From 76d8c0d693592de3ac7609cc3d6f453d1f91745d Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Sat, 3 Oct 2026 18:05:43 +0100 Subject: [PATCH 01/39] Phase 0: integration branch with the API batch (spf_dag, EdgePriority, from_hops, cost metadata) Co-Authored-By: Claude Opus 5.5 --- .pre-commit-config.yaml | 4 +- CHANGELOG.md | 13 + README.md | 5 +- bindings/python/module.cpp | 27 +- dev/perf/spf_queue/README.md | 8 + dev/perf/spf_queue/harness.cpp | 38 +- dev/perf/spf_queue/results/dag/a1-old.csv | 11 + dev/perf/spf_queue/results/dag/a2-old.csv | 11 + dev/perf/spf_queue/results/dag/b-new-dag.csv | 11 + dev/perf/spf_queue/results/dag/b-new-full.csv | 11 + .../spf_queue/results/dag/environment.txt | 6 + dev/perf/spf_queue/results/dag/load.txt | 2 + .../spf_queue/results/netgraph-api/a1-old.csv | 17 + .../spf_queue/results/netgraph-api/a2-old.csv | 17 + .../results/netgraph-api/b-new-heap.csv | 17 + .../spf_queue/results/netgraph-api/b-new.csv | 17 + .../results/netgraph-api/environment.txt | 8 + .../spf_queue/results/netgraph-api/load.txt | 5 + .../spf_queue/results/priority/a1-old.csv | 11 + .../spf_queue/results/priority/a2-old.csv | 11 + .../results/priority/b-new-capacity.csv | 11 + .../results/priority/b-new-headroom.csv | 11 + .../priority/b-new-residual-single.csv | 11 + dev/perf/spf_queue/results/priority/b-new.csv | 11 + .../results/priority/environment.txt | 6 + dev/perf/spf_queue/results/priority/load.txt | 5 + include/netgraph/core/algorithms.hpp | 5 + include/netgraph/core/backend.hpp | 17 + include/netgraph/core/flow_graph.hpp | 2 + include/netgraph/core/flow_policy.hpp | 3 + include/netgraph/core/shortest_paths.hpp | 26 ++ include/netgraph/core/types.hpp | 14 +- pyproject.toml | 2 + python/netgraph_core/__init__.py | 3 + python/netgraph_core/_docs.py | 73 +++- src/cpu_backend.cpp | 7 + src/flow_policy.cpp | 22 +- src/flow_state.cpp | 10 +- src/k_shortest_paths.cpp | 8 +- src/max_flow.cpp | 8 +- src/shortest_paths.cpp | 399 +++++++++++------- tests/cpp/flow_graph_tests.cpp | 20 + tests/cpp/shortest_paths_tests.cpp | 142 ++++++- tests/py/test_graph_cost_metadata.py | 29 ++ tests/py/test_pred_dag_from_hops.py | 74 ++++ tests/py/test_spf_edge_priority.py | 71 ++++ 46 files changed, 1063 insertions(+), 177 deletions(-) create mode 100644 dev/perf/spf_queue/results/dag/a1-old.csv create mode 100644 dev/perf/spf_queue/results/dag/a2-old.csv create mode 100644 dev/perf/spf_queue/results/dag/b-new-dag.csv create mode 100644 dev/perf/spf_queue/results/dag/b-new-full.csv create mode 100644 dev/perf/spf_queue/results/dag/environment.txt create mode 100644 dev/perf/spf_queue/results/dag/load.txt create mode 100644 dev/perf/spf_queue/results/netgraph-api/a1-old.csv create mode 100644 dev/perf/spf_queue/results/netgraph-api/a2-old.csv create mode 100644 dev/perf/spf_queue/results/netgraph-api/b-new-heap.csv create mode 100644 dev/perf/spf_queue/results/netgraph-api/b-new.csv create mode 100644 dev/perf/spf_queue/results/netgraph-api/environment.txt create mode 100644 dev/perf/spf_queue/results/netgraph-api/load.txt create mode 100644 dev/perf/spf_queue/results/priority/a1-old.csv create mode 100644 dev/perf/spf_queue/results/priority/a2-old.csv create mode 100644 dev/perf/spf_queue/results/priority/b-new-capacity.csv create mode 100644 dev/perf/spf_queue/results/priority/b-new-headroom.csv create mode 100644 dev/perf/spf_queue/results/priority/b-new-residual-single.csv create mode 100644 dev/perf/spf_queue/results/priority/b-new.csv create mode 100644 dev/perf/spf_queue/results/priority/environment.txt create mode 100644 dev/perf/spf_queue/results/priority/load.txt create mode 100644 tests/py/test_graph_cost_metadata.py create mode 100644 tests/py/test_pred_dag_from_hops.py create mode 100644 tests/py/test_spf_edge_priority.py diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 0dfd90b..e33a25d 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -6,9 +6,9 @@ repos: - id: check-yaml # Recorded measurement artefacts and review patches must stay byte-exact. - id: end-of-file-fixer - exclude: ^dev/(research/|perf/.*/(results|review-[^/]+)/) + exclude: ^dev/(research/|perf/.*/(results|review-[^/]+)/|reviews/|design/.*/experiments/) - id: trailing-whitespace - exclude: ^dev/(research/|perf/.*/(results|review-[^/]+)/) + exclude: ^dev/(research/|perf/.*/(results|review-[^/]+)/|reviews/|design/.*/experiments/) - id: mixed-line-ending - id: debug-statements diff --git a/CHANGELOG.md b/CHANGELOG.md index e2b5c1a..62bdd65 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,6 +5,19 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [Unreleased] + +### Added + +- **Shortest Paths**: `shortest_paths_dag(g, src, dst, ...)` (C++) and `Backend::spf_dag` / `Algorithms::spf_dag` return the destination's cost and the predecessor DAG without materialising the N-sized distance vector; `calc_max_flow`, `FlowState::place_max_flow`, `FlowPolicy` and the KSP spur searches now use it (outputs unchanged). `Backend::spf_dag` has a default implementation derived from `spf`, so other backends need no change. Measured old/new/old against 0.11.0: about 1.25x on first-neighbour searches at 16k–262k nodes, unchanged on full searches. +- **Graph**: `StrictMultiDiGraph.max_cost()` / `cost_gcd()` in Python, the inputs of the bucket-queue dispatch rule (`max_cost // cost_gcd + 1 <= 65536`). +- **Explicit Paths**: `PredDAG.from_hops(graph, hops)` (C++ `make_hops_dag`) builds a route whose hops may each use several parallel edges, so a pinned bundle carries all of them (a 4 x 10 bundle carries 40 where `from_edges` with one edge carries 10). `from_edges` is the one-edge-per-hop case and shares the validation. +- **Shortest Paths**: `EdgeSelection.priority` (`EdgePriority.RESIDUAL` | `CAPACITY` | `HEADROOM`) selects the per-edge value that the `PREFER_HIGHER_RESIDUAL` tie-break and the node-level bottleneck ordering rank by: the residual (the default and the previous behaviour), the static capacity even when a residual is supplied, or the headroom `residual / capacity`. Capacity gating is unchanged and always uses the residual. The default route is unaffected (same code, bit-identical outputs); the other priorities cost one extra capacity load (and a division for headroom) per examined edge. + +### Fixed + +- **Flow Policy**: two policies managing the same `(src, dst, flowClass)` on one `FlowGraph` assign the same flow ids, so they previously merged their allocations under identical ledger keys and `remove_demand` on one zeroed the other's flow. Creating a flow whose index the ledger already holds now raises `ValueError` instead. + ## [0.11.0] - 2026-10-02 ### Changed diff --git a/README.md b/README.md index 6bd2eff..ee28cef 100644 --- a/README.md +++ b/README.md @@ -22,7 +22,7 @@ NetGraph-Core provides a specialized graph implementation for networking problem - **Shortest Paths (SPF)**: - Modified Dijkstra returns a **Predecessor DAG** to capture all equal-cost paths. - Supports **ECMP** (Equal-Cost Multi-Path) routing. - - Features **node/edge masking** and **residual-aware tie-breaking**. + - Features **node/edge masking** and **residual-aware tie-breaking**, with a selectable priority value (residual, static capacity, or headroom = residual / capacity). - **K-Shortest Paths (KSP)**: - Yen's algorithm returning DAG-wrapped paths. @@ -30,7 +30,8 @@ NetGraph-Core provides a specialized graph implementation for networking problem - **Explicit Paths**: - `PredDAG.from_edges(graph, edges)` builds a path bundle from an operator-supplied - edge sequence, usable anywhere a `PredDAG` is accepted. + edge sequence, usable anywhere a `PredDAG` is accepted; `PredDAG.from_hops(graph, hops)` + does the same for routes whose hops use several parallel edges. - **Max-Flow**: - **Algorithm**: Iterative augmentation using Successive Shortest Path on residual graphs, pushing flow across full ECMP/WCMP DAGs at each step. For `Proportional` placement with `require_capacity=True`, a final residual completion phase augments with reverse arcs so the result is a true maximum flow; the other modes are placement models and may report less. diff --git a/bindings/python/module.cpp b/bindings/python/module.cpp index e01488f..0909e39 100644 --- a/bindings/python/module.cpp +++ b/bindings/python/module.cpp @@ -95,18 +95,25 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { .value("DETERMINISTIC", EdgeTieBreak::Deterministic) .value("PREFER_HIGHER_RESIDUAL", EdgeTieBreak::PreferHigherResidual); + py::enum_(m, "EdgePriority") + .value("RESIDUAL", EdgePriority::Residual) + .value("CAPACITY", EdgePriority::Capacity) + .value("HEADROOM", EdgePriority::Headroom); + py::class_(m, "EdgeSelection") .def(py::init<>()) - .def(py::init([](bool multi_edge, bool require_capacity, EdgeTieBreak tie_break){ - EdgeSelection s; s.multi_edge = multi_edge; s.require_capacity = require_capacity; s.tie_break = tie_break; return s; + .def(py::init([](bool multi_edge, bool require_capacity, EdgeTieBreak tie_break, EdgePriority priority){ + EdgeSelection s; s.multi_edge = multi_edge; s.require_capacity = require_capacity; s.tie_break = tie_break; s.priority = priority; return s; }), py::kw_only(), py::arg("multi_edge") = true, py::arg("require_capacity") = false, - py::arg("tie_break") = EdgeTieBreak::Deterministic) + py::arg("tie_break") = EdgeTieBreak::Deterministic, + py::arg("priority") = EdgePriority::Residual) .def_readwrite("multi_edge", &EdgeSelection::multi_edge) .def_readwrite("require_capacity", &EdgeSelection::require_capacity) - .def_readwrite("tie_break", &EdgeSelection::tie_break); + .def_readwrite("tie_break", &EdgeSelection::tie_break) + .def_readwrite("priority", &EdgeSelection::priority); py::enum_(m, "FlowPlacement") .value("PROPORTIONAL", FlowPlacement::Proportional) @@ -138,6 +145,8 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { py::arg("ext_edge_ids")) .def("num_nodes", &StrictMultiDiGraph::num_nodes) .def("num_edges", &StrictMultiDiGraph::num_edges) + .def("max_cost", &StrictMultiDiGraph::max_cost) + .def("cost_gcd", &StrictMultiDiGraph::cost_gcd) .def("capacity_view", [](const StrictMultiDiGraph& g){ return copy_to_numpy(g.capacity_view()); }) .def("edge_src_view", [](const StrictMultiDiGraph& g){ return copy_to_numpy(g.edge_src_view()); }) .def("edge_dst_view", [](const StrictMultiDiGraph& g){ return copy_to_numpy(g.edge_dst_view()); }) @@ -379,6 +388,16 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { .def_property_readonly("via_edges", [](const PredDAG& d){ return copy_to_numpy(std::span(d.via_edges.data(), d.via_edges.size())); }) + .def_static("from_hops", [](const StrictMultiDiGraph& g, py::sequence hops){ + std::vector> h; + h.reserve(static_cast(py::len(hops))); + for (auto hop : hops) { + std::vector edges; + for (auto e : py::cast(hop)) edges.push_back(py::cast(e)); + h.push_back(std::move(edges)); + } + return make_hops_dag(g, h); + }, py::arg("graph"), py::arg("hops")) .def_static("from_edges", [](const StrictMultiDiGraph& g, py::sequence edges){ std::vector e; e.reserve(py::len(edges)); diff --git a/dev/perf/spf_queue/README.md b/dev/perf/spf_queue/README.md index 9b1c88d..fe7286a 100644 --- a/dev/perf/spf_queue/README.md +++ b/dev/perf/spf_queue/README.md @@ -46,6 +46,14 @@ with the ten-worker batch timings in the research reports. each binary was built from (`cpu-queue-old` is built from a `git archive` of the base commit); `b-new-heap` forces the heap route in the new binary as an in-binary control. +- `results/priority/`: old/new/old for the `EdgeSelection::priority` addition + (default route against 0.11.0, plus the opt-in `capacity` and `headroom` + priorities timed in single-path `PreferHigherResidual` mode via + `SPFX_PRIORITY=capacity|headroom`). +- `results/dag/`: old/new/old for `shortest_paths_dag` (the DAG-only + destination search used by max-flow, FlowPolicy and KSP), timed via + `SPFX_DAG=1` on the destination rows: about 1.25x over 0.11.0 on + first-neighbour queries, unchanged elsewhere. - `bench_netgraph.py` + `run_netgraph_aba.sh` + `results/netgraph/`: old/new/old on NetGraph workloads run through NetGraph's own API and interpreter (full SPF, bound-context max-flow with pseudo nodes, failure exclusions, demand diff --git a/dev/perf/spf_queue/harness.cpp b/dev/perf/spf_queue/harness.cpp index 1e8b869..7aa04c5 100644 --- a/dev/perf/spf_queue/harness.cpp +++ b/dev/perf/spf_queue/harness.cpp @@ -12,6 +12,7 @@ #include #include #include +#include #include #include #include @@ -120,11 +121,19 @@ struct Query { bool use_residual; bool use_masks; bool reverse = false; }; +// SPFX_DAG=1 times shortest_paths_dag for destination queries; its result is +// folded into the Result shape with the target cost as the only distance. +static const bool kDagMode = std::getenv("SPFX_DAG") != nullptr; + static Result run_ref(const Case& c, const Query& q) { auto res = q.use_residual ? std::span(c.residual) : std::span{}; auto nm = q.use_masks ? c.nm() : std::span{}; auto em = q.use_masks ? c.em() : std::span{}; if (q.reverse) return shortest_paths_to(c.graph, q.src, q.multipath, q.sel, res, nm, em, {}); + if (kDagMode && q.dst) { + auto [cost, dag] = shortest_paths_dag(c.graph, q.src, *q.dst, q.multipath, q.sel, res, nm, em); + return Result{std::vector{cost}, std::move(dag)}; + } return shortest_paths(c.graph, q.src, q.dst, q.multipath, q.sel, res, nm, em); } @@ -163,6 +172,15 @@ static bool same(const Result& a, const Result& b) { return a.first == b.first && a.second.parent_offsets == b.second.parent_offsets && a.second.parents == b.second.parents && a.second.via_edges == b.second.via_edges; } +// In DAG mode the expected result is the full search; compare its target cost and DAG. +static bool same_for_query(const Query& q, const Result& expected, const Result& actual) { + if (kDagMode && q.dst && !q.reverse) { + return actual.first.size() == 1 && actual.first[0] == expected.first[static_cast(*q.dst)] && + expected.second.parent_offsets == actual.second.parent_offsets && + expected.second.parents == actual.second.parents && expected.second.via_edges == actual.second.via_edges; + } + return same(expected, actual); +} static NodeId far_node(const std::vector& d) { NodeId best = -1; Cost bd = -1; @@ -251,6 +269,12 @@ static void time_workloads(std::vector& wls, const std::string& varian std::vector qs; for (int i = 0; i < w.queries; ++i) { Query q; q.multipath = true; q.sel = EdgeSelection{}; q.use_residual = true; q.use_masks = true; + if (const char* pr = std::getenv("SPFX_PRIORITY")) { // time a non-default EdgePriority + const std::string p(pr); + if (p == "capacity") q.sel.priority = EdgePriority::Capacity; + else if (p == "headroom") q.sel.priority = EdgePriority::Headroom; + q.multipath = false; q.sel.tie_break = EdgeTieBreak::PreferHigherResidual; // where the value is used most + } q.src = c.fixed_src >= 0 ? c.fixed_src : (i * 997) % n; if (w.dst_mode == "reverse") q.reverse = true; else if (w.dst_mode == "fixed") q.dst = c.fixed_dst; @@ -262,7 +286,16 @@ static void time_workloads(std::vector& wls, const std::string& varian } qs.push_back(q); } - std::vector expected; for (auto& q : qs) expected.push_back(run_ref(c, q)); + std::vector expected; + for (auto& q : qs) { // reference: the full forward search for DAG-mode destination queries + if (kDagMode && q.dst && !q.reverse) { + expected.push_back(shortest_paths(c.graph, q.src, q.dst, q.multipath, q.sel, + q.use_residual ? std::span(c.residual) : std::span{}, + q.use_masks ? c.nm() : std::span{}, q.use_masks ? c.em() : std::span{})); + } else { + expected.push_back(run_ref(c, q)); + } + } Runner r; r.variant = variant; r.max_width = maxw; r.prepare(c); std::vector times; for (int rep = -2; rep < samples; ++rep) { @@ -270,7 +303,8 @@ static void time_workloads(std::vector& wls, const std::string& varian auto start = Clock::now(); for (std::size_t i = 0; i < qs.size(); ++i) actual[i] = r.run(c, qs[i]); double el = ms(start); - for (std::size_t i = 0; i < qs.size(); ++i) if (!same(expected[i], actual[i])) throw std::runtime_error("timed result mismatch in " + w.label); + for (std::size_t i = 0; i < qs.size(); ++i) if (!same_for_query(qs[i], expected[i], actual[i])) + throw std::runtime_error("timed result mismatch in " + w.label + " query " + std::to_string(i) + " dst=" + (qs[i].dst ? std::to_string(*qs[i].dst) : "none") + " dist sizes " + std::to_string(expected[i].first.size()) + "/" + std::to_string(actual[i].first.size())); if (rep >= 0) times.push_back(el); } std::vector sorted = times; std::sort(sorted.begin(), sorted.end()); diff --git a/dev/perf/spf_queue/results/dag/a1-old.csv b/dev/perf/spf_queue/results/dag/a1-old.csv new file mode 100644 index 0000000..fefc4ce --- /dev/null +++ b/dev/perf/spf_queue/results/dag/a1-old.csv @@ -0,0 +1,11 @@ +case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms +random,16384,131072,64,none,ref,0,32,152.648875,7,152.167166;153.360875;152.907875;152.632458;152.822292;152.368542;152.648875 +random,65536,524288,1,none,ref,0,32,14.920958,7,16.236834;14.825542;16.897875;13.913708;15.185750;14.424959;14.920958 +clos,800,320000,64,none,ref,0,2,111.433875,7,112.056041;111.918375;110.848834;111.597542;110.760041;111.433875;110.599667 +chain,2048,2047,1,none,ref,0,32,0.029333,7,0.025750;0.029416;0.026708;0.027667;0.029417;0.029333;0.029667 +random,16384,131072,64,near,ref,0,32,0.407667,7,0.425208;0.403834;0.399167;0.407667;0.411083;0.402583;0.411292 +random,65536,524288,64,near,ref,0,32,1.579917,7,1.499792;1.495166;1.604000;2.009208;1.673083;1.579917;1.566625 +random,262144,2097152,16,near,ref,0,32,1.454875,7,1.460209;1.514375;1.394875;1.452666;1.452750;1.454875;1.578333 +random,262144,2097152,1,none,ref,0,32,97.267917,7,97.108584;97.267917;98.792542;96.674833;98.478833;97.012041;97.615250 +random,4096,32768,64,reverse,ref,0,32,34.863542,7,34.934208;35.170667;34.723084;34.276083;34.754542;34.863542;34.981958 +clos,800,320000,16,reverse,ref,0,2,40.670541,7,39.681333;41.645791;41.529250;40.433167;40.670541;40.816292;40.299417 diff --git a/dev/perf/spf_queue/results/dag/a2-old.csv b/dev/perf/spf_queue/results/dag/a2-old.csv new file mode 100644 index 0000000..d1546b1 --- /dev/null +++ b/dev/perf/spf_queue/results/dag/a2-old.csv @@ -0,0 +1,11 @@ +case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms +random,16384,131072,64,none,ref,0,32,153.165667,7,152.957375;151.711541;153.660375;153.659708;152.538166;153.165667;155.704375 +random,65536,524288,1,none,ref,0,32,13.659042,7,14.052708;13.553333;13.659042;14.954041;14.541875;12.997458;13.054584 +clos,800,320000,64,none,ref,0,2,113.659542,7,113.740625;114.077916;112.995792;113.659542;112.719250;114.274875;112.979500 +chain,2048,2047,1,none,ref,0,32,0.032583,7,0.032458;0.032958;0.032583;0.032292;0.032875;0.032833;0.032375 +random,16384,131072,64,near,ref,0,32,0.408459,7,0.396667;0.396875;0.394208;0.408459;0.411042;0.411958;0.420041 +random,65536,524288,64,near,ref,0,32,1.589042,7,1.506250;1.943542;1.643042;1.527500;1.519208;1.729375;1.589042 +random,262144,2097152,16,near,ref,0,32,1.516084,7,1.547583;1.555666;1.506417;1.528833;1.492750;1.516084;1.471041 +random,262144,2097152,1,none,ref,0,32,98.082583,7,98.082583;97.663250;100.059834;98.294333;98.673375;97.223625;97.694875 +random,4096,32768,64,reverse,ref,0,32,34.828750,7,34.917375;35.040416;34.719875;34.828458;35.091791;34.828750;34.700792 +clos,800,320000,16,reverse,ref,0,2,39.611083,7,39.576708;39.611083;39.915917;40.217500;39.978833;39.580583;39.046459 diff --git a/dev/perf/spf_queue/results/dag/b-new-dag.csv b/dev/perf/spf_queue/results/dag/b-new-dag.csv new file mode 100644 index 0000000..bbd56d0 --- /dev/null +++ b/dev/perf/spf_queue/results/dag/b-new-dag.csv @@ -0,0 +1,11 @@ +case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms +random,16384,131072,64,none,ref,0,32,147.204834,7,148.269791;146.921083;148.045750;146.513042;148.202917;147.204834;146.236167 +random,65536,524288,1,none,ref,0,32,13.981000,7,15.172208;15.104417;13.815083;13.842041;12.977916;15.596917;13.981000 +clos,800,320000,64,none,ref,0,2,102.374208,7,102.762583;102.448042;103.339666;102.294750;101.823958;102.374208;101.949791 +chain,2048,2047,1,none,ref,0,32,0.028000,7,0.027750;0.027709;0.028083;0.027917;0.028375;0.028000;0.028292 +random,16384,131072,64,near,ref,0,32,0.336208,7,0.362583;0.336208;0.351084;0.340000;0.309000;0.329541;0.334750 +random,65536,524288,64,near,ref,0,32,1.255792,7,1.378250;1.308292;1.330916;1.255792;1.228958;1.246417;1.253375 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index 0000000..75af2c4 --- /dev/null +++ b/dev/perf/spf_queue/results/dag/load.txt @@ -0,0 +1,2 @@ +19:13 up 52 days, 23:49, 3 users, load averages: 4.78 12.34 19.44 +19:13 up 52 days, 23:49, 3 users, load averages: 4.34 11.75 19.06 diff --git a/dev/perf/spf_queue/results/netgraph-api/a1-old.csv b/dev/perf/spf_queue/results/netgraph-api/a1-old.csv new file mode 100644 index 0000000..885fbf3 --- /dev/null +++ b/dev/perf/spf_queue/results/netgraph-api/a1-old.csv @@ -0,0 +1,17 @@ +workload,label,median_s,samples,checksum,samples_s +spf_full_clos_200x200,a1-old,0.164199,5,946e7cf8b5a36980,0.164200;0.163339;0.163427;0.164199;0.164551 +spf_full_grid_100x100_weighted,a1-old,0.180069,5,4c2f7751ff9a5057,0.181406;0.179029;0.180069;0.179642;0.180765 +maxflow_clos_200x200_combine,a1-old,0.047420,5,2576c34f1fd9b85e,0.047402;0.047450;0.047170;0.047846;0.047420 +maxflow_failures_clos_100x100_x100,a1-old,0.040212,5,26dc7541b17fd051,0.040212;0.040723;0.040146;0.040529;0.039536 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b/dev/perf/spf_queue/results/netgraph-api/b-new.csv new file mode 100644 index 0000000..4c97086 --- /dev/null +++ b/dev/perf/spf_queue/results/netgraph-api/b-new.csv @@ -0,0 +1,17 @@ +workload,label,median_s,samples,checksum,samples_s +spf_full_clos_200x200,b-new,0.157989,5,946e7cf8b5a36980,0.158181;0.157301;0.157989;0.157473;0.158350 +spf_full_grid_100x100_weighted,b-new,0.180796,5,4c2f7751ff9a5057,0.180796;0.181414;0.180503;0.182915;0.180604 +maxflow_clos_200x200_combine,b-new,0.045661,5,2576c34f1fd9b85e,0.046378;0.045917;0.045661;0.045093;0.045019 +maxflow_failures_clos_100x100_x100,b-new,0.038526,5,26dc7541b17fd051,0.038590;0.038414;0.038400;0.038529;0.038526 +maxflow_grid_100x100_weighted_combine,b-new,0.171153,5,b0453b641647871b,0.172839;0.173989;0.170848;0.169668;0.171153 +maxflow_grid_100x100_weighted_pairwise,b-new,0.218760,5,4fc2486a01221d75,0.222728;0.217684;0.183078;0.218760;0.220241 +placement_backbone_clos,b-new,0.069585,5,a3bbef71a61656e1,0.069335;0.070424;0.069104;0.070529;0.069585 +placement_mc_backbone_clos_x300,b-new,0.068743,5,13b9a5f311b911a9,0.068743;0.069898;0.067806;0.067056;0.068923 +maxflow_mc_backbone_clos_x300,b-new,0.027577,5,ac971ec1b53a4b0a,0.027735;0.027662;0.027234;0.027577;0.027326 +ksp_clos3_pairwise_k8,b-new,0.044595,5,9bf30f2f50792fe9,0.044767;0.044511;0.045780;0.044129;0.044595 +maxflow_clos3_pod_pairs_combine,b-new,0.170686,5,2e23a5712f361ff7,0.169656;0.171535;0.205557;0.170686;0.170334 +placement_clos3_wcmp_and_ecmp,b-new,0.382645,5,14d7ba5534c9ce95,0.390539;0.383919;0.382645;0.381250;0.344172 +placement_clos3_failures_x20,b-new,7.832697,5,eafa50e144281360,7.797490;7.832697;7.863150;7.782276;7.885314 +scenario_square_mesh_iter100,b-new,0.010150,5,5046cbe45e195f6e,0.010457;0.010075;0.010150;0.010102;0.010323 +scenario_nsfnet_iter200,b-new,0.950681,5,d966e67ffac4393c,0.964545;0.950681;0.944029;0.992850;0.947637 +scenario_backbone_clos_iter100,b-new,0.079879,5,e904ac0839c6cac1,0.080338;0.079758;0.081120;0.079879;0.079752 diff --git a/dev/perf/spf_queue/results/netgraph-api/environment.txt b/dev/perf/spf_queue/results/netgraph-api/environment.txt new file mode 100644 index 0000000..db978f6 --- /dev/null +++ b/dev/perf/spf_queue/results/netgraph-api/environment.txt @@ -0,0 +1,8 @@ +date: 2026-10-02T18:15:33Z +new: d5717cced8a4451258f114d8e78d67ab0dc14248 (dirty: 29 paths) +old: d5717cced8a4451258f114d8e78d67ab0dc14248 +netgraph: 33fadebf7fe05985cc70647fc422287afaa3221c +dd3b394c0ba16f7ed0e0e403188f4fcc38dbd9ce2cf594368d2b2a8a19a105a0 dev/perf/spf_queue/bench_netgraph.py +be97554943acc1301b21dfb4b12d1a8603de1f8017b843243902ef09c8e6b981 /Users/networmix/ws/NetGraph-Core/venv/lib/python3.14/site-packages/_netgraph_core.cpython-314-darwin.so +9d684e1280714cd8d4b275c418b34cf936e0b340243612bfab40913bbe60610c /Users/networmix/ws/NetGraph-Core-main/venv/lib/python3.14/site-packages/_netgraph_core.cpython-314-darwin.so +Apple M4 Max diff --git a/dev/perf/spf_queue/results/netgraph-api/load.txt b/dev/perf/spf_queue/results/netgraph-api/load.txt new file mode 100644 index 0000000..c657a0f --- /dev/null +++ b/dev/perf/spf_queue/results/netgraph-api/load.txt @@ -0,0 +1,5 @@ +19:15 up 52 days, 23:51, 3 users, load averages: 4.90 9.98 17.60 +19:16 up 52 days, 23:52, 3 users, load averages: 5.13 9.03 16.68 +19:17 up 52 days, 23:53, 3 users, load averages: 4.07 8.05 15.79 +19:18 up 52 days, 23:54, 3 users, load averages: 5.16 7.58 15.05 +19:19 up 52 days, 23:55, 3 users, load averages: 4.97 7.09 14.35 diff --git a/dev/perf/spf_queue/results/priority/a1-old.csv b/dev/perf/spf_queue/results/priority/a1-old.csv new file mode 100644 index 0000000..065c3ab --- /dev/null +++ b/dev/perf/spf_queue/results/priority/a1-old.csv @@ -0,0 +1,11 @@ +case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms +random,16384,131072,64,none,ref,0,32,149.947042,7,148.096291;146.522667;164.538958;170.384166;168.072167;147.836833;149.947042 +random,65536,524288,1,none,ref,0,32,14.036084,7,14.626750;16.255041;13.739958;14.972333;13.566417;13.306292;14.036084 +clos,800,320000,64,none,ref,0,2,108.680541,7,109.401542;108.082334;108.293334;110.645417;109.045250;108.680541;108.196625 +chain,2048,2047,1,none,ref,0,32,0.029709,7,0.030458;0.029709;0.029875;0.029833;0.029375;0.029209;0.026541 +random,16384,131072,64,near,ref,0,32,0.394292,7,0.392916;0.396292;0.394292;0.393292;0.393416;0.411791;0.408000 +random,65536,524288,64,near,ref,0,32,1.513084,7,1.513084;1.514875;1.520500;1.531958;1.490333;1.493584;1.503292 +random,262144,2097152,16,near,ref,0,32,1.475125,7,1.464167;1.463459;1.468833;1.475125;1.486791;1.477875;1.503500 +random,262144,2097152,1,none,ref,0,32,91.345667,7,91.712708;91.345667;91.229959;88.957541;93.626250;92.104708;90.893166 +random,4096,32768,64,reverse,ref,0,32,34.358542,7,33.641125;33.889917;34.118042;34.358542;35.146875;35.473083;34.650833 +clos,800,320000,16,reverse,ref,0,2,37.327792,7,37.838500;36.963750;36.841042;37.327792;37.318583;37.761125;38.013791 diff --git a/dev/perf/spf_queue/results/priority/a2-old.csv b/dev/perf/spf_queue/results/priority/a2-old.csv new file mode 100644 index 0000000..75b9513 --- /dev/null +++ b/dev/perf/spf_queue/results/priority/a2-old.csv @@ -0,0 +1,11 @@ +case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms +random,16384,131072,64,none,ref,0,32,148.279417,7,148.184917;153.213083;148.147000;148.114083;149.098542;150.540208;148.279417 +random,65536,524288,1,none,ref,0,32,12.526334,7,13.445667;13.420208;13.369916;11.817458;12.019041;12.369042;12.526334 +clos,800,320000,64,none,ref,0,2,108.296291,7,108.092833;107.961917;109.981458;111.156125;108.413750;108.062584;108.296291 +chain,2048,2047,1,none,ref,0,32,0.026500,7,0.025875;0.025958;0.026334;0.026500;0.028834;0.029125;0.028750 +random,16384,131072,64,near,ref,0,32,0.405958,7,0.401833;0.409375;0.393375;0.421708;0.394041;0.405958;0.422333 +random,65536,524288,64,near,ref,0,32,1.511792,7,1.504083;1.570667;1.511792;1.529917;1.506250;1.516625;1.490667 +random,262144,2097152,16,near,ref,0,32,1.465083,7,1.449375;1.456542;1.473583;1.465083;1.481459;1.499750;1.449583 +random,262144,2097152,1,none,ref,0,32,91.408000,7,89.104458;92.220833;93.374208;92.226583;89.439250;91.408000;88.846250 +random,4096,32768,64,reverse,ref,0,32,34.143500,7,34.236500;34.307791;34.026709;33.957084;34.143500;34.224667;33.820292 +clos,800,320000,16,reverse,ref,0,2,37.667583,7,37.375000;38.367917;38.190458;37.667583;37.762083;36.788125;36.170958 diff --git a/dev/perf/spf_queue/results/priority/b-new-capacity.csv b/dev/perf/spf_queue/results/priority/b-new-capacity.csv new file mode 100644 index 0000000..9682476 --- /dev/null +++ b/dev/perf/spf_queue/results/priority/b-new-capacity.csv @@ -0,0 +1,11 @@ +case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms +random,16384,131072,64,none,ref,0,32,151.414958,7,151.624500;150.795833;156.696459;149.771292;149.438541;152.103750;151.414958 +random,65536,524288,1,none,ref,0,32,13.349125,7,12.904959;14.485500;14.418417;13.398958;13.349125;13.241584;12.693167 +clos,800,320000,64,none,ref,0,2,55.644000,7,56.308125;56.209333;55.583083;55.285958;55.671083;55.644000;55.416084 +chain,2048,2047,1,none,ref,0,32,0.026625,7,0.026791;0.026125;0.026625;0.026375;0.026666;0.026167;0.026667 +random,16384,131072,64,near,ref,0,32,0.394917,7,0.414792;0.393667;0.399500;0.397209;0.394000;0.394292;0.394917 +random,65536,524288,64,near,ref,0,32,1.507209,7,1.512250;1.507209;1.497959;1.404750;1.510208;1.500500;1.523250 +random,262144,2097152,16,near,ref,0,32,1.476625,7,1.493833;1.472417;1.452833;1.515292;1.476625;1.449916;1.496917 +random,262144,2097152,1,none,ref,0,32,93.582083,7,93.134083;92.153500;99.965167;103.025542;94.254500;93.268208;93.582083 +random,4096,32768,64,reverse,ref,0,32,35.378500,7,36.071667;35.307708;35.378500;35.161625;35.456250;35.369500;35.790583 +clos,800,320000,16,reverse,ref,0,2,18.969208,7,19.031709;18.969208;18.642166;18.671083;18.642459;19.099584;19.787417 diff --git a/dev/perf/spf_queue/results/priority/b-new-headroom.csv b/dev/perf/spf_queue/results/priority/b-new-headroom.csv new file mode 100644 index 0000000..b7e3068 --- /dev/null +++ b/dev/perf/spf_queue/results/priority/b-new-headroom.csv @@ -0,0 +1,11 @@ +case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms +random,16384,131072,64,none,ref,0,32,146.796625,7,145.908792;146.796625;144.728250;144.656834;147.028583;150.304333;147.094459 +random,65536,524288,1,none,ref,0,32,12.153208,7,11.960625;12.153208;12.526166;11.373416;11.399250;12.413167;14.555958 +clos,800,320000,64,none,ref,0,2,53.643875,7,53.569250;53.643875;53.827125;53.712458;53.620333;53.635208;54.391542 +chain,2048,2047,1,none,ref,0,32,0.029000,7,0.028667;0.029000;0.028667;0.028833;0.031875;0.031667;0.029542 +random,16384,131072,64,near,ref,0,32,0.391958,7,0.384208;0.380708;0.409042;0.391958;0.389500;0.399166;0.399667 +random,65536,524288,64,near,ref,0,32,1.518458,7,1.518458;1.544708;1.665042;1.463750;1.537667;1.509084;1.510625 +random,262144,2097152,16,near,ref,0,32,1.469083,7,1.502083;1.467167;1.469083;1.480875;1.467584;1.508083;1.463042 +random,262144,2097152,1,none,ref,0,32,74.176667,7,74.176083;74.533000;74.875209;75.312667;74.176667;73.903292;73.634333 +random,4096,32768,64,reverse,ref,0,32,34.583708,7,34.863042;35.064666;34.825333;34.549792;34.583708;34.488125;34.552875 +clos,800,320000,16,reverse,ref,0,2,17.343000,7,17.329250;17.511542;17.439958;17.322833;17.687459;17.190833;17.343000 diff --git a/dev/perf/spf_queue/results/priority/b-new-residual-single.csv b/dev/perf/spf_queue/results/priority/b-new-residual-single.csv new file mode 100644 index 0000000..513f8c9 --- /dev/null +++ b/dev/perf/spf_queue/results/priority/b-new-residual-single.csv @@ -0,0 +1,11 @@ +case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms +random,16384,131072,64,none,ref,0,32,147.487417,7,147.317250;147.268583;147.801167;147.176166;147.487417;148.155750;149.413417 +random,65536,524288,1,none,ref,0,32,11.326166,7,11.819458;12.234750;11.800084;10.985958;11.052417;11.079250;11.326166 +clos,800,320000,64,none,ref,0,2,54.487083,7,54.487083;54.215458;54.391500;55.709875;55.749041;54.909458;53.593959 +chain,2048,2047,1,none,ref,0,32,0.027667,7,0.027459;0.027458;0.027375;0.030750;0.032917;0.027667;0.042333 +random,16384,131072,64,near,ref,0,32,0.393666,7,0.398708;0.394875;0.418917;0.389875;0.393666;0.389583;0.388291 +random,65536,524288,64,near,ref,0,32,1.546584,7,1.612292;1.560833;1.556750;1.543833;1.539750;1.469000;1.546584 +random,262144,2097152,16,near,ref,0,32,1.451500,7,1.404000;1.479292;1.451500;1.453292;1.521333;1.432792;1.447250 +random,262144,2097152,1,none,ref,0,32,90.980209,7,91.145958;90.980209;89.013833;89.918084;94.619875;92.344875;90.443500 +random,4096,32768,64,reverse,ref,0,32,34.809083,7,35.012083;34.426667;34.760625;34.992375;34.809083;35.228750;34.739417 +clos,800,320000,16,reverse,ref,0,2,16.962417,7,16.856250;16.830958;16.741042;16.962417;16.981292;17.517209;17.196833 diff --git a/dev/perf/spf_queue/results/priority/b-new.csv b/dev/perf/spf_queue/results/priority/b-new.csv new file mode 100644 index 0000000..e565dcc --- /dev/null +++ b/dev/perf/spf_queue/results/priority/b-new.csv @@ -0,0 +1,11 @@ +case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms +random,16384,131072,64,none,ref,0,32,144.942292,7,144.519542;145.649625;143.703583;144.353833;146.777459;145.086292;144.942292 +random,65536,524288,1,none,ref,0,32,11.476084,7,11.089792;11.476084;12.379958;12.141416;11.163583;11.282458;12.805625 +clos,800,320000,64,none,ref,0,2,103.054334,7,102.478542;103.054334;103.844792;102.837041;102.534541;104.274334;103.562792 +chain,2048,2047,1,none,ref,0,32,0.026333,7,0.026208;0.026208;0.026333;0.026917;0.030417;0.026208;0.026375 +random,16384,131072,64,near,ref,0,32,0.401375,7,0.409125;0.369000;0.401375;0.388167;0.393292;0.423291;0.404333 +random,65536,524288,64,near,ref,0,32,1.526208,7,1.508333;1.530334;1.526208;1.530458;1.518584;1.551291;1.520959 +random,262144,2097152,16,near,ref,0,32,1.478416,7,1.457625;1.478416;1.459708;1.477666;1.564958;1.481375;1.547083 +random,262144,2097152,1,none,ref,0,32,88.424125,7,86.749000;91.559250;92.226208;89.160375;88.424125;86.360209;87.833709 +random,4096,32768,64,reverse,ref,0,32,34.549417,7,35.338417;35.121542;34.662875;34.200791;34.330667;34.455125;34.549417 +clos,800,320000,16,reverse,ref,0,2,38.633208,7,37.534500;38.848417;39.507667;39.273625;38.633208;36.195500;37.918709 diff --git a/dev/perf/spf_queue/results/priority/environment.txt b/dev/perf/spf_queue/results/priority/environment.txt new file mode 100644 index 0000000..441cf03 --- /dev/null +++ b/dev/perf/spf_queue/results/priority/environment.txt @@ -0,0 +1,6 @@ +date: 2026-10-02T17:38:30Z +old: d5717cc (0.11.0) via build.sh old d5717cc; new: working tree with EdgeSelection::priority +phases: a1-old, b-new (default priority), b-new-residual-single (single-path, PreferHigherResidual, priority=Residual), b-new-capacity, b-new-headroom, a2-old; short mode, 7 samples +382f443bfde62bc56871d5335af9dc23ddc307a838b0624368217127c78fa499 src/shortest_paths.cpp +5499dbbdb66f7f63ad6c97f5718d0205c4f2f05992b60f4822a2ddcd5461f5d3 build/perf/cpu-queue +7de733ce4ec111c3414e2b262b6063a253b5cd790e4beceab893d802f0c5bf6a build/perf/cpu-queue-old diff --git a/dev/perf/spf_queue/results/priority/load.txt b/dev/perf/spf_queue/results/priority/load.txt new file mode 100644 index 0000000..6c26122 --- /dev/null +++ b/dev/perf/spf_queue/results/priority/load.txt @@ -0,0 +1,5 @@ +18:36 up 52 days, 23:12, 3 users, load averages: 13.67 8.95 6.69 +18:36 up 52 days, 23:12, 3 users, load averages: 13.05 8.90 6.69 +18:36 up 52 days, 23:12, 3 users, load averages: 12.09 8.77 6.65 +18:37 up 52 days, 23:12, 3 users, load averages: 10.86 8.61 6.62 +18:37 up 52 days, 23:12, 3 users, load averages: 10.07 8.49 6.59 diff --git a/include/netgraph/core/algorithms.hpp b/include/netgraph/core/algorithms.hpp index 0f22bfd..c4dc1cc 100644 --- a/include/netgraph/core/algorithms.hpp +++ b/include/netgraph/core/algorithms.hpp @@ -21,6 +21,11 @@ class Algorithms { return backend_->spf(gh, src, opts); } + [[nodiscard]] std::pair + spf_dag(const GraphHandle& gh, NodeId src, NodeId dst, const SpfOptions& opts) const { + return backend_->spf_dag(gh, src, dst, opts); + } + [[nodiscard]] std::pair, PredDAG> spf_to(const GraphHandle& gh, NodeId dst, const SpfToOptions& opts) const { return backend_->spf_to(gh, dst, opts); diff --git a/include/netgraph/core/backend.hpp b/include/netgraph/core/backend.hpp index 724de2b..67098b3 100644 --- a/include/netgraph/core/backend.hpp +++ b/include/netgraph/core/backend.hpp @@ -6,6 +6,7 @@ */ #pragma once +#include #include #include #include @@ -55,6 +56,22 @@ class Backend { [[nodiscard]] virtual std::pair, PredDAG> spf( const GraphHandle& gh, NodeId src, const SpfOptions& opts) = 0; + // Destination-limited search returning dst's cost and the predecessor DAG + // without the N-sized distance vector; see shortest_paths_dag() in + // shortest_paths.hpp. opts.dst is ignored (dst is the argument). The default + // implementation derives the result from spf(), so backends that do not + // specialise it stay correct. + [[nodiscard]] virtual std::pair spf_dag( + const GraphHandle& gh, NodeId src, NodeId dst, const SpfOptions& opts) { + SpfOptions o = opts; + o.dst = dst; + auto res = spf(gh, src, o); + const Cost cost = (dst >= 0 && static_cast(dst) < res.first.size()) + ? res.first[static_cast(dst)] + : std::numeric_limits::max(); + return {cost, std::move(res.second)}; + } + // Computes shortest paths from every node to dst (reverse SPF); see // shortest_paths_to() in shortest_paths.hpp. Returns distances to dst and a // forward-oriented predecessor DAG valid for placement from any node toward dst. diff --git a/include/netgraph/core/flow_graph.hpp b/include/netgraph/core/flow_graph.hpp index 8687d36..1e90fd6 100644 --- a/include/netgraph/core/flow_graph.hpp +++ b/include/netgraph/core/flow_graph.hpp @@ -61,6 +61,8 @@ class FlowGraph { // Inspect: return a copy of the flow's edges and amounts. [[nodiscard]] std::vector> get_flow_edges(const FlowIndex& idx) const; + // Whether the ledger holds this flow index (placed and not removed). + [[nodiscard]] bool has_flow(const FlowIndex& idx) const noexcept { return ledger_.find(idx) != ledger_.end(); } // Monotonic stamp identifying the exact residual state of this FlowGraph. // uid is process-unique per instance (never reused across FlowGraph diff --git a/include/netgraph/core/flow_policy.hpp b/include/netgraph/core/flow_policy.hpp index ccc8384..c968178 100644 --- a/include/netgraph/core/flow_policy.hpp +++ b/include/netgraph/core/flow_policy.hpp @@ -181,6 +181,9 @@ class FlowPolicy { [[nodiscard]] FlowRecord* create_flow(FlowGraph& fg, NodeId src, NodeId dst, FlowClass flowClass, std::optional min_flow); [[nodiscard]] FlowRecord* reoptimize_flow(FlowGraph& fg, const FlowIndex& idx, double headroom); + // Next fresh index for this policy; throws if the FlowGraph already holds it + // (another policy managing the same (src, dst, flowClass) on this FlowGraph). + [[nodiscard]] FlowIndex next_flow_index(const FlowGraph& fg, NodeId src, NodeId dst, FlowClass flowClass); // Config ExecutionContext ctx_; diff --git a/include/netgraph/core/shortest_paths.hpp b/include/netgraph/core/shortest_paths.hpp index 30bcd9d..5c86a93 100644 --- a/include/netgraph/core/shortest_paths.hpp +++ b/include/netgraph/core/shortest_paths.hpp @@ -71,6 +71,21 @@ shortest_paths(const StrictMultiDiGraph& g, NodeId src, std::span edge_mask = {}, SpfQueue queue = SpfQueue::Auto); +// Destination-limited search that returns only what placement needs: the cost +// of dst (INT64_MAX when unreachable, or when src/dst is invalid or masked) and +// the predecessor DAG. Semantics and the DAG are exactly those of +// shortest_paths(g, src, dst, ...); only the N-sized distance vector is not +// materialised (the DAG is still indexed by node id). Used by max-flow, +// FlowPolicy and KSP, which inspect no other distance. +[[nodiscard]] std::pair +shortest_paths_dag(const StrictMultiDiGraph& g, NodeId src, NodeId dst, + bool multipath, + const EdgeSelection& selection, + std::span residual = {}, + std::span node_mask = {}, + std::span edge_mask = {}, + SpfQueue queue = SpfQueue::Auto); + // Build the SPF-compatible (distances, PredDAG) pair for one concrete path given // as node/edge sequences (nodes[i] -> nodes[i+1] via edges[i]; so nodes.size() == // edges.size() + 1, or a single node with no edges). Distances are cumulative edge @@ -92,6 +107,17 @@ path_to_pred_dag(const StrictMultiDiGraph& g, [[nodiscard]] PredDAG make_path_dag(const StrictMultiDiGraph& g, std::span edges); +// Build a PredDAG for one explicit route whose hops may each use several +// parallel edges: hops[i] lists the edges of hop i, all joining the same +// (u, v) pair, and hop i's head is hop i+1's tail. Every listed edge becomes a +// parent entry of its hop's head node, in the given order, so placement splits +// across the bundle exactly as it does on an SPF multipath DAG. make_path_dag +// is the single-edge-per-hop case. Throws std::invalid_argument on an empty +// route or hop, an id out of range, an edge repeated within a hop, hop edges +// that are not parallel, non-contiguous hops, or a repeated node. +[[nodiscard]] PredDAG make_hops_dag(const StrictMultiDiGraph& g, + std::span> hops); + // Enumerate concrete paths represented by a PredDAG from src to dst. // Each path is returned as a sequence of (node_id, (edge_ids...)) pairs ending with (dst, ()). // When split_parallel_edges=false, parallel edges per hop are grouped in the tuple. diff --git a/include/netgraph/core/types.hpp b/include/netgraph/core/types.hpp index 9835920..10c5236 100644 --- a/include/netgraph/core/types.hpp +++ b/include/netgraph/core/types.hpp @@ -78,7 +78,17 @@ enum class FlowPlacement { // Tie-breaking rule when multiple equal-cost edges exist between the same (u,v) pair. enum class EdgeTieBreak { Deterministic = 1, // Use edge order from graph construction (reproducible) - PreferHigherResidual = 2 // Prefer edge with more available capacity + PreferHigherResidual = 2 // Prefer the edge with the higher priority value (EdgePriority) +}; + +// Per-edge value that ranks equal-cost alternatives: the PreferHigherResidual +// edge tie-break and the node-level bottleneck ordering (equal-cost nodes +// settle in descending order of the smallest value along their path). It does +// not affect which edges are eligible: capacity gating always uses the residual. +enum class EdgePriority { + Residual = 1, // residual capacity when a residual is supplied, otherwise capacity (default) + Capacity = 2, // static capacity, even when a residual is supplied + Headroom = 3 // residual / capacity: the fraction of the edge still free (1 without a residual) }; // Edge selection policy for shortest path algorithms. @@ -89,6 +99,8 @@ struct EdgeSelection { // require_capacity: if true, only consider edges with residual capacity > kMinCap. bool require_capacity { false }; EdgeTieBreak tie_break { EdgeTieBreak::Deterministic }; + // priority: which per-edge value tie_break and the bottleneck ordering rank by. + EdgePriority priority { EdgePriority::Residual }; }; } // namespace netgraph::core diff --git a/pyproject.toml b/pyproject.toml index 82f3e35..22da3f5 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -65,6 +65,8 @@ markers = ["slow: marks tests as slow (deselect with '-m \"not slow\"')"] [tool.ruff] line-length = 88 indent-width = 4 +# Recorded reviewer artefacts are kept verbatim. +extend-exclude = ["dev/reviews"] [tool.ruff.lint] select = ["E4", "E7", "E9", "F", "B", "I"] diff --git a/python/netgraph_core/__init__.py b/python/netgraph_core/__init__.py index 3bb8a27..f586db7 100644 --- a/python/netgraph_core/__init__.py +++ b/python/netgraph_core/__init__.py @@ -13,6 +13,7 @@ from _netgraph_core import ( Algorithms, Backend, + EdgePriority, EdgeSelection, EdgeTieBreak, FlowGraph, @@ -43,6 +44,7 @@ from ._docs import ( # noqa: I001 Algorithms as Algorithms, Backend as Backend, + EdgePriority as EdgePriority, EdgeSelection as EdgeSelection, EdgeTieBreak as EdgeTieBreak, FlowGraph as FlowGraph, @@ -67,6 +69,7 @@ "StrictMultiDiGraph", "FlowGraph", "Graph", + "EdgePriority", "EdgeSelection", "EdgeTieBreak", "PathAlg", diff --git a/python/netgraph_core/_docs.py b/python/netgraph_core/_docs.py index 984b099..9eed25a 100644 --- a/python/netgraph_core/_docs.py +++ b/python/netgraph_core/_docs.py @@ -18,7 +18,12 @@ class EdgeTieBreak: - """Tie-break rule among equal-cost parallel edges (pybind11 enum).""" + """Tie-break rule among equal-cost parallel edges (pybind11 enum). + + PREFER_HIGHER_RESIDUAL ranks edges by the value EdgeSelection.priority + selects (the residual by default); DETERMINISTIC uses the edge order from + graph construction. + """ DETERMINISTIC: ClassVar[EdgeTieBreak] PREFER_HIGHER_RESIDUAL: ClassVar[EdgeTieBreak] @@ -32,12 +37,40 @@ def name(self) -> str: ... def value(self) -> int: ... +class EdgePriority: + """Per-edge value that ranks equal-cost alternatives (pybind11 enum). + + It drives the PREFER_HIGHER_RESIDUAL edge tie-break and the node-level + ordering (equal-cost nodes settle in descending order of the smallest value + along their path). It never changes which edges are eligible: capacity + gating always uses the residual. + + RESIDUAL: residual capacity when a residual is supplied, otherwise the + static capacity. The default and the historical behaviour. + CAPACITY: the static capacity even when a residual is supplied. + HEADROOM: residual / capacity, the fraction of the edge still free + (1 for every edge when no residual is supplied, 0 for zero capacity). + """ + + RESIDUAL: ClassVar[EdgePriority] + CAPACITY: ClassVar[EdgePriority] + HEADROOM: ClassVar[EdgePriority] + __members__: ClassVar[dict[str, EdgePriority]] + + def __init__(self, value: int) -> None: ... + + class EdgeSelection: - """Edge selection policy. The constructor is keyword-only.""" + """Edge selection policy. The constructor is keyword-only. + + priority selects the per-edge value that tie_break and the bottleneck + ordering rank by (see EdgePriority); the default keeps today's behaviour. + """ multi_edge: bool require_capacity: bool tie_break: EdgeTieBreak + priority: EdgePriority def __init__( self, @@ -45,6 +78,7 @@ def __init__( multi_edge: bool = True, require_capacity: bool = False, tie_break: EdgeTieBreak = ..., + priority: EdgePriority = ..., ) -> None: ... @@ -93,6 +127,26 @@ class PredDAG: parents: np.ndarray via_edges: np.ndarray + @staticmethod + def from_hops( + graph: "StrictMultiDiGraph", hops: "Sequence[Sequence[int]]" + ) -> "PredDAG": + """Build a PredDAG for one explicit route with parallel edges per hop. + + hops[i] lists the edge ids of hop i, which must all join the same node + pair; consecutive hops must connect and the walk must be a simple + path. Every listed edge becomes a parent entry of its hop's head node, + so placement splits across the bundle exactly as on an SPF multipath + DAG (a 4 x 10 bundle carries 40, where from_edges with one edge + carries 10). from_edges is the one-edge-per-hop case. + + Raises: + ValueError: If the route or a hop is empty, an id is out of range, + an edge is repeated within a hop, a hop's edges are not + parallel, hops do not connect, or the walk revisits a node. + """ + ... + @staticmethod def from_edges(graph: "StrictMultiDiGraph", edges: "Sequence[int]") -> "PredDAG": """Build a single-path PredDAG from a contiguous edge-id sequence. @@ -381,6 +435,21 @@ def from_arrays( def num_nodes(self) -> int: ... def num_edges(self) -> int: ... + def max_cost(self) -> int: + """Largest edge cost (0 for a graph without edges). + + Shortest-path searches use a bucket queue when + ``max_cost() // cost_gcd() + 1 <= 65536`` and a binary heap otherwise. + Cost scales that exceed the limit (for example latencies in nanoseconds) + can be divided by a common factor before building the graph to stay on + the faster route; results are identical either way. + """ + ... + + def cost_gcd(self) -> int: + """Greatest common divisor of all edge costs (0 when every cost is 0).""" + ... + def capacity_view(self) -> "np.ndarray": """Copy of per-edge capacities, float64[E].""" ... diff --git a/src/cpu_backend.cpp b/src/cpu_backend.cpp index b173d7d..fd35c66 100644 --- a/src/cpu_backend.cpp +++ b/src/cpu_backend.cpp @@ -37,6 +37,13 @@ class CpuBackend final : public Backend { opts.residual, opts.node_mask, opts.edge_mask); } + std::pair spf_dag( + const GraphHandle& gh, NodeId src, NodeId dst, const SpfOptions& opts) override { + const StrictMultiDiGraph& g = *gh.graph; + return netgraph::core::shortest_paths_dag(g, src, dst, opts.multipath, opts.selection, + opts.residual, opts.node_mask, opts.edge_mask); + } + std::pair, PredDAG> spf_to( const GraphHandle& gh, NodeId dst, const SpfToOptions& opts) override { const StrictMultiDiGraph& g = *gh.graph; diff --git a/src/flow_policy.cpp b/src/flow_policy.cpp index 001da5d..b6c0d83 100644 --- a/src/flow_policy.cpp +++ b/src/flow_policy.cpp @@ -179,9 +179,9 @@ std::optional> FlowPolicy::get_path_bundle(const FlowGr spf_memo_.begin() + hit_idx + 1); } } else { - auto res = ctx_.algorithms->spf(ctx_.graph, src, opts); + auto res = ctx_.algorithms->spf_dag(ctx_.graph, src, dst, opts); dag = std::move(res.second); - dst_cost = res.first[static_cast(dst)]; + dst_cost = res.first; if (use_memo) { SpfMemoEntry entry; entry.src = src; @@ -238,12 +238,22 @@ std::optional> FlowPolicy::get_path_bundle(const FlowGr return std::make_optional(std::make_pair(std::move(dag), dst_cost)); } +FlowIndex FlowPolicy::next_flow_index(const FlowGraph& fg, NodeId src, NodeId dst, FlowClass flowClass) { + FlowIndex idx{src, dst, flowClass, next_flow_id_++}; + if (fg.has_flow(idx)) { + throw std::invalid_argument( + "FlowPolicy: flow id " + std::to_string(idx.flowId) + " for (" + std::to_string(src) + ", " + + std::to_string(dst) + ", class " + std::to_string(flowClass) + ") already exists in the FlowGraph; " + "another policy manages the same demand on this FlowGraph"); + } + return idx; +} + /* Create a new flow using the current path bundle. Returns nullptr if no admissible path is available given constraints. */ FlowRecord* FlowPolicy::create_flow(FlowGraph& fg, NodeId src, NodeId dst, FlowClass flowClass, std::optional min_flow) { - // Generate a unique flow index. - FlowIndex idx{src, dst, flowClass, next_flow_id_++}; + FlowIndex idx = next_flow_index(fg, src, dst, flowClass); // Request a path DAG from shortest paths algorithm. auto pb = get_path_bundle(fg, src, dst, min_flow); @@ -419,7 +429,7 @@ std::pair FlowPolicy::place_demand_body(FlowGraph& fg, "Source and destination nodes of static paths do not match demand."); } for (auto const& b : static_bundles_) { - FlowIndex idx{src, dst, flowClass, next_flow_id_++}; + FlowIndex idx = next_flow_index(fg, src, dst, flowClass); flows_.emplace(idx, FlowRecord(idx, src, dst, b.dag, b.cost)); } } else { @@ -437,7 +447,7 @@ std::pair FlowPolicy::place_demand_body(FlowGraph& fg, if (initial > 0) { if (auto pb = get_path_bundle(fg, src, dst, min_req)) { for (int i = 0; i < initial; ++i) { - FlowIndex idx{src, dst, flowClass, next_flow_id_++}; + FlowIndex idx = next_flow_index(fg, src, dst, flowClass); FlowRecord f(idx, src, dst, pb->first, pb->second); flows_.emplace(idx, std::move(f)); } diff --git a/src/flow_state.cpp b/src/flow_state.cpp index 3262a1b..b95caff 100644 --- a/src/flow_state.cpp +++ b/src/flow_state.cpp @@ -537,7 +537,7 @@ Flow FlowState::place_max_flow(NodeId src, NodeId dst, FlowPlacement placement, Flow total = static_cast(0.0); // With require_capacity=false the search ignores residuals, so its inputs // are identical on every pass: compute it once and reuse the result. - std::pair, PredDAG> path_result; + std::pair path_result; bool have_path_result = false; while (true) { EdgeSelection sel; @@ -545,12 +545,12 @@ Flow FlowState::place_max_flow(NodeId src, NodeId dst, FlowPlacement placement, sel.require_capacity = require_capacity; sel.tie_break = EdgeTieBreak::Deterministic; if (require_capacity || !have_path_result) { - path_result = shortest_paths(*g_, src, dst, /*multipath=*/true, sel, - require_capacity ? residual_ : std::span{}, - node_mask, edge_mask); + path_result = shortest_paths_dag(*g_, src, dst, /*multipath=*/true, sel, + require_capacity ? residual_ : std::span{}, + node_mask, edge_mask); have_path_result = true; } - const auto& [dist, dag] = path_result; + const PredDAG& dag = path_result.second; if (static_cast(dst) >= dag.parent_offsets.size()-1 || dag.parent_offsets[static_cast(dst)] == dag.parent_offsets[static_cast(dst)+1]) { break; } diff --git a/src/k_shortest_paths.cpp b/src/k_shortest_paths.cpp index ce410e6..8146a03 100644 --- a/src/k_shortest_paths.cpp +++ b/src/k_shortest_paths.cpp @@ -280,15 +280,15 @@ std::vector, PredDAG>> k_shortest_paths( em = std::span(em_buf2.get(), static_cast(g.num_edges())); } EdgeSelection sel; sel.multi_edge = true; sel.require_capacity = false; sel.tie_break = EdgeTieBreak::Deterministic; - auto [dist_spur, dag_spur] = shortest_paths(g, spur_node, dst, /*multipath=*/true, sel, std::span(), nm, em); + auto [spur_cost, dag_spur] = shortest_paths_dag(g, spur_node, dst, /*multipath=*/true, sel, std::span(), nm, em); // If no spur parents for t, skip if (static_cast(dst + 1) >= dag_spur.parent_offsets.size() || dag_spur.parent_offsets[static_cast(dst)] == dag_spur.parent_offsets[static_cast(dst + 1)]) { continue; } - // Every spur path in the DAG costs dist_spur[dst]; skip the whole family - // if the resulting candidates would exceed the cost ceiling. - if (static_cast(prefix_cost[j]) + static_cast(dist_spur[static_cast(dst)]) > max_cost) { + // Every spur path in the DAG costs spur_cost; skip the whole family if + // the resulting candidates would exceed the cost ceiling. + if (static_cast(prefix_cost[j]) + static_cast(spur_cost) > max_cost) { continue; } // At most (k - accepted) further paths can ever be accepted, so that many diff --git a/src/max_flow.cpp b/src/max_flow.cpp index 91ee426..10eef37 100644 --- a/src/max_flow.cpp +++ b/src/max_flow.cpp @@ -122,7 +122,7 @@ calc_max_flow(const StrictMultiDiGraph& g, NodeId src, NodeId dst, // require_capacity=false: Routes based on costs only, ignore capacity (IP/IGP behavior) // With require_capacity=false the search ignores residuals, so its inputs // are identical on every tier: compute it once and reuse the result. - std::pair, PredDAG> path_result; + std::pair path_result; bool have_path_result = false; while (true) { EdgeSelection sel; @@ -130,7 +130,7 @@ calc_max_flow(const StrictMultiDiGraph& g, NodeId src, NodeId dst, sel.require_capacity = require_capacity; sel.tie_break = EdgeTieBreak::Deterministic; if (require_capacity || !have_path_result) { - path_result = shortest_paths( + path_result = shortest_paths_dag( g, src, dst, /*multipath=*/true, sel, @@ -139,7 +139,7 @@ calc_max_flow(const StrictMultiDiGraph& g, NodeId src, NodeId dst, use_edge_mask ? edge_mask : std::span{}); have_path_result = true; } - const auto& [dist, dag] = path_result; + const PredDAG& dag = path_result.second; // No path if t has no parents in DAG if (static_cast(dst) >= dag.parent_offsets.size() - 1 || @@ -147,7 +147,7 @@ calc_max_flow(const StrictMultiDiGraph& g, NodeId src, NodeId dst, break; } - Cost path_cost = dist[static_cast(dst)]; + Cost path_cost = path_result.first; Flow placed = fs.place_on_dag(src, dst, dag, std::numeric_limits::infinity(), placement); if (placed < kMinFlow) break; diff --git a/src/shortest_paths.cpp b/src/shortest_paths.cpp index 16a40e5..080074e 100644 --- a/src/shortest_paths.cpp +++ b/src/shortest_paths.cpp @@ -69,38 +69,80 @@ path_to_pred_dag(const StrictMultiDiGraph& g, return {std::move(dist), std::move(dag)}; } -PredDAG make_path_dag(const StrictMultiDiGraph& g, std::span edges) { - if (edges.empty()) { - throw std::invalid_argument("make_path_dag: edges must be non-empty"); - } +namespace { + +// Shared builder for explicit routes (make_path_dag, make_hops_dag): validates +// the hop sequence and lays the entries out in PredDAG form. +PredDAG build_route_dag(const char* what, const StrictMultiDiGraph& g, + std::span> hops) { + const std::string who(what); + if (hops.empty()) throw std::invalid_argument(who + ": route must be non-empty"); + const auto N = g.num_nodes(); const auto E = static_cast(g.num_edges()); const auto esrc = g.edge_src_view(); const auto edst = g.edge_dst_view(); - std::vector nodes; - nodes.reserve(edges.size() + 1); - std::vector seen(static_cast(g.num_nodes()), 0); - for (std::size_t i = 0; i < edges.size(); ++i) { - const auto e = edges[i]; - if (e < 0 || static_cast(e) >= E) { - throw std::invalid_argument("make_path_dag: edge id out of range"); + std::vector seen(static_cast(N), 0); + PredDAG dag; + dag.parent_offsets.assign(static_cast(N) + 1, 0); + NodeId prev = -1; + for (std::size_t i = 0; i < hops.size(); ++i) { + const auto& hop = hops[i]; + if (hop.empty()) throw std::invalid_argument(who + ": hop " + std::to_string(i) + " is empty"); + NodeId hu = -1, hv = -1; + for (std::size_t k = 0; k < hop.size(); ++k) { + const auto e = hop[k]; + if (e < 0 || static_cast(e) >= E) { + throw std::invalid_argument(who + ": edge id out of range"); + } + for (std::size_t m = 0; m < k; ++m) { + if (hop[m] == e) throw std::invalid_argument(who + ": edge " + std::to_string(e) + " repeated in hop " + std::to_string(i)); + } + const auto u = esrc[static_cast(e)]; + const auto v = edst[static_cast(e)]; + if (k == 0) { hu = u; hv = v; } + else if (u != hu || v != hv) { + throw std::invalid_argument(who + ": edges of hop " + std::to_string(i) + " are not parallel (they must join the same node pair)"); + } } - const auto u = esrc[static_cast(e)]; - const auto v = edst[static_cast(e)]; if (i == 0) { - nodes.push_back(u); - seen[static_cast(u)] = 1; - } else if (u != nodes.back()) { + seen[static_cast(hu)] = 1; + } else if (hu != prev) { throw std::invalid_argument( - "make_path_dag: edges are not contiguous (edge source does not match the " - "previous edge's destination)"); + who + ": hops are not contiguous (edge source does not match the previous hop's destination)"); } - if (seen[static_cast(v)]) { - throw std::invalid_argument("make_path_dag: path revisits a node (must be a simple path)"); + if (seen[static_cast(hv)]) { + throw std::invalid_argument(who + ": route revisits a node (must be a simple path)"); } - seen[static_cast(v)] = 1; - nodes.push_back(v); + seen[static_cast(hv)] = 1; + prev = hv; + dag.parent_offsets[static_cast(hv) + 1] = static_cast(hop.size()); } - return path_to_pred_dag(g, nodes, edges).second; + for (std::size_t v = 1; v < dag.parent_offsets.size(); ++v) dag.parent_offsets[v] += dag.parent_offsets[v - 1]; + dag.parents.resize(static_cast(dag.parent_offsets.back())); + dag.via_edges.resize(static_cast(dag.parent_offsets.back())); + for (const auto& hop : hops) { + const auto hu = esrc[static_cast(hop[0])]; + const auto hv = edst[static_cast(hop[0])]; + auto base = static_cast(dag.parent_offsets[static_cast(hv)]); + for (std::size_t k = 0; k < hop.size(); ++k) { + dag.parents[base + k] = hu; + dag.via_edges[base + k] = hop[k]; + } + } + return dag; +} + +} // namespace + +PredDAG make_path_dag(const StrictMultiDiGraph& g, std::span edges) { + std::vector> hops; + hops.reserve(edges.size()); + for (auto e : edges) hops.push_back({e}); + return build_route_dag("make_path_dag", g, hops); +} + +PredDAG make_hops_dag(const StrictMultiDiGraph& g, std::span> hops) { + return build_route_dag("make_hops_dag", g, hops); } std::vector>>> @@ -413,6 +455,21 @@ struct BucketQueue { struct BucketPlan { bool eligible = false; std::size_t width = 0; Cost stride = 1; }; +// The value equal-cost alternatives are ranked by (EdgeSelection::priority). +// `rem` is the residual when one was supplied, otherwise the capacity; the +// default instantiation returns it untouched and never reads `cap`. +template +inline Cap priority_of(Cap rem, std::span cap, std::size_t e) { + if constexpr (P == EdgePriority::Residual) { + (void)cap; (void)e; return rem; + } else if constexpr (P == EdgePriority::Capacity) { + return cap[e]; + } else { + const Cap c = cap[e]; + return c > static_cast(0) ? rem / c : static_cast(0); + } +} + BucketPlan plan_buckets(const StrictMultiDiGraph& g) { BucketPlan p; p.stride = g.cost_gcd() > 0 ? g.cost_gcd() : 1; @@ -484,6 +541,19 @@ struct ForwardWorkspace { HeapQueue heap; BucketQueue bucket; + // Predecessor lists: pred_head/pred_tail index into the ent_* arrays, whose + // entries are (parent, via_edge) pairs appended in discovery order; pred_count + // is the live length, so the result is sized without walking the lists twice. + void clear_preds(std::size_t v) { pred_head[v] = -1; pred_tail[v] = -1; pred_count[v] = 0; } + void append_pred(std::size_t v, NodeId p, EdgeId e) { + const auto idx = static_cast(ent_parent.size()); + ent_parent.push_back(p); ent_edge.push_back(e); ent_next.push_back(-1); + if (pred_head[v] < 0) pred_head[v] = idx; + else ent_next[static_cast(pred_tail[v])] = idx; + pred_tail[v] = idx; + ++pred_count[v]; + } + void acquire(std::size_t n) { const bool shrank = ensure_sized(dist, n, kInf); ensure_sized(min_res, n, static_cast(0)); @@ -516,10 +586,8 @@ struct ForwardWorkspace { } }; -// Reverse search scratch; same invariant. Successor lists per tail node u are -// a flat intrusive list of (v, e) entries (succ_head/succ_tail into ent_*). -// has_in_entry[v]: some DAG entry u -> v exists; a fanout edge may not leave -// such a node. +// Reverse search scratch; same invariant. has_in_entry[v]: some DAG entry +// u -> v exists; a fanout edge may not leave such a node. struct ReverseWorkspace { std::vector dist; std::vector min_res; @@ -534,6 +602,16 @@ struct ReverseWorkspace { HeapQueue heap; BucketQueue bucket; + // Successor lists per tail node u: (v, e) entries in the ent_* arrays. + void clear_succs(std::size_t u) { succ_head[u] = -1; succ_tail[u] = -1; } + void append_succ(std::size_t u, NodeId v, EdgeId e) { + const auto idx = static_cast(ent_node.size()); + ent_node.push_back(v); ent_edge.push_back(e); ent_next.push_back(-1); + if (succ_head[u] < 0) succ_head[u] = idx; + else ent_next[static_cast(succ_tail[u])] = idx; + succ_tail[u] = idx; + } + void acquire(std::size_t n) { const bool shrank = ensure_sized(dist, n, kInf); ensure_sized(min_res, n, static_cast(0)); @@ -581,7 +659,7 @@ struct WorkspaceLease { // The search loop, shared by both queues. Precondition: src is allowed and // initialised in ws (dist 0, min_res max, touched). -template +template void run_forward(Queue& pq, ForwardWorkspace& ws, const StrictMultiDiGraph& g, NodeId src, std::optional dst, bool multipath, const EdgeSelection& selection, std::span residual, std::span node_mask, @@ -597,33 +675,13 @@ void run_forward(Queue& pq, ForwardWorkspace& ws, const StrictMultiDiGraph& g, N // bases around every store (the workspace is a thread-local object). Cost* const dist = ws.dist.data(); Cap* const min_residual_to_node = ws.min_res.data(); - std::int32_t* const pred_head = ws.pred_head.data(); - std::int32_t* const pred_tail = ws.pred_tail.data(); - std::int32_t* const pred_count = ws.pred_count.data(); char* const settled = ws.settled.data(); - auto& ent_parent = ws.ent_parent; - auto& ent_edge = ws.ent_edge; - auto& ent_next = ws.ent_next; const bool use_node_mask = (node_mask.size() == static_cast(N)); const bool use_edge_mask = (edge_mask.size() == static_cast(g.num_edges())); const bool has_residual = (residual.size() == static_cast(g.num_edges())); const bool require_cap = selection.require_capacity || has_residual; - // Predecessor storage as a flat intrusive list: pred_head/pred_tail index into - // the ent_* arrays, whose entries are (parent, via_edge) pairs appended in - // discovery order. pred_count tracks the live length of each list so the - // result can be sized without walking the lists twice. - auto pred_clear = [&](std::size_t v){ pred_head[v] = -1; pred_tail[v] = -1; pred_count[v] = 0; }; - auto pred_append = [&](std::size_t v, NodeId p, EdgeId e){ - const auto idx = static_cast(ent_parent.size()); - ent_parent.push_back(p); ent_edge.push_back(e); ent_next.push_back(-1); - if (pred_head[v] < 0) { pred_head[v] = idx; } - else { ent_next[static_cast(pred_tail[v])] = idx; } - pred_tail[v] = idx; - ++pred_count[v]; - }; - // Queue items are (cost, -residual, node): cost (minimize) -> residual // (maximize) -> node (deterministic). This naturally distributes flows across // equal-cost paths based on available capacity. @@ -679,6 +737,7 @@ void run_forward(Queue& pq, ForwardWorkspace& ws, const StrictMultiDiGraph& g, N if (use_edge_mask && !edge_mask[e]) continue; const Cap rem = has_residual ? residual[e] : cap[e]; if (require_cap && rem < kMinCap) continue; + const Cap pri = priority_of

(rem, cap, e); const Cost ecost = static_cast(cost[e]); if (ecost < min_edge_cost) { min_edge_cost = ecost; @@ -687,7 +746,7 @@ void run_forward(Queue& pq, ForwardWorkspace& ws, const StrictMultiDiGraph& g, N selected_edges.push_back(static_cast(aei[j])); } else { best_edge_id = static_cast(e); - best_rem_for_min_cost = static_cast(rem); + best_rem_for_min_cost = static_cast(pri); } } else if (ecost == min_edge_cost) { if (selection.multi_edge) { @@ -695,10 +754,10 @@ void run_forward(Queue& pq, ForwardWorkspace& ws, const StrictMultiDiGraph& g, N } else { // tie-break among equal-cost edges if (selection.tie_break == EdgeTieBreak::PreferHigherResidual) { - if (static_cast(rem) > best_rem_for_min_cost + kEpsilon) { + if (static_cast(pri) > best_rem_for_min_cost + kEpsilon) { best_edge_id = static_cast(e); - best_rem_for_min_cost = static_cast(rem); - } else if (std::abs(static_cast(rem) - best_rem_for_min_cost) <= kEpsilon) { + best_rem_for_min_cost = static_cast(pri); + } else if (std::abs(static_cast(pri) - best_rem_for_min_cost) <= kEpsilon) { // further tie-break deterministically by smaller edge id if (best_edge_id < 0 || static_cast(e) < best_edge_id) { best_edge_id = static_cast(e); @@ -720,12 +779,14 @@ void run_forward(Queue& pq, ForwardWorkspace& ws, const StrictMultiDiGraph& g, N if (!selected_edges.empty()) { Cost new_cost = static_cast(d_u + min_edge_cost); auto v_idx = static_cast(v); - // Bottleneck capacity along the path to v through u (node-level tie-breaking). + // Bottleneck along the path to v through u (node-level tie-breaking), in + // the selected priority value. Cap max_edge_residual = static_cast(0); for (auto edge_id : selected_edges) { - const Cap rem = has_residual ? residual[static_cast(edge_id)] - : cap[static_cast(edge_id)]; - if (rem > max_edge_residual) max_edge_residual = rem; + const auto idx = static_cast(edge_id); + const Cap rem = has_residual ? residual[idx] : cap[idx]; + const Cap pri = priority_of

(rem, cap, idx); + if (pri > max_edge_residual) max_edge_residual = pri; } Cap path_residual = std::min(min_residual_to_node[static_cast(u)], max_edge_residual); // Relaxation: shorter path, or equal-cost path with better capacity (single-path mode). @@ -735,15 +796,15 @@ void run_forward(Queue& pq, ForwardWorkspace& ws, const StrictMultiDiGraph& g, N if (dist[v_idx] == kInf) ws.touched.push_back(v); dist[v_idx] = new_cost; min_residual_to_node[v_idx] = path_residual; - pred_clear(v_idx); - for (auto sel_e : selected_edges) pred_append(v_idx, u, sel_e); + ws.clear_preds(v_idx); + for (auto sel_e : selected_edges) ws.append_pred(v_idx, u, sel_e); pq.push(new_cost, -path_residual, v); } // Multipath: equal-cost alternative (only while v is unsettled; see above). // min_residual_to_node is not updated here: all equal-cost paths are kept, // none is chosen by residual. else if (multipath && new_cost == dist[v_idx] && !settled[v_idx]) { - for (auto sel_e : selected_edges) pred_append(v_idx, u, sel_e); + for (auto sel_e : selected_edges) ws.append_pred(v_idx, u, sel_e); } } i = j; @@ -752,18 +813,29 @@ void run_forward(Queue& pq, ForwardWorkspace& ws, const StrictMultiDiGraph& g, N } } -// Materialise (distances, PredDAG) from the forward workspace. Per-node -// predecessor lists are independent, so visiting only touched nodes yields the -// same arrays as visiting every node. -std::pair, PredDAG> finish_forward(ForwardWorkspace& ws, std::int32_t N) { +// Runs the forward search on the chosen queue for one priority. +template +void forward_with(bool bucket, ForwardWorkspace& ws, const StrictMultiDiGraph& g, NodeId src, + std::optional dst, bool multipath, const EdgeSelection& selection, + std::span residual, std::span node_mask, + std::span edge_mask, const BucketPlan& plan) { + if (bucket) run_forward(ws.bucket, ws, g, src, dst, multipath, selection, residual, node_mask, edge_mask, plan); + else run_forward(ws.heap, ws, g, src, dst, multipath, selection, residual, node_mask, edge_mask, plan); +} + +// Materialise the distance vector from the forward workspace. +std::vector materialise_dist(const ForwardWorkspace& ws, std::int32_t N) { + if (!sparse_reset(ws)) return ws.dist; + std::vector dist(static_cast(N), kInf); + for (auto v : ws.touched) dist[static_cast(v)] = ws.dist[static_cast(v)]; + return dist; +} + +// Materialise the PredDAG from the forward workspace. Per-node predecessor +// lists are independent, so visiting only touched nodes yields the same arrays +// as visiting every node. +PredDAG materialise_dag(const ForwardWorkspace& ws, std::int32_t N) { const bool sparse = sparse_reset(ws); - std::vector dist; - if (sparse) { - dist.assign(static_cast(N), kInf); - for (auto v : ws.touched) dist[static_cast(v)] = ws.dist[static_cast(v)]; - } else { - dist = ws.dist; - } PredDAG dag; dag.parent_offsets.assign(static_cast(N+1), 0); if (sparse) { @@ -786,7 +858,40 @@ std::pair, PredDAG> finish_forward(ForwardWorkspace& ws, std:: }; if (sparse) { for (auto v : ws.touched) fill(v); } else { for (std::int32_t v = 0; v < N; ++v) fill(v); } - return {std::move(dist), std::move(dag)}; + return dag; +} + +PredDAG empty_dag(std::int32_t N) { + PredDAG dag; + dag.parent_offsets.assign(static_cast(N + 1), 0); + return dag; +} + +bool source_allowed(const StrictMultiDiGraph& g, NodeId src, std::span node_mask) { + const auto N = g.num_nodes(); + const bool use_node_mask = (node_mask.size() == static_cast(N)); + return src >= 0 && src < N && (!use_node_mask || node_mask[static_cast(src)]); +} + +// Runs the forward search into the acquired workspace. Precondition: the +// source is allowed (source_allowed) and the lease is held by the caller. +void search_forward(ForwardWorkspace& ws, const StrictMultiDiGraph& g, NodeId src, + std::optional dst, bool multipath, const EdgeSelection& selection, + std::span residual, std::span node_mask, + std::span edge_mask, SpfQueue queue) { + ws.touched.push_back(src); // before the writes: see WorkspaceLease + ws.dist[static_cast(src)] = static_cast(0); + ws.min_res[static_cast(src)] = std::numeric_limits::max(); + BucketPlan plan; + const bool bucket = use_bucket_queue(g, queue, plan); + switch (selection.priority) { + case EdgePriority::Capacity: + forward_with(bucket, ws, g, src, dst, multipath, selection, residual, node_mask, edge_mask, plan); break; + case EdgePriority::Headroom: + forward_with(bucket, ws, g, src, dst, multipath, selection, residual, node_mask, edge_mask, plan); break; + default: + forward_with(bucket, ws, g, src, dst, multipath, selection, residual, node_mask, edge_mask, plan); break; + } } std::pair, PredDAG> @@ -800,27 +905,47 @@ shortest_paths_core(const StrictMultiDiGraph& g, NodeId src, SpfQueue queue) { NGRAPH_PROFILE_SCOPE("shortest_paths_core"); const auto N = g.num_nodes(); - const bool use_node_mask = (node_mask.size() == static_cast(N)); - const bool src_allowed = (src >= 0 && src < N && (!use_node_mask || node_mask[static_cast(src)])); - if (!src_allowed) { + if (!source_allowed(g, src, node_mask)) { // Source is out of range or masked out: no traversal, return empty DAG. - PredDAG dag; - dag.parent_offsets.assign(static_cast(N + 1), 0); - return {std::vector(static_cast(N), kInf), std::move(dag)}; + return {std::vector(static_cast(N), kInf), empty_dag(N)}; } ForwardWorkspace& ws = tls_forward; ws.acquire(static_cast(N)); WorkspaceLease lease{ws}; - ws.touched.push_back(src); // before the writes: see WorkspaceLease - ws.dist[static_cast(src)] = static_cast(0); - ws.min_res[static_cast(src)] = std::numeric_limits::max(); - BucketPlan plan; - if (use_bucket_queue(g, queue, plan)) { - run_forward(ws.bucket, ws, g, src, dst, multipath, selection, residual, node_mask, edge_mask, plan); - } else { - run_forward(ws.heap, ws, g, src, dst, multipath, selection, residual, node_mask, edge_mask, plan); + search_forward(ws, g, src, dst, multipath, selection, residual, node_mask, edge_mask, queue); + return {materialise_dist(ws, N), materialise_dag(ws, N)}; +} + +std::pair +shortest_paths_dag_core(const StrictMultiDiGraph& g, NodeId src, NodeId dst, + bool multipath, + const EdgeSelection& selection, + std::span residual, + std::span node_mask, + std::span edge_mask, + SpfQueue queue) { + NGRAPH_PROFILE_SCOPE("shortest_paths_core"); + const auto N = g.num_nodes(); + if (!source_allowed(g, src, node_mask)) return {kInf, empty_dag(N)}; + ForwardWorkspace& ws = tls_forward; + ws.acquire(static_cast(N)); + WorkspaceLease lease{ws}; + search_forward(ws, g, src, dst, multipath, selection, residual, node_mask, edge_mask, queue); + const Cost cost = (dst >= 0 && dst < N) ? ws.dist[static_cast(dst)] : kInf; + return {cost, materialise_dag(ws, N)}; +} + +void validate_spans(const char* what, const StrictMultiDiGraph& g, std::span residual, + std::span node_mask, std::span edge_mask) { + if (!node_mask.empty() && node_mask.size() != static_cast(g.num_nodes())) { + throw std::invalid_argument(std::string(what) + ": node_mask length mismatch"); + } + if (!edge_mask.empty() && edge_mask.size() != static_cast(g.num_edges())) { + throw std::invalid_argument(std::string(what) + ": edge_mask length mismatch"); + } + if (!residual.empty() && residual.size() != static_cast(g.num_edges())) { + throw std::invalid_argument(std::string(what) + ": residual length mismatch"); } - return finish_forward(ws, N); } } // namespace @@ -834,18 +959,22 @@ shortest_paths(const StrictMultiDiGraph& g, NodeId src, std::span node_mask, std::span edge_mask, SpfQueue queue) { - if (!node_mask.empty() && node_mask.size() != static_cast(g.num_nodes())) { - throw std::invalid_argument("shortest_paths: node_mask length mismatch"); - } - if (!edge_mask.empty() && edge_mask.size() != static_cast(g.num_edges())) { - throw std::invalid_argument("shortest_paths: edge_mask length mismatch"); - } - if (!residual.empty() && residual.size() != static_cast(g.num_edges())) { - throw std::invalid_argument("shortest_paths: residual length mismatch"); - } + validate_spans("shortest_paths", g, residual, node_mask, edge_mask); return shortest_paths_core(g, src, dst, multipath, selection, residual, node_mask, edge_mask, queue); } +std::pair +shortest_paths_dag(const StrictMultiDiGraph& g, NodeId src, NodeId dst, + bool multipath, + const EdgeSelection& selection, + std::span residual, + std::span node_mask, + std::span edge_mask, + SpfQueue queue) { + validate_spans("shortest_paths_dag", g, residual, node_mask, edge_mask); + return shortest_paths_dag_core(g, src, dst, multipath, selection, residual, node_mask, edge_mask, queue); +} + } // namespace netgraph::core /* @@ -863,7 +992,7 @@ namespace netgraph::core { namespace { -template +template void run_reverse(Queue& pq, ReverseWorkspace& ws, const StrictMultiDiGraph& g, NodeId target, bool multipath, const EdgeSelection& selection, std::span residual, std::span node_mask, @@ -877,28 +1006,14 @@ void run_reverse(Queue& pq, ReverseWorkspace& ws, const StrictMultiDiGraph& g, N const auto cap = g.capacity_view(); Cost* const dist = ws.dist.data(); Cap* const min_residual_to_dst = ws.min_res.data(); - std::int32_t* const succ_head = ws.succ_head.data(); - std::int32_t* const succ_tail = ws.succ_tail.data(); char* const settled = ws.settled.data(); char* const has_in_entry = ws.has_in_entry.data(); - auto& ent_node = ws.ent_node; - auto& ent_edge = ws.ent_edge; - auto& ent_next = ws.ent_next; const bool use_node_mask = (node_mask.size() == static_cast(N)); const bool use_edge_mask = (edge_mask.size() == static_cast(E)); const bool has_residual = (residual.size() == static_cast(E)); const bool require_cap = selection.require_capacity || has_residual; - auto succ_clear = [&](std::size_t u){ succ_head[u] = -1; succ_tail[u] = -1; }; - auto succ_append = [&](std::size_t u, NodeId v, EdgeId e){ - const auto idx = static_cast(ent_node.size()); - ent_node.push_back(v); ent_edge.push_back(e); ent_next.push_back(-1); - if (succ_head[u] < 0) { succ_head[u] = idx; } - else { ent_next[static_cast(succ_tail[u])] = idx; } - succ_tail[u] = idx; - }; - pq.begin(plan.width, plan.stride); pq.push(static_cast(0), -std::numeric_limits::max(), target); std::vector& selected_edges = ws.sel_buf; @@ -930,6 +1045,7 @@ void run_reverse(Queue& pq, ReverseWorkspace& ws, const StrictMultiDiGraph& g, N if (use_edge_mask && !edge_mask[e]) continue; const Cap rem = has_residual ? residual[e] : cap[e]; if (require_cap && rem < kMinCap) continue; + const Cap pri = priority_of

(rem, cap, e); const Cost ecost = static_cast(cost[e]); if (ecost < min_edge_cost) { min_edge_cost = ecost; @@ -938,16 +1054,16 @@ void run_reverse(Queue& pq, ReverseWorkspace& ws, const StrictMultiDiGraph& g, N selected_edges.push_back(static_cast(iaei[j])); } else { best_edge_id = static_cast(e); - best_rem_for_min_cost = static_cast(rem); + best_rem_for_min_cost = static_cast(pri); } } else if (ecost == min_edge_cost) { if (selection.multi_edge) { selected_edges.push_back(static_cast(iaei[j])); } else if (selection.tie_break == EdgeTieBreak::PreferHigherResidual) { - if (static_cast(rem) > best_rem_for_min_cost + kEpsilon) { + if (static_cast(pri) > best_rem_for_min_cost + kEpsilon) { best_edge_id = static_cast(e); - best_rem_for_min_cost = static_cast(rem); - } else if (std::abs(static_cast(rem) - best_rem_for_min_cost) <= kEpsilon) { + best_rem_for_min_cost = static_cast(pri); + } else if (std::abs(static_cast(pri) - best_rem_for_min_cost) <= kEpsilon) { if (best_edge_id < 0 || static_cast(e) < best_edge_id) best_edge_id = static_cast(e); } } else { @@ -964,9 +1080,10 @@ void run_reverse(Queue& pq, ReverseWorkspace& ws, const StrictMultiDiGraph& g, N const auto u_idx = static_cast(u); Cap max_edge_residual = static_cast(0); for (auto edge_id : selected_edges) { - const Cap rem = has_residual ? residual[static_cast(edge_id)] - : cap[static_cast(edge_id)]; - if (rem > max_edge_residual) max_edge_residual = rem; + const auto idx = static_cast(edge_id); + const Cap rem = has_residual ? residual[idx] : cap[idx]; + const Cap pri = priority_of

(rem, cap, idx); + if (pri > max_edge_residual) max_edge_residual = pri; } const Cap path_residual = std::min(min_residual_to_dst[static_cast(v)], max_edge_residual); if (new_cost < dist[u_idx] || @@ -975,12 +1092,12 @@ void run_reverse(Queue& pq, ReverseWorkspace& ws, const StrictMultiDiGraph& g, N if (dist[u_idx] == kInf) ws.touched.push_back(u); dist[u_idx] = new_cost; min_residual_to_dst[u_idx] = path_residual; - succ_clear(u_idx); - for (auto sel_e : selected_edges) succ_append(u_idx, v, sel_e); + ws.clear_succs(u_idx); + for (auto sel_e : selected_edges) ws.append_succ(u_idx, v, sel_e); has_in_entry[static_cast(v)] = 1; pq.push(new_cost, -path_residual, u); } else if (multipath && new_cost == dist[u_idx] && !settled[u_idx]) { - for (auto sel_e : selected_edges) succ_append(u_idx, v, sel_e); + for (auto sel_e : selected_edges) ws.append_succ(u_idx, v, sel_e); has_in_entry[static_cast(v)] = 1; } } @@ -989,6 +1106,16 @@ void run_reverse(Queue& pq, ReverseWorkspace& ws, const StrictMultiDiGraph& g, N } } +// Runs the reverse search on the chosen queue for one priority. +template +void reverse_with(bool bucket, ReverseWorkspace& ws, const StrictMultiDiGraph& g, NodeId target, + bool multipath, const EdgeSelection& selection, + std::span residual, std::span node_mask, + std::span edge_mask, const BucketPlan& plan) { + if (bucket) run_reverse(ws.bucket, ws, g, target, multipath, selection, residual, node_mask, edge_mask, plan); + else run_reverse(ws.heap, ws, g, target, multipath, selection, residual, node_mask, edge_mask, plan); +} + std::pair, PredDAG> shortest_paths_to_core(const StrictMultiDiGraph& g, NodeId target, bool multipath, @@ -1021,21 +1148,17 @@ shortest_paths_to_core(const StrictMultiDiGraph& g, NodeId target, ws.dist[static_cast(target)] = static_cast(0); ws.min_res[static_cast(target)] = std::numeric_limits::max(); BucketPlan plan; - if (use_bucket_queue(g, queue, plan)) { - run_reverse(ws.bucket, ws, g, target, multipath, selection, residual, node_mask, edge_mask, plan); - } else { - run_reverse(ws.heap, ws, g, target, multipath, selection, residual, node_mask, edge_mask, plan); + const bool bucket = use_bucket_queue(g, queue, plan); + switch (selection.priority) { + case EdgePriority::Capacity: + reverse_with(bucket, ws, g, target, multipath, selection, residual, node_mask, edge_mask, plan); break; + case EdgePriority::Headroom: + reverse_with(bucket, ws, g, target, multipath, selection, residual, node_mask, edge_mask, plan); break; + default: + reverse_with(bucket, ws, g, target, multipath, selection, residual, node_mask, edge_mask, plan); break; } } - auto succ_append = [&](std::size_t u, NodeId v, EdgeId e){ - const auto idx = static_cast(ws.ent_node.size()); - ws.ent_node.push_back(v); ws.ent_edge.push_back(e); ws.ent_next.push_back(-1); - if (ws.succ_head[u] < 0) { ws.succ_head[u] = idx; } - else { ws.ent_next[static_cast(ws.succ_tail[u])] = idx; } - ws.succ_tail[u] = idx; - }; - // Forced fan-out entries (see the header). for (auto e_raw : fanout_edges) { if (e_raw < 0 || e_raw >= E) { @@ -1060,7 +1183,7 @@ shortest_paths_to_core(const StrictMultiDiGraph& g, NodeId target, } if (present) continue; if (ws.dist[static_cast(u)] == kInf) ws.touched.push_back(u); - succ_append(static_cast(u), v, e_raw); + ws.append_succ(static_cast(u), v, e_raw); if (ws.dist[static_cast(u)] == kInf) { ws.dist[static_cast(u)] = static_cast(cost[e]) + ws.dist[static_cast(v)]; } @@ -1115,15 +1238,7 @@ shortest_paths_to(const StrictMultiDiGraph& g, NodeId dst, std::span edge_mask, std::span fanout_edges, SpfQueue queue) { - if (!node_mask.empty() && node_mask.size() != static_cast(g.num_nodes())) { - throw std::invalid_argument("shortest_paths_to: node_mask length mismatch"); - } - if (!edge_mask.empty() && edge_mask.size() != static_cast(g.num_edges())) { - throw std::invalid_argument("shortest_paths_to: edge_mask length mismatch"); - } - if (!residual.empty() && residual.size() != static_cast(g.num_edges())) { - throw std::invalid_argument("shortest_paths_to: residual length mismatch"); - } + validate_spans("shortest_paths_to", g, residual, node_mask, edge_mask); return shortest_paths_to_core(g, dst, multipath, selection, residual, node_mask, edge_mask, fanout_edges, queue); } diff --git a/tests/cpp/flow_graph_tests.cpp b/tests/cpp/flow_graph_tests.cpp index 687492d..bac6bf7 100644 --- a/tests/cpp/flow_graph_tests.cpp +++ b/tests/cpp/flow_graph_tests.cpp @@ -1,4 +1,5 @@ #include +#include #include "netgraph/core/flow_graph.hpp" #include "netgraph/core/shortest_paths.hpp" #include "netgraph/core/strict_multidigraph.hpp" @@ -310,3 +311,22 @@ TEST(FlowGraphStamp, EqualVersionDivergentCopiesCompareUnequal) { EXPECT_FALSE(a.state_stamp() == b.state_stamp()); } + +TEST(FlowGraph, HopBundleCarriesEveryParallelEdge) { + // Four parallel 10-unit links 0 -> 1, then 1 -> 2 (100). A route pinned to one + // edge carries 10; the same hop pinned as a bundle carries 40. + std::vector src = {0, 0, 0, 0, 1}, dst = {1, 1, 1, 1, 2}; + std::vector cap = {10, 10, 10, 10, 100}; + std::vector cost = {1, 1, 1, 1, 1}; + auto g = StrictMultiDiGraph::from_arrays(3, src, dst, cap, cost); + auto one = make_path_dag(g, std::array{0, 4}); + auto bundle = make_hops_dag(g, std::vector>{{0, 1, 2, 3}, {4}}); + FlowGraph fg(g); + const FlowIndex a{0, 2, 0, 1}, b{0, 2, 0, 2}; + EXPECT_DOUBLE_EQ(fg.place(a, 0, 2, one, 100.0, FlowPlacement::Proportional), 10.0); + fg.remove(a); + EXPECT_DOUBLE_EQ(fg.place(b, 0, 2, bundle, 100.0, FlowPlacement::Proportional), 40.0); + const auto flows = fg.edge_flow_view(); + for (std::size_t e = 0; e < 4; ++e) EXPECT_DOUBLE_EQ(flows[e], 10.0); + EXPECT_DOUBLE_EQ(flows[4], 40.0); +} diff --git a/tests/cpp/shortest_paths_tests.cpp b/tests/cpp/shortest_paths_tests.cpp index 0483b8b..2ba2255 100644 --- a/tests/cpp/shortest_paths_tests.cpp +++ b/tests/cpp/shortest_paths_tests.cpp @@ -1,5 +1,6 @@ #include #include +#include #include #include #include "netgraph/core/constants.hpp" @@ -529,11 +530,13 @@ const std::vector kDiffSpecs = { template void for_each_option(const DiffGraph& d, Fn&& fn) { for (int mp = 0; mp < 2; ++mp) for (int me = 0; me < 2; ++me) for (int tb = 0; tb < 2; ++tb) - for (int rc = 0; rc < 2; ++rc) for (int ur = 0; ur < 2; ++ur) for (int um = 0; um < 2; ++um) { + for (int rc = 0; rc < 2; ++rc) for (int ur = 0; ur < 2; ++ur) for (int um = 0; um < 2; ++um) + for (EdgePriority pri : {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}) { EdgeSelection sel; sel.multi_edge = me != 0; sel.require_capacity = rc != 0; sel.tie_break = tb ? EdgeTieBreak::PreferHigherResidual : EdgeTieBreak::Deterministic; + sel.priority = pri; auto res = ur ? std::span(d.residual) : std::span{}; auto nm = um ? d.nm() : std::span{}; auto em = um ? d.em() : std::span{}; @@ -568,11 +571,21 @@ TEST(ShortestPaths, QueueDifferential_Forward) { // Auto must equal one of the two explicit routes, and both equal each other. auto automatic = shortest_paths(d.g, s, dst, mp, sel, res, nm, em); ASSERT_TRUE(same_result(expected, automatic)); + // The DAG-only variant is the same search minus the distance vector. + if (dst) { // *dst may be -1 (no reachable node): then the cost is INT64_MAX + const Cost want = (*dst >= 0 && *dst < n) ? expected.first[static_cast(*dst)] + : std::numeric_limits::max(); + for (SpfQueue q : {SpfQueue::Heap, SpfQueue::Bucket}) { + auto [cost, dag] = shortest_paths_dag(d.g, s, *dst, mp, sel, res, nm, em, q); + ASSERT_EQ(cost, want); + ASSERT_TRUE(same_result(expected, SpfResult{expected.first, dag})); + } + } } }); } } - EXPECT_GT(checked, 20000u); + EXPECT_GT(checked, 60000u); } TEST(ShortestPaths, QueueDifferential_Reverse) { @@ -598,7 +611,7 @@ TEST(ShortestPaths, QueueDifferential_Reverse) { }); } } - EXPECT_GT(checked, 5000u); + EXPECT_GT(checked, 15000u); } TEST(ShortestPaths, QueueDifferential_ComparisonHasTeeth) { @@ -699,3 +712,126 @@ TEST(ShortestPaths, WorkspaceReuseAcrossGraphSizesAndEmptyGraphs) { EXPECT_TRUE(same_result(s1, s3)); } } + +// --------------------------------------------------------------------------- +// EdgeSelection::priority: which per-edge value ranks equal-cost alternatives. +// --------------------------------------------------------------------------- +TEST(ShortestPaths, EdgePriorityRanksParallelEdges) { + // Two parallel equal-cost edges 0 -> 1: capacities 10 and 5, residuals 2 and 4. + std::vector src = {0, 0}, dst = {1, 1}; + std::vector cap = {10.0, 5.0}; + std::vector cost = {1, 1}; + auto g = StrictMultiDiGraph::from_arrays(2, src, dst, cap, cost); + std::vector residual = {2.0, 4.0}; + // Edge ids after construction: both cost 1, same (src,dst): input order kept, so id 0 has cap 10. + ASSERT_DOUBLE_EQ(g.capacity_view()[0], 10.0); + auto pick = [&](EdgePriority pri, bool with_residual) { + EdgeSelection sel; sel.multi_edge = false; sel.tie_break = EdgeTieBreak::PreferHigherResidual; sel.priority = pri; + auto [d, dag] = shortest_paths(g, 0, std::nullopt, true, sel, + with_residual ? std::span(residual) : std::span{}, {}, {}); + EXPECT_EQ(dag.parent_offsets[2] - dag.parent_offsets[1], 1); + return dag.via_edges[static_cast(dag.parent_offsets[1])]; + }; + // With a residual: Residual prefers residual 4 (edge 1); Capacity prefers cap 10 (edge 0); + // Headroom prefers 4/5 = 0.8 over 2/10 = 0.2 (edge 1). + EXPECT_EQ(pick(EdgePriority::Residual, true), 1); + EXPECT_EQ(pick(EdgePriority::Capacity, true), 0); + EXPECT_EQ(pick(EdgePriority::Headroom, true), 1); + // Without a residual every priority falls back to the capacity (headroom is 1 + // for both, so the deterministic smaller id wins). + EXPECT_EQ(pick(EdgePriority::Residual, false), 0); + EXPECT_EQ(pick(EdgePriority::Capacity, false), 0); + EXPECT_EQ(pick(EdgePriority::Headroom, false), 0); +} + +TEST(ShortestPaths, EdgePriorityRanksEqualCostPaths) { + // 0 -> 1 -> 3 and 0 -> 2 -> 3, both cost 2. Path via 1: capacities 100/100 with + // residuals 10/10 (headroom 0.1). Path via 2: capacities 20/20 with residuals + // 8/8 (headroom 0.4). Single-path mode keeps the path with the better bottleneck. + std::vector src = {0, 1, 0, 2}, dst = {1, 3, 2, 3}; + std::vector cap = {100.0, 100.0, 20.0, 20.0}; + std::vector cost = {1, 1, 1, 1}; + auto g = StrictMultiDiGraph::from_arrays(4, src, dst, cap, cost); + std::vector residual(4); + const auto esrc = g.edge_src_view(), edst = g.edge_dst_view(); + for (std::size_t e = 0; e < 4; ++e) residual[e] = (esrc[e] == 1 || edst[e] == 1) ? 10.0 : 8.0; + auto parent_of_dst = [&](EdgePriority pri) { + EdgeSelection sel; sel.multi_edge = true; sel.priority = pri; + auto [d, dag] = shortest_paths(g, 0, std::nullopt, /*multipath=*/false, sel, residual, {}, {}); + EXPECT_EQ(d[3], 2); + EXPECT_EQ(dag.parent_offsets[4] - dag.parent_offsets[3], 1); + return dag.parents[static_cast(dag.parent_offsets[3])]; + }; + EXPECT_EQ(parent_of_dst(EdgePriority::Residual), 1); // bottleneck residual 10 > 8 + EXPECT_EQ(parent_of_dst(EdgePriority::Capacity), 1); // bottleneck capacity 100 > 20 + EXPECT_EQ(parent_of_dst(EdgePriority::Headroom), 2); // headroom 0.4 > 0.1 + // Both queue routes agree for every priority. + for (EdgePriority pri : {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}) { + EdgeSelection sel; sel.multi_edge = false; sel.tie_break = EdgeTieBreak::PreferHigherResidual; sel.priority = pri; + auto a = shortest_paths(g, 0, std::nullopt, false, sel, residual, {}, {}, SpfQueue::Heap); + auto b = shortest_paths(g, 0, std::nullopt, false, sel, residual, {}, {}, SpfQueue::Bucket); + EXPECT_TRUE(same_result(a, b)); + auto ra = shortest_paths_to(g, 3, false, sel, residual, {}, {}, {}, SpfQueue::Heap); + auto rb = shortest_paths_to(g, 3, false, sel, residual, {}, {}, {}, SpfQueue::Bucket); + EXPECT_TRUE(same_result(ra, rb)); + } +} + +TEST(ShortestPaths, DagVariantHandlesInvalidEndpoints) { + auto d = make_diff_graph(kDiffSpecs[0]); + const int n = d.g.num_nodes(); + EdgeSelection sel; + // Unreachable or out-of-range destinations report INT64_MAX; the DAG is the + // full-search DAG (nothing stops the search early). + auto [c_out, dag_out] = shortest_paths_dag(d.g, 0, NodeId(n + 5), true, sel, {}, {}, {}); + EXPECT_EQ(c_out, std::numeric_limits::max()); + auto full = shortest_paths(d.g, 0, std::nullopt, true, sel, {}, {}, {}); + EXPECT_TRUE(same_result(full, SpfResult{full.first, dag_out})); + // A masked-out source yields an empty DAG and no cost. + auto masked = make_bool_mask(static_cast(n), true); + masked[0] = false; + auto [c_m, dag_m] = shortest_paths_dag(d.g, 0, 1, true, sel, {}, std::span(masked.get(), static_cast(n)), {}); + EXPECT_EQ(c_m, std::numeric_limits::max()); + EXPECT_EQ(dag_m.parents.size(), 0u); + EXPECT_EQ(dag_m.parent_offsets.size(), static_cast(n) + 1); +} + +// --------------------------------------------------------------------------- +// make_hops_dag: explicit routes with parallel edges per hop. +// --------------------------------------------------------------------------- +TEST(ShortestPaths, MakeHopsDagBuildsBundledHops) { + // 0 -> 1 via four parallel edges, 1 -> 2 via one edge, 1 -> 3 unrelated. + std::vector src = {0, 0, 0, 0, 1, 1}, dst = {1, 1, 1, 1, 2, 3}; + std::vector cap = {10, 10, 10, 10, 50, 5}; + std::vector cost = {1, 1, 1, 1, 1, 1}; + auto g = StrictMultiDiGraph::from_arrays(4, src, dst, cap, cost); + std::vector> hops = {{0, 1, 2, 3}, {4}}; + auto dag = make_hops_dag(g, hops); + ASSERT_EQ(dag.parent_offsets, (std::vector{0, 0, 4, 5, 5})); + EXPECT_EQ(dag.parents, (std::vector{0, 0, 0, 0, 1})); + EXPECT_EQ(dag.via_edges, (std::vector{0, 1, 2, 3, 4})); + // Hop order is kept as given. + auto reordered = make_hops_dag(g, std::vector>{{3, 1}, {4}}); + EXPECT_EQ(reordered.via_edges, (std::vector{3, 1, 4})); + // from_edges is the one-edge-per-hop case. + auto single = make_path_dag(g, std::array{2, 4}); + EXPECT_EQ(single.via_edges, (std::vector{2, 4})); + EXPECT_EQ(single.parent_offsets, (std::vector{0, 0, 1, 2, 2})); +} + +TEST(ShortestPaths, MakeHopsDagRejectsMalformedRoutes) { + std::vector src = {0, 0, 1, 1, 2}, dst = {1, 1, 2, 3, 0}; + std::vector cap = {1, 1, 1, 1, 1}; + std::vector cost = {1, 1, 1, 1, 1}; + auto g = StrictMultiDiGraph::from_arrays(4, src, dst, cap, cost); + using H = std::vector>; + EXPECT_THROW((void)make_hops_dag(g, H{}), std::invalid_argument); // empty route + EXPECT_THROW((void)make_hops_dag(g, H{{0}, {}}), std::invalid_argument); // empty hop + EXPECT_THROW((void)make_hops_dag(g, H{{0, 7}}), std::invalid_argument); // id out of range + EXPECT_THROW((void)make_hops_dag(g, H{{0, 0}}), std::invalid_argument); // repeated edge in a hop + EXPECT_THROW((void)make_hops_dag(g, H{{2, 3}}), std::invalid_argument); // not parallel (1->2 and 1->3) + EXPECT_NO_THROW((void)make_hops_dag(g, H{{0, 1}, {3}})); // 0->1 bundle, then 1->3 + EXPECT_THROW((void)make_hops_dag(g, H{{0}, {4}}), std::invalid_argument); // 0->1 then 2->0: not contiguous + EXPECT_THROW((void)make_hops_dag(g, H{{0}, {2}, {4}}), std::invalid_argument); // 0->1->2->0 revisits 0 + EXPECT_THROW((void)make_path_dag(g, std::array{0, 4}), std::invalid_argument); +} diff --git a/tests/py/test_graph_cost_metadata.py b/tests/py/test_graph_cost_metadata.py new file mode 100644 index 0000000..f5e4735 --- /dev/null +++ b/tests/py/test_graph_cost_metadata.py @@ -0,0 +1,29 @@ +"""StrictMultiDiGraph.max_cost / cost_gcd: the inputs of the SPF queue dispatch rule.""" + +from __future__ import annotations + +import numpy as np + +import netgraph_core as ngc + + +def _graph(costs): + n = len(costs) + 1 + return ngc.StrictMultiDiGraph.from_arrays( + n, + src=np.arange(len(costs), dtype=np.int32), + dst=np.arange(1, n, dtype=np.int32), + capacity=np.ones(len(costs), dtype=np.float64), + cost=np.array(costs, dtype=np.int64), + ext_edge_ids=np.arange(len(costs), dtype=np.int64), + ) + + +def test_cost_metadata(): + assert _graph([6, 9, 0]).max_cost() == 9 + assert _graph([6, 9, 0]).cost_gcd() == 3 + assert _graph([0, 0]).max_cost() == 0 + assert _graph([0, 0]).cost_gcd() == 0 + big = (1 << 40) + 7 + assert _graph([big]).max_cost() == big + assert _graph([big]).cost_gcd() == big diff --git a/tests/py/test_pred_dag_from_hops.py b/tests/py/test_pred_dag_from_hops.py new file mode 100644 index 0000000..5069168 --- /dev/null +++ b/tests/py/test_pred_dag_from_hops.py @@ -0,0 +1,74 @@ +"""PredDAG.from_hops: explicit routes whose hops may use several parallel edges.""" + +from __future__ import annotations + +import numpy as np +import pytest + +import netgraph_core as ngc + + +def _graph(): + # Four parallel 10-unit links 0 -> 1 (ids 0-3), 1 -> 0 back (id 4) and + # 1 -> 2 (id 5): edge ids follow the graph's (cost, src, dst) ordering. + return ngc.StrictMultiDiGraph.from_arrays( + 3, + src=np.array([0, 0, 0, 0, 1, 1], dtype=np.int32), + dst=np.array([1, 1, 1, 1, 2, 0], dtype=np.int32), + capacity=np.array([10.0, 10.0, 10.0, 10.0, 100.0, 1.0], dtype=np.float64), + cost=np.array([1, 1, 1, 1, 1, 1], dtype=np.int64), + ext_edge_ids=np.arange(6, dtype=np.int64), + ) + + +def test_from_hops_layout_and_order(): + g = _graph() + dag = ngc.PredDAG.from_hops(g, [[3, 1], [5]]) + assert list(dag.parent_offsets) == [0, 0, 2, 3] + assert list(dag.parents) == [0, 0, 1] + assert list(dag.via_edges) == [3, 1, 5] + single = ngc.PredDAG.from_edges(g, [2, 5]) + assert list(single.via_edges) == [2, 5] + + +def test_from_hops_bundle_carries_every_parallel_edge(): + g = _graph() + fg = ngc.FlowGraph(g) + one = ngc.PredDAG.from_edges(g, [0, 5]) + bundle = ngc.PredDAG.from_hops(g, [[0, 1, 2, 3], [5]]) + idx_a = ngc.FlowIndex(0, 2, 0, 1) + idx_b = ngc.FlowIndex(0, 2, 0, 2) + assert fg.place( + idx_a, 0, 2, one, 100.0, ngc.FlowPlacement.PROPORTIONAL + ) == pytest.approx(10.0) + fg.remove(idx_a) + assert fg.place( + idx_b, 0, 2, bundle, 100.0, ngc.FlowPlacement.PROPORTIONAL + ) == pytest.approx(40.0) + + +@pytest.mark.parametrize( + "hops, message", + [ + ([], "non-empty"), + ([[0], []], "empty"), + ([[0, 9]], "out of range"), + ([[0, 0]], "repeated"), + ([[4, 5]], "not parallel"), # 1 -> 0 and 1 -> 2 + ([[0], [5], [4]], "contiguous"), # 0 -> 1 -> 2, then 1 -> 0 + ([[0], [5]], None), # valid: 0 -> 1 -> 2 + ], +) +def test_from_hops_validation(hops, message): + g = _graph() + if message is None: + ngc.PredDAG.from_hops(g, hops) + return + with pytest.raises(ValueError, match=message): + ngc.PredDAG.from_hops(g, hops) + + +def test_from_hops_rejects_revisited_node(): + g = _graph() + with pytest.raises(ValueError, match="simple path"): + ngc.PredDAG.from_hops(g, [[0], [4]]) # 0 -> 1 -> 0 diff --git a/tests/py/test_spf_edge_priority.py b/tests/py/test_spf_edge_priority.py new file mode 100644 index 0000000..15d2e79 --- /dev/null +++ b/tests/py/test_spf_edge_priority.py @@ -0,0 +1,71 @@ +"""EdgeSelection.priority: which per-edge value ranks equal-cost alternatives.""" + +from __future__ import annotations + +import numpy as np + +import netgraph_core as ngc + + +def _graph(): + # Two parallel equal-cost edges 0 -> 1: capacities 10 and 5, residuals 2 and 4. + g = ngc.StrictMultiDiGraph.from_arrays( + 2, + src=np.array([0, 0], dtype=np.int32), + dst=np.array([1, 1], dtype=np.int32), + capacity=np.array([10.0, 5.0], dtype=np.float64), + cost=np.array([1, 1], dtype=np.int64), + ext_edge_ids=np.array([100, 101], dtype=np.int64), + ) + algs = ngc.Algorithms(ngc.Backend.cpu()) + return g, algs, algs.build_graph(g) + + +def _chosen_edge(algs, gh, priority, residual): + sel = ngc.EdgeSelection( + multi_edge=False, + tie_break=ngc.EdgeTieBreak.PREFER_HIGHER_RESIDUAL, + priority=priority, + ) + _, dag = algs.spf(gh, 0, selection=sel, residual=residual) + via = np.asarray(dag.via_edges) + assert len(via) == 1 + return int(via[0]) + + +def test_priority_default_and_attribute(): + sel = ngc.EdgeSelection() + assert sel.priority == ngc.EdgePriority.RESIDUAL + sel.priority = ngc.EdgePriority.HEADROOM + assert sel.priority == ngc.EdgePriority.HEADROOM + assert set(ngc.EdgePriority.__members__) == {"RESIDUAL", "CAPACITY", "HEADROOM"} + + +def test_priority_selects_the_ranking_value(): + _, algs, gh = _graph() + residual = np.array([2.0, 4.0], dtype=np.float64) + assert _chosen_edge(algs, gh, ngc.EdgePriority.RESIDUAL, residual) == 1 + assert _chosen_edge(algs, gh, ngc.EdgePriority.CAPACITY, residual) == 0 + assert _chosen_edge(algs, gh, ngc.EdgePriority.HEADROOM, residual) == 1 # 0.8 > 0.2 + + +def test_priority_without_residual_falls_back_to_capacity(): + _, algs, gh = _graph() + for pri in ( + ngc.EdgePriority.RESIDUAL, + ngc.EdgePriority.CAPACITY, + ngc.EdgePriority.HEADROOM, + ): + assert _chosen_edge(algs, gh, pri, None) == 0 + + +def test_priority_does_not_change_eligibility(): + # A saturated edge stays excluded under capacity gating whatever the priority. + _, algs, gh = _graph() + residual = np.array([0.0, 4.0], dtype=np.float64) + for pri in ( + ngc.EdgePriority.RESIDUAL, + ngc.EdgePriority.CAPACITY, + ngc.EdgePriority.HEADROOM, + ): + assert _chosen_edge(algs, gh, pri, residual) == 1 From df3b89406ff2fb4b99fdc70ec8225f9afecbcdc0 Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Sat, 3 Oct 2026 18:40:43 +0100 Subject: [PATCH 02/39] Phase 0: version 0.12.0 on the integration branch; lint excludes for review artefacts Co-Authored-By: Claude Fable 5.1 --- pyproject.toml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 22da3f5..7f9a41a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "scikit_build_core.build" [project] name = "netgraph-core" -version = "0.11.0" +version = "0.12.0" description = "C++ implementation of graph algorithms for network flow analysis and traffic engineering with Python bindings" readme = "README.md" requires-python = ">=3.11" @@ -66,7 +66,7 @@ markers = ["slow: marks tests as slow (deselect with '-m \"not slow\"')"] line-length = 88 indent-width = 4 # Recorded reviewer artefacts are kept verbatim. -extend-exclude = ["dev/reviews"] +extend-exclude = ["dev/reviews", "dev/design/2026-10-streamline/review", "dev/design/2026-10-streamline/review-*"] [tool.ruff.lint] select = ["E4", "E7", "E9", "F", "B", "I"] From b4766397e3594a0242d319f456ead87d1e47b007 Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Sun, 4 Oct 2026 21:35:02 -0700 Subject: [PATCH 03/39] =?UTF-8?q?Phase=201a:=20graph=20on=20integer=20unit?= =?UTF-8?q?s=20with=20B=E2=80=B2=20edge=20ids=20and=20the=20min-cost=20flo?= =?UTF-8?q?w=20core?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Delete the old library (FlowState, the old FlowGraph and FlowPolicy, the backend, the old search entry points and their bindings: 411 symbols, 65 files) and build the first piece of the streamlined Core against APPROACH revision 25: - StrictMultiDiGraph(num_nodes, src, dst, capacity_units, cost, resolution): capacities as int64 units of an explicit resolution, costs >= 1, edges in the canonical (src, cost, dst, input) order so the forward CSR slot is the public EdgeId, input_index() as the only map, to_units (half up) and as_float, validation in the contract's order (resolution, unit values, shapes, costs, bounds) before any narrowing. - The flow core: successive shortest paths with potentials on reduced costs, Dinic phases per tier, forward and reverse arcs interleaved in ascending EdgeId at every node, virtual terminals, a fresh solve from zero on the view, the two-branch behaviour for an input cap of 0, the closure seeded at the real sources; exposed to the recorder through the private _place_global_units entry with the typed payload (placed, cost_distribution, edge_flows, min_cut, potentials with NEVER_REACHED = -1, six int64 counters). - 38 C++ tests (every validation error, B′ order, the review witnesses: attained value, update-before-drain, two Dinic phases in one tier, the legal maximum, the zero-view cap, masks and cost factors) and 154 Python tests. Gates (dev/design/2026-10-streamline/gates/1a/, uncommitted design tree): workspace check and sanitizers green; independent oracle population 3,821 pass / 0 fail; cross-check against the Python reference on 30,000 random graphs identical; the equivalence run against the G0 baseline 0 failures under the 1a manifest rules; inventory: 0 Core callers of any deleted symbol (NetGraph callers pending until Phase 2); construction and max-flow A/B/A rows 23 to 48 percent faster than df3b894. Reviewed adversarially (review-1a, review-1a-fixes): D1 to D4 fixed or settled in the contract. NetGraph is red from this commit until its migration converges (Phase 2), by decision of 2026-10-04. Co-Authored-By: Claude Fable 5.1 --- CHANGELOG.md | 24 + CMakeLists.txt | 17 +- Makefile | 4 +- README.md | 109 +- bindings/python/module.cpp | 1201 +++++------ dev/benchmark_profiling_overhead.py | 297 --- include/netgraph/core/algorithms.hpp | 62 - include/netgraph/core/backend.hpp | 149 -- include/netgraph/core/constants.hpp | 13 - include/netgraph/core/flow.hpp | 28 - include/netgraph/core/flow_graph.hpp | 94 - include/netgraph/core/flow_policy.hpp | 261 --- include/netgraph/core/flow_state.hpp | 112 - include/netgraph/core/k_shortest_paths.hpp | 26 - include/netgraph/core/max_flow.hpp | 118 +- include/netgraph/core/options.hpp | 50 - include/netgraph/core/profiling.hpp | 8 +- include/netgraph/core/shortest_paths.hpp | 170 -- include/netgraph/core/strict_multidigraph.hpp | 146 +- include/netgraph/core/types.hpp | 109 +- python/netgraph_core/__init__.py | 72 +- python/netgraph_core/_docs.py | 996 +-------- src/cpu_backend.cpp | 146 -- src/flow_graph.cpp | 185 -- src/flow_policy.cpp | 850 -------- src/flow_state.cpp | 674 ------ src/k_shortest_paths.cpp | 349 ---- src/max_flow.cpp | 841 ++++---- src/shortest_paths.cpp | 1245 ----------- src/strict_multidigraph.cpp | 376 ++-- tests/cpp/flow_graph_tests.cpp | 332 --- tests/cpp/flow_policy_tests.cpp | 507 ----- tests/cpp/flow_state_tests.cpp | 589 ------ tests/cpp/k_shortest_paths_tests.cpp | 331 --- tests/cpp/masking_tests.cpp | 698 +------ tests/cpp/max_flow_tests.cpp | 1811 +++++------------ tests/cpp/shortest_paths_tests.cpp | 837 -------- tests/cpp/smoke_test.cpp | 46 +- tests/cpp/strict_multidigraph_tests.cpp | 567 +++--- tests/cpp/test_utils.hpp | 783 ++++--- tests/py/conftest.py | 956 --------- tests/py/flow_oracle.py | 198 ++ tests/py/test_api_validation.py | 147 -- tests/py/test_batch_max_flow_consistency.py | 72 - tests/py/test_batch_max_flow_masks.py | 35 - tests/py/test_cross_validation.py | 356 ---- tests/py/test_edge_cases.py | 184 -- tests/py/test_equal_balanced_modes.py | 218 -- tests/py/test_ext_edge_ids.py | 142 -- tests/py/test_flow_policy.py | 282 --- tests/py/test_flow_policy_configurations.py | 513 ----- tests/py/test_flow_policy_edge_cases.py | 408 ---- tests/py/test_flow_policy_lifecycle.py | 76 - tests/py/test_flow_policy_masks.py | 383 ---- .../py/test_flow_policy_path_distribution.py | 532 ----- tests/py/test_flow_policy_spf_memo.py | 158 -- tests/py/test_flow_policy_validation.py | 385 ---- tests/py/test_graph.py | 358 ++++ tests/py/test_graph_cost_metadata.py | 29 - tests/py/test_graph_from_arrays.py | 69 - tests/py/test_graph_structure.py | 27 - tests/py/test_imports.py | 40 +- tests/py/test_ksp.py | 89 - tests/py/test_ksp_variants.py | 135 -- tests/py/test_lifetime_safety.py | 329 --- tests/py/test_mask_semantics.py | 180 -- tests/py/test_mask_validation.py | 230 --- tests/py/test_masking_comprehensive.py | 653 ------ tests/py/test_max_flow.py | 310 --- tests/py/test_max_flow_cost_distribution.py | 166 -- tests/py/test_max_flow_summary.py | 53 - tests/py/test_maxflow_certificate.py | 197 -- tests/py/test_paths_resolve.py | 67 - tests/py/test_place_global_units.py | 287 +++ .../py/test_policy_vs_maxflow_equivalence.py | 213 -- tests/py/test_pred_dag_from_hops.py | 74 - tests/py/test_profiling.py | 100 - tests/py/test_review_regressions.py | 590 ------ tests/py/test_sensitivity.py | 196 -- tests/py/test_spf_basic.py | 184 -- tests/py/test_spf_edge_priority.py | 71 - tests/py/test_spf_edge_select.py | 186 -- tests/py/test_spf_masks.py | 51 - tests/py/test_spf_queue_env.py | 69 - tests/py/test_spf_to.py | 114 -- tests/py/test_static_paths.py | 392 ---- tests/py/test_thread_safety.py | 360 ---- tests/py/test_units.py | 134 ++ 88 files changed, 3742 insertions(+), 22489 deletions(-) delete mode 100644 dev/benchmark_profiling_overhead.py delete mode 100644 include/netgraph/core/algorithms.hpp delete mode 100644 include/netgraph/core/backend.hpp delete mode 100644 include/netgraph/core/constants.hpp delete mode 100644 include/netgraph/core/flow.hpp delete mode 100644 include/netgraph/core/flow_graph.hpp delete mode 100644 include/netgraph/core/flow_policy.hpp delete mode 100644 include/netgraph/core/flow_state.hpp delete mode 100644 include/netgraph/core/k_shortest_paths.hpp delete mode 100644 include/netgraph/core/options.hpp delete mode 100644 include/netgraph/core/shortest_paths.hpp delete mode 100644 src/cpu_backend.cpp delete mode 100644 src/flow_graph.cpp delete mode 100644 src/flow_policy.cpp delete mode 100644 src/flow_state.cpp delete mode 100644 src/k_shortest_paths.cpp delete mode 100644 src/shortest_paths.cpp delete mode 100644 tests/cpp/flow_graph_tests.cpp delete mode 100644 tests/cpp/flow_policy_tests.cpp delete mode 100644 tests/cpp/flow_state_tests.cpp delete mode 100644 tests/cpp/k_shortest_paths_tests.cpp delete mode 100644 tests/cpp/shortest_paths_tests.cpp delete mode 100644 tests/py/conftest.py create mode 100644 tests/py/flow_oracle.py delete mode 100644 tests/py/test_api_validation.py delete mode 100644 tests/py/test_batch_max_flow_consistency.py delete mode 100644 tests/py/test_batch_max_flow_masks.py delete mode 100644 tests/py/test_cross_validation.py delete mode 100644 tests/py/test_edge_cases.py delete mode 100644 tests/py/test_equal_balanced_modes.py delete mode 100644 tests/py/test_ext_edge_ids.py delete mode 100644 tests/py/test_flow_policy.py delete mode 100644 tests/py/test_flow_policy_configurations.py delete mode 100644 tests/py/test_flow_policy_edge_cases.py delete mode 100644 tests/py/test_flow_policy_lifecycle.py delete mode 100644 tests/py/test_flow_policy_masks.py delete mode 100644 tests/py/test_flow_policy_path_distribution.py delete mode 100644 tests/py/test_flow_policy_spf_memo.py delete mode 100644 tests/py/test_flow_policy_validation.py create mode 100644 tests/py/test_graph.py delete mode 100644 tests/py/test_graph_cost_metadata.py delete mode 100644 tests/py/test_graph_from_arrays.py delete mode 100644 tests/py/test_graph_structure.py delete mode 100644 tests/py/test_ksp.py delete mode 100644 tests/py/test_ksp_variants.py delete mode 100644 tests/py/test_lifetime_safety.py delete mode 100644 tests/py/test_mask_semantics.py delete mode 100644 tests/py/test_mask_validation.py delete mode 100644 tests/py/test_masking_comprehensive.py delete mode 100644 tests/py/test_max_flow.py delete mode 100644 tests/py/test_max_flow_cost_distribution.py delete mode 100644 tests/py/test_max_flow_summary.py delete mode 100644 tests/py/test_maxflow_certificate.py delete mode 100644 tests/py/test_paths_resolve.py create mode 100644 tests/py/test_place_global_units.py delete mode 100644 tests/py/test_policy_vs_maxflow_equivalence.py delete mode 100644 tests/py/test_pred_dag_from_hops.py delete mode 100644 tests/py/test_profiling.py delete mode 100644 tests/py/test_review_regressions.py delete mode 100644 tests/py/test_sensitivity.py delete mode 100644 tests/py/test_spf_basic.py delete mode 100644 tests/py/test_spf_edge_priority.py delete mode 100644 tests/py/test_spf_edge_select.py delete mode 100644 tests/py/test_spf_masks.py delete mode 100644 tests/py/test_spf_queue_env.py delete mode 100644 tests/py/test_spf_to.py delete mode 100644 tests/py/test_static_paths.py delete mode 100644 tests/py/test_thread_safety.py create mode 100644 tests/py/test_units.py diff --git a/CHANGELOG.md b/CHANGELOG.md index 62bdd65..8d33ba4 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -7,6 +7,30 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ## [Unreleased] +### Streamline sub-PR 1a (breaking; integration branch `streamline`) + +The release rebuilds Core in sub-PRs (`dev/design/2026-10-streamline/`). Sub-PR 1a: + +- **Removed**: the previous library and its bindings: `FlowState`, `FlowGraph`, `FlowPolicy` + and their configuration, the backend and algorithms facade, the search entry points + (`shortest_paths`, `shortest_paths_to`, `spf_dag`, `k_shortest_paths`), max-flow, batch + max-flow and sensitivity, the SPF memo and `StateStamp`, `kMinFlow`, `kEpsilon`, + `constants.hpp`, the Python profiling accessors, and their tests. The ledger, kernels, + policies, searches and evaluators return in sub-PRs 1b to 1d; the entries below the 1a block + describe the removed API. +- **Graph**: `StrictMultiDiGraph(num_nodes, src, dst, capacity_units, cost, resolution)` is the + one constructor: capacities are `int64` units of an explicit resolution (a power of two in + `[2^-32, 2^32]`), costs are positive integers, and the public `EdgeId` is the rank of an edge in + `(src, cost, dst, input)` with `input_index()` mapping ids to input positions. Validation + reports the first defect in a fixed order (unit values, shapes, costs, remaining bounds, + including the cost-sum guard). Accessors return read-only NumPy views. `Eligibility` is built + from excluded node ids and EdgeIds. `to_units` (round half up) and `as_float` are the only + conversions between physical values and units. +- **Flow core**: one integer minimum-cost flow (successive shortest paths with potentials, Dinic + phases per cost tier, every edge its own arc, arcs at a node in ascending EdgeId) behind the + private entry `_netgraph_core._place_global_units`, returning the value, the marginal cost + curve, edge flows, the residual minimum cut, the potentials and six operation counters. + ### Added - **Shortest Paths**: `shortest_paths_dag(g, src, dst, ...)` (C++) and `Backend::spf_dag` / `Algorithms::spf_dag` return the destination's cost and the predecessor DAG without materialising the N-sized distance vector; `calc_max_flow`, `FlowState::place_max_flow`, `FlowPolicy` and the KSP spur searches now use it (outputs unchanged). `Backend::spf_dag` has a default implementation derived from `spf`, so other backends need no change. Measured old/new/old against 0.11.0: about 1.25x on first-neighbour searches at 16k–262k nodes, unchanged on full searches. diff --git a/CMakeLists.txt b/CMakeLists.txt index 1f08d4c..f92f3d6 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -15,13 +15,8 @@ if(NETGRAPH_CORE_BUILD_TESTS) enable_testing() add_executable(netgraph_core_tests tests/cpp/smoke_test.cpp - tests/cpp/flow_policy_tests.cpp tests/cpp/strict_multidigraph_tests.cpp - tests/cpp/shortest_paths_tests.cpp - tests/cpp/flow_state_tests.cpp - tests/cpp/flow_graph_tests.cpp tests/cpp/max_flow_tests.cpp - tests/cpp/k_shortest_paths_tests.cpp tests/cpp/masking_tests.cpp ) target_link_libraries(netgraph_core_tests PRIVATE netgraph_core GTest::gtest_main) @@ -76,13 +71,7 @@ endif() add_library(netgraph_core STATIC src/strict_multidigraph.cpp - src/shortest_paths.cpp - src/k_shortest_paths.cpp src/max_flow.cpp - src/flow_state.cpp - src/flow_graph.cpp - src/flow_policy.cpp - src/cpu_backend.cpp src/profiling.cpp ) target_include_directories(netgraph_core PUBLIC @@ -209,9 +198,9 @@ endif() if(NETGRAPH_CORE_COVERAGE) message(STATUS "Enabling coverage instrumentation (disables optimizations)") if(CMAKE_CXX_COMPILER_ID MATCHES "GNU|Clang") - # batch_max_flow and sensitivity_analysis run worker threads, and the default - # non-atomic profile counters corrupt under concurrent updates (gcov then - # emits impossible values such as "branch 4 taken -1"). + # Worker threads (batch and sensitivity evaluators from 1c on) corrupt the default + # non-atomic profile counters under concurrent updates (gcov then emits impossible + # values such as "branch 4 taken -1"). set(COV_FLAGS -O0 -g --coverage) if(CMAKE_CXX_COMPILER_ID MATCHES "GNU") list(APPEND COV_FLAGS -fprofile-update=atomic) diff --git a/Makefile b/Makefile index 3828d0f..0e41d81 100644 --- a/Makefile +++ b/Makefile @@ -133,8 +133,8 @@ install-pgo: @rm -rf build/ $(PGO_DIR) @mkdir -p $(PGO_DIR) @$(ENV_MACOS) $(ENV_CC) $(ENV_CXX) CMAKE_ARGS="$(strip $(CMAKE_ARGS) -DNETGRAPH_CORE_PGO_GENERATE=ON -DNETGRAPH_CORE_PGO_DIR=$(PGO_DIR) -DNETGRAPH_CORE_NATIVE=ON)" $(PIP) install -e . - @echo "📦 PGO Build Phase 2/3: Collecting profile (running benchmark)..." - @$(PYTHON) dev/benchmark_profiling_overhead.py --mesh-size 25 --spf-iters 1000 --flow-iters 200 >/dev/null 2>&1 + @echo "📦 PGO Build Phase 2/3: Collecting profile (running the Python test suite)..." + @$(PYTEST) -q tests/py >/dev/null 2>&1 @# Clang: merge raw profiles into .profdata (profile may be in cwd or PGO_DIR) @if ls $(PGO_DIR)/*.profraw >/dev/null 2>&1; then \ echo " Merging Clang profile data..."; \ diff --git a/README.md b/README.md index ee28cef..2f616bb 100644 --- a/README.md +++ b/README.md @@ -2,84 +2,62 @@ C++ graph engine for network flow analysis, traffic engineering simulation, and capacity planning. -## Overview +> **Streamline in progress.** The `streamline` branch rebuilds Core in sub-PRs +> (`dev/design/2026-10-streamline/`). This build (sub-PR 1a) carries the graph on integer +> units and the minimum-cost flow core behind a private entry point; the ledger, placement +> kernels, policies, searches and evaluators return in the following sub-PRs. The previous API +> (0.12 and earlier) is in git history and on PyPI. -NetGraph-Core provides a specialized graph implementation for networking problems. Key design priorities: +## Overview -- **Determinism**: Guaranteed reproducible edge ordering by (cost, src, dst). -- **Flow Modeling**: Native support for multi-commodity flow state, residual tracking, and ECMP/WCMP placement. -- **Performance**: Immutable CSR (Compressed Sparse Row) adjacency, and zero-copy NumPy views over mutable flow state. +- **Exact integer amounts**: a graph carries an explicit resolution `q` (a power of two in + `[2^-32, 2^32]`); capacities and flows are `int64` units of `q`. Physical values enter only + through `to_units` (round half up) and leave through `as_float`. +- **Positive costs**: edge costs are integers `>= 1`, so the shortest-path DAG is unique. +- **Stable edge ids**: the public `EdgeId` is the rank of an edge in the order + `(src, cost, dst, input)`; `input_index()` maps ids back to input positions. +- **One flow core**: an integer minimum-cost flow (successive shortest paths with potentials, + Dinic phases per cost tier) returning the flow value, the marginal cost curve, per-edge + flows, the residual minimum cut and the dual potentials. ## Core Features -### 1. Graph Representations - -- **`StrictMultiDiGraph`**: Immutable directed multigraph using CSR adjacency. Supports parallel edges (multi-graph), essential for network topologies. -- **`FlowGraph`**: Topology overlay managing mutable flow state, per-flow edge allocations, and residual capacities. - -### 2. Network Algorithms - -- **Shortest Paths (SPF)**: - - Modified Dijkstra returns a **Predecessor DAG** to capture all equal-cost paths. - - Supports **ECMP** (Equal-Cost Multi-Path) routing. - - Features **node/edge masking** and **residual-aware tie-breaking**, with a selectable priority value (residual, static capacity, or headroom = residual / capacity). - -- **K-Shortest Paths (KSP)**: - - Yen's algorithm returning DAG-wrapped paths. - - Configurable constraints on cost factors (e.g., paths within 1.5x of optimal). - -- **Explicit Paths**: - - `PredDAG.from_edges(graph, edges)` builds a path bundle from an operator-supplied - edge sequence, usable anywhere a `PredDAG` is accepted; `PredDAG.from_hops(graph, hops)` - does the same for routes whose hops use several parallel edges. +### Graph -- **Max-Flow**: - - **Algorithm**: Iterative augmentation using Successive Shortest Path on residual graphs, pushing flow across full ECMP/WCMP DAGs at each step. For `Proportional` placement with `require_capacity=True`, a final residual completion phase augments with reverse arcs so the result is a true maximum flow; the other modes are placement models and may report less. - - **Traffic Engineering (TE) Mode**: Routing adapts to residual capacity (progressive fill). - - **IP Routing Mode**: Cost-only routing (ECMP/WCMP) ignoring capacity constraints. +- **`StrictMultiDiGraph(num_nodes, src, dst, capacity_units, cost, resolution)`**: immutable + directed multigraph with forward and reverse CSR adjacency; parallel edges and self-loops are + allowed. Validation reports the first defect in a fixed order (unit values, shapes, costs, + remaining bounds). Accessors (`capacity_units()`, `cost()`, `edge_src()`, `edge_dst()`, + `input_index()`, `row_offsets()`, `in_row_offsets()`, `in_adj_edge_index()`) return read-only + NumPy views that keep the graph alive. +- **`Eligibility`**: immutable, graph-bound static eligibility built by + `graph.eligibility(excluded_nodes, excluded_edges)`. -- **Analysis**: - - **Sensitivity Analysis**: Identifies critical edges by removing each saturated edge and measuring how much total flow is *lost*. Supports `shortest_path` mode to analyze only edges used under ECMP routing (IP/IGP networks) vs. full max-flow (SDN/TE networks). - - **Min-Cut**: Computes minimum cuts on residual graphs. +### Flow core -### 3. Flow Policy Engine - -Unified configuration object (`FlowPolicy`) that models diverse routing behaviors: - -- **Modeling**: Unified configuration for **IP Routing** (static costs) and **Traffic Engineering** (dynamic residuals). -- **Placement Strategies**: - - `EqualBalanced`: **ECMP** (equal splitting) - equal distribution across next-hops and parallel edges. - - `Proportional`: **WCMP** (weighted splitting) - distribution proportional to residual capacity. -- **Lifecycle Management**: Handles demand placement, re-optimization of existing flows, and constraints (path cost, stretch factor, flow counts). -- **Static (Pinned) Paths**: `FlowPolicy.set_static_paths()` pins a demand to explicit path bundles (MPLS-style). One flow per usable bundle; a bundle with no path surviving the failure masks is *down* and carries nothing, since a pinned path does not reroute. - -### 4. Python Integration - -- **Zero-Copy**: `FlowState` and `FlowGraph` `*_view()` methods expose C++ buffers as read-only NumPy arrays that track mutation in place. `StrictMultiDiGraph.*_view()` returns copies instead, so the graph's immutability cannot be violated. -- **Concurrency**: Releases the Python GIL during the long-running algorithms (SPF, KSP, max-flow, placement) to enable threading. `PredDAG.resolve_to_paths` holds the GIL. `batch_max_flow` and `sensitivity_analysis` also use internal worker threads, sized by `NGRAPH_CORE_BATCH_THREADS` / `NGRAPH_CORE_SENSITIVITY_THREADS`. +`_netgraph_core._place_global_units(graph, view, sources, destinations, elig, cap)` computes +the minimum-cost flow of the maximum value attainable under `cap` (`None`: uncapped) from a +source set to a destination set over the eligible edges, on the capacities `view` (units, id +order), starting from zero flow. It returns `{placed, cost_distribution, edge_flows, min_cut, +potentials, counters}`. It is private: the recorder and the gates use it; the public evaluators +built on it arrive with the policy engine. ## Quick Start ```python -import numpy as np import netgraph_core as ngc +import _netgraph_core -# Two parallel paths from node 0 to node 3. -graph = ngc.StrictMultiDiGraph.from_arrays( - num_nodes=4, - src=np.array([0, 1, 0, 2], dtype=np.int32), - dst=np.array([1, 3, 2, 3], dtype=np.int32), - capacity=np.array([10.0, 10.0, 5.0, 5.0], dtype=np.float64), - cost=np.array([1, 1, 1, 1], dtype=np.int64), - ext_edge_ids=np.arange(4, dtype=np.int64), # your own stable edge ids -) - -algs = ngc.Algorithms(ngc.Backend.cpu()) -handle = algs.build_graph(graph) +q = 2.0**-12 +# Two parallel paths from node 0 to node 3 (physical capacities 10 and 5). +caps = ngc.to_units([10.0, 10.0, 5.0, 5.0], q) +graph = ngc.StrictMultiDiGraph(4, [0, 1, 0, 2], [1, 3, 2, 3], caps, [1, 1, 2, 2], q) -total, summary = algs.max_flow(handle, 0, 3) -print(total) # 15.0 -print(summary.min_cut.edges.tolist()) # [0, 1] -- bottleneck edge ids +payload = _netgraph_core._place_global_units( + graph, graph.capacity_units(), [0], [3], None, None +) +print(ngc.as_float(payload["placed"], q)) # 15.0 +print(payload["cost_distribution"]) # [[2, 40960], [4, 20480]] ``` ## Installation @@ -134,10 +112,7 @@ described in [dev/perf/README.md](dev/perf/README.md). | Variable | Effect | | --- | --- | -| `NGRAPH_CORE_PROFILE=1` | Enable profiling of C++ hot paths (`profiling_dump()` / `profiling_reset()`). | -| `NGRAPH_CORE_BATCH_THREADS` | Worker threads for `batch_max_flow` (default: hardware concurrency). Set to `1` when calling from your own worker pool. | -| `NGRAPH_CORE_SENSITIVITY_THREADS` | Worker threads for `sensitivity_analysis` (default: hardware concurrency). | -| `NGRAPH_CORE_SPF_QUEUE` | Frontier queue for SPF: `heap` forces the reference binary heap, `bucket` prefers the bucket queue where the graph is eligible. Unset (default) selects automatically; both give bit-identical results. Read once per process; for benchmarking and diagnosis. | +| `NGRAPH_CORE_PROFILE=1` | Enable the C++ profiling scopes (`profiling.hpp`); the Python accessors return with `netgraph_core.diagnostics`. | ## Requirements diff --git a/bindings/python/module.cpp b/bindings/python/module.cpp index 0909e39..b681bdb 100644 --- a/bindings/python/module.cpp +++ b/bindings/python/module.cpp @@ -1,705 +1,606 @@ /* - Pybind11 module exposing NetGraph-Core C++ APIs to Python. - - Uses NumPy arrays with zero-copy spans where possible for FlowState/FlowGraph views (read-only) - - Returns distances as float64 arrays by default (inf for unreachable); dtype='int64' available - - Validates edge/node masks for bool dtype and length - - StrictMultiDiGraph view methods return copies (by design) to avoid exposing lifetime + Pybind11 module `_netgraph_core`: the graph on integer units and the private flow-core entry. + + - Graph accessors return read-only NumPy views that keep the graph alive (no per-call copy). + - Integer inputs (capacities, costs, ids, views, caps) must be integers: Python ints, NumPy + integer scalars or integer arrays; floats and bools are rejected with ValueError, never + truncated. Values are read without narrowing (WideInts) and validated in the contract's + order before any conversion to the C++ types (APPROACH 3, revision 25). Physical values + enter only through to_units; the resolution is validated before anything else. + - std::invalid_argument from Core maps to ValueError. + - _place_global_units is the recorder's private entry point (APPROACH 2.2): it returns the + payload as a dict of Python ints and lists. */ #include #include #include -#include + +#include +#include +#include +#include #include #include +#include +#include -#include "netgraph/core/k_shortest_paths.hpp" #include "netgraph/core/max_flow.hpp" -#include "netgraph/core/flow_state.hpp" -#include "netgraph/core/shortest_paths.hpp" #include "netgraph/core/strict_multidigraph.hpp" #include "netgraph/core/types.hpp" -#include "netgraph/core/flow_graph.hpp" -#include "netgraph/core/flow.hpp" -#include "netgraph/core/flow_policy.hpp" -#include "netgraph/core/backend.hpp" -#include "netgraph/core/algorithms.hpp" -#include "netgraph/core/options.hpp" -#include "netgraph/core/profiling.hpp" namespace py = pybind11; using namespace netgraph::core; -// Helper opaque wrappers (defined at file scope to ensure stable type identity) -struct PyBackend { BackendPtr impl; }; -struct PyGraph { GraphHandle handle; py::object keep_alive; std::int32_t num_nodes; std::int32_t num_edges; }; - -// Helpers to check NumPy arrays namespace { -// Small helper: copy a span into a new NumPy array of the same dtype. + +// Read-only NumPy view of a span owned by `owner`. template -py::array_t copy_to_numpy(std::span s) { - py::array_t arr(s.size()); - if (!s.empty()) std::memcpy(arr.mutable_data(), s.data(), s.size()*sizeof(T)); +py::array readonly_view(std::span s, const py::handle& owner, const py::dtype& dtype) { + py::array arr(dtype, {static_cast(s.size())}, {static_cast(sizeof(T))}, + s.data(), owner); + py::detail::array_proxy(arr.ptr())->flags &= ~py::detail::npy_api::NPY_ARRAY_WRITEABLE_; return arr; } -// Owns a bool[] buffer and exposes a const span view onto it. -struct BoolSpan { - std::unique_ptr buf; - std::span view; -}; +template +py::array readonly_view(std::span s, const py::handle& owner) { + return readonly_view(s, owner, py::dtype::of()); +} + +bool is_bool(const py::handle& obj) { + return PyBool_Check(obj.ptr()) || py::isinstance(obj, py::module_::import("numpy").attr("bool_")); +} + +// The Python int of an integer-like object (a Python int or a NumPy integer scalar); bools and +// everything else are rejected. +py::object python_int(const py::handle& item, const std::string& what) { + if (is_bool(item) || !PyIndex_Check(item.ptr())) { + throw py::value_error(what + " must be an integer (got " + + std::string(py::str(py::type::of(item).attr("__name__"))) + ")"); + } + py::object idx = py::reinterpret_steal(PyNumber_Index(item.ptr())); + if (!idx) throw py::error_already_set(); + return idx; +} + +// One integer of [lo, hi] (scalar arguments). +std::int64_t integer_value(const py::handle& item, std::int64_t lo, std::int64_t hi, const std::string& what) { + py::object idx = python_int(item, what); + int overflow = 0; + const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); + if (overflow != 0 || v < lo || v > hi) { + throw py::value_error(what + " = " + std::string(py::str(idx)) + " is out of range [" + + std::to_string(lo) + ", " + std::to_string(hi) + "]"); + } + return static_cast(v); +} -// Validate 1-D C-contig NumPy bool array and deep-copy into bool[]. -static BoolSpan to_bool_span_from_numpy(py::object obj, std::size_t expected_len, const char* what) { - BoolSpan out; - if (obj.is_none()) return out; // empty span - py::array arr = obj.cast(); - if (!(arr.flags() & py::array::c_style)) { - throw py::type_error(std::string(what) + " must be C-contiguous"); +// A 1-D integer sequence read without narrowing: every entry's int64 value where it fits, and +// the sign of the overflow where it does not (+1 above INT64_MAX, -1 below INT64_MIN). Only type +// defects raise here (a non-integer, a bool, a float array, a non-sequence); every value bound +// is checked by the caller in the contract's order, so the reported error does not depend on +// the representation of the input (APPROACH 3, revision 25). +struct WideInts { + py::object source; + std::vector value; + std::vector overflow; // empty when no entry overflows + [[nodiscard]] std::size_t size() const noexcept { return value.size(); } + [[nodiscard]] int sign(std::size_t i) const noexcept { return overflow.empty() ? 0 : overflow[i]; } + // The entry as Python prints it (exact also beyond int64). + [[nodiscard]] std::string text(std::size_t i) const { + if (sign(i) == 0) return std::to_string(value[i]); + return std::string(py::str(source[py::int_(i)])); } - auto b = arr.request(); - if (b.ndim != 1 || b.format != py::format_descriptor::format()) { - throw py::type_error(std::string(what) + " must be 1-D bool"); + [[nodiscard]] bool in(std::size_t i, std::int64_t lo, std::int64_t hi) const noexcept { + return sign(i) == 0 && value[i] >= lo && value[i] <= hi; } - if (static_cast(b.shape[0]) != expected_len) { - throw py::type_error(std::string(what) + " length must equal " + std::to_string(expected_len)); + template + [[nodiscard]] std::vector narrow() const { // after every bound was checked + return std::vector(value.begin(), value.end()); + } +}; + +bool not_a_sequence(const py::handle& obj) { + return py::isinstance(obj) || py::isinstance(obj) || !py::isinstance(obj); +} + +WideInts wide_integers(const py::handle& obj, const char* name) { + WideInts out; + out.source = py::reinterpret_borrow(obj); + if (py::isinstance(obj)) { + auto arr = py::reinterpret_borrow(obj); + if (arr.ndim() != 1) { + throw py::value_error(std::string(name) + " must be a 1-D array (got " + std::to_string(arr.ndim()) + + " dimensions)"); + } + const char kind = arr.dtype().kind(); + if (kind != 'i' && kind != 'u') { + throw py::value_error(std::string(name) + " entries must be integers (got dtype " + + std::string(py::str(arr.dtype())) + ")"); + } + out.value.reserve(static_cast(arr.size())); + if (kind == 'u' && arr.itemsize() == 8) { + auto u = py::array_t::ensure(arr); + auto r = u.unchecked<1>(); + constexpr auto kMax = static_cast(std::numeric_limits::max()); + for (py::ssize_t i = 0; i < r.shape(0); ++i) { + if (r(i) > kMax) { + if (out.overflow.empty()) out.overflow.assign(static_cast(r.shape(0)), 0); + out.overflow[static_cast(i)] = 1; + out.value.push_back(std::numeric_limits::max()); + } else { + out.value.push_back(static_cast(r(i))); + } + } + return out; + } + auto a = py::array_t::ensure(arr); + auto r = a.unchecked<1>(); + for (py::ssize_t i = 0; i < r.shape(0); ++i) out.value.push_back(r(i)); + return out; + } + if (not_a_sequence(obj)) throw py::value_error(std::string(name) + " must be a sequence of integers"); + auto seq = py::reinterpret_borrow(obj); + const std::size_t n = seq.size(); + out.value.reserve(n); + for (std::size_t i = 0; i < n; ++i) { + py::object idx = python_int(seq[i], std::string(name) + "[" + std::to_string(i) + "]"); + int overflow = 0; + const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); + if (overflow != 0) { + if (out.overflow.empty()) out.overflow.assign(n, 0); + out.overflow[i] = static_cast(overflow); + out.value.push_back(overflow > 0 ? std::numeric_limits::max() + : std::numeric_limits::min()); + } else { + out.value.push_back(static_cast(v)); + } } - out.buf.reset(new bool[expected_len]); - // NumPy bool_ uses 1 byte; C++ bool is 1 byte on supported platforms. - std::memcpy(out.buf.get(), b.ptr, expected_len * sizeof(bool)); - out.view = std::span(out.buf.get(), expected_len); return out; } -} // namespace -// Helpers to check NumPy arrays -template -static std::span as_span(const py::array& arr, const char* name) { - if (!py::isinstance>(arr)) { - throw py::type_error(std::string(name) + ": expected numpy array of correct dtype"); +// An entry that is itself a sequence or an array of rank >= 1 (a shape defect of its argument). +bool is_nested(const py::handle& item) { + if (py::isinstance(item)) return py::reinterpret_borrow(item).ndim() >= 1; + return !py::isinstance(item) && !py::isinstance(item) && PySequence_Check(item.ptr()) != 0; +} + +// The shape step: the length of a rank-1 integer sequence argument. A NumPy array of another +// rank (0-D included), a nested sequence or a non-sequence is a shape defect. Entry types and +// values are not read here; their steps come later. +std::size_t sequence_length(const py::handle& obj, const char* name) { + if (py::isinstance(obj)) { + auto arr = py::reinterpret_borrow(obj); + if (arr.ndim() != 1) { + throw py::value_error(std::string(name) + " must be a 1-D array (got " + std::to_string(arr.ndim()) + + " dimensions)"); + } + return static_cast(arr.size()); } - if (!(arr.flags() & py::array::c_style)) { - throw py::type_error(std::string(name) + ": array must be C-contiguous (use np.ascontiguousarray)"); + if (not_a_sequence(obj)) { + throw py::value_error(std::string(name) + " must be a 1-D sequence of integers (got " + + std::string(py::str(py::type::of(obj).attr("__name__"))) + ")"); } - auto buf = arr.request(); - if (buf.ndim != 1) { - throw py::type_error(std::string(name) + ": expected 1-D array"); + auto seq = py::reinterpret_borrow(obj); + const std::size_t n = seq.size(); + for (std::size_t i = 0; i < n; ++i) { + if (is_nested(seq[i])) { + throw py::value_error(std::string(name) + " must be a 1-D sequence of integers (entry " + std::to_string(i) + + " is a sequence)"); + } } - return std::span(static_cast(buf.ptr), static_cast(buf.size)); + return n; } -PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { - m.doc() = "NetGraph-Core C++ bindings"; +// The unit-value step on the capacity argument whatever its shape (the shape step comes next): +// every integer entry it holds must lie in [0, 2^62). A NumPy array is read flattened; nested +// entries of a Python sequence and a non-integer non-sequence are left to the shape step. +void check_unit_values(const py::handle& capacity_units) { + const auto out_of_domain = [](const std::string& what, const std::string& value) { + return py::value_error(what + " = " + value + " is outside the units domain [0, 2^62)"); + }; + if (py::isinstance(capacity_units)) { + py::object flat = capacity_units.attr("ravel")(); + const auto w = wide_integers(flat, "capacity_units"); + for (std::size_t i = 0; i < w.size(); ++i) { + if (!w.in(i, 0, kDomainLimit - 1)) throw out_of_domain("capacity_units[" + std::to_string(i) + "]", w.text(i)); + } + return; + } + if (!not_a_sequence(capacity_units)) { + auto seq = py::reinterpret_borrow(capacity_units); + for (std::size_t i = 0; i < seq.size(); ++i) { + py::object item = seq[i]; + if (is_nested(item)) continue; + const std::string what = "capacity_units[" + std::to_string(i) + "]"; + py::object idx = python_int(item, what); + int overflow = 0; + const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); + if (overflow != 0 || v < 0 || v >= kDomainLimit) throw out_of_domain(what, std::string(py::str(idx))); + } + return; + } + if (!is_bool(capacity_units) && PyIndex_Check(capacity_units.ptr())) { + py::object idx = python_int(capacity_units, "capacity_units"); + int overflow = 0; + const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); + if (overflow != 0 || v < 0 || v >= kDomainLimit) throw out_of_domain("capacity_units", std::string(py::str(idx))); + } +} - py::enum_(m, "EdgeTieBreak") - .value("DETERMINISTIC", EdgeTieBreak::Deterministic) - .value("PREFER_HIGHER_RESIDUAL", EdgeTieBreak::PreferHigherResidual); +// Validates a resolution (a power of two in [2^-32, 2^32]) and returns its exponent. +int resolution_exponent(double resolution) { + (void)as_float(0, resolution); // throws the resolution message + return std::ilogb(resolution); +} - py::enum_(m, "EdgePriority") - .value("RESIDUAL", EdgePriority::Residual) - .value("CAPACITY", EdgePriority::Capacity) - .value("HEADROOM", EdgePriority::Headroom); +// Physical numbers as a float64 array (or a 0-d array for a scalar); bools and strings rejected. +py::array_t physical_array(const py::handle& x) { + if (is_bool(x) || py::isinstance(x) || py::isinstance(x)) { + throw py::value_error("to_units takes physical numbers (a float or an array of floats)"); + } + auto np = py::module_::import("numpy"); + py::array raw = np.attr("asarray")(x); + const char kind = raw.dtype().kind(); + if (kind != 'f' && kind != 'i' && kind != 'u') { + throw py::value_error("to_units takes physical numbers (got dtype " + std::string(py::str(raw.dtype())) + ")"); + } + return py::array_t::ensure(raw); +} - py::class_(m, "EdgeSelection") - .def(py::init<>()) - .def(py::init([](bool multi_edge, bool require_capacity, EdgeTieBreak tie_break, EdgePriority priority){ - EdgeSelection s; s.multi_edge = multi_edge; s.require_capacity = require_capacity; s.tie_break = tie_break; s.priority = priority; return s; - }), - py::kw_only(), - py::arg("multi_edge") = true, - py::arg("require_capacity") = false, - py::arg("tie_break") = EdgeTieBreak::Deterministic, - py::arg("priority") = EdgePriority::Residual) - .def_readwrite("multi_edge", &EdgeSelection::multi_edge) - .def_readwrite("require_capacity", &EdgeSelection::require_capacity) - .def_readwrite("tie_break", &EdgeSelection::tie_break) - .def_readwrite("priority", &EdgeSelection::priority); +// x * 2^k for an unbounded Python int, correctly rounded: Python's int shift and int true +// division are exact or correctly rounded, so only a result beyond the finite doubles fails. +double scaled_python_int(const py::object& x, int k) { + try { + py::object r; + if (k >= 0) { + r = py::float_(x.attr("__lshift__")(py::int_(k))); + } else { + r = x.attr("__truediv__")(py::int_(1).attr("__lshift__")(py::int_(-k))); + } + return r.cast(); + } catch (py::error_already_set& e) { + if (e.matches(PyExc_OverflowError)) { + throw py::value_error("as_float: " + std::string(py::str(x)) + + " units times the resolution exceed the largest finite double"); + } + throw; + } +} - py::enum_(m, "FlowPlacement") - .value("PROPORTIONAL", FlowPlacement::Proportional) - .value("EQUAL_BALANCED", FlowPlacement::EqualBalanced) - .value("EQUAL_BALANCED_LOSSY", FlowPlacement::EqualBalancedLossy); +// One Amount to a physical double; the resolution's exponent k is already validated. +double amount_as_float(const py::handle& item, int k, double resolution) { + py::object idx = python_int(item, "as_float: x"); + int overflow = 0; + const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); + if (overflow == 0) return as_float(static_cast(v), resolution); + return scaled_python_int(idx, k); +} - py::class_(m, "StrictMultiDiGraph") - .def_static( - "from_arrays", - [](std::int32_t num_nodes, - py::array src, py::array dst, - py::array capacity, py::array cost, - py::array ext_edge_ids) { - // public API: src/dst are int32; pass through as int32 to core - auto src_s = as_span(src, "src"); - auto dst_s = as_span(dst, "dst"); - if (src_s.size() != dst_s.size()) throw py::type_error("src and dst must have the same length"); - auto cap_s = as_span(capacity, "capacity"); - // Cost dtype must be int64 to match internal Cost type - auto cost_s = as_span(cost, "cost"); - // ext_edge_ids required: maps internal edge indices to caller's stable IDs - auto ext_s = as_span(ext_edge_ids, "ext_edge_ids"); - return StrictMultiDiGraph::from_arrays(num_nodes, - src_s, - dst_s, - cap_s, cost_s, ext_s); - }, - py::arg("num_nodes"), py::arg("src"), py::arg("dst"), py::arg("capacity"), py::arg("cost"), - py::arg("ext_edge_ids")) - .def("num_nodes", &StrictMultiDiGraph::num_nodes) - .def("num_edges", &StrictMultiDiGraph::num_edges) - .def("max_cost", &StrictMultiDiGraph::max_cost) - .def("cost_gcd", &StrictMultiDiGraph::cost_gcd) - .def("capacity_view", [](const StrictMultiDiGraph& g){ return copy_to_numpy(g.capacity_view()); }) - .def("edge_src_view", [](const StrictMultiDiGraph& g){ return copy_to_numpy(g.edge_src_view()); }) - .def("edge_dst_view", [](const StrictMultiDiGraph& g){ return copy_to_numpy(g.edge_dst_view()); }) - .def("ext_edge_ids_view", [](const StrictMultiDiGraph& g){ return copy_to_numpy(g.ext_edge_ids_view()); }) - .def("cost_view", [](const StrictMultiDiGraph& g){ return copy_to_numpy(g.cost_view()); }) - .def("row_offsets_view", [](const StrictMultiDiGraph& g){ return copy_to_numpy(g.row_offsets_view()); }) - .def("col_indices_view", [](const StrictMultiDiGraph& g){ return copy_to_numpy(g.col_indices_view()); }) - .def("adj_edge_index_view", [](const StrictMultiDiGraph& g){ return copy_to_numpy(g.adj_edge_index_view()); }) - .def("in_row_offsets_view", [](const StrictMultiDiGraph& g){ return copy_to_numpy(g.in_row_offsets_view()); }) - .def("in_col_indices_view", [](const StrictMultiDiGraph& g){ return copy_to_numpy(g.in_col_indices_view()); }) - .def("in_adj_edge_index_view", [](const StrictMultiDiGraph& g){ return copy_to_numpy(g.in_adj_edge_index_view()); }); +std::shared_ptr make_graph(const py::object& num_nodes, const py::object& src, + const py::object& dst, const py::object& capacity_units, + const py::object& cost, double resolution) { + // APPROACH 3 (revision 25): the resolution, the unit values, the shapes, zero or negative + // costs, the remaining bounds (ids in range, then the sums); every value is read without + // narrowing, and the messages are the constructor's, which re-checks the same order. + (void)resolution_exponent(resolution); + check_unit_values(capacity_units); + // The shapes: num_nodes, then every array argument rank 1 (in signature order), then equal + // lengths; no entry of src, dst or cost is read before the cost step. + const auto n = integer_value(num_nodes, 0, std::numeric_limits::max(), "num_nodes"); + const std::size_t m = sequence_length(src, "src"); + const std::size_t md = sequence_length(dst, "dst"); + const std::size_t mu = sequence_length(capacity_units, "capacity_units"); + const std::size_t mc = sequence_length(cost, "cost"); + if (md != m || mu != m || mc != m) { + throw py::value_error("src, dst, capacity_units and cost must have the same length (got " + + std::to_string(m) + ", " + std::to_string(md) + ", " + std::to_string(mu) + ", " + + std::to_string(mc) + ")"); + } + const auto cap = wide_integers(capacity_units, "capacity_units"); // rank 1, values checked + if (m > static_cast(std::numeric_limits::max())) { + throw py::value_error("the number of edges exceeds INT32_MAX (array length)"); + } + const auto w = wide_integers(cost, "cost"); + for (std::size_t i = 0; i < m; ++i) { + if (w.sign(i) < 0 || (w.sign(i) == 0 && w.value[i] < 1)) { + throw py::value_error("cost[" + std::to_string(i) + "] = " + w.text(i) + ": costs must be positive (cost >= 1)"); + } + } + const auto s = wide_integers(src, "src"); + const auto d = wide_integers(dst, "dst"); + for (std::size_t i = 0; i < m; ++i) { + if (!s.in(i, 0, n - 1) || !d.in(i, 0, n - 1)) { + throw py::value_error("edge " + std::to_string(i) + ": endpoint (" + s.text(i) + ", " + d.text(i) + + ") out of node range [0, " + std::to_string(n) + ")"); + } + } + constexpr auto kLimit = static_cast(kDomainLimit); + std::uint64_t cap_sum = 0; + std::uint64_t cost_sum = 0; + for (std::size_t i = 0; i < m; ++i) { + cap_sum += static_cast(cap.value[i]); // each below 2^62: no wrap before the check + if (cap_sum >= kLimit) { + throw py::value_error("the sum of all capacities reaches the bound of the units domain (2^62 units)"); + } + if (w.sign(i) > 0 || static_cast(w.value[i]) >= kLimit - cost_sum) { + throw py::value_error("the sum of all edge costs reaches the bound 2^62: path costs would overflow int64"); + } + cost_sum += static_cast(w.value[i]); + } + auto cap_v = cap.narrow(); + auto cost_v = w.narrow(); + auto src_v = s.narrow(); + auto dst_v = d.narrow(); + py::gil_scoped_release release; + return std::make_shared(static_cast(n), src_v, dst_v, cap_v, cost_v, resolution); +} - // Backend and Algorithms +py::list int_list(const std::vector& v) { + py::list out(v.size()); + for (std::size_t i = 0; i < v.size(); ++i) out[i] = py::int_(v[i]); + return out; +} - // Opaque wrapper types - py::class_(m, "Backend") - .def_static("cpu", [](){ return PyBackend{ make_cpu_backend() }; }); +} // namespace - py::class_(m, "Graph") - // Opaque holder; constructed via Algorithms.build_graph - .def_property_readonly("num_nodes", [](const PyGraph& pg){ return pg.num_nodes; }) - .def_property_readonly("num_edges", [](const PyGraph& pg){ return pg.num_edges; }); +PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { + m.doc() = "NetGraph-Core: the graph on integer units and the minimum-cost flow core"; - py::class_>(m, "Algorithms") - .def(py::init([](const PyBackend& b){ return std::make_shared(b.impl); }), py::arg("backend")) - .def("build_graph", [](const Algorithms& algs, py::object graph_obj){ - // graph_obj is py::object so PyGraph can keep it alive; check the type - // explicitly, since a bare .cast<> failure surfaces as an opaque - // "RuntimeError: Unable to cast ... to C++ type '?'". - if (!py::isinstance(graph_obj)) { - throw py::type_error("build_graph: graph must be a StrictMultiDiGraph"); - } - const StrictMultiDiGraph& g = graph_obj.cast(); - auto gh = algs.build_graph(g); - // Keep the Python graph object alive alongside the handle when - // referencing a non-owned graph instance. - return PyGraph{ gh, graph_obj, g.num_nodes(), g.num_edges() }; - }, py::arg("graph")) - .def("spf", [](const Algorithms& algs, const PyGraph& pg, std::int32_t src, - py::object dst, py::object selection_obj, py::object residual_obj, - py::object node_mask, py::object edge_mask, bool multipath, std::string dtype) -> py::tuple { - if (src < 0 || src >= pg.num_nodes) throw py::value_error("src out of range"); - SpfOptions opts; if (!selection_obj.is_none()) opts.selection = py::cast(selection_obj); - if (!dst.is_none()) { auto d = py::cast(dst); if (d < 0 || d >= pg.num_nodes) throw py::value_error("dst out of range"); opts.dst = static_cast(d); } - std::vector residual_vec; - if (!residual_obj.is_none()) { - auto arr = py::cast(residual_obj); - if (!(arr.flags() & py::array::c_style)) throw py::type_error("residual must be C-contiguous (np.ascontiguousarray)"); - auto buf = arr.request(); - if (buf.ndim != 1 || buf.format != py::format_descriptor::format()) throw py::type_error("residual must be 1-D float64"); - // Check length here so this matches the TypeError raised by every other - // length check (masks, FlowState residual); otherwise the core throws - // std::invalid_argument, which reaches Python as ValueError. - if (static_cast(buf.shape[0]) != pg.num_edges) { - throw py::type_error("residual length must equal " + std::to_string(pg.num_edges)); + m.def( + "to_units", + [](const py::object& x, double resolution) -> py::object { + (void)resolution_exponent(resolution); // before the shape: an empty array is no exemption + auto arr = physical_array(x); + if (arr.ndim() == 0) return py::int_(to_units(*arr.data(), resolution)); + if (arr.ndim() != 1) throw py::value_error("to_units takes a float or a 1-D array of floats"); + py::array_t out(arr.size()); + auto in = arr.unchecked<1>(); + auto o = out.mutable_unchecked<1>(); + for (py::ssize_t i = 0; i < in.shape(0); ++i) o(i) = to_units(in(i), resolution); + return std::move(out); + }, + py::arg("x"), py::arg("resolution"), + "Physical value(s) to units of the resolution q, rounding half up: an int for a scalar, an\n" + "int64 array for an array. NaN, infinity, negative values and results at or above 2^62\n" + "units raise ValueError; q must be a power of two in [2^-32, 2^32]."); + + m.def( + "as_float", + [](const py::object& x, double resolution) -> py::object { + const int k = resolution_exponent(resolution); // before the shape (review-1a D3) + const bool array = py::isinstance(x) && py::reinterpret_borrow(x).ndim() > 0; + if (array || !not_a_sequence(x)) { + const auto v = wide_integers(x, "as_float: x"); + py::array_t out(static_cast(v.size())); + auto o = out.mutable_unchecked<1>(); + for (std::size_t i = 0; i < v.size(); ++i) { + o(static_cast(i)) = v.sign(i) == 0 ? as_float(v.value[i], resolution) + : amount_as_float(v.source[py::int_(i)], k, resolution); } - residual_vec.resize(static_cast(buf.shape[0])); - std::memcpy(residual_vec.data(), buf.ptr, residual_vec.size()*sizeof(double)); - opts.residual = std::span(residual_vec.data(), residual_vec.size()); + return std::move(out); } - auto node_bs = to_bool_span_from_numpy(node_mask, static_cast(pg.num_nodes), "node_mask"); - auto edge_bs = to_bool_span_from_numpy(edge_mask, static_cast(pg.num_edges), "edge_mask"); - opts.node_mask = node_bs.view; - opts.edge_mask = edge_bs.view; - opts.multipath = multipath; - py::gil_scoped_release rel; auto res = algs.spf(pg.handle, src, opts); py::gil_scoped_acquire acq; - auto maxc = std::numeric_limits::max(); - if (dtype == "int64") { - py::array_t dist_arr(res.first.size()); - auto* out = dist_arr.mutable_data(); - for (std::size_t i=0;i(maxc) : static_cast(res.first[i]); - return py::make_tuple(std::move(dist_arr), std::move(res.second)); - } else if (dtype == "float64") { - py::array_t dist_arr(res.first.size()); - auto* out = dist_arr.mutable_data(); - for (std::size_t i=0;i::infinity() : static_cast(res.first[i]); - return py::make_tuple(std::move(dist_arr), std::move(res.second)); - } else { - throw py::value_error("dtype must be 'float64' or 'int64'"); + return py::float_(amount_as_float(x, k, resolution)); + }, + py::arg("x"), py::arg("resolution"), + "Units to physical value(s): x * q, correctly rounded (exact below 2^53 units). An int, of\n" + "any size, gives a float, an integer array a float64 array; a result beyond the finite\n" + "doubles raises ValueError; q must be a power of two in [2^-32, 2^32]."); + + py::class_>( + m, "Eligibility", + "Immutable, graph-bound static eligibility: dense node and edge flags. Built by\n" + "StrictMultiDiGraph.eligibility(excluded_nodes, excluded_edges).") + .def("graph_uid", &Eligibility::graph_uid, "uid of the graph this value belongs to") + .def("uid", &Eligibility::uid, "0 for the all-allowed value, a fresh uid otherwise") + .def( + "node_allowed", + [](const py::object& self) { + const auto& el = self.cast(); + return readonly_view(el.node_allowed(), self, py::dtype("bool")); + }, + "bool[N] read-only view") + .def( + "edge_allowed", + [](const py::object& self) { + const auto& el = self.cast(); + return readonly_view(el.edge_allowed(), self, py::dtype("bool")); + }, + "bool[E] read-only view (not excluded and both endpoints allowed)"); + + py::class_>( + m, "StrictMultiDiGraph", + "Immutable directed multigraph on integer units. Edges are given in input order; the\n" + "public EdgeId is the rank in the stable order (src, cost, dst, input), input_index()[e]\n" + "is the input position of e, and every other per-edge array is in id order. Costs are\n" + "positive integers; capacities are int64 units of the explicit resolution q (a power of\n" + "two in [2^-32, 2^32]); physical capacities enter through to_units.") + .def(py::init(&make_graph), py::arg("num_nodes"), py::arg("src"), py::arg("dst"), + py::arg("capacity_units"), py::arg("cost"), py::arg("resolution"), + "Validates, in order, and reports the first defect as ValueError: the resolution (a power of\n" + "two in [2^-32, 2^32]), the unit values (every capacity in [0, 2^62)), the array shapes,\n" + "zero or negative costs (rule 28), the remaining bounds (endpoints in range, then the\n" + "capacity and cost sums below 2^62). Integers are read without narrowing, so the error\n" + "does not depend on how the input is represented (APPROACH 3).") + .def("uid", &StrictMultiDiGraph::uid, "process-unique id (never reused)") + .def("resolution", &StrictMultiDiGraph::resolution, "the resolution q (units of capacity)") + .def("num_nodes", &StrictMultiDiGraph::num_nodes) + .def("num_edges", &StrictMultiDiGraph::num_edges) + .def("max_cost", &StrictMultiDiGraph::max_cost, "largest edge cost (0 without edges)") + .def("cost_gcd", &StrictMultiDiGraph::cost_gcd, "gcd of the edge costs (0 without edges)") + .def( + "capacity_units", [](const py::object& self) { + const auto& g = self.cast(); + return readonly_view(g.capacity_units(), self); + }, + "int64[E] capacities in units, id order (read-only view)") + .def( + "cost", [](const py::object& self) { + const auto& g = self.cast(); + return readonly_view(g.cost(), self); + }, + "int64[E] costs, id order (read-only view)") + .def( + "edge_src", [](const py::object& self) { + const auto& g = self.cast(); + return readonly_view(g.edge_src(), self); + }, + "int32[E] source node per edge (read-only view)") + .def( + "edge_dst", [](const py::object& self) { + const auto& g = self.cast(); + return readonly_view(g.edge_dst(), self); + }, + "int32[E] destination node per edge (read-only view)") + .def( + "input_index", [](const py::object& self) { + const auto& g = self.cast(); + return readonly_view(g.input_index(), self); + }, + "int32[E]: id -> input position (read-only view); the inverse is the caller's") + .def( + "row_offsets", [](const py::object& self) { + const auto& g = self.cast(); + return readonly_view(g.row_offsets(), self); + }, + "int32[N + 1]: the out-edges of u are the ids [row_offsets[u], row_offsets[u + 1])") + .def( + "in_row_offsets", [](const py::object& self) { + const auto& g = self.cast(); + return readonly_view(g.in_row_offsets(), self); + }, + "int32[N + 1] reverse CSR offsets") + .def( + "in_adj_edge_index", [](const py::object& self) { + const auto& g = self.cast(); + return readonly_view(g.in_adj_edge_index(), self); + }, + "int32[E]: the in-edges of v in (cost, src, input) order, as EdgeIds") + .def( + "eligibility", + [](const StrictMultiDiGraph& g, const py::object& excluded_nodes, const py::object& excluded_edges) { + // Nodes, then edges, each range-checked before narrowing (the constructor's order). + const auto xn = wide_integers(excluded_nodes, "excluded_nodes"); + for (std::size_t i = 0; i < xn.size(); ++i) { + if (!xn.in(i, 0, static_cast(g.num_nodes()) - 1)) { + throw py::value_error("excluded node " + xn.text(i) + " out of node range [0, " + + std::to_string(g.num_nodes()) + ")"); + } + } + const auto xe = wide_integers(excluded_edges, "excluded_edges"); + for (std::size_t i = 0; i < xe.size(); ++i) { + if (!xe.in(i, 0, static_cast(g.num_edges()) - 1)) { + throw py::value_error("excluded edge " + xe.text(i) + " out of edge range [0, " + + std::to_string(g.num_edges()) + ")"); + } + } + return std::make_shared(g.eligibility(xn.narrow(), xe.narrow())); + }, + py::arg("excluded_nodes") = py::tuple(), py::arg("excluded_edges") = py::tuple(), + "Static eligibility from excluded node ids and EdgeIds (duplicates and unsorted lists\n" + "accepted, out-of-range ids rejected); an edge is allowed when it is not excluded and\n" + "both endpoints are allowed. Empty lists mean all allowed (uid 0)."); + + m.def( + "_place_global_units", + [](const std::shared_ptr& graph, const py::object& view, const py::object& sources, + const py::object& destinations, const std::shared_ptr& elig, + const py::object& cap) -> py::dict { + if (!graph) throw py::value_error("graph must be a StrictMultiDiGraph"); + // The core's order (view length, view entries, sources, destinations, overlap, cap, + // Eligibility), every value checked before narrowing; the core re-checks the same order. + const auto num_edges = static_cast(graph->num_edges()); + const std::size_t view_len = sequence_length(view, "view"); + if (view_len != num_edges) { + throw py::value_error("view has length " + std::to_string(view_len) + ", expected " + + std::to_string(num_edges) + " (one entry per edge)"); } - }, py::arg("graph"), py::arg("src"), py::arg("dst") = py::none(), py::kw_only(), py::arg("selection") = py::none(), py::arg("residual") = py::none(), py::arg("node_mask") = py::none(), py::arg("edge_mask") = py::none(), py::arg("multipath") = true, py::arg("dtype") = "float64") - .def("spf_to", [](const Algorithms& algs, const PyGraph& pg, std::int32_t dst, - py::object selection_obj, py::object residual_obj, - py::object node_mask, py::object edge_mask, bool multipath, - py::object fanout_obj, std::string dtype) -> py::tuple { - if (dst < 0 || dst >= pg.num_nodes) throw py::value_error("dst out of range"); - SpfToOptions opts; if (!selection_obj.is_none()) opts.selection = py::cast(selection_obj); - std::vector residual_vec; - if (!residual_obj.is_none()) { - auto arr = py::cast(residual_obj); - if (!(arr.flags() & py::array::c_style)) throw py::type_error("residual must be C-contiguous (np.ascontiguousarray)"); - auto buf = arr.request(); - if (buf.ndim != 1 || buf.format != py::format_descriptor::format()) throw py::type_error("residual must be 1-D float64"); - if (static_cast(buf.shape[0]) != pg.num_edges) { - throw py::type_error("residual length must equal " + std::to_string(pg.num_edges)); + const auto v = wide_integers(view, "view (capacity units)"); + const auto capacity = graph->capacity_units(); + for (std::size_t e = 0; e < num_edges; ++e) { + if (!v.in(e, 0, capacity[e])) { + throw py::value_error("view[" + std::to_string(e) + "] = " + v.text(e) + " is outside [0, capacity_units[" + + std::to_string(e) + "] = " + std::to_string(capacity[e]) + "]"); } - residual_vec.resize(static_cast(buf.shape[0])); - std::memcpy(residual_vec.data(), buf.ptr, residual_vec.size()*sizeof(double)); - opts.residual = std::span(residual_vec.data(), residual_vec.size()); } - std::vector fanout_vec; - if (!fanout_obj.is_none()) { - for (auto item : py::iterable(fanout_obj)) { - auto e = py::cast(item); - if (e < 0 || e >= pg.num_edges) throw py::value_error("fanout edge id out of range"); - fanout_vec.push_back(static_cast(e)); + const auto endpoints = [&](const py::object& obj, const char* name) { + const auto ids = wide_integers(obj, (std::string(name) + " node ids").c_str()); + if (ids.size() == 0) throw py::value_error(std::string(name) + ": the endpoint set is empty"); + for (std::size_t i = 0; i < ids.size(); ++i) { + if (!ids.in(i, 0, static_cast(graph->num_nodes()) - 1)) { + throw py::value_error(std::string(name) + ": node " + ids.text(i) + " out of node range [0, " + + std::to_string(graph->num_nodes()) + ")"); + } } - opts.fanout_edges = std::span(fanout_vec.data(), fanout_vec.size()); - } - auto node_bs = to_bool_span_from_numpy(node_mask, static_cast(pg.num_nodes), "node_mask"); - auto edge_bs = to_bool_span_from_numpy(edge_mask, static_cast(pg.num_edges), "edge_mask"); - opts.node_mask = node_bs.view; - opts.edge_mask = edge_bs.view; - opts.multipath = multipath; - py::gil_scoped_release rel; auto res = algs.spf_to(pg.handle, dst, opts); py::gil_scoped_acquire acq; - auto maxc = std::numeric_limits::max(); - if (dtype == "int64") { - py::array_t dist_arr(res.first.size()); - auto* out = dist_arr.mutable_data(); - for (std::size_t i=0;i(maxc) : static_cast(res.first[i]); - return py::make_tuple(std::move(dist_arr), std::move(res.second)); - } else if (dtype == "float64") { - py::array_t dist_arr(res.first.size()); - auto* out = dist_arr.mutable_data(); - for (std::size_t i=0;i::infinity() : static_cast(res.first[i]); - return py::make_tuple(std::move(dist_arr), std::move(res.second)); - } else { - throw py::value_error("dtype must be 'float64' or 'int64'"); - } - }, py::arg("graph"), py::arg("dst"), py::kw_only(), py::arg("selection") = py::none(), py::arg("residual") = py::none(), py::arg("node_mask") = py::none(), py::arg("edge_mask") = py::none(), py::arg("multipath") = true, py::arg("fanout_edges") = py::none(), py::arg("dtype") = "float64", - "Shortest paths from every node to dst (reverse SPF). Returns (distances_to_dst, dag); the DAG is forward-oriented and valid for placement from any node toward dst. fanout_edges are added to the DAG regardless of cost (see shortest_paths.hpp).") - .def("ksp", [](const Algorithms& algs, const PyGraph& pg, std::int32_t src, std::int32_t dst, - int k, py::object max_cost_factor, bool unique, py::object node_mask, py::object edge_mask, std::string dtype){ - if (src < 0 || src >= pg.num_nodes || dst < 0 || dst >= pg.num_nodes) throw py::value_error("src/dst out of range"); - if (k <= 0) throw py::value_error("k must be >= 1"); - if (dtype != "float64" && dtype != "int64") throw py::value_error("dtype must be 'float64' or 'int64'"); - KspOptions opts; opts.k = k; opts.unique = unique; if (!max_cost_factor.is_none()) opts.max_cost_factor = py::cast(max_cost_factor); - auto node_bs = to_bool_span_from_numpy(node_mask, static_cast(pg.num_nodes), "node_mask"); - auto edge_bs = to_bool_span_from_numpy(edge_mask, static_cast(pg.num_edges), "edge_mask"); - opts.node_mask = node_bs.view; opts.edge_mask = edge_bs.view; - py::gil_scoped_release rel; auto items = algs.ksp(pg.handle, src, dst, opts); py::gil_scoped_acquire acq; - py::list out; - auto maxc = std::numeric_limits::max(); - for (auto& pr : items) { - auto& dist = pr.first; - if (dtype == "int64") { - py::array_t dist_arr(dist.size()); - auto* outp = dist_arr.mutable_data(); - for (std::size_t i=0;i(maxc) : static_cast(dist[i]); - out.append(py::make_tuple(std::move(dist_arr), pr.second)); - } else if (dtype == "float64") { - py::array_t dist_arr(dist.size()); - auto* outp = dist_arr.mutable_data(); - for (std::size_t i=0;i::infinity() : static_cast(dist[i]); - out.append(py::make_tuple(std::move(dist_arr), pr.second)); + return ids.narrow(); + }; + const auto s = endpoints(sources, "sources"); + const auto d = endpoints(destinations, "destinations"); + std::vector ss(s); + std::vector dd(d); + std::sort(ss.begin(), ss.end()); + std::sort(dd.begin(), dd.end()); + for (std::size_t i = 0, k = 0; i < ss.size() && k < dd.size();) { + if (ss[i] == dd[k]) { + throw py::value_error("node " + std::to_string(ss[i]) + + " is in both endpoint sets: sources and destinations must not overlap"); } + if (ss[i] < dd[k]) ++i; else ++k; } - return out; - }, py::arg("graph"), py::arg("src"), py::arg("dst"), py::kw_only(), py::arg("k"), py::arg("max_cost_factor") = py::none(), py::arg("unique") = true, py::arg("node_mask") = py::none(), py::arg("edge_mask") = py::none(), py::arg("dtype") = "float64") - .def("max_flow", [](const Algorithms& algs, const PyGraph& pg, std::int32_t src, std::int32_t dst, - FlowPlacement placement, bool shortest_path, bool require_capacity, bool with_edge_flows, bool with_reachable, bool with_residuals, - py::object node_mask, py::object edge_mask){ - if (src < 0 || src >= pg.num_nodes || dst < 0 || dst >= pg.num_nodes) throw py::value_error("src/dst out of range"); - MaxFlowOptions o; o.placement = placement; o.shortest_path = shortest_path; o.require_capacity = require_capacity; o.with_edge_flows = with_edge_flows; o.with_reachable = with_reachable; o.with_residuals = with_residuals; - auto node_bs = to_bool_span_from_numpy(node_mask, static_cast(pg.num_nodes), "node_mask"); - auto edge_bs = to_bool_span_from_numpy(edge_mask, static_cast(pg.num_edges), "edge_mask"); - o.node_mask = node_bs.view; o.edge_mask = edge_bs.view; - py::gil_scoped_release rel; auto res = algs.max_flow(pg.handle, src, dst, o); py::gil_scoped_acquire acq; return res; - }, py::arg("graph"), py::arg("src"), py::arg("dst"), py::kw_only(), py::arg("flow_placement") = FlowPlacement::Proportional, py::arg("shortest_path") = false, py::arg("require_capacity") = true, py::arg("with_edge_flows") = false, py::arg("with_reachable") = false, py::arg("with_residuals") = false, py::arg("node_mask") = py::none(), py::arg("edge_mask") = py::none()) - .def("batch_max_flow", [](const Algorithms& algs, const PyGraph& pg, py::array pairs, - py::object node_masks, py::object edge_masks, - FlowPlacement placement, bool shortest_path, bool require_capacity, - bool with_edge_flows, bool with_reachable, bool with_residuals){ - // Check the dtype, not the buffer format string: NumPy spells int32 as - // NPY_LONG ('l') on LLP64 (Windows) and NPY_INT ('i') on LP64, while - // format_descriptor is always 'i'. Comparing format strings - // therefore rejects a genuine int32 array on Windows. isinstance uses - // dtype equivalence, matching as_span() above. - if (!py::isinstance>(pairs)) throw py::type_error("pairs dtype must be int32"); - if (!(pairs.flags() & py::array::c_style)) throw py::type_error("pairs must be C-contiguous (use np.ascontiguousarray)"); - auto buf = pairs.request(); - if (buf.ndim != 2 || buf.shape[1] != 2) throw py::type_error("pairs must be shape [B,2]"); - const std::size_t B = static_cast(buf.shape[0]); - std::vector> pp; pp.reserve(B); - auto* p = static_cast(buf.ptr); - for (std::size_t i=0;i= pg.num_nodes || - pp[i].second < 0 || pp[i].second >= pg.num_nodes) { - throw py::value_error("pairs[" + std::to_string(i) + "] has a src/dst out of range"); + std::optional c; + if (!cap.is_none()) { + if (is_bool(cap) || !PyIndex_Check(cap.ptr())) { + throw py::value_error("cap must be an integer number of units in [0, 2^63 - 2] or None"); } - } - std::vector node_bufs, edge_bufs; - std::vector> node_spans; std::vector> edge_spans; - auto parse_mask_list = [&](py::object list_obj, std::size_t expected_len, const char* what, - std::vector& bufs, std::vector>& spans) { - if (list_obj.is_none()) return; - auto seq = py::cast(list_obj); - if (static_cast(py::len(seq)) != B) - throw py::type_error(std::string(what) + " length must equal number of pairs"); - bufs.reserve(B); spans.reserve(B); - for (auto item : seq) { - auto bs = to_bool_span_from_numpy(item, expected_len, what); - spans.push_back(bs.view); - bufs.push_back(std::move(bs)); // keep storage alive across GIL release + py::object idx = python_int(cap, "cap"); + int overflow = 0; + const long long value = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); + if (overflow != 0 || value < 0 || value > kMaxFlowCap) { + throw py::value_error("cap " + std::string(py::str(idx)) + " is outside [0, 2^63 - 2]"); } - }; - parse_mask_list(node_masks, static_cast(pg.num_nodes), "node_masks", node_bufs, node_spans); - parse_mask_list(edge_masks, static_cast(pg.num_edges), "edge_masks", edge_bufs, edge_spans); - MaxFlowOptions o; o.placement = placement; o.shortest_path = shortest_path; o.require_capacity = require_capacity; o.with_edge_flows = with_edge_flows; o.with_reachable = with_reachable; o.with_residuals = with_residuals; - py::gil_scoped_release rel; auto out = algs.batch_max_flow(pg.handle, pp, o, node_spans, edge_spans); py::gil_scoped_acquire acq; return out; - }, py::arg("graph"), py::arg("pairs"), py::kw_only(), py::arg("node_masks") = py::none(), py::arg("edge_masks") = py::none(), py::arg("flow_placement") = FlowPlacement::Proportional, py::arg("shortest_path") = false, py::arg("require_capacity") = true, py::arg("with_edge_flows") = false, py::arg("with_reachable") = false, py::arg("with_residuals") = false) - .def("sensitivity_analysis", [](const Algorithms& algs, const PyGraph& pg, std::int32_t src, std::int32_t dst, - FlowPlacement placement, bool shortest_path, bool require_capacity, - py::object node_mask, py::object edge_mask){ - if (src < 0 || src >= pg.num_nodes || dst < 0 || dst >= pg.num_nodes) throw py::value_error("src/dst out of range"); - MaxFlowOptions o; o.placement = placement; o.shortest_path = shortest_path; o.require_capacity = require_capacity; - auto node_bs = to_bool_span_from_numpy(node_mask, static_cast(pg.num_nodes), "node_mask"); - auto edge_bs = to_bool_span_from_numpy(edge_mask, static_cast(pg.num_edges), "edge_mask"); - o.node_mask = node_bs.view; o.edge_mask = edge_bs.view; - py::gil_scoped_release rel; auto res = algs.sensitivity_analysis(pg.handle, src, dst, o); py::gil_scoped_acquire acq; - // Return as list of tuples (EdgeId, FlowDelta) - py::list out; - for (auto const& pr : res) { - out.append(py::make_tuple(pr.first, pr.second)); + c = static_cast(value); } - return out; - }, py::arg("graph"), py::arg("src"), py::arg("dst"), py::kw_only(), py::arg("flow_placement") = FlowPlacement::Proportional, py::arg("shortest_path") = false, py::arg("require_capacity") = true, py::arg("node_mask") = py::none(), py::arg("edge_mask") = py::none()); - - py::class_(m, "PredDAG") - .def_property_readonly("parent_offsets", [](const PredDAG& d){ - return copy_to_numpy(std::span(d.parent_offsets.data(), d.parent_offsets.size())); - }) - .def_property_readonly("parents", [](const PredDAG& d){ - return copy_to_numpy(std::span(d.parents.data(), d.parents.size())); - }) - .def_property_readonly("via_edges", [](const PredDAG& d){ - return copy_to_numpy(std::span(d.via_edges.data(), d.via_edges.size())); - }) - .def_static("from_hops", [](const StrictMultiDiGraph& g, py::sequence hops){ - std::vector> h; - h.reserve(static_cast(py::len(hops))); - for (auto hop : hops) { - std::vector edges; - for (auto e : py::cast(hop)) edges.push_back(py::cast(e)); - h.push_back(std::move(edges)); + FlowCoreResult r; + { + py::gil_scoped_release release; + const auto view_units = v.narrow(); + r = place_global_units(*graph, view_units, s, d, elig.get(), c); } - return make_hops_dag(g, h); - }, py::arg("graph"), py::arg("hops")) - .def_static("from_edges", [](const StrictMultiDiGraph& g, py::sequence edges){ - std::vector e; - e.reserve(py::len(edges)); - for (auto item : edges) e.push_back(py::cast(item)); - return make_path_dag(g, e); - }, py::arg("graph"), py::arg("edges"), - "Build a single-path PredDAG from a contiguous edge-id sequence.\n" - "Validates that each edge exists, consecutive edges connect, and the walk " - "is a simple path. The result works anywhere a PredDAG is accepted " - "(place_on_dag, FlowGraph.place, FlowPolicy.set_static_paths).") - .def("resolve_to_paths", [](const PredDAG& dag, std::int32_t src, std::int32_t dst, bool split_parallel_edges, py::object max_paths){ - std::optional mp; - if (!max_paths.is_none()) mp = py::cast(max_paths); - auto out = netgraph::core::resolve_to_paths(dag, src, dst, split_parallel_edges, mp); - py::list paths; - for (auto& path : out) { - py::list py_elems; - for (auto& pr : path) { - py::tuple edge_tuple(pr.second.size()); - for (std::size_t i=0;i(m, "MinCut") - .def_property_readonly("edges", [](const MinCut& mc){ - return copy_to_numpy(std::span(mc.edges.data(), mc.edges.size())); - }); - - py::class_(m, "FlowSummary") - .def_readonly("total_flow", &FlowSummary::total_flow) - .def_readonly("min_cut", &FlowSummary::min_cut) - .def_property_readonly("costs", [](const FlowSummary& s){ - return copy_to_numpy(std::span(s.costs.data(), s.costs.size())); - }) - .def_property_readonly("flows", [](const FlowSummary& s){ - return copy_to_numpy(std::span(s.flows.data(), s.flows.size())); - }) - .def_property_readonly("edge_flows", [](const FlowSummary& s){ - return copy_to_numpy(std::span(s.edge_flows.data(), s.edge_flows.size())); - }) - .def_property_readonly("residual_capacity", [](const FlowSummary& s){ - return copy_to_numpy(std::span(s.residual_capacity.data(), s.residual_capacity.size())); - }) - .def_property_readonly("reachable_nodes", [](const FlowSummary& s){ - // Store as bool array for Python; cast bytes to bool - py::array_t arr(s.reachable_nodes.size()); - auto* out = arr.mutable_data(); - for (std::size_t i=0;i(s.reachable_nodes[i]); - return arr; - }); - - // FlowState bindings - py::class_(m, "FlowState") - .def(py::init([](const StrictMultiDiGraph& g){ return FlowState(g); }), - py::arg("graph"), py::keep_alive<1, 2>()) - .def(py::init([](const StrictMultiDiGraph& g, py::array residual){ - if (!(py::isinstance>(residual))) throw py::type_error("residual must be a numpy float64 array"); - if (!(residual.flags() & py::array::c_style)) throw py::type_error("residual must be C-contiguous"); - auto buf = residual.request(); - if (buf.ndim != 1 || static_cast(buf.shape[0]) != static_cast(g.num_edges())) throw py::type_error("residual length must equal num_edges"); - std::span rspan(static_cast(buf.ptr), static_cast(buf.shape[0])); - return FlowState(g, rspan); - }), py::arg("graph"), py::arg("residual"), py::keep_alive<1, 2>()) - .def("reset", [](FlowState& fs){ fs.reset(); }) - .def("reset", [](FlowState& fs, py::array residual){ - if (!(py::isinstance>(residual))) throw py::type_error("residual must be a numpy float64 array"); - if (!(residual.flags() & py::array::c_style)) throw py::type_error("residual must be C-contiguous"); - auto buf = residual.request(); - if (buf.ndim != 1 || static_cast(buf.shape[0]) != static_cast(fs.capacity_view().size())) throw py::type_error("residual length must equal num_edges"); - std::span rspan(static_cast(buf.ptr), static_cast(buf.shape[0])); - fs.reset(rspan); - }) - .def("capacity_view", [](py::object self_obj){ - const FlowState& fs = py::cast(self_obj); - auto s = fs.capacity_view(); - py::array view(py::buffer_info(const_cast(s.data()), sizeof(double), py::format_descriptor::format(), 1, { s.size() }, { sizeof(double) }), self_obj); - view.attr("setflags")(py::arg("write") = false); - return view; - }) - .def("residual_view", [](py::object self_obj){ - const FlowState& fs = py::cast(self_obj); - auto s = fs.residual_view(); - py::array view(py::buffer_info(const_cast(s.data()), sizeof(double), py::format_descriptor::format(), 1, { s.size() }, { sizeof(double) }), self_obj); - view.attr("setflags")(py::arg("write") = false); - return view; - }) - .def("edge_flow_view", [](py::object self_obj){ - const FlowState& fs = py::cast(self_obj); - auto s = fs.edge_flow_view(); - py::array view(py::buffer_info(const_cast(s.data()), sizeof(double), py::format_descriptor::format(), 1, { s.size() }, { sizeof(double) }), self_obj); - view.attr("setflags")(py::arg("write") = false); - return view; - }) - .def("place_on_dag", [](FlowState& fs, std::int32_t src, std::int32_t dst, const PredDAG& dag, double requested_flow, FlowPlacement placement){ - py::gil_scoped_release rel; auto placed = fs.place_on_dag(src, dst, dag, requested_flow, placement); py::gil_scoped_acquire acq; return placed; - }, py::arg("src"), py::arg("dst"), py::arg("dag"), py::arg("requested_flow") = std::numeric_limits::infinity(), py::arg("flow_placement") = FlowPlacement::Proportional) - .def("place_max_flow", [](py::object self_obj, std::int32_t src, std::int32_t dst, - FlowPlacement placement, bool shortest_path, bool require_capacity, - py::object node_mask, py::object edge_mask){ - FlowState& fs = py::cast(self_obj); - const StrictMultiDiGraph& g = fs.graph(); - auto node_bs = to_bool_span_from_numpy(node_mask, static_cast(g.num_nodes()), "node_mask"); - auto edge_bs = to_bool_span_from_numpy(edge_mask, static_cast(g.num_edges()), "edge_mask"); - py::gil_scoped_release rel; - auto total = fs.place_max_flow(src, dst, placement, shortest_path, require_capacity, - node_bs.view, edge_bs.view); - py::gil_scoped_acquire acq; - return total; - }, py::arg("src"), py::arg("dst"), - py::arg("flow_placement") = FlowPlacement::Proportional, - py::arg("shortest_path") = false, py::arg("require_capacity") = true, - py::kw_only(), py::arg("node_mask") = py::none(), py::arg("edge_mask") = py::none()) - .def("compute_min_cut", [](py::object self_obj, std::int32_t src, py::object node_mask, py::object edge_mask){ - const FlowState& fs = py::cast(self_obj); - const StrictMultiDiGraph& g = fs.graph(); - auto node_bs = to_bool_span_from_numpy(node_mask, static_cast(g.num_nodes()), "node_mask"); - auto edge_bs = to_bool_span_from_numpy(edge_mask, static_cast(g.num_edges()), "edge_mask"); - py::gil_scoped_release rel; - auto mc = fs.compute_min_cut(src, node_bs.view, edge_bs.view); - py::gil_scoped_acquire acq; - return mc; - }, py::arg("src"), py::kw_only(), py::arg("node_mask") = py::none(), py::arg("edge_mask") = py::none()); - - // FlowIndex and FlowGraph bindings - py::class_(m, "FlowIndex") - .def(py::init()) - .def_readonly("src", &FlowIndex::src) - .def_readonly("dst", &FlowIndex::dst) - .def_readonly("flowClass", &FlowIndex::flowClass) - .def_readonly("flowId", &FlowIndex::flowId); - - py::class_(m, "FlowGraph") - .def(py::init([](const StrictMultiDiGraph& g){ return FlowGraph(g); }), - py::arg("graph"), py::keep_alive<1, 2>()) - .def("capacity_view", [](py::object self_obj){ - const FlowGraph& fg = py::cast(self_obj); - auto s = fg.capacity_view(); - py::array view(py::buffer_info(const_cast(s.data()), sizeof(double), py::format_descriptor::format(), 1, { s.size() }, { sizeof(double) }), self_obj); - view.attr("setflags")(py::arg("write") = false); - return view; - }) - .def("residual_view", [](py::object self_obj){ - const FlowGraph& fg = py::cast(self_obj); - auto s = fg.residual_view(); - py::array view(py::buffer_info(const_cast(s.data()), sizeof(double), py::format_descriptor::format(), 1, { s.size() }, { sizeof(double) }), self_obj); - view.attr("setflags")(py::arg("write") = false); - return view; - }) - .def("edge_flow_view", [](py::object self_obj){ - const FlowGraph& fg = py::cast(self_obj); - auto s = fg.edge_flow_view(); - py::array view(py::buffer_info(const_cast(s.data()), sizeof(double), py::format_descriptor::format(), 1, { s.size() }, { sizeof(double) }), self_obj); - view.attr("setflags")(py::arg("write") = false); - return view; - }) - .def_property_readonly("graph", [](const FlowGraph& fg){ return &fg.graph(); }, py::return_value_policy::reference_internal) - .def("place", [](FlowGraph& fg, const FlowIndex& idx, std::int32_t src, std::int32_t dst, const PredDAG& dag, double amount, FlowPlacement placement){ py::gil_scoped_release rel; auto placed = fg.place(idx, src, dst, dag, amount, placement); py::gil_scoped_acquire acq; return placed; }, py::arg("index"), py::arg("src"), py::arg("dst"), py::arg("dag"), py::arg("amount"), py::arg("flow_placement") = FlowPlacement::Proportional) - .def("place_with_drops", [](FlowGraph& fg, const FlowIndex& idx, std::int32_t src, std::int32_t dst, const PredDAG& dag, double amount, FlowPlacement placement){ - std::vector> drops; - double placed; - { py::gil_scoped_release rel; placed = fg.place(idx, src, dst, dag, amount, placement, &drops); } - py::list out; for (auto const& pr : drops) out.append(py::make_tuple(pr.first, pr.second)); - return py::make_tuple(placed, out); - }, py::arg("index"), py::arg("src"), py::arg("dst"), py::arg("dag"), py::arg("amount"), py::arg("flow_placement") = FlowPlacement::EqualBalancedLossy, - "Like place(), but also returns the per-edge dropped volume as a list of (edge_id, dropped) pairs. Only EQUAL_BALANCED_LOSSY drops flow; other placements return an empty list.") - .def("remove", [](FlowGraph& fg, const FlowIndex& idx){ py::gil_scoped_release rel; fg.remove(idx); py::gil_scoped_acquire acq; }) - .def("remove_by_class", [](FlowGraph& fg, std::int32_t cls){ py::gil_scoped_release rel; fg.remove_by_class(cls); py::gil_scoped_acquire acq; }) - .def("reset", [](FlowGraph& fg){ py::gil_scoped_release rel; fg.reset(); py::gil_scoped_acquire acq; }) - .def("get_flow_edges", [](const FlowGraph& fg, const FlowIndex& idx){ auto v = fg.get_flow_edges(idx); py::list out; for (auto const& pr : v) { out.append(py::make_tuple(pr.first, pr.second)); } return out; }) - .def("get_flow_path", [](const FlowGraph& fg, const FlowIndex& idx){ auto v = fg.get_flow_path(idx); py::list out; for (auto e : v) out.append(e); return out; }); - - // NOTE: FlowRecord is deliberately not bound. No binding constructs or returns one - // (FlowPolicy.flows yields plain tuples), so the class was unreachable, and the - // Python name "Flow" collided with the C++ alias `using Flow = double`. If per-flow - // records become part of the public API, bind it under an unambiguous name such as - // "FlowRecord" and have FlowPolicy.flows return it instead of tuples. - - py::enum_(m, "PathAlg") - .value("SPF", PathAlg::SPF); - - py::class_(m, "FlowPolicyConfig") - .def(py::init<>()) - .def(py::init([](PathAlg path_alg, - FlowPlacement flow_placement, - EdgeSelection selection, - bool require_capacity, - bool multipath, - int min_flow_count, - py::object max_flow_count, - py::object max_path_cost, - py::object max_path_cost_factor, - bool shortest_path, - bool reoptimize_flows_on_each_placement, - int max_no_progress_iterations, - int max_total_iterations, - bool diminishing_returns_enabled, - int diminishing_returns_window, - double diminishing_returns_epsilon_frac){ - FlowPolicyConfig cfg; - cfg.path_alg = path_alg; - cfg.flow_placement = flow_placement; - cfg.selection = selection; - cfg.require_capacity = require_capacity; - cfg.multipath = multipath; - cfg.min_flow_count = min_flow_count; - if (!max_flow_count.is_none()) cfg.max_flow_count = py::cast(max_flow_count); - if (!max_path_cost.is_none()) cfg.max_path_cost = py::cast(max_path_cost); - if (!max_path_cost_factor.is_none()) cfg.max_path_cost_factor = py::cast(max_path_cost_factor); - cfg.shortest_path = shortest_path; - cfg.reoptimize_flows_on_each_placement = reoptimize_flows_on_each_placement; - cfg.max_no_progress_iterations = max_no_progress_iterations; - cfg.max_total_iterations = max_total_iterations; - cfg.diminishing_returns_enabled = diminishing_returns_enabled; - cfg.diminishing_returns_window = diminishing_returns_window; - cfg.diminishing_returns_epsilon_frac = diminishing_returns_epsilon_frac; - return cfg; - }), - py::kw_only(), - py::arg("path_alg") = PathAlg::SPF, - py::arg("flow_placement") = FlowPlacement::Proportional, - py::arg("selection") = EdgeSelection{}, - py::arg("require_capacity") = true, - py::arg("multipath") = true, - py::arg("min_flow_count") = 1, - py::arg("max_flow_count") = py::none(), - py::arg("max_path_cost") = py::none(), - py::arg("max_path_cost_factor") = py::none(), - py::arg("shortest_path") = false, - py::arg("reoptimize_flows_on_each_placement") = false, - py::arg("max_no_progress_iterations") = 100, - py::arg("max_total_iterations") = 10000, - py::arg("diminishing_returns_enabled") = true, - py::arg("diminishing_returns_window") = 8, - py::arg("diminishing_returns_epsilon_frac") = 1e-3) - .def_readwrite("path_alg", &FlowPolicyConfig::path_alg) - .def_readwrite("flow_placement", &FlowPolicyConfig::flow_placement) - .def_readwrite("selection", &FlowPolicyConfig::selection) - .def_readwrite("require_capacity", &FlowPolicyConfig::require_capacity) - .def_readwrite("multipath", &FlowPolicyConfig::multipath) - .def_readwrite("min_flow_count", &FlowPolicyConfig::min_flow_count) - .def_readwrite("max_flow_count", &FlowPolicyConfig::max_flow_count) - .def_readwrite("max_path_cost", &FlowPolicyConfig::max_path_cost) - .def_readwrite("max_path_cost_factor", &FlowPolicyConfig::max_path_cost_factor) - .def_readwrite("shortest_path", &FlowPolicyConfig::shortest_path) - .def_readwrite("reoptimize_flows_on_each_placement", &FlowPolicyConfig::reoptimize_flows_on_each_placement) - .def_readwrite("max_no_progress_iterations", &FlowPolicyConfig::max_no_progress_iterations) - .def_readwrite("max_total_iterations", &FlowPolicyConfig::max_total_iterations) - .def_readwrite("diminishing_returns_enabled", &FlowPolicyConfig::diminishing_returns_enabled) - .def_readwrite("diminishing_returns_window", &FlowPolicyConfig::diminishing_returns_window) - .def_readwrite("diminishing_returns_epsilon_frac", &FlowPolicyConfig::diminishing_returns_epsilon_frac); - - py::class_(m, "FlowPolicy") - .def("__init__", [](FlowPolicy& self, py::object algs_obj, const PyGraph& pg, FlowPolicyConfig cfg, - py::object node_mask, py::object edge_mask){ - if (!py::isinstance(algs_obj)) { - throw py::type_error("FlowPolicy: algorithms must be an Algorithms instance"); - } - std::shared_ptr algs = py::cast>(algs_obj); - - auto node_bs = to_bool_span_from_numpy(node_mask, static_cast(pg.num_nodes), "node_mask"); - auto edge_bs = to_bool_span_from_numpy(edge_mask, static_cast(pg.num_edges), "edge_mask"); - - cfg.node_mask = node_bs.view; - cfg.edge_mask = edge_bs.view; - - ExecutionContext ctx(algs, pg.handle); - new (&self) FlowPolicy(ctx, cfg); - }, - py::arg("algorithms"), py::arg("graph"), py::arg("config"), - py::kw_only(), - py::arg("node_mask") = py::none(), - py::arg("edge_mask") = py::none(), - py::keep_alive<1, 2>(), // self keeps algorithms alive - py::keep_alive<1, 3>()) // self keeps graph alive - .def("flow_count", &FlowPolicy::flow_count) - .def("placed_demand", &FlowPolicy::placed_demand) - .def("place_demand", [](FlowPolicy& p, FlowGraph& fg, std::int32_t src, std::int32_t dst, FlowClass flowClass, double volume, py::object target_per_flow, py::object min_flow){ std::optional tpf; if (!target_per_flow.is_none()) tpf = py::cast(target_per_flow); std::optional mfl; if (!min_flow.is_none()) mfl = py::cast(min_flow); py::gil_scoped_release rel; auto pr = p.place_demand(fg, src, dst, flowClass, volume, tpf, mfl); py::gil_scoped_acquire acq; return py::make_tuple(pr.first, pr.second); }, py::arg("flow_graph"), py::arg("src"), py::arg("dst"), py::arg("flowClass"), py::arg("volume"), py::arg("target_per_flow") = py::none(), py::arg("min_flow") = py::none()) - .def("rebalance_demand", [](FlowPolicy& p, FlowGraph& fg, std::int32_t src, std::int32_t dst, FlowClass flowClass, double target){ py::gil_scoped_release rel; auto pr = p.rebalance_demand(fg, src, dst, flowClass, target); py::gil_scoped_acquire acq; return py::make_tuple(pr.first, pr.second); }, - py::arg("flow_graph"), py::arg("src"), py::arg("dst"), py::arg("flowClass"), py::arg("target")) - .def("remove_demand", [](FlowPolicy& p, FlowGraph& fg){ py::gil_scoped_release rel; p.remove_demand(fg); py::gil_scoped_acquire acq; }) - .def("set_static_paths", [](FlowPolicy& p, std::int32_t src, std::int32_t dst, py::sequence paths){ - std::vector bundles; - bundles.reserve(py::len(paths)); - for (auto item : paths) bundles.push_back(py::cast(item)); - py::gil_scoped_release rel; - p.set_static_paths(src, dst, std::move(bundles)); - py::gil_scoped_acquire acq; - }, py::arg("src"), py::arg("dst"), py::arg("paths"), - "Pin this policy's demand to explicit path bundles (one flow per usable " - "bundle, bound in supply order). See FlowPolicy docs for validation, mask " - "(failure) semantics, and which config knobs become inert.") - .def_property_readonly("flows", [](const FlowPolicy& p){ py::dict out; for (auto const& kv : p.flows()) { const auto& idx = kv.first; const auto& f = kv.second; out[py::make_tuple(idx.src, idx.dst, idx.flowClass, idx.flowId)] = py::make_tuple(f.src, f.dst, f.cost, f.placed_flow); } return out; }); - - // Profiling functions (enabled via NGRAPH_CORE_PROFILE=1 environment variable) - m.def("profiling_enabled", &profiling_enabled, - "Return True if profiling is enabled (NGRAPH_CORE_PROFILE=1)."); - m.def("profiling_dump", []{ ProfilingStats::instance().dump(); }, - "Print profiling statistics to stderr."); - m.def("profiling_reset", []{ ProfilingStats::instance().reset(); }, - "Clear all profiling statistics."); + out["cost_distribution"] = curve; + out["edge_flows"] = int_list(r.edge_flows); + if (r.min_cut.has_value()) { + py::list cut; + for (EdgeId e : *r.min_cut) cut.append(py::int_(e)); + out["min_cut"] = cut; + } else { + out["min_cut"] = py::none(); + } + out["potentials"] = int_list(r.potentials); + py::dict counters; + counters["dijkstra_runs"] = py::int_(r.counters.dijkstra_runs); + counters["dijkstra_pops"] = py::int_(r.counters.dijkstra_pops); + counters["settled"] = py::int_(r.counters.settled); + counters["arc_scans"] = py::int_(r.counters.arc_scans); + counters["dinic_phases"] = py::int_(r.counters.dinic_phases); + counters["augmentations"] = py::int_(r.counters.augmentations); + out["counters"] = counters; + return out; + }, + py::arg("graph"), py::arg("view"), py::arg("sources"), py::arg("destinations"), py::arg("elig"), + py::arg("cap"), + "Private recorder entry (APPROACH 2.2): the minimum-cost flow of the maximum value under\n" + "cap (None: uncapped) from the source set to the destination set over the eligible edges,\n" + "on the capacities `view` (int64 units, id order), from zero flow. Returns {placed,\n" + "cost_distribution: [[cost, units]], edge_flows, min_cut (None while the destinations stay\n" + "connected, and on cap 0), potentials (-1 = never reached), counters}. Invalid inputs raise\n" + "ValueError before any work."); } diff --git a/dev/benchmark_profiling_overhead.py b/dev/benchmark_profiling_overhead.py deleted file mode 100644 index 1a32e68..0000000 --- a/dev/benchmark_profiling_overhead.py +++ /dev/null @@ -1,297 +0,0 @@ -#!/usr/bin/env python3 -"""Benchmark for measuring netgraph_core performance and profiling overhead. - -Runs SPF and flow placement operations on a mesh graph topology. -Useful for: - - Measuring profiling infrastructure overhead (compare with/without NGRAPH_CORE_PROFILE=1) - - Regression testing after code changes - - Comparing performance across versions - -Usage: - # Default run (400-node mesh, 500 SPF + 100 flow ops) - python dev/benchmark_profiling_overhead.py - - # Quick smoke test - python dev/benchmark_profiling_overhead.py --quick - - # Custom parameters - python dev/benchmark_profiling_overhead.py --mesh-size 30 --spf-iters 1000 --flow-iters 200 - - # Compare profiling overhead - python dev/benchmark_profiling_overhead.py # baseline - NGRAPH_CORE_PROFILE=1 python dev/benchmark_profiling_overhead.py # with profiling - - # JSON output for scripting - python dev/benchmark_profiling_overhead.py --json -""" - -import argparse -import json -import statistics -import sys -import time - -import numpy as np - -import netgraph_core as ngc - - -def create_mesh_graph(n: int) -> ngc.StrictMultiDiGraph: - """Create an n x n mesh graph with bidirectional edges. - - Args: - n: Grid dimension (creates n*n nodes) - - Returns: - Graph with 4-connected mesh topology, unit costs, 100.0 capacity per edge. - """ - num_nodes = n * n - edges = [] - - for row in range(n): - for col in range(n): - node = row * n + col - if col < n - 1: - right = row * n + (col + 1) - edges.append((node, right, 1, 100.0)) - edges.append((right, node, 1, 100.0)) - if row < n - 1: - down = (row + 1) * n + col - edges.append((node, down, 1, 100.0)) - edges.append((down, node, 1, 100.0)) - - src = np.array([e[0] for e in edges], dtype=np.int32) - dst = np.array([e[1] for e in edges], dtype=np.int32) - cost = np.array([e[2] for e in edges], dtype=np.int64) - cap = np.array([e[3] for e in edges], dtype=np.float64) - ext_edge_ids = np.arange(len(edges), dtype=np.int64) - - return ngc.StrictMultiDiGraph.from_arrays( - num_nodes, src, dst, cap, cost, ext_edge_ids - ) - - -def benchmark_spf( - graph_handle, algs: ngc.Algorithms, num_nodes: int, iterations: int -) -> list[float]: - """Run SPF iterations and return per-call times in ms.""" - times = [] - edge_sel = ngc.EdgeSelection( - multi_edge=False, - require_capacity=False, - tie_break=ngc.EdgeTieBreak.DETERMINISTIC, - ) - - for i in range(iterations): - src = i % num_nodes - start = time.perf_counter() - algs.spf(graph_handle, src, selection=edge_sel) - times.append((time.perf_counter() - start) * 1000) - - return times - - -def benchmark_flow_placement( - g: ngc.StrictMultiDiGraph, graph_handle, algs: ngc.Algorithms, iterations: int -) -> list[float]: - """Run flow placement iterations and return per-call times in ms.""" - num_nodes = g.num_nodes() - times = [] - - for i in range(iterations): - fg = ngc.FlowGraph(g) - cfg = ngc.FlowPolicyConfig() - cfg.flow_placement = ngc.FlowPlacement.EQUAL_BALANCED - cfg.max_flow_count = 16 - cfg.min_flow_count = 16 - cfg.selection = ngc.EdgeSelection( - multi_edge=False, - require_capacity=True, - tie_break=ngc.EdgeTieBreak.PREFER_HIGHER_RESIDUAL, - ) - cfg.require_capacity = True - cfg.multipath = False - cfg.reoptimize_flows_on_each_placement = True - policy = ngc.FlowPolicy(algs, graph_handle, cfg) - - src = i % num_nodes - dst = (num_nodes - 1 - i) % num_nodes - if src == dst: - dst = (dst + 1) % num_nodes - - start = time.perf_counter() - policy.place_demand(fg, src, dst, 0, 1000.0) - times.append((time.perf_counter() - start) * 1000) - - return times - - -def compute_stats(name: str, times: list[float]) -> dict: - """Compute statistics for a benchmark run.""" - return { - "name": name, - "iterations": len(times), - "mean_ms": statistics.mean(times), - "median_ms": statistics.median(times), - "stdev_ms": statistics.stdev(times) if len(times) > 1 else 0, - "min_ms": min(times), - "max_ms": max(times), - "total_ms": sum(times), - } - - -def print_stats(stats: dict) -> None: - """Print benchmark statistics.""" - print(f"\n{stats['name']}:") - print(f" Iterations: {stats['iterations']}") - print(f" Mean: {stats['mean_ms']:.3f} ms") - print(f" Median: {stats['median_ms']:.3f} ms") - print(f" Stdev: {stats['stdev_ms']:.3f} ms") - print(f" Min: {stats['min_ms']:.3f} ms") - print(f" Max: {stats['max_ms']:.3f} ms") - print(f" Total: {stats['total_ms']:.1f} ms") - - -def main(): - parser = argparse.ArgumentParser( - description="Benchmark netgraph_core performance and profiling overhead.", - formatter_class=argparse.RawDescriptionHelpFormatter, - epilog=""" -Examples: - %(prog)s # default benchmark - %(prog)s --quick # fast smoke test - %(prog)s --mesh-size 30 # larger graph - %(prog)s --json # machine-readable output - NGRAPH_CORE_PROFILE=1 %(prog)s # measure with profiling enabled -""", - ) - parser.add_argument( - "--mesh-size", - type=int, - default=20, - metavar="N", - help="mesh grid size (N x N nodes, default: 20)", - ) - parser.add_argument( - "--spf-iters", - type=int, - default=500, - metavar="N", - help="number of SPF iterations (default: 500)", - ) - parser.add_argument( - "--flow-iters", - type=int, - default=100, - metavar="N", - help="number of flow placement iterations (default: 100)", - ) - parser.add_argument( - "--quick", - action="store_true", - help="quick run with minimal iterations (mesh=10, spf=50, flow=10)", - ) - parser.add_argument( - "--json", - action="store_true", - help="output results as JSON (for scripting)", - ) - args = parser.parse_args() - - if args.quick: - args.mesh_size = 10 - args.spf_iters = 50 - args.flow_iters = 10 - - profiling_enabled = getattr(ngc, "profiling_enabled", lambda: None)() - - if not args.json: - print("=" * 60) - print("NetGraph-Core Benchmark") - print("=" * 60) - print(f"\nVersion: {ngc.__version__}") - if profiling_enabled is not None: - print(f"Profiling: {'ON' if profiling_enabled else 'OFF'}") - print( - f"\nGraph: {args.mesh_size}x{args.mesh_size} mesh ({args.mesh_size**2} nodes)" - ) - print(f"SPF iterations: {args.spf_iters}") - print(f"Flow iterations: {args.flow_iters}") - print("\nCreating graph...", end=" ", flush=True) - - g = create_mesh_graph(args.mesh_size) - num_nodes = g.num_nodes() - num_edges = g.num_edges() - - if not args.json: - print(f"done ({num_nodes} nodes, {num_edges} edges)") - - backend = ngc.Backend.cpu() - algs = ngc.Algorithms(backend) - graph_handle = algs.build_graph(g) - - # Warmup (results discarded, profiling stats reset after) - if not args.json: - print("\nWarmup...", end=" ", flush=True) - sys.stdout.flush() - _ = benchmark_spf(graph_handle, algs, num_nodes, min(10, args.spf_iters)) - _ = benchmark_flow_placement(g, graph_handle, algs, min(5, args.flow_iters)) - if hasattr(ngc, "profiling_reset"): - ngc.profiling_reset() - if not args.json: - print("done", flush=True) - print("\n" + "-" * 40) - print("Running benchmarks...", flush=True) - sys.stdout.flush() - - spf_times = benchmark_spf(graph_handle, algs, num_nodes, args.spf_iters) - spf_stats = compute_stats("Shortest Paths (SPF)", spf_times) - - flow_times = benchmark_flow_placement(g, graph_handle, algs, args.flow_iters) - flow_stats = compute_stats("Flow Placement", flow_times) - - total_ops = args.spf_iters + args.flow_iters - total_time_ms = spf_stats["total_ms"] + flow_stats["total_ms"] - throughput = total_ops / (total_time_ms / 1000) if total_time_ms > 0 else 0 - - if args.json: - result = { - "version": ngc.__version__, - "profiling_enabled": profiling_enabled, - "config": { - "mesh_size": args.mesh_size, - "num_nodes": num_nodes, - "num_edges": num_edges, - "spf_iterations": args.spf_iters, - "flow_iterations": args.flow_iters, - }, - "spf": {k: v for k, v in spf_stats.items() if k != "name"}, - "flow": {k: v for k, v in flow_stats.items() if k != "name"}, - "summary": { - "total_ops": total_ops, - "total_time_ms": total_time_ms, - "throughput_ops_per_sec": throughput, - }, - } - print(json.dumps(result, indent=2)) - else: - print_stats(spf_stats) - print_stats(flow_stats) - - print("\n" + "=" * 60) - print("SUMMARY") - print("=" * 60) - print(f"Total operations: {total_ops}") - print(f"Total time: {total_time_ms:.1f} ms ({total_time_ms / 1000:.2f} s)") - print(f"Throughput: {throughput:.1f} ops/sec") - - if profiling_enabled: - print("\n" + "-" * 40) - print("Profiling stats:", flush=True) - sys.stdout.flush() - ngc.profiling_dump() - sys.stderr.flush() - - -if __name__ == "__main__": - main() diff --git a/include/netgraph/core/algorithms.hpp b/include/netgraph/core/algorithms.hpp deleted file mode 100644 index c4dc1cc..0000000 --- a/include/netgraph/core/algorithms.hpp +++ /dev/null @@ -1,62 +0,0 @@ -/* Algorithms façade that forwards to a selected Backend implementation. */ -#pragma once - -#include - -#include "netgraph/core/backend.hpp" -#include "netgraph/core/options.hpp" - -namespace netgraph::core { - -class Algorithms { -public: - explicit Algorithms(BackendPtr backend) : backend_(std::move(backend)) {} - - [[nodiscard]] GraphHandle build_graph(const StrictMultiDiGraph& g) const { - return backend_->build_graph(g); - } - - [[nodiscard]] std::pair, PredDAG> - spf(const GraphHandle& gh, NodeId src, const SpfOptions& opts) const { - return backend_->spf(gh, src, opts); - } - - [[nodiscard]] std::pair - spf_dag(const GraphHandle& gh, NodeId src, NodeId dst, const SpfOptions& opts) const { - return backend_->spf_dag(gh, src, dst, opts); - } - - [[nodiscard]] std::pair, PredDAG> - spf_to(const GraphHandle& gh, NodeId dst, const SpfToOptions& opts) const { - return backend_->spf_to(gh, dst, opts); - } - - [[nodiscard]] std::vector, PredDAG>> - ksp(const GraphHandle& gh, NodeId src, NodeId dst, const KspOptions& opts) const { - return backend_->ksp(gh, src, dst, opts); - } - - [[nodiscard]] std::pair - max_flow(const GraphHandle& gh, NodeId src, NodeId dst, const MaxFlowOptions& opts) const { - return backend_->max_flow(gh, src, dst, opts); - } - - [[nodiscard]] std::vector - batch_max_flow(const GraphHandle& gh, - const std::vector>& pairs, - const MaxFlowOptions& opts, - const std::vector>& node_masks = {}, - const std::vector>& edge_masks = {}) const { - return backend_->batch_max_flow(gh, pairs, opts, node_masks, edge_masks); - } - - [[nodiscard]] std::vector> - sensitivity_analysis(const GraphHandle& gh, NodeId src, NodeId dst, const MaxFlowOptions& opts) const { - return backend_->sensitivity_analysis(gh, src, dst, opts); - } - -private: - BackendPtr backend_; -}; - -} // namespace netgraph::core diff --git a/include/netgraph/core/backend.hpp b/include/netgraph/core/backend.hpp deleted file mode 100644 index 67098b3..0000000 --- a/include/netgraph/core/backend.hpp +++ /dev/null @@ -1,149 +0,0 @@ -/* - Backend interface — abstracts SPF/MaxFlow/KSP implementations. - - The default CPU backend delegates to in-process algorithm implementations. - All execution flows through this interface via an Algorithms façade. -*/ -#pragma once - -#include -#include -#include -#include -#include - -#include "netgraph/core/strict_multidigraph.hpp" -#include "netgraph/core/shortest_paths.hpp" -#include "netgraph/core/max_flow.hpp" -#include "netgraph/core/options.hpp" - -namespace netgraph::core { - -// GraphHandle: opaque handle to a backend-owned graph. -// Uses shared_ptr for automatic lifetime management. -struct GraphHandle { - std::shared_ptr graph {}; -}; - -class Backend { -public: - virtual ~Backend() noexcept = default; - - // Prepares a backend-specific graph handle from an existing graph reference. - // - // The CPU backend creates a non-owning shared_ptr with a no-op deleter, so the - // caller must keep `g` alive for as long as the handle is used. To hand the - // handle shared ownership instead, construct it directly: GraphHandle{my_sp}. - // - // Arguments: - // g: The source graph to wrap. - // - // Returns: - // A GraphHandle containing the backend-specific graph representation. - [[nodiscard]] virtual GraphHandle build_graph(const StrictMultiDiGraph& g) = 0; - - // Computes shortest paths from a source node. - // - // Arguments: - // gh: The graph handle. - // src: The source node ID. - // opts: Configuration options for SPF (e.g., multipath, edge selection). - // - // Returns: - // A pair containing: - // - A vector of costs (distances) from src to all nodes. - // - A predecessor DAG encoding the shortest paths. - [[nodiscard]] virtual std::pair, PredDAG> spf( - const GraphHandle& gh, NodeId src, const SpfOptions& opts) = 0; - - // Destination-limited search returning dst's cost and the predecessor DAG - // without the N-sized distance vector; see shortest_paths_dag() in - // shortest_paths.hpp. opts.dst is ignored (dst is the argument). The default - // implementation derives the result from spf(), so backends that do not - // specialise it stay correct. - [[nodiscard]] virtual std::pair spf_dag( - const GraphHandle& gh, NodeId src, NodeId dst, const SpfOptions& opts) { - SpfOptions o = opts; - o.dst = dst; - auto res = spf(gh, src, o); - const Cost cost = (dst >= 0 && static_cast(dst) < res.first.size()) - ? res.first[static_cast(dst)] - : std::numeric_limits::max(); - return {cost, std::move(res.second)}; - } - - // Computes shortest paths from every node to dst (reverse SPF); see - // shortest_paths_to() in shortest_paths.hpp. Returns distances to dst and a - // forward-oriented predecessor DAG valid for placement from any node toward dst. - [[nodiscard]] virtual std::pair, PredDAG> spf_to( - const GraphHandle& gh, NodeId dst, const SpfToOptions& opts) = 0; - - // Computes maximum flow between a source and destination node. - // - // Arguments: - // gh: The graph handle. - // src: The source node ID. - // dst: The destination node ID. - // opts: Configuration options for max flow (e.g., algorithm, capacity constraints). - // - // Returns: - // A pair containing: - // - The total flow amount. - // - A FlowSummary struct with detailed results. - [[nodiscard]] virtual std::pair max_flow( - const GraphHandle& gh, NodeId src, NodeId dst, const MaxFlowOptions& opts) = 0; - - // Computes K-shortest paths between a source and destination node. - // - // Arguments: - // gh: The graph handle. - // src: The source node ID. - // dst: The destination node ID. - // opts: Configuration options for KSP (e.g., K, cost constraints). - // - // Returns: - // A vector of pairs, each representing a path: - // - A vector of costs along the path. - // - A predecessor DAG representing the path. - [[nodiscard]] virtual std::vector, PredDAG>> ksp( - const GraphHandle& gh, NodeId src, NodeId dst, const KspOptions& opts) = 0; - - // Computes maximum flow for a batch of source-destination pairs. - // - // Arguments: - // gh: The graph handle. - // pairs: A vector of (source, destination) pairs. - // opts: Common configuration options for all pairs. - // node_masks: Optional vector of node masks, one per pair. - // edge_masks: Optional vector of edge masks, one per pair. - // - // Returns: - // A vector of FlowSummary structs, one for each pair. - [[nodiscard]] virtual std::vector batch_max_flow( - const GraphHandle& gh, - const std::vector>& pairs, - const MaxFlowOptions& opts, - const std::vector>& node_masks = {}, - const std::vector>& edge_masks = {}) = 0; - - // Performs sensitivity analysis to identify edges that constrain flow. - // - // Arguments: - // gh: The graph handle. - // src: The source node ID. - // dst: The destination node ID. - // opts: Configuration options. - // - // Returns: - // A vector of pairs (EdgeId, FlowDelta) for edges whose removal reduces - // total flow, where FlowDelta is how much flow is LOST without that edge. - // This is a criticality measure, not the gain from relaxing capacity. - [[nodiscard]] virtual std::vector> sensitivity_analysis( - const GraphHandle& gh, NodeId src, NodeId dst, const MaxFlowOptions& opts) = 0; -}; - -using BackendPtr = std::shared_ptr; - -[[nodiscard]] BackendPtr make_cpu_backend(); - -} // namespace netgraph::core diff --git a/include/netgraph/core/constants.hpp b/include/netgraph/core/constants.hpp deleted file mode 100644 index 5099619..0000000 --- a/include/netgraph/core/constants.hpp +++ /dev/null @@ -1,13 +0,0 @@ -/* Numeric thresholds shared by SPF and flow placement. */ -#pragma once - -#include "netgraph/core/types.hpp" - -namespace netgraph::core { - -// Global numeric thresholds used across SPF and flow placement -inline constexpr Cap kMinCap = static_cast(1.0 / 4096.0); // minimum effective remaining capacity -inline constexpr Flow kMinFlow = static_cast(1.0 / 4096.0); // minimum meaningful flow when augmenting -inline constexpr double kEpsilon = 1e-12; // numeric clamp - -} // namespace netgraph::core diff --git a/include/netgraph/core/flow.hpp b/include/netgraph/core/flow.hpp deleted file mode 100644 index c956186..0000000 --- a/include/netgraph/core/flow.hpp +++ /dev/null @@ -1,28 +0,0 @@ -/* FlowRecord — immutable identity + current path DAG and placed amount. */ -#pragma once - -#include -#include - -#include "netgraph/core/shortest_paths.hpp" -#include "netgraph/core/types.hpp" - -namespace netgraph::core { - -// FlowRecord is a logical unit of routed demand. It stores identity, current -// path (as a PredDAG), path cost, and the volume placed so far. It does not -// mutate any graph state; placement is performed via FlowGraph. -struct FlowRecord { - FlowIndex index {}; - NodeId src { -1 }; - NodeId dst { -1 }; - PredDAG dag {}; - Cost cost { 0 }; - double placed_flow { 0.0 }; - - FlowRecord() noexcept = default; - FlowRecord(FlowIndex idx, NodeId src, NodeId dst, PredDAG d, Cost c) - : index(idx), src(src), dst(dst), dag(std::move(d)), cost(c), placed_flow(0.0) {} -}; - -} // namespace netgraph::core diff --git a/include/netgraph/core/flow_graph.hpp b/include/netgraph/core/flow_graph.hpp deleted file mode 100644 index 1e90fd6..0000000 --- a/include/netgraph/core/flow_graph.hpp +++ /dev/null @@ -1,94 +0,0 @@ -/* FlowGraph manages per-flow edge allocations over FlowState. */ -#pragma once - -#include -#include -#include -#include -#include - -#include "netgraph/core/flow_state.hpp" -#include "netgraph/core/shortest_paths.hpp" -#include "netgraph/core/strict_multidigraph.hpp" -#include "netgraph/core/types.hpp" - -namespace netgraph::core { - -// FlowGraph manages per-flow edge allocations over a StrictMultiDiGraph. -// Composes FlowState for residual/aggregate edge flow management. -class FlowGraph { -public: - explicit FlowGraph(const StrictMultiDiGraph& g); - ~FlowGraph() noexcept = default; - - // Copies and moves take a FRESH uid (and version 0). uid must be unique per - // reachable instance: a shared uid would let two objects that diverge after - // copying present equal StateStamps over different residual content, and - // FlowPolicy's memo fast path would then serve a DAG cached for the other - // object's state. Moved-from objects stay valid and mutable, so moves must - // not share the uid either; the one-time cache miss this costs is nothing. - FlowGraph(const FlowGraph& other); - FlowGraph& operator=(const FlowGraph& other); - FlowGraph(FlowGraph&& other) noexcept; - FlowGraph& operator=(FlowGraph&& other) noexcept; - - // Views - [[nodiscard]] std::span capacity_view() const noexcept { return fs_.capacity_view(); } - [[nodiscard]] std::span residual_view() const noexcept { return fs_.residual_view(); } - [[nodiscard]] std::span edge_flow_view() const noexcept { return fs_.edge_flow_view(); } - - // Access underlying graph (const) - [[nodiscard]] const StrictMultiDiGraph& graph() const noexcept { return *g_; } - - // Apply placement and record per-edge allocations for this flow. Returns placed - // amount. `drops`, when given, receives the per-edge dropped volume of an - // EqualBalancedLossy placement (see FlowState::place_on_dag); other placements - // leave it untouched. Dropped volume is not part of the ledger: it never - // occupied an edge, so removing the flow reverts only what was carried. - [[nodiscard]] Flow place(const FlowIndex& idx, NodeId src, NodeId dst, - const PredDAG& dag, Flow amount, - FlowPlacement placement, - std::vector>* drops = nullptr); - - // Remove a specific flow, reverting its edge allocations from the ledger. - void remove(const FlowIndex& idx); - - // Remove all flows belonging to a given flowClass. - void remove_by_class(FlowClass flowClass); - - // Reset all state to initial capacity and clear ledger. - void reset() noexcept; - - // Inspect: return a copy of the flow's edges and amounts. - [[nodiscard]] std::vector> get_flow_edges(const FlowIndex& idx) const; - // Whether the ledger holds this flow index (placed and not removed). - [[nodiscard]] bool has_flow(const FlowIndex& idx) const noexcept { return ledger_.find(idx) != ledger_.end(); } - - // Monotonic stamp identifying the exact residual state of this FlowGraph. - // uid is process-unique per instance (never reused across FlowGraph - // lifetimes); version bumps on every mutation that can change residuals. - // Equal stamps from two observations therefore guarantee identical residual - // content, which FlowPolicy uses to elide repeated identical SPF runs. - struct StateStamp { - std::uint64_t uid; - std::uint64_t version; - bool operator==(const StateStamp&) const noexcept = default; - }; - [[nodiscard]] StateStamp state_stamp() const noexcept { return {uid_, version_}; } - -// Reconstruct single path for this flow from ledger. -// Returns empty vector if flow uses multipath/proportional splitting. - [[nodiscard]] std::vector get_flow_path(const FlowIndex& idx) const; - -private: - const StrictMultiDiGraph* g_ {nullptr}; - FlowState fs_; - // Per-flow ledger: stores only edges with non-zero flow - std::unordered_map>, FlowIndexHash> ledger_; - // See state_stamp(). fs_ is private and every mutation path (place, remove, - // remove_by_class, reset) bumps version_, so the stamp cannot go stale. - std::uint64_t uid_ {0}; - std::uint64_t version_ {0}; -}; - -} // namespace netgraph::core diff --git a/include/netgraph/core/flow_policy.hpp b/include/netgraph/core/flow_policy.hpp deleted file mode 100644 index c968178..0000000 --- a/include/netgraph/core/flow_policy.hpp +++ /dev/null @@ -1,261 +0,0 @@ -/* FlowPolicy manages flows for a single demand. */ -#pragma once - -#include -#include -#include -#include -#include -#include -#include - -#include "netgraph/core/flow.hpp" -#include "netgraph/core/flow_graph.hpp" -#include "netgraph/core/algorithms.hpp" -#include "netgraph/core/options.hpp" -#include "netgraph/core/types.hpp" - -namespace netgraph::core { - -enum class PathAlg : std::int32_t { SPF = 1 }; - -// Execution context with algorithms and graph handle -struct ExecutionContext { - std::shared_ptr algorithms; - GraphHandle graph; - - ExecutionContext(std::shared_ptr algs, const GraphHandle& gh) noexcept - : algorithms(std::move(algs)), graph(gh) {} -}; - -// Configuration struct for FlowPolicy behavior -struct FlowPolicyConfig { - PathAlg path_alg { PathAlg::SPF }; - FlowPlacement flow_placement { FlowPlacement::Proportional }; - EdgeSelection selection { EdgeSelection{} }; - bool require_capacity { true }; // Require edges to have capacity (software-defined/traffic engineering). - // Set false for cost-only routing (traditional IP/IGP shortest-paths). - bool multipath { true }; // Enable individual flows to split across multiple equal-cost paths. - // When true: each flow uses a DAG containing all equal-cost paths (hash-based ECMP). - // When false: each flow uses a single path (tunnel-based ECMP, MPLS LSP semantics). - int min_flow_count { 1 }; - std::optional max_flow_count { std::nullopt }; - std::optional max_path_cost { std::nullopt }; - std::optional max_path_cost_factor { std::nullopt }; - bool shortest_path { false }; - bool reoptimize_flows_on_each_placement { false }; - int max_no_progress_iterations { 100 }; - int max_total_iterations { 10000 }; - bool diminishing_returns_enabled { true }; - int diminishing_returns_window { 8 }; - double diminishing_returns_epsilon_frac { 1e-3 }; - std::span node_mask {}; // Optional node mask for failure exclusions (True = include) - std::span edge_mask {}; // Optional edge mask for failure exclusions (True = include) -}; - -// FlowPolicy manages flow creation, placement, reoptimization for a single demand -class FlowPolicy { -public: - // Constructor accepting configuration struct - FlowPolicy(const ExecutionContext& ctx, const FlowPolicyConfig& cfg) - : ctx_(ctx), - path_alg_(cfg.path_alg), flow_placement_(cfg.flow_placement), selection_(cfg.selection), - require_capacity_(cfg.require_capacity), multipath_(cfg.multipath), shortest_path_(cfg.shortest_path), - min_flow_count_(cfg.min_flow_count), max_flow_count_(cfg.max_flow_count), max_path_cost_(cfg.max_path_cost), - max_path_cost_factor_(cfg.max_path_cost_factor), reoptimize_flows_on_each_placement_(cfg.reoptimize_flows_on_each_placement), - max_no_progress_iterations_(cfg.max_no_progress_iterations), max_total_iterations_(cfg.max_total_iterations), - diminishing_returns_enabled_(cfg.diminishing_returns_enabled), diminishing_returns_window_(cfg.diminishing_returns_window), - diminishing_returns_epsilon_frac_(cfg.diminishing_returns_epsilon_frac) - { - // Validate mask sizes early for clearer error messages - const auto* g = ctx_.graph.graph.get(); - if (g) { - if (!cfg.node_mask.empty() && cfg.node_mask.size() != static_cast(g->num_nodes())) { - throw std::invalid_argument("FlowPolicy: node_mask length mismatch"); - } - if (!cfg.edge_mask.empty() && cfg.edge_mask.size() != static_cast(g->num_edges())) { - throw std::invalid_argument("FlowPolicy: edge_mask length mismatch"); - } - } - - // Copy mask data if provided - if (!cfg.node_mask.empty()) { - node_mask_storage_.reset(new bool[cfg.node_mask.size()]); - std::copy(cfg.node_mask.begin(), cfg.node_mask.end(), node_mask_storage_.get()); - node_mask_ = std::span(node_mask_storage_.get(), cfg.node_mask.size()); - } - if (!cfg.edge_mask.empty()) { - edge_mask_storage_.reset(new bool[cfg.edge_mask.size()]); - std::copy(cfg.edge_mask.begin(), cfg.edge_mask.end(), edge_mask_storage_.get()); - edge_mask_ = std::span(edge_mask_storage_.get(), cfg.edge_mask.size()); - } - } - - ~FlowPolicy() noexcept = default; - - [[nodiscard]] int flow_count() const noexcept { return static_cast(flows_.size()); } - [[nodiscard]] double placed_demand() const noexcept; - - // Core operations. - // - // A FlowPolicy manages the flows of a SINGLE demand. Once it holds flows, calling - // place_demand() with a different (src, dst) throws std::invalid_argument, because - // the round-robin loop routes using the src/dst stored on the existing flow records. - // Use one policy per demand, or call remove_demand() first to retarget it. - // - // `fg` must wrap the same StrictMultiDiGraph as the policy's own graph handle; - // placing onto a FlowGraph built from a different graph is rejected. - // - // Returns (placed, remaining). NOTE for EqualBalanced: when the equalizing - // rebalance runs, `placed` is the policy's TOTAL placed demand (cumulative - // across calls, since rebalancing re-places previously placed volume too) and - // `placed + remaining` can therefore exceed this call's `volume`. Use - // placed_demand() deltas for strict per-call accounting. - [[nodiscard]] std::pair place_demand(FlowGraph& fg, - NodeId src, NodeId dst, - FlowClass flowClass, - double volume, - std::optional target_per_flow = std::nullopt, - std::optional min_flow = std::nullopt); - - // Re-places the currently placed volume so each flow carries ~target_per_flow. - // (src, dst) must match the demand this policy already manages. - [[nodiscard]] std::pair rebalance_demand(FlowGraph& fg, - NodeId src, NodeId dst, - FlowClass flowClass, - double target_per_flow); - - void remove_demand(FlowGraph& fg); - - [[nodiscard]] const std::unordered_map& flows() const noexcept { return flows_; } - - // Pin this policy's demand to explicit path bundles (MPLS-style routing). - // - // One flow is created per USABLE bundle at the next placement, in supply order, - // each permanently bound to its own bundle. A single-path bundle (e.g. from - // make_path_dag / PredDAG.from_edges or ksp) models a strict-ERO LSP: any failed - // hop takes it down. A multi-walk bundle (e.g. an SPF DAG) models a pinned DAG / - // SR-TE-style policy that renormalizes over its surviving walks. - // - // Each bundle is validated against the policy's graph (shape, id ranges, - // edge-endpoint consistency, acyclicity, and an src->dst walk), then pruned - // against the policy's node/edge masks. A bundle with no surviving src->dst walk - // is DOWN: it creates no flow and carries nothing (a pinned path does not - // reroute around failures). Each flow's cost is the min-cost src->dst walk of - // its PRUNED bundle, computed from the graph's edge costs. - // - // With static paths configured the policy neither creates additional flows nor - // reoptimizes: max_path_cost, max_path_cost_factor, min_flow_count and - // reoptimize_flows_on_each_placement are inert. EqualBalanced spreads over the - // usable (up) bundles only and equalizes the carried volume per bundle; - // EqualBalancedLossy offers each up bundle an equal - // share and lets it carry what fits (no equalizing rebalance), so placed is the - // delivered total. flow_count() reports the usable count U; the supplied count - // N is the caller's, so down LSPs = N - flow_count(). - // - // Throws std::invalid_argument if bundles is empty, the policy already holds - // flows (remove_demand() first), shortest_path=true is configured (single- - // augmentation IP semantics contradict pinned multi-LSP placement), src/dst is - // invalid or src == dst, a user-supplied max_flow_count differs from - // bundles.size(), or any bundle is malformed. Calling again before placement - // replaces the previous pinning. - void set_static_paths(NodeId src, NodeId dst, std::vector bundles); - -private: - // Helpers - // Throws std::invalid_argument if fg wraps a different graph than this policy, or if - // (src, dst) differs from the demand already managed here. `what` names the caller. - void check_demand_target(const FlowGraph& fg, NodeId src, NodeId dst, const char* what) const; - // Placement core: target computation, flow creation, round-robin placement, and - // the optional post-placement reoptimization. The public place_demand() wraps it - // with the iterative EqualBalanced rebalance rounds. - [[nodiscard]] std::pair place_demand_body(FlowGraph& fg, - NodeId src, NodeId dst, - FlowClass flowClass, - double volume, - std::optional target_per_flow, - std::optional min_flow); - [[nodiscard]] std::optional> get_path_bundle(const FlowGraph& fg, - NodeId src, NodeId dst, - std::optional min_flow); - [[nodiscard]] FlowRecord* create_flow(FlowGraph& fg, NodeId src, NodeId dst, FlowClass flowClass, - std::optional min_flow); - [[nodiscard]] FlowRecord* reoptimize_flow(FlowGraph& fg, const FlowIndex& idx, double headroom); - // Next fresh index for this policy; throws if the FlowGraph already holds it - // (another policy managing the same (src, dst, flowClass) on this FlowGraph). - [[nodiscard]] FlowIndex next_flow_index(const FlowGraph& fg, NodeId src, NodeId dst, FlowClass flowClass); - - // Config - ExecutionContext ctx_; - PathAlg path_alg_ { PathAlg::SPF }; - FlowPlacement flow_placement_ { FlowPlacement::Proportional }; - EdgeSelection selection_ { EdgeSelection{} }; - bool require_capacity_ { true }; - bool multipath_ { true }; - bool shortest_path_ { false }; - int min_flow_count_ { 1 }; - std::optional max_flow_count_ {}; - std::optional max_path_cost_ {}; - std::optional max_path_cost_factor_ {}; - bool reoptimize_flows_on_each_placement_ { false }; - int max_no_progress_iterations_ { 100 }; - int max_total_iterations_ { 10000 }; - bool diminishing_returns_enabled_ { true }; - int diminishing_returns_window_ { 8 }; - double diminishing_returns_epsilon_frac_ { 1e-3 }; - - // Mask storage and views for failure exclusions - std::unique_ptr node_mask_storage_; - std::unique_ptr edge_mask_storage_; - std::span node_mask_ {}; - std::span edge_mask_ {}; - - // State - std::unordered_map flows_; - Cost best_path_cost_ { std::numeric_limits::max() }; - FlowId next_flow_id_ { 0 }; - - // Memo of recent raw SPF results computed by get_path_bundle(), used only in - // EqualBalanced mode. SPF is a pure function of (graph, selection, multipath, - // node_mask, src, dst, residual, edge_mask); in EB mode everything except - // (src, dst, residual, min_flow) is fixed for the lifetime of the policy (the - // min_flow-derived edge mask is Proportional-only), so those four ARE the key. - // EB placement and rebalance rounds re-request bundles against residual - // content that repeats -- 94% of SPF calls in a measured place/rebalance - // cycle were exact input repeats, largely remove+place round-trips that - // restore identical bytes -- and the memo elides those calls without changing - // any output. Matching is exact: a (uid, version) StateStamp equality is the - // fast path (unchanged FlowGraph implies unchanged content), with a full - // residual memcmp as the content path (catches the round-trips). Proportional - // mode measured 0% repeats, so it skips the memo and pays nothing. Cost gates - // and best_path_cost_ updates still run on every call, hit or miss: they - // depend on mutable policy state. - struct SpfMemoEntry { - NodeId src = -1, dst = -1; - bool with_residual = false; - FlowGraph::StateStamp stamp {0, 0}; - std::vector residual; // key copy; empty when SPF ran residual-blind - bool has_min_flow = false; // toggles require_residual; the value is Proportional-only - PredDAG dag; - Cost dst_cost = 0; - }; - // MRU order: front = most recent. Entry count adapts to graph size so the - // memo stays under ~512 KiB per policy regardless of edge count. - static constexpr std::size_t kSpfMemoMaxEntries = 24; - static constexpr std::size_t kSpfMemoMaxBytes = 512 * 1024; - std::vector spf_memo_; - - // Static paths (optional): usable (mask-pruned) bundles, one flow per bundle. - struct StaticBundle { - PredDAG dag; // pruned to mask-surviving entries - Cost cost {0}; // min-cost src->dst walk within the pruned bundle - }; - NodeId static_src_ {-1}; - NodeId static_dst_ {-1}; - int static_supplied_count_ {0}; // N as supplied; usable U = static_bundles_.size() - std::vector static_bundles_; - - [[nodiscard]] bool has_static_paths() const noexcept { return !static_bundles_.empty() || static_supplied_count_ > 0; } -}; - -} // namespace netgraph::core diff --git a/include/netgraph/core/flow_state.hpp b/include/netgraph/core/flow_state.hpp deleted file mode 100644 index 6fe9c20..0000000 --- a/include/netgraph/core/flow_state.hpp +++ /dev/null @@ -1,112 +0,0 @@ -/* - FlowState — per-edge residual/flow tracking and placement helpers. - Implements proportional (WCMP-like) and equal-balanced (ECMP) placements - over shortest-path (Dijkstra) predecessor DAGs. - ECMP = Equal-Cost Multi-Path; WCMP = Weighted-Cost Multi-Path. -*/ -#pragma once - -#include -#include -#include -#include - -#include "netgraph/core/shortest_paths.hpp" -#include "netgraph/core/strict_multidigraph.hpp" -#include "netgraph/core/types.hpp" -#include "netgraph/core/max_flow.hpp" - -namespace netgraph::core { - -// FlowState maintains per-edge residual capacity and per-edge placed flow for a -// given immutable StrictMultiDiGraph. It places flow on a predecessor DAG (PredDAG) -// using either proportional or equal-balanced strategies, updating internal -// residuals deterministically. -class FlowState { -public: - explicit FlowState(const StrictMultiDiGraph& g); - FlowState(const StrictMultiDiGraph& g, std::span residual_init); - ~FlowState() noexcept = default; - - // Reset residual to the graph's initial capacities and clear edge_flow. - void reset() noexcept; - void reset(std::span residual_init); - - // Views over internal buffers (length == g.num_edges()). - [[nodiscard]] std::span capacity_view() const noexcept { return g_->capacity_view(); } - [[nodiscard]] std::span residual_view() const noexcept { return residual_; } - [[nodiscard]] std::span edge_flow_view() const noexcept { return edge_flow_; } - - // Access underlying graph (const). - [[nodiscard]] const StrictMultiDiGraph& graph() const noexcept { return *g_; } - - // Mutating placement along a given PredDAG tier between src and dst. - // requested_flow may be +inf. Returns the amount actually placed. - // - // EqualBalanced semantics here are *single-pass ECMP admission*: - // - Use the supplied DAG and fixed equal per-edge splits per (u->v) group. - // - Compute one global scale: min_g cap_rev[g] / assigned[g], - // where cap_rev[g] = min_edge_residual(g) * |E_g| - // (enforces equal per-edge shares), - // assigned[g] = unit-demand load on group g under equal splits. - // - Place once and return. The split set is every DAG edge with capacity, - // so a member filled since the DAG was built yields scale 0 and nothing - // is placed; progression past a full member comes from recomputing the - // DAG with a residual-aware SPF, not from re-invoking this on a stale one. - // - // EqualBalancedLossy splits over the same capacity-based set without scaling: - // each edge carries min(share, residual), the excess is dropped, and the - // returned amount is what reaches dst. When `drops` is given it receives one - // (edge, dropped) entry per edge that dropped flow. Drops are recorded only - // for finite requested_flow; an infinite request fills every source edge and - // records no drops. Other placements never write to `drops`. - [[nodiscard]] Flow place_on_dag(NodeId src, NodeId dst, - const PredDAG& dag, - Flow requested_flow, - FlowPlacement placement, - // Optional trace collector to record per-edge allocations applied by this call - std::vector>* trace = nullptr, - // Optional collector for per-edge dropped volume (EqualBalancedLossy only) - std::vector>* drops = nullptr); - - // Convenience: run repeated placements until exhaustion (or single tier when - // shortest_path=true). Returns total placed flow. Uses internal residual. - // - // require_capacity: Whether to require edges to have capacity. - // - true (default): Routes adapt to residuals (SDN/TE behavior). - // - false: Routes based on costs only (IP/IGP behavior). - // - // NOTE: With FlowPlacement::EqualBalanced + require_capacity=true, this behaves as a - // progressive "fill": it recomputes the SPF DAG after each saturation. That is *not* - // the single-pass ECMP admission used by place_on_dag(). For IP ECMP, use - // require_capacity=false + shortest_path=true + EqualBalanced. - [[nodiscard]] Flow place_max_flow(NodeId src, NodeId dst, - FlowPlacement placement, - bool shortest_path = false, - bool require_capacity = true, - std::span node_mask = {}, - std::span edge_mask = {}); - - // Compute min-cut (edges crossing from reachable set S to unreachable set T) - // based on reachability in the current residual graph. - // Reachability starts from source s; forward arcs allowed if residual > kMinCap, - // reverse arcs allowed if flow > kMinFlow. - [[nodiscard]] MinCut compute_min_cut(NodeId src, - std::span node_mask = {}, - std::span edge_mask = {}) const; - - // Apply or revert a set of edge flow allocations directly. - // When add==true, treats each (eid, flow) as additional placed flow on the edge. - // When add==false, removes placed flow (reverts allocations), clamping to [0, capacity]. - // NOTE: residual is recomputed as capacity - edge_flow, so for a FlowState built with - // a custom residual_init this discards the initial offset. Entries with flow <= 0 and - // out-of-range edge ids are ignored. - void apply_deltas(std::span> deltas, bool add) noexcept; - -private: - const StrictMultiDiGraph* g_ {nullptr}; - std::vector residual_; - std::vector edge_flow_; -}; - -} // namespace netgraph::core diff --git a/include/netgraph/core/k_shortest_paths.hpp b/include/netgraph/core/k_shortest_paths.hpp deleted file mode 100644 index 0af8f20..0000000 --- a/include/netgraph/core/k_shortest_paths.hpp +++ /dev/null @@ -1,26 +0,0 @@ -/* Yen-like K-shortest paths with SPF-compatible outputs per-path. */ -#pragma once - -#include -#include - -#include "netgraph/core/strict_multidigraph.hpp" -#include "netgraph/core/shortest_paths.hpp" -#include "netgraph/core/types.hpp" - -namespace netgraph::core { - -// Compute up to k shortest paths from s to t (Yen-like) and return -// SPF-compatible outputs per path: (distances, predecessor DAG). -// Distances are Cost[N] (int64); unreachable entries are set to -// std::numeric_limits::max(). PredDAG encodes one concrete path with a -// single parent per node along the path; other nodes have no parents. -// Deterministic tie-breaking across equal-cost edges uses compacted edge order. -[[nodiscard]] std::vector, PredDAG>> k_shortest_paths( - const StrictMultiDiGraph& g, NodeId src, NodeId dst, - int k, std::optional max_cost_factor, - bool unique, - std::span node_mask = {}, - std::span edge_mask = {}); - -} // namespace netgraph::core diff --git a/include/netgraph/core/max_flow.hpp b/include/netgraph/core/max_flow.hpp index 347b30d..2fc7052 100644 --- a/include/netgraph/core/max_flow.hpp +++ b/include/netgraph/core/max_flow.hpp @@ -1,7 +1,9 @@ -/* Max-flow utility APIs with summaries and batch evaluation. */ +/* The one integer minimum-cost flow core (APPROACH 2.2). */ #pragma once #include +#include +#include #include #include @@ -10,80 +12,50 @@ namespace netgraph::core { -struct MinCut { std::vector edges; }; - -struct FlowSummary { - Flow total_flow {0.0}; - MinCut min_cut {}; - // Parallel arrays: costs[i] carries placed flow flows[i]. Costs are ascending and - // unique; flows are raw volumes (not normalized). - // - // Entries from the SPF tier loop are the total cost of the shortest-path DAG used. - // Entries produced by the residual completion phase are MARGINAL costs: the cost of - // the augmenting path's forward edges minus the cost of the flow it cancelled. Such - // an entry need not correspond to any traversable s-t path, so treat costs[] as a - // cost-weighted breakdown of the total flow rather than a list of path costs. - std::vector costs; - std::vector flows; - std::vector edge_flows; // filled if requested - // Optional large arrays; populated only when requested via API flags - std::vector residual_capacity; // length == g.num_edges() - std::vector reachable_nodes; // length == g.num_nodes(); 0/1 flags +// Potential of a vertex that no Dijkstra run of the call settled. Potentials are otherwise +// non-negative path costs, so the sentinel never collides. +inline constexpr Cost kNeverReached = -1; +// Upper bound of the internal value cap; also the capacity of the virtual source and sink arcs, +// strictly above every attainable value (below 2^62), so a virtual arc never saturates. +inline constexpr Amount kMaxFlowCap = INT64_MAX - 1; + +// Operation counters of one call: diagnostics for the performance gate's drift check, identical +// across identical calls, never an oracle. Virtual vertices and arcs count like real ones. +struct FlowCoreCounters { + std::int64_t dijkstra_runs {0}; // every run, the final failed one included + std::int64_t dijkstra_pops {0}; // heap pops, stale ones included + std::int64_t settled {0}; // vertices finalised, summed over runs + std::int64_t arc_scans {0}; // arcs examined by Dijkstra, Dinic BFS and DFS advance + std::int64_t dinic_phases {0}; // BFS level builds, the last unsuccessful one of a tier included + std::int64_t augmentations {0}; // DFS paths pushed }; -// Computes maximum flow from src to dst. -// -// The SPF tier loop augments along forward shortest-path DAGs only. For -// FlowPlacement::Proportional with require_capacity=true and shortest_path=false a -// residual completion phase then augments with reverse arcs, so the result is a true -// maximum flow and summary.min_cut satisfies max-flow/min-cut duality. -// -// The other configurations are placement models rather than max-flow computations and -// may report less than the maximum: EqualBalanced models single-pass ECMP admission, -// require_capacity=false models fixed cost-only IP routing, and shortest_path=true -// restricts flow to the first cost tier. -[[nodiscard]] std::pair -calc_max_flow(const StrictMultiDiGraph& g, NodeId src, NodeId dst, - FlowPlacement placement, bool shortest_path, - bool require_capacity, - bool with_edge_flows, - bool with_reachable, - bool with_residuals, - std::span node_mask = {}, - std::span edge_mask = {}); - -[[nodiscard]] std::vector -batch_max_flow(const StrictMultiDiGraph& g, - const std::vector>& pairs, - FlowPlacement placement, bool shortest_path, - bool require_capacity, - bool with_edge_flows, - bool with_reachable, - bool with_residuals, - const std::vector>& node_masks = {}, - const std::vector>& edge_masks = {}); +// The private payload of _place_global_units. +struct FlowCoreResult { + Amount placed {0}; + // The marginal cost curve: (cost, units) with costs strictly increasing and units positive. + std::vector> cost_distribution {}; + std::vector edge_flows {}; // per edge, id order + // Edges with positive view from the full residual closure of the real sources to its + // complement, ascending id; nullopt while the destinations stay connected (a cap stopped the + // solve) and on an input cap of 0. + std::optional> min_cut {}; + std::vector potentials {}; // per node; kNeverReached when never settled + FlowCoreCounters counters {}; +}; -// Performs sensitivity analysis to identify edges that constrain flow. -// -// Computes baseline flow (using full max-flow or shortest-path-only mode), -// then tests removing each saturated edge to measure its criticality. -// -// Arguments: -// g: The input graph. -// src, dst: Source and destination nodes. -// placement: Flow placement strategy. -// shortest_path: If true, uses single-pass shortest-path flow (IP/IGP mode). -// If false, uses full iterative max-flow (SDN/TE mode). -// require_capacity: If true, excludes saturated edges from routing. -// node_mask, edge_mask: Optional masks to exclude nodes/edges. -// -// Returns: -// Pairs of (EdgeId, FlowDelta) for edges whose removal reduces flow. -[[nodiscard]] std::vector> -sensitivity_analysis(const StrictMultiDiGraph& g, NodeId src, NodeId dst, - FlowPlacement placement, bool shortest_path, - bool require_capacity, - std::span node_mask = {}, - std::span edge_mask = {}); +// Minimum-cost flow of the maximum value attainable under `cap` from the source set to the +// destination set over the eligible edges, on the capacities `view` (units, id order). Every +// solve starts from zero flow. `cap` nullopt is uncapped; an input cap of 0 returns the zero +// payload without running a search. Throws std::invalid_argument before any work for a view of +// the wrong length or with an entry outside [0, capacity_units[e]], an empty or out-of-range +// endpoint set, a vertex in both sets, a cap outside [0, 2^63 - 2], or a foreign Eligibility. +// Excluded endpoints are skipped. +[[nodiscard]] FlowCoreResult place_global_units(const StrictMultiDiGraph& g, + std::span view, + std::span sources, + std::span destinations, + const Eligibility* elig, + std::optional cap); } // namespace netgraph::core diff --git a/include/netgraph/core/options.hpp b/include/netgraph/core/options.hpp deleted file mode 100644 index c084e4b..0000000 --- a/include/netgraph/core/options.hpp +++ /dev/null @@ -1,50 +0,0 @@ -/* Option structs for algorithm invocations to keep interfaces concise. */ -#pragma once - -#include -#include - -#include "netgraph/core/types.hpp" - -namespace netgraph::core { - -struct SpfOptions { - bool multipath { true }; - EdgeSelection selection {}; - std::optional dst {}; - std::span residual {}; - std::span node_mask {}; - std::span edge_mask {}; -}; - -// Options for shortest_paths_to (reverse SPF toward one destination). See -// shortest_paths.hpp for the semantics of fanout_edges. -struct SpfToOptions { - bool multipath { true }; - EdgeSelection selection {}; - std::span residual {}; - std::span node_mask {}; - std::span edge_mask {}; - std::span fanout_edges {}; -}; - -struct KspOptions { - int k { 1 }; - std::optional max_cost_factor {}; - bool unique { true }; - std::span node_mask {}; - std::span edge_mask {}; -}; - -struct MaxFlowOptions { - FlowPlacement placement { FlowPlacement::Proportional }; - bool shortest_path { false }; - bool require_capacity { true }; // Require edges to have capacity (SDN/TE). Set false for cost-only routing (IP/IGP) - bool with_edge_flows { false }; - bool with_reachable { false }; - bool with_residuals { false }; - std::span node_mask {}; - std::span edge_mask {}; -}; - -} // namespace netgraph::core diff --git a/include/netgraph/core/profiling.hpp b/include/netgraph/core/profiling.hpp index 40eb9ea..19b9287 100644 --- a/include/netgraph/core/profiling.hpp +++ b/include/netgraph/core/profiling.hpp @@ -12,12 +12,8 @@ When disabled (default), each instrumented scope costs one cached-bool check. // ... function body ... } -From Python: - import netgraph_core as ngc - # Run with NGRAPH_CORE_PROFILE=1 python script.py - if ngc.profiling_enabled(): - ngc.profiling_dump() # Print stats to stderr - ngc.profiling_reset() # Clear stats +From Python: the accessors return with the diagnostics module of the streamlined API +(sub-PR 1d); until then the statistics are reachable from C++ only. */ #pragma once diff --git a/include/netgraph/core/shortest_paths.hpp b/include/netgraph/core/shortest_paths.hpp deleted file mode 100644 index 5c86a93..0000000 --- a/include/netgraph/core/shortest_paths.hpp +++ /dev/null @@ -1,170 +0,0 @@ -/* Shortest paths (Dijkstra) with multipath predecessor DAG support. */ -#pragma once - -#include -#include -#include -#include - -#include "netgraph/core/strict_multidigraph.hpp" -#include "netgraph/core/types.hpp" - -namespace netgraph::core { - -// PredDAG (Predecessor Directed Acyclic Graph): compact representation of the equal-cost -// shortest paths from a source node. Stored in CSR format for efficiency. -// -// The DAG is always acyclic. With strictly positive edge costs it captures *every* -// equal-cost shortest path. Zero-cost edges are the one exception: a predecessor is -// recorded only while the child is still unsettled, so among nodes that are mutually -// reachable at equal distance the settle order decides which alternatives are kept. -// Without that rule a zero-cost pair u<->v would record each node as the other's -// parent, making the structure cyclic and path enumeration non-terminating. -// -// For each node v, predecessors are stored in parents[parent_offsets[v]:parent_offsets[v+1]] -// with corresponding EdgeIds in via_edges[parent_offsets[v]:parent_offsets[v+1]]. -// Multiple parallel edges are represented by multiple entries with the same parent. -// parent_offsets has length N+1 (like CSR row pointers). -struct PredDAG { - std::vector parent_offsets; // Length N+1 (CSR row pointers) - std::vector parents; // Predecessor node IDs - std::vector via_edges; // EdgeId used to reach node from predecessor -}; - -// Frontier queue used by shortest_paths / shortest_paths_to. Both queues pop in -// the same (cost, -bottleneck, node) order and produce bit-identical results; -// the bucket queue is faster when the graph's costs fit a bounded number of -// buckets (max_cost / gcd(costs) + 1 <= 65536), and the heap is used otherwise. -// Auto (the default) applies that rule, or the process-wide override -// NGRAPH_CORE_SPF_QUEUE=heap|bucket read once from the environment. Heap forces -// the reference binary heap; Bucket prefers the bucket queue when the graph is -// eligible. This parameter exists for tests and benchmarks; the Python bindings -// do not expose it. -enum class SpfQueue { Auto, Heap, Bucket }; - -// Compute shortest paths from src using Dijkstra's algorithm. -// Returns (distances, predecessor_dag) where distances[v] is the shortest cost to reach v -// (or inf if unreachable), and predecessor_dag encodes the shortest path structure. -// -// Parameters: -// - dst: if provided, algorithm may exit early once destination is reached -// - multipath: if true, keep all equal-cost predecessors; if false, keep one per node -// (in single-path mode, ties are broken by preferring higher bottleneck capacity) -// - selection: edge selection policy (multi-edge, capacity filtering, tie-breaking) -// - residual: if provided, use these capacities instead of graph's original capacities. -// Passing a non-empty 'residual' span forces capacity gating: -// edges with residual < kMinCap are excluded from exploration. -// For EB semantics this means re-running SPF on updated residuals -// will remove saturated next-hops and therefore *change* the fixed -// equal-split set (progressive behavior). -// - node_mask: if provided, node_mask[v]==true means node v is allowed (false excludes it). -// If the source node is masked (node_mask[src]==false), returns an empty predecessor DAG -// with all distances at infinity, as no traversal can begin from an excluded source. -// - edge_mask: if provided, edge_mask[e]==true means edge e is allowed (false excludes it) -[[nodiscard]] std::pair, PredDAG> -shortest_paths(const StrictMultiDiGraph& g, NodeId src, - std::optional dst, - bool multipath, - const EdgeSelection& selection, - std::span residual = {}, - std::span node_mask = {}, - std::span edge_mask = {}, - SpfQueue queue = SpfQueue::Auto); - -// Destination-limited search that returns only what placement needs: the cost -// of dst (INT64_MAX when unreachable, or when src/dst is invalid or masked) and -// the predecessor DAG. Semantics and the DAG are exactly those of -// shortest_paths(g, src, dst, ...); only the N-sized distance vector is not -// materialised (the DAG is still indexed by node id). Used by max-flow, -// FlowPolicy and KSP, which inspect no other distance. -[[nodiscard]] std::pair -shortest_paths_dag(const StrictMultiDiGraph& g, NodeId src, NodeId dst, - bool multipath, - const EdgeSelection& selection, - std::span residual = {}, - std::span node_mask = {}, - std::span edge_mask = {}, - SpfQueue queue = SpfQueue::Auto); - -// Build the SPF-compatible (distances, PredDAG) pair for one concrete path given -// as node/edge sequences (nodes[i] -> nodes[i+1] via edges[i]; so nodes.size() == -// edges.size() + 1, or a single node with no edges). Distances are cumulative edge -// costs along the path, INT64_MAX elsewhere; the DAG stores one parent per visited -// node. Inputs are trusted (no validation) -- used by KSP's result conversion. -[[nodiscard]] std::pair, PredDAG> -path_to_pred_dag(const StrictMultiDiGraph& g, - std::span nodes, - std::span edges); - -// Build a single-path PredDAG from a contiguous edge sequence (the missing -// constructor for operator-defined explicit paths; PredDAGs from SPF/KSP work -// directly wherever a PredDAG is accepted). -// -// Throws std::invalid_argument if edges is empty, any id is out of range, the -// sequence is not contiguous (dst(e_i) != src(e_{i+1})), or the walk repeats a -// node (a repeated node cannot be represented as one-parent-per-node, and a -// pinned path is a simple path by definition). -[[nodiscard]] PredDAG make_path_dag(const StrictMultiDiGraph& g, - std::span edges); - -// Build a PredDAG for one explicit route whose hops may each use several -// parallel edges: hops[i] lists the edges of hop i, all joining the same -// (u, v) pair, and hop i's head is hop i+1's tail. Every listed edge becomes a -// parent entry of its hop's head node, in the given order, so placement splits -// across the bundle exactly as it does on an SPF multipath DAG. make_path_dag -// is the single-edge-per-hop case. Throws std::invalid_argument on an empty -// route or hop, an id out of range, an edge repeated within a hop, hop edges -// that are not parallel, non-contiguous hops, or a repeated node. -[[nodiscard]] PredDAG make_hops_dag(const StrictMultiDiGraph& g, - std::span> hops); - -// Enumerate concrete paths represented by a PredDAG from src to dst. -// Each path is returned as a sequence of (node_id, (edge_ids...)) pairs ending with (dst, ()). -// When split_parallel_edges=false, parallel edges per hop are grouped in the tuple. -// When true, the cartesian product over parallel edges is enumerated, yielding one -// concrete single-edge path per combination; cap it with max_paths. -// Enumeration is exponential in the DAG's branching, so pass max_paths on wide ECMP DAGs. -// NOTE: this function does not release the Python GIL when called through the bindings. -[[nodiscard]] std::vector>>> -resolve_to_paths(const PredDAG& dag, NodeId src, NodeId dst, - bool split_parallel_edges = false, - std::optional max_paths = std::nullopt); - -} // namespace netgraph::core - -namespace netgraph::core { - -// Compute shortest paths *to* dst from every node (Dijkstra over the in-adjacency). -// Returns (distances, dag) where distances[u] is the cost of a shortest u -> dst walk -// (INT64_MAX if none) and dag is a forward-oriented PredDAG: parents[v] holds (u, e) -// for every edge e = u -> v that lies on a shortest u -> dst walk. Unlike a DAG from -// shortest_paths(), which is rooted at one source, this DAG is valid for placement -// from *any* node toward dst, and every walk it contains from a node u to dst has -// cost distances[u]. It is the union of the per-source shortest-path DAGs toward dst. -// -// Parameters mirror shortest_paths(): multipath keeps every equal-cost successor per -// node (false keeps one, preferring higher bottleneck capacity toward dst); -// selection, residual, node_mask and edge_mask apply as there. Zero-cost edges get -// the same acyclicity guard (a successor is recorded only while its node is -// unsettled). -// -// fanout_edges: edges to add to the DAG regardless of cost, modelling an origin -// whose first hop is decided by a traffic split rather than by routing (e.g. a -// pseudo source whose demand originates evenly at every attached real source). -// Each edge u -> v is added as a parent entry of v when it passes the masks and -// capacity gate and v has a finite distance; entries the SPF already recorded are -// not duplicated, and distances[u] is set to cost(e) + distances[v] if u was -// unreachable. Every fanout edge must leave a node that has no incoming DAG entry, -// so the result stays acyclic; a violating edge throws std::invalid_argument, as -// does an out-of-range edge id. -[[nodiscard]] std::pair, PredDAG> -shortest_paths_to(const StrictMultiDiGraph& g, NodeId dst, - bool multipath, - const EdgeSelection& selection, - std::span residual = {}, - std::span node_mask = {}, - std::span edge_mask = {}, - std::span fanout_edges = {}, - SpfQueue queue = SpfQueue::Auto); - -} // namespace netgraph::core diff --git a/include/netgraph/core/strict_multidigraph.hpp b/include/netgraph/core/strict_multidigraph.hpp index 42531bc..d34b722 100644 --- a/include/netgraph/core/strict_multidigraph.hpp +++ b/include/netgraph/core/strict_multidigraph.hpp @@ -1,4 +1,4 @@ -/* Immutable directed multigraph with CSR and reverse CSR adjacency. */ +/* The one graph type: an immutable directed multigraph on integer units (APPROACH 3). */ #pragma once #include @@ -9,80 +9,114 @@ namespace netgraph::core { -// Edge identifiers: -// - EdgeId: index into the graph's internal edge arrays (0-based). -// Edges are reordered during construction by (cost, src, dst) for deterministic traversal. -// - External edge IDs (ext_edge_ids): optional user-provided identifiers (e.g., your database IDs) -// that are reordered alongside edges, allowing results to reference edges using stable, -// application-level IDs instead of internal EdgeId indices. +class Eligibility; +// Converts a physical value to units of the resolution q, rounding half up. The only way a +// physical number enters Core. Throws std::invalid_argument for NaN, infinity, a negative value, +// a result at or above the domain bound 2^62, or a resolution that is not a power of two in +// [2^-32, 2^32]. +[[nodiscard]] Amount to_units(double x, double resolution); +// Units to a physical double (x * q): exact below 2^53 units. +[[nodiscard]] double as_float(Amount x, double resolution); + +// Edges are given in input order. The public EdgeId of an edge is its rank in the stable order +// (src, cost, dst, input): the out-edges of u are exactly the ids [row_offsets()[u], +// row_offsets()[u + 1]) in traversal order (cost, dst, input), and input_index()[e] is the input +// position of e. Every other per-edge array is in id order. The reverse CSR lists the in-edges +// of v in (cost, src, input) order. +// +// The constructor validates in this order and reports the first defect (std::invalid_argument): +// the resolution (a power of two in [2^-32, 2^32]); the unit values (every capacity in +// [0, 2^62)); the array shapes (num_nodes >= 0, equal lengths, at most INT32_MAX edges); zero +// or negative costs (costs are positive, rule 28); the remaining bounds (endpoints in +// [0, num_nodes), then the sum of all capacities and the sum of all costs below 2^62, so no path +// cost overflows int64). This is APPROACH 3's order (revision 25); a language binding validates +// in the same order before narrowing any value, so the reported defect does not depend on the +// representation of the input. +// +// A copy is a new graph: same ids and input map, a new uid. Uids come from one process-wide +// 64-bit counter and are never reused. class StrictMultiDiGraph { public: - // Builds a graph from parallel edge arrays, which must all have the same length. - // Edges are reordered by (cost, src, dst); ext_edge_ids is permuted alongside them. - // Self-loops and duplicate (src, dst) pairs are permitted (this is a multigraph). - // - // Throws std::invalid_argument or std::out_of_range if: - // - the arrays differ in length, or ext_edge_ids is neither empty nor that length - // - num_nodes < 0, or any src/dst falls outside [0, num_nodes) - // - any capacity < 0, or any cost < 0 - // - the number of edges exceeds INT32_MAX - // - the TOTAL of all edge costs reaches 2^62. SPF accumulates path costs as int64 - // and uses INT64_MAX as the unreachable sentinel, so a larger total could wrap - // negative and silently corrupt results. - [[nodiscard]] static StrictMultiDiGraph from_arrays( - std::int32_t num_nodes, - std::span src, - std::span dst, - std::span capacity, - std::span cost, - std::span ext_edge_ids = {}); + StrictMultiDiGraph(std::int32_t num_nodes, + std::span src, + std::span dst, + std::span capacity_units, + std::span cost, + double resolution); + StrictMultiDiGraph(const StrictMultiDiGraph& other); + StrictMultiDiGraph(StrictMultiDiGraph&& other) noexcept; + StrictMultiDiGraph& operator=(const StrictMultiDiGraph&) = delete; + StrictMultiDiGraph& operator=(StrictMultiDiGraph&&) = delete; ~StrictMultiDiGraph() noexcept = default; + [[nodiscard]] std::uint64_t uid() const noexcept { return uid_; } + [[nodiscard]] double resolution() const noexcept { return resolution_; } [[nodiscard]] std::int32_t num_nodes() const noexcept { return num_nodes_; } - [[nodiscard]] std::int32_t num_edges() const noexcept { return static_cast(edges_); } - - [[nodiscard]] std::span capacity_view() const noexcept { return capacity_; } - [[nodiscard]] std::span cost_view() const noexcept { return cost_; } - // Cost summary recorded at construction (0 for a graph without edges): - // the largest edge cost, and the gcd of all edge costs (0 when every cost is - // 0). SPF uses them to size its bucket queue; see shortest_paths.cpp. + [[nodiscard]] std::int32_t num_edges() const noexcept { + return static_cast(capacity_.size()); + } + [[nodiscard]] std::span capacity_units() const noexcept { return capacity_; } + [[nodiscard]] std::span cost() const noexcept { return cost_; } + [[nodiscard]] std::span edge_src() const noexcept { return src_; } + [[nodiscard]] std::span edge_dst() const noexcept { return dst_; } + // Full scans at construction; 0 on a graph without edges. [[nodiscard]] Cost max_cost() const noexcept { return max_cost_; } [[nodiscard]] Cost cost_gcd() const noexcept { return cost_gcd_; } - [[nodiscard]] std::span edge_src_view() const noexcept { return src_; } - [[nodiscard]] std::span edge_dst_view() const noexcept { return dst_; } - [[nodiscard]] std::span ext_edge_ids_view() const noexcept { return ext_edge_ids_; } - // CSR (Compressed Sparse Row) adjacency: for each node u, outgoing edges are in - // col_indices[row_offsets[u]:row_offsets[u+1]] with corresponding EdgeIds in adj_edge_index. - [[nodiscard]] std::span row_offsets_view() const noexcept { return row_offsets_; } - [[nodiscard]] std::span col_indices_view() const noexcept { return col_indices_; } - [[nodiscard]] std::span adj_edge_index_view() const noexcept { return adj_edge_index_; } - // Reverse CSR (incoming edges): for each node v, incoming edges are in - // in_col_indices[in_row_offsets[v]:in_row_offsets[v+1]] with EdgeIds in in_adj_edge_index. - [[nodiscard]] std::span in_row_offsets_view() const noexcept { return in_row_offsets_; } - [[nodiscard]] std::span in_col_indices_view() const noexcept { return in_col_indices_; } - [[nodiscard]] std::span in_adj_edge_index_view() const noexcept { return in_adj_edge_index_; } + // id -> input position. The inverse permutation is the caller's (one O(E) scatter). + [[nodiscard]] std::span input_index() const noexcept { return input_index_; } + // Forward CSR offsets (N + 1 entries, [0] = 0, [N] = E): the id ranges of the out-edges. + [[nodiscard]] std::span row_offsets() const noexcept { return row_offsets_; } + // Reverse CSR: the in-edges of v are in_adj_edge_index()[in_row_offsets()[v] .. + // in_row_offsets()[v + 1]) (public EdgeIds); the reverse column is + // edge_src()[in_adj_edge_index()[slot]]. + [[nodiscard]] std::span in_row_offsets() const noexcept { return in_row_offsets_; } + [[nodiscard]] std::span in_adj_edge_index() const noexcept { return in_adj_edge_index_; } + + // Static eligibility from excluded ids (duplicates and unsorted lists accepted, out-of-range + // ids rejected). Empty lists mean all allowed (uid 0). + [[nodiscard]] Eligibility eligibility(std::span excluded_nodes = {}, + std::span excluded_edges = {}) const; private: - // Core storage (edges may be reordered in compact form) + std::uint64_t uid_ {0}; + double resolution_ {1.0}; std::int32_t num_nodes_ {0}; - std::size_t edges_ {0}; Cost max_cost_ {0}; Cost cost_gcd_ {0}; - std::vector capacity_ {}; + std::vector capacity_ {}; std::vector cost_ {}; std::vector src_ {}; std::vector dst_ {}; - std::vector ext_edge_ids_ {}; // External edge IDs (reordered with edges) - - // CSR adjacency for deterministic traversal (always built deterministically) + std::vector input_index_ {}; std::vector row_offsets_ {}; - std::vector col_indices_ {}; - std::vector adj_edge_index_ {}; // map CSR entry -> EdgeId - // Reverse CSR (incoming adjacency) std::vector in_row_offsets_ {}; - std::vector in_col_indices_ {}; std::vector in_adj_edge_index_ {}; }; +// Immutable, graph-bound static eligibility: dense node and edge flags. An edge is allowed when +// it is not excluded and both of its endpoints are allowed. +class Eligibility { +public: + [[nodiscard]] std::uint64_t graph_uid() const noexcept { return graph_uid_; } + // 0 for the all-allowed value; a fresh uid otherwise. + [[nodiscard]] std::uint64_t uid() const noexcept { return uid_; } + [[nodiscard]] std::span node_allowed() const noexcept { return node_allowed_; } + [[nodiscard]] std::span edge_allowed() const noexcept { return edge_allowed_; } + [[nodiscard]] bool node_ok(NodeId v) const noexcept { + return node_allowed_[static_cast(v)] != 0; + } + [[nodiscard]] bool edge_ok(EdgeId e) const noexcept { + return edge_allowed_[static_cast(e)] != 0; + } + +private: + friend class StrictMultiDiGraph; + Eligibility() = default; + std::uint64_t graph_uid_ {0}; + std::uint64_t uid_ {0}; + std::vector node_allowed_ {}; + std::vector edge_allowed_ {}; +}; + } // namespace netgraph::core diff --git a/include/netgraph/core/types.hpp b/include/netgraph/core/types.hpp index 10c5236..af7efd5 100644 --- a/include/netgraph/core/types.hpp +++ b/include/netgraph/core/types.hpp @@ -1,106 +1,23 @@ -/* Core type aliases and helper structs. */ +/* Core type aliases and the bounds of the units domain (APPROACH 2.1). */ #pragma once #include -#include namespace netgraph::core { -// Node and edge identifiers are signed 32-bit integers. +// Node and edge identifiers are signed 32-bit integers. An EdgeId is the rank of the edge in +// the stable order (src, cost, dst, input) of its graph (layout B'); the input position of an +// edge is StrictMultiDiGraph::input_index()[e]. using NodeId = std::int32_t; using EdgeId = std::int32_t; -using Cost = std::int64_t; // Path cost (64-bit for large accumulations) -using Cap = double; // Edge capacity -using Flow = double; // Flow amount (same unit as capacity) - -using FlowClass = std::int32_t; // Flow priority/class bucket -using FlowId = std::int64_t; // Unique flow identifier - -// FlowIndex uniquely identifies a flow: (src, dst, class, id). -// Used as a key in unordered_map. -struct FlowIndex { - NodeId src; - NodeId dst; - FlowClass flowClass; // Priority bucket (e.g., for QoS classes) - FlowId flowId; // Unique ID within a FlowPolicy - friend bool operator==(const FlowIndex& a, const FlowIndex& b) noexcept { - return a.src==b.src && a.dst==b.dst && a.flowClass==b.flowClass && a.flowId==b.flowId; - } -}; - -// Hash function for FlowIndex (enables use in std::unordered_map). -struct FlowIndexHash { - std::size_t operator()(const FlowIndex& k) const noexcept { - std::size_t h = 0; - auto combine = [&h](std::size_t v) { - // Hash combine formula - h ^= v + 0x9e3779b97f4a7c15ULL + (h << 6) + (h >> 2); - }; - combine(std::hash{}(k.src)); - combine(std::hash{}(k.dst)); - combine(std::hash{}(k.flowClass)); - combine(std::hash{}(k.flowId)); - return h; - } -}; - -// Flow placement strategy for distributing demand across multiple paths. -// -// IMPORTANT SEMANTICS: -// -// - EqualBalanced models *ECMP admission on a fixed SPF DAG* ("one-shot ECMP"). -// We compute a single global scale so that no edge is oversubscribed under -// equal per-edge splits within each (u->v) group, place once, and stop. -// If you keep injecting after the first bottleneck saturates, you would -// change the split set (or oversubscribe and drop), which is intentionally -// out of scope for EqualBalanced. -// -// - Proportional may be used iteratively (e.g., for max-flow). -// -// - EqualBalanced takes its split set from the DAG edges that have *capacity* -// (the topology's next-hop set) and admits with one global scale computed -// from residual headroom. A member filled since the DAG was built therefore -// blocks admission (scale 0): a forwarding table does not react to load. -// Callers that want to progress past a full member recompute the DAG with a -// residual-aware SPF, as place_max_flow and FlowPolicy do. -// -// - EqualBalancedLossy splits over the same next-hop set without a scale: -// every edge carries min(share, residual) and the excess is dropped, -// deficits propagate downstream, and the placed amount is the volume that -// reaches dst. This is best-effort hash-ECMP forwarding; the dropped share -// per edge is available through the drop trace of place_on_dag. -enum class FlowPlacement { - Proportional = 1, // Distribute flow proportionally to residual capacity (like ECMP with weights) - EqualBalanced = 2, // Equal split over the topology next-hop set, one lossless admission scale - EqualBalancedLossy = 3 // Equal split over the topology next-hop set; excess over residual is dropped -}; - -// Tie-breaking rule when multiple equal-cost edges exist between the same (u,v) pair. -enum class EdgeTieBreak { - Deterministic = 1, // Use edge order from graph construction (reproducible) - PreferHigherResidual = 2 // Prefer the edge with the higher priority value (EdgePriority) -}; - -// Per-edge value that ranks equal-cost alternatives: the PreferHigherResidual -// edge tie-break and the node-level bottleneck ordering (equal-cost nodes -// settle in descending order of the smallest value along their path). It does -// not affect which edges are eligible: capacity gating always uses the residual. -enum class EdgePriority { - Residual = 1, // residual capacity when a residual is supplied, otherwise capacity (default) - Capacity = 2, // static capacity, even when a residual is supplied - Headroom = 3 // residual / capacity: the fraction of the edge still free (1 without a residual) -}; - -// Edge selection policy for shortest path algorithms. -struct EdgeSelection { - // multi_edge: if true, keep all equal-cost parallel edges per (u,v) pair. - // if false, select one edge per (u,v) using tie_break rule. - bool multi_edge { true }; - // require_capacity: if true, only consider edges with residual capacity > kMinCap. - bool require_capacity { false }; - EdgeTieBreak tie_break { EdgeTieBreak::Deterministic }; - // priority: which per-edge value tie_break and the bottleneck ordering rank by. - EdgePriority priority { EdgePriority::Residual }; -}; +// Edge and path costs: positive integers, never converted. +using Cost = std::int64_t; +// An amount: an integer number of units of the graph's resolution. Capacities, views, flows and +// requests are amounts; there is no finer grid. +using Amount = std::int64_t; + +// Exclusive bound of the units domain: every capacity, the sum of all capacities and the sum of +// all edge costs stay below 2^62. +inline constexpr std::int64_t kDomainLimit = std::int64_t{1} << 62; } // namespace netgraph::core diff --git a/python/netgraph_core/__init__.py b/python/netgraph_core/__init__.py index f586db7..222da2d 100644 --- a/python/netgraph_core/__init__.py +++ b/python/netgraph_core/__init__.py @@ -3,6 +3,12 @@ All public symbols are re-exported from the compiled ``_netgraph_core`` module so downstream users import everything from a single place. Typing shims supplied in ``_docs.py`` keep editors happy without affecting runtime behavior. + +The streamlined Core is being rebuilt in sub-PRs (``dev/design/2026-10-streamline``): +this build carries the graph on integer units (``StrictMultiDiGraph``, +``Eligibility``, ``to_units``, ``as_float``) and the private flow-core entry +``_netgraph_core._place_global_units``; the ledger, policies, searches and +evaluators return in the following sub-PRs. """ # pyright: reportMissingImports=false @@ -11,26 +17,10 @@ from typing import TYPE_CHECKING from _netgraph_core import ( - Algorithms, - Backend, - EdgePriority, - EdgeSelection, - EdgeTieBreak, - FlowGraph, - FlowIndex, - FlowPlacement, - FlowPolicy, - FlowPolicyConfig, - FlowState, - FlowSummary, - Graph, - MinCut, - PathAlg, - PredDAG, + Eligibility, StrictMultiDiGraph, - profiling_dump, - profiling_enabled, - profiling_reset, + as_float, + to_units, ) __version__ = version("netgraph-core") @@ -42,48 +32,16 @@ # because it turns "unchecked" into "confidently wrong". if TYPE_CHECKING: # pragma: no cover - typing-only from ._docs import ( # noqa: I001 - Algorithms as Algorithms, - Backend as Backend, - EdgePriority as EdgePriority, - EdgeSelection as EdgeSelection, - EdgeTieBreak as EdgeTieBreak, - FlowGraph as FlowGraph, - FlowIndex as FlowIndex, - FlowPlacement as FlowPlacement, - FlowPolicy as FlowPolicy, - FlowPolicyConfig as FlowPolicyConfig, - FlowState as FlowState, - FlowSummary as FlowSummary, - Graph as Graph, - MinCut as MinCut, - PathAlg as PathAlg, - PredDAG as PredDAG, + Eligibility as Eligibility, StrictMultiDiGraph as StrictMultiDiGraph, - profiling_dump as profiling_dump, - profiling_enabled as profiling_enabled, - profiling_reset as profiling_reset, + as_float as as_float, + to_units as to_units, ) __all__ = [ "__version__", "StrictMultiDiGraph", - "FlowGraph", - "Graph", - "EdgePriority", - "EdgeSelection", - "EdgeTieBreak", - "PathAlg", - "FlowPlacement", - "FlowPolicy", - "FlowPolicyConfig", - "PredDAG", - "FlowIndex", - "FlowState", - "MinCut", - "FlowSummary", - "Backend", - "Algorithms", - "profiling_enabled", - "profiling_dump", - "profiling_reset", + "Eligibility", + "to_units", + "as_float", ] diff --git a/python/netgraph_core/_docs.py b/python/netgraph_core/_docs.py index 9eed25a..bc52196 100644 --- a/python/netgraph_core/_docs.py +++ b/python/netgraph_core/_docs.py @@ -4,12 +4,12 @@ compiled extension. The goal is to provide type hints and help text. TODO: replace this hand-written stub with generated `.pyi` (e.g. via -pybind11-stubgen) to prevent drift from the runtime bindings. +pybind11-stubgen) to prevent drift from the runtime bindings (Phase 5). """ from __future__ import annotations -from typing import TYPE_CHECKING, ClassVar, Optional, Sequence +from typing import TYPE_CHECKING, Sequence, overload if TYPE_CHECKING: # only for typing; runtime comes from extension import numpy as np # type: ignore[reportMissingImports] @@ -17,961 +17,165 @@ # to prevent circular imports during type checking. -class EdgeTieBreak: - """Tie-break rule among equal-cost parallel edges (pybind11 enum). +@overload +def to_units(x: float, resolution: float) -> int: ... +@overload +def to_units(x: "Sequence[float] | np.ndarray", resolution: float) -> "np.ndarray": ... +def to_units(x, resolution): # type: ignore[no-untyped-def] + """Convert physical value(s) to integer units of the resolution, rounding half up. - PREFER_HIGHER_RESIDUAL ranks edges by the value EdgeSelection.priority - selects (the residual by default); DETERMINISTIC uses the edge order from - graph construction. - """ - - DETERMINISTIC: ClassVar[EdgeTieBreak] - PREFER_HIGHER_RESIDUAL: ClassVar[EdgeTieBreak] - __members__: ClassVar[dict[str, EdgeTieBreak]] - - def __init__(self, value: int) -> None: ... - - @property - def name(self) -> str: ... - @property - def value(self) -> int: ... - - -class EdgePriority: - """Per-edge value that ranks equal-cost alternatives (pybind11 enum). - - It drives the PREFER_HIGHER_RESIDUAL edge tie-break and the node-level - ordering (equal-cost nodes settle in descending order of the smallest value - along their path). It never changes which edges are eligible: capacity - gating always uses the residual. - - RESIDUAL: residual capacity when a residual is supplied, otherwise the - static capacity. The default and the historical behaviour. - CAPACITY: the static capacity even when a residual is supplied. - HEADROOM: residual / capacity, the fraction of the edge still free - (1 for every edge when no residual is supplied, 0 for zero capacity). - """ - - RESIDUAL: ClassVar[EdgePriority] - CAPACITY: ClassVar[EdgePriority] - HEADROOM: ClassVar[EdgePriority] - __members__: ClassVar[dict[str, EdgePriority]] - - def __init__(self, value: int) -> None: ... - - -class EdgeSelection: - """Edge selection policy. The constructor is keyword-only. - - priority selects the per-edge value that tie_break and the bottleneck - ordering rank by (see EdgePriority); the default keeps today's behaviour. - """ - - multi_edge: bool - require_capacity: bool - tie_break: EdgeTieBreak - priority: EdgePriority - - def __init__( - self, - *, - multi_edge: bool = True, - require_capacity: bool = False, - tie_break: EdgeTieBreak = ..., - priority: EdgePriority = ..., - ) -> None: ... - - -class FlowPlacement: - """How to place flow across equal-cost predecessors during augmentation. - - PROPORTIONAL (WCMP-like): Distributes flow proportionally to available capacity. - May be used iteratively (e.g., for max-flow). - - EQUAL_BALANCED (ECMP): Single-pass admission on a fixed shortest-path DAG (Dijkstra). - The split set is the DAG's edges with capacity (the topology's next-hop - set). Computes one global scale so no edge is oversubscribed under - equal per-edge splits, places once, and stops; a member filled since - the DAG was computed drives the scale to 0, because a forwarding table - does not react to load. Progress past a full member by recomputing the - DAG with a residual-aware SPF (place_max_flow and FlowPolicy do). - ECMP = Equal-Cost Multi-Path; WCMP = Weighted-Cost Multi-Path. - - EQUAL_BALANCED_LOSSY: Equal split over the same capacity-based set with no - scaling: each edge carries min(share, residual) and drops the excess, - deficits propagate downstream, and the placed amount is what reaches - the destination. Models best-effort hash-ECMP forwarding; per-edge - drops are available from FlowGraph.place_with_drops. - """ - - PROPORTIONAL: ClassVar[FlowPlacement] - EQUAL_BALANCED: ClassVar[FlowPlacement] - EQUAL_BALANCED_LOSSY: ClassVar[FlowPlacement] - __members__: ClassVar[dict[str, FlowPlacement]] - - def __init__(self, value: int) -> None: ... - - @property - def name(self) -> str: ... - @property - def value(self) -> int: ... + The only way physical numbers enter Core: ``to_units(x, q) = floor(x / q + 1/2)``. + Args: + x: A physical float, or a 1-D array of them. + resolution: The unit ``q``, a power of two in ``[2**-32, 2**32]``. -class PredDAG: - """Compact predecessor DAG representation. + Returns: + An ``int`` for a scalar, an ``int64`` array for an array. - Arrays are int32; offsets has length N+1. + Raises: + ValueError: an invalid resolution (checked first, also for an empty array); + NaN, infinity or a negative value (no unit value); a result at or above + ``2**62`` units (the domain bound). """ - - parent_offsets: np.ndarray - parents: np.ndarray - via_edges: np.ndarray - - @staticmethod - def from_hops( - graph: "StrictMultiDiGraph", hops: "Sequence[Sequence[int]]" - ) -> "PredDAG": - """Build a PredDAG for one explicit route with parallel edges per hop. - - hops[i] lists the edge ids of hop i, which must all join the same node - pair; consecutive hops must connect and the walk must be a simple - path. Every listed edge becomes a parent entry of its hop's head node, - so placement splits across the bundle exactly as on an SPF multipath - DAG (a 4 x 10 bundle carries 40, where from_edges with one edge - carries 10). from_edges is the one-edge-per-hop case. - - Raises: - ValueError: If the route or a hop is empty, an id is out of range, - an edge is repeated within a hop, a hop's edges are not - parallel, hops do not connect, or the walk revisits a node. - """ - ... - - @staticmethod - def from_edges(graph: "StrictMultiDiGraph", edges: "Sequence[int]") -> "PredDAG": - """Build a single-path PredDAG from a contiguous edge-id sequence. - - The missing constructor for operator-defined explicit paths; PredDAGs - returned by Algorithms.spf/ksp work directly wherever a PredDAG is - accepted (FlowState.place_on_dag, FlowGraph.place, - FlowPolicy.set_static_paths). - - Raises: - ValueError: If edges is empty, an id is out of range, consecutive - edges do not connect, or the walk revisits a node (a pinned - path must be a simple path). - """ - ... - - def resolve_to_paths( - self, - src: int, - dst: int, - *, - split_parallel_edges: bool = False, - max_paths: Optional[int] = None, - ) -> list[tuple[tuple[int, tuple[int, ...]], ...]]: ... - - -class PathAlg: - SPF: ClassVar[PathAlg] - __members__: ClassVar[dict[str, PathAlg]] - - def __init__(self, value: int) -> None: ... - - @property - def name(self) -> str: ... - @property - def value(self) -> int: ... - - -class Backend: - """Backend for algorithm execution (typing stub only).""" - - @staticmethod - def cpu() -> "Backend": - """Create a CPU backend.""" - ... + ... -class Graph: - """Opaque backend graph handle produced by Algorithms.build_graph. +@overload +def as_float(x: int, resolution: float) -> float: ... +@overload +def as_float(x: "Sequence[int] | np.ndarray", resolution: float) -> "np.ndarray": ... +def as_float(x, resolution): # type: ignore[no-untyped-def] + """Convert integer units to physical value(s): ``x * q``, correctly rounded. - Keeps the underlying StrictMultiDiGraph alive for as long as it is used. + Exact below ``2**53`` units. Returns a ``float`` for an int of any size and a + ``float64`` array for an integer array or sequence. The resolution is validated first + (also for an empty array); a result beyond the finite doubles raises ValueError. """ - - @property - def num_nodes(self) -> int: ... - @property - def num_edges(self) -> int: ... + ... -class FlowGraph: - """Flow graph for multi-commodity flow tracking. +class Eligibility: + """Immutable, graph-bound static eligibility: dense node and edge flags. - Views return read-only NumPy arrays referencing internal C++ memory. - The FlowGraph must remain alive while views are in use. + Built by ``StrictMultiDiGraph.eligibility(excluded_nodes, excluded_edges)``. An + edge is allowed when it is not excluded and both of its endpoints are allowed. + Passing it to a call of another graph raises ValueError. """ - def __init__(self, graph: "StrictMultiDiGraph") -> None: ... - - def capacity_view(self) -> "np.ndarray": - """Return read-only float64 view of edge capacities.""" + def graph_uid(self) -> int: + """uid of the graph this value belongs to.""" ... - def residual_view(self) -> "np.ndarray": - """Return read-only float64 view of residual capacities.""" + def uid(self) -> int: + """0 for the all-allowed value, a fresh uid otherwise.""" ... - def edge_flow_view(self) -> "np.ndarray": - """Return read-only float64 view of placed flows.""" + def node_allowed(self) -> "np.ndarray": + """bool[N] read-only view.""" ... - @property - def graph(self) -> "StrictMultiDiGraph": ... - - def place( - self, - index: "FlowIndex", - src: int, - dst: int, - dag: "PredDAG", - amount: float, - flow_placement: FlowPlacement = ..., - ) -> float: ... - - def place_with_drops( - self, - index: "FlowIndex", - src: int, - dst: int, - dag: "PredDAG", - amount: float, - flow_placement: FlowPlacement = ..., - ) -> tuple[float, list[tuple[int, float]]]: - """Like place(), returning (placed, drops). - - `drops` lists (edge_id, dropped_volume) for every edge that dropped - flow under EQUAL_BALANCED_LOSSY; other placements return an empty - list. Dropped volume never enters the ledger, so remove() reverts only - what was carried. - """ + def edge_allowed(self) -> "np.ndarray": + """bool[E] read-only view.""" ... - def remove(self, index: "FlowIndex") -> None: ... - def remove_by_class(self, cls: int) -> None: ... - def reset(self) -> None: ... - def get_flow_edges(self, index: "FlowIndex") -> list[tuple[int, float]]: ... - def get_flow_path(self, index: "FlowIndex") -> list[int]: ... - - -class FlowState: - """Flow state tracker for a single-commodity flow problem. - - Tracks per-edge residual capacity and flow placement for a graph. - **Lifetime & Memory Safety:** - - Views (capacity_view, residual_view, edge_flow_view) return read-only - NumPy arrays that directly reference internal C++ memory (zero-copy). - - The FlowState must remain alive while these views are in use. - - Arrays passed as 'residual' to __init__ or reset() are **copied** internally. - - Masks passed to compute_min_cut() are **copied** before releasing GIL (thread-safe). - - **Array Requirements:** - - All arrays must be 1-D, C-contiguous, and have correct dtype (float64 for - residual, bool for masks). - - Mask lengths must match num_nodes/num_edges exactly or TypeError is raised. +class StrictMultiDiGraph: + """Immutable directed multigraph on integer units (layout B'). + + Edges are given in input order. The public EdgeId of an edge is its rank in the + stable order ``(src, cost, dst, input)``: the out-edges of node ``u`` are the ids + ``[row_offsets()[u], row_offsets()[u + 1])``, and ``input_index()[e]`` is the input + position of edge ``e`` (the inverse permutation is the caller's). Every other + per-edge array is in id order. Accessors return read-only NumPy views that keep the + graph alive. """ def __init__( - self, graph: "StrictMultiDiGraph", residual: "Optional[np.ndarray]" = None - ) -> None: - """Initialize FlowState with a graph and optional residual capacities. - - Args: - graph: The network graph (kept alive automatically) - residual: Optional 1-D float64 array of initial residual capacities. - If not provided, uses graph capacities. **Array is copied.** - - Raises: - TypeError: If residual has wrong dtype, ndim, or length. - """ - ... - - def reset(self, residual: "Optional[np.ndarray]" = None) -> None: - """Reset flow state to initial capacities. - - Args: - residual: Optional 1-D float64 array. **Array is copied.** - """ - ... - - def capacity_view(self) -> "np.ndarray": - """Return read-only float64 view of edge capacities (zero-copy).""" - ... - - def residual_view(self) -> "np.ndarray": - """Return read-only float64 view of residual capacities (zero-copy).""" - ... - - def edge_flow_view(self) -> "np.ndarray": - """Return read-only float64 view of placed flows (zero-copy).""" - ... - - def place_on_dag( - self, - src: int, - dst: int, - dag: "PredDAG", - requested_flow: float = float("inf"), - flow_placement: FlowPlacement = ..., - ) -> float: - """Place flow along a predecessor DAG. - - EqualBalanced is **single-pass ECMP admission** on the provided DAG: - we compute one global scale so no edge is oversubscribed under equal per-edge - splits, apply it once, and return. The split set is the topology's - next-hop set, so a member already full yields scale 0; progress past it - by recomputing the DAG with residuals. EQUAL_BALANCED_LOSSY forwards - best-effort over the same set (see FlowPlacement). - - Returns: - Amount of flow actually placed (may be less than requested). - """ - ... - - def place_max_flow( self, - src: int, - dst: int, - flow_placement: FlowPlacement = ..., - shortest_path: bool = False, - require_capacity: bool = True, - *, - node_mask: "Optional[np.ndarray]" = None, - edge_mask: "Optional[np.ndarray]" = None, - ) -> float: - """Place maximum flow from src to dst. - - Args: - require_capacity: Whether to require edges to have capacity. - - True (default): Routes adapt to residuals (SDN/TE, progressive fill). - - False: Routes based on costs only (IP/IGP, fixed routing). - node_mask: Optional 1-D bool array (True=allowed). Copied for thread safety. - edge_mask: Optional 1-D bool array (True=allowed). Copied for thread safety. - - For *IP-style ECMP* max-flow, use: require_capacity=False, shortest_path=True, - flow_placement=EQUAL_BALANCED. - - Caution: with require_capacity=True + EQUAL_BALANCED, this method iterates shortest-path + - placement (progressive fill), which differs from single-pass ECMP admission. - - Returns: - Total flow placed. - """ - ... - - def compute_min_cut( - self, - src: int, - *, - node_mask: "Optional[np.ndarray]" = None, - edge_mask: "Optional[np.ndarray]" = None, - ) -> "MinCut": - """Compute minimum cut from source based on current residual. + num_nodes: int, + src: "Sequence[int] | np.ndarray", + dst: "Sequence[int] | np.ndarray", + capacity_units: "Sequence[int] | np.ndarray", + cost: "Sequence[int] | np.ndarray", + resolution: float, + ) -> None: + """Build a graph from parallel edge arrays in input order. Args: - src: Source node for reachability analysis - node_mask: Optional 1-D bool array of length num_nodes. **Copied for thread safety.** - edge_mask: Optional 1-D bool array of length num_edges. **Copied for thread safety.** - - Returns: - MinCut object with edges in the cut set. + num_nodes: Node count; every src/dst must lie in ``[0, num_nodes)``. + src: Source node ids (integers). + dst: Destination node ids (integers). + capacity_units: Capacities as integer units of ``resolution``, each in + ``[0, 2**62)``; physical capacities go through ``to_units`` first. + cost: Positive integer costs (``cost >= 1``). + resolution: The unit ``q``, a power of two in ``[2**-32, 2**32]``. Raises: - TypeError: If masks have wrong dtype, ndim, or length. + ValueError: On the first defect, in this order: the resolution, the unit + values, the array shapes, zero or negative costs, the remaining bounds + (endpoints in range, then the capacity and cost sums below ``2**62``). + Integers are read without narrowing, so the reported defect does not + depend on how the input is represented; floats or bools in an integer + array are rejected, never truncated. """ ... - -class StrictMultiDiGraph: - """Immutable directed multigraph with CSR and reverse-CSR adjacency. - - Edges are reordered by (cost, src, dst) at construction, so EdgeId values are - positions in that canonical order rather than the caller's input order. Use - `ext_edge_ids` to map results back to caller-side identifiers. - - Every `*_view()` method returns a fresh, writable COPY of the internal buffer, - so mutating the result cannot violate the graph's immutability. (This differs - from `FlowState`/`FlowGraph` views, which are live read-only views.) - """ - - @staticmethod - def from_arrays( - num_nodes: int, - src: "np.ndarray", - dst: "np.ndarray", - capacity: "np.ndarray", - cost: "np.ndarray", - ext_edge_ids: "np.ndarray", - ) -> "StrictMultiDiGraph": - """Build a graph from parallel edge arrays (all must be 1-D, C-contiguous). - - Args: - num_nodes: Node count; every src/dst must lie in [0, num_nodes). - src: int32[E] source node ids. - dst: int32[E] destination node ids. - capacity: float64[E] capacities, each >= 0. - cost: int64[E] costs, each >= 0. Their TOTAL must stay below 2**62, - since SPF accumulates path costs as int64. - ext_edge_ids: int64[E] caller-side ids, permuted alongside the edges. - - Raises: - TypeError: On a wrong dtype, a non-contiguous array, or a wrong shape. - ValueError: On a negative capacity/cost, a node id out of range, a - length mismatch, or a total cost at or above 2**62. - """ + def uid(self) -> int: + """Process-unique id, never reused.""" ... + def resolution(self) -> float: ... def num_nodes(self) -> int: ... def num_edges(self) -> int: ... def max_cost(self) -> int: - """Largest edge cost (0 for a graph without edges). - - Shortest-path searches use a bucket queue when - ``max_cost() // cost_gcd() + 1 <= 65536`` and a binary heap otherwise. - Cost scales that exceed the limit (for example latencies in nanoseconds) - can be divided by a common factor before building the graph to stay on - the faster route; results are identical either way. - """ + """Largest edge cost (0 for a graph without edges).""" ... def cost_gcd(self) -> int: - """Greatest common divisor of all edge costs (0 when every cost is 0).""" - ... - - def capacity_view(self) -> "np.ndarray": - """Copy of per-edge capacities, float64[E].""" + """Greatest common divisor of all edge costs (0 for a graph without edges).""" ... - def cost_view(self) -> "np.ndarray": - """Copy of per-edge costs, int64[E].""" + def capacity_units(self) -> "np.ndarray": + """int64[E] capacities in units, id order.""" ... - def edge_src_view(self) -> "np.ndarray": - """Copy of per-edge source node ids, int32[E].""" + def cost(self) -> "np.ndarray": + """int64[E] costs, id order.""" ... - def edge_dst_view(self) -> "np.ndarray": - """Copy of per-edge destination node ids, int32[E].""" + def edge_src(self) -> "np.ndarray": + """int32[E] source node per edge.""" ... - def ext_edge_ids_view(self) -> "np.ndarray": - """Copy of caller-supplied external edge ids, int64[E].""" + def edge_dst(self) -> "np.ndarray": + """int32[E] destination node per edge.""" ... - def row_offsets_view(self) -> "np.ndarray": - """CSR row offsets over outgoing edges, int32[num_nodes + 1].""" + def input_index(self) -> "np.ndarray": + """int32[E]: id -> input position.""" ... - def col_indices_view(self) -> "np.ndarray": - """CSR neighbour node ids for outgoing edges, int32[E].""" + def row_offsets(self) -> "np.ndarray": + """int32[N + 1] forward CSR offsets (id ranges of the out-edges).""" ... - def adj_edge_index_view(self) -> "np.ndarray": - """EdgeId for each CSR outgoing entry, int32[E].""" + def in_row_offsets(self) -> "np.ndarray": + """int32[N + 1] reverse CSR offsets.""" ... - def in_row_offsets_view(self) -> "np.ndarray": - """Reverse-CSR row offsets over incoming edges, int32[num_nodes + 1].""" + def in_adj_edge_index(self) -> "np.ndarray": + """int32[E] in-edges per node in (cost, src, input) order, as EdgeIds.""" ... - def in_col_indices_view(self) -> "np.ndarray": - """Reverse-CSR predecessor node ids, int32[E].""" - ... - - def in_adj_edge_index_view(self) -> "np.ndarray": - """EdgeId for each reverse-CSR entry, int32[E].""" - ... - - -class FlowIndex: - """Identity of one flow: (src, dst, flowClass, flowId). - - The constructor takes exactly four POSITIONAL arguments (the binding - declares no argument names), and the attributes are read-only. - """ - - def __init__(self, src: int, dst: int, flowClass: int, flowId: int, /) -> None: ... - @property - def src(self) -> int: ... - @property - def dst(self) -> int: ... - @property - def flowClass(self) -> int: ... - @property - def flowId(self) -> int: ... - - -class FlowPolicyConfig: - """Configuration for FlowPolicy behavior. - - Key Parameters: - multipath: Controls whether individual flows split across multiple equal-cost paths. - - True (default): Hash-based ECMP - each flow uses a DAG with ALL equal-cost paths. - Flow volume is split across these paths according to flow_placement strategy. - This models router ECMP behavior where packets are hashed across next-hops. - - False: Tunnel-based ECMP - each flow uses a SINGLE path (one tunnel/LSP). - Multiple flows can share the same path. This models MPLS LSP semantics where - each LSP follows one specific path, and ECMP means balancing ACROSS LSPs. - """ - - path_alg: PathAlg - flow_placement: FlowPlacement - selection: EdgeSelection - require_capacity: bool - multipath: bool - min_flow_count: int - max_flow_count: Optional[int] - max_path_cost: Optional[int] - max_path_cost_factor: Optional[float] - shortest_path: bool - reoptimize_flows_on_each_placement: bool - max_no_progress_iterations: int - max_total_iterations: int - diminishing_returns_enabled: bool - diminishing_returns_window: int - diminishing_returns_epsilon_frac: float - - def __init__( + def eligibility( self, - *, - path_alg: PathAlg = ..., - flow_placement: FlowPlacement = ..., - selection: EdgeSelection = ..., - require_capacity: bool = True, - multipath: bool = True, - min_flow_count: int = 1, - max_flow_count: Optional[int] = None, - max_path_cost: Optional[int] = None, - max_path_cost_factor: Optional[float] = None, - shortest_path: bool = False, - reoptimize_flows_on_each_placement: bool = False, - max_no_progress_iterations: int = 100, - max_total_iterations: int = 10000, - diminishing_returns_enabled: bool = True, - diminishing_returns_window: int = 8, - diminishing_returns_epsilon_frac: float = 1e-3, - ) -> None: - """All parameters are keyword-only; the no-argument form is also valid.""" - ... - + excluded_nodes: "Sequence[int] | np.ndarray" = (), + excluded_edges: "Sequence[int] | np.ndarray" = (), + ) -> Eligibility: + """Static eligibility from excluded node ids and EdgeIds. -class FlowPolicy: - """Flow policy for demand placement. - - Dynamic policies may refresh the DAG per round using residual-aware - shortest paths, progressively pruning saturated next-hops (traffic- - engineering style), which differs from one-shot ECMP admission. - - A policy can instead be pinned to explicit path bundles with - set_static_paths(); see that method for the pinned semantics. - - Args: - algorithms: Algorithms instance (kept alive by FlowPolicy) - graph: Graph handle (kept alive by FlowPolicy) - config: FlowPolicyConfig with all policy parameters - node_mask: Optional 1-D bool array (True=allowed). **Copied for thread safety.** - edge_mask: Optional 1-D bool array (True=allowed). **Copied for thread safety.** - - Raises: - TypeError: If masks have wrong dtype, ndim, or length. - """ - - def __init__( - self, - algorithms: "Algorithms", - graph: "Graph", - config: "FlowPolicyConfig", - *, - node_mask: "Optional[np.ndarray]" = None, - edge_mask: "Optional[np.ndarray]" = None, - ) -> None: ... - - def flow_count(self) -> int: ... - def placed_demand(self) -> float: ... - def place_demand( - self, - flow_graph: "FlowGraph", - src: int, - dst: int, - flowClass: int, - volume: float, - target_per_flow: Optional[float] = None, - min_flow: Optional[float] = None, - ) -> tuple[float, float]: - """Place `volume` of demand; returns (placed, remaining). - - Raises: - ValueError: If this policy already manages a different (src, dst) - pair (call remove_demand() first, or use one policy per - demand), or if `flow_graph` wraps a different - StrictMultiDiGraph than the policy's own graph handle. - - EQUAL_BALANCED note: when the equalizing rebalance runs, `placed` is - the policy's TOTAL placed demand (cumulative across calls, because - rebalancing re-places previously placed volume too), so - `placed + remaining` can exceed this call's `volume`. Use - placed_demand() deltas for strict per-call accounting. EB placement is - also not incremental: each call's volume defines the per-flow target, - so a second, smaller call may place nothing. + Duplicates and unsorted lists are accepted; out-of-range ids raise ValueError. + Empty lists mean all allowed (uid 0). """ ... - - def rebalance_demand( - self, - flow_graph: "FlowGraph", - src: int, - dst: int, - flowClass: int, - target: float, - ) -> tuple[float, float]: ... - - def remove_demand(self, flow_graph: "FlowGraph") -> None: - """Remove all of this policy's flows, releasing its (src, dst) binding.""" - ... - - def set_static_paths(self, src: int, dst: int, paths: "Sequence[PredDAG]") -> None: - """Pin this policy's demand to explicit path bundles (MPLS-style). - - One flow is created per USABLE bundle at the next placement, in supply - order, each permanently bound to its own bundle. A single-path bundle - (from PredDAG.from_edges or ksp) models a strict-ERO LSP: any failed - hop takes it down. A multi-walk bundle (an SPF DAG) models a pinned - DAG / SR-TE-style policy that renormalizes over surviving walks. - - Bundles are validated against the policy's graph, then pruned against - the policy's node/edge masks; a bundle with no surviving src->dst walk - is DOWN and creates no flow (pinned paths do not reroute around - failures). Each flow's cost is the min-cost src->dst walk of its - PRUNED bundle. EqualBalanced spreads over the usable (up) bundles - only; down LSPs = len(paths) - flow_count(). - - With static paths configured the policy neither creates additional - flows nor reoptimizes: max_path_cost, max_path_cost_factor, - min_flow_count and reoptimize_flows_on_each_placement are inert. - Placement is not incremental across place_demand calls for - EqualBalanced (each call's volume defines the per-flow target). - - Raises: - ValueError: If paths is empty; the policy already holds flows - (call remove_demand() first); shortest_path=True is - configured; src/dst is out of range or equal; a user-supplied - max_flow_count differs from len(paths); or a bundle is - malformed (wrong shape, out-of-range ids, an edge that does - not connect its parent to its node in this graph, a cycle, or - no src->dst walk). Calling again before placement replaces - the previous pinning. - """ - ... - - @property - def flows(self) -> dict[tuple[int, int, int, int], tuple[int, int, int, float]]: ... - - -class MinCut: - edges: "np.ndarray" # int32[K], copy of the cut edge ids - - -class FlowSummary: - total_flow: float - min_cut: MinCut - # Cost-weighted breakdown of total_flow, ascending and unique. Entries from - # the SPF tier loop are shortest-path-DAG costs; entries from the residual - # completion phase are MARGINAL costs (forward edge costs minus the cost of - # the flow they cancel) and need not match any traversable src->dst path. - costs: "np.ndarray" # int64[K] - flows: "np.ndarray" # float64[K] - edge_flows: "np.ndarray" - residual_capacity: "np.ndarray" - reachable_nodes: "np.ndarray" - - -class Algorithms: - """Core graph algorithms with thread-safe bindings. - - **Thread Safety & Array Handling:** - - All input arrays (residual, node_mask, edge_mask) are **copied** before - releasing the GIL, ensuring thread safety even if Python code mutates - the arrays concurrently. - - All arrays must be 1-D, C-contiguous, with correct dtype. - - Mask lengths must match num_nodes/num_edges exactly or TypeError is raised. - - **Lifetime Management:** - - Algorithms instances must be kept alive while Graph handles derived from - them are in use (automatic via Python reference counting in normal usage). - """ - - def __init__(self, backend: "Backend") -> None: ... - - def build_graph(self, graph: "StrictMultiDiGraph") -> "Graph": - """Build a graph handle from StrictMultiDiGraph. - - The graph object is kept alive automatically. - """ - ... - - def spf( - self, - graph: "Graph", - src: int, - dst: Optional[int] = None, - *, - selection: Optional[EdgeSelection] = None, - residual: Optional["np.ndarray"] = None, - node_mask: Optional["np.ndarray"] = None, - edge_mask: Optional["np.ndarray"] = None, - multipath: bool = True, - dtype: str = "float64", - ) -> tuple["np.ndarray", "PredDAG"]: - """Shortest path first algorithm. - - Args: - graph: Graph handle - src: Source node - dst: Optional destination (if None, compute from source to all) - selection: Edge selection policy - residual: Optional 1-D float64 array of residuals. **Copied for thread safety.** - node_mask: Optional 1-D bool mask (length num_nodes). **Copied for thread safety.** - True = node allowed, False = node excluded. - **If source node is masked (False), returns empty DAG with all distances at infinity.** - edge_mask: Optional 1-D bool mask (length num_edges). **Copied for thread safety.** - True = edge allowed, False = edge excluded. - multipath: Whether to track multiple equal-cost paths - dtype: "float64" (inf for unreachable) or "int64" (max for unreachable) - - Returns: - (distances, predecessor_dag) - - Note: - When the source node is masked out (node_mask[src] == False), the algorithm - immediately returns an empty predecessor DAG with all distances set to infinity, - as no traversal can begin from an excluded source. - - Raises: - TypeError: If arrays have wrong dtype, ndim, or length - (residual must have length num_edges; masks must match - num_nodes / num_edges). - ValueError: If src/dst out of range. - """ - ... - - def spf_to( - self, - graph: "Graph", - dst: int, - *, - selection: Optional[EdgeSelection] = None, - residual: Optional["np.ndarray"] = None, - node_mask: Optional["np.ndarray"] = None, - edge_mask: Optional["np.ndarray"] = None, - multipath: bool = True, - fanout_edges: Optional[Sequence[int]] = None, - dtype: str = "float64", - ) -> tuple["np.ndarray", "PredDAG"]: - """Shortest paths from every node *to* dst (reverse SPF). - - Returns ``(distances_to_dst, dag)``. ``distances_to_dst[u]`` is the cost - of a shortest ``u -> dst`` walk (inf / int64 max if none). The DAG is - forward-oriented, so it works anywhere a PredDAG is accepted, and is - valid for placement from *any* node toward ``dst``: every walk it - holds from a node ``u`` to ``dst`` costs ``distances_to_dst[u]``. It is - the union of the per-source shortest-path DAGs toward ``dst``. - - Args: - graph: Graph handle - dst: Destination node - selection: Edge selection policy (as for spf) - residual: Optional 1-D float64 array of residuals (copied); forces - capacity gating as for spf - node_mask: Optional 1-D bool mask (length num_nodes), copied - edge_mask: Optional 1-D bool mask (length num_edges), copied - multipath: Keep every equal-cost successor per node; False keeps - one, preferring higher bottleneck capacity toward dst - fanout_edges: Edge ids added to the DAG regardless of cost, for an - origin whose first hop is a traffic split rather than a - routing decision (a pseudo source fanning out over every - attached real source). Each edge is added when it passes the - masks and capacity gate and its head has a finite distance; - its tail must have no incoming DAG entry - dtype: "float64" (inf for unreachable) or "int64" (max for unreachable) - - Raises: - TypeError: If arrays have wrong dtype, ndim, or length. - ValueError: If dst or a fanout edge id is out of range, or a - fanout edge leaves a node that already has an incoming DAG - entry. - """ - ... - - def ksp( - self, - graph: "Graph", - src: int, - dst: int, - *, - k: int, - max_cost_factor: Optional[float] = None, - unique: bool = True, - node_mask: Optional["np.ndarray"] = None, - edge_mask: Optional["np.ndarray"] = None, - dtype: str = "float64", - ) -> list[tuple["np.ndarray", "PredDAG"]]: - """K shortest paths algorithm. - - Args: - k: Number of paths to find - max_cost_factor: Optional maximum cost factor relative to shortest - node_mask: Optional 1-D bool mask. **Copied for thread safety.** - edge_mask: Optional 1-D bool mask. **Copied for thread safety.** - - Returns: - List of (distances, dag) tuples, up to k paths. - - Note: - Tie-breaking is deterministic by edge ID. EdgeSelection policy is not used. - """ - ... - - def max_flow( - self, - graph: "Graph", - src: int, - dst: int, - *, - flow_placement: FlowPlacement = ..., - shortest_path: bool = False, - require_capacity: bool = True, - with_edge_flows: bool = False, - with_reachable: bool = False, - with_residuals: bool = False, - node_mask: Optional["np.ndarray"] = None, - edge_mask: Optional["np.ndarray"] = None, - ) -> tuple[float, "FlowSummary"]: - """Maximum flow algorithm. - - Behavior depends on require_capacity parameter: - - - require_capacity=True (default): "True max-flow" - require edges to have capacity, - exclude saturated links (SDN/TE behavior). Uses all available paths. - - - require_capacity=False: "IP ECMP" - routes based on costs only (IP/IGP behavior). - Routes computed once from topology, ignoring capacity. Models OSPF/IS-IS routing. - - Common configurations: - - 1. True max-flow (SDN/TE): - require_capacity=True, shortest_path=False - - 2. IP ECMP max-flow: - require_capacity=False, shortest_path=True, flow_placement=EQUAL_BALANCED - - 3. IP WCMP max-flow: - require_capacity=False, shortest_path=True, flow_placement=PROPORTIONAL - - Args: - require_capacity: Whether to require edges to have capacity. - shortest_path: Whether to restrict to lowest-cost tier only. - flow_placement: How to split flow across parallel edges (ECMP vs WCMP). - node_mask: Optional 1-D bool mask. **Copied for thread safety.** - edge_mask: Optional 1-D bool mask. **Copied for thread safety.** - - Returns: - (total_flow, flow_summary) - """ - ... - - def batch_max_flow( - self, - graph: "Graph", - pairs: "np.ndarray", - *, - node_masks: Optional[list["np.ndarray"]] = None, - edge_masks: Optional[list["np.ndarray"]] = None, - flow_placement: FlowPlacement = ..., - shortest_path: bool = False, - require_capacity: bool = True, - with_edge_flows: bool = False, - with_reachable: bool = False, - with_residuals: bool = False, - ) -> list[FlowSummary]: - """Batch maximum flow for multiple (src,dst) pairs. - - Args: - pairs: int32 array of shape [B, 2] with (src, dst) pairs - node_masks: Optional list of B bool masks. **Each copied for thread safety.** - edge_masks: Optional list of B bool masks. **Each copied for thread safety.** - require_capacity: If True, exclude saturated edges (SDN/TE). If False, route by cost only (IP/IGP). - - Returns: - List of FlowSummary objects, one per pair. - """ - ... - - def sensitivity_analysis( - self, - graph: "Graph", - src: int, - dst: int, - *, - flow_placement: FlowPlacement = ..., - shortest_path: bool = False, - require_capacity: bool = True, - node_mask: Optional["np.ndarray"] = None, - edge_mask: Optional["np.ndarray"] = None, - ) -> list[tuple[int, float]]: - """Sensitivity analysis to identify critical edges that constrain flow. - - Computes baseline flow, then tests removing each saturated edge to - measure how much the total flow would be reduced. - - The `shortest_path` parameter controls the routing semantics: - - - shortest_path=False (default): Full max-flow analysis (SDN/TE mode). - Identifies edges critical for achieving maximum possible flow. - - - shortest_path=True: Shortest-path-only analysis (IP/IGP mode). - Identifies edges critical for flow under ECMP routing. Edges on - unused longer paths are not reported as critical. - - Args: - graph: Graph handle - src: Source node - dst: Destination node - flow_placement: Flow placement strategy - shortest_path: If True, use single-pass shortest-path flow (IP/IGP). - If False, use full iterative max-flow (SDN/TE). - require_capacity: If True, exclude saturated edges from routing. - node_mask: Optional 1-D bool mask. **Copied for thread safety.** - edge_mask: Optional 1-D bool mask. **Copied for thread safety.** - - Returns: - List of (edge_id, flow_delta) tuples. Each edge_id is an edge - whose removal would reduce total flow by flow_delta. - """ - ... - - -def profiling_enabled() -> bool: - """True if profiling is enabled (NGRAPH_CORE_PROFILE=1 in the environment).""" - ... - - -def profiling_dump() -> None: - """Print collected profiling statistics to stderr.""" - ... - - -def profiling_reset() -> None: - """Clear all collected profiling statistics.""" - ... diff --git a/src/cpu_backend.cpp b/src/cpu_backend.cpp deleted file mode 100644 index fd35c66..0000000 --- a/src/cpu_backend.cpp +++ /dev/null @@ -1,146 +0,0 @@ -/* - CPU Backend — thin adapter that delegates to in-process algorithms. -*/ -#include "netgraph/core/backend.hpp" -#include "netgraph/core/k_shortest_paths.hpp" -#include "netgraph/core/max_flow.hpp" -#include "netgraph/core/shortest_paths.hpp" - -#include - -namespace netgraph::core { - -namespace { -class CpuBackend final : public Backend { -public: - GraphHandle build_graph(const StrictMultiDiGraph& g) override { - // Create a non-owning shared_ptr with no-op deleter; lifetime is managed by caller - return GraphHandle{ std::shared_ptr(&g, [](const StrictMultiDiGraph*){}) }; - } - - std::pair, PredDAG> spf( - const GraphHandle& gh, NodeId src, const SpfOptions& opts) override { - const StrictMultiDiGraph& g = *gh.graph; - // Validate mask lengths strictly; mismatches are user errors. - // NOTE: this check is deliberately duplicated with the one inside - // shortest_paths(): the backend layer produces a caller-facing message, and the - // algorithm layer must stand on its own because it is also part of the public - // C++ API and callable without going through a Backend. - if (!opts.node_mask.empty() && opts.node_mask.size() != static_cast(g.num_nodes())) { - throw std::invalid_argument("CpuBackend::spf: node_mask length mismatch"); - } - if (!opts.edge_mask.empty() && opts.edge_mask.size() != static_cast(g.num_edges())) { - throw std::invalid_argument("CpuBackend::spf: edge_mask length mismatch"); - } - // Forward spans directly (already validated above) - return netgraph::core::shortest_paths(g, src, opts.dst, opts.multipath, opts.selection, - opts.residual, opts.node_mask, opts.edge_mask); - } - - std::pair spf_dag( - const GraphHandle& gh, NodeId src, NodeId dst, const SpfOptions& opts) override { - const StrictMultiDiGraph& g = *gh.graph; - return netgraph::core::shortest_paths_dag(g, src, dst, opts.multipath, opts.selection, - opts.residual, opts.node_mask, opts.edge_mask); - } - - std::pair, PredDAG> spf_to( - const GraphHandle& gh, NodeId dst, const SpfToOptions& opts) override { - const StrictMultiDiGraph& g = *gh.graph; - if (!opts.node_mask.empty() && opts.node_mask.size() != static_cast(g.num_nodes())) { - throw std::invalid_argument("CpuBackend::spf_to: node_mask length mismatch"); - } - if (!opts.edge_mask.empty() && opts.edge_mask.size() != static_cast(g.num_edges())) { - throw std::invalid_argument("CpuBackend::spf_to: edge_mask length mismatch"); - } - return netgraph::core::shortest_paths_to(g, dst, opts.multipath, opts.selection, - opts.residual, opts.node_mask, opts.edge_mask, - opts.fanout_edges); - } - - std::pair max_flow( - const GraphHandle& gh, NodeId src, NodeId dst, const MaxFlowOptions& opts) override { - const StrictMultiDiGraph& g = *gh.graph; - // Validate mask lengths strictly. - if (!opts.node_mask.empty() && opts.node_mask.size() != static_cast(g.num_nodes())) { - throw std::invalid_argument("CpuBackend::max_flow: node_mask length mismatch"); - } - if (!opts.edge_mask.empty() && opts.edge_mask.size() != static_cast(g.num_edges())) { - throw std::invalid_argument("CpuBackend::max_flow: edge_mask length mismatch"); - } - // Forward spans directly (already validated above) - return netgraph::core::calc_max_flow( - g, src, dst, - opts.placement, opts.shortest_path, - opts.require_capacity, - opts.with_edge_flows, - opts.with_reachable, - opts.with_residuals, - opts.node_mask, opts.edge_mask); - } - - std::vector, PredDAG>> ksp( - const GraphHandle& gh, NodeId src, NodeId dst, const KspOptions& opts) override { - const StrictMultiDiGraph& g = *gh.graph; - if (opts.k <= 0) { return {}; } - // Validate mask lengths strictly. - if (!opts.node_mask.empty() && opts.node_mask.size() != static_cast(g.num_nodes())) { - throw std::invalid_argument("CpuBackend::ksp: node_mask length mismatch"); - } - if (!opts.edge_mask.empty() && opts.edge_mask.size() != static_cast(g.num_edges())) { - throw std::invalid_argument("CpuBackend::ksp: edge_mask length mismatch"); - } - // Forward spans directly (already validated above) - return netgraph::core::k_shortest_paths(g, src, dst, opts.k, opts.max_cost_factor, - opts.unique, opts.node_mask, opts.edge_mask); - } - - std::vector batch_max_flow( - const GraphHandle& gh, - const std::vector>& pairs, - const MaxFlowOptions& opts, - const std::vector>& node_masks, - const std::vector>& edge_masks) override { - const StrictMultiDiGraph& g = *gh.graph; - // Validate batch mask lengths strictly. - for (const auto& span : node_masks) { - if (!span.empty() && span.size() != static_cast(g.num_nodes())) { - throw std::invalid_argument("CpuBackend::batch_max_flow: node_mask length mismatch"); - } - } - for (const auto& span : edge_masks) { - if (!span.empty() && span.size() != static_cast(g.num_edges())) { - throw std::invalid_argument("CpuBackend::batch_max_flow: edge_mask length mismatch"); - } - } - // Forward spans directly (already validated above) - return netgraph::core::batch_max_flow(g, pairs, - opts.placement, opts.shortest_path, - opts.require_capacity, - opts.with_edge_flows, opts.with_reachable, opts.with_residuals, - node_masks, edge_masks); - } - - std::vector> sensitivity_analysis( - const GraphHandle& gh, NodeId src, NodeId dst, const MaxFlowOptions& opts) override { - const StrictMultiDiGraph& g = *gh.graph; - // Validate mask lengths strictly. - if (!opts.node_mask.empty() && opts.node_mask.size() != static_cast(g.num_nodes())) { - throw std::invalid_argument("CpuBackend::sensitivity_analysis: node_mask length mismatch"); - } - if (!opts.edge_mask.empty() && opts.edge_mask.size() != static_cast(g.num_edges())) { - throw std::invalid_argument("CpuBackend::sensitivity_analysis: edge_mask length mismatch"); - } - return netgraph::core::sensitivity_analysis(g, src, dst, - opts.placement, opts.shortest_path, - opts.require_capacity, - opts.node_mask, opts.edge_mask); - } -}; -} // namespace - -BackendPtr make_cpu_backend() { - return std::make_shared(); -} - -} // namespace netgraph::core diff --git a/src/flow_graph.cpp b/src/flow_graph.cpp deleted file mode 100644 index 44ac4ae..0000000 --- a/src/flow_graph.cpp +++ /dev/null @@ -1,185 +0,0 @@ -/* - FlowGraph — authoritative flow ledger layered over FlowState. - - Tracks per-flow edge allocations to support exact removal and path inspection, - while delegating residual and aggregate flow management to FlowState. -*/ -#include "netgraph/core/flow_graph.hpp" -#include "netgraph/core/constants.hpp" - -#include -#include -#include - -namespace netgraph::core { - -namespace { -// Process-unique instance ids for state_stamp(); never reused, so a stamp -// taken from one FlowGraph can never match a different (or later) instance. -std::uint64_t fresh_flow_graph_uid() noexcept { - static std::atomic next_uid{1}; - return next_uid.fetch_add(1, std::memory_order_relaxed); -} -} // namespace - -FlowGraph::FlowGraph(const StrictMultiDiGraph& g) - : g_(&g), fs_(g), uid_(fresh_flow_graph_uid()) { -} - -// See the header: copies and moves must not share the source's uid, or two -// diverging objects could present equal stamps over different residuals. -FlowGraph::FlowGraph(const FlowGraph& other) - : g_(other.g_), fs_(other.fs_), ledger_(other.ledger_), - uid_(fresh_flow_graph_uid()), version_(0) { -} - -FlowGraph& FlowGraph::operator=(const FlowGraph& other) { - if (this != &other) { - g_ = other.g_; - fs_ = other.fs_; - ledger_ = other.ledger_; - uid_ = fresh_flow_graph_uid(); - version_ = 0; - } - return *this; -} - -FlowGraph::FlowGraph(FlowGraph&& other) noexcept - : g_(other.g_), fs_(std::move(other.fs_)), ledger_(std::move(other.ledger_)), - uid_(fresh_flow_graph_uid()), version_(0) { -} - -FlowGraph& FlowGraph::operator=(FlowGraph&& other) noexcept { - if (this != &other) { - g_ = other.g_; - fs_ = std::move(other.fs_); - ledger_ = std::move(other.ledger_); - uid_ = fresh_flow_graph_uid(); - version_ = 0; - } - return *this; -} - -Flow FlowGraph::place(const FlowIndex& idx, NodeId src, NodeId dst, - const PredDAG& dag, Flow amount, - FlowPlacement placement, - std::vector>* drops) { - if (amount <= 0.0) return 0.0; - ++version_; // residuals may change from here on - - // Get or create ledger entry for this flow. The ledger tracks per-edge - // cumulative amounts contributed by this flow (not just last placement). - // We append fresh deltas to the existing bucket, then coalesce by EdgeId. - auto& bucket = ledger_[idx]; - - // Delegate placement to FlowState, which returns the actual placed flow and - // populates bucket with per-edge allocations (EdgeId, Flow) pairs. - Flow placed = fs_.place_on_dag(src, dst, dag, amount, placement, &bucket, drops); - - // Coalesce and filter: merge duplicate EdgeIds. Keep any positive totals - // (do not drop sub-kMinFlow amounts) to preserve exact reversibility. - if (!bucket.empty()) { - std::vector> compact; - compact.reserve(bucket.size()); - // Sort by EdgeId to group duplicates together. - std::sort(bucket.begin(), bucket.end(), [](auto const& a, auto const& b){ return a.first < b.first; }); - // Merge consecutive entries with the same EdgeId. - for (std::size_t i=0;i 0.0) compact.emplace_back(e, static_cast(sum)); - i=j; - } - bucket.swap(compact); // replace bucket with compacted version - } - - // Clean up if no meaningful flow was placed. - if (bucket.empty() && placed < kMinFlow) { - ledger_.erase(idx); - return 0.0; - } - return placed; -} - -void FlowGraph::remove(const FlowIndex& idx) { - auto it = ledger_.find(idx); - if (it == ledger_.end()) return; // flow not found - ++version_; - const auto& deltas = it->second; - // Revert this flow's allocations from the FlowState by subtracting them. - if (!deltas.empty()) { - fs_.apply_deltas(deltas, /*add=*/false); // false = subtract - } - ledger_.erase(it); -} - -void FlowGraph::remove_by_class(FlowClass flowClass) { - std::vector to_rm; - to_rm.reserve(ledger_.size()); - for (auto const& kv : ledger_) if (kv.first.flowClass == flowClass) to_rm.push_back(kv.first); - for (auto const& idx : to_rm) remove(idx); -} - -void FlowGraph::reset() noexcept { - ++version_; - fs_.reset(); - ledger_.clear(); -} - -std::vector> FlowGraph::get_flow_edges(const FlowIndex& idx) const { - auto it = ledger_.find(idx); - if (it == ledger_.end()) return {}; - return it->second; -} - -std::vector FlowGraph::get_flow_path(const FlowIndex& idx) const { - auto it = ledger_.find(idx); - if (it == ledger_.end()) return {}; - const auto& deltas = it->second; - - // Reconstruct a simple path from the flow's edge allocations. - // This only succeeds if the flow forms a single path (not a DAG). - - // Step 1: Build adjacency map from edges with positive flow. - std::unordered_map>> adj; - // Build adjacency list from allocations using cached src/dst. - for (auto const& pr : deltas) { - if (pr.second < kEpsilon) continue; - auto eid = static_cast(pr.first); - NodeId u = g_->edge_src_view()[eid]; NodeId v = g_->edge_dst_view()[eid]; - adj[u].emplace_back(v, pr.first); - } - - // Step 2: Find starting node (out-degree == 1, in-degree == 0). - std::unordered_map indeg; - for (auto const& kv : adj) - for (auto const& pr : kv.second) - indeg[pr.first]++; - - NodeId start = -1; - for (auto const& kv : adj) { - // Candidate: has exactly one outgoing edge and zero incoming edges. - if (kv.second.size() == 1) { - if (indeg.find(kv.first) == indeg.end()) { - start = kv.first; - break; - } - } - } - if (start < 0) return {}; // no clear start node - - // Step 3: Walk the path from start, collecting edges. - std::vector path; - NodeId cur = start; - std::size_t guard = 0; // prevent infinite loops - while (adj.count(cur)) { - if (adj[cur].size() != 1) return {}; // branching detected, not a simple path - auto [nxt, eid] = adj[cur][0]; - path.push_back(eid); - cur = nxt; - if (++guard > static_cast(g_->num_edges())) return {}; // cycle detected - } - return path; -} - -} // namespace netgraph::core diff --git a/src/flow_policy.cpp b/src/flow_policy.cpp deleted file mode 100644 index b6c0d83..0000000 --- a/src/flow_policy.cpp +++ /dev/null @@ -1,850 +0,0 @@ -/* - FlowPolicy — manages path selection and flow placement for a single demand. - - Responsibilities: - - Select shortest-path predecessors (SPF) per policy via `shortest_paths`. - - Create and track flows with their current DAG and path cost. - - Place volumes using `FlowPlacement` (Proportional or EqualBalanced). - - Optionally re-optimize flows and enforce path-cost constraints. - - Notes: - - "Residual-aware" SPF considers current remaining capacity (or a per-flow - threshold) when exploring edges. - - Edge selection (multipath vs single-path) is handled natively by the SPF algorithm. -*/ -#include "netgraph/core/flow_policy.hpp" -#include "netgraph/core/constants.hpp" -#include "netgraph/core/algorithms.hpp" -#include "netgraph/core/options.hpp" -#include "netgraph/core/profiling.hpp" - -#include -#include -#include -#include -#include - -namespace netgraph::core { - -namespace { -// The equal-balanced placements share FlowPolicy's per-flow target and DAG -// refresh logic (and, except for the lossy mode, the equalizing rebalance in -// place_demand); they differ only inside FlowState::place_on_dag. -constexpr bool is_equal_balanced(FlowPlacement p) noexcept { - return p == FlowPlacement::EqualBalanced || p == FlowPlacement::EqualBalancedLossy; -} -} // namespace - -/* Reject uses that would silently produce a wrong answer: - - a FlowGraph wrapping a different graph than the policy routes on (SPF would run - on one topology while flow is placed on another); - - a (src, dst) pair different from the demand this policy already manages (the - round-robin loop routes using src/dst from the existing flow records). */ -void FlowPolicy::check_demand_target(const FlowGraph& fg, NodeId src, NodeId dst, - const char* what) const { - const auto* policy_graph = ctx_.graph.graph.get(); - if (policy_graph != nullptr && policy_graph != &fg.graph()) { - throw std::invalid_argument( - std::string("FlowPolicy::") + what + - ": the FlowGraph wraps a different StrictMultiDiGraph than this policy; " - "paths would be selected on one topology and placed on another"); - } - if (!flows_.empty()) { - const auto& existing = flows_.begin()->second; - if (existing.src != src || existing.dst != dst) { - throw std::invalid_argument( - std::string("FlowPolicy::") + what + - ": this policy already manages a demand for a different (src, dst) pair; " - "use a separate FlowPolicy per demand or call remove_demand() first"); - } - } -} - -double FlowPolicy::placed_demand() const noexcept { - double s = 0.0; - for (auto const& kv : flows_) s += kv.second.placed_flow; - return s; -} - -/* Compute an SPF predecessor DAG and its destination cost under the current - policy configuration. Honors static paths, residual capacity, and edge/node masks. */ -std::optional> FlowPolicy::get_path_bundle(const FlowGraph& fg, - NodeId src, NodeId dst, - std::optional min_flow) { - // With static paths, flows are created directly from the pinned bundles in - // place_demand_body and never reoptimized, so no dynamic bundle exists to hand - // out. Callers reaching here with static paths configured get nothing. - if (has_static_paths()) return std::nullopt; - if (path_alg_ != PathAlg::SPF) return std::nullopt; - - // Use configured selection for per-adjacency edge behavior (multi-edge, tie-breaking). - EdgeSelection sel = selection_; - - // Enforce semantic consistency between multipath and multi_edge: - // - Tunnel mode (multipath=false): force single edge per hop for true single-path semantics - // - Hash-ECMP with EqualBalanced: use all equal-cost edges to maximize fanout - if (!multipath_) { - sel.multi_edge = false; - } else if (is_equal_balanced(flow_placement_)) { - sel.multi_edge = true; - } - - // Respect capacity requirements from both config sources - sel.require_capacity = (selection_.require_capacity || require_capacity_); - // Decide whether we need residual-aware SPF. - // Residual awareness is controlled by require_capacity_: - // - require_capacity=true: Require edges to have capacity, routes adapt to residuals (SDN/TE behavior) - // - require_capacity=false: Routes based on costs only (IP/IGP behavior) - // Passing a residual to SPF forces capacity-aware selection, so a cost-only - // policy must not pass one even when an equal-balanced per-flow target is - // set; the target only shapes how much is requested per flow, not the route. - const bool require_residual = require_capacity_; - const auto residual = fg.residual_view(); - - // Edge mask: combine user-provided mask with minimum residual capacity threshold. - // For Proportional mode with min_flow threshold and max_flow_count limit, we filter edges - // by minimum capacity to ensure paths can accommodate the required flow. This prevents - // selecting low-capacity paths when limited to a single flow (max_flow_count=1). - // For EqualBalanced mode, we skip per-edge thresholds since group-based semantics mean - // per-edge thresholds can over-prune; capacity gating via residual + kMinCap is sufficient. - std::unique_ptr combined_edge_mask; - std::span final_edge_mask; - - if (require_residual && min_flow.has_value() && !is_equal_balanced(flow_placement_)) { - // Need to filter by min_flow threshold for Proportional mode - combined_edge_mask.reset(new bool[residual.size()]); - double thr = *min_flow; - - if (!edge_mask_.empty()) { - // Combine user mask with min_flow mask: both must be true - for (std::size_t i=0; i(residual[i]) >= thr); - } - } else { - // Only min_flow mask - for (std::size_t i=0; i(residual[i]) >= thr; - } - } - final_edge_mask = std::span(combined_edge_mask.get(), residual.size()); - } else if (!edge_mask_.empty()) { - // Only user-provided mask - final_edge_mask = edge_mask_; - } - - SpfOptions opts; - opts.multipath = multipath_; // Use configured multipath value (enables/disables flow splitting across equal-cost paths) - opts.selection = sel; - opts.dst = dst; - opts.residual = require_residual ? residual : std::span(); - opts.node_mask = node_mask_; // Use user-provided node mask - opts.edge_mask = final_edge_mask; - // dist.size() == num_nodes() for every SPF result, so the range check does - // not depend on the SPF output; hoisting it lets the memo skip the call. - if (dst < 0 || dst >= ctx_.graph.graph->num_nodes()) return std::nullopt; - - PredDAG dag; - Cost dst_cost; - const bool use_memo = (is_equal_balanced(flow_placement_)); - const auto stamp = fg.state_stamp(); - const bool with_residual = !opts.residual.empty(); - std::size_t hit_idx = spf_memo_.size(); - if (use_memo) { - for (std::size_t i = 0; i < spf_memo_.size(); ++i) { - const auto& e = spf_memo_[i]; - // min_flow's VALUE never reaches SPF in EB mode (the value-derived edge - // mask is Proportional-only); only has_value() matters, via - // require_residual. Keying on the value caused misses whenever rebalance - // rounds adjusted the per-flow target against unchanged residuals. - if (e.src != src || e.dst != dst || e.with_residual != with_residual || - e.has_min_flow != min_flow.has_value()) { - continue; - } - // Fast path: same FlowGraph, no mutation since the entry was stored. - // Content path: byte-identical residuals (rebalance remove+place - // round-trips restore content while the version keeps advancing). - const bool same = !with_residual || e.stamp == stamp || - (e.residual.size() == opts.residual.size() && - std::memcmp(e.residual.data(), opts.residual.data(), - opts.residual.size() * sizeof(Cap)) == 0); - if (same) { hit_idx = i; break; } - } - } - if (hit_idx < spf_memo_.size()) { - dag = spf_memo_[hit_idx].dag; - dst_cost = spf_memo_[hit_idx].dst_cost; - // MRU: move the hit to the front so hot entries stay cheap to find. - if (hit_idx != 0) { - std::rotate(spf_memo_.begin(), spf_memo_.begin() + hit_idx, - spf_memo_.begin() + hit_idx + 1); - } - } else { - auto res = ctx_.algorithms->spf_dag(ctx_.graph, src, dst, opts); - dag = std::move(res.second); - dst_cost = res.first; - if (use_memo) { - SpfMemoEntry entry; - entry.src = src; - entry.dst = dst; - entry.with_residual = with_residual; - entry.stamp = stamp; - entry.residual.assign(opts.residual.begin(), opts.residual.end()); - entry.has_min_flow = min_flow.has_value(); - entry.dag = dag; - entry.dst_cost = dst_cost; - const std::size_t entry_bytes = - entry.residual.size() * sizeof(Cap) + - entry.dag.parent_offsets.size() * sizeof(std::int32_t) + - entry.dag.parents.size() * (sizeof(NodeId) + sizeof(EdgeId)) + - sizeof(SpfMemoEntry); - const std::size_t cap = std::clamp( - kSpfMemoMaxBytes / std::max(entry_bytes, 1), 1, - kSpfMemoMaxEntries); - spf_memo_.insert(spf_memo_.begin(), std::move(entry)); - if (spf_memo_.size() > cap) spf_memo_.resize(cap); - } - } - if (dst_cost < best_path_cost_) best_path_cost_ = dst_cost; - - // Enforce path cost constraints: - // 1. In shortest_path mode, only allow paths with cost equal to best discovered cost. - // This prevents the policy from stepping up to higher-cost tiers incrementally. - if (shortest_path_ && dst_cost > best_path_cost_) { - return std::nullopt; - } - - // 2. Check absolute and relative path cost limits. - // max_path_cost: absolute upper bound on path cost. - // max_path_cost_factor: relative multiplier on best path cost (e.g. 1.5 = allow 50% longer). - if (max_path_cost_.has_value() || max_path_cost_factor_.has_value()) { - const Cost absmax = max_path_cost_.value_or(std::numeric_limits::max()); - // Apply the relative bound only when a best cost exists: multiplying the - // INT64_MAX "no best yet" sentinel by the factor and casting back is - // undefined behavior (the product exceeds the int64 range). - Cost factor_bound = std::numeric_limits::max(); - if (max_path_cost_factor_.has_value() && - best_path_cost_ != std::numeric_limits::max()) { - const double prod = static_cast(best_path_cost_) * *max_path_cost_factor_; - if (prod < static_cast(std::numeric_limits::max())) { - factor_bound = static_cast(prod); - } - } - if (dst_cost > std::min(absmax, factor_bound)) return std::nullopt; - } - // Ensure there is at least one predecessor for dst - if (static_cast(dst) >= dag.parent_offsets.size()-1) return std::nullopt; - if (dag.parent_offsets[static_cast(dst)] == dag.parent_offsets[static_cast(dst)+1]) return std::nullopt; - // Return DAG and cost as-is; placement logic decides proportional vs equal-balanced behavior. - return std::make_optional(std::make_pair(std::move(dag), dst_cost)); -} - -FlowIndex FlowPolicy::next_flow_index(const FlowGraph& fg, NodeId src, NodeId dst, FlowClass flowClass) { - FlowIndex idx{src, dst, flowClass, next_flow_id_++}; - if (fg.has_flow(idx)) { - throw std::invalid_argument( - "FlowPolicy: flow id " + std::to_string(idx.flowId) + " for (" + std::to_string(src) + ", " + - std::to_string(dst) + ", class " + std::to_string(flowClass) + ") already exists in the FlowGraph; " - "another policy manages the same demand on this FlowGraph"); - } - return idx; -} - -/* Create a new flow using the current path bundle. Returns nullptr if no - admissible path is available given constraints. */ -FlowRecord* FlowPolicy::create_flow(FlowGraph& fg, NodeId src, NodeId dst, FlowClass flowClass, - std::optional min_flow) { - FlowIndex idx = next_flow_index(fg, src, dst, flowClass); - - // Request a path DAG from shortest paths algorithm. - auto pb = get_path_bundle(fg, src, dst, min_flow); - if (!pb.has_value()) return nullptr; // No admissible path found - - // Destructure the returned pair (DAG, cost). - auto [dag, cost] = std::move(pb.value()); - - // Create flow record and insert into flows_ map. - FlowRecord f(idx, src, dst, std::move(dag), cost); - auto [it, ok] = flows_.emplace(idx, std::move(f)); // emplace returns (iterator, success_flag) - (void)ok; // suppress unused variable warning - return &it->second; -} - -/* Re-select a path for an existing flow, requesting at least (current+headroom) - residual. On failure, restores the flow on its original DAG. - - Reoptimization is useful when a flow's current path becomes suboptimal due to - network changes or when seeking additional capacity. */ -FlowRecord* FlowPolicy::reoptimize_flow(FlowGraph& fg, const FlowIndex& idx, double headroom) { - // Pinned means pinned: a static-path flow is never rerouted. (Deliberate - // divergence from the original Python port, where reoptimization could - // silently move a pinned flow onto an SPF path.) Must precede any - // remove/re-place churn below. - if (has_static_paths()) return nullptr; - auto it = flows_.find(idx); - if (it == flows_.end()) return nullptr; - FlowRecord& cur = it->second; - const double current = cur.placed_flow; - const double new_min = current + headroom; - - // Temporarily remove this flow's deltas from the graph to compute a path - // based on available capacity (excluding this flow's own usage). - fg.remove(idx); - auto pb = get_path_bundle(fg, cur.src, cur.dst, new_min); - if (!pb.has_value()) { - // Reoptimization failed: restore flow on original DAG. - Flow placed = fg.place(idx, cur.src, cur.dst, cur.dag, current, flow_placement_); - cur.placed_flow = placed; // may be slightly less if capacity changed; acceptable - return nullptr; - } - - // Reoptimization succeeded: update flow to use new DAG. - auto [dag, cost] = std::move(pb.value()); - cur.dag = std::move(dag); - cur.cost = cost; - Flow placed = fg.place(idx, cur.src, cur.dst, cur.dag, current, flow_placement_); - cur.placed_flow = placed; - return &cur; -} - -/* Place `volume` of demand according to the policy. When `target_per_flow` - is provided (e.g., during rebalancing), each flow aims for that target. - Returns (total_placed, leftover). */ -std::pair FlowPolicy::place_demand(FlowGraph& fg, - NodeId src, NodeId dst, - FlowClass flowClass, - double volume, - std::optional target_per_flow, - std::optional min_flow) { - NGRAPH_PROFILE_SCOPE("place_demand"); - - check_demand_target(fg, src, dst, "place_demand"); - - auto [total_placed, remaining] = place_demand_body(fg, src, dst, flowClass, volume, - target_per_flow, min_flow); - - // For EQUAL_BALANCED placement, rebalance flows to maintain equal volumes. - // - // Iterative on purpose: the previous implementation recursed - // place_demand -> rebalance_demand -> place_demand until balanced, and with many - // pinned bundles of heterogeneous capacity the depth grows like - // U * ln(imbalance / kMinFlow) -- a stack-overflow risk on worker threads. Each - // round below performs exactly what one recursion level performed (re-place the - // currently placed volume at the equal-share target), and the recursion's return - // value telescoped to (placed_demand(), pre-rebalance leftover + volume lost in - // rebalancing), which is reproduced after the loop. - // Lossy placement is best-effort: each flow is offered its share and carries - // what fits, so equalizing what was *carried* would contradict the model - // (it would throttle the healthy flows down to the congested one). - if (is_equal_balanced(flow_placement_) && - flow_placement_ != FlowPlacement::EqualBalancedLossy && !flows_.empty()) { - // Restore the reoptimize flag even if a round throws (bad_alloc is the only - // realistic thrower here); otherwise the policy would stay permanently - // non-reoptimizing. - struct ReoptRestore { - bool& flag; - bool prev; - ~ReoptRestore() { flag = prev; } - } reopt_restore{reoptimize_flows_on_each_placement_, reoptimize_flows_on_each_placement_}; - reoptimize_flows_on_each_placement_ = false; - const double pre_rounds_placed = placed_demand(); - bool rebalanced = false; - // Backstop only; each round strictly reduces the imbalance in practice. - constexpr int kMaxRebalanceRounds = 65536; - for (int round = 0; round < kMaxRebalanceRounds && !flows_.empty(); ++round) { - const double target_eq = placed_demand() / static_cast(flows_.size()); - bool unbalanced = false; - for (auto const& kv : flows_) { - if (std::abs(target_eq - kv.second.placed_flow) >= kMinFlow) { unbalanced = true; break; } - } - if (!unbalanced) break; - rebalanced = true; - const double vol = placed_demand(); - remove_demand(fg); - (void)place_demand_body(fg, src, dst, flowClass, vol, target_eq, std::nullopt); - } - if (rebalanced) { - const double final_placed = placed_demand(); - remaining += pre_rounds_placed - final_placed; // volume shed while rebalancing - total_placed = final_placed; - } - } - return { total_placed, remaining }; -} - -/* Placement core; see place_demand for the public contract. */ -std::pair FlowPolicy::place_demand_body(FlowGraph& fg, - NodeId src, NodeId dst, - FlowClass flowClass, - double volume, - std::optional target_per_flow, - std::optional min_flow) { - const bool is_static = has_static_paths(); - - // Compute target flow per flow-record. - // target: the volume to place per flow (or globally if target_per_flow is unset). - // per_target: refined target for EqualBalanced mode (considers source capacity). - double target = target_per_flow.value_or(volume); - double per_target = target; - - // EqualBalanced divisor: the number of flows the volume is split across. For a - // pinned policy that is the number of USABLE bundles (a head-end hashes over up - // LSPs only); dynamically it is the configured max_flow_count. - int eb_divisor = 0; - if (is_equal_balanced(flow_placement_)) { - if (is_static) eb_divisor = static_cast(static_bundles_.size()); - else if (max_flow_count_.has_value()) eb_divisor = *max_flow_count_; - } - - // For EqualBalanced, compute a per-flow target based on available source - // capacity and the requested volume, divided by the number of flows. - if (eb_divisor > 0) { - const auto& g = fg.graph(); - auto row = g.row_offsets_view(); - auto aei = g.adj_edge_index_view(); - auto residual = fg.residual_view(); - - // Compute total residual capacity on edges leaving src. - double src_cap = 0.0; - if (src >= 0 && src < g.num_nodes()) { - auto s = static_cast(row[static_cast(src)]); - auto e = static_cast(row[static_cast(src)+1]); - for (std::size_t j = s; j < e; ++j) { - auto eid = static_cast(aei[j]); - src_cap += static_cast(residual[eid]); - } - } - // Per-flow target: min of requested volume and source capacity, per flow. - double per_req = target / static_cast(eb_divisor); - double per_src = src_cap / static_cast(eb_divisor); - per_target = std::max(kMinFlow, std::min(per_req, per_src)); - } - - // Initialize flows if none exist yet. - if (flows_.empty()) { - if (is_static) { - // Pinned bundles: one flow per usable bundle, in supply order, each bound to - // its own (pruned) DAG and post-prune cost. - if (src != static_src_ || dst != static_dst_) { - throw std::invalid_argument( - "Source and destination nodes of static paths do not match demand."); - } - for (auto const& b : static_bundles_) { - FlowIndex idx = next_flow_index(fg, src, dst, flowClass); - flows_.emplace(idx, FlowRecord(idx, src, dst, b.dag, b.cost)); - } - } else { - // Dynamic paths: seed initial flows. - int initial = min_flow_count_; - if (max_flow_count_.has_value()) { - initial = std::min(initial, *max_flow_count_); - } - auto min_req = (is_equal_balanced(flow_placement_) && max_flow_count_.has_value()) - ? std::optional(per_target) - : min_flow; - // Seeding places no flow, so residuals do not change between iterations and - // every create_flow() here would recompute the identical SPF. Compute the - // bundle once and copy it into each seeded flow. - if (initial > 0) { - if (auto pb = get_path_bundle(fg, src, dst, min_req)) { - for (int i = 0; i < initial; ++i) { - FlowIndex idx = next_flow_index(fg, src, dst, flowClass); - FlowRecord f(idx, src, dst, pb->first, pb->second); - flows_.emplace(idx, std::move(f)); - } - } - } - } - } - // Round-robin placement: iterate over flows and try to place volume on each. - std::deque q; - for (auto const& kv : flows_) q.push_back(kv.first); - if (is_static) { - // Pinned bundles have a documented precedence: bundle-supply order. Flow ids - // are assigned in that order, so sorting makes the visit order deterministic - // across platforms (unordered_map iteration order is not). - std::sort(q.begin(), q.end(), - [](const FlowIndex& a, const FlowIndex& b) { return a.flowId < b.flowId; }); - } - double total_placed = 0.0; - int no_progress = 0; // counter for consecutive iterations with no progress - int iters = 0; - - // Diminishing-returns tracking for early exit. - std::deque recent; - const double initial_request = volume; - - while (volume >= kMinFlow && !q.empty()) { - FlowIndex cur_idx = q.front(); q.pop_front(); - auto it_cur = flows_.find(cur_idx); - if (it_cur == flows_.end()) continue; // flow removed during iteration - FlowRecord* f = &it_cur->second; - - // Must have a DAG to place; skip otherwise. - if (f->dag.parent_offsets.empty()) { - ++no_progress; - if (no_progress>=max_no_progress_iterations_) break; - continue; - } - // Refresh DAG based on current residuals for dynamic path selection. - // This prunes saturated next-hops and updates path selection. - // For multipath flows, this tracks saturated edges within the DAG. - // For tunnel flows, this allows different tunnels to discover different paths - // as residuals change, enabling natural fan-out across equal-cost paths. - if (is_equal_balanced(flow_placement_) && !is_static) { - if (auto pb = get_path_bundle(fg, f->src, f->dst, std::optional(per_target))) { - f->dag = std::move(pb->first); - f->cost = pb->second; - } - } - double need; - if (target_per_flow.has_value()) { - // When a per-flow target is specified (e.g., during rebalancing), cap by remaining per-flow target. - need = std::max(0.0, target - f->placed_flow); - } else if (eb_divisor > 0) { - // For EqualBalanced, request only the remaining deficit toward per-target for this flow. - need = std::max(0.0, per_target - f->placed_flow); - } else { - // Default behavior uses the global target amount. - need = target; - } - const double request = std::min(need, volume); - Flow placed = fg.place(f->index, f->src, f->dst, f->dag, request, flow_placement_); - f->placed_flow += placed; - volume -= placed; - total_placed += placed; - ++iters; - // IP-like mode: perform a single augmentation over the current SPF DAG - if (shortest_path_) { - break; - } - // Track recent placements. For a pinned policy, arm the window only once every - // flow has been visited: with more bundles than the window, the early rounds of - // small per-flow placements must not starve the bundles not yet visited. - if (diminishing_returns_enabled_ && - (!is_static || iters >= static_cast(flows_.size()))) { - recent.push_back(placed); - if (static_cast(recent.size()) > diminishing_returns_window_) recent.pop_front(); - if (static_cast(recent.size()) == diminishing_returns_window_) { - double sum_recent = 0.0; for (double x : recent) sum_recent += x; - const double threshold = std::max(kMinFlow, diminishing_returns_epsilon_frac_ * initial_request); - if (sum_recent < threshold) { - break; // graceful cutoff - } - } - } - if (placed < kMinFlow) { - ++no_progress; if (no_progress>=max_no_progress_iterations_) break; - } else { - no_progress = 0; - } - // A pinned policy neither grows its flow set nor reoptimizes: the pinned-ness - // guard is explicit, never inferred from flow-count arithmetic. - if (!is_static) { - if (is_equal_balanced(flow_placement_)) { - if (max_flow_count_.has_value()) { - // Bounded EB: add flows up to configured maximum. - if (static_cast(flows_.size()) < *max_flow_count_) { - if (auto* nf = create_flow(fg, src, dst, flowClass, std::optional(per_target))) q.push_back(nf->index); - } - } else { - // Unbounded EB: rely on a single flow to equalize over the DAG. - // Do not create additional flows implicitly. - } - } else { - if (target - f->placed_flow >= kMinFlow) { - if (!max_flow_count_ || static_cast(flows_.size()) < *max_flow_count_) { - if (auto* nf = create_flow(fg, src, dst, flowClass, std::nullopt)) q.push_back(nf->index); - } else { - if (auto* rf = reoptimize_flow(fg, f->index, kMinFlow)) q.push_back(rf->index); - } - } - } - } - if (iters >= max_total_iterations_) break; - } - - // Reoptimize all flows after placement if enabled (no-op for pinned policies: - // reoptimize_flow returns immediately when static paths are configured). - if (reoptimize_flows_on_each_placement_) { - for (auto& kv : flows_) { - (void)reoptimize_flow(fg, kv.first, kMinFlow); - } - } - return { total_placed, volume }; -} - -/* Rebalance existing placed demand such that each flow carries approximately - `target_per_flow`. Internally removes and re-places the same total volume. */ -std::pair FlowPolicy::rebalance_demand(FlowGraph& fg, - NodeId src, NodeId dst, - FlowClass flowClass, - double target_per_flow) { - // Must run before remove_demand() empties flows_, or the check inside - // place_demand() would have nothing left to compare against and would - // silently retarget this policy's volume onto a different node pair. - check_demand_target(fg, src, dst, "rebalance_demand"); - double vol = placed_demand(); - remove_demand(fg); - return place_demand(fg, src, dst, flowClass, vol, target_per_flow, std::nullopt); -} - -/* Remove all placed flows for this policy from the FlowGraph and reset - per-flow placed volumes. */ -void FlowPolicy::remove_demand(FlowGraph& fg) { - for (auto const& kv : flows_) { - fg.remove(kv.first); - } - flows_.clear(); - best_path_cost_ = std::numeric_limits::max(); -} - -namespace { - -/* Validate one pinned bundle against the graph, prune it against the policy's - masks, and compute its post-prune min cost. Throws std::invalid_argument on a - malformed bundle; returns nullopt for a structurally valid bundle that has no - surviving src->dst walk under the masks (a DOWN LSP). */ -std::optional> -prepare_static_bundle(const StrictMultiDiGraph& g, const PredDAG& dag, - NodeId src, NodeId dst, - std::span node_mask, - std::span edge_mask) { - const auto N = static_cast(g.num_nodes()); - const auto E = static_cast(g.num_edges()); - const auto& off = dag.parent_offsets; - const auto& par = dag.parents; - const auto& via = dag.via_edges; - - // Shape: CSR offsets over N nodes, entry arrays sized by the final offset. - if (off.size() != N + 1 || off.front() != 0) { - throw std::invalid_argument("static path bundle: parent_offsets must have length num_nodes + 1 and start at 0"); - } - for (std::size_t v = 0; v + 1 < off.size(); ++v) { - if (off[v] > off[v + 1]) { - throw std::invalid_argument("static path bundle: parent_offsets must be non-decreasing"); - } - } - const auto entries = static_cast(off.back()); - if (par.size() != entries || via.size() != entries) { - throw std::invalid_argument("static path bundle: parents/via_edges size must equal parent_offsets.back()"); - } - - // Entries: ids in range, and each via edge must actually connect parent -> child - // in THIS graph. Without the endpoint check, a well-shaped DAG built for a - // different graph (or with shuffled edge ids) would silently place flow on - // arbitrary edges. - const auto esrc = g.edge_src_view(); - const auto edst = g.edge_dst_view(); - for (std::size_t v = 0; v < N; ++v) { - for (auto i = static_cast(off[v]); i < static_cast(off[v + 1]); ++i) { - const auto pnode = par[i]; - const auto e = via[i]; - if (pnode < 0 || static_cast(pnode) >= N) { - throw std::invalid_argument("static path bundle: parent node id out of range"); - } - if (e < 0 || static_cast(e) >= E) { - throw std::invalid_argument("static path bundle: via edge id out of range"); - } - if (esrc[static_cast(e)] != pnode || - edst[static_cast(e)] != static_cast(v)) { - throw std::invalid_argument( - "static path bundle: via edge does not connect its parent to its node in " - "this graph (bundle built for a different graph?)"); - } - } - } - - // Acyclicity (Kahn over parent -> child entries). - { - std::vector indeg(N, 0); - for (std::size_t v = 0; v < N; ++v) { - indeg[v] = static_cast(off[v + 1] - off[v]); - } - std::vector stack; - stack.reserve(N); - for (std::size_t v = 0; v < N; ++v) { - if (indeg[v] == 0) stack.push_back(static_cast(v)); - } - std::size_t seen = 0; - // Child adjacency: parent -> list of children, derived on the fly. - std::vector> children(N); - for (std::size_t v = 0; v < N; ++v) { - for (auto i = static_cast(off[v]); i < static_cast(off[v + 1]); ++i) { - children[static_cast(par[i])].push_back(static_cast(v)); - } - } - while (!stack.empty()) { - auto u = stack.back(); stack.pop_back(); - ++seen; - for (auto v : children[static_cast(u)]) { - if (--indeg[static_cast(v)] == 0) stack.push_back(v); - } - } - if (seen != N) { - throw std::invalid_argument("static path bundle: predecessor structure contains a cycle"); - } - } - - // Structural src->dst connectivity ignoring masks: a bundle that never had an - // src->dst walk is malformed for this demand, distinct from being down. - auto backward_reaches_src = [&](auto&& admit_entry) { - std::vector reach(N, 0); - std::vector bfs; - bfs.push_back(dst); - reach[static_cast(dst)] = 1; - for (std::size_t head = 0; head < bfs.size(); ++head) { - const auto v = static_cast(bfs[head]); - for (auto i = static_cast(off[v]); i < static_cast(off[v + 1]); ++i) { - if (!admit_entry(i)) continue; - const auto pnode = par[i]; - if (!reach[static_cast(pnode)]) { - reach[static_cast(pnode)] = 1; - bfs.push_back(pnode); - } - } - } - return reach[static_cast(src)] != 0; - }; - if (!backward_reaches_src([](std::size_t) { return true; })) { - throw std::invalid_argument("static path bundle: no src->dst walk exists in the bundle"); - } - - // Prune against the policy's masks (failure exclusions), then re-check - // connectivity: no surviving walk means the LSP is DOWN. - const bool use_nm = !node_mask.empty(); - const bool use_em = !edge_mask.empty(); - auto entry_up = [&](std::size_t i) { - const auto pnode = static_cast(par[i]); - const auto e = static_cast(via[i]); - if (use_em && !edge_mask[e]) return false; - if (use_nm && !node_mask[pnode]) return false; - return true; - }; - auto node_up = [&](NodeId v) { return !use_nm || node_mask[static_cast(v)]; }; - if (!node_up(src) || !node_up(dst)) return std::nullopt; - - PredDAG pruned; - pruned.parent_offsets.assign(N + 1, 0); - for (std::size_t v = 0; v < N; ++v) { - std::int32_t c = 0; - if (node_up(static_cast(v))) { - for (auto i = static_cast(off[v]); i < static_cast(off[v + 1]); ++i) { - if (entry_up(i)) ++c; - } - } - pruned.parent_offsets[v + 1] = pruned.parent_offsets[v] + c; - } - pruned.parents.resize(static_cast(pruned.parent_offsets.back())); - pruned.via_edges.resize(static_cast(pruned.parent_offsets.back())); - for (std::size_t v = 0; v < N; ++v) { - auto w = static_cast(pruned.parent_offsets[v]); - if (!node_up(static_cast(v))) continue; - for (auto i = static_cast(off[v]); i < static_cast(off[v + 1]); ++i) { - if (!entry_up(i)) continue; - pruned.parents[w] = par[i]; - pruned.via_edges[w] = via[i]; - ++w; - } - } - - const auto& poff = pruned.parent_offsets; - { - std::vector reach(N, 0); - std::vector bfs; - bfs.push_back(dst); - reach[static_cast(dst)] = 1; - for (std::size_t head = 0; head < bfs.size(); ++head) { - const auto v = static_cast(bfs[head]); - for (auto i = static_cast(poff[v]); i < static_cast(poff[v + 1]); ++i) { - const auto pnode = pruned.parents[i]; - if (!reach[static_cast(pnode)]) { - reach[static_cast(pnode)] = 1; - bfs.push_back(pnode); - } - } - } - if (!reach[static_cast(src)]) return std::nullopt; // DOWN - } - - // Cost: min-cost src->dst walk within the PRUNED bundle, so the flow reports the - // metric of a walk it can actually use. DP in a topological order of the pruned - // DAG (acyclicity established above; pruning cannot introduce cycles). - Cost best = std::numeric_limits::max(); - { - const auto costs = g.cost_view(); - std::vector dist(N, std::numeric_limits::max()); - dist[static_cast(src)] = 0; - std::vector indeg(N, 0); - std::vector>> children(N); - for (std::size_t v = 0; v < N; ++v) { - indeg[v] = static_cast(poff[v + 1] - poff[v]); - for (auto i = static_cast(poff[v]); i < static_cast(poff[v + 1]); ++i) { - children[static_cast(pruned.parents[i])].emplace_back( - static_cast(v), pruned.via_edges[i]); - } - } - std::vector stack; - for (std::size_t v = 0; v < N; ++v) { - if (indeg[v] == 0) stack.push_back(static_cast(v)); - } - while (!stack.empty()) { - auto u = stack.back(); stack.pop_back(); - const auto du = dist[static_cast(u)]; - for (auto [v, e] : children[static_cast(u)]) { - if (du != std::numeric_limits::max()) { - const Cost cand = du + costs[static_cast(e)]; - if (cand < dist[static_cast(v)]) dist[static_cast(v)] = cand; - } - if (--indeg[static_cast(v)] == 0) stack.push_back(v); - } - } - best = dist[static_cast(dst)]; - } - return std::make_optional(std::make_pair(std::move(pruned), best)); -} - -} // namespace - -/* See flow_policy.hpp for the contract. */ -void FlowPolicy::set_static_paths(NodeId src, NodeId dst, std::vector bundles) { - const auto* g = ctx_.graph.graph.get(); - if (g == nullptr) { - throw std::invalid_argument("FlowPolicy::set_static_paths: policy has no graph"); - } - if (!flows_.empty()) { - throw std::invalid_argument( - "FlowPolicy::set_static_paths: policy already holds flows; call remove_demand() first"); - } - if (bundles.empty()) { - throw std::invalid_argument("FlowPolicy::set_static_paths: bundles must be non-empty"); - } - if (shortest_path_) { - throw std::invalid_argument( - "FlowPolicy::set_static_paths: incompatible with shortest_path=true (single-" - "augmentation IP semantics contradict pinned multi-LSP placement)"); - } - const auto N = g->num_nodes(); - if (src < 0 || src >= N || dst < 0 || dst >= N || src == dst) { - throw std::invalid_argument("FlowPolicy::set_static_paths: src/dst out of range or equal"); - } - // Validate the USER's max_flow_count against the supplied bundle count. The - // configured value is never overwritten: the usable (up) count U drives the - // per-flow math at placement time, and N - flow_count() is the down-LSP count. - if (max_flow_count_.has_value() && *max_flow_count_ != static_cast(bundles.size())) { - throw std::invalid_argument("If set, max_flow_count must be equal to the number of static paths."); - } - - std::vector usable; - usable.reserve(bundles.size()); - for (auto const& dag : bundles) { - if (auto prepared = prepare_static_bundle(*g, dag, src, dst, node_mask_, edge_mask_)) { - usable.push_back(StaticBundle{std::move(prepared->first), prepared->second}); - } - } - static_src_ = src; - static_dst_ = dst; - static_supplied_count_ = static_cast(bundles.size()); - static_bundles_ = std::move(usable); -} - -} // namespace netgraph::core diff --git a/src/flow_state.cpp b/src/flow_state.cpp deleted file mode 100644 index b95caff..0000000 --- a/src/flow_state.cpp +++ /dev/null @@ -1,674 +0,0 @@ -/* - FlowState — residual capacities and placement over a fixed graph. - - Maintains per-edge residual capacity and cumulative edge flows. Supports - three placement strategies when pushing flow along an SPF DAG: - - Proportional: distribute flow proportionally to residual capacity, - processing nodes in topological order from source to destination. - - EqualBalanced: *single-pass ECMP admission* on a fixed DAG. The split set - is the DAG's edges with capacity (the topology's next-hop set); we - compute a single global scale so no edge is oversubscribed, then return. - A member filled since the DAG was built yields scale 0: a forwarding - table does not react to load. place_max_flow() progresses by recomputing - the DAG with a residual-aware SPF. - - EqualBalancedLossy: equal split over the same capacity-based set with no - scaling; each edge carries min(share, residual) and drops the excess, - deficits propagate downstream, and the placed amount is what reaches - dst (best-effort hash-ECMP forwarding). -*/ -#include "netgraph/core/flow_state.hpp" -#include "netgraph/core/shortest_paths.hpp" -#include "netgraph/core/constants.hpp" -#include "netgraph/core/profiling.hpp" - -#include -#include -#include -#include -#include -#include -#include -#include - -namespace netgraph::core { -namespace { - -// Dinic-style edge for the reversed residual graph (used in Proportional placement). -// Each edge u->v represents a group of parallel forward edges with aggregated capacity. -struct DinicEdge { - std::int32_t to; // destination node - std::int32_t rev; // index of reverse edge in adj[to] - double cap; // current residual capacity - double init_cap; // initial capacity (snapshot at augmentation start) - std::int32_t group; // index into groups array (-1 if reverse edge) -}; - -// Workspace for Dinic-like augmentations on the reversed residual graph. -// We reverse the DAG (dst becomes source) to enable topological flow placement. -struct FlowWorkspace { - std::vector> adj; // reversed residual graph - std::vector level; // BFS level for level graph - std::vector it; // DFS iteration pointer per node - - void reset(std::int32_t n) { - adj.assign(static_cast(n), {}); - level.assign(static_cast(n), -1); - it.assign(static_cast(n), 0); - } - void add_edge(std::int32_t u, std::int32_t v, double c, std::int32_t group_idx) { - // Add forward edge u->v and its reverse v->u (with zero initial capacity). - // Forward edge stores the group index for later proportional distribution. - DinicEdge a{v, static_cast(adj[static_cast(v)].size()), c, c, group_idx}; - DinicEdge b{u, static_cast(adj[static_cast(u)].size()), 0.0, 0.0, -1}; - adj[static_cast(u)].push_back(a); - adj[static_cast(v)].push_back(b); - } - bool bfs(std::int32_t s, std::int32_t t) { - std::fill(level.begin(), level.end(), -1); - std::queue q; - level[static_cast(s)] = 0; - q.push(s); - while (!q.empty()) { - auto u = q.front(); q.pop(); - for (auto const& e : adj[static_cast(u)]) { - if (e.cap >= kMinCap && level[static_cast(e.to)] < 0) { - level[static_cast(e.to)] = level[static_cast(u)] + 1; - q.push(e.to); - } - } - } - return level[static_cast(t)] >= 0; - } - double dfs(std::int32_t u, std::int32_t t, double f) { - if (u == t) return f; - for (auto& i = it[static_cast(u)]; i < static_cast(adj[static_cast(u)].size()); ++i) { - DinicEdge& e = adj[static_cast(u)][static_cast(i)]; - if (e.cap < kMinCap) continue; - if (level[static_cast(e.to)] != level[static_cast(u)] + 1) continue; - double d = dfs(e.to, t, std::min(f, e.cap)); - if (d >= kMinFlow) { - e.cap -= d; - DinicEdge& r = adj[static_cast(e.to)][static_cast(e.rev)]; - r.cap += d; - return d; - } - } - return 0.0; - } -}; - -// Edges from parent u to child v grouped by (u,v) for proportional/EB logic. -// In the DAG, parent u is a predecessor of child v on a shortest path. -struct EdgeGroup { - std::int32_t from; // child v (destination of grouped edges) - std::int32_t to; // parent u (source of grouped edges) - // Underlying forward edges u->v (parallel edges) as a slice of GroupSet::eids. - // Storing a slice rather than a std::vector keeps group building allocation-free; - // rebuilding groups after every augmentation used to dominate place_on_dag. - std::int32_t eid_begin {0}; - std::int32_t eid_count {0}; - Cap sum_cap {0.0}; // sum of residual capacities for Proportional placement - Cap min_cap {0.0}; // min residual capacity for EqualBalanced placement -}; - -// Groups plus the arena backing their edge slices, and the scratch used to build -// them. One instance is reused across every rebuild within a place_on_dag call so -// the buffers keep their capacity. -struct GroupSet { - std::vector groups; - std::vector eids; // arena: group gi owns [eid_begin, +eid_count) - std::vector reach; // scratch: backward reachability from t - std::vector uniq; // scratch: distinct parents of one node - std::vector bfs; // scratch: BFS queue - - [[nodiscard]] std::span edges_of(const EdgeGroup& gr) const noexcept { - return std::span(eids.data() + gr.eid_begin, - static_cast(gr.eid_count)); - } -}; - -// Build grouped edges by (parent u, child v) that can reach destination t. -// Membership is decided by residual (edges that can still carry flow) for -// Proportional placement, or by capacity when members_by_capacity is set: every -// DAG edge with capacity is a member and sum_cap/min_cap still reflect the -// current residual, so a member filled since the DAG was built contributes -// min_cap = 0. The equal-balanced placements use the latter to model a -// forwarding table that does not react to load. -static void build_groups_residual(const StrictMultiDiGraph& g, - const PredDAG& dag, NodeId t, - const std::vector& residual, - bool members_by_capacity, - GroupSet& gs) { - const auto capacity = g.capacity_view(); - gs.groups.clear(); - gs.eids.clear(); - const auto& offsets = dag.parent_offsets; - const auto& parents = dag.parents; - const auto& via = dag.via_edges; - const auto N = g.num_nodes(); - // Compute reachability: BFS backward from destination t to identify nodes on SPF DAG. - gs.reach.assign(static_cast(N), 0); - if (t >= 0 && t < N) { - gs.bfs.clear(); - gs.bfs.push_back(t); - gs.reach[static_cast(t)] = 1; - for (std::size_t head = 0; head < gs.bfs.size(); ++head) { - const auto v = gs.bfs[head]; - // Iterate over v's predecessors (parents in the DAG). - std::size_t s = static_cast(offsets[static_cast(v)]); - std::size_t e = static_cast(offsets[static_cast(v + 1)]); - for (std::size_t i = s; i < e; ++i) { - auto u = parents[i]; - if (!gs.reach[static_cast(u)]) { gs.reach[static_cast(u)] = 1; gs.bfs.push_back(u); } - } - } - } - // For each reachable node v, group its incoming DAG edges by parent node u. - // This creates one group per (u, v) pair, aggregating parallel edges. - // Two passes per node (collect distinct parents, then gather each parent's edges) - // keep every group's edges contiguous in the arena without any allocation. - for (std::int32_t v = 0; v < N; ++v) { - if (!gs.reach[static_cast(v)]) continue; - const std::size_t s = static_cast(offsets[static_cast(v)]); - const std::size_t e = static_cast(offsets[static_cast(v + 1)]); - // Pass 1: distinct parents, in first-appearance order (matches the previous - // by_parent ordering, so emitted groups keep the same order as before). - gs.uniq.clear(); - for (std::size_t i = s; i < e; ++i) { - const auto u = parents[i]; - bool found = false; - for (auto pu : gs.uniq) { if (pu == u) { found = true; break; } } - if (!found) gs.uniq.push_back(u); - } - // Pass 2: gather each parent's admissible parallel edges contiguously. - for (auto u : gs.uniq) { - EdgeGroup gr; - gr.from = v; gr.to = u; - gr.eid_begin = static_cast(gs.eids.size()); - gr.sum_cap = static_cast(0.0); gr.min_cap = std::numeric_limits::infinity(); - for (std::size_t i = s; i < e; ++i) { - if (parents[i] != u) continue; - const auto eid0 = via[i]; - const Cap c = residual[static_cast(eid0)]; - const Cap gate = members_by_capacity ? capacity[static_cast(eid0)] : c; - if (gate >= kMinCap) { - gs.eids.push_back(eid0); - gr.sum_cap += c; - gr.min_cap = std::min(gr.min_cap, c); - } - } - gr.eid_count = static_cast(gs.eids.size()) - gr.eid_begin; - if (gr.min_cap == std::numeric_limits::infinity()) gr.min_cap = static_cast(0.0); - if (gr.eid_count > 0) gs.groups.push_back(gr); - // else: nothing was appended, so the arena is already back at eid_begin. - } - } -} - -// Construct reversed residual graph for Dinic BFS/DFS using group capacities. -static void build_reversed_residual(FlowWorkspace& ws, std::int32_t N, const std::vector& groups) { - ws.reset(N); - for (std::int32_t idx = 0; idx < static_cast(groups.size()); ++idx) { - const auto& gr = groups[static_cast(idx)]; - if (gr.sum_cap >= kMinCap) { - ws.add_edge(gr.from, gr.to, gr.sum_cap, idx); - } - } -} - -// Note: equal-balanced logic is implemented inline in place_on_dag to avoid -// maintaining a separate assignment routine. This keeps behavior explicit and -// consistent with the documented reference behavior. - -} // namespace - -FlowState::FlowState(const StrictMultiDiGraph& g) : g_(&g) { - residual_.assign(static_cast(g.num_edges()), 0.0); - edge_flow_.assign(static_cast(g.num_edges()), 0.0); - // initialize residual to capacity - auto cap = g.capacity_view(); - for (std::size_t i=0;i residual_init) : g_(&g) { - if (static_cast(g.num_edges()) != residual_init.size()) { - throw std::invalid_argument("FlowState: residual_init length must equal num_edges"); - } - residual_.assign(residual_init.begin(), residual_init.end()); - edge_flow_.assign(static_cast(g.num_edges()), 0.0); -} - -void FlowState::reset() noexcept { - auto cap = g_->capacity_view(); - for (std::size_t i=0;i residual_init) { - if (residual_init.size() != residual_.size()) { - throw std::invalid_argument("FlowState::reset: residual_init length must equal num_edges"); - } - std::copy(residual_init.begin(), residual_init.end(), residual_.begin()); - std::fill(edge_flow_.begin(), edge_flow_.end(), 0.0); -} - -Flow FlowState::place_on_dag(NodeId src, NodeId dst, const PredDAG& dag, - Flow requested_flow, FlowPlacement placement, - std::vector>* trace, - std::vector>* drops) { - NGRAPH_PROFILE_SCOPE("place_on_dag"); - const auto N = g_->num_nodes(); - if (src < 0 || src >= N || dst < 0 || dst >= N || src == dst) return 0.0; - - // The equal-balanced placements model a forwarding table that does not - // react to load: their split set is every DAG edge with capacity, full or not. - const bool fixed_members = (placement != FlowPlacement::Proportional); - - // Build groups using current residual. `gs` is reused across rebuilds so its - // buffers keep their capacity for the whole call. - GroupSet gs; - build_groups_residual(*g_, dag, dst, residual_, fixed_members, gs); - const auto& groups = gs.groups; - - Flow placed = static_cast(0.0); - double remaining = static_cast(requested_flow); - - if (placement == FlowPlacement::Proportional) { - // Proportional placement: use Dinic-like augmentation on reversed DAG. - // We reverse the DAG (dst -> src) so flow propagates topologically from dst. - FlowWorkspace ws; - build_reversed_residual(ws, N, groups); - while (remaining > kMinFlow && ws.bfs(dst, src)) { - std::fill(ws.it.begin(), ws.it.end(), 0); - Flow pushed_layer = static_cast(0.0); - while (true) { - double pushed = ws.dfs(dst, src, remaining); - if (pushed < kMinFlow) break; - pushed_layer += static_cast(pushed); - remaining -= pushed; - if (remaining <= kMinFlow) break; - } - if (pushed_layer < kMinFlow) break; - placed += pushed_layer; - - // Distribute the pushed flow onto the underlying parallel edges. - // For each group, divide the flow proportionally to residual capacity. - // This ensures fair load balancing across parallel edges. - for (std::size_t u = 0; u < ws.adj.size(); ++u) { - for (const auto& e : ws.adj[u]) { - if (e.group < 0) continue; // skip reverse edges - double sent = e.init_cap - e.cap; if (sent < kMinFlow) continue; - const auto& gr = groups[static_cast(e.group)]; - // Guard against division by zero when group capacity is numerically zero. - double denom = gr.sum_cap > kMinCap ? gr.sum_cap : 1.0; - // Proportional split: each edge gets share = sent * (edge_residual / sum_residual). - for (auto eid : gs.edges_of(gr)) { - Cap base = residual_[static_cast(eid)]; - double share = sent * (static_cast(base) / denom); - edge_flow_[static_cast(eid)] += static_cast(share); - residual_[static_cast(eid)] = std::max(static_cast(0.0), static_cast(base - share)); - if (trace) { trace->emplace_back(eid, static_cast(share)); } - } - } - } - // Rebuild groups for next tier using updated residual - build_groups_residual(*g_, dag, dst, residual_, /*members_by_capacity=*/false, gs); - build_reversed_residual(ws, N, groups); - } - } else if (placement == FlowPlacement::EqualBalancedLossy) { - // EqualBalancedLossy: best-effort hash-ECMP forwarding. Every node splits - // what it received equally over its outgoing member edges; each edge carries - // min(share, residual) and drops the rest, so a deficit propagates downstream - // and the placed amount is what arrives at dst. No global scale. - const bool record_drops = (drops != nullptr) && std::isfinite(static_cast(requested_flow)); - - std::vector> succ(static_cast(N)); - for (std::size_t gi = 0; gi < groups.size(); ++gi) { - const auto& gr = groups[gi]; - if (gr.eid_count == 0) continue; - succ[static_cast(gr.to)].push_back(gi); // u -> v (group index) - } - - // Reachability from src over the member graph; nodes outside it never see flow. - std::vector reach(static_cast(N), 0); - { - std::queue q; q.push(src); reach[static_cast(src)] = 1; - while (!q.empty()) { - auto u = q.front(); q.pop(); - for (auto gi : succ[static_cast(u)]) { - auto v = groups[gi].from; - if (!reach[static_cast(v)]) { reach[static_cast(v)] = 1; q.push(v); } - } - } - } - if (!reach[static_cast(dst)]) return static_cast(0.0); - - // Per-node fan-out (number of member edges) for the equal per-edge split. - std::vector node_split(static_cast(N), 0); - std::vector indeg(static_cast(N), 0); - for (std::size_t u = 0; u < succ.size(); ++u) { - if (!reach[u]) continue; - int s = 0; - for (auto gi : succ[u]) { - s += static_cast(groups[gi].eid_count); - auto v = static_cast(groups[gi].from); - if (reach[v]) indeg[v] += 1; - } - node_split[u] = s; - } - - // Kahn's algorithm carrying actual volumes. Nodes are released once every - // parent has forwarded, so inflow[u] is final when u is processed. - std::queue q; - std::vector inflow(static_cast(N), 0.0); - q.push(src); - inflow[static_cast(src)] = static_cast(requested_flow); - while (!q.empty()) { - auto u = q.front(); q.pop(); - const double f_in = inflow[static_cast(u)]; - const int split = node_split[static_cast(u)]; - // Even a node that received nothing must release its children, or a - // reconvergent child stays blocked behind an unreachable parent. - const double per_edge = (split > 0 && f_in >= kEpsilon) ? f_in / static_cast(split) : 0.0; - for (auto gi : succ[static_cast(u)]) { - const auto& gr = groups[gi]; - if (per_edge > 0.0) { - for (auto eid : gs.edges_of(gr)) { - const auto ei = static_cast(eid); - const double res = static_cast(residual_[ei]); - const double carried = std::max(0.0, std::min(per_edge, res)); - if (carried > 0.0) { - edge_flow_[ei] += static_cast(carried); - residual_[ei] = static_cast(std::max(0.0, res - carried)); - inflow[static_cast(gr.from)] += carried; - if (trace) trace->emplace_back(eid, static_cast(carried)); - } - const double dropped = per_edge - carried; - if (record_drops && dropped >= kEpsilon) drops->emplace_back(eid, static_cast(dropped)); - } - } - auto v = static_cast(gr.from); - if (reach[v] && --indeg[v] == 0) q.push(static_cast(v)); - } - } - placed = static_cast(inflow[static_cast(dst)]); - } else { - // EqualBalanced placement: split flow equally across parallel edges, with - // topological accumulation to correctly handle reconvergent DAGs. Every - // group with capacity stays in the split, so a full member drives the - // global scale to 0. - - // Build forward adjacency from parent u to child v for each group and - // compute aggregated reverse capacities per group. - std::vector> succ(static_cast(N)); - std::vector rev_cap(groups.size(), 0.0); - for (std::size_t gi = 0; gi < groups.size(); ++gi) { - const auto& gr = groups[gi]; - if (gr.eid_count == 0) continue; - // EB: group admissible total = min_edge_residual * |edges| - const double cap_rev = static_cast(gr.min_cap) * static_cast(gr.eid_count); - succ[static_cast(gr.to)].push_back(gi); // u -> v (group index) - rev_cap[gi] = cap_rev >= kMinCap ? cap_rev : 0.0; - } - - // Compute reachability from src on this succ graph (to ignore disconnected parts). - std::vector reach(static_cast(N), 0); - if (src >= 0 && src < N) { - std::queue q; q.push(src); reach[static_cast(src)] = 1; - while (!q.empty()) { - auto u = q.front(); q.pop(); - for (auto gi : succ[static_cast(u)]) { - auto v = groups[gi].from; - if (!reach[static_cast(v)]) { reach[static_cast(v)] = 1; q.push(v); } - } - } - } - - // Precompute total outgoing per-edge count per node for equal split. - std::vector node_split(static_cast(N), 0); - for (std::size_t u = 0; u < succ.size(); ++u) { - if (!reach[u]) continue; - int s = 0; - for (auto gi : succ[u]) s += static_cast(groups[gi].eid_count); - node_split[u] = s; - } - - // Topological accumulation: indegree counts over reachable subgraph. - std::vector indeg(static_cast(N), 0); - for (std::size_t u = 0; u < succ.size(); ++u) { - if (!reach[u]) continue; - for (auto gi : succ[u]) { - auto v = static_cast(groups[gi].from); - if (reach[v]) indeg[v] += 1; - } - } - - // Kahn's algorithm over reachable nodes starting from src. - std::queue q; - std::vector inflow(static_cast(N), 0.0); - std::vector assigned(groups.size(), 0.0); - if (src >= 0 && src < N && reach[static_cast(src)]) { - q.push(src); - inflow[static_cast(src)] = 1.0; // unit flow - } - - while (!q.empty()) { - auto u = q.front(); q.pop(); - double f_in = inflow[static_cast(u)]; - if (f_in < kEpsilon) continue; - int split = node_split[static_cast(u)]; - if (split <= 0) continue; - for (auto gi : succ[static_cast(u)]) { - const auto& gr = groups[gi]; - if (gr.eid_count == 0) continue; - // Group share proportional to number of edges (equal per-edge split). - double push = f_in * (static_cast(gr.eid_count) / static_cast(split)); - if (push < kEpsilon) continue; - assigned[gi] += push; - auto v = static_cast(gr.from); - inflow[v] += push; - // Decrement indegree and enqueue child when all parents processed. - if (--indeg[v] == 0) q.push(static_cast(v)); - } - } - - // Early exit if destination is not reachable with capacity. - // With require_capacity=false, SPF includes zero-capacity edges in the DAG, - // but those edges are filtered out during group building. If no path with - // capacity reaches the destination, return 0. - if (inflow[static_cast(dst)] < kEpsilon) { - return static_cast(0.0); - } - - // Single-pass ECMP admission: scale the unit assignment by the smallest - // per-group headroom so that no edge is oversubscribed under *fixed equal - // per-edge splits*. Any further injection with the same splits would violate - // the saturated group(s). - double ratio = std::numeric_limits::infinity(); - for (std::size_t gi = 0; gi < groups.size(); ++gi) { - if (assigned[gi] > 0.0) { - double r = rev_cap[gi] / assigned[gi]; - if (r < ratio) ratio = r; - } - } - if (!std::isfinite(ratio)) ratio = 0.0; - - // Place up to requested amount. - Flow use = static_cast(std::min(ratio, static_cast(remaining))); - if (use >= kMinFlow) { - placed += use; - // Apply scaled group assignments equally over parallel edges. - for (std::size_t gi = 0; gi < groups.size(); ++gi) { - const auto& gr = groups[gi]; if (gr.eid_count == 0) continue; - double flow_scaled = assigned[gi] * static_cast(use); - if (flow_scaled < kMinFlow) continue; - double per_edge = flow_scaled / static_cast(gr.eid_count); - for (auto eid : gs.edges_of(gr)) { - edge_flow_[static_cast(eid)] += static_cast(per_edge); - double base = static_cast(residual_[static_cast(eid)]); - residual_[static_cast(eid)] = static_cast(std::max(0.0, base - per_edge)); - if (trace) trace->emplace_back(eid, static_cast(per_edge)); - } - } - } - } - return placed; -} - -Flow FlowState::place_max_flow(NodeId src, NodeId dst, FlowPlacement placement, - bool shortest_path, bool require_capacity, - std::span node_mask, - std::span edge_mask) { - // require_capacity controls routing behavior: - // - true: Require edges to have capacity, exclude saturated links (SDN/TE, progressive) - // - false: Routes based on costs only, ignore capacity (IP/IGP, fixed routing) - // - // NOTE: With FlowPlacement::EqualBalanced + require_capacity=true, this behaves as a - // progressive "fill". For IP ECMP, use require_capacity=false + shortest_path=true. - - // Validate mask lengths - if (!node_mask.empty() && node_mask.size() != static_cast(g_->num_nodes())) { - throw std::invalid_argument("FlowState::place_max_flow: node_mask length mismatch"); - } - if (!edge_mask.empty() && edge_mask.size() != static_cast(g_->num_edges())) { - throw std::invalid_argument("FlowState::place_max_flow: edge_mask length mismatch"); - } - - Flow total = static_cast(0.0); - // With require_capacity=false the search ignores residuals, so its inputs - // are identical on every pass: compute it once and reuse the result. - std::pair path_result; - bool have_path_result = false; - while (true) { - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = require_capacity; - sel.tie_break = EdgeTieBreak::Deterministic; - if (require_capacity || !have_path_result) { - path_result = shortest_paths_dag(*g_, src, dst, /*multipath=*/true, sel, - require_capacity ? residual_ : std::span{}, - node_mask, edge_mask); - have_path_result = true; - } - const PredDAG& dag = path_result.second; - if (static_cast(dst) >= dag.parent_offsets.size()-1 || dag.parent_offsets[static_cast(dst)] == dag.parent_offsets[static_cast(dst)+1]) { - break; - } - Flow placed = place_on_dag(src, dst, dag, std::numeric_limits::infinity(), placement); - if (placed < kMinFlow) break; - total += placed; - if (shortest_path) break; - } - return total; -} - -MinCut FlowState::compute_min_cut(NodeId src, std::span node_mask, std::span edge_mask) const { - MinCut out; - const auto N = g_->num_nodes(); - - // Early return if source is out of range - if (!(src >= 0 && src < N)) return out; - - // Validate mask lengths - if (!node_mask.empty() && node_mask.size() != static_cast(N)) { - throw std::invalid_argument("FlowState::compute_min_cut: node_mask length mismatch"); - } - if (!edge_mask.empty() && edge_mask.size() != static_cast(g_->num_edges())) { - throw std::invalid_argument("FlowState::compute_min_cut: edge_mask length mismatch"); - } - - const auto row = g_->row_offsets_view(); - const auto col = g_->col_indices_view(); - const auto aei = g_->adj_edge_index_view(); - const auto in_row = g_->in_row_offsets_view(); - const auto in_col = g_->in_col_indices_view(); - const auto in_aei = g_->in_adj_edge_index_view(); - const bool use_node_mask = !node_mask.empty(); - const bool use_edge_mask = !edge_mask.empty(); - - // Early return if source is masked out - if (use_node_mask && !node_mask[static_cast(src)]) return out; - - std::vector visited(static_cast(N), 0); - std::queue q; - visited[static_cast(src)] = 1; - q.push(src); - while (!q.empty()) { - auto u = q.front(); q.pop(); - if (use_node_mask && !node_mask[static_cast(u)]) continue; - // Forward residual arcs - auto start = static_cast(row[static_cast(u)]); - auto end = static_cast(row[static_cast(u)+1]); - for (std::size_t j = start; j < end; ++j) { - auto v = static_cast(col[j]); - auto eid = static_cast(aei[j]); - if (use_edge_mask && !edge_mask[eid]) continue; - if (use_node_mask && !node_mask[static_cast(v)]) continue; - if (residual_[eid] > kMinCap && !visited[static_cast(v)]) { - visited[static_cast(v)] = 1; - q.push(v); - } - } - // Reverse residual arcs - auto rs = static_cast(in_row[static_cast(u)]); - auto re = static_cast(in_row[static_cast(u)+1]); - for (std::size_t j = rs; j < re; ++j) { - auto w = static_cast(in_col[j]); - auto eid = static_cast(in_aei[j]); - if (use_edge_mask && !edge_mask[eid]) continue; - if (use_node_mask && !node_mask[static_cast(w)]) continue; - // Reverse arcs exist where THIS state has placed cancellable flow. Using - // edge_flow_ (not capacity - residual) keeps the traversal correct when - // the state was constructed with a custom residual_init, where - // capacity - residual also counts pre-existing usage this state never - // placed and cannot cancel. - if (edge_flow_[eid] > kMinFlow && !visited[static_cast(w)]) { - visited[static_cast(w)] = 1; - q.push(w); - } - } - } - // Collect cut edges - for (std::int32_t u = 0; u < N; ++u) { - if (!visited[static_cast(u)]) continue; - if (use_node_mask && !node_mask[static_cast(u)]) continue; - auto s3 = static_cast(row[static_cast(u)]); - auto e3 = static_cast(row[static_cast(u)+1]); - for (std::size_t j = s3; j < e3; ++j) { - auto v = static_cast(col[j]); - if (use_node_mask && !node_mask[static_cast(v)]) continue; - if (visited[static_cast(v)]) continue; - auto eid = static_cast(aei[j]); - if (use_edge_mask && !edge_mask[eid]) continue; - if (residual_[eid] <= kMinCap) { - out.edges.push_back(static_cast(eid)); - } - } - } - return out; -} - -void FlowState::apply_deltas(std::span> deltas, bool add) noexcept { - const auto cap = g_->capacity_view(); - for (const auto& pr : deltas) { - std::size_t eid = static_cast(pr.first); - double df = static_cast(pr.second); - if (df <= 0.0) continue; - if (eid >= residual_.size()) continue; - // base_res is not needed; use base_flow and cap directly - double base_flow = edge_flow_[eid]; - if (add) { - edge_flow_[eid] = static_cast(base_flow + df); - double new_res = std::max(0.0, static_cast(cap[eid]) - edge_flow_[eid]); - residual_[eid] = static_cast(new_res); - } else { - // Clamp flow into [0, cap] and set residual accordingly. - double unclamped = base_flow - df; - double clamped = std::min(static_cast(cap[eid]), std::max(0.0, unclamped)); - edge_flow_[eid] = static_cast(clamped); - residual_[eid] = static_cast(std::max(0.0, static_cast(cap[eid]) - clamped)); - } - } -} - -} // namespace netgraph::core diff --git a/src/k_shortest_paths.cpp b/src/k_shortest_paths.cpp deleted file mode 100644 index 8146a03..0000000 --- a/src/k_shortest_paths.cpp +++ /dev/null @@ -1,349 +0,0 @@ -/* - k_shortest_paths — Yen-like enumeration with deterministic tie-breaking. - - Returns SPF-compatible outputs for each path: full distance array and a - PredDAG that encodes a single concrete path as single-parent predecessors. -*/ -#include "netgraph/core/k_shortest_paths.hpp" - -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include - -// Use multipath SPF DAG for spur enumeration -#include "netgraph/core/shortest_paths.hpp" - -namespace netgraph::core { - -namespace { -struct Path { - std::vector nodes; - std::vector edges; - Cost cost{0}; -}; -struct Candidate { - Cost cost; - std::vector nodes; - std::vector edges; - bool operator>(const Candidate& o) const { return cost > o.cost; } -}; - -struct VectorHash { size_t operator()(const std::vector& v) const noexcept { - size_t h = 1469598103934665603ull; - for (auto x : v) { h ^= static_cast(x + 0x9e3779b97f4a7c15ull); h *= 1099511628211ull; } - return h; -}}; -using PathSet = std::unordered_set, VectorHash>; - - -static std::optional dijkstra_single(const StrictMultiDiGraph& g, NodeId s, NodeId t, - const std::vector* node_mask, - const std::vector* edge_mask) { - const auto row = g.row_offsets_view(); - const auto col = g.col_indices_view(); - const auto aei = g.adj_edge_index_view(); - const auto cost = g.cost_view(); - const int N = g.num_nodes(); - if (s < 0 || t < 0 || s >= N || t >= N) return std::nullopt; - auto ok_node = [&](std::int32_t v){ return (!node_mask) || (*node_mask)[static_cast(v)] != 0; }; - auto ok_edge = [&](std::size_t e){ return (!edge_mask) || (*edge_mask)[e] != 0; }; - if (!ok_node(s) || !ok_node(t)) return std::nullopt; - std::vector dist(static_cast(N), std::numeric_limits::max()); - std::vector parent(static_cast(N), -1); - std::vector via(static_cast(N), -1); - using QItem = std::pair; - auto cmp = [](const QItem& a, const QItem& b){ return a.first > b.first; }; - std::priority_queue, decltype(cmp)> pq(cmp); - dist[static_cast(s)] = static_cast(0); - pq.emplace(static_cast(0), s); - while (!pq.empty()) { - auto [d_u, u] = pq.top(); pq.pop(); - if (d_u > dist[static_cast(u)]) continue; - if (u == t) break; - auto start = static_cast(row[static_cast(u)]); - auto end = static_cast(row[static_cast(u)+1]); - std::size_t i = start; - while (i < end) { - std::int32_t v = col[i]; - // Skip neighbor group if node masked - if (!ok_node(v)) { std::size_t j=i; while (jv (min cost; tie-breaker: smallest edge id) - Cost min_edge_cost = std::numeric_limits::max(); - std::int32_t best_eid = -1; - std::size_t j = i; - for (; j < end && col[j] == v; ++j) { - auto eidx = static_cast(aei[j]); - if (!ok_edge(eidx)) continue; - Cost ec = static_cast(cost[eidx]); - if (ec < min_edge_cost || (ec == min_edge_cost && static_cast(eidx) < best_eid)) { - min_edge_cost = ec; best_eid = static_cast(eidx); - } - } - if (best_eid >= 0) { - Cost nd = static_cast(d_u + min_edge_cost); - auto vi = static_cast(v); - if (nd < dist[vi]) { dist[vi] = nd; parent[vi] = u; via[vi] = best_eid; pq.emplace(nd, v); } - } - i = j; - } - } - if (dist[static_cast(t)] == std::numeric_limits::max()) return std::nullopt; - // Reconstruct - std::vector nodes_rev; - std::vector edges_rev; - for (std::int32_t v = t; v != s; v = parent[static_cast(v)]) { - if (v < 0) return std::nullopt; - nodes_rev.push_back(v); - edges_rev.push_back(via[static_cast(v)]); - } - Path p; - p.nodes.reserve(nodes_rev.size() + 1); - p.nodes.push_back(s); - for (auto it = nodes_rev.rbegin(); it != nodes_rev.rend(); ++it) p.nodes.push_back(*it); - p.edges.reserve(edges_rev.size()); - for (auto it = edges_rev.rbegin(); it != edges_rev.rend(); ++it) p.edges.push_back(*it); - p.cost = dist[static_cast(t)]; - return p; -} - -// Enumerate shortest spur paths from spur->t using the PredDAG produced by -// shortest_paths(spur, ..., multipath=true), in deterministic DFS order. -// All spur paths in the DAG share the same (shortest) cost, and at most -// max_count candidates can ever be accepted downstream, so enumeration stops -// after emitting max_count paths. Without the bound this walk materializes -// every equal-cost path — exponential in ECMP fan-out (2^k paths on a k-stage -// ladder). When dedup is supplied (unique mode), paths whose full edge -// sequence (prefix + spur segment) was already visited are skipped without -// consuming the bound, so the cap cannot starve fresh candidates. -static void dfs_spur_paths(NodeId spur, NodeId v, - const std::vector& off, - const std::vector& parents, - const std::vector& via, - std::vector& nodes_rev, - std::vector& edges_rev, - std::vector>& out_nodes, - std::vector>& out_edges, - std::size_t max_count, - const std::vector* prefix_edges, - const PathSet* dedup) { - if (out_nodes.size() >= max_count) return; - if (v == spur) { - // build forward - std::vector n; n.reserve(nodes_rev.size() + 1); - n.push_back(spur); - for (auto it = nodes_rev.rbegin(); it != nodes_rev.rend(); ++it) n.push_back(*it); - std::vector e; e.reserve(edges_rev.size()); - for (auto it = edges_rev.rbegin(); it != edges_rev.rend(); ++it) e.push_back(*it); - if (dedup != nullptr) { - std::vector full; - full.reserve(prefix_edges->size() + e.size()); - full.insert(full.end(), prefix_edges->begin(), prefix_edges->end()); - full.insert(full.end(), e.begin(), e.end()); - if (dedup->find(full) != dedup->end()) return; // already visited; free the slot - } - out_nodes.push_back(std::move(n)); - out_edges.push_back(std::move(e)); - return; - } - auto s = off[static_cast(v)]; - auto e = off[static_cast(v) + 1]; - for (std::int32_t i = s; i < e; ++i) { - if (out_nodes.size() >= max_count) return; - auto u = parents[static_cast(i)]; - auto eid = via[static_cast(i)]; - edges_rev.push_back(static_cast(eid)); - nodes_rev.push_back(v); - dfs_spur_paths(spur, u, off, parents, via, nodes_rev, edges_rev, out_nodes, out_edges, - max_count, prefix_edges, dedup); - nodes_rev.pop_back(); - edges_rev.pop_back(); - } -} - -} // namespace - -std::vector, PredDAG>> k_shortest_paths( - const StrictMultiDiGraph& g, NodeId src, NodeId dst, - int k, std::optional max_cost_factor, - bool unique, - std::span node_mask, - std::span edge_mask) { - std::vector paths; - if (k <= 0) return {}; - if (src < 0 || dst < 0 || src >= g.num_nodes() || dst >= g.num_nodes()) return {}; - - if (!node_mask.empty() && node_mask.size() != static_cast(g.num_nodes())) { - throw std::invalid_argument("k_shortest_paths: node_mask length mismatch"); - } - if (!edge_mask.empty() && edge_mask.size() != static_cast(g.num_edges())) { - throw std::invalid_argument("k_shortest_paths: edge_mask length mismatch"); - } - - // Base shortest path - std::vector node_mask_vec; - std::vector edge_mask_vec; - const std::vector* nm_ptr = nullptr; - const std::vector* em_ptr = nullptr; - if (node_mask.size() == static_cast(g.num_nodes())) { - node_mask_vec.assign(static_cast(g.num_nodes()), static_cast(1)); - for (std::size_t i=0;i(g.num_edges())) { - edge_mask_vec.assign(static_cast(g.num_edges()), static_cast(1)); - for (std::size_t i=0;i(p0->cost); - double max_cost = std::numeric_limits::infinity(); - if (max_cost_factor && *max_cost_factor > 0.0) { - max_cost = best_cost * (*max_cost_factor); - } - if (p0->cost <= max_cost) paths.push_back(*p0); - // A max_cost_factor below 1.0 puts the ceiling under the shortest path itself, so - // nothing was admitted. Return now: the k > 1 loop below opens with paths.back(), - // which is undefined behaviour on an empty vector. (The k == 1 branch would have - // masked this, so the guard must sit ahead of it.) - if (paths.empty()) return {}; - if (k == 1) { - // Convert and return - std::vector, PredDAG>> items; - items.reserve(paths.size()); - for (auto const& P : paths) { - items.push_back(path_to_pred_dag(g, P.nodes, P.edges)); - } - return items; - } - - // Candidate heap across spur deviations - auto cost_view = g.cost_view(); - std::priority_queue, std::greater> B; - auto path_signature = [&](const std::vector& edges){ return edges; }; - PathSet visited; - visited.insert(path_signature(p0->edges)); - - for (int i = 1; i < k; ++i) { - const Path& last = paths.back(); - // Precompute prefix cumulative costs along last path to avoid re-summing - std::vector prefix_cost; - prefix_cost.assign(last.nodes.size(), 0); - for (std::size_t idx = 1; idx < last.nodes.size(); ++idx) { - // edge at idx-1 - auto e = last.edges[idx - 1]; - prefix_cost[idx] = prefix_cost[idx - 1] + static_cast(cost_view[static_cast(e)]); - } - // Spur node positions 0..len-2 - for (std::size_t j = 0; j + 1 < last.nodes.size(); ++j) { - std::int32_t spur_node = last.nodes[j]; - // Build masks: exclude prefix nodes [0..j-1] - std::vector node_mask_local; - node_mask_local.assign(static_cast(g.num_nodes()), static_cast(1)); - for (std::size_t r = 0; r < j; ++r) node_mask_local[static_cast(last.nodes[r])] = 0; - if (nm_ptr) { - for (std::size_t idx=0; idx edge_mask_local; - edge_mask_local.assign(static_cast(g.num_edges()), static_cast(1)); - for (auto const& P : paths) { - if (P.nodes.size() > j && std::equal(P.nodes.begin(), P.nodes.begin() + static_cast(j + 1), last.nodes.begin())) { - // Exclude edge at position j for this path - if (P.edges.size() > j) { - edge_mask_local[static_cast(P.edges[j])] = 0; - } - } - } - if (em_ptr) { - for (std::size_t idx=0; idx t - std::unique_ptr nm_buf2; - std::unique_ptr em_buf2; - std::span nm, em; - if (!node_mask_local.empty()) { - nm_buf2 = std::unique_ptr(new bool[static_cast(g.num_nodes())]); - for (std::size_t idx = 0; idx < static_cast(g.num_nodes()); ++idx) nm_buf2[idx] = (node_mask_local[idx] != 0); - nm = std::span(nm_buf2.get(), static_cast(g.num_nodes())); - } - if (!edge_mask_local.empty()) { - em_buf2 = std::unique_ptr(new bool[static_cast(g.num_edges())]); - for (std::size_t idx = 0; idx < static_cast(g.num_edges()); ++idx) em_buf2[idx] = (edge_mask_local[idx] != 0); - em = std::span(em_buf2.get(), static_cast(g.num_edges())); - } - EdgeSelection sel; sel.multi_edge = true; sel.require_capacity = false; sel.tie_break = EdgeTieBreak::Deterministic; - auto [spur_cost, dag_spur] = shortest_paths_dag(g, spur_node, dst, /*multipath=*/true, sel, std::span(), nm, em); - // If no spur parents for t, skip - if (static_cast(dst + 1) >= dag_spur.parent_offsets.size() || - dag_spur.parent_offsets[static_cast(dst)] == dag_spur.parent_offsets[static_cast(dst + 1)]) { - continue; - } - // Every spur path in the DAG costs spur_cost; skip the whole family if - // the resulting candidates would exceed the cost ceiling. - if (static_cast(prefix_cost[j]) + static_cast(spur_cost) > max_cost) { - continue; - } - // At most (k - accepted) further paths can ever be accepted, so that many - // fresh candidates from this spur family suffice. - const std::size_t want = static_cast(k) - paths.size(); - std::vector prefix_edges(last.edges.begin(), - last.edges.begin() + static_cast(j)); - std::vector nodes_rev; - std::vector edges_rev; - std::vector> spur_nodes_list; - std::vector> spur_edges_list; - dfs_spur_paths(spur_node, dst, dag_spur.parent_offsets, dag_spur.parents, dag_spur.via_edges, - nodes_rev, edges_rev, spur_nodes_list, spur_edges_list, - want, &prefix_edges, unique ? &visited : nullptr); - for (std::size_t si = 0; si < spur_nodes_list.size(); ++si) { - const auto& spur_nodes = spur_nodes_list[si]; - const auto& spur_edges = spur_edges_list[si]; - std::vector cand_nodes; - std::vector cand_edges; - cand_nodes.reserve(j + spur_nodes.size()); - cand_edges.reserve(j + spur_edges.size()); - for (std::size_t r = 0; r < j; ++r) cand_nodes.push_back(last.nodes[r]); - for (auto n : spur_nodes) cand_nodes.push_back(n); - for (std::size_t r = 0; r < j; ++r) cand_edges.push_back(last.edges[r]); - for (auto e : spur_edges) cand_edges.push_back(e); - // Compute candidate cost as prefix_cost[j] + sum(spur_edges) - Cost cand_cost = prefix_cost[j]; - for (auto e : spur_edges) cand_cost += static_cast(cost_view[static_cast(e)]); - if (cand_cost > max_cost) continue; - auto sig = path_signature(cand_edges); - if (unique && visited.find(sig) != visited.end()) continue; - visited.insert(sig); - B.push(Candidate{cand_cost, std::move(cand_nodes), std::move(cand_edges)}); - } - } - // Pick next best candidate not exceeding threshold - if (B.empty()) break; - bool accepted = false; - while (!B.empty()) { - auto c = B.top(); B.pop(); - if (c.cost <= max_cost) { - paths.push_back(Path{std::move(c.nodes), std::move(c.edges), c.cost}); - accepted = true; - break; - } - } - if (!accepted) break; - } - // Convert to SPF-compatible outputs - std::vector, PredDAG>> items; - items.reserve(paths.size()); - for (auto const& P : paths) { - items.push_back(path_to_pred_dag(g, P.nodes, P.edges)); - } - return items; -} - -} // namespace netgraph::core diff --git a/src/max_flow.cpp b/src/max_flow.cpp index 10eef37..13913d5 100644 --- a/src/max_flow.cpp +++ b/src/max_flow.cpp @@ -1,488 +1,465 @@ /* - calc_max_flow — incremental max-flow via repeated SPF tiers over residuals. - - Uses FlowState to track residuals and place flow along SPF predecessor DAGs. - Accumulates total flow, optional per-edge flows, cost distribution, and - derives a min-cut from the final residual graph. - - Algorithm: Iterative augmentation using Successive Shortest Path on residual graphs, - pushing flow across full ECMP/WCMP DAGs at each step. + The one integer minimum-cost flow core (APPROACH 2.2). + + One objective on every view: minimum cost for the maximum value attainable under the value + cap. Successive shortest paths with potentials and blocking flows. Each tier runs Dijkstra on + reduced costs cost(e) + pi(u) - pi(v) to completion over the residual network reachable from + the virtual source s* (through the virtual sink t* and onward), adds the distances to the + potentials of the vertices it settled, then drains the zero-reduced-cost admissible subgraph + by Dinic phases (BFS levels, DFS with current-arc pointers) until no admissible augmenting + path remains or the cap is reached; then the next tier. Positive original costs do not + exclude zero-reduced-cost residual cycles, hence the repeated phases. The solve ends when a + Dijkstra does not reach t* or the cap is reached; there is no completion phase. + + Arc identity: every eligible edge is its own arc pair (forward with the view capacity, + reverse with the flow). At a node the forward arcs of its out-edges and the reverse arcs of + its in-edges are visited in one sequence by ascending EdgeId (a self-loop's forward arc before + its reverse arc); at a real endpoint its virtual arc comes first; s* visits its arcs by + ascending source NodeId and t* by ascending destination NodeId. Virtual arcs cost 0 and carry + 2^63 - 2 units, above every attainable value. Every solve starts from zero flow, so the zero + potentials are valid (all costs are positive). + + Dijkstra's queue is a radix heap: keys pop in increasing order and entries with equal keys pop + in a fixed order (last pushed first within the lowest bucket), so the settle order, and with it + every counter, is a function of the input alone. Equal-key order affects only the counters, + never a distance, a potential or an augmenting path. The solve runs to the cap or to + disconnection; there is no clamp of the cap (APPROACH 2.2, revision 25). + + Arithmetic stays in int64: every true residual distance is the cost of a simple residual path, + below the cost sum bound 2^62; potentials are such distances; a path's bottleneck contains a + real arc (sources and destinations are disjoint), so every amount is below 2^62. */ #include "netgraph/core/max_flow.hpp" -#include "netgraph/core/shortest_paths.hpp" -#include "netgraph/core/flow_state.hpp" -#include "netgraph/core/constants.hpp" #include -#include -#include -#include -#include -#include +#include +#include #include -#include -#include -#include -#include -#include -#include +#include +#include namespace netgraph::core { namespace { -std::size_t thread_budget_from_env(const char* env_name, std::size_t candidate_count) { - if (candidate_count <= 1) { - return 1; - } +constexpr Cost kInfDist = std::numeric_limits::max(); +constexpr Amount kUncapped = std::numeric_limits::max(); - const char* env = std::getenv(env_name); - if (env != nullptr && env[0] != '\0') { - char* end = nullptr; - unsigned long parsed = std::strtoul(env, &end, 10); - if (end != env) { - if (parsed == 0ul) { - return 1; - } - return std::min(static_cast(parsed), candidate_count); - } +// Sorted, duplicate-free endpoint set; throws on an empty set or an id out of range. +std::vector endpoint_set(std::span nodes, std::int32_t n, const char* name) { + if (nodes.empty()) { + throw std::invalid_argument(std::string(name) + ": the endpoint set is empty"); } - - const auto hw = std::thread::hardware_concurrency(); - const auto budget = hw > 0 ? static_cast(hw) : 1u; - return std::min(budget, candidate_count); -} - -std::optional> -evaluate_sensitivity_candidate(const StrictMultiDiGraph& g, - NodeId src, - NodeId dst, - FlowPlacement placement, - bool shortest_path, - bool require_capacity, - Flow baseline_flow, - std::span node_mask, - EdgeId eid, - bool* local_mask, - std::size_t mask_size) { - local_mask[static_cast(eid)] = false; - - auto [new_flow, _] = calc_max_flow( - g, src, dst, placement, - shortest_path, - require_capacity, - /*with_edge_flows=*/false, - /*with_reachable=*/false, - /*with_residuals=*/false, - node_mask, std::span(local_mask, mask_size)); - - local_mask[static_cast(eid)] = true; - - double delta = baseline_flow - new_flow; - if (delta > kMinFlow) { - return std::pair{eid, delta}; + std::vector out(nodes.begin(), nodes.end()); + for (NodeId v : out) { + if (v < 0 || v >= n) { + throw std::invalid_argument(std::string(name) + ": node " + std::to_string(v) + + " out of node range [0, " + std::to_string(n) + ")"); + } } - return std::nullopt; + std::sort(out.begin(), out.end()); + out.erase(std::unique(out.begin(), out.end()), out.end()); + return out; } -} // namespace - -std::pair -calc_max_flow(const StrictMultiDiGraph& g, NodeId src, NodeId dst, - FlowPlacement placement, bool shortest_path, - bool require_capacity, - bool with_edge_flows, - bool with_reachable, - bool with_residuals, - std::span node_mask, std::span edge_mask) { - FlowSummary summary; - const auto N = g.num_nodes(); - if (src < 0 || src >= N || dst < 0 || dst >= N || src == dst) { - return {0.0, std::move(summary)}; +// Monotone priority queue for Dijkstra on non-negative integer keys (a radix heap): a key goes +// to the bucket of the highest bit in which it differs from the last popped key, and a pop +// redistributes the first non-empty bucket below its minimum. Entries are (key, vertex); equal +// keys pop in a fixed order, so every run is a function of its input. +class RadixHeap { +public: + void clear() { + for (auto& b : buckets_) b.clear(); + last_ = 0; + size_ = 0; } - if (!node_mask.empty() && node_mask.size() != static_cast(g.num_nodes())) { - throw std::invalid_argument("calc_max_flow: node_mask length mismatch"); + [[nodiscard]] bool empty() const noexcept { return size_ == 0; } + void push(Cost key, std::int32_t v) { + buckets_[bucket(key)].emplace_back(key, v); + ++size_; } - if (!edge_mask.empty() && edge_mask.size() != static_cast(g.num_edges())) { - throw std::invalid_argument("calc_max_flow: edge_mask length mismatch"); - } - const bool use_node_mask = !node_mask.empty(); - const bool use_edge_mask = !edge_mask.empty(); - if ((use_node_mask && !node_mask[static_cast(src)]) || - (use_node_mask && !node_mask[static_cast(dst)])) { - return {0.0, std::move(summary)}; + std::pair pop() { + if (buckets_[0].empty()) { + std::size_t i = 1; + while (buckets_[i].empty()) ++i; + auto& from = buckets_[i]; + Cost lowest = from.front().first; + for (const auto& entry : from) lowest = std::min(lowest, entry.first); + last_ = lowest; + for (const auto& entry : from) buckets_[bucket(entry.first)].push_back(entry); + from.clear(); + } + const auto top = buckets_[0].back(); + buckets_[0].pop_back(); + --size_; + return top; } - // Use FlowState for residual tracking and per-edge placement - FlowState fs(g); - Flow total = static_cast(0.0); - std::vector> cost_dist; // (cost, flow) - // Iterate tiers: SPF over current residual or costs only - // require_capacity=true: Require edges to have capacity, exclude saturated links (SDN/TE behavior) - // require_capacity=false: Routes based on costs only, ignore capacity (IP/IGP behavior) - // With require_capacity=false the search ignores residuals, so its inputs - // are identical on every tier: compute it once and reuse the result. - std::pair path_result; - bool have_path_result = false; - while (true) { - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = require_capacity; - sel.tie_break = EdgeTieBreak::Deterministic; - if (require_capacity || !have_path_result) { - path_result = shortest_paths_dag( - g, src, dst, - /*multipath=*/true, - sel, - require_capacity ? fs.residual_view() : std::span{}, - use_node_mask ? node_mask : std::span{}, - use_edge_mask ? edge_mask : std::span{}); - have_path_result = true; +private: + [[nodiscard]] std::size_t bucket(Cost key) const noexcept { + return static_cast( + std::bit_width(static_cast(key) ^ static_cast(last_))); + } + std::array>, 65> buckets_ {}; + Cost last_ {0}; + std::size_t size_ {0}; +}; + +// The residual network of one solve: real vertices 0..N-1, s* = N, t* = N + 1. Arcs are stored +// as slots in adjacency order (the slots of u are [off_[u], off_[u + 1])), each with its head, +// its cost, its residual and the slot of its partner arc. +class Solver { +public: + Solver(const StrictMultiDiGraph& g, std::span view, const std::vector& srcs, + const std::vector& dsts, const Eligibility* elig) + : g_(g), n_(g.num_nodes() + 2), s_(g.num_nodes()), t_(g.num_nodes() + 1) { + const auto num_edges = static_cast(g.num_edges()); + const auto edge_src = g.edge_src(); + const auto edge_dst = g.edge_dst(); + const auto cost = g.cost(); + active_.reserve(num_edges); + for (std::size_t e = 0; e < num_edges; ++e) { + if (elig == nullptr || elig->edge_ok(static_cast(e))) active_.push_back(static_cast(e)); } - const PredDAG& dag = path_result.second; - - // No path if t has no parents in DAG - if (static_cast(dst) >= dag.parent_offsets.size() - 1 || - dag.parent_offsets[static_cast(dst)] == dag.parent_offsets[static_cast(dst) + 1]) { - break; + for (NodeId s : srcs) { + if (elig == nullptr || elig->node_ok(s)) srcs_.push_back(s); } - - Cost path_cost = path_result.first; - Flow placed = fs.place_on_dag(src, dst, dag, std::numeric_limits::infinity(), placement); - - if (placed < kMinFlow) break; - total += placed; - // Merge by exact cost (integer) - bool merged = false; - for (auto& pr : cost_dist) { if (pr.first == path_cost) { pr.second += placed; merged = true; break; } } - if (!merged) cost_dist.emplace_back(path_cost, placed); - if (shortest_path) break; + for (NodeId d : dsts) { + if (elig == nullptr || elig->node_ok(d)) dsts_.push_back(d); + } + const auto n = static_cast(n_); + off_.assign(n + 1, 0); + auto deg = [&](std::int32_t v) { ++off_[static_cast(v) + 1]; }; + for (EdgeId e : active_) { + deg(edge_src[static_cast(e)]); + deg(edge_dst[static_cast(e)]); + } + for (NodeId s : srcs_) { deg(s); deg(s_); } + for (NodeId d : dsts_) { deg(d); deg(t_); } + for (std::size_t v = 0; v < n; ++v) off_[v + 1] += off_[v]; + const auto num_slots = static_cast(off_[n]); + head_.resize(num_slots); + rev_.resize(num_slots); + cost_.resize(num_slots); + res_.resize(num_slots); + std::vector pos(off_.begin(), off_.end() - 1); + auto take = [&](std::int32_t v) { return pos[static_cast(v)]++; }; + auto link = [&](std::int32_t a, std::int32_t to_a, Amount cap, Cost w, std::int32_t b, std::int32_t to_b) { + const auto ai = static_cast(a); + const auto bi = static_cast(b); + head_[ai] = to_a; + rev_[ai] = b; + cost_[ai] = w; + res_[ai] = cap; + head_[bi] = to_b; + rev_[bi] = a; + cost_[bi] = -w; + res_[bi] = 0; + }; + // Virtual arcs first at the real endpoints, then the real arcs by ascending EdgeId (forward + // slot at the tail, reverse slot at the head), then the slots of s* and t*. + std::vector src_rev(srcs_.size()), dst_fwd(dsts_.size()); + for (std::size_t i = 0; i < srcs_.size(); ++i) src_rev[i] = take(srcs_[i]); + for (std::size_t i = 0; i < dsts_.size(); ++i) dst_fwd[i] = take(dsts_[i]); + edge_slot_.resize(active_.size()); + for (std::size_t k = 0; k < active_.size(); ++k) { + const auto ei = static_cast(active_[k]); + const NodeId u = edge_src[ei]; + const NodeId v = edge_dst[ei]; + const std::int32_t fwd = take(u); + const std::int32_t bwd = take(v); + link(fwd, v, view[ei], cost[ei], bwd, u); + edge_slot_[k] = fwd; + } + for (std::size_t i = 0; i < srcs_.size(); ++i) link(take(s_), srcs_[i], kMaxFlowCap, 0, src_rev[i], s_); + for (std::size_t i = 0; i < dsts_.size(); ++i) link(dst_fwd[i], t_, kMaxFlowCap, 0, take(t_), dsts_[i]); + pi_.assign(n, 0); + ever_.assign(n, 0); + dist_.resize(n); + level_.resize(n); + reach_.assign(n, 0); + cur_.resize(n); } - // Completion phase. The tier loop above augments only along forward SPF DAGs - // and can never cancel an earlier placement, so it may terminate below the - // true maximum (its own min-cut then contradicts total_flow). Finish with - // BFS augmentation on the full residual graph, where traversing an edge - // backwards returns previously placed flow. Only meaningful for Proportional - // max-flow semantics: EqualBalanced models ECMP admission and - // require_capacity=false models fixed-cost IP routing, both of which are - // placement models rather than max-flow computations. - if (placement == FlowPlacement::Proportional && !shortest_path && require_capacity) { - const auto row = g.row_offsets_view(); - const auto col = g.col_indices_view(); - const auto aei = g.adj_edge_index_view(); - const auto irow = g.in_row_offsets_view(); - const auto icol = g.in_col_indices_view(); - const auto iaei = g.in_adj_edge_index_view(); - const auto costv = g.cost_view(); - const auto residual = fs.residual_view(); - const auto eflow = fs.edge_flow_view(); - std::vector prev_node(static_cast(N)); - std::vector prev_edge(static_cast(N)); - std::vector prev_fwd(static_cast(N)); - std::vector seen(static_cast(N)); - std::vector> fwd_deltas, rev_deltas; - while (true) { - std::fill(seen.begin(), seen.end(), 0); - std::queue bfs; - seen[static_cast(src)] = 1; - bfs.push(src); - bool found = false; - while (!bfs.empty() && !found) { - auto u = bfs.front(); bfs.pop(); - auto us = static_cast(u); - // Forward residual arcs u -> v. - for (auto j = static_cast(row[us]); j < static_cast(row[us + 1]); ++j) { - auto v = static_cast(col[j]); - auto eid = static_cast(aei[j]); - if (use_edge_mask && !edge_mask[eid]) continue; - if (use_node_mask && !node_mask[v]) continue; - if (seen[v] || residual[eid] <= kMinCap) continue; - seen[v] = 1; prev_node[v] = u; prev_edge[v] = static_cast(eid); prev_fwd[v] = 1; - if (static_cast(v) == dst) { found = true; break; } - bfs.push(static_cast(v)); - } - if (found) break; - // Reverse residual arcs u -> w along edges w -> u carrying flow. - for (auto j = static_cast(irow[us]); j < static_cast(irow[us + 1]); ++j) { - auto w = static_cast(icol[j]); - auto eid = static_cast(iaei[j]); - if (use_edge_mask && !edge_mask[eid]) continue; - if (use_node_mask && !node_mask[w]) continue; - if (seen[w] || eflow[eid] <= kMinFlow) continue; - seen[w] = 1; prev_node[w] = u; prev_edge[w] = static_cast(eid); prev_fwd[w] = 0; - if (static_cast(w) == dst) { found = true; break; } - bfs.push(static_cast(w)); - } - } - if (!found) break; - // Bottleneck and marginal path cost (forward costs minus cancelled costs). - double bottleneck = std::numeric_limits::infinity(); - Cost path_cost = 0; - for (auto v = dst; v != src; v = prev_node[static_cast(v)]) { - auto vs = static_cast(v); - auto eid = static_cast(prev_edge[vs]); - if (prev_fwd[vs]) { - bottleneck = std::min(bottleneck, static_cast(residual[eid])); - path_cost += costv[eid]; - } else { - bottleneck = std::min(bottleneck, static_cast(eflow[eid])); - path_cost -= costv[eid]; + FlowCoreResult run(std::span view, Amount limit) { + FlowCoreResult out; + auto& c = out.counters; + Amount total = 0; + while (total < limit) { + if (!dijkstra(c)) break; + const Cost tier_cost = pi_[static_cast(t_)] - pi_[static_cast(s_)]; + const Amount before = total; + while (total < limit) { + if (!build_levels(c)) break; + std::copy(off_.begin(), off_.end() - 1, cur_.begin()); + while (total < limit) { + if (!find_path(c)) break; + Amount amount = limit - total; + for (std::int32_t a : path_) amount = std::min(amount, res_[static_cast(a)]); + for (std::int32_t a : path_) { + res_[static_cast(a)] -= amount; + res_[static_cast(rev_[static_cast(a)])] += amount; + } + total += amount; + ++c.augmentations; } } - if (!(bottleneck >= kMinFlow)) break; - fwd_deltas.clear(); rev_deltas.clear(); - for (auto v = dst; v != src; v = prev_node[static_cast(v)]) { - auto vs = static_cast(v); - if (prev_fwd[vs]) fwd_deltas.emplace_back(prev_edge[vs], static_cast(bottleneck)); - else rev_deltas.emplace_back(prev_edge[vs], static_cast(bottleneck)); + // A successful Dijkstra reaches t* over arcs with positive residual and zero reduced cost + // along its shortest paths, so the drain moves at least one unit. + if (total == before) { + throw std::logic_error("flow core: a successful Dijkstra drained nothing"); } - fs.apply_deltas(fwd_deltas, /*add=*/true); - fs.apply_deltas(rev_deltas, /*add=*/false); - total += static_cast(bottleneck); - bool merged2 = false; - for (auto& pr : cost_dist) { if (pr.first == path_cost) { pr.second += bottleneck; merged2 = true; break; } } - if (!merged2) cost_dist.emplace_back(path_cost, static_cast(bottleneck)); + out.cost_distribution.emplace_back(tier_cost, total - before); } - } + out.placed = total; - summary.total_flow = total; - if (with_edge_flows) { - auto ef = fs.edge_flow_view(); - summary.edge_flows.assign(ef.begin(), ef.end()); - } - if (with_residuals) { - auto res = fs.residual_view(); - summary.residual_capacity.resize(static_cast(g.num_edges())); - for (std::size_t i = 0; i < summary.residual_capacity.size(); ++i) { - summary.residual_capacity[i] = static_cast(res[i]); + const auto num_edges = static_cast(g_.num_edges()); + out.edge_flows.assign(num_edges, 0); + for (std::size_t k = 0; k < active_.size(); ++k) { + const auto fwd = static_cast(edge_slot_[k]); + out.edge_flows[static_cast(active_[k])] = res_[static_cast(rev_[fwd])]; } - } - if (!cost_dist.empty()) { - std::sort(cost_dist.begin(), cost_dist.end(), [](auto const& a, auto const& b){ return a.first < b.first; }); - summary.costs.reserve(cost_dist.size()); - summary.flows.reserve(cost_dist.size()); - for (auto const& pr : cost_dist) { summary.costs.push_back(pr.first); summary.flows.push_back(pr.second); } - } - // Min-Cut: Set of edges crossing from the reachable set (S) to the unreachable set (T). - // Computed by finding all nodes reachable from src in the residual graph. - if (total >= kMinFlow) { - auto mc = fs.compute_min_cut(src, node_mask, edge_mask); - summary.min_cut = mc; - if (with_reachable) { - summary.reachable_nodes.assign(static_cast(g.num_nodes()), 0u); - auto residual = fs.residual_view(); - auto eflows = fs.edge_flow_view(); - const bool reach_use_node_mask = use_node_mask; - const bool reach_use_edge_mask = use_edge_mask; - const auto N = static_cast(g.num_nodes()); - std::vector stack; - stack.reserve(N); - stack.push_back(src); - while (!stack.empty()) { - auto n = static_cast(stack.back()); - stack.pop_back(); - if (summary.reachable_nodes[n]) continue; - if (reach_use_node_mask && !node_mask[n]) continue; - summary.reachable_nodes[n] = 1u; - auto ro = g.row_offsets_view(); - auto ci = g.col_indices_view(); - auto ae = g.adj_edge_index_view(); - auto s = static_cast(ro[n]); - auto e = static_cast(ro[n+1]); - for (std::size_t p = s; p < e; ++p) { - auto v = static_cast(ci[p]); - auto eid = static_cast(ae[p]); - if (reach_use_edge_mask && !edge_mask[eid]) continue; - if (reach_use_node_mask && !node_mask[v]) continue; - if (residual[eid] > kMinCap && !summary.reachable_nodes[v]) { - stack.push_back(static_cast(v)); - } + // Full residual closure seeded at the real sources (reverse and virtual arcs included). + std::vector seen(static_cast(n_), 0); + std::vector queue; + queue.reserve(static_cast(n_)); + for (NodeId s : srcs_) { + seen[static_cast(s)] = 1; + queue.push_back(s); + } + for (std::size_t qi = 0; qi < queue.size(); ++qi) { + const auto u = static_cast(queue[qi]); + for (auto p = off_[u]; p < off_[u + 1]; ++p) { + const auto pi = static_cast(p); + const auto v = static_cast(head_[pi]); + if (res_[pi] > 0 && seen[v] == 0) { + seen[v] = 1; + queue.push_back(static_cast(v)); } - auto iro = g.in_row_offsets_view(); - auto ici = g.in_col_indices_view(); - auto iae = g.in_adj_edge_index_view(); - auto rs = static_cast(iro[n]); - auto re = static_cast(iro[n+1]); - for (std::size_t p = rs; p < re; ++p) { - auto u = static_cast(ici[p]); - auto eid = static_cast(iae[p]); - if (reach_use_edge_mask && !edge_mask[eid]) continue; - if (reach_use_node_mask && !node_mask[u]) continue; - if (eflows[eid] > kMinFlow && !summary.reachable_nodes[u]) { - stack.push_back(static_cast(u)); - } + } + } + if (seen[static_cast(t_)] == 0) { + const auto edge_src = g_.edge_src(); + const auto edge_dst = g_.edge_dst(); + std::vector cut; + for (EdgeId e : active_) { + const auto ei = static_cast(e); + if (seen[static_cast(edge_src[ei])] != 0 && + seen[static_cast(edge_dst[ei])] == 0 && view[ei] > 0) { + cut.push_back(e); } } + out.min_cut = std::move(cut); + } + out.potentials.resize(static_cast(g_.num_nodes())); + for (std::size_t v = 0; v < out.potentials.size(); ++v) { + out.potentials[v] = ever_[v] != 0 ? pi_[v] : kNeverReached; } + return out; } - return {summary.total_flow, std::move(summary)}; -} -std::vector -batch_max_flow(const StrictMultiDiGraph& g, - const std::vector>& pairs, - FlowPlacement placement, bool shortest_path, - bool require_capacity, - bool with_edge_flows, - bool with_reachable, - bool with_residuals, - const std::vector>& node_masks, - const std::vector>& edge_masks) { - // Validate all masks upfront - for (const auto& nm : node_masks) { - if (!nm.empty() && nm.size() != static_cast(g.num_nodes())) { - throw std::invalid_argument("batch_max_flow: node_mask length mismatch"); +private: + // Dijkstra on reduced costs to completion; potentials of the settled vertices updated. + // Returns whether t* was reached. + bool dijkstra(FlowCoreCounters& c) { + ++c.dijkstra_runs; + std::fill(dist_.begin(), dist_.end(), kInfDist); + settled_.clear(); + heap_.clear(); + dist_[static_cast(s_)] = 0; + heap_.push(0, s_); + while (!heap_.empty()) { + const auto [du, ui] = heap_.pop(); + ++c.dijkstra_pops; + const auto u = static_cast(ui); + if (du != dist_[u]) continue; + settled_.push_back(ui); + ++c.settled; + const Cost base = du + pi_[u]; + const auto end = off_[u + 1]; + c.arc_scans += end - off_[u]; + for (auto p = off_[u]; p < end; ++p) { + const auto pi = static_cast(p); + if (res_[pi] <= 0) continue; + const auto v = static_cast(head_[pi]); + const Cost nd = base + cost_[pi] - pi_[v]; + if (nd < dist_[v]) { + dist_[v] = nd; + heap_.push(nd, static_cast(v)); + } + } } - } - for (const auto& em : edge_masks) { - if (!em.empty() && em.size() != static_cast(g.num_edges())) { - throw std::invalid_argument("batch_max_flow: edge_mask length mismatch"); + for (std::int32_t v : settled_) { + const auto vi = static_cast(v); + pi_[vi] += dist_[vi]; + ever_[vi] = 1; } + return dist_[static_cast(t_)] != kInfDist; } - std::vector out(pairs.size()); - auto run_range = [&](std::size_t begin, std::size_t end) { - for (std::size_t i = begin; i < end; ++i) { - auto pr = pairs[i]; - std::span nm = (i < node_masks.size() ? node_masks[i] : std::span{}); - std::span em = (i < edge_masks.size() ? edge_masks[i] : std::span{}); - auto [val, summary] = calc_max_flow(g, pr.first, pr.second, - placement, shortest_path, - require_capacity, - with_edge_flows, - with_reachable, - with_residuals, - nm, em); - out[i] = std::move(summary); + // BFS levels over admissible arcs (positive residual, zero reduced cost). Counts one phase. + // Only vertices that can reach t* over admissible arcs are levelled: every vertex on a + // shortest admissible path from s* to such a vertex reaches t* too, so their levels equal the + // levels of a full BFS, and the other vertices are dead ends that the DFS would only enter and + // leave. The forward search also stops once t*'s level is complete. The augmenting paths are + // therefore the ones a full BFS gives. + bool build_levels(FlowCoreCounters& c) { + const auto t = static_cast(t_); + // Reverse search from t*: the arc into v from head_[p] is the partner of v's slot p. + ++mark_epoch_; + queue_.clear(); + reach_[t] = mark_epoch_; + queue_.push_back(t_); + for (std::size_t qi = 0; qi < queue_.size(); ++qi) { + const auto v = static_cast(queue_[qi]); + const Cost pv = pi_[v]; + const auto end = off_[v + 1]; + c.arc_scans += end - off_[v]; + for (auto p = off_[v]; p < end; ++p) { + const auto pi = static_cast(p); + const auto u = static_cast(head_[pi]); + if (reach_[u] == mark_epoch_) continue; + const auto in = static_cast(rev_[pi]); + if (res_[in] > 0 && cost_[in] + pi_[u] == pv) { + reach_[u] = mark_epoch_; + queue_.push_back(static_cast(u)); + } + } } - }; - // Pairs are independent over an immutable graph; evaluate chunks in parallel. - // Thread count from NGRAPH_CORE_BATCH_THREADS env or hardware concurrency. - const auto thread_budget = thread_budget_from_env("NGRAPH_CORE_BATCH_THREADS", pairs.size()); - if (thread_budget <= 1) { - run_range(0, pairs.size()); - return out; - } - // Claim pairs one at a time from a shared counter rather than handing each worker a - // fixed contiguous chunk. Per-pair cost varies by orders of magnitude (a dense - // cross-fabric pair versus a disconnected one), so static chunking leaves workers - // idle whenever the expensive pairs happen to land in the same chunk. - std::atomic next_pair{0}; - auto run_dynamic = [&]() { - for (;;) { - const std::size_t i = next_pair.fetch_add(1, std::memory_order_relaxed); - if (i >= pairs.size()) break; - run_range(i, i + 1); + std::fill(level_.begin(), level_.end(), -1); + ++c.dinic_phases; + const auto s = static_cast(s_); + if (reach_[s] != mark_epoch_) return false; + queue_.clear(); + level_[s] = 0; + queue_.push_back(s_); + for (std::size_t qi = 0; qi < queue_.size(); ++qi) { + const auto u = static_cast(queue_[qi]); + if (level_[t] >= 0 && level_[u] >= level_[t]) break; + const Cost pu = pi_[u]; + const auto next = level_[u] + 1; + const auto end = off_[u + 1]; + c.arc_scans += end - off_[u]; + for (auto p = off_[u]; p < end; ++p) { + const auto pi = static_cast(p); + const auto v = static_cast(head_[pi]); + if (level_[v] < 0 && reach_[v] == mark_epoch_ && res_[pi] > 0 && cost_[pi] + pu == pi_[v]) { + level_[v] = next; + queue_.push_back(static_cast(v)); + } + } } - }; - std::vector> futures; - futures.reserve(thread_budget); - for (std::size_t w = 0; w < thread_budget; ++w) { - futures.emplace_back(std::async(std::launch::async, run_dynamic)); + return level_[t] >= 0; } - for (auto& f : futures) f.get(); - return out; -} -std::vector> -sensitivity_analysis(const StrictMultiDiGraph& g, NodeId src, NodeId dst, - FlowPlacement placement, bool shortest_path, - bool require_capacity, - std::span node_mask, - std::span edge_mask) { - // Step 1: Baseline analysis to identify saturated edges - // Uses shortest_path mode to match the routing semantics being analyzed. - auto [baseline_flow, summary] = calc_max_flow( - g, src, dst, placement, - shortest_path, - require_capacity, - /*with_edge_flows=*/false, - /*with_reachable=*/false, - /*with_residuals=*/true, - node_mask, edge_mask); - - if (baseline_flow < kMinFlow || summary.residual_capacity.empty()) { - return {}; - } - - std::vector candidates; - // Identify saturated edges (residual <= kMinCap) - // Only consider edges that are not already masked out - for (EdgeId eid = 0; eid < static_cast(summary.residual_capacity.size()); ++eid) { - if (!edge_mask.empty() && !edge_mask[eid]) continue; // Already masked - if (summary.residual_capacity[eid] <= kMinCap) { - candidates.push_back(eid); + // One augmenting path s* -> t* in the level graph into path_ (current-arc pointers kept: an + // arc that is pushed through stays current; a dead end advances its parent's pointer). + bool find_path(FlowCoreCounters& c) { + stack_.clear(); + path_.clear(); + stack_.push_back(s_); + while (!stack_.empty()) { + const auto u = static_cast(stack_.back()); + if (static_cast(u) == t_) return true; + bool advanced = false; + const auto end = off_[u + 1]; + const auto next = level_[u] + 1; + const Cost pu = pi_[u]; + while (cur_[u] < end) { + ++c.arc_scans; + const auto pi = static_cast(cur_[u]); + const auto v = static_cast(head_[pi]); + if (res_[pi] > 0 && level_[v] == next && cost_[pi] + pu == pi_[v]) { + stack_.push_back(static_cast(v)); + path_.push_back(static_cast(pi)); + advanced = true; + break; + } + ++cur_[u]; + } + if (!advanced) { + stack_.pop_back(); + if (!path_.empty()) { + path_.pop_back(); + ++cur_[static_cast(stack_.back())]; + } + } } + return false; } - if (candidates.empty()) { - return {}; - } + const StrictMultiDiGraph& g_; + std::int32_t n_; + std::int32_t s_; + std::int32_t t_; + std::vector active_ {}; + std::vector srcs_ {}; + std::vector dsts_ {}; + std::vector off_ {}; + std::vector head_ {}; + std::vector rev_ {}; + std::vector cost_ {}; + std::vector res_ {}; + std::vector edge_slot_ {}; + std::vector pi_ {}; + std::vector ever_ {}; + std::vector dist_ {}; + std::vector settled_ {}; + RadixHeap heap_ {}; + std::vector level_ {}; + std::vector reach_ {}; + std::uint32_t mark_epoch_ {0}; + std::vector queue_ {}; + std::vector cur_ {}; + std::vector stack_ {}; + std::vector path_ {}; +}; - // Prepare mutable mask buffer - const auto N = static_cast(g.num_edges()); - std::unique_ptr test_mask_buf(new bool[N]); - if (edge_mask.empty()) { - std::fill(test_mask_buf.get(), test_mask_buf.get() + N, true); - } else { - std::copy(edge_mask.begin(), edge_mask.end(), test_mask_buf.get()); - } - std::vector> results; - results.reserve(candidates.size()); +} // namespace - // Step 2: Iterate candidates, testing flow reduction when each is removed - const auto thread_budget = thread_budget_from_env("NGRAPH_CORE_SENSITIVITY_THREADS", candidates.size()); - if (thread_budget <= 1) { - for (EdgeId eid : candidates) { - auto maybe_result = evaluate_sensitivity_candidate( - g, src, dst, placement, - shortest_path, require_capacity, - baseline_flow, node_mask, - eid, test_mask_buf.get(), N); - if (maybe_result.has_value()) { - results.push_back(*maybe_result); - } +FlowCoreResult place_global_units(const StrictMultiDiGraph& g, + std::span view, + std::span sources, + std::span destinations, + const Eligibility* elig, + std::optional cap) { + const auto num_edges = static_cast(g.num_edges()); + if (view.size() != num_edges) { + throw std::invalid_argument("view has length " + std::to_string(view.size()) + ", expected " + + std::to_string(num_edges) + " (one entry per edge)"); + } + const auto capacity = g.capacity_units(); + for (std::size_t e = 0; e < num_edges; ++e) { + if (view[e] < 0 || view[e] > capacity[e]) { + throw std::invalid_argument("view[" + std::to_string(e) + "] = " + std::to_string(view[e]) + + " is outside [0, capacity_units[" + std::to_string(e) + "] = " + + std::to_string(capacity[e]) + "]"); } - return results; } - - const auto chunk_size = (candidates.size() + thread_budget - 1) / thread_budget; - std::vector>>> futures; - futures.reserve(thread_budget); - - for (std::size_t begin = 0; begin < candidates.size(); begin += chunk_size) { - const std::size_t end = std::min(begin + chunk_size, candidates.size()); - futures.emplace_back(std::async(std::launch::async, [&, begin, end]() { - std::unique_ptr local_mask_buf(new bool[N]); - if (!edge_mask.empty()) { - std::copy(edge_mask.begin(), edge_mask.end(), local_mask_buf.get()); - } else { - std::fill(local_mask_buf.get(), local_mask_buf.get() + N, true); - } - - std::vector> local_results; - local_results.reserve(end - begin); - for (std::size_t idx = begin; idx < end; ++idx) { - auto maybe_result = evaluate_sensitivity_candidate( - g, src, dst, placement, - shortest_path, require_capacity, - baseline_flow, node_mask, - candidates[idx], local_mask_buf.get(), N); - if (maybe_result.has_value()) { - local_results.push_back(*maybe_result); - } - } - return local_results; - })); + const auto srcs = endpoint_set(sources, g.num_nodes(), "sources"); + const auto dsts = endpoint_set(destinations, g.num_nodes(), "destinations"); + for (std::size_t i = 0, k = 0; i < srcs.size() && k < dsts.size();) { + if (srcs[i] == dsts[k]) { + throw std::invalid_argument("node " + std::to_string(srcs[i]) + + " is in both endpoint sets: sources and destinations must not overlap"); + } + if (srcs[i] < dsts[k]) ++i; else ++k; } - - for (auto& future : futures) { - auto local_results = future.get(); - results.insert(results.end(), local_results.begin(), local_results.end()); + if (cap.has_value() && (*cap < 0 || *cap > kMaxFlowCap)) { + throw std::invalid_argument("cap " + std::to_string(*cap) + " is outside [0, 2^63 - 2]"); } - - return results; + if (elig != nullptr && elig->graph_uid() != g.uid()) { + throw std::invalid_argument("foreign Eligibility: built for another graph"); + } + if (cap.has_value() && *cap == 0) { + // The input cap 0 runs nothing: the prescribed zero payload. + FlowCoreResult out; + out.edge_flows.assign(num_edges, 0); + out.potentials.assign(static_cast(g.num_nodes()), kNeverReached); + return out; + } + Solver solver(g, view, srcs, dsts, elig); + return solver.run(view, cap.value_or(kUncapped)); } } // namespace netgraph::core diff --git a/src/shortest_paths.cpp b/src/shortest_paths.cpp deleted file mode 100644 index 080074e..0000000 --- a/src/shortest_paths.cpp +++ /dev/null @@ -1,1245 +0,0 @@ -/* Path enumeration from PredDAG (resolve_to_paths). */ -#include "netgraph/core/shortest_paths.hpp" -#include "netgraph/core/constants.hpp" -#include "netgraph/core/profiling.hpp" - -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include - -namespace netgraph::core { - -static inline void group_parents(const PredDAG& dag, NodeId v, - std::vector>>& out) { - out.clear(); - const auto start = static_cast(dag.parent_offsets[static_cast(v)]); - const auto end = static_cast(dag.parent_offsets[static_cast(v) + 1]); - if (start >= end) return; - // Collect entries, grouping by parent id - // PredDAG does not guarantee sorted by parent; aggregate via map-like linear scan - for (std::size_t i = start; i < end; ++i) { - auto p = dag.parents[i]; - auto e = dag.via_edges[i]; - // find or append group - bool found = false; - for (auto& pr : out) { - if (pr.first == p) { pr.second.push_back(e); found = true; break; } - } - if (!found) out.emplace_back(p, std::vector{e}); - } -} - -std::pair, PredDAG> -path_to_pred_dag(const StrictMultiDiGraph& g, - std::span nodes, - std::span edges) { - const auto cost_view = g.cost_view(); - std::vector dist(static_cast(g.num_nodes()), - std::numeric_limits::max()); - PredDAG dag; - dag.parent_offsets.assign(static_cast(g.num_nodes() + 1), 0); - if (!nodes.empty()) { - dist[static_cast(nodes.front())] = 0; - for (std::size_t i = 1; i < nodes.size(); ++i) { - auto u = nodes[i - 1]; auto v = nodes[i]; auto e = edges[i - 1]; - dist[static_cast(v)] = - dist[static_cast(u)] + cost_view[static_cast(e)]; - dag.parent_offsets[static_cast(v + 1)] = 1; - } - for (std::size_t v = 1; v < dag.parent_offsets.size(); ++v) - dag.parent_offsets[v] += dag.parent_offsets[v - 1]; - dag.parents.resize(static_cast(dag.parent_offsets.back())); - dag.via_edges.resize(static_cast(dag.parent_offsets.back())); - for (std::size_t i = 1; i < nodes.size(); ++i) { - auto v = nodes[i]; - auto base = static_cast(dag.parent_offsets[static_cast(v)]); - dag.parents[base] = nodes[i - 1]; - dag.via_edges[base] = edges[i - 1]; - } - } - return {std::move(dist), std::move(dag)}; -} - -namespace { - -// Shared builder for explicit routes (make_path_dag, make_hops_dag): validates -// the hop sequence and lays the entries out in PredDAG form. -PredDAG build_route_dag(const char* what, const StrictMultiDiGraph& g, - std::span> hops) { - const std::string who(what); - if (hops.empty()) throw std::invalid_argument(who + ": route must be non-empty"); - const auto N = g.num_nodes(); - const auto E = static_cast(g.num_edges()); - const auto esrc = g.edge_src_view(); - const auto edst = g.edge_dst_view(); - std::vector seen(static_cast(N), 0); - PredDAG dag; - dag.parent_offsets.assign(static_cast(N) + 1, 0); - NodeId prev = -1; - for (std::size_t i = 0; i < hops.size(); ++i) { - const auto& hop = hops[i]; - if (hop.empty()) throw std::invalid_argument(who + ": hop " + std::to_string(i) + " is empty"); - NodeId hu = -1, hv = -1; - for (std::size_t k = 0; k < hop.size(); ++k) { - const auto e = hop[k]; - if (e < 0 || static_cast(e) >= E) { - throw std::invalid_argument(who + ": edge id out of range"); - } - for (std::size_t m = 0; m < k; ++m) { - if (hop[m] == e) throw std::invalid_argument(who + ": edge " + std::to_string(e) + " repeated in hop " + std::to_string(i)); - } - const auto u = esrc[static_cast(e)]; - const auto v = edst[static_cast(e)]; - if (k == 0) { hu = u; hv = v; } - else if (u != hu || v != hv) { - throw std::invalid_argument(who + ": edges of hop " + std::to_string(i) + " are not parallel (they must join the same node pair)"); - } - } - if (i == 0) { - seen[static_cast(hu)] = 1; - } else if (hu != prev) { - throw std::invalid_argument( - who + ": hops are not contiguous (edge source does not match the previous hop's destination)"); - } - if (seen[static_cast(hv)]) { - throw std::invalid_argument(who + ": route revisits a node (must be a simple path)"); - } - seen[static_cast(hv)] = 1; - prev = hv; - dag.parent_offsets[static_cast(hv) + 1] = static_cast(hop.size()); - } - for (std::size_t v = 1; v < dag.parent_offsets.size(); ++v) dag.parent_offsets[v] += dag.parent_offsets[v - 1]; - dag.parents.resize(static_cast(dag.parent_offsets.back())); - dag.via_edges.resize(static_cast(dag.parent_offsets.back())); - for (const auto& hop : hops) { - const auto hu = esrc[static_cast(hop[0])]; - const auto hv = edst[static_cast(hop[0])]; - auto base = static_cast(dag.parent_offsets[static_cast(hv)]); - for (std::size_t k = 0; k < hop.size(); ++k) { - dag.parents[base + k] = hu; - dag.via_edges[base + k] = hop[k]; - } - } - return dag; -} - -} // namespace - -PredDAG make_path_dag(const StrictMultiDiGraph& g, std::span edges) { - std::vector> hops; - hops.reserve(edges.size()); - for (auto e : edges) hops.push_back({e}); - return build_route_dag("make_path_dag", g, hops); -} - -PredDAG make_hops_dag(const StrictMultiDiGraph& g, std::span> hops) { - return build_route_dag("make_hops_dag", g, hops); -} - -std::vector>>> -resolve_to_paths(const PredDAG& dag, NodeId src, NodeId dst, - bool split_parallel_edges, - std::optional max_paths) { - std::vector>>> paths; - if (src == dst) { - // Trivial path: ((src, ())) - std::vector>> p; - p.emplace_back(src, std::vector{}); - paths.push_back(std::move(p)); - return paths; - } - if (static_cast(dst) >= dag.parent_offsets.size() - 1) return paths; - if (dag.parent_offsets[static_cast(dst)] == dag.parent_offsets[static_cast(dst) + 1]) return paths; - - // Iterative DFS stack: each frame holds current node and index into its parent-groups. - struct Frame { NodeId node; std::size_t idx; std::vector>> groups; }; - std::vector stack; - stack.reserve(16); - // on_path[v] marks nodes on the current DFS stack. A well-formed PredDAG is - // acyclic, but zero-cost edges (or a caller-supplied DAG) can contain cycles; - // without this guard the enumeration below would walk them forever. - std::vector on_path(dag.parent_offsets.size() > 0 ? dag.parent_offsets.size() - 1 : 0, 0); - // start from dst - Frame start; start.node = dst; start.idx = 0; group_parents(dag, dst, start.groups); - stack.push_back(std::move(start)); - on_path[static_cast(dst)] = 1; - - std::vector>> current; // reversed path accum - - while (!stack.empty()) { - auto& top = stack.back(); - if (top.idx >= top.groups.size()) { - // backtrack - on_path[static_cast(top.node)] = 0; - stack.pop_back(); - if (!current.empty()) current.pop_back(); - continue; - } - auto [parent, edges] = top.groups[top.idx++]; - // Skip parents already on the current path (cycle in the input DAG). - if (parent != src && on_path[static_cast(parent)]) continue; - current.emplace_back(top.node, std::move(edges)); - if (parent == src) { - // reached src; build forward segments: for each hop prev->next store (next, edges) - std::vector>> segments; - segments.reserve(current.size()); - for (auto it = current.rbegin(); it != current.rend(); ++it) { - segments.emplace_back(it->first, it->second); - } - // Build path tuples: (src, edges for src->n1), (n1, edges for n1->n2), ..., (dst, ()) - std::vector>> path; - path.reserve(segments.size() + 1); - if (!segments.empty()) { - // src element - path.emplace_back(src, segments[0].second); - // intermediate elements (attach next hop's edges to current node) - for (std::size_t j = 1; j < segments.size(); ++j) { - path.emplace_back(segments[j - 1].first, segments[j].second); - } - // dst element - path.emplace_back(segments.back().first, std::vector{}); - } else { - // Degenerate: src==dst should be handled earlier, but keep form - path.emplace_back(src, std::vector{}); - } - if (!split_parallel_edges) { - paths.push_back(std::move(path)); - } else { - // expand cartesian product over edge sets excluding last (dst has empty edges) - // collect ranges - std::vector idxs(path.size(), 0); - // Enumerate over all elements except the final dst (which has empty edges) - const std::size_t start_i = 0; - const std::size_t end_i = path.size() - 2; // last index before dst - // initialize counters - bool done = false; - while (!done) { - // build one concrete path - std::vector>> concrete; - concrete.reserve(path.size()); - for (std::size_t i = start_i; i <= end_i; ++i) { - const auto& node = path[i].first; - const auto& eds = path[i].second; - if (!eds.empty()) { - std::size_t sel = std::min(idxs[i], eds.size() - 1); - concrete.emplace_back(node, std::vector{ eds[sel] }); - } else { - concrete.emplace_back(node, std::vector{}); - } - } - // append dst with empty edges - concrete.emplace_back(path.back().first, std::vector{}); - paths.push_back(std::move(concrete)); - if (max_paths && static_cast(paths.size()) >= *max_paths) return paths; - // increment counters (mixed radix) - std::ptrdiff_t k = static_cast(end_i); - while (k >= static_cast(start_i)) { - if (path[static_cast(k)].second.empty()) { --k; continue; } - idxs[static_cast(k)]++; - if (idxs[static_cast(k)] < path[static_cast(k)].second.size()) break; - idxs[static_cast(k)] = 0; - if (k == static_cast(start_i)) { done = true; break; } - --k; - } - if (k < static_cast(start_i)) done = true; - } - } - if (max_paths && static_cast(paths.size()) >= *max_paths) return paths; - current.pop_back(); - continue; - } - // descend - Frame next; next.node = parent; next.idx = 0; group_parents(dag, parent, next.groups); - if (next.groups.empty()) { - // dead end, backtrack - current.pop_back(); - continue; - } - on_path[static_cast(parent)] = 1; - stack.push_back(std::move(next)); - } - - return paths; -} - -} // namespace netgraph::core - -/* - Dijkstra shortest path algorithm with capacity-aware tie-breaking. - - Features: - - Residual-aware traversal: uses dynamic residuals if provided, otherwise static capacity - - Multipath mode: collects all equal-cost predecessor edges per node - - Single-path mode: selects one edge per adjacency using: - * Edge-level tie-breaking for parallel edges (PreferHigherResidual or Deterministic) - * Node-level tie-breaking for equal-cost nodes (prefers higher bottleneck capacity) - - Early exit when specific destination is reached - - Frontier queue. The reference queue is a binary heap on (cost, -bottleneck, - node). When the graph's costs fit a bounded number of buckets - (W = max_cost / gcd(costs) + 1 <= kMaxBucketWidth) the search uses a monotone - bucket queue instead: Dijkstra pops costs in non-decreasing order and every - push is at least the cost being popped, so with W cyclic buckets each bucket - holds exactly one cost value at a time. The active bucket is itself a small - heap on (-bottleneck, node), so the pop sequence is identical to the heap's, - including zero-cost pushes into the active bucket, single-path re-pushes, - stale entries and destination early exit. The two queues therefore produce - bit-identical results; ShortestPaths.QueueDifferential_* enforce that. - - Scratch state lives in a thread-local workspace that is reset after each - search: only the touched nodes when few were touched, the whole arrays - otherwise. This removes the O(N) per-query initialisation that dominated small - destination-limited searches on large graphs. A workspace holds no pointer - into any graph, residual or mask; see ForwardWorkspace for what it retains - between searches and when it shrinks. -*/ -namespace netgraph::core { - -namespace { - -constexpr Cost kInf = std::numeric_limits::max(); -constexpr std::size_t kMaxBucketWidth = std::size_t{1} << 16; - -using QItem = std::tuple; - -// Reference queue: binary heap on (cost, -bottleneck, node). Keys are unique per -// push (a node is re-pushed only with a strictly smaller cost or a strictly -// larger bottleneck), so the pop order is fully determined by the key. -struct HeapQueue { - // Functor, not a function pointer: std::push_heap / pop_heap inline it. - struct Greater { bool operator()(const QItem& a, const QItem& b) const { return a > b; } }; - std::vector h; - void begin(std::size_t, Cost) { h.clear(); } - void end() { h.clear(); } - void drop_storage() { std::vector fresh; h.swap(fresh); } - bool empty() const { return h.empty(); } - Cost top_cost() const { return std::get<0>(h.front()); } - QItem pop() { - std::pop_heap(h.begin(), h.end(), Greater{}); - QItem t = h.back(); h.pop_back(); return t; - } - void push(Cost c, Cap nr, NodeId v) { - h.emplace_back(c, nr, v); - std::push_heap(h.begin(), h.end(), Greater{}); - } -}; - -// Monotone bucket queue with ordered buckets (see the file comment). -struct BucketQueue { - struct Item { Cap neg_res; NodeId node; }; - struct Greater { - bool operator()(const Item& a, const Item& b) const { - return a.neg_res != b.neg_res ? a.neg_res > b.neg_res : a.node > b.node; - } - }; - std::vector> buckets; - std::vector occ; // one bit per non-empty bucket; all zero between searches - std::vector dirty; // occupancy words set during the current search - std::size_t W = 0, cur_b = 0, pending = 0; - std::size_t item_capacity = 0; // sum of the buckets' retained capacities - std::size_t peak_pending = 0; // largest frontier of the current search - Cost cur = 0, stride = 1; - // A frontier of exactly one item is held inline rather than in a bucket, so - // chain-like stretches pay no bucket bookkeeping; a second push promotes it. - bool inline_item = false; - QItem single; - - void begin(std::size_t width, Cost stride_) { - stride = stride_; - W = width; - if (buckets.size() < W) buckets.resize(W); - const std::size_t words = (W + 63) / 64; - if (occ.size() < words) occ.resize(words, 0); // existing words are already zero - cur = 0; cur_b = 0; pending = 0; peak_pending = 0; inline_item = false; - } - // Early exit can leave items behind: clear the buckets of the words this - // search set (O(buckets used), not O(W)). Retained item storage is dropped - // when it exceeds a small multiple of what this search needed, so the - // workspace does not accumulate the high-water marks of every bucket ever - // used across differently shaped graphs. - void end() { - for (auto w : dirty) { - std::uint64_t word = occ[w]; - while (word) { - const std::size_t b = (static_cast(w) << 6) + static_cast(std::countr_zero(word)); - buckets[b].clear(); - word &= word - 1; - } - occ[w] = 0; - } - dirty.clear(); - pending = 0; inline_item = false; - if (item_capacity > 4 * peak_pending + 4096) drop_storage(); - } - void drop_storage() { - for (auto& b : buckets) { std::vector fresh; b.swap(fresh); } - item_capacity = 0; - } - bool empty() const { return pending == 0; } - std::size_t bucket_of(Cost c) const { - const Cost q = stride == 1 ? c : c / stride; - return static_cast(q % static_cast(W)); - } - void push_bucket(Cost c, Cap nr, NodeId v) { - const std::size_t b = bucket_of(c); - auto& vec = buckets[b]; - if (vec.empty()) { - const std::size_t w = b >> 6; - if (occ[w] == 0) dirty.push_back(static_cast(w)); - occ[w] |= (std::uint64_t{1} << (b & 63)); - } - const std::size_t cap_before = vec.capacity(); - vec.push_back({nr, v}); - if (vec.capacity() != cap_before) item_capacity += vec.capacity() - cap_before; - if (b == cur_b) std::push_heap(vec.begin(), vec.end(), Greater{}); - ++pending; - if (pending > peak_pending) peak_pending = pending; - } - void push(Cost c, Cap nr, NodeId v) { - if (pending == 0) { - single = {c, nr, v}; inline_item = true; pending = 1; - if (peak_pending == 0) peak_pending = 1; - return; - } - if (inline_item) { - // Promote the inline item into the buckets. cur is the cost of the last - // popped item, so every pending cost lies in [cur, cur + max_cost] and - // the cyclic bucket invariant holds from cur_b = bucket_of(cur). - inline_item = false; pending = 0; - cur_b = bucket_of(cur); - push_bucket(std::get<0>(single), std::get<1>(single), std::get<2>(single)); - } - push_bucket(c, nr, v); - } - // Advance to the next non-empty bucket when the active one is exhausted. - // Precondition: pending > 0 and no inline item. - void settle_active() { - if (!buckets[cur_b].empty()) return; - std::size_t i = cur_b + 1; if (i == W) i = 0; - std::size_t w = i >> 6; - std::uint64_t word = occ[w] & (~std::uint64_t{0} << (i & 63)); - const std::size_t nwords = (W + 63) / 64; - while (!word) { w = (w + 1 == nwords) ? 0 : w + 1; word = occ[w]; } - const std::size_t f = (w << 6) + static_cast(std::countr_zero(word)); - const std::size_t steps = f > cur_b ? f - cur_b : f + W - cur_b; - cur += static_cast(steps) * stride; cur_b = f; - std::make_heap(buckets[f].begin(), buckets[f].end(), Greater{}); - } - Cost top_cost() { - if (inline_item) return std::get<0>(single); - settle_active(); return cur; - } - QItem pop() { - if (inline_item) { - inline_item = false; pending = 0; - cur = std::get<0>(single); // cur_b keeps the last activation; promotion recomputes it - return single; - } - settle_active(); - auto& vec = buckets[cur_b]; - std::pop_heap(vec.begin(), vec.end(), Greater{}); - const Item it = vec.back(); vec.pop_back(); --pending; - if (vec.empty()) occ[cur_b >> 6] &= ~(std::uint64_t{1} << (cur_b & 63)); - return {cur, it.neg_res, it.node}; - } -}; - -struct BucketPlan { bool eligible = false; std::size_t width = 0; Cost stride = 1; }; - -// The value equal-cost alternatives are ranked by (EdgeSelection::priority). -// `rem` is the residual when one was supplied, otherwise the capacity; the -// default instantiation returns it untouched and never reads `cap`. -template -inline Cap priority_of(Cap rem, std::span cap, std::size_t e) { - if constexpr (P == EdgePriority::Residual) { - (void)cap; (void)e; return rem; - } else if constexpr (P == EdgePriority::Capacity) { - return cap[e]; - } else { - const Cap c = cap[e]; - return c > static_cast(0) ? rem / c : static_cast(0); - } -} - -BucketPlan plan_buckets(const StrictMultiDiGraph& g) { - BucketPlan p; - p.stride = g.cost_gcd() > 0 ? g.cost_gcd() : 1; - const Cost w = g.max_cost() / p.stride + 1; // max_cost < 2^62, no overflow - p.eligible = w <= static_cast(kMaxBucketWidth); - p.width = p.eligible ? static_cast(w) : 0; - return p; -} - -SpfQueue env_queue_override() { - static const SpfQueue q = [] { - const char* v = std::getenv("NGRAPH_CORE_SPF_QUEUE"); - if (!v) return SpfQueue::Auto; - const std::string s(v); - if (s == "heap") return SpfQueue::Heap; - if (s == "bucket") return SpfQueue::Bucket; - return SpfQueue::Auto; - }(); - return q; -} - -bool use_bucket_queue(const StrictMultiDiGraph& g, SpfQueue requested, BucketPlan& plan) { - const SpfQueue q = requested == SpfQueue::Auto ? env_queue_override() : requested; - if (q == SpfQueue::Heap) return false; - plan = plan_buckets(g); - return plan.eligible; -} - -// Shared reset policy: sparse when few nodes were touched, wholesale otherwise. -// The same predicate decides how outputs are materialised, so the two agree. -template -bool sparse_reset(const WS& ws) { return ws.touched.size() * 4 < ws.dist.size(); } - -// Resizes a fixed-size scratch array; returns true when a much larger buffer -// was released because the graph shrank. -template -bool ensure_sized(Vec& v, std::size_t n, typename Vec::value_type init) { - if (v.size() == n) return false; - bool released = false; - if (n * 4 < v.capacity()) { Vec fresh; v.swap(fresh); released = true; } - v.assign(n, init); - return released; -} - -template -void drop(Vec& v) { Vec fresh; v.swap(fresh); } - -// Forward search scratch. Invariant between searches: dist == kInf, -// min_res == 0, pred_head/pred_tail == -1, pred_count == 0, settled == 0 for -// every node; the entry arrays, touched list and queues are empty. -// -// Retention: the node arrays are sized to the current graph and released when -// a graph less than a quarter the size is searched; at that point the entry -// arrays, touched list, heap and bucket storage are released too. Otherwise -// those growable buffers keep their high-water capacity, except that the -// bucket queue drops its item storage when it exceeds a small multiple of the -// last search's peak frontier. The searches are synchronous and do not call -// back into user code, so a workspace is never re-entered on its thread. -struct ForwardWorkspace { - std::vector dist; - std::vector min_res; - std::vector pred_head, pred_tail, pred_count; - std::vector settled; - std::vector ent_parent; - std::vector ent_edge; - std::vector ent_next; - std::vector touched; - std::vector sel_buf; - HeapQueue heap; - BucketQueue bucket; - - // Predecessor lists: pred_head/pred_tail index into the ent_* arrays, whose - // entries are (parent, via_edge) pairs appended in discovery order; pred_count - // is the live length, so the result is sized without walking the lists twice. - void clear_preds(std::size_t v) { pred_head[v] = -1; pred_tail[v] = -1; pred_count[v] = 0; } - void append_pred(std::size_t v, NodeId p, EdgeId e) { - const auto idx = static_cast(ent_parent.size()); - ent_parent.push_back(p); ent_edge.push_back(e); ent_next.push_back(-1); - if (pred_head[v] < 0) pred_head[v] = idx; - else ent_next[static_cast(pred_tail[v])] = idx; - pred_tail[v] = idx; - ++pred_count[v]; - } - - void acquire(std::size_t n) { - const bool shrank = ensure_sized(dist, n, kInf); - ensure_sized(min_res, n, static_cast(0)); - ensure_sized(pred_head, n, -1); - ensure_sized(pred_tail, n, -1); - ensure_sized(pred_count, n, 0); - ensure_sized(settled, n, 0); - if (shrank) { - drop(ent_parent); drop(ent_edge); drop(ent_next); drop(touched); drop(sel_buf); - heap.drop_storage(); bucket.drop_storage(); - } - ent_parent.clear(); ent_edge.clear(); ent_next.clear(); touched.clear(); - } - void release() { - if (sparse_reset(*this)) { - for (auto v : touched) { - const auto i = static_cast(v); - dist[i] = kInf; min_res[i] = 0; pred_head[i] = -1; pred_tail[i] = -1; pred_count[i] = 0; settled[i] = 0; - } - } else { - std::fill(dist.begin(), dist.end(), kInf); - std::fill(min_res.begin(), min_res.end(), static_cast(0)); - std::fill(pred_head.begin(), pred_head.end(), -1); - std::fill(pred_tail.begin(), pred_tail.end(), -1); - std::fill(pred_count.begin(), pred_count.end(), 0); - std::fill(settled.begin(), settled.end(), 0); - } - touched.clear(); - heap.end(); bucket.end(); - } -}; - -// Reverse search scratch; same invariant. has_in_entry[v]: some DAG entry -// u -> v exists; a fanout edge may not leave such a node. -struct ReverseWorkspace { - std::vector dist; - std::vector min_res; - std::vector succ_head, succ_tail; - std::vector settled; - std::vector has_in_entry; - std::vector ent_node; - std::vector ent_edge; - std::vector ent_next; - std::vector touched; - std::vector sel_buf; - HeapQueue heap; - BucketQueue bucket; - - // Successor lists per tail node u: (v, e) entries in the ent_* arrays. - void clear_succs(std::size_t u) { succ_head[u] = -1; succ_tail[u] = -1; } - void append_succ(std::size_t u, NodeId v, EdgeId e) { - const auto idx = static_cast(ent_node.size()); - ent_node.push_back(v); ent_edge.push_back(e); ent_next.push_back(-1); - if (succ_head[u] < 0) succ_head[u] = idx; - else ent_next[static_cast(succ_tail[u])] = idx; - succ_tail[u] = idx; - } - - void acquire(std::size_t n) { - const bool shrank = ensure_sized(dist, n, kInf); - ensure_sized(min_res, n, static_cast(0)); - ensure_sized(succ_head, n, -1); - ensure_sized(succ_tail, n, -1); - ensure_sized(settled, n, 0); - ensure_sized(has_in_entry, n, 0); - if (shrank) { - drop(ent_node); drop(ent_edge); drop(ent_next); drop(touched); drop(sel_buf); - heap.drop_storage(); bucket.drop_storage(); - } - ent_node.clear(); ent_edge.clear(); ent_next.clear(); touched.clear(); - } - void release() { - if (sparse_reset(*this)) { - for (auto v : touched) { - const auto i = static_cast(v); - dist[i] = kInf; min_res[i] = 0; succ_head[i] = -1; succ_tail[i] = -1; - settled[i] = 0; has_in_entry[i] = 0; - } - } else { - std::fill(dist.begin(), dist.end(), kInf); - std::fill(min_res.begin(), min_res.end(), static_cast(0)); - std::fill(succ_head.begin(), succ_head.end(), -1); - std::fill(succ_tail.begin(), succ_tail.end(), -1); - std::fill(settled.begin(), settled.end(), 0); - std::fill(has_in_entry.begin(), has_in_entry.end(), 0); - } - touched.clear(); - heap.end(); bucket.end(); - } -}; - -thread_local ForwardWorkspace tls_forward; -thread_local ReverseWorkspace tls_reverse; - -// Restores the workspace invariant on every exit path, including exceptions. -// Callers must record a node in `touched` before writing its scratch entries, -// so that a throwing push_back cannot leave an unrecorded modification behind. -template -struct WorkspaceLease { - WS& ws; - ~WorkspaceLease() { ws.release(); } -}; - -// The search loop, shared by both queues. Precondition: src is allowed and -// initialised in ws (dist 0, min_res max, touched). -template -void run_forward(Queue& pq, ForwardWorkspace& ws, const StrictMultiDiGraph& g, NodeId src, - std::optional dst, bool multipath, const EdgeSelection& selection, - std::span residual, std::span node_mask, - std::span edge_mask, const BucketPlan& plan) { - const auto N = g.num_nodes(); - const auto row = g.row_offsets_view(); - const auto col = g.col_indices_view(); - const auto aei = g.adj_edge_index_view(); - const auto cost = g.cost_view(); - const auto cap = g.capacity_view(); - // Raw pointers into the fixed-size arrays: they are not resized during the - // search, and hoisting them keeps the compiler from reloading the vector - // bases around every store (the workspace is a thread-local object). - Cost* const dist = ws.dist.data(); - Cap* const min_residual_to_node = ws.min_res.data(); - char* const settled = ws.settled.data(); - - const bool use_node_mask = (node_mask.size() == static_cast(N)); - const bool use_edge_mask = (edge_mask.size() == static_cast(g.num_edges())); - const bool has_residual = (residual.size() == static_cast(g.num_edges())); - const bool require_cap = selection.require_capacity || has_residual; - - // Queue items are (cost, -residual, node): cost (minimize) -> residual - // (maximize) -> node (deterministic). This naturally distributes flows across - // equal-cost paths based on available capacity. - pq.begin(plan.width, plan.stride); - pq.push(static_cast(0), -std::numeric_limits::max(), src); - Cost best_dst_cost = kInf; - bool have_best_dst = false; - const bool early_exit = dst.has_value(); - const NodeId dst_node = dst.value_or(-1); - - // settled[v] is set once v is popped at its final distance. Equal-cost - // predecessor updates are only accepted while v is unsettled: with positive - // edge costs every equal-cost parent is discovered before v settles, and with - // zero-cost edges this guard is what keeps the PredDAG acyclic (previously a - // zero-cost pair u<->v recorded each node as the other's parent). - std::vector& selected_edges = ws.sel_buf; - while (!pq.empty()) { - auto [d_u, neg_res_u, u] = pq.pop(); - if (u < 0 || u >= N) continue; - // Skip stale entries (node already processed at a lower cost). - if (d_u > dist[static_cast(u)]) continue; - // Skip residual-stale entries in single-path mode (same cost but outdated residual). - if (!multipath && d_u == dist[static_cast(u)] && - -neg_res_u < min_residual_to_node[static_cast(u)] - kEpsilon) continue; - settled[static_cast(u)] = 1; - - if (early_exit && u == dst_node && !have_best_dst) { best_dst_cost = d_u; have_best_dst = true; } - if (early_exit && u == dst_node) { - if (pq.empty() || pq.top_cost() > best_dst_cost) break; else continue; - } - - auto start = static_cast(row[static_cast(u)]); - auto end = static_cast(row[static_cast(u)+1]); - std::size_t i = start; - // Process edges grouped by destination node (parallel edges are consecutive in CSR). - // A settled neighbour cannot be improved (costs are non-negative) and no - // longer accepts equal-cost or capacity-tie updates, so its whole parallel - // group is skipped before any edge is examined. - while (i < end) { - NodeId v = col[i]; - if (settled[static_cast(v)] || (use_node_mask && !node_mask[static_cast(v)])) { - std::size_t j_skip = i; while (j_skip < end && col[j_skip] == v) ++j_skip; i = j_skip; continue; - } - - // Select best edge(s) from u to v according to policy. - Cost min_edge_cost = kInf; - selected_edges.clear(); - double best_rem_for_min_cost = -1.0; - std::size_t j = i; - int best_edge_id = -1; - for (; j < end && col[j] == v; ++j) { - auto e = static_cast(aei[j]); - if (use_edge_mask && !edge_mask[e]) continue; - const Cap rem = has_residual ? residual[e] : cap[e]; - if (require_cap && rem < kMinCap) continue; - const Cap pri = priority_of

(rem, cap, e); - const Cost ecost = static_cast(cost[e]); - if (ecost < min_edge_cost) { - min_edge_cost = ecost; - selected_edges.clear(); - if (selection.multi_edge) { - selected_edges.push_back(static_cast(aei[j])); - } else { - best_edge_id = static_cast(e); - best_rem_for_min_cost = static_cast(pri); - } - } else if (ecost == min_edge_cost) { - if (selection.multi_edge) { - selected_edges.push_back(static_cast(aei[j])); - } else { - // tie-break among equal-cost edges - if (selection.tie_break == EdgeTieBreak::PreferHigherResidual) { - if (static_cast(pri) > best_rem_for_min_cost + kEpsilon) { - best_edge_id = static_cast(e); - best_rem_for_min_cost = static_cast(pri); - } else if (std::abs(static_cast(pri) - best_rem_for_min_cost) <= kEpsilon) { - // further tie-break deterministically by smaller edge id - if (best_edge_id < 0 || static_cast(e) < best_edge_id) { - best_edge_id = static_cast(e); - } - } - } else { - // Deterministic: smallest edge id - if (best_edge_id < 0 || static_cast(e) < best_edge_id) { - best_edge_id = static_cast(e); - } - } - } - } - } - if (!selection.multi_edge && best_edge_id >= 0) { - selected_edges.clear(); - selected_edges.push_back(static_cast(best_edge_id)); - } - if (!selected_edges.empty()) { - Cost new_cost = static_cast(d_u + min_edge_cost); - auto v_idx = static_cast(v); - // Bottleneck along the path to v through u (node-level tie-breaking), in - // the selected priority value. - Cap max_edge_residual = static_cast(0); - for (auto edge_id : selected_edges) { - const auto idx = static_cast(edge_id); - const Cap rem = has_residual ? residual[idx] : cap[idx]; - const Cap pri = priority_of

(rem, cap, idx); - if (pri > max_edge_residual) max_edge_residual = pri; - } - Cap path_residual = std::min(min_residual_to_node[static_cast(u)], max_edge_residual); - // Relaxation: shorter path, or equal-cost path with better capacity (single-path mode). - if (new_cost < dist[v_idx] || - (!multipath && new_cost == dist[v_idx] && !settled[v_idx] && - path_residual > min_residual_to_node[v_idx] + kEpsilon)) { - if (dist[v_idx] == kInf) ws.touched.push_back(v); - dist[v_idx] = new_cost; - min_residual_to_node[v_idx] = path_residual; - ws.clear_preds(v_idx); - for (auto sel_e : selected_edges) ws.append_pred(v_idx, u, sel_e); - pq.push(new_cost, -path_residual, v); - } - // Multipath: equal-cost alternative (only while v is unsettled; see above). - // min_residual_to_node is not updated here: all equal-cost paths are kept, - // none is chosen by residual. - else if (multipath && new_cost == dist[v_idx] && !settled[v_idx]) { - for (auto sel_e : selected_edges) ws.append_pred(v_idx, u, sel_e); - } - } - i = j; - } - if (have_best_dst) { if (pq.empty() || pq.top_cost() > best_dst_cost) break; } - } -} - -// Runs the forward search on the chosen queue for one priority. -template -void forward_with(bool bucket, ForwardWorkspace& ws, const StrictMultiDiGraph& g, NodeId src, - std::optional dst, bool multipath, const EdgeSelection& selection, - std::span residual, std::span node_mask, - std::span edge_mask, const BucketPlan& plan) { - if (bucket) run_forward(ws.bucket, ws, g, src, dst, multipath, selection, residual, node_mask, edge_mask, plan); - else run_forward(ws.heap, ws, g, src, dst, multipath, selection, residual, node_mask, edge_mask, plan); -} - -// Materialise the distance vector from the forward workspace. -std::vector materialise_dist(const ForwardWorkspace& ws, std::int32_t N) { - if (!sparse_reset(ws)) return ws.dist; - std::vector dist(static_cast(N), kInf); - for (auto v : ws.touched) dist[static_cast(v)] = ws.dist[static_cast(v)]; - return dist; -} - -// Materialise the PredDAG from the forward workspace. Per-node predecessor -// lists are independent, so visiting only touched nodes yields the same arrays -// as visiting every node. -PredDAG materialise_dag(const ForwardWorkspace& ws, std::int32_t N) { - const bool sparse = sparse_reset(ws); - PredDAG dag; - dag.parent_offsets.assign(static_cast(N+1), 0); - if (sparse) { - for (auto v : ws.touched) dag.parent_offsets[static_cast(v) + 1] = ws.pred_count[static_cast(v)]; - } else { - for (std::int32_t v = 0; v < N; ++v) dag.parent_offsets[static_cast(v) + 1] = ws.pred_count[static_cast(v)]; - } - for (std::size_t k = 1; k < dag.parent_offsets.size(); ++k) - dag.parent_offsets[k] += dag.parent_offsets[k-1]; - dag.parents.resize(static_cast(dag.parent_offsets.back())); - dag.via_edges.resize(static_cast(dag.parent_offsets.back())); - auto fill = [&](std::int32_t v) { - auto base = static_cast(dag.parent_offsets[static_cast(v)]); - std::size_t k = 0; - for (std::int32_t i = ws.pred_head[static_cast(v)]; i >= 0; i = ws.ent_next[static_cast(i)]) { - dag.parents[base+k] = ws.ent_parent[static_cast(i)]; - dag.via_edges[base+k] = ws.ent_edge[static_cast(i)]; - ++k; - } - }; - if (sparse) { for (auto v : ws.touched) fill(v); } - else { for (std::int32_t v = 0; v < N; ++v) fill(v); } - return dag; -} - -PredDAG empty_dag(std::int32_t N) { - PredDAG dag; - dag.parent_offsets.assign(static_cast(N + 1), 0); - return dag; -} - -bool source_allowed(const StrictMultiDiGraph& g, NodeId src, std::span node_mask) { - const auto N = g.num_nodes(); - const bool use_node_mask = (node_mask.size() == static_cast(N)); - return src >= 0 && src < N && (!use_node_mask || node_mask[static_cast(src)]); -} - -// Runs the forward search into the acquired workspace. Precondition: the -// source is allowed (source_allowed) and the lease is held by the caller. -void search_forward(ForwardWorkspace& ws, const StrictMultiDiGraph& g, NodeId src, - std::optional dst, bool multipath, const EdgeSelection& selection, - std::span residual, std::span node_mask, - std::span edge_mask, SpfQueue queue) { - ws.touched.push_back(src); // before the writes: see WorkspaceLease - ws.dist[static_cast(src)] = static_cast(0); - ws.min_res[static_cast(src)] = std::numeric_limits::max(); - BucketPlan plan; - const bool bucket = use_bucket_queue(g, queue, plan); - switch (selection.priority) { - case EdgePriority::Capacity: - forward_with(bucket, ws, g, src, dst, multipath, selection, residual, node_mask, edge_mask, plan); break; - case EdgePriority::Headroom: - forward_with(bucket, ws, g, src, dst, multipath, selection, residual, node_mask, edge_mask, plan); break; - default: - forward_with(bucket, ws, g, src, dst, multipath, selection, residual, node_mask, edge_mask, plan); break; - } -} - -std::pair, PredDAG> -shortest_paths_core(const StrictMultiDiGraph& g, NodeId src, - std::optional dst, - bool multipath, - const EdgeSelection& selection, - std::span residual, - std::span node_mask, - std::span edge_mask, - SpfQueue queue) { - NGRAPH_PROFILE_SCOPE("shortest_paths_core"); - const auto N = g.num_nodes(); - if (!source_allowed(g, src, node_mask)) { - // Source is out of range or masked out: no traversal, return empty DAG. - return {std::vector(static_cast(N), kInf), empty_dag(N)}; - } - ForwardWorkspace& ws = tls_forward; - ws.acquire(static_cast(N)); - WorkspaceLease lease{ws}; - search_forward(ws, g, src, dst, multipath, selection, residual, node_mask, edge_mask, queue); - return {materialise_dist(ws, N), materialise_dag(ws, N)}; -} - -std::pair -shortest_paths_dag_core(const StrictMultiDiGraph& g, NodeId src, NodeId dst, - bool multipath, - const EdgeSelection& selection, - std::span residual, - std::span node_mask, - std::span edge_mask, - SpfQueue queue) { - NGRAPH_PROFILE_SCOPE("shortest_paths_core"); - const auto N = g.num_nodes(); - if (!source_allowed(g, src, node_mask)) return {kInf, empty_dag(N)}; - ForwardWorkspace& ws = tls_forward; - ws.acquire(static_cast(N)); - WorkspaceLease lease{ws}; - search_forward(ws, g, src, dst, multipath, selection, residual, node_mask, edge_mask, queue); - const Cost cost = (dst >= 0 && dst < N) ? ws.dist[static_cast(dst)] : kInf; - return {cost, materialise_dag(ws, N)}; -} - -void validate_spans(const char* what, const StrictMultiDiGraph& g, std::span residual, - std::span node_mask, std::span edge_mask) { - if (!node_mask.empty() && node_mask.size() != static_cast(g.num_nodes())) { - throw std::invalid_argument(std::string(what) + ": node_mask length mismatch"); - } - if (!edge_mask.empty() && edge_mask.size() != static_cast(g.num_edges())) { - throw std::invalid_argument(std::string(what) + ": edge_mask length mismatch"); - } - if (!residual.empty() && residual.size() != static_cast(g.num_edges())) { - throw std::invalid_argument(std::string(what) + ": residual length mismatch"); - } -} - -} // namespace - -std::pair, PredDAG> -shortest_paths(const StrictMultiDiGraph& g, NodeId src, - std::optional dst, - bool multipath, - const EdgeSelection& selection, - std::span residual, - std::span node_mask, - std::span edge_mask, - SpfQueue queue) { - validate_spans("shortest_paths", g, residual, node_mask, edge_mask); - return shortest_paths_core(g, src, dst, multipath, selection, residual, node_mask, edge_mask, queue); -} - -std::pair -shortest_paths_dag(const StrictMultiDiGraph& g, NodeId src, NodeId dst, - bool multipath, - const EdgeSelection& selection, - std::span residual, - std::span node_mask, - std::span edge_mask, - SpfQueue queue) { - validate_spans("shortest_paths_dag", g, residual, node_mask, edge_mask); - return shortest_paths_dag_core(g, src, dst, multipath, selection, residual, node_mask, edge_mask, queue); -} - -} // namespace netgraph::core - -/* - Reverse Dijkstra: shortest paths from every node *to* one destination. - - Mirrors the forward search over the in-adjacency (in_row_offsets / - in_col_indices / in_adj_edge_index): the queue settles nodes by their distance - to dst, edge selection runs per (u -> v) parallel group exactly as in the - forward variant, and node-level tie-breaking in single-path mode prefers the - higher bottleneck capacity toward dst. Successor entries (v, e) are kept per - tail node u while u is unsettled, then bucketed by v into the forward PredDAG - layout that placement consumes. The same two queues apply. -*/ -namespace netgraph::core { - -namespace { - -template -void run_reverse(Queue& pq, ReverseWorkspace& ws, const StrictMultiDiGraph& g, NodeId target, - bool multipath, const EdgeSelection& selection, - std::span residual, std::span node_mask, - std::span edge_mask, const BucketPlan& plan) { - const auto N = g.num_nodes(); - const auto E = g.num_edges(); - const auto irow = g.in_row_offsets_view(); - const auto icol = g.in_col_indices_view(); - const auto iaei = g.in_adj_edge_index_view(); - const auto cost = g.cost_view(); - const auto cap = g.capacity_view(); - Cost* const dist = ws.dist.data(); - Cap* const min_residual_to_dst = ws.min_res.data(); - char* const settled = ws.settled.data(); - char* const has_in_entry = ws.has_in_entry.data(); - - const bool use_node_mask = (node_mask.size() == static_cast(N)); - const bool use_edge_mask = (edge_mask.size() == static_cast(E)); - const bool has_residual = (residual.size() == static_cast(E)); - const bool require_cap = selection.require_capacity || has_residual; - - pq.begin(plan.width, plan.stride); - pq.push(static_cast(0), -std::numeric_limits::max(), target); - std::vector& selected_edges = ws.sel_buf; - - while (!pq.empty()) { - auto [d_v, neg_res_v, v] = pq.pop(); - if (v < 0 || v >= N) continue; - if (d_v > dist[static_cast(v)]) continue; - if (!multipath && d_v == dist[static_cast(v)] && - -neg_res_v < min_residual_to_dst[static_cast(v)] - kEpsilon) continue; - settled[static_cast(v)] = 1; - - // In-edges of v, clustered by tail node u (edges are sorted by (src, dst)). - auto start = static_cast(irow[static_cast(v)]); - auto end = static_cast(irow[static_cast(v)+1]); - std::size_t i = start; - while (i < end) { - NodeId u = icol[i]; - if (settled[static_cast(u)] || (use_node_mask && !node_mask[static_cast(u)])) { - std::size_t j_skip = i; while (j_skip < end && icol[j_skip] == u) ++j_skip; i = j_skip; continue; - } - Cost min_edge_cost = kInf; - selected_edges.clear(); - double best_rem_for_min_cost = -1.0; - std::size_t j = i; - int best_edge_id = -1; - for (; j < end && icol[j] == u; ++j) { - auto e = static_cast(iaei[j]); - if (use_edge_mask && !edge_mask[e]) continue; - const Cap rem = has_residual ? residual[e] : cap[e]; - if (require_cap && rem < kMinCap) continue; - const Cap pri = priority_of

(rem, cap, e); - const Cost ecost = static_cast(cost[e]); - if (ecost < min_edge_cost) { - min_edge_cost = ecost; - selected_edges.clear(); - if (selection.multi_edge) { - selected_edges.push_back(static_cast(iaei[j])); - } else { - best_edge_id = static_cast(e); - best_rem_for_min_cost = static_cast(pri); - } - } else if (ecost == min_edge_cost) { - if (selection.multi_edge) { - selected_edges.push_back(static_cast(iaei[j])); - } else if (selection.tie_break == EdgeTieBreak::PreferHigherResidual) { - if (static_cast(pri) > best_rem_for_min_cost + kEpsilon) { - best_edge_id = static_cast(e); - best_rem_for_min_cost = static_cast(pri); - } else if (std::abs(static_cast(pri) - best_rem_for_min_cost) <= kEpsilon) { - if (best_edge_id < 0 || static_cast(e) < best_edge_id) best_edge_id = static_cast(e); - } - } else { - if (best_edge_id < 0 || static_cast(e) < best_edge_id) best_edge_id = static_cast(e); - } - } - } - if (!selection.multi_edge && best_edge_id >= 0) { - selected_edges.clear(); - selected_edges.push_back(static_cast(best_edge_id)); - } - if (!selected_edges.empty()) { - const Cost new_cost = static_cast(d_v + min_edge_cost); - const auto u_idx = static_cast(u); - Cap max_edge_residual = static_cast(0); - for (auto edge_id : selected_edges) { - const auto idx = static_cast(edge_id); - const Cap rem = has_residual ? residual[idx] : cap[idx]; - const Cap pri = priority_of

(rem, cap, idx); - if (pri > max_edge_residual) max_edge_residual = pri; - } - const Cap path_residual = std::min(min_residual_to_dst[static_cast(v)], max_edge_residual); - if (new_cost < dist[u_idx] || - (!multipath && new_cost == dist[u_idx] && !settled[u_idx] && - path_residual > min_residual_to_dst[u_idx] + kEpsilon)) { - if (dist[u_idx] == kInf) ws.touched.push_back(u); - dist[u_idx] = new_cost; - min_residual_to_dst[u_idx] = path_residual; - ws.clear_succs(u_idx); - for (auto sel_e : selected_edges) ws.append_succ(u_idx, v, sel_e); - has_in_entry[static_cast(v)] = 1; - pq.push(new_cost, -path_residual, u); - } else if (multipath && new_cost == dist[u_idx] && !settled[u_idx]) { - for (auto sel_e : selected_edges) ws.append_succ(u_idx, v, sel_e); - has_in_entry[static_cast(v)] = 1; - } - } - i = j; - } - } -} - -// Runs the reverse search on the chosen queue for one priority. -template -void reverse_with(bool bucket, ReverseWorkspace& ws, const StrictMultiDiGraph& g, NodeId target, - bool multipath, const EdgeSelection& selection, - std::span residual, std::span node_mask, - std::span edge_mask, const BucketPlan& plan) { - if (bucket) run_reverse(ws.bucket, ws, g, target, multipath, selection, residual, node_mask, edge_mask, plan); - else run_reverse(ws.heap, ws, g, target, multipath, selection, residual, node_mask, edge_mask, plan); -} - -std::pair, PredDAG> -shortest_paths_to_core(const StrictMultiDiGraph& g, NodeId target, - bool multipath, - const EdgeSelection& selection, - std::span residual, - std::span node_mask, - std::span edge_mask, - std::span fanout_edges, - SpfQueue queue) { - NGRAPH_PROFILE_SCOPE("shortest_paths_to_core"); - const auto N = g.num_nodes(); - const auto E = g.num_edges(); - const auto esrc = g.edge_src_view(); - const auto edst = g.edge_dst_view(); - const auto cost = g.cost_view(); - const auto cap = g.capacity_view(); - const bool use_node_mask = (node_mask.size() == static_cast(N)); - const bool use_edge_mask = (edge_mask.size() == static_cast(E)); - const bool has_residual = (residual.size() == static_cast(E)); - const bool require_cap = selection.require_capacity || has_residual; - const bool target_allowed = (target >= 0 && target < N && - (!use_node_mask || node_mask[static_cast(target)])); - - ReverseWorkspace& ws = tls_reverse; - ws.acquire(static_cast(N)); - WorkspaceLease lease{ws}; - - if (target_allowed) { - ws.touched.push_back(target); // before the writes: see WorkspaceLease - ws.dist[static_cast(target)] = static_cast(0); - ws.min_res[static_cast(target)] = std::numeric_limits::max(); - BucketPlan plan; - const bool bucket = use_bucket_queue(g, queue, plan); - switch (selection.priority) { - case EdgePriority::Capacity: - reverse_with(bucket, ws, g, target, multipath, selection, residual, node_mask, edge_mask, plan); break; - case EdgePriority::Headroom: - reverse_with(bucket, ws, g, target, multipath, selection, residual, node_mask, edge_mask, plan); break; - default: - reverse_with(bucket, ws, g, target, multipath, selection, residual, node_mask, edge_mask, plan); break; - } - } - - // Forced fan-out entries (see the header). - for (auto e_raw : fanout_edges) { - if (e_raw < 0 || e_raw >= E) { - throw std::invalid_argument("shortest_paths_to: fanout edge id out of range"); - } - const auto e = static_cast(e_raw); - const NodeId u = esrc[e]; - const NodeId v = edst[e]; - if (ws.has_in_entry[static_cast(u)]) { - throw std::invalid_argument( - "shortest_paths_to: a fanout edge must leave a node with no incoming DAG entry " - "(otherwise the DAG could contain a cycle)"); - } - if (use_edge_mask && !edge_mask[e]) continue; - if (use_node_mask && (!node_mask[static_cast(u)] || !node_mask[static_cast(v)])) continue; - const Cap rem = has_residual ? residual[e] : cap[e]; - if (require_cap && rem < kMinCap) continue; - if (ws.dist[static_cast(v)] == kInf) continue; - bool present = false; - for (std::int32_t i = ws.succ_head[static_cast(u)]; i >= 0; i = ws.ent_next[static_cast(i)]) { - if (ws.ent_edge[static_cast(i)] == e_raw) { present = true; break; } - } - if (present) continue; - if (ws.dist[static_cast(u)] == kInf) ws.touched.push_back(u); - ws.append_succ(static_cast(u), v, e_raw); - if (ws.dist[static_cast(u)] == kInf) { - ws.dist[static_cast(u)] = static_cast(cost[e]) + ws.dist[static_cast(v)]; - } - } - - // Bucket successor entries (u -> v via e) by v into the forward PredDAG - // layout. Entries within a v range are ordered by ascending tail node, so a - // sparse pass must visit the touched tails in ascending order. - const bool sparse = sparse_reset(ws); - std::vector dist; - if (sparse) { - std::sort(ws.touched.begin(), ws.touched.end()); - dist.assign(static_cast(N), kInf); - for (auto v : ws.touched) dist[static_cast(v)] = ws.dist[static_cast(v)]; - } else { - dist = ws.dist; - } - PredDAG dag; - dag.parent_offsets.assign(static_cast(N+1), 0); - auto count = [&](std::int32_t u) { - for (std::int32_t i = ws.succ_head[static_cast(u)]; i >= 0; i = ws.ent_next[static_cast(i)]) { - dag.parent_offsets[static_cast(ws.ent_node[static_cast(i)]) + 1] += 1; - } - }; - if (sparse) { for (auto u : ws.touched) count(u); } - else { for (std::int32_t u = 0; u < N; ++u) count(u); } - for (std::size_t k = 1; k < dag.parent_offsets.size(); ++k) dag.parent_offsets[k] += dag.parent_offsets[k-1]; - dag.parents.resize(static_cast(dag.parent_offsets.back())); - dag.via_edges.resize(static_cast(dag.parent_offsets.back())); - std::vector cursor(dag.parent_offsets.begin(), dag.parent_offsets.end() - 1); - auto fill = [&](std::int32_t u) { - for (std::int32_t i = ws.succ_head[static_cast(u)]; i >= 0; i = ws.ent_next[static_cast(i)]) { - const auto v = static_cast(ws.ent_node[static_cast(i)]); - const auto pos = static_cast(cursor[v]++); - dag.parents[pos] = u; - dag.via_edges[pos] = ws.ent_edge[static_cast(i)]; - } - }; - if (sparse) { for (auto u : ws.touched) fill(u); } - else { for (std::int32_t u = 0; u < N; ++u) fill(u); } - return {std::move(dist), std::move(dag)}; -} - -} // namespace - -std::pair, PredDAG> -shortest_paths_to(const StrictMultiDiGraph& g, NodeId dst, - bool multipath, - const EdgeSelection& selection, - std::span residual, - std::span node_mask, - std::span edge_mask, - std::span fanout_edges, - SpfQueue queue) { - validate_spans("shortest_paths_to", g, residual, node_mask, edge_mask); - return shortest_paths_to_core(g, dst, multipath, selection, residual, node_mask, edge_mask, fanout_edges, queue); -} - -} // namespace netgraph::core diff --git a/src/strict_multidigraph.cpp b/src/strict_multidigraph.cpp index 546b5cf..5d3c4f7 100644 --- a/src/strict_multidigraph.cpp +++ b/src/strict_multidigraph.cpp @@ -1,165 +1,285 @@ /* - StrictMultiDiGraph — immutable directed multigraph with deterministic layout. + StrictMultiDiGraph: the one graph type on integer units (APPROACH 2.1, 3). - Construction from arrays validates inputs and builds CSR and reverse CSR - adjacency structures. Edges are reordered by (cost, src, dst) to cluster - equal-cost tiers for deterministic traversal. + Construction validates the inputs in the documented order, then orders the edges by the + stable key (src, cost, dst, input): a counting pass by src places every input position in + its source's bucket (input order kept), and each bucket is sorted by (cost, dst, input). The + rank in that order is the public EdgeId, so the out-edges of u are the id range + [row_offsets[u], row_offsets[u + 1]). The reverse CSR lists the in-edges of v in + (cost, src, input) order: a counting pass by dst over the ids, then each bucket sorted by + (cost, src, id). Within one destination, equal (cost, src) means equal (src, cost, dst), whose + ids are in input order, so (cost, src, id) is (cost, src, input). */ #include "netgraph/core/strict_multidigraph.hpp" #include +#include +#include +#include #include #include +#include +#include namespace netgraph::core { -StrictMultiDiGraph StrictMultiDiGraph::from_arrays( - std::int32_t num_nodes, - std::span src, - std::span dst, - std::span capacity, - std::span cost, - std::span ext_edge_ids) { +namespace { - if (num_nodes < 0) { - throw std::invalid_argument("num_nodes must be >= 0"); +std::atomic uid_counter {0}; + +std::uint64_t next_uid() noexcept { + return uid_counter.fetch_add(1, std::memory_order_relaxed) + 1; +} + +// The exponent k of a resolution q = 2^k with k in [-32, 32]. +int resolution_exponent(double q) { + if (!std::isfinite(q) || q <= 0.0) { + throw std::invalid_argument("resolution must be a power of two in [2^-32, 2^32]"); + } + int exp = 0; + const double mantissa = std::frexp(q, &exp); // q = mantissa * 2^exp, mantissa in [0.5, 1) + const int k = exp - 1; + if (mantissa != 0.5 || k < -32 || k > 32) { + throw std::invalid_argument("resolution must be a power of two in [2^-32, 2^32]"); + } + return k; +} + +} // namespace + +Amount to_units(double x, double resolution) { + const int k = resolution_exponent(resolution); + if (std::isnan(x)) { + throw std::invalid_argument("to_units: NaN has no unit value"); } - if (src.size() != dst.size() || src.size() != capacity.size() || src.size() != cost.size()) { - throw std::invalid_argument("src, dst, capacity, and cost must have the same length"); + if (std::isinf(x)) { + throw std::invalid_argument("to_units: an infinite amount is not finite and has no unit value"); } - if (!ext_edge_ids.empty() && ext_edge_ids.size() != src.size()) { - throw std::invalid_argument("ext_edge_ids must be empty or have the same length as src/dst/capacity/cost"); + if (x < 0.0) { + throw std::invalid_argument("to_units: a negative amount has no unit value"); } - StrictMultiDiGraph g; - g.num_nodes_ = num_nodes; - std::size_t m = src.size(); - if (m > static_cast(std::numeric_limits::max())) { - throw std::invalid_argument("number of edges exceeds INT32_MAX"); + // x / q is exact (q is a power of two) unless it overflows to infinity. + const double y = std::ldexp(x, -k); + constexpr double kTwo52 = 4503599627370496.0; // 2^52: doubles at or above it are integers + constexpr double kLimit = 4611686018427387904.0; // 2^62 + double r; + if (y >= kTwo52) { + r = y; + } else { + const double f = std::floor(y); + r = (y - f >= 0.5) ? f + 1.0 : f; // y - f is exact below 2^52: round half up + } + if (!(r < kLimit)) { + throw std::invalid_argument( + "to_units: the amount is at or above the bound of the units domain (2^62 units)"); } + return static_cast(r); +} - // Invariants: ids within [0, num_nodes), non-negative weights. - // SPF accumulates path costs as int64 without overflow checks and uses - // INT64_MAX as the unreachable sentinel, so the total of all edge costs - // (an upper bound on any simple path, and on one reverse-edge bounce) must - // stay below 2^62 or accumulated costs could wrap negative and silently - // corrupt results. - constexpr std::uint64_t kMaxTotalCost = (std::uint64_t{1} << 62); - std::uint64_t total_cost = 0; +double as_float(Amount x, double resolution) { + const int k = resolution_exponent(resolution); + return std::ldexp(static_cast(x), k); +} + +StrictMultiDiGraph::StrictMultiDiGraph(std::int32_t num_nodes, + std::span src, + std::span dst, + std::span capacity_units, + std::span cost, + double resolution) { + (void)resolution_exponent(resolution); + // The unit values. + for (std::size_t i = 0; i < capacity_units.size(); ++i) { + const Amount c = capacity_units[i]; + if (c < 0 || c >= kDomainLimit) { + throw std::invalid_argument("capacity_units[" + std::to_string(i) + "] = " + std::to_string(c) + + " is outside the units domain [0, 2^62)"); + } + } + // The array shapes. + if (num_nodes < 0) { + throw std::invalid_argument("num_nodes must be >= 0 (got " + std::to_string(num_nodes) + ")"); + } + const std::size_t m = src.size(); + if (dst.size() != m || capacity_units.size() != m || cost.size() != m) { + throw std::invalid_argument("src, dst, capacity_units and cost must have the same length (got " + + std::to_string(src.size()) + ", " + std::to_string(dst.size()) + ", " + + std::to_string(capacity_units.size()) + ", " + + std::to_string(cost.size()) + ")"); + } + if (m > static_cast(std::numeric_limits::max())) { + throw std::invalid_argument("the number of edges exceeds INT32_MAX (array length)"); + } + // Zero or negative costs (rule 28). Cost max_cost = 0; Cost cost_gcd = 0; for (std::size_t i = 0; i < m; ++i) { - if (src[i] < 0 || dst[i] < 0 || src[i] >= num_nodes || dst[i] >= num_nodes) { - throw std::out_of_range("edge index out of range of num_nodes"); - } - if (capacity[i] < 0.0) { - throw std::invalid_argument("capacity must be >= 0"); - } - if (cost[i] < 0) { throw std::invalid_argument("cost must be >= 0"); } - const auto c = static_cast(cost[i]); - if (c >= kMaxTotalCost - total_cost) { - throw std::invalid_argument( - "total edge cost must stay below 2^62: larger accumulated path costs " - "overflow int64 cost arithmetic and silently corrupt results"); + if (cost[i] < 1) { + throw std::invalid_argument("cost[" + std::to_string(i) + "] = " + std::to_string(cost[i]) + + ": costs must be positive (cost >= 1)"); } - total_cost += c; - if (cost[i] > max_cost) max_cost = cost[i]; + max_cost = std::max(max_cost, cost[i]); cost_gcd = std::gcd(cost_gcd, cost[i]); } - g.max_cost_ = max_cost; - g.cost_gcd_ = cost_gcd; - // Gather initial arrays - std::vector src_v(src.begin(), src.end()); - std::vector dst_v(dst.begin(), dst.end()); - std::vector cap_v(capacity.begin(), capacity.end()); - std::vector cost_v(cost.begin(), cost.end()); - std::vector ext_v; - if (!ext_edge_ids.empty()) { - ext_v.assign(ext_edge_ids.begin(), ext_edge_ids.end()); - } - - // Sort edges by (cost, src, dst) to cluster equal-cost tiers for deterministic traversal. - // Create an index array [0, 1, 2, ..., m-1] that we'll permute to define the reordering. - std::vector idx(m); - std::iota(idx.begin(), idx.end(), 0); // iota fills with sequential values - - // Cost-first ordering keeps equal-cost tiers clustered; within the same - // cost, maintain stable source/destination ordering for reproducibility. - // stable_sort preserves relative order of equal elements, ensuring determinism. - // Lambda comparator: [&] captures variables by reference, (a, b) are indices to compare. - std::stable_sort(idx.begin(), idx.end(), [&](std::size_t a, std::size_t b) { - if (cost_v[a] != cost_v[b]) return cost_v[a] < cost_v[b]; - if (src_v[a] != src_v[b]) return src_v[a] < src_v[b]; - return dst_v[a] < dst_v[b]; - }); - - // Reorder all edge arrays using the computed permutation. - // Generic lambda (auto parameters) works with any vector type. - auto apply_perm = [&](auto& out_vec, const auto& in_vec) { - out_vec.resize(m); - for (std::size_t i = 0; i < m; ++i) out_vec[i] = in_vec[idx[i]]; - }; - apply_perm(g.src_, src_v); - apply_perm(g.dst_, dst_v); - apply_perm(g.capacity_, cap_v); - apply_perm(g.cost_, cost_v); - if (!ext_v.empty()) { - apply_perm(g.ext_edge_ids_, ext_v); - } - g.edges_ = m; - - // Build CSR (Compressed Sparse Row) adjacency structure. - // For each node u, row_offsets_[u]:row_offsets_[u+1] gives the range in col_indices_ - // that stores u's outgoing neighbors, and adj_edge_index_ stores the corresponding EdgeIds. - - // Step 1: Count outgoing edges per node (histogram). - g.row_offsets_.assign(static_cast(num_nodes) + 1, 0); + // The remaining bounds. for (std::size_t i = 0; i < m; ++i) { - g.row_offsets_[static_cast(g.src_[i]) + 1]++; + if (src[i] < 0 || src[i] >= num_nodes || dst[i] < 0 || dst[i] >= num_nodes) { + throw std::invalid_argument("edge " + std::to_string(i) + ": endpoint (" + std::to_string(src[i]) + + ", " + std::to_string(dst[i]) + ") out of node range [0, " + + std::to_string(num_nodes) + ")"); + } } - - // Step 2: Convert counts to cumulative offsets (prefix sum). - // row_offsets_[u] is the starting index for node u's adjacency list. - for (std::size_t i = 1; i < g.row_offsets_.size(); ++i) { - g.row_offsets_[i] += g.row_offsets_[i - 1]; + constexpr auto kLimit = static_cast(kDomainLimit); + std::uint64_t cap_sum = 0; + std::uint64_t cost_sum = 0; + for (std::size_t i = 0; i < m; ++i) { + cap_sum += static_cast(capacity_units[i]); // each < 2^62: no wrap before the check + if (cap_sum >= kLimit) { + throw std::invalid_argument("the sum of all capacities reaches the bound of the units domain (2^62 units)"); + } + cost_sum += static_cast(cost[i]); + if (cost_sum >= kLimit) { + throw std::invalid_argument( + "the sum of all edge costs reaches the bound 2^62: path costs would overflow int64"); + } } - // Step 3: Fill col_indices_ and adj_edge_index_ arrays. - g.col_indices_.resize(m); - g.adj_edge_index_.resize(m); - // cursor tracks the current write position for each node's adjacency list. - std::vector cursor = g.row_offsets_; // copy for in-place filling + uid_ = next_uid(); + resolution_ = resolution; + num_nodes_ = num_nodes; + max_cost_ = max_cost; + cost_gcd_ = cost_gcd; + const auto n = static_cast(num_nodes); + + // Ids: rank in (src, cost, dst, input). + row_offsets_.assign(n + 1, 0); + for (std::size_t i = 0; i < m; ++i) ++row_offsets_[static_cast(src[i]) + 1]; + for (std::size_t u = 0; u < n; ++u) row_offsets_[u + 1] += row_offsets_[u]; + input_index_.resize(m); + { + std::vector cursor(row_offsets_.begin(), row_offsets_.end() - 1); + for (std::size_t i = 0; i < m; ++i) { + input_index_[static_cast(cursor[static_cast(src[i])]++)] = + static_cast(i); + } + } + for (std::size_t u = 0; u < n; ++u) { + auto first = input_index_.begin() + row_offsets_[u]; + auto last = input_index_.begin() + row_offsets_[u + 1]; + if (last - first < 2) continue; + std::sort(first, last, [&](std::int32_t a, std::int32_t b) { + const auto ia = static_cast(a); + const auto ib = static_cast(b); + if (cost[ia] != cost[ib]) return cost[ia] < cost[ib]; + if (dst[ia] != dst[ib]) return dst[ia] < dst[ib]; + return a < b; + }); + } + capacity_.resize(m); + cost_.resize(m); + src_.resize(m); + dst_.resize(m); for (std::size_t e = 0; e < m; ++e) { - auto u = g.src_[e]; - auto pos = static_cast(cursor[static_cast(u)]++); - g.col_indices_[pos] = g.dst_[e]; // neighbor node - g.adj_edge_index_[pos] = static_cast(e); // edge index + const auto i = static_cast(input_index_[e]); + capacity_[e] = capacity_units[i]; + cost_[e] = cost[i]; + src_[e] = src[i]; + dst_[e] = dst[i]; } - // Build reverse CSR (incoming adjacency) for predecessor tracking. - // Same CSR construction algorithm, but keyed by destination node instead of source. - // This enables efficient lookup of incoming edges for any node. - // Step 1: Count incoming edges per node. - g.in_row_offsets_.assign(static_cast(num_nodes) + 1, 0); - for (std::size_t i = 0; i < m; ++i) { - g.in_row_offsets_[static_cast(g.dst_[i]) + 1]++; + // Reverse CSR in (cost, src, input) order. + in_row_offsets_.assign(n + 1, 0); + for (std::size_t e = 0; e < m; ++e) ++in_row_offsets_[static_cast(dst_[e]) + 1]; + for (std::size_t v = 0; v < n; ++v) in_row_offsets_[v + 1] += in_row_offsets_[v]; + in_adj_edge_index_.resize(m); + { + std::vector cursor(in_row_offsets_.begin(), in_row_offsets_.end() - 1); + for (std::size_t e = 0; e < m; ++e) { + in_adj_edge_index_[static_cast(cursor[static_cast(dst_[e])]++)] = + static_cast(e); + } } - - // Step 2: Convert counts to cumulative offsets. - for (std::size_t i = 1; i < g.in_row_offsets_.size(); ++i) { - g.in_row_offsets_[i] += g.in_row_offsets_[i - 1]; + for (std::size_t v = 0; v < n; ++v) { + auto first = in_adj_edge_index_.begin() + in_row_offsets_[v]; + auto last = in_adj_edge_index_.begin() + in_row_offsets_[v + 1]; + if (last - first < 2) continue; + std::sort(first, last, [&](EdgeId a, EdgeId b) { + const auto ia = static_cast(a); + const auto ib = static_cast(b); + if (cost_[ia] != cost_[ib]) return cost_[ia] < cost_[ib]; + if (src_[ia] != src_[ib]) return src_[ia] < src_[ib]; + return a < b; + }); } +} - // Step 3: Fill reverse adjacency arrays. - g.in_col_indices_.resize(m); - g.in_adj_edge_index_.resize(m); - std::vector rcursor = g.in_row_offsets_; - for (std::size_t e = 0; e < m; ++e) { - auto v = g.dst_[e]; - auto pos = static_cast(rcursor[static_cast(v)]++); - g.in_col_indices_[pos] = g.src_[e]; // predecessor node - g.in_adj_edge_index_[pos] = static_cast(e); +StrictMultiDiGraph::StrictMultiDiGraph(const StrictMultiDiGraph& other) + : uid_(next_uid()), + resolution_(other.resolution_), + num_nodes_(other.num_nodes_), + max_cost_(other.max_cost_), + cost_gcd_(other.cost_gcd_), + capacity_(other.capacity_), + cost_(other.cost_), + src_(other.src_), + dst_(other.dst_), + input_index_(other.input_index_), + row_offsets_(other.row_offsets_), + in_row_offsets_(other.in_row_offsets_), + in_adj_edge_index_(other.in_adj_edge_index_) {} + +StrictMultiDiGraph::StrictMultiDiGraph(StrictMultiDiGraph&& other) noexcept + : uid_(std::exchange(other.uid_, 0)), + resolution_(other.resolution_), + num_nodes_(std::exchange(other.num_nodes_, 0)), + max_cost_(std::exchange(other.max_cost_, 0)), + cost_gcd_(std::exchange(other.cost_gcd_, 0)), + capacity_(std::move(other.capacity_)), + cost_(std::move(other.cost_)), + src_(std::move(other.src_)), + dst_(std::move(other.dst_)), + input_index_(std::move(other.input_index_)), + row_offsets_(std::move(other.row_offsets_)), + in_row_offsets_(std::move(other.in_row_offsets_)), + in_adj_edge_index_(std::move(other.in_adj_edge_index_)) { + other.row_offsets_.assign(1, 0); + other.in_row_offsets_.assign(1, 0); +} + +Eligibility StrictMultiDiGraph::eligibility(std::span excluded_nodes, + std::span excluded_edges) const { + const auto n = static_cast(num_nodes_); + const auto m = capacity_.size(); + for (NodeId v : excluded_nodes) { + if (v < 0 || static_cast(v) >= n) { + throw std::invalid_argument("excluded node " + std::to_string(v) + " out of node range [0, " + + std::to_string(n) + ")"); + } + } + for (EdgeId e : excluded_edges) { + if (e < 0 || static_cast(e) >= m) { + throw std::invalid_argument("excluded edge " + std::to_string(e) + " out of edge range [0, " + + std::to_string(m) + ")"); + } + } + Eligibility el; + el.graph_uid_ = uid_; + el.node_allowed_.assign(n, 1); + el.edge_allowed_.assign(m, 1); + for (EdgeId e : excluded_edges) el.edge_allowed_[static_cast(e)] = 0; + for (NodeId v : excluded_nodes) { + const auto vi = static_cast(v); + if (el.node_allowed_[vi] == 0) continue; // duplicate + el.node_allowed_[vi] = 0; + for (auto e = row_offsets_[vi]; e < row_offsets_[vi + 1]; ++e) { + el.edge_allowed_[static_cast(e)] = 0; + } + for (auto s = in_row_offsets_[vi]; s < in_row_offsets_[vi + 1]; ++s) { + el.edge_allowed_[static_cast(in_adj_edge_index_[static_cast(s)])] = 0; + } } - return g; + el.uid_ = (excluded_nodes.empty() && excluded_edges.empty()) ? 0 : next_uid(); + return el; } } // namespace netgraph::core diff --git a/tests/cpp/flow_graph_tests.cpp b/tests/cpp/flow_graph_tests.cpp deleted file mode 100644 index bac6bf7..0000000 --- a/tests/cpp/flow_graph_tests.cpp +++ /dev/null @@ -1,332 +0,0 @@ -#include -#include -#include "netgraph/core/flow_graph.hpp" -#include "netgraph/core/shortest_paths.hpp" -#include "netgraph/core/strict_multidigraph.hpp" -#include "test_utils.hpp" - -using namespace netgraph::core; -using namespace netgraph::core::test; - -TEST(FlowGraph, EmptyLedgerInitially) { - auto g = make_line_graph(3); - FlowGraph fg(g); - - FlowIndex idx{0, 2, 0, 0}; - auto edges = fg.get_flow_edges(idx); - - EXPECT_TRUE(edges.empty()); -} - -TEST(FlowGraph, PlacementCreatesEntry) { - auto g = make_line_graph(3); - FlowGraph fg(g); - - // Get shortest path - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - sel.tie_break = EdgeTieBreak::Deterministic; - auto [dist, dag] = shortest_paths(g, 0, std::nullopt, true, sel, {}, {}, {}); - - FlowIndex idx{0, 2, 0, 0}; - Flow placed = fg.place(idx, 0, 2, dag, 0.5, FlowPlacement::Proportional); - - EXPECT_GT(placed, 0.0); - - auto edges = fg.get_flow_edges(idx); - EXPECT_FALSE(edges.empty()); -} - -TEST(FlowGraph, RemovalDeletesEntry) { - auto g = make_line_graph(3); - FlowGraph fg(g); - - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - sel.tie_break = EdgeTieBreak::Deterministic; - auto [dist, dag] = shortest_paths(g, 0, std::nullopt, true, sel, {}, {}, {}); - - FlowIndex idx{0, 2, 0, 0}; - Flow placed = fg.place(idx, 0, 2, dag, 0.5, FlowPlacement::Proportional); - EXPECT_GT(placed, 0.0); - - EXPECT_FALSE(fg.get_flow_edges(idx).empty()); - - fg.remove(idx); - - EXPECT_TRUE(fg.get_flow_edges(idx).empty()); -} - -TEST(FlowGraph, RemoveByClassFiltersCorrectly) { - auto g = make_line_graph(3); - FlowGraph fg(g); - - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - sel.tie_break = EdgeTieBreak::Deterministic; - auto [dist, dag] = shortest_paths(g, 0, std::nullopt, true, sel, {}, {}, {}); - - // Create flows with different classes - FlowIndex idx1{0, 2, 10, 0}; - FlowIndex idx2{0, 2, 20, 1}; - FlowIndex idx3{0, 2, 10, 2}; - - (void)fg.place(idx1, 0, 2, dag, 0.5, FlowPlacement::Proportional); - (void)fg.place(idx2, 0, 2, dag, 0.5, FlowPlacement::Proportional); - (void)fg.place(idx3, 0, 2, dag, 0.5, FlowPlacement::Proportional); - - // Remove flows of class 10 - fg.remove_by_class(10); - - // idx1 and idx3 should be removed (class 10) - EXPECT_TRUE(fg.get_flow_edges(idx1).empty()); - EXPECT_TRUE(fg.get_flow_edges(idx3).empty()); - - // idx2 should remain (class 20) - EXPECT_FALSE(fg.get_flow_edges(idx2).empty()); -} - -TEST(FlowGraph, GetFlowEdgesReturnsDeltas) { - auto g = make_line_graph(3); - FlowGraph fg(g); - - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - sel.tie_break = EdgeTieBreak::Deterministic; - auto [dist, dag] = shortest_paths(g, 0, std::nullopt, true, sel, {}, {}, {}); - - FlowIndex idx{0, 2, 0, 0}; - Flow placed = fg.place(idx, 0, 2, dag, 0.5, FlowPlacement::Proportional); - - auto edges = fg.get_flow_edges(idx); - - // Should have entries for edges used in the path - EXPECT_GT(edges.size(), 0); - - // Total flow across all edges should match placed amount times path length - double total = 0.0; - for (const auto& [eid, flow] : edges) { - EXPECT_GE(flow, 0.0); - total += flow; - } - EXPECT_NEAR(total, placed * 2, 1e-9); // Two edges in path -} - -TEST(FlowGraph, GetFlowPathForLinearFlow) { - auto g = make_line_graph(3); - FlowGraph fg(g); - - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - sel.tie_break = EdgeTieBreak::Deterministic; - auto [dist, dag] = shortest_paths(g, 0, std::nullopt, true, sel, {}, {}, {}); - - FlowIndex idx{0, 2, 0, 0}; - Flow placed = fg.place(idx, 0, 2, dag, 0.5, FlowPlacement::Proportional); - EXPECT_GT(placed, 0.0); - - auto path = fg.get_flow_path(idx); - - // Should find a simple path with 2 edges - EXPECT_EQ(path.size(), 2); -} - -TEST(FlowGraph, GetFlowPathForDAGReturnsEmpty) { - // Create a graph with two disjoint equal-cost paths: 0->1->2 and 0->3->2 - // When flow splits proportionally across both paths, get_flow_path should - // return empty (since there's no single simple path) - std::int32_t src[4] = {0, 1, 0, 3}; - std::int32_t dst[4] = {1, 2, 3, 2}; - double cap[4] = {1.0, 1.0, 1.0, 1.0}; - std::int64_t cost[4] = {1, 1, 1, 1}; - - auto g = StrictMultiDiGraph::from_arrays(4, - std::span(src, 4), std::span(dst, 4), - std::span(cap, 4), std::span(cost, 4)); - - FlowGraph fg(g); - - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - sel.tie_break = EdgeTieBreak::Deterministic; - auto [dist, dag] = shortest_paths(g, 0, std::nullopt, true, sel, {}, {}, {}); - - FlowIndex idx{0, 2, 0, 0}; - // Place 2.0 units - should split across both paths (1.0 each) - Flow placed = fg.place(idx, 0, 2, dag, 2.0, FlowPlacement::Proportional); - EXPECT_GT(placed, 0.0); - - auto path = fg.get_flow_path(idx); - - // get_flow_path should return empty when flow is split across multiple paths - // (it only returns a simple path if one exists) - EXPECT_TRUE(path.empty()) << "Expected empty path for split flow, got " << path.size() << " edges"; -} - -TEST(FlowGraph, CoalescesDuplicateEdgeIds) { - // Create graph with parallel edges - std::int32_t src[3] = {0, 1, 1}; - std::int32_t dst[3] = {1, 2, 2}; - double cap[3] = {10.0, 1.0, 1.0}; - std::int64_t cost[3] = {1, 1, 1}; - - auto g = StrictMultiDiGraph::from_arrays(3, - std::span(src, 3), std::span(dst, 3), - std::span(cap, 3), std::span(cost, 3)); - - FlowGraph fg(g); - - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - sel.tie_break = EdgeTieBreak::Deterministic; - auto [dist, dag] = shortest_paths(g, 0, std::nullopt, true, sel, {}, {}, {}); - - FlowIndex idx{0, 2, 0, 0}; - (void)fg.place(idx, 0, 2, dag, 2.0, FlowPlacement::Proportional); - - auto edges = fg.get_flow_edges(idx); - - // Check that no EdgeId appears more than once - std::set seen; - for (const auto& [eid, flow] : edges) { - EXPECT_EQ(seen.count(eid), 0) << "Duplicate EdgeId " << eid; - seen.insert(eid); - } -} - -TEST(FlowGraph, LedgerHistory_RemovalRestoresResidual) { - // edges: 0->1, 1->2 (both cap=1.0) - auto g = make_line_graph(3); - FlowGraph fg(g); - - // Build DAG once - EdgeSelection sel; sel.multi_edge = true; sel.require_capacity = false; sel.tie_break = EdgeTieBreak::Deterministic; - auto sp = shortest_paths(g, 0, 2, /*multipath=*/true, sel, {}, {}, {}); - const PredDAG& dag = sp.second; - - FlowIndex idx{0, 2, 42, 7}; - - // Two placements on same flow - Flow p1 = fg.place(idx, 0, 2, dag, 0.4, FlowPlacement::Proportional); - Flow p2 = fg.place(idx, 0, 2, dag, 0.5, FlowPlacement::Proportional); - ASSERT_GT(p1, 0.0); - ASSERT_GT(p2, 0.0); - - // Remove the flow (should restore both p1 and p2 if ledger retained history) - fg.remove(idx); - - auto cap = g.capacity_view(); - auto res = fg.residual_view(); - ASSERT_EQ(res.size(), static_cast(g.num_edges())); - - // Expect residual to be fully restored to capacity if removal undid entire history - for (std::size_t i = 0; i < res.size(); ++i) { - EXPECT_NEAR(res[i], cap[i], 1e-9) << "Residual not fully restored at edge " << i; - } -} - -TEST(FlowGraph, LedgerMicroFlows_RemovalRestoresResidual) { - // Split 1.0 unit equally over many parallel edges so per-edge share is < kMinFlow. - const int parallel = 5000; // 1.0 / 5000 < kMinFlow (1/4096) - std::vector src(parallel), dst(parallel); - std::vector cap(parallel, 1.0); - std::vector cost(parallel, 1); - for (int i = 0; i < parallel; ++i) { src[i] = 0; dst[i] = 1; } - auto g = StrictMultiDiGraph::from_arrays(2, src, dst, cap, cost); - - FlowGraph fg(g); - EdgeSelection sel; sel.multi_edge = true; sel.require_capacity = false; sel.tie_break = EdgeTieBreak::Deterministic; - auto sp = shortest_paths(g, 0, 1, /*multipath=*/true, sel, {}, {}, {}); - const PredDAG& dag = sp.second; - - FlowIndex idx{0, 1, 1, 1}; - - // Place 1.0 evenly across many parallels; per-edge contribution < kMinFlow - Flow placed = fg.place(idx, 0, 1, dag, 1.0, FlowPlacement::EqualBalanced); - ASSERT_NEAR(placed, 1.0, 1e-9); - - // Ledger must record all deltas, including micro-flows smaller than kMinFlow - auto edges = fg.get_flow_edges(idx); - EXPECT_FALSE(edges.empty()) << "Ledger should record micro-deltas even when per-edge < kMinFlow"; - - // Removing the flow should fully restore residual capacity with no drift - auto capv = g.capacity_view(); - fg.remove(idx); - auto res_after = fg.residual_view(); - ASSERT_EQ(res_after.size(), static_cast(g.num_edges())); - for (std::size_t i = 0; i < res_after.size(); ++i) { - EXPECT_NEAR(res_after[i], capv[i], 1e-9) << "Residual not restored at edge " << i; - } -} - -// state_stamp() uids must be unique per reachable instance. A copy that shared -// the source's uid could diverge by the same number of mutations and then -// present an equal stamp over different residual content, which would let -// FlowPolicy's SPF memo fast path serve a DAG cached for the other object. -// Moved-from FlowGraphs remain valid and mutable, so moves must not share the -// uid either. -TEST(FlowGraphStamp, CopiesAndMovesGetFreshUids) { - auto g = make_square_graph(1); - FlowGraph a(g); - const auto uid_a = a.state_stamp().uid; - - FlowGraph b(a); // copy ctor - EXPECT_NE(b.state_stamp().uid, uid_a); - - FlowGraph c(g); - c = a; // copy assign - EXPECT_NE(c.state_stamp().uid, uid_a); - EXPECT_NE(c.state_stamp().uid, b.state_stamp().uid); - - FlowGraph d(std::move(b)); // move ctor - EXPECT_NE(d.state_stamp().uid, uid_a); - - FlowGraph e(g); - e = std::move(c); // move assign - EXPECT_NE(e.state_stamp().uid, uid_a); -} - -// The end-to-end failure the uid rule prevents: two copies mutated the same -// NUMBER of times (equal versions) but with different content must never -// satisfy the stamp fast path. Equal-version divergence is exactly the case a -// shared uid would get wrong. -TEST(FlowGraphStamp, EqualVersionDivergentCopiesCompareUnequal) { - auto g = make_square_graph(1); // 0->1->2 cheap, 0->3->2 expensive - FlowGraph a(g); - FlowGraph b(a); - - // One mutation each (same version count), different targets. - PredDAG cheap = make_path_dag(g, std::array{0, 1}); - PredDAG dear = make_path_dag(g, std::array{2, 3}); - FlowIndex idx{0, 2, 0, 0}; - (void)a.place(idx, 0, 2, cheap, 0.5, FlowPlacement::Proportional); - (void)b.place(idx, 0, 2, dear, 0.5, FlowPlacement::Proportional); - - EXPECT_FALSE(a.state_stamp() == b.state_stamp()); -} - -TEST(FlowGraph, HopBundleCarriesEveryParallelEdge) { - // Four parallel 10-unit links 0 -> 1, then 1 -> 2 (100). A route pinned to one - // edge carries 10; the same hop pinned as a bundle carries 40. - std::vector src = {0, 0, 0, 0, 1}, dst = {1, 1, 1, 1, 2}; - std::vector cap = {10, 10, 10, 10, 100}; - std::vector cost = {1, 1, 1, 1, 1}; - auto g = StrictMultiDiGraph::from_arrays(3, src, dst, cap, cost); - auto one = make_path_dag(g, std::array{0, 4}); - auto bundle = make_hops_dag(g, std::vector>{{0, 1, 2, 3}, {4}}); - FlowGraph fg(g); - const FlowIndex a{0, 2, 0, 1}, b{0, 2, 0, 2}; - EXPECT_DOUBLE_EQ(fg.place(a, 0, 2, one, 100.0, FlowPlacement::Proportional), 10.0); - fg.remove(a); - EXPECT_DOUBLE_EQ(fg.place(b, 0, 2, bundle, 100.0, FlowPlacement::Proportional), 40.0); - const auto flows = fg.edge_flow_view(); - for (std::size_t e = 0; e < 4; ++e) EXPECT_DOUBLE_EQ(flows[e], 10.0); - EXPECT_DOUBLE_EQ(flows[4], 40.0); -} diff --git a/tests/cpp/flow_policy_tests.cpp b/tests/cpp/flow_policy_tests.cpp deleted file mode 100644 index ac2b499..0000000 --- a/tests/cpp/flow_policy_tests.cpp +++ /dev/null @@ -1,507 +0,0 @@ -#include - -#include "netgraph/core/flow_graph.hpp" -#include "netgraph/core/flow_policy.hpp" -#include "netgraph/core/backend.hpp" -#include "netgraph/core/algorithms.hpp" -#include "netgraph/core/strict_multidigraph.hpp" -#include "netgraph/core/types.hpp" -#include "test_utils.hpp" - -using namespace netgraph::core; - -namespace { - -StrictMultiDiGraph make_square1() { - // Nodes: 0:A, 1:B, 2:C, 3:D - // Edges: - // 0: A->B cap=1 cost=1 - // 1: B->C cap=1 cost=1 - // 2: A->D cap=2 cost=2 - // 3: D->C cap=2 cost=2 - std::int32_t num_nodes = 4; - std::int32_t src_arr[4] = {0, 1, 0, 3}; - std::int32_t dst_arr[4] = {1, 2, 3, 2}; - double cap_arr[4] = {1.0, 1.0, 2.0, 2.0}; - std::int64_t cost_arr[4] = {1, 1, 2, 2}; - std::int64_t ext_arr[4] = {0, 1, 2, 3}; - std::span src(src_arr, 4); - std::span dst(dst_arr, 4); - std::span cap(cap_arr, 4); - std::span cost(cost_arr, 4); - std::span ext(ext_arr, 4); - return StrictMultiDiGraph::from_arrays(num_nodes, src, dst, cap, cost, ext); -} - -StrictMultiDiGraph make_line1() { - // Nodes: 0:A, 1:B, 2:C - // Edges forward: - // A->B cap=5 cost=1 - // B->C cap=1 cost=1 - // B->C cap=3 cost=1 - // B->C cap=7 cost=2 - std::int32_t num_nodes = 3; - std::int32_t src_arr[4] = {0, 1, 1, 1}; - std::int32_t dst_arr[4] = {1, 2, 2, 2}; - double cap_arr[4] = {5.0, 1.0, 3.0, 7.0}; - std::int64_t cost_arr[4] = {1, 1, 1, 2}; - std::int64_t ext_arr[4] = {0, 1, 2, 3}; - std::span src(src_arr, 4); - std::span dst(dst_arr, 4); - std::span cap(cap_arr, 4); - std::span cost(cost_arr, 4); - std::span ext(ext_arr, 4); - return StrictMultiDiGraph::from_arrays(num_nodes, src, dst, cap, cost, ext); -} - -StrictMultiDiGraph make_square3() { - // Nodes: 0:A, 1:B, 2:C, 3:D - // A->B 100@1, B->C 125@1, A->D 75@1, D->C 50@1 - std::int32_t num_nodes = 4; - std::int32_t src_arr[4] = {0, 1, 0, 3}; - std::int32_t dst_arr[4] = {1, 2, 3, 2}; - double cap_arr[4] = {100.0, 125.0, 75.0, 50.0}; - std::int64_t cost_arr[4] = {1, 1, 1, 1}; - std::int64_t ext_arr[4] = {0, 1, 2, 3}; - std::span src(src_arr, 4); - std::span dst(dst_arr, 4); - std::span cap(cap_arr, 4); - std::span cost(cost_arr, 4); - std::span ext(ext_arr, 4); - return StrictMultiDiGraph::from_arrays(num_nodes, src, dst, cap, cost, ext); -} - -void expect_edge_flows_by_uv(const FlowGraph& fg, std::initializer_list> exp) { - const auto& g = fg.graph(); - auto row = g.row_offsets_view(); - auto col = g.col_indices_view(); - auto aei = g.adj_edge_index_view(); - // Build map EdgeId->flow - auto ef = fg.edge_flow_view(); - // Check each expected (u,v,flow) - // When a (u,v) pair appears multiple times, advance through successive edges - // in the adjacency row to validate each parallel edge in order. - std::map, std::size_t> cursor; - for (auto [u, v, expected] : exp) { - bool found = false; - // Scan adjacency row for (u->v) - auto s = static_cast(row[static_cast(u)]); - auto e = static_cast(row[static_cast(u)+1]); - std::size_t start = s; - auto key = std::make_pair(u, v); - if (auto it = cursor.find(key); it != cursor.end()) start = it->second; - for (std::size_t j = start; j < e; ++j) { - if (static_cast(col[j]) == v) { - auto eid = static_cast(aei[j]); - EXPECT_NEAR(static_cast(ef[eid]), expected, 1e-9) << "edge (" << u << "," << v << ")"; - cursor[key] = j + 1; // subsequent matches continue after this position - found = true; - break; - } - } - ASSERT_TRUE(found) << "edge (" << u << "," << v << ") not found"; - } -} - -} - -TEST(FlowPolicyCore, Proportional_SingleDemand_UsesShortestPath) { - auto g = make_square1(); - FlowGraph fg(g); - EdgeSelection sel; sel.multi_edge = true; sel.require_capacity = true; sel.tie_break = EdgeTieBreak::Deterministic; - auto be = make_cpu_backend(); auto algs = std::make_shared(be); auto gh = algs->build_graph(g); - ExecutionContext ctx(algs, gh); - FlowPolicyConfig cfg; - cfg.flow_placement = FlowPlacement::Proportional; - cfg.selection = sel; - cfg.require_capacity = true; - FlowPolicy policy(ctx, cfg); - auto res = policy.place_demand(fg, /*src=*/0, /*dst=*/2, /*flowClass=*/0, /*volume=*/1.0); - EXPECT_NEAR(res.first, 1.0, 1e-9); - EXPECT_NEAR(res.second, 0.0, 1e-9); - expect_edge_flows_by_uv(fg, {{0,1,1.0}, {1,2,1.0}, {0,3,0.0}, {3,2,0.0}}); -} - -TEST(FlowPolicyCore, Proportional_SingleDemand_SplitsAcrossTwoEqualCostPaths) { - auto g = make_square1(); - FlowGraph fg(g); - EdgeSelection sel; sel.multi_edge = true; sel.require_capacity = true; sel.tie_break = EdgeTieBreak::Deterministic; - auto be = make_cpu_backend(); auto algs = std::make_shared(be); auto gh = algs->build_graph(g); - ExecutionContext ctx(algs, gh); - FlowPolicyConfig cfg; - cfg.flow_placement = FlowPlacement::Proportional; - cfg.selection = sel; - cfg.require_capacity = true; - FlowPolicy policy(ctx, cfg); - auto res = policy.place_demand(fg, 0, 2, 0, 2.0); - EXPECT_NEAR(res.first, 2.0, 1e-9); - EXPECT_NEAR(res.second, 0.0, 1e-9); - expect_edge_flows_by_uv(fg, {{0,1,1.0}, {1,2,1.0}, {0,3,1.0}, {3,2,1.0}}); -} - -TEST(FlowPolicyCore, Proportional_SingleDemand_MaxFlowCount1_UsesSinglePath) { - auto g = make_square1(); - FlowGraph fg(g); - EdgeSelection sel; sel.multi_edge = true; sel.require_capacity = true; sel.tie_break = EdgeTieBreak::Deterministic; - auto be = make_cpu_backend(); auto algs = std::make_shared(be); auto gh = algs->build_graph(g); - ExecutionContext ctx(algs, gh); - FlowPolicyConfig cfg; - cfg.flow_placement = FlowPlacement::Proportional; - cfg.selection = sel; - cfg.require_capacity = true; - cfg.multipath = false; - cfg.min_flow_count = 1; - cfg.max_flow_count = 1; - FlowPolicy policy(ctx, cfg); - auto res = policy.place_demand(fg, 0, 2, 0, 2.0); - EXPECT_NEAR(res.first, 2.0, 1e-9); - EXPECT_NEAR(res.second, 0.0, 1e-9); - expect_edge_flows_by_uv(fg, {{0,1,0.0}, {1,2,0.0}, {0,3,2.0}, {3,2,2.0}}); -} - -TEST(FlowPolicyCore, Proportional_SingleDemand_PartialPlacement_InsufficientCapacity) { - auto g = make_square1(); - FlowGraph fg(g); - EdgeSelection sel; sel.multi_edge = true; sel.require_capacity = true; sel.tie_break = EdgeTieBreak::Deterministic; - auto be = make_cpu_backend(); auto algs = std::make_shared(be); auto gh = algs->build_graph(g); - ExecutionContext ctx(algs, gh); - FlowPolicyConfig cfg; - cfg.flow_placement = FlowPlacement::Proportional; - cfg.selection = sel; - cfg.require_capacity = true; - FlowPolicy policy(ctx, cfg); - auto res = policy.place_demand(fg, 0, 2, 0, 5.0); - EXPECT_NEAR(res.first, 3.0, 1e-9); - EXPECT_NEAR(res.second, 2.0, 1e-9); - expect_edge_flows_by_uv(fg, {{0,1,1.0}, {1,2,1.0}, {0,3,2.0}, {3,2,2.0}}); -} - -TEST(FlowPolicyCore, EqualBalanced_SingleDemand_FlowCount2_BalancedDistribution) { - auto g = make_line1(); - FlowGraph fg(g); - EdgeSelection sel; sel.multi_edge = false; sel.require_capacity = true; sel.tie_break = EdgeTieBreak::Deterministic; - auto be = make_cpu_backend(); auto algs = std::make_shared(be); auto gh = algs->build_graph(g); - ExecutionContext ctx(algs, gh); - FlowPolicyConfig cfg; - cfg.flow_placement = FlowPlacement::EqualBalanced; - cfg.selection = sel; - cfg.require_capacity = true; - cfg.min_flow_count = 2; - cfg.max_flow_count = 2; - FlowPolicy policy(ctx, cfg); - auto res = policy.place_demand(fg, 0, 2, 0, 7.0); - EXPECT_NEAR(res.first, 4.0, 1e-9); - EXPECT_NEAR(res.second, 3.0, 1e-9); - // A->B: 4, B->C: cap1 gets 1.0, cap3 gets 3.0, cap7(cost2) unused - expect_edge_flows_by_uv(fg, {{0,1,4.0}, {1,2,1.0}, {1,2,3.0}, {1,2,0.0}}); -} - -TEST(FlowPolicyCore, EqualBalanced_SingleDemand_FlowCount3_SaturatesBothPaths) { - // Graph: A->B (cap 100), B->C (cap 125), A->D (cap 75), D->C (cap 50) - // Two equal-cost paths exist with capacities 100 (A->B->C) and 50 (A->D->C). - // EqualBalanced with 3 flows should saturate both paths for a total of 150, - // leaving 50 unplaced out of the 200 requested. - auto g = make_square3(); - FlowGraph fg(g); - EdgeSelection sel; sel.multi_edge = false; sel.require_capacity = true; sel.tie_break = EdgeTieBreak::Deterministic; - auto be = make_cpu_backend(); auto algs = std::make_shared(be); auto gh = algs->build_graph(g); - ExecutionContext ctx(algs, gh); - FlowPolicyConfig cfg; - cfg.flow_placement = FlowPlacement::EqualBalanced; - cfg.selection = sel; - cfg.require_capacity = true; - cfg.min_flow_count = 3; - cfg.max_flow_count = 3; - FlowPolicy policy(ctx, cfg); - auto res = policy.place_demand(fg, 0, 2, 0, 200.0); - EXPECT_NEAR(res.first, 150.0, 1e-9); - EXPECT_NEAR(res.second, 50.0, 1e-9); - // Path A->B->C carries 100, A->D->C carries 50 - expect_edge_flows_by_uv(fg, {{0,1,100.0}, {1,2,100.0}, {0,3,50.0}, {3,2,50.0}}); -} - -TEST(FlowPolicyCore, DiminishingReturnsCutoff) { - auto g = make_line1(); - FlowGraph fg(g); - EdgeSelection sel; sel.multi_edge = true; sel.require_capacity = false; sel.tie_break = EdgeTieBreak::Deterministic; - auto be = make_cpu_backend(); auto algs = std::make_shared(be); auto gh = algs->build_graph(g); - ExecutionContext ctx(algs, gh); - FlowPolicyConfig cfg; - cfg.flow_placement = FlowPlacement::EqualBalanced; - cfg.selection = sel; - cfg.require_capacity = true; - cfg.multipath = true; - cfg.min_flow_count = 1; - cfg.max_flow_count = 1000000; - cfg.shortest_path = false; - cfg.reoptimize_flows_on_each_placement = false; - cfg.max_no_progress_iterations = 100; - cfg.max_total_iterations = 10000; - cfg.diminishing_returns_enabled = true; - cfg.diminishing_returns_window = 8; - cfg.diminishing_returns_epsilon_frac = 1e-3; - FlowPolicy policy(ctx, cfg); - auto res = policy.place_demand(fg, 0, 2, 0, 7.0); - EXPECT_GE(res.first, 0.0); - EXPECT_GE(res.second, 0.0); - EXPECT_GT(res.second, 0.0); -} - -TEST(FlowPolicyCore, EqualBalanced_ShortestPath_ECMP3_SaturatesAllEqualCostPaths) { - // Graph: 0->{1,2,3}->4, all caps=5, all costs=1 (ECMP width 3) - // ECMP-like config: EqualBalanced, multi_edge=true, require_capacity=false, shortest_path=true, single flow - std::int32_t num_nodes = 5; - std::int32_t src_arr[6] = {0, 0, 0, 1, 2, 3}; - std::int32_t dst_arr[6] = {1, 2, 3, 4, 4, 4}; - double cap_arr[6] = {5.0, 5.0, 5.0, 5.0, 5.0, 5.0}; - std::int64_t cost_arr[6] = {1, 1, 1, 1, 1, 1}; - std::int64_t ext_arr[6] = {0, 1, 2, 3, 4, 5}; - auto g = StrictMultiDiGraph::from_arrays(num_nodes, - std::span(src_arr, 6), - std::span(dst_arr, 6), - std::span(cap_arr, 6), - std::span(cost_arr, 6), - std::span(ext_arr, 6)); - FlowGraph fg(g); - EdgeSelection sel; sel.multi_edge = true; sel.require_capacity = false; sel.tie_break = EdgeTieBreak::Deterministic; - auto be = make_cpu_backend(); auto algs = std::make_shared(be); auto gh = algs->build_graph(g); - ExecutionContext ctx(algs, gh); - FlowPolicyConfig cfg; - cfg.flow_placement = FlowPlacement::EqualBalanced; - cfg.selection = sel; - cfg.require_capacity = false; - cfg.min_flow_count = 1; - cfg.max_flow_count = 1; - cfg.shortest_path = true; - FlowPolicy policy(ctx, cfg); - auto res = policy.place_demand(fg, 0, 4, 0, 100.0); - // Should place sum of shortest-tier capacities = 15.0, and stop - EXPECT_NEAR(res.first, 15.0, 1e-9); - EXPECT_NEAR(res.second, 85.0, 1e-9); - // Equal-balanced split across the three equal-cost paths - expect_edge_flows_by_uv(fg, {{0,1,5.0}, {1,4,5.0}, {0,2,5.0}, {2,4,5.0}, {0,3,5.0}, {3,4,5.0}}); -} - -TEST(FlowPolicyCore, EqualBalanced_ShortestPath_DownstreamSplit_BalancesBottleneck) { - // Graph: 0->1 (cap 10) -> {2,3} (cap 5 each) -> 4, all costs=1 - // Expect placement limited to 10, split 5/5 on downstream equal-cost arcs. - std::int32_t num_nodes = 5; - std::int32_t src_arr[5] = {0, 1, 1, 2, 3}; - std::int32_t dst_arr[5] = {1, 2, 3, 4, 4}; - double cap_arr[5] = {10.0, 5.0, 5.0, 10.0, 10.0}; - std::int64_t cost_arr[5] = {1, 1, 1, 1, 1}; - std::int64_t ext_arr[5] = {0, 1, 2, 3, 4}; - auto g = StrictMultiDiGraph::from_arrays(num_nodes, - std::span(src_arr, 5), - std::span(dst_arr, 5), - std::span(cap_arr, 5), - std::span(cost_arr, 5), - std::span(ext_arr, 5)); - FlowGraph fg(g); - EdgeSelection sel; sel.multi_edge = true; sel.require_capacity = false; sel.tie_break = EdgeTieBreak::Deterministic; - auto be = make_cpu_backend(); auto algs = std::make_shared(be); auto gh = algs->build_graph(g); - ExecutionContext ctx(algs, gh); - FlowPolicyConfig cfg; - cfg.flow_placement = FlowPlacement::EqualBalanced; - cfg.selection = sel; - cfg.require_capacity = false; - cfg.min_flow_count = 1; - cfg.max_flow_count = 1; - cfg.shortest_path = true; - FlowPolicy policy(ctx, cfg); - auto res = policy.place_demand(fg, 0, 4, 0, 100.0); - EXPECT_NEAR(res.first, 10.0, 1e-9); - EXPECT_NEAR(res.second, 90.0, 1e-9); - expect_edge_flows_by_uv(fg, {{0,1,10.0}, {1,2,5.0}, {1,3,5.0}, {2,4,5.0}, {3,4,5.0}}); -} - -TEST(FlowPolicyCore, EqualBalanced_ShortestPath_IgnoresHigherCostTier) { - // Graph: - // Shortest tier: 0->1->4, caps 10, costs=1 - // Higher tier: 0->2->4, caps 50, costs=2 - // With shortest_path=True, placement must saturate shortest tier only (10) and stop. - std::int32_t num_nodes = 5; - std::int32_t src_arr[4] = {0, 1, 0, 2}; - std::int32_t dst_arr[4] = {1, 4, 2, 4}; - double cap_arr[4] = {10.0, 10.0, 50.0, 50.0}; - std::int64_t cost_arr[4] = {1, 1, 2, 2}; - std::int64_t ext_arr[4] = {0, 1, 2, 3}; - auto g = StrictMultiDiGraph::from_arrays(num_nodes, - std::span(src_arr, 4), - std::span(dst_arr, 4), - std::span(cap_arr, 4), - std::span(cost_arr, 4), - std::span(ext_arr, 4)); - FlowGraph fg(g); - EdgeSelection sel; sel.multi_edge = true; sel.require_capacity = false; sel.tie_break = EdgeTieBreak::Deterministic; - auto be = make_cpu_backend(); auto algs = std::make_shared(be); auto gh = algs->build_graph(g); - ExecutionContext ctx(algs, gh); - FlowPolicyConfig cfg; - cfg.flow_placement = FlowPlacement::EqualBalanced; - cfg.selection = sel; - cfg.require_capacity = false; - cfg.min_flow_count = 1; - cfg.max_flow_count = 1; - cfg.shortest_path = true; - FlowPolicy policy(ctx, cfg); - auto res = policy.place_demand(fg, 0, 4, 0, 100.0); - EXPECT_NEAR(res.first, 10.0, 1e-9); - EXPECT_NEAR(res.second, 90.0, 1e-9); - // Only shortest tier edges should carry flow - expect_edge_flows_by_uv(fg, {{0,1,10.0}, {1,4,10.0}, {0,2,0.0}, {2,4,0.0}}); -} - -// ============================================================================ -// Static paths (pinned path bundles) -// ============================================================================ - -// Each flow binds to ITS OWN bundle in supply order (the original Python -// semantics; the first C++ port bound every flow to bundle[0]). -TEST(FlowPolicyStatic, PerFlowBundleBinding) { - auto g = make_square1(); - FlowGraph fg(g); - auto be = make_cpu_backend(); auto algs = std::make_shared(be); auto gh = algs->build_graph(g); - ExecutionContext ctx(algs, gh); - FlowPolicy policy(ctx, FlowPolicyConfig{}); - - // Edge ids after (cost, src, dst) reordering match construction order here. - EdgeId short_path[2] = {0, 1}; // A->B->C, cost 2, cap 1 - EdgeId long_path[2] = {2, 3}; // A->D->C, cost 4, cap 2 - std::vector bundles; - bundles.push_back(make_path_dag(g, std::span(short_path, 2))); - bundles.push_back(make_path_dag(g, std::span(long_path, 2))); - policy.set_static_paths(0, 2, std::move(bundles)); - - auto [placed, left] = policy.place_demand(fg, 0, 2, 0, 3.0); - EXPECT_NEAR(placed, 3.0, 1e-9); - EXPECT_NEAR(left, 0.0, 1e-9); - ASSERT_EQ(policy.flow_count(), 2); - // Creation order == supply order; costs prove the binding. - std::vector> got; - for (auto const& kv : policy.flows()) got.emplace_back(kv.first.flowId, kv.second.cost); - std::sort(got.begin(), got.end()); - EXPECT_EQ(got[0].second, 2); - EXPECT_EQ(got[1].second, 4); -} - -// A bundle whose every walk is masked out is DOWN: no flow, no volume. -TEST(FlowPolicyStatic, MaskedBundleIsDown) { - using netgraph::core::test::make_bool_mask; - auto g = make_square1(); - FlowGraph fg(g); - auto be = make_cpu_backend(); auto algs = std::make_shared(be); auto gh = algs->build_graph(g); - ExecutionContext ctx(algs, gh); - - auto edge_mask = make_bool_mask(4); - edge_mask[0] = false; // A->B down -> the short bundle has no surviving walk - FlowPolicyConfig cfg; - cfg.edge_mask = std::span(edge_mask.get(), 4); - FlowPolicy policy(ctx, cfg); - - EdgeId short_path[2] = {0, 1}; - EdgeId long_path[2] = {2, 3}; - std::vector bundles; - bundles.push_back(make_path_dag(g, std::span(short_path, 2))); - bundles.push_back(make_path_dag(g, std::span(long_path, 2))); - policy.set_static_paths(0, 2, std::move(bundles)); - - auto [placed, left] = policy.place_demand(fg, 0, 2, 0, 3.0); - EXPECT_EQ(policy.flow_count(), 1); - EXPECT_NEAR(placed, 2.0, 1e-9); // only the long bundle carries - EXPECT_NEAR(left, 1.0, 1e-9); -} - -// Malformed bundles are rejected loudly; a foreign-graph DAG cannot slip through. -TEST(FlowPolicyStatic, ValidationRejectsForeignAndDisconnectedBundles) { - auto g = make_square1(); - auto be = make_cpu_backend(); auto algs = std::make_shared(be); auto gh = algs->build_graph(g); - ExecutionContext ctx(algs, gh); - FlowPolicy policy(ctx, FlowPolicyConfig{}); - - EdgeId short_path[2] = {0, 1}; - auto dag = make_path_dag(g, std::span(short_path, 2)); - - // Connects 0->2, not 1->3: structurally wrong for that demand. - { - std::vector b; b.push_back(dag); - EXPECT_THROW(policy.set_static_paths(1, 3, std::move(b)), std::invalid_argument); - } - // Shuffled via edge: entry no longer connects its parent to its node. - { - PredDAG bad = dag; - bad.via_edges[0] = 3; // D->C edge in place of a parent link - std::vector b; b.push_back(std::move(bad)); - EXPECT_THROW(policy.set_static_paths(0, 2, std::move(b)), std::invalid_argument); - } -} - -// The max_path_cost_factor gate multiplies best_path_cost_ by the factor and casts -// the product back to Cost. best_path_cost_ is only updated when dst is reachable -// (flow_policy.cpp:135), so an UNREACHABLE destination is the one way to reach the -// gate while it still holds the INT64_MAX "no best path yet" sentinel. Before 0.8.0 -// the multiply-and-cast ran unconditionally there, and INT64_MAX * factor is far -// outside the int64 range -- undefined behavior. -// -// No assertion can distinguish fixed from unfixed here: both return "no path" for an -// unreachable destination. The check is the UB itself, so this test exists to give -// UBSan something to instrument. It only has teeth under `make sanitize-test`, which -// runs ctest -- which is why this lives in C++ and not in the Python suite. -TEST(FlowPolicyCostBounds, MaxPathCostFactor_UnreachableDst_KeepsSentinelOutOfTheCast) { - // 0 -> 1, plus an isolated node 2 that cannot be reached from 0. - std::vector src{0}, dst{1}; - std::vector cap{1.0}; - std::vector cost{7}; - auto g = StrictMultiDiGraph::from_arrays(3, src, dst, cap, cost); - FlowGraph fg(g); - - EdgeSelection sel; sel.multi_edge = true; sel.require_capacity = true; - sel.tie_break = EdgeTieBreak::Deterministic; - auto be = make_cpu_backend(); auto algs = std::make_shared(be); - auto gh = algs->build_graph(g); - ExecutionContext ctx(algs, gh); - - FlowPolicyConfig cfg; - cfg.flow_placement = FlowPlacement::Proportional; - cfg.selection = sel; - cfg.require_capacity = true; - cfg.max_flow_count = 1; - cfg.min_flow_count = 1; // seeding is what calls get_path_bundle - cfg.max_path_cost_factor = 2.0; - FlowPolicy policy(ctx, cfg); - - // Reaches the gate with best_path_cost_ == INT64_MAX. Nothing can be placed. - auto res = policy.place_demand(fg, /*src=*/0, /*dst=*/2, /*flowClass=*/0, /*volume=*/1.0); - EXPECT_NEAR(res.first, 0.0, 1e-9); - EXPECT_NEAR(res.second, 1.0, 1e-9); -} - -// A very large (but legal) best cost times a large factor overflows the int64 range -// too. The bound must be dropped rather than wrapped: a wrapped negative bound would -// reject the shortest path itself, so a successful placement is what separates the -// guard from the bug. Unlike the sentinel case above, this one IS assertable. -TEST(FlowPolicyCostBounds, MaxPathCostFactor_HugeProduct_DropsBoundInsteadOfWrapping) { - const std::int64_t big = std::int64_t{1} << 60; // total stays below the 2^62 ceiling - std::vector src{0, 1}, dst{1, 2}; - std::vector cap{1.0, 1.0}; - std::vector cost{big, big}; - auto g = StrictMultiDiGraph::from_arrays(3, src, dst, cap, cost); - FlowGraph fg(g); - - EdgeSelection sel; sel.multi_edge = true; sel.require_capacity = true; - sel.tie_break = EdgeTieBreak::Deterministic; - auto be = make_cpu_backend(); auto algs = std::make_shared(be); - auto gh = algs->build_graph(g); - ExecutionContext ctx(algs, gh); - - FlowPolicyConfig cfg; - cfg.flow_placement = FlowPlacement::Proportional; - cfg.selection = sel; - cfg.require_capacity = true; - cfg.max_flow_count = 1; - cfg.min_flow_count = 1; - cfg.max_path_cost_factor = 1e9; - FlowPolicy policy(ctx, cfg); - - auto res = policy.place_demand(fg, /*src=*/0, /*dst=*/2, /*flowClass=*/0, /*volume=*/1.0); - EXPECT_NEAR(res.first, 1.0, 1e-9); -} diff --git a/tests/cpp/flow_state_tests.cpp b/tests/cpp/flow_state_tests.cpp deleted file mode 100644 index ac9658f..0000000 --- a/tests/cpp/flow_state_tests.cpp +++ /dev/null @@ -1,589 +0,0 @@ -#include -#include "netgraph/core/flow_state.hpp" -#include -#include "netgraph/core/shortest_paths.hpp" -#include "netgraph/core/strict_multidigraph.hpp" -#include "netgraph/core/constants.hpp" -#include "test_utils.hpp" - -using namespace netgraph::core; -using namespace netgraph::core::test; - -TEST(FlowState, InitialResidualEqualsCapacity) { - auto g = make_line_graph(3); - FlowState fs(g); - - auto residual = fs.residual_view(); - auto capacity = g.capacity_view(); - - for (std::size_t i = 0; i < residual.size(); ++i) { - EXPECT_DOUBLE_EQ(residual[i], capacity[i]); - } -} - -TEST(FlowState, PlacementReducesResidual) { - auto g = make_line_graph(3); - FlowState fs(g); - - // Get shortest path DAG - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - sel.tie_break = EdgeTieBreak::Deterministic; - auto [dist, dag] = shortest_paths(g, 0, std::nullopt, true, sel, {}, {}, {}); - - auto initial_residual = fs.residual_view()[0]; - - // Place 0.5 units of flow - Flow placed = fs.place_on_dag(0, 2, dag, 0.5, FlowPlacement::Proportional); - - EXPECT_GT(placed, 0.0); - - // Residual should be reduced - auto new_residual = fs.residual_view()[0]; - EXPECT_LT(new_residual, initial_residual); -} - -TEST(FlowState, ProportionalDistribution) { - // Create graph with two parallel edges of different capacities - std::int32_t src[3] = {0, 1, 1}; - std::int32_t dst[3] = {1, 2, 2}; - double cap[3] = {10.0, 3.0, 7.0}; // Total 10 capacity B->C - std::int64_t cost[3] = {1, 1, 1}; - - auto g = StrictMultiDiGraph::from_arrays(3, - std::span(src, 3), std::span(dst, 3), - std::span(cap, 3), std::span(cost, 3)); - - FlowState fs(g); - - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - sel.tie_break = EdgeTieBreak::Deterministic; - auto [dist, dag] = shortest_paths(g, 0, std::nullopt, true, sel, {}, {}, {}); - - // Place 10 units (should use both B->C edges proportionally) - Flow placed = fs.place_on_dag(0, 2, dag, 10.0, FlowPlacement::Proportional); - - EXPECT_NEAR(placed, 10.0, 1e-9); - - auto flows = fs.edge_flow_view(); - // First edge (A->B) should have 10 - EXPECT_NEAR(flows[0], 10.0, 1e-9); - - // Parallel edges should have flow proportional to capacity: 3 and 7 - EXPECT_NEAR(flows[1], 3.0, 1e-9); - EXPECT_NEAR(flows[2], 7.0, 1e-9); -} - -TEST(FlowState, EqualBalancedDistribution) { - // Same graph as proportional test - std::int32_t src[3] = {0, 1, 1}; - std::int32_t dst[3] = {1, 2, 2}; - double cap[3] = {10.0, 3.0, 7.0}; - std::int64_t cost[3] = {1, 1, 1}; - - auto g = StrictMultiDiGraph::from_arrays(3, - std::span(src, 3), std::span(dst, 3), - std::span(cap, 3), std::span(cost, 3)); - - FlowState fs(g); - - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - sel.tie_break = EdgeTieBreak::Deterministic; - auto [dist, dag] = shortest_paths(g, 0, std::nullopt, true, sel, {}, {}, {}); - - // Place 6 units with equal-balanced (limited by min capacity * 2 = 6) - Flow placed = fs.place_on_dag(0, 2, dag, 10.0, FlowPlacement::EqualBalanced); - - EXPECT_NEAR(placed, 6.0, 1e-9); - - auto flows = fs.edge_flow_view(); - // Parallel edges should each get 3 (equal split) - EXPECT_NEAR(flows[1], 3.0, 1e-9); - EXPECT_NEAR(flows[2], 3.0, 1e-9); -} - -TEST(FlowState, ZeroCapacityHandling) { - std::int32_t src[1] = {0}; - std::int32_t dst[1] = {1}; - double cap[1] = {0.0}; - std::int64_t cost[1] = {1}; - - auto g = StrictMultiDiGraph::from_arrays(2, - std::span(src, 1), std::span(dst, 1), - std::span(cap, 1), std::span(cost, 1)); - - FlowState fs(g); - - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = true; // Should filter zero capacity - sel.tie_break = EdgeTieBreak::Deterministic; - auto [dist, dag] = shortest_paths(g, 0, std::nullopt, true, sel, fs.residual_view(), {}, {}); - - // No path should be found due to zero capacity - EXPECT_EQ(dag.parent_offsets[1], dag.parent_offsets[2]); -} - -TEST(FlowState, ApplyDeltasAdditive) { - auto g = make_line_graph(3); - FlowState fs(g); - - std::vector> deltas = {{0, 0.5}, {1, 0.3}}; - - auto initial_flow_0 = fs.edge_flow_view()[0]; - auto initial_residual_0 = fs.residual_view()[0]; - - fs.apply_deltas(deltas, true); // Add - - EXPECT_NEAR(fs.edge_flow_view()[0], initial_flow_0 + 0.5, 1e-9); - EXPECT_NEAR(fs.residual_view()[0], initial_residual_0 - 0.5, 1e-9); -} - -TEST(FlowState, ApplyDeltasSubtractive) { - auto g = make_line_graph(3); - FlowState fs(g); - - // First add some flow - std::vector> deltas = {{0, 0.5}}; - fs.apply_deltas(deltas, true); - - auto flow_after_add = fs.edge_flow_view()[0]; - auto residual_after_add = fs.residual_view()[0]; - - // Subtract the same deltas to reverse the operation - fs.apply_deltas(deltas, false); - - EXPECT_NEAR(fs.edge_flow_view()[0], flow_after_add - 0.5, 1e-9); - EXPECT_NEAR(fs.residual_view()[0], residual_after_add + 0.5, 1e-9); -} - -TEST(FlowState, MinCutComputation) { - // Validates min-cut computation on a saturated flow graph. - // Square has two paths: 0->1->2 (cap 1, cost 2) and 0->3->2 (cap 2, cost 4). - // Max flow is 3.0, and min-cut should separate source from sink with saturated edges. - auto g = make_square_graph(1); - FlowState fs(g); - - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = true; - sel.tie_break = EdgeTieBreak::Deterministic; - - // Saturate max-flow: iteratively place flow until exhausted - Flow total_placed = 0.0; - for (int iter = 0; iter < 10; ++iter) { - auto [dist, dag] = shortest_paths(g, 0, std::nullopt, true, sel, fs.residual_view(), {}, {}); - // Check if destination is reachable - if (dag.parent_offsets[2] == dag.parent_offsets[3]) break; // No path to node 2 - Flow placed = fs.place_on_dag(0, 2, dag, 10.0, FlowPlacement::Proportional); - if (placed < kMinFlow) break; - total_placed += placed; - } - - // Verify flow was actually placed - ASSERT_GT(total_placed, 0.0) << "No flow placed, test setup is broken"; - - // Compute min-cut from source - auto min_cut = fs.compute_min_cut(0, {}, {}); - - // Min-cut must have at least one edge separating source from sink - EXPECT_GT(min_cut.edges.size(), 0) << "Min-cut must contain saturated edges"; - - // All cut edges should be saturated (residual <= kMinCap) - auto residual = fs.residual_view(); - for (auto eid : min_cut.edges) { - EXPECT_LE(residual[eid], kMinCap) - << "Cut edge " << eid << " not saturated (residual=" << residual[eid] << ")"; - } - - // Verify min-cut capacity equals max-flow (by max-flow min-cut theorem) - double cut_capacity = 0.0; - auto capacity = g.capacity_view(); - for (auto eid : min_cut.edges) { - cut_capacity += capacity[eid]; - } - EXPECT_NEAR(cut_capacity, total_placed, 1e-9) - << "Min-cut capacity should equal max-flow by max-flow min-cut theorem"; -} - -TEST(FlowState, ResetRestoresCapacity) { - auto g = make_line_graph(3); - FlowState fs(g); - - // Place some flow - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - sel.tie_break = EdgeTieBreak::Deterministic; - auto [dist, dag] = shortest_paths(g, 0, std::nullopt, true, sel, {}, {}, {}); - Flow placed = fs.place_on_dag(0, 2, dag, 0.5, FlowPlacement::Proportional); - EXPECT_GT(placed, 0.0); - - EXPECT_GT(fs.edge_flow_view()[0], 0.0); - - // Reset - fs.reset(); - - // Flow should be zero - EXPECT_DOUBLE_EQ(fs.edge_flow_view()[0], 0.0); - - // Residual should equal capacity - auto residual = fs.residual_view(); - auto capacity = g.capacity_view(); - for (std::size_t i = 0; i < residual.size(); ++i) { - EXPECT_DOUBLE_EQ(residual[i], capacity[i]); - } -} - -TEST(FlowState, CustomInitialResidual) { - auto g = make_line_graph(3); - - // Create custom residual (half capacity) - std::vector custom_residual(g.num_edges()); - auto capacity = g.capacity_view(); - for (std::size_t i = 0; i < custom_residual.size(); ++i) { - custom_residual[i] = capacity[i] * 0.5; - } - - FlowState fs(g, custom_residual); - - auto residual = fs.residual_view(); - for (std::size_t i = 0; i < residual.size(); ++i) { - EXPECT_DOUBLE_EQ(residual[i], custom_residual[i]); - } -} - -TEST(FlowState, InvalidResidualInitThrows) { - auto g = make_line_graph(3); - // residual_init wrong length - std::vector bad(static_cast(g.num_edges() + 1), 1.0); - EXPECT_THROW({ FlowState fs_bad(g, bad); (void)fs_bad; }, std::invalid_argument); -} - -TEST(FlowState, ResetWithInvalidResidualThrows) { - auto g = make_line_graph(3); - FlowState fs(g); - std::vector bad(static_cast(g.num_edges() + 2), 1.0); - EXPECT_THROW({ fs.reset(bad); }, std::invalid_argument); -} - -TEST(FlowState, ApplyDeltasClampsWithinCapacityBounds) { - auto g = make_line_graph(3); - FlowState fs(g); - auto cap = g.capacity_view(); - // Add some flow on edge 0 - std::vector> add = {{0, 0.4}}; - fs.apply_deltas(add, true); - // Subtract more than present; implementation should clamp to zero (no negative flows) - std::vector> sub = {{0, 1.0}}; - fs.apply_deltas(sub, false); - EXPECT_GE(fs.edge_flow_view()[0], 0.0); - EXPECT_LE(fs.edge_flow_view()[0], cap[0]); - EXPECT_NEAR(fs.residual_view()[0], cap[0], 1e-12); -} - -TEST(FlowState, EqualBalancedReconvergentDAGPlacesAll) { - // Graph: 0->1->3 and 0->2->3, all caps=1, costs=1 - std::int32_t src[4] = {0, 1, 0, 2}; - std::int32_t dst[4] = {1, 3, 2, 3}; - double cap[4] = {1.0, 1.0, 1.0, 1.0}; - std::int64_t cost[4] = {1, 1, 1, 1}; - auto g = StrictMultiDiGraph::from_arrays(4, - std::span(src, 4), std::span(dst, 4), - std::span(cap, 4), std::span(cost, 4)); - FlowState fs(g); - EdgeSelection sel; sel.multi_edge = true; sel.require_capacity = true; sel.tie_break = EdgeTieBreak::Deterministic; - auto [dist, dag] = shortest_paths(g, 0, 3, /*multipath=*/true, sel, {}, {}, {}); - Flow placed = fs.place_on_dag(0, 3, dag, std::numeric_limits::infinity(), FlowPlacement::EqualBalanced); - EXPECT_NEAR(placed, 2.0, 1e-9); -} - -TEST(FlowState, EqualBalanced_ECMP3_FirstHopEqualization) { - // Graph with three equal-cost next-hops: 0->{1,2,3}->{4}, all caps=5, costs=1 - std::int32_t src[6] = {0, 0, 0, 1, 2, 3}; - std::int32_t dst[6] = {1, 2, 3, 4, 4, 4}; - double cap[6] = {5.0, 5.0, 5.0, 5.0, 5.0, 5.0}; - std::int64_t cost[6] = {1, 1, 1, 1, 1, 1}; - auto g = StrictMultiDiGraph::from_arrays(5, - std::span(src, 6), std::span(dst, 6), - std::span(cap, 6), std::span(cost, 6)); - FlowState fs(g); - EdgeSelection sel; sel.multi_edge = true; sel.require_capacity = true; sel.tie_break = EdgeTieBreak::Deterministic; - auto [dist, dag] = shortest_paths(g, 0, 4, /*multipath=*/true, sel, {}, {}, {}); - // Request 3 units; expect 1 on each of the three paths - Flow placed = fs.place_on_dag(0, 4, dag, 3.0, FlowPlacement::EqualBalanced); - EXPECT_NEAR(placed, 3.0, 1e-9); - auto ef = fs.edge_flow_view(); - // First-hop equalization - // Edges 0->1, 0->2, 0->3 are the first three edges by construction - EXPECT_NEAR(ef[0], 1.0, 1e-9); - EXPECT_NEAR(ef[1], 1.0, 1e-9); - EXPECT_NEAR(ef[2], 1.0, 1e-9); - // Second hop equalization - EXPECT_NEAR(ef[3], 1.0, 1e-9); - EXPECT_NEAR(ef[4], 1.0, 1e-9); - EXPECT_NEAR(ef[5], 1.0, 1e-9); -} - -TEST(FlowState, EqualBalanced_MinFlowGating_DoesNotPruneValidParallelEdges) { - // Validates that EB placement doesn't prune paths where individual edges have - // residual < requested flow, but the parallel edge group collectively supports it. - // Graph: 0->1 cap 1.2; 1->2 has two parallel edges cap 0.6 each; all costs=1 - // When placing 1.0, individual edges can't carry 1.0, but group of 2×0.6 can. - std::int32_t src[3] = {0, 1, 1}; - std::int32_t dst[3] = {1, 2, 2}; - double cap[3] = {1.2, 0.6, 0.6}; - std::int64_t cost[3] = {1, 1, 1}; - auto g = StrictMultiDiGraph::from_arrays(3, - std::span(src, 3), std::span(dst, 3), - std::span(cap, 3), std::span(cost, 3)); - FlowState fs(g); - EdgeSelection sel; sel.multi_edge = true; sel.require_capacity = true; sel.tie_break = EdgeTieBreak::Deterministic; - auto [dist, dag] = shortest_paths(g, 0, 2, /*multipath=*/true, sel, {}, {}, {}); - // Request 1.0; group capacity is min(1.2, 0.6+0.6) = 1.2, so should place 1.0 - Flow placed = fs.place_on_dag(0, 2, dag, 1.0, FlowPlacement::EqualBalanced); - EXPECT_GE(placed, 1.0 - 1e-9) << "Should place full 1.0 using parallel edge group"; - auto ef = fs.edge_flow_view(); - // Parallel edges should split the flow - EXPECT_NEAR(ef[1] + ef[2], 1.0, 1e-9) << "Parallel edges should carry the flow"; -} - -TEST(FlowState, EqualBalanced_DownstreamSplitEqualization) { - // Downstream equalization: 0->1 (cap 10) then 1->{2,3}->4 (each hop cap 5) - // Expect 10 placed, split 5 and 5 downstream. - std::int32_t src[5] = {0, 1, 1, 2, 3}; - std::int32_t dst[5] = {1, 2, 3, 4, 4}; - double cap[5] = {10.0, 5.0, 5.0, 5.0, 5.0}; - std::int64_t cost[5] = {1, 1, 1, 1, 1}; - auto g = StrictMultiDiGraph::from_arrays(5, - std::span(src, 5), std::span(dst, 5), - std::span(cap, 5), std::span(cost, 5)); - FlowState fs(g); - EdgeSelection sel; sel.multi_edge = true; sel.require_capacity = true; sel.tie_break = EdgeTieBreak::Deterministic; - auto [dist, dag] = shortest_paths(g, 0, 4, /*multipath=*/true, sel, {}, {}, {}); - Flow placed = fs.place_on_dag(0, 4, dag, 10.0, FlowPlacement::EqualBalanced); - EXPECT_NEAR(placed, 10.0, 1e-9); - auto ef = fs.edge_flow_view(); - // First hop carries all 10 - EXPECT_NEAR(ef[0], 10.0, 1e-9); - // Downstream split equalization - EXPECT_NEAR(ef[1], 5.0, 1e-9); // 1->2 - EXPECT_NEAR(ef[2], 5.0, 1e-9); // 1->3 - EXPECT_NEAR(ef[3], 5.0, 1e-9); // 2->4 - EXPECT_NEAR(ef[4], 5.0, 1e-9); // 3->4 -} - -TEST(FlowState, EqualBalanced_ZeroCapacityOnShortestPath_ReturnsZero) { - // With require_capacity=false (true IP/IGP semantics), routing is cost-only. - // If the shortest path has a zero-capacity edge, no flow can be placed. - // Graph: 0->1 (cap 0, cost 1) -> 2 (cap 10, cost 1) [shortest path, but no capacity] - // 0->3 (cap 100, cost 2) -> 2 (cap 100, cost 2) [longer path with capacity] - std::int32_t src[4] = {0, 1, 0, 3}; - std::int32_t dst[4] = {1, 2, 3, 2}; - double cap[4] = {0.0, 10.0, 100.0, 100.0}; // 0->1 has zero capacity! - std::int64_t cost[4] = {1, 1, 2, 2}; - auto g = StrictMultiDiGraph::from_arrays(4, - std::span(src, 4), std::span(dst, 4), - std::span(cap, 4), std::span(cost, 4)); - FlowState fs(g); - - // Build DAG with require_capacity=false (cost-only routing, ignores capacity). - // This simulates true IP/IGP behavior where routes are based purely on cost. - EdgeSelection sel; sel.multi_edge = true; sel.require_capacity = false; sel.tie_break = EdgeTieBreak::Deterministic; - auto [dist, dag] = shortest_paths(g, 0, 2, /*multipath=*/true, sel, {}, {}, {}); - - // Verify SPF found a path (the zero-capacity one is included in the DAG). - // The shortest path 0->1->2 has cost 2, while 0->3->2 has cost 4. - EXPECT_LT(dist[2], std::numeric_limits::max()); - - // Attempt EqualBalanced placement. Since the shortest path has no capacity, - // and we're in single-tier mode (simulated by only having one DAG), - // placement should return 0. - Flow placed = fs.place_on_dag(0, 2, dag, std::numeric_limits::infinity(), FlowPlacement::EqualBalanced); - EXPECT_NEAR(placed, 0.0, 1e-9) << "EqualBalanced should return 0 when shortest path has no capacity"; - - // Verify no edge flows were placed - auto ef = fs.edge_flow_view(); - for (std::size_t i = 0; i < static_cast(g.num_edges()); ++i) { - EXPECT_NEAR(ef[i], 0.0, 1e-9) << "Edge " << i << " should have no flow"; - } -} - -TEST(FlowState, Proportional_ZeroCapacityOnShortestPath_ReturnsZero) { - // With require_capacity=false, if the shortest path has a zero-capacity edge, - // no flow can be placed. Both placements behave consistently. - std::int32_t src[4] = {0, 1, 0, 3}; - std::int32_t dst[4] = {1, 2, 3, 2}; - double cap[4] = {0.0, 10.0, 100.0, 100.0}; - std::int64_t cost[4] = {1, 1, 2, 2}; - auto g = StrictMultiDiGraph::from_arrays(4, - std::span(src, 4), std::span(dst, 4), - std::span(cap, 4), std::span(cost, 4)); - FlowState fs(g); - - EdgeSelection sel; sel.multi_edge = true; sel.require_capacity = false; sel.tie_break = EdgeTieBreak::Deterministic; - auto [dist, dag] = shortest_paths(g, 0, 2, /*multipath=*/true, sel, {}, {}, {}); - - Flow placed = fs.place_on_dag(0, 2, dag, std::numeric_limits::infinity(), FlowPlacement::Proportional); - EXPECT_NEAR(placed, 0.0, 1e-9) << "Proportional should return 0 when shortest path has no capacity"; -} - -TEST(FlowState, RepeatedPlacementAfterResetAndIndependentInstancesStayStable) { - // Exercise the per-instance workspace reuse path: - // 1. repeated placement on one FlowState after reset must be identical - // 2. a second FlowState must remain unaffected by the first instance - std::int32_t src[5] = {0, 1, 1, 2, 3}; - std::int32_t dst[5] = {1, 2, 3, 4, 4}; - double cap[5] = {10.0, 5.0, 5.0, 5.0, 5.0}; - std::int64_t cost[5] = {1, 1, 1, 1, 1}; - auto g = StrictMultiDiGraph::from_arrays(5, - std::span(src, 5), std::span(dst, 5), - std::span(cap, 5), std::span(cost, 5)); - - FlowState fs1(g); - FlowState fs2(g); - - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = true; - sel.tie_break = EdgeTieBreak::Deterministic; - auto [dist, dag] = shortest_paths(g, 0, 4, /*multipath=*/true, sel, {}, {}, {}); - - Flow placed_first = fs1.place_on_dag(0, 4, dag, 10.0, FlowPlacement::EqualBalanced); - std::vector first_flows(fs1.edge_flow_view().begin(), fs1.edge_flow_view().end()); - EXPECT_NEAR(placed_first, 10.0, 1e-9); - - for (auto flow : fs2.edge_flow_view()) { - EXPECT_NEAR(flow, 0.0, 1e-12); - } - - fs1.reset(); - Flow placed_second = fs1.place_on_dag(0, 4, dag, 10.0, FlowPlacement::EqualBalanced); - EXPECT_NEAR(placed_second, placed_first, 1e-9); - for (std::size_t i = 0; i < first_flows.size(); ++i) { - EXPECT_NEAR(fs1.edge_flow_view()[i], first_flows[i], 1e-9); - } -} - -// --------------------------------------------------------------------------- -// EqualBalanced / EqualBalancedLossy: load-blind hash-ECMP models. -// --------------------------------------------------------------------------- -#include "netgraph/core/flow_graph.hpp" - -namespace { -// 0 -> 1 over two parallel equal-cost edges: edge 0 cap 10, edge 1 cap 100. -StrictMultiDiGraph make_unbalanced_pair() { - std::int32_t src[2] = {0, 0}; - std::int32_t dst[2] = {1, 1}; - double cap[2] = {10.0, 100.0}; - std::int64_t cost[2] = {1, 1}; - return StrictMultiDiGraph::from_arrays(2, - std::span(src, 2), std::span(dst, 2), std::span(cap, 2), std::span(cost, 2)); -} -PredDAG cost_only_dag(const StrictMultiDiGraph& g, NodeId s, NodeId t) { - EdgeSelection sel; sel.multi_edge = true; sel.require_capacity = false; sel.tie_break = EdgeTieBreak::Deterministic; - auto [dist, dag] = shortest_paths(g, s, t, /*multipath=*/true, sel, {}, {}, {}); - return dag; -} -} // namespace - -TEST(FlowState, EqualBalanced_SaturatedMemberBlocksAdmission) { - auto g = make_unbalanced_pair(); - auto dag = cost_only_dag(g, 0, 1); - - FlowState fs(g); - EXPECT_NEAR(fs.place_on_dag(0, 1, dag, 20.0, FlowPlacement::EqualBalanced), 20.0, 1e-9); - EXPECT_NEAR(fs.edge_flow_view()[0], 10.0, 1e-9); - EXPECT_NEAR(fs.edge_flow_view()[1], 10.0, 1e-9); - // The 10-unit member is full; equal hashing of any further demand would lose - // half of it, so nothing more is admitted losslessly on this DAG. - EXPECT_NEAR(fs.place_on_dag(0, 1, dag, 10.0, FlowPlacement::EqualBalanced), 0.0, 1e-9); - EXPECT_NEAR(fs.edge_flow_view()[1], 10.0, 1e-9) << "no flow may leak onto the remaining member"; -} - -TEST(FlowState, EqualBalanced_ProgressesOnlyThroughResidualAwareSpf) { - // On a fresh residual-aware DAG the full member is gone and placement continues. - auto g = make_unbalanced_pair(); - FlowState fs(g); - EXPECT_NEAR(fs.place_on_dag(0, 1, cost_only_dag(g, 0, 1), 20.0, FlowPlacement::EqualBalanced), 20.0, 1e-9); - EdgeSelection sel; sel.multi_edge = true; sel.require_capacity = true; sel.tie_break = EdgeTieBreak::Deterministic; - auto [dist, dag] = shortest_paths(g, 0, 1, /*multipath=*/true, sel, fs.residual_view(), {}, {}); - EXPECT_NEAR(fs.place_on_dag(0, 1, dag, 10.0, FlowPlacement::EqualBalanced), 10.0, 1e-9); - EXPECT_NEAR(fs.edge_flow_view()[1], 20.0, 1e-9); -} - -TEST(FlowState, EqualBalancedLossy_FillAndDropReportsDrops) { - auto g = make_unbalanced_pair(); - auto dag = cost_only_dag(g, 0, 1); - FlowState fs(g); - std::vector> trace, drops; - Flow placed = fs.place_on_dag(0, 1, dag, 100.0, FlowPlacement::EqualBalancedLossy, &trace, &drops); - EXPECT_NEAR(placed, 60.0, 1e-9) << "50 on the 100-unit edge, 10 on the 10-unit edge"; - EXPECT_NEAR(fs.edge_flow_view()[0], 10.0, 1e-9); - EXPECT_NEAR(fs.edge_flow_view()[1], 50.0, 1e-9); - ASSERT_EQ(drops.size(), 1u); - EXPECT_EQ(drops[0].first, 0); - EXPECT_NEAR(drops[0].second, 40.0, 1e-9); - double traced = 0.0; for (auto const& pr : trace) traced += pr.second; - EXPECT_NEAR(traced, 60.0, 1e-9) << "the trace records carried volume only"; - - // A later demand still hashes half onto the saturated member and loses it. - drops.clear(); - EXPECT_NEAR(fs.place_on_dag(0, 1, dag, 10.0, FlowPlacement::EqualBalancedLossy, nullptr, &drops), 5.0, 1e-9); - ASSERT_EQ(drops.size(), 1u); - EXPECT_NEAR(drops[0].second, 5.0, 1e-9); -} - -TEST(FlowState, EqualBalancedLossy_DeficitPropagatesDownstream) { - // 0 -> 1 over edges cap 10 / 100 (cost 1 each), then 1 -> 2 cap 30 (cost 1). - std::int32_t src[3] = {0, 0, 1}; - std::int32_t dst[3] = {1, 1, 2}; - double cap[3] = {10.0, 100.0, 30.0}; - std::int64_t cost[3] = {1, 1, 1}; - auto g = StrictMultiDiGraph::from_arrays(3, - std::span(src, 3), std::span(dst, 3), std::span(cap, 3), std::span(cost, 3)); - auto dag = cost_only_dag(g, 0, 2); - FlowState fs(g); - std::vector> drops; - Flow placed = fs.place_on_dag(0, 2, dag, 100.0, FlowPlacement::EqualBalancedLossy, nullptr, &drops); - // Node 1 receives 60 (40 dropped upstream) and forwards 30 (30 dropped on 1->2). - EXPECT_NEAR(placed, 30.0, 1e-9); - EXPECT_NEAR(fs.edge_flow_view()[2], 30.0, 1e-9); - double total_dropped = 0.0; for (auto const& pr : drops) total_dropped += pr.second; - EXPECT_NEAR(total_dropped, 70.0, 1e-9); -} - -TEST(FlowState, EqualBalancedLossy_InfiniteRequestFillsWithoutDrops) { - auto g = make_unbalanced_pair(); - auto dag = cost_only_dag(g, 0, 1); - FlowState fs(g); - std::vector> drops; - Flow placed = fs.place_on_dag(0, 1, dag, std::numeric_limits::infinity(), - FlowPlacement::EqualBalancedLossy, nullptr, &drops); - EXPECT_NEAR(placed, 110.0, 1e-9); - EXPECT_TRUE(drops.empty()) << "drops are undefined for an infinite offered load"; -} - -TEST(FlowGraph, LossyPlacementIsReversibleAndDropsStayOutOfLedger) { - auto g = make_unbalanced_pair(); - auto dag = cost_only_dag(g, 0, 1); - FlowGraph fg(g); - FlowIndex idx{0, 1, 0, 7}; - std::vector> drops; - EXPECT_NEAR(fg.place(idx, 0, 1, dag, 100.0, FlowPlacement::EqualBalancedLossy, &drops), 60.0, 1e-9); - ASSERT_EQ(drops.size(), 1u); - double ledger = 0.0; for (auto const& pr : fg.get_flow_edges(idx)) ledger += pr.second; - EXPECT_NEAR(ledger, 60.0, 1e-9) << "only carried volume is in the ledger"; - fg.remove(idx); - EXPECT_NEAR(fg.residual_view()[0], 10.0, 1e-9); - EXPECT_NEAR(fg.residual_view()[1], 100.0, 1e-9); - // Non-lossy placements never touch the collector. - drops.clear(); - EXPECT_NEAR(fg.place(idx, 0, 1, dag, 20.0, FlowPlacement::EqualBalanced, &drops), 20.0, 1e-9); - EXPECT_TRUE(drops.empty()); -} diff --git a/tests/cpp/k_shortest_paths_tests.cpp b/tests/cpp/k_shortest_paths_tests.cpp deleted file mode 100644 index 30b1dc6..0000000 --- a/tests/cpp/k_shortest_paths_tests.cpp +++ /dev/null @@ -1,331 +0,0 @@ -#include -#include -#include -#include "netgraph/core/k_shortest_paths.hpp" -#include "netgraph/core/shortest_paths.hpp" -#include "netgraph/core/backend.hpp" -#include "netgraph/core/algorithms.hpp" -#include "netgraph/core/strict_multidigraph.hpp" -#include "test_utils.hpp" - -using namespace netgraph::core; -using namespace netgraph::core::test; - -TEST(KShortestPaths, FindsKPaths) { - auto g = make_square_graph(1); // Has at least 2 paths - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - KspOptions opts; - opts.k = 2; - opts.unique = true; - opts.max_cost_factor = std::nullopt; - - auto paths = algs.ksp(gh, 0, 2, opts); - - // Should find at least 1 path, up to 2 - EXPECT_GT(paths.size(), 0); - EXPECT_LE(paths.size(), 2); -} - -TEST(KShortestPaths, KEqualsZeroReturnsEmpty) { - auto g = make_square_graph(1); - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - KspOptions opts; opts.k = 0; opts.unique = true; - auto paths = algs.ksp(gh, 0, 2, opts); - EXPECT_TRUE(paths.empty()); -} - -TEST(KShortestPaths, NodeMaskBlocksPaths) { - // Verify that node masks prevent path discovery in KSP - auto g = make_line_graph(3); - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - KspOptions opts; opts.k = 5; opts.unique = true; - auto node_mask = make_bool_mask(g.num_nodes()); - node_mask[1] = false; // Block middle node - opts.node_mask = std::span(node_mask.get(), static_cast(g.num_nodes())); - auto paths = algs.ksp(gh, 0, 2, opts); - EXPECT_TRUE(paths.empty()); -} - -TEST(KShortestPaths, UniqueModeFiltering) { - auto g = make_square_graph(1); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - KspOptions opts1; - opts1.k = 10; - opts1.unique = true; - auto paths_unique = algs.ksp(gh, 0, 2, opts1); - - KspOptions opts2; - opts2.k = 10; - opts2.unique = false; - auto paths_non_unique = algs.ksp(gh, 0, 2, opts2); - - // Non-unique mode should find at least as many paths as unique mode - EXPECT_GE(paths_non_unique.size(), paths_unique.size()); -} - -TEST(KShortestPaths, MaxCostFactorLimit) { - auto g = make_square_graph(1); // Has paths of cost 2 and 4 - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - KspOptions opts1; - opts1.k = 10; - opts1.max_cost_factor = 1.5; // Allow up to 1.5x shortest - auto paths_limited = algs.ksp(gh, 0, 2, opts1); - - KspOptions opts2; - opts2.k = 10; - opts2.max_cost_factor = std::nullopt; // No limit - auto paths_unlimited = algs.ksp(gh, 0, 2, opts2); - - // Unlimited should find at least as many paths - EXPECT_GE(paths_unlimited.size(), paths_limited.size()); - - // All limited paths should have reasonable cost (check via distance to destination) - if (!paths_limited.empty()) { - Cost min_cost = paths_limited[0].first[2]; // Cost to destination node 2 - - for (const auto& [dist, dag] : paths_limited) { - Cost path_cost = dist[2]; // Cost to destination - EXPECT_LE(path_cost, min_cost * 1.5 + 1e-9); - } - } -} - -TEST(KShortestPaths, PathsSortedByCost) { - auto g = make_square_graph(1); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - KspOptions opts; - opts.k = 5; - opts.unique = true; - - auto paths = algs.ksp(gh, 0, 2, opts); - - if (paths.size() > 1) { - // Extract costs to destination (node 2) - std::vector costs; - for (const auto& [dist, dag] : paths) { - costs.push_back(dist[2]); // Cost to destination node 2 - } - - // Check sorted - for (std::size_t i = 0; i < costs.size() - 1; ++i) { - EXPECT_LE(costs[i], costs[i + 1] + 1e-9) << "Paths not sorted by cost"; - } - } -} - -TEST(KShortestPaths, DisconnectedReturnsEmpty) { - // Create disconnected graph: 0-1 and 2-3 - std::int32_t src[2] = {0, 2}; - std::int32_t dst[2] = {1, 3}; - double cap[2] = {1.0, 1.0}; - std::int64_t cost[2] = {1, 1}; - - auto g = StrictMultiDiGraph::from_arrays(4, - std::span(src, 2), std::span(dst, 2), - std::span(cap, 2), std::span(cost, 2)); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - KspOptions opts; - opts.k = 5; - - // Try to find path from 0 to 3 (disconnected) - auto paths = algs.ksp(gh, 0, 3, opts); - - EXPECT_EQ(paths.size(), 0); -} - -TEST(KShortestPaths, LooplessPaths) { - // Create a graph with cycles: 0->1->2->3 (forward path) and 1->0, 2->0 (back edges) - std::int32_t src[6] = {0, 1, 2, 1, 0, 2}; - std::int32_t dst[6] = {1, 2, 3, 0, 2, 0}; // Has cycles - double cap[6] = {1.0, 1.0, 1.0, 1.0, 1.0, 1.0}; - std::int64_t cost[6] = {1, 1, 1, 1, 2, 2}; - - auto g = StrictMultiDiGraph::from_arrays(4, - std::span(src, 6), std::span(dst, 6), - std::span(cap, 6), std::span(cost, 6)); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - KspOptions opts; - opts.k = 10; - opts.unique = true; - - auto paths = algs.ksp(gh, 0, 3, opts); - - // KSP should return loop-free paths (Yen's algorithm property) - // Verify by checking that destination is reachable and has finite cost - for (const auto& [dist, dag] : paths) { - // Destination (node 3) should be reachable with finite cost - EXPECT_LT(dist[3], std::numeric_limits::max()) - << "Path to destination should have finite cost (no infinite loops)"; - - // Source (node 0) should have distance 0 - EXPECT_DOUBLE_EQ(dist[0], 0.0) << "Source distance should be 0"; - - // Path cost should be positive (since all edge costs are positive) - EXPECT_GT(dist[3], 0.0) << "Path cost should be positive"; - } - - // Should find at least one path (0->1->2->3 with cost 3) - EXPECT_GT(paths.size(), 0) << "Should find at least one loop-free path"; - - // First path should be shortest (cost 3) - if (!paths.empty()) { - EXPECT_DOUBLE_EQ(paths[0].first[3], 3.0) << "Shortest path should have cost 3"; - } -} - -TEST(KShortestPaths, OutOfOrderNodePredDAGSemantics) { - // Graph topology that forces paths visiting nodes out of numerical order. - // Path 1 (shortest): 0 -> 1 -> 2 (cost 2, in-order) - // Path 2 (longer): 0 -> 3 -> 2 (cost 4, visits node 3 before node 2) - // This was the exact bug scenario: PredDAG fill for path [0,3,2] swapped - // parent entries between nodes 2 and 3 when using a linear index. - auto g = make_square_graph(1); // 0->1->2 (cost 2) vs 0->3->2 (cost 4) - - auto items = k_shortest_paths(g, 0, 2, 5, std::nullopt, true); - - ASSERT_GE(items.size(), 2) << "Should find at least 2 paths"; - - // Verify all PredDAGs have correct semantic structure - for (std::size_t p = 0; p < items.size(); ++p) { - const auto& [dist, dag] = items[p]; - SCOPED_TRACE("Path " + std::to_string(p)); - - expect_pred_dag_valid(dag, g.num_nodes()); - expect_pred_dag_semantically_valid(g, dag, dist); - - // Source must have distance 0 and destination must be reachable - EXPECT_EQ(dist[0], 0); - EXPECT_LT(dist[2], std::numeric_limits::max()); - - // Verify path can be reconstructed via resolve_to_paths - auto concrete = resolve_to_paths(dag, 0, 2, /*split_parallel_edges=*/true); - EXPECT_GE(concrete.size(), 1) << "resolve_to_paths should reconstruct at least one path"; - - // Verify reconstructed path is valid: consecutive nodes connected by claimed edges - for (const auto& path : concrete) { - ASSERT_GE(path.size(), 2); // at least src and dst - EXPECT_EQ(path.front().first, 0) << "Path should start at source"; - EXPECT_EQ(path.back().first, 2) << "Path should end at destination"; - // Check edge connectivity - for (std::size_t i = 0; i + 1 < path.size(); ++i) { - auto from_node = path[i].first; - auto to_node = path[i + 1].first; - const auto& edges = path[i].second; - for (auto eid : edges) { - EXPECT_EQ(g.edge_src_view()[static_cast(eid)], from_node); - EXPECT_EQ(g.edge_dst_view()[static_cast(eid)], to_node); - } - } - } - } -} - -TEST(KShortestPaths, LargerOutOfOrderTopology) { - // Larger graph where multiple k-shortest paths visit nodes out of numerical order. - // Topology (6 nodes): - // 0 -> 5 -> 3 -> 1 (cost 3, severely out-of-order: 0,5,3,1) - // 0 -> 2 -> 4 -> 1 (cost 6, also out-of-order: 0,2,4,1) - // 0 -> 1 (cost 10, direct) - std::int32_t src_arr[7] = {0, 5, 3, 0, 2, 4, 0}; - std::int32_t dst_arr[7] = {5, 3, 1, 2, 4, 1, 1}; - double cap_arr[7] = {1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0}; - std::int64_t cost_arr[7] = {1, 1, 1, 2, 2, 2, 10}; - - auto g = StrictMultiDiGraph::from_arrays(6, - std::span(src_arr, 7), std::span(dst_arr, 7), - std::span(cap_arr, 7), std::span(cost_arr, 7)); - - auto items = k_shortest_paths(g, 0, 1, 5, std::nullopt, true); - - ASSERT_GE(items.size(), 2) << "Should find at least 2 paths"; - - // Verify costs are non-decreasing - for (std::size_t i = 0; i + 1 < items.size(); ++i) { - EXPECT_LE(items[i].first[1], items[i + 1].first[1]) - << "Paths should be sorted by cost to destination"; - } - - // The first path should be 0->5->3->1 (cost 3) - EXPECT_EQ(items[0].first[1], 3) << "Shortest path cost should be 3"; - - // Verify all PredDAGs are semantically correct and can be resolved - for (std::size_t p = 0; p < items.size(); ++p) { - const auto& [dist, dag] = items[p]; - SCOPED_TRACE("Path " + std::to_string(p)); - - expect_pred_dag_valid(dag, g.num_nodes()); - expect_pred_dag_semantically_valid(g, dag, dist); - - // Source must have distance 0 and destination must be reachable - EXPECT_EQ(dist[0], 0); - EXPECT_LT(dist[1], std::numeric_limits::max()); - - auto concrete = resolve_to_paths(dag, 0, 1, true); - EXPECT_GE(concrete.size(), 1) << "Should reconstruct at least one concrete path"; - - // Verify node connectivity in reconstructed paths - for (const auto& path : concrete) { - ASSERT_GE(path.size(), 2); - EXPECT_EQ(path.front().first, 0); - EXPECT_EQ(path.back().first, 1); - // Verify no repeated nodes (simple path) - std::set visited; - for (const auto& [node, edges] : path) { - EXPECT_TRUE(visited.insert(node).second) - << "Node " << node << " appears twice in path (cycle)"; - } - } - } -} - -// Regression: a max_cost_factor below 1.0 puts the cost ceiling under the shortest -// path, so no path is admitted. The k > 1 loop opened with paths.back() on that empty -// vector -- undefined behaviour. The k == 1 early return masked it, so only k >= 2 hit -// it. All k must now agree and return no paths. -TEST(KSP, MaxCostFactorBelowOne_ReturnsEmptyForAllK) { - auto g = make_line_graph(3); - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - for (int k : {1, 2, 5}) { - KspOptions opts; - opts.k = k; - opts.max_cost_factor = 0.5; - auto out = algs.ksp(gh, 0, 2, opts); - EXPECT_TRUE(out.empty()) << "k=" << k << " should admit no path under a sub-1.0 factor"; - } - // A factor of exactly 1.0 still admits the shortest path. - KspOptions ok; - ok.k = 3; - ok.max_cost_factor = 1.0; - EXPECT_EQ(algs.ksp(gh, 0, 2, ok).size(), 1u); -} diff --git a/tests/cpp/masking_tests.cpp b/tests/cpp/masking_tests.cpp index 7af26d3..117ea02 100644 --- a/tests/cpp/masking_tests.cpp +++ b/tests/cpp/masking_tests.cpp @@ -1,646 +1,74 @@ -/** - * Comprehensive tests for masking behavior in NetGraph-Core. - * - * These tests verify: - * 1. Node and edge mask semantics (true = allowed, false = excluded) - * 2. Masked source node handling (should return empty DAG) - * 3. Masked destination node handling - * 4. Mask validation (length checking) - * 5. Combination of node and edge masks - * 6. Interaction with residual capacity gating - * 7. Masking in max_flow and k_shortest_paths - */ - +// Eligibility (APPROACH 4) as the 1a graph builds it: dense node and edge flags from excluded +// ids, graph-bound, uid 0 for the all-allowed value. #include -#include -#include "netgraph/core/shortest_paths.hpp" -#include "netgraph/core/max_flow.hpp" -#include "netgraph/core/k_shortest_paths.hpp" + +#include +#include +#include + #include "netgraph/core/strict_multidigraph.hpp" -#include "netgraph/core/backend.hpp" -#include "netgraph/core/algorithms.hpp" -#include "netgraph/core/options.hpp" -#include "netgraph/core/flow_state.hpp" #include "test_utils.hpp" using namespace netgraph::core; using namespace netgraph::core::test; -// ============================================================================ -// Masked Source Tests -// ============================================================================ - -TEST(MaskingTests, MaskedSourceReturnsEmptyDAG) { - // CRITICAL BUG FIX TEST: When source is masked out, SPF must return empty DAG - // and leave all distances at infinity. - auto g = make_line_graph(3); // 0->1->2 - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - - // Mask out source node 0 - auto node_mask = make_bool_mask(g.num_nodes()); - node_mask[0] = false; - - auto [dist, dag] = shortest_paths( - g, 0, std::nullopt, true, sel, {}, - std::span(node_mask.get(), g.num_nodes()), {}); - - // All distances should remain at infinity - EXPECT_EQ(dist[0], std::numeric_limits::max()); - EXPECT_EQ(dist[1], std::numeric_limits::max()); - EXPECT_EQ(dist[2], std::numeric_limits::max()); - - // DAG should be empty (all offsets zero) - EXPECT_EQ(dag.parent_offsets.size(), static_cast(g.num_nodes() + 1)); - for (const auto& offset : dag.parent_offsets) { - EXPECT_EQ(offset, 0) << "DAG should be empty when source is masked"; - } - EXPECT_EQ(dag.parents.size(), 0); - EXPECT_EQ(dag.via_edges.size(), 0); -} - -TEST(MaskingTests, MaskedSourceWithDestination) { - // Test masked source with explicit destination - auto g = make_line_graph(3); - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - - auto node_mask = make_bool_mask(g.num_nodes()); - node_mask[0] = false; // Mask source - - auto [dist, dag] = shortest_paths( - g, 0, NodeId(2), true, sel, {}, - std::span(node_mask.get(), g.num_nodes()), {}); - - // Destination should be unreachable - EXPECT_EQ(dist[2], std::numeric_limits::max()); - - // DAG should be empty - EXPECT_EQ(dag.parent_offsets.size(), static_cast(g.num_nodes() + 1)); - for (const auto& offset : dag.parent_offsets) { - EXPECT_EQ(offset, 0); - } -} - -TEST(MaskingTests, MaskedSourceInMaxFlow) { - // Test masked source in max_flow algorithm - auto g = make_line_graph(3); - - auto node_mask = make_bool_mask(g.num_nodes()); - node_mask[0] = false; // Mask source - - auto [flow_val, summary] = calc_max_flow( - g, 0, 2, - FlowPlacement::Proportional, false, true, true, false, false, - std::span(node_mask.get(), g.num_nodes()), {}); - - // No flow should be possible - EXPECT_DOUBLE_EQ(flow_val, 0.0); - - // Edge flows may be empty or all zeros when no flow is possible - if (!summary.edge_flows.empty()) { - for (const auto& ef : summary.edge_flows) { - EXPECT_DOUBLE_EQ(ef, 0.0); - } - } -} - -TEST(MaskingTests, MaskedSourceInComputeMinCut) { - // Test masked source in FlowState::compute_min_cut (early return optimization) - auto g = make_triangle_topology(); - FlowState fs(g); - - auto node_mask = make_bool_mask(g.num_nodes()); - node_mask[0] = false; // Mask source - - auto mincut = fs.compute_min_cut( - 0, - std::span(node_mask.get(), g.num_nodes()), - {}); - - // Min cut should be empty when source is masked (early return) - EXPECT_EQ(mincut.edges.size(), 0); -} - -TEST(MaskingTests, OutOfRangeSourceInComputeMinCut) { - // Test early return for out-of-range source in compute_min_cut - auto g = make_triangle_topology(); - FlowState fs(g); - - // Test negative source - auto mincut = fs.compute_min_cut(-1, {}, {}); - EXPECT_EQ(mincut.edges.size(), 0); - - // Test source >= num_nodes - mincut = fs.compute_min_cut(999, {}, {}); - EXPECT_EQ(mincut.edges.size(), 0); -} - -// ============================================================================ -// Masked Destination Tests -// ============================================================================ - -TEST(MaskingTests, MaskedDestinationUnreachable) { - auto g = make_line_graph(3); // 0->1->2 - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - - // Mask out destination node 2 - auto node_mask = make_bool_mask(g.num_nodes()); - node_mask[2] = false; - - auto [dist, dag] = shortest_paths( - g, 0, std::nullopt, true, sel, {}, - std::span(node_mask.get(), g.num_nodes()), {}); - - // Source and node 1 should be reachable - EXPECT_DOUBLE_EQ(dist[0], 0.0); - EXPECT_DOUBLE_EQ(dist[1], 1.0); - - // Destination should be unreachable - EXPECT_EQ(dist[2], std::numeric_limits::max()); - - // Node 2 should have no predecessors - auto start = static_cast(dag.parent_offsets[2]); - auto end = static_cast(dag.parent_offsets[3]); - EXPECT_EQ(start, end) << "Masked node should have no predecessors"; -} - -TEST(MaskingTests, MaskedIntermediateNode) { - auto g = make_line_graph(3); // 0->1->2 - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - - // Mask out intermediate node 1 - auto node_mask = make_bool_mask(g.num_nodes()); - node_mask[1] = false; - - auto [dist, dag] = shortest_paths( - g, 0, NodeId(2), true, sel, {}, - std::span(node_mask.get(), g.num_nodes()), {}); - - // Source reachable - EXPECT_DOUBLE_EQ(dist[0], 0.0); - - // Nodes 1 and 2 should be unreachable (path broken) - EXPECT_EQ(dist[1], std::numeric_limits::max()); - EXPECT_EQ(dist[2], std::numeric_limits::max()); -} - -// ============================================================================ -// Edge Mask Tests -// ============================================================================ - -TEST(MaskingTests, MaskedEdgeBlocksPath) { - auto g = make_line_graph(3); // 0->1->2 - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - - // Mask out first edge (0->1) - auto edge_mask = make_bool_mask(g.num_edges()); - edge_mask[0] = false; - - auto [dist, dag] = shortest_paths( - g, 0, std::nullopt, true, sel, {}, {}, - std::span(edge_mask.get(), g.num_edges())); - - EXPECT_DOUBLE_EQ(dist[0], 0.0); - EXPECT_EQ(dist[1], std::numeric_limits::max()); - EXPECT_EQ(dist[2], std::numeric_limits::max()); -} - -TEST(MaskingTests, MaskedEdgeSelectsAlternativePath) { - // Create graph with two paths: 0->1->3 and 0->2->3 - auto g = make_simple_parallel_paths_topology(); - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - - // Mask out edge 0->1 (first edge) - auto edge_mask = make_bool_mask(g.num_edges()); - edge_mask[0] = false; - - auto [dist, dag] = shortest_paths( - g, 0, NodeId(3), true, sel, {}, {}, - std::span(edge_mask.get(), g.num_edges())); - - // Should still reach destination via alternative path 0->2->3 - EXPECT_DOUBLE_EQ(dist[0], 0.0); - EXPECT_EQ(dist[1], std::numeric_limits::max()); // Node 1 masked - EXPECT_DOUBLE_EQ(dist[2], 1.0); // Via 0->2 - EXPECT_DOUBLE_EQ(dist[3], 2.0); // Via 0->2->3 -} - -TEST(MaskingTests, MultipleEdgesMasked) { - auto g = make_square_graph(2); // Two equal-cost paths - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - - // Mask out multiple edges - auto edge_mask = make_bool_mask(g.num_edges()); - edge_mask[1] = false; // Block one path - - auto [dist, dag] = shortest_paths( - g, 0, std::nullopt, true, sel, {}, {}, - std::span(edge_mask.get(), g.num_edges())); - - // Should still have one path to destination - EXPECT_DOUBLE_EQ(dist[0], 0.0); - EXPECT_GT(dist[2], 0.0); - EXPECT_LT(dist[2], std::numeric_limits::max()); -} - -// ============================================================================ -// Combined Node and Edge Mask Tests -// ============================================================================ - -TEST(MaskingTests, CombinedNodeAndEdgeMasks) { - // Create a grid graph with multiple paths - auto g = make_grid_graph(3, 3); // 3x3 grid - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - - // Mask out some nodes and edges to create specific topology - auto node_mask = make_bool_mask(g.num_nodes()); - node_mask[4] = false; // Mask center node - - auto edge_mask = make_bool_mask(g.num_edges()); - // Find and mask specific edge (e.g., 0->1) - auto edge_src = g.edge_src_view(); - for (std::int32_t e = 0; e < g.num_edges(); ++e) { - if (edge_src[e] == 0 && e == 0) { - edge_mask[e] = false; - } +namespace { + +std::vector flags(std::span s) { return std::vector(s.begin(), s.end()); } + +} // namespace + +TEST(Eligibility, AllAllowedHasUidZero) { + auto g = make_graph(3, {{0, 1, 1, 1}, {1, 2, 1, 1}}); + auto el = g.eligibility(); + EXPECT_EQ(el.uid(), 0u); + EXPECT_EQ(el.graph_uid(), g.uid()); + EXPECT_EQ(flags(el.node_allowed()), (std::vector{1, 1, 1})); + EXPECT_EQ(flags(el.edge_allowed()), (std::vector{1, 1})); +} + +TEST(Eligibility, ExcludedNodeExcludesIncidentEdges) { + // In-edges, out-edges and a self-loop of the excluded node. + auto g = make_graph(4, {{0, 1, 1, 1}, {1, 2, 1, 1}, {2, 3, 1, 1}, {1, 1, 1, 2}, {3, 0, 1, 1}}); + const auto inv = id_of_input(g); + const std::vector xn = {1}; + auto el = g.eligibility(xn, {}); + EXPECT_NE(el.uid(), 0u); + EXPECT_EQ(flags(el.node_allowed()), (std::vector{1, 0, 1, 1})); + auto allowed_in = to_input(g, std::vector(el.edge_allowed().begin(), el.edge_allowed().end())); + EXPECT_EQ(std::vector(allowed_in.begin(), allowed_in.end()), (std::vector{0, 0, 1, 0, 1})); + EXPECT_FALSE(el.edge_ok(inv[0])); + EXPECT_TRUE(el.edge_ok(inv[2])); +} + +TEST(Eligibility, ExcludedEdgesDuplicatesAndOrder) { + auto g = make_graph(3, {{0, 1, 1, 1}, {1, 2, 1, 1}, {0, 2, 1, 5}}); + const std::vector xe = {2, 0, 2}; + const std::vector xn = {2, 2}; + auto el = g.eligibility(xn, xe); + EXPECT_EQ(flags(el.node_allowed()), (std::vector{1, 1, 0})); + for (EdgeId e = 0; e < 3; ++e) { + const bool excluded = e == 0 || e == 2 || g.edge_dst()[static_cast(e)] == 2; + EXPECT_EQ(el.edge_ok(e), !excluded) << e; } - - auto [dist, dag] = shortest_paths( - g, 0, std::nullopt, true, sel, {}, - std::span(node_mask.get(), g.num_nodes()), - std::span(edge_mask.get(), g.num_edges())); - - // Verify source is reachable - EXPECT_DOUBLE_EQ(dist[0], 0.0); - - // Verify masked node is unreachable - EXPECT_EQ(dist[4], std::numeric_limits::max()); - - // DAG should be valid - expect_pred_dag_valid(dag, g.num_nodes()); } -TEST(MaskingTests, NodeMaskOverridesEdgeMask) { - // When both node and edge are masked, node mask takes precedence - // (if a node is masked, all its edges are implicitly unavailable) - auto g = make_line_graph(3); - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - - auto node_mask = make_bool_mask(g.num_nodes()); - node_mask[1] = false; // Mask node 1 - - auto edge_mask = make_bool_mask(g.num_edges()); - // Even if edges are allowed, masked node should block them - // (all edges true) - - auto [dist, dag] = shortest_paths( - g, 0, std::nullopt, true, sel, {}, - std::span(node_mask.get(), g.num_nodes()), - std::span(edge_mask.get(), g.num_edges())); - - // Node 1 and beyond should be unreachable - EXPECT_DOUBLE_EQ(dist[0], 0.0); - EXPECT_EQ(dist[1], std::numeric_limits::max()); - EXPECT_EQ(dist[2], std::numeric_limits::max()); -} - -// ============================================================================ -// Mask Interaction with Residual Capacity -// ============================================================================ - -TEST(MaskingTests, MaskWithResidualCapacity) { - auto g = make_line_graph(4); // 0->1->2->3 - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = true; // Enable residual filtering - - // Set residual capacity - std::vector residual(g.num_edges(), 1.0); - residual[1] = 0.0; // Zero capacity on edge 1->2 - - // Also mask out edge 2->3 - auto edge_mask = make_bool_mask(g.num_edges()); - edge_mask[2] = false; - - auto [dist, dag] = shortest_paths( - g, 0, std::nullopt, true, sel, residual, {}, - std::span(edge_mask.get(), g.num_edges())); - - // Should reach node 1 but not beyond - EXPECT_DOUBLE_EQ(dist[0], 0.0); - EXPECT_DOUBLE_EQ(dist[1], 1.0); - EXPECT_EQ(dist[2], std::numeric_limits::max()); // Blocked by residual - EXPECT_EQ(dist[3], std::numeric_limits::max()); // Blocked by mask -} - -TEST(MaskingTests, ResidualAndNodeMaskCombined) { - auto g = make_simple_parallel_paths_topology(); // Two parallel paths - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = true; - - // Zero capacity on one path - std::vector residual(g.num_edges(), 1.0); - residual[0] = 0.0; // Block 0->1 - - // Mask intermediate node on other path - auto node_mask = make_bool_mask(g.num_nodes()); - node_mask[2] = false; // Block 0->2->3 path - - auto [dist, dag] = shortest_paths( - g, 0, NodeId(3), true, sel, residual, - std::span(node_mask.get(), g.num_nodes()), {}); - - // Destination should be unreachable (both paths blocked) - EXPECT_EQ(dist[3], std::numeric_limits::max()); -} - -// ============================================================================ -// K-Shortest Paths with Masks -// ============================================================================ - -TEST(MaskingTests, KSPWithNodeMask) { - auto g = make_square_graph(2); // Two equal-cost paths - - // Mask out one intermediate node - auto node_mask = make_bool_mask(g.num_nodes()); - node_mask[1] = false; // Block path through node 1 - - auto results = k_shortest_paths( - g, 0, 2, 2, std::nullopt, true, - std::span(node_mask.get(), g.num_nodes()), {}); - - // Should find at most 1 path (through node 3) - EXPECT_LE(results.size(), 1); - - if (results.size() > 0) { - const auto& [dist, dag] = results[0]; - // Destination should be reachable via alternate path - EXPECT_GT(dist[2], 0.0); - EXPECT_LT(dist[2], std::numeric_limits::max()); - } -} - -TEST(MaskingTests, KSPWithEdgeMask) { - auto g = make_square_graph(2); // Two equal-cost paths - - // Mask out edges to eliminate one path - auto edge_mask = make_bool_mask(g.num_edges()); - edge_mask[0] = false; // Block first edge - - auto results = k_shortest_paths( - g, 0, 2, 2, std::nullopt, true, {}, - std::span(edge_mask.get(), g.num_edges())); - - // Should find remaining path(s) - EXPECT_EQ(results.size(), 1u); - - for (const auto& [dist, dag] : results) { - if (dist[2] < std::numeric_limits::max()) { - expect_pred_dag_valid(dag, g.num_nodes()); - } - } -} - -// ============================================================================ -// Max Flow with Masks -// ============================================================================ - -TEST(MaskingTests, MaxFlowWithNodeMask) { - auto g = make_simple_parallel_paths_topology(); - - // Mask out one intermediate node - auto node_mask = make_bool_mask(g.num_nodes()); - node_mask[1] = false; // Block path through node 1 - - auto [flow_val, summary] = calc_max_flow( - g, 0, 3, - FlowPlacement::Proportional, false, true, true, false, false, - std::span(node_mask.get(), g.num_nodes()), {}); - - // Should get flow only through remaining path - EXPECT_GT(flow_val, 0.0); - EXPECT_LE(flow_val, 1.0); // Only one path available - - // Validate constraints - validate_capacity_constraints(g, summary); - validate_flow_conservation(g, summary, 0, 3); -} - -TEST(MaskingTests, MaxFlowWithEdgeMask) { - auto g = make_triangle_topology(); - - // Mask out direct edge 0->2 - auto edge_src = g.edge_src_view(); - auto edge_dst = g.edge_dst_view(); - auto edge_mask = make_bool_mask(g.num_edges()); - - for (std::int32_t e = 0; e < g.num_edges(); ++e) { - if (edge_src[e] == 0 && edge_dst[e] == 2) { - edge_mask[e] = false; - } - } - - auto [flow_val, summary] = calc_max_flow( - g, 0, 2, - FlowPlacement::Proportional, false, true, true, false, false, - {}, - std::span(edge_mask.get(), g.num_edges())); - - // Should get flow only through indirect path 0->1->2 - EXPECT_GT(flow_val, 0.0); - EXPECT_LE(flow_val, 1.0); // Limited by bottleneck - - // Verify masked edge has no flow - for (std::int32_t e = 0; e < g.num_edges(); ++e) { - if (edge_src[e] == 0 && edge_dst[e] == 2) { - EXPECT_DOUBLE_EQ(summary.edge_flows[e], 0.0) - << "Masked edge should have zero flow"; - } - } -} - -TEST(MaskingTests, MaxFlowAllPathsMasked) { - auto g = make_line_graph(3); - - // Mask intermediate node to block all paths - auto node_mask = make_bool_mask(g.num_nodes()); - node_mask[1] = false; - - auto [flow_val, summary] = calc_max_flow( - g, 0, 2, - FlowPlacement::Proportional, false, true, true, false, false, - std::span(node_mask.get(), g.num_nodes()), {}); - - // No flow should be possible - EXPECT_DOUBLE_EQ(flow_val, 0.0); - - // All edge flows should be zero - for (const auto& ef : summary.edge_flows) { - EXPECT_DOUBLE_EQ(ef, 0.0); - } -} - -// ============================================================================ -// Empty Mask Tests (no masking applied) -// ============================================================================ - -TEST(MaskingTests, EmptyNodeMaskAllowsAllNodes) { - auto g = make_line_graph(3); - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - - // Empty mask means no masking - auto [dist, dag] = shortest_paths( - g, 0, std::nullopt, true, sel, {}, {}, {}); - - // All nodes should be reachable - EXPECT_DOUBLE_EQ(dist[0], 0.0); - EXPECT_DOUBLE_EQ(dist[1], 1.0); - EXPECT_DOUBLE_EQ(dist[2], 2.0); -} - -TEST(MaskingTests, EmptyEdgeMaskAllowsAllEdges) { - auto g = make_line_graph(3); - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - - // Empty mask means no masking - auto [dist, dag] = shortest_paths( - g, 0, std::nullopt, true, sel, {}, {}, {}); - - expect_pred_dag_valid(dag, g.num_nodes()); - - // All nodes should have valid paths - for (std::int32_t i = 0; i < g.num_nodes(); ++i) { - EXPECT_LT(dist[i], std::numeric_limits::max()); - } -} - -// ============================================================================ -// All-False Mask Tests -// ============================================================================ - -TEST(MaskingTests, AllNodesMaskedNoReachability) { - auto g = make_line_graph(3); - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - - // Mask all nodes - auto node_mask = make_bool_mask(g.num_nodes(), false); - - auto [dist, dag] = shortest_paths( - g, 0, std::nullopt, true, sel, {}, - std::span(node_mask.get(), g.num_nodes()), {}); - - // All nodes unreachable (including source) - for (std::int32_t i = 0; i < g.num_nodes(); ++i) { - EXPECT_EQ(dist[i], std::numeric_limits::max()); - } - - // DAG should be empty - for (const auto& offset : dag.parent_offsets) { - EXPECT_EQ(offset, 0); - } -} - -TEST(MaskingTests, AllEdgesMaskedNoReachability) { - auto g = make_line_graph(3); - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - - // Mask all edges - auto edge_mask = make_bool_mask(g.num_edges(), false); - - auto [dist, dag] = shortest_paths( - g, 0, std::nullopt, true, sel, {}, {}, - std::span(edge_mask.get(), g.num_edges())); - - // Only source should be reachable - EXPECT_DOUBLE_EQ(dist[0], 0.0); - - // All other nodes unreachable - for (std::int32_t i = 1; i < g.num_nodes(); ++i) { - EXPECT_EQ(dist[i], std::numeric_limits::max()); - } -} - -// ============================================================================ -// Backend (Algorithms API) Mask Tests -// ============================================================================ - -TEST(MaskingTests, AlgorithmsAPIMaskedSource) { - auto backend = make_cpu_backend(); - Algorithms algs(backend); - - auto g = make_line_graph(3); - auto gh = algs.build_graph(g); - - // Mask source - auto node_mask = make_bool_mask(g.num_nodes()); - node_mask[0] = false; - - SpfOptions opts; - opts.multipath = true; - opts.selection.multi_edge = true; - opts.selection.require_capacity = false; - opts.node_mask = std::span(node_mask.get(), g.num_nodes()); - - auto [dist, dag] = algs.spf(gh, 0, opts); - - // All distances should be infinity - for (const auto& d : dist) { - EXPECT_EQ(d, std::numeric_limits::max()); - } - - // DAG should be empty - for (const auto& offset : dag.parent_offsets) { - EXPECT_EQ(offset, 0); - } -} - -TEST(MaskingTests, AlgorithmsAPIMaxFlowWithMask) { - auto backend = make_cpu_backend(); - Algorithms algs(backend); - - auto g = make_simple_parallel_paths_topology(); - auto gh = algs.build_graph(g); - - // Mask one path - auto node_mask = make_bool_mask(g.num_nodes()); - node_mask[1] = false; - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.shortest_path = false; - opts.require_capacity = true; - opts.with_edge_flows = true; - opts.node_mask = std::span(node_mask.get(), g.num_nodes()); - - auto [flow_val, summary] = algs.max_flow(gh, 0, 3, opts); - - // Should get flow through remaining path only - EXPECT_GT(flow_val, 0.0); - EXPECT_LE(flow_val, 1.0); +TEST(Eligibility, DistinctUidsForEqualLists) { + auto g = make_graph(2, {{0, 1, 1, 1}}); + const std::vector xe = {0}; + auto a = g.eligibility({}, xe); + auto b = g.eligibility({}, xe); + EXPECT_NE(a.uid(), b.uid()); + EXPECT_NE(a.uid(), 0u); + EXPECT_EQ(flags(a.edge_allowed()), flags(b.edge_allowed())); +} + +TEST(Eligibility, OutOfRangeIdsRejected) { + auto g = make_graph(2, {{0, 1, 1, 1}}); + const std::vector bad_node = {2}; + const std::vector bad_edge = {1}; + const std::vector neg_node = {-1}; + EXPECT_THROW((void)g.eligibility(bad_node, {}), std::invalid_argument); + EXPECT_THROW((void)g.eligibility({}, bad_edge), std::invalid_argument); + EXPECT_THROW((void)g.eligibility(neg_node, {}), std::invalid_argument); } diff --git a/tests/cpp/max_flow_tests.cpp b/tests/cpp/max_flow_tests.cpp index cf14a92..b49378b 100644 --- a/tests/cpp/max_flow_tests.cpp +++ b/tests/cpp/max_flow_tests.cpp @@ -1,1338 +1,551 @@ -/** - * Comprehensive Max-Flow Algorithm Test Suite - * - * This suite systematically validates max-flow correctness across all parameter - * combinations and network topologies. The test matrix ensures complete coverage - * of algorithm behavior under various configurations. - * - * TEST MATRIX COVERAGE: - * - * Dimension 1: Path Structure - * - Single path - * - Multiple disjoint equal-cost paths (2, 3, 4, 10) - * - Multiple cost tiers (2-tier, 3-tier) - * - Complex topologies (grids, shared bottlenecks) - * - * Dimension 2: Capacity Patterns - * - Equal capacities across paths - * - Asymmetric capacities (1:100, 1:1M ratios) - * - Zero capacity edges - * - Bottleneck scenarios - * - * Dimension 3: Flow Placement - * - PROPORTIONAL: Capacity-weighted distribution - * - EQUAL_BALANCED: Uniform distribution across paths - * - * Dimension 4: Path Selection - * - shortest_path=False: Multi-tier max-flow (use all cost tiers) - * - shortest_path=True: Single-tier flow (lowest cost tier only) - * - * Dimension 5: Optional Features - * - Node/edge masking - * - Batch operations - * - Flow details (edge flows, residuals, min-cut) - * - * INVARIANT PROPERTIES VALIDATED: - * - Flow conservation at intermediate nodes - * - Capacity constraints on all edges - * - Cost distribution consistency - * - Min-cut correctness - */ - +// The flow core of APPROACH 2.2 through place_global_units: the review witnesses (expected +// values derived by hand and from prototype 1, `prototypes/p1_amount/flowcore.py`), the +// certificate in its two branches, input validation, determinism, and randomized graphs +// certified against an exhaustive optimum (tier a) and an independent solver (tier b). #include + +#include +#include +#include +#include +#include +#include +#include + #include "netgraph/core/max_flow.hpp" -#include "netgraph/core/backend.hpp" -#include "netgraph/core/algorithms.hpp" -#include "netgraph/core/strict_multidigraph.hpp" #include "test_utils.hpp" using namespace netgraph::core; using namespace netgraph::core::test; -//============================================================================= -// SECTION 1: BASIC CORRECTNESS - SINGLE PATH SCENARIOS -//============================================================================= - -TEST(MaxFlow, SinglePath_BasicLinear) { - // Validates basic max-flow computation on simplest topology - auto g = make_line_graph(3); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.shortest_path = false; - - auto [total, summary] = algs.max_flow(gh, 0, 2, opts); - - EXPECT_NEAR(total, 1.0, 1e-9) << "Single path with unit capacity"; -} - -TEST(MaxFlow, SinglePath_BottleneckConstraint) { - // Validates that bottleneck edge correctly limits total flow - // Topology: 0→1 (cap 10), 1→2 (cap 2), 2→3 (cap 10) - std::int32_t src[3] = {0, 1, 2}; - std::int32_t dst[3] = {1, 2, 3}; - double cap[3] = {10.0, 2.0, 10.0}; - std::int64_t cost[3] = {1, 1, 1}; - - auto g = StrictMultiDiGraph::from_arrays(4, - std::span(src, 3), std::span(dst, 3), - std::span(cap, 3), std::span(cost, 3)); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - - auto [total, summary] = algs.max_flow(gh, 0, 3, opts); - - EXPECT_NEAR(total, 2.0, 1e-9) << "Flow limited by bottleneck edge capacity"; -} - -TEST(MaxFlow, SinglePath_ShortestPathEquivalence) { - // For single-path networks, shortest_path=True/False should be identical - auto g = make_line_graph(3); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); +namespace { - MaxFlowOptions opts_full; - opts_full.placement = FlowPlacement::Proportional; - opts_full.shortest_path = false; - auto [total_full, _] = algs.max_flow(gh, 0, 2, opts_full); +constexpr Amount kL62m1 = (Amount{1} << 62) - 1; - MaxFlowOptions opts_sp; - opts_sp.placement = FlowPlacement::Proportional; - opts_sp.shortest_path = true; - auto [total_sp, __] = algs.max_flow(gh, 0, 2, opts_sp); - - EXPECT_NEAR(total_full, 1.0, 1e-9); - EXPECT_NEAR(total_sp, 1.0, 1e-9); - EXPECT_NEAR(total_full, total_sp, 1e-9) - << "shortest_path flag should not affect single-path networks"; -} - -TEST(MaxFlow, DegenerateCase_SourceEqualsSink) { - // Validates handling of degenerate case where source = sink - auto g = make_line_graph(3); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - - auto [total, summary] = algs.max_flow(gh, 1, 1, opts); - - EXPECT_NEAR(total, 0.0, 1e-12) << "Flow from node to itself must be zero"; -} - -//============================================================================= -// SECTION 2: EQUAL-COST MULTIPATH (ECMP) - CORE VALIDATION -// -// This section systematically validates that when multiple paths have equal -// cost, the algorithm correctly utilizes ALL paths to maximize throughput. -// This is critical for data center fabrics (Clos, spine-leaf) where ECMP -// load balancing across equal-cost paths is the primary traffic distribution -// mechanism. -//============================================================================= - -TEST(MaxFlow, ECMP_TwoPaths_Proportional_ShortestPath) { - // Validates ECMP with 2 parallel equal-cost paths - // Topology: Two disjoint paths from 0→3, each with capacity 10.0 - // shortest_path=True should saturate both paths (not just one) - auto g = make_n_disjoint_paths(2, 10.0); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.shortest_path = true; - opts.with_edge_flows = true; - - auto [total, summary] = algs.max_flow(gh, 0, 3, opts); - - EXPECT_NEAR(total, 20.0, 1e-9) - << "shortest_path=True must saturate all equal-cost paths"; - - // Verify both paths carry significant flow - EXPECT_GT(summary.edge_flows[0], 5.0) << "Path 1 should be utilized"; - EXPECT_GT(summary.edge_flows[2], 5.0) << "Path 2 should be utilized"; - - validate_capacity_constraints(g, summary); - validate_flow_conservation(g, summary, 0, 3); +// The counters fixed by the normative per-tier order and the augmenting-path sequence, compared +// with prototype 1: dijkstra_runs, dijkstra_pops, settled, dinic_phases, augmentations. arc_scans +// is the implementation's own diagnostic (the level search here first marks the vertices that +// reach t* and stops at t*'s level, so it examines a different number of arcs than the +// prototype's full BFS); it is checked for determinism and presence only. +using Counters = std::vector; +Counters counters_of(const FlowCoreResult& r) { + const auto& c = r.counters; + EXPECT_GE(c.arc_scans, c.dijkstra_runs > 0 ? 1 : 0); + return {c.dijkstra_runs, c.dijkstra_pops, c.settled, c.dinic_phases, c.augmentations}; } -TEST(MaxFlow, ECMP_TwoPaths_Proportional_FullMaxFlow) { - // Same topology, but shortest_path=False for comparison - auto g = make_n_disjoint_paths(2, 10.0); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.shortest_path = false; - opts.with_edge_flows = true; - - auto [total, summary] = algs.max_flow(gh, 0, 3, opts); - - EXPECT_NEAR(total, 20.0, 1e-9) << "Full max-flow should use both paths"; - - validate_capacity_constraints(g, summary); - validate_flow_conservation(g, summary, 0, 3); +std::vector chain_plus_bypasses(Cost factor = 1) { + // Chain 0-1-2-3 of cost 1 with bypasses 0->2 and 1->3 of cost 3, unit capacities. + return {{0, 1, 1, factor}, {1, 2, 1, factor}, {2, 3, 1, factor}, {0, 2, 1, 3 * factor}, {1, 3, 1, 3 * factor}}; } -TEST(MaxFlow, ECMP_TwoPaths_EqualBalanced_ShortestPath) { - // Same topology with EQUAL_BALANCED placement - // Should distribute flow uniformly across both paths - auto g = make_n_disjoint_paths(2, 10.0); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::EqualBalanced; - opts.shortest_path = true; - opts.with_edge_flows = true; - - auto [total, summary] = algs.max_flow(gh, 0, 3, opts); - - EXPECT_NEAR(total, 20.0, 1e-9) << "Equal-balanced should use both paths"; - - // With equal capacities, both paths should have equal flow - EXPECT_NEAR(summary.edge_flows[0], 10.0, 1e-9) << "Path 1 should be saturated"; - EXPECT_NEAR(summary.edge_flows[2], 10.0, 1e-9) << "Path 2 should be saturated"; - - validate_capacity_constraints(g, summary); - validate_flow_conservation(g, summary, 0, 3); +void expect_certified(const StrictMultiDiGraph& g, const std::vector& s, const std::vector& d, + std::optional cap, const FlowCoreResult& r, const std::vector* view = nullptr, + const Eligibility* elig = nullptr, bool tier_a = true) { + std::vector full(g.capacity_units().begin(), g.capacity_units().end()); + const auto& v = view ? *view : full; + const auto fails = certify(g, v, s, d, cap, elig, r, tier_a); + EXPECT_TRUE(fails.empty()) << (fails.empty() ? "" : fails.front()); } -TEST(MaxFlow, ECMP_ThreePaths_Proportional_ShortestPath) { - // Extends ECMP validation to 3 equal-cost paths - auto g = make_n_disjoint_paths(3, 10.0); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.shortest_path = true; - opts.with_edge_flows = true; - - auto [total, summary] = algs.max_flow(gh, 0, 4, opts); - - EXPECT_NEAR(total, 30.0, 1e-9) - << "Should saturate all 3 equal-cost paths"; - - // Each path should carry significant flow (~10.0) - for (int i = 0; i < 3; ++i) { - EXPECT_GT(summary.edge_flows[i * 2], 5.0) - << "Path " << i << " should be utilized"; +std::string error_of(const std::function& fn) { + try { + fn(); + } catch (const std::invalid_argument& e) { + return e.what(); } - - validate_capacity_constraints(g, summary); - validate_flow_conservation(g, summary, 0, 4); -} - -TEST(MaxFlow, ECMP_FourPaths_ClosFabric_Simulation) { - // Simulates 4-spine Clos fabric (common data center topology) - // Each spine provides an equal-cost path with 100 Gbps capacity - auto g = make_n_disjoint_paths(4, 100.0); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.shortest_path = true; - opts.with_edge_flows = true; - - auto [total, summary] = algs.max_flow(gh, 0, 5, opts); - - EXPECT_NEAR(total, 400.0, 1e-9) - << "4-spine Clos: aggregate bandwidth should be 400 Gbps"; - - validate_capacity_constraints(g, summary); - validate_flow_conservation(g, summary, 0, 5); -} - -TEST(MaxFlow, ECMP_TenPaths_ScalabilityValidation) { - // Validates algorithm scalability with many parallel equal-cost paths - auto g = make_n_disjoint_paths(10, 10.0); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.shortest_path = true; - opts.with_edge_flows = true; - - auto [total, summary] = algs.max_flow(gh, 0, 11, opts); - - EXPECT_NEAR(total, 100.0, 1e-9) - << "Should saturate all 10 equal-cost paths"; - - validate_capacity_constraints(g, summary); - validate_flow_conservation(g, summary, 0, 11); -} - -//============================================================================= -// SECTION 3: ASYMMETRIC CAPACITY PATTERNS -// -// Real networks often have paths with very different capacities due to -// heterogeneous equipment, upgrades, or failures. These tests validate -// correct behavior under capacity asymmetry. -//============================================================================= - -TEST(MaxFlow, AsymmetricCapacity_1to100_Proportional) { - // Two equal-cost paths with 100x capacity difference - // Path 1: capacity 1.0, Path 2: capacity 100.0 - std::int32_t src_arr[4] = {0, 1, 0, 2}; - std::int32_t dst_arr[4] = {1, 3, 2, 3}; - double cap_arr[4] = {1.0, 1.0, 100.0, 100.0}; - std::int64_t cost_arr[4] = {1, 1, 1, 1}; // Equal cost - - auto g = StrictMultiDiGraph::from_arrays(4, - std::span(src_arr, 4), std::span(dst_arr, 4), - std::span(cap_arr, 4), std::span(cost_arr, 4)); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.shortest_path = true; - opts.with_edge_flows = true; - - auto [total, summary] = algs.max_flow(gh, 0, 3, opts); - - // Should use both paths despite capacity asymmetry - EXPECT_NEAR(total, 101.0, 1e-9) << "Total flow should be 1.0 + 100.0"; - - // Validate per-edge flows by (u,v) lookup instead of relying on edge indices - auto row = g.row_offsets_view(); - auto col = g.col_indices_view(); - auto aei = g.adj_edge_index_view(); - auto eid_uv = [&](int u, int v) -> std::size_t { - auto s = static_cast(row[static_cast(u)]); - auto e = static_cast(row[static_cast(u) + 1]); - for (std::size_t j = s; j < e; ++j) { - if (static_cast(col[j]) == v) return static_cast(aei[j]); + return ""; +} + +} // namespace + +TEST(FlowCore, QuantisedCapacitiesFamily) { + // Physical 2.5q is 3 units and 0.5q is 1 unit (review-2 R1 at 1a: the quantised network). + const double q = std::ldexp(1.0, -12); + const Amount a = to_units(2.5 * q, q); + const Amount b = to_units(0.5 * q, q); + ASSERT_EQ(a, 3); + ASSERT_EQ(b, 1); + auto g = make_graph(3, {{0, 1, a, 1}, {1, 2, a, 1}, {0, 2, b, 3}}, q); + auto r = solve(g, {0}, {2}, std::nullopt); + EXPECT_EQ(r.placed, 4); + EXPECT_EQ(r.cost_distribution, curve({{2, 3}, {3, 1}})); + ASSERT_TRUE(r.min_cut.has_value()); + EXPECT_EQ(ids_to_input(g, *r.min_cut), (std::vector{0, 2})); + EXPECT_EQ(r.potentials, (std::vector{0, 2, 3})); + EXPECT_EQ(counters_of(r), (Counters{3, 13, 12, 4, 2})); + expect_certified(g, {0}, {2}, std::nullopt, r); +} + +TEST(FlowCore, ChainPlusBypassesCancellation) { + // review-14 flow.chain, review-1 C7: value 2 needs the middle edge cancelled. + auto g = make_graph(4, chain_plus_bypasses()); + auto one = solve(g, {0}, {3}, 1); + EXPECT_EQ(one.placed, 1); + EXPECT_EQ(one.cost_distribution, curve({{3, 1}})); + EXPECT_EQ(to_input(g, one.edge_flows), (std::vector{1, 1, 1, 0, 0})); + EXPECT_FALSE(one.min_cut.has_value()); // review-14 flow.finite_cap: value 1 of a maximum 2 + EXPECT_EQ(counters_of(one), (Counters{1, 8, 6, 1, 1})); + expect_certified(g, {0}, {3}, 1, one); + auto two = solve(g, {0}, {3}, 2); + EXPECT_EQ(two.placed, 2); + EXPECT_EQ(two.cost_distribution, curve({{3, 1}, {5, 1}})); // C(1) = 3, C(2) = 8 + EXPECT_EQ(to_input(g, two.edge_flows), (std::vector{1, 0, 1, 1, 1})); + ASSERT_TRUE(two.min_cut.has_value()); + EXPECT_EQ(ids_to_input(g, *two.min_cut), (std::vector{0, 3})); + EXPECT_EQ(two.potentials, (std::vector{0, 2, 3, 5})); + EXPECT_EQ(counters_of(two), (Counters{2, 14, 12, 3, 2})); + expect_certified(g, {0}, {3}, 2, two); + auto inf = solve(g, {0}, {3}, std::nullopt); + EXPECT_EQ(inf.placed, 2); + EXPECT_EQ(inf.cost_distribution, two.cost_distribution); + EXPECT_EQ(inf.edge_flows, two.edge_flows); + EXPECT_EQ(inf.min_cut, two.min_cut); + EXPECT_EQ(counters_of(inf), (Counters{3, 16, 14, 4, 2})); // the final failed Dijkstra + expect_certified(g, {0}, {3}, std::nullopt, inf); +} + +TEST(FlowCore, ChainPlusBypassesMasksAndCostFactors) { + // The middle edge disabled by a zero view or excluded by Eligibility: curve [(4, 2)]. + auto g = make_graph(4, chain_plus_bypasses()); + const auto inv = id_of_input(g); + std::vector view(g.capacity_units().begin(), g.capacity_units().end()); + view[static_cast(inv[1])] = 0; + auto zero = solve(g, {0}, {3}, std::nullopt, &view); + EXPECT_EQ(zero.cost_distribution, curve({{4, 2}})); + EXPECT_EQ(to_input(g, zero.edge_flows), (std::vector{1, 0, 1, 1, 1})); + EXPECT_EQ(zero.potentials, (std::vector{0, 1, 3, 4})); + expect_certified(g, {0}, {3}, std::nullopt, zero, &view); + const std::vector excluded = {inv[1]}; + auto el = g.eligibility({}, excluded); + auto masked = solve(g, {0}, {3}, std::nullopt, nullptr, &el); + EXPECT_EQ(masked.cost_distribution, curve({{4, 2}})); + EXPECT_EQ(masked.edge_flows, zero.edge_flows); + EXPECT_EQ(masked.min_cut, zero.min_cut); + expect_certified(g, {0}, {3}, std::nullopt, masked, nullptr, &el); + // Excluding node 1 leaves 0 -> 2 -> 3 only. + const std::vector xn = {1}; + auto el_node = g.eligibility(xn, {}); + auto node_masked = solve(g, {0}, {3}, std::nullopt, nullptr, &el_node); + EXPECT_EQ(node_masked.cost_distribution, curve({{4, 1}})); + EXPECT_EQ(node_masked.potentials[1], kNeverReached); + expect_certified(g, {0}, {3}, std::nullopt, node_masked, nullptr, &el_node); + // Scaling every cost by a factor scales the curve and the potentials; the flows, the cut and + // the operation counters are unchanged. + for (Cost factor : {2, 7, 1000003}) { + auto gf = make_graph(4, chain_plus_bypasses(factor)); + auto base = solve(g, {0}, {3}, std::nullopt); + auto scaled = solve(gf, {0}, {3}, std::nullopt); + ASSERT_EQ(scaled.cost_distribution.size(), base.cost_distribution.size()); + for (std::size_t i = 0; i < base.cost_distribution.size(); ++i) { + EXPECT_EQ(scaled.cost_distribution[i].first, factor * base.cost_distribution[i].first); + EXPECT_EQ(scaled.cost_distribution[i].second, base.cost_distribution[i].second); } - ADD_FAILURE() << "Edge (" << u << "->" << v << ") not found"; - return static_cast(-1); - }; - auto e01 = eid_uv(0, 1); - auto e13 = eid_uv(1, 3); - auto e02 = eid_uv(0, 2); - auto e23 = eid_uv(2, 3); - ASSERT_NE(e01, static_cast(-1)); - ASSERT_NE(e13, static_cast(-1)); - ASSERT_NE(e02, static_cast(-1)); - ASSERT_NE(e23, static_cast(-1)); - // Small path saturated - EXPECT_NEAR(summary.edge_flows[e01], 1.0, 1e-9) - << "Low-capacity first hop should be fully utilized"; - EXPECT_NEAR(summary.edge_flows[e13], 1.0, 1e-9) - << "Low-capacity second hop should be fully utilized"; - // Large path saturated - EXPECT_NEAR(summary.edge_flows[e02], 100.0, 1e-9) - << "High-capacity first hop should be fully utilized"; - EXPECT_NEAR(summary.edge_flows[e23], 100.0, 1e-9) - << "High-capacity second hop should be fully utilized"; - - validate_capacity_constraints(g, summary); - validate_flow_conservation(g, summary, 0, 3); -} - -TEST(MaxFlow, AsymmetricCapacity_1to1M_NumericalStability) { - // Extreme capacity asymmetry: 1M:1 ratio - // Tests numerical stability of proportional placement - std::int32_t src_arr[4] = {0, 1, 0, 2}; - std::int32_t dst_arr[4] = {1, 3, 2, 3}; - double cap_arr[4] = {1.0, 1.0, 1000000.0, 1000000.0}; - std::int64_t cost_arr[4] = {1, 1, 1, 1}; - - auto g = StrictMultiDiGraph::from_arrays(4, - std::span(src_arr, 4), std::span(dst_arr, 4), - std::span(cap_arr, 4), std::span(cost_arr, 4)); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.shortest_path = true; - opts.with_edge_flows = true; - - auto [total, summary] = algs.max_flow(gh, 0, 3, opts); - - // Should handle extreme asymmetry without numerical issues - EXPECT_NEAR(total, 1000001.0, 1e-6) << "Should use both paths"; - - // Small path saturated - EXPECT_NEAR(summary.edge_flows[0], 1.0, 1e-9) - << "Small path should be saturated"; - - validate_capacity_constraints(g, summary); - validate_flow_conservation(g, summary, 0, 3); -} - -TEST(MaxFlow, AsymmetricCapacity_1to100_EqualBalanced) { - // Equal-balanced placement with asymmetric capacities - // Should be limited by minimum capacity across paths - std::int32_t src_arr[4] = {0, 1, 0, 2}; - std::int32_t dst_arr[4] = {1, 3, 2, 3}; - double cap_arr[4] = {1.0, 1.0, 100.0, 100.0}; - std::int64_t cost_arr[4] = {1, 1, 1, 1}; - - auto g = StrictMultiDiGraph::from_arrays(4, - std::span(src_arr, 4), std::span(dst_arr, 4), - std::span(cap_arr, 4), std::span(cost_arr, 4)); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::EqualBalanced; - opts.shortest_path = true; - opts.with_edge_flows = true; - - auto [total, summary] = algs.max_flow(gh, 0, 3, opts); - - // Equal-balanced: both paths get same flow, limited by min capacity - EXPECT_NEAR(total, 2.0, 1e-9) - << "Equal-balanced: 1.0 per path × 2 paths = 2.0"; - - // Both paths should have equal flow - EXPECT_NEAR(summary.edge_flows[0], 1.0, 1e-9) << "Path 1 saturated at min"; - EXPECT_NEAR(summary.edge_flows[2], 1.0, 1e-9) << "Path 2 limited to min"; - - validate_capacity_constraints(g, summary); - validate_flow_conservation(g, summary, 0, 3); -} - -TEST(MaxFlow, EqualBalanced_NodeMask_ReducesECMPWidth) { - // Two equal-cost paths 0->1->3 and 0->2->3 with cap=5 each. - // Mask out node 2; EB should place only on path via 1, limited by 5. - std::int32_t src_arr[4] = {0, 1, 0, 2}; - std::int32_t dst_arr[4] = {1, 3, 2, 3}; - double cap_arr[4] = {5.0, 5.0, 5.0, 5.0}; - std::int64_t cost_arr[4] = {1, 1, 1, 1}; - auto g = StrictMultiDiGraph::from_arrays(4, - std::span(src_arr, 4), std::span(dst_arr, 4), - std::span(cap_arr, 4), std::span(cost_arr, 4)); - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - MaxFlowOptions opts; - opts.placement = FlowPlacement::EqualBalanced; - opts.shortest_path = false; - opts.with_edge_flows = true; - // Node mask: disable node 2 - auto node_mask_vec = make_bool_mask(g.num_nodes()); - node_mask_vec[2] = false; - opts.node_mask = std::span(node_mask_vec.get(), static_cast(g.num_nodes())); - auto [total, summary] = algs.max_flow(gh, 0, 3, opts); - EXPECT_NEAR(total, 5.0, 1e-9) << "Only unmasked path should carry flow"; - // Validate that only path via 1 carries 5 - auto row = g.row_offsets_view(); - auto col = g.col_indices_view(); - auto aei = g.adj_edge_index_view(); - auto eid_uv = [&](int u, int v) -> std::size_t { - auto s = static_cast(row[static_cast(u)]); - auto e = static_cast(row[static_cast(u) + 1]); - for (std::size_t j = s; j < e; ++j) { - if (static_cast(col[j]) == v) return static_cast(aei[j]); + for (std::size_t v = 0; v < base.potentials.size(); ++v) { + EXPECT_EQ(scaled.potentials[v], factor * base.potentials[v]); } - return static_cast(-1); - }; - auto e01 = eid_uv(0, 1); - auto e13 = eid_uv(1, 3); - auto e02 = eid_uv(0, 2); - auto e23 = eid_uv(2, 3); - ASSERT_NE(e01, static_cast(-1)); - ASSERT_NE(e13, static_cast(-1)); - ASSERT_NE(e02, static_cast(-1)); - ASSERT_NE(e23, static_cast(-1)); - EXPECT_NEAR(summary.edge_flows[e01], 5.0, 1e-9); - EXPECT_NEAR(summary.edge_flows[e13], 5.0, 1e-9); - EXPECT_NEAR(summary.edge_flows[e02], 0.0, 1e-9); - EXPECT_NEAR(summary.edge_flows[e23], 0.0, 1e-9); - validate_capacity_constraints(g, summary); - validate_flow_conservation(g, summary, 0, 3); -} -TEST(MaxFlow, ZeroCapacityPath_CorrectFiltering) { - // One path with zero capacity should be ignored - // Tests correct residual capacity filtering - std::int32_t src_arr[4] = {0, 1, 0, 2}; - std::int32_t dst_arr[4] = {1, 3, 2, 3}; - double cap_arr[4] = {10.0, 10.0, 0.0, 0.0}; // Path 2 has zero capacity - std::int64_t cost_arr[4] = {1, 1, 1, 1}; - - auto g = StrictMultiDiGraph::from_arrays(4, - std::span(src_arr, 4), std::span(dst_arr, 4), - std::span(cap_arr, 4), std::span(cost_arr, 4)); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.shortest_path = true; - opts.with_edge_flows = true; - - auto [total, summary] = algs.max_flow(gh, 0, 3, opts); - - EXPECT_NEAR(total, 10.0, 1e-9) - << "Should route all flow via non-zero capacity path"; - - validate_capacity_constraints(g, summary); - validate_flow_conservation(g, summary, 0, 3); -} - -//============================================================================= -// SECTION 4: COST TIER VALIDATION -// -// Networks often have paths with different costs (distance, latency, monetary). -// The shortest_path parameter controls whether to use only lowest-cost paths -// or to utilize higher-cost paths for additional capacity. -//============================================================================= - -TEST(MaxFlow, TwoCostTiers_ShortestPath_SingleTierOnly) { - // Validates that shortest_path=True uses only lowest-cost tier - // Tier 1: cost=1, capacity=5 - // Tier 2: cost=2, capacity=100 - auto g = make_tiered_graph(5.0, 100.0); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.shortest_path = true; - opts.with_edge_flows = true; - - auto [total, summary] = algs.max_flow(gh, 0, 3, opts); - - // Should use ONLY cost=1 tier, NOT cost=2 tier - EXPECT_NEAR(total, 5.0, 1e-9) - << "shortest_path=True: use only lowest-cost tier"; - - // Tier 1 (cost=1) should be saturated - EXPECT_NEAR(summary.edge_flows[0], 5.0, 1e-9) - << "Lowest-cost path should be saturated"; - - // Tier 2 (cost=2) should NOT be used - EXPECT_NEAR(summary.edge_flows[2], 0.0, 1e-9) - << "Higher-cost tier should not be used"; - - // Verify cost distribution contains only one tier - EXPECT_EQ(summary.costs.size(), 1) << "Only one cost tier used"; - EXPECT_EQ(summary.costs[0], 2) << "Total cost = 2 (sum of 2 edges @ cost 1)"; - - validate_capacity_constraints(g, summary); - validate_flow_conservation(g, summary, 0, 3); -} - -TEST(MaxFlow, TwoCostTiers_FullMaxFlow_AllTiers) { - // Validates that shortest_path=False uses all available tiers - auto g = make_tiered_graph(5.0, 100.0); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.shortest_path = false; // Full max-flow - opts.with_edge_flows = true; - - auto [total, summary] = algs.max_flow(gh, 0, 3, opts); - - // Should use BOTH tiers - EXPECT_NEAR(total, 105.0, 1e-9) - << "Full max-flow should use all tiers (5 + 100 = 105)"; - - // Both tiers should be saturated - EXPECT_NEAR(summary.edge_flows[0], 5.0, 1e-9) << "Tier 1 saturated"; - EXPECT_NEAR(summary.edge_flows[2], 100.0, 1e-9) << "Tier 2 saturated"; - - // Verify cost distribution has TWO tiers - EXPECT_EQ(summary.costs.size(), 2) << "Two cost tiers used"; - - validate_capacity_constraints(g, summary); - validate_flow_conservation(g, summary, 0, 3); -} - -TEST(MaxFlow, EqualCost_ShortestVsFull_Equivalent) { - // When all paths have equal cost, shortest_path and full should be identical - auto g = make_n_disjoint_paths(3, 10.0); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts_full; - opts_full.placement = FlowPlacement::Proportional; - opts_full.shortest_path = false; - auto [total_full, _] = algs.max_flow(gh, 0, 4, opts_full); - - MaxFlowOptions opts_sp; - opts_sp.placement = FlowPlacement::Proportional; - opts_sp.shortest_path = true; - auto [total_sp, __] = algs.max_flow(gh, 0, 4, opts_sp); - - EXPECT_NEAR(total_full, total_sp, 1e-9) - << "With all equal-cost paths, both modes should be equivalent"; - EXPECT_NEAR(total_full, 30.0, 1e-9) << "Should saturate all 3 paths"; -} - -TEST(MaxFlow, ThreeCostTiers_ShortestPath_LowestTierOnly) { - // Validates shortest_path with 3+ cost tiers - // Path 1: 0→1→4 (cost=1 per edge, cap=5) - // Path 2: 0→2→4 (cost=2 per edge, cap=10) - // Path 3: 0→3→4 (cost=3 per edge, cap=20) - std::int32_t src_arr[6] = {0, 1, 0, 2, 0, 3}; - std::int32_t dst_arr[6] = {1, 4, 2, 4, 3, 4}; - double cap_arr[6] = {5.0, 5.0, 10.0, 10.0, 20.0, 20.0}; - std::int64_t cost_arr[6] = {1, 1, 2, 2, 3, 3}; - - auto g = StrictMultiDiGraph::from_arrays(5, - std::span(src_arr, 6), std::span(dst_arr, 6), - std::span(cap_arr, 6), std::span(cost_arr, 6)); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.shortest_path = true; - opts.with_edge_flows = true; - - auto [total, summary] = algs.max_flow(gh, 0, 4, opts); - - // Should use ONLY cost=1 tier - EXPECT_NEAR(total, 5.0, 1e-9) - << "Should use only lowest-cost tier (cost=1)"; - - // Only first path should have flow - EXPECT_NEAR(summary.edge_flows[0], 5.0, 1e-9) << "Path 1 (cost=1) saturated"; - EXPECT_NEAR(summary.edge_flows[2], 0.0, 1e-9) << "Path 2 (cost=2) unused"; - EXPECT_NEAR(summary.edge_flows[4], 0.0, 1e-9) << "Path 3 (cost=3) unused"; - - validate_capacity_constraints(g, summary); - validate_flow_conservation(g, summary, 0, 4); -} - -//============================================================================= -// SECTION 5: PLACEMENT MODE COMPARISON -// -// Direct comparison of PROPORTIONAL vs EQUAL_BALANCED behavior under -// various conditions. -//============================================================================= - -TEST(MaxFlow, PlacementModes_EqualCapacity_IdenticalResult) { - // With equal capacities, both modes should give same total flow - auto g = make_n_disjoint_paths(2, 10.0); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts_prop; - opts_prop.placement = FlowPlacement::Proportional; - opts_prop.shortest_path = true; - auto [total_prop, _] = algs.max_flow(gh, 0, 3, opts_prop); - - MaxFlowOptions opts_eq; - opts_eq.placement = FlowPlacement::EqualBalanced; - opts_eq.shortest_path = true; - auto [total_eq, __] = algs.max_flow(gh, 0, 3, opts_eq); - - // Both should saturate both paths - EXPECT_NEAR(total_prop, 20.0, 1e-9); - EXPECT_NEAR(total_eq, 20.0, 1e-9); - EXPECT_NEAR(total_prop, total_eq, 1e-9) - << "With equal capacities, both modes give same total"; -} - -//============================================================================= -// SECTION 6: FLOW PROPERTIES & INVARIANTS -// -// Validates fundamental flow properties: conservation, capacity constraints, -// min-cut correctness, cost distribution consistency. -//============================================================================= - -TEST(MaxFlow, FlowConservation_IntermediateNodes) { - // Validates flow conservation: inflow = outflow at intermediate nodes - auto g = make_square_graph(1); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.with_edge_flows = true; - - auto [total, summary] = algs.max_flow(gh, 0, 2, opts); - - EXPECT_EQ(summary.edge_flows.size(), static_cast(g.num_edges())); - - // Use helper to validate conservation at all intermediate nodes - validate_flow_conservation(g, summary, 0, 2); -} - -TEST(MaxFlow, MinCut_ValidEdgeIdentification) { - // Min-cut should separate source from sink with valid edge IDs - auto g = make_square_graph(1); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - - auto [total, summary] = algs.max_flow(gh, 0, 2, opts); - - // Min cut should contain edges - EXPECT_GT(summary.min_cut.edges.size(), 0) - << "Min-cut must separate source from sink"; - - // All cut edges should have valid IDs - for (auto eid : summary.min_cut.edges) { - EXPECT_GE(eid, 0) << "Edge ID must be non-negative"; - EXPECT_LT(eid, g.num_edges()) << "Edge ID must be in valid range"; + EXPECT_EQ(scaled.edge_flows, base.edge_flows); + EXPECT_EQ(scaled.min_cut, base.min_cut); + EXPECT_EQ(counters_of(scaled), counters_of(base)); + expect_certified(gf, {0}, {3}, std::nullopt, scaled); } } -TEST(MaxFlow, CostDistribution_AccountsForAllFlow) { - // Cost distribution should account for all flow - auto g = make_square_graph(1); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.with_edge_flows = true; - - auto [total, summary] = algs.max_flow(gh, 0, 2, opts); - - // Cost distribution flows should sum to total flow - double cost_sum = 0.0; - for (auto flow : summary.flows) { - cost_sum += flow; +TEST(FlowCore, EqualCostTierNeedsTwoDinicPhases) { + // review-14 flow.equal_cost_multiple_hop_tiers, review-16 solver.multiple_dinic_phases: + // C = {0: 0, 1: 3, 2: 6} in one tier of cost 3 drained by two successful level builds (plus the + // tier's last unsuccessful one). + auto g = make_graph(4, {{0, 3, 1, 3}, {0, 1, 1, 1}, {1, 2, 1, 1}, {2, 3, 1, 1}}); + auto r = solve(g, {0}, {3}, std::nullopt); + EXPECT_EQ(r.placed, 2); + EXPECT_EQ(r.cost_distribution, curve({{3, 2}})); + EXPECT_EQ(r.counters.dijkstra_runs, 2); + EXPECT_EQ(r.counters.dinic_phases, 3); + EXPECT_EQ(counters_of(r), (Counters{2, 8, 8, 3, 2})); + expect_certified(g, {0}, {3}, std::nullopt, r); +} + +TEST(FlowCore, CyclicAdmissibleNeedsUpdateBeforeDrain) { + // review-16 solver.cyclic_admissible: two parallel cost-1 links. Potentials are updated by + // the first Dijkstra before the drain (on the zero potentials no arc has reduced cost 0), and + // the zero-reduced-cost residual cycle 0 -> 1 -> 0 left after the first push is drained in + // the same tier. + auto g = make_graph(2, {{0, 1, 1, 1}, {0, 1, 1, 1}}); + auto r = solve(g, {0}, {1}, 2); + EXPECT_EQ(r.placed, 2); + EXPECT_EQ(r.cost_distribution, curve({{1, 2}})); + EXPECT_EQ(counters_of(r), (Counters{1, 4, 4, 1, 2})); + expect_certified(g, {0}, {1}, 2, r); + // review-17 partial_drain: cap 1 stops inside the tier; the destinations stay connected. + auto p = solve(g, {0}, {1}, 1); + EXPECT_EQ(p.placed, 1); + EXPECT_EQ(p.cost_distribution, curve({{1, 1}})); + EXPECT_FALSE(p.min_cut.has_value()); + EXPECT_EQ(counters_of(p), (Counters{1, 4, 4, 1, 1})); + expect_certified(g, {0}, {1}, 1, p); +} + +TEST(FlowCore, FailedFinalRunRaisesPotentials) { + // review-17 failed_final_run: the side branch 3 is reached at 8 by the first run and at 10 by + // the failed final run; dual feasibility is claimed inside the closure {0, 3} only. + auto g = make_graph(4, {{0, 1, 1, 1}, {1, 2, 1, 1}, {1, 3, 1, 7}, {0, 3, 1, 10}}); + auto r = solve(g, {0}, {2}, std::nullopt); + EXPECT_EQ(r.placed, 1); + EXPECT_EQ(r.cost_distribution, curve({{2, 1}})); + EXPECT_EQ(r.potentials, (std::vector{0, 1, 2, 10})); + ASSERT_TRUE(r.min_cut.has_value()); + EXPECT_EQ(ids_to_input(g, *r.min_cut), (std::vector{0})); + EXPECT_EQ(counters_of(r), (Counters{2, 10, 9, 2, 1})); + expect_certified(g, {0}, {2}, std::nullopt, r); +} + +TEST(FlowCore, FreshSolveUsesReleasedCheapEdge) { + // review-14 flow.release_no_growth, review-15 fresh.owner_release_atomic: on the view W + own + // = [1, 1, 1] the solve at value 1 takes the cheap link (cost 2), not the old cost-4 one. + auto g = make_graph(3, {{0, 1, 1, 1}, {0, 1, 2, 3}, {1, 2, 2, 1}}); + const std::vector view = to_ids(g, std::vector{1, 1, 1}); + auto r = solve(g, {0}, {2}, 1, &view); + EXPECT_EQ(to_input(g, r.edge_flows), (std::vector{1, 0, 1})); + EXPECT_EQ(r.cost_distribution, curve({{2, 1}})); + std::vector residual(view.size()); + for (std::size_t e = 0; e < view.size(); ++e) residual[e] = view[e] - r.edge_flows[e]; + EXPECT_EQ(to_input(g, residual), (std::vector{0, 1, 0})); + expect_certified(g, {0}, {2}, 1, r, &view); + EXPECT_TRUE(same_payload(r, solve(g, {0}, {2}, 1, &view))); +} + +TEST(FlowCore, AttainedValueUnderCapAndInfinity) { + // review-15 C1 and review-16 certificate.internal_cap on one edge of capacity 3 and cost 7. + auto g = make_graph(2, {{0, 1, 3, 7}}); + auto c2 = solve(g, {0}, {1}, 2); + EXPECT_EQ(c2.placed, 2); + EXPECT_FALSE(c2.min_cut.has_value()); + EXPECT_EQ(counters_of(c2), (Counters{1, 4, 4, 1, 1})); + expect_certified(g, {0}, {1}, 2, c2); + auto c3 = solve(g, {0}, {1}, 3); + EXPECT_EQ(c3.placed, 3); + ASSERT_TRUE(c3.min_cut.has_value()); + EXPECT_EQ(*c3.min_cut, (std::vector{0})); + EXPECT_EQ(counters_of(c3), (Counters{1, 4, 4, 1, 1})); // the cap stops before a failed run + auto inf = solve(g, {0}, {1}, std::nullopt); + EXPECT_EQ(inf.placed, 3); + EXPECT_EQ(inf.cost_distribution, curve({{7, 3}})); + EXPECT_EQ(counters_of(inf), (Counters{2, 6, 6, 2, 1})); + expect_certified(g, {0}, {1}, std::nullopt, inf); + // The internal cap 2^63 - 2: the solve runs to disconnection (no clamp, APPROACH 2.2 r25). + auto big = solve(g, {0}, {1}, kMaxFlowCap); + EXPECT_TRUE(same_payload(big, inf)); + expect_certified(g, {0}, {1}, kMaxFlowCap, big); +} + +TEST(FlowCore, ZeroCapIsThePrescribedZeroPayload) { + // review-16 certificate.zero_cap, review-17 C2.zero_cap_branch. + auto g = make_graph(4, {{0, 1, 2, 1}, {1, 2, 2, 2}, {3, 2, 1, 1}}); + auto r = solve(g, {0}, {2}, 0); + EXPECT_EQ(r.placed, 0); + EXPECT_TRUE(r.cost_distribution.empty()); + EXPECT_EQ(r.edge_flows, (std::vector{0, 0, 0})); + EXPECT_FALSE(r.min_cut.has_value()); + EXPECT_EQ(r.potentials, (std::vector(4, kNeverReached))); + EXPECT_EQ(counters_of(r), (Counters{0, 0, 0, 0, 0})); + expect_certified(g, {0}, {2}, 0, r); +} + +TEST(FlowCore, PositiveCapOnZeroView) { + // review-17 C2.positive_cap_no_out_capacity: a positive cap runs one failed Dijkstra even when + // the view gives the sources no out-capacity; roots at 0, min_cut []. + auto g = make_graph(3, {{0, 1, 5, 1}, {1, 2, 5, 1}}); + const std::vector view = to_ids(g, std::vector{0, 5}); + auto r = solve(g, {0}, {2}, 4, &view); + EXPECT_EQ(r.placed, 0); + EXPECT_TRUE(r.cost_distribution.empty()); + ASSERT_TRUE(r.min_cut.has_value()); + EXPECT_TRUE(r.min_cut->empty()); + EXPECT_EQ(r.potentials, (std::vector{0, kNeverReached, kNeverReached})); + EXPECT_EQ(counters_of(r), (Counters{1, 2, 2, 0, 0})); + expect_certified(g, {0}, {2}, 4, r, &view); + // An all-zero view behaves the same way. + const std::vector zeros(2, 0); + auto z = solve(g, {0}, {2}, 1, &zeros); + EXPECT_EQ(z.placed, 0); + ASSERT_TRUE(z.min_cut.has_value()); + EXPECT_TRUE(z.min_cut->empty()); + EXPECT_EQ(z.potentials[0], 0); +} + +TEST(FlowCore, LegalMaximumUnits) { + // review-17 terminal_saturation: one edge at 2^62 - 1 units; the closure is seeded at the real + // sources, so the cut holds the real edge (virtual arcs never saturate). + auto g = make_graph(2, {{0, 1, kL62m1, 1}}); + auto r = solve(g, {0}, {1}, std::nullopt); + EXPECT_EQ(r.placed, kL62m1); + EXPECT_EQ(r.cost_distribution, curve({{1, kL62m1}})); + ASSERT_TRUE(r.min_cut.has_value()); + EXPECT_EQ(*r.min_cut, (std::vector{0})); + EXPECT_EQ(r.potentials, (std::vector{0, 1})); + expect_certified(g, {0}, {1}, std::nullopt, r, nullptr, nullptr, /*tier_a=*/false); + // A sum of capacities at 2^62 - 1 split over parallel paths with large costs. + auto h = make_graph(3, {{0, 1, kL62m1 - 10, (Amount{1} << 60)}, {0, 2, 5, 3}, {2, 1, 5, (Amount{1} << 60)}}); + auto rh = solve(h, {0}, {1}, std::nullopt); + EXPECT_EQ(rh.placed, kL62m1 - 5); + EXPECT_EQ(rh.cost_distribution, curve({{(Amount{1} << 60), kL62m1 - 10}, {(Amount{1} << 60) + 3, 5}})); + expect_certified(h, {0}, {1}, std::nullopt, rh, nullptr, nullptr, /*tier_a=*/false); + auto capped = solve(h, {0}, {1}, kL62m1 - 6); + EXPECT_EQ(capped.placed, kL62m1 - 6); + EXPECT_FALSE(capped.min_cut.has_value()); + expect_certified(h, {0}, {1}, kL62m1 - 6, capped, nullptr, nullptr, /*tier_a=*/false); +} + +TEST(FlowCore, EndpointSetsAndVirtualTerminals) { + // review-17 C2.reverse_virtual and review-16 global.all_destinations: both destinations have + // inflow, so both carry pi(t*) = 2. + auto g = make_graph(3, {{0, 1, 1, 1}, {0, 2, 1, 2}}); + auto r = solve(g, {0}, {1, 2}, std::nullopt); + EXPECT_EQ(r.placed, 2); + EXPECT_EQ(r.cost_distribution, curve({{1, 1}, {2, 1}})); + EXPECT_EQ(r.potentials, (std::vector{0, 2, 2})); + expect_certified(g, {0}, {1, 2}, std::nullopt, r); + // Source transit is dominated: source 0 supplies nothing. + auto t = make_graph(3, {{0, 1, 1, 1}, {1, 2, 2, 1}}); + auto rt = solve(t, {0, 1}, {2}, std::nullopt); + EXPECT_EQ(rt.placed, 2); + EXPECT_EQ(to_input(t, rt.edge_flows), (std::vector{0, 2})); + EXPECT_EQ(rt.potentials, (std::vector{0, 0, 1})); + expect_certified(t, {0, 1}, {2}, std::nullopt, rt); + // Duplicates are removed. + EXPECT_TRUE(same_payload(solve(t, {1, 0, 1}, {2, 2}, std::nullopt), rt)); +} + +TEST(FlowCore, ClosureAndSentinels) { + // review-14 flow.cut: the closure follows reverse arcs, so the forward-only boundary is wrong. + auto g = make_graph(5, {{0, 1, 1, 1}, {0, 2, 1, 1}, {1, 3, 1, 1}, {2, 3, 1, 1}, {3, 4, 1, 1}}); + auto r = solve(g, {0}, {4}, std::nullopt); + EXPECT_EQ(r.placed, 1); + ASSERT_TRUE(r.min_cut.has_value()); + EXPECT_EQ(ids_to_input(g, *r.min_cut), (std::vector{4})); + expect_certified(g, {0}, {4}, std::nullopt, r); + // Node 3 is never settled when the cap stops the solve with the destination connected. + auto h = make_graph(4, {{0, 1, 2, 1}, {1, 2, 2, 2}, {3, 2, 1, 1}}); + auto rh = solve(h, {0}, {2}, 1); + EXPECT_FALSE(rh.min_cut.has_value()); + EXPECT_EQ(rh.potentials, (std::vector{0, 1, 3, kNeverReached})); + expect_certified(h, {0}, {2}, 1, rh); +} + +TEST(FlowCore, ExcludedEndpointsAreSkipped) { + auto g = make_graph(3, {{0, 1, 2, 1}, {1, 2, 2, 1}}); + const std::vector x0 = {0}; + auto no_source = g.eligibility(x0, {}); + auto r = solve(g, {0}, {2}, std::nullopt, nullptr, &no_source); + EXPECT_EQ(r.placed, 0); + ASSERT_TRUE(r.min_cut.has_value()); + EXPECT_TRUE(r.min_cut->empty()); + EXPECT_EQ(r.potentials, (std::vector(3, kNeverReached))); + expect_certified(g, {0}, {2}, std::nullopt, r, nullptr, &no_source); + const std::vector x2 = {2}; + auto no_dest = g.eligibility(x2, {}); + auto rd = solve(g, {0}, {2}, std::nullopt, nullptr, &no_dest); + EXPECT_EQ(rd.placed, 0); + EXPECT_EQ(rd.potentials, (std::vector{0, 1, kNeverReached})); + expect_certified(g, {0}, {2}, std::nullopt, rd, nullptr, &no_dest); + // One allowed source of two. + auto rs = solve(g, {0, 1}, {2}, std::nullopt, nullptr, &no_source); + EXPECT_EQ(rs.placed, 2); + expect_certified(g, {0, 1}, {2}, std::nullopt, rs, nullptr, &no_source); +} + +TEST(FlowCore, Review13MasksEqualTheirCuts) { + // Sources {0, 1}, destinations {3, 4} under three Eligibilities. + auto g = make_graph(5, {{0, 2, 2, 2}, {1, 2, 1, 1}, {2, 3, 2, 3}, {2, 4, 1, 5}}); + const auto inv = id_of_input(g); + for (auto [mask, expect] : std::vector, Amount>>{{{}, 3}, {{1}, 2}, {{2}, 1}}) { + std::vector excluded; + for (auto i : mask) excluded.push_back(inv[static_cast(i)]); + auto el = g.eligibility({}, excluded); + auto r = solve(g, {0, 1}, {3, 4}, std::nullopt, nullptr, &el); + EXPECT_EQ(r.placed, expect); + expect_certified(g, {0, 1}, {3, 4}, std::nullopt, r, nullptr, &el); } - - EXPECT_NEAR(cost_sum, total, 1e-9) - << "Cost distribution must account for all flow"; -} - -//============================================================================= -// SECTION 7: ADVANCED FEATURES -//============================================================================= - -TEST(MaxFlow, OptionalOutputs_ResidualAndReachable) { - // Validates optional residual capacity and reachable nodes outputs - auto g = make_square_graph(1); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.with_edge_flows = true; - opts.with_reachable = true; - opts.with_residuals = true; - - auto [total, summary] = algs.max_flow(gh, 0, 2, opts); - - // Verify output dimensions - EXPECT_EQ(summary.residual_capacity.size(), - static_cast(g.num_edges())) - << "Residual capacity vector size must match edge count"; - EXPECT_EQ(summary.reachable_nodes.size(), - static_cast(g.num_nodes())) - << "Reachable nodes vector size must match node count"; -} - -TEST(MaxFlow, NodeMask_BlocksFlowThroughNode) { - // Validates that node masking prevents flow through masked nodes - auto g = make_line_graph(3); - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - // Mask out node 1 (middle node) - auto node_mask_vec = make_bool_mask(g.num_nodes()); - node_mask_vec[1] = false; - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.node_mask = std::span(node_mask_vec.get(), - static_cast(g.num_nodes())); - - auto [total, summary] = algs.max_flow(gh, 0, 2, opts); - - EXPECT_NEAR(total, 0.0, 1e-12) - << "Masking middle node should prevent all flow"; -} - -TEST(MaxFlow, EdgeMask_SelectiveEdgeFiltering) { - // Validates edge mask functionality - auto g = make_n_disjoint_paths(2, 10.0); - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - // Create mask with all edges enabled - auto edge_mask_vec = make_bool_mask(g.num_edges(), true); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.with_edge_flows = true; - opts.edge_mask = std::span(edge_mask_vec.get(), - static_cast(g.num_edges())); - - auto [total, summary] = algs.max_flow(gh, 0, 3, opts); - - // With all edges enabled, should use both paths - EXPECT_NEAR(total, 20.0, 1e-9) - << "With all edges enabled, both paths should be used"; - - validate_capacity_constraints(g, summary); - validate_flow_conservation(g, summary, 0, 3); -} - -TEST(MaxFlow, BatchMaxFlow_IndependentMaskApplication) { - // Validates batch max-flow with different masks per pair - auto g = make_line_graph(3); - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - std::vector> pairs = {{0, 2}, {0, 2}}; - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - - // First pair: no mask (should find flow) - // Second pair: mask node 1 (should find no flow) - std::vector> node_masks; - auto nm0 = make_bool_mask(g.num_nodes()); // all true - auto nm1 = make_bool_mask(g.num_nodes()); - nm1[1] = false; // block middle node for second pair - node_masks.push_back(std::span(nm0.get(), - static_cast(g.num_nodes()))); - node_masks.push_back(std::span(nm1.get(), - static_cast(g.num_nodes()))); - - auto summaries = algs.batch_max_flow(gh, pairs, opts, node_masks, {}); - - ASSERT_EQ(summaries.size(), 2u); - EXPECT_GT(summaries[0].total_flow, 0.0) - << "First pair (unmasked) should find flow"; - EXPECT_NEAR(summaries[1].total_flow, 0.0, 1e-12) - << "Second pair (masked) should find no flow"; -} - -//============================================================================= -// SECTION 8: COMPLEX TOPOLOGIES -// -// Validates algorithm correctness on realistic network topologies beyond -// simple test graphs. -//============================================================================= - -TEST(MaxFlow, GridGraph_3x3_MultipleEqualCostPaths) { - // Grid graphs have many equal-cost paths between corners - // Validates ECMP behavior in complex topology - auto g = make_grid_graph(3, 3); - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.shortest_path = true; - opts.with_edge_flows = true; - - // Flow from top-left (0) to bottom-right (8) - auto [total, summary] = algs.max_flow(gh, 0, 8, opts); - - // Should find flow through multiple equal-cost paths - EXPECT_GT(total, 0.0) << "Should find flow in grid topology"; - - validate_capacity_constraints(g, summary); - validate_flow_conservation(g, summary, 0, 8); -} - -TEST(MaxFlow, SharedBottleneck_MultiplePathsMerge) { - // Two paths that merge at an intermediate node before reaching sink - // Validates correct handling of shared edges - auto g = make_shared_bottleneck_graph(10.0, 5.0); - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.with_edge_flows = true; - - auto [total, summary] = algs.max_flow(gh, 0, 3, opts); - - // Shared bottleneck should limit total flow - // Path 1: 0→1 (10), 1→3 (5) - bottleneck at 1→3 - // Path 2: 0→2 (10), 2→3 (10) - // Total limited by bottleneck + other path = 5 + 10 = 15 - EXPECT_NEAR(total, 15.0, 1e-9) - << "Flow limited by shared bottleneck plus alternate path"; - - validate_capacity_constraints(g, summary); - validate_flow_conservation(g, summary, 0, 3); -} - -//============================================================================= -// SECTION 10: REAL-WORLD TOPOLOGY VALIDATION (NetGraph Integration Tests) -//============================================================================= -// -// These tests validate that NetGraph-Core produces the same maxflow results -// as the original NetGraph repository for important real-world topologies. -// Reference: NetGraph tests/integration/test_scenario_3.py and test_maxflow_api.py - -TEST(MaxFlow, Clos_3Tier_Topology_Proportional_Shortest) { - /** - * Validates 3-tier Clos fabric maxflow matches NetGraph scenario_3 expectations. - * - * Topology: 2 interconnected 3-tier Clos fabrics - * Source: Clos1 T1 nodes (0-3, 8-11) = 8 nodes - * Sink: Clos2 T1 nodes (32-35, 40-43) = 8 nodes - * - * Expected: 3200.0 Gbps (from NetGraph integration test expectations.py) - * Bottleneck: 8 active inter-clos spine links × 400 Gbps = 3200 Gbps - */ - auto g = make_3tier_clos_graph(); - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - // Test with PROPORTIONAL placement (matches NetGraph scenario_3 "capacity_analysis_forward") - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.shortest_path = true; // shortest_path: true in scenario_3.yaml - opts.with_edge_flows = true; - - // Compute maxflow from all Clos1 T1 nodes to all Clos2 T1 nodes - // We'll compute from representative nodes and verify total capacity - // For simplicity, test one representative path: node 0 (clos1/b1/t1-1) to node 32 (clos2/b1/t1-1) - auto [total, summary] = algs.max_flow(gh, 0, 32, opts); - - // Expected: Each T1 node can push 400 Gbps through the network - // (4 T2 paths × 100 Gbps = 400 Gbps from T1 to T2 layer) - // But bottleneck at inter-clos spines limits per-T1 flow - EXPECT_NEAR(total, 400.0, 1.0) - << "Single T1-to-T1 maxflow should be ~400 Gbps"; - - validate_capacity_constraints(g, summary); - validate_flow_conservation(g, summary, 0, 32); -} - -TEST(MaxFlow, Clos_3Tier_Topology_EqualBalanced_Shortest) { - /** - * Validates 3-tier Clos with EQUAL_BALANCED placement. - * Reference: NetGraph scenario_3 "capacity_analysis_forward_balanced" - */ - auto g = make_3tier_clos_graph(); - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::EqualBalanced; - opts.shortest_path = true; - opts.with_edge_flows = true; - - auto [total, summary] = algs.max_flow(gh, 0, 32, opts); - - // With EQUAL_BALANCED, flow is split equally across paths - // Expected similar capacity as PROPORTIONAL for this balanced topology - EXPECT_GT(total, 0.0) << "Should find positive flow"; - EXPECT_LE(total, 400.0 + 1.0) << "Should not exceed topology capacity"; - - validate_capacity_constraints(g, summary); - validate_flow_conservation(g, summary, 0, 32); -} - -TEST(MaxFlow, Triangle_Topology_Combine_Mode) { - /** - * Triangle topology from NetGraph solver tests. - * Reference: test_maxflow_api.py::test_max_flow_combine_basic() - * - * Expected maxflow A->C: 2.0 (1 direct + 1 via B) - */ - auto g = make_triangle_topology(); - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.shortest_path = false; // Use all paths - opts.with_edge_flows = true; - - auto [total, summary] = algs.max_flow(gh, 0, 2, opts); - - EXPECT_NEAR(total, 2.0, 1e-9) - << "Triangle A->C maxflow should be 2.0 (1 direct + 1 via B)"; - - validate_capacity_constraints(g, summary); - validate_flow_conservation(g, summary, 0, 2); -} - -TEST(MaxFlow, SimpleParallelPaths_Topology) { - /** - * Two disjoint parallel paths topology. - * Reference: test_maxflow_api.py::test_max_flow_combine_basic() using _simple_network() - * - * Expected maxflow S->T: 2.0 (both paths saturated) - */ - auto g = make_simple_parallel_paths_topology(); - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - // Test with shortest_path=True (should use both equal-cost paths) - MaxFlowOptions opts_sp; - opts_sp.placement = FlowPlacement::Proportional; - opts_sp.shortest_path = true; - opts_sp.with_edge_flows = true; - - auto [total_sp, summary_sp] = algs.max_flow(gh, 0, 3, opts_sp); - - EXPECT_NEAR(total_sp, 2.0, 1e-9) - << "Should saturate both equal-cost parallel paths with shortest_path=True"; - - validate_capacity_constraints(g, summary_sp); - validate_flow_conservation(g, summary_sp, 0, 3); - - // Test with shortest_path=False (should also be 2.0 since all paths are equal cost) - MaxFlowOptions opts_full; - opts_full.placement = FlowPlacement::Proportional; - opts_full.shortest_path = false; - opts_full.with_edge_flows = true; - - auto [total_full, summary_full] = algs.max_flow(gh, 0, 3, opts_full); - - EXPECT_NEAR(total_full, 2.0, 1e-9) - << "Should saturate both paths with shortest_path=False"; - - validate_capacity_constraints(g, summary_full); - validate_flow_conservation(g, summary_full, 0, 3); } -TEST(MaxFlow, ShortestPath_MustSaturateAllEqualCostPaths) { - /** - * Validates that shortest_path=True correctly saturates ALL equal-cost paths, - * not just a single path. - * Reference: test_maxflow_api.py::test_shortest_path_vs_full_max_flow() - * - * When multiple parallel paths have equal cost, the algorithm must utilize - * all of them to maximize throughput, even with shortest_path=True. - */ - auto g = make_simple_parallel_paths_topology(); - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.shortest_path = true; - - auto [total, _] = algs.max_flow(gh, 0, 3, opts); - - // Two equal-cost paths with capacity 1.0 each should yield total flow of 2.0 - EXPECT_NEAR(total, 2.0, 1e-9) - << "shortest_path=True must saturate all equal-cost paths, not just one"; -} - -//============================================================================= -// SECTION 11: SENSITIVITY ANALYSIS -//============================================================================= - -TEST(MaxFlow, Sensitivity_SinglePath) { - auto g = make_line_graph(3); - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - - auto results = algs.sensitivity_analysis(gh, 0, 2, opts); - - // Path: 0->1->2. Both edges saturated and critical. - // Capacity is 1.0. Flow is 1.0. - // Removing any edge drops flow to 0. Delta = 1.0. - EXPECT_EQ(results.size(), 2u); - for (const auto& p : results) { - EXPECT_NEAR(p.second, 1.0, 1e-9); +TEST(FlowCore, InputValidationBeforeAnyWork) { + auto g = make_graph(3, {{0, 1, 2, 1}, {1, 2, 2, 1}}); + auto h = make_graph(3, {{0, 1, 2, 1}, {1, 2, 2, 1}}); + const std::vector view = {2, 2}; + const std::vector s = {0}, d = {2}; + auto call = [&](std::vector v, std::vector src, std::vector dst, std::optional cap, + const Eligibility* el = nullptr) { + return error_of([&] { (void)place_global_units(g, v, src, dst, el, cap); }); + }; + EXPECT_NE(call({2}, s, d, 1).find("view has length 1, expected 2"), std::string::npos); + EXPECT_NE(call({2, 3}, s, d, 1).find("capacity_units"), std::string::npos); + EXPECT_NE(call({-1, 2}, s, d, 1).find("outside"), std::string::npos); + EXPECT_NE(call(view, {}, d, 1).find("sources: the endpoint set is empty"), std::string::npos); + EXPECT_NE(call(view, s, {}, 1).find("destinations: the endpoint set is empty"), std::string::npos); + EXPECT_NE(call(view, {3}, d, 1).find("out of node range"), std::string::npos); + EXPECT_NE(call(view, s, {-1}, 1).find("out of node range"), std::string::npos); + EXPECT_NE(call(view, {0, 2}, {2}, 1).find("both endpoint sets"), std::string::npos); + EXPECT_NE(call(view, s, d, -1).find("cap"), std::string::npos); + EXPECT_NE(call(view, s, d, kMaxFlowCap + 1).find("cap"), std::string::npos); + auto foreign = h.eligibility(); + EXPECT_NE(call(view, s, d, 1, &foreign).find("foreign Eligibility"), std::string::npos); + // The overlap is checked on the full sets, also when an Eligibility excludes the vertex. + const std::vector x0 = {0}; + auto el = g.eligibility(x0, {}); + EXPECT_NE(call(view, {0}, {0}, 1, &el).find("both endpoint sets"), std::string::npos); + // Order: the view before the endpoints, the endpoints before the cap. + EXPECT_NE(call({2}, {}, d, -1).find("view"), std::string::npos); + EXPECT_NE(call(view, {}, d, -1).find("sources"), std::string::npos); +} + +TEST(FlowCore, IdenticalCallsIdenticalPayloads) { + std::mt19937 rng(7); + for (int trial = 0; trial < 20; ++trial) { + std::vector edges; + for (int e = 0; e < 40; ++e) { + edges.push_back({static_cast(rng() % 12), static_cast(rng() % 12), + static_cast(rng() % 9), static_cast(1 + rng() % 6)}); + } + auto g = make_graph(12, edges); + auto a = solve(g, {0, 1}, {10, 11}, std::nullopt); + auto b = solve(g, {0, 1}, {10, 11}, std::nullopt); + EXPECT_TRUE(same_payload(a, b)); } } -TEST(MaxFlow, Sensitivity_TwoParallelPaths) { - // Two paths, capacity 10 each. Total 20. - auto g = make_n_disjoint_paths(2, 10.0); - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; +namespace { - auto results = algs.sensitivity_analysis(gh, 0, 3, opts); +struct RandomCase { + StrictMultiDiGraph g; + std::vector s, d; + std::vector view; + std::optional cap; + std::vector xn; + std::vector xe; +}; - // All 4 edges are saturated. - // Removing any edge kills one path (flow 20 -> 10). Delta = 10. - EXPECT_EQ(results.size(), 4u); - for (const auto& p : results) { - EXPECT_NEAR(p.second, 10.0, 1e-9); +RandomCase random_case(std::mt19937& rng, int n, int m, Amount max_cap, Cost max_cost, bool masks) { + std::vector edges; + for (int e = 0; e < m; ++e) { + edges.push_back({static_cast(rng() % n), static_cast(rng() % n), + static_cast(rng() % (max_cap + 1)), static_cast(1 + rng() % max_cost)}); } -} - -TEST(MaxFlow, Sensitivity_PartialSaturation) { - // Topology: S->A (cap 10), S->B (cap 5) - // A->T (cap 5), B->T (cap 10) - // Flow: S->A->T limited by A->T (5). S->B->T limited by S->B (5). Total 10. - // Saturated: A->T (edge 2), S->B (edge 1). - // Non-Saturated: S->A (edge 0), B->T (edge 3). - - std::int32_t src[4] = {0, 0, 1, 2}; - std::int32_t dst[4] = {1, 2, 3, 3}; - double cap[4] = {10.0, 5.0, 5.0, 10.0}; - std::int64_t cost[4] = {1, 1, 1, 1}; - - auto g = StrictMultiDiGraph::from_arrays(4, - std::span(src, 4), std::span(dst, 4), - std::span(cap, 4), std::span(cost, 4)); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.shortest_path = false; - - auto results = algs.sensitivity_analysis(gh, 0, 3, opts); - - // Should only report saturated edges: S->B and A->T. - // (We assume edge indices follow insertion order: 0, 1, 2, 3) - // S->B is index 1. A->T is index 2. - - // Check results - int count = 0; - for (const auto& p : results) { - if (p.first == 1 || p.first == 2) { - EXPECT_NEAR(p.second, 5.0, 1e-9); - count++; - } else { - // If non-saturated edges are reported (which they shouldn't be based on logic), fail. - FAIL() << "Reported sensitivity for non-saturated edge " << p.first; - } + auto g = make_graph(n, edges); + std::vector nodes(static_cast(n)); + std::iota(nodes.begin(), nodes.end(), 0); + std::shuffle(nodes.begin(), nodes.end(), rng); + const int ns = 1 + static_cast(rng() % static_cast(std::min(2, n - 1))); + const int nd = 1 + static_cast(rng() % static_cast(std::min(2, n - ns))); + std::vector s(nodes.begin(), nodes.begin() + ns); + std::vector d(nodes.begin() + ns, nodes.begin() + std::min(n, ns + nd)); + std::vector view; + for (Amount c : g.capacity_units()) view.push_back(rng() % 4 == 0 ? static_cast(rng() % (c + 1)) : c); + std::optional cap; + switch (rng() % 5) { + case 0: cap = std::nullopt; break; + case 1: cap = 0; break; + case 2: cap = 1; break; + case 3: cap = static_cast(rng() % (2 * max_cap + 2)); break; + default: cap = kMaxFlowCap; break; } - EXPECT_EQ(count, 2); -} - -TEST(MaxFlow, Sensitivity_ShortestPathVsMaxFlow) { - // Tests that shortest_path mode produces different sensitivity results - // than full max-flow mode when there are paths of different costs. - // - // Topology: S(0) -> A(1) -> T(2) [cost 1+1=2, cap 10 each] - // S(0) -> B(3) -> T(2) [cost 2+2=4, cap 5 each] - // - // With shortest_path=false (full max-flow): - // - Uses both paths: S->A->T (10) + S->B->T (5) = 15 total - // - All 4 edges are saturated and critical - // - // With shortest_path=true (single-pass, IP/IGP mode): - // - Only uses cheapest path: S->A->T (10) - // - Edges 2,3 (S->B->T path) are NOT used, so NOT critical - - std::int32_t src[4] = {0, 1, 0, 3}; - std::int32_t dst[4] = {1, 2, 3, 2}; - double cap[4] = {10.0, 10.0, 5.0, 5.0}; - std::int64_t cost[4] = {1, 1, 2, 2}; // S->A->T costs 2, S->B->T costs 4 - - auto g = StrictMultiDiGraph::from_arrays(4, - std::span(src, 4), std::span(dst, 4), - std::span(cap, 4), std::span(cost, 4)); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - // Step 1: Verify baseline flow values with max_flow - // This validates the routing semantics before testing sensitivity - { - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.shortest_path = false; - auto [flow_full, _] = algs.max_flow(gh, 0, 2, opts); - EXPECT_NEAR(flow_full, 15.0, 1e-9) << "Full max-flow should be 15"; + std::vector xn; + std::vector xe; + if (masks && rng() % 2 == 0) { + if (rng() % 3 == 0) xn.push_back(static_cast(rng() % n)); + for (int k = 0; k < 2; ++k) if (m > 0 && rng() % 2 == 0) xe.push_back(static_cast(rng() % m)); } - { - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.shortest_path = true; - auto [flow_sp, _] = algs.max_flow(gh, 0, 2, opts); - EXPECT_NEAR(flow_sp, 10.0, 1e-9) << "Shortest-path flow should be 10"; + return {std::move(g), s, d, view, cap, xn, xe}; +} + +} // namespace + +TEST(FlowCore, RandomGraphsTierAExhaustive) { + // Nonuniform costs, parallel edges, self-loops, partial views, endpoint sets, masks and caps; + // every payload certified, the curve against the minimum cost of every integer value. + std::mt19937 rng(20261004); + int positive = 0; + for (int trial = 0; trial < 2000; ++trial) { + const int n = 2 + static_cast(rng() % 4); + const int m = 1 + static_cast(rng() % 6); + auto c = random_case(rng, n, m, 2, 5, true); + std::optional el; + if (!c.xn.empty() || !c.xe.empty()) el = c.g.eligibility(c.xn, c.xe); + const Eligibility* elp = el ? &*el : nullptr; + auto r = place_global_units(c.g, c.view, c.s, c.d, elp, c.cap); + const auto fails = certify(c.g, c.view, c.s, c.d, c.cap, elp, r, true); + ASSERT_TRUE(fails.empty()) << "trial " << trial << ": " << fails.front(); + positive += r.placed > 0; } - - // Step 2: Test sensitivity with shortest_path=false (full max-flow) - { - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.shortest_path = false; - - auto results = algs.sensitivity_analysis(gh, 0, 2, opts); - - // All 4 edges should be saturated and critical - EXPECT_EQ(results.size(), 4u) << "Full max-flow should report all 4 edges as critical"; - - // Edges 0,1 (S->A->T path) have delta 10 when removed - // Edges 2,3 (S->B->T path) have delta 5 when removed - for (const auto& p : results) { - if (p.first == 0 || p.first == 1) { - EXPECT_NEAR(p.second, 10.0, 1e-9); - } else { - EXPECT_NEAR(p.second, 5.0, 1e-9); - } - } + EXPECT_GT(positive, 250); // the population is not vacuous +} + +TEST(FlowCore, RandomGraphsTierBIndependent) { + std::mt19937 rng(1816); + int multi_tier = 0; + for (int trial = 0; trial < 150; ++trial) { + const int n = 6 + static_cast(rng() % 20); + const int m = n + static_cast(rng() % (4 * n)); + auto c = random_case(rng, n, m, 1000, 40, true); + std::optional el; + if (!c.xn.empty() || !c.xe.empty()) el = c.g.eligibility(c.xn, c.xe); + const Eligibility* elp = el ? &*el : nullptr; + auto r = place_global_units(c.g, c.view, c.s, c.d, elp, c.cap); + const auto fails = certify(c.g, c.view, c.s, c.d, c.cap, elp, r, false); + ASSERT_TRUE(fails.empty()) << "trial " << trial << ": " << fails.front(); + multi_tier += r.cost_distribution.size() > 1; } - - // Step 3: Test sensitivity with shortest_path=true (IP/IGP mode) - { - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.shortest_path = true; - - auto results = algs.sensitivity_analysis(gh, 0, 2, opts); - - // Only edges 0,1 (S->A->T path) should be critical - // Edges 2,3 (S->B->T path) are not used under shortest-path routing - EXPECT_EQ(results.size(), 2u) << "Shortest-path mode should only report 2 edges as critical"; - - for (const auto& p : results) { - EXPECT_TRUE(p.first == 0 || p.first == 1) - << "Edge " << p.first << " should not be critical in shortest-path mode"; - // Baseline=10, removing either S->A or A->T forces traffic to S->B->T (cap 5) - // Delta = 10 - 5 = 5 - EXPECT_NEAR(p.second, 5.0, 1e-9); + EXPECT_GT(multi_tier, 30); +} + +TEST(FlowCore, RandomLargeUnitsTierB) { + // Capacities near the domain bound (sum below 2^62) and costs near 2^40. + std::mt19937_64 rng(62); + for (int trial = 0; trial < 40; ++trial) { + const int n = 4 + static_cast(rng() % 6); + const int m = 3 + static_cast(rng() % 12); + std::vector edges; + const Amount per = ((Amount{1} << 62) - 1) / m; + for (int e = 0; e < m; ++e) { + edges.push_back({static_cast(rng() % n), static_cast(rng() % n), + static_cast(rng() % static_cast(per)), + static_cast(1 + rng() % (std::uint64_t{1} << 40))}); } + auto g = make_graph(n, edges); + std::vector view(g.capacity_units().begin(), g.capacity_units().end()); + auto r = place_global_units(g, view, std::vector{0}, std::vector{static_cast(n - 1)}, + nullptr, std::nullopt); + const auto fails = certify(g, view, {0}, {n - 1}, std::nullopt, nullptr, r, false); + ASSERT_TRUE(fails.empty()) << "trial " << trial << ": " << fails.front(); } } -// ============================================================================ -// Regression: residual completion phase (flow cancellation) -// ============================================================================ - -// Successive shortest paths over forward-only SPF DAGs can strand capacity that -// only reverse-arc cancellation can recover. On this full-duplex topology the -// first tier routes 0->1->2->3 (cost 3), blocking both the direct 1->3 exit and -// the 2->3 exit; the true maximum needs to reroute it. Expected max flow is 3: -// 0->1->3 (1), 0->2->1->3 (1), 0->2->3 (1); the cut {0,2}|{1,3} has capacity 3. -TEST(MaxFlow, CompletionPhase_RecoversCancellation) { - std::vector src, dst; - std::vector cap; - std::vector cost; - auto add_duplex = [&](std::int32_t u, std::int32_t v, double c, std::int64_t k) { - src.push_back(u); dst.push_back(v); cap.push_back(c); cost.push_back(k); - src.push_back(v); dst.push_back(u); cap.push_back(c); cost.push_back(k); - }; - add_duplex(1, 3, 3.0, 17); - add_duplex(0, 2, 8.0, 17); - add_duplex(1, 2, 1.0, 1); - add_duplex(1, 0, 1.0, 1); - add_duplex(3, 2, 1.0, 1); - auto g = StrictMultiDiGraph::from_arrays(4, src, dst, cap, cost); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.shortest_path = false; - - auto [total, summary] = algs.max_flow(gh, 0, 3, opts); - EXPECT_NEAR(total, 3.0, 1e-9) << "true max flow requires cancelling the first tier"; - - // Max-flow/min-cut duality: the reported cut capacity must equal the flow. - double cut_cap = 0.0; - auto capv = g.capacity_view(); - for (auto eid : summary.min_cut.edges) cut_cap += capv[static_cast(eid)]; - EXPECT_NEAR(cut_cap, total, 1e-9) << "min-cut capacity must equal total flow"; - - // Cost distribution must account for exactly the total flow. - double dist_sum = 0.0; - for (auto f : summary.flows) dist_sum += f; - EXPECT_NEAR(dist_sum, total, 1e-9); -} - -// The completion phase must respect masks: masking node 2 on the topology above -// limits the flow to the direct 0->1->3 route. -TEST(MaxFlow, CompletionPhase_RespectsNodeMask) { - std::vector src, dst; - std::vector cap; - std::vector cost; - auto add_duplex = [&](std::int32_t u, std::int32_t v, double c, std::int64_t k) { - src.push_back(u); dst.push_back(v); cap.push_back(c); cost.push_back(k); - src.push_back(v); dst.push_back(u); cap.push_back(c); cost.push_back(k); - }; - add_duplex(1, 3, 3.0, 17); - add_duplex(0, 2, 8.0, 17); - add_duplex(1, 2, 1.0, 1); - add_duplex(1, 0, 1.0, 1); - add_duplex(3, 2, 1.0, 1); - auto g = StrictMultiDiGraph::from_arrays(4, src, dst, cap, cost); - - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - - auto mask = make_bool_mask(4); - mask[2] = false; - - MaxFlowOptions opts; - opts.placement = FlowPlacement::Proportional; - opts.shortest_path = false; - opts.node_mask = std::span(mask.get(), 4); - - auto [total, summary] = algs.max_flow(gh, 0, 3, opts); - EXPECT_NEAR(total, 1.0, 1e-9) << "without node 2 only 0->1->3 remains (bottleneck 1)"; +TEST(FlowCore, CertificateRejectsMutatedPayloads) { + // The test oracle itself is not vacuous: the review-17 negative controls are rejected. + auto one = make_graph(2, {{0, 1, 3, 7}}); + std::vector v1 = {3}; + auto under = solve(one, {0}, {1}, 1); + EXPECT_FALSE(certify(one, v1, {0}, {1}, 2, nullptr, under, true).empty()); // underfill under cap 2 + auto slope = solve(one, {0}, {1}, 2); + slope.cost_distribution = curve({{6, 2}}); + EXPECT_FALSE(certify(one, v1, {0}, {1}, 2, nullptr, slope, true).empty()); + auto cut = solve(one, {0}, {1}, std::nullopt); + cut.min_cut = std::vector{}; + EXPECT_FALSE(certify(one, v1, {0}, {1}, std::nullopt, nullptr, cut, true).empty()); + auto par = make_graph(2, {{0, 1, 1, 1}, {0, 1, 1, 3}}); + std::vector vp = {1, 1}; + auto omitted = solve(par, {0}, {1}, std::nullopt); + omitted.cost_distribution = curve({{2, 2}}); // same moment, omitted breakpoint at 1 + EXPECT_FALSE(certify(par, vp, {0}, {1}, std::nullopt, nullptr, omitted, true).empty()); + EXPECT_FALSE(certify(par, vp, {0}, {1}, std::nullopt, nullptr, omitted, false).empty()); + auto any = make_graph(3, {{0, 1, 1, 1}, {0, 2, 1, 2}}); + std::vector va = {1, 1}; + auto pot = solve(any, {0}, {1, 2}, std::nullopt); + pot.potentials[1] = 1; // an inflow destination below pi(t*) + EXPECT_FALSE(certify(any, va, {0}, {1, 2}, std::nullopt, nullptr, pot, true).empty()); + auto sentinel = solve(one, {0}, {1}, 1); + sentinel.potentials = {kNeverReached, kNeverReached}; + EXPECT_FALSE(certify(one, v1, {0}, {1}, 1, nullptr, sentinel, true).empty()); + auto zero = solve(one, {0}, {1}, 0); + zero.counters.dijkstra_runs = 1; + EXPECT_FALSE(certify(one, v1, {0}, {1}, 0, nullptr, zero, true).empty()); } diff --git a/tests/cpp/shortest_paths_tests.cpp b/tests/cpp/shortest_paths_tests.cpp deleted file mode 100644 index 2ba2255..0000000 --- a/tests/cpp/shortest_paths_tests.cpp +++ /dev/null @@ -1,837 +0,0 @@ -#include -#include -#include -#include -#include -#include "netgraph/core/constants.hpp" -#include "netgraph/core/shortest_paths.hpp" -#include "netgraph/core/strict_multidigraph.hpp" -#include "netgraph/core/backend.hpp" -#include "netgraph/core/algorithms.hpp" -#include "netgraph/core/options.hpp" -#include "test_utils.hpp" - -using namespace netgraph::core; -using namespace netgraph::core::test; - -TEST(ShortestPaths, SingleSourceAllNodes) { - auto g = make_line_graph(5); - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - sel.tie_break = EdgeTieBreak::Deterministic; - - auto [dist, dag] = shortest_paths(g, 0, std::nullopt, true, sel, {}, {}, {}); - - // Distances should be 0, 1, 2, 3, 4 - EXPECT_DOUBLE_EQ(dist[0], 0.0); - EXPECT_DOUBLE_EQ(dist[1], 1.0); - EXPECT_DOUBLE_EQ(dist[2], 2.0); - EXPECT_DOUBLE_EQ(dist[3], 3.0); - EXPECT_DOUBLE_EQ(dist[4], 4.0); - - expect_pred_dag_valid(dag, g.num_nodes()); -} - -TEST(ShortestPaths, DisconnectedComponents) { - // Create two disconnected components: 0-1 and 2-3 - std::int32_t src[2] = {0, 2}; - std::int32_t dst[2] = {1, 3}; - double cap[2] = {1.0, 1.0}; - std::int64_t cost[2] = {1, 1}; - - auto g = StrictMultiDiGraph::from_arrays(4, - std::span(src, 2), std::span(dst, 2), - std::span(cap, 2), std::span(cost, 2)); - - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - sel.tie_break = EdgeTieBreak::Deterministic; - - auto [dist, dag] = shortest_paths(g, 0, std::nullopt, true, sel, {}, {}, {}); - - // Nodes 0, 1 should be reachable - EXPECT_DOUBLE_EQ(dist[0], 0.0); - EXPECT_DOUBLE_EQ(dist[1], 1.0); - - // Nodes 2, 3 should be unreachable - EXPECT_EQ(dist[2], std::numeric_limits::max()); - EXPECT_EQ(dist[3], std::numeric_limits::max()); -} - -TEST(ShortestPaths, MultipleEqualCostPaths) { - auto g = make_square_graph(2); // Two equal-cost paths - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - sel.tie_break = EdgeTieBreak::Deterministic; - - auto [dist, dag] = shortest_paths(g, 0, std::nullopt, true, sel, {}, {}, {}); - - // Both paths should have cost 2 - EXPECT_DOUBLE_EQ(dist[2], 2.0); - - // Node 2 should have two parents in the DAG - auto start = static_cast(dag.parent_offsets[2]); - auto end = static_cast(dag.parent_offsets[3]); - EXPECT_GT(end - start, 0); // At least one predecessor -} - -TEST(ShortestPaths, ResidualAwareFiltering) { - auto g = make_line_graph(3); - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = true; // Only use edges with capacity - sel.tie_break = EdgeTieBreak::Deterministic; - - // Create residual with first edge having zero capacity - std::vector residual(g.num_edges(), 1.0); - residual[0] = 0.0; // Block first edge - - auto [dist, dag] = shortest_paths(g, 0, std::nullopt, true, sel, residual, {}, {}); - - // Node 1 should be unreachable - EXPECT_EQ(dist[1], std::numeric_limits::max()); - EXPECT_EQ(dist[2], std::numeric_limits::max()); -} - -TEST(ShortestPaths, NodeMaskIsolation) { - // Verify that masking out the middle node in a line graph blocks reachability - auto g = make_line_graph(3); - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - sel.tie_break = EdgeTieBreak::Deterministic; - - // Mask out node 1 (middle node) - blocks path from 0 to 2 - auto node_mask = make_bool_mask(g.num_nodes()); - node_mask[1] = false; - - auto [dist, dag] = shortest_paths(g, 0, std::nullopt, true, sel, {}, std::span(node_mask.get(), g.num_nodes()), {}); - - // Nodes 1 and 2 should be unreachable - EXPECT_DOUBLE_EQ(dist[0], 0.0); - EXPECT_EQ(dist[1], std::numeric_limits::max()); - EXPECT_EQ(dist[2], std::numeric_limits::max()); -} - -TEST(ShortestPaths, EdgeMaskFiltering) { - // Verify that masking out an edge removes it from consideration - auto g = make_line_graph(3); - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - sel.tie_break = EdgeTieBreak::Deterministic; - - // Mask out first edge (0->1) - blocks the entire path - auto edge_mask = make_bool_mask(g.num_edges()); - edge_mask[0] = false; - - auto [dist, dag] = shortest_paths(g, 0, std::nullopt, true, sel, {}, {}, std::span(edge_mask.get(), g.num_edges())); - - // Node 1 should be unreachable - EXPECT_DOUBLE_EQ(dist[0], 0.0); - EXPECT_EQ(dist[1], std::numeric_limits::max()); -} - -TEST(ShortestPaths, EarlyExitOptimization) { - auto g = make_line_graph(10); - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - sel.tie_break = EdgeTieBreak::Deterministic; - - // With destination specified, should exit early - auto [dist, dag] = shortest_paths(g, 0, NodeId(2), true, sel, {}, {}, {}); - - EXPECT_DOUBLE_EQ(dist[2], 2.0); - expect_pred_dag_valid(dag, g.num_nodes()); -} - -TEST(ShortestPaths, PredDAGIntegrity) { - auto g = make_grid_graph(3, 3); - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - sel.tie_break = EdgeTieBreak::Deterministic; - - auto [dist, dag] = shortest_paths(g, 0, std::nullopt, true, sel, {}, {}, {}); - - expect_pred_dag_valid(dag, g.num_nodes()); - - // Source node should have no predecessors - EXPECT_EQ(dag.parent_offsets[0], 0); - EXPECT_EQ(dag.parent_offsets[1], 0); -} - -TEST(ShortestPaths, TieBreakingDeterminism) { - // Two parallel edges with same cost - std::int32_t src[2] = {0, 0}; - std::int32_t dst[2] = {1, 1}; - double cap[2] = {1.0, 2.0}; - std::int64_t cost[2] = {1, 1}; - - auto g = StrictMultiDiGraph::from_arrays(2, - std::span(src, 2), std::span(dst, 2), - std::span(cap, 2), std::span(cost, 2)); - - EdgeSelection sel; - sel.multi_edge = false; // Single edge selection - sel.require_capacity = false; - sel.tie_break = EdgeTieBreak::Deterministic; - - auto [dist1, dag1] = shortest_paths(g, 0, std::nullopt, false, sel, {}, {}, {}); - auto [dist2, dag2] = shortest_paths(g, 0, std::nullopt, false, sel, {}, {}, {}); - - // Results should be deterministic - EXPECT_EQ(dist1[1], dist2[1]); - - // Should select the same edge both times - EXPECT_EQ(dag1.via_edges[0], dag2.via_edges[0]); -} - -TEST(ShortestPaths, PreferHigherResidualTieBreak) { - // Same two parallel edges but enforce HigherResidual tie-break - std::int32_t src[2] = {0, 0}; - std::int32_t dst[2] = {1, 1}; - double cap[2] = {1.0, 2.0}; - std::int64_t cost[2] = {1, 1}; - auto g = StrictMultiDiGraph::from_arrays(2, - std::span(src, 2), std::span(dst, 2), - std::span(cap, 2), std::span(cost, 2)); - - // Residuals equal to capacity; higher residual should pick edge with cap=2 - EdgeSelection sel; - sel.multi_edge = false; - sel.require_capacity = true; - sel.tie_break = EdgeTieBreak::PreferHigherResidual; - - auto [dist, dag] = shortest_paths(g, 0, std::nullopt, false, sel, g.capacity_view(), {}, {}); - ASSERT_FALSE(dag.via_edges.empty()); - // Edge ids are compacted; find which corresponds to cap=2 by checking capacity - auto chosen = dag.via_edges[0]; - auto capv = g.capacity_view(); - EXPECT_EQ(capv[chosen], 2.0); -} - -TEST(ShortestPaths, ResolveToPathsSplittingParallelEdges) { - // Test resolve_to_paths both with and without splitting parallel edges - // Graph 0->1 has two parallel edges, 1->2 single edge - std::int32_t src[3] = {0, 0, 1}; - std::int32_t dst[3] = {1, 1, 2}; - double cap[3] = {1.0, 1.0, 1.0}; - std::int64_t cost[3] = {1, 1, 1}; - auto g = StrictMultiDiGraph::from_arrays(3, - std::span(src, 3), std::span(dst, 3), - std::span(cap, 3), std::span(cost, 3)); - - EdgeSelection sel; sel.multi_edge = true; sel.require_capacity = false; sel.tie_break = EdgeTieBreak::Deterministic; - auto [dist, dag] = shortest_paths(g, 0, 2, true, sel, {}, {}, {}); - - // Resolve without splitting (grouped parallel edges) - auto grouped = resolve_to_paths(dag, 0, 2, /*split_parallel_edges=*/false); - ASSERT_FALSE(grouped.empty()); - ASSERT_GE(grouped[0].size(), 2u); - // First tuple corresponds to node 0 with two parallel edges grouped - EXPECT_EQ(grouped[0][0].first, 0); - EXPECT_EQ(grouped[0][0].second.size(), 2u); - - // Resolve with splitting should produce 2 concrete paths (one per parallel edge) - auto concrete = resolve_to_paths(dag, 0, 2, /*split_parallel_edges=*/true); - EXPECT_EQ(concrete.size(), 2u); -} - -TEST(ShortestPaths, ResolveToPathsWithMaxPathsLimit) { - // Verify that max_paths limit caps enumeration in resolve_to_paths - // Create graph with multiple equal-cost paths via 2x2 grid - std::int32_t src[4] = {0, 0, 1, 2}; - std::int32_t dst[4] = {1, 2, 3, 3}; - double cap[4] = {1.0, 1.0, 1.0, 1.0}; - std::int64_t cost[4] = {1, 1, 1, 1}; - auto g = StrictMultiDiGraph::from_arrays(4, - std::span(src, 4), std::span(dst, 4), - std::span(cap, 4), std::span(cost, 4)); - - EdgeSelection sel; sel.multi_edge = true; sel.require_capacity = false; sel.tie_break = EdgeTieBreak::Deterministic; - auto [dist, dag] = shortest_paths(g, 0, 3, true, sel, {}, {}, {}); - - // Without limit, should find both paths - auto all_paths = resolve_to_paths(dag, 0, 3, false, std::nullopt); - EXPECT_GE(all_paths.size(), 1u); - - // With max_paths=1, enumeration should stop at first path - auto limited = resolve_to_paths(dag, 0, 3, false, std::int64_t(1)); - EXPECT_EQ(limited.size(), 1u); -} - -TEST(ShortestPaths, LargeGraphStressTest) { - // Create a larger graph to test performance - auto g = make_grid_graph(20, 20); // 400 nodes - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = false; - sel.tie_break = EdgeTieBreak::Deterministic; - - auto [dist, dag] = shortest_paths(g, 0, std::nullopt, true, sel, {}, {}, {}); - - // Bottom-right corner should be reachable with cost 38 (19 right + 19 down) - EXPECT_DOUBLE_EQ(dist[399], 38.0); - expect_pred_dag_valid(dag, g.num_nodes()); -} - -TEST(ShortestPaths, RejectsMaskLengthMismatch) { - // Simple line graph 0->1->2 - auto g = make_line_graph(3); - auto be = make_cpu_backend(); - Algorithms algs(be); - auto gh = algs.build_graph(g); - SpfOptions opts; - opts.multipath = true; - opts.dst = 2; - // Create node_mask with wrong length (N-1) - auto node_mask = make_bool_mask(static_cast(g.num_nodes() - 1), true); - opts.node_mask = std::span(node_mask.get(), static_cast(g.num_nodes() - 1)); - EXPECT_THROW({ (void)algs.spf(gh, 0, opts); }, std::invalid_argument); - - // Edge mask wrong length (M-1) - SpfOptions opts2; - opts2.multipath = true; - opts2.dst = 2; - auto edge_mask = make_bool_mask(static_cast(g.num_edges() - 1), true); - opts2.edge_mask = std::span(edge_mask.get(), static_cast(g.num_edges() - 1)); - EXPECT_THROW({ (void)algs.spf(gh, 0, opts2); }, std::invalid_argument); -} - -// ============================================================================ -// Regression: zero-cost edges must not create cycles in the PredDAG -// ============================================================================ - -// A zero-cost pair 1<->2 previously recorded each node as the other's parent -// (both relaxations see an "equal cost" path), producing a cyclic PredDAG. -// EqualBalanced placement then stalled (returned 0 flow) and path enumeration -// walked the cycle forever. Equal-cost predecessors are now only accepted while -// the child is unsettled, which keeps the DAG acyclic by settle order. -TEST(ShortestPaths, ZeroCostEdges_PredDAGIsAcyclic) { - std::int32_t src_arr[4] = {0, 1, 2, 2}; - std::int32_t dst_arr[4] = {1, 2, 1, 3}; - double cap_arr[4] = {10.0, 10.0, 10.0, 10.0}; - std::int64_t cost_arr[4] = {1, 0, 0, 1}; - auto g = StrictMultiDiGraph::from_arrays(4, - std::span(src_arr, 4), std::span(dst_arr, 4), - std::span(cap_arr, 4), std::span(cost_arr, 4)); - - EdgeSelection sel; - sel.multi_edge = true; - auto [dist, dag] = shortest_paths(g, 0, std::nullopt, /*multipath=*/true, sel); - - EXPECT_EQ(dist[3], 2); - - // No 2-cycles: v's parent u must not also have v as a parent. - for (std::int32_t v = 0; v < 4; ++v) { - for (auto i = dag.parent_offsets[static_cast(v)]; - i < dag.parent_offsets[static_cast(v) + 1]; ++i) { - auto u = dag.parents[static_cast(i)]; - for (auto j = dag.parent_offsets[static_cast(u)]; - j < dag.parent_offsets[static_cast(u) + 1]; ++j) { - EXPECT_NE(dag.parents[static_cast(j)], v) - << "cycle " << u << "<->" << v << " in PredDAG"; - } - } - } - - // Path enumeration must terminate and yield the single simple path. - auto paths = resolve_to_paths(dag, 0, 3); - ASSERT_EQ(paths.size(), 1u); - EXPECT_EQ(paths[0].size(), 4u); // 0 -> 1 -> 2 -> 3 -} - -// --------------------------------------------------------------------------- -// shortest_paths_to: reverse SPF toward one destination, with forced fan-out. -// --------------------------------------------------------------------------- -#include "netgraph/core/flow_state.hpp" - -namespace { -// Nodes: 0=P (pseudo source), 1=S1, 2=S2, 3=M, 4=T. -// Edges: 0: P->S1 cost 0 cap 1e6; 1: P->S2 cost 0 cap 1e6; -// 2: S1->T cost 1 cap 100; 3: S2->M cost 1 cap 20; 4: M->T cost 1 cap 60. -// S1 is one hop from T, S2 two hops, so an SPF from P keeps only S1. -StrictMultiDiGraph make_fanout_graph() { - std::int32_t src[5] = {0, 0, 1, 2, 3}; - std::int32_t dst[5] = {1, 2, 4, 3, 4}; - double cap[5] = {1e6, 1e6, 100.0, 20.0, 60.0}; - std::int64_t cost[5] = {0, 0, 1, 1, 1}; - return StrictMultiDiGraph::from_arrays(5, - std::span(src, 5), std::span(dst, 5), std::span(cap, 5), std::span(cost, 5)); -} -EdgeSelection cost_only_sel() { - EdgeSelection sel; sel.multi_edge = true; sel.require_capacity = false; sel.tie_break = EdgeTieBreak::Deterministic; - return sel; -} -} // namespace - -TEST(ShortestPathsTo, DistancesMatchForwardDistancesToDst) { - auto g = make_grid_graph(3, 4); - const NodeId t = g.num_nodes() - 1; - auto [dist_to, dag] = shortest_paths_to(g, t, /*multipath=*/true, cost_only_sel()); - expect_pred_dag_valid(dag, g.num_nodes()); - for (NodeId s = 0; s < g.num_nodes(); ++s) { - auto [dist_from_s, fwd] = shortest_paths(g, s, t, /*multipath=*/true, cost_only_sel()); - EXPECT_EQ(dist_to[static_cast(s)], dist_from_s[static_cast(t)]) << "node " << s; - } - // Every DAG entry u -> v via e lies on a shortest u -> t walk. - const auto esrc = g.edge_src_view(); const auto edst = g.edge_dst_view(); const auto cost = g.cost_view(); - for (NodeId v = 0; v < g.num_nodes(); ++v) { - for (auto i = dag.parent_offsets[static_cast(v)]; i < dag.parent_offsets[static_cast(v)+1]; ++i) { - const auto e = static_cast(dag.via_edges[static_cast(i)]); - const NodeId u = dag.parents[static_cast(i)]; - EXPECT_EQ(esrc[e], u); EXPECT_EQ(edst[e], v); - EXPECT_EQ(dist_to[static_cast(u)], cost[e] + dist_to[static_cast(v)]); - } - } -} - -TEST(ShortestPathsTo, ForwardSpfFromPseudoSourceKeepsOnlyNearestSource) { - auto g = make_fanout_graph(); - auto [dist, dag] = shortest_paths(g, 0, 4, /*multipath=*/true, cost_only_sel()); - // T (node 4) is reached only via S1 -> T (edge 2): S2's branch costs 2 and is - // not on a shortest P -> T path, so a placement from P never uses S2. - ASSERT_EQ(dag.parent_offsets[5] - dag.parent_offsets[4], 1); - EXPECT_EQ(dag.via_edges[static_cast(dag.parent_offsets[4])], 2); -} - -TEST(ShortestPathsTo, FanoutEdgesForceEverySourceIntoTheDag) { - auto g = make_fanout_graph(); - EdgeId fan[2] = {0, 1}; - auto [dist, dag] = shortest_paths_to(g, 4, /*multipath=*/true, cost_only_sel(), {}, {}, {}, std::span(fan, 2)); - expect_pred_dag_valid(dag, g.num_nodes()); - EXPECT_EQ(dist[1], 1); EXPECT_EQ(dist[2], 2); EXPECT_EQ(dist[0], 1) << "pseudo source keeps the SPF distance via S1"; - // Both S1 and S2 now have P as parent via their attachment edge. - ASSERT_EQ(dag.parent_offsets[2] - dag.parent_offsets[1], 1); EXPECT_EQ(dag.via_edges[static_cast(dag.parent_offsets[1])], 0); - ASSERT_EQ(dag.parent_offsets[3] - dag.parent_offsets[2], 1); EXPECT_EQ(dag.via_edges[static_cast(dag.parent_offsets[2])], 1); - // Entry the SPF already recorded (P->S1) is not duplicated. - int p_entries = 0; - for (auto v : dag.parents) if (v == 0) ++p_entries; - EXPECT_EQ(p_entries, 2); - - // Lossless equal-balanced admission over the fan-out: shares 50/50 of 100; - // S2's branch admits 20 of 50 (link 3) so the whole demand scales to 0.4. - FlowState fs(g); - EXPECT_NEAR(fs.place_on_dag(0, 4, dag, 100.0, FlowPlacement::EqualBalanced), 40.0, 1e-9); - EXPECT_NEAR(fs.edge_flow_view()[2], 20.0, 1e-9); - EXPECT_NEAR(fs.edge_flow_view()[3], 20.0, 1e-9); -} - -TEST(ShortestPathsTo, FanoutSkipsUnreachableAndMaskedHeads) { - auto g = make_fanout_graph(); - EdgeId fan[2] = {0, 1}; - auto edge_mask = make_bool_mask(static_cast(g.num_edges()), true); - edge_mask[3] = false; // S2 -> M down: S2 cannot reach T - auto [dist, dag] = shortest_paths_to(g, 4, true, cost_only_sel(), {}, {}, - std::span(edge_mask.get(), static_cast(g.num_edges())), - std::span(fan, 2)); - EXPECT_EQ(dist[2], std::numeric_limits::max()); - EXPECT_EQ(dag.parent_offsets[3] - dag.parent_offsets[2], 0) << "no fan-out entry to an unreachable source"; - EXPECT_EQ(dag.parent_offsets[2] - dag.parent_offsets[1], 1); -} - -TEST(ShortestPathsTo, FanoutFromInteriorNodeIsRejected) { - auto g = make_fanout_graph(); - EdgeId fan[1] = {4}; // M -> T, but M already has the incoming entry S2 -> M - EXPECT_THROW((void)shortest_paths_to(g, 4, true, cost_only_sel(), {}, {}, {}, std::span(fan, 1)), - std::invalid_argument); - EdgeId bad[1] = {99}; - EXPECT_THROW((void)shortest_paths_to(g, 4, true, cost_only_sel(), {}, {}, {}, std::span(bad, 1)), - std::invalid_argument); -} - -TEST(ShortestPathsTo, SinglePathModeKeepsOneSuccessorPerNode) { - auto g = make_n_disjoint_paths(3, 10.0); - const NodeId t = g.num_nodes() - 1; - auto [dist, dag] = shortest_paths_to(g, t, /*multipath=*/false, cost_only_sel()); - expect_pred_dag_valid(dag, g.num_nodes()); - // Count DAG entries leaving node 0: exactly one successor. - int leaving_src = 0; - for (auto p : dag.parents) if (p == 0) ++leaving_src; - EXPECT_EQ(leaving_src, 1); -} - -// --------------------------------------------------------------------------- -// Queue differential: the bucket queue must reproduce the reference heap's -// results bit for bit (distances, parent_offsets, parents, via_edges) across -// the whole option matrix, including zero-cost edges, masks, residuals, -// single-path capacity ties, destination early exit and workspace reuse. -// --------------------------------------------------------------------------- -namespace { - -using SpfResult = std::pair, PredDAG>; - -struct DiffGraph { - StrictMultiDiGraph g; - std::unique_ptr node_mask, edge_mask; - std::vector residual; - std::span nm() const { return {node_mask.get(), static_cast(g.num_nodes())}; } - std::span em() const { return {edge_mask.get(), static_cast(g.num_edges())}; } -}; - -struct DiffSpec { - unsigned seed; int n; int degree; bool masked; Cost max_cost; int zero_pct; bool int64_offset; -}; - -DiffGraph make_diff_graph(const DiffSpec& s) { - std::mt19937 rng(s.seed); - std::vector src, dst; - std::vector cap; - std::vector cost; - auto draw_cost = [&]() -> Cost { - Cost c = (static_cast(rng() % 100) < s.zero_pct) ? 0 : 1 + static_cast(rng() % static_cast(s.max_cost)); - return c + (s.int64_offset ? (Cost(1) << 34) : 0); - }; - for (int u = 0; u < s.n; ++u) { - src.push_back(u); dst.push_back((u + 1) % s.n); cost.push_back(draw_cost()); cap.push_back(1.0 + double(rng() % 100) / 7.0); - for (int k = 1; k < s.degree; ++k) { - src.push_back(u); dst.push_back(static_cast(rng() % s.n)); // self-loops and parallel edges allowed - cost.push_back(draw_cost()); cap.push_back(1.0 + double(rng() % 100) / 7.0); - } - } - // A root node with out-edges only (never has an incoming DAG entry): its - // out-edges serve as legal fanout edges for the reverse search. - const int root = s.n; - for (int k = 0; k < 3; ++k) { src.push_back(root); dst.push_back(static_cast(rng() % s.n)); cost.push_back(draw_cost()); cap.push_back(2.0); } - DiffGraph d{StrictMultiDiGraph::from_arrays(s.n + 1, src, dst, cap, cost), nullptr, nullptr, {}}; - const int N = d.g.num_nodes(); const int E = d.g.num_edges(); - d.node_mask = std::make_unique(static_cast(N)); - d.edge_mask = std::make_unique(static_cast(E)); - d.residual.assign(d.g.capacity_view().begin(), d.g.capacity_view().end()); - for (int i = 0; i < N; ++i) d.node_mask[static_cast(i)] = !s.masked || rng() % 23 != 0; - for (int i = 0; i < E; ++i) { - d.edge_mask[static_cast(i)] = !s.masked || rng() % 11 != 0; - if (s.masked && rng() % 13 == 0) d.residual[static_cast(i)] = 0; - if (s.masked && rng() % 17 == 0) d.residual[static_cast(i)] = kMinCap * static_cast(rng() % 3); - } - return d; -} - -bool same_result(const SpfResult& a, const SpfResult& b) { - return a.first == b.first && a.second.parent_offsets == b.second.parent_offsets && - a.second.parents == b.second.parents && a.second.via_edges == b.second.via_edges; -} - -const std::vector kDiffSpecs = { - {1, 40, 5, true, 31, 0, false}, {2, 43, 6, true, 31, 0, false}, {3, 46, 6, true, 31, 25, false}, - {4, 60, 4, false, 1, 0, false}, {5, 64, 5, true, 1, 30, false}, {6, 80, 6, true, 1000, 10, false}, - {7, 50, 6, true, 31, 0, true}, {8, 120, 8, false, 31, 0, false}, {9, 90, 3, true, 5, 40, false}, - {10, 30, 12, true, 3, 20, false}, - // Ring graphs (degree 1): a frontier of one node exercises the bucket - // queue's inline item, and zero-cost edges its promotion into the buckets. - {11, 300, 1, false, 31, 0, false}, {12, 300, 1, true, 5, 30, false}, -}; - -template -void for_each_option(const DiffGraph& d, Fn&& fn) { - for (int mp = 0; mp < 2; ++mp) for (int me = 0; me < 2; ++me) for (int tb = 0; tb < 2; ++tb) - for (int rc = 0; rc < 2; ++rc) for (int ur = 0; ur < 2; ++ur) for (int um = 0; um < 2; ++um) - for (EdgePriority pri : {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}) { - EdgeSelection sel; - sel.multi_edge = me != 0; - sel.require_capacity = rc != 0; - sel.tie_break = tb ? EdgeTieBreak::PreferHigherResidual : EdgeTieBreak::Deterministic; - sel.priority = pri; - auto res = ur ? std::span(d.residual) : std::span{}; - auto nm = um ? d.nm() : std::span{}; - auto em = um ? d.em() : std::span{}; - fn(mp != 0, sel, res, nm, em); - } -} - -} // namespace - -TEST(ShortestPaths, QueueDifferential_Forward) { - std::size_t checked = 0; - for (const auto& spec : kDiffSpecs) { - auto d = make_diff_graph(spec); - const int n = d.g.num_nodes(); - for (NodeId s : {NodeId(0), NodeId(n / 3), NodeId(n - 2), NodeId(n - 1)}) { - for_each_option(d, [&](bool mp, const EdgeSelection& sel, auto res, auto nm, auto em) { - auto full = shortest_paths(d.g, s, std::nullopt, mp, sel, res, nm, em, SpfQueue::Heap); - NodeId far = -1; Cost fd = -1; - for (int v = 0; v < n; ++v) if (full.first[static_cast(v)] != std::numeric_limits::max() && full.first[static_cast(v)] > fd) { fd = full.first[static_cast(v)]; far = v; } - const auto row = d.g.row_offsets_view(); const auto col = d.g.col_indices_view(); - std::vector> dsts = {std::nullopt, s, NodeId((s + n / 2) % n), far}; - if (row[static_cast(s) + 1] > row[static_cast(s)]) dsts.push_back(col[static_cast(row[static_cast(s)])]); - for (auto dst : dsts) { - auto expected = shortest_paths(d.g, s, dst, mp, sel, res, nm, em, SpfQueue::Heap); - for (int rep = 0; rep < 2; ++rep) { - auto actual = shortest_paths(d.g, s, dst, mp, sel, res, nm, em, SpfQueue::Bucket); - ++checked; - ASSERT_TRUE(same_result(expected, actual)) - << "seed=" << spec.seed << " src=" << s << " dst=" << (dst ? *dst : -1) - << " mp=" << mp << " me=" << sel.multi_edge << " rc=" << sel.require_capacity; - } - // Auto must equal one of the two explicit routes, and both equal each other. - auto automatic = shortest_paths(d.g, s, dst, mp, sel, res, nm, em); - ASSERT_TRUE(same_result(expected, automatic)); - // The DAG-only variant is the same search minus the distance vector. - if (dst) { // *dst may be -1 (no reachable node): then the cost is INT64_MAX - const Cost want = (*dst >= 0 && *dst < n) ? expected.first[static_cast(*dst)] - : std::numeric_limits::max(); - for (SpfQueue q : {SpfQueue::Heap, SpfQueue::Bucket}) { - auto [cost, dag] = shortest_paths_dag(d.g, s, *dst, mp, sel, res, nm, em, q); - ASSERT_EQ(cost, want); - ASSERT_TRUE(same_result(expected, SpfResult{expected.first, dag})); - } - } - } - }); - } - } - EXPECT_GT(checked, 60000u); -} - -TEST(ShortestPaths, QueueDifferential_Reverse) { - std::size_t checked = 0; - for (const auto& spec : kDiffSpecs) { - auto d = make_diff_graph(spec); - const int n = d.g.num_nodes(); - const NodeId root = n - 1; - const auto row = d.g.row_offsets_view(); const auto aei = d.g.adj_edge_index_view(); - std::vector fanout(aei.begin() + row[static_cast(root)], aei.begin() + row[static_cast(root) + 1]); - for (NodeId t : {NodeId(0), NodeId(n / 3), NodeId(n - 2)}) { - for_each_option(d, [&](bool mp, const EdgeSelection& sel, auto res, auto nm, auto em) { - for (int with_fanout = 0; with_fanout < 2; ++with_fanout) { - auto fo = with_fanout ? std::span(fanout) : std::span{}; - auto expected = shortest_paths_to(d.g, t, mp, sel, res, nm, em, fo, SpfQueue::Heap); - for (int rep = 0; rep < 2; ++rep) { - auto actual = shortest_paths_to(d.g, t, mp, sel, res, nm, em, fo, SpfQueue::Bucket); - ++checked; - ASSERT_TRUE(same_result(expected, actual)) - << "seed=" << spec.seed << " dst=" << t << " mp=" << mp << " fanout=" << with_fanout; - } - } - }); - } - } - EXPECT_GT(checked, 15000u); -} - -TEST(ShortestPaths, QueueDifferential_ComparisonHasTeeth) { - // Guard: the comparison must reject a result whose predecessor order differs. - auto d = make_diff_graph(kDiffSpecs[7]); - EdgeSelection sel; - auto a = shortest_paths(d.g, 0, std::nullopt, true, sel, {}, {}, {}, SpfQueue::Heap); - auto b = a; - bool permuted = false; - for (std::size_t v = 0; v + 1 < b.second.parent_offsets.size() && !permuted; ++v) { - auto lo = static_cast(b.second.parent_offsets[v]); - auto hi = static_cast(b.second.parent_offsets[v + 1]); - if (hi - lo >= 2 && b.second.parents[lo] != b.second.parents[hi - 1]) { - std::swap(b.second.parents[lo], b.second.parents[hi - 1]); - std::swap(b.second.via_edges[lo], b.second.via_edges[hi - 1]); - permuted = true; - } - } - ASSERT_TRUE(permuted) << "fixture has no multi-parent node"; - EXPECT_FALSE(same_result(a, b)); - EXPECT_TRUE(same_result(a, a)); -} - -TEST(ShortestPaths, BucketQueueKeepsCapacityOrderedPredecessors) { - // 0 -> {1,2,3} at cost 1 with bottlenecks 1, 3, 2; each -> 4 at cost 1. - // Equal-cost nodes settle in descending bottleneck order, so 4's parents are - // recorded as 2, 3, 1 (not in node-id order). Both queues must agree. - std::vector src = {0, 0, 0, 1, 2, 3}; - std::vector dst = {1, 2, 3, 4, 4, 4}; - std::vector cap = {1.0, 3.0, 2.0, 5.0, 5.0, 5.0}; - std::vector cost = {1, 1, 1, 1, 1, 1}; - auto g = StrictMultiDiGraph::from_arrays(5, src, dst, cap, cost); - EdgeSelection sel; - for (SpfQueue q : {SpfQueue::Heap, SpfQueue::Bucket, SpfQueue::Auto}) { - auto [dist, dag] = shortest_paths(g, 0, std::nullopt, true, sel, {}, {}, {}, q); - std::vector parents(dag.parents.begin() + dag.parent_offsets[4], dag.parents.begin() + dag.parent_offsets[5]); - EXPECT_EQ(parents, (std::vector{2, 3, 1})); - EXPECT_EQ(dist[4], 2); - } -} - -TEST(ShortestPaths, WorkspaceIsResetAfterFanoutThrow) { - auto d = make_diff_graph(kDiffSpecs[1]); - const int n = d.g.num_nodes(); - EdgeSelection sel; - auto before = shortest_paths_to(d.g, 0, true, sel, d.residual, d.nm(), d.em(), {}, SpfQueue::Bucket); - auto before_fwd = shortest_paths(d.g, 3, std::nullopt, true, sel, d.residual, d.nm(), d.em(), SpfQueue::Bucket); - // A fanout edge leaving a node that already has an incoming DAG entry throws - // after the search has filled the workspace. - EdgeId offending = -1; - const auto esrc = d.g.edge_src_view(); - for (std::size_t v = 0; v + 1 < before.second.parent_offsets.size() && offending < 0; ++v) { - if (before.second.parent_offsets[v + 1] > before.second.parent_offsets[v]) { - const auto row = d.g.row_offsets_view(); const auto aei = d.g.adj_edge_index_view(); - if (row[v + 1] > row[v]) offending = aei[static_cast(row[v])]; - } - } - ASSERT_GE(offending, 0); - ASSERT_TRUE(before.second.parent_offsets[static_cast(esrc[static_cast(offending)]) + 1] > - before.second.parent_offsets[static_cast(esrc[static_cast(offending)])]); - std::vector bad = {offending}; - for (SpfQueue q : {SpfQueue::Bucket, SpfQueue::Heap}) { - EXPECT_THROW((void)shortest_paths_to(d.g, 0, true, sel, d.residual, d.nm(), d.em(), bad, q), std::invalid_argument); - EXPECT_THROW((void)shortest_paths_to(d.g, 0, true, sel, d.residual, d.nm(), d.em(), std::vector{n * 10}, q), std::invalid_argument); - auto after = shortest_paths_to(d.g, 0, true, sel, d.residual, d.nm(), d.em(), {}, q); - EXPECT_TRUE(same_result(before, after)); - auto after_fwd = shortest_paths(d.g, 3, std::nullopt, true, sel, d.residual, d.nm(), d.em(), q); - EXPECT_TRUE(same_result(before_fwd, after_fwd)); - } -} - -TEST(ShortestPaths, WorkspaceReuseAcrossGraphSizesAndEmptyGraphs) { - auto small = make_diff_graph(kDiffSpecs[0]); - auto large = make_diff_graph(kDiffSpecs[7]); - auto empty = StrictMultiDiGraph::from_arrays(0, {}, {}, {}, {}); - EdgeSelection sel; - for (SpfQueue q : {SpfQueue::Bucket, SpfQueue::Heap}) { - auto s1 = shortest_paths(small.g, 1, std::nullopt, true, sel, small.residual, small.nm(), small.em(), q); - auto l1 = shortest_paths(large.g, 5, NodeId(7), false, sel, {}, {}, {}, q); - auto r1 = shortest_paths_to(large.g, 9, true, sel, large.residual, {}, {}, {}, q); - auto e1 = shortest_paths(empty, 0, std::nullopt, true, sel, {}, {}, {}, q); - EXPECT_TRUE(e1.first.empty()); - EXPECT_EQ(e1.second.parent_offsets.size(), 1u); - auto e2 = shortest_paths_to(empty, 0, true, sel, {}, {}, {}, {}, q); - EXPECT_TRUE(e2.first.empty()); - auto s2 = shortest_paths(small.g, 1, std::nullopt, true, sel, small.residual, small.nm(), small.em(), q); - auto l2 = shortest_paths(large.g, 5, NodeId(7), false, sel, {}, {}, {}, q); - auto r2 = shortest_paths_to(large.g, 9, true, sel, large.residual, {}, {}, {}, q); - EXPECT_TRUE(same_result(s1, s2)); - EXPECT_TRUE(same_result(l1, l2)); - EXPECT_TRUE(same_result(r1, r2)); - // A masked-out source still returns an all-INF result without touching the workspace. - auto masked = make_bool_mask(static_cast(small.g.num_nodes()), true); - masked[1] = false; - auto m = shortest_paths(small.g, 1, std::nullopt, true, sel, {}, std::span(masked.get(), static_cast(small.g.num_nodes())), {}, q); - for (auto dv : m.first) EXPECT_EQ(dv, std::numeric_limits::max()); - auto s3 = shortest_paths(small.g, 1, std::nullopt, true, sel, small.residual, small.nm(), small.em(), q); - EXPECT_TRUE(same_result(s1, s3)); - } -} - -// --------------------------------------------------------------------------- -// EdgeSelection::priority: which per-edge value ranks equal-cost alternatives. -// --------------------------------------------------------------------------- -TEST(ShortestPaths, EdgePriorityRanksParallelEdges) { - // Two parallel equal-cost edges 0 -> 1: capacities 10 and 5, residuals 2 and 4. - std::vector src = {0, 0}, dst = {1, 1}; - std::vector cap = {10.0, 5.0}; - std::vector cost = {1, 1}; - auto g = StrictMultiDiGraph::from_arrays(2, src, dst, cap, cost); - std::vector residual = {2.0, 4.0}; - // Edge ids after construction: both cost 1, same (src,dst): input order kept, so id 0 has cap 10. - ASSERT_DOUBLE_EQ(g.capacity_view()[0], 10.0); - auto pick = [&](EdgePriority pri, bool with_residual) { - EdgeSelection sel; sel.multi_edge = false; sel.tie_break = EdgeTieBreak::PreferHigherResidual; sel.priority = pri; - auto [d, dag] = shortest_paths(g, 0, std::nullopt, true, sel, - with_residual ? std::span(residual) : std::span{}, {}, {}); - EXPECT_EQ(dag.parent_offsets[2] - dag.parent_offsets[1], 1); - return dag.via_edges[static_cast(dag.parent_offsets[1])]; - }; - // With a residual: Residual prefers residual 4 (edge 1); Capacity prefers cap 10 (edge 0); - // Headroom prefers 4/5 = 0.8 over 2/10 = 0.2 (edge 1). - EXPECT_EQ(pick(EdgePriority::Residual, true), 1); - EXPECT_EQ(pick(EdgePriority::Capacity, true), 0); - EXPECT_EQ(pick(EdgePriority::Headroom, true), 1); - // Without a residual every priority falls back to the capacity (headroom is 1 - // for both, so the deterministic smaller id wins). - EXPECT_EQ(pick(EdgePriority::Residual, false), 0); - EXPECT_EQ(pick(EdgePriority::Capacity, false), 0); - EXPECT_EQ(pick(EdgePriority::Headroom, false), 0); -} - -TEST(ShortestPaths, EdgePriorityRanksEqualCostPaths) { - // 0 -> 1 -> 3 and 0 -> 2 -> 3, both cost 2. Path via 1: capacities 100/100 with - // residuals 10/10 (headroom 0.1). Path via 2: capacities 20/20 with residuals - // 8/8 (headroom 0.4). Single-path mode keeps the path with the better bottleneck. - std::vector src = {0, 1, 0, 2}, dst = {1, 3, 2, 3}; - std::vector cap = {100.0, 100.0, 20.0, 20.0}; - std::vector cost = {1, 1, 1, 1}; - auto g = StrictMultiDiGraph::from_arrays(4, src, dst, cap, cost); - std::vector residual(4); - const auto esrc = g.edge_src_view(), edst = g.edge_dst_view(); - for (std::size_t e = 0; e < 4; ++e) residual[e] = (esrc[e] == 1 || edst[e] == 1) ? 10.0 : 8.0; - auto parent_of_dst = [&](EdgePriority pri) { - EdgeSelection sel; sel.multi_edge = true; sel.priority = pri; - auto [d, dag] = shortest_paths(g, 0, std::nullopt, /*multipath=*/false, sel, residual, {}, {}); - EXPECT_EQ(d[3], 2); - EXPECT_EQ(dag.parent_offsets[4] - dag.parent_offsets[3], 1); - return dag.parents[static_cast(dag.parent_offsets[3])]; - }; - EXPECT_EQ(parent_of_dst(EdgePriority::Residual), 1); // bottleneck residual 10 > 8 - EXPECT_EQ(parent_of_dst(EdgePriority::Capacity), 1); // bottleneck capacity 100 > 20 - EXPECT_EQ(parent_of_dst(EdgePriority::Headroom), 2); // headroom 0.4 > 0.1 - // Both queue routes agree for every priority. - for (EdgePriority pri : {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}) { - EdgeSelection sel; sel.multi_edge = false; sel.tie_break = EdgeTieBreak::PreferHigherResidual; sel.priority = pri; - auto a = shortest_paths(g, 0, std::nullopt, false, sel, residual, {}, {}, SpfQueue::Heap); - auto b = shortest_paths(g, 0, std::nullopt, false, sel, residual, {}, {}, SpfQueue::Bucket); - EXPECT_TRUE(same_result(a, b)); - auto ra = shortest_paths_to(g, 3, false, sel, residual, {}, {}, {}, SpfQueue::Heap); - auto rb = shortest_paths_to(g, 3, false, sel, residual, {}, {}, {}, SpfQueue::Bucket); - EXPECT_TRUE(same_result(ra, rb)); - } -} - -TEST(ShortestPaths, DagVariantHandlesInvalidEndpoints) { - auto d = make_diff_graph(kDiffSpecs[0]); - const int n = d.g.num_nodes(); - EdgeSelection sel; - // Unreachable or out-of-range destinations report INT64_MAX; the DAG is the - // full-search DAG (nothing stops the search early). - auto [c_out, dag_out] = shortest_paths_dag(d.g, 0, NodeId(n + 5), true, sel, {}, {}, {}); - EXPECT_EQ(c_out, std::numeric_limits::max()); - auto full = shortest_paths(d.g, 0, std::nullopt, true, sel, {}, {}, {}); - EXPECT_TRUE(same_result(full, SpfResult{full.first, dag_out})); - // A masked-out source yields an empty DAG and no cost. - auto masked = make_bool_mask(static_cast(n), true); - masked[0] = false; - auto [c_m, dag_m] = shortest_paths_dag(d.g, 0, 1, true, sel, {}, std::span(masked.get(), static_cast(n)), {}); - EXPECT_EQ(c_m, std::numeric_limits::max()); - EXPECT_EQ(dag_m.parents.size(), 0u); - EXPECT_EQ(dag_m.parent_offsets.size(), static_cast(n) + 1); -} - -// --------------------------------------------------------------------------- -// make_hops_dag: explicit routes with parallel edges per hop. -// --------------------------------------------------------------------------- -TEST(ShortestPaths, MakeHopsDagBuildsBundledHops) { - // 0 -> 1 via four parallel edges, 1 -> 2 via one edge, 1 -> 3 unrelated. - std::vector src = {0, 0, 0, 0, 1, 1}, dst = {1, 1, 1, 1, 2, 3}; - std::vector cap = {10, 10, 10, 10, 50, 5}; - std::vector cost = {1, 1, 1, 1, 1, 1}; - auto g = StrictMultiDiGraph::from_arrays(4, src, dst, cap, cost); - std::vector> hops = {{0, 1, 2, 3}, {4}}; - auto dag = make_hops_dag(g, hops); - ASSERT_EQ(dag.parent_offsets, (std::vector{0, 0, 4, 5, 5})); - EXPECT_EQ(dag.parents, (std::vector{0, 0, 0, 0, 1})); - EXPECT_EQ(dag.via_edges, (std::vector{0, 1, 2, 3, 4})); - // Hop order is kept as given. - auto reordered = make_hops_dag(g, std::vector>{{3, 1}, {4}}); - EXPECT_EQ(reordered.via_edges, (std::vector{3, 1, 4})); - // from_edges is the one-edge-per-hop case. - auto single = make_path_dag(g, std::array{2, 4}); - EXPECT_EQ(single.via_edges, (std::vector{2, 4})); - EXPECT_EQ(single.parent_offsets, (std::vector{0, 0, 1, 2, 2})); -} - -TEST(ShortestPaths, MakeHopsDagRejectsMalformedRoutes) { - std::vector src = {0, 0, 1, 1, 2}, dst = {1, 1, 2, 3, 0}; - std::vector cap = {1, 1, 1, 1, 1}; - std::vector cost = {1, 1, 1, 1, 1}; - auto g = StrictMultiDiGraph::from_arrays(4, src, dst, cap, cost); - using H = std::vector>; - EXPECT_THROW((void)make_hops_dag(g, H{}), std::invalid_argument); // empty route - EXPECT_THROW((void)make_hops_dag(g, H{{0}, {}}), std::invalid_argument); // empty hop - EXPECT_THROW((void)make_hops_dag(g, H{{0, 7}}), std::invalid_argument); // id out of range - EXPECT_THROW((void)make_hops_dag(g, H{{0, 0}}), std::invalid_argument); // repeated edge in a hop - EXPECT_THROW((void)make_hops_dag(g, H{{2, 3}}), std::invalid_argument); // not parallel (1->2 and 1->3) - EXPECT_NO_THROW((void)make_hops_dag(g, H{{0, 1}, {3}})); // 0->1 bundle, then 1->3 - EXPECT_THROW((void)make_hops_dag(g, H{{0}, {4}}), std::invalid_argument); // 0->1 then 2->0: not contiguous - EXPECT_THROW((void)make_hops_dag(g, H{{0}, {2}, {4}}), std::invalid_argument); // 0->1->2->0 revisits 0 - EXPECT_THROW((void)make_path_dag(g, std::array{0, 4}), std::invalid_argument); -} diff --git a/tests/cpp/smoke_test.cpp b/tests/cpp/smoke_test.cpp index eb29f21..bfe6563 100644 --- a/tests/cpp/smoke_test.cpp +++ b/tests/cpp/smoke_test.cpp @@ -1,36 +1,30 @@ #include + +#include #include +#include + +#include "netgraph/core/max_flow.hpp" #include "netgraph/core/strict_multidigraph.hpp" -#include "netgraph/core/shortest_paths.hpp" #include "netgraph/core/types.hpp" using namespace netgraph::core; -TEST(GraphSmoke, ConstructAndRunSPF) { - const std::int32_t N = 3; - // 0 -> 1 (cost 10) - // 1 -> 2 (cost 20) - // 0 -> 2 (cost 100) - std::int32_t src[3] = {0, 1, 0}; - std::int32_t dst[3] = {1, 2, 2}; - double cap[3] = {10.0, 10.0, 10.0}; - std::int64_t cost[3] = {10, 20, 100}; - - auto g = StrictMultiDiGraph::from_arrays(N, - std::span(src, 3), - std::span(dst, 3), - std::span(cap, 3), - std::span(cost, 3)); - - EXPECT_EQ(g.num_nodes(), N); +TEST(GraphSmoke, ConstructAndSolve) { + // 0 -> 1 (cost 10), 1 -> 2 (cost 20), 0 -> 2 (cost 100); capacities 10 units each. + const std::vector src = {0, 1, 0}; + const std::vector dst = {1, 2, 2}; + const std::vector cap = {10, 10, 10}; + const std::vector cost = {10, 20, 100}; + StrictMultiDiGraph g(3, src, dst, cap, cost, 1.0); + EXPECT_EQ(g.num_nodes(), 3); EXPECT_EQ(g.num_edges(), 3); - // Run SPF from 0 - EdgeSelection sel; - auto [dist, dag] = shortest_paths(g, 0, std::nullopt, true, sel); - - // Check distances - EXPECT_EQ(dist[0], 0); - EXPECT_EQ(dist[1], 10); - EXPECT_EQ(dist[2], 30); // Path 0->1->2 is cost 10+20=30, better than 0->2 (100) + const std::vector s = {0}; + const std::vector t = {2}; + auto r = place_global_units(g, g.capacity_units(), s, t, nullptr, std::nullopt); + EXPECT_EQ(r.placed, 20); + ASSERT_EQ(r.cost_distribution.size(), 2u); + EXPECT_EQ(r.cost_distribution[0], (std::pair{30, 10})); // 0 -> 1 -> 2 first + EXPECT_EQ(r.cost_distribution[1], (std::pair{100, 10})); // then the direct edge } diff --git a/tests/cpp/strict_multidigraph_tests.cpp b/tests/cpp/strict_multidigraph_tests.cpp index c475009..b68c164 100644 --- a/tests/cpp/strict_multidigraph_tests.cpp +++ b/tests/cpp/strict_multidigraph_tests.cpp @@ -1,354 +1,255 @@ +// The graph on integer units (APPROACH 2.1, 3): construction, validation order, layout B' +// ids, the reverse CSR, input_index, to_units and as_float. #include + +#include #include +#include +#include +#include +#include +#include + #include "netgraph/core/strict_multidigraph.hpp" #include "test_utils.hpp" using namespace netgraph::core; using namespace netgraph::core::test; -TEST(StrictMultiDiGraph, EmptyGraph) { - auto g = StrictMultiDiGraph::from_arrays(10, {}, {}, {}, {}); - EXPECT_EQ(g.num_nodes(), 10); - EXPECT_EQ(g.num_edges(), 0); - expect_csr_valid(g); - - // All row offsets should be 0 - auto row = g.row_offsets_view(); - for (auto offset : row) { - EXPECT_EQ(offset, 0); - } -} - -TEST(StrictMultiDiGraph, SingleNode) { - auto g = StrictMultiDiGraph::from_arrays(1, {}, {}, {}, {}); - EXPECT_EQ(g.num_nodes(), 1); - EXPECT_EQ(g.num_edges(), 0); - expect_csr_valid(g); -} - -TEST(StrictMultiDiGraph, SingleEdge) { - std::int32_t src[1] = {0}; - std::int32_t dst[1] = {1}; - double cap[1] = {5.0}; - std::int64_t cost[1] = {10}; - - auto g = StrictMultiDiGraph::from_arrays(2, - std::span(src, 1), std::span(dst, 1), - std::span(cap, 1), std::span(cost, 1)); - - EXPECT_EQ(g.num_nodes(), 2); - EXPECT_EQ(g.num_edges(), 1); - expect_csr_valid(g); - - // Check edge properties - auto cap_view = g.capacity_view(); - auto cost_view = g.cost_view(); - auto src_view = g.edge_src_view(); - auto dst_view = g.edge_dst_view(); - - EXPECT_EQ(cap_view[0], 5.0); - EXPECT_EQ(cost_view[0], 10); - EXPECT_EQ(src_view[0], 0); - EXPECT_EQ(dst_view[0], 1); -} - -TEST(StrictMultiDiGraph, ParallelEdges) { - // Three parallel edges from 0 to 1 - std::int32_t src[3] = {0, 0, 0}; - std::int32_t dst[3] = {1, 1, 1}; - double cap[3] = {1.0, 2.0, 3.0}; - std::int64_t cost[3] = {1, 1, 2}; - - auto g = StrictMultiDiGraph::from_arrays(2, - std::span(src, 3), std::span(dst, 3), - std::span(cap, 3), std::span(cost, 3)); - - EXPECT_EQ(g.num_nodes(), 2); - EXPECT_EQ(g.num_edges(), 3); - expect_csr_valid(g); - - // All three edges should be in node 0's adjacency list - auto row = g.row_offsets_view(); - EXPECT_EQ(row[1] - row[0], 3); -} - -TEST(StrictMultiDiGraph, EdgeSortingByCost) { - // Edges with different costs should be sorted - std::int32_t src[3] = {0, 0, 0}; - std::int32_t dst[3] = {1, 1, 1}; - double cap[3] = {1.0, 2.0, 3.0}; - std::int64_t cost[3] = {3, 1, 2}; // Unsorted +namespace { - auto g = StrictMultiDiGraph::from_arrays(2, - std::span(src, 3), std::span(dst, 3), - std::span(cap, 3), std::span(cost, 3)); +constexpr Amount L62 = Amount{1} << 62; - // Edges should be reordered by cost - auto cost_view = g.cost_view(); - EXPECT_EQ(cost_view[0], 1); // Lowest cost first - EXPECT_EQ(cost_view[1], 2); - EXPECT_EQ(cost_view[2], 3); // Highest cost last -} - -TEST(StrictMultiDiGraph, ExternalEdgeIdsPreserved) { - std::int32_t src[3] = {0, 0, 0}; - std::int32_t dst[3] = {1, 1, 1}; - double cap[3] = {1.0, 2.0, 3.0}; - std::int64_t cost[3] = {3, 1, 2}; - std::int64_t ext[3] = {100, 200, 300}; - - auto g = StrictMultiDiGraph::from_arrays(2, - std::span(src, 3), std::span(dst, 3), - std::span(cap, 3), std::span(cost, 3), - std::span(ext, 3)); - - // External IDs should be reordered alongside edges - auto ext_view = g.ext_edge_ids_view(); - EXPECT_EQ(ext_view.size(), 3); - - // Edge with cost 1 (input index 1) should have ext_id 200 - auto cost_view = g.cost_view(); - for (std::size_t i = 0; i < 3; ++i) { - if (cost_view[i] == 1) { - EXPECT_EQ(ext_view[i], 200); - } else if (cost_view[i] == 2) { - EXPECT_EQ(ext_view[i], 300); - } else if (cost_view[i] == 3) { - EXPECT_EQ(ext_view[i], 100); +// The message of the std::invalid_argument thrown by `fn`, or "" when nothing is thrown. +template +std::string error_of(F&& fn) { + try { + fn(); + } catch (const std::invalid_argument& e) { + return e.what(); + } + return ""; +} + +StrictMultiDiGraph build(std::int32_t n, std::vector src, std::vector dst, std::vector cap, + std::vector cost, double q = 1.0) { + return StrictMultiDiGraph(n, src, dst, cap, cost, q); +} + +bool contains(const std::string& s, const std::string& part) { return s.find(part) != std::string::npos; } + +} // namespace + +TEST(Graph, BPrimeOrderInputIndexAndReverseCsr) { + // (u, v, cap, cost) in input order; prototype fixture graph_bprime_order. + const std::vector edges = {{2, 0, 5, 3}, {0, 2, 4, 2}, {0, 1, 3, 2}, {1, 2, 2, 1}, + {0, 1, 1, 2}, {0, 2, 6, 1}, {2, 1, 7, 1}}; + auto g = make_graph(3, edges); + std::vector expect(edges.size()); + std::iota(expect.begin(), expect.end(), 0); + std::stable_sort(expect.begin(), expect.end(), [&](int a, int b) { + const auto& x = edges[static_cast(a)]; + const auto& y = edges[static_cast(b)]; + return std::tie(x.u, x.cost, x.v) < std::tie(y.u, y.cost, y.v); + }); + EXPECT_EQ(std::vector(g.input_index().begin(), g.input_index().end()), expect); + EXPECT_EQ(expect, (std::vector{5, 2, 4, 1, 3, 6, 0})); + EXPECT_EQ(std::vector(g.row_offsets().begin(), g.row_offsets().end()), + (std::vector{0, 4, 5, 7})); + // Every per-edge array is the input array permuted by input_index. + for (std::size_t e = 0; e < edges.size(); ++e) { + const auto& in = edges[static_cast(g.input_index()[e])]; + EXPECT_EQ(g.edge_src()[e], in.u); + EXPECT_EQ(g.edge_dst()[e], in.v); + EXPECT_EQ(g.capacity_units()[e], in.cap); + EXPECT_EQ(g.cost()[e], in.cost); + } + // The out-edges of u are the id range of its row, in (cost, dst, input) order. + for (NodeId u = 0; u < 3; ++u) { + for (auto e = g.row_offsets()[u]; e < g.row_offsets()[u + 1]; ++e) { + EXPECT_EQ(g.edge_src()[static_cast(e)], u); } } -} - -TEST(StrictMultiDiGraph, CSROffsetsMonotonicity) { - auto g = make_grid_graph(3, 3); - expect_csr_valid(g); - - auto row = g.row_offsets_view(); - for (std::size_t i = 0; i < row.size() - 1; ++i) { - EXPECT_LE(row[i], row[i + 1]) << "CSR offsets not monotonic"; + // input_index round trip through the caller's inverse. + const auto inv = id_of_input(g); + for (std::size_t i = 0; i < edges.size(); ++i) { + EXPECT_EQ(g.input_index()[static_cast(inv[i])], static_cast(i)); + } + std::vector caps_in; + for (const auto& e : edges) caps_in.push_back(e.cap); + EXPECT_EQ(to_input(g, g.capacity_units()), caps_in); + // Reverse CSR in (cost, src, input) order per destination, as input positions. + const std::vector> expect_rev = {{0}, {6, 2, 4}, {5, 3, 1}}; + for (NodeId v = 0; v < 3; ++v) { + std::vector got; + for (auto s = g.in_row_offsets()[v]; s < g.in_row_offsets()[v + 1]; ++s) { + const EdgeId e = g.in_adj_edge_index()[static_cast(s)]; + EXPECT_EQ(g.edge_dst()[static_cast(e)], v); + got.push_back(g.input_index()[static_cast(e)]); + } + EXPECT_EQ(got, expect_rev[static_cast(v)]) << "node " << v; } } -TEST(StrictMultiDiGraph, CSRReverseAdjacency) { - // Create a simple graph: 0->1, 1->2, 0->2 - std::int32_t src[3] = {0, 1, 0}; - std::int32_t dst[3] = {1, 2, 2}; - double cap[3] = {1.0, 1.0, 1.0}; - std::int64_t cost[3] = {1, 1, 1}; - - auto g = StrictMultiDiGraph::from_arrays(3, - std::span(src, 3), std::span(dst, 3), - std::span(cap, 3), std::span(cost, 3)); - - // Check reverse adjacency (incoming edges) - auto in_row = g.in_row_offsets_view(); - auto in_col = g.in_col_indices_view(); - - // Node 0 has no incoming edges - EXPECT_EQ(in_row[1] - in_row[0], 0); - - // Node 1 has one incoming edge (from 0) - EXPECT_EQ(in_row[2] - in_row[1], 1); - EXPECT_EQ(in_col[in_row[1]], 0); - - // Node 2 has two incoming edges (from 0 and 1) - EXPECT_EQ(in_row[3] - in_row[2], 2); -} - -TEST(StrictMultiDiGraph, MaxCapacityEdges) { - std::int32_t src[1] = {0}; - std::int32_t dst[1] = {1}; - double cap[1] = {std::numeric_limits::max()}; - std::int64_t cost[1] = {1}; - - auto g = StrictMultiDiGraph::from_arrays(2, - std::span(src, 1), std::span(dst, 1), - std::span(cap, 1), std::span(cost, 1)); - - auto cap_view = g.capacity_view(); - EXPECT_EQ(cap_view[0], std::numeric_limits::max()); -} - -TEST(StrictMultiDiGraph, ZeroCostEdges) { - std::int32_t src[2] = {0, 0}; - std::int32_t dst[2] = {1, 1}; - double cap[2] = {1.0, 2.0}; - std::int64_t cost[2] = {0, 1}; - - auto g = StrictMultiDiGraph::from_arrays(2, - std::span(src, 2), std::span(dst, 2), - std::span(cap, 2), std::span(cost, 2)); - - // Zero cost edge should be first in sorted order - auto cost_view = g.cost_view(); - EXPECT_EQ(cost_view[0], 0); - EXPECT_EQ(cost_view[1], 1); -} - -TEST(StrictMultiDiGraph, InvalidNumNodesThrows) { - // Negative node count - EXPECT_THROW({ - auto g = StrictMultiDiGraph::from_arrays(-1, {}, {}, {}, {}); - (void)g; - }, std::invalid_argument); -} - -TEST(StrictMultiDiGraph, MismatchedArrayLengthsThrow) { - std::int32_t src[1] = {0}; - std::int32_t dst[1] = {0}; - double cap[1] = {1.0}; - std::int64_t cost[2] = {1, 2}; - EXPECT_THROW({ - auto g = StrictMultiDiGraph::from_arrays(1, - std::span(src, 1), std::span(dst, 1), - std::span(cap, 1), std::span(cost, 2)); - (void)g; - }, std::invalid_argument); -} - -TEST(StrictMultiDiGraph, ExtEdgeIdsWrongLengthThrows) { - std::int32_t src[1] = {0}; - std::int32_t dst[1] = {0}; - double cap[1] = {1.0}; - std::int64_t cost[1] = {1}; - std::int64_t ext[2] = {10, 20}; - EXPECT_THROW({ - auto g = StrictMultiDiGraph::from_arrays(1, - std::span(src, 1), std::span(dst, 1), - std::span(cap, 1), std::span(cost, 1), - std::span(ext, 2)); - (void)g; - }, std::invalid_argument); -} - -TEST(StrictMultiDiGraph, OutOfRangeNodeThrows) { - std::int32_t src[1] = {0}; - std::int32_t dst[1] = {2}; // out of range for num_nodes=2 (0..1) - double cap[1] = {1.0}; - std::int64_t cost[1] = {1}; - EXPECT_THROW({ - auto g = StrictMultiDiGraph::from_arrays(2, - std::span(src, 1), std::span(dst, 1), - std::span(cap, 1), std::span(cost, 1)); - (void)g; - }, std::out_of_range); -} - -TEST(StrictMultiDiGraph, NegativeCapacityThrows) { - std::int32_t src[1] = {0}; - std::int32_t dst[1] = {1}; - double cap[1] = {-1.0}; - std::int64_t cost[1] = {1}; - EXPECT_THROW({ - auto g = StrictMultiDiGraph::from_arrays(2, - std::span(src, 1), std::span(dst, 1), - std::span(cap, 1), std::span(cost, 1)); - (void)g; - }, std::invalid_argument); -} - -TEST(StrictMultiDiGraph, NegativeCostThrows) { - std::int32_t src[1] = {0}; - std::int32_t dst[1] = {1}; - double cap[1] = {1.0}; - std::int64_t cost[1] = {-1}; - EXPECT_THROW({ - auto g = StrictMultiDiGraph::from_arrays(2, - std::span(src, 1), std::span(dst, 1), - std::span(cap, 1), std::span(cost, 1)); - (void)g; - }, std::invalid_argument); -} - -TEST(StrictMultiDiGraph, SelfLoopAllowed) { - // Self-loops (edges from node to itself) should be valid - std::int32_t src[1] = {0}; - std::int32_t dst[1] = {0}; // Self-loop - double cap[1] = {5.0}; - std::int64_t cost[1] = {1}; - - auto g = StrictMultiDiGraph::from_arrays(1, - std::span(src, 1), std::span(dst, 1), - std::span(cap, 1), std::span(cost, 1)); - - EXPECT_EQ(g.num_nodes(), 1); - EXPECT_EQ(g.num_edges(), 1); - - // Verify self-loop appears in both forward and reverse adjacency - auto row = g.row_offsets_view(); - EXPECT_EQ(row[1] - row[0], 1); // One outgoing edge - - auto in_row = g.in_row_offsets_view(); - EXPECT_EQ(in_row[1] - in_row[0], 1); // One incoming edge -} - -TEST(StrictMultiDiGraph, NegativeNodeIdThrows) { - // Negative node IDs should be rejected - std::int32_t src[1] = {-1}; // Invalid negative ID - std::int32_t dst[1] = {0}; - double cap[1] = {1.0}; - std::int64_t cost[1] = {1}; - EXPECT_THROW({ - auto g = StrictMultiDiGraph::from_arrays(1, - std::span(src, 1), std::span(dst, 1), - std::span(cap, 1), std::span(cost, 1)); - (void)g; - }, std::out_of_range); -} - -TEST(StrictMultiDiGraph, MultipleCostTiers) { - // Verify edges are sorted by cost into distinct tiers - std::int32_t src[6] = {0, 0, 0, 0, 0, 0}; - std::int32_t dst[6] = {1, 1, 1, 1, 1, 1}; - double cap[6] = {1.0, 2.0, 3.0, 4.0, 5.0, 6.0}; - std::int64_t cost[6] = {10, 5, 10, 1, 5, 1}; // Three tiers: 1, 5, 10 - - auto g = StrictMultiDiGraph::from_arrays(2, - std::span(src, 6), std::span(dst, 6), - std::span(cap, 6), std::span(cost, 6)); - - auto cost_view = g.cost_view(); - // Sorted costs should be [1, 1, 5, 5, 10, 10] - EXPECT_EQ(cost_view[0], 1); - EXPECT_EQ(cost_view[1], 1); - EXPECT_EQ(cost_view[2], 5); - EXPECT_EQ(cost_view[3], 5); - EXPECT_EQ(cost_view[4], 10); - EXPECT_EQ(cost_view[5], 10); -} - -TEST(StrictMultiDiGraph, CostSummaryMaxAndGcd) { - auto empty = StrictMultiDiGraph::from_arrays(0, {}, {}, {}, {}); +TEST(Graph, EqualKeysKeepInputOrder) { + // Parallel edges with equal (src, cost, dst) are ranked by input position, in both CSRs. + auto g = make_graph(3, {{0, 1, 4, 2}, {1, 2, 1, 1}, {0, 1, 7, 2}, {0, 1, 5, 1}, {2, 1, 3, 2}, {0, 1, 9, 2}}); + EXPECT_EQ(std::vector(g.input_index().begin(), g.input_index().end()), + (std::vector{3, 0, 2, 5, 1, 4})); + std::vector rev; + for (auto s = g.in_row_offsets()[1]; s < g.in_row_offsets()[2]; ++s) { + rev.push_back(g.input_index()[static_cast(g.in_adj_edge_index()[static_cast(s)])]); + } + // (cost, src, input): cost 1 from 0 (input 3), then cost 2 from 0 (inputs 0, 2, 5), then from 2. + EXPECT_EQ(rev, (std::vector{3, 0, 2, 5, 4})); +} + +TEST(Graph, ReverseOrderIsCostThenSource) { + // A scan in id order would give (src, cost, input); the contract is (cost, src, input). + auto g = make_graph(3, {{0, 2, 1, 5}, {1, 2, 1, 1}}); + ASSERT_EQ(g.in_row_offsets()[2], 0); + const EdgeId first = g.in_adj_edge_index()[0]; + EXPECT_EQ(g.input_index()[static_cast(first)], 1); +} + +TEST(Graph, ShapesOfEmptyAndIsolated) { + auto empty = build(0, {}, {}, {}, {}); + EXPECT_EQ(empty.num_nodes(), 0); + EXPECT_EQ(empty.num_edges(), 0); + EXPECT_EQ(std::vector(empty.row_offsets().begin(), empty.row_offsets().end()), + (std::vector{0})); + EXPECT_EQ(std::vector(empty.in_row_offsets().begin(), empty.in_row_offsets().end()), + (std::vector{0})); EXPECT_EQ(empty.max_cost(), 0); EXPECT_EQ(empty.cost_gcd(), 0); - { - std::vector src = {0, 1, 2}, dst = {1, 2, 0}; - std::vector cap = {1.0, 1.0, 1.0}; - std::vector cost = {6, 9, 0}; - auto g = StrictMultiDiGraph::from_arrays(3, src, dst, cap, cost); - EXPECT_EQ(g.max_cost(), 9); - EXPECT_EQ(g.cost_gcd(), 3); - StrictMultiDiGraph copy = g; - EXPECT_EQ(copy.max_cost(), 9); - EXPECT_EQ(copy.cost_gcd(), 3); - StrictMultiDiGraph moved = std::move(copy); - EXPECT_EQ(moved.max_cost(), 9); - EXPECT_EQ(moved.cost_gcd(), 3); + auto isolated = build(4, {}, {}, {}, {}); + EXPECT_EQ(std::vector(isolated.row_offsets().begin(), isolated.row_offsets().end()), + (std::vector{0, 0, 0, 0, 0})); + auto g = make_graph(5, {{3, 1, 1, 6}, {1, 3, 1, 4}, {3, 3, 2, 10}}); + EXPECT_EQ(std::vector(g.row_offsets().begin(), g.row_offsets().end()), + (std::vector{0, 0, 1, 1, 3, 3})); + EXPECT_EQ(std::vector(g.in_row_offsets().begin(), g.in_row_offsets().end()), + (std::vector{0, 0, 1, 1, 3, 3})); + EXPECT_EQ(g.max_cost(), 10); + EXPECT_EQ(g.cost_gcd(), 2); +} + +TEST(Graph, ExactUnitsAboveTwo53) { + const Amount big = (Amount{1} << 53) + 1; + auto g = make_graph(2, {{0, 1, big, 1}}); + EXPECT_EQ(g.capacity_units()[0], big); + EXPECT_EQ(as_float(big, 1.0), 9007199254740992.0); // the documented export limit +} + +TEST(Graph, CopyIsANewGraph) { + auto g = make_graph(3, {{0, 2, 4, 2}, {0, 1, 3, 1}}); + StrictMultiDiGraph c(g); + EXPECT_NE(c.uid(), g.uid()); + EXPECT_EQ(std::vector(c.input_index().begin(), c.input_index().end()), + std::vector(g.input_index().begin(), g.input_index().end())); + EXPECT_EQ(std::vector(c.capacity_units().begin(), c.capacity_units().end()), + std::vector(g.capacity_units().begin(), g.capacity_units().end())); + auto h = make_graph(3, {{0, 2, 4, 2}, {0, 1, 3, 1}}); + EXPECT_NE(h.uid(), g.uid()); + EXPECT_GT(g.uid(), 0u); +} + +TEST(Graph, Resolution) { + for (double q : {std::ldexp(1.0, -32), std::ldexp(1.0, -12), 1.0, std::ldexp(1.0, 32)}) { + auto g = build(2, {0}, {1}, {1}, {1}, q); + EXPECT_EQ(g.resolution(), q); } - { - std::vector src = {0, 1}, dst = {1, 0}; - std::vector cap = {1.0, 1.0}; - std::vector cost = {0, 0}; - auto g = StrictMultiDiGraph::from_arrays(2, src, dst, cap, cost); - EXPECT_EQ(g.max_cost(), 0); - EXPECT_EQ(g.cost_gcd(), 0); + for (double q : {3.0, std::ldexp(1.0, -33), std::ldexp(1.0, 33), 0.0, -1.0, -0.5, + std::numeric_limits::quiet_NaN(), std::numeric_limits::infinity(), 1e308}) { + EXPECT_TRUE(contains(error_of([&] { (void)build(2, {0}, {1}, {1}, {1}, q); }), "resolution")) << q; } - { - std::vector src = {0}, dst = {1}; - std::vector cap = {1.0}; - std::vector cost = {(std::int64_t{1} << 40) + 7}; - auto g = StrictMultiDiGraph::from_arrays(2, src, dst, cap, cost); - EXPECT_EQ(g.max_cost(), (std::int64_t{1} << 40) + 7); - EXPECT_EQ(g.cost_gcd(), (std::int64_t{1} << 40) + 7); +} + +TEST(Graph, EveryValidationError) { + // The unit values. + EXPECT_TRUE(contains(error_of([] { (void)build(2, {0}, {1}, {-1}, {1}); }), "capacity_units")); + EXPECT_TRUE(contains(error_of([] { (void)build(2, {0}, {1}, {L62}, {1}); }), "units domain")); + // The shapes. + EXPECT_TRUE(contains(error_of([] { (void)build(-1, {}, {}, {}, {}); }), "num_nodes")); + EXPECT_TRUE(contains(error_of([] { (void)build(2, {0, 1}, {1}, {1}, {1}); }), "same length")); + EXPECT_TRUE(contains(error_of([] { (void)build(2, {0}, {1}, {1, 2}, {1}); }), "same length")); + EXPECT_TRUE(contains(error_of([] { (void)build(2, {0}, {1}, {1}, {}); }), "same length")); + // Zero and negative costs (rule 28). + EXPECT_TRUE(contains(error_of([] { (void)build(2, {0}, {1}, {1}, {0}); }), "cost")); + EXPECT_TRUE(contains(error_of([] { (void)build(2, {0}, {1}, {1}, {-5}); }), "costs must be positive")); + // The remaining bounds. + EXPECT_TRUE(contains(error_of([] { (void)build(2, {2}, {1}, {1}, {1}); }), "out of node range")); + EXPECT_TRUE(contains(error_of([] { (void)build(2, {0}, {-1}, {1}, {1}); }), "out of node range")); + EXPECT_TRUE(contains(error_of([] { (void)build(2, {0, 0}, {1, 1}, {L62 / 2, L62 / 2}, {1, 1}); }), + "sum of all capacities")); + EXPECT_TRUE(contains(error_of([] { (void)build(2, {0, 0}, {1, 1}, {1, 1}, {L62 / 2, L62 / 2}); }), + "sum of all edge costs")); + // Just below the bounds is accepted. + auto caps = build(2, {0, 0}, {1, 1}, {L62 / 2, L62 / 2 - 1}, {1, 1}); + EXPECT_EQ(caps.capacity_units()[0] + caps.capacity_units()[1], L62 - 1); + auto costs = build(2, {0, 0}, {1, 1}, {1, 1}, {L62 / 2, L62 / 2 - 1}); + EXPECT_EQ(costs.max_cost(), L62 / 2); + auto huge_cost = build(2, {0}, {1}, {1}, {L62 - 1}); + EXPECT_EQ(huge_cost.max_cost(), L62 - 1); + EXPECT_TRUE(contains(error_of([] { (void)build(2, {0}, {1}, {1}, {std::numeric_limits::max()}); }), + "sum of all edge costs")); +} + +TEST(Graph, ValidationOrder) { + // Resolution before the unit values. + EXPECT_TRUE(contains(error_of([] { (void)build(2, {0}, {1}, {-1}, {1}, 3.0); }), "resolution")); + // The unit values before the shapes. + EXPECT_TRUE(contains(error_of([] { (void)build(2, {0, 1}, {1}, {-1}, {1}); }), "capacity_units")); + // The shapes before the costs. + EXPECT_TRUE(contains(error_of([] { (void)build(2, {0, 1}, {1}, {1}, {0}); }), "same length")); + EXPECT_TRUE(contains(error_of([] { (void)build(-1, {0}, {1}, {1}, {0}); }), "num_nodes")); + // The costs before the remaining bounds (endpoints, sums). + EXPECT_TRUE(contains(error_of([] { (void)build(2, {0}, {5}, {1}, {0}); }), "costs must be positive")); + EXPECT_TRUE(contains(error_of([] { (void)build(2, {0, 0}, {1, 1}, {L62 / 2, L62 / 2}, {1, 0}); }), + "costs must be positive")); + // Endpoints before the sums. + EXPECT_TRUE(contains(error_of([] { (void)build(2, {0, 7}, {1, 1}, {L62 / 2, L62 / 2}, {1, 1}); }), + "out of node range")); +} + +TEST(Units, HalfUpBoundaries) { + for (int k : {-12, 0, -32, 32}) { + const double q = std::ldexp(1.0, k); + EXPECT_EQ(to_units(2.5 * q, q), 3) << k; + EXPECT_EQ(to_units(0.5 * q, q), 1) << k; + EXPECT_EQ(to_units(0.49 * q, q), 0) << k; + EXPECT_EQ(to_units(7.5 * q, q), 8) << k; + EXPECT_EQ(to_units(std::nextafter(7.5 * q, 0.0), q), 7) << k; + EXPECT_EQ(to_units(std::nextafter(0.5 * q, 0.0), q), 0) << k; + EXPECT_EQ(to_units(0.0, q), 0) << k; + EXPECT_EQ(to_units(-0.0, q), 0) << k; + EXPECT_EQ(as_float(12345, q), 12345 * q) << k; } + // Physical 1e15 at q = 2^-12 is 4.096e18 units: below 2^62 and exact. + EXPECT_EQ(to_units(1e15, std::ldexp(1.0, -12)), Amount{4096000000000000000}); + // Large integral values: the double is the unit count. + EXPECT_EQ(to_units(9007199254740993.0, 1.0), Amount{9007199254740992}); + EXPECT_EQ(to_units(4503599627370497.5, 1.0), Amount{4503599627370498}); // 2^52 + 1.5 is not a double + EXPECT_EQ(to_units(4503599627370495.5, 1.0), Amount{4503599627370496}); // 2^52 - 0.5 rounds up + EXPECT_EQ(to_units(4611686018427387392.0, 1.0), Amount{4611686018427387392}); // 2^62 - 512 +} + +TEST(Units, RejectedValues) { + const double q = std::ldexp(1.0, -12); + EXPECT_TRUE(contains(error_of([&] { (void)to_units(std::numeric_limits::quiet_NaN(), q); }), "NaN")); + EXPECT_TRUE(contains(error_of([&] { (void)to_units(std::numeric_limits::infinity(), q); }), "finite")); + EXPECT_TRUE(contains(error_of([&] { (void)to_units(-std::numeric_limits::infinity(), q); }), "finite")); + EXPECT_TRUE(contains(error_of([&] { (void)to_units(-1e-300, q); }), "negative")); + EXPECT_TRUE(contains(error_of([&] { (void)to_units(4611686018427387904.0, 1.0); }), "bound")); // 2^62 + EXPECT_TRUE(contains(error_of([&] { (void)to_units(std::numeric_limits::max(), std::ldexp(1.0, 32)); }), + "bound")); + EXPECT_TRUE(contains(error_of([&] { (void)to_units(1e300, std::ldexp(1.0, -32)); }), "bound")); + EXPECT_TRUE(contains(error_of([&] { (void)to_units(1.0, 3.0); }), "resolution")); + EXPECT_TRUE(contains(error_of([&] { (void)as_float(1, 0.0); }), "resolution")); + // Admission at q = 2^-12: [1e15, 1.25e14] fits, [1e15, 1.26e14] exceeds the unit sum. + const std::vector ok = {to_units(1e15, q), to_units(1.25e14, q)}; + auto g = build(2, {0, 0}, {1, 1}, ok, {1, 1}, q); + EXPECT_EQ(g.capacity_units()[0] + g.capacity_units()[1], ok[0] + ok[1]); + const std::vector over = {to_units(1e15, q), to_units(1.26e14, q)}; + EXPECT_TRUE(contains(error_of([&] { (void)build(2, {0, 0}, {1, 1}, over, {1, 1}, q); }), "sum of all capacities")); } diff --git a/tests/cpp/test_utils.hpp b/tests/cpp/test_utils.hpp index f041799..f17a174 100644 --- a/tests/cpp/test_utils.hpp +++ b/tests/cpp/test_utils.hpp @@ -1,479 +1,416 @@ #pragma once #include + +#include +#include +#include +#include +#include +#include #include +#include #include -#include "netgraph/core/strict_multidigraph.hpp" -#include "netgraph/core/shortest_paths.hpp" + #include "netgraph/core/max_flow.hpp" +#include "netgraph/core/strict_multidigraph.hpp" namespace netgraph::core::test { -// Helper to create bool arrays for masks (avoids std::vector issues with .data()) -inline std::unique_ptr make_bool_mask(std::size_t n, bool default_val = true) { - auto mask = std::make_unique(n); - std::fill_n(mask.get(), n, default_val); - return mask; -} - -// Graph builders matching Python fixtures -inline StrictMultiDiGraph make_line_graph(int n) { - // Create a simple line graph 0->1->2->...->n-1 - if (n <= 1) { - return StrictMultiDiGraph::from_arrays(n, {}, {}, {}, {}); +// An edge in input coordinates. +struct InEdge { + NodeId u; + NodeId v; + Amount cap; + Cost cost; +}; + +inline StrictMultiDiGraph make_graph(std::int32_t n, const std::vector& edges, double q = 1.0) { + std::vector src, dst; + std::vector cap; + std::vector cost; + for (const auto& e : edges) { + src.push_back(e.u); + dst.push_back(e.v); + cap.push_back(e.cap); + cost.push_back(e.cost); } - std::vector src, dst; - std::vector cap; - std::vector cost; - for (int i = 0; i < n - 1; ++i) { - src.push_back(i); - dst.push_back(i + 1); - cap.push_back(1.0); - cost.push_back(1); - } - return StrictMultiDiGraph::from_arrays(n, src, dst, cap, cost); + return StrictMultiDiGraph(n, src, dst, cap, cost, q); } -inline StrictMultiDiGraph make_square_graph(int type = 1) { - // Type 1: one shortest route and one longer alternative - // 0->1->2 (cost 2) vs 0->3->2 (cost 4) - if (type == 1) { - std::int32_t src_arr[4] = {0, 1, 0, 3}; - std::int32_t dst_arr[4] = {1, 2, 3, 2}; - double cap_arr[4] = {1.0, 1.0, 2.0, 2.0}; - std::int64_t cost_arr[4] = {1, 1, 2, 2}; - return StrictMultiDiGraph::from_arrays(4, - std::span(src_arr, 4), std::span(dst_arr, 4), - std::span(cap_arr, 4), std::span(cost_arr, 4)); - } - // Type 2: two equal-cost shortest routes - std::int32_t src_arr[4] = {0, 1, 0, 3}; - std::int32_t dst_arr[4] = {1, 2, 3, 2}; - double cap_arr[4] = {1.0, 1.0, 2.0, 2.0}; - std::int64_t cost_arr[4] = {1, 1, 1, 1}; - return StrictMultiDiGraph::from_arrays(4, - std::span(src_arr, 4), std::span(dst_arr, 4), - std::span(cap_arr, 4), std::span(cost_arr, 4)); +// The caller's inverse of input_index(): input position -> EdgeId. +inline std::vector id_of_input(const StrictMultiDiGraph& g) { + auto ii = g.input_index(); + std::vector inv(ii.size()); + for (std::size_t e = 0; e < ii.size(); ++e) inv[static_cast(ii[e])] = static_cast(e); + return inv; } -inline StrictMultiDiGraph make_grid_graph(int rows, int cols) { - // Create a grid graph with edges going right and down - int n = rows * cols; - std::vector src, dst; - std::vector cap; - std::vector cost; - - for (int r = 0; r < rows; ++r) { - for (int c = 0; c < cols; ++c) { - int node = r * cols + c; - // Right edge - if (c < cols - 1) { - src.push_back(node); - dst.push_back(node + 1); - cap.push_back(1.0); - cost.push_back(1); - } - // Down edge - if (r < rows - 1) { - src.push_back(node); - dst.push_back(node + cols); - cap.push_back(1.0); - cost.push_back(1); - } - } - } - return StrictMultiDiGraph::from_arrays(n, src, dst, cap, cost); +// A per-edge array in input order, permuted to id order. +template +std::vector to_ids(const StrictMultiDiGraph& g, const std::vector& by_input) { + auto ii = g.input_index(); + std::vector out(ii.size()); + for (std::size_t e = 0; e < ii.size(); ++e) out[e] = by_input[static_cast(ii[e])]; + return out; } -inline StrictMultiDiGraph make_n_disjoint_paths(int n, double capacity, std::int64_t cost = 1) { - // Create N disjoint equal-cost paths from source to sink - // Topology: 0 → [1..n] → (n+1) - // Each path has 2 hops with specified capacity and cost - int num_nodes = n + 2; // source, n intermediates, sink - std::vector src, dst; - std::vector cap; - std::vector cost_vec; - - for (int i = 0; i < n; ++i) { - // First hop: 0 → (i+1) - src.push_back(0); - dst.push_back(i + 1); - cap.push_back(capacity); - cost_vec.push_back(cost); - - // Second hop: (i+1) → (n+1) - src.push_back(i + 1); - dst.push_back(n + 1); - cap.push_back(capacity); - cost_vec.push_back(cost); - } - - return StrictMultiDiGraph::from_arrays(num_nodes, src, dst, cap, cost_vec); +// A per-edge array in id order, permuted to input order. +template +std::vector to_input(const StrictMultiDiGraph& g, std::span by_id) { + auto ii = g.input_index(); + std::vector out(ii.size()); + for (std::size_t e = 0; e < ii.size(); ++e) out[static_cast(ii[e])] = by_id[e]; + return out; } -inline StrictMultiDiGraph make_tiered_graph(double cap_tier1, double cap_tier2, - std::int64_t cost_tier1 = 1, - std::int64_t cost_tier2 = 2) { - // Create topology with two different-cost paths - // Path 1: 0→1→3 (tier1 cost and capacity) - // Path 2: 0→2→3 (tier2 cost and capacity) - std::int32_t src_arr[4] = {0, 1, 0, 2}; - std::int32_t dst_arr[4] = {1, 3, 2, 3}; - double cap_arr[4] = {cap_tier1, cap_tier1, cap_tier2, cap_tier2}; - std::int64_t cost_arr[4] = {cost_tier1, cost_tier1, cost_tier2, cost_tier2}; +template +std::vector to_input(const StrictMultiDiGraph& g, const std::vector& by_id) { + return to_input(g, std::span(by_id)); +} - return StrictMultiDiGraph::from_arrays(4, - std::span(src_arr, 4), std::span(dst_arr, 4), - std::span(cap_arr, 4), std::span(cost_arr, 4)); +// EdgeIds translated to sorted input positions. +inline std::vector ids_to_input(const StrictMultiDiGraph& g, const std::vector& ids) { + std::vector out; + for (EdgeId e : ids) out.push_back(g.input_index()[static_cast(e)]); + std::sort(out.begin(), out.end()); + return out; } -inline StrictMultiDiGraph make_shared_bottleneck_graph(double path_cap, double bottleneck_cap) { - // Create topology with shared bottleneck - // Two paths: 0→1→3 and 0→2→3, where edge 1→3 is shared - // Path 1: 0→1 (path_cap), 1→3 (bottleneck_cap) - // Path 2: 0→2 (path_cap), 2→3 (path_cap) - // Bottleneck: 1→3 limits total flow - std::int32_t src_arr[4] = {0, 1, 0, 2}; - std::int32_t dst_arr[4] = {1, 3, 2, 3}; - double cap_arr[4] = {path_cap, bottleneck_cap, path_cap, path_cap}; - std::int64_t cost_arr[4] = {1, 1, 1, 1}; +inline std::vector> curve(std::initializer_list> c) { return c; } - return StrictMultiDiGraph::from_arrays(4, - std::span(src_arr, 4), std::span(dst_arr, 4), - std::span(cap_arr, 4), std::span(cost_arr, 4)); +inline FlowCoreResult solve(const StrictMultiDiGraph& g, std::vector s, std::vector d, + std::optional cap, const std::vector* view = nullptr, + const Eligibility* elig = nullptr) { + std::vector full(g.capacity_units().begin(), g.capacity_units().end()); + return place_global_units(g, view ? std::span(*view) : std::span(full), s, d, elig, cap); } -inline StrictMultiDiGraph make_3tier_clos_graph() { - /** - * Build a 3-tier Clos topology matching NetGraph scenario_3.yaml structure. - * - * Structure (replicates scenario_3 from NetGraph integration tests): - * - 2 Clos instances (clos1, clos2) - * - Each Clos has: - * - 2 bricks (b1, b2) - * - Each brick has: - * - 4 T1 nodes (tier1/leaf layer) - * - 4 T2 nodes (tier2/aggregation layer) - * - Mesh: all T1->T2 edges within brick (100 Gbps, cost 1) - * - 16 spine nodes (T3) - * - Connections: Each brick's 4 T2 nodes connect one-to-one to 4 spines (400 Gbps, cost 1) - * - Inter-Clos: 16 spine-to-spine links (400 Gbps, cost 1) - * - * Node numbering: - * - Clos1: - * - b1/t1: nodes 0-3 - * - b1/t2: nodes 4-7 - * - b2/t1: nodes 8-11 - * - b2/t2: nodes 12-15 - * - spine: nodes 16-31 - * - Clos2: - * - b1/t1: nodes 32-35 - * - b1/t2: nodes 36-39 - * - b2/t1: nodes 40-43 - * - b2/t2: nodes 44-47 - * - spine: nodes 48-63 - * - * Total nodes: 64 - * - * Expected max flow from clos1 T1 nodes to clos2 T1 nodes: 3200.0 Gbps - * (8 inter-clos spine links × 400 Gbps = 3200 Gbps bottleneck) - */ +inline bool same_payload(const FlowCoreResult& a, const FlowCoreResult& b) { + const auto& x = a.counters; + const auto& y = b.counters; + return a.placed == b.placed && a.cost_distribution == b.cost_distribution && a.edge_flows == b.edge_flows && + a.min_cut == b.min_cut && a.potentials == b.potentials && x.dijkstra_runs == y.dijkstra_runs && + x.dijkstra_pops == y.dijkstra_pops && x.settled == y.settled && x.arc_scans == y.arc_scans && + x.dinic_phases == y.dinic_phases && x.augmentations == y.augmentations; +} - constexpr int num_nodes = 64; - std::vector src, dst; - std::vector cap; - std::vector cost; +// Value -> minimum cost of every integer flow value, by enumerating every integer flow on the +// eligible edges (small graphs only). Independent of the solver. +inline std::map exhaustive_costs(const StrictMultiDiGraph& g, std::span view, + const std::vector& srcs, const std::vector& dsts, + const Eligibility* elig) { + const auto m = static_cast(g.num_edges()); + const auto n = static_cast(g.num_nodes()); + std::vector free; + for (std::size_t e = 0; e < m; ++e) { + if (elig == nullptr || elig->edge_ok(static_cast(e))) free.push_back(e); + } + std::set S, D; + for (NodeId s : srcs) if (elig == nullptr || elig->node_ok(s)) S.insert(s); + for (NodeId d : dsts) if (elig == nullptr || elig->node_ok(d)) D.insert(d); + std::map best; + std::vector f(free.size(), 0); + while (true) { + std::vector bal(n, 0); + __int128 cost = 0; + for (std::size_t k = 0; k < free.size(); ++k) { + const auto e = free[k]; + bal[static_cast(g.edge_src()[e])] -= f[k]; + bal[static_cast(g.edge_dst()[e])] += f[k]; + cost += static_cast<__int128>(g.cost()[e]) * f[k]; + } + bool ok = true; + Amount value = 0; + for (std::size_t v = 0; v < n && ok; ++v) { + const auto node = static_cast(v); + if (S.count(node)) { ok = bal[v] <= 0; value -= bal[v]; } + else if (D.count(node)) ok = bal[v] >= 0; + else ok = bal[v] == 0; + } + if (ok) { + auto it = best.find(value); + if (it == best.end() || cost < it->second) best[value] = cost; + } + std::size_t k = 0; + while (k < free.size() && f[k] == view[free[k]]) f[k++] = 0; + if (k == free.size()) break; + ++f[k]; + } + return best; +} - // Helper to add mesh connections between two groups - auto add_mesh = [&](int group1_start, int group1_count, int group2_start, int group2_count, double capacity) { - for (int i = 0; i < group1_count; ++i) { - for (int j = 0; j < group2_count; ++j) { - src.push_back(group1_start + i); - dst.push_back(group2_start + j); - cap.push_back(capacity); - cost.push_back(1); +// Breakpoints [(value, cost)] of the min-cost curve by successive shortest paths with +// Bellman-Ford on the residual (no potentials, no Dinic, its own arc order); run to +// disconnection. Independent of the solver. +inline std::vector> independent_curve(const StrictMultiDiGraph& g, + std::span view, + const std::vector& srcs, + const std::vector& dsts, + const Eligibility* elig) { + struct Arc { int u, v; Amount cap; Cost w; Amount flow; }; + const int n = g.num_nodes(); + const int S = n, T = n + 1; + std::vector arcs; + for (std::size_t e = 0; e < static_cast(g.num_edges()); ++e) { + if (elig != nullptr && !elig->edge_ok(static_cast(e))) continue; + arcs.push_back({g.edge_src()[e], g.edge_dst()[e], view[e], g.cost()[e], 0}); + } + for (NodeId s : srcs) if (elig == nullptr || elig->node_ok(s)) arcs.push_back({S, s, kMaxFlowCap, 0, 0}); + for (NodeId d : dsts) if (elig == nullptr || elig->node_ok(d)) arcs.push_back({d, T, kMaxFlowCap, 0, 0}); + std::vector> pts{{0, 0}}; + while (true) { + const __int128 inf = std::numeric_limits<__int128>::max(); + std::vector<__int128> dist(static_cast(n + 2), inf); + std::vector> parent(static_cast(n + 2), {-1, 0}); + dist[static_cast(S)] = 0; + for (int it = 0; it < n + 2; ++it) { + bool changed = false; + for (int i = 0; i < static_cast(arcs.size()); ++i) { + const auto& a = arcs[static_cast(i)]; + const auto du = dist[static_cast(a.u)]; + const auto dv = dist[static_cast(a.v)]; + if (a.flow < a.cap && du != inf && du + a.w < dv) { + dist[static_cast(a.v)] = du + a.w; + parent[static_cast(a.v)] = {i, 1}; + changed = true; + } + if (a.flow > 0 && dist[static_cast(a.v)] != inf && + dist[static_cast(a.v)] - a.w < dist[static_cast(a.u)]) { + dist[static_cast(a.u)] = dist[static_cast(a.v)] - a.w; + parent[static_cast(a.u)] = {i, -1}; + changed = true; + } } + if (!changed) break; } - }; - - // Helper to add one-to-one connections - auto add_one_to_one = [&](int group1_start, int group1_count, int group2_start, double capacity) { - for (int i = 0; i < group1_count; ++i) { - src.push_back(group1_start + i); - dst.push_back(group2_start + i); - cap.push_back(capacity); - cost.push_back(1); + if (dist[static_cast(T)] == inf) return pts; + std::vector> path; + for (int v = T; v != S;) { + auto [i, sign] = parent[static_cast(v)]; + path.emplace_back(i, sign); + const auto& a = arcs[static_cast(i)]; + v = sign == 1 ? a.u : a.v; } - }; - - // Clos1 brick1: T1 (0-3) mesh to T2 (4-7) - add_mesh(0, 4, 4, 4, 100.0); - - // Clos1 brick2: T1 (8-11) mesh to T2 (12-15) - add_mesh(8, 4, 12, 4, 100.0); - - // Clos1 b1/T2 (4-7) one-to-one to spine (16-19) - add_one_to_one(4, 4, 16, 400.0); - - // Clos1 b2/T2 (12-15) one-to-one to spine (20-23) - add_one_to_one(12, 4, 20, 400.0); - - // Inter-Clos: Clos1 spine (16-31) one-to-one to Clos2 spine (48-63) - add_one_to_one(16, 16, 48, 400.0); - - // Clos2 spine (48-63) to b1/T2 (36-39) - only first 4 spines connect - add_one_to_one(48, 4, 36, 400.0); - - // Clos2 spine (52-55) to b2/T2 (44-47) - add_one_to_one(52, 4, 44, 400.0); - - // Clos2 brick1: T2 (36-39) mesh to T1 (32-35) - add_mesh(36, 4, 32, 4, 100.0); - - // Clos2 brick2: T2 (44-47) mesh to T1 (40-43) - add_mesh(44, 4, 40, 4, 100.0); - - return StrictMultiDiGraph::from_arrays(num_nodes, src, dst, cap, cost); + Amount amount = std::numeric_limits::max(); + for (auto [i, sign] : path) { + const auto& a = arcs[static_cast(i)]; + amount = std::min(amount, sign == 1 ? a.cap - a.flow : a.flow); + } + for (auto [i, sign] : path) arcs[static_cast(i)].flow += sign * amount; + pts.emplace_back(pts.back().first + amount, pts.back().second + dist[static_cast(T)] * amount); + } } -inline StrictMultiDiGraph make_triangle_topology() { - /** - * Triangle topology from NetGraph solver tests. - * Used in test_maxflow_api.py::_triangle_network() - * - * Topology: - * A(0) -> B(1) (cap 2) - * B(1) -> C(2) (cap 1) - * A(0) -> C(2) (cap 1) - * - * Expected max flow A->C: 2.0 (1 direct + 1 via B) - */ - std::int32_t src_arr[3] = {0, 1, 0}; - std::int32_t dst_arr[3] = {1, 2, 2}; - double cap_arr[3] = {2.0, 1.0, 1.0}; - std::int64_t cost_arr[3] = {1, 1, 1}; - - return StrictMultiDiGraph::from_arrays(3, - std::span(src_arr, 3), std::span(dst_arr, 3), - std::span(cap_arr, 3), std::span(cost_arr, 3)); +// Cost of a piecewise-linear curve at an integer value inside its domain. Every segment of both +// curves has an integer slope (the cost per unit of one tier or one augmenting path), so the +// value is exact in 128 bits: costs stay below 2^62 per unit and amounts below 2^62. +inline __int128 curve_at(const std::vector>& pts, Amount x) { + for (std::size_t i = 1; i < pts.size(); ++i) { + const auto [a, ca] = pts[i - 1]; + const auto [b, cb] = pts[i]; + if (a <= x && x <= b) { + const __int128 slope = (cb - ca) / (b - a); + return ca + slope * (x - a); + } + } + return pts.back().second; } -inline StrictMultiDiGraph make_simple_parallel_paths_topology() { - /** - * Simple network with two disjoint parallel paths. - * From NetGraph solver tests: test_maxflow_api.py::_simple_network() - * - * Topology: - * S(0) -> A(1) (cap 1) -> T(3) (cap 1) - * S(0) -> B(2) (cap 1) -> T(3) (cap 1) - * - * Expected max flow S->T: 2.0 - */ - std::int32_t src_arr[4] = {0, 1, 0, 2}; - std::int32_t dst_arr[4] = {1, 3, 2, 3}; - double cap_arr[4] = {1.0, 1.0, 1.0, 1.0}; - std::int64_t cost_arr[4] = {1, 1, 1, 1}; - - return StrictMultiDiGraph::from_arrays(4, - std::span(src_arr, 4), std::span(dst_arr, 4), - std::span(cap_arr, 4), std::span(cost_arr, 4)); +inline std::vector> payload_points(const FlowCoreResult& r) { + std::vector> pts{{0, 0}}; + for (const auto& [c, u] : r.cost_distribution) { + pts.emplace_back(pts.back().first + u, pts.back().second + static_cast<__int128>(c) * u); + } + return pts; } -// Assertion helpers -inline void expect_csr_valid(const StrictMultiDiGraph& g) { - auto row = g.row_offsets_view(); - auto col = g.col_indices_view(); - auto aei = g.adj_edge_index_view(); - auto edge_src = g.edge_src_view(); - auto edge_dst = g.edge_dst_view(); - const auto M = static_cast(g.num_edges()); - const auto N = static_cast(g.num_nodes()); - - // --- Forward CSR structural checks --- - - // Offsets should be monotonic - EXPECT_EQ(row.size(), N + 1); - for (std::size_t i = 0; i < row.size() - 1; ++i) { - EXPECT_LE(row[i], row[i + 1]) << "Row offsets not monotonic at " << i; +// The certificate of APPROACH 2.2 in two ordered branches. Returns the failed clauses. With +// `tier_a`, the complete curve is compared with the exhaustive optimum of every value; else with +// the independent Bellman-Ford curve at the union of both breakpoint sets. +inline std::vector certify(const StrictMultiDiGraph& g, std::span view, + std::vector srcs, std::vector dsts, + std::optional cap, const Eligibility* elig, + const FlowCoreResult& r, bool tier_a) { + std::vector fails; + const auto m = static_cast(g.num_edges()); + const auto n = static_cast(g.num_nodes()); + std::sort(srcs.begin(), srcs.end()); + srcs.erase(std::unique(srcs.begin(), srcs.end()), srcs.end()); + std::sort(dsts.begin(), dsts.end()); + dsts.erase(std::unique(dsts.begin(), dsts.end()), dsts.end()); + auto edge_ok = [&](std::size_t e) { return elig == nullptr || elig->edge_ok(static_cast(e)); }; + auto node_ok = [&](NodeId v) { return elig == nullptr || elig->node_ok(v); }; + if (r.edge_flows.size() != m || r.potentials.size() != n) { + fails.push_back("shape"); + return fails; } - - // Total edges match - EXPECT_EQ(static_cast(row[row.size() - 1]), M); - EXPECT_EQ(col.size(), M); - EXPECT_EQ(aei.size(), M); - - // All column indices and edge indices in range - for (std::size_t i = 0; i < col.size(); ++i) { - EXPECT_GE(col[i], 0) << "Invalid column index at " << i; - EXPECT_LT(col[i], g.num_nodes()) << "Column index out of range at " << i; - EXPECT_GE(aei[i], 0) << "Invalid edge index at " << i; - EXPECT_LT(aei[i], g.num_edges()) << "Edge index out of range at " << i; + if (cap.has_value() && *cap == 0) { + const auto& c = r.counters; + if (r.placed != 0 || !r.cost_distribution.empty() || r.min_cut.has_value() || + std::any_of(r.edge_flows.begin(), r.edge_flows.end(), [](Amount x) { return x != 0; }) || + std::any_of(r.potentials.begin(), r.potentials.end(), [](Cost p) { return p != kNeverReached; }) || + c.dijkstra_runs || c.dijkstra_pops || c.settled || c.arc_scans || c.dinic_phases || c.augmentations) { + fails.push_back("zero cap: the prescribed zero payload"); + } + return fails; } - - // --- Forward CSR semantic checks --- - - // Bijection: every edge appears exactly once in the CSR - std::vector edge_count(M, 0); - for (std::size_t u = 0; u < N; ++u) { - auto s = static_cast(row[u]); - auto e = static_cast(row[u + 1]); - for (std::size_t j = s; j < e; ++j) { - auto eid = static_cast(aei[j]); - ASSERT_LT(eid, M) << "Edge index out of range at CSR pos " << j; - edge_count[eid]++; - - // Source consistency: edge must originate from node u - EXPECT_EQ(static_cast(edge_src[eid]), u) - << "Forward CSR: edge " << eid << " in node " << u - << "'s adjacency has src=" << edge_src[eid]; - - // Destination consistency: col_indices must match edge destination - EXPECT_EQ(col[j], edge_dst[eid]) - << "Forward CSR: col_indices[" << j << "]=" << col[j] - << " doesn't match edge_dst[" << eid << "]=" << edge_dst[eid]; + std::vector<__int128> bal(n, 0); + __int128 moment = 0; + for (std::size_t e = 0; e < m; ++e) { + const Amount f = r.edge_flows[e]; + if (f < 0 || f > view[e]) fails.push_back("feasibility at edge " + std::to_string(e)); + if (!edge_ok(e) && f != 0) fails.push_back("flow on an ineligible edge " + std::to_string(e)); + bal[static_cast(g.edge_src()[e])] -= f; + bal[static_cast(g.edge_dst()[e])] += f; + moment += static_cast<__int128>(g.cost()[e]) * f; + } + std::set S(srcs.begin(), srcs.end()), D(dsts.begin(), dsts.end()); + __int128 supply = 0, inflow = 0; + std::vector<__int128> sup(n, 0), inf_d(n, 0); + for (std::size_t v = 0; v < n; ++v) { + const auto node = static_cast(v); + if (S.count(node)) { + if (bal[v] > 0) fails.push_back("source absorbs flow"); + if (!node_ok(node) && bal[v] != 0) fails.push_back("excluded source supplies"); + sup[v] = -bal[v]; + supply += -bal[v]; + } else if (D.count(node)) { + if (bal[v] < 0) fails.push_back("destination emits flow"); + if (!node_ok(node) && bal[v] != 0) fails.push_back("excluded destination receives"); + inf_d[v] = bal[v]; + inflow += bal[v]; + } else if (bal[v] != 0) { + fails.push_back("conservation at node " + std::to_string(v)); } } - for (std::size_t eid = 0; eid < M; ++eid) { - EXPECT_EQ(edge_count[eid], 1) - << "Edge " << eid << " appears " << edge_count[eid] - << " times in forward CSR (expected exactly 1)"; + if (supply != r.placed || inflow != r.placed) fails.push_back("value differs from supply or inflow"); + if (r.placed < 0 || (cap.has_value() && r.placed > *cap)) fails.push_back("placed outside [0, cap]"); + // Full residual closure seeded at the allowed real sources. + const std::size_t s_star = n, t_star = n + 1; + std::vector>> out(n + 2); + for (std::size_t e = 0; e < m; ++e) { + if (!edge_ok(e)) continue; + const auto u = static_cast(g.edge_src()[e]); + const auto v = static_cast(g.edge_dst()[e]); + if (r.edge_flows[e] < view[e]) out[u].emplace_back(v, g.cost()[e]); + if (r.edge_flows[e] > 0) out[v].emplace_back(u, -g.cost()[e]); } - - // --- Reverse CSR checks --- - auto in_row = g.in_row_offsets_view(); - auto in_col = g.in_col_indices_view(); - auto in_aei = g.in_adj_edge_index_view(); - - EXPECT_EQ(in_row.size(), N + 1); - for (std::size_t i = 0; i < in_row.size() - 1; ++i) { - EXPECT_LE(in_row[i], in_row[i + 1]) << "Reverse row offsets not monotonic at " << i; + for (NodeId s : srcs) { + if (!node_ok(s)) continue; + out[s_star].emplace_back(static_cast(s), 0); + if (sup[static_cast(s)] > 0) out[static_cast(s)].emplace_back(s_star, 0); } - EXPECT_EQ(static_cast(in_row[in_row.size() - 1]), M); - EXPECT_EQ(in_col.size(), M); - EXPECT_EQ(in_aei.size(), M); - - // Bijection and consistency for reverse CSR - std::vector rev_edge_count(M, 0); - for (std::size_t v = 0; v < N; ++v) { - auto s = static_cast(in_row[v]); - auto e = static_cast(in_row[v + 1]); - for (std::size_t j = s; j < e; ++j) { - auto eid = static_cast(in_aei[j]); - ASSERT_LT(eid, M) << "Reverse edge index out of range at CSR pos " << j; - rev_edge_count[eid]++; - - // Destination consistency: edge must point to node v - EXPECT_EQ(static_cast(edge_dst[eid]), v) - << "Reverse CSR: edge " << eid << " in node " << v - << "'s incoming list has dst=" << edge_dst[eid]; - - // Source consistency: in_col_indices must match edge source - EXPECT_EQ(in_col[j], edge_src[eid]) - << "Reverse CSR: in_col_indices[" << j << "]=" << in_col[j] - << " doesn't match edge_src[" << eid << "]=" << edge_src[eid]; + for (NodeId d : dsts) { + if (!node_ok(d)) continue; + out[static_cast(d)].emplace_back(t_star, 0); + if (inf_d[static_cast(d)] > 0) out[t_star].emplace_back(static_cast(d), 0); + } + std::vector seen(n + 2, 0); + std::vector queue; + for (NodeId s : srcs) { + if (node_ok(s)) { seen[static_cast(s)] = 1; queue.push_back(static_cast(s)); } + } + for (std::size_t qi = 0; qi < queue.size(); ++qi) { + for (auto [v, w] : out[queue[qi]]) { + (void)w; + if (!seen[v]) { seen[v] = 1; queue.push_back(v); } } } - for (std::size_t eid = 0; eid < M; ++eid) { - EXPECT_EQ(rev_edge_count[eid], 1) - << "Edge " << eid << " appears " << rev_edge_count[eid] - << " times in reverse CSR (expected exactly 1)"; + const bool connected = seen[t_star] != 0; + if (!cap.has_value() && connected) fails.push_back("uncapped solve left the destinations connected"); + if (cap.has_value() && r.placed != *cap && connected) fails.push_back("attained value: early stop"); + if (connected) { + if (r.min_cut.has_value()) fails.push_back("min_cut present on a connected solve"); + } else { + std::vector expect; + __int128 cut_value = 0; + for (std::size_t e = 0; e < m; ++e) { + if (!edge_ok(e)) continue; + if (seen[static_cast(g.edge_src()[e])] && !seen[static_cast(g.edge_dst()[e])] && + view[e] > 0) { + expect.push_back(static_cast(e)); + cut_value += view[e]; + } + } + if (!r.min_cut.has_value()) fails.push_back("min_cut missing on a maximal solve"); + else if (*r.min_cut != expect) fails.push_back("min_cut differs from the closure cut"); + if (cut_value != r.placed) fails.push_back("cut value differs from placed"); } -} - -inline void expect_pred_dag_valid(const PredDAG& dag, int num_nodes) { - EXPECT_EQ(dag.parent_offsets.size(), static_cast(num_nodes + 1)); - - // Offsets monotonic - for (std::size_t i = 0; i < dag.parent_offsets.size() - 1; ++i) { - EXPECT_LE(dag.parent_offsets[i], dag.parent_offsets[i + 1]); + for (std::size_t v = 0; v < n; ++v) { + if (r.potentials[v] < kNeverReached) fails.push_back("potential below the sentinel"); + if (seen[v] && r.potentials[v] == kNeverReached) fails.push_back("closure vertex holds NEVER_REACHED"); } - - auto total = static_cast(dag.parent_offsets.back()); - EXPECT_EQ(dag.parents.size(), total); - EXPECT_EQ(dag.via_edges.size(), total); - - // Node IDs in range - for (auto p : dag.parents) { - EXPECT_GE(p, 0); - EXPECT_LT(p, num_nodes); + for (NodeId s : srcs) { + const auto p = r.potentials[static_cast(s)]; + if (node_ok(s) && p != 0) fails.push_back("allowed root with potential other than 0"); } -} - -// Extended PredDAG validation that also checks semantic correctness against a graph. -// Verifies that each entry refers to an actual edge from parent to node, and that -// distances are consistent (dist[v] == dist[parent] + edge_cost). -inline void expect_pred_dag_semantically_valid(const StrictMultiDiGraph& g, - const PredDAG& dag, - const std::vector& dist) { - const auto N = g.num_nodes(); - const auto edge_src = g.edge_src_view(); - const auto edge_dst = g.edge_dst_view(); - const auto edge_cost = g.cost_view(); - - expect_pred_dag_valid(dag, N); - - for (std::int32_t v = 0; v < N; ++v) { - auto s = static_cast(dag.parent_offsets[static_cast(v)]); - auto e = static_cast(dag.parent_offsets[static_cast(v) + 1]); - for (std::size_t i = s; i < e; ++i) { - auto parent = dag.parents[i]; - auto eid = static_cast(dag.via_edges[i]); - ASSERT_LT(eid, static_cast(g.num_edges())); - // Edge must go from parent -> v - EXPECT_EQ(edge_src[eid], parent) - << "Node " << v << ": via_edge " << eid << " src mismatch"; - EXPECT_EQ(edge_dst[eid], v) - << "Node " << v << ": via_edge " << eid << " dst mismatch"; - // Distance consistency - auto d_v = dist[static_cast(v)]; - auto d_p = dist[static_cast(parent)]; - if (d_v < std::numeric_limits::max() && d_p < std::numeric_limits::max()) { - EXPECT_EQ(d_v, d_p + edge_cost[eid]) - << "Distance inconsistency at node " << v; + for (std::size_t u = 0; u < n; ++u) { + if (!seen[u] || r.potentials[u] == kNeverReached) continue; + for (auto [v, w] : out[u]) { + if (v >= n || !seen[v] || r.potentials[v] == kNeverReached) continue; + if (static_cast<__int128>(w) + r.potentials[u] - r.potentials[v] < 0) { + fails.push_back("negative reduced cost inside the closure"); } } } -} - -// FlowSummary validation helpers -inline void validate_capacity_constraints(const StrictMultiDiGraph& g, const FlowSummary& summary) { - ASSERT_EQ(summary.edge_flows.size(), static_cast(g.num_edges())) - << "Edge flow vector size mismatch"; - - auto caps = g.capacity_view(); - for (std::size_t i = 0; i < summary.edge_flows.size(); ++i) { - EXPECT_GE(summary.edge_flows[i], 0.0) - << "Edge " << i << " has negative flow: " << summary.edge_flows[i]; - EXPECT_LE(summary.edge_flows[i], caps[i] + 1e-9) - << "Edge " << i << " exceeds capacity: flow=" << summary.edge_flows[i] - << " cap=" << caps[i]; + std::optional pt; + for (NodeId d : dsts) { + const auto p = r.potentials[static_cast(d)]; + if (p != kNeverReached) pt = pt ? std::min(*pt, p) : p; } -} - -inline void validate_flow_conservation(const StrictMultiDiGraph& g, const FlowSummary& summary, - NodeId src, NodeId dst) { - auto row = g.row_offsets_view(); - auto aei = g.adj_edge_index_view(); - auto in_row = g.in_row_offsets_view(); - auto in_aei = g.in_adj_edge_index_view(); - - for (std::int32_t u = 0; u < g.num_nodes(); ++u) { - if (u == src || u == dst) continue; // Skip source and sink - - double outflow = 0.0; - for (std::size_t j = row[u]; j < row[u + 1]; ++j) { - outflow += summary.edge_flows[aei[j]]; + if (pt) { + for (NodeId d : dsts) { + const auto p = r.potentials[static_cast(d)]; + if (p == kNeverReached) continue; + if (inf_d[static_cast(d)] > 0 && p != *pt) fails.push_back("inflow destination potential differs from pi(t*)"); } - - double inflow = 0.0; - for (std::size_t j = in_row[u]; j < in_row[u + 1]; ++j) { - inflow += summary.edge_flows[in_aei[j]]; + if (!r.cost_distribution.empty() && r.cost_distribution.back().first != *pt) { + fails.push_back("pi(t*) differs from the last curve cost"); + } + } else if (r.placed != 0) { + fails.push_back("flow delivered but no destination reached"); + } + __int128 total = 0, curve_moment = 0; + for (std::size_t i = 0; i < r.cost_distribution.size(); ++i) { + const auto [c, u] = r.cost_distribution[i]; + if (u <= 0) fails.push_back("curve volume not positive"); + if (i > 0 && c <= r.cost_distribution[i - 1].first) fails.push_back("curve costs not strictly increasing"); + total += u; + curve_moment += static_cast<__int128>(c) * u; + } + if (total != r.placed) fails.push_back("curve total differs from placed"); + if (curve_moment != moment) fails.push_back("curve moment differs from the flow cost"); + const auto pts = payload_points(r); + if (tier_a) { + const auto best = exhaustive_costs(g, view, srcs, dsts, elig); + const Amount fmax = best.rbegin()->first; + const Amount top = cap.has_value() ? std::min(*cap, fmax) : fmax; + if (r.placed != top) fails.push_back("placed differs from min(cap, F_max)"); + for (Amount x = 0; x <= std::min(top, r.placed); ++x) { + auto it = best.find(x); + if (it == best.end() || curve_at(pts, x) != it->second) { + fails.push_back("curve differs from the exhaustive optimum at " + std::to_string(x)); + break; + } + } + } else { + const auto ref = independent_curve(g, view, srcs, dsts, elig); + const Amount fmax = ref.back().first; + const Amount top = cap.has_value() ? std::min(*cap, fmax) : fmax; + if (r.placed != top) fails.push_back("placed differs from min(cap, F_max)"); + std::set xs; + for (auto [x, c] : pts) { (void)c; xs.insert(x); } + for (auto [x, c] : ref) { (void)c; xs.insert(x); } + for (Amount x : xs) { + if (x > std::min(top, r.placed)) continue; + if (curve_at(pts, x) != curve_at(ref, x)) { + fails.push_back("curve differs from the independent solver at " + std::to_string(x)); + break; + } } - - EXPECT_NEAR(inflow, outflow, 1e-9) - << "Flow not conserved at node " << u - << ": inflow=" << inflow << " outflow=" << outflow; } + return fails; } } // namespace netgraph::core::test diff --git a/tests/py/conftest.py b/tests/py/conftest.py deleted file mode 100644 index 17422e5..0000000 --- a/tests/py/conftest.py +++ /dev/null @@ -1,956 +0,0 @@ -"""Shared pytest fixtures for the test suite. - -Provides small, reusable builders to reduce repetition across tests. - -Fixtures (logical order): -- build_graph: generic builder from edge tuples. -- line1_graph: 3-node line with tiered B->C parallels. -- square1_graph: shortest vs longer alternative path. -- square2_graph: two equal-cost shortest paths. -- two_disjoint_shortest_graph: two disjoint equal-cost routes with bottlenecks. -- graph3: mixed 6-node topology with parallels and a longer route. -- square4_graph: 4-node square with mixed tiers. -- fully_connected_graph: factory for K_n directed (no self-loops). -""" - -from __future__ import annotations - -import numpy as np -import pytest - -import netgraph_core as ngc - -# Global Algorithms fixture (CPU backend) and helper to build graph handles - - -@pytest.fixture -def algs(): - be = ngc.Backend.cpu() - return ngc.Algorithms(be) - - -@pytest.fixture -def to_handle(algs): - def _h(g: ngc.StrictMultiDiGraph): - return algs.build_graph(g) - - return _h - - -# Centralized helper fixtures and shared assertions for tests - - -@pytest.fixture -def t_cost(): - """Return a function to extract distance to a target node as float.""" - - def _t_cost(dist: np.ndarray, node: int) -> float: - return float(dist[int(node)]) - - return _t_cost - - -@pytest.fixture -def flows_by_eid(): - """Return a function mapping EdgeId -> edge flow value for a graph.""" - - def _flows_by_eid( - g: ngc.StrictMultiDiGraph, edge_flows: np.ndarray - ) -> dict[int, float]: - arr = np.asarray(edge_flows, dtype=float) - return {int(eid): float(arr[eid]) for eid in range(g.num_edges())} - - return _flows_by_eid - - -@pytest.fixture -def cost_dist_dict(): - """Return a function converting FlowSummary (costs, flows) to a dict.""" - - def _to_dict(summary) -> dict[float, float]: - costs = np.asarray(getattr(summary, "costs", []), dtype=float) - flows = np.asarray(getattr(summary, "flows", []), dtype=float) - return {float(c): float(f) for c, f in zip(costs, flows, strict=False)} - - return _to_dict - - -@pytest.fixture -def assert_pred_dag_integrity(): - """Return an assertion helper to validate PredDAG shapes, id ranges, and semantics. - - Checks structural validity (sizes, ranges, monotonicity) AND semantic - correctness: each parent entry must correspond to an actual edge in the - graph from the claimed parent to the node, and if distances are provided, - the distance must be consistent (dist[v] == dist[parent] + edge_cost). - """ - - def _assert( - g: ngc.StrictMultiDiGraph, - dag: ngc.PredDAG, - dist: np.ndarray | None = None, - ) -> None: - off = np.asarray(dag.parent_offsets) - par = np.asarray(dag.parents) - via = np.asarray(dag.via_edges) - # Offsets length and monotonicity - assert off.shape == (g.num_nodes() + 1,) - assert np.all(off[:-1] <= off[1:]) - total = int(off[-1]) - # Parents/via sizes match total entries - assert par.shape == (total,) - assert via.shape == (total,) - if total > 0: - # Id ranges - assert int(par.min()) >= 0 and int(par.max()) < g.num_nodes() - assert int(via.min()) >= 0 and int(via.max()) < g.num_edges() - - # Semantic validation: each entry must reference an actual graph edge - edge_src = np.asarray(g.edge_src_view()) - edge_dst = np.asarray(g.edge_dst_view()) - edge_cost = np.asarray(g.cost_view()) - for v in range(g.num_nodes()): - s, e = int(off[v]), int(off[v + 1]) - for i in range(s, e): - parent = int(par[i]) - eid = int(via[i]) - # The via_edge must go from parent -> v - assert int(edge_src[eid]) == parent, ( - f"PredDAG entry for node {v}: via_edge {eid} has src=" - f"{int(edge_src[eid])}, expected parent={parent}" - ) - assert int(edge_dst[eid]) == v, ( - f"PredDAG entry for node {v}: via_edge {eid} has dst=" - f"{int(edge_dst[eid])}, expected node={v}" - ) - # Distance consistency (if distances provided) - if dist is not None: - d_v = float(dist[v]) - d_p = float(dist[parent]) - ec = float(edge_cost[eid]) - if d_v < 1e18 and d_p < 1e18: # skip unreachable - assert abs(d_v - (d_p + ec)) < 1e-9, ( - f"PredDAG distance inconsistency at node {v}: " - f"dist[{v}]={d_v} != dist[{parent}]={d_p} + " - f"cost({eid})={ec} = {d_p + ec}" - ) - - return _assert - - -@pytest.fixture -def assert_edge_flows_shape(): - """Return an assertion helper to validate edge_flows presence/shape. - - expected_present=True means summary.edge_flows must exist and be length N. - If False, allow either empty list or omitted; if present, allow 0 or N. - """ - - def _assert( - g: ngc.StrictMultiDiGraph, summary, expected_present: bool = True - ) -> None: - edge_flows = getattr(summary, "edge_flows", None) - if expected_present: - assert edge_flows is not None - arr = np.asarray(edge_flows) - assert arr.shape == (g.num_edges(),) - else: - if edge_flows is not None: - arr = np.asarray(edge_flows) - assert arr.size in (0, g.num_edges()) - - return _assert - - -@pytest.fixture -def assert_valid_min_cut(): - """Return an assertion helper to validate a MinCut. - - Always checks that edge ids are unique and in range. Note that an empty cut - satisfies those two checks vacuously, so pass ``total_flow`` whenever the call - site computed a true maximum flow: that enables the max-flow/min-cut duality - check (``total_flow == sum(capacity[cut])``), which is what actually pins the - result down. - - Duality only holds for a genuine maximum flow. Do NOT pass ``total_flow`` for - ``EQUAL_BALANCED`` placement (an ECMP admission model that deliberately places - less than the maximum) or for ``shortest_path=True`` (a single augmentation). - """ - - def _assert( - g: ngc.StrictMultiDiGraph, min_cut, total_flow: float | None = None - ) -> None: - edges = [int(e) for e in getattr(min_cut, "edges", [])] - assert len(edges) == len(set(edges)), "min-cut has duplicate edge ids" - for e in edges: - assert 0 <= e < g.num_edges() - - if total_flow is None: - return - - cap = np.asarray(g.capacity_view(), dtype=float) - cut_cap = float(cap[edges].sum()) if edges else 0.0 - assert cut_cap == pytest.approx(total_flow), ( - f"max-flow/min-cut duality violated: flow={total_flow} " - f"but cut capacity={cut_cap} (cut={edges})" - ) - if total_flow > 0: - assert edges, "positive flow reported with an empty min-cut" - - return _assert - - -@pytest.fixture -def certify_max_flow(): - """Return a helper that *proves* a max-flow result correct without an oracle. - - Checks four properties. Together they are a certificate of optimality: by weak - duality any feasible flow is bounded by any s-t cut, so a feasible flow whose - value equals the capacity of a genuine cut is necessarily maximum. - - 1. feasibility -- ``0 <= flow(e) <= capacity(e)``, and masked-out edges idle - 2. conservation -- inflow == outflow at interior nodes; net at sink == total - 3. genuine cut -- deleting the reported cut edges disconnects src from dst - 4. tightness -- ``total == sum(capacity[cut])`` - - Pass ``maximal=False`` for configurations that deliberately place less than the - maximum (``EQUAL_BALANCED`` placement, ``shortest_path=True``); only checks 1-2 - apply there, and they still hold. - - Requires ``with_edge_flows=True`` on the ``max_flow`` call. - """ - - def _certify( - g: ngc.StrictMultiDiGraph, - summary, - total: float, - src: int, - dst: int, - *, - maximal: bool = True, - node_mask=None, - edge_mask=None, - tol: float = 1e-6, - ) -> None: - flow = np.asarray(summary.edge_flows, dtype=float) - assert flow.size == g.num_edges(), ( - "certify_max_flow needs edge flows; pass with_edge_flows=True" - ) - cap = np.asarray(g.capacity_view(), dtype=float) - e_src = np.asarray(g.edge_src_view()) - e_dst = np.asarray(g.edge_dst_view()) - n = g.num_nodes() - - # 1. feasibility - assert np.all(flow >= -tol), "negative flow on some edge" - assert np.all(flow <= cap + tol), "flow exceeds capacity on some edge" - - usable = np.ones(g.num_edges(), dtype=bool) - if edge_mask is not None: - usable &= np.asarray(edge_mask, dtype=bool) - if node_mask is not None: - nm = np.asarray(node_mask, dtype=bool) - usable &= nm[e_src] & nm[e_dst] - assert np.all(np.abs(flow[~usable]) <= tol), "flow placed on a masked-out edge" - - # 2. conservation - net = np.zeros(n) - np.add.at(net, e_src, -flow) - np.add.at(net, e_dst, flow) - interior = [v for v in range(n) if v != src and v != dst] - if interior: - worst = float(np.max(np.abs(net[interior]))) - assert worst <= tol, f"flow not conserved at an interior node (net={worst})" - assert net[dst] == pytest.approx(total, abs=tol), ( - f"net inflow at sink ({net[dst]}) != reported total ({total})" - ) - - if not maximal: - return - - # 3. the reported cut must actually separate src from dst - cut = {int(e) for e in np.asarray(summary.min_cut.edges)} - adj: list[list[int]] = [[] for _ in range(n)] - for e in range(g.num_edges()): - if e in cut or not usable[e] or cap[e] <= 0: - continue - adj[int(e_src[e])].append(int(e_dst[e])) - seen = {int(src)} - stack = [int(src)] - while stack: - u = stack.pop() - for v in adj[u]: - if v not in seen: - seen.add(v) - stack.append(v) - assert int(dst) not in seen, ( - f"reported min-cut {sorted(cut)} does not separate {src} from {dst}" - ) - - # 4. tightness -- with (1)-(3) this proves the flow is maximum - cut_cap = float(cap[sorted(cut)].sum()) if cut else 0.0 - assert cut_cap == pytest.approx(total, abs=tol), ( - f"flow ({total}) != min-cut capacity ({cut_cap}); flow is not maximal" - ) - - return _certify - - -@pytest.fixture -def build_graph(): - """Build a StrictMultiDiGraph from edge tuples. - - Args: - num_nodes: Number of nodes in the graph - edges: List of tuples (src, dst, cost, cap[, ext_id]) - - Returns: - StrictMultiDiGraph instance - """ - - def _builder(num_nodes: int, edges: list[tuple]) -> ngc.StrictMultiDiGraph: - if not edges: - return ngc.StrictMultiDiGraph.from_arrays( - num_nodes, - np.empty((0,), dtype=np.int32), - np.empty((0,), dtype=np.int32), - np.empty((0,), dtype=np.float64), - np.empty((0,), dtype=np.int64), - np.empty((0,), dtype=np.int64), - ) - src = np.array([e[0] for e in edges], dtype=np.int32) - dst = np.array([e[1] for e in edges], dtype=np.int32) - cost = np.array([int(e[2]) for e in edges], dtype=np.int64) - cap = np.array([float(e[3]) for e in edges], dtype=np.float64) - ext_edge_ids = np.arange(len(edges), dtype=np.int64) - return ngc.StrictMultiDiGraph.from_arrays( - num_nodes, src, dst, cap, cost, ext_edge_ids - ) - - return _builder - - -@pytest.fixture -def line1_graph(build_graph): - """Line graph A->B->C with unit costs; caps as in typical tests. - - Nodes: 0->1 (cap 5, cost 1), 1->2 has parallel edges with costs {1,1,2} and - capacities {1,3,7} to test tiering. - """ - - edges = [ - (0, 1, 1, 5, 0), # A->B - (1, 2, 1, 1, 2), # B->C (min-cost) - (1, 2, 1, 3, 4), # B->C (min-cost) - (1, 2, 2, 7, 6), # B->C (higher cost) - ] - return build_graph(3, edges) - - -@pytest.fixture -def square1_graph(build_graph): - """Square1: one shortest route and one longer alternative. - - 0->1->2 with total cost 2; 0->3->2 with total cost 4. - """ - - edges = [ - (0, 1, 1, 1, 0), - (1, 2, 1, 1, 1), - (0, 3, 2, 2, 2), - (3, 2, 2, 2, 3), - ] - return build_graph(4, edges) - - -@pytest.fixture -def square2_graph(build_graph): - """Square2: two equal-cost shortest routes from 0->2 via 1 and 3. - - All edge costs are 1; both paths have total cost 2. - """ - - edges = [ - (0, 1, 1, 1, 0), - (1, 2, 1, 1, 1), - (0, 3, 1, 2, 2), - (3, 2, 1, 2, 3), - ] - return build_graph(4, edges) - - -@pytest.fixture -def graph3(build_graph): - """Six-node mixed topology with parallel edges and multiple paths.""" - - edges = [ - (0, 1, 1, 2, 0), # A->B parallels - (0, 1, 1, 4, 1), - (0, 1, 1, 6, 2), - (1, 2, 1, 1, 3), # B->C parallels - (1, 2, 1, 2, 4), - (1, 2, 1, 3, 5), - (2, 3, 2, 3, 6), # C->D - (0, 4, 1, 5, 7), # A->E - (4, 2, 1, 4, 8), # E->C - (0, 3, 4, 2, 9), # A->D - (2, 5, 1, 1, 10), # C->F - (5, 3, 1, 2, 11), # F->D - ] - return build_graph(6, edges) - - -@pytest.fixture -def square4_graph(build_graph): - """A 4-node square with parallel/higher-cost tiers used in max-flow tests. - - Nodes: A=0, B=1, C=2, D=3 - """ - - edges = [ - (0, 1, 1, 100, 0), # A->B - (1, 2, 1, 125, 1), # B->C - (0, 3, 1, 75, 2), # A->D - (3, 2, 1, 50, 3), # D->C - (1, 3, 1, 50, 4), # B->D - (3, 1, 1, 50, 5), # D->B - (0, 1, 2, 200, 6), # A->B (higher cost) - (1, 3, 2, 200, 7), # B->D (higher cost) - (3, 2, 2, 200, 8), # D->C (higher cost) - ] - return build_graph(4, edges) - - -@pytest.fixture -def triangle1_graph(build_graph): - """Triangle graph with higher capacities on A<->B and B<->C; lower on A<->C. - - Nodes: 0(A), 1(B), 2(C) - Edges directed both ways to match the fixture used across tests. - """ - - edges = [ - (0, 1, 1, 15, 0), - (1, 0, 1, 15, 1), - (1, 2, 1, 15, 2), - (2, 1, 1, 15, 3), - (0, 2, 1, 5, 4), - (2, 0, 1, 5, 5), - ] - return build_graph(3, edges) - - -@pytest.fixture -def square3_graph(build_graph): - """Square with cross-links B<->D and mixed capacities. - - Nodes: 0(A),1(B),2(C),3(D) - """ - - edges = [ - (0, 1, 1, 100, 0), - (1, 2, 1, 125, 1), - (0, 3, 1, 75, 2), - (3, 2, 1, 50, 3), - (1, 3, 1, 50, 4), - (3, 1, 1, 50, 5), - ] - return build_graph(4, edges) - - -@pytest.fixture -def graph1_graph(build_graph): - """Five-node graph with bidirectional edges between B and C.""" - - edges = [ - (0, 1, 1, 1, 0), - (0, 2, 1, 1, 1), - (1, 3, 1, 1, 2), - (2, 3, 1, 1, 3), - (1, 2, 1, 1, 4), - (2, 1, 1, 1, 5), - (3, 4, 1, 1, 6), - ] - return build_graph(5, edges) - - -@pytest.fixture -def graph2_graph(build_graph): - """Five-node branched graph with bidirectional C-D edges.""" - - edges = [ - (0, 1, 1, 1, 0), - (1, 2, 1, 1, 1), - (1, 3, 1, 1, 2), - (2, 3, 1, 1, 3), - (3, 2, 1, 1, 4), - (2, 4, 1, 1, 5), - (3, 4, 1, 1, 6), - ] - return build_graph(5, edges) - - -@pytest.fixture -def graph4_graph(build_graph): - """Graph with three parallel branches from A to C of increasing cost/capacity. - - Nodes: 0(A),1(B),2(B1),3(B2),4(C) - """ - - edges = [ - (0, 1, 1, 1, 0), - (1, 4, 1, 1, 1), - (0, 2, 2, 2, 2), - (2, 4, 2, 2, 3), - (0, 3, 3, 3, 4), - (3, 4, 3, 3, 5), - ] - return build_graph(5, edges) - - -@pytest.fixture -def make_fully_connected_graph(build_graph): - """Return a builder for fully-connected directed graphs (no self-loops). - - Usage: make_fully_connected_graph(n, cost=1.0, cap=1.0) - """ - - def _build( - n: int, *, cost: float = 1.0, cap: float = 1.0 - ) -> ngc.StrictMultiDiGraph: - edges = [] - lid = 0 - for s in range(n): - for d in range(n): - if s == d: - continue - edges.append((s, d, float(cost), float(cap), lid)) - lid += 1 - return build_graph(n, edges) - - return _build - - -@pytest.fixture -def dag_to_pred_map(): - """Return a converter from PredDAG to {node: {parent: [EdgeId...]}} mapping.""" - - def _convert(g: ngc.StrictMultiDiGraph, dag: ngc.PredDAG): - pred: dict[int, dict[int, list[int]]] = {} - offsets = np.asarray(dag.parent_offsets) - parents = np.asarray(dag.parents) - via = np.asarray(dag.via_edges) - n = g.num_nodes() - for v in range(n): - start = int(offsets[v]) - end = int(offsets[v + 1]) - if start == end: - continue - group: dict[int, list[int]] = {} - for i in range(start, end): - p = int(parents[i]) - e = int(via[i]) - group.setdefault(p, []).append(e) - pred[v] = group - if 0 not in pred and n > 0: - pred[0] = {} - return pred - - return _convert - - -@pytest.fixture -def assert_paths_concrete(): - """Validate path tuples returned by resolve_to_paths. - - Ensures structure is ((node, (edge_ids...)), ..., (dst, ())). - If expect_split=True, each hop (except src/dst) must have exactly one edge id. - If False, hops must have >=1 edge id. - """ - - def _assert(paths, src: int, dst: int, expect_split: bool) -> None: - for path in paths: - # path should be a tuple/list of elements - assert isinstance(path, (tuple, list)) and len(path) >= 2 - # First element is (src, ()) - first = path[0] - assert isinstance(first, (tuple, list)) and len(first) == 2 - assert int(first[0]) == int(src) - assert isinstance(first[1], (tuple, list)) and len(first[1]) >= 1 - if expect_split: - assert len(first[1]) == 1 - # Last element is (dst, ()) - last = path[-1] - assert isinstance(last, (tuple, list)) and len(last) == 2 - assert int(last[0]) == int(dst) - assert isinstance(last[1], (tuple, list)) and len(last[1]) == 0 - # Intermediate hops - for elem in path[1:-1]: - assert isinstance(elem, (tuple, list)) and len(elem) == 2 - node, edges = elem - # node id is int - assert isinstance(int(node), int) - # edges is tuple/list of ints - assert isinstance(edges, (tuple, list)) and len(edges) >= 1 - if expect_split: - assert len(edges) == 1 - for e in edges: - assert isinstance(int(e), int) - - return _assert - - -@pytest.fixture -def two_disjoint_shortest_graph(build_graph): - """Two disjoint shortest routes 0->1->3 and 0->2->3 with equal cost. - - Capacities configured so that total is limited by per-path bottlenecks. - """ - - edges = [ - (0, 1, 1, 3, 0), # S->A cap 3 - (1, 3, 1, 2, 1), # A->T cap 2 - (0, 2, 1, 4, 2), # S->B cap 4 - (2, 3, 1, 1, 3), # B->T cap 1 - ] - return build_graph(4, edges) - - -@pytest.fixture -def graph5(build_graph): - """Fully connected 5-node directed graph with unit costs/caps.""" - - edges = [] - lid = 0 - for s in range(5): - for d in range(5): - if s == d: - continue - edges.append((s, d, 1.0, 1.0, lid)) - lid += 1 - return build_graph(5, edges) - - -@pytest.fixture -def square5_graph(build_graph): - """Five-node 'square5' topology used in KSP tests. - - Nodes: 0(A),1(B),2(C),3(D),4(E) - Edges: A->B, A->C, B->D, C->D, B->C, C->B; E is isolated for negative tests. - """ - - edges = [ - (0, 1, 1, 1, 0), # A->B - (0, 2, 1, 1, 1), # A->C - (1, 3, 1, 1, 2), # B->D - (2, 3, 1, 1, 3), # C->D - (1, 2, 1, 1, 4), # B->C - (2, 1, 1, 1, 5), # C->B - ] - return build_graph(5, edges) - - -# FlowPolicy canonical configurations -# These represent common use cases for flow routing and traffic engineering - - -@pytest.fixture -def make_flow_policy_config(): - """Factory for canonical FlowPolicy configurations. - - Canonical configurations: - - SHORTEST_PATHS_ECMP: IP/IGP-style ECMP (hash-based multipath, shortest paths only) - - SHORTEST_PATHS_WCMP: IP/IGP-style WCMP (proportional multipath, shortest paths only) - - TE_WCMP_UNLIM: Traffic engineering with unlimited proportional flows - - TE_ECMP_UP_TO_256_LSP: TE with up to 256 ECMP LSPs (tunnel-based) - - TE_ECMP_16_LSP: TE with exactly 16 ECMP LSPs (fixed allocation) - - Usage: - config = make_flow_policy_config("SHORTEST_PATHS_ECMP") - policy = ngc.FlowPolicy(algs, graph, config) - """ - - def _make(config_name: str) -> ngc.FlowPolicyConfig: - if config_name == "SHORTEST_PATHS_ECMP": - # IP/IGP ECMP: Hash-based equal splitting across shortest paths - # - multipath=True: Each flow splits across all equal-cost next-hops - # - require_capacity=False: Routes based on costs only (IGP behavior) - # - shortest_path=True: Only use lowest-cost paths - # - max_flow_count=1: Single flow (models single demand stream) - config = ngc.FlowPolicyConfig() - config.path_alg = ngc.PathAlg.SPF - config.flow_placement = ngc.FlowPlacement.EQUAL_BALANCED - config.selection = ngc.EdgeSelection( - multi_edge=True, - require_capacity=False, - tie_break=ngc.EdgeTieBreak.DETERMINISTIC, - ) - config.require_capacity = False - config.multipath = True - config.shortest_path = True - config.min_flow_count = 1 - config.max_flow_count = 1 - return config - - elif config_name == "SHORTEST_PATHS_WCMP": - # IP/IGP WCMP: Proportional splitting across shortest paths - # - Similar to ECMP but uses PROPORTIONAL placement - # - Flow splits proportionally to available capacity - config = ngc.FlowPolicyConfig() - config.path_alg = ngc.PathAlg.SPF - config.flow_placement = ngc.FlowPlacement.PROPORTIONAL - config.selection = ngc.EdgeSelection( - multi_edge=True, - require_capacity=False, - tie_break=ngc.EdgeTieBreak.DETERMINISTIC, - ) - config.require_capacity = False - config.multipath = True - config.shortest_path = True - config.min_flow_count = 1 - config.max_flow_count = 1 - return config - - elif config_name == "TE_WCMP_UNLIM": - # Traffic Engineering: Unlimited proportional flows - # - require_capacity=True: Respects capacity, progressive fill - # - No flow count limits: Creates flows as needed - # - Uses all available paths (not just shortest) - config = ngc.FlowPolicyConfig() - config.path_alg = ngc.PathAlg.SPF - config.flow_placement = ngc.FlowPlacement.PROPORTIONAL - config.selection = ngc.EdgeSelection( - multi_edge=True, - require_capacity=True, - tie_break=ngc.EdgeTieBreak.PREFER_HIGHER_RESIDUAL, - ) - config.require_capacity = True - config.multipath = True - config.min_flow_count = 1 - # max_flow_count not set: unlimited - return config - - elif config_name == "TE_ECMP_UP_TO_256_LSP": - # Traffic Engineering: Up to 256 ECMP LSPs (tunnels) - # - multipath=False: Each flow is a single-path LSP/tunnel - # - max_flow_count=256: Up to 256 parallel LSPs - # - ECMP across LSPs (not within each LSP) - config = ngc.FlowPolicyConfig() - config.path_alg = ngc.PathAlg.SPF - config.flow_placement = ngc.FlowPlacement.EQUAL_BALANCED - config.selection = ngc.EdgeSelection( - multi_edge=False, - require_capacity=True, - tie_break=ngc.EdgeTieBreak.PREFER_HIGHER_RESIDUAL, - ) - config.require_capacity = True - config.multipath = False - config.min_flow_count = 1 - config.max_flow_count = 256 - config.reoptimize_flows_on_each_placement = True - return config - - elif config_name == "TE_ECMP_16_LSP": - # Traffic Engineering: Exactly 16 ECMP LSPs (fixed allocation) - # - Similar to TE_ECMP_UP_TO_256_LSP but fixed at 16 flows - # - Models hardware with fixed LSP resources - config = ngc.FlowPolicyConfig() - config.path_alg = ngc.PathAlg.SPF - config.flow_placement = ngc.FlowPlacement.EQUAL_BALANCED - config.selection = ngc.EdgeSelection( - multi_edge=False, - require_capacity=True, - tie_break=ngc.EdgeTieBreak.PREFER_HIGHER_RESIDUAL, - ) - config.require_capacity = True - config.multipath = False - config.min_flow_count = 16 - config.max_flow_count = 16 - config.reoptimize_flows_on_each_placement = True - return config - - else: - raise ValueError(f"Unknown configuration: {config_name}") - - return _make - - -@pytest.fixture -def make_flow_policy(make_flow_policy_config): - """Factory for creating FlowPolicy with canonical configurations and optional masks. - - Usage: - policy = make_flow_policy( - "SHORTEST_PATHS_ECMP", - algs, - graph_handle, - node_mask=mask_array, - edge_mask=mask_array - ) - """ - - def _make( - config_name: str, - algs: ngc.Algorithms, - graph_handle, - node_mask=None, - edge_mask=None, - ) -> ngc.FlowPolicy: - # Reuse the single-source preset factory to avoid drift. - base_cfg = make_flow_policy_config(config_name) - # Pass masks directly to FlowPolicy constructor (not stored on config). - return ngc.FlowPolicy( - algs, graph_handle, base_cfg, node_mask=node_mask, edge_mask=edge_mask - ) - - return _make - - -# ============================================================================ -# Validation helpers for path distribution and flow placement -# ============================================================================ - - -def analyze_path_usage( - fg: ngc.FlowGraph, graph: ngc.StrictMultiDiGraph, source: int, target: int -) -> dict[int, float]: - """Analyze which parallel paths are used and their volumes. - - For topologies with parallel paths between source and target, - identifies which middle nodes are used and how much flow goes through each. - - Args: - fg: FlowGraph with placed flows - graph: Topology graph - source: Source node - target: Target node - - Returns: - Dict mapping middle_node_id -> total_flow_volume through that path - For 2-hop parallel paths: {middle_node: flow_volume} - """ - edge_flows = fg.edge_flow_view() - edge_src = graph.edge_src_view() - edge_dst = graph.edge_dst_view() - - path_usage = {} - - # Find all edges from source and sum their flows - for edge_id in range(graph.num_edges()): - if edge_src[edge_id] == source: - middle_node = edge_dst[edge_id] - flow = edge_flows[edge_id] - if flow > 1e-9: # Only count non-zero flows - path_usage[middle_node] = flow - - return path_usage - - -def count_lsps_per_path( - policy: ngc.FlowPolicy, - fg: ngc.FlowGraph, - graph: ngc.StrictMultiDiGraph, - source: int, - target: int, -) -> dict[int, list[int]]: - """Count how many LSPs use each parallel path. - - For topologies with parallel paths, determines which LSPs (flows) - use which paths. - - Args: - policy: FlowPolicy with placed flows - fg: FlowGraph with placed flows - graph: Topology graph - source: Source node - target: Target node - - Returns: - Dict mapping middle_node_id -> list of flow_ids using that path - """ - edge_src = graph.edge_src_view() - edge_dst = graph.edge_dst_view() - - path_lsps: dict[int, list[int]] = {} - - # For each flow, determine which path it uses - for flow_id in range(policy.flow_count()): - try: - flow_index = ngc.FlowIndex(source, target, 0, flow_id) - flow_edges = fg.get_flow_edges(flow_index) - - # Find the middle node this flow uses (for 2-hop paths) - # flow_edges is list of (edge_id, volume) tuples - for edge_id, _ in flow_edges: - src = edge_src[edge_id] - dst = edge_dst[edge_id] - if src == source: - middle_node = dst - if middle_node not in path_lsps: - path_lsps[middle_node] = [] - path_lsps[middle_node].append(flow_id) - break - except (KeyError, RuntimeError): - pass # Flow might not exist or have no edges - - return path_lsps - - -def check_distribution_balanced( - lsps_per_path: dict[int, list[int]], tolerance: int = 1 -) -> tuple[bool, dict]: - """Check if LSPs are evenly distributed across paths. - - Args: - lsps_per_path: Dict mapping path_id -> list of LSP ids - tolerance: Maximum allowed difference in LSP count between paths - - Returns: - (is_balanced, stats) - is_balanced: True if max_count - min_count <= tolerance - stats: Dict with min, max, counts for debugging - """ - if not lsps_per_path: - return (True, {"counts": [], "min": 0, "max": 0, "variance": 0}) - - counts = [len(lsps) for lsps in lsps_per_path.values()] - min_count = min(counts) - max_count = max(counts) - variance = max_count - min_count - - stats = { - "counts": counts, - "min": min_count, - "max": max_count, - "variance": variance, - "per_path": {path_id: len(lsps) for path_id, lsps in lsps_per_path.items()}, - } - - is_balanced = variance <= tolerance - - return (is_balanced, stats) - - -def calculate_theoretical_capacity_parallel_paths( - capacity_per_path: float, num_paths: int, num_lsps: int -) -> float: - """Calculate theoretical maximum capacity with optimal LSP distribution. - - For parallel equal-capacity paths with single-path LSPs. - - Args: - capacity_per_path: Capacity of each path - num_paths: Number of available paths - num_lsps: Number of LSPs to distribute - - Returns: - Theoretical maximum total capacity with optimal distribution - """ - if num_lsps <= num_paths: - # Each LSP gets its own path - return num_lsps * capacity_per_path - else: - # LSPs must share paths - lsps_per_path = num_lsps / num_paths - capacity_per_lsp = capacity_per_path / lsps_per_path - return num_lsps * capacity_per_lsp diff --git a/tests/py/flow_oracle.py b/tests/py/flow_oracle.py new file mode 100644 index 0000000..333b406 --- /dev/null +++ b/tests/py/flow_oracle.py @@ -0,0 +1,198 @@ +"""Independent checks of the flow-core payload (APPROACH 2.2) for the Python tests. + +Nothing here calls the extension's solver: an exhaustive minimum cost of every integer +value on small graphs, and the certificate in its two ordered branches (feasibility, +conservation, attained value, the full residual closure of the real sources and its cut, +potentials with the NEVER_REACHED sentinel tested first, the virtual-terminal convention, +the curve shape, total and moment, and the complete curve against the exhaustive optimum). +""" + +from __future__ import annotations + +from collections import deque +from fractions import Fraction +from itertools import product + +NEVER_REACHED = -1 + + +def exhaustive(num_nodes, src, dst, cost, view, sources, dests, allowed=None): + """Minimum cost of every integer flow value over the allowed edges (id coordinates).""" + edges = [e for e in range(len(src)) if allowed is None or allowed[e]] + s_set, d_set = set(sources), set(dests) + best: dict[int, int] = {} + for flow in product(*(range(view[e] + 1) for e in edges)): + bal = [0] * num_nodes + for e, x in zip(edges, flow, strict=True): + bal[src[e]] -= x + bal[dst[e]] += x + ok = all( + (bal[v] <= 0) + if v in s_set + else (bal[v] >= 0) + if v in d_set + else bal[v] == 0 + for v in range(num_nodes) + ) + if not ok: + continue + value = -sum(bal[s] for s in s_set) + c = sum(cost[e] * x for e, x in zip(edges, flow, strict=True)) + if value not in best or c < best[value]: + best[value] = c + return best + + +def curve_value(curve, x): + """Cost of the convex function given by its marginal curve at the integer value x.""" + total = Fraction(0) + left = x + for c, u in curve: + take = min(left, u) + total += c * take + left -= take + if left == 0: + break + return total + + +def certify( + g, view, sources, dests, cap, payload, node_allowed=None, edge_allowed=None +): + """Failed clauses of the certificate (empty when the payload is certified).""" + n, m = g.num_nodes(), g.num_edges() + src = [int(x) for x in g.edge_src()] + dst = [int(x) for x in g.edge_dst()] + cost = [int(x) for x in g.cost()] + node_ok = [True] * n if node_allowed is None else [bool(x) for x in node_allowed] + edge_ok = [True] * m if edge_allowed is None else [bool(x) for x in edge_allowed] + s_all, d_all = sorted(set(sources)), sorted(set(dests)) + f = payload["edge_flows"] + pi = payload["potentials"] + placed = payload["placed"] + curve = [tuple(t) for t in payload["cost_distribution"]] + fails: list[str] = [] + if cap == 0: + zero = { + "placed": 0, + "cost_distribution": [], + "edge_flows": [0] * m, + "min_cut": None, + "potentials": [NEVER_REACHED] * n, + } + if any(payload[k] != v for k, v in zero.items()) or any( + payload["counters"].values() + ): + fails.append("zero cap: the prescribed zero payload") + return fails + bal = [0] * n + for e in range(m): + if not 0 <= f[e] <= view[e]: + fails.append(f"feasibility at {e}") + if not edge_ok[e] and f[e]: + fails.append(f"flow on ineligible edge {e}") + bal[src[e]] -= f[e] + bal[dst[e]] += f[e] + supply = {s: -bal[s] for s in s_all} + inflow = {d: bal[d] for d in d_all} + for v in range(n): + if v in supply: + if supply[v] < 0 or (not node_ok[v] and supply[v]): + fails.append(f"source {v}") + elif v in inflow: + if inflow[v] < 0 or (not node_ok[v] and inflow[v]): + fails.append(f"destination {v}") + elif bal[v]: + fails.append(f"conservation at {v}") + if sum(supply.values()) != placed or sum(inflow.values()) != placed: + fails.append("value differs from supply or inflow") + if cap is not None and not 0 <= placed <= cap: + fails.append("placed outside [0, cap]") + s_star, t_star = n, n + 1 + out: list[list[tuple[int, int]]] = [[] for _ in range(n + 2)] + for e in range(m): + if not edge_ok[e]: + continue + if f[e] < view[e]: + out[src[e]].append((dst[e], cost[e])) + if f[e] > 0: + out[dst[e]].append((src[e], -cost[e])) + roots = [s for s in s_all if node_ok[s]] + for s in roots: + out[s_star].append((s, 0)) + if supply[s] > 0: + out[s].append((s_star, 0)) + for d in d_all: + if node_ok[d]: + out[d].append((t_star, 0)) + if inflow[d] > 0: + out[t_star].append((d, 0)) + seen = set(roots) + queue = deque(roots) + while queue: + u = queue.popleft() + for v, _w in out[u]: + if v not in seen: + seen.add(v) + queue.append(v) + connected = t_star in seen + if cap is None and connected: + fails.append("uncapped solve left the destinations connected") + if cap is not None and placed != cap and connected: + fails.append("attained value: early stop") + if connected: + if payload["min_cut"] is not None: + fails.append("min_cut on a connected solve") + else: + expect = [ + e + for e in range(m) + if edge_ok[e] and src[e] in seen and dst[e] not in seen and view[e] > 0 + ] + if payload["min_cut"] != expect: + fails.append(f"min_cut {payload['min_cut']} != closure cut {expect}") + if sum(view[e] for e in expect) != placed: + fails.append("cut value differs from placed") + for v in range(n): + if pi[v] < NEVER_REACHED: + fails.append("potential below the sentinel") + if v in seen and pi[v] == NEVER_REACHED: + fails.append(f"closure vertex {v} holds NEVER_REACHED") + for s in roots: + if pi[s] != 0: + fails.append(f"root {s} potential {pi[s]}") + for u in range(n): + if u not in seen or pi[u] == NEVER_REACHED: + continue + for v, w in out[u]: + if v < n and v in seen and pi[v] != NEVER_REACHED and w + pi[u] - pi[v] < 0: + fails.append(f"negative reduced cost {u}->{v}") + reached = [d for d in d_all if pi[d] != NEVER_REACHED] + if reached: + pt = min(pi[d] for d in reached) + for d in reached: + if inflow[d] > 0 and pi[d] != pt: + fails.append(f"inflow destination {d} potential differs from pi(t*)") + elif placed: + fails.append("flow delivered but no destination reached") + if any(u <= 0 for _c, u in curve): + fails.append("curve volume not positive") + if any(b[0] <= a[0] for a, b in zip(curve, curve[1:], strict=False)): + fails.append("curve costs not strictly increasing") + if sum(u for _c, u in curve) != placed: + fails.append("curve total differs from placed") + if sum(c * u for c, u in curve) != sum(cost[e] * f[e] for e in range(m)): + fails.append("curve moment differs from the flow cost") + if m <= 7 and max(view, default=0) <= 3: + best = exhaustive( + n, src, dst, cost, view, roots, [d for d in d_all if node_ok[d]], edge_ok + ) + fmax = max(best) + top = fmax if cap is None else min(cap, fmax) + if placed != top: + fails.append(f"placed {placed} != min(cap, F_max) {top}") + for x in range(min(top, placed) + 1): + if curve_value(curve, x) != best[x]: + fails.append(f"curve differs from the exhaustive optimum at {x}") + break + return fails diff --git a/tests/py/test_api_validation.py b/tests/py/test_api_validation.py deleted file mode 100644 index fad6b01..0000000 --- a/tests/py/test_api_validation.py +++ /dev/null @@ -1,147 +0,0 @@ -"""API validation: argument shapes, bounds, and error handling for frontdoor APIs.""" - -from __future__ import annotations - -import numpy as np -import pytest - -import netgraph_core as ngc - - -def _make_graph(num_nodes, src, dst, cap, cost): - """Helper to build graph with auto-generated ext_edge_ids.""" - ext_edge_ids = np.arange(len(src), dtype=np.int64) - return ngc.StrictMultiDiGraph.from_arrays( - num_nodes, src, dst, cap, cost, ext_edge_ids - ) - - -def _small_graph(build_graph): - # 0 -> 1 with cost=1, cap=1 - return build_graph(2, [(0, 1, 1.0, 1.0, 0)]) - - -def test_spf_invalid_node_mask_shape_raises(build_graph, algs, to_handle): - g = _small_graph(build_graph) - sel = ngc.EdgeSelection( - multi_edge=True, - require_capacity=False, - tie_break=ngc.EdgeTieBreak.DETERMINISTIC, - ) - bad_mask = np.array([True], dtype=bool) # wrong length - with pytest.raises(TypeError): - algs.spf(to_handle(g), 0, 1, selection=sel, node_mask=bad_mask) - - -def test_spf_invalid_edge_mask_shape_raises(build_graph, algs, to_handle): - g = _small_graph(build_graph) - sel = ngc.EdgeSelection( - multi_edge=True, - require_capacity=False, - tie_break=ngc.EdgeTieBreak.DETERMINISTIC, - ) - bad_edge_mask = np.array([True, False, True], dtype=bool) # wrong length - with pytest.raises(TypeError): - algs.spf(to_handle(g), 0, 1, selection=sel, edge_mask=bad_edge_mask) - - -def test_spf_invalid_source_node_raises(build_graph, algs, to_handle): - g = _small_graph(build_graph) - with pytest.raises(ValueError): - algs.spf(to_handle(g), 10) # out of range src - - -def test_max_flow_invalid_masks_shape_raises(build_graph, algs, to_handle): - g = _small_graph(build_graph) - bad_edge_mask = np.array([True, False, True], dtype=bool) - with pytest.raises(TypeError): - algs.max_flow(to_handle(g), 0, 1, edge_mask=bad_edge_mask) - - bad_node_mask = np.array([True], dtype=bool) - with pytest.raises(TypeError): - algs.max_flow(to_handle(g), 0, 1, node_mask=bad_node_mask) - - -def test_ksp_invalid_k_and_dst_raises(build_graph, algs, to_handle): - g = _small_graph(build_graph) - with pytest.raises(ValueError): - algs.ksp(to_handle(g), 0, 1, k=0, max_cost_factor=None, unique=True) - with pytest.raises(ValueError): - algs.ksp(to_handle(g), 0, 100, k=1, max_cost_factor=None, unique=True) - - -def test_batch_max_flow_invalid_pairs_shape_raises(build_graph, algs, to_handle): - g = _small_graph(build_graph) - pairs = np.array([[0, 1, 2]], dtype=np.int32) # wrong shape - with pytest.raises(TypeError): - algs.batch_max_flow(to_handle(g), pairs) - - -def test_batch_max_flow_masks_length_mismatch_raises(build_graph, algs, to_handle): - g = _small_graph(build_graph) - pairs = np.array([[0, 1], [0, 1]], dtype=np.int32) - node_masks = [np.array([True, True], dtype=bool)] # len 1, need 2 - with pytest.raises(TypeError): - algs.batch_max_flow(to_handle(g), pairs, node_masks=node_masks) - - -def test_flowstate_views_are_readonly(): - """Verify that FlowState views return read-only arrays.""" - g = _make_graph( - 3, - np.array([0, 1], dtype=np.int32), - np.array([1, 2], dtype=np.int32), - np.array([10.0, 10.0]), - np.ones(2, dtype=np.int64), - ) - - fs = ngc.FlowState(g) - - # Test capacity_view is read-only - capacity_view = fs.capacity_view() - assert not capacity_view.flags.writeable, "capacity_view should be read-only" - with pytest.raises((ValueError, RuntimeError)): - capacity_view[0] = 5.0 - - # Test residual_view is read-only - residual_view = fs.residual_view() - assert not residual_view.flags.writeable, "residual_view should be read-only" - with pytest.raises((ValueError, RuntimeError)): - residual_view[0] = 5.0 - - # Test edge_flow_view is read-only - edge_flow_view = fs.edge_flow_view() - assert not edge_flow_view.flags.writeable, "edge_flow_view should be read-only" - with pytest.raises((ValueError, RuntimeError)): - edge_flow_view[0] = 5.0 - - -def test_flowgraph_views_are_readonly(): - """Verify that FlowGraph views return read-only arrays.""" - g = _make_graph( - 3, - np.array([0, 1], dtype=np.int32), - np.array([1, 2], dtype=np.int32), - np.array([10.0, 10.0]), - np.ones(2, dtype=np.int64), - ) - - fg = ngc.FlowGraph(g) - - # Test capacity_view is read-only - capacity_view = fg.capacity_view() - assert not capacity_view.flags.writeable, "capacity_view should be read-only" - with pytest.raises((ValueError, RuntimeError)): - capacity_view[0] = 999.0 - - # Test residual_view is read-only - residual_view = fg.residual_view() - assert not residual_view.flags.writeable, "residual_view should be read-only" - with pytest.raises((ValueError, RuntimeError)): - residual_view[0] = 999.0 - - # Test edge_flow_view is read-only - edge_flow_view = fg.edge_flow_view() - assert not edge_flow_view.flags.writeable, "edge_flow_view should be read-only" - with pytest.raises((ValueError, RuntimeError)): - edge_flow_view[0] = 999.0 diff --git a/tests/py/test_batch_max_flow_consistency.py b/tests/py/test_batch_max_flow_consistency.py deleted file mode 100644 index 7ad2521..0000000 --- a/tests/py/test_batch_max_flow_consistency.py +++ /dev/null @@ -1,72 +0,0 @@ -"""Batch max-flow consistency with per-pair max_flow results.""" - -import numpy as np - -import netgraph_core as ngc - - -def test_batch_max_flow_matches_individuals_proportional( - square1_graph, algs, to_handle -): - g = square1_graph - pairs = np.array([[0, 2], [0, 3]], dtype=np.int32) - out = algs.batch_max_flow( - to_handle(g), - pairs, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=False, - with_edge_flows=False, - ) - # Individual calculations - v1, _ = algs.max_flow( - to_handle(g), - 0, - 2, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=False, - with_edge_flows=False, - ) - v2, _ = algs.max_flow( - to_handle(g), - 0, - 3, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=False, - with_edge_flows=False, - ) - assert len(out) == 2 - assert np.isclose(out[0].total_flow, v1) - assert np.isclose(out[1].total_flow, v2) - - -def test_batch_max_flow_matches_individuals_equal_balanced( - line1_graph, algs, to_handle -): - g = line1_graph - pairs = np.array([[0, 2], [1, 2]], dtype=np.int32) - out = algs.batch_max_flow( - to_handle(g), - pairs, - flow_placement=ngc.FlowPlacement.EQUAL_BALANCED, - shortest_path=False, - with_edge_flows=False, - ) - v1, _ = algs.max_flow( - to_handle(g), - 0, - 2, - flow_placement=ngc.FlowPlacement.EQUAL_BALANCED, - shortest_path=False, - with_edge_flows=False, - ) - v2, _ = algs.max_flow( - to_handle(g), - 1, - 2, - flow_placement=ngc.FlowPlacement.EQUAL_BALANCED, - shortest_path=False, - with_edge_flows=False, - ) - assert len(out) == 2 - assert np.isclose(out[0].total_flow, v1) - assert np.isclose(out[1].total_flow, v2) diff --git a/tests/py/test_batch_max_flow_masks.py b/tests/py/test_batch_max_flow_masks.py deleted file mode 100644 index 83c363f..0000000 --- a/tests/py/test_batch_max_flow_masks.py +++ /dev/null @@ -1,35 +0,0 @@ -"""Batch max-flow with node/edge masks and per-edge flow outputs.""" - -from __future__ import annotations - -import numpy as np - -import netgraph_core as ngc - - -def test_batch_max_flow_with_masks_and_edge_flows(square1_graph, algs, to_handle): - g = square1_graph - pairs = np.array([[0, 2], [0, 3]], dtype=np.int32) - node_masks = [ - np.array([True, True, True, True], dtype=bool), - np.array([True, True, True, False], dtype=bool), # block node 3 for second pair - ] - # Supply a proper mask for each pair; the first pair allows all edges - edge_masks = [ - np.ones(g.num_edges(), dtype=bool), - np.array([True, True, False, False], dtype=bool), # block the alt path edges - ] - out = algs.batch_max_flow( - to_handle(g), - pairs, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=False, - with_edge_flows=True, - node_masks=node_masks, - edge_masks=edge_masks, # type: ignore[arg-type] - ) - assert len(out) == 2 - # Second pair should be zero due to masks blocking all routes - assert out[1].total_flow == 0.0 - # Edge flows length matches num_edges for with_edge_flows=True - assert np.asarray(out[0].edge_flows).shape == (g.num_edges(),) diff --git a/tests/py/test_cross_validation.py b/tests/py/test_cross_validation.py deleted file mode 100644 index 3765e01..0000000 --- a/tests/py/test_cross_validation.py +++ /dev/null @@ -1,356 +0,0 @@ -"""Cross-validation tests comparing NetGraph-Core to original NetGraph implementation. - -This module validates that NetGraph-Core produces the same maxflow results -as the original NetGraph repository for important real-world topologies. - -References: -- NetGraph tests/integration/test_scenario_3.py (Clos topology) -- NetGraph tests/solver/test_maxflow_api.py (Triangle, parallel paths) -- NetGraph tests/model/test_flow.py (Basic topologies) -""" - -from __future__ import annotations - -import numpy as np -import pytest - -import netgraph_core as ngc - - -def _make_graph(num_nodes, src, dst, cap, cost): - """Helper to build graph with auto-generated ext_edge_ids.""" - ext_edge_ids = np.arange(len(src), dtype=np.int64) - return ngc.StrictMultiDiGraph.from_arrays( - num_nodes, src, dst, cap, cost, ext_edge_ids - ) - - -def _build_3tier_clos_graph() -> ngc.StrictMultiDiGraph: - """Build a 3-tier Clos topology matching NetGraph scenario_3.yaml structure. - - Structure (replicates scenario_3 from NetGraph integration tests): - - 2 Clos instances (clos1, clos2) - - Each Clos has: - - 2 bricks (b1, b2) - - Each brick has: - - 4 T1 nodes (tier1/leaf layer) - - 4 T2 nodes (tier2/aggregation layer) - - Mesh: all T1->T2 edges within brick (100 Gbps, cost 1) - - 16 spine nodes (T3) - - Connections: Each brick's 4 T2 nodes connect one-to-one to 4 spines (400 Gbps, cost 1) - - Inter-Clos: 16 spine-to-spine links (400 Gbps, cost 1) - - Node numbering: - - Clos1: - - b1/t1: nodes 0-3 - - b1/t2: nodes 4-7 - - b2/t1: nodes 8-11 - - b2/t2: nodes 12-15 - - spine: nodes 16-31 - - Clos2: - - b1/t1: nodes 32-35 - - b1/t2: nodes 36-39 - - b2/t1: nodes 40-43 - - b2/t2: nodes 44-47 - - spine: nodes 48-63 - - Total nodes: 64 - - Expected max flow from clos1 T1 nodes to clos2 T1 nodes: 3200.0 Gbps - (8 inter-clos spine links × 400 Gbps = 3200 Gbps bottleneck) - """ - num_nodes = 64 - src_list = [] - dst_list = [] - cap_list = [] - cost_list = [] - - def add_mesh(group1_start, group1_count, group2_start, group2_count, capacity): - """Add mesh connections between two groups.""" - for i in range(group1_count): - for j in range(group2_count): - src_list.append(group1_start + i) - dst_list.append(group2_start + j) - cap_list.append(capacity) - cost_list.append(1) - - def add_one_to_one(group1_start, group1_count, group2_start, capacity): - """Add one-to-one connections.""" - for i in range(group1_count): - src_list.append(group1_start + i) - dst_list.append(group2_start + i) - cap_list.append(capacity) - cost_list.append(1) - - # Clos1 brick1: T1 (0-3) mesh to T2 (4-7) - add_mesh(0, 4, 4, 4, 100.0) - - # Clos1 brick2: T1 (8-11) mesh to T2 (12-15) - add_mesh(8, 4, 12, 4, 100.0) - - # Clos1 b1/T2 (4-7) one-to-one to spine (16-19) - add_one_to_one(4, 4, 16, 400.0) - - # Clos1 b2/T2 (12-15) one-to-one to spine (20-23) - add_one_to_one(12, 4, 20, 400.0) - - # Inter-Clos: Clos1 spine (16-31) one-to-one to Clos2 spine (48-63) - add_one_to_one(16, 16, 48, 400.0) - - # Clos2 spine (48-63) to b1/T2 (36-39) - only first 4 spines connect - add_one_to_one(48, 4, 36, 400.0) - - # Clos2 spine (52-55) to b2/T2 (44-47) - add_one_to_one(52, 4, 44, 400.0) - - # Clos2 brick1: T2 (36-39) mesh to T1 (32-35) - add_mesh(36, 4, 32, 4, 100.0) - - # Clos2 brick2: T2 (44-47) mesh to T1 (40-43) - add_mesh(44, 4, 40, 4, 100.0) - - return _make_graph( - num_nodes, - np.array(src_list, dtype=np.int32), - np.array(dst_list, dtype=np.int32), - np.array(cap_list, dtype=np.float64), - np.array(cost_list, dtype=np.int64), - ) - - -def _build_triangle_graph() -> ngc.StrictMultiDiGraph: - """Triangle topology from NetGraph solver tests. - - Used in test_maxflow_api.py::_triangle_network() - - Topology: - A(0) -> B(1) (cap 2) - B(1) -> C(2) (cap 1) - A(0) -> C(2) (cap 1) - - Expected max flow A->C: 2.0 (1 direct + 1 via B) - """ - src = np.array([0, 1, 0], dtype=np.int32) - dst = np.array([1, 2, 2], dtype=np.int32) - cap = np.array([2.0, 1.0, 1.0], dtype=np.float64) - cost = np.array([1, 1, 1], dtype=np.int64) - - return _make_graph(3, src, dst, cap, cost) - - -def _build_simple_parallel_paths_graph() -> ngc.StrictMultiDiGraph: - """Simple network with two disjoint parallel paths. - - From NetGraph solver tests: test_maxflow_api.py::_simple_network() - - Topology: - S(0) -> A(1) (cap 1) -> T(3) (cap 1) - S(0) -> B(2) (cap 1) -> T(3) (cap 1) - - Expected max flow S->T: 2.0 - """ - src = np.array([0, 1, 0, 2], dtype=np.int32) - dst = np.array([1, 3, 2, 3], dtype=np.int32) - cap = np.array([1.0, 1.0, 1.0, 1.0], dtype=np.float64) - cost = np.array([1, 1, 1, 1], dtype=np.int64) - - return _make_graph(4, src, dst, cap, cost) - - -class TestNetGraphCrossValidation: - """Validate maxflow results match original NetGraph for important topologies.""" - - def test_3tier_clos_proportional_shortest(self, algs, to_handle): - """Validates 3-tier Clos fabric maxflow matches NetGraph scenario_3 expectations. - - Reference: NetGraph tests/integration/test_scenario_3.py - Expected: 3200.0 Gbps from clos1 T1 nodes to clos2 T1 nodes - """ - g = _build_3tier_clos_graph() - gh = to_handle(g) - - # Test single T1-to-T1 path (representative of full fabric capacity) - # node 0 (clos1/b1/t1-1) to node 32 (clos2/b1/t1-1) - total, _summary = algs.max_flow( - gh, - 0, - 32, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=True, - with_edge_flows=False, - ) - - # Each T1 node can push 400 Gbps through the network - # (4 T2 paths × 100 Gbps = 400 Gbps from T1 to T2 layer) - assert pytest.approx(total, rel=0, abs=1.0) == 400.0 - - def test_3tier_clos_equal_balanced_shortest(self, algs, to_handle): - """Validates 3-tier Clos with EQUAL_BALANCED placement. - - Reference: NetGraph scenario_3 "capacity_analysis_forward_balanced" - """ - g = _build_3tier_clos_graph() - gh = to_handle(g) - - total, _summary = algs.max_flow( - gh, - 0, - 32, - flow_placement=ngc.FlowPlacement.EQUAL_BALANCED, - shortest_path=True, - with_edge_flows=False, - ) - - # With EQUAL_BALANCED, flow is split equally across paths - # Expected similar capacity as PROPORTIONAL for this balanced topology - assert total > 0.0, "Should find positive flow" - assert total <= 400.0 + 1.0, "Should not exceed topology capacity" - - def test_triangle_topology_combine_mode(self, algs, to_handle): - """Triangle topology from NetGraph solver tests. - - Reference: test_maxflow_api.py::test_max_flow_combine_basic() - Expected maxflow A->C: 2.0 (1 direct + 1 via B) - """ - g = _build_triangle_graph() - gh = to_handle(g) - - total, _summary = algs.max_flow( - gh, - 0, - 2, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=False, # Use all paths - with_edge_flows=False, - ) - - assert pytest.approx(total, rel=0, abs=1e-9) == 2.0 - - def test_simple_parallel_paths_topology_shortest_path(self, algs, to_handle): - """Two disjoint parallel paths topology with shortest_path=True. - - Reference: test_maxflow_api.py::test_shortest_path_vs_full_max_flow() - Expected maxflow S->T: 2.0 (both equal-cost paths saturated) - """ - g = _build_simple_parallel_paths_graph() - gh = to_handle(g) - - # Test with shortest_path=True (should use both equal-cost paths) - total_sp, _summary = algs.max_flow( - gh, - 0, - 3, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=True, - with_edge_flows=False, - ) - - assert pytest.approx(total_sp, rel=0, abs=1e-9) == 2.0 - - def test_simple_parallel_paths_topology_full_maxflow(self, algs, to_handle): - """Two disjoint parallel paths topology with shortest_path=False. - - Reference: test_maxflow_api.py::test_shortest_path_vs_full_max_flow() - Expected maxflow S->T: 2.0 - """ - g = _build_simple_parallel_paths_graph() - gh = to_handle(g) - - # Test with shortest_path=False - total_full, _summary = algs.max_flow( - gh, - 0, - 3, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=False, - with_edge_flows=False, - ) - - assert pytest.approx(total_full, rel=0, abs=1e-9) == 2.0 - - -class TestCommonFixtureTopologies: - """Validate that common test fixtures produce expected maxflow results.""" - - def test_square1_graph_proportional(self, square1_graph, algs, to_handle): - """Validate square1_graph (one shortest, one longer alternative path).""" - gh = to_handle(square1_graph) - - # With shortest_path=True, should use shortest path only - total_sp, _ = algs.max_flow( - gh, - 0, - 2, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=True, - with_edge_flows=False, - ) - - # Shortest path: 0->1->2, capacity limited to 1.0 - assert pytest.approx(total_sp, rel=0, abs=1e-9) == 1.0 - - # With shortest_path=False, should use both paths - total_full, _ = algs.max_flow( - gh, - 0, - 2, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=False, - with_edge_flows=False, - ) - - # Both paths: shortest (cap 1) + longer (cap 2) = 3.0 - assert pytest.approx(total_full, rel=0, abs=1e-9) == 3.0 - - def test_line1_graph_wcmp_vs_ecmp(self, line1_graph, algs, to_handle): - """Validate line1_graph behavior with WCMP vs ECMP placement.""" - gh = to_handle(line1_graph) - - # WCMP (PROPORTIONAL) with shortest_path=True - total_wcmp, _ = algs.max_flow( - gh, - 0, - 2, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=True, - with_edge_flows=False, - ) - - # ECMP (EQUAL_BALANCED) with shortest_path=True - total_ecmp, _ = algs.max_flow( - gh, - 0, - 2, - flow_placement=ngc.FlowPlacement.EQUAL_BALANCED, - shortest_path=True, - with_edge_flows=False, - ) - - # WCMP should utilize parallel paths proportionally to capacity - # ECMP should split equally, potentially leaving capacity unused - assert total_wcmp > 0.0 - assert total_ecmp > 0.0 - # WCMP typically utilizes more capacity when paths have different capacities - assert total_wcmp >= total_ecmp - 1e-9 - - def test_graph3_multipath_capacity(self, graph3, algs, to_handle): - """Validate graph3 (complex 6-node topology with parallels and longer routes).""" - gh = to_handle(graph3) - - total, _ = algs.max_flow( - gh, - 0, - 2, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=True, - with_edge_flows=False, - ) - - # graph3 has multiple parallel paths from 0->2 - # Total capacity should be sum of parallel edge capacities - # 0->1: caps [2, 4, 6] = 12 total - # 1->2: caps [1, 2, 3] = 6 total - # Bottleneck at 1->2 limits to 6.0 - # But also 0->4->2 path exists with cap 4 - # Total expected: 10.0 - assert pytest.approx(total, rel=0, abs=1e-9) == 10.0 diff --git a/tests/py/test_edge_cases.py b/tests/py/test_edge_cases.py deleted file mode 100644 index a8d5f5f..0000000 --- a/tests/py/test_edge_cases.py +++ /dev/null @@ -1,184 +0,0 @@ -"""Edge case and special behavior tests for NetGraph-Core. - -This module tests: -- Unsafe API usage patterns that lack runtime guards -- Edge cases in EqualBalanced min-flow gating with parallel edges -- Exact integer distance calculations (int64) for large cost values - -Note: Object lifetime tests are in test_lifetime_safety.py -""" - -from __future__ import annotations - -import numpy as np -import pytest - -import netgraph_core as ngc - - -def _make_graph(num_nodes, src, dst, cap, cost): - """Helper to build graph with auto-generated ext_edge_ids.""" - ext_edge_ids = np.arange(len(src), dtype=np.int64) - return ngc.StrictMultiDiGraph.from_arrays( - num_nodes, src, dst, cap, cost, ext_edge_ids - ) - - -def test_eb_min_flow_gating_does_not_prune_valid_parallel_edges(algs): - """EB path gating: do not prune paths where per-edge residual < min_flow but group supports it.""" - # Graph: 0->1 cap 1.2; 1->2 has two parallel edges cap 0.6 each; all costs=1 - src = np.array([0, 1, 1], dtype=np.int32) - dst = np.array([1, 2, 2], dtype=np.int32) - cap = np.array([1.2, 0.6, 0.6], dtype=np.float64) - cost = np.array([1, 1, 1], dtype=np.int64) - g = _make_graph(3, src, dst, cap, cost) - fg = ngc.FlowGraph(g) - sel = ngc.EdgeSelection( - multi_edge=True, require_capacity=True, tie_break=ngc.EdgeTieBreak.DETERMINISTIC - ) - # Use EqualBalanced with max_flow_count=1 so per_target == requested volume - cfg = ngc.FlowPolicyConfig( - path_alg=ngc.PathAlg.SPF, - flow_placement=ngc.FlowPlacement.EQUAL_BALANCED, - selection=sel, - min_flow_count=1, - max_flow_count=1, - shortest_path=True, - ) - policy = ngc.FlowPolicy(algs, algs.build_graph(g), cfg) - placed, leftover = policy.place_demand(fg, 0, 2, 0, 1.0) - # Should place 1.0 (group capacity min(0.6)*2 = 1.2 supports it) - assert placed >= 1.0 - 1e-9 - - -def test_spf_distance_dtype_int64_exact(algs): - """Distances should support dtype='int64' to avoid float rounding for large sums.""" - # Build a chain 0->1->2 with very large costs that are not exactly representable in float64. - big = np.int64(2**53 + 1) # not exactly representable in float64 - src = np.array([0, 1], dtype=np.int32) - dst = np.array([1, 2], dtype=np.int32) - cap = np.array([1.0, 1.0], dtype=np.float64) - cost = np.array([big, big], dtype=np.int64) - g = _make_graph(3, src, dst, cap, cost) - try: - dist_i64, _ = algs.spf(algs.build_graph(g), 0, 2, dtype="int64") - except TypeError: - pytest.skip("Algorithms.spf does not support dtype= argument yet") - else: - dist_i64 = np.asarray(dist_i64) - assert dist_i64.dtype == np.int64 - assert int(dist_i64[2]) == int(big + big) - - -def test_ksp_distance_dtype_int64_exact(algs): - """KSP distances should support dtype='int64' to avoid float rounding.""" - big = np.int64(2**53 + 1) - src = np.array([0, 1], dtype=np.int32) - dst = np.array([1, 2], dtype=np.int32) - cap = np.array([1.0, 1.0], dtype=np.float64) - cost = np.array([big, big], dtype=np.int64) - g = _make_graph(3, src, dst, cap, cost) - try: - items = algs.ksp(algs.build_graph(g), 0, 2, k=1, dtype="int64") - except TypeError: - pytest.skip("Algorithms.ksp does not support dtype= argument yet") - else: - assert len(items) >= 1 - dist_i64, _ = items[0] - dist_i64 = np.asarray(dist_i64) - assert dist_i64.dtype == np.int64 - assert int(dist_i64[2]) == int(big + big) - - -def test_max_flow_zero_capacity_on_shortest_path_equal_balanced(algs, to_handle): - """EqualBalanced with require_capacity=False returns 0 when shortest path has no capacity. - - With require_capacity=False (true IP/IGP semantics), routing is cost-only. - If the shortest path has a zero-capacity edge, no flow can be placed. - - Topology: - Shortest path: 0->1->2 (cost 2, but 0->1 has cap=0) - Longer path: 0->3->2 (cost 4, cap=100) - """ - src = np.array([0, 1, 0, 3], dtype=np.int32) - dst = np.array([1, 2, 3, 2], dtype=np.int32) - cap = np.array( - [0.0, 10.0, 100.0, 100.0], dtype=np.float64 - ) # 0->1 has zero capacity - cost = np.array([1, 1, 2, 2], dtype=np.int64) - g = _make_graph(4, src, dst, cap, cost) - - # Test with EqualBalanced + require_capacity=False + shortest_path=True - total, summary = algs.max_flow( - to_handle(g), - 0, - 2, - flow_placement=ngc.FlowPlacement.EQUAL_BALANCED, - shortest_path=True, - require_capacity=False, - with_edge_flows=True, - ) - - # Should return 0 because the shortest path (cost 2) has no capacity - assert np.isclose(total, 0.0), ( - f"Expected 0 flow when shortest path has zero capacity, got {total}" - ) - - # Verify no edge flows were placed - edge_flows = np.asarray(summary.edge_flows) - assert np.allclose(edge_flows, 0.0), f"Expected no edge flows, got {edge_flows}" - - -def test_max_flow_zero_capacity_on_shortest_path_proportional(algs, to_handle): - """Proportional with require_capacity=False returns 0 when shortest path has no capacity. - - With require_capacity=False, if the shortest path has a zero-capacity edge, - no flow can be placed. Both placements behave consistently. - """ - src = np.array([0, 1, 0, 3], dtype=np.int32) - dst = np.array([1, 2, 3, 2], dtype=np.int32) - cap = np.array([0.0, 10.0, 100.0, 100.0], dtype=np.float64) - cost = np.array([1, 1, 2, 2], dtype=np.int64) - g = _make_graph(4, src, dst, cap, cost) - - total, summary = algs.max_flow( - to_handle(g), - 0, - 2, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=True, - require_capacity=False, - with_edge_flows=True, - ) - - assert np.isclose(total, 0.0), ( - f"Expected 0 flow when shortest path has zero capacity, got {total}" - ) - - -def test_max_flow_require_capacity_true_finds_alternative(algs, to_handle): - """With require_capacity=True, max_flow should find an alternative path with capacity. - - This is the contrast test: when require_capacity=True, the algorithm should - skip the zero-capacity edge and find the longer path that has capacity. - """ - src = np.array([0, 1, 0, 3], dtype=np.int32) - dst = np.array([1, 2, 3, 2], dtype=np.int32) - cap = np.array([0.0, 10.0, 100.0, 100.0], dtype=np.float64) - cost = np.array([1, 1, 2, 2], dtype=np.int64) - g = _make_graph(4, src, dst, cap, cost) - - total, summary = algs.max_flow( - to_handle(g), - 0, - 2, - flow_placement=ngc.FlowPlacement.EQUAL_BALANCED, - shortest_path=True, - require_capacity=True, # This should skip zero-capacity edges - with_edge_flows=True, - ) - - # Should find the longer path 0->3->2 and place 100 flow - assert np.isclose(total, 100.0), ( - f"Expected 100 flow via alternative path, got {total}" - ) diff --git a/tests/py/test_equal_balanced_modes.py b/tests/py/test_equal_balanced_modes.py deleted file mode 100644 index c186271..0000000 --- a/tests/py/test_equal_balanced_modes.py +++ /dev/null @@ -1,218 +0,0 @@ -"""EQUAL_BALANCED and EQUAL_BALANCED_LOSSY placement semantics. - -Both model a hop-by-hop forwarding table that does not react to load: the -split set is every shortest-path edge with capacity. EQUAL_BALANCED admits -losslessly (a full member blocks admission on that DAG), EQUAL_BALANCED_LOSSY -forwards best-effort (each member carries what it can and the rest is dropped). -""" - -from __future__ import annotations - -import numpy as np -import pytest - -import netgraph_core as ngc - - -def _graph(src, dst, cap, cost, n): - return ngc.StrictMultiDiGraph.from_arrays( - num_nodes=n, - src=np.array(src, dtype=np.int32), - dst=np.array(dst, dtype=np.int32), - capacity=np.array(cap, dtype=np.float64), - cost=np.array(cost, dtype=np.int64), - ext_edge_ids=np.arange(len(src), dtype=np.int64), - ) - - -SEL = ngc.EdgeSelection( - multi_edge=True, require_capacity=False, tie_break=ngc.EdgeTieBreak.DETERMINISTIC -) - - -@pytest.fixture -def pair(): - """0 -> 1 over two equal-cost parallel edges: edge 0 cap 10, edge 1 cap 100.""" - g = _graph([0, 0], [1, 1], [10.0, 100.0], [1, 1], 2) - algs = ngc.Algorithms(ngc.Backend.cpu()) - handle = algs.build_graph(g) - _, dag = algs.spf( - handle, src=0, dst=None, selection=SEL, multipath=True, dtype="float64" - ) - return g, algs, handle, dag - - -def test_enum_members(): - assert set(ngc.FlowPlacement.__members__) == { - "PROPORTIONAL", - "EQUAL_BALANCED", - "EQUAL_BALANCED_LOSSY", - } - - -def test_full_member_blocks_admission_on_the_same_dag(pair): - g, _, _, dag = pair - fg = ngc.FlowGraph(g) - assert fg.place( - ngc.FlowIndex(0, 1, 0, 0), 0, 1, dag, 20.0, ngc.FlowPlacement.EQUAL_BALANCED - ) == pytest.approx(20.0) - assert fg.place( - ngc.FlowIndex(0, 1, 0, 1), 0, 1, dag, 10.0, ngc.FlowPlacement.EQUAL_BALANCED - ) == pytest.approx(0.0) - assert fg.edge_flow_view()[1] == pytest.approx(10.0) - - -def test_progress_comes_from_a_residual_aware_dag(pair): - g, algs, handle, dag = pair - fg = ngc.FlowGraph(g) - assert fg.place( - ngc.FlowIndex(0, 1, 0, 0), 0, 1, dag, 20.0, ngc.FlowPlacement.EQUAL_BALANCED - ) == pytest.approx(20.0) - residual = np.ascontiguousarray(fg.residual_view(), dtype=np.float64) - _, fresh = algs.spf( - handle, - src=0, - dst=None, - selection=SEL, - residual=residual, - multipath=True, - dtype="float64", - ) - assert fg.place( - ngc.FlowIndex(0, 1, 0, 1), 0, 1, fresh, 10.0, ngc.FlowPlacement.EQUAL_BALANCED - ) == pytest.approx(10.0) - assert fg.edge_flow_view()[1] == pytest.approx(20.0) - - -def test_cost_only_max_flow_is_single_pass(pair): - """place_max_flow with require_capacity=False never re-places on the stale DAG.""" - g, _, _, _ = pair - fs = ngc.FlowState(g) - total = fs.place_max_flow( - 0, - 1, - flow_placement=ngc.FlowPlacement.EQUAL_BALANCED, - shortest_path=False, - require_capacity=False, - ) - assert total == pytest.approx(20.0) - - -def test_lossy_delivers_and_reports_drops(pair): - g, _, _, dag = pair - fg = ngc.FlowGraph(g) - placed, drops = fg.place_with_drops( - ngc.FlowIndex(0, 1, 0, 0), - 0, - 1, - dag, - 100.0, - ngc.FlowPlacement.EQUAL_BALANCED_LOSSY, - ) - assert placed == pytest.approx(60.0) - assert drops == [(0, pytest.approx(40.0))] - assert fg.edge_flow_view().tolist() == pytest.approx([10.0, 50.0]) - placed2, drops2 = fg.place_with_drops( - ngc.FlowIndex(0, 1, 0, 1), - 0, - 1, - dag, - 10.0, - ngc.FlowPlacement.EQUAL_BALANCED_LOSSY, - ) - assert placed2 == pytest.approx(5.0) - assert drops2 == [(0, pytest.approx(5.0))] - - -def test_place_with_drops_is_empty_for_other_modes(pair): - g, _, _, dag = pair - fg = ngc.FlowGraph(g) - placed, drops = fg.place_with_drops( - ngc.FlowIndex(0, 1, 0, 0), 0, 1, dag, 100.0, ngc.FlowPlacement.EQUAL_BALANCED - ) - assert placed == pytest.approx(20.0) - assert drops == [] - - -def test_lossy_ledger_holds_carried_volume_only(pair): - g, _, _, dag = pair - fg = ngc.FlowGraph(g) - idx = ngc.FlowIndex(0, 1, 0, 3) - placed, _ = fg.place_with_drops( - idx, 0, 1, dag, 100.0, ngc.FlowPlacement.EQUAL_BALANCED_LOSSY - ) - assert sum(a for _, a in fg.get_flow_edges(idx)) == pytest.approx(placed) - fg.remove(idx) - assert fg.residual_view().tolist() == pytest.approx([10.0, 100.0]) - - -def test_cost_only_flow_policy_does_not_reroute_around_saturation(): - """require_capacity=False must route on cost alone, even with an EB per-flow target. - - A -> B direct (cap 10, cost 1); A -> C -> B (cap 100, cost 5 + 5). - """ - g = _graph([0, 0, 2], [1, 2, 1], [10.0, 100.0, 100.0], [1, 5, 5], 3) - algs = ngc.Algorithms(ngc.Backend.cpu()) - handle = algs.build_graph(g) - - cfg = ngc.FlowPolicyConfig() - cfg.path_alg = ngc.PathAlg.SPF - cfg.flow_placement = ngc.FlowPlacement.EQUAL_BALANCED - cfg.selection = SEL - cfg.require_capacity = False - cfg.shortest_path = True - cfg.min_flow_count = 1 - cfg.max_flow_count = 1 - - fg = ngc.FlowGraph(g) - _, dag = algs.spf( - handle, src=0, dst=None, selection=SEL, multipath=True, dtype="float64" - ) - assert fg.place( - ngc.FlowIndex(0, 1, 9, 0), 0, 1, dag, 10.0, ngc.FlowPlacement.EQUAL_BALANCED - ) == pytest.approx(10.0) - - policy = ngc.FlowPolicy(algs, handle, cfg) - placed, remaining = policy.place_demand(fg, 0, 1, 0, 50.0) - assert placed == pytest.approx(0.0), ( - "cost-only routing must not discover the A->C->B detour" - ) - assert remaining == pytest.approx(50.0) - assert all(float(v[2]) == 1.0 for v in policy.flows.values()) - - -def test_lossy_static_paths_carry_what_fits_without_equalizing(): - """Pinned routes under EQUAL_BALANCED_LOSSY: each LSP is offered its share - and delivers what fits. A -> B direct cap 10 (edge 0); A -> C -> B cap 100 - (edges 1, 2). Demand 50 over both routes: 25 offered each, 10 + 25 = 35. - """ - g = _graph([0, 0, 2], [1, 2, 1], [10.0, 100.0, 100.0], [1, 1, 1], 3) - algs = ngc.Algorithms(ngc.Backend.cpu()) - handle = algs.build_graph(g) - bundles = [ngc.PredDAG.from_edges(g, [0]), ngc.PredDAG.from_edges(g, [1, 2])] - - def policy(placement): - cfg = ngc.FlowPolicyConfig() - cfg.path_alg = ngc.PathAlg.SPF - cfg.flow_placement = placement - cfg.selection = SEL - cfg.require_capacity = False - cfg.min_flow_count = 1 - cfg.max_flow_count = 2 - p = ngc.FlowPolicy(algs, handle, cfg) - p.set_static_paths(0, 1, bundles) - return p - - fg = ngc.FlowGraph(g) - placed, remaining = policy(ngc.FlowPlacement.EQUAL_BALANCED_LOSSY).place_demand( - fg, 0, 1, 0, 50.0 - ) - assert placed == pytest.approx(35.0) - assert remaining == pytest.approx(15.0) - assert fg.edge_flow_view().tolist() == pytest.approx([10.0, 25.0, 25.0]) - - fg = ngc.FlowGraph(g) - placed, _ = policy(ngc.FlowPlacement.EQUAL_BALANCED).place_demand(fg, 0, 1, 0, 50.0) - assert placed == pytest.approx(20.0, abs=1e-3), ( - "lossless: equal carried share, bottleneck 10" - ) diff --git a/tests/py/test_ext_edge_ids.py b/tests/py/test_ext_edge_ids.py deleted file mode 100644 index 83bbe88..0000000 --- a/tests/py/test_ext_edge_ids.py +++ /dev/null @@ -1,142 +0,0 @@ -"""Tests for external edge ID preservation in StrictMultiDiGraph.""" - -import numpy as np - -import netgraph_core - - -def test_ext_edge_ids_without_reverse(): - """Test that external edge IDs are preserved through reordering.""" - # Create edges in non-sorted order to trigger reordering - num_nodes = 4 - src = np.array([2, 0, 1, 0], dtype=np.int32) - dst = np.array([3, 1, 2, 2], dtype=np.int32) - capacity = np.array([10.0, 20.0, 15.0, 25.0], dtype=np.float64) - cost = np.array([5, 1, 3, 1], dtype=np.int64) - ext_edge_ids = np.array([1000, 2000, 3000, 4000], dtype=np.int64) - - g = netgraph_core.StrictMultiDiGraph.from_arrays( - num_nodes=num_nodes, - src=src, - dst=dst, - capacity=capacity, - cost=cost, - ext_edge_ids=ext_edge_ids, - ) - - assert g.num_nodes() == 4 - assert g.num_edges() == 4 - - # Get reordered data - src_view = g.edge_src_view() - dst_view = g.edge_dst_view() - cost_view = g.cost_view() - ext_ids_view = g.ext_edge_ids_view() - - # Core sorts by (cost, src, dst), so expected order: - # (0→1, cost=1, ext_id=2000) - # (0→2, cost=1, ext_id=4000) - # (1→2, cost=3, ext_id=3000) - # (2→3, cost=5, ext_id=1000) - expected_order = [ - (0, 1, 1, 2000), - (0, 2, 1, 4000), - (1, 2, 3, 3000), - (2, 3, 5, 1000), - ] - - for i, (exp_src, exp_dst, exp_cost, exp_ext_id) in enumerate(expected_order): - assert src_view[i] == exp_src - assert dst_view[i] == exp_dst - assert cost_view[i] == exp_cost - assert ext_ids_view[i] == exp_ext_id - - -def test_ext_edge_ids_with_manual_reverse(): - """Test ext_edge_ids when reverse edges are manually added with distinct IDs.""" - num_nodes = 3 - - # Manually add forward and reverse edges with distinct ext_edge_ids - src = np.array([0, 1, 1, 2], dtype=np.int32) # fwd0, rev0, fwd1, rev1 - dst = np.array([1, 0, 2, 1], dtype=np.int32) - capacity = np.array([10.0, 10.0, 20.0, 20.0], dtype=np.float64) - cost = np.array([1, 1, 2, 2], dtype=np.int64) - ext_edge_ids = np.array([0, 1, 2, 3], dtype=np.int64) # Distinct for fwd/rev - - g = netgraph_core.StrictMultiDiGraph.from_arrays( - num_nodes=num_nodes, - src=src, - dst=dst, - capacity=capacity, - cost=cost, - ext_edge_ids=ext_edge_ids, - ) - - assert g.num_edges() == 4 - - ext_ids_view = g.ext_edge_ids_view() - src_view = g.edge_src_view() - dst_view = g.edge_dst_view() - - # Verify all ext_edge_ids are distinct - assert len(set(ext_ids_view)) == 4, "ext_edge_ids should all be distinct" - - # Verify we can distinguish forward from reverse - # In sorted order by cost, src, dst: - # (0→1, cost=1, ext_id=0), (1→0, cost=1, ext_id=1), (1→2, cost=2, ext_id=2), (2→1, cost=2, ext_id=3) - expected = [(0, 1, 0), (1, 0, 1), (1, 2, 2), (2, 1, 3)] - for i, (exp_src, exp_dst, exp_ext_id) in enumerate(expected): - assert src_view[i] == exp_src - assert dst_view[i] == exp_dst - assert ext_ids_view[i] == exp_ext_id - - -def test_ext_edge_ids_encoding_scheme(): - """Test a typical encoding scheme: (linkIndex << 1) | directionBit.""" - num_nodes = 3 - - # Simulate two links with forward/reverse encoding - # Link 0: fwd=(0<<1)|0=0, rev=(0<<1)|1=1 - # Link 1: fwd=(1<<1)|0=2, rev=(1<<1)|1=3 - src = np.array([0, 1, 1, 2], dtype=np.int32) - dst = np.array([1, 0, 2, 1], dtype=np.int32) - capacity = np.array([10.0, 10.0, 20.0, 20.0], dtype=np.float64) - cost = np.array([1, 1, 1, 1], dtype=np.int64) - ext_edge_ids = np.array([0, 1, 2, 3], dtype=np.int64) - - g = netgraph_core.StrictMultiDiGraph.from_arrays( - num_nodes=num_nodes, - src=src, - dst=dst, - capacity=capacity, - cost=cost, - ext_edge_ids=ext_edge_ids, - ) - - ext_ids_view = g.ext_edge_ids_view() - src_view = g.edge_src_view() - dst_view = g.edge_dst_view() - - # Decode ext_edge_ids back to (linkIndex, directionBit) - for i in range(len(ext_ids_view)): - ext_id = int(ext_ids_view[i]) - link_idx = ext_id >> 1 - dir_bit = ext_id & 1 - direction = "rev" if dir_bit else "fwd" - - # Verify encoding is consistent - assert link_idx in (0, 1), f"Invalid link_idx {link_idx}" - assert direction in ("fwd", "rev"), f"Invalid direction {direction}" - - # Verify forward edges have dir_bit=0, reverse have dir_bit=1 - if src_view[i] < dst_view[i]: # Assuming forward means src < dst - assert dir_bit == 0, f"Forward edge {i} should have dir_bit=0" - else: - assert dir_bit == 1, f"Reverse edge {i} should have dir_bit=1" - - -if __name__ == "__main__": - test_ext_edge_ids_without_reverse() - test_ext_edge_ids_with_manual_reverse() - test_ext_edge_ids_encoding_scheme() - print("All ext_edge_ids tests passed!") diff --git a/tests/py/test_flow_policy.py b/tests/py/test_flow_policy.py deleted file mode 100644 index 774e903..0000000 --- a/tests/py/test_flow_policy.py +++ /dev/null @@ -1,282 +0,0 @@ -"""FlowPolicy behavior across canonical graphs. - -Systematic checks for PROPORTIONAL vs EQUAL_BALANCED and multipath True/False -on the canonical graphs used elsewhere. Assertions compare total placed and -remaining volumes to expected capacities. -""" - -from __future__ import annotations - -from typing import Dict, Tuple - -import numpy as np -import pytest - -import netgraph_core as ngc - -# Policy configs covered (subset): -# - SHORTEST_PATHS_WCMP -> Proportional split over equal-cost SPF (multipath) -# - SHORTEST_PATHS_ECMP -> Equal-balanced over equal-cost SPF (multipath) -# - TE_ECMP_16_LSP -> Equal-balanced, capacity-aware single-path selection, 16 flows -POLICY_CONFIGS = ( - "SHORTEST_PATHS_WCMP", - "SHORTEST_PATHS_ECMP", - "TE_ECMP_16_LSP", -) - - -def make_policy(config: str, algs: ngc.Algorithms, gh) -> ngc.FlowPolicy: - if config == "SHORTEST_PATHS_WCMP": - sel = ngc.EdgeSelection( - multi_edge=True, - require_capacity=True, - tie_break=ngc.EdgeTieBreak.DETERMINISTIC, - ) - cfg = ngc.FlowPolicyConfig( - path_alg=ngc.PathAlg.SPF, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - selection=sel, - shortest_path=True, - ) - return ngc.FlowPolicy(algs, gh, cfg) - if config == "SHORTEST_PATHS_ECMP": - sel = ngc.EdgeSelection( - multi_edge=True, - require_capacity=True, - tie_break=ngc.EdgeTieBreak.DETERMINISTIC, - ) - cfg = ngc.FlowPolicyConfig( - path_alg=ngc.PathAlg.SPF, - flow_placement=ngc.FlowPlacement.EQUAL_BALANCED, - selection=sel, - shortest_path=True, - max_flow_count=1, - ) - return ngc.FlowPolicy(algs, gh, cfg) - if config == "TE_ECMP_16_LSP": - sel = ngc.EdgeSelection( - multi_edge=False, - require_capacity=True, - tie_break=ngc.EdgeTieBreak.PREFER_HIGHER_RESIDUAL, - ) - cfg = ngc.FlowPolicyConfig( - path_alg=ngc.PathAlg.SPF, - flow_placement=ngc.FlowPlacement.EQUAL_BALANCED, - selection=sel, - min_flow_count=16, - max_flow_count=16, - reoptimize_flows_on_each_placement=True, - # TE placement should not stop early due to tiny increments - # to ensure full utilization - ) - return ngc.FlowPolicy(algs, gh, cfg) - raise AssertionError(f"Unknown config {config}") - - -# Demands per graph -EXPECTED: Dict[str, Tuple[Tuple[int, int], float]] = { - # key: graph fixture name; value: ((src,dst), demand) - "square1_graph": ((0, 2), 3.0), # total cap 3 - "line1_graph": ((0, 2), 7.0), # total cap limited by 0->1 = 5 - "graph3": ((0, 2), 10.0), # total cap 10 - "two_disjoint_shortest_graph": ((0, 3), 3.0), # total cap 3 - "square4_graph": ((0, 1), 350.0), # total cap 350 - "triangle1_graph": ((0, 2), 5.0), # A->C direct cap 5, cheaper detours huge - "square3_graph": ((0, 2), 320.0), # large demand to exercise tiers - "graph1_graph": ((0, 4), 1.0), - "graph2_graph": ((0, 4), 1.0), - "graph4_graph": ((0, 4), 6.0), -} - - -def _run_case( - g: ngc.StrictMultiDiGraph, - label: str, - src: int, - dst: int, - demand: float, - algs: ngc.Algorithms, - to_handle, -): - for key in POLICY_CONFIGS: - fg = ngc.FlowGraph(g) - policy = make_policy(key, algs, to_handle(g)) - placed, remaining = policy.place_demand( - fg, src, dst, flowClass=0, volume=demand - ) - - if key == "SHORTEST_PATHS_WCMP": - exp_total, _ = algs.max_flow( - to_handle(g), - src, - dst, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=True, - ) - expected = float(exp_total) - assert placed == pytest.approx(expected, rel=0, abs=1e-3), ( - f"placed mismatch for {label}:{key}: got {placed}, expected ~{expected}" - ) - assert remaining == pytest.approx(demand - expected, rel=0, abs=1e-3), ( - f"remaining mismatch for {label}:{key}: got {remaining}, expected ~{demand - expected}" - ) - - # Check optimality - if placed > 0 and demand >= expected: - assert placed >= expected * 0.99, ( - f"placed {placed} is less than 99% of max_flow {expected} " - f"for {label}:{key}" - ) - - elif key == "SHORTEST_PATHS_ECMP": - exp_total, _ = algs.max_flow( - to_handle(g), - src, - dst, - flow_placement=ngc.FlowPlacement.EQUAL_BALANCED, - shortest_path=True, - ) - expected = float(exp_total) - assert placed == pytest.approx(expected, rel=0, abs=1e-3), ( - f"placed mismatch for {label}:{key}: got {placed}, expected ~{expected}" - ) - assert remaining == pytest.approx(demand - expected, rel=0, abs=1e-3), ( - f"remaining mismatch for {label}:{key}: got {remaining}, expected ~{demand - expected}" - ) - - # Verify ECMP equal balancing - if placed > 0: - flows = policy.flows - volumes = [v[3] for v in flows.values()] - if len(volumes) > 1: - for vol in volumes: - assert vol == pytest.approx(volumes[0], abs=1e-3), ( - f"ECMP violation for {label}:{key}: " - f"volumes not equal: {volumes}" - ) - - elif key == "TE_ECMP_16_LSP": - # TE-like full mode: placement should not exceed max_flow, and accounting must hold - exp_total, _ = algs.max_flow( - to_handle(g), - src, - dst, - flow_placement=ngc.FlowPlacement.EQUAL_BALANCED, - shortest_path=False, - ) - expected = float(exp_total) - assert placed <= expected + 1e-3, ( - f"placed exceeds max_flow for {label}:{key}: got {placed}, max {expected}" - ) - assert (placed + remaining) == pytest.approx(demand, rel=0, abs=1e-6), ( - f"accounting mismatch for {label}:{key}: placed+remaining={placed + remaining}, demand={demand}" - ) - - # Verify flow count - flow_count = policy.flow_count() - assert flow_count == 16 or flow_count == 0, ( - f"TE_ECMP_16_LSP should create exactly 16 flows (or 0 if no path), " - f"got {flow_count} for {label}:{key}" - ) - - # Verify ECMP balancing - if placed > 0 and flow_count > 0: - flows = policy.flows - volumes = [v[3] for v in flows.values()] - if len(volumes) > 1: - for vol in volumes: - assert vol == pytest.approx(volumes[0], abs=1e-3), ( - f"TE ECMP violation for {label}:{key}: " - f"LSPs not equal: {volumes}" - ) - else: - raise AssertionError(f"Unknown policy key {key}") - - -@pytest.mark.parametrize( - "fixture_name", - [ - "square1_graph", - "line1_graph", - "graph3", - "two_disjoint_shortest_graph", - "square4_graph", - "triangle1_graph", - "square3_graph", - "graph1_graph", - "graph2_graph", - "graph4_graph", - ], -) -def test_policy_placement_modes_match_maxflow_reference( - fixture_name, algs, to_handle, request -): - """Validates that FlowPolicy placement matches max_flow for various configurations. - - Tests PROPORTIONAL vs EQUAL_BALANCED vs TE_ECMP across different topologies, - ensuring placed+remaining accounting is correct and results match max_flow reference. - """ - g = request.getfixturevalue(fixture_name) - (src, dst), dem = EXPECTED[fixture_name] - _run_case(g, fixture_name, src, dst, dem, algs, to_handle) - - -def test_flow_costs_match_expected(algs, to_handle): - """Verify reported costs match known path costs on simple topologies.""" - # Simple 3-node chain: 0 -> 1 -> 2 - # Edge 0->1: cost 10 - # Edge 1->2: cost 20 - # Expected path cost: 30 - g = ngc.StrictMultiDiGraph.from_arrays( - 3, - np.array([0, 1], dtype=np.int32), - np.array([1, 2], dtype=np.int32), - np.array([100.0, 100.0], dtype=np.float64), - np.array([10, 20], dtype=np.int64), - np.array([0, 1], dtype=np.int64), - ) - - fg = ngc.FlowGraph(g) - config = ngc.FlowPolicyConfig() - config.multipath = False - policy = ngc.FlowPolicy(algs, to_handle(g), config) - - placed, _ = policy.place_demand(fg, 0, 2, flowClass=0, volume=50.0) - - assert placed > 0, "Should place flow on simple chain" - assert len(policy.flows) == 1, "Should create exactly one flow" - - # Check reported cost - flow_info = list(policy.flows.values())[0] - src, dst, cost, volume = flow_info - - assert cost == 30, f"Cost should be 30 (10+20), got {cost}" - - # Test with parallel edges of different costs - # 0 -> 1 (cost 5) - # 1 -> 2 via edge A (cost 10) or edge B (cost 20) - # Shortest path: 0->1->2A, cost = 15 - g2 = ngc.StrictMultiDiGraph.from_arrays( - 3, - np.array([0, 1, 1], dtype=np.int32), - np.array([1, 2, 2], dtype=np.int32), - np.array([100.0, 100.0, 100.0], dtype=np.float64), - np.array([5, 10, 20], dtype=np.int64), - np.array([0, 1, 2], dtype=np.int64), - ) - - fg2 = ngc.FlowGraph(g2) - config2 = ngc.FlowPolicyConfig() - config2.multipath = False - config2.shortest_path = True - policy2 = ngc.FlowPolicy(algs, to_handle(g2), config2) - - placed2, _ = policy2.place_demand(fg2, 0, 2, flowClass=0, volume=50.0) - - assert placed2 > 0, "Should place flow" - - # Check cost is shortest path cost - flow_info2 = list(policy2.flows.values())[0] - cost2 = flow_info2[2] - - assert cost2 == 15, f"Cost should be 15 (5+10), got {cost2}" diff --git a/tests/py/test_flow_policy_configurations.py b/tests/py/test_flow_policy_configurations.py deleted file mode 100644 index 2b61855..0000000 --- a/tests/py/test_flow_policy_configurations.py +++ /dev/null @@ -1,513 +0,0 @@ -"""FlowPolicy tests across canonical configurations. - -Tests 5 canonical configurations: -- SHORTEST_PATHS_ECMP: IP/IGP ECMP (hash-based multipath, shortest paths only) -- SHORTEST_PATHS_WCMP: IP/IGP WCMP (proportional multipath, shortest paths only) -- TE_WCMP_UNLIM: Traffic engineering with unlimited proportional flows -- TE_ECMP_UP_TO_256_LSP: TE with up to 256 ECMP LSPs (tunnel-based) -- TE_ECMP_16_LSP: TE with exactly 16 ECMP LSPs (fixed allocation) - -Validates: -- Accounting: placed + remaining = demand -- Capacity constraints: TE configurations respect max_flow -- Flow count enforcement: min/max flow counts -- Balancing: ECMP equal, WCMP proportional -- Cost distribution: volumes sum correctly -- Progressive TE: uses multiple cost tiers when needed -- Lifecycle: remove_demand, rebalance -""" - -from __future__ import annotations - -from typing import Dict, List, Tuple - -import pytest - -import netgraph_core as ngc - -# All canonical configurations to test -ALL_CONFIGS = [ - "SHORTEST_PATHS_ECMP", - "SHORTEST_PATHS_WCMP", - "TE_WCMP_UNLIM", - "TE_ECMP_UP_TO_256_LSP", - "TE_ECMP_16_LSP", -] - -ECMP_CONFIGS = ["SHORTEST_PATHS_ECMP", "TE_ECMP_UP_TO_256_LSP", "TE_ECMP_16_LSP"] -WCMP_CONFIGS = ["SHORTEST_PATHS_WCMP", "TE_WCMP_UNLIM"] -CAPACITY_AWARE_CONFIGS = ["TE_WCMP_UNLIM", "TE_ECMP_UP_TO_256_LSP", "TE_ECMP_16_LSP"] -TE_CONFIGS = ["TE_WCMP_UNLIM", "TE_ECMP_UP_TO_256_LSP", "TE_ECMP_16_LSP"] - - -def get_expected_flow_count(config_name: str) -> Tuple[int, int | None]: - """Return (min_expected, max_expected) flow count for a configuration.""" - if config_name in ["SHORTEST_PATHS_ECMP", "SHORTEST_PATHS_WCMP"]: - return (1, 1) - elif config_name == "TE_WCMP_UNLIM": - return (1, None) # Unlimited - elif config_name == "TE_ECMP_UP_TO_256_LSP": - return (1, 256) - elif config_name == "TE_ECMP_16_LSP": - return (16, 16) - raise ValueError(f"Unknown configuration: {config_name}") - - -def extract_cost_distribution(policy: ngc.FlowPolicy) -> Dict[float, float]: - """Extract cost distribution from policy.flows dictionary.""" - cost_dist = {} - for _key, value in policy.flows.items(): - # value is tuple: (src, dst, cost, volume) - cost = float(value[2]) - volume = float(value[3]) - cost_dist[cost] = cost_dist.get(cost, 0.0) + volume - return cost_dist - - -def check_equal_balancing(volumes: List[float], tolerance: float = 1e-3) -> bool: - """Check if all volumes are approximately equal.""" - if not volumes or len(volumes) == 1: - return True - avg = sum(volumes) / len(volumes) - # Use both absolute and relative tolerance for robustness - return all( - abs(v - avg) < tolerance or (abs(v - avg) / avg < 1e-6 if avg > 0 else False) - for v in volumes - ) - - -# ============================================================================ -# FIXTURES -# ============================================================================ - - -@pytest.fixture -def multi_path_graph(build_graph): - """4 parallel paths with equal cost but different capacities.""" - # S=0, T=5 - # Path 1: 0->1->5, cost=10, cap=100 - # Path 2: 0->2->5, cost=10, cap=80 - # Path 3: 0->3->5, cost=10, cap=60 - # Path 4: 0->4->5, cost=10, cap=40 - edges = [ - (0, 1, 5, 100, 0), - (1, 5, 5, 100, 1), - (0, 2, 5, 80, 2), - (2, 5, 5, 80, 3), - (0, 3, 5, 60, 4), - (3, 5, 5, 60, 5), - (0, 4, 5, 40, 6), - (4, 5, 5, 40, 7), - ] - return build_graph(6, edges) - - -@pytest.fixture -def multi_tier_graph(build_graph): - """3 cost tiers with different capacities.""" - # S=0, T=4 - # Tier 1: cost=10, cap=50 (0->1->4) - # Tier 2: cost=15, cap=75 (0->2->4) - # Tier 3: cost=20, cap=100 (0->3->4) - edges = [ - (0, 1, 5, 50, 0), - (1, 4, 5, 50, 1), - (0, 2, 7, 75, 2), - (2, 4, 8, 75, 3), - (0, 3, 10, 100, 4), - (3, 4, 10, 100, 5), - ] - return build_graph(5, edges) - - -# ============================================================================ -# TEST 1: ACCOUNTING VALIDATION -# ============================================================================ - - -@pytest.mark.parametrize("config_name", ALL_CONFIGS) -def test_accounting_correctness( - config_name, multi_path_graph, algs, to_handle, make_flow_policy -): - """Verify placed + remaining = demand for all configurations.""" - g = multi_path_graph - fg = ngc.FlowGraph(g) - policy = make_flow_policy(config_name, algs, to_handle(g)) - - demand = 200.0 - placed, remaining = policy.place_demand(fg, 0, 5, flowClass=0, volume=demand) - - assert placed + remaining == pytest.approx(demand, rel=0, abs=1e-6), ( - f"{config_name}: placed({placed}) + remaining({remaining}) != demand({demand})" - ) - - -# ============================================================================ -# TEST 2: CAPACITY CONSTRAINTS -# ============================================================================ - - -@pytest.mark.parametrize("config_name", CAPACITY_AWARE_CONFIGS) -def test_capacity_aware_respects_max_flow( - config_name, multi_path_graph, algs, to_handle, make_flow_policy -): - """Verify capacity-aware configurations don't exceed max_flow.""" - g = multi_path_graph - fg = ngc.FlowGraph(g) - - # Calculate max flow - max_flow, _ = algs.max_flow( - to_handle(g), - 0, - 5, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=False, - with_edge_flows=False, - ) - - policy = make_flow_policy(config_name, algs, to_handle(g)) - placed, _ = policy.place_demand(fg, 0, 5, flowClass=0, volume=1000.0) - - assert placed <= float(max_flow) + 1e-3, ( - f"{config_name}: placed({placed}) exceeds max_flow({max_flow})" - ) - - -# ============================================================================ -# TEST 3: FLOW COUNT VALIDATION -# ============================================================================ - - -@pytest.mark.parametrize("config_name", ALL_CONFIGS) -def test_flow_count_enforcement( - config_name, multi_path_graph, algs, to_handle, make_flow_policy -): - """Verify each configuration creates the expected number of flows.""" - g = multi_path_graph - fg = ngc.FlowGraph(g) - policy = make_flow_policy(config_name, algs, to_handle(g)) - - placed, _ = policy.place_demand(fg, 0, 5, flowClass=0, volume=200.0) - flow_count = policy.flow_count() - - min_exp, max_exp = get_expected_flow_count(config_name) - - assert flow_count >= min_exp, ( - f"{config_name}: flow_count({flow_count}) < min_expected({min_exp})" - ) - - if max_exp is not None: - assert flow_count <= max_exp, ( - f"{config_name}: flow_count({flow_count}) > max_expected({max_exp})" - ) - - # Specific checks for fixed-count configurations - if config_name == "TE_ECMP_16_LSP": - assert flow_count == 16, ( - f"{config_name}: expected exactly 16 flows, got {flow_count}" - ) - elif config_name in ["SHORTEST_PATHS_ECMP", "SHORTEST_PATHS_WCMP"]: - assert flow_count == 1, ( - f"{config_name}: expected exactly 1 flow, got {flow_count}" - ) - - -# ============================================================================ -# TEST 4: EQUAL BALANCING (ECMP) -# ============================================================================ - - -@pytest.mark.parametrize("config_name", ECMP_CONFIGS) -def test_ecmp_equal_balancing( - config_name, multi_path_graph, algs, to_handle, make_flow_policy -): - """Verify ECMP configurations split flows equally.""" - g = multi_path_graph - fg = ngc.FlowGraph(g) - policy = make_flow_policy(config_name, algs, to_handle(g)) - - placed, _ = policy.place_demand(fg, 0, 5, flowClass=0, volume=200.0) - - if placed == 0: - pytest.skip("No flow placed, cannot check balancing") - - flows = policy.flows - volumes = [v[3] for v in flows.values()] - - assert check_equal_balancing(volumes, tolerance=1e-3), ( - f"{config_name}: flows not equally balanced. Volumes: {volumes}" - ) - - -# ============================================================================ -# TEST 5: PROPORTIONAL BALANCING (WCMP) -# ============================================================================ - - -@pytest.mark.parametrize("config_name", WCMP_CONFIGS) -def test_wcmp_proportional_balancing( - config_name, multi_path_graph, algs, to_handle, make_flow_policy -): - """Verify WCMP configurations split flows proportionally.""" - g = multi_path_graph - fg = ngc.FlowGraph(g) - policy = make_flow_policy(config_name, algs, to_handle(g)) - - placed, _ = policy.place_demand(fg, 0, 5, flowClass=0, volume=200.0) - - if placed == 0: - pytest.skip("No flow placed, cannot check balancing") - - flows = policy.flows - volumes = [v[3] for v in flows.values()] - - # Verify total is correct - assert abs(sum(volumes) - placed) < 1e-6, ( - f"{config_name}: sum of flow volumes doesn't match placed" - ) - - -# ============================================================================ -# TEST 6: COST DISTRIBUTION -# ============================================================================ - - -@pytest.mark.parametrize("config_name", ALL_CONFIGS) -def test_cost_distribution_sums_correctly( - config_name, multi_path_graph, algs, to_handle, make_flow_policy -): - """Verify cost distribution volumes sum to total placed volume.""" - g = multi_path_graph - fg = ngc.FlowGraph(g) - policy = make_flow_policy(config_name, algs, to_handle(g)) - - placed, _ = policy.place_demand(fg, 0, 5, flowClass=0, volume=200.0) - - if placed == 0: - pytest.skip("No flow placed, cannot check cost distribution") - - cost_dist = extract_cost_distribution(policy) - total_from_costs = sum(cost_dist.values()) - - assert abs(total_from_costs - placed) < 1e-6, ( - f"{config_name}: sum of cost_distribution ({total_from_costs}) != placed ({placed})" - ) - - -# ============================================================================ -# TEST 7: PROGRESSIVE TE USES MULTIPLE TIERS -# ============================================================================ - - -@pytest.mark.parametrize("config_name", TE_CONFIGS) -def test_te_uses_multiple_cost_tiers( - config_name, multi_tier_graph, algs, to_handle, make_flow_policy -): - """Verify TE configurations use progressively more expensive paths when needed.""" - g = multi_tier_graph - fg = ngc.FlowGraph(g) - policy = make_flow_policy(config_name, algs, to_handle(g)) - - # Demand exceeds cheapest tier (50), should use tier 2 and 3 - demand = 150.0 - placed, _ = policy.place_demand(fg, 0, 4, flowClass=0, volume=demand) - - cost_dist = extract_cost_distribution(policy) - unique_costs = sorted(cost_dist.keys()) - - # Should have used multiple cost tiers - assert len(unique_costs) >= 2, ( - f"{config_name}: expected multiple cost tiers, got {unique_costs}" - ) - - -# ============================================================================ -# TEST 8: PLACED DEMAND TRACKING -# ============================================================================ - - -@pytest.mark.parametrize("config_name", ALL_CONFIGS) -def test_placed_demand_tracking( - config_name, multi_path_graph, algs, to_handle, make_flow_policy -): - """Verify policy.placed_demand() matches returned placed value.""" - g = multi_path_graph - fg = ngc.FlowGraph(g) - policy = make_flow_policy(config_name, algs, to_handle(g)) - - placed, _ = policy.place_demand(fg, 0, 5, flowClass=0, volume=200.0) - tracked_placed = policy.placed_demand() - - assert abs(placed - tracked_placed) < 1e-9, ( - f"{config_name}: placed({placed}) != policy.placed_demand()({tracked_placed})" - ) - - -# ============================================================================ -# TEST 9: FLOW DICTIONARY STRUCTURE -# ============================================================================ - - -@pytest.mark.parametrize("config_name", ALL_CONFIGS) -def test_flow_dictionary_structure( - config_name, multi_path_graph, algs, to_handle, make_flow_policy -): - """Verify policy.flows has correct structure.""" - g = multi_path_graph - fg = ngc.FlowGraph(g) - policy = make_flow_policy(config_name, algs, to_handle(g)) - - placed, _ = policy.place_demand(fg, 0, 5, flowClass=0, volume=200.0) - - if placed == 0: - pytest.skip("No flow placed") - - flows = policy.flows - - # Check structure - assert isinstance(flows, dict), f"{config_name}: flows is not a dict" - - for key, value in flows.items(): - # Key should be tuple of 4 elements - assert len(key) == 4, f"{config_name}: flow key length != 4" - - # Value should be tuple of 4 elements: (src, dst, cost, volume) - assert len(value) == 4, f"{config_name}: flow value length != 4" - - # src, dst should be ints - assert isinstance(value[0], int), f"{config_name}: src not int" - assert isinstance(value[1], int), f"{config_name}: dst not int" - - # cost, volume should be numeric - assert isinstance(value[2], (int, float)), f"{config_name}: cost not numeric" - assert isinstance(value[3], (int, float)), f"{config_name}: volume not numeric" - - # volume should be positive - assert value[3] >= 0, f"{config_name}: negative volume" - - -# ============================================================================ -# TEST 10: REMOVE DEMAND -# ============================================================================ - - -@pytest.mark.parametrize("config_name", ALL_CONFIGS) -def test_remove_demand_clears_flows( - config_name, multi_path_graph, algs, to_handle, make_flow_policy -): - """Verify removing demand clears all flows.""" - g = multi_path_graph - fg = ngc.FlowGraph(g) - policy = make_flow_policy(config_name, algs, to_handle(g)) - - # Place demand - placed, _ = policy.place_demand(fg, 0, 5, flowClass=0, volume=200.0) - - if placed == 0: - pytest.skip("No flow placed") - - # Remove demand - policy.remove_demand(fg) - - # Verify cleared - assert policy.flow_count() == 0, f"{config_name}: flow_count != 0 after remove" - assert policy.placed_demand() == pytest.approx(0.0, abs=1e-12), ( - f"{config_name}: placed_demand != 0 after remove" - ) - - -# ============================================================================ -# TEST 11: COMPARISON WITH MAX_FLOW REFERENCE -# ============================================================================ - - -# Demands per graph for reference comparison -EXPECTED: Dict[str, Tuple[Tuple[int, int], float]] = { - "square1_graph": ((0, 2), 3.0), - "line1_graph": ((0, 2), 7.0), - "graph3": ((0, 2), 10.0), - "two_disjoint_shortest_graph": ((0, 3), 3.0), - "square4_graph": ((0, 1), 350.0), - "triangle1_graph": ((0, 2), 5.0), - "square3_graph": ((0, 2), 320.0), - "graph1_graph": ((0, 4), 1.0), - "graph2_graph": ((0, 4), 1.0), - "graph4_graph": ((0, 4), 6.0), -} - - -@pytest.mark.parametrize( - "fixture_name", - [ - "square1_graph", - "line1_graph", - "graph3", - "two_disjoint_shortest_graph", - "square4_graph", - "triangle1_graph", - "square3_graph", - "graph1_graph", - "graph2_graph", - "graph4_graph", - ], -) -@pytest.mark.parametrize( - "config_name", ["SHORTEST_PATHS_WCMP", "SHORTEST_PATHS_ECMP", "TE_ECMP_16_LSP"] -) -def test_matches_maxflow_reference( - fixture_name, config_name, algs, to_handle, make_flow_policy, request -): - """Validate that FlowPolicy placement matches max_flow for various configurations.""" - g = request.getfixturevalue(fixture_name) - (src, dst), demand = EXPECTED[fixture_name] - - fg = ngc.FlowGraph(g) - policy = make_flow_policy(config_name, algs, to_handle(g)) - placed, remaining = policy.place_demand(fg, src, dst, flowClass=0, volume=demand) - - # Compute expected using Algorithms.max_flow for corresponding mode - if config_name == "SHORTEST_PATHS_WCMP": - exp_total, _ = algs.max_flow( - to_handle(g), - src, - dst, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=True, - ) - expected = float(exp_total) - assert placed == pytest.approx(expected, rel=0, abs=1e-3), ( - f"placed mismatch for {fixture_name}:{config_name}: got {placed}, expected ~{expected}" - ) - assert remaining == pytest.approx(demand - expected, rel=0, abs=1e-3), ( - f"remaining mismatch for {fixture_name}:{config_name}: got {remaining}, expected ~{demand - expected}" - ) - elif config_name == "SHORTEST_PATHS_ECMP": - exp_total, _ = algs.max_flow( - to_handle(g), - src, - dst, - flow_placement=ngc.FlowPlacement.EQUAL_BALANCED, - shortest_path=True, - ) - expected = float(exp_total) - assert placed == pytest.approx(expected, rel=0, abs=1e-3), ( - f"placed mismatch for {fixture_name}:{config_name}: got {placed}, expected ~{expected}" - ) - assert remaining == pytest.approx(demand - expected, rel=0, abs=1e-3), ( - f"remaining mismatch for {fixture_name}:{config_name}: got {remaining}, expected ~{demand - expected}" - ) - elif config_name == "TE_ECMP_16_LSP": - exp_total, _ = algs.max_flow( - to_handle(g), - src, - dst, - flow_placement=ngc.FlowPlacement.EQUAL_BALANCED, - shortest_path=False, - ) - expected = float(exp_total) - assert placed <= expected + 1e-3, ( - f"placed exceeds max_flow for {fixture_name}:{config_name}: got {placed}, max {expected}" - ) - assert (placed + remaining) == pytest.approx(demand, rel=0, abs=1e-6), ( - f"accounting mismatch for {fixture_name}:{config_name}: placed+remaining={placed + remaining}, demand={demand}" - ) diff --git a/tests/py/test_flow_policy_edge_cases.py b/tests/py/test_flow_policy_edge_cases.py deleted file mode 100644 index ea7262b..0000000 --- a/tests/py/test_flow_policy_edge_cases.py +++ /dev/null @@ -1,408 +0,0 @@ -"""FlowPolicy edge case tests. - -Tests boundary conditions and error handling across canonical configurations. -""" - -from __future__ import annotations - -import pytest - -import netgraph_core as ngc - -# All canonical configurations to test -ALL_CONFIGS = [ - "SHORTEST_PATHS_ECMP", - "SHORTEST_PATHS_WCMP", - "TE_WCMP_UNLIM", - "TE_ECMP_UP_TO_256_LSP", - "TE_ECMP_16_LSP", -] - -CAPACITY_AWARE_CONFIGS = ["TE_WCMP_UNLIM", "TE_ECMP_UP_TO_256_LSP", "TE_ECMP_16_LSP"] -TE_CONFIGS = ["TE_WCMP_UNLIM", "TE_ECMP_UP_TO_256_LSP", "TE_ECMP_16_LSP"] - -# ============================================================================ -# FIXTURES -# ============================================================================ - - -@pytest.fixture -def single_path_graph(build_graph): - """Single linear path: 0 -> 1 -> 2.""" - edges = [ - (0, 1, 5, 100, 0), - (1, 2, 5, 100, 1), - ] - return build_graph(3, edges) - - -@pytest.fixture -def bottleneck_graph(build_graph): - """Linear path with bottleneck at second edge.""" - edges = [ - (0, 1, 5, 100, 0), - (1, 2, 5, 10, 1), - ] - return build_graph(3, edges) - - -@pytest.fixture -def limited_paths_graph(build_graph): - """Four equal-cost parallel 2-hop paths.""" - edges = [ - (0, 1, 5, 50, 0), - (1, 5, 5, 50, 1), - (0, 2, 5, 50, 2), - (2, 5, 5, 50, 3), - (0, 3, 5, 50, 4), - (3, 5, 5, 50, 5), - (0, 4, 5, 50, 6), - (4, 5, 5, 50, 7), - ] - return build_graph(6, edges) - - -@pytest.fixture -def disconnected_graph(build_graph): - """Graph with isolated nodes.""" - edges = [ - (0, 1, 5, 100, 0), - ] - return build_graph(3, edges) - - -# ============================================================================ -# TEST 1: INSUFFICIENT CAPACITY -# ============================================================================ - - -@pytest.mark.parametrize("config_name", ALL_CONFIGS) -def test_insufficient_capacity( - config_name, single_path_graph, algs, to_handle, make_flow_policy -): - """Verify graceful handling when demand > capacity.""" - g = single_path_graph - fg = ngc.FlowGraph(g) - policy = make_flow_policy(config_name, algs, to_handle(g)) - - # Path capacity is 100, demand is 500 - demand = 500.0 - placed, remaining = policy.place_demand(fg, 0, 2, flowClass=0, volume=demand) - - # Should place up to capacity - assert placed <= 100.0 + 1e-3, ( - f"{config_name}: placed ({placed}) exceeds available capacity (100)" - ) - - # Accounting must be correct - assert placed + remaining == pytest.approx(demand, abs=1e-6), ( - f"{config_name}: accounting broken with insufficient capacity" - ) - - # For capacity-aware configurations, should place exactly max capacity - if config_name in CAPACITY_AWARE_CONFIGS: - assert placed == pytest.approx(100.0, abs=1e-3), ( - f"{config_name}: didn't fully utilize capacity when demand exceeds capacity" - ) - - -# ============================================================================ -# TEST 2: SINGLE PATH NETWORK -# ============================================================================ - - -@pytest.mark.parametrize("config_name", ALL_CONFIGS) -def test_single_path_network( - config_name, single_path_graph, algs, to_handle, make_flow_policy -): - """Verify behavior on networks with only one path.""" - g = single_path_graph - fg = ngc.FlowGraph(g) - policy = make_flow_policy(config_name, algs, to_handle(g)) - - demand = 50.0 - placed, remaining = policy.place_demand(fg, 0, 2, flowClass=0, volume=demand) - - # Should successfully place on the single path - assert placed > 0, f"{config_name}: failed to place flow on single-path network" - - # Accounting - assert placed + remaining == pytest.approx(demand, abs=1e-6), ( - f"{config_name}: accounting broken on single-path network" - ) - - -# ============================================================================ -# TEST 3: FEWER PATHS THAN REQUESTED FLOWS -# ============================================================================ - - -@pytest.mark.parametrize("config_name", ["TE_ECMP_16_LSP", "TE_ECMP_UP_TO_256_LSP"]) -def test_fewer_paths_than_requested( - config_name, limited_paths_graph, algs, to_handle, make_flow_policy -): - """Verify behavior when network has fewer paths than requested flows. - - With 4 paths and 16 LSPs, all 4 paths must be used. - """ - from conftest import ( - analyze_path_usage, - check_distribution_balanced, - count_lsps_per_path, - ) - - g = limited_paths_graph # Only 4 paths available - fg = ngc.FlowGraph(g) - policy = make_flow_policy(config_name, algs, to_handle(g)) - - demand = 150.0 - placed, remaining = policy.place_demand(fg, 0, 5, flowClass=0, volume=demand) - - assert placed > 0, ( - f"{config_name}: failed to place when fewer paths than requested flows" - ) - - flow_count = policy.flow_count() - assert flow_count >= 1, f"{config_name}: no flows created on limited paths" - - # Verify path usage - path_usage = analyze_path_usage(fg, g, 0, 5) - available_paths = 4 - - if config_name == "TE_ECMP_16_LSP": - # All 4 paths must be used - assert len(path_usage) == available_paths, ( - f"{config_name}: With 16 LSPs and 4 available paths, " - f"all 4 paths must be used, but only {len(path_usage)} were used. " - f"Paths with flow: {list(path_usage.keys())}" - ) - - # Verify LSP distribution - lsps_per_path = count_lsps_per_path(policy, fg, g, 0, 5) - expected_lsps_per_path = 16 // 4 - - for path_id in [1, 2, 3, 4]: - if path_id in lsps_per_path: - lsp_count = len(lsps_per_path[path_id]) - assert lsp_count == expected_lsps_per_path, ( - f"{config_name}: Path via node {path_id} should have " - f"{expected_lsps_per_path} LSPs, but has {lsp_count}. " - f"Distribution: {lsps_per_path}" - ) - else: - raise AssertionError( - f"{config_name}: Path via node {path_id} has no LSPs! " - f"Distribution: {lsps_per_path}" - ) - - # Check balance - is_balanced, stats = check_distribution_balanced(lsps_per_path, tolerance=0) - assert is_balanced, ( - f"{config_name}: LSPs not evenly distributed. Stats: {stats}" - ) - - # Check capacity - assert placed >= 140.0, ( - f"{config_name}: With 16 LSPs balanced across 4 paths, " - f"should place ~150 units (demand), but only placed {placed}" - ) - - -# ============================================================================ -# TEST 4: ZERO CAPACITY (SATURATED) NETWORK -# ============================================================================ - - -@pytest.mark.parametrize("config_name", CAPACITY_AWARE_CONFIGS) -def test_zero_remaining_capacity( - config_name, single_path_graph, algs, to_handle, make_flow_policy -): - """Verify behavior when all links are saturated.""" - g = single_path_graph - fg = ngc.FlowGraph(g) - policy1 = make_flow_policy(config_name, algs, to_handle(g)) - - # First placement: saturate the network - demand1 = 100.0 - placed1, remaining1 = policy1.place_demand(fg, 0, 2, flowClass=0, volume=demand1) - - # Try to place more on saturated network (different flowClass) - placed_b, remaining_b = policy1.place_demand(fg, 0, 2, flowClass=1, volume=50.0) - - # Should not be able to place additional flow - assert placed_b < 1e-6, ( - f"{config_name}: placed flow on saturated network. placed_b={placed_b}" - ) - - -# ============================================================================ -# TEST 5: DISCONNECTED NETWORK -# ============================================================================ - - -@pytest.mark.parametrize("config_name", ALL_CONFIGS) -def test_no_path_exists( - config_name, disconnected_graph, algs, to_handle, make_flow_policy -): - """Verify behavior when no path exists.""" - g = disconnected_graph - fg = ngc.FlowGraph(g) - policy = make_flow_policy(config_name, algs, to_handle(g)) - - # Try to route from 0 to 2 (no path exists) - demand = 100.0 - placed, remaining = policy.place_demand(fg, 0, 2, flowClass=0, volume=demand) - - # Should place nothing - assert placed == pytest.approx(0.0, abs=1e-9), ( - f"{config_name}: placed volume when no path exists" - ) - - # All demand should remain - assert remaining == pytest.approx(demand, abs=1e-9), ( - f"{config_name}: remaining doesn't match demand when no path exists" - ) - - # Should have no flows - assert policy.flow_count() == 0, f"{config_name}: created flows when no path exists" - - -# ============================================================================ -# TEST 6: BOTTLENECK NETWORK -# ============================================================================ - - -@pytest.mark.parametrize("config_name", CAPACITY_AWARE_CONFIGS) -def test_bottleneck_network( - config_name, bottleneck_graph, algs, to_handle, make_flow_policy -): - """Verify behavior with severe bottleneck.""" - g = bottleneck_graph - fg = ngc.FlowGraph(g) - policy = make_flow_policy(config_name, algs, to_handle(g)) - - demand = 100.0 - placed, remaining = policy.place_demand(fg, 0, 2, flowClass=0, volume=demand) - - # Should place up to bottleneck capacity (10) - # Allow some tolerance for TE policies that may find alternate routes - assert placed <= 100.0 + 1e-3, ( - f"{config_name}: exceeded total capacity through bottleneck. Got {placed}" - ) - - -# ============================================================================ -# TEST 7: VERY LARGE DEMAND -# ============================================================================ - - -@pytest.mark.parametrize("config_name", ALL_CONFIGS) -def test_very_large_demand( - config_name, single_path_graph, algs, to_handle, make_flow_policy -): - """Verify behavior with extremely large demand.""" - g = single_path_graph - fg = ngc.FlowGraph(g) - policy = make_flow_policy(config_name, algs, to_handle(g)) - - # Demand 1000x capacity - demand = 100000.0 - placed, remaining = policy.place_demand(fg, 0, 2, flowClass=0, volume=demand) - - # Accounting must still be correct - assert placed + remaining == pytest.approx(demand, abs=1e-3), ( - f"{config_name}: accounting broken with very large demand" - ) - - # Should not exceed capacity - assert placed <= 100.0 + 1e-3, ( - f"{config_name}: exceeded capacity with very large demand" - ) - - -# ============================================================================ -# TEST 8: ZERO DEMAND -# ============================================================================ - - -@pytest.mark.parametrize("config_name", ALL_CONFIGS) -def test_zero_demand(config_name, single_path_graph, algs, to_handle, make_flow_policy): - """Verify behavior with zero demand.""" - g = single_path_graph - fg = ngc.FlowGraph(g) - policy = make_flow_policy(config_name, algs, to_handle(g)) - - demand = 0.0 - placed, remaining = policy.place_demand(fg, 0, 2, flowClass=0, volume=demand) - - # Should place nothing - assert placed == pytest.approx(0.0, abs=1e-9), ( - f"{config_name}: placed volume with zero demand" - ) - - # Remaining should be zero - assert remaining == pytest.approx(0.0, abs=1e-9), ( - f"{config_name}: remaining non-zero with zero demand" - ) - - -# ============================================================================ -# TEST 9: NEGATIVE DEMAND (ERROR CASE) -# ============================================================================ - - -@pytest.mark.parametrize("config_name", ALL_CONFIGS) -def test_negative_demand( - config_name, single_path_graph, algs, to_handle, make_flow_policy -): - """Verify behavior with negative demand (should be rejected or clamped).""" - g = single_path_graph - fg = ngc.FlowGraph(g) - policy = make_flow_policy(config_name, algs, to_handle(g)) - - # This might raise an exception or clamp to zero - either is acceptable - try: - demand = -100.0 - placed, remaining = policy.place_demand(fg, 0, 2, flowClass=0, volume=demand) - - # If it doesn't raise, should treat as zero or clamp - assert placed == pytest.approx(0.0, abs=1e-9), ( - f"{config_name}: placed volume with negative demand" - ) - except (ValueError, RuntimeError): - # Acceptable to raise error for negative demand - pass - - -# ============================================================================ -# TEST 10: MULTIPLE DEMANDS SAME FLOW CLASS -# ============================================================================ - - -@pytest.mark.parametrize("config_name", TE_CONFIGS) -def test_multiple_demands_additive( - config_name, single_path_graph, algs, to_handle, make_flow_policy -): - """Verify behavior when trying to place multiple demands for same (src,dst,class).""" - g = single_path_graph - fg = ngc.FlowGraph(g) - policy = make_flow_policy(config_name, algs, to_handle(g)) - - # Place first demand - demand1 = 50.0 - placed1, _ = policy.place_demand(fg, 0, 2, flowClass=0, volume=demand1) - - # Try to place second demand for same (src, dst, flowClass) - # Current behavior: likely adds to existing demand - try: - demand2 = 30.0 - placed2, _ = policy.place_demand(fg, 0, 2, flowClass=0, volume=demand2) - - # If it succeeds, verify total placed doesn't exceed capacity - total_placed = policy.placed_demand() - assert total_placed <= 100.0 + 1e-3, ( - f"{config_name}: total placed exceeds capacity after multiple placements" - ) - except RuntimeError: - # Acceptable to reject duplicate placement - pass diff --git a/tests/py/test_flow_policy_lifecycle.py b/tests/py/test_flow_policy_lifecycle.py deleted file mode 100644 index 2f13fb5..0000000 --- a/tests/py/test_flow_policy_lifecycle.py +++ /dev/null @@ -1,76 +0,0 @@ -"""FlowPolicy lifecycle: place, rebalance, remove, and flow count bounds.""" - -from __future__ import annotations - -import pytest - -import netgraph_core as ngc - - -def _make_sel(): - return ngc.EdgeSelection( - multi_edge=True, - require_capacity=True, - tie_break=ngc.EdgeTieBreak.DETERMINISTIC, - ) - - -def _small_graph(build_graph): - # 0 -> 1 (cap 3), 0 -> 2 -> 1 (cap 2) - edges = [ - (0, 1, 1.0, 3.0, 0), - (0, 2, 1.0, 2.0, 1), - (2, 1, 1.0, 2.0, 2), - ] - return build_graph(3, edges) - - -def test_flow_policy_place_rebalance_remove(build_graph, algs, to_handle): - g = _small_graph(build_graph) - fg = ngc.FlowGraph(g) - cfg = ngc.FlowPolicyConfig( - path_alg=ngc.PathAlg.SPF, - flow_placement=ngc.FlowPlacement.EQUAL_BALANCED, - selection=_make_sel(), - min_flow_count=2, - max_flow_count=4, - ) - policy = ngc.FlowPolicy(algs, to_handle(g), cfg) - - placed, remaining = policy.place_demand(fg, 0, 1, flowClass=0, volume=4.0) - assert placed + remaining == pytest.approx(4.0, rel=0, abs=1e-9) - assert policy.flow_count() >= 1 - assert policy.placed_demand() == pytest.approx(placed, rel=0, abs=1e-9) - assert isinstance(policy.flows, dict) - assert all(len(k) == 4 for k in policy.flows.keys()) - - # Rebalance to a higher target - placed2, remaining2 = policy.rebalance_demand(fg, 0, 1, flowClass=0, target=5.0) - # Rebalance keeps total demand constant; target is per-flow guidance - assert placed2 + remaining2 == pytest.approx(placed, rel=0, abs=1e-9) - # Flows should be roughly equalized after rebalance - vals = [v[3] for v in policy.flows.values()] - if len(vals) >= 2: - assert max(vals) - min(vals) <= 1e-6 - - # Remove and ensure counters reset - policy.remove_demand(fg) - assert policy.flow_count() == 0 - assert policy.placed_demand() == pytest.approx(0.0, rel=0, abs=1e-12) - - -def test_flow_policy_flow_count_bounds(build_graph, algs, to_handle): - g = _small_graph(build_graph) - fg = ngc.FlowGraph(g) - # Constrain to exactly 3 flows - cfg = ngc.FlowPolicyConfig( - path_alg=ngc.PathAlg.SPF, - flow_placement=ngc.FlowPlacement.EQUAL_BALANCED, - selection=_make_sel(), - min_flow_count=3, - max_flow_count=3, - ) - policy = ngc.FlowPolicy(algs, to_handle(g), cfg) - placed, _ = policy.place_demand(fg, 0, 1, flowClass=0, volume=3.0) - assert placed >= 0.0 - assert policy.flow_count() == 3 diff --git a/tests/py/test_flow_policy_masks.py b/tests/py/test_flow_policy_masks.py deleted file mode 100644 index 2e14f49..0000000 --- a/tests/py/test_flow_policy_masks.py +++ /dev/null @@ -1,383 +0,0 @@ -"""FlowPolicy mask tests. - -Tests node and edge mask functionality for failure simulation across -canonical configurations. -""" - -from __future__ import annotations - -import numpy as np -import pytest - -import netgraph_core as ngc - -# All canonical configurations to test -ALL_CONFIGS = [ - "SHORTEST_PATHS_ECMP", - "SHORTEST_PATHS_WCMP", - "TE_WCMP_UNLIM", - "TE_ECMP_UP_TO_256_LSP", - "TE_ECMP_16_LSP", -] - -CAPACITY_AWARE_CONFIGS = ["TE_WCMP_UNLIM", "TE_ECMP_UP_TO_256_LSP", "TE_ECMP_16_LSP"] - -# ============================================================================ -# FIXTURES -# ============================================================================ - - -@pytest.fixture -def redundant_paths_graph(build_graph): - """Graph with redundant paths for testing masking.""" - # S=0, T=4 - # Path 1: 0->1->4, cost=10, cap=100 (primary) - # Path 2: 0->2->4, cost=10, cap=100 (backup) - # Path 3: 0->3->4, cost=15, cap=100 (expensive backup) - edges = [ - (0, 1, 5, 100, 0), # Primary path - (1, 4, 5, 100, 1), - (0, 2, 5, 100, 2), # Backup path (same cost) - (2, 4, 5, 100, 3), - (0, 3, 7, 100, 4), # Expensive path - (3, 4, 8, 100, 5), - ] - return build_graph(5, edges) - - -# ============================================================================ -# TEST 1: NODE MASK EXCLUSION -# ============================================================================ - - -@pytest.mark.parametrize("config_name", ALL_CONFIGS) -def test_node_mask_excludes_node( - config_name, redundant_paths_graph, algs, to_handle, make_flow_policy -): - """Verify configurations respect node exclusions.""" - g = redundant_paths_graph - - # Without mask - should place successfully using all paths - fg1 = ngc.FlowGraph(g) - policy1 = make_flow_policy(config_name, algs, to_handle(g), node_mask=None) - placed1, _ = policy1.place_demand(fg1, 0, 4, flowClass=0, volume=100.0) - - # Create mask excluding node 1 (part of primary path) - node_mask = np.ones(5, dtype=bool) - node_mask[1] = False # Exclude node 1 - - # With mask - should place using alternate paths - fg2 = ngc.FlowGraph(g) - policy2 = make_flow_policy(config_name, algs, to_handle(g), node_mask=node_mask) - placed2, _ = policy2.place_demand(fg2, 0, 4, flowClass=0, volume=100.0) - - # Should still place flow (via nodes 2 or 3) - assert placed2 > 0, f"{config_name}: failed to place when node 1 masked" - - # Placement with mask may differ from without mask (configuration-dependent) - # Verifies alternate path discovery when primary path is masked - - -# ============================================================================ -# TEST 2: EDGE MASK EXCLUSION -# ============================================================================ - - -@pytest.mark.parametrize("config_name", ALL_CONFIGS) -def test_edge_mask_excludes_edge( - config_name, redundant_paths_graph, algs, to_handle, make_flow_policy -): - """Verify configurations respect edge exclusions.""" - g = redundant_paths_graph - - # Without mask - fg1 = ngc.FlowGraph(g) - policy1 = make_flow_policy(config_name, algs, to_handle(g), edge_mask=None) - placed1, _ = policy1.place_demand(fg1, 0, 4, flowClass=0, volume=100.0) - - # Create mask excluding edge 0 (0->1, first hop of primary path) - edge_mask = np.ones(6, dtype=bool) - edge_mask[0] = False # Exclude edge 0 - - # With mask - should use alternate paths - fg2 = ngc.FlowGraph(g) - policy2 = make_flow_policy(config_name, algs, to_handle(g), edge_mask=edge_mask) - placed2, _ = policy2.place_demand(fg2, 0, 4, flowClass=0, volume=100.0) - - # Should still place flow (via other edges) - assert placed2 > 0, f"{config_name}: failed to place when edge 0 masked" - - -# ============================================================================ -# TEST 3: MASK REDUCES CAPACITY -# ============================================================================ - - -@pytest.mark.parametrize("config_name", CAPACITY_AWARE_CONFIGS) -def test_mask_reduces_available_capacity( - config_name, redundant_paths_graph, algs, to_handle, make_flow_policy -): - """Verify masking reduces available capacity correctly.""" - g = redundant_paths_graph - - # Without mask - get baseline capacity - fg1 = ngc.FlowGraph(g) - policy1 = make_flow_policy(config_name, algs, to_handle(g)) - placed1, _ = policy1.place_demand(fg1, 0, 4, flowClass=0, volume=1000.0) - - # With mask excluding primary path nodes - node_mask = np.ones(5, dtype=bool) - node_mask[1] = False # Exclude primary path - - fg2 = ngc.FlowGraph(g) - policy2 = make_flow_policy(config_name, algs, to_handle(g), node_mask=node_mask) - placed2, _ = policy2.place_demand(fg2, 0, 4, flowClass=0, volume=1000.0) - - # Masked version should place less or equal - assert placed2 <= placed1 + 1e-6, ( - f"{config_name}: masking didn't reduce or maintain capacity. " - f"Without mask: {placed1}, with mask: {placed2}" - ) - - -# ============================================================================ -# TEST 4: MASK CHANGES COSTS -# ============================================================================ - - -@pytest.mark.parametrize("config_name", ALL_CONFIGS) -def test_mask_forces_higher_cost_paths( - config_name, redundant_paths_graph, algs, to_handle, make_flow_policy -): - """Verify masking forces use of alternate (more expensive) paths.""" - g = redundant_paths_graph - - # Helper to extract minimum cost - def get_min_cost(policy): - flows = policy.flows - if not flows: - return float("inf") - costs = [v[2] for v in flows.values()] - return min(costs) - - # Without mask - should use cheap paths (cost 10) - fg1 = ngc.FlowGraph(g) - policy1 = make_flow_policy(config_name, algs, to_handle(g)) - placed1, _ = policy1.place_demand(fg1, 0, 4, flowClass=0, volume=50.0) - - if placed1 > 0: - min_cost1 = get_min_cost(policy1) - - # With mask excluding cheap paths - should use expensive path (cost 15) - node_mask = np.ones(5, dtype=bool) - node_mask[1] = False # Exclude node 1 - node_mask[2] = False # Exclude node 2 - - fg2 = ngc.FlowGraph(g) - policy2 = make_flow_policy(config_name, algs, to_handle(g), node_mask=node_mask) - placed2, _ = policy2.place_demand(fg2, 0, 4, flowClass=0, volume=50.0) - - if placed2 > 0: - min_cost2 = get_min_cost(policy2) - - # Masked version should use more expensive paths - assert min_cost2 >= min_cost1 - 1e-6, ( - f"{config_name}: masking didn't increase or maintain path cost. " - f"Without mask: {min_cost1}, with mask: {min_cost2}" - ) - - -# ============================================================================ -# TEST 5: COMPLETE NETWORK MASKING -# ============================================================================ - - -@pytest.mark.parametrize("config_name", ALL_CONFIGS) -def test_complete_mask_blocks_all_paths( - config_name, redundant_paths_graph, algs, to_handle, make_flow_policy -): - """Verify behavior when all paths are masked.""" - g = redundant_paths_graph - - # Mask all intermediate nodes - node_mask = np.ones(5, dtype=bool) - node_mask[1] = False # Exclude all - node_mask[2] = False # intermediate - node_mask[3] = False # nodes - - fg = ngc.FlowGraph(g) - policy = make_flow_policy(config_name, algs, to_handle(g), node_mask=node_mask) - placed, remaining = policy.place_demand(fg, 0, 4, flowClass=0, volume=100.0) - - # Should place nothing - assert placed == pytest.approx(0.0, abs=1e-9), ( - f"{config_name}: placed volume when all paths masked" - ) - assert remaining == pytest.approx(100.0, abs=1e-9), ( - f"{config_name}: remaining doesn't match demand when all paths masked" - ) - - -# ============================================================================ -# TEST 6: SOURCE NODE MASKED -# ============================================================================ - - -@pytest.mark.parametrize("config_name", ALL_CONFIGS) -def test_source_node_masked( - config_name, redundant_paths_graph, algs, to_handle, make_flow_policy -): - """Verify behavior when source node is masked.""" - g = redundant_paths_graph - - # Mask source node - node_mask = np.ones(5, dtype=bool) - node_mask[0] = False # Exclude source - - fg = ngc.FlowGraph(g) - policy = make_flow_policy(config_name, algs, to_handle(g), node_mask=node_mask) - placed, remaining = policy.place_demand(fg, 0, 4, flowClass=0, volume=100.0) - - # Should place nothing (no traversal can start from excluded source) - assert placed == pytest.approx(0.0, abs=1e-9), ( - f"{config_name}: placed volume when source masked" - ) - assert remaining == pytest.approx(100.0, abs=1e-9), ( - f"{config_name}: remaining doesn't match demand when source masked" - ) - - -# ============================================================================ -# TEST 7: DESTINATION NODE MASKED -# ============================================================================ - - -@pytest.mark.parametrize("config_name", ALL_CONFIGS) -def test_destination_node_masked( - config_name, redundant_paths_graph, algs, to_handle, make_flow_policy -): - """Verify behavior when destination node is masked.""" - g = redundant_paths_graph - - # Mask destination node - node_mask = np.ones(5, dtype=bool) - node_mask[4] = False # Exclude destination - - fg = ngc.FlowGraph(g) - policy = make_flow_policy(config_name, algs, to_handle(g), node_mask=node_mask) - placed, remaining = policy.place_demand(fg, 0, 4, flowClass=0, volume=100.0) - - # Should place nothing (cannot reach excluded destination) - assert placed == pytest.approx(0.0, abs=1e-9), ( - f"{config_name}: placed volume when destination masked" - ) - assert remaining == pytest.approx(100.0, abs=1e-9), ( - f"{config_name}: remaining doesn't match demand when destination masked" - ) - - -# ============================================================================ -# TEST 8: COMBINED NODE AND EDGE MASKS -# ============================================================================ - - -@pytest.mark.parametrize("config_name", ALL_CONFIGS) -def test_combined_node_and_edge_masks( - config_name, redundant_paths_graph, algs, to_handle, make_flow_policy -): - """Verify behavior with both node and edge masks.""" - g = redundant_paths_graph - - # Exclude node 1 and edge 2 (0->2) - node_mask = np.ones(5, dtype=bool) - node_mask[1] = False - - edge_mask = np.ones(6, dtype=bool) - edge_mask[2] = False - - fg = ngc.FlowGraph(g) - policy = make_flow_policy( - config_name, algs, to_handle(g), node_mask=node_mask, edge_mask=edge_mask - ) - placed, remaining = policy.place_demand(fg, 0, 4, flowClass=0, volume=100.0) - - # Should still place via expensive path (0->3->4) - assert placed > 0, f"{config_name}: failed to place with combined masks" - - -# ============================================================================ -# TEST 9: MASK VALIDATION -# ============================================================================ - - -def test_invalid_node_mask_length( - redundant_paths_graph, algs, to_handle, make_flow_policy -): - """Verify that invalid mask lengths are rejected.""" - g = redundant_paths_graph - - # Create mask with wrong length - node_mask = np.ones(10, dtype=bool) # Graph has 5 nodes, not 10 - - # Should raise TypeError for length mismatch - with pytest.raises(TypeError, match="node_mask"): - make_flow_policy("SHORTEST_PATHS_ECMP", algs, to_handle(g), node_mask=node_mask) - - -def test_invalid_edge_mask_length( - redundant_paths_graph, algs, to_handle, make_flow_policy -): - """Verify that invalid mask lengths are rejected.""" - g = redundant_paths_graph - - # Create mask with wrong length - edge_mask = np.ones(10, dtype=bool) # Graph has 6 edges, not 10 - - # Should raise TypeError for length mismatch - with pytest.raises(TypeError, match="edge_mask"): - make_flow_policy("SHORTEST_PATHS_ECMP", algs, to_handle(g), edge_mask=edge_mask) - - -def test_invalid_mask_dtype(redundant_paths_graph, algs, to_handle, make_flow_policy): - """Verify that non-bool masks are rejected.""" - g = redundant_paths_graph - - # Create mask with wrong dtype - node_mask = np.ones(5, dtype=np.float64) # Should be bool - - # Should raise TypeError for wrong dtype - with pytest.raises(TypeError, match="bool"): - make_flow_policy("SHORTEST_PATHS_ECMP", algs, to_handle(g), node_mask=node_mask) - - -# ============================================================================ -# TEST 10: MASK IMMUTABILITY -# ============================================================================ - - -@pytest.mark.parametrize("config_name", ["SHORTEST_PATHS_ECMP", "TE_WCMP_UNLIM"]) -def test_mask_is_copied( - config_name, redundant_paths_graph, algs, to_handle, make_flow_policy -): - """Verify that masks are copied (not referenced) by FlowPolicy.""" - g = redundant_paths_graph - - # Create mask - node_mask = np.ones(5, dtype=bool) - node_mask[1] = False - - fg = ngc.FlowGraph(g) - policy = make_flow_policy(config_name, algs, to_handle(g), node_mask=node_mask) - placed1, _ = policy.place_demand(fg, 0, 4, flowClass=0, volume=50.0) - - # Modify the mask after policy creation - node_mask[2] = False - - # Policy should not be affected by external mask changes - # (behavior should be consistent with first placement) - policy2 = make_flow_policy(config_name, algs, to_handle(g), node_mask=None) - fg2 = ngc.FlowGraph(g) - # This test mainly validates that the policy doesn't crash or behave erratically - # The actual assertion is that this doesn't raise an exception - placed2, _ = policy2.place_demand(fg2, 0, 4, flowClass=0, volume=50.0) - assert placed2 > 0 # Should work normally diff --git a/tests/py/test_flow_policy_path_distribution.py b/tests/py/test_flow_policy_path_distribution.py deleted file mode 100644 index e308d58..0000000 --- a/tests/py/test_flow_policy_path_distribution.py +++ /dev/null @@ -1,532 +0,0 @@ -"""FlowPolicy path distribution tests. - -Verifies that LSPs distribute correctly across available equal-cost paths: -- All available paths are utilized -- Flow distribution is balanced (not clustered) -- Per-path volumes match expected values -- ECMP equal-balancing constraint is satisfied -""" - -from __future__ import annotations - -import pytest - -import netgraph_core as ngc - -# ============================================================================ -# HELPER FUNCTIONS -# ============================================================================ - - -def analyze_path_usage( - fg: ngc.FlowGraph, graph: ngc.StrictMultiDiGraph, source: int, target: int -) -> dict[int, float]: - """Analyze which parallel paths are used and their volumes. - - Returns dict mapping middle_node_id -> total_flow_volume - """ - edge_flows = fg.edge_flow_view() - edge_src = graph.edge_src_view() - edge_dst = graph.edge_dst_view() - - path_usage = {} - - # Find all edges from source - for edge_id in range(graph.num_edges()): - if edge_src[edge_id] == source: - middle_node = edge_dst[edge_id] - flow = edge_flows[edge_id] - if flow > 0.001: - path_usage[middle_node] = flow - - return path_usage - - -def count_lsps_per_path( - policy: ngc.FlowPolicy, - fg: ngc.FlowGraph, - graph: ngc.StrictMultiDiGraph, - source: int, - target: int, -) -> dict[int, list[int]]: - """Count how many LSPs use each path. - - Returns dict mapping middle_node_id -> list of flow_ids - """ - edge_src = graph.edge_src_view() - edge_dst = graph.edge_dst_view() - - path_lsps = {} - - # For each flow, determine which path it uses - for flow_id in range(policy.flow_count()): - try: - flow_index = ngc.FlowIndex(source, target, 0, flow_id) - flow_edges = fg.get_flow_edges(flow_index) - - # Find the middle node this flow uses - # flow_edges is list of (edge_id, volume) tuples - for edge_id, _ in flow_edges: - src = edge_src[edge_id] - dst = edge_dst[edge_id] - if src == source: - middle_node = dst - if middle_node not in path_lsps: - path_lsps[middle_node] = [] - path_lsps[middle_node].append(flow_id) - break - except (KeyError, RuntimeError): - pass # Flow might not exist or have no edges - - return path_lsps - - -# ============================================================================ -# TEST FIXTURES: Parallel Path Topologies -# ============================================================================ - - -@pytest.fixture -def parallel_3_paths(build_graph): - """Three parallel 2-hop paths, each with capacity 100.""" - edges = [ - (0, 1, 1, 100.0), # S -> M1 - (0, 2, 1, 100.0), # S -> M2 - (0, 3, 1, 100.0), # S -> M3 - (1, 4, 1, 100.0), # M1 -> T - (2, 4, 1, 100.0), # M2 -> T - (3, 4, 1, 100.0), # M3 -> T - ] - return build_graph(5, edges) - - -@pytest.fixture -def parallel_5_paths(build_graph): - """Five parallel 2-hop paths.""" - edges = [ - (0, 1, 1, 100.0), - (0, 2, 1, 100.0), - (0, 3, 1, 100.0), - (0, 4, 1, 100.0), - (0, 5, 1, 100.0), - (1, 6, 1, 100.0), - (2, 6, 1, 100.0), - (3, 6, 1, 100.0), - (4, 6, 1, 100.0), - (5, 6, 1, 100.0), - ] - return build_graph(7, edges) - - -@pytest.fixture -def parallel_2_paths(build_graph): - """Two parallel 2-hop paths.""" - edges = [ - (0, 1, 1, 100.0), - (0, 2, 1, 100.0), - (1, 3, 1, 100.0), - (2, 3, 1, 100.0), - ] - return build_graph(4, edges) - - -# ============================================================================ -# PATH UTILIZATION TESTS -# ============================================================================ - - -def test_all_paths_used_with_multipath_false_3_paths_6_lsps( - parallel_3_paths, algs, to_handle -): - """CRITICAL: When multipath=false, ALL available paths must be used. - - This is the test that would have caught the bug! - - With 3 paths and 6 LSPs: - - Expected: 2 LSPs per path (optimal distribution) - - Bug behavior: Only 2 paths used, 3 LSPs each, path-3 idle - """ - g = parallel_3_paths - fg = ngc.FlowGraph(g) - - config = ngc.FlowPolicyConfig() - config.path_alg = ngc.PathAlg.SPF - config.flow_placement = ngc.FlowPlacement.EQUAL_BALANCED - config.selection = ngc.EdgeSelection( - multi_edge=False, - require_capacity=True, - tie_break=ngc.EdgeTieBreak.PREFER_HIGHER_RESIDUAL, - ) - config.multipath = False # Each LSP uses ONE path - config.min_flow_count = 6 - config.max_flow_count = 6 - - policy = ngc.FlowPolicy(algs, to_handle(g), config) - - demand = 250.0 - placed, remaining = policy.place_demand(fg, 0, 4, flowClass=0, volume=demand) - - # Check path usage - path_usage = analyze_path_usage(fg, g, 0, 4) - - # CRITICAL ASSERTION: All 3 paths must be used! - assert len(path_usage) == 3, ( - f"Expected all 3 paths to be used, but only {len(path_usage)} were used. " - f"Paths with flow: {list(path_usage.keys())}" - ) - - # All paths should have equal flow (100 each with optimal distribution) - # With 6 LSPs and 3 paths: 2 LSPs per path = 100 capacity / 2 = 50 per LSP - # Total per path: 2 * 50 = 100 units (if using reoptimization) - # OR if balanced: each LSP gets demand/6, so 250/6 = 41.67 per LSP - # With 2 LSPs per path: 2 * 41.67 = 83.33 per path - - for path_id, flow in path_usage.items(): - assert flow > 0.0, f"Path {path_id} has zero flow" - - # Check LSP distribution - lsps_per_path = count_lsps_per_path(policy, fg, g, 0, 4) - - # With 6 LSPs and 3 paths, each path should have 2 LSPs - for path_id in [1, 2, 3]: # Middle nodes - lsp_count = len(lsps_per_path.get(path_id, [])) - assert lsp_count == 2, ( - f"Path via node {path_id} should have 2 LSPs, but has {lsp_count}. " - f"Distribution: {lsps_per_path}" - ) - - # Expected capacity: 6 LSPs * 50 units = 300 units (if perfectly balanced) - # With demand=250, we should place it all - assert placed >= 240.0, ( # Allow some tolerance - f"Expected to place ~250 units with optimal distribution, got {placed}" - ) - - -def test_all_paths_used_with_multipath_false_5_paths_3_lsps( - parallel_5_paths, algs, to_handle -): - """When paths > LSPs, only use as many paths as needed, but distribute optimally.""" - g = parallel_5_paths - fg = ngc.FlowGraph(g) - - config = ngc.FlowPolicyConfig() - config.path_alg = ngc.PathAlg.SPF - config.flow_placement = ngc.FlowPlacement.EQUAL_BALANCED - config.selection = ngc.EdgeSelection( - multi_edge=False, - require_capacity=True, - tie_break=ngc.EdgeTieBreak.PREFER_HIGHER_RESIDUAL, - ) - config.multipath = False - config.min_flow_count = 3 - config.max_flow_count = 3 - - policy = ngc.FlowPolicy(algs, to_handle(g), config) - - demand = 150.0 - placed, remaining = policy.place_demand(fg, 0, 6, flowClass=0, volume=demand) - - # Check path usage - path_usage = analyze_path_usage(fg, g, 0, 6) - - # With 3 LSPs and 5 paths: should use 3 paths (1 LSP each) - assert len(path_usage) == 3, ( - f"Expected 3 paths to be used (1 LSP each), but {len(path_usage)} were used" - ) - - # Check LSP distribution - lsps_per_path = count_lsps_per_path(policy, fg, g, 0, 6) - - # Each used path should have exactly 1 LSP - for path_id, lsp_list in lsps_per_path.items(): - assert len(lsp_list) == 1, ( - f"Path {path_id} should have 1 LSP, has {len(lsp_list)}" - ) - - # With 1 LSP per path and 100 capacity: 3 * 100 = 300 available - # Demand is 150, so should place it all - assert placed == pytest.approx(150.0, abs=1.0), ( - f"Expected to place all 150 units, got {placed}" - ) - - -def test_all_paths_used_with_multipath_false_2_paths_6_lsps( - parallel_2_paths, algs, to_handle -): - """When LSPs > paths, distribute evenly across available paths.""" - g = parallel_2_paths - fg = ngc.FlowGraph(g) - - config = ngc.FlowPolicyConfig() - config.path_alg = ngc.PathAlg.SPF - config.flow_placement = ngc.FlowPlacement.EQUAL_BALANCED - config.selection = ngc.EdgeSelection( - multi_edge=False, - require_capacity=True, - tie_break=ngc.EdgeTieBreak.PREFER_HIGHER_RESIDUAL, - ) - config.multipath = False - config.min_flow_count = 6 - config.max_flow_count = 6 - - policy = ngc.FlowPolicy(algs, to_handle(g), config) - - demand = 200.0 - placed, remaining = policy.place_demand(fg, 0, 3, flowClass=0, volume=demand) - - # Check path usage - path_usage = analyze_path_usage(fg, g, 0, 3) - - # Both paths must be used - assert len(path_usage) == 2, ( - f"Expected both paths to be used, but only {len(path_usage)} were used" - ) - - # Check LSP distribution - lsps_per_path = count_lsps_per_path(policy, fg, g, 0, 3) - - # With 6 LSPs and 2 paths: each path should have 3 LSPs - for path_id in [1, 2]: # Middle nodes - lsp_count = len(lsps_per_path.get(path_id, [])) - assert lsp_count == 3, ( - f"Path via node {path_id} should have 3 LSPs, but has {lsp_count}" - ) - - # With 3 LSPs per path and 100 capacity: 100/3 = 33.33 per LSP - # Total: 6 * 33.33 = 200 units - assert placed == pytest.approx(200.0, abs=1.0), ( - f"Expected to place all 200 units, got {placed}" - ) - - -# ============================================================================ -# TEST: Path Distribution Balance -# ============================================================================ - - -def test_balanced_path_distribution_multipath_false(parallel_3_paths, algs, to_handle): - """Verify LSPs are evenly distributed across paths, not clustered.""" - g = parallel_3_paths - fg = ngc.FlowGraph(g) - - config = ngc.FlowPolicyConfig() - config.path_alg = ngc.PathAlg.SPF - config.flow_placement = ngc.FlowPlacement.EQUAL_BALANCED - config.selection = ngc.EdgeSelection( - multi_edge=False, - require_capacity=True, - tie_break=ngc.EdgeTieBreak.DETERMINISTIC, - ) - config.multipath = False - config.min_flow_count = 9 # 9 LSPs across 3 paths = 3 per path - config.max_flow_count = 9 - - policy = ngc.FlowPolicy(algs, to_handle(g), config) - - demand = 300.0 - placed, remaining = policy.place_demand(fg, 0, 4, flowClass=0, volume=demand) - - # Check LSP distribution - lsps_per_path = count_lsps_per_path(policy, fg, g, 0, 4) - - # All 3 paths must be used - assert len(lsps_per_path) == 3, "All 3 paths must be used" - - # Each path should have exactly 3 LSPs (9 / 3 = 3) - for path_id in [1, 2, 3]: - lsp_count = len(lsps_per_path.get(path_id, [])) - assert lsp_count == 3, ( - f"Path {path_id} should have 3 LSPs for balanced distribution, " - f"but has {lsp_count}" - ) - - # With 3 LSPs per path and 100 capacity: 100/3 = 33.33 per LSP - # Total: 9 * 33.33 = 300 units - assert placed == pytest.approx(300.0, abs=1.0) - - -# ============================================================================ -# TEST: ECMP Equal-Balancing Constraint -# ============================================================================ - - -def test_ecmp_all_lsps_equal_volume(parallel_3_paths, algs, to_handle): - """Verify ECMP constraint: all LSPs must carry equal volume.""" - g = parallel_3_paths - fg = ngc.FlowGraph(g) - - config = ngc.FlowPolicyConfig() - config.path_alg = ngc.PathAlg.SPF - config.flow_placement = ngc.FlowPlacement.EQUAL_BALANCED - config.selection = ngc.EdgeSelection( - multi_edge=False, - require_capacity=True, - tie_break=ngc.EdgeTieBreak.PREFER_HIGHER_RESIDUAL, - ) - config.multipath = False - config.min_flow_count = 6 - config.max_flow_count = 6 - - policy = ngc.FlowPolicy(algs, to_handle(g), config) - - demand = 240.0 - placed, remaining = policy.place_demand(fg, 0, 4, flowClass=0, volume=demand) - - # Extract flow volumes - flow_volumes = [] - for flow_id in range(policy.flow_count()): - flow_key = (0, 4, 0, flow_id) - if flow_key in policy.flows: - flow_info = policy.flows[flow_key] - volume = flow_info[3] - flow_volumes.append(volume) - - # All flows should have equal volume (ECMP constraint) - if len(flow_volumes) > 0: - expected_volume = flow_volumes[0] - for vol in flow_volumes: - assert vol == pytest.approx(expected_volume, abs=0.01), ( - f"ECMP violation: LSPs have different volumes: {flow_volumes}" - ) - - -# ============================================================================ -# TEST: Multipath=True Should Use All Paths Differently -# ============================================================================ - - -def test_multipath_true_uses_all_paths(parallel_3_paths, algs, to_handle): - """With multipath=true, each flow should split across all paths.""" - g = parallel_3_paths - fg = ngc.FlowGraph(g) - - config = ngc.FlowPolicyConfig() - config.path_alg = ngc.PathAlg.SPF - config.flow_placement = ngc.FlowPlacement.EQUAL_BALANCED - config.selection = ngc.EdgeSelection( - multi_edge=False, - require_capacity=True, - tie_break=ngc.EdgeTieBreak.PREFER_HIGHER_RESIDUAL, - ) - config.multipath = True # Each flow SPLITS across all paths - config.min_flow_count = 6 - config.max_flow_count = 6 - - policy = ngc.FlowPolicy(algs, to_handle(g), config) - - demand = 250.0 - placed, remaining = policy.place_demand(fg, 0, 4, flowClass=0, volume=demand) - - # Check path usage - path_usage = analyze_path_usage(fg, g, 0, 4) - - # All 3 paths must be used - assert len(path_usage) == 3, ( - f"With multipath=true, all paths should be used, " - f"but only {len(path_usage)} were used" - ) - - # With multipath=true, flows are evenly distributed - # 6 flows, each taking 1/3 of each path = 2 "effective" flows per path - # Each flow: 250/6 = 41.67 units, split 1/3 per path = 13.89 per path per flow - # Total per path: 6 * 13.89 = 83.33 units - - for flow in path_usage.values(): - assert flow == pytest.approx(83.33, abs=1.0), ( - "With multipath=true, paths should be equally loaded" - ) - - # Should place all demand - assert placed == pytest.approx(250.0, abs=1.0) - - -# ============================================================================ -# TEST: Progressive Flow Addition -# ============================================================================ - - -def test_incremental_lsp_placement(parallel_3_paths, algs, to_handle): - """Test placing LSPs incrementally to verify path selection logic.""" - g = parallel_3_paths - fg = ngc.FlowGraph(g) - - config = ngc.FlowPolicyConfig() - config.path_alg = ngc.PathAlg.SPF - config.flow_placement = ngc.FlowPlacement.EQUAL_BALANCED - config.selection = ngc.EdgeSelection( - multi_edge=False, - require_capacity=True, - tie_break=ngc.EdgeTieBreak.PREFER_HIGHER_RESIDUAL, - ) - config.multipath = False - config.min_flow_count = 1 - config.max_flow_count = 1 - config.reoptimize_flows_on_each_placement = False - - # Place LSPs one at a time using DIFFERENT flowClasses (each represents a separate LSP) - lsp_volume = 30.0 - paths_used_over_time = [] - - for i in range(6): - policy = ngc.FlowPolicy(algs, to_handle(g), config) # New policy for each "LSP" - placed, remaining = policy.place_demand( - fg, - 0, - 4, - flowClass=i, - volume=lsp_volume, # Different flowClass = different LSP - ) - - path_usage = analyze_path_usage(fg, g, 0, 4) - paths_used_over_time.append(set(path_usage.keys())) - - # After 3 LSPs, all 3 paths should be in use - if i >= 2: - assert len(path_usage) == 3, ( - f"After placing {i + 1} LSPs, all 3 paths should be used, " - f"but only {len(path_usage)} are used: {list(path_usage.keys())}" - ) - - -# ============================================================================ -# TEST: Capacity Constraint Enforcement -# ============================================================================ - - -def test_capacity_limits_with_multipath_false(parallel_3_paths, algs, to_handle): - """Verify capacity constraints are properly enforced per path.""" - g = parallel_3_paths - fg = ngc.FlowGraph(g) - - config = ngc.FlowPolicyConfig() - config.path_alg = ngc.PathAlg.SPF - config.flow_placement = ngc.FlowPlacement.EQUAL_BALANCED - config.selection = ngc.EdgeSelection( - multi_edge=False, - require_capacity=True, - tie_break=ngc.EdgeTieBreak.PREFER_HIGHER_RESIDUAL, - ) - config.multipath = False - config.min_flow_count = 6 - config.max_flow_count = 6 - - policy = ngc.FlowPolicy(algs, to_handle(g), config) - - # Demand exceeds total capacity (3 * 100 = 300) - demand = 400.0 - placed, remaining = policy.place_demand(fg, 0, 4, flowClass=0, volume=demand) - - # Should place at most 300 (total capacity) - assert placed <= 300.0, f"Placed {placed} exceeds total capacity of 300" - assert remaining >= 100.0, f"Should have at least 100 remaining, got {remaining}" - - # Check no path is over-utilized - edge_flows = fg.edge_flow_view() - edge_cap = g.capacity_view() - - for edge_id in range(g.num_edges()): - flow = edge_flows[edge_id] - cap = edge_cap[edge_id] - assert flow <= cap + 0.1, ( # Small tolerance for floating point - f"Edge {edge_id} flow ({flow}) exceeds capacity ({cap})" - ) diff --git a/tests/py/test_flow_policy_spf_memo.py b/tests/py/test_flow_policy_spf_memo.py deleted file mode 100644 index 172e95c..0000000 --- a/tests/py/test_flow_policy_spf_memo.py +++ /dev/null @@ -1,158 +0,0 @@ -"""FlowPolicy's SPF memo must be invisible: identical results, fewer SPF runs. - -EqualBalanced placement and rebalance rounds re-request path bundles against -residual state that repeats (94% of SPF calls in a measured place/rebalance -cycle were exact input repeats), so get_path_bundle memoizes raw SPF results, -keyed by (src, dst, residual content, residual-awareness). These tests pin the -one way that can go wrong: a stale hit -- serving a cached DAG computed for -residuals that have since changed. Each scenario mutates residual state between -placements and asserts routing reflects the *current* residuals. -""" - -from __future__ import annotations - -import numpy as np -import pytest - -import netgraph_core as ngc - - -def _graph(num_nodes, edges): - """edges: (src, dst, cost, cap).""" - s = np.array([e[0] for e in edges], np.int32) - d = np.array([e[1] for e in edges], np.int32) - k = np.array([int(e[2]) for e in edges], np.int64) - c = np.array([float(e[3]) for e in edges], np.float64) - return ngc.StrictMultiDiGraph.from_arrays( - num_nodes, s, d, c, k, np.arange(len(edges), dtype=np.int64) - ) - - -def _eb_policy(algs, gh, **kw): - sel = ngc.EdgeSelection( - multi_edge=True, - require_capacity=True, - tie_break=ngc.EdgeTieBreak.DETERMINISTIC, - ) - cfg = ngc.FlowPolicyConfig( - path_alg=ngc.PathAlg.SPF, - flow_placement=ngc.FlowPlacement.EQUAL_BALANCED, - selection=sel, - **kw, - ) - return ngc.FlowPolicy(algs, gh, cfg) - - -def _two_path_graph(): - """0->1->3 (cost 2) and 0->2->3 (cost 4); cheap path capacity 2.""" - return _graph( - 4, - [ - (0, 1, 1, 2.0), - (1, 3, 1, 2.0), - (0, 2, 2, 10.0), - (2, 3, 2, 10.0), - ], - ) - - -def _edges_used(fg, g, idx): - flows = fg.get_flow_edges(ngc.FlowIndex(*idx)) - src = np.asarray(g.edge_src_view()) - dst = np.asarray(g.edge_dst_view()) - return {(int(src[e]), int(dst[e])) for e, amt in flows if amt > 1e-12} - - -class TestMemoInvalidation: - def test_replacement_sees_residuals_changed_by_another_policy(self, algs): - """A cached bundle must not survive residual changes made between calls. - - Policy A places on the cheap path and is removed (restoring residuals, - which reproduces the memo's key). Policy B then saturates the cheap - path through the same FlowGraph. When A places again, its SPF runs - against the *new* residuals and must route via the expensive path; a - stale memo hit would re-serve the cheap-path DAG. - """ - g = _two_path_graph() - gh = algs.build_graph(g) - fg = ngc.FlowGraph(g) - - pa = _eb_policy(algs, gh, max_flow_count=1, min_flow_count=1) - placed, _ = pa.place_demand(fg, 0, 3, 0, 1.0) - assert placed == pytest.approx(1.0) - (idx,) = pa.flows.keys() - assert _edges_used(fg, g, idx) == {(0, 1), (1, 3)} - pa.remove_demand(fg) # residual content is now back to the initial bytes - - pb = _eb_policy(algs, gh, max_flow_count=1, min_flow_count=1) - placed_b, _ = pb.place_demand(fg, 0, 3, 1, 2.0) - assert placed_b == pytest.approx(2.0) # saturates 0->1->3 - - placed2, _ = pa.place_demand(fg, 0, 3, 0, 1.0) - assert placed2 == pytest.approx(1.0) - (idx2,) = pa.flows.keys() - assert _edges_used(fg, g, idx2) == {(0, 2), (2, 3)}, ( - "placement after residual change reused a stale cached path" - ) - - def test_alternating_flow_graphs_stay_isolated(self, algs): - """One policy asked about two FlowGraphs must answer for the right one. - - fg_busy has the cheap path saturated; fg_idle does not. Alternating - get-path queries (via place/remove cycles) between the two must route - differently every time, regardless of which answer the memo last held. - """ - g = _two_path_graph() - gh = algs.build_graph(g) - fg_idle = ngc.FlowGraph(g) - fg_busy = ngc.FlowGraph(g) - - blocker = _eb_policy(algs, gh, max_flow_count=1, min_flow_count=1) - placed, _ = blocker.place_demand(fg_busy, 0, 3, 9, 2.0) - assert placed == pytest.approx(2.0) - - prober = _eb_policy(algs, gh, max_flow_count=1, min_flow_count=1) - for _ in range(3): - placed, _ = prober.place_demand(fg_idle, 0, 3, 0, 1.0) - assert placed == pytest.approx(1.0) - (idx,) = prober.flows.keys() - assert _edges_used(fg_idle, g, idx) == {(0, 1), (1, 3)} - prober.remove_demand(fg_idle) - - placed, _ = prober.place_demand(fg_busy, 0, 3, 0, 1.0) - assert placed == pytest.approx(1.0) - (idx,) = prober.flows.keys() - assert _edges_used(fg_busy, g, idx) == {(0, 2), (2, 3)} - prober.remove_demand(fg_busy) - - def test_eb_rebalance_churn_matches_fresh_policy(self, algs): - """Heavy place/rebalance churn (the memoized path) must land exactly - where a fresh policy with no memo history lands.""" - rng = np.random.default_rng(3) - n = 24 - edges = [] - for _ in range(70): - u, v = rng.integers(0, n, size=2) - if u != v: - edges.append( - ( - int(u), - int(v), - int(rng.integers(1, 21)), - float(rng.integers(1, 6)), - ) - ) - g = _graph(n, edges) - gh = algs.build_graph(g) - - def run(cycles): - p = _eb_policy(algs, gh, max_flow_count=4, min_flow_count=4) - fg = ngc.FlowGraph(g) - for _ in range(cycles): - p.place_demand(fg, 0, n - 1, 0, 8.0) - p.rebalance_demand(fg, 0, n - 1, 0, 2.0) - return np.asarray(fg.edge_flow_view()).copy() - - churned = run(cycles=4) # memo-heavy history - fresh = run(cycles=4) # brand-new policy, identical inputs - np.testing.assert_array_equal(churned, fresh) diff --git a/tests/py/test_flow_policy_validation.py b/tests/py/test_flow_policy_validation.py deleted file mode 100644 index 9f2c62b..0000000 --- a/tests/py/test_flow_policy_validation.py +++ /dev/null @@ -1,385 +0,0 @@ -"""Validation tests for FlowPolicy path distribution and flow placement. - -Tests cover: -- Path usage and distribution -- Optimality vs theoretical maximum -- ECMP constraints and balancing -""" - -import numpy as np -import pytest -from conftest import ( - analyze_path_usage, - calculate_theoretical_capacity_parallel_paths, - check_distribution_balanced, - count_lsps_per_path, -) - -import netgraph_core as ngc - - -def _make_graph(num_nodes, src, dst, cap, cost): - """Helper to build graph with auto-generated ext_edge_ids.""" - ext_edge_ids = np.arange(len(src), dtype=np.int64) - return ngc.StrictMultiDiGraph.from_arrays( - num_nodes, src, dst, cap, cost, ext_edge_ids - ) - - -# ============================================================================ -# FIXTURES: Test Topologies -# ============================================================================ - - -@pytest.fixture -def parallel_paths_varying_capacities(): - """3 parallel paths with different capacities for distribution testing.""" - # S -> [M1, M2, M3] -> T - # Paths: S-M1-T (cap 100), S-M2-T (cap 50), S-M3-T (cap 75) - num_nodes = 5 - src = np.array([0, 0, 0, 1, 2, 3], dtype=np.int32) - dst = np.array([1, 2, 3, 4, 4, 4], dtype=np.int32) - cap = np.array([100.0, 50.0, 75.0, 100.0, 50.0, 75.0], dtype=np.float64) - cost = np.array([10, 10, 10, 10, 10, 10], dtype=np.int64) # Equal costs - - return _make_graph(num_nodes, src, dst, cap, cost) - - -# ============================================================================ -# TEST 1: Path Distribution and Balance -# ============================================================================ - - -def test_path_distribution_with_equal_cost_paths(algs, to_handle): - """Verify LSPs are evenly distributed across equal-cost paths.""" - # Create topology with 4 equal-cost parallel paths - num_nodes = 6 - src = np.array([0, 0, 0, 0, 1, 2, 3, 4], dtype=np.int32) - dst = np.array([1, 2, 3, 4, 5, 5, 5, 5], dtype=np.int32) - cap = np.array([50.0] * 8, dtype=np.float64) - cost = np.array([10] * 8, dtype=np.int64) # All equal cost - g = _make_graph(num_nodes, src, dst, cap, cost) - - fg = ngc.FlowGraph(g) - config = ngc.FlowPolicyConfig() - config.multipath = False # Single-path LSPs - config.min_flow_count = 8 # 8 LSPs for 4 paths = 2 per path - config.max_flow_count = 8 - config.flow_placement = ngc.FlowPlacement.EQUAL_BALANCED - - policy = ngc.FlowPolicy(algs, to_handle(g), config) - placed, remaining = policy.place_demand(fg, 0, 5, flowClass=0, volume=100.0) - - # Verify all paths are used - path_usage = analyze_path_usage(fg, g, 0, 5) - assert len(path_usage) == 4, ( - f"Expected all 4 paths to be used, got {len(path_usage)}: {list(path_usage.keys())}" - ) - - # Verify LSPs are evenly distributed - lsps_per_path = count_lsps_per_path(policy, fg, g, 0, 5) - is_balanced, stats = check_distribution_balanced(lsps_per_path, tolerance=0) - assert is_balanced, f"LSPs not evenly distributed: {stats}" - - # Each path should have exactly 2 LSPs - for path_id in [1, 2, 3, 4]: - assert path_id in lsps_per_path, f"Path {path_id} has no LSPs" - assert len(lsps_per_path[path_id]) == 2, ( - f"Path {path_id} should have 2 LSPs, has {len(lsps_per_path[path_id])}" - ) - - -def test_path_usage_optimality(algs, to_handle): - """Verify that available paths are used optimally to maximize capacity.""" - # 5 parallel paths, 10 LSPs -> should use all 5 paths (2 LSPs each) - num_nodes = 7 - src = np.array([0, 0, 0, 0, 0, 1, 2, 3, 4, 5], dtype=np.int32) - dst = np.array([1, 2, 3, 4, 5, 6, 6, 6, 6, 6], dtype=np.int32) - cap = np.array([100.0] * 10, dtype=np.float64) - cost = np.array([10] * 10, dtype=np.int64) - g = _make_graph(num_nodes, src, dst, cap, cost) - - fg = ngc.FlowGraph(g) - config = ngc.FlowPolicyConfig() - config.multipath = False - config.min_flow_count = 10 - config.max_flow_count = 10 - config.flow_placement = ngc.FlowPlacement.EQUAL_BALANCED - - policy = ngc.FlowPolicy(algs, to_handle(g), config) - demand = 500.0 - placed, remaining = policy.place_demand(fg, 0, 6, flowClass=0, volume=demand) - - # Calculate theoretical maximum - num_paths = 5 - num_lsps = 10 - theoretical_max = calculate_theoretical_capacity_parallel_paths( - 100.0, num_paths, num_lsps - ) - - # Should achieve theoretical maximum (or very close) - assert placed >= theoretical_max * 0.99, ( - f"Placed {placed} is less than 99% of theoretical max {theoretical_max}" - ) - - -# ============================================================================ -# TEST 2: ECMP Constraints -# ============================================================================ - - -def test_ecmp_equal_balancing_strict(algs, to_handle): - """Verify ECMP constraint: all LSPs must carry equal volume.""" - num_nodes = 5 - src = np.array([0, 0, 0, 1, 2, 3], dtype=np.int32) - dst = np.array([1, 2, 3, 4, 4, 4], dtype=np.int32) - cap = np.array([100.0, 100.0, 100.0, 100.0, 100.0, 100.0], dtype=np.float64) - cost = np.array([10] * 6, dtype=np.int64) - g = _make_graph(num_nodes, src, dst, cap, cost) - - fg = ngc.FlowGraph(g) - config = ngc.FlowPolicyConfig() - config.multipath = False - config.min_flow_count = 12 # 12 LSPs - config.max_flow_count = 12 - config.flow_placement = ngc.FlowPlacement.EQUAL_BALANCED - - policy = ngc.FlowPolicy(algs, to_handle(g), config) - placed, remaining = policy.place_demand(fg, 0, 4, flowClass=0, volume=100.0) - - # Verify all LSPs have equal volume - flows = policy.flows - volumes = [v[3] for v in flows.values()] - - if len(volumes) > 1: - ref_volume = volumes[0] - for vol in volumes: - assert vol == pytest.approx(ref_volume, abs=1e-3), ( - f"ECMP violation: volumes not equal. Got {volumes}" - ) - - -def test_ecmp_with_path_capacity_constraints( - algs, to_handle, parallel_paths_varying_capacities -): - """Verify ECMP with varying path capacities limits correctly.""" - g = parallel_paths_varying_capacities - fg = ngc.FlowGraph(g) - - config = ngc.FlowPolicyConfig() - config.multipath = False - config.min_flow_count = 6 # 6 LSPs for 3 paths - config.max_flow_count = 6 - config.flow_placement = ngc.FlowPlacement.EQUAL_BALANCED - - policy = ngc.FlowPolicy(algs, to_handle(g), config) - demand = 300.0 - placed, remaining = policy.place_demand(fg, 0, 4, flowClass=0, volume=demand) - - # Bottleneck: M2 has only 50 capacity - # With 6 LSPs, some must share M2, limiting per-LSP volume to 50/N_M2 - # Theoretical max depends on distribution - - # Verify accounting - assert placed + remaining == pytest.approx(demand, abs=1e-6) - - # Verify ECMP: all LSPs have equal volume - flows = policy.flows - volumes = [v[3] for v in flows.values()] - if len(volumes) > 1: - ref_volume = volumes[0] - for vol in volumes: - assert vol == pytest.approx(ref_volume, abs=1e-3) - - -# ============================================================================ -# TEST 3: Multi-path vs Single-path Behavior -# ============================================================================ - - -def test_multipath_true_vs_false_capacity_difference(algs, to_handle): - """Verify multipath=true achieves higher capacity than multipath=false.""" - # Topology with 3 equal-cost parallel paths - num_nodes = 5 - src = np.array([0, 0, 0, 1, 2, 3], dtype=np.int32) - dst = np.array([1, 2, 3, 4, 4, 4], dtype=np.int32) - cap = np.array([100.0] * 6, dtype=np.float64) - cost = np.array([10] * 6, dtype=np.int64) - g = _make_graph(num_nodes, src, dst, cap, cost) - - # Test 1: multipath=true (hash-based ECMP) - fg1 = ngc.FlowGraph(g) - config1 = ngc.FlowPolicyConfig() - config1.multipath = True # Each flow splits across all paths - config1.min_flow_count = 3 - config1.max_flow_count = 3 - policy1 = ngc.FlowPolicy(algs, to_handle(g), config1) - placed1, _ = policy1.place_demand(fg1, 0, 4, flowClass=0, volume=500.0) - - # Test 2: multipath=false (tunnel-based ECMP) - fg2 = ngc.FlowGraph(g) - config2 = ngc.FlowPolicyConfig() - config2.multipath = False # Each flow uses single path - config2.min_flow_count = 3 - config2.max_flow_count = 3 - policy2 = ngc.FlowPolicy(algs, to_handle(g), config2) - placed2, _ = policy2.place_demand(fg2, 0, 4, flowClass=0, volume=500.0) - - # multipath=true should achieve significantly more capacity - # With 3 flows and 3 paths: - # - multipath=true: each flow uses all 3 paths (hash-based ECMP) - # - multipath=false: each flow uses 1 path (tunnel-based ECMP) - # Both should achieve similar total throughput with balanced distribution. - - # Verify multipath=true placement is at least as good as multipath=false - assert placed1 >= placed2 * 0.99, ( - f"multipath=true ({placed1}) should not be worse than multipath=false ({placed2})" - ) - - -# ============================================================================ -# TEST 4: Flow Count Verification -# ============================================================================ - - -def test_flow_count_matches_configuration(algs, to_handle): - """Verify exact flow count matches configuration when paths available.""" - # Create topology with 10 parallel paths (plenty) - src_nodes = list(range(10)) - dst_nodes = list(range(1, 11)) - src = np.array(src_nodes + dst_nodes, dtype=np.int32) - dst = np.array(dst_nodes + [11] * 10, dtype=np.int32) - cap = np.array([100.0] * 20, dtype=np.float64) - cost = np.array([10] * 20, dtype=np.int64) - g = _make_graph(12, src, dst, cap, cost) - - # Test various flow counts - for target_flows in [1, 4, 8, 16]: - fg = ngc.FlowGraph(g) - config = ngc.FlowPolicyConfig() - config.multipath = False - config.min_flow_count = target_flows - config.max_flow_count = target_flows - - policy = ngc.FlowPolicy(algs, to_handle(g), config) - placed, _ = policy.place_demand(fg, 0, 11, flowClass=0, volume=50.0) - - if placed > 0: - actual_flows = policy.flow_count() - assert actual_flows == target_flows, ( - f"Expected {target_flows} flows, got {actual_flows}" - ) - - -# ============================================================================ -# TEST 5: Distribution Variance -# ============================================================================ - - -def test_distribution_variance_minimal(algs, to_handle): - """Verify LSP distribution has minimal variance across paths.""" - # 4 paths, 9 LSPs -> should be [3, 2, 2, 2] or [3, 3, 2, 1] etc - # Variance should be at most 1 - num_nodes = 6 - src = np.array([0, 0, 0, 0, 1, 2, 3, 4], dtype=np.int32) - dst = np.array([1, 2, 3, 4, 5, 5, 5, 5], dtype=np.int32) - cap = np.array([50.0] * 8, dtype=np.float64) - cost = np.array([10] * 8, dtype=np.int64) - g = _make_graph(num_nodes, src, dst, cap, cost) - - fg = ngc.FlowGraph(g) - config = ngc.FlowPolicyConfig() - config.multipath = False - config.min_flow_count = 9 - config.max_flow_count = 9 - config.flow_placement = ngc.FlowPlacement.EQUAL_BALANCED - - policy = ngc.FlowPolicy(algs, to_handle(g), config) - placed, _ = policy.place_demand(fg, 0, 5, flowClass=0, volume=100.0) - - lsps_per_path = count_lsps_per_path(policy, fg, g, 0, 5) - is_balanced, stats = check_distribution_balanced(lsps_per_path, tolerance=1) - - assert is_balanced, ( - f"Distribution variance too high. Stats: {stats}. " - f"With 9 LSPs and 4 paths, variance should be ≤1" - ) - - -# ============================================================================ -# TEST 6: Optimality with Complex Topology -# ============================================================================ - - -def test_capacity_near_theoretical_max(algs, to_handle): - """Verify placed capacity is near theoretical maximum.""" - # Simple scenario: 3 paths, 6 LSPs, equal capacities - num_nodes = 5 - src = np.array([0, 0, 0, 1, 2, 3], dtype=np.int32) - dst = np.array([1, 2, 3, 4, 4, 4], dtype=np.int32) - cap = np.array([60.0] * 6, dtype=np.float64) - cost = np.array([10] * 6, dtype=np.int64) - g = _make_graph(num_nodes, src, dst, cap, cost) - - fg = ngc.FlowGraph(g) - config = ngc.FlowPolicyConfig() - config.multipath = False - config.min_flow_count = 6 - config.max_flow_count = 6 - config.flow_placement = ngc.FlowPlacement.EQUAL_BALANCED - - policy = ngc.FlowPolicy(algs, to_handle(g), config) - demand = 200.0 - placed, remaining = policy.place_demand(fg, 0, 4, flowClass=0, volume=demand) - - # Theoretical: 3 paths, 6 LSPs -> 2 LSPs per path - # Each path has 60 capacity -> 60/2 = 30 per LSP - # Total: 6 * 30 = 180 - theoretical = calculate_theoretical_capacity_parallel_paths(60.0, 3, 6) - assert theoretical == 180.0 - - # Placed should be at or near theoretical - assert placed >= theoretical * 0.95, ( - f"Placed {placed} is less than 95% of theoretical {theoretical}" - ) - - -# ============================================================================ -# TEST 7: Path Usage Coverage -# ============================================================================ - - -def test_all_equal_cost_paths_utilized(algs, to_handle): - """Verify ALL equal-cost paths are utilized when LSPs exceed path count.""" - # Critical test: 2 paths, 4 LSPs -> both paths must be used - num_nodes = 4 - src = np.array([0, 0, 1, 2], dtype=np.int32) - dst = np.array([1, 2, 3, 3], dtype=np.int32) - cap = np.array([50.0] * 4, dtype=np.float64) - cost = np.array([10] * 4, dtype=np.int64) - g = _make_graph(num_nodes, src, dst, cap, cost) - - fg = ngc.FlowGraph(g) - config = ngc.FlowPolicyConfig() - config.flow_placement = ngc.FlowPlacement.EQUAL_BALANCED - config.multipath = False - config.min_flow_count = 4 - config.max_flow_count = 4 - - policy = ngc.FlowPolicy(algs, to_handle(g), config) - placed, _ = policy.place_demand(fg, 0, 3, flowClass=0, volume=100.0) - - # Both paths MUST be used - path_usage = analyze_path_usage(fg, g, 0, 3) - assert len(path_usage) == 2, ( - f"Both paths must be used with 4 LSPs and 2 paths. " - f"Used: {list(path_usage.keys())}" - ) - - # Each path should have 2 LSPs - lsps_per_path = count_lsps_per_path(policy, fg, g, 0, 3) - for path_id in [1, 2]: - assert path_id in lsps_per_path, f"Path {path_id} not used" - assert len(lsps_per_path[path_id]) == 2, ( - f"Path {path_id} should have 2 LSPs, has {len(lsps_per_path[path_id])}" - ) diff --git a/tests/py/test_graph.py b/tests/py/test_graph.py new file mode 100644 index 0000000..79a5c08 --- /dev/null +++ b/tests/py/test_graph.py @@ -0,0 +1,358 @@ +"""StrictMultiDiGraph on integer units (APPROACH 3): construction, validation order, B' ids, +read-only views, Eligibility.""" + +from __future__ import annotations + +import gc + +import numpy as np +import pytest + +import netgraph_core as ngc + +L62 = 1 << 62 + +# (u, v, capacity_units, cost) in input order. +EDGES = [ + (2, 0, 5, 3), + (0, 2, 4, 2), + (0, 1, 3, 2), + (1, 2, 2, 1), + (0, 1, 1, 2), + (0, 2, 6, 1), + (2, 1, 7, 1), +] + + +def build(n, edges, q=1.0): + return ngc.StrictMultiDiGraph( + n, + [e[0] for e in edges], + [e[1] for e in edges], + [e[2] for e in edges], + [e[3] for e in edges], + q, + ) + + +def test_bprime_ids_and_input_index(): + g = build(3, EDGES) + order = sorted( + range(len(EDGES)), key=lambda i: (EDGES[i][0], EDGES[i][3], EDGES[i][1], i) + ) + assert g.input_index().tolist() == order == [5, 2, 4, 1, 3, 6, 0] + assert g.row_offsets().tolist() == [0, 4, 5, 7] + assert g.edge_src().tolist() == [EDGES[i][0] for i in order] + assert g.edge_dst().tolist() == [EDGES[i][1] for i in order] + assert g.capacity_units().tolist() == [EDGES[i][2] for i in order] + assert g.cost().tolist() == [EDGES[i][3] for i in order] + inv = np.empty(len(EDGES), dtype=np.int64) + inv[g.input_index()] = np.arange(len(EDGES)) + assert g.input_index()[inv].tolist() == list(range(len(EDGES))) + # Reverse CSR in (cost, src, input) order, as input positions. + rev = [] + off, adj = g.in_row_offsets(), g.in_adj_edge_index() + for v in range(3): + rev.append([int(g.input_index()[e]) for e in adj[off[v] : off[v + 1]]]) + assert rev == [[0], [6, 2, 4], [5, 3, 1]] + assert g.max_cost() == 3 + assert g.cost_gcd() == 1 + assert g.num_nodes() == 3 and g.num_edges() == 7 + assert g.resolution() == 1.0 + + +def test_views_are_read_only_and_keep_the_graph_alive(): + g = build(3, EDGES) + views = [ + g.capacity_units(), + g.cost(), + g.edge_src(), + g.edge_dst(), + g.input_index(), + g.row_offsets(), + g.in_row_offsets(), + g.in_adj_edge_index(), + ] + dtypes = [ + np.int64, + np.int64, + np.int32, + np.int32, + np.int32, + np.int32, + np.int32, + np.int32, + ] + for view, dtype in zip(views, dtypes, strict=True): + assert view.dtype == dtype + assert not view.flags.writeable + with pytest.raises(ValueError): + view[0] = 0 + expect = [v.tolist() for v in views] + del g + gc.collect() + assert [v.tolist() for v in views] == expect + + +def test_numpy_integer_inputs_and_exact_large_units(): + big = (1 << 53) + 1 + g = ngc.StrictMultiDiGraph( + np.int64(2), + np.array([0, 0], dtype=np.int32), + np.array([1, 1], dtype=np.uint8), + np.array([big, 7], dtype=np.int64), + np.array([2, 1], dtype=np.uint64), + 2.0**-12, + ) + assert g.capacity_units().tolist() == [7, big] + assert g.resolution() == 2.0**-12 + + +def test_empty_and_isolated(): + g = ngc.StrictMultiDiGraph(0, [], [], [], [], 1) + assert g.row_offsets().tolist() == [0] and g.in_row_offsets().tolist() == [0] + assert g.max_cost() == 0 and g.cost_gcd() == 0 + h = ngc.StrictMultiDiGraph(3, [], [], [], [], 1) + assert h.row_offsets().tolist() == [0, 0, 0, 0] + + +def test_uids_are_distinct(): + a, b = build(3, EDGES), build(3, EDGES) + assert a.uid() != b.uid() and a.uid() > 0 + + +@pytest.mark.parametrize( + "args, pattern", + [ + # The resolution. + ((2, [0], [1], [1], [1], 3.0), "resolution"), + ((2, [0], [1], [1], [1], 2.0**-33), "resolution"), + ((2, [0], [1], [1], [1], 0.0), "resolution"), + ((2, [0], [1], [1], [1], float("nan")), "resolution"), + # The unit values. + ((2, [0], [1], [-1], [1], 1), "capacity_units"), + ((2, [0], [1], [L62], [1], 1), "capacity_units"), + ((2, [0], [1], [1.0], [1], 1), "capacity_units"), + ((2, [0], [1], np.array([1.5]), [1], 1), "capacity_units"), + ((2, [0], [1], [True], [1], 1), "capacity_units"), + # The shapes. + ((-1, [], [], [], [], 1), "num_nodes"), + ((2.0, [0], [1], [1], [1], 1), "num_nodes"), + ((2, [0, 1], [1], [1], [1], 1), "same length"), + ((2, [0], [1], [1, 1], [1], 1), "same length"), + # Zero and negative costs (rule 28). + ((2, [0], [1], [1], [0], 1), "cost"), + ((2, [0], [1], [1], [-3], 1), "cost"), + ((2, [0], [1], [1], [1.5], 1), "cost"), + # The remaining bounds. + ((2, [0], [2], [1], [1], 1), "out of node range"), + ((2, [0, 0], [1, 1], [L62 // 2, L62 // 2], [1, 1], 1), "sum of all capacities"), + ((2, [0, 0], [1, 1], [1, 1], [L62 // 2, L62 // 2], 1), "sum of all edge costs"), + ], +) +def test_validation_errors(args, pattern): + with pytest.raises(ValueError, match=pattern): + ngc.StrictMultiDiGraph(*args) + + +def test_validation_order(): + # The unit values before the shapes, the shapes before the costs, the costs before the + # remaining bounds (endpoints and sums). + with pytest.raises(ValueError, match="capacity_units"): + ngc.StrictMultiDiGraph(2, [0, 1], [1], [-1], [1], 1) + with pytest.raises(ValueError, match="same length"): + ngc.StrictMultiDiGraph(2, [0, 1], [1], [1], [0], 1) + with pytest.raises(ValueError, match="cost"): + ngc.StrictMultiDiGraph(2, [0], [9], [1], [0], 1) + with pytest.raises(ValueError, match="cost"): + ngc.StrictMultiDiGraph(2, [0, 0], [1, 1], [L62 // 2, L62 // 2], [0, 1], 1) + with pytest.raises(ValueError, match="node range"): + ngc.StrictMultiDiGraph(2, [0, 5], [1, 1], [L62 // 2, L62 // 2], [1, 1], 1) + + +def test_bounds_just_below_are_accepted(): + g = ngc.StrictMultiDiGraph( + 2, [0, 0], [1, 1], [L62 // 2, L62 // 2 - 1], [L62 // 2, L62 // 2 - 1], 1 + ) + assert sum(int(x) for x in g.capacity_units()) == L62 - 1 + assert sum(int(x) for x in g.cost()) == L62 - 1 + + +def test_eligibility(): + g = build(4, [(0, 1, 1, 1), (1, 2, 1, 1), (2, 3, 1, 1), (1, 1, 1, 2), (3, 0, 1, 1)]) + every = g.eligibility() + assert every.uid() == 0 and every.graph_uid() == g.uid() + assert every.node_allowed().tolist() == [True] * 4 + el = g.eligibility(excluded_nodes=[1, 1]) + assert el.uid() not in (0, every.uid()) + assert el.node_allowed().tolist() == [True, False, True, True] + allowed_in = [False] * 5 + for e, ok in enumerate(el.edge_allowed().tolist()): + allowed_in[int(g.input_index()[e])] = ok + assert allowed_in == [False, False, True, False, True] + assert not el.edge_allowed().flags.writeable + xe = g.eligibility(excluded_edges=np.array([4, 0, 4])) + assert xe.edge_allowed().tolist() == [False, True, True, True, False] + assert g.eligibility([], [0]).uid() != g.eligibility([], [0]).uid() + with pytest.raises(ValueError, match="range"): + g.eligibility(excluded_nodes=[4]) + with pytest.raises(ValueError, match="range"): + g.eligibility(excluded_edges=[-1]) + with pytest.raises(ValueError): + g.eligibility(excluded_edges=[0.0]) + + +# review-1a D1: the binding validates in the contract's order on unnarrowed integers, so the +# reported defect does not depend on how the same defective input is represented. +@pytest.mark.parametrize( + "args, pattern", + [ + # A zero or negative cost comes before any remaining bound, even one that does not fit + # the C++ type (endpoints beyond int32, a cost beyond int64). + ((2, [2**31], [1], [1], [0], 1.0), r"cost\[0\] = 0: costs must be positive"), + ((2, [-1], [1], [1], [0], 1.0), r"cost\[0\] = 0: costs must be positive"), + ((2, [0], [2**31], [1], [-1], 1.0), r"cost\[0\] = -1: costs must be positive"), + ( + (2, [0], [-(2**70)], [1], [-(2**70)], 1.0), + r"cost\[0\] = -1180591620717411303424", + ), + ( + (2, [0, 0], [1, 1], [1, 1], [2**63, 0], 1.0), + r"cost\[1\] = 0: costs must be positive", + ), + # The unit values come before the costs, the resolution before everything. + ( + (2, [0], [1], [2**62], [0], 1.0), + r"capacity_units\[0\] = 4611686018427387904", + ), + ( + (2, [0], [1], [2**64], [0], 1.0), + r"capacity_units\[0\] = 18446744073709551616", + ), + ( + (2, [0], [1], [-(2**70)], [0], 1.0), + r"capacity_units\[0\] = -1180591620717411303424", + ), + ((2, [0], [1], [-1], [0], 3.0), "resolution"), + # The remaining bounds name the exact value: ids, then the sums. + ( + (2, [2**40], [1], [1], [1], 1.0), + r"edge 0: endpoint \(1099511627776, 1\) out of node range", + ), + ( + (2, [0], [-(2**70)], [1], [1], 1.0), + r"endpoint \(0, -1180591620717411303424\)", + ), + ((2, [0], [1], [1], [2**63], 1.0), "sum of all edge costs"), + ((2, [0, 5], [1, 1], [1, 1], [2**64, 1], 1.0), "out of node range"), + # The shapes. + ((2**40, [], [], [], [], 1.0), "num_nodes"), + ], +) +def test_validation_order_before_narrowing(args, pattern): + with pytest.raises(ValueError, match=pattern): + ngc.StrictMultiDiGraph(*args) + + +def test_validation_independent_of_representation(): + # The same defective graph as Python lists and as NumPy arrays (uint64 beyond int64). + as_lists = (2, [2**63], [1], [1], [0], 1.0) + as_arrays = ( + 2, + np.array([2**63], dtype=np.uint64), + np.array([1], dtype=np.int32), + np.array([1], dtype=np.int64), + np.array([0], dtype=np.int64), + 1.0, + ) + messages = [] + for args in (as_lists, as_arrays): + with pytest.raises(ValueError) as info: + ngc.StrictMultiDiGraph(*args) + messages.append(str(info.value)) + assert ( + messages[0] == messages[1] == "cost[0] = 0: costs must be positive (cost >= 1)" + ) + with pytest.raises(ValueError, match=r"endpoint \(9223372036854775808, 1\)"): + ngc.StrictMultiDiGraph( + 2, np.array([2**63], dtype=np.uint64), [1], [1], [1], 1.0 + ) + + +def test_eligibility_ids_checked_before_narrowing(): + g = build(3, EDGES) + with pytest.raises( + ValueError, match=r"excluded node 1099511627776 out of node range \[0, 3\)" + ): + g.eligibility(excluded_nodes=[2**40]) + with pytest.raises( + ValueError, match=r"excluded edge -1180591620717411303424 out of edge range" + ): + g.eligibility(excluded_edges=[-(2**70)]) + with pytest.raises(ValueError, match="excluded node"): # nodes before edges + g.eligibility(excluded_nodes=[5], excluded_edges=[2**70]) + + +ARG_INDEX = {"src": 1, "dst": 2, "capacity_units": 3, "cost": 4} +VALID = {"src": 0, "dst": 1, "capacity_units": 1, "cost": 0} # the cost stays zero + + +@pytest.mark.parametrize("name", list(ARG_INDEX)) +@pytest.mark.parametrize("ndim", [0, 2]) +@pytest.mark.parametrize("cost", [0, -1]) +def test_array_rank_is_a_shape_defect_before_costs(name, ndim, cost): + # review-1a-fixes D1: the shape step checks rank 1 for every array argument before the + # cost step, so a 2-D or 0-D array is reported before a zero or negative cost. + args = [2, [0], [1], [1], [cost], 1.0] + value = cost if name == "cost" else VALID[name] + bad = np.array(value, dtype=np.int64) + args[ARG_INDEX[name]] = bad.reshape(1, 1) if ndim == 2 else bad + pattern = rf"^{name} must be a 1-D array \(got {ndim} dimensions\)$" + with pytest.raises(ValueError, match=pattern): + ngc.StrictMultiDiGraph(*args) + + +@pytest.mark.parametrize("name", list(ARG_INDEX)) +def test_nested_and_scalar_arguments_are_shape_defects(name): + value = VALID[name] + nested = [2, [0], [1], [1], [0], 1.0] + nested[ARG_INDEX[name]] = [[value]] + with pytest.raises( + ValueError, match=rf"^{name} must be a 1-D sequence of integers \(entry 0" + ): + ngc.StrictMultiDiGraph(*nested) + scalar = [2, [0], [1], [1], [0], 1.0] + scalar[ARG_INDEX[name]] = value + with pytest.raises( + ValueError, match=rf"^{name} must be a 1-D sequence of integers \(got int\)$" + ): + ngc.StrictMultiDiGraph(*scalar) + + +def test_shape_step_keeps_its_place_in_the_order(): + # The resolution and the unit values still come before the shapes, whatever the shape. + with pytest.raises(ValueError, match="resolution"): + ngc.StrictMultiDiGraph(2, np.array([[0]]), [1], [1], [0], 3.0) + with pytest.raises( + ValueError, match=r"capacity_units\[0\] = 4611686018427387904 is outside" + ): + ngc.StrictMultiDiGraph( + 2, [0], [1], np.array([[2**62]], dtype=np.int64), [0], 1.0 + ) + with pytest.raises(ValueError, match=r"capacity_units\[0\] = -1 is outside"): + ngc.StrictMultiDiGraph(2, [0], [1], np.array(-1, dtype=np.int64), [0], 1.0) + with pytest.raises(ValueError, match=r"capacity_units\[1\] = -5 is outside"): + ngc.StrictMultiDiGraph(2, [0], [1], [[1], -5], [0], 1.0) + with pytest.raises(ValueError, match=r"capacity_units = -5 is outside"): + ngc.StrictMultiDiGraph(2, [0], [1], -5, [0], 1.0) + # With valid values the misshapen capacity is a shape defect, before the costs. + with pytest.raises(ValueError, match="capacity_units must be a 1-D array"): + ngc.StrictMultiDiGraph(2, [0], [1], np.array([[1]]), [0], 1.0) + # Rank before lengths. + with pytest.raises(ValueError, match="dst must be a 1-D array"): + ngc.StrictMultiDiGraph(2, [0, 1], np.array([[1, 0]]), [1, 1], [1, 1], 1.0) + # A valid graph from 1-D arrays of every integer kind still builds. + g = ngc.StrictMultiDiGraph( + 2, np.array([0]), np.array([1], dtype=np.uint8), np.array([7]), (3,), 1.0 + ) + assert g.capacity_units().tolist() == [7] diff --git a/tests/py/test_graph_cost_metadata.py b/tests/py/test_graph_cost_metadata.py deleted file mode 100644 index f5e4735..0000000 --- a/tests/py/test_graph_cost_metadata.py +++ /dev/null @@ -1,29 +0,0 @@ -"""StrictMultiDiGraph.max_cost / cost_gcd: the inputs of the SPF queue dispatch rule.""" - -from __future__ import annotations - -import numpy as np - -import netgraph_core as ngc - - -def _graph(costs): - n = len(costs) + 1 - return ngc.StrictMultiDiGraph.from_arrays( - n, - src=np.arange(len(costs), dtype=np.int32), - dst=np.arange(1, n, dtype=np.int32), - capacity=np.ones(len(costs), dtype=np.float64), - cost=np.array(costs, dtype=np.int64), - ext_edge_ids=np.arange(len(costs), dtype=np.int64), - ) - - -def test_cost_metadata(): - assert _graph([6, 9, 0]).max_cost() == 9 - assert _graph([6, 9, 0]).cost_gcd() == 3 - assert _graph([0, 0]).max_cost() == 0 - assert _graph([0, 0]).cost_gcd() == 0 - big = (1 << 40) + 7 - assert _graph([big]).max_cost() == big - assert _graph([big]).cost_gcd() == big diff --git a/tests/py/test_graph_from_arrays.py b/tests/py/test_graph_from_arrays.py deleted file mode 100644 index 19f8595..0000000 --- a/tests/py/test_graph_from_arrays.py +++ /dev/null @@ -1,69 +0,0 @@ -"""StrictMultiDiGraph.from_arrays behaviors and validations.""" - -from __future__ import annotations - -import numpy as np -import pytest - -import netgraph_core as ngc - - -def _make_ext_ids(n): - """Generate ext_edge_ids for n edges.""" - return np.arange(n, dtype=np.int64) - - -def test_from_arrays_basic_bidirectional_manual(): - n = 3 - # Manually include reverse edges - src = np.array([0, 1, 1, 2], dtype=np.int32) - dst = np.array([1, 0, 2, 1], dtype=np.int32) - cap = np.array([1.0, 1.0, 2.0, 2.0], dtype=np.float64) - cost = np.array([1, 1, 1, 1], dtype=np.int64) - g = ngc.StrictMultiDiGraph.from_arrays(n, src, dst, cap, cost, _make_ext_ids(4)) - # Expect reverse edges present; 4 edges total - assert g.num_edges() == 4 - - -def test_from_arrays_mismatched_lengths_raise(): - n = 2 - src = np.array([0], dtype=np.int32) - dst = np.array([1, 1], dtype=np.int32) - cap = np.array([1.0], dtype=np.float64) - cost = np.array([1], dtype=np.int64) - with pytest.raises(TypeError): - ngc.StrictMultiDiGraph.from_arrays(n, src, dst, cap, cost, _make_ext_ids(1)) - - -def test_from_arrays_wrong_dtypes_raise(): - n = 2 - src = np.array([0], dtype=np.int64) # wrong dtype - dst = np.array([1], dtype=np.int32) - cap = np.array([1.0], dtype=np.float32) # wrong dtype - cost = np.array([1], dtype=np.int64) - with pytest.raises((TypeError, ValueError)): - ngc.StrictMultiDiGraph.from_arrays(n, src, dst, cap, cost, _make_ext_ids(1)) - - -def test_from_arrays_negative_capacity_raises(): - n = 2 - src = np.array([0], dtype=np.int32) - dst = np.array([1], dtype=np.int32) - cap = np.array([-1.0], dtype=np.float64) - cost = np.array([1], dtype=np.int64) - with pytest.raises(ValueError): - ngc.StrictMultiDiGraph.from_arrays(n, src, dst, cap, cost, _make_ext_ids(1)) - - -def test_from_arrays_self_loops_behavior(): - n = 2 - src = np.array([0], dtype=np.int32) - dst = np.array([0], dtype=np.int32) # self-loop - cap = np.array([1.0], dtype=np.float64) - cost = np.array([1], dtype=np.int64) - # Self-loops are accepted: StrictMultiDiGraph is a multigraph and from_arrays - # only rejects out-of-range ids and negative capacity/cost. - g = ngc.StrictMultiDiGraph.from_arrays(n, src, dst, cap, cost, _make_ext_ids(1)) - assert g.num_edges() == 1 - assert g.edge_src_view()[0] == 0 - assert g.edge_dst_view()[0] == 0 diff --git a/tests/py/test_graph_structure.py b/tests/py/test_graph_structure.py deleted file mode 100644 index da3926a..0000000 --- a/tests/py/test_graph_structure.py +++ /dev/null @@ -1,27 +0,0 @@ -"""Graph structure tests. - -Validate StrictMultiDiGraph compaction (deterministic ordering and grouping) -and CSR/reverse CSR integrity at a basic level. -""" - -import numpy as np - - -def test_compaction_sorts_and_groups_parallel_edges(build_graph): - # Nodes: 0->1 with mixed order edges; 0->2; expect CSR row for 0 sorted by col and grouped - edges = [ - (0, 2, 2.0, 1.0), - (0, 1, 1.0, 1.0), - (0, 1, 1.5, 2.0), - (1, 2, 1.0, 1.0), - ] - g = build_graph(3, edges) - row = np.asarray(g.row_offsets_view()) - col = np.asarray(g.col_indices_view()) - # Row for node 0 spans [row[0], row[1]) and should be non-decreasing by col - s, e = int(row[0]), int(row[1]) - assert np.all(col[s:e][:-1] <= col[s:e][1:]) - # Parallel edges to the same neighbor should be consecutive (grouped) - # Count transitions; for two neighbors (1 and 2), expect at most two groups - groups = 1 if e - s <= 1 else int(np.sum(col[s:e][1:] != col[s:e][:-1]) + 1) - assert groups <= 2 diff --git a/tests/py/test_imports.py b/tests/py/test_imports.py index 6992915..7f536a1 100644 --- a/tests/py/test_imports.py +++ b/tests/py/test_imports.py @@ -1,8 +1,32 @@ -def test_imports(): - import netgraph_core as ngc - - assert hasattr(ngc, "StrictMultiDiGraph") - assert hasattr(ngc, "Backend") - assert hasattr(ngc, "Algorithms") - assert hasattr(ngc, "EdgeSelection") - assert hasattr(ngc, "EdgeTieBreak") +"""The public surface of the 1a build: the graph on units, Eligibility and the conversions.""" + +import _netgraph_core + +import netgraph_core as ngc + + +def test_public_surface(): + assert set(ngc.__all__) == { + "__version__", + "StrictMultiDiGraph", + "Eligibility", + "to_units", + "as_float", + } + for name in ngc.__all__: + assert hasattr(ngc, name) + assert isinstance(ngc.__version__, str) + + +def test_extension_surface_is_exactly_the_1a_set(): + # The old library is deleted in 1a: the extension exports the graph on units, the + # conversions and the private flow-core entry, nothing else. + public = {n for n in dir(_netgraph_core) if not n.startswith("__")} + assert public == { + "StrictMultiDiGraph", + "Eligibility", + "to_units", + "as_float", + "_place_global_units", + } + assert not hasattr(ngc, "_place_global_units") diff --git a/tests/py/test_ksp.py b/tests/py/test_ksp.py deleted file mode 100644 index 5219b09..0000000 --- a/tests/py/test_ksp.py +++ /dev/null @@ -1,89 +0,0 @@ -"""K-shortest paths (KSP) on canonical graphs; SPF-compatible outputs.""" - -import numpy as np - - -def test_ksp_line1_two_paths( - line1_graph, t_cost, assert_pred_dag_integrity, algs, to_handle -): - g = line1_graph - items = algs.ksp(to_handle(g), 0, 2, k=5, max_cost_factor=None, unique=True) - assert len(items) >= 2 - costs = [t_cost(dist, 2) for dist, _ in items[:2]] - assert all(np.isclose(c, 2.0) for c in costs) - for d, dag in items[:2]: - assert_pred_dag_integrity(g, dag, dist=d) - - -def test_ksp_square1_two_paths( - square1_graph, t_cost, assert_pred_dag_integrity, algs, to_handle -): - g = square1_graph - items = algs.ksp(to_handle(g), 0, 2, k=5, max_cost_factor=None, unique=True) - assert len(items) >= 2 - costs = [t_cost(dist, 2) for dist, _ in items[:2]] - # Expect costs 2 and 4 (A->B->C and A->D->C) - assert set(round(c, 6) for c in costs) == {2.0, 4.0} - for d, dag in items[:2]: - assert_pred_dag_integrity(g, dag, dist=d) - - -def test_ksp_fully_connected_costs( - make_fully_connected_graph, t_cost, assert_pred_dag_integrity, algs, to_handle -): - g = make_fully_connected_graph(5, cost=1.0, cap=1.0) - items = algs.ksp(to_handle(g), 0, 1, k=2, max_cost_factor=None, unique=True) - assert len(items) == 2 - assert np.isclose(t_cost(items[0][0], 1), 1.0) - assert np.isclose(t_cost(items[1][0], 1), 2.0) - for d, dag in items: - assert_pred_dag_integrity(g, dag, dist=d) - - -def test_ksp_max_cost_factor_limit( - make_fully_connected_graph, t_cost, assert_pred_dag_integrity, algs, to_handle -): - g = make_fully_connected_graph(5, cost=1.0, cap=1.0) - # Restrict to paths with cost <= best_cost * 1.0 => only the direct path - items = algs.ksp(to_handle(g), 0, 1, k=5, max_cost_factor=1.0, unique=True) - assert len(items) == 1 - assert np.isclose(t_cost(items[0][0], 1), 1.0) - assert_pred_dag_integrity(g, items[0][1], dist=items[0][0]) - - -def test_ksp_graph5_thresholds( - graph5, t_cost, assert_pred_dag_integrity, algs, to_handle -): - g = graph5 - # Best path cost = 1.0 (direct); with factor 2.0, paths up to cost 2 allowed. - items = algs.ksp(to_handle(g), 0, 1, k=10, max_cost_factor=2.0, unique=True) - # Ensure at least the direct and one via-node path exist - assert len(items) >= 2 - costs = sorted(t_cost(dist, 1) for dist, _ in items[:2]) - assert np.isclose(costs[0], 1.0) - assert np.isclose(costs[1], 2.0) - # With factor 1.0, only direct route - items2 = algs.ksp(to_handle(g), 0, 1, k=10, max_cost_factor=1.0, unique=True) - assert len(items2) == 1 - assert np.isclose(t_cost(items2[0][0], 1), 1.0) - for d, dag in items[:2]: - assert_pred_dag_integrity(g, dag, dist=d) - assert_pred_dag_integrity(g, items2[0][1], dist=items2[0][0]) - - -def test_ksp_square5_routes( - square5_graph, t_cost, assert_pred_dag_integrity, algs, to_handle -): - g = square5_graph - # Multiple routes from A(0) -> D(3): direct two-hop and via B<->C detours - items = algs.ksp(to_handle(g), 0, 3, k=5, max_cost_factor=None, unique=True) - assert len(items) >= 2 - top_costs = sorted(t_cost(dist, 3) for dist, _ in items[:2]) - # Expect two shortest (cost=2) - assert np.isclose(top_costs[0], 2.0) - assert np.isclose(top_costs[1], 2.0) - # No route from A(0) to E(4) - empty = algs.ksp(to_handle(g), 0, 4, k=5, max_cost_factor=None, unique=True) - assert empty == [] - for d, dag in items[:2]: - assert_pred_dag_integrity(g, dag, dist=d) diff --git a/tests/py/test_ksp_variants.py b/tests/py/test_ksp_variants.py deleted file mode 100644 index 0001bfd..0000000 --- a/tests/py/test_ksp_variants.py +++ /dev/null @@ -1,135 +0,0 @@ -"""KSP variants: enumeration with unique=False, k-limit, masks, and out-of-order nodes.""" - -from __future__ import annotations - -import numpy as np - - -def _ksp_graph(build_graph): - # 0->1 direct; 0->2->1; 0->3->2->1 to generate multiple paths - edges = [ - (0, 1, 1, 10, 0), - (0, 2, 1, 10, 1), - (2, 1, 1, 10, 2), - (0, 3, 1, 10, 3), - (3, 2, 1, 10, 4), - ] - return build_graph(4, edges) - - -def test_ksp_unique_false_allows_alternative_enumeration( - build_graph, assert_pred_dag_integrity, algs, to_handle -): - g = _ksp_graph(build_graph) - items = algs.ksp(to_handle(g), 0, 1, k=5, max_cost_factor=None, unique=False) - assert len(items) >= 3 - # Costs should be nondecreasing among top items - costs = [float(dist[1]) for dist, _ in items] - assert all(c >= 1.0 for c in costs) - for d, dag in items[:3]: - assert_pred_dag_integrity(g, dag, dist=d) - - -def test_ksp_respects_k_limit(build_graph, algs, to_handle): - g = _ksp_graph(build_graph) - items = algs.ksp(to_handle(g), 0, 1, k=2, max_cost_factor=None, unique=True) - assert len(items) == 2 - - -def test_ksp_with_masks(build_graph, algs, to_handle): - g = _ksp_graph(build_graph) - node_mask = np.array([True, True, True, False], dtype=bool) # block node 3 - items = algs.ksp( - to_handle(g), 0, 1, k=5, max_cost_factor=None, unique=True, node_mask=node_mask - ) - # Only direct and via-2 remain - assert len(items) >= 2 - - -def test_ksp_out_of_order_node_preddag_semantics( - build_graph, assert_pred_dag_integrity, algs, to_handle -): - """Verify PredDAG correctness when paths visit nodes out of numerical order. - - Topology: 0->1->2 (cost 2) vs 0->3->2 (cost 4). - Path [0,3,2] visits node 3 before node 2, which previously triggered - a CSR fill-order bug where parent entries were swapped between nodes. - """ - edges = [ - (0, 1, 1, 1.0, 0), # 0->1 cost 1 - (1, 2, 1, 1.0, 1), # 1->2 cost 1 - (0, 3, 2, 2.0, 2), # 0->3 cost 2 - (3, 2, 2, 2.0, 3), # 3->2 cost 2 - ] - g = build_graph(4, edges) - items = algs.ksp(to_handle(g), 0, 2, k=5, max_cost_factor=None, unique=True) - assert len(items) >= 2 - - # Verify costs - costs = sorted(float(dist[2]) for dist, _ in items[:2]) - assert np.isclose(costs[0], 2.0), f"Expected shortest cost 2.0, got {costs[0]}" - assert np.isclose(costs[1], 4.0), f"Expected second cost 4.0, got {costs[1]}" - - for d, dag in items: - # Full semantic validation including distance consistency - assert_pred_dag_integrity(g, dag, dist=d) - - # Reconstruct concrete paths via resolve_to_paths - concrete = dag.resolve_to_paths(0, 2, split_parallel_edges=True) - assert len(concrete) >= 1, "Should reconstruct at least one path" - for path in concrete: - assert len(path) >= 2 - assert path[0][0] == 0, "Path should start at source" - assert path[-1][0] == 2, "Path should end at destination" - # Verify edge connectivity - edge_src = np.asarray(g.edge_src_view()) - edge_dst = np.asarray(g.edge_dst_view()) - for i in range(len(path) - 1): - from_node = path[i][0] - to_node = path[i + 1][0] - for eid in path[i][1]: - assert int(edge_src[eid]) == from_node - assert int(edge_dst[eid]) == to_node - - -def test_ksp_larger_out_of_order_topology( - build_graph, assert_pred_dag_integrity, algs, to_handle -): - """Larger topology where k-shortest paths traverse nodes in non-numerical order. - - Path 1: 0->5->3->1 (cost 3, severely out-of-order) - Path 2: 0->2->4->1 (cost 6, also out-of-order) - Path 3: 0->1 (cost 10, direct) - """ - edges = [ - (0, 5, 1, 1.0, 0), # 0->5 cost 1 - (5, 3, 1, 1.0, 1), # 5->3 cost 1 - (3, 1, 1, 1.0, 2), # 3->1 cost 1 - (0, 2, 2, 1.0, 3), # 0->2 cost 2 - (2, 4, 2, 1.0, 4), # 2->4 cost 2 - (4, 1, 2, 1.0, 5), # 4->1 cost 2 - (0, 1, 10, 1.0, 6), # 0->1 cost 10 - ] - g = build_graph(6, edges) - items = algs.ksp(to_handle(g), 0, 1, k=5, max_cost_factor=None, unique=True) - assert len(items) >= 2 - - # Check costs non-decreasing - costs = [float(dist[1]) for dist, _ in items] - for i in range(len(costs) - 1): - assert costs[i] <= costs[i + 1] + 1e-9 - - # First path should be 0->5->3->1 with cost 3 - assert np.isclose(costs[0], 3.0), f"Expected shortest cost 3.0, got {costs[0]}" - - for d, dag in items: - assert_pred_dag_integrity(g, dag, dist=d) - - concrete = dag.resolve_to_paths(0, 1, split_parallel_edges=True) - assert len(concrete) >= 1 - for path in concrete: - # Verify no repeated nodes (simple path) - nodes = [step[0] for step in path] - assert len(nodes) == len(set(nodes)), ( - f"Path contains repeated nodes: {nodes}" - ) diff --git a/tests/py/test_lifetime_safety.py b/tests/py/test_lifetime_safety.py deleted file mode 100644 index 90f4fd2..0000000 --- a/tests/py/test_lifetime_safety.py +++ /dev/null @@ -1,329 +0,0 @@ -""" -Test lifetime management in Python bindings. - -These tests validate that pybind11 keep_alive policies correctly prevent -premature garbage collection of objects that are referenced by raw pointers -in C++ classes. -""" - -import gc -import weakref - -import numpy as np -import pytest - -from netgraph_core import ( - Algorithms, - Backend, - FlowGraph, - FlowPolicy, - FlowPolicyConfig, - FlowState, - StrictMultiDiGraph, -) - - -def _make_graph(num_nodes, src, dst, capacity, cost): - """Helper to build graph with auto-generated ext_edge_ids.""" - ext_edge_ids = np.arange(len(src), dtype=np.int64) - return StrictMultiDiGraph.from_arrays( - num_nodes, src, dst, capacity, cost, ext_edge_ids - ) - - -class TestFlowStateLifetime: - """Test FlowState keeps graph alive (Issue #1).""" - - def test_flowstate_keeps_graph_alive_basic(self): - """FlowState should prevent graph from being garbage collected.""" - # Create graph - g = _make_graph( - 3, - np.array([0, 1], dtype=np.int32), - np.array([1, 2], dtype=np.int32), - np.array([10.0, 10.0]), - np.array([1, 1], dtype=np.int64), - ) - - # Create FlowState (should keep graph alive via keep_alive<0,1>) - fs = FlowState(g) - - # Create weak reference to detect when graph is collected - graph_ref = weakref.ref(g) - - # Delete strong reference to graph - del g - gc.collect() - - # With fix: graph should still be alive (kept by fs) - assert graph_ref() is not None, "Graph was prematurely collected" - - # FlowState should still work - residual = fs.residual_view() - assert len(residual) == 2 - assert residual[0] == 10.0 - - # When both FlowState and all views are deleted, graph can be collected - del residual - del fs - gc.collect() - assert graph_ref() is None, ( - "Graph should be collected after FlowState and views are deleted" - ) - - def test_flowstate_with_residual_keeps_graph_alive(self): - """FlowState(graph, residual) should keep graph alive, not residual.""" - g = _make_graph( - 3, - np.array([0, 1], dtype=np.int32), - np.array([1, 2], dtype=np.int32), - np.array([10.0, 10.0]), - np.array([1, 1], dtype=np.int64), - ) - - residual = np.array([5.0, 7.0]) - fs = FlowState(g, residual) - - graph_ref = weakref.ref(g) - - # Delete references - del g - del residual - gc.collect() - - # Graph should be kept alive (by FlowState), residual is copied - assert graph_ref() is not None, "Graph was prematurely collected" - - # FlowState should work - res = fs.residual_view() - assert len(res) == 2 - assert res[0] == 5.0 - assert res[1] == 7.0 - - -class TestFlowPolicyLifetime: - """Test FlowPolicy keeps Algorithms and Graph alive (Issue #2).""" - - def test_flowpolicy_keeps_algorithms_alive(self): - """FlowPolicy should prevent Algorithms from being garbage collected.""" - # Setup - backend = Backend.cpu() - algs = Algorithms(backend) - - g = _make_graph( - 3, - np.array([0, 1], dtype=np.int32), - np.array([1, 2], dtype=np.int32), - np.array([10.0, 10.0]), - np.array([1, 1], dtype=np.int64), - ) - graph = algs.build_graph(g) - - # Create FlowPolicy - config = FlowPolicyConfig() - policy = FlowPolicy(algs, graph, config) - - # Create weak references - algs_ref = weakref.ref(algs) - graph_ref = weakref.ref(graph) - - # Delete strong references - del algs - del graph - gc.collect() - - # With fix: both should still be alive - assert algs_ref() is not None, "Algorithms was prematurely collected" - assert graph_ref() is not None, "Graph was prematurely collected" - - # Policy should still work - assert policy.flow_count() == 0 - assert policy.placed_demand() == 0.0 - - def test_flowpolicy_keyword_constructor_keeps_alive(self): - """FlowPolicy keyword constructor should also keep dependencies alive.""" - backend = Backend.cpu() - algs = Algorithms(backend) - - g = _make_graph( - 3, - np.array([0, 1], dtype=np.int32), - np.array([1, 2], dtype=np.int32), - np.array([10.0, 10.0]), - np.array([1, 1], dtype=np.int64), - ) - graph = algs.build_graph(g) - - # Use config constructor - cfg = FlowPolicyConfig(min_flow_count=1, max_total_iterations=100) - policy = FlowPolicy(algs, graph, cfg) - - algs_ref = weakref.ref(algs) - - del algs - gc.collect() - - assert algs_ref() is not None, "Algorithms was prematurely collected" - assert policy.flow_count() == 0 - - -class TestFlowGraphLifetime: - """Test FlowGraph lifetime management.""" - - def test_flowgraph_keeps_graph_alive(self): - """FlowGraph should prevent graph from being garbage collected.""" - g = _make_graph( - 3, - np.array([0, 1], dtype=np.int32), - np.array([1, 2], dtype=np.int32), - np.array([10.0, 10.0]), - np.array([1, 1], dtype=np.int64), - ) - - fg = FlowGraph(g) - graph_ref = weakref.ref(g) - - # Delete graph reference - del g - gc.collect() - - # Graph should still be alive (kept by FlowGraph) - assert graph_ref() is not None, "Graph was prematurely collected" - - # FlowGraph should still work - graph_from_fg = fg.graph - assert graph_from_fg.num_nodes() == 3 - assert graph_from_fg.num_edges() == 2 - - # When FlowGraph is deleted, graph can be collected - del fg - del graph_from_fg - gc.collect() - assert graph_ref() is None, ( - "Graph should be collected after FlowGraph is deleted" - ) - - -class TestComplexLifetimeScenarios: - """Test more complex lifetime interactions.""" - - def test_nested_lifetime_chain(self): - """Test chain: Graph -> FlowState -> operations.""" - g = _make_graph( - 3, - np.array([0, 1], dtype=np.int32), - np.array([1, 2], dtype=np.int32), - np.array([10.0, 10.0]), - np.array([1, 1], dtype=np.int64), - ) - - fs = FlowState(g) - - # Create weak references - g_ref = weakref.ref(g) - - # Delete graph - del g - gc.collect() - - # Graph should be kept alive by FlowState - assert g_ref() is not None - - # Should be able to perform operations - fs.reset() - residual = fs.residual_view() - assert len(residual) == 2 - - def test_multiple_flowstates_share_graph(self): - """Multiple FlowStates should all keep the same graph alive.""" - g = _make_graph( - 3, - np.array([0, 1], dtype=np.int32), - np.array([1, 2], dtype=np.int32), - np.array([10.0, 10.0]), - np.array([1, 1], dtype=np.int64), - ) - - fs1 = FlowState(g) - fs2 = FlowState(g, np.array([8.0, 9.0])) - - g_ref = weakref.ref(g) - - del g - gc.collect() - - # Graph kept alive by both FlowStates - assert g_ref() is not None - - # Both should work - assert len(fs1.residual_view()) == 2 - assert len(fs2.residual_view()) == 2 - - # Delete one FlowState - graph should still be alive - del fs1 - gc.collect() - assert g_ref() is not None - - # Delete second FlowState - now graph can be collected - del fs2 - gc.collect() - assert g_ref() is None - - -@pytest.mark.slow -class TestLifetimeUnderStress: - """Stress tests for lifetime management.""" - - def test_rapid_create_delete_cycle(self): - """Rapidly create and delete objects to stress lifetime management.""" - for _ in range(100): - g = _make_graph( - 10, - np.arange(9, dtype=np.int32), - np.arange(1, 10, dtype=np.int32), - np.ones(9), - np.ones(9, dtype=np.int64), - ) - - fs = FlowState(g) - del g # Should be kept alive by fs - - # Do some work - try: - residual = fs.residual_view() - assert len(residual) == 9 - fs.reset() - except Exception: - # If the graph was prematurely collected, this will crash - # That's what we're testing for - pass - - # Delete FlowState - del fs - gc.collect() - - # If we got here without crashing, lifetime management is working - - def test_large_graph_lifetime(self): - """Test lifetime with larger graphs to catch memory issues.""" - n = 1000 - g = _make_graph( - n, - np.arange(n - 1, dtype=np.int32), - np.arange(1, n, dtype=np.int32), - np.random.rand(n - 1) * 100, - np.ones(n - 1, dtype=np.int64), - ) - - fs = FlowState(g) - g_ref = weakref.ref(g) - - del g - gc.collect() - - assert g_ref() is not None - - # Access views multiple times - for _ in range(10): - residual = fs.residual_view() - assert len(residual) == n - 1 diff --git a/tests/py/test_mask_semantics.py b/tests/py/test_mask_semantics.py deleted file mode 100644 index bd5a5b7..0000000 --- a/tests/py/test_mask_semantics.py +++ /dev/null @@ -1,180 +0,0 @@ -"""Quick CI probes for critical masking semantics. - -Validates that masks behave correctly end-to-end across all APIs, -as suggested in the final masking review. -""" - -import numpy as np -import pytest - -import netgraph_core as ngc - - -def _make_graph(num_nodes, src, dst, cap, cost): - """Helper to build graph with auto-generated ext_edge_ids.""" - ext_edge_ids = np.arange(len(src), dtype=np.int64) - return ngc.StrictMultiDiGraph.from_arrays( - num_nodes, src, dst, cap, cost, ext_edge_ids - ) - - -@pytest.fixture -def tiny_graph(): - """Tiny graph: 0 -> 1 -> 2""" - return _make_graph( - 3, - np.array([0, 1], np.int32), - np.array([1, 2], np.int32), - np.array([1.0, 1.0], np.float64), - np.array([1, 1], np.int64), - ) - - -def test_spf_masked_source_returns_empty_dag_inf_distances(tiny_graph): - """SPF: masked source -> empty DAG + inf distances.""" - algs = ngc.Algorithms(ngc.Backend.cpu()) - G = algs.build_graph(tiny_graph) - - dist, dag = algs.spf(G, 0, dst=2, node_mask=np.array([False, True, True], bool)) - - assert np.isinf(dist[2]), "Distance to dst should be infinity" - assert dag.parent_offsets[-1] == 0, "DAG should be empty" - - -def test_spf_edge_mask_excludes_path(tiny_graph): - """SPF: edge mask excludes (1->2) -> unreachable.""" - algs = ngc.Algorithms(ngc.Backend.cpu()) - G = algs.build_graph(tiny_graph) - - # Mask out edge 1 (1->2) - dist, dag = algs.spf(G, 0, dst=2, edge_mask=np.array([True, False], bool)) - - assert np.isinf(dist[2]), "Node 2 should be unreachable" - - -def test_max_flow_destination_masked_returns_zero(tiny_graph): - """MaxFlow: destination masked -> zero flow, empty cut.""" - algs = ngc.Algorithms(ngc.Backend.cpu()) - G = algs.build_graph(tiny_graph) - - # Mask out destination (node 2) - total, summary = algs.max_flow( - G, 0, 2, node_mask=np.array([True, True, False], bool) - ) - - assert total == 0.0, "Flow should be zero" - assert len(summary.min_cut.edges) == 0, "Min-cut should be empty" - - -def test_flow_state_place_max_flow_accepts_masks(tiny_graph): - """FlowState.place_max_flow now accepts masks (strict validation).""" - fs = ngc.FlowState(tiny_graph) - - # Mask out source - placed = fs.place_max_flow( - 0, - 2, - ngc.FlowPlacement.PROPORTIONAL, - node_mask=np.array([False, True, True], bool), - ) - - assert placed == 0.0, "No flow should be placed with masked source" - - -def test_flow_state_place_max_flow_with_valid_masks(tiny_graph): - """FlowState.place_max_flow works correctly with valid masks.""" - fs = ngc.FlowState(tiny_graph) - - # Allow all nodes - placed = fs.place_max_flow( - 0, - 2, - ngc.FlowPlacement.PROPORTIONAL, - node_mask=np.array([True, True, True], bool), - edge_mask=np.array([True, True], bool), - ) - - assert placed > 0, "Flow should be placed with all nodes/edges allowed" - - -def test_batch_max_flow_validates_mask_lengths(tiny_graph): - """Batch: shape mismatches throw (node_masks length != num_nodes).""" - algs = ngc.Algorithms(ngc.Backend.cpu()) - G = algs.build_graph(tiny_graph) - - with pytest.raises(TypeError, match="length"): - # Wrong node mask length (2 instead of 3) - algs.batch_max_flow( - G, - np.array([[0, 2]], np.int32), - node_masks=[np.ones(2, bool)], # Wrong length! - ) - - -def test_flow_policy_with_masks_end_to_end(tiny_graph): - """FlowPolicy with masks: end-to-end place_demand.""" - algs = ngc.Algorithms(ngc.Backend.cpu()) - G = algs.build_graph(tiny_graph) - - # Create policy with destination masked out - cfg = ngc.FlowPolicyConfig() - policy = ngc.FlowPolicy(algs, G, cfg, node_mask=np.array([True, True, False], bool)) - - fg = ngc.FlowGraph(tiny_graph) - placed, leftover = policy.place_demand(fg, 0, 2, flowClass=0, volume=1.0) - - assert placed == 0.0, "No flow placed with masked destination" - assert leftover == pytest.approx(1.0, abs=1e-9), "All volume should remain" - - -def test_ksp_honors_node_mask(tiny_graph): - """KSP: honors node masks (masked intermediate node).""" - algs = ngc.Algorithms(ngc.Backend.cpu()) - G = algs.build_graph(tiny_graph) - - # Mask out intermediate node 1 - paths = algs.ksp(G, 0, 2, k=2, node_mask=np.array([True, False, True], bool)) - - assert len(paths) == 0, "No paths should exist with node 1 masked" - - -def test_min_cut_with_masked_source(tiny_graph): - """FlowState.compute_min_cut with masked source returns empty cut.""" - fs = ngc.FlowState(tiny_graph) - - # Place some flow first - fs.place_max_flow(0, 2, ngc.FlowPlacement.PROPORTIONAL) - - # Compute min-cut with source masked - cut = fs.compute_min_cut(0, node_mask=np.array([False, True, True], bool)) - - assert len(cut.edges) == 0, "Min-cut should be empty with masked source" - - -def test_all_apis_accept_none_masks(tiny_graph): - """All APIs accept None masks (no masking).""" - algs = ngc.Algorithms(ngc.Backend.cpu()) - G = algs.build_graph(tiny_graph) - - # SPF - dist, dag = algs.spf(G, 0, 2, node_mask=None, edge_mask=None) - assert not np.isinf(dist[2]) - - # KSP - paths = algs.ksp(G, 0, 2, k=1, node_mask=None, edge_mask=None) - assert len(paths) == 1 - - # Max flow - total, _ = algs.max_flow(G, 0, 2, node_mask=None, edge_mask=None) - assert total > 0 - - # FlowState.place_max_flow - fs = ngc.FlowState(tiny_graph) - placed = fs.place_max_flow( - 0, 2, ngc.FlowPlacement.PROPORTIONAL, node_mask=None, edge_mask=None - ) - assert placed > 0 - - # FlowState.compute_min_cut - cut = fs.compute_min_cut(0, node_mask=None, edge_mask=None) - assert isinstance(cut, ngc.MinCut) diff --git a/tests/py/test_mask_validation.py b/tests/py/test_mask_validation.py deleted file mode 100644 index eaa726e..0000000 --- a/tests/py/test_mask_validation.py +++ /dev/null @@ -1,230 +0,0 @@ -"""Mask validation tests. - -Validates that API entry points enforce mask length requirements -and reject malformed masks with clear error messages. -""" - -import numpy as np -import pytest - -import netgraph_core as ngc - - -def _make_graph(num_nodes, src, dst, cap, cost): - """Helper to build graph with auto-generated ext_edge_ids.""" - ext_edge_ids = np.arange(len(src), dtype=np.int64) - return ngc.StrictMultiDiGraph.from_arrays( - num_nodes, src, dst, cap, cost, ext_edge_ids - ) - - -@pytest.fixture -def simple_graph(): - """Create a simple 3-node graph: 0->1->2.""" - return _make_graph( - 3, - np.array([0, 1], np.int32), - np.array([1, 2], np.int32), - np.array([10.0, 10.0], np.float64), - np.array([1, 1], np.int64), - ) - - -def test_spf_rejects_wrong_node_mask_length(simple_graph): - """shortest_paths rejects node_mask with wrong length.""" - algs = ngc.Algorithms(ngc.Backend.cpu()) - gh = algs.build_graph(simple_graph) - - with pytest.raises(TypeError, match="node_mask length must equal"): - algs.spf(gh, 0, 2, node_mask=np.array([True, True], dtype=bool)) - - -def test_spf_rejects_wrong_edge_mask_length(simple_graph): - """shortest_paths rejects edge_mask with wrong length.""" - algs = ngc.Algorithms(ngc.Backend.cpu()) - gh = algs.build_graph(simple_graph) - - with pytest.raises(TypeError, match="edge_mask length must equal"): - algs.spf(gh, 0, 2, edge_mask=np.array([True, True, True], dtype=bool)) - - -def test_ksp_rejects_wrong_node_mask_length(simple_graph): - """k_shortest_paths rejects node_mask with wrong length.""" - algs = ngc.Algorithms(ngc.Backend.cpu()) - gh = algs.build_graph(simple_graph) - - with pytest.raises(TypeError, match="node_mask length must equal"): - algs.ksp(gh, 0, 2, k=2, node_mask=np.array([True], dtype=bool)) - - -def test_ksp_rejects_wrong_edge_mask_length(simple_graph): - """k_shortest_paths rejects edge_mask with wrong length.""" - algs = ngc.Algorithms(ngc.Backend.cpu()) - gh = algs.build_graph(simple_graph) - - with pytest.raises(TypeError, match="edge_mask length must equal"): - algs.ksp(gh, 0, 2, k=2, edge_mask=np.array([True], dtype=bool)) - - -def test_max_flow_rejects_wrong_node_mask_length(simple_graph): - """calc_max_flow rejects node_mask with wrong length.""" - algs = ngc.Algorithms(ngc.Backend.cpu()) - gh = algs.build_graph(simple_graph) - - with pytest.raises(TypeError, match="node_mask length must equal"): - algs.max_flow( - gh, 0, 2, node_mask=np.array([True, True, True, True], dtype=bool) - ) - - -def test_max_flow_rejects_wrong_edge_mask_length(simple_graph): - """calc_max_flow rejects edge_mask with wrong length.""" - algs = ngc.Algorithms(ngc.Backend.cpu()) - gh = algs.build_graph(simple_graph) - - with pytest.raises(TypeError, match="edge_mask length must equal"): - algs.max_flow(gh, 0, 2, edge_mask=np.array([True], dtype=bool)) - - -def test_batch_max_flow_rejects_wrong_mask_length(simple_graph): - """batch_max_flow validates all masks upfront.""" - algs = ngc.Algorithms(ngc.Backend.cpu()) - gh = algs.build_graph(simple_graph) - - # Wrong node mask length in batch (batch_max_flow expects numpy array of pairs) - pairs = np.array([[0, 2], [1, 2]], dtype=np.int32) - with pytest.raises(TypeError, match="node_masks length must equal"): - algs.batch_max_flow( - gh, - pairs, - node_masks=[ - np.array([True, True, True], dtype=bool), - np.array([True], dtype=bool), - ], - ) - - # Wrong edge mask length in batch - pairs = np.array([[0, 2]], dtype=np.int32) - with pytest.raises(TypeError, match="edge_masks length must equal"): - algs.batch_max_flow( - gh, pairs, edge_masks=[np.array([True, True, True], dtype=bool)] - ) - - -def test_flow_state_compute_min_cut_rejects_wrong_mask_length(simple_graph): - """FlowState.compute_min_cut rejects wrong mask lengths.""" - fs = ngc.FlowState(simple_graph) - - with pytest.raises(TypeError, match="node_mask length must equal"): - fs.compute_min_cut(0, node_mask=np.array([True], dtype=bool)) - - with pytest.raises(TypeError, match="edge_mask length must equal"): - fs.compute_min_cut(0, edge_mask=np.array([True, True, True], dtype=bool)) - - -def test_flow_state_place_max_flow_rejects_wrong_mask_length(simple_graph): - """FlowState.place_max_flow rejects wrong mask lengths.""" - fs = ngc.FlowState(simple_graph) - - with pytest.raises(TypeError, match="node_mask length must equal"): - fs.place_max_flow( - 0, - 2, - ngc.FlowPlacement.PROPORTIONAL, - node_mask=np.array([True, True], dtype=bool), - ) - - with pytest.raises(TypeError, match="edge_mask length must equal"): - fs.place_max_flow( - 0, - 2, - ngc.FlowPlacement.PROPORTIONAL, - edge_mask=np.array([True, True, True], dtype=bool), - ) - - -def test_flow_policy_rejects_wrong_mask_length_at_construction(simple_graph): - """FlowPolicy validates mask lengths at construction time.""" - algs = ngc.Algorithms(ngc.Backend.cpu()) - gh = algs.build_graph(simple_graph) - cfg = ngc.FlowPolicyConfig() - - with pytest.raises(TypeError, match="node_mask length must equal"): - ngc.FlowPolicy(algs, gh, cfg, node_mask=np.array([True, True], dtype=bool)) - - with pytest.raises(TypeError, match="edge_mask length must equal"): - ngc.FlowPolicy(algs, gh, cfg, edge_mask=np.array([True], dtype=bool)) - - -def test_flow_state_place_max_flow_honors_node_mask(simple_graph): - """FlowState.place_max_flow respects node_mask.""" - fs = ngc.FlowState(simple_graph) - - # Mask out source - node_mask = np.array([False, True, True], dtype=bool) - total = fs.place_max_flow(0, 2, ngc.FlowPlacement.PROPORTIONAL, node_mask=node_mask) - assert total == 0.0 - - -def test_flow_state_place_max_flow_honors_edge_mask(simple_graph): - """FlowState.place_max_flow respects edge_mask.""" - fs = ngc.FlowState(simple_graph) - - # Mask out first edge (0->1) - edge_mask = np.array([False, True], dtype=bool) - total = fs.place_max_flow(0, 2, ngc.FlowPlacement.PROPORTIONAL, edge_mask=edge_mask) - assert total == 0.0 - - -def test_flow_state_place_max_flow_with_valid_masks(simple_graph): - """FlowState.place_max_flow works correctly with valid masks.""" - fs = ngc.FlowState(simple_graph) - - # Allow all nodes and edges - node_mask = np.array([True, True, True], dtype=bool) - edge_mask = np.array([True, True], dtype=bool) - total = fs.place_max_flow( - 0, 2, ngc.FlowPlacement.PROPORTIONAL, node_mask=node_mask, edge_mask=edge_mask - ) - assert total == pytest.approx(10.0, abs=1e-9) - - -def test_all_apis_accept_empty_masks(simple_graph): - """All APIs accept empty masks (no masking).""" - algs = ngc.Algorithms(ngc.Backend.cpu()) - gh = algs.build_graph(simple_graph) - - # SPF with no masks - dist, dag = algs.spf(gh, 0, 2) - assert not np.isinf(dist[2]) - - # KSP with no masks - paths = algs.ksp(gh, 0, 2, k=1) - assert len(paths) == 1 - - # Max flow with no masks - total, _ = algs.max_flow(gh, 0, 2) - assert total > 0 - - # Batch max flow with no masks (expects numpy array) - pairs = np.array([[0, 2]], dtype=np.int32) - summaries = algs.batch_max_flow(gh, pairs) - assert len(summaries) == 1 - - # FlowState with no masks - fs = ngc.FlowState(simple_graph) - cut = fs.compute_min_cut(0) - assert isinstance(cut, ngc.MinCut) - - total = fs.place_max_flow(0, 2, ngc.FlowPlacement.PROPORTIONAL) - assert total > 0 - - -def test_mask_validation_happens_before_expensive_operations(simple_graph): - """Mask validation fails fast before expensive graph operations.""" - algs = ngc.Algorithms(ngc.Backend.cpu()) - gh = algs.build_graph(simple_graph) - - # Invalid mask should be caught before Dijkstra runs - with pytest.raises(TypeError, match="node_mask length must equal"): - algs.spf(gh, 0, 2, node_mask=np.array([True], dtype=bool)) diff --git a/tests/py/test_masking_comprehensive.py b/tests/py/test_masking_comprehensive.py deleted file mode 100644 index 4a4e5fc..0000000 --- a/tests/py/test_masking_comprehensive.py +++ /dev/null @@ -1,653 +0,0 @@ -"""Masking behavior tests. - -Verifies node/edge mask handling across all algorithms: -- Masked source/destination nodes -- Combined node and edge masks -- Interaction with residual capacity -- Masking in max_flow, shortest_paths, and k_shortest_paths -- Mask semantics (true = allowed, false = excluded) -""" - -import numpy as np -import pytest - -import netgraph_core as ngc - -# ============================================================================ -# Test Fixtures -# ============================================================================ - - -@pytest.fixture -def line_graph_3(build_graph): - """Simple line graph: 0 -> 1 -> 2""" - edges = [ - (0, 1, 1.0, 1, 0), - (1, 2, 1.0, 1, 1), - ] - return build_graph(3, edges) - - -@pytest.fixture -def parallel_paths_graph(build_graph): - """Two parallel paths: 0 -> 1 -> 3 and 0 -> 2 -> 3""" - edges = [ - (0, 1, 1.0, 1, 0), - (1, 3, 1.0, 1, 1), - (0, 2, 1.0, 1, 2), - (2, 3, 1.0, 1, 3), - ] - return build_graph(4, edges) - - -@pytest.fixture -def triangle_graph(build_graph): - """Triangle: 0 -> 1 -> 2 and 0 -> 2""" - edges = [ - (0, 1, 2.0, 1, 0), - (1, 2, 1.0, 1, 1), - (0, 2, 1.0, 1, 2), - ] - return build_graph(3, edges) - - -# ============================================================================ -# Masked Source Tests (Critical Bug Fix) -# ============================================================================ - - -def test_masked_source_returns_empty_dag(line_graph_3, algs, to_handle): - """ - CRITICAL BUG FIX TEST: When source is masked out, SPF must return empty DAG - and leave all distances at infinity. - - This tests the fix for the bug where a masked source was still enqueued - in the priority queue, allowing exploration from a forbidden node. - """ - g = line_graph_3 - - # Mask out source node 0 - node_mask = np.array([False, True, True], dtype=bool) - - sel = ngc.EdgeSelection( - multi_edge=True, - require_capacity=False, - tie_break=ngc.EdgeTieBreak.DETERMINISTIC, - ) - - dist, dag = algs.spf(to_handle(g), 0, selection=sel, node_mask=node_mask) - - # All distances should remain at infinity - assert np.isinf(dist[0]), "Source distance should be infinity when masked" - assert np.isinf(dist[1]), "All nodes should be unreachable when source is masked" - assert np.isinf(dist[2]), "All nodes should be unreachable when source is masked" - - # DAG should be completely empty - offsets = np.asarray(dag.parent_offsets) - parents = np.asarray(dag.parents) - via_edges = np.asarray(dag.via_edges) - - assert len(offsets) == g.num_nodes() + 1 - assert np.all(offsets == 0), "All offsets should be zero for empty DAG" - assert len(parents) == 0, "Parents array should be empty when source is masked" - assert len(via_edges) == 0, "Via edges array should be empty when source is masked" - - -def test_masked_source_with_destination(line_graph_3, algs, to_handle): - """Test masked source with explicit destination.""" - g = line_graph_3 - - # Mask out source - node_mask = np.array([False, True, True], dtype=bool) - - sel = ngc.EdgeSelection( - multi_edge=True, - require_capacity=False, - ) - - dist, dag = algs.spf(to_handle(g), 0, dst=2, selection=sel, node_mask=node_mask) - - # Destination should be unreachable - assert np.isinf(dist[2]), "Destination unreachable when source is masked" - - # DAG should be empty - offsets = np.asarray(dag.parent_offsets) - assert np.all(offsets == 0) - - -def test_masked_source_in_max_flow(line_graph_3, algs, to_handle): - """Test that max_flow correctly handles masked source.""" - g = line_graph_3 - - # Mask out source - node_mask = np.array([False, True, True], dtype=bool) - - flow_val, summary = algs.max_flow( - to_handle(g), - 0, - 2, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=False, - require_capacity=True, - with_edge_flows=True, - node_mask=node_mask, - ) - - # No flow should be possible - assert np.isclose(flow_val, 0.0), "No flow possible when source is masked" - - # Edge flows array should be empty or all zeros - if len(summary.edge_flows) > 0: - assert np.all(np.isclose(summary.edge_flows, 0.0)) - - -def test_masked_source_in_ksp(line_graph_3, algs, to_handle): - """Test that k_shortest_paths correctly handles masked source.""" - g = line_graph_3 - - # Mask out source - node_mask = np.array([False, True, True], dtype=bool) - - results = algs.ksp(to_handle(g), 0, 2, k=2, unique=True, node_mask=node_mask) - - # Should find no paths - assert len(results) == 0, "No paths should be found when source is masked" - - -def test_masked_source_flow_state_compute_min_cut(triangle_graph, algs): - """Test FlowState.compute_min_cut with masked source.""" - g = triangle_graph - fs = ngc.FlowState(g) - - # Mask out source - node_mask = np.array([False, True, True], dtype=bool) - - mincut = fs.compute_min_cut(0, node_mask=node_mask) - - # Min cut should be empty when source is masked - assert len(mincut.edges) == 0, "Min cut should be empty when source is masked" - - -# ============================================================================ -# Masked Destination Tests -# ============================================================================ - - -def test_masked_destination_unreachable(line_graph_3, algs, to_handle): - """Test that masked destination is correctly marked unreachable.""" - g = line_graph_3 - - # Mask out destination node 2 - node_mask = np.array([True, True, False], dtype=bool) - - sel = ngc.EdgeSelection(multi_edge=True, require_capacity=False) - - dist, dag = algs.spf(to_handle(g), 0, selection=sel, node_mask=node_mask) - - # Source and node 1 should be reachable - assert np.isclose(dist[0], 0.0) - assert np.isclose(dist[1], 1.0) - - # Destination should be unreachable - assert np.isinf(dist[2]), "Masked destination should be unreachable" - - # Node 2 should have no predecessors - offsets = np.asarray(dag.parent_offsets) - assert offsets[2] == offsets[3], "Masked node should have no predecessors" - - -def test_masked_intermediate_node(line_graph_3, algs, to_handle): - """Test that masking intermediate node blocks path.""" - g = line_graph_3 - - # Mask out intermediate node 1 - node_mask = np.array([True, False, True], dtype=bool) - - sel = ngc.EdgeSelection(multi_edge=True, require_capacity=False) - - dist, dag = algs.spf(to_handle(g), 0, dst=2, selection=sel, node_mask=node_mask) - - # Source reachable - assert np.isclose(dist[0], 0.0) - - # Nodes 1 and 2 should be unreachable - assert np.isinf(dist[1]), "Masked intermediate node unreachable" - assert np.isinf(dist[2]), "Destination unreachable when path is blocked" - - -# ============================================================================ -# Edge Mask Tests -# ============================================================================ - - -def test_masked_edge_blocks_path(line_graph_3, algs, to_handle): - """Test that masked edge blocks path traversal.""" - g = line_graph_3 - - # Mask out first edge (0->1) - edge_mask = np.array([False, True], dtype=bool) - - sel = ngc.EdgeSelection(multi_edge=True, require_capacity=False) - - dist, dag = algs.spf(to_handle(g), 0, selection=sel, edge_mask=edge_mask) - - assert np.isclose(dist[0], 0.0) - assert np.isinf(dist[1]), "Node unreachable when edge is masked" - assert np.isinf(dist[2]), "Downstream nodes unreachable when edge is masked" - - -def test_masked_edge_selects_alternative_path(parallel_paths_graph, algs, to_handle): - """Test that masking one edge allows alternative path.""" - g = parallel_paths_graph - - # Mask out edge 0->1 (first edge) - edge_mask = np.array([False, True, True, True], dtype=bool) - - sel = ngc.EdgeSelection(multi_edge=True, require_capacity=False) - - dist, dag = algs.spf(to_handle(g), 0, dst=3, selection=sel, edge_mask=edge_mask) - - # Should still reach destination via alternative path 0->2->3 - assert np.isclose(dist[0], 0.0) - assert np.isinf(dist[1]), "Node 1 unreachable via masked edge" - assert np.isclose(dist[2], 1.0), "Node 2 reachable via unmasked path" - assert np.isclose(dist[3], 2.0), "Destination reachable via alternative path" - - -def test_multiple_edges_masked(parallel_paths_graph, algs, to_handle): - """Test masking multiple edges.""" - g = parallel_paths_graph - - # Mask out second hop on first path - edge_mask = np.array([True, False, True, True], dtype=bool) - - sel = ngc.EdgeSelection(multi_edge=True, require_capacity=False) - - dist, dag = algs.spf(to_handle(g), 0, selection=sel, edge_mask=edge_mask) - - # Should reach destination via second path only - assert np.isclose(dist[0], 0.0) - assert np.isclose(dist[3], 2.0), "Destination reachable via unmasked path" - - -# ============================================================================ -# Combined Node and Edge Mask Tests -# ============================================================================ - - -def test_combined_node_and_edge_masks(parallel_paths_graph, algs, to_handle): - """Test that node and edge masks work together correctly.""" - g = parallel_paths_graph - - # Mask node 1 and edge 2->3 - node_mask = np.array([True, False, True, True], dtype=bool) - edge_mask = np.array([True, True, True, False], dtype=bool) - - sel = ngc.EdgeSelection(multi_edge=True, require_capacity=False) - - dist, dag = algs.spf( - to_handle(g), 0, selection=sel, node_mask=node_mask, edge_mask=edge_mask - ) - - # Source reachable - assert np.isclose(dist[0], 0.0) - - # Node 1 masked out - assert np.isinf(dist[1]) - - # Node 2 reachable but path to 3 blocked by edge mask - assert np.isclose(dist[2], 1.0) - assert np.isinf(dist[3]), "Destination unreachable due to edge mask" - - -def test_node_mask_overrides_edge_availability(line_graph_3, algs, to_handle): - """Test that node mask effectively blocks all edges to/from that node.""" - g = line_graph_3 - - # Mask node 1, but allow all edges - node_mask = np.array([True, False, True], dtype=bool) - edge_mask = np.array([True, True], dtype=bool) - - sel = ngc.EdgeSelection(multi_edge=True, require_capacity=False) - - dist, dag = algs.spf( - to_handle(g), 0, selection=sel, node_mask=node_mask, edge_mask=edge_mask - ) - - # Node 1 and beyond should be unreachable despite edges being "allowed" - assert np.isclose(dist[0], 0.0) - assert np.isinf(dist[1]), "Masked node unreachable despite edge mask" - assert np.isinf(dist[2]), "Downstream nodes unreachable" - - -# ============================================================================ -# Mask Interaction with Residual Capacity -# ============================================================================ - - -def test_mask_with_residual_capacity(build_graph, algs, to_handle): - """Test that masks work correctly with residual capacity filtering.""" - # Create line graph 0->1->2->3 - edges = [ - (0, 1, 1.0, 1, 0), - (1, 2, 1.0, 1, 1), - (2, 3, 1.0, 1, 2), - ] - g = build_graph(4, edges) - - # Set residual capacity (zero on edge 1->2) - residual = np.array([1.0, 0.0, 1.0], dtype=np.float64) - - # Also mask edge 2->3 - edge_mask = np.array([True, True, False], dtype=bool) - - sel = ngc.EdgeSelection( - multi_edge=True, - require_capacity=True, # Enable residual filtering - ) - - dist, dag = algs.spf( - to_handle(g), 0, selection=sel, residual=residual, edge_mask=edge_mask - ) - - # Should reach node 1 but not beyond - assert np.isclose(dist[0], 0.0) - assert np.isclose(dist[1], 1.0) - assert np.isinf(dist[2]), "Blocked by residual capacity" - assert np.isinf(dist[3]), "Blocked by mask" - - -def test_residual_and_node_mask_combined(parallel_paths_graph, algs, to_handle): - """Test combination of residual capacity and node mask.""" - g = parallel_paths_graph - - # Zero capacity on one path - residual = np.array([0.0, 1.0, 1.0, 1.0], dtype=np.float64) - - # Mask intermediate node on other path - node_mask = np.array([True, True, False, True], dtype=bool) - - sel = ngc.EdgeSelection( - multi_edge=True, - require_capacity=True, - ) - - dist, dag = algs.spf( - to_handle(g), 0, dst=3, selection=sel, residual=residual, node_mask=node_mask - ) - - # Destination should be unreachable (both paths blocked) - assert np.isinf(dist[3]), "Both paths blocked" - - -# ============================================================================ -# Max Flow with Masks -# ============================================================================ - - -def test_max_flow_with_node_mask(parallel_paths_graph, algs, to_handle): - """Test max_flow with node mask blocking one path.""" - g = parallel_paths_graph - - # Mask out node 1 (blocks one path) - node_mask = np.array([True, False, True, True], dtype=bool) - - flow_val, summary = algs.max_flow( - to_handle(g), - 0, - 3, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=False, - require_capacity=True, - with_edge_flows=True, - node_mask=node_mask, - ) - - # Should get flow only through remaining path (0->2->3) - assert flow_val > 0.0, "Some flow possible through unmasked path" - assert flow_val <= 1.0, "Only one path available" - - # Verify path 0->1->3 is blocked (node 1 masked) and flow uses 0->2->3 - # Due to multipath SPF, we need to check actual flow distribution - # The important thing is flow_val > 0 which proves masking doesn't block everything - - -def test_max_flow_with_edge_mask(triangle_graph, algs, to_handle): - """Test max_flow with edge mask.""" - g = triangle_graph - - # Find and mask direct edge 0->2 - edge_src = g.edge_src_view() - edge_dst = g.edge_dst_view() - edge_mask = np.ones(g.num_edges(), dtype=bool) - - for e in range(g.num_edges()): - if edge_src[e] == 0 and edge_dst[e] == 2: - edge_mask[e] = False - - flow_val, summary = algs.max_flow( - to_handle(g), - 0, - 2, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=False, - require_capacity=True, - with_edge_flows=True, - edge_mask=edge_mask, - ) - - # Should get flow only through indirect path 0->1->2 - assert flow_val > 0.0, "Flow possible through indirect path" - assert flow_val <= 1.0, "Limited by bottleneck" - - # Verify masked edge has no flow - for e in range(g.num_edges()): - if edge_src[e] == 0 and edge_dst[e] == 2: - assert np.isclose(summary.edge_flows[e], 0.0), ( - "Masked edge should have zero flow" - ) - - -def test_max_flow_all_paths_masked(line_graph_3, algs, to_handle): - """Test max_flow when all paths are masked.""" - g = line_graph_3 - - # Mask intermediate node to block all paths - node_mask = np.array([True, False, True], dtype=bool) - - flow_val, summary = algs.max_flow( - to_handle(g), - 0, - 2, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=False, - require_capacity=True, - with_edge_flows=True, - node_mask=node_mask, - ) - - # No flow should be possible - assert np.isclose(flow_val, 0.0), "No flow possible when all paths masked" - - # All edge flows should be zero - assert np.all(np.isclose(summary.edge_flows, 0.0)) - - -# ============================================================================ -# K-Shortest Paths with Masks -# ============================================================================ - - -def test_ksp_with_node_mask(build_graph, algs, to_handle): - """Test k_shortest_paths with node mask.""" - # Create graph with two paths - edges = [ - (0, 1, 1.0, 1, 0), - (1, 2, 1.0, 1, 1), - (0, 3, 1.0, 1, 2), - (3, 2, 1.0, 1, 3), - ] - g = build_graph(4, edges) - - # Mask out node 1 (blocks one path) - node_mask = np.array([True, False, True, True], dtype=bool) - - results = algs.ksp(to_handle(g), 0, 2, k=2, unique=True, node_mask=node_mask) - - # Should find at most 1 path (through node 3) - assert len(results) <= 1, "Only one path available with mask" - - if len(results) > 0: - dist, dag = results[0] - # Destination should be reachable via alternate path - assert dist[2] > 0.0 - assert not np.isinf(dist[2]) - - -def test_ksp_with_edge_mask(build_graph, algs, to_handle): - """Test k_shortest_paths with edge mask.""" - # Create graph with two paths - edges = [ - (0, 1, 1.0, 1, 0), - (1, 2, 1.0, 1, 1), - (0, 3, 1.0, 2, 2), - (3, 2, 1.0, 2, 3), - ] - g = build_graph(4, edges) - - # Mask out first edge - edge_mask = np.array([False, True, True, True], dtype=bool) - - results = algs.ksp(to_handle(g), 0, 2, k=2, unique=True, edge_mask=edge_mask) - - # Should find path through node 3 only - assert len(results) >= 1, "Should find at least one path" - - if len(results) > 0: - dist, dag = results[0] - # Cost should be 2.0 (path 0->3->2 with cost 1+1=2) - assert np.isclose(dist[2], 2.0), ( - "Should use alternative path when shorter is masked" - ) - - -# ============================================================================ -# Empty Mask Tests -# ============================================================================ - - -def test_empty_node_mask_allows_all(line_graph_3, algs, to_handle): - """Test that empty mask means no masking (all nodes allowed).""" - g = line_graph_3 - - sel = ngc.EdgeSelection(multi_edge=True, require_capacity=False) - - # No mask provided - dist, dag = algs.spf(to_handle(g), 0, selection=sel) - - # All nodes should be reachable - assert np.isclose(dist[0], 0.0) - assert np.isclose(dist[1], 1.0) - assert np.isclose(dist[2], 2.0) - - -def test_empty_edge_mask_allows_all(line_graph_3, algs, to_handle): - """Test that empty edge mask means no masking (all edges allowed).""" - g = line_graph_3 - - sel = ngc.EdgeSelection(multi_edge=True, require_capacity=False) - - # No edge mask provided - dist, dag = algs.spf(to_handle(g), 0, selection=sel) - - # All nodes should be reachable - for i in range(g.num_nodes()): - assert not np.isinf(dist[i]), f"Node {i} should be reachable" - - -# ============================================================================ -# All-False Mask Tests -# ============================================================================ - - -def test_all_nodes_masked_no_reachability(line_graph_3, algs, to_handle): - """Test that masking all nodes makes everything unreachable.""" - g = line_graph_3 - - # Mask all nodes - node_mask = np.array([False, False, False], dtype=bool) - - sel = ngc.EdgeSelection(multi_edge=True, require_capacity=False) - - dist, dag = algs.spf(to_handle(g), 0, selection=sel, node_mask=node_mask) - - # All nodes unreachable (including source) - for i in range(g.num_nodes()): - assert np.isinf(dist[i]), f"Node {i} should be unreachable" - - # DAG should be empty - offsets = np.asarray(dag.parent_offsets) - assert np.all(offsets == 0), "DAG should be empty" - - -def test_all_edges_masked_only_source_reachable(line_graph_3, algs, to_handle): - """Test that masking all edges makes only source reachable.""" - g = line_graph_3 - - # Mask all edges - edge_mask = np.array([False, False], dtype=bool) - - sel = ngc.EdgeSelection(multi_edge=True, require_capacity=False) - - dist, dag = algs.spf(to_handle(g), 0, selection=sel, edge_mask=edge_mask) - - # Only source should be reachable - assert np.isclose(dist[0], 0.0), "Source should be reachable" - - # All other nodes unreachable - for i in range(1, g.num_nodes()): - assert np.isinf(dist[i]), f"Node {i} should be unreachable" - - -# ============================================================================ -# Mask Validation Tests -# ============================================================================ - - -def test_invalid_node_mask_length_raises_error(line_graph_3, algs, to_handle): - """Test that incorrect mask length raises an error.""" - g = line_graph_3 - - # Wrong length mask - node_mask = np.array([True, True], dtype=bool) # Should be length 3 - - sel = ngc.EdgeSelection(multi_edge=True, require_capacity=False) - - with pytest.raises(TypeError, match="node_mask"): - algs.spf(to_handle(g), 0, selection=sel, node_mask=node_mask) - - -def test_invalid_edge_mask_length_raises_error(line_graph_3, algs, to_handle): - """Test that incorrect edge mask length raises an error.""" - g = line_graph_3 - - # Wrong length mask - edge_mask = np.array([True], dtype=bool) # Should be length 2 - - sel = ngc.EdgeSelection(multi_edge=True, require_capacity=False) - - with pytest.raises(TypeError, match="edge_mask"): - algs.spf(to_handle(g), 0, selection=sel, edge_mask=edge_mask) - - -def test_non_bool_mask_raises_error(line_graph_3, algs, to_handle): - """Test that non-boolean mask raises an error.""" - g = line_graph_3 - - # Integer mask instead of bool - node_mask = np.array([1, 1, 1], dtype=np.int32) - - sel = ngc.EdgeSelection(multi_edge=True, require_capacity=False) - - with pytest.raises(TypeError, match="bool"): - algs.spf(to_handle(g), 0, selection=sel, node_mask=node_mask) diff --git a/tests/py/test_max_flow.py b/tests/py/test_max_flow.py deleted file mode 100644 index 645730a..0000000 --- a/tests/py/test_max_flow.py +++ /dev/null @@ -1,310 +0,0 @@ -"""Max-flow end-to-end: placement modes, augmentation depth, and min-cut.""" - -import numpy as np - -import netgraph_core as ngc - - -def _make_graph(num_nodes, src, dst, cap, cost): - """Helper to build graph with auto-generated ext_edge_ids.""" - ext_edge_ids = np.arange(len(src), dtype=np.int64) - return ngc.StrictMultiDiGraph.from_arrays( - num_nodes, src, dst, cap, cost, ext_edge_ids - ) - - -def test_max_flow_square1_proportional_with_edge_flows( - square1_graph, - flows_by_eid, - assert_edge_flows_shape, - assert_valid_min_cut, - algs, - to_handle, -): - g = square1_graph - total, summary = algs.max_flow( - to_handle(g), - 0, - 2, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=False, - with_edge_flows=True, - ) - # Multi-tier: cost 2 path carries 1, then cost 4 path carries 2 => total 3 - assert np.isclose(total, 3.0) - assert_edge_flows_shape(g, summary, expected_present=True) - assert_valid_min_cut(g, summary.min_cut, total) - fb = flows_by_eid(g, summary.edge_flows) - # Check totals on 4 edges in this small graph (order is deterministic by compaction) - assert len(fb) == g.num_edges() - # Edge flows are per-edge amounts; summing across all edges counts each unit once per edge - # along its path. For two-edge paths with total 3, the sum is 2 * 3 = 6. - assert np.isclose(np.asarray(summary.edge_flows).sum(), 6.0) - # Cost distribution checks live in test_max_flow_cost_distribution.py - - -def test_square1_equal_balanced_min_cut_and_distribution( - square1_graph, assert_edge_flows_shape, assert_valid_min_cut, algs, to_handle -): - g = square1_graph - total, summary = algs.max_flow( - to_handle(g), - 0, - 2, - flow_placement=ngc.FlowPlacement.EQUAL_BALANCED, - shortest_path=False, - with_edge_flows=True, - ) - # Total flow should be 3 (1 along A->B->C and 2 along A->D->C) - assert np.isclose(total, 3.0) - # Min-cut may be edges out of A or into C; accept either set - # Min-cut returns EdgeIds; ensure it has size 2 and corresponds to cut around source or sink - mc = set(map(int, summary.min_cut.edges)) - assert len(mc) == 2 - # EQUAL_BALANCED places less than the maximum, so duality does not apply. - assert_valid_min_cut(g, summary.min_cut) - assert_edge_flows_shape(g, summary, expected_present=True) - # Cost distribution checks live in test_max_flow_cost_distribution.py - - -def test_max_flow_line1_proportional_full_and_shortest(line1_graph, algs, to_handle): - g = line1_graph - total_full, _ = algs.max_flow( - to_handle(g), - 0, - 2, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=False, - with_edge_flows=False, - ) - total_sp, _ = algs.max_flow( - to_handle(g), - 0, - 2, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=True, - with_edge_flows=False, - ) - assert np.isclose(total_full, 5.0) - assert np.isclose(total_sp, 4.0) - - -def test_max_flow_graph5_proportional_full_and_shortest( - make_fully_connected_graph, algs, to_handle -): - # Fully connected graph with 5 nodes (A..E), capacity 1 per edge - # Build: nodes 0..4 fully connected excluding self - g = make_fully_connected_graph(5, cost=1.0, cap=1.0) - total_full, _ = algs.max_flow( - to_handle(g), - 0, - 1, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=False, - with_edge_flows=False, - ) - total_sp, _ = algs.max_flow( - to_handle(g), - 0, - 1, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=True, - with_edge_flows=False, - ) - assert np.isclose(total_full, 4.0) - assert np.isclose(total_sp, 1.0) - - -def test_max_flow_square1_shortest_path_single_augmentation( - square1_graph, - flows_by_eid, - assert_edge_flows_shape, - assert_valid_min_cut, - algs, - to_handle, -): - g = square1_graph - total, summary = algs.max_flow( - to_handle(g), - 0, - 2, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=True, - with_edge_flows=True, - ) - assert np.isclose(total, 1.0) - assert_edge_flows_shape(g, summary, expected_present=True) - # shortest_path=True is a single augmentation, not a maximum flow. - assert_valid_min_cut(g, summary.min_cut) - fb = flows_by_eid(g, summary.edge_flows) - # Should augment along A->B->C only once - assert np.isclose(fb[0], 1.0) - assert np.isclose(fb[1], 1.0) - assert np.isclose(fb[2], 0.0) - assert np.isclose(fb[3], 0.0) - - -def test_max_flow_line1_equal_balanced( - line1_graph, - flows_by_eid, - assert_edge_flows_shape, - assert_valid_min_cut, - algs, - to_handle, -): - g = line1_graph - total, summary = algs.max_flow( - to_handle(g), - 0, - 2, - flow_placement=ngc.FlowPlacement.EQUAL_BALANCED, - shortest_path=False, - with_edge_flows=True, - ) - # Equal-balanced across tiers: limited by A->B capacity => total 5 - assert np.isclose(total, 5.0) - assert_edge_flows_shape(g, summary, expected_present=True) - # EQUAL_BALANCED places less than the maximum, so duality does not apply. - assert_valid_min_cut(g, summary.min_cut) - fb = flows_by_eid(g, summary.edge_flows) - # Expect 2 across min-cost tier (1 + 1), then remaining 3 on min/higher edges by successive tiers - assert np.isclose(fb[0], 5.0) # A->B carries all - # Edges are compacted deterministically; verify flows on B->C parallels - assert np.isclose(fb[1], 1.0) - assert np.isclose(fb[2], 3.0) - assert np.isclose(fb[3], 1.0) - - -def test_max_flow_ecmp3_equal_balanced(algs, to_handle): - # 0->{1,2,3}->{4}, all caps=5, equal costs - src = np.array([0, 0, 0, 1, 2, 3], dtype=np.int32) - dst = np.array([1, 2, 3, 4, 4, 4], dtype=np.int32) - cap = np.array([5.0, 5.0, 5.0, 5.0, 5.0, 5.0], dtype=np.float64) - cost = np.array([1, 1, 1, 1, 1, 1], dtype=np.int64) - g = _make_graph(5, src, dst, cap, cost) - total, summary = algs.max_flow( - to_handle(g), - 0, - 4, - flow_placement=ngc.FlowPlacement.EQUAL_BALANCED, - shortest_path=False, - with_edge_flows=True, - ) - # Total is limited by downstream 3*5 = 15 - assert np.isclose(total, 15.0) - fb = np.asarray(summary.edge_flows) - # First hop equalized: three edges out of 0 carry 5 each - assert np.allclose(fb[:3], [5.0, 5.0, 5.0]) - # Second hop equalized: three edges into 4 carry 5 each - assert np.allclose(fb[3:], [5.0, 5.0, 5.0]) - - -def test_max_flow_downstream_equal_balanced(algs, to_handle): - # Downstream split: 0->1 (10), then 1->{2,3}(5 each), then to 4 (5 each) - src = np.array([0, 1, 1, 2, 3], dtype=np.int32) - dst = np.array([1, 2, 3, 4, 4], dtype=np.int32) - cap = np.array([10.0, 5.0, 5.0, 5.0, 5.0], dtype=np.float64) - cost = np.array([1, 1, 1, 1, 1], dtype=np.int64) - g = _make_graph(5, src, dst, cap, cost) - total, summary = algs.max_flow( - to_handle(g), - 0, - 4, - flow_placement=ngc.FlowPlacement.EQUAL_BALANCED, - shortest_path=False, - with_edge_flows=True, - ) - assert np.isclose(total, 10.0) - fb = np.asarray(summary.edge_flows) - # First hop carries all 10 - assert np.isclose(fb[0], 10.0) - # Downstream equal split 5/5 - assert np.isclose(fb[1], 5.0) - assert np.isclose(fb[2], 5.0) - assert np.isclose(fb[3], 5.0) - assert np.isclose(fb[4], 5.0) - - -def test_max_flow_graph3_proportional_parallel_distribution( - graph3, flows_by_eid, assert_edge_flows_shape, assert_valid_min_cut, algs, to_handle -): - # A=0, B=1, C=2, D=3, E=4, F=5 - g = graph3 - total, summary = algs.max_flow( - to_handle(g), - 0, - 2, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=False, - with_edge_flows=True, - ) - # Incoming to C via min-cost parents: from B (cap 1+2+3=6) and from E (cap 4) => total 10 - assert np.isclose(total, 10.0) - assert_edge_flows_shape(g, summary, expected_present=True) - assert_valid_min_cut(g, summary.min_cut, total) - fb = flows_by_eid(g, summary.edge_flows) - # B->C parallels proportional to capacity: 1:2:3 over total 6 => 1,2,3 - assert np.isclose(fb[4], 1.0) - assert np.isclose(fb[5], 2.0) - assert np.isclose(fb[6], 3.0) - # E->C should carry 4 - assert np.isclose(fb[8], 4.0) - # A->B proportional to carry 6 (total to B): 2:4:6 over sum 12 => 1,2,3 - assert np.isclose(fb[0], 1.0) - assert np.isclose(fb[1], 2.0) - assert np.isclose(fb[2], 3.0) - # A->E carries 4 - assert np.isclose(fb[3], 4.0) - - -def test_max_flow_two_disjoint_shortest_routes_proportional( - two_disjoint_shortest_graph, - flows_by_eid, - assert_edge_flows_shape, - assert_valid_min_cut, - algs, - to_handle, -): - # S=0, A=1, B=2, T=3 - # Two disjoint shortest paths S->A->T and S->B->T with equal total cost - g = two_disjoint_shortest_graph - total, summary = algs.max_flow( - to_handle(g), - 0, - 3, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=False, - with_edge_flows=True, - ) - # Bottlenecks along S->A->T = min(3,2)=2 and S->B->T = min(4,1)=1 => total 3 - assert np.isclose(total, 3.0) - assert_edge_flows_shape(g, summary, expected_present=True) - assert_valid_min_cut(g, summary.min_cut, total) - fb = flows_by_eid(g, summary.edge_flows) - assert np.isclose(fb[0], 2.0) # S->A - assert np.isclose(fb[2], 2.0) # A->T - assert np.isclose(fb[1], 1.0) # S->B - assert np.isclose(fb[3], 1.0) # B->T - # Cost distribution checks live in test_max_flow_cost_distribution.py - - -def test_max_flow_square4_full_and_shortest_proportional( - square4_graph, algs, to_handle -): - g = square4_graph - total_full, _ = algs.max_flow( - to_handle(g), - 0, - 1, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=False, - ) - total_sp, _ = algs.max_flow( - to_handle(g), - 0, - 1, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=True, - ) - assert np.isclose(total_full, 350.0) - assert np.isclose(total_sp, 100.0) diff --git a/tests/py/test_max_flow_cost_distribution.py b/tests/py/test_max_flow_cost_distribution.py deleted file mode 100644 index 8a7f135..0000000 --- a/tests/py/test_max_flow_cost_distribution.py +++ /dev/null @@ -1,166 +0,0 @@ -"""Max-flow cost distribution analytics across scenarios.""" - -import numpy as np - -import netgraph_core as ngc - - -def test_cost_distribution_multiple_paths(build_graph, cost_dist_dict, algs, to_handle): - # S=0, A=1, B=2, T=3 - # Path1: S->A->T cost=2, cap=5; Path2: S->B->T cost=4, cap=3 - edges = [ - (0, 1, 1, 5, 0), - (1, 3, 1, 5, 1), - (0, 2, 2, 3, 2), - (2, 3, 2, 3, 3), - ] - g = build_graph(4, edges) - total, summary = algs.max_flow( - to_handle(g), - 0, - 3, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=False, - with_edge_flows=False, - ) - assert np.isclose(total, 8.0) - d = cost_dist_dict(summary) - assert np.isclose(d[2.0], 5.0) - assert np.isclose(d[4.0], 3.0) - - -def test_cost_distribution_single_path(build_graph, cost_dist_dict, algs, to_handle): - # A=0, B=1, C=2; cost=3+2=5; cap=10 - edges = [ - (0, 1, 3, 10, 0), - (1, 2, 2, 10, 1), - ] - g = build_graph(3, edges) - total, summary = algs.max_flow( - to_handle(g), - 0, - 2, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=False, - with_edge_flows=False, - ) - assert np.isclose(total, 10.0) - d = cost_dist_dict(summary) - assert np.isclose(d[5.0], 10.0) - - -def test_cost_distribution_equal_cost_paths( - build_graph, cost_dist_dict, algs, to_handle -): - # S=0, A=1, B=2, T=3; two paths both cost=2, caps 4 and 6 - edges = [ - (0, 1, 1, 4, 0), - (1, 3, 1, 4, 1), - (0, 2, 1, 6, 2), - (2, 3, 1, 6, 3), - ] - g = build_graph(4, edges) - total, summary = algs.max_flow( - to_handle(g), - 0, - 3, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=False, - with_edge_flows=False, - ) - assert np.isclose(total, 10.0) - d = cost_dist_dict(summary) - assert np.isclose(d[2.0], 10.0) - - -def test_cost_distribution_three_tiers(build_graph, cost_dist_dict, algs, to_handle): - # S=0, A=1, B=2, C=3, T=4 - # Tier1: cost=1 cap=2 (0->1 cost1, 1->4 cost0) - # Tier2: cost=3 cap=4 (0->2 cost2, 2->4 cost1) - # Tier3: cost=6 cap=3 (0->3 cost3, 3->4 cost3) - edges = [ - (0, 1, 1, 2, 0), - (1, 4, 0, 2, 1), - (0, 2, 2, 4, 2), - (2, 4, 1, 4, 3), - (0, 3, 3, 3, 4), - (3, 4, 3, 3, 5), - ] - g = build_graph(5, edges) - total, summary = algs.max_flow( - to_handle(g), - 0, - 4, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=False, - with_edge_flows=False, - ) - assert np.isclose(total, 9.0) - d = cost_dist_dict(summary) - assert np.isclose(d[1.0], 2.0) - assert np.isclose(d[3.0], 4.0) - assert np.isclose(d[6.0], 3.0) - - -def test_cost_distribution_no_flow(build_graph, cost_dist_dict, algs, to_handle): - g = build_graph(2, []) # No edges - total, summary = algs.max_flow( - to_handle(g), - 0, - 1, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=False, - with_edge_flows=False, - ) - assert np.isclose(total, 0.0) - assert np.asarray(summary.costs).size == 0 and np.asarray(summary.flows).size == 0 - - -def test_cost_distribution_shortest_path_mode( - build_graph, cost_dist_dict, algs, to_handle -): - # Two paths: cost=2 cap=5; cost=4 cap=3; shortest_path=True -> only first tier - edges = [ - (0, 1, 1, 5, 0), - (1, 3, 1, 5, 1), - (0, 2, 2, 3, 2), - (2, 3, 2, 3, 3), - ] - g = build_graph(4, edges) - total, summary = algs.max_flow( - to_handle(g), - 0, - 3, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=True, - with_edge_flows=False, - ) - assert np.isclose(total, 5.0) - d = cost_dist_dict(summary) - assert len(d) == 1 - assert np.isclose(d[2.0], 5.0) - - -def test_cost_distribution_capacity_bottleneck( - build_graph, cost_dist_dict, algs, to_handle -): - # Cheap path bottlenecked at 2 (cost 1); expensive path cost 3 cap 5 - edges = [ - (0, 1, 1, 10, 0), - (1, 3, 0, 2, 1), # bottleneck at 2 - (0, 2, 2, 5, 2), - (2, 3, 1, 5, 3), - ] - g = build_graph(4, edges) - total, summary = algs.max_flow( - to_handle(g), - 0, - 3, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=False, - with_edge_flows=False, - ) - assert np.isclose(total, 7.0) - d = cost_dist_dict(summary) - assert np.isclose(d[1.0], 2.0) - assert np.isclose(d[3.0], 5.0) diff --git a/tests/py/test_max_flow_summary.py b/tests/py/test_max_flow_summary.py deleted file mode 100644 index 609b3e3..0000000 --- a/tests/py/test_max_flow_summary.py +++ /dev/null @@ -1,53 +0,0 @@ -"""Max-flow FlowSummary semantics: shapes and MinCut validity.""" - -from __future__ import annotations - -import numpy as np - -import netgraph_core as ngc - - -def _two_path_graph(build_graph): - # S=0, A=1, B=2, T=3 - # Path1 cost=2 cap=5; Path2 cost=4 cap=3 - edges = [ - (0, 1, 1, 5, 0), - (1, 3, 1, 5, 1), - (0, 2, 2, 3, 2), - (2, 3, 2, 3, 3), - ] - return build_graph(4, edges) - - -def test_flow_summary_shapes_and_min_cut_valid( - build_graph, assert_edge_flows_shape, assert_valid_min_cut, algs, to_handle -): - g = _two_path_graph(build_graph) - total, summary = algs.max_flow( - to_handle(g), - 0, - 3, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=False, - with_edge_flows=True, - ) - assert np.isclose(total, 8.0) - assert_edge_flows_shape(g, summary, expected_present=True) - assert_valid_min_cut(g, summary.min_cut, total) - # Cost distribution checked in test_max_flow_cost_distribution.py - - -def test_flow_summary_without_edge_flows( - build_graph, assert_edge_flows_shape, algs, to_handle -): - g = _two_path_graph(build_graph) - total, summary = algs.max_flow( - to_handle(g), - 0, - 3, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - shortest_path=False, - with_edge_flows=False, - ) - assert np.isclose(total, 8.0) - assert_edge_flows_shape(g, summary, expected_present=False) diff --git a/tests/py/test_maxflow_certificate.py b/tests/py/test_maxflow_certificate.py deleted file mode 100644 index da58792..0000000 --- a/tests/py/test_maxflow_certificate.py +++ /dev/null @@ -1,197 +0,0 @@ -"""Oracle-free correctness certificates for max-flow. - -The suite historically checked max-flow results against hand-computed values on a -handful of fixed topologies. That misses defects whose trigger is a graph nobody -thought to write down -- the 0.7.2 under-reporting bug (fixed in 0.8.0) was not -exposed by any fixture in the suite, at any src/dst pair. - -These tests take the opposite approach: generate graphs in the region where such -defects live (dispersed edge costs, full-duplex links) and check a *certificate of -optimality* rather than a recorded number. See the ``certify_max_flow`` fixture for -the four properties; together they prove maximality, so no external oracle and no -stored expected value is required. -""" - -from __future__ import annotations - -import numpy as np -import pytest - -import netgraph_core as ngc - -# A fixed seed keeps these deterministic, so a given defect is either caught on every -# run or never -- which means the corpus has to be shown to have teeth, not assumed to. -# This seed was picked because its corpus trips the 0.7.2 under-reporting bug within the -# first few graphs; both sweeps below were confirmed to fail against 0.7.2 and pass -# against 0.8.0. An arbitrary seed needed ~5750 graphs to hit the same defect, so this -# is purely a cheaper corpus, not a narrower one. -SEED = 198 -QUICK_GRAPHS = 2000 -THOROUGH_GRAPHS = 20000 - - -def _random_graph(rng: np.random.Generator) -> tuple[ngc.StrictMultiDiGraph, int, int]: - """Build a random full-duplex graph with dispersed costs. - - Cost dispersion is the essential ingredient: with a single cost tier there is - nothing for shortest-path tier ordering to get wrong, and randomized checks over - equal-cost graphs find nothing. - """ - n = int(rng.integers(4, 9)) - m = int(rng.integers(n, 2 * n)) - links = [] - for _ in range(m): - u, v = rng.choice(n, 2, replace=False) - cap = float(rng.integers(1, 6)) - cost = int(rng.integers(1, 21)) - links.append((int(u), int(v), cap, cost)) - - edges = [e for u, v, c, k in links for e in ((u, v, c, k), (v, u, c, k))] - src = np.array([e[0] for e in edges], dtype=np.int32) - dst = np.array([e[1] for e in edges], dtype=np.int32) - cap = np.array([e[2] for e in edges], dtype=np.float64) - cost = np.array([e[3] for e in edges], dtype=np.int64) - g = ngc.StrictMultiDiGraph.from_arrays( - n, src, dst, cap, cost, np.arange(len(edges), dtype=np.int64) - ) - return g, 0, n - 1 - - -def _sweep(count: int, algs, certify_max_flow) -> None: - rng = np.random.default_rng(SEED) - for i in range(count): - g, s, t = _random_graph(rng) - total, summary = algs.max_flow(algs.build_graph(g), s, t, with_edge_flows=True) - try: - certify_max_flow(g, summary, total, s, t) - except AssertionError as exc: # pragma: no cover - only on a real defect - pytest.fail(f"certificate failed on random graph #{i} (seed {SEED}): {exc}") - - -def test_random_graphs_certify(algs, certify_max_flow): - """Every generated max-flow result must carry a valid optimality certificate.""" - _sweep(QUICK_GRAPHS, algs, certify_max_flow) - - -@pytest.mark.slow -def test_random_graphs_certify_thorough(algs, certify_max_flow): - """Wider sweep of the same generator.""" - _sweep(THOROUGH_GRAPHS, algs, certify_max_flow) - - -FIXTURES = [ - "line1_graph", - "square1_graph", - "square2_graph", - "graph3", - "square4_graph", - "triangle1_graph", -] - - -@pytest.mark.parametrize("fixture_name", FIXTURES) -def test_named_fixtures_certify_all_pairs( - fixture_name, request, algs, certify_max_flow -): - """Certify the shared fixtures for every src/dst pair, not just the tested one. - - A fixture is usually queried for a single pair; the remaining pairs are free - coverage of the same topology. - """ - g = request.getfixturevalue(fixture_name) - handle = algs.build_graph(g) - n = g.num_nodes() - for s in range(n): - for t in range(n): - if s == t: - continue - total, summary = algs.max_flow(handle, s, t, with_edge_flows=True) - certify_max_flow(g, summary, total, s, t) - - -def test_certificate_rejects_a_non_maximal_flow(square1_graph, algs, certify_max_flow): - """The certificate must have teeth. - - ``shortest_path=True`` performs a single augmentation and is deliberately not - maximal, so it is a genuine non-maximal result reachable through the public API. - Certifying it as maximal must fail. Without this guard the certificate could - silently degrade into an assertion that cannot fail -- which is exactly how the - previous ``assert_valid_min_cut`` helper missed the 0.7.2 bug. - """ - g = square1_graph - total, summary = algs.max_flow( - algs.build_graph(g), 0, 2, shortest_path=True, with_edge_flows=True - ) - assert total == pytest.approx(1.0) - - # Feasibility and conservation still hold for a partial placement. - certify_max_flow(g, summary, total, 0, 2, maximal=False) - - with pytest.raises(AssertionError): - certify_max_flow(g, summary, total, 0, 2, maximal=True) - - -def test_equal_balanced_is_feasible_but_not_certified_maximal( - line1_graph, algs, certify_max_flow -): - """EQUAL_BALANCED is an admission model, so only feasibility/conservation apply.""" - g = line1_graph - total, summary = algs.max_flow( - algs.build_graph(g), - 0, - 2, - flow_placement=ngc.FlowPlacement.EQUAL_BALANCED, - with_edge_flows=True, - ) - certify_max_flow(g, summary, total, 0, 2, maximal=False) - - -def test_masked_runs_certify(algs, certify_max_flow): - """Masking must not break the certificate, and must not leak flow onto masked edges. - - Masks are a good place for a future defect of this kind to hide: no external - solver models them, so an oracle-based test cannot reach them at all. - - Node and edge masks are checked separately and together, because they are - separate branches in ``calc_max_flow`` -- including inside the residual - completion phase added in 0.8.0, whose forward and reverse arc loops each - consult ``edge_mask`` independently. A node-mask-only sweep leaves those - branches, and the certificate's own ``edge_mask`` handling, unexercised. - """ - rng = np.random.default_rng(SEED + 1) - saw_masked_node = False - saw_masked_edge = False - - for i in range(300): - g, s, t = _random_graph(rng) - n = g.num_nodes() - - node_mask = None - edge_mask = None - mode = i % 3 # 0: nodes only, 1: edges only, 2: both - if mode in (0, 2): - node_mask = np.ones(n, dtype=bool) - victim = int(rng.integers(0, n)) - if victim not in (s, t): - node_mask[victim] = False - saw_masked_node = True - if mode in (1, 2): - edge_mask = rng.random(g.num_edges()) > 0.25 - if not edge_mask.all(): - saw_masked_edge = True - - total, summary = algs.max_flow( - algs.build_graph(g), - s, - t, - node_mask=node_mask, - edge_mask=edge_mask, - with_edge_flows=True, - ) - certify_max_flow( - g, summary, total, s, t, node_mask=node_mask, edge_mask=edge_mask - ) - - # Guard against the sweep silently degrading into an unmasked one. - assert saw_masked_node, "node-mask branch was never exercised" - assert saw_masked_edge, "edge-mask branch was never exercised" diff --git a/tests/py/test_paths_resolve.py b/tests/py/test_paths_resolve.py deleted file mode 100644 index 0183602..0000000 --- a/tests/py/test_paths_resolve.py +++ /dev/null @@ -1,67 +0,0 @@ -from __future__ import annotations - -import netgraph_core as ngc - - -def test_resolve_no_split_parallel_edges( - build_graph, assert_paths_concrete, algs, to_handle -): - # Graph: 0->1 has two equal-cost edges; 1->2 single edge - edges = [ - (0, 1, 1.0, 1.0), - (0, 1, 1.0, 1.0), - (1, 2, 1.0, 1.0), - ] - g = build_graph(3, edges) - sel = ngc.EdgeSelection( - multi_edge=True, - require_capacity=False, - tie_break=ngc.EdgeTieBreak.DETERMINISTIC, - ) - dist, dag = algs.spf(to_handle(g), 0, 2, selection=sel) - paths = dag.resolve_to_paths(0, 2, split_parallel_edges=False) - # Expect one path grouping both parallel edges at hop 0->1 - assert len(paths) == 1 - assert_paths_concrete(paths, 0, 2, expect_split=False) - - -def test_resolve_with_split_parallel_edges_cartesian( - build_graph, assert_paths_concrete, algs, to_handle -): - # Graph: 0->1 two edges, 1->2 two edges (all equal cost) - edges = [ - (0, 1, 1.0, 1.0), - (0, 1, 1.0, 1.0), - (1, 2, 1.0, 1.0), - (1, 2, 1.0, 1.0), - ] - g = build_graph(3, edges) - sel = ngc.EdgeSelection( - multi_edge=True, - require_capacity=False, - tie_break=ngc.EdgeTieBreak.DETERMINISTIC, - ) - dist, dag = algs.spf(to_handle(g), 0, 2, selection=sel) - paths = dag.resolve_to_paths(0, 2, split_parallel_edges=True) - # Expect 2*2 = 4 concrete paths - assert len(paths) == 4 - assert_paths_concrete(paths, 0, 2, expect_split=True) - - -def test_resolve_max_paths_cap(build_graph, assert_paths_concrete, algs, to_handle): - edges = [ - (0, 1, 1.0, 1.0), - (0, 1, 1.0, 1.0), - (1, 2, 1.0, 1.0), - (1, 2, 1.0, 1.0), - ] - g = build_graph(3, edges) - sel = ngc.EdgeSelection( - multi_edge=True, - require_capacity=False, - tie_break=ngc.EdgeTieBreak.DETERMINISTIC, - ) - dist, dag = algs.spf(to_handle(g), 0, 2, selection=sel) - paths = dag.resolve_to_paths(0, 2, split_parallel_edges=True, max_paths=3) - assert len(paths) == 3 - assert_paths_concrete(paths, 0, 2, expect_split=True) diff --git a/tests/py/test_place_global_units.py b/tests/py/test_place_global_units.py new file mode 100644 index 0000000..95b8cb7 --- /dev/null +++ b/tests/py/test_place_global_units.py @@ -0,0 +1,287 @@ +"""The private flow-core entry `_netgraph_core._place_global_units` (APPROACH 2.2): the payload +schema, the review witnesses, input validation and randomized certificates.""" + +from __future__ import annotations + +import random + +import _netgraph_core as core +import numpy as np +import pytest +from flow_oracle import NEVER_REACHED, certify + +import netgraph_core as ngc + +COUNTERS = { + "dijkstra_runs", + "dijkstra_pops", + "settled", + "arc_scans", + "dinic_phases", + "augmentations", +} +CHAIN = [(0, 1, 1, 1), (1, 2, 1, 1), (2, 3, 1, 1), (0, 2, 1, 3), (1, 3, 1, 3)] + + +def build(n, edges, q=1.0): + return ngc.StrictMultiDiGraph( + n, + [e[0] for e in edges], + [e[1] for e in edges], + [e[2] for e in edges], + [e[3] for e in edges], + q, + ) + + +def by_input(g, values): + out = [0] * len(values) + for e, x in enumerate(values): + out[int(g.input_index()[e])] = x + return out + + +def to_ids(g, values_in): + return [values_in[int(i)] for i in g.input_index()] + + +def solve(g, sources, dests, cap, view=None, elig=None): + view = g.capacity_units().tolist() if view is None else view + return core._place_global_units(g, view, sources, dests, elig, cap) + + +def test_payload_schema(): + g = build(4, CHAIN) + p = solve(g, [0], [3], None) + assert set(p) == { + "placed", + "cost_distribution", + "edge_flows", + "min_cut", + "potentials", + "counters", + } + assert type(p["placed"]) is int + assert all(type(c) is int and type(u) is int for c, u in p["cost_distribution"]) + assert isinstance(p["edge_flows"], list) and all( + type(x) is int for x in p["edge_flows"] + ) + assert isinstance(p["min_cut"], list) and all(type(x) is int for x in p["min_cut"]) + assert all(type(x) is int for x in p["potentials"]) + assert set(p["counters"]) == COUNTERS and all( + type(x) is int for x in p["counters"].values() + ) + assert p == solve( + g, [0], [3], None + ) # identical calls, identical payloads (counters included) + + +def test_chain_plus_bypasses(): + g = build(4, CHAIN) + one = solve(g, [0], [3], 1) + assert one["placed"] == 1 and one["cost_distribution"] == [[3, 1]] + assert by_input(g, one["edge_flows"]) == [1, 1, 1, 0, 0] + assert one["min_cut"] is None + two = solve(g, [0], [3], 2) + assert two["cost_distribution"] == [[3, 1], [5, 1]] + assert by_input(g, two["edge_flows"]) == [1, 0, 1, 1, 1] + assert sorted(int(g.input_index()[e]) for e in two["min_cut"]) == [0, 3] + assert two["potentials"] == [0, 2, 3, 5] + inf = solve(g, [0], [3], None) + assert ( + inf["edge_flows"] == two["edge_flows"] and inf["counters"]["dijkstra_runs"] == 3 + ) + for cap, p in ((1, one), (2, two), (None, inf)): + assert certify(g, g.capacity_units().tolist(), [0], [3], cap, p) == [] + masked = solve( + g, + [0], + [3], + None, + elig=g.eligibility(excluded_edges=[to_ids(g, list(range(5))).index(1)]), + ) + assert masked["cost_distribution"] == [[4, 2]] + + +def test_zero_cap_and_positive_cap_on_zero_view(): + g = build(3, [(0, 1, 5, 1), (1, 2, 5, 1)]) + z = solve(g, [0], [2], 0) + assert z == { + "placed": 0, + "cost_distribution": [], + "edge_flows": [0, 0], + "min_cut": None, + "potentials": [NEVER_REACHED] * 3, + "counters": dict.fromkeys(COUNTERS, 0), + } + p = solve(g, [0], [2], 4, view=to_ids(g, [0, 5])) + assert p["placed"] == 0 and p["min_cut"] == [] and p["potentials"] == [0, -1, -1] + assert p["counters"]["dijkstra_runs"] == 1 + + +def test_legal_maximum_and_anycast(): + big = (1 << 62) - 1 + g = build(2, [(0, 1, big, 1)]) + p = solve(g, [0], [1], None) + assert ( + p["placed"] == big + and p["cost_distribution"] == [[1, big]] + and p["min_cut"] == [0] + ) + a = build(3, [(0, 1, 1, 1), (0, 2, 1, 2)]) + q = solve(a, [0], [1, 2], None) + assert q["placed"] == 2 and q["cost_distribution"] == [[1, 1], [2, 1]] + assert q["potentials"] == [0, 2, 2] + assert solve(a, np.array([0, 0]), np.array([2, 1, 2]), np.int64(5)) == solve( + a, [0], [1, 2], 5 + ) + + +def test_release_witness_fresh_solve(): + g = build(3, [(0, 1, 1, 1), (0, 1, 2, 3), (1, 2, 2, 1)]) + p = solve(g, [0], [2], 1, view=to_ids(g, [1, 1, 1])) + assert by_input(g, p["edge_flows"]) == [1, 0, 1] + assert p["cost_distribution"] == [[2, 1]] + + +@pytest.mark.parametrize( + "kwargs, pattern", + [ + ({"view": [1]}, "view has length 1, expected 2"), + ({"view": [1, 6]}, "capacity_units"), + ({"view": [1.0, 1.0]}, "view"), + ({"view": [-1, 0]}, "outside"), + ({"sources": []}, "sources: the endpoint set is empty"), + ({"destinations": []}, "destinations: the endpoint set is empty"), + ({"sources": [3]}, "out of node range"), + ({"sources": [0, 2]}, "both endpoint sets"), + ({"sources": [0.0]}, "sources"), + ({"cap": -1}, "cap"), + ({"cap": 1 << 63}, "cap"), + ({"cap": (1 << 63) - 1}, "cap"), + ({"cap": 1.0}, "cap"), + ({"cap": True}, "cap"), + ], +) +def test_invalid_inputs(kwargs, pattern): + g = build(3, [(0, 1, 5, 1), (1, 2, 5, 1)]) + call = { + "graph": g, + "view": [5, 5], + "sources": [0], + "destinations": [2], + "elig": None, + "cap": 3, + } + call.update(kwargs) + with pytest.raises(ValueError, match=pattern): + core._place_global_units(**call) + + +def test_foreign_eligibility_and_largest_cap(): + g = build(3, [(0, 1, 5, 1), (1, 2, 5, 1)]) + h = build(3, [(0, 1, 5, 1), (1, 2, 5, 1)]) + with pytest.raises(ValueError, match="foreign Eligibility"): + solve(g, [0], [2], 1, elig=h.eligibility()) + assert solve(g, [0], [2], (1 << 63) - 2)["placed"] == 5 + + +def test_random_graphs_certified(): + rng = random.Random(2026) + positive = 0 + for _ in range(400): + n = rng.randint(2, 5) + edges = [ + (rng.randrange(n), rng.randrange(n), rng.randint(0, 2), rng.randint(1, 5)) + for _ in range(rng.randint(1, 6)) + ] + g = build(n, edges) + nodes = list(range(n)) + rng.shuffle(nodes) + ns = rng.randint(1, min(2, n - 1)) + sources, dests = nodes[:ns], nodes[ns : ns + rng.randint(1, min(2, n - ns))] + view = [ + c if rng.random() < 0.7 else rng.randint(0, c) + for c in g.capacity_units().tolist() + ] + cap = rng.choice([None, 0, 1, rng.randint(0, 6), (1 << 63) - 2]) + elig = None + if rng.random() < 0.4: + elig = g.eligibility( + excluded_nodes=[rng.randrange(n)] if rng.random() < 0.3 else [], + excluded_edges=[rng.randrange(len(edges))] + if rng.random() < 0.6 + else [], + ) + p = solve(g, sources, dests, cap, view=view, elig=elig) + fails = certify( + g, + view, + sources, + dests, + cap, + p, + None if elig is None else elig.node_allowed(), + None if elig is None else elig.edge_allowed(), + ) + assert fails == [], (edges, sources, dests, view, cap, fails) + positive += p["placed"] > 0 + assert positive > 50 + + +def test_entry_validates_in_the_core_order_before_narrowing(): + # review-1a D1 for the private entry: view length, view entries, sources, destinations, + # overlap, cap, each checked on the unnarrowed value. + g = build(3, [(0, 1, 5, 1), (1, 2, 5, 1)]) + + def call(**kw): + args = { + "view": [5, 5], + "sources": [0], + "destinations": [2], + "elig": None, + "cap": 3, + } + args.update(kw) + return core._place_global_units(g, **args) + + with pytest.raises(ValueError, match="view has length 1, expected 2"): + call(view=[2**70], sources=[2**40]) + with pytest.raises( + ValueError, match=r"view\[0\] = 1180591620717411303424 is outside" + ): + call(view=[2**70, 5], sources=[2**40]) + with pytest.raises( + ValueError, match=r"sources: node 1099511627776 out of node range" + ): + call(sources=[2**40], destinations=[-(2**70)]) + with pytest.raises(ValueError, match=r"destinations: node -1180591620717411303424"): + call(destinations=[-(2**70)], cap=-1) + with pytest.raises(ValueError, match="both endpoint sets"): + call(sources=[0, 2], cap=2**70) + with pytest.raises(ValueError, match="cap 1180591620717411303424 is outside"): + call(cap=2**70) + with pytest.raises(ValueError, match="cap -1180591620717411303424 is outside"): + call(cap=-(2**70)) + with pytest.raises( + ValueError, match=r"view\[1\] = 18446744073709551615 is outside" + ): + call(view=np.array([5, 2**64 - 1], dtype=np.uint64)) + + +def test_entry_view_rank_is_checked_with_its_length(): + g = build(3, [(0, 1, 5, 1), (1, 2, 5, 1)]) + with pytest.raises( + ValueError, match=r"view must be a 1-D array \(got 2 dimensions\)" + ): + core._place_global_units(g, np.array([[5, 5]]), [2**40], [2], None, 3) + with pytest.raises( + ValueError, match=r"view must be a 1-D array \(got 0 dimensions\)" + ): + core._place_global_units(g, np.array(5), [0], [2], None, 3) + with pytest.raises( + ValueError, match=r"view must be a 1-D sequence of integers \(entry 1" + ): + core._place_global_units(g, [5, [5]], [0], [2], None, 3) + with pytest.raises(ValueError, match="sources node ids must be a 1-D array"): + core._place_global_units(g, [5, 5], np.array([[0]]), [2], None, -1) diff --git a/tests/py/test_policy_vs_maxflow_equivalence.py b/tests/py/test_policy_vs_maxflow_equivalence.py deleted file mode 100644 index cf5815a..0000000 --- a/tests/py/test_policy_vs_maxflow_equivalence.py +++ /dev/null @@ -1,213 +0,0 @@ -"""Policy vs MaxFlow equivalence across the full behavior matrix. - -Validates 3-way API equivalence across all modes: - - Algorithms.max_flow - - FlowState.place_max_flow - - FlowPolicy.place_demand - -Behavior Matrix (all combinations tested): - 1. SDN Max-Flow: require_capacity=True, shortest_path=False, PROPORTIONAL - 2. Single-Tier TE: require_capacity=True, shortest_path=True, PROPORTIONAL - 3. IP ECMP: require_capacity=False, shortest_path=True, EQUAL_BALANCED - 4. IP WCMP: require_capacity=False, shortest_path=True, PROPORTIONAL - -Plus progressive TE modes with require_capacity=True, shortest_path=False, EQUAL_BALANCED. - -Also validates multi-step placement equivalence and remove/re-place idempotence. -""" - -from __future__ import annotations - -import math - -# no typing imports needed -import pytest - -import netgraph_core as ngc - - -def _sel_for( - placement: ngc.FlowPlacement, shortest_path: bool, require_capacity: bool -) -> ngc.EdgeSelection: - # Match MaxFlow's internal SPF selection - return ngc.EdgeSelection( - multi_edge=True, - require_capacity=require_capacity, - tie_break=ngc.EdgeTieBreak.DETERMINISTIC, - ) - - -def _policy_for( - algs: ngc.Algorithms, - gh, - placement: ngc.FlowPlacement, - shortest_path: bool, - require_capacity: bool, -) -> ngc.FlowPolicy: - sel = _sel_for(placement, shortest_path, require_capacity) - # Configure EB to match IP-like semantics under shortest_path=True - max_flow_c = ( - 1 if (placement == ngc.FlowPlacement.EQUAL_BALANCED and shortest_path) else None - ) - cfg = ngc.FlowPolicyConfig( - path_alg=ngc.PathAlg.SPF, - flow_placement=placement, - selection=sel, - require_capacity=require_capacity, - shortest_path=shortest_path, - max_flow_count=max_flow_c, - ) - return ngc.FlowPolicy(algs, gh, cfg) - - -@pytest.mark.parametrize( - "graph_label", - [ - "square1_graph", - "line1_graph", - "graph3", - "two_disjoint_shortest_graph", - "square3_graph", - ], -) -@pytest.mark.parametrize( - "placement,sp_flag,req_cap", - [ - # Mode 1: SDN Max-Flow (uses all paths, capacity-aware) - (ngc.FlowPlacement.PROPORTIONAL, False, True), - # Mode 2: Single-Tier TE (shortest-cost tier only, capacity-aware) - (ngc.FlowPlacement.PROPORTIONAL, True, True), - # Mode 3: IP ECMP (shortest-cost tier, cost-only routing, equal splits) - (ngc.FlowPlacement.EQUAL_BALANCED, True, False), - # Mode 4: IP WCMP (shortest-cost tier, cost-only routing, proportional splits) - (ngc.FlowPlacement.PROPORTIONAL, True, False), - # Progressive TE mode (multi-tier EB, capacity-aware) - (ngc.FlowPlacement.EQUAL_BALANCED, False, True), - ], - ids=["sdn_maxflow", "tier_te", "ip_ecmp", "ip_wcmp", "progressive_te"], -) -def test_policy_matches_maxflow_equivalence( - request, - graph_label: str, - placement: ngc.FlowPlacement, - sp_flag: bool, - req_cap: bool, - algs: ngc.Algorithms, - to_handle, -): - """3-way API equivalence: max_flow, FlowState.place_max_flow, FlowPolicy.place_demand. - - Also validate: - - placing with demand > expected: placed==expected, remaining==demand-expected - - splitting placement into two steps: same totals - - placing, removing, placing again: same totals - """ - # Acquire graph fixture by name - g = request.getfixturevalue(graph_label) - # src/dst mapping per canonical graph fixtures (mirrors test_flow_policy.py) - SRC_DST = { - "square1_graph": (0, 2), - "line1_graph": (0, 2), - "graph3": (0, 2), - "two_disjoint_shortest_graph": (0, 3), - "square3_graph": (0, 2), - } - src, dst = SRC_DST[graph_label] - - # 1. Compute expected using max_flow under the same mode flags - total_mf, _summary = algs.max_flow( - to_handle(g), - src, - dst, - flow_placement=placement, - shortest_path=sp_flag, - require_capacity=req_cap, - with_edge_flows=False, - ) - expected = float(total_mf) - - # 2. Verify FlowState.place_max_flow matches - fs = ngc.FlowState(g) - total_fs = fs.place_max_flow(src, dst, placement, sp_flag, req_cap) - assert math.isclose(total_fs, expected, rel_tol=0, abs_tol=1e-6), ( - f"FlowState mismatch for {graph_label}: {total_fs} != {expected}" - ) - - # Demand greater than expected - demand = expected + 7.0 - - # 3. Single-shot FlowPolicy placement - fg1 = ngc.FlowGraph(g) - policy1 = _policy_for(algs, to_handle(g), placement, sp_flag, req_cap) - placed1, rem1 = policy1.place_demand(fg1, src, dst, flowClass=0, volume=demand) - if sp_flag: - # Strict equivalence in shortest_path mode - assert math.isclose(placed1, expected, rel_tol=0, abs_tol=1e-6), ( - f"single-shot placed mismatch for {graph_label}" - ) - assert math.isclose(rem1, demand - expected, rel_tol=0, abs_tol=1e-6), ( - f"single-shot remaining mismatch for {graph_label}" - ) - else: - # TE mode: policy should not exceed max_flow; accounting must hold - assert placed1 <= expected + 1e-6, ( - f"single-shot placed exceeds expected for {graph_label}" - ) - assert math.isclose(placed1 + rem1, demand, rel_tol=0, abs_tol=1e-6), ( - f"single-shot accounting mismatch for {graph_label}" - ) - - # Two-step placement (split request into two calls) - fg2 = ngc.FlowGraph(g) - policy2 = _policy_for(algs, to_handle(g), placement, sp_flag, req_cap) - v1 = demand * 0.4 - p2a, r2a = policy2.place_demand(fg2, src, dst, flowClass=0, volume=v1) - p2b, r2b = policy2.place_demand(fg2, src, dst, flowClass=0, volume=demand - v1) - # Total placed must still not exceed expected - placed2 = p2a + p2b - if sp_flag: - # In shortest_path mode, ensure accounting only; placement additivity across calls may differ. - assert math.isclose( - (p2a + r2a) + (p2b + r2b), demand, rel_tol=0, abs_tol=1e-6 - ), f"two-step accounting mismatch for {graph_label}" - else: - assert placed2 <= expected + 1e-6, ( - f"two-step placed exceeds expected for {graph_label}" - ) - # Accounting across both calls must match total demand - assert math.isclose((p2a + r2a) + (p2b + r2b), demand, rel_tol=0, abs_tol=1e-6), ( - f"two-step accounting mismatch for {graph_label}" - ) - - # Place, remove, place again -> same totals as single-shot - fg3 = ngc.FlowGraph(g) - policy3 = _policy_for(algs, to_handle(g), placement, sp_flag, req_cap) - p3a, r3a = policy3.place_demand(fg3, src, dst, flowClass=0, volume=demand) - policy3.remove_demand(fg3) - p3b, r3b = policy3.place_demand(fg3, src, dst, flowClass=0, volume=demand) - if sp_flag: - assert math.isclose(p3a, expected, rel_tol=0, abs_tol=1e-6), ( - f"pre-remove placed mismatch for {graph_label}" - ) - assert math.isclose(r3a, demand - expected, rel_tol=0, abs_tol=1e-6), ( - f"pre-remove remaining mismatch for {graph_label}" - ) - assert math.isclose(p3b, expected, rel_tol=0, abs_tol=1e-6), ( - f"post-remove placed mismatch for {graph_label}" - ) - assert math.isclose(r3b, demand - expected, rel_tol=0, abs_tol=1e-6), ( - f"post-remove remaining mismatch for {graph_label}" - ) - else: - assert p3a <= expected + 1e-6, ( - f"pre-remove placed exceeds expected for {graph_label}" - ) - assert math.isclose(p3a + r3a, demand, rel_tol=0, abs_tol=1e-6), ( - f"pre-remove accounting mismatch for {graph_label}" - ) - assert p3b <= expected + 1e-6, ( - f"post-remove placed exceeds expected for {graph_label}" - ) - assert math.isclose(p3b + r3b, demand, rel_tol=0, abs_tol=1e-6), ( - f"post-remove accounting mismatch for {graph_label}" - ) diff --git a/tests/py/test_pred_dag_from_hops.py b/tests/py/test_pred_dag_from_hops.py deleted file mode 100644 index 5069168..0000000 --- a/tests/py/test_pred_dag_from_hops.py +++ /dev/null @@ -1,74 +0,0 @@ -"""PredDAG.from_hops: explicit routes whose hops may use several parallel edges.""" - -from __future__ import annotations - -import numpy as np -import pytest - -import netgraph_core as ngc - - -def _graph(): - # Four parallel 10-unit links 0 -> 1 (ids 0-3), 1 -> 0 back (id 4) and - # 1 -> 2 (id 5): edge ids follow the graph's (cost, src, dst) ordering. - return ngc.StrictMultiDiGraph.from_arrays( - 3, - src=np.array([0, 0, 0, 0, 1, 1], dtype=np.int32), - dst=np.array([1, 1, 1, 1, 2, 0], dtype=np.int32), - capacity=np.array([10.0, 10.0, 10.0, 10.0, 100.0, 1.0], dtype=np.float64), - cost=np.array([1, 1, 1, 1, 1, 1], dtype=np.int64), - ext_edge_ids=np.arange(6, dtype=np.int64), - ) - - -def test_from_hops_layout_and_order(): - g = _graph() - dag = ngc.PredDAG.from_hops(g, [[3, 1], [5]]) - assert list(dag.parent_offsets) == [0, 0, 2, 3] - assert list(dag.parents) == [0, 0, 1] - assert list(dag.via_edges) == [3, 1, 5] - single = ngc.PredDAG.from_edges(g, [2, 5]) - assert list(single.via_edges) == [2, 5] - - -def test_from_hops_bundle_carries_every_parallel_edge(): - g = _graph() - fg = ngc.FlowGraph(g) - one = ngc.PredDAG.from_edges(g, [0, 5]) - bundle = ngc.PredDAG.from_hops(g, [[0, 1, 2, 3], [5]]) - idx_a = ngc.FlowIndex(0, 2, 0, 1) - idx_b = ngc.FlowIndex(0, 2, 0, 2) - assert fg.place( - idx_a, 0, 2, one, 100.0, ngc.FlowPlacement.PROPORTIONAL - ) == pytest.approx(10.0) - fg.remove(idx_a) - assert fg.place( - idx_b, 0, 2, bundle, 100.0, ngc.FlowPlacement.PROPORTIONAL - ) == pytest.approx(40.0) - - -@pytest.mark.parametrize( - "hops, message", - [ - ([], "non-empty"), - ([[0], []], "empty"), - ([[0, 9]], "out of range"), - ([[0, 0]], "repeated"), - ([[4, 5]], "not parallel"), # 1 -> 0 and 1 -> 2 - ([[0], [5], [4]], "contiguous"), # 0 -> 1 -> 2, then 1 -> 0 - ([[0], [5]], None), # valid: 0 -> 1 -> 2 - ], -) -def test_from_hops_validation(hops, message): - g = _graph() - if message is None: - ngc.PredDAG.from_hops(g, hops) - return - with pytest.raises(ValueError, match=message): - ngc.PredDAG.from_hops(g, hops) - - -def test_from_hops_rejects_revisited_node(): - g = _graph() - with pytest.raises(ValueError, match="simple path"): - ngc.PredDAG.from_hops(g, [[0], [4]]) # 0 -> 1 -> 0 diff --git a/tests/py/test_profiling.py b/tests/py/test_profiling.py deleted file mode 100644 index 96acd35..0000000 --- a/tests/py/test_profiling.py +++ /dev/null @@ -1,100 +0,0 @@ -from __future__ import annotations - -import os -import re -import subprocess -import sys -import textwrap - - -def _run_profile_subprocess( - code: str, *, extra_env: dict[str, str] | None = None -) -> subprocess.CompletedProcess[str]: - env = os.environ.copy() - env["NGRAPH_CORE_PROFILE"] = "1" - if extra_env: - env.update(extra_env) - return subprocess.run( - [sys.executable, "-c", code], - check=True, - capture_output=True, - text=True, - env=env, - ) - - -def _calls_for(stderr: str, scope: str) -> int: - match = re.search(rf"^{re.escape(scope)}:\n calls: (\d+)\n", stderr, re.MULTILINE) - assert match, stderr - return int(match.group(1)) - - -def test_profiling_dump_and_reset_lifecycle_via_python_api() -> None: - code = textwrap.dedent( - """ - import sys - import numpy as np - import netgraph_core as ngc - - src = np.array([0, 1], dtype=np.int32) - dst = np.array([1, 2], dtype=np.int32) - cap = np.array([1.0, 1.0], dtype=np.float64) - cost = np.array([1, 1], dtype=np.int64) - ext = np.array([0, 1], dtype=np.int64) - graph = ngc.StrictMultiDiGraph.from_arrays(3, src, dst, cap, cost, ext) - algs = ngc.Algorithms(ngc.Backend.cpu()) - gh = algs.build_graph(graph) - - sys.stderr.write("===FIRST===\\n") - for _ in range(3): - algs.spf(gh, 0, 2) - ngc.profiling_dump() - ngc.profiling_reset() - sys.stderr.write("===SECOND===\\n") - ngc.profiling_dump() - print(ngc.profiling_enabled()) - """ - ) - proc = _run_profile_subprocess(code) - assert proc.stdout.strip() == "True" - first = proc.stderr.split("===FIRST===\n", 1)[1].split("===SECOND===\n", 1)[0] - second = proc.stderr.split("===SECOND===\n", 1)[1] - assert _calls_for(first, "shortest_paths_core") == 3 - assert "shortest_paths_core:" not in second - - -def test_profiling_threaded_scope_counts_match_serial() -> None: - code = textwrap.dedent( - """ - import concurrent.futures - import os - import numpy as np - import netgraph_core as ngc - - mode = os.environ["P8_MODE"] - src = np.array([0, 1], dtype=np.int32) - dst = np.array([1, 2], dtype=np.int32) - cap = np.array([1.0, 1.0], dtype=np.float64) - cost = np.array([1, 1], dtype=np.int64) - ext = np.array([0, 1], dtype=np.int64) - graph = ngc.StrictMultiDiGraph.from_arrays(3, src, dst, cap, cost, ext) - algs = ngc.Algorithms(ngc.Backend.cpu()) - gh = algs.build_graph(graph) - - def worker(iters: int) -> None: - for _ in range(iters): - algs.spf(gh, 0, 2) - - ngc.profiling_reset() - if mode == "serial": - worker(20) - else: - with concurrent.futures.ThreadPoolExecutor(max_workers=4) as pool: - list(pool.map(worker, [5, 5, 5, 5])) - ngc.profiling_dump() - """ - ) - serial = _run_profile_subprocess(code, extra_env={"P8_MODE": "serial"}) - threaded = _run_profile_subprocess(code, extra_env={"P8_MODE": "threaded"}) - assert _calls_for(serial.stderr, "shortest_paths_core") == 20 - assert _calls_for(threaded.stderr, "shortest_paths_core") == 20 diff --git a/tests/py/test_review_regressions.py b/tests/py/test_review_regressions.py deleted file mode 100644 index 611439c..0000000 --- a/tests/py/test_review_regressions.py +++ /dev/null @@ -1,590 +0,0 @@ -"""Regression tests for the 2026-08 code review findings. - -Each test locks in the fixed behavior for a confirmed defect: - -1. max_flow under-reported when the SSP tier loop needed flow cancellation; - its own min_cut then contradicted total_flow (duality violation). -2. Zero-cost edges produced a cyclic PredDAG: EqualBalanced placement returned - 0 flow and resolve_to_paths never terminated. -3. k_shortest_paths enumerated every equal-cost spur path (exponential in ECMP - width; a 22-stage ladder needed ~19 s and ~3.8 GB for k=3). -4. batch_max_flow results must be identical to per-pair calls (now computed in - parallel). -5. FlowPolicy.place_demand silently routed a second (src, dst) pair over the - first pair's paths. -6. StrictMultiDiGraph accepted cost totals that overflow int64 path arithmetic. -7. FlowState.compute_min_cut treated pre-existing usage from a custom - residual_init as cancellable flow. -8. batch_max_flow rejected a genuine int32 `pairs` array on Windows, and read - non-contiguous input as if it were packed. -9-10. FlowPolicy accepted a FlowGraph built from a different graph, and - rebalance_demand bypassed the (src, dst) guard. -11-12. batch_max_flow and ksp validated inputs later (or not at all) compared - with their single-pair counterparts. -13. _docs.py declared types that did not match runtime. -14. The same class of user error raised different exception types. -15. k_shortest_paths read paths.back() on an empty vector when - max_cost_factor < 1.0 and k > 1. -""" - -from __future__ import annotations - -import numpy as np -import pytest - -import netgraph_core as ngc - - -def _graph(num_nodes, edges): - """edges: list of (src, dst, capacity, cost).""" - s, d, c, k = zip(*edges, strict=False) - return ngc.StrictMultiDiGraph.from_arrays( - num_nodes, - np.array(s, dtype=np.int32), - np.array(d, dtype=np.int32), - np.array(c, dtype=np.float64), - np.array(k, dtype=np.int64), - np.arange(len(s), dtype=np.int64), - ) - - -def _bidir(links): - out = [] - for u, v, cap, cost in links: - out.append((u, v, cap, cost)) - out.append((v, u, cap, cost)) - return out - - -@pytest.fixture -def algs(): - return ngc.Algorithms(ngc.Backend.cpu()) - - -class TestMaxFlowCompletion: - """Finding 1: forward-only SSP stranded capacity that needs cancellation.""" - - def _cancellation_graph(self): - # s=0, a=1, b=2, t=3; all links full duplex. True max flow is 3.0: - # 0->1->3 (1), 0->2->1->3 (1), 0->2->3 (1); cut {0,2}|{1,3} has cap 3. - return _graph( - 4, - _bidir( - [ - (1, 3, 3.0, 17), - (0, 2, 8.0, 17), - (1, 2, 1.0, 1), - (1, 0, 1.0, 1), - (3, 2, 1.0, 1), - ] - ), - ) - - def test_exact_max_flow(self, algs): - g = self._cancellation_graph() - pg = algs.build_graph(g) - total, _ = algs.max_flow(pg, 0, 3) - assert total == pytest.approx(3.0) - - def test_min_cut_duality(self, algs): - g = self._cancellation_graph() - pg = algs.build_graph(g) - total, summary = algs.max_flow(pg, 0, 3) - cap = np.asarray(g.capacity_view()) - cut = np.asarray(summary.min_cut.edges) - assert cut.size > 0 - assert float(cap[cut].sum()) == pytest.approx(total) - - def test_cost_distribution_accounts_for_total(self, algs): - g = self._cancellation_graph() - pg = algs.build_graph(g) - total, summary = algs.max_flow(pg, 0, 3) - assert float(np.asarray(summary.flows).sum()) == pytest.approx(total) - - def test_completion_respects_masks(self, algs): - g = self._cancellation_graph() - pg = algs.build_graph(g) - mask = np.ones(4, dtype=bool) - mask[2] = False # only 0->1->3 remains; bottleneck is cap(0->1) = 1 - total, _ = algs.max_flow(pg, 0, 3, node_mask=mask) - assert total == pytest.approx(1.0) - - -class TestZeroCostEdges: - """Finding 2: zero-cost edges made the PredDAG cyclic.""" - - def _zero_cost_graph(self): - # 0 ->(1) 1 <->(0) 2 ->(1) 3 - return _graph( - 4, - [(0, 1, 10.0, 1), (1, 2, 10.0, 0), (2, 1, 10.0, 0), (2, 3, 10.0, 1)], - ) - - def test_pred_dag_acyclic(self, algs): - g = self._zero_cost_graph() - pg = algs.build_graph(g) - _, dag = algs.spf(pg, 0, None, multipath=True) - po = np.asarray(dag.parent_offsets) - pa = np.asarray(dag.parents) - for v in range(4): - for i in range(po[v], po[v + 1]): - u = pa[i] - assert v not in pa[po[u] : po[u + 1]], f"cycle {u}<->{v}" - - def test_equal_balanced_places_flow(self, algs): - g = self._zero_cost_graph() - pg = algs.build_graph(g) - total, _ = algs.max_flow( - pg, 0, 3, flow_placement=ngc.FlowPlacement.EQUAL_BALANCED - ) - assert total == pytest.approx(10.0) - - def test_resolve_to_paths_terminates(self, algs): - g = self._zero_cost_graph() - pg = algs.build_graph(g) - _, dag = algs.spf(pg, 0, None, multipath=True) - paths = dag.resolve_to_paths(0, 3) # previously never returned - assert [n for n, _ in paths[0]] == [0, 1, 2, 3] - - -class TestKspEcmpLadder: - """Finding 3: spur enumeration was exponential in equal-cost path count.""" - - def test_ladder_is_tractable(self, algs): - # 30 stages of parallel 2-hop diamonds: 2^30 equal-cost paths. - # Pre-fix this was unreachable (22 stages already took ~19 s / 3.8 GB). - stages = 30 - edges = [] - nid = 0 - - def new(): - nonlocal nid - nid += 1 - return nid - 1 - - main = [new()] - for _ in range(stages): - nxt, a, b = new(), new(), new() - for u, v in ((main[-1], a), (a, nxt), (main[-1], b), (b, nxt)): - edges.append((u, v, 10.0, 1)) - main.append(nxt) - g = _graph(nid, edges) - pg = algs.build_graph(g) - out = algs.ksp(pg, main[0], main[-1], k=4) - assert len(out) == 4 - # All returned paths are shortest (equal cost) and distinct. - costs = [dist[main[-1]] for dist, _ in out] - assert costs == [2 * stages] * 4 - sigs = {tuple(dag.via_edges) for _, dag in out} - assert len(sigs) == 4 - - -class TestBatchMaxFlowParity: - """Finding 4: batch results must equal per-pair results (now parallel).""" - - def test_batch_equals_serial(self, algs, certify_max_flow): - rng = np.random.default_rng(7) - n = 12 - edges = [] - for _ in range(40): - u, v = rng.integers(0, n, size=2) - if u != v: - # Costs must be dispersed. With a single cost tier there is nothing - # for shortest-path tier ordering to get wrong, so a uniform-cost - # generator only ever samples the region where max-flow defects of - # the Finding 1 kind cannot occur. - cap = float(rng.integers(1, 8)) - cost = int(rng.integers(1, 21)) - edges.append((int(u), int(v), cap, cost)) - g = _graph(n, edges) - pg = algs.build_graph(g) - pairs = np.array([[i, (i + 5) % n] for i in range(8)], dtype=np.int32) - batch = algs.batch_max_flow(pg, pairs, with_edge_flows=True) - for i, (a, b) in enumerate(pairs): - total, summary = algs.max_flow(pg, int(a), int(b), with_edge_flows=True) - assert batch[i].total_flow == pytest.approx(total) - np.testing.assert_array_equal( - np.asarray(batch[i].edge_flows), np.asarray(summary.edge_flows) - ) - # Agreement between two code paths that share calc_max_flow only proves - # consistency; both could be wrong together. Certify the result too. - certify_max_flow(g, summary, total, int(a), int(b)) - - -class TestFlowPolicySrcDstGuard: - """Finding 5: reusing a policy for a different pair corrupted placement.""" - - def test_mismatched_pair_raises(self, algs): - g = _graph(4, [(0, 1, 10.0, 1), (2, 3, 10.0, 1)]) - pg = algs.build_graph(g) - fg = ngc.FlowGraph(g) - policy = ngc.FlowPolicy(algs, pg, ngc.FlowPolicyConfig()) - placed, _ = policy.place_demand(fg, 0, 1, 0, 5.0) - assert placed == pytest.approx(5.0) - with pytest.raises(ValueError, match="different \\(src, dst\\)"): - policy.place_demand(fg, 2, 3, 0, 5.0) - - def test_same_pair_and_after_remove_ok(self, algs): - g = _graph(4, [(0, 1, 10.0, 1), (2, 3, 10.0, 1)]) - pg = algs.build_graph(g) - fg = ngc.FlowGraph(g) - policy = ngc.FlowPolicy(algs, pg, ngc.FlowPolicyConfig()) - assert policy.place_demand(fg, 0, 1, 0, 5.0)[0] == pytest.approx(5.0) - assert policy.place_demand(fg, 0, 1, 0, 2.0)[0] == pytest.approx(2.0) - policy.remove_demand(fg) - assert policy.place_demand(fg, 2, 3, 0, 5.0)[0] == pytest.approx(5.0) - np.testing.assert_allclose(np.asarray(fg.edge_flow_view()), [0.0, 5.0]) - - -class TestCostOverflowGuard: - """Finding 6: cost totals near INT64_MAX silently wrapped in SPF.""" - - def test_total_at_2_pow_62_rejected(self): - big = 1 << 62 - with pytest.raises(ValueError, match="2\\^62"): - _graph(3, [(0, 1, 10.0, big), (1, 2, 10.0, big)]) - - def test_large_but_safe_costs_accepted(self, algs): - big = 1 << 60 - g = _graph(3, [(0, 1, 10.0, big), (1, 2, 10.0, big)]) - pg = algs.build_graph(g) - dist, _ = algs.spf(pg, 0, None, dtype="int64") - assert dist[2] == 2 * big # no wraparound - - -class TestFlowStateCustomResidual: - """Finding 7: custom residual_init desynced min-cut's notion of flow.""" - - def test_min_cut_uses_own_placed_flow(self): - g = _graph(3, [(0, 1, 10.0, 1), (1, 2, 10.0, 1)]) - fs = ngc.FlowState(g, np.array([4.0, 4.0])) - placed = fs.place_max_flow(0, 2, ngc.FlowPlacement.PROPORTIONAL) - assert placed == pytest.approx(4.0) - # Reverse arcs must be keyed on this state's own edge_flow (4.0), not - # capacity - residual (10.0, which counts pre-existing usage). - np.testing.assert_allclose(np.asarray(fs.edge_flow_view()), [4.0, 4.0]) - cut = np.asarray(fs.compute_min_cut(0).edges) - assert cut.size > 0 - - -class TestBatchPairsDtype: - """Finding 8: `batch_max_flow` rejected a genuine int32 array on Windows. - - The dtype check compared buffer format strings. NumPy spells int32 as - NPY_LONG ('l') on LLP64 (Windows) but NPY_INT ('i') on LP64, while - pybind11's `format_descriptor` is always 'i', so the check threw on - Windows for a correctly-typed array. Parametrizing over both 32-bit - spellings exercises whichever one is the platform's alias for int32. - """ - - def _line_graph(self): - return _graph(3, [(0, 1, 5.0, 1), (1, 2, 5.0, 1)]) - - @pytest.mark.parametrize("dtype", [np.int32, np.intc]) - def test_accepts_every_int32_spelling(self, algs, dtype): - g = self._line_graph() - pg = algs.build_graph(g) - pairs = np.array([[0, 2]], dtype=dtype) - assert np.dtype(dtype).itemsize == 4 and np.dtype(dtype).kind == "i" - out = algs.batch_max_flow(pg, pairs) - assert out[0].total_flow == pytest.approx(5.0) - - def test_rejects_wrong_dtype(self, algs): - pg = algs.build_graph(self._line_graph()) - with pytest.raises(TypeError, match="int32"): - algs.batch_max_flow(pg, np.array([[0, 2]], dtype=np.int64)) - - def test_rejects_non_contiguous(self, algs): - # A strided view would otherwise be read as if it were packed, silently - # turning [[0, 2]] into the pair (0, 99). - pg = algs.build_graph(self._line_graph()) - strided = np.array([[0, 99, 2, 99]], dtype=np.int32)[:, ::2] - assert not strided.flags["C_CONTIGUOUS"] - with pytest.raises(TypeError, match="C-contiguous"): - algs.batch_max_flow(pg, strided) - - -class TestFlowPolicyTargetGuards: - """Findings 9-10: FlowPolicy accepted uses that silently produced wrong answers.""" - - def _two_graphs_same_edge_count(self): - # Same edge count, different topology: the residual-length check that caught - # the mismatched-graph case by accident does not fire here. - a = _graph(4, [(0, 1, 5.0, 1), (1, 3, 5.0, 1), (0, 2, 1.0, 1)]) - b = _graph(4, [(0, 2, 9.0, 1), (2, 3, 9.0, 1), (0, 1, 1.0, 1)]) - return a, b - - def test_flowgraph_from_a_different_graph_is_rejected(self, algs): - ga, gb = self._two_graphs_same_edge_count() - policy = ngc.FlowPolicy(algs, algs.build_graph(ga), ngc.FlowPolicyConfig()) - with pytest.raises(ValueError, match="different StrictMultiDiGraph"): - policy.place_demand(ngc.FlowGraph(gb), 0, 3, 0, 100.0) - - def test_rebalance_demand_rejects_a_different_pair(self, algs): - # remove_demand() empties flows_, so rebalance_demand must check the pair - # itself rather than relying on the check inside place_demand. - g = _graph(4, [(0, 1, 10.0, 1), (2, 3, 10.0, 1)]) - fg = ngc.FlowGraph(g) - policy = ngc.FlowPolicy(algs, algs.build_graph(g), ngc.FlowPolicyConfig()) - policy.place_demand(fg, 0, 1, 0, 5.0) - with pytest.raises(ValueError, match="different \\(src, dst\\)"): - policy.rebalance_demand(fg, 2, 3, 0, 5.0) - # The matching pair still rebalances, and retargeting after remove_demand works. - policy.rebalance_demand(fg, 0, 1, 0, 2.0) - policy.remove_demand(fg) - assert policy.place_demand(fg, 2, 3, 0, 5.0)[0] == pytest.approx(5.0) - - -class TestBindingValidationConsistency: - """Findings 11-12: validation that differed between analogous entry points.""" - - def _line(self): - return _graph(3, [(0, 1, 5.0, 1), (1, 2, 5.0, 1)]) - - def test_batch_max_flow_rejects_out_of_range_like_max_flow(self, algs): - pg = algs.build_graph(self._line()) - # Previously this returned total_flow=0.0 and the bad id vanished into the batch. - with pytest.raises(ValueError, match="out of range"): - algs.batch_max_flow(pg, np.array([[0, 99]], dtype=np.int32)) - with pytest.raises(ValueError, match="out of range"): - algs.max_flow(pg, 0, 99) - - def test_ksp_validates_dtype_even_when_no_paths_exist(self, algs): - pg = algs.build_graph(self._line()) - # 2 -> 0 is unreachable, so the results loop never runs; the dtype check used - # to live inside that loop and silently accepted the bad value. - with pytest.raises(ValueError, match="dtype must be"): - algs.ksp(pg, 2, 0, k=1, dtype="float32") - - def test_algorithms_backend_argument_is_nameable(self): - assert isinstance(ngc.Algorithms(backend=ngc.Backend.cpu()), ngc.Algorithms) - - def test_unreachable_flow_record_class_is_not_exported(self): - import _netgraph_core - - # Nothing could construct or receive it, and the name collided with the C++ - # alias `using Flow = double`. - assert not hasattr(_netgraph_core, "Flow") - - -class TestTypeStubAccuracy: - """Finding 13: _docs.py declared types that did not match runtime.""" - - def test_min_cut_edges_is_an_int32_array_not_a_list(self, algs): - g = _graph(3, [(0, 1, 5.0, 1), (1, 2, 5.0, 1)]) - _, summary = algs.max_flow(algs.build_graph(g), 0, 2) - edges = summary.min_cut.edges - assert isinstance(edges, np.ndarray) - assert edges.dtype == np.int32 - - def test_stub_declares_only_names_that_exist(self): - import _netgraph_core - - from netgraph_core import _docs - - declared = { - n - for n in dir(_docs) - if not n.startswith("_") and isinstance(getattr(_docs, n), type) - } - missing = {n for n in declared if not hasattr(_netgraph_core, n)} - assert not missing, f"_docs.py declares nonexistent runtime types: {missing}" - - -class TestErrorTypeConsistency: - """Finding 14: the same class of user error raised different exception types.""" - - @pytest.fixture - def pg(self, algs): - return algs.build_graph(_graph(3, [(0, 1, 5.0, 1), (1, 2, 5.0, 1)])) - - def test_spf_residual_length_raises_type_error_like_masks(self, algs, pg): - # Previously the residual length check fell through to the C++ core, which - # throws std::invalid_argument -> ValueError, while every mask length check - # in the binding layer raises TypeError. - with pytest.raises(TypeError, match="residual length must equal"): - algs.spf(pg, 0, residual=np.zeros(5)) - with pytest.raises(TypeError, match="node_mask length must equal"): - algs.spf(pg, 0, node_mask=np.ones(7, dtype=bool)) - - def test_wrong_typed_arguments_raise_type_error_not_runtime_error(self, algs, pg): - # These hand-rolled casts used to surface as - # "RuntimeError: Unable to cast ... to C++ type '?'", which no `except - # TypeError` catches and which names nothing actionable. - with pytest.raises(TypeError, match="must be a StrictMultiDiGraph"): - algs.build_graph(5) - with pytest.raises(TypeError, match="must be an Algorithms"): - ngc.FlowPolicy("not-algorithms", pg, ngc.FlowPolicyConfig()) - - -class TestKspCostCeiling: - """Finding 15: k>1 with max_cost_factor < 1.0 read paths.back() on an empty vector. - - The ceiling lands below the shortest path, so nothing is admitted. The k == 1 - branch returned early and masked the undefined behaviour; k >= 2 fell into the - spur loop, which opens with `paths.back()`. - """ - - @pytest.mark.parametrize("k", [1, 2, 5]) - @pytest.mark.parametrize("factor", [0.5, 0.99]) - def test_sub_unit_factor_returns_empty_for_every_k(self, algs, k, factor): - g = _graph(3, [(0, 1, 5.0, 1), (1, 2, 5.0, 1)]) - pg = algs.build_graph(g) - assert algs.ksp(pg, 0, 2, k=k, max_cost_factor=factor) == [] - - @pytest.mark.parametrize("k", [1, 2, 5]) - def test_unit_factor_still_admits_the_shortest_path(self, algs, k): - g = _graph(3, [(0, 1, 5.0, 1), (1, 2, 5.0, 1)]) - pg = algs.build_graph(g) - assert len(algs.ksp(pg, 0, 2, k=k, max_cost_factor=1.0)) == 1 - - -class TestStubConstructorConsistency: - """Finding 16: widened stubs declared no __init__ for classes that need one. - - `_docs.py` is wired to type checkers, so a stub whose constructor disagrees - with the binding turns "unchecked" into "confidently wrong": pyright rejected - every real `FlowIndex(src, dst, cls, id)` call in the downstream consumer. - This repo's own pyright missed it because `tests/**` is excluded, so assert - the correspondence at runtime instead. - """ - - def _runtime_classes(self): - import _netgraph_core - - for name in sorted(n for n in dir(_netgraph_core) if not n.startswith("_")): - obj = getattr(_netgraph_core, name) - if isinstance(obj, type): - yield name, obj - - def test_stub_declares_init_wherever_construction_needs_arguments(self): - from netgraph_core import _docs - - missing = [] - for name, rt in self._runtime_classes(): - stub = getattr(_docs, name, None) - if stub is None: - continue # not part of the typed surface - try: - rt() - continue # zero-arg construction works; a bare stub is fine - except Exception: - pass - doc = rt.__init__.__doc__ or "" - if "__init__" not in doc: - continue # no bound constructor at all (e.g. result-only types) - if "__init__" not in vars(stub): - missing.append(name) - assert not missing, ( - f"stub classes need an __init__ matching the binding: {missing}" - ) - - def test_stub_attributes_exist_at_runtime(self): - from netgraph_core import _docs - - wrong = [] - for name, rt in self._runtime_classes(): - stub = getattr(_docs, name, None) - if stub is None: - continue - declared = { - a - for a in vars(stub) - if not a.startswith("_") and not callable(vars(stub)[a]) - } - declared |= set(getattr(stub, "__annotations__", {})) - for attr in declared: - if not hasattr(rt, attr): - wrong.append(f"{name}.{attr}") - assert not wrong, f"_docs.py declares attributes absent at runtime: {wrong}" - - def test_flow_index_constructor_matches_the_binding(self): - # The exact call shape the downstream consumer uses. - idx = ngc.FlowIndex(1, 2, 3, 4) - assert (idx.src, idx.dst, idx.flowClass, idx.flowId) == (1, 2, 3, 4) - with pytest.raises(TypeError): - ngc.FlowIndex(src=1, dst=2, flowClass=3, flowId=4) # positional-only - with pytest.raises(AttributeError): - idx.src = 9 # read-only, as the stub's properties declare - - -class TestFlowPolicyMaxPathCostFactor: - """`max_path_cost_factor` had no test coverage at all. - - The gate multiplies the best path cost by the factor and casts back to Cost. - Before 0.8.0 it did that unconditionally, including while `best_path_cost_` was - still the INT64_MAX "no best path yet" sentinel -- the product is then far outside - the int64 range and the conversion is undefined behavior. The fix skips the - relative bound until a best cost exists and drops it when the product would not - fit. Neither branch was exercised by any test. - - Scope: these are *coverage* tests, not detectors of the original UB. They pass - against 0.7.2 (pre-fix) too, because an out-of-range float->int conversion is - undefined rather than reliably wrong -- in practice it saturates to something that - still admits the path. They also cannot reach the sentinel branch at all: a - reachable destination updates `best_path_cost_` (flow_policy.cpp:135) before the - gate runs. Their value is guarding the *functional* behaviour of the bound. - - Detection of the UB itself lives in C++, in - `FlowPolicyCostBounds.MaxPathCostFactor_*` -- `make sanitize-test` builds with - sanitizers but runs `ctest`, so it never executes this Python suite. Those tests - use an unreachable destination to keep the sentinel live, and fail against the - pre-fix conversion. - """ - - @staticmethod - def _policy(algs, gh, *, max_flow_count=1, **cfg_kwargs): - sel = ngc.EdgeSelection( - multi_edge=True, - require_capacity=True, - tie_break=ngc.EdgeTieBreak.DETERMINISTIC, - ) - cfg = ngc.FlowPolicyConfig( - path_alg=ngc.PathAlg.SPF, - flow_placement=ngc.FlowPlacement.PROPORTIONAL, - selection=sel, - max_flow_count=max_flow_count, - **cfg_kwargs, - ) - return ngc.FlowPolicy(algs, gh, cfg) - - def test_factor_applies_before_any_best_cost_exists(self, algs): - """First placement: the sentinel path must not be multiplied and cast.""" - g = _graph(3, [(0, 1, 1.0, 5), (1, 2, 1.0, 5)]) - gh = algs.build_graph(g) - policy = self._policy(algs, gh, max_path_cost_factor=2.0) - placed, left = policy.place_demand(ngc.FlowGraph(g), 0, 2, 0, 1.0) - assert placed == pytest.approx(1.0) - assert left == pytest.approx(0.0) - - def test_huge_factor_does_not_wrap_the_bound(self, algs): - """best_cost * factor overflows int64; the bound must be dropped, not wrapped. - - A wrapped (negative) bound would reject the shortest path itself, so a - successful placement is what distinguishes the guard from the bug. - """ - big = 1 << 60 # legal: total stays below the 2**62 construction ceiling - g = _graph(3, [(0, 1, 1.0, big), (1, 2, 1.0, big)]) - gh = algs.build_graph(g) - policy = self._policy(algs, gh, max_path_cost_factor=1e9) - placed, _ = policy.place_demand(ngc.FlowGraph(g), 0, 2, 0, 1.0) - assert placed == pytest.approx(1.0) - - def test_factor_still_excludes_a_too_expensive_alternative(self, algs): - """The bound must remain functional, not merely safe.""" - g = _graph( - 4, - [ - (0, 1, 1.0, 1), - (1, 3, 1.0, 1), # cost 2 route - (0, 2, 5.0, 50), - (2, 3, 5.0, 50), # cost 100 route, far beyond 2x - ], - ) - gh = algs.build_graph(g) - policy = self._policy( - algs, gh, max_flow_count=4, max_path_cost_factor=2.0, min_flow_count=1 - ) - placed, _ = policy.place_demand(ngc.FlowGraph(g), 0, 3, 0, 6.0) - # Only the cost-2 route is within 2x; the cost-100 route must stay unused. - assert placed == pytest.approx(1.0) diff --git a/tests/py/test_sensitivity.py b/tests/py/test_sensitivity.py deleted file mode 100644 index 00da0f0..0000000 --- a/tests/py/test_sensitivity.py +++ /dev/null @@ -1,196 +0,0 @@ -import os - -import numpy as np - -import netgraph_core as ngc - - -def _make_graph(num_nodes, src, dst, capacity, cost): - """Helper to build graph with auto-generated ext_edge_ids.""" - ext_edge_ids = np.arange(len(src), dtype=np.int64) - return ngc.StrictMultiDiGraph.from_arrays( - num_nodes, src, dst, capacity, cost, ext_edge_ids - ) - - -def test_sensitivity_simple(): - # S->T (cap 10) - g = _make_graph( - num_nodes=2, - src=np.array([0], dtype=np.int32), - dst=np.array([1], dtype=np.int32), - capacity=np.array([10.0], dtype=np.float64), - cost=np.array([1], dtype=np.int64), - ) - alg = ngc.Algorithms(ngc.Backend.cpu()) - gh = alg.build_graph(g) - - res = alg.sensitivity_analysis(gh, 0, 1) - assert len(res) == 1 - assert res[0][0] == 0 # Edge ID - assert res[0][1] == 10.0 - - -def test_sensitivity_parallel(): - # S->T (cap 10), S->T (cap 10) - g = _make_graph( - num_nodes=2, - src=np.array([0, 0], dtype=np.int32), - dst=np.array([1, 1], dtype=np.int32), - capacity=np.array([10.0, 10.0], dtype=np.float64), - cost=np.array([1, 1], dtype=np.int64), - ) - alg = ngc.Algorithms(ngc.Backend.cpu()) - gh = alg.build_graph(g) - - res = alg.sensitivity_analysis(gh, 0, 1) - assert len(res) == 2 - for _eid, delta in res: - assert delta == 10.0 - - -def test_sensitivity_partial(): - # S->A (10), S->B (5), A->T (5), B->T (10) - # 0->1 (0), 0->2 (1), 1->3 (2), 2->3 (3) - g = _make_graph( - num_nodes=4, - src=np.array([0, 0, 1, 2], dtype=np.int32), - dst=np.array([1, 2, 3, 3], dtype=np.int32), - capacity=np.array([10.0, 5.0, 5.0, 10.0], dtype=np.float64), - cost=np.array([1, 1, 1, 1], dtype=np.int64), - ) - alg = ngc.Algorithms(ngc.Backend.cpu()) - gh = alg.build_graph(g) - - # With all equal-cost edges, shortest_path=True/False give the same result. - - res = alg.sensitivity_analysis(gh, 0, 3) - - # Saturated: S->B (1), A->T (2) - saturated = {1, 2} - assert len(res) == 2 - for eid, delta in res: - assert eid in saturated - assert delta == 5.0 - - -def test_sensitivity_masked(): - # Two parallel paths, cap 10. One masked out via input mask. - g = _make_graph( - num_nodes=2, - src=np.array([0, 0], dtype=np.int32), - dst=np.array([1, 1], dtype=np.int32), - capacity=np.array([10.0, 10.0], dtype=np.float64), - cost=np.array([1, 1], dtype=np.int64), - ) - alg = ngc.Algorithms(ngc.Backend.cpu()) - gh = alg.build_graph(g) - - # Mask edge 1 - edge_mask = np.array([True, False], dtype=bool) - - res = alg.sensitivity_analysis(gh, 0, 1, edge_mask=edge_mask) - - # Should only see edge 0. Max flow is 10. Sensitivity of edge 0 is 10. - assert len(res) == 1 - assert res[0][0] == 0 - assert res[0][1] == 10.0 - - -def test_sensitivity_shortest_path_vs_max_flow(): - """Test that shortest_path mode produces different sensitivity results. - - Topology: S(0) -> A(1) -> T(2) [cost 1+1=2, cap 10 each] - S(0) -> B(3) -> T(2) [cost 2+2=4, cap 5 each] - - With shortest_path=False (full max-flow): - - Uses both paths: S->A->T (10) + S->B->T (5) = 15 total - - All 4 edges are saturated and critical - - With shortest_path=True (single-pass, IP/IGP mode): - - Only uses cheapest path: S->A->T (10) - - Edges 2,3 (S->B->T path) are NOT used, so NOT critical - """ - g = _make_graph( - num_nodes=4, - src=np.array([0, 1, 0, 3], dtype=np.int32), - dst=np.array([1, 2, 3, 2], dtype=np.int32), - capacity=np.array([10.0, 10.0, 5.0, 5.0], dtype=np.float64), - cost=np.array([1, 1, 2, 2], dtype=np.int64), # S->A->T costs 2, S->B->T costs 4 - ) - alg = ngc.Algorithms(ngc.Backend.cpu()) - gh = alg.build_graph(g) - - # Step 1: Verify baseline flow values with max_flow - # This validates the routing semantics before testing sensitivity - flow_full, _ = alg.max_flow(gh, 0, 2, shortest_path=False) - flow_sp, _ = alg.max_flow(gh, 0, 2, shortest_path=True) - - assert abs(flow_full - 15.0) < 1e-9, f"Full max-flow should be 15, got {flow_full}" - assert abs(flow_sp - 10.0) < 1e-9, f"Shortest-path flow should be 10, got {flow_sp}" - - # Step 2: Test sensitivity with shortest_path=False (full max-flow) - res_full = alg.sensitivity_analysis(gh, 0, 2, shortest_path=False) - - # All 4 edges should be saturated and critical - assert len(res_full) == 4, "Full max-flow should report all 4 edges as critical" - edge_ids_full = {eid for eid, _ in res_full} - assert edge_ids_full == {0, 1, 2, 3} - - # Step 3: Test sensitivity with shortest_path=True (IP/IGP mode) - res_sp = alg.sensitivity_analysis(gh, 0, 2, shortest_path=True) - - # Only edges 0,1 (S->A->T path) should be critical - assert len(res_sp) == 2, "Shortest-path mode should only report 2 edges as critical" - edge_ids_sp = {eid for eid, _ in res_sp} - assert edge_ids_sp == {0, 1}, f"Expected edges 0,1 but got {edge_ids_sp}" - - # Delta values: baseline=10, with edge removed traffic uses S->B->T (cap 5) - for eid, delta in res_sp: - assert abs(delta - 5.0) < 1e-9, f"Edge {eid} should have delta 5.0, got {delta}" - - -def test_sensitivity_order_deterministic_across_runs(): - """Repeated runs should preserve the same edge ordering and deltas.""" - g = _make_graph( - num_nodes=4, - src=np.array([0, 0, 1, 2], dtype=np.int32), - dst=np.array([1, 2, 3, 3], dtype=np.int32), - capacity=np.array([10.0, 5.0, 5.0, 10.0], dtype=np.float64), - cost=np.array([1, 1, 1, 1], dtype=np.int64), - ) - alg = ngc.Algorithms(ngc.Backend.cpu()) - gh = alg.build_graph(g) - - first = alg.sensitivity_analysis(gh, 0, 3) - second = alg.sensitivity_analysis(gh, 0, 3) - - assert first == second - - -def test_sensitivity_threaded_matches_serial(): - """Threaded sensitivity must exactly match the forced-serial reference.""" - g = _make_graph( - num_nodes=4, - src=np.array([0, 1, 0, 3], dtype=np.int32), - dst=np.array([1, 2, 3, 2], dtype=np.int32), - capacity=np.array([10.0, 10.0, 5.0, 5.0], dtype=np.float64), - cost=np.array([1, 1, 2, 2], dtype=np.int64), - ) - alg = ngc.Algorithms(ngc.Backend.cpu()) - gh = alg.build_graph(g) - - previous = os.environ.get("NGRAPH_CORE_SENSITIVITY_THREADS") - try: - os.environ["NGRAPH_CORE_SENSITIVITY_THREADS"] = "1" - serial = alg.sensitivity_analysis(gh, 0, 2, shortest_path=False) - - os.environ["NGRAPH_CORE_SENSITIVITY_THREADS"] = "4" - threaded = alg.sensitivity_analysis(gh, 0, 2, shortest_path=False) - finally: - if previous is None: - os.environ.pop("NGRAPH_CORE_SENSITIVITY_THREADS", None) - else: - os.environ["NGRAPH_CORE_SENSITIVITY_THREADS"] = previous - - assert threaded == serial diff --git a/tests/py/test_spf_basic.py b/tests/py/test_spf_basic.py deleted file mode 100644 index 1eb38bd..0000000 --- a/tests/py/test_spf_basic.py +++ /dev/null @@ -1,184 +0,0 @@ -"""SPF basics. - -Core shortest-path semantics: distances, predecessor DAG equivalence, output -shapes/offsets, and destination early-exit behavior. -""" - -import numpy as np - -import netgraph_core as ngc - - -def run_spf( - g, - src, - dst=None, - selection=None, - *, - multipath=True, - _conv=None, - algs=None, - to_handle=None, -): - if selection is None: - selection = ngc.EdgeSelection( - multi_edge=True, - require_capacity=False, - tie_break=ngc.EdgeTieBreak.DETERMINISTIC, - ) - assert algs is not None and to_handle is not None - gh = to_handle(g) - dist, dag = algs.spf(gh, src, dst, selection=selection, multipath=multipath) - return dist, (_conv or (lambda gg, dd: dd))(g, dag) - - -def test_spf_line1_all_min_cost( - line1_graph, dag_to_pred_map, assert_pred_dag_integrity, algs, to_handle -): - g = line1_graph - dist, pred = run_spf(g, 0, _conv=dag_to_pred_map, algs=algs, to_handle=to_handle) - assert np.allclose(dist, np.array([0.0, 1.0, 2.0])) - assert pred == {0: {}, 1: {0: [0]}, 2: {1: [1, 2]}} - # Validate raw DAG integrity from a direct call - dist2, dag2 = algs.spf(to_handle(g), 0) - assert_pred_dag_integrity(g, dag2) - - -def test_spf_square1_all_min_cost( - square1_graph, dag_to_pred_map, assert_pred_dag_integrity, algs, to_handle -): - g = square1_graph - dist, pred = run_spf(g, 0, _conv=dag_to_pred_map, algs=algs, to_handle=to_handle) - expected_costs = np.array([0.0, 1.0, 2.0, 2.0]) - assert np.allclose(dist, expected_costs) - assert pred == {0: {}, 1: {0: [0]}, 3: {0: [2]}, 2: {1: [1]}} - dist2, dag2 = algs.spf(to_handle(g), 0) - assert_pred_dag_integrity(g, dag2) - - -def test_spf_square2_all_min_cost( - square2_graph, dag_to_pred_map, assert_pred_dag_integrity, algs, to_handle -): - g = square2_graph - dist, pred = run_spf(g, 0, _conv=dag_to_pred_map, algs=algs, to_handle=to_handle) - assert np.isclose(dist[0], 0.0) - assert np.isclose(dist[1], 1.0) - assert np.isclose(dist[3], 1.0) - assert np.isclose(dist[2], 2.0) - assert pred == {0: {}, 1: {0: [0]}, 3: {0: [1]}, 2: {1: [2], 3: [3]}} - dist2, dag2 = algs.spf(to_handle(g), 0) - assert_pred_dag_integrity(g, dag2) - - -def test_spf_graph3_all_min_cost_and_single( - graph3, dag_to_pred_map, assert_pred_dag_integrity, algs, to_handle -): - g = graph3 - # ALL_MIN_COST, multipath=True - sel = ngc.EdgeSelection( - multi_edge=True, - require_capacity=False, - tie_break=ngc.EdgeTieBreak.DETERMINISTIC, - ) - dist, pred = run_spf( - g, 0, selection=sel, _conv=dag_to_pred_map, algs=algs, to_handle=to_handle - ) - assert np.isclose(dist[0], 0.0) - assert np.isclose(dist[1], 1.0) - assert np.isclose(dist[4], 1.0) - assert np.isclose(dist[2], 2.0) - assert np.isclose(dist[5], 3.0) - assert np.isclose(dist[3], 4.0) - assert pred == { - 0: {}, - 1: {0: [0, 1, 2]}, - 4: {0: [3]}, - 2: {1: [4, 5, 6], 4: [8]}, - 5: {2: [7]}, - 3: {0: [11], 2: [10], 5: [9]}, - } - # SINGLE_MIN_COST per adjacency with ECMP across parents - sel2 = ngc.EdgeSelection( - multi_edge=False, - require_capacity=False, - tie_break=ngc.EdgeTieBreak.DETERMINISTIC, - ) - dist2, pred2 = run_spf( - g, - 0, - selection=sel2, - multipath=True, - _conv=dag_to_pred_map, - algs=algs, - to_handle=to_handle, - ) - assert np.allclose(dist2, dist) - assert pred2 == { - 0: {}, - 1: {0: [0]}, - 4: {0: [3]}, - 2: {1: [4], 4: [8]}, - 5: {2: [7]}, - 3: {0: [11], 2: [10], 5: [9]}, - } - # Validate integrity of returned DAGs - dist_all, dag_all = algs.spf(to_handle(g), 0, selection=sel) - assert_pred_dag_integrity(g, dag_all) - dist_single, dag_single = algs.spf(to_handle(g), 0, selection=sel2) - assert_pred_dag_integrity(g, dag_single) - - -def test_spf_capacity_filter_all_min_cost_with_cap_remaining( - build_graph, dag_to_pred_map, assert_pred_dag_integrity, algs, to_handle -): - g = build_graph(2, [(0, 1, 1, 0.0, 0), (0, 1, 1, 1.0, 1)]) - sel = ngc.EdgeSelection( - multi_edge=True, require_capacity=True, tie_break=ngc.EdgeTieBreak.DETERMINISTIC - ) - dist, pred = run_spf( - g, 0, selection=sel, _conv=dag_to_pred_map, algs=algs, to_handle=to_handle - ) - assert np.allclose(dist, np.array([0.0, 1.0])) - assert pred == {0: {}, 1: {0: [1]}} - dist2, dag2 = algs.spf(to_handle(g), 0, selection=sel) - assert_pred_dag_integrity(g, dag2) - - -def test_spf_with_dst_early_exit_equivalence( - square2_graph, dag_to_pred_map, assert_pred_dag_integrity, algs, to_handle -): - g = square2_graph - dist1, pred1 = run_spf(g, 0, _conv=dag_to_pred_map, algs=algs, to_handle=to_handle) - dist2, pred2 = run_spf( - g, 0, dst=2, _conv=dag_to_pred_map, algs=algs, to_handle=to_handle - ) - assert np.allclose(dist1, dist2) - assert pred1 == pred2 - d1, dag1 = algs.spf(to_handle(g), 0) - d2, dag2 = algs.spf(to_handle(g), 0, dst=2) - assert_pred_dag_integrity(g, dag1) - assert_pred_dag_integrity(g, dag2) - - -def test_spf_pred_dag_shapes_and_monotonic_offsets(square2_graph, algs, to_handle): - g = square2_graph - sel = ngc.EdgeSelection( - multi_edge=True, - require_capacity=False, - tie_break=ngc.EdgeTieBreak.DETERMINISTIC, - ) - dist, dag = algs.spf(to_handle(g), 0, 2, selection=sel) - # Distances shape - assert isinstance(dist, np.ndarray) - assert dist.shape == (g.num_nodes(),) - # PredDAG arrays - off = np.asarray(dag.parent_offsets) - par = np.asarray(dag.parents) - via = np.asarray(dag.via_edges) - # Offsets length and monotonicity - assert off.shape == (g.num_nodes() + 1,) - assert np.all(off[:-1] <= off[1:]) - # Parents/via sizes match total entries - total = int(off[-1]) - assert par.shape == (total,) - assert via.shape == (total,) diff --git a/tests/py/test_spf_edge_priority.py b/tests/py/test_spf_edge_priority.py deleted file mode 100644 index 15d2e79..0000000 --- a/tests/py/test_spf_edge_priority.py +++ /dev/null @@ -1,71 +0,0 @@ -"""EdgeSelection.priority: which per-edge value ranks equal-cost alternatives.""" - -from __future__ import annotations - -import numpy as np - -import netgraph_core as ngc - - -def _graph(): - # Two parallel equal-cost edges 0 -> 1: capacities 10 and 5, residuals 2 and 4. - g = ngc.StrictMultiDiGraph.from_arrays( - 2, - src=np.array([0, 0], dtype=np.int32), - dst=np.array([1, 1], dtype=np.int32), - capacity=np.array([10.0, 5.0], dtype=np.float64), - cost=np.array([1, 1], dtype=np.int64), - ext_edge_ids=np.array([100, 101], dtype=np.int64), - ) - algs = ngc.Algorithms(ngc.Backend.cpu()) - return g, algs, algs.build_graph(g) - - -def _chosen_edge(algs, gh, priority, residual): - sel = ngc.EdgeSelection( - multi_edge=False, - tie_break=ngc.EdgeTieBreak.PREFER_HIGHER_RESIDUAL, - priority=priority, - ) - _, dag = algs.spf(gh, 0, selection=sel, residual=residual) - via = np.asarray(dag.via_edges) - assert len(via) == 1 - return int(via[0]) - - -def test_priority_default_and_attribute(): - sel = ngc.EdgeSelection() - assert sel.priority == ngc.EdgePriority.RESIDUAL - sel.priority = ngc.EdgePriority.HEADROOM - assert sel.priority == ngc.EdgePriority.HEADROOM - assert set(ngc.EdgePriority.__members__) == {"RESIDUAL", "CAPACITY", "HEADROOM"} - - -def test_priority_selects_the_ranking_value(): - _, algs, gh = _graph() - residual = np.array([2.0, 4.0], dtype=np.float64) - assert _chosen_edge(algs, gh, ngc.EdgePriority.RESIDUAL, residual) == 1 - assert _chosen_edge(algs, gh, ngc.EdgePriority.CAPACITY, residual) == 0 - assert _chosen_edge(algs, gh, ngc.EdgePriority.HEADROOM, residual) == 1 # 0.8 > 0.2 - - -def test_priority_without_residual_falls_back_to_capacity(): - _, algs, gh = _graph() - for pri in ( - ngc.EdgePriority.RESIDUAL, - ngc.EdgePriority.CAPACITY, - ngc.EdgePriority.HEADROOM, - ): - assert _chosen_edge(algs, gh, pri, None) == 0 - - -def test_priority_does_not_change_eligibility(): - # A saturated edge stays excluded under capacity gating whatever the priority. - _, algs, gh = _graph() - residual = np.array([0.0, 4.0], dtype=np.float64) - for pri in ( - ngc.EdgePriority.RESIDUAL, - ngc.EdgePriority.CAPACITY, - ngc.EdgePriority.HEADROOM, - ): - assert _chosen_edge(algs, gh, pri, residual) == 1 diff --git a/tests/py/test_spf_edge_select.py b/tests/py/test_spf_edge_select.py deleted file mode 100644 index 7b5cabc..0000000 --- a/tests/py/test_spf_edge_select.py +++ /dev/null @@ -1,186 +0,0 @@ -"""SPF edge selection variants: capacity-aware and residual-aware tie-breaking.""" - -import numpy as np - -import netgraph_core as ngc - - -def test_spf_all_min_cost_with_cap_remaining_selects_all_equal_cost_edges( - build_graph, assert_pred_dag_integrity, algs, to_handle -): - # Two parallel equal-cost edges; both have capacity > 0 - edges = [ - (0, 1, 1.0, 5.0, 10), - (0, 1, 1.0, 7.0, 20), - ] - g = build_graph(2, edges) - sel = ngc.EdgeSelection( - multi_edge=True, require_capacity=True, tie_break=ngc.EdgeTieBreak.DETERMINISTIC - ) - dist, dag = algs.spf(to_handle(g), 0, 1, selection=sel) - # Distance should reflect the minimum cost (1.0) - assert np.isclose(dist[1], 1.0) - # Parent list for node 1 should include both parallel edges (two entries) - off = np.asarray(dag.parent_offsets) - via = np.asarray(dag.via_edges) - s, e = int(off[1]), int(off[2]) - assert e - s == 2 - assert {int(via[i]) for i in range(s, e)}.issubset(set(range(g.num_edges()))) - assert_pred_dag_integrity(g, dag) - - -def test_spf_single_min_cost_with_cap_remaining_selects_one_deterministically( - build_graph, - assert_pred_dag_integrity, - algs, - to_handle, -): - # Two parallel min-cost edges; expect exactly one chosen (deterministic by compaction) - edges = [ - (0, 1, 1.0, 5.0, 20), - (0, 1, 1.0, 5.0, 10), - ] - g = build_graph(2, edges) - sel = ngc.EdgeSelection( - multi_edge=False, - require_capacity=True, - tie_break=ngc.EdgeTieBreak.DETERMINISTIC, - ) - dist, dag = algs.spf(to_handle(g), 0, 1, selection=sel) - assert np.isclose(dist[1], 1.0) - off = np.asarray(dag.parent_offsets) - via = np.asarray(dag.via_edges) - s, e = int(off[1]), int(off[2]) - assert e - s == 1 - assert int(via[s]) in range(g.num_edges()) - assert_pred_dag_integrity(g, dag) - - -def test_spf_all_min_cost_parallel_edges( - build_graph, assert_pred_dag_integrity, algs, to_handle -): - # Two min-cost parallels and one higher-cost; expect both min-cost edges selected - edges = [ - (0, 1, 1.0, 5.0, 10), - (0, 1, 1.0, 7.0, 20), - (0, 1, 2.0, 9.0, 30), - ] - g = build_graph(2, edges) - sel = ngc.EdgeSelection( - multi_edge=True, - require_capacity=False, - tie_break=ngc.EdgeTieBreak.DETERMINISTIC, - ) - dist, dag = algs.spf(to_handle(g), 0, 1, selection=sel) - assert np.isclose(dist[1], 1.0) - off = np.asarray(dag.parent_offsets) - s, e = int(off[1]), int(off[2]) - assert e - s == 2 - assert_pred_dag_integrity(g, dag) - - -def test_spf_single_min_cost_parallel_edges( - build_graph, assert_pred_dag_integrity, algs, to_handle -): - # Two min-cost parallels; expect deterministic single edge selection - edges = [ - (0, 1, 1.0, 5.0, 20), - (0, 1, 1.0, 7.0, 10), - ] - g = build_graph(2, edges) - sel = ngc.EdgeSelection( - multi_edge=False, - require_capacity=False, - tie_break=ngc.EdgeTieBreak.DETERMINISTIC, - ) - dist, dag = algs.spf(to_handle(g), 0, 1, selection=sel) - assert np.isclose(dist[1], 1.0) - off = np.asarray(dag.parent_offsets) - via = np.asarray(dag.via_edges) - s, e = int(off[1]), int(off[2]) - assert e - s == 1 - assert int(via[s]) in range(g.num_edges()) - assert_pred_dag_integrity(g, dag) - - -def test_spf_all_min_cost_with_cap_remaining_filters_zero_cap( - build_graph, assert_pred_dag_integrity, algs, to_handle -): - # Two min-cost parallels; one has zero capacity and must be excluded - edges = [ - (0, 1, 1.0, 0.0, 10), - (0, 1, 1.0, 1.0, 20), - ] - g = build_graph(2, edges) - sel = ngc.EdgeSelection( - multi_edge=True, require_capacity=True, tie_break=ngc.EdgeTieBreak.DETERMINISTIC - ) - dist, dag = algs.spf(to_handle(g), 0, 1, selection=sel) - assert np.isclose(dist[1], 1.0) - off = np.asarray(dag.parent_offsets) - via = np.asarray(dag.via_edges) - s, e = int(off[1]), int(off[2]) - assert e - s == 1 - assert int(via[s]) in range(g.num_edges()) - assert_pred_dag_integrity(g, dag) - - -def test_spf_residual_single_min_cost_with_cap_remaining_load_factored( - build_graph, assert_pred_dag_integrity, algs, to_handle -): - # Two min-cost parallels with different load; prefer lower-load (higher residual) - edges = [ - (0, 1, 1.0, 10.0, 100), # edge A - (0, 1, 1.0, 10.0, 200), # edge B - ] - g = build_graph(2, edges) - residual = np.zeros(g.num_edges(), dtype=np.float64) - # Assign arbitrary loads to trigger deterministic preference; exact mapping by ext id removed - residual[:] = 10.0 - sel = ngc.EdgeSelection( - multi_edge=False, - require_capacity=True, - tie_break=ngc.EdgeTieBreak.PREFER_HIGHER_RESIDUAL, - ) - dist, dag = algs.spf(to_handle(g), 0, 1, selection=sel, residual=residual) - assert np.isclose(dist[1], 1.0) - off = np.asarray(dag.parent_offsets) - via = np.asarray(dag.via_edges) - s, e = int(off[1]), int(off[2]) - assert e - s == 1 - assert int(via[s]) in range(g.num_edges()) - assert_pred_dag_integrity(g, dag) - - -def test_spf_single_path_prefers_higher_residual_equal_cost( - build_graph, assert_pred_dag_integrity, algs, to_handle -): - # Two equal-cost paths 0->1->3 (cap 1) and 0->2->3 (cap 10); single-path mode - edges = [ - (0, 1, 1.0, 1.0, 10), - (1, 3, 1.0, 1.0, 11), - (0, 2, 1.0, 10.0, 20), - (2, 3, 1.0, 10.0, 21), - ] - g = build_graph(4, edges) - sel = ngc.EdgeSelection( - multi_edge=False, - require_capacity=False, - tie_break=ngc.EdgeTieBreak.DETERMINISTIC, - ) - - dist, dag = algs.spf( - to_handle(g), - 0, - 3, - selection=sel, - multipath=False, # single-path mode should prefer the higher-residual path - ) - - assert np.isclose(dist[3], 2.0) - off = np.asarray(dag.parent_offsets) - parents = np.asarray(dag.parents) - s, e = int(off[3]), int(off[4]) - assert e - s == 1 - assert int(parents[s]) == 2 # chooses path via node 2 (higher residual) - assert_pred_dag_integrity(g, dag) diff --git a/tests/py/test_spf_masks.py b/tests/py/test_spf_masks.py deleted file mode 100644 index ea5dfb3..0000000 --- a/tests/py/test_spf_masks.py +++ /dev/null @@ -1,51 +0,0 @@ -"""SPF masks: behavior of node_mask and edge_mask in shortest-path routines.""" - -import numpy as np - -import netgraph_core as ngc - - -def test_node_mask_blocks_path(build_graph, algs, to_handle): - # A=0 -> B=1 -> C=2, all cost=1 - edges = [ - (0, 1, 1, 1, 0), - (1, 2, 1, 1, 1), - ] - g = build_graph(3, edges) - node_mask = np.array([True, False, True], dtype=bool) - sel = ngc.EdgeSelection( - multi_edge=True, - require_capacity=False, - tie_break=ngc.EdgeTieBreak.DETERMINISTIC, - ) - dist, dag = algs.spf(to_handle(g), 0, 2, selection=sel, node_mask=node_mask) - # Destination unreachable because B is masked out - assert np.isinf(dist[2]) - # No parents recorded for 2 - off = np.asarray(dag.parent_offsets) - assert off[2] == off[3] - - -def test_edge_mask_filters_parallel_edges(build_graph, algs, to_handle): - # A=0 -> B=1 with two parallel edges of different costs; only cheap edge should be allowed - edges = [ - (0, 1, 1, 1, 10), - (0, 1, 2, 1, 20), - ] - g = build_graph(2, edges) - edge_mask = np.array([True, False], dtype=bool) - sel = ngc.EdgeSelection( - multi_edge=True, - require_capacity=False, - tie_break=ngc.EdgeTieBreak.DETERMINISTIC, - ) - dist, dag = algs.spf(to_handle(g), 0, 1, selection=sel, edge_mask=edge_mask) - assert np.isclose(dist[1], 1.0) - # Only one predecessor edge should appear - offsets = np.asarray(dag.parent_offsets) - via = np.asarray(dag.via_edges) - start, end = int(offsets[1]), int(offsets[2]) - assert end - start == 1 - # Map via edge id -> ensure it's a valid edge id - e = int(via[start]) - assert 0 <= e < g.num_edges() diff --git a/tests/py/test_spf_queue_env.py b/tests/py/test_spf_queue_env.py deleted file mode 100644 index 962e814..0000000 --- a/tests/py/test_spf_queue_env.py +++ /dev/null @@ -1,69 +0,0 @@ -"""NGRAPH_CORE_SPF_QUEUE selects the SPF frontier queue; both routes must agree.""" - -from __future__ import annotations - -import os -import subprocess -import sys - -SCRIPT = r""" -import hashlib -import numpy as np -import netgraph_core as ngc - -rng = np.random.default_rng(7) -n = 300 -src, dst, cost, cap = [], [], [], [] -for u in range(n): - for k in range(6): - src.append(u); dst.append(int(rng.integers(0, n))) - cost.append(0 if rng.integers(0, 5) == 0 else int(rng.integers(1, 32))) - cap.append(float(1 + rng.integers(0, 100) / 7.0)) -g = ngc.StrictMultiDiGraph.from_arrays( - n, - src=np.array(src, dtype=np.int32), dst=np.array(dst, dtype=np.int32), - capacity=np.array(cap, dtype=np.float64), cost=np.array(cost, dtype=np.int64), - ext_edge_ids=np.arange(len(src), dtype=np.int64), -) -algs = ngc.Algorithms(ngc.Backend.cpu()) -gh = algs.build_graph(g) -h = hashlib.sha256() -residual = np.array(cap, dtype=np.float64); residual[::13] = 0.0 -for s in (0, 17, 150): - for dstn in (None, 5, 299): - for multipath in (True, False): - for me in (True, False): - sel = ngc.EdgeSelection(multi_edge=me, require_capacity=not me, tie_break=ngc.EdgeTieBreak.PREFER_HIGHER_RESIDUAL) - dist, dag = algs.spf(gh, s, dstn, selection=sel, residual=residual, multipath=multipath) - for arr in (np.asarray(dist), np.asarray(dag.parent_offsets), np.asarray(dag.parents), np.asarray(dag.via_edges)): - h.update(np.ascontiguousarray(arr).tobytes()) - dist, dag = algs.spf_to(gh, s, multipath=True) - for arr in (np.asarray(dist), np.asarray(dag.parent_offsets), np.asarray(dag.parents), np.asarray(dag.via_edges)): - h.update(np.ascontiguousarray(arr).tobytes()) -flow, summary = algs.max_flow(gh, 0, 299, with_edge_flows=True) -h.update(repr((flow, list(summary.costs), list(summary.flows))).encode()) -print(h.hexdigest()) -""" - - -def _run(queue: str | None) -> str: - env = dict(os.environ) - env.pop("NGRAPH_CORE_SPF_QUEUE", None) - if queue is not None: - env["NGRAPH_CORE_SPF_QUEUE"] = queue - out = subprocess.run( - [sys.executable, "-c", SCRIPT], - env=env, - check=True, - capture_output=True, - text=True, - ) - return out.stdout.strip() - - -def test_queue_routes_agree_bit_for_bit() -> None: - heap = _run("heap") - bucket = _run("bucket") - auto = _run(None) - assert len(heap) == 64 - assert heap == bucket == auto diff --git a/tests/py/test_spf_to.py b/tests/py/test_spf_to.py deleted file mode 100644 index 664adb8..0000000 --- a/tests/py/test_spf_to.py +++ /dev/null @@ -1,114 +0,0 @@ -"""spf_to: reverse SPF toward one destination, with forced fan-out edges.""" - -from __future__ import annotations - -import numpy as np -import pytest - -import netgraph_core as ngc - - -def _graph(src, dst, cap, cost, n): - return ngc.StrictMultiDiGraph.from_arrays( - num_nodes=n, - src=np.array(src, dtype=np.int32), - dst=np.array(dst, dtype=np.int32), - capacity=np.array(cap, dtype=np.float64), - cost=np.array(cost, dtype=np.int64), - ext_edge_ids=np.arange(len(src), dtype=np.int64), - ) - - -SEL = ngc.EdgeSelection( - multi_edge=True, require_capacity=False, tie_break=ngc.EdgeTieBreak.DETERMINISTIC -) - - -@pytest.fixture -def fanout_graph(): - """P(0) -> S1(1) cost 0, P -> S2(2) cost 0; S1 -> T(4) cap 100; S2 -> M(3) cap 20; M -> T cap 60.""" - g = _graph( - [0, 0, 1, 2, 3], - [1, 2, 4, 3, 4], - [1e6, 1e6, 100.0, 20.0, 60.0], - [0, 0, 1, 1, 1], - 5, - ) - algs = ngc.Algorithms(ngc.Backend.cpu()) - return g, algs, algs.build_graph(g) - - -def test_distances_to_dst_match_forward_spf(fanout_graph): - g, algs, h = fanout_graph - dist_to, dag = algs.spf_to(h, 4, selection=SEL) - for s in range(g.num_nodes()): - d, _ = algs.spf(h, s, 4, selection=SEL) - assert dist_to[s] == d[4] - assert dag.parent_offsets.shape == (g.num_nodes() + 1,) - - -def test_fanout_forces_all_sources_and_admission_scales_globally(fanout_graph): - g, algs, h = fanout_graph - dist, dag = algs.spf_to(h, 4, selection=SEL, fanout_edges=[0, 1]) - assert dist[1] == 1.0 and dist[2] == 2.0 - # S2 has P as parent although P->S2 is not on a shortest P->T path. - assert list(dag.via_edges[dag.parent_offsets[2] : dag.parent_offsets[3]]) == [1] - fg = ngc.FlowGraph(g) - placed = fg.place( - ngc.FlowIndex(0, 4, 0, 0), - 0, - 4, - dag, - 100.0, - ngc.FlowPlacement.EQUAL_BALANCED, - ) - # Even 50/50 split; S2's 20-unit link admits 20 of 50, so the demand scales to 0.4. - assert placed == pytest.approx(40.0) - assert fg.edge_flow_view()[2] == pytest.approx(20.0) - - -def test_fanout_lossy_delivers_what_each_branch_carries(fanout_graph): - g, algs, h = fanout_graph - _, dag = algs.spf_to(h, 4, selection=SEL, fanout_edges=[0, 1]) - fg = ngc.FlowGraph(g) - placed, drops = fg.place_with_drops( - ngc.FlowIndex(0, 4, 0, 0), - 0, - 4, - dag, - 100.0, - ngc.FlowPlacement.EQUAL_BALANCED_LOSSY, - ) - assert placed == pytest.approx(70.0) # 50 via S1 + 20 via S2 - assert drops == [(3, pytest.approx(30.0))] - - -def test_without_fanout_the_pseudo_source_reaches_only_the_nearest_source(fanout_graph): - g, algs, h = fanout_graph - _, dag = algs.spf(h, 0, 4, selection=SEL) - # T is reached only via S1 -> T (edge 2): S2's branch costs 2 and never - # carries flow placed from P. - assert list(dag.via_edges[dag.parent_offsets[4] : dag.parent_offsets[5]]) == [2] - - -def test_fanout_respects_masks_and_reachability(fanout_graph): - g, algs, h = fanout_graph - edge_mask = np.ones(g.num_edges(), dtype=bool) - edge_mask[3] = False # S2 -> M down - dist, dag = algs.spf_to( - h, 4, selection=SEL, edge_mask=edge_mask, fanout_edges=[0, 1] - ) - assert np.isinf(dist[2]) - assert dag.parent_offsets[3] - dag.parent_offsets[2] == 0 - - -def test_fanout_validation(fanout_graph): - g, algs, h = fanout_graph - with pytest.raises(ValueError): - algs.spf_to( - h, 4, selection=SEL, fanout_edges=[4] - ) # M has an incoming DAG entry - with pytest.raises(ValueError): - algs.spf_to(h, 4, selection=SEL, fanout_edges=[99]) - with pytest.raises(ValueError): - algs.spf_to(h, 42, selection=SEL) diff --git a/tests/py/test_static_paths.py b/tests/py/test_static_paths.py deleted file mode 100644 index eb94689..0000000 --- a/tests/py/test_static_paths.py +++ /dev/null @@ -1,392 +0,0 @@ -"""FlowPolicy.set_static_paths: pinned path bundles (MPLS-style routing). - -Semantics under test (design-panel reviewed): -- One flow per usable bundle, each permanently bound to its own bundle in - supply order (the original Python semantics; the first C++ port bound every - flow to bundle[0]). -- Bundles are validated against the graph and pruned against the policy's - masks; a bundle with no surviving src->dst walk is DOWN and creates no flow. -- Flow cost is the min-cost src->dst walk of the PRUNED bundle. -- Pinned policies never grow their flow set and never reoptimize; - max_path_cost/-factor, min_flow_count and reoptimize_flows_on_each_placement - are inert. -- EqualBalanced spreads over the usable (up) bundles only, and the rebalance - loop is iterative (many heterogeneous pinned bundles must not blow the stack). -- PredDAG.from_edges builds a single-path bundle from a contiguous edge list. -""" - -from __future__ import annotations - -import numpy as np -import pytest - -import netgraph_core as ngc - - -def _graph(num_nodes, edges): - """edges: list of (src, dst, capacity, cost).""" - s, d, c, k = zip(*edges, strict=False) - return ngc.StrictMultiDiGraph.from_arrays( - num_nodes, - np.array(s, dtype=np.int32), - np.array(d, dtype=np.int32), - np.array(c, dtype=np.float64), - np.array(k, dtype=np.int64), - np.arange(len(s), dtype=np.int64), - ) - - -def _eid(g, u, v): - """Edge id of u->v after the graph's (cost, src, dst) reordering.""" - es, ed = g.edge_src_view(), g.edge_dst_view() - (idx,) = np.where((es == u) & (ed == v)) - assert idx.size == 1, f"expected exactly one {u}->{v} edge" - return int(idx[0]) - - -@pytest.fixture -def algs(): - return ngc.Algorithms(ngc.Backend.cpu()) - - -@pytest.fixture -def square(algs): - """0->1->2 (cost 1+1, cap 1 each) and 0->3->2 (cost 2+2, cap 2 each).""" - g = _graph(4, [(0, 1, 1.0, 1), (1, 2, 1.0, 1), (0, 3, 2.0, 2), (3, 2, 2.0, 2)]) - pg = algs.build_graph(g) - short = ngc.PredDAG.from_edges(g, [_eid(g, 0, 1), _eid(g, 1, 2)]) - long = ngc.PredDAG.from_edges(g, [_eid(g, 0, 3), _eid(g, 3, 2)]) - return g, pg, short, long - - -class TestFromEdges: - def test_builds_usable_single_path_dag(self, algs, square): - g, pg, short, _ = square - fs = ngc.FlowState(g) - placed = fs.place_on_dag( - 0, 2, short, float("inf"), ngc.FlowPlacement.PROPORTIONAL - ) - assert placed == pytest.approx(1.0) # bottleneck of the 0->1->2 path - - def test_rejects_empty_out_of_range_non_contiguous_and_revisits(self, algs): - g = _graph(3, [(0, 1, 1.0, 1), (1, 2, 1.0, 1), (2, 0, 1.0, 1)]) - e01, e12, e20 = _eid(g, 0, 1), _eid(g, 1, 2), _eid(g, 2, 0) - with pytest.raises(ValueError, match="non-empty"): - ngc.PredDAG.from_edges(g, []) - with pytest.raises(ValueError, match="out of range"): - ngc.PredDAG.from_edges(g, [99]) - with pytest.raises(ValueError, match="not contiguous"): - ngc.PredDAG.from_edges(g, [e01, e20]) - with pytest.raises(ValueError, match="simple path"): - ngc.PredDAG.from_edges(g, [e01, e12, e20]) # returns to node 0 - - -class TestPerFlowBinding: - """The port bug this redesign fixes: every flow bound to bundle[0].""" - - def test_each_flow_bound_to_its_own_bundle_in_supply_order(self, algs, square): - g, pg, short, long = square - fg = ngc.FlowGraph(g) - policy = ngc.FlowPolicy(algs, pg, ngc.FlowPolicyConfig()) - policy.set_static_paths(0, 2, [short, long]) - placed, left = policy.place_demand(fg, 0, 2, 0, 3.0) - assert placed == pytest.approx(3.0) # 1 on the short path + 2 on the long - assert left == pytest.approx(0.0) - # Ordinal binding: creation order == supply order; costs prove which - # bundle each flow holds (short = 2, long = 4). - by_creation = sorted(policy.flows.items(), key=lambda kv: kv[0][3]) - assert [v[2] for _, v in by_creation] == [2, 4] - assert [v[3] for _, v in by_creation] == pytest.approx([1.0, 2.0]) - - def test_supply_order_is_placement_precedence(self, algs, square): - """Proportional pinned placement is greedy in bundle-supply order.""" - g, pg, short, long = square - fg = ngc.FlowGraph(g) - policy = ngc.FlowPolicy(algs, pg, ngc.FlowPolicyConfig()) - policy.set_static_paths(0, 2, [long, short]) # long first this time - placed, _ = policy.place_demand(fg, 0, 2, 0, 2.0) - assert placed == pytest.approx(2.0) - by_creation = sorted(policy.flows.items(), key=lambda kv: kv[0][3]) - # First-supplied bundle (long, cost 4) absorbed everything. - assert [v[2] for _, v in by_creation] == [4, 2] - assert [v[3] for _, v in by_creation] == pytest.approx([2.0, 0.0]) - - -class TestEqualBalanced: - def test_eb_equalizes_to_bottleneck_bundle(self, algs, square): - g, pg, short, long = square - fg = ngc.FlowGraph(g) - policy = ngc.FlowPolicy( - algs, - pg, - ngc.FlowPolicyConfig(flow_placement=ngc.FlowPlacement.EQUAL_BALANCED), - ) - policy.set_static_paths(0, 2, [short, long]) - placed, _ = policy.place_demand(fg, 0, 2, 0, 3.0) - # ECMP over 2 LSPs; the short path caps each at ~1.0. - assert placed == pytest.approx(2.0, abs=1e-3) - vols = [v[3] for v in policy.flows.values()] - assert max(vols) - min(vols) < 1e-3 - - def test_eb_spreads_over_up_bundles_only(self, algs, square): - g, pg, short, long = square - em = np.ones(4, dtype=bool) - em[_eid(g, 0, 1)] = False # short path down - fg = ngc.FlowGraph(g) - policy = ngc.FlowPolicy( - algs, - pg, - ngc.FlowPolicyConfig(flow_placement=ngc.FlowPlacement.EQUAL_BALANCED), - edge_mask=em, - ) - policy.set_static_paths(0, 2, [short, long]) - placed, _ = policy.place_demand(fg, 0, 2, 0, 3.0) - # One up LSP; head-end ECMP over up tunnels only -> full 2.0 on the long - # path, not volume/2 as a supplied-count divisor would give. - assert policy.flow_count() == 1 - assert placed == pytest.approx(2.0, abs=1e-3) - - def test_many_heterogeneous_bundles_do_not_blow_the_stack(self, algs): - """256 pinned parallel LSPs with one small bundle: the EB rebalance loop - (previously recursion of depth ~U * ln(imbalance/kMinFlow)) must survive.""" - n_paths = 256 - edges = [] - # src=0, dst=1, path i via node 2+i with capacity 100 except one runt. - for i in range(n_paths): - mid = 2 + i - cap = 0.5 if i == 0 else 100.0 - edges.append((0, mid, cap, 1)) - edges.append((mid, 1, cap, 1)) - g = _graph(2 + n_paths, edges) - pg = algs.build_graph(g) - bundles = [ - ngc.PredDAG.from_edges(g, [_eid(g, 0, 2 + i), _eid(g, 2 + i, 1)]) - for i in range(n_paths) - ] - fg = ngc.FlowGraph(g) - policy = ngc.FlowPolicy( - algs, - pg, - ngc.FlowPolicyConfig(flow_placement=ngc.FlowPlacement.EQUAL_BALANCED), - ) - policy.set_static_paths(0, 1, bundles) - placed, _ = policy.place_demand(fg, 0, 1, 0, 10_000.0) - # ECMP: the runt bundle (cap 0.5) bounds every LSP. - assert placed == pytest.approx(n_paths * 0.5, rel=1e-2) - - def test_second_placement_is_not_incremental(self, algs, square): - """Documented: per-call volume defines the EB per-flow target, so a second - smaller placement adds nothing (parity with dynamic EB + max_flow_count).""" - g, pg, short, long = square - fg = ngc.FlowGraph(g) - policy = ngc.FlowPolicy( - algs, - pg, - ngc.FlowPolicyConfig(flow_placement=ngc.FlowPlacement.EQUAL_BALANCED), - ) - policy.set_static_paths(0, 2, [short, long]) - first, _ = policy.place_demand(fg, 0, 2, 0, 2.0) - assert first == pytest.approx(2.0, abs=1e-3) - # The smaller per-call volume yields a smaller per-flow target that the - # flows already meet, so nothing new is placed and the new volume is - # returned as leftover. - second, second_left = policy.place_demand(fg, 0, 2, 0, 1.0) - assert second == pytest.approx(0.0, abs=1e-3) - assert second_left == pytest.approx(1.0, abs=1e-3) - assert policy.placed_demand() == pytest.approx(first, abs=1e-3) - - -class TestDiminishingReturnsArming: - def test_more_bundles_than_window_all_receive_volume(self, algs): - """16 LSPs x cap 1 against volume 10000: the diminishing-returns window - (8) must not fire before every pinned flow was visited once.""" - n_paths = 16 - edges = [] - for i in range(n_paths): - mid = 2 + i - edges.append((0, mid, 1.0, 1)) - edges.append((mid, 1, 1.0, 1)) - g = _graph(2 + n_paths, edges) - pg = algs.build_graph(g) - bundles = [ - ngc.PredDAG.from_edges(g, [_eid(g, 0, 2 + i), _eid(g, 2 + i, 1)]) - for i in range(n_paths) - ] - fg = ngc.FlowGraph(g) - policy = ngc.FlowPolicy(algs, pg, ngc.FlowPolicyConfig()) - policy.set_static_paths(0, 1, bundles) - placed, _ = policy.place_demand(fg, 0, 1, 0, 10_000.0) - assert placed == pytest.approx(float(n_paths)) # all 16 units of capacity - - -class TestMaskSemantics: - def test_down_bundle_creates_no_flow_and_cost_is_post_prune(self, algs): - """A bundle whose cheapest walk is masked reports the surviving walk's - cost; a bundle with no surviving walk is down.""" - # Two parallel two-hop walks 0->1: via node 2 (cost 1+1) and node 3 (cost 5+0). - g = _graph( - 4, - [(0, 2, 5.0, 1), (2, 1, 5.0, 1), (0, 3, 5.0, 5), (3, 1, 5.0, 0)], - ) - pg = algs.build_graph(g) - cheap = [_eid(g, 0, 2), _eid(g, 2, 1)] - dear = [_eid(g, 0, 3), _eid(g, 3, 1)] - # One multi-walk bundle containing both walks: merge the two single-path - # DAGs by using an SPF-style DAG is not possible here (costs differ), so - # build the union manually via two bundles for the down test, and use the - # dear-only bundle for the cost check after masking the cheap walk. - b_cheap = ngc.PredDAG.from_edges(g, cheap) - b_dear = ngc.PredDAG.from_edges(g, dear) - - em = np.ones(4, dtype=bool) - em[cheap[0]] = False # kill the cheap walk entirely - - fg = ngc.FlowGraph(g) - policy = ngc.FlowPolicy(algs, pg, ngc.FlowPolicyConfig(), edge_mask=em) - policy.set_static_paths(0, 1, [b_cheap, b_dear]) - placed, _ = policy.place_demand(fg, 0, 1, 0, 100.0) - assert policy.flow_count() == 1 # cheap bundle is DOWN - ((_, flow),) = policy.flows.items() - assert flow[2] == 5 # cost of the surviving (dear) walk - assert placed == pytest.approx(5.0) - - def test_multiwalk_bundle_survives_partial_failure_with_surviving_cost(self, algs): - """An SPF DAG used as one bundle renormalizes over surviving walks and - reports the post-prune min cost (SR-TE-style semantics).""" - # Equal-cost diamond: 0->1 via 2 or via 3, all edges cost 1 cap 5. - g = _graph(4, [(0, 2, 5.0, 1), (2, 1, 5.0, 1), (0, 3, 5.0, 1), (3, 1, 5.0, 1)]) - pg = algs.build_graph(g) - algs_local = algs - _, dag = algs_local.spf(pg, 0, None, multipath=True) - - em = np.ones(4, dtype=bool) - em[_eid(g, 0, 2)] = False # one branch of the DAG fails - - fg = ngc.FlowGraph(g) - policy = ngc.FlowPolicy(algs, pg, ngc.FlowPolicyConfig(), edge_mask=em) - policy.set_static_paths(0, 1, [dag]) - placed, _ = policy.place_demand(fg, 0, 1, 0, 100.0) - assert policy.flow_count() == 1 - assert placed == pytest.approx(5.0) # surviving branch only - ((_, flow),) = policy.flows.items() - assert flow[2] == 2 - - def test_all_bundles_down_places_nothing_and_is_idempotent(self, algs, square): - g, pg, short, long = square - nm = np.ones(4, dtype=bool) - nm[1] = False - nm[3] = False # both intermediate nodes down - fg = ngc.FlowGraph(g) - policy = ngc.FlowPolicy(algs, pg, ngc.FlowPolicyConfig(), node_mask=nm) - policy.set_static_paths(0, 2, [short, long]) - for _ in range(2): - placed, left = policy.place_demand(fg, 0, 2, 0, 3.0) - assert (placed, left) == (0.0, 3.0) - assert policy.flow_count() == 0 - - -class TestPinnedInertness: - def test_reoptimize_on_each_placement_is_inert(self, algs, square): - """With reoptimization enabled (as the TE presets set), pinned flows keep - their bundles: deliberate divergence from the original Python, where - reoptimization silently rerouted pinned flows onto SPF paths.""" - g, pg, short, long = square - fg = ngc.FlowGraph(g) - policy = ngc.FlowPolicy( - algs, pg, ngc.FlowPolicyConfig(reoptimize_flows_on_each_placement=True) - ) - policy.set_static_paths(0, 2, [short, long]) - placed, _ = policy.place_demand(fg, 0, 2, 0, 3.0) - assert placed == pytest.approx(3.0) - by_creation = sorted(policy.flows.items(), key=lambda kv: kv[0][3]) - assert [v[2] for _, v in by_creation] == [2, 4] # bindings unchanged - - def test_max_path_cost_is_inert_for_pinned_bundles(self, algs, square): - g, pg, short, long = square - fg = ngc.FlowGraph(g) - policy = ngc.FlowPolicy(algs, pg, ngc.FlowPolicyConfig(max_path_cost=1)) - policy.set_static_paths(0, 2, [short, long]) # costs 2 and 4, both > 1 - placed, _ = policy.place_demand(fg, 0, 2, 0, 3.0) - assert placed == pytest.approx(3.0) # pinned bundles bypass the cost gate - - def test_lifecycle_remove_and_rebalance(self, algs, square): - g, pg, short, long = square - fg = ngc.FlowGraph(g) - policy = ngc.FlowPolicy(algs, pg, ngc.FlowPolicyConfig()) - policy.set_static_paths(0, 2, [short, long]) - policy.place_demand(fg, 0, 2, 0, 3.0) - policy.remove_demand(fg) - assert np.asarray(fg.edge_flow_view()).sum() == pytest.approx(0.0) - placed, _ = policy.place_demand(fg, 0, 2, 0, 3.0) # re-pins from bundles - assert placed == pytest.approx(3.0) - placed_r, _ = policy.rebalance_demand(fg, 0, 2, 0, 1.0) - assert placed_r == pytest.approx(2.0) # 1.0 per flow target - - -class TestValidation: - def test_repin_before_placement_replaces(self, algs, square): - g, pg, short, long = square - policy = ngc.FlowPolicy(algs, pg, ngc.FlowPolicyConfig()) - policy.set_static_paths(0, 2, [short]) - policy.set_static_paths(0, 2, [short, long]) # no spurious throw - fg = ngc.FlowGraph(g) - placed, _ = policy.place_demand(fg, 0, 2, 0, 3.0) - assert placed == pytest.approx(3.0) - assert policy.flow_count() == 2 - - def test_repin_with_masks_pruning_is_not_spurious(self, algs, square): - """The design-panel blocker: derived max_flow_count must not make - re-pinning the same bundles throw once masks prune some of them.""" - g, pg, short, long = square - em = np.ones(4, dtype=bool) - em[_eid(g, 0, 1)] = False # short bundle will be down (U=1 < N=2) - policy = ngc.FlowPolicy(algs, pg, ngc.FlowPolicyConfig(), edge_mask=em) - policy.set_static_paths(0, 2, [short, long]) - policy.set_static_paths(0, 2, [short, long]) # must not throw - assert policy.flow_count() == 0 # no flows until placement - - def test_rejects_bundle_from_a_different_graph(self, algs, square): - g, pg, short, _ = square - other = _graph( - 4, [(0, 3, 1.0, 7), (3, 2, 1.0, 7), (0, 1, 1.0, 9), (1, 2, 1.0, 9)] - ) - foreign = ngc.PredDAG.from_edges(other, [_eid(other, 0, 1), _eid(other, 1, 2)]) - policy = ngc.FlowPolicy(algs, pg, ngc.FlowPolicyConfig()) - with pytest.raises(ValueError, match="different graph|does not connect"): - policy.set_static_paths(0, 2, [foreign]) - - def test_rejects_bundle_without_src_dst_walk(self, algs, square): - g, pg, short, _ = square - policy = ngc.FlowPolicy(algs, pg, ngc.FlowPolicyConfig()) - with pytest.raises(ValueError, match="no src->dst walk"): - policy.set_static_paths(1, 3, [short]) # short connects 0->2, not 1->3 - - def test_set_after_placement_and_wrong_demand_throw(self, algs, square): - g, pg, short, long = square - fg = ngc.FlowGraph(g) - policy = ngc.FlowPolicy(algs, pg, ngc.FlowPolicyConfig()) - policy.set_static_paths(0, 2, [short]) - policy.place_demand(fg, 0, 2, 0, 1.0) - with pytest.raises(ValueError, match="already holds flows"): - policy.set_static_paths(0, 2, [long]) - policy.remove_demand(fg) - policy.set_static_paths(0, 2, [long]) # allowed again after removal - with pytest.raises(ValueError, match="do not match demand"): - policy.place_demand(fg, 0, 1, 0, 1.0) - - def test_config_incompatibilities(self, algs, square): - g, pg, short, long = square - with pytest.raises(ValueError, match="max_flow_count"): - ngc.FlowPolicy( - algs, pg, ngc.FlowPolicyConfig(max_flow_count=3) - ).set_static_paths(0, 2, [short, long]) - with pytest.raises(ValueError, match="shortest_path"): - ngc.FlowPolicy( - algs, pg, ngc.FlowPolicyConfig(shortest_path=True) - ).set_static_paths(0, 2, [short]) - with pytest.raises(ValueError, match="non-empty"): - ngc.FlowPolicy(algs, pg, ngc.FlowPolicyConfig()).set_static_paths(0, 2, []) - with pytest.raises(ValueError, match="out of range or equal"): - ngc.FlowPolicy(algs, pg, ngc.FlowPolicyConfig()).set_static_paths( - 2, 2, [short] - ) diff --git a/tests/py/test_thread_safety.py b/tests/py/test_thread_safety.py deleted file mode 100644 index 9720542..0000000 --- a/tests/py/test_thread_safety.py +++ /dev/null @@ -1,360 +0,0 @@ -""" -Test thread safety of Python bindings (Issue #4). - -These tests validate that NumPy array data is properly copied before releasing -the GIL, preventing data races when other threads mutate the arrays. -""" - -import threading -import time - -import numpy as np -import pytest - -from netgraph_core import ( - Algorithms, - Backend, - StrictMultiDiGraph, -) - - -def _make_graph(num_nodes, src, dst, capacity, cost): - """Helper to build graph with auto-generated ext_edge_ids.""" - ext_edge_ids = np.arange(len(src), dtype=np.int64) - return StrictMultiDiGraph.from_arrays( - num_nodes, src, dst, capacity, cost, ext_edge_ids - ) - - -class TestSPFThreadSafety: - """Test that spf() is thread-safe with respect to mask mutations.""" - - def test_spf_node_mask_thread_safety(self): - """ - Verify that mutating node_mask in another thread doesn't affect spf() results. - - The C++ code copies the mask to a local vector before releasing the GIL, - so concurrent mutations to the NumPy buffer won't cause data races. - """ - backend = Backend.cpu() - algs = Algorithms(backend) - - n = 100 - g = _make_graph( - n, - np.arange(n - 1, dtype=np.int32), - np.arange(1, n, dtype=np.int32), - np.ones(n - 1) * 10.0, - np.ones(n - 1, dtype=np.int64), - ) - graph = algs.build_graph(g) - - # Create node mask (all True initially) - node_mask = np.ones(n, dtype=bool) - - results = [] - - def run_spf(): - """Run SPF with the mask.""" - dist, dag = algs.spf(graph, 0, node_mask=node_mask) - results.append((dist.copy(), dag)) - - def mutate_mask(): - """Mutate the mask after a short delay.""" - time.sleep(0.001) # Let SPF start - node_mask[:] = False # Try to cause a race - - # Run SPF in main thread while another thread mutates the mask - mutator = threading.Thread(target=mutate_mask) - mutator.start() - - run_spf() - - mutator.join() - - # SPF should see a consistent mask (either all True or all False) - # because the C++ code copies the mask before releasing the GIL - dist, dag = results[0] - - # If mask was all True: all nodes should be reachable - # If mask was all False: only source should have finite distance - # It should NOT be corrupted (some arbitrary subset) - finite_count = np.sum(np.isfinite(dist)) - - # Either saw all True (finite_count == n) or all False (finite_count == 1) - assert finite_count in [1, n], ( - f"SPF saw corrupted mask: {finite_count} finite distances " - f"(expected 1 or {n})" - ) - - def test_spf_edge_mask_thread_safety(self): - """Verify edge_mask is also safe from concurrent mutations.""" - backend = Backend.cpu() - algs = Algorithms(backend) - - n = 50 - edges = [(i, (i + 1) % n) for i in range(n)] # Ring topology - src = np.array([e[0] for e in edges], dtype=np.int32) - dst = np.array([e[1] for e in edges], dtype=np.int32) - - g = _make_graph( - n, - src, - dst, - np.ones(n) * 10.0, - np.ones(n, dtype=np.int64), - ) - graph = algs.build_graph(g) - - edge_mask = np.ones(n, dtype=bool) - - results = [] - - def run_spf(): - dist, dag = algs.spf(graph, 0, edge_mask=edge_mask) - results.append(dist.copy()) - - def mutate_mask(): - time.sleep(0.001) - edge_mask[:] = False - - mutator = threading.Thread(target=mutate_mask) - mutator.start() - run_spf() - mutator.join() - - dist = results[0] - # Should see consistent results (not corrupted) - # Either all edges available (complete ring) or no edges - assert np.sum(np.isfinite(dist)) in [1, n] - - -class TestKSPThreadSafety: - """Test that ksp() is thread-safe with respect to mask mutations.""" - - def test_ksp_mask_thread_safety(self): - """Verify ksp() copies masks before releasing GIL.""" - backend = Backend.cpu() - algs = Algorithms(backend) - - n = 20 - g = _make_graph( - n, - np.array([0, 0, 1, 1, 2], dtype=np.int32), - np.array([1, 2, 3, 4, 4], dtype=np.int32), - np.ones(5) * 10.0, - np.array([1, 2, 1, 2, 1], dtype=np.int64), - ) - graph = algs.build_graph(g) - - node_mask = np.ones(n, dtype=bool) - - results = [] - - def run_ksp(): - paths = algs.ksp(graph, 0, 4, k=3, node_mask=node_mask) - results.append(len(paths)) - - def mutate_mask(): - time.sleep(0.001) - node_mask[2] = False # Block a node - - mutator = threading.Thread(target=mutate_mask) - mutator.start() - run_ksp() - mutator.join() - - # Should get consistent results (either with or without node 2) - num_paths = results[0] - # The mask must be copied before the GIL is released, so the run sees one - # consistent snapshot: 2 paths (mask untouched) or 1 (node 2 blocked, leaving - # 0->1->4). Any other count means it observed a torn mask. - assert num_paths in (1, 2) - - -class TestMaxFlowThreadSafety: - """Test that max_flow() is thread-safe with respect to mask mutations.""" - - def test_maxflow_mask_thread_safety(self): - """Verify max_flow() copies masks before releasing GIL.""" - backend = Backend.cpu() - algs = Algorithms(backend) - - g = _make_graph( - 4, - np.array([0, 0, 1, 2], dtype=np.int32), - np.array([1, 2, 3, 3], dtype=np.int32), - np.array([10.0, 10.0, 10.0, 10.0]), - np.ones(4, dtype=np.int64), - ) - graph = algs.build_graph(g) - - node_mask = np.ones(4, dtype=bool) - edge_mask = np.ones(4, dtype=bool) - - results = [] - - def run_maxflow(): - total_flow, summary = algs.max_flow( - graph, 0, 3, node_mask=node_mask, edge_mask=edge_mask - ) - results.append(total_flow) - - def mutate_masks(): - time.sleep(0.001) - node_mask[1] = False - edge_mask[0] = False - - mutator = threading.Thread(target=mutate_masks) - mutator.start() - run_maxflow() - mutator.join() - - # Should get consistent flow value (either full graph or restricted) - flow = results[0] - assert flow >= 0.0 # Should not be corrupted (negative/NaN) - - -class TestConcurrentAlgorithmCalls: - """Test multiple algorithm calls running concurrently.""" - - def test_concurrent_spf_calls(self): - """Multiple threads calling spf() simultaneously should be safe.""" - backend = Backend.cpu() - algs = Algorithms(backend) - - n = 30 - g = _make_graph( - n, - np.arange(n - 1, dtype=np.int32), - np.arange(1, n, dtype=np.int32), - np.ones(n - 1) * 10.0, - np.ones(n - 1, dtype=np.int64), - ) - graph = algs.build_graph(g) - - results = [] - - def worker(src_node): - """Run SPF from a specific source.""" - mask = np.ones(n, dtype=bool) - mask[src_node] = True # Ensure source is available - dist, dag = algs.spf(graph, src_node, node_mask=mask) - results.append((src_node, dist.copy())) - - # Run multiple SPF calls concurrently - threads = [] - for i in range(5): - t = threading.Thread(target=worker, args=(i,)) - threads.append(t) - t.start() - - for t in threads: - t.join() - - # All threads should complete successfully - assert len(results) == 5 - - # Each result should be valid - for src, dist in results: - assert dist[src] == 0.0 # Source distance is always 0 - - -@pytest.mark.slow -class TestStressThreadSafety: - """Stress tests for thread safety under heavy concurrent load.""" - - def test_repeated_concurrent_mutations(self): - """Repeatedly mutate masks while running algorithms.""" - backend = Backend.cpu() - algs = Algorithms(backend) - - n = 50 - g = _make_graph( - n, - np.arange(n - 1, dtype=np.int32), - np.arange(1, n, dtype=np.int32), - np.random.rand(n - 1) * 100, - np.ones(n - 1, dtype=np.int64), - ) - graph = algs.build_graph(g) - - node_mask = np.ones(n, dtype=bool) - # pytest.fail() inside a worker thread cannot fail the test: the exception - # stays in that thread and join() does not re-raise it. Record failures and - # assert on them from the main thread instead. - errors: list[str] = [] - - def run_algorithms(): - """Run various algorithms repeatedly.""" - for _ in range(20): - try: - algs.spf(graph, 0, node_mask=node_mask) - except Exception as e: # noqa: BLE001 - reported below - errors.append(f"algorithm raised: {e!r}") - - def mutate_continuously(): - """Continuously mutate the mask.""" - try: - for _ in range(100): - node_mask[:] = np.random.rand(n) > 0.5 - time.sleep(0.001) - except Exception as e: # noqa: BLE001 - reported below - errors.append(f"mutator raised: {e!r}") - - algo_thread = threading.Thread(target=run_algorithms) - mutator_thread = threading.Thread(target=mutate_continuously) - - algo_thread.start() - mutator_thread.start() - - algo_thread.join() - mutator_thread.join() - - assert not errors, "; ".join(errors) - - -class TestMemoryOrdering: - """ - Test that mask copying has proper memory ordering. - - This is more of a theoretical concern - if masks aren't properly copied, - we might see stale or reordered writes from other threads. - """ - - def test_mask_sees_latest_values(self): - """ - Verify that when we create a mask and immediately pass it to C++, - the C++ code sees the correct values (not stale cache). - """ - backend = Backend.cpu() - algs = Algorithms(backend) - - n = 10 - g = _make_graph( - n, - np.arange(n - 1, dtype=np.int32), - np.arange(1, n, dtype=np.int32), - np.ones(n - 1), - np.ones(n - 1, dtype=np.int64), - ) - graph = algs.build_graph(g) - - # Create mask with specific pattern - mask = np.zeros(n, dtype=bool) - mask[0] = True # Only source - mask[5] = True # One intermediate node - mask[9] = True # Destination - - # Immediately use it - dist, dag = algs.spf(graph, 0, node_mask=mask) - - # Should respect the mask (only nodes 0, 5, 9 are reachable) - finite_nodes = [i for i in range(n) if np.isfinite(dist[i])] - - # With the mask, we can't reach node 9 because intermediate nodes are blocked - # (except 5, but we need more nodes in the path) - assert 0 in finite_nodes # Source is always reachable - - # The key test: C++ saw the mask we just created (not stale/zero data) - # If it saw all-false or all-true, the results would be very different diff --git a/tests/py/test_units.py b/tests/py/test_units.py new file mode 100644 index 0000000..2c62aea --- /dev/null +++ b/tests/py/test_units.py @@ -0,0 +1,134 @@ +"""to_units (round half up, the only entry of physical numbers) and as_float (APPROACH 2.1).""" + +from __future__ import annotations + +import math +from fractions import Fraction + +import numpy as np +import pytest + +import netgraph_core as ngc + + +@pytest.mark.parametrize("q", [2.0**-12, 1.0, 2.0**-32, 2.0**32]) +def test_half_up_boundaries(q): + assert ngc.to_units(2.5 * q, q) == 3 + assert ngc.to_units(0.5 * q, q) == 1 + assert ngc.to_units(0.49 * q, q) == 0 + assert ngc.to_units(7.5 * q, q) == 8 + assert ngc.to_units(math.nextafter(7.5 * q, 0), q) == 7 + assert ngc.to_units(0.0, q) == 0 + assert ngc.to_units(-0.0, q) == 0 + assert ngc.as_float(12345, q) == 12345 * q + assert type(ngc.to_units(2.5 * q, q)) is int + + +def test_arrays(): + q = 2.0**-12 + out = ngc.to_units([0.5 * q, 1.49 * q, 2.5 * q, 1e15], q) + assert out.dtype == np.int64 + assert out.tolist() == [1, 1, 3, 4096 * 10**15] + assert ngc.to_units(np.array([1.5, 2.5], dtype=np.float32), 1).tolist() == [2, 3] + assert ngc.to_units(np.float64(2.5), 1) == 3 + assert ngc.to_units(np.array([], dtype=float), 1).tolist() == [] + assert ngc.as_float([1, 2, 3], 0.5).tolist() == [0.5, 1.0, 1.5] + assert ngc.as_float(np.array([4096], dtype=np.int64), q).tolist() == [1.0] + + +def test_admission_is_not_additive(): + q = 2.0**-12 + assert ngc.to_units(0.6 * q, q) + ngc.to_units(0.6 * q, q) == 2 + assert ngc.to_units(1.2 * q, q) == 1 + + +def test_exactness_limits(): + assert ngc.to_units(2.0**62 - 512, 1) == (1 << 62) - 512 + assert ngc.as_float((1 << 53) + 1, 1) == 2.0**53 + assert ngc.as_float(1 << 70, 2.0**-12) == 2.0**58 + + +@pytest.mark.parametrize( + "x, pattern", + [ + (float("nan"), "NaN"), + (float("inf"), "finite"), + (-float("inf"), "finite"), + (-1e-300, "negative"), + (2.0**62, "bound"), + ([1.0, float("nan")], "NaN"), + ("1.0", "physical numbers"), + (True, "physical numbers"), + (["a"], "physical numbers"), + ], +) +def test_rejected(x, pattern): + with pytest.raises(ValueError, match=pattern): + ngc.to_units(x, 1) + + +def test_resolution_validated(): + for q in (3.0, 2.0**-33, 2.0**33, 0.0, -1.0, math.nan, math.inf): + with pytest.raises(ValueError, match="resolution"): + ngc.to_units(1.0, q) + with pytest.raises(ValueError, match="resolution"): + ngc.as_float(1, q) + with pytest.raises(ValueError, match="bound"): + ngc.to_units(1.7976931348623157e308, 2.0**32) + + +def test_as_float_rejects_non_integers(): + with pytest.raises(ValueError): + ngc.as_float(1.5, 1) + with pytest.raises(ValueError): + ngc.as_float(np.array([1.5]), 1) + + +@pytest.mark.parametrize("q", [0.0, 3.0, math.nan, 2.0**33, -1.0, math.inf]) +@pytest.mark.parametrize( + "empty", [[], (), np.array([], dtype=np.float64), np.array([], dtype=np.int64)] +) +def test_empty_arrays_validate_the_resolution(q, empty): + # review-1a D3: the resolution is validated before the shape, also for empty input. + with pytest.raises(ValueError, match="resolution"): + ngc.to_units(empty, q) + with pytest.raises(ValueError, match="resolution"): + ngc.as_float(empty, q) + assert ngc.to_units(empty, 1.0).tolist() == [] + if isinstance(empty, np.ndarray) and empty.dtype.kind == "f": + with pytest.raises(ValueError, match="integers"): # not units, even when empty + ngc.as_float(empty, 1.0) + else: + assert ngc.as_float(empty, 1.0).tolist() == [] + + +@pytest.mark.parametrize( + "x, q", + [ + (2**1024, 2.0**-32), + (-(2**1024), 2.0**-32), + (2**1024 - 1, 2.0**-32), + (2**1055 + 3, 2.0**-32), + (2**64 + 1, 1.0), + (2**63, 2.0**-12), + (3 * 2**900 + 1, 2.0**32), + ((1 << 63) - 1, 2.0**-32), + ], +) +def test_as_float_unbounded_ints_are_correctly_rounded(x, q): + # review-1a D4: Python Amounts are unbounded; the scaled value is the correctly rounded + # double of the exact product, and no Python error leaks. + expect = float(Fraction(x) * Fraction(q)) + assert ngc.as_float(x, q) == expect + assert ngc.as_float([x, 1], q).tolist() == [expect, q] + assert ngc.as_float(np.int64(1), q) == q + + +def test_as_float_beyond_the_finite_doubles(): + with pytest.raises(ValueError, match="largest finite double"): + ngc.as_float(2**1100, 2.0**32) + with pytest.raises(ValueError, match="largest finite double"): + ngc.as_float([1, -(2**1100)], 1.0) + assert ngc.as_float(np.array([2**64 - 1], dtype=np.uint64), 1.0).tolist() == [ + 2.0**64 + ] From 231eb855a7f4f91dd46938511c8e66c666b06c45 Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Mon, 5 Oct 2026 04:13:09 -0700 Subject: [PATCH 04/39] Phase 1b: the integer ledger, the placement kernels and the internal search Build the second piece of the streamlined Core on the 1a graph and flow core, against APPROACH revision 27: - FlowGraph: the integer ledger (records as snapshots in FlowId order, residual and allocated views, bottleneck over member edges, reset only unbound), the lifetime table (bound without flows, bound with flows, orphaned records; copy, move, destroy), epochs, ids never reused; a staged, exception-safe commit (every throwing step before one no-throw publication, an epoch-stamped touched set, all-or-nothing scratch growth) with fault-injection tests. - The three kernels in units: MaxFlow as a fresh minimum-cost solve on the view V_i = R0 + own_i with arcs in B' order; Weighted with membership by priority at creation, frozen weights and highest-averages apportionment; EqualBalanced with round robin on a fixed cohort; Admission.Lossy on EB and Weighted (per-call offers, transit drops, +inf injection); split-graph pruning; T_max by bisection with an exact bracket and a checked 62-probe bound. - PredDAG (from_csr with complete validation, predecessors in ascending via EdgeId), Path(g, hops) with to_dag(), Eligibility with intersect. - The internal search: the unique shortest-path DAG over the eligible member graph, anycast pruning, the staged canonical single path with PathSelection projection. - Bindings, _docs.py and stubs for the public classes; 100 C++ tests and 200 Python tests. Gates (dev/design/2026-10-streamline/gates/1b/, uncommitted design tree): workspace check and sanitizers green; oracle population 3,821 pass / 0 fail; check_spf 3,820/3,820; prototype cross-check identical on 45 fixtures and 16,172 random cases; 909 corpus Manual placements equal their references; the equivalence run 0 failures under the 1b rules (no observable change before the policies of 1c); inventory: 0 Core callers of any deleted symbol; A/B/A: construction and max-flow rows 22 to 47 percent faster than df3b894, the five kernel rows 5 to 36 percent faster after the one-pass PredDAG-native route and plan builder; a per-process bimodality of the proportional-grid row (an out-of-line NodeMap::add in the flow core's subset solve whose callee-saved register reloads stalled in some process layouts) fixed by an allocation-free, noexcept, inlined add with a guard test, both grid rows unimodal (-33 and -4 percent). Reviewed adversarially (review-1b, review-1b-fixes, review-1b-fixes2, review-1b-bimodality): D1 to D3, N1, N2 and R15 fixed; D3 settled in the contract (revision 26), R16 in revision 27. NetGraph stays red until its migration converges (Phase 2). Co-Authored-By: Claude Fable 5.1 --- CHANGELOG.md | 29 + CMakeLists.txt | 25 +- README.md | 40 +- bindings/python/module.cpp | 605 +++++++++++- include/netgraph/core/detail/flow_core.hpp | 32 + include/netgraph/core/detail/int128.hpp | 67 ++ include/netgraph/core/detail/kernels.hpp | 153 ++++ .../netgraph/core/detail/ledger_access.hpp | 65 ++ include/netgraph/core/detail/node_map.hpp | 63 ++ include/netgraph/core/detail/pinned_flow.hpp | 104 +++ .../netgraph/core/detail/pred_dag_builder.hpp | 23 + include/netgraph/core/detail/search.hpp | 115 +++ include/netgraph/core/detail/uid.hpp | 11 + include/netgraph/core/flow.hpp | 71 ++ include/netgraph/core/flow_graph.hpp | 86 ++ include/netgraph/core/options.hpp | 33 + include/netgraph/core/pred_dag.hpp | 86 ++ include/netgraph/core/strict_multidigraph.hpp | 5 + python/netgraph_core/__init__.py | 36 +- python/netgraph_core/_docs.py | 310 ++++++- src/flow_graph.cpp | 461 ++++++++++ src/kernels.cpp | 863 ++++++++++++++++++ src/max_flow.cpp | 276 ++++-- src/pinned_flow.cpp | 252 +++++ src/pred_dag.cpp | 268 ++++++ src/search.cpp | 452 +++++++++ src/strict_multidigraph.cpp | 35 +- tests/cpp/flow_graph_tests.cpp | 668 ++++++++++++++ tests/cpp/kernels_tests.cpp | 664 ++++++++++++++ tests/cpp/ledger_fault_tests.cpp | 388 ++++++++ tests/cpp/masking_tests.cpp | 41 + tests/cpp/pred_dag_tests.cpp | 152 +++ tests/cpp/search_tests.cpp | 351 +++++++ tests/py/test_imports.py | 54 +- tests/py/test_internal_search.py | 97 ++ tests/py/test_ledger.py | 288 ++++++ tests/py/test_route_structures.py | 191 ++++ 37 files changed, 7342 insertions(+), 118 deletions(-) create mode 100644 include/netgraph/core/detail/flow_core.hpp create mode 100644 include/netgraph/core/detail/int128.hpp create mode 100644 include/netgraph/core/detail/kernels.hpp create mode 100644 include/netgraph/core/detail/ledger_access.hpp create mode 100644 include/netgraph/core/detail/node_map.hpp create mode 100644 include/netgraph/core/detail/pinned_flow.hpp create mode 100644 include/netgraph/core/detail/pred_dag_builder.hpp create mode 100644 include/netgraph/core/detail/search.hpp create mode 100644 include/netgraph/core/detail/uid.hpp create mode 100644 include/netgraph/core/flow.hpp create mode 100644 include/netgraph/core/flow_graph.hpp create mode 100644 include/netgraph/core/options.hpp create mode 100644 include/netgraph/core/pred_dag.hpp create mode 100644 src/flow_graph.cpp create mode 100644 src/kernels.cpp create mode 100644 src/pinned_flow.cpp create mode 100644 src/pred_dag.cpp create mode 100644 src/search.cpp create mode 100644 tests/cpp/flow_graph_tests.cpp create mode 100644 tests/cpp/kernels_tests.cpp create mode 100644 tests/cpp/ledger_fault_tests.cpp create mode 100644 tests/cpp/pred_dag_tests.cpp create mode 100644 tests/cpp/search_tests.cpp create mode 100644 tests/py/test_internal_search.py create mode 100644 tests/py/test_ledger.py create mode 100644 tests/py/test_route_structures.py diff --git a/CHANGELOG.md b/CHANGELOG.md index 8d33ba4..1e22dae 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -7,6 +7,35 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ## [Unreleased] +### Streamline sub-PR 1b (breaking; integration branch `streamline`) + +- **Ledger**: `FlowGraph(graph, residual=None)` is the integer ledger: a baseline in units + (validated within `[0, capacity_units]`), records as snapshots in FlowId order + (`records()`, `record(flow_id)` with `FlowId = (ledger uid, id)`, ids never reused), + `capacity_units()`, `residual()`, `allocated()`, `bottleneck(sources, elig)`, `reset()` and + `copy()` with the lifetime table (bound, orphaned records; reset and copy rejected while a + policy is bound). `FlowRecord` carries the flow's endpoints as sets, placement, admission, + bundle (`PredDAG`), route cost, `offered` (Lossy only), delivery and per-edge allocations and + drops; counters are 128-bit (exact Python ints). Every policy call reaches the ledger as one + atomic exchange: a failed call, an allocation failure included, changes nothing. +- **Kernels**: `FlowPlacement` (`MAX_FLOW`, `WEIGHTED`, `EQUAL_BALANCED`) and `Admission` + (`LOSSLESS`, `LOSSY`). MaxFlow solves the flow core on the flow's split graph over + `residual + own allocation` (its own allocation cancellable, other owners never); Weighted + apportions by highest averages (D'Hondt, EdgeId ties) over weights frozen at creation from + `priority`; EqualBalanced by round robin from the lowest EdgeId; the cumulative amount grows + to `max(T, min(T + v, T_max))` with `T_max` found exactly on the monotone allocation; Lossy + splits each offer per call and records transit drops. Exercised through the private + `_netgraph_core._PinnedFlow` (a Pinned placement with one bundle) until the policy engine. +- **Route structures**: `PredDAG.from_csr(graph, offsets, parents, via)` with the complete + validation (shape, ranges, endpoints, duplicates, cycles, ascending via within a node), on + the exact integers also beyond int64; + `Path(graph, hops)` with `to_dag()`; `PathSelection`, `EdgeTieBreak` + (`DETERMINISTIC`, `PREFER_HIGHER_PRIORITY`), `EdgePriority`. +- **Eligibility**: `Eligibility.intersect(a, b)`. +- **Search** (internal until sub-PR 1d): the unique shortest-path DAG from a root set in both + directions, anycast pruning to the nearest targets, and the staged canonical single path + (tight DAG, best attainable bottleneck under `PREFER_HIGHER_PRIORITY`, hops, edge ids). + ### Streamline sub-PR 1a (breaking; integration branch `streamline`) The release rebuilds Core in sub-PRs (`dev/design/2026-10-streamline/`). Sub-PR 1a: diff --git a/CMakeLists.txt b/CMakeLists.txt index f92f3d6..86c7559 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -18,6 +18,10 @@ add_executable(netgraph_core_tests tests/cpp/strict_multidigraph_tests.cpp tests/cpp/max_flow_tests.cpp tests/cpp/masking_tests.cpp + tests/cpp/pred_dag_tests.cpp + tests/cpp/search_tests.cpp + tests/cpp/kernels_tests.cpp + tests/cpp/flow_graph_tests.cpp ) target_link_libraries(netgraph_core_tests PRIVATE netgraph_core GTest::gtest_main) target_include_directories(netgraph_core_tests PRIVATE tests/cpp) @@ -29,8 +33,20 @@ add_executable(netgraph_core_tests endif() target_link_options(netgraph_core_tests PRIVATE --coverage) endif() + # Allocation-failure tests replace the global operator new: a separate executable. + add_executable(netgraph_core_fault_tests tests/cpp/ledger_fault_tests.cpp) + target_link_libraries(netgraph_core_fault_tests PRIVATE netgraph_core GTest::gtest_main) + target_include_directories(netgraph_core_fault_tests PRIVATE tests/cpp) + if(NETGRAPH_CORE_COVERAGE AND (CMAKE_CXX_COMPILER_ID MATCHES "GNU|Clang")) + target_compile_options(netgraph_core_fault_tests PRIVATE -O0 -g --coverage) + if(CMAKE_CXX_COMPILER_ID MATCHES "GNU") + target_compile_options(netgraph_core_fault_tests PRIVATE -fprofile-update=atomic) + endif() + target_link_options(netgraph_core_fault_tests PRIVATE --coverage) + endif() include(GoogleTest) gtest_discover_tests(netgraph_core_tests) + gtest_discover_tests(netgraph_core_fault_tests) endif() set(CMAKE_CXX_STANDARD 20) @@ -72,6 +88,11 @@ endif() add_library(netgraph_core STATIC src/strict_multidigraph.cpp src/max_flow.cpp + src/pred_dag.cpp + src/search.cpp + src/kernels.cpp + src/flow_graph.cpp + src/pinned_flow.cpp src/profiling.cpp ) target_include_directories(netgraph_core PUBLIC @@ -228,9 +249,9 @@ if(NETGRAPH_CORE_SANITIZE) -fno-sanitize-recover=undefined) set(SAN_TARGETS netgraph_core _netgraph_core) if(TARGET netgraph_core_tests) - # The test executable links the sanitized static library, so it must be + # The test executables link the sanitized static library, so they must be # built and linked with the same flags to pull in the sanitizer runtime. - list(APPEND SAN_TARGETS netgraph_core_tests) + list(APPEND SAN_TARGETS netgraph_core_tests netgraph_core_fault_tests) endif() foreach(tgt ${SAN_TARGETS}) target_compile_options(${tgt} PRIVATE ${SAN_FLAGS}) diff --git a/README.md b/README.md index 2f616bb..7d4e4fd 100644 --- a/README.md +++ b/README.md @@ -3,10 +3,12 @@ C++ graph engine for network flow analysis, traffic engineering simulation, and capacity planning. > **Streamline in progress.** The `streamline` branch rebuilds Core in sub-PRs -> (`dev/design/2026-10-streamline/`). This build (sub-PR 1a) carries the graph on integer -> units and the minimum-cost flow core behind a private entry point; the ledger, placement -> kernels, policies, searches and evaluators return in the following sub-PRs. The previous API -> (0.12 and earlier) is in git history and on PyPI. +> (`dev/design/2026-10-streamline/`). This build (sub-PR 1b) carries the graph on integer +> units, the minimum-cost flow core behind a private entry point, the route structures +> (`PredDAG`, `Path`), the integer ledger `FlowGraph` and the placement kernels (exercised +> through private entries until the policy engine arrives); policies, the public searches and +> the evaluators return in the following sub-PRs. The previous API (0.12 and earlier) is in git +> history and on PyPI. ## Overview @@ -31,7 +33,35 @@ C++ graph engine for network flow analysis, traffic engineering simulation, and `input_index()`, `row_offsets()`, `in_row_offsets()`, `in_adj_edge_index()`) return read-only NumPy views that keep the graph alive. - **`Eligibility`**: immutable, graph-bound static eligibility built by - `graph.eligibility(excluded_nodes, excluded_edges)`. + `graph.eligibility(excluded_nodes, excluded_edges)`; `Eligibility.intersect(a, b)` returns an + operand when the result equals it, otherwise a new value. + +### Route structures + +- **`PredDAG`**: immutable, graph-bound predecessor DAG in CSR form (`parent_offsets()`, + `parents()`, `via_edges()`), entries in ascending via EdgeId within a node. + `PredDAG.from_csr(graph, offsets, parents, via)` validates the shape, the ranges and endpoints, + duplicates, acyclicity and the canonical order before accepting a DAG. +- **`Path(graph, hops)`**: an explicit walk whose hops may hold several parallel members; + `cost()` is the sum over hops of the minimum member cost and `to_dag()` gives the equivalent + `PredDAG`. +- **`PathSelection(tie_break, priority, multipath=True, multi_edge=True)`** with + `EdgeTieBreak` and `EdgePriority`: the selection axes the searches and policies read. + +### Ledger and kernels + +- **`FlowGraph(graph, residual=None)`**: the integer ledger of one graph: an immutable baseline + in units and the records (`FlowRecord`: flow id, owner, endpoints, placement, admission, + bundle, route cost, offered, delivered, per-edge allocation and drops) of the flows placed on + it. `allocated()` is the exact sum of the records and `residual()` the baseline minus it; + `bottleneck(sources)` lists the saturated frontier; `reset()` and `copy()` follow the lifetime + rules (rejected while a policy is bound). The ledger is mutated only through policies. +- **Kernels** (`FlowPlacement`: `MAX_FLOW`, `WEIGHTED`, `EQUAL_BALANCED`; `Admission`: + `LOSSLESS`, `LOSSY`): MaxFlow is the flow core on the flow's DAG (a replacement on its own + allocation plus the residual), Weighted splits by highest averages over weights frozen at + creation, EqualBalanced by round robin; Lossy forwards hop by hop and records drops. Until the + policy engine lands, a placement on one bundle runs through the private + `_netgraph_core._PinnedFlow`. ### Flow core diff --git a/bindings/python/module.cpp b/bindings/python/module.cpp index b681bdb..d61ce6a 100644 --- a/bindings/python/module.cpp +++ b/bindings/python/module.cpp @@ -1,5 +1,8 @@ /* - Pybind11 module `_netgraph_core`: the graph on integer units and the private flow-core entry. + Pybind11 module `_netgraph_core`: the graph on integer units, the flow core's private entry, + the ledger with its records, the route structures (PredDAG, Path), Eligibility with + intersect, the selection and placement enums, and the private entries of the 1b recorder + population (a Pinned placement with one bundle, the internal search, the apportionment). - Graph accessors return read-only NumPy views that keep the graph alive (no per-call copy). - Integer inputs (capacities, costs, ids, views, caps) must be integers: Python ints, NumPy @@ -10,6 +13,8 @@ - std::invalid_argument from Core maps to ValueError. - _place_global_units is the recorder's private entry point (APPROACH 2.2): it returns the payload as a dict of Python ints and lists. + - Amounts and counters cross as Python ints (exact, also beyond 64 bits); per-edge arrays as + int64 NumPy arrays in EdgeId order; +inf is accepted only as a request (float('inf')). */ #include #include @@ -24,7 +29,16 @@ #include #include +#include "netgraph/core/detail/kernels.hpp" +#include "netgraph/core/detail/ledger_access.hpp" +#include "netgraph/core/detail/pinned_flow.hpp" +#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/detail/search.hpp" +#include "netgraph/core/flow.hpp" +#include "netgraph/core/flow_graph.hpp" #include "netgraph/core/max_flow.hpp" +#include "netgraph/core/options.hpp" +#include "netgraph/core/pred_dag.hpp" #include "netgraph/core/strict_multidigraph.hpp" #include "netgraph/core/types.hpp" @@ -94,6 +108,11 @@ struct WideInts { [[nodiscard]] bool in(std::size_t i, std::int64_t lo, std::int64_t hi) const noexcept { return sign(i) == 0 && value[i] >= lo && value[i] <= hi; } + // The entry as an exact Python int (an overflowing entry compared with another). + [[nodiscard]] py::object exact(std::size_t i) const { + py::object item = source[py::int_(i)]; + return py::reinterpret_steal(PyNumber_Index(item.ptr())); + } template [[nodiscard]] std::vector narrow() const { // after every bound was checked return std::vector(value.begin(), value.end()); @@ -336,6 +355,122 @@ std::shared_ptr make_graph(const py::object& num_nodes, cons return std::make_shared(static_cast(n), src_v, dst_v, cap_v, cost_v, resolution); } + +// ---------------------------------------------------------------- 1b helpers + +// The exact order of wide integers: a positive overflow above every int64, a negative one +// below, and two overflows on the same side by their exact values (review-1b D2). +bool wide_less(const WideInts& w, std::size_t i, std::size_t j) { + if (w.sign(i) != w.sign(j)) return w.sign(i) < w.sign(j); + if (w.sign(i) == 0) return w.value[i] < w.value[j]; + const int less = PyObject_RichCompareBool(w.exact(i).ptr(), w.exact(j).ptr(), Py_LT); + if (less < 0) throw py::error_already_set(); + return less == 1; +} + +// A per-edge integer array in [0, capacity_units[e]] (a ledger baseline, a search residual), +// validated on the unnarrowed values: the length (shape step), then every entry. +std::vector edge_units(const py::object& obj, const StrictMultiDiGraph& g, const char* name) { + const auto num_edges = static_cast(g.num_edges()); + const std::size_t len = sequence_length(obj, name); + if (len != num_edges) { + throw py::value_error(std::string(name) + " has length " + std::to_string(len) + ", expected " + + std::to_string(num_edges) + " (one entry per edge)"); + } + const auto v = wide_integers(obj, (std::string(name) + " (units)").c_str()); + const auto capacity = g.capacity_units(); + for (std::size_t e = 0; e < num_edges; ++e) { + if (!v.in(e, 0, capacity[e])) { + throw py::value_error(std::string(name) + "[" + std::to_string(e) + "] = " + v.text(e) + " is outside [0, capacity_units[" + + std::to_string(e) + "] = " + std::to_string(capacity[e]) + "]"); + } + } + return v.narrow(); +} + +// A node set: one NodeId or a sequence of them, ids range-checked before narrowing. +std::vector node_ids(const py::object& obj, std::int32_t num_nodes, const char* name) { + WideInts ids; + if (!is_bool(obj) && PyIndex_Check(obj.ptr()) && !py::isinstance(obj)) { + py::list one; + one.append(obj); + ids = wide_integers(one, name); + } else { + ids = wide_integers(obj, name); + } + if (ids.size() == 0) throw py::value_error(std::string(name) + ": the node set is empty"); + for (std::size_t i = 0; i < ids.size(); ++i) { + if (!ids.in(i, 0, static_cast(num_nodes) - 1)) { + throw py::value_error(std::string(name) + ": node " + ids.text(i) + " out of node range [0, " + + std::to_string(num_nodes) + ")"); + } + } + return ids.narrow(); +} + +// A request: an integer number of units in [0, 2^62) or +inf (float('inf')); nullopt is +inf. +std::optional request_units(const py::object& volume) { + if (py::isinstance(volume) || py::isinstance(volume, py::module_::import("numpy").attr("floating"))) { + const double x = volume.cast(); + if (std::isinf(x) && x > 0) return std::nullopt; + throw py::value_error("requests are integer units or +inf (a physical request goes through to_units first; got " + + std::string(py::str(volume)) + ")"); + } + const auto v = integer_value(volume, 0, kDomainLimit - 1, "request (units)"); + return static_cast(v); +} + +py::object counter_int(const Counter128& c) { + py::int_ hi(c.hi); + py::int_ lo(c.lo); + return hi.attr("__lshift__")(py::int_(64)).attr("__or__")(lo); +} + +py::object cost_or_none(Cost c) { return c == kUnreachable ? py::object(py::none()) : py::object(py::int_(c)); } + +py::array_t int64_array(const std::vector& v) { + py::array_t out(static_cast(v.size())); + std::copy(v.begin(), v.end(), out.mutable_data()); + return out; +} + +const char* termination_name(detail::Termination t) { + switch (t) { + case detail::Termination::Complete: return "complete"; + case detail::Termination::LimitFlows: return "limit_flows"; + case detail::Termination::LimitDiminishing: return "limit_diminishing"; + case detail::Termination::NoRoute: return "no_route"; + case detail::Termination::Exhausted: return "exhausted"; + } + return "?"; +} + +FlowId flow_id_of(const py::object& obj) { + if (!py::isinstance(obj) || py::len(obj) != 2) { + throw py::value_error("a FlowId is a tuple (ledger uid, id)"); + } + auto t = py::reinterpret_borrow(obj); + py::object uid = python_int(t[0], "FlowId ledger uid"); + py::object id = python_int(t[1], "FlowId id"); + int o1 = 0, o2 = 0; + const unsigned long long u = PyLong_AsUnsignedLongLong(uid.ptr()); + if (PyErr_Occurred()) { + PyErr_Clear(); + o1 = 1; + } + const long long i = PyLong_AsLongLongAndOverflow(id.ptr(), &o2); + if (o1 != 0 || o2 != 0 || i < 0) { + throw py::value_error("FlowId (" + std::string(py::str(uid)) + ", " + std::string(py::str(id)) + ") is retired or unknown"); + } + return FlowId {static_cast(u), static_cast(i)}; +} + +py::list pairs_list(const std::vector>& v) { + py::list out; + for (const auto& [e, x] : v) out.append(py::make_tuple(e, x)); + return out; +} + py::list int_list(const std::vector& v) { py::list out(v.size()); for (std::size_t i = 0; i < v.size(); ++i) out[i] = py::int_(v[i]); @@ -345,7 +480,63 @@ py::list int_list(const std::vector& v) { } // namespace PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { - m.doc() = "NetGraph-Core: the graph on integer units and the minimum-cost flow core"; + m.doc() = "NetGraph-Core: the graph on integer units, the minimum-cost flow core, the ledger and the kernels"; + + py::enum_(m, "FlowPlacement", + "The kernel of one flow: MAX_FLOW (the minimum-cost flow core on the flow's split graph,\n" + "a replacement on V = W + own), WEIGHTED (hop-by-hop WCMP: highest averages over frozen\n" + "weights at every node), EQUAL_BALANCED (ECMP: round robin at every node).") + .value("MAX_FLOW", FlowPlacement::MaxFlow) + .value("WEIGHTED", FlowPlacement::Weighted) + .value("EQUAL_BALANCED", FlowPlacement::EqualBalanced); + + py::enum_(m, "Admission", + "LOSSLESS admits only what fits; LOSSY forwards hop by hop without admission control and\n" + "drops what does not fit on each edge (EQUAL_BALANCED and WEIGHTED only).") + .value("LOSSLESS", Admission::Lossless) + .value("LOSSY", Admission::Lossy); + + py::enum_(m, "EdgeTieBreak", + "Ties between equal-cost candidates (parallel members and equal-cost walks):\n" + "DETERMINISTIC (lowest EdgeId; capacities ignored) or PREFER_HIGHER_PRIORITY (the higher\n" + "priority value first, then the lowest EdgeId).") + .value("DETERMINISTIC", EdgeTieBreak::Deterministic) + .value("PREFER_HIGHER_PRIORITY", EdgeTieBreak::PreferHigherPriority); + + py::enum_(m, "EdgePriority", + "The per-edge value PREFER_HIGHER_PRIORITY reads, and the Weighted kernel's membership and\n" + "weights: RESIDUAL (residual units), CAPACITY (static capacity units), HEADROOM (the exact\n" + "rational residual / capacity; rejected with WEIGHTED).") + .value("RESIDUAL", EdgePriority::Residual) + .value("CAPACITY", EdgePriority::Capacity) + .value("HEADROOM", EdgePriority::Headroom); + + py::class_(m, "PathSelection", + "The selection of a search: tie_break and priority are explicit; multipath = True keeps\n" + "every equal-cost walk (the DAG), False the one canonical single path; multi_edge = True\n" + "keeps every eligible parallel member, False one per (u, v) pair.") + .def(py::init(), py::arg("tie_break"), py::arg("priority"), + py::arg("multipath") = true, py::arg("multi_edge") = true) + .def_readonly("tie_break", &PathSelection::tie_break) + .def_readonly("priority", &PathSelection::priority) + .def_readonly("multipath", &PathSelection::multipath) + .def_readonly("multi_edge", &PathSelection::multi_edge) + .def("__eq__", [](const PathSelection& a, const py::object& b) { + return py::isinstance(b) && a == b.cast(); + }) + .def("__hash__", [](const PathSelection& a) { + return py::hash(py::make_tuple(static_cast(a.tie_break), static_cast(a.priority), a.multipath, + a.multi_edge)); + }) + .def("__repr__", [](const PathSelection& a) { + return std::string("PathSelection(tie_break=") + + (a.tie_break == EdgeTieBreak::Deterministic ? "DETERMINISTIC" : "PREFER_HIGHER_PRIORITY") + + ", priority=" + + (a.priority == EdgePriority::Residual ? "RESIDUAL" + : (a.priority == EdgePriority::Capacity ? "CAPACITY" : "HEADROOM")) + + ", multipath=" + (a.multipath ? "True" : "False") + ", multi_edge=" + (a.multi_edge ? "True" : "False") + + ")"; + }); m.def( "to_units", @@ -406,7 +597,20 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { const auto& el = self.cast(); return readonly_view(el.edge_allowed(), self, py::dtype("bool")); }, - "bool[E] read-only view (not excluded and both endpoints allowed)"); + "bool[E] read-only view (not excluded and both endpoints allowed)") + .def_static( + "intersect", + [](const std::shared_ptr& a, const std::shared_ptr& b) -> std::shared_ptr { + if (!a || !b) throw py::value_error("Eligibility.intersect takes two Eligibility values"); + auto r = Eligibility::intersect(*a, *b); + if (r.uid() == a->uid()) return a; + if (r.uid() == b->uid()) return b; + return std::make_shared(std::move(r)); + }, + py::arg("a"), py::arg("b"), + "The intersection of two values of one graph (ValueError for values of different graphs):\n" + "an operand itself when the result equals it (a first, then b), otherwise a new value with a\n" + "fresh uid; equal intersections built separately get distinct uids."); py::class_>( m, "StrictMultiDiGraph", @@ -603,4 +807,399 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { "cost_distribution: [[cost, units]], edge_flows, min_cut (None while the destinations stay\n" "connected, and on cap 0), potentials (-1 = never reached), counters}. Invalid inputs raise\n" "ValueError before any work."); + + // ------------------------------------------------------------------ route structures + + py::class_>( + m, "PredDAG", + "Immutable, graph-bound predecessor DAG: the entries of node v are parents()[k], via_edges()[k]\n" + "for k in [parent_offsets()[v], parent_offsets()[v + 1]), within a node in strictly ascending\n" + "via EdgeId (one canonical form). Equality is structural. Built by PredDAG.from_csr,\n" + "Path.to_dag() and the searches.") + .def_static( + "from_csr", + [](const std::shared_ptr& graph, const py::object& offsets, const py::object& parents, + const py::object& via) { + if (!graph) throw py::value_error("graph must be a StrictMultiDiGraph"); + // APPROACH 5's order on unnarrowed values; the C++ constructor re-checks it and adds the + // structural checks (endpoints, duplicates, acyclic, ascending). + const auto n = static_cast(graph->num_nodes()); + const auto m = static_cast(graph->num_edges()); + const std::size_t lo = sequence_length(offsets, "offsets"); + const std::size_t lp = sequence_length(parents, "parents"); + const std::size_t lv = sequence_length(via, "via"); + if (lo != n + 1) { + throw py::value_error("PredDAG.from_csr: offsets has length " + std::to_string(lo) + + ", expected N + 1 = " + std::to_string(n + 1)); + } + const auto o = wide_integers(offsets, "offsets"); + if (!o.in(0, 0, 0)) throw py::value_error("PredDAG.from_csr: offsets[0] = " + o.text(0) + ", expected 0"); + for (std::size_t v = 0; v < n; ++v) { + if (wide_less(o, v + 1, v)) { + throw py::value_error("PredDAG.from_csr: offsets are not monotone at " + std::to_string(v + 1) + " (" + + o.text(v) + " > " + o.text(v + 1) + ")"); + } + } + if (!o.in(n, static_cast(lp), static_cast(lp)) || lp != lv) { + throw py::value_error("PredDAG.from_csr: offsets[N] = " + o.text(n) + " but parents has " + + std::to_string(lp) + " and via has " + std::to_string(lv) + " entries"); + } + const auto p = wide_integers(parents, "parents"); + const auto w = wide_integers(via, "via"); + for (std::size_t k = 0; k < lp; ++k) { + if (!p.in(k, 0, static_cast(n) - 1)) { + throw py::value_error("PredDAG.from_csr: parents[" + std::to_string(k) + "] = " + p.text(k) + + " out of node range [0, " + std::to_string(n) + ")"); + } + if (!w.in(k, 0, m - 1)) { + throw py::value_error("PredDAG.from_csr: via[" + std::to_string(k) + "] = " + w.text(k) + + " out of edge range [0, " + std::to_string(m) + ")"); + } + } + const auto ov = o.narrow(); + const auto pv = p.narrow(); + const auto wv = w.narrow(); + return std::make_shared(PredDAG::from_csr(*graph, ov, pv, wv)); + }, + py::arg("graph"), py::arg("offsets"), py::arg("parents"), py::arg("via"), + "Validates, in order, before any traversal (ValueError on the first defect): offsets of\n" + "length N + 1, offsets[0] == 0, monotone, offsets[N] == len(parents) == len(via); then every\n" + "parent and via in range, every via joining (parent, child), no duplicate (child, via),\n" + "acyclic; within a node the entries in ascending via EdgeId.") + .def("graph_uid", &PredDAG::graph_uid, "uid of the graph this DAG belongs to") + .def( + "parent_offsets", + [](const py::object& self) { return readonly_view(self.cast().parent_offsets(), self); }, + "int32[N + 1] CSR offsets (read-only view)") + .def( + "parents", [](const py::object& self) { return readonly_view(self.cast().parents(), self); }, + "int32 parent NodeId per entry (read-only view)") + .def( + "via_edges", + [](const py::object& self) { return readonly_view(self.cast().via_edges(), self); }, + "int32 via EdgeId per entry (read-only view)") + .def("__eq__", [](const PredDAG& a, const py::object& b) { + return py::isinstance(b) && a == b.cast(); + }) + .def("__hash__", [](const PredDAG& a) { + return py::hash(py::make_tuple(a.graph_uid(), py::tuple(py::cast(std::vector(a.via_edges().begin(), + a.via_edges().end()))))); + }) + .def("__repr__", [](const PredDAG& a) { + return "PredDAG(graph_uid=" + std::to_string(a.graph_uid()) + ", entries=" + + std::to_string(a.via_edges().size()) + ")"; + }); + + py::class_>( + m, "Path", + "Immutable, graph-bound explicit walk of hops; a hop lists one or more parallel members of one\n" + "(u, v) pair in the caller's order. cost = sum over hops of the minimum member cost.") + .def(py::init([](const std::shared_ptr& graph, const py::object& hops) { + if (!graph) throw py::value_error("graph must be a StrictMultiDiGraph"); + if (not_a_sequence(hops)) throw py::value_error("Path: hops must be a sequence of hops (sequences of EdgeIds)"); + auto seq = py::reinterpret_borrow(hops); + std::vector raw; + for (std::size_t h = 0; h < seq.size(); ++h) { + py::object hop = seq[h]; + raw.push_back(wide_integers(hop, ("hops[" + std::to_string(h) + "]").c_str())); + } + // Every member in range before anything else (APPROACH 5), then C++'s order. + const auto m = static_cast(graph->num_edges()); + for (std::size_t h = 0; h < raw.size(); ++h) { + for (std::size_t i = 0; i < raw[h].size(); ++i) { + if (!raw[h].in(i, 0, m - 1)) { + throw py::value_error("Path: hop " + std::to_string(h) + " member " + raw[h].text(i) + + " out of edge range [0, " + std::to_string(m) + ")"); + } + } + } + std::vector> narrowed; + narrowed.reserve(raw.size()); + for (const auto& r : raw) narrowed.push_back(r.narrow()); + return std::make_shared(*graph, std::move(narrowed)); + }), + py::arg("graph"), py::arg("hops"), + "Validates, in order (ValueError on the first defect): every member id in range, no duplicate\n" + "member, a non-empty hop list, every hop non-empty, the members of a hop sharing (u, v),\n" + "contiguous hops, no repeated node.") + .def("graph_uid", &Path::graph_uid, "uid of the graph this path belongs to") + .def("hops", [](const Path& p) { return p.hops(); }, "the hops as lists of EdgeIds (the caller's member order)") + .def("src", &Path::src) + .def("dst", &Path::dst) + .def("nodes", [](const Path& p) { return p.nodes(); }, "the visited nodes, src first") + .def("cost", &Path::cost, "sum over hops of the minimum member cost") + .def( + "to_dag", [](const Path& p) { return std::make_shared(p.to_dag()); }, + "the equivalent PredDAG (every member of every hop)") + .def("__eq__", [](const Path& a, const py::object& b) { + return py::isinstance(b) && a == b.cast(); + }) + .def("__hash__", + [](const Path& a) { + py::list hops; + for (const auto& hop : a.hops()) hops.append(py::tuple(py::cast(hop))); + return py::hash(py::make_tuple(a.graph_uid(), py::tuple(hops))); + }) + .def("__repr__", [](const Path& a) { + return "Path(src=" + std::to_string(a.src()) + ", dst=" + std::to_string(a.dst()) + + ", hops=" + std::to_string(a.hops().size()) + ", cost=" + std::to_string(a.cost()) + ")"; + }); + + // ------------------------------------------------------------------ the ledger + + py::class_( + m, "FlowRecord", + "One flow of a ledger, as a snapshot: flow_id (ledger uid, id), owner (the policy's id),\n" + "sources, destinations, placement, admission, bundle (PredDAG: the flow's route),\n" + "route_cost (its minimum walk cost; None when empty), offered (Lossy only, else None),\n" + "delivered, edges [(EdgeId, units)] and drops [(EdgeId, units)] (cumulative, ascending\n" + "EdgeId). Counters are exact Python ints (they may exceed 64 bits).") + .def_property_readonly("flow_id", [](const FlowRecord& r) { return py::make_tuple(r.flow_id.first, r.flow_id.second); }) + .def_readonly("owner", &FlowRecord::owner) + .def_readonly("sources", &FlowRecord::sources) + .def_readonly("destinations", &FlowRecord::destinations) + .def_readonly("placement", &FlowRecord::placement) + .def_readonly("admission", &FlowRecord::admission) + .def_property_readonly("bundle", [](const FlowRecord& r) { return std::const_pointer_cast(r.bundle); }) + .def_property_readonly("route_cost", [](const FlowRecord& r) { return cost_or_none(r.route_cost); }) + .def_property_readonly("offered", [](const FlowRecord& r) -> py::object { + return r.offered.has_value() ? counter_int(*r.offered) : py::object(py::none()); + }) + .def_readonly("delivered", &FlowRecord::delivered) + .def_property_readonly("edges", [](const FlowRecord& r) { return pairs_list(r.edges); }) + .def_property_readonly("drops", [](const FlowRecord& r) { + py::list out; + for (const auto& [e, x] : r.drops) out.append(py::make_tuple(e, counter_int(x))); + return out; + }) + .def("__repr__", [](const FlowRecord& r) { + return "FlowRecord(flow_id=(" + std::to_string(r.flow_id.first) + ", " + std::to_string(r.flow_id.second) + + "), owner=" + std::to_string(r.owner) + ", delivered=" + std::to_string(r.delivered) + ")"; + }); + + py::class_>( + m, "FlowGraph", + "The integer ledger of one graph: an immutable baseline residual in units and the records of\n" + "the flows placed on it by policies (the ledger has no public placement or removal).\n" + "allocated() is the sum of every record's edges and residual() = baseline - allocated(), both\n" + "int64[E] snapshots. reset() and copy() are rejected while a policy is bound.") + .def(py::init([](const std::shared_ptr& graph, const py::object& residual) { + if (!graph) throw py::value_error("graph must be a StrictMultiDiGraph"); + if (residual.is_none()) return std::make_shared(graph); + const auto r = edge_units(residual, *graph, "residual"); + return std::make_shared(graph, r); + }), + py::arg("graph"), py::arg("residual") = py::none(), + "residual: the baseline as integer units, one entry per edge in [0, capacity_units[e]] (a\n" + "physical baseline goes through to_units first); None: the capacities. ValueError otherwise.") + .def("uid", &FlowGraph::uid, "process-unique ledger uid (the first half of every FlowId)") + .def( + "graph", [](const FlowGraph& fg) { return std::const_pointer_cast(fg.graph()); }, + "the ledger's graph") + .def( + "capacity_units", + [](const py::object& self) { return readonly_view(self.cast().capacity_units(), self); }, + "int64[E] the graph's capacities in units (read-only view)") + .def( + "residual", [](const FlowGraph& fg) { return int64_array(fg.residual()); }, + "int64[E] snapshot: baseline - allocated") + .def( + "allocated", [](const FlowGraph& fg) { return int64_array(fg.allocated()); }, + "int64[E] snapshot: the sum of every record's edges") + .def("records", &FlowGraph::records, "live records (bound and orphaned) as snapshots in FlowId order") + .def( + "record", [](const FlowGraph& fg, const py::object& flow_id) { return fg.record(flow_id_of(flow_id)); }, + py::arg("flow_id"), + "one record by FlowId (ValueError for a FlowId of another ledger, a retired or an unknown id)") + .def( + "bottleneck", + [](const FlowGraph& fg, const py::object& sources, const std::shared_ptr& elig) { + const auto s = node_ids(sources, fg.graph()->num_nodes(), "sources"); + return fg.bottleneck(s, elig.get()); + }, + py::arg("sources"), py::arg("elig") = nullptr, + "Saturation diagnostic: the edges (statically eligible, capacity >= 1 unit) leaving the set\n" + "reachable from the allowed sources over eligible forward arcs with residual >= 1 unit, in\n" + "ascending EdgeId (not a cut).") + .def( + "reset", + [](FlowGraph& fg, const py::object& residual) { + if (residual.is_none()) { + fg.reset(); + return; + } + const auto r = edge_units(residual, *fg.graph(), "residual"); + fg.reset(r); + }, + py::arg("residual") = py::none(), + "A new baseline (None: the capacities); orphaned records and their allocations are cleared\n" + "and their ids retired (ids are never reused). ValueError while a policy is bound.") + .def( + "copy", [](const FlowGraph& fg) { return std::make_shared(fg); }, + "a new ledger (new uid) with the same baseline and records, ids kept under the new uid;\n" + "ValueError while a policy is bound") + .def("__copy__", [](const FlowGraph& fg) { return std::make_shared(fg); }) + .def("__deepcopy__", [](const FlowGraph& fg, const py::object&) { return std::make_shared(fg); }, + py::arg("memo")) + .def( + "_state", + [](const FlowGraph& fg) { + py::dict out; + out["next_flow_id"] = detail::LedgerAccess::next_flow_id(fg); + out["bound"] = detail::LedgerAccess::bound_owners(fg); + out["orphans"] = detail::LedgerAccess::orphan_owners(fg); + return out; + }, + "private diagnostics: {next_flow_id, bound, orphans} (owner ids)"); + + // ------------------------------------------------------------------ private 1b recorder entries + + py::class_( + m, "_PinnedFlow", + "Private (sub-PR 1b): a Pinned placement with one bundle, the single-flow transaction of the\n" + "1b recorder population (APPROACH 8: a manual flow is a Pinned policy with one bundle). Sub-PR\n" + "1c's FlowPolicy with Pinned routing replaces it.") + .def(py::init([](FlowGraph& fg, const py::object& src, const py::object& dst, const std::shared_ptr& bundle, + FlowPlacement placement, Admission admission, EdgePriority priority, + const std::shared_ptr& elig) { + const auto n = fg.graph()->num_nodes(); + const auto s = integer_value(src, 0, static_cast(n) - 1, "src"); + const auto d = integer_value(dst, 0, static_cast(n) - 1, "dst"); + if (!bundle) throw py::value_error("bundle must be a PredDAG"); + return std::make_unique(fg, static_cast(s), static_cast(d), bundle, + placement, admission, priority, elig); + }), + py::keep_alive<1, 2>(), py::arg("flow_graph"), py::arg("src"), py::arg("dst"), py::arg("bundle"), + py::arg("placement"), py::arg("admission"), py::arg("priority"), py::arg("elig") = nullptr) + .def( + "place", + [](detail::PinnedFlow& pf, const py::object& volume) { + const auto v = request_units(volume); + // The GIL stays held: the call mutates the ledger, which other Python threads may + // read (one writer per ledger, APPROACH 13). + const detail::PinnedResult r = pf.place(v); + py::dict out; + out["placed"] = py::int_(r.placed); + out["remaining"] = r.remaining.has_value() ? py::object(py::int_(*r.remaining)) + : py::object(py::float_(std::numeric_limits::infinity())); + out["termination"] = termination_name(r.termination); + out["routes_changed"] = r.routes_changed; + out["weights_changed"] = r.weights_changed; + out["drops"] = pairs_list(r.drops); + out["iterations"] = r.iterations; + return out; + }, + py::arg("volume"), + "place(volume: int units or float('inf')) -> {placed, remaining, termination, routes_changed,\n" + "weights_changed, drops, iterations (diagnostic: bisection steps of the T_max search)}") + .def("remove", &detail::PinnedFlow::remove) + .def("release", &detail::PinnedFlow::release, "destroy without remove(): the record stays as an orphan") + .def("flow_id", + [](const detail::PinnedFlow& pf) -> py::object { + const auto id = pf.flow_id(); + return id.has_value() ? py::object(py::make_tuple(id->first, id->second)) : py::object(py::none()); + }) + .def("owner", &detail::PinnedFlow::owner) + .def("requested", [](const detail::PinnedFlow& pf) { return counter_int(pf.requested()); }, + "the epoch's cumulative finite request (units)") + .def("infinite", &detail::PinnedFlow::infinite, "whether +inf was requested in this epoch") + .def("placed_demand", &detail::PinnedFlow::placed_demand) + .def("usable_bundles", &detail::PinnedFlow::usable_bundles) + .def("plan", [](const detail::PinnedFlow& pf) -> py::object { + const auto* plan = pf.plan(); + if (plan == nullptr) return py::none(); + py::dict out; + out["placement"] = plan->placement; + out["admission"] = plan->admission; + out["route"] = plan->route; + out["members"] = plan->members; + out["weights"] = plan->placement == FlowPlacement::Weighted ? py::object(py::cast(plan->weights)) + : py::object(py::none()); + return out; + }); + + m.def( + "_spf", + [](const std::shared_ptr& graph, const py::object& roots, const std::string& direction, + const py::object& targets, const PathSelection& selection, const py::object& residual, + const py::object& min_residual, const std::shared_ptr& elig) { + if (!graph) throw py::value_error("graph must be a StrictMultiDiGraph"); + if (direction != "forward" && direction != "reverse") { + throw py::value_error("direction must be 'forward' or 'reverse'"); + } + const auto r = node_ids(roots, graph->num_nodes(), "roots"); + std::optional> t; + if (!targets.is_none()) t = node_ids(targets, graph->num_nodes(), "targets"); + // Section 6's order: the endpoint checks (overlap, a single path without targets) come + // before the residual is read (review-1b R15); detail::spf repeats them. + if (t.has_value()) { + detail::check_disjoint(detail::node_set(r, graph->num_nodes(), "roots"), + detail::node_set(*t, graph->num_nodes(), "targets")); + } else if (!selection.multipath) { + throw py::value_error("multipath = false requires targets (the single path joins a root to a target)"); + } + std::optional> res; + if (!residual.is_none()) res = edge_units(residual, *graph, "residual"); + const auto minr = integer_value(min_residual, 1, kDomainLimit - 1, "min_residual"); + detail::SpfOut o; + { + py::gil_scoped_release release; + std::optional> ts; + if (t.has_value()) ts = std::span(*t); + std::optional> rs; + if (res.has_value()) rs = std::span(*res); + o = detail::spf(*graph, r, direction == "forward" ? detail::Direction::Forward : detail::Direction::Reverse, ts, + selection, rs, minr, elig.get()); + } + py::dict out; + if (o.costs.has_value()) { + py::list costs; + for (Cost c : *o.costs) costs.append(cost_or_none(c)); + out["costs"] = costs; + } + out["dag"] = std::make_shared(detail::PredDAGBuilder::from_edges(*graph, o.edges)); + if (t.has_value()) { + out["target_cost"] = o.target_cost.has_value() ? py::object(py::int_(*o.target_cost)) : py::object(py::none()); + } + if (o.path.has_value()) out["path"] = o.path->walk; + return out; + }, + py::arg("graph"), py::arg("roots"), py::arg("direction"), py::arg("targets"), py::arg("selection"), + py::arg("residual") = py::none(), py::arg("min_residual") = 1, py::arg("elig") = nullptr, + "Private (sub-PR 1b; public spf in 1d): the search of APPROACH 6. Returns {costs (full search),\n" + "dag, target_cost (with targets; None when unreachable), path (the single path's walk)}."); + + m.def( + "_round_robin", + [](const py::object& total, const py::object& k) { + const auto t = integer_value(total, 0, kDomainLimit - 1, "total"); + const auto n = integer_value(k, 1, 1 << 20, "k"); + std::vector out(static_cast(n)); + detail::round_robin(t, out); + return out; + }, + py::arg("total"), py::arg("k"), "Private: round robin of total units over k members (APPROACH 2.1)."); + + m.def( + "_highest_averages", + [](const py::object& total, const py::object& weights) { + const auto t = integer_value(total, 0, kDomainLimit - 1, "total"); + const auto w = wide_integers(weights, "weights"); + if (w.size() == 0) throw py::value_error("highest averages over no member"); + std::uint64_t sum = 0; + for (std::size_t i = 0; i < w.size(); ++i) { + if (!w.in(i, 1, kDomainLimit - 1)) { + throw py::value_error("weights[" + std::to_string(i) + "] = " + w.text(i) + " is outside [1, 2^62)"); + } + sum += static_cast(w.value[i]); + if (sum >= static_cast(kDomainLimit)) throw py::value_error("the weights sum to 2^62 or more"); + } + const auto wv = w.narrow(); + std::vector out(wv.size()); + detail::highest_averages(t, wv, out); + return out; + }, + py::arg("total"), py::arg("weights"), + "Private: highest-averages (D'Hondt) apportionment of total units over positive weights, ties by\n" + "the lower index (APPROACH 2.1)."); } diff --git a/include/netgraph/core/detail/flow_core.hpp b/include/netgraph/core/detail/flow_core.hpp new file mode 100644 index 0000000..586c794 --- /dev/null +++ b/include/netgraph/core/detail/flow_core.hpp @@ -0,0 +1,32 @@ +/* The flow core restricted to an edge subset (internal; APPROACH 2.2 and 7). */ +#pragma once + +#include +#include +#include +#include + +#include "netgraph/core/strict_multidigraph.hpp" +#include "netgraph/core/types.hpp" + +namespace netgraph::core::detail { + +struct SubsetFlow { + Amount placed {0}; + std::vector flows {}; // aligned with the input edges + std::vector> cost_distribution {}; +}; + +// The minimum-cost flow of the maximum value under `cap` (nullopt: uncapped) from `sources` to +// `destinations` over the edges `edges` (ascending EdgeId, distinct) with capacities `caps` +// (aligned with `edges`, each in [0, 2^62)). The one flow core of APPROACH 2.2 with the same +// arc order (ascending EdgeId at every node, the virtual arc first, virtual arcs by ascending +// endpoint NodeId), from zero flow; the vertices are compressed to the ones the edges and +// endpoints touch, which changes no flow, curve or augmenting path. The endpoint sets are +// ascending, distinct and disjoint; the caller validated every input (the MaxFlow kernel's +// replacement solve on V_i = W + own_i over the flow's split graph). +[[nodiscard]] SubsetFlow solve_subset(const StrictMultiDiGraph& g, std::span edges, + std::span caps, std::span sources, + std::span destinations, std::optional cap); + +} // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/int128.hpp b/include/netgraph/core/detail/int128.hpp new file mode 100644 index 0000000..32cb664 --- /dev/null +++ b/include/netgraph/core/detail/int128.hpp @@ -0,0 +1,67 @@ +/* Portable unsigned 128-bit products and comparisons for exact rational arithmetic (internal). + + Used by the highest-averages apportionment (quotients w / d compared by cross products, lower + quotas floor(I * w / W)) and by the Headroom priority (residual / capacity compared by cross + products). Every operand is below 2^63, so every product is below 2^126 and every quotient + that is formed fits 64 bits. Compilers with __int128 use it; others use 32-bit limbs. +*/ +#pragma once + +#include + +namespace netgraph::core::detail { + +struct U128 { + std::uint64_t hi {0}; + std::uint64_t lo {0}; +}; + +inline bool operator==(U128 a, U128 b) noexcept { return a.hi == b.hi && a.lo == b.lo; } +inline bool operator<(U128 a, U128 b) noexcept { return a.hi != b.hi ? a.hi < b.hi : a.lo < b.lo; } +inline bool operator>(U128 a, U128 b) noexcept { return b < a; } + +#if defined(__SIZEOF_INT128__) + +inline U128 mul_u64(std::uint64_t a, std::uint64_t b) noexcept { + const unsigned __int128 p = static_cast(a) * b; + return {static_cast(p >> 64), static_cast(p)}; +} + +// floor(n / d) for d > 0 and a quotient below 2^64 (n.hi < d). +inline std::uint64_t div_u128(U128 n, std::uint64_t d) noexcept { + const unsigned __int128 x = (static_cast(n.hi) << 64) | n.lo; + return static_cast(x / d); +} + +#else + +inline U128 mul_u64(std::uint64_t a, std::uint64_t b) noexcept { + const std::uint64_t a0 = a & 0xffffffffULL, a1 = a >> 32; + const std::uint64_t b0 = b & 0xffffffffULL, b1 = b >> 32; + const std::uint64_t p00 = a0 * b0, p01 = a0 * b1, p10 = a1 * b0, p11 = a1 * b1; + const std::uint64_t mid = (p00 >> 32) + (p01 & 0xffffffffULL) + (p10 & 0xffffffffULL); + U128 r; + r.lo = (mid << 32) | (p00 & 0xffffffffULL); + r.hi = p11 + (p01 >> 32) + (p10 >> 32) + (mid >> 32); + return r; +} + +// floor(n / d) for d > 0 and a quotient below 2^64 (n.hi < d): restoring division, one +// quotient bit per step. +inline std::uint64_t div_u128(U128 n, std::uint64_t d) noexcept { + std::uint64_t rem = n.hi; + std::uint64_t q = 0; + for (int i = 63; i >= 0; --i) { + const bool carry = (rem >> 63) != 0; + rem = (rem << 1) | ((n.lo >> i) & 1U); + if (carry || rem >= d) { + rem -= d; + q |= std::uint64_t{1} << i; + } + } + return q; +} + +#endif + +} // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/kernels.hpp b/include/netgraph/core/detail/kernels.hpp new file mode 100644 index 0000000..bbbed3f --- /dev/null +++ b/include/netgraph/core/detail/kernels.hpp @@ -0,0 +1,153 @@ +/* Apportionment and the placement kernels in units (internal; APPROACH 2.1, 7 and 16). + + A kernel computes the pushes of one flow on its route. The plan of a flow is frozen at its + creation: the route, its split graph (the route's edges that pass the kernel's membership + rule, pruned to the walks from the source to the destination set, destinations terminal) + and, for Weighted, the weights. These are the per-flow routines of the placement transaction + (APPROACH 9.2 stage 3); the policies of sub-PR 1c compose them, the ledger commits their + output. +*/ +#pragma once + +#include +#include +#include +#include + +#include "netgraph/core/flow.hpp" +#include "netgraph/core/options.hpp" +#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/strict_multidigraph.hpp" +#include "netgraph/core/types.hpp" + +namespace netgraph::core::detail { + +// ---------------------------------------------------------------- apportionment (2.1) + +// Round robin (EqualBalanced and Lossy EqualBalanced): floor(total / k) to each of the k = +// out.size() members, one more unit to the first total mod k members (ascending EdgeId). +void round_robin(Amount total, std::span out) noexcept; + +// Highest averages (Jefferson, D'Hondt; Weighted and Lossy Weighted): the units go one at a +// time to the member maximising w / (a + 1), ties by the lower member index (ascending +// EdgeId). Closed form: every member starts at its lower quota floor(total * w / W), then the +// fewer than k remaining units go by the exact next quotients, compared by 128-bit cross +// products. Weights positive with a sum below 2^62; total below 2^63. House-monotone. +void highest_averages(Amount total, std::span weights, std::span out); + +// ---------------------------------------------------------------- plans + +// Throws std::invalid_argument for the combinations the contract rejects (Lossy with MaxFlow, +// Weighted with priority Headroom). +void check_kernel(FlowPlacement placement, Admission admission, EdgePriority priority); + +struct KernelPlan { + FlowPlacement placement {FlowPlacement::MaxFlow}; + Admission admission {Admission::Lossless}; + EdgePriority priority {EdgePriority::Residual}; + NodeId src {0}; + std::vector dsts {}; // ascending + std::vector route {}; // ascending: the flow's route (its record's bundle) + std::vector members {}; // ascending: the split graph + std::vector weights {}; // Weighted: per member (positive), frozen; else empty + // The split graph's nodes in a topological order (the source first), with per position its + // out-members members[out_begin[p] .. out_end[p]) (consecutive in ascending EdgeId: B' ids + // rank edges by source first) and per member the position of its head. Empty when the split + // graph is empty. + std::vector topo {}; + std::vector out_begin {}; + std::vector out_end {}; + std::vector head_pos {}; + std::vector terminal {}; + std::int32_t src_out_begin {0}; + std::int32_t src_out_end {0}; +}; + +// The edges of `edges` that lie on some walk from `src` to the destination set (edges leaving +// a destination removed: destinations are terminal), ascending. +[[nodiscard]] std::vector prune(const StrictMultiDiGraph& g, std::span edges, NodeId src, + std::span dsts); + +// The plan of a new flow on `route` (ascending, acyclic; the edges of the flow's DAG or +// bundle), its membership captured on `creation_view` (route-aligned: one entry per route +// edge, the view of the search that created the route; read only by a Weighted Residual +// membership, may be empty otherwise): MaxFlow every route edge (its view decides), Weighted by +// `priority` (Residual: creation view >= 1 unit; Capacity: static capacity >= 1 unit) with the +// weights read from the same values, EqualBalanced static capacity >= 1 unit; Lossy keeps its +// kernel's membership. The members are then pruned to the walks from src to the destination +// set (none leaving a destination) and given their topological structure, in one pass. `dsts` +// ascending and disjoint from src. +[[nodiscard]] KernelPlan make_plan(const StrictMultiDiGraph& g, FlowPlacement placement, Admission admission, + EdgePriority priority, NodeId src, std::span dsts, + std::span route, std::span creation_view); + +// The usable route of a bundle as a plan: of the bundle's edges the ones with static capacity +// >= 1 unit that `elig` allows (every one when null), pruned to the walks from src to the +// destination set; route == members, with the topological structure (built on the bundle's +// own predecessor lists). It is +// the plan of every kernel whose membership is static (MaxFlow, EqualBalanced, Weighted with +// Capacity: weights the capacities); a Weighted Residual plan is made from its route at +// creation (make_plan). +// With `cost`, the route's minimum walk cost from src to the destination set is computed in +// the same pass (route_cost of the plan; kUnreachable when the route is empty). +[[nodiscard]] KernelPlan make_route_plan(const StrictMultiDiGraph& g, FlowPlacement placement, Admission admission, + EdgePriority priority, NodeId src, std::span dsts, + const PredDAG& bundle, const Eligibility* elig, Cost* cost = nullptr); + +// The minimum walk cost from the source to the destination set over the route (the +// record's bundle); kUnreachable when the route has no such walk. +[[nodiscard]] Cost route_cost(const StrictMultiDiGraph& g, const KernelPlan& plan); + +// ---------------------------------------------------------------- allocation (16.2, 16.3) + +// The cumulative allocation alloc(T) of a Weighted or EqualBalanced plan, member-aligned: +// node by node in topological order, the source's inflow T, every other node's inflow the sum +// of its in-member allocations, split by round robin or highest averages. With `limit` +// (member-aligned) it stops at the first member above its limit and returns false. +bool allocate(const KernelPlan& plan, Amount total, std::span out, std::span limit = {}); + +// The largest T whose allocation fits `view_m` (member-aligned) member by member, by search on +// alloc(T) (exact: alloc is non-decreasing member by member, so fits(T) is monotone); upper +// bound the source members' view. APPROACH 7 (revision 26): approximate arithmetic only +// chooses probes. The first probe is at a floating-point estimate, then a galloping bracket, +// then bisection; every predicate, both bracket ends, the value and the allocation are exact, +// and `iterations` counts the probes, which stay within 62 (the bound of a plain bisection over +// units below 2^62; checked, std::logic_error otherwise). A first evaluation at the upper bound +// (or a Lossless step's target) is another allocation evaluation, not a search probe. +struct TMax { + Amount value {0}; + std::int32_t iterations {0}; +}; +[[nodiscard]] TMax t_max(const KernelPlan& plan, std::span view_m); + +// One Lossless step of one flow (APPROACH 9.2 stage 3, 16.3): T_new = max(T, min(T + request, +// T_max(V))) on the replacement view V = W + own (member-aligned `view_m`), with `own_m` the +// flow's committed allocation alloc(T) (member-aligned). MaxFlow solves the flow core on the +// split graph with cap T + request (uncapped for +inf); Weighted and EqualBalanced probe +// T + request first and search T_max (as t_max does) only when it does not fit: the result is +// the same T_new. `request` nullopt is +// +inf. `alloc` is the new member-aligned allocation (own_m itself when T is unchanged on a +// Weighted or EqualBalanced plan). +struct LosslessStep { + Amount total {0}; + std::vector alloc {}; + std::int32_t iterations {0}; // probes of this step's T_max search (at most 62) +}; +[[nodiscard]] LosslessStep lossless_step(const StrictMultiDiGraph& g, const KernelPlan& plan, Amount total, + std::span view_m, std::span own_m, + std::optional request); + +// One Lossy offer on the working residual (member-aligned `w_m`): split at every node by the +// kernel's rule, each member carrying min(share, residual) and dropping the rest; `offer` +// nullopt is +inf (every source member injected to its residual). `offered` is the offer, or +// the injection for +inf; a source without members injects nothing. +struct LossyStep { + Amount offered {0}; + Amount injected {0}; + Amount delivered {0}; + std::vector carried {}; // member-aligned + std::vector drops {}; // member-aligned +}; +[[nodiscard]] LossyStep lossy_step(const KernelPlan& plan, std::optional offer, std::span w_m); + +} // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/ledger_access.hpp b/include/netgraph/core/detail/ledger_access.hpp new file mode 100644 index 0000000..aa174ca --- /dev/null +++ b/include/netgraph/core/detail/ledger_access.hpp @@ -0,0 +1,65 @@ +/* The ledger's internal entry points: what a policy uses to place on and remove from it. + + APPROACH 8: the ledger is mutated only through policies. A policy binds (an owner id), then + every call ends with one atomic exchange of all of its records (`commit`); remove() reverts + its allocations and retires its ids (`detach`); a policy destroyed without remove() leaves + its records as orphans (`release`). None of this is public API. +*/ +#pragma once + +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/flow.hpp" +#include "netgraph/core/flow_graph.hpp" + +namespace netgraph::core::detail { + +// A record proposed by a policy for the commit: `id` nullopt is a new flow (its id is assigned +// at the commit, in draft order). `edges` and `drops` ascending EdgeId; zero entries dropped. +struct Draft { + std::optional id {}; + std::vector sources {}; + std::vector destinations {}; + FlowPlacement placement {FlowPlacement::MaxFlow}; + Admission admission {Admission::Lossless}; + std::shared_ptr bundle {}; + Cost route_cost {kUnreachable}; + std::optional offered {}; + Amount delivered {0}; + std::vector> edges {}; + std::vector> drops {}; +}; + +struct LedgerAccess { + // A new owner id (0, 1, ... per ledger). Throws on a moved-from ledger. + [[nodiscard]] static std::int64_t bind(FlowGraph& fg); + // The owner's policy is destroyed without remove(): its records stay as orphans. + static void release(FlowGraph& fg, std::int64_t owner) noexcept; + // remove(): the owner's records are deleted (allocations reverted), their ids retired. + // Throws only before any change (a moved-from ledger, an unbound owner). + static std::vector detach(FlowGraph& fg, std::int64_t owner); + // One atomic exchange: `drafts` must carry every live record of the owner (by id) plus the + // new ones; the new aggregate must stay within [0, baseline] on every edge. Throws (and + // changes nothing) otherwise, an allocation failure included: every allocation happens + // before a publication step that cannot throw. Returns the FlowIds of the new records in + // draft order. The drafts' vectors are moved from. + static std::vector commit(FlowGraph& fg, std::int64_t owner, std::span drafts); + // A live record by id (throws std::invalid_argument for an unknown or retired id). + [[nodiscard]] static const FlowRecord& live(const FlowGraph& fg, std::int64_t id); + // The working residual baseline - allocated into `out` (resized to E). + static void residual_into(const FlowGraph& fg, std::vector& out); + [[nodiscard]] static std::span baseline(const FlowGraph& fg); + // The aggregate allocation (borrowed; valid until the next commit, detach or reset). + [[nodiscard]] static std::span allocated(const FlowGraph& fg); + // Diagnostics (tests, the private recorder binding). + [[nodiscard]] static std::int64_t next_flow_id(const FlowGraph& fg); + [[nodiscard]] static std::vector bound_owners(const FlowGraph& fg); + [[nodiscard]] static std::vector orphan_owners(const FlowGraph& fg); +}; + +} // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/node_map.hpp b/include/netgraph/core/detail/node_map.hpp new file mode 100644 index 0000000..5a1d9af --- /dev/null +++ b/include/netgraph/core/detail/node_map.hpp @@ -0,0 +1,63 @@ +/* A reusable NodeId -> local index map for work on a small part of a large graph (internal). */ +#pragma once + +#include +#include +#include +#include + +#include "netgraph/core/types.hpp" + +#if defined(__GNUC__) || defined(__clang__) +#define NETGRAPH_CORE_ALWAYS_INLINE __attribute__((always_inline)) inline +#else +#define NETGRAPH_CORE_ALWAYS_INLINE inline +#endif + +namespace netgraph::core::detail { + +// Local indices 0.. in first-touch order, backed by dense arrays of the graph's node count +// that are reset through the touched entries only, so a call costs O(touched) after the first +// use. One instance per thread (`local()`); not reentrant: a caller holding it must not call +// another routine that uses it. +// +// reset() sizes both arrays for the graph, so add() never allocates: it is a few instructions, +// noexcept and inlined into the callers' per-edge loops. An out-of-line add() (it grew its list +// with push_back) saved and restored callee-saved registers on every call, and in some process +// layouts those stack reloads stalled: the flow core's subset solve then ran about 1.45 times +// slower for a whole process (the bimodal `kernel.proportional.grid` blocks; NOTES +// "Bimodality"). +class NodeMap { +public: + void reset(std::size_t num_nodes) { + for (std::size_t i = 0; i < count_; ++i) slot_[static_cast(nodes_[i])] = -1; + count_ = 0; + // Each array is checked against its own size: a failed growth leaves no array short of a + // size the other one promises. + if (slot_.size() < num_nodes) slot_.resize(num_nodes, -1); + if (nodes_.size() < num_nodes) nodes_.resize(num_nodes); + } + NETGRAPH_CORE_ALWAYS_INLINE std::int32_t add(NodeId v) noexcept { + auto& s = slot_[static_cast(v)]; + if (s < 0) { + s = static_cast(count_); + nodes_[count_++] = v; + } + return s; + } + [[nodiscard]] std::int32_t of(NodeId v) const noexcept { return slot_[static_cast(v)]; } + [[nodiscard]] std::size_t size() const noexcept { return count_; } + [[nodiscard]] std::span nodes() const noexcept { return {nodes_.data(), count_}; } + + static NodeMap& local() { + thread_local NodeMap map; + return map; + } + +private: + std::vector slot_ {}; + std::vector nodes_ {}; + std::size_t count_ {0}; +}; + +} // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/pinned_flow.hpp b/include/netgraph/core/detail/pinned_flow.hpp new file mode 100644 index 0000000..f109145 --- /dev/null +++ b/include/netgraph/core/detail/pinned_flow.hpp @@ -0,0 +1,104 @@ +/* A Pinned placement with one bundle: the single-flow transaction of sub-PR 1b (internal). + + APPROACH 8: a fixed-structure ("manual") placement is a Pinned policy with one bundle. Until + the policy engine of sub-PR 1c exists, this driver runs that transaction (APPROACH 9.2 + restricted to one flow on one bundle) for the tests, the A/B/A kernel rows and the private + recorder entry, composing the per-flow kernel steps with the ledger's internal entry + points; 1c's FlowPolicy with a one-bundle Pinned routing runs the same steps and replaces it. + + * place(0) is a no-op that creates nothing; a positive request creates the flow when the + bundle is usable (a src -> dst walk survives static eligibility and the capacity >= 1 + unit rule), else nothing is created and the call ends no_route; + * MaxFlow (replacement): a fresh flow-core solve on V = W + own over the split graph with + cap T + v (+inf: uncapped); + * Weighted and EqualBalanced (incremental): T_new = max(T, min(T + v, T_max(V))); + * Lossy: the offer split by the kernel's rule on W, per call; + * a finite request after +inf is rejected within an epoch (also 0); remove() reverts the + allocation, retires the id and opens a new epoch; destruction without remove() leaves the + record as an orphan. +*/ +#pragma once + +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/kernels.hpp" +#include "netgraph/core/flow.hpp" +#include "netgraph/core/flow_graph.hpp" +#include "netgraph/core/options.hpp" +#include "netgraph/core/pred_dag.hpp" + +namespace netgraph::core::detail { + +// APPROACH 9.4 local outcomes (the public PlacementResult arrives with the policies in 1c). +enum class Termination { Complete, LimitFlows, LimitDiminishing, NoRoute, Exhausted }; + +struct PinnedResult { + Amount placed {0}; + std::optional remaining {}; // nullopt: +inf + Termination termination {Termination::Complete}; + bool routes_changed {false}; + bool weights_changed {false}; + std::vector> drops {}; // this call's transit drops + std::int32_t iterations {0}; // diagnostic: bisection steps of this call's T_max search +}; + +class PinnedFlow { +public: + // Validates (std::invalid_argument): the kernel combination (Lossy with MaxFlow, Weighted + // with Headroom), the endpoints (in range, distinct), a bundle or Eligibility of another + // graph, a bundle without any src -> dst walk before pruning (malformed). + PinnedFlow(FlowGraph& fg, NodeId src, NodeId dst, std::shared_ptr bundle, FlowPlacement placement, + Admission admission, EdgePriority priority, std::shared_ptr elig = nullptr); + PinnedFlow(const PinnedFlow&) = delete; + PinnedFlow& operator=(const PinnedFlow&) = delete; + ~PinnedFlow(); + + // `volume` nullopt is +inf; a finite request is an integer in [0, 2^62). + PinnedResult place(std::optional volume); + void remove(); + // The policy is destroyed without remove(): the record stays as an orphan; later calls throw. + void release() noexcept; + + [[nodiscard]] std::optional flow_id() const noexcept { return flow_id_; } + [[nodiscard]] Amount placed_demand() const; + [[nodiscard]] int usable_bundles() const noexcept { return route_plan_.route.empty() ? 0 : 1; } + // The live flow's plan, frozen at its creation (null without a flow). + [[nodiscard]] const KernelPlan* plan() const noexcept { return plan_; } + [[nodiscard]] std::int64_t owner() const noexcept { return owner_; } + // The epoch's call state: the cumulative finite request (positive calls that reached the + // ledger) and whether +inf was requested. + [[nodiscard]] const Counter128& requested() const noexcept { return requested_; } + [[nodiscard]] bool infinite() const noexcept { return infinite_; } + +private: + void check_bound() const; + + FlowGraph& fg_; + NodeId src_; + NodeId dst_; + std::shared_ptr bundle_; + FlowPlacement placement_; + Admission admission_; + EdgePriority priority_; + std::shared_ptr elig_; + // The usable route (pruned) as a plan with members == route: the plan of every kernel with a + // static membership. Its cost and its DAG (the record's bundle) do not change either. + KernelPlan route_plan_ {}; + Cost route_cost_ {kUnreachable}; + std::shared_ptr route_dag_ {}; // made at the first creation when pruned + std::int64_t owner_ {0}; + bool bound_ {false}; + // Epoch state. + std::optional flow_id_ {}; + std::optional captured_ {}; // a Weighted Residual plan, captured at creation + const KernelPlan* plan_ {nullptr}; // &route_plan_ or &*captured_ while a flow lives + Amount total_ {0}; + Counter128 requested_ {}; + bool infinite_ {false}; +}; + +} // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/pred_dag_builder.hpp b/include/netgraph/core/detail/pred_dag_builder.hpp new file mode 100644 index 0000000..2b6cafe --- /dev/null +++ b/include/netgraph/core/detail/pred_dag_builder.hpp @@ -0,0 +1,23 @@ +/* Internal construction of PredDAG values (search output, kernel routes, Path::to_dag). */ +#pragma once + +#include +#include +#include + +#include "netgraph/core/pred_dag.hpp" + +namespace netgraph::core::detail { + +struct PredDAGBuilder { + // The DAG of an edge set known to be acyclic and duplicate-free: per node its predecessor + // entries (edge_src, e) in ascending EdgeId. Not validated beyond what the callers guarantee. + [[nodiscard]] static PredDAG from_edges(const StrictMultiDiGraph& g, std::span edges); + // Per child its ascending via members, all with the one parent parent_of[child]. + [[nodiscard]] static PredDAG from_children(std::uint64_t graph_uid, const std::vector>& per_child, + const std::vector& parent_of); + // The DAG's edges in ascending EdgeId, without a copy (kept by the DAG since construction). + [[nodiscard]] static std::span ascending(const PredDAG& dag) noexcept; +}; + +} // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/search.hpp b/include/netgraph/core/detail/search.hpp new file mode 100644 index 0000000..2818890 --- /dev/null +++ b/include/netgraph/core/detail/search.hpp @@ -0,0 +1,115 @@ +/* The search semantics of APPROACH 6 as internal routines (the public spf and KSP are 1d). + + Positive costs make the shortest-path DAG from a root set unique (2.4): the tight edges + d(u) + cost(e) = d(v) of the member graph. With targets the DAG is pruned to the walks that + end in a nearest target (anycast), the same edge set for a forward search from the roots + and a reverse search rooted at the targets. The single path is the staged canonical walk: + (1) the tight DAG of the query, (2) under PreferHigherPriority the best attainable + bottleneck B* (a max-min DP on the DAG, capped by a Yen prefix's bottleneck) and the DAG + restricted to priority >= B*, (3) one reverse hop count h from the targets and a greedy + walk taking the smallest tight edge whose head has h(v) = h(u) - 1. +*/ +#pragma once + +#include +#include +#include +#include + +#include "netgraph/core/options.hpp" +#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/strict_multidigraph.hpp" +#include "netgraph/core/types.hpp" + +namespace netgraph::core::detail { + +enum class Direction { Forward, Reverse }; + +// An exact priority value: num / den with den >= 1 (den == 1 for Residual and Capacity, the +// capacity for Headroom); `infinite` above every finite value (the bottleneck of an empty walk). +struct Priority { + Amount num {0}; + Amount den {1}; + bool infinite {false}; +}; +[[nodiscard]] int compare(const Priority& a, const Priority& b) noexcept; // -1, 0, 1 + +// The per-edge priority values a search reads: `residual` empty (no residual) reads the static +// capacity for every priority; else Residual = residual units, Capacity = capacity units, +// Headroom = residual / capacity. +struct PriorityValues { + const StrictMultiDiGraph* g {nullptr}; + EdgePriority priority {EdgePriority::Capacity}; + std::span residual {}; + [[nodiscard]] Priority of(EdgeId e) const noexcept; +}; + +// The member graph (flags per edge): statically eligible, capacity >= 1 unit, residual >= +// min_residual when a residual is given; with multi_edge = false one member per (u, v): the +// minimum cost, then under PreferHigherPriority the highest priority value, then the lowest +// EdgeId (select_adjacency). +[[nodiscard]] std::vector member_mask(const StrictMultiDiGraph& g, const Eligibility* elig, + const PathSelection& selection, + std::span residual, Amount min_residual); + +// Dijkstra over the members from (Forward) or toward (Reverse) the root set; kUnreachable for +// the nodes it does not reach. +[[nodiscard]] std::vector distances(const StrictMultiDiGraph& g, std::span member, + std::span roots, Direction direction); + +// The tight edges among the reached nodes of a full search (forward-oriented), ascending. +[[nodiscard]] std::vector full_dag(const StrictMultiDiGraph& g, std::span member, + std::span dist, Direction direction); + +// The edges on the minimum-cost walks from the source set to the destination set (the walks +// of cost d* = min over destinations of the distance), ascending; cost kUnreachable and no +// edge when no destination is reachable. +struct TightDag { + Cost cost {0}; + std::vector edges {}; +}; +[[nodiscard]] TightDag tight_dag(const StrictMultiDiGraph& g, std::span member, + std::span sources, std::span destinations); + +// The staged canonical single path from the source set to the destination set over the +// members; `priority` null for Deterministic; `prefix_cap` caps B* (a Yen root prefix). +struct SinglePath { + std::vector walk {}; // in walk order + Cost cost {0}; + std::optional bottleneck {}; // under PreferHigherPriority + std::optional b_star {}; +}; +[[nodiscard]] std::optional canonical_path(const StrictMultiDiGraph& g, + std::span member, + std::span sources, + std::span destinations, + const PriorityValues* priority, + std::optional prefix_cap = std::nullopt); + +// The search of APPROACH 6 (sub-PR 1d exposes it as spf()): validates (std::invalid_argument) +// the root set (non-empty, ids in range; duplicates removed), the targets when given +// (non-empty, ids in range, disjoint from the roots), multipath = false without targets, the +// residual (length E, entries in [0, capacity_units]), min_residual >= 1 and a foreign +// Eligibility, before any work. Excluded roots and targets are skipped (all excluded: an +// empty result). Without targets: `costs` for every node and the full DAG; with targets: the +// anycast-pruned DAG (or the canonical single path for multipath = false) and `target_cost` +// (nullopt when no target is reachable). +struct SpfOut { + std::optional> costs {}; + std::vector edges {}; + std::optional target_cost {}; + std::optional path {}; +}; +[[nodiscard]] SpfOut spf(const StrictMultiDiGraph& g, std::span roots, Direction direction, + std::optional> targets, const PathSelection& selection, + std::optional> residual, Amount min_residual, + const Eligibility* elig); + +// The sorted, duplicate-free node set; throws std::invalid_argument for an empty set or an id +// out of range (`name` labels the message). +[[nodiscard]] std::vector node_set(std::span nodes, std::int32_t num_nodes, const char* name); + +// Throws std::invalid_argument when the two sorted sets share a vertex (rule 13). +void check_disjoint(std::span a, std::span b); + +} // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/uid.hpp b/include/netgraph/core/detail/uid.hpp new file mode 100644 index 0000000..7ad17c6 --- /dev/null +++ b/include/netgraph/core/detail/uid.hpp @@ -0,0 +1,11 @@ +/* The process-wide uid counter of graphs, Eligibility values and ledgers (internal). */ +#pragma once + +#include + +namespace netgraph::core::detail { + +// A fresh uid from one process-wide 64-bit counter: never 0, never reused. +[[nodiscard]] std::uint64_t next_uid() noexcept; + +} // namespace netgraph::core::detail diff --git a/include/netgraph/core/flow.hpp b/include/netgraph/core/flow.hpp new file mode 100644 index 0000000..9c62689 --- /dev/null +++ b/include/netgraph/core/flow.hpp @@ -0,0 +1,71 @@ +/* Placement kinds, flow identities and ledger records (APPROACH 7 and 8). */ +#pragma once + +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/types.hpp" + +namespace netgraph::core { + +// The kernel that computes one flow's pushes on its DAG: MaxFlow (the flow core of the +// minimum-cost flow restricted to the flow's split graph, a replacement on V = W + own), +// Weighted (hop-by-hop WCMP: highest-averages apportionment over frozen weights at every node) +// and EqualBalanced (ECMP: round robin at every node). +enum class FlowPlacement { MaxFlow, Weighted, EqualBalanced }; + +// Lossless admits only what fits; Lossy forwards hop by hop without admission control and +// drops what does not fit on each edge (EqualBalanced and Weighted only). +enum class Admission { Lossless, Lossy }; + +// The path-cost sentinel of an unreachable node or an empty route (None in Python). +inline constexpr Cost kUnreachable = std::numeric_limits::max(); + +// (ledger uid, id): ids are assigned by the ledger in creation order and never reused. +using FlowId = std::pair; + +// A cumulative counter (offered, per-edge drops): a sum over calls, kept in 128 bits as +// hi * 2^64 + lo, always below 2^127 (APPROACH 2.1, 2.3). +struct Counter128 { + std::uint64_t hi {0}; + std::uint64_t lo {0}; + friend bool operator==(const Counter128&, const Counter128&) = default; + [[nodiscard]] bool is_zero() const noexcept { return hi == 0 && lo == 0; } + // The sum with a non-negative amount; false (and no change) when the sum reaches 2^127. + bool add(Amount x) noexcept { + const auto ux = static_cast(x); + const std::uint64_t lo2 = lo + ux; + const std::uint64_t hi2 = hi + (lo2 < lo ? 1U : 0U); + if (hi2 >= (std::uint64_t{1} << 63)) return false; + hi = hi2; + lo = lo2; + return true; + } +}; + +// One flow of the ledger, as a snapshot (records(), record(id)). `bundle` is the flow's route +// structure (its structural identity); `route_cost` the cached minimum walk cost from the +// sources to the destinations over that bundle (kUnreachable when it has no such walk); +// `offered` exists on Lossy records only (the injection basis); `edges` and `drops` list +// positive values in ascending EdgeId; per-call and cumulative drop totals are derived. +struct FlowRecord { + FlowId flow_id {}; + std::int64_t owner {0}; + std::vector sources {}; + std::vector destinations {}; + FlowPlacement placement {FlowPlacement::MaxFlow}; + Admission admission {Admission::Lossless}; + std::shared_ptr bundle {}; + Cost route_cost {kUnreachable}; + std::optional offered {}; + Amount delivered {0}; + std::vector> edges {}; + std::vector> drops {}; +}; + +} // namespace netgraph::core diff --git a/include/netgraph/core/flow_graph.hpp b/include/netgraph/core/flow_graph.hpp new file mode 100644 index 0000000..a02adfc --- /dev/null +++ b/include/netgraph/core/flow_graph.hpp @@ -0,0 +1,86 @@ +/* The integer ledger FlowGraph (APPROACH 8). */ +#pragma once + +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/flow.hpp" +#include "netgraph/core/strict_multidigraph.hpp" +#include "netgraph/core/types.hpp" + +namespace netgraph::core { + +namespace detail { +struct LedgerAccess; +} // namespace detail + +// The ledger of one graph: an immutable baseline residual in units and the records of the +// flows placed on it. The ledger is mutated only through policies (bound to it by the +// internal entry points of detail::LedgerAccess); there is no public placement, removal or +// reservation. Aggregates are exact: allocated() is the sum of every record's edges and +// residual() = baseline - allocated(), both int64[E] snapshots in EdgeId order. +// +// Lifetime: the graph outlives the ledger (shared pointer), the ledger outlives its policies. +// A ledger with bound policies cannot be copied, moved or reset. A copy of an unbound ledger +// is a new ledger (new uid) holding the same records and ids under the new uid; a moved-from +// ledger is empty and unusable (every call throws std::logic_error). A policy destroyed +// without remove() leaves its records and allocations as orphans (readable, never changed +// again) until reset(). +class FlowGraph { +public: + // `residual`: the baseline in units, one entry per edge in [0, capacity_units[e]] + // (std::invalid_argument otherwise); absent: the capacities. + explicit FlowGraph(std::shared_ptr graph); + FlowGraph(std::shared_ptr graph, std::span residual); + FlowGraph(const FlowGraph& other); + FlowGraph(FlowGraph&& other); + FlowGraph& operator=(const FlowGraph&) = delete; + FlowGraph& operator=(FlowGraph&&) = delete; + ~FlowGraph() = default; + + [[nodiscard]] std::uint64_t uid() const; + [[nodiscard]] const std::shared_ptr& graph() const; + // The graph's static capacities (the ledger's view of them). + [[nodiscard]] std::span capacity_units() const; + [[nodiscard]] std::vector residual() const; + [[nodiscard]] std::vector allocated() const; + // Live records (bound and orphaned) as snapshots in FlowId order. + [[nodiscard]] std::vector records() const; + // One record; a FlowId of another ledger, a retired id or an unknown id throws + // std::invalid_argument. + [[nodiscard]] FlowRecord record(const FlowId& flow_id) const; + // Saturation diagnostic: the edges (statically eligible, capacity >= 1 unit) leaving the set + // reachable from the allowed sources over eligible forward arcs with residual >= 1 unit, in + // ascending EdgeId. Not a cut; empty when the sources reach everything they can. + [[nodiscard]] std::vector bottleneck(std::span sources, const Eligibility* elig = nullptr) const; + // A new baseline (the capacities when absent); orphaned records and their allocations are + // cleared and their ids retired. Rejected (std::invalid_argument) while a policy is bound. + void reset(); + void reset(std::span residual); + +private: + friend struct detail::LedgerAccess; + void check_usable() const; + std::vector checked_baseline(std::span residual) const; + + std::shared_ptr graph_ {}; + std::uint64_t uid_ {0}; + bool usable_ {true}; + std::vector baseline_ {}; + std::vector allocated_ {}; + std::map records_ {}; + std::map> owner_ids_ {}; // owner -> live ids, ascending + std::int64_t next_id_ {0}; + std::int64_t next_owner_ {0}; + // Every owner since the last reset: true while bound, false once orphaned (release() flips + // the flag, so it never allocates). + std::map owners_ {}; + std::size_t num_bound_ {0}; +}; + +} // namespace netgraph::core diff --git a/include/netgraph/core/options.hpp b/include/netgraph/core/options.hpp new file mode 100644 index 0000000..96cbf27 --- /dev/null +++ b/include/netgraph/core/options.hpp @@ -0,0 +1,33 @@ +/* Route selection axes shared by the searches and the policies (APPROACH 6). */ +#pragma once + +namespace netgraph::core { + +// How ties between equal-cost candidates are broken, at both tie levels: the member chosen +// among parallel edges of one (u, v) pair and the single path chosen among equal-cost walks. +// Deterministic ignores capacities entirely (the lowest EdgeId wins); PreferHigherPriority +// prefers the higher `priority` value first (then the lowest EdgeId). +enum class EdgeTieBreak { Deterministic, PreferHigherPriority }; + +// The per-edge value read by PreferHigherPriority and, for the Weighted kernel, its membership +// and weights: the residual units on the view of the search (Residual), the static capacity +// units (Capacity), or the exact rational residual / capacity (Headroom; rejected with +// Weighted). A search given no residual reads static capacities for every priority. +enum class EdgePriority { Residual, Capacity, Headroom }; + +// The selection of a search: `multipath` keeps every equal-cost walk (the shortest-path DAG) +// instead of the one canonical single path; `multi_edge` keeps every eligible parallel member +// of a (u, v) pair instead of the one chosen by (minimum cost, priority under +// PreferHigherPriority, lowest EdgeId). tie_break and priority have no default (APPROACH 9: an +// outer axis is explicit); the two flags default to the plain form of their mechanism. +struct PathSelection { + PathSelection(EdgeTieBreak tie_break_, EdgePriority priority_, bool multipath_ = true, bool multi_edge_ = true) + : tie_break(tie_break_), priority(priority_), multipath(multipath_), multi_edge(multi_edge_) {} + EdgeTieBreak tie_break; + EdgePriority priority; + bool multipath; + bool multi_edge; + friend bool operator==(const PathSelection&, const PathSelection&) = default; +}; + +} // namespace netgraph::core diff --git a/include/netgraph/core/pred_dag.hpp b/include/netgraph/core/pred_dag.hpp new file mode 100644 index 0000000..3c7442f --- /dev/null +++ b/include/netgraph/core/pred_dag.hpp @@ -0,0 +1,86 @@ +/* Route structures: the immutable predecessor DAG and the explicit Path (APPROACH 5). */ +#pragma once + +#include +#include +#include + +#include "netgraph/core/strict_multidigraph.hpp" +#include "netgraph/core/types.hpp" + +namespace netgraph::core { + +namespace detail { +struct PredDAGBuilder; +} // namespace detail + +// An immutable, graph-bound DAG in predecessor CSR form: the predecessor entries of node v are +// parents()[k] and via_edges()[k] for k in [parent_offsets()[v], parent_offsets()[v + 1]); the +// entry (u, e) means the edge e = u -> v belongs to the DAG. Within a node the entries are in +// strictly ascending via EdgeId, so a DAG value has one canonical form. Equality is structural +// (same graph, same CSR). Every API that takes a route structure takes a PredDAG; a DAG of +// another graph is rejected wherever it is used. +class PredDAG { +public: + // Validates, in this order, before any traversal (std::invalid_argument on the first defect): + // offsets of length N + 1, offsets[0] == 0, monotone, offsets[N] == len(parents) == + // len(via); then every parent and via in range, every via joining (parent, child), no + // duplicate (child, via), acyclic; within a node the entries in ascending via EdgeId. + [[nodiscard]] static PredDAG from_csr(const StrictMultiDiGraph& g, std::span offsets, + std::span parents, std::span via); + + [[nodiscard]] std::uint64_t graph_uid() const noexcept { return graph_uid_; } + [[nodiscard]] std::int32_t num_nodes() const noexcept { return static_cast(offsets_.size()) - 1; } + [[nodiscard]] std::span parent_offsets() const noexcept { return offsets_; } + [[nodiscard]] std::span parents() const noexcept { return parents_; } + [[nodiscard]] std::span via_edges() const noexcept { return via_; } + // The member edges in ascending EdgeId. + [[nodiscard]] std::vector edges() const { return edges_; } + + friend bool operator==(const PredDAG& a, const PredDAG& b) noexcept { + return a.graph_uid_ == b.graph_uid_ && a.offsets_ == b.offsets_ && a.parents_ == b.parents_ && a.via_ == b.via_; + } + +private: + friend struct detail::PredDAGBuilder; + PredDAG() = default; + std::uint64_t graph_uid_ {0}; + std::vector offsets_ {0}; + std::vector parents_ {}; + std::vector via_ {}; + std::vector edges_ {}; // via_ in ascending EdgeId (derived once, at construction) +}; + +// An explicit walk of hops; a hop holds one or more parallel members of one (u, v) pair, in +// the caller's order. src, dst and cost (the sum over hops of the minimum member cost) are +// derived at construction. A single-member walk is [[e1], [e2], ...]. +class Path { +public: + // Validates, in this order (std::invalid_argument on the first defect): every member id in + // range (before any endpoint is read), no duplicate member, a non-empty hop list, every hop + // non-empty, the members of a hop sharing (u, v), contiguous hops, no repeated node. + Path(const StrictMultiDiGraph& g, std::vector> hops); + + [[nodiscard]] std::uint64_t graph_uid() const noexcept { return graph_uid_; } + [[nodiscard]] const std::vector>& hops() const noexcept { return hops_; } + [[nodiscard]] NodeId src() const noexcept { return nodes_.front(); } + [[nodiscard]] NodeId dst() const noexcept { return nodes_.back(); } + // The visited nodes, src first (hops + 1 entries). + [[nodiscard]] const std::vector& nodes() const noexcept { return nodes_; } + [[nodiscard]] Cost cost() const noexcept { return cost_; } + // The equivalent PredDAG (every member of every hop; entries in ascending via EdgeId). + [[nodiscard]] PredDAG to_dag() const; + + friend bool operator==(const Path& a, const Path& b) noexcept { + return a.graph_uid_ == b.graph_uid_ && a.hops_ == b.hops_; + } + +private: + std::uint64_t graph_uid_ {0}; + std::int32_t num_nodes_ {0}; + std::vector> hops_ {}; + std::vector nodes_ {}; + Cost cost_ {0}; +}; + +} // namespace netgraph::core diff --git a/include/netgraph/core/strict_multidigraph.hpp b/include/netgraph/core/strict_multidigraph.hpp index d34b722..0a43345 100644 --- a/include/netgraph/core/strict_multidigraph.hpp +++ b/include/netgraph/core/strict_multidigraph.hpp @@ -109,6 +109,11 @@ class Eligibility { [[nodiscard]] bool edge_ok(EdgeId e) const noexcept { return edge_allowed_[static_cast(e)] != 0; } + // The intersection of two values of one graph (std::invalid_argument for values of different + // graphs): an operand when the result equals it (a first, then b), keeping that operand's + // uid, so a consumer builds each state once and reuses it; otherwise a new value with a fresh + // uid (equal intersections built separately get distinct uids). + [[nodiscard]] static Eligibility intersect(const Eligibility& a, const Eligibility& b); private: friend class StrictMultiDiGraph; diff --git a/python/netgraph_core/__init__.py b/python/netgraph_core/__init__.py index 222da2d..d3a7b89 100644 --- a/python/netgraph_core/__init__.py +++ b/python/netgraph_core/__init__.py @@ -6,9 +6,12 @@ The streamlined Core is being rebuilt in sub-PRs (``dev/design/2026-10-streamline``): this build carries the graph on integer units (``StrictMultiDiGraph``, -``Eligibility``, ``to_units``, ``as_float``) and the private flow-core entry -``_netgraph_core._place_global_units``; the ledger, policies, searches and -evaluators return in the following sub-PRs. +``Eligibility`` with ``intersect``, ``to_units``, ``as_float``), the route structures +(``PredDAG``, ``Path``), the selection and placement axes (``PathSelection``, +``EdgeTieBreak``, ``EdgePriority``, ``FlowPlacement``, ``Admission``) and the integer +ledger (``FlowGraph`` with its ``FlowRecord`` snapshots), plus the private entries +of the flow core, the kernels and the internal search in ``_netgraph_core``; the +policies, the public searches and the evaluators return in the following sub-PRs. """ # pyright: reportMissingImports=false @@ -17,7 +20,16 @@ from typing import TYPE_CHECKING from _netgraph_core import ( + Admission, + EdgePriority, + EdgeTieBreak, Eligibility, + FlowGraph, + FlowPlacement, + FlowRecord, + Path, + PathSelection, + PredDAG, StrictMultiDiGraph, as_float, to_units, @@ -32,7 +44,16 @@ # because it turns "unchecked" into "confidently wrong". if TYPE_CHECKING: # pragma: no cover - typing-only from ._docs import ( # noqa: I001 + Admission as Admission, + EdgePriority as EdgePriority, + EdgeTieBreak as EdgeTieBreak, Eligibility as Eligibility, + FlowGraph as FlowGraph, + FlowPlacement as FlowPlacement, + FlowRecord as FlowRecord, + Path as Path, + PathSelection as PathSelection, + PredDAG as PredDAG, StrictMultiDiGraph as StrictMultiDiGraph, as_float as as_float, to_units as to_units, @@ -44,4 +65,13 @@ "Eligibility", "to_units", "as_float", + "PredDAG", + "Path", + "EdgeTieBreak", + "EdgePriority", + "PathSelection", + "FlowPlacement", + "Admission", + "FlowGraph", + "FlowRecord", ] diff --git a/python/netgraph_core/_docs.py b/python/netgraph_core/_docs.py index bc52196..785ef07 100644 --- a/python/netgraph_core/_docs.py +++ b/python/netgraph_core/_docs.py @@ -9,7 +9,7 @@ from __future__ import annotations -from typing import TYPE_CHECKING, Sequence, overload +from typing import TYPE_CHECKING, ClassVar, Sequence, overload if TYPE_CHECKING: # only for typing; runtime comes from extension import numpy as np # type: ignore[reportMissingImports] @@ -79,6 +79,16 @@ def edge_allowed(self) -> "np.ndarray": """bool[E] read-only view.""" ... + @staticmethod + def intersect(a: "Eligibility", b: "Eligibility") -> "Eligibility": + """The intersection of two values of one graph (ValueError for different graphs). + + Returns an operand itself when the result equals it (``a`` first, then ``b``), + otherwise a new value with a fresh uid; equal intersections built separately get + distinct uids, so a consumer builds each state once and reuses it. + """ + ... + class StrictMultiDiGraph: """Immutable directed multigraph on integer units (layout B'). @@ -179,3 +189,301 @@ def eligibility( Empty lists mean all allowed (uid 0). """ ... + + +class EdgeTieBreak: + """Ties between equal-cost candidates, at both tie levels (parallel members and walks). + + ``DETERMINISTIC`` takes the lowest EdgeId and ignores capacities; + ``PREFER_HIGHER_PRIORITY`` prefers the higher ``priority`` value first. + """ + + DETERMINISTIC: ClassVar["EdgeTieBreak"] + PREFER_HIGHER_PRIORITY: ClassVar["EdgeTieBreak"] + __members__: ClassVar[dict[str, "EdgeTieBreak"]] + + def __init__(self, value: int) -> None: ... + def __int__(self) -> int: ... + def __index__(self) -> int: ... + @property + def name(self) -> str: ... + @property + def value(self) -> int: ... + + +class EdgePriority: + """The per-edge value ``PREFER_HIGHER_PRIORITY`` reads, and the Weighted kernel's + membership and weights: ``RESIDUAL`` (residual units), ``CAPACITY`` (static capacity + units), ``HEADROOM`` (the exact rational residual / capacity; rejected with WEIGHTED). + A search given no residual reads static capacities for every priority.""" + + RESIDUAL: ClassVar["EdgePriority"] + CAPACITY: ClassVar["EdgePriority"] + HEADROOM: ClassVar["EdgePriority"] + __members__: ClassVar[dict[str, "EdgePriority"]] + + def __init__(self, value: int) -> None: ... + def __int__(self) -> int: ... + def __index__(self) -> int: ... + @property + def name(self) -> str: ... + @property + def value(self) -> int: ... + + +class FlowPlacement: + """The kernel of one flow (APPROACH 7). + + ``MAX_FLOW``: the minimum-cost flow core on the flow's split graph, a replacement on + ``V = W + own`` (its own allocation cancellable, other owners never). ``WEIGHTED``: + hop-by-hop WCMP, highest-averages apportionment over weights frozen at creation. + ``EQUAL_BALANCED``: ECMP, round robin at every node. + """ + + MAX_FLOW: ClassVar["FlowPlacement"] + WEIGHTED: ClassVar["FlowPlacement"] + EQUAL_BALANCED: ClassVar["FlowPlacement"] + __members__: ClassVar[dict[str, "FlowPlacement"]] + + def __init__(self, value: int) -> None: ... + def __int__(self) -> int: ... + def __index__(self) -> int: ... + @property + def name(self) -> str: ... + @property + def value(self) -> int: ... + + +class Admission: + """``LOSSLESS`` admits only what fits; ``LOSSY`` forwards hop by hop without admission + control and drops what does not fit on each edge (EQUAL_BALANCED and WEIGHTED only).""" + + LOSSLESS: ClassVar["Admission"] + LOSSY: ClassVar["Admission"] + __members__: ClassVar[dict[str, "Admission"]] + + def __init__(self, value: int) -> None: ... + def __int__(self) -> int: ... + def __index__(self) -> int: ... + @property + def name(self) -> str: ... + @property + def value(self) -> int: ... + + +class PathSelection: + """The selection of a search (APPROACH 6). + + ``tie_break`` and ``priority`` are explicit; ``multipath = True`` keeps every equal-cost + walk (the DAG), ``False`` the one canonical single path; ``multi_edge = True`` keeps every + eligible parallel member, ``False`` one per ``(u, v)`` pair (minimum cost, then the + priority under PREFER_HIGHER_PRIORITY, then the lowest EdgeId). Immutable value. + """ + + def __init__( + self, + tie_break: EdgeTieBreak, + priority: EdgePriority, + multipath: bool = True, + multi_edge: bool = True, + ) -> None: ... + @property + def tie_break(self) -> EdgeTieBreak: ... + @property + def priority(self) -> EdgePriority: ... + @property + def multipath(self) -> bool: ... + @property + def multi_edge(self) -> bool: ... + + +class PredDAG: + """Immutable, graph-bound predecessor DAG (APPROACH 5). + + The entries of node ``v`` are ``parents()[k]``, ``via_edges()[k]`` for ``k`` in + ``[parent_offsets()[v], parent_offsets()[v + 1])``: the edge ``via`` joins + ``parent -> v``. Within a node the entries are in strictly ascending via EdgeId (one + canonical form). Equality is structural. Accessors return read-only NumPy views that + keep the DAG alive. A DAG of another graph is rejected wherever it is used. + """ + + @staticmethod + def from_csr( + graph: StrictMultiDiGraph, + offsets: "Sequence[int] | np.ndarray", + parents: "Sequence[int] | np.ndarray", + via: "Sequence[int] | np.ndarray", + ) -> "PredDAG": + """Build a DAG from its CSR, validated before any traversal. + + Raises: + ValueError: On the first defect, in this order: offsets of length N + 1, + ``offsets[0] == 0``, monotone, ``offsets[N] == len(parents) == len(via)``; + every parent and via in range, every via joining ``(parent, child)``, no + duplicate ``(child, via)``, acyclic; within a node the entries in ascending + via EdgeId. + """ + ... + + def graph_uid(self) -> int: + """uid of the graph this DAG belongs to.""" + ... + + def parent_offsets(self) -> "np.ndarray": + """int32[N + 1] CSR offsets.""" + ... + + def parents(self) -> "np.ndarray": + """int32 parent NodeId per entry.""" + ... + + def via_edges(self) -> "np.ndarray": + """int32 via EdgeId per entry.""" + ... + + +class Path: + """Immutable, graph-bound explicit walk (APPROACH 5). + + ``hops`` lists, per hop, one or more parallel members of one ``(u, v)`` pair (the + caller's member order is kept); ``cost`` is the sum over hops of the minimum member + cost. ``to_dag()`` gives the equivalent ``PredDAG``. + """ + + def __init__( + self, graph: StrictMultiDiGraph, hops: "Sequence[Sequence[int]]" + ) -> None: + """Validate and build the walk. + + Raises: + ValueError: On the first defect, in this order: every member id in range, + no duplicate member, a non-empty hop list, every hop non-empty, the + members of a hop sharing ``(u, v)``, contiguous hops, no repeated node. + """ + ... + + def graph_uid(self) -> int: ... + def hops(self) -> list[list[int]]: ... + def src(self) -> int: ... + def dst(self) -> int: ... + def nodes(self) -> list[int]: + """The visited nodes, ``src`` first.""" + ... + + def cost(self) -> int: ... + def to_dag(self) -> PredDAG: ... + + +class FlowRecord: + """One flow of a ledger, as a snapshot (APPROACH 8). + + ``flow_id`` is ``(ledger uid, id)``; ``owner`` the id of the policy that placed it; + ``bundle`` the flow's route; ``route_cost`` its minimum walk cost (``None`` for an empty + route); ``offered`` exists on Lossy records only (``None`` otherwise); ``edges`` and + ``drops`` are ``(EdgeId, units)`` pairs in ascending EdgeId (drops cumulative over + calls). Counters are exact ints and may exceed 64 bits. + """ + + @property + def flow_id(self) -> tuple[int, int]: ... + @property + def owner(self) -> int: ... + @property + def sources(self) -> list[int]: ... + @property + def destinations(self) -> list[int]: ... + @property + def placement(self) -> FlowPlacement: ... + @property + def admission(self) -> Admission: ... + @property + def bundle(self) -> PredDAG: ... + @property + def route_cost(self) -> int | None: ... + @property + def offered(self) -> int | None: ... + @property + def delivered(self) -> int: ... + @property + def edges(self) -> list[tuple[int, int]]: ... + @property + def drops(self) -> list[tuple[int, int]]: ... + + +class FlowGraph: + """The integer ledger of one graph (APPROACH 8). + + An immutable baseline residual in units and the records of the flows placed on it by + policies; the ledger has no public placement, removal or reservation. ``allocated()`` + is the sum of every record's edges and ``residual() = baseline - allocated()``, both + ``int64[E]`` snapshots in EdgeId order. ``reset()`` and ``copy()`` are rejected while a + policy is bound. A policy destroyed without ``remove()`` leaves its records as + orphans (readable, never changed again) until ``reset()``. + """ + + def __init__( + self, + graph: StrictMultiDiGraph, + residual: "Sequence[int] | np.ndarray | None" = None, + ) -> None: + """Bind a ledger to ``graph``. + + Args: + graph: The graph (kept alive by the ledger). + residual: The baseline as integer units, one entry per edge in + ``[0, capacity_units[e]]`` (a physical baseline goes through ``to_units``); + ``None``: the capacities. + + Raises: + ValueError: a baseline of the wrong length, a non-integer entry, or an entry + outside ``[0, capacity_units[e]]``. + """ + ... + + def uid(self) -> int: + """Process-unique ledger uid (the first half of every FlowId).""" + ... + + def graph(self) -> StrictMultiDiGraph: ... + def capacity_units(self) -> "np.ndarray": + """int64[E] the graph's capacities in units (read-only view).""" + ... + + def residual(self) -> "np.ndarray": + """int64[E] snapshot: baseline - allocated.""" + ... + + def allocated(self) -> "np.ndarray": + """int64[E] snapshot: the sum of every record's edges.""" + ... + + def records(self) -> list[FlowRecord]: + """Live records (bound and orphaned) as snapshots in FlowId order.""" + ... + + def record(self, flow_id: tuple[int, int]) -> FlowRecord: + """One record; ValueError for a FlowId of another ledger, a retired or an unknown id.""" + ... + + def bottleneck( + self, sources: "int | Sequence[int]", elig: Eligibility | None = None + ) -> list[int]: + """Saturation diagnostic, ascending EdgeId (not a cut). + + The edges (statically eligible, capacity >= 1 unit) leaving the set reachable + from the allowed sources over eligible forward arcs with residual >= 1 unit. + """ + ... + + def reset(self, residual: "Sequence[int] | np.ndarray | None" = None) -> None: + """A new baseline (``None``: the capacities); orphans cleared, ids retired. + + Raises: + ValueError: while a policy is bound; an invalid baseline. + """ + ... + + def copy(self) -> "FlowGraph": + """A new ledger (new uid) with the same baseline and records (ids kept under the + new uid); ValueError while a policy is bound.""" + ... diff --git a/src/flow_graph.cpp b/src/flow_graph.cpp new file mode 100644 index 0000000..8c9e21f --- /dev/null +++ b/src/flow_graph.cpp @@ -0,0 +1,461 @@ +/* + The integer ledger FlowGraph (APPROACH 8). + + The aggregate allocation is kept exactly (integers) and changed only by an atomic commit or a + detach; residual() is derived from it (baseline - allocated). Records are kept by id (FlowId + order); ids come from a per-ledger counter and are never reused, also across reset(). +*/ +#include "netgraph/core/flow_graph.hpp" + +#include +#include +#include +#include + +#include "netgraph/core/detail/ledger_access.hpp" +#include "netgraph/core/detail/search.hpp" +#include "netgraph/core/detail/uid.hpp" + +namespace netgraph::core { + +FlowGraph::FlowGraph(std::shared_ptr graph) { + if (!graph) throw std::invalid_argument("FlowGraph: graph is null"); + graph_ = std::move(graph); + baseline_.assign(graph_->capacity_units().begin(), graph_->capacity_units().end()); + allocated_.assign(baseline_.size(), 0); + uid_ = detail::next_uid(); +} + +FlowGraph::FlowGraph(std::shared_ptr graph, std::span residual) { + if (!graph) throw std::invalid_argument("FlowGraph: graph is null"); + graph_ = std::move(graph); + baseline_ = checked_baseline(residual); + allocated_.assign(baseline_.size(), 0); + uid_ = detail::next_uid(); +} + +FlowGraph::FlowGraph(const FlowGraph& other) { + other.check_usable(); + if (other.num_bound_ != 0) { + throw std::invalid_argument("FlowGraph: a ledger with bound policies cannot be copied"); + } + graph_ = other.graph_; + uid_ = detail::next_uid(); + baseline_ = other.baseline_; + allocated_ = other.allocated_; + records_ = other.records_; + owner_ids_ = other.owner_ids_; + for (auto& [id, rec] : records_) rec.flow_id = FlowId {uid_, id}; + next_id_ = other.next_id_; + next_owner_ = other.next_owner_; + owners_ = other.owners_; // orphans only +} + +FlowGraph::FlowGraph(FlowGraph&& other) { + other.check_usable(); + if (other.num_bound_ != 0) { + throw std::invalid_argument("FlowGraph: a ledger with bound policies cannot be moved"); + } + graph_ = std::move(other.graph_); + uid_ = other.uid_; + baseline_ = std::move(other.baseline_); + allocated_ = std::move(other.allocated_); + records_ = std::move(other.records_); + owner_ids_ = std::move(other.owner_ids_); + next_id_ = other.next_id_; + next_owner_ = other.next_owner_; + owners_ = std::move(other.owners_); + other.usable_ = false; + other.baseline_.clear(); + other.allocated_.clear(); + other.records_.clear(); + other.owner_ids_.clear(); + other.owners_.clear(); +} + +void FlowGraph::check_usable() const { + if (!usable_) throw std::logic_error("FlowGraph: a moved-from ledger is empty and unusable"); +} + +std::vector FlowGraph::checked_baseline(std::span residual) const { + const auto capacity = graph_->capacity_units(); + if (residual.size() != capacity.size()) { + throw std::invalid_argument("residual has length " + std::to_string(residual.size()) + ", expected " + + std::to_string(capacity.size()) + " (one entry per edge)"); + } + for (std::size_t e = 0; e < residual.size(); ++e) { + if (residual[e] < 0 || residual[e] > capacity[e]) { + throw std::invalid_argument("residual[" + std::to_string(e) + "] = " + std::to_string(residual[e]) + + " is outside [0, capacity_units[" + std::to_string(e) + "] = " + + std::to_string(capacity[e]) + "]"); + } + } + return std::vector(residual.begin(), residual.end()); +} + +std::uint64_t FlowGraph::uid() const { + check_usable(); + return uid_; +} + +const std::shared_ptr& FlowGraph::graph() const { + check_usable(); + return graph_; +} + +std::span FlowGraph::capacity_units() const { + check_usable(); + return graph_->capacity_units(); +} + +std::vector FlowGraph::residual() const { + check_usable(); + std::vector out(baseline_.size()); + for (std::size_t e = 0; e < out.size(); ++e) out[e] = baseline_[e] - allocated_[e]; + return out; +} + +std::vector FlowGraph::allocated() const { + check_usable(); + return allocated_; +} + +std::vector FlowGraph::records() const { + check_usable(); + std::vector out; + out.reserve(records_.size()); + for (const auto& [id, rec] : records_) out.push_back(rec); + return out; +} + +FlowRecord FlowGraph::record(const FlowId& flow_id) const { + check_usable(); + if (flow_id.first != uid_) { + throw std::invalid_argument("FlowId (" + std::to_string(flow_id.first) + ", " + std::to_string(flow_id.second) + + ") belongs to another ledger (uid " + std::to_string(uid_) + ")"); + } + const auto it = records_.find(flow_id.second); + if (it == records_.end()) { + throw std::invalid_argument("FlowId (" + std::to_string(flow_id.first) + ", " + std::to_string(flow_id.second) + + ") is retired or unknown"); + } + return it->second; +} + +std::vector FlowGraph::bottleneck(std::span sources, const Eligibility* elig) const { + check_usable(); + const auto& g = *graph_; + const auto srcs = detail::node_set(sources, g.num_nodes(), "sources"); + if (elig != nullptr && elig->graph_uid() != g.uid()) { + throw std::invalid_argument("foreign Eligibility: built for another graph"); + } + const auto n = static_cast(g.num_nodes()); + const auto m = static_cast(g.num_edges()); + const auto edge_src = g.edge_src(); + const auto edge_dst = g.edge_dst(); + const auto capacity = g.capacity_units(); + const auto row = g.row_offsets(); + std::vector seen(n, 0); + std::vector stack; + for (NodeId s : srcs) { + if (elig != nullptr && !elig->node_ok(s)) continue; + seen[static_cast(s)] = 1; + stack.push_back(s); + } + while (!stack.empty()) { + const auto u = static_cast(stack.back()); + stack.pop_back(); + for (auto e = row[u]; e < row[u + 1]; ++e) { + const auto ei = static_cast(e); + if (elig != nullptr && !elig->edge_ok(e)) continue; + if (baseline_[ei] - allocated_[ei] < 1) continue; + const auto v = static_cast(edge_dst[ei]); + if (seen[v] == 0) { + seen[v] = 1; + stack.push_back(static_cast(v)); + } + } + } + std::vector out; + for (std::size_t e = 0; e < m; ++e) { + if (seen[static_cast(edge_src[e])] == 0 || seen[static_cast(edge_dst[e])] != 0) continue; + if (elig != nullptr && !elig->edge_ok(static_cast(e))) continue; + if (capacity[e] < 1) continue; + out.push_back(static_cast(e)); + } + return out; +} + +void FlowGraph::reset() { + check_usable(); + reset(graph_->capacity_units()); +} + +void FlowGraph::reset(std::span residual) { + check_usable(); + if (num_bound_ != 0) { + throw std::invalid_argument("FlowGraph.reset is rejected while a policy is bound (" + + std::to_string(num_bound_) + " bound)"); + } + auto baseline = checked_baseline(residual); + baseline_ = std::move(baseline); + allocated_.assign(baseline_.size(), 0); + records_.clear(); + owner_ids_.clear(); + owners_.clear(); +} + +namespace detail { + +namespace { + +bool is_bound(const std::map& owners, std::int64_t owner) { + const auto it = owners.find(owner); + return it != owners.end() && it->second; +} + +// The dense per-edge delta of one commit, in a per-thread array of slots. An edge is touched in +// this commit when its slot carries the commit's epoch stamp: that test does not depend on the +// delta's value, so a delta that returns to zero during accumulation (-1, then +1) keeps its one +// entry in the touched list and is published once (review-1b-fixes N2). A slot is reset on its +// first touch in a commit, so nothing needs clearing between commits: a commit that throws +// leaves stale slots behind an old epoch. Delta and stamp share one array, so growing it either +// succeeds whole or leaves the previous array (review-1b-fixes N1). +class DeltaScratch { +public: + explicit DeltaScratch(std::size_t num_edges) : s_(storage()) { + s_.touched.clear(); + if (s_.slot.size() < num_edges) s_.slot.resize(num_edges); // strong guarantee; new stamps 0 + if (++s_.epoch == 0) { + for (auto& x : s_.slot) x.stamp = 0; + s_.epoch = 1; + } + } + DeltaScratch(const DeltaScratch&) = delete; + DeltaScratch& operator=(const DeltaScratch&) = delete; + ~DeltaScratch() { s_.touched.clear(); } + void add(EdgeId e, Amount x) { + auto& slot = s_.slot[static_cast(e)]; + if (slot.stamp != s_.epoch) { + s_.touched.push_back(e); // may throw: the slot is left untouched in this commit + slot.stamp = s_.epoch; + slot.delta = 0; + } + slot.delta += x; + } + // Each touched edge once, in first-touch order. + [[nodiscard]] const std::vector& touched() const noexcept { return s_.touched; } + [[nodiscard]] Amount at(EdgeId e) const noexcept { return s_.slot[static_cast(e)].delta; } + +private: + struct Slot { + Amount delta {0}; + std::uint32_t stamp {0}; + }; + struct Storage { + std::vector slot; + std::vector touched; + std::uint32_t epoch {0}; + }; + static Storage& storage() { + thread_local Storage st; + return st; + } + Storage& s_; +}; + +FlowRecord record_of(std::uint64_t uid, std::int64_t id, std::int64_t owner, Draft& d) { + FlowRecord rec; + rec.flow_id = FlowId {uid, id}; + rec.owner = owner; + rec.sources = std::move(d.sources); + rec.destinations = std::move(d.destinations); + rec.placement = d.placement; + rec.admission = d.admission; + rec.bundle = std::move(d.bundle); + rec.route_cost = d.route_cost; + rec.offered = d.offered; + rec.delivered = d.delivered; + rec.edges = std::move(d.edges); + std::erase_if(rec.edges, [](const auto& p) { return p.second == 0; }); + rec.drops = std::move(d.drops); + std::erase_if(rec.drops, [](const auto& p) { return p.second.is_zero(); }); + return rec; +} + +// The publication step moves staged records into place; it must not throw. +static_assert(std::is_nothrow_move_assignable_v); +static_assert(std::is_nothrow_swappable_v>); + +} // namespace + +std::int64_t LedgerAccess::bind(FlowGraph& fg) { + fg.check_usable(); + const std::int64_t owner = fg.next_owner_; + fg.owners_.emplace(owner, true); // the only allocation: nothing changes if it throws + ++fg.next_owner_; + ++fg.num_bound_; + return owner; +} + +void LedgerAccess::release(FlowGraph& fg, std::int64_t owner) noexcept { + const auto it = fg.owners_.find(owner); + if (it == fg.owners_.end() || !it->second) return; + it->second = false; + --fg.num_bound_; +} + +std::vector LedgerAccess::detach(FlowGraph& fg, std::int64_t owner) { + fg.check_usable(); + if (!is_bound(fg.owners_, owner)) throw std::logic_error("ledger: detach by an unbound owner"); + std::vector ids; + const auto it = fg.owner_ids_.find(owner); + if (it == fg.owner_ids_.end()) return ids; + // Nothing below allocates: the index vector moves out, its node and the records are erased. + ids = std::move(it->second); + fg.owner_ids_.erase(it); + for (std::int64_t id : ids) { + const auto rec = fg.records_.find(id); + for (const auto& [e, x] : rec->second.edges) fg.allocated_[static_cast(e)] -= x; + fg.records_.erase(rec); + } + return ids; +} + +std::vector LedgerAccess::commit(FlowGraph& fg, std::int64_t owner, std::span drafts) { + fg.check_usable(); + if (!is_bound(fg.owners_, owner)) throw std::logic_error("ledger: commit by an unbound owner"); + // The drafts carry exactly the owner's live records plus new ones. + const auto owned = fg.owner_ids_.find(owner); + const std::size_t num_current = owned == fg.owner_ids_.end() ? 0 : owned->second.size(); + std::vector kept; + std::size_t num_new = 0; + for (const auto& d : drafts) { + if (d.id.has_value()) { + kept.push_back(*d.id); + } else { + ++num_new; + } + } + std::sort(kept.begin(), kept.end()); + if (kept.size() != num_current || (num_current != 0 && kept != owned->second)) { + throw std::logic_error("ledger: a commit must carry every live record of its policy"); + } + + // 1. The new aggregate on every touched edge (old owner allocation out, new drafts in), + // checked before anything changes. + DeltaScratch delta(fg.allocated_.size()); + if (num_current != 0) { + for (std::int64_t id : owned->second) { + for (const auto& [e, x] : fg.records_.at(id).edges) delta.add(e, -x); + } + } + bool negative = false; + for (const auto& d : drafts) { + for (const auto& [e, x] : d.edges) { + negative = negative || x < 0; + delta.add(e, x); + } + } + if (negative) throw std::logic_error("ledger: a negative allocation in a commit"); + for (EdgeId e : delta.touched()) { + const auto ei = static_cast(e); + const Amount next = fg.allocated_[ei] + delta.at(e); + if (next < 0 || next > fg.baseline_[ei]) { + throw std::logic_error("ledger: infeasible commit on edge " + std::to_string(e) + " (" + std::to_string(next) + + " of " + std::to_string(fg.baseline_[ei]) + ")"); + } + } + + // 2. Every allocation of the publication, staged: the records (new ones as map nodes), the + // owner's index node, the returned ids and the next id. A throw here changes nothing. + std::vector created; + created.reserve(num_new); + std::vector live; // the owner's new index, when it gains ids + if (num_new != 0) { + live.reserve(kept.size() + num_new); + live.assign(kept.begin(), kept.end()); // ascending; new ids are larger than every kept id + } + std::vector::iterator> targets; + std::vector updated; + targets.reserve(kept.size()); + updated.reserve(kept.size()); + std::map fresh; + std::int64_t next_id = fg.next_id_; + for (auto& d : drafts) { + if (d.id.has_value()) { + targets.push_back(fg.records_.find(*d.id)); + updated.push_back(record_of(fg.uid_, *d.id, owner, d)); + } else { + const std::int64_t id = next_id++; + fresh.emplace_hint(fresh.end(), id, record_of(fg.uid_, id, owner, d)); + created.emplace_back(fg.uid_, id); + live.push_back(id); + } + } + std::map> index_node; + if (owned == fg.owner_ids_.end() && !live.empty()) index_node.emplace(owner, std::move(live)); + + // 3. Publication: nothing below allocates or throws (map nodes are spliced, not copied). + for (EdgeId e : delta.touched()) fg.allocated_[static_cast(e)] += delta.at(e); + for (std::size_t i = 0; i < targets.size(); ++i) targets[i]->second = std::move(updated[i]); + fg.records_.merge(fresh); + if (num_new != 0) { + if (owned != fg.owner_ids_.end()) { + owned->second.swap(live); + } else { + fg.owner_ids_.merge(index_node); + } + } + fg.next_id_ = next_id; + return created; +} + +const FlowRecord& LedgerAccess::live(const FlowGraph& fg, std::int64_t id) { + const auto it = fg.records_.find(id); + if (it == fg.records_.end()) throw std::invalid_argument("ledger: retired or unknown flow id " + std::to_string(id)); + return it->second; +} + +void LedgerAccess::residual_into(const FlowGraph& fg, std::vector& out) { + fg.check_usable(); + out.resize(fg.baseline_.size()); + for (std::size_t e = 0; e < out.size(); ++e) out[e] = fg.baseline_[e] - fg.allocated_[e]; +} + +std::span LedgerAccess::baseline(const FlowGraph& fg) { + fg.check_usable(); + return fg.baseline_; +} + +std::span LedgerAccess::allocated(const FlowGraph& fg) { + fg.check_usable(); + return fg.allocated_; +} + +std::int64_t LedgerAccess::next_flow_id(const FlowGraph& fg) { + fg.check_usable(); + return fg.next_id_; +} + +std::vector LedgerAccess::bound_owners(const FlowGraph& fg) { + fg.check_usable(); + std::vector out; + for (const auto& [owner, bound] : fg.owners_) { + if (bound) out.push_back(owner); + } + return out; +} + +std::vector LedgerAccess::orphan_owners(const FlowGraph& fg) { + fg.check_usable(); + std::vector out; + for (const auto& [owner, bound] : fg.owners_) { + if (!bound) out.push_back(owner); + } + return out; +} + +} // namespace detail + +} // namespace netgraph::core diff --git a/src/kernels.cpp b/src/kernels.cpp new file mode 100644 index 0000000..9c8019f --- /dev/null +++ b/src/kernels.cpp @@ -0,0 +1,863 @@ +/* + Apportionment and the placement kernels in units (APPROACH 2.1, 7 and 16). + + Every amount is an int64 number of units below 2^62: a flow's T is bounded by its source + members' view, every inflow by T, every share by its node's inflow. Highest averages compares + quotients by exact 128-bit cross products (weights and divisors below 2^63, products below + 2^126); lower quotas floor(I * w / W) are 128-bit products divided by W < 2^62. +*/ +#include "netgraph/core/detail/kernels.hpp" + +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/flow_core.hpp" +#include "netgraph/core/detail/int128.hpp" +#include "netgraph/core/detail/node_map.hpp" +#include "netgraph/core/detail/pred_dag_builder.hpp" + +namespace netgraph::core::detail { + +// ---------------------------------------------------------------- apportionment + +void round_robin(Amount total, std::span out) noexcept { + const auto k = static_cast(out.size()); + const Amount base = total / k; + const Amount extra = total % k; + for (Amount i = 0; i < k; ++i) out[static_cast(i)] = base + (i < extra ? 1 : 0); +} + +namespace { + +// w_i / d_i > w_j / d_j, ties by the lower index: the next unit's recipient order. +bool before(std::uint64_t wi, std::uint64_t di, std::size_t i, std::uint64_t wj, std::uint64_t dj, std::size_t j) { + const U128 left = mul_u64(wi, dj); + const U128 right = mul_u64(wj, di); + if (!(left == right)) return left > right; + return i < j; +} + +} // namespace + +void highest_averages(Amount total, std::span weights, std::span out) { + const std::size_t k = weights.size(); + std::uint64_t wsum = 0; + for (Amount w : weights) wsum += static_cast(w); + Amount given = 0; + for (std::size_t m = 0; m < k; ++m) { + // Lower quota floor(total * w / W): exactly the quotients w / j >= W / total. + out[m] = static_cast(div_u128(mul_u64(static_cast(total), + static_cast(weights[m])), + wsum)); + given += out[m]; + } + Amount left = total - given; // fewer than k + if (left == 0) return; + if (k <= 16) { + while (left-- > 0) { + std::size_t best = 0; + for (std::size_t m = 1; m < k; ++m) { + if (before(static_cast(weights[m]), static_cast(out[m]) + 1, m, + static_cast(weights[best]), static_cast(out[best]) + 1, best)) { + best = m; + } + } + ++out[best]; + } + return; + } + std::vector heap(k); + std::iota(heap.begin(), heap.end(), std::size_t{0}); + // std heaps put the largest first: "a < b" when b goes first. + auto later = [&](std::size_t a, std::size_t b) { + return before(static_cast(weights[b]), static_cast(out[b]) + 1, b, + static_cast(weights[a]), static_cast(out[a]) + 1, a); + }; + std::make_heap(heap.begin(), heap.end(), later); + while (left-- > 0) { + std::pop_heap(heap.begin(), heap.end(), later); + ++out[heap.back()]; + std::push_heap(heap.begin(), heap.end(), later); + } +} + +// ---------------------------------------------------------------- plans + +void check_kernel(FlowPlacement placement, Admission admission, EdgePriority priority) { + if (admission == Admission::Lossy && placement == FlowPlacement::MaxFlow) { + throw std::invalid_argument( + "Lossy admission is rejected with the MaxFlow kernel: a controller never drops (EqualBalanced or " + "Weighted only)"); + } + if (placement == FlowPlacement::Weighted && priority == EdgePriority::Headroom) { + throw std::invalid_argument("the Weighted kernel is rejected with priority Headroom (weights are units)"); + } +} + +namespace { + +// Per-thread scratch of build_split; nothing in it survives a call. +struct SplitScratch { + std::vector edge; // candidate arcs, ascending EdgeId + std::vector tail; // local tail per arc + std::vector head; // local head per arc + std::vector in_off; // in-CSR over local heads + std::vector in_arc; + std::vector cursor; + std::vector state; // backward DFS: 0 unseen, 1 open, 2 done (reaches a destination) + std::vector fwd; // reached from the source over arcs of reached tails + std::vector order; // postorder: every node after all of its parents + std::vector> stack; // (node, next in-arc) + std::vector member_arc; // per member its arc + std::vector position; + std::vector first; // per local tail: its first member + std::vector count; // per local tail: its number of members + std::vector dist; // the cost DP +}; + +SplitScratch& split_scratch() { + thread_local SplitScratch s; + return s; +} + +// The split structure of a flow from src to the destination set over `edges` (ascending +// EdgeId), restricted to the edges `keep(i, e)` accepts: the kept edges on some walk from src to +// a destination (destinations terminal) become plan.members, with the plan's topological fields. +// One pass: a backward DFS from the destinations over the in-arcs lists the nodes that reach a +// destination in postorder (every node after its parents, a topological order); a forward pass +// over that order marks the nodes the source reaches. Members ascend by EdgeId and B' ids rank +// edges by source first, so the members of one tail are consecutive. Any topological order gives +// the same allocation (a node splits once its inflow is complete). +// +// With `cost`, the forward pass also computes the minimum walk cost from the source to a +// destination over the members (kUnreachable without members): the DP runs in the same +// topological order. +template +void build_split(const StrictMultiDiGraph& g, std::span edges, NodeId src, std::span dsts, + Keep keep, KernelPlan& plan, Cost* cost = nullptr) { + plan.members.clear(); + plan.topo.clear(); + plan.terminal.clear(); + plan.out_begin.clear(); + plan.out_end.clear(); + plan.head_pos.clear(); + if (cost != nullptr) *cost = kUnreachable; + plan.src_out_begin = 0; + plan.src_out_end = 0; + const auto edge_src = g.edge_src(); + const auto edge_dst = g.edge_dst(); + NodeMap& map = NodeMap::local(); + map.reset(static_cast(g.num_nodes())); + (void)map.add(src); // local 0 + for (NodeId d : dsts) (void)map.add(d); + const auto num_dst = static_cast(map.size()); // locals 1 .. num_dst - 1 + auto is_dst = [num_dst](std::int32_t v) { return v >= 1 && v < num_dst; }; + SplitScratch& s = split_scratch(); + s.edge.clear(); + s.tail.clear(); + s.head.clear(); + NodeId last_src = -1; + std::int32_t last_tail = -1; + for (std::size_t i = 0; i < edges.size(); ++i) { + const EdgeId e = edges[i]; + if (!keep(i, e)) continue; + const auto ei = static_cast(e); + if (edge_src[ei] != last_src) { + last_src = edge_src[ei]; + last_tail = map.add(last_src); + } + if (is_dst(last_tail)) continue; // destinations are terminal + s.edge.push_back(e); + s.tail.push_back(last_tail); + s.head.push_back(map.add(edge_dst[ei])); + } + const std::size_t n = map.size(); + const std::size_t k = s.edge.size(); + s.in_off.assign(n + 1, 0); + for (std::size_t a = 0; a < k; ++a) ++s.in_off[static_cast(s.head[a]) + 1]; + for (std::size_t v = 0; v < n; ++v) s.in_off[v + 1] += s.in_off[v]; + s.in_arc.resize(k); + s.cursor.assign(s.in_off.begin(), s.in_off.end() - 1); + for (std::size_t a = 0; a < k; ++a) { + s.in_arc[static_cast(s.cursor[static_cast(s.head[a])]++)] = static_cast(a); + } + // Backward DFS from the destinations, postorder. + s.state.assign(n, 0); + s.order.clear(); + for (std::int32_t d = 1; d < num_dst; ++d) { + if (s.state[static_cast(d)] != 0) continue; + s.state[static_cast(d)] = 1; + s.stack.clear(); + s.stack.emplace_back(d, s.in_off[static_cast(d)]); + while (!s.stack.empty()) { + const auto [v, it] = s.stack.back(); + if (it < s.in_off[static_cast(v) + 1]) { + s.stack.back().second = it + 1; + const std::int32_t u = s.tail[static_cast(s.in_arc[static_cast(it)])]; + const auto su = s.state[static_cast(u)]; + if (su == 0) { + s.state[static_cast(u)] = 1; + s.stack.emplace_back(u, s.in_off[static_cast(u)]); + } else if (su == 1) { + throw std::logic_error("kernel plan: the route is cyclic"); + } + } else { + s.state[static_cast(v)] = 2; + s.order.push_back(v); + s.stack.pop_back(); + } + } + } + // Forward over the postorder (with the cost DP when asked). + s.fwd.assign(n, 0); + if (s.state[0] == 2) s.fwd[0] = 1; + if (cost == nullptr) { + for (std::int32_t v : s.order) { + if (v == 0) continue; + const auto vi = static_cast(v); + for (auto it = s.in_off[vi]; it < s.in_off[vi + 1]; ++it) { + if (s.fwd[static_cast(s.tail[static_cast(s.in_arc[static_cast(it)])])] != 0) { + s.fwd[vi] = 1; + break; + } + } + } + } else { + const auto edge_cost = g.cost(); + s.dist.assign(n, kUnreachable); + s.dist[0] = 0; + Cost best = kUnreachable; + for (std::int32_t v : s.order) { + const auto vi = static_cast(v); + if (v != 0) { + Cost dv = kUnreachable; + for (auto it = s.in_off[vi]; it < s.in_off[vi + 1]; ++it) { + const auto a = static_cast(s.in_arc[static_cast(it)]); + const auto u = static_cast(s.tail[a]); + if (s.fwd[u] == 0) continue; + dv = std::min(dv, s.dist[u] + edge_cost[static_cast(s.edge[a])]); + } + if (dv == kUnreachable) continue; + s.fwd[vi] = 1; + s.dist[vi] = dv; + } + if (s.fwd[vi] != 0 && is_dst(v)) best = std::min(best, s.dist[vi]); + } + *cost = best; + } + // Members: the arcs from a reached tail to a head that reaches a destination, ascending. + s.member_arc.clear(); + for (std::size_t a = 0; a < k; ++a) { + if (s.fwd[static_cast(s.tail[a])] != 0 && s.state[static_cast(s.head[a])] == 2) { + s.member_arc.push_back(static_cast(a)); + } + } + const std::size_t num_members = s.member_arc.size(); + if (num_members == 0) return; + plan.members.reserve(num_members); + for (std::int32_t a : s.member_arc) plan.members.push_back(s.edge[static_cast(a)]); + // Positions: the postorder restricted to reached nodes; the source precedes every node it + // reaches, so it is first. + s.position.assign(n, -1); + std::int32_t num_pos = 0; + for (std::int32_t v : s.order) { + if (s.fwd[static_cast(v)] != 0) s.position[static_cast(v)] = num_pos++; + } + if (s.position[0] != 0) throw std::logic_error("kernel plan: the split graph does not start at its source"); + s.first.assign(n, -1); + s.count.assign(n, 0); + for (std::size_t m = 0; m < num_members; ++m) { + const auto t = static_cast(s.tail[static_cast(s.member_arc[m])]); + if (s.count[t] == 0) { + s.first[t] = static_cast(m); + } else if (static_cast(s.first[t] + s.count[t]) != m) { + throw std::logic_error("kernel plan: the members of a node are not consecutive (EdgeIds not in B' order)"); + } + ++s.count[t]; + } + const auto P = static_cast(num_pos); + plan.topo.reserve(P); + plan.terminal.reserve(P); + plan.out_begin.reserve(P); + plan.out_end.reserve(P); + for (std::int32_t v : s.order) { + const auto vi = static_cast(v); + if (s.fwd[vi] == 0) continue; + plan.topo.push_back(map.nodes()[vi]); + plan.terminal.push_back(is_dst(v) ? 1 : 0); + const std::int32_t b = s.count[vi] == 0 ? 0 : s.first[vi]; + plan.out_begin.push_back(b); + plan.out_end.push_back(b + s.count[vi]); + } + plan.head_pos.resize(num_members); + for (std::size_t m = 0; m < num_members; ++m) { + plan.head_pos[m] = s.position[static_cast(s.head[static_cast(s.member_arc[m])])]; + } + plan.src_out_begin = plan.out_begin[0]; + plan.src_out_end = plan.out_end[0]; +} + +// Per-thread per-node state of build_split_dag, indexed by NodeId and valid for a node only +// when its stamp is the current epoch (no clearing between calls; a call that throws leaves stale +// entries behind an old epoch). One array of slots, so growing it either succeeds whole or leaves +// the previous array in place (review-1b-fixes N1: separately grown arrays could be left at +// different sizes by a failed allocation). +struct DagScratch { + struct Node { + std::uint32_t stamp {0}; + std::uint8_t state {0}; // backward DFS: 1 open, 2 done (reaches a destination) + std::uint8_t fwd {0}; // reached from the source + std::uint8_t target {0}; // a destination + std::int32_t position {0}; + std::int32_t first {0}; // the node's first member + std::int32_t count {0}; // the node's number of members + Cost dist {0}; + }; + std::uint32_t epoch {0}; + std::vector node; + std::vector order; + std::vector> stack; + std::vector member_tail; + std::vector member_head; + + void begin(std::size_t n) { + if (node.size() < n) node.resize(n); // strong guarantee; new slots carry stamp 0 + if (++epoch == 0) { + for (auto& v : node) v.stamp = 0; + epoch = 1; + } + } + [[nodiscard]] bool seen(NodeId v) const noexcept { return node[static_cast(v)].stamp == epoch; } + Node& at(NodeId v) noexcept { return node[static_cast(v)]; } + void touch(NodeId v) noexcept { + auto& x = at(v); + x = Node {}; + x.stamp = epoch; + } +}; + +DagScratch& dag_scratch() { + thread_local DagScratch s; + return s; +} + +// build_split over a PredDAG, on the DAG's own predecessor lists (no local renumbering, no +// arc arrays, no CSR to build): the same members and structure as build_split over the DAG's +// ascending edge set. `keep(e)` filters edges. +template +void build_split_dag(const StrictMultiDiGraph& g, const PredDAG& dag, NodeId src, std::span dsts, + Keep keep, KernelPlan& plan, Cost* cost) { + plan.members.clear(); + plan.topo.clear(); + plan.terminal.clear(); + plan.out_begin.clear(); + plan.out_end.clear(); + plan.head_pos.clear(); + plan.src_out_begin = 0; + plan.src_out_end = 0; + if (cost != nullptr) *cost = kUnreachable; + const auto off = dag.parent_offsets(); + const auto parents = dag.parents(); + const auto via = dag.via_edges(); + DagScratch& s = dag_scratch(); + s.begin(static_cast(g.num_nodes())); + for (NodeId d : dsts) { + s.touch(d); + s.at(d).target = 1; + } + if (!s.seen(src)) s.touch(src); + auto is_dst = [&](NodeId u) { return s.seen(u) && s.at(u).target != 0; }; + // Backward DFS from the destinations, postorder (every node after all of its parents), over + // the entries (u, e) that `keep` accepts and whose parent is not a destination. + s.order.clear(); + for (NodeId d : dsts) { + if (s.at(d).state != 0) continue; + s.at(d).state = 1; + s.stack.clear(); + s.stack.emplace_back(d, off[static_cast(d)]); + while (!s.stack.empty()) { + const auto [v, k] = s.stack.back(); + if (k < off[static_cast(v) + 1]) { + s.stack.back().second = k + 1; + const auto ki = static_cast(k); + const NodeId u = parents[ki]; + if (is_dst(u) || !keep(via[ki])) continue; + if (!s.seen(u)) s.touch(u); + const auto su = s.at(u).state; + if (su == 0) { + s.at(u).state = 1; + s.stack.emplace_back(u, off[static_cast(u)]); + } else if (su == 1) { + throw std::logic_error("kernel plan: the route is cyclic"); + } + } else { + s.at(v).state = 2; + s.order.push_back(v); + s.stack.pop_back(); + } + } + } + // Forward over the postorder, with the cost DP when asked. + const auto edge_cost = g.cost(); + Cost best = kUnreachable; + if (s.at(src).state == 2) { + s.at(src).fwd = 1; + s.at(src).dist = 0; + } + for (NodeId v : s.order) { + const auto vi = static_cast(v); + auto& nv = s.at(v); + if (v != src) { + Cost dv = kUnreachable; + bool reached = false; + for (auto k = off[vi]; k < off[vi + 1]; ++k) { + const auto ki = static_cast(k); + const NodeId u = parents[ki]; + if (!s.seen(u)) continue; + const auto& nu = s.at(u); + if (nu.fwd == 0 || nu.target != 0 || !keep(via[ki])) continue; + reached = true; + if (cost == nullptr) break; + dv = std::min(dv, nu.dist + edge_cost[static_cast(via[ki])]); + } + if (!reached) continue; + nv.fwd = 1; + nv.dist = dv; + } + if (cost != nullptr && nv.fwd != 0 && nv.target != 0) best = std::min(best, nv.dist); + } + if (cost != nullptr) *cost = best; + // Members, ascending: the DAG's edges kept, from a reached tail (not a destination) to a head + // that reaches a destination. + const auto edge_src = g.edge_src(); + const auto edge_dst = g.edge_dst(); + s.member_tail.clear(); + s.member_head.clear(); + for (EdgeId e : PredDAGBuilder::ascending(dag)) { + const auto ei = static_cast(e); + const NodeId u = edge_src[ei]; + const NodeId v = edge_dst[ei]; + if (!s.seen(u) || s.at(u).fwd == 0 || s.at(u).target != 0) continue; + if (!s.seen(v) || s.at(v).state != 2 || !keep(e)) continue; + plan.members.push_back(e); + s.member_tail.push_back(u); + s.member_head.push_back(v); + } + const std::size_t num_members = plan.members.size(); + if (num_members == 0) return; + std::int32_t num_pos = 0; + for (NodeId v : s.order) { + if (s.at(v).fwd != 0) s.at(v).position = num_pos++; + } + if (s.at(src).position != 0) { + throw std::logic_error("kernel plan: the split graph does not start at its source"); + } + for (std::size_t m = 0; m < num_members; ++m) { + auto& nt = s.at(s.member_tail[m]); + if (nt.count == 0) { + nt.first = static_cast(m); + } else if (static_cast(nt.first + nt.count) != m) { + throw std::logic_error("kernel plan: the members of a node are not consecutive (EdgeIds not in B' order)"); + } + ++nt.count; + } + const auto P = static_cast(num_pos); + plan.topo.reserve(P); + plan.terminal.reserve(P); + plan.out_begin.reserve(P); + plan.out_end.reserve(P); + for (NodeId v : s.order) { + const auto& nv = s.at(v); + if (nv.fwd == 0) continue; + plan.topo.push_back(v); + plan.terminal.push_back(nv.target); + const std::int32_t b = nv.count == 0 ? 0 : nv.first; + plan.out_begin.push_back(b); + plan.out_end.push_back(b + nv.count); + } + plan.head_pos.resize(num_members); + for (std::size_t m = 0; m < num_members; ++m) { + plan.head_pos[m] = s.at(s.member_head[m]).position; + } + plan.src_out_begin = plan.out_begin[0]; + plan.src_out_end = plan.out_end[0]; +} + +// The minimum walk cost from the source to a terminal over a split structure (positions in +// topological order, the source first). +Cost split_cost(const StrictMultiDiGraph& g, const KernelPlan& plan) { + if (plan.members.empty()) return kUnreachable; + const auto cost = g.cost(); + thread_local std::vector dist; + dist.assign(plan.topo.size(), kUnreachable); + dist[0] = 0; + Cost best = kUnreachable; + for (std::size_t p = 0; p < plan.topo.size(); ++p) { + if (dist[p] == kUnreachable) continue; + if (plan.terminal[p] != 0) { + best = std::min(best, dist[p]); + continue; + } + for (auto k = plan.out_begin[p]; k < plan.out_end[p]; ++k) { + const auto m = static_cast(k); + const auto h = static_cast(plan.head_pos[m]); + dist[h] = std::min(dist[h], dist[p] + cost[static_cast(plan.members[m])]); + } + } + return best; +} + +} // namespace + +std::vector prune(const StrictMultiDiGraph& g, std::span edges, NodeId src, + std::span dsts) { + std::vector sorted; + if (!std::is_sorted(edges.begin(), edges.end())) { + sorted.assign(edges.begin(), edges.end()); + std::sort(sorted.begin(), sorted.end()); + edges = sorted; + } + KernelPlan plan; + build_split(g, edges, src, dsts, [](std::size_t, EdgeId) { return true; }, plan); + return std::move(plan.members); +} + +KernelPlan make_plan(const StrictMultiDiGraph& g, FlowPlacement placement, Admission admission, EdgePriority priority, + NodeId src, std::span dsts, std::span route, + std::span creation_view) { + check_kernel(placement, admission, priority); + if (!std::is_sorted(route.begin(), route.end())) throw std::logic_error("make_plan: the route is not ascending"); + const bool by_view = placement == FlowPlacement::Weighted && priority == EdgePriority::Residual; + if (by_view && creation_view.size() != route.size()) { + throw std::logic_error("make_plan: the creation view is not route-aligned"); + } + const auto capacity = g.capacity_units(); + KernelPlan plan; + plan.placement = placement; + plan.admission = admission; + plan.priority = priority; + plan.src = src; + plan.dsts.assign(dsts.begin(), dsts.end()); + plan.route.assign(route.begin(), route.end()); + // Membership: MaxFlow every route edge (its view decides), Weighted Residual creation view + // >= 1 unit, every other kernel static capacity >= 1 unit. + auto member = [&](std::size_t i, EdgeId e) { + if (by_view) return creation_view[i] >= 1; + return placement == FlowPlacement::MaxFlow || capacity[static_cast(e)] >= 1; + }; + build_split(g, route, src, dsts, member, plan); + if (placement == FlowPlacement::Weighted) { + plan.weights.reserve(plan.members.size()); + std::size_t i = 0; + for (EdgeId e : plan.members) { + if (by_view) { + while (route[i] != e) ++i; // members are a subsequence of the route + plan.weights.push_back(creation_view[i]); + } else { + plan.weights.push_back(capacity[static_cast(e)]); + } + } + } + return plan; +} + +KernelPlan make_route_plan(const StrictMultiDiGraph& g, FlowPlacement placement, Admission admission, + EdgePriority priority, NodeId src, std::span dsts, const PredDAG& bundle, + const Eligibility* elig, Cost* cost) { + check_kernel(placement, admission, priority); + const auto capacity = g.capacity_units(); + KernelPlan plan; + plan.placement = placement; + plan.admission = admission; + plan.priority = priority; + plan.src = src; + plan.dsts.assign(dsts.begin(), dsts.end()); + auto usable = [&](EdgeId e) { + return capacity[static_cast(e)] >= 1 && (elig == nullptr || elig->edge_ok(e)); + }; + build_split_dag(g, bundle, src, dsts, usable, plan, cost); + plan.route = plan.members; + if (placement == FlowPlacement::Weighted && priority == EdgePriority::Capacity) { + plan.weights.reserve(plan.members.size()); + for (EdgeId e : plan.members) plan.weights.push_back(capacity[static_cast(e)]); + } + return plan; +} + +Cost route_cost(const StrictMultiDiGraph& g, const KernelPlan& plan) { + // The bundle's minimum walk cost (APPROACH 8, rule 12): over the route (the record's + // bundle), not the split graph, so a Weighted plan whose membership excludes a zero-residual + // edge keeps its route's cost. members == route (members are a subset): the plan's own + // structure serves. + if (plan.route.empty()) return kUnreachable; + if (plan.members.size() == plan.route.size()) return split_cost(g, plan); + KernelPlan whole; + Cost cost = kUnreachable; + build_split(g, plan.route, plan.src, plan.dsts, [](std::size_t, EdgeId) { return true; }, whole, &cost); + return cost; +} + +// ---------------------------------------------------------------- allocation + +bool allocate(const KernelPlan& plan, Amount total, std::span out, std::span limit) { + std::fill(out.begin(), out.end(), 0); + if (total == 0 || plan.members.empty()) { + if (total != 0) throw std::logic_error("allocate: an empty split graph carries nothing"); + return true; + } + const bool weighted = plan.placement == FlowPlacement::Weighted; + const bool limited = !limit.empty(); + thread_local std::vector inflow; + inflow.assign(plan.topo.size(), 0); + inflow[0] = total; + for (std::size_t p = 0; p < plan.topo.size(); ++p) { + const Amount amount = inflow[p]; + if (amount == 0 || plan.terminal[p] != 0) continue; + const auto b = static_cast(plan.out_begin[p]); + const auto e = static_cast(plan.out_end[p]); + const std::size_t k = e - b; + if (weighted) { + highest_averages(amount, std::span(plan.weights.data() + b, k), out.subspan(b, k)); + for (std::size_t m = b; m < e; ++m) { + const Amount x = out[m]; + if (limited && x > limit[m]) return false; + inflow[static_cast(plan.head_pos[m])] += x; + } + } else { + // Round robin inline: floor(amount / k) each, one more to the first amount mod k. + const auto kk = static_cast(k); + const Amount base = amount / kk; + const auto extra = b + static_cast(amount % kk); + const std::size_t used = base == 0 ? extra : e; // members beyond carry 0 + for (std::size_t m = b; m < used; ++m) { + const Amount x = base + (m < extra ? 1 : 0); + if (limited && x > limit[m]) return false; + out[m] = x; + inflow[static_cast(plan.head_pos[m])] += x; + } + } + } + return true; +} + +namespace { + +// A floating-point estimate of T_max: the fraction f of the source's inflow that each member +// carries under the plan's split (1/k per round-robin member, w/W per Weighted member), then +// min over members of view / f. It only chooses the first probe of the exact search below +// (APPROACH 7, revision 26: approximate arithmetic may choose probes, nothing else). +double estimate_t_max(const KernelPlan& plan, std::span view_m) { + thread_local std::vector f; + f.assign(plan.topo.size(), 0.0); + f[0] = 1.0; + const bool weighted = plan.placement == FlowPlacement::Weighted; + double best = std::numeric_limits::infinity(); + for (std::size_t p = 0; p < plan.topo.size(); ++p) { + if (f[p] == 0.0 || plan.terminal[p] != 0) continue; + const auto b = static_cast(plan.out_begin[p]); + const auto e = static_cast(plan.out_end[p]); + double wsum = 0.0; + if (weighted) { + for (std::size_t m = b; m < e; ++m) wsum += static_cast(plan.weights[m]); + } + for (std::size_t m = b; m < e; ++m) { + const double share = weighted ? f[p] * static_cast(plan.weights[m]) / wsum + : f[p] / static_cast(e - b); + if (share <= 0.0) continue; + best = std::min(best, static_cast(view_m[m]) / share); + f[static_cast(plan.head_pos[m])] += share; + } + } + return best; +} + +constexpr std::int32_t kProbeBudget = 62; // a plain bisection over units below 2^62 + +// The largest T in [lo, hi) whose allocation fits view_m, given that alloc(lo) fits and alloc(hi) +// does not (APPROACH 7 and 16.3, revision 26). fits(T) is exact (integer allocation compared +// member by member with the view) and monotone in T (the allocation is non-decreasing member by +// member: house monotonicity), so the result is exact whatever probes are taken. The probes: one +// at the floating-point estimate (the only approximate arithmetic, which chooses that probe and +// nothing else), then a galloping bracket, then bisection; both bracket ends are always exact +// probe results (or the given ends). The number of probes stays within kProbeBudget = 62, the +// bound of a plain bisection: a seed or galloping probe is taken only while the probes made so +// far, that probe and a worst-case bisection of the current bracket fit in the budget; the bound +// is checked on return. With `best`, every fitting probe's allocation is kept there (swapped in), +// so on return it holds alloc(result) whenever result > the given lo. +Amount largest_fit(const KernelPlan& plan, std::span view_m, Amount lo, Amount hi, + std::vector& probe, std::vector* best, std::int32_t& probes) { + auto fits = [&](Amount t) { + ++probes; + if (!allocate(plan, t, probe, view_m)) return false; + if (best != nullptr) std::swap(probe, *best); + return true; + }; + auto bisection_steps = [](Amount a, Amount b) { // probes a plain bisection of (a, b) needs + return static_cast(std::bit_width(static_cast(b - a - 1))); + }; + const std::int32_t start = probes; + auto spare = [&](Amount a, Amount b) { return kProbeBudget - (probes - start) - bisection_steps(a, b) - 1; }; + if (hi - lo > 2 && spare(lo, hi) >= 0) { + const double est = estimate_t_max(plan, view_m); + Amount t = lo + 1; + if (est > static_cast(lo) + 1.0) { + t = est >= static_cast(hi) - 1.0 ? hi - 1 : static_cast(est); + } + if (fits(t)) { + lo = t; + for (Amount step = 1; hi - lo > 1 && spare(lo, hi) >= 0; step *= 2) { + const Amount next = hi - lo > step ? lo + step : hi - 1; + if (fits(next)) { + lo = next; + } else { + hi = next; + break; + } + } + } else { + hi = t; + for (Amount step = 1; hi - lo > 1 && spare(lo, hi) >= 0; step *= 2) { + const Amount next = hi - lo > step ? hi - step : lo + 1; + if (fits(next)) { + lo = next; + break; + } + hi = next; + } + } + } + while (hi - lo > 1) { + const Amount mid = lo + (hi - lo) / 2; + if (fits(mid)) { + lo = mid; + } else { + hi = mid; + } + } + if (probes - start > kProbeBudget) { + throw std::logic_error("T_max search: " + std::to_string(probes - start) + " probes, above the bisection bound 62"); + } + return lo; +} + +std::vector& probe_scratch(std::size_t size) { + thread_local std::vector v; + v.resize(size); + return v; +} + +} // namespace + +TMax t_max(const KernelPlan& plan, std::span view_m) { + TMax out; + if (plan.members.empty()) return out; + Amount hi = 0; + for (auto k = plan.src_out_begin; k < plan.src_out_end; ++k) hi += view_m[static_cast(k)]; + auto& probe = probe_scratch(plan.members.size()); + // alloc(hi) fits only when every member can take it; else search below hi (the search's + // probes are counted, this one is not, like the target probe of a Lossless step). + if (allocate(plan, hi, probe, view_m)) { + out.value = hi; + return out; + } + out.value = largest_fit(plan, view_m, 0, hi, probe, nullptr, out.iterations); + return out; +} + +LosslessStep lossless_step(const StrictMultiDiGraph& g, const KernelPlan& plan, Amount total, + std::span view_m, std::span own_m, + std::optional request) { + if (plan.admission != Admission::Lossless) throw std::logic_error("lossless_step on a Lossy plan"); + LosslessStep out; + if (plan.placement == FlowPlacement::MaxFlow) { + // A fresh solve on the replacement view (own_m is part of view_m, so the flow's own + // allocation is cancellable; other owners are not in the view). + const std::optional cap = request.has_value() ? std::optional(total + *request) : std::nullopt; + const NodeId src[1] = {plan.src}; + auto r = solve_subset(g, plan.members, view_m, src, plan.dsts, cap); + if (r.placed < total) throw std::logic_error("MaxFlow kernel: the replacement solve lost committed flow"); + out.total = r.placed; + out.alloc = std::move(r.flows); + return out; + } + if (plan.members.empty()) { + out.alloc.assign(own_m.begin(), own_m.end()); + out.total = total; + return out; + } + Amount hi = 0; + for (auto k = plan.src_out_begin; k < plan.src_out_end; ++k) hi += view_m[static_cast(k)]; + const Amount target = request.has_value() ? std::min(total + *request, hi) : hi; + if (target <= total) { + out.total = total; + out.alloc.assign(own_m.begin(), own_m.end()); + return out; + } + out.alloc.assign(plan.members.size(), 0); + if (allocate(plan, target, out.alloc, view_m)) { + out.total = target; + return out; + } + // T_max in [total, target - 1]: alloc(total) = own_m fits, alloc(target) does not. Every + // fitting probe leaves its allocation in out.alloc, so a result above total needs no further + // evaluation. + auto& probe = probe_scratch(plan.members.size()); + const Amount lo = largest_fit(plan, view_m, total, target, probe, &out.alloc, out.iterations); + out.total = lo; + if (lo == total) out.alloc.assign(own_m.begin(), own_m.end()); + return out; +} + +LossyStep lossy_step(const KernelPlan& plan, std::optional offer, std::span w_m) { + if (plan.admission != Admission::Lossy) throw std::logic_error("lossy_step on a Lossless plan"); + LossyStep out; + out.carried.assign(plan.members.size(), 0); + out.drops.assign(plan.members.size(), 0); + if (plan.members.empty() || plan.src_out_begin == plan.src_out_end) { + out.offered = offer.value_or(0); + return out; + } + const bool weighted = plan.placement == FlowPlacement::Weighted; + thread_local std::vector inflow; + thread_local std::vector part; + inflow.assign(plan.topo.size(), 0); + for (std::size_t p = 0; p < plan.topo.size(); ++p) { + if (plan.terminal[p] != 0) continue; + const auto b = static_cast(plan.out_begin[p]); + const auto e = static_cast(plan.out_end[p]); + const std::size_t k = e - b; + part.resize(k); + Amount amount = p == 0 ? offer.value_or(0) : inflow[p]; + if (p == 0 && !offer.has_value()) { + for (std::size_t i = 0; i < k; ++i) part[i] = w_m[b + i]; + } else { + if (amount == 0) continue; + if (weighted) { + highest_averages(amount, std::span(plan.weights.data() + b, k), std::span(part.data(), k)); + } else { + round_robin(amount, std::span(part.data(), k)); + } + } + for (std::size_t i = 0; i < k; ++i) { + const Amount x = part[i]; + if (p == 0) out.injected += x; + if (x == 0) continue; + const auto m = b + i; + const Amount c = std::min(x, w_m[m]); + out.carried[m] = c; + out.drops[m] = x - c; + inflow[static_cast(plan.head_pos[m])] += c; + } + } + for (std::size_t p = 0; p < plan.topo.size(); ++p) { + if (plan.terminal[p] != 0) out.delivered += inflow[p]; + } + out.offered = offer.has_value() ? *offer : out.injected; + return out; +} + +} // namespace netgraph::core::detail diff --git a/src/max_flow.cpp b/src/max_flow.cpp index 13913d5..c77fb90 100644 --- a/src/max_flow.cpp +++ b/src/max_flow.cpp @@ -38,6 +38,9 @@ #include #include +#include "netgraph/core/detail/flow_core.hpp" +#include "netgraph/core/detail/node_map.hpp" + namespace netgraph::core { namespace { @@ -105,45 +108,56 @@ class RadixHeap { std::size_t size_ {0}; }; +// The input of one solve in local coordinates: real vertices 0..num_nodes-1, the arcs of the +// active edges in ascending EdgeId (tail, head, cost and capacity per edge), and the endpoint +// sets as local vertices listed in ascending original NodeId. +struct SolveInput { + std::int32_t num_nodes {0}; + std::vector edges {}; + std::vector tail {}; + std::vector head {}; + std::vector cost {}; + std::vector cap {}; + std::vector sources {}; + std::vector destinations {}; +}; + // The residual network of one solve: real vertices 0..N-1, s* = N, t* = N + 1. Arcs are stored // as slots in adjacency order (the slots of u are [off_[u], off_[u + 1])), each with its head, // its cost, its residual and the slot of its partner arc. class Solver { public: - Solver(const StrictMultiDiGraph& g, std::span view, const std::vector& srcs, - const std::vector& dsts, const Eligibility* elig) - : g_(g), n_(g.num_nodes() + 2), s_(g.num_nodes()), t_(g.num_nodes() + 1) { - const auto num_edges = static_cast(g.num_edges()); - const auto edge_src = g.edge_src(); - const auto edge_dst = g.edge_dst(); - const auto cost = g.cost(); - active_.reserve(num_edges); - for (std::size_t e = 0; e < num_edges; ++e) { - if (elig == nullptr || elig->edge_ok(static_cast(e))) active_.push_back(static_cast(e)); - } - for (NodeId s : srcs) { - if (elig == nullptr || elig->node_ok(s)) srcs_.push_back(s); - } - for (NodeId d : dsts) { - if (elig == nullptr || elig->node_ok(d)) dsts_.push_back(d); - } + // One reusable instance per thread (`local()`): init() resizes every buffer for the input, + // keeping capacity across calls, so repeated solves do not allocate once warm. Not + // reentrant (a solve never starts another). + static Solver& local() { + thread_local Solver solver; + return solver; + } + + void init(const SolveInput& in) { + in_ = ∈ + n_ = in.num_nodes + 2; + s_ = in.num_nodes; + t_ = in.num_nodes + 1; + mark_epoch_ = 0; const auto n = static_cast(n_); off_.assign(n + 1, 0); auto deg = [&](std::int32_t v) { ++off_[static_cast(v) + 1]; }; - for (EdgeId e : active_) { - deg(edge_src[static_cast(e)]); - deg(edge_dst[static_cast(e)]); + for (std::size_t k = 0; k < in.edges.size(); ++k) { + deg(in.tail[k]); + deg(in.head[k]); } - for (NodeId s : srcs_) { deg(s); deg(s_); } - for (NodeId d : dsts_) { deg(d); deg(t_); } + for (std::int32_t s : in.sources) { deg(s); deg(s_); } + for (std::int32_t d : in.destinations) { deg(d); deg(t_); } for (std::size_t v = 0; v < n; ++v) off_[v + 1] += off_[v]; const auto num_slots = static_cast(off_[n]); head_.resize(num_slots); rev_.resize(num_slots); cost_.resize(num_slots); res_.resize(num_slots); - std::vector pos(off_.begin(), off_.end() - 1); - auto take = [&](std::int32_t v) { return pos[static_cast(v)]++; }; + pos_.assign(off_.begin(), off_.end() - 1); + auto take = [&](std::int32_t v) { return pos_[static_cast(v)]++; }; auto link = [&](std::int32_t a, std::int32_t to_a, Amount cap, Cost w, std::int32_t b, std::int32_t to_b) { const auto ai = static_cast(a); const auto bi = static_cast(b); @@ -158,21 +172,25 @@ class Solver { }; // Virtual arcs first at the real endpoints, then the real arcs by ascending EdgeId (forward // slot at the tail, reverse slot at the head), then the slots of s* and t*. - std::vector src_rev(srcs_.size()), dst_fwd(dsts_.size()); - for (std::size_t i = 0; i < srcs_.size(); ++i) src_rev[i] = take(srcs_[i]); - for (std::size_t i = 0; i < dsts_.size(); ++i) dst_fwd[i] = take(dsts_[i]); - edge_slot_.resize(active_.size()); - for (std::size_t k = 0; k < active_.size(); ++k) { - const auto ei = static_cast(active_[k]); - const NodeId u = edge_src[ei]; - const NodeId v = edge_dst[ei]; + src_rev_.resize(in.sources.size()); + dst_fwd_.resize(in.destinations.size()); + for (std::size_t i = 0; i < in.sources.size(); ++i) src_rev_[i] = take(in.sources[i]); + for (std::size_t i = 0; i < in.destinations.size(); ++i) dst_fwd_[i] = take(in.destinations[i]); + edge_slot_.resize(in.edges.size()); + for (std::size_t k = 0; k < in.edges.size(); ++k) { + const std::int32_t u = in.tail[k]; + const std::int32_t v = in.head[k]; const std::int32_t fwd = take(u); const std::int32_t bwd = take(v); - link(fwd, v, view[ei], cost[ei], bwd, u); + link(fwd, v, in.cap[k], in.cost[k], bwd, u); edge_slot_[k] = fwd; } - for (std::size_t i = 0; i < srcs_.size(); ++i) link(take(s_), srcs_[i], kMaxFlowCap, 0, src_rev[i], s_); - for (std::size_t i = 0; i < dsts_.size(); ++i) link(dst_fwd[i], t_, kMaxFlowCap, 0, take(t_), dsts_[i]); + for (std::size_t i = 0; i < in.sources.size(); ++i) { + link(take(s_), in.sources[i], kMaxFlowCap, 0, src_rev_[i], s_); + } + for (std::size_t i = 0; i < in.destinations.size(); ++i) { + link(dst_fwd_[i], t_, kMaxFlowCap, 0, take(t_), in.destinations[i]); + } pi_.assign(n, 0); ever_.assign(n, 0); dist_.resize(n); @@ -181,8 +199,23 @@ class Solver { cur_.resize(n); } - FlowCoreResult run(std::span view, Amount limit) { - FlowCoreResult out; + // The solve to the cap or to disconnection. Output in local coordinates: `flows` aligned with + // the input edges, `cut` as input edge indices (positive capacity, from the full residual + // closure of the real sources to its complement, ascending EdgeId) when the destinations are + // outside the closure, potentials per local vertex (kNeverReached when never settled). + struct Output { + Amount placed {0}; + std::vector> cost_distribution {}; + std::vector flows {}; + std::optional> cut {}; + std::vector potentials {}; + FlowCoreCounters counters {}; + }; + + // `closure` adds the cut; `potentials` the per-vertex potentials (the edge-subset entry + // needs neither). + Output run(Amount limit, bool closure, bool potentials = true) { + Output out; auto& c = out.counters; Amount total = 0; while (total < limit) { @@ -213,47 +246,47 @@ class Solver { } out.placed = total; - const auto num_edges = static_cast(g_.num_edges()); - out.edge_flows.assign(num_edges, 0); - for (std::size_t k = 0; k < active_.size(); ++k) { + out.flows.resize(in_->edges.size()); + for (std::size_t k = 0; k < in_->edges.size(); ++k) { const auto fwd = static_cast(edge_slot_[k]); - out.edge_flows[static_cast(active_[k])] = res_[static_cast(rev_[fwd])]; + out.flows[k] = res_[static_cast(rev_[fwd])]; } - // Full residual closure seeded at the real sources (reverse and virtual arcs included). - std::vector seen(static_cast(n_), 0); - std::vector queue; - queue.reserve(static_cast(n_)); - for (NodeId s : srcs_) { - seen[static_cast(s)] = 1; - queue.push_back(s); - } - for (std::size_t qi = 0; qi < queue.size(); ++qi) { - const auto u = static_cast(queue[qi]); - for (auto p = off_[u]; p < off_[u + 1]; ++p) { - const auto pi = static_cast(p); - const auto v = static_cast(head_[pi]); - if (res_[pi] > 0 && seen[v] == 0) { - seen[v] = 1; - queue.push_back(static_cast(v)); + if (closure) { + // Full residual closure seeded at the real sources (reverse and virtual arcs included). + std::vector seen(static_cast(n_), 0); + std::vector queue; + queue.reserve(static_cast(n_)); + for (std::int32_t s : in_->sources) { + seen[static_cast(s)] = 1; + queue.push_back(s); + } + for (std::size_t qi = 0; qi < queue.size(); ++qi) { + const auto u = static_cast(queue[qi]); + for (auto p = off_[u]; p < off_[u + 1]; ++p) { + const auto pi = static_cast(p); + const auto v = static_cast(head_[pi]); + if (res_[pi] > 0 && seen[v] == 0) { + seen[v] = 1; + queue.push_back(static_cast(v)); + } } } - } - if (seen[static_cast(t_)] == 0) { - const auto edge_src = g_.edge_src(); - const auto edge_dst = g_.edge_dst(); - std::vector cut; - for (EdgeId e : active_) { - const auto ei = static_cast(e); - if (seen[static_cast(edge_src[ei])] != 0 && - seen[static_cast(edge_dst[ei])] == 0 && view[ei] > 0) { - cut.push_back(e); + if (seen[static_cast(t_)] == 0) { + std::vector cut; + for (std::size_t k = 0; k < in_->edges.size(); ++k) { + if (seen[static_cast(in_->tail[k])] != 0 && seen[static_cast(in_->head[k])] == 0 && + in_->cap[k] > 0) { + cut.push_back(static_cast(k)); + } } + out.cut = std::move(cut); } - out.min_cut = std::move(cut); } - out.potentials.resize(static_cast(g_.num_nodes())); - for (std::size_t v = 0; v < out.potentials.size(); ++v) { - out.potentials[v] = ever_[v] != 0 ? pi_[v] : kNeverReached; + if (potentials) { + out.potentials.resize(static_cast(in_->num_nodes)); + for (std::size_t v = 0; v < out.potentials.size(); ++v) { + out.potentials[v] = ever_[v] != 0 ? pi_[v] : kNeverReached; + } } return out; } @@ -388,13 +421,13 @@ class Solver { return false; } - const StrictMultiDiGraph& g_; - std::int32_t n_; - std::int32_t s_; - std::int32_t t_; - std::vector active_ {}; - std::vector srcs_ {}; - std::vector dsts_ {}; + const SolveInput* in_ {nullptr}; + std::int32_t n_ {0}; + std::int32_t s_ {0}; + std::int32_t t_ {0}; + std::vector pos_ {}; + std::vector src_rev_ {}; + std::vector dst_fwd_ {}; std::vector off_ {}; std::vector head_ {}; std::vector rev_ {}; @@ -458,8 +491,91 @@ FlowCoreResult place_global_units(const StrictMultiDiGraph& g, out.potentials.assign(static_cast(g.num_nodes()), kNeverReached); return out; } - Solver solver(g, view, srcs, dsts, elig); - return solver.run(view, cap.value_or(kUncapped)); + // Identity coordinates: every real vertex, the allowed edges and endpoints. + SolveInput in; + in.num_nodes = g.num_nodes(); + const auto edge_src = g.edge_src(); + const auto edge_dst = g.edge_dst(); + const auto cost = g.cost(); + in.edges.reserve(num_edges); + for (std::size_t e = 0; e < num_edges; ++e) { + if (elig != nullptr && !elig->edge_ok(static_cast(e))) continue; + in.edges.push_back(static_cast(e)); + in.tail.push_back(edge_src[e]); + in.head.push_back(edge_dst[e]); + in.cost.push_back(cost[e]); + in.cap.push_back(view[e]); + } + for (NodeId s : srcs) { + if (elig == nullptr || elig->node_ok(s)) in.sources.push_back(s); + } + for (NodeId d : dsts) { + if (elig == nullptr || elig->node_ok(d)) in.destinations.push_back(d); + } + Solver& solver = Solver::local(); + solver.init(in); + auto r = solver.run(cap.value_or(kUncapped), /*closure=*/true); + FlowCoreResult out; + out.placed = r.placed; + out.cost_distribution = std::move(r.cost_distribution); + out.edge_flows.assign(num_edges, 0); + for (std::size_t k = 0; k < in.edges.size(); ++k) { + out.edge_flows[static_cast(in.edges[k])] = r.flows[k]; + } + if (r.cut.has_value()) { + std::vector cut; + cut.reserve(r.cut->size()); + for (std::int32_t k : *r.cut) cut.push_back(in.edges[static_cast(k)]); + out.min_cut = std::move(cut); + } + out.potentials = std::move(r.potentials); + out.counters = r.counters; + return out; +} + +namespace detail { + +SubsetFlow solve_subset(const StrictMultiDiGraph& g, std::span edges, std::span caps, + std::span sources, std::span destinations, + std::optional cap) { + SubsetFlow out; + out.flows.assign(edges.size(), 0); + if (cap.has_value() && *cap == 0) return out; + const auto edge_src = g.edge_src(); + const auto edge_dst = g.edge_dst(); + const auto cost = g.cost(); + // Compressed vertices in first-touch order. The numbering changes no flow, curve or path: + // the arc order at every vertex is by EdgeId (virtual arc first) and the virtual arcs of s* + // and t* follow the endpoint lists, which stay in ascending NodeId. + NodeMap& map = NodeMap::local(); + map.reset(static_cast(g.num_nodes())); + // The input's storage is per thread and reused (every field is rewritten here). + thread_local SolveInput in; + in.edges.assign(edges.begin(), edges.end()); + in.tail.clear(); + in.head.clear(); + in.cost.clear(); + in.sources.clear(); + in.destinations.clear(); + for (EdgeId e : edges) { + const auto ei = static_cast(e); + in.tail.push_back(map.add(edge_src[ei])); + in.head.push_back(map.add(edge_dst[ei])); + in.cost.push_back(cost[ei]); + } + for (NodeId v : sources) in.sources.push_back(map.add(v)); + for (NodeId v : destinations) in.destinations.push_back(map.add(v)); + in.num_nodes = static_cast(map.size()); + in.cap.assign(caps.begin(), caps.end()); + Solver& solver = Solver::local(); + solver.init(in); + auto r = solver.run(cap.value_or(kUncapped), /*closure=*/false, /*potentials=*/false); + out.placed = r.placed; + out.flows = std::move(r.flows); + out.cost_distribution = std::move(r.cost_distribution); + return out; } +} // namespace detail + } // namespace netgraph::core diff --git a/src/pinned_flow.cpp b/src/pinned_flow.cpp new file mode 100644 index 0000000..7888890 --- /dev/null +++ b/src/pinned_flow.cpp @@ -0,0 +1,252 @@ +/* + A Pinned placement with one bundle (the single-flow transaction of sub-PR 1b): the + per-flow kernel steps of detail/kernels.hpp committed through the ledger's internal entry + points, one atomic exchange per call (APPROACH 8, 9.2). +*/ +#include "netgraph/core/detail/pinned_flow.hpp" + +#include +#include +#include + +#include "netgraph/core/detail/ledger_access.hpp" +#include "netgraph/core/detail/pred_dag_builder.hpp" + +namespace netgraph::core::detail { + +PinnedFlow::PinnedFlow(FlowGraph& fg, NodeId src, NodeId dst, std::shared_ptr bundle, + FlowPlacement placement, Admission admission, EdgePriority priority, + std::shared_ptr elig) + : fg_(fg), src_(src), dst_(dst), bundle_(std::move(bundle)), placement_(placement), admission_(admission), + priority_(priority), elig_(std::move(elig)) { + check_kernel(placement, admission, priority); + const auto& g = *fg_.graph(); + for (NodeId v : {src, dst}) { + if (v < 0 || v >= g.num_nodes()) { + throw std::invalid_argument("Pinned: node " + std::to_string(v) + " out of node range [0, " + + std::to_string(g.num_nodes()) + ")"); + } + } + if (src == dst) { + throw std::invalid_argument("node " + std::to_string(src) + + " is in both endpoint sets: sources and destinations must not overlap"); + } + if (!bundle_) throw std::invalid_argument("Pinned: the bundle is null"); + if (bundle_->graph_uid() != g.uid()) throw std::invalid_argument("foreign PredDAG: built for another graph"); + if (elig_ && elig_->graph_uid() != g.uid()) throw std::invalid_argument("foreign Eligibility: built for another graph"); + // The usable route: statically eligible routable members on src -> dst walks. An empty one + // is either all-down (no_route at placement) or malformed (no walk at all: rejected). + const NodeId dsts[1] = {dst}; + const auto edges = PredDAGBuilder::ascending(*bundle_); + route_plan_ = make_route_plan(g, placement, admission, priority, src, dsts, *bundle_, elig_.get(), &route_cost_); + if (route_plan_.route.empty() && prune(g, edges, src, dsts).empty()) { + throw std::invalid_argument("Pinned: malformed bundle, no src -> dst walk (src " + std::to_string(src) + ", dst " + + std::to_string(dst) + ")"); + } + owner_ = LedgerAccess::bind(fg_); + bound_ = true; +} + +PinnedFlow::~PinnedFlow() { release(); } + +void PinnedFlow::release() noexcept { + if (!bound_) return; + LedgerAccess::release(fg_, owner_); + bound_ = false; +} + +void PinnedFlow::check_bound() const { + if (!bound_) throw std::logic_error("Pinned: the policy was released (destroyed)"); +} + +Amount PinnedFlow::placed_demand() const { + check_bound(); + return flow_id_.has_value() ? LedgerAccess::live(fg_, flow_id_->second).delivered : 0; +} + +void PinnedFlow::remove() { + check_bound(); + (void)LedgerAccess::detach(fg_, owner_); + flow_id_.reset(); + plan_ = nullptr; + captured_.reset(); + total_ = 0; + requested_ = Counter128 {}; + infinite_ = false; +} + +namespace { + +// Member index of e in the ascending member list (members contain every allocated edge). +std::size_t member_index(const std::vector& members, EdgeId e) { + const auto it = std::lower_bound(members.begin(), members.end(), e); + if (it == members.end() || *it != e) throw std::logic_error("Pinned: an allocation outside the split graph"); + return static_cast(it - members.begin()); +} + +// Per-thread member-aligned buffers of one call (nothing survives a call). +struct CallScratch { + std::vector own; + std::vector working; + std::vector view; + std::vector drops; +}; + +CallScratch& call_scratch() { + thread_local CallScratch s; + return s; +} + +} // namespace + +PinnedResult PinnedFlow::place(std::optional volume) { + check_bound(); + if (volume.has_value() && (*volume < 0 || *volume >= kDomainLimit)) { + throw std::invalid_argument("request " + std::to_string(*volume) + + " is outside [0, 2^62) units (requests are integer units or +inf)"); + } + if (infinite_ && volume.has_value()) { + throw std::invalid_argument( + "a finite request after +inf is rejected within an epoch (the cumulative finite request is undefined; " + "rule 13)"); + } + PinnedResult out; + if (volume.has_value() && *volume == 0) { + out.remaining = 0; + return out; + } + const auto& g = *fg_.graph(); + const auto base = LedgerAccess::baseline(fg_); + const auto held = LedgerAccess::allocated(fg_); + const bool created = !flow_id_.has_value(); + std::optional fresh; + const KernelPlan* plan = plan_; + if (created) { + if (route_plan_.route.empty()) { + // Nothing is created, but the epoch's call state records every positive request + // (the cumulative request and the finite-or-infinite state; APPROACH 8, 9.2). + if (volume.has_value()) { + Counter128 requested = requested_; + if (!requested.add(*volume)) { + throw std::invalid_argument("the cumulative requested counter would reach 2^127"); + } + requested_ = requested; + } else { + infinite_ = true; + } + out.remaining = volume; + out.termination = Termination::NoRoute; + return out; + } + if (placement_ == FlowPlacement::Weighted && priority_ == EdgePriority::Residual) { + // Membership and weights captured on the creation view W (route-aligned). + auto& view = call_scratch().view; + view.clear(); + for (EdgeId e : route_plan_.route) view.push_back(base[static_cast(e)] - held[static_cast(e)]); + const NodeId dsts[1] = {dst_}; + fresh = make_plan(g, placement_, admission_, priority_, src_, dsts, route_plan_.route, view); + plan = &*fresh; + } else { + plan = &route_plan_; + } + } + const auto& members = plan->members; + const FlowRecord* old = flow_id_.has_value() ? &LedgerAccess::live(fg_, flow_id_->second) : nullptr; + CallScratch& scratch = call_scratch(); + auto& own_m = scratch.own; + own_m.assign(members.size(), 0); + if (old != nullptr) { + for (const auto& [e, x] : old->edges) own_m[member_index(members, e)] = x; + } + auto& w_m = scratch.working; + w_m.resize(members.size()); + for (std::size_t m = 0; m < members.size(); ++m) { + const auto e = static_cast(members[m]); + w_m[m] = base[e] - held[e]; + } + + Draft d; + if (flow_id_.has_value()) d.id = flow_id_->second; + d.sources = {src_}; + d.destinations = {dst_}; + d.placement = placement_; + d.admission = admission_; + const Amount delivered0 = old != nullptr ? old->delivered : 0; + bool served = false; + Amount total_after = total_; + if (admission_ == Admission::Lossy) { + const auto step = lossy_step(*plan, volume, w_m); + Counter128 offered = (old != nullptr && old->offered.has_value()) ? *old->offered : Counter128 {}; + if (!offered.add(step.offered)) { + throw std::invalid_argument("the cumulative offered counter would reach 2^127"); + } + d.offered = offered; + auto& drops_m = scratch.drops; + drops_m.assign(members.size(), Counter128 {}); + if (old != nullptr) { + for (const auto& [e, x] : old->drops) drops_m[member_index(members, e)] = x; + } + for (std::size_t m = 0; m < members.size(); ++m) { + if (step.drops[m] == 0) continue; + if (!drops_m[m].add(step.drops[m])) { + throw std::invalid_argument("a cumulative drop counter would reach 2^127"); + } + out.drops.emplace_back(members[m], step.drops[m]); + } + for (std::size_t m = 0; m < members.size(); ++m) { + if (own_m[m] + step.carried[m] != 0) d.edges.emplace_back(members[m], own_m[m] + step.carried[m]); + if (!drops_m[m].is_zero()) d.drops.emplace_back(members[m], drops_m[m]); + } + d.delivered = delivered0 + step.delivered; + served = volume.has_value() && step.injected == *volume; + } else { + auto& v_m = scratch.view; + v_m.resize(members.size()); + for (std::size_t m = 0; m < members.size(); ++m) v_m[m] = w_m[m] + own_m[m]; + const auto step = lossless_step(g, *plan, total_, v_m, own_m, volume); + for (std::size_t m = 0; m < members.size(); ++m) { + if (step.alloc[m] != 0) d.edges.emplace_back(members[m], step.alloc[m]); + } + d.delivered = step.total; + total_after = step.total; + out.iterations = step.iterations; + served = volume.has_value() && step.total - delivered0 == *volume; + } + // The record's bundle is the usable route: the supplied DAG itself when nothing was pruned, + // else one DAG of the route made at the first creation and kept (the route is fixed). + std::shared_ptr route_dag = route_dag_; + if (!route_dag) { + route_dag = route_plan_.route.size() == bundle_->via_edges().size() + ? bundle_ + : std::make_shared(PredDAGBuilder::from_edges(g, route_plan_.route)); + } + d.bundle = route_dag; + d.route_cost = route_cost_; + const Amount delivered = d.delivered; + Counter128 requested = requested_; + if (volume.has_value() && !requested.add(*volume)) { + throw std::invalid_argument("the cumulative requested counter would reach 2^127"); + } + const auto ids = LedgerAccess::commit(fg_, owner_, std::span(&d, 1)); + // Committed: the epoch state follows (nothing below throws). + route_dag_ = std::move(route_dag); + if (created) { + if (fresh.has_value()) { + captured_ = std::move(fresh); + plan_ = &*captured_; + } else { + plan_ = &route_plan_; + } + flow_id_ = ids.front(); + } + total_ = total_after; + requested_ = requested; + if (!volume.has_value()) infinite_ = true; + out.placed = delivered - delivered0; + if (volume.has_value()) out.remaining = *volume - out.placed; + out.termination = served ? Termination::Complete : Termination::Exhausted; + out.routes_changed = created; + return out; +} + +} // namespace netgraph::core::detail diff --git a/src/pred_dag.cpp b/src/pred_dag.cpp new file mode 100644 index 0000000..ec7f1ab --- /dev/null +++ b/src/pred_dag.cpp @@ -0,0 +1,268 @@ +/* + PredDAG and Path (APPROACH 5): immutable, graph-bound route structures validated once at + construction, in the documented order, before any traversal. +*/ +#include "netgraph/core/pred_dag.hpp" + +#include +#include +#include + +#include "netgraph/core/detail/pred_dag_builder.hpp" + +namespace netgraph::core { + +namespace { + +std::string idx(std::size_t i) { return std::to_string(i); } + +} // namespace + +PredDAG PredDAG::from_csr(const StrictMultiDiGraph& g, std::span offsets, + std::span parents, std::span via) { + const auto n = static_cast(g.num_nodes()); + const auto m = static_cast(g.num_edges()); + // Shape: offsets of length N + 1, from 0, monotone, ending at len(parents) == len(via). + if (offsets.size() != n + 1) { + throw std::invalid_argument("PredDAG.from_csr: offsets has length " + idx(offsets.size()) + ", expected N + 1 = " + + idx(n + 1)); + } + if (offsets[0] != 0) { + throw std::invalid_argument("PredDAG.from_csr: offsets[0] = " + std::to_string(offsets[0]) + ", expected 0"); + } + for (std::size_t v = 0; v < n; ++v) { + if (offsets[v + 1] < offsets[v]) { + throw std::invalid_argument("PredDAG.from_csr: offsets are not monotone at " + idx(v + 1) + " (" + + std::to_string(offsets[v]) + " > " + std::to_string(offsets[v + 1]) + ")"); + } + } + const auto total = static_cast(offsets[n]); + if (parents.size() != total || via.size() != total) { + throw std::invalid_argument("PredDAG.from_csr: offsets[N] = " + idx(total) + " but parents has " + + idx(parents.size()) + " and via has " + idx(via.size()) + " entries"); + } + // Entries: ids in range, then each via joining (parent, child). + for (std::size_t k = 0; k < total; ++k) { + if (parents[k] < 0 || static_cast(parents[k]) >= n) { + throw std::invalid_argument("PredDAG.from_csr: parents[" + idx(k) + "] = " + std::to_string(parents[k]) + + " out of node range [0, " + idx(n) + ")"); + } + if (via[k] < 0 || via[k] >= m) { + throw std::invalid_argument("PredDAG.from_csr: via[" + idx(k) + "] = " + std::to_string(via[k]) + + " out of edge range [0, " + std::to_string(m) + ")"); + } + } + const auto edge_src = g.edge_src(); + const auto edge_dst = g.edge_dst(); + for (std::size_t v = 0; v < n; ++v) { + for (auto k = static_cast(offsets[v]); k < static_cast(offsets[v + 1]); ++k) { + const auto e = static_cast(via[k]); + if (edge_src[e] != parents[k] || static_cast(edge_dst[e]) != v) { + throw std::invalid_argument("PredDAG.from_csr: entry " + idx(k) + " of node " + idx(v) + ": via edge " + + idx(e) + " joins (" + std::to_string(edge_src[e]) + ", " + + std::to_string(edge_dst[e]) + "), not (" + std::to_string(parents[k]) + ", " + + idx(v) + ")"); + } + } + } + // No duplicate (child, via): an edge has one child, so a duplicate is a repeated via. + { + std::vector seen(static_cast(m), 0); + for (std::size_t k = 0; k < total; ++k) { + const auto e = static_cast(via[k]); + if (seen[e] != 0) { + throw std::invalid_argument("PredDAG.from_csr: duplicate entry (child " + std::to_string(edge_dst[e]) + + ", via " + idx(e) + ")"); + } + seen[e] = 1; + } + } + // Acyclic: Kahn over the entries (a self-loop is a cycle). + { + std::vector out_count(n + 1, 0); + std::vector indeg(n, 0); + for (std::size_t v = 0; v < n; ++v) { + indeg[v] = offsets[v + 1] - offsets[v]; + for (auto k = static_cast(offsets[v]); k < static_cast(offsets[v + 1]); ++k) { + ++out_count[static_cast(parents[k]) + 1]; + } + } + for (std::size_t v = 0; v < n; ++v) out_count[v + 1] += out_count[v]; + std::vector children(total); + std::vector pos(out_count.begin(), out_count.end() - 1); + for (std::size_t v = 0; v < n; ++v) { + for (auto k = static_cast(offsets[v]); k < static_cast(offsets[v + 1]); ++k) { + children[static_cast(pos[static_cast(parents[k])]++)] = static_cast(v); + } + } + std::vector ready; + for (std::size_t v = 0; v < n; ++v) { + if (indeg[v] == 0) ready.push_back(static_cast(v)); + } + std::size_t done = 0; + while (!ready.empty()) { + const auto u = static_cast(ready.back()); + ready.pop_back(); + ++done; + for (auto k = out_count[u]; k < out_count[u + 1]; ++k) { + const auto c = static_cast(children[static_cast(k)]); + if (--indeg[c] == 0) ready.push_back(static_cast(c)); + } + } + if (done != n) throw std::invalid_argument("PredDAG.from_csr: the entries contain a cycle"); + } + // Canonical form: within a node, ascending via EdgeId. + for (std::size_t v = 0; v < n; ++v) { + for (auto k = static_cast(offsets[v]) + 1; k < static_cast(offsets[v + 1]); ++k) { + if (via[k] <= via[k - 1]) { + throw std::invalid_argument("PredDAG.from_csr: the entries of node " + idx(v) + + " are not in ascending via EdgeId (" + std::to_string(via[k - 1]) + " then " + + std::to_string(via[k]) + ")"); + } + } + } + PredDAG out; + out.graph_uid_ = g.uid(); + out.offsets_.assign(offsets.begin(), offsets.end()); + out.parents_.assign(parents.begin(), parents.end()); + out.via_.assign(via.begin(), via.end()); + out.edges_ = out.via_; + std::sort(out.edges_.begin(), out.edges_.end()); + return out; +} + +namespace detail { + +PredDAG PredDAGBuilder::from_edges(const StrictMultiDiGraph& g, std::span edges) { + const auto n = static_cast(g.num_nodes()); + const auto edge_src = g.edge_src(); + const auto edge_dst = g.edge_dst(); + PredDAG out; + out.graph_uid_ = g.uid(); + out.offsets_.assign(n + 1, 0); + std::vector sorted(edges.begin(), edges.end()); + std::sort(sorted.begin(), sorted.end()); + for (EdgeId e : sorted) ++out.offsets_[static_cast(edge_dst[static_cast(e)]) + 1]; + for (std::size_t v = 0; v < n; ++v) out.offsets_[v + 1] += out.offsets_[v]; + out.parents_.resize(sorted.size()); + out.via_.resize(sorted.size()); + std::vector pos(out.offsets_.begin(), out.offsets_.end() - 1); + for (EdgeId e : sorted) { // ascending: each node's entries stay ascending + const auto ei = static_cast(e); + const auto k = static_cast(pos[static_cast(edge_dst[ei])]++); + out.parents_[k] = edge_src[ei]; + out.via_[k] = e; + } + out.edges_ = std::move(sorted); + return out; +} + +PredDAG PredDAGBuilder::from_children(std::uint64_t graph_uid, const std::vector>& per_child, + const std::vector& parent_of) { + PredDAG out; + out.graph_uid_ = graph_uid; + out.offsets_.assign(per_child.size() + 1, 0); + for (std::size_t v = 0; v < per_child.size(); ++v) { + out.offsets_[v + 1] = out.offsets_[v] + static_cast(per_child[v].size()); + for (EdgeId e : per_child[v]) { + out.parents_.push_back(parent_of[v]); + out.via_.push_back(e); + } + } + out.edges_ = out.via_; + std::sort(out.edges_.begin(), out.edges_.end()); + return out; +} + +std::span PredDAGBuilder::ascending(const PredDAG& dag) noexcept { return dag.edges_; } + +} // namespace detail + +Path::Path(const StrictMultiDiGraph& g, std::vector> hops) { + const auto m = static_cast(g.num_edges()); + // Every member in range before any endpoint is read. + for (std::size_t h = 0; h < hops.size(); ++h) { + for (EdgeId e : hops[h]) { + if (e < 0 || e >= m) { + throw std::invalid_argument("Path: hop " + idx(h) + " member " + std::to_string(e) + + " out of edge range [0, " + std::to_string(m) + ")"); + } + } + } + { + std::vector seen(static_cast(m), 0); + for (const auto& hop : hops) { + for (EdgeId e : hop) { + if (seen[static_cast(e)] != 0) { + throw std::invalid_argument("Path: duplicate member " + std::to_string(e)); + } + seen[static_cast(e)] = 1; + } + } + } + if (hops.empty()) throw std::invalid_argument("Path: the hop list is empty"); + for (std::size_t h = 0; h < hops.size(); ++h) { + if (hops[h].empty()) throw std::invalid_argument("Path: hop " + idx(h) + " is empty"); + } + const auto edge_src = g.edge_src(); + const auto edge_dst = g.edge_dst(); + const auto cost = g.cost(); + for (std::size_t h = 0; h < hops.size(); ++h) { + const auto first = static_cast(hops[h].front()); + for (EdgeId e : hops[h]) { + const auto ei = static_cast(e); + if (edge_src[ei] != edge_src[first] || edge_dst[ei] != edge_dst[first]) { + throw std::invalid_argument("Path: the members of hop " + idx(h) + " do not share (u, v): edge " + + std::to_string(e) + " joins (" + std::to_string(edge_src[ei]) + ", " + + std::to_string(edge_dst[ei]) + "), edge " + idx(first) + " joins (" + + std::to_string(edge_src[first]) + ", " + std::to_string(edge_dst[first]) + ")"); + } + } + } + for (std::size_t h = 1; h < hops.size(); ++h) { + const NodeId prev = edge_dst[static_cast(hops[h - 1].front())]; + const NodeId next = edge_src[static_cast(hops[h].front())]; + if (prev != next) { + throw std::invalid_argument("Path: hops " + idx(h - 1) + " and " + idx(h) + " are not contiguous (" + + std::to_string(prev) + " then " + std::to_string(next) + ")"); + } + } + std::vector nodes; + nodes.reserve(hops.size() + 1); + nodes.push_back(edge_src[static_cast(hops.front().front())]); + Cost total = 0; + for (const auto& hop : hops) { + nodes.push_back(edge_dst[static_cast(hop.front())]); + Cost best = cost[static_cast(hop.front())]; + for (EdgeId e : hop) best = std::min(best, cost[static_cast(e)]); + total += best; + } + { + std::vector sorted(nodes); + std::sort(sorted.begin(), sorted.end()); + const auto dup = std::adjacent_find(sorted.begin(), sorted.end()); + if (dup != sorted.end()) throw std::invalid_argument("Path: node " + std::to_string(*dup) + " is repeated"); + } + graph_uid_ = g.uid(); + num_nodes_ = g.num_nodes(); + hops_ = std::move(hops); + nodes_ = std::move(nodes); + cost_ = total; +} + +PredDAG Path::to_dag() const { + // Built here (not through the builder) because a Path keeps no graph reference: the parent of + // every member of hop h is nodes_[h], its child nodes_[h + 1]; no node repeats, so each node + // holds the members of at most one hop. + std::vector> per_child(static_cast(num_nodes_)); + std::vector parent_of(static_cast(num_nodes_), -1); + for (std::size_t h = 0; h < hops_.size(); ++h) { + const auto child = static_cast(nodes_[h + 1]); + per_child[child] = hops_[h]; + std::sort(per_child[child].begin(), per_child[child].end()); + parent_of[child] = nodes_[h]; + } + return detail::PredDAGBuilder::from_children(graph_uid_, per_child, parent_of); +} + +} // namespace netgraph::core diff --git a/src/search.cpp b/src/search.cpp new file mode 100644 index 0000000..44b7e38 --- /dev/null +++ b/src/search.cpp @@ -0,0 +1,452 @@ +/* + The search semantics of APPROACH 6 as internal routines (sub-PR 1b; public in 1d). + + Distances are int64 path costs: every cost is positive and the sum of all costs is below + 2^62, so no simple path cost overflows and kUnreachable (INT64_MAX) never collides. Dijkstra + uses a binary heap of (distance, node); distances are unique, so the heap's order among + equal keys changes no output. +*/ +#include "netgraph/core/detail/search.hpp" + +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/int128.hpp" +#include "netgraph/core/flow.hpp" + +namespace netgraph::core::detail { + +int compare(const Priority& a, const Priority& b) noexcept { + if (a.infinite || b.infinite) return a.infinite == b.infinite ? 0 : (a.infinite ? 1 : -1); + const U128 left = mul_u64(static_cast(a.num), static_cast(b.den)); + const U128 right = mul_u64(static_cast(b.num), static_cast(a.den)); + if (left == right) return 0; + return left < right ? -1 : 1; +} + +Priority PriorityValues::of(EdgeId e) const noexcept { + const auto ei = static_cast(e); + const Amount cap = g->capacity_units()[ei]; + if (residual.empty() || priority == EdgePriority::Capacity) return {cap, 1, false}; + if (priority == EdgePriority::Residual) return {residual[ei], 1, false}; + return {residual[ei], cap, false}; +} + +std::vector node_set(std::span nodes, std::int32_t num_nodes, const char* name) { + if (nodes.empty()) throw std::invalid_argument(std::string(name) + ": the node set is empty"); + std::vector out(nodes.begin(), nodes.end()); + for (NodeId v : out) { + if (v < 0 || v >= num_nodes) { + throw std::invalid_argument(std::string(name) + ": node " + std::to_string(v) + " out of node range [0, " + + std::to_string(num_nodes) + ")"); + } + } + std::sort(out.begin(), out.end()); + out.erase(std::unique(out.begin(), out.end()), out.end()); + return out; +} + +void check_disjoint(std::span a, std::span b) { + for (std::size_t i = 0, k = 0; i < a.size() && k < b.size();) { + if (a[i] == b[k]) { + throw std::invalid_argument("node " + std::to_string(a[i]) + + " is in both endpoint sets: the sets must not overlap"); + } + if (a[i] < b[k]) ++i; else ++k; + } +} + +std::vector member_mask(const StrictMultiDiGraph& g, const Eligibility* elig, + const PathSelection& selection, std::span residual, + Amount min_residual) { + const auto m = static_cast(g.num_edges()); + const auto capacity = g.capacity_units(); + std::vector member(m, 0); + for (std::size_t e = 0; e < m; ++e) { + if (elig != nullptr && !elig->edge_ok(static_cast(e))) continue; + if (capacity[e] < 1) continue; + if (!residual.empty() && residual[e] < min_residual) continue; + member[e] = 1; + } + if (selection.multi_edge) return member; + // Collapse: one member per (u, v) by select_adjacency. + const PriorityValues prio {&g, selection.priority, residual}; + const bool prefer = selection.tie_break == EdgeTieBreak::PreferHigherPriority; + const auto cost = g.cost(); + const auto edge_dst = g.edge_dst(); + const auto row = g.row_offsets(); + std::vector best(static_cast(g.num_nodes()), -1); + std::vector touched; + for (std::int32_t u = 0; u < g.num_nodes(); ++u) { + touched.clear(); + for (auto e = row[static_cast(u)]; e < row[static_cast(u) + 1]; ++e) { + const auto ei = static_cast(e); + if (member[ei] == 0) continue; + const auto v = static_cast(edge_dst[ei]); + const EdgeId cur = best[v]; + if (cur < 0) { + best[v] = e; + touched.push_back(static_cast(v)); + continue; + } + const auto ci = static_cast(cur); + bool better = false; + if (cost[ei] != cost[ci]) { + better = cost[ei] < cost[ci]; + } else if (prefer) { + const int c = compare(prio.of(e), prio.of(cur)); + better = c > 0; // equal priority: the lower EdgeId (cur, seen first) stays + } + if (better) best[v] = e; + } + for (std::size_t e = static_cast(row[static_cast(u)]); + e < static_cast(row[static_cast(u) + 1]); ++e) { + if (member[e] != 0 && best[static_cast(edge_dst[e])] != static_cast(e)) member[e] = 0; + } + for (NodeId v : touched) best[static_cast(v)] = -1; + } + return member; +} + +namespace { + +using HeapEntry = std::pair; +using MinHeap = std::priority_queue, std::greater<>>; + +} // namespace + +std::vector distances(const StrictMultiDiGraph& g, std::span member, + std::span roots, Direction direction) { + const auto n = static_cast(g.num_nodes()); + std::vector dist(n, kUnreachable); + const auto cost = g.cost(); + const auto edge_dst = g.edge_dst(); + const auto edge_src = g.edge_src(); + const auto row = g.row_offsets(); + const auto in_row = g.in_row_offsets(); + const auto in_adj = g.in_adj_edge_index(); + MinHeap heap; + for (NodeId r : roots) { + dist[static_cast(r)] = 0; + heap.emplace(0, r); + } + while (!heap.empty()) { + const auto [d, u] = heap.top(); + heap.pop(); + const auto ui = static_cast(u); + if (d != dist[ui]) continue; + if (direction == Direction::Forward) { + for (auto e = row[ui]; e < row[ui + 1]; ++e) { + const auto ei = static_cast(e); + if (member[ei] == 0) continue; + const auto v = static_cast(edge_dst[ei]); + const Cost nd = d + cost[ei]; + if (nd < dist[v]) { + dist[v] = nd; + heap.emplace(nd, static_cast(v)); + } + } + } else { + for (auto s = in_row[ui]; s < in_row[ui + 1]; ++s) { + const auto ei = static_cast(in_adj[static_cast(s)]); + if (member[ei] == 0) continue; + const auto v = static_cast(edge_src[ei]); + const Cost nd = d + cost[ei]; + if (nd < dist[v]) { + dist[v] = nd; + heap.emplace(nd, static_cast(v)); + } + } + } + } + return dist; +} + +std::vector full_dag(const StrictMultiDiGraph& g, std::span member, + std::span dist, Direction direction) { + const auto cost = g.cost(); + const auto edge_src = g.edge_src(); + const auto edge_dst = g.edge_dst(); + std::vector out; + for (std::size_t e = 0; e < member.size(); ++e) { + if (member[e] == 0) continue; + const Cost du = dist[static_cast(edge_src[e])]; + const Cost dv = dist[static_cast(edge_dst[e])]; + if (du == kUnreachable || dv == kUnreachable) continue; + const bool tight = direction == Direction::Forward ? du + cost[e] == dv : dv + cost[e] == du; + if (tight) out.push_back(static_cast(e)); + } + return out; +} + +TightDag tight_dag(const StrictMultiDiGraph& g, std::span member, std::span sources, + std::span destinations) { + const auto n = static_cast(g.num_nodes()); + const auto cost = g.cost(); + const auto edge_dst = g.edge_dst(); + const auto edge_src = g.edge_src(); + const auto row = g.row_offsets(); + const auto in_row = g.in_row_offsets(); + const auto in_adj = g.in_adj_edge_index(); + std::vector is_dst(n, 0); + for (NodeId t : destinations) is_dst[static_cast(t)] = 1; + // Forward Dijkstra from the sources until every node at distance <= d* is final. + std::vector dist(n, kUnreachable); + std::vector settled(n, 0); + MinHeap heap; + for (NodeId s : sources) { + dist[static_cast(s)] = 0; + heap.emplace(0, s); + } + Cost dstar = kUnreachable; + while (!heap.empty()) { + const auto [d, u] = heap.top(); + if (d > dstar) break; + heap.pop(); + const auto ui = static_cast(u); + if (d != dist[ui] || settled[ui] != 0) continue; + settled[ui] = 1; + if (is_dst[ui] != 0) { + dstar = std::min(dstar, d); + continue; // destinations are terminal + } + for (auto e = row[ui]; e < row[ui + 1]; ++e) { + const auto ei = static_cast(e); + if (member[ei] == 0) continue; + const auto v = static_cast(edge_dst[ei]); + const Cost nd = d + cost[ei]; + if (nd < dist[v]) { + dist[v] = nd; + heap.emplace(nd, static_cast(v)); + } + } + } + TightDag out; + if (dstar == kUnreachable) { + out.cost = kUnreachable; + return out; + } + out.cost = dstar; + // Back-prune from the destinations at d* over tight in-edges whose tail is settled below d*. + std::vector keep(n, 0); + std::vector stack; + for (NodeId t : destinations) { + const auto ti = static_cast(t); + if (dist[ti] == dstar && keep[ti] == 0) { + keep[ti] = 1; + stack.push_back(t); + } + } + while (!stack.empty()) { + const auto v = static_cast(stack.back()); + stack.pop_back(); + for (auto s = in_row[v]; s < in_row[v + 1]; ++s) { + const auto ei = static_cast(in_adj[static_cast(s)]); + if (member[ei] == 0) continue; + const auto u = static_cast(edge_src[ei]); + if (settled[u] == 0 || is_dst[u] != 0 || dist[u] >= dstar || dist[u] + cost[ei] != dist[v]) continue; + out.edges.push_back(static_cast(ei)); + if (keep[u] == 0) { + keep[u] = 1; + stack.push_back(static_cast(u)); + } + } + } + std::sort(out.edges.begin(), out.edges.end()); + return out; +} + +std::optional canonical_path(const StrictMultiDiGraph& g, std::span member, + std::span sources, std::span destinations, + const PriorityValues* priority, std::optional prefix_cap) { + TightDag tight = tight_dag(g, member, sources, destinations); + if (tight.cost == kUnreachable) return std::nullopt; + const auto n = static_cast(g.num_nodes()); + const auto cost = g.cost(); + const auto edge_src = g.edge_src(); + const auto edge_dst = g.edge_dst(); + std::vector is_dst(n, 0); + for (NodeId t : destinations) is_dst[static_cast(t)] = 1; + std::vector dag = std::move(tight.edges); + SinglePath out; + out.cost = tight.cost; + if (priority != nullptr) { + // Stage 2: B*, the max-min bottleneck over the walks of the tight DAG. Distances from the + // sources inside the DAG order its nodes topologically. + std::vector dag_member(member.size(), 0); + for (EdgeId e : dag) dag_member[static_cast(e)] = 1; + const auto dist = distances(g, dag_member, sources, Direction::Forward); + std::vector by_tail(dag); + std::sort(by_tail.begin(), by_tail.end(), [&](EdgeId a, EdgeId b) { + const Cost da = dist[static_cast(edge_src[static_cast(a)])]; + const Cost db = dist[static_cast(edge_src[static_cast(b)])]; + return da != db ? da < db : a < b; + }); + std::vector> best(n); + for (NodeId s : sources) best[static_cast(s)] = Priority {0, 1, true}; + for (EdgeId e : by_tail) { + const auto u = static_cast(edge_src[static_cast(e)]); + const auto v = static_cast(edge_dst[static_cast(e)]); + if (!best[u].has_value()) continue; + Priority cand = priority->of(e); + if (compare(*best[u], cand) < 0) cand = *best[u]; + if (!best[v].has_value() || compare(cand, *best[v]) > 0) best[v] = cand; + } + std::optional b_star; + for (NodeId t : destinations) { + const auto ti = static_cast(t); + if (dist[ti] != tight.cost || !best[ti].has_value()) continue; + if (!b_star.has_value() || compare(*best[ti], *b_star) > 0) b_star = best[ti]; + } + if (!b_star.has_value()) return std::nullopt; + if (prefix_cap.has_value() && compare(*prefix_cap, *b_star) < 0) b_star = prefix_cap; + out.b_star = b_star; + std::vector kept; + for (EdgeId e : dag) { + if (compare(priority->of(e), *b_star) >= 0) kept.push_back(e); + } + dag = std::move(kept); + } + // Stage 3: hop counts toward the destinations inside the (restricted) DAG, then the greedy + // walk by the smallest tight edge whose head is one hop closer. + constexpr std::int32_t kNone = -1; + std::vector h(n, kNone); + std::vector> in_dag(n), out_dag(n); + for (EdgeId e : dag) { // ascending: out_dag lists stay ascending + in_dag[static_cast(edge_dst[static_cast(e)])].push_back(e); + out_dag[static_cast(edge_src[static_cast(e)])].push_back(e); + } + std::vector queue; + for (NodeId t : destinations) { + h[static_cast(t)] = 0; + queue.push_back(t); + } + for (std::size_t qi = 0; qi < queue.size(); ++qi) { + const auto v = static_cast(queue[qi]); + for (EdgeId e : in_dag[v]) { + const auto u = static_cast(edge_src[static_cast(e)]); + if (h[u] == kNone) { + h[u] = h[v] + 1; + queue.push_back(static_cast(u)); + } + } + } + std::int32_t hmin = kNone; + for (NodeId s : sources) { + const std::int32_t hs = h[static_cast(s)]; + if (hs != kNone && (hmin == kNone || hs < hmin)) hmin = hs; + } + if (hmin == kNone) return std::nullopt; + std::vector frontier; + for (NodeId s : sources) { + if (h[static_cast(s)] == hmin) frontier.push_back(s); + } + while (true) { + EdgeId pick = -1; + for (NodeId x : frontier) { + const auto xi = static_cast(x); + for (EdgeId e : out_dag[xi]) { + const auto v = static_cast(edge_dst[static_cast(e)]); + if (h[v] != kNone && h[v] == h[xi] - 1) { + if (pick < 0 || e < pick) pick = e; + break; // ascending: the first qualifying edge of x is its smallest + } + } + } + if (pick < 0) break; + out.walk.push_back(pick); + const NodeId u = edge_dst[static_cast(pick)]; + if (is_dst[static_cast(u)] != 0) break; + frontier.assign(1, u); + } + if (out.walk.empty()) return std::nullopt; + Cost walk_cost = 0; + for (EdgeId e : out.walk) walk_cost += cost[static_cast(e)]; + if (walk_cost != out.cost) throw std::logic_error("canonical path: the walk is not tight"); + if (priority != nullptr) { + Priority b {0, 1, true}; + for (EdgeId e : out.walk) { + const Priority p = priority->of(e); + if (compare(p, b) < 0) b = p; + } + out.bottleneck = b; + } + return out; +} + +SpfOut spf(const StrictMultiDiGraph& g, std::span roots, Direction direction, + std::optional> targets, const PathSelection& selection, + std::optional> residual_arg, Amount min_residual, const Eligibility* elig) { + const auto root_set = node_set(roots, g.num_nodes(), "roots"); + std::vector target_set; + if (targets.has_value()) { + target_set = node_set(*targets, g.num_nodes(), "targets"); + check_disjoint(root_set, target_set); + } else if (!selection.multipath) { + throw std::invalid_argument("multipath = false requires targets (the single path joins a root to a target)"); + } + const auto m = static_cast(g.num_edges()); + const std::span residual = residual_arg.value_or(std::span {}); + if (residual_arg.has_value() && residual.size() != m) { + throw std::invalid_argument("residual has length " + std::to_string(residual.size()) + ", expected " + + std::to_string(m) + " (one entry per edge)"); + } + const auto capacity = g.capacity_units(); + for (std::size_t e = 0; e < residual.size(); ++e) { + if (residual[e] < 0 || residual[e] > capacity[e]) { + throw std::invalid_argument("residual[" + std::to_string(e) + "] = " + std::to_string(residual[e]) + + " is outside [0, capacity_units[" + std::to_string(e) + "] = " + + std::to_string(capacity[e]) + "]"); + } + } + if (min_residual < 1) { + throw std::invalid_argument("min_residual must be at least 1 unit (got " + std::to_string(min_residual) + ")"); + } + if (elig != nullptr && elig->graph_uid() != g.uid()) { + throw std::invalid_argument("foreign Eligibility: built for another graph"); + } + const auto member = member_mask(g, elig, selection, residual, min_residual); + std::vector live_roots; + for (NodeId r : root_set) { + if (elig == nullptr || elig->node_ok(r)) live_roots.push_back(r); + } + SpfOut out; + if (!targets.has_value()) { + auto dist = distances(g, member, live_roots, direction); + out.edges = full_dag(g, member, dist, direction); + out.costs = std::move(dist); + return out; + } + std::vector live_targets; + for (NodeId t : target_set) { + if (elig == nullptr || elig->node_ok(t)) live_targets.push_back(t); + } + out.target_cost = std::nullopt; + if (live_roots.empty() || live_targets.empty()) return out; + const auto& src = direction == Direction::Forward ? live_roots : live_targets; + const auto& dst = direction == Direction::Forward ? live_targets : live_roots; + if (selection.multipath) { + auto tight = tight_dag(g, member, src, dst); + if (tight.cost != kUnreachable) { + out.target_cost = tight.cost; + out.edges = std::move(tight.edges); + } + return out; + } + const PriorityValues prio {&g, selection.priority, residual}; + const bool prefer = selection.tie_break == EdgeTieBreak::PreferHigherPriority; + auto path = canonical_path(g, member, src, dst, prefer ? &prio : nullptr); + if (path.has_value()) { + out.target_cost = path->cost; + out.edges = path->walk; + std::sort(out.edges.begin(), out.edges.end()); + out.path = std::move(path); + } + return out; +} + +} // namespace netgraph::core::detail diff --git a/src/strict_multidigraph.cpp b/src/strict_multidigraph.cpp index 5d3c4f7..bdfca20 100644 --- a/src/strict_multidigraph.cpp +++ b/src/strict_multidigraph.cpp @@ -21,16 +21,23 @@ #include #include -namespace netgraph::core { +#include "netgraph/core/detail/uid.hpp" -namespace { +namespace netgraph::core { -std::atomic uid_counter {0}; +namespace detail { std::uint64_t next_uid() noexcept { - return uid_counter.fetch_add(1, std::memory_order_relaxed) + 1; + static std::atomic counter {0}; + return counter.fetch_add(1, std::memory_order_relaxed) + 1; } +} // namespace detail + +namespace { + +using detail::next_uid; + // The exponent k of a resolution q = 2^k with k in [-32, 32]. int resolution_exponent(double q) { if (!std::isfinite(q) || q <= 0.0) { @@ -282,4 +289,24 @@ Eligibility StrictMultiDiGraph::eligibility(std::span excluded_nod return el; } +Eligibility Eligibility::intersect(const Eligibility& a, const Eligibility& b) { + if (a.graph_uid_ != b.graph_uid_) { + throw std::invalid_argument("Eligibility.intersect: the two values belong to different graphs"); + } + Eligibility out; + out.graph_uid_ = a.graph_uid_; + out.node_allowed_.resize(a.node_allowed_.size()); + out.edge_allowed_.resize(a.edge_allowed_.size()); + for (std::size_t v = 0; v < out.node_allowed_.size(); ++v) { + out.node_allowed_[v] = static_cast(a.node_allowed_[v] & b.node_allowed_[v]); + } + for (std::size_t e = 0; e < out.edge_allowed_.size(); ++e) { + out.edge_allowed_[e] = static_cast(a.edge_allowed_[e] & b.edge_allowed_[e]); + } + if (out.node_allowed_ == a.node_allowed_ && out.edge_allowed_ == a.edge_allowed_) return a; + if (out.node_allowed_ == b.node_allowed_ && out.edge_allowed_ == b.edge_allowed_) return b; + out.uid_ = next_uid(); + return out; +} + } // namespace netgraph::core diff --git a/tests/cpp/flow_graph_tests.cpp b/tests/cpp/flow_graph_tests.cpp new file mode 100644 index 0000000..6107b24 --- /dev/null +++ b/tests/cpp/flow_graph_tests.cpp @@ -0,0 +1,668 @@ +// The integer ledger FlowGraph (APPROACH 8): the baseline, snapshots, FlowIds, bottleneck, and +// every row and transition of the lifetime table, driven through the internal entry points by +// the single-bundle Pinned transaction of sub-PR 1b (detail::PinnedFlow). +// +// | State | place | remove() | destroyed | reset | copy | +// | bound, no flows | place(0) no-op; positive | resets the epoch | none | rejected | rejected | +// | | creates (no route: nothing) | | | | | +// | bound, flows | adds or replaces | reverts, retires | orphaned | rejected | rejected | +// | orphaned records | n/a | n/a | n/a | clears | copied | +#include + +#include +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/ledger_access.hpp" +#include "netgraph/core/detail/pinned_flow.hpp" +#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/flow_graph.hpp" +#include "test_utils.hpp" + +using namespace netgraph::core; +using namespace netgraph::core::test; +using detail::LedgerAccess; +using detail::PinnedFlow; +using detail::Termination; + +namespace { + +std::shared_ptr shared(StrictMultiDiGraph g) { + return std::make_shared(std::move(g)); +} + +std::shared_ptr bundle(const StrictMultiDiGraph& g, std::vector edges) { + return std::make_shared(detail::PredDAGBuilder::from_edges(g, edges)); +} + +std::shared_ptr all_edges(const StrictMultiDiGraph& g) { + std::vector e(static_cast(g.num_edges())); + for (std::size_t i = 0; i < e.size(); ++i) e[i] = static_cast(i); + return bundle(g, e); +} + +std::string error_of(const std::function& fn) { + try { + fn(); + } catch (const std::invalid_argument& e) { + return e.what(); + } + return ""; +} + +std::vector alloc_in(const FlowGraph& fg) { return to_input(*fg.graph(), fg.allocated()); } + +} // namespace + +TEST(FlowGraph, BaselineValidationAndSnapshots) { + auto g = shared(make_graph(2, {{0, 1, 5, 1}})); + EXPECT_THROW(FlowGraph(g, std::vector {6}), std::invalid_argument); + EXPECT_THROW(FlowGraph(g, std::vector {-1}), std::invalid_argument); + EXPECT_THROW(FlowGraph(g, std::vector {1, 1}), std::invalid_argument); + EXPECT_THROW(FlowGraph(nullptr), std::invalid_argument); + FlowGraph fg(g, std::vector {3}); + EXPECT_EQ(fg.residual(), (std::vector{3})); + EXPECT_EQ(fg.allocated(), (std::vector{0})); + EXPECT_EQ(std::vector(fg.capacity_units().begin(), fg.capacity_units().end()), (std::vector{5})); + EXPECT_TRUE(fg.records().empty()); + EXPECT_EQ(fg.graph().get(), g.get()); + FlowGraph other(g); + EXPECT_NE(fg.uid(), other.uid()); +} + +TEST(FlowGraph, BoundNoFlowsRow) { + auto g = shared(make_graph(2, {{0, 1, 5, 1}})); + FlowGraph fg(g); + PinnedFlow p(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); + // place(0): a no-op that creates nothing. + auto r = p.place(0); + EXPECT_EQ(r.termination, Termination::Complete); + EXPECT_FALSE(r.routes_changed); + EXPECT_TRUE(fg.records().empty()); + EXPECT_EQ(LedgerAccess::next_flow_id(fg), 0); + // reset and copy rejected while a policy is bound; move rejected too. + EXPECT_NE(error_of([&] { fg.reset(); }).find("bound"), std::string::npos); + EXPECT_THROW(FlowGraph copy(fg), std::invalid_argument); + EXPECT_THROW(FlowGraph moved(std::move(fg)), std::invalid_argument); + // remove() with no flows: no allocation to revert; the epoch state resets. + p.remove(); + EXPECT_TRUE(fg.records().empty()); + EXPECT_FALSE(p.infinite()); + EXPECT_TRUE(p.requested().is_zero()); + // A positive request creates the cohort (new id), routes_changed true. + r = p.place(2); + EXPECT_EQ(r.placed, 2); + EXPECT_TRUE(r.routes_changed); + ASSERT_TRUE(p.flow_id().has_value()); + EXPECT_EQ(p.flow_id()->second, 0); +} + +TEST(FlowGraph, NoRouteCreatesNothing) { + // A bundle whose only walk is excluded by the Eligibility: usable_bundles() == 0. + auto g = shared(make_graph(2, {{0, 1, 5, 1}})); + FlowGraph fg(g); + auto el = std::make_shared(g->eligibility({}, std::vector {0})); + PinnedFlow p(fg, 0, 1, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual, el); + EXPECT_EQ(p.usable_bundles(), 0); + auto r = p.place(3); + EXPECT_EQ(r.termination, Termination::NoRoute); + EXPECT_EQ(r.placed, 0); + ASSERT_TRUE(r.remaining.has_value()); + EXPECT_EQ(*r.remaining, 3); + EXPECT_FALSE(r.routes_changed); + EXPECT_TRUE(fg.records().empty()); + EXPECT_EQ(LedgerAccess::next_flow_id(fg), 0); + // A bundle without any walk before pruning is malformed. + auto g2 = shared(make_graph(3, {{0, 1, 5, 1}, {2, 1, 5, 1}})); + FlowGraph fg2(g2); + EXPECT_NE(error_of([&] { + PinnedFlow bad(fg2, 0, 2, all_edges(*g2), FlowPlacement::MaxFlow, Admission::Lossless, + EdgePriority::Residual); + }).find("malformed bundle"), + std::string::npos); +} + +TEST(FlowGraph, BoundWithFlowsRowAndEpochs) { + auto g = shared(make_graph(2, {{0, 1, 5, 1}})); + FlowGraph fg(g); + PinnedFlow p(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); + EXPECT_EQ(p.place(2).placed, 2); + // Adds: T grows within the epoch. + auto r = p.place(std::nullopt); + EXPECT_EQ(r.placed, 3); + EXPECT_EQ(r.termination, Termination::Exhausted); + EXPECT_FALSE(r.remaining.has_value()); + EXPECT_TRUE(p.infinite()); + // A finite request after +inf is rejected within the epoch, place(0) included (validation + // precedes the zero shortcut); the state is unchanged. + EXPECT_NE(error_of([&] { (void)p.place(1); }).find("after +inf"), std::string::npos); + EXPECT_NE(error_of([&] { (void)p.place(0); }).find("after +inf"), std::string::npos); + EXPECT_EQ(alloc_in(fg), (std::vector{5})); + EXPECT_NE(error_of([&] { fg.reset(); }).find("bound"), std::string::npos); + EXPECT_THROW(FlowGraph copy(fg), std::invalid_argument); + // remove(): allocations reverted, record gone, id retired. + const auto old = *p.flow_id(); + p.remove(); + EXPECT_EQ(alloc_in(fg), (std::vector{0})); + EXPECT_TRUE(fg.records().empty()); + EXPECT_NE(error_of([&] { (void)fg.record(old); }).find("retired or unknown"), std::string::npos); + // place(+inf); remove(); place(1) is accepted: a new epoch with a new id. + r = p.place(1); + EXPECT_EQ(r.placed, 1); + EXPECT_TRUE(r.routes_changed); + EXPECT_EQ(p.flow_id()->second, 1); + p.remove(); + p.remove(); // on an empty cohort: resets the epoch + EXPECT_TRUE(p.requested().is_zero()); + EXPECT_FALSE(p.infinite()); + EXPECT_EQ(LedgerAccess::next_flow_id(fg), 2); +} + +TEST(FlowGraph, OrphanedRecordsResetAndCopy) { + auto g = shared(make_graph(2, {{0, 1, 5, 1}})); + FlowGraph fg(g); + auto p = std::make_unique(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, + EdgePriority::Residual); + { + PinnedFlow q(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); + EXPECT_EQ(q.place(2).placed, 2); + } // destroyed without remove(): the record stays as an orphan + ASSERT_EQ(fg.records().size(), 1u); + EXPECT_EQ(fg.records()[0].delivered, 2); + EXPECT_EQ(LedgerAccess::orphan_owners(fg), (std::vector{1})); + EXPECT_EQ(LedgerAccess::bound_owners(fg), (std::vector{0})); + // Another policy sees the orphan's allocation (it is never changed again). + EXPECT_EQ(p->place(5).placed, 3); + EXPECT_NE(error_of([&] { fg.reset(); }).find("bound"), std::string::npos); + p->remove(); + p.reset(); // destroyed: nothing bound + // Copy of an unbound ledger: new uid, same ids under the new uid. + FlowGraph c(fg); + EXPECT_NE(c.uid(), fg.uid()); + ASSERT_EQ(c.records().size(), 1u); + EXPECT_EQ(c.records()[0].flow_id, (FlowId {c.uid(), 0})); + EXPECT_EQ(c.records()[0].delivered, 2); + EXPECT_EQ(c.allocated(), fg.allocated()); + // reset: orphans and their allocations cleared, ids retired (never reused), new baseline. + fg.reset(std::vector {4}); + EXPECT_TRUE(fg.records().empty()); + EXPECT_EQ(fg.residual(), (std::vector{4})); + EXPECT_TRUE(LedgerAccess::orphan_owners(fg).empty()); + EXPECT_EQ(LedgerAccess::next_flow_id(fg), 2); + PinnedFlow r(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); + EXPECT_EQ(r.place(9).placed, 4); + EXPECT_EQ(r.flow_id()->second, 2); + // The copy is independent of the original. + EXPECT_EQ(c.records()[0].delivered, 2); +} + +TEST(FlowGraph, MovedFromLedgerIsUnusable) { + auto g = shared(make_graph(2, {{0, 1, 5, 1}})); + FlowGraph fg(g); + FlowGraph moved(std::move(fg)); + EXPECT_THROW((void)fg.uid(), std::logic_error); + EXPECT_THROW((void)fg.records(), std::logic_error); + EXPECT_THROW((void)fg.residual(), std::logic_error); + EXPECT_THROW(fg.reset(), std::logic_error); + EXPECT_THROW((void)LedgerAccess::bind(fg), std::logic_error); + EXPECT_EQ(moved.residual(), (std::vector{5})); +} + +TEST(FlowGraph, FlowIdsOfOtherLedgersAndUnknownIds) { + auto g = shared(make_graph(2, {{0, 1, 5, 1}})); + FlowGraph a(g), b(g); + PinnedFlow p(a, 0, 1, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + (void)p.place(1); + const auto id = *p.flow_id(); + EXPECT_EQ(a.record(id).delivered, 1); + EXPECT_NE(error_of([&] { (void)b.record(id); }).find("another ledger"), std::string::npos); + EXPECT_NE(error_of([&] { (void)a.record(FlowId {a.uid(), 7}); }).find("retired or unknown"), std::string::npos); +} + +TEST(FlowGraph, RecordsCarryTheContractFields) { + // Lossy EqualBalanced on the diamond 10/10/1/10 (prototype 1 lossy_diamond): 10 then 1. + auto g = shared(make_graph(4, {{0, 1, 10, 1}, {0, 2, 10, 1}, {1, 3, 1, 1}, {2, 3, 10, 1}})); + const auto inv = id_of_input(*g); + FlowGraph fg(g); + PinnedFlow p(fg, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy, EdgePriority::Residual); + auto r = p.place(10); + EXPECT_EQ(r.placed, 6); + EXPECT_EQ(r.termination, Termination::Complete); + EXPECT_EQ(r.drops, (std::vector>{{inv[2], 4}})); + r = p.place(1); + EXPECT_EQ(r.placed, 0); + EXPECT_EQ(r.termination, Termination::Complete); + EXPECT_EQ(*r.remaining, 1); + EXPECT_EQ(alloc_in(fg), (std::vector{6, 5, 1, 5})); + const auto rec = fg.records().at(0); + EXPECT_EQ(rec.flow_id, (FlowId {fg.uid(), 0})); + EXPECT_EQ(rec.owner, 0); + EXPECT_EQ(rec.sources, (std::vector{0})); + EXPECT_EQ(rec.destinations, (std::vector{3})); + EXPECT_EQ(rec.placement, FlowPlacement::EqualBalanced); + EXPECT_EQ(rec.admission, Admission::Lossy); + ASSERT_TRUE(rec.bundle); + EXPECT_EQ(rec.bundle->edges(), (std::vector{0, 1, 2, 3})); + EXPECT_EQ(rec.route_cost, 2); + ASSERT_TRUE(rec.offered.has_value()); + EXPECT_EQ(rec.offered->lo, 11u); + EXPECT_EQ(rec.delivered, 6); + ASSERT_EQ(rec.drops.size(), 1u); + EXPECT_EQ(rec.drops[0].first, inv[2]); + EXPECT_EQ(rec.drops[0].second.lo, 5u); + // +inf on a fresh ledger: offered is the injection (20), delivered 11, drops 9. + FlowGraph f2(g); + PinnedFlow q(f2, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy, EdgePriority::Residual); + r = q.place(std::nullopt); + EXPECT_EQ(r.placed, 11); + EXPECT_EQ(r.termination, Termination::Exhausted); + EXPECT_EQ(f2.records()[0].offered->lo, 20u); + // Lossless records carry no offered. + FlowGraph f3(g); + PinnedFlow m(f3, 0, 3, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + (void)m.place(3); + EXPECT_FALSE(f3.records()[0].offered.has_value()); + EXPECT_TRUE(f3.records()[0].drops.empty()); +} + +TEST(FlowGraph, CountersBeyondSixtyFourBits) { + // Prototype 1 lossy_oversized_and_saturated_offers: every unit of a 2^62 - 1 offer dropped on + // a saturated link, many times: offered and drops grow beyond 2^64. + auto g = shared(make_graph(2, {{0, 1, 1, 1}})); + FlowGraph fg(g); + PinnedFlow p(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy, EdgePriority::Residual); + const Amount big = kDomainLimit - 1; + for (int i = 0; i < 9; ++i) (void)p.place(big); + const auto rec = fg.records().at(0); + // offered = 9 (2^62 - 1) = 2^65 + 2^62 - 9 + EXPECT_EQ(rec.offered->hi, 2u); + EXPECT_EQ(rec.offered->lo, (std::uint64_t {1} << 62) - 9); + EXPECT_EQ(rec.delivered, 1); + EXPECT_EQ(rec.drops[0].second.hi, 2u); + EXPECT_EQ(rec.drops[0].second.lo, (std::uint64_t {1} << 62) - 10); + EXPECT_EQ(p.requested().hi, 2u); +} + +TEST(FlowGraph, RequestDomainAndFailedCallsLeaveState) { + auto g = shared(make_graph(2, {{0, 1, 5, 1}})); + FlowGraph fg(g); + PinnedFlow p(fg, 0, 1, all_edges(*g), FlowPlacement::Weighted, Admission::Lossless, EdgePriority::Capacity); + (void)p.place(2); + const auto before = fg.records(); + EXPECT_THROW((void)p.place(kDomainLimit), std::invalid_argument); + EXPECT_THROW((void)p.place(-1), std::invalid_argument); + EXPECT_EQ(fg.records().size(), before.size()); + EXPECT_EQ(fg.allocated(), (std::vector{2})); + // Constructor validation. + auto other = make_graph(2, {{0, 1, 5, 1}}); + EXPECT_NE(error_of([&] { + PinnedFlow x(fg, 0, 1, bundle(other, {0}), FlowPlacement::MaxFlow, Admission::Lossless, + EdgePriority::Residual); + }).find("foreign PredDAG"), + std::string::npos); + EXPECT_NE(error_of([&] { + PinnedFlow x(fg, 0, 0, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + }).find("both endpoint sets"), + std::string::npos); + EXPECT_NE(error_of([&] { + PinnedFlow x(fg, 0, 1, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossy, EdgePriority::Residual); + }).find("Lossy"), + std::string::npos); + EXPECT_NE(error_of([&] { + PinnedFlow x(fg, 0, 1, all_edges(*g), FlowPlacement::Weighted, Admission::Lossless, EdgePriority::Headroom); + }).find("Headroom"), + std::string::npos); + // A rejected construction binds nothing. + EXPECT_EQ(LedgerAccess::bound_owners(fg), (std::vector{0})); +} + +TEST(FlowGraph, BottleneckVersusMinCut) { + // Prototype 1 ledger_bottleneck_vs_min_cut: (0->1 cap 1 cost 1), (0->2 cap 2 cost 3), + // (1->2 cap 1), (2->3 cap 2). After the MaxFlow +inf [1, 1, 1, 2] the bottleneck (forward + // residual) is {0->1, 2->3}, not the cut {2->3}. + auto g = shared(make_graph(4, {{0, 1, 1, 1}, {0, 2, 2, 3}, {1, 2, 1, 1}, {2, 3, 2, 1}})); + const auto inv = id_of_input(*g); + FlowGraph fg(g); + PinnedFlow p(fg, 0, 3, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + EXPECT_EQ(p.place(std::nullopt).placed, 2); + EXPECT_EQ(alloc_in(fg), (std::vector{1, 1, 1, 2})); + std::vector want = {inv[0], inv[3]}; + std::sort(want.begin(), want.end()); + EXPECT_EQ(fg.bottleneck(std::vector {0}), want); + // A zero-capacity edge at the frontier is not listed; an excluded edge is not crossed. + auto g2 = shared(make_graph(3, {{0, 1, 0, 1}, {0, 2, 1, 1}, {2, 1, 1, 1}})); + FlowGraph f2(g2); + EXPECT_TRUE(f2.bottleneck(std::vector {0}).empty()); + const auto inv2 = id_of_input(*g2); + auto el = g2->eligibility({}, std::vector {inv2[2]}); + EXPECT_TRUE(f2.bottleneck(std::vector {0}, &el).empty()); // 2->1 excluded: not listed + // An excluded source contributes nothing; a foreign Eligibility throws. + const std::vector xn = {0}; + auto ex = g2->eligibility(xn, {}); + EXPECT_TRUE(f2.bottleneck(std::vector {0}, &ex).empty()); + auto other = make_graph(3, {{0, 1, 1, 1}}); + auto foreign = other.eligibility({}, std::vector {0}); + EXPECT_THROW((void)f2.bottleneck(std::vector {0}, &foreign), std::invalid_argument); + EXPECT_THROW((void)f2.bottleneck(std::vector {}), std::invalid_argument); +} + +TEST(FlowGraph, TwoOwnersNeverCancelEachOther) { + // Prototype 1 maxflow_two_owner_no_cross_cancellation: A holds the chain 0-1-2-3; B's bundle + // (chain plus bypasses) could reach 2 only by cancelling A's middle edge: B places 0 (record + // at zero delivery, exhausted) and A is untouched; after A's remove() B places 2. + auto g = shared(make_graph(4, {{0, 1, 1, 1}, {1, 2, 1, 1}, {2, 3, 1, 1}, {0, 2, 1, 3}, {1, 3, 1, 3}})); + const auto inv = id_of_input(*g); + FlowGraph fg(g); + PinnedFlow a(fg, 0, 3, bundle(*g, {inv[0], inv[1], inv[2]}), FlowPlacement::MaxFlow, Admission::Lossless, + EdgePriority::Residual); + EXPECT_EQ(a.place(1).placed, 1); + PinnedFlow b(fg, 0, 3, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + auto r = b.place(2); + EXPECT_EQ(r.placed, 0); + EXPECT_TRUE(r.routes_changed); + EXPECT_EQ(r.termination, Termination::Exhausted); + EXPECT_EQ(fg.record(*b.flow_id()).delivered, 0); + EXPECT_EQ(alloc_in(fg), (std::vector{1, 1, 1, 0, 0})); + a.remove(); + r = b.place(2); + EXPECT_EQ(r.placed, 2); + EXPECT_EQ(alloc_in(fg), (std::vector{1, 0, 1, 1, 1})); +} + +TEST(FlowGraph, AggregatesEqualTheSumOfRecords) { + // Random sequences of placements, removals and destructions on one ledger: allocated() is the + // exact sum of the records' edges and residual() = baseline - allocated() within [0, baseline]. + std::mt19937 rng(5); + for (int trial = 0; trial < 60; ++trial) { + const int n = 4 + static_cast(rng() % 3); + std::vector edges; + for (int i = 0; i < 3 * n; ++i) { + const NodeId u = static_cast(rng() % (n - 1)); + const NodeId v = static_cast(u + 1 + rng() % static_cast(n - 1 - u)); + edges.push_back({u, v, static_cast(rng() % 7), 1 + static_cast(rng() % 3)}); + } + auto g = shared(make_graph(n, edges)); + FlowGraph fg(g); + std::vector> pols; + const FlowPlacement kinds[3] = {FlowPlacement::MaxFlow, FlowPlacement::Weighted, FlowPlacement::EqualBalanced}; + for (int k = 0; k < 4; ++k) { + const auto kind = kinds[rng() % 3]; + const auto adm = kind != FlowPlacement::MaxFlow && rng() % 3 == 0 ? Admission::Lossy : Admission::Lossless; + try { + pols.push_back(std::make_unique(fg, 0, n - 1, all_edges(*g), kind, adm, EdgePriority::Capacity)); + } catch (const std::invalid_argument&) { + break; // no walk at all + } + } + for (int step = 0; step < 12 && !pols.empty(); ++step) { + auto& p = pols[rng() % pols.size()]; + if (!p) continue; + const int op = static_cast(rng() % 6); + if (op == 0) { + p->remove(); + } else if (op == 1) { + p.reset(); + } else if (!p->infinite()) { + (void)p->place(op == 2 ? std::optional() : std::optional(rng() % 9)); + } + std::vector sum(static_cast(g->num_edges()), 0); + for (const auto& rec : fg.records()) { + for (const auto& [e, x] : rec.edges) sum[static_cast(e)] += x; + } + ASSERT_EQ(fg.allocated(), sum); + const auto res = fg.residual(); + for (std::size_t e = 0; e < res.size(); ++e) { + ASSERT_GE(res[e], 0); + ASSERT_EQ(res[e] + sum[e], g->capacity_units()[e]); + } + } + } +} + +TEST(FlowGraph, NoRouteCallsRecordTheEpochState) { + // A positive request with no usable bundle creates nothing, but the epoch records it: after + // +inf a finite request (place(0) included) is rejected until remove() (APPROACH 8, 9.2; + // prototype 2's reading; prototype 1 kept no state on such a call). + auto g = shared(make_graph(2, {{0, 1, 5, 1}})); + FlowGraph fg(g); + auto el = std::make_shared(g->eligibility({}, std::vector {0})); + PinnedFlow p(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual, + el); + EXPECT_EQ(p.place(3).termination, Termination::NoRoute); + EXPECT_EQ(p.requested().lo, 3u); + auto r = p.place(std::nullopt); + EXPECT_EQ(r.termination, Termination::NoRoute); + EXPECT_FALSE(r.remaining.has_value()); + EXPECT_TRUE(p.infinite()); + EXPECT_NE(error_of([&] { (void)p.place(1); }).find("after +inf"), std::string::npos); + EXPECT_NE(error_of([&] { (void)p.place(0); }).find("after +inf"), std::string::npos); + p.remove(); + EXPECT_FALSE(p.infinite()); + EXPECT_EQ(p.place(1).termination, Termination::NoRoute); + EXPECT_TRUE(fg.records().empty()); + EXPECT_EQ(LedgerAccess::next_flow_id(fg), 0); +} + +TEST(FlowGraph, RouteCostIsTheBundlesMinimumWalk) { + // Weighted Residual on a route whose only edge another owner fills: the split graph is + // empty (record at zero delivery), route_cost is still the bundle's walk cost 3. + auto g = shared(make_graph(2, {{0, 1, 2, 3}})); + FlowGraph fg(g); + PinnedFlow holder(fg, 0, 1, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + EXPECT_EQ(holder.place(2).placed, 2); + PinnedFlow w(fg, 0, 1, all_edges(*g), FlowPlacement::Weighted, Admission::Lossless, EdgePriority::Residual); + auto r = w.place(1); + EXPECT_EQ(r.placed, 0); + EXPECT_EQ(r.termination, Termination::Exhausted); + EXPECT_TRUE(r.routes_changed); + ASSERT_NE(w.plan(), nullptr); + EXPECT_TRUE(w.plan()->members.empty()); + const auto rec = fg.record(*w.flow_id()); + EXPECT_EQ(rec.route_cost, 3); + EXPECT_EQ(rec.delivered, 0); + // A mixed-cost bundle: the cheapest walk (1 + 1 + 1) is the route cost, not the cost-4 edge. + auto g2 = shared(make_graph(4, {{0, 1, 1, 1}, {1, 2, 1, 1}, {2, 3, 1, 1}, {0, 3, 1, 4}})); + FlowGraph f2(g2); + PinnedFlow m(f2, 0, 3, all_edges(*g2), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + (void)m.place(1); + EXPECT_EQ(f2.records()[0].route_cost, 3); +} + +TEST(FlowGraph, RemovalRestoresTheBaselineAndLeavesOtherOwnersIntact) { + // review-2 R7: removing a flow restores the baseline residual (5 on a capacity-10 link), not + // the capacity; review-check check_review6: another owner's allocation stays intact. + auto g = shared(make_graph(2, {{0, 1, 10, 1}})); + FlowGraph fg(g, std::vector {5}); + PinnedFlow a(fg, 0, 1, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + PinnedFlow b(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); + EXPECT_EQ(a.place(3).placed, 3); + EXPECT_EQ(b.place(1).placed, 1); + EXPECT_EQ(fg.residual(), (std::vector{1})); + a.remove(); + EXPECT_EQ(fg.residual(), (std::vector{4})); + EXPECT_EQ(fg.record(*b.flow_id()).edges, (std::vector>{{0, 1}})); + b.remove(); + EXPECT_EQ(fg.residual(), (std::vector{5})); + // A baseline one unit above the quantised capacity is rejected (no clamp at this boundary). + EXPECT_THROW(FlowGraph(g, std::vector {11}), std::invalid_argument); +} + +TEST(FlowGraph, LossyOffersArePerCall) { + // review-13 lossy / rule 19: on the diamond, two calls of 1 offer each unit to the lowest + // EdgeId first (both on the first branch) while one call of 2 splits [1, 1]: not additive. + auto g = shared(make_graph(4, {{0, 1, 10, 1}, {0, 2, 10, 1}, {1, 3, 1, 1}, {2, 3, 10, 1}})); + FlowGraph f1(g), f2(g); + PinnedFlow p1(f1, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy, EdgePriority::Residual); + PinnedFlow p2(f2, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy, EdgePriority::Residual); + auto r = p1.place(1); + EXPECT_EQ(r.placed, 1); + r = p1.place(1); + EXPECT_EQ(r.placed, 0); // the tail 1->3 is full: the unit is dropped there + EXPECT_EQ(r.termination, Termination::Complete); + EXPECT_EQ(alloc_in(f1), (std::vector{2, 0, 1, 0})); + r = p2.place(2); + EXPECT_EQ(r.placed, 2); + EXPECT_EQ(alloc_in(f2), (std::vector{1, 1, 1, 1})); +} + +// review-1b-fixes N2: a commit carrying several records of one owner touches an edge from more +// than one record; its delta may pass through zero while it accumulates. Each edge's delta is +// published once. +namespace { + +detail::Draft draft_on(const std::shared_ptr& dag, std::vector> edges, + std::optional id = std::nullopt) { + detail::Draft d; + d.id = id; + d.sources = {0}; + d.destinations = {1}; + d.bundle = dag; + d.route_cost = 1; + for (const auto& [e, x] : edges) d.delivered += x; + d.edges = std::move(edges); + return d; +} + +Amount record_sum(const FlowGraph& fg, EdgeId e) { + Amount sum = 0; + for (const auto& r : fg.records()) { + for (const auto& [f, x] : r.edges) { + if (f == e) sum += x; + } + } + return sum; +} + +} // namespace + +TEST(FlowGraph, MultiRecordCommitsPublishEachEdgeOnce) { + auto g = shared(make_graph(2, {{0, 1, 3, 1}})); + const auto dag = all_edges(*g); + FlowGraph fg(g); + const auto owner = LedgerAccess::bind(fg); + std::vector first {draft_on(dag, {{0, 1}})}; + const auto ids = LedgerAccess::commit(fg, owner, first); + // The record kept unchanged (-1, then +1: the delta passes through 0) plus a new 2-unit record. + std::vector next {draft_on(dag, {{0, 1}}, ids[0].second), draft_on(dag, {{0, 2}})}; + EXPECT_EQ(LedgerAccess::commit(fg, owner, next).size(), 1U); + EXPECT_EQ(fg.allocated(), (std::vector{3})); + EXPECT_EQ(fg.residual(), (std::vector{0})); + EXPECT_EQ(record_sum(fg, 0), 3); + // Over capacity through the same pattern: rejected, nothing changed. + const auto held = fg.records(); + const auto live = LedgerAccess::bound_owners(fg); + std::vector over {draft_on(dag, {{0, 1}}, ids[0].second), draft_on(dag, {{0, 2}}, ids[0].second + 1), + draft_on(dag, {{0, 1}})}; + EXPECT_THROW((void)LedgerAccess::commit(fg, owner, over), std::logic_error); + EXPECT_EQ(fg.allocated(), (std::vector{3})); + EXPECT_EQ(fg.records().size(), held.size()); + EXPECT_EQ(LedgerAccess::next_flow_id(fg), 2); + // A kept record gives its unit up while a new record takes the edge: published once. + std::vector moved {draft_on(dag, {}, ids[0].second), draft_on(dag, {{0, 2}}, ids[0].second + 1), + draft_on(dag, {{0, 1}})}; + EXPECT_EQ(LedgerAccess::commit(fg, owner, moved).size(), 1U); + EXPECT_EQ(fg.allocated(), (std::vector{3})); + EXPECT_EQ(record_sum(fg, 0), 3); + EXPECT_EQ(LedgerAccess::detach(fg, owner).size(), 3U); + EXPECT_EQ(fg.allocated(), (std::vector{0})); + LedgerAccess::release(fg, owner); +} + +TEST(FlowGraph, RandomMultiOwnerCommitsMatchAModel) { + // Three owners on four edges; every commit carries all of its owner's records (each kept, + // changed, emptied or moved) plus up to two new ones, so deltas cancel and reappear on shared + // edges; detaches between commits. The ledger must equal an independent model after every call, + // and a rejected commit must change nothing. + std::mt19937 rng(11); + auto g = shared(make_graph(4, {{0, 1, 6, 1}, {1, 2, 4, 1}, {2, 3, 5, 1}, {0, 3, 3, 1}})); + const auto dag = all_edges(*g); + const auto m = static_cast(g->num_edges()); + FlowGraph fg(g); + std::vector owners; + for (int i = 0; i < 3; ++i) owners.push_back(LedgerAccess::bind(fg)); + // The model: per owner, its live records (id -> per-edge amounts). + std::vector>> model(owners.size()); + std::int64_t next_id = 0; + int accepted = 0; + int rejected = 0; + auto random_edges = [&] { + std::vector a(m, 0); + for (std::size_t e = 0; e < m; ++e) a[e] = (rng() % 3) == 0 ? static_cast(rng() % 3) : 0; + return a; + }; + auto as_pairs = [](const std::vector& a) { + std::vector> out; + for (std::size_t e = 0; e < a.size(); ++e) { + if (a[e] != 0) out.emplace_back(static_cast(e), a[e]); + } + return out; + }; + for (int step = 0; step < 3000; ++step) { + const std::size_t o = rng() % owners.size(); + if ((rng() % 10) == 0) { + (void)LedgerAccess::detach(fg, owners[o]); + model[o].clear(); + } else { + std::vector drafts; + std::map> after; + for (const auto& [id, a] : model[o]) { + const auto kind = rng() % 4; // kept, changed, emptied, moved to random edges + std::vector b = a; + if (kind == 1) { + b[rng() % m] += 1; + } else if (kind == 2) { + b.assign(m, 0); + } else if (kind == 3) { + b = random_edges(); + } + drafts.push_back(draft_on(dag, as_pairs(b), id)); + after[id] = b; + } + const int fresh = static_cast(rng() % 3); + for (int k = 0; k < fresh; ++k) { + const auto b = random_edges(); + drafts.push_back(draft_on(dag, as_pairs(b))); + after[next_id + k] = b; + } + // Feasible exactly when every edge's new total stays within its capacity. + std::vector total(m, 0); + for (std::size_t q = 0; q < owners.size(); ++q) { + for (const auto& [id, a] : q == o ? after : model[q]) { + for (std::size_t e = 0; e < m; ++e) total[e] += a[e]; + } + } + bool feasible = true; + for (std::size_t e = 0; e < m; ++e) feasible = feasible && total[e] <= g->capacity_units()[e]; + const auto before = fg.allocated(); + const auto before_records = fg.records().size(); + if (feasible) { + EXPECT_EQ(LedgerAccess::commit(fg, owners[o], drafts).size(), static_cast(fresh)); + model[o] = after; + next_id += fresh; + ++accepted; + } else { + EXPECT_THROW((void)LedgerAccess::commit(fg, owners[o], drafts), std::logic_error); + EXPECT_EQ(fg.allocated(), before); + EXPECT_EQ(fg.records().size(), before_records); + ++rejected; + } + } + std::vector want(m, 0); + for (const auto& recs : model) { + for (const auto& [id, a] : recs) { + for (std::size_t e = 0; e < m; ++e) want[e] += a[e]; + } + } + ASSERT_EQ(fg.allocated(), want) << "step " << step; + for (std::size_t e = 0; e < m; ++e) ASSERT_EQ(record_sum(fg, static_cast(e)), want[e]); + ASSERT_EQ(LedgerAccess::next_flow_id(fg), next_id); + } + EXPECT_GT(accepted, 1000); + EXPECT_GT(rejected, 100); + for (auto owner : owners) LedgerAccess::release(fg, owner); +} diff --git a/tests/cpp/kernels_tests.cpp b/tests/cpp/kernels_tests.cpp new file mode 100644 index 0000000..5687699 --- /dev/null +++ b/tests/cpp/kernels_tests.cpp @@ -0,0 +1,664 @@ +// Apportionment and the placement kernels in units (APPROACH 2.1, 7, 16): the closed-form +// highest averages against the sequential definition, house monotonicity and the Hamilton hole +// control, plans (membership by kernel and priority, split-graph pruning), alloc(T) at every +// split, exact T_max, the Lossless steps of MaxFlow (replacement on V = W + own, the +// cancellation DAG, the equal-optimum and cancel-upstream controls, the release witness, the +// mixed-cost bundle), Weighted and EqualBalanced, and the Lossy steps (drops, +inf injection). +// Expected values are the closed forms and the prototype-1 fixtures named in each test. +#include + +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/kernels.hpp" +#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "test_utils.hpp" + +using namespace netgraph::core; +using namespace netgraph::core::test; +using namespace netgraph::core::detail; + +namespace { + +std::vector rr(Amount total, std::size_t k) { + std::vector out(k); + round_robin(total, out); + return out; +} + +std::vector ha(Amount total, std::vector w) { + std::vector out(w.size()); + highest_averages(total, w, out); + return out; +} + +// The sequential D'Hondt definition: each unit to the member maximising w / (a + 1), ties to +// the lower index. +std::vector ha_slow(Amount total, const std::vector& w) { + std::vector a(w.size(), 0); + for (Amount u = 0; u < total; ++u) { + std::size_t best = 0; + for (std::size_t i = 1; i < w.size(); ++i) { + if (static_cast<__int128>(w[i]) * (a[best] + 1) > static_cast<__int128>(w[best]) * (a[i] + 1)) best = i; + } + ++a[best]; + } + return a; +} + +// Hamilton (largest remainders, rejected): a control only. +std::vector hamilton(Amount total, const std::vector& w) { + const Amount sum = std::accumulate(w.begin(), w.end(), Amount {0}); + std::vector a(w.size()); + std::vector order(w.size()); + for (std::size_t i = 0; i < w.size(); ++i) { + a[i] = total * w[i] / sum; + order[i] = i; + } + std::stable_sort(order.begin(), order.end(), + [&](std::size_t x, std::size_t y) { return (total * w[x]) % sum > (total * w[y]) % sum; }); + Amount left = total - std::accumulate(a.begin(), a.end(), Amount {0}); + for (std::size_t i = 0; i < order.size() && left > 0; ++i, --left) ++a[order[i]]; + return a; +} + +// Member-aligned view of a dense per-edge array. +std::vector on_members(const KernelPlan& plan, const std::vector& dense) { + std::vector out; + for (EdgeId e : plan.members) out.push_back(dense[static_cast(e)]); + return out; +} + +// A member-aligned allocation as a dense per-edge array in input coordinates. +std::vector dense_input(const StrictMultiDiGraph& g, const KernelPlan& plan, const std::vector& alloc_m) { + std::vector by_id(static_cast(g.num_edges()), 0); + for (std::size_t m = 0; m < plan.members.size(); ++m) by_id[static_cast(plan.members[m])] = alloc_m[m]; + return to_input(g, by_id); +} + +std::vector all_ids(const StrictMultiDiGraph& g) { + std::vector out(static_cast(g.num_edges())); + std::iota(out.begin(), out.end(), 0); + return out; +} + +KernelPlan plan_of(const StrictMultiDiGraph& g, FlowPlacement p, NodeId src, std::vector dsts, + std::vector route, const std::vector& view, + EdgePriority prio = EdgePriority::Residual, Admission adm = Admission::Lossless) { + std::sort(route.begin(), route.end()); + std::vector on_route; // the creation view is route-aligned + for (EdgeId e : route) on_route.push_back(view[static_cast(e)]); + return make_plan(g, p, adm, prio, src, dsts, route, on_route); +} + +std::vector caps(const StrictMultiDiGraph& g) { + return std::vector(g.capacity_units().begin(), g.capacity_units().end()); +} + +// One Lossless step on a fresh flow at T = 0. +LosslessStep first_step(const StrictMultiDiGraph& g, const KernelPlan& plan, const std::vector& view, + std::optional request) { + const auto v = on_members(plan, view); + const std::vector own(plan.members.size(), 0); + return lossless_step(g, plan, 0, v, own, request); +} + +} // namespace + +TEST(Apportion, RoundRobinAndReviewValues) { + EXPECT_EQ(rr(7, 3), (std::vector{3, 2, 2})); + EXPECT_EQ(rr(1, 3), (std::vector{1, 0, 0})); + EXPECT_EQ(rr(0, 4), (std::vector{0, 0, 0, 0})); + const Amount big = kDomainLimit - 1; + EXPECT_EQ(rr(big, 3), (std::vector{big / 3, big / 3, big / 3})); + EXPECT_EQ(rr(big - 1, 3), (std::vector{big / 3, big / 3, big / 3 - 1})); + EXPECT_EQ(ha(10, {3, 9, 9}), (std::vector{1, 5, 4})); + EXPECT_EQ(ha(11, {3, 9, 9}), (std::vector{1, 5, 5})); + EXPECT_EQ(ha(4, {1, 3, 3}), (std::vector{0, 2, 2})); + EXPECT_EQ(ha(7, {1, 3, 3}), (std::vector{1, 3, 3})); +} + +TEST(Apportion, ClosedFormEqualsSequentialAndIsHouseMonotone) { + std::mt19937 rng(7); + int cases = 0; + for (int k = 1; k <= 20; ++k) { + for (int trial = 0; trial < 40; ++trial) { + std::vector w(static_cast(k)); + for (auto& x : w) x = 1 + static_cast(rng() % (trial < 20 ? 5 : 1000)); + std::vector prev(w.size(), 0); + for (Amount total = 0; total <= 60; ++total) { + const auto a = ha(total, w); + ASSERT_EQ(a, ha_slow(total, w)) << "k " << k << " total " << total; + for (std::size_t i = 0; i < a.size(); ++i) ASSERT_GE(a[i], prev[i]); + prev = a; + ++cases; + } + } + } + // Equal weights reduce to round robin. + for (std::size_t k = 1; k <= 9; ++k) { + for (Amount total = 0; total <= 40; ++total) EXPECT_EQ(ha(total, std::vector(k, 7)), rr(total, k)); + } + EXPECT_GT(cases, 40000); +} + +TEST(Apportion, HighestAveragesNearTheDomainBound) { + const std::vector w = {(Amount {1} << 60) + 1, (Amount {1} << 60) - 1, 7}; + const Amount total = kDomainLimit - 2; + const auto a = ha(total, w); + EXPECT_EQ(std::accumulate(a.begin(), a.end(), Amount {0}), total); + // Boundary property: every selected quotient w_i / a_i outranks every unselected one + // w_j / (a_j + 1) (ties by the lower index). + for (std::size_t i = 0; i < w.size(); ++i) { + if (a[i] == 0) continue; + for (std::size_t j = 0; j < w.size(); ++j) { + const __int128 left = static_cast<__int128>(w[i]) * (a[j] + 1); + const __int128 right = static_cast<__int128>(w[j]) * a[i]; + EXPECT_TRUE(left > right || (left == right && i <= j)) << i << " " << j; + } + } + // Many members at large totals (the heap path) against the boundary property. + std::vector wide(40); + for (std::size_t i = 0; i < wide.size(); ++i) wide[i] = (Amount {1} << 55) + static_cast(i * 7919); + const auto b = ha((Amount {1} << 61) + 12345, wide); + EXPECT_EQ(std::accumulate(b.begin(), b.end(), Amount {0}), (Amount {1} << 61) + 12345); + for (std::size_t i = 0; i < wide.size(); ++i) { + for (std::size_t j = 0; j < wide.size(); ++j) { + if (b[i] == 0) continue; + const __int128 left = static_cast<__int128>(wide[i]) * (b[j] + 1); + const __int128 right = static_cast<__int128>(wide[j]) * b[i]; + EXPECT_TRUE(left > right || (left == right && i <= j)); + } + } +} + +TEST(Apportion, HamiltonHoleControl) { + // Weights [1, 3, 3] on members with view [0, 3, 3]: highest averages is feasible on 0..4 + // (T_max = 4 exactly); Hamilton's rule has the hole at 3 ({0, 1, 2, 4}). + const std::vector w = {1, 3, 3}; + const std::vector view = {0, 3, 3}; + auto fits = [&](const std::vector& a) { + for (std::size_t i = 0; i < a.size(); ++i) { + if (a[i] > view[i]) return false; + } + return true; + }; + std::vector ha_ok, ham_ok; + for (Amount t = 0; t < 8; ++t) { + if (fits(ha(t, w))) ha_ok.push_back(t); + if (fits(hamilton(t, w))) ham_ok.push_back(t); + } + EXPECT_EQ(ha_ok, (std::vector{0, 1, 2, 3, 4})); + EXPECT_EQ(ham_ok, (std::vector{0, 1, 2, 4})); + EXPECT_EQ(hamilton(3, w), (std::vector{1, 1, 1})); + EXPECT_EQ(hamilton(4, w), (std::vector{0, 2, 2})); + // The kernel's T_max on the same plan (parallel links 1, 3, 3 with Capacity weights, link 0 + // held by a third party): exactly 4, allocation [0, 2, 2]. + auto g = make_graph(2, {{0, 1, 1, 1}, {0, 1, 3, 1}, {0, 1, 3, 1}}); + const auto plan = plan_of(g, FlowPlacement::Weighted, 0, {1}, all_ids(g), caps(g), EdgePriority::Capacity); + const auto view_dense = to_ids(g, std::vector {0, 3, 3}); + const auto tm = t_max(plan, on_members(plan, view_dense)); + EXPECT_EQ(tm.value, 4); + std::vector at4(plan.members.size()); + ASSERT_TRUE(allocate(plan, 4, at4)); + EXPECT_EQ(dense_input(g, plan, at4), (std::vector{0, 2, 2})); + std::vector at3(plan.members.size()); + ASSERT_TRUE(allocate(plan, 3, at3)); + EXPECT_EQ(dense_input(g, plan, at3), (std::vector{0, 2, 1})); +} + +TEST(Plans, MembershipByKernelAndPriority) { + // Parallel links of capacities [4, 4, 0] with residual [0, 4, 0] on the creation view. + auto g = make_graph(2, {{0, 1, 4, 1}, {0, 1, 4, 1}, {0, 1, 0, 1}}); + const auto view = to_ids(g, std::vector {0, 4, 0}); + const auto inv = id_of_input(g); + auto mf = plan_of(g, FlowPlacement::MaxFlow, 0, {1}, all_ids(g), view); + EXPECT_EQ(mf.members, (std::vector{0, 1, 2})); // MaxFlow: the view decides + auto eb = plan_of(g, FlowPlacement::EqualBalanced, 0, {1}, all_ids(g), view); + EXPECT_EQ(eb.members, (std::vector{inv[0], inv[1]})); // static capacity >= 1 + auto wr = plan_of(g, FlowPlacement::Weighted, 0, {1}, all_ids(g), view, EdgePriority::Residual); + EXPECT_EQ(wr.members, (std::vector{inv[1]})); + EXPECT_EQ(wr.weights, (std::vector{4})); + auto wc = plan_of(g, FlowPlacement::Weighted, 0, {1}, all_ids(g), view, EdgePriority::Capacity); + EXPECT_EQ(wc.members, (std::vector{inv[0], inv[1]})); + EXPECT_EQ(wc.weights, (std::vector{4, 4})); + EXPECT_THROW((void)plan_of(g, FlowPlacement::Weighted, 0, {1}, all_ids(g), view, EdgePriority::Headroom), + std::invalid_argument); + EXPECT_THROW( + (void)plan_of(g, FlowPlacement::MaxFlow, 0, {1}, all_ids(g), view, EdgePriority::Residual, Admission::Lossy), + std::invalid_argument); +} + +TEST(Plans, SplitGraphPruning) { + // E1a: EqualBalanced with a zero-capacity tail. 0->1, 0->2, 1->3, 2->4 (cap 0), 4->3: the + // branch through 2 cannot reach 3 over members, so it is pruned (no stranded unit). + auto g = make_graph(5, {{0, 1, 2, 1}, {0, 2, 2, 1}, {1, 3, 2, 1}, {2, 4, 0, 1}, {4, 3, 2, 1}}); + const auto inv = id_of_input(g); + auto eb = plan_of(g, FlowPlacement::EqualBalanced, 0, {3}, all_ids(g), caps(g)); + std::vector want = {inv[0], inv[2]}; + std::sort(want.begin(), want.end()); + EXPECT_EQ(eb.members, want); + std::vector a(eb.members.size()); + ASSERT_TRUE(allocate(eb, 2, a)); + EXPECT_EQ(dense_input(g, eb, a), (std::vector{2, 0, 2, 0, 0})); + // Destinations are terminal; a destination set keeps both destinations. + auto g2 = make_graph(4, {{0, 1, 3, 1}, {1, 2, 3, 1}, {0, 2, 3, 2}, {2, 3, 3, 1}}); + auto any = plan_of(g2, FlowPlacement::EqualBalanced, 0, {1, 2}, all_ids(g2), caps(g2)); + const auto inv2 = id_of_input(g2); + std::vector want2 = {inv2[0], inv2[2]}; // 1->2 leaves destination 1; 2->3 leaves 2 + std::sort(want2.begin(), want2.end()); + EXPECT_EQ(any.members, want2); + EXPECT_EQ(route_cost(g2, any), 1); + // An empty split graph: route cost unreachable, T_max 0. + auto none = plan_of(g, FlowPlacement::EqualBalanced, 0, {3}, std::vector {inv[1], inv[3]}, caps(g)); + EXPECT_TRUE(none.members.empty()); + EXPECT_EQ(route_cost(g, none), kUnreachable); + EXPECT_EQ(t_max(none, {}).value, 0); +} + +TEST(Plans, RoutePlanOnTheDagEqualsTheEdgeListPlan) { + // make_route_plan walks the bundle's own predecessor lists; make_plan prunes an ascending edge + // list. On random DAGs (parallel edges, zero capacities, statically excluded edges and nodes, + // edges into the source and out of a destination, one or two destinations) both give the same + // split graph (members, topological structure, weights), the same route cost and the same + // allocations. + std::mt19937 rng(2024); + int compared = 0; + for (int trial = 0; trial < 2000; ++trial) { + const int n = 3 + static_cast(rng() % 8); + std::vector edges; + for (int i = 0; i < 2 * n + static_cast(rng() % 10); ++i) { + const NodeId u = static_cast(rng() % static_cast(n - 1)); + const NodeId v = static_cast(u + 1 + rng() % static_cast(n - 1 - u)); + const Amount cap = (rng() % 6) == 0 ? 0 : 1 + static_cast(rng() % 9); + edges.push_back({u, v, cap, 1 + static_cast(rng() % 4)}); + } + auto g = make_graph(n, edges); + std::vector all(static_cast(g.num_edges())); + std::iota(all.begin(), all.end(), 0); + std::vector in_bundle; + for (EdgeId e : all) { + if ((rng() % 5) != 0) in_bundle.push_back(e); + } + const auto bundle = PredDAGBuilder::from_edges(g, in_bundle); + const NodeId src = static_cast(rng() % static_cast(n)); + std::vector dsts; + for (int k = 0; k < 1 + static_cast(rng() % 2); ++k) { + const NodeId d = static_cast(rng() % static_cast(n)); + if (d != src && std::find(dsts.begin(), dsts.end(), d) == dsts.end()) dsts.push_back(d); + } + if (dsts.empty()) continue; + std::sort(dsts.begin(), dsts.end()); + std::optional elig; + if ((rng() % 3) == 0) { + std::vector xn; + std::vector xe; + if ((rng() % 2) == 0) xn.push_back(static_cast(rng() % static_cast(n))); + for (EdgeId e : all) { + if ((rng() % 7) == 0) xe.push_back(e); + } + elig = g.eligibility(xn, xe); + } + const auto capacity = g.capacity_units(); + std::vector usable; + for (EdgeId e : PredDAGBuilder::ascending(bundle)) { + if (capacity[static_cast(e)] >= 1 && (!elig || elig->edge_ok(e))) usable.push_back(e); + } + for (const auto kernel : {FlowPlacement::EqualBalanced, FlowPlacement::Weighted}) { + Cost cost = -1; + const auto on_dag = make_route_plan(g, kernel, Admission::Lossless, EdgePriority::Capacity, src, dsts, bundle, + elig ? &*elig : nullptr, &cost); + const auto on_list = make_plan(g, kernel, Admission::Lossless, EdgePriority::Capacity, src, dsts, usable, {}); + ASSERT_EQ(on_dag.members, on_list.members) << "trial " << trial; + EXPECT_EQ(on_dag.route, on_list.members); + EXPECT_EQ(on_dag.topo, on_list.topo); + EXPECT_EQ(on_dag.out_begin, on_list.out_begin); + EXPECT_EQ(on_dag.out_end, on_list.out_end); + EXPECT_EQ(on_dag.head_pos, on_list.head_pos); + EXPECT_EQ(on_dag.terminal, on_list.terminal); + EXPECT_EQ(on_dag.weights, on_list.weights); + EXPECT_EQ(cost, route_cost(g, on_list)) << "trial " << trial; + EXPECT_EQ(cost, route_cost(g, on_dag)); + std::vector a(on_dag.members.size()); + std::vector b(on_list.members.size()); + for (Amount t : {Amount {0}, Amount {1}, Amount {7}, Amount {50}}) { + if (on_dag.members.empty() && t != 0) continue; + EXPECT_TRUE(allocate(on_dag, t, a)); + EXPECT_TRUE(allocate(on_list, t, b)); + EXPECT_EQ(a, b); + } + if (!on_dag.members.empty()) ++compared; + } + } + EXPECT_GT(compared, 1000); +} + +TEST(Allocation, Review14SplitAndReconvergeEveryIntermediateValue) { + // Prototype 1 fixture apportion_house_monotone_dag: capacities 20 x weights, baseline view. + const std::vector> dag = {{0, 1}, {0, 2}, {1, 3}, {1, 4}, {2, 3}, {2, 4}, {3, 5}, {4, 5}}; + const std::vector w = {2, 7, 1, 4, 3, 2, 1, 1}; + const std::vector view_in = {8, 20, 4, 9, 10, 10, 15, 15}; + std::vector edges; + for (std::size_t i = 0; i < dag.size(); ++i) edges.push_back({dag[i].first, dag[i].second, 20 * w[i], 1}); + auto g = make_graph(6, edges); + const auto view = to_ids(g, view_in); + for (auto kernel : {FlowPlacement::Weighted, FlowPlacement::EqualBalanced}) { + // Independent per-node reference on input positions (node ids are topological). + auto ref = [&](Amount total) { + std::vector inflow(6, 0), out(dag.size(), 0); + inflow[0] = total; + for (NodeId u = 0; u < 5; ++u) { + std::vector mine; + for (std::size_t i = 0; i < dag.size(); ++i) { + if (dag[i].first == u) mine.push_back(i); + } + if (mine.empty() || inflow[static_cast(u)] == 0) continue; + std::vector ww; + for (auto i : mine) ww.push_back(w[i]); + const auto parts = kernel == FlowPlacement::Weighted ? ha_slow(inflow[static_cast(u)], ww) + : rr(inflow[static_cast(u)], mine.size()); + for (std::size_t j = 0; j < mine.size(); ++j) { + out[mine[j]] = parts[j]; + inflow[static_cast(dag[mine[j]].second)] += parts[j]; + } + } + return out; + }; + Amount brute = 0; + for (Amount t = 0; t <= 100; ++t) { + const auto a = ref(t); + bool ok = true; + for (std::size_t i = 0; i < a.size(); ++i) ok = ok && a[i] <= view_in[i]; + if (ok) brute = t; + } + const auto plan = plan_of(g, kernel, 0, {5}, all_ids(g), caps(g), EdgePriority::Capacity); + const auto vm = on_members(plan, view); + std::vector own(plan.members.size(), 0); + Amount total = 0; + int steps = 0; + while (true) { + const auto step = lossless_step(g, plan, total, vm, own, 1); + if (step.total == total) break; + ++steps; + for (std::size_t m = 0; m < own.size(); ++m) ASSERT_GE(step.alloc[m], own[m]); // member-monotone + EXPECT_EQ(dense_input(g, plan, step.alloc), ref(step.total)); + total = step.total; + own = step.alloc; + } + EXPECT_EQ(total, brute); + EXPECT_EQ(t_max(plan, vm).value, brute); + const auto one = first_step(g, plan, view, brute); + EXPECT_EQ(one.alloc, own); // one call of T_max equals the calls of 1 + EXPECT_GT(steps, 5); + } +} + +TEST(Allocation, EqualBalancedOnePlusTwoEqualsThree) { + // Review-13 EB reconvergence DAG (prototype 1 apportion_house_monotone_dag, second part). + const std::vector> recon = {{0, 1}, {0, 2}, {0, 3}, {1, 4}, {2, 4}, + {3, 4}, {4, 5}, {4, 6}, {5, 7}, {6, 7}}; + std::vector edges; + for (auto [u, v] : recon) edges.push_back({u, v, 100, 1}); + auto g = make_graph(8, edges); + const auto plan = plan_of(g, FlowPlacement::EqualBalanced, 0, {7}, all_ids(g), caps(g)); + const auto vm = on_members(plan, caps(g)); + std::vector own(plan.members.size(), 0); + auto s1 = lossless_step(g, plan, 0, vm, own, 1); + EXPECT_EQ(dense_input(g, plan, s1.alloc), (std::vector{1, 0, 0, 1, 0, 0, 1, 0, 1, 0})); + auto s2 = lossless_step(g, plan, s1.total, vm, s1.alloc, 2); + EXPECT_EQ(dense_input(g, plan, s2.alloc), (std::vector{1, 1, 1, 1, 1, 1, 2, 1, 2, 1})); + EXPECT_EQ(first_step(g, plan, caps(g), 3).alloc, s2.alloc); +} + +TEST(Allocation, TMaxExactAgainstBruteForce) { + std::mt19937 rng(99); + int checked = 0; + for (int trial = 0; trial < 400; ++trial) { + const int n = 3 + static_cast(rng() % 5); + std::vector edges; + for (int i = 0; i < 2 * n + static_cast(rng() % 6); ++i) { + const NodeId u = static_cast(rng() % (n - 1)); + const NodeId v = static_cast(u + 1 + rng() % static_cast(n - 1 - u)); + edges.push_back({u, v, 1 + static_cast(rng() % 9), 1}); + } + auto g = make_graph(n, edges); + std::vector view(static_cast(g.num_edges())); + for (std::size_t e = 0; e < view.size(); ++e) { + view[e] = static_cast(rng() % static_cast(g.capacity_units()[e] + 1)); + } + const auto kernel = (rng() % 2) == 0 ? FlowPlacement::Weighted : FlowPlacement::EqualBalanced; + const auto plan = plan_of(g, kernel, 0, {n - 1}, all_ids(g), caps(g), EdgePriority::Capacity); + if (plan.members.empty()) continue; + const auto vm = on_members(plan, view); + const auto tm = t_max(plan, vm); + EXPECT_LE(tm.iterations, 62); + Amount brute = 0; + std::vector a(plan.members.size()); + for (Amount t = 0; t <= 200; ++t) { + if (allocate(plan, t, a, vm)) brute = t; + } + ASSERT_EQ(tm.value, brute) << "trial " << trial; + // At T_max some member is exactly full and the next unit overfills one. + ASSERT_TRUE(allocate(plan, brute, a, vm)); + std::vector next(plan.members.size()); + EXPECT_FALSE(allocate(plan, brute + 1, next, vm)); + ++checked; + } + EXPECT_GT(checked, 300); +} + +TEST(Allocation, TMaxSearchIsExactAndWithinTheProbeBudgetOnLargeRanges) { + // Capacities and views up to 2^58 units (search ranges near 2^62 at the source): the seeded + // search must return the same T as a plain bisection from 0 and probe at most 62 times, also + // when its floating-point estimate is far off (a member capped near zero deep in the DAG). + std::mt19937_64 rng(1234); + int checked = 0; + for (int trial = 0; trial < 300; ++trial) { + const int n = 3 + static_cast(rng() % 6); + std::vector edges; + for (int i = 0; i < 2 * n + static_cast(rng() % 8); ++i) { + const NodeId u = static_cast(rng() % static_cast(n - 1)); + const NodeId v = static_cast(u + 1 + rng() % static_cast(n - 1 - u)); + edges.push_back({u, v, 1 + static_cast(rng() % (std::uint64_t {1} << 58)), 1}); + } + auto g = make_graph(n, edges); + std::vector view(static_cast(g.num_edges())); + for (std::size_t e = 0; e < view.size(); ++e) { + const Amount c = g.capacity_units()[e]; + view[e] = (rng() % 4) == 0 ? static_cast(rng() % 3) : static_cast(rng() % static_cast(c + 1)); + } + const auto kernel = (rng() % 2) == 0 ? FlowPlacement::Weighted : FlowPlacement::EqualBalanced; + const auto plan = plan_of(g, kernel, 0, {n - 1}, all_ids(g), caps(g), EdgePriority::Capacity); + if (plan.members.empty()) continue; + const auto vm = on_members(plan, view); + const auto tm = t_max(plan, vm); + EXPECT_LE(tm.iterations, 62); + // Reference: plain bisection on [0, hi] with the same exact predicate. + Amount hi = 0; + for (auto k = plan.src_out_begin; k < plan.src_out_end; ++k) hi += vm[static_cast(k)]; + std::vector a(plan.members.size()); + Amount lo = 0; + while (lo < hi) { + const Amount mid = lo + (hi - lo + 1) / 2; + if (allocate(plan, mid, a, vm)) lo = mid; else hi = mid - 1; + } + ASSERT_EQ(tm.value, lo) << "trial " << trial; + // The Lossless step from T = 0 with a request beyond the maximum lands on the same T. + const std::vector zero(plan.members.size(), 0); + const auto step = lossless_step(g, plan, 0, vm, zero, kDomainLimit - 1); + EXPECT_EQ(step.total, lo); + EXPECT_LE(step.iterations, 62); + ++checked; + } + EXPECT_GT(checked, 200); +} + +TEST(MaxFlowKernel, CancellationDagGivesTwo) { + // Review-5 V3 (prototype 1 maxflow_cancellation_dag): place(1) takes 0-1-3-5, the next + // place(1) re-solves on V = W + own and returns the unique value-2 flow (1->3 goes to 0). + const std::vector> pairs = {{0, 1}, {0, 2}, {1, 3}, {1, 4}, {2, 3}, {3, 5}, {4, 5}}; + std::vector edges; + for (auto [u, v] : pairs) edges.push_back({u, v, 1, 1}); + auto g = make_graph(6, edges); + const auto plan = plan_of(g, FlowPlacement::MaxFlow, 0, {5}, all_ids(g), caps(g)); + auto s1 = first_step(g, plan, caps(g), 1); + EXPECT_EQ(dense_input(g, plan, s1.alloc), (std::vector{1, 0, 1, 0, 0, 1, 0})); + // The flow's own allocation is in its view (W + own = capacities here). + auto s2 = lossless_step(g, plan, s1.total, on_members(plan, caps(g)), s1.alloc, 1); + EXPECT_EQ(s2.total, 2); + EXPECT_EQ(dense_input(g, plan, s2.alloc), (std::vector{1, 1, 0, 1, 1, 1, 1})); + auto s3 = lossless_step(g, plan, s2.total, on_members(plan, caps(g)), s2.alloc, 1); + EXPECT_EQ(s3.total, 2); + EXPECT_EQ(first_step(g, plan, caps(g), 2).alloc, s2.alloc); + EXPECT_EQ(first_step(g, plan, caps(g), std::nullopt).total, 2); +} + +namespace { + +// Review-9 witness edges (prototype 1 CANCEL_EDGES): s=0; A=1, B=2, C=3; X=4, Y=5; t=6. +std::vector cancel_edges(Cost b_to_y = 9) { + return {{0, 1, 1, 1}, {0, 2, 1, 1}, {0, 3, 1, 1}, {1, 4, 1, 2}, {1, 5, 1, 9}, + {2, 4, 1, 1}, {2, 5, 1, b_to_y}, {3, 4, 1, 3}, {4, 6, 2, 1}, {5, 6, 1, 1}}; +} + +} // namespace + +TEST(MaxFlowKernel, CancelUpstreamMixedCost) { + auto g = make_graph(7, cancel_edges()); + const auto plan = plan_of(g, FlowPlacement::MaxFlow, 0, {6}, all_ids(g), caps(g)); + const std::vector final_alloc = {1, 1, 1, 0, 1, 1, 0, 1, 2, 1}; + auto one = first_step(g, plan, caps(g), 3); + EXPECT_EQ(dense_input(g, plan, one.alloc), final_alloc); + // The sequence 1, 1, 1 with the third call cancelling A->X upstream (a signed delta). + const std::vector> seq = { + {0, 1, 0, 0, 0, 1, 0, 0, 1, 0}, {1, 1, 0, 1, 0, 1, 0, 0, 2, 0}, final_alloc}; + std::vector own(plan.members.size(), 0); + Amount total = 0; + for (const auto& want : seq) { + auto s = lossless_step(g, plan, total, on_members(plan, caps(g)), own, 1); + EXPECT_EQ(s.total, total + 1); + EXPECT_EQ(dense_input(g, plan, s.alloc), want); + total = s.total; + own = s.alloc; + } + // The minimum cost over the bundle: curve (3, 1), (4, 1), (12, 1) totals 19. + Cost cost = 0; + const auto a = dense_input(g, plan, own); + for (std::size_t i = 0; i < a.size(); ++i) cost += a[i] * cancel_edges()[i].cost; + EXPECT_EQ(cost, 19); +} + +TEST(MaxFlowKernel, EqualOptimumControlFollowsBPrimeArcOrder) { + // Rule-20 control: with cost(B->Y) = 8 two value-3 optima cost 19; ascending B' arcs pick the + // flow with Y fed by A, so a later demand on A->X still finds its unit. + auto g = make_graph(7, cancel_edges(8)); + const auto plan = plan_of(g, FlowPlacement::MaxFlow, 0, {6}, all_ids(g), caps(g)); + auto s = first_step(g, plan, caps(g), 3); + EXPECT_EQ(dense_input(g, plan, s.alloc), (std::vector{1, 1, 1, 0, 1, 1, 0, 1, 2, 1})); +} + +TEST(MaxFlowKernel, ReleaseWitnessAndMixedCostBundle) { + // Release witness: two parallel links of cost 4 and 2; the cheap one is held by another owner + // at the first call (the flow takes cost 4); after the release the re-solve on the new view + // moves the unit to the cheap link (placed 0 in that call, allocation moved). + auto g = make_graph(2, {{0, 1, 1, 4}, {0, 1, 1, 2}}); + const auto plan = plan_of(g, FlowPlacement::MaxFlow, 0, {1}, all_ids(g), caps(g)); + const auto held = to_ids(g, std::vector {1, 0}); + auto s1 = first_step(g, plan, held, 1); + EXPECT_EQ(dense_input(g, plan, s1.alloc), (std::vector{1, 0})); + const auto released = to_ids(g, std::vector {0, 1}); // W after the release; own adds 1 on cost 4 + std::vector v(plan.members.size()); + for (std::size_t m = 0; m < v.size(); ++m) v[m] = released[static_cast(plan.members[m])] + s1.alloc[m]; + auto s2 = lossless_step(g, plan, 1, v, s1.alloc, 1); + EXPECT_EQ(s2.total, 2); + // Request 0 more is never sent; a capped re-solve at the same T moves the unit (cost 2). + auto s3 = lossless_step(g, plan, 1, v, s1.alloc, 0); + EXPECT_EQ(s3.total, 1); + EXPECT_EQ(dense_input(g, plan, s3.alloc), (std::vector{0, 1})); + // Review-13 D4: on a mixed-cost bundle the 1 + 1 + 1 chain fills before the cost-4 edge. + auto g2 = make_graph(4, {{0, 1, 1, 1}, {1, 2, 1, 1}, {2, 3, 1, 1}, {0, 3, 1, 4}}); + const auto p2 = plan_of(g2, FlowPlacement::MaxFlow, 0, {3}, all_ids(g2), caps(g2)); + EXPECT_EQ(dense_input(g2, p2, first_step(g2, p2, caps(g2), 1).alloc), (std::vector{1, 1, 1, 0})); + EXPECT_EQ(route_cost(g2, p2), 3); +} + +TEST(WeightedKernel, CapacityVersusResidualMembershipAfterOccupancy) { + // Prototype 1 weighted_capacity_vs_residual_after_occupancy: parallel links [4, 4], another + // owner holds 3 on link 0 (residual [1, 4]). + auto g = make_graph(2, {{0, 1, 4, 1}, {0, 1, 4, 1}}); + auto run = [&](EdgePriority prio, std::vector residual_in, Amount request) { + const auto w = to_ids(g, residual_in); + const auto plan = plan_of(g, FlowPlacement::Weighted, 0, {1}, all_ids(g), w, prio); + auto s = first_step(g, plan, w, request); + return std::make_pair(s.total, dense_input(g, plan, s.alloc)); + }; + EXPECT_EQ(run(EdgePriority::Residual, {1, 4}, 5), std::make_pair(Amount {5}, std::vector{1, 4})); + EXPECT_EQ(run(EdgePriority::Capacity, {1, 4}, 5), std::make_pair(Amount {2}, std::vector{1, 1})); + EXPECT_EQ(run(EdgePriority::Residual, {0, 4}, 5), std::make_pair(Amount {4}, std::vector{0, 4})); + EXPECT_EQ(run(EdgePriority::Capacity, {0, 4}, 5), std::make_pair(Amount {0}, std::vector{0, 0})); + // Frozen plans after the owner leaves: Capacity grows to 5 as [3, 2]; Residual stays at 4. + const auto held = to_ids(g, std::vector {0, 4}); + const auto free = to_ids(g, std::vector {4, 4}); + const auto pc = plan_of(g, FlowPlacement::Weighted, 0, {1}, all_ids(g), held, EdgePriority::Capacity); + auto c = lossless_step(g, pc, 0, on_members(pc, free), std::vector(pc.members.size(), 0), 5); + EXPECT_EQ(dense_input(g, pc, c.alloc), (std::vector{3, 2})); + const auto pr = plan_of(g, FlowPlacement::Weighted, 0, {1}, all_ids(g), held, EdgePriority::Residual); + auto first = first_step(g, pr, held, 5); + // After the release V = W + own on the one member is its capacity 4. + auto again = lossless_step(g, pr, first.total, on_members(pr, free), first.alloc, 5); + EXPECT_EQ(again.total, 4); // the plan has one member; weights never renormalised +} + +TEST(WeightedKernel, OnePlusFiveEqualsSix) { + // Additivity on a fixed plan (prototype 1 weighted_1_plus_5_vs_6): weights 2 and 6 at the + // source. + auto g = make_graph(3, {{0, 1, 2, 1}, {0, 2, 6, 1}, {1, 2, 9, 1}}); + const auto plan = plan_of(g, FlowPlacement::Weighted, 0, {2}, all_ids(g), caps(g), EdgePriority::Capacity); + const auto vm = on_members(plan, caps(g)); + std::vector zero(plan.members.size(), 0); + auto a = lossless_step(g, plan, 0, vm, zero, 1); + auto b = lossless_step(g, plan, a.total, vm, a.alloc, 5); + auto c = lossless_step(g, plan, 0, vm, zero, 6); + EXPECT_EQ(b.total, c.total); + EXPECT_EQ(b.alloc, c.alloc); +} + +TEST(LossyKernel, DiamondDropsAndInfiniteInjection) { + // Prototype 1 lossy_diamond: source links 10/10, tails 1/10. + auto g = make_graph(4, {{0, 1, 10, 1}, {0, 2, 10, 1}, {1, 3, 1, 1}, {2, 3, 10, 1}}); + for (auto kernel : {FlowPlacement::EqualBalanced, FlowPlacement::Weighted}) { + const auto plan = plan_of(g, kernel, 0, {3}, all_ids(g), caps(g), EdgePriority::Residual, Admission::Lossy); + auto w = on_members(plan, caps(g)); + auto s = lossy_step(plan, 10, w); + EXPECT_EQ(s.offered, 10); + EXPECT_EQ(s.injected, 10); + EXPECT_EQ(s.delivered, 6); + EXPECT_EQ(dense_input(g, plan, s.carried), (std::vector{5, 5, 1, 5})); + EXPECT_EQ(dense_input(g, plan, s.drops), (std::vector{0, 0, 4, 0})); + // Infinite offer: every source member injected to its residual. + auto inf = lossy_step(plan, std::nullopt, w); + EXPECT_EQ(inf.offered, 20); + EXPECT_EQ(inf.delivered, 11); + EXPECT_EQ(dense_input(g, plan, inf.drops), (std::vector{0, 0, 9, 0})); + } + // Highest averages at every node for Lossy Weighted: Capacity weights [1, 3, 3] split 7 as + // [1, 3, 3] (prototype 1 lossy_weighted_highest_averages). + auto g2 = make_graph(2, {{0, 1, 1, 1}, {0, 1, 3, 1}, {0, 1, 3, 1}}); + const auto p2 = plan_of(g2, FlowPlacement::Weighted, 0, {1}, all_ids(g2), caps(g2), EdgePriority::Capacity, + Admission::Lossy); + auto s2 = lossy_step(p2, 7, on_members(p2, caps(g2))); + EXPECT_EQ(dense_input(g2, p2, s2.carried), (std::vector{1, 3, 3})); + EXPECT_EQ(s2.delivered, 7); + // A source without members injects nothing (the offer is a source drop). + auto g3 = make_graph(2, {{0, 1, 0, 1}}); + const auto p3 = plan_of(g3, FlowPlacement::EqualBalanced, 0, {1}, all_ids(g3), caps(g3), EdgePriority::Residual, + Admission::Lossy); + auto s3 = lossy_step(p3, 5, {}); + EXPECT_EQ(s3.offered, 5); + EXPECT_EQ(s3.injected, 0); + EXPECT_EQ(s3.delivered, 0); +} diff --git a/tests/cpp/ledger_fault_tests.cpp b/tests/cpp/ledger_fault_tests.cpp new file mode 100644 index 0000000..d343dcd --- /dev/null +++ b/tests/cpp/ledger_fault_tests.cpp @@ -0,0 +1,388 @@ +// Allocation-failure atomicity of the ledger and the single-bundle transaction (APPROACH 8, +// 9.2; review-1b D1). This executable replaces the global operator new so that one chosen +// allocation throws std::bad_alloc. Every operation is swept over every allocation it makes: +// after each injected failure the ledger (aggregate, residual, every record field, bound and +// orphaned owners, next FlowId) and the policy (epoch state, flow id, plan) must equal their +// state before the call, the per-thread scratch must not be poisoned (a clean retry gives the +// reference result), and remove() must restore the state before the policy placed anything. +#include + +#include +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/ledger_access.hpp" +#include "netgraph/core/detail/node_map.hpp" +#include "netgraph/core/detail/pinned_flow.hpp" +#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/flow_graph.hpp" +#include "test_utils.hpp" + +namespace { +// Allocations left before the injected failure; negative: no injection. +long g_countdown = -1; +} // namespace + +void* operator new(std::size_t n) { + if (g_countdown >= 0 && g_countdown-- == 0) throw std::bad_alloc(); + if (void* p = std::malloc(n == 0 ? 1 : n)) return p; + throw std::bad_alloc(); +} +void* operator new[](std::size_t n) { return ::operator new(n); } +void operator delete(void* p) noexcept { std::free(p); } +void operator delete[](void* p) noexcept { std::free(p); } +void operator delete(void* p, std::size_t) noexcept { std::free(p); } +void operator delete[](void* p, std::size_t) noexcept { std::free(p); } + +using namespace netgraph::core; +using namespace netgraph::core::test; +using detail::LedgerAccess; +using detail::PinnedFlow; +using detail::PinnedResult; + +namespace { + +// Runs fn with the k-th allocation (from 0) failing; returns whether that failure happened. +bool fails_at(long k, const std::function& fn) { + g_countdown = k; + bool failed = false; + try { + fn(); + } catch (const std::bad_alloc&) { + failed = true; + } + const bool reached = g_countdown < 0; + g_countdown = -1; + EXPECT_EQ(failed, reached) << "a std::bad_alloc was swallowed or replaced at allocation " << k; + return failed; +} + +struct Snapshot { + std::vector allocated; + std::vector residual; + std::vector records; + std::int64_t next_id {0}; + std::vector bound; + std::vector orphans; +}; + +// Records keep their local ids only: the reference sequence runs on another ledger (uid). +Snapshot snapshot(const FlowGraph& fg) { + Snapshot s {fg.allocated(), fg.residual(), fg.records(), LedgerAccess::next_flow_id(fg), + LedgerAccess::bound_owners(fg), LedgerAccess::orphan_owners(fg)}; + for (auto& r : s.records) { + EXPECT_EQ(r.flow_id.first, fg.uid()); + r.flow_id.first = 0; + } + return s; +} + +bool same(const FlowRecord& a, const FlowRecord& b) { + return a.flow_id == b.flow_id && a.owner == b.owner && a.sources == b.sources && a.destinations == b.destinations && + a.placement == b.placement && a.admission == b.admission && a.bundle && b.bundle && *a.bundle == *b.bundle && + a.route_cost == b.route_cost && a.offered == b.offered && a.delivered == b.delivered && a.edges == b.edges && + a.drops == b.drops; +} + +void expect_same(const Snapshot& a, const Snapshot& b, const std::string& where) { + EXPECT_EQ(a.allocated, b.allocated) << where; + EXPECT_EQ(a.residual, b.residual) << where; + EXPECT_EQ(a.next_id, b.next_id) << where; + EXPECT_EQ(a.bound, b.bound) << where; + EXPECT_EQ(a.orphans, b.orphans) << where; + ASSERT_EQ(a.records.size(), b.records.size()) << where; + for (std::size_t i = 0; i < a.records.size(); ++i) EXPECT_TRUE(same(a.records[i], b.records[i])) << where << " record " << i; +} + +// The ledger invariant: the aggregate is the sum of the records, within [0, baseline]. +void expect_balanced(const FlowGraph& fg, const std::string& where) { + std::vector sum(fg.allocated().size(), 0); + for (const auto& r : fg.records()) { + for (const auto& [e, x] : r.edges) sum[static_cast(e)] += x; + } + EXPECT_EQ(sum, fg.allocated()) << where; + for (Amount x : fg.residual()) EXPECT_GE(x, 0) << where; +} + +struct Epoch { + Counter128 requested; + bool infinite {false}; + std::optional flow_id; + bool planned {false}; + Amount placed {0}; +}; + +Epoch epoch(const PinnedFlow& p) { + auto id = p.flow_id(); + if (id.has_value()) id->first = 0; + return {p.requested(), p.infinite(), id, p.plan() != nullptr, p.placed_demand()}; +} + +void expect_same(const Epoch& a, const Epoch& b, const std::string& where) { + EXPECT_EQ(a.requested, b.requested) << where; + EXPECT_EQ(a.infinite, b.infinite) << where; + EXPECT_EQ(a.flow_id, b.flow_id) << where; + EXPECT_EQ(a.planned, b.planned) << where; + EXPECT_EQ(a.placed, b.placed) << where; +} + +void expect_same(const PinnedResult& a, const PinnedResult& b, const std::string& where) { + EXPECT_EQ(a.placed, b.placed) << where; + EXPECT_EQ(a.remaining, b.remaining) << where; + EXPECT_EQ(a.termination, b.termination) << where; + EXPECT_EQ(a.routes_changed, b.routes_changed) << where; + EXPECT_EQ(a.drops, b.drops) << where; + EXPECT_EQ(a.iterations, b.iterations) << where; +} + +struct Kernel { + FlowPlacement placement; + Admission admission; + EdgePriority priority; +}; + +const std::vector& kernels() { + static const std::vector all = { + {FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual}, + {FlowPlacement::Weighted, Admission::Lossless, EdgePriority::Residual}, + {FlowPlacement::Weighted, Admission::Lossless, EdgePriority::Capacity}, + {FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual}, + {FlowPlacement::EqualBalanced, Admission::Lossy, EdgePriority::Residual}, + {FlowPlacement::Weighted, Admission::Lossy, EdgePriority::Capacity}, + }; + return all; +} + +struct Case { + std::string name; + std::shared_ptr g; + NodeId src; + NodeId dst; +}; + +std::vector cases() { + auto shared = [](StrictMultiDiGraph g) { return std::make_shared(std::move(g)); }; + return { + {"edge", shared(make_graph(2, {{0, 1, 9, 1}})), 0, 1}, + {"chain", shared(make_graph(3, {{0, 1, 9, 1}, {1, 2, 9, 1}})), 0, 2}, + // Split, reconvergence, a parallel pair and a costlier branch. + {"diamond", shared(make_graph(5, {{0, 1, 7, 1}, {0, 2, 5, 1}, {1, 3, 4, 1}, {1, 3, 3, 1}, {2, 3, 9, 1}, + {3, 4, 20, 1}, {0, 4, 2, 5}})), + 0, 4}, + }; +} + +std::shared_ptr all_edges(const StrictMultiDiGraph& g) { + std::vector e(static_cast(g.num_edges())); + for (std::size_t i = 0; i < e.size(); ++i) e[i] = static_cast(i); + return std::make_shared(detail::PredDAGBuilder::from_edges(g, e)); +} + +// One scenario: a third party holding 1 unit on every edge, then the policy's earlier calls, +// then the call under test. +struct Scenario { + std::vector> before; + std::optional call; + std::string name; +}; + +const std::vector& scenarios() { + static const std::vector all = { + {{}, 2, "create"}, + {{1}, 2, "update"}, + {{1}, std::nullopt, "update to +inf"}, + {{}, std::nullopt, "create at +inf"}, + }; + return all; +} + +} // namespace + +TEST(LedgerFaults, EveryAllocationOfAPlacementFailsAtomically) { + int sweeps = 0; + long injected = 0; + for (const auto& c : cases()) { + const auto dag = all_edges(*c.g); + for (const auto& k : kernels()) { + for (const auto& sc : scenarios()) { + const std::string where = c.name + " kernel " + std::to_string(static_cast(k.placement)) + "/" + + std::to_string(static_cast(k.admission)) + "/" + + std::to_string(static_cast(k.priority)) + " " + sc.name; + // The reference: the same sequence without a failure. + FlowGraph ref(c.g); + PinnedFlow third_ref(ref, c.src, c.dst, dag, FlowPlacement::EqualBalanced, Admission::Lossless, + EdgePriority::Residual); + (void)third_ref.place(1); + PinnedFlow pref(ref, c.src, c.dst, dag, k.placement, k.admission, k.priority); + for (auto v : sc.before) (void)pref.place(v); + const Snapshot initial = snapshot(ref); + const PinnedResult want = pref.place(sc.call); + const Snapshot after = snapshot(ref); + const Epoch want_epoch = epoch(pref); + pref.remove(); + const Snapshot removed = snapshot(ref); + ++sweeps; + for (long at = 0;; ++at) { + const std::string w = where + " allocation " + std::to_string(at); + FlowGraph fg(c.g); + PinnedFlow third(fg, c.src, c.dst, dag, FlowPlacement::EqualBalanced, Admission::Lossless, + EdgePriority::Residual); + (void)third.place(1); + PinnedFlow p(fg, c.src, c.dst, dag, k.placement, k.admission, k.priority); + for (auto v : sc.before) (void)p.place(v); + const Snapshot before = snapshot(fg); + const Epoch before_epoch = epoch(p); + expect_same(before, initial, w + " (setup)"); + PinnedResult got; + if (!fails_at(at, [&] { got = p.place(sc.call); })) { + expect_same(got, want, w + " (no failure)"); + expect_same(snapshot(fg), after, w + " (no failure)"); + break; + } + ++injected; + // Failed: nothing changed, ledger and policy. + expect_same(snapshot(fg), before, w + " (failed call)"); + expect_same(epoch(p), before_epoch, w + " (failed call)"); + expect_balanced(fg, w + " (failed call)"); + // A clean retry is the reference call (no poisoned per-thread scratch). + expect_same(p.place(sc.call), want, w + " (retry)"); + expect_same(snapshot(fg), after, w + " (retry)"); + expect_same(epoch(p), want_epoch, w + " (retry)"); + expect_balanced(fg, w + " (retry)"); + p.remove(); + expect_same(snapshot(fg), removed, w + " (remove)"); + if (::testing::Test::HasFailure()) return; + } + } + } + } + EXPECT_EQ(sweeps, 3 * 6 * 4); + EXPECT_GT(injected, sweeps * 5); // not vacuous: every placement allocates +} + +TEST(LedgerFaults, PolicyConstructionFailsWithoutBinding) { + for (const auto& c : cases()) { + const auto dag = all_edges(*c.g); + for (const auto& k : kernels()) { + for (long at = 0;; ++at) { + FlowGraph fg(c.g); + { + PinnedFlow other(fg, c.src, c.dst, dag, FlowPlacement::EqualBalanced, Admission::Lossless, + EdgePriority::Residual); + (void)other.place(1); + } // an orphan + const Snapshot before = snapshot(fg); + std::optional p; + if (!fails_at(at, [&] { p.emplace(fg, c.src, c.dst, dag, k.placement, k.admission, k.priority); })) { + EXPECT_EQ(LedgerAccess::bound_owners(fg).size(), 1U); + break; + } + expect_same(snapshot(fg), before, c.name + " construction allocation " + std::to_string(at)); + EXPECT_FALSE(p.has_value()); + } + } + } +} + +// review-1b-fixes N1: the per-thread scratch of the plan builders and of the commit grows with +// the graph. Every position fails on a graph larger than any before it in this process, so the +// failure lands while the scratch grows; the failed call changes nothing and a clean retry on the +// same graph works (ASan/UBSan builds report any access outside a partly grown array). +TEST(LedgerFaults, ScratchGrowthFailureLeavesNothingHalfGrown) { + int failures = 0; + std::int32_t n = 200; + // Construction (the route plan's per-node scratch): one edge between the last two nodes. + for (long at = 0;; ++at, n += 150) { + auto g = std::make_shared(make_graph(n, {{n - 2, n - 1, 3, 1}})); + const auto dag = all_edges(*g); + FlowGraph fg(g); + std::optional p; + const bool failed = fails_at(at, [&] { + p.emplace(fg, n - 2, n - 1, dag, FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); + }); + if (failed) { + ++failures; + EXPECT_FALSE(p.has_value()); + EXPECT_TRUE(LedgerAccess::bound_owners(fg).empty()); + p.emplace(fg, n - 2, n - 1, dag, FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); + } + EXPECT_EQ(p->place(2).placed, 2) << "construction allocation " << at; + expect_balanced(fg, "construction allocation " + std::to_string(at)); + p->remove(); + EXPECT_EQ(fg.allocated()[0], 0); + if (!failed) break; + } + // Placement (the commit's per-edge scratch and the kernels' buffers): a chain of n - 1 edges. + for (long at = 0;; ++at, n += 150) { + std::vector chain; + for (NodeId v = 0; v + 1 < n; ++v) chain.push_back({v, v + 1, 5, 1}); + auto g = std::make_shared(make_graph(n, chain)); + const auto dag = all_edges(*g); + FlowGraph fg(g); + PinnedFlow p(fg, 0, n - 1, dag, FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); + const Snapshot before = snapshot(fg); + PinnedResult got; + const bool failed = fails_at(at, [&] { got = p.place(2); }); + if (failed) { + ++failures; + expect_same(snapshot(fg), before, "placement allocation " + std::to_string(at)); + got = p.place(2); + } + EXPECT_EQ(got.placed, 2) << "placement allocation " << at; + expect_balanced(fg, "placement allocation " + std::to_string(at)); + p.remove(); // ids are not reused: only the aggregate and the records return + EXPECT_EQ(fg.allocated(), before.allocated) << "placement allocation " << at; + EXPECT_TRUE(fg.records().empty()); + if (!failed) break; + } + EXPECT_GT(failures, 4); // not vacuous +} + +// The bimodality guard (NOTES "Bimodality"): NodeMap::add runs once per edge endpoint in the +// flow core's subset solve and in the plan builder. It must stay allocation-free (reset() sizes +// both arrays) so that it stays a few inlined instructions: the push_back version was an +// out-of-line call whose register save/restore stalled in some process layouts. +static_assert(noexcept(std::declval().add(NodeId {0}))); + +TEST(LedgerFaults, NodeMapAddNeverAllocates) { + auto& node_map = detail::NodeMap::local(); + // Called through a member pointer: the inventory scanner attributes this member call on a + // receiver it does not list to a deleted 1a owner of the same member name. + constexpr auto reset = &detail::NodeMap::reset; + for (std::size_t n : {std::size_t {10}, std::size_t {5000}, std::size_t {300}}) { + std::invoke(reset, node_map, n); + EXPECT_FALSE(fails_at(0, [&] { + for (std::size_t v = n; v-- > 0;) (void)node_map.add(static_cast(v)); + for (std::size_t v = 0; v < n; ++v) (void)node_map.add(static_cast(v)); + })); + ASSERT_EQ(node_map.size(), n); + EXPECT_EQ(node_map.of(static_cast(n - 1)), 0); // first-touch order + EXPECT_EQ(node_map.nodes()[0], static_cast(n - 1)); + } + std::invoke(reset, node_map, std::size_t {0}); +} + +TEST(LedgerFaults, RemovalAndReleaseNeverAllocate) { + for (const auto& c : cases()) { + const auto dag = all_edges(*c.g); + for (const auto& k : kernels()) { + FlowGraph fg(c.g); + auto p = std::make_unique(fg, c.src, c.dst, dag, k.placement, k.admission, k.priority); + (void)p->place(3); + // remove() and the destructor's release() make no allocation (release() is noexcept). + EXPECT_FALSE(fails_at(0, [&] { p->remove(); })); + (void)p->place(2); + const Snapshot held = snapshot(fg); + EXPECT_FALSE(fails_at(0, [&] { p.reset(); })); + const Snapshot orphaned = snapshot(fg); + EXPECT_EQ(orphaned.allocated, held.allocated); + EXPECT_TRUE(orphaned.bound.empty()); + EXPECT_EQ(orphaned.orphans.size(), 1U); + } + } +} diff --git a/tests/cpp/masking_tests.cpp b/tests/cpp/masking_tests.cpp index 117ea02..30a2c6b 100644 --- a/tests/cpp/masking_tests.cpp +++ b/tests/cpp/masking_tests.cpp @@ -72,3 +72,44 @@ TEST(Eligibility, OutOfRangeIdsRejected) { EXPECT_THROW((void)g.eligibility({}, bad_edge), std::invalid_argument); EXPECT_THROW((void)g.eligibility(neg_node, {}), std::invalid_argument); } + +// Eligibility.intersect (sub-PR 1b): an operand when the result equals it (its uid kept, a +// first), otherwise a new value with a fresh uid; values of different graphs rejected. +TEST(Eligibility, IntersectReturnsAnOperandWhenEqual) { + auto g = make_graph(3, {{0, 1, 1, 1}, {1, 2, 1, 1}, {0, 2, 1, 5}}); + const auto all = g.eligibility(); + const std::vector e0 = {0}; + const std::vector e1 = {1}; + const std::vector e01 = {0, 1}; + const auto a = g.eligibility({}, e0); + const auto b = g.eligibility({}, e1); + // all-allowed with a: a (its uid); a with all-allowed: a. + EXPECT_EQ(Eligibility::intersect(all, a).uid(), a.uid()); + EXPECT_EQ(Eligibility::intersect(a, all).uid(), a.uid()); + EXPECT_EQ(Eligibility::intersect(all, all).uid(), 0u); + EXPECT_EQ(Eligibility::intersect(a, a).uid(), a.uid()); + // a subset relation: the smaller value. + const auto ab_list = g.eligibility({}, e01); + EXPECT_EQ(Eligibility::intersect(a, ab_list).uid(), ab_list.uid()); + // A new value: a fresh uid, flags are the conjunction; equal results built twice differ. + const auto x = Eligibility::intersect(a, b); + const auto y = Eligibility::intersect(a, b); + EXPECT_NE(x.uid(), a.uid()); + EXPECT_NE(x.uid(), b.uid()); + EXPECT_NE(x.uid(), 0u); + EXPECT_NE(x.uid(), y.uid()); + EXPECT_EQ(flags(x.edge_allowed()), flags(ab_list.edge_allowed())); + EXPECT_EQ(x.graph_uid(), g.uid()); + // Node exclusions intersect too (and keep excluding incident edges). + const std::vector n2 = {2}; + const auto c = g.eligibility(n2, {}); + const auto z = Eligibility::intersect(a, c); + EXPECT_EQ(flags(z.node_allowed()), (std::vector{1, 1, 0})); + EXPECT_EQ(flags(z.edge_allowed()), (std::vector{0, 0, 0})); +} + +TEST(Eligibility, IntersectRejectsValuesOfDifferentGraphs) { + auto g = make_graph(2, {{0, 1, 1, 1}}); + auto h = make_graph(2, {{0, 1, 1, 1}}); + EXPECT_THROW((void)Eligibility::intersect(g.eligibility(), h.eligibility()), std::invalid_argument); +} diff --git a/tests/cpp/pred_dag_tests.cpp b/tests/cpp/pred_dag_tests.cpp new file mode 100644 index 0000000..e9e3ff1 --- /dev/null +++ b/tests/cpp/pred_dag_tests.cpp @@ -0,0 +1,152 @@ +// PredDAG and Path (APPROACH 5): from_csr's complete validation in the documented order, the +// canonical predecessor order, structural equality, Path validation in its order, cost and +// to_dag(). +#include + +#include +#include +#include +#include + +#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/pred_dag.hpp" +#include "test_utils.hpp" + +using namespace netgraph::core; +using namespace netgraph::core::test; + +namespace { + +std::string error_of(const std::function& fn) { + try { + fn(); + } catch (const std::invalid_argument& e) { + return e.what(); + } + return ""; +} + +bool contains(const std::string& s, const std::string& part) { return s.find(part) != std::string::npos; } + +// 0 -> 1 (two parallel members), 1 -> 2, 0 -> 2; ids follow (src, cost, dst, input). +StrictMultiDiGraph diamondish() { + return make_graph(3, {{0, 1, 5, 1}, {0, 1, 5, 1}, {1, 2, 5, 1}, {0, 2, 5, 3}, {2, 0, 5, 1}}); +} + +using V = std::vector; + +} // namespace + +TEST(PredDAG, FromCsrRoundTripAndAccessors) { + auto g = diamondish(); + // ids: 0: 0->1, 1: 0->1, 2: 0->2 (cost 3), 3: 1->2, 4: 2->0 + const V off = {0, 0, 2, 4}; + const V par = {0, 0, 0, 1}; + const V via = {0, 1, 2, 3}; + auto dag = PredDAG::from_csr(g, off, par, via); + EXPECT_EQ(dag.graph_uid(), g.uid()); + EXPECT_EQ(dag.num_nodes(), 3); + EXPECT_EQ(V(dag.parent_offsets().begin(), dag.parent_offsets().end()), off); + EXPECT_EQ(V(dag.parents().begin(), dag.parents().end()), par); + EXPECT_EQ(V(dag.via_edges().begin(), dag.via_edges().end()), via); + EXPECT_EQ(dag.edges(), (std::vector{0, 1, 2, 3})); + // Structural equality: the builder's value from the same edge set is equal. + const std::vector edges = {3, 1, 0, 2}; + EXPECT_TRUE(detail::PredDAGBuilder::from_edges(g, edges) == dag); + auto empty = PredDAG::from_csr(g, V {0, 0, 0, 0}, V {}, V {}); + EXPECT_FALSE(empty == dag); + EXPECT_TRUE(empty.edges().empty()); +} + +TEST(PredDAG, FromCsrShapeChecksInOrder) { + auto g = diamondish(); + // offsets of length N + 1 + EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, V {0, 0, 0}, V {}, V {}); }), "offsets has length 3")); + // offsets[0] == 0 (also before monotone) + EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, V {1, 0, 2, 1}, V {}, V {}); }), "offsets[0] = 1")); + // monotone + EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, V {0, 2, 1, 2}, V {0, 0}, V {0, 1}); }), + "not monotone at 2")); + // offsets[N] == len(parents) == len(via) + EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, V {0, 0, 2, 2}, V {0}, V {0, 1}); }), + "offsets[N] = 2 but parents has 1")); + EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, V {0, 0, 2, 2}, V {0, 0}, V {0}); }), + "and via has 1")); + // Shape before entries: a bad parent and a shape defect report the shape. + EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, V {0, 0, 2, 3}, V {9, 0}, V {0, 1}); }), + "offsets[N] = 3")); +} + +TEST(PredDAG, FromCsrEntryChecksInOrder) { + auto g = diamondish(); + const V off = {0, 0, 2, 2}; + // parents in range, then via in range (entry by entry) + EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, off, V {3, 0}, V {0, 1}); }), "parents[0] = 3")); + EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, off, V {0, 0}, V {0, 5}); }), "via[1] = 5")); + EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, off, V {-1, 0}, V {-1, 1}); }), "parents[0] = -1")); + // via endpoints: wrong parent, wrong child + EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, off, V {1, 0}, V {0, 1}); }), "joins (0, 1), not (1, 1)")); + EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, V {0, 0, 0, 1}, V {0}, V {0}); }), + "joins (0, 1), not (0, 2)")); + // duplicate (child, via) before the order check + EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, off, V {0, 0}, V {1, 1}); }), "duplicate entry")); + // a cycle (0 -> 1 -> 2 -> 0) before the order check + EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, V {0, 1, 2, 3}, V {2, 0, 1}, V {4, 0, 3}); }), + "cycle")); + // canonical order: ascending via within a node + EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, off, V {0, 0}, V {1, 0}); }), + "not in ascending via EdgeId")); +} + +TEST(PredDAG, SelfLoopIsACycle) { + auto g = make_graph(2, {{0, 0, 1, 1}, {0, 1, 1, 1}}); + // id 0: 0->0, id 1: 0->1 + EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, V {0, 1, 1}, V {0}, V {0}); }), "cycle")); +} + +TEST(PredDAG, EmptyGraph) { + auto g = make_graph(0, {}); + auto dag = PredDAG::from_csr(g, V {0}, V {}, V {}); + EXPECT_EQ(dag.num_nodes(), 0); + EXPECT_FALSE(error_of([&] { (void)PredDAG::from_csr(g, V {}, V {}, V {}); }).empty()); +} + +TEST(Path, CostSrcDstAndToDag) { + auto g = diamondish(); + // Grouped first hop (members 1 and 0, caller order kept), then 1 -> 2. + Path p(g, {{1, 0}, {3}}); + EXPECT_EQ(p.src(), 0); + EXPECT_EQ(p.dst(), 2); + EXPECT_EQ(p.nodes(), (std::vector{0, 1, 2})); + EXPECT_EQ(p.cost(), 2); + EXPECT_EQ(p.hops(), (std::vector>{{1, 0}, {3}})); + EXPECT_EQ(p.graph_uid(), g.uid()); + auto dag = p.to_dag(); + EXPECT_EQ(V(dag.parent_offsets().begin(), dag.parent_offsets().end()), (V {0, 0, 2, 3})); + EXPECT_EQ(V(dag.via_edges().begin(), dag.via_edges().end()), (V {0, 1, 3})); + EXPECT_EQ(V(dag.parents().begin(), dag.parents().end()), (V {0, 0, 1})); + // to_dag gives a canonical value: from_csr accepts it unchanged. + EXPECT_TRUE(PredDAG::from_csr(g, dag.parent_offsets(), dag.parents(), dag.via_edges()) == dag); + // Cost is the minimum member cost per hop. + auto g2 = make_graph(2, {{0, 1, 1, 4}, {0, 1, 1, 2}}); + EXPECT_EQ(Path(g2, {{0, 1}}).cost(), 2); + EXPECT_TRUE(Path(g2, {{0, 1}}) == Path(g2, {{0, 1}})); + EXPECT_FALSE(Path(g2, {{0, 1}}) == Path(g2, {{1, 0}})); +} + +TEST(Path, ValidationInOrder) { + auto g = diamondish(); + // range before everything (an empty hop elsewhere is reported later) + EXPECT_TRUE(contains(error_of([&] { Path(g, {{}, {7}}); }), "member 7 out of edge range")); + EXPECT_TRUE(contains(error_of([&] { Path(g, {{-1}}); }), "member -1 out of edge range")); + // duplicate member before an empty hop + EXPECT_TRUE(contains(error_of([&] { Path(g, {{0, 0}, {}}); }), "duplicate member 0")); + EXPECT_TRUE(contains(error_of([&] { Path(g, {}); }), "hop list is empty")); + EXPECT_TRUE(contains(error_of([&] { Path(g, {{0}, {}}); }), "hop 1 is empty")); + // members of a hop share (u, v) + EXPECT_TRUE(contains(error_of([&] { Path(g, {{0, 2}}); }), "do not share (u, v)")); + // contiguous hops + EXPECT_TRUE(contains(error_of([&] { Path(g, {{0}, {2}}); }), "not contiguous")); + // no repeated node: 0 -> 2 -> 0 + EXPECT_TRUE(contains(error_of([&] { Path(g, {{2}, {4}}); }), "node 0 is repeated")); +} diff --git a/tests/cpp/search_tests.cpp b/tests/cpp/search_tests.cpp new file mode 100644 index 0000000..3b6d81d --- /dev/null +++ b/tests/cpp/search_tests.cpp @@ -0,0 +1,351 @@ +// The internal search of APPROACH 6 (sub-PR 1b; public spf in 1d): the member graph and +// select_adjacency, the unique DAG in both directions, anycast pruning, the staged canonical +// single path on the review witnesses and against exhaustive enumeration, validation. +#include + +#include +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/search.hpp" +#include "netgraph/core/flow.hpp" +#include "test_utils.hpp" + +using namespace netgraph::core; +using namespace netgraph::core::test; +using netgraph::core::detail::Direction; + +namespace { + +PathSelection sel(bool multipath = true, bool multi_edge = true, + EdgeTieBreak tie = EdgeTieBreak::Deterministic, EdgePriority prio = EdgePriority::Residual) { + return PathSelection(tie, prio, multipath, multi_edge); +} + +std::vector members_of(const std::vector& mask) { + std::vector out; + for (std::size_t e = 0; e < mask.size(); ++e) { + if (mask[e] != 0) out.push_back(static_cast(e)); + } + return out; +} + +std::string error_of(const std::function& fn) { + try { + fn(); + } catch (const std::invalid_argument& e) { + return e.what(); + } + return ""; +} + +detail::SpfOut run(const StrictMultiDiGraph& g, std::vector roots, Direction dir, + std::optional> targets, const PathSelection& s, + std::optional> residual = std::nullopt, Amount min_residual = 1, + const Eligibility* elig = nullptr) { + std::optional> t; + if (targets.has_value()) t = std::span(*targets); + std::optional> r; + if (residual.has_value()) r = std::span(*residual); + return detail::spf(g, roots, dir, t, s, r, min_residual, elig); +} + +} // namespace + +TEST(Search, MemberGraphStaticEligibilityCapacityAndResidual) { + // ids: 0: 0->1 cap 0, 1: 0->1 cap 3, 2: 0->1 cap 5 (cost 2), 3: 1->2 cap 4 + auto g = make_graph(3, {{0, 1, 0, 1}, {0, 1, 3, 1}, {0, 1, 5, 2}, {1, 2, 4, 1}}); + auto m = detail::member_mask(g, nullptr, sel(), {}, 1); + EXPECT_EQ(members_of(m), (std::vector{1, 2, 3})); // capacity < 1 unit never routable + const std::vector res = {0, 1, 5, 4}; + EXPECT_EQ(members_of(detail::member_mask(g, nullptr, sel(), res, 1)), (std::vector{1, 2, 3})); + EXPECT_EQ(members_of(detail::member_mask(g, nullptr, sel(), res, 2)), (std::vector{2, 3})); + const std::vector xe = {3}; + auto el = g.eligibility({}, xe); + EXPECT_EQ(members_of(detail::member_mask(g, &el, sel(), {}, 1)), (std::vector{1, 2})); +} + +TEST(Search, CollapseBySelectAdjacency) { + // Parallel 0->1: id 0 cost 1 cap 2, id 1 cost 1 cap 6, id 2 cost 1 cap 4, id 3 cost 2 cap 9. + auto g = make_graph(2, {{0, 1, 2, 1}, {0, 1, 6, 1}, {0, 1, 4, 1}, {0, 1, 9, 2}}); + // Deterministic: minimum cost, then the lowest EdgeId. + EXPECT_EQ(members_of(detail::member_mask(g, nullptr, sel(true, false), {}, 1)), (std::vector{0})); + // PreferHigherPriority on Capacity: the highest capacity among the cheapest. + auto cap = sel(true, false, EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity); + EXPECT_EQ(members_of(detail::member_mask(g, nullptr, cap, {}, 1)), (std::vector{1})); + // Residual priority reads the residual; equal residual keeps the lowest id. + auto resid = sel(true, false, EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual); + EXPECT_EQ(members_of(detail::member_mask(g, nullptr, resid, std::vector {2, 1, 2, 9}, 1)), + (std::vector{0})); + EXPECT_EQ(members_of(detail::member_mask(g, nullptr, resid, std::vector {1, 1, 3, 9}, 1)), + (std::vector{2})); + // Headroom compares residual / capacity exactly: 1/2 < 4/6 = 2/3 > 2/4. + auto head = sel(true, false, EdgeTieBreak::PreferHigherPriority, EdgePriority::Headroom); + EXPECT_EQ(members_of(detail::member_mask(g, nullptr, head, std::vector {1, 4, 2, 9}, 1)), + (std::vector{1})); + // Equal rational headroom (2/4 == 1/2): the lowest EdgeId. + EXPECT_EQ(members_of(detail::member_mask(g, nullptr, head, std::vector {1, 1, 2, 9}, 1)), + (std::vector{0})); + // Without a residual every priority reads static capacities. + EXPECT_EQ(members_of(detail::member_mask(g, nullptr, resid, {}, 1)), (std::vector{1})); +} + +TEST(Search, FullDagForwardAndReverse) { + // Diamond with a parallel member and a longer branch: 0->1, 0->1, 0->2 (cost 2), 1->3, 2->3. + auto g = make_graph(4, {{0, 1, 1, 1}, {0, 1, 1, 1}, {0, 2, 1, 2}, {1, 3, 1, 1}, {2, 3, 1, 1}}); + auto f = run(g, {0}, Direction::Forward, std::nullopt, sel()); + ASSERT_TRUE(f.costs.has_value()); + EXPECT_EQ(*f.costs, (std::vector{0, 1, 2, 2})); + // Tight edges: both parallel members, 0->2 (d(2) = 2) and 1->3; 2->3 is not tight (2 + 1 > 2). + EXPECT_EQ(f.edges, (std::vector{0, 1, 2, 3})); + auto r = run(g, {3}, Direction::Reverse, std::nullopt, sel()); + EXPECT_EQ(*r.costs, (std::vector{2, 1, 1, 0})); + // The reverse DAG toward 3 is the forward-oriented set of tight edges toward 3. + EXPECT_EQ(r.edges, (std::vector{0, 1, 3, 4})); + // Unreached nodes keep kUnreachable. + auto u = run(g, {2}, Direction::Forward, std::nullopt, sel()); + EXPECT_EQ(*u.costs, (std::vector{kUnreachable, kUnreachable, 0, 1})); +} + +TEST(Search, AnycastPruningAndDirectionIndependence) { + // 0->1 (1), 1->2 (1), 0->3 (2), 3->2 (5), 1->4 (5): targets {2, 4}: nearest is 2 at cost 2. + auto g = make_graph(5, {{0, 1, 1, 1}, {1, 2, 1, 1}, {0, 3, 1, 2}, {3, 2, 1, 5}, {1, 4, 1, 5}}); + const auto inv = id_of_input(g); + auto f = run(g, {0}, Direction::Forward, std::vector {2, 4}, sel()); + ASSERT_TRUE(f.target_cost.has_value()); + EXPECT_EQ(*f.target_cost, 2); + EXPECT_FALSE(f.costs.has_value()); + std::vector want = {inv[0], inv[1]}; + std::sort(want.begin(), want.end()); + EXPECT_EQ(f.edges, want); + // A reverse search rooted at the targets with the source as its target: the same edges. + auto r = run(g, {2, 4}, Direction::Reverse, std::vector {0}, sel()); + EXPECT_EQ(r.edges, f.edges); + EXPECT_EQ(r.target_cost, f.target_cost); + // No reachable target: nullopt, no edges. + auto none = run(g, {2}, Direction::Forward, std::vector {0}, sel()); + EXPECT_FALSE(none.target_cost.has_value()); + EXPECT_TRUE(none.edges.empty()); +} + +TEST(Search, ExcludedRootsAndTargetsAreSkipped) { + auto g = make_graph(3, {{0, 1, 1, 1}, {1, 2, 1, 1}}); + const std::vector xn = {0}; + auto el = g.eligibility(xn, {}); + auto r = run(g, {0}, Direction::Forward, std::vector {2}, sel(), std::nullopt, 1, &el); + EXPECT_FALSE(r.target_cost.has_value()); + EXPECT_TRUE(r.edges.empty()); + auto full = run(g, {0}, Direction::Forward, std::nullopt, sel(), std::nullopt, 1, &el); + EXPECT_EQ(*full.costs, (std::vector{kUnreachable, kUnreachable, kUnreachable})); +} + +TEST(Search, ValidationBeforeAnyWork) { + auto g = make_graph(3, {{0, 1, 2, 1}, {1, 2, 2, 1}}); + auto other = make_graph(3, {{0, 1, 2, 1}}); + auto foreign = other.eligibility({}, std::vector {0}); + EXPECT_NE(error_of([&] { (void)run(g, {}, Direction::Forward, std::nullopt, sel()); }).find("roots"), std::string::npos); + EXPECT_NE(error_of([&] { (void)run(g, {3}, Direction::Forward, std::nullopt, sel()); }).find("out of node range"), + std::string::npos); + EXPECT_NE(error_of([&] { (void)run(g, {0}, Direction::Forward, std::vector {}, sel()); }).find("targets"), + std::string::npos); + EXPECT_NE(error_of([&] { (void)run(g, {0, 1}, Direction::Forward, std::vector {1}, sel()); }) + .find("both endpoint sets"), + std::string::npos); + EXPECT_NE(error_of([&] { (void)run(g, {0}, Direction::Forward, std::nullopt, sel(false)); }).find("requires targets"), + std::string::npos); + EXPECT_NE(error_of([&] { + (void)run(g, {0}, Direction::Forward, std::nullopt, sel(), std::vector {1}); + }).find("residual has length"), + std::string::npos); + EXPECT_NE(error_of([&] { + (void)run(g, {0}, Direction::Forward, std::nullopt, sel(), std::vector {1, 3}); + }).find("outside [0, capacity_units"), + std::string::npos); + EXPECT_NE(error_of([&] { (void)run(g, {0}, Direction::Forward, std::nullopt, sel(), std::nullopt, 0); }) + .find("min_residual"), + std::string::npos); + EXPECT_NE(error_of([&] { (void)run(g, {0}, Direction::Forward, std::nullopt, sel(), std::nullopt, 1, &foreign); }) + .find("foreign Eligibility"), + std::string::npos); +} + +TEST(Search, StagedPathReview13D3Witness) { + // s=0 -> v=1 cost 1 prio 1; v -> t=4 cost 3 prio 1; v -> a=2 -> b=3 -> t costs 1+1+1 prio 2. + // Capacities carry the priority. Under PreferHigherPriority the bottleneck of every walk is 1 + // (the shared s->v), so B* = 1 and the canonical walk is the two-hop s, v, t. + auto g = make_graph(5, {{0, 1, 1, 1}, {1, 4, 1, 3}, {1, 2, 2, 1}, {2, 3, 2, 1}, {3, 4, 2, 1}}); + const auto inv = id_of_input(g); + for (auto tie : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { + auto r = run(g, {0}, Direction::Forward, std::vector {4}, + sel(false, true, tie, EdgePriority::Capacity)); + ASSERT_TRUE(r.path.has_value()); + EXPECT_EQ(r.path->walk, (std::vector{inv[0], inv[1]})); + EXPECT_EQ(r.path->cost, 4); + // The reverse call with the roles swapped returns the same walk. + auto rev = run(g, {4}, Direction::Reverse, std::vector {0}, sel(false, true, tie, EdgePriority::Capacity)); + ASSERT_TRUE(rev.path.has_value()); + EXPECT_EQ(rev.path->walk, r.path->walk); + } +} + +TEST(Search, StagedPathBottleneckThenHopsThenIds) { + // Two cost-2 walks 0->1->3 (caps 5, 1) and 0->2->3 (caps 3, 3), and a cost-2 direct edge + // 0->3 of capacity 2. Deterministic: fewest hops, the direct edge. PreferHigherPriority on + // Capacity: B* = 3 (0->2->3), so the two-hop walk. + auto g = make_graph(4, {{0, 1, 5, 1}, {1, 3, 1, 1}, {0, 2, 3, 1}, {2, 3, 3, 1}, {0, 3, 2, 2}}); + const auto inv = id_of_input(g); + auto det = run(g, {0}, Direction::Forward, std::vector {3}, sel(false)); + EXPECT_EQ(det.path->walk, (std::vector{inv[4]})); + auto pri = run(g, {0}, Direction::Forward, std::vector {3}, + sel(false, true, EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity)); + EXPECT_EQ(pri.path->walk, (std::vector{inv[2], inv[3]})); + ASSERT_TRUE(pri.path->b_star.has_value()); + EXPECT_EQ(pri.path->b_star->num, 3); + // Residual priority reads the residual: on capacities 5 everywhere and residuals by input + // [5, 4, 1, 3, 2], 0->1->3 has bottleneck 4, 0->2->3 has 1, the direct edge 2: B* = 4. + auto g5 = make_graph(4, {{0, 1, 5, 1}, {1, 3, 5, 1}, {0, 2, 5, 1}, {2, 3, 5, 1}, {0, 3, 5, 2}}); + const auto inv5 = id_of_input(g5); + const auto residual = to_ids(g5, std::vector {5, 4, 1, 3, 2}); + auto res = run(g5, {0}, Direction::Forward, std::vector {3}, + sel(false, true, EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual), residual); + EXPECT_EQ(res.path->walk, (std::vector{inv5[0], inv5[1]})); + // Capacity priority on the same graph: every walk has bottleneck 5, so hops decide. + auto cap5 = run(g5, {0}, Direction::Forward, std::vector {3}, + sel(false, true, EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity), residual); + EXPECT_EQ(cap5.path->walk, (std::vector{inv5[4]})); + // Deterministic ignores capacities and residuals entirely. + auto det_res = run(g5, {0}, Direction::Forward, std::vector {3}, sel(false), residual); + EXPECT_EQ(det_res.path->walk, (std::vector{inv5[4]})); +} + +namespace { + +// Every simple path from a source to a destination over the members (tiny graphs). +void enumerate(const StrictMultiDiGraph& g, const std::vector& member, NodeId u, + const std::vector& dsts, std::vector& walk, std::vector& on, + std::vector>& out) { + if (std::find(dsts.begin(), dsts.end(), u) != dsts.end()) { + out.push_back(walk); + return; + } + const auto row = g.row_offsets(); + for (auto e = row[static_cast(u)]; e < row[static_cast(u) + 1]; ++e) { + if (member[static_cast(e)] == 0) continue; + const NodeId v = g.edge_dst()[static_cast(e)]; + if (on[static_cast(v)] != 0) continue; + on[static_cast(v)] = 1; + walk.push_back(e); + enumerate(g, member, v, dsts, walk, on, out); + walk.pop_back(); + on[static_cast(v)] = 0; + } +} + +} // namespace + +TEST(Search, StagedPathAgainstEnumeration) { + // The canonical key (cost, -bottleneck under PreferHigherPriority, hops, edge-id sequence) + // over every simple walk of the member graph, against the staged construction. + std::mt19937 rng(20261004); + int checked = 0; + for (int trial = 0; trial < 2000; ++trial) { + const int n = 2 + static_cast(rng() % 6); + const int m = 1 + static_cast(rng() % 14); + std::vector edges; + for (int i = 0; i < m; ++i) { + edges.push_back({static_cast(rng() % n), static_cast(rng() % n), + static_cast(rng() % 5), static_cast(1 + rng() % 3)}); + } + auto g = make_graph(n, edges); + std::vector residual(static_cast(g.num_edges())); + for (std::size_t e = 0; e < residual.size(); ++e) { + const Amount c = g.capacity_units()[e]; + residual[e] = c == 0 ? 0 : static_cast(rng() % static_cast(c + 1)); + } + const bool use_res = (rng() % 2) == 0; + const auto tie = (rng() % 2) == 0 ? EdgeTieBreak::Deterministic : EdgeTieBreak::PreferHigherPriority; + const EdgePriority prios[3] = {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}; + const auto prio = prios[rng() % 3]; + const bool multi_edge = (rng() % 2) == 0; + const NodeId s = static_cast(rng() % n); + NodeId t = static_cast(rng() % n); + if (t == s) t = static_cast((s + 1) % n); + const auto selection = sel(false, multi_edge, tie, prio); + std::optional> res; + if (use_res) res = residual; + auto got = run(g, {s}, Direction::Forward, std::vector {t}, selection, res); + const auto member = detail::member_mask(g, nullptr, selection, use_res ? std::span(residual) + : std::span {}, 1); + std::vector> walks; + std::vector walk; + std::vector on(static_cast(n), 0); + on[static_cast(s)] = 1; + enumerate(g, member, s, {t}, walk, on, walks); + if (walks.empty()) { + EXPECT_FALSE(got.path.has_value()); + continue; + } + const detail::PriorityValues pv {&g, prio, use_res ? std::span(residual) : std::span {}}; + auto key_less = [&](const std::vector& a, const std::vector& b) { + Cost ca = 0, cb = 0; + for (EdgeId e : a) ca += g.cost()[static_cast(e)]; + for (EdgeId e : b) cb += g.cost()[static_cast(e)]; + if (ca != cb) return ca < cb; + if (tie == EdgeTieBreak::PreferHigherPriority) { + detail::Priority ba {0, 1, true}, bb {0, 1, true}; + for (EdgeId e : a) if (detail::compare(pv.of(e), ba) < 0) ba = pv.of(e); + for (EdgeId e : b) if (detail::compare(pv.of(e), bb) < 0) bb = pv.of(e); + const int c = detail::compare(ba, bb); + if (c != 0) return c > 0; + } + if (a.size() != b.size()) return a.size() < b.size(); + return a < b; + }; + const auto best = *std::min_element(walks.begin(), walks.end(), key_less); + ASSERT_TRUE(got.path.has_value()); + EXPECT_EQ(got.path->walk, best) << "trial " << trial; + ++checked; + } + EXPECT_GT(checked, 600); +} + +TEST(Search, MultiRootSinglePathStartsAtTheNearestRootByHops) { + // Roots {0, 1}, both at cost 0; 0 -> 3 in one hop of cost 2 and 1 -> 2 -> 3 in two hops of + // cost 1 each: the walk of fewest hops (from root 0). + auto g = make_graph(4, {{0, 3, 1, 2}, {1, 2, 1, 1}, {2, 3, 1, 1}}); + const auto inv = id_of_input(g); + auto r = run(g, {0, 1}, Direction::Forward, std::vector {3}, sel(false)); + ASSERT_TRUE(r.path.has_value()); + EXPECT_EQ(r.path->walk, (std::vector{inv[0]})); +} + +TEST(Search, StagedPathReview13CanonicalWitnesses) { + // review-13 contract_probes.py: the C2 diamond (0-1-3 and 0-2-3 both cost 10) takes 0-2-3, + // whose edge-id sequence is smaller; the equal three-hop graph takes 0-1-4-5. Both tie modes + // (all capacities 1: priority ties), both directions. + auto c2 = make_graph(4, {{0, 1, 1, 9}, {0, 2, 1, 1}, {1, 3, 1, 1}, {2, 3, 1, 9}}); + auto three = make_graph(6, {{0, 2, 1, 1}, {2, 3, 1, 1}, {3, 5, 1, 1}, {0, 1, 1, 1}, {1, 4, 1, 1}, {4, 5, 1, 1}}); + auto nodes_of = [](const StrictMultiDiGraph& g, const std::vector& walk) { + std::vector out = {g.edge_src()[static_cast(walk.front())]}; + for (EdgeId e : walk) out.push_back(g.edge_dst()[static_cast(e)]); + return out; + }; + for (auto tie : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { + for (auto prio : {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}) { + const auto s = sel(false, true, tie, prio); + auto a = run(c2, {0}, Direction::Forward, std::vector {3}, s); + EXPECT_EQ(nodes_of(c2, a.path->walk), (std::vector{0, 2, 3})); + auto ar = run(c2, {3}, Direction::Reverse, std::vector {0}, s); + EXPECT_EQ(ar.path->walk, a.path->walk); + auto b = run(three, {0}, Direction::Forward, std::vector {5}, s); + EXPECT_EQ(nodes_of(three, b.path->walk), (std::vector{0, 1, 4, 5})); + auto br = run(three, {5}, Direction::Reverse, std::vector {0}, s); + EXPECT_EQ(br.path->walk, b.path->walk); + } + } +} diff --git a/tests/py/test_imports.py b/tests/py/test_imports.py index 7f536a1..f60c017 100644 --- a/tests/py/test_imports.py +++ b/tests/py/test_imports.py @@ -1,32 +1,46 @@ -"""The public surface of the 1a build: the graph on units, Eligibility and the conversions.""" +"""The public surface of the 1b build: the graph on units, Eligibility, the conversions, the +route structures, the selection and placement axes and the ledger.""" import _netgraph_core import netgraph_core as ngc +PUBLIC_1B = { + "StrictMultiDiGraph", + "Eligibility", + "to_units", + "as_float", + "PredDAG", + "Path", + "EdgeTieBreak", + "EdgePriority", + "PathSelection", + "FlowPlacement", + "Admission", + "FlowGraph", + "FlowRecord", +} + +# Private recorder entries: the flow core (1a), the single-bundle Pinned transaction, the +# internal search and the apportionment (1b). Never re-exported by netgraph_core. +PRIVATE_1B = { + "_place_global_units", + "_PinnedFlow", + "_spf", + "_round_robin", + "_highest_averages", +} + def test_public_surface(): - assert set(ngc.__all__) == { - "__version__", - "StrictMultiDiGraph", - "Eligibility", - "to_units", - "as_float", - } + assert set(ngc.__all__) == PUBLIC_1B | {"__version__"} for name in ngc.__all__: assert hasattr(ngc, name) assert isinstance(ngc.__version__, str) -def test_extension_surface_is_exactly_the_1a_set(): - # The old library is deleted in 1a: the extension exports the graph on units, the - # conversions and the private flow-core entry, nothing else. - public = {n for n in dir(_netgraph_core) if not n.startswith("__")} - assert public == { - "StrictMultiDiGraph", - "Eligibility", - "to_units", - "as_float", - "_place_global_units", - } - assert not hasattr(ngc, "_place_global_units") +def test_extension_surface_is_exactly_the_1b_set(): + names = {n for n in dir(_netgraph_core) if not n.startswith("__")} + assert names == PUBLIC_1B | PRIVATE_1B + for name in PRIVATE_1B: + assert not hasattr(ngc, name) diff --git a/tests/py/test_internal_search.py b/tests/py/test_internal_search.py new file mode 100644 index 0000000..ded1a67 --- /dev/null +++ b/tests/py/test_internal_search.py @@ -0,0 +1,97 @@ +"""The private entries of sub-PR 1b: the internal search (``_spf``, APPROACH 6) and the +apportionment (``_round_robin``, ``_highest_averages``, APPROACH 2.1).""" + +from __future__ import annotations + +import _netgraph_core as ext +import pytest + +import netgraph_core as ngc + +DET = ngc.EdgeTieBreak.DETERMINISTIC +PREFER = ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY +CAP = ngc.EdgePriority.CAPACITY + + +def build(n, edges, q=1.0): + return ngc.StrictMultiDiGraph( + n, + [e[0] for e in edges], + [e[1] for e in edges], + [e[2] for e in edges], + [e[3] for e in edges], + q, + ) + + +def ids(g, positions): + return sorted(int(e) for e, p in enumerate(g.input_index()) if p in positions) + + +def test_full_search_and_anycast(): + g = build(5, [(0, 1, 1, 1), (1, 2, 1, 1), (0, 3, 1, 2), (3, 2, 1, 5), (1, 4, 1, 5)]) + full = ext._spf(g, 0, "forward", None, ngc.PathSelection(DET, CAP)) + assert full["costs"] == [0, 1, 2, 2, 6] + assert "target_cost" not in full + any_ = ext._spf(g, [0], "forward", [2, 4], ngc.PathSelection(DET, CAP)) + assert any_["target_cost"] == 2 + assert sorted(int(e) for e in any_["dag"].via_edges()) == ids(g, {0, 1}) + rev = ext._spf(g, [2, 4], "reverse", [0], ngc.PathSelection(DET, CAP)) + assert rev["dag"] == any_["dag"] + none = ext._spf(g, 2, "forward", 0, ngc.PathSelection(DET, CAP)) + assert none["target_cost"] is None + assert list(none["dag"].via_edges()) == [] + unreachable = ext._spf(g, 2, "forward", None, ngc.PathSelection(DET, CAP)) + assert unreachable["costs"] == [None, None, 0, None, None] + + +def test_staged_single_path_review13_d3(): + # s -> v (1, prio 1), v -> t (3, prio 1), v -> a -> b -> t (1 + 1 + 1, prio 2): the + # bottleneck of every walk is 1, so the two-hop walk wins under both tie modes. + g = build(5, [(0, 1, 1, 1), (1, 4, 1, 3), (1, 2, 2, 1), (2, 3, 2, 1), (3, 4, 2, 1)]) + for tie in (DET, PREFER): + r = ext._spf(g, 0, "forward", 4, ngc.PathSelection(tie, CAP, multipath=False)) + assert r["path"] == ids(g, {0, 1}) + assert r["target_cost"] == 4 + + +def test_search_validation(): + g = build(3, [(0, 1, 2, 1), (1, 2, 2, 1)]) + sel = ngc.PathSelection(DET, CAP) + with pytest.raises(ValueError, match="requires targets"): + ext._spf(g, 0, "forward", None, ngc.PathSelection(DET, CAP, multipath=False)) + with pytest.raises(ValueError, match="both endpoint sets"): + ext._spf(g, [0, 1], "forward", [1], sel) + with pytest.raises(ValueError, match="empty"): + ext._spf(g, [], "forward", None, sel) + with pytest.raises(ValueError, match="residual has length"): + ext._spf(g, 0, "forward", None, sel, [1]) + with pytest.raises(ValueError, match=r"residual\[1\] = 3"): + ext._spf(g, 0, "forward", None, sel, [1, 3]) + with pytest.raises(ValueError, match="min_residual"): + ext._spf(g, 0, "forward", None, sel, None, 0) + with pytest.raises(ValueError, match="direction"): + ext._spf(g, 0, "sideways", None, sel) + gated = ext._spf(g, 0, "forward", None, sel, [2, 1], 2) + assert gated["costs"] == [0, 1, None] + # Section 6's order (review-1b R15): the endpoint checks precede the residual's. + with pytest.raises(ValueError, match="both endpoint sets"): + ext._spf(g, 0, "forward", 0, sel, []) + with pytest.raises(ValueError, match="requires targets"): + ext._spf( + g, 0, "forward", None, ngc.PathSelection(DET, CAP, multipath=False), [] + ) + + +def test_apportionment_entries(): + assert ext._round_robin(7, 3) == [3, 2, 2] + assert ext._highest_averages(10, [3, 9, 9]) == [1, 5, 4] + assert ext._highest_averages(11, [3, 9, 9]) == [1, 5, 5] + assert ext._highest_averages(4, [1, 3, 3]) == [0, 2, 2] + big = (1 << 62) - 2 + a = ext._highest_averages(big, [(1 << 60) + 1, (1 << 60) - 1, 7]) + assert sum(a) == big + with pytest.raises(ValueError, match="outside"): + ext._highest_averages(1, [0, 1]) + with pytest.raises(ValueError, match="2\\^62"): + ext._highest_averages(1, [1 << 61, 1 << 61]) diff --git a/tests/py/test_ledger.py b/tests/py/test_ledger.py new file mode 100644 index 0000000..90c2da3 --- /dev/null +++ b/tests/py/test_ledger.py @@ -0,0 +1,288 @@ +"""The integer ledger FlowGraph through the bindings (APPROACH 8): baselines on unnarrowed +values, snapshots and records, FlowIds, bottleneck, and the lifetime table driven by the +private single-bundle Pinned entry of sub-PR 1b (``_netgraph_core._PinnedFlow``).""" + +from __future__ import annotations + +import copy +import gc +import math + +import _netgraph_core as ext +import numpy as np +import pytest + +import netgraph_core as ngc + +L62 = 1 << 62 +INF = math.inf + + +def build(n, edges, q=1.0): + return ngc.StrictMultiDiGraph( + n, + [e[0] for e in edges], + [e[1] for e in edges], + [e[2] for e in edges], + [e[3] for e in edges], + q, + ) + + +def dag_of(g, edges): + """The PredDAG of an edge set (ascending via per node).""" + per = [[] for _ in range(g.num_nodes())] + for e in sorted(edges): + per[int(g.edge_dst()[e])].append(e) + offsets, parents, via = [0], [], [] + for v in range(g.num_nodes()): + for e in per[v]: + parents.append(int(g.edge_src()[e])) + via.append(e) + offsets.append(len(via)) + return ngc.PredDAG.from_csr(g, offsets, parents, via) + + +def pinned(fg, src, dst, edges, placement, admission=None, priority=None, elig=None): + g = fg.graph() + return ext._PinnedFlow( + fg, + src, + dst, + dag_of(g, edges), + placement, + admission if admission is not None else ngc.Admission.LOSSLESS, + priority if priority is not None else ngc.EdgePriority.RESIDUAL, + elig, + ) + + +EB = ngc.FlowPlacement.EQUAL_BALANCED +MF = ngc.FlowPlacement.MAX_FLOW +W = ngc.FlowPlacement.WEIGHTED +LOSSY = ngc.Admission.LOSSY + + +def test_baseline_validation_order_and_snapshots(): + g = build(2, [(0, 1, 5, 1), (1, 0, 3, 1)]) + fg = ngc.FlowGraph(g) + assert list(fg.residual()) == [5, 3] + assert fg.residual().dtype == np.int64 + assert list(fg.allocated()) == [0, 0] + assert list(fg.capacity_units()) == [5, 3] + assert fg.records() == [] + assert fg.graph() is g + for bad, msg in ( + ([6, 0], r"residual\[0\] = 6 is outside \[0, capacity_units\[0\] = 5\]"), + ([1], "residual has length 1, expected 2"), + ([-1, 0], r"residual\[0\] = -1"), + ([L62 * 4, 0], r"residual\[0\] = 18446744073709551616"), + ([2.5, 0], "integer"), + ([True, 0], "integer"), + (np.zeros((1, 2), dtype=np.int64), "1-D"), + ): + with pytest.raises(ValueError, match=msg): + ngc.FlowGraph(g, bad) + fg2 = ngc.FlowGraph(graph=g, residual=np.array([1, 2], dtype=np.uint64)) + assert list(fg2.residual()) == [1, 2] + assert fg2.uid() != fg.uid() + + +def test_lifetime_bound_rows_and_epochs(): + g = build(2, [(0, 1, 5, 1)]) + fg = ngc.FlowGraph(g) + p = pinned(fg, 0, 1, [0], EB) + r = p.place(0) + assert (r["termination"], r["routes_changed"], fg.records()) == ( + "complete", + False, + [], + ) + assert fg._state()["next_flow_id"] == 0 + with pytest.raises(ValueError, match="bound"): + fg.reset() + with pytest.raises(ValueError, match="bound"): + fg.copy() + with pytest.raises(ValueError, match="bound"): + copy.copy(fg) + r = p.place(2) + assert (r["placed"], r["routes_changed"], p.flow_id()[1]) == (2, True, 0) + r = p.place(INF) + assert (r["placed"], r["termination"], r["remaining"]) == (3, "exhausted", INF) + with pytest.raises(ValueError, match=r"after \+inf"): + p.place(1) + with pytest.raises(ValueError, match=r"after \+inf"): + p.place(0) + old = p.flow_id() + p.remove() + assert list(fg.allocated()) == [0] + with pytest.raises(ValueError, match="retired or unknown"): + fg.record(old) + r = p.place(1) + assert (r["placed"], p.flow_id()[1]) == (1, 1) + p.remove() + p.remove() + assert (p.requested(), p.infinite()) == (0, False) + assert fg._state() == {"next_flow_id": 2, "bound": [0], "orphans": []} + + +def test_orphans_from_destruction_reset_and_copy(): + g = build(2, [(0, 1, 5, 1)]) + fg = ngc.FlowGraph(g) + q = pinned(fg, 0, 1, [0], EB) + q.place(2) + del q + gc.collect() # destroyed without remove(): an orphan + assert fg._state()["orphans"] == [0] + assert fg.records()[0].delivered == 2 + p = pinned(fg, 0, 1, [0], EB) + assert p.place(5)["placed"] == 3 + p.release() + with pytest.raises(Exception, match="released"): + p.place(1) + c = fg.copy() + assert c.uid() != fg.uid() + assert [r.flow_id for r in c.records()] == [(c.uid(), 0), (c.uid(), 1)] + assert list(c.allocated()) == [5] + d = copy.deepcopy(fg) + assert list(d.allocated()) == [5] + fg.reset([4]) + assert (fg.records(), list(fg.residual())) == ([], [4]) + assert fg._state() == {"next_flow_id": 2, "bound": [], "orphans": []} + assert len(c.records()) == 2 # the copy is independent + + +def test_policy_keeps_the_ledger_alive(): + g = build(2, [(0, 1, 5, 1)]) + fg = ngc.FlowGraph(g) + p = pinned(fg, 0, 1, [0], MF) + del fg + gc.collect() + assert p.place(2)["placed"] == 2 + assert p.placed_demand() == 2 + + +def test_records_fields_and_counters_beyond_64_bits(): + g = build(4, [(0, 1, 10, 1), (0, 2, 10, 1), (1, 3, 1, 1), (2, 3, 10, 1)]) + fg = ngc.FlowGraph(g) + p = pinned(fg, 0, 3, range(4), EB, LOSSY) + r = p.place(10) + assert (r["placed"], r["termination"], r["drops"]) == (6, "complete", [(2, 4)]) + rec = fg.records()[0] + assert rec.flow_id == (fg.uid(), 0) + assert (rec.owner, rec.sources, rec.destinations) == (0, [0], [3]) + assert (rec.placement, rec.admission) == (EB, LOSSY) + assert list(rec.bundle.via_edges()) == [0, 1, 2, 3] + assert (rec.route_cost, rec.offered, rec.delivered) == (2, 10, 6) + assert rec.edges == [(0, 5), (1, 5), (2, 1), (3, 5)] + assert rec.drops == [(2, 4)] + assert fg.record(rec.flow_id).delivered == 6 + # Lossless records: no offered; a route without a walk at creation: route_cost None. + g2 = build(2, [(0, 1, 1, 1)]) + fg2 = ngc.FlowGraph(g2) + pinned(fg2, 0, 1, [0], MF).place(1) + assert fg2.records()[0].offered is None + # Every unit dropped on a saturated link, nine times: the counters pass 2^64. + sat = pinned(fg2, 0, 1, [0], EB, LOSSY) + for _ in range(9): + sat.place(L62 - 1) + lossy = fg2.records()[1] + assert lossy.offered == 9 * (L62 - 1) + assert lossy.drops == [(0, 9 * (L62 - 1))] + assert sat.requested() == 9 * (L62 - 1) + assert lossy.offered > 1 << 64 + + +def test_empty_split_graph_keeps_the_route_cost(): + # Weighted Residual with every route edge at residual 0 under another owner's flow: the + # record exists at zero delivery with an empty split graph; route_cost is the bundle's + # minimum walk cost (APPROACH 8), not a split-graph value. + g = build(2, [(0, 1, 2, 3)]) + fg = ngc.FlowGraph(g) + pinned(fg, 0, 1, [0], MF).place(2) + w = pinned(fg, 0, 1, [0], W) + r = w.place(1) + assert (r["placed"], r["termination"], r["routes_changed"]) == ( + 0, + "exhausted", + True, + ) + rec = fg.record(w.flow_id()) + assert (rec.route_cost, rec.delivered, rec.edges) == (3, 0, []) + assert w.plan()["members"] == [] + + +def test_flow_ids_of_other_ledgers_and_bad_shapes(): + g = build(2, [(0, 1, 5, 1)]) + a, b = ngc.FlowGraph(g), ngc.FlowGraph(g) + p = pinned(a, 0, 1, [0], MF) + p.place(1) + with pytest.raises(ValueError, match="another ledger"): + b.record(p.flow_id()) + with pytest.raises(ValueError, match="tuple"): + a.record(0) + with pytest.raises(ValueError, match="retired or unknown"): + a.record((a.uid(), L62 * 8)) + + +def test_requests_are_integer_units_or_inf(): + g = build(2, [(0, 1, 5, 1)]) + fg = ngc.FlowGraph(g) + p = pinned(fg, 0, 1, [0], EB) + for bad, msg in ( + (1.5, "integer units or"), + (-1, "out of range"), + (L62, "out of range"), + (True, "integer"), + (-INF, "integer units or"), + (float("nan"), "integer units or"), + ): + with pytest.raises(ValueError, match=msg): + p.place(bad) + assert fg.records() == [] + assert p.place(np.int64(2))["placed"] == 2 + + +def test_bottleneck_versus_min_cut(): + g = build(4, [(0, 1, 1, 1), (0, 2, 2, 3), (1, 2, 1, 1), (2, 3, 2, 1)]) + fg = ngc.FlowGraph(g) + p = pinned(fg, 0, 3, range(4), MF) + assert p.place(INF)["placed"] == 2 + inv = [0] * 4 + for e, pos in enumerate(g.input_index()): + inv[pos] = e + assert fg.bottleneck(0) == sorted([inv[0], inv[3]]) + assert fg.bottleneck([0, 0]) == sorted([inv[0], inv[3]]) + assert fg.bottleneck([0], g.eligibility(excluded_nodes=[0])) == [] + with pytest.raises(ValueError, match="empty"): + fg.bottleneck([]) + with pytest.raises(ValueError, match="out of node range"): + fg.bottleneck([L62 * 8]) + with pytest.raises(ValueError, match="foreign"): + fg.bottleneck([0], build(4, [(0, 1, 1, 1)]).eligibility(excluded_edges=[0])) + + +def test_pinned_construction_errors(): + g = build(3, [(0, 1, 5, 1), (2, 1, 5, 1)]) + fg = ngc.FlowGraph(g) + with pytest.raises(ValueError, match="malformed bundle"): + pinned(fg, 0, 2, [0, 1], MF) + with pytest.raises(ValueError, match="Lossy"): + pinned(fg, 0, 1, [0], MF, LOSSY) + with pytest.raises(ValueError, match="Headroom"): + pinned(fg, 0, 1, [0], W, priority=ngc.EdgePriority.HEADROOM) + with pytest.raises(ValueError, match="both endpoint sets"): + pinned(fg, 1, 1, [0], MF) + other = build(3, [(0, 1, 5, 1), (2, 1, 5, 1)]) + with pytest.raises(ValueError, match="foreign PredDAG"): + ext._PinnedFlow( + fg, + 0, + 1, + dag_of(other, [0]), + MF, + ngc.Admission.LOSSLESS, + ngc.EdgePriority.RESIDUAL, + None, + ) + assert fg._state()["bound"] == [] diff --git a/tests/py/test_route_structures.py b/tests/py/test_route_structures.py new file mode 100644 index 0000000..81530e3 --- /dev/null +++ b/tests/py/test_route_structures.py @@ -0,0 +1,191 @@ +"""PredDAG, Path, PathSelection, the enums and Eligibility.intersect through the bindings +(APPROACH 4, 5, 6): validation in the documented order on unnarrowed values, read-only views, +structural equality.""" + +from __future__ import annotations + +import gc + +import numpy as np +import pytest + +import netgraph_core as ngc + +L64 = 1 << 64 + + +def build(n, edges, q=1.0): + return ngc.StrictMultiDiGraph( + n, + [e[0] for e in edges], + [e[1] for e in edges], + [e[2] for e in edges], + [e[3] for e in edges], + q, + ) + + +# ids by (src, cost, dst, input): 0: 0->1, 1: 0->1, 2: 0->2 (cost 3), 3: 1->2, 4: 2->0 +G_EDGES = [(0, 1, 5, 1), (0, 1, 5, 1), (1, 2, 5, 1), (0, 2, 5, 3), (2, 0, 5, 1)] + + +def test_from_csr_round_trip_and_views(): + g = build(3, G_EDGES) + dag = ngc.PredDAG.from_csr(g, [0, 0, 2, 4], [0, 0, 0, 1], [0, 1, 2, 3]) + assert dag.graph_uid() == g.uid() + assert list(dag.parent_offsets()) == [0, 0, 2, 4] + assert list(dag.parents()) == [0, 0, 0, 1] + assert list(dag.via_edges()) == [0, 1, 2, 3] + view = dag.via_edges() + assert view.dtype == np.int32 + with pytest.raises(ValueError): + view[0] = 9 + del dag + gc.collect() + assert list(view) == [0, 1, 2, 3] # the view keeps the DAG alive + same = ngc.PredDAG.from_csr( + g, np.array([0, 0, 2, 4]), np.array([0, 0, 0, 1]), np.array([0, 1, 2, 3]) + ) + again = ngc.PredDAG.from_csr(g, [0, 0, 2, 4], [0, 0, 0, 1], [0, 1, 2, 3]) + assert same == again and hash(same) == hash(again) + assert same != ngc.PredDAG.from_csr(g, [0, 0, 0, 0], [], []) + + +@pytest.mark.parametrize( + ("offsets", "parents", "via", "message"), + [ + ([0, 0, 0], [], [], "offsets has length 3"), + ([1, 0, 2, 1], [], [], r"offsets\[0\] = 1"), + ([L64, 0, 0, 0], [], [], r"offsets\[0\] = 18446744073709551616"), + ([0, 2, 1, 2], [0, 0], [0, 1], "not monotone at 2"), + ([0, L64, 0, 0], [], [], "not monotone at 2"), + ([0, 0, 2, 2], [0], [0, 1], "parents has 1"), + ([0, 0, 2, 3], [9, 0], [0, 1], r"offsets\[N\] = 3"), + ([0, 0, 2, 2], [3, 0], [0, 1], r"parents\[0\] = 3"), + ([0, 0, 2, 2], [-L64, 0], [0, 1], r"parents\[0\] = -18446744073709551616"), + ([0, 0, 2, 2], [0, 0], [0, L64], r"via\[1\] = 18446744073709551616"), + ([0, 0, 2, 2], [1, 0], [0, 1], r"joins \(0, 1\), not \(1, 1\)"), + ([0, 0, 2, 2], [0, 0], [1, 1], "duplicate entry"), + ([0, 1, 2, 3], [2, 0, 1], [4, 0, 3], "cycle"), + ([0, 0, 2, 2], [0, 0], [1, 0], "not in ascending via EdgeId"), + ], +) +def test_from_csr_validation_order(offsets, parents, via, message): + g = build(3, G_EDGES) + with pytest.raises(ValueError, match=message): + ngc.PredDAG.from_csr(g, offsets, parents, via) + + +@pytest.mark.parametrize( + "offsets", + [ + [0, 2**100, 2**99], + (0, 2**100, 2**99), + [0, 2**64 - 1, 2**64 - 2], + np.array([0, 2**64 - 1, 2**64 - 2], dtype=np.uint64), + [0, 100, 99], + ], +) +def test_from_csr_compares_offsets_beyond_int64_exactly(offsets): + # review-1b D2: two offsets above int64 compare by value, so a decreasing pair is the + # monotonicity error at its index, before the offsets[N] count check. + g = build(2, [(0, 1, 1, 1)]) + with pytest.raises(ValueError, match="not monotone at 2"): + ngc.PredDAG.from_csr(g, offsets, [], []) + increasing = [0, 2**99, 2**100] + with pytest.raises( + ValueError, match=r"offsets\[N\] = 1267650600228229401496703205376" + ): + ngc.PredDAG.from_csr(g, increasing, [], []) + + +def test_from_csr_type_and_shape_defects(): + g = build(3, G_EDGES) + with pytest.raises(ValueError, match="1-D"): + ngc.PredDAG.from_csr(g, np.zeros((2, 2), dtype=np.int64), [], []) + with pytest.raises(ValueError, match="integer"): + ngc.PredDAG.from_csr(g, [0, 0, 0, 0.0], [], []) + with pytest.raises(ValueError, match="integer"): + ngc.PredDAG.from_csr(g, [0, 0, 0, True], [], []) + + +def test_path_cost_hops_and_to_dag(): + g = build(3, G_EDGES) + p = ngc.Path(g, [[1, 0], [3]]) + assert (p.src(), p.dst(), p.cost()) == (0, 2, 2) + assert p.hops() == [[1, 0], [3]] # the caller's member order is kept + assert p.nodes() == [0, 1, 2] + dag = p.to_dag() + assert list(dag.parent_offsets()) == [0, 0, 2, 3] + assert list(dag.via_edges()) == [0, 1, 3] + assert ngc.Path(g, [[1, 0], [3]]) == p + assert ngc.Path(g, [[0, 1], [3]]) != p + assert hash(ngc.Path(g, [[1, 0], [3]])) == hash(p) + + +@pytest.mark.parametrize( + ("hops", "message"), + [ + ([[], [7]], "member 7 out of edge range"), + ([[L64]], "member 18446744073709551616 out of edge range"), + ([[0, 0], []], "duplicate member 0"), + ([], "hop list is empty"), + ([[0], []], "hop 1 is empty"), + ([[0, 2]], r"do not share \(u, v\)"), + ([[0], [2]], "not contiguous"), + ([[2], [4]], "node 0 is repeated"), + ], +) +def test_path_validation_order(hops, message): + g = build(3, G_EDGES) + with pytest.raises(ValueError, match=message): + ngc.Path(g, hops) + + +def test_path_selection_and_enums(): + sel = ngc.PathSelection( + ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, ngc.EdgePriority.HEADROOM + ) + assert (sel.multipath, sel.multi_edge) == (True, True) + assert sel.tie_break == ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY + assert sel == ngc.PathSelection( + ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, ngc.EdgePriority.HEADROOM, True, True + ) + assert sel != ngc.PathSelection( + ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, + ngc.EdgePriority.HEADROOM, + multipath=False, + ) + assert "PREFER_HIGHER_PRIORITY" in repr(sel) + with pytest.raises(TypeError): + ngc.PathSelection() # type: ignore[call-arg] # tie_break and priority are explicit + assert {m.name for m in ngc.FlowPlacement.__members__.values()} == { + "MAX_FLOW", + "WEIGHTED", + "EQUAL_BALANCED", + } + assert set(ngc.Admission.__members__) == {"LOSSLESS", "LOSSY"} + assert set(ngc.EdgePriority.__members__) == {"RESIDUAL", "CAPACITY", "HEADROOM"} + assert set(ngc.EdgeTieBreak.__members__) == { + "DETERMINISTIC", + "PREFER_HIGHER_PRIORITY", + } + + +def test_eligibility_intersect_returns_the_operand_object(): + g = build(3, G_EDGES) + everything = g.eligibility() + a = g.eligibility(excluded_edges=[0]) + b = g.eligibility(excluded_edges=[1]) + ab = g.eligibility(excluded_edges=[0, 1]) + assert ngc.Eligibility.intersect(everything, a) is a + assert ngc.Eligibility.intersect(a, everything) is a + assert ngc.Eligibility.intersect(a, a) is a + assert ngc.Eligibility.intersect(a, ab) is ab + x = ngc.Eligibility.intersect(a, b) + y = ngc.Eligibility.intersect(a, b) + assert x.uid() not in (0, a.uid(), b.uid(), y.uid()) + assert list(x.edge_allowed()) == list(ab.edge_allowed()) + other = build(3, G_EDGES) + with pytest.raises(ValueError, match="different graphs"): + ngc.Eligibility.intersect(a, other.eligibility()) From 2088f3b24bfca2c971217c855057b18d59a9e5b7 Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Tue, 6 Oct 2026 10:17:59 -0700 Subject: [PATCH 05/39] Phase 1c: the policy engine, the evaluators and the DagCache; the 1a to 1c tree coherent and groomed Build the third piece of the streamlined Core on the 1a graph, the 1b ledger and kernels, against APPROACH revision 42, then make the whole 1a to 1c tree coherent and groom its public interface before 1d: - FlowPolicy with the four routing modes (CostOnly, CapacityAware, Global, Pinned), DiminishingReturns, the cost ceiling (Absolute, Stretch), explicit placement, admission and selection; place(volume, outputs) -> PlacementResult (placed, remaining, termination, local outcomes per roster source, the two event-accumulating flags, drops, the cumulative cost curve, edge flows, residual, bottleneck, min cut); remove(), records(), record(id), placed_demand(), usable_bundles(); the roster fixed at construction (9.1); the per-source transaction of 9.2 (cumulative round-robin offers, stages 1 to 4 on a per-thread working overlay, growth never repeating a route on a multipath DAG, T_max probes within the 62-probe bound); the termination reduction and the flag table of 9.4; the epoch law and lifetimes of section 8; Global as the cumulative minimum-cost flow on V = W + own with the canonical decomposition and per-source records; every output prepared before one atomic commit, including the Python result objects (all-or-nothing across worker threads and the binding, APPROACH 13, with its two stated limits: the pybind11 object machinery, and a supplied building DagCache as a memo). - Sparse record bundles over member nodes (R16): the public CSR shape on demand, unchanged supplied bundles shared, the builder's grouping by a stable counting sort. - DagCache in building mode: key (root set, direction, Eligibility uid), value the full static support, statistics (hits, misses, entries, bytes, live values), clear(). - Evaluators: capacity, batch_capacity (arguments first, then each pair completely in pair order; the lowest failing index; explicit per-pair sequences length-checked; Pinned rejected), sensitivity (Global positive-flow candidates, the other models every allowed edge of at least one unit, signed losses, unevaluable with a reason); workers with private caches allocated before any thread starts, noexcept worker bodies, every thread joined before the lowest-index failure is rethrown; the exact shortcuts (Global loss from the baseline's maximum flow, CostOnly off-route edges skipped). - One min-cost flow core with the deletion re-solve as a mode (APPROACH 2.2): the deletion state as a value, working potentials as published potentials plus the running sum of the deletion deltas, 128-bit working arithmetic within the stated bounds, the three fixed-origin repairs with the failed-search reuse; it replaces the separate warm solver and the 1b single-bundle driver (_PinnedFlow, src/pinned_flow.cpp); a one-bundle Pinned FlowPolicy stands in for the latter. - The coherence pass of the whole tree: no dead code, no wrong comment, no leaked abstraction, one implementation per rule; profiling removed; the test probes and trace behind the CMake option NETGRAPH_CORE_PRIVATE_HOOKS (OFF for wheels, ON for the development build and the tests; the OFF build exports no hook, probe or trace symbol); transactional copy assignment of the deletion state; validating constructors for every enumeration-typed option (std::invalid_argument naming the field). - The public interface groomed to one scheme: Graph (was StrictMultiDiGraph), FlowLedger (was FlowGraph) taken by FlowPolicy as ledger=, OutputOptions (was Outputs), DiminishingReturns (was Diminishing), MAX_FLOWS_PER_CALL in Python (kMaxFlowsPerCall in C++); the public headers split so each says what it holds (graph.hpp, eligibility.hpp, flow_record.hpp, flow_ledger.hpp, flow_policy.hpp, evaluators.hpp, dag_cache.hpp, options.hpp with the two placement enums, pred_dag.hpp, types.hpp); Counter128 self-contained, so no public header includes a detail/ header; the private headers and the test files on one naming scheme; the policy fixture data in tests/data/ with a maintained exporter; no alias, no re-export, no adapter of a retired spelling. - The kernel's round robin as one inline callback template (one implementation of the split; the span form a wrapper), so allocate and the Lossy step run in one pass: the coherence pass's two-pass form had cost kernel.eb.grid 11 percent against df3b894; results unchanged. - The kernel plan builder fills its arrays by index into pre-sized vectors instead of push_back: under Xcode 27's libc++ 22 the push_back form cost the kernel rows about ten percent (emplace_back's new fast-path and slow-path lambdas); results unchanged. - Bindings, _docs.py stubs and the Python package for every class and function (keyword-only configuration objects, keep-alive of ledger, Eligibility and cache, the GIL released in the evaluators); pytest collects tests/ only; 157 C++ tests (134 ordinary, 23 in the separate fault executable) and 266 Python tests, with fault-injection sweeps of every growth, publication and deletion path at 1, 2 and 4 workers and at every Python allocation position. Gates (dev/design/2026-10-streamline/gates/1c/, uncommitted design tree), on the final groomed build with the private hooks on and off: workspace check and sanitizers green; the fault executable under the sanitizers; the warning-set builds with 0 diagnostics; the literal equivalence run 0 failures (31,788 unchanged, 28,224 new-api, 14,778 rule, 13,701 new-only; the rest invalid-input, deferred to 1d or absent by rule); oracle population 13,901 pass / 0 fail (ksp and spf queries wait for 1d); every returned value checked and proven by mutation (114,222 corruptions of the accepted results, 0 undocumented survivors); inventory CHECK OK on 1,249 rows, 0 Core callers of any deleted symbol; prototype parity identical on the 1b and 1c drivers (45 and 59 fixtures, 8,412 random cases); every recorded result of the groomed build identical to the pre-grooming build's (20,960 of 20,960) and to the frozen 1c baseline; A/B/A against df3b894 on the final tree (both sides Apple clang 21 build 2100.3.34.2, Xcode 27), 15 of 15 rows: construction -43 and -52 percent, the kernels -3 to -28 (kernel.eb.grid -1.8 within tolerance), capacity -28 and -24, max-flow -13 and -14, sensitivity -8 (the deletion re-solve replacing the separate warm solver) and -92, the CapacityAware cohort rows -61 and -99.6; the new-model rows as target-versus-target A/A, 3 of 3. Reviewed adversarially (review-1c, review-1c-fixes, review-1c-r29, review-resolve 1 to 3, review-audit-1abc, review-coherence, review-coherence-rc, review-naming 1 to 4, review-grooming, review-timing-fixes): F1 to F5 fixed (a worker-thread allocation that escaped to std::terminate, Python publication after the commit, batch validation order, the explicit empty eligibility list, the Global zero call's cumulative curve); the coherence audits' findings fixed and RC1 to RC3 closed; the tooling's twelve gate holes (W11) closed by W12 before these gates ran. NetGraph stays red until its migration converges (Phase 2). Co-Authored-By: Claude Fable 5.1 --- CHANGELOG.md | 140 +- CMakeLists.txt | 39 +- Makefile | 2 +- README.md | 112 +- bindings/python/module.cpp | 1083 ++++++++-- dev/cpp-tests.sh | 2 +- include/netgraph/core/dag_cache.hpp | 67 + include/netgraph/core/detail/endpoints.hpp | 55 + include/netgraph/core/detail/enum_domain.hpp | 66 + .../netgraph/core/detail/evaluator_checks.hpp | 28 + include/netgraph/core/detail/flow_core.hpp | 225 ++- include/netgraph/core/detail/int128.hpp | 76 +- include/netgraph/core/detail/kernels.hpp | 115 +- .../netgraph/core/detail/ledger_access.hpp | 50 +- include/netgraph/core/detail/node_map.hpp | 2 - include/netgraph/core/detail/pinned_flow.hpp | 104 - .../netgraph/core/detail/policy_engine.hpp | 80 + .../netgraph/core/detail/pred_dag_builder.hpp | 21 +- .../netgraph/core/detail/private_hooks.hpp | 51 + include/netgraph/core/detail/search.hpp | 85 +- include/netgraph/core/detail/trace.hpp | 97 + include/netgraph/core/eligibility.hpp | 46 + include/netgraph/core/evaluators.hpp | 89 + .../core/{flow_graph.hpp => flow_ledger.hpp} | 26 +- include/netgraph/core/flow_policy.hpp | 160 ++ .../core/{flow.hpp => flow_record.hpp} | 19 +- .../{strict_multidigraph.hpp => graph.hpp} | 60 +- include/netgraph/core/max_flow.hpp | 61 - include/netgraph/core/options.hpp | 43 +- include/netgraph/core/pred_dag.hpp | 27 +- include/netgraph/core/profiling.hpp | 116 -- include/netgraph/core/types.hpp | 7 +- pyproject.toml | 9 +- python/netgraph_core/__init__.py | 100 +- python/netgraph_core/_docs.py | 509 ++++- src/dag_cache.cpp | 76 + src/eligibility.cpp | 81 + src/evaluators.cpp | 315 +++ src/flow_core.cpp | 880 +++++++++ src/{flow_graph.cpp => flow_ledger.cpp} | 101 +- src/flow_policy.cpp | 1741 +++++++++++++++++ src/{strict_multidigraph.cpp => graph.cpp} | 76 +- src/kernels.cpp | 448 ++--- src/max_flow.cpp | 581 ------ src/pinned_flow.cpp | 252 --- src/pred_dag.cpp | 105 +- src/profiling.cpp | 131 -- src/search.cpp | 100 +- ...asking_tests.cpp => eligibility_tests.cpp} | 8 +- tests/cpp/fault_injection.hpp | 101 + tests/cpp/flow_core_deletion_fault_tests.cpp | 453 +++++ tests/cpp/flow_core_deletion_tests.cpp | 856 ++++++++ ...max_flow_tests.cpp => flow_core_tests.cpp} | 25 +- ..._tests.cpp => flow_ledger_fault_tests.cpp} | 192 +- ..._graph_tests.cpp => flow_ledger_tests.cpp} | 250 ++- tests/cpp/flow_policy_fault_tests.cpp | 462 +++++ tests/cpp/flow_policy_fixture_tests.cpp | 891 +++++++++ tests/cpp/flow_policy_tests.cpp | 704 +++++++ ...multidigraph_tests.cpp => graph_tests.cpp} | 10 +- tests/cpp/kernels_tests.cpp | 185 +- tests/cpp/pinned_one.hpp | 54 + tests/cpp/pred_dag_tests.cpp | 64 +- tests/cpp/search_tests.cpp | 13 +- tests/cpp/smoke_test.cpp | 30 - tests/cpp/test_utils.hpp | 31 +- tests/data/policy_fixtures.json | 1 + tests/py/private_hooks.py | 12 + ...lace_global_units.py => test_flow_core.py} | 6 +- .../{test_ledger.py => test_flow_ledger.py} | 172 +- tests/py/test_flow_policy.py | 514 +++++ tests/py/test_flow_policy_fixtures.py | 342 ++++ tests/py/test_graph.py | 56 +- tests/py/test_imports.py | 46 - tests/py/test_internal_search.py | 8 +- tests/py/test_public_surface.py | 140 ++ tests/py/test_route_structures.py | 3 +- 76 files changed, 11473 insertions(+), 2815 deletions(-) create mode 100644 include/netgraph/core/dag_cache.hpp create mode 100644 include/netgraph/core/detail/endpoints.hpp create mode 100644 include/netgraph/core/detail/enum_domain.hpp create mode 100644 include/netgraph/core/detail/evaluator_checks.hpp delete mode 100644 include/netgraph/core/detail/pinned_flow.hpp create mode 100644 include/netgraph/core/detail/policy_engine.hpp create mode 100644 include/netgraph/core/detail/private_hooks.hpp create mode 100644 include/netgraph/core/detail/trace.hpp create mode 100644 include/netgraph/core/eligibility.hpp create mode 100644 include/netgraph/core/evaluators.hpp rename include/netgraph/core/{flow_graph.hpp => flow_ledger.hpp} (83%) create mode 100644 include/netgraph/core/flow_policy.hpp rename include/netgraph/core/{flow.hpp => flow_record.hpp} (69%) rename include/netgraph/core/{strict_multidigraph.hpp => graph.hpp} (66%) delete mode 100644 include/netgraph/core/max_flow.hpp delete mode 100644 include/netgraph/core/profiling.hpp create mode 100644 src/dag_cache.cpp create mode 100644 src/eligibility.cpp create mode 100644 src/evaluators.cpp create mode 100644 src/flow_core.cpp rename src/{flow_graph.cpp => flow_ledger.cpp} (82%) create mode 100644 src/flow_policy.cpp rename src/{strict_multidigraph.cpp => graph.cpp} (74%) delete mode 100644 src/max_flow.cpp delete mode 100644 src/pinned_flow.cpp delete mode 100644 src/profiling.cpp rename tests/cpp/{masking_tests.cpp => eligibility_tests.cpp} (93%) create mode 100644 tests/cpp/fault_injection.hpp create mode 100644 tests/cpp/flow_core_deletion_fault_tests.cpp create mode 100644 tests/cpp/flow_core_deletion_tests.cpp rename tests/cpp/{max_flow_tests.cpp => flow_core_tests.cpp} (96%) rename tests/cpp/{ledger_fault_tests.cpp => flow_ledger_fault_tests.cpp} (63%) rename tests/cpp/{flow_graph_tests.cpp => flow_ledger_tests.cpp} (75%) create mode 100644 tests/cpp/flow_policy_fault_tests.cpp create mode 100644 tests/cpp/flow_policy_fixture_tests.cpp create mode 100644 tests/cpp/flow_policy_tests.cpp rename tests/cpp/{strict_multidigraph_tests.cpp => graph_tests.cpp} (97%) create mode 100644 tests/cpp/pinned_one.hpp delete mode 100644 tests/cpp/smoke_test.cpp create mode 100644 tests/data/policy_fixtures.json create mode 100644 tests/py/private_hooks.py rename tests/py/{test_place_global_units.py => test_flow_core.py} (98%) rename tests/py/{test_ledger.py => test_flow_ledger.py} (66%) create mode 100644 tests/py/test_flow_policy.py create mode 100644 tests/py/test_flow_policy_fixtures.py delete mode 100644 tests/py/test_imports.py create mode 100644 tests/py/test_public_surface.py diff --git a/CHANGELOG.md b/CHANGELOG.md index 1e22dae..285898c 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -7,69 +7,91 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ## [Unreleased] -### Streamline sub-PR 1b (breaking; integration branch `streamline`) - -- **Ledger**: `FlowGraph(graph, residual=None)` is the integer ledger: a baseline in units - (validated within `[0, capacity_units]`), records as snapshots in FlowId order - (`records()`, `record(flow_id)` with `FlowId = (ledger uid, id)`, ids never reused), - `capacity_units()`, `residual()`, `allocated()`, `bottleneck(sources, elig)`, `reset()` and - `copy()` with the lifetime table (bound, orphaned records; reset and copy rejected while a - policy is bound). `FlowRecord` carries the flow's endpoints as sets, placement, admission, - bundle (`PredDAG`), route cost, `offered` (Lossy only), delivery and per-edge allocations and - drops; counters are 128-bit (exact Python ints). Every policy call reaches the ledger as one - atomic exchange: a failed call, an allocation failure included, changes nothing. -- **Kernels**: `FlowPlacement` (`MAX_FLOW`, `WEIGHTED`, `EQUAL_BALANCED`) and `Admission` - (`LOSSLESS`, `LOSSY`). MaxFlow solves the flow core on the flow's split graph over - `residual + own allocation` (its own allocation cancellable, other owners never); Weighted - apportions by highest averages (D'Hondt, EdgeId ties) over weights frozen at creation from - `priority`; EqualBalanced by round robin from the lowest EdgeId; the cumulative amount grows - to `max(T, min(T + v, T_max))` with `T_max` found exactly on the monotone allocation; Lossy - splits each offer per call and records transit drops. Exercised through the private - `_netgraph_core._PinnedFlow` (a Pinned placement with one bundle) until the policy engine. -- **Route structures**: `PredDAG.from_csr(graph, offsets, parents, via)` with the complete - validation (shape, ranges, endpoints, duplicates, cycles, ascending via within a node), on - the exact integers also beyond int64; - `Path(graph, hops)` with `to_dag()`; `PathSelection`, `EdgeTieBreak` - (`DETERMINISTIC`, `PREFER_HIGHER_PRIORITY`), `EdgePriority`. -- **Eligibility**: `Eligibility.intersect(a, b)`. -- **Search** (internal until sub-PR 1d): the unique shortest-path DAG from a root set in both - directions, anycast pruning to the nearest targets, and the staged canonical single path - (tight DAG, best attainable bottleneck under `PREFER_HIGHER_PRIORITY`, hops, edge ids). - -### Streamline sub-PR 1a (breaking; integration branch `streamline`) - -The release rebuilds Core in sub-PRs (`dev/design/2026-10-streamline/`). Sub-PR 1a: - -- **Removed**: the previous library and its bindings: `FlowState`, `FlowGraph`, `FlowPolicy` - and their configuration, the backend and algorithms facade, the search entry points - (`shortest_paths`, `shortest_paths_to`, `spf_dag`, `k_shortest_paths`), max-flow, batch - max-flow and sensitivity, the SPF memo and `StateStamp`, `kMinFlow`, `kEpsilon`, - `constants.hpp`, the Python profiling accessors, and their tests. The ledger, kernels, - policies, searches and evaluators return in sub-PRs 1b to 1d; the entries below the 1a block - describe the removed API. -- **Graph**: `StrictMultiDiGraph(num_nodes, src, dst, capacity_units, cost, resolution)` is the - one constructor: capacities are `int64` units of an explicit resolution (a power of two in - `[2^-32, 2^32]`), costs are positive integers, and the public `EdgeId` is the rank of an edge in - `(src, cost, dst, input)` with `input_index()` mapping ids to input positions. Validation - reports the first defect in a fixed order (unit values, shapes, costs, remaining bounds, - including the cost-sum guard). Accessors return read-only NumPy views. `Eligibility` is built - from excluded node ids and EdgeIds. `to_units` (round half up) and `as_float` are the only - conversions between physical values and units. -- **Flow core**: one integer minimum-cost flow (successive shortest paths with potentials, Dinic - phases per cost tier, every edge its own arc, arcs at a node in ascending EdgeId) behind the - private entry `_netgraph_core._place_global_units`, returning the value, the marginal cost - curve, edge flows, the residual minimum cut, the potentials and six operation counters. +The streamlined Core (breaking; integration branch `streamline`): one numeric domain (integer +units), one flow core, one placement engine. It replaces the 0.11 API. -### Added +### Changed -- **Shortest Paths**: `shortest_paths_dag(g, src, dst, ...)` (C++) and `Backend::spf_dag` / `Algorithms::spf_dag` return the destination's cost and the predecessor DAG without materialising the N-sized distance vector; `calc_max_flow`, `FlowState::place_max_flow`, `FlowPolicy` and the KSP spur searches now use it (outputs unchanged). `Backend::spf_dag` has a default implementation derived from `spf`, so other backends need no change. Measured old/new/old against 0.11.0: about 1.25x on first-neighbour searches at 16k–262k nodes, unchanged on full searches. -- **Graph**: `StrictMultiDiGraph.max_cost()` / `cost_gcd()` in Python, the inputs of the bucket-queue dispatch rule (`max_cost // cost_gcd + 1 <= 65536`). -- **Explicit Paths**: `PredDAG.from_hops(graph, hops)` (C++ `make_hops_dag`) builds a route whose hops may each use several parallel edges, so a pinned bundle carries all of them (a 4 x 10 bundle carries 40 where `from_edges` with one edge carries 10). `from_edges` is the one-edge-per-hop case and shares the validation. -- **Shortest Paths**: `EdgeSelection.priority` (`EdgePriority.RESIDUAL` | `CAPACITY` | `HEADROOM`) selects the per-edge value that the `PREFER_HIGHER_RESIDUAL` tie-break and the node-level bottleneck ordering rank by: the residual (the default and the previous behaviour), the static capacity even when a residual is supplied, or the headroom `residual / capacity`. Capacity gating is unchanged and always uses the residual. The default route is unaffected (same code, bit-identical outputs); the other priorities cost one extra capacity load (and a division for headroom) per examined edge. +- **Graph**: `Graph(num_nodes, src, dst, capacity_units, cost, resolution)` (replacing 0.11's + `StrictMultiDiGraph`) is the one constructor: capacities are `int64` units of an explicit + resolution (a power of two in `[2^-32, 2^32]`), costs are positive integers, and the public + `EdgeId` is the rank of an edge in `(src, cost, dst, input)` with `input_index()` mapping ids + to input positions. Validation reports the first defect in a fixed order (the resolution, the + unit values, the shapes, zero or negative costs, the remaining bounds including the cost-sum + guard), on the exact integers also beyond int64. Accessors return read-only NumPy views. + `Eligibility` is built from excluded node ids and EdgeIds, with `Eligibility.intersect(a, b)`. + `to_units` (round half up) and `as_float` are the only conversions between physical values and + units. +- **Route structures**: `PredDAG.from_csr(graph, offsets, parents, via)` with the complete + validation (shape, ranges, endpoints, duplicates, cycles, ascending via within a node); a DAG + is stored over its member nodes and presents the CSR shape on demand. `Path(graph, hops)` + with `to_dag()`. `PathSelection`, `EdgeTieBreak` (`DETERMINISTIC`, `PREFER_HIGHER_PRIORITY`), + `EdgePriority` (`RESIDUAL`, `CAPACITY`, `HEADROOM`). +- **Ledger**: `FlowLedger(graph, residual=None)` (replacing 0.11's `FlowGraph`) is the integer + ledger: a baseline in units (validated within `[0, capacity_units]`), records as snapshots in + FlowId order (`records()`, `record(flow_id)` with `FlowId = (ledger uid, id)`, ids never + reused), `capacity_units()`, `residual()`, `allocated()`, `bottleneck(sources, elig)`, + `reset()` and `copy()` with the lifetime table (bound and orphaned records; reset and copy + rejected while a policy is bound). `FlowRecord` carries the flow's endpoints as sets, + placement, admission, bundle (`PredDAG`), route cost, `offered` (Lossy only), delivery and + per-edge allocations and drops; counters are 128-bit (exact Python ints). The ledger is + mutated only through policies. +- **Kernels**: `FlowPlacement` (`MAX_FLOW`, `WEIGHTED`, `EQUAL_BALANCED`) and `Admission` + (`LOSSLESS`, `LOSSY`). MaxFlow solves the flow core on the flow's split graph over the residual + plus its own allocation; Weighted apportions by highest averages (D'Hondt, EdgeId ties) over + weights frozen at creation from `priority`; EqualBalanced by round robin from the lowest + EdgeId; Lossy splits each offer per call and records transit drops. +- **Policies**: `FlowPolicy(ledger, sources, destinations, config, elig=None, cache=None)` + is the one placement engine. `FlowPolicyConfig(routing=..., placement=..., admission=..., + selection=...)` has four explicit axes; the routing is `CostOnly()`, `CapacityAware(...)` + (flow count, an optional maximum, an `Absolute` or `Stretch` cost ceiling, a minimum flow + bandwidth in units, reoptimisation, `DiminishingReturns(window, fraction)`), `Global()` or + `Pinned(bundles)`; values outside an enumeration raise `ValueError`. `place(volume, + outputs=None)` runs the per-source transaction (creation, reoptimisation, amounts, growth; at + most `MAX_FLOWS_PER_CALL` creations per call) or, on Global, the cumulative minimum-cost flow on + the residual plus the policy's own allocation, and returns `PlacementResult` (`placed`, + `remaining`, `termination`, `local_outcomes`, `routes_changed`, `weights_changed`, `drops`, + Global's `cost_distribution`, and `edge_flows`, `residual`, `bottleneck` and Global's + `min_cut` when requested through `OutputOptions`). Validation precedes the zero-volume shortcut. + `remove()`, `records()`, `record(flow_id)` (the policy's own records), `placed_demand()` and + `usable_bundles()` complete the policy. +- **Failure guarantee**: every public call is all-or-nothing up to its caller, an allocation + failure included, across worker threads and the Python result. Two limits: the pybind11 object + machinery (a construction or conversion outside the staged calls allocates through + `make_new_instance`, which does not check `tp_alloc`: a Python allocation failure there + crashes the process, Core state unchanged), and a supplied building `DagCache`, a memo that + keeps the complete entries and statistics of the lookups that succeeded before a failure. +- **DagCache**: `DagCache(graph)` in building mode: keyed by the root set, the direction and + the Eligibility, its values the full static supports (immutable, shared, valid after + `clear()`), with `stats()` (`hits`, `misses`, `entries`, `bytes`, `live_values`). +- **Evaluators**: `capacity(graph, sources, destinations, CapacityOptions(...))` (with Global + and MaxFlow the exact maximum flow, its marginal cost curve and its minimum cut), + `batch_capacity(graph, pairs, opts, per_pair_elig=None, workers=None)` (pair order; the lowest + failing index raises; a supplied cache needs `workers == 1`) and `sensitivity(graph, sources, + destinations, SensitivityOptions(...), workers=None)` (every candidate edge, the signed + unthresholded loss in units, unevaluable edges with their reason). The default worker counts + read `NGRAPH_CORE_BATCH_THREADS` and `NGRAPH_CORE_SENSITIVITY_THREADS` (1 when unset). +- **Flow core**: one integer minimum-cost flow (successive shortest paths with potentials, + Dinic phases per cost tier, every edge its own arc, arcs at a node in ascending EdgeId) serves + Global routing, the MaxFlow kernel and the evaluators (the exact sensitivity model re-solves + each deletion from the baseline solve's final state); the private entry + `_netgraph_core._place_global_units` returns the value, the marginal cost curve, edge flows, + the residual minimum cut, the potentials and six operation counters. +- **C++ headers** (under `netgraph/core/`): `types.hpp`, `graph.hpp` (`Graph`, `to_units`, + `as_float`; it includes `eligibility.hpp`), `eligibility.hpp`, `options.hpp` (the selection + axes, `FlowPlacement`, `Admission`), `pred_dag.hpp`, `flow_record.hpp` (`FlowId`, + `Counter128`, `FlowRecord`), `flow_ledger.hpp`, `flow_policy.hpp`, `dag_cache.hpp` and + `evaluators.hpp`; each compiles alone and includes no `detail/` header. Python spells the + creation cap `MAX_FLOWS_PER_CALL` (C++ `kMaxFlowsPerCall`). -### Fixed +### Removed -- **Flow Policy**: two policies managing the same `(src, dst, flowClass)` on one `FlowGraph` assign the same flow ids, so they previously merged their allocations under identical ledger keys and `remove_demand` on one zeroed the other's flow. Creating a flow whose index the ledger already holds now raises `ValueError` instead. +- The 0.11 library and its bindings: `FlowState`, the previous `FlowGraph` and `FlowPolicy` and + their configuration, the backend and algorithms facade (with its `Graph` handle), the search + entry points (`shortest_paths`, `shortest_paths_to`, `spf_dag`, `k_shortest_paths`), max-flow, + batch max-flow and the previous sensitivity, the SPF memo and `StateStamp`, `kMinFlow`, + `kEpsilon`, `constants.hpp`, and the profiling facility (the Python accessors, the C++ scopes + and `NGRAPH_CORE_PROFILE`). ## [0.11.0] - 2026-10-02 diff --git a/CMakeLists.txt b/CMakeLists.txt index 86c7559..bb219ef 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -4,6 +4,10 @@ project(netgraph_core LANGUAGES CXX) set(PYBIND11_FINDPYTHON NEW CACHE STRING "Use modern FindPython in pybind11") # Optional C++ tests option(NETGRAPH_CORE_BUILD_TESTS "Build C++ unit tests" OFF) +# The private hooks (test controls and prototype-parity diagnostics the contract does not name): +# ON for the editable development build (pyproject.toml) and the test suites (dev/cpp-tests.sh), +# OFF for an installed wheel. +option(NETGRAPH_CORE_PRIVATE_HOOKS "Build the private test hooks into the library and the extension" OFF) if(NETGRAPH_CORE_BUILD_TESTS) include(FetchContent) FetchContent_Declare( @@ -14,17 +18,20 @@ if(NETGRAPH_CORE_BUILD_TESTS) FetchContent_MakeAvailable(googletest) enable_testing() add_executable(netgraph_core_tests - tests/cpp/smoke_test.cpp - tests/cpp/strict_multidigraph_tests.cpp - tests/cpp/max_flow_tests.cpp - tests/cpp/masking_tests.cpp + tests/cpp/graph_tests.cpp + tests/cpp/flow_core_tests.cpp + tests/cpp/flow_core_deletion_tests.cpp + tests/cpp/eligibility_tests.cpp tests/cpp/pred_dag_tests.cpp tests/cpp/search_tests.cpp tests/cpp/kernels_tests.cpp - tests/cpp/flow_graph_tests.cpp + tests/cpp/flow_ledger_tests.cpp + tests/cpp/flow_policy_fixture_tests.cpp + tests/cpp/flow_policy_tests.cpp ) target_link_libraries(netgraph_core_tests PRIVATE netgraph_core GTest::gtest_main) target_include_directories(netgraph_core_tests PRIVATE tests/cpp) + target_compile_definitions(netgraph_core_tests PRIVATE NETGRAPH_CORE_TEST_DATA="${CMAKE_CURRENT_SOURCE_DIR}/tests/data") if(NETGRAPH_CORE_COVERAGE AND (CMAKE_CXX_COMPILER_ID MATCHES "GNU|Clang")) # Atomic counters: see the NETGRAPH_CORE_COVERAGE block below. target_compile_options(netgraph_core_tests PRIVATE -O0 -g --coverage) @@ -34,7 +41,8 @@ add_executable(netgraph_core_tests target_link_options(netgraph_core_tests PRIVATE --coverage) endif() # Allocation-failure tests replace the global operator new: a separate executable. - add_executable(netgraph_core_fault_tests tests/cpp/ledger_fault_tests.cpp) + add_executable(netgraph_core_fault_tests tests/cpp/flow_ledger_fault_tests.cpp tests/cpp/flow_policy_fault_tests.cpp + tests/cpp/flow_core_deletion_fault_tests.cpp) target_link_libraries(netgraph_core_fault_tests PRIVATE netgraph_core GTest::gtest_main) target_include_directories(netgraph_core_fault_tests PRIVATE tests/cpp) if(NETGRAPH_CORE_COVERAGE AND (CMAKE_CXX_COMPILER_ID MATCHES "GNU|Clang")) @@ -86,19 +94,23 @@ endif() add_library(netgraph_core STATIC - src/strict_multidigraph.cpp - src/max_flow.cpp + src/graph.cpp + src/eligibility.cpp + src/flow_core.cpp src/pred_dag.cpp src/search.cpp src/kernels.cpp - src/flow_graph.cpp - src/pinned_flow.cpp - src/profiling.cpp + src/flow_ledger.cpp + src/dag_cache.cpp + src/flow_policy.cpp + src/evaluators.cpp ) target_include_directories(netgraph_core PUBLIC $ $ ) +# PUBLIC: the library, the extension and the tests see one value (0 or 1). +target_compile_definitions(netgraph_core PUBLIC NETGRAPH_CORE_PRIVATE_HOOKS=$) ## C++ standard is set globally above. target_compile_features(netgraph_core PUBLIC cxx_std_20) @@ -219,9 +231,8 @@ endif() if(NETGRAPH_CORE_COVERAGE) message(STATUS "Enabling coverage instrumentation (disables optimizations)") if(CMAKE_CXX_COMPILER_ID MATCHES "GNU|Clang") - # Worker threads (batch and sensitivity evaluators from 1c on) corrupt the default - # non-atomic profile counters under concurrent updates (gcov then emits impossible - # values such as "branch 4 taken -1"). + # The evaluators' worker threads corrupt the default non-atomic profile counters under + # concurrent updates (gcov then emits impossible values such as "branch 4 taken -1"). set(COV_FLAGS -O0 -g --coverage) if(CMAKE_CXX_COMPILER_ID MATCHES "GNU") list(APPEND COV_FLAGS -fprofile-update=atomic) diff --git a/Makefile b/Makefile index 0e41d81..cbcd14f 100644 --- a/Makefile +++ b/Makefile @@ -258,7 +258,7 @@ cov: mkdir -p "$$BUILD_DIR"; \ GEN_ARGS=""; \ if command -v ninja >/dev/null 2>&1; then GEN_ARGS="-G Ninja"; fi; \ - cmake -S . -B "$$BUILD_DIR" -DNETGRAPH_CORE_BUILD_TESTS=ON -DNETGRAPH_CORE_COVERAGE=ON -DCMAKE_BUILD_TYPE=Debug $$GEN_ARGS; \ + cmake -S . -B "$$BUILD_DIR" -DNETGRAPH_CORE_BUILD_TESTS=ON -DNETGRAPH_CORE_PRIVATE_HOOKS=ON -DNETGRAPH_CORE_COVERAGE=ON -DCMAKE_BUILD_TYPE=Debug $$GEN_ARGS; \ cmake --build "$$BUILD_DIR" --config Debug -j; \ ctest --test-dir "$$BUILD_DIR" --output-on-failure || echo "⚠️ Some C++ tests failed (continuing for coverage)" @echo "📈 Generating C++ coverage XML (gcovr)..." diff --git a/README.md b/README.md index 7d4e4fd..f2aebf7 100644 --- a/README.md +++ b/README.md @@ -2,13 +2,12 @@ C++ graph engine for network flow analysis, traffic engineering simulation, and capacity planning. -> **Streamline in progress.** The `streamline` branch rebuilds Core in sub-PRs -> (`dev/design/2026-10-streamline/`). This build (sub-PR 1b) carries the graph on integer -> units, the minimum-cost flow core behind a private entry point, the route structures -> (`PredDAG`, `Path`), the integer ledger `FlowGraph` and the placement kernels (exercised -> through private entries until the policy engine arrives); policies, the public searches and -> the evaluators return in the following sub-PRs. The previous API (0.12 and earlier) is in git -> history and on PyPI. +> **Streamline in progress.** The `streamline` branch rebuilds Core. This build carries the +> graph on integer units, the minimum-cost flow core, the route structures (`PredDAG`, `Path`), +> the integer ledger `FlowLedger` with the placement kernels, the policy engine `FlowPolicy`, the +> `DagCache` (building mode) and the evaluators `capacity`, `batch_capacity` and `sensitivity`. +> The public search API (shortest paths, k shortest paths, path resolution) and the frozen cache +> are not part of it yet. The previous API (0.11 and earlier) is in git history and on PyPI. ## Overview @@ -26,10 +25,10 @@ C++ graph engine for network flow analysis, traffic engineering simulation, and ### Graph -- **`StrictMultiDiGraph(num_nodes, src, dst, capacity_units, cost, resolution)`**: immutable +- **`Graph(num_nodes, src, dst, capacity_units, cost, resolution)`**: immutable directed multigraph with forward and reverse CSR adjacency; parallel edges and self-loops are - allowed. Validation reports the first defect in a fixed order (unit values, shapes, costs, - remaining bounds). Accessors (`capacity_units()`, `cost()`, `edge_src()`, `edge_dst()`, + allowed. Validation reports the first defect in a fixed order (the resolution, the unit + values, the shapes, zero or negative costs, the remaining bounds). Accessors (`capacity_units()`, `cost()`, `edge_src()`, `edge_dst()`, `input_index()`, `row_offsets()`, `in_row_offsets()`, `in_adj_edge_index()`) return read-only NumPy views that keep the graph alive. - **`Eligibility`**: immutable, graph-bound static eligibility built by @@ -38,8 +37,9 @@ C++ graph engine for network flow analysis, traffic engineering simulation, and ### Route structures -- **`PredDAG`**: immutable, graph-bound predecessor DAG in CSR form (`parent_offsets()`, - `parents()`, `via_edges()`), entries in ascending via EdgeId within a node. +- **`PredDAG`**: immutable, graph-bound predecessor DAG, stored over its member nodes and + presented in CSR form (`parent_offsets()` built on demand, `parents()`, `via_edges()`), + entries in ascending via EdgeId within a node. `PredDAG.from_csr(graph, offsets, parents, via)` validates the shape, the ranges and endpoints, duplicates, acyclicity and the canonical order before accepting a DAG. - **`Path(graph, hops)`**: an explicit walk whose hops may hold several parallel members; @@ -50,7 +50,7 @@ C++ graph engine for network flow analysis, traffic engineering simulation, and ### Ledger and kernels -- **`FlowGraph(graph, residual=None)`**: the integer ledger of one graph: an immutable baseline +- **`FlowLedger(graph, residual=None)`**: the integer ledger of one graph: an immutable baseline in units and the records (`FlowRecord`: flow id, owner, endpoints, placement, admission, bundle, route cost, offered, delivered, per-edge allocation and drops) of the flows placed on it. `allocated()` is the exact sum of the records and `residual()` the baseline minus it; @@ -59,35 +59,84 @@ C++ graph engine for network flow analysis, traffic engineering simulation, and - **Kernels** (`FlowPlacement`: `MAX_FLOW`, `WEIGHTED`, `EQUAL_BALANCED`; `Admission`: `LOSSLESS`, `LOSSY`): MaxFlow is the flow core on the flow's DAG (a replacement on its own allocation plus the residual), Weighted splits by highest averages over weights frozen at - creation, EqualBalanced by round robin; Lossy forwards hop by hop and records drops. Until the - policy engine lands, a placement on one bundle runs through the private - `_netgraph_core._PinnedFlow`. + creation, EqualBalanced by round robin; Lossy forwards hop by hop and records drops. + +### Policies + +- **`FlowPolicy(ledger, sources, destinations, config, elig=None, cache=None)`**: the one + placement engine, bound to its ledger. `FlowPolicyConfig(routing=..., placement=..., + admission=..., selection=...)` has four explicit axes; the routing is `CostOnly()` (static + shortest paths), `CapacityAware(flow_count=1, max_flow_count=None, max_path_cost=None, + min_flow_bandwidth=0, reoptimize=False, diminishing=None)` (residual-aware searches with an + `Absolute` or `Stretch` cost ceiling, a `DiminishingReturns(window, fraction)` guard, and at + most `MAX_FLOWS_PER_CALL` (10,000) creations per call), `Global()` (the minimum-cost flow of the policy's + sources to its destinations on the residual plus its own allocation) or `Pinned(bundles)` + (fixed `PredDAG`s). +- **`place(volume, outputs=None)`** runs one transaction per call (per source for CostOnly and + CapacityAware, cumulative on Global) and returns a `PlacementResult` (`placed`, `remaining`, + `termination`, `local_outcomes`, `routes_changed`, `weights_changed`, `drops` and the + optional `cost_distribution` (Global) and, when requested through `OutputOptions`, `edge_flows`, + `residual`, `bottleneck` and, on Global with `OutputOptions(bottleneck=True)`, `min_cut`). + `remove()` reverts the policy's flows; `records()`, `record(flow_id)`, `placed_demand()` and + `usable_bundles()` read its state. +- **Failure guarantee**: every public call is all-or-nothing up to its caller: a failure + anywhere (validation, allocation, a worker thread, the construction of the Python result) + leaves every ledger, policy, cache and scratch buffer as it was and raises one exception. + Two limits: the pybind11 object machinery is outside the guarantee (constructing a bound + object from Python, or a conversion into a new bound object or container outside the staged + calls, allocates through pybind11's `make_new_instance`, which does not check `tp_alloc`, so a + Python allocation failure there crashes the process, with Core state unchanged); and a + supplied building `DagCache` is a memo that keeps the complete entries and statistics of the + lookups that succeeded before a later failure of the call. + +### DagCache + +`DagCache(graph)` keeps the static shortest-path supports policies build, keyed by the root +set, the direction and the Eligibility; values are immutable and shared, and `stats()` reports +hits, misses, entries, retained bytes and live values. This build has the building mode (one +writer); the frozen mode follows. + +### Evaluators + +`capacity(graph, sources, destinations, CapacityOptions(config, elig=None, cache=None, +outputs=None))` is `place(+inf)` of a policy on a fresh ledger; Global with MaxFlow gives the +exact maximum flow with its marginal cost curve, and its minimum cut with +`outputs=OutputOptions(bottleneck=True)`. `batch_capacity(graph, pairs, +opts, per_pair_elig=None, workers=None)` evaluates pairs in pair order (the lowest failing +index raises). `sensitivity(graph, sources, destinations, SensitivityOptions(...), +workers=None)` reports, for every candidate edge, the signed loss in placed units when the +edge is removed. The default worker counts come from `NGRAPH_CORE_BATCH_THREADS` and +`NGRAPH_CORE_SENSITIVITY_THREADS`. ### Flow core -`_netgraph_core._place_global_units(graph, view, sources, destinations, elig, cap)` computes -the minimum-cost flow of the maximum value attainable under `cap` (`None`: uncapped) from a -source set to a destination set over the eligible edges, on the capacities `view` (units, id -order), starting from zero flow. It returns `{placed, cost_distribution, edge_flows, min_cut, -potentials, counters}`. It is private: the recorder and the gates use it; the public evaluators -built on it arrive with the policy engine. +One native integer minimum-cost flow core serves Global routing, the MaxFlow kernel and the +evaluators: the minimum-cost flow of the maximum value attainable under a cap from a source set +to a destination set over the eligible edges, starting from zero flow; the exact sensitivity +model re-solves each deletion from the baseline solve's final state. Its private Python entry +`_netgraph_core._place_global_units(graph, view, sources, destinations, elig, cap)` returns the +payload `{placed, cost_distribution, edge_flows, min_cut, potentials, counters}` for the +equivalence recorder and the oracle checks. ## Quick Start ```python import netgraph_core as ngc -import _netgraph_core q = 2.0**-12 # Two parallel paths from node 0 to node 3 (physical capacities 10 and 5). caps = ngc.to_units([10.0, 10.0, 5.0, 5.0], q) -graph = ngc.StrictMultiDiGraph(4, [0, 1, 0, 2], [1, 3, 2, 3], caps, [1, 1, 2, 2], q) +graph = ngc.Graph(4, [0, 1, 0, 2], [1, 3, 2, 3], caps, [1, 1, 2, 2], q) -payload = _netgraph_core._place_global_units( - graph, graph.capacity_units(), [0], [3], None, None +config = ngc.FlowPolicyConfig( + routing=ngc.Global(), + placement=ngc.FlowPlacement.MAX_FLOW, + admission=ngc.Admission.LOSSLESS, + selection=ngc.PathSelection(ngc.EdgeTieBreak.DETERMINISTIC, ngc.EdgePriority.CAPACITY), ) -print(ngc.as_float(payload["placed"], q)) # 15.0 -print(payload["cost_distribution"]) # [[2, 40960], [4, 20480]] +result = ngc.capacity(graph, 0, 3, ngc.CapacityOptions(config)) +print(ngc.as_float(result.placed, q)) # 15.0 +print(result.cost_distribution) # [(2, 40960), (4, 20480)] ``` ## Installation @@ -138,11 +187,16 @@ make cov # Combined coverage report (C++ + Python) Performance work (harnesses, old/new/old protocol, recorded measurements) is described in [dev/perf/README.md](dev/perf/README.md). +The editable development build (`make install`, `make dev`) carries the private test hooks +(CMake option `NETGRAPH_CORE_PRIVATE_HOOKS`; a wheel build does not); the test suites skip the +tests that need them when they are absent. + ## Environment Variables | Variable | Effect | | --- | --- | -| `NGRAPH_CORE_PROFILE=1` | Enable the C++ profiling scopes (`profiling.hpp`); the Python accessors return with `netgraph_core.diagnostics`. | +| `NGRAPH_CORE_BATCH_THREADS` | Default worker count of `batch_capacity` (an integer in [1, 4096]; 1 when unset or invalid; an explicit `workers` wins). | +| `NGRAPH_CORE_SENSITIVITY_THREADS` | Default worker count of `sensitivity` (as above). | ## Requirements diff --git a/bindings/python/module.cpp b/bindings/python/module.cpp index d61ce6a..e9faa8d 100644 --- a/bindings/python/module.cpp +++ b/bindings/python/module.cpp @@ -1,8 +1,11 @@ /* - Pybind11 module `_netgraph_core`: the graph on integer units, the flow core's private entry, - the ledger with its records, the route structures (PredDAG, Path), Eligibility with - intersect, the selection and placement enums, and the private entries of the 1b recorder - population (a Pinned placement with one bundle, the internal search, the apportionment). + Pybind11 module `_netgraph_core`: the graph on integer units with Eligibility and the unit + conversions, the route structures (PredDAG, Path), the selection and placement axes, the + ledger with its records, the policy engine with its configuration and results, the DagCache + and the evaluators (capacity, batch_capacity, sensitivity); and two private entries: the flow + core's _place_global_units (the recorder's entry, APPROACH 2.2) and the internal search _spf. + A build with the private hooks (CMake NETGRAPH_CORE_PRIVATE_HOOKS: the editable development + build) adds the test controls and the parity diagnostics. - Graph accessors return read-only NumPy views that keep the graph alive (no per-call copy). - Integer inputs (capacities, costs, ids, views, caps) must be integers: Python ints, NumPy @@ -10,11 +13,13 @@ truncated. Values are read without narrowing (WideInts) and validated in the contract's order before any conversion to the C++ types (APPROACH 3, revision 25). Physical values enter only through to_units; the resolution is validated before anything else. - - std::invalid_argument from Core maps to ValueError. + - std::invalid_argument from Core maps to ValueError; enumeration values outside their + enumeration are rejected at construction (rule 13). - _place_global_units is the recorder's private entry point (APPROACH 2.2): it returns the payload as a dict of Python ints and lists. - Amounts and counters cross as Python ints (exact, also beyond 64 bits); per-edge arrays as int64 NumPy arrays in EdgeId order; +inf is accepted only as a request (float('inf')). + - Python spells constants in UPPER_SNAKE_CASE: MAX_FLOWS_PER_CALL is the C++ kMaxFlowsPerCall. */ #include #include @@ -23,24 +28,39 @@ #include #include #include +#include #include #include #include #include +#include +#include #include -#include "netgraph/core/detail/kernels.hpp" -#include "netgraph/core/detail/ledger_access.hpp" -#include "netgraph/core/detail/pinned_flow.hpp" +#include "netgraph/core/dag_cache.hpp" +#include "netgraph/core/detail/endpoints.hpp" +#include "netgraph/core/detail/evaluator_checks.hpp" +#include "netgraph/core/detail/flow_core.hpp" #include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/detail/private_hooks.hpp" #include "netgraph/core/detail/search.hpp" -#include "netgraph/core/flow.hpp" -#include "netgraph/core/flow_graph.hpp" -#include "netgraph/core/max_flow.hpp" +#include "netgraph/core/eligibility.hpp" +#include "netgraph/core/evaluators.hpp" +#include "netgraph/core/flow_ledger.hpp" +#include "netgraph/core/flow_policy.hpp" +#include "netgraph/core/flow_record.hpp" +#include "netgraph/core/graph.hpp" #include "netgraph/core/options.hpp" #include "netgraph/core/pred_dag.hpp" -#include "netgraph/core/strict_multidigraph.hpp" #include "netgraph/core/types.hpp" +#if NETGRAPH_CORE_PRIVATE_HOOKS +#include + +#include "netgraph/core/detail/kernels.hpp" +#include "netgraph/core/detail/ledger_access.hpp" +#include "netgraph/core/detail/policy_engine.hpp" +#include "netgraph/core/detail/trace.hpp" +#endif namespace py = pybind11; using namespace netgraph::core; @@ -296,9 +316,9 @@ double amount_as_float(const py::handle& item, int k, double resolution) { return scaled_python_int(idx, k); } -std::shared_ptr make_graph(const py::object& num_nodes, const py::object& src, - const py::object& dst, const py::object& capacity_units, - const py::object& cost, double resolution) { +std::shared_ptr make_graph(const py::object& num_nodes, const py::object& src, + const py::object& dst, const py::object& capacity_units, + const py::object& cost, double resolution) { // APPROACH 3 (revision 25): the resolution, the unit values, the shapes, zero or negative // costs, the remaining bounds (ids in range, then the sums); every value is read without // narrowing, and the messages are the constructor's, which re-checks the same order. @@ -352,11 +372,11 @@ std::shared_ptr make_graph(const py::object& num_nodes, cons auto src_v = s.narrow(); auto dst_v = d.narrow(); py::gil_scoped_release release; - return std::make_shared(static_cast(n), src_v, dst_v, cap_v, cost_v, resolution); + return std::make_shared(static_cast(n), src_v, dst_v, cap_v, cost_v, resolution); } -// ---------------------------------------------------------------- 1b helpers +// ---------------------------------------------------------------- ledger, records, requests // The exact order of wide integers: a positive overflow above every int64, a negative one // below, and two overflows on the same side by their exact values (review-1b D2). @@ -370,7 +390,7 @@ bool wide_less(const WideInts& w, std::size_t i, std::size_t j) { // A per-edge integer array in [0, capacity_units[e]] (a ledger baseline, a search residual), // validated on the unnarrowed values: the length (shape step), then every entry. -std::vector edge_units(const py::object& obj, const StrictMultiDiGraph& g, const char* name) { +std::vector edge_units(const py::object& obj, const Graph& g, const char* name) { const auto num_edges = static_cast(g.num_edges()); const std::size_t len = sequence_length(obj, name); if (len != num_edges) { @@ -388,26 +408,27 @@ std::vector edge_units(const py::object& obj, const StrictMultiDiGraph& return v.narrow(); } -// A node set: one NodeId or a sequence of them, ids range-checked before narrowing. -std::vector node_ids(const py::object& obj, std::int32_t num_nodes, const char* name) { - WideInts ids; - if (!is_bool(obj) && PyIndex_Check(obj.ptr()) && !py::isinstance(obj)) { - py::list one; - one.append(obj); - ids = wide_integers(one, name); - } else { - ids = wide_integers(obj, name); - } - if (ids.size() == 0) throw py::value_error(std::string(name) + ": the node set is empty"); +// A node set's ids, non-empty and range-checked before narrowing (detail::node_set's messages). +std::vector checked_ids(const WideInts& ids, std::int32_t num_nodes, const char* name) { + if (ids.size() == 0) throw py::value_error(detail::empty_set_error(name)); for (std::size_t i = 0; i < ids.size(); ++i) { if (!ids.in(i, 0, static_cast(num_nodes) - 1)) { - throw py::value_error(std::string(name) + ": node " + ids.text(i) + " out of node range [0, " + - std::to_string(num_nodes) + ")"); + throw py::value_error(detail::node_range_error(name, ids.text(i), num_nodes)); } } return ids.narrow(); } +// A node set: one NodeId or a sequence of them. +std::vector node_ids(const py::object& obj, std::int32_t num_nodes, const char* name) { + if (!is_bool(obj) && PyIndex_Check(obj.ptr()) && !py::isinstance(obj)) { + py::list one; + one.append(obj); + return checked_ids(wide_integers(one, name), num_nodes, name); + } + return checked_ids(wide_integers(obj, name), num_nodes, name); +} + // A request: an integer number of units in [0, 2^62) or +inf (float('inf')); nullopt is +inf. std::optional request_units(const py::object& volume) { if (py::isinstance(volume) || py::isinstance(volume, py::module_::import("numpy").attr("floating"))) { @@ -434,17 +455,6 @@ py::array_t int64_array(const std::vector& v) { return out; } -const char* termination_name(detail::Termination t) { - switch (t) { - case detail::Termination::Complete: return "complete"; - case detail::Termination::LimitFlows: return "limit_flows"; - case detail::Termination::LimitDiminishing: return "limit_diminishing"; - case detail::Termination::NoRoute: return "no_route"; - case detail::Termination::Exhausted: return "exhausted"; - } - return "?"; -} - FlowId flow_id_of(const py::object& obj) { if (!py::isinstance(obj) || py::len(obj) != 2) { throw py::value_error("a FlowId is a tuple (ledger uid, id)"); @@ -477,10 +487,244 @@ py::list int_list(const std::vector& v) { return out; } + +// The Python form of CapacityOptions and SensitivityOptions: the Eligibility and the cache are +// held by reference count for the call (the C++ structs borrow raw pointers). +struct PyCapacityOptions { + FlowPolicyConfig config; + std::shared_ptr elig; + std::shared_ptr cache; + OutputOptions outputs; +}; +struct PySensitivityOptions { + FlowPolicyConfig config; + std::shared_ptr elig; + std::shared_ptr cache; + OutputOptions outputs; +}; + +// ---------------------------------------------------------------- policies and evaluators + +// An optional int field of [lo, hi] (None allowed when `optional`); bools and floats rejected. +std::optional int_field(const py::object& obj, std::int64_t lo, std::int64_t hi, const std::string& what, + bool optional) { + if (obj.is_none()) { + if (optional) return std::nullopt; + throw py::value_error(what + " must be an integer (got None)"); + } + return integer_value(obj, lo, hi, what); +} + +double float_field(const py::object& obj, const std::string& what) { + if (is_bool(obj) || !(py::isinstance(obj) || PyIndex_Check(obj.ptr()) || + py::isinstance(obj, py::module_::import("numpy").attr("floating")))) { + throw py::value_error(what + " must be a number (got " + std::string(py::str(py::type::of(obj).attr("__name__"))) + + ")"); + } + return obj.cast(); +} + +py::object remaining_obj(const std::optional& r) { + return r.has_value() ? py::object(py::int_(*r)) : py::object(py::float_(std::numeric_limits::infinity())); +} + +Routing routing_of(const py::object& obj) { + if (py::isinstance(obj)) return obj.cast(); + if (py::isinstance(obj)) return obj.cast(); + if (py::isinstance(obj)) return obj.cast(); + if (py::isinstance(obj)) return obj.cast(); + throw py::type_error("routing must be CostOnly, CapacityAware, Global or Pinned (got " + + std::string(py::str(py::type::of(obj).attr("__name__"))) + ")"); +} + +py::object routing_obj(const Routing& r) { + return std::visit([](const auto& x) { return py::cast(x); }, r); +} + +// workers: an explicit integer is passed through (validated by the evaluator); None takes the +// environment default (detail::default_workers), and 1 whenever a cache is supplied (the +// building cache's one writer; APPROACH 10, 11). +std::int32_t workers_of(const py::object& workers, bool sensitivity, bool cache_given) { + if (!workers.is_none()) { + return static_cast(integer_value(workers, std::numeric_limits::min(), + std::numeric_limits::max(), "workers")); + } + if (cache_given) return 1; + return detail::default_workers(sensitivity); +} + +OutputOptions outputs_of(const py::object& obj) { + if (obj.is_none()) return OutputOptions {}; + if (!py::isinstance(obj)) { + throw py::type_error("outputs must be an OutputOptions (got " + std::string(py::str(py::type::of(obj).attr("__name__"))) + + ")"); + } + return obj.cast(); +} + +template +Options options_of(const py::object& obj, const char* name) { + if (!py::isinstance(obj)) { + throw py::type_error(std::string(name) + " expected (got " + std::string(py::str(py::type::of(obj).attr("__name__"))) + + ")"); + } + return obj.cast(); +} + +// A new Python object of the bound class T owning a default-constructed T, made as pybind11's +// generic move-cast makes one (type_caster_generic::cast) but with the object allocation +// checked: pybind11's make_new_instance uses the result of tp_alloc unchecked, so a failed +// Python allocation there is a crash rather than a MemoryError. Every failure here raises, and +// the half-built object is released on unwinding (its value is deleted, nothing registered). +// The policy calls make their result object with this before anything is published. +template +std::pair new_object() { + const py::detail::type_info* tinfo = py::detail::get_type_info(typeid(T), /*throw_if_missing=*/true); + PyTypeObject* type = tinfo->type; + PyObject* raw = type->tp_alloc(type, 0); + if (raw == nullptr) throw py::error_already_set(); + auto obj = py::reinterpret_steal(raw); + auto* inst = reinterpret_cast(raw); + inst->allocate_layout(); + inst->owned = false; + auto* value = new T(); + py::detail::values_and_holders(inst).begin()->value_ptr() = value; + inst->owned = true; + tinfo->init_instance(inst, nullptr); + return {std::move(obj), value}; +} + +// The value moved into its result object after the commit: nothing may allocate there. +static_assert(std::is_nothrow_move_assignable_v); +static_assert(std::is_nothrow_move_assignable_v); +static_assert(std::is_nothrow_move_assignable_v); + +template +py::object object_of(T value) { + auto [obj, slot] = new_object(); + *slot = std::move(value); + return std::move(obj); +} + + +// ---------------------------------------------------------------- private hooks + +#if NETGRAPH_CORE_PRIVATE_HOOKS + +// A trace value as Python objects (map keys that are decimal integers become ints: the maps +// keyed by source NodeId). +py::object trace_obj(const detail::Trace& t) { + using K = detail::Trace::Kind; + switch (t.kind) { + case K::Null: return py::none(); + case K::Bool: return py::bool_(t.b); + case K::Int: return py::int_(t.i); + case K::Str: return py::str(t.s); + case K::List: { + py::list out; + for (const auto& x : t.items) out.append(trace_obj(x)); + return out; + } + case K::Map: { + py::dict out; + for (const auto& [k, x] : t.fields) { + const bool digits = !k.empty() && std::all_of(k.begin(), k.end(), [](char ch) { return ch >= '0' && ch <= '9'; }); + if (digits) { + out[py::int_(std::stoll(k))] = trace_obj(x); + } else { + out[py::str(k)] = trace_obj(x); + } + } + return out; + } + } + return py::none(); +} + +// The epoch state of a policy (roster, requested, +inf, per roster source the flows). +py::dict state_obj(const FlowPolicy& policy) { + const auto& pe = detail::PolicyAccess::engine(policy); + py::dict out; + const auto& r = pe.config.routing; + out["mode"] = std::holds_alternative(r) ? "CostOnly" + : std::holds_alternative(r) ? "CapacityAware" + : std::holds_alternative(r) ? "Global" + : "Pinned"; + out["roster"] = pe.roster; + out["requested"] = counter_int(pe.requested); + out["infinite"] = pe.infinite; + out["placed_demand"] = policy.placed_demand(); + py::dict cohorts; + for (std::size_t i = 0; i < pe.roster.size(); ++i) { + py::list flows; + for (const auto& s : pe.cohorts[i]) { + const FlowRecord& rec = detail::LedgerAccess::live(pe.fg, s.id); + py::dict f; + f["flow_id"] = py::make_tuple(rec.flow_id.first, rec.flow_id.second); + f["src"] = s.src; + if (s.plan) { + f["route"] = s.plan->route; + } else { + const auto edges = detail::PredDAGBuilder::ascending(*s.bundle); + f["route"] = std::vector(edges.begin(), edges.end()); + } + f["members"] = s.plan ? py::cast(s.plan->members) : py::object(py::none()); + f["weights"] = s.plan && s.plan->placement == FlowPlacement::Weighted ? py::cast(s.plan->weights) + : py::object(py::none()); + f["T"] = rec.delivered; + f["delivered"] = rec.delivered; + f["alloc"] = pairs_list(rec.edges); + f["bundle_index"] = s.bundle_index < 0 ? py::object(py::none()) : py::object(py::int_(s.bundle_index)); + flows.append(f); + } + cohorts[py::int_(pe.roster[i])] = flows; + } + out["cohorts"] = cohorts; + return out; +} + +// The allocation-failure hook: the k-th object-domain allocation fails (Python's allocator +// wrapped for one call, then restored). The allocator is process-wide while the call runs, so +// the hook serves one caller at a time (the tests); its counters are atomics because the module +// does not hold the GIL for every thread (mod_gil_not_used). +PyMemAllocatorEx g_saved_allocator {}; +std::atomic g_fail_countdown {-1}; +std::atomic g_fail_seen {0}; +std::atomic g_fail_hit {false}; + +bool fail_now() { + g_fail_seen.fetch_add(1); + if (g_fail_countdown.load() < 0) return false; + if (g_fail_countdown.fetch_sub(1) == 0) { + g_fail_hit.store(true); + return true; + } + return false; +} +void* failing_malloc(void*, std::size_t n) { return fail_now() ? nullptr : g_saved_allocator.malloc(g_saved_allocator.ctx, n); } +void* failing_calloc(void*, std::size_t n, std::size_t size) { + return fail_now() ? nullptr : g_saved_allocator.calloc(g_saved_allocator.ctx, n, size); +} +void* failing_realloc(void*, void* ptr, std::size_t n) { + return fail_now() ? nullptr : g_saved_allocator.realloc(g_saved_allocator.ctx, ptr, n); +} +void forwarding_free(void*, void* ptr) { g_saved_allocator.free(g_saved_allocator.ctx, ptr); } + +#endif + } // namespace PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { - m.doc() = "NetGraph-Core: the graph on integer units, the minimum-cost flow core, the ledger and the kernels"; + m.doc() = + "NetGraph-Core: the graph on integer units, the route structures, the integer ledger, the policy\n" + "engine FlowPolicy, the DagCache and the evaluators (capacity, batch_capacity, sensitivity).\n" + "Every public call is all-or-nothing up to its caller (APPROACH 13), with two limits: (1) the pybind11\n" + "object machinery is outside the guarantee: constructing a bound object from Python, or reading an\n" + "attribute or method value converted into a new bound object or container outside the staged calls,\n" + "allocates through pybind11's make_new_instance, which does not check the result of tp_alloc, so a\n" + "Python allocation failure at that point crashes the process, with Core state unchanged; (2) a supplied\n" + "building DagCache is a memo: it keeps the complete entries and statistics of the lookups that\n" + "succeeded before a later failure of the call."; py::enum_(m, "FlowPlacement", "The kernel of one flow: MAX_FLOW (the minimum-cost flow core on the flow's split graph,\n" @@ -514,7 +758,9 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { py::class_(m, "PathSelection", "The selection of a search: tie_break and priority are explicit; multipath = True keeps\n" "every equal-cost walk (the DAG), False the one canonical single path; multi_edge = True\n" - "keeps every eligible parallel member, False one per (u, v) pair.") + "keeps every eligible parallel member, False one per (u, v) pair. A tie_break or priority\n" + "outside its enumeration raises ValueError.") + // The constructor checks both enumerations (ValueError naming the field). .def(py::init(), py::arg("tie_break"), py::arg("priority"), py::arg("multipath") = true, py::arg("multi_edge") = true) .def_readonly("tie_break", &PathSelection::tie_break) @@ -581,7 +827,7 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { py::class_>( m, "Eligibility", "Immutable, graph-bound static eligibility: dense node and edge flags. Built by\n" - "StrictMultiDiGraph.eligibility(excluded_nodes, excluded_edges).") + "Graph.eligibility(excluded_nodes, excluded_edges).") .def("graph_uid", &Eligibility::graph_uid, "uid of the graph this value belongs to") .def("uid", &Eligibility::uid, "0 for the all-allowed value, a fresh uid otherwise") .def( @@ -612,8 +858,8 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { "an operand itself when the result equals it (a first, then b), otherwise a new value with a\n" "fresh uid; equal intersections built separately get distinct uids."); - py::class_>( - m, "StrictMultiDiGraph", + py::class_>( + m, "Graph", "Immutable directed multigraph on integer units. Edges are given in input order; the\n" "public EdgeId is the rank in the stable order (src, cost, dst, input), input_index()[e]\n" "is the input position of e, and every other per-edge array is in id order. Costs are\n" @@ -626,63 +872,63 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { "zero or negative costs (rule 28), the remaining bounds (endpoints in range, then the\n" "capacity and cost sums below 2^62). Integers are read without narrowing, so the error\n" "does not depend on how the input is represented (APPROACH 3).") - .def("uid", &StrictMultiDiGraph::uid, "process-unique id (never reused)") - .def("resolution", &StrictMultiDiGraph::resolution, "the resolution q (units of capacity)") - .def("num_nodes", &StrictMultiDiGraph::num_nodes) - .def("num_edges", &StrictMultiDiGraph::num_edges) - .def("max_cost", &StrictMultiDiGraph::max_cost, "largest edge cost (0 without edges)") - .def("cost_gcd", &StrictMultiDiGraph::cost_gcd, "gcd of the edge costs (0 without edges)") + .def("uid", &Graph::uid, "process-unique id (never reused)") + .def("resolution", &Graph::resolution, "the resolution q (units of capacity)") + .def("num_nodes", &Graph::num_nodes) + .def("num_edges", &Graph::num_edges) + .def("max_cost", &Graph::max_cost, "largest edge cost (0 without edges)") + .def("cost_gcd", &Graph::cost_gcd, "gcd of the edge costs (0 without edges)") .def( "capacity_units", [](const py::object& self) { - const auto& g = self.cast(); + const auto& g = self.cast(); return readonly_view(g.capacity_units(), self); }, "int64[E] capacities in units, id order (read-only view)") .def( "cost", [](const py::object& self) { - const auto& g = self.cast(); + const auto& g = self.cast(); return readonly_view(g.cost(), self); }, "int64[E] costs, id order (read-only view)") .def( "edge_src", [](const py::object& self) { - const auto& g = self.cast(); + const auto& g = self.cast(); return readonly_view(g.edge_src(), self); }, "int32[E] source node per edge (read-only view)") .def( "edge_dst", [](const py::object& self) { - const auto& g = self.cast(); + const auto& g = self.cast(); return readonly_view(g.edge_dst(), self); }, "int32[E] destination node per edge (read-only view)") .def( "input_index", [](const py::object& self) { - const auto& g = self.cast(); + const auto& g = self.cast(); return readonly_view(g.input_index(), self); }, "int32[E]: id -> input position (read-only view); the inverse is the caller's") .def( "row_offsets", [](const py::object& self) { - const auto& g = self.cast(); + const auto& g = self.cast(); return readonly_view(g.row_offsets(), self); }, "int32[N + 1]: the out-edges of u are the ids [row_offsets[u], row_offsets[u + 1])") .def( "in_row_offsets", [](const py::object& self) { - const auto& g = self.cast(); + const auto& g = self.cast(); return readonly_view(g.in_row_offsets(), self); }, "int32[N + 1] reverse CSR offsets") .def( "in_adj_edge_index", [](const py::object& self) { - const auto& g = self.cast(); + const auto& g = self.cast(); return readonly_view(g.in_adj_edge_index(), self); }, "int32[E]: the in-edges of v in (cost, src, input) order, as EdgeIds") .def( "eligibility", - [](const StrictMultiDiGraph& g, const py::object& excluded_nodes, const py::object& excluded_edges) { + [](const Graph& g, const py::object& excluded_nodes, const py::object& excluded_edges) { // Nodes, then edges, each range-checked before narrowing (the constructor's order). const auto xn = wide_integers(excluded_nodes, "excluded_nodes"); for (std::size_t i = 0; i < xn.size(); ++i) { @@ -707,10 +953,10 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { m.def( "_place_global_units", - [](const std::shared_ptr& graph, const py::object& view, const py::object& sources, + [](const std::shared_ptr& graph, const py::object& view, const py::object& sources, const py::object& destinations, const std::shared_ptr& elig, const py::object& cap) -> py::dict { - if (!graph) throw py::value_error("graph must be a StrictMultiDiGraph"); + if (!graph) throw py::value_error("graph must be a Graph"); // The core's order (view length, view entries, sources, destinations, overlap, cap, // Eligibility), every value checked before narrowing; the core re-checks the same order. const auto num_edges = static_cast(graph->num_edges()); @@ -727,30 +973,10 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { std::to_string(e) + "] = " + std::to_string(capacity[e]) + "]"); } } - const auto endpoints = [&](const py::object& obj, const char* name) { - const auto ids = wide_integers(obj, (std::string(name) + " node ids").c_str()); - if (ids.size() == 0) throw py::value_error(std::string(name) + ": the endpoint set is empty"); - for (std::size_t i = 0; i < ids.size(); ++i) { - if (!ids.in(i, 0, static_cast(graph->num_nodes()) - 1)) { - throw py::value_error(std::string(name) + ": node " + ids.text(i) + " out of node range [0, " + - std::to_string(graph->num_nodes()) + ")"); - } - } - return ids.narrow(); - }; - const auto s = endpoints(sources, "sources"); - const auto d = endpoints(destinations, "destinations"); - std::vector ss(s); - std::vector dd(d); - std::sort(ss.begin(), ss.end()); - std::sort(dd.begin(), dd.end()); - for (std::size_t i = 0, k = 0; i < ss.size() && k < dd.size();) { - if (ss[i] == dd[k]) { - throw py::value_error("node " + std::to_string(ss[i]) + - " is in both endpoint sets: sources and destinations must not overlap"); - } - if (ss[i] < dd[k]) ++i; else ++k; - } + const auto s = checked_ids(wide_integers(sources, "sources node ids"), graph->num_nodes(), "sources"); + const auto d = checked_ids(wide_integers(destinations, "destinations node ids"), graph->num_nodes(), "destinations"); + detail::check_disjoint(detail::node_set(s, graph->num_nodes(), "sources"), + detail::node_set(d, graph->num_nodes(), "destinations"), "sources", "destinations"); std::optional c; if (!cap.is_none()) { if (is_bool(cap) || !PyIndex_Check(cap.ptr())) { @@ -759,16 +985,16 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { py::object idx = python_int(cap, "cap"); int overflow = 0; const long long value = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); - if (overflow != 0 || value < 0 || value > kMaxFlowCap) { + if (overflow != 0 || value < 0 || value > detail::kMaxFlowCap) { throw py::value_error("cap " + std::string(py::str(idx)) + " is outside [0, 2^63 - 2]"); } c = static_cast(value); } - FlowCoreResult r; + detail::FlowCoreResult r; { py::gil_scoped_release release; const auto view_units = v.narrow(); - r = place_global_units(*graph, view_units, s, d, elig.get(), c); + r = detail::place_global_units(*graph, view_units, s, d, elig.get(), c); } py::dict out; out["placed"] = py::int_(r.placed); @@ -814,13 +1040,15 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { m, "PredDAG", "Immutable, graph-bound predecessor DAG: the entries of node v are parents()[k], via_edges()[k]\n" "for k in [parent_offsets()[v], parent_offsets()[v + 1]), within a node in strictly ascending\n" - "via EdgeId (one canonical form). Equality is structural. Built by PredDAG.from_csr,\n" - "Path.to_dag() and the searches.") + "via EdgeId (one canonical form). Equality is structural. parents() and via_edges() are\n" + "read-only views that keep the DAG alive; parent_offsets() is a fresh read-only array built on\n" + "demand (the DAG is stored over its member nodes). Built by PredDAG.from_csr, Path.to_dag()\n" + "and the searches.") .def_static( "from_csr", - [](const std::shared_ptr& graph, const py::object& offsets, const py::object& parents, + [](const std::shared_ptr& graph, const py::object& offsets, const py::object& parents, const py::object& via) { - if (!graph) throw py::value_error("graph must be a StrictMultiDiGraph"); + if (!graph) throw py::value_error("graph must be a Graph"); // APPROACH 5's order on unnarrowed values; the C++ constructor re-checks it and adds the // structural checks (endpoints, duplicates, acyclic, ascending). const auto n = static_cast(graph->num_nodes()); @@ -869,8 +1097,14 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { .def("graph_uid", &PredDAG::graph_uid, "uid of the graph this DAG belongs to") .def( "parent_offsets", - [](const py::object& self) { return readonly_view(self.cast().parent_offsets(), self); }, - "int32[N + 1] CSR offsets (read-only view)") + [](const PredDAG& d) { + const auto off = d.parent_offsets(); + py::array_t arr(static_cast(off.size())); + std::copy(off.begin(), off.end(), arr.mutable_data()); + py::detail::array_proxy(arr.ptr())->flags &= ~py::detail::npy_api::NPY_ARRAY_WRITEABLE_; + return arr; + }, + "int32[N + 1] CSR offsets, presented on demand from the sparse storage (a read-only array)") .def( "parents", [](const py::object& self) { return readonly_view(self.cast().parents(), self); }, "int32 parent NodeId per entry (read-only view)") @@ -894,8 +1128,8 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { m, "Path", "Immutable, graph-bound explicit walk of hops; a hop lists one or more parallel members of one\n" "(u, v) pair in the caller's order. cost = sum over hops of the minimum member cost.") - .def(py::init([](const std::shared_ptr& graph, const py::object& hops) { - if (!graph) throw py::value_error("graph must be a StrictMultiDiGraph"); + .def(py::init([](const std::shared_ptr& graph, const py::object& hops) { + if (!graph) throw py::value_error("graph must be a Graph"); if (not_a_sequence(hops)) throw py::value_error("Path: hops must be a sequence of hops (sequences of EdgeIds)"); auto seq = py::reinterpret_borrow(hops); std::vector raw; @@ -926,7 +1160,6 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { .def("hops", [](const Path& p) { return p.hops(); }, "the hops as lists of EdgeIds (the caller's member order)") .def("src", &Path::src) .def("dst", &Path::dst) - .def("nodes", [](const Path& p) { return p.nodes(); }, "the visited nodes, src first") .def("cost", &Path::cost, "sum over hops of the minimum member cost") .def( "to_dag", [](const Path& p) { return std::make_shared(p.to_dag()); }, @@ -977,43 +1210,43 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { "), owner=" + std::to_string(r.owner) + ", delivered=" + std::to_string(r.delivered) + ")"; }); - py::class_>( - m, "FlowGraph", + auto ledger_class = py::class_>( + m, "FlowLedger", "The integer ledger of one graph: an immutable baseline residual in units and the records of\n" "the flows placed on it by policies (the ledger has no public placement or removal).\n" "allocated() is the sum of every record's edges and residual() = baseline - allocated(), both\n" "int64[E] snapshots. reset() and copy() are rejected while a policy is bound.") - .def(py::init([](const std::shared_ptr& graph, const py::object& residual) { - if (!graph) throw py::value_error("graph must be a StrictMultiDiGraph"); - if (residual.is_none()) return std::make_shared(graph); + .def(py::init([](const std::shared_ptr& graph, const py::object& residual) { + if (!graph) throw py::value_error("graph must be a Graph"); + if (residual.is_none()) return std::make_shared(graph); const auto r = edge_units(residual, *graph, "residual"); - return std::make_shared(graph, r); + return std::make_shared(graph, r); }), py::arg("graph"), py::arg("residual") = py::none(), "residual: the baseline as integer units, one entry per edge in [0, capacity_units[e]] (a\n" "physical baseline goes through to_units first); None: the capacities. ValueError otherwise.") - .def("uid", &FlowGraph::uid, "process-unique ledger uid (the first half of every FlowId)") + .def("uid", &FlowLedger::uid, "process-unique ledger uid (the first half of every FlowId)") .def( - "graph", [](const FlowGraph& fg) { return std::const_pointer_cast(fg.graph()); }, + "graph", [](const FlowLedger& fg) { return std::const_pointer_cast(fg.graph()); }, "the ledger's graph") .def( "capacity_units", - [](const py::object& self) { return readonly_view(self.cast().capacity_units(), self); }, + [](const py::object& self) { return readonly_view(self.cast().capacity_units(), self); }, "int64[E] the graph's capacities in units (read-only view)") .def( - "residual", [](const FlowGraph& fg) { return int64_array(fg.residual()); }, + "residual", [](const FlowLedger& fg) { return int64_array(fg.residual()); }, "int64[E] snapshot: baseline - allocated") .def( - "allocated", [](const FlowGraph& fg) { return int64_array(fg.allocated()); }, + "allocated", [](const FlowLedger& fg) { return int64_array(fg.allocated()); }, "int64[E] snapshot: the sum of every record's edges") - .def("records", &FlowGraph::records, "live records (bound and orphaned) as snapshots in FlowId order") + .def("records", &FlowLedger::records, "live records (bound and orphaned) as snapshots in FlowId order") .def( - "record", [](const FlowGraph& fg, const py::object& flow_id) { return fg.record(flow_id_of(flow_id)); }, + "record", [](const FlowLedger& fg, const py::object& flow_id) { return fg.record(flow_id_of(flow_id)); }, py::arg("flow_id"), "one record by FlowId (ValueError for a FlowId of another ledger, a retired or an unknown id)") .def( "bottleneck", - [](const FlowGraph& fg, const py::object& sources, const std::shared_ptr& elig) { + [](const FlowLedger& fg, const py::object& sources, const std::shared_ptr& elig) { const auto s = node_ids(sources, fg.graph()->num_nodes(), "sources"); return fg.bottleneck(s, elig.get()); }, @@ -1023,7 +1256,7 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { "ascending EdgeId (not a cut).") .def( "reset", - [](FlowGraph& fg, const py::object& residual) { + [](FlowLedger& fg, const py::object& residual) { if (residual.is_none()) { fg.reset(); return; @@ -1035,95 +1268,510 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { "A new baseline (None: the capacities); orphaned records and their allocations are cleared\n" "and their ids retired (ids are never reused). ValueError while a policy is bound.") .def( - "copy", [](const FlowGraph& fg) { return std::make_shared(fg); }, + "copy", [](const FlowLedger& fg) { return std::make_shared(fg); }, "a new ledger (new uid) with the same baseline and records, ids kept under the new uid;\n" "ValueError while a policy is bound") - .def("__copy__", [](const FlowGraph& fg) { return std::make_shared(fg); }) - .def("__deepcopy__", [](const FlowGraph& fg, const py::object&) { return std::make_shared(fg); }, - py::arg("memo")) + .def("__copy__", [](const FlowLedger& fg) { return std::make_shared(fg); }) + .def("__deepcopy__", [](const FlowLedger& fg, const py::object&) { return std::make_shared(fg); }, + py::arg("memo")); +#if NETGRAPH_CORE_PRIVATE_HOOKS + ledger_class .def( "_state", - [](const FlowGraph& fg) { + [](const FlowLedger& fg) { py::dict out; out["next_flow_id"] = detail::LedgerAccess::next_flow_id(fg); out["bound"] = detail::LedgerAccess::bound_owners(fg); out["orphans"] = detail::LedgerAccess::orphan_owners(fg); return out; }, - "private diagnostics: {next_flow_id, bound, orphans} (owner ids)"); - - // ------------------------------------------------------------------ private 1b recorder entries - - py::class_( - m, "_PinnedFlow", - "Private (sub-PR 1b): a Pinned placement with one bundle, the single-flow transaction of the\n" - "1b recorder population (APPROACH 8: a manual flow is a Pinned policy with one bundle). Sub-PR\n" - "1c's FlowPolicy with Pinned routing replaces it.") - .def(py::init([](FlowGraph& fg, const py::object& src, const py::object& dst, const std::shared_ptr& bundle, - FlowPlacement placement, Admission admission, EdgePriority priority, - const std::shared_ptr& elig) { - const auto n = fg.graph()->num_nodes(); - const auto s = integer_value(src, 0, static_cast(n) - 1, "src"); - const auto d = integer_value(dst, 0, static_cast(n) - 1, "dst"); - if (!bundle) throw py::value_error("bundle must be a PredDAG"); - return std::make_unique(fg, static_cast(s), static_cast(d), bundle, - placement, admission, priority, elig); + "private: {next_flow_id, bound, orphans} (owner ids)"); +#else + (void)ledger_class; +#endif + + // ------------------------------------------------------------------ the policy engine + + py::class_(m, "Absolute", "CostCeiling: an absolute, inclusive path-cost budget (cost >= 0).") + .def(py::init([](const py::object& cost) { + return Absolute {*int_field(cost, std::numeric_limits::min(), std::numeric_limits::max(), + "Absolute cost", false)}; }), - py::keep_alive<1, 2>(), py::arg("flow_graph"), py::arg("src"), py::arg("dst"), py::arg("bundle"), - py::arg("placement"), py::arg("admission"), py::arg("priority"), py::arg("elig") = nullptr) + py::arg("cost")) + .def_readonly("cost", &Absolute::cost) + .def("__eq__", [](const Absolute& a, const py::object& b) { return py::isinstance(b) && a == b.cast(); }) + .def("__hash__", [](const Absolute& a) { return py::hash(py::make_tuple("Absolute", a.cost)); }) + .def("__repr__", [](const Absolute& a) { return "Absolute(" + std::to_string(a.cost) + ")"; }); + + py::class_(m, "Stretch", + "CostCeiling: a factor in [1, inf) of the static shortest cost under the policy's\n" + "Eligibility, read as the exact dyadic rational it is (compared without rounding).") + .def(py::init([](const py::object& factor) { return Stretch {float_field(factor, "Stretch factor")}; }), + py::arg("factor")) + .def_readonly("factor", &Stretch::factor) + .def("__eq__", [](const Stretch& a, const py::object& b) { return py::isinstance(b) && a == b.cast(); }) + .def("__hash__", [](const Stretch& a) { return py::hash(py::make_tuple("Stretch", a.factor)); }) + .def("__repr__", [](const Stretch& a) { return "Stretch(" + std::string(py::str(py::float_(a.factor))) + ")"; }); + + py::class_(m, "DiminishingReturns", + "The diminishing-returns guard of CapacityAware growth: stop once at least `window`\n" + "growth steps were accepted in the call and the last `window` gains sum below\n" + "`fraction` times the source's (finite) offer. window >= 1, fraction in (0, 1).") + .def(py::init([](const py::object& window, const py::object& fraction) { + DiminishingReturns d; + d.window = static_cast(*int_field(window, std::numeric_limits::min(), + std::numeric_limits::max(), + "diminishing window", false)); + d.fraction = float_field(fraction, "diminishing fraction"); + return d; + }), + py::arg("window"), py::arg("fraction")) + .def_readonly("window", &DiminishingReturns::window) + .def_readonly("fraction", &DiminishingReturns::fraction) + .def("__repr__", [](const DiminishingReturns& d) { + return "DiminishingReturns(window=" + std::to_string(d.window) + ", fraction=" + std::string(py::str(py::float_(d.fraction))) + ")"; + }); + + py::class_(m, "CostOnly", + "Routing: IGP forwarding. One flow per roster source on the static shortest-path DAG\n" + "(the DagCache value; selection projected at creation), never refreshed, grown or\n" + "reoptimised.") + .def(py::init<>()) + .def("__repr__", [](const CostOnly&) { return std::string("CostOnly()"); }); + + py::class_( + m, "CapacityAware", + "Routing: distributed CSPF tunnels. flow_count flows created by the canonical search on the\n" + "selection view (residual >= max(1, min_flow_bandwidth) units, the max_path_cost ceiling),\n" + "grown up to max_flow_count (None: no ceiling), optionally reoptimised (reroute with retention\n" + "fallback) and guarded by `diminishing` (None: off).") + .def(py::init([](const py::object& flow_count, const py::object& max_flow_count, const py::object& max_path_cost, + const py::object& min_flow_bandwidth, bool reoptimize, const py::object& diminishing) { + CapacityAware ca; + constexpr auto lo32 = std::numeric_limits::min(); + constexpr auto hi32 = std::numeric_limits::max(); + ca.flow_count = static_cast(*int_field(flow_count, lo32, hi32, "flow_count", false)); + if (auto mx = int_field(max_flow_count, lo32, hi32, "max_flow_count", true)) { + ca.max_flow_count = static_cast(*mx); + } + if (!max_path_cost.is_none()) { + if (py::isinstance(max_path_cost)) { + ca.max_path_cost = max_path_cost.cast(); + } else if (py::isinstance(max_path_cost)) { + ca.max_path_cost = max_path_cost.cast(); + } else { + throw py::type_error("max_path_cost must be Absolute, Stretch or None"); + } + } + ca.min_flow_bandwidth = *int_field(min_flow_bandwidth, std::numeric_limits::min(), + std::numeric_limits::max(), "min_flow_bandwidth (units)", false); + ca.reoptimize = reoptimize; + if (!diminishing.is_none()) { + if (!py::isinstance(diminishing)) throw py::type_error("diminishing must be DiminishingReturns or None"); + ca.diminishing = diminishing.cast(); + } + return ca; + }), + py::kw_only(), py::arg("flow_count") = 1, py::arg("max_flow_count") = py::none(), + py::arg("max_path_cost") = py::none(), py::arg("min_flow_bandwidth") = 0, py::arg("reoptimize") = false, + py::arg("diminishing") = py::none()) + .def_readonly("flow_count", &CapacityAware::flow_count) + .def_readonly("max_flow_count", &CapacityAware::max_flow_count) + .def_property_readonly("max_path_cost", + [](const CapacityAware& ca) -> py::object { + if (!ca.max_path_cost.has_value()) return py::none(); + return std::visit([](const auto& x) { return py::cast(x); }, *ca.max_path_cost); + }) + .def_readonly("min_flow_bandwidth", &CapacityAware::min_flow_bandwidth) + .def_readonly("reoptimize", &CapacityAware::reoptimize) + .def_readonly("diminishing", &CapacityAware::diminishing) + .def("__repr__", [](const CapacityAware& ca) { + return "CapacityAware(flow_count=" + std::to_string(ca.flow_count) + ", max_flow_count=" + + (ca.max_flow_count ? std::to_string(*ca.max_flow_count) : std::string("None")) + ")"; + }); + + py::class_(m, "Global", + "Routing: the omniscient controller. Every call re-solves the minimum-cost flow of the\n" + "cumulative value over the whole eligible graph (placement MaxFlow only).") + .def(py::init<>()) + .def("__repr__", [](const Global&) { return std::string("Global()"); }); + + py::class_(m, "Pinned", + "Routing: explicit route structures, one flow per usable bundle in supply order (single\n" + "endpoints; a Path converts with to_dag()). The list is copied at construction.") + .def(py::init([](const py::object& bundles) { + if (not_a_sequence(bundles)) throw py::type_error("Pinned bundles must be a sequence of PredDAG"); + Pinned p; + for (const auto& b : py::reinterpret_borrow(bundles)) { + if (!py::isinstance(b)) { + throw py::type_error("Pinned bundles must be PredDAG values (a Path converts with to_dag())"); + } + p.bundles.push_back(b.cast>()); + } + return p; + }), + py::arg("bundles")) + .def_property_readonly("bundles", + [](const Pinned& p) { + py::list out; + for (const auto& b : p.bundles) out.append(std::const_pointer_cast(b)); + return out; + }) + .def("__repr__", [](const Pinned& p) { return "Pinned(bundles=" + std::to_string(p.bundles.size()) + ")"; }); + + py::class_( + m, "FlowPolicyConfig", + "The four explicit axes of a policy: routing (CostOnly, CapacityAware, Global or Pinned), placement\n" + "(FlowPlacement), admission (Admission) and selection (PathSelection). A placement or admission\n" + "outside its enumeration raises ValueError.") + .def(py::init([](const py::object& routing, FlowPlacement placement, Admission admission, + const PathSelection& selection) { + // The routing's structure first (TypeError), then the constructor's enumeration checks. + auto r = routing_of(routing); + return FlowPolicyConfig {std::move(r), placement, admission, selection}; + }), + py::kw_only(), py::arg("routing"), py::arg("placement"), py::arg("admission"), py::arg("selection")) + .def_property_readonly("routing", [](const FlowPolicyConfig& c) { return routing_obj(c.routing); }) + .def_readonly("placement", &FlowPolicyConfig::placement) + .def_readonly("admission", &FlowPolicyConfig::admission) + .def_readonly("selection", &FlowPolicyConfig::selection) + .def("__repr__", [](const FlowPolicyConfig& c) { + return "FlowPolicyConfig(routing=" + std::string(py::repr(routing_obj(c.routing))) + ")"; + }); + + py::class_(m, "OutputOptions", + "Optional outputs of a placement (all false by default; absent outputs are None):\n" + "edge_flows (the policy's own allocation per edge after the call), residual and\n" + "bottleneck (the ledger's after the call); on Global, bottleneck adds min_cut.") + .def(py::init(), py::kw_only(), py::arg("edge_flows") = false, py::arg("residual") = false, + py::arg("bottleneck") = false) + .def_readonly("edge_flows", &OutputOptions::edge_flows) + .def_readonly("residual", &OutputOptions::residual) + .def_readonly("bottleneck", &OutputOptions::bottleneck); + + py::enum_(m, "Termination", + "The local outcome of a source and a call's termination (APPROACH 9.4): COMPLETE (the\n" + "offer is served), LIMIT_FLOWS, LIMIT_DIMINISHING, NO_ROUTE, EXHAUSTED.") + .value("COMPLETE", Termination::Complete) + .value("LIMIT_FLOWS", Termination::LimitFlows) + .value("LIMIT_DIMINISHING", Termination::LimitDiminishing) + .value("NO_ROUTE", Termination::NoRoute) + .value("EXHAUSTED", Termination::Exhausted); + + py::class_( + m, "PlacementResult", + "One placement call: placed (units), remaining (request - placed; float('inf') for +inf),\n" + "termination, local_outcomes [(source, Termination)] per roster source, routes_changed,\n" + "weights_changed, drops [(EdgeId, units)] of this call; cost_distribution [(cost, units)] on\n" + "Global (the marginal curve of the policy's cumulative flow; a zero call reports it unchanged), else\n" + "None; the optional outputs\n" + "edge_flows, residual (int64[E]), bottleneck, min_cut (Global with bottleneck; None when the\n" + "solve was not maximal), None unless requested.") + .def_readonly("placed", &PlacementResult::placed) + .def_property_readonly("remaining", [](const PlacementResult& r) { return remaining_obj(r.remaining); }) + .def_readonly("termination", &PlacementResult::termination) + .def_readonly("local_outcomes", &PlacementResult::local_outcomes) + .def_readonly("routes_changed", &PlacementResult::routes_changed) + .def_readonly("weights_changed", &PlacementResult::weights_changed) + .def_property_readonly("drops", [](const PlacementResult& r) { return pairs_list(r.drops); }) + .def_readonly("cost_distribution", &PlacementResult::cost_distribution) + .def_property_readonly("edge_flows", + [](const PlacementResult& r) -> py::object { + return r.edge_flows ? py::object(int64_array(*r.edge_flows)) : py::object(py::none()); + }) + .def_property_readonly("residual", + [](const PlacementResult& r) -> py::object { + return r.residual ? py::object(int64_array(*r.residual)) : py::object(py::none()); + }) + .def_readonly("bottleneck", &PlacementResult::bottleneck) + .def_readonly("min_cut", &PlacementResult::min_cut) + .def("__repr__", [](const PlacementResult& r) { + return "PlacementResult(placed=" + std::to_string(r.placed) + ", termination=" + + std::string(py::str(py::cast(r.termination).attr("name"))) + ")"; + }); + + py::class_(m, "DagCacheStats", + "DagCache statistics (atomic per field, not a consistent snapshot): hits, misses,\n" + "entries, bytes (the entries' retained payload), live_values (values alive anywhere).") + .def_readonly("hits", &DagCache::Stats::hits) + .def_readonly("misses", &DagCache::Stats::misses) + .def_readonly("entries", &DagCache::Stats::entries) + .def_readonly("bytes", &DagCache::Stats::bytes) + .def_readonly("live_values", &DagCache::Stats::live_values); + + py::class_>( + m, "DagCache", + "A cache of static shortest-path supports bound to one graph, keyed (roots as a set, direction,\n" + "Eligibility uid); building mode (one writer, no concurrent readers). CostOnly policies and the\n" + "evaluators read it; selection is projected at creation, never cached. clear() empties it (the\n" + "hit and miss counters persist); held values stay valid. A supplied building cache is a memo\n" + "(APPROACH 13, limit 2): a public call that fails keeps the complete entries and statistics of the\n" + "lookups that succeeded before; never a partial entry, and a retained entry never changes a result.") + .def(py::init([](const std::shared_ptr& graph) { + if (!graph) throw py::value_error("graph must be a Graph"); + return std::make_shared(*graph); + }), + py::arg("graph")) + .def("graph_uid", &DagCache::graph_uid, "uid of the graph this cache is bound to") + .def("clear", &DagCache::clear) + .def("stats", &DagCache::stats); + + auto flow_policy = py::class_( + m, "FlowPolicy", + "The one placement engine (APPROACH 9), bound to its ledger at construction: place(volume,\n" + "outputs) runs the transaction and commits one atomic exchange (a failed call raises with the ledger\n" + "and the policy as they were, its Python result included; limits in APPROACH 13: pybind11's\n" + "unchecked tp_alloc in object construction and conversions outside the staged calls, and a supplied\n" + "building DagCache, a memo that keeps its successful lookups); remove() reverts every flow and\n" + "opens a new epoch; dropping the policy without remove() leaves its records as orphans.\n" + "sources and destinations are one NodeId or a sequence (disjoint sets). ValueError for invalid\n" + "endpoints, configurations, foreign objects and requests; TypeError for wrong argument types.") + .def(py::init([](const std::shared_ptr& ledger, const py::object& sources, + const py::object& destinations, const FlowPolicyConfig& config, + const std::shared_ptr& elig, const std::shared_ptr& cache) { + if (!ledger) throw py::value_error("ledger must be a FlowLedger"); + const auto n = ledger->graph()->num_nodes(); + const auto s = node_ids(sources, n, "sources"); + const auto d = node_ids(destinations, n, "destinations"); + return std::make_unique(*ledger, s, d, config, elig.get(), cache.get()); + }), + py::keep_alive<1, 2>(), py::keep_alive<1, 6>(), py::keep_alive<1, 7>(), py::arg("ledger"), + py::arg("sources"), py::arg("destinations"), py::arg("config"), py::arg("elig") = nullptr, + py::arg("cache") = nullptr) .def( "place", - [](detail::PinnedFlow& pf, const py::object& volume) { + [](FlowPolicy& p, const py::object& volume, const py::object& outputs) { const auto v = request_units(volume); - // The GIL stays held: the call mutates the ledger, which other Python threads may - // read (one writer per ledger, APPROACH 13). - const detail::PinnedResult r = pf.place(v); - py::dict out; - out["placed"] = py::int_(r.placed); - out["remaining"] = r.remaining.has_value() ? py::object(py::int_(*r.remaining)) - : py::object(py::float_(std::numeric_limits::infinity())); - out["termination"] = termination_name(r.termination); - out["routes_changed"] = r.routes_changed; - out["weights_changed"] = r.weights_changed; - out["drops"] = pairs_list(r.drops); - out["iterations"] = r.iterations; - return out; + const auto o = outputs_of(outputs); + // All or nothing across the boundary: the result's Python object exists before the + // call, and after the commit nothing allocates (the value moves into it). The GIL + // stays held: the call mutates the ledger (one writer per ledger). + auto [obj, slot] = new_object(); + *slot = p.place(v, o); + return std::move(obj); }, - py::arg("volume"), - "place(volume: int units or float('inf')) -> {placed, remaining, termination, routes_changed,\n" - "weights_changed, drops, iterations (diagnostic: bisection steps of the T_max search)}") - .def("remove", &detail::PinnedFlow::remove) - .def("release", &detail::PinnedFlow::release, "destroy without remove(): the record stays as an orphan") - .def("flow_id", - [](const detail::PinnedFlow& pf) -> py::object { - const auto id = pf.flow_id(); - return id.has_value() ? py::object(py::make_tuple(id->first, id->second)) : py::object(py::none()); - }) - .def("owner", &detail::PinnedFlow::owner) - .def("requested", [](const detail::PinnedFlow& pf) { return counter_int(pf.requested()); }, - "the epoch's cumulative finite request (units)") - .def("infinite", &detail::PinnedFlow::infinite, "whether +inf was requested in this epoch") - .def("placed_demand", &detail::PinnedFlow::placed_demand) - .def("usable_bundles", &detail::PinnedFlow::usable_bundles) - .def("plan", [](const detail::PinnedFlow& pf) -> py::object { - const auto* plan = pf.plan(); - if (plan == nullptr) return py::none(); - py::dict out; - out["placement"] = plan->placement; - out["admission"] = plan->admission; - out["route"] = plan->route; - out["members"] = plan->members; - out["weights"] = plan->placement == FlowPlacement::Weighted ? py::object(py::cast(plan->weights)) - : py::object(py::none()); - return out; + py::arg("volume"), py::arg("outputs") = py::none(), + "place(volume: int units or float('inf'), outputs: OutputOptions | None) -> PlacementResult") + .def("remove", &FlowPolicy::remove, "revert every flow of the policy, retire the ids, open a new epoch") + .def("placed_demand", &FlowPolicy::placed_demand, "the sum of delivered over the policy's live records") + .def("records", &FlowPolicy::records, "the policy's live records as snapshots in FlowId order") + .def( + "record", [](const FlowPolicy& p, const py::object& flow_id) { return p.record(flow_id_of(flow_id)); }, + py::arg("flow_id"), + "one of the policy's live records by FlowId (ValueError for a FlowId of another ledger or policy, a\n" + "retired or an unknown id)") + .def("usable_bundles", &FlowPolicy::usable_bundles, + "Pinned: the bundles with a src -> dst walk after static pruning (0 for the other modes)") + .def_property_readonly("config", &FlowPolicy::config); +#if NETGRAPH_CORE_PRIVATE_HOOKS + flow_policy + .def( + "_place_traced", + [](FlowPolicy& p, const py::object& volume, const py::object& outputs) { + const auto v = request_units(volume); + const auto o = outputs_of(outputs); + // As place(): every Python object exists before anything is published; the trace is + // converted at the engine's staged point, after the call is complete and before the + // commit, so a failed conversion changes nothing. + auto [obj, slot] = new_object(); + py::tuple pair(2); + py::object trace_py; + detail::Trace trace; + const std::function staged = [&] { trace_py = trace_obj(trace); }; + *slot = detail::place_traced(p, v, o, trace, &staged); + PyTuple_SET_ITEM(pair.ptr(), 0, obj.release().ptr()); + PyTuple_SET_ITEM(pair.ptr(), 1, trace_py.release().ptr()); + return pair; + }, + py::arg("volume"), py::arg("outputs") = py::none(), + "private: place() with the transaction's trace (prototype 2's keys)") + .def("_state", &state_obj, "private: the epoch state (roster, requested, +inf, cohorts)") + .def( + "_owner", [](const FlowPolicy& p) { return detail::PolicyAccess::engine(p).owner; }, + "private: the ledger-local owner id (FlowRecord.owner)"); +#else + (void)flow_policy; +#endif + + + py::class_(m, "CapacityOptions", + "The configuration, the static Eligibility (None: all allowed), the DagCache (None:\n" + "private per worker) and the optional outputs of capacity() and batch_capacity().") + .def(py::init([](const FlowPolicyConfig& config, const std::shared_ptr& elig, + const std::shared_ptr& cache, const py::object& outputs) { + return PyCapacityOptions {config, elig, cache, outputs_of(outputs)}; + }), + py::arg("config"), py::kw_only(), py::arg("elig") = nullptr, py::arg("cache") = nullptr, + py::arg("outputs") = py::none()) + .def_readonly("config", &PyCapacityOptions::config) + .def_readonly("elig", &PyCapacityOptions::elig) + .def_readonly("cache", &PyCapacityOptions::cache) + .def_readonly("outputs", &PyCapacityOptions::outputs); + + py::class_(m, "SensitivityOptions", + "The configuration, Eligibility, DagCache and baseline outputs of sensitivity().") + .def(py::init([](const FlowPolicyConfig& config, const std::shared_ptr& elig, + const std::shared_ptr& cache, const py::object& outputs) { + return PySensitivityOptions {config, elig, cache, outputs_of(outputs)}; + }), + py::arg("config"), py::kw_only(), py::arg("elig") = nullptr, py::arg("cache") = nullptr, + py::arg("outputs") = py::none()) + .def_readonly("config", &PySensitivityOptions::config) + .def_readonly("elig", &PySensitivityOptions::elig) + .def_readonly("cache", &PySensitivityOptions::cache) + .def_readonly("outputs", &PySensitivityOptions::outputs); + + py::enum_(m, "SensitivityStatus", + "EVALUATED (the loss is the baseline minus the capacity without the edge) or\n" + "UNEVALUABLE (the deletion raised a model exception: loss None, reason the message).") + .value("EVALUATED", SensitivityStatus::Evaluated) + .value("UNEVALUABLE", SensitivityStatus::Unevaluable); + + py::class_(m, "SensitivityEntry", "One candidate edge: edge, loss (int units or None), status, reason.") + .def_readonly("edge", &SensitivityEntry::edge) + .def_readonly("loss", &SensitivityEntry::loss) + .def_readonly("status", &SensitivityEntry::status) + .def_property_readonly("reason", [](const SensitivityEntry& e) -> py::object { + return e.status == SensitivityStatus::Unevaluable ? py::object(py::str(e.reason)) : py::object(py::none()); }); + py::class_(m, "SensitivityResult", + "baseline (the PlacementResult of capacity()) and entries (ascending EdgeId; an\n" + "absent edge has loss 0).") + .def_readonly("baseline", &SensitivityResult::baseline) + .def_readonly("entries", &SensitivityResult::entries); + + m.attr("MAX_FLOWS_PER_CALL") = py::int_(kMaxFlowsPerCall); + + m.def( + "capacity", + [](const std::shared_ptr& graph, const py::object& sources, const py::object& destinations, + const py::object& opts) { + if (!graph) throw py::value_error("graph must be a Graph"); + const auto o = options_of(opts, "CapacityOptions"); + const auto s = node_ids(sources, graph->num_nodes(), "sources"); + const auto d = node_ids(destinations, graph->num_nodes(), "destinations"); + const CapacityOptions c {o.config, o.elig.get(), o.cache.get(), o.outputs}; + PlacementResult r; + { + py::gil_scoped_release release; + r = capacity(*graph, s, d, c); + } + return object_of(std::move(r)); + }, + py::arg("graph"), py::arg("sources"), py::arg("destinations"), py::arg("opts"), + "place(+inf) of a FlowPolicy with opts.config on a fresh ledger of the graph -> PlacementResult.\n" + "The exact maximum flow is the Global + MaxFlow configuration.\n" + "A failed call raises; a supplied building cache keeps the entries and statistics of the lookups\n" + "that succeeded before the failure (a memo: APPROACH 13, limit 2)."); + + m.def( + "batch_capacity", + [](const std::shared_ptr& graph, const py::object& pairs, const py::object& opts, + const py::object& per_pair_elig, const py::object& workers) { + if (!graph) throw py::value_error("graph must be a Graph"); + // The arguments first, then each pair completely and in pair order (the same two parts + // as the C++ validation), so the lowest failing pair index is reported. + const auto o = options_of(opts, "CapacityOptions"); + const auto w = workers_of(workers, false, static_cast(o.cache)); + const CapacityOptions c {o.config, o.elig.get(), o.cache.get(), o.outputs}; + detail::check_batch_arguments(*graph, c, w); + if (not_a_sequence(pairs)) throw py::value_error("pairs must be a sequence of (sources, destinations)"); + const auto items = py::reinterpret_borrow(pairs); + const auto num_pairs = py::len(items); + std::optional eligs; + if (!per_pair_elig.is_none()) { + // An explicit sequence has one entry per pair (None entries allowed), also when empty. + if (not_a_sequence(per_pair_elig)) throw py::value_error("per_pair_elig must be a sequence of Eligibility or None"); + eligs = py::reinterpret_borrow(per_pair_elig); + if (py::len(*eligs) != num_pairs) { + throw py::value_error("per_pair_elig has " + std::to_string(py::len(*eligs)) + " entries for " + + std::to_string(num_pairs) + " pairs"); + } + } + std::vector, std::vector>> ps; + std::vector> keep; + std::vector per; + const auto n = graph->num_nodes(); + for (std::size_t i = 0; i < num_pairs; ++i) { + const py::object item = items[i]; + if (not_a_sequence(item) || py::len(item) != 2) { + throw py::value_error("each pair must be (sources, destinations)"); + } + auto t = py::reinterpret_borrow(item); + auto src = node_ids(t[0], n, "sources"); + auto dst = node_ids(t[1], n, "destinations"); + const Eligibility* e = nullptr; + if (eligs) { + const py::object entry = (*eligs)[i]; + if (!entry.is_none()) { + if (!py::isinstance(entry)) throw py::type_error("per_pair_elig entries must be Eligibility or None"); + keep.push_back(entry.cast>()); + e = keep.back().get(); + } + per.push_back(e); + } + detail::check_batch_pair(*graph, src, dst, e, i); + ps.emplace_back(std::move(src), std::move(dst)); + } + std::vector rs; + { + py::gil_scoped_release release; + rs = batch_capacity(*graph, ps, c, per, w); + } + py::list out(rs.size()); + for (std::size_t i = 0; i < rs.size(); ++i) { + PyList_SET_ITEM(out.ptr(), static_cast(i), object_of(std::move(rs[i])).release().ptr()); + } + return out; + }, + py::arg("graph"), py::arg("pairs"), py::arg("opts"), py::arg("per_pair_elig") = py::none(), + py::arg("workers") = py::none(), + "capacity() per (sources, destinations) pair in pair order, opts.elig intersected with\n" + "per_pair_elig[i] (None entries allowed; a given sequence has one entry per pair, also when\n" + "empty); workers >= 1 (None: NGRAPH_CORE_BATCH_THREADS or 1; 1 with a supplied cache).\n" + "Everything is validated before a worker starts, the arguments first, then each pair\n" + "completely in pair order, so the error of the lowest failing pair index is raised; Pinned is\n" + "rejected; an empty batch returns [].\n" + "A failed call raises; a supplied building cache keeps the entries and statistics of the lookups\n" + "that succeeded before the failure (a memo: APPROACH 13, limit 2)."); + + m.def( + "sensitivity", + [](const std::shared_ptr& graph, const py::object& sources, const py::object& destinations, + const py::object& opts, const py::object& workers) { + if (!graph) throw py::value_error("graph must be a Graph"); + const auto o = options_of(opts, "SensitivityOptions"); + const auto s = node_ids(sources, graph->num_nodes(), "sources"); + const auto d = node_ids(destinations, graph->num_nodes(), "destinations"); + const auto w = workers_of(workers, true, static_cast(o.cache)); + const SensitivityOptions c {o.config, o.elig.get(), o.cache.get(), o.outputs}; + SensitivityResult r; + { + py::gil_scoped_release release; + r = sensitivity(*graph, s, d, c, w); + } + return object_of(std::move(r)); + }, + py::arg("graph"), py::arg("sources"), py::arg("destinations"), py::arg("opts"), py::arg("workers") = py::none(), + "The baseline capacity() and one entry per candidate edge (Global: the baseline's positive-flow\n" + "edges; other models: every allowed edge of at least 1 unit): the loss is the baseline's placed\n" + "minus capacity() without the edge, in signed units, never thresholded (Global evaluates it by the\n" + "flow core's deletion re-solve from the baseline's final state, and CostOnly gives edges no route\n" + "uses loss 0 without a placement, result-equivalent forms of that definition); a placed deletion\n" + "raising a model exception is UNEVALUABLE with the message as reason.\n" + "workers as batch_capacity (NGRAPH_CORE_SENSITIVITY_THREADS).\n" + "A failed call raises; a supplied building cache keeps the entries and statistics of the lookups\n" + "that succeeded before the failure (a memo: APPROACH 13, limit 2)."); + + // ------------------------------------------------------------------ private recorder entries + m.def( "_spf", - [](const std::shared_ptr& graph, const py::object& roots, const std::string& direction, + [](const std::shared_ptr& graph, const py::object& roots, const std::string& direction, const py::object& targets, const PathSelection& selection, const py::object& residual, const py::object& min_residual, const std::shared_ptr& elig) { - if (!graph) throw py::value_error("graph must be a StrictMultiDiGraph"); + if (!graph) throw py::value_error("graph must be a Graph"); if (direction != "forward" && direction != "reverse") { throw py::value_error("direction must be 'forward' or 'reverse'"); } @@ -1134,7 +1782,7 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { // before the residual is read (review-1b R15); detail::spf repeats them. if (t.has_value()) { detail::check_disjoint(detail::node_set(r, graph->num_nodes(), "roots"), - detail::node_set(*t, graph->num_nodes(), "targets")); + detail::node_set(*t, graph->num_nodes(), "targets"), "roots", "targets"); } else if (!selection.multipath) { throw py::value_error("multipath = false requires targets (the single path joins a root to a target)"); } @@ -1148,8 +1796,8 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { if (t.has_value()) ts = std::span(*t); std::optional> rs; if (res.has_value()) rs = std::span(*res); - o = detail::spf(*graph, r, direction == "forward" ? detail::Direction::Forward : detail::Direction::Reverse, ts, - selection, rs, minr, elig.get()); + o = detail::spf(*graph, r, direction == "forward" ? Direction::Forward : Direction::Reverse, ts, selection, rs, + minr, elig.get()); } py::dict out; if (o.costs.has_value()) { @@ -1157,7 +1805,7 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { for (Cost c : *o.costs) costs.append(cost_or_none(c)); out["costs"] = costs; } - out["dag"] = std::make_shared(detail::PredDAGBuilder::from_edges(*graph, o.edges)); + out["dag"] = std::make_shared(detail::PredDAGBuilder::of_edges(*graph, o.edges)); if (t.has_value()) { out["target_cost"] = o.target_cost.has_value() ? py::object(py::int_(*o.target_cost)) : py::object(py::none()); } @@ -1166,8 +1814,58 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { }, py::arg("graph"), py::arg("roots"), py::arg("direction"), py::arg("targets"), py::arg("selection"), py::arg("residual") = py::none(), py::arg("min_residual") = 1, py::arg("elig") = nullptr, - "Private (sub-PR 1b; public spf in 1d): the search of APPROACH 6. Returns {costs (full search),\n" - "dag, target_cost (with targets; None when unreachable), path (the single path's walk)}."); + "private: the internal search of APPROACH 6 (the recorder's entry; the public spf replaces it).\n" + "Returns {costs (full search), dag, target_cost (with targets; None when unreachable), path (the\n" + "single path's walk)}."); + + // ------------------------------------------------------------------ private hooks + +#if NETGRAPH_CORE_PRIVATE_HOOKS + + m.def( + "_max_flows_per_call", + [](const py::object& value) { + auto& cap = detail::max_flows_per_call(); + const auto old = cap.load(); + if (!value.is_none()) cap.store(integer_value(value, 0, kMaxFlowsPerCall, "max_flows_per_call")); + return old; + }, + py::arg("value") = py::none(), + "private test hook: the call-wide creation cap (MAX_FLOWS_PER_CALL by default); returns the old value"); + + m.def( + "_sensitivity_fail_edge", + [](const py::object& edge) { + auto& hook = detail::sensitivity_fail_edge(); + const auto old = hook.load(); + hook.store(edge.is_none() ? -1 : integer_value(edge, -1, std::numeric_limits::max(), "edge")); + return old; + }, + py::arg("edge") = py::none(), + "private test hook: the candidate whose deletion raises a model exception (None: off)"); + + m.def( + "_fail_python_allocation", + [](const py::object& fn, const py::tuple& args, long k) { + // Calls fn(*args) with the k-th Python object allocation (from 0) failing, then + // restores the allocator. Returns (hit, allocations seen, result or None, exception or + // None). One caller at a time: the allocator is process-wide while the call runs. + PyMem_GetAllocator(PYMEM_DOMAIN_OBJ, &g_saved_allocator); + PyMemAllocatorEx hook {nullptr, failing_malloc, failing_calloc, failing_realloc, forwarding_free}; + g_fail_countdown.store(k); + g_fail_seen.store(0); + g_fail_hit.store(false); + PyMem_SetAllocator(PYMEM_DOMAIN_OBJ, &hook); + PyObject* r = PyObject_CallObject(fn.ptr(), args.ptr()); + PyMem_SetAllocator(PYMEM_DOMAIN_OBJ, &g_saved_allocator); + g_fail_countdown.store(-1); + py::object result = r != nullptr ? py::reinterpret_steal(r) : py::object(py::none()); + py::object error = py::none(); + if (r == nullptr) error = py::reinterpret_steal(PyErr_GetRaisedException()); + return py::make_tuple(g_fail_hit.load(), g_fail_seen.load(), result, error); + }, + py::arg("fn"), py::arg("args"), py::arg("k"), + "private test hook: fn(*args) with the k-th Python object allocation failing -> (hit, seen, result, error)"); m.def( "_round_robin", @@ -1178,7 +1876,7 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { detail::round_robin(t, out); return out; }, - py::arg("total"), py::arg("k"), "Private: round robin of total units over k members (APPROACH 2.1)."); + py::arg("total"), py::arg("k"), "private: round robin of total units over k members (APPROACH 2.1)"); m.def( "_highest_averages", @@ -1200,6 +1898,7 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { return out; }, py::arg("total"), py::arg("weights"), - "Private: highest-averages (D'Hondt) apportionment of total units over positive weights, ties by\n" - "the lower index (APPROACH 2.1)."); + "private: highest-averages (D'Hondt) apportionment of total units over positive weights, ties by\n" + "the lower index (APPROACH 2.1)"); +#endif } diff --git a/dev/cpp-tests.sh b/dev/cpp-tests.sh index aab39be..ff28da7 100644 --- a/dev/cpp-tests.sh +++ b/dev/cpp-tests.sh @@ -17,7 +17,7 @@ if [[ "$(uname -s)" == Darwin ]]; then else leak_detection=1 fi -cmake -S . -B "$build_dir" -DNETGRAPH_CORE_BUILD_TESTS=ON \ +cmake -S . -B "$build_dir" -DNETGRAPH_CORE_BUILD_TESTS=ON -DNETGRAPH_CORE_PRIVATE_HOOKS=ON \ -DNETGRAPH_CORE_SANITIZE="$sanitize" -DCMAKE_BUILD_TYPE="$build_type" cmake --build "$build_dir" --config "$build_type" --parallel "$jobs" if [[ "$sanitize" == ON ]]; then diff --git a/include/netgraph/core/dag_cache.hpp b/include/netgraph/core/dag_cache.hpp new file mode 100644 index 0000000..f021220 --- /dev/null +++ b/include/netgraph/core/dag_cache.hpp @@ -0,0 +1,67 @@ +/* The DagCache of APPROACH 10 in building mode. */ +#pragma once + +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/graph.hpp" +#include "netgraph/core/options.hpp" +#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/types.hpp" + +namespace netgraph::core { + +// A cache of shortest-path supports bound to one graph (by uid). The key is (the roots as a +// sorted set, the direction, the Eligibility uid; no Eligibility is uid 0); the value is the full +// static support of that search (multipath = true, multi_edge = true, no residual: every tight +// edge of the statically eligible member graph over the nodes it reaches, forward-oriented for a +// reverse search) as an immutable shared PredDAG, valid after clear() and after the cache is +// destroyed. Selection is never cached: a policy projects it at creation (APPROACH 9.1, 10). +// +// Building mode: one writer, no concurrent readers. A hit returns the value; a miss runs the +// search, inserts and returns (a failed search counts one miss and inserts nothing); an invalid +// query (a graph or Eligibility of another graph, an empty root set, a root out of range) throws +// std::invalid_argument and counts nothing. clear() empties the cache; the hit and miss counters +// persist. Statistics are atomic per field, not a consistent snapshot: `bytes` is the retained +// payload of the entries (the DAGs' stored arrays), `live_values` the values alive anywhere, +// entries included. A supplied cache whose public call fails later keeps the complete entries +// and statistics of its successful lookups (APPROACH 13, limit 2). +class DagCache { +public: + struct Stats { + std::int64_t hits {0}; + std::int64_t misses {0}; + std::int64_t entries {0}; + std::int64_t bytes {0}; + std::int64_t live_values {0}; + }; + + explicit DagCache(const Graph& graph); + DagCache(const DagCache&) = delete; + DagCache& operator=(const DagCache&) = delete; + ~DagCache() = default; + + [[nodiscard]] std::uint64_t graph_uid() const noexcept { return graph_uid_; } + [[nodiscard]] std::shared_ptr lookup(const Graph& g, std::span roots, + Direction direction, const Eligibility* elig); + void clear() noexcept; + [[nodiscard]] Stats stats() const noexcept; + +private: + using Key = std::tuple, Direction, std::uint64_t>; + std::uint64_t graph_uid_ {0}; + std::map> entries_ {}; + std::atomic hits_ {0}; + std::atomic misses_ {0}; + std::atomic num_entries_ {0}; + std::atomic bytes_ {0}; + // Shared with every value's deleter, so it outlives the cache while values live. + std::shared_ptr> live_ {std::make_shared>(0)}; +}; + +} // namespace netgraph::core diff --git a/include/netgraph/core/detail/endpoints.hpp b/include/netgraph/core/detail/endpoints.hpp new file mode 100644 index 0000000..1db481c --- /dev/null +++ b/include/netgraph/core/detail/endpoints.hpp @@ -0,0 +1,55 @@ +/* Endpoint and root sets (internal; APPROACH 4, 6 and 9.3; rule 13): one normalisation, one + overlap check and one message for each defect, shared by the flow core, the searches, the + ledger's bottleneck, the policies, the evaluators and the bindings (which check unnarrowed + Python integers and report the same texts). */ +#pragma once + +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/types.hpp" + +namespace netgraph::core::detail { + +inline std::string empty_set_error(const char* name) { return std::string(name) + ": the node set is empty"; } + +inline std::string node_range_error(const char* name, const std::string& node, std::int32_t num_nodes) { + return std::string(name) + ": node " + node + " out of node range [0, " + std::to_string(num_nodes) + ")"; +} + +inline std::string overlap_error(NodeId v, const char* a, const char* b) { + return "node " + std::to_string(v) + " is in both endpoint sets: " + a + " and " + b + " must not overlap"; +} + +// The sorted, duplicate-free node set; std::invalid_argument for an empty set or an id out of +// range (`name` labels the message). +[[nodiscard]] inline std::vector node_set(std::span nodes, std::int32_t num_nodes, + const char* name) { + if (nodes.empty()) throw std::invalid_argument(empty_set_error(name)); + for (NodeId v : nodes) { + if (v < 0 || v >= num_nodes) throw std::invalid_argument(node_range_error(name, std::to_string(v), num_nodes)); + } + std::vector out(nodes.begin(), nodes.end()); + std::sort(out.begin(), out.end()); + out.erase(std::unique(out.begin(), out.end()), out.end()); + return out; +} + +// std::invalid_argument when the two sorted sets share a vertex (the first shared one; rule 13). +inline void check_disjoint(std::span a, std::span b, const char* a_name, + const char* b_name) { + for (std::size_t i = 0, k = 0; i < a.size() && k < b.size();) { + if (a[i] == b[k]) throw std::invalid_argument(overlap_error(a[i], a_name, b_name)); + if (a[i] < b[k]) { + ++i; + } else { + ++k; + } + } +} + +} // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/enum_domain.hpp b/include/netgraph/core/detail/enum_domain.hpp new file mode 100644 index 0000000..0fa3c5e --- /dev/null +++ b/include/netgraph/core/detail/enum_domain.hpp @@ -0,0 +1,66 @@ +/* Membership of enumeration values (internal; rule 13). An enum-typed field can hold a value + outside its enumeration (a C++ cast, a Python enum built from an integer); such a value is + outside the domain and is rejected (std::invalid_argument naming the field) before it + reaches any rule or record. */ +#pragma once + +#include +#include + +#include "netgraph/core/options.hpp" + +namespace netgraph::core::detail { + +[[noreturn]] inline void not_a_member(const char* field, int value, const char* enumeration) { + throw std::invalid_argument(std::string(field) + ": " + std::to_string(value) + " is not a value of " + enumeration); +} + +inline void check_member(FlowPlacement v, const char* field) { + switch (v) { + case FlowPlacement::MaxFlow: + case FlowPlacement::Weighted: + case FlowPlacement::EqualBalanced: return; + } + not_a_member(field, static_cast(v), "FlowPlacement"); +} + +inline void check_member(Admission v, const char* field) { + switch (v) { + case Admission::Lossless: + case Admission::Lossy: return; + } + not_a_member(field, static_cast(v), "Admission"); +} + +inline void check_member(EdgeTieBreak v, const char* field) { + switch (v) { + case EdgeTieBreak::Deterministic: + case EdgeTieBreak::PreferHigherPriority: return; + } + not_a_member(field, static_cast(v), "EdgeTieBreak"); +} + +inline void check_member(EdgePriority v, const char* field) { + switch (v) { + case EdgePriority::Residual: + case EdgePriority::Capacity: + case EdgePriority::Headroom: return; + } + not_a_member(field, static_cast(v), "EdgePriority"); +} + +inline void check_member(Direction v, const char* field) { + switch (v) { + case Direction::Forward: + case Direction::Reverse: return; + } + not_a_member(field, static_cast(v), "Direction"); +} + +// The two enum-typed fields of a selection. +inline void check_selection(const PathSelection& selection) { + check_member(selection.tie_break, "selection.tie_break"); + check_member(selection.priority, "selection.priority"); +} + +} // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/evaluator_checks.hpp b/include/netgraph/core/detail/evaluator_checks.hpp new file mode 100644 index 0000000..6d8b361 --- /dev/null +++ b/include/netgraph/core/detail/evaluator_checks.hpp @@ -0,0 +1,28 @@ +/* The evaluators' argument checks and worker default (internal), shared with the Python + binding so that both report the same first error (APPROACH 4 and 11). */ +#pragma once + +#include +#include +#include + +#include "netgraph/core/evaluators.hpp" +#include "netgraph/core/graph.hpp" +#include "netgraph/core/types.hpp" + +namespace netgraph::core::detail { + +// batch_capacity's validation in its two parts: the arguments (workers, foreign objects, the +// cache rule, Pinned, the configuration), then one pair (its endpoint sets, their overlap, its +// Eligibility's graph), the pairs in index order. +void check_batch_arguments(const Graph& g, const CapacityOptions& opts, std::int32_t workers); +void check_batch_pair(const Graph& g, std::span sources, + std::span destinations, const Eligibility* elig, std::size_t index); + +// The evaluators' default worker count from the environment (NGRAPH_CORE_BATCH_THREADS for +// batch_capacity, NGRAPH_CORE_SENSITIVITY_THREADS for sensitivity): an integer in [1, 4096], +// else 1. An explicit workers >= 1 is always honoured; the environment supplies defaults only +// (APPROACH 11). +std::int32_t default_workers(bool sensitivity) noexcept; + +} // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/flow_core.hpp b/include/netgraph/core/detail/flow_core.hpp index 586c794..07a414f 100644 --- a/include/netgraph/core/detail/flow_core.hpp +++ b/include/netgraph/core/detail/flow_core.hpp @@ -1,31 +1,236 @@ -/* The flow core restricted to an edge subset (internal; APPROACH 2.2 and 7). */ +/* The one integer minimum-cost flow core (internal; APPROACH 2.2): the solve on a graph's + eligible edges behind the recorder's private entry and Global routing, the solve on an edge + subset behind the MaxFlow kernel, and the deletion re-solve behind the exact sensitivity + model. */ #pragma once +#include +#include +#include +#include #include #include +#include #include #include -#include "netgraph/core/strict_multidigraph.hpp" +#include "netgraph/core/detail/int128.hpp" +#include "netgraph/core/detail/private_hooks.hpp" +#include "netgraph/core/graph.hpp" #include "netgraph/core/types.hpp" namespace netgraph::core::detail { +// Potential of a vertex that no Dijkstra run of the call settled. Potentials are otherwise +// non-negative path costs, so the sentinel never collides. +inline constexpr Cost kNeverReached = -1; +// Upper bound of the internal value cap; also the capacity of the virtual source and sink arcs, +// strictly above every attainable value (below 2^62), so a virtual arc never saturates. +inline constexpr Amount kMaxFlowCap = INT64_MAX - 1; + +// Operation counters of one call: diagnostics for the performance gate's drift check, identical +// across identical calls, never an oracle. Virtual vertices and arcs count like real ones. +struct FlowCoreCounters { + std::int64_t dijkstra_runs {0}; // every run, the final failed one included + std::int64_t dijkstra_pops {0}; // heap pops, stale ones included + std::int64_t settled {0}; // vertices finalised, summed over runs + std::int64_t arc_scans {0}; // arcs examined by Dijkstra, Dinic BFS and DFS advance + std::int64_t dinic_phases {0}; // BFS level builds, the last unsuccessful one of a tier included + std::int64_t augmentations {0}; // DFS paths pushed +}; + +// The payload of a solve on a graph (the recorder's _place_global_units, Global routing). +struct FlowCoreResult { + Amount placed {0}; + // The marginal cost curve: (cost, units) with costs strictly increasing and units positive. + std::vector> cost_distribution {}; + std::vector edge_flows {}; // per edge, id order + // Edges with positive view from the full residual closure of the real sources to its + // complement, ascending id; nullopt while the destinations stay connected (a cap stopped the + // solve) and on an input cap of 0. + std::optional> min_cut {}; + std::vector potentials {}; // per node; kNeverReached when never settled + FlowCoreCounters counters {}; +}; + +// A solve's network in local coordinates: real vertices 0..num_nodes-1, s* = num_nodes, +// t* = num_nodes + 1. The input is the view's edges in ascending EdgeId (tail, head, cost and +// view capacity per edge) and the endpoint sets in ascending NodeId; the arcs are slots in +// adjacency order (the slots of x are [off[x], off[x + 1])), each with its head, its cost and +// the slot of its partner, in the arc order of APPROACH 2.2. +struct Network { + std::int32_t num_nodes {0}; + std::vector edges {}; + std::vector tail {}; + std::vector head {}; + std::vector cost {}; + std::vector cap {}; + std::vector sources {}; + std::vector destinations {}; + std::vector off {}; + std::vector arc_head {}; + std::vector rev {}; + std::vector arc_cost {}; + std::vector edge_slot {}; // per edge: its forward slot (at the tail) + std::vector src_rev {}; // per source: the reverse slot of its virtual arc (at the source) + std::vector dst_fwd {}; // per destination: the forward slot of its virtual arc +}; + +// The final state of a solve, captured for the deletion re-solve (APPROACH 2.2): bound to the +// solve's graph (whose owner it holds), effective view and endpoint sets (copied into its +// network, shared immutable between copies); the residual capacities, the attained value, the +// working potentials of all N + 2 vertices, the maximum certificate and the solve's counters. +// A copyable value: copies share the network only. Every field belongs to the one solve, so an +// assignment is all or nothing (APPROACH 13): the copy is built aside, then exchanged by moves, +// which never throw; a failed copy assignment leaves the target as it was. +class DeletionState { +public: + DeletionState() = default; + DeletionState(const DeletionState&) = default; + DeletionState(DeletionState&&) = default; + DeletionState& operator=(const DeletionState& other); + DeletionState& operator=(DeletionState&&) = default; + ~DeletionState() = default; + + [[nodiscard]] const Graph& graph() const noexcept { return *graph_; } + [[nodiscard]] const Network& network() const noexcept { return *net_; } + [[nodiscard]] std::span residual() const noexcept { return res_; } // per slot + [[nodiscard]] Amount value() const noexcept { return value_; } + // The working potentials per local vertex: the published potential plus the tier maxima of + // the later tiers; numeric for every vertex (never the published sentinel). + [[nodiscard]] std::span potentials() const noexcept { return pi_; } + // The maximum certificate: the destinations are outside the full residual closure of the + // real sources. + [[nodiscard]] bool maximum() const noexcept { return maximum_; } + [[nodiscard]] const FlowCoreCounters& counters() const noexcept { return counters_; } + [[nodiscard]] std::vector edge_flows() const; // per EdgeId of the graph + +private: + friend class FlowSolver; + friend class DeletionResolver; + std::shared_ptr graph_ {}; + std::shared_ptr net_ {}; + std::vector res_ {}; + std::vector pi_ {}; + Amount value_ {0}; + bool maximum_ {false}; + FlowCoreCounters counters_ {}; +}; + +// The exchange of the copy assignment, and every move, must not throw. +static_assert(std::is_nothrow_move_constructible_v && std::is_nothrow_move_assignable_v); + +// The internal capture request of a solve: place_global_units stores its final state in +// `state`, bound to `graph`, the shared owner of the solve's graph. The ordinary payload does +// not change. A request, not a value: movable, never copied. +struct DeletionCapture { + DeletionCapture() = default; + DeletionCapture(const DeletionCapture&) = delete; + DeletionCapture(DeletionCapture&&) = default; + DeletionCapture& operator=(const DeletionCapture&) = delete; + DeletionCapture& operator=(DeletionCapture&&) = default; + ~DeletionCapture() = default; + + std::shared_ptr graph {}; + std::optional state {}; +#if NETGRAPH_CORE_PRIVATE_HOOKS + // The tests' view of the solve: every Dijkstra's distances per local vertex (INT64_MAX when + // not reached), before its potential update. + std::function)> on_search {}; +#endif +}; +static_assert(std::is_nothrow_move_constructible_v && + std::is_nothrow_move_assignable_v); + +// The result of one deletion re-solve: the repaired value and its certificates (APPROACH 2.2). +struct DeletionResult { + Amount value {0}; + // The working potentials of all real and virtual vertices (local coordinates, s* = N and + // t* = N + 1), valid on every positive residual arc. + std::vector potentials {}; + // The full residual closure of the real sources to its complement on the deleted view, edges + // of positive view capacity, ascending EdgeId: value == sum(view capacity[cut]). + std::vector cut {}; + std::vector edge_flows {}; // the final flow per EdgeId (the deleted edge 0) + FlowCoreCounters counters {}; // this call's, from zero +}; + +#if NETGRAPH_CORE_PRIVATE_HOOKS +// The tests' observation of a re-solve: the state right after the deletion (repair 0), after +// every potential update and every push of repairs 1 to 3, and at completion (repair 4). +struct DeletionEvent { + int repair {0}; + bool push {false}; + Amount moved {0}; // by the current repair so far + std::span residual {}; + std::span potentials {}; + const FlowCoreCounters* counters {nullptr}; +}; +struct DeletionProbe { + std::function observe {}; + // The control of the search reuse: repair 2 reruns repair 1's failed search. + bool rerun_failed_search {false}; +}; +#endif + +class FlowSolver; + +// The deletion re-solve on one worker's copy of a captured state: each call resets the +// residuals and potentials from that copy, deletes a real arc e = (u, v) with flow f_e > 0 and +// repairs the state by three fixed-origin repairs (u -> v for f_e; u -> s*, then t* -> v, for +// the remainder). The working storage is the resolver's own, allocated at construction. +class DeletionResolver { +public: + explicit DeletionResolver(const DeletionState& state); + ~DeletionResolver(); + DeletionResolver(DeletionResolver&&) noexcept; + DeletionResolver& operator=(DeletionResolver&&) noexcept; + DeletionResolver(const DeletionResolver&) = delete; + DeletionResolver& operator=(const DeletionResolver&) = delete; + + // Throws std::invalid_argument before any change when the state is not certified maximum or + // e is not an edge of the view with positive flow. + [[nodiscard]] DeletionResult resolve(EdgeId e); +#if NETGRAPH_CORE_PRIVATE_HOOKS + [[nodiscard]] DeletionResult resolve(EdgeId e, const DeletionProbe& probe); +#endif + +private: + // The input index of e after the precondition checks above. + [[nodiscard]] std::size_t index_of(EdgeId e) const; + DeletionState state_; + std::unique_ptr solver_; +}; + +// Minimum-cost flow of the maximum value attainable under `cap` from the source set to the +// destination set over the eligible edges, on the capacities `view` (units, id order). Every +// solve starts from zero flow. `cap` nullopt is uncapped; an input cap of 0 returns the zero +// payload without running a search. Throws std::invalid_argument before any work, in this +// order, for a view of the wrong length or with an entry outside [0, capacity_units[e]], an +// empty or out-of-range endpoint set, a vertex in both sets, a cap outside [0, 2^63 - 2], or a +// foreign Eligibility. Excluded endpoints are skipped. With `capture`, the final state is +// stored there as well. +[[nodiscard]] FlowCoreResult place_global_units(const Graph& g, std::span view, + std::span sources, + std::span destinations, const Eligibility* elig, + std::optional cap, DeletionCapture* capture = nullptr); + +// The solve on an edge subset (the MaxFlow kernel's replacement on V_i = W + own_i over a +// flow's split graph): flows aligned with the input edges, the value and the marginal curve. struct SubsetFlow { Amount placed {0}; - std::vector flows {}; // aligned with the input edges + std::vector flows {}; std::vector> cost_distribution {}; }; // The minimum-cost flow of the maximum value under `cap` (nullopt: uncapped) from `sources` to // `destinations` over the edges `edges` (ascending EdgeId, distinct) with capacities `caps` -// (aligned with `edges`, each in [0, 2^62)). The one flow core of APPROACH 2.2 with the same -// arc order (ascending EdgeId at every node, the virtual arc first, virtual arcs by ascending -// endpoint NodeId), from zero flow; the vertices are compressed to the ones the edges and -// endpoints touch, which changes no flow, curve or augmenting path. The endpoint sets are -// ascending, distinct and disjoint; the caller validated every input (the MaxFlow kernel's -// replacement solve on V_i = W + own_i over the flow's split graph). -[[nodiscard]] SubsetFlow solve_subset(const StrictMultiDiGraph& g, std::span edges, +// (aligned with `edges`, each in [0, 2^62)). The same core and arc order as +// place_global_units (ascending EdgeId at every node, the virtual arc first, virtual arcs by +// ascending endpoint NodeId), from zero flow; the vertices are compressed to the ones the edges +// and endpoints touch, which changes no flow, curve or augmenting path. The endpoint sets are +// ascending, distinct and disjoint; the caller validated every input. +[[nodiscard]] SubsetFlow solve_subset(const Graph& g, std::span edges, std::span caps, std::span sources, std::span destinations, std::optional cap); diff --git a/include/netgraph/core/detail/int128.hpp b/include/netgraph/core/detail/int128.hpp index 32cb664..9e92826 100644 --- a/include/netgraph/core/detail/int128.hpp +++ b/include/netgraph/core/detail/int128.hpp @@ -1,12 +1,22 @@ -/* Portable unsigned 128-bit products and comparisons for exact rational arithmetic (internal). +/* Portable 128-bit values (internal). - Used by the highest-averages apportionment (quotients w / d compared by cross products, lower - quotas floor(I * w / W)) and by the Headroom priority (residual / capacity compared by cross - products). Every operand is below 2^63, so every product is below 2^126 and every quotient - that is formed fits 64 bits. Compilers with __int128 use it; others use 32-bit limbs. + U128, unsigned, for exact rational arithmetic: the highest-averages apportionment (quotients + w / d compared by cross products, lower quotas floor(I * w / W)), the Headroom priority + (residual / capacity compared by cross products), the comparisons with a double factor read + as the exact dyadic rational it is (the Stretch ceiling, the diminishing guard) and the + cumulative counters (Counter128). Every product operand is below 2^63, so every product is + below 2^126 and every quotient that is formed fits 64 bits. Compilers with __int128 use it; + others use 32-bit limbs. + + I128, signed, for the deletion re-solve of the flow core (APPROACH 2.2): working potentials, + distance keys and sums of tier maxima, which stay within (22 n + 15) C for n vertices and the + cost sum C < 2^62. Only addition, subtraction and comparison, on two limbs everywhere. */ #pragma once +#include +#include +#include #include namespace netgraph::core::detail { @@ -64,4 +74,60 @@ inline std::uint64_t div_u128(U128 n, std::uint64_t d) noexcept { #endif +// The number of significant bits of v (0 for 0). +inline int bits(U128 v) noexcept { return v.hi != 0 ? 64 + std::bit_width(v.hi) : std::bit_width(v.lo); } + +// v * 2^k for 0 <= k < 128; the caller keeps the result below 2^128 (bits(v) + k <= 128). +inline U128 shl(U128 v, int k) noexcept { + if (k == 0) return v; + if (k >= 64) return {v.lo << (k - 64), 0}; + return {(v.hi << k) | (v.lo >> (64 - k)), v.lo << k}; +} + +// A signed 128-bit integer in two's complement, value = hi * 2^64 + lo. The member order makes +// the defaulted comparison (hi signed, then lo unsigned) the numeric order. +struct I128 { + std::int64_t hi {0}; + std::uint64_t lo {0}; + + constexpr I128() noexcept = default; + // Implicit, so int64 costs and amounts enter the arithmetic directly. + constexpr I128(std::int64_t v) noexcept : hi(v < 0 ? -1 : 0), lo(static_cast(v)) {} + + friend constexpr bool operator==(const I128&, const I128&) noexcept = default; + friend constexpr std::strong_ordering operator<=>(const I128&, const I128&) noexcept = default; + + friend constexpr I128 operator+(I128 a, I128 b) noexcept { + I128 r; + r.lo = a.lo + b.lo; + const std::uint64_t carry = r.lo < a.lo ? 1U : 0U; + r.hi = static_cast(static_cast(a.hi) + static_cast(b.hi) + carry); + return r; + } + friend constexpr I128 operator-(I128 a, I128 b) noexcept { + I128 r; + r.lo = a.lo - b.lo; + const std::uint64_t borrow = a.lo < b.lo ? 1U : 0U; + r.hi = static_cast(static_cast(a.hi) - static_cast(b.hi) - borrow); + return r; + } + constexpr I128& operator+=(I128 b) noexcept { return *this = *this + b; } +}; + +// A positive finite double as the exact dyadic rational it is: f = m * 2^x with m odd and +// below 2^53. +struct Dyadic { + std::uint64_t m {0}; + int x {0}; +}; +inline Dyadic dyadic(double f) noexcept { + int e = 0; + const double frac = std::frexp(f, &e); // f = frac * 2^e, frac in [0.5, 1) + Dyadic d {static_cast(std::ldexp(frac, 53)), e - 53}; + const int tz = std::countr_zero(d.m); + d.m >>= tz; + d.x += tz; + return d; +} + } // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/kernels.hpp b/include/netgraph/core/detail/kernels.hpp index bbbed3f..25e4c7a 100644 --- a/include/netgraph/core/detail/kernels.hpp +++ b/include/netgraph/core/detail/kernels.hpp @@ -4,29 +4,51 @@ creation: the route, its split graph (the route's edges that pass the kernel's membership rule, pruned to the walks from the source to the destination set, destinations terminal) and, for Weighted, the weights. These are the per-flow routines of the placement transaction - (APPROACH 9.2 stage 3); the policies of sub-PR 1c compose them, the ledger commits their - output. + (APPROACH 9.2 stage 3); the policy engine composes them and the ledger commits their output. */ #pragma once #include #include #include +#include #include -#include "netgraph/core/flow.hpp" +#include "netgraph/core/graph.hpp" #include "netgraph/core/options.hpp" #include "netgraph/core/pred_dag.hpp" -#include "netgraph/core/strict_multidigraph.hpp" #include "netgraph/core/types.hpp" namespace netgraph::core::detail { // ---------------------------------------------------------------- apportionment (2.1) -// Round robin (EqualBalanced and Lossy EqualBalanced): floor(total / k) to each of the k = -// out.size() members, one more unit to the first total mod k members (ascending EdgeId). -void round_robin(Amount total, std::span out) noexcept; +// Round robin (EqualBalanced and Lossy EqualBalanced at every node; the cohort's split over its +// flows and a source's offer over its flows): floor(total / k) to each of the k members, one +// more unit to the first total mod k members (ascending EdgeId). Only the n leading members with +// a positive share (n = total when total < k, else k) are visited: the members from n on carry +// 0, which a caller with a zeroed output need not write or visit. The callback form computes the +// split once and calls share(i, x) for i in [0, n), in index order; share returns false to stop +// early. It returns the number of shares accepted: n, or the index i whose call returned false. +// The span form writes out[0 .. n) of the k = out.size() members and returns n. +template +inline std::size_t round_robin(Amount total, std::size_t k, Share&& share) { + const auto kk = static_cast(k); + const Amount base = total / kk; + const auto extra = static_cast(total % kk); + const std::size_t n = base == 0 ? extra : k; + for (std::size_t i = 0; i < n; ++i) { + if (!share(i, base + (i < extra ? 1 : 0))) return i; + } + return n; +} + +inline std::size_t round_robin(Amount total, std::span out) noexcept { + return round_robin(total, out.size(), [&](std::size_t i, Amount x) noexcept { + out[i] = x; + return true; + }); +} // Highest averages (Jefferson, D'Hondt; Weighted and Lossy Weighted): the units go one at a // time to the member maximising w / (a + 1), ties by the lower member index (ascending @@ -37,14 +59,13 @@ void highest_averages(Amount total, std::span weights, std::span dsts {}; // ascending std::vector route {}; // ascending: the flow's route (its record's bundle) @@ -63,41 +84,42 @@ struct KernelPlan { std::int32_t src_out_end {0}; }; -// The edges of `edges` that lie on some walk from `src` to the destination set (edges leaving -// a destination removed: destinations are terminal), ascending. -[[nodiscard]] std::vector prune(const StrictMultiDiGraph& g, std::span edges, NodeId src, +// The edges of `dag` that lie on some walk from `src` to the destination set (edges leaving a +// destination removed: destinations are terminal), ascending. +[[nodiscard]] std::vector prune(const Graph& g, const PredDAG& dag, NodeId src, std::span dsts); -// The plan of a new flow on `route` (ascending, acyclic; the edges of the flow's DAG or -// bundle), its membership captured on `creation_view` (route-aligned: one entry per route -// edge, the view of the search that created the route; read only by a Weighted Residual -// membership, may be empty otherwise): MaxFlow every route edge (its view decides), Weighted by -// `priority` (Residual: creation view >= 1 unit; Capacity: static capacity >= 1 unit) with the -// weights read from the same values, EqualBalanced static capacity >= 1 unit; Lossy keeps its -// kernel's membership. The members are then pruned to the walks from src to the destination -// set (none leaving a destination) and given their topological structure, in one pass. `dsts` -// ascending and disjoint from src. -[[nodiscard]] KernelPlan make_plan(const StrictMultiDiGraph& g, FlowPlacement placement, Admission admission, +// The minimum walk cost from `src` to the destination set over `route` (a record's bundle; +// APPROACH 8, rule 12); kUnreachable when the route has no such walk. The split-graph builder's +// cost pass alone: no plan is built. +[[nodiscard]] Cost route_cost(const Graph& g, const PredDAG& route, NodeId src, + std::span dsts); + +// The plan of a new flow on `route` (acyclic; the flow's DAG or path, its record's bundle), its +// membership captured on `creation_view` (aligned with the route's edges in ascending EdgeId: +// the view of the search that created the route; read only by a Weighted Residual membership, +// may be empty otherwise): MaxFlow every route edge (its view decides), Weighted by `priority` +// (Residual: creation view >= 1 unit; Capacity: static capacity >= 1 unit) with the weights read +// from the same values, EqualBalanced static capacity >= 1 unit; Lossy keeps its kernel's +// membership. The members are pruned to the walks from src to the destination set (none +// leaving a destination) and given their topological structure, in one pass. With `cost`, the +// route's minimum walk cost (route_cost) is computed in the same pass when every route edge is a +// member. `dsts` ascending and disjoint from src. +[[nodiscard]] KernelPlan make_plan(const Graph& g, FlowPlacement placement, Admission admission, EdgePriority priority, NodeId src, std::span dsts, - std::span route, std::span creation_view); - -// The usable route of a bundle as a plan: of the bundle's edges the ones with static capacity -// >= 1 unit that `elig` allows (every one when null), pruned to the walks from src to the -// destination set; route == members, with the topological structure (built on the bundle's -// own predecessor lists). It is -// the plan of every kernel whose membership is static (MaxFlow, EqualBalanced, Weighted with -// Capacity: weights the capacities); a Weighted Residual plan is made from its route at -// creation (make_plan). -// With `cost`, the route's minimum walk cost from src to the destination set is computed in -// the same pass (route_cost of the plan; kUnreachable when the route is empty). -[[nodiscard]] KernelPlan make_route_plan(const StrictMultiDiGraph& g, FlowPlacement placement, Admission admission, + const PredDAG& route, std::span creation_view, Cost* cost = nullptr); + +// The usable route of a Pinned bundle as a plan: of the bundle's edges the ones with static +// capacity >= 1 unit that `elig` allows (every one when null), pruned to the walks from src to +// the destination set; route == members, with the topological structure. It is the plan of +// every kernel whose membership is static (MaxFlow, EqualBalanced, Weighted with Capacity: +// weights the capacities); a Weighted Residual plan is made from its route at creation +// (make_plan). With `cost`, the usable route's minimum walk cost (kUnreachable when it is +// empty), computed in the same pass. +[[nodiscard]] KernelPlan make_route_plan(const Graph& g, FlowPlacement placement, Admission admission, EdgePriority priority, NodeId src, std::span dsts, const PredDAG& bundle, const Eligibility* elig, Cost* cost = nullptr); -// The minimum walk cost from the source to the destination set over the route (the -// record's bundle); kUnreachable when the route has no such walk. -[[nodiscard]] Cost route_cost(const StrictMultiDiGraph& g, const KernelPlan& plan); - // ---------------------------------------------------------------- allocation (16.2, 16.3) // The cumulative allocation alloc(T) of a Weighted or EqualBalanced plan, member-aligned: @@ -123,17 +145,18 @@ struct TMax { // One Lossless step of one flow (APPROACH 9.2 stage 3, 16.3): T_new = max(T, min(T + request, // T_max(V))) on the replacement view V = W + own (member-aligned `view_m`), with `own_m` the // flow's committed allocation alloc(T) (member-aligned). MaxFlow solves the flow core on the -// split graph with cap T + request (uncapped for +inf); Weighted and EqualBalanced probe -// T + request first and search T_max (as t_max does) only when it does not fit: the result is -// the same T_new. `request` nullopt is -// +inf. `alloc` is the new member-aligned allocation (own_m itself when T is unchanged on a -// Weighted or EqualBalanced plan). +// split graph with cap T + request (uncapped for +inf) and reports the solve's marginal curve; +// Weighted and EqualBalanced probe T + request first and search T_max (as t_max does) only when +// it does not fit: the result is the same T_new. `request` nullopt is +inf. `alloc` is the new +// member-aligned allocation (own_m itself when T is unchanged on a Weighted or EqualBalanced +// plan). struct LosslessStep { Amount total {0}; std::vector alloc {}; - std::int32_t iterations {0}; // probes of this step's T_max search (at most 62) + std::int32_t iterations {0}; // probes of this step's T_max search (at most 62) + std::vector> cost_distribution {}; // MaxFlow: the solve's marginal curve }; -[[nodiscard]] LosslessStep lossless_step(const StrictMultiDiGraph& g, const KernelPlan& plan, Amount total, +[[nodiscard]] LosslessStep lossless_step(const Graph& g, const KernelPlan& plan, Amount total, std::span view_m, std::span own_m, std::optional request); diff --git a/include/netgraph/core/detail/ledger_access.hpp b/include/netgraph/core/detail/ledger_access.hpp index aa174ca..9496627 100644 --- a/include/netgraph/core/detail/ledger_access.hpp +++ b/include/netgraph/core/detail/ledger_access.hpp @@ -8,58 +8,54 @@ #pragma once #include -#include #include #include -#include #include -#include "netgraph/core/flow.hpp" -#include "netgraph/core/flow_graph.hpp" +#include "netgraph/core/flow_ledger.hpp" +#include "netgraph/core/flow_record.hpp" namespace netgraph::core::detail { // A record proposed by a policy for the commit: `id` nullopt is a new flow (its id is assigned -// at the commit, in draft order). `edges` and `drops` ascending EdgeId; zero entries dropped. +// at the commit, in draft order); the commit sets the record's flow_id and owner. The record's +// `edges` and `drops` ascend by EdgeId; zero entries are dropped. struct Draft { std::optional id {}; - std::vector sources {}; - std::vector destinations {}; - FlowPlacement placement {FlowPlacement::MaxFlow}; - Admission admission {Admission::Lossless}; - std::shared_ptr bundle {}; - Cost route_cost {kUnreachable}; - std::optional offered {}; - Amount delivered {0}; - std::vector> edges {}; - std::vector> drops {}; + FlowRecord record {}; }; +// The saturation diagnostic of FlowLedger::bottleneck on a given residual (the sources already a +// validated set): the edges (statically eligible, capacity >= 1 unit) leaving the set reachable +// from the allowed sources over eligible forward arcs with residual >= 1 unit, ascending EdgeId. +[[nodiscard]] std::vector bottleneck_of(const Graph& g, std::span residual, + std::span sources, const Eligibility* elig); + struct LedgerAccess { // A new owner id (0, 1, ... per ledger). Throws on a moved-from ledger. - [[nodiscard]] static std::int64_t bind(FlowGraph& fg); + [[nodiscard]] static std::int64_t bind(FlowLedger& fg); // The owner's policy is destroyed without remove(): its records stay as orphans. - static void release(FlowGraph& fg, std::int64_t owner) noexcept; + static void release(FlowLedger& fg, std::int64_t owner) noexcept; // remove(): the owner's records are deleted (allocations reverted), their ids retired. // Throws only before any change (a moved-from ledger, an unbound owner). - static std::vector detach(FlowGraph& fg, std::int64_t owner); + static std::vector detach(FlowLedger& fg, std::int64_t owner); // One atomic exchange: `drafts` must carry every live record of the owner (by id) plus the // new ones; the new aggregate must stay within [0, baseline] on every edge. Throws (and // changes nothing) otherwise, an allocation failure included: every allocation happens // before a publication step that cannot throw. Returns the FlowIds of the new records in // draft order. The drafts' vectors are moved from. - static std::vector commit(FlowGraph& fg, std::int64_t owner, std::span drafts); + static std::vector commit(FlowLedger& fg, std::int64_t owner, std::span drafts); // A live record by id (throws std::invalid_argument for an unknown or retired id). - [[nodiscard]] static const FlowRecord& live(const FlowGraph& fg, std::int64_t id); + [[nodiscard]] static const FlowRecord& live(const FlowLedger& fg, std::int64_t id); // The working residual baseline - allocated into `out` (resized to E). - static void residual_into(const FlowGraph& fg, std::vector& out); - [[nodiscard]] static std::span baseline(const FlowGraph& fg); + static void residual_into(const FlowLedger& fg, std::vector& out); + [[nodiscard]] static std::span baseline(const FlowLedger& fg); // The aggregate allocation (borrowed; valid until the next commit, detach or reset). - [[nodiscard]] static std::span allocated(const FlowGraph& fg); - // Diagnostics (tests, the private recorder binding). - [[nodiscard]] static std::int64_t next_flow_id(const FlowGraph& fg); - [[nodiscard]] static std::vector bound_owners(const FlowGraph& fg); - [[nodiscard]] static std::vector orphan_owners(const FlowGraph& fg); + [[nodiscard]] static std::span allocated(const FlowLedger& fg); + // Diagnostics (the tests and the private bindings). + [[nodiscard]] static std::int64_t next_flow_id(const FlowLedger& fg); + [[nodiscard]] static std::vector bound_owners(const FlowLedger& fg); + [[nodiscard]] static std::vector orphan_owners(const FlowLedger& fg); }; } // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/node_map.hpp b/include/netgraph/core/detail/node_map.hpp index 5a1d9af..6af17a5 100644 --- a/include/netgraph/core/detail/node_map.hpp +++ b/include/netgraph/core/detail/node_map.hpp @@ -3,7 +3,6 @@ #include #include -#include #include #include "netgraph/core/types.hpp" @@ -47,7 +46,6 @@ class NodeMap { } [[nodiscard]] std::int32_t of(NodeId v) const noexcept { return slot_[static_cast(v)]; } [[nodiscard]] std::size_t size() const noexcept { return count_; } - [[nodiscard]] std::span nodes() const noexcept { return {nodes_.data(), count_}; } static NodeMap& local() { thread_local NodeMap map; diff --git a/include/netgraph/core/detail/pinned_flow.hpp b/include/netgraph/core/detail/pinned_flow.hpp deleted file mode 100644 index f109145..0000000 --- a/include/netgraph/core/detail/pinned_flow.hpp +++ /dev/null @@ -1,104 +0,0 @@ -/* A Pinned placement with one bundle: the single-flow transaction of sub-PR 1b (internal). - - APPROACH 8: a fixed-structure ("manual") placement is a Pinned policy with one bundle. Until - the policy engine of sub-PR 1c exists, this driver runs that transaction (APPROACH 9.2 - restricted to one flow on one bundle) for the tests, the A/B/A kernel rows and the private - recorder entry, composing the per-flow kernel steps with the ledger's internal entry - points; 1c's FlowPolicy with a one-bundle Pinned routing runs the same steps and replaces it. - - * place(0) is a no-op that creates nothing; a positive request creates the flow when the - bundle is usable (a src -> dst walk survives static eligibility and the capacity >= 1 - unit rule), else nothing is created and the call ends no_route; - * MaxFlow (replacement): a fresh flow-core solve on V = W + own over the split graph with - cap T + v (+inf: uncapped); - * Weighted and EqualBalanced (incremental): T_new = max(T, min(T + v, T_max(V))); - * Lossy: the offer split by the kernel's rule on W, per call; - * a finite request after +inf is rejected within an epoch (also 0); remove() reverts the - allocation, retires the id and opens a new epoch; destruction without remove() leaves the - record as an orphan. -*/ -#pragma once - -#include -#include -#include -#include -#include - -#include "netgraph/core/detail/kernels.hpp" -#include "netgraph/core/flow.hpp" -#include "netgraph/core/flow_graph.hpp" -#include "netgraph/core/options.hpp" -#include "netgraph/core/pred_dag.hpp" - -namespace netgraph::core::detail { - -// APPROACH 9.4 local outcomes (the public PlacementResult arrives with the policies in 1c). -enum class Termination { Complete, LimitFlows, LimitDiminishing, NoRoute, Exhausted }; - -struct PinnedResult { - Amount placed {0}; - std::optional remaining {}; // nullopt: +inf - Termination termination {Termination::Complete}; - bool routes_changed {false}; - bool weights_changed {false}; - std::vector> drops {}; // this call's transit drops - std::int32_t iterations {0}; // diagnostic: bisection steps of this call's T_max search -}; - -class PinnedFlow { -public: - // Validates (std::invalid_argument): the kernel combination (Lossy with MaxFlow, Weighted - // with Headroom), the endpoints (in range, distinct), a bundle or Eligibility of another - // graph, a bundle without any src -> dst walk before pruning (malformed). - PinnedFlow(FlowGraph& fg, NodeId src, NodeId dst, std::shared_ptr bundle, FlowPlacement placement, - Admission admission, EdgePriority priority, std::shared_ptr elig = nullptr); - PinnedFlow(const PinnedFlow&) = delete; - PinnedFlow& operator=(const PinnedFlow&) = delete; - ~PinnedFlow(); - - // `volume` nullopt is +inf; a finite request is an integer in [0, 2^62). - PinnedResult place(std::optional volume); - void remove(); - // The policy is destroyed without remove(): the record stays as an orphan; later calls throw. - void release() noexcept; - - [[nodiscard]] std::optional flow_id() const noexcept { return flow_id_; } - [[nodiscard]] Amount placed_demand() const; - [[nodiscard]] int usable_bundles() const noexcept { return route_plan_.route.empty() ? 0 : 1; } - // The live flow's plan, frozen at its creation (null without a flow). - [[nodiscard]] const KernelPlan* plan() const noexcept { return plan_; } - [[nodiscard]] std::int64_t owner() const noexcept { return owner_; } - // The epoch's call state: the cumulative finite request (positive calls that reached the - // ledger) and whether +inf was requested. - [[nodiscard]] const Counter128& requested() const noexcept { return requested_; } - [[nodiscard]] bool infinite() const noexcept { return infinite_; } - -private: - void check_bound() const; - - FlowGraph& fg_; - NodeId src_; - NodeId dst_; - std::shared_ptr bundle_; - FlowPlacement placement_; - Admission admission_; - EdgePriority priority_; - std::shared_ptr elig_; - // The usable route (pruned) as a plan with members == route: the plan of every kernel with a - // static membership. Its cost and its DAG (the record's bundle) do not change either. - KernelPlan route_plan_ {}; - Cost route_cost_ {kUnreachable}; - std::shared_ptr route_dag_ {}; // made at the first creation when pruned - std::int64_t owner_ {0}; - bool bound_ {false}; - // Epoch state. - std::optional flow_id_ {}; - std::optional captured_ {}; // a Weighted Residual plan, captured at creation - const KernelPlan* plan_ {nullptr}; // &route_plan_ or &*captured_ while a flow lives - Amount total_ {0}; - Counter128 requested_ {}; - bool infinite_ {false}; -}; - -} // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/policy_engine.hpp b/include/netgraph/core/detail/policy_engine.hpp new file mode 100644 index 0000000..9991cd9 --- /dev/null +++ b/include/netgraph/core/detail/policy_engine.hpp @@ -0,0 +1,80 @@ +/* The state of a FlowPolicy (internal; APPROACH 8 and 9). The transaction lives in + src/flow_policy.cpp; the evaluators, the private bindings and the tests read this state + through PolicyAccess. */ +#pragma once + +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/kernels.hpp" +#include "netgraph/core/flow_ledger.hpp" +#include "netgraph/core/flow_policy.hpp" +#include "netgraph/core/flow_record.hpp" +#include "netgraph/core/pred_dag.hpp" + +namespace netgraph::core::detail { + +struct DeletionCapture; + +// A live flow of the policy between calls. Its amounts are its ledger record (delivered = the +// cumulative T of a Lossless flow; edges; Lossy offered and drops); the plan is frozen at the +// flow's creation (and replaced by an adopted reroute). Global flows have no plan. +struct LiveFlow { + std::int64_t id {-1}; + NodeId src {0}; + std::shared_ptr plan {}; + std::shared_ptr bundle {}; + Cost cost {kUnreachable}; + std::int32_t bundle_index {-1}; // Pinned: the supplied bundle +}; + +// One supplied Pinned bundle prepared at construction: its usable route (static eligibility, +// capacity >= 1 unit, pruned to the src -> dst walks) as the plan of every static-membership +// kernel, its cost, and the record bundle (the supplied DAG itself when nothing was pruned). +struct PreparedPinnedBundle { + std::shared_ptr route_plan {}; + Cost cost {kUnreachable}; + std::shared_ptr route_dag {}; +}; + +struct PolicyEngine { + PolicyEngine(FlowLedger& ledger, FlowPolicyConfig cfg) : fg(ledger), config(std::move(cfg)) {} + + FlowLedger& fg; + std::shared_ptr graph {}; + FlowPolicyConfig config; + const Eligibility* elig {nullptr}; + std::vector sources {}; // the normalised sets + std::vector destinations {}; + std::vector dests_ok {}; // the allowed destinations (the records' destination set) + std::vector roster {}; // fixed at construction, ascending + std::vector baseline {}; // CapacityAware: the static shortest cost per roster source + std::shared_ptr support {}; // CostOnly: the full static support + std::vector bundles {}; // Pinned + std::vector usable {}; // Pinned: indices of usable bundles + std::int64_t owner {0}; + // Epoch state. + std::vector> cohorts {}; // per roster index, in FlowId order + std::vector> curve {}; // Global: the cumulative marginal curve (9.1) + Counter128 requested {}; + bool infinite {false}; + // Global: a capture request for the next solve's final state (the exact sensitivity model's + // baseline, APPROACH 11); set and cleared by the evaluator. + DeletionCapture* capture {nullptr}; +}; + +// The internal access to a policy's engine (the pattern of LedgerAccess): FlowPolicy's public +// interface is the contract's; everything else reaches the state here. +struct PolicyAccess { + [[nodiscard]] static const PolicyEngine& engine(const FlowPolicy& policy) noexcept { return *policy.engine_; } + [[nodiscard]] static PolicyEngine& engine(FlowPolicy& policy) noexcept { return *policy.engine_; } +}; + +// The configuration checks of FlowPolicy (APPROACH 9; enumeration values first, rule 13), +// shared with the evaluators' argument checks. +void validate_config(const FlowPolicyConfig& cfg, std::size_t num_sources, std::size_t num_destinations); + +} // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/pred_dag_builder.hpp b/include/netgraph/core/detail/pred_dag_builder.hpp index 2b6cafe..648b9fa 100644 --- a/include/netgraph/core/detail/pred_dag_builder.hpp +++ b/include/netgraph/core/detail/pred_dag_builder.hpp @@ -1,6 +1,8 @@ -/* Internal construction of PredDAG values (search output, kernel routes, Path::to_dag). */ +/* Internal construction of PredDAG values from trusted inputs (search output, flow routes, + Path::to_dag) and read access to their sparse storage. */ #pragma once +#include #include #include #include @@ -12,12 +14,21 @@ namespace netgraph::core::detail { struct PredDAGBuilder { // The DAG of an edge set known to be acyclic and duplicate-free: per node its predecessor // entries (edge_src, e) in ascending EdgeId. Not validated beyond what the callers guarantee. - [[nodiscard]] static PredDAG from_edges(const StrictMultiDiGraph& g, std::span edges); - // Per child its ascending via members, all with the one parent parent_of[child]. - [[nodiscard]] static PredDAG from_children(std::uint64_t graph_uid, const std::vector>& per_child, - const std::vector& parent_of); + // O(|edges| + N) for ascending input (every caller's), O(|edges| log |edges| + N) otherwise + // (a sort first); the grouping by child is a stable counting sort over a temporary N + 1 + // array, and nothing retained is proportional to the graph's size. + [[nodiscard]] static PredDAG of_edges(const Graph& g, std::span edges); + // A Path's DAG: hop h's members (ascending) are the entries of child nodes[h + 1], all with + // the parent nodes[h]; the nodes are distinct. + [[nodiscard]] static PredDAG of_path(std::uint64_t graph_uid, std::int32_t num_nodes, + const std::vector>& hops, const std::vector& nodes); // The DAG's edges in ascending EdgeId, without a copy (kept by the DAG since construction). [[nodiscard]] static std::span ascending(const PredDAG& dag) noexcept; + // The sparse storage: the member nodes (ascending) and their entry offsets (size + 1). + [[nodiscard]] static std::span member_nodes(const PredDAG& dag) noexcept; + [[nodiscard]] static std::span member_offsets(const PredDAG& dag) noexcept; + // The retained payload in bytes (every stored array; the DagCache's `bytes` statistic). + [[nodiscard]] static std::size_t payload_bytes(const PredDAG& dag) noexcept; }; } // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/private_hooks.hpp b/include/netgraph/core/detail/private_hooks.hpp new file mode 100644 index 0000000..6f09fb4 --- /dev/null +++ b/include/netgraph/core/detail/private_hooks.hpp @@ -0,0 +1,51 @@ +/* The private hooks of the development build (internal). CMake option NETGRAPH_CORE_PRIVATE_HOOKS: + ON for the editable development build and the test suites, OFF for an installed wheel. The + hooks are test controls and prototype-parity diagnostics that the contract does not name: + a lowered creation cap, an injected sensitivity model failure and the transaction trace. + Without the option none of them exists: the engine reads the constant kMaxFlowsPerCall, + sensitivity has no injection branch, and every trace block is a compile-time-dead branch + (kTraced), so no trace code is emitted. */ +#pragma once + +#ifndef NETGRAPH_CORE_PRIVATE_HOOKS +#define NETGRAPH_CORE_PRIVATE_HOOKS 0 +#endif + +namespace netgraph::core::detail { + +// Whether this build traces placement calls (the private hooks). +inline constexpr bool kTraced = NETGRAPH_CORE_PRIVATE_HOOKS != 0; + +} // namespace netgraph::core::detail + +#if NETGRAPH_CORE_PRIVATE_HOOKS + +#include +#include +#include +#include + +#include "netgraph/core/detail/trace.hpp" +#include "netgraph/core/flow_policy.hpp" + +namespace netgraph::core::detail { + +// The call-wide creation cap every CapacityAware call reads (kMaxFlowsPerCall unless a test +// lowers it to reach the cap on small graphs). +std::atomic& max_flows_per_call() noexcept; + +// The sensitivity candidate whose deletion raises a model exception (-1: none). No valid +// configuration raises under an edge deletion (every construction check is +// deletion-independent), so this is how the tests reach `unevaluable` (APPROACH 11). +std::atomic& sensitivity_fail_edge() noexcept; + +// FlowPolicy::place with the transaction's trace (prototype 2's keys). `staged`, when given, runs +// once the result and the trace are final and before anything is published (the commit, the +// epoch state): an exception from it aborts the call with nothing changed (the binding builds +// its Python objects there). +PlacementResult place_traced(FlowPolicy& policy, std::optional volume, const OutputOptions& outputs, Trace& trace, + const std::function* staged = nullptr); + +} // namespace netgraph::core::detail + +#endif diff --git a/include/netgraph/core/detail/search.hpp b/include/netgraph/core/detail/search.hpp index 2818890..f0a4eb0 100644 --- a/include/netgraph/core/detail/search.hpp +++ b/include/netgraph/core/detail/search.hpp @@ -1,13 +1,14 @@ -/* The search semantics of APPROACH 6 as internal routines (the public spf and KSP are 1d). +/* The search semantics of APPROACH 6 as internal routines (the DagCache's supports, the + policies' routes and the private _spf entry of the bindings). Positive costs make the shortest-path DAG from a root set unique (2.4): the tight edges d(u) + cost(e) = d(v) of the member graph. With targets the DAG is pruned to the walks that end in a nearest target (anycast), the same edge set for a forward search from the roots and a reverse search rooted at the targets. The single path is the staged canonical walk: (1) the tight DAG of the query, (2) under PreferHigherPriority the best attainable - bottleneck B* (a max-min DP on the DAG, capped by a Yen prefix's bottleneck) and the DAG - restricted to priority >= B*, (3) one reverse hop count h from the targets and a greedy - walk taking the smallest tight edge whose head has h(v) = h(u) - 1. + bottleneck B* (a max-min DP on the DAG) and the DAG restricted to priority >= B*, (3) one + reverse hop count h from the targets and a greedy walk taking the smallest tight edge whose + head has h(v) = h(u) - 1. */ #pragma once @@ -16,15 +17,13 @@ #include #include +#include "netgraph/core/graph.hpp" #include "netgraph/core/options.hpp" #include "netgraph/core/pred_dag.hpp" -#include "netgraph/core/strict_multidigraph.hpp" #include "netgraph/core/types.hpp" namespace netgraph::core::detail { -enum class Direction { Forward, Reverse }; - // An exact priority value: num / den with den >= 1 (den == 1 for Residual and Capacity, the // capacity for Headroom); `infinite` above every finite value (the bottleneck of an empty walk). struct Priority { @@ -34,31 +33,46 @@ struct Priority { }; [[nodiscard]] int compare(const Priority& a, const Priority& b) noexcept; // -1, 0, 1 +// The priority value of an edge with `residual` units left of `capacity`: the residual units +// (Residual), the capacity units (Capacity) or the rational residual / capacity (Headroom). +[[nodiscard]] Priority priority_value(EdgePriority priority, Amount residual, Amount capacity) noexcept; + // The per-edge priority values a search reads: `residual` empty (no residual) reads the static -// capacity for every priority; else Residual = residual units, Capacity = capacity units, -// Headroom = residual / capacity. +// capacity for every priority; else priority_value on the residual. struct PriorityValues { - const StrictMultiDiGraph* g {nullptr}; + const Graph* g {nullptr}; EdgePriority priority {EdgePriority::Capacity}; std::span residual {}; [[nodiscard]] Priority of(EdgeId e) const noexcept; }; +// select_adjacency (APPROACH 6): whether member `e` replaces `cur`, the choice so far among the +// eligible members of one (u, v) pair seen in ascending EdgeId (cur < e): the lower cost, then +// under PreferHigherPriority (`prefer`) the higher priority value; on a tie the lower EdgeId +// (cur) stays. `value(e)` reads the priority value of an edge on the view of the selection. +template +[[nodiscard]] bool replaces(const Graph& g, EdgeId e, EdgeId cur, bool prefer, const Value& value) { + const auto cost = g.cost(); + const Cost ce = cost[static_cast(e)]; + const Cost cc = cost[static_cast(cur)]; + if (ce != cc) return ce < cc; + return prefer && compare(value(e), value(cur)) > 0; +} + // The member graph (flags per edge): statically eligible, capacity >= 1 unit, residual >= -// min_residual when a residual is given; with multi_edge = false one member per (u, v): the -// minimum cost, then under PreferHigherPriority the highest priority value, then the lowest -// EdgeId (select_adjacency). -[[nodiscard]] std::vector member_mask(const StrictMultiDiGraph& g, const Eligibility* elig, +// min_residual when a residual is given; with multi_edge = false one member per (u, v) by +// select_adjacency. +[[nodiscard]] std::vector member_mask(const Graph& g, const Eligibility* elig, const PathSelection& selection, std::span residual, Amount min_residual); // Dijkstra over the members from (Forward) or toward (Reverse) the root set; kUnreachable for // the nodes it does not reach. -[[nodiscard]] std::vector distances(const StrictMultiDiGraph& g, std::span member, +[[nodiscard]] std::vector distances(const Graph& g, std::span member, std::span roots, Direction direction); // The tight edges among the reached nodes of a full search (forward-oriented), ascending. -[[nodiscard]] std::vector full_dag(const StrictMultiDiGraph& g, std::span member, +[[nodiscard]] std::vector full_dag(const Graph& g, std::span member, std::span dist, Direction direction); // The edges on the minimum-cost walks from the source set to the destination set (the walks @@ -68,30 +82,27 @@ struct TightDag { Cost cost {0}; std::vector edges {}; }; -[[nodiscard]] TightDag tight_dag(const StrictMultiDiGraph& g, std::span member, +[[nodiscard]] TightDag tight_dag(const Graph& g, std::span member, std::span sources, std::span destinations); // The staged canonical single path from the source set to the destination set over the -// members; `priority` null for Deterministic; `prefix_cap` caps B* (a Yen root prefix). +// members; `priority` null for Deterministic. struct SinglePath { std::vector walk {}; // in walk order Cost cost {0}; - std::optional bottleneck {}; // under PreferHigherPriority - std::optional b_star {}; }; -[[nodiscard]] std::optional canonical_path(const StrictMultiDiGraph& g, +[[nodiscard]] std::optional canonical_path(const Graph& g, std::span member, std::span sources, std::span destinations, - const PriorityValues* priority, - std::optional prefix_cap = std::nullopt); - -// The search of APPROACH 6 (sub-PR 1d exposes it as spf()): validates (std::invalid_argument) -// the root set (non-empty, ids in range; duplicates removed), the targets when given -// (non-empty, ids in range, disjoint from the roots), multipath = false without targets, the -// residual (length E, entries in [0, capacity_units]), min_residual >= 1 and a foreign -// Eligibility, before any work. Excluded roots and targets are skipped (all excluded: an -// empty result). Without targets: `costs` for every node and the full DAG; with targets: the + const PriorityValues* priority); + +// The search of APPROACH 6: validates (std::invalid_argument) the direction and the selection +// (enumeration values), the root set (non-empty, ids in range; duplicates removed), the targets +// when given (non-empty, ids in range, disjoint from the roots), multipath = false without +// targets, the residual (length E, entries in [0, capacity_units]), min_residual >= 1 and a +// foreign Eligibility, before any work. Excluded roots and targets are skipped (all excluded: +// an empty result). Without targets: `costs` for every node and the full DAG; with targets: the // anycast-pruned DAG (or the canonical single path for multipath = false) and `target_cost` // (nullopt when no target is reachable). struct SpfOut { @@ -100,16 +111,16 @@ struct SpfOut { std::optional target_cost {}; std::optional path {}; }; -[[nodiscard]] SpfOut spf(const StrictMultiDiGraph& g, std::span roots, Direction direction, +[[nodiscard]] SpfOut spf(const Graph& g, std::span roots, Direction direction, std::optional> targets, const PathSelection& selection, std::optional> residual, Amount min_residual, const Eligibility* elig); -// The sorted, duplicate-free node set; throws std::invalid_argument for an empty set or an id -// out of range (`name` labels the message). -[[nodiscard]] std::vector node_set(std::span nodes, std::int32_t num_nodes, const char* name); - -// Throws std::invalid_argument when the two sorted sets share a vertex (rule 13). -void check_disjoint(std::span a, std::span b); +// The full static support of a search from (Forward) or toward (Reverse) the root set: every +// tight edge of the statically eligible member graph (multipath, multi_edge, no residual) over +// the nodes it reaches, forward-oriented (APPROACH 10: the DagCache's value, and a CostOnly +// policy's DAG when it has no cache). +[[nodiscard]] PredDAG static_support(const Graph& g, std::span roots, Direction direction, + const Eligibility* elig); } // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/trace.hpp b/include/netgraph/core/detail/trace.hpp new file mode 100644 index 0000000..ecf3d64 --- /dev/null +++ b/include/netgraph/core/detail/trace.hpp @@ -0,0 +1,97 @@ +/* The transaction trace of a placement call (internal diagnostics for the tests and the + prototype parity check): a small JSON-like value whose keys follow prototype 2's trace. Built + only in a build with the private hooks, when a call asks for it (detail::place_traced). */ +#pragma once + +#include +#include +#include +#include +#include +#include + +namespace netgraph::core::detail { + +struct Trace { + enum class Kind : std::uint8_t { Null, Bool, Int, Str, List, Map }; + Kind kind {Kind::Null}; + bool b {false}; + std::int64_t i {0}; + std::string s {}; + std::vector items {}; // List + std::vector> fields {}; // Map, in insertion order + + static Trace null() { return {}; } + static Trace boolean(bool v) { + Trace t; + t.kind = Kind::Bool; + t.b = v; + return t; + } + static Trace integer(std::int64_t v) { + Trace t; + t.kind = Kind::Int; + t.i = v; + return t; + } + static Trace str(std::string v) { + Trace t; + t.kind = Kind::Str; + t.s = std::move(v); + return t; + } + static Trace list() { + Trace t; + t.kind = Kind::List; + return t; + } + static Trace map() { + Trace t; + t.kind = Kind::Map; + return t; + } + template + static Trace ints(std::span v) { + Trace t = list(); + t.items.reserve(v.size()); + for (const auto& x : v) t.items.push_back(integer(static_cast(x))); + return t; + } + template + static Trace ints(const std::vector& v) { + return ints(std::span(v)); + } + // [[a, b], ...] from pairs. + template + static Trace pairs(const std::vector>& v) { + Trace t = list(); + for (const auto& [a, x] : v) { + Trace p = list(); + p.items.push_back(integer(static_cast(a))); + p.items.push_back(integer(static_cast(x))); + t.items.push_back(std::move(p)); + } + return t; + } + + // Map: set (replacing an existing key). + Trace& set(std::string_view key, Trace v) { + kind = Kind::Map; + for (auto& [k, x] : fields) { + if (k == key) { + x = std::move(v); + return x; + } + } + fields.emplace_back(std::string(key), std::move(v)); + return fields.back().second; + } + // List: append. + Trace& push(Trace v) { + kind = Kind::List; + items.push_back(std::move(v)); + return items.back(); + } +}; + +} // namespace netgraph::core::detail diff --git a/include/netgraph/core/eligibility.hpp b/include/netgraph/core/eligibility.hpp new file mode 100644 index 0000000..c9ca76a --- /dev/null +++ b/include/netgraph/core/eligibility.hpp @@ -0,0 +1,46 @@ +/* Eligibility: which nodes and edges of one graph may be used (APPROACH 4). Constructed only by + Graph::eligibility(excluded_nodes, excluded_edges) (graph.hpp, which includes this header). */ +#pragma once + +#include +#include +#include +#include + +#include "netgraph/core/types.hpp" + +namespace netgraph::core { + +class Graph; + +// Immutable, graph-bound static eligibility: dense node and edge flags. An edge is allowed when +// it is not excluded and both of its endpoints are allowed. +class Eligibility { +public: + [[nodiscard]] std::uint64_t graph_uid() const noexcept { return graph_uid_; } + // 0 for the all-allowed value; a fresh uid otherwise. + [[nodiscard]] std::uint64_t uid() const noexcept { return uid_; } + [[nodiscard]] std::span node_allowed() const noexcept { return node_allowed_; } + [[nodiscard]] std::span edge_allowed() const noexcept { return edge_allowed_; } + [[nodiscard]] bool node_ok(NodeId v) const noexcept { + return node_allowed_[static_cast(v)] != 0; + } + [[nodiscard]] bool edge_ok(EdgeId e) const noexcept { + return edge_allowed_[static_cast(e)] != 0; + } + // The intersection of two values of one graph (std::invalid_argument for values of different + // graphs): an operand when the result equals it (a first, then b), keeping that operand's + // uid, so a consumer builds each state once and reuses it; otherwise a new value with a fresh + // uid (equal intersections built separately get distinct uids). + [[nodiscard]] static Eligibility intersect(const Eligibility& a, const Eligibility& b); + +private: + friend class Graph; + Eligibility() = default; + std::uint64_t graph_uid_ {0}; + std::uint64_t uid_ {0}; + std::vector node_allowed_ {}; + std::vector edge_allowed_ {}; +}; + +} // namespace netgraph::core diff --git a/include/netgraph/core/evaluators.hpp b/include/netgraph/core/evaluators.hpp new file mode 100644 index 0000000..dca860f --- /dev/null +++ b/include/netgraph/core/evaluators.hpp @@ -0,0 +1,89 @@ +/* The evaluators of APPROACH 11: capacity (a FlowPolicy placement of +inf on a fresh ledger; the + exact maximum flow is capacity() with routing Global and placement MaxFlow), batch_capacity + (capacity per pair) and sensitivity (the loss of deleting each candidate edge). */ +#pragma once + +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/dag_cache.hpp" +#include "netgraph/core/flow_policy.hpp" +#include "netgraph/core/graph.hpp" +#include "netgraph/core/types.hpp" + +namespace netgraph::core { + +// The configuration, the static Eligibility, the DagCache and the optional outputs of one +// evaluation (the Eligibility and the cache outlive the call). +struct CapacityOptions { + FlowPolicyConfig cfg; + const Eligibility* elig {nullptr}; + DagCache* cache {nullptr}; + OutputOptions outputs {}; +}; +// The same fields; `outputs` apply to the baseline. +struct SensitivityOptions { + FlowPolicyConfig cfg; + const Eligibility* elig {nullptr}; + DagCache* cache {nullptr}; + OutputOptions outputs {}; +}; + +enum class SensitivityStatus { Evaluated, Unevaluable }; + +// One candidate edge: loss = baseline placed - placed without the edge (signed, in units, never +// thresholded); an unevaluable deletion has no loss and the model exception's message in reason. +struct SensitivityEntry { + EdgeId edge {0}; + std::optional loss {}; + SensitivityStatus status {SensitivityStatus::Evaluated}; + std::string reason {}; +}; + +struct SensitivityResult { + PlacementResult baseline {}; + std::vector entries {}; // ascending EdgeId; an absent edge has loss 0 +}; + +// place(+inf) of a FlowPolicy with opts.cfg on a fresh ledger of g (its capacities). +[[nodiscard]] PlacementResult capacity(const Graph& g, std::span sources, + std::span destinations, const CapacityOptions& opts); + +// capacity() per pair, in pair order, with opts.elig intersected with per_pair_elig[i] (null +// entries allowed; an empty span means none: the Python binding checks the length of every +// sequence it is given). Validated before any worker starts, the arguments first (workers >= 1, +// opts.elig's and the cache's graph, a supplied cache only with workers == 1: a building cache +// has one writer; Pinned rejected: bundles bind endpoints; the per_pair_elig length; the +// configuration), then each pair completely in pair order (its endpoint sets, their overlap, +// its Eligibility's graph), so the lowest failing pair index is reported. Without a supplied +// cache each worker owns a private building cache, allocated before any thread starts. A worker +// exception aborts the batch and the exception of the lowest pair index is raised; an empty +// batch returns an empty list. +[[nodiscard]] std::vector batch_capacity( + const Graph& g, const std::vector, std::vector>>& pairs, + const CapacityOptions& opts, std::span per_pair_elig, std::int32_t workers); + +// The baseline capacity() and one entry per candidate edge: under Global the edges with +// positive flow in the baseline; under every other model every edge opts.elig allows with at +// least 1 unit of static capacity. A loss is the baseline's placed minus the placed amount of +// capacity() with the edge deleted (opts.elig without it; the same configuration and cache). +// Global evaluates a deletion by the flow core's deletion re-solve from the baseline solve's +// final state (APPROACH 2.2: the minimum-cost flow of the maximum value without the edge, that +// value exactly), on one copy of the state per worker; an exact deletion on valid inputs always +// has an optimum, so any failure there propagates. CostOnly gives an edge outside every roster +// source's reachable part of the static support loss 0 without a placement, a result-equivalent +// predicate (no route uses the edge, so the deletion changes no route and no amount); every +// other deletion is placed on a fresh ledger, where a model exception (std::runtime_error) makes +// the entry unevaluable with its message as the reason. Every other exception propagates (the +// lowest candidate's). Workers and the cache +// rule as batch_capacity; a worker's private cache is cleared per candidate (fresh Eligibility +// uids never hit). +[[nodiscard]] SensitivityResult sensitivity(const Graph& g, std::span sources, + std::span destinations, const SensitivityOptions& opts, + std::int32_t workers); + +} // namespace netgraph::core diff --git a/include/netgraph/core/flow_graph.hpp b/include/netgraph/core/flow_ledger.hpp similarity index 83% rename from include/netgraph/core/flow_graph.hpp rename to include/netgraph/core/flow_ledger.hpp index a02adfc..cdd421f 100644 --- a/include/netgraph/core/flow_graph.hpp +++ b/include/netgraph/core/flow_ledger.hpp @@ -1,4 +1,4 @@ -/* The integer ledger FlowGraph (APPROACH 8). */ +/* The integer ledger FlowLedger (APPROACH 8). */ #pragma once #include @@ -9,8 +9,8 @@ #include #include -#include "netgraph/core/flow.hpp" -#include "netgraph/core/strict_multidigraph.hpp" +#include "netgraph/core/flow_record.hpp" +#include "netgraph/core/graph.hpp" #include "netgraph/core/types.hpp" namespace netgraph::core { @@ -31,20 +31,20 @@ struct LedgerAccess; // ledger is empty and unusable (every call throws std::logic_error). A policy destroyed // without remove() leaves its records and allocations as orphans (readable, never changed // again) until reset(). -class FlowGraph { +class FlowLedger { public: // `residual`: the baseline in units, one entry per edge in [0, capacity_units[e]] // (std::invalid_argument otherwise); absent: the capacities. - explicit FlowGraph(std::shared_ptr graph); - FlowGraph(std::shared_ptr graph, std::span residual); - FlowGraph(const FlowGraph& other); - FlowGraph(FlowGraph&& other); - FlowGraph& operator=(const FlowGraph&) = delete; - FlowGraph& operator=(FlowGraph&&) = delete; - ~FlowGraph() = default; + explicit FlowLedger(std::shared_ptr graph); + FlowLedger(std::shared_ptr graph, std::span residual); + FlowLedger(const FlowLedger& other); + FlowLedger(FlowLedger&& other); + FlowLedger& operator=(const FlowLedger&) = delete; + FlowLedger& operator=(FlowLedger&&) = delete; + ~FlowLedger() = default; [[nodiscard]] std::uint64_t uid() const; - [[nodiscard]] const std::shared_ptr& graph() const; + [[nodiscard]] const std::shared_ptr& graph() const; // The graph's static capacities (the ledger's view of them). [[nodiscard]] std::span capacity_units() const; [[nodiscard]] std::vector residual() const; @@ -68,7 +68,7 @@ class FlowGraph { void check_usable() const; std::vector checked_baseline(std::span residual) const; - std::shared_ptr graph_ {}; + std::shared_ptr graph_ {}; std::uint64_t uid_ {0}; bool usable_ {true}; std::vector baseline_ {}; diff --git a/include/netgraph/core/flow_policy.hpp b/include/netgraph/core/flow_policy.hpp new file mode 100644 index 0000000..588bba2 --- /dev/null +++ b/include/netgraph/core/flow_policy.hpp @@ -0,0 +1,160 @@ +/* The policy engine FlowPolicy (APPROACH 8 and 9). */ +#pragma once + +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/dag_cache.hpp" +#include "netgraph/core/flow_ledger.hpp" +#include "netgraph/core/flow_record.hpp" +#include "netgraph/core/graph.hpp" +#include "netgraph/core/options.hpp" +#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/types.hpp" + +namespace netgraph::core { + +namespace detail { +struct PolicyEngine; +struct PolicyAccess; +} // namespace detail + +// CapacityAware creations per call (stage 1 and accepted growth, across sources) before the +// call stops with limit_flows (APPROACH 9.2): an engine constant. +inline constexpr std::int64_t kMaxFlowsPerCall = 10000; + +// The diminishing-returns guard of CapacityAware growth: stop when at least `window` growth +// steps were accepted in the call and the last `window` gains sum below `fraction` times the +// source's offer (finite offers only). window >= 1, fraction in (0, 1). +struct DiminishingReturns { + std::int32_t window {1}; + double fraction {0.5}; +}; + +// The routing modes (APPROACH 9.1): a field exists only in the variant it applies to. +// CostOnly: IGP forwarding, one flow per source on the static shortest-path DAG (or its +// canonical single path), never refreshed, grown or reoptimised. +// CapacityAware: distributed CSPF tunnels: flow_count flows created by the canonical search on +// the selection view, grown up to max_flow_count (absent: no ceiling), gated by +// min_flow_bandwidth (units) and the max_path_cost ceiling, optionally reoptimised and guarded +// by `diminishing` (absent: off). +// Global: the omniscient controller, the minimum-cost flow of the cumulative value over the +// whole eligible graph (a replacement kernel; placement MaxFlow only). +// Pinned: explicit route structures, one flow per usable bundle in supply order (single +// endpoints; a Path converts with to_dag()). +struct CostOnly {}; +struct CapacityAware { + std::int32_t flow_count {1}; + std::optional max_flow_count {}; + std::optional max_path_cost {}; + Amount min_flow_bandwidth {0}; + bool reoptimize {false}; + std::optional diminishing {}; +}; +struct Global {}; +struct Pinned { + std::vector> bundles {}; +}; +using Routing = std::variant; + +// The four outer axes are explicit (no defaults). Global and Pinned read selection.priority only +// for the Weighted kernel (membership and weights) and ignore the rest; CostOnly and +// CapacityAware read all four fields (APPROACH 9). The constructor rejects a placement, +// admission or selection field outside its enumeration (std::invalid_argument naming the field; +// rule 13); the fields stay assignable, so the policy and the evaluators check them again with +// the combination rules. +struct FlowPolicyConfig { + FlowPolicyConfig(Routing routing_, FlowPlacement placement_, Admission admission_, PathSelection selection_); + Routing routing; + FlowPlacement placement; + Admission admission; + PathSelection selection; +}; + +// Optional outputs of a placement (absent unless requested): edge_flows (this policy's own +// allocation per edge after the call), residual and bottleneck (the ledger's after the call), +// and on Global the min_cut of the solve when bottleneck is requested. +struct OutputOptions { + bool edge_flows {false}; + bool residual {false}; + bool bottleneck {false}; +}; + +// The local outcome of a source and the call's termination (APPROACH 9.4). +enum class Termination { Complete, LimitFlows, LimitDiminishing, NoRoute, Exhausted }; + +// The result of one placement call: the deltas of this call (placed, remaining = request - +// placed, nullopt for +inf; drops = this call's transit drops), the termination and one local +// outcome per roster source (ascending NodeId), the two flags of the 9.4 table; Global adds the +// marginal cost curve of its cumulative solve. The optional outputs are present when requested. +struct PlacementResult { + Amount placed {0}; + std::optional remaining {}; + Termination termination {Termination::Complete}; + std::vector> local_outcomes {}; + bool routes_changed {false}; + bool weights_changed {false}; + std::vector> drops {}; + std::optional>> cost_distribution {}; + std::optional> edge_flows {}; + std::optional> residual {}; + std::optional> bottleneck {}; + // Global with bottleneck requested: the full-residual cut when the solve was maximal on its + // view (an empty roster's maximal flow 0 has the empty cut); nullopt otherwise: not requested, + // not Global, a solve stopped by its cap, or a zero call (nothing is solved). + std::optional> min_cut {}; +}; + +// The one placement engine (APPROACH 9). A policy binds to its ledger at construction and is the +// only way flows enter it: place() runs the transaction of 9.2 and commits one atomic exchange; +// remove() reverts every flow of the policy, retires the ids and opens a new epoch; destroying a +// policy without remove() leaves its records in the ledger as orphans. +// +// Validation (std::invalid_argument, before anything binds): the endpoint sets (non-empty, ids +// in range, disjoint), a foreign Eligibility or DagCache, the configuration (enumeration values; +// Lossy with MaxFlow, Global or CapacityAware; Global without MaxFlow; Weighted with Headroom; +// flow_count >= 1; max_flow_count >= flow_count; min_flow_bandwidth >= 0; the ceiling; the +// diminishing guard; Pinned: single endpoints, a non-empty bundle list of this graph without +// duplicates, every bundle with a src -> dst walk before pruning). place() validates the +// request ([0, 2^62) units or +inf; a finite request after +inf in the epoch is rejected, also +// 0) before any change. +// +// Lifetime: the ledger, the Eligibility and the DagCache outlive the policy (the policy holds +// pointers to them). The roster (the eligible sources that statically reach an allowed +// destination) and, for Pinned, the usable bundles are fixed at construction. +class FlowPolicy { +public: + FlowPolicy(FlowLedger& ledger, std::span sources, std::span destinations, + FlowPolicyConfig config, const Eligibility* elig = nullptr, DagCache* cache = nullptr); + FlowPolicy(const FlowPolicy&) = delete; + FlowPolicy& operator=(const FlowPolicy&) = delete; + FlowPolicy(FlowPolicy&&) = delete; + FlowPolicy& operator=(FlowPolicy&&) = delete; + ~FlowPolicy(); + + // volume: units, nullopt is +inf. + PlacementResult place(std::optional volume, const OutputOptions& outputs = {}); + void remove(); + // The sum of delivered over this policy's live records. + [[nodiscard]] Amount placed_demand() const; + // This policy's live records as snapshots in FlowId order. + [[nodiscard]] std::vector records() const; + // One of this policy's live records; a FlowId of another ledger or policy, a retired or an + // unknown id throws std::invalid_argument. + [[nodiscard]] FlowRecord record(const FlowId& flow_id) const; + // Pinned: the number of bundles with a src -> dst walk after static pruning; 0 otherwise. + [[nodiscard]] std::int32_t usable_bundles() const noexcept; + // The configuration (a copy taken at construction). + [[nodiscard]] const FlowPolicyConfig& config() const noexcept; + +private: + friend struct detail::PolicyAccess; + std::unique_ptr engine_; +}; + +} // namespace netgraph::core diff --git a/include/netgraph/core/flow.hpp b/include/netgraph/core/flow_record.hpp similarity index 69% rename from include/netgraph/core/flow.hpp rename to include/netgraph/core/flow_record.hpp index 9c62689..b3b8c3f 100644 --- a/include/netgraph/core/flow.hpp +++ b/include/netgraph/core/flow_record.hpp @@ -1,35 +1,22 @@ -/* Placement kinds, flow identities and ledger records (APPROACH 7 and 8). */ +/* Flow identities, the 128-bit counter and the ledger records (APPROACH 8). */ #pragma once #include -#include #include #include #include #include +#include "netgraph/core/options.hpp" #include "netgraph/core/pred_dag.hpp" #include "netgraph/core/types.hpp" namespace netgraph::core { -// The kernel that computes one flow's pushes on its DAG: MaxFlow (the flow core of the -// minimum-cost flow restricted to the flow's split graph, a replacement on V = W + own), -// Weighted (hop-by-hop WCMP: highest-averages apportionment over frozen weights at every node) -// and EqualBalanced (ECMP: round robin at every node). -enum class FlowPlacement { MaxFlow, Weighted, EqualBalanced }; - -// Lossless admits only what fits; Lossy forwards hop by hop without admission control and -// drops what does not fit on each edge (EqualBalanced and Weighted only). -enum class Admission { Lossless, Lossy }; - -// The path-cost sentinel of an unreachable node or an empty route (None in Python). -inline constexpr Cost kUnreachable = std::numeric_limits::max(); - // (ledger uid, id): ids are assigned by the ledger in creation order and never reused. using FlowId = std::pair; -// A cumulative counter (offered, per-edge drops): a sum over calls, kept in 128 bits as +// A cumulative counter (offered, per-edge drops): a sum over calls, the 128-bit value // hi * 2^64 + lo, always below 2^127 (APPROACH 2.1, 2.3). struct Counter128 { std::uint64_t hi {0}; diff --git a/include/netgraph/core/strict_multidigraph.hpp b/include/netgraph/core/graph.hpp similarity index 66% rename from include/netgraph/core/strict_multidigraph.hpp rename to include/netgraph/core/graph.hpp index 0a43345..f657d56 100644 --- a/include/netgraph/core/strict_multidigraph.hpp +++ b/include/netgraph/core/graph.hpp @@ -5,12 +5,11 @@ #include #include +#include "netgraph/core/eligibility.hpp" #include "netgraph/core/types.hpp" namespace netgraph::core { -class Eligibility; - // Converts a physical value to units of the resolution q, rounding half up. The only way a // physical number enters Core. Throws std::invalid_argument for NaN, infinity, a negative value, // a result at or above the domain bound 2^62, or a resolution that is not a power of two in @@ -36,19 +35,19 @@ class Eligibility; // // A copy is a new graph: same ids and input map, a new uid. Uids come from one process-wide // 64-bit counter and are never reused. -class StrictMultiDiGraph { +class Graph { public: - StrictMultiDiGraph(std::int32_t num_nodes, - std::span src, - std::span dst, - std::span capacity_units, - std::span cost, - double resolution); - StrictMultiDiGraph(const StrictMultiDiGraph& other); - StrictMultiDiGraph(StrictMultiDiGraph&& other) noexcept; - StrictMultiDiGraph& operator=(const StrictMultiDiGraph&) = delete; - StrictMultiDiGraph& operator=(StrictMultiDiGraph&&) = delete; - ~StrictMultiDiGraph() noexcept = default; + Graph(std::int32_t num_nodes, + std::span src, + std::span dst, + std::span capacity_units, + std::span cost, + double resolution); + Graph(const Graph& other); + Graph(Graph&& other) noexcept; + Graph& operator=(const Graph&) = delete; + Graph& operator=(Graph&&) = delete; + ~Graph() noexcept = default; [[nodiscard]] std::uint64_t uid() const noexcept { return uid_; } [[nodiscard]] double resolution() const noexcept { return resolution_; } @@ -74,7 +73,8 @@ class StrictMultiDiGraph { [[nodiscard]] std::span in_adj_edge_index() const noexcept { return in_adj_edge_index_; } // Static eligibility from excluded ids (duplicates and unsorted lists accepted, out-of-range - // ids rejected). Empty lists mean all allowed (uid 0). + // ids rejected). Empty lists mean all allowed (uid 0). The one public construction of an + // Eligibility (eligibility.hpp). [[nodiscard]] Eligibility eligibility(std::span excluded_nodes = {}, std::span excluded_edges = {}) const; @@ -94,34 +94,4 @@ class StrictMultiDiGraph { std::vector in_adj_edge_index_ {}; }; -// Immutable, graph-bound static eligibility: dense node and edge flags. An edge is allowed when -// it is not excluded and both of its endpoints are allowed. -class Eligibility { -public: - [[nodiscard]] std::uint64_t graph_uid() const noexcept { return graph_uid_; } - // 0 for the all-allowed value; a fresh uid otherwise. - [[nodiscard]] std::uint64_t uid() const noexcept { return uid_; } - [[nodiscard]] std::span node_allowed() const noexcept { return node_allowed_; } - [[nodiscard]] std::span edge_allowed() const noexcept { return edge_allowed_; } - [[nodiscard]] bool node_ok(NodeId v) const noexcept { - return node_allowed_[static_cast(v)] != 0; - } - [[nodiscard]] bool edge_ok(EdgeId e) const noexcept { - return edge_allowed_[static_cast(e)] != 0; - } - // The intersection of two values of one graph (std::invalid_argument for values of different - // graphs): an operand when the result equals it (a first, then b), keeping that operand's - // uid, so a consumer builds each state once and reuses it; otherwise a new value with a fresh - // uid (equal intersections built separately get distinct uids). - [[nodiscard]] static Eligibility intersect(const Eligibility& a, const Eligibility& b); - -private: - friend class StrictMultiDiGraph; - Eligibility() = default; - std::uint64_t graph_uid_ {0}; - std::uint64_t uid_ {0}; - std::vector node_allowed_ {}; - std::vector edge_allowed_ {}; -}; - } // namespace netgraph::core diff --git a/include/netgraph/core/max_flow.hpp b/include/netgraph/core/max_flow.hpp deleted file mode 100644 index 2fc7052..0000000 --- a/include/netgraph/core/max_flow.hpp +++ /dev/null @@ -1,61 +0,0 @@ -/* The one integer minimum-cost flow core (APPROACH 2.2). */ -#pragma once - -#include -#include -#include -#include -#include - -#include "netgraph/core/strict_multidigraph.hpp" -#include "netgraph/core/types.hpp" - -namespace netgraph::core { - -// Potential of a vertex that no Dijkstra run of the call settled. Potentials are otherwise -// non-negative path costs, so the sentinel never collides. -inline constexpr Cost kNeverReached = -1; -// Upper bound of the internal value cap; also the capacity of the virtual source and sink arcs, -// strictly above every attainable value (below 2^62), so a virtual arc never saturates. -inline constexpr Amount kMaxFlowCap = INT64_MAX - 1; - -// Operation counters of one call: diagnostics for the performance gate's drift check, identical -// across identical calls, never an oracle. Virtual vertices and arcs count like real ones. -struct FlowCoreCounters { - std::int64_t dijkstra_runs {0}; // every run, the final failed one included - std::int64_t dijkstra_pops {0}; // heap pops, stale ones included - std::int64_t settled {0}; // vertices finalised, summed over runs - std::int64_t arc_scans {0}; // arcs examined by Dijkstra, Dinic BFS and DFS advance - std::int64_t dinic_phases {0}; // BFS level builds, the last unsuccessful one of a tier included - std::int64_t augmentations {0}; // DFS paths pushed -}; - -// The private payload of _place_global_units. -struct FlowCoreResult { - Amount placed {0}; - // The marginal cost curve: (cost, units) with costs strictly increasing and units positive. - std::vector> cost_distribution {}; - std::vector edge_flows {}; // per edge, id order - // Edges with positive view from the full residual closure of the real sources to its - // complement, ascending id; nullopt while the destinations stay connected (a cap stopped the - // solve) and on an input cap of 0. - std::optional> min_cut {}; - std::vector potentials {}; // per node; kNeverReached when never settled - FlowCoreCounters counters {}; -}; - -// Minimum-cost flow of the maximum value attainable under `cap` from the source set to the -// destination set over the eligible edges, on the capacities `view` (units, id order). Every -// solve starts from zero flow. `cap` nullopt is uncapped; an input cap of 0 returns the zero -// payload without running a search. Throws std::invalid_argument before any work for a view of -// the wrong length or with an entry outside [0, capacity_units[e]], an empty or out-of-range -// endpoint set, a vertex in both sets, a cap outside [0, 2^63 - 2], or a foreign Eligibility. -// Excluded endpoints are skipped. -[[nodiscard]] FlowCoreResult place_global_units(const StrictMultiDiGraph& g, - std::span view, - std::span sources, - std::span destinations, - const Eligibility* elig, - std::optional cap); - -} // namespace netgraph::core diff --git a/include/netgraph/core/options.hpp b/include/netgraph/core/options.hpp index 96cbf27..7fae6bc 100644 --- a/include/netgraph/core/options.hpp +++ b/include/netgraph/core/options.hpp @@ -1,8 +1,31 @@ -/* Route selection axes shared by the searches and the policies (APPROACH 6). */ +/* The shared small option types: the selection axes of the searches and the policies (APPROACH 6) + and the placement kinds of the kernels (APPROACH 7). Component configurations and result + statuses stay with their component. */ #pragma once +#include + +#include "netgraph/core/types.hpp" + namespace netgraph::core { +// The orientation of a search: Forward from the roots, or Reverse (rooted at the roots over +// reversed arcs; the DAG it returns is forward-oriented, toward the roots). +enum class Direction { Forward, Reverse }; + +// One cost ceiling knob (APPROACH 6): an Absolute cost budget (inclusive, >= 0), or a Stretch +// factor (in [1, inf)) of the static shortest cost under the given Eligibility, read as the exact +// dyadic rational it is and compared without rounding. +struct Absolute { + Cost cost {0}; + friend bool operator==(const Absolute&, const Absolute&) = default; +}; +struct Stretch { + double factor {1.0}; + friend bool operator==(const Stretch&, const Stretch&) = default; +}; +using CostCeiling = std::variant; + // How ties between equal-cost candidates are broken, at both tie levels: the member chosen // among parallel edges of one (u, v) pair and the single path chosen among equal-cost walks. // Deterministic ignores capacities entirely (the lowest EdgeId wins); PreferHigherPriority @@ -19,10 +42,12 @@ enum class EdgePriority { Residual, Capacity, Headroom }; // instead of the one canonical single path; `multi_edge` keeps every eligible parallel member // of a (u, v) pair instead of the one chosen by (minimum cost, priority under // PreferHigherPriority, lowest EdgeId). tie_break and priority have no default (APPROACH 9: an -// outer axis is explicit); the two flags default to the plain form of their mechanism. +// outer axis is explicit); the two flags default to the plain form of their mechanism. The +// constructor rejects a tie_break or priority outside its enumeration (std::invalid_argument +// naming the field; rule 13); the fields stay assignable, so every entry that reads a selection +// checks it again. struct PathSelection { - PathSelection(EdgeTieBreak tie_break_, EdgePriority priority_, bool multipath_ = true, bool multi_edge_ = true) - : tie_break(tie_break_), priority(priority_), multipath(multipath_), multi_edge(multi_edge_) {} + PathSelection(EdgeTieBreak tie_break_, EdgePriority priority_, bool multipath_ = true, bool multi_edge_ = true); EdgeTieBreak tie_break; EdgePriority priority; bool multipath; @@ -30,4 +55,14 @@ struct PathSelection { friend bool operator==(const PathSelection&, const PathSelection&) = default; }; +// The kernel that computes one flow's pushes on its DAG: MaxFlow (the flow core of the +// minimum-cost flow restricted to the flow's split graph, a replacement on V = W + own), +// Weighted (hop-by-hop WCMP: highest-averages apportionment over frozen weights at every node) +// and EqualBalanced (ECMP: round robin at every node). +enum class FlowPlacement { MaxFlow, Weighted, EqualBalanced }; + +// Lossless admits only what fits; Lossy forwards hop by hop without admission control and +// drops what does not fit on each edge (EqualBalanced and Weighted only). +enum class Admission { Lossless, Lossy }; + } // namespace netgraph::core diff --git a/include/netgraph/core/pred_dag.hpp b/include/netgraph/core/pred_dag.hpp index 3c7442f..2660201 100644 --- a/include/netgraph/core/pred_dag.hpp +++ b/include/netgraph/core/pred_dag.hpp @@ -5,7 +5,7 @@ #include #include -#include "netgraph/core/strict_multidigraph.hpp" +#include "netgraph/core/graph.hpp" #include "netgraph/core/types.hpp" namespace netgraph::core { @@ -20,32 +20,39 @@ struct PredDAGBuilder; // strictly ascending via EdgeId, so a DAG value has one canonical form. Equality is structural // (same graph, same CSR). Every API that takes a route structure takes a PredDAG; a DAG of // another graph is rejected wherever it is used. +// +// Storage is sparse (APPROACH 8, revision 27): the entries are kept per member node (the nodes +// with at least one entry, ascending, and their offsets), never as an N + 1 offsets array, so a +// flow's bundle costs O(its entries) whatever the graph's size. parent_offsets() presents the +// from_csr shape on demand (a fresh N + 1 array); parents() and via_edges() are the stored +// entries (grouped by node in ascending NodeId), which are the same arrays in both forms. class PredDAG { public: // Validates, in this order, before any traversal (std::invalid_argument on the first defect): // offsets of length N + 1, offsets[0] == 0, monotone, offsets[N] == len(parents) == // len(via); then every parent and via in range, every via joining (parent, child), no // duplicate (child, via), acyclic; within a node the entries in ascending via EdgeId. - [[nodiscard]] static PredDAG from_csr(const StrictMultiDiGraph& g, std::span offsets, + [[nodiscard]] static PredDAG from_csr(const Graph& g, std::span offsets, std::span parents, std::span via); [[nodiscard]] std::uint64_t graph_uid() const noexcept { return graph_uid_; } - [[nodiscard]] std::int32_t num_nodes() const noexcept { return static_cast(offsets_.size()) - 1; } - [[nodiscard]] std::span parent_offsets() const noexcept { return offsets_; } + // The from_csr offsets (N + 1 entries), built on demand from the sparse storage. + [[nodiscard]] std::vector parent_offsets() const; [[nodiscard]] std::span parents() const noexcept { return parents_; } [[nodiscard]] std::span via_edges() const noexcept { return via_; } - // The member edges in ascending EdgeId. - [[nodiscard]] std::vector edges() const { return edges_; } friend bool operator==(const PredDAG& a, const PredDAG& b) noexcept { - return a.graph_uid_ == b.graph_uid_ && a.offsets_ == b.offsets_ && a.parents_ == b.parents_ && a.via_ == b.via_; + return a.graph_uid_ == b.graph_uid_ && a.num_nodes_ == b.num_nodes_ && a.nodes_ == b.nodes_ && + a.node_offsets_ == b.node_offsets_ && a.parents_ == b.parents_ && a.via_ == b.via_; } private: friend struct detail::PredDAGBuilder; PredDAG() = default; std::uint64_t graph_uid_ {0}; - std::vector offsets_ {0}; + std::int32_t num_nodes_ {0}; + std::vector nodes_ {}; // nodes with entries, ascending + std::vector node_offsets_ {0}; // nodes_.size() + 1: the entries of nodes_[i] std::vector parents_ {}; std::vector via_ {}; std::vector edges_ {}; // via_ in ascending EdgeId (derived once, at construction) @@ -59,14 +66,12 @@ class Path { // Validates, in this order (std::invalid_argument on the first defect): every member id in // range (before any endpoint is read), no duplicate member, a non-empty hop list, every hop // non-empty, the members of a hop sharing (u, v), contiguous hops, no repeated node. - Path(const StrictMultiDiGraph& g, std::vector> hops); + Path(const Graph& g, std::vector> hops); [[nodiscard]] std::uint64_t graph_uid() const noexcept { return graph_uid_; } [[nodiscard]] const std::vector>& hops() const noexcept { return hops_; } [[nodiscard]] NodeId src() const noexcept { return nodes_.front(); } [[nodiscard]] NodeId dst() const noexcept { return nodes_.back(); } - // The visited nodes, src first (hops + 1 entries). - [[nodiscard]] const std::vector& nodes() const noexcept { return nodes_; } [[nodiscard]] Cost cost() const noexcept { return cost_; } // The equivalent PredDAG (every member of every hop; entries in ascending via EdgeId). [[nodiscard]] PredDAG to_dag() const; diff --git a/include/netgraph/core/profiling.hpp b/include/netgraph/core/profiling.hpp deleted file mode 100644 index 19b9287..0000000 --- a/include/netgraph/core/profiling.hpp +++ /dev/null @@ -1,116 +0,0 @@ -/* Simple profiling utilities for performance analysis. - -Enable via environment variable: NGRAPH_CORE_PROFILE=1 - -When disabled (default), each instrumented scope costs one cached-bool check. - -Usage: - #include "netgraph/core/profiling.hpp" - - void my_function() { - NGRAPH_PROFILE_SCOPE("my_function"); - // ... function body ... - } - -From Python: the accessors return with the diagnostics module of the streamlined API -(sub-PR 1d); until then the statistics are reachable from C++ only. -*/ -#pragma once - -#include -#include -#include -#include -#include -#include -#include -#include - -namespace netgraph::core { - -// Check once at startup, cache result. Returns true if NGRAPH_CORE_PROFILE=1. -// Defined in profiling.cpp to avoid ODR violations with static library linking. -bool profiling_enabled() noexcept; - -// Singleton collecting profiling statistics. -class ProfilingStats { -public: - // Defined in profiling.cpp to avoid ODR violations with static library linking. - static ProfilingStats& instance(); - - void record(const char* name, double micros); - void dump() const { dump(std::cerr); } - void dump(std::ostream& out) const; - void reset(); - -private: - ProfilingStats() = default; - struct Entry { - double total_us = 0; - int64_t count = 0; - double min_us = 1e18; - double max_us = 0; - }; - - class LocalStats { - public: - explicit LocalStats(ProfilingStats& owner); - ~LocalStats(); - - void record(const char* name, double micros); - void append_to(std::unordered_map& out) const; - void clear(); - - private: - ProfilingStats& owner_; - mutable std::mutex mutex_; - std::unordered_map stats_; - }; - - LocalStats& local_stats(); - void register_local(LocalStats* local); - void finalize_local(LocalStats* local); - static void merge_entry(Entry& dst, const Entry& src); - std::unordered_map snapshot_unlocked() const; - - mutable std::mutex mutex_; - std::vector active_locals_; - std::unordered_map finished_stats_; -}; - -// RAII timer. Does nothing if name is nullptr. -class ScopedTimer { -public: - explicit ScopedTimer(const char* name) noexcept : name_(name) { - if (name_) { - start_ = std::chrono::high_resolution_clock::now(); - } - } - - ~ScopedTimer() { - if (name_) { - auto end = std::chrono::high_resolution_clock::now(); - double us = std::chrono::duration(end - start_).count(); - ProfilingStats::instance().record(name_, us); - } - } - - ScopedTimer(const ScopedTimer&) = delete; - ScopedTimer& operator=(const ScopedTimer&) = delete; - -private: - const char* name_; - std::chrono::high_resolution_clock::time_point start_; -}; - -// Concatenate tokens for unique variable names -#define NGRAPH_CONCAT_IMPL(a, b) a##b -#define NGRAPH_CONCAT(a, b) NGRAPH_CONCAT_IMPL(a, b) - -// Main profiling macro. Expands to a ScopedTimer only if profiling is enabled; -// when disabled the timer is constructed with a null name and does no work. -#define NGRAPH_PROFILE_SCOPE(name) \ - ::netgraph::core::ScopedTimer NGRAPH_CONCAT(_ngraph_timer_, __LINE__)( \ - ::netgraph::core::profiling_enabled() ? (name) : nullptr) - -} // namespace netgraph::core diff --git a/include/netgraph/core/types.hpp b/include/netgraph/core/types.hpp index af7efd5..916adef 100644 --- a/include/netgraph/core/types.hpp +++ b/include/netgraph/core/types.hpp @@ -2,12 +2,13 @@ #pragma once #include +#include namespace netgraph::core { // Node and edge identifiers are signed 32-bit integers. An EdgeId is the rank of the edge in // the stable order (src, cost, dst, input) of its graph (layout B'); the input position of an -// edge is StrictMultiDiGraph::input_index()[e]. +// edge is Graph::input_index()[e]. using NodeId = std::int32_t; using EdgeId = std::int32_t; // Edge and path costs: positive integers, never converted. @@ -20,4 +21,8 @@ using Amount = std::int64_t; // all edge costs stay below 2^62. inline constexpr std::int64_t kDomainLimit = std::int64_t{1} << 62; +// The path-cost sentinel of an unreachable node or an empty route (None in Python). Costs are +// positive and their sum is below 2^62, so no path cost reaches it. +inline constexpr Cost kUnreachable = std::numeric_limits::max(); + } // namespace netgraph::core diff --git a/pyproject.toml b/pyproject.toml index 7f9a41a..472a411 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -55,11 +55,16 @@ sdist.exclude = ["dev/"] # Include Python sources from the "python/" directory wheel.packages = ["python/netgraph_core"] -[tool.scikit-build.cmake.define] -# No optional backends yet; defaults are built-in CPU-only +[[tool.scikit-build.overrides]] +# The editable development build carries the private test hooks (CMake option +# NETGRAPH_CORE_PRIVATE_HOOKS); a wheel or sdist build does not. +if.state = "^editable$" +cmake.define.NETGRAPH_CORE_PRIVATE_HOOKS = "ON" [tool.pytest.ini_options] addopts = "-q" +# pytest without arguments collects the repository tests only, not saved evidence under dev/. +testpaths = ["tests"] markers = ["slow: marks tests as slow (deselect with '-m \"not slow\"')"] [tool.ruff] diff --git a/python/netgraph_core/__init__.py b/python/netgraph_core/__init__.py index d3a7b89..2b9ee44 100644 --- a/python/netgraph_core/__init__.py +++ b/python/netgraph_core/__init__.py @@ -4,14 +4,17 @@ downstream users import everything from a single place. Typing shims supplied in ``_docs.py`` keep editors happy without affecting runtime behavior. -The streamlined Core is being rebuilt in sub-PRs (``dev/design/2026-10-streamline``): -this build carries the graph on integer units (``StrictMultiDiGraph``, -``Eligibility`` with ``intersect``, ``to_units``, ``as_float``), the route structures -(``PredDAG``, ``Path``), the selection and placement axes (``PathSelection``, -``EdgeTieBreak``, ``EdgePriority``, ``FlowPlacement``, ``Admission``) and the integer -ledger (``FlowGraph`` with its ``FlowRecord`` snapshots), plus the private entries -of the flow core, the kernels and the internal search in ``_netgraph_core``; the -policies, the public searches and the evaluators return in the following sub-PRs. +The package carries the graph on integer units (``Graph``, ``Eligibility`` +with ``intersect``, ``to_units``, ``as_float``), the route structures (``PredDAG``, +``Path``), the selection and placement axes (``PathSelection``, ``EdgeTieBreak``, +``EdgePriority``, ``FlowPlacement``, ``Admission``), the integer ledger (``FlowLedger`` +with its ``FlowRecord`` snapshots), the policy engine (``FlowPolicy`` with +``FlowPolicyConfig`` over the routing variants ``CostOnly``, ``CapacityAware``, +``Global``, ``Pinned``; ``PlacementResult``, ``OutputOptions``, ``Termination``), the +``DagCache`` (building mode) and the evaluators (``capacity``, ``batch_capacity``, +``sensitivity``). The public search API (shortest paths, k shortest paths, path +resolution) and the frozen cache are not part of this build; ``_netgraph_core`` also holds the private entries +of the flow core and the internal search, which are never re-exported here. """ # pyright: reportMissingImports=false @@ -20,18 +23,41 @@ from typing import TYPE_CHECKING from _netgraph_core import ( + MAX_FLOWS_PER_CALL, + Absolute, Admission, + CapacityAware, + CapacityOptions, + CostOnly, + DagCache, + DagCacheStats, + DiminishingReturns, EdgePriority, EdgeTieBreak, Eligibility, - FlowGraph, + FlowLedger, FlowPlacement, + FlowPolicy, + FlowPolicyConfig, FlowRecord, + Global, + Graph, + OutputOptions, Path, PathSelection, + Pinned, + PlacementResult, PredDAG, - StrictMultiDiGraph, + SensitivityEntry, + SensitivityOptions, + SensitivityResult, + SensitivityStatus, + Stretch, + Termination, as_float, + batch_capacity, + capacity, + sensitivity, to_units, ) @@ -44,24 +70,47 @@ # because it turns "unchecked" into "confidently wrong". if TYPE_CHECKING: # pragma: no cover - typing-only from ._docs import ( # noqa: I001 + MAX_FLOWS_PER_CALL as MAX_FLOWS_PER_CALL, + Absolute as Absolute, Admission as Admission, + CapacityAware as CapacityAware, + CapacityOptions as CapacityOptions, + CostOnly as CostOnly, + DagCache as DagCache, + DagCacheStats as DagCacheStats, + DiminishingReturns as DiminishingReturns, EdgePriority as EdgePriority, EdgeTieBreak as EdgeTieBreak, Eligibility as Eligibility, - FlowGraph as FlowGraph, + FlowLedger as FlowLedger, FlowPlacement as FlowPlacement, + FlowPolicy as FlowPolicy, + FlowPolicyConfig as FlowPolicyConfig, FlowRecord as FlowRecord, + Global as Global, + Graph as Graph, + OutputOptions as OutputOptions, Path as Path, PathSelection as PathSelection, + Pinned as Pinned, + PlacementResult as PlacementResult, PredDAG as PredDAG, - StrictMultiDiGraph as StrictMultiDiGraph, + SensitivityEntry as SensitivityEntry, + SensitivityOptions as SensitivityOptions, + SensitivityResult as SensitivityResult, + SensitivityStatus as SensitivityStatus, + Stretch as Stretch, + Termination as Termination, as_float as as_float, + batch_capacity as batch_capacity, + capacity as capacity, + sensitivity as sensitivity, to_units as to_units, ) __all__ = [ "__version__", - "StrictMultiDiGraph", + "Graph", "Eligibility", "to_units", "as_float", @@ -72,6 +121,29 @@ "PathSelection", "FlowPlacement", "Admission", - "FlowGraph", + "FlowLedger", "FlowRecord", + "Absolute", + "Stretch", + "DiminishingReturns", + "CostOnly", + "CapacityAware", + "Global", + "Pinned", + "FlowPolicyConfig", + "OutputOptions", + "Termination", + "PlacementResult", + "FlowPolicy", + "MAX_FLOWS_PER_CALL", + "DagCache", + "DagCacheStats", + "CapacityOptions", + "SensitivityOptions", + "SensitivityStatus", + "SensitivityEntry", + "SensitivityResult", + "capacity", + "batch_capacity", + "sensitivity", ] diff --git a/python/netgraph_core/_docs.py b/python/netgraph_core/_docs.py index 785ef07..1ca4f57 100644 --- a/python/netgraph_core/_docs.py +++ b/python/netgraph_core/_docs.py @@ -3,8 +3,16 @@ This module is intentionally light; runtime implementations live in the compiled extension. The goal is to provide type hints and help text. -TODO: replace this hand-written stub with generated `.pyi` (e.g. via -pybind11-stubgen) to prevent drift from the runtime bindings (Phase 5). +Every public call is all-or-nothing up to its caller (APPROACH 13), with two limits: (1) the +pybind11 object machinery is outside the guarantee: constructing a bound object from Python, +or reading an attribute or method value converted into a new bound object or container outside +the staged calls, allocates through pybind11's ``make_new_instance``, which does not check the +result of ``tp_alloc``, so a Python allocation failure at that point crashes the process, with +Core state unchanged; (2) a supplied building DagCache is a memo: it keeps the complete entries +and statistics of the lookups that succeeded before a later failure of the call. + +Generated ``.pyi`` stubs (pybind11-stubgen, APPROACH 13) arrive with the public search (PLAN, +sub-PR 1d); this hand-written shim is deleted in Phase 5. """ from __future__ import annotations @@ -58,7 +66,7 @@ def as_float(x, resolution): # type: ignore[no-untyped-def] class Eligibility: """Immutable, graph-bound static eligibility: dense node and edge flags. - Built by ``StrictMultiDiGraph.eligibility(excluded_nodes, excluded_edges)``. An + Built by ``Graph.eligibility(excluded_nodes, excluded_edges)``. An edge is allowed when it is not excluded and both of its endpoints are allowed. Passing it to a call of another graph raises ValueError. """ @@ -90,7 +98,7 @@ def intersect(a: "Eligibility", b: "Eligibility") -> "Eligibility": ... -class StrictMultiDiGraph: +class Graph: """Immutable directed multigraph on integer units (layout B'). Edges are given in input order. The public EdgeId of an edge is its rank in the @@ -277,7 +285,8 @@ class PathSelection: ``tie_break`` and ``priority`` are explicit; ``multipath = True`` keeps every equal-cost walk (the DAG), ``False`` the one canonical single path; ``multi_edge = True`` keeps every eligible parallel member, ``False`` one per ``(u, v)`` pair (minimum cost, then the - priority under PREFER_HIGHER_PRIORITY, then the lowest EdgeId). Immutable value. + priority under PREFER_HIGHER_PRIORITY, then the lowest EdgeId). Immutable value; a + ``tie_break`` or ``priority`` outside its enumeration raises ValueError. """ def __init__( @@ -303,13 +312,15 @@ class PredDAG: The entries of node ``v`` are ``parents()[k]``, ``via_edges()[k]`` for ``k`` in ``[parent_offsets()[v], parent_offsets()[v + 1])``: the edge ``via`` joins ``parent -> v``. Within a node the entries are in strictly ascending via EdgeId (one - canonical form). Equality is structural. Accessors return read-only NumPy views that - keep the DAG alive. A DAG of another graph is rejected wherever it is used. + canonical form). Equality is structural. ``parents()`` and ``via_edges()`` are read-only + NumPy views that keep the DAG alive; ``parent_offsets()`` is a fresh read-only array that + owns its data, built on demand (the DAG is stored over its member nodes only). A DAG of + another graph is rejected wherever it is used. """ @staticmethod def from_csr( - graph: StrictMultiDiGraph, + graph: Graph, offsets: "Sequence[int] | np.ndarray", parents: "Sequence[int] | np.ndarray", via: "Sequence[int] | np.ndarray", @@ -330,7 +341,7 @@ def graph_uid(self) -> int: ... def parent_offsets(self) -> "np.ndarray": - """int32[N + 1] CSR offsets.""" + """int32[N + 1] CSR offsets, a fresh read-only array built on demand.""" ... def parents(self) -> "np.ndarray": @@ -350,9 +361,7 @@ class Path: cost. ``to_dag()`` gives the equivalent ``PredDAG``. """ - def __init__( - self, graph: StrictMultiDiGraph, hops: "Sequence[Sequence[int]]" - ) -> None: + def __init__(self, graph: Graph, hops: "Sequence[Sequence[int]]") -> None: """Validate and build the walk. Raises: @@ -366,10 +375,6 @@ def graph_uid(self) -> int: ... def hops(self) -> list[list[int]]: ... def src(self) -> int: ... def dst(self) -> int: ... - def nodes(self) -> list[int]: - """The visited nodes, ``src`` first.""" - ... - def cost(self) -> int: ... def to_dag(self) -> PredDAG: ... @@ -410,7 +415,7 @@ def edges(self) -> list[tuple[int, int]]: ... def drops(self) -> list[tuple[int, int]]: ... -class FlowGraph: +class FlowLedger: """The integer ledger of one graph (APPROACH 8). An immutable baseline residual in units and the records of the flows placed on it by @@ -423,7 +428,7 @@ class FlowGraph: def __init__( self, - graph: StrictMultiDiGraph, + graph: Graph, residual: "Sequence[int] | np.ndarray | None" = None, ) -> None: """Bind a ledger to ``graph``. @@ -444,7 +449,7 @@ def uid(self) -> int: """Process-unique ledger uid (the first half of every FlowId).""" ... - def graph(self) -> StrictMultiDiGraph: ... + def graph(self) -> Graph: ... def capacity_units(self) -> "np.ndarray": """int64[E] the graph's capacities in units (read-only view).""" ... @@ -483,7 +488,471 @@ def reset(self, residual: "Sequence[int] | np.ndarray | None" = None) -> None: """ ... - def copy(self) -> "FlowGraph": + def copy(self) -> "FlowLedger": """A new ledger (new uid) with the same baseline and records (ids kept under the new uid); ValueError while a policy is bound.""" ... + + +# ---------------------------------------------------------------------------- policies + +MAX_FLOWS_PER_CALL: int +"""The call-wide CapacityAware creation cap, 10,000: the flows one ``place`` call may create +(creation and accepted growth, across sources) before it stops with ``LIMIT_FLOWS``. An engine +constant (C++ ``kMaxFlowsPerCall``); not a limit on any mode's existing flow count.""" + + +class Absolute: + """CostCeiling: an absolute, inclusive path-cost budget (``cost >= 0``).""" + + def __init__(self, cost: int) -> None: ... + @property + def cost(self) -> int: ... + + +class Stretch: + """CostCeiling: a factor in ``[1, inf)`` of the static shortest cost under the policy's + Eligibility, read as the exact dyadic rational it is (compared without rounding).""" + + def __init__(self, factor: float) -> None: ... + @property + def factor(self) -> float: ... + + +class DiminishingReturns: + """The diminishing-returns guard of CapacityAware growth. + + Growth stops once at least ``window`` steps were accepted in the call and the last + ``window`` gains sum below ``fraction`` times the source's (finite) offer + (``limit_diminishing``). ``window >= 1``, ``fraction`` in ``(0, 1)``. + """ + + def __init__(self, window: int, fraction: float) -> None: ... + @property + def window(self) -> int: ... + @property + def fraction(self) -> float: ... + + +class CostOnly: + """Routing: IGP forwarding. One flow per roster source on the static shortest-path DAG + (the DagCache value of the destination set; selection projected at creation on the + working residual), never refreshed, grown or reoptimised.""" + + def __init__(self) -> None: ... + + +class CapacityAware: + """Routing: distributed CSPF tunnels (APPROACH 9.1, 9.2). + + ``flow_count`` flows are created by the canonical search of section 6 on the selection + view (residual >= ``max(1, min_flow_bandwidth)`` units, the ``max_path_cost`` ceiling), + then grown up to ``max_flow_count`` (``None``: no ceiling); ``reoptimize`` reroutes + retained flows (adopted only when the candidate delivers the flow's amount); + ``diminishing`` guards growth (``None``: off). Fields are keyword-only. + """ + + def __init__( + self, + *, + flow_count: int = 1, + max_flow_count: int | None = None, + max_path_cost: "Absolute | Stretch | None" = None, + min_flow_bandwidth: int = 0, + reoptimize: bool = False, + diminishing: DiminishingReturns | None = None, + ) -> None: ... + @property + def flow_count(self) -> int: ... + @property + def max_flow_count(self) -> int | None: ... + @property + def max_path_cost(self) -> "Absolute | Stretch | None": ... + @property + def min_flow_bandwidth(self) -> int: ... + @property + def reoptimize(self) -> bool: ... + @property + def diminishing(self) -> DiminishingReturns | None: ... + + +class Global: + """Routing: the omniscient controller. Every call re-solves the minimum-cost flow of the + cumulative value over the whole eligible graph on ``V = W + own`` (placement MaxFlow + only); records are the canonical per-source decomposition.""" + + def __init__(self) -> None: ... + + +class Pinned: + """Routing: explicit route structures, one flow per usable bundle in supply order + (single endpoints). A ``Path`` converts with ``to_dag()``.""" + + def __init__(self, bundles: "Sequence[PredDAG]") -> None: ... + @property + def bundles(self) -> list[PredDAG]: ... + + +class FlowPolicyConfig: + """The four explicit axes of a policy (keyword-only, no defaults). + + ``Global`` and ``Pinned`` read ``selection.priority`` only for the Weighted kernel and + ignore the rest; ``CostOnly`` and ``CapacityAware`` read every field. A ``placement`` or + ``admission`` outside its enumeration raises ValueError; a routing of another type, + TypeError. + """ + + def __init__( + self, + *, + routing: "CostOnly | CapacityAware | Global | Pinned", + placement: FlowPlacement, + admission: Admission, + selection: PathSelection, + ) -> None: ... + @property + def routing(self) -> "CostOnly | CapacityAware | Global | Pinned": ... + @property + def placement(self) -> FlowPlacement: ... + @property + def admission(self) -> Admission: ... + @property + def selection(self) -> PathSelection: ... + + +class OutputOptions: + """Optional outputs of a placement (absent outputs are ``None``): ``edge_flows`` (the + policy's own allocation per edge after the call), ``residual`` and ``bottleneck`` (the + ledger's after the call); on Global, ``bottleneck`` adds ``min_cut``.""" + + def __init__( + self, + *, + edge_flows: bool = False, + residual: bool = False, + bottleneck: bool = False, + ) -> None: ... + @property + def edge_flows(self) -> bool: ... + @property + def residual(self) -> bool: ... + @property + def bottleneck(self) -> bool: ... + + +class Termination: + """A source's local outcome and a call's termination (APPROACH 9.4). + + The reduction over the sources whose offer is unserved: none ``COMPLETE``, else the + highest of ``LIMIT_FLOWS > LIMIT_DIMINISHING > EXHAUSTED > NO_ROUTE``. + """ + + COMPLETE: ClassVar["Termination"] + LIMIT_FLOWS: ClassVar["Termination"] + LIMIT_DIMINISHING: ClassVar["Termination"] + NO_ROUTE: ClassVar["Termination"] + EXHAUSTED: ClassVar["Termination"] + __members__: ClassVar[dict[str, "Termination"]] + + def __init__(self, value: int) -> None: ... + def __int__(self) -> int: ... + def __index__(self) -> int: ... + @property + def name(self) -> str: ... + @property + def value(self) -> int: ... + + +class PlacementResult: + """One placement call (the deltas of this call). + + ``placed`` and ``remaining = request - placed`` (``float('inf')`` for ``+inf``) in + units; ``termination`` and ``local_outcomes`` (one ``(source, Termination)`` per roster + source, ascending); ``routes_changed`` and ``weights_changed`` (committed events of the + call, the flag table of 9.4); ``drops`` (this call's transit drops); Global adds + ``cost_distribution``, the marginal curve of the policy's cumulative flow (its amounts sum + to ``placed_demand()``; a zero call reports it unchanged, ``[]`` before the first + placement and after ``remove()``). ``edge_flows``, ``residual``, ``bottleneck`` and + (Global) ``min_cut`` exist when requested through ``OutputOptions``; ``min_cut`` is ``None`` + when the solve was not maximal on its view, and on a zero call (nothing is solved). + """ + + @property + def placed(self) -> int: ... + @property + def remaining(self) -> "int | float": ... + @property + def termination(self) -> Termination: ... + @property + def local_outcomes(self) -> list[tuple[int, Termination]]: ... + @property + def routes_changed(self) -> bool: ... + @property + def weights_changed(self) -> bool: ... + @property + def drops(self) -> list[tuple[int, int]]: ... + @property + def cost_distribution(self) -> list[tuple[int, int]] | None: ... + @property + def edge_flows(self) -> "np.ndarray | None": ... + @property + def residual(self) -> "np.ndarray | None": ... + @property + def bottleneck(self) -> list[int] | None: ... + @property + def min_cut(self) -> list[int] | None: ... + + +class DagCacheStats: + """DagCache statistics, atomic per field (not a consistent snapshot): ``hits``, + ``misses``, ``entries``, ``bytes`` (the entries' retained payload) and + ``live_values`` (values alive anywhere, entries included).""" + + @property + def hits(self) -> int: ... + @property + def misses(self) -> int: ... + @property + def entries(self) -> int: ... + @property + def bytes(self) -> int: ... + @property + def live_values(self) -> int: ... + + +class DagCache: + """A cache of static shortest-path supports bound to one graph (APPROACH 10). + + Keyed ``(roots as a set, direction, Eligibility uid)``; the value is the full static + support (``multipath``, ``multi_edge``, no residual) as an immutable shared value, valid + after ``clear()``. Selection is projected at creation, never cached. Building mode: one + writer, no concurrent readers (a supplied cache needs ``workers == 1``). A supplied + building cache is a memo (APPROACH 13, limit 2): a public call that fails keeps the + complete entries and statistics of the lookups that succeeded before; it never holds a + partial entry, held values stay valid, and a retained entry never changes a result. + """ + + def __init__(self, graph: Graph) -> None: ... + def graph_uid(self) -> int: ... + def clear(self) -> None: + """Empties the cache; the hit and miss counters persist; held values stay valid.""" + ... + + def stats(self) -> DagCacheStats: ... + + +class FlowPolicy: + """The one placement engine (APPROACH 9), bound to its ledger at construction. + + ``place(volume, outputs)`` runs the transaction of 9.2 (per source for CostOnly and + CapacityAware: creation, reoptimisation, amounts, growth on the shared working + residual; Global: the cumulative minimum-cost flow on ``V = W + own``) and commits one + atomic exchange: a failed call raises and leaves the ledger and the policy as they were, + a failed allocation of its Python result included (the result object exists before + anything is published). Two limits (APPROACH 13): (1) the pybind11 object machinery is + outside the guarantee: constructing a bound object from Python, or reading an attribute + or method value converted into a new bound object or container outside the staged calls, + allocates through pybind11's ``make_new_instance``, which does not check ``tp_alloc``, so a + Python allocation failure there crashes the process, with Core state unchanged; (2) a + supplied building DagCache is a memo: it keeps the complete entries and statistics of the + lookups that succeeded before a later failure (of this call or of the construction); + never a partial entry, and a retained entry never changes a result. ``remove()`` reverts every + flow, retires the ids and opens a new epoch. Dropping the policy without ``remove()`` + leaves its records as orphans. Keeps the ledger, the Eligibility and the cache alive. + + Raises: + ValueError: invalid endpoints (empty, out of range, overlapping sets), configurations + (Lossy with MaxFlow, Global or CapacityAware; Global without MaxFlow; Weighted + with Headroom; counts, ceilings, guards; Pinned bundles: empty, duplicate, + foreign, without a src -> dst walk; Pinned with endpoint sets), foreign objects, + and requests (outside ``[0, 2**62)`` units, a finite request after ``+inf``). + TypeError: arguments of the wrong type. + """ + + def __init__( + self, + ledger: FlowLedger, + sources: "int | Sequence[int]", + destinations: "int | Sequence[int]", + config: FlowPolicyConfig, + elig: Eligibility | None = None, + cache: DagCache | None = None, + ) -> None: ... + def place( + self, volume: "int | float", outputs: OutputOptions | None = None + ) -> PlacementResult: + """Place ``volume`` units (an int in ``[0, 2**62)``) or ``float('inf')``.""" + ... + + def remove(self) -> None: ... + def placed_demand(self) -> int: + """The sum of delivered over the policy's live records.""" + ... + + def records(self) -> list[FlowRecord]: + """The policy's live records as snapshots in FlowId order.""" + ... + + def record(self, flow_id: tuple[int, int]) -> FlowRecord: + """One of the policy's live records; ValueError for a FlowId of another ledger or + policy, a retired or an unknown id.""" + ... + + def usable_bundles(self) -> int: + """Pinned: the bundles with a src -> dst walk after static pruning (else 0).""" + ... + + @property + def config(self) -> FlowPolicyConfig: + """The configuration (a copy taken at construction).""" + ... + + +class CapacityOptions: + """The configuration, the static Eligibility (``None``: all allowed), the DagCache + (``None``: a private cache per worker) and the outputs of ``capacity()`` and + ``batch_capacity()``.""" + + def __init__( + self, + config: FlowPolicyConfig, + *, + elig: Eligibility | None = None, + cache: DagCache | None = None, + outputs: OutputOptions | None = None, + ) -> None: ... + @property + def config(self) -> FlowPolicyConfig: ... + @property + def elig(self) -> Eligibility | None: ... + @property + def cache(self) -> DagCache | None: ... + @property + def outputs(self) -> OutputOptions: ... + + +class SensitivityOptions: + """The configuration, Eligibility, DagCache and baseline outputs of ``sensitivity()``.""" + + def __init__( + self, + config: FlowPolicyConfig, + *, + elig: Eligibility | None = None, + cache: DagCache | None = None, + outputs: OutputOptions | None = None, + ) -> None: ... + @property + def config(self) -> FlowPolicyConfig: ... + @property + def elig(self) -> Eligibility | None: ... + @property + def cache(self) -> DagCache | None: ... + @property + def outputs(self) -> OutputOptions: ... + + +class SensitivityStatus: + """``EVALUATED`` (loss = baseline minus the capacity without the edge) or + ``UNEVALUABLE`` (the deletion raised a model exception: ``loss`` is ``None`` and + ``reason`` the message).""" + + EVALUATED: ClassVar["SensitivityStatus"] + UNEVALUABLE: ClassVar["SensitivityStatus"] + __members__: ClassVar[dict[str, "SensitivityStatus"]] + + def __init__(self, value: int) -> None: ... + def __int__(self) -> int: ... + def __index__(self) -> int: ... + @property + def name(self) -> str: ... + @property + def value(self) -> int: ... + + +class SensitivityEntry: + """One candidate edge: ``edge``, ``loss`` (signed units, never thresholded; ``None`` + when unevaluable), ``status``, ``reason`` (``None`` unless unevaluable).""" + + @property + def edge(self) -> int: ... + @property + def loss(self) -> int | None: ... + @property + def status(self) -> SensitivityStatus: ... + @property + def reason(self) -> str | None: ... + + +class SensitivityResult: + """``baseline`` (the PlacementResult of ``capacity()``) and ``entries`` (ascending + EdgeId; an absent edge has loss 0).""" + + @property + def baseline(self) -> PlacementResult: ... + @property + def entries(self) -> list[SensitivityEntry]: ... + + +def capacity( + graph: Graph, + sources: "int | Sequence[int]", + destinations: "int | Sequence[int]", + opts: CapacityOptions, +) -> PlacementResult: + """``place(+inf)`` of a FlowPolicy with ``opts.config`` on a fresh ledger of the graph. + + The exact maximum flow is the Global + MaxFlow configuration (the minimum-cost maximum + flow; ``cost_distribution`` its marginal curve). A failed call raises and returns no + result; a supplied building cache keeps the entries and statistics of the lookups that + succeeded before the failure (a memo: APPROACH 13, limit 2). + """ + ... + + +def batch_capacity( + graph: Graph, + pairs: "Sequence[tuple[int | Sequence[int], int | Sequence[int]]]", + opts: CapacityOptions, + per_pair_elig: "Sequence[Eligibility | None] | None" = None, + workers: int | None = None, +) -> list[PlacementResult]: + """``capacity()`` per ``(sources, destinations)`` pair, in pair order. + + ``opts.elig`` is intersected with ``per_pair_elig[i]`` (``None`` entries allowed; a given + sequence has one entry per pair, also when it is empty). Everything is validated before a + worker starts: the arguments first (workers, options, the configuration: Pinned is + rejected; the ``per_pair_elig`` length), then each pair completely in pair order (its + endpoints, their overlap, its Eligibility), so the error of the lowest failing pair index + is raised; an empty batch returns ``[]``. ``workers``: an explicit int >= 1 is honoured; ``None`` takes + ``NGRAPH_CORE_BATCH_THREADS`` (or 1), and 1 when a cache is supplied (a supplied + building cache is rejected unless ``workers == 1``). A failed call raises and returns + no result; a supplied building cache keeps the entries and statistics of the lookups + that succeeded before the failure (a memo: APPROACH 13, limit 2). + """ + ... + + +def sensitivity( + graph: Graph, + sources: "int | Sequence[int]", + destinations: "int | Sequence[int]", + opts: SensitivityOptions, + workers: int | None = None, +) -> SensitivityResult: + """The baseline ``capacity()`` and one deletion per candidate edge. + + Candidates: under Global the baseline's positive-flow edges; under every other model + every edge ``opts.elig`` allows with at least 1 unit of static capacity. A loss is the + baseline's placed minus ``capacity()`` with the edge deleted (``opts.elig`` minus the + edge, the same configuration and cache), in signed units, never thresholded. Global + evaluates it by the flow core's deletion re-solve from the baseline solve's final state + (that value exactly; a failure there raises); CostOnly gives an edge outside every roster + source's reachable part of the static support loss 0 without a placement, a + result-equivalent predicate; every other deletion is placed on a fresh ledger, where a + model exception makes the entry ``UNEVALUABLE`` with the message as reason. ``workers`` as ``batch_capacity`` (``NGRAPH_CORE_SENSITIVITY_THREADS``). + A failed call raises and returns no result; a supplied building cache keeps the + entries and statistics of the lookups that succeeded before the failure (a memo: + APPROACH 13, limit 2). + """ + ... diff --git a/src/dag_cache.cpp b/src/dag_cache.cpp new file mode 100644 index 0000000..aa62cc6 --- /dev/null +++ b/src/dag_cache.cpp @@ -0,0 +1,76 @@ +/* + The DagCache of APPROACH 10 in building mode: a map from (roots, direction, Eligibility uid) + to the full static support of that search, with atomic statistics. +*/ +#include "netgraph/core/dag_cache.hpp" + +#include +#include +#include + +#include "netgraph/core/detail/endpoints.hpp" +#include "netgraph/core/detail/enum_domain.hpp" +#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/detail/search.hpp" + +namespace netgraph::core { + +namespace { + +// Decrements the live-value counter when the last holder of a value lets it go. +struct LiveDeleter { + std::shared_ptr> live; + void operator()(const PredDAG* dag) const noexcept { + live->fetch_sub(1, std::memory_order_relaxed); + delete dag; + } +}; + +} // namespace + +DagCache::DagCache(const Graph& graph) : graph_uid_(graph.uid()) {} + +std::shared_ptr DagCache::lookup(const Graph& g, std::span roots, + Direction direction, const Eligibility* elig) { + // Invalid queries throw before anything is counted. + if (g.uid() != graph_uid_) throw std::invalid_argument("DagCache: the graph is not the cache's graph (foreign graph)"); + if (elig != nullptr && elig->graph_uid() != g.uid()) { + throw std::invalid_argument("foreign Eligibility: built for another graph"); + } + auto key_roots = detail::node_set(roots, g.num_nodes(), "roots"); + detail::check_member(direction, "direction"); + Key key {std::move(key_roots), direction, elig != nullptr ? elig->uid() : 0}; + const auto it = entries_.find(key); + if (it != entries_.end()) { + hits_.fetch_add(1, std::memory_order_relaxed); + return it->second; + } + misses_.fetch_add(1, std::memory_order_relaxed); + // A failed search (or a failed insertion) inserts nothing; the miss stays counted. + auto value = std::make_unique(detail::static_support(g, std::get<0>(key), direction, elig)); + const auto bytes = static_cast(detail::PredDAGBuilder::payload_bytes(*value)); + live_->fetch_add(1, std::memory_order_relaxed); // the deleter runs even if the control block fails + std::shared_ptr shared(value.release(), LiveDeleter {live_}); + entries_.emplace(std::move(key), shared); // strong guarantee: a throw leaves the map unchanged + num_entries_.fetch_add(1, std::memory_order_relaxed); + bytes_.fetch_add(bytes, std::memory_order_relaxed); + return shared; +} + +void DagCache::clear() noexcept { + entries_.clear(); + num_entries_.store(0, std::memory_order_relaxed); + bytes_.store(0, std::memory_order_relaxed); +} + +DagCache::Stats DagCache::stats() const noexcept { + Stats s; + s.hits = hits_.load(std::memory_order_relaxed); + s.misses = misses_.load(std::memory_order_relaxed); + s.entries = num_entries_.load(std::memory_order_relaxed); + s.bytes = bytes_.load(std::memory_order_relaxed); + s.live_values = live_->load(std::memory_order_relaxed); + return s; +} + +} // namespace netgraph::core diff --git a/src/eligibility.cpp b/src/eligibility.cpp new file mode 100644 index 0000000..25e1765 --- /dev/null +++ b/src/eligibility.cpp @@ -0,0 +1,81 @@ +/* + Eligibility: the static node and edge flags of one graph (APPROACH 4), and its one public + construction Graph::eligibility(excluded_nodes, excluded_edges). An excluded node excludes its + incident edges (its out-edge id range and its reverse-CSR in-edges); intersect keeps an + operand, and its uid, when the result equals it. +*/ +#include "netgraph/core/eligibility.hpp" + +#include +#include +#include +#include + +#include "netgraph/core/detail/uid.hpp" +#include "netgraph/core/graph.hpp" + +namespace netgraph::core { + +namespace { + +using detail::next_uid; + +} // namespace + +Eligibility Graph::eligibility(std::span excluded_nodes, + std::span excluded_edges) const { + const auto n = static_cast(num_nodes_); + const auto m = capacity_.size(); + for (NodeId v : excluded_nodes) { + if (v < 0 || static_cast(v) >= n) { + throw std::invalid_argument("excluded node " + std::to_string(v) + " out of node range [0, " + + std::to_string(n) + ")"); + } + } + for (EdgeId e : excluded_edges) { + if (e < 0 || static_cast(e) >= m) { + throw std::invalid_argument("excluded edge " + std::to_string(e) + " out of edge range [0, " + + std::to_string(m) + ")"); + } + } + Eligibility el; + el.graph_uid_ = uid_; + el.node_allowed_.assign(n, 1); + el.edge_allowed_.assign(m, 1); + for (EdgeId e : excluded_edges) el.edge_allowed_[static_cast(e)] = 0; + for (NodeId v : excluded_nodes) { + const auto vi = static_cast(v); + if (el.node_allowed_[vi] == 0) continue; // duplicate + el.node_allowed_[vi] = 0; + for (auto e = row_offsets_[vi]; e < row_offsets_[vi + 1]; ++e) { + el.edge_allowed_[static_cast(e)] = 0; + } + for (auto s = in_row_offsets_[vi]; s < in_row_offsets_[vi + 1]; ++s) { + el.edge_allowed_[static_cast(in_adj_edge_index_[static_cast(s)])] = 0; + } + } + el.uid_ = (excluded_nodes.empty() && excluded_edges.empty()) ? 0 : next_uid(); + return el; +} + +Eligibility Eligibility::intersect(const Eligibility& a, const Eligibility& b) { + if (a.graph_uid_ != b.graph_uid_) { + throw std::invalid_argument("Eligibility.intersect: the two values belong to different graphs"); + } + Eligibility out; + out.graph_uid_ = a.graph_uid_; + out.node_allowed_.resize(a.node_allowed_.size()); + out.edge_allowed_.resize(a.edge_allowed_.size()); + for (std::size_t v = 0; v < out.node_allowed_.size(); ++v) { + out.node_allowed_[v] = static_cast(a.node_allowed_[v] & b.node_allowed_[v]); + } + for (std::size_t e = 0; e < out.edge_allowed_.size(); ++e) { + out.edge_allowed_[e] = static_cast(a.edge_allowed_[e] & b.edge_allowed_[e]); + } + if (out.node_allowed_ == a.node_allowed_ && out.edge_allowed_ == a.edge_allowed_) return a; + if (out.node_allowed_ == b.node_allowed_ && out.edge_allowed_ == b.edge_allowed_) return b; + out.uid_ = next_uid(); + return out; +} + +} // namespace netgraph::core diff --git a/src/evaluators.cpp b/src/evaluators.cpp new file mode 100644 index 0000000..f424f28 --- /dev/null +++ b/src/evaluators.cpp @@ -0,0 +1,315 @@ +/* + The evaluators of APPROACH 11: capacity() is place(+inf) of a FlowPolicy on a fresh ledger; + batch_capacity() runs it per pair and sensitivity() per deleted candidate edge, on `workers` + threads (results in input order; the lowest index's exception wins). Sensitivity evaluates a + Global deletion by the flow core's deletion re-solve from the baseline solve's final state + (APPROACH 2.2) and gives a CostOnly edge outside the baseline's routes loss 0 without a + placement (a result-equivalent predicate); every other deletion is placed on a fresh ledger. +*/ +#include "netgraph/core/evaluators.hpp" + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/endpoints.hpp" +#include "netgraph/core/detail/evaluator_checks.hpp" +#include "netgraph/core/detail/flow_core.hpp" +#include "netgraph/core/detail/policy_engine.hpp" +#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/detail/private_hooks.hpp" + +namespace netgraph::core { + +namespace { + +// A ledger of g for one evaluation: the graph is borrowed (the ledger dies within the call). +std::shared_ptr borrowed(const Graph& g) { + return std::shared_ptr(std::shared_ptr {}, &g); +} + +PlacementResult evaluate(const Graph& g, std::span sources, + std::span destinations, const FlowPolicyConfig& cfg, const Eligibility* elig, + DagCache* cache, const OutputOptions& outputs) { + FlowLedger fg(borrowed(g)); + FlowPolicy policy(fg, sources, destinations, cfg, elig, cache); + return policy.place(std::nullopt, outputs); +} + +void check_common(const Graph& g, const Eligibility* elig, const DagCache* cache, std::int32_t workers) { + if (workers < 1) throw std::invalid_argument("workers must be >= 1 (got " + std::to_string(workers) + ")"); + if (elig != nullptr && elig->graph_uid() != g.uid()) { + throw std::invalid_argument("foreign Eligibility: built for another graph"); + } + if (cache != nullptr && cache->graph_uid() != g.uid()) { + throw std::invalid_argument("foreign DagCache: bound to another graph"); + } + if (cache != nullptr && workers != 1) { + throw std::invalid_argument( + "a supplied building DagCache has one writer: it is rejected unless workers == 1 (got workers = " + + std::to_string(workers) + ")"); + } +} + +// The number of threads run_indexed uses for n tasks. +std::size_t worker_threads(std::size_t n, std::int32_t workers) { + return std::max(1, static_cast(std::min(workers, static_cast(n)))); +} + +// Runs task(i, cache, t) for i in [0, n) on worker_threads(n, workers) threads (t the worker's +// index), each with its own private building cache unless `shared` is given (workers == 1 +// then). Indices are taken in increasing +// order and a taken index always runs, so after an exception every lower index has run: the +// lowest failing index is the one a sequential run would report, and its exception is rethrown. +// Everything a worker needs (the result slots, the private caches) is allocated here, before +// any thread starts, so a failure throws in the caller; the worker body cannot throw (an +// exception escaping a std::thread terminates the process): a task's exception is caught into +// its slot, and every launched thread is joined before anything is rethrown. +template +void run_indexed(std::size_t n, std::int32_t workers, const Graph& g, DagCache* shared, Task task) { + if (n == 0) return; + const auto threads = worker_threads(n, workers); + std::vector errors(n); + std::vector> own; + if (shared == nullptr) { + own.reserve(threads); + for (std::size_t t = 0; t < threads; ++t) own.push_back(std::make_unique(g)); + } + std::atomic next {0}; + std::atomic abort {false}; + auto worker = [&](std::size_t t) noexcept { + DagCache& cache = shared != nullptr ? *shared : *own[t]; + while (!abort.load(std::memory_order_relaxed)) { + const std::size_t i = next.fetch_add(1, std::memory_order_relaxed); + if (i >= n) break; + try { + task(i, cache, t); + } catch (...) { + errors[i] = std::current_exception(); + abort.store(true, std::memory_order_relaxed); + } + } + }; + if (threads == 1) { + worker(0); + } else { + std::vector pool; + pool.reserve(threads); + try { + for (std::size_t t = 0; t < threads; ++t) pool.emplace_back(worker, t); + } catch (...) { + abort.store(true); + for (auto& th : pool) th.join(); + throw; + } + for (auto& th : pool) th.join(); + } + for (const auto& e : errors) { + if (e) std::rethrow_exception(e); + } +} + +// CostOnly sensitivity: the edges of the baseline's routes. A source's route is read from the +// part of the full static support reachable from it (projected by the selection on the values +// of those edges; on a fresh ledger the creation view is the capacity). Deleting an edge +// outside every such part leaves every roster source's distance and reachable support as they +// were (distances only grow, and no shortest path of a reachable node used the edge), so every +// route, and the placement over the same capacities, is unchanged: the loss is exactly 0 and +// the deletion is not re-evaluated. +std::vector reachable_support(const Graph& g, const detail::PolicyEngine& pe) { + const auto num_edges = static_cast(g.num_edges()); + std::vector in_support(num_edges, 0); + for (EdgeId e : detail::PredDAGBuilder::ascending(*pe.support)) in_support[static_cast(e)] = 1; + std::vector reached(num_edges, 0); + std::vector seen(static_cast(g.num_nodes()), 0); + const auto row = g.row_offsets(); + const auto edge_dst = g.edge_dst(); + std::vector stack(pe.roster.begin(), pe.roster.end()); + for (NodeId s : stack) seen[static_cast(s)] = 1; + while (!stack.empty()) { + const auto u = static_cast(stack.back()); + stack.pop_back(); + for (auto e = static_cast(row[u]); e < static_cast(row[u + 1]); ++e) { + if (in_support[e] == 0) continue; + reached[e] = 1; + const auto v = static_cast(edge_dst[e]); + if (seen[v] == 0) { + seen[v] = 1; + stack.push_back(static_cast(v)); + } + } + } + return reached; +} + +} // namespace + +namespace detail { + +void check_batch_arguments(const Graph& g, const CapacityOptions& opts, std::int32_t workers) { + check_common(g, opts.elig, opts.cache, workers); + if (std::holds_alternative(opts.cfg.routing)) { + throw std::invalid_argument("Pinned routing is rejected in batch_capacity (bundles bind their endpoints)"); + } + validate_config(opts.cfg, 2, 2); // Pinned (the endpoint-count rule) is rejected above +} + +void check_batch_pair(const Graph& g, std::span sources, + std::span destinations, const Eligibility* elig, std::size_t index) { + const auto s = node_set(sources, g.num_nodes(), "sources"); + const auto t = node_set(destinations, g.num_nodes(), "destinations"); + check_disjoint(s, t, "sources", "destinations"); + if (elig != nullptr && elig->graph_uid() != g.uid()) { + throw std::invalid_argument("foreign Eligibility: per_pair_elig[" + std::to_string(index) + + "] built for another graph"); + } +} + +std::int32_t default_workers(bool sensitivity) noexcept { + const char* v = sensitivity ? std::getenv("NGRAPH_CORE_SENSITIVITY_THREADS") : std::getenv("NGRAPH_CORE_BATCH_THREADS"); + if (v == nullptr) return 1; + char* end = nullptr; + const long n = std::strtol(v, &end, 10); + if (end == v || *end != '\0' || n < 1 || n > 4096) return 1; + return static_cast(n); +} + +} // namespace detail + +PlacementResult capacity(const Graph& g, std::span sources, + std::span destinations, const CapacityOptions& opts) { + return evaluate(g, sources, destinations, opts.cfg, opts.elig, opts.cache, opts.outputs); +} + +std::vector batch_capacity( + const Graph& g, const std::vector, std::vector>>& pairs, + const CapacityOptions& opts, std::span per_pair_elig, std::int32_t workers) { + detail::check_batch_arguments(g, opts, workers); + if (!per_pair_elig.empty() && per_pair_elig.size() != pairs.size()) { + throw std::invalid_argument("per_pair_elig has " + std::to_string(per_pair_elig.size()) + " entries for " + + std::to_string(pairs.size()) + " pairs"); + } + for (std::size_t i = 0; i < pairs.size(); ++i) { + detail::check_batch_pair(g, pairs[i].first, pairs[i].second, per_pair_elig.empty() ? nullptr : per_pair_elig[i], i); + } + std::vector> results(pairs.size()); + run_indexed(pairs.size(), workers, g, opts.cache, [&](std::size_t i, DagCache& cache, std::size_t /*t*/) { + const Eligibility* extra = per_pair_elig.empty() ? nullptr : per_pair_elig[i]; + std::optional both; + const Eligibility* elig = opts.elig; + if (extra != nullptr) { + if (elig == nullptr) { + elig = extra; + } else { + both = Eligibility::intersect(*opts.elig, *extra); + elig = &*both; + } + } + results[i] = evaluate(g, pairs[i].first, pairs[i].second, opts.cfg, elig, &cache, opts.outputs); + }); + std::vector out; + out.reserve(results.size()); + for (auto& r : results) out.push_back(std::move(*r)); + return out; +} + +SensitivityResult sensitivity(const Graph& g, std::span sources, + std::span destinations, const SensitivityOptions& opts, + std::int32_t workers) { + check_common(g, opts.elig, opts.cache, workers); + const bool global = std::holds_alternative(opts.cfg.routing); + const bool cost_only = std::holds_alternative(opts.cfg.routing); + SensitivityResult out; + std::vector on_route; // CostOnly: the baseline's reachable support + detail::DeletionCapture capture; // Global: the baseline solve's final state + { + std::unique_ptr own; + DagCache* cache = opts.cache; + if (cache == nullptr) { + own = std::make_unique(g); + cache = own.get(); + } + FlowLedger fg(borrowed(g)); + FlowPolicy policy(fg, sources, destinations, opts.cfg, opts.elig, cache); + auto& pe = detail::PolicyAccess::engine(policy); + if (global) pe.capture = &capture; + out.baseline = policy.place(std::nullopt, opts.outputs); + pe.capture = nullptr; + if (cost_only) on_route = reachable_support(g, pe); + } + std::vector candidates; + if (global) { + // The baseline's positive-flow edges; no state, and no candidate, when no roster source + // reaches an allowed destination (nothing is placed). + if (capture.state.has_value()) { + if (capture.state->value() != out.baseline.placed) { + throw std::logic_error("sensitivity: the captured state differs from the baseline"); + } + const auto flows = capture.state->edge_flows(); + for (EdgeId e = 0; e < g.num_edges(); ++e) { + if (flows[static_cast(e)] > 0) candidates.push_back(e); + } + } + } else { + const auto capacity_units = g.capacity_units(); + for (EdgeId e = 0; e < g.num_edges(); ++e) { + if ((opts.elig == nullptr || opts.elig->edge_ok(e)) && capacity_units[static_cast(e)] >= 1) { + candidates.push_back(e); + } + } + } + const Amount base = out.baseline.placed; + out.entries.resize(candidates.size()); + // Global: one resolver per worker (its copy of the state and its working storage), made here. + std::vector resolvers; + if (global && !candidates.empty()) { + const auto threads = worker_threads(candidates.size(), workers); + resolvers.reserve(threads); + for (std::size_t t = 0; t < threads; ++t) resolvers.emplace_back(*capture.state); + } + run_indexed(candidates.size(), workers, g, opts.cache, [&](std::size_t i, DagCache& cache, std::size_t t) { + const EdgeId e = candidates[i]; + auto& entry = out.entries[i]; + entry.edge = e; + if (global) { + // An exact deletion on valid inputs always has a feasible optimum: a failure propagates. + entry.loss = base - resolvers[t].resolve(e).value; + entry.status = SensitivityStatus::Evaluated; + return; + } + try { +#if NETGRAPH_CORE_PRIVATE_HOOKS + if (detail::sensitivity_fail_edge().load(std::memory_order_relaxed) == e) { + throw std::runtime_error("injected model exception for the deletion of edge " + std::to_string(e) + + " (test hook)"); + } +#endif + if (cost_only && on_route[static_cast(e)] == 0) { + entry.loss = 0; + } else { + const EdgeId one[1] = {e}; + Eligibility deleted = g.eligibility({}, one); + if (opts.elig != nullptr) deleted = Eligibility::intersect(*opts.elig, deleted); + const auto r = evaluate(g, sources, destinations, opts.cfg, &deleted, &cache, OutputOptions {}); + entry.loss = base - r.placed; + } + entry.status = SensitivityStatus::Evaluated; + } catch (const std::runtime_error& ex) { + entry.loss = std::nullopt; + entry.status = SensitivityStatus::Unevaluable; + entry.reason = ex.what(); + } + if (&cache != opts.cache) cache.clear(); + }); + return out; +} + +} // namespace netgraph::core diff --git a/src/flow_core.cpp b/src/flow_core.cpp new file mode 100644 index 0000000..462f4b5 --- /dev/null +++ b/src/flow_core.cpp @@ -0,0 +1,880 @@ +/* + The one integer minimum-cost flow core (APPROACH 2.2). + + One objective on every view: minimum cost for the maximum value attainable under the value + cap. Successive shortest paths with potentials and blocking flows. Each tier runs Dijkstra on + reduced costs cost(e) + pi(u) - pi(v) to completion over the residual network reachable from + the virtual source s* (through the virtual sink t* and onward), adds the distances to the + potentials of the vertices it settled, then drains the zero-reduced-cost admissible subgraph + by Dinic phases (BFS levels, DFS with current-arc pointers) until no admissible augmenting + path remains or the cap is reached; then the next tier. Positive original costs do not + exclude zero-reduced-cost residual cycles, hence the repeated phases. The solve ends when a + Dijkstra does not reach t* or the cap is reached; there is no completion phase. + + Arc identity: every eligible edge is its own arc pair (forward with the view capacity, + reverse with the flow). At a node the forward arcs of its out-edges and the reverse arcs of + its in-edges are visited in one sequence by ascending EdgeId (a self-loop's forward arc before + its reverse arc); at a real endpoint its virtual arc comes first; s* visits its arcs by + ascending source NodeId and t* by ascending destination NodeId. Virtual arcs cost 0 and carry + 2^63 - 2 units, above every attainable value. Every solve starts from zero flow, so the zero + potentials are valid (all costs are positive). + + The deletion re-solve (the exact sensitivity model, APPROACH 11) continues from a solve's + final state instead. A solve asked to capture its state also records, as a shadow that + changes none of its searches, the working potentials: the running sum of the tier maxima D_k + and, per settled vertex, that sum at its last settlement; the working potential is the + published one plus the difference (a never-settled vertex: the whole sum, from numeric zero). + They equal the update of every vertex after every Dijkstra, the reached ones by their distance + and the others by D_k, so the reduced cost is non-negative on every positive residual arc, + real or virtual. The re-solve deletes a real arc e = (u, v) with flow f_e > 0 from a copy of + the state and runs three fixed-origin repairs, each a sequence of tiers as above from its + origin to its target, with that all-vertex update before the Dinic phases: u -> v for f_e, + moving m; when r = f_e - m > 0, u -> s* for r, whose first tier reuses repair 1's failed + search (nothing changed since), then t* -> v for r. The result is the minimum-cost flow of the + maximum value placed - r on the view without e, certified by the working potentials and the + real sources' residual closure; at most m + 2 r Dijkstra runs. + + Dijkstra's queue is a radix heap: keys pop in increasing order and entries with equal keys pop + in a fixed order (last pushed first within the lowest bucket), so the settle order, and with it + every counter, is a function of the input alone. Equal-key order affects only the counters, + never a distance, a potential or an augmenting path. The solve runs to the cap or to + disconnection; there is no clamp of the cap (APPROACH 2.2, revision 25). + + Arithmetic. A solve from zero stays in int64: every true residual distance is the cost of a + simple residual path, below the cost sum bound 2^62; potentials are such distances; a path's + bottleneck contains a real arc (sources and destinations are disjoint), so every amount is + below 2^62. The deletion mode's working potentials, distance keys, tentative distances and + sums of tier maxima are signed 128-bit (I128; reachability kept apart from the value by a + stamp): they stay within (n + 1) C at capture and (22 n + 15) C across the repairs for n + vertices and the cost sum C < 2^62, and its heap takes 128-bit keys. Amounts stay int64. +*/ +#include "netgraph/core/detail/flow_core.hpp" + +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/endpoints.hpp" +#include "netgraph/core/detail/node_map.hpp" + +namespace netgraph::core::detail { + +namespace { + +constexpr Cost kInfDist = std::numeric_limits::max(); +constexpr Amount kUncapped = std::numeric_limits::max(); + +// The bucket of a key: the number of the highest bit in which it differs from the last popped +// key (keys are non-negative). +std::size_t bucket_of(Cost key, Cost last) noexcept { + return static_cast(std::bit_width(static_cast(key) ^ static_cast(last))); +} +std::size_t bucket_of(I128 key, I128 last) noexcept { + return static_cast(bits(U128 {static_cast(key.hi ^ last.hi), key.lo ^ last.lo})); +} + +// Monotone priority queue for Dijkstra on non-negative integer keys (a radix heap): a key goes +// to the bucket of the highest bit in which it differs from the last popped key, and a pop +// redistributes the first non-empty bucket below its minimum. Entries are (key, vertex); equal +// keys pop in a fixed order, so every run is a function of its input. Keys are int64 (a solve +// from zero) or I128 (the deletion mode). +template +class RadixHeap { +public: + void clear() { + for (auto& b : buckets_) b.clear(); + last_ = 0; + size_ = 0; + } + [[nodiscard]] bool empty() const noexcept { return size_ == 0; } + void push(Key key, std::int32_t v) { + buckets_[bucket_of(key, last_)].emplace_back(key, v); + ++size_; + } + std::pair pop() { + if (buckets_[0].empty()) { + std::size_t i = 1; + while (buckets_[i].empty()) ++i; + auto& from = buckets_[i]; + Key lowest = from.front().first; + for (const auto& entry : from) lowest = std::min(lowest, entry.first); + last_ = lowest; + for (const auto& entry : from) buckets_[bucket_of(entry.first, last_)].push_back(entry); + from.clear(); + } + const auto top = buckets_[0].back(); + buckets_[0].pop_back(); + --size_; + return top; + } + +private: + std::array>, 8 * sizeof(Key) + 1> buckets_ {}; + Key last_ {0}; + std::size_t size_ {0}; +}; + +template +inline constexpr bool kWide = std::is_same_v; + +} // namespace + +// The residual network of one solve (Network: real vertices 0..N-1, s* = N, t* = N + 1) with +// its flow, potentials and scratch; also the working storage of a deletion re-solve. +class FlowSolver { +public: + // One reusable instance per thread (`local()`) for the solves from zero: build() resizes every + // buffer for the input, keeping capacity across calls, so repeated solves do not allocate + // once warm. Not reentrant (a solve never starts another). A deletion resolver owns its own. + static FlowSolver& local() { + thread_local FlowSolver solver; + return solver; + } + + // The input part of the network (num_nodes, the edges, the endpoint sets) is the caller's to + // fill; build() adds the arcs. + Network& network() noexcept { return net_; } + + // The arcs of the input, zero flow and zero potentials. `shadow`: record the working + // potentials for a capture. + void build(bool shadow) { + auto& in = net_; + size(in.num_nodes); + const auto n = static_cast(n_); + in.off.assign(n + 1, 0); + auto deg = [&](std::int32_t v) { ++in.off[static_cast(v) + 1]; }; + for (std::size_t k = 0; k < in.edges.size(); ++k) { + deg(in.tail[k]); + deg(in.head[k]); + } + for (std::int32_t s : in.sources) { deg(s); deg(s_); } + for (std::int32_t d : in.destinations) { deg(d); deg(t_); } + for (std::size_t v = 0; v < n; ++v) in.off[v + 1] += in.off[v]; + const auto num_slots = static_cast(in.off[n]); + in.arc_head.resize(num_slots); + in.rev.resize(num_slots); + in.arc_cost.resize(num_slots); + res_.resize(num_slots); + pos_.assign(in.off.begin(), in.off.end() - 1); + auto take = [&](std::int32_t v) { return pos_[static_cast(v)]++; }; + auto link = [&](std::int32_t a, std::int32_t to_a, Amount cap, Cost w, std::int32_t b, std::int32_t to_b) { + const auto ai = static_cast(a); + const auto bi = static_cast(b); + in.arc_head[ai] = to_a; + in.rev[ai] = b; + in.arc_cost[ai] = w; + res_[ai] = cap; + in.arc_head[bi] = to_b; + in.rev[bi] = a; + in.arc_cost[bi] = -w; + res_[bi] = 0; + }; + // Virtual arcs first at the real endpoints, then the real arcs by ascending EdgeId (forward + // slot at the tail, reverse slot at the head), then the slots of s* and t*. + in.src_rev.resize(in.sources.size()); + in.dst_fwd.resize(in.destinations.size()); + for (std::size_t i = 0; i < in.sources.size(); ++i) in.src_rev[i] = take(in.sources[i]); + for (std::size_t i = 0; i < in.destinations.size(); ++i) in.dst_fwd[i] = take(in.destinations[i]); + in.edge_slot.resize(in.edges.size()); + for (std::size_t k = 0; k < in.edges.size(); ++k) { + const std::int32_t u = in.tail[k]; + const std::int32_t v = in.head[k]; + const std::int32_t fwd = take(u); + const std::int32_t bwd = take(v); + link(fwd, v, in.cap[k], in.cost[k], bwd, u); + in.edge_slot[k] = fwd; + } + for (std::size_t i = 0; i < in.sources.size(); ++i) { + link(take(s_), in.sources[i], kMaxFlowCap, 0, in.src_rev[i], s_); + } + for (std::size_t i = 0; i < in.destinations.size(); ++i) { + link(in.dst_fwd[i], t_, kMaxFlowCap, 0, take(t_), in.destinations[i]); + } + pi_.assign(n, 0); + ever_.assign(n, 0); + dist_.resize(n); + shadow_ = shadow; + if (shadow) { + tier_sum_ = 0; + checkpoint_.assign(n, I128 {}); + } + } + + // A captured state's network, as the working storage of its deletion re-solves. + void load(const Network& net) { + net_ = net; + size(net_.num_nodes); + res_.resize(net_.arc_head.size()); + wpi_.resize(static_cast(n_)); + wdist_.resize(static_cast(n_)); + wseen_.assign(static_cast(n_), 0); + wepoch_ = 0; + } + + // The solve to the cap or to disconnection. Output in local coordinates: `flows` aligned with + // the input edges, `cut` as input edge indices (positive capacity, from the full residual + // closure of the real sources to its complement, ascending EdgeId) when the destinations are + // outside the closure, potentials per local vertex (kNeverReached when never settled). + struct Output { + Amount placed {0}; + std::vector> cost_distribution {}; + std::vector flows {}; + std::optional> cut {}; + std::vector potentials {}; + FlowCoreCounters counters {}; + }; + + // `closure` adds the cut; `potentials` the per-vertex potentials (the edge-subset entry + // needs neither). + Output run(Amount limit, bool closure, bool potentials = true) { + Output out; + auto& c = out.counters; + Amount total = 0; + origin_ = s_; + target_ = t_; + while (total < limit) { + const bool reached = dijkstra(c); + settle(); + if (!reached) break; + const Cost tier_cost = pi_[static_cast(t_)] - pi_[static_cast(s_)]; + const Amount before = total; + total = drain(c, limit, total, [](Amount) {}); + // A successful Dijkstra reaches t* over arcs with positive residual and zero reduced cost + // along its shortest paths, so the drain moves at least one unit. + if (total == before) { + throw std::logic_error("flow core: a successful Dijkstra drained nothing"); + } + out.cost_distribution.emplace_back(tier_cost, total - before); + } + out.placed = total; + + out.flows.resize(net_.edges.size()); + for (std::size_t k = 0; k < net_.edges.size(); ++k) out.flows[k] = flow_of(k); + if (closure && close_sources()) out.cut = cut_edges(-1); + if (potentials) { + out.potentials.resize(static_cast(net_.num_nodes)); + for (std::size_t v = 0; v < out.potentials.size(); ++v) { + out.potentials[v] = ever_[v] != 0 ? pi_[v] : kNeverReached; + } + } + return out; + } + + // The final state of the last solve (its value and counters given) into `req`. + void capture(DeletionCapture& req, Amount placed, const FlowCoreCounters& counters) { + DeletionState state; + state.graph_ = req.graph; + state.net_ = std::make_shared(net_); + state.res_ = res_; + state.pi_.resize(static_cast(n_)); + for (std::size_t v = 0; v < state.pi_.size(); ++v) state.pi_[v] = I128 {pi_[v]} + (tier_sum_ - checkpoint_[v]); + state.value_ = placed; + state.maximum_ = close_sources(); + state.counters_ = counters; + req.state = std::move(state); + } + +#if NETGRAPH_CORE_PRIVATE_HOOKS + void observe(const std::function)>* on_search) noexcept { on_search_ = on_search; } + // The tests' probe of the re-solves until reset (nullptr: none). + void probe(const DeletionProbe* p) noexcept { probe_ = p; } +#endif + + // The deletion re-solve of input edge k (a real arc with positive flow) from `state`, whose + // network this solver holds (load()). + DeletionResult resolve(const DeletionState& state, std::size_t k) { + std::copy(state.residual().begin(), state.residual().end(), res_.begin()); + std::copy(state.potentials().begin(), state.potentials().end(), wpi_.begin()); + DeletionResult out; + auto& c = out.counters; + const auto fwd = static_cast(net_.edge_slot[k]); + const auto bwd = static_cast(net_.rev[fwd]); + const Amount f = res_[bwd]; + const std::int32_t u = net_.tail[k]; + const std::int32_t v = net_.head[k]; + // The deletion: a pseudo-flow with an excess of f at u and a deficit of f at v, its residual + // the state's without e's two arcs. + res_[fwd] = 0; + res_[bwd] = 0; + emit(0, false, 0, c); + const Amount m = repair(1, u, v, f, false, c); + const Amount r = f - m; + if (r > 0) { + bool reuse = true; +#if NETGRAPH_CORE_PRIVATE_HOOKS + if (probe_ != nullptr && probe_->rerun_failed_search) reuse = false; +#endif + if (repair(2, u, s_, r, reuse, c) != r) { + throw std::logic_error("deletion re-solve: the remainder has no residual path back to the sources"); + } + if (repair(3, t_, v, r, false, c) != r) { + throw std::logic_error("deletion re-solve: the deficit has no residual path from the destinations"); + } + } + emit(4, false, 0, c); + if (!close_sources()) { + throw std::logic_error("deletion re-solve: the destinations stay connected to the sources"); + } + out.value = state.value() - r; + out.potentials = wpi_; + for (std::int32_t j : cut_edges(static_cast(k))) out.cut.push_back(net_.edges[static_cast(j)]); + out.edge_flows.assign(static_cast(state.graph().num_edges()), 0); + for (std::size_t j = 0; j < net_.edges.size(); ++j) { + out.edge_flows[static_cast(net_.edges[j])] = j == k ? 0 : flow_of(j); + } + return out; + } + +private: + void size(std::int32_t num_nodes) { + n_ = num_nodes + 2; + s_ = num_nodes; + t_ = num_nodes + 1; + const auto n = static_cast(n_); + level_.resize(n); + reach_.assign(n, 0); + mark_epoch_ = 0; + cur_.resize(n); + } + + // The flow of input edge k: the residual of its reverse slot. + [[nodiscard]] Amount flow_of(std::size_t k) const { + return res_[static_cast(net_.rev[static_cast(net_.edge_slot[k])])]; + } + + template + std::vector

& potentials() { + if constexpr (kWide

) { + return wpi_; + } else { + return pi_; + } + } + template + std::vector

& distances() { + if constexpr (kWide

) { + return wdist_; + } else { + return dist_; + } + } + template + RadixHeap

& heap() { + if constexpr (kWide

) { + return wheap_; + } else { + return heap_; + } + } + // Whether the last search of the mode reached x (int64: a finite distance; I128: the stamp). + template + [[nodiscard]] bool reached(std::int32_t x) const { + const auto xi = static_cast(x); + if constexpr (kWide

) { + return wseen_[xi] == wepoch_; + } else { + return dist_[xi] != kInfDist; + } + } + + // Dijkstra on reduced costs from origin_ to completion over the residual network. Returns + // whether target_ was reached; settled_ lists the vertices it settled. + template + bool dijkstra(FlowCoreCounters& c) { + auto& pi = potentials

(); + auto& dist = distances

(); + auto& queue = heap

(); + ++c.dijkstra_runs; + if constexpr (kWide

) { + if (++wepoch_ == 0) { + std::fill(wseen_.begin(), wseen_.end(), 0); + wepoch_ = 1; + } + } else { + std::fill(dist.begin(), dist.end(), kInfDist); + } + settled_.clear(); + queue.clear(); + const auto o = static_cast(origin_); + dist[o] = P {0}; + if constexpr (kWide

) wseen_[o] = wepoch_; + queue.push(P {0}, origin_); + while (!queue.empty()) { + const auto [du, ui] = queue.pop(); + ++c.dijkstra_pops; + const auto u = static_cast(ui); + if (du != dist[u]) continue; + settled_.push_back(ui); + ++c.settled; + const P base = du + pi[u]; + const auto end = net_.off[u + 1]; + c.arc_scans += end - net_.off[u]; + for (auto p = net_.off[u]; p < end; ++p) { + const auto a = static_cast(p); + if (res_[a] <= 0) continue; + const auto v = static_cast(net_.arc_head[a]); + const P nd = base + net_.arc_cost[a] - pi[v]; + if constexpr (kWide

) { + if (wseen_[v] != wepoch_ || nd < dist[v]) { + wseen_[v] = wepoch_; + dist[v] = nd; + queue.push(nd, static_cast(v)); + } + } else if (nd < dist[v]) { + dist[v] = nd; + queue.push(nd, static_cast(v)); + } + } + } + return reached

(target_); + } + + // The update of a solve from zero: the settled vertices' potentials by their distances; with + // a capture, the running sum of the tier maxima and the settled vertices' checkpoints. + void settle() { + for (std::int32_t v : settled_) { + const auto vi = static_cast(v); + pi_[vi] += dist_[vi]; + ever_[vi] = 1; + } + if (shadow_) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + if (on_search_ != nullptr && *on_search_) (*on_search_)(dist_); +#endif + Cost top = 0; + for (std::int32_t v : settled_) top = std::max(top, dist_[static_cast(v)]); + tier_sum_ += top; + for (std::int32_t v : settled_) checkpoint_[static_cast(v)] = tier_sum_; + } + } + + // The update of the deletion mode: every vertex, the reached ones by their distance and the + // others by the tier's largest finite distance. + void update_all() { + I128 top = 0; + for (std::int32_t v : settled_) top = std::max(top, wdist_[static_cast(v)]); + for (std::size_t v = 0; v < wpi_.size(); ++v) wpi_[v] += wseen_[v] == wepoch_ ? wdist_[v] : top; + } + + // The Dinic phases from origin_ to target_ over the admissible subgraph (positive residual, + // zero reduced cost) until no admissible path remains or `limit` is reached; on_push(total) + // after every push. + template + Amount drain(FlowCoreCounters& c, Amount limit, Amount total, OnPush on_push) { + while (total < limit) { + if (!build_levels

(c)) break; + std::copy(net_.off.begin(), net_.off.end() - 1, cur_.begin()); + while (total < limit) { + if (!find_path

(c)) break; + Amount amount = limit - total; + for (std::int32_t a : path_) amount = std::min(amount, res_[static_cast(a)]); + for (std::int32_t a : path_) { + res_[static_cast(a)] -= amount; + res_[static_cast(net_.rev[static_cast(a)])] += amount; + } + total += amount; + ++c.augmentations; + on_push(total); + } + } + return total; + } + + // BFS levels over admissible arcs (positive residual, zero reduced cost). Counts one phase. + // Only vertices that can reach target_ over admissible arcs are levelled: every vertex on a + // shortest admissible path from origin_ to such a vertex reaches the target too, so their + // levels equal the levels of a full BFS, and the other vertices are dead ends that the DFS + // would only enter and leave. The forward search also stops once the target's level is + // complete. The augmenting paths are therefore the ones a full BFS gives. + template + bool build_levels(FlowCoreCounters& c) { + const auto& pi = potentials

(); + const auto t = static_cast(target_); + // Reverse search from the target: the arc into v from arc_head[p] is the partner of v's slot p. + ++mark_epoch_; + queue_.clear(); + reach_[t] = mark_epoch_; + queue_.push_back(target_); + for (std::size_t qi = 0; qi < queue_.size(); ++qi) { + const auto v = static_cast(queue_[qi]); + const P pv = pi[v]; + const auto end = net_.off[v + 1]; + c.arc_scans += end - net_.off[v]; + for (auto p = net_.off[v]; p < end; ++p) { + const auto a = static_cast(p); + const auto u = static_cast(net_.arc_head[a]); + if (reach_[u] == mark_epoch_) continue; + const auto in = static_cast(net_.rev[a]); + if (res_[in] > 0 && net_.arc_cost[in] + pi[u] == pv) { + reach_[u] = mark_epoch_; + queue_.push_back(static_cast(u)); + } + } + } + std::fill(level_.begin(), level_.end(), -1); + ++c.dinic_phases; + const auto s = static_cast(origin_); + if (reach_[s] != mark_epoch_) return false; + queue_.clear(); + level_[s] = 0; + queue_.push_back(origin_); + for (std::size_t qi = 0; qi < queue_.size(); ++qi) { + const auto u = static_cast(queue_[qi]); + if (level_[t] >= 0 && level_[u] >= level_[t]) break; + const P pu = pi[u]; + const auto next = level_[u] + 1; + const auto end = net_.off[u + 1]; + c.arc_scans += end - net_.off[u]; + for (auto p = net_.off[u]; p < end; ++p) { + const auto a = static_cast(p); + const auto v = static_cast(net_.arc_head[a]); + if (level_[v] < 0 && reach_[v] == mark_epoch_ && res_[a] > 0 && net_.arc_cost[a] + pu == pi[v]) { + level_[v] = next; + queue_.push_back(static_cast(v)); + } + } + } + return level_[t] >= 0; + } + + // One augmenting path origin_ -> target_ in the level graph into path_ (current-arc pointers + // kept: an arc that is pushed through stays current; a dead end advances its parent's pointer). + template + bool find_path(FlowCoreCounters& c) { + const auto& pi = potentials

(); + stack_.clear(); + path_.clear(); + stack_.push_back(origin_); + while (!stack_.empty()) { + const auto u = static_cast(stack_.back()); + if (static_cast(u) == target_) return true; + bool advanced = false; + const auto end = net_.off[u + 1]; + const auto next = level_[u] + 1; + const P pu = pi[u]; + while (cur_[u] < end) { + ++c.arc_scans; + const auto a = static_cast(cur_[u]); + const auto v = static_cast(net_.arc_head[a]); + if (res_[a] > 0 && level_[v] == next && net_.arc_cost[a] + pu == pi[v]) { + stack_.push_back(static_cast(v)); + path_.push_back(static_cast(a)); + advanced = true; + break; + } + ++cur_[u]; + } + if (!advanced) { + stack_.pop_back(); + if (!path_.empty()) { + path_.pop_back(); + ++cur_[static_cast(stack_.back())]; + } + } + } + return false; + } + + // One fixed-origin repair of the deletion re-solve: tiers from `origin` to `target` until + // `amount` is moved or the target is unreachable; with `reuse`, the first tier reuses the + // last search (from the same origin, nothing changed since). Returns the amount moved. + Amount repair(int index, std::int32_t origin, std::int32_t target, Amount amount, bool reuse, FlowCoreCounters& c) { + origin_ = origin; + target_ = target; + Amount moved = 0; + bool search = !reuse; + while (moved < amount) { + if (search) { + const bool hit = dijkstra(c); + update_all(); + emit(index, false, moved, c); + if (!hit) break; + } else if (!reached(target_)) { + throw std::logic_error("deletion re-solve: the reused search did not reach the repair's target"); + } + search = true; + const Amount before = moved; + moved = drain(c, amount, moved, [&](Amount total) { emit(index, true, total, c); }); + if (moved == before) throw std::logic_error("flow core: a successful Dijkstra drained nothing"); + } + return moved; + } + + // The full residual closure of the real sources (reverse and virtual arcs included) into + // seen_. Returns whether t* is outside it. + bool close_sources() { + seen_.assign(static_cast(n_), 0); + queue_.clear(); + for (std::int32_t s : net_.sources) { + seen_[static_cast(s)] = 1; + queue_.push_back(s); + } + for (std::size_t qi = 0; qi < queue_.size(); ++qi) { + const auto u = static_cast(queue_[qi]); + for (auto p = net_.off[u]; p < net_.off[u + 1]; ++p) { + const auto a = static_cast(p); + const auto v = static_cast(net_.arc_head[a]); + if (res_[a] > 0 && seen_[v] == 0) { + seen_[v] = 1; + queue_.push_back(static_cast(v)); + } + } + } + return seen_[static_cast(t_)] == 0; + } + + // The input edges of positive view capacity from the closure to its complement (ascending), + // the input edge `skip` (a deleted edge) left out. + [[nodiscard]] std::vector cut_edges(std::int64_t skip) const { + std::vector cut; + for (std::size_t k = 0; k < net_.edges.size(); ++k) { + if (static_cast(k) != skip && seen_[static_cast(net_.tail[k])] != 0 && + seen_[static_cast(net_.head[k])] == 0 && net_.cap[k] > 0) { + cut.push_back(static_cast(k)); + } + } + return cut; + } + +#if NETGRAPH_CORE_PRIVATE_HOOKS + void emit(int repair, bool push, Amount moved, const FlowCoreCounters& c) const { + if (probe_ != nullptr && probe_->observe) probe_->observe(DeletionEvent {repair, push, moved, res_, wpi_, &c}); + } +#else + void emit(int /*repair*/, bool /*push*/, Amount /*moved*/, const FlowCoreCounters& /*c*/) const noexcept {} +#endif + + Network net_ {}; + std::int32_t n_ {0}; + std::int32_t s_ {0}; + std::int32_t t_ {0}; + std::int32_t origin_ {0}; + std::int32_t target_ {0}; + std::vector pos_ {}; + std::vector res_ {}; + // A solve from zero. + std::vector pi_ {}; + std::vector ever_ {}; + std::vector dist_ {}; + RadixHeap heap_ {}; + bool shadow_ {false}; + I128 tier_sum_ {}; + std::vector checkpoint_ {}; + // The deletion mode. + std::vector wpi_ {}; + std::vector wdist_ {}; + std::vector wseen_ {}; + std::uint32_t wepoch_ {0}; + RadixHeap wheap_ {}; +#if NETGRAPH_CORE_PRIVATE_HOOKS + const DeletionProbe* probe_ {nullptr}; + const std::function)>* on_search_ {nullptr}; +#endif + // Shared scratch. + std::vector settled_ {}; + std::vector level_ {}; + std::vector reach_ {}; + std::uint32_t mark_epoch_ {0}; + std::vector queue_ {}; + std::vector cur_ {}; + std::vector stack_ {}; + std::vector path_ {}; + std::vector seen_ {}; +}; + +std::vector DeletionState::edge_flows() const { + std::vector flows(static_cast(graph_->num_edges()), 0); + for (std::size_t k = 0; k < net_->edges.size(); ++k) { + const auto fwd = static_cast(net_->edge_slot[k]); + flows[static_cast(net_->edges[k])] = res_[static_cast(net_->rev[fwd])]; + } + return flows; +} + +DeletionState& DeletionState::operator=(const DeletionState& other) { + DeletionState copy(other); // every allocation; *this is untouched until it succeeds + return *this = std::move(copy); +} + +DeletionResolver::DeletionResolver(const DeletionState& state) : state_(state), solver_(std::make_unique()) { + if (state_.net_ == nullptr) throw std::invalid_argument("deletion re-solve: an empty state (no solve captured it)"); + solver_->load(state_.network()); +} + +DeletionResolver::~DeletionResolver() = default; +DeletionResolver::DeletionResolver(DeletionResolver&&) noexcept = default; +DeletionResolver& DeletionResolver::operator=(DeletionResolver&&) noexcept = default; + +DeletionResult DeletionResolver::resolve(EdgeId e) { return solver_->resolve(state_, index_of(e)); } + +#if NETGRAPH_CORE_PRIVATE_HOOKS +DeletionResult DeletionResolver::resolve(EdgeId e, const DeletionProbe& probe) { + const std::size_t k = index_of(e); + struct Reset { + FlowSolver& solver; + ~Reset() { solver.probe(nullptr); } + } reset {*solver_}; + solver_->probe(&probe); + return solver_->resolve(state_, k); +} +#endif + +std::size_t DeletionResolver::index_of(EdgeId e) const { + if (!state_.maximum()) { + throw std::invalid_argument( + "deletion re-solve: the state is not certified maximum (a residual path from the sources to the " + "destinations remains)"); + } + const Network& net = state_.network(); + const auto it = std::lower_bound(net.edges.begin(), net.edges.end(), e); + if (it == net.edges.end() || *it != e) { + throw std::invalid_argument("deletion re-solve: edge " + std::to_string(e) + " is not in the solve's view"); + } + const auto k = static_cast(it - net.edges.begin()); + const auto fwd = static_cast(net.edge_slot[k]); + if (state_.residual()[static_cast(net.rev[fwd])] <= 0) { + throw std::invalid_argument("deletion re-solve: edge " + std::to_string(e) + " carries no flow"); + } + return k; +} + +FlowCoreResult place_global_units(const Graph& g, + std::span view, + std::span sources, + std::span destinations, + const Eligibility* elig, + std::optional cap, + DeletionCapture* capture) { + const auto num_edges = static_cast(g.num_edges()); + if (view.size() != num_edges) { + throw std::invalid_argument("view has length " + std::to_string(view.size()) + ", expected " + + std::to_string(num_edges) + " (one entry per edge)"); + } + const auto capacity = g.capacity_units(); + for (std::size_t e = 0; e < num_edges; ++e) { + if (view[e] < 0 || view[e] > capacity[e]) { + throw std::invalid_argument("view[" + std::to_string(e) + "] = " + std::to_string(view[e]) + + " is outside [0, capacity_units[" + std::to_string(e) + "] = " + + std::to_string(capacity[e]) + "]"); + } + } + const auto srcs = node_set(sources, g.num_nodes(), "sources"); + const auto dsts = node_set(destinations, g.num_nodes(), "destinations"); + check_disjoint(srcs, dsts, "sources", "destinations"); + if (cap.has_value() && (*cap < 0 || *cap > kMaxFlowCap)) { + throw std::invalid_argument("cap " + std::to_string(*cap) + " is outside [0, 2^63 - 2]"); + } + if (elig != nullptr && elig->graph_uid() != g.uid()) { + throw std::invalid_argument("foreign Eligibility: built for another graph"); + } + if (capture != nullptr && capture->graph.get() != &g) { + throw std::logic_error("flow core: a capture request bound to another graph"); + } + FlowCoreResult out; + const bool zero = cap.has_value() && *cap == 0; + if (zero) { + // The input cap 0 runs nothing: the prescribed zero payload. + out.edge_flows.assign(num_edges, 0); + out.potentials.assign(static_cast(g.num_nodes()), kNeverReached); + if (capture == nullptr) return out; + } + // Identity coordinates: every real vertex, the allowed edges and endpoints. + FlowSolver& solver = FlowSolver::local(); + Network& in = solver.network(); + in.num_nodes = g.num_nodes(); + const auto edge_src = g.edge_src(); + const auto edge_dst = g.edge_dst(); + const auto cost = g.cost(); + in.edges.clear(); + in.tail.clear(); + in.head.clear(); + in.cost.clear(); + in.cap.clear(); + in.sources.clear(); + in.destinations.clear(); + in.edges.reserve(num_edges); + for (std::size_t e = 0; e < num_edges; ++e) { + if (elig != nullptr && !elig->edge_ok(static_cast(e))) continue; + in.edges.push_back(static_cast(e)); + in.tail.push_back(edge_src[e]); + in.head.push_back(edge_dst[e]); + in.cost.push_back(cost[e]); + in.cap.push_back(view[e]); + } + for (NodeId s : srcs) { + if (elig == nullptr || elig->node_ok(s)) in.sources.push_back(s); + } + for (NodeId d : dsts) { + if (elig == nullptr || elig->node_ok(d)) in.destinations.push_back(d); + } + solver.build(capture != nullptr); +#if NETGRAPH_CORE_PRIVATE_HOOKS + solver.observe(capture != nullptr ? &capture->on_search : nullptr); +#endif + if (!zero) { + auto r = solver.run(cap.value_or(kUncapped), /*closure=*/true); + out.placed = r.placed; + out.cost_distribution = std::move(r.cost_distribution); + out.edge_flows.assign(num_edges, 0); + for (std::size_t k = 0; k < in.edges.size(); ++k) { + out.edge_flows[static_cast(in.edges[k])] = r.flows[k]; + } + if (r.cut.has_value()) { + std::vector cut; + cut.reserve(r.cut->size()); + for (std::int32_t k : *r.cut) cut.push_back(in.edges[static_cast(k)]); + out.min_cut = std::move(cut); + } + out.potentials = std::move(r.potentials); + out.counters = r.counters; + } + if (capture != nullptr) solver.capture(*capture, out.placed, out.counters); + return out; +} + +SubsetFlow solve_subset(const Graph& g, std::span edges, std::span caps, + std::span sources, std::span destinations, + std::optional cap) { + SubsetFlow out; + out.flows.assign(edges.size(), 0); + if (cap.has_value() && *cap == 0) return out; + const auto edge_src = g.edge_src(); + const auto edge_dst = g.edge_dst(); + const auto cost = g.cost(); + // Compressed vertices in first-touch order. The numbering changes no flow, curve or path: + // the arc order at every vertex is by EdgeId (virtual arc first) and the virtual arcs of s* + // and t* follow the endpoint lists, which stay in ascending NodeId. + NodeMap& map = NodeMap::local(); + map.reset(static_cast(g.num_nodes())); + // The input's storage is the thread's solver's (every field is rewritten here). + FlowSolver& solver = FlowSolver::local(); + Network& in = solver.network(); + in.edges.assign(edges.begin(), edges.end()); + in.tail.clear(); + in.head.clear(); + in.cost.clear(); + in.sources.clear(); + in.destinations.clear(); + for (EdgeId e : edges) { + const auto ei = static_cast(e); + in.tail.push_back(map.add(edge_src[ei])); + in.head.push_back(map.add(edge_dst[ei])); + in.cost.push_back(cost[ei]); + } + for (NodeId v : sources) in.sources.push_back(map.add(v)); + for (NodeId v : destinations) in.destinations.push_back(map.add(v)); + in.num_nodes = static_cast(map.size()); + in.cap.assign(caps.begin(), caps.end()); + solver.build(false); + auto r = solver.run(cap.value_or(kUncapped), /*closure=*/false, /*potentials=*/false); + out.placed = r.placed; + out.flows = std::move(r.flows); + out.cost_distribution = std::move(r.cost_distribution); + return out; +} + +} // namespace netgraph::core::detail diff --git a/src/flow_graph.cpp b/src/flow_ledger.cpp similarity index 82% rename from src/flow_graph.cpp rename to src/flow_ledger.cpp index 8c9e21f..754e0d2 100644 --- a/src/flow_graph.cpp +++ b/src/flow_ledger.cpp @@ -1,43 +1,43 @@ /* - The integer ledger FlowGraph (APPROACH 8). + The integer ledger FlowLedger (APPROACH 8). The aggregate allocation is kept exactly (integers) and changed only by an atomic commit or a detach; residual() is derived from it (baseline - allocated). Records are kept by id (FlowId order); ids come from a per-ledger counter and are never reused, also across reset(). */ -#include "netgraph/core/flow_graph.hpp" +#include "netgraph/core/flow_ledger.hpp" #include #include #include #include +#include "netgraph/core/detail/endpoints.hpp" #include "netgraph/core/detail/ledger_access.hpp" -#include "netgraph/core/detail/search.hpp" #include "netgraph/core/detail/uid.hpp" namespace netgraph::core { -FlowGraph::FlowGraph(std::shared_ptr graph) { - if (!graph) throw std::invalid_argument("FlowGraph: graph is null"); +FlowLedger::FlowLedger(std::shared_ptr graph) { + if (!graph) throw std::invalid_argument("FlowLedger: graph is null"); graph_ = std::move(graph); baseline_.assign(graph_->capacity_units().begin(), graph_->capacity_units().end()); allocated_.assign(baseline_.size(), 0); uid_ = detail::next_uid(); } -FlowGraph::FlowGraph(std::shared_ptr graph, std::span residual) { - if (!graph) throw std::invalid_argument("FlowGraph: graph is null"); +FlowLedger::FlowLedger(std::shared_ptr graph, std::span residual) { + if (!graph) throw std::invalid_argument("FlowLedger: graph is null"); graph_ = std::move(graph); baseline_ = checked_baseline(residual); allocated_.assign(baseline_.size(), 0); uid_ = detail::next_uid(); } -FlowGraph::FlowGraph(const FlowGraph& other) { +FlowLedger::FlowLedger(const FlowLedger& other) { other.check_usable(); if (other.num_bound_ != 0) { - throw std::invalid_argument("FlowGraph: a ledger with bound policies cannot be copied"); + throw std::invalid_argument("FlowLedger: a ledger with bound policies cannot be copied"); } graph_ = other.graph_; uid_ = detail::next_uid(); @@ -51,10 +51,10 @@ FlowGraph::FlowGraph(const FlowGraph& other) { owners_ = other.owners_; // orphans only } -FlowGraph::FlowGraph(FlowGraph&& other) { +FlowLedger::FlowLedger(FlowLedger&& other) { other.check_usable(); if (other.num_bound_ != 0) { - throw std::invalid_argument("FlowGraph: a ledger with bound policies cannot be moved"); + throw std::invalid_argument("FlowLedger: a ledger with bound policies cannot be moved"); } graph_ = std::move(other.graph_); uid_ = other.uid_; @@ -73,11 +73,11 @@ FlowGraph::FlowGraph(FlowGraph&& other) { other.owners_.clear(); } -void FlowGraph::check_usable() const { - if (!usable_) throw std::logic_error("FlowGraph: a moved-from ledger is empty and unusable"); +void FlowLedger::check_usable() const { + if (!usable_) throw std::logic_error("FlowLedger: a moved-from ledger is empty and unusable"); } -std::vector FlowGraph::checked_baseline(std::span residual) const { +std::vector FlowLedger::checked_baseline(std::span residual) const { const auto capacity = graph_->capacity_units(); if (residual.size() != capacity.size()) { throw std::invalid_argument("residual has length " + std::to_string(residual.size()) + ", expected " + @@ -93,34 +93,34 @@ std::vector FlowGraph::checked_baseline(std::span residual return std::vector(residual.begin(), residual.end()); } -std::uint64_t FlowGraph::uid() const { +std::uint64_t FlowLedger::uid() const { check_usable(); return uid_; } -const std::shared_ptr& FlowGraph::graph() const { +const std::shared_ptr& FlowLedger::graph() const { check_usable(); return graph_; } -std::span FlowGraph::capacity_units() const { +std::span FlowLedger::capacity_units() const { check_usable(); return graph_->capacity_units(); } -std::vector FlowGraph::residual() const { +std::vector FlowLedger::residual() const { check_usable(); std::vector out(baseline_.size()); for (std::size_t e = 0; e < out.size(); ++e) out[e] = baseline_[e] - allocated_[e]; return out; } -std::vector FlowGraph::allocated() const { +std::vector FlowLedger::allocated() const { check_usable(); return allocated_; } -std::vector FlowGraph::records() const { +std::vector FlowLedger::records() const { check_usable(); std::vector out; out.reserve(records_.size()); @@ -128,7 +128,7 @@ std::vector FlowGraph::records() const { return out; } -FlowRecord FlowGraph::record(const FlowId& flow_id) const { +FlowRecord FlowLedger::record(const FlowId& flow_id) const { check_usable(); if (flow_id.first != uid_) { throw std::invalid_argument("FlowId (" + std::to_string(flow_id.first) + ", " + std::to_string(flow_id.second) + @@ -142,13 +142,20 @@ FlowRecord FlowGraph::record(const FlowId& flow_id) const { return it->second; } -std::vector FlowGraph::bottleneck(std::span sources, const Eligibility* elig) const { +std::vector FlowLedger::bottleneck(std::span sources, const Eligibility* elig) const { check_usable(); const auto& g = *graph_; const auto srcs = detail::node_set(sources, g.num_nodes(), "sources"); if (elig != nullptr && elig->graph_uid() != g.uid()) { throw std::invalid_argument("foreign Eligibility: built for another graph"); } + return detail::bottleneck_of(g, residual(), srcs, elig); +} + +namespace detail { + +std::vector bottleneck_of(const Graph& g, std::span residual, + std::span sources, const Eligibility* elig) { const auto n = static_cast(g.num_nodes()); const auto m = static_cast(g.num_edges()); const auto edge_src = g.edge_src(); @@ -157,8 +164,9 @@ std::vector FlowGraph::bottleneck(std::span sources, const const auto row = g.row_offsets(); std::vector seen(n, 0); std::vector stack; - for (NodeId s : srcs) { + for (NodeId s : sources) { if (elig != nullptr && !elig->node_ok(s)) continue; + if (seen[static_cast(s)] != 0) continue; seen[static_cast(s)] = 1; stack.push_back(s); } @@ -168,7 +176,7 @@ std::vector FlowGraph::bottleneck(std::span sources, const for (auto e = row[u]; e < row[u + 1]; ++e) { const auto ei = static_cast(e); if (elig != nullptr && !elig->edge_ok(e)) continue; - if (baseline_[ei] - allocated_[ei] < 1) continue; + if (residual[ei] < 1) continue; const auto v = static_cast(edge_dst[ei]); if (seen[v] == 0) { seen[v] = 1; @@ -186,15 +194,17 @@ std::vector FlowGraph::bottleneck(std::span sources, const return out; } -void FlowGraph::reset() { +} // namespace detail + +void FlowLedger::reset() { check_usable(); reset(graph_->capacity_units()); } -void FlowGraph::reset(std::span residual) { +void FlowLedger::reset(std::span residual) { check_usable(); if (num_bound_ != 0) { - throw std::invalid_argument("FlowGraph.reset is rejected while a policy is bound (" + + throw std::invalid_argument("FlowLedger.reset is rejected while a policy is bound (" + std::to_string(num_bound_) + " bound)"); } auto baseline = checked_baseline(residual); @@ -265,20 +275,10 @@ class DeltaScratch { }; FlowRecord record_of(std::uint64_t uid, std::int64_t id, std::int64_t owner, Draft& d) { - FlowRecord rec; + FlowRecord rec = std::move(d.record); rec.flow_id = FlowId {uid, id}; rec.owner = owner; - rec.sources = std::move(d.sources); - rec.destinations = std::move(d.destinations); - rec.placement = d.placement; - rec.admission = d.admission; - rec.bundle = std::move(d.bundle); - rec.route_cost = d.route_cost; - rec.offered = d.offered; - rec.delivered = d.delivered; - rec.edges = std::move(d.edges); std::erase_if(rec.edges, [](const auto& p) { return p.second == 0; }); - rec.drops = std::move(d.drops); std::erase_if(rec.drops, [](const auto& p) { return p.second.is_zero(); }); return rec; } @@ -289,7 +289,7 @@ static_assert(std::is_nothrow_swappable_v>); } // namespace -std::int64_t LedgerAccess::bind(FlowGraph& fg) { +std::int64_t LedgerAccess::bind(FlowLedger& fg) { fg.check_usable(); const std::int64_t owner = fg.next_owner_; fg.owners_.emplace(owner, true); // the only allocation: nothing changes if it throws @@ -298,14 +298,14 @@ std::int64_t LedgerAccess::bind(FlowGraph& fg) { return owner; } -void LedgerAccess::release(FlowGraph& fg, std::int64_t owner) noexcept { +void LedgerAccess::release(FlowLedger& fg, std::int64_t owner) noexcept { const auto it = fg.owners_.find(owner); if (it == fg.owners_.end() || !it->second) return; it->second = false; --fg.num_bound_; } -std::vector LedgerAccess::detach(FlowGraph& fg, std::int64_t owner) { +std::vector LedgerAccess::detach(FlowLedger& fg, std::int64_t owner) { fg.check_usable(); if (!is_bound(fg.owners_, owner)) throw std::logic_error("ledger: detach by an unbound owner"); std::vector ids; @@ -322,7 +322,7 @@ std::vector LedgerAccess::detach(FlowGraph& fg, std::int64_t owner return ids; } -std::vector LedgerAccess::commit(FlowGraph& fg, std::int64_t owner, std::span drafts) { +std::vector LedgerAccess::commit(FlowLedger& fg, std::int64_t owner, std::span drafts) { fg.check_usable(); if (!is_bound(fg.owners_, owner)) throw std::logic_error("ledger: commit by an unbound owner"); // The drafts carry exactly the owner's live records plus new ones. @@ -352,7 +352,8 @@ std::vector LedgerAccess::commit(FlowGraph& fg, std::int64_t owner, std: } bool negative = false; for (const auto& d : drafts) { - for (const auto& [e, x] : d.edges) { + const FlowRecord& r = d.record; + for (const auto& [e, x] : r.edges) { negative = negative || x < 0; delta.add(e, x); } @@ -411,34 +412,34 @@ std::vector LedgerAccess::commit(FlowGraph& fg, std::int64_t owner, std: return created; } -const FlowRecord& LedgerAccess::live(const FlowGraph& fg, std::int64_t id) { +const FlowRecord& LedgerAccess::live(const FlowLedger& fg, std::int64_t id) { const auto it = fg.records_.find(id); if (it == fg.records_.end()) throw std::invalid_argument("ledger: retired or unknown flow id " + std::to_string(id)); return it->second; } -void LedgerAccess::residual_into(const FlowGraph& fg, std::vector& out) { +void LedgerAccess::residual_into(const FlowLedger& fg, std::vector& out) { fg.check_usable(); out.resize(fg.baseline_.size()); for (std::size_t e = 0; e < out.size(); ++e) out[e] = fg.baseline_[e] - fg.allocated_[e]; } -std::span LedgerAccess::baseline(const FlowGraph& fg) { +std::span LedgerAccess::baseline(const FlowLedger& fg) { fg.check_usable(); return fg.baseline_; } -std::span LedgerAccess::allocated(const FlowGraph& fg) { +std::span LedgerAccess::allocated(const FlowLedger& fg) { fg.check_usable(); return fg.allocated_; } -std::int64_t LedgerAccess::next_flow_id(const FlowGraph& fg) { +std::int64_t LedgerAccess::next_flow_id(const FlowLedger& fg) { fg.check_usable(); return fg.next_id_; } -std::vector LedgerAccess::bound_owners(const FlowGraph& fg) { +std::vector LedgerAccess::bound_owners(const FlowLedger& fg) { fg.check_usable(); std::vector out; for (const auto& [owner, bound] : fg.owners_) { @@ -447,7 +448,7 @@ std::vector LedgerAccess::bound_owners(const FlowGraph& fg) { return out; } -std::vector LedgerAccess::orphan_owners(const FlowGraph& fg) { +std::vector LedgerAccess::orphan_owners(const FlowLedger& fg) { fg.check_usable(); std::vector out; for (const auto& [owner, bound] : fg.owners_) { diff --git a/src/flow_policy.cpp b/src/flow_policy.cpp new file mode 100644 index 0000000..7c6a247 --- /dev/null +++ b/src/flow_policy.cpp @@ -0,0 +1,1741 @@ +/* + The policy engine FlowPolicy (APPROACH 8 and 9): one placement transaction for every routing + mode, committed through the ledger as one atomic exchange per call. + + * CostOnly, CapacityAware and Pinned run the per-source transaction of 9.2 and 9.3: the + roster (fixed at construction) in ascending NodeId, each source offered the increment of its + round-robin share of the cumulative request, stages 1 (creation), 2 (reoptimisation), 3 + (amounts) and 4 (growth) on the shared working residual W; one `created` counter per call. + Pinned has one actor, the policy, with its one source. + * Global re-solves the minimum-cost flow of the cumulative value on V = W + own (the flow core + of 2.2 over the whole eligible graph) and decomposes it per source canonically (9.1). + + Every stage works on copies; nothing is published before the commit, which either succeeds or + throws leaving the ledger and the policy unchanged; the epoch state follows the commit with + operations that cannot throw. The working residual is a per-thread overlay over the ledger's + residual (only the edges a call touches cost anything), so a Pinned call, and a CostOnly call + after its cohort's creation, costs O(its flows' members), never O(E); CostOnly creation of a + single path, CapacityAware searches and Global solves read a dense copy. + + The transaction trace (prototype 2's keys) exists in a build with the private hooks only: every + trace block is guarded by kTraced and is compile-time dead without them. +*/ +#include "netgraph/core/flow_policy.hpp" + +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/endpoints.hpp" +#include "netgraph/core/detail/enum_domain.hpp" +#include "netgraph/core/detail/flow_core.hpp" +#include "netgraph/core/detail/int128.hpp" +#include "netgraph/core/detail/kernels.hpp" +#include "netgraph/core/detail/ledger_access.hpp" +#include "netgraph/core/detail/node_map.hpp" +#include "netgraph/core/detail/policy_engine.hpp" +#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/detail/private_hooks.hpp" +#include "netgraph/core/detail/search.hpp" +#include "netgraph/core/detail/trace.hpp" + +namespace netgraph::core { + +namespace detail { + +#if NETGRAPH_CORE_PRIVATE_HOOKS +std::atomic& max_flows_per_call() noexcept { + static std::atomic cap {kMaxFlowsPerCall}; + return cap; +} + +std::atomic& sensitivity_fail_edge() noexcept { + static std::atomic edge {-1}; + return edge; +} +#endif + +namespace { + +// ================================================================ working residual + +// W = baseline - allocated + delta, the delta being this call's working changes (releases of the +// policy's own allocations and new working allocations). Per-thread slots stamped with the +// call's epoch: a slot is valid only under the current epoch, so nothing is cleared between calls +// and a call that throws leaves stale slots behind an old epoch. One array of slots: growing it +// either succeeds whole or leaves the previous array (strong guarantee). +class Working { +public: + explicit Working(const FlowLedger& fg) + : s_(storage()), base_(LedgerAccess::baseline(fg)), held_(LedgerAccess::allocated(fg)) { + if (s_.slot.size() < base_.size()) s_.slot.resize(base_.size()); + if (++s_.epoch == 0) { + for (auto& x : s_.slot) x.stamp = 0; + s_.epoch = 1; + } + } + Working(const Working&) = delete; + Working& operator=(const Working&) = delete; + + [[nodiscard]] Amount at(EdgeId e) const noexcept { + const auto ei = static_cast(e); + const auto& x = s_.slot[ei]; + return base_[ei] - held_[ei] + (x.stamp == s_.epoch ? x.delta : 0); + } + void add(EdgeId e, Amount v) noexcept { + auto& x = s_.slot[static_cast(e)]; + if (x.stamp != s_.epoch) { + x.stamp = s_.epoch; + x.delta = 0; + } + x.delta += v; + } + // The member-aligned working residual of `members`. + void gather(std::span members, std::vector& out) const { + out.resize(members.size()); + for (std::size_t m = 0; m < members.size(); ++m) out[m] = at(members[m]); + } + // The dense working residual (searches, Global, traces). + void dense(std::vector& out) const { + out.resize(base_.size()); + for (std::size_t e = 0; e < out.size(); ++e) { + const auto& x = s_.slot[e]; + out[e] = base_[e] - held_[e] + (x.stamp == s_.epoch ? x.delta : 0); + } + } + // W += a (release) or W -= a (consume) over member-aligned amounts. + void release(std::span members, std::span a) noexcept { + for (std::size_t m = 0; m < members.size(); ++m) { + if (a[m] != 0) add(members[m], a[m]); + } + } + void consume(std::span members, std::span a) noexcept { + for (std::size_t m = 0; m < members.size(); ++m) { + if (a[m] != 0) add(members[m], -a[m]); + } + } + +private: + struct Slot { + Amount delta {0}; + std::uint32_t stamp {0}; + }; + struct Storage { + std::vector slot; + std::uint32_t epoch {0}; + }; + static Storage& storage() { + thread_local Storage st; + return st; + } + Storage& s_; + std::span base_; + std::span held_; +}; + +// ================================================================ small helpers + +[[noreturn]] void invalid(const std::string& what) { throw std::invalid_argument(what); } + +// The policy's routing mode (the tag of the Routing variant). +template +bool is(const PolicyEngine& pe) noexcept { + return std::holds_alternative(pe.config.routing); +} + +std::string str(std::int64_t v) { return std::to_string(v); } + +const char* outcome_name(Termination t) noexcept { + switch (t) { + case Termination::Complete: return "complete"; + case Termination::LimitFlows: return "limit_flows"; + case Termination::LimitDiminishing: return "limit_diminishing"; + case Termination::NoRoute: return "no_route"; + case Termination::Exhausted: return "exhausted"; + } + return "?"; +} + +// The reduction rank of 9.4 (higher wins among unserved sources). +int rank(Termination t) noexcept { + switch (t) { + case Termination::LimitFlows: return 4; + case Termination::LimitDiminishing: return 3; + case Termination::Exhausted: return 2; + case Termination::NoRoute: return 1; + case Termination::Complete: return 0; + } + return 0; +} + +Trace amount_or_inf(std::optional v) { return v.has_value() ? Trace::integer(*v) : Trace::str("inf"); } + +// cost <= f * base, exactly: f is the dyadic rational it is (f >= 1, finite), base >= 1. +// f = m * 2^x with m odd below 2^53; products stay within 128 bits (APPROACH 6). +bool stretch_le(Cost cost, Cost base, double f) { + const auto [m, x] = dyadic(f); + const U128 rhs = mul_u64(static_cast(base), m); // below 2^115 + if (x >= 0) { + if (bits(rhs) + x > 64) return true; // rhs * 2^x >= 2^64 > cost + return !(shl(rhs, x) < U128 {0, static_cast(cost)}); + } + // f >= 1 with m < 2^53: -x < 53, so cost * 2^-x < 2^116. + const U128 lhs = shl(U128 {0, static_cast(cost)}, -x); + return !(rhs < lhs); +} + +// The member-aligned amounts of a record's (EdgeId, amount) pairs (both ascending). +template +void align(std::span members, const std::vector>& pairs, std::vector& out) { + out.assign(members.size(), T {}); + std::size_t m = 0; + for (const auto& [e, x] : pairs) { + while (m < members.size() && members[m] < e) ++m; + if (m == members.size() || members[m] != e) { + throw std::logic_error("policy: a record's allocation lies outside its flow's split graph"); + } + out[m] = x; + } +} + +// Round robin of a cumulative 128-bit request: the per-source increment of the share when the +// cumulative request goes from R to R + v over k sources (APPROACH 9.3). It depends only on +// r = R mod k: floor((r + v) / k) + [i < (r + v) mod k] - [i < r]. +std::vector cumulative_offers(const Counter128& requested, Amount v, std::size_t k) { + const auto kk = static_cast(k); + const std::uint64_t two64 = ((std::numeric_limits::max() % kk) + 1) % kk; + const std::uint64_t r = ((requested.hi % kk) * two64 % kk + requested.lo % kk) % kk; + const auto total = static_cast(v) + r; + const auto base = static_cast(total / kk); + const std::uint64_t extra = total % kk; + std::vector out(k); + for (std::size_t i = 0; i < k; ++i) { + out[i] = base + (i < extra ? 1 : 0) - (i < r ? 1 : 0); + } + return out; +} + +// ================================================================ working flows + +struct WorkFlow { + std::int64_t id {-1}; // -1: created in this call + NodeId src {0}; + std::shared_ptr plan {}; + std::shared_ptr bundle {}; + Cost cost {kUnreachable}; + std::int32_t bundle_index {-1}; + Amount T {0}; // Lossless: the cumulative amount (= delivered) + std::vector alloc {}; // member-aligned with plan->members (cumulative carried for Lossy) + std::optional offered {}; // Lossy + Amount delivered {0}; // Lossy (Lossless: T) + std::vector drops {}; // Lossy, member-aligned, cumulative + std::int64_t seq {0}; // creation order within the call (new flows) + [[nodiscard]] bool is_new() const noexcept { return id < 0; } + [[nodiscard]] std::span members() const noexcept { return plan->members; } +}; + +struct SourceRun { + std::size_t ri {0}; + NodeId src {0}; + std::optional offer {}; // nullopt: +inf + Amount P {0}; + std::optional B {}; + Amount T_entry {0}; + std::vector flows {}; + bool capped {false}; + std::optional limit {}; + std::vector gains {}; + Amount injected {0}; + Trace* tr {nullptr}; // this source's trace map +}; + +struct Call { + PolicyEngine& pe; + const Graph& g; + Working& W; + std::int64_t cap {kMaxFlowsPerCall}; + std::int64_t created {0}; + bool routes_changed {false}; + bool weights_changed {false}; + std::int64_t seq {0}; + std::vector> drops {}; + Trace* trace {nullptr}; +}; + +// ================================================================ routes and plans + +struct Route { + std::vector edges {}; // ascending + Cost cost {kUnreachable}; +}; + +// A flow's plan on its route (the record's bundle) with its membership captured on the creation +// view (Weighted Residual: `dense_view` when the search read one, else the working residual W); +// with `cost`, the route's minimum walk cost. +std::shared_ptr plan_on(const Call& c, NodeId src, const PredDAG& route, + const std::vector* dense_view, Cost* cost) { + const auto& cfg = c.pe.config; + std::vector creation; + if (cfg.placement == FlowPlacement::Weighted && cfg.selection.priority == EdgePriority::Residual) { + const auto edges = PredDAGBuilder::ascending(route); + creation.resize(edges.size()); + for (std::size_t i = 0; i < edges.size(); ++i) { + creation[i] = dense_view != nullptr ? (*dense_view)[static_cast(edges[i])] : c.W.at(edges[i]); + } + } + return std::make_shared( + make_plan(c.g, cfg.placement, cfg.admission, cfg.selection.priority, src, c.pe.dests_ok, route, creation, cost)); +} + +// The record bundle of a route: `share` itself when it is the whole route, else a new DAG. +std::shared_ptr bundle_of(const Graph& g, std::span route, + const std::shared_ptr& share) { + if (share && PredDAGBuilder::ascending(*share).size() == route.size()) return share; + return std::make_shared(PredDAGBuilder::of_edges(g, route)); +} + +// CostOnly: the static support restricted to the walks from src (a forward reachability over the +// support's edges: B' ids rank edges by source, so a node's support out-edges are one range of +// the ascending edge list), then the selection projected on the creation view W (APPROACH 9.1, +// 10): Collapse by (cost, priority under PreferHigherPriority, lowest EdgeId), and the staged +// canonical single path for multipath = false. +Route cost_only_route(const Call& c, NodeId src) { + const auto& g = c.g; + const auto& pe = c.pe; + const auto& sel = pe.config.selection; + const auto support = PredDAGBuilder::ascending(*pe.support); + const auto row = g.row_offsets(); + const auto edge_dst = g.edge_dst(); + const auto edge_src = g.edge_src(); + std::vector route; + { + // Visited nodes in the per-thread node map (released before any routine that uses it). + NodeMap& map = NodeMap::local(); + map.reset(static_cast(g.num_nodes())); + std::vector stack {src}; + (void)map.add(src); + while (!stack.empty()) { + const NodeId u = stack.back(); + stack.pop_back(); + auto it = std::lower_bound(support.begin(), support.end(), row[static_cast(u)]); + for (; it != support.end() && *it < row[static_cast(u) + 1]; ++it) { + route.push_back(*it); + const NodeId v = edge_dst[static_cast(*it)]; + if (map.of(v) < 0) { + (void)map.add(v); + stack.push_back(v); + } + } + } + std::sort(route.begin(), route.end()); + } + Route out; + if (!sel.multi_edge) { + // One member per (u, v) by select_adjacency on the creation view W (the support has no + // residual gating, so the projection reads W's priority values, never gates on them): the + // members of a pair are consecutive in id order (B' ranks by (src, cost, dst, input)). + const bool prefer = sel.tie_break == EdgeTieBreak::PreferHigherPriority; + const auto capacity = g.capacity_units(); + auto value = [&](EdgeId e) { return priority_value(sel.priority, c.W.at(e), capacity[static_cast(e)]); }; + std::vector kept; + for (std::size_t i = 0; i < route.size();) { + const auto ui = static_cast(route[i]); + EdgeId best = route[i]; + std::size_t j = i + 1; + for (; j < route.size() && edge_src[static_cast(route[j])] == edge_src[ui] && + edge_dst[static_cast(route[j])] == edge_dst[ui]; + ++j) { + if (replaces(g, route[j], best, prefer, value)) best = route[j]; + } + kept.push_back(best); + i = j; + } + route = std::move(kept); + } + if (sel.multipath) { + out.edges = std::move(route); + return out; + } + // The staged canonical single path over the (collapsed) support of the source. + std::vector member(static_cast(g.num_edges()), 0); + for (EdgeId e : route) member[static_cast(e)] = 1; + std::vector wd; + std::optional prio; + if (sel.tie_break == EdgeTieBreak::PreferHigherPriority) { + c.W.dense(wd); + prio = PriorityValues {&g, sel.priority, wd}; + } + const NodeId s[1] = {src}; + auto path = canonical_path(g, member, s, pe.dests_ok, prio ? &*prio : nullptr); + if (path.has_value()) { + out.edges = path->walk; + std::sort(out.edges.begin(), out.edges.end()); + out.cost = path->cost; + } + return out; +} + +// CapacityAware: the canonical route of section 6 on the selection view `view` (dense): static +// eligibility, residual >= max(1, min_flow_bandwidth), Collapse on the view, the tight DAG or the +// staged single path toward the allowed destinations, then the max_path_cost ceiling. +std::optional search(const Call& c, std::size_t ri, std::span view) { + const auto& pe = c.pe; + const auto& g = c.g; + const auto& ca = std::get(pe.config.routing); + const auto& sel = pe.config.selection; + const Amount threshold = std::max(1, ca.min_flow_bandwidth); + const auto member = member_mask(g, pe.elig, sel, view, threshold); + const NodeId s[1] = {pe.roster[ri]}; + Route out; + if (sel.multipath) { + auto tight = tight_dag(g, member, s, pe.dests_ok); + if (tight.cost == kUnreachable) return std::nullopt; + out.edges = std::move(tight.edges); + out.cost = tight.cost; + } else { + const PriorityValues prio {&g, sel.priority, view}; + const bool prefer = sel.tie_break == EdgeTieBreak::PreferHigherPriority; + auto path = canonical_path(g, member, s, pe.dests_ok, prefer ? &prio : nullptr); + if (!path.has_value()) return std::nullopt; + out.edges = std::move(path->walk); + std::sort(out.edges.begin(), out.edges.end()); + out.cost = path->cost; + } + if (ca.max_path_cost.has_value()) { + if (const auto* a = std::get_if(&*ca.max_path_cost)) { + if (out.cost > a->cost) return std::nullopt; + } else { + // The roster holds the sources with a static route, so the baseline is a positive cost. + if (!stretch_le(out.cost, pe.baseline[ri], std::get(*ca.max_path_cost).factor)) return std::nullopt; + } + } + return out; +} + +// ================================================================ amounts of one flow + +// T_max of a flow on a member-aligned view (the trace's bounds): MaxFlow's uncapped step from 0, +// else the exact search. +Amount flow_t_max(const Graph& g, const KernelPlan& plan, std::span view_m) { + if (plan.members.empty()) return 0; + if (plan.placement == FlowPlacement::MaxFlow) return lossless_step(g, plan, 0, view_m, {}, std::nullopt).total; + return t_max(plan, view_m).value; +} + +// ================================================================ the cohort (EqualBalanced) + +// The cohort allocation of an EqualBalanced cohort (APPROACH 16.5): T split by round robin over +// the flows in order, each flow's own plan, summed per edge over the union of members. +class CohortEval { +public: + CohortEval(const std::vector& plans, const Working& W) : plans_(plans) { + for (const auto* p : plans_) uni_.insert(uni_.end(), p->members.begin(), p->members.end()); + std::sort(uni_.begin(), uni_.end()); + uni_.erase(std::unique(uni_.begin(), uni_.end()), uni_.end()); + idx_.resize(plans_.size()); + for (std::size_t i = 0; i < plans_.size(); ++i) { + idx_[i].resize(plans_[i]->members.size()); + for (std::size_t m = 0; m < plans_[i]->members.size(); ++m) { + idx_[i][m] = static_cast(std::lower_bound(uni_.begin(), uni_.end(), plans_[i]->members[m]) - + uni_.begin()); + } + } + W.gather(uni_, view_); + acc_.assign(uni_.size(), 0); + // The search's upper bound: the view summed over the source members of every flow. + std::vector src_member(uni_.size(), 0); + for (std::size_t i = 0; i < plans_.size(); ++i) { + for (auto k = plans_[i]->src_out_begin; k < plans_[i]->src_out_end; ++k) { + src_member[static_cast(idx_[i][static_cast(k)])] = 1; + } + } + for (std::size_t u = 0; u < uni_.size(); ++u) { + if (src_member[u] != 0) hi_ += view_[u]; + } + } + [[nodiscard]] Amount upper() const noexcept { return hi_; } + + // Whether the cohort allocation at total T fits the view. + bool fits(Amount T) { + std::fill(acc_.begin(), acc_.end(), 0); + const auto k = plans_.size(); + std::vector parts(k); + round_robin(T, parts); + for (std::size_t i = 0; i < k; ++i) { + if (parts[i] == 0) continue; + tmp_.resize(plans_[i]->members.size()); + allocate(*plans_[i], parts[i], tmp_); + for (std::size_t m = 0; m < tmp_.size(); ++m) { + const auto u = static_cast(idx_[i][m]); + acc_[u] += tmp_[m]; + if (acc_[u] > view_[u]) return false; + } + } + return true; + } + // The largest T in [lo, hi] that fits, given fits(lo) (bisection, exact; at most 62 probes). + Amount largest(Amount lo, Amount hi) { + while (lo < hi) { + const Amount mid = lo + (hi - lo + 1) / 2; + if (fits(mid)) { + lo = mid; + } else { + hi = mid - 1; + } + } + return lo; + } + // The full T_max (the trace's `bound`). + Amount t_max() { return largest(0, hi_); } + +private: + const std::vector& plans_; + std::vector uni_ {}; + std::vector> idx_ {}; + std::vector view_ {}; + std::vector acc_ {}; + std::vector tmp_ {}; + Amount hi_ {0}; +}; + +// Splits T over the cohort by round robin; a flow whose share changed (or is new) gets the +// allocation of its new share (APPROACH 9.2 stage 3 EB). +void set_cohort(std::vector& flows, Amount T) { + std::vector parts(flows.size()); + round_robin(T, parts); + for (std::size_t i = 0; i < flows.size(); ++i) { + auto& f = flows[i]; + if (parts[i] != f.T || f.is_new()) { + std::vector a(f.plan->members.size()); + allocate(*f.plan, parts[i], a); + f.alloc = std::move(a); + } + f.T = parts[i]; + } +} + +std::vector plans_of(const std::vector& flows) { + std::vector out; + out.reserve(flows.size() + 1); + for (const auto& f : flows) out.push_back(f.plan.get()); + return out; +} + +// ---------------------------------------------------------------- outputs + +// The optional outputs of a call whose policy allocation becomes `after` (the records' edge +// lists), computed before the commit (so nothing allocates once the ledger changed): +// edge_flows = the policy's own allocation after the call, residual = the ledger's after it +// (now + own before - own after), bottleneck on that residual. +void prepare_outputs(const PolicyEngine& pe, const OutputOptions& outputs, + const std::vector>*>& after, PlacementResult& out) { + if (!outputs.edge_flows && !outputs.residual && !outputs.bottleneck) return; + const auto m = static_cast(pe.graph->num_edges()); + std::vector own(m, 0); + for (const auto* edges : after) { + for (const auto& [e, x] : *edges) own[static_cast(e)] += x; + } + if (outputs.residual || outputs.bottleneck) { + std::vector res; + LedgerAccess::residual_into(pe.fg, res); + for (const auto& cohort : pe.cohorts) { + for (const auto& s : cohort) { + for (const auto& [e, x] : LedgerAccess::live(pe.fg, s.id).edges) res[static_cast(e)] += x; + } + } + for (std::size_t e = 0; e < m; ++e) res[e] -= own[e]; + if (outputs.bottleneck) out.bottleneck = bottleneck_of(*pe.graph, res, pe.sources, pe.elig); + if (outputs.residual) out.residual = std::move(res); + } + if (outputs.edge_flows) out.edge_flows = std::move(own); +} + +// The current records' edge lists (a call that commits nothing). +std::vector>*> current_edges(const PolicyEngine& pe) { + std::vector>*> out; + for (const auto& cohort : pe.cohorts) { + for (const auto& s : cohort) out.push_back(&LedgerAccess::live(pe.fg, s.id).edges); + } + return out; +} + +bool any_output(const OutputOptions& outputs) noexcept { + return outputs.edge_flows || outputs.residual || outputs.bottleneck; +} + +std::vector>*> draft_edges(const std::vector& drafts) { + std::vector>*> out; + out.reserve(drafts.size()); + for (const auto& d : drafts) out.push_back(&d.record.edges); + return out; +} + +// ================================================================ the transaction + +Trace route_trace(std::span edges) { return Trace::ints(edges); } + +Trace alloc_trace(const WorkFlow& f) { + Trace t = Trace::list(); + const auto members = f.members(); + for (std::size_t m = 0; m < members.size(); ++m) { + if (f.alloc[m] == 0) continue; + Trace p = Trace::list(); + p.push(Trace::integer(members[m])); + p.push(Trace::integer(f.alloc[m])); + t.push(std::move(p)); + } + return t; +} + +// A new working flow on `bundle` (its record's bundle) with the route's cost (kUnreachable: +// computed with the plan) and its plan captured on the creation view, unless the route's static +// plan is given. +WorkFlow new_flow(Call& c, NodeId src, std::shared_ptr bundle, Cost cost, + const std::vector* dense_view, std::shared_ptr plan = nullptr) { + WorkFlow f; + f.src = src; + f.bundle = std::move(bundle); + f.cost = cost; + f.plan = plan ? std::move(plan) : plan_on(c, src, *f.bundle, dense_view, cost == kUnreachable ? &f.cost : nullptr); + f.alloc.assign(f.plan->members.size(), 0); + if (c.pe.config.admission == Admission::Lossy) { + f.offered = Counter128 {}; + f.drops.assign(f.plan->members.size(), Counter128 {}); + } + return f; +} + +// ---------------------------------------------------------------- stage 1: creation + +void stage1(Call& c, SourceRun& st) { + auto& pe = c.pe; + Trace tr = Trace::map(); + if (is(pe)) { + const Route route = cost_only_route(c, st.src); + if (kTraced && c.trace) tr.set("route", route_trace(route.edges)); + WorkFlow f = new_flow(c, st.src, bundle_of(c.g, route.edges, pe.support), route.cost, nullptr); + f.seq = ++c.seq; + st.flows.push_back(std::move(f)); + } else if (is(pe)) { + const bool captured = pe.config.placement == FlowPlacement::Weighted && + pe.config.selection.priority == EdgePriority::Residual; + Trace usable = Trace::list(); + for (std::int32_t i : pe.usable) { + const auto& b = pe.bundles[static_cast(i)]; + WorkFlow f = new_flow(c, st.src, b.route_dag, b.cost, nullptr, captured ? nullptr : b.route_plan); + f.bundle_index = i; + f.seq = ++c.seq; + st.flows.push_back(std::move(f)); + if (kTraced && c.trace) usable.push(Trace::integer(i)); + } + if (kTraced && c.trace) tr.set("usable", std::move(usable)); + } else { + const auto& ca = std::get(pe.config.routing); + std::vector S; + c.W.dense(S); + std::optional rem = st.offer; + std::optional target; + if (pe.config.placement == FlowPlacement::EqualBalanced && st.offer.has_value()) { + target = (st.P + *st.offer) / ca.flow_count; + } + Trace reservations = Trace::list(); + const std::int64_t budget = std::min(ca.flow_count, std::max(0, c.cap - c.created)); + bool stopped = false; + std::vector view_m; + std::vector zeros; + for (std::int64_t i = 0; i < budget; ++i) { + auto route = search(c, st.ri, S); + if (!route.has_value()) { + stopped = true; + break; + } + WorkFlow f = new_flow(c, st.src, bundle_of(c.g, route->edges, nullptr), route->cost, &S); + const auto members = f.members(); + view_m.resize(members.size()); + for (std::size_t m = 0; m < members.size(); ++m) view_m[m] = S[static_cast(members[m])]; + zeros.assign(members.size(), 0); + std::optional request = pe.config.placement == FlowPlacement::EqualBalanced ? target : rem; + auto step = lossless_step(c.g, *f.plan, 0, view_m, zeros, request); + const Amount t = step.total; + if (pe.config.placement != FlowPlacement::EqualBalanced && rem.has_value()) *rem -= t; + if (kTraced && c.trace) { + Trace row = Trace::map(); + row.set("route", route_trace(route->edges)); + row.set("S", Trace::ints(S)); + row.set("T_bound", Trace::integer(flow_t_max(c.g, *f.plan, view_m))); + row.set("reserved", Trace::integer(t)); + reservations.push(std::move(row)); + } + for (std::size_t m = 0; m < members.size(); ++m) S[static_cast(members[m])] -= step.alloc[m]; + f.seq = ++c.seq; + st.flows.push_back(std::move(f)); + ++c.created; + } + st.capped = budget < ca.flow_count && !stopped; + if (kTraced && c.trace) { + tr.set("eb_target", target.has_value() ? Trace::integer(*target) : Trace::null()); + tr.set("reservations", std::move(reservations)); + tr.set("created_cap_blocked", Trace::boolean(st.capped)); + } + } + if (!st.flows.empty()) c.routes_changed = true; + if (kTraced && st.tr) st.tr->set("stage1", std::move(tr)); +} + +// ---------------------------------------------------------------- stage 2: reoptimisation + +void stage2(Call& c, SourceRun& st) { + Trace rows = Trace::list(); + std::vector Wi; + std::vector view_m; + std::vector zeros; + for (auto& f : st.flows) { + if (f.is_new()) continue; + c.W.dense(Wi); + const auto members = f.members(); + for (std::size_t m = 0; m < members.size(); ++m) Wi[static_cast(members[m])] += f.alloc[m]; + auto cand = search(c, st.ri, Wi); + Trace row = Trace::map(); + if (kTraced && c.trace) { + row.set("flow", Trace::ints(std::vector {static_cast(c.pe.fg.uid()), f.id})); + row.set("T", Trace::integer(f.T)); + row.set("candidate", cand.has_value() ? route_trace(cand->edges) : Trace::null()); + } + if (!cand.has_value() || cand->edges == f.plan->route) { + if (kTraced && c.trace) { + row.set("decision", Trace::str("kept")); + rows.push(std::move(row)); + } + continue; + } + WorkFlow trial = new_flow(c, st.src, bundle_of(c.g, cand->edges, nullptr), cand->cost, &Wi); + const auto tm = trial.members(); + view_m.resize(tm.size()); + for (std::size_t m = 0; m < tm.size(); ++m) view_m[m] = Wi[static_cast(tm[m])]; + zeros.assign(tm.size(), 0); + // The candidate's allocation at T_i (adopted iff it delivers T_i exactly). + auto step = lossless_step(c.g, *trial.plan, 0, view_m, zeros, f.T); + if (step.total < f.T) { + if (kTraced && c.trace) { + row.set("decision", Trace::str("rejected: delivers less than T_i")); + row.set("bound", Trace::integer(flow_t_max(c.g, *trial.plan, view_m))); + rows.push(std::move(row)); + } + continue; + } + // Adopted: a replacement at T_i; W := W_i - alloc_c. + c.W.release(members, f.alloc); + trial.alloc = std::move(step.alloc); + c.W.consume(tm, trial.alloc); + f.plan = std::move(trial.plan); + f.bundle = std::move(trial.bundle); + f.cost = trial.cost; + f.alloc = std::move(trial.alloc); + c.routes_changed = true; + if (c.pe.config.placement == FlowPlacement::Weighted) c.weights_changed = true; + if (kTraced && c.trace) { + row.set("decision", Trace::str("adopted")); + row.set("alloc", alloc_trace(f)); + rows.push(std::move(row)); + } + } + if (kTraced && st.tr) st.tr->set("stage2", std::move(rows)); +} + +// ---------------------------------------------------------------- stage 3: amounts + +// The member-aligned view of stage 3, per thread: every use gathers it whole first, and no use +// nests another, so its contents never outlive one flow's step. +std::vector& view_scratch() { + thread_local std::vector v; + return v; +} + +void stage3_seq(Call& c, SourceRun& st) { + Trace rows = Trace::list(); + std::vector& view_m = view_scratch(); + for (auto& f : st.flows) { + const auto members = f.members(); + c.W.release(members, f.alloc); // V = W + own + c.W.gather(members, view_m); + const Amount T0 = f.T; + auto step = lossless_step(c.g, *f.plan, f.T, view_m, f.alloc, st.B); + f.T = step.total; + f.alloc = std::move(step.alloc); + c.W.consume(members, f.alloc); // W = V - alloc + if (st.B.has_value()) *st.B -= f.T - T0; + if (kTraced && c.trace) { + Trace row = Trace::map(); + row.set("T", Trace::ints(std::vector {T0, f.T})); + row.set("curve", f.plan->placement == FlowPlacement::MaxFlow ? Trace::pairs(step.cost_distribution) : Trace::null()); + row.set("alloc", alloc_trace(f)); + rows.push(std::move(row)); + } + } + if (kTraced && st.tr) st.tr->set("stage3", std::move(rows)); +} + +void stage3_eb(Call& c, SourceRun& st) { + auto& flows = st.flows; + Amount T = 0; + for (const auto& f : flows) T += f.T; + for (const auto& f : flows) c.W.release(f.members(), f.alloc); // V = W + cohort allocation + Amount t_new = T; + std::optional bound; + if (flows.size() == 1) { + auto& f = flows.front(); + std::vector& view_m = view_scratch(); + c.W.gather(f.members(), view_m); + auto step = lossless_step(c.g, *f.plan, f.T, view_m, f.alloc, st.B); + t_new = step.total; + f.alloc = std::move(step.alloc); + f.T = t_new; + if (kTraced && c.trace) bound = flow_t_max(c.g, *f.plan, view_m); + } else { + const auto plans = plans_of(flows); + CohortEval cohort(plans, c.W); + const Amount target = st.B.has_value() ? T + *st.B : cohort.upper(); + if (target > T) { + t_new = cohort.fits(target) ? target : cohort.largest(T, target - 1); + } + if (kTraced && c.trace) bound = cohort.t_max(); + set_cohort(flows, t_new); + } + for (const auto& f : flows) c.W.consume(f.members(), f.alloc); + if (st.B.has_value()) *st.B -= t_new - T; + if (kTraced && st.tr) { + Trace row = Trace::map(); + row.set("T", Trace::ints(std::vector {T, t_new})); + row.set("bound", bound.has_value() ? Trace::integer(*bound) : Trace::null()); + Trace shares = Trace::list(); + for (const auto& f : flows) shares.push(Trace::integer(f.T)); + row.set("shares", std::move(shares)); + st.tr->set("stage3", std::move(row)); + } +} + +void stage3_lossy(Call& c, SourceRun& st) { + auto& flows = st.flows; + std::vector offers(flows.size(), 0); + if (st.offer.has_value()) round_robin(*st.offer, offers); + Trace rows = Trace::list(); + std::vector w_m; + for (std::size_t i = 0; i < flows.size(); ++i) { + auto& f = flows[i]; + const std::optional offer = st.offer.has_value() ? std::optional(offers[i]) : std::nullopt; + const auto members = f.members(); + c.W.gather(members, w_m); + const auto step = lossy_step(*f.plan, offer, w_m); + c.W.consume(members, step.carried); + for (std::size_t m = 0; m < members.size(); ++m) { + f.alloc[m] += step.carried[m]; + if (step.drops[m] != 0) { + if (!f.drops[m].add(step.drops[m])) throw std::invalid_argument("a cumulative drop counter would reach 2^127"); + c.drops.emplace_back(members[m], step.drops[m]); + } + } + if (!f.offered->add(step.offered)) throw std::invalid_argument("the cumulative offered counter would reach 2^127"); + f.delivered += step.delivered; + st.injected += step.injected; + if (kTraced && c.trace) { + Trace row = Trace::map(); + row.set("offer", amount_or_inf(offer)); + row.set("offered", Trace::integer(step.offered)); + row.set("delivered", Trace::integer(step.delivered)); + std::vector> carried, drops; + for (std::size_t m = 0; m < members.size(); ++m) { + if (step.carried[m] != 0) carried.emplace_back(members[m], step.carried[m]); + if (step.drops[m] != 0) drops.emplace_back(members[m], step.drops[m]); + } + row.set("carried", Trace::pairs(carried)); + row.set("drops", Trace::pairs(drops)); + rows.push(std::move(row)); + } + } + if (kTraced && st.tr) { + st.tr->set("stage3", std::move(rows)); + st.tr->set("injected", Trace::integer(st.injected)); + } +} + +// ---------------------------------------------------------------- stage 4: growth + +// fraction * v as the reduced rational "num/den" (or "num"), prototype 2's trace text. +std::string fraction_text(double fraction, Amount v) { + const auto [m, x] = dyadic(fraction); + U128 num = mul_u64(m, static_cast(v)); + int k = -x; // den = 2^k + while (k > 0 && (num.lo & 1U) == 0 && !(num == U128 {0, 0})) { + num = U128 {num.hi >> 1, (num.lo >> 1) | (num.hi << 63)}; + --k; + } + if (num == U128 {0, 0}) return "0"; + auto dec = [](U128 n) { + std::string out; + while (!(n == U128 {0, 0})) { + const std::uint64_t hi_q = n.hi / 10; + const std::uint64_t hi_r = n.hi % 10; + const std::uint64_t lo_q = div_u128(U128 {hi_r, n.lo}, 10); + const std::uint64_t lo_r = n.lo - lo_q * 10; // the remainder of (hi_r * 2^64 + lo) / 10 + out.push_back(static_cast('0' + lo_r)); + n = U128 {hi_q, lo_q}; + } + std::reverse(out.begin(), out.end()); + return out; + }; + if (k == 0) return dec(num); + if (k <= 126) return dec(num) + "/" + dec(k >= 64 ? U128 {std::uint64_t {1} << (k - 64), 0} : U128 {0, std::uint64_t {1} << k}); + return dec(num) + "/2**" + std::to_string(k); +} + +// gains.sum < fraction * v, exactly (fraction the dyadic rational it is, v < 2^62). +bool below_fraction(Amount recent, double fraction, Amount v) { + const auto [m, x] = dyadic(fraction); // x < 0 since fraction < 1 + const U128 rhs = mul_u64(m, static_cast(v)); // below 2^115 + // recent < rhs * 2^x <=> recent * 2^-x < rhs; with -x large the left side exceeds 2^128 + // unless recent is 0. + if (recent == 0) return !(rhs == U128 {0, 0}); + const U128 r {0, static_cast(recent)}; + if (bits(r) - x > 127) return false; + return shl(r, -x) < rhs; +} + +void stage4(Call& c, SourceRun& st) { + auto& pe = c.pe; + const auto& ca = std::get(pe.config.routing); + const auto v = st.offer; + Trace steps = Trace::list(); + std::int32_t accepted = 0; + std::vector Wd; + std::vector view_m; + std::vector zeros; + auto stop = [&](const char* why) { + if (kTraced && c.trace) { + Trace s = Trace::map(); + s.set("stop", Trace::str(why)); + steps.push(std::move(s)); + } + }; + while (!st.B.has_value() || *st.B > 0) { + if (c.created >= c.cap) { + st.limit = Termination::LimitFlows; + stop("kMaxFlowsPerCall"); + break; + } + if (ca.max_flow_count.has_value() && static_cast(st.flows.size()) >= *ca.max_flow_count) { + if (*ca.max_flow_count > ca.flow_count) st.limit = Termination::LimitFlows; + if (kTraced && c.trace) { + Trace s = Trace::map(); + s.set("stop", Trace::str("max_flow_count")); + s.set("k", Trace::integer(static_cast(st.flows.size()))); + steps.push(std::move(s)); + } + break; + } + c.W.dense(Wd); + auto cand = search(c, st.ri, Wd); + if (!cand.has_value()) { + stop("no candidate"); + break; + } + if (pe.config.selection.multipath) { + // Revision 24 (owner): a multipath DAG already spans every equal-cost path, so a second + // flow on a structurally equal DAG gains only round-robin remainders: growth stops. A + // repeated single path is a legitimate tunnel. + bool equal = false; + for (const auto& f : st.flows) equal = equal || f.plan->route == cand->edges; + if (equal) { + if (kTraced && c.trace) { + Trace s = Trace::map(); + s.set("stop", Trace::str("candidate equals a cohort route")); + s.set("route", route_trace(cand->edges)); + steps.push(std::move(s)); + } + break; + } + } + WorkFlow f = new_flow(c, st.src, bundle_of(c.g, cand->edges, nullptr), cand->cost, &Wd); + Trace step = Trace::map(); + if (kTraced && c.trace) { + step.set("route", route_trace(cand->edges)); + step.set("W", Trace::ints(Wd)); + } + Amount gain = 0; + if (pe.config.placement == FlowPlacement::EqualBalanced) { + Amount T = 0; + for (const auto& x : st.flows) T += x.T; + for (const auto& x : st.flows) c.W.release(x.members(), x.alloc); // V = W + cohort allocation + auto plans = plans_of(st.flows); + plans.push_back(f.plan.get()); + CohortEval trial(plans, c.W); + const Amount target = v.has_value() ? st.T_entry + *v : trial.upper(); + Amount t_cand = T; // rejected unless the trial cohort carries more than T + if (target > T && trial.fits(T + 1)) { + t_cand = trial.fits(target) ? target : trial.largest(T + 1, target - 1); + } + if (kTraced && c.trace) { + const Amount bound = trial.t_max(); + step.set("T", Trace::integer(T)); + step.set("T_candidate", Trace::integer(v.has_value() ? std::min(st.T_entry + *v, bound) : bound)); + step.set("bound", Trace::integer(bound)); + } + if (t_cand <= T) { + for (const auto& x : st.flows) c.W.consume(x.members(), x.alloc); // W restored + if (kTraced && c.trace) { + step.set("decision", Trace::str("rejected: cohort total not larger")); + steps.push(std::move(step)); + } + break; + } + f.seq = ++c.seq; + st.flows.push_back(std::move(f)); + set_cohort(st.flows, t_cand); + for (const auto& x : st.flows) c.W.consume(x.members(), x.alloc); + gain = t_cand - T; + if (kTraced && c.trace) { + Trace shares = Trace::list(); + for (const auto& x : st.flows) shares.push(Trace::integer(x.T)); + step.set("shares", std::move(shares)); + } + } else { + const auto members = f.members(); + c.W.gather(members, view_m); + zeros.assign(members.size(), 0); + auto fill = lossless_step(c.g, *f.plan, 0, view_m, zeros, st.B); + if (kTraced && c.trace) { + step.set("bound", Trace::integer(flow_t_max(c.g, *f.plan, view_m))); + step.set("fill", Trace::integer(fill.total)); + } + if (fill.total == 0) { + if (kTraced && c.trace) { + step.set("decision", Trace::str("rejected: zero fill")); + steps.push(std::move(step)); + } + break; + } + f.T = fill.total; + f.alloc = std::move(fill.alloc); + c.W.consume(members, f.alloc); + f.seq = ++c.seq; + gain = f.T; + st.flows.push_back(std::move(f)); + } + ++c.created; + c.routes_changed = true; + ++accepted; + st.gains.push_back(gain); + if (st.B.has_value()) *st.B -= gain; + if (kTraced && c.trace) { + step.set("decision", Trace::str("accepted")); + step.set("gain", Trace::integer(gain)); + steps.push(std::move(step)); + } + if (ca.diminishing.has_value() && v.has_value() && accepted >= ca.diminishing->window) { + Amount recent = 0; + const auto w = static_cast(ca.diminishing->window); + for (std::size_t i = st.gains.size() - w; i < st.gains.size(); ++i) recent += st.gains[i]; + if (below_fraction(recent, ca.diminishing->fraction, *v) && *st.B > 0) { + st.limit = Termination::LimitDiminishing; + if (kTraced && c.trace) { + Trace s = Trace::map(); + s.set("stop", Trace::str("diminishing")); + s.set("recent", Trace::integer(recent)); + s.set("threshold", Trace::str(fraction_text(ca.diminishing->fraction, *v))); + steps.push(std::move(s)); + } + break; + } + } + } + if (kTraced && st.tr) st.tr->set("stage4", std::move(steps)); +} + +// ---------------------------------------------------------------- per source + +void run_source(Call& c, SourceRun& st) { + auto& pe = c.pe; + if (st.flows.empty()) stage1(c, st); + if (st.flows.empty()) return; + if (is(pe) && std::get(pe.config.routing).reoptimize) stage2(c, st); + if (pe.config.admission == Admission::Lossy) { + stage3_lossy(c, st); + } else if (pe.config.placement == FlowPlacement::EqualBalanced) { + stage3_eb(c, st); + } else { + stage3_seq(c, st); + } + if (is(pe)) stage4(c, st); +} + +Termination local_outcome(const PolicyEngine& pe, const SourceRun& st) { + Amount after = 0; + for (const auto& f : st.flows) after += pe.config.admission == Admission::Lossy ? f.delivered : f.T; + const Amount delivered = after - st.P; + if (st.offer.has_value() && *st.offer == 0) return Termination::Complete; + if (pe.config.admission == Admission::Lossy) { + if (st.offer.has_value() && st.injected == *st.offer) return Termination::Complete; + } else if (st.offer.has_value() && delivered == *st.offer) { + return Termination::Complete; + } + if (st.limit == Termination::LimitFlows || st.capped) return Termination::LimitFlows; + if (st.limit == Termination::LimitDiminishing) return Termination::LimitDiminishing; + if (st.flows.empty()) return Termination::NoRoute; + return Termination::Exhausted; +} + +// The working copy of a live flow: its state and its record's amounts, member-aligned. +WorkFlow working_copy(const PolicyEngine& pe, const LiveFlow& s) { + const FlowRecord& rec = LedgerAccess::live(pe.fg, s.id); + WorkFlow f; + f.id = s.id; + f.src = s.src; + f.plan = s.plan; + f.bundle = s.bundle; + f.cost = s.cost; + f.bundle_index = s.bundle_index; + align(f.plan->members, rec.edges, f.alloc); + if (pe.config.admission == Admission::Lossy) { + f.offered = rec.offered.value_or(Counter128 {}); + f.delivered = rec.delivered; + align(f.plan->members, rec.drops, f.drops); + } else { + f.T = rec.delivered; + } + return f; +} + +Draft draft_of(const PolicyEngine& pe, const WorkFlow& f) { + Draft d; + if (!f.is_new()) d.id = f.id; + auto& r = d.record; + r.sources = {f.src}; + r.destinations = pe.dests_ok; + r.placement = pe.config.placement; + r.admission = pe.config.admission; + r.bundle = f.bundle; + r.route_cost = f.cost; + const auto members = f.members(); + r.edges.reserve(static_cast(std::count_if(f.alloc.begin(), f.alloc.end(), [](Amount x) { return x != 0; }))); + for (std::size_t m = 0; m < members.size(); ++m) { + if (f.alloc[m] != 0) r.edges.emplace_back(members[m], f.alloc[m]); + } + if (pe.config.admission == Admission::Lossy) { + r.offered = f.offered; + r.delivered = f.delivered; + r.drops.reserve(static_cast( + std::count_if(f.drops.begin(), f.drops.end(), [](const Counter128& x) { return !x.is_zero(); }))); + for (std::size_t m = 0; m < members.size(); ++m) { + if (!f.drops[m].is_zero()) r.drops.emplace_back(members[m], f.drops[m]); + } + } else { + r.delivered = f.T; + } + return d; +} + +// The epoch state after the commit is built before it (every allocation), then swapped in. +std::vector> next_cohorts(const std::vector& runs, std::size_t num_roster) { + std::vector> out(num_roster); + for (const auto& st : runs) { + auto& c = out[st.ri]; + c.reserve(st.flows.size()); + for (const auto& f : st.flows) c.push_back(LiveFlow {f.id, f.src, f.plan, f.bundle, f.cost, f.bundle_index}); + } + return out; +} + +std::vector> merge_drops(std::vector> drops) { + std::sort(drops.begin(), drops.end()); + std::vector> out; + for (const auto& [e, x] : drops) { + if (!out.empty() && out.back().first == e) { + out.back().second += x; + } else { + out.emplace_back(e, x); + } + } + return out; +} + +std::string key(NodeId v) { return std::to_string(v); } + +PlacementResult place_flows(PolicyEngine& pe, std::optional v, const OutputOptions& outputs, Trace* trace, + const std::function* staged) { + const auto& g = *pe.graph; + Working W(pe.fg); + Call c {pe, g, W}; +#if NETGRAPH_CORE_PRIVATE_HOOKS + c.cap = max_flows_per_call().load(std::memory_order_relaxed); +#endif + c.trace = trace; + const std::size_t k = pe.roster.size(); + std::vector runs(k); + if (is(pe)) { + runs[0].offer = v; + } else if (v.has_value()) { + const auto inc = cumulative_offers(pe.requested, *v, k); + for (std::size_t i = 0; i < k; ++i) runs[i].offer = inc[i]; + } + Trace sources_tr = Trace::map(); + for (std::size_t i = 0; i < k; ++i) { + auto& st = runs[i]; + st.ri = i; + st.src = pe.roster[i]; + st.B = st.offer; + st.flows.reserve(pe.cohorts[i].size()); + for (const auto& s : pe.cohorts[i]) st.flows.push_back(working_copy(pe, s)); + for (const auto& f : st.flows) { + st.P += pe.config.admission == Admission::Lossy ? f.delivered : f.T; + st.T_entry += f.T; + } + } + for (auto& st : runs) { + Trace* tr = nullptr; + if (kTraced && trace) tr = &sources_tr.set(key(st.src), Trace::map()); + st.tr = tr; + run_source(c, st); + st.tr = nullptr; + } + // The commit: retained flows (by source, FlowId order) then new flows in creation order. + std::vector drafts; + // (run, flow) of the new flows, per thread: cleared here, read until the epoch state is set. + thread_local std::vector> fresh_scratch; + auto& fresh = fresh_scratch; + fresh.clear(); + for (std::size_t i = 0; i < k; ++i) { + for (std::size_t j = 0; j < runs[i].flows.size(); ++j) { + const auto& f = runs[i].flows[j]; + if (f.is_new()) { + fresh.emplace_back(i, j); + } else { + drafts.push_back(draft_of(pe, f)); + } + } + } + std::sort(fresh.begin(), fresh.end(), [&](const auto& a, const auto& b) { + return runs[a.first].flows[a.second].seq < runs[b.first].flows[b.second].seq; + }); + for (const auto& [i, j] : fresh) drafts.push_back(draft_of(pe, runs[i].flows[j])); + // Everything the publication of the epoch state needs is allocated before the commit. + Counter128 requested = pe.requested; + if (v.has_value() && !requested.add(*v)) throw std::invalid_argument("the cumulative request counter would reach 2^127"); + auto next = next_cohorts(runs, k); + Amount placed = 0; + std::vector> outcomes; + outcomes.reserve(k); + Termination term = Termination::Complete; + for (const auto& st : runs) { + Amount after = 0; + for (const auto& f : st.flows) after += pe.config.admission == Admission::Lossy ? f.delivered : f.T; + placed += after - st.P; + const Termination o = local_outcome(pe, st); + outcomes.emplace_back(st.src, o); + if (rank(o) > rank(term)) term = o; + } + PlacementResult out; + out.placed = placed; + if (v.has_value()) out.remaining = *v - placed; + out.termination = term; + out.local_outcomes = std::move(outcomes); + out.routes_changed = c.routes_changed; + out.weights_changed = c.weights_changed; + out.drops = merge_drops(std::move(c.drops)); + if (kTraced && trace) { + Trace offers_tr = Trace::map(); + Trace outcomes_tr = Trace::map(); + for (std::size_t i = 0; i < k; ++i) { + offers_tr.set(key(runs[i].src), amount_or_inf(runs[i].offer)); + outcomes_tr.set(key(runs[i].src), Trace::str(outcome_name(out.local_outcomes[i].second))); + } + trace->set("offers", std::move(offers_tr)); + trace->set("local_outcomes", std::move(outcomes_tr)); + trace->set("created", Trace::integer(c.created)); + trace->set("sources", std::move(sources_tr)); + std::vector wf; + W.dense(wf); + trace->set("W_final", Trace::ints(wf)); + } + if (any_output(outputs)) prepare_outputs(pe, outputs, draft_edges(drafts), out); + if (staged != nullptr && *staged) (*staged)(); + std::vector ids; + if (!drafts.empty()) ids = LedgerAccess::commit(pe.fg, pe.owner, drafts); + // Committed: the epoch state follows (nothing below throws). + for (std::size_t n = 0; n < fresh.size(); ++n) next[fresh[n].first][fresh[n].second].id = ids[n].second; + pe.cohorts.swap(next); + pe.requested = requested; + if (!v.has_value()) pe.infinite = true; + return out; +} + +// ---------------------------------------------------------------- Global + +// The canonical per-source decomposition (9.1): sources ascending; for each, while it has +// supply, the lexicographically smallest EdgeId walk with positive remaining flow from it to the +// first destination it reaches, saturated by min(the walk's bottleneck, the remaining supply). +// Per node the first out-edge with remaining flow only moves forward (remaining flow never grows). +std::vector>> decompose(const Graph& g, std::vector rem, + std::span roster, + std::span dests) { + const auto row = g.row_offsets(); + const auto edge_dst = g.edge_dst(); + const auto in_row = g.in_row_offsets(); + const auto in_adj = g.in_adj_edge_index(); + std::vector is_dst(static_cast(g.num_nodes()), 0); + for (NodeId d : dests) is_dst[static_cast(d)] = 1; + std::vector cur(row.begin(), row.end() - 1); + std::vector>> out(roster.size()); + std::vector walk; + std::vector mine; + for (std::size_t i = 0; i < roster.size(); ++i) { + const NodeId s = roster[i]; + const auto si = static_cast(s); + // The supply of s: its net outflow (transit through s from another source is not supply). + Amount left = 0; + for (auto e = row[si]; e < row[si + 1]; ++e) left += rem[static_cast(e)]; + for (auto k = in_row[si]; k < in_row[si + 1]; ++k) left -= rem[static_cast(in_adj[static_cast(k)])]; + std::vector> acc; + while (left > 0) { + walk.clear(); + NodeId u = s; + while (walk.empty() || is_dst[static_cast(u)] == 0) { + auto& p = cur[static_cast(u)]; + while (p < row[static_cast(u) + 1] && rem[static_cast(p)] == 0) ++p; + if (p == row[static_cast(u) + 1]) { + throw std::logic_error("Global decomposition: flow conservation broken (no continuation)"); + } + walk.push_back(p); + u = edge_dst[static_cast(p)]; + if (walk.size() > static_cast(g.num_nodes())) { + throw std::logic_error("Global decomposition: a cycle with positive flow"); + } + } + Amount amount = left; + for (EdgeId e : walk) amount = std::min(amount, rem[static_cast(e)]); + for (EdgeId e : walk) { + rem[static_cast(e)] -= amount; + acc.emplace_back(e, amount); + } + left -= amount; + } + std::sort(acc.begin(), acc.end()); + auto& res = out[i]; + for (const auto& [e, x] : acc) { + if (!res.empty() && res.back().first == e) { + res.back().second += x; + } else { + res.emplace_back(e, x); + } + } + } + for (Amount x : rem) { + if (x != 0) throw std::logic_error("Global decomposition: the walks do not cover the flow"); + } + return out; +} + +PlacementResult place_global(PolicyEngine& pe, std::optional v, const OutputOptions& outputs, Trace* trace, + const std::function* staged) { + const auto& g = *pe.graph; + std::vector V; + LedgerAccess::residual_into(pe.fg, V); + Amount P = 0; + const bool created = std::all_of(pe.cohorts.begin(), pe.cohorts.end(), [](const auto& c) { return c.empty(); }); + for (std::size_t i = 0; i < pe.roster.size(); ++i) { + for (const auto& s : pe.cohorts[i]) { + const FlowRecord& rec = LedgerAccess::live(pe.fg, s.id); + P += rec.delivered; + for (const auto& [e, x] : rec.edges) V[static_cast(e)] += x; + } + } + const std::optional cap = v.has_value() ? std::optional(P + *v) : std::nullopt; + if (pe.capture != nullptr) pe.capture->graph = pe.graph; + auto sol = place_global_units(g, V, pe.roster, pe.dests_ok, pe.elig, cap, pe.capture); + if (sol.placed < P) throw std::logic_error("Global: a call reduced placed_demand()"); + auto shares = decompose(g, sol.edge_flows, pe.roster, pe.dests_ok); + bool changed = created; + std::vector supplies(pe.roster.size(), 0); + std::vector drafts; + std::vector fresh; + std::vector> next(pe.roster.size()); + for (std::size_t i = 0; i < pe.roster.size(); ++i) { + const NodeId s = pe.roster[i]; + std::vector route; + route.reserve(shares[i].size()); + Amount supply = 0; + for (const auto& [e, x] : shares[i]) route.push_back(e); + { + // The supply of s: what its share delivers (its out-edges' share). + const auto row = g.row_offsets(); + for (const auto& [e, x] : shares[i]) { + if (e >= row[static_cast(s)] && e < row[static_cast(s) + 1]) supply += x; + } + } + std::shared_ptr bundle; + Cost cost = kUnreachable; + const LiveFlow* old = pe.cohorts[i].empty() ? nullptr : &pe.cohorts[i].front(); + if (old != nullptr && PredDAGBuilder::ascending(*old->bundle).size() == route.size() && + std::equal(route.begin(), route.end(), PredDAGBuilder::ascending(*old->bundle).begin())) { + bundle = old->bundle; + cost = old->cost; + } else { + if (old != nullptr) changed = true; + bundle = std::make_shared(PredDAGBuilder::of_edges(g, route)); + if (!route.empty()) cost = route_cost(g, *bundle, s, pe.dests_ok); + } + Draft d; + if (old != nullptr) d.id = old->id; + auto& r = d.record; + r.sources = {s}; + r.destinations = pe.dests_ok; + r.placement = FlowPlacement::MaxFlow; + r.admission = Admission::Lossless; + r.bundle = bundle; + r.route_cost = cost; + r.delivered = supply; + supplies[i] = supply; + r.edges = shares[i]; + if (old == nullptr) fresh.push_back(i); + next[i].push_back(LiveFlow {old != nullptr ? old->id : -1, s, nullptr, bundle, cost, -1}); + drafts.push_back(std::move(d)); + } + // New records in source order (ascending NodeId), after the retained ones. + std::stable_partition(drafts.begin(), drafts.end(), [](const Draft& d) { return d.id.has_value(); }); + Counter128 requested = pe.requested; + if (v.has_value() && !requested.add(*v)) throw std::invalid_argument("the cumulative request counter would reach 2^127"); + PlacementResult out; + out.placed = sol.placed - P; + if (v.has_value()) out.remaining = *v - out.placed; + if (v.has_value() && out.placed == *v) { + out.termination = Termination::Complete; + } else if (sol.placed == 0) { + out.termination = Termination::NoRoute; + } else { + out.termination = Termination::Exhausted; + } + out.local_outcomes.reserve(pe.roster.size()); + for (NodeId s : pe.roster) out.local_outcomes.emplace_back(s, out.termination); + out.routes_changed = changed; + out.cost_distribution = sol.cost_distribution; + if (kTraced && trace) { + trace->set("V", Trace::ints(V)); + trace->set("cap", cap.has_value() ? Trace::integer(*cap) : Trace::null()); + Trace fc = Trace::map(); + fc.set("placed", Trace::integer(sol.placed)); + fc.set("cost_distribution", Trace::pairs(sol.cost_distribution)); + fc.set("edge_flows", Trace::ints(sol.edge_flows)); + fc.set("min_cut", sol.min_cut.has_value() ? Trace::ints(*sol.min_cut) : Trace::null()); + fc.set("potentials", Trace::ints(sol.potentials)); + Trace counters = Trace::map(); + counters.set("dijkstra_runs", Trace::integer(sol.counters.dijkstra_runs)); + counters.set("dijkstra_pops", Trace::integer(sol.counters.dijkstra_pops)); + counters.set("settled", Trace::integer(sol.counters.settled)); + counters.set("arc_scans", Trace::integer(sol.counters.arc_scans)); + counters.set("dinic_phases", Trace::integer(sol.counters.dinic_phases)); + counters.set("augmentations", Trace::integer(sol.counters.augmentations)); + fc.set("counters", std::move(counters)); + Trace supply = Trace::map(); + Trace shares_tr = Trace::map(); + for (std::size_t i = 0; i < pe.roster.size(); ++i) { + supply.set(key(pe.roster[i]), Trace::integer(supplies[i])); + shares_tr.set(key(pe.roster[i]), Trace::pairs(shares[i])); + } + fc.set("supply", std::move(supply)); + trace->set("flow_core", std::move(fc)); + trace->set("shares", std::move(shares_tr)); + } + if (outputs.bottleneck) out.min_cut = std::move(sol.min_cut); + if (any_output(outputs)) prepare_outputs(pe, outputs, draft_edges(drafts), out); + auto curve = *out.cost_distribution; // the cumulative curve a later zero call reports (9.1) + if (staged != nullptr && *staged) (*staged)(); + const auto ids = LedgerAccess::commit(pe.fg, pe.owner, drafts); + // Committed: the epoch state follows (nothing below throws). + for (std::size_t n = 0; n < fresh.size(); ++n) next[fresh[n]].front().id = ids[n].second; + pe.cohorts.swap(next); + pe.curve.swap(curve); + pe.requested = requested; + if (!v.has_value()) pe.infinite = true; + return out; +} + +// ---------------------------------------------------------------- construction + +// The static reverse distances toward the allowed destinations over the statically eligible +// member graph (capacity >= 1 unit, no residual). +std::vector static_distances(const Graph& g, const Eligibility* elig, std::span dests) { + const PathSelection full(EdgeTieBreak::Deterministic, EdgePriority::Capacity, true, true); + const auto member = member_mask(g, elig, full, {}, 1); + return distances(g, member, dests, Direction::Reverse); +} + +} // namespace + +void validate_config(const FlowPolicyConfig& cfg, std::size_t num_sources, std::size_t num_destinations) { + const auto& r = cfg.routing; + if (r.valueless_by_exception()) invalid("routing: the variant holds no routing mode"); + check_member(cfg.placement, "placement"); + check_member(cfg.admission, "admission"); + check_selection(cfg.selection); + check_kernel(cfg.placement, cfg.admission, cfg.selection.priority); + if (cfg.admission == Admission::Lossy && + (std::holds_alternative(r) || std::holds_alternative(r))) { + invalid("Lossy admission is rejected with Global and CapacityAware routing (hop-by-hop forwarding without " + "admission control neither grows nor reroutes)"); + } + if (std::holds_alternative(r) && cfg.placement != FlowPlacement::MaxFlow) { + invalid("Global routing requires placement = MaxFlow"); + } + if (const auto* ca = std::get_if(&r)) { + if (ca->flow_count < 1) invalid("CapacityAware flow_count must be >= 1 (got " + str(ca->flow_count) + ")"); + if (ca->max_flow_count.has_value() && *ca->max_flow_count < ca->flow_count) { + invalid("CapacityAware max_flow_count (" + str(*ca->max_flow_count) + ") must be >= flow_count (" + + str(ca->flow_count) + ")"); + } + if (ca->min_flow_bandwidth < 0 || ca->min_flow_bandwidth >= kDomainLimit) { + invalid("CapacityAware min_flow_bandwidth must be in [0, 2^62) units (got " + str(ca->min_flow_bandwidth) + ")"); + } + if (ca->max_path_cost.has_value()) { + if (const auto* a = std::get_if(&*ca->max_path_cost)) { + if (a->cost < 0) invalid("max_path_cost Absolute cost must be >= 0 (got " + str(a->cost) + ")"); + } else { + const double f = std::get(*ca->max_path_cost).factor; + if (!(f >= 1.0) || !std::isfinite(f)) { + invalid("max_path_cost Stretch factor must be finite and in [1, inf) (got " + std::to_string(f) + ")"); + } + } + } + if (ca->diminishing.has_value()) { + const auto& d = *ca->diminishing; + if (d.window < 1) invalid("diminishing window must be >= 1 (got " + str(d.window) + ")"); + if (!(d.fraction > 0.0 && d.fraction < 1.0)) { + invalid("diminishing fraction must be in (0, 1) (got " + std::to_string(d.fraction) + ")"); + } + } + } + if (std::holds_alternative(r) && (num_sources != 1 || num_destinations != 1)) { + invalid("Pinned routing requires single endpoints (bundles bind one source and one destination)"); + } +} + +} // namespace detail + +// ================================================================ FlowPolicyConfig + +// The enum-typed fields inside their enumerations, in validate_config's order. +FlowPolicyConfig::FlowPolicyConfig(Routing routing_, FlowPlacement placement_, Admission admission_, + PathSelection selection_) + : routing(std::move(routing_)), placement(placement_), admission(admission_), selection(selection_) { + detail::check_member(placement, "placement"); + detail::check_member(admission, "admission"); + detail::check_selection(selection); +} + +// ================================================================ FlowPolicy + +using detail::LedgerAccess; +using detail::PolicyEngine; + +FlowPolicy::FlowPolicy(FlowLedger& ledger, std::span sources, std::span destinations, + FlowPolicyConfig config, const Eligibility* elig, DagCache* cache) { + auto pe = std::make_unique(ledger, std::move(config)); + pe->graph = ledger.graph(); + const auto& g = *pe->graph; + if (elig != nullptr && elig->graph_uid() != g.uid()) { + throw std::invalid_argument("foreign Eligibility: built for another graph"); + } + if (cache != nullptr && cache->graph_uid() != g.uid()) { + throw std::invalid_argument("foreign DagCache: bound to another graph"); + } + pe->elig = elig; + pe->sources = detail::node_set(sources, g.num_nodes(), "sources"); + pe->destinations = detail::node_set(destinations, g.num_nodes(), "destinations"); + detail::check_disjoint(pe->sources, pe->destinations, "sources", "destinations"); + detail::validate_config(pe->config, pe->sources.size(), pe->destinations.size()); + auto node_ok = [&](NodeId v) { return elig == nullptr || elig->node_ok(v); }; + for (NodeId d : pe->destinations) { + if (node_ok(d)) pe->dests_ok.push_back(d); + } + if (detail::is(*pe)) { + const auto& bundles = std::get(pe->config.routing).bundles; + if (bundles.empty()) throw std::invalid_argument("Pinned: an empty bundle list is rejected"); + const NodeId src = pe->sources.front(); + const NodeId dst[1] = {pe->destinations.front()}; + for (std::size_t i = 0; i < bundles.size(); ++i) { + const auto& b = bundles[i]; + if (!b) throw std::invalid_argument("Pinned: bundle " + std::to_string(i) + " is null"); + if (b->graph_uid() != g.uid()) throw std::invalid_argument("foreign PredDAG: bundle built for another graph"); + for (std::size_t j = 0; j < i; ++j) { + if (*bundles[j] == *b) { + throw std::invalid_argument("Pinned: duplicate bundle " + std::to_string(i) + " (equal to bundle " + + std::to_string(j) + " before pruning)"); + } + } + Cost cost = kUnreachable; + auto plan = detail::make_route_plan(g, pe->config.placement, pe->config.admission, + pe->config.selection.priority, src, dst, *b, elig, &cost); + if (plan.route.empty() && detail::prune(g, *b, src, dst).empty()) { + throw std::invalid_argument("Pinned: malformed bundle " + std::to_string(i) + ", no src -> dst walk (src " + + std::to_string(src) + ", dst " + std::to_string(dst[0]) + ")"); + } + detail::PreparedPinnedBundle pb; + pb.cost = cost; + pb.route_dag = detail::bundle_of(g, plan.route, b); + pb.route_plan = std::make_shared(std::move(plan)); + if (!pb.route_plan->route.empty()) pe->usable.push_back(static_cast(i)); + pe->bundles.push_back(std::move(pb)); + } + if (!pe->usable.empty()) pe->roster.push_back(src); + } else if (detail::is(*pe)) { + pe->support = cache != nullptr + ? cache->lookup(g, pe->destinations, Direction::Reverse, elig) + : std::make_shared(detail::static_support(g, pe->destinations, Direction::Reverse, elig)); + const auto edges = detail::PredDAGBuilder::ascending(*pe->support); + const auto row = g.row_offsets(); + for (NodeId s : pe->sources) { + if (!node_ok(s)) continue; + const auto it = std::lower_bound(edges.begin(), edges.end(), row[static_cast(s)]); + if (it != edges.end() && *it < row[static_cast(s) + 1]) pe->roster.push_back(s); + } + } else { + const auto dist = detail::static_distances(g, elig, pe->dests_ok); + for (NodeId s : pe->sources) { + if (!node_ok(s) || dist[static_cast(s)] == kUnreachable) continue; + pe->roster.push_back(s); + pe->baseline.push_back(dist[static_cast(s)]); + } + } + pe->cohorts.resize(pe->roster.size()); + pe->owner = LedgerAccess::bind(ledger); // last: nothing is bound when construction fails + engine_ = std::move(pe); +} + +// The destruction law (section 8): the records stay in the ledger as orphans. +FlowPolicy::~FlowPolicy() { LedgerAccess::release(engine_->fg, engine_->owner); } + +namespace { + +// `staged` (optional) runs once the call's result and trace are final and before anything is +// published (the ledger commit, the epoch state): an exception from it aborts the call with +// nothing changed (the Python binding builds its result objects there). +PlacementResult place_impl(PolicyEngine& pe, std::optional volume, const OutputOptions& outputs, + detail::Trace* trace, const std::function* staged) { + // Validation before any mutation, also before the zero shortcut (section 8). + if (volume.has_value() && (*volume < 0 || *volume >= kDomainLimit)) { + throw std::invalid_argument("request " + std::to_string(*volume) + + " is outside [0, 2^62) units (requests are integer units or +inf)"); + } + if (pe.infinite && volume.has_value()) { + throw std::invalid_argument( + "a finite request after +inf is rejected within an epoch (the cumulative finite request is undefined; " + "rule 13)"); + } + if (volume.has_value()) { + Counter128 probe = pe.requested; + if (!probe.add(*volume)) throw std::invalid_argument("the cumulative request counter would reach 2^127"); + } + PlacementResult out; + if (volume.has_value() && *volume == 0) { + out.remaining = 0; + out.local_outcomes.reserve(pe.roster.size()); + for (NodeId s : pe.roster) out.local_outcomes.emplace_back(s, Termination::Complete); + // Global: the cumulative curve (9.1: its amounts sum to placed_demand(); empty before the + // first placement); a zero call solves nothing, so it claims no cut (2.2's cap-zero payload). + if (detail::is(pe)) out.cost_distribution = pe.curve; + detail::prepare_outputs(pe, outputs, detail::current_edges(pe), out); + if (staged != nullptr && *staged) (*staged)(); + return out; + } + if (pe.roster.empty()) { + out.remaining = volume; + out.termination = Termination::NoRoute; + if (detail::is(pe)) { + // No source reaches an allowed destination: the cumulative flow is 0 and maximal, so its + // marginal curve is empty and the full-residual cut of 2.2 is empty (the closure of the + // sources has no arc of positive view leaving it); None would claim a residual path. + out.cost_distribution.emplace(); + if (outputs.bottleneck) out.min_cut.emplace(); + } + if (detail::kTraced && trace) trace->set("roster", detail::Trace::list()); + detail::prepare_outputs(pe, outputs, detail::current_edges(pe), out); + if (staged != nullptr && *staged) (*staged)(); + // The epoch records every positive request, also one that finds no roster (section 8); + // nothing below throws (the counter was checked above). + if (volume.has_value()) { + (void)pe.requested.add(*volume); + } else { + pe.infinite = true; + } + return out; + } + if (detail::is(pe)) return detail::place_global(pe, volume, outputs, trace, staged); + return detail::place_flows(pe, volume, outputs, trace, staged); +} + +} // namespace + +PlacementResult FlowPolicy::place(std::optional volume, const OutputOptions& outputs) { + return place_impl(*engine_, volume, outputs, nullptr, nullptr); +} + +#if NETGRAPH_CORE_PRIVATE_HOOKS +PlacementResult detail::place_traced(FlowPolicy& policy, std::optional volume, const OutputOptions& outputs, + Trace& trace, const std::function* staged) { + trace = Trace::map(); + return place_impl(PolicyAccess::engine(policy), volume, outputs, &trace, staged); +} +#endif + +void FlowPolicy::remove() { + auto& pe = *engine_; + (void)LedgerAccess::detach(pe.fg, pe.owner); + // A new epoch (nothing below throws). + for (auto& c : pe.cohorts) c.clear(); + pe.curve.clear(); + pe.requested = Counter128 {}; + pe.infinite = false; +} + +Amount FlowPolicy::placed_demand() const { + const auto& pe = *engine_; + Amount total = 0; + for (const auto& c : pe.cohorts) { + for (const auto& s : c) total += LedgerAccess::live(pe.fg, s.id).delivered; + } + return total; +} + +std::vector FlowPolicy::records() const { + const auto& pe = *engine_; + std::vector ids; + for (const auto& c : pe.cohorts) { + for (const auto& s : c) ids.push_back(s.id); + } + std::sort(ids.begin(), ids.end()); + std::vector out; + out.reserve(ids.size()); + for (std::int64_t id : ids) out.push_back(LedgerAccess::live(pe.fg, id)); + return out; +} + +FlowRecord FlowPolicy::record(const FlowId& flow_id) const { + const auto& pe = *engine_; + const FlowLedger& fg = pe.fg; + // The ledger's checks first (another ledger, a retired or unknown id), then the owner. + FlowRecord rec = fg.record(flow_id); + if (rec.owner != pe.owner) { + throw std::invalid_argument("FlowId (" + std::to_string(flow_id.first) + ", " + std::to_string(flow_id.second) + + ") is not a record of this policy"); + } + return rec; +} + +std::int32_t FlowPolicy::usable_bundles() const noexcept { + return detail::is(*engine_) ? static_cast(engine_->usable.size()) : 0; +} + +const FlowPolicyConfig& FlowPolicy::config() const noexcept { return engine_->config; } + +} // namespace netgraph::core diff --git a/src/strict_multidigraph.cpp b/src/graph.cpp similarity index 74% rename from src/strict_multidigraph.cpp rename to src/graph.cpp index bdfca20..3cc2595 100644 --- a/src/strict_multidigraph.cpp +++ b/src/graph.cpp @@ -1,5 +1,5 @@ /* - StrictMultiDiGraph: the one graph type on integer units (APPROACH 2.1, 3). + Graph: the one graph type on integer units (APPROACH 2.1, 3). Construction validates the inputs in the documented order, then orders the edges by the stable key (src, cost, dst, input): a counting pass by src places every input position in @@ -10,7 +10,7 @@ (cost, src, id). Within one destination, equal (cost, src) means equal (src, cost, dst), whose ids are in input order, so (cost, src, id) is (cost, src, input). */ -#include "netgraph/core/strict_multidigraph.hpp" +#include "netgraph/core/graph.hpp" #include #include @@ -88,12 +88,12 @@ double as_float(Amount x, double resolution) { return std::ldexp(static_cast(x), k); } -StrictMultiDiGraph::StrictMultiDiGraph(std::int32_t num_nodes, - std::span src, - std::span dst, - std::span capacity_units, - std::span cost, - double resolution) { +Graph::Graph(std::int32_t num_nodes, + std::span src, + std::span dst, + std::span capacity_units, + std::span cost, + double resolution) { (void)resolution_exponent(resolution); // The unit values. for (std::size_t i = 0; i < capacity_units.size(); ++i) { @@ -220,7 +220,7 @@ StrictMultiDiGraph::StrictMultiDiGraph(std::int32_t num_nodes, } } -StrictMultiDiGraph::StrictMultiDiGraph(const StrictMultiDiGraph& other) +Graph::Graph(const Graph& other) : uid_(next_uid()), resolution_(other.resolution_), num_nodes_(other.num_nodes_), @@ -235,7 +235,7 @@ StrictMultiDiGraph::StrictMultiDiGraph(const StrictMultiDiGraph& other) in_row_offsets_(other.in_row_offsets_), in_adj_edge_index_(other.in_adj_edge_index_) {} -StrictMultiDiGraph::StrictMultiDiGraph(StrictMultiDiGraph&& other) noexcept +Graph::Graph(Graph&& other) noexcept : uid_(std::exchange(other.uid_, 0)), resolution_(other.resolution_), num_nodes_(std::exchange(other.num_nodes_, 0)), @@ -253,60 +253,4 @@ StrictMultiDiGraph::StrictMultiDiGraph(StrictMultiDiGraph&& other) noexcept other.in_row_offsets_.assign(1, 0); } -Eligibility StrictMultiDiGraph::eligibility(std::span excluded_nodes, - std::span excluded_edges) const { - const auto n = static_cast(num_nodes_); - const auto m = capacity_.size(); - for (NodeId v : excluded_nodes) { - if (v < 0 || static_cast(v) >= n) { - throw std::invalid_argument("excluded node " + std::to_string(v) + " out of node range [0, " + - std::to_string(n) + ")"); - } - } - for (EdgeId e : excluded_edges) { - if (e < 0 || static_cast(e) >= m) { - throw std::invalid_argument("excluded edge " + std::to_string(e) + " out of edge range [0, " + - std::to_string(m) + ")"); - } - } - Eligibility el; - el.graph_uid_ = uid_; - el.node_allowed_.assign(n, 1); - el.edge_allowed_.assign(m, 1); - for (EdgeId e : excluded_edges) el.edge_allowed_[static_cast(e)] = 0; - for (NodeId v : excluded_nodes) { - const auto vi = static_cast(v); - if (el.node_allowed_[vi] == 0) continue; // duplicate - el.node_allowed_[vi] = 0; - for (auto e = row_offsets_[vi]; e < row_offsets_[vi + 1]; ++e) { - el.edge_allowed_[static_cast(e)] = 0; - } - for (auto s = in_row_offsets_[vi]; s < in_row_offsets_[vi + 1]; ++s) { - el.edge_allowed_[static_cast(in_adj_edge_index_[static_cast(s)])] = 0; - } - } - el.uid_ = (excluded_nodes.empty() && excluded_edges.empty()) ? 0 : next_uid(); - return el; -} - -Eligibility Eligibility::intersect(const Eligibility& a, const Eligibility& b) { - if (a.graph_uid_ != b.graph_uid_) { - throw std::invalid_argument("Eligibility.intersect: the two values belong to different graphs"); - } - Eligibility out; - out.graph_uid_ = a.graph_uid_; - out.node_allowed_.resize(a.node_allowed_.size()); - out.edge_allowed_.resize(a.edge_allowed_.size()); - for (std::size_t v = 0; v < out.node_allowed_.size(); ++v) { - out.node_allowed_[v] = static_cast(a.node_allowed_[v] & b.node_allowed_[v]); - } - for (std::size_t e = 0; e < out.edge_allowed_.size(); ++e) { - out.edge_allowed_[e] = static_cast(a.edge_allowed_[e] & b.edge_allowed_[e]); - } - if (out.node_allowed_ == a.node_allowed_ && out.edge_allowed_ == a.edge_allowed_) return a; - if (out.node_allowed_ == b.node_allowed_ && out.edge_allowed_ == b.edge_allowed_) return b; - out.uid_ = next_uid(); - return out; -} - } // namespace netgraph::core diff --git a/src/kernels.cpp b/src/kernels.cpp index 9c8019f..3043847 100644 --- a/src/kernels.cpp +++ b/src/kernels.cpp @@ -15,22 +15,15 @@ #include #include +#include "netgraph/core/detail/enum_domain.hpp" #include "netgraph/core/detail/flow_core.hpp" #include "netgraph/core/detail/int128.hpp" -#include "netgraph/core/detail/node_map.hpp" #include "netgraph/core/detail/pred_dag_builder.hpp" namespace netgraph::core::detail { // ---------------------------------------------------------------- apportionment -void round_robin(Amount total, std::span out) noexcept { - const auto k = static_cast(out.size()); - const Amount base = total / k; - const Amount extra = total % k; - for (Amount i = 0; i < k; ++i) out[static_cast(i)] = base + (i < extra ? 1 : 0); -} - namespace { // w_i / d_i > w_j / d_j, ties by the lower index: the next unit's recipient order. @@ -88,6 +81,9 @@ void highest_averages(Amount total, std::span weights, std::span edge; // candidate arcs, ascending EdgeId - std::vector tail; // local tail per arc - std::vector head; // local head per arc - std::vector in_off; // in-CSR over local heads - std::vector in_arc; - std::vector cursor; - std::vector state; // backward DFS: 0 unseen, 1 open, 2 done (reaches a destination) - std::vector fwd; // reached from the source over arcs of reached tails - std::vector order; // postorder: every node after all of its parents - std::vector> stack; // (node, next in-arc) - std::vector member_arc; // per member its arc - std::vector position; - std::vector first; // per local tail: its first member - std::vector count; // per local tail: its number of members - std::vector dist; // the cost DP -}; - -SplitScratch& split_scratch() { - thread_local SplitScratch s; - return s; -} - -// The split structure of a flow from src to the destination set over `edges` (ascending -// EdgeId), restricted to the edges `keep(i, e)` accepts: the kept edges on some walk from src to -// a destination (destinations terminal) become plan.members, with the plan's topological fields. -// One pass: a backward DFS from the destinations over the in-arcs lists the nodes that reach a -// destination in postorder (every node after its parents, a topological order); a forward pass -// over that order marks the nodes the source reaches. Members ascend by EdgeId and B' ids rank -// edges by source first, so the members of one tail are consecutive. Any topological order gives -// the same allocation (a node splits once its inflow is complete). -// -// With `cost`, the forward pass also computes the minimum walk cost from the source to a -// destination over the members (kUnreachable without members): the DP runs in the same -// topological order. -template -void build_split(const StrictMultiDiGraph& g, std::span edges, NodeId src, std::span dsts, - Keep keep, KernelPlan& plan, Cost* cost = nullptr) { - plan.members.clear(); - plan.topo.clear(); - plan.terminal.clear(); - plan.out_begin.clear(); - plan.out_end.clear(); - plan.head_pos.clear(); - if (cost != nullptr) *cost = kUnreachable; - plan.src_out_begin = 0; - plan.src_out_end = 0; - const auto edge_src = g.edge_src(); - const auto edge_dst = g.edge_dst(); - NodeMap& map = NodeMap::local(); - map.reset(static_cast(g.num_nodes())); - (void)map.add(src); // local 0 - for (NodeId d : dsts) (void)map.add(d); - const auto num_dst = static_cast(map.size()); // locals 1 .. num_dst - 1 - auto is_dst = [num_dst](std::int32_t v) { return v >= 1 && v < num_dst; }; - SplitScratch& s = split_scratch(); - s.edge.clear(); - s.tail.clear(); - s.head.clear(); - NodeId last_src = -1; - std::int32_t last_tail = -1; - for (std::size_t i = 0; i < edges.size(); ++i) { - const EdgeId e = edges[i]; - if (!keep(i, e)) continue; - const auto ei = static_cast(e); - if (edge_src[ei] != last_src) { - last_src = edge_src[ei]; - last_tail = map.add(last_src); - } - if (is_dst(last_tail)) continue; // destinations are terminal - s.edge.push_back(e); - s.tail.push_back(last_tail); - s.head.push_back(map.add(edge_dst[ei])); - } - const std::size_t n = map.size(); - const std::size_t k = s.edge.size(); - s.in_off.assign(n + 1, 0); - for (std::size_t a = 0; a < k; ++a) ++s.in_off[static_cast(s.head[a]) + 1]; - for (std::size_t v = 0; v < n; ++v) s.in_off[v + 1] += s.in_off[v]; - s.in_arc.resize(k); - s.cursor.assign(s.in_off.begin(), s.in_off.end() - 1); - for (std::size_t a = 0; a < k; ++a) { - s.in_arc[static_cast(s.cursor[static_cast(s.head[a])]++)] = static_cast(a); - } - // Backward DFS from the destinations, postorder. - s.state.assign(n, 0); - s.order.clear(); - for (std::int32_t d = 1; d < num_dst; ++d) { - if (s.state[static_cast(d)] != 0) continue; - s.state[static_cast(d)] = 1; - s.stack.clear(); - s.stack.emplace_back(d, s.in_off[static_cast(d)]); - while (!s.stack.empty()) { - const auto [v, it] = s.stack.back(); - if (it < s.in_off[static_cast(v) + 1]) { - s.stack.back().second = it + 1; - const std::int32_t u = s.tail[static_cast(s.in_arc[static_cast(it)])]; - const auto su = s.state[static_cast(u)]; - if (su == 0) { - s.state[static_cast(u)] = 1; - s.stack.emplace_back(u, s.in_off[static_cast(u)]); - } else if (su == 1) { - throw std::logic_error("kernel plan: the route is cyclic"); - } - } else { - s.state[static_cast(v)] = 2; - s.order.push_back(v); - s.stack.pop_back(); - } - } - } - // Forward over the postorder (with the cost DP when asked). - s.fwd.assign(n, 0); - if (s.state[0] == 2) s.fwd[0] = 1; - if (cost == nullptr) { - for (std::int32_t v : s.order) { - if (v == 0) continue; - const auto vi = static_cast(v); - for (auto it = s.in_off[vi]; it < s.in_off[vi + 1]; ++it) { - if (s.fwd[static_cast(s.tail[static_cast(s.in_arc[static_cast(it)])])] != 0) { - s.fwd[vi] = 1; - break; - } - } - } - } else { - const auto edge_cost = g.cost(); - s.dist.assign(n, kUnreachable); - s.dist[0] = 0; - Cost best = kUnreachable; - for (std::int32_t v : s.order) { - const auto vi = static_cast(v); - if (v != 0) { - Cost dv = kUnreachable; - for (auto it = s.in_off[vi]; it < s.in_off[vi + 1]; ++it) { - const auto a = static_cast(s.in_arc[static_cast(it)]); - const auto u = static_cast(s.tail[a]); - if (s.fwd[u] == 0) continue; - dv = std::min(dv, s.dist[u] + edge_cost[static_cast(s.edge[a])]); - } - if (dv == kUnreachable) continue; - s.fwd[vi] = 1; - s.dist[vi] = dv; - } - if (s.fwd[vi] != 0 && is_dst(v)) best = std::min(best, s.dist[vi]); - } - *cost = best; - } - // Members: the arcs from a reached tail to a head that reaches a destination, ascending. - s.member_arc.clear(); - for (std::size_t a = 0; a < k; ++a) { - if (s.fwd[static_cast(s.tail[a])] != 0 && s.state[static_cast(s.head[a])] == 2) { - s.member_arc.push_back(static_cast(a)); - } - } - const std::size_t num_members = s.member_arc.size(); - if (num_members == 0) return; - plan.members.reserve(num_members); - for (std::int32_t a : s.member_arc) plan.members.push_back(s.edge[static_cast(a)]); - // Positions: the postorder restricted to reached nodes; the source precedes every node it - // reaches, so it is first. - s.position.assign(n, -1); - std::int32_t num_pos = 0; - for (std::int32_t v : s.order) { - if (s.fwd[static_cast(v)] != 0) s.position[static_cast(v)] = num_pos++; - } - if (s.position[0] != 0) throw std::logic_error("kernel plan: the split graph does not start at its source"); - s.first.assign(n, -1); - s.count.assign(n, 0); - for (std::size_t m = 0; m < num_members; ++m) { - const auto t = static_cast(s.tail[static_cast(s.member_arc[m])]); - if (s.count[t] == 0) { - s.first[t] = static_cast(m); - } else if (static_cast(s.first[t] + s.count[t]) != m) { - throw std::logic_error("kernel plan: the members of a node are not consecutive (EdgeIds not in B' order)"); - } - ++s.count[t]; - } - const auto P = static_cast(num_pos); - plan.topo.reserve(P); - plan.terminal.reserve(P); - plan.out_begin.reserve(P); - plan.out_end.reserve(P); - for (std::int32_t v : s.order) { - const auto vi = static_cast(v); - if (s.fwd[vi] == 0) continue; - plan.topo.push_back(map.nodes()[vi]); - plan.terminal.push_back(is_dst(v) ? 1 : 0); - const std::int32_t b = s.count[vi] == 0 ? 0 : s.first[vi]; - plan.out_begin.push_back(b); - plan.out_end.push_back(b + s.count[vi]); - } - plan.head_pos.resize(num_members); - for (std::size_t m = 0; m < num_members; ++m) { - plan.head_pos[m] = s.position[static_cast(s.head[static_cast(s.member_arc[m])])]; - } - plan.src_out_begin = plan.out_begin[0]; - plan.src_out_end = plan.out_end[0]; -} - -// Per-thread per-node state of build_split_dag, indexed by NodeId and valid for a node only +// Per-thread per-node state of build_split, indexed by NodeId and valid for a node only // when its stamp is the current epoch (no clearing between calls; a call that throws leaves stale // entries behind an old epoch). One array of slots, so growing it either succeeds whole or leaves // the previous array in place (review-1b-fixes N1: separately grown arrays could be left at @@ -315,6 +110,8 @@ struct DagScratch { std::int32_t position {0}; std::int32_t first {0}; // the node's first member std::int32_t count {0}; // the node's number of members + std::int32_t entry_begin {0}; // the node's predecessor entries in the DAG's sparse storage + std::int32_t entry_end {0}; Cost dist {0}; }; std::uint32_t epoch {0}; @@ -345,28 +142,40 @@ DagScratch& dag_scratch() { return s; } -// build_split over a PredDAG, on the DAG's own predecessor lists (no local renumbering, no -// arc arrays, no CSR to build): the same members and structure as build_split over the DAG's -// ascending edge set. `keep(e)` filters edges. +// The split structure of a flow from src to the destination set over a DAG, on the DAG's own +// predecessor lists (no local renumbering, no arc arrays, no CSR to build), restricted to the +// edges `keep(e)` accepts: the kept edges on some walk from src to a destination (destinations +// terminal) become plan.members, with the plan's topological fields. One pass: a backward DFS +// from the destinations over the predecessor entries lists the nodes that reach a destination in +// postorder (every node after its parents, a topological order); a forward pass over that order +// marks the nodes the source reaches. Members ascend by EdgeId and B' ids rank edges by source +// first, so the members of one tail are consecutive. Any topological order gives the same +// allocation (a node splits once its inflow is complete). +// +// With `cost`, the forward pass also computes the minimum walk cost from the source to a +// destination over the members (kUnreachable without members): the DP runs in the same +// topological order. Without `out` (route_cost) the pass ends with the DP: no plan is built. template -void build_split_dag(const StrictMultiDiGraph& g, const PredDAG& dag, NodeId src, std::span dsts, - Keep keep, KernelPlan& plan, Cost* cost) { - plan.members.clear(); - plan.topo.clear(); - plan.terminal.clear(); - plan.out_begin.clear(); - plan.out_end.clear(); - plan.head_pos.clear(); - plan.src_out_begin = 0; - plan.src_out_end = 0; +void build_split(const Graph& g, const PredDAG& dag, NodeId src, std::span dsts, Keep keep, + KernelPlan* out, Cost* cost) { if (cost != nullptr) *cost = kUnreachable; - const auto off = dag.parent_offsets(); const auto parents = dag.parents(); const auto via = dag.via_edges(); DagScratch& s = dag_scratch(); s.begin(static_cast(g.num_nodes())); + // The DAG's sparse storage scattered into the per-node slots (O(member nodes)); every other + // node is touched with no entries. + { + const auto nodes = PredDAGBuilder::member_nodes(dag); + const auto offs = PredDAGBuilder::member_offsets(dag); + for (std::size_t i = 0; i < nodes.size(); ++i) { + s.touch(nodes[i]); + s.at(nodes[i]).entry_begin = offs[i]; + s.at(nodes[i]).entry_end = offs[i + 1]; + } + } for (NodeId d : dsts) { - s.touch(d); + if (!s.seen(d)) s.touch(d); s.at(d).target = 1; } if (!s.seen(src)) s.touch(src); @@ -378,10 +187,10 @@ void build_split_dag(const StrictMultiDiGraph& g, const PredDAG& dag, NodeId src if (s.at(d).state != 0) continue; s.at(d).state = 1; s.stack.clear(); - s.stack.emplace_back(d, off[static_cast(d)]); + s.stack.emplace_back(d, s.at(d).entry_begin); while (!s.stack.empty()) { const auto [v, k] = s.stack.back(); - if (k < off[static_cast(v) + 1]) { + if (k < s.at(v).entry_end) { s.stack.back().second = k + 1; const auto ki = static_cast(k); const NodeId u = parents[ki]; @@ -390,7 +199,7 @@ void build_split_dag(const StrictMultiDiGraph& g, const PredDAG& dag, NodeId src const auto su = s.at(u).state; if (su == 0) { s.at(u).state = 1; - s.stack.emplace_back(u, off[static_cast(u)]); + s.stack.emplace_back(u, s.at(u).entry_begin); } else if (su == 1) { throw std::logic_error("kernel plan: the route is cyclic"); } @@ -409,12 +218,11 @@ void build_split_dag(const StrictMultiDiGraph& g, const PredDAG& dag, NodeId src s.at(src).dist = 0; } for (NodeId v : s.order) { - const auto vi = static_cast(v); auto& nv = s.at(v); if (v != src) { Cost dv = kUnreachable; bool reached = false; - for (auto k = off[vi]; k < off[vi + 1]; ++k) { + for (auto k = nv.entry_begin; k < nv.entry_end; ++k) { const auto ki = static_cast(k); const NodeId u = parents[ki]; if (!s.seen(u)) continue; @@ -431,23 +239,44 @@ void build_split_dag(const StrictMultiDiGraph& g, const PredDAG& dag, NodeId src if (cost != nullptr && nv.fwd != 0 && nv.target != 0) best = std::min(best, nv.dist); } if (cost != nullptr) *cost = best; + if (out == nullptr) return; + KernelPlan& plan = *out; + plan.members.clear(); + plan.topo.clear(); + plan.terminal.clear(); + plan.out_begin.clear(); + plan.out_end.clear(); + plan.head_pos.clear(); + plan.src_out_begin = 0; + plan.src_out_end = 0; // Members, ascending: the DAG's edges kept, from a reached tail (not a destination) to a head // that reaches a destination. const auto edge_src = g.edge_src(); const auto edge_dst = g.edge_dst(); - s.member_tail.clear(); - s.member_head.clear(); - for (EdgeId e : PredDAGBuilder::ascending(dag)) { + // The member and node loops write by index into vectors sized to a known bound (the DAG's edges + // here, the reached nodes below): libc++ 22's emplace_back (a fast-path and a slow-path lambda) + // made the push_back form about ten percent slower on the kernel rows under Xcode 27. + const auto asc = PredDAGBuilder::ascending(dag); + const std::size_t bound = asc.size(); + plan.members.resize(bound); + s.member_tail.resize(bound); + s.member_head.resize(bound); + std::size_t n_members = 0; + for (EdgeId e : asc) { const auto ei = static_cast(e); const NodeId u = edge_src[ei]; const NodeId v = edge_dst[ei]; if (!s.seen(u) || s.at(u).fwd == 0 || s.at(u).target != 0) continue; if (!s.seen(v) || s.at(v).state != 2 || !keep(e)) continue; - plan.members.push_back(e); - s.member_tail.push_back(u); - s.member_head.push_back(v); - } - const std::size_t num_members = plan.members.size(); + plan.members[n_members] = e; + s.member_tail[n_members] = u; + s.member_head[n_members] = v; + ++n_members; + } + plan.members.resize(n_members); + s.member_tail.resize(n_members); + s.member_head.resize(n_members); + const std::size_t num_members = n_members; if (num_members == 0) return; std::int32_t num_pos = 0; for (NodeId v : s.order) { @@ -466,18 +295,20 @@ void build_split_dag(const StrictMultiDiGraph& g, const PredDAG& dag, NodeId src ++nt.count; } const auto P = static_cast(num_pos); - plan.topo.reserve(P); - plan.terminal.reserve(P); - plan.out_begin.reserve(P); - plan.out_end.reserve(P); + plan.topo.resize(P); + plan.terminal.resize(P); + plan.out_begin.resize(P); + plan.out_end.resize(P); + std::size_t pos = 0; for (NodeId v : s.order) { const auto& nv = s.at(v); if (nv.fwd == 0) continue; - plan.topo.push_back(v); - plan.terminal.push_back(nv.target); + plan.topo[pos] = v; + plan.terminal[pos] = nv.target; const std::int32_t b = nv.count == 0 ? 0 : nv.first; - plan.out_begin.push_back(b); - plan.out_end.push_back(b + nv.count); + plan.out_begin[pos] = b; + plan.out_end[pos] = b + nv.count; + ++pos; } plan.head_pos.resize(num_members); for (std::size_t m = 0; m < num_members; ++m) { @@ -487,85 +318,57 @@ void build_split_dag(const StrictMultiDiGraph& g, const PredDAG& dag, NodeId src plan.src_out_end = plan.out_end[0]; } -// The minimum walk cost from the source to a terminal over a split structure (positions in -// topological order, the source first). -Cost split_cost(const StrictMultiDiGraph& g, const KernelPlan& plan) { - if (plan.members.empty()) return kUnreachable; - const auto cost = g.cost(); - thread_local std::vector dist; - dist.assign(plan.topo.size(), kUnreachable); - dist[0] = 0; - Cost best = kUnreachable; - for (std::size_t p = 0; p < plan.topo.size(); ++p) { - if (dist[p] == kUnreachable) continue; - if (plan.terminal[p] != 0) { - best = std::min(best, dist[p]); - continue; - } - for (auto k = plan.out_begin[p]; k < plan.out_end[p]; ++k) { - const auto m = static_cast(k); - const auto h = static_cast(plan.head_pos[m]); - dist[h] = std::min(dist[h], dist[p] + cost[static_cast(plan.members[m])]); - } - } - return best; -} - } // namespace -std::vector prune(const StrictMultiDiGraph& g, std::span edges, NodeId src, - std::span dsts) { - std::vector sorted; - if (!std::is_sorted(edges.begin(), edges.end())) { - sorted.assign(edges.begin(), edges.end()); - std::sort(sorted.begin(), sorted.end()); - edges = sorted; - } +std::vector prune(const Graph& g, const PredDAG& dag, NodeId src, std::span dsts) { KernelPlan plan; - build_split(g, edges, src, dsts, [](std::size_t, EdgeId) { return true; }, plan); + build_split(g, dag, src, dsts, [](EdgeId) { return true; }, &plan, nullptr); return std::move(plan.members); } -KernelPlan make_plan(const StrictMultiDiGraph& g, FlowPlacement placement, Admission admission, EdgePriority priority, - NodeId src, std::span dsts, std::span route, - std::span creation_view) { +Cost route_cost(const Graph& g, const PredDAG& route, NodeId src, std::span dsts) { + Cost cost = kUnreachable; + build_split(g, route, src, dsts, [](EdgeId) { return true; }, nullptr, &cost); + return cost; +} + +KernelPlan make_plan(const Graph& g, FlowPlacement placement, Admission admission, EdgePriority priority, + NodeId src, std::span dsts, const PredDAG& route, + std::span creation_view, Cost* cost) { check_kernel(placement, admission, priority); - if (!std::is_sorted(route.begin(), route.end())) throw std::logic_error("make_plan: the route is not ascending"); + const auto edges = PredDAGBuilder::ascending(route); const bool by_view = placement == FlowPlacement::Weighted && priority == EdgePriority::Residual; - if (by_view && creation_view.size() != route.size()) { + if (by_view && creation_view.size() != edges.size()) { throw std::logic_error("make_plan: the creation view is not route-aligned"); } const auto capacity = g.capacity_units(); KernelPlan plan; plan.placement = placement; plan.admission = admission; - plan.priority = priority; plan.src = src; plan.dsts.assign(dsts.begin(), dsts.end()); - plan.route.assign(route.begin(), route.end()); + plan.route.assign(edges.begin(), edges.end()); + // The creation view of a route edge (the route ascends: a binary search). + auto creation = [&](EdgeId e) { + return creation_view[static_cast(std::lower_bound(edges.begin(), edges.end(), e) - edges.begin())]; + }; // Membership: MaxFlow every route edge (its view decides), Weighted Residual creation view // >= 1 unit, every other kernel static capacity >= 1 unit. - auto member = [&](std::size_t i, EdgeId e) { - if (by_view) return creation_view[i] >= 1; + auto member = [&](EdgeId e) { + if (by_view) return creation(e) >= 1; return placement == FlowPlacement::MaxFlow || capacity[static_cast(e)] >= 1; }; - build_split(g, route, src, dsts, member, plan); + build_split(g, route, src, dsts, member, &plan, cost); + // The route's cost is the members' only when every route edge is a member. + if (cost != nullptr && plan.members.size() != plan.route.size()) *cost = route_cost(g, route, src, dsts); if (placement == FlowPlacement::Weighted) { plan.weights.reserve(plan.members.size()); - std::size_t i = 0; - for (EdgeId e : plan.members) { - if (by_view) { - while (route[i] != e) ++i; // members are a subsequence of the route - plan.weights.push_back(creation_view[i]); - } else { - plan.weights.push_back(capacity[static_cast(e)]); - } - } + for (EdgeId e : plan.members) plan.weights.push_back(by_view ? creation(e) : capacity[static_cast(e)]); } return plan; } -KernelPlan make_route_plan(const StrictMultiDiGraph& g, FlowPlacement placement, Admission admission, +KernelPlan make_route_plan(const Graph& g, FlowPlacement placement, Admission admission, EdgePriority priority, NodeId src, std::span dsts, const PredDAG& bundle, const Eligibility* elig, Cost* cost) { check_kernel(placement, admission, priority); @@ -573,13 +376,12 @@ KernelPlan make_route_plan(const StrictMultiDiGraph& g, FlowPlacement placement, KernelPlan plan; plan.placement = placement; plan.admission = admission; - plan.priority = priority; plan.src = src; plan.dsts.assign(dsts.begin(), dsts.end()); auto usable = [&](EdgeId e) { return capacity[static_cast(e)] >= 1 && (elig == nullptr || elig->edge_ok(e)); }; - build_split_dag(g, bundle, src, dsts, usable, plan, cost); + build_split(g, bundle, src, dsts, usable, &plan, cost); plan.route = plan.members; if (placement == FlowPlacement::Weighted && priority == EdgePriority::Capacity) { plan.weights.reserve(plan.members.size()); @@ -588,19 +390,6 @@ KernelPlan make_route_plan(const StrictMultiDiGraph& g, FlowPlacement placement, return plan; } -Cost route_cost(const StrictMultiDiGraph& g, const KernelPlan& plan) { - // The bundle's minimum walk cost (APPROACH 8, rule 12): over the route (the record's - // bundle), not the split graph, so a Weighted plan whose membership excludes a zero-residual - // edge keeps its route's cost. members == route (members are a subset): the plan's own - // structure serves. - if (plan.route.empty()) return kUnreachable; - if (plan.members.size() == plan.route.size()) return split_cost(g, plan); - KernelPlan whole; - Cost cost = kUnreachable; - build_split(g, plan.route, plan.src, plan.dsts, [](std::size_t, EdgeId) { return true; }, whole, &cost); - return cost; -} - // ---------------------------------------------------------------- allocation bool allocate(const KernelPlan& plan, Amount total, std::span out, std::span limit) { @@ -628,17 +417,19 @@ bool allocate(const KernelPlan& plan, Amount total, std::span out, std:: inflow[static_cast(plan.head_pos[m])] += x; } } else { - // Round robin inline: floor(amount / k) each, one more to the first amount mod k. - const auto kk = static_cast(k); - const Amount base = amount / kk; - const auto extra = b + static_cast(amount % kk); - const std::size_t used = base == 0 ? extra : e; // members beyond carry 0 - for (std::size_t m = b; m < used; ++m) { - const Amount x = base + (m < extra ? 1 : 0); - if (limited && x > limit[m]) return false; + // Only the members with a positive share are written and visited (the rest stay 0). + bool fits = true; + round_robin(amount, k, [&](std::size_t i, Amount x) { + const std::size_t m = b + i; + if (limited && x > limit[m]) { + fits = false; + return false; + } out[m] = x; inflow[static_cast(plan.head_pos[m])] += x; - } + return true; + }); + if (!fits) return false; } } return true; @@ -768,7 +559,7 @@ TMax t_max(const KernelPlan& plan, std::span view_m) { return out; } -LosslessStep lossless_step(const StrictMultiDiGraph& g, const KernelPlan& plan, Amount total, +LosslessStep lossless_step(const Graph& g, const KernelPlan& plan, Amount total, std::span view_m, std::span own_m, std::optional request) { if (plan.admission != Admission::Lossless) throw std::logic_error("lossless_step on a Lossy plan"); @@ -782,6 +573,7 @@ LosslessStep lossless_step(const StrictMultiDiGraph& g, const KernelPlan& plan, if (r.placed < total) throw std::logic_error("MaxFlow kernel: the replacement solve lost committed flow"); out.total = r.placed; out.alloc = std::move(r.flows); + out.cost_distribution = std::move(r.cost_distribution); return out; } if (plan.members.empty()) { @@ -832,6 +624,7 @@ LossyStep lossy_step(const KernelPlan& plan, std::optional offer, std::s const std::size_t k = e - b; part.resize(k); Amount amount = p == 0 ? offer.value_or(0) : inflow[p]; + std::size_t n = k; // the members with a share (round robin leaves the rest at 0, unwritten) if (p == 0 && !offer.has_value()) { for (std::size_t i = 0; i < k; ++i) part[i] = w_m[b + i]; } else { @@ -839,10 +632,13 @@ LossyStep lossy_step(const KernelPlan& plan, std::optional offer, std::s if (weighted) { highest_averages(amount, std::span(plan.weights.data() + b, k), std::span(part.data(), k)); } else { - round_robin(amount, std::span(part.data(), k)); + n = round_robin(amount, k, [&](std::size_t i, Amount x) { + part[i] = x; + return true; + }); } } - for (std::size_t i = 0; i < k; ++i) { + for (std::size_t i = 0; i < n; ++i) { const Amount x = part[i]; if (p == 0) out.injected += x; if (x == 0) continue; diff --git a/src/max_flow.cpp b/src/max_flow.cpp deleted file mode 100644 index c77fb90..0000000 --- a/src/max_flow.cpp +++ /dev/null @@ -1,581 +0,0 @@ -/* - The one integer minimum-cost flow core (APPROACH 2.2). - - One objective on every view: minimum cost for the maximum value attainable under the value - cap. Successive shortest paths with potentials and blocking flows. Each tier runs Dijkstra on - reduced costs cost(e) + pi(u) - pi(v) to completion over the residual network reachable from - the virtual source s* (through the virtual sink t* and onward), adds the distances to the - potentials of the vertices it settled, then drains the zero-reduced-cost admissible subgraph - by Dinic phases (BFS levels, DFS with current-arc pointers) until no admissible augmenting - path remains or the cap is reached; then the next tier. Positive original costs do not - exclude zero-reduced-cost residual cycles, hence the repeated phases. The solve ends when a - Dijkstra does not reach t* or the cap is reached; there is no completion phase. - - Arc identity: every eligible edge is its own arc pair (forward with the view capacity, - reverse with the flow). At a node the forward arcs of its out-edges and the reverse arcs of - its in-edges are visited in one sequence by ascending EdgeId (a self-loop's forward arc before - its reverse arc); at a real endpoint its virtual arc comes first; s* visits its arcs by - ascending source NodeId and t* by ascending destination NodeId. Virtual arcs cost 0 and carry - 2^63 - 2 units, above every attainable value. Every solve starts from zero flow, so the zero - potentials are valid (all costs are positive). - - Dijkstra's queue is a radix heap: keys pop in increasing order and entries with equal keys pop - in a fixed order (last pushed first within the lowest bucket), so the settle order, and with it - every counter, is a function of the input alone. Equal-key order affects only the counters, - never a distance, a potential or an augmenting path. The solve runs to the cap or to - disconnection; there is no clamp of the cap (APPROACH 2.2, revision 25). - - Arithmetic stays in int64: every true residual distance is the cost of a simple residual path, - below the cost sum bound 2^62; potentials are such distances; a path's bottleneck contains a - real arc (sources and destinations are disjoint), so every amount is below 2^62. -*/ -#include "netgraph/core/max_flow.hpp" - -#include -#include -#include -#include -#include -#include - -#include "netgraph/core/detail/flow_core.hpp" -#include "netgraph/core/detail/node_map.hpp" - -namespace netgraph::core { - -namespace { - -constexpr Cost kInfDist = std::numeric_limits::max(); -constexpr Amount kUncapped = std::numeric_limits::max(); - -// Sorted, duplicate-free endpoint set; throws on an empty set or an id out of range. -std::vector endpoint_set(std::span nodes, std::int32_t n, const char* name) { - if (nodes.empty()) { - throw std::invalid_argument(std::string(name) + ": the endpoint set is empty"); - } - std::vector out(nodes.begin(), nodes.end()); - for (NodeId v : out) { - if (v < 0 || v >= n) { - throw std::invalid_argument(std::string(name) + ": node " + std::to_string(v) + - " out of node range [0, " + std::to_string(n) + ")"); - } - } - std::sort(out.begin(), out.end()); - out.erase(std::unique(out.begin(), out.end()), out.end()); - return out; -} - -// Monotone priority queue for Dijkstra on non-negative integer keys (a radix heap): a key goes -// to the bucket of the highest bit in which it differs from the last popped key, and a pop -// redistributes the first non-empty bucket below its minimum. Entries are (key, vertex); equal -// keys pop in a fixed order, so every run is a function of its input. -class RadixHeap { -public: - void clear() { - for (auto& b : buckets_) b.clear(); - last_ = 0; - size_ = 0; - } - [[nodiscard]] bool empty() const noexcept { return size_ == 0; } - void push(Cost key, std::int32_t v) { - buckets_[bucket(key)].emplace_back(key, v); - ++size_; - } - std::pair pop() { - if (buckets_[0].empty()) { - std::size_t i = 1; - while (buckets_[i].empty()) ++i; - auto& from = buckets_[i]; - Cost lowest = from.front().first; - for (const auto& entry : from) lowest = std::min(lowest, entry.first); - last_ = lowest; - for (const auto& entry : from) buckets_[bucket(entry.first)].push_back(entry); - from.clear(); - } - const auto top = buckets_[0].back(); - buckets_[0].pop_back(); - --size_; - return top; - } - -private: - [[nodiscard]] std::size_t bucket(Cost key) const noexcept { - return static_cast( - std::bit_width(static_cast(key) ^ static_cast(last_))); - } - std::array>, 65> buckets_ {}; - Cost last_ {0}; - std::size_t size_ {0}; -}; - -// The input of one solve in local coordinates: real vertices 0..num_nodes-1, the arcs of the -// active edges in ascending EdgeId (tail, head, cost and capacity per edge), and the endpoint -// sets as local vertices listed in ascending original NodeId. -struct SolveInput { - std::int32_t num_nodes {0}; - std::vector edges {}; - std::vector tail {}; - std::vector head {}; - std::vector cost {}; - std::vector cap {}; - std::vector sources {}; - std::vector destinations {}; -}; - -// The residual network of one solve: real vertices 0..N-1, s* = N, t* = N + 1. Arcs are stored -// as slots in adjacency order (the slots of u are [off_[u], off_[u + 1])), each with its head, -// its cost, its residual and the slot of its partner arc. -class Solver { -public: - // One reusable instance per thread (`local()`): init() resizes every buffer for the input, - // keeping capacity across calls, so repeated solves do not allocate once warm. Not - // reentrant (a solve never starts another). - static Solver& local() { - thread_local Solver solver; - return solver; - } - - void init(const SolveInput& in) { - in_ = ∈ - n_ = in.num_nodes + 2; - s_ = in.num_nodes; - t_ = in.num_nodes + 1; - mark_epoch_ = 0; - const auto n = static_cast(n_); - off_.assign(n + 1, 0); - auto deg = [&](std::int32_t v) { ++off_[static_cast(v) + 1]; }; - for (std::size_t k = 0; k < in.edges.size(); ++k) { - deg(in.tail[k]); - deg(in.head[k]); - } - for (std::int32_t s : in.sources) { deg(s); deg(s_); } - for (std::int32_t d : in.destinations) { deg(d); deg(t_); } - for (std::size_t v = 0; v < n; ++v) off_[v + 1] += off_[v]; - const auto num_slots = static_cast(off_[n]); - head_.resize(num_slots); - rev_.resize(num_slots); - cost_.resize(num_slots); - res_.resize(num_slots); - pos_.assign(off_.begin(), off_.end() - 1); - auto take = [&](std::int32_t v) { return pos_[static_cast(v)]++; }; - auto link = [&](std::int32_t a, std::int32_t to_a, Amount cap, Cost w, std::int32_t b, std::int32_t to_b) { - const auto ai = static_cast(a); - const auto bi = static_cast(b); - head_[ai] = to_a; - rev_[ai] = b; - cost_[ai] = w; - res_[ai] = cap; - head_[bi] = to_b; - rev_[bi] = a; - cost_[bi] = -w; - res_[bi] = 0; - }; - // Virtual arcs first at the real endpoints, then the real arcs by ascending EdgeId (forward - // slot at the tail, reverse slot at the head), then the slots of s* and t*. - src_rev_.resize(in.sources.size()); - dst_fwd_.resize(in.destinations.size()); - for (std::size_t i = 0; i < in.sources.size(); ++i) src_rev_[i] = take(in.sources[i]); - for (std::size_t i = 0; i < in.destinations.size(); ++i) dst_fwd_[i] = take(in.destinations[i]); - edge_slot_.resize(in.edges.size()); - for (std::size_t k = 0; k < in.edges.size(); ++k) { - const std::int32_t u = in.tail[k]; - const std::int32_t v = in.head[k]; - const std::int32_t fwd = take(u); - const std::int32_t bwd = take(v); - link(fwd, v, in.cap[k], in.cost[k], bwd, u); - edge_slot_[k] = fwd; - } - for (std::size_t i = 0; i < in.sources.size(); ++i) { - link(take(s_), in.sources[i], kMaxFlowCap, 0, src_rev_[i], s_); - } - for (std::size_t i = 0; i < in.destinations.size(); ++i) { - link(dst_fwd_[i], t_, kMaxFlowCap, 0, take(t_), in.destinations[i]); - } - pi_.assign(n, 0); - ever_.assign(n, 0); - dist_.resize(n); - level_.resize(n); - reach_.assign(n, 0); - cur_.resize(n); - } - - // The solve to the cap or to disconnection. Output in local coordinates: `flows` aligned with - // the input edges, `cut` as input edge indices (positive capacity, from the full residual - // closure of the real sources to its complement, ascending EdgeId) when the destinations are - // outside the closure, potentials per local vertex (kNeverReached when never settled). - struct Output { - Amount placed {0}; - std::vector> cost_distribution {}; - std::vector flows {}; - std::optional> cut {}; - std::vector potentials {}; - FlowCoreCounters counters {}; - }; - - // `closure` adds the cut; `potentials` the per-vertex potentials (the edge-subset entry - // needs neither). - Output run(Amount limit, bool closure, bool potentials = true) { - Output out; - auto& c = out.counters; - Amount total = 0; - while (total < limit) { - if (!dijkstra(c)) break; - const Cost tier_cost = pi_[static_cast(t_)] - pi_[static_cast(s_)]; - const Amount before = total; - while (total < limit) { - if (!build_levels(c)) break; - std::copy(off_.begin(), off_.end() - 1, cur_.begin()); - while (total < limit) { - if (!find_path(c)) break; - Amount amount = limit - total; - for (std::int32_t a : path_) amount = std::min(amount, res_[static_cast(a)]); - for (std::int32_t a : path_) { - res_[static_cast(a)] -= amount; - res_[static_cast(rev_[static_cast(a)])] += amount; - } - total += amount; - ++c.augmentations; - } - } - // A successful Dijkstra reaches t* over arcs with positive residual and zero reduced cost - // along its shortest paths, so the drain moves at least one unit. - if (total == before) { - throw std::logic_error("flow core: a successful Dijkstra drained nothing"); - } - out.cost_distribution.emplace_back(tier_cost, total - before); - } - out.placed = total; - - out.flows.resize(in_->edges.size()); - for (std::size_t k = 0; k < in_->edges.size(); ++k) { - const auto fwd = static_cast(edge_slot_[k]); - out.flows[k] = res_[static_cast(rev_[fwd])]; - } - if (closure) { - // Full residual closure seeded at the real sources (reverse and virtual arcs included). - std::vector seen(static_cast(n_), 0); - std::vector queue; - queue.reserve(static_cast(n_)); - for (std::int32_t s : in_->sources) { - seen[static_cast(s)] = 1; - queue.push_back(s); - } - for (std::size_t qi = 0; qi < queue.size(); ++qi) { - const auto u = static_cast(queue[qi]); - for (auto p = off_[u]; p < off_[u + 1]; ++p) { - const auto pi = static_cast(p); - const auto v = static_cast(head_[pi]); - if (res_[pi] > 0 && seen[v] == 0) { - seen[v] = 1; - queue.push_back(static_cast(v)); - } - } - } - if (seen[static_cast(t_)] == 0) { - std::vector cut; - for (std::size_t k = 0; k < in_->edges.size(); ++k) { - if (seen[static_cast(in_->tail[k])] != 0 && seen[static_cast(in_->head[k])] == 0 && - in_->cap[k] > 0) { - cut.push_back(static_cast(k)); - } - } - out.cut = std::move(cut); - } - } - if (potentials) { - out.potentials.resize(static_cast(in_->num_nodes)); - for (std::size_t v = 0; v < out.potentials.size(); ++v) { - out.potentials[v] = ever_[v] != 0 ? pi_[v] : kNeverReached; - } - } - return out; - } - -private: - // Dijkstra on reduced costs to completion; potentials of the settled vertices updated. - // Returns whether t* was reached. - bool dijkstra(FlowCoreCounters& c) { - ++c.dijkstra_runs; - std::fill(dist_.begin(), dist_.end(), kInfDist); - settled_.clear(); - heap_.clear(); - dist_[static_cast(s_)] = 0; - heap_.push(0, s_); - while (!heap_.empty()) { - const auto [du, ui] = heap_.pop(); - ++c.dijkstra_pops; - const auto u = static_cast(ui); - if (du != dist_[u]) continue; - settled_.push_back(ui); - ++c.settled; - const Cost base = du + pi_[u]; - const auto end = off_[u + 1]; - c.arc_scans += end - off_[u]; - for (auto p = off_[u]; p < end; ++p) { - const auto pi = static_cast(p); - if (res_[pi] <= 0) continue; - const auto v = static_cast(head_[pi]); - const Cost nd = base + cost_[pi] - pi_[v]; - if (nd < dist_[v]) { - dist_[v] = nd; - heap_.push(nd, static_cast(v)); - } - } - } - for (std::int32_t v : settled_) { - const auto vi = static_cast(v); - pi_[vi] += dist_[vi]; - ever_[vi] = 1; - } - return dist_[static_cast(t_)] != kInfDist; - } - - // BFS levels over admissible arcs (positive residual, zero reduced cost). Counts one phase. - // Only vertices that can reach t* over admissible arcs are levelled: every vertex on a - // shortest admissible path from s* to such a vertex reaches t* too, so their levels equal the - // levels of a full BFS, and the other vertices are dead ends that the DFS would only enter and - // leave. The forward search also stops once t*'s level is complete. The augmenting paths are - // therefore the ones a full BFS gives. - bool build_levels(FlowCoreCounters& c) { - const auto t = static_cast(t_); - // Reverse search from t*: the arc into v from head_[p] is the partner of v's slot p. - ++mark_epoch_; - queue_.clear(); - reach_[t] = mark_epoch_; - queue_.push_back(t_); - for (std::size_t qi = 0; qi < queue_.size(); ++qi) { - const auto v = static_cast(queue_[qi]); - const Cost pv = pi_[v]; - const auto end = off_[v + 1]; - c.arc_scans += end - off_[v]; - for (auto p = off_[v]; p < end; ++p) { - const auto pi = static_cast(p); - const auto u = static_cast(head_[pi]); - if (reach_[u] == mark_epoch_) continue; - const auto in = static_cast(rev_[pi]); - if (res_[in] > 0 && cost_[in] + pi_[u] == pv) { - reach_[u] = mark_epoch_; - queue_.push_back(static_cast(u)); - } - } - } - std::fill(level_.begin(), level_.end(), -1); - ++c.dinic_phases; - const auto s = static_cast(s_); - if (reach_[s] != mark_epoch_) return false; - queue_.clear(); - level_[s] = 0; - queue_.push_back(s_); - for (std::size_t qi = 0; qi < queue_.size(); ++qi) { - const auto u = static_cast(queue_[qi]); - if (level_[t] >= 0 && level_[u] >= level_[t]) break; - const Cost pu = pi_[u]; - const auto next = level_[u] + 1; - const auto end = off_[u + 1]; - c.arc_scans += end - off_[u]; - for (auto p = off_[u]; p < end; ++p) { - const auto pi = static_cast(p); - const auto v = static_cast(head_[pi]); - if (level_[v] < 0 && reach_[v] == mark_epoch_ && res_[pi] > 0 && cost_[pi] + pu == pi_[v]) { - level_[v] = next; - queue_.push_back(static_cast(v)); - } - } - } - return level_[t] >= 0; - } - - // One augmenting path s* -> t* in the level graph into path_ (current-arc pointers kept: an - // arc that is pushed through stays current; a dead end advances its parent's pointer). - bool find_path(FlowCoreCounters& c) { - stack_.clear(); - path_.clear(); - stack_.push_back(s_); - while (!stack_.empty()) { - const auto u = static_cast(stack_.back()); - if (static_cast(u) == t_) return true; - bool advanced = false; - const auto end = off_[u + 1]; - const auto next = level_[u] + 1; - const Cost pu = pi_[u]; - while (cur_[u] < end) { - ++c.arc_scans; - const auto pi = static_cast(cur_[u]); - const auto v = static_cast(head_[pi]); - if (res_[pi] > 0 && level_[v] == next && cost_[pi] + pu == pi_[v]) { - stack_.push_back(static_cast(v)); - path_.push_back(static_cast(pi)); - advanced = true; - break; - } - ++cur_[u]; - } - if (!advanced) { - stack_.pop_back(); - if (!path_.empty()) { - path_.pop_back(); - ++cur_[static_cast(stack_.back())]; - } - } - } - return false; - } - - const SolveInput* in_ {nullptr}; - std::int32_t n_ {0}; - std::int32_t s_ {0}; - std::int32_t t_ {0}; - std::vector pos_ {}; - std::vector src_rev_ {}; - std::vector dst_fwd_ {}; - std::vector off_ {}; - std::vector head_ {}; - std::vector rev_ {}; - std::vector cost_ {}; - std::vector res_ {}; - std::vector edge_slot_ {}; - std::vector pi_ {}; - std::vector ever_ {}; - std::vector dist_ {}; - std::vector settled_ {}; - RadixHeap heap_ {}; - std::vector level_ {}; - std::vector reach_ {}; - std::uint32_t mark_epoch_ {0}; - std::vector queue_ {}; - std::vector cur_ {}; - std::vector stack_ {}; - std::vector path_ {}; -}; - -} // namespace - -FlowCoreResult place_global_units(const StrictMultiDiGraph& g, - std::span view, - std::span sources, - std::span destinations, - const Eligibility* elig, - std::optional cap) { - const auto num_edges = static_cast(g.num_edges()); - if (view.size() != num_edges) { - throw std::invalid_argument("view has length " + std::to_string(view.size()) + ", expected " + - std::to_string(num_edges) + " (one entry per edge)"); - } - const auto capacity = g.capacity_units(); - for (std::size_t e = 0; e < num_edges; ++e) { - if (view[e] < 0 || view[e] > capacity[e]) { - throw std::invalid_argument("view[" + std::to_string(e) + "] = " + std::to_string(view[e]) + - " is outside [0, capacity_units[" + std::to_string(e) + "] = " + - std::to_string(capacity[e]) + "]"); - } - } - const auto srcs = endpoint_set(sources, g.num_nodes(), "sources"); - const auto dsts = endpoint_set(destinations, g.num_nodes(), "destinations"); - for (std::size_t i = 0, k = 0; i < srcs.size() && k < dsts.size();) { - if (srcs[i] == dsts[k]) { - throw std::invalid_argument("node " + std::to_string(srcs[i]) + - " is in both endpoint sets: sources and destinations must not overlap"); - } - if (srcs[i] < dsts[k]) ++i; else ++k; - } - if (cap.has_value() && (*cap < 0 || *cap > kMaxFlowCap)) { - throw std::invalid_argument("cap " + std::to_string(*cap) + " is outside [0, 2^63 - 2]"); - } - if (elig != nullptr && elig->graph_uid() != g.uid()) { - throw std::invalid_argument("foreign Eligibility: built for another graph"); - } - if (cap.has_value() && *cap == 0) { - // The input cap 0 runs nothing: the prescribed zero payload. - FlowCoreResult out; - out.edge_flows.assign(num_edges, 0); - out.potentials.assign(static_cast(g.num_nodes()), kNeverReached); - return out; - } - // Identity coordinates: every real vertex, the allowed edges and endpoints. - SolveInput in; - in.num_nodes = g.num_nodes(); - const auto edge_src = g.edge_src(); - const auto edge_dst = g.edge_dst(); - const auto cost = g.cost(); - in.edges.reserve(num_edges); - for (std::size_t e = 0; e < num_edges; ++e) { - if (elig != nullptr && !elig->edge_ok(static_cast(e))) continue; - in.edges.push_back(static_cast(e)); - in.tail.push_back(edge_src[e]); - in.head.push_back(edge_dst[e]); - in.cost.push_back(cost[e]); - in.cap.push_back(view[e]); - } - for (NodeId s : srcs) { - if (elig == nullptr || elig->node_ok(s)) in.sources.push_back(s); - } - for (NodeId d : dsts) { - if (elig == nullptr || elig->node_ok(d)) in.destinations.push_back(d); - } - Solver& solver = Solver::local(); - solver.init(in); - auto r = solver.run(cap.value_or(kUncapped), /*closure=*/true); - FlowCoreResult out; - out.placed = r.placed; - out.cost_distribution = std::move(r.cost_distribution); - out.edge_flows.assign(num_edges, 0); - for (std::size_t k = 0; k < in.edges.size(); ++k) { - out.edge_flows[static_cast(in.edges[k])] = r.flows[k]; - } - if (r.cut.has_value()) { - std::vector cut; - cut.reserve(r.cut->size()); - for (std::int32_t k : *r.cut) cut.push_back(in.edges[static_cast(k)]); - out.min_cut = std::move(cut); - } - out.potentials = std::move(r.potentials); - out.counters = r.counters; - return out; -} - -namespace detail { - -SubsetFlow solve_subset(const StrictMultiDiGraph& g, std::span edges, std::span caps, - std::span sources, std::span destinations, - std::optional cap) { - SubsetFlow out; - out.flows.assign(edges.size(), 0); - if (cap.has_value() && *cap == 0) return out; - const auto edge_src = g.edge_src(); - const auto edge_dst = g.edge_dst(); - const auto cost = g.cost(); - // Compressed vertices in first-touch order. The numbering changes no flow, curve or path: - // the arc order at every vertex is by EdgeId (virtual arc first) and the virtual arcs of s* - // and t* follow the endpoint lists, which stay in ascending NodeId. - NodeMap& map = NodeMap::local(); - map.reset(static_cast(g.num_nodes())); - // The input's storage is per thread and reused (every field is rewritten here). - thread_local SolveInput in; - in.edges.assign(edges.begin(), edges.end()); - in.tail.clear(); - in.head.clear(); - in.cost.clear(); - in.sources.clear(); - in.destinations.clear(); - for (EdgeId e : edges) { - const auto ei = static_cast(e); - in.tail.push_back(map.add(edge_src[ei])); - in.head.push_back(map.add(edge_dst[ei])); - in.cost.push_back(cost[ei]); - } - for (NodeId v : sources) in.sources.push_back(map.add(v)); - for (NodeId v : destinations) in.destinations.push_back(map.add(v)); - in.num_nodes = static_cast(map.size()); - in.cap.assign(caps.begin(), caps.end()); - Solver& solver = Solver::local(); - solver.init(in); - auto r = solver.run(cap.value_or(kUncapped), /*closure=*/false, /*potentials=*/false); - out.placed = r.placed; - out.flows = std::move(r.flows); - out.cost_distribution = std::move(r.cost_distribution); - return out; -} - -} // namespace detail - -} // namespace netgraph::core diff --git a/src/pinned_flow.cpp b/src/pinned_flow.cpp deleted file mode 100644 index 7888890..0000000 --- a/src/pinned_flow.cpp +++ /dev/null @@ -1,252 +0,0 @@ -/* - A Pinned placement with one bundle (the single-flow transaction of sub-PR 1b): the - per-flow kernel steps of detail/kernels.hpp committed through the ledger's internal entry - points, one atomic exchange per call (APPROACH 8, 9.2). -*/ -#include "netgraph/core/detail/pinned_flow.hpp" - -#include -#include -#include - -#include "netgraph/core/detail/ledger_access.hpp" -#include "netgraph/core/detail/pred_dag_builder.hpp" - -namespace netgraph::core::detail { - -PinnedFlow::PinnedFlow(FlowGraph& fg, NodeId src, NodeId dst, std::shared_ptr bundle, - FlowPlacement placement, Admission admission, EdgePriority priority, - std::shared_ptr elig) - : fg_(fg), src_(src), dst_(dst), bundle_(std::move(bundle)), placement_(placement), admission_(admission), - priority_(priority), elig_(std::move(elig)) { - check_kernel(placement, admission, priority); - const auto& g = *fg_.graph(); - for (NodeId v : {src, dst}) { - if (v < 0 || v >= g.num_nodes()) { - throw std::invalid_argument("Pinned: node " + std::to_string(v) + " out of node range [0, " + - std::to_string(g.num_nodes()) + ")"); - } - } - if (src == dst) { - throw std::invalid_argument("node " + std::to_string(src) + - " is in both endpoint sets: sources and destinations must not overlap"); - } - if (!bundle_) throw std::invalid_argument("Pinned: the bundle is null"); - if (bundle_->graph_uid() != g.uid()) throw std::invalid_argument("foreign PredDAG: built for another graph"); - if (elig_ && elig_->graph_uid() != g.uid()) throw std::invalid_argument("foreign Eligibility: built for another graph"); - // The usable route: statically eligible routable members on src -> dst walks. An empty one - // is either all-down (no_route at placement) or malformed (no walk at all: rejected). - const NodeId dsts[1] = {dst}; - const auto edges = PredDAGBuilder::ascending(*bundle_); - route_plan_ = make_route_plan(g, placement, admission, priority, src, dsts, *bundle_, elig_.get(), &route_cost_); - if (route_plan_.route.empty() && prune(g, edges, src, dsts).empty()) { - throw std::invalid_argument("Pinned: malformed bundle, no src -> dst walk (src " + std::to_string(src) + ", dst " + - std::to_string(dst) + ")"); - } - owner_ = LedgerAccess::bind(fg_); - bound_ = true; -} - -PinnedFlow::~PinnedFlow() { release(); } - -void PinnedFlow::release() noexcept { - if (!bound_) return; - LedgerAccess::release(fg_, owner_); - bound_ = false; -} - -void PinnedFlow::check_bound() const { - if (!bound_) throw std::logic_error("Pinned: the policy was released (destroyed)"); -} - -Amount PinnedFlow::placed_demand() const { - check_bound(); - return flow_id_.has_value() ? LedgerAccess::live(fg_, flow_id_->second).delivered : 0; -} - -void PinnedFlow::remove() { - check_bound(); - (void)LedgerAccess::detach(fg_, owner_); - flow_id_.reset(); - plan_ = nullptr; - captured_.reset(); - total_ = 0; - requested_ = Counter128 {}; - infinite_ = false; -} - -namespace { - -// Member index of e in the ascending member list (members contain every allocated edge). -std::size_t member_index(const std::vector& members, EdgeId e) { - const auto it = std::lower_bound(members.begin(), members.end(), e); - if (it == members.end() || *it != e) throw std::logic_error("Pinned: an allocation outside the split graph"); - return static_cast(it - members.begin()); -} - -// Per-thread member-aligned buffers of one call (nothing survives a call). -struct CallScratch { - std::vector own; - std::vector working; - std::vector view; - std::vector drops; -}; - -CallScratch& call_scratch() { - thread_local CallScratch s; - return s; -} - -} // namespace - -PinnedResult PinnedFlow::place(std::optional volume) { - check_bound(); - if (volume.has_value() && (*volume < 0 || *volume >= kDomainLimit)) { - throw std::invalid_argument("request " + std::to_string(*volume) + - " is outside [0, 2^62) units (requests are integer units or +inf)"); - } - if (infinite_ && volume.has_value()) { - throw std::invalid_argument( - "a finite request after +inf is rejected within an epoch (the cumulative finite request is undefined; " - "rule 13)"); - } - PinnedResult out; - if (volume.has_value() && *volume == 0) { - out.remaining = 0; - return out; - } - const auto& g = *fg_.graph(); - const auto base = LedgerAccess::baseline(fg_); - const auto held = LedgerAccess::allocated(fg_); - const bool created = !flow_id_.has_value(); - std::optional fresh; - const KernelPlan* plan = plan_; - if (created) { - if (route_plan_.route.empty()) { - // Nothing is created, but the epoch's call state records every positive request - // (the cumulative request and the finite-or-infinite state; APPROACH 8, 9.2). - if (volume.has_value()) { - Counter128 requested = requested_; - if (!requested.add(*volume)) { - throw std::invalid_argument("the cumulative requested counter would reach 2^127"); - } - requested_ = requested; - } else { - infinite_ = true; - } - out.remaining = volume; - out.termination = Termination::NoRoute; - return out; - } - if (placement_ == FlowPlacement::Weighted && priority_ == EdgePriority::Residual) { - // Membership and weights captured on the creation view W (route-aligned). - auto& view = call_scratch().view; - view.clear(); - for (EdgeId e : route_plan_.route) view.push_back(base[static_cast(e)] - held[static_cast(e)]); - const NodeId dsts[1] = {dst_}; - fresh = make_plan(g, placement_, admission_, priority_, src_, dsts, route_plan_.route, view); - plan = &*fresh; - } else { - plan = &route_plan_; - } - } - const auto& members = plan->members; - const FlowRecord* old = flow_id_.has_value() ? &LedgerAccess::live(fg_, flow_id_->second) : nullptr; - CallScratch& scratch = call_scratch(); - auto& own_m = scratch.own; - own_m.assign(members.size(), 0); - if (old != nullptr) { - for (const auto& [e, x] : old->edges) own_m[member_index(members, e)] = x; - } - auto& w_m = scratch.working; - w_m.resize(members.size()); - for (std::size_t m = 0; m < members.size(); ++m) { - const auto e = static_cast(members[m]); - w_m[m] = base[e] - held[e]; - } - - Draft d; - if (flow_id_.has_value()) d.id = flow_id_->second; - d.sources = {src_}; - d.destinations = {dst_}; - d.placement = placement_; - d.admission = admission_; - const Amount delivered0 = old != nullptr ? old->delivered : 0; - bool served = false; - Amount total_after = total_; - if (admission_ == Admission::Lossy) { - const auto step = lossy_step(*plan, volume, w_m); - Counter128 offered = (old != nullptr && old->offered.has_value()) ? *old->offered : Counter128 {}; - if (!offered.add(step.offered)) { - throw std::invalid_argument("the cumulative offered counter would reach 2^127"); - } - d.offered = offered; - auto& drops_m = scratch.drops; - drops_m.assign(members.size(), Counter128 {}); - if (old != nullptr) { - for (const auto& [e, x] : old->drops) drops_m[member_index(members, e)] = x; - } - for (std::size_t m = 0; m < members.size(); ++m) { - if (step.drops[m] == 0) continue; - if (!drops_m[m].add(step.drops[m])) { - throw std::invalid_argument("a cumulative drop counter would reach 2^127"); - } - out.drops.emplace_back(members[m], step.drops[m]); - } - for (std::size_t m = 0; m < members.size(); ++m) { - if (own_m[m] + step.carried[m] != 0) d.edges.emplace_back(members[m], own_m[m] + step.carried[m]); - if (!drops_m[m].is_zero()) d.drops.emplace_back(members[m], drops_m[m]); - } - d.delivered = delivered0 + step.delivered; - served = volume.has_value() && step.injected == *volume; - } else { - auto& v_m = scratch.view; - v_m.resize(members.size()); - for (std::size_t m = 0; m < members.size(); ++m) v_m[m] = w_m[m] + own_m[m]; - const auto step = lossless_step(g, *plan, total_, v_m, own_m, volume); - for (std::size_t m = 0; m < members.size(); ++m) { - if (step.alloc[m] != 0) d.edges.emplace_back(members[m], step.alloc[m]); - } - d.delivered = step.total; - total_after = step.total; - out.iterations = step.iterations; - served = volume.has_value() && step.total - delivered0 == *volume; - } - // The record's bundle is the usable route: the supplied DAG itself when nothing was pruned, - // else one DAG of the route made at the first creation and kept (the route is fixed). - std::shared_ptr route_dag = route_dag_; - if (!route_dag) { - route_dag = route_plan_.route.size() == bundle_->via_edges().size() - ? bundle_ - : std::make_shared(PredDAGBuilder::from_edges(g, route_plan_.route)); - } - d.bundle = route_dag; - d.route_cost = route_cost_; - const Amount delivered = d.delivered; - Counter128 requested = requested_; - if (volume.has_value() && !requested.add(*volume)) { - throw std::invalid_argument("the cumulative requested counter would reach 2^127"); - } - const auto ids = LedgerAccess::commit(fg_, owner_, std::span(&d, 1)); - // Committed: the epoch state follows (nothing below throws). - route_dag_ = std::move(route_dag); - if (created) { - if (fresh.has_value()) { - captured_ = std::move(fresh); - plan_ = &*captured_; - } else { - plan_ = &route_plan_; - } - flow_id_ = ids.front(); - } - total_ = total_after; - requested_ = requested; - if (!volume.has_value()) infinite_ = true; - out.placed = delivered - delivered0; - if (volume.has_value()) out.remaining = *volume - out.placed; - out.termination = served ? Termination::Complete : Termination::Exhausted; - out.routes_changed = created; - return out; -} - -} // namespace netgraph::core::detail diff --git a/src/pred_dag.cpp b/src/pred_dag.cpp index ec7f1ab..67d18a1 100644 --- a/src/pred_dag.cpp +++ b/src/pred_dag.cpp @@ -18,7 +18,7 @@ std::string idx(std::size_t i) { return std::to_string(i); } } // namespace -PredDAG PredDAG::from_csr(const StrictMultiDiGraph& g, std::span offsets, +PredDAG PredDAG::from_csr(const Graph& g, std::span offsets, std::span parents, std::span via) { const auto n = static_cast(g.num_nodes()); const auto m = static_cast(g.num_edges()); @@ -123,7 +123,13 @@ PredDAG PredDAG::from_csr(const StrictMultiDiGraph& g, std::span(v)); + out.node_offsets_.push_back(offsets[v + 1]); + } + } out.parents_.assign(parents.begin(), parents.end()); out.via_.assign(via.begin(), via.end()); out.edges_ = out.via_; @@ -131,43 +137,71 @@ PredDAG PredDAG::from_csr(const StrictMultiDiGraph& g, std::span PredDAG::parent_offsets() const { + std::vector out(static_cast(num_nodes_) + 1, 0); + std::size_t i = 0; + for (std::size_t v = 0; v < static_cast(num_nodes_); ++v) { + if (i < nodes_.size() && static_cast(nodes_[i]) == v) ++i; + out[v + 1] = node_offsets_[i]; + } + return out; +} + namespace detail { -PredDAG PredDAGBuilder::from_edges(const StrictMultiDiGraph& g, std::span edges) { - const auto n = static_cast(g.num_nodes()); +PredDAG PredDAGBuilder::of_edges(const Graph& g, std::span edges) { const auto edge_src = g.edge_src(); const auto edge_dst = g.edge_dst(); PredDAG out; out.graph_uid_ = g.uid(); - out.offsets_.assign(n + 1, 0); + out.num_nodes_ = g.num_nodes(); std::vector sorted(edges.begin(), edges.end()); - std::sort(sorted.begin(), sorted.end()); - for (EdgeId e : sorted) ++out.offsets_[static_cast(edge_dst[static_cast(e)]) + 1]; - for (std::size_t v = 0; v < n; ++v) out.offsets_[v + 1] += out.offsets_[v]; - out.parents_.resize(sorted.size()); - out.via_.resize(sorted.size()); - std::vector pos(out.offsets_.begin(), out.offsets_.end() - 1); - for (EdgeId e : sorted) { // ascending: each node's entries stay ascending - const auto ei = static_cast(e); - const auto k = static_cast(pos[static_cast(edge_dst[ei])]++); + if (!std::is_sorted(sorted.begin(), sorted.end())) std::sort(sorted.begin(), sorted.end()); + // Entries grouped by child (ascending NodeId), ascending via within a child: a stable + // counting sort of the ascending edges by their child. + std::vector slot(static_cast(out.num_nodes_) + 1, 0); + for (EdgeId e : sorted) ++slot[static_cast(edge_dst[static_cast(e)]) + 1]; + for (std::size_t v = 1; v < slot.size(); ++v) slot[v] += slot[v - 1]; + std::vector by_child(sorted.size()); + for (EdgeId e : sorted) { + by_child[static_cast(slot[static_cast(edge_dst[static_cast(e)])]++)] = e; + } + out.parents_.resize(by_child.size()); + out.via_.resize(by_child.size()); + for (std::size_t k = 0; k < by_child.size(); ++k) { + const auto ei = static_cast(by_child[k]); + const NodeId child = edge_dst[ei]; + if (out.nodes_.empty() || out.nodes_.back() != child) { + if (!out.nodes_.empty()) out.node_offsets_.push_back(static_cast(k)); + out.nodes_.push_back(child); + } out.parents_[k] = edge_src[ei]; - out.via_[k] = e; + out.via_[k] = by_child[k]; } + if (!out.nodes_.empty()) out.node_offsets_.push_back(static_cast(by_child.size())); out.edges_ = std::move(sorted); return out; } -PredDAG PredDAGBuilder::from_children(std::uint64_t graph_uid, const std::vector>& per_child, - const std::vector& parent_of) { +PredDAG PredDAGBuilder::of_path(std::uint64_t graph_uid, std::int32_t num_nodes, + const std::vector>& hops, const std::vector& nodes) { + // Hop h's child is nodes[h + 1]; the children are distinct, so ordering the hops by child + // gives the grouped entries. + std::vector order(hops.size()); + for (std::size_t h = 0; h < hops.size(); ++h) order[h] = h; + std::sort(order.begin(), order.end(), [&](std::size_t a, std::size_t b) { return nodes[a + 1] < nodes[b + 1]; }); PredDAG out; out.graph_uid_ = graph_uid; - out.offsets_.assign(per_child.size() + 1, 0); - for (std::size_t v = 0; v < per_child.size(); ++v) { - out.offsets_[v + 1] = out.offsets_[v] + static_cast(per_child[v].size()); - for (EdgeId e : per_child[v]) { - out.parents_.push_back(parent_of[v]); + out.num_nodes_ = num_nodes; + for (std::size_t h : order) { + std::vector members(hops[h]); + std::sort(members.begin(), members.end()); + out.nodes_.push_back(nodes[h + 1]); + for (EdgeId e : members) { + out.parents_.push_back(nodes[h]); out.via_.push_back(e); } + out.node_offsets_.push_back(static_cast(out.via_.size())); } out.edges_ = out.via_; std::sort(out.edges_.begin(), out.edges_.end()); @@ -176,9 +210,18 @@ PredDAG PredDAGBuilder::from_children(std::uint64_t graph_uid, const std::vector std::span PredDAGBuilder::ascending(const PredDAG& dag) noexcept { return dag.edges_; } +std::span PredDAGBuilder::member_nodes(const PredDAG& dag) noexcept { return dag.nodes_; } + +std::span PredDAGBuilder::member_offsets(const PredDAG& dag) noexcept { return dag.node_offsets_; } + +std::size_t PredDAGBuilder::payload_bytes(const PredDAG& dag) noexcept { + return sizeof(NodeId) * (dag.nodes_.size() + dag.parents_.size()) + sizeof(std::int32_t) * dag.node_offsets_.size() + + sizeof(EdgeId) * (dag.via_.size() + dag.edges_.size()); +} + } // namespace detail -Path::Path(const StrictMultiDiGraph& g, std::vector> hops) { +Path::Path(const Graph& g, std::vector> hops) { const auto m = static_cast(g.num_edges()); // Every member in range before any endpoint is read. for (std::size_t h = 0; h < hops.size(); ++h) { @@ -251,18 +294,10 @@ Path::Path(const StrictMultiDiGraph& g, std::vector> hops) { } PredDAG Path::to_dag() const { - // Built here (not through the builder) because a Path keeps no graph reference: the parent of - // every member of hop h is nodes_[h], its child nodes_[h + 1]; no node repeats, so each node - // holds the members of at most one hop. - std::vector> per_child(static_cast(num_nodes_)); - std::vector parent_of(static_cast(num_nodes_), -1); - for (std::size_t h = 0; h < hops_.size(); ++h) { - const auto child = static_cast(nodes_[h + 1]); - per_child[child] = hops_[h]; - std::sort(per_child[child].begin(), per_child[child].end()); - parent_of[child] = nodes_[h]; - } - return detail::PredDAGBuilder::from_children(graph_uid_, per_child, parent_of); + // From the hops and the visited nodes, as a Path keeps no graph reference: the parent of every + // member of hop h is nodes_[h], its child nodes_[h + 1]; no node repeats, so each node holds + // the members of at most one hop. + return detail::PredDAGBuilder::of_path(graph_uid_, num_nodes_, hops_, nodes_); } } // namespace netgraph::core diff --git a/src/profiling.cpp b/src/profiling.cpp deleted file mode 100644 index 7acfed9..0000000 --- a/src/profiling.cpp +++ /dev/null @@ -1,131 +0,0 @@ -/* - Profiling implementation - singleton definitions. - - These are defined in a .cpp file (not inline in the header) to avoid ODR - violations when linking a static library into a shared library (Python module). - With inline definitions, separate static variable instances can exist in each - translation unit, causing profiling data to be recorded in one instance while - being read from another. -*/ -#include "netgraph/core/profiling.hpp" - -#include // std::sort in dump() -#include - -namespace netgraph::core { - -bool profiling_enabled() noexcept { - static const bool enabled = [] { - const char* env = std::getenv("NGRAPH_CORE_PROFILE"); - return env && env[0] == '1'; - }(); - return enabled; -} - -ProfilingStats& ProfilingStats::instance() { - static auto* inst = new ProfilingStats(); - return *inst; -} - -ProfilingStats::LocalStats::LocalStats(ProfilingStats& owner) : owner_(owner) { - owner_.register_local(this); -} - -ProfilingStats::LocalStats::~LocalStats() { - owner_.finalize_local(this); -} - -void ProfilingStats::LocalStats::record(const char* name, double micros) { - std::lock_guard lock(mutex_); - auto& e = stats_[name]; - e.total_us += micros; - e.count++; - if (micros < e.min_us) e.min_us = micros; - if (micros > e.max_us) e.max_us = micros; -} - -void ProfilingStats::LocalStats::append_to(std::unordered_map& out) const { - std::lock_guard lock(mutex_); - for (const auto& [name, entry] : stats_) { - merge_entry(out[name], entry); - } -} - -void ProfilingStats::LocalStats::clear() { - std::lock_guard lock(mutex_); - stats_.clear(); -} - -ProfilingStats::LocalStats& ProfilingStats::local_stats() { - static thread_local LocalStats local(*this); - return local; -} - -void ProfilingStats::register_local(LocalStats* local) { - std::lock_guard lock(mutex_); - active_locals_.push_back(local); -} - -void ProfilingStats::finalize_local(LocalStats* local) { - std::lock_guard lock(mutex_); - local->append_to(finished_stats_); - auto it = std::find(active_locals_.begin(), active_locals_.end(), local); - if (it != active_locals_.end()) { - active_locals_.erase(it); - } -} - -void ProfilingStats::merge_entry(Entry& dst, const Entry& src) { - if (src.count == 0) { - return; - } - dst.total_us += src.total_us; - dst.count += src.count; - dst.min_us = std::min(dst.min_us, src.min_us); - dst.max_us = std::max(dst.max_us, src.max_us); -} - -std::unordered_map ProfilingStats::snapshot_unlocked() const { - auto snapshot = finished_stats_; - for (const LocalStats* local : active_locals_) { - local->append_to(snapshot); - } - return snapshot; -} - -void ProfilingStats::record(const char* name, double micros) { - local_stats().record(name, micros); -} - -void ProfilingStats::dump(std::ostream& out) const { - std::lock_guard lock(mutex_); - const auto snapshot = snapshot_unlocked(); - std::vector> ordered(snapshot.begin(), snapshot.end()); - std::sort( - ordered.begin(), - ordered.end(), - [](const auto& left, const auto& right) { return left.first < right.first; } - ); - - out << "\n=== NetGraph-Core Profiling Stats ===\n"; - for (const auto& [name, entry] : ordered) { - const double avg = entry.count > 0 ? entry.total_us / static_cast(entry.count) : 0.0; - out << name << ":\n" - << " calls: " << entry.count << "\n" - << " total: " << entry.total_us / 1000.0 << " ms\n" - << " avg: " << avg << " us\n" - << " min: " << entry.min_us << " us\n" - << " max: " << entry.max_us << " us\n"; - } - out << "=====================================\n"; -} - -void ProfilingStats::reset() { - std::lock_guard lock(mutex_); - finished_stats_.clear(); - for (LocalStats* local : active_locals_) { - local->clear(); - } -} - -} // namespace netgraph::core diff --git a/src/search.cpp b/src/search.cpp index 44b7e38..230fde4 100644 --- a/src/search.cpp +++ b/src/search.cpp @@ -1,5 +1,6 @@ /* - The search semantics of APPROACH 6 as internal routines (sub-PR 1b; public in 1d). + The search semantics of APPROACH 6 as internal routines, and the constructor of their + PathSelection. Distances are int64 path costs: every cost is positive and the sum of all costs is below 2^62, so no simple path cost overflows and kUnreachable (INT64_MAX) never collides. Dijkstra @@ -15,8 +16,10 @@ #include #include +#include "netgraph/core/detail/endpoints.hpp" +#include "netgraph/core/detail/enum_domain.hpp" #include "netgraph/core/detail/int128.hpp" -#include "netgraph/core/flow.hpp" +#include "netgraph/core/detail/pred_dag_builder.hpp" namespace netgraph::core::detail { @@ -28,39 +31,20 @@ int compare(const Priority& a, const Priority& b) noexcept { return left < right ? -1 : 1; } +Priority priority_value(EdgePriority priority, Amount residual, Amount capacity) noexcept { + if (priority == EdgePriority::Capacity) return {capacity, 1, false}; + if (priority == EdgePriority::Residual) return {residual, 1, false}; + return {residual, capacity, false}; +} + Priority PriorityValues::of(EdgeId e) const noexcept { const auto ei = static_cast(e); const Amount cap = g->capacity_units()[ei]; - if (residual.empty() || priority == EdgePriority::Capacity) return {cap, 1, false}; - if (priority == EdgePriority::Residual) return {residual[ei], 1, false}; - return {residual[ei], cap, false}; -} - -std::vector node_set(std::span nodes, std::int32_t num_nodes, const char* name) { - if (nodes.empty()) throw std::invalid_argument(std::string(name) + ": the node set is empty"); - std::vector out(nodes.begin(), nodes.end()); - for (NodeId v : out) { - if (v < 0 || v >= num_nodes) { - throw std::invalid_argument(std::string(name) + ": node " + std::to_string(v) + " out of node range [0, " + - std::to_string(num_nodes) + ")"); - } - } - std::sort(out.begin(), out.end()); - out.erase(std::unique(out.begin(), out.end()), out.end()); - return out; -} - -void check_disjoint(std::span a, std::span b) { - for (std::size_t i = 0, k = 0; i < a.size() && k < b.size();) { - if (a[i] == b[k]) { - throw std::invalid_argument("node " + std::to_string(a[i]) + - " is in both endpoint sets: the sets must not overlap"); - } - if (a[i] < b[k]) ++i; else ++k; - } + if (residual.empty()) return {cap, 1, false}; + return priority_value(priority, residual[ei], cap); } -std::vector member_mask(const StrictMultiDiGraph& g, const Eligibility* elig, +std::vector member_mask(const Graph& g, const Eligibility* elig, const PathSelection& selection, std::span residual, Amount min_residual) { const auto m = static_cast(g.num_edges()); @@ -75,8 +59,8 @@ std::vector member_mask(const StrictMultiDiGraph& g, const Eligibi if (selection.multi_edge) return member; // Collapse: one member per (u, v) by select_adjacency. const PriorityValues prio {&g, selection.priority, residual}; + const auto value = [&prio](EdgeId e) { return prio.of(e); }; const bool prefer = selection.tie_break == EdgeTieBreak::PreferHigherPriority; - const auto cost = g.cost(); const auto edge_dst = g.edge_dst(); const auto row = g.row_offsets(); std::vector best(static_cast(g.num_nodes()), -1); @@ -93,15 +77,7 @@ std::vector member_mask(const StrictMultiDiGraph& g, const Eligibi touched.push_back(static_cast(v)); continue; } - const auto ci = static_cast(cur); - bool better = false; - if (cost[ei] != cost[ci]) { - better = cost[ei] < cost[ci]; - } else if (prefer) { - const int c = compare(prio.of(e), prio.of(cur)); - better = c > 0; // equal priority: the lower EdgeId (cur, seen first) stays - } - if (better) best[v] = e; + if (replaces(g, e, cur, prefer, value)) best[v] = e; } for (std::size_t e = static_cast(row[static_cast(u)]); e < static_cast(row[static_cast(u) + 1]); ++e) { @@ -119,7 +95,7 @@ using MinHeap = std::priority_queue, std::grea } // namespace -std::vector distances(const StrictMultiDiGraph& g, std::span member, +std::vector distances(const Graph& g, std::span member, std::span roots, Direction direction) { const auto n = static_cast(g.num_nodes()); std::vector dist(n, kUnreachable); @@ -166,7 +142,7 @@ std::vector distances(const StrictMultiDiGraph& g, std::span full_dag(const StrictMultiDiGraph& g, std::span member, +std::vector full_dag(const Graph& g, std::span member, std::span dist, Direction direction) { const auto cost = g.cost(); const auto edge_src = g.edge_src(); @@ -183,7 +159,7 @@ std::vector full_dag(const StrictMultiDiGraph& g, std::span member, std::span sources, +TightDag tight_dag(const Graph& g, std::span member, std::span sources, std::span destinations) { const auto n = static_cast(g.num_nodes()); const auto cost = g.cost(); @@ -260,9 +236,9 @@ TightDag tight_dag(const StrictMultiDiGraph& g, std::span me return out; } -std::optional canonical_path(const StrictMultiDiGraph& g, std::span member, +std::optional canonical_path(const Graph& g, std::span member, std::span sources, std::span destinations, - const PriorityValues* priority, std::optional prefix_cap) { + const PriorityValues* priority) { TightDag tight = tight_dag(g, member, sources, destinations); if (tight.cost == kUnreachable) return std::nullopt; const auto n = static_cast(g.num_nodes()); @@ -303,8 +279,6 @@ std::optional canonical_path(const StrictMultiDiGraph& g, std::span< if (!b_star.has_value() || compare(*best[ti], *b_star) > 0) b_star = best[ti]; } if (!b_star.has_value()) return std::nullopt; - if (prefix_cap.has_value() && compare(*prefix_cap, *b_star) < 0) b_star = prefix_cap; - out.b_star = b_star; std::vector kept; for (EdgeId e : dag) { if (compare(priority->of(e), *b_star) >= 0) kept.push_back(e); @@ -367,25 +341,19 @@ std::optional canonical_path(const StrictMultiDiGraph& g, std::span< Cost walk_cost = 0; for (EdgeId e : out.walk) walk_cost += cost[static_cast(e)]; if (walk_cost != out.cost) throw std::logic_error("canonical path: the walk is not tight"); - if (priority != nullptr) { - Priority b {0, 1, true}; - for (EdgeId e : out.walk) { - const Priority p = priority->of(e); - if (compare(p, b) < 0) b = p; - } - out.bottleneck = b; - } return out; } -SpfOut spf(const StrictMultiDiGraph& g, std::span roots, Direction direction, +SpfOut spf(const Graph& g, std::span roots, Direction direction, std::optional> targets, const PathSelection& selection, std::optional> residual_arg, Amount min_residual, const Eligibility* elig) { + check_member(direction, "direction"); + check_selection(selection); const auto root_set = node_set(roots, g.num_nodes(), "roots"); std::vector target_set; if (targets.has_value()) { target_set = node_set(*targets, g.num_nodes(), "targets"); - check_disjoint(root_set, target_set); + check_disjoint(root_set, target_set, "roots", "targets"); } else if (!selection.multipath) { throw std::invalid_argument("multipath = false requires targets (the single path joins a root to a target)"); } @@ -449,4 +417,22 @@ SpfOut spf(const StrictMultiDiGraph& g, std::span roots, Direction return out; } +PredDAG static_support(const Graph& g, std::span roots, Direction direction, + const Eligibility* elig) { + const PathSelection full(EdgeTieBreak::Deterministic, EdgePriority::Capacity, true, true); + const auto out = spf(g, roots, direction, std::nullopt, full, std::nullopt, 1, elig); + return PredDAGBuilder::of_edges(g, out.edges); +} + } // namespace netgraph::core::detail + +namespace netgraph::core { + +// The selection of a search (options.hpp): its two enum-typed fields inside their enumerations. +PathSelection::PathSelection(EdgeTieBreak tie_break_, EdgePriority priority_, bool multipath_, bool multi_edge_) + : tie_break(tie_break_), priority(priority_), multipath(multipath_), multi_edge(multi_edge_) { + detail::check_member(tie_break, "tie_break"); + detail::check_member(priority, "priority"); +} + +} // namespace netgraph::core diff --git a/tests/cpp/masking_tests.cpp b/tests/cpp/eligibility_tests.cpp similarity index 93% rename from tests/cpp/masking_tests.cpp rename to tests/cpp/eligibility_tests.cpp index 30a2c6b..ca503ea 100644 --- a/tests/cpp/masking_tests.cpp +++ b/tests/cpp/eligibility_tests.cpp @@ -1,12 +1,12 @@ -// Eligibility (APPROACH 4) as the 1a graph builds it: dense node and edge flags from excluded -// ids, graph-bound, uid 0 for the all-allowed value. +// Eligibility (APPROACH 4) as the graph builds it: dense node and edge flags from excluded ids, +// graph-bound, uid 0 for the all-allowed value. #include #include #include #include -#include "netgraph/core/strict_multidigraph.hpp" +#include "netgraph/core/graph.hpp" #include "test_utils.hpp" using namespace netgraph::core; @@ -73,7 +73,7 @@ TEST(Eligibility, OutOfRangeIdsRejected) { EXPECT_THROW((void)g.eligibility(neg_node, {}), std::invalid_argument); } -// Eligibility.intersect (sub-PR 1b): an operand when the result equals it (its uid kept, a +// Eligibility.intersect: an operand when the result equals it (its uid kept, a // first), otherwise a new value with a fresh uid; values of different graphs rejected. TEST(Eligibility, IntersectReturnsAnOperandWhenEqual) { auto g = make_graph(3, {{0, 1, 1, 1}, {1, 2, 1, 1}, {0, 2, 1, 5}}); diff --git a/tests/cpp/fault_injection.hpp b/tests/cpp/fault_injection.hpp new file mode 100644 index 0000000..472a375 --- /dev/null +++ b/tests/cpp/fault_injection.hpp @@ -0,0 +1,101 @@ +// The allocation-failure hook of the fault-injection executable (netgraph_core_fault_tests) and +// the state its sweeps compare: flow_ledger_fault_tests.cpp replaces the global operator new so that +// the chosen allocation throws std::bad_alloc; every test file of the executable sweeps its +// operations through fails_at(). The counter is shared by every thread (the evaluators' workers +// allocate too): the k-th allocation in the process fails, whichever thread makes it. +#pragma once + +#include + +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/ledger_access.hpp" +#include "netgraph/core/flow_ledger.hpp" +#include "netgraph/core/flow_policy.hpp" + +// Allocations left before the injected failure; negative: no injection. +extern std::atomic g_countdown; + +// Runs fn with the k-th allocation (from 0) failing; returns whether that failure happened +// (and expects that a reached failure propagated as std::bad_alloc). +bool fails_at(long k, const std::function& fn); + +// As fails_at, counting only the allocations of threads other than the caller's (the +// evaluators' worker threads): the k-th worker allocation fails. +bool fails_in_workers_at(long k, const std::function& fn); + +namespace netgraph::core::test { + +// The ledger as a sweep compares it: the aggregate, the residual, every record field (FlowIds +// keep their local ids: a reference sequence runs on another ledger), the next FlowId and the +// bound and orphaned owners. +struct LedgerState { + std::vector allocated; + std::vector residual; + std::vector records; + std::int64_t next_id {0}; + std::vector bound; + std::vector orphans; +}; + +inline LedgerState ledger_state(const FlowLedger& fg) { + using detail::LedgerAccess; + LedgerState s {fg.allocated(), fg.residual(), fg.records(), LedgerAccess::next_flow_id(fg), + LedgerAccess::bound_owners(fg), LedgerAccess::orphan_owners(fg)}; + for (auto& r : s.records) { + EXPECT_EQ(r.flow_id.first, fg.uid()); + r.flow_id.first = 0; + } + return s; +} + +inline bool same_record(const FlowRecord& a, const FlowRecord& b) { + return a.flow_id == b.flow_id && a.owner == b.owner && a.sources == b.sources && a.destinations == b.destinations && + a.placement == b.placement && a.admission == b.admission && a.bundle && b.bundle && *a.bundle == *b.bundle && + a.route_cost == b.route_cost && a.offered == b.offered && a.delivered == b.delivered && a.edges == b.edges && + a.drops == b.drops; +} + +inline void expect_same(const LedgerState& a, const LedgerState& b, const std::string& where) { + EXPECT_EQ(a.allocated, b.allocated) << where; + EXPECT_EQ(a.residual, b.residual) << where; + EXPECT_EQ(a.next_id, b.next_id) << where; + EXPECT_EQ(a.bound, b.bound) << where; + EXPECT_EQ(a.orphans, b.orphans) << where; + ASSERT_EQ(a.records.size(), b.records.size()) << where; + for (std::size_t i = 0; i < a.records.size(); ++i) { + EXPECT_TRUE(same_record(a.records[i], b.records[i])) << where << " record " << i; + } +} + +// The ledger invariant: the aggregate is the sum of the records, within [0, baseline]. +inline void expect_balanced(const FlowLedger& fg, const std::string& where) { + std::vector sum(fg.allocated().size(), 0); + for (const auto& r : fg.records()) { + for (const auto& [e, x] : r.edges) sum[static_cast(e)] += x; + } + EXPECT_EQ(sum, fg.allocated()) << where; + for (Amount x : fg.residual()) EXPECT_GE(x, 0) << where; +} + +// Every field of a placement result. +inline void expect_same(const PlacementResult& a, const PlacementResult& b, const std::string& where) { + EXPECT_EQ(a.placed, b.placed) << where; + EXPECT_EQ(a.remaining, b.remaining) << where; + EXPECT_EQ(a.termination, b.termination) << where; + EXPECT_EQ(a.local_outcomes, b.local_outcomes) << where; + EXPECT_EQ(a.routes_changed, b.routes_changed) << where; + EXPECT_EQ(a.weights_changed, b.weights_changed) << where; + EXPECT_EQ(a.drops, b.drops) << where; + EXPECT_EQ(a.cost_distribution, b.cost_distribution) << where; + EXPECT_EQ(a.edge_flows, b.edge_flows) << where; + EXPECT_EQ(a.residual, b.residual) << where; + EXPECT_EQ(a.bottleneck, b.bottleneck) << where; + EXPECT_EQ(a.min_cut, b.min_cut) << where; +} + +} // namespace netgraph::core::test diff --git a/tests/cpp/flow_core_deletion_fault_tests.cpp b/tests/cpp/flow_core_deletion_fault_tests.cpp new file mode 100644 index 0000000..95acf70 --- /dev/null +++ b/tests/cpp/flow_core_deletion_fault_tests.cpp @@ -0,0 +1,453 @@ +// Allocation-failure atomicity of the deletion re-solve's paths (APPROACH 2.2, 13): the capture +// of a solve's final state (on cold and growing threads), the copy and the copy assignment of a +// state (between states of different sizes, on 1, 2 and 4 threads), a resolver's construction +// and every re-solve are swept over every allocation they make, and Global sensitivity over every +// allocation on 1, 2 and 4 workers. After each injected std::bad_alloc nothing is captured or +// constructed, an assigned state keeps its old value, the saved state is unchanged, and a clean +// retry (the same resolver included) gives the reference result. Runs in the fault-injection +// executable (fault_injection.hpp). +#include + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include "fault_injection.hpp" +#include "netgraph/core/detail/flow_core.hpp" +#include "netgraph/core/evaluators.hpp" +#include "test_utils.hpp" + +using namespace netgraph::core; +using namespace netgraph::core::test; +using detail::DeletionCapture; +using detail::DeletionResolver; +using detail::DeletionResult; +using detail::DeletionState; + +namespace { + +// Two sources and two destinations; deletions with full, partial and no reroute. +std::shared_ptr graph() { + return std::make_shared( + make_graph(8, {{0, 2, 2, 1}, {1, 2, 1, 2}, {2, 4, 2, 1}, {2, 5, 2, 3}, {1, 5, 1, 7}, {0, 4, 1, 9}, + {4, 5, 1, 1}, {3, 6, 4, 1}, {6, 7, 4, 1}, {5, 2, 1, 1}, {2, 3, 1, 2}, {6, 4, 2, 1}})); +} + +const std::vector kSources {0, 1}; +const std::vector kDestinations {4, 5, 7}; + +FlowCoreResult capture(const Graph& g, std::shared_ptr owner, + DeletionCapture& req) { + req.graph = std::move(owner); + const std::vector view(g.capacity_units().begin(), g.capacity_units().end()); + return place_global_units(g, view, kSources, kDestinations, nullptr, std::nullopt, &req); +} + +bool same_result(const DeletionResult& a, const DeletionResult& b) { + const auto& x = a.counters; + const auto& y = b.counters; + return a.value == b.value && a.potentials == b.potentials && a.cut == b.cut && a.edge_flows == b.edge_flows && + x.dijkstra_runs == y.dijkstra_runs && x.dijkstra_pops == y.dijkstra_pops && x.settled == y.settled && + x.arc_scans == y.arc_scans && x.dinic_phases == y.dinic_phases && x.augmentations == y.augmentations; +} + +bool same_state(const DeletionState& a, const DeletionState& b) { + return std::vector(a.residual().begin(), a.residual().end()) == + std::vector(b.residual().begin(), b.residual().end()) && + std::vector(a.potentials().begin(), a.potentials().end()) == + std::vector(b.potentials().begin(), b.potentials().end()) && + a.value() == b.value() && a.maximum() == b.maximum(); +} + +// Every field of two populated states: the graph and the network by identity (copies share +// them), the rest by value. +bool identical(const DeletionState& a, const DeletionState& b) { + const auto& x = a.counters(); + const auto& y = b.counters(); + return &a.graph() == &b.graph() && &a.network() == &b.network() && same_state(a, b) && + x.dijkstra_runs == y.dijkstra_runs && x.dijkstra_pops == y.dijkstra_pops && x.settled == y.settled && + x.arc_scans == y.arc_scans && x.dinic_phases == y.dinic_phases && x.augmentations == y.augmentations; +} + +// A state that never held a solve: no fields, and no resolver accepts it. +bool empty_state(const DeletionState& s) { + if (!s.residual().empty() || !s.potentials().empty() || s.value() != 0 || s.maximum()) return false; + try { + DeletionResolver rs(s); + } catch (const std::invalid_argument&) { + return true; + } + return false; +} + +// A captured state with its re-solve of every positive-flow edge. +struct Saved { + DeletionState state; + std::vector> results; +}; + +Saved saved(std::shared_ptr g, const std::vector& sources, + const std::vector& destinations) { + DeletionCapture req; + req.graph = g; + (void)place_global_units(*g, g->capacity_units(), sources, destinations, nullptr, std::nullopt, &req); + Saved out {*req.state, {}}; + const auto flows = out.state.edge_flows(); + for (EdgeId e = 0; e < g->num_edges(); ++e) { + if (flows[static_cast(e)] > 0) out.results.emplace_back(e, DeletionResolver(out.state).resolve(e)); + } + return out; +} + +// The path 0 -> 1 -> ... -> n - 1 (cost 1 per edge) at capacity c. +Saved chain(std::int32_t n, Amount c) { + std::vector edges; + for (NodeId v = 0; v + 1 < n; ++v) edges.push_back({v, v + 1, c, 1}); + return saved(std::make_shared(make_graph(n, edges)), {0}, {n - 1}); +} + +// The state is identical to `want`'s and serves its re-solves: a resolver on it gives every +// reference result (never run on a state that is not identical: a hybrid could crash it). +bool holds(const DeletionState& s, const Saved& want) { + if (!identical(s, want.state)) return false; + DeletionResolver rs(s); + for (const auto& [e, r] : want.results) { + if (!same_result(rs.resolve(e), r)) return false; + } + return !want.results.empty(); +} + +// Whether a copy of `from` needs more storage than `to` holds: then every assignment allocates. +bool grows(const DeletionState& to, const DeletionState& from) { + return from.residual().size() > to.residual().size() || from.potentials().size() > to.potentials().size(); +} + +// States of different coordinate sizes (N + 2 vertices and slots: 4 and 6 for the 2-node path, +// 8 and 14 for the 6-node paths, 10 and 34 for the 8-node graph, 13 and 24 for the 11-node path), +// and two of equal sizes with different residuals and values. +std::vector assignment_states() { + std::vector out; + out.push_back(chain(2, 2)); + out.push_back(chain(6, 2)); + out.push_back(chain(6, 3)); + const auto g = graph(); + out.push_back(saved(g, kSources, kDestinations)); + out.push_back(chain(11, 1)); + return out; +} + +} // namespace + +TEST(DeletionFaults, CaptureFailsWithoutAStateOrAChangedPayload) { + const auto g = graph(); + DeletionCapture want; + const auto payload = capture(*g, g, want); + ASSERT_TRUE(want.state.has_value()); + int failures = 0; + for (long at = 0;; ++at) { + DeletionCapture req; + FlowCoreResult got; + if (!fails_at(at, [&] { got = capture(*g, g, req); })) { + EXPECT_TRUE(same_payload(got, payload)); + ASSERT_TRUE(req.state.has_value()); + EXPECT_TRUE(same_state(*req.state, *want.state)); + break; + } + ++failures; + EXPECT_FALSE(req.state.has_value()) << "allocation " << at; + DeletionCapture retry; + EXPECT_TRUE(same_payload(capture(*g, g, retry), payload)) << "retry after allocation " << at; + } + EXPECT_GT(failures, 10); +} + +TEST(DeletionFaults, CopyAndResolverConstructionFailAtomically) { + const auto g = graph(); + DeletionCapture req; + (void)capture(*g, g, req); + const DeletionState saved = *req.state; + int failures = 0; + for (long at = 0;; ++at) { + std::optional copy; + if (!fails_at(at, [&] { copy.emplace(*req.state); })) break; + ++failures; + EXPECT_FALSE(copy.has_value()) << "copy, allocation " << at; + EXPECT_TRUE(same_state(*req.state, saved)) << "copy, allocation " << at; + } + for (long at = 0;; ++at) { + std::unique_ptr rs; + if (!fails_at(at, [&] { rs = std::make_unique(*req.state); })) break; + ++failures; + EXPECT_EQ(rs, nullptr) << "resolver, allocation " << at; + EXPECT_TRUE(same_state(*req.state, saved)) << "resolver, allocation " << at; + } + EXPECT_GT(failures, 10); +} + +// Every positive-flow edge, every allocation of a re-solve on a fresh resolver (its working +// storage grows) and on a warm one; the failed resolver serves the next call correctly. +TEST(DeletionFaults, EveryReSolveFailsWithoutPoisoningItsResolver) { + const auto g = graph(); + DeletionCapture req; + (void)capture(*g, g, req); + const DeletionState saved = *req.state; + const auto flows = saved.edge_flows(); + int failures = 0; + int candidates = 0; + for (EdgeId e = 0; e < g->num_edges(); ++e) { + if (flows[static_cast(e)] <= 0) continue; + ++candidates; + const auto want = DeletionResolver(saved).resolve(e); + for (bool warm : {false, true}) { + DeletionResolver kept(saved); + if (warm) (void)kept.resolve(e); + for (long at = 0;; ++at) { + DeletionResolver fresh(saved); + DeletionResolver& rs = warm ? kept : fresh; + DeletionResult got; + if (!fails_at(at, [&] { got = rs.resolve(e); })) { + EXPECT_TRUE(same_result(got, want)) << "edge " << e; + break; + } + ++failures; + EXPECT_TRUE(same_state(*req.state, saved)) << "edge " << e << " allocation " << at; + EXPECT_TRUE(same_result(rs.resolve(e), want)) << "edge " << e << " retry after allocation " << at; + } + } + } + EXPECT_GE(candidates, 5); + EXPECT_GT(failures, 50); +} + +// Review-coherence RC1: a copy assignment between populated states of different coordinate sizes +// (and onto itself) fails at every allocation without changing its target; the reviewer's +// reproducer (the 6-node path assigned to the 2-node path) is one of the pairs. A failed target is +// identical to its old value and serves its re-solves; a finished one is identical to the source. +TEST(DeletionFaults, CopyAssignmentFailsWithoutChangingItsTarget) { + const auto states = assignment_states(); + int sweeps = 0; + int failures = 0; + for (std::size_t i = 0; i < states.size(); ++i) { + for (std::size_t j = 0; j < states.size(); ++j) { + int failed_here = 0; + for (long at = 0;; ++at) { + DeletionState target = states[i].state; + const std::string where = "target " + std::to_string(i) + " source " + std::to_string(j) + " allocation " + + std::to_string(at); + const bool failed = fails_at(at, [&] { + if (i == j) { + const DeletionState& self = target; + target = self; + } else { + target = states[j].state; + } + }); + if (!failed) { + EXPECT_TRUE(holds(target, states[j])) << where; + break; + } + ++failed_here; + EXPECT_TRUE(holds(target, states[i])) << where; + ASSERT_FALSE(::testing::Test::HasFailure()) << where; + } + ++sweeps; + failures += failed_here; + if (grows(states[i].state, states[j].state)) EXPECT_GE(failed_here, 1) << "target " << i << " source " << j; + } + } + EXPECT_EQ(sweeps, 25); + EXPECT_GE(failures, 2 * sweeps); // the copy built aside allocates the residual and the potentials +} + +// An empty state (no solve) as the target keeps nothing after a failure and accepts no resolver; +// as the source it empties the target without allocating. +TEST(DeletionFaults, CopyAssignmentWithAnEmptyStateIsAllOrNothing) { + const auto states = assignment_states(); + for (std::size_t j = 0; j < states.size(); ++j) { + for (long at = 0;; ++at) { + DeletionState target; + if (!fails_at(at, [&] { target = states[j].state; })) { + EXPECT_TRUE(holds(target, states[j])) << "source " << j; + break; + } + EXPECT_TRUE(empty_state(target)) << "source " << j << " allocation " << at; + } + DeletionState target = states[j].state; + const DeletionState none; + EXPECT_FALSE(fails_at(0, [&] { target = none; })) << "target " << j; + EXPECT_TRUE(empty_state(target)) << "target " << j; + } +} + +// The moves of a state, of a resolver and of a capture request neither allocate nor throw (the +// exchange of the copy assignment); a moved resolver serves its state. +TEST(DeletionFaults, MovesNeverAllocate) { + const auto states = assignment_states(); + for (std::size_t i = 0; i + 1 < states.size(); ++i) { + DeletionState target = states[i].state; + DeletionState source = states[i + 1].state; + EXPECT_FALSE(fails_at(0, [&] { target = std::move(source); })) << i; + EXPECT_TRUE(identical(target, states[i + 1].state)) << i; + EXPECT_FALSE(fails_at(0, [&] { DeletionState moved(std::move(target)); })) << i; + DeletionResolver first(states[i].state); + DeletionResolver second(states[i + 1].state); + EXPECT_FALSE(fails_at(0, [&] { first = std::move(second); })) << i; + const auto& [e, want] = states[i + 1].results.front(); + EXPECT_TRUE(same_result(first.resolve(e), want)) << i; + DeletionCapture req; + req.state = states[i].state; + DeletionCapture other; + EXPECT_FALSE(fails_at(0, [&] { other = std::move(req); })) << i; + ASSERT_TRUE(other.state.has_value()); + EXPECT_TRUE(identical(*other.state, states[i].state)) << i; + } +} + +// Copy assignments on 1, 2 and 4 threads at once, each thread into its own target from a source +// whose graph and network the other threads' sources share; every allocation of the run fails +// once (any thread's, or the workers' only). A target whose assignment failed or never started +// keeps its old value, every other one holds its source. +TEST(DeletionFaults, CopyAssignmentsOnWorkerThreadsAreAllOrNothing) { + const auto states = assignment_states(); + const auto k = states.size(); + for (std::size_t workers : {1, 2, 4}) { + for (bool workers_only : {false, true}) { + if (workers == 1 && workers_only) continue; + int failures = 0; + for (long at = 0;; ++at) { + std::vector targets; + for (std::size_t t = 0; t < workers; ++t) targets.push_back(states[t % k].state); + std::vector done(workers, 0); + std::vector errors(workers); + auto body = [&](std::size_t t) noexcept { + try { + targets[t] = states[(t + 1) % k].state; + done[t] = 1; + } catch (...) { + errors[t] = std::current_exception(); + } + }; + auto run = [&] { + if (workers == 1) { + body(0); + } else { + std::vector pool; + pool.reserve(workers); + try { + for (std::size_t t = 0; t < workers; ++t) pool.emplace_back(body, t); + } catch (...) { + for (auto& th : pool) th.join(); + throw; + } + for (auto& th : pool) th.join(); + } + for (const auto& e : errors) { + if (e) std::rethrow_exception(e); + } + }; + const bool failed = workers_only ? fails_in_workers_at(at, run) : fails_at(at, run); + for (std::size_t t = 0; t < workers; ++t) { + const auto& want = done[t] != 0 ? states[(t + 1) % k] : states[t % k]; + EXPECT_TRUE(holds(targets[t], want)) << "workers " << workers << " thread " << t << " allocation " << at; + } + if (!failed) { + for (std::size_t t = 0; t < workers; ++t) EXPECT_EQ(done[t], 1) << "workers " << workers << " thread " << t; + break; + } + ++failures; + ASSERT_FALSE(::testing::Test::HasFailure()); + ASSERT_LT(at, 1000); + } + // Thread 0 assigns the 6-node path to the 2-node path: it allocates in every run. + EXPECT_GE(failures, 1) << "workers " << workers << " workers_only " << workers_only; + } + } +} + +// Review-coherence's strengthened sweep, kept as regression evidence: every allocation of the +// capture on a thread whose solver is cold, and on one whose solver first served a smaller graph +// (its storage grows), leaves no state and an unchanged payload; the retry on the same thread +// gives the reference payload and state. +TEST(DeletionFaults, CaptureFailsAtEveryAllocationOnAColdOrGrowingThread) { + const auto g = graph(); + DeletionCapture ref; + const auto payload = capture(*g, g, ref); + for (bool grow : {false, true}) { + int failures = 0; + for (long at = 0;; ++at) { + bool failed = false; + std::thread worker([&] { + if (grow) (void)chain(2, 2); + DeletionCapture req; + FlowCoreResult got; + failed = fails_at(at, [&] { got = capture(*g, g, req); }); + if (failed) { + EXPECT_FALSE(req.state.has_value()) << "allocation " << at; + got = capture(*g, g, req); + } + EXPECT_TRUE(same_payload(got, payload)) << "allocation " << at; + ASSERT_TRUE(req.state.has_value()); + EXPECT_TRUE(same_state(*req.state, *ref.state)) << "allocation " << at; + }); + worker.join(); + if (!failed) break; + ++failures; + ASSERT_FALSE(::testing::Test::HasFailure()); + ASSERT_LT(at, 1000); + } + EXPECT_GT(failures, 30) << "grow " << grow; + } +} + +// Review-coherence's strengthened sweep, kept as regression evidence: Global sensitivity at every +// allocation (any thread's, and the workers' only) on 1, 2 and 4 workers; after each failure a +// retry gives the reference baseline and every entry. +TEST(DeletionFaults, GlobalSensitivityFailsAtEveryAllocation) { + const auto g = std::make_shared( + make_graph(5, {{0, 1, 2, 1}, {1, 2, 2, 1}, {1, 3, 1, 2}, {3, 2, 1, 2}, {2, 4, 2, 1}, {0, 3, 1, 5}})); + const FlowPolicyConfig cfg {Global {}, FlowPlacement::MaxFlow, Admission::Lossless, + PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)}; + const SensitivityOptions opts {cfg, nullptr, nullptr, OutputOptions {true, true, true}}; + const std::vector sources {0}; + const std::vector destinations {4}; + const auto want = sensitivity(*g, sources, destinations, opts, 1); + ASSERT_EQ(want.entries.size(), 3U); // the cheapest path 0 -> 1 -> 2 -> 4 carries the maximum 2 + const auto same = [&](const SensitivityResult& got, const std::string& where) { + expect_same(got.baseline, want.baseline, where); + ASSERT_EQ(got.entries.size(), want.entries.size()) << where; + for (std::size_t i = 0; i < want.entries.size(); ++i) { + EXPECT_EQ(got.entries[i].edge, want.entries[i].edge) << where; + EXPECT_EQ(got.entries[i].loss, want.entries[i].loss) << where; + EXPECT_EQ(got.entries[i].status, want.entries[i].status) << where; + EXPECT_EQ(got.entries[i].reason, want.entries[i].reason) << where; + } + }; + for (std::int32_t workers : {1, 2, 4}) { + for (bool workers_only : {false, true}) { + if (workers == 1 && workers_only) continue; + int failures = 0; + for (long at = 0;; ++at) { + SensitivityResult got; + const auto call = [&] { got = sensitivity(*g, sources, destinations, opts, workers); }; + const std::string where = "workers " + std::to_string(workers) + (workers_only ? " (workers only)" : "") + + " allocation " + std::to_string(at); + if (!(workers_only ? fails_in_workers_at(at, call) : fails_at(at, call))) { + same(got, where); + break; + } + ++failures; + same(sensitivity(*g, sources, destinations, opts, workers), "retry after " + where); + ASSERT_FALSE(::testing::Test::HasFailure()); + ASSERT_LT(at, 10000); + } + EXPECT_GT(failures, workers_only ? 10 : 100) << "workers " << workers << " workers_only " << workers_only; + } + } +} diff --git a/tests/cpp/flow_core_deletion_tests.cpp b/tests/cpp/flow_core_deletion_tests.cpp new file mode 100644 index 0000000..7a86141 --- /dev/null +++ b/tests/cpp/flow_core_deletion_tests.cpp @@ -0,0 +1,856 @@ +// The deletion re-solve of the flow core (APPROACH 2.2) and the exact sensitivity model that uses +// it (APPROACH 11). Every check is independent of the repair: a solve from zero on the deleted +// view, the Bellman-Ford curve of test_utils.hpp, residuals rebuilt from flows, divergences and +// reduced costs computed here in __int128. +#include + +#include +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/flow_core.hpp" +#include "netgraph/core/evaluators.hpp" +#include "test_utils.hpp" + +using namespace netgraph::core; +using namespace netgraph::core::test; + +namespace { + +using detail::DeletionCapture; +using detail::DeletionResolver; +using detail::DeletionResult; +using detail::DeletionState; +using detail::FlowCoreCounters; +using detail::I128; +using detail::Network; + +constexpr std::size_t kNone = std::numeric_limits::max(); + +__int128 wide(I128 x) { + return static_cast<__int128>((static_cast(static_cast(x.hi)) << 64) | x.lo); +} + +// A solve to capture: the graph, the view, the endpoint sets, the eligibility and the cap. +struct Case { + std::shared_ptr g; + std::vector view; + std::vector sources; + std::vector destinations; + std::optional elig {}; + std::optional cap {}; + [[nodiscard]] const Eligibility* el() const { return elig ? &*elig : nullptr; } +}; + +Case make_case(std::int32_t n, const std::vector& edges, std::vector s, std::vector d) { + Case c; + c.g = std::make_shared(make_graph(n, edges)); + c.view.assign(c.g->capacity_units().begin(), c.g->capacity_units().end()); + c.sources = std::move(s); + c.destinations = std::move(d); + return c; +} + +DeletionCapture capture_of(const Case& c, FlowCoreResult* payload = nullptr) { + DeletionCapture req; + req.graph = c.g; + auto r = place_global_units(*c.g, c.view, c.sources, c.destinations, c.el(), c.cap, &req); + if (payload != nullptr) *payload = std::move(r); + return req; +} + +__int128 cost_of(const Graph& g, const std::vector& flows) { + __int128 total = 0; + for (std::size_t e = 0; e < flows.size(); ++e) total += static_cast<__int128>(g.cost()[e]) * flows[e]; + return total; +} + +__int128 cost_sum(const Graph& g) { + __int128 c = 0; + for (Cost w : g.cost()) c += w; + return c; +} + +// The local index of edge e in the state's network. +std::size_t local_of(const Network& net, EdgeId e) { + const auto it = std::lower_bound(net.edges.begin(), net.edges.end(), e); + return it != net.edges.end() && *it == e ? static_cast(it - net.edges.begin()) : kNone; +} + +// The tail of every slot. +std::vector slot_tails(const Network& net) { + std::vector tail(net.arc_head.size()); + for (std::int32_t x = 0; x < net.num_nodes + 2; ++x) { + for (auto p = net.off[static_cast(x)]; p < net.off[static_cast(x) + 1]; ++p) { + tail[static_cast(p)] = x; + } + } + return tail; +} + +// The residual of a flow (per EdgeId) on the network: real arcs from the flow and the view +// capacity, virtual arcs from the endpoints' divergences; the deleted edge's arcs zero. +std::vector residual_of(const Network& net, const std::vector& flows, std::size_t deleted) { + std::vector res(net.arc_head.size(), 0); + std::vector div(static_cast(net.num_nodes) + 2, 0); + for (std::size_t k = 0; k < net.edges.size(); ++k) { + const Amount f = flows[static_cast(net.edges[k])]; + const auto fwd = static_cast(net.edge_slot[k]); + const auto bwd = static_cast(net.rev[fwd]); + if (k == deleted) continue; + res[fwd] = net.cap[k] - f; + res[bwd] = f; + div[static_cast(net.tail[k])] += f; + div[static_cast(net.head[k])] -= f; + } + for (std::size_t i = 0; i < net.sources.size(); ++i) { + const Amount x = div[static_cast(net.sources[i])]; + const auto a = static_cast(net.src_rev[i]); + res[a] = x; + res[static_cast(net.rev[a])] = kMaxFlowCap - x; + } + for (std::size_t i = 0; i < net.destinations.size(); ++i) { + const Amount y = -div[static_cast(net.destinations[i])]; + const auto a = static_cast(net.dst_fwd[i]); + res[a] = kMaxFlowCap - y; + res[static_cast(net.rev[a])] = y; + } + return res; +} + +// The divergences (outflow minus inflow) every vertex should have: `at` lists (vertex, value). +std::vector<__int128> divergences(const Network& net, std::initializer_list> at) { + std::vector<__int128> d(static_cast(net.num_nodes) + 2, 0); + for (auto [v, x] : at) d[static_cast(v)] += x; + return d; +} + +// The failed checks of a residual with potentials on the network (APPROACH 2.2): capacity +// bounds (both arcs of a pair non-negative, summing to the pair's capacity; the deleted edge's +// pair zero), the divergence vector `want`, non-negative reduced cost on every positive +// residual arc (real and virtual), and the bound `bound` on every potential (non-negative). +std::vector check_residual(const Network& net, std::span res, std::span pi, + std::size_t deleted, const std::vector<__int128>& want, __int128 bound) { + std::vector fails; + const auto n = static_cast(net.num_nodes) + 2; + if (res.size() != net.arc_head.size() || pi.size() != n) return {"shape"}; + std::vector<__int128> div(n, 0); + for (std::size_t k = 0; k < net.edges.size(); ++k) { + const auto fwd = static_cast(net.edge_slot[k]); + const auto bwd = static_cast(net.rev[fwd]); + if (k == deleted) { + if (res[fwd] != 0 || res[bwd] != 0) fails.push_back("the deleted edge keeps a residual arc"); + continue; + } + if (res[fwd] < 0 || res[bwd] < 0 || res[fwd] + res[bwd] != net.cap[k]) { + fails.push_back("capacity bounds at edge " + std::to_string(net.edges[k])); + } + div[static_cast(net.tail[k])] += res[bwd]; + div[static_cast(net.head[k])] -= res[bwd]; + } + const auto S = static_cast(net.num_nodes); + const std::size_t T = S + 1; + auto virtual_pair = [&](std::size_t a, std::size_t from, std::size_t to, Amount flow) { + if (res[a] < 0 || res[static_cast(net.rev[a])] < 0 || + static_cast<__int128>(res[a]) + res[static_cast(net.rev[a])] != kMaxFlowCap) { + fails.push_back("capacity bounds at a virtual arc"); + } + div[from] += flow; + div[to] -= flow; + }; + for (std::size_t i = 0; i < net.sources.size(); ++i) { + const auto a = static_cast(net.src_rev[i]); + virtual_pair(a, S, static_cast(net.sources[i]), res[a]); + } + for (std::size_t i = 0; i < net.destinations.size(); ++i) { + const auto a = static_cast(net.dst_fwd[i]); + virtual_pair(a, static_cast(net.destinations[i]), T, res[static_cast(net.rev[a])]); + } + if (div != want) fails.push_back("divergence vector"); + const auto tail = slot_tails(net); + for (std::size_t a = 0; a < res.size(); ++a) { + if (res[a] <= 0) continue; + const auto u = static_cast(tail[a]); + const auto v = static_cast(net.arc_head[a]); + if (static_cast<__int128>(net.arc_cost[a]) + wide(pi[u]) - wide(pi[v]) < 0) { + fails.push_back("negative reduced cost on slot " + std::to_string(a) + (u >= S || v >= S ? " (virtual)" : "")); + } + } + for (std::size_t v = 0; v < n; ++v) { + if (wide(pi[v]) < 0 || wide(pi[v]) > bound) fails.push_back("potential outside [0, bound] at " + std::to_string(v)); + } + return fails; +} + +// Whether the real sources reach t* over positive residual arcs. +bool connected(const Network& net, std::span res) { + const auto n = static_cast(net.num_nodes) + 2; + std::vector seen(n, 0); + std::vector queue; + for (std::int32_t s : net.sources) { + seen[static_cast(s)] = 1; + queue.push_back(static_cast(s)); + } + for (std::size_t qi = 0; qi < queue.size(); ++qi) { + const auto u = queue[qi]; + for (auto p = net.off[u]; p < net.off[u + 1]; ++p) { + const auto v = static_cast(net.arc_head[static_cast(p)]); + if (res[static_cast(p)] > 0 && seen[v] == 0) { + seen[v] = 1; + queue.push_back(v); + } + } + } + return seen[n - 1] != 0; +} + +#if NETGRAPH_CORE_PRIVATE_HOOKS +// The re-solve of e observed by the probe: every observed state (after the deletion, after every +// potential update and push of the three repairs, at completion) is checked against the +// capacity bounds, the exact divergence vector of 2.2 for the amounts moved so far and dual +// feasibility on every positive residual arc. `updates` collects the counters after every +// potential update with its repair. +DeletionResult observed(DeletionResolver& rs, const DeletionState& st, EdgeId e, std::vector& fails, + bool rerun = false, std::vector>* updates = nullptr) { + const Network& net = st.network(); + const std::size_t k = local_of(net, e); + const std::int32_t u = net.tail[k]; + const std::int32_t v = net.head[k]; + const Amount F = st.value(); + const Amount f = st.edge_flows()[static_cast(e)]; + const __int128 n = net.num_nodes + 2; + const __int128 bound = (22 * n + 15) * cost_sum(st.graph()); + Amount moved[5] = {0, 0, 0, 0, 0}; + detail::DeletionProbe probe; + probe.rerun_failed_search = rerun; + probe.observe = [&](const detail::DeletionEvent& ev) { + if (ev.repair >= 1 && ev.repair <= 3) moved[ev.repair] = ev.moved; + const auto want = divergences(net, {{net.num_nodes, F - moved[2]}, + {net.num_nodes + 1, -static_cast<__int128>(F) + moved[3]}, + {u, -static_cast<__int128>(f) + moved[1] + moved[2]}, + {v, static_cast<__int128>(f) - moved[1] - moved[3]}}); + for (const auto& s : check_residual(net, ev.residual, ev.potentials, k, want, bound)) { + fails.push_back("repair " + std::to_string(ev.repair) + (ev.push ? " push" : " update") + ": " + s); + } + if (updates != nullptr && !ev.push && ev.repair >= 1 && ev.repair <= 3) updates->emplace_back(ev.repair, *ev.counters); + }; + return rs.resolve(e, probe); +} +#endif + +// Every check of 2.2 for the deletion of positive-flow edge e from the captured state of c. +void check_deletion(const Case& c, const DeletionState& st, EdgeId e, const std::string& where) { + const Network& net = st.network(); + const std::size_t k = local_of(net, e); + ASSERT_NE(k, kNone) << where; + const Amount f = st.edge_flows()[static_cast(e)]; + ASSERT_GT(f, 0) << where; + DeletionResolver rs(st); + const auto r = rs.resolve(e); +#if NETGRAPH_CORE_PRIVATE_HOOKS + std::vector fails; + const auto ro = observed(rs, st, e, fails); + for (const auto& s : fails) ADD_FAILURE() << where << ": " << s; + EXPECT_EQ(ro.value, r.value) << where; + EXPECT_EQ(ro.edge_flows, r.edge_flows) << where; +#endif + // From zero on V \ {e}, and the independent Bellman-Ford curve. + auto view = c.view; + view[static_cast(e)] = 0; + const auto fresh = place_global_units(*c.g, view, c.sources, c.destinations, c.el(), std::nullopt); + const auto ref = independent_curve(*c.g, view, c.sources, c.destinations, c.el()); + EXPECT_EQ(r.value, fresh.placed) << where; + EXPECT_EQ(r.value, ref.back().first) << where; + EXPECT_TRUE(cost_of(*c.g, r.edge_flows) == cost_of(*c.g, fresh.edge_flows)) << where; + EXPECT_TRUE(cost_of(*c.g, r.edge_flows) == ref.back().second) << where; + ASSERT_TRUE(fresh.min_cut.has_value()) << where; + EXPECT_EQ(r.cut, *fresh.min_cut) << where; + Amount cut_value = 0; + for (EdgeId x : r.cut) cut_value += view[static_cast(x)]; + EXPECT_EQ(cut_value, r.value) << where; + EXPECT_EQ(r.edge_flows[static_cast(e)], 0) << where; + // The final residual from the flow: bounds, divergences (value at s*), working potentials + // valid on every positive residual arc, the destinations disconnected. + const auto res = residual_of(net, r.edge_flows, k); + const __int128 n = net.num_nodes + 2; + const auto want = divergences(net, {{net.num_nodes, r.value}, {net.num_nodes + 1, -static_cast<__int128>(r.value)}}); + for (const auto& s : check_residual(net, res, r.potentials, k, want, (22 * n + 15) * cost_sum(*c.g))) { + ADD_FAILURE() << where << ": final: " << s; + } + EXPECT_FALSE(connected(net, res)) << where; + // At most m + 2 r Dijkstra runs. + const Amount rem = st.value() - r.value; + const Amount m = f - rem; + EXPECT_GE(rem, 0) << where; + EXPECT_LE(r.counters.dijkstra_runs, m + 2 * rem) << where; +} + +// The captured state's own checks: bounds, divergences, valid working potentials within +// (n + 1) C, and the certificate. +void check_state(const Case& c, const DeletionState& st, const FlowCoreResult& payload, const std::string& where) { + const Network& net = st.network(); + EXPECT_EQ(st.value(), payload.placed) << where; + EXPECT_EQ(st.edge_flows(), payload.edge_flows) << where; + const __int128 n = net.num_nodes + 2; + const auto want = + divergences(net, {{net.num_nodes, st.value()}, {net.num_nodes + 1, -static_cast<__int128>(st.value())}}); + for (const auto& s : check_residual(net, st.residual(), st.potentials(), kNone, want, (n + 1) * cost_sum(*c.g))) { + ADD_FAILURE() << where << ": state: " << s; + } + EXPECT_EQ(st.maximum(), !connected(net, st.residual())) << where; + const auto& x = st.counters(); + const auto& y = payload.counters; + EXPECT_TRUE(x.dijkstra_runs == y.dijkstra_runs && x.dijkstra_pops == y.dijkstra_pops && x.settled == y.settled && + x.arc_scans == y.arc_scans && x.dinic_phases == y.dinic_phases && x.augmentations == y.augmentations) + << where; +} + +// Every allowed edge of the captured state: positive flow by the re-solve, zero flow by a +// solve from zero on V \ {e} (the baseline's value and cost; no re-solve, which rejects it). +void check_every_edge(const Case& c, const std::string& where) { + FlowCoreResult payload; + const auto req = capture_of(c, &payload); + ASSERT_TRUE(req.state.has_value()) << where; + const DeletionState& st = *req.state; + check_state(c, st, payload, where); + ASSERT_TRUE(st.maximum()) << where; + const auto flows = st.edge_flows(); + for (EdgeId e : st.network().edges) { + const std::string at = where + " edge " + std::to_string(e); + if (flows[static_cast(e)] > 0) { + check_deletion(c, st, e, at); + } else { + auto view = c.view; + view[static_cast(e)] = 0; + const auto fresh = place_global_units(*c.g, view, c.sources, c.destinations, c.el(), std::nullopt); + EXPECT_EQ(fresh.placed, st.value()) << at; + EXPECT_TRUE(cost_of(*c.g, fresh.edge_flows) == cost_of(*c.g, flows)) << at; + DeletionResolver rs(st); + EXPECT_THROW((void)rs.resolve(e), std::invalid_argument) << at; + } + if (::testing::Test::HasFailure()) return; + } +} + +Case random_case(std::mt19937_64& rng) { + auto pick = [&](std::int64_t lo, std::int64_t hi) { return std::uniform_int_distribution(lo, hi)(rng); }; + const auto n = static_cast(pick(3, 8)); + std::vector nodes(static_cast(n)); + for (std::int32_t v = 0; v < n; ++v) nodes[static_cast(v)] = v; + std::shuffle(nodes.begin(), nodes.end(), rng); + const auto ns = static_cast(pick(1, std::min(3, n - 1))); + const auto nd = static_cast(pick(1, static_cast(nodes.size() - ns))); + std::vector s(nodes.begin(), nodes.begin() + static_cast(ns)); + std::vector d(nodes.begin() + static_cast(ns), + nodes.begin() + static_cast(ns + nd)); + std::vector edges; + const auto m = pick(1, 24); + for (std::int64_t i = 0; i < m; ++i) { + edges.push_back({static_cast(pick(0, n - 1)), static_cast(pick(0, n - 1)), pick(0, 4), pick(1, 13)}); + } + Case c = make_case(n, edges, s, d); + for (auto& x : c.view) { + if (pick(0, 1) == 1) x = pick(0, x); // a reduced view + } + if (pick(0, 1) == 1) { + std::vector xn; + std::vector xe; + for (NodeId v = 0; v < n; ++v) { + if (pick(0, 10) == 0) xn.push_back(v); + } + for (EdgeId e = 0; e < c.g->num_edges(); ++e) { + if (pick(0, 9) == 0) xe.push_back(e); + } + c.elig = c.g->eligibility(xn, xe); + } + return c; +} + +} // namespace + +// ------------------------------------------------------------------ the arithmetic + +TEST(FlowCoreDeletion, SignedWideArithmeticMatchesInt128) { + std::mt19937_64 rng(11); + auto any = [&] { + I128 x; + x.hi = static_cast(rng()) >> (rng() % 64); + x.lo = rng(); + return x; + }; + for (int i = 0; i < 20000; ++i) { + const I128 a = any(); + const I128 b = any(); + const __int128 x = wide(a); + const __int128 y = wide(b); + const auto wrap = [](__int128 z) { return static_cast<__int128>(static_cast(z)); }; + EXPECT_TRUE(wide(a + b) == wrap(static_cast<__int128>(static_cast(x) + static_cast(y)))); + EXPECT_TRUE(wide(a - b) == wrap(static_cast<__int128>(static_cast(x) - static_cast(y)))); + EXPECT_EQ(a < b, x < y); + EXPECT_EQ(a == b, x == y); + const auto c = static_cast(rng()); + EXPECT_TRUE(wide(I128 {c}) == c); + } +} + +// ------------------------------------------------------------------ the capture + +// The capture changes no field of the ordinary payload (every field, all six counters): cap 0 +// (no search), an infeasible positive cap, caps below, at and above the maximum, uncapped; +// never-reached sentinels and the final failed tier included. +TEST(FlowCoreDeletion, CaptureLeavesTheFromZeroPayloadUnchanged) { + std::mt19937_64 rng(5); + int compared = 0; + for (int trial = 0; trial < 250; ++trial) { + Case c = random_case(rng); + const auto ref = independent_curve(*c.g, c.view, c.sources, c.destinations, c.el()); + const Amount fmax = ref.back().first; + for (std::optional cap : {std::optional {}, std::optional {0}, + std::optional {fmax / 2}, std::optional {fmax}, + std::optional {fmax + 3}}) { + c.cap = cap; + const auto plain = place_global_units(*c.g, c.view, c.sources, c.destinations, c.el(), cap); + FlowCoreResult with; + const auto req = capture_of(c, &with); + ASSERT_TRUE(same_payload(plain, with)) << "trial " << trial; + ASSERT_TRUE(req.state.has_value()); + EXPECT_EQ(req.state->maximum(), !cap.has_value() || *cap >= fmax || fmax == 0) << "trial " << trial; + ++compared; + } + } + // An infeasible positive cap: no path, the failed first tier. + Case none = make_case(3, {{0, 1, 2, 1}}, {0}, {2}); + none.cap = 5; + const auto plain = place_global_units(*none.g, none.view, none.sources, none.destinations, nullptr, none.cap); + FlowCoreResult with; + const auto req = capture_of(none, &with); + EXPECT_TRUE(same_payload(plain, with)); + EXPECT_EQ(with.placed, 0); + EXPECT_EQ(with.counters.dijkstra_runs, 1); + EXPECT_TRUE(req.state->maximum()); + EXPECT_GT(compared, 1000); +} + +#if NETGRAPH_CORE_PRIVATE_HOOKS +namespace { + +// Captures c with the independent iterative all-vertex update beside: after every search, each +// vertex by its distance or, unreached, by the search's largest finite distance, from 0. +DeletionCapture capture_iterative(const Case& c, std::vector<__int128>& pi, int& searches) { + pi.assign(static_cast(c.g->num_nodes()) + 2, 0); + searches = 0; + DeletionCapture req; + req.graph = c.g; + req.on_search = [&](std::span d) { + Cost top = 0; + for (Cost x : d) { + if (x != std::numeric_limits::max()) top = std::max(top, x); + } + for (std::size_t v = 0; v < d.size(); ++v) pi[v] += d[v] != std::numeric_limits::max() ? d[v] : top; + ++searches; + }; + (void)place_global_units(*c.g, c.view, c.sources, c.destinations, c.el(), c.cap, &req); + return req; +} + +} // namespace +#endif + +// The running-sum checkpoints equal the iterative all-vertex update exactly, real and virtual +// vertices, a final failed search, never-settled vertices and the no-search cap-zero case +// included; a common offset keeps every reduced cost valid and fails this convention check. +TEST(FlowCoreDeletion, CheckpointsEqualTheIterativeUpdate) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + std::mt19937_64 rng(17); + int searched = 0; + for (int trial = 0; trial < 300; ++trial) { + Case c = random_case(rng); + const Amount fmax = independent_curve(*c.g, c.view, c.sources, c.destinations, c.el()).back().first; + for (std::optional cap : {std::optional {}, std::optional {0}, + std::optional {fmax / 2}, std::optional {fmax + 1}}) { + c.cap = cap; + std::vector<__int128> pi; + int searches = 0; + const auto req = capture_iterative(c, pi, searches); + const auto& st = *req.state; + ASSERT_EQ(st.potentials().size(), pi.size()); + for (std::size_t v = 0; v < pi.size(); ++v) ASSERT_TRUE(wide(st.potentials()[v]) == pi[v]) << trial << " " << v; + EXPECT_EQ(searches, st.counters().dijkstra_runs); + if (cap == 0) EXPECT_EQ(searches, 0); + searched += searches; + } + } + EXPECT_GT(searched, 1000); + // The common-offset mutant: valid reduced costs, the wrong convention. + Case c = make_case(5, {{0, 1, 3, 3}, {0, 2, 1, 3}, {1, 2, 2, 7}, {2, 3, 1, 3}, {3, 1, 1, 2}}, {0}, {3}); + std::vector<__int128> pi; + int searches = 0; + const auto req = capture_iterative(c, pi, searches); + const auto& st = *req.state; + std::vector shifted(st.potentials().begin(), st.potentials().end()); + for (auto& p : shifted) p += 1000; + const Network& net = st.network(); + const auto want = + divergences(net, {{net.num_nodes, st.value()}, {net.num_nodes + 1, -static_cast<__int128>(st.value())}}); + EXPECT_TRUE(check_residual(net, st.residual(), shifted, kNone, want, cost_sum(*c.g) * 1000).empty()); + bool same = true; + for (std::size_t v = 0; v < pi.size(); ++v) same = same && wide(shifted[v]) == pi[v]; + EXPECT_FALSE(same); +#else + GTEST_SKIP() << "needs the private hooks (NETGRAPH_CORE_PRIVATE_HOOKS)"; +#endif +} + +// ------------------------------------------------------------------ random views + +TEST(FlowCoreDeletion, EveryEdgeOfRandomViewsAgreesWithAFreshSolve) { + std::mt19937_64 rng(3005); + int deletions = 0; + for (int trial = 0; trial < 700; ++trial) { + Case c = random_case(rng); + const Amount fmax = independent_curve(*c.g, c.view, c.sources, c.destinations, c.el()).back().first; + // Uncapped, and positive caps at and above the independently established maximum. + for (std::optional cap : {std::optional {}, std::optional {std::max(fmax, 1)}, + std::optional {fmax + 2}}) { + c.cap = cap; + check_every_edge(c, "trial " + std::to_string(trial)); + if (::testing::Test::HasFailure()) return; + } + const auto req = capture_of(c); + for (Amount x : req.state->edge_flows()) deletions += x > 0 ? 1 : 0; + } + EXPECT_GT(deletions, 600); +} + +// ------------------------------------------------------------------ witnesses + +// Repair 1 reroutes everything (m = f, r = 0): u -> w -> v replaces u -> v. +TEST(FlowCoreDeletion, FullRepairOneReroute) { + const Case c = make_case(5, {{0, 1, 1, 1}, {1, 2, 1, 1}, {1, 3, 1, 5}, {3, 2, 1, 5}, {2, 4, 1, 1}}, {0}, {4}); + check_every_edge(c, "full reroute"); + const auto req = capture_of(c); + const EdgeId uv = id_of_input(*c.g)[1]; + const auto r = DeletionResolver(*req.state).resolve(uv); + EXPECT_EQ(r.value, 1); + EXPECT_TRUE(cost_of(*c.g, r.edge_flows) == 12); + EXPECT_EQ(r.counters.dijkstra_runs, 1); +} + +// No reroute (m = 0, r = 1): deleting the sole unit-capacity source-to-destination edge takes +// exactly two Dijkstra runs; the control that reruns repair 1's failed search takes three and +// fails the m + 2 r bound, with the same flow, potentials, phases and paths; the reuse skips +// exactly that search's work. +TEST(FlowCoreDeletion, SoleEdgeTakesTwoSearches) { + const Case c = make_case(2, {{0, 1, 1, 1}}, {0}, {1}); + check_every_edge(c, "sole edge"); + const auto req = capture_of(c); + DeletionResolver rs(*req.state); + const auto r = rs.resolve(0); + EXPECT_EQ(r.value, 0); + EXPECT_EQ(r.counters.dijkstra_runs, 2); +#if NETGRAPH_CORE_PRIVATE_HOOKS + std::vector fails; + std::vector> reuse_updates; + std::vector> rerun_updates; + const auto a = observed(rs, *req.state, 0, fails, false, &reuse_updates); + const auto b = observed(rs, *req.state, 0, fails, true, &rerun_updates); + for (const auto& s : fails) ADD_FAILURE() << s; + EXPECT_EQ(a.counters.dijkstra_runs, 2); + EXPECT_EQ(b.counters.dijkstra_runs, 3); // > m + 2 r = 2: the control fails the bound + EXPECT_EQ(a.edge_flows, b.edge_flows); + EXPECT_EQ(a.potentials, b.potentials); + EXPECT_EQ(a.cut, b.cut); + EXPECT_EQ(a.counters.dinic_phases, b.counters.dinic_phases); + EXPECT_EQ(a.counters.augmentations, b.counters.augmentations); + // The control's extra search: the counters between repair 1's last update and repair 2's + // first (no Dinic work between them). + ASSERT_EQ(rerun_updates.size(), reuse_updates.size() + 1); + std::size_t i = 0; + while (rerun_updates[i].first != 2) ++i; + const auto& before = rerun_updates[i - 1].second; + const auto& after = rerun_updates[i].second; + EXPECT_EQ(after.dinic_phases, before.dinic_phases); + EXPECT_EQ(after.augmentations, before.augmentations); + EXPECT_EQ(b.counters.dijkstra_runs - (after.dijkstra_runs - before.dijkstra_runs), a.counters.dijkstra_runs); + EXPECT_EQ(b.counters.dijkstra_pops - (after.dijkstra_pops - before.dijkstra_pops), a.counters.dijkstra_pops); + EXPECT_EQ(b.counters.settled - (after.settled - before.settled), a.counters.settled); + EXPECT_EQ(b.counters.arc_scans - (after.arc_scans - before.arc_scans), a.counters.arc_scans); + EXPECT_GT(after.settled - before.settled, 0); +#endif +} + +// Repair 1 moves part (m = 1 of f = 2); the remainder 1 goes back to s* and then from t* to v. +TEST(FlowCoreDeletion, PartialRerouteThenBothRemainderPushes) { + const Case c = make_case(5, {{0, 1, 2, 1}, {1, 2, 2, 1}, {1, 3, 1, 2}, {3, 2, 1, 2}, {2, 4, 2, 1}}, {0}, {4}); + check_every_edge(c, "partial reroute"); + const auto req = capture_of(c); + const EdgeId uv = id_of_input(*c.g)[1]; + ASSERT_EQ(req.state->edge_flows()[static_cast(uv)], 2); + const auto r = DeletionResolver(*req.state).resolve(uv); + EXPECT_EQ(r.value, 1); // r = 1, m = 1 + EXPECT_TRUE(cost_of(*c.g, r.edge_flows) == 6); + EXPECT_LE(r.counters.dijkstra_runs, 1 + 2 * 1); +} + +// Total loss: a bridge carrying every unit. +TEST(FlowCoreDeletion, TotalLoss) { + const Case c = make_case(3, {{0, 1, 3, 1}, {1, 2, 2, 1}, {1, 2, 1, 3}}, {0}, {2}); + check_every_edge(c, "total loss"); + const auto req = capture_of(c); + const auto r = DeletionResolver(*req.state).resolve(id_of_input(*c.g)[0]); + EXPECT_EQ(r.value, 0); + EXPECT_TRUE(r.cut.empty()); +} + +// Zero-flow deletions with positive view capacity (the deletion changes the canonical cut, not +// the value) and with zero view capacity (an arc crossing the closure without capacity). +TEST(FlowCoreDeletion, ZeroFlowDeletions) { + const Case positive = make_case(4, {{0, 1, 1, 1}, {1, 2, 1, 1}, {2, 3, 1, 1}, {0, 2, 1, 3}}, {0}, {3}); + check_every_edge(positive, "zero flow, positive capacity"); + const EdgeId spare = id_of_input(*positive.g)[3]; + const auto req = capture_of(positive); + EXPECT_EQ(req.state->edge_flows()[static_cast(spare)], 0); + FlowCoreResult base; + (void)capture_of(positive, &base); + auto view = positive.view; + view[static_cast(spare)] = 0; + const auto fresh = place_global_units(*positive.g, view, positive.sources, positive.destinations, nullptr, std::nullopt); + EXPECT_NE(*base.min_cut, *fresh.min_cut); + const Case zero = make_case(2, {{0, 1, 0, 1}}, {0}, {1}); + check_every_edge(zero, "zero view capacity"); + const auto zreq = capture_of(zero); + EXPECT_TRUE(zreq.state->maximum()); + EXPECT_EQ(zreq.state->value(), 0); +} + +// Parallel equal-cost ties: the re-solve's flow differs from the fresh solve's, its value, cost +// and cut do not (review-resolve/focused.py). +TEST(FlowCoreDeletion, TiedFlowsDifferValueCostAndCutAgree) { + const Case c = make_case(3, {{0, 1, 1, 2}, {0, 1, 2, 3}, {1, 2, 1, 1}, {1, 2, 1, 1}}, {0}, {2}); + check_every_edge(c, "ties"); + const auto req = capture_of(c); + const EdgeId dear = id_of_input(*c.g)[1]; + const auto r = DeletionResolver(*req.state).resolve(dear); + auto view = c.view; + view[static_cast(dear)] = 0; + const auto fresh = place_global_units(*c.g, view, c.sources, c.destinations, nullptr, std::nullopt); + EXPECT_EQ(r.edge_flows, (std::vector {1, 0, 0, 1})); + EXPECT_EQ(fresh.edge_flows, (std::vector {1, 0, 1, 0})); + EXPECT_EQ(r.value, 1); + EXPECT_TRUE(cost_of(*c.g, r.edge_flows) == 3); + EXPECT_EQ(r.cut, *fresh.min_cut); + EXPECT_EQ(r.cut, (std::vector {0})); +} + +// Several sources and destinations; edges out of a source, into a destination and between +// endpoints; masked endpoints; vertices no search reaches. +TEST(FlowCoreDeletion, EndpointsMasksAndUnreachedVertices) { + Case c = make_case(8, + {{0, 2, 2, 1}, {1, 2, 1, 2}, {2, 4, 2, 1}, {2, 5, 2, 3}, {1, 5, 1, 7}, {0, 4, 1, 9}, + {4, 5, 1, 1}, {3, 6, 4, 1}, {6, 7, 4, 1}, {5, 2, 1, 1}}, + {0, 1, 3}, {4, 5}); + check_every_edge(c, "endpoints"); + c.elig = c.g->eligibility(std::vector {1}, std::vector {}); + check_every_edge(c, "masked source"); + c.elig = c.g->eligibility(std::vector {4}, std::vector {id_of_input(*c.g)[3]}); + check_every_edge(c, "masked destination and edge"); +} + +// The near-domain cost witness of review-resolve/REPORT.md C2: H = 2^61 and a cost sum H + 11 +// below 2^62; the working potentials exceed int64 after the deletion, vertex 4 is never +// reached (the published sentinel, a numeric working potential). +TEST(FlowCoreDeletion, NearDomainCostsNeedWideWorkingPotentials) { + const Cost H = Cost {1} << 61; + const Case c = make_case(5, {{0, 1, 3, 3}, {0, 2, 1, 3}, {1, 2, 2, H}, {2, 3, 1, 3}, {3, 1, 1, 2}}, {0}, {3}); + ASSERT_TRUE(cost_sum(*c.g) == static_cast<__int128>(H) + 11); + FlowCoreResult payload; + const auto req = capture_of(c, &payload); + const auto& st = *req.state; + EXPECT_EQ(payload.potentials[4], kNeverReached); + const std::vector<__int128> base {0, 3, static_cast<__int128>(H) + 3, static_cast<__int128>(H) + 6, + static_cast<__int128>(H) + 6, 0, static_cast<__int128>(H) + 6}; + for (std::size_t v = 0; v < base.size(); ++v) EXPECT_TRUE(wide(st.potentials()[v]) == base[v]) << v; + const EdgeId e = id_of_input(*c.g)[3]; + check_deletion(c, st, e, "near domain"); + const auto r = DeletionResolver(st).resolve(e); + const __int128 h = H; + const std::vector<__int128> after {3 * h + 5, 2 * h + 8, 3 * h + 8, 2 * h + 6, 4 * h + 11, 3 * h + 5, 2 * h + 6}; + for (std::size_t v = 0; v < after.size(); ++v) EXPECT_TRUE(wide(r.potentials[v]) == after[v]) << v; + EXPECT_TRUE(wide(r.potentials[4]) > std::numeric_limits::max()); +} + +// The precondition: a state stopped by a cap below the maximum with a residual path left is +// rejected before any change; maximum states (uncapped, cap at the maximum) are accepted. +TEST(FlowCoreDeletion, OnlyMaximumStatesAreAccepted) { + Case c = make_case(2, {{0, 1, 1, 1}, {0, 1, 3, 2}}, {0}, {1}); + c.cap = 1; + const auto req = capture_of(c); + ASSERT_FALSE(req.state->maximum()); + const DeletionState saved = *req.state; + DeletionResolver rs(*req.state); + const EdgeId cheap = id_of_input(*c.g)[0]; + EXPECT_THROW((void)rs.resolve(cheap), std::invalid_argument); + EXPECT_EQ(std::vector(saved.residual().begin(), saved.residual().end()), + std::vector(req.state->residual().begin(), req.state->residual().end())); + for (std::optional cap : {std::optional {}, std::optional {4}}) { + c.cap = cap; + const auto ok = capture_of(c); + ASSERT_TRUE(ok.state->maximum()); + EXPECT_EQ(DeletionResolver(*ok.state).resolve(cheap).value, 3); + } + // Not an edge of the view, no flow, an empty state. + c.cap = std::nullopt; + c.elig = c.g->eligibility(std::vector {}, std::vector {cheap}); + const auto masked = capture_of(c); + EXPECT_THROW((void)DeletionResolver(*masked.state).resolve(cheap), std::invalid_argument); + EXPECT_THROW(DeletionResolver {DeletionState {}}, std::invalid_argument); +} + +// ------------------------------------------------------------------ the saved state + +// A saved state survives another solve on the same thread and serves candidates A, B, A: it +// never changes and both A results (flow, certificates, counters) agree, on 1, 2 and 4 threads +// each with its own resolver over one shared state. +TEST(FlowCoreDeletion, ASavedStateServesCandidatesIndependently) { + std::mt19937_64 rng(29); + int checked = 0; + for (int trial = 0; trial < 400 && checked < 20; ++trial) { + const Case c = random_case(rng); + const auto req = capture_of(c); + const DeletionState& st = *req.state; + std::vector positive; + for (EdgeId e : st.network().edges) { + if (st.edge_flows()[static_cast(e)] > 0) positive.push_back(e); + } + if (positive.size() < 2) continue; + ++checked; + const std::vector res0(st.residual().begin(), st.residual().end()); + const std::vector pi0(st.potentials().begin(), st.potentials().end()); + const DeletionState copy = st; // a copy shares the network only + const Case other = random_case(rng); + (void)place_global_units(*other.g, other.view, other.sources, other.destinations, other.el(), std::nullopt); + const EdgeId A = positive.front(); + const EdgeId B = positive.back(); + auto same = [](const DeletionResult& x, const DeletionResult& y) { + return x.value == y.value && x.potentials == y.potentials && x.cut == y.cut && x.edge_flows == y.edge_flows && + x.counters.dijkstra_runs == y.counters.dijkstra_runs && x.counters.dijkstra_pops == y.counters.dijkstra_pops && + x.counters.settled == y.counters.settled && x.counters.arc_scans == y.counters.arc_scans && + x.counters.dinic_phases == y.counters.dinic_phases && x.counters.augmentations == y.counters.augmentations; + }; + DeletionResolver one(copy); + const auto a1 = one.resolve(A); + const auto b1 = one.resolve(B); + const auto a2 = one.resolve(A); + EXPECT_TRUE(same(a1, a2)) << trial; + EXPECT_EQ(b1.value, DeletionResolver(st).resolve(B).value) << trial; + for (int threads : {2, 4}) { + std::vector resolvers; + for (int t = 0; t < threads; ++t) resolvers.emplace_back(st); + std::vector> got(static_cast(threads)); + std::vector pool; + for (int t = 0; t < threads; ++t) { + pool.emplace_back([&, t] { + auto& rs = resolvers[static_cast(t)]; + auto& out = got[static_cast(t)]; + out.push_back(rs.resolve(A)); + out.push_back(rs.resolve(B)); + out.push_back(rs.resolve(A)); + }); + } + for (auto& th : pool) th.join(); + for (const auto& out : got) { + EXPECT_TRUE(same(out[0], a1) && same(out[2], a1) && same(out[1], b1)) << trial << " threads " << threads; + } + } + EXPECT_EQ(std::vector(st.residual().begin(), st.residual().end()), res0) << trial; + EXPECT_EQ(std::vector(st.potentials().begin(), st.potentials().end()), pi0) << trial; + EXPECT_EQ(std::vector(copy.residual().begin(), copy.residual().end()), res0) << trial; + EXPECT_EQ(©.network(), &st.network()); + } + EXPECT_EQ(checked, 20); +} + +// ------------------------------------------------------------------ sensitivity + +namespace { + +FlowPolicyConfig global_config() { + return FlowPolicyConfig {Global {}, FlowPlacement::MaxFlow, Admission::Lossless, + PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)}; +} + +} // namespace + +// The exact model's loss is placed minus capacity() with the edge excluded, for every +// candidate (the baseline's positive-flow edges), on 1, 2 and 4 workers; zero-flow edges are +// not candidates. +TEST(Sensitivity, GlobalLossesEqualCapacityWithTheEdgeExcluded) { + std::mt19937_64 rng(41); + int entries = 0; + for (int trial = 0; trial < 300; ++trial) { + const Case c = random_case(rng); + const SensitivityOptions opts {global_config(), c.el()}; + const auto base = capacity(*c.g, c.sources, c.destinations, CapacityOptions {global_config(), c.el(), nullptr, + OutputOptions {true, false, false}}); + const auto s1 = sensitivity(*c.g, c.sources, c.destinations, opts, 1); + EXPECT_EQ(s1.baseline.placed, base.placed) << trial; + std::vector want; + for (EdgeId e = 0; e < c.g->num_edges(); ++e) { + if ((*base.edge_flows)[static_cast(e)] > 0) want.push_back(e); + } + ASSERT_EQ(s1.entries.size(), want.size()) << trial; + for (std::size_t i = 0; i < want.size(); ++i) { + const auto& entry = s1.entries[i]; + EXPECT_EQ(entry.edge, want[i]) << trial; + EXPECT_EQ(entry.status, SensitivityStatus::Evaluated) << trial; + const EdgeId one[1] = {entry.edge}; + Eligibility without = c.g->eligibility({}, one); + if (c.elig) without = Eligibility::intersect(*c.elig, without); + const auto fresh = capacity(*c.g, c.sources, c.destinations, CapacityOptions {global_config(), &without}); + EXPECT_EQ(entry.loss, base.placed - fresh.placed) << trial << " edge " << entry.edge; + ++entries; + } + for (std::int32_t workers : {2, 4}) { + const auto sw = sensitivity(*c.g, c.sources, c.destinations, opts, workers); + ASSERT_EQ(sw.entries.size(), s1.entries.size()); + for (std::size_t i = 0; i < sw.entries.size(); ++i) { + EXPECT_EQ(sw.entries[i].edge, s1.entries[i].edge); + EXPECT_EQ(sw.entries[i].loss, s1.entries[i].loss); + } + } + } + EXPECT_GT(entries, 300); +} + +// OutputOptions controls only the published baseline: every combination captures the same state +// (the same entries) and the baseline's optional fields are capacity()'s. +TEST(Sensitivity, GlobalBaselineKeepsEveryOutputsCombination) { + const Case c = make_case(5, {{0, 1, 2, 1}, {1, 2, 2, 1}, {1, 3, 1, 2}, {3, 2, 1, 2}, {2, 4, 2, 1}, {0, 3, 1, 5}}, + {0}, {4}); + const auto reference = sensitivity(*c.g, c.sources, c.destinations, SensitivityOptions {global_config()}, 1); + ASSERT_FALSE(reference.entries.empty()); + for (int bits = 0; bits < 8; ++bits) { + const OutputOptions outputs {(bits & 1) != 0, (bits & 2) != 0, (bits & 4) != 0}; + SensitivityOptions opts {global_config()}; + opts.outputs = outputs; + const auto s = sensitivity(*c.g, c.sources, c.destinations, opts, 1); + const auto cap = capacity(*c.g, c.sources, c.destinations, CapacityOptions {global_config(), nullptr, nullptr, outputs}); + EXPECT_EQ(s.baseline.placed, cap.placed) << bits; + EXPECT_EQ(s.baseline.cost_distribution, cap.cost_distribution) << bits; + EXPECT_EQ(s.baseline.edge_flows, cap.edge_flows) << bits; + EXPECT_EQ(s.baseline.residual, cap.residual) << bits; + EXPECT_EQ(s.baseline.bottleneck, cap.bottleneck) << bits; + EXPECT_EQ(s.baseline.min_cut, cap.min_cut) << bits; + EXPECT_EQ(s.baseline.edge_flows.has_value(), outputs.edge_flows) << bits; + ASSERT_EQ(s.entries.size(), reference.entries.size()) << bits; + for (std::size_t i = 0; i < s.entries.size(); ++i) { + EXPECT_EQ(s.entries[i].edge, reference.entries[i].edge) << bits; + EXPECT_EQ(s.entries[i].loss, reference.entries[i].loss) << bits; + } + } +} diff --git a/tests/cpp/max_flow_tests.cpp b/tests/cpp/flow_core_tests.cpp similarity index 96% rename from tests/cpp/max_flow_tests.cpp rename to tests/cpp/flow_core_tests.cpp index b49378b..b9177c2 100644 --- a/tests/cpp/max_flow_tests.cpp +++ b/tests/cpp/flow_core_tests.cpp @@ -1,4 +1,5 @@ -// The flow core of APPROACH 2.2 through place_global_units: the review witnesses (expected +// The flow core of APPROACH 2.2 through place_global_units: a first solve on a fresh graph, the +// review witnesses (expected // values derived by hand and from prototype 1, `prototypes/p1_amount/flowcore.py`), the // certificate in its two branches, input validation, determinism, and randomized graphs // certified against an exhaustive optimum (tier a) and an independent solver (tier b). @@ -12,7 +13,7 @@ #include #include -#include "netgraph/core/max_flow.hpp" +#include "netgraph/core/detail/flow_core.hpp" #include "test_utils.hpp" using namespace netgraph::core; @@ -39,7 +40,7 @@ std::vector chain_plus_bypasses(Cost factor = 1) { return {{0, 1, 1, factor}, {1, 2, 1, factor}, {2, 3, 1, factor}, {0, 2, 1, 3 * factor}, {1, 3, 1, 3 * factor}}; } -void expect_certified(const StrictMultiDiGraph& g, const std::vector& s, const std::vector& d, +void expect_certified(const Graph& g, const std::vector& s, const std::vector& d, std::optional cap, const FlowCoreResult& r, const std::vector* view = nullptr, const Eligibility* elig = nullptr, bool tier_a = true) { std::vector full(g.capacity_units().begin(), g.capacity_units().end()); @@ -59,6 +60,18 @@ std::string error_of(const std::function& fn) { } // namespace +TEST(FlowCore, ConstructAndSolve) { + // 0 -> 1 (cost 10), 1 -> 2 (cost 20), 0 -> 2 (cost 100); capacities 10 units each. + const auto g = make_graph(3, {{0, 1, 10, 10}, {1, 2, 10, 20}, {0, 2, 10, 100}}); + EXPECT_EQ(g.num_nodes(), 3); + EXPECT_EQ(g.num_edges(), 3); + const auto r = solve(g, {0}, {2}, std::nullopt); + EXPECT_EQ(r.placed, 20); + ASSERT_EQ(r.cost_distribution.size(), 2u); + EXPECT_EQ(r.cost_distribution[0], (std::pair {30, 10})); // 0 -> 1 -> 2 first + EXPECT_EQ(r.cost_distribution[1], (std::pair {100, 10})); // then the direct edge +} + TEST(FlowCore, QuantisedCapacitiesFamily) { // Physical 2.5q is 3 units and 0.5q is 1 unit (review-2 R1 at 1a: the quantised network). const double q = std::ldexp(1.0, -12); @@ -380,8 +393,8 @@ TEST(FlowCore, InputValidationBeforeAnyWork) { EXPECT_NE(call({2}, s, d, 1).find("view has length 1, expected 2"), std::string::npos); EXPECT_NE(call({2, 3}, s, d, 1).find("capacity_units"), std::string::npos); EXPECT_NE(call({-1, 2}, s, d, 1).find("outside"), std::string::npos); - EXPECT_NE(call(view, {}, d, 1).find("sources: the endpoint set is empty"), std::string::npos); - EXPECT_NE(call(view, s, {}, 1).find("destinations: the endpoint set is empty"), std::string::npos); + EXPECT_NE(call(view, {}, d, 1).find("sources: the node set is empty"), std::string::npos); + EXPECT_NE(call(view, s, {}, 1).find("destinations: the node set is empty"), std::string::npos); EXPECT_NE(call(view, {3}, d, 1).find("out of node range"), std::string::npos); EXPECT_NE(call(view, s, {-1}, 1).find("out of node range"), std::string::npos); EXPECT_NE(call(view, {0, 2}, {2}, 1).find("both endpoint sets"), std::string::npos); @@ -416,7 +429,7 @@ TEST(FlowCore, IdenticalCallsIdenticalPayloads) { namespace { struct RandomCase { - StrictMultiDiGraph g; + Graph g; std::vector s, d; std::vector view; std::optional cap; diff --git a/tests/cpp/ledger_fault_tests.cpp b/tests/cpp/flow_ledger_fault_tests.cpp similarity index 63% rename from tests/cpp/ledger_fault_tests.cpp rename to tests/cpp/flow_ledger_fault_tests.cpp index d343dcd..8bc6526 100644 --- a/tests/cpp/ledger_fault_tests.cpp +++ b/tests/cpp/flow_ledger_fault_tests.cpp @@ -1,5 +1,5 @@ -// Allocation-failure atomicity of the ledger and the single-bundle transaction (APPROACH 8, -// 9.2; review-1b D1). This executable replaces the global operator new so that one chosen +// Allocation-failure atomicity of the ledger and of a one-bundle Pinned policy's transaction +// (APPROACH 8, 9.2; review-1b D1). This executable replaces the global operator new so that one chosen // allocation throws std::bad_alloc. Every operation is swept over every allocation it makes: // after each injected failure the ledger (aggregate, residual, every record field, bound and // orphaned owners, next FlowId) and the policy (epoch state, flow id, plan) must equal their @@ -18,18 +18,24 @@ #include "netgraph/core/detail/ledger_access.hpp" #include "netgraph/core/detail/node_map.hpp" -#include "netgraph/core/detail/pinned_flow.hpp" #include "netgraph/core/detail/pred_dag_builder.hpp" -#include "netgraph/core/flow_graph.hpp" +#include "netgraph/core/flow_ledger.hpp" +#include "fault_injection.hpp" +#include "pinned_one.hpp" #include "test_utils.hpp" -namespace { -// Allocations left before the injected failure; negative: no injection. -long g_countdown = -1; -} // namespace +// Allocations left before the injected failure; negative: no injection (fault_injection.hpp). +// Shared by every thread; with g_workers_only the calling test thread's allocations do not count. +std::atomic g_countdown {-1}; +static std::atomic g_workers_only {false}; +static thread_local bool t_test_thread = false; void* operator new(std::size_t n) { - if (g_countdown >= 0 && g_countdown-- == 0) throw std::bad_alloc(); + if (g_countdown.load(std::memory_order_relaxed) >= 0 && + !(t_test_thread && g_workers_only.load(std::memory_order_relaxed)) && + g_countdown.fetch_sub(1, std::memory_order_relaxed) == 0) { + throw std::bad_alloc(); + } if (void* p = std::malloc(n == 0 ? 1 : n)) return p; throw std::bad_alloc(); } @@ -42,13 +48,15 @@ void operator delete[](void* p, std::size_t) noexcept { std::free(p); } using namespace netgraph::core; using namespace netgraph::core::test; using detail::LedgerAccess; -using detail::PinnedFlow; -using detail::PinnedResult; namespace { -// Runs fn with the k-th allocation (from 0) failing; returns whether that failure happened. -bool fails_at(long k, const std::function& fn) { +// The shared comparators of fault_injection.hpp, beside this file's own overloads. +using test::expect_same; + +bool inject(long k, bool workers_only, const std::function& fn) { + t_test_thread = true; + g_workers_only = workers_only; g_countdown = k; bool failed = false; try { @@ -56,58 +64,22 @@ bool fails_at(long k, const std::function& fn) { } catch (const std::bad_alloc&) { failed = true; } - const bool reached = g_countdown < 0; + const bool reached = g_countdown.load() < 0; g_countdown = -1; - EXPECT_EQ(failed, reached) << "a std::bad_alloc was swallowed or replaced at allocation " << k; + g_workers_only = false; + EXPECT_EQ(failed, reached) << "a std::bad_alloc was swallowed or replaced at allocation " << k + << (workers_only ? " (worker threads)" : ""); return failed; } -struct Snapshot { - std::vector allocated; - std::vector residual; - std::vector records; - std::int64_t next_id {0}; - std::vector bound; - std::vector orphans; -}; - -// Records keep their local ids only: the reference sequence runs on another ledger (uid). -Snapshot snapshot(const FlowGraph& fg) { - Snapshot s {fg.allocated(), fg.residual(), fg.records(), LedgerAccess::next_flow_id(fg), - LedgerAccess::bound_owners(fg), LedgerAccess::orphan_owners(fg)}; - for (auto& r : s.records) { - EXPECT_EQ(r.flow_id.first, fg.uid()); - r.flow_id.first = 0; - } - return s; -} +} // namespace -bool same(const FlowRecord& a, const FlowRecord& b) { - return a.flow_id == b.flow_id && a.owner == b.owner && a.sources == b.sources && a.destinations == b.destinations && - a.placement == b.placement && a.admission == b.admission && a.bundle && b.bundle && *a.bundle == *b.bundle && - a.route_cost == b.route_cost && a.offered == b.offered && a.delivered == b.delivered && a.edges == b.edges && - a.drops == b.drops; -} +// Runs fn with the k-th allocation (from 0) failing; returns whether that failure happened. +bool fails_at(long k, const std::function& fn) { return inject(k, false, fn); } -void expect_same(const Snapshot& a, const Snapshot& b, const std::string& where) { - EXPECT_EQ(a.allocated, b.allocated) << where; - EXPECT_EQ(a.residual, b.residual) << where; - EXPECT_EQ(a.next_id, b.next_id) << where; - EXPECT_EQ(a.bound, b.bound) << where; - EXPECT_EQ(a.orphans, b.orphans) << where; - ASSERT_EQ(a.records.size(), b.records.size()) << where; - for (std::size_t i = 0; i < a.records.size(); ++i) EXPECT_TRUE(same(a.records[i], b.records[i])) << where << " record " << i; -} +bool fails_in_workers_at(long k, const std::function& fn) { return inject(k, true, fn); } -// The ledger invariant: the aggregate is the sum of the records, within [0, baseline]. -void expect_balanced(const FlowGraph& fg, const std::string& where) { - std::vector sum(fg.allocated().size(), 0); - for (const auto& r : fg.records()) { - for (const auto& [e, x] : r.edges) sum[static_cast(e)] += x; - } - EXPECT_EQ(sum, fg.allocated()) << where; - for (Amount x : fg.residual()) EXPECT_GE(x, 0) << where; -} +namespace { struct Epoch { Counter128 requested; @@ -117,7 +89,7 @@ struct Epoch { Amount placed {0}; }; -Epoch epoch(const PinnedFlow& p) { +Epoch epoch(const PinnedOne& p) { auto id = p.flow_id(); if (id.has_value()) id->first = 0; return {p.requested(), p.infinite(), id, p.plan() != nullptr, p.placed_demand()}; @@ -131,15 +103,6 @@ void expect_same(const Epoch& a, const Epoch& b, const std::string& where) { EXPECT_EQ(a.placed, b.placed) << where; } -void expect_same(const PinnedResult& a, const PinnedResult& b, const std::string& where) { - EXPECT_EQ(a.placed, b.placed) << where; - EXPECT_EQ(a.remaining, b.remaining) << where; - EXPECT_EQ(a.termination, b.termination) << where; - EXPECT_EQ(a.routes_changed, b.routes_changed) << where; - EXPECT_EQ(a.drops, b.drops) << where; - EXPECT_EQ(a.iterations, b.iterations) << where; -} - struct Kernel { FlowPlacement placement; Admission admission; @@ -160,13 +123,13 @@ const std::vector& kernels() { struct Case { std::string name; - std::shared_ptr g; + std::shared_ptr g; NodeId src; NodeId dst; }; std::vector cases() { - auto shared = [](StrictMultiDiGraph g) { return std::make_shared(std::move(g)); }; + auto shared = [](Graph g) { return std::make_shared(std::move(g)); }; return { {"edge", shared(make_graph(2, {{0, 1, 9, 1}})), 0, 1}, {"chain", shared(make_graph(3, {{0, 1, 9, 1}, {1, 2, 9, 1}})), 0, 2}, @@ -177,10 +140,10 @@ std::vector cases() { }; } -std::shared_ptr all_edges(const StrictMultiDiGraph& g) { +std::shared_ptr all_edges(const Graph& g) { std::vector e(static_cast(g.num_edges())); for (std::size_t i = 0; i < e.size(); ++i) e[i] = static_cast(i); - return std::make_shared(detail::PredDAGBuilder::from_edges(g, e)); + return std::make_shared(detail::PredDAGBuilder::of_edges(g, e)); } // One scenario: a third party holding 1 unit on every edge, then the policy's earlier calls, @@ -214,48 +177,48 @@ TEST(LedgerFaults, EveryAllocationOfAPlacementFailsAtomically) { std::to_string(static_cast(k.admission)) + "/" + std::to_string(static_cast(k.priority)) + " " + sc.name; // The reference: the same sequence without a failure. - FlowGraph ref(c.g); - PinnedFlow third_ref(ref, c.src, c.dst, dag, FlowPlacement::EqualBalanced, Admission::Lossless, + FlowLedger ref(c.g); + PinnedOne third_ref(ref, c.src, c.dst, dag, FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); (void)third_ref.place(1); - PinnedFlow pref(ref, c.src, c.dst, dag, k.placement, k.admission, k.priority); + PinnedOne pref(ref, c.src, c.dst, dag, k.placement, k.admission, k.priority); for (auto v : sc.before) (void)pref.place(v); - const Snapshot initial = snapshot(ref); - const PinnedResult want = pref.place(sc.call); - const Snapshot after = snapshot(ref); + const LedgerState initial = ledger_state(ref); + const PlacementResult want = pref.place(sc.call); + const LedgerState after = ledger_state(ref); const Epoch want_epoch = epoch(pref); pref.remove(); - const Snapshot removed = snapshot(ref); + const LedgerState removed = ledger_state(ref); ++sweeps; for (long at = 0;; ++at) { const std::string w = where + " allocation " + std::to_string(at); - FlowGraph fg(c.g); - PinnedFlow third(fg, c.src, c.dst, dag, FlowPlacement::EqualBalanced, Admission::Lossless, + FlowLedger fg(c.g); + PinnedOne third(fg, c.src, c.dst, dag, FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); (void)third.place(1); - PinnedFlow p(fg, c.src, c.dst, dag, k.placement, k.admission, k.priority); + PinnedOne p(fg, c.src, c.dst, dag, k.placement, k.admission, k.priority); for (auto v : sc.before) (void)p.place(v); - const Snapshot before = snapshot(fg); + const LedgerState before = ledger_state(fg); const Epoch before_epoch = epoch(p); expect_same(before, initial, w + " (setup)"); - PinnedResult got; + PlacementResult got; if (!fails_at(at, [&] { got = p.place(sc.call); })) { expect_same(got, want, w + " (no failure)"); - expect_same(snapshot(fg), after, w + " (no failure)"); + expect_same(ledger_state(fg), after, w + " (no failure)"); break; } ++injected; // Failed: nothing changed, ledger and policy. - expect_same(snapshot(fg), before, w + " (failed call)"); + expect_same(ledger_state(fg), before, w + " (failed call)"); expect_same(epoch(p), before_epoch, w + " (failed call)"); expect_balanced(fg, w + " (failed call)"); // A clean retry is the reference call (no poisoned per-thread scratch). expect_same(p.place(sc.call), want, w + " (retry)"); - expect_same(snapshot(fg), after, w + " (retry)"); + expect_same(ledger_state(fg), after, w + " (retry)"); expect_same(epoch(p), want_epoch, w + " (retry)"); expect_balanced(fg, w + " (retry)"); p.remove(); - expect_same(snapshot(fg), removed, w + " (remove)"); + expect_same(ledger_state(fg), removed, w + " (remove)"); if (::testing::Test::HasFailure()) return; } } @@ -270,19 +233,19 @@ TEST(LedgerFaults, PolicyConstructionFailsWithoutBinding) { const auto dag = all_edges(*c.g); for (const auto& k : kernels()) { for (long at = 0;; ++at) { - FlowGraph fg(c.g); + FlowLedger fg(c.g); { - PinnedFlow other(fg, c.src, c.dst, dag, FlowPlacement::EqualBalanced, Admission::Lossless, + PinnedOne other(fg, c.src, c.dst, dag, FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); (void)other.place(1); } // an orphan - const Snapshot before = snapshot(fg); - std::optional p; + const LedgerState before = ledger_state(fg); + std::optional p; if (!fails_at(at, [&] { p.emplace(fg, c.src, c.dst, dag, k.placement, k.admission, k.priority); })) { EXPECT_EQ(LedgerAccess::bound_owners(fg).size(), 1U); break; } - expect_same(snapshot(fg), before, c.name + " construction allocation " + std::to_string(at)); + expect_same(ledger_state(fg), before, c.name + " construction allocation " + std::to_string(at)); EXPECT_FALSE(p.has_value()); } } @@ -298,10 +261,10 @@ TEST(LedgerFaults, ScratchGrowthFailureLeavesNothingHalfGrown) { std::int32_t n = 200; // Construction (the route plan's per-node scratch): one edge between the last two nodes. for (long at = 0;; ++at, n += 150) { - auto g = std::make_shared(make_graph(n, {{n - 2, n - 1, 3, 1}})); + auto g = std::make_shared(make_graph(n, {{n - 2, n - 1, 3, 1}})); const auto dag = all_edges(*g); - FlowGraph fg(g); - std::optional p; + FlowLedger fg(g); + std::optional p; const bool failed = fails_at(at, [&] { p.emplace(fg, n - 2, n - 1, dag, FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); }); @@ -321,16 +284,16 @@ TEST(LedgerFaults, ScratchGrowthFailureLeavesNothingHalfGrown) { for (long at = 0;; ++at, n += 150) { std::vector chain; for (NodeId v = 0; v + 1 < n; ++v) chain.push_back({v, v + 1, 5, 1}); - auto g = std::make_shared(make_graph(n, chain)); + auto g = std::make_shared(make_graph(n, chain)); const auto dag = all_edges(*g); - FlowGraph fg(g); - PinnedFlow p(fg, 0, n - 1, dag, FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); - const Snapshot before = snapshot(fg); - PinnedResult got; + FlowLedger fg(g); + PinnedOne p(fg, 0, n - 1, dag, FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); + const LedgerState before = ledger_state(fg); + PlacementResult got; const bool failed = fails_at(at, [&] { got = p.place(2); }); if (failed) { ++failures; - expect_same(snapshot(fg), before, "placement allocation " + std::to_string(at)); + expect_same(ledger_state(fg), before, "placement allocation " + std::to_string(at)); got = p.place(2); } EXPECT_EQ(got.placed, 2) << "placement allocation " << at; @@ -344,42 +307,39 @@ TEST(LedgerFaults, ScratchGrowthFailureLeavesNothingHalfGrown) { } // The bimodality guard (NOTES "Bimodality"): NodeMap::add runs once per edge endpoint in the -// flow core's subset solve and in the plan builder. It must stay allocation-free (reset() sizes -// both arrays) so that it stays a few inlined instructions: the push_back version was an -// out-of-line call whose register save/restore stalled in some process layouts. +// flow core's subset solve. It must stay allocation-free (reset() sizes both arrays) so that it +// stays a few inlined instructions: the push_back version was an out-of-line call whose register +// save/restore stalled in some process layouts. static_assert(noexcept(std::declval().add(NodeId {0}))); TEST(LedgerFaults, NodeMapAddNeverAllocates) { auto& node_map = detail::NodeMap::local(); - // Called through a member pointer: the inventory scanner attributes this member call on a - // receiver it does not list to a deleted 1a owner of the same member name. - constexpr auto reset = &detail::NodeMap::reset; for (std::size_t n : {std::size_t {10}, std::size_t {5000}, std::size_t {300}}) { - std::invoke(reset, node_map, n); + node_map.reset(n); EXPECT_FALSE(fails_at(0, [&] { for (std::size_t v = n; v-- > 0;) (void)node_map.add(static_cast(v)); for (std::size_t v = 0; v < n; ++v) (void)node_map.add(static_cast(v)); })); ASSERT_EQ(node_map.size(), n); EXPECT_EQ(node_map.of(static_cast(n - 1)), 0); // first-touch order - EXPECT_EQ(node_map.nodes()[0], static_cast(n - 1)); + EXPECT_EQ(node_map.of(0), static_cast(n - 1)); } - std::invoke(reset, node_map, std::size_t {0}); + node_map.reset(0); } TEST(LedgerFaults, RemovalAndReleaseNeverAllocate) { for (const auto& c : cases()) { const auto dag = all_edges(*c.g); for (const auto& k : kernels()) { - FlowGraph fg(c.g); - auto p = std::make_unique(fg, c.src, c.dst, dag, k.placement, k.admission, k.priority); + FlowLedger fg(c.g); + auto p = std::make_unique(fg, c.src, c.dst, dag, k.placement, k.admission, k.priority); (void)p->place(3); - // remove() and the destructor's release() make no allocation (release() is noexcept). + // remove() and the destructor (the records become orphans) make no allocation. EXPECT_FALSE(fails_at(0, [&] { p->remove(); })); (void)p->place(2); - const Snapshot held = snapshot(fg); + const LedgerState held = ledger_state(fg); EXPECT_FALSE(fails_at(0, [&] { p.reset(); })); - const Snapshot orphaned = snapshot(fg); + const LedgerState orphaned = ledger_state(fg); EXPECT_EQ(orphaned.allocated, held.allocated); EXPECT_TRUE(orphaned.bound.empty()); EXPECT_EQ(orphaned.orphans.size(), 1U); diff --git a/tests/cpp/flow_graph_tests.cpp b/tests/cpp/flow_ledger_tests.cpp similarity index 75% rename from tests/cpp/flow_graph_tests.cpp rename to tests/cpp/flow_ledger_tests.cpp index 6107b24..6115b2a 100644 --- a/tests/cpp/flow_graph_tests.cpp +++ b/tests/cpp/flow_ledger_tests.cpp @@ -1,6 +1,6 @@ -// The integer ledger FlowGraph (APPROACH 8): the baseline, snapshots, FlowIds, bottleneck, and -// every row and transition of the lifetime table, driven through the internal entry points by -// the single-bundle Pinned transaction of sub-PR 1b (detail::PinnedFlow). +// The integer ledger FlowLedger (APPROACH 8): the baseline, snapshots, FlowIds, bottleneck, and +// every row and transition of the lifetime table, driven through a FlowPolicy with Pinned +// routing and one bundle (test::PinnedOne, pinned_one.hpp). // // | State | place | remove() | destroyed | reset | copy | // | bound, no flows | place(0) no-op; positive | resets the epoch | none | rejected | rejected | @@ -9,38 +9,41 @@ // | orphaned records | n/a | n/a | n/a | clears | copied | #include +#include #include +#include #include #include #include #include #include #include +#include #include +#include "netgraph/core/detail/int128.hpp" #include "netgraph/core/detail/ledger_access.hpp" -#include "netgraph/core/detail/pinned_flow.hpp" #include "netgraph/core/detail/pred_dag_builder.hpp" -#include "netgraph/core/flow_graph.hpp" +#include "netgraph/core/flow_ledger.hpp" +#include "pinned_one.hpp" #include "test_utils.hpp" using namespace netgraph::core; using namespace netgraph::core::test; using detail::LedgerAccess; -using detail::PinnedFlow; -using detail::Termination; +using netgraph::core::Termination; namespace { -std::shared_ptr shared(StrictMultiDiGraph g) { - return std::make_shared(std::move(g)); +std::shared_ptr shared(Graph g) { + return std::make_shared(std::move(g)); } -std::shared_ptr bundle(const StrictMultiDiGraph& g, std::vector edges) { - return std::make_shared(detail::PredDAGBuilder::from_edges(g, edges)); +std::shared_ptr bundle(const Graph& g, std::vector edges) { + return std::make_shared(detail::PredDAGBuilder::of_edges(g, edges)); } -std::shared_ptr all_edges(const StrictMultiDiGraph& g) { +std::shared_ptr all_edges(const Graph& g) { std::vector e(static_cast(g.num_edges())); for (std::size_t i = 0; i < e.size(); ++i) e[i] = static_cast(i); return bundle(g, e); @@ -55,30 +58,30 @@ std::string error_of(const std::function& fn) { return ""; } -std::vector alloc_in(const FlowGraph& fg) { return to_input(*fg.graph(), fg.allocated()); } +std::vector alloc_in(const FlowLedger& fg) { return to_input(*fg.graph(), fg.allocated()); } } // namespace -TEST(FlowGraph, BaselineValidationAndSnapshots) { +TEST(FlowLedger, BaselineValidationAndSnapshots) { auto g = shared(make_graph(2, {{0, 1, 5, 1}})); - EXPECT_THROW(FlowGraph(g, std::vector {6}), std::invalid_argument); - EXPECT_THROW(FlowGraph(g, std::vector {-1}), std::invalid_argument); - EXPECT_THROW(FlowGraph(g, std::vector {1, 1}), std::invalid_argument); - EXPECT_THROW(FlowGraph(nullptr), std::invalid_argument); - FlowGraph fg(g, std::vector {3}); + EXPECT_THROW(FlowLedger(g, std::vector {6}), std::invalid_argument); + EXPECT_THROW(FlowLedger(g, std::vector {-1}), std::invalid_argument); + EXPECT_THROW(FlowLedger(g, std::vector {1, 1}), std::invalid_argument); + EXPECT_THROW(FlowLedger(nullptr), std::invalid_argument); + FlowLedger fg(g, std::vector {3}); EXPECT_EQ(fg.residual(), (std::vector{3})); EXPECT_EQ(fg.allocated(), (std::vector{0})); EXPECT_EQ(std::vector(fg.capacity_units().begin(), fg.capacity_units().end()), (std::vector{5})); EXPECT_TRUE(fg.records().empty()); EXPECT_EQ(fg.graph().get(), g.get()); - FlowGraph other(g); + FlowLedger other(g); EXPECT_NE(fg.uid(), other.uid()); } -TEST(FlowGraph, BoundNoFlowsRow) { +TEST(FlowLedger, BoundNoFlowsRow) { auto g = shared(make_graph(2, {{0, 1, 5, 1}})); - FlowGraph fg(g); - PinnedFlow p(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); + FlowLedger fg(g); + PinnedOne p(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); // place(0): a no-op that creates nothing. auto r = p.place(0); EXPECT_EQ(r.termination, Termination::Complete); @@ -87,8 +90,8 @@ TEST(FlowGraph, BoundNoFlowsRow) { EXPECT_EQ(LedgerAccess::next_flow_id(fg), 0); // reset and copy rejected while a policy is bound; move rejected too. EXPECT_NE(error_of([&] { fg.reset(); }).find("bound"), std::string::npos); - EXPECT_THROW(FlowGraph copy(fg), std::invalid_argument); - EXPECT_THROW(FlowGraph moved(std::move(fg)), std::invalid_argument); + EXPECT_THROW(FlowLedger copy(fg), std::invalid_argument); + EXPECT_THROW(FlowLedger moved(std::move(fg)), std::invalid_argument); // remove() with no flows: no allocation to revert; the epoch state resets. p.remove(); EXPECT_TRUE(fg.records().empty()); @@ -102,12 +105,12 @@ TEST(FlowGraph, BoundNoFlowsRow) { EXPECT_EQ(p.flow_id()->second, 0); } -TEST(FlowGraph, NoRouteCreatesNothing) { +TEST(FlowLedger, NoRouteCreatesNothing) { // A bundle whose only walk is excluded by the Eligibility: usable_bundles() == 0. auto g = shared(make_graph(2, {{0, 1, 5, 1}})); - FlowGraph fg(g); + FlowLedger fg(g); auto el = std::make_shared(g->eligibility({}, std::vector {0})); - PinnedFlow p(fg, 0, 1, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual, el); + PinnedOne p(fg, 0, 1, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual, el); EXPECT_EQ(p.usable_bundles(), 0); auto r = p.place(3); EXPECT_EQ(r.termination, Termination::NoRoute); @@ -119,18 +122,18 @@ TEST(FlowGraph, NoRouteCreatesNothing) { EXPECT_EQ(LedgerAccess::next_flow_id(fg), 0); // A bundle without any walk before pruning is malformed. auto g2 = shared(make_graph(3, {{0, 1, 5, 1}, {2, 1, 5, 1}})); - FlowGraph fg2(g2); + FlowLedger fg2(g2); EXPECT_NE(error_of([&] { - PinnedFlow bad(fg2, 0, 2, all_edges(*g2), FlowPlacement::MaxFlow, Admission::Lossless, + PinnedOne bad(fg2, 0, 2, all_edges(*g2), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); }).find("malformed bundle"), std::string::npos); } -TEST(FlowGraph, BoundWithFlowsRowAndEpochs) { +TEST(FlowLedger, BoundWithFlowsRowAndEpochs) { auto g = shared(make_graph(2, {{0, 1, 5, 1}})); - FlowGraph fg(g); - PinnedFlow p(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); + FlowLedger fg(g); + PinnedOne p(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); EXPECT_EQ(p.place(2).placed, 2); // Adds: T grows within the epoch. auto r = p.place(std::nullopt); @@ -144,7 +147,7 @@ TEST(FlowGraph, BoundWithFlowsRowAndEpochs) { EXPECT_NE(error_of([&] { (void)p.place(0); }).find("after +inf"), std::string::npos); EXPECT_EQ(alloc_in(fg), (std::vector{5})); EXPECT_NE(error_of([&] { fg.reset(); }).find("bound"), std::string::npos); - EXPECT_THROW(FlowGraph copy(fg), std::invalid_argument); + EXPECT_THROW(FlowLedger copy(fg), std::invalid_argument); // remove(): allocations reverted, record gone, id retired. const auto old = *p.flow_id(); p.remove(); @@ -163,13 +166,13 @@ TEST(FlowGraph, BoundWithFlowsRowAndEpochs) { EXPECT_EQ(LedgerAccess::next_flow_id(fg), 2); } -TEST(FlowGraph, OrphanedRecordsResetAndCopy) { +TEST(FlowLedger, OrphanedRecordsResetAndCopy) { auto g = shared(make_graph(2, {{0, 1, 5, 1}})); - FlowGraph fg(g); - auto p = std::make_unique(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, + FlowLedger fg(g); + auto p = std::make_unique(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); { - PinnedFlow q(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); + PinnedOne q(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); EXPECT_EQ(q.place(2).placed, 2); } // destroyed without remove(): the record stays as an orphan ASSERT_EQ(fg.records().size(), 1u); @@ -182,7 +185,7 @@ TEST(FlowGraph, OrphanedRecordsResetAndCopy) { p->remove(); p.reset(); // destroyed: nothing bound // Copy of an unbound ledger: new uid, same ids under the new uid. - FlowGraph c(fg); + FlowLedger c(fg); EXPECT_NE(c.uid(), fg.uid()); ASSERT_EQ(c.records().size(), 1u); EXPECT_EQ(c.records()[0].flow_id, (FlowId {c.uid(), 0})); @@ -194,17 +197,17 @@ TEST(FlowGraph, OrphanedRecordsResetAndCopy) { EXPECT_EQ(fg.residual(), (std::vector{4})); EXPECT_TRUE(LedgerAccess::orphan_owners(fg).empty()); EXPECT_EQ(LedgerAccess::next_flow_id(fg), 2); - PinnedFlow r(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); + PinnedOne r(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); EXPECT_EQ(r.place(9).placed, 4); EXPECT_EQ(r.flow_id()->second, 2); // The copy is independent of the original. EXPECT_EQ(c.records()[0].delivered, 2); } -TEST(FlowGraph, MovedFromLedgerIsUnusable) { +TEST(FlowLedger, MovedFromLedgerIsUnusable) { auto g = shared(make_graph(2, {{0, 1, 5, 1}})); - FlowGraph fg(g); - FlowGraph moved(std::move(fg)); + FlowLedger fg(g); + FlowLedger moved(std::move(fg)); EXPECT_THROW((void)fg.uid(), std::logic_error); EXPECT_THROW((void)fg.records(), std::logic_error); EXPECT_THROW((void)fg.residual(), std::logic_error); @@ -213,10 +216,10 @@ TEST(FlowGraph, MovedFromLedgerIsUnusable) { EXPECT_EQ(moved.residual(), (std::vector{5})); } -TEST(FlowGraph, FlowIdsOfOtherLedgersAndUnknownIds) { +TEST(FlowLedger, FlowIdsOfOtherLedgersAndUnknownIds) { auto g = shared(make_graph(2, {{0, 1, 5, 1}})); - FlowGraph a(g), b(g); - PinnedFlow p(a, 0, 1, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + FlowLedger a(g), b(g); + PinnedOne p(a, 0, 1, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); (void)p.place(1); const auto id = *p.flow_id(); EXPECT_EQ(a.record(id).delivered, 1); @@ -224,12 +227,12 @@ TEST(FlowGraph, FlowIdsOfOtherLedgersAndUnknownIds) { EXPECT_NE(error_of([&] { (void)a.record(FlowId {a.uid(), 7}); }).find("retired or unknown"), std::string::npos); } -TEST(FlowGraph, RecordsCarryTheContractFields) { +TEST(FlowLedger, RecordsCarryTheContractFields) { // Lossy EqualBalanced on the diamond 10/10/1/10 (prototype 1 lossy_diamond): 10 then 1. auto g = shared(make_graph(4, {{0, 1, 10, 1}, {0, 2, 10, 1}, {1, 3, 1, 1}, {2, 3, 10, 1}})); const auto inv = id_of_input(*g); - FlowGraph fg(g); - PinnedFlow p(fg, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy, EdgePriority::Residual); + FlowLedger fg(g); + PinnedOne p(fg, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy, EdgePriority::Residual); auto r = p.place(10); EXPECT_EQ(r.placed, 6); EXPECT_EQ(r.termination, Termination::Complete); @@ -247,7 +250,8 @@ TEST(FlowGraph, RecordsCarryTheContractFields) { EXPECT_EQ(rec.placement, FlowPlacement::EqualBalanced); EXPECT_EQ(rec.admission, Admission::Lossy); ASSERT_TRUE(rec.bundle); - EXPECT_EQ(rec.bundle->edges(), (std::vector{0, 1, 2, 3})); + EXPECT_EQ(rec.bundle->via_edges().size(), 4u); + EXPECT_TRUE(*rec.bundle == *all_edges(*g)); EXPECT_EQ(rec.route_cost, 2); ASSERT_TRUE(rec.offered.has_value()); EXPECT_EQ(rec.offered->lo, 11u); @@ -256,26 +260,26 @@ TEST(FlowGraph, RecordsCarryTheContractFields) { EXPECT_EQ(rec.drops[0].first, inv[2]); EXPECT_EQ(rec.drops[0].second.lo, 5u); // +inf on a fresh ledger: offered is the injection (20), delivered 11, drops 9. - FlowGraph f2(g); - PinnedFlow q(f2, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy, EdgePriority::Residual); + FlowLedger f2(g); + PinnedOne q(f2, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy, EdgePriority::Residual); r = q.place(std::nullopt); EXPECT_EQ(r.placed, 11); EXPECT_EQ(r.termination, Termination::Exhausted); EXPECT_EQ(f2.records()[0].offered->lo, 20u); // Lossless records carry no offered. - FlowGraph f3(g); - PinnedFlow m(f3, 0, 3, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + FlowLedger f3(g); + PinnedOne m(f3, 0, 3, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); (void)m.place(3); EXPECT_FALSE(f3.records()[0].offered.has_value()); EXPECT_TRUE(f3.records()[0].drops.empty()); } -TEST(FlowGraph, CountersBeyondSixtyFourBits) { +TEST(FlowLedger, CountersBeyondSixtyFourBits) { // Prototype 1 lossy_oversized_and_saturated_offers: every unit of a 2^62 - 1 offer dropped on // a saturated link, many times: offered and drops grow beyond 2^64. auto g = shared(make_graph(2, {{0, 1, 1, 1}})); - FlowGraph fg(g); - PinnedFlow p(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy, EdgePriority::Residual); + FlowLedger fg(g); + PinnedOne p(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy, EdgePriority::Residual); const Amount big = kDomainLimit - 1; for (int i = 0; i < 9; ++i) (void)p.place(big); const auto rec = fg.records().at(0); @@ -288,10 +292,45 @@ TEST(FlowGraph, CountersBeyondSixtyFourBits) { EXPECT_EQ(p.requested().hi, 2u); } -TEST(FlowGraph, RequestDomainAndFailedCallsLeaveState) { +// The public counter is self-contained (flow_record.hpp): its own hi and lo, no base class from +// the private arithmetic, the same carry and the same failure at 2^127, which changes nothing. +static_assert(std::is_aggregate_v && std::is_trivially_copyable_v); +static_assert(std::is_standard_layout_v && sizeof(Counter128) == 2 * sizeof(std::uint64_t)); +static_assert(!std::is_base_of_v && + !std::is_convertible_v); + +TEST(FlowLedger, Counter128CarriesAndFailsAt2To127) { + const std::uint64_t max64 = std::numeric_limits::max(); + Counter128 c; + EXPECT_TRUE(c.is_zero()); + EXPECT_EQ(c, Counter128 {}); + // A carry from lo into hi. + c.lo = max64 - 2; + EXPECT_TRUE(c.add(5)); + EXPECT_EQ(c.hi, 1u); + EXPECT_EQ(c.lo, 2u); + EXPECT_FALSE(c.is_zero()); + EXPECT_EQ(c, (Counter128 {1, 2})); + EXPECT_NE(c, (Counter128 {0, 2})); + EXPECT_NE(c, (Counter128 {1, 3})); + // 2^127 - 1 is the largest value; adding 0 keeps it, any positive amount fails unchanged, + // also through the carry. + Counter128 top {(std::uint64_t {1} << 63) - 1, max64}; + EXPECT_TRUE(top.add(0)); + EXPECT_FALSE(top.add(1)); + EXPECT_EQ(top, (Counter128 {(std::uint64_t {1} << 63) - 1, max64})); + Counter128 near {(std::uint64_t {1} << 63) - 1, max64 - 4}; + EXPECT_TRUE(near.add(4)); + EXPECT_EQ(near, top); + Counter128 below {(std::uint64_t {1} << 63) - 1, max64 - 4}; + EXPECT_FALSE(below.add(kDomainLimit - 1)); + EXPECT_EQ(below, (Counter128 {(std::uint64_t {1} << 63) - 1, max64 - 4})); +} + +TEST(FlowLedger, RequestDomainAndFailedCallsLeaveState) { auto g = shared(make_graph(2, {{0, 1, 5, 1}})); - FlowGraph fg(g); - PinnedFlow p(fg, 0, 1, all_edges(*g), FlowPlacement::Weighted, Admission::Lossless, EdgePriority::Capacity); + FlowLedger fg(g); + PinnedOne p(fg, 0, 1, all_edges(*g), FlowPlacement::Weighted, Admission::Lossless, EdgePriority::Capacity); (void)p.place(2); const auto before = fg.records(); EXPECT_THROW((void)p.place(kDomainLimit), std::invalid_argument); @@ -301,34 +340,34 @@ TEST(FlowGraph, RequestDomainAndFailedCallsLeaveState) { // Constructor validation. auto other = make_graph(2, {{0, 1, 5, 1}}); EXPECT_NE(error_of([&] { - PinnedFlow x(fg, 0, 1, bundle(other, {0}), FlowPlacement::MaxFlow, Admission::Lossless, + PinnedOne x(fg, 0, 1, bundle(other, {0}), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); }).find("foreign PredDAG"), std::string::npos); EXPECT_NE(error_of([&] { - PinnedFlow x(fg, 0, 0, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + PinnedOne x(fg, 0, 0, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); }).find("both endpoint sets"), std::string::npos); EXPECT_NE(error_of([&] { - PinnedFlow x(fg, 0, 1, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossy, EdgePriority::Residual); + PinnedOne x(fg, 0, 1, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossy, EdgePriority::Residual); }).find("Lossy"), std::string::npos); EXPECT_NE(error_of([&] { - PinnedFlow x(fg, 0, 1, all_edges(*g), FlowPlacement::Weighted, Admission::Lossless, EdgePriority::Headroom); + PinnedOne x(fg, 0, 1, all_edges(*g), FlowPlacement::Weighted, Admission::Lossless, EdgePriority::Headroom); }).find("Headroom"), std::string::npos); // A rejected construction binds nothing. EXPECT_EQ(LedgerAccess::bound_owners(fg), (std::vector{0})); } -TEST(FlowGraph, BottleneckVersusMinCut) { +TEST(FlowLedger, BottleneckVersusMinCut) { // Prototype 1 ledger_bottleneck_vs_min_cut: (0->1 cap 1 cost 1), (0->2 cap 2 cost 3), // (1->2 cap 1), (2->3 cap 2). After the MaxFlow +inf [1, 1, 1, 2] the bottleneck (forward // residual) is {0->1, 2->3}, not the cut {2->3}. auto g = shared(make_graph(4, {{0, 1, 1, 1}, {0, 2, 2, 3}, {1, 2, 1, 1}, {2, 3, 2, 1}})); const auto inv = id_of_input(*g); - FlowGraph fg(g); - PinnedFlow p(fg, 0, 3, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + FlowLedger fg(g); + PinnedOne p(fg, 0, 3, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); EXPECT_EQ(p.place(std::nullopt).placed, 2); EXPECT_EQ(alloc_in(fg), (std::vector{1, 1, 1, 2})); std::vector want = {inv[0], inv[3]}; @@ -336,7 +375,7 @@ TEST(FlowGraph, BottleneckVersusMinCut) { EXPECT_EQ(fg.bottleneck(std::vector {0}), want); // A zero-capacity edge at the frontier is not listed; an excluded edge is not crossed. auto g2 = shared(make_graph(3, {{0, 1, 0, 1}, {0, 2, 1, 1}, {2, 1, 1, 1}})); - FlowGraph f2(g2); + FlowLedger f2(g2); EXPECT_TRUE(f2.bottleneck(std::vector {0}).empty()); const auto inv2 = id_of_input(*g2); auto el = g2->eligibility({}, std::vector {inv2[2]}); @@ -351,17 +390,17 @@ TEST(FlowGraph, BottleneckVersusMinCut) { EXPECT_THROW((void)f2.bottleneck(std::vector {}), std::invalid_argument); } -TEST(FlowGraph, TwoOwnersNeverCancelEachOther) { +TEST(FlowLedger, TwoOwnersNeverCancelEachOther) { // Prototype 1 maxflow_two_owner_no_cross_cancellation: A holds the chain 0-1-2-3; B's bundle // (chain plus bypasses) could reach 2 only by cancelling A's middle edge: B places 0 (record // at zero delivery, exhausted) and A is untouched; after A's remove() B places 2. auto g = shared(make_graph(4, {{0, 1, 1, 1}, {1, 2, 1, 1}, {2, 3, 1, 1}, {0, 2, 1, 3}, {1, 3, 1, 3}})); const auto inv = id_of_input(*g); - FlowGraph fg(g); - PinnedFlow a(fg, 0, 3, bundle(*g, {inv[0], inv[1], inv[2]}), FlowPlacement::MaxFlow, Admission::Lossless, + FlowLedger fg(g); + PinnedOne a(fg, 0, 3, bundle(*g, {inv[0], inv[1], inv[2]}), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); EXPECT_EQ(a.place(1).placed, 1); - PinnedFlow b(fg, 0, 3, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + PinnedOne b(fg, 0, 3, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); auto r = b.place(2); EXPECT_EQ(r.placed, 0); EXPECT_TRUE(r.routes_changed); @@ -374,7 +413,7 @@ TEST(FlowGraph, TwoOwnersNeverCancelEachOther) { EXPECT_EQ(alloc_in(fg), (std::vector{1, 0, 1, 1, 1})); } -TEST(FlowGraph, AggregatesEqualTheSumOfRecords) { +TEST(FlowLedger, AggregatesEqualTheSumOfRecords) { // Random sequences of placements, removals and destructions on one ledger: allocated() is the // exact sum of the records' edges and residual() = baseline - allocated() within [0, baseline]. std::mt19937 rng(5); @@ -387,14 +426,14 @@ TEST(FlowGraph, AggregatesEqualTheSumOfRecords) { edges.push_back({u, v, static_cast(rng() % 7), 1 + static_cast(rng() % 3)}); } auto g = shared(make_graph(n, edges)); - FlowGraph fg(g); - std::vector> pols; + FlowLedger fg(g); + std::vector> pols; const FlowPlacement kinds[3] = {FlowPlacement::MaxFlow, FlowPlacement::Weighted, FlowPlacement::EqualBalanced}; for (int k = 0; k < 4; ++k) { const auto kind = kinds[rng() % 3]; const auto adm = kind != FlowPlacement::MaxFlow && rng() % 3 == 0 ? Admission::Lossy : Admission::Lossless; try { - pols.push_back(std::make_unique(fg, 0, n - 1, all_edges(*g), kind, adm, EdgePriority::Capacity)); + pols.push_back(std::make_unique(fg, 0, n - 1, all_edges(*g), kind, adm, EdgePriority::Capacity)); } catch (const std::invalid_argument&) { break; // no walk at all } @@ -424,14 +463,14 @@ TEST(FlowGraph, AggregatesEqualTheSumOfRecords) { } } -TEST(FlowGraph, NoRouteCallsRecordTheEpochState) { +TEST(FlowLedger, NoRouteCallsRecordTheEpochState) { // A positive request with no usable bundle creates nothing, but the epoch records it: after // +inf a finite request (place(0) included) is rejected until remove() (APPROACH 8, 9.2; // prototype 2's reading; prototype 1 kept no state on such a call). auto g = shared(make_graph(2, {{0, 1, 5, 1}})); - FlowGraph fg(g); + FlowLedger fg(g); auto el = std::make_shared(g->eligibility({}, std::vector {0})); - PinnedFlow p(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual, + PinnedOne p(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual, el); EXPECT_EQ(p.place(3).termination, Termination::NoRoute); EXPECT_EQ(p.requested().lo, 3u); @@ -448,14 +487,14 @@ TEST(FlowGraph, NoRouteCallsRecordTheEpochState) { EXPECT_EQ(LedgerAccess::next_flow_id(fg), 0); } -TEST(FlowGraph, RouteCostIsTheBundlesMinimumWalk) { +TEST(FlowLedger, RouteCostIsTheBundlesMinimumWalk) { // Weighted Residual on a route whose only edge another owner fills: the split graph is // empty (record at zero delivery), route_cost is still the bundle's walk cost 3. auto g = shared(make_graph(2, {{0, 1, 2, 3}})); - FlowGraph fg(g); - PinnedFlow holder(fg, 0, 1, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + FlowLedger fg(g); + PinnedOne holder(fg, 0, 1, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); EXPECT_EQ(holder.place(2).placed, 2); - PinnedFlow w(fg, 0, 1, all_edges(*g), FlowPlacement::Weighted, Admission::Lossless, EdgePriority::Residual); + PinnedOne w(fg, 0, 1, all_edges(*g), FlowPlacement::Weighted, Admission::Lossless, EdgePriority::Residual); auto r = w.place(1); EXPECT_EQ(r.placed, 0); EXPECT_EQ(r.termination, Termination::Exhausted); @@ -467,19 +506,19 @@ TEST(FlowGraph, RouteCostIsTheBundlesMinimumWalk) { EXPECT_EQ(rec.delivered, 0); // A mixed-cost bundle: the cheapest walk (1 + 1 + 1) is the route cost, not the cost-4 edge. auto g2 = shared(make_graph(4, {{0, 1, 1, 1}, {1, 2, 1, 1}, {2, 3, 1, 1}, {0, 3, 1, 4}})); - FlowGraph f2(g2); - PinnedFlow m(f2, 0, 3, all_edges(*g2), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + FlowLedger f2(g2); + PinnedOne m(f2, 0, 3, all_edges(*g2), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); (void)m.place(1); EXPECT_EQ(f2.records()[0].route_cost, 3); } -TEST(FlowGraph, RemovalRestoresTheBaselineAndLeavesOtherOwnersIntact) { +TEST(FlowLedger, RemovalRestoresTheBaselineAndLeavesOtherOwnersIntact) { // review-2 R7: removing a flow restores the baseline residual (5 on a capacity-10 link), not // the capacity; review-check check_review6: another owner's allocation stays intact. auto g = shared(make_graph(2, {{0, 1, 10, 1}})); - FlowGraph fg(g, std::vector {5}); - PinnedFlow a(fg, 0, 1, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); - PinnedFlow b(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); + FlowLedger fg(g, std::vector {5}); + PinnedOne a(fg, 0, 1, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + PinnedOne b(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); EXPECT_EQ(a.place(3).placed, 3); EXPECT_EQ(b.place(1).placed, 1); EXPECT_EQ(fg.residual(), (std::vector{1})); @@ -489,16 +528,16 @@ TEST(FlowGraph, RemovalRestoresTheBaselineAndLeavesOtherOwnersIntact) { b.remove(); EXPECT_EQ(fg.residual(), (std::vector{5})); // A baseline one unit above the quantised capacity is rejected (no clamp at this boundary). - EXPECT_THROW(FlowGraph(g, std::vector {11}), std::invalid_argument); + EXPECT_THROW(FlowLedger(g, std::vector {11}), std::invalid_argument); } -TEST(FlowGraph, LossyOffersArePerCall) { +TEST(FlowLedger, LossyOffersArePerCall) { // review-13 lossy / rule 19: on the diamond, two calls of 1 offer each unit to the lowest // EdgeId first (both on the first branch) while one call of 2 splits [1, 1]: not additive. auto g = shared(make_graph(4, {{0, 1, 10, 1}, {0, 2, 10, 1}, {1, 3, 1, 1}, {2, 3, 10, 1}})); - FlowGraph f1(g), f2(g); - PinnedFlow p1(f1, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy, EdgePriority::Residual); - PinnedFlow p2(f2, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy, EdgePriority::Residual); + FlowLedger f1(g), f2(g); + PinnedOne p1(f1, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy, EdgePriority::Residual); + PinnedOne p2(f2, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy, EdgePriority::Residual); auto r = p1.place(1); EXPECT_EQ(r.placed, 1); r = p1.place(1); @@ -519,16 +558,17 @@ detail::Draft draft_on(const std::shared_ptr& dag, std::vector id = std::nullopt) { detail::Draft d; d.id = id; - d.sources = {0}; - d.destinations = {1}; - d.bundle = dag; - d.route_cost = 1; - for (const auto& [e, x] : edges) d.delivered += x; - d.edges = std::move(edges); + FlowRecord& r = d.record; + r.sources = {0}; + r.destinations = {1}; + r.bundle = dag; + r.route_cost = 1; + for (const auto& [e, x] : edges) r.delivered += x; + r.edges = std::move(edges); return d; } -Amount record_sum(const FlowGraph& fg, EdgeId e) { +Amount record_sum(const FlowLedger& fg, EdgeId e) { Amount sum = 0; for (const auto& r : fg.records()) { for (const auto& [f, x] : r.edges) { @@ -540,10 +580,10 @@ Amount record_sum(const FlowGraph& fg, EdgeId e) { } // namespace -TEST(FlowGraph, MultiRecordCommitsPublishEachEdgeOnce) { +TEST(FlowLedger, MultiRecordCommitsPublishEachEdgeOnce) { auto g = shared(make_graph(2, {{0, 1, 3, 1}})); const auto dag = all_edges(*g); - FlowGraph fg(g); + FlowLedger fg(g); const auto owner = LedgerAccess::bind(fg); std::vector first {draft_on(dag, {{0, 1}})}; const auto ids = LedgerAccess::commit(fg, owner, first); @@ -573,7 +613,7 @@ TEST(FlowGraph, MultiRecordCommitsPublishEachEdgeOnce) { LedgerAccess::release(fg, owner); } -TEST(FlowGraph, RandomMultiOwnerCommitsMatchAModel) { +TEST(FlowLedger, RandomMultiOwnerCommitsMatchAModel) { // Three owners on four edges; every commit carries all of its owner's records (each kept, // changed, emptied or moved) plus up to two new ones, so deltas cancel and reappear on shared // edges; detaches between commits. The ledger must equal an independent model after every call, @@ -582,7 +622,7 @@ TEST(FlowGraph, RandomMultiOwnerCommitsMatchAModel) { auto g = shared(make_graph(4, {{0, 1, 6, 1}, {1, 2, 4, 1}, {2, 3, 5, 1}, {0, 3, 3, 1}})); const auto dag = all_edges(*g); const auto m = static_cast(g->num_edges()); - FlowGraph fg(g); + FlowLedger fg(g); std::vector owners; for (int i = 0; i < 3; ++i) owners.push_back(LedgerAccess::bind(fg)); // The model: per owner, its live records (id -> per-edge amounts). diff --git a/tests/cpp/flow_policy_fault_tests.cpp b/tests/cpp/flow_policy_fault_tests.cpp new file mode 100644 index 0000000..abf64a8 --- /dev/null +++ b/tests/cpp/flow_policy_fault_tests.cpp @@ -0,0 +1,462 @@ +// Allocation-failure atomicity of the policy engine, the DagCache and the evaluators (APPROACH 8, +// 9.2, 10, 11, 13). Every path that grows a buffer or publishes state is swept over every +// allocation it makes: after each injected std::bad_alloc the ledger (aggregate, residual, every +// record field, owners, next FlowId) and the policy's epoch state (requested, +inf, cohorts with +// their ids and plans) equal their state before the call; a clean retry gives the reference +// result (no poisoned per-thread scratch); and remove() restores the ledger. A supplied building +// cache is a memo (APPROACH 13, limit 2): it may keep the complete entries of the lookups that +// succeeded before the failure, never a partial one. Runs in the fault-injection executable +// (fault_injection.hpp). +#include + +#include +#include +#include +#include +#include +#include +#include + +#include "fault_injection.hpp" +#include "netgraph/core/dag_cache.hpp" +#include "netgraph/core/detail/ledger_access.hpp" +#include "netgraph/core/detail/policy_engine.hpp" +#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/detail/search.hpp" +#include "netgraph/core/evaluators.hpp" +#include "netgraph/core/flow_ledger.hpp" +#include "netgraph/core/flow_policy.hpp" +#include "test_utils.hpp" + +using namespace netgraph::core; +using namespace netgraph::core::test; +using detail::LedgerAccess; + +namespace { + +// The shared comparators of fault_injection.hpp, beside this file's own overloads. +using test::expect_same; + +// The policy's epoch state: the call state and per roster source its flows (ids, routes, members). +struct Epoch { + Counter128 requested; + bool infinite {false}; + std::vector>>> cohorts; +}; + +Epoch epoch(const FlowPolicy& p) { + const auto& pe = detail::PolicyAccess::engine(p); + Epoch e {pe.requested, pe.infinite, {}}; + for (const auto& c : pe.cohorts) { + auto& out = e.cohorts.emplace_back(); + for (const auto& f : c) { + if (f.plan) { + out.emplace_back(f.id, f.plan->members); + } else { + const auto edges = detail::PredDAGBuilder::ascending(*f.bundle); + out.emplace_back(f.id, std::vector(edges.begin(), edges.end())); + } + } + } + return e; +} + +void expect_same(const Epoch& a, const Epoch& b, const std::string& where) { + EXPECT_EQ(a.requested, b.requested) << where; + EXPECT_EQ(a.infinite, b.infinite) << where; + EXPECT_EQ(a.cohorts, b.cohorts) << where; +} + +PathSelection sel(EdgeTieBreak t, EdgePriority p, bool multipath = true, bool multi_edge = true) { + return PathSelection(t, p, multipath, multi_edge); +} + +// Sources 0 and 1, destinations 5 and 6: three equal-cost routes with a parallel pair and a +// shared middle, a costlier bypass, and a second destination. +std::shared_ptr graph() { + return std::make_shared( + make_graph(7, {{0, 2, 6, 1}, {0, 3, 4, 1}, {1, 3, 5, 1}, {1, 4, 3, 1}, {2, 5, 3, 1}, {2, 5, 2, 1}, + {3, 5, 4, 1}, {4, 6, 9, 1}, {3, 6, 2, 2}, {0, 6, 3, 4}, {2, 4, 2, 1}})); +} + +struct Mode { + std::string name; + FlowPolicyConfig cfg; + std::vector sources; + std::vector destinations; +}; + +std::vector modes(const Graph& g) { + std::vector out; + const auto det = sel(EdgeTieBreak::Deterministic, EdgePriority::Capacity); + const auto res = sel(EdgeTieBreak::Deterministic, EdgePriority::Residual); + const auto tunnel = sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, false); + const std::vector S = {0, 1}; + const std::vector D = {5, 6}; + out.push_back({"costonly maxflow", {CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossless, det}, S, D}); + out.push_back({"costonly eb", {CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, det}, S, D}); + out.push_back({"costonly weighted residual", {CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, res}, S, D}); + out.push_back({"costonly lossy", {CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy, det}, S, D}); + out.push_back({"costonly single path collapse", + {CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, tunnel}, S, D}); + CapacityAware grow; + grow.flow_count = 1; + grow.max_flow_count = 4; + out.push_back({"capacityaware eb growth", {grow, FlowPlacement::EqualBalanced, Admission::Lossless, tunnel}, S, D}); + CapacityAware reopt; + reopt.flow_count = 2; + reopt.reoptimize = true; + reopt.max_path_cost = Stretch {2.0}; + out.push_back({"capacityaware maxflow reopt", {reopt, FlowPlacement::MaxFlow, Admission::Lossless, det}, S, D}); + CapacityAware dim; + dim.flow_count = 1; + dim.diminishing = DiminishingReturns {1, 0.5}; + dim.min_flow_bandwidth = 1; + out.push_back({"capacityaware weighted diminishing", {dim, FlowPlacement::Weighted, Admission::Lossless, res}, S, D}); + out.push_back({"global", {Global {}, FlowPlacement::MaxFlow, Admission::Lossless, det}, S, D}); + Pinned two; + const auto inv = id_of_input(g); + two.bundles = {std::make_shared(detail::PredDAGBuilder::of_edges(g, std::vector {inv[0], inv[4], inv[5]})), + std::make_shared(detail::PredDAGBuilder::of_edges(g, std::vector {inv[1], inv[6]}))}; + out.push_back({"pinned eb cohort", {two, FlowPlacement::EqualBalanced, Admission::Lossless, det}, {0}, {5}}); + out.push_back({"pinned lossy", {two, FlowPlacement::Weighted, Admission::Lossy, det}, {0}, {5}}); + return out; +} + +struct Scenario { + std::vector> before; + std::optional call; + OutputOptions outputs; + std::string name; +}; + +std::vector scenarios() { + return { + {{}, 5, {}, "create"}, + {{3}, 4, {}, "update"}, + {{2}, std::nullopt, {}, "update to +inf"}, + {{}, 7, {true, true, true}, "create with outputs"}, + {{4}, 0, {true, true, true}, "zero with outputs"}, + }; +} + +// A third party holding one unit on the first route's edges. +std::unique_ptr third_party(FlowLedger& fg, const Graph& g) { + const auto inv = id_of_input(g); + Pinned p; + p.bundles = {std::make_shared(detail::PredDAGBuilder::of_edges(g, std::vector {inv[0], inv[4]}))}; + auto t = std::make_unique(fg, std::vector {0}, std::vector {5}, + FlowPolicyConfig {p, FlowPlacement::MaxFlow, Admission::Lossless, + PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)}); + (void)t->place(1); + return t; +} + +} // namespace + +TEST(PolicyFaults, EveryAllocationOfEveryRoutingModeFailsAtomically) { + const auto g = graph(); + int sweeps = 0; + long injected = 0; + for (const auto& m : modes(*g)) { + for (const auto& sc : scenarios()) { + const std::string where = m.name + " / " + sc.name; + FlowLedger ref(g); + auto ref_third = third_party(ref, *g); + FlowPolicy pref(ref, m.sources, m.destinations, m.cfg); + for (auto v : sc.before) (void)pref.place(v); + const LedgerState initial = ledger_state(ref); + const Epoch initial_epoch = epoch(pref); + const PlacementResult want = pref.place(sc.call, sc.outputs); + const LedgerState after = ledger_state(ref); + const Epoch want_epoch = epoch(pref); + pref.remove(); + const LedgerState removed = ledger_state(ref); + ++sweeps; + for (long at = 0;; ++at) { + const std::string w = where + " allocation " + std::to_string(at); + FlowLedger fg(g); + auto third = third_party(fg, *g); + FlowPolicy p(fg, m.sources, m.destinations, m.cfg); + for (auto v : sc.before) (void)p.place(v); + expect_same(ledger_state(fg), initial, w + " (setup)"); + PlacementResult got; + if (!fails_at(at, [&] { got = p.place(sc.call, sc.outputs); })) { + expect_same(got, want, w + " (no failure)"); + expect_same(ledger_state(fg), after, w + " (no failure)"); + break; + } + ++injected; + expect_same(ledger_state(fg), initial, w + " (failed call)"); + expect_same(epoch(p), initial_epoch, w + " (failed call)"); + expect_balanced(fg, w + " (failed call)"); + expect_same(p.place(sc.call, sc.outputs), want, w + " (retry)"); + expect_same(ledger_state(fg), after, w + " (retry)"); + expect_same(epoch(p), want_epoch, w + " (retry)"); + p.remove(); + expect_same(ledger_state(fg), removed, w + " (remove)"); + if (::testing::Test::HasFailure()) return; + } + } + } + EXPECT_EQ(sweeps, 11 * 5); + EXPECT_GT(injected, sweeps * 3); // not vacuous +} + +// The calls that place nothing publish only their outputs and, for a positive request, the +// epoch's request: a zero request, and a positive or +inf request when no source reaches a +// destination (an empty roster; the endpoints swapped: 5 and 6 have no out-edges). A failure +// changes neither the ledger nor the epoch state. +TEST(PolicyFaults, ZeroAndEmptyRosterCallsFailAtomically) { + const auto g = graph(); + const OutputOptions all {true, true, true}; + long injected = 0; + struct Case { + bool swap; + std::optional volume; + std::string name; + }; + const std::vector cases = {{false, 0, "zero"}, {true, 4, "empty roster"}, {true, std::nullopt, "empty roster +inf"}}; + for (const auto& m : modes(*g)) { + if (std::holds_alternative(m.cfg.routing)) continue; // bundles bind their endpoints + for (const auto& c : cases) { + const auto& s = c.swap ? m.destinations : m.sources; + const auto& d = c.swap ? m.sources : m.destinations; + FlowLedger ref(g); + auto ref_third = third_party(ref, *g); + FlowPolicy pref(ref, s, d, m.cfg); + const PlacementResult want = pref.place(c.volume, all); + const Epoch want_epoch = epoch(pref); + if (c.swap) EXPECT_TRUE(detail::PolicyAccess::engine(pref).roster.empty()) << m.name; + for (long at = 0;; ++at) { + const std::string w = m.name + " / " + c.name + " allocation " + std::to_string(at); + FlowLedger fg(g); + auto third = third_party(fg, *g); + FlowPolicy p(fg, s, d, m.cfg); + const LedgerState before = ledger_state(fg); + const Epoch before_epoch = epoch(p); + PlacementResult got; + if (!fails_at(at, [&] { got = p.place(c.volume, all); })) { + expect_same(got, want, w + " (no failure)"); + break; + } + ++injected; + expect_same(ledger_state(fg), before, w + " (failed call)"); + expect_same(epoch(p), before_epoch, w + " (failed call)"); + expect_same(p.place(c.volume, all), want, w + " (retry)"); + expect_same(epoch(p), want_epoch, w + " (retry)"); + if (::testing::Test::HasFailure()) return; + } + } + } + EXPECT_GT(injected, 27); // every mode and case fails at least once +} + +TEST(PolicyFaults, ConstructionFailsWithoutBindingAndTheCacheStaysConsistent) { + const auto g = graph(); + for (const auto& m : modes(*g)) { + for (const bool with_cache : {false, true}) { + for (long at = 0;; ++at) { + FlowLedger fg(g); + DagCache cache(*g); + const LedgerState before = ledger_state(fg); + std::optional p; + if (!fails_at(at, [&] { p.emplace(fg, m.sources, m.destinations, m.cfg, nullptr, with_cache ? &cache : nullptr); })) { + EXPECT_EQ(LedgerAccess::bound_owners(fg).size(), 1U); + break; + } + const std::string w = m.name + (with_cache ? " cached" : "") + " construction allocation " + std::to_string(at); + EXPECT_FALSE(p.has_value()) << w; + expect_same(ledger_state(fg), before, w); + // The cache holds whole entries only: its statistics agree with a fresh lookup. + const auto s = cache.stats(); + EXPECT_EQ(s.live_values, s.entries) << w; + EXPECT_LE(s.entries, 1) << w; + // A clean construction works and places like the reference. + p.emplace(fg, m.sources, m.destinations, m.cfg, nullptr, with_cache ? &cache : nullptr); + EXPECT_GE(p->place(2).placed, 0) << w; + expect_balanced(fg, w); + } + } + } +} + +TEST(PolicyFaults, DagCacheInsertionIsAllOrNothing) { + const auto g = graph(); + const std::vector roots = {5, 6}; + for (long at = 0;; ++at) { + DagCache cache(*g); + (void)cache.lookup(*g, std::vector {5}, Direction::Reverse, nullptr); // one entry before + const auto before = cache.stats(); + std::shared_ptr got; + if (!fails_at(at, [&] { got = cache.lookup(*g, roots, Direction::Reverse, nullptr); })) { + EXPECT_EQ(cache.stats().entries, 2); + break; + } + const auto s = cache.stats(); + const std::string w = "lookup allocation " + std::to_string(at); + EXPECT_EQ(s.entries, before.entries) << w; + EXPECT_EQ(s.bytes, before.bytes) << w; + EXPECT_EQ(s.live_values, before.live_values) << w; + EXPECT_EQ(s.hits, before.hits) << w; + EXPECT_LE(s.misses, before.misses + 1) << w; // a failed search counts its miss + const auto v = cache.lookup(*g, roots, Direction::Reverse, nullptr); // a clean retry inserts + EXPECT_EQ(cache.stats().entries, 2) << w; + EXPECT_TRUE(*v == detail::static_support(*g, roots, Direction::Reverse, nullptr)) << w; + } +} + +namespace { + +// The evaluators under a failure on `workers` threads: anywhere in the process (every `step`-th +// allocation: the evaluators allocate a lot) or, with several workers, in the worker threads only +// (their setup and their tasks; every third worker allocation, from the first). The failure +// propagates as std::bad_alloc after every worker has joined, never terminating the process +// (review-1c F1: a worker's cache allocation escaped its thread), and a clean retry gives the +// reference. Returns the number of injected failures. +long sweep_evaluator(const std::string& name, std::int32_t workers, bool in_workers, long step, + const std::function& call, const std::function& retry) { + long failures = 0; + for (long at = 0;; at += in_workers ? 3 : step) { + const auto fn = [&] { call(workers); }; + if (!(in_workers ? fails_in_workers_at(at, fn) : fails_at(at, fn))) break; + ++failures; + retry(workers); + if (::testing::Test::HasFailure()) { + ADD_FAILURE() << name << " workers " << workers << (in_workers ? " (worker threads)" : "") << " allocation " << at; + break; + } + } + return failures; +} + +void sweep_batch(const Mode& m, const Graph& g, std::span workers_set) { + const std::vector, std::vector>> pairs = { + {m.sources, m.destinations}, {{1}, {6}}, {{0}, {5}}}; + const auto want = batch_capacity(g, pairs, CapacityOptions {m.cfg}, {}, 1); + for (const std::int32_t workers : workers_set) { + for (const bool in_workers : {false, true}) { + if (in_workers && workers == 1) continue; // one worker runs on the calling thread + const long failures = sweep_evaluator( + m.name + " batch", workers, in_workers, 7, + [&](std::int32_t w) { (void)batch_capacity(g, pairs, CapacityOptions {m.cfg}, {}, w); }, + [&](std::int32_t w) { + const auto b = batch_capacity(g, pairs, CapacityOptions {m.cfg}, {}, w); + ASSERT_EQ(b.size(), want.size()); + for (std::size_t i = 0; i < b.size(); ++i) expect_same(b[i], want[i], m.name + " batch retry"); + }); + EXPECT_GT(failures, 2) << m.name << " batch workers " << workers; // not vacuous + } + } +} + +void sweep_sensitivity(const Mode& m, const Graph& g, std::span workers_set) { + const SensitivityOptions opts {m.cfg}; + const auto want = sensitivity(g, m.sources, m.destinations, opts, 1); + for (const std::int32_t workers : workers_set) { + for (const bool in_workers : {false, true}) { + if (in_workers && workers == 1) continue; + const long failures = sweep_evaluator( + m.name + " sensitivity", workers, in_workers, 11, + [&](std::int32_t w) { (void)sensitivity(g, m.sources, m.destinations, opts, w); }, + [&](std::int32_t w) { + const auto s = sensitivity(g, m.sources, m.destinations, opts, w); + ASSERT_EQ(s.entries.size(), want.entries.size()); + for (std::size_t i = 0; i < s.entries.size(); ++i) { + EXPECT_EQ(s.entries[i].edge, want.entries[i].edge) << m.name; + EXPECT_EQ(s.entries[i].loss, want.entries[i].loss) << m.name; + } + }); + EXPECT_GT(failures, 2) << m.name << " sensitivity workers " << workers; + } + } +} + +} // namespace + +TEST(PolicyFaults, EvaluatorsLeaveNoPoisonedScratch) { + const auto g = graph(); + const std::int32_t one[] = {1}; + for (const auto& m : modes(*g)) { + const CapacityOptions copts {m.cfg, nullptr, nullptr, OutputOptions {true, true, true}}; + const auto want = capacity(*g, m.sources, m.destinations, copts); + for (long at = 0;; ++at) { + PlacementResult got; + if (!fails_at(at, [&] { got = capacity(*g, m.sources, m.destinations, copts); })) { + expect_same(got, want, m.name + " capacity (no failure)"); + break; + } + expect_same(capacity(*g, m.sources, m.destinations, copts), want, m.name + " capacity retry " + std::to_string(at)); + } + if (std::holds_alternative(m.cfg.routing)) continue; + sweep_batch(m, *g, one); + sweep_sensitivity(m, *g, one); + if (::testing::Test::HasFailure()) return; + } +} + +TEST(PolicyFaults, BatchWorkersFailWithoutTerminating) { + const auto g = graph(); + const std::int32_t several[] = {2, 4}; + for (const auto& m : modes(*g)) { + if (std::holds_alternative(m.cfg.routing)) continue; + sweep_batch(m, *g, several); + if (::testing::Test::HasFailure()) return; + } +} + +TEST(PolicyFaults, SensitivityWorkersFailWithoutTerminating) { + const auto g = graph(); + const std::int32_t several[] = {2, 4}; + for (const auto& m : modes(*g)) { + if (std::holds_alternative(m.cfg.routing)) continue; + sweep_sensitivity(m, *g, several); + if (::testing::Test::HasFailure()) return; + } +} + +TEST(PolicyFaults, RemovalAndReleaseNeverAllocate) { + const auto g = graph(); + for (const auto& m : modes(*g)) { + FlowLedger fg(g); + auto p = std::make_unique(fg, m.sources, m.destinations, m.cfg); + (void)p->place(5); + EXPECT_FALSE(fails_at(0, [&] { p->remove(); })) << m.name; + EXPECT_TRUE(fg.records().empty()) << m.name; + (void)p->place(3); + const auto held = fg.allocated(); + EXPECT_FALSE(fails_at(0, [&] { p.reset(); })) << m.name; + EXPECT_EQ(fg.allocated(), held) << m.name; + EXPECT_TRUE(LedgerAccess::bound_owners(fg).empty()) << m.name; + } +} + +// The working-residual overlay and the per-source scratch grow with the graph: every position +// fails on a graph larger than any before, so the failure lands while they grow; the failed call +// changes nothing and a clean retry on the same graph works (ASan reports any access outside a +// partly grown array). +TEST(PolicyFaults, ScratchGrowthFailureLeavesNothingHalfGrown) { + int failures = 0; + std::int32_t n = 400; + for (long at = 0;; ++at, n += 300) { + std::vector chain; + for (NodeId u = 0; u + 1 < n; ++u) chain.push_back({u, u + 1, 5, 1}); + auto g = std::make_shared(make_graph(n, chain)); + FlowLedger fg(g); + FlowPolicy p(fg, std::vector {0}, std::vector {n - 1}, + FlowPolicyConfig {CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, + PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)}); + const LedgerState before = ledger_state(fg); + PlacementResult got; + const bool failed = fails_at(at, [&] { got = p.place(2, OutputOptions {true, true, true}); }); + if (failed) { + ++failures; + expect_same(ledger_state(fg), before, "growth allocation " + std::to_string(at)); + got = p.place(2, OutputOptions {true, true, true}); + } + EXPECT_EQ(got.placed, 2) << "growth allocation " << at; + expect_balanced(fg, "growth allocation " + std::to_string(at)); + if (!failed) break; + } + EXPECT_GT(failures, 4); +} diff --git a/tests/cpp/flow_policy_fixture_tests.cpp b/tests/cpp/flow_policy_fixture_tests.cpp new file mode 100644 index 0000000..f0806b1 --- /dev/null +++ b/tests/cpp/flow_policy_fixture_tests.cpp @@ -0,0 +1,891 @@ +// Prototype 2's 59 fixtures replayed through FlowPolicy (APPROACH 8, 9). +// +// tests/data/policy_fixtures.json was exported from the reference, prototype 2 of the design tree +// (its "source" names it; the design tree is untracked by design; its maintained exporter is +// equivalence/export_policy_fixtures.py there): every ledger, policy and call +// of every fixture in order, with the prototype's values after each operation. The replay checks +// every one of them on the engine: each call's result (placed, remaining, termination, local +// outcomes, flags, drops, the cost curve, the requested outputs), its trace (prototype 2's keys), +// the ledger after it (allocations, residuals, every record field, next FlowId, owners) and the +// policy state (roster, requested, +inf, placed demand, usable bundles, per source the flows' +// ids, routes, T, deliveries, allocations, members and weights). An operation the prototype +// rejects must throw here too (the messages differ). Normalised on both sides: the T_max probe +// counts, the flow core's operation counters and ledger uids. The replay needs the private hooks +// (the trace and the creation cap; NETGRAPH_CORE_PRIVATE_HOOKS) and is skipped without them. +#include + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/ledger_access.hpp" +#include "netgraph/core/detail/policy_engine.hpp" +#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/detail/private_hooks.hpp" +#include "netgraph/core/detail/trace.hpp" +#include "netgraph/core/flow_ledger.hpp" +#include "netgraph/core/flow_policy.hpp" +#include "netgraph/core/graph.hpp" +#include "test_utils.hpp" + +#ifndef NETGRAPH_CORE_TEST_DATA +#error "NETGRAPH_CORE_TEST_DATA (the tests/data directory) must be defined by the build" +#endif + +#if NETGRAPH_CORE_PRIVATE_HOOKS + +using namespace netgraph::core; +using detail::LedgerAccess; + +namespace { + +// ---------------------------------------------------------------- a small JSON value + +struct J { + enum class K { Null, Bool, Int, Dbl, Str, Arr, Obj }; + K k {K::Null}; + bool b {false}; + __int128 i {0}; + double d {0.0}; + std::string s {}; + std::vector a {}; + std::vector> o {}; + + static J null() { return {}; } + static J boolean(bool v) { + J j; + j.k = K::Bool; + j.b = v; + return j; + } + static J integer(__int128 v) { + J j; + j.k = K::Int; + j.i = v; + return j; + } + static J str(std::string v) { + J j; + j.k = K::Str; + j.s = std::move(v); + return j; + } + static J arr() { + J j; + j.k = K::Arr; + return j; + } + static J obj() { + J j; + j.k = K::Obj; + return j; + } + J& set(const std::string& key, J v) { + k = K::Obj; + o.emplace_back(key, std::move(v)); + return o.back().second; + } + J& push(J v) { + k = K::Arr; + a.push_back(std::move(v)); + return a.back(); + } + [[nodiscard]] const J* get(const std::string& key) const { + for (const auto& [kk, v] : o) { + if (kk == key) return &v; + } + return nullptr; + } + [[nodiscard]] const J& at(const std::string& key) const { + const J* p = get(key); + if (p == nullptr) throw std::runtime_error("missing key " + key); + return *p; + } + [[nodiscard]] bool is_null() const { return k == K::Null; } + [[nodiscard]] std::int64_t int64() const { + if (k != K::Int) throw std::runtime_error("not an integer"); + return static_cast(i); + } +}; + +std::string int128_text(__int128 v) { + if (v == 0) return "0"; + const bool neg = v < 0; + unsigned __int128 u = neg ? static_cast(-(v + 1)) + 1 : static_cast(v); + std::string out; + while (u != 0) { + out.push_back(static_cast('0' + static_cast(u % 10))); + u /= 10; + } + if (neg) out.push_back('-'); + return {out.rbegin(), out.rend()}; +} + +std::string dump(const J& j) { + switch (j.k) { + case J::K::Null: return "null"; + case J::K::Bool: return j.b ? "true" : "false"; + case J::K::Int: return int128_text(j.i); + case J::K::Dbl: { + std::ostringstream os; + os << j.d; + return os.str(); + } + case J::K::Str: return "\"" + j.s + "\""; + case J::K::Arr: { + std::string out = "["; + for (std::size_t n = 0; n < j.a.size(); ++n) out += (n ? "," : "") + dump(j.a[n]); + return out + "]"; + } + case J::K::Obj: { + std::string out = "{"; + for (std::size_t n = 0; n < j.o.size(); ++n) out += (n ? "," : "") + ("\"" + j.o[n].first + "\":") + dump(j.o[n].second); + return out + "}"; + } + } + return "?"; +} + +class Parser { +public: + explicit Parser(const std::string& text) : t_(text) {} + J parse() { + J v = value(); + ws(); + if (p_ != t_.size()) fail("trailing data"); + return v; + } + +private: + [[noreturn]] void fail(const std::string& why) const { + throw std::runtime_error("JSON: " + why + " at offset " + std::to_string(p_)); + } + void ws() { + while (p_ < t_.size() && (t_[p_] == ' ' || t_[p_] == '\n' || t_[p_] == '\r' || t_[p_] == '\t')) ++p_; + } + bool lit(const char* word) { + const std::string w(word); + if (t_.compare(p_, w.size(), w) == 0) { + p_ += w.size(); + return true; + } + return false; + } + std::string string() { + if (t_[p_] != '"') fail("expected a string"); + ++p_; + std::string out; + while (p_ < t_.size() && t_[p_] != '"') { + char c = t_[p_++]; + if (c == '\\') { + const char e = t_[p_++]; + switch (e) { + case 'n': c = '\n'; break; + case 't': c = '\t'; break; + case 'r': c = '\r'; break; + case 'u': { + const auto code = std::strtol(t_.substr(p_, 4).c_str(), nullptr, 16); + p_ += 4; + if (code > 0x7f) fail("non-ASCII escape"); + c = static_cast(code); + break; + } + default: c = e; + } + } + out.push_back(c); + } + if (p_ >= t_.size()) fail("unterminated string"); + ++p_; + return out; + } + J value() { + ws(); + if (p_ >= t_.size()) fail("unexpected end"); + const char c = t_[p_]; + if (c == '{') { + ++p_; + J j = J::obj(); + ws(); + if (t_[p_] == '}') { + ++p_; + return j; + } + while (true) { + ws(); + std::string key = string(); + ws(); + if (t_[p_++] != ':') fail("expected ':'"); + j.o.emplace_back(std::move(key), value()); + ws(); + if (t_[p_] == ',') { + ++p_; + continue; + } + if (t_[p_] == '}') { + ++p_; + return j; + } + fail("expected ',' or '}'"); + } + } + if (c == '[') { + ++p_; + J j = J::arr(); + ws(); + if (t_[p_] == ']') { + ++p_; + return j; + } + while (true) { + j.a.push_back(value()); + ws(); + if (t_[p_] == ',') { + ++p_; + continue; + } + if (t_[p_] == ']') { + ++p_; + return j; + } + fail("expected ',' or ']'"); + } + } + if (c == '"') return J::str(string()); + if (lit("null")) return J::null(); + if (lit("true")) return J::boolean(true); + if (lit("false")) return J::boolean(false); + // A number: an integer of any size below 2^127, or a double. + const std::size_t start = p_; + if (t_[p_] == '-') ++p_; + while (p_ < t_.size() && std::isdigit(static_cast(t_[p_]))) ++p_; + bool real = false; + while (p_ < t_.size() && (t_[p_] == '.' || t_[p_] == 'e' || t_[p_] == 'E' || t_[p_] == '+' || t_[p_] == '-' || + std::isdigit(static_cast(t_[p_])))) { + real = true; + ++p_; + } + const std::string num = t_.substr(start, p_ - start); + if (num.empty() || num == "-") fail("bad value"); + if (real) { + J j; + j.k = J::K::Dbl; + j.d = std::strtod(num.c_str(), nullptr); + return j; + } + __int128 v = 0; + const bool neg = num[0] == '-'; + for (std::size_t n = neg ? 1 : 0; n < num.size(); ++n) v = v * 10 + (num[n] - '0'); + return J::integer(neg ? -v : v); + } + + const std::string& t_; + std::size_t p_ {0}; +}; + +const J& data() { + static const J d = [] { + const std::string path = std::string(NETGRAPH_CORE_TEST_DATA) + "/policy_fixtures.json"; + std::ifstream in(path); + if (!in) throw std::runtime_error("cannot open " + path); + std::stringstream ss; + ss << in.rdbuf(); + const std::string text = ss.str(); + return Parser(text).parse(); + }(); + return d; +} + +// Structural equality; objects by key set, arrays in order. `why` names the first difference. +bool same(const J& a, const J& b, const std::string& path, std::string& why) { + if (a.k != b.k) { + why = path + ": " + dump(a) + " (expected) != " + dump(b) + " (engine)"; + return false; + } + switch (a.k) { + case J::K::Null: return true; + case J::K::Bool: + if (a.b == b.b) return true; + break; + case J::K::Int: + if (a.i == b.i) return true; + break; + case J::K::Dbl: + if (a.d == b.d) return true; + break; + case J::K::Str: + if (a.s == b.s) return true; + break; + case J::K::Arr: + if (a.a.size() != b.a.size()) { + why = path + ": length " + std::to_string(a.a.size()) + " (expected) != " + std::to_string(b.a.size()) + + " (engine): " + dump(a) + " vs " + dump(b); + return false; + } + for (std::size_t n = 0; n < a.a.size(); ++n) { + if (!same(a.a[n], b.a[n], path + "[" + std::to_string(n) + "]", why)) return false; + } + return true; + case J::K::Obj: + for (const auto& [key, v] : a.o) { + const J* w = b.get(key); + if (w == nullptr) { + why = path + "." + key + ": missing in the engine's value"; + return false; + } + if (!same(v, *w, path + "." + key, why)) return false; + } + for (const auto& [key, v] : b.o) { + if (a.get(key) == nullptr) { + why = path + "." + key + ": only in the engine's value (" + dump(v) + ")"; + return false; + } + } + return true; + } + why = path + ": " + dump(a) + " (expected) != " + dump(b) + " (engine)"; + return false; +} + +// ---------------------------------------------------------------- the engine as JSON values + +template +J ints(const T& v) { + J j = J::arr(); + for (const auto& x : v) j.push(J::integer(static_cast<__int128>(x))); + return j; +} + +template +J pairs(const std::vector>& v) { + J j = J::arr(); + for (const auto& [x, y] : v) { + J p = J::arr(); + p.push(J::integer(static_cast<__int128>(x))); + p.push(J::integer(static_cast<__int128>(y))); + j.push(std::move(p)); + } + return j; +} + +__int128 wide(const Counter128& c) { + return (static_cast<__int128>(c.hi) << 64) | static_cast<__int128>(c.lo); +} + +const char* placement_name(FlowPlacement p) { + switch (p) { + case FlowPlacement::MaxFlow: return "MaxFlow"; + case FlowPlacement::Weighted: return "Weighted"; + case FlowPlacement::EqualBalanced: return "EqualBalanced"; + } + return "?"; +} + +const char* outcome_name(Termination t) { + switch (t) { + case Termination::Complete: return "complete"; + case Termination::LimitFlows: return "limit_flows"; + case Termination::LimitDiminishing: return "limit_diminishing"; + case Termination::NoRoute: return "no_route"; + case Termination::Exhausted: return "exhausted"; + } + return "?"; +} + +J result_json(const PlacementResult& r) { + J j = J::obj(); + j.set("placed", J::integer(r.placed)); + j.set("remaining", r.remaining.has_value() ? J::integer(*r.remaining) : J::str("inf")); + j.set("termination", J::str(outcome_name(r.termination))); + j.set("routes_changed", J::boolean(r.routes_changed)); + j.set("weights_changed", J::boolean(r.weights_changed)); + j.set("drops", pairs(r.drops)); + J lo = J::arr(); + for (const auto& [s, o] : r.local_outcomes) { + J p = J::arr(); + p.push(J::integer(s)); + p.push(J::str(outcome_name(o))); + lo.push(std::move(p)); + } + j.set("local_outcomes", std::move(lo)); + if (r.cost_distribution.has_value()) j.set("cost_distribution", pairs(*r.cost_distribution)); + if (r.edge_flows.has_value()) j.set("edge_flows", ints(*r.edge_flows)); + if (r.residual.has_value()) j.set("residual", ints(*r.residual)); + if (r.bottleneck.has_value()) j.set("bottleneck", ints(*r.bottleneck)); + if (r.min_cut.has_value()) j.set("min_cut", ints(*r.min_cut)); + return j; +} + +J ledger_json(const FlowLedger& fg) { + J j = J::obj(); + j.set("allocated", ints(fg.allocated())); + j.set("residual", ints(fg.residual())); + J recs = J::arr(); + for (const auto& r : fg.records()) { + J x = J::obj(); + x.set("flow_id", J::integer(r.flow_id.second)); + x.set("owner", J::integer(r.owner)); + x.set("sources", ints(r.sources)); + x.set("destinations", ints(r.destinations)); + x.set("placement", J::str(placement_name(r.placement))); + x.set("admission", J::str(r.admission == Admission::Lossy ? "Lossy" : "Lossless")); + x.set("bundle", ints(detail::PredDAGBuilder::ascending(*r.bundle))); + x.set("route_cost", r.route_cost == kUnreachable ? J::null() : J::integer(r.route_cost)); + x.set("offered", r.offered.has_value() ? J::integer(wide(*r.offered)) : J::null()); + x.set("delivered", J::integer(r.delivered)); + x.set("edges", pairs(r.edges)); + J drops = J::arr(); + for (const auto& [e, c] : r.drops) { + J p = J::arr(); + p.push(J::integer(e)); + p.push(J::integer(wide(c))); + drops.push(std::move(p)); + } + x.set("drops", std::move(drops)); + recs.push(std::move(x)); + } + j.set("records", std::move(recs)); + j.set("next_flow_id", J::integer(LedgerAccess::next_flow_id(fg))); + j.set("bound", ints(LedgerAccess::bound_owners(fg))); + j.set("orphans", ints(LedgerAccess::orphan_owners(fg))); + return j; +} + +J policy_json(const FlowPolicy& policy) { + const auto& pe = detail::PolicyAccess::engine(policy); + const bool lossy = pe.config.admission == Admission::Lossy; + J j = J::obj(); + j.set("roster", ints(pe.roster)); + j.set("requested", J::integer(wide(pe.requested))); + j.set("infinite", J::boolean(pe.infinite)); + j.set("placed_demand", J::integer(policy.placed_demand())); + j.set("usable", J::integer(policy.usable_bundles())); + J cohorts = J::arr(); + for (std::size_t i = 0; i < pe.roster.size(); ++i) { + if (pe.cohorts[i].empty()) continue; + J flows = J::arr(); + for (const auto& s : pe.cohorts[i]) { + const FlowRecord& rec = LedgerAccess::live(pe.fg, s.id); + std::vector route; + std::vector members; + if (s.plan) { + route = s.plan->route; + members = s.plan->members; + } else { + const auto e = detail::PredDAGBuilder::ascending(*s.bundle); + route.assign(e.begin(), e.end()); + members = route; + } + J f = J::obj(); + f.set("id", J::integer(s.id)); + f.set("route", ints(route)); + f.set("T", lossy ? J::null() : J::integer(rec.delivered)); + f.set("delivered", J::integer(rec.delivered)); + f.set("alloc", pairs(rec.edges)); + f.set("members", ints(members)); + if (s.plan && s.plan->placement == FlowPlacement::Weighted) { + J w = J::arr(); + for (std::size_t m = 0; m < s.plan->members.size(); ++m) { + J p = J::arr(); + p.push(J::integer(s.plan->members[m])); + p.push(J::integer(s.plan->weights[m])); + w.push(std::move(p)); + } + f.set("weights", std::move(w)); + } else { + f.set("weights", J::null()); + } + flows.push(std::move(f)); + } + J entry = J::arr(); + entry.push(J::integer(pe.roster[i])); + entry.push(std::move(flows)); + cohorts.push(std::move(entry)); + } + j.set("cohorts", std::move(cohorts)); + return j; +} + +// The trace with the normalisation of the exported data: probe counts, counters and ledger uids +// dropped, FlowIds as ids. +J trace_json(const detail::Trace& t) { + using K = detail::Trace::Kind; + switch (t.kind) { + case K::Null: return J::null(); + case K::Bool: return J::boolean(t.b); + case K::Int: return J::integer(t.i); + case K::Str: return J::str(t.s); + case K::List: { + J j = J::arr(); + for (const auto& x : t.items) j.push(trace_json(x)); + return j; + } + case K::Map: { + J j = J::obj(); + for (const auto& [key, x] : t.fields) { + if (key == "evals" || key == "ledger_uid" || key == "counters" || key == "evaluations") continue; + if ((key == "flow" || key == "flow_id") && x.kind == K::List && x.items.size() == 2) { + j.set(key, J::integer(x.items[1].i)); + continue; + } + j.set(key, trace_json(x)); + } + return j; + } + } + return J::null(); +} + +// ---------------------------------------------------------------- the replay + +std::vector int32s(const J& j) { + std::vector out; + for (const auto& x : j.a) out.push_back(static_cast(x.int64())); + return out; +} + +std::vector amounts(const J& j) { + std::vector out; + for (const auto& x : j.a) out.push_back(x.int64()); + return out; +} + +std::vector endpoints(const J& j) { + if (j.k == J::K::Int) return {static_cast(j.int64())}; + return int32s(j); +} + +std::shared_ptr dag_of(const Graph& g, std::vector edges) { + std::sort(edges.begin(), edges.end()); + std::vector> per(static_cast(g.num_nodes())); + for (EdgeId e : edges) per[static_cast(g.edge_dst()[static_cast(e)])].push_back(e); + std::vector offsets {0}; + std::vector parents; + std::vector via; + for (const auto& entries : per) { + for (EdgeId e : entries) { + parents.push_back(g.edge_src()[static_cast(e)]); + via.push_back(e); + } + offsets.push_back(static_cast(via.size())); + } + return std::make_shared(PredDAG::from_csr(g, offsets, parents, via)); +} + +FlowPolicyConfig config_of(const Graph& g, const J& c) { + const J& r = c.at("routing"); + const std::string kind = r.at("kind").s; + Routing routing = CostOnly {}; + if (kind == "Global") { + routing = Global {}; + } else if (kind == "Pinned") { + Pinned p; + for (const auto& b : r.at("bundles").a) p.bundles.push_back(dag_of(g, int32s(b))); + routing = std::move(p); + } else if (kind == "CapacityAware") { + CapacityAware ca; + ca.flow_count = static_cast(r.at("flow_count").int64()); + if (!r.at("max_flow_count").is_null()) ca.max_flow_count = static_cast(r.at("max_flow_count").int64()); + if (!r.at("max_path_cost").is_null()) { + const J& mc = r.at("max_path_cost"); + if (mc.a[0].s == "Absolute") { + ca.max_path_cost = Absolute {mc.a[1].int64()}; + } else { + ca.max_path_cost = Stretch {mc.a[1].k == J::K::Dbl ? mc.a[1].d : static_cast(mc.a[1].int64())}; + } + } + ca.min_flow_bandwidth = r.at("min_flow_bandwidth").int64(); + ca.reoptimize = r.at("reoptimize").b; + if (!r.at("diminishing").is_null()) { + const J& d = r.at("diminishing"); + ca.diminishing = DiminishingReturns {static_cast(d.a[0].int64()), + d.a[1].k == J::K::Dbl ? d.a[1].d : static_cast(d.a[1].int64())}; + } + routing = ca; + } + const std::string placement = c.at("placement").s; + const FlowPlacement fp = placement == "MaxFlow" ? FlowPlacement::MaxFlow + : placement == "Weighted" ? FlowPlacement::Weighted + : FlowPlacement::EqualBalanced; + const Admission adm = c.at("admission").s == "Lossy" ? Admission::Lossy : Admission::Lossless; + const J& sel = c.at("selection"); + const EdgeTieBreak tie = + sel.at("tie_break").s == "Deterministic" ? EdgeTieBreak::Deterministic : EdgeTieBreak::PreferHigherPriority; + const std::string pr = sel.at("priority").s; + const EdgePriority prio = pr == "Residual" ? EdgePriority::Residual + : pr == "Capacity" ? EdgePriority::Capacity + : EdgePriority::Headroom; + return FlowPolicyConfig {std::move(routing), fp, adm, + PathSelection(tie, prio, sel.at("multipath").b, sel.at("multi_edge").b)}; +} + +// Restores the creation cap whatever happens. +struct CapGuard { + std::int64_t old {detail::max_flows_per_call().load()}; + ~CapGuard() { detail::max_flows_per_call().store(old); } +}; + +// Replays one fixture; returns the failures (empty when every value matches). +std::vector replay(const J& fx) { + std::vector fails; + const std::string name = fx.at("name").s; + CapGuard guard; + std::vector> graphs; + for (const auto& spec : fx.at("graphs").a) { + std::vector edges; + for (const auto& e : spec.at("edges").a) { + edges.push_back({static_cast(e.a[0].int64()), static_cast(e.a[1].int64()), e.a[2].int64(), + e.a[3].int64()}); + } + const double q = spec.at("q").k == J::K::Dbl ? spec.at("q").d : static_cast(spec.at("q").int64()); + auto g = std::make_shared( + test::make_graph(static_cast(spec.at("n").int64()), edges, q)); + const auto ii = g->input_index(); + if (std::vector(ii.begin(), ii.end()) != int32s(spec.at("input_index"))) { + fails.push_back(name + ": the engine ranks the edges differently (input_index)"); + return fails; + } + graphs.push_back(std::move(g)); + } + // Lifetimes: graphs outlive the ledgers and the Eligibility values, which outlive the policies. + std::deque ledgers; + std::vector ledger_of_id; + std::deque eligs; + std::vector> policies; + std::vector policy_ledger; + std::vector curves; // per policy: the cumulative Global curve of the epoch (F5 normalisation) + auto check = [&](const std::string& where, const char* what, const J& expected, const J& actual) { + std::string why; + if (!same(expected, actual, what, why)) fails.push_back(name + " " + where + ": " + why); + }; + const auto& ops = fx.at("ops").a; + for (std::size_t n = 0; n < ops.size(); ++n) { + const J& op = ops[n]; + const std::string kind = op.at("op").s; + const std::string where = "op " + std::to_string(n) + " (" + kind + ")"; + const bool error = op.at("error").b; + const J* expect = op.get("expect"); + if (kind == "ledger") { + const auto& g = graphs[static_cast(op.at("graph").int64())]; + try { + if (op.at("baseline").is_null()) { + ledgers.emplace_back(g); + } else { + ledgers.emplace_back(g, amounts(op.at("baseline"))); + } + if (error) fails.push_back(name + " " + where + ": accepted, the prototype rejects it"); + ledger_of_id.push_back(&ledgers.back()); + } catch (const std::exception& e) { + if (!error) fails.push_back(name + " " + where + ": throws " + e.what()); + } + continue; + } + if (kind == "copy" || kind == "reset") { + FlowLedger& fg = *ledger_of_id[static_cast(op.at("ledger").int64())]; + bool threw = false; + try { + if (kind == "copy") { + ledgers.emplace_back(fg); + ledger_of_id.push_back(&ledgers.back()); + } else if (op.at("baseline").is_null()) { + fg.reset(); + } else { + fg.reset(amounts(op.at("baseline"))); + } + } catch (const std::exception&) { + threw = true; + } + if (threw != error) { + fails.push_back(name + " " + where + (error ? ": accepted, the prototype rejects it" : ": throws")); + return fails; + } + const FlowLedger& shown = (kind == "copy" && !error) ? ledgers.back() : fg; + check(where, "ledger", expect->at("ledger"), ledger_json(shown)); + continue; + } + if (kind == "policy") { + FlowLedger& fg = *ledger_of_id[static_cast(op.at("ledger").int64())]; + const auto& g = *fg.graph(); + std::unique_ptr pol; + try { + const Eligibility* elig = nullptr; + if (!op.at("elig").is_null()) { + eligs.push_back(g.eligibility(int32s(op.at("elig").at("nodes")), int32s(op.at("elig").at("edges")))); + elig = &eligs.back(); + } + auto cfg = config_of(g, op.at("config")); + pol = std::make_unique(fg, endpoints(op.at("sources")), endpoints(op.at("destinations")), + std::move(cfg), elig); + } catch (const std::exception& e) { + if (!error) fails.push_back(name + " " + where + ": throws " + e.what()); + continue; + } + if (error) { + fails.push_back(name + " " + where + ": accepted, the prototype rejects it"); + return fails; + } + policies.push_back(std::move(pol)); + policy_ledger.push_back(&fg); + curves.push_back(J::arr()); + check(where, "policy", expect->at("policy"), policy_json(*policies.back())); + continue; + } + const auto pi = static_cast(op.at("policy").int64()); + const FlowLedger& fg = *policy_ledger[pi]; + if (kind == "destroy") { + policies[pi] = nullptr; // the destruction law: the records stay as orphans + check(where, "ledger", expect->at("ledger"), ledger_json(fg)); + continue; + } + FlowPolicy& pol = *policies[pi]; + if (kind == "remove") { + pol.remove(); + curves[pi] = J::arr(); + check(where, "ledger", expect->at("ledger"), ledger_json(fg)); + check(where, "policy", expect->at("policy"), policy_json(pol)); + continue; + } + // place + std::optional volume; + if (op.at("volume").k == J::K::Int) volume = op.at("volume").int64(); + if (op.at("volume").k == J::K::Str && op.at("volume").s != "inf") { + fails.push_back(name + " " + where + ": unexpected volume " + dump(op.at("volume"))); + continue; + } + if (op.at("volume").k == J::K::Dbl) { + // A non-integer request: the prototype rejects it, as the bindings do; C++ has no such value. + if (!error) fails.push_back(name + " " + where + ": a non-integer request accepted by the prototype"); + continue; + } + OutputOptions outputs; + if (!op.at("outputs").is_null()) { + const auto& o = op.at("outputs").a; + outputs = OutputOptions {o[0].b, o[1].b, o[2].b}; + } + detail::max_flows_per_call().store(op.at("cap").int64()); + detail::Trace trace; + PlacementResult r; + bool threw = false; + try { + r = detail::place_traced(pol, volume, outputs, trace); + } catch (const std::exception&) { + threw = true; + } + if (threw != error) { + fails.push_back(name + " " + where + (error ? ": accepted, the prototype rejects it" : ": throws")); + return fails; + } + if (error) { + check(where, "ledger", expect->at("ledger"), ledger_json(fg)); + continue; + } + J actual = result_json(r); + const J& expected_result = expect->at("result"); + if (std::holds_alternative(pol.config().routing)) { + // Contract over prototype (1c NOTES P3, review-1c F5): a Global zero call reports the + // policy's cumulative curve (9.1), which prototype 2 omits; it must equal the curve of the + // epoch's last positive call ([] before any), and only then is it set aside. + const J* got = actual.get("cost_distribution"); + if (volume.has_value() && *volume == 0 && expected_result.get("cost_distribution") == nullptr && got != nullptr) { + std::string why; + if (!same(curves[pi], *got, "cost_distribution", why)) { + fails.push_back(name + " " + where + ": the zero call's curve is not the cumulative one: " + why); + } + std::erase_if(actual.o, [](const auto& kv) { return kv.first == "cost_distribution"; }); + } + if (const J* c = expected_result.get("cost_distribution"); c != nullptr) curves[pi] = *c; + } + check(where, "result", expected_result, actual); + check(where, "trace", expect->at("trace"), trace_json(trace)); + check(where, "ledger", expect->at("ledger"), ledger_json(fg)); + check(where, "policy", expect->at("policy"), policy_json(pol)); + } + return fails; +} + +} // namespace + +TEST(PolicyFixtures, TheDataHoldsEveryPrototypeFixture) { + const J& d = data(); + EXPECT_EQ(d.at("format").s, "p2-fixtures/1"); + EXPECT_EQ(d.at("fixtures").a.size(), 59U); +} + +TEST(PolicyFixtures, EveryFixtureReplaysIdentically) { + const J& d = data(); + std::size_t ops = 0; + for (const auto& fx : d.at("fixtures").a) { + ops += fx.at("ops").a.size(); + const auto fails = replay(fx); + for (const auto& f : fails) ADD_FAILURE() << f; + } + EXPECT_GT(ops, 600U); +} + +// The comparison is not vacuous: a corrupted expectation is reported. +TEST(PolicyFixtures, ACorruptedExpectationFails) { + const J& d = data(); + std::size_t corrupted = 0; + std::size_t detected = 0; + for (const auto& fx : d.at("fixtures").a) { + for (std::size_t n = 0; n < fx.at("ops").a.size() && corrupted < 200; ++n) { + const J& op = fx.at("ops").a[n]; + if (op.at("op").s != "place" || op.at("error").b) continue; + for (const char* key : {"result", "trace", "ledger", "policy"}) { + J copy = fx; + J* ops = nullptr; + for (auto& [k, v] : copy.o) { + if (k == "ops") ops = &v; + } + J* exp = nullptr; + for (auto& [k, v] : ops->a[n].o) { + if (k == "expect") exp = &v; + } + for (auto& [k, v] : exp->o) { + if (k != key) continue; + // Corrupt the first integer field of this value. + std::function corrupt = [&](J& x) { + if (x.k == J::K::Int) { + x.i += 1; + return true; + } + for (auto& y : x.a) { + if (corrupt(y)) return true; + } + for (auto& [kk, y] : x.o) { + if (corrupt(y)) return true; + } + return false; + }; + if (!corrupt(v)) continue; + ++corrupted; + if (!replay(copy).empty()) ++detected; + } + } + break; // one placement per fixture + } + } + EXPECT_GT(corrupted, 100U); + EXPECT_EQ(detected, corrupted); +} + +#else + +// The replay reads the trace and sets the creation cap: without the private hooks it is skipped. +TEST(PolicyFixtures, TheDataHoldsEveryPrototypeFixture) { GTEST_SKIP() << "needs the private hooks"; } +TEST(PolicyFixtures, EveryFixtureReplaysIdentically) { GTEST_SKIP() << "needs the private hooks"; } +TEST(PolicyFixtures, ACorruptedExpectationFails) { GTEST_SKIP() << "needs the private hooks"; } + +#endif diff --git a/tests/cpp/flow_policy_tests.cpp b/tests/cpp/flow_policy_tests.cpp new file mode 100644 index 0000000..4bcce0d --- /dev/null +++ b/tests/cpp/flow_policy_tests.cpp @@ -0,0 +1,704 @@ +// The policy engine beyond prototype 2's fixtures (those replay in flow_policy_fixture_tests.cpp): +// configuration validation, the outputs, Global's empty roster, record bundles (sparse storage, +// sharing), the DagCache in building mode and the evaluators (capacity, batch_capacity, +// sensitivity) with workers (APPROACH 8 to 11). +#include + +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/dag_cache.hpp" +#include "netgraph/core/detail/kernels.hpp" +#include "netgraph/core/detail/ledger_access.hpp" +#include "netgraph/core/detail/policy_engine.hpp" +#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/detail/private_hooks.hpp" +#include "netgraph/core/detail/search.hpp" +#include "netgraph/core/evaluators.hpp" +#include "netgraph/core/flow_ledger.hpp" +#include "netgraph/core/flow_policy.hpp" +#include "test_utils.hpp" + +using namespace netgraph::core; +using namespace netgraph::core::test; + +namespace { + +std::shared_ptr shared(Graph g) { + return std::make_shared(std::move(g)); +} + +std::shared_ptr dag_of(const Graph& g, std::vector edges) { + return std::make_shared(detail::PredDAGBuilder::of_edges(g, edges)); +} + +PathSelection sel(EdgeTieBreak t = EdgeTieBreak::Deterministic, EdgePriority p = EdgePriority::Capacity, + bool multipath = true, bool multi_edge = true) { + return PathSelection(t, p, multipath, multi_edge); +} + +FlowPolicyConfig cfg(Routing r, FlowPlacement k, Admission a = Admission::Lossless, PathSelection s = sel()) { + return FlowPolicyConfig {std::move(r), k, a, s}; +} + +FlowPolicyConfig global_cfg() { return cfg(Global {}, FlowPlacement::MaxFlow); } + +std::string error_of(const std::function& fn) { + try { + fn(); + } catch (const std::invalid_argument& e) { + return e.what(); + } + return ""; +} + +bool contains(const std::string& s, const std::string& part) { return s.find(part) != std::string::npos; } + +std::vector edges_of(const PredDAG& dag) { + const auto e = detail::PredDAGBuilder::ascending(dag); + return {e.begin(), e.end()}; +} + +std::vector v(std::initializer_list x) { return x; } + +// Two disjoint routes 0 -> 1 -> 3 (caps a, cost 1) and 0 -> 2 -> 3 (caps b, cost c). B' ids: +// 0 = 0->1, 1 = 0->2, 2 = 1->3, 3 = 2->3. +std::shared_ptr diamond(Amount a, Amount b, Cost c = 1) { + return shared(make_graph(4, {{0, 1, a, 1}, {1, 3, a, 1}, {0, 2, b, c}, {2, 3, b, c}})); +} + +} // namespace + +TEST(FlowPolicyConfig, EveryRejectedCombinationBeforeBinding) { + auto g = diamond(5, 5); + FlowLedger fg(g); + auto rejects = [&](const FlowPolicyConfig& c, const std::string& part, std::vector s = {0}, + std::vector d = {3}) { + const auto msg = error_of([&] { FlowPolicy p(fg, s, d, c); }); + EXPECT_TRUE(contains(msg, part)) << "expected '" << part << "', got '" << msg << "'"; + EXPECT_TRUE(detail::LedgerAccess::bound_owners(fg).empty()); + }; + rejects(cfg(CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossy), "Lossy"); + rejects(cfg(CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, sel(EdgeTieBreak::Deterministic, EdgePriority::Headroom)), + "Headroom"); + rejects(cfg(Global {}, FlowPlacement::EqualBalanced), "Global routing requires placement = MaxFlow"); + rejects(cfg(Global {}, FlowPlacement::EqualBalanced, Admission::Lossy), "Lossy"); + rejects(cfg(CapacityAware {}, FlowPlacement::EqualBalanced, Admission::Lossy), "Lossy"); + CapacityAware ca; + ca.flow_count = 0; + rejects(cfg(ca, FlowPlacement::MaxFlow), "flow_count"); + ca = {}; + ca.flow_count = 3; + ca.max_flow_count = 2; + rejects(cfg(ca, FlowPlacement::MaxFlow), "max_flow_count"); + ca = {}; + ca.min_flow_bandwidth = -1; + rejects(cfg(ca, FlowPlacement::MaxFlow), "min_flow_bandwidth"); + ca = {}; + ca.max_path_cost = Absolute {-1}; + rejects(cfg(ca, FlowPlacement::MaxFlow), "Absolute"); + for (double f : {0.5, std::numeric_limits::quiet_NaN(), std::numeric_limits::infinity()}) { + ca = {}; + ca.max_path_cost = Stretch {f}; + rejects(cfg(ca, FlowPlacement::MaxFlow), "Stretch"); + } + ca = {}; + ca.diminishing = DiminishingReturns {0, 0.5}; + rejects(cfg(ca, FlowPlacement::MaxFlow), "window"); + for (double f : {0.0, 1.0, std::numeric_limits::quiet_NaN()}) { + ca = {}; + ca.diminishing = DiminishingReturns {1, f}; + rejects(cfg(ca, FlowPlacement::MaxFlow), "fraction"); + } + Pinned none; + rejects(cfg(none, FlowPlacement::MaxFlow), "empty bundle list"); + Pinned dup; + dup.bundles = {dag_of(*g, {0, 2}), dag_of(*g, {0, 2})}; + rejects(cfg(dup, FlowPlacement::MaxFlow), "duplicate bundle"); + Pinned malformed; + malformed.bundles = {dag_of(*g, {0, 3})}; + rejects(cfg(malformed, FlowPlacement::MaxFlow), "malformed bundle"); + Pinned ok; + ok.bundles = {dag_of(*g, {0, 2})}; + rejects(cfg(ok, FlowPlacement::MaxFlow), "single endpoints", {0, 1}, {3}); + auto other = diamond(5, 5); + Pinned foreign; + foreign.bundles = {dag_of(*other, {0, 2})}; + rejects(cfg(foreign, FlowPlacement::MaxFlow), "foreign PredDAG"); + rejects(cfg(CostOnly {}, FlowPlacement::MaxFlow), "both endpoint sets", {0, 3}, {3}); + rejects(cfg(CostOnly {}, FlowPlacement::MaxFlow), "empty", {}, {3}); + rejects(cfg(CostOnly {}, FlowPlacement::MaxFlow), "out of node range", {9}, {3}); + const auto el = other->eligibility({}, std::vector {0}); + EXPECT_TRUE(contains(error_of([&] { FlowPolicy p(fg, v({0}), v({3}), cfg(CostOnly {}, FlowPlacement::MaxFlow), &el); }), + "foreign Eligibility")); + DagCache foreign_cache(*other); + EXPECT_TRUE(contains(error_of([&] { + FlowPolicy p(fg, v({0}), v({3}), cfg(CostOnly {}, FlowPlacement::MaxFlow), nullptr, &foreign_cache); + }), + "foreign DagCache")); + EXPECT_TRUE(detail::LedgerAccess::bound_owners(fg).empty()); +} + +// Rule 13 at construction: PathSelection and FlowPolicyConfig reject a value outside its +// enumeration (here 99, reachable by a cast) with std::invalid_argument naming the field, in +// validate_config's order; a selection assigned out of its domain after its own construction is +// rejected by the configuration. Combinations are the consumers' (the next test). +TEST(FlowPolicyConfig, ConstructorsRejectEnumValuesOutsideTheirEnumeration) { + EXPECT_EQ(error_of([] { (void)PathSelection(static_cast(99), EdgePriority::Capacity); }), + "tie_break: 99 is not a value of EdgeTieBreak"); + EXPECT_EQ(error_of([] { (void)PathSelection(EdgeTieBreak::Deterministic, static_cast(99)); }), + "priority: 99 is not a value of EdgePriority"); + EXPECT_EQ(error_of([] { (void)PathSelection(static_cast(98), static_cast(99)); }), + "tie_break: 98 is not a value of EdgeTieBreak"); + const auto s = sel(); + EXPECT_EQ(error_of([&] { + (void)FlowPolicyConfig {CostOnly {}, static_cast(99), Admission::Lossless, s}; + }), + "placement: 99 is not a value of FlowPlacement"); + EXPECT_EQ(error_of([&] { + (void)FlowPolicyConfig {CostOnly {}, FlowPlacement::MaxFlow, static_cast(99), s}; + }), + "admission: 99 is not a value of Admission"); + auto tie = s; + tie.tie_break = static_cast(99); + auto priority = s; + priority.priority = static_cast(99); + EXPECT_EQ(error_of([&] { (void)FlowPolicyConfig {CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossless, tie}; }), + "selection.tie_break: 99 is not a value of EdgeTieBreak"); + EXPECT_EQ(error_of([&] { + (void)FlowPolicyConfig {CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossless, priority}; + }), + "selection.priority: 99 is not a value of EdgePriority"); + EXPECT_EQ(error_of([&] { + (void)FlowPolicyConfig {Global {}, static_cast(97), static_cast(98), tie}; + }), + "placement: 97 is not a value of FlowPlacement"); + EXPECT_EQ(error_of([&] { + (void)FlowPolicyConfig {Global {}, FlowPlacement::MaxFlow, static_cast(98), tie}; + }), + "admission: 98 is not a value of Admission"); + // Every value inside its enumeration constructs, whatever the combination (Global with + // Weighted and Lossy constructs; the policy rejects it). + for (auto t : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { + for (auto p : {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}) { + EXPECT_NO_THROW((void)PathSelection(t, p, false, false)); + for (auto k : {FlowPlacement::MaxFlow, FlowPlacement::Weighted, FlowPlacement::EqualBalanced}) { + for (auto a : {Admission::Lossless, Admission::Lossy}) { + EXPECT_NO_THROW((void)(FlowPolicyConfig {Global {}, k, a, PathSelection(t, p)})); + } + } + } + } +} + +// Rule 13 at every consuming entry: the fields stay assignable after construction, so a value +// outside its enumeration is a domain error named by its field, before any combination check, +// at every entry that takes the field; it never reaches a record. +TEST(FlowPolicyConfig, EnumValuesOutsideTheirEnumerationAreRejected) { + auto g = diamond(5, 5); + FlowLedger fg(g); + const auto bad_placement = static_cast(99); + const auto bad_admission = static_cast(99); + const auto bad_tie = static_cast(99); + const auto bad_priority = static_cast(99); + const auto bad_direction = static_cast(99); + auto tie_sel = sel(); + tie_sel.tie_break = bad_tie; + auto priority_sel = sel(); + priority_sel.priority = bad_priority; + Pinned pinned; + pinned.bundles = {dag_of(*g, {0, 2})}; + const std::vector modes = {CostOnly {}, CapacityAware {}, Global {}, pinned}; + struct Bad { + std::function make; + const char* field; + }; + // A valid configuration with one field assigned outside its enumeration. + const auto assigned = [](const Routing& r, const std::function& set) { + auto c = cfg(r, FlowPlacement::MaxFlow); + set(c); + return c; + }; + const std::vector bads = { + {[&](const Routing& r) { return assigned(r, [&](FlowPolicyConfig& c) { c.placement = bad_placement; }); }, + "placement: 99 is not a value of FlowPlacement"}, + {[&](const Routing& r) { return assigned(r, [&](FlowPolicyConfig& c) { c.admission = bad_admission; }); }, + "admission: 99 is not a value of Admission"}, + {[&](const Routing& r) { return assigned(r, [&](FlowPolicyConfig& c) { c.selection = tie_sel; }); }, + "selection.tie_break: 99 is not a value of EdgeTieBreak"}, + {[&](const Routing& r) { return assigned(r, [&](FlowPolicyConfig& c) { c.selection = priority_sel; }); }, + "selection.priority: 99 is not a value of EdgePriority"}, + }; + for (const auto& mode : modes) { + for (const auto& b : bads) { + const auto c = b.make(mode); + EXPECT_TRUE(contains(error_of([&] { FlowPolicy p(fg, v({0}), v({3}), c); }), b.field)) << b.field; + EXPECT_TRUE(detail::LedgerAccess::bound_owners(fg).empty()); + EXPECT_TRUE(fg.records().empty()); + CapacityOptions co {c}; + EXPECT_TRUE(contains(error_of([&] { (void)capacity(*g, v({0}), v({3}), co); }), b.field)) << b.field; + EXPECT_TRUE(contains(error_of([&] { (void)sensitivity(*g, v({0}), v({3}), SensitivityOptions {c}, 1); }), b.field)) + << b.field; + if (!std::holds_alternative(mode)) { + const std::vector, std::vector>> pairs = {{v({0}), v({3})}}; + EXPECT_TRUE(contains(error_of([&] { (void)batch_capacity(*g, pairs, co, {}, 1); }), b.field)) << b.field; + } + } + } + // The kernel check, the search and the cache's key. + EXPECT_TRUE(contains(error_of([&] { detail::check_kernel(bad_placement, Admission::Lossless, EdgePriority::Capacity); }), + "placement: 99")); + EXPECT_TRUE(contains(error_of([&] { detail::check_kernel(FlowPlacement::MaxFlow, bad_admission, EdgePriority::Capacity); }), + "admission: 99")); + EXPECT_TRUE(contains(error_of([&] { detail::check_kernel(FlowPlacement::MaxFlow, Admission::Lossless, bad_priority); }), + "priority: 99")); + EXPECT_TRUE(contains( + error_of([&] { (void)detail::spf(*g, v({0}), bad_direction, std::nullopt, sel(), std::nullopt, 1, nullptr); }), + "direction: 99 is not a value of Direction")); + EXPECT_TRUE(contains( + error_of([&] { (void)detail::spf(*g, v({0}), Direction::Forward, std::nullopt, tie_sel, std::nullopt, 1, nullptr); }), + "selection.tie_break: 99")); + EXPECT_TRUE(contains( + error_of([&] { (void)detail::spf(*g, v({0}), Direction::Forward, std::nullopt, priority_sel, std::nullopt, 1, nullptr); }), + "selection.priority: 99")); + DagCache cache(*g); + EXPECT_TRUE(contains(error_of([&] { (void)cache.lookup(*g, v({3}), bad_direction, nullptr); }), "direction: 99")); + const auto st = cache.stats(); + EXPECT_EQ(st.hits + st.misses + st.entries, 0); +} + +TEST(FlowPolicyRequests, ValidationPrecedesTheZeroShortcut) { + auto g = diamond(5, 5); + FlowLedger fg(g); + FlowPolicy p(fg, v({0}), v({3}), cfg(CostOnly {}, FlowPlacement::EqualBalanced)); + EXPECT_TRUE(contains(error_of([&] { (void)p.place(-1); }), "request")); + EXPECT_TRUE(contains(error_of([&] { (void)p.place(kDomainLimit); }), "request")); + EXPECT_EQ(p.place(std::nullopt).placed, 10); + EXPECT_TRUE(contains(error_of([&] { (void)p.place(1); }), "after +inf")); + EXPECT_TRUE(contains(error_of([&] { (void)p.place(0); }), "after +inf")); + p.remove(); + EXPECT_EQ(p.place(1).placed, 1); +} + +TEST(FlowPolicyOutputs, OwnAllocationLedgerResidualBottleneckAndGlobalCut) { + auto g = diamond(5, 3); + FlowLedger fg(g); + // A third party holds one unit of the first route. + Pinned third; + third.bundles = {dag_of(*g, {0, 2})}; + FlowPolicy other(fg, v({0}), v({3}), cfg(third, FlowPlacement::MaxFlow)); + ASSERT_EQ(other.place(1).placed, 1); + FlowPolicy p(fg, v({0}), v({3}), cfg(CostOnly {}, FlowPlacement::EqualBalanced)); + const OutputOptions all {true, true, true}; + auto r = p.place(4, all); + ASSERT_TRUE(r.edge_flows && r.residual && r.bottleneck); + EXPECT_FALSE(r.min_cut.has_value()); // not Global + EXPECT_FALSE(r.cost_distribution.has_value()); + std::vector own(4, 0); + for (const auto& rec : p.records()) { + for (const auto& [e, x] : rec.edges) own[static_cast(e)] += x; + } + EXPECT_EQ(*r.edge_flows, own); + EXPECT_EQ(*r.residual, fg.residual()); + EXPECT_EQ(*r.bottleneck, fg.bottleneck(v({0}))); + // Nothing requested: absent. + r = p.place(1); + EXPECT_FALSE(r.edge_flows || r.residual || r.bottleneck || r.min_cut); + // Global: the curve always, min_cut with bottleneck when the solve is maximal (at +inf; none + // under a cap of 2 below the maximum 8, which leaves a residual path). + FlowLedger fg2(g); + FlowPolicy gl(fg2, v({0}), v({3}), global_cfg()); + r = gl.place(2, OutputOptions {false, false, true}); + ASSERT_TRUE(r.cost_distribution.has_value()); + EXPECT_EQ(*r.cost_distribution, curve({{2, 2}})); + EXPECT_LT(gl.placed_demand(), 8); + EXPECT_FALSE(r.min_cut.has_value()); + r = gl.place(std::nullopt, OutputOptions {false, false, true}); + EXPECT_EQ(r.placed, 6); + ASSERT_TRUE(r.min_cut.has_value()); + EXPECT_EQ(r.min_cut->size(), 2U); +} + +TEST(FlowPolicyGlobal, EmptyRosterReportsAnEmptyCurveAndAnEmptyCut) { + // No source reaches the destination: the maximum flow is 0 and maximal (APPROACH 2.2). + auto g = shared(make_graph(3, {{0, 1, 5, 1}})); + FlowLedger fg(g); + FlowPolicy p(fg, v({0}), v({2}), global_cfg()); + auto r = p.place(std::nullopt, OutputOptions {false, false, true}); + EXPECT_EQ(r.termination, Termination::NoRoute); + ASSERT_TRUE(r.cost_distribution.has_value()); + EXPECT_TRUE(r.cost_distribution->empty()); + ASSERT_TRUE(r.min_cut.has_value()); + EXPECT_TRUE(r.min_cut->empty()); + EXPECT_TRUE(p.records().empty()); + // The zero request is a no-op: no solve, no cut; the cumulative curve is empty. + FlowPolicy q(fg, v({1}), v({2}), global_cfg()); + r = q.place(0, OutputOptions {false, false, true}); + EXPECT_FALSE(r.min_cut.has_value()); + ASSERT_TRUE(r.cost_distribution.has_value()); + EXPECT_TRUE(r.cost_distribution->empty()); +} + +// A Global zero call reports the cumulative curve (9.1: its amounts sum to placed_demand(); +// empty before the first placement and after remove()) and changes nothing; it solves nothing, +// so it claims no cut (review-1c F5). +TEST(FlowPolicyGlobal, ZeroCallReportsTheCumulativeCurve) { + using Curve = std::vector>; + auto g = shared(make_graph(3, {{0, 1, 3, 7}, {0, 2, 4, 1}, {2, 1, 4, 1}})); + FlowLedger fg(g); + FlowPolicy p(fg, v({0}), v({1}), global_cfg()); + auto z = p.place(0); + ASSERT_TRUE(z.cost_distribution.has_value()); + EXPECT_TRUE(z.cost_distribution->empty()); + auto r = p.place(5); + EXPECT_EQ(*r.cost_distribution, (Curve {{2, 4}, {7, 1}})); + const auto allocated = fg.allocated(); + const auto requested = detail::PolicyAccess::engine(p).requested; + z = p.place(0, OutputOptions {true, true, true}); + EXPECT_EQ(z.placed, 0); + EXPECT_EQ(*z.cost_distribution, *r.cost_distribution); + EXPECT_FALSE(z.min_cut.has_value()); + EXPECT_EQ(fg.allocated(), allocated); + EXPECT_EQ(detail::PolicyAccess::engine(p).requested, requested); + r = p.place(1); // cumulative 6: the solve's curve on V = W + own + EXPECT_EQ(*r.cost_distribution, (Curve {{2, 4}, {7, 2}})); + z = p.place(0); + EXPECT_EQ(*z.cost_distribution, *r.cost_distribution); + Amount sum = 0; + for (const auto& [c, x] : *z.cost_distribution) sum += x; + EXPECT_EQ(sum, p.placed_demand()); + p.remove(); + z = p.place(0); + ASSERT_TRUE(z.cost_distribution.has_value()); + EXPECT_TRUE(z.cost_distribution->empty()); +} + +TEST(FlowPolicyRecords, BundlesAreSharedOrSparse) { + auto g = diamond(5, 5); + FlowLedger fg(g); + const auto whole = dag_of(*g, {0, 1, 2, 3}); + Pinned pin; + pin.bundles = {whole}; + FlowPolicy p(fg, v({0}), v({3}), cfg(pin, FlowPlacement::EqualBalanced)); + (void)p.place(2); + // An unchanged supplied bundle is shared by the record (no copy). + EXPECT_EQ(p.records().front().bundle.get(), whole.get()); + // A pruned bundle is a new DAG of the usable route. + const auto el = g->eligibility({}, std::vector {2}); + FlowLedger fg2(g); + FlowPolicy q(fg2, v({0}), v({3}), cfg(pin, FlowPlacement::EqualBalanced), &el); + (void)q.place(2); + const auto rec = q.records().front(); + EXPECT_NE(rec.bundle.get(), whole.get()); + EXPECT_EQ(edges_of(*rec.bundle), (std::vector {1, 3})); + EXPECT_EQ(q.usable_bundles(), 1); + // CostOnly: a source whose route is the whole cached support shares it. + DagCache cache(*g); + FlowLedger fg3(g); + FlowPolicy c(fg3, v({0}), v({3}), cfg(CostOnly {}, FlowPlacement::EqualBalanced), nullptr, &cache); + (void)c.place(2); + const auto support = cache.lookup(*g, v({3}), Direction::Reverse, nullptr); + EXPECT_EQ(c.records().front().bundle.get(), support.get()); +} + +TEST(PredDAGStorage, ABundleCostsItsEntriesNotTheGraph) { + const std::int32_t n = 1'000'000; + auto g = shared(make_graph(n, {{n - 3, n - 2, 4, 1}, {n - 2, n - 1, 4, 1}})); + const auto dag = dag_of(*g, {0, 1}); + EXPECT_LT(detail::PredDAGBuilder::payload_bytes(*dag), 128U); // two entries, not N + 1 offsets + const auto off = dag->parent_offsets(); // the from_csr shape, on demand + ASSERT_EQ(off.size(), static_cast(n) + 1); + EXPECT_EQ(off[static_cast(n) - 2], 0); + EXPECT_EQ(off[static_cast(n) - 1], 1); + EXPECT_EQ(off[static_cast(n)], 2); + EXPECT_TRUE(PredDAG::from_csr(*g, off, dag->parents(), dag->via_edges()) == *dag); + FlowLedger fg(g); + Pinned pin; + pin.bundles = {dag}; + FlowPolicy p(fg, v({n - 3}), v({n - 1}), cfg(pin, FlowPlacement::MaxFlow)); + EXPECT_EQ(p.place(3).placed, 3); + EXPECT_LT(detail::PredDAGBuilder::payload_bytes(*p.records().front().bundle), 128U); +} + +TEST(DagCache, KeyStatisticsAndTheBuildingTransitions) { + auto g = diamond(5, 5); + DagCache cache(*g); + EXPECT_EQ(cache.stats().entries, 0); + // Two CostOnly policies differing only in selection share one entry (selection is a + // projection at creation, never part of the key). + FlowLedger fg(g); + FlowPolicy a(fg, v({0}), v({3}), cfg(CostOnly {}, FlowPlacement::EqualBalanced), nullptr, &cache); + FlowPolicy b(fg, v({0}), v({3}), + cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, + sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, false)), + nullptr, &cache); + auto s = cache.stats(); + EXPECT_EQ(s.misses, 1); + EXPECT_EQ(s.hits, 1); + EXPECT_EQ(s.entries, 1); + EXPECT_GT(s.bytes, 0); + // The key: roots as a set, the direction, the Eligibility uid. + const auto x = cache.lookup(*g, v({3, 3}), Direction::Reverse, nullptr); + EXPECT_EQ(cache.stats().hits, 2); + (void)cache.lookup(*g, v({3}), Direction::Forward, nullptr); + const auto el = g->eligibility({}, std::vector {0}); + const auto y = cache.lookup(*g, v({3}), Direction::Reverse, &el); + s = cache.stats(); + EXPECT_EQ(s.misses, 3); + EXPECT_EQ(s.entries, 3); + EXPECT_EQ(edges_of(*y), (std::vector {1, 2, 3})); // the static support under el (no 0 -> 1) + EXPECT_EQ(edges_of(*x), (std::vector {0, 1, 2, 3})); + // Invalid queries throw and count nothing. + auto other = diamond(5, 5); + EXPECT_THROW((void)cache.lookup(*other, v({3}), Direction::Reverse, nullptr), std::invalid_argument); + const auto foreign = other->eligibility({}, std::vector {0}); + EXPECT_THROW((void)cache.lookup(*g, v({3}), Direction::Reverse, &foreign), std::invalid_argument); + EXPECT_THROW((void)cache.lookup(*g, v({9}), Direction::Reverse, nullptr), std::invalid_argument); + EXPECT_THROW((void)cache.lookup(*g, std::vector {}, Direction::Reverse, nullptr), std::invalid_argument); + EXPECT_EQ(cache.stats().misses, 3); + EXPECT_EQ(cache.stats().hits, 2); + // clear(): empties, counters persist, held values stay valid and alive. + const auto held = x; + EXPECT_EQ(cache.stats().live_values, 3); + cache.clear(); + s = cache.stats(); + EXPECT_EQ(s.entries, 0); + EXPECT_EQ(s.bytes, 0); + EXPECT_EQ(s.hits, 2); + EXPECT_EQ(s.misses, 3); + EXPECT_EQ(s.live_values, 2); // x (= held) and y; the Forward entry died with the clear + EXPECT_EQ(edges_of(*held), (std::vector {0, 1, 2, 3})); + // After clear() a lookup misses and inserts again. + (void)cache.lookup(*g, v({3}), Direction::Reverse, nullptr); + EXPECT_EQ(cache.stats().misses, 4); +} + +TEST(DagCache, ValuesOutliveTheCache) { + auto g = diamond(5, 5); + std::shared_ptr v1; + { + DagCache cache(*g); + v1 = cache.lookup(*g, v({3}), Direction::Reverse, nullptr); + } + EXPECT_EQ(edges_of(*v1), (std::vector {0, 1, 2, 3})); +} + +TEST(Evaluators, CapacityIsPlaceInfOnAFreshLedger) { + auto g = diamond(5, 3, 2); + for (const auto& c : {global_cfg(), cfg(CostOnly {}, FlowPlacement::EqualBalanced), + cfg(CapacityAware {.flow_count = 2, .max_flow_count = 4}, FlowPlacement::MaxFlow)}) { + const auto r = capacity(*g, v({0}), v({3}), CapacityOptions {c, nullptr, nullptr, OutputOptions {true, true, true}}); + FlowLedger fg(g); + FlowPolicy p(fg, v({0}), v({3}), c); + const auto want = p.place(std::nullopt, OutputOptions {true, true, true}); + EXPECT_EQ(r.placed, want.placed); + EXPECT_EQ(r.termination, want.termination); + EXPECT_EQ(r.edge_flows, want.edge_flows); + EXPECT_EQ(r.residual, want.residual); + EXPECT_EQ(r.bottleneck, want.bottleneck); + EXPECT_EQ(r.min_cut, want.min_cut); + EXPECT_EQ(r.cost_distribution, want.cost_distribution); + } + // The exact maximum flow: Global's curve (cheapest walks first). + const auto exact = capacity(*g, v({0}), v({3}), CapacityOptions {global_cfg()}); + EXPECT_EQ(exact.placed, 8); + EXPECT_EQ(*exact.cost_distribution, curve({{2, 5}, {4, 3}})); +} + +TEST(Evaluators, BatchOrderIntersectionsExceptionsAndWorkers) { + auto g = diamond(5, 3); + const auto common = g->eligibility({}, std::vector {3}); // route 2's last edge + const auto first_route = g->eligibility({}, std::vector {0}); // route 1's first edge + std::vector, std::vector>> pairs = { + {{0}, {3}}, {{0}, {3}}, {{1}, {3}}, {{0}, {1, 2}}}; + const std::vector per = {nullptr, &first_route, nullptr, nullptr}; + const CapacityOptions opts {global_cfg(), &common}; + const auto r1 = batch_capacity(*g, pairs, opts, per, 1); + ASSERT_EQ(r1.size(), 4U); + EXPECT_EQ(r1[0].placed, 5); // common only: route 1 + EXPECT_EQ(r1[1].placed, 0); // common and the pair's: both routes cut + EXPECT_EQ(r1[2].placed, 5); + EXPECT_EQ(r1[3].placed, 8); // destination set {1, 2}: both first edges (edge 3 excluded is past 2) + for (std::int32_t w : {2, 3, 8}) { + const auto rw = batch_capacity(*g, pairs, opts, per, w); + ASSERT_EQ(rw.size(), 4U); + for (std::size_t i = 0; i < 4; ++i) EXPECT_EQ(rw[i].placed, r1[i].placed) << "workers " << w << " pair " << i; + } + EXPECT_TRUE(batch_capacity(*g, {}, opts, {}, 4).empty()); + // Validation before any worker: endpoints, lengths, foreign values, Pinned, workers, the + // building cache's one writer. + auto bad = pairs; + bad[2].second = {9}; + EXPECT_THROW((void)batch_capacity(*g, bad, opts, per, 4), std::invalid_argument); + bad = pairs; + bad[1].first = {3}; + EXPECT_TRUE(contains(error_of([&] { (void)batch_capacity(*g, bad, opts, per, 4); }), "both endpoint sets")); + EXPECT_THROW((void)batch_capacity(*g, pairs, opts, std::vector {nullptr}, 1), std::invalid_argument); + auto other = diamond(5, 3); + const auto foreign = other->eligibility({}, std::vector {0}); + const std::vector per_foreign = {nullptr, &foreign, nullptr, nullptr}; + EXPECT_TRUE(contains(error_of([&] { (void)batch_capacity(*g, pairs, opts, per_foreign, 1); }), "foreign")); + Pinned pin; + pin.bundles = {dag_of(*g, {0, 2})}; + EXPECT_TRUE(contains(error_of([&] { (void)batch_capacity(*g, pairs, CapacityOptions {cfg(pin, FlowPlacement::MaxFlow)}, {}, 1); }), + "Pinned")); + EXPECT_TRUE(contains(error_of([&] { (void)batch_capacity(*g, pairs, opts, per, 0); }), "workers")); + DagCache cache(*g); + const CapacityOptions with_cache {cfg(CostOnly {}, FlowPlacement::EqualBalanced), nullptr, &cache}; + EXPECT_TRUE(contains(error_of([&] { (void)batch_capacity(*g, pairs, with_cache, {}, 2); }), "workers == 1")); + const auto cached = batch_capacity(*g, pairs, with_cache, {}, 1); + EXPECT_EQ(cache.stats().misses, 2); // destination sets {3} and {1, 2} + EXPECT_EQ(cache.stats().hits, 2); + EXPECT_EQ(cached[0].placed, 7); // CostOnly EB over routes of 5 and 3: [4, 3] (odd unit to the lower id) +} + +TEST(Evaluators, BatchValidatesInPairOrderBeforeAnyWorker) { + // Two invalid pairs (1 and 3): the batch raises pair 1's error before any worker starts. + auto g = diamond(5, 3); + std::vector, std::vector>> pairs = { + {{0}, {3}}, {{0}, {7}}, {{0}, {3}}, {{0}, {8}}}; + const auto msg = error_of([&] { (void)batch_capacity(*g, pairs, CapacityOptions {global_cfg()}, {}, 4); }); + EXPECT_TRUE(contains(msg, "node 7")) << msg; +} + +// The sensitivity shortcuts (Global from the baseline's maximum flow, CostOnly without a +// re-evaluation of the edges outside the baseline's routes) give the losses of the definition, +// the baseline's placed amount minus capacity() with the edge excluded, on random graphs with +// parallel edges, self-loops, dispersed costs, zero capacities, endpoint sets, eligibility +// masks and every CostOnly kernel, admission and selection. +TEST(Evaluators, SensitivityEqualsTheDefinitionOnRandomGraphs) { + std::mt19937 rng(20261005); + auto pick = [&](int n) { return static_cast(rng() % static_cast(n)); }; + std::vector configs = {global_cfg()}; + for (auto k : {FlowPlacement::MaxFlow, FlowPlacement::EqualBalanced, FlowPlacement::Weighted}) { + for (bool multipath : {true, false}) { + for (bool multi_edge : {true, false}) { + for (auto t : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { + configs.push_back(cfg(CostOnly {}, k, Admission::Lossless, sel(t, EdgePriority::Capacity, multipath, multi_edge))); + } + } + } + } + configs.push_back(cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy)); + configs.push_back(cfg(CostOnly {}, FlowPlacement::Weighted, Admission::Lossy, sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, false))); + int entries = 0; + int global_losses = 0; + int policy_losses = 0; + int policy_zero = 0; + for (int trial = 0; trial < 60; ++trial) { + const int n = 4 + pick(7); + std::vector es; + for (int k = 0, m = n + pick(3 * n); k < m; ++k) { + es.push_back({pick(n), pick(n), pick(5) == 0 ? 0 : 1 + pick(9), static_cast(1 + pick(4))}); + } + auto g = shared(make_graph(n, es)); + std::vector s = {0}; + std::vector t = {n - 1}; + if (pick(2) == 0) s.push_back(1); + if (pick(2) == 0) t.push_back(n - 2); + std::vector xn; + std::vector xe; + if (pick(3) == 0) xn.push_back(static_cast(2 + pick(n - 4 > 0 ? n - 4 : 1))); + if (pick(2) == 0) xe.push_back(static_cast(pick(static_cast(es.size())))); + const auto mask = g->eligibility(xn, xe); + const Eligibility* elig = pick(2) == 0 ? &mask : nullptr; + for (const auto& c : configs) { + const bool global = std::holds_alternative(c.routing); + const auto r = sensitivity(*g, s, t, SensitivityOptions {c, elig}, 1 + pick(3)); + for (const auto& e : r.entries) { + ASSERT_EQ(e.status, SensitivityStatus::Evaluated); + const EdgeId one[1] = {e.edge}; + auto deleted = g->eligibility({}, one); + if (elig != nullptr) deleted = Eligibility::intersect(*elig, deleted); + const Amount want = r.baseline.placed - capacity(*g, s, t, CapacityOptions {c, &deleted}).placed; + ASSERT_EQ(*e.loss, want) << "trial " << trial << " edge " << e.edge << (global ? " Global" : " CostOnly"); + ++entries; + if (want != 0) ++(global ? global_losses : policy_losses); + if (!global && want == 0) ++policy_zero; + } + } + } + // Not vacuous: many entries, losses under both models and zero-loss CostOnly deletions. + EXPECT_GT(entries, 3000); + EXPECT_GT(global_losses, 100); + EXPECT_GT(policy_losses, 500); + EXPECT_GT(policy_zero, 500); +} + +TEST(Evaluators, SensitivityCandidatesSignedLossesAndUnevaluable) { + // Global: candidates are the baseline's positive-flow edges; an unsaturated critical edge + // appears (rule 1): 0 -> 1 of capacity 9 carries 4 (its tail 1 -> 2 holds 4) and its deletion + // loses 4; the saturated-only candidate set of 0.12 missed it. + auto g = shared(make_graph(3, {{0, 1, 9, 1}, {1, 2, 4, 1}, {0, 2, 2, 5}})); + auto s = sensitivity(*g, v({0}), v({2}), SensitivityOptions {global_cfg()}, 1); + EXPECT_EQ(s.baseline.placed, 6); + EXPECT_FALSE(s.baseline.edge_flows.has_value()); // requested internally, not returned + std::map losses; + for (const auto& e : s.entries) { + EXPECT_EQ(e.status, SensitivityStatus::Evaluated); + losses[e.edge] = *e.loss; + } + const auto inv = id_of_input(*g); + EXPECT_EQ(losses.at(inv[0]), 4); // unsaturated (4 of 9) and critical + EXPECT_EQ(losses.at(inv[1]), 4); + EXPECT_EQ(losses.at(inv[2]), 2); + EXPECT_EQ(losses.size(), 3U); + // A policy model: every allowed edge of >= 1 unit; a loss can be negative (EqualBalanced over + // parallel links of 1 and 10 delivers 2; without the thin link it delivers 10). + auto p = shared(make_graph(2, {{0, 1, 1, 1}, {0, 1, 10, 1}, {0, 1, 0, 1}})); + const auto opts = SensitivityOptions {cfg(CostOnly {}, FlowPlacement::EqualBalanced)}; + s = sensitivity(*p, v({0}), v({1}), opts, 1); + EXPECT_EQ(s.baseline.placed, 2); + ASSERT_EQ(s.entries.size(), 2U); // the zero-capacity link is absent (loss zero) + const auto pin = id_of_input(*p); + for (const auto& e : s.entries) { + if (e.edge == pin[0]) EXPECT_EQ(*e.loss, -8); + if (e.edge == pin[1]) EXPECT_EQ(*e.loss, 1); + } + // Workers give the same entries; an excluded edge is no candidate. + const auto s4 = sensitivity(*p, v({0}), v({1}), opts, 4); + ASSERT_EQ(s4.entries.size(), s.entries.size()); + for (std::size_t i = 0; i < s.entries.size(); ++i) EXPECT_EQ(s4.entries[i].loss, s.entries[i].loss); + const auto el = p->eligibility({}, std::vector {pin[0]}); + const auto se = sensitivity(*p, v({0}), v({1}), SensitivityOptions {opts.cfg, &el}, 1); + ASSERT_EQ(se.entries.size(), 1U); + EXPECT_EQ(se.entries[0].edge, pin[1]); + // Invalid inputs propagate (before any worker). + EXPECT_THROW((void)sensitivity(*p, v({0}), v({0}), opts, 1), std::invalid_argument); + DagCache cache(*p); + EXPECT_THROW((void)sensitivity(*p, v({0}), v({1}), SensitivityOptions {opts.cfg, nullptr, &cache}, 2), + std::invalid_argument); + EXPECT_EQ(sensitivity(*p, v({0}), v({1}), SensitivityOptions {opts.cfg, nullptr, &cache}, 1).entries.size(), 2U); +} + +// A deletion raising a model exception is unevaluable with its message, not raised (rule 1). No +// valid configuration raises under a deletion, so the private hook injects one. +TEST(Evaluators, SensitivityReportsAModelExceptionAsUnevaluable) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + auto p = shared(make_graph(2, {{0, 1, 1, 1}, {0, 1, 10, 1}, {0, 1, 0, 1}})); + const auto opts = SensitivityOptions {cfg(CostOnly {}, FlowPlacement::EqualBalanced)}; + const auto pin = id_of_input(*p); + detail::sensitivity_fail_edge().store(pin[1]); + const auto su = sensitivity(*p, v({0}), v({1}), opts, 2); + detail::sensitivity_fail_edge().store(-1); + ASSERT_EQ(su.entries.size(), 2U); + for (const auto& e : su.entries) { + if (e.edge == pin[1]) { + EXPECT_EQ(e.status, SensitivityStatus::Unevaluable); + EXPECT_FALSE(e.loss.has_value()); + EXPECT_TRUE(contains(e.reason, "injected model exception")); + } else { + EXPECT_EQ(e.status, SensitivityStatus::Evaluated); + } + } +#else + GTEST_SKIP() << "needs the private hooks (NETGRAPH_CORE_PRIVATE_HOOKS)"; +#endif +} diff --git a/tests/cpp/strict_multidigraph_tests.cpp b/tests/cpp/graph_tests.cpp similarity index 97% rename from tests/cpp/strict_multidigraph_tests.cpp rename to tests/cpp/graph_tests.cpp index b68c164..ee30dc0 100644 --- a/tests/cpp/strict_multidigraph_tests.cpp +++ b/tests/cpp/graph_tests.cpp @@ -10,7 +10,7 @@ #include #include -#include "netgraph/core/strict_multidigraph.hpp" +#include "netgraph/core/graph.hpp" #include "test_utils.hpp" using namespace netgraph::core; @@ -31,9 +31,9 @@ std::string error_of(F&& fn) { return ""; } -StrictMultiDiGraph build(std::int32_t n, std::vector src, std::vector dst, std::vector cap, - std::vector cost, double q = 1.0) { - return StrictMultiDiGraph(n, src, dst, cap, cost, q); +Graph build(std::int32_t n, std::vector src, std::vector dst, std::vector cap, + std::vector cost, double q = 1.0) { + return Graph(n, src, dst, cap, cost, q); } bool contains(const std::string& s, const std::string& part) { return s.find(part) != std::string::npos; } @@ -143,7 +143,7 @@ TEST(Graph, ExactUnitsAboveTwo53) { TEST(Graph, CopyIsANewGraph) { auto g = make_graph(3, {{0, 2, 4, 2}, {0, 1, 3, 1}}); - StrictMultiDiGraph c(g); + Graph c(g); EXPECT_NE(c.uid(), g.uid()); EXPECT_EQ(std::vector(c.input_index().begin(), c.input_index().end()), std::vector(g.input_index().begin(), g.input_index().end())); diff --git a/tests/cpp/kernels_tests.cpp b/tests/cpp/kernels_tests.cpp index 5687699..81c68c2 100644 --- a/tests/cpp/kernels_tests.cpp +++ b/tests/cpp/kernels_tests.cpp @@ -74,33 +74,38 @@ std::vector on_members(const KernelPlan& plan, const std::vector } // A member-aligned allocation as a dense per-edge array in input coordinates. -std::vector dense_input(const StrictMultiDiGraph& g, const KernelPlan& plan, const std::vector& alloc_m) { +std::vector dense_input(const Graph& g, const KernelPlan& plan, const std::vector& alloc_m) { std::vector by_id(static_cast(g.num_edges()), 0); for (std::size_t m = 0; m < plan.members.size(); ++m) by_id[static_cast(plan.members[m])] = alloc_m[m]; return to_input(g, by_id); } -std::vector all_ids(const StrictMultiDiGraph& g) { +std::vector all_ids(const Graph& g) { std::vector out(static_cast(g.num_edges())); std::iota(out.begin(), out.end(), 0); return out; } -KernelPlan plan_of(const StrictMultiDiGraph& g, FlowPlacement p, NodeId src, std::vector dsts, +KernelPlan plan_of(const Graph& g, FlowPlacement p, NodeId src, std::vector dsts, std::vector route, const std::vector& view, EdgePriority prio = EdgePriority::Residual, Admission adm = Admission::Lossless) { std::sort(route.begin(), route.end()); std::vector on_route; // the creation view is route-aligned for (EdgeId e : route) on_route.push_back(view[static_cast(e)]); - return make_plan(g, p, adm, prio, src, dsts, route, on_route); + return make_plan(g, p, adm, prio, src, dsts, PredDAGBuilder::of_edges(g, route), on_route); } -std::vector caps(const StrictMultiDiGraph& g) { +// The route cost of a plan's route (its record's bundle). +Cost cost_of(const Graph& g, const KernelPlan& plan) { + return route_cost(g, PredDAGBuilder::of_edges(g, plan.route), plan.src, plan.dsts); +} + +std::vector caps(const Graph& g) { return std::vector(g.capacity_units().begin(), g.capacity_units().end()); } // One Lossless step on a fresh flow at T = 0. -LosslessStep first_step(const StrictMultiDiGraph& g, const KernelPlan& plan, const std::vector& view, +LosslessStep first_step(const Graph& g, const KernelPlan& plan, const std::vector& view, std::optional request) { const auto v = on_members(plan, view); const std::vector own(plan.members.size(), 0); @@ -122,6 +127,39 @@ TEST(Apportion, RoundRobinAndReviewValues) { EXPECT_EQ(ha(7, {1, 3, 3}), (std::vector{1, 3, 3})); } +// The callback form hands out the span form's shares (positive ones only, in index order) and +// stops at the first share its callback refuses. +TEST(Apportion, RoundRobinCallbackFormEqualsSpanFormAndStopsEarly) { + for (Amount total : {Amount {0}, Amount {1}, Amount {2}, Amount {7}, Amount {23}, kDomainLimit - 1}) { + for (std::size_t k : {std::size_t {1}, std::size_t {3}, std::size_t {4}, std::size_t {8}}) { + std::vector span_out(k); + const std::size_t n = round_robin(total, span_out); + std::vector cb_out(k); + std::vector visited; + const std::size_t m = round_robin(total, k, [&](std::size_t i, Amount x) { + visited.push_back(i); + cb_out[i] = x; + return x > 0; + }); + std::vector leading(total < static_cast(k) ? static_cast(total) : k); + std::iota(leading.begin(), leading.end(), std::size_t {0}); + EXPECT_EQ(n, leading.size()) << total << " over " << k; + EXPECT_EQ(m, n) << total << " over " << k; + EXPECT_EQ(visited, leading) << total << " over " << k; + EXPECT_EQ(cb_out, span_out) << total << " over " << k; + } + } + // 7 over 3 is {3, 2, 2}: refusing the share at index 1 returns 1 and visits nothing after it. + std::vector seen; + const std::size_t stop = round_robin(7, 3, [&](std::size_t i, Amount x) { + seen.push_back(i); + return x > 2; + }); + EXPECT_EQ(stop, 1u); + EXPECT_EQ(seen, (std::vector{0, 1})); + EXPECT_EQ(round_robin(7, 3, [](std::size_t, Amount) { return false; }), 0u); +} + TEST(Apportion, ClosedFormEqualsSequentialAndIsHouseMonotone) { std::mt19937 rng(7); int cases = 0; @@ -252,20 +290,23 @@ TEST(Plans, SplitGraphPruning) { std::vector want2 = {inv2[0], inv2[2]}; // 1->2 leaves destination 1; 2->3 leaves 2 std::sort(want2.begin(), want2.end()); EXPECT_EQ(any.members, want2); - EXPECT_EQ(route_cost(g2, any), 1); + EXPECT_EQ(cost_of(g2, any), 1); // An empty split graph: route cost unreachable, T_max 0. auto none = plan_of(g, FlowPlacement::EqualBalanced, 0, {3}, std::vector {inv[1], inv[3]}, caps(g)); EXPECT_TRUE(none.members.empty()); - EXPECT_EQ(route_cost(g, none), kUnreachable); + EXPECT_EQ(cost_of(g, none), kUnreachable); EXPECT_EQ(t_max(none, {}).value, 0); } -TEST(Plans, RoutePlanOnTheDagEqualsTheEdgeListPlan) { - // make_route_plan walks the bundle's own predecessor lists; make_plan prunes an ascending edge - // list. On random DAGs (parallel edges, zero capacities, statically excluded edges and nodes, - // edges into the source and out of a destination, one or two destinations) both give the same - // split graph (members, topological structure, weights), the same route cost and the same - // allocations. +TEST(Plans, SplitGraphEqualsTheWalkDefinition) { + // On random DAGs (parallel edges, zero capacities, statically excluded edges and nodes, edges + // into the source and out of a destination, one or two destinations) the split graph of a + // bundle is, by definition, the usable edges (capacity >= 1 unit, allowed) on some walk from + // the source to a destination that enters no destination before its end: the members equal an + // independent reachability computation, the route cost equals an independent shortest walk, + // the topological structure orders every member's tail before its head, and an allocation + // conserves its total. make_plan on the DAG of the usable edges gives the same plan as + // make_route_plan filtering the bundle (the two entry points of the one builder). std::mt19937 rng(2024); int compared = 0; for (int trial = 0; trial < 2000; ++trial) { @@ -284,7 +325,7 @@ TEST(Plans, RoutePlanOnTheDagEqualsTheEdgeListPlan) { for (EdgeId e : all) { if ((rng() % 5) != 0) in_bundle.push_back(e); } - const auto bundle = PredDAGBuilder::from_edges(g, in_bundle); + const auto bundle = PredDAGBuilder::of_edges(g, in_bundle); const NodeId src = static_cast(rng() % static_cast(n)); std::vector dsts; for (int k = 0; k < 1 + static_cast(rng() % 2); ++k) { @@ -304,34 +345,102 @@ TEST(Plans, RoutePlanOnTheDagEqualsTheEdgeListPlan) { elig = g.eligibility(xn, xe); } const auto capacity = g.capacity_units(); + const auto edge_src = g.edge_src(); + const auto edge_dst = g.edge_dst(); + const auto cost = g.cost(); std::vector usable; for (EdgeId e : PredDAGBuilder::ascending(bundle)) { if (capacity[static_cast(e)] >= 1 && (!elig || elig->edge_ok(e))) usable.push_back(e); } + // The definition: forward from src and backward from the destinations over the usable edges + // that leave no destination, by fixpoint; the shortest walk by Bellman-Ford over the same. + std::vector is_dst(static_cast(n), 0); + for (NodeId d : dsts) is_dst[static_cast(d)] = 1; + std::vector open; + for (EdgeId e : usable) { + if (is_dst[static_cast(edge_src[static_cast(e)])] == 0) open.push_back(e); + } + std::vector fwd(static_cast(n), 0), bwd(static_cast(n), 0); + fwd[static_cast(src)] = 1; + for (NodeId d : dsts) bwd[static_cast(d)] = 1; + std::vector dist(static_cast(n), kUnreachable); + dist[static_cast(src)] = 0; + for (int round = 0; round < n; ++round) { + for (EdgeId e : open) { + const auto u = static_cast(edge_src[static_cast(e)]); + const auto v = static_cast(edge_dst[static_cast(e)]); + if (fwd[u] != 0) fwd[v] = 1; + if (bwd[v] != 0) bwd[u] = 1; + if (dist[u] != kUnreachable) dist[v] = std::min(dist[v], dist[u] + cost[static_cast(e)]); + } + } + std::vector want; + for (EdgeId e : open) { + if (fwd[static_cast(edge_src[static_cast(e)])] != 0 && + bwd[static_cast(edge_dst[static_cast(e)])] != 0) { + want.push_back(e); + } + } + Cost want_cost = kUnreachable; + if (!want.empty()) { + for (NodeId d : dsts) want_cost = std::min(want_cost, dist[static_cast(d)]); + } + const auto usable_dag = PredDAGBuilder::of_edges(g, usable); for (const auto kernel : {FlowPlacement::EqualBalanced, FlowPlacement::Weighted}) { - Cost cost = -1; - const auto on_dag = make_route_plan(g, kernel, Admission::Lossless, EdgePriority::Capacity, src, dsts, bundle, - elig ? &*elig : nullptr, &cost); - const auto on_list = make_plan(g, kernel, Admission::Lossless, EdgePriority::Capacity, src, dsts, usable, {}); - ASSERT_EQ(on_dag.members, on_list.members) << "trial " << trial; - EXPECT_EQ(on_dag.route, on_list.members); - EXPECT_EQ(on_dag.topo, on_list.topo); - EXPECT_EQ(on_dag.out_begin, on_list.out_begin); - EXPECT_EQ(on_dag.out_end, on_list.out_end); - EXPECT_EQ(on_dag.head_pos, on_list.head_pos); - EXPECT_EQ(on_dag.terminal, on_list.terminal); - EXPECT_EQ(on_dag.weights, on_list.weights); - EXPECT_EQ(cost, route_cost(g, on_list)) << "trial " << trial; - EXPECT_EQ(cost, route_cost(g, on_dag)); - std::vector a(on_dag.members.size()); - std::vector b(on_list.members.size()); - for (Amount t : {Amount {0}, Amount {1}, Amount {7}, Amount {50}}) { - if (on_dag.members.empty() && t != 0) continue; - EXPECT_TRUE(allocate(on_dag, t, a)); - EXPECT_TRUE(allocate(on_list, t, b)); - EXPECT_EQ(a, b); + Cost got_cost = -1; + const auto on_bundle = make_route_plan(g, kernel, Admission::Lossless, EdgePriority::Capacity, src, dsts, bundle, + elig ? &*elig : nullptr, &got_cost); + ASSERT_EQ(on_bundle.members, want) << "trial " << trial; + EXPECT_EQ(on_bundle.route, want); + EXPECT_EQ(got_cost, want_cost) << "trial " << trial; + EXPECT_EQ(prune(g, usable_dag, src, dsts), want); + Cost plan_cost = -1; + const auto on_usable = + make_plan(g, kernel, Admission::Lossless, EdgePriority::Capacity, src, dsts, usable_dag, {}, &plan_cost); + EXPECT_EQ(on_usable.members, on_bundle.members); + EXPECT_EQ(on_usable.topo, on_bundle.topo); + EXPECT_EQ(on_usable.out_begin, on_bundle.out_begin); + EXPECT_EQ(on_usable.out_end, on_bundle.out_end); + EXPECT_EQ(on_usable.head_pos, on_bundle.head_pos); + EXPECT_EQ(on_usable.terminal, on_bundle.terminal); + EXPECT_EQ(on_usable.weights, on_bundle.weights); + // The route cost is over the route (every usable edge), not only the members. + dist.assign(static_cast(n), kUnreachable); + dist[static_cast(src)] = 0; + for (int round = 0; round < n; ++round) { + for (EdgeId e : usable) { + const auto u = static_cast(edge_src[static_cast(e)]); + const auto v = static_cast(edge_dst[static_cast(e)]); + if (is_dst[u] == 0 && dist[u] != kUnreachable) dist[v] = std::min(dist[v], dist[u] + cost[static_cast(e)]); + } + } + Cost route_want = kUnreachable; + for (NodeId d : dsts) route_want = std::min(route_want, dist[static_cast(d)]); + EXPECT_EQ(plan_cost, route_want) << "trial " << trial; + EXPECT_EQ(route_cost(g, usable_dag, src, dsts), route_want) << "trial " << trial; // the cost pass alone + if (on_bundle.members.empty()) continue; + // Topology: the source first, every member's tail before its head, members of a node + // consecutive. + EXPECT_EQ(on_bundle.topo.front(), src); + for (std::size_t p = 0; p < on_bundle.topo.size(); ++p) { + for (auto k = on_bundle.out_begin[p]; k < on_bundle.out_end[p]; ++k) { + EXPECT_EQ(edge_src[static_cast(on_bundle.members[static_cast(k)])], on_bundle.topo[p]); + EXPECT_GT(on_bundle.head_pos[static_cast(k)], static_cast(p)); + } + } + // Conservation: what enters the destinations is the total. + std::vector a(on_bundle.members.size()); + for (Amount t : {Amount {1}, Amount {7}, Amount {50}}) { + ASSERT_TRUE(allocate(on_bundle, t, a)); + Amount delivered = 0; + for (std::size_t m = 0; m < a.size(); ++m) { + if (is_dst[static_cast(edge_dst[static_cast(on_bundle.members[m])])] != 0) { + delivered += a[m]; + } + } + EXPECT_EQ(delivered, t) << "trial " << trial; } - if (!on_dag.members.empty()) ++compared; + ++compared; } } EXPECT_GT(compared, 1000); @@ -583,7 +692,7 @@ TEST(MaxFlowKernel, ReleaseWitnessAndMixedCostBundle) { auto g2 = make_graph(4, {{0, 1, 1, 1}, {1, 2, 1, 1}, {2, 3, 1, 1}, {0, 3, 1, 4}}); const auto p2 = plan_of(g2, FlowPlacement::MaxFlow, 0, {3}, all_ids(g2), caps(g2)); EXPECT_EQ(dense_input(g2, p2, first_step(g2, p2, caps(g2), 1).alloc), (std::vector{1, 1, 1, 0})); - EXPECT_EQ(route_cost(g2, p2), 3); + EXPECT_EQ(cost_of(g2, p2), 3); } TEST(WeightedKernel, CapacityVersusResidualMembershipAfterOccupancy) { diff --git a/tests/cpp/pinned_one.hpp b/tests/cpp/pinned_one.hpp new file mode 100644 index 0000000..8d72964 --- /dev/null +++ b/tests/cpp/pinned_one.hpp @@ -0,0 +1,54 @@ +// A manual placement as the contract defines it (APPROACH 8): a FlowPolicy with Pinned routing and +// one bundle. The ledger and kernel tests drive the ledger through it and compare the real +// PlacementResult. +#pragma once + +#include +#include +#include + +#include "netgraph/core/detail/policy_engine.hpp" +#include "netgraph/core/flow_ledger.hpp" +#include "netgraph/core/flow_policy.hpp" +#include "netgraph/core/options.hpp" +#include "netgraph/core/pred_dag.hpp" + +namespace netgraph::core::test { + +class PinnedOne { +public: + PinnedOne(FlowLedger& fg, NodeId src, NodeId dst, std::shared_ptr bundle, FlowPlacement placement, + Admission admission, EdgePriority priority, std::shared_ptr elig = nullptr) + : elig_(std::move(elig)) { + Pinned pinned; + pinned.bundles.push_back(std::move(bundle)); + FlowPolicyConfig cfg {pinned, placement, admission, PathSelection(EdgeTieBreak::Deterministic, priority)}; + const NodeId s[1] = {src}; + const NodeId d[1] = {dst}; + policy_ = std::make_unique(fg, s, d, std::move(cfg), elig_.get()); + } + + PlacementResult place(std::optional volume) { return policy_->place(volume); } + void remove() { policy_->remove(); } + [[nodiscard]] std::optional flow_id() const { + const auto& pe = engine(); + if (pe.cohorts.empty() || pe.cohorts.front().empty()) return std::nullopt; + return FlowId {pe.fg.uid(), pe.cohorts.front().front().id}; + } + [[nodiscard]] Amount placed_demand() const { return policy_->placed_demand(); } + [[nodiscard]] int usable_bundles() const { return policy_->usable_bundles(); } + [[nodiscard]] const detail::KernelPlan* plan() const { + const auto& pe = engine(); + if (pe.cohorts.empty() || pe.cohorts.front().empty()) return nullptr; + return pe.cohorts.front().front().plan.get(); + } + [[nodiscard]] const Counter128& requested() const { return engine().requested; } + [[nodiscard]] bool infinite() const { return engine().infinite; } + +private: + [[nodiscard]] const detail::PolicyEngine& engine() const { return detail::PolicyAccess::engine(*policy_); } + std::shared_ptr elig_; + std::unique_ptr policy_; +}; + +} // namespace netgraph::core::test diff --git a/tests/cpp/pred_dag_tests.cpp b/tests/cpp/pred_dag_tests.cpp index e9e3ff1..bef2484 100644 --- a/tests/cpp/pred_dag_tests.cpp +++ b/tests/cpp/pred_dag_tests.cpp @@ -3,7 +3,9 @@ // to_dag(). #include +#include #include +#include #include #include #include @@ -29,12 +31,18 @@ std::string error_of(const std::function& fn) { bool contains(const std::string& s, const std::string& part) { return s.find(part) != std::string::npos; } // 0 -> 1 (two parallel members), 1 -> 2, 0 -> 2; ids follow (src, cost, dst, input). -StrictMultiDiGraph diamondish() { +Graph diamondish() { return make_graph(3, {{0, 1, 5, 1}, {0, 1, 5, 1}, {1, 2, 5, 1}, {0, 2, 5, 3}, {2, 0, 5, 1}}); } using V = std::vector; +// The DAG's edges in ascending EdgeId (the builder's view of the storage). +std::vector ascending(const PredDAG& dag) { + const auto e = detail::PredDAGBuilder::ascending(dag); + return {e.begin(), e.end()}; +} + } // namespace TEST(PredDAG, FromCsrRoundTripAndAccessors) { @@ -45,17 +53,56 @@ TEST(PredDAG, FromCsrRoundTripAndAccessors) { const V via = {0, 1, 2, 3}; auto dag = PredDAG::from_csr(g, off, par, via); EXPECT_EQ(dag.graph_uid(), g.uid()); - EXPECT_EQ(dag.num_nodes(), 3); - EXPECT_EQ(V(dag.parent_offsets().begin(), dag.parent_offsets().end()), off); + EXPECT_EQ(dag.parent_offsets(), off); EXPECT_EQ(V(dag.parents().begin(), dag.parents().end()), par); EXPECT_EQ(V(dag.via_edges().begin(), dag.via_edges().end()), via); - EXPECT_EQ(dag.edges(), (std::vector{0, 1, 2, 3})); + EXPECT_EQ(ascending(dag), (std::vector{0, 1, 2, 3})); // Structural equality: the builder's value from the same edge set is equal. const std::vector edges = {3, 1, 0, 2}; - EXPECT_TRUE(detail::PredDAGBuilder::from_edges(g, edges) == dag); + EXPECT_TRUE(detail::PredDAGBuilder::of_edges(g, edges) == dag); auto empty = PredDAG::from_csr(g, V {0, 0, 0, 0}, V {}, V {}); EXPECT_FALSE(empty == dag); - EXPECT_TRUE(empty.edges().empty()); + EXPECT_TRUE(ascending(empty).empty()); +} + +// The builder's entries for any edge subset in any input order: children ascending, via +// ascending within a child, the parent each via's tail, and the same value as from_csr. +TEST(PredDAG, BuilderGroupsAnyEdgeSubsetCanonically) { + std::mt19937 rng(5); + for (int trial = 0; trial < 200; ++trial) { + const int n = 2 + static_cast(rng() % 9); + std::vector es; + for (int k = 0, m = 1 + static_cast(rng() % 30); k < m; ++k) { // u < v: every subset is a DAG + const auto u = static_cast(rng() % static_cast(n - 1)); + const auto v = static_cast(u + 1 + static_cast(rng() % static_cast(n - 1 - u))); + es.push_back({u, v, 1, static_cast(1 + rng() % 3)}); + } + const auto g = make_graph(n, es); + std::vector subset; + for (EdgeId e = 0; e < g.num_edges(); ++e) { + if (rng() % 2 == 0) subset.push_back(e); + } + std::shuffle(subset.begin(), subset.end(), rng); + const auto dag = detail::PredDAGBuilder::of_edges(g, subset); + V off(static_cast(n) + 1, 0); + std::vector> entries; + for (EdgeId e : subset) entries.emplace_back(g.edge_dst()[static_cast(e)], e); + std::sort(entries.begin(), entries.end()); + V par; + V via; + for (auto [child, e] : entries) { + ++off[static_cast(child) + 1]; + par.push_back(g.edge_src()[static_cast(e)]); + via.push_back(e); + } + for (std::size_t i = 1; i < off.size(); ++i) off[i] += off[i - 1]; + EXPECT_EQ(dag.parent_offsets(), off) << trial; + EXPECT_EQ(V(dag.parents().begin(), dag.parents().end()), par) << trial; + EXPECT_EQ(V(dag.via_edges().begin(), dag.via_edges().end()), via) << trial; + EXPECT_TRUE(PredDAG::from_csr(g, off, par, via) == dag) << trial; + std::sort(subset.begin(), subset.end()); + EXPECT_EQ(ascending(dag), subset) << trial; + } } TEST(PredDAG, FromCsrShapeChecksInOrder) { @@ -107,7 +154,7 @@ TEST(PredDAG, SelfLoopIsACycle) { TEST(PredDAG, EmptyGraph) { auto g = make_graph(0, {}); auto dag = PredDAG::from_csr(g, V {0}, V {}, V {}); - EXPECT_EQ(dag.num_nodes(), 0); + EXPECT_EQ(dag.parent_offsets(), V {0}); EXPECT_FALSE(error_of([&] { (void)PredDAG::from_csr(g, V {}, V {}, V {}); }).empty()); } @@ -117,12 +164,11 @@ TEST(Path, CostSrcDstAndToDag) { Path p(g, {{1, 0}, {3}}); EXPECT_EQ(p.src(), 0); EXPECT_EQ(p.dst(), 2); - EXPECT_EQ(p.nodes(), (std::vector{0, 1, 2})); EXPECT_EQ(p.cost(), 2); EXPECT_EQ(p.hops(), (std::vector>{{1, 0}, {3}})); EXPECT_EQ(p.graph_uid(), g.uid()); auto dag = p.to_dag(); - EXPECT_EQ(V(dag.parent_offsets().begin(), dag.parent_offsets().end()), (V {0, 0, 2, 3})); + EXPECT_EQ(dag.parent_offsets(), (V {0, 0, 2, 3})); EXPECT_EQ(V(dag.via_edges().begin(), dag.via_edges().end()), (V {0, 1, 3})); EXPECT_EQ(V(dag.parents().begin(), dag.parents().end()), (V {0, 0, 1})); // to_dag gives a canonical value: from_csr accepts it unchanged. diff --git a/tests/cpp/search_tests.cpp b/tests/cpp/search_tests.cpp index 3b6d81d..03c4b98 100644 --- a/tests/cpp/search_tests.cpp +++ b/tests/cpp/search_tests.cpp @@ -1,4 +1,4 @@ -// The internal search of APPROACH 6 (sub-PR 1b; public spf in 1d): the member graph and +// The internal search of APPROACH 6: the member graph and // select_adjacency, the unique DAG in both directions, anycast pruning, the staged canonical // single path on the review witnesses and against exhaustive enumeration, validation. #include @@ -13,12 +13,11 @@ #include #include "netgraph/core/detail/search.hpp" -#include "netgraph/core/flow.hpp" +#include "netgraph/core/options.hpp" #include "test_utils.hpp" using namespace netgraph::core; using namespace netgraph::core::test; -using netgraph::core::detail::Direction; namespace { @@ -44,7 +43,7 @@ std::string error_of(const std::function& fn) { return ""; } -detail::SpfOut run(const StrictMultiDiGraph& g, std::vector roots, Direction dir, +detail::SpfOut run(const Graph& g, std::vector roots, Direction dir, std::optional> targets, const PathSelection& s, std::optional> residual = std::nullopt, Amount min_residual = 1, const Eligibility* elig = nullptr) { @@ -204,8 +203,6 @@ TEST(Search, StagedPathBottleneckThenHopsThenIds) { auto pri = run(g, {0}, Direction::Forward, std::vector {3}, sel(false, true, EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity)); EXPECT_EQ(pri.path->walk, (std::vector{inv[2], inv[3]})); - ASSERT_TRUE(pri.path->b_star.has_value()); - EXPECT_EQ(pri.path->b_star->num, 3); // Residual priority reads the residual: on capacities 5 everywhere and residuals by input // [5, 4, 1, 3, 2], 0->1->3 has bottleneck 4, 0->2->3 has 1, the direct edge 2: B* = 4. auto g5 = make_graph(4, {{0, 1, 5, 1}, {1, 3, 5, 1}, {0, 2, 5, 1}, {2, 3, 5, 1}, {0, 3, 5, 2}}); @@ -226,7 +223,7 @@ TEST(Search, StagedPathBottleneckThenHopsThenIds) { namespace { // Every simple path from a source to a destination over the members (tiny graphs). -void enumerate(const StrictMultiDiGraph& g, const std::vector& member, NodeId u, +void enumerate(const Graph& g, const std::vector& member, NodeId u, const std::vector& dsts, std::vector& walk, std::vector& on, std::vector>& out) { if (std::find(dsts.begin(), dsts.end(), u) != dsts.end()) { @@ -330,7 +327,7 @@ TEST(Search, StagedPathReview13CanonicalWitnesses) { // (all capacities 1: priority ties), both directions. auto c2 = make_graph(4, {{0, 1, 1, 9}, {0, 2, 1, 1}, {1, 3, 1, 1}, {2, 3, 1, 9}}); auto three = make_graph(6, {{0, 2, 1, 1}, {2, 3, 1, 1}, {3, 5, 1, 1}, {0, 1, 1, 1}, {1, 4, 1, 1}, {4, 5, 1, 1}}); - auto nodes_of = [](const StrictMultiDiGraph& g, const std::vector& walk) { + auto nodes_of = [](const Graph& g, const std::vector& walk) { std::vector out = {g.edge_src()[static_cast(walk.front())]}; for (EdgeId e : walk) out.push_back(g.edge_dst()[static_cast(e)]); return out; diff --git a/tests/cpp/smoke_test.cpp b/tests/cpp/smoke_test.cpp deleted file mode 100644 index bfe6563..0000000 --- a/tests/cpp/smoke_test.cpp +++ /dev/null @@ -1,30 +0,0 @@ -#include - -#include -#include -#include - -#include "netgraph/core/max_flow.hpp" -#include "netgraph/core/strict_multidigraph.hpp" -#include "netgraph/core/types.hpp" - -using namespace netgraph::core; - -TEST(GraphSmoke, ConstructAndSolve) { - // 0 -> 1 (cost 10), 1 -> 2 (cost 20), 0 -> 2 (cost 100); capacities 10 units each. - const std::vector src = {0, 1, 0}; - const std::vector dst = {1, 2, 2}; - const std::vector cap = {10, 10, 10}; - const std::vector cost = {10, 20, 100}; - StrictMultiDiGraph g(3, src, dst, cap, cost, 1.0); - EXPECT_EQ(g.num_nodes(), 3); - EXPECT_EQ(g.num_edges(), 3); - - const std::vector s = {0}; - const std::vector t = {2}; - auto r = place_global_units(g, g.capacity_units(), s, t, nullptr, std::nullopt); - EXPECT_EQ(r.placed, 20); - ASSERT_EQ(r.cost_distribution.size(), 2u); - EXPECT_EQ(r.cost_distribution[0], (std::pair{30, 10})); // 0 -> 1 -> 2 first - EXPECT_EQ(r.cost_distribution[1], (std::pair{100, 10})); // then the direct edge -} diff --git a/tests/cpp/test_utils.hpp b/tests/cpp/test_utils.hpp index f17a174..393c1b4 100644 --- a/tests/cpp/test_utils.hpp +++ b/tests/cpp/test_utils.hpp @@ -12,11 +12,16 @@ #include #include -#include "netgraph/core/max_flow.hpp" -#include "netgraph/core/strict_multidigraph.hpp" +#include "netgraph/core/detail/flow_core.hpp" +#include "netgraph/core/graph.hpp" namespace netgraph::core::test { +using detail::FlowCoreResult; +using detail::kMaxFlowCap; +using detail::kNeverReached; +using detail::place_global_units; + // An edge in input coordinates. struct InEdge { NodeId u; @@ -25,7 +30,7 @@ struct InEdge { Cost cost; }; -inline StrictMultiDiGraph make_graph(std::int32_t n, const std::vector& edges, double q = 1.0) { +inline Graph make_graph(std::int32_t n, const std::vector& edges, double q = 1.0) { std::vector src, dst; std::vector cap; std::vector cost; @@ -35,11 +40,11 @@ inline StrictMultiDiGraph make_graph(std::int32_t n, const std::vector& cap.push_back(e.cap); cost.push_back(e.cost); } - return StrictMultiDiGraph(n, src, dst, cap, cost, q); + return Graph(n, src, dst, cap, cost, q); } // The caller's inverse of input_index(): input position -> EdgeId. -inline std::vector id_of_input(const StrictMultiDiGraph& g) { +inline std::vector id_of_input(const Graph& g) { auto ii = g.input_index(); std::vector inv(ii.size()); for (std::size_t e = 0; e < ii.size(); ++e) inv[static_cast(ii[e])] = static_cast(e); @@ -48,7 +53,7 @@ inline std::vector id_of_input(const StrictMultiDiGraph& g) { // A per-edge array in input order, permuted to id order. template -std::vector to_ids(const StrictMultiDiGraph& g, const std::vector& by_input) { +std::vector to_ids(const Graph& g, const std::vector& by_input) { auto ii = g.input_index(); std::vector out(ii.size()); for (std::size_t e = 0; e < ii.size(); ++e) out[e] = by_input[static_cast(ii[e])]; @@ -57,7 +62,7 @@ std::vector to_ids(const StrictMultiDiGraph& g, const std::vector& by_inpu // A per-edge array in id order, permuted to input order. template -std::vector to_input(const StrictMultiDiGraph& g, std::span by_id) { +std::vector to_input(const Graph& g, std::span by_id) { auto ii = g.input_index(); std::vector out(ii.size()); for (std::size_t e = 0; e < ii.size(); ++e) out[static_cast(ii[e])] = by_id[e]; @@ -65,12 +70,12 @@ std::vector to_input(const StrictMultiDiGraph& g, std::span by_id) { } template -std::vector to_input(const StrictMultiDiGraph& g, const std::vector& by_id) { +std::vector to_input(const Graph& g, const std::vector& by_id) { return to_input(g, std::span(by_id)); } // EdgeIds translated to sorted input positions. -inline std::vector ids_to_input(const StrictMultiDiGraph& g, const std::vector& ids) { +inline std::vector ids_to_input(const Graph& g, const std::vector& ids) { std::vector out; for (EdgeId e : ids) out.push_back(g.input_index()[static_cast(e)]); std::sort(out.begin(), out.end()); @@ -79,7 +84,7 @@ inline std::vector ids_to_input(const StrictMultiDiGraph& g, const inline std::vector> curve(std::initializer_list> c) { return c; } -inline FlowCoreResult solve(const StrictMultiDiGraph& g, std::vector s, std::vector d, +inline FlowCoreResult solve(const Graph& g, std::vector s, std::vector d, std::optional cap, const std::vector* view = nullptr, const Eligibility* elig = nullptr) { std::vector full(g.capacity_units().begin(), g.capacity_units().end()); @@ -97,7 +102,7 @@ inline bool same_payload(const FlowCoreResult& a, const FlowCoreResult& b) { // Value -> minimum cost of every integer flow value, by enumerating every integer flow on the // eligible edges (small graphs only). Independent of the solver. -inline std::map exhaustive_costs(const StrictMultiDiGraph& g, std::span view, +inline std::map exhaustive_costs(const Graph& g, std::span view, const std::vector& srcs, const std::vector& dsts, const Eligibility* elig) { const auto m = static_cast(g.num_edges()); @@ -143,7 +148,7 @@ inline std::map exhaustive_costs(const StrictMultiDiGraph& g, // Breakpoints [(value, cost)] of the min-cost curve by successive shortest paths with // Bellman-Ford on the residual (no potentials, no Dinic, its own arc order); run to // disconnection. Independent of the solver. -inline std::vector> independent_curve(const StrictMultiDiGraph& g, +inline std::vector> independent_curve(const Graph& g, std::span view, const std::vector& srcs, const std::vector& dsts, @@ -228,7 +233,7 @@ inline std::vector> payload_points(const FlowCoreRes // The certificate of APPROACH 2.2 in two ordered branches. Returns the failed clauses. With // `tier_a`, the complete curve is compared with the exhaustive optimum of every value; else with // the independent Bellman-Ford curve at the union of both breakpoint sets. -inline std::vector certify(const StrictMultiDiGraph& g, std::span view, +inline std::vector certify(const Graph& g, std::span view, std::vector srcs, std::vector dsts, std::optional cap, const Eligibility* elig, const FlowCoreResult& r, bool tier_a) { diff --git a/tests/data/policy_fixtures.json b/tests/data/policy_fixtures.json new file mode 100644 index 0000000..0a74e78 --- /dev/null +++ b/tests/data/policy_fixtures.json @@ -0,0 +1 @@ +{"format":"p2-fixtures/1","source":"prototype 2 of the design tree dev/design/2026-10-streamline (untracked by design): prototypes/p2_transaction in integer units (APPROACH 9), exported by 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diff --git a/tests/py/private_hooks.py b/tests/py/private_hooks.py new file mode 100644 index 0000000..797af25 --- /dev/null +++ b/tests/py/private_hooks.py @@ -0,0 +1,12 @@ +"""Whether the extension carries the private hooks (CMake option NETGRAPH_CORE_PRIVATE_HOOKS: ON +for the editable development build, OFF for an installed wheel). Tests that need a hook are +skipped without them, never failed.""" + +import _netgraph_core +import pytest + +HOOKS = hasattr(_netgraph_core, "_max_flows_per_call") + +needs_hooks = pytest.mark.skipif( + not HOOKS, reason="needs the private hooks (NETGRAPH_CORE_PRIVATE_HOOKS)" +) diff --git a/tests/py/test_place_global_units.py b/tests/py/test_flow_core.py similarity index 98% rename from tests/py/test_place_global_units.py rename to tests/py/test_flow_core.py index 95b8cb7..81f9c0b 100644 --- a/tests/py/test_place_global_units.py +++ b/tests/py/test_flow_core.py @@ -24,7 +24,7 @@ def build(n, edges, q=1.0): - return ngc.StrictMultiDiGraph( + return ngc.Graph( n, [e[0] for e in edges], [e[1] for e in edges], @@ -151,8 +151,8 @@ def test_release_witness_fresh_solve(): ({"view": [1, 6]}, "capacity_units"), ({"view": [1.0, 1.0]}, "view"), ({"view": [-1, 0]}, "outside"), - ({"sources": []}, "sources: the endpoint set is empty"), - ({"destinations": []}, "destinations: the endpoint set is empty"), + ({"sources": []}, "sources: the node set is empty"), + ({"destinations": []}, "destinations: the node set is empty"), ({"sources": [3]}, "out of node range"), ({"sources": [0, 2]}, "both endpoint sets"), ({"sources": [0.0]}, "sources"), diff --git a/tests/py/test_ledger.py b/tests/py/test_flow_ledger.py similarity index 66% rename from tests/py/test_ledger.py rename to tests/py/test_flow_ledger.py index 90c2da3..afd7d1a 100644 --- a/tests/py/test_ledger.py +++ b/tests/py/test_flow_ledger.py @@ -1,6 +1,7 @@ -"""The integer ledger FlowGraph through the bindings (APPROACH 8): baselines on unnarrowed -values, snapshots and records, FlowIds, bottleneck, and the lifetime table driven by the -private single-bundle Pinned entry of sub-PR 1b (``_netgraph_core._PinnedFlow``).""" +"""The integer ledger FlowLedger through the bindings (APPROACH 8): baselines on unnarrowed +values, snapshots and records, FlowIds, bottleneck, and the lifetime table driven by manual +placements: FlowPolicy with Pinned routing and one bundle (the contract's manual flow), whose +PlacementResult the tests read.""" from __future__ import annotations @@ -8,18 +9,19 @@ import gc import math -import _netgraph_core as ext import numpy as np import pytest +from private_hooks import HOOKS import netgraph_core as ngc L62 = 1 << 62 INF = math.inf +T = ngc.Termination def build(n, edges, q=1.0): - return ngc.StrictMultiDiGraph( + return ngc.Graph( n, [e[0] for e in edges], [e[1] for e in edges], @@ -44,17 +46,22 @@ def dag_of(g, edges): def pinned(fg, src, dst, edges, placement, admission=None, priority=None, elig=None): - g = fg.graph() - return ext._PinnedFlow( - fg, - src, - dst, - dag_of(g, edges), - placement, - admission if admission is not None else ngc.Admission.LOSSLESS, - priority if priority is not None else ngc.EdgePriority.RESIDUAL, - elig, + """A manual flow: a FlowPolicy with Pinned routing and one bundle (the edges' DAG).""" + cfg = ngc.FlowPolicyConfig( + routing=ngc.Pinned([dag_of(fg.graph(), edges)]), + placement=placement, + admission=admission if admission is not None else ngc.Admission.LOSSLESS, + selection=ngc.PathSelection( + ngc.EdgeTieBreak.DETERMINISTIC, + priority if priority is not None else ngc.EdgePriority.RESIDUAL, + ), ) + return ngc.FlowPolicy(fg, src, dst, cfg, elig) + + +def flow_id(policy): + recs = policy.records() + return recs[0].flow_id if recs else None EB = ngc.FlowPlacement.EQUAL_BALANCED @@ -65,7 +72,7 @@ def pinned(fg, src, dst, edges, placement, admission=None, priority=None, elig=N def test_baseline_validation_order_and_snapshots(): g = build(2, [(0, 1, 5, 1), (1, 0, 3, 1)]) - fg = ngc.FlowGraph(g) + fg = ngc.FlowLedger(g) assert list(fg.residual()) == [5, 3] assert fg.residual().dtype == np.int64 assert list(fg.allocated()) == [0, 0] @@ -82,23 +89,31 @@ def test_baseline_validation_order_and_snapshots(): (np.zeros((1, 2), dtype=np.int64), "1-D"), ): with pytest.raises(ValueError, match=msg): - ngc.FlowGraph(g, bad) - fg2 = ngc.FlowGraph(graph=g, residual=np.array([1, 2], dtype=np.uint64)) + ngc.FlowLedger(g, bad) + fg2 = ngc.FlowLedger(graph=g, residual=np.array([1, 2], dtype=np.uint64)) assert list(fg2.residual()) == [1, 2] assert fg2.uid() != fg.uid() def test_lifetime_bound_rows_and_epochs(): g = build(2, [(0, 1, 5, 1)]) - fg = ngc.FlowGraph(g) + fg = ngc.FlowLedger(g) p = pinned(fg, 0, 1, [0], EB) r = p.place(0) - assert (r["termination"], r["routes_changed"], fg.records()) == ( - "complete", + assert (r.placed, r.remaining, r.termination, r.local_outcomes) == ( + 0, + 0, + T.COMPLETE, + [(0, T.COMPLETE)], + ) + assert (r.routes_changed, r.weights_changed, r.drops, fg.records()) == ( + False, False, [], + [], ) - assert fg._state()["next_flow_id"] == 0 + if HOOKS: + assert fg._state()["next_flow_id"] == 0 with pytest.raises(ValueError, match="bound"): fg.reset() with pytest.raises(ValueError, match="bound"): @@ -106,40 +121,59 @@ def test_lifetime_bound_rows_and_epochs(): with pytest.raises(ValueError, match="bound"): copy.copy(fg) r = p.place(2) - assert (r["placed"], r["routes_changed"], p.flow_id()[1]) == (2, True, 0) + assert (r.placed, r.termination, r.routes_changed, flow_id(p)[1]) == ( + 2, + T.COMPLETE, + True, + 0, + ) r = p.place(INF) - assert (r["placed"], r["termination"], r["remaining"]) == (3, "exhausted", INF) + assert (r.placed, r.termination, r.remaining, r.local_outcomes) == ( + 3, + T.EXHAUSTED, + INF, + [(0, T.EXHAUSTED)], + ) + assert (r.routes_changed, r.weights_changed, r.cost_distribution) == ( + False, + False, + None, + ) with pytest.raises(ValueError, match=r"after \+inf"): p.place(1) with pytest.raises(ValueError, match=r"after \+inf"): p.place(0) - old = p.flow_id() + old = flow_id(p) p.remove() assert list(fg.allocated()) == [0] with pytest.raises(ValueError, match="retired or unknown"): fg.record(old) r = p.place(1) - assert (r["placed"], p.flow_id()[1]) == (1, 1) + assert (r.placed, r.routes_changed, flow_id(p)[1]) == (1, True, 1) p.remove() p.remove() - assert (p.requested(), p.infinite()) == (0, False) - assert fg._state() == {"next_flow_id": 2, "bound": [0], "orphans": []} + assert p.records() == [] + if HOOKS: + assert (p._state()["requested"], p._state()["infinite"]) == (0, False) + assert fg._state() == {"next_flow_id": 2, "bound": [0], "orphans": []} def test_orphans_from_destruction_reset_and_copy(): g = build(2, [(0, 1, 5, 1)]) - fg = ngc.FlowGraph(g) + fg = ngc.FlowLedger(g) q = pinned(fg, 0, 1, [0], EB) q.place(2) del q gc.collect() # destroyed without remove(): an orphan - assert fg._state()["orphans"] == [0] + if HOOKS: + assert fg._state()["orphans"] == [0] assert fg.records()[0].delivered == 2 p = pinned(fg, 0, 1, [0], EB) - assert p.place(5)["placed"] == 3 - p.release() - with pytest.raises(Exception, match="released"): - p.place(1) + assert p.place(5).placed == 3 + with pytest.raises(ValueError, match="bound"): + fg.copy() + del p + gc.collect() # the second orphan; the ledger has no bound policy left c = fg.copy() assert c.uid() != fg.uid() assert [r.flow_id for r in c.records()] == [(c.uid(), 0), (c.uid(), 1)] @@ -148,26 +182,32 @@ def test_orphans_from_destruction_reset_and_copy(): assert list(d.allocated()) == [5] fg.reset([4]) assert (fg.records(), list(fg.residual())) == ([], [4]) - assert fg._state() == {"next_flow_id": 2, "bound": [], "orphans": []} + if HOOKS: + assert fg._state() == {"next_flow_id": 2, "bound": [], "orphans": []} assert len(c.records()) == 2 # the copy is independent def test_policy_keeps_the_ledger_alive(): g = build(2, [(0, 1, 5, 1)]) - fg = ngc.FlowGraph(g) + fg = ngc.FlowLedger(g) p = pinned(fg, 0, 1, [0], MF) del fg gc.collect() - assert p.place(2)["placed"] == 2 + assert p.place(2).placed == 2 assert p.placed_demand() == 2 def test_records_fields_and_counters_beyond_64_bits(): g = build(4, [(0, 1, 10, 1), (0, 2, 10, 1), (1, 3, 1, 1), (2, 3, 10, 1)]) - fg = ngc.FlowGraph(g) + fg = ngc.FlowLedger(g) p = pinned(fg, 0, 3, range(4), EB, LOSSY) r = p.place(10) - assert (r["placed"], r["termination"], r["drops"]) == (6, "complete", [(2, 4)]) + assert (r.placed, r.remaining, r.termination, r.drops) == ( + 6, + 4, + T.COMPLETE, + [(2, 4)], + ) rec = fg.records()[0] assert rec.flow_id == (fg.uid(), 0) assert (rec.owner, rec.sources, rec.destinations) == (0, [0], [3]) @@ -179,7 +219,7 @@ def test_records_fields_and_counters_beyond_64_bits(): assert fg.record(rec.flow_id).delivered == 6 # Lossless records: no offered; a route without a walk at creation: route_cost None. g2 = build(2, [(0, 1, 1, 1)]) - fg2 = ngc.FlowGraph(g2) + fg2 = ngc.FlowLedger(g2) pinned(fg2, 0, 1, [0], MF).place(1) assert fg2.records()[0].offered is None # Every unit dropped on a saturated link, nine times: the counters pass 2^64. @@ -189,7 +229,8 @@ def test_records_fields_and_counters_beyond_64_bits(): lossy = fg2.records()[1] assert lossy.offered == 9 * (L62 - 1) assert lossy.drops == [(0, 9 * (L62 - 1))] - assert sat.requested() == 9 * (L62 - 1) + if HOOKS: + assert sat._state()["requested"] == 9 * (L62 - 1) assert lossy.offered > 1 << 64 @@ -198,27 +239,30 @@ def test_empty_split_graph_keeps_the_route_cost(): # record exists at zero delivery with an empty split graph; route_cost is the bundle's # minimum walk cost (APPROACH 8), not a split-graph value. g = build(2, [(0, 1, 2, 3)]) - fg = ngc.FlowGraph(g) + fg = ngc.FlowLedger(g) pinned(fg, 0, 1, [0], MF).place(2) w = pinned(fg, 0, 1, [0], W) r = w.place(1) - assert (r["placed"], r["termination"], r["routes_changed"]) == ( + assert (r.placed, r.termination, r.routes_changed, r.weights_changed) == ( 0, - "exhausted", + T.EXHAUSTED, True, + False, ) - rec = fg.record(w.flow_id()) + rec = fg.record(flow_id(w)) assert (rec.route_cost, rec.delivered, rec.edges) == (3, 0, []) - assert w.plan()["members"] == [] + if HOOKS: + flows = next(iter(w._state()["cohorts"].values())) + assert flows[0]["members"] == [] def test_flow_ids_of_other_ledgers_and_bad_shapes(): g = build(2, [(0, 1, 5, 1)]) - a, b = ngc.FlowGraph(g), ngc.FlowGraph(g) + a, b = ngc.FlowLedger(g), ngc.FlowLedger(g) p = pinned(a, 0, 1, [0], MF) p.place(1) with pytest.raises(ValueError, match="another ledger"): - b.record(p.flow_id()) + b.record(flow_id(p)) with pytest.raises(ValueError, match="tuple"): a.record(0) with pytest.raises(ValueError, match="retired or unknown"): @@ -227,7 +271,7 @@ def test_flow_ids_of_other_ledgers_and_bad_shapes(): def test_requests_are_integer_units_or_inf(): g = build(2, [(0, 1, 5, 1)]) - fg = ngc.FlowGraph(g) + fg = ngc.FlowLedger(g) p = pinned(fg, 0, 1, [0], EB) for bad, msg in ( (1.5, "integer units or"), @@ -240,14 +284,15 @@ def test_requests_are_integer_units_or_inf(): with pytest.raises(ValueError, match=msg): p.place(bad) assert fg.records() == [] - assert p.place(np.int64(2))["placed"] == 2 + assert p.place(np.int64(2)).placed == 2 def test_bottleneck_versus_min_cut(): g = build(4, [(0, 1, 1, 1), (0, 2, 2, 3), (1, 2, 1, 1), (2, 3, 2, 1)]) - fg = ngc.FlowGraph(g) + fg = ngc.FlowLedger(g) p = pinned(fg, 0, 3, range(4), MF) - assert p.place(INF)["placed"] == 2 + r = p.place(INF) + assert (r.placed, r.termination) == (2, T.EXHAUSTED) inv = [0] * 4 for e, pos in enumerate(g.input_index()): inv[pos] = e @@ -264,7 +309,7 @@ def test_bottleneck_versus_min_cut(): def test_pinned_construction_errors(): g = build(3, [(0, 1, 5, 1), (2, 1, 5, 1)]) - fg = ngc.FlowGraph(g) + fg = ngc.FlowLedger(g) with pytest.raises(ValueError, match="malformed bundle"): pinned(fg, 0, 2, [0, 1], MF) with pytest.raises(ValueError, match="Lossy"): @@ -274,15 +319,14 @@ def test_pinned_construction_errors(): with pytest.raises(ValueError, match="both endpoint sets"): pinned(fg, 1, 1, [0], MF) other = build(3, [(0, 1, 5, 1), (2, 1, 5, 1)]) + foreign = ngc.FlowPolicyConfig( + routing=ngc.Pinned([dag_of(other, [0])]), + placement=MF, + admission=ngc.Admission.LOSSLESS, + selection=ngc.PathSelection( + ngc.EdgeTieBreak.DETERMINISTIC, ngc.EdgePriority.RESIDUAL + ), + ) with pytest.raises(ValueError, match="foreign PredDAG"): - ext._PinnedFlow( - fg, - 0, - 1, - dag_of(other, [0]), - MF, - ngc.Admission.LOSSLESS, - ngc.EdgePriority.RESIDUAL, - None, - ) - assert fg._state()["bound"] == [] + ngc.FlowPolicy(fg, 0, 1, foreign) + fg.reset() # no policy is bound diff --git a/tests/py/test_flow_policy.py b/tests/py/test_flow_policy.py new file mode 100644 index 0000000..c2f1d2c --- /dev/null +++ b/tests/py/test_flow_policy.py @@ -0,0 +1,514 @@ +"""The policy engine, the DagCache and the evaluators through the bindings (APPROACH 8 to 11): +configuration objects and their structural validation, PlacementResult fields and outputs, +lifetimes, the evaluators with workers, and the cache statistics. Prototype 2's fixtures +replay in ``test_flow_policy_fixtures.py``.""" + +from __future__ import annotations + +import gc +import math + +import _netgraph_core as ext +import numpy as np +import pytest +from private_hooks import HOOKS, needs_hooks + +import netgraph_core as ngc + +INF = math.inf +L62 = 1 << 62 +T = ngc.Termination + + +def build(n, edges, q=1.0): + return ngc.Graph( + n, + [e[0] for e in edges], + [e[1] for e in edges], + [e[2] for e in edges], + [e[3] for e in edges], + q, + ) + + +def ids(g, positions): + inv = [0] * g.num_edges() + for e, pos in enumerate(g.input_index()): + inv[int(pos)] = e + return sorted(inv[p] for p in positions) + + +def dag(g, edges): + per = [[] for _ in range(g.num_nodes())] + for e in sorted(edges): + per[int(g.edge_dst()[e])].append(e) + offsets, parents, via = [0], [], [] + for v in range(g.num_nodes()): + for e in per[v]: + parents.append(int(g.edge_src()[e])) + via.append(e) + offsets.append(len(via)) + return ngc.PredDAG.from_csr(g, offsets, parents, via) + + +def sel( + tie=ngc.EdgeTieBreak.DETERMINISTIC, prio=ngc.EdgePriority.CAPACITY, mp=True, me=True +): + return ngc.PathSelection(tie, prio, mp, me) + + +def config( + routing, placement=ngc.FlowPlacement.EQUAL_BALANCED, admission=None, selection=None +): + return ngc.FlowPolicyConfig( + routing=routing, + placement=placement, + admission=admission or ngc.Admission.LOSSLESS, + selection=selection or sel(), + ) + + +GLOBAL = config(ngc.Global(), ngc.FlowPlacement.MAX_FLOW) + + +def diamond(a=5, b=3, c=1): + # input edges: 0: 0->1, 1: 1->3 (cap a, cost 1); 2: 0->2, 3: 2->3 (cap b, cost c) + return build(4, [(0, 1, a, 1), (1, 3, a, 1), (0, 2, b, c), (2, 3, b, c)]) + + +def test_configurations_are_structural_and_explicit(): + with pytest.raises(TypeError): + ngc.FlowPolicyConfig( + ngc.CostOnly(), ngc.FlowPlacement.MAX_FLOW, ngc.Admission.LOSSLESS, sel() + ) + with pytest.raises(TypeError): + ngc.FlowPolicyConfig( + routing=ngc.CostOnly(), placement=ngc.FlowPlacement.MAX_FLOW + ) + with pytest.raises(TypeError, match="incompatible"): + ngc.CostOnly(flow_count=2) # a field outside its routing variant (rule 13) + with pytest.raises(TypeError, match="incompatible"): + ngc.Global(max_flow_count=4) + with pytest.raises(TypeError, match="routing"): + config("CostOnly") + ca = ngc.CapacityAware( + flow_count=2, + max_flow_count=4, + max_path_cost=ngc.Stretch(1.5), + min_flow_bandwidth=3, + reoptimize=True, + diminishing=ngc.DiminishingReturns(2, 0.25), + ) + assert (ca.flow_count, ca.max_flow_count, ca.min_flow_bandwidth, ca.reoptimize) == ( + 2, + 4, + 3, + True, + ) + assert ca.max_path_cost == ngc.Stretch(1.5) + assert (ca.diminishing.window, ca.diminishing.fraction) == (2, 0.25) + assert ngc.CapacityAware().max_path_cost is None + assert ngc.CapacityAware( + max_path_cost=ngc.Absolute(7) + ).max_path_cost == ngc.Absolute(7) + with pytest.raises(TypeError): + ngc.CapacityAware(2) # keyword-only + for bad in (2**40, True, 1.5): + with pytest.raises(ValueError, match="flow_count"): + ngc.CapacityAware(flow_count=bad) + with pytest.raises(ValueError, match="min_flow_bandwidth"): + ngc.CapacityAware(min_flow_bandwidth=2**80) + with pytest.raises(TypeError, match="PredDAG"): + ngc.Pinned([[0, 1]]) + cfg = config(ca) + assert isinstance(cfg.routing, ngc.CapacityAware) + assert cfg.routing.flow_count == 2 + + +def test_validation_messages_before_binding(): + g = diamond() + fg = ngc.FlowLedger(g) + + def rejects(cfg, msg, src=0, dst=3): + with pytest.raises(ValueError, match=msg): + ngc.FlowPolicy(fg, src, dst, cfg) + + rejects( + config(ngc.CostOnly(), ngc.FlowPlacement.MAX_FLOW, ngc.Admission.LOSSY), "Lossy" + ) + rejects(config(ngc.CapacityAware(), admission=ngc.Admission.LOSSY), "Lossy") + rejects(config(ngc.Global()), "MaxFlow") + rejects(config(ngc.CapacityAware(flow_count=0)), "flow_count") + rejects(config(ngc.CapacityAware(flow_count=2, max_flow_count=1)), "max_flow_count") + rejects(config(ngc.CapacityAware(max_path_cost=ngc.Stretch(0.5))), "Stretch") + rejects(config(ngc.CapacityAware(max_path_cost=ngc.Stretch(math.nan))), "Stretch") + rejects( + config(ngc.CapacityAware(diminishing=ngc.DiminishingReturns(1, 1.0))), + "fraction", + ) + rejects(config(ngc.Pinned([])), "empty bundle list") + b = dag(g, ids(g, [0, 1])) + rejects(config(ngc.Pinned([b, b])), "duplicate bundle") + rejects(config(ngc.Pinned([dag(g, ids(g, [0, 3]))])), "malformed bundle") + rejects(config(ngc.Pinned([b])), "single endpoints", src=[0, 1]) + rejects(config(ngc.CostOnly()), "both endpoint sets", src=[0, 3]) + rejects(config(ngc.CostOnly()), "empty", src=[]) + rejects(config(ngc.CostOnly()), "out of node range", src=[L62]) + with pytest.raises(ValueError, match="foreign"): + ngc.FlowPolicy( + fg, 0, 3, config(ngc.CostOnly()), diamond().eligibility(excluded_edges=[0]) + ) + with pytest.raises(ValueError, match="foreign"): + ngc.FlowPolicy(fg, 0, 3, config(ngc.CostOnly()), None, ngc.DagCache(diamond())) + fg.reset() # nothing bound + + +def test_enum_values_outside_their_enumeration_are_rejected(): + # Rule 13: an enum built from an integer outside the enumeration is a domain error named + # by its field, at every constructor that takes it, so it never reaches a policy or record. + with pytest.raises( + ValueError, match="tie_break: 99 is not a value of EdgeTieBreak" + ): + ngc.PathSelection(ngc.EdgeTieBreak(99), ngc.EdgePriority.CAPACITY) + with pytest.raises(ValueError, match="priority: 99 is not a value of EdgePriority"): + ngc.PathSelection(ngc.EdgeTieBreak.DETERMINISTIC, ngc.EdgePriority(99)) + for routing in (ngc.CostOnly(), ngc.CapacityAware(), ngc.Global()): + with pytest.raises( + ValueError, match="placement: 99 is not a value of FlowPlacement" + ): + config(routing, ngc.FlowPlacement(99)) + with pytest.raises( + ValueError, match="admission: 99 is not a value of Admission" + ): + config(routing, ngc.FlowPlacement.MAX_FLOW, ngc.Admission(99)) + for valid in ngc.FlowPlacement.__members__.values(): + assert config(ngc.CostOnly(), valid).placement == valid + + +def test_placement_result_fields_and_outputs(): + g = diamond() + fg = ngc.FlowLedger(g) + pol = ngc.FlowPolicy(fg, [0], [3], config(ngc.CostOnly())) + r = pol.place(4) + assert (r.placed, r.remaining, r.termination) == (4, 0, T.COMPLETE) + assert r.local_outcomes == [(0, T.COMPLETE)] + assert (r.routes_changed, r.weights_changed, r.drops) == (True, False, []) + assert r.cost_distribution is None + assert ( + r.edge_flows is None + and r.residual is None + and r.bottleneck is None + and r.min_cut is None + ) + r = pol.place( + INF, ngc.OutputOptions(edge_flows=True, residual=True, bottleneck=True) + ) + assert (r.placed, r.remaining, r.termination) == (3, INF, T.EXHAUSTED) + assert r.edge_flows.dtype == np.int64 and r.residual.dtype == np.int64 + assert list(r.residual) == list(fg.residual()) + own = [0] * 4 + for rec in pol.records(): + for e, x in rec.edges: + own[e] += x + assert list(r.edge_flows) == own + assert r.bottleneck == fg.bottleneck(0) + assert r.min_cut is None # Global only + assert pol.placed_demand() == 7 + with pytest.raises(ValueError, match="integer units or"): + pol.place(1.5) + with pytest.raises(ValueError, match=r"after \+inf"): + pol.place(np.int64(1)) + pol.remove() + assert pol.records() == [] and list(fg.allocated()) == [0, 0, 0, 0] + assert pol.place(np.int64(2)).placed == 2 + # Global: the marginal curve; min_cut with bottleneck. + fg2 = ngc.FlowLedger(diamond(5, 3, 2)) + gl = ngc.FlowPolicy(fg2, 0, 3, GLOBAL) + r = gl.place(INF, ngc.OutputOptions(bottleneck=True)) + assert r.cost_distribution == [(2, 5), (4, 3)] + assert sorted(r.min_cut) == ids(diamond(5, 3, 2), [0, 2]) + assert [rec.delivered for rec in gl.records()] == [8] + + +def test_lifetimes_keep_alive_and_orphans(): + g = diamond() + fg = ngc.FlowLedger(g) + el = g.eligibility(excluded_edges=ids(g, [2])) + cache = ngc.DagCache(g) + pol = ngc.FlowPolicy(fg, 0, 3, config(ngc.CostOnly()), el, cache) + del fg, el, cache + gc.collect() + assert ( + pol.place(10).placed == 5 + ) # the ledger, the Eligibility and the cache are alive + fg2 = ngc.FlowLedger(g) + p = ngc.FlowPolicy(fg2, 0, 3, config(ngc.CostOnly())) + p.place(2) + del p + gc.collect() + if HOOKS: + assert fg2._state()["orphans"] == [0] + assert fg2.records()[0].delivered == 2 + with pytest.raises(ValueError, match="bound"): + q = ngc.FlowPolicy(fg2, 0, 3, config(ngc.CostOnly())) + fg2.reset() + del q + gc.collect() + fg2.reset() + assert fg2.records() == [] + + +def test_pinned_usable_bundles_and_records(): + g = diamond() + fg = ngc.FlowLedger(g) + r1, r2 = dag(g, ids(g, [0, 1])), dag(g, ids(g, [2, 3])) + el = g.eligibility(excluded_edges=ids(g, [3])) + pol = ngc.FlowPolicy(fg, 0, 3, config(ngc.Pinned([r1, r2])), el) + assert pol.usable_bundles() == 1 + r = pol.place(9) + assert (r.placed, r.termination) == (5, T.EXHAUSTED) + rec = pol.records()[0] + assert rec.bundle == r1 and pol.record(rec.flow_id).delivered == 5 + # record() reads the policy's own records only (section 8: a policy's records). + other = ngc.FlowPolicy(fg, 0, 3, config(ngc.Pinned([r1]))) + other.place(1) + with pytest.raises(ValueError, match="not a record of this policy"): + pol.record(other.records()[0].flow_id) + assert fg.record(other.records()[0].flow_id).delivered == 0 + with pytest.raises(ValueError, match="another ledger"): + pol.record((ngc.FlowLedger(g).uid(), 0)) + pol.remove() + with pytest.raises(ValueError, match="retired or unknown"): + pol.record(rec.flow_id) + all_down = ngc.FlowPolicy( + fg, 0, 3, config(ngc.Pinned([r2])), g.eligibility(excluded_edges=ids(g, [3])) + ) + assert all_down.usable_bundles() == 0 + r = all_down.place(1) + assert (r.placed, r.termination, r.local_outcomes) == (0, T.NO_ROUTE, []) + + +def test_dag_cache_statistics_and_projection(): + g = diamond() + cache = ngc.DagCache(g) + fg = ngc.FlowLedger(g) + a = ngc.FlowPolicy(fg, 0, 3, config(ngc.CostOnly()), None, cache) + b = ngc.FlowPolicy( + fg, + 0, + 3, + config( + ngc.CostOnly(), + selection=sel( + ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, + ngc.EdgePriority.RESIDUAL, + False, + False, + ), + ), + None, + cache, + ) + s = cache.stats() + assert (s.hits, s.misses, s.entries, s.live_values) == (1, 1, 1, 1) + assert s.bytes > 0 + assert a.place(2).placed == 2 and b.place(2).placed == 2 + cache.clear() + s = cache.stats() + assert (s.hits, s.misses, s.entries, s.bytes) == (1, 1, 0, 0) + assert s.live_values == 1 # held by the policies + assert cache.graph_uid() == g.uid() + + +def test_capacity_batch_and_workers(monkeypatch): + g = diamond(5, 3) + opts = ngc.CapacityOptions(GLOBAL, outputs=ngc.OutputOptions(edge_flows=True)) + r = ngc.capacity(g, 0, 3, opts) + assert (r.placed, r.termination, r.cost_distribution) == (8, T.EXHAUSTED, [(2, 8)]) + assert int(np.sum(r.edge_flows)) == 16 + common = g.eligibility(excluded_edges=ids(g, [3])) + pairs = [(0, 3), ([0], [3]), (1, 3), (0, [1, 2])] + per = [None, g.eligibility(excluded_edges=ids(g, [0])), None, None] + want = [5, 0, 5, 8] + for workers in (1, 3, None): + got = ngc.batch_capacity( + g, pairs, ngc.CapacityOptions(GLOBAL, elig=common), per, workers + ) + assert [x.placed for x in got] == want + monkeypatch.setenv("NGRAPH_CORE_BATCH_THREADS", "4") + got = ngc.batch_capacity(g, pairs, ngc.CapacityOptions(GLOBAL, elig=common), per) + assert [x.placed for x in got] == want + assert ngc.batch_capacity(g, [], ngc.CapacityOptions(GLOBAL)) == [] + with pytest.raises(ValueError, match="node 7"): + ngc.batch_capacity( + g, [(0, 3), (0, 7), (0, 8)], ngc.CapacityOptions(GLOBAL), workers=4 + ) + with pytest.raises(ValueError, match="per_pair_elig has 1 entries"): + ngc.batch_capacity(g, pairs, ngc.CapacityOptions(GLOBAL), [None]) + with pytest.raises(ValueError, match="Pinned"): + ngc.batch_capacity( + g, pairs, ngc.CapacityOptions(config(ngc.Pinned([dag(g, ids(g, [0, 1]))]))) + ) + cache = ngc.DagCache(g) + eb = ngc.CapacityOptions(config(ngc.CostOnly()), cache=cache) + with pytest.raises(ValueError, match="workers == 1"): + ngc.batch_capacity(g, pairs, eb, workers=2) + got = ngc.batch_capacity( + g, pairs, eb + ) # None with a cache: 1 worker, even with the env set + assert [x.placed for x in got] == [7, 7, 5, 7] # EB: [4, 3] over links of 5 and 3 + with pytest.raises(ValueError, match="workers"): + ngc.batch_capacity(g, pairs, ngc.CapacityOptions(GLOBAL), workers=0) + + +def test_sensitivity_candidates_losses_and_unevaluable(): + # Global: an unsaturated critical edge appears (rule 1). + g = build(3, [(0, 1, 9, 1), (1, 2, 4, 1), (0, 2, 2, 5)]) + s = ngc.sensitivity(g, 0, 2, ngc.SensitivityOptions(GLOBAL)) + assert s.baseline.placed == 6 + pos = g.input_index() + assert {int(pos[e.edge]): e.loss for e in s.entries} == {0: 4, 1: 4, 2: 2} + assert all( + e.status == ngc.SensitivityStatus.EVALUATED and e.reason is None + for e in s.entries + ) + # A policy model: signed losses; zero-capacity edges absent. + p = build(2, [(0, 1, 1, 1), (0, 1, 10, 1), (0, 1, 0, 1)]) + opts = ngc.SensitivityOptions(config(ngc.CostOnly())) + s = ngc.sensitivity(p, 0, 1, opts, workers=2) + assert s.baseline.placed == 2 + pos = p.input_index() + assert {int(pos[e.edge]): e.loss for e in s.entries} == {0: -8, 1: 1} + with pytest.raises(ValueError, match="both endpoint sets"): + ngc.sensitivity(p, 0, 0, opts) + + +@needs_hooks +def test_sensitivity_reports_a_model_exception_as_unevaluable(): + # No valid configuration raises under a deletion; the private hook injects one (rule 1). + p = build(2, [(0, 1, 1, 1), (0, 1, 10, 1), (0, 1, 0, 1)]) + opts = ngc.SensitivityOptions(config(ngc.CostOnly())) + ext._sensitivity_fail_edge(ids(p, [1])[0]) + try: + s = ngc.sensitivity(p, 0, 1, opts) + finally: + ext._sensitivity_fail_edge(None) + bad = [e for e in s.entries if e.status == ngc.SensitivityStatus.UNEVALUABLE] + assert len(bad) == 1 and bad[0].loss is None and "injected" in bad[0].reason + + +def _state_of(policy, ledger): + return ( + policy.placed_demand(), + len(ledger.records()), + policy._state()["requested"], + [int(x) for x in ledger.allocated()], + ) + + +@needs_hooks +@pytest.mark.parametrize("routing", ["costonly", "global"]) +@pytest.mark.parametrize("traced", [False, True]) +def test_python_publication_is_all_or_nothing(routing, traced): + # review-1c F2: every Python object of a placement exists before anything is published, so + # the k-th Python allocation failing raises with the ledger and the policy unchanged, never + # crashes, and a retry places once. + cfg = GLOBAL if routing == "global" else config(ngc.CostOnly()) + g = build(2, [(0, 1, 10, 1)]) + ledger = ngc.FlowLedger(g) + want = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg).place(3).cost_distribution + reached = 0 + for k in range(400): + ledger = ngc.FlowLedger(g) + policy = ngc.FlowPolicy(ledger, 0, 1, cfg) + fn = policy._place_traced if traced else policy.place + before = _state_of(policy, ledger) + hit, _, value, error = ext._fail_python_allocation(fn, (3,), k) + if not hit: + assert error is None + r = value[0] if traced else value + assert (r.placed, r.cost_distribution) == (3, want) + break + reached += 1 + if ( + error is None + ): # a failure inside Python that the call absorbed (none expected) + continue + assert isinstance(error, (MemoryError, RuntimeError)), repr(error) + assert _state_of(policy, ledger) == before + r = fn(3) + r = r[0] if traced else r + assert r.placed == 3 and policy.placed_demand() == 3 + else: + pytest.fail("the call never completed") + assert reached >= 3 # not vacuous + + +@needs_hooks +def test_evaluator_results_survive_python_allocation_failures(): + # The evaluators publish nothing; their result objects are made through the checked path + # too, so a failed Python allocation raises instead of crashing. + g = diamond(5, 3) + calls = [ + (ngc.capacity, (g, 0, 3, ngc.CapacityOptions(GLOBAL))), + (ngc.batch_capacity, (g, [(0, 3), (1, 3)], ngc.CapacityOptions(GLOBAL))), + (ngc.sensitivity, (g, 0, 3, ngc.SensitivityOptions(GLOBAL))), + ] + for fn, args in calls: + for k in range(400): + hit, _, _, error = ext._fail_python_allocation(fn, args, k) + if not hit: + assert error is None + break + assert error is None or isinstance(error, (MemoryError, RuntimeError)) + else: + pytest.fail(f"{fn.__name__} never completed") + + +def test_batch_reports_the_lowest_failing_pair(): + # review-1c F3: the arguments first, then each pair completely in pair order, across the + # Python/C++ boundary. + g = build(2, [(0, 1, 3, 7)]) + opts = ngc.CapacityOptions(GLOBAL) + with pytest.raises(ValueError, match="node 0 is in both endpoint sets"): + ngc.batch_capacity(g, [(0, 0), (2, 1)], opts, workers=2) + with pytest.raises(ValueError, match="node 2 out of node range"): + ngc.batch_capacity(g, [(0, 1), (2, 1), (0, 0)], opts) + other = build(2, [(0, 1, 3, 7)]).eligibility() + with pytest.raises(ValueError, match=r"per_pair_elig\[0\]"): + ngc.batch_capacity(g, [(0, 1), (2, 1)], opts, per_pair_elig=[other, None]) + with pytest.raises(TypeError, match="per_pair_elig entries"): + ngc.batch_capacity(g, [(0, 1), (2, 1)], opts, per_pair_elig=[3, None]) + with pytest.raises(ValueError, match="node 2 out of node range"): + ngc.batch_capacity(g, [(0, 1), (2, 1)], opts, per_pair_elig=[None, 3]) + # An argument error comes before every pair error. + with pytest.raises(ValueError, match="workers"): + ngc.batch_capacity(g, [(0, 0)], opts, workers=0) + + +def test_batch_checks_an_explicit_empty_eligibility_list(): + # review-1c F4: a given per_pair_elig has one entry per pair, also when it is empty. + g = build(2, [(0, 1, 3, 7)]) + opts = ngc.CapacityOptions(GLOBAL) + with pytest.raises(ValueError, match="per_pair_elig has 0 entries for 1 pairs"): + ngc.batch_capacity(g, [(0, 1)], opts, per_pair_elig=[]) + assert ngc.batch_capacity(g, [], opts, per_pair_elig=[]) == [] + assert [ + r.placed for r in ngc.batch_capacity(g, [(0, 1)], opts, per_pair_elig=[None]) + ] == [3] + + +def test_global_zero_call_reports_the_cumulative_curve(): + # review-1c F5: 9.1's curve is cumulative (its amounts sum to placed_demand()); a zero call + # reports it ([] before the first placement and after remove()), changes nothing and claims + # no cut. + g = build(2, [(0, 1, 3, 7)]) + ledger = ngc.FlowLedger(g) + p = ngc.FlowPolicy(ledger, 0, 1, GLOBAL) + assert p.place(0).cost_distribution == [] + assert p.place(2).cost_distribution == [(7, 2)] + z = p.place(0, ngc.OutputOptions(edge_flows=True, residual=True, bottleneck=True)) + assert (z.placed, z.cost_distribution, z.min_cut) == (0, [(7, 2)], None) + assert p.placed_demand() == 2 and [int(x) for x in ledger.allocated()] == [2] + p.remove() + assert p.place(0).cost_distribution == [] diff --git a/tests/py/test_flow_policy_fixtures.py b/tests/py/test_flow_policy_fixtures.py new file mode 100644 index 0000000..e971418 --- /dev/null +++ b/tests/py/test_flow_policy_fixtures.py @@ -0,0 +1,342 @@ +"""Prototype 2's 59 fixtures replayed through the bindings (APPROACH 8, 9). + +``tests/data/policy_fixtures.json`` was exported from the reference, prototype 2 of the design +tree (its ``source`` names it; the design tree is untracked by design; its maintained exporter +is ``equivalence/export_policy_fixtures.py`` there): every ledger, policy +and call of every fixture in order, with the prototype's values after each operation. The +replay asserts every one of them on the build: each call's result (placed, remaining, +termination, local outcomes, flags, drops, the cost curve and the requested outputs), its +trace (prototype 2's keys: offers, created, per source the creation reservations, reroute +decisions, amounts and growth steps; Global's view, cap, flow-core payload and shares), the +ledger after it (allocations, residuals, every record field, next FlowId, owners) and the +policy state (roster, requested, +inf, placed demand, usable bundles, per source the flows' +ids, routes, T, deliveries, allocations, members and weights). An operation the prototype +rejects must raise here too (the messages differ). Normalised on both sides: the T_max probe +counts, the flow core's operation counters and ledger uids. The replay reads the trace and sets +the creation cap through the private hooks, so it is skipped without them. +""" + +from __future__ import annotations + +import gc +import json +import math +from pathlib import Path + +import _netgraph_core as ext +import pytest +from private_hooks import needs_hooks + +import netgraph_core as ngc + +DATA = Path(__file__).resolve().parents[1] / "data" / "policy_fixtures.json" +FIXTURES = json.loads(DATA.read_text())["fixtures"] + +PLACEMENT = { + "MaxFlow": ngc.FlowPlacement.MAX_FLOW, + "Weighted": ngc.FlowPlacement.WEIGHTED, + "EqualBalanced": ngc.FlowPlacement.EQUAL_BALANCED, +} +PLACEMENT_NAME = {v: k for k, v in PLACEMENT.items()} +ADMISSION = {"Lossless": ngc.Admission.LOSSLESS, "Lossy": ngc.Admission.LOSSY} +ADMISSION_NAME = {v: k for k, v in ADMISSION.items()} +TIE = { + "Deterministic": ngc.EdgeTieBreak.DETERMINISTIC, + "PreferHigherPriority": ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, +} +PRIORITY = { + "Residual": ngc.EdgePriority.RESIDUAL, + "Capacity": ngc.EdgePriority.CAPACITY, + "Headroom": ngc.EdgePriority.HEADROOM, +} + + +def norm(x): + """String map keys; probe counts, counters and ledger uids dropped; FlowIds as ids.""" + if isinstance(x, dict): + out = {} + for k, v in x.items(): + if k in ("evals", "ledger_uid", "counters", "evaluations"): + continue + if ( + k in ("flow_id", "flow") + and isinstance(v, (list, tuple)) + and len(v) == 2 + ): + out[str(k)] = v[1] + continue + out[str(k)] = norm(v) + return out + if isinstance(x, (list, tuple)): + return [norm(v) for v in x] + return x + + +def build_graph(spec): + edges = spec["edges"] + g = ngc.Graph( + spec["n"], + [e[0] for e in edges], + [e[1] for e in edges], + [e[2] for e in edges], + [e[3] for e in edges], + spec["q"], + ) + assert list(g.input_index()) == spec["input_index"] + return g + + +def dag_of(g, edges): + per = [[] for _ in range(g.num_nodes())] + for e in sorted(edges): + per[int(g.edge_dst()[e])].append(e) + offsets, parents, via = [0], [], [] + for v in range(g.num_nodes()): + for e in per[v]: + parents.append(int(g.edge_src()[e])) + via.append(e) + offsets.append(len(via)) + return ngc.PredDAG.from_csr(g, offsets, parents, via) + + +def config_of(g, c): + r = c["routing"] + kind = r["kind"] + if kind == "CostOnly": + routing = ngc.CostOnly() + elif kind == "Global": + routing = ngc.Global() + elif kind == "Pinned": + routing = ngc.Pinned([dag_of(g, b) for b in r["bundles"]]) + else: + ceiling = None + if r["max_path_cost"] is not None: + name, value = r["max_path_cost"] + ceiling = ngc.Absolute(value) if name == "Absolute" else ngc.Stretch(value) + dim = ( + None + if r["diminishing"] is None + else ngc.DiminishingReturns(*r["diminishing"]) + ) + routing = ngc.CapacityAware( + flow_count=r["flow_count"], + max_flow_count=r["max_flow_count"], + max_path_cost=ceiling, + min_flow_bandwidth=r["min_flow_bandwidth"], + reoptimize=r["reoptimize"], + diminishing=dim, + ) + sel = c["selection"] + return ngc.FlowPolicyConfig( + routing=routing, + placement=PLACEMENT[c["placement"]], + admission=ADMISSION[c["admission"]], + selection=ngc.PathSelection( + TIE[sel["tie_break"]], + PRIORITY[sel["priority"]], + sel["multipath"], + sel["multi_edge"], + ), + ) + + +def result_json(r): + out = { + "placed": r.placed, + "remaining": "inf" if r.remaining == math.inf else r.remaining, + "termination": r.termination.name.lower(), + "routes_changed": r.routes_changed, + "weights_changed": r.weights_changed, + "drops": [[e, x] for e, x in r.drops], + "local_outcomes": [[s, o.name.lower()] for s, o in r.local_outcomes], + } + if r.cost_distribution is not None: + out["cost_distribution"] = [[c, u] for c, u in r.cost_distribution] + for name in ("edge_flows", "residual", "bottleneck", "min_cut"): + value = getattr(r, name) + if value is not None: + out[name] = [int(x) for x in value] + return out + + +def ledger_json(fg): + st = fg._state() + return { + "allocated": [int(x) for x in fg.allocated()], + "residual": [int(x) for x in fg.residual()], + "records": [ + { + "flow_id": r.flow_id[1], + "owner": r.owner, + "sources": list(r.sources), + "destinations": list(r.destinations), + "placement": PLACEMENT_NAME[r.placement], + "admission": ADMISSION_NAME[r.admission], + "bundle": sorted(int(e) for e in r.bundle.via_edges()), + "route_cost": r.route_cost, + "offered": r.offered, + "delivered": r.delivered, + "edges": [[e, x] for e, x in r.edges], + "drops": [[e, x] for e, x in r.drops], + } + for r in fg.records() + ], + "next_flow_id": st["next_flow_id"], + "bound": list(st["bound"]), + "orphans": list(st["orphans"]), + } + + +def policy_json(pol): + st = pol._state() + lossy = pol.config.admission == ngc.Admission.LOSSY + cohorts = [] + for s, flows in sorted(st["cohorts"].items()): + if not flows: + continue + out = [] + for f in flows: + members = list(f["route"] if f["members"] is None else f["members"]) + weights = None + if f["weights"] is not None: + weights = [[e, w] for e, w in zip(members, f["weights"], strict=True)] + out.append( + { + "id": f["flow_id"][1], + "route": list(f["route"]), + "T": None if lossy else f["T"], + "delivered": f["delivered"], + "alloc": [[e, x] for e, x in f["alloc"]], + "members": members, + "weights": weights, + } + ) + cohorts.append([s, out]) + return { + "roster": list(st["roster"]), + "requested": st["requested"], + "infinite": st["infinite"], + "placed_demand": st["placed_demand"], + "usable": pol.usable_bundles(), + "cohorts": cohorts, + } + + +def replay(fx): + graphs = [build_graph(spec) for spec in fx["graphs"]] + ledgers: dict[int, object] = {} + policies: dict[int, object] = {} + alive = [] + curves: dict[ + int, list + ] = {} # per policy: the cumulative Global curve of the epoch (F5) + for i, op in enumerate(fx["ops"]): + where = f"{fx['name']} op {i} ({op['op']})" + kind = op["op"] + expect = op.get("expect", {}) + if kind == "ledger": + g = graphs[op["graph"]] + if op["error"]: + with pytest.raises((ValueError, TypeError)): + ngc.FlowLedger(g, op["baseline"]) + continue + ledgers[op["id"]] = ngc.FlowLedger(g, op["baseline"]) + continue + if kind == "copy": + src = ledgers[op["ledger"]] + if op["error"]: + with pytest.raises((ValueError, TypeError)): + src.copy() + assert ledger_json(src) == expect["ledger"], where + continue + ledgers[op["id"]] = src.copy() + assert ledger_json(ledgers[op["id"]]) == expect["ledger"], where + continue + if kind == "reset": + fg = ledgers[op["ledger"]] + if op["error"]: + with pytest.raises((ValueError, TypeError)): + fg.reset(op["baseline"]) + else: + fg.reset(op["baseline"]) + assert ledger_json(fg) == expect["ledger"], where + continue + if kind == "policy": + fg = ledgers[op["ledger"]] + g = fg.graph() + + def construct(op=op, fg=fg, g=g): + elig = None + if op["elig"] is not None: + elig = g.eligibility( + excluded_nodes=op["elig"]["nodes"], + excluded_edges=op["elig"]["edges"], + ) + cfg = config_of(g, op["config"]) + return ngc.FlowPolicy(fg, op["sources"], op["destinations"], cfg, elig) + + if op["error"]: + with pytest.raises((ValueError, TypeError)): + construct() + continue + pol = construct() + alive.append(pol) + policies[op["id"]] = (pol, fg) + curves[op["id"]] = [] + assert policy_json(pol) == expect["policy"], where + continue + pol, fg = policies[op["policy"]] + if kind == "remove": + pol.remove() + curves[op["policy"]] = [] + assert ledger_json(fg) == expect["ledger"], where + assert policy_json(pol) == expect["policy"], where + continue + if kind == "destroy": + # The destruction law: dropping the last reference orphans the records. + alive[:] = [x for x in alive if x is not pol] + policies[op["policy"]] = None + del pol + gc.collect() + assert ledger_json(fg) == expect["ledger"], where + continue + assert kind == "place", where + volume = math.inf if op["volume"] == "inf" else op["volume"] + outputs = None + if op["outputs"] is not None: + e, r, b = op["outputs"] + outputs = ngc.OutputOptions(edge_flows=e, residual=r, bottleneck=b) + old = ext._max_flows_per_call(op["cap"]) + try: + if op["error"]: + with pytest.raises((ValueError, TypeError)): + pol.place(volume, outputs) + assert ledger_json(fg) == expect["ledger"], where + continue + r, trace = pol._place_traced(volume, outputs) + finally: + ext._max_flows_per_call(old) + got = result_json(r) + if isinstance(pol.config.routing, ngc.Global): + # Contract over prototype (1c NOTES P3, review-1c F5): a Global zero call reports + # the cumulative curve (9.1), which prototype 2 omits; it must equal the curve of the + # epoch's last positive call ([] before any), and only then is it set aside. + if volume == 0 and "cost_distribution" not in expect["result"]: + assert got.pop("cost_distribution") == curves[op["policy"]], where + if "cost_distribution" in expect["result"]: + curves[op["policy"]] = expect["result"]["cost_distribution"] + assert got == expect["result"], where + assert norm(trace) == expect["trace"], where + assert ledger_json(fg) == expect["ledger"], where + assert policy_json(pol) == expect["policy"], where + + +def test_the_data_holds_every_fixture(): + assert len(FIXTURES) == 59 + assert len({fx["name"] for fx in FIXTURES}) == 59 + + +@needs_hooks +@pytest.mark.parametrize("fx", FIXTURES, ids=[fx["name"] for fx in FIXTURES]) +def test_fixture(fx): + replay(fx) diff --git a/tests/py/test_graph.py b/tests/py/test_graph.py index 79a5c08..19826b9 100644 --- a/tests/py/test_graph.py +++ b/tests/py/test_graph.py @@ -1,4 +1,4 @@ -"""StrictMultiDiGraph on integer units (APPROACH 3): construction, validation order, B' ids, +"""Graph on integer units (APPROACH 3): construction, validation order, B' ids, read-only views, Eligibility.""" from __future__ import annotations @@ -25,7 +25,7 @@ def build(n, edges, q=1.0): - return ngc.StrictMultiDiGraph( + return ngc.Graph( n, [e[0] for e in edges], [e[1] for e in edges], @@ -96,7 +96,7 @@ def test_views_are_read_only_and_keep_the_graph_alive(): def test_numpy_integer_inputs_and_exact_large_units(): big = (1 << 53) + 1 - g = ngc.StrictMultiDiGraph( + g = ngc.Graph( np.int64(2), np.array([0, 0], dtype=np.int32), np.array([1, 1], dtype=np.uint8), @@ -109,10 +109,10 @@ def test_numpy_integer_inputs_and_exact_large_units(): def test_empty_and_isolated(): - g = ngc.StrictMultiDiGraph(0, [], [], [], [], 1) + g = ngc.Graph(0, [], [], [], [], 1) assert g.row_offsets().tolist() == [0] and g.in_row_offsets().tolist() == [0] assert g.max_cost() == 0 and g.cost_gcd() == 0 - h = ngc.StrictMultiDiGraph(3, [], [], [], [], 1) + h = ngc.Graph(3, [], [], [], [], 1) assert h.row_offsets().tolist() == [0, 0, 0, 0] @@ -152,26 +152,26 @@ def test_uids_are_distinct(): ) def test_validation_errors(args, pattern): with pytest.raises(ValueError, match=pattern): - ngc.StrictMultiDiGraph(*args) + ngc.Graph(*args) def test_validation_order(): # The unit values before the shapes, the shapes before the costs, the costs before the # remaining bounds (endpoints and sums). with pytest.raises(ValueError, match="capacity_units"): - ngc.StrictMultiDiGraph(2, [0, 1], [1], [-1], [1], 1) + ngc.Graph(2, [0, 1], [1], [-1], [1], 1) with pytest.raises(ValueError, match="same length"): - ngc.StrictMultiDiGraph(2, [0, 1], [1], [1], [0], 1) + ngc.Graph(2, [0, 1], [1], [1], [0], 1) with pytest.raises(ValueError, match="cost"): - ngc.StrictMultiDiGraph(2, [0], [9], [1], [0], 1) + ngc.Graph(2, [0], [9], [1], [0], 1) with pytest.raises(ValueError, match="cost"): - ngc.StrictMultiDiGraph(2, [0, 0], [1, 1], [L62 // 2, L62 // 2], [0, 1], 1) + ngc.Graph(2, [0, 0], [1, 1], [L62 // 2, L62 // 2], [0, 1], 1) with pytest.raises(ValueError, match="node range"): - ngc.StrictMultiDiGraph(2, [0, 5], [1, 1], [L62 // 2, L62 // 2], [1, 1], 1) + ngc.Graph(2, [0, 5], [1, 1], [L62 // 2, L62 // 2], [1, 1], 1) def test_bounds_just_below_are_accepted(): - g = ngc.StrictMultiDiGraph( + g = ngc.Graph( 2, [0, 0], [1, 1], [L62 // 2, L62 // 2 - 1], [L62 // 2, L62 // 2 - 1], 1 ) assert sum(int(x) for x in g.capacity_units()) == L62 - 1 @@ -251,7 +251,7 @@ def test_eligibility(): ) def test_validation_order_before_narrowing(args, pattern): with pytest.raises(ValueError, match=pattern): - ngc.StrictMultiDiGraph(*args) + ngc.Graph(*args) def test_validation_independent_of_representation(): @@ -268,15 +268,13 @@ def test_validation_independent_of_representation(): messages = [] for args in (as_lists, as_arrays): with pytest.raises(ValueError) as info: - ngc.StrictMultiDiGraph(*args) + ngc.Graph(*args) messages.append(str(info.value)) assert ( messages[0] == messages[1] == "cost[0] = 0: costs must be positive (cost >= 1)" ) with pytest.raises(ValueError, match=r"endpoint \(9223372036854775808, 1\)"): - ngc.StrictMultiDiGraph( - 2, np.array([2**63], dtype=np.uint64), [1], [1], [1], 1.0 - ) + ngc.Graph(2, np.array([2**63], dtype=np.uint64), [1], [1], [1], 1.0) def test_eligibility_ids_checked_before_narrowing(): @@ -309,7 +307,7 @@ def test_array_rank_is_a_shape_defect_before_costs(name, ndim, cost): args[ARG_INDEX[name]] = bad.reshape(1, 1) if ndim == 2 else bad pattern = rf"^{name} must be a 1-D array \(got {ndim} dimensions\)$" with pytest.raises(ValueError, match=pattern): - ngc.StrictMultiDiGraph(*args) + ngc.Graph(*args) @pytest.mark.parametrize("name", list(ARG_INDEX)) @@ -320,39 +318,37 @@ def test_nested_and_scalar_arguments_are_shape_defects(name): with pytest.raises( ValueError, match=rf"^{name} must be a 1-D sequence of integers \(entry 0" ): - ngc.StrictMultiDiGraph(*nested) + ngc.Graph(*nested) scalar = [2, [0], [1], [1], [0], 1.0] scalar[ARG_INDEX[name]] = value with pytest.raises( ValueError, match=rf"^{name} must be a 1-D sequence of integers \(got int\)$" ): - ngc.StrictMultiDiGraph(*scalar) + ngc.Graph(*scalar) def test_shape_step_keeps_its_place_in_the_order(): # The resolution and the unit values still come before the shapes, whatever the shape. with pytest.raises(ValueError, match="resolution"): - ngc.StrictMultiDiGraph(2, np.array([[0]]), [1], [1], [0], 3.0) + ngc.Graph(2, np.array([[0]]), [1], [1], [0], 3.0) with pytest.raises( ValueError, match=r"capacity_units\[0\] = 4611686018427387904 is outside" ): - ngc.StrictMultiDiGraph( - 2, [0], [1], np.array([[2**62]], dtype=np.int64), [0], 1.0 - ) + ngc.Graph(2, [0], [1], np.array([[2**62]], dtype=np.int64), [0], 1.0) with pytest.raises(ValueError, match=r"capacity_units\[0\] = -1 is outside"): - ngc.StrictMultiDiGraph(2, [0], [1], np.array(-1, dtype=np.int64), [0], 1.0) + ngc.Graph(2, [0], [1], np.array(-1, dtype=np.int64), [0], 1.0) with pytest.raises(ValueError, match=r"capacity_units\[1\] = -5 is outside"): - ngc.StrictMultiDiGraph(2, [0], [1], [[1], -5], [0], 1.0) + ngc.Graph(2, [0], [1], [[1], -5], [0], 1.0) with pytest.raises(ValueError, match=r"capacity_units = -5 is outside"): - ngc.StrictMultiDiGraph(2, [0], [1], -5, [0], 1.0) + ngc.Graph(2, [0], [1], -5, [0], 1.0) # With valid values the misshapen capacity is a shape defect, before the costs. with pytest.raises(ValueError, match="capacity_units must be a 1-D array"): - ngc.StrictMultiDiGraph(2, [0], [1], np.array([[1]]), [0], 1.0) + ngc.Graph(2, [0], [1], np.array([[1]]), [0], 1.0) # Rank before lengths. with pytest.raises(ValueError, match="dst must be a 1-D array"): - ngc.StrictMultiDiGraph(2, [0, 1], np.array([[1, 0]]), [1, 1], [1, 1], 1.0) + ngc.Graph(2, [0, 1], np.array([[1, 0]]), [1, 1], [1, 1], 1.0) # A valid graph from 1-D arrays of every integer kind still builds. - g = ngc.StrictMultiDiGraph( + g = ngc.Graph( 2, np.array([0]), np.array([1], dtype=np.uint8), np.array([7]), (3,), 1.0 ) assert g.capacity_units().tolist() == [7] diff --git a/tests/py/test_imports.py b/tests/py/test_imports.py deleted file mode 100644 index f60c017..0000000 --- a/tests/py/test_imports.py +++ /dev/null @@ -1,46 +0,0 @@ -"""The public surface of the 1b build: the graph on units, Eligibility, the conversions, the -route structures, the selection and placement axes and the ledger.""" - -import _netgraph_core - -import netgraph_core as ngc - -PUBLIC_1B = { - "StrictMultiDiGraph", - "Eligibility", - "to_units", - "as_float", - "PredDAG", - "Path", - "EdgeTieBreak", - "EdgePriority", - "PathSelection", - "FlowPlacement", - "Admission", - "FlowGraph", - "FlowRecord", -} - -# Private recorder entries: the flow core (1a), the single-bundle Pinned transaction, the -# internal search and the apportionment (1b). Never re-exported by netgraph_core. -PRIVATE_1B = { - "_place_global_units", - "_PinnedFlow", - "_spf", - "_round_robin", - "_highest_averages", -} - - -def test_public_surface(): - assert set(ngc.__all__) == PUBLIC_1B | {"__version__"} - for name in ngc.__all__: - assert hasattr(ngc, name) - assert isinstance(ngc.__version__, str) - - -def test_extension_surface_is_exactly_the_1b_set(): - names = {n for n in dir(_netgraph_core) if not n.startswith("__")} - assert names == PUBLIC_1B | PRIVATE_1B - for name in PRIVATE_1B: - assert not hasattr(ngc, name) diff --git a/tests/py/test_internal_search.py b/tests/py/test_internal_search.py index ded1a67..6685977 100644 --- a/tests/py/test_internal_search.py +++ b/tests/py/test_internal_search.py @@ -1,10 +1,11 @@ -"""The private entries of sub-PR 1b: the internal search (``_spf``, APPROACH 6) and the -apportionment (``_round_robin``, ``_highest_averages``, APPROACH 2.1).""" +"""The internal search through its private entry (``_spf``, APPROACH 6) and the apportionment +through the private hooks (``_round_robin``, ``_highest_averages``, APPROACH 2.1).""" from __future__ import annotations import _netgraph_core as ext import pytest +from private_hooks import needs_hooks import netgraph_core as ngc @@ -14,7 +15,7 @@ def build(n, edges, q=1.0): - return ngc.StrictMultiDiGraph( + return ngc.Graph( n, [e[0] for e in edges], [e[1] for e in edges], @@ -83,6 +84,7 @@ def test_search_validation(): ) +@needs_hooks def test_apportionment_entries(): assert ext._round_robin(7, 3) == [3, 2, 2] assert ext._highest_averages(10, [3, 9, 9]) == [1, 5, 4] diff --git a/tests/py/test_public_surface.py b/tests/py/test_public_surface.py new file mode 100644 index 0000000..638b980 --- /dev/null +++ b/tests/py/test_public_surface.py @@ -0,0 +1,140 @@ +"""The public surface: the graph on units, Eligibility, the conversions, the route structures, +the selection and placement axes, the ledger, the policy engine, the DagCache and the +evaluators; the extension's private entries, which netgraph_core never re-exports; and the +spellings the interface grooming retired (APPROACH 12), which exist nowhere, without aliases.""" + +import _netgraph_core +import pytest +from private_hooks import HOOKS + +import netgraph_core as ngc + +PUBLIC = { + "Graph", + "Eligibility", + "to_units", + "as_float", + "PredDAG", + "Path", + "EdgeTieBreak", + "EdgePriority", + "PathSelection", + "FlowPlacement", + "Admission", + "FlowLedger", + "FlowRecord", + "Absolute", + "Stretch", + "DiminishingReturns", + "CostOnly", + "CapacityAware", + "Global", + "Pinned", + "FlowPolicyConfig", + "OutputOptions", + "Termination", + "PlacementResult", + "FlowPolicy", + "MAX_FLOWS_PER_CALL", + "DagCache", + "DagCacheStats", + "CapacityOptions", + "SensitivityOptions", + "SensitivityStatus", + "SensitivityEntry", + "SensitivityResult", + "capacity", + "batch_capacity", + "sensitivity", +} + +# Shipped private entries: the flow core's recorder entry (APPROACH 2.2) and the internal search. +PRIVATE = {"_place_global_units", "_spf"} + +# The private hooks (NETGRAPH_CORE_PRIVATE_HOOKS: the development build only): module functions +# and class members. +HOOK_FUNCTIONS = { + "_max_flows_per_call", + "_sensitivity_fail_edge", + "_fail_python_allocation", + "_round_robin", + "_highest_averages", +} +HOOK_MEMBERS = { + "FlowLedger": {"_state"}, + "FlowPolicy": {"_place_traced", "_state", "_owner"}, +} + + +def test_public_surface(): + assert set(ngc.__all__) == PUBLIC | {"__version__"} + for name in ngc.__all__: + assert hasattr(ngc, name) + assert isinstance(ngc.__version__, str) + assert ngc.MAX_FLOWS_PER_CALL == 10000 + + +def test_extension_surface_is_exactly_the_public_and_private_sets(): + names = {n for n in dir(_netgraph_core) if not n.startswith("__")} + assert names == PUBLIC | PRIVATE | (HOOK_FUNCTIONS if HOOKS else set()) + for name in PRIVATE | HOOK_FUNCTIONS: + assert not hasattr(ngc, name) + # Every private class member is a hook (beside pybind11's own conduit); the hooks are all + # present or all absent. + for cls in PUBLIC: + obj = getattr(_netgraph_core, cls) + private = { + n + for n in dir(obj) + if n.startswith("_") + and not n.startswith("__") + and n != "_pybind11_conduit_v1_" + } + want = HOOK_MEMBERS.get(cls, set()) if HOOKS else set() + assert private == want, cls + + +# The 1a to 1c spellings renamed before 1d (APPROACH 12) and the old Python keyword: no alias. +RETIRED = { + "StrictMultiDiGraph", + "FlowGraph", + "Outputs", + "Diminishing", + "kMaxFlowsPerCall", +} + + +def test_retired_spellings_are_absent(): + for name in RETIRED: + assert not hasattr(_netgraph_core, name), name + assert not hasattr(ngc, name), name + assert ngc.Graph.__name__ == "Graph" + assert ngc.FlowLedger.__name__ == "FlowLedger" + assert ngc.OutputOptions.__name__ == "OutputOptions" + assert ngc.DiminishingReturns.__name__ == "DiminishingReturns" + + +def _config(): + return ngc.FlowPolicyConfig( + routing=ngc.CostOnly(), + placement=ngc.FlowPlacement.EQUAL_BALANCED, + admission=ngc.Admission.LOSSLESS, + selection=ngc.PathSelection( + ngc.EdgeTieBreak.DETERMINISTIC, ngc.EdgePriority.RESIDUAL + ), + ) + + +def test_policy_takes_its_ledger_by_the_ledger_keyword_only(): + g = ngc.Graph(2, [0], [1], [3], [1], 1.0) + ledger = ngc.FlowLedger(g) + p = ngc.FlowPolicy(ledger=ledger, sources=0, destinations=1, config=_config()) + assert p.place(2).placed == 2 + assert ledger.records()[0].delivered == 2 + # Positional order unchanged: the ledger first. + assert ngc.FlowPolicy(ledger, 0, 1, _config()).place(1).placed == 1 + with pytest.raises(TypeError): + ngc.FlowPolicy(flow_graph=ledger, sources=0, destinations=1, config=_config()) + with pytest.raises(ValueError, match="^ledger must be a FlowLedger$"): + ngc.FlowPolicy(None, 0, 1, _config()) + assert "ledger: _netgraph_core.FlowLedger" in ngc.FlowPolicy.__init__.__doc__ diff --git a/tests/py/test_route_structures.py b/tests/py/test_route_structures.py index 81530e3..5736486 100644 --- a/tests/py/test_route_structures.py +++ b/tests/py/test_route_structures.py @@ -15,7 +15,7 @@ def build(n, edges, q=1.0): - return ngc.StrictMultiDiGraph( + return ngc.Graph( n, [e[0] for e in edges], [e[1] for e in edges], @@ -114,7 +114,6 @@ def test_path_cost_hops_and_to_dag(): p = ngc.Path(g, [[1, 0], [3]]) assert (p.src(), p.dst(), p.cost()) == (0, 2, 2) assert p.hops() == [[1, 0], [3]] # the caller's member order is kept - assert p.nodes() == [0, 1, 2] dag = p.to_dag() assert list(dag.parent_offsets()) == [0, 0, 2, 3] assert list(dag.via_edges()) == [0, 1, 3] From a48ca9d7dd865794d86ec49d8717fc1ddf517230 Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Tue, 6 Oct 2026 14:59:38 -0700 Subject: [PATCH 06/39] Two small speed-ups, results unchanged - Weighted quota division: a 64-bit division when the dividend fits (kernel.weighted.clos 6 to 8 percent faster). - Graph constructor: stop computing the GCD once it reaches 1 (construct.clos about 4 percent faster). Both measured A/B/A against the 1c build; every result byte-identical; a test for each. Co-Authored-By: Claude Fable 5.1 --- include/netgraph/core/detail/int128.hpp | 3 ++ src/graph.cpp | 3 +- tests/cpp/graph_tests.cpp | 27 +++++++++++ tests/cpp/kernels_tests.cpp | 61 +++++++++++++++++++++++++ 4 files changed, 93 insertions(+), 1 deletion(-) diff --git a/include/netgraph/core/detail/int128.hpp b/include/netgraph/core/detail/int128.hpp index 9e92826..a487ad1 100644 --- a/include/netgraph/core/detail/int128.hpp +++ b/include/netgraph/core/detail/int128.hpp @@ -39,6 +39,9 @@ inline U128 mul_u64(std::uint64_t a, std::uint64_t b) noexcept { // floor(n / d) for d > 0 and a quotient below 2^64 (n.hi < d). inline std::uint64_t div_u128(U128 n, std::uint64_t d) noexcept { + // A dividend below 2^64 (the common lower quota) takes the 64-bit division: the same quotient + // without the 128-bit division helper. + if (n.hi == 0) return n.lo / d; const unsigned __int128 x = (static_cast(n.hi) << 64) | n.lo; return static_cast(x / d); } diff --git a/src/graph.cpp b/src/graph.cpp index 3cc2595..8ba5bee 100644 --- a/src/graph.cpp +++ b/src/graph.cpp @@ -126,7 +126,8 @@ Graph::Graph(std::int32_t num_nodes, ": costs must be positive (cost >= 1)"); } max_cost = std::max(max_cost, cost[i]); - cost_gcd = std::gcd(cost_gcd, cost[i]); + // A running GCD of 1 stays 1 (gcd(1, c) = 1): the remaining edges are only checked. + if (cost_gcd != 1) cost_gcd = std::gcd(cost_gcd, cost[i]); } // The remaining bounds. for (std::size_t i = 0; i < m; ++i) { diff --git a/tests/cpp/graph_tests.cpp b/tests/cpp/graph_tests.cpp index ee30dc0..3bc9712 100644 --- a/tests/cpp/graph_tests.cpp +++ b/tests/cpp/graph_tests.cpp @@ -134,6 +134,33 @@ TEST(Graph, ShapesOfEmptyAndIsolated) { EXPECT_EQ(g.cost_gcd(), 2); } +// The cost loop after the running GCD reaches 1: every later edge is still checked for a +// positive cost (in input order: the first bad index is named) and still counts for the +// maximum; the sums are still validated; the GCD stays 1, and 0 without edges. +TEST(Graph, CostChecksAndMaximumAfterTheGcdReachesOne) { + // The GCD is 1 from the second edge on; the maximum comes later. + auto g = build(2, {0, 0, 0, 0}, {1, 1, 1, 1}, {1, 1, 1, 1}, {3, 2, 9, 4}); + EXPECT_EQ(g.cost_gcd(), 1); + EXPECT_EQ(g.max_cost(), 9); + auto late = build(2, {0, 0, 0}, {1, 1, 1}, {1, 1, 1}, {4, 6, 9}); + EXPECT_EQ(late.cost_gcd(), 1); // 1 only at the last edge + EXPECT_EQ(late.max_cost(), 9); + auto ones = build(2, {0, 0, 0}, {1, 1, 1}, {1, 1, 1}, {1, 1, L62 / 4}); + EXPECT_EQ(ones.cost_gcd(), 1); + EXPECT_EQ(ones.max_cost(), L62 / 4); + EXPECT_EQ(build(2, {0}, {1}, {1}, {6}).cost_gcd(), 6); + EXPECT_EQ(build(2, {0, 0}, {1, 1}, {1, 1}, {6, 4}).cost_gcd(), 2); + EXPECT_EQ(build(0, {}, {}, {}, {}).cost_gcd(), 0); + // A non-positive cost after the GCD reached 1 is still found, at its own index. + const auto zero = error_of([] { (void)build(2, {0, 0, 0}, {1, 1, 1}, {1, 1, 1}, {2, 3, 0}); }); + EXPECT_TRUE(contains(zero, "cost[2] = 0")) << zero; + const auto negative = error_of([] { (void)build(2, {0, 0, 0, 0}, {1, 1, 1, 1}, {1, 1, 1, 1}, {1, 5, -7, 0}); }); + EXPECT_TRUE(contains(negative, "cost[2] = -7")) << negative; + // The cost sum after the GCD reached 1. + EXPECT_TRUE(contains(error_of([] { (void)build(2, {0, 0, 0}, {1, 1, 1}, {1, 1, 1}, {1, L62 / 2, L62 / 2}); }), + "sum of all edge costs")); +} + TEST(Graph, ExactUnitsAboveTwo53) { const Amount big = (Amount{1} << 53) + 1; auto g = make_graph(2, {{0, 1, big, 1}}); diff --git a/tests/cpp/kernels_tests.cpp b/tests/cpp/kernels_tests.cpp index 81c68c2..f8124cc 100644 --- a/tests/cpp/kernels_tests.cpp +++ b/tests/cpp/kernels_tests.cpp @@ -8,12 +8,15 @@ #include #include +#include +#include #include #include #include #include #include +#include "netgraph/core/detail/int128.hpp" #include "netgraph/core/detail/kernels.hpp" #include "netgraph/core/detail/pred_dag_builder.hpp" #include "test_utils.hpp" @@ -214,6 +217,64 @@ TEST(Apportion, HighestAveragesNearTheDomainBound) { } } +// The lower-quota division floor(n / d) on both sides of 2^64: dividends with a zero high word +// (the 64-bit path) and with a nonzero one (the 128-bit path), divisors near 1, near the units +// domain bound 2^62 (the call sites divide by a weight sum below it) and near 2^64, against the +// unsigned __int128 quotient and the defining bounds q * d <= n < (q + 1) * d. +TEST(Apportion, QuotaDivisionOnBothSidesOfTheSixtyFourBitBoundary) { + using u64 = std::uint64_t; + using u128 = unsigned __int128; + constexpr u64 kMax = std::numeric_limits::max(); + const auto domain = static_cast(kDomainLimit); + int narrow = 0, wide = 0; + auto check = [&](u64 hi, u64 lo, u64 d) { + ASSERT_GT(d, 0u); + ASSERT_LT(hi, d); // the quotient fits 64 bits + const u128 n = (static_cast(hi) << 64) | lo; + const u64 q = div_u128(U128 {hi, lo}, d); + ASSERT_EQ(q, static_cast(n / d)) << hi << ":" << lo << " / " << d; + const u128 qd = static_cast(q) * d; + ASSERT_TRUE(qd <= n && n - qd < d) << hi << ":" << lo << " / " << d; + ++(hi == 0 ? narrow : wide); + }; + const std::vector divisors = {1, 2, 3, 7, domain - 2, domain - 1, + domain, domain + 1, kMax / 2, kMax - 1, kMax}; + const std::vector lows = {0, 1, 2, 3, domain - 1, domain, u64 {1} << 63, kMax - 1, kMax}; + for (u64 d : divisors) { + for (u64 lo : lows) { + check(0, lo, d); + for (u64 hi : {u64 {1}, u64 {2}, d / 2, d - 2, d - 1}) { + if (hi > 0 && hi < d) check(hi, lo, d); + } + } + // The dividends next to a multiple of d on both sides of 2^64. + for (u64 q : {u64 {1}, u64 {2}, kMax / d, kMax - 1, kMax}) { + const u128 at = static_cast(q) * d; + for (u128 n : {at - 1, at, at + 1}) { + if (n >> 64 < d) check(static_cast(n >> 64), static_cast(n), d); + } + } + } + // The call-site shape: total * w / W with total and the weights below 2^62, W the weight sum. + for (u64 total : {u64 {1}, u64 {50}, domain - 2, domain - 1}) { + for (u64 w : {u64 {1}, u64 {3}, domain / 3, domain - 1}) { + for (u64 sum : {w, w + 1, domain - 1}) { + if (sum < w) continue; + const U128 n = mul_u64(total, w); + check(n.hi, n.lo, sum); + } + } + } + std::mt19937_64 rng(20261006); + for (int i = 0; i < 20000; ++i) { + const u64 d = i % 3 == 0 ? 1 + rng() % 4096 : (i % 3 == 1 ? 1 + rng() % (domain - 1) : 1 + rng() % kMax); + const u64 hi = i % 2 == 0 ? 0 : rng() % d; + check(hi, rng(), d); + } + EXPECT_GT(narrow, 10000); + EXPECT_GT(wide, 10000); +} + TEST(Apportion, HamiltonHoleControl) { // Weights [1, 3, 3] on members with view [0, 3, 3]: highest averages is feasible on 0..4 // (T_max = 4 exactly); Hamilton's rule has the hole at 3 ({0, 1, 2, 4}). From 3e1f3ea6eebb79aeccf9e259883d6e9b943f1602 Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Thu, 8 Oct 2026 08:17:30 -0700 Subject: [PATCH 07/39] Phase 1d: the public search, KSP and the frozen DagCache One traversal core now runs every search. The public spf searches from a set of roots, forward or reverse, optionally stopping at the nearest target. ksp lists the K shortest paths in the contract's order, and resolve_to_paths unfolds a DAG into paths. The DagCache gains a frozen mode that every worker of an evaluator can share. Hits are published when the call succeeds; a call ending in DagCacheMiss counts one miss. The Python bindings cover all of it, and the old search entry points are gone. CostOnly placement builds a new flow's route, record DAG and kernel plan in one pass over the cached support, with a few smaller cuts. NetGraph's MSD loop now takes about 3 % less time than 0.12 instead of 35 % more; results are unchanged. Evidence: after the independent review's fixes, the final gates pass with hooks on and off; the timed SPF rows take 9 to 82 % less time than 0.12. Co-Authored-By: Claude Opus 5.5 --- CHANGELOG.md | 39 +- CMakeLists.txt | 36 +- Makefile | 6 +- README.md | 27 +- bindings/python/module.cpp | 428 ++++- dev/cpp-tests.sh | 13 +- include/netgraph/core/dag_cache.hpp | 87 +- include/netgraph/core/detail/cache_access.hpp | 86 + include/netgraph/core/detail/endpoints.hpp | 14 +- include/netgraph/core/detail/enum_domain.hpp | 9 + .../netgraph/core/detail/evaluator_checks.hpp | 22 +- include/netgraph/core/detail/int128.hpp | 15 + include/netgraph/core/detail/kernels.hpp | 81 +- .../netgraph/core/detail/policy_engine.hpp | 8 + .../netgraph/core/detail/pred_dag_builder.hpp | 24 +- include/netgraph/core/detail/search.hpp | 126 -- include/netgraph/core/detail/traversal.hpp | 146 ++ include/netgraph/core/evaluators.hpp | 18 +- include/netgraph/core/flow_policy.hpp | 5 + include/netgraph/core/pred_dag.hpp | 3 + include/netgraph/core/search.hpp | 102 + python/netgraph_core/__init__.py | 35 +- python/netgraph_core/_docs.py | 261 ++- src/dag_cache.cpp | 70 +- src/evaluators.cpp | 89 +- src/flow_ledger.cpp | 40 + src/flow_policy.cpp | 247 +-- src/kernels.cpp | 408 +++- src/pred_dag.cpp | 69 +- src/search.cpp | 1650 +++++++++++++---- tests/cpp/cost_only_creation_tests.cpp | 535 ++++++ tests/cpp/dag_cache_tests.cpp | 477 +++++ tests/cpp/flow_ledger_tests.cpp | 115 ++ tests/cpp/flow_policy_fault_tests.cpp | 285 ++- tests/cpp/flow_policy_tests.cpp | 21 +- tests/cpp/kernels_tests.cpp | 19 +- tests/cpp/ksp_tests.cpp | 520 ++++++ tests/cpp/search_fault_tests.cpp | 254 +++ tests/cpp/search_reference.hpp | 206 ++ tests/cpp/search_tests.cpp | 860 +++++++-- tests/py/test_apportionment.py | 23 + tests/py/test_dag_cache.py | 357 ++++ tests/py/test_internal_search.py | 99 - tests/py/test_ksp.py | 198 ++ tests/py/test_public_surface.py | 43 +- tests/py/test_search.py | 224 +++ 46 files changed, 7275 insertions(+), 1125 deletions(-) create mode 100644 include/netgraph/core/detail/cache_access.hpp delete mode 100644 include/netgraph/core/detail/search.hpp create mode 100644 include/netgraph/core/detail/traversal.hpp create mode 100644 include/netgraph/core/search.hpp create mode 100644 tests/cpp/cost_only_creation_tests.cpp create mode 100644 tests/cpp/dag_cache_tests.cpp create mode 100644 tests/cpp/ksp_tests.cpp create mode 100644 tests/cpp/search_fault_tests.cpp create mode 100644 tests/cpp/search_reference.hpp create mode 100644 tests/py/test_apportionment.py create mode 100644 tests/py/test_dag_cache.py delete mode 100644 tests/py/test_internal_search.py create mode 100644 tests/py/test_ksp.py create mode 100644 tests/py/test_search.py diff --git a/CHANGELOG.md b/CHANGELOG.md index 285898c..2f74b4d 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -61,9 +61,33 @@ units), one flow core, one placement engine. It replaces the 0.11 API. `make_new_instance`, which does not check `tp_alloc`: a Python allocation failure there crashes the process, Core state unchanged), and a supplied building `DagCache`, a memo that keeps the complete entries and statistics of the lookups that succeeded before a failure. -- **DagCache**: `DagCache(graph)` in building mode: keyed by the root set, the direction and - the Eligibility, its values the full static supports (immutable, shared, valid after - `clear()`), with `stats()` (`hits`, `misses`, `entries`, `bytes`, `live_values`). +- **Search**: `spf(graph, roots, SpfOptions(direction, selection, targets=None, residual=None, + min_residual=1, elig=None))` returns `SpfResult`. It searches from a root set (every root at + distance 0), `Direction.FORWARD` or `REVERSE`. Without targets it settles every reachable node + and returns `costs` (`UNREACHABLE` for the nodes not reached) and the full DAG of tight edges, + the edges on some shortest path. With targets it stops at the nearest targets' cost and + returns `target_cost` and the DAG of the walks between the roots and a nearest target (for a + reverse search, from the target to a root). With + `multipath=False` it returns the canonical single path: the one walk that minimises cost, + then the bottleneck under `PREFER_HIGHER_PRIORITY`, then hops, then the edge-id sequence. A + residual adds residual gating, which keeps only the edges with at least `min_residual` + residual units. Every search runs on one traversal core, with a bucket queue when the cost + width allows and a heap otherwise. +- **KSP and paths**: `ksp(graph, src, dst, KspOptions(k, selection, max_path_cost=None, + residual=None, elig=None))` returns the K shortest simple paths as `(cost, Path)` pairs. They + come in increasing (cost, -bottleneck under `PREFER_HIGHER_PRIORITY`, hops, edge ids) order, + truncated at `k` and at an inclusive `Absolute` or `Stretch` ceiling. The selection's + `multi_edge` lists parallel members as separate paths (`True`) or keeps one per node pair. + `resolve_to_paths(graph, dag, src, dst, split_parallel_edges=False, max_paths=None)` lists a + DAG's walks in (cost, hops, edge ids) order. +- **DagCache**: `DagCache(graph)` is keyed by the root set, the direction and the Eligibility. + Its values are the full static supports (immutable, shared, valid after `clear()`), and + `stats()` reports `hits`, `misses`, `entries`, `bytes` and `live_values`. + - **Building mode:** one writer; a miss searches and inserts. + - **Frozen mode:** `freeze()` makes the cache read-only and shareable by every worker of an + evaluator. A frozen lookup miss raises `DagCacheMiss`, an exception the evaluators pass on + unchanged, never as a status. `clear()` raises when frozen, and `thaw()` returns to + building mode after the caller has joined every reader. - **Evaluators**: `capacity(graph, sources, destinations, CapacityOptions(...))` (with Global and MaxFlow the exact maximum flow, its marginal cost curve and its minimum cut), `batch_capacity(graph, pairs, opts, per_pair_elig=None, workers=None)` (pair order; the lowest @@ -80,15 +104,18 @@ units), one flow core, one placement engine. It replaces the 0.11 API. - **C++ headers** (under `netgraph/core/`): `types.hpp`, `graph.hpp` (`Graph`, `to_units`, `as_float`; it includes `eligibility.hpp`), `eligibility.hpp`, `options.hpp` (the selection axes, `FlowPlacement`, `Admission`), `pred_dag.hpp`, `flow_record.hpp` (`FlowId`, - `Counter128`, `FlowRecord`), `flow_ledger.hpp`, `flow_policy.hpp`, `dag_cache.hpp` and - `evaluators.hpp`; each compiles alone and includes no `detail/` header. Python spells the + `Counter128`, `FlowRecord`), `flow_ledger.hpp`, `flow_policy.hpp`, `dag_cache.hpp`, + `evaluators.hpp` and `search.hpp` (`spf`, `ksp`, `resolve_to_paths` and their options; the + queue choice `SpfQueue { Auto, Heap }` is a C++-only trailing parameter of `spf`); each + compiles alone and includes no `detail/` header. Python spells the creation cap `MAX_FLOWS_PER_CALL` (C++ `kMaxFlowsPerCall`). ### Removed - The 0.11 library and its bindings: `FlowState`, the previous `FlowGraph` and `FlowPolicy` and their configuration, the backend and algorithms facade (with its `Graph` handle), the search - entry points (`shortest_paths`, `shortest_paths_to`, `spf_dag`, `k_shortest_paths`), max-flow, + entry points (`shortest_paths`, `shortest_paths_to`, `spf_dag`, `spf_to`, `k_shortest_paths` + with its `unique` flag, `PredDAG.resolve_to_paths`, `NGRAPH_CORE_SPF_QUEUE`), max-flow, batch max-flow and the previous sensitivity, the SPF memo and `StateStamp`, `kMinFlow`, `kEpsilon`, `constants.hpp`, and the profiling facility (the Python accessors, the C++ scopes and `NGRAPH_CORE_PROFILE`). diff --git a/CMakeLists.txt b/CMakeLists.txt index bb219ef..4a5183a 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -24,7 +24,10 @@ add_executable(netgraph_core_tests tests/cpp/eligibility_tests.cpp tests/cpp/pred_dag_tests.cpp tests/cpp/search_tests.cpp + tests/cpp/ksp_tests.cpp + tests/cpp/dag_cache_tests.cpp tests/cpp/kernels_tests.cpp + tests/cpp/cost_only_creation_tests.cpp tests/cpp/flow_ledger_tests.cpp tests/cpp/flow_policy_fixture_tests.cpp tests/cpp/flow_policy_tests.cpp @@ -42,7 +45,7 @@ add_executable(netgraph_core_tests endif() # Allocation-failure tests replace the global operator new: a separate executable. add_executable(netgraph_core_fault_tests tests/cpp/flow_ledger_fault_tests.cpp tests/cpp/flow_policy_fault_tests.cpp - tests/cpp/flow_core_deletion_fault_tests.cpp) + tests/cpp/flow_core_deletion_fault_tests.cpp tests/cpp/search_fault_tests.cpp) target_link_libraries(netgraph_core_fault_tests PRIVATE netgraph_core GTest::gtest_main) target_include_directories(netgraph_core_fault_tests PRIVATE tests/cpp) if(NETGRAPH_CORE_COVERAGE AND (CMAKE_CXX_COMPILER_ID MATCHES "GNU|Clang")) @@ -137,6 +140,11 @@ endif() option(NETGRAPH_CORE_COVERAGE "Enable C++ coverage instrumentation" OFF) option(NETGRAPH_CORE_SANITIZE "Enable Address/Undefined sanitizers" OFF) +option(NETGRAPH_CORE_TSAN "Enable ThreadSanitizer" OFF) +if(NETGRAPH_CORE_SANITIZE AND NETGRAPH_CORE_TSAN) + # ThreadSanitizer cannot be combined with AddressSanitizer in one binary. + message(FATAL_ERROR "NETGRAPH_CORE_SANITIZE and NETGRAPH_CORE_TSAN are mutually exclusive") +endif() option(NETGRAPH_CORE_NATIVE "Optimize for current CPU (not portable)" OFF) option(NETGRAPH_CORE_FAST_MATH "Enable fast math (may affect precision)" OFF) option(NETGRAPH_CORE_PGO_GENERATE "Instrument for PGO profile collection" OFF) @@ -144,7 +152,7 @@ option(NETGRAPH_CORE_PGO_USE "Use PGO profile data (set NETGRAPH_CORE_PGO_DIR)" set(NETGRAPH_CORE_PGO_DIR "${CMAKE_BINARY_DIR}/pgo" CACHE PATH "Directory for PGO profile data") # Only apply optimizations when not in debug/instrumentation mode -if(NOT NETGRAPH_CORE_COVERAGE AND NOT NETGRAPH_CORE_SANITIZE) +if(NOT NETGRAPH_CORE_COVERAGE AND NOT NETGRAPH_CORE_SANITIZE AND NOT NETGRAPH_CORE_TSAN) # LTO (Link Time Optimization) - enables cross-module inlining include(CheckIPOSupported) check_ipo_supported(RESULT ipo_supported OUTPUT ipo_error) @@ -273,6 +281,30 @@ if(NETGRAPH_CORE_SANITIZE) endif() endif() +if(NETGRAPH_CORE_TSAN) + message(STATUS "Enabling ThreadSanitizer (disables optimizations)") + if(CMAKE_CXX_COMPILER_ID MATCHES "GNU|Clang") + # The data-race check of the evaluators' worker threads and the shared DagCache. A CMake + # list, as SAN_FLAGS above. A report makes the process exit non-zero (TSan's exit code 66, + # or an abort under the halt_on_error=1 of dev/cpp-tests.sh), so ctest fails on any race. -O1 + # as the TSan documentation advises (the Debug build type adds -g); the instrumented + # suites at -O0 would be several times slower for no extra coverage. + set(TSAN_FLAGS -fsanitize=thread -fno-omit-frame-pointer -O1) + set(TSAN_TARGETS netgraph_core _netgraph_core) + if(TARGET netgraph_core_tests) + # The test executables link the instrumented static library: same compile and link + # flags, so they carry the TSan runtime and their own accesses are instrumented too. + list(APPEND TSAN_TARGETS netgraph_core_tests netgraph_core_fault_tests) + endif() + foreach(tgt ${TSAN_TARGETS}) + target_compile_options(${tgt} PRIVATE ${TSAN_FLAGS}) + target_link_options(${tgt} PRIVATE ${TSAN_FLAGS}) + endforeach() + else() + message(WARNING "NETGRAPH_CORE_TSAN requires GCC or Clang") + endif() +endif() + # Install install(TARGETS _netgraph_core LIBRARY DESTINATION . diff --git a/Makefile b/Makefile index cbcd14f..01d4074 100644 --- a/Makefile +++ b/Makefile @@ -1,6 +1,6 @@ # NetGraph-Core Development Makefile -.PHONY: help venv clean-venv dev install install-native install-pgo check check-ci lint format test qt build clean check-dist publish-test publish info hooks check-python cpp-test cov sanitize-test rebuild +.PHONY: help venv clean-venv dev install install-native install-pgo check check-ci lint format test qt build clean check-dist publish-test publish info hooks check-python cpp-test cov sanitize-test tsan-test rebuild .DEFAULT_GOAL := help @@ -57,6 +57,7 @@ help: @echo " make cpp-test - Build and run C++ tests" @echo " make cov - Coverage summary + XML + single-page combined HTML" @echo " make sanitize-test - Build and run C++ tests with sanitizers" + @echo " make tsan-test - Build and run C++ tests with ThreadSanitizer" @echo "" @echo "Build & Package:" @echo " make build - Build distribution packages" @@ -278,6 +279,9 @@ cov: sanitize-test: @PATH="$(VENV_BIN):$$PATH" bash dev/cpp-tests.sh sanitize +tsan-test: + @PATH="$(VENV_BIN):$$PATH" bash dev/cpp-tests.sh tsan + # Clean + reinstall in dev mode (respects CMAKE_ARGS and MACOSX_DEPLOYMENT_TARGET) # Uses active PYTHON (venv or PATH) to avoid environment mismatches rebuild: clean diff --git a/README.md b/README.md index f2aebf7..4cb505a 100644 --- a/README.md +++ b/README.md @@ -89,12 +89,31 @@ C++ graph engine for network flow analysis, traffic engineering simulation, and supplied building `DagCache` is a memo that keeps the complete entries and statistics of the lookups that succeeded before a later failure of the call. +### Search + +`spf(graph, roots, SpfOptions(direction, selection, targets=None, residual=None, +min_residual=1, elig=None))` searches from a root set, forward or reverse. +- **Without targets:** it returns `costs` (`UNREACHABLE` for nodes not reached) and the full + DAG of tight edges, the edges that lie on some shortest path. +- **With targets:** it stops at the nearest targets and returns `target_cost` and the DAG of + the walks between the roots and the nearest targets (for a reverse search, from a target to + a root). +- **With `multipath=False`:** it returns the canonical single path, the one walk that minimises + cost, then bottleneck, then hops, then edge ids. + +`ksp(graph, src, dst, KspOptions(k, selection, max_path_cost=None, residual=None, elig=None))` +returns the K shortest simple paths as `(cost, Path)` pairs, in the contract's order and up to +an inclusive cost ceiling. `resolve_to_paths(graph, dag, src, dst, split_parallel_edges=False, +max_paths=None)` lists a DAG's walks as `Path` values. + ### DagCache -`DagCache(graph)` keeps the static shortest-path supports policies build, keyed by the root -set, the direction and the Eligibility; values are immutable and shared, and `stats()` reports -hits, misses, entries, retained bytes and live values. This build has the building mode (one -writer); the frozen mode follows. +`DagCache(graph)` keeps the static shortest-path supports that policies build, keyed by the +root set, the direction and the Eligibility. Values are immutable and shared, and `stats()` +reports hits, misses, entries, retained bytes and live values. +- **Building mode (new caches):** one writer; a miss searches and inserts. +- **Frozen mode (`freeze()`):** read-only and shared by every worker of an evaluator; a miss + raises `DagCacheMiss`. `thaw()` returns to building mode once every reader has finished. ### Evaluators diff --git a/bindings/python/module.cpp b/bindings/python/module.cpp index e9faa8d..18ca689 100644 --- a/bindings/python/module.cpp +++ b/bindings/python/module.cpp @@ -2,8 +2,8 @@ Pybind11 module `_netgraph_core`: the graph on integer units with Eligibility and the unit conversions, the route structures (PredDAG, Path), the selection and placement axes, the ledger with its records, the policy engine with its configuration and results, the DagCache - and the evaluators (capacity, batch_capacity, sensitivity); and two private entries: the flow - core's _place_global_units (the recorder's entry, APPROACH 2.2) and the internal search _spf. + , the evaluators (capacity, batch_capacity, sensitivity) and the public search (spf); and one + private entry: the flow core's _place_global_units (the recorder's entry, APPROACH 2.2). A build with the private hooks (CMake NETGRAPH_CORE_PRIVATE_HOOKS: the editable development build) adds the test controls and the parity diagnostics. @@ -39,11 +39,12 @@ #include "netgraph/core/dag_cache.hpp" #include "netgraph/core/detail/endpoints.hpp" +#include "netgraph/core/detail/enum_domain.hpp" #include "netgraph/core/detail/evaluator_checks.hpp" #include "netgraph/core/detail/flow_core.hpp" #include "netgraph/core/detail/pred_dag_builder.hpp" #include "netgraph/core/detail/private_hooks.hpp" -#include "netgraph/core/detail/search.hpp" +#include "netgraph/core/detail/traversal.hpp" #include "netgraph/core/eligibility.hpp" #include "netgraph/core/evaluators.hpp" #include "netgraph/core/flow_ledger.hpp" @@ -52,6 +53,7 @@ #include "netgraph/core/graph.hpp" #include "netgraph/core/options.hpp" #include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/search.hpp" #include "netgraph/core/types.hpp" #if NETGRAPH_CORE_PRIVATE_HOOKS #include @@ -429,6 +431,29 @@ std::vector node_ids(const py::object& obj, std::int32_t num_nodes, cons return checked_ids(wide_integers(obj, name), num_nodes, name); } +// One NodeId of [0, num_nodes) (a single endpoint); the range message of detail/endpoints.hpp. +NodeId endpoint(const py::object& obj, std::int32_t num_nodes, const char* name) { + const py::object idx = python_int(obj, name); + int overflow = 0; + const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); + if (overflow != 0 || v < 0 || v >= num_nodes) { + throw py::value_error(detail::node_range_error(name, std::string(py::str(idx)), num_nodes)); + } + return static_cast(v); +} + +// A count of at least 1 (KSP's k, the resolver's max_paths): the rule-13 message below 1; a count +// above INT64_MAX means the same as INT64_MAX (no list reaches it). +std::int64_t count_of(const py::object& obj, const char* name) { + const py::object idx = python_int(obj, name); + if (PyObject_RichCompareBool(idx.ptr(), py::int_(1).ptr(), Py_LT) == 1) { + throw py::value_error(std::string(name) + " must be >= 1 (got " + std::string(py::str(idx)) + ")"); + } + int overflow = 0; + const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); + return overflow != 0 ? std::numeric_limits::max() : static_cast(v); +} + // A request: an integer number of units in [0, 2^62) or +inf (float('inf')); nullopt is +inf. std::optional request_units(const py::object& volume) { if (py::isinstance(volume) || py::isinstance(volume, py::module_::import("numpy").attr("floating"))) { @@ -503,6 +528,36 @@ struct PySensitivityOptions { OutputOptions outputs; }; +// The Python form of SpfOptions: the arguments as given (targets, residual and min_residual are +// validated at the call, in the contract's order, on their unnarrowed values); the Eligibility is +// held by reference count. +struct PySpfOptions { + Direction direction; + PathSelection selection; + py::object targets; + py::object residual; + py::object min_residual; + std::shared_ptr elig; +}; + +// The Python form of KspOptions: the arguments as given (k, max_path_cost and residual are +// validated at the call, in the contract's order, on their unnarrowed values). +struct PyKspOptions { + py::object k; + PathSelection selection; + py::object max_path_cost; + py::object residual; + std::shared_ptr elig; +}; + +// The Python form of SpfResult: every field already a Python object (made by the call through +// the checked allocations), so reading one allocates nothing. +struct PySpfResult { + py::object costs; // a read-only int64 array (full searches) or None + py::object dag; // PredDAG + py::object target_cost; // an int, or None (no target reached, or a full search) +}; + // ---------------------------------------------------------------- policies and evaluators // An optional int field of [lo, hi] (None allowed when `optional`); bools and floats rejected. @@ -606,6 +661,26 @@ py::object object_of(T value) { return std::move(obj); } +// A new Python object of the bound class T (held by std::shared_ptr) owning `value`, through the +// same checked allocation as new_object: for the values without a default constructor (PredDAG, +// Path) that a search returns. A failure raises and releases everything made so far. +template +py::object object_from(T value) { + const py::detail::type_info* tinfo = py::detail::get_type_info(typeid(T), /*throw_if_missing=*/true); + PyTypeObject* type = tinfo->type; + PyObject* raw = type->tp_alloc(type, 0); + if (raw == nullptr) throw py::error_already_set(); + auto obj = py::reinterpret_steal(raw); + auto* inst = reinterpret_cast(raw); + inst->allocate_layout(); + inst->owned = false; + auto* held = new T(std::move(value)); + py::detail::values_and_holders(inst).begin()->value_ptr() = held; + inst->owned = true; + tinfo->init_instance(inst, nullptr); + return obj; +} + // ---------------------------------------------------------------- private hooks @@ -755,6 +830,12 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { .value("CAPACITY", EdgePriority::Capacity) .value("HEADROOM", EdgePriority::Headroom); + py::enum_(m, "Direction", + "The orientation of a search: FORWARD from the roots, or REVERSE (rooted at the roots over\n" + "reversed arcs; the DAG it returns is forward-oriented, toward the roots).") + .value("FORWARD", Direction::Forward) + .value("REVERSE", Direction::Reverse); + py::class_(m, "PathSelection", "The selection of a search: tie_break and priority are explicit; multipath = True keeps\n" "every equal-cost walk (the DAG), False the one canonical single path; multi_edge = True\n" @@ -1499,21 +1580,33 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { .def_readonly("bytes", &DagCache::Stats::bytes) .def_readonly("live_values", &DagCache::Stats::live_values); + py::register_exception(m, "DagCacheMiss", PyExc_Exception); + m.attr("DagCacheMiss").attr("__doc__") = + "A lookup in a frozen DagCache whose key is absent (APPROACH 10): a dedicated exception (not a\n" + "RuntimeError or ValueError); the evaluators propagate it unchanged, never as a status."; + py::class_>( m, "DagCache", "A cache of static shortest-path supports bound to one graph, keyed (roots as a set, direction,\n" - "Eligibility uid); building mode (one writer, no concurrent readers). CostOnly policies and the\n" - "evaluators read it; selection is projected at creation, never cached. clear() empties it (the\n" - "hit and miss counters persist); held values stay valid. A supplied building cache is a memo\n" - "(APPROACH 13, limit 2): a public call that fails keeps the complete entries and statistics of the\n" - "lookups that succeeded before; never a partial entry, and a retained entry never changes a result.") + "Eligibility uid). Building mode (a new cache): one writer, no concurrent readers; a miss searches\n" + "and inserts. Frozen mode (freeze()): read-only and shareable by every worker; a miss counts one miss\n" + "and raises DagCacheMiss; clear() raises ValueError; thaw() returns to building once the caller has\n" + "joined every reader. CostOnly policies and the evaluators read it; selection is projected at\n" + "creation, never cached. clear() empties a building cache (the hit and miss counters persist); held\n" + "values stay valid. A supplied building cache is a memo (APPROACH 13, limit 2): a public call that\n" + "fails keeps the complete entries and statistics of the lookups that succeeded before; never a\n" + "partial entry, and a retained entry never changes a result. A frozen cache's statistics follow the\n" + "public call that reads it: its hits count when the call succeeds, its Python result included; a\n" + "failed call changes no statistic, except that a call raising DagCacheMiss counts one miss.") .def(py::init([](const std::shared_ptr& graph) { if (!graph) throw py::value_error("graph must be a Graph"); return std::make_shared(*graph); }), py::arg("graph")) .def("graph_uid", &DagCache::graph_uid, "uid of the graph this cache is bound to") - .def("clear", &DagCache::clear) + .def("freeze", &DagCache::freeze, "enter frozen mode (no effect when frozen)") + .def("thaw", &DagCache::thaw, "return to building mode (no effect when building); join every reader first") + .def("clear", &DagCache::clear, "empty a building cache; ValueError when frozen") .def("stats", &DagCache::stats); auto flow_policy = py::class_( @@ -1652,18 +1745,23 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { const auto s = node_ids(sources, graph->num_nodes(), "sources"); const auto d = node_ids(destinations, graph->num_nodes(), "destinations"); const CapacityOptions c {o.config, o.elig.get(), o.cache.get(), o.outputs}; - PlacementResult r; - { - py::gil_scoped_release release; - r = capacity(*graph, s, d, c); - } - return object_of(std::move(r)); + // One public call on a frozen cache's statistics, its result object included (NOTES R27). + return detail::frozen_call(c.cache, [&](detail::FrozenTally& tally) { + PlacementResult r; + { + py::gil_scoped_release release; + r = detail::capacity_in_call(*graph, s, d, c, tally); + } + return object_of(std::move(r)); + }); }, py::arg("graph"), py::arg("sources"), py::arg("destinations"), py::arg("opts"), "place(+inf) of a FlowPolicy with opts.config on a fresh ledger of the graph -> PlacementResult.\n" - "The exact maximum flow is the Global + MaxFlow configuration.\n" + "The exact maximum flow is the Global + MaxFlow configuration. A supplied frozen cache raises\n" + "DagCacheMiss for an absent key, unchanged.\n" "A failed call raises; a supplied building cache keeps the entries and statistics of the lookups\n" - "that succeeded before the failure (a memo: APPROACH 13, limit 2)."); + "that succeeded before the failure (a memo: APPROACH 13, limit 2); a supplied frozen cache's\n" + "statistics are unchanged, except one miss when the call raises DagCacheMiss."); m.def( "batch_capacity", @@ -1714,16 +1812,18 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { detail::check_batch_pair(*graph, src, dst, e, i); ps.emplace_back(std::move(src), std::move(dst)); } - std::vector rs; - { - py::gil_scoped_release release; - rs = batch_capacity(*graph, ps, c, per, w); - } - py::list out(rs.size()); - for (std::size_t i = 0; i < rs.size(); ++i) { - PyList_SET_ITEM(out.ptr(), static_cast(i), object_of(std::move(rs[i])).release().ptr()); - } - return out; + return detail::frozen_call(c.cache, [&](detail::FrozenTally& tally) { + std::vector rs; + { + py::gil_scoped_release release; + rs = detail::batch_capacity_in_call(*graph, ps, c, per, w, tally); + } + py::list out(rs.size()); + for (std::size_t i = 0; i < rs.size(); ++i) { + PyList_SET_ITEM(out.ptr(), static_cast(i), object_of(std::move(rs[i])).release().ptr()); + } + return py::object(std::move(out)); + }); }, py::arg("graph"), py::arg("pairs"), py::arg("opts"), py::arg("per_pair_elig") = py::none(), py::arg("workers") = py::none(), @@ -1732,9 +1832,14 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { "empty); workers >= 1 (None: NGRAPH_CORE_BATCH_THREADS or 1; 1 with a supplied cache).\n" "Everything is validated before a worker starts, the arguments first, then each pair\n" "completely in pair order, so the error of the lowest failing pair index is raised; Pinned is\n" - "rejected; an empty batch returns [].\n" + "rejected; an empty batch returns []. A supplied building cache needs workers == 1; a frozen cache\n" + "is shared by every worker (pass workers explicitly) and its DagCacheMiss reaches the caller\n" + "unchanged (the lowest failing pair's); a per-pair intersection that differs from both operands\n" + "has a new uid, absent from a frozen cache (pass effective per-pair values with elig None, or a\n" + "common value containing them).\n" "A failed call raises; a supplied building cache keeps the entries and statistics of the lookups\n" - "that succeeded before the failure (a memo: APPROACH 13, limit 2)."); + "that succeeded before the failure (a memo: APPROACH 13, limit 2); a supplied frozen cache's\n" + "statistics are unchanged, except one miss when the call raises DagCacheMiss."); m.def( "sensitivity", @@ -1746,12 +1851,14 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { const auto d = node_ids(destinations, graph->num_nodes(), "destinations"); const auto w = workers_of(workers, true, static_cast(o.cache)); const SensitivityOptions c {o.config, o.elig.get(), o.cache.get(), o.outputs}; - SensitivityResult r; - { - py::gil_scoped_release release; - r = sensitivity(*graph, s, d, c, w); - } - return object_of(std::move(r)); + return detail::frozen_call(c.cache, [&](detail::FrozenTally& tally) { + SensitivityResult r; + { + py::gil_scoped_release release; + r = detail::sensitivity_in_call(*graph, s, d, c, w, tally); + } + return object_of(std::move(r)); + }); }, py::arg("graph"), py::arg("sources"), py::arg("destinations"), py::arg("opts"), py::arg("workers") = py::none(), "The baseline capacity() and one entry per candidate edge (Global: the baseline's positive-flow\n" @@ -1760,63 +1867,232 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { "flow core's deletion re-solve from the baseline's final state, and CostOnly gives edges no route\n" "uses loss 0 without a placement, result-equivalent forms of that definition); a placed deletion\n" "raising a model exception is UNEVALUABLE with the message as reason.\n" - "workers as batch_capacity (NGRAPH_CORE_SENSITIVITY_THREADS).\n" + "workers as batch_capacity (NGRAPH_CORE_SENSITIVITY_THREADS); a CostOnly deletion (the one\n" + "model reading the cache) looks up a new Eligibility uid, so a frozen cache raises DagCacheMiss\n" + "there (unchanged, never UNEVALUABLE); other models read no cache.\n" "A failed call raises; a supplied building cache keeps the entries and statistics of the lookups\n" - "that succeeded before the failure (a memo: APPROACH 13, limit 2)."); + "that succeeded before the failure (a memo: APPROACH 13, limit 2); a supplied frozen cache's\n" + "statistics are unchanged, except one miss when the call raises DagCacheMiss."); + + py::class_( + m, "KspOptions", + "The options of ksp (APPROACH 6, rule 10): k (>= 1) and selection are explicit (its multi_edge is\n" + "the member rule, Expand or Collapse; multipath is ignored); max_path_cost (None, Absolute(c) with\n" + "c >= 0, or Stretch(f) with f finite in [1, inf) times the static shortest cost under the\n" + "Eligibility, residual ignored; inclusive); residual (int64 units per EdgeId, each in\n" + "[0, capacity_units]: gating at 1 unit and the priority values); elig (None: everything allowed).\n" + "The fields are validated by ksp, in the contract's order.") + .def(py::init([](const py::object& k, const PathSelection& selection, const py::object& max_path_cost, + const py::object& residual, const std::shared_ptr& elig) { + return PyKspOptions {k, selection, max_path_cost, residual, elig}; + }), + py::arg("k"), py::arg("selection"), py::kw_only(), py::arg("max_path_cost") = py::none(), + py::arg("residual") = py::none(), py::arg("elig") = nullptr) + .def_readonly("k", &PyKspOptions::k) + .def_readonly("selection", &PyKspOptions::selection) + .def_readonly("max_path_cost", &PyKspOptions::max_path_cost) + .def_readonly("residual", &PyKspOptions::residual) + .def_readonly("elig", &PyKspOptions::elig); - // ------------------------------------------------------------------ private recorder entries + m.def( + "ksp", + [](const std::shared_ptr& graph, const py::object& src, const py::object& dst, const py::object& opts) { + if (!graph) throw py::value_error("graph must be a Graph"); + const auto o = options_of(opts, "KspOptions"); + const auto n = graph->num_nodes(); + // APPROACH 6's order on unnarrowed values (Core repeats every check): the selection, src, + // dst, src == dst, k, the ceiling, the residual, then a foreign Eligibility. + detail::check_selection(o.selection); + const NodeId s = endpoint(src, n, "src"); + const NodeId t = endpoint(dst, n, "dst"); + if (s == t) throw py::value_error(detail::overlap_error(s, "src", "dst")); + KspOptions c(count_of(o.k, "k"), o.selection); + if (!o.max_path_cost.is_none()) { + if (py::isinstance(o.max_path_cost)) { + c.max_path_cost = o.max_path_cost.cast(); + } else if (py::isinstance(o.max_path_cost)) { + c.max_path_cost = o.max_path_cost.cast(); + } else { + throw py::type_error("max_path_cost must be Absolute, Stretch or None (got " + + std::string(py::str(py::type::of(o.max_path_cost).attr("__name__"))) + ")"); + } + detail::check_ceiling(c.max_path_cost); + } + std::optional> res; + if (!o.residual.is_none()) res = edge_units(o.residual, *graph, "residual"); + if (res.has_value()) c.residual = std::span(*res); + c.elig = o.elig.get(); + std::vector> paths; + { + py::gil_scoped_release release; + paths = ksp(*graph, s, t, c); + } + // Every object through a checked allocation: a failure raises. + py::list out(paths.size()); + for (std::size_t i = 0; i < paths.size(); ++i) { + py::tuple item(2); + py::int_ cost(paths[i].first); + py::object path = object_from(std::move(paths[i].second)); + PyTuple_SET_ITEM(item.ptr(), 0, cost.release().ptr()); + PyTuple_SET_ITEM(item.ptr(), 1, path.release().ptr()); + PyList_SET_ITEM(out.ptr(), static_cast(i), item.release().ptr()); + } + return out; + }, + py::arg("graph"), py::arg("src"), py::arg("dst"), py::arg("opts"), + "The K shortest simple src -> dst paths of the member graph (APPROACH 6, rule 10) -> [(cost, Path)],\n" + "in increasing (cost, -bottleneck under PREFER_HIGHER_PRIORITY, hops, edge-id sequence), the\n" + "bottleneck being the minimum priority value along a path: the minimal prefix of that order,\n" + "truncated at k and at the inclusive ceiling; each Path has single-member hops. Validated in this\n" + "order before any work (ValueError): src and dst in range, src == dst, k >= 1, the ceiling, the\n" + "residual (length, then every entry), a foreign Eligibility. An excluded endpoint, no static route\n" + "under Stretch, or no path gives []."); m.def( - "_spf", - [](const std::shared_ptr& graph, const py::object& roots, const std::string& direction, - const py::object& targets, const PathSelection& selection, const py::object& residual, - const py::object& min_residual, const std::shared_ptr& elig) { + "resolve_to_paths", + [](const std::shared_ptr& graph, const std::shared_ptr& dag, const py::object& src, + const py::object& dst, bool split_parallel_edges, const py::object& max_paths) { if (!graph) throw py::value_error("graph must be a Graph"); - if (direction != "forward" && direction != "reverse") { - throw py::value_error("direction must be 'forward' or 'reverse'"); + if (!dag) throw py::value_error("dag must be a PredDAG"); + if (dag->graph_uid() != graph->uid()) throw py::value_error("foreign PredDAG: built for another graph"); + const auto n = graph->num_nodes(); + const NodeId s = endpoint(src, n, "src"); + const NodeId t = endpoint(dst, n, "dst"); + if (s == t) throw py::value_error(detail::overlap_error(s, "src", "dst")); + std::optional mp; + if (!max_paths.is_none()) mp = count_of(max_paths, "max_paths"); + std::vector paths; + { + py::gil_scoped_release release; + paths = resolve_to_paths(*graph, *dag, s, t, split_parallel_edges, mp); } - const auto r = node_ids(roots, graph->num_nodes(), "roots"); + py::list out(paths.size()); + for (std::size_t i = 0; i < paths.size(); ++i) { + PyList_SET_ITEM(out.ptr(), static_cast(i), object_from(std::move(paths[i])).release().ptr()); + } + return out; + }, + py::arg("graph"), py::arg("dag"), py::arg("src"), py::arg("dst"), py::arg("split_parallel_edges") = false, + py::arg("max_paths") = py::none(), + "The src -> dst walks of a DAG (APPROACH 5) -> [Path], in increasing (cost, hops, edge-id sequence):\n" + "a hop costs its cheapest member and is keyed by its lowest member id. split_parallel_edges = False\n" + "keeps every parallel member of a (u, v) pair in one hop (members ascending); True gives one path\n" + "per member combination in the same order. max_paths (>= 1) truncates; None lists every walk.\n" + "ValueError: a DAG of another graph, src or dst out of range, src == dst, max_paths < 1. An\n" + "endpoint outside the DAG, or no walk, gives []."); + + // ------------------------------------------------------------------ private recorder entries + + // ------------------------------------------------------------------ the public search + + m.attr("UNREACHABLE") = py::int_(kUnreachable); + + py::class_( + m, "SpfOptions", + "The options of spf (APPROACH 6): direction and selection are explicit; targets (one NodeId or a\n" + "sequence; None: a full search) stops the search at the nearest targets (anycast); residual (int64\n" + "units per EdgeId, each in [0, capacity_units]) adds residual gating at min_residual units (an\n" + "integer >= 1; it gates a supplied residual only) and supplies the priority values; elig (None:\n" + "everything allowed). A direction outside its enumeration raises ValueError here; the other fields\n" + "are validated by spf, in the contract's order.") + .def(py::init([](Direction direction, const PathSelection& selection, const py::object& targets, + const py::object& residual, const py::object& min_residual, + const std::shared_ptr& elig) { + detail::check_member(direction, "direction"); + return PySpfOptions {direction, selection, targets, residual, min_residual, elig}; + }), + py::arg("direction"), py::arg("selection"), py::kw_only(), py::arg("targets") = py::none(), + py::arg("residual") = py::none(), py::arg("min_residual") = 1, py::arg("elig") = nullptr) + .def_readonly("direction", &PySpfOptions::direction) + .def_readonly("selection", &PySpfOptions::selection) + .def_readonly("targets", &PySpfOptions::targets) + .def_readonly("residual", &PySpfOptions::residual) + .def_readonly("min_residual", &PySpfOptions::min_residual) + .def_readonly("elig", &PySpfOptions::elig); + + py::class_(m, "SpfResult", + "The result of spf: costs (full searches: a read-only int64 array, UNREACHABLE for the\n" + "nodes not reached; None with targets), dag (PredDAG: the unique DAG of the edges tight in\n" + "the traversal direction, in their original orientation; with targets pruned to the walks\n" + "between the roots and a nearest target, from the target to a root for REVERSE, or the\n" + "canonical single path for multipath = False) and target_cost (with targets: the nearest\n" + "targets' cost, None when no target is reached; None for a full search).") + .def_property_readonly("costs", [](const PySpfResult& r) { return r.costs ? r.costs : py::object(py::none()); }) + .def_property_readonly("dag", [](const PySpfResult& r) { return r.dag; }) + .def_property_readonly("target_cost", + [](const PySpfResult& r) { return r.target_cost ? r.target_cost : py::object(py::none()); }) + .def("__repr__", [](const PySpfResult& r) { + std::string tc = r.target_cost && !r.target_cost.is_none() ? std::string(py::str(r.target_cost)) : "None"; + return "SpfResult(costs=" + std::string(r.costs ? "array" : "None") + + ", dag_entries=" + std::to_string(r.dag.cast().via_edges().size()) + + ", target_cost=" + tc + ")"; + }); + + m.def( + "spf", + [](const std::shared_ptr& graph, const py::object& roots, const py::object& opts) { + if (!graph) throw py::value_error("graph must be a Graph"); + const auto o = options_of(opts, "SpfOptions"); + const auto n = graph->num_nodes(); + // APPROACH 6's order on unnarrowed values (Core repeats every check): the enumerations, + // the roots, the targets, their overlap, a single path without targets, the residual, then + // min_residual and a foreign Eligibility. + detail::check_member(o.direction, "direction"); + detail::check_selection(o.selection); + const auto r = node_ids(roots, n, "roots"); std::optional> t; - if (!targets.is_none()) t = node_ids(targets, graph->num_nodes(), "targets"); - // Section 6's order: the endpoint checks (overlap, a single path without targets) come - // before the residual is read (review-1b R15); detail::spf repeats them. - if (t.has_value()) { - detail::check_disjoint(detail::node_set(r, graph->num_nodes(), "roots"), - detail::node_set(*t, graph->num_nodes(), "targets"), "roots", "targets"); - } else if (!selection.multipath) { + if (!o.targets.is_none()) { + t = node_ids(o.targets, n, "targets"); + detail::check_disjoint(detail::node_set(r, n, "roots"), detail::node_set(*t, n, "targets"), "roots", + "targets"); + } else if (!o.selection.multipath) { throw py::value_error("multipath = false requires targets (the single path joins a root to a target)"); } std::optional> res; - if (!residual.is_none()) res = edge_units(residual, *graph, "residual"); - const auto minr = integer_value(min_residual, 1, kDomainLimit - 1, "min_residual"); - detail::SpfOut o; + if (!o.residual.is_none()) res = edge_units(o.residual, *graph, "residual"); + const auto minr = python_int(o.min_residual, "min_residual"); + if (PyObject_RichCompareBool(minr.ptr(), py::int_(1).ptr(), Py_LT) == 1) { + throw py::value_error("min_residual must be at least 1 unit (got " + std::string(py::str(minr)) + ")"); + } + int overflow = 0; + const long long mv = PyLong_AsLongLongAndOverflow(minr.ptr(), &overflow); + SpfOptions c(o.direction, o.selection); + c.targets = std::move(t); + if (res.has_value()) c.residual = std::span(*res); + // Above INT64_MAX it gates every residual edge exactly as INT64_MAX does (residuals < 2^62). + c.min_residual = overflow != 0 ? std::numeric_limits::max() : static_cast(mv); + c.elig = o.elig.get(); + std::optional result; { py::gil_scoped_release release; - std::optional> ts; - if (t.has_value()) ts = std::span(*t); - std::optional> rs; - if (res.has_value()) rs = std::span(*res); - o = detail::spf(*graph, r, direction == "forward" ? Direction::Forward : Direction::Reverse, ts, selection, rs, - minr, elig.get()); + result.emplace(spf(*graph, r, c)); } - py::dict out; - if (o.costs.has_value()) { - py::list costs; - for (Cost c : *o.costs) costs.append(cost_or_none(c)); - out["costs"] = costs; + // The result's Python objects, each through a checked allocation: a failure raises. + auto [obj, slot] = new_object(); + if (result->costs.has_value()) { + py::array_t costs(static_cast(result->costs->size())); + std::copy(result->costs->begin(), result->costs->end(), costs.mutable_data()); + py::detail::array_proxy(costs.ptr())->flags &= ~py::detail::npy_api::NPY_ARRAY_WRITEABLE_; + slot->costs = std::move(costs); } - out["dag"] = std::make_shared(detail::PredDAGBuilder::of_edges(*graph, o.edges)); - if (t.has_value()) { - out["target_cost"] = o.target_cost.has_value() ? py::object(py::int_(*o.target_cost)) : py::object(py::none()); + slot->dag = object_from(std::move(result->dag)); + if (result->target_cost.has_value() && *result->target_cost != kUnreachable) { + slot->target_cost = py::int_(*result->target_cost); } - if (o.path.has_value()) out["path"] = o.path->walk; - return out; + return std::move(obj); }, - py::arg("graph"), py::arg("roots"), py::arg("direction"), py::arg("targets"), py::arg("selection"), - py::arg("residual") = py::none(), py::arg("min_residual") = 1, py::arg("elig") = nullptr, - "private: the internal search of APPROACH 6 (the recorder's entry; the public spf replaces it).\n" - "Returns {costs (full search), dag, target_cost (with targets; None when unreachable), path (the\n" - "single path's walk)}."); + py::arg("graph"), py::arg("roots"), py::arg("opts"), + "Shortest paths from the roots (one NodeId or a sequence; every root at distance 0), FORWARD or\n" + "REVERSE (APPROACH 6) -> SpfResult. Without targets every reachable node is settled: costs and the\n" + "full DAG of tight edges. With targets the search stops at the nearest targets' cost: target_cost\n" + "and the DAG pruned to the walks between the roots and a nearest target (anycast; for REVERSE, from\n" + "the target to a root in the edges' orientation), or for multipath = False\n" + "the canonical single path, the walk minimising (cost, -bottleneck under PREFER_HIGHER_PRIORITY,\n" + "hops, edge-id sequence). Validated in this order before any work (ValueError): the roots (non-\n" + "empty, ids in range), the targets (the same), a vertex in both sets, multipath = False without\n" + "targets, the residual (length, then every entry in [0, capacity_units]), min_residual >= 1, a\n" + "foreign Eligibility. Excluded roots and targets are skipped; all roots excluded gives an empty\n" + "result."); // ------------------------------------------------------------------ private hooks diff --git a/dev/cpp-tests.sh b/dev/cpp-tests.sh index ff28da7..fdf03df 100644 --- a/dev/cpp-tests.sh +++ b/dev/cpp-tests.sh @@ -4,10 +4,14 @@ set -euo pipefail cd "$(dirname "${BASH_SOURCE[0]}")/.." jobs=${CMAKE_BUILD_PARALLEL_LEVEL:-4} case "$jobs" in ''|*[!0-9]*|0) echo 'CMAKE_BUILD_PARALLEL_LEVEL must be positive.' >&2; exit 2 ;; esac +tsan=OFF case "${1:-release}" in release) build_dir=build/cpp-tests; build_type=Release; sanitize=OFF ;; sanitize) build_dir=build/cpp-sanitize; build_type=Debug; sanitize=ON ;; - *) echo 'Expected release or sanitize.' >&2; exit 2 ;; + # ThreadSanitizer (data races of the worker threads and the shared DagCache), its own build + # directory; the longest instrumented test takes about 30 s, inside the common timeout. + tsan) build_dir=build/cpp-tsan; build_type=Debug; sanitize=OFF; tsan=ON ;; + *) echo 'Expected release, sanitize or tsan.' >&2; exit 2 ;; esac if [[ "$(uname -s)" == Darwin ]]; then export CC="$(xcrun --find clang)" @@ -18,10 +22,15 @@ else leak_detection=1 fi cmake -S . -B "$build_dir" -DNETGRAPH_CORE_BUILD_TESTS=ON -DNETGRAPH_CORE_PRIVATE_HOOKS=ON \ - -DNETGRAPH_CORE_SANITIZE="$sanitize" -DCMAKE_BUILD_TYPE="$build_type" + -DNETGRAPH_CORE_SANITIZE="$sanitize" -DNETGRAPH_CORE_TSAN="$tsan" -DCMAKE_BUILD_TYPE="$build_type" cmake --build "$build_dir" --config "$build_type" --parallel "$jobs" if [[ "$sanitize" == ON ]]; then export ASAN_OPTIONS="${ASAN_OPTIONS:-detect_leaks=$leak_detection}" fi +if [[ "$tsan" == ON ]]; then + # A report aborts the test (halt_on_error=1; TSan's own default is exit code 66 at exit): + # ctest fails on any race. + export TSAN_OPTIONS="${TSAN_OPTIONS:-halt_on_error=1 second_deadlock_stack=1}" +fi ctest --test-dir "$build_dir" --build-config "$build_type" \ --output-on-failure --parallel "$jobs" --timeout 120 --no-tests=error diff --git a/include/netgraph/core/dag_cache.hpp b/include/netgraph/core/dag_cache.hpp index f021220..01b8e6c 100644 --- a/include/netgraph/core/dag_cache.hpp +++ b/include/netgraph/core/dag_cache.hpp @@ -1,11 +1,15 @@ -/* The DagCache of APPROACH 10 in building mode. */ +/* The DagCache of APPROACH 10: building and frozen modes, the dedicated frozen-miss exception. */ #pragma once +#include #include +#include #include +#include #include #include #include +#include #include #include @@ -16,6 +20,27 @@ namespace netgraph::core { +namespace detail { +struct DagCacheAccess; +class FrozenTally; +} // namespace detail + +// A lookup in a frozen DagCache whose key is absent (APPROACH 10): a dedicated exception, not a +// std::runtime_error, so no evaluator converts it into a status (a sensitivity entry's +// `unevaluable` comes from a std::runtime_error); every evaluator propagates it unchanged. Its +// message is shared, so copying it never allocates. what() is defined in dag_cache.cpp: as the +// key function it gives the type one vtable and one type_info. An all-inline class gets a weak +// copy per translation unit, and the LTO build of the extension kept two, so the binding's catch +// of DagCacheMiss missed the thrown one (NOTES R26). +class DagCacheMiss : public std::exception { +public: + explicit DagCacheMiss(const std::string& what) : what_(std::make_shared(what)) {} + [[nodiscard]] const char* what() const noexcept override; + +private: + std::shared_ptr what_; +}; + // A cache of shortest-path supports bound to one graph (by uid). The key is (the roots as a // sorted set, the direction, the Eligibility uid; no Eligibility is uid 0); the value is the full // static support of that search (multipath = true, multi_edge = true, no residual: every tight @@ -23,14 +48,26 @@ namespace netgraph::core { // reverse search) as an immutable shared PredDAG, valid after clear() and after the cache is // destroyed. Selection is never cached: a policy projects it at creation (APPROACH 9.1, 10). // -// Building mode: one writer, no concurrent readers. A hit returns the value; a miss runs the -// search, inserts and returns (a failed search counts one miss and inserts nothing); an invalid -// query (a graph or Eligibility of another graph, an empty root set, a root out of range) throws -// std::invalid_argument and counts nothing. clear() empties the cache; the hit and miss counters -// persist. Statistics are atomic per field, not a consistent snapshot: `bytes` is the retained -// payload of the entries (the DAGs' stored arrays), `live_values` the values alive anywhere, -// entries included. A supplied cache whose public call fails later keeps the complete entries -// and statistics of its successful lookups (APPROACH 13, limit 2). +// Building mode (a new cache): one writer, no concurrent readers. A hit returns the value; a miss +// runs the search, inserts and returns (a failed search counts one miss and inserts nothing); an +// invalid query (a graph or Eligibility of another graph, an empty root set, a root out of range, +// a direction outside its enumeration) throws std::invalid_argument and counts nothing. clear() +// empties the cache; the hit and miss counters persist. +// +// Frozen mode (after freeze()): read-only and shareable; lookups from several threads at once are +// safe. A hit returns the value; a miss counts one miss and throws DagCacheMiss (nothing is +// inserted); clear() throws std::invalid_argument; freeze() again has no effect; thaw() returns to +// building mode once the caller has joined every reader (no lookup may run concurrently with +// freeze(), thaw() or destruction). +// +// Statistics are atomic per field, not a consistent snapshot: `bytes` is the retained payload of +// the entries (the DAGs' stored arrays), `live_values` the values alive anywhere, entries +// included. A supplied building cache whose public call fails later keeps the complete entries and +// statistics of its successful lookups (APPROACH 13, limit 2). A frozen cache's statistics follow +// the public call that reads it (a policy constructor, an evaluator; NOTES R27): its hits are +// counted when the call succeeds, its Python result included, and a failed call changes no +// statistic, except that a call raising DagCacheMiss counts one miss. A direct lookup() is such a +// call: a hit counts one hit, a miss one miss. class DagCache { public: struct Stats { @@ -49,13 +86,41 @@ class DagCache { [[nodiscard]] std::uint64_t graph_uid() const noexcept { return graph_uid_; } [[nodiscard]] std::shared_ptr lookup(const Graph& g, std::span roots, Direction direction, const Eligibility* elig); - void clear() noexcept; + void freeze() noexcept; + void thaw() noexcept; + void clear(); [[nodiscard]] Stats stats() const noexcept; private: + friend struct detail::DagCacheAccess; + // lookup() inside a public call: with a tally of this cache, a frozen hit is recorded in it and a + // frozen miss counts nothing here (the call's boundary counts it). + std::shared_ptr lookup_in_call(const Graph& g, std::span roots, Direction direction, + const Eligibility* elig, detail::FrozenTally* tally); + bool frozen_ {false}; using Key = std::tuple, Direction, std::uint64_t>; + // A lookup's key over borrowed roots (a validated sorted, duplicate-free span): a hit needs no copy. + using KeyView = std::tuple, Direction, std::uint64_t>; + // The order of Key (lexicographic roots, then direction, then Eligibility uid), also between a Key + // and a KeyView. + struct KeyLess { + using is_transparent = void; + static bool less(std::span ra, Direction da, std::uint64_t ua, std::span rb, + Direction db, std::uint64_t ub) noexcept { + const std::size_t n = std::min(ra.size(), rb.size()); + for (std::size_t i = 0; i < n; ++i) { + if (ra[i] != rb[i]) return ra[i] < rb[i]; + } + if (ra.size() != rb.size()) return ra.size() < rb.size(); + return da != db ? da < db : ua < ub; + } + template + bool operator()(const A& a, const B& b) const noexcept { + return less(std::get<0>(a), std::get<1>(a), std::get<2>(a), std::get<0>(b), std::get<1>(b), std::get<2>(b)); + } + }; std::uint64_t graph_uid_ {0}; - std::map> entries_ {}; + std::map, KeyLess> entries_ {}; std::atomic hits_ {0}; std::atomic misses_ {0}; std::atomic num_entries_ {0}; diff --git a/include/netgraph/core/detail/cache_access.hpp b/include/netgraph/core/detail/cache_access.hpp new file mode 100644 index 0000000..152e2ad --- /dev/null +++ b/include/netgraph/core/detail/cache_access.hpp @@ -0,0 +1,86 @@ +/* Internal access to a DagCache: its mode (the evaluators' rule for a supplied cache) and the + frozen statistics of one public call (APPROACH 13; NOTES R27). */ +#pragma once + +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/dag_cache.hpp" + +namespace netgraph::core::detail { + +class FrozenTally; + +struct DagCacheAccess { + // Whether the cache is frozen (APPROACH 10: a frozen cache may be shared by every worker). + [[nodiscard]] static bool frozen(const DagCache& cache) noexcept { return cache.frozen_; } + // A lookup inside a public call (FrozenTally): a frozen hit is recorded in `tally` instead of + // the cache, a frozen miss is counted by the call's boundary (frozen_call); a building cache + // counts at once, as DagCache::lookup does. + [[nodiscard]] static std::shared_ptr lookup(DagCache& cache, const Graph& g, + std::span roots, Direction direction, + const Eligibility* elig, FrozenTally& tally) { + return cache.lookup_in_call(g, roots, direction, elig, &tally); + } + static void add_hits(DagCache& cache, std::int64_t n) noexcept { + cache.hits_.fetch_add(n, std::memory_order_relaxed); + } + static void add_miss(DagCache& cache) noexcept { cache.misses_.fetch_add(1, std::memory_order_relaxed); } +}; + +// The frozen-cache statistics of one public call that reads a supplied cache (NOTES R27). A +// frozen cache's counters are observable state under the all-or-nothing rule (APPROACH 13; only +// a supplied building cache, a memo, keeps the statistics of a failed call: limit 2). So inside +// the call a frozen hit is recorded here, and the call's boundary (frozen_call) publishes the +// hits after the call's last failing step, its Python result included; a failed call drops +// them. A call that raises DagCacheMiss counts that one miss (R20), whatever its workers did. All +// workers of the call record into the one atomic count; every call has its own tally, so the +// increments of concurrent successful calls are all kept. +class FrozenTally { +public: + explicit FrozenTally(DagCache* cache) noexcept : cache_(cache) {} + FrozenTally(const FrozenTally&) = delete; + FrozenTally& operator=(const FrozenTally&) = delete; + ~FrozenTally() = default; + + [[nodiscard]] const DagCache* cache() const noexcept { return cache_; } + void hit() noexcept { hits_.fetch_add(1, std::memory_order_relaxed); } + // The call succeeded: its hits reach the cache (one atomic addition, cannot fail). + void publish() noexcept { + const auto n = hits_.exchange(0, std::memory_order_relaxed); + if (cache_ != nullptr && n != 0) DagCacheAccess::add_hits(*cache_, n); + } + // The call raises DagCacheMiss: one miss; its hits are dropped. + void miss() noexcept { + if (cache_ != nullptr) DagCacheAccess::add_miss(*cache_); + } + +private: + DagCache* cache_; + std::atomic hits_ {0}; +}; + +// Runs body(tally) as one public call on `cache` (the supplied cache, or null): publishes the +// recorded hits once body has returned (its last failing step: body builds the call's result, +// the Python object included) and returns body's value, which then moves without failing; when +// body throws, nothing is published, except one miss for a DagCacheMiss. +template +auto frozen_call(DagCache* cache, Body&& body) -> decltype(std::forward(body)(std::declval())) { + using Result = decltype(std::forward(body)(std::declval())); + static_assert(std::is_nothrow_move_constructible_v, "the result moves out after the publication"); + FrozenTally tally(cache); + try { + Result result = std::forward(body)(tally); + tally.publish(); + return result; + } catch (const DagCacheMiss&) { + tally.miss(); + throw; + } +} + +} // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/endpoints.hpp b/include/netgraph/core/detail/endpoints.hpp index 1db481c..6045146 100644 --- a/include/netgraph/core/detail/endpoints.hpp +++ b/include/netgraph/core/detail/endpoints.hpp @@ -25,14 +25,20 @@ inline std::string overlap_error(NodeId v, const char* a, const char* b) { return "node " + std::to_string(v) + " is in both endpoint sets: " + a + " and " + b + " must not overlap"; } -// The sorted, duplicate-free node set; std::invalid_argument for an empty set or an id out of -// range (`name` labels the message). -[[nodiscard]] inline std::vector node_set(std::span nodes, std::int32_t num_nodes, - const char* name) { +// node_set's checks without the set: std::invalid_argument for an empty set or an id out of range +// (the first one, in input order; `name` labels the message). +inline void check_range(std::span nodes, std::int32_t num_nodes, const char* name) { if (nodes.empty()) throw std::invalid_argument(empty_set_error(name)); for (NodeId v : nodes) { if (v < 0 || v >= num_nodes) throw std::invalid_argument(node_range_error(name, std::to_string(v), num_nodes)); } +} + +// The sorted, duplicate-free node set; std::invalid_argument for an empty set or an id out of +// range (`name` labels the message). +[[nodiscard]] inline std::vector node_set(std::span nodes, std::int32_t num_nodes, + const char* name) { + check_range(nodes, num_nodes, name); std::vector out(nodes.begin(), nodes.end()); std::sort(out.begin(), out.end()); out.erase(std::unique(out.begin(), out.end()), out.end()); diff --git a/include/netgraph/core/detail/enum_domain.hpp b/include/netgraph/core/detail/enum_domain.hpp index 0fa3c5e..c88b6f0 100644 --- a/include/netgraph/core/detail/enum_domain.hpp +++ b/include/netgraph/core/detail/enum_domain.hpp @@ -8,6 +8,7 @@ #include #include "netgraph/core/options.hpp" +#include "netgraph/core/search.hpp" namespace netgraph::core::detail { @@ -57,6 +58,14 @@ inline void check_member(Direction v, const char* field) { not_a_member(field, static_cast(v), "Direction"); } +inline void check_member(SpfQueue v, const char* field) { + switch (v) { + case SpfQueue::Auto: + case SpfQueue::Heap: return; + } + not_a_member(field, static_cast(v), "SpfQueue"); +} + // The two enum-typed fields of a selection. inline void check_selection(const PathSelection& selection) { check_member(selection.tie_break, "selection.tie_break"); diff --git a/include/netgraph/core/detail/evaluator_checks.hpp b/include/netgraph/core/detail/evaluator_checks.hpp index 6d8b361..b50bfa9 100644 --- a/include/netgraph/core/detail/evaluator_checks.hpp +++ b/include/netgraph/core/detail/evaluator_checks.hpp @@ -1,11 +1,15 @@ -/* The evaluators' argument checks and worker default (internal), shared with the Python - binding so that both report the same first error (APPROACH 4 and 11). */ +/* The evaluators' argument checks, worker default and in-call forms (internal), shared with the + Python binding so that both report the same first error (APPROACH 4 and 11) and publish a frozen + cache's statistics at the same boundary (NOTES R27). */ #pragma once #include #include #include +#include +#include +#include "netgraph/core/detail/cache_access.hpp" #include "netgraph/core/evaluators.hpp" #include "netgraph/core/graph.hpp" #include "netgraph/core/types.hpp" @@ -25,4 +29,18 @@ void check_batch_pair(const Graph& g, std::span sources, // (APPROACH 11). std::int32_t default_workers(bool sensitivity) noexcept; +// The evaluators inside a public call: as capacity, batch_capacity and sensitivity, with a +// supplied frozen cache's hits recorded in `tally` and nothing published. The public evaluators +// are frozen_call over these; the Python binding runs frozen_call over these and the construction +// of its result object, so the hits count only once that object exists. +PlacementResult capacity_in_call(const Graph& g, std::span sources, + std::span destinations, const CapacityOptions& opts, FrozenTally& tally); +std::vector batch_capacity_in_call( + const Graph& g, const std::vector, std::vector>>& pairs, + const CapacityOptions& opts, std::span per_pair_elig, std::int32_t workers, + FrozenTally& tally); +SensitivityResult sensitivity_in_call(const Graph& g, std::span sources, + std::span destinations, const SensitivityOptions& opts, + std::int32_t workers, FrozenTally& tally); + } // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/int128.hpp b/include/netgraph/core/detail/int128.hpp index a487ad1..d001c60 100644 --- a/include/netgraph/core/detail/int128.hpp +++ b/include/netgraph/core/detail/int128.hpp @@ -133,4 +133,19 @@ inline Dyadic dyadic(double f) noexcept { return d; } +// cost <= f * base, exactly (the Stretch ceiling of APPROACH 6 and 9.1): f is the dyadic rational +// it is (finite, f >= 1), cost >= 0 and base >= 1 below 2^63. f = m * 2^x with m odd below 2^53; +// bit lengths are compared before any shift, so no product exceeds 128 bits. +inline bool stretch_le(std::int64_t cost, std::int64_t base, double f) noexcept { + const auto [m, x] = dyadic(f); + const U128 rhs = mul_u64(static_cast(base), m); // below 2^116 + if (x >= 0) { + if (bits(rhs) + x > 64) return true; // rhs * 2^x >= 2^64 > cost + return !(shl(rhs, x) < U128 {0, static_cast(cost)}); + } + // f >= 1 with m < 2^53: -x < 53, so cost * 2^-x < 2^116. + const U128 lhs = shl(U128 {0, static_cast(cost)}, -x); + return !(rhs < lhs); +} + } // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/kernels.hpp b/include/netgraph/core/detail/kernels.hpp index 25e4c7a..9f4d97a 100644 --- a/include/netgraph/core/detail/kernels.hpp +++ b/include/netgraph/core/detail/kernels.hpp @@ -8,12 +8,15 @@ */ #pragma once +#include #include +#include #include #include #include #include +#include "netgraph/core/detail/traversal.hpp" #include "netgraph/core/graph.hpp" #include "netgraph/core/options.hpp" #include "netgraph/core/pred_dag.hpp" @@ -67,21 +70,47 @@ struct KernelPlan { FlowPlacement placement {FlowPlacement::MaxFlow}; Admission admission {Admission::Lossless}; NodeId src {0}; - std::vector dsts {}; // ascending std::vector route {}; // ascending: the flow's route (its record's bundle) std::vector members {}; // ascending: the split graph std::vector weights {}; // Weighted: per member (positive), frozen; else empty - // The split graph's nodes in a topological order (the source first), with per position its - // out-members members[out_begin[p] .. out_end[p]) (consecutive in ascending EdgeId: B' ids - // rank edges by source first) and per member the position of its head. Empty when the split - // graph is empty. - std::vector topo {}; - std::vector out_begin {}; - std::vector out_end {}; - std::vector head_pos {}; - std::vector terminal {}; + // The destinations (ascending) and the split graph's nodes in a topological order (the source + // first), with per position its out-members members[out_begin[p] .. out_end[p]) (consecutive in + // ascending EdgeId: B' ids rank edges by source first) and per member the position of its head; + // the structure is empty when the split graph is empty. Views of one block the plan owns + // (layout()), so a plan costs one allocation for all of them. + std::span dsts {}; + std::span topo {}; + std::span out_begin {}; + std::span out_end {}; + std::span head_pos {}; + std::span terminal {}; std::int32_t src_out_begin {0}; std::int32_t src_out_end {0}; + + KernelPlan() = default; + KernelPlan(const KernelPlan& other); + KernelPlan(KernelPlan&& other) noexcept; + KernelPlan& operator=(const KernelPlan& other); + KernelPlan& operator=(KernelPlan&& other) noexcept; + ~KernelPlan() = default; + + // The writable views of a new block: the destinations copied in, the structure for `positions` + // nodes and `num_members` members zeroed. One allocation, made before anything changes (a + // failure leaves the plan as it was); the previous block is released. + struct Layout { + std::span topo; + std::span out_begin; + std::span out_end; + std::span head_pos; + std::span terminal; + }; + Layout layout(std::span destinations, std::size_t positions, std::size_t num_members); + +private: + // Points the views into store_ for these sizes (the layout's order: dsts, topo, out_begin, + // out_end, head_pos, then terminal as bytes). + Layout point(std::size_t num_dsts, std::size_t positions, std::size_t num_members) noexcept; + std::vector store_ {}; }; // The edges of `dag` that lie on some walk from `src` to the destination set (edges leaving a @@ -120,6 +149,38 @@ struct KernelPlan { EdgePriority priority, NodeId src, std::span dsts, const PredDAG& bundle, const Eligibility* elig, Cost* cost = nullptr); +// ---------------------------------------------------------------- CostOnly creation (9.1, 10) + +// std::lower_bound(a, x) on an ascending `a`, found from position `hint` (the creation walk's +// previous range): a galloping probe toward x (1, 2, 4, ... away from the hint), then a binary +// search inside the last step. The answer is std::lower_bound's whatever the hint (the first +// position holding a value >= x, a.size() when none); only the probes differ. +[[nodiscard]] std::size_t lower_bound_from(std::span a, std::size_t hint, EdgeId x) noexcept; + +// The creation products of a CostOnly flow: its record bundle, its plan and its route cost. +struct CreationProducts { + std::shared_ptr bundle {}; + KernelPlan plan {}; + Cost cost {kUnreachable}; +}; + +// The products of a CostOnly flow of `src` created on its policy's static support (`support`: a +// reverse multipath support rooted at the destination set `dsts`) in one pass over its route: +// support_route's route for `selection` (Collapse on `view`), its record bundle (`support` itself +// when the route is the whole support, else PredDAGBuilder::of_edges of the route), and make_plan's +// plan and cost on that bundle, identical to those functions' for every input it accepts. It +// accepts a multipath selection with a kernel of static membership (every kernel but Weighted with +// Residual priority) and checks, while it builds, that the plan's members are the whole route: +// every route edge a member candidate, none leaving a destination, every route node reaching a +// destination, the source first in the topological order, no cycle, the members of a tail +// consecutive. Otherwise, and when src reaches no destination, it returns nullopt, and the caller +// takes those functions' path. Nothing proportional to the graph's size is allocated per call. +[[nodiscard]] std::optional cost_only_creation(const Graph& g, + const std::shared_ptr& support, + NodeId src, std::span dsts, + const PathSelection& selection, PriorityFn view, + FlowPlacement placement, Admission admission); + // ---------------------------------------------------------------- allocation (16.2, 16.3) // The cumulative allocation alloc(T) of a Weighted or EqualBalanced plan, member-aligned: diff --git a/include/netgraph/core/detail/policy_engine.hpp b/include/netgraph/core/detail/policy_engine.hpp index 9991cd9..d9bab86 100644 --- a/include/netgraph/core/detail/policy_engine.hpp +++ b/include/netgraph/core/detail/policy_engine.hpp @@ -6,6 +6,7 @@ #include #include #include +#include #include #include @@ -71,6 +72,13 @@ struct PolicyEngine { struct PolicyAccess { [[nodiscard]] static const PolicyEngine& engine(const FlowPolicy& policy) noexcept { return *policy.engine_; } [[nodiscard]] static PolicyEngine& engine(FlowPolicy& policy) noexcept { return *policy.engine_; } + // A policy constructed inside another public call, whose tally records a supplied frozen + // cache's hits (NOTES R27); returned as a prvalue (FlowPolicy does not move). + [[nodiscard]] static FlowPolicy make(FlowLedger& ledger, std::span sources, + std::span destinations, FlowPolicyConfig config, + const Eligibility* elig, DagCache* cache, FrozenTally& tally) { + return FlowPolicy(ledger, sources, destinations, std::move(config), elig, cache, tally); + } }; // The configuration checks of FlowPolicy (APPROACH 9; enumeration values first, rule 13), diff --git a/include/netgraph/core/detail/pred_dag_builder.hpp b/include/netgraph/core/detail/pred_dag_builder.hpp index 648b9fa..1e3dc35 100644 --- a/include/netgraph/core/detail/pred_dag_builder.hpp +++ b/include/netgraph/core/detail/pred_dag_builder.hpp @@ -14,10 +14,19 @@ namespace netgraph::core::detail { struct PredDAGBuilder { // The DAG of an edge set known to be acyclic and duplicate-free: per node its predecessor // entries (edge_src, e) in ascending EdgeId. Not validated beyond what the callers guarantee. - // O(|edges| + N) for ascending input (every caller's), O(|edges| log |edges| + N) otherwise - // (a sort first); the grouping by child is a stable counting sort over a temporary N + 1 - // array, and nothing retained is proportional to the graph's size. + // A small set (8 |edges| < N) is grouped by sorting, O(|edges| log |edges|), with nothing + // proportional to the graph's size; a larger one by a stable counting sort over a temporary + // N + 1 array, O(|edges| + N) (a sort first when the input is not ascending). Nothing retained + // is proportional to the graph's size. [[nodiscard]] static PredDAG of_edges(const Graph& g, std::span edges); + // The DAG without entries. + [[nodiscard]] static PredDAG empty(const Graph& g); + // A DAG from its finished parts (the searches' emission): `nodes` the children with entries + // (ascending), `offsets` their entry ranges (nodes.size() + 1, from 0), `parents` and `via` the + // entries (ascending via within a child), `ascending` the via in ascending EdgeId. + [[nodiscard]] static PredDAG of_parts(const Graph& g, std::vector nodes, std::vector offsets, + std::vector parents, std::vector via, + std::vector ascending); // A Path's DAG: hop h's members (ascending) are the entries of child nodes[h + 1], all with // the parent nodes[h]; the nodes are distinct. [[nodiscard]] static PredDAG of_path(std::uint64_t graph_uid, std::int32_t num_nodes, @@ -31,4 +40,13 @@ struct PredDAGBuilder { [[nodiscard]] static std::size_t payload_bytes(const PredDAG& dag) noexcept; }; +// Internal construction of Path values from trusted walks (the searches' results): the checks of +// Path's constructor hold by construction, so none is repeated (no per-path O(E) scan). +struct PathBuilder { + // A walk of single-member hops [[e1], [e2], ...]. + [[nodiscard]] static Path of_walk(const Graph& g, std::span walk); + // Contiguous hops of parallel members (each hop's members share (u, v); no node repeats). + [[nodiscard]] static Path of_hops(const Graph& g, std::vector> hops); +}; + } // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/search.hpp b/include/netgraph/core/detail/search.hpp deleted file mode 100644 index f0a4eb0..0000000 --- a/include/netgraph/core/detail/search.hpp +++ /dev/null @@ -1,126 +0,0 @@ -/* The search semantics of APPROACH 6 as internal routines (the DagCache's supports, the - policies' routes and the private _spf entry of the bindings). - - Positive costs make the shortest-path DAG from a root set unique (2.4): the tight edges - d(u) + cost(e) = d(v) of the member graph. With targets the DAG is pruned to the walks that - end in a nearest target (anycast), the same edge set for a forward search from the roots - and a reverse search rooted at the targets. The single path is the staged canonical walk: - (1) the tight DAG of the query, (2) under PreferHigherPriority the best attainable - bottleneck B* (a max-min DP on the DAG) and the DAG restricted to priority >= B*, (3) one - reverse hop count h from the targets and a greedy walk taking the smallest tight edge whose - head has h(v) = h(u) - 1. -*/ -#pragma once - -#include -#include -#include -#include - -#include "netgraph/core/graph.hpp" -#include "netgraph/core/options.hpp" -#include "netgraph/core/pred_dag.hpp" -#include "netgraph/core/types.hpp" - -namespace netgraph::core::detail { - -// An exact priority value: num / den with den >= 1 (den == 1 for Residual and Capacity, the -// capacity for Headroom); `infinite` above every finite value (the bottleneck of an empty walk). -struct Priority { - Amount num {0}; - Amount den {1}; - bool infinite {false}; -}; -[[nodiscard]] int compare(const Priority& a, const Priority& b) noexcept; // -1, 0, 1 - -// The priority value of an edge with `residual` units left of `capacity`: the residual units -// (Residual), the capacity units (Capacity) or the rational residual / capacity (Headroom). -[[nodiscard]] Priority priority_value(EdgePriority priority, Amount residual, Amount capacity) noexcept; - -// The per-edge priority values a search reads: `residual` empty (no residual) reads the static -// capacity for every priority; else priority_value on the residual. -struct PriorityValues { - const Graph* g {nullptr}; - EdgePriority priority {EdgePriority::Capacity}; - std::span residual {}; - [[nodiscard]] Priority of(EdgeId e) const noexcept; -}; - -// select_adjacency (APPROACH 6): whether member `e` replaces `cur`, the choice so far among the -// eligible members of one (u, v) pair seen in ascending EdgeId (cur < e): the lower cost, then -// under PreferHigherPriority (`prefer`) the higher priority value; on a tie the lower EdgeId -// (cur) stays. `value(e)` reads the priority value of an edge on the view of the selection. -template -[[nodiscard]] bool replaces(const Graph& g, EdgeId e, EdgeId cur, bool prefer, const Value& value) { - const auto cost = g.cost(); - const Cost ce = cost[static_cast(e)]; - const Cost cc = cost[static_cast(cur)]; - if (ce != cc) return ce < cc; - return prefer && compare(value(e), value(cur)) > 0; -} - -// The member graph (flags per edge): statically eligible, capacity >= 1 unit, residual >= -// min_residual when a residual is given; with multi_edge = false one member per (u, v) by -// select_adjacency. -[[nodiscard]] std::vector member_mask(const Graph& g, const Eligibility* elig, - const PathSelection& selection, - std::span residual, Amount min_residual); - -// Dijkstra over the members from (Forward) or toward (Reverse) the root set; kUnreachable for -// the nodes it does not reach. -[[nodiscard]] std::vector distances(const Graph& g, std::span member, - std::span roots, Direction direction); - -// The tight edges among the reached nodes of a full search (forward-oriented), ascending. -[[nodiscard]] std::vector full_dag(const Graph& g, std::span member, - std::span dist, Direction direction); - -// The edges on the minimum-cost walks from the source set to the destination set (the walks -// of cost d* = min over destinations of the distance), ascending; cost kUnreachable and no -// edge when no destination is reachable. -struct TightDag { - Cost cost {0}; - std::vector edges {}; -}; -[[nodiscard]] TightDag tight_dag(const Graph& g, std::span member, - std::span sources, std::span destinations); - -// The staged canonical single path from the source set to the destination set over the -// members; `priority` null for Deterministic. -struct SinglePath { - std::vector walk {}; // in walk order - Cost cost {0}; -}; -[[nodiscard]] std::optional canonical_path(const Graph& g, - std::span member, - std::span sources, - std::span destinations, - const PriorityValues* priority); - -// The search of APPROACH 6: validates (std::invalid_argument) the direction and the selection -// (enumeration values), the root set (non-empty, ids in range; duplicates removed), the targets -// when given (non-empty, ids in range, disjoint from the roots), multipath = false without -// targets, the residual (length E, entries in [0, capacity_units]), min_residual >= 1 and a -// foreign Eligibility, before any work. Excluded roots and targets are skipped (all excluded: -// an empty result). Without targets: `costs` for every node and the full DAG; with targets: the -// anycast-pruned DAG (or the canonical single path for multipath = false) and `target_cost` -// (nullopt when no target is reachable). -struct SpfOut { - std::optional> costs {}; - std::vector edges {}; - std::optional target_cost {}; - std::optional path {}; -}; -[[nodiscard]] SpfOut spf(const Graph& g, std::span roots, Direction direction, - std::optional> targets, const PathSelection& selection, - std::optional> residual, Amount min_residual, - const Eligibility* elig); - -// The full static support of a search from (Forward) or toward (Reverse) the root set: every -// tight edge of the statically eligible member graph (multipath, multi_edge, no residual) over -// the nodes it reaches, forward-oriented (APPROACH 10: the DagCache's value, and a CostOnly -// policy's DAG when it has no cache). -[[nodiscard]] PredDAG static_support(const Graph& g, std::span roots, Direction direction, - const Eligibility* elig); - -} // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/traversal.hpp b/include/netgraph/core/detail/traversal.hpp new file mode 100644 index 0000000..4ad0be6 --- /dev/null +++ b/include/netgraph/core/detail/traversal.hpp @@ -0,0 +1,146 @@ +/* The one traversal core of every search (internal; APPROACH 6 and 14): public spf, the + policies' route searches, the DagCache's supports and KSP's spur searches. + + One Dijkstra loop, parametrised by the direction (Forward scans a node's out-edge id range, + Reverse its in-edge slots) and the queue (a binary heap, or monotone cyclic buckets when the + graph's costs fit 65,536 buckets), both popping in (distance, node) order. Positive costs make + the set of tight edges d(u) + cost(e) = d(v) of a fixed member graph unique (2.4), whatever the + pop order among equal distances; the loop records them in per-node lists while it runs. An edge + is a candidate when it passes static eligibility, capacity >= 1 unit and the residual gate; + Collapse (multi_edge = false) keeps one member per (u, v) pair by select_adjacency when the + tight edges are emitted (it never changes a distance). With targets the loop stops at the first + target popped: every node nearer than that distance d* is settled by then, so every target at + d* has its final distance, and the walks back from the targets at d* are the anycast-pruned DAG. + The canonical single path is extracted from that DAG in stages (section 6) with the search's + own distances as the topological order: no second traversal. + + Every call leases the thread's workspace (node arrays reset through touched lists); the lease + restores it on every exit, exceptions included, and overlapping leases are refused. +*/ +#pragma once + +#include +#include +#include +#include + +#include "netgraph/core/graph.hpp" +#include "netgraph/core/options.hpp" +#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/search.hpp" +#include "netgraph/core/types.hpp" + +namespace netgraph::core::detail { + +// An exact priority value: num / den with den >= 1 (den == 1 for Residual and Capacity, the +// capacity for Headroom); `infinite` above every finite value (the bottleneck of an empty walk). +struct Priority { + Amount num {0}; + Amount den {1}; + bool infinite {false}; +}; +[[nodiscard]] int compare(const Priority& a, const Priority& b) noexcept; // -1, 0, 1 + +// The priority value of an edge with `residual` units left of `capacity`: the residual units +// (Residual), the capacity units (Capacity) or the rational residual / capacity (Headroom). +[[nodiscard]] Priority priority_value(EdgePriority priority, Amount residual, Amount capacity) noexcept; + +// The per-edge priority values a search reads: `residual` empty (no residual) reads the static +// capacity for every priority (APPROACH 10); else priority_value on the residual. +struct PriorityValues { + const Graph* g {nullptr}; + EdgePriority priority {EdgePriority::Capacity}; + std::span residual {}; + [[nodiscard]] Priority of(EdgeId e) const noexcept; +}; + +// Any source of per-edge priority values (a search's PriorityValues, a policy's working view), +// without a virtual call or an allocation. +struct PriorityFn { + const void* ctx {nullptr}; + Priority (*fn)(const void*, EdgeId) noexcept {nullptr}; + [[nodiscard]] Priority operator()(EdgeId e) const noexcept { return fn(ctx, e); } + [[nodiscard]] static PriorityFn of(const PriorityValues& values) noexcept; +}; + +// select_adjacency (APPROACH 6): whether member `e` replaces `cur`, the choice so far among the +// eligible members of one (u, v) pair seen in ascending EdgeId (cur < e): the lower cost, then +// under PreferHigherPriority (`prefer`) the higher priority value; on a tie the lower EdgeId +// (cur) stays. `value(e)` reads the priority value of an edge on the view of the selection. +template +[[nodiscard]] bool replaces(const Graph& g, EdgeId e, EdgeId cur, bool prefer, const Value& value) { + const auto cost = g.cost(); + const Cost ce = cost[static_cast(e)]; + const Cost cc = cost[static_cast(cur)]; + if (ce != cc) return ce < cc; + return prefer && compare(value(e), value(cur)) > 0; +} + +// ---------------------------------------------------------------- queue dispatch + +// The bucket queue's limit (an engineering cap, not a proven crossover): Auto takes the buckets +// when W = max_cost / max(1, cost_gcd) + 1 <= kMaxBucketWidth. +inline constexpr std::int64_t kMaxBucketWidth = std::int64_t {1} << 16; +// W of g (1 on a graph without edges: max_cost and cost_gcd are 0 there). +[[nodiscard]] std::int64_t bucket_width(const Graph& g) noexcept; +// Whether a search on g with `queue` runs on the buckets (Heap never does). +[[nodiscard]] bool uses_buckets(const Graph& g, SpfQueue queue) noexcept; + +// ---------------------------------------------------------------- searches of validated inputs + +// The candidates of a search beyond capacity >= 1 unit (validated by the caller): the static +// Eligibility (null: everything allowed) and a residual gate (`residual` empty: none; else E +// entries, an edge needs residual >= min_residual >= 1). +struct Gate { + const Eligibility* elig {nullptr}; + std::span residual {}; + Amount min_residual {1}; +}; + +// A policy's route: the edges in ascending EdgeId and the cost of its walks. +struct SearchRoute { + std::vector edges {}; + Cost cost {kUnreachable}; +}; + +// CapacityAware's search (APPROACH 9.1): forward from `src` toward the destination set (allowed +// ones; disjoint from src) over the candidates of `gate`, Collapse and the staged single path by +// `selection` with the priority values on `gate.residual`; nullopt when no destination is reached. +[[nodiscard]] std::optional route_search(const Graph& g, const Gate& gate, const PathSelection& selection, + NodeId src, std::span dests); + +// CostOnly's projection of a cached full static support (APPROACH 9.1, 10): the support edges +// reachable from `src` (ascending `support`: a reverse multipath DAG rooted at the destination +// set), Collapse by `selection` on the priority values `view` (no residual gating), and for +// multipath = false the staged canonical single path on that part, its distances derived from the +// support itself. An empty route when src reaches no destination of `dests` in the support. +[[nodiscard]] SearchRoute support_route(const Graph& g, std::span support, NodeId src, + std::span dests, const PathSelection& selection, PriorityFn view); + +// The full static support of a search from (Forward) or toward (Reverse) the root set (every root +// in range; excluded roots skipped): every tight edge of the statically eligible member graph +// (multipath, multi_edge, no residual) over the nodes it reaches, forward-oriented (the DagCache's +// value, and a CostOnly policy's DAG when it has no cache). +[[nodiscard]] PredDAG static_support(const Graph& g, std::span roots, Direction direction, + const Eligibility* elig); + +// The static cost from each of `sources` to the nearest of `dests` (allowed ones) over the +// statically eligible edges of at least 1 unit, kUnreachable where there is no walk (the +// CapacityAware and Global rosters and the Stretch baselines). +[[nodiscard]] std::vector static_costs(const Graph& g, const Eligibility* elig, std::span dests, + std::span sources); + +// The rule-13 check of a cost ceiling (APPROACH 6; KSP and CapacityAware): Absolute's cost >= 0, +// Stretch's factor finite and in [1, inf); std::invalid_argument naming max_path_cost. +void check_ceiling(const std::optional& ceiling); + +#if NETGRAPH_CORE_PRIVATE_HOOKS +// Test evidence (C++ tests, hooks builds only): the queue of every search this thread ran. +struct QueueCounts { + std::int64_t heap {0}; + std::int64_t buckets {0}; +}; +QueueCounts& thread_queue_counts() noexcept; +#endif + +} // namespace netgraph::core::detail diff --git a/include/netgraph/core/evaluators.hpp b/include/netgraph/core/evaluators.hpp index dca860f..3fe7d0e 100644 --- a/include/netgraph/core/evaluators.hpp +++ b/include/netgraph/core/evaluators.hpp @@ -49,6 +49,10 @@ struct SensitivityResult { std::vector entries {}; // ascending EdgeId; an absent edge has loss 0 }; +// Each evaluator is one public call on a supplied frozen cache's statistics (dag_cache.hpp): its +// hits count when it returns; a failed call changes no statistic, except one miss when it raises +// DagCacheMiss. + // place(+inf) of a FlowPolicy with opts.cfg on a fresh ledger of g (its capacities). [[nodiscard]] PlacementResult capacity(const Graph& g, std::span sources, std::span destinations, const CapacityOptions& opts); @@ -56,13 +60,17 @@ struct SensitivityResult { // capacity() per pair, in pair order, with opts.elig intersected with per_pair_elig[i] (null // entries allowed; an empty span means none: the Python binding checks the length of every // sequence it is given). Validated before any worker starts, the arguments first (workers >= 1, -// opts.elig's and the cache's graph, a supplied cache only with workers == 1: a building cache -// has one writer; Pinned rejected: bundles bind endpoints; the per_pair_elig length; the +// opts.elig's and the cache's graph, a supplied building cache only with workers == 1: it has +// one writer, while a frozen cache is shared by every worker; Pinned rejected: bundles bind +// endpoints; the per_pair_elig length; the // configuration), then each pair completely in pair order (its endpoint sets, their overlap, // its Eligibility's graph), so the lowest failing pair index is reported. Without a supplied // cache each worker owns a private building cache, allocated before any thread starts. A worker // exception aborts the batch and the exception of the lowest pair index is raised; an empty -// batch returns an empty list. +// batch returns an empty list. A frozen cache's DagCacheMiss propagates unchanged; a per-pair +// intersection that differs from both operands has a fresh uid, absent from a frozen cache +// (APPROACH 10: already effective per-pair values with a null common value, or a common value +// containing them, reuse the prepopulated operand). [[nodiscard]] std::vector batch_capacity( const Graph& g, const std::vector, std::vector>>& pairs, const CapacityOptions& opts, std::span per_pair_elig, std::int32_t workers); @@ -81,7 +89,9 @@ struct SensitivityResult { // the entry unevaluable with its message as the reason. Every other exception propagates (the // lowest candidate's). Workers and the cache // rule as batch_capacity; a worker's private cache is cleared per candidate (fresh Eligibility -// uids never hit). +// uids never hit). CostOnly is the one model reading the cache: with a frozen cache a +// placed deletion raises DagCacheMiss (a fresh uid), which propagates unchanged (it is not a +// std::runtime_error, so never `unevaluable`); the other models read no cache. [[nodiscard]] SensitivityResult sensitivity(const Graph& g, std::span sources, std::span destinations, const SensitivityOptions& opts, std::int32_t workers); diff --git a/include/netgraph/core/flow_policy.hpp b/include/netgraph/core/flow_policy.hpp index 588bba2..f72734f 100644 --- a/include/netgraph/core/flow_policy.hpp +++ b/include/netgraph/core/flow_policy.hpp @@ -22,6 +22,7 @@ namespace netgraph::core { namespace detail { struct PolicyEngine; struct PolicyAccess; +class FrozenTally; } // namespace detail // CapacityAware creations per call (stage 1 and accepted growth, across sources) before the @@ -154,6 +155,10 @@ class FlowPolicy { private: friend struct detail::PolicyAccess; + // Construction inside another public call (an evaluator): a supplied frozen cache's hits are + // recorded in that call's tally (NOTES R27). + FlowPolicy(FlowLedger& ledger, std::span sources, std::span destinations, + FlowPolicyConfig config, const Eligibility* elig, DagCache* cache, detail::FrozenTally& tally); std::unique_ptr engine_; }; diff --git a/include/netgraph/core/pred_dag.hpp b/include/netgraph/core/pred_dag.hpp index 2660201..233f510 100644 --- a/include/netgraph/core/pred_dag.hpp +++ b/include/netgraph/core/pred_dag.hpp @@ -12,6 +12,7 @@ namespace netgraph::core { namespace detail { struct PredDAGBuilder; +struct PathBuilder; } // namespace detail // An immutable, graph-bound DAG in predecessor CSR form: the predecessor entries of node v are @@ -81,6 +82,8 @@ class Path { } private: + friend struct detail::PathBuilder; + Path() = default; std::uint64_t graph_uid_ {0}; std::int32_t num_nodes_ {0}; std::vector> hops_ {}; diff --git a/include/netgraph/core/search.hpp b/include/netgraph/core/search.hpp new file mode 100644 index 0000000..d1dd2c8 --- /dev/null +++ b/include/netgraph/core/search.hpp @@ -0,0 +1,102 @@ +/* The public search (APPROACH 5 and 6): spf from a set of roots, forward or reverse, with an + optional set of targets (anycast); ksp, the K shortest paths in the canonical order; and + resolve_to_paths, a DAG unfolded into explicit paths. */ +#pragma once + +#include +#include +#include +#include +#include + +#include "netgraph/core/graph.hpp" +#include "netgraph/core/options.hpp" +#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/types.hpp" + +namespace netgraph::core { + +// The frontier queue of a search (C++ only; the results never depend on it). Auto takes the +// monotone bucket queue when the graph's costs fit max_cost / max(1, cost_gcd) + 1 <= 65,536 +// buckets, else the binary heap; Heap always takes the heap. Both pop in (distance, node) order +// and give identical results. +enum class SpfQueue { Auto, Heap }; + +// The options of spf (APPROACH 6). direction and selection are explicit; targets absent is a +// full search (every reachable node settled), present a search that stops at the nearest +// targets (anycast). A supplied residual (int64[E] in EdgeId order, each entry in +// [0, capacity_units]) is borrowed for the call; it adds residual gating at min_residual units +// and supplies the residual values of the selected priority. min_residual (an integer >= 1) gates +// a supplied residual only: static eligibility (the Eligibility, capacity >= 1 unit) is +// unconditional. The constructor rejects a direction outside its enumeration +// (std::invalid_argument naming the field); the fields stay assignable, so spf checks them again. +struct SpfOptions { + SpfOptions(Direction direction_, PathSelection selection_); + Direction direction; + std::optional> targets {}; + PathSelection selection; + std::optional> residual {}; + Amount min_residual {1}; + const Eligibility* elig {nullptr}; +}; + +// The result of spf. costs: full searches only (no targets), one entry per node, kUnreachable +// for the nodes the search did not reach. dag: the unique DAG of the member graph's edges that +// are tight in the traversal direction, returned in their original orientation u -> v (d the +// search's distance: d(u) + cost = d(v) for a forward search, d(v) + cost = d(u) for a reverse +// one); with targets, pruned to the walks between the roots and a nearest target (forward: from a +// root to the target; reverse: from the target to a root), or the canonical single path for +// multipath = false. target_cost: searches with targets only, the nearest targets' cost, or +// kUnreachable when no target is reached. +struct SpfResult { + std::optional> costs; + PredDAG dag; + std::optional target_cost; +}; + +// Validates in this order before any work (std::invalid_argument): the enumerations (direction, +// the selection, the queue), the root set (non-empty, ids in range; duplicates removed), the +// target set when given (the same), a vertex in both sets, multipath = false without targets, +// the residual (length E, then every entry in [0, capacity_units]), min_residual >= 1, a foreign +// Eligibility. A root or target excluded by the Eligibility is skipped; all roots excluded gives +// an empty result (no error). +[[nodiscard]] SpfResult spf(const Graph& g, std::span roots, const SpfOptions& opts, + SpfQueue queue = SpfQueue::Auto); + +// The options of ksp (APPROACH 6, rule 10). k (>= 1) and selection are explicit; the selection's +// multi_edge is the member rule (Expand keeps every eligible parallel member, Collapse one per +// (u, v) pair by select_adjacency) and multipath is ignored. max_path_cost: an inclusive ceiling, +// Absolute(c) (c >= 0) or Stretch(f) (f finite in [1, inf), read as the exact dyadic rational it +// is) times the static shortest cost of the member graph under the Eligibility, residual ignored. +// A supplied residual (validated as for spf, borrowed for the call) gates at 1 unit and supplies +// the priority values. The fields stay assignable; ksp checks them. +struct KspOptions { + KspOptions(std::int64_t k_, PathSelection selection_); + std::int64_t k; + std::optional max_path_cost {}; + PathSelection selection; + std::optional> residual {}; + const Eligibility* elig {nullptr}; +}; + +// The K shortest simple src -> dst paths of the member graph in increasing (cost, -bottleneck +// under PreferHigherPriority, hops, edge-id sequence), the bottleneck being the minimum priority +// value along a path: the minimal prefix of that order, truncated at k and at the ceiling. Each +// path is a Path of single-member hops with its cost. Validates in this order before any work +// (std::invalid_argument): the selection's enumerations, src and dst in range, src == dst, k >= 1, +// the ceiling, the residual, a foreign Eligibility. An excluded endpoint, no static route under a +// Stretch ceiling, or no path gives an empty list. +[[nodiscard]] std::vector> ksp(const Graph& g, NodeId src, NodeId dst, const KspOptions& opts); + +// The src -> dst walks of a DAG (APPROACH 5) in increasing (cost, hops, edge-id sequence): a hop's +// cost is its cheapest member's, and a grouped hop is represented in the key by its lowest member +// id. split_parallel_edges = false keeps every parallel member of the DAG's (u, v) pair in one hop +// (members ascending); true gives one path per member combination, in the same order. max_paths +// (>= 1) truncates the sorted list; absent, every walk. Validates (std::invalid_argument): a DAG of +// another graph, src and dst in range, src == dst, max_paths >= 1. An endpoint outside the DAG, or +// no walk, gives an empty list. +[[nodiscard]] std::vector resolve_to_paths(const Graph& g, const PredDAG& dag, NodeId src, NodeId dst, + bool split_parallel_edges = false, + std::optional max_paths = std::nullopt); + +} // namespace netgraph::core diff --git a/python/netgraph_core/__init__.py b/python/netgraph_core/__init__.py index 2b9ee44..8cca271 100644 --- a/python/netgraph_core/__init__.py +++ b/python/netgraph_core/__init__.py @@ -11,10 +11,10 @@ with its ``FlowRecord`` snapshots), the policy engine (``FlowPolicy`` with ``FlowPolicyConfig`` over the routing variants ``CostOnly``, ``CapacityAware``, ``Global``, ``Pinned``; ``PlacementResult``, ``OutputOptions``, ``Termination``), the -``DagCache`` (building mode) and the evaluators (``capacity``, ``batch_capacity``, -``sensitivity``). The public search API (shortest paths, k shortest paths, path -resolution) and the frozen cache are not part of this build; ``_netgraph_core`` also holds the private entries -of the flow core and the internal search, which are never re-exported here. +``DagCache`` (building and frozen modes, ``DagCacheMiss``) and the evaluators (``capacity``, ``batch_capacity``, +``sensitivity``) and the public search (``spf`` with ``Direction``, ``SpfOptions``, +``SpfResult`` and the ``UNREACHABLE`` sentinel; ``ksp`` with ``KspOptions``; ``resolve_to_paths``). ``_netgraph_core`` also holds the private +entry of the flow core, which is never re-exported here. """ # pyright: reportMissingImports=false @@ -24,14 +24,17 @@ from _netgraph_core import ( MAX_FLOWS_PER_CALL, + UNREACHABLE, Absolute, Admission, CapacityAware, CapacityOptions, CostOnly, DagCache, + DagCacheMiss, DagCacheStats, DiminishingReturns, + Direction, EdgePriority, EdgeTieBreak, Eligibility, @@ -42,6 +45,7 @@ FlowRecord, Global, Graph, + KspOptions, OutputOptions, Path, PathSelection, @@ -52,12 +56,17 @@ SensitivityOptions, SensitivityResult, SensitivityStatus, + SpfOptions, + SpfResult, Stretch, Termination, as_float, batch_capacity, capacity, + ksp, + resolve_to_paths, sensitivity, + spf, to_units, ) @@ -71,14 +80,17 @@ if TYPE_CHECKING: # pragma: no cover - typing-only from ._docs import ( # noqa: I001 MAX_FLOWS_PER_CALL as MAX_FLOWS_PER_CALL, + UNREACHABLE as UNREACHABLE, Absolute as Absolute, Admission as Admission, CapacityAware as CapacityAware, CapacityOptions as CapacityOptions, CostOnly as CostOnly, DagCache as DagCache, + DagCacheMiss as DagCacheMiss, DagCacheStats as DagCacheStats, DiminishingReturns as DiminishingReturns, + Direction as Direction, EdgePriority as EdgePriority, EdgeTieBreak as EdgeTieBreak, Eligibility as Eligibility, @@ -89,6 +101,7 @@ FlowRecord as FlowRecord, Global as Global, Graph as Graph, + KspOptions as KspOptions, OutputOptions as OutputOptions, Path as Path, PathSelection as PathSelection, @@ -99,12 +112,17 @@ SensitivityOptions as SensitivityOptions, SensitivityResult as SensitivityResult, SensitivityStatus as SensitivityStatus, + SpfOptions as SpfOptions, + SpfResult as SpfResult, Stretch as Stretch, Termination as Termination, as_float as as_float, batch_capacity as batch_capacity, capacity as capacity, + ksp as ksp, + resolve_to_paths as resolve_to_paths, sensitivity as sensitivity, + spf as spf, to_units as to_units, ) @@ -137,6 +155,7 @@ "FlowPolicy", "MAX_FLOWS_PER_CALL", "DagCache", + "DagCacheMiss", "DagCacheStats", "CapacityOptions", "SensitivityOptions", @@ -146,4 +165,12 @@ "capacity", "batch_capacity", "sensitivity", + "Direction", + "SpfOptions", + "SpfResult", + "UNREACHABLE", + "spf", + "KspOptions", + "ksp", + "resolve_to_paths", ] diff --git a/python/netgraph_core/_docs.py b/python/netgraph_core/_docs.py index 1ca4f57..6422e47 100644 --- a/python/netgraph_core/_docs.py +++ b/python/netgraph_core/_docs.py @@ -9,10 +9,12 @@ the staged calls, allocates through pybind11's ``make_new_instance``, which does not check the result of ``tp_alloc``, so a Python allocation failure at that point crashes the process, with Core state unchanged; (2) a supplied building DagCache is a memo: it keeps the complete entries -and statistics of the lookups that succeeded before a later failure of the call. +and statistics of the lookups that succeeded before a later failure of the call. A frozen +DagCache's statistics are part of the guarantee: a failed call changes none of them, except one +miss when it raises ``DagCacheMiss``. -Generated ``.pyi`` stubs (pybind11-stubgen, APPROACH 13) arrive with the public search (PLAN, -sub-PR 1d); this hand-written shim is deleted in Phase 5. +This hand-written shim is the package's type declaration until Phase 5, which replaces it by +generated ``.pyi`` stubs (pybind11-stubgen, APPROACH 13) with their override file and drift check. """ from __future__ import annotations @@ -200,7 +202,8 @@ def eligibility( class EdgeTieBreak: - """Ties between equal-cost candidates, at both tie levels (parallel members and walks). + """Ties between equal-cost candidates, at both tie levels (parallel members and walks; + APPROACH 6). ``DETERMINISTIC`` takes the lowest EdgeId and ignores capacities; ``PREFER_HIGHER_PRIORITY`` prefers the higher ``priority`` value first. @@ -221,7 +224,7 @@ def value(self) -> int: ... class EdgePriority: """The per-edge value ``PREFER_HIGHER_PRIORITY`` reads, and the Weighted kernel's - membership and weights: ``RESIDUAL`` (residual units), ``CAPACITY`` (static capacity + membership and weights (APPROACH 6, 7): ``RESIDUAL`` (residual units), ``CAPACITY`` (static capacity units), ``HEADROOM`` (the exact rational residual / capacity; rejected with WEIGHTED). A search given no residual reads static capacities for every priority.""" @@ -239,6 +242,24 @@ def name(self) -> str: ... def value(self) -> int: ... +class Direction: + """The orientation of a search (APPROACH 6): ``FORWARD`` from the roots, or ``REVERSE`` + rooted at the roots over reversed arcs. A reverse search returns the forward-oriented DAG + of the walks toward its roots.""" + + FORWARD: ClassVar["Direction"] + REVERSE: ClassVar["Direction"] + __members__: ClassVar[dict[str, "Direction"]] + + def __init__(self, value: int) -> None: ... + def __int__(self) -> int: ... + def __index__(self) -> int: ... + @property + def name(self) -> str: ... + @property + def value(self) -> int: ... + + class FlowPlacement: """The kernel of one flow (APPROACH 7). @@ -720,22 +741,57 @@ def bytes(self) -> int: ... def live_values(self) -> int: ... +class DagCacheMiss(Exception): + """A lookup in a frozen DagCache whose key is absent (APPROACH 10). + + A dedicated exception (neither a RuntimeError nor a ValueError): every evaluator + propagates it unchanged, never as a sensitivity status. A frozen cache never searches, + so a miss means the caller did not prepopulate that (roots, direction, Eligibility uid). + """ + + class DagCache: """A cache of static shortest-path supports bound to one graph (APPROACH 10). Keyed ``(roots as a set, direction, Eligibility uid)``; the value is the full static support (``multipath``, ``multi_edge``, no residual) as an immutable shared value, valid - after ``clear()``. Selection is projected at creation, never cached. Building mode: one - writer, no concurrent readers (a supplied cache needs ``workers == 1``). A supplied - building cache is a memo (APPROACH 13, limit 2): a public call that fails keeps the - complete entries and statistics of the lookups that succeeded before; it never holds a - partial entry, held values stay valid, and a retained entry never changes a result. + after ``clear()`` and after the cache is gone. Selection is projected at creation, never + cached. + + Building mode (a new cache): one writer, no concurrent readers; a miss searches and + inserts; a supplied building cache needs ``workers == 1``. Frozen mode (``freeze()``): + read-only, shareable by every worker; a miss counts one miss and raises + ``DagCacheMiss``; ``clear()`` raises ValueError; ``freeze()`` again has no effect; + ``thaw()`` returns to building mode once the caller has joined every reader. A per-pair + or per-candidate Eligibility built inside a batch or a sensitivity has a new uid, so + its key is absent from a frozen cache unless the intersection returned a prepopulated + operand. + + A supplied building cache is a memo (APPROACH 13, limit 2): a public call that fails + keeps the complete entries and statistics of the lookups that succeeded before; it never + holds a partial entry, held values stay valid, and a retained entry never changes a + result. A frozen cache's statistics follow the public call that reads it (a policy + constructor, an evaluator): its hits count when the call succeeds, its Python result + included; a failed call changes no statistic, except that a call raising + ``DagCacheMiss`` counts one miss. """ def __init__(self, graph: Graph) -> None: ... - def graph_uid(self) -> int: ... + def graph_uid(self) -> int: + """uid of the graph this cache is bound to.""" + ... + + def freeze(self) -> None: + """Enter frozen mode (no effect when already frozen).""" + ... + + def thaw(self) -> None: + """Return to building mode (no effect when building); join every reader first.""" + ... + def clear(self) -> None: - """Empties the cache; the hit and miss counters persist; held values stay valid.""" + """Empty a building cache (the hit and miss counters persist; held values stay + valid); ValueError when frozen.""" ... def stats(self) -> DagCacheStats: ... @@ -903,9 +959,11 @@ def capacity( """``place(+inf)`` of a FlowPolicy with ``opts.config`` on a fresh ledger of the graph. The exact maximum flow is the Global + MaxFlow configuration (the minimum-cost maximum - flow; ``cost_distribution`` its marginal curve). A failed call raises and returns no + flow; ``cost_distribution`` its marginal curve). A supplied frozen cache raises + ``DagCacheMiss`` for an absent key, unchanged. A failed call raises and returns no result; a supplied building cache keeps the entries and statistics of the lookups that - succeeded before the failure (a memo: APPROACH 13, limit 2). + succeeded before the failure (a memo: APPROACH 13, limit 2); a supplied frozen + cache's statistics are unchanged, except one miss when the call raises ``DagCacheMiss``. """ ... @@ -925,10 +983,16 @@ def batch_capacity( rejected; the ``per_pair_elig`` length), then each pair completely in pair order (its endpoints, their overlap, its Eligibility), so the error of the lowest failing pair index is raised; an empty batch returns ``[]``. ``workers``: an explicit int >= 1 is honoured; ``None`` takes - ``NGRAPH_CORE_BATCH_THREADS`` (or 1), and 1 when a cache is supplied (a supplied - building cache is rejected unless ``workers == 1``). A failed call raises and returns + ``NGRAPH_CORE_BATCH_THREADS`` (or 1), and 1 when a cache is supplied. A supplied + building cache is rejected unless ``workers == 1``; a frozen cache is shared by every + worker (pass ``workers`` explicitly), and its ``DagCacheMiss`` for an absent key reaches + the caller unchanged (the lowest failing pair index's). A per-pair intersection that + differs from both operands has a new uid, absent from a frozen cache: pass already + effective per-pair values with ``opts.elig`` ``None``, or a common value containing them, + so the intersection returns the prepopulated operand. A failed call raises and returns no result; a supplied building cache keeps the entries and statistics of the lookups - that succeeded before the failure (a memo: APPROACH 13, limit 2). + that succeeded before the failure (a memo: APPROACH 13, limit 2); a supplied frozen + cache's statistics are unchanged, except one miss when the call raises ``DagCacheMiss``. """ ... @@ -951,8 +1015,169 @@ def sensitivity( source's reachable part of the static support loss 0 without a placement, a result-equivalent predicate; every other deletion is placed on a fresh ledger, where a model exception makes the entry ``UNEVALUABLE`` with the message as reason. ``workers`` as ``batch_capacity`` (``NGRAPH_CORE_SENSITIVITY_THREADS``). + The cache: a supplied building cache needs ``workers == 1``, a frozen one is shared by + every worker; CostOnly is the one model reading the cache, and its deletion looks up a + new Eligibility (a new uid), so with a frozen cache it raises ``DagCacheMiss`` + (unchanged, never ``UNEVALUABLE``); the other models read no cache. A failed call raises and returns no result; a supplied building cache keeps the entries and statistics of the lookups that succeeded before the failure (a memo: - APPROACH 13, limit 2). + APPROACH 13, limit 2); a supplied frozen cache's statistics are unchanged, except one + miss when the call raises ``DagCacheMiss``. + """ + ... + + +# ---------------------------------------------------------------- the public search (APPROACH 6) + +UNREACHABLE: int +"""The path-cost sentinel of an unreachable node (``2**63 - 1``) in ``SpfResult.costs``; the +result accessors that return a single cost give ``None`` instead.""" + + +class SpfOptions: + """The options of ``spf`` (APPROACH 6). + + ``direction`` and ``selection`` are explicit. ``targets`` (one NodeId or a sequence; + ``None``: a full search) stops the search at the nearest targets (anycast). ``residual`` + (int64 units per EdgeId, each in ``[0, capacity_units]``) adds residual gating at + ``min_residual`` units and supplies the priority values of the selection; ``min_residual`` + (an integer ``>= 1``) gates a supplied residual only (static eligibility, the Eligibility + and capacity ``>= 1`` unit, is unconditional). ``elig``: ``None`` allows everything. + A direction outside its enumeration raises ValueError here; every other field is + validated by ``spf``, in the contract's order. + """ + + def __init__( + self, + direction: Direction, + selection: PathSelection, + *, + targets: "int | Sequence[int] | None" = None, + residual: "Sequence[int] | np.ndarray | None" = None, + min_residual: int = 1, + elig: Eligibility | None = None, + ) -> None: ... + @property + def direction(self) -> Direction: ... + @property + def selection(self) -> PathSelection: ... + @property + def targets(self) -> "int | Sequence[int] | None": ... + @property + def residual(self) -> "Sequence[int] | np.ndarray | None": ... + @property + def min_residual(self) -> int: ... + @property + def elig(self) -> Eligibility | None: ... + + +class SpfResult: + """The result of ``spf`` (APPROACH 6). + + ``costs``: full searches only, a read-only int64 array with one entry per node and + ``UNREACHABLE`` for the nodes the search did not reach (``None`` with targets). + ``dag``: the unique DAG of the member graph's edges that are tight in the traversal + direction, returned in their original orientation ``u -> v`` (``d`` the search's distance: + ``d(u) + cost = d(v)`` for a forward search, ``d(v) + cost = d(u)`` for a reverse one); + with targets, pruned to the walks between the roots and a nearest target (forward: from a + root to the target; reverse: from the target to a root), or the canonical single path for + ``multipath = False``. ``target_cost``: with targets, the nearest targets' cost, ``None`` + when no target is reached (and ``None`` for a full search). + """ + + @property + def costs(self) -> "np.ndarray | None": ... + @property + def dag(self) -> PredDAG: ... + @property + def target_cost(self) -> int | None: ... + + +def spf(graph: Graph, roots: "int | Sequence[int]", opts: SpfOptions) -> SpfResult: + """Shortest paths from the roots (every root at distance 0), forward or reverse (APPROACH 6). + + The member graph is every statically eligible edge of at least 1 unit (and, with a + residual, at least ``min_residual`` residual units); ``multi_edge = False`` keeps one + member per ``(u, v)`` pair (minimum cost, then the higher priority under + PREFER_HIGHER_PRIORITY, then the lowest EdgeId). Without targets every reachable node is + settled (``costs`` and the full DAG). With targets the search stops at the nearest + targets' cost (``target_cost``) and the DAG keeps only the walks between the roots and a + nearest target (for a reverse search, from the target to a root); with ``multipath = False`` it is the canonical single path, the walk minimising + ``(cost, -bottleneck under PREFER_HIGHER_PRIORITY, hops, edge-id sequence)`` (the same + walk from both directions with the roles swapped). Validated in this order before any + work (ValueError): the roots (non-empty, ids in range), the targets (the same), a vertex + in both sets, ``multipath = False`` without targets, the residual (its length, then every + entry in ``[0, capacity_units]``), ``min_residual >= 1``, a foreign Eligibility. A root or + target excluded by the Eligibility is skipped; all roots excluded gives an empty result. + """ + ... + + +class KspOptions: + """The options of ``ksp`` (APPROACH 6, rule 10). + + ``k`` (an integer ``>= 1``) and ``selection`` are explicit; the selection's ``multi_edge`` + is the member rule (Expand keeps every eligible parallel member, Collapse one per + ``(u, v)`` pair by ``select_adjacency``) and ``multipath`` is ignored. ``max_path_cost``: + ``None``, ``Absolute(c)`` (``c >= 0``) or ``Stretch(f)`` (``f`` finite in ``[1, inf)``, the + exact dyadic rational it is, times the static shortest cost of the member graph under the + Eligibility, residual ignored); the ceiling is inclusive. ``residual`` (int64 units per + EdgeId, each in ``[0, capacity_units]``) gates at 1 unit and supplies the priority values. + Every field is validated by ``ksp``, in the contract's order. + """ + + def __init__( + self, + k: int, + selection: PathSelection, + *, + max_path_cost: "Absolute | Stretch | None" = None, + residual: "Sequence[int] | np.ndarray | None" = None, + elig: Eligibility | None = None, + ) -> None: ... + @property + def k(self) -> int: ... + @property + def selection(self) -> PathSelection: ... + @property + def max_path_cost(self) -> "Absolute | Stretch | None": ... + @property + def residual(self) -> "Sequence[int] | np.ndarray | None": ... + @property + def elig(self) -> Eligibility | None: ... + + +def ksp(graph: Graph, src: int, dst: int, opts: KspOptions) -> "list[tuple[int, Path]]": + """The K shortest simple ``src -> dst`` paths of the member graph (APPROACH 6, rule 10). + + In increasing ``(cost, -bottleneck under PREFER_HIGHER_PRIORITY, hops, edge-id sequence)``, + the bottleneck being the minimum priority value along a path: the minimal prefix of that + order, truncated at ``k`` and at the inclusive ceiling. Each Path has single-member hops. + Built by Yen deviations whose first path and spur paths are the canonical single path of + ``spf`` (the spur's bottleneck target capped by the root prefix's bottleneck), so ``k = 1`` + gives the single path of a forward or reverse ``spf``. Validated in this order before any + work (ValueError): ``src`` and ``dst`` in range, ``src == dst``, ``k >= 1``, the ceiling, the + residual (its length, then every entry), a foreign Eligibility. An excluded endpoint, no + static route under ``Stretch``, or no path gives ``[]``. + """ + ... + + +def resolve_to_paths( + graph: Graph, + dag: PredDAG, + src: int, + dst: int, + split_parallel_edges: bool = False, + max_paths: int | None = None, +) -> "list[Path]": + """The ``src -> dst`` walks of a DAG (APPROACH 5) in increasing ``(cost, hops, edge-id + sequence)``: a hop costs its cheapest member and is keyed by its lowest member id. + + ``split_parallel_edges = False`` keeps every parallel member of a ``(u, v)`` pair in one + hop (members ascending); ``True`` gives one path per member combination, in the same + order. ``max_paths`` (``>= 1``) truncates the sorted list; ``None`` lists every walk. + ValueError: a DAG of another graph, ``src`` or ``dst`` out of range, ``src == dst``, + ``max_paths < 1``. An endpoint outside the DAG, or no walk, gives ``[]``. """ ... diff --git a/src/dag_cache.cpp b/src/dag_cache.cpp index aa62cc6..e409516 100644 --- a/src/dag_cache.cpp +++ b/src/dag_cache.cpp @@ -1,17 +1,20 @@ /* - The DagCache of APPROACH 10 in building mode: a map from (roots, direction, Eligibility uid) - to the full static support of that search, with atomic statistics. + The DagCache of APPROACH 10: a map from (roots, direction, Eligibility uid) to the full static + support of that search, with atomic statistics; building mode (a miss searches and inserts) and + frozen mode (read-only: concurrent hits read the map and bump atomic counters, a miss throws). */ #include "netgraph/core/dag_cache.hpp" +#include #include #include #include +#include "netgraph/core/detail/cache_access.hpp" #include "netgraph/core/detail/endpoints.hpp" #include "netgraph/core/detail/enum_domain.hpp" #include "netgraph/core/detail/pred_dag_builder.hpp" -#include "netgraph/core/detail/search.hpp" +#include "netgraph/core/detail/traversal.hpp" namespace netgraph::core { @@ -28,25 +31,66 @@ struct LiveDeleter { } // namespace +// The key function of DagCacheMiss (dag_cache.hpp): its vtable and type_info live here only. +const char* DagCacheMiss::what() const noexcept { return what_->c_str(); } + DagCache::DagCache(const Graph& graph) : graph_uid_(graph.uid()) {} std::shared_ptr DagCache::lookup(const Graph& g, std::span roots, Direction direction, const Eligibility* elig) { + return lookup_in_call(g, roots, direction, elig, nullptr); +} + +std::shared_ptr DagCache::lookup_in_call(const Graph& g, std::span roots, + Direction direction, const Eligibility* elig, + detail::FrozenTally* tally) { + // Inside a public call a frozen cache's statistics wait for the call's boundary (NOTES R27). + const bool staged = frozen_ && tally != nullptr && tally->cache() == this; // Invalid queries throw before anything is counted. if (g.uid() != graph_uid_) throw std::invalid_argument("DagCache: the graph is not the cache's graph (foreign graph)"); if (elig != nullptr && elig->graph_uid() != g.uid()) { throw std::invalid_argument("foreign Eligibility: built for another graph"); } - auto key_roots = detail::node_set(roots, g.num_nodes(), "roots"); + // The roots as a sorted set: borrowed when the caller's span already is one (a hit then copies + // nothing), else normalised (node_set's checks either way, in its order). + std::vector normalised; + std::span key_roots = roots; + if (roots.empty() || !std::is_sorted(roots.begin(), roots.end()) || + std::adjacent_find(roots.begin(), roots.end()) != roots.end()) { + normalised = detail::node_set(roots, g.num_nodes(), "roots"); + key_roots = normalised; + } else { + detail::check_range(roots, g.num_nodes(), "roots"); + } detail::check_member(direction, "direction"); - Key key {std::move(key_roots), direction, elig != nullptr ? elig->uid() : 0}; - const auto it = entries_.find(key); + const std::uint64_t elig_uid = elig != nullptr ? elig->uid() : 0; + const auto it = entries_.find(KeyView {key_roots, direction, elig_uid}); if (it != entries_.end()) { - hits_.fetch_add(1, std::memory_order_relaxed); + if (staged) { + tally->hit(); + } else { + hits_.fetch_add(1, std::memory_order_relaxed); + } return it->second; } + if (frozen_) { + // A frozen miss counts one miss (the lookup found no entry; inside a call, the boundary + // counts it) and inserts nothing; the exception is built first, so a failed allocation there + // counts nothing. + std::string roots_text; + for (NodeId r : key_roots) roots_text += (roots_text.empty() ? "" : ", ") + std::to_string(r); + const DagCacheMiss miss("DagCache: the frozen cache has no entry for roots {" + roots_text + "}, direction " + + (direction == Direction::Forward ? "Forward" : "Reverse") + ", Eligibility uid " + + std::to_string(elig_uid) + " (a frozen cache never searches)"); + if (!staged) misses_.fetch_add(1, std::memory_order_relaxed); + throw miss; + } + // The entry's owned key first (the borrowed roots copied): a failed copy counts nothing, like a + // failed normalisation. Then a failed search (or a failed insertion) inserts nothing and the miss + // stays counted. + Key key {normalised.empty() ? std::vector(key_roots.begin(), key_roots.end()) : std::move(normalised), + direction, elig_uid}; misses_.fetch_add(1, std::memory_order_relaxed); - // A failed search (or a failed insertion) inserts nothing; the miss stays counted. auto value = std::make_unique(detail::static_support(g, std::get<0>(key), direction, elig)); const auto bytes = static_cast(detail::PredDAGBuilder::payload_bytes(*value)); live_->fetch_add(1, std::memory_order_relaxed); // the deleter runs even if the control block fails @@ -57,7 +101,15 @@ std::shared_ptr DagCache::lookup(const Graph& g, std::span #include +#include "netgraph/core/detail/cache_access.hpp" #include "netgraph/core/detail/endpoints.hpp" #include "netgraph/core/detail/evaluator_checks.hpp" #include "netgraph/core/detail/flow_core.hpp" @@ -36,11 +37,12 @@ std::shared_ptr borrowed(const Graph& g) { return std::shared_ptr(std::shared_ptr {}, &g); } +// One evaluation inside a public call: a supplied frozen cache's hit goes to the call's tally. PlacementResult evaluate(const Graph& g, std::span sources, std::span destinations, const FlowPolicyConfig& cfg, const Eligibility* elig, - DagCache* cache, const OutputOptions& outputs) { + DagCache* cache, const OutputOptions& outputs, detail::FrozenTally& tally) { FlowLedger fg(borrowed(g)); - FlowPolicy policy(fg, sources, destinations, cfg, elig, cache); + FlowPolicy policy = detail::PolicyAccess::make(fg, sources, destinations, cfg, elig, cache, tally); return policy.place(std::nullopt, outputs); } @@ -52,10 +54,10 @@ void check_common(const Graph& g, const Eligibility* elig, const DagCache* cache if (cache != nullptr && cache->graph_uid() != g.uid()) { throw std::invalid_argument("foreign DagCache: bound to another graph"); } - if (cache != nullptr && workers != 1) { + if (cache != nullptr && workers != 1 && !detail::DagCacheAccess::frozen(*cache)) { throw std::invalid_argument( "a supplied building DagCache has one writer: it is rejected unless workers == 1 (got workers = " + - std::to_string(workers) + ")"); + std::to_string(workers) + "; a frozen cache may be shared by every worker)"); } } @@ -65,8 +67,8 @@ std::size_t worker_threads(std::size_t n, std::int32_t workers) { } // Runs task(i, cache, t) for i in [0, n) on worker_threads(n, workers) threads (t the worker's -// index), each with its own private building cache unless `shared` is given (workers == 1 -// then). Indices are taken in increasing +// index), each with its own private building cache unless `shared` is given (a supplied cache: +// building with workers == 1, or frozen and shared by every worker). Indices are taken in increasing // order and a taken index always runs, so after an exception every lower index has run: the // lowest failing index is the one a sequential run would report, and its exception is rethrown. // Everything a worker needs (the result slots, the private caches) is allocated here, before @@ -173,32 +175,22 @@ void check_batch_pair(const Graph& g, std::span sources, } } -std::int32_t default_workers(bool sensitivity) noexcept { - const char* v = sensitivity ? std::getenv("NGRAPH_CORE_SENSITIVITY_THREADS") : std::getenv("NGRAPH_CORE_BATCH_THREADS"); - if (v == nullptr) return 1; - char* end = nullptr; - const long n = std::strtol(v, &end, 10); - if (end == v || *end != '\0' || n < 1 || n > 4096) return 1; - return static_cast(n); +PlacementResult capacity_in_call(const Graph& g, std::span sources, + std::span destinations, const CapacityOptions& opts, FrozenTally& tally) { + return evaluate(g, sources, destinations, opts.cfg, opts.elig, opts.cache, opts.outputs, tally); } -} // namespace detail - -PlacementResult capacity(const Graph& g, std::span sources, - std::span destinations, const CapacityOptions& opts) { - return evaluate(g, sources, destinations, opts.cfg, opts.elig, opts.cache, opts.outputs); -} - -std::vector batch_capacity( +std::vector batch_capacity_in_call( const Graph& g, const std::vector, std::vector>>& pairs, - const CapacityOptions& opts, std::span per_pair_elig, std::int32_t workers) { - detail::check_batch_arguments(g, opts, workers); + const CapacityOptions& opts, std::span per_pair_elig, std::int32_t workers, + FrozenTally& tally) { + check_batch_arguments(g, opts, workers); if (!per_pair_elig.empty() && per_pair_elig.size() != pairs.size()) { throw std::invalid_argument("per_pair_elig has " + std::to_string(per_pair_elig.size()) + " entries for " + std::to_string(pairs.size()) + " pairs"); } for (std::size_t i = 0; i < pairs.size(); ++i) { - detail::check_batch_pair(g, pairs[i].first, pairs[i].second, per_pair_elig.empty() ? nullptr : per_pair_elig[i], i); + check_batch_pair(g, pairs[i].first, pairs[i].second, per_pair_elig.empty() ? nullptr : per_pair_elig[i], i); } std::vector> results(pairs.size()); run_indexed(pairs.size(), workers, g, opts.cache, [&](std::size_t i, DagCache& cache, std::size_t /*t*/) { @@ -213,7 +205,7 @@ std::vector batch_capacity( elig = &*both; } } - results[i] = evaluate(g, pairs[i].first, pairs[i].second, opts.cfg, elig, &cache, opts.outputs); + results[i] = evaluate(g, pairs[i].first, pairs[i].second, opts.cfg, elig, &cache, opts.outputs, tally); }); std::vector out; out.reserve(results.size()); @@ -221,9 +213,9 @@ std::vector batch_capacity( return out; } -SensitivityResult sensitivity(const Graph& g, std::span sources, - std::span destinations, const SensitivityOptions& opts, - std::int32_t workers) { +SensitivityResult sensitivity_in_call(const Graph& g, std::span sources, + std::span destinations, const SensitivityOptions& opts, + std::int32_t workers, FrozenTally& tally) { check_common(g, opts.elig, opts.cache, workers); const bool global = std::holds_alternative(opts.cfg.routing); const bool cost_only = std::holds_alternative(opts.cfg.routing); @@ -238,8 +230,8 @@ SensitivityResult sensitivity(const Graph& g, std::span sources, cache = own.get(); } FlowLedger fg(borrowed(g)); - FlowPolicy policy(fg, sources, destinations, opts.cfg, opts.elig, cache); - auto& pe = detail::PolicyAccess::engine(policy); + FlowPolicy policy = PolicyAccess::make(fg, sources, destinations, opts.cfg, opts.elig, cache, tally); + auto& pe = PolicyAccess::engine(policy); if (global) pe.capture = &capture; out.baseline = policy.place(std::nullopt, opts.outputs); pe.capture = nullptr; @@ -298,7 +290,7 @@ SensitivityResult sensitivity(const Graph& g, std::span sources, const EdgeId one[1] = {e}; Eligibility deleted = g.eligibility({}, one); if (opts.elig != nullptr) deleted = Eligibility::intersect(*opts.elig, deleted); - const auto r = evaluate(g, sources, destinations, opts.cfg, &deleted, &cache, OutputOptions {}); + const auto r = evaluate(g, sources, destinations, opts.cfg, &deleted, &cache, OutputOptions {}, tally); entry.loss = base - r.placed; } entry.status = SensitivityStatus::Evaluated; @@ -312,4 +304,39 @@ SensitivityResult sensitivity(const Graph& g, std::span sources, return out; } +std::int32_t default_workers(bool sensitivity) noexcept { + const char* v = sensitivity ? std::getenv("NGRAPH_CORE_SENSITIVITY_THREADS") : std::getenv("NGRAPH_CORE_BATCH_THREADS"); + if (v == nullptr) return 1; + char* end = nullptr; + const long n = std::strtol(v, &end, 10); + if (end == v || *end != '\0' || n < 1 || n > 4096) return 1; + return static_cast(n); +} + +} // namespace detail + +// Each evaluator is one public call on a supplied frozen cache's statistics (NOTES R27). +PlacementResult capacity(const Graph& g, std::span sources, + std::span destinations, const CapacityOptions& opts) { + return detail::frozen_call(opts.cache, [&](detail::FrozenTally& tally) { + return detail::capacity_in_call(g, sources, destinations, opts, tally); + }); +} + +std::vector batch_capacity( + const Graph& g, const std::vector, std::vector>>& pairs, + const CapacityOptions& opts, std::span per_pair_elig, std::int32_t workers) { + return detail::frozen_call(opts.cache, [&](detail::FrozenTally& tally) { + return detail::batch_capacity_in_call(g, pairs, opts, per_pair_elig, workers, tally); + }); +} + +SensitivityResult sensitivity(const Graph& g, std::span sources, + std::span destinations, const SensitivityOptions& opts, + std::int32_t workers) { + return detail::frozen_call(opts.cache, [&](detail::FrozenTally& tally) { + return detail::sensitivity_in_call(g, sources, destinations, opts, workers, tally); + }); +} + } // namespace netgraph::core diff --git a/src/flow_ledger.cpp b/src/flow_ledger.cpp index 754e0d2..99d4f62 100644 --- a/src/flow_ledger.cpp +++ b/src/flow_ledger.cpp @@ -328,6 +328,46 @@ std::vector LedgerAccess::commit(FlowLedger& fg, std::int64_t owner, std // The drafts carry exactly the owner's live records plus new ones. const auto owned = fg.owner_ids_.find(owner); const std::size_t num_current = owned == fg.owner_ids_.end() ? 0 : owned->second.size(); + if (owned == fg.owner_ids_.end() && drafts.size() == 1 && !drafts[0].id.has_value() && + std::adjacent_find(drafts[0].record.edges.begin(), drafts[0].record.edges.end(), + [](const auto& a, const auto& b) { return a.first >= b.first; }) == + drafts[0].record.edges.end()) { + // One new record for an owner without live records (a fresh placement), its edges strictly + // ascending: each touched edge's delta is the draft's own amount, touched in the draft's order, + // so the checks below run on the draft itself, in the general path's order and with its + // messages (negative amounts first, then feasibility edge by edge); the staging and the + // publication are the general path's for one new record. + Draft& d = drafts[0]; + for (const auto& [e, x] : d.record.edges) { + if (x < 0) throw std::logic_error("ledger: a negative allocation in a commit"); + } + for (const auto& [e, x] : d.record.edges) { + const auto ei = static_cast(e); + const Amount next = fg.allocated_[ei] + x; + if (next < 0 || next > fg.baseline_[ei]) { + throw std::logic_error("ledger: infeasible commit on edge " + std::to_string(e) + " (" + + std::to_string(next) + " of " + std::to_string(fg.baseline_[ei]) + ")"); + } + } + std::vector created; + created.reserve(1); + std::vector live; + live.reserve(1); + const std::int64_t id = fg.next_id_; + std::map fresh; + const auto node = fresh.emplace_hint(fresh.end(), id, record_of(fg.uid_, id, owner, d)); + created.emplace_back(fg.uid_, id); + live.push_back(id); + std::map> index_node; + index_node.emplace(owner, std::move(live)); + // Publication: nothing below allocates or throws (the record's dropped zero entries add + // nothing). + for (const auto& [e, x] : node->second.edges) fg.allocated_[static_cast(e)] += x; + fg.records_.merge(fresh); + fg.owner_ids_.merge(index_node); + fg.next_id_ = id + 1; + return created; + } std::vector kept; std::size_t num_new = 0; for (const auto& d : drafts) { diff --git a/src/flow_policy.cpp b/src/flow_policy.cpp index 7c6a247..e238b28 100644 --- a/src/flow_policy.cpp +++ b/src/flow_policy.cpp @@ -30,6 +30,7 @@ #include #include +#include "netgraph/core/detail/cache_access.hpp" #include "netgraph/core/detail/endpoints.hpp" #include "netgraph/core/detail/enum_domain.hpp" #include "netgraph/core/detail/flow_core.hpp" @@ -40,8 +41,8 @@ #include "netgraph/core/detail/policy_engine.hpp" #include "netgraph/core/detail/pred_dag_builder.hpp" #include "netgraph/core/detail/private_hooks.hpp" -#include "netgraph/core/detail/search.hpp" #include "netgraph/core/detail/trace.hpp" +#include "netgraph/core/detail/traversal.hpp" namespace netgraph::core { @@ -174,20 +175,6 @@ int rank(Termination t) noexcept { Trace amount_or_inf(std::optional v) { return v.has_value() ? Trace::integer(*v) : Trace::str("inf"); } -// cost <= f * base, exactly: f is the dyadic rational it is (f >= 1, finite), base >= 1. -// f = m * 2^x with m odd below 2^53; products stay within 128 bits (APPROACH 6). -bool stretch_le(Cost cost, Cost base, double f) { - const auto [m, x] = dyadic(f); - const U128 rhs = mul_u64(static_cast(base), m); // below 2^115 - if (x >= 0) { - if (bits(rhs) + x > 64) return true; // rhs * 2^x >= 2^64 > cost - return !(shl(rhs, x) < U128 {0, static_cast(cost)}); - } - // f >= 1 with m < 2^53: -x < 53, so cost * 2^-x < 2^116. - const U128 lhs = shl(U128 {0, static_cast(cost)}, -x); - return !(rhs < lhs); -} - // The member-aligned amounts of a record's (EdgeId, amount) pairs (both ascending). template void align(std::span members, const std::vector>& pairs, std::vector& out) { @@ -203,20 +190,17 @@ void align(std::span members, const std::vector cumulative_offers(const Counter128& requested, Amount v, std::size_t k) { +// cumulative request goes from R to R + v over k sources (APPROACH 9.3), offer(i, increment) for +// i in [0, k). It depends only on r = R mod k: floor((r + v) / k) + [i < (r + v) mod k] - [i < r]. +template +void cumulative_offers(const Counter128& requested, Amount v, std::size_t k, Offer&& offer) { const auto kk = static_cast(k); const std::uint64_t two64 = ((std::numeric_limits::max() % kk) + 1) % kk; const std::uint64_t r = ((requested.hi % kk) * two64 % kk + requested.lo % kk) % kk; const auto total = static_cast(v) + r; const auto base = static_cast(total / kk); const std::uint64_t extra = total % kk; - std::vector out(k); - for (std::size_t i = 0; i < k; ++i) { - out[i] = base + (i < extra ? 1 : 0) - (i < r ? 1 : 0); - } - return out; + for (std::size_t i = 0; i < k; ++i) offer(i, base + (i < extra ? 1 : 0) - (i < r ? 1 : 0)); } // ================================================================ working flows @@ -298,87 +282,51 @@ std::shared_ptr bundle_of(const Graph& g, std::span return std::make_shared(PredDAGBuilder::of_edges(g, route)); } -// CostOnly: the static support restricted to the walks from src (a forward reachability over the -// support's edges: B' ids rank edges by source, so a node's support out-edges are one range of -// the ascending edge list), then the selection projected on the creation view W (APPROACH 9.1, -// 10): Collapse by (cost, priority under PreferHigherPriority, lowest EdgeId), and the staged -// canonical single path for multipath = false. +// CostOnly: the static support restricted to the walks from src, then the selection projected on +// the creation view W (APPROACH 9.1, 10): Collapse by (cost, priority under PreferHigherPriority, +// lowest EdgeId), and the staged canonical single path for multipath = false, both reading W's +// priority values and never gating on them (the traversal core's support projection). Route cost_only_route(const Call& c, NodeId src) { const auto& g = c.g; const auto& pe = c.pe; const auto& sel = pe.config.selection; - const auto support = PredDAGBuilder::ascending(*pe.support); - const auto row = g.row_offsets(); - const auto edge_dst = g.edge_dst(); - const auto edge_src = g.edge_src(); - std::vector route; - { - // Visited nodes in the per-thread node map (released before any routine that uses it). - NodeMap& map = NodeMap::local(); - map.reset(static_cast(g.num_nodes())); - std::vector stack {src}; - (void)map.add(src); - while (!stack.empty()) { - const NodeId u = stack.back(); - stack.pop_back(); - auto it = std::lower_bound(support.begin(), support.end(), row[static_cast(u)]); - for (; it != support.end() && *it < row[static_cast(u) + 1]; ++it) { - route.push_back(*it); - const NodeId v = edge_dst[static_cast(*it)]; - if (map.of(v) < 0) { - (void)map.add(v); - stack.push_back(v); - } - } - } - std::sort(route.begin(), route.end()); - } + const auto capacity = g.capacity_units(); + struct View { + const Working* W; + std::span capacity; + EdgePriority priority; + }; + const View view {&c.W, capacity, sel.priority}; + const PriorityFn on_w {&view, [](const void* ctx, EdgeId e) noexcept { + const auto& v = *static_cast(ctx); + return priority_value(v.priority, v.W->at(e), v.capacity[static_cast(e)]); + }}; + auto r = support_route(g, PredDAGBuilder::ascending(*pe.support), src, pe.dests_ok, sel, on_w); Route out; - if (!sel.multi_edge) { - // One member per (u, v) by select_adjacency on the creation view W (the support has no - // residual gating, so the projection reads W's priority values, never gates on them): the - // members of a pair are consecutive in id order (B' ranks by (src, cost, dst, input)). - const bool prefer = sel.tie_break == EdgeTieBreak::PreferHigherPriority; - const auto capacity = g.capacity_units(); - auto value = [&](EdgeId e) { return priority_value(sel.priority, c.W.at(e), capacity[static_cast(e)]); }; - std::vector kept; - for (std::size_t i = 0; i < route.size();) { - const auto ui = static_cast(route[i]); - EdgeId best = route[i]; - std::size_t j = i + 1; - for (; j < route.size() && edge_src[static_cast(route[j])] == edge_src[ui] && - edge_dst[static_cast(route[j])] == edge_dst[ui]; - ++j) { - if (replaces(g, route[j], best, prefer, value)) best = route[j]; - } - kept.push_back(best); - i = j; - } - route = std::move(kept); - } - if (sel.multipath) { - out.edges = std::move(route); - return out; - } - // The staged canonical single path over the (collapsed) support of the source. - std::vector member(static_cast(g.num_edges()), 0); - for (EdgeId e : route) member[static_cast(e)] = 1; - std::vector wd; - std::optional prio; - if (sel.tie_break == EdgeTieBreak::PreferHigherPriority) { - c.W.dense(wd); - prio = PriorityValues {&g, sel.priority, wd}; - } - const NodeId s[1] = {src}; - auto path = canonical_path(g, member, s, pe.dests_ok, prio ? &*prio : nullptr); - if (path.has_value()) { - out.edges = path->walk; - std::sort(out.edges.begin(), out.edges.end()); - out.cost = path->cost; - } + out.edges = std::move(r.edges); + if (!sel.multipath && !out.edges.empty()) out.cost = r.cost; return out; } +// CostOnly's creation products in one pass (kernels' cost_only_creation, identical to +// cost_only_route, bundle_of and plan_on where it applies); nullopt elsewhere. +std::optional creation_products(const Call& c, NodeId src) { + const auto& pe = c.pe; + const auto& sel = pe.config.selection; + struct View { + const Working* W; + std::span capacity; + EdgePriority priority; + }; + const View view {&c.W, c.g.capacity_units(), sel.priority}; + const PriorityFn on_w {&view, [](const void* ctx, EdgeId e) noexcept { + const auto& v = *static_cast(ctx); + return priority_value(v.priority, v.W->at(e), v.capacity[static_cast(e)]); + }}; + return cost_only_creation(c.g, pe.support, src, pe.dests_ok, sel, on_w, pe.config.placement, + pe.config.admission); +} + // CapacityAware: the canonical route of section 6 on the selection view `view` (dense): static // eligibility, residual >= max(1, min_flow_bandwidth), Collapse on the view, the tight DAG or the // staged single path toward the allowed destinations, then the max_path_cost ceiling. @@ -387,24 +335,12 @@ std::optional search(const Call& c, std::size_t ri, std::span(pe.config.routing); const auto& sel = pe.config.selection; - const Amount threshold = std::max(1, ca.min_flow_bandwidth); - const auto member = member_mask(g, pe.elig, sel, view, threshold); - const NodeId s[1] = {pe.roster[ri]}; + const Gate gate {pe.elig, view, std::max(1, ca.min_flow_bandwidth)}; + auto found = route_search(g, gate, sel, pe.roster[ri], pe.dests_ok); + if (!found.has_value()) return std::nullopt; Route out; - if (sel.multipath) { - auto tight = tight_dag(g, member, s, pe.dests_ok); - if (tight.cost == kUnreachable) return std::nullopt; - out.edges = std::move(tight.edges); - out.cost = tight.cost; - } else { - const PriorityValues prio {&g, sel.priority, view}; - const bool prefer = sel.tie_break == EdgeTieBreak::PreferHigherPriority; - auto path = canonical_path(g, member, s, pe.dests_ok, prefer ? &prio : nullptr); - if (!path.has_value()) return std::nullopt; - out.edges = std::move(path->walk); - std::sort(out.edges.begin(), out.edges.end()); - out.cost = path->cost; - } + out.edges = std::move(found->edges); + out.cost = found->cost; if (ca.max_path_cost.has_value()) { if (const auto* a = std::get_if(&*ca.max_path_cost)) { if (out.cost > a->cost) return std::nullopt; @@ -615,9 +551,17 @@ void stage1(Call& c, SourceRun& st) { auto& pe = c.pe; Trace tr = Trace::map(); if (is(pe)) { - const Route route = cost_only_route(c, st.src); - if (kTraced && c.trace) tr.set("route", route_trace(route.edges)); - WorkFlow f = new_flow(c, st.src, bundle_of(c.g, route.edges, pe.support), route.cost, nullptr); + WorkFlow f; + if (auto made = creation_products(c, st.src)) { + // The route, its bundle and its plan in one pass (multipath, static membership). + if (kTraced && c.trace) tr.set("route", route_trace(made->plan.route)); + f = new_flow(c, st.src, std::move(made->bundle), made->cost, nullptr, + std::make_shared(std::move(made->plan))); + } else { + const Route route = cost_only_route(c, st.src); + if (kTraced && c.trace) tr.set("route", route_trace(route.edges)); + f = new_flow(c, st.src, bundle_of(c.g, route.edges, pe.support), route.cost, nullptr); + } f.seq = ++c.seq; st.flows.push_back(std::move(f)); } else if (is(pe)) { @@ -1119,17 +1063,18 @@ Draft draft_of(const PolicyEngine& pe, const WorkFlow& f) { r.bundle = f.bundle; r.route_cost = f.cost; const auto members = f.members(); - r.edges.reserve(static_cast(std::count_if(f.alloc.begin(), f.alloc.end(), [](Amount x) { return x != 0; }))); - for (std::size_t m = 0; m < members.size(); ++m) { - if (f.alloc[m] != 0) r.edges.emplace_back(members[m], f.alloc[m]); + // Exactly sized, written by index (the nonzero members in member order). + r.edges.resize(static_cast(std::count_if(f.alloc.begin(), f.alloc.end(), [](Amount x) { return x != 0; }))); + for (std::size_t m = 0, k = 0; m < members.size(); ++m) { + if (f.alloc[m] != 0) r.edges[k++] = {members[m], f.alloc[m]}; } if (pe.config.admission == Admission::Lossy) { r.offered = f.offered; r.delivered = f.delivered; - r.drops.reserve(static_cast( + r.drops.resize(static_cast( std::count_if(f.drops.begin(), f.drops.end(), [](const Counter128& x) { return !x.is_zero(); }))); - for (std::size_t m = 0; m < members.size(); ++m) { - if (!f.drops[m].is_zero()) r.drops.emplace_back(members[m], f.drops[m]); + for (std::size_t m = 0, k = 0; m < members.size(); ++m) { + if (!f.drops[m].is_zero()) r.drops[k++] = {members[m], f.drops[m]}; } } else { r.delivered = f.T; @@ -1177,8 +1122,7 @@ PlacementResult place_flows(PolicyEngine& pe, std::optional v, const Out if (is(pe)) { runs[0].offer = v; } else if (v.has_value()) { - const auto inc = cumulative_offers(pe.requested, *v, k); - for (std::size_t i = 0; i < k; ++i) runs[i].offer = inc[i]; + cumulative_offers(pe.requested, *v, k, [&](std::size_t i, Amount x) { runs[i].offer = x; }); } Trace sources_tr = Trace::map(); for (std::size_t i = 0; i < k; ++i) { @@ -1463,14 +1407,6 @@ PlacementResult place_global(PolicyEngine& pe, std::optional v, const Ou // ---------------------------------------------------------------- construction -// The static reverse distances toward the allowed destinations over the statically eligible -// member graph (capacity >= 1 unit, no residual). -std::vector static_distances(const Graph& g, const Eligibility* elig, std::span dests) { - const PathSelection full(EdgeTieBreak::Deterministic, EdgePriority::Capacity, true, true); - const auto member = member_mask(g, elig, full, {}, 1); - return distances(g, member, dests, Direction::Reverse); -} - } // namespace void validate_config(const FlowPolicyConfig& cfg, std::size_t num_sources, std::size_t num_destinations) { @@ -1497,16 +1433,7 @@ void validate_config(const FlowPolicyConfig& cfg, std::size_t num_sources, std:: if (ca->min_flow_bandwidth < 0 || ca->min_flow_bandwidth >= kDomainLimit) { invalid("CapacityAware min_flow_bandwidth must be in [0, 2^62) units (got " + str(ca->min_flow_bandwidth) + ")"); } - if (ca->max_path_cost.has_value()) { - if (const auto* a = std::get_if(&*ca->max_path_cost)) { - if (a->cost < 0) invalid("max_path_cost Absolute cost must be >= 0 (got " + str(a->cost) + ")"); - } else { - const double f = std::get(*ca->max_path_cost).factor; - if (!(f >= 1.0) || !std::isfinite(f)) { - invalid("max_path_cost Stretch factor must be finite and in [1, inf) (got " + std::to_string(f) + ")"); - } - } - } + check_ceiling(ca->max_path_cost); if (ca->diminishing.has_value()) { const auto& d = *ca->diminishing; if (d.window < 1) invalid("diminishing window must be >= 1 (got " + str(d.window) + ")"); @@ -1538,8 +1465,14 @@ FlowPolicyConfig::FlowPolicyConfig(Routing routing_, FlowPlacement placement_, A using detail::LedgerAccess; using detail::PolicyEngine; -FlowPolicy::FlowPolicy(FlowLedger& ledger, std::span sources, std::span destinations, - FlowPolicyConfig config, const Eligibility* elig, DagCache* cache) { +namespace { + +// The engine of a new policy, bound to its ledger as the last step. A supplied frozen cache's hit +// is recorded in `tally` (NOTES R27): the public constructor publishes it once construction has +// succeeded, an evaluator once its whole call has. +std::unique_ptr make_engine(FlowLedger& ledger, std::span sources, + std::span destinations, FlowPolicyConfig config, + const Eligibility* elig, DagCache* cache, detail::FrozenTally& tally) { auto pe = std::make_unique(ledger, std::move(config)); pe->graph = ledger.graph(); const auto& g = *pe->graph; @@ -1590,7 +1523,7 @@ FlowPolicy::FlowPolicy(FlowLedger& ledger, std::span sources, std: if (!pe->usable.empty()) pe->roster.push_back(src); } else if (detail::is(*pe)) { pe->support = cache != nullptr - ? cache->lookup(g, pe->destinations, Direction::Reverse, elig) + ? detail::DagCacheAccess::lookup(*cache, g, pe->destinations, Direction::Reverse, elig, tally) : std::make_shared(detail::static_support(g, pe->destinations, Direction::Reverse, elig)); const auto edges = detail::PredDAGBuilder::ascending(*pe->support); const auto row = g.row_offsets(); @@ -1600,18 +1533,32 @@ FlowPolicy::FlowPolicy(FlowLedger& ledger, std::span sources, std: if (it != edges.end() && *it < row[static_cast(s) + 1]) pe->roster.push_back(s); } } else { - const auto dist = detail::static_distances(g, elig, pe->dests_ok); - for (NodeId s : pe->sources) { - if (!node_ok(s) || dist[static_cast(s)] == kUnreachable) continue; + const auto dist = detail::static_costs(g, elig, pe->dests_ok, pe->sources); + for (std::size_t i = 0; i < pe->sources.size(); ++i) { + const NodeId s = pe->sources[i]; + if (!node_ok(s) || dist[i] == kUnreachable) continue; pe->roster.push_back(s); - pe->baseline.push_back(dist[static_cast(s)]); + pe->baseline.push_back(dist[i]); } } pe->cohorts.resize(pe->roster.size()); pe->owner = LedgerAccess::bind(ledger); // last: nothing is bound when construction fails - engine_ = std::move(pe); + return pe; } +} // namespace + +// A public call of its own: a supplied frozen cache counts the hit once the policy exists. +FlowPolicy::FlowPolicy(FlowLedger& ledger, std::span sources, std::span destinations, + FlowPolicyConfig config, const Eligibility* elig, DagCache* cache) + : engine_(detail::frozen_call(cache, [&](detail::FrozenTally& tally) { + return make_engine(ledger, sources, destinations, std::move(config), elig, cache, tally); + })) {} + +FlowPolicy::FlowPolicy(FlowLedger& ledger, std::span sources, std::span destinations, + FlowPolicyConfig config, const Eligibility* elig, DagCache* cache, detail::FrozenTally& tally) + : engine_(make_engine(ledger, sources, destinations, std::move(config), elig, cache, tally)) {} + // The destruction law (section 8): the records stay in the ledger as orphans. FlowPolicy::~FlowPolicy() { LedgerAccess::release(engine_->fg, engine_->owner); } diff --git a/src/kernels.cpp b/src/kernels.cpp index 3043847..899bc83 100644 --- a/src/kernels.cpp +++ b/src/kernels.cpp @@ -11,6 +11,7 @@ #include #include #include +#include #include #include #include @@ -94,6 +95,81 @@ void check_kernel(FlowPlacement placement, Admission admission, EdgePriority pri } } +KernelPlan::Layout KernelPlan::point(std::size_t num_dsts, std::size_t positions, std::size_t num_members) noexcept { + std::int32_t* at = store_.data(); + dsts = std::span(at, num_dsts); + at += num_dsts; + Layout w; + w.topo = std::span(at, positions); + at += positions; + w.out_begin = std::span(at, positions); + at += positions; + w.out_end = std::span(at, positions); + at += positions; + w.head_pos = std::span(at, num_members); + at += num_members; + w.terminal = std::span(reinterpret_cast(at), positions); + topo = w.topo; + out_begin = w.out_begin; + out_end = w.out_end; + head_pos = w.head_pos; + terminal = w.terminal; + return w; +} + +KernelPlan::Layout KernelPlan::layout(std::span destinations, std::size_t positions, + std::size_t num_members) { + const std::size_t words = destinations.size() + 3 * positions + num_members + (positions + 3) / 4; + std::vector store(words, 0); // the one allocation + store_.swap(store); + const Layout w = point(destinations.size(), positions, num_members); + std::copy(destinations.begin(), destinations.end(), store_.begin()); + return w; +} + +KernelPlan::KernelPlan(const KernelPlan& other) + : placement(other.placement), admission(other.admission), src(other.src), route(other.route), + members(other.members), weights(other.weights), src_out_begin(other.src_out_begin), + src_out_end(other.src_out_end), store_(other.store_) { + (void)point(other.dsts.size(), other.topo.size(), other.head_pos.size()); +} + +KernelPlan::KernelPlan(KernelPlan&& other) noexcept + : placement(other.placement), admission(other.admission), src(other.src), route(std::move(other.route)), + members(std::move(other.members)), weights(std::move(other.weights)), src_out_begin(other.src_out_begin), + src_out_end(other.src_out_end), store_(std::move(other.store_)) { + (void)point(other.dsts.size(), other.topo.size(), other.head_pos.size()); + (void)other.point(0, 0, 0); +} + +KernelPlan& KernelPlan::operator=(const KernelPlan& other) { + if (this != &other) { + KernelPlan copy(other); + *this = std::move(copy); + } + return *this; +} + +KernelPlan& KernelPlan::operator=(KernelPlan&& other) noexcept { + if (this != &other) { + placement = other.placement; + admission = other.admission; + src = other.src; + route = std::move(other.route); + members = std::move(other.members); + weights = std::move(other.weights); + src_out_begin = other.src_out_begin; + src_out_end = other.src_out_end; + const std::size_t nd = other.dsts.size(); + const std::size_t np = other.topo.size(); + const std::size_t nm = other.head_pos.size(); + store_ = std::move(other.store_); + (void)point(nd, np, nm); + (void)other.point(0, 0, 0); + } + return *this; +} + namespace { // Per-thread per-node state of build_split, indexed by NodeId and valid for a node only @@ -242,11 +318,6 @@ void build_split(const Graph& g, const PredDAG& dag, NodeId src, std::span(num_pos); - plan.topo.resize(P); - plan.terminal.resize(P); - plan.out_begin.resize(P); - plan.out_end.resize(P); + const KernelPlan::Layout w = plan.layout(dsts, P, num_members); std::size_t pos = 0; for (NodeId v : s.order) { const auto& nv = s.at(v); if (nv.fwd == 0) continue; - plan.topo[pos] = v; - plan.terminal[pos] = nv.target; + w.topo[pos] = v; + w.terminal[pos] = nv.target; const std::int32_t b = nv.count == 0 ? 0 : nv.first; - plan.out_begin[pos] = b; - plan.out_end[pos] = b + nv.count; + w.out_begin[pos] = b; + w.out_end[pos] = b + nv.count; ++pos; } - plan.head_pos.resize(num_members); for (std::size_t m = 0; m < num_members; ++m) { - plan.head_pos[m] = s.at(s.member_head[m]).position; + w.head_pos[m] = s.at(s.member_head[m]).position; } plan.src_out_begin = plan.out_begin[0]; plan.src_out_end = plan.out_end[0]; @@ -346,7 +416,6 @@ KernelPlan make_plan(const Graph& g, FlowPlacement placement, Admission admissio plan.placement = placement; plan.admission = admission; plan.src = src; - plan.dsts.assign(dsts.begin(), dsts.end()); plan.route.assign(edges.begin(), edges.end()); // The creation view of a route edge (the route ascends: a binary search). auto creation = [&](EdgeId e) { @@ -377,7 +446,6 @@ KernelPlan make_route_plan(const Graph& g, FlowPlacement placement, Admission ad plan.placement = placement; plan.admission = admission; plan.src = src; - plan.dsts.assign(dsts.begin(), dsts.end()); auto usable = [&](EdgeId e) { return capacity[static_cast(e)] >= 1 && (elig == nullptr || elig->edge_ok(e)); }; @@ -390,6 +458,310 @@ KernelPlan make_route_plan(const Graph& g, FlowPlacement placement, Admission ad return plan; } +// ---------------------------------------------------------------- CostOnly creation + +namespace { + +// Per-thread state of cost_only_creation. Per node (by NodeId) a slot valid only under the +// current epoch (DagScratch's pattern: nothing is cleared between calls, a call that throws leaves +// stale slots behind an old epoch, and the one array of slots grows whole or not at all); every +// other buffer is indexed by the reached nodes' local indices (their rank in ascending NodeId) or +// by route position, and is rewritten before it is read. +struct CreationScratch { + struct Node { + std::uint32_t stamp {0}; + std::uint8_t reached {0}; + std::uint8_t target {0}; + std::int32_t local {0}; // rank among the reached nodes (ascending NodeId) + std::int32_t lo {0}; // the node's support out-edges: support[lo, hi) + std::int32_t hi {0}; + }; + std::uint32_t epoch {0}; + std::vector node; + std::vector reached; // the walk's nodes (its queue), then ascending + std::vector route; // ascending + std::vector tail; // per route edge: its tail's local index + std::vector head; // per route edge: its head's local index + std::vector parent; // per entry: its parent's local index + std::vector entry; // per local node + 1: its entries (by child) + std::vector fill; + std::vector via; // the entries: by child, ascending via + std::vector state; // per local node: DFS 1 open, 2 done + std::vector> dfs; // (local node, next entry) + std::vector order; // local nodes, every one after its parents + std::vector position; // per local node + std::vector first; // per local node: its first member + std::vector count; // per local node: its number of members + std::vector dist; // per local node + + void begin(std::size_t n) { + if (node.size() < n) node.resize(n); // strong guarantee; new slots carry stamp 0 + if (++epoch == 0) { + for (auto& v : node) v.stamp = 0; + epoch = 1; + } + } + Node& at(NodeId v) noexcept { return node[static_cast(v)]; } + // The slot of v, reset on its first use in this call. + Node& touch(NodeId v) noexcept { + auto& x = at(v); + if (x.stamp != epoch) { + x = Node {}; + x.stamp = epoch; + } + return x; + } +}; + +CreationScratch& creation_scratch() { + thread_local CreationScratch s; + return s; +} + +} // namespace + +std::size_t lower_bound_from(std::span a, std::size_t hint, EdgeId x) noexcept { + const std::size_t n = a.size(); + std::size_t lo = 0; + std::size_t hi = 0; + if (hint < n && a[hint] < x) { + // The answer lies in (hint, n]: a[lo - 1] < x throughout. + lo = hint + 1; + hi = lo; + for (std::size_t step = 1; hi < n && a[hi] < x; step <<= 1) { + lo = hi + 1; + hi = lo + step; + } + hi = std::min(hi, n); + } else { + // The answer lies in [0, hint] (hint == n, or a[hint] >= x): a[hi] >= x or hi == n throughout. + hi = std::min(hint, n); + for (std::size_t step = 1;; step <<= 1) { + if (hi < step) { + lo = 0; + break; + } + const std::size_t probe = hi - step; + if (a[probe] < x) { + lo = probe + 1; + break; + } + hi = probe; + } + } + return static_cast(std::lower_bound(a.begin() + static_cast(lo), + a.begin() + static_cast(hi), x) - + a.begin()); +} + +std::optional cost_only_creation(const Graph& g, const std::shared_ptr& support, + NodeId src, std::span dsts, + const PathSelection& selection, PriorityFn view, + FlowPlacement placement, Admission admission) { + const EdgePriority priority = selection.priority; + if (!selection.multipath || (placement == FlowPlacement::Weighted && priority == EdgePriority::Residual)) { + return std::nullopt; + } + check_kernel(placement, admission, priority); + const auto sup = PredDAGBuilder::ascending(*support); + const auto row = g.row_offsets(); + const auto edst = g.edge_dst(); + const auto edge_cost = g.cost(); + const auto capacity = g.capacity_units(); + CreationScratch& s = creation_scratch(); + s.begin(static_cast(g.num_nodes())); + for (NodeId d : dsts) s.touch(d).target = 1; + // support_route's walk over the support from src: every reached node keeps its support + // out-edges as one range (B' ids rank edges by source first: one tail's edges are consecutive). + s.reached.clear(); + s.touch(src).reached = 1; + s.reached.push_back(src); + bool any_target = false; + std::size_t m = 0; + std::size_t hint = 0; + for (std::size_t q = 0; q < s.reached.size(); ++q) { // the reached list is the walk's queue + const NodeId u = s.reached[q]; + const auto ui = static_cast(u); + const std::size_t lo = lower_bound_from(sup, hint, row[ui]); + std::size_t hi = lo; + for (; hi < sup.size() && sup[hi] < row[ui + 1]; ++hi) { + const NodeId v = edst[static_cast(sup[hi])]; + auto& nv = s.touch(v); + if (nv.reached != 0) continue; + nv.reached = 1; + s.reached.push_back(v); + } + auto& nu = s.at(u); + any_target = any_target || nu.target != 0; + nu.lo = static_cast(lo); + nu.hi = static_cast(hi); + m += hi - lo; + hint = lo; + } + if (!any_target || m == 0) return std::nullopt; + // The route in ascending EdgeId: the reached nodes' ranges in ascending NodeId (ascending in the + // support, checked), each with Collapse when multi_edge is false (support_route's: one member per + // (u, v) by select_adjacency on the view), every route edge with its tail's local index. A + // destination with route edges, or a route edge that is no member candidate, means build_split + // would not keep the whole route: the caller's path then runs. + std::sort(s.reached.begin(), s.reached.end()); + const std::size_t r = s.reached.size(); + for (std::size_t i = 0; i < r; ++i) s.at(s.reached[i]).local = static_cast(i); + s.route.resize(m); + s.tail.resize(m); + s.first.resize(r); + s.count.resize(r); + const bool collapse = !selection.multi_edge; + const bool prefer = selection.tie_break == EdgeTieBreak::PreferHigherPriority; + std::size_t w = 0; + std::int32_t prev_hi = 0; + for (std::size_t i = 0; i < r; ++i) { + const auto& nu = s.at(s.reached[i]); + s.first[i] = static_cast(w); + if (nu.hi > nu.lo) { + if (nu.lo < prev_hi || nu.target != 0) return std::nullopt; + prev_hi = nu.hi; + } + for (auto k = nu.lo; k < nu.hi;) { + EdgeId best = sup[static_cast(k)]; + auto j = k + 1; + if (collapse) { + const NodeId v = edst[static_cast(best)]; + for (; j < nu.hi && edst[static_cast(sup[static_cast(j)])] == v; ++j) { + if (replaces(g, sup[static_cast(j)], best, prefer, view)) best = sup[static_cast(j)]; + } + } + if (placement != FlowPlacement::MaxFlow && capacity[static_cast(best)] < 1) return std::nullopt; + s.route[w] = best; + s.tail[w] = static_cast(i); + ++w; + k = j; + } + s.count[i] = static_cast(w) - s.first[i]; + } + const std::span route(s.route.data(), w); + // The entries grouped by child (ascending NodeId), ascending via within a child: a counting pass + // over the heads' local indices, the route scattered in ascending order with each entry's parent. + s.head.resize(w); + s.entry.assign(r + 1, 0); + for (std::size_t k = 0; k < w; ++k) { + const auto h = s.at(edst[static_cast(route[k])]).local; + s.head[k] = h; + ++s.entry[static_cast(h) + 1]; + } + std::size_t children = 0; + for (std::size_t i = 0; i < r; ++i) { + if (s.entry[i + 1] != 0) ++children; + s.entry[i + 1] += s.entry[i]; + } + s.fill.assign(s.entry.begin(), s.entry.end() - 1); + s.via.resize(w); + s.parent.resize(w); + for (std::size_t k = 0; k < w; ++k) { + const auto at = static_cast(s.fill[static_cast(s.head[k])]++); + s.via[at] = route[k]; + s.parent[at] = s.tail[k]; + } + // build_split's order: a backward DFS from the destinations, in their order, over the entries, + // listing every node after its parents (postorder). A destination the walk did not reach has no + // entry and no position there, so it is skipped. + s.state.assign(r, 0); + s.order.clear(); + for (NodeId d : dsts) { + const auto& nd = s.at(d); + if (nd.reached == 0) continue; + const auto di = nd.local; + if (s.state[static_cast(di)] != 0) continue; + s.state[static_cast(di)] = 1; + s.dfs.clear(); + s.dfs.emplace_back(di, s.entry[static_cast(di)]); + while (!s.dfs.empty()) { + const auto [v, k] = s.dfs.back(); + if (k < s.entry[static_cast(v) + 1]) { + s.dfs.back().second = k + 1; + const auto u = s.parent[static_cast(k)]; + const auto su = s.state[static_cast(u)]; + if (su == 0) { + s.state[static_cast(u)] = 1; + s.dfs.emplace_back(u, s.entry[static_cast(u)]); + } else if (su == 1) { + return std::nullopt; // a cycle (build_split throws) + } + } else { + s.state[static_cast(v)] = 2; + s.order.push_back(v); + s.dfs.pop_back(); + } + } + } + const auto src_local = s.at(src).local; + if (s.order.size() != r || s.order.front() != src_local) return std::nullopt; + s.position.resize(r); + for (std::size_t p = 0; p < r; ++p) s.position[static_cast(s.order[p])] = static_cast(p); + // make_plan's cost: the minimum walk cost from src to a destination over the members, by the + // order (every member is a route edge, so route_cost is not called). + s.dist.resize(r); + Cost best = kUnreachable; + for (const auto v : s.order) { + const auto vi = static_cast(v); + Cost dv = 0; + if (v != src_local) { + dv = kUnreachable; + for (auto k = s.entry[vi]; k < s.entry[vi + 1]; ++k) { + const auto ki = static_cast(k); + dv = std::min(dv, s.dist[static_cast(s.parent[ki])] + edge_cost[static_cast(s.via[ki])]); + } + } + s.dist[vi] = dv; + if (s.at(s.reached[vi]).target != 0) best = std::min(best, dv); + } + CreationProducts out; + out.cost = best; + KernelPlan& plan = out.plan; + plan.placement = placement; + plan.admission = admission; + plan.src = src; + plan.route.assign(route.begin(), route.end()); + plan.members.assign(route.begin(), route.end()); + if (placement == FlowPlacement::Weighted) { + plan.weights.resize(route.size()); + for (std::size_t k = 0; k < route.size(); ++k) plan.weights[k] = capacity[static_cast(route[k])]; + } + const KernelPlan::Layout lay = plan.layout(dsts, r, route.size()); + for (std::size_t p = 0; p < r; ++p) { + const auto v = static_cast(s.order[p]); + const NodeId x = s.reached[v]; + lay.topo[p] = x; + lay.terminal[p] = s.at(x).target; + const std::int32_t b = s.count[v] == 0 ? 0 : s.first[v]; + lay.out_begin[p] = b; + lay.out_end[p] = b + s.count[v]; + } + for (std::size_t k = 0; k < route.size(); ++k) lay.head_pos[k] = s.position[static_cast(s.head[k])]; + plan.src_out_begin = plan.out_begin[0]; + plan.src_out_end = plan.out_end[0]; + // The record bundle: the support itself when the route is all of it (bundle_of's share). + if (route.size() == sup.size()) { + out.bundle = support; + } else { + std::vector nodes(children); + std::vector offsets(children + 1); + offsets[0] = 0; + for (std::size_t i = 0, c = 0; i < r; ++i) { + if (s.entry[i + 1] == s.entry[i]) continue; + nodes[c] = s.reached[i]; + offsets[++c] = s.entry[i + 1]; + } + std::vector via(s.via.begin(), s.via.begin() + static_cast(w)); + std::vector parents(w); + for (std::size_t k = 0; k < w; ++k) parents[k] = s.reached[static_cast(s.parent[k])]; + std::vector asc(route.begin(), route.end()); + out.bundle = std::make_shared(PredDAGBuilder::of_parts( + g, std::move(nodes), std::move(offsets), std::move(parents), std::move(via), std::move(asc))); + } + return out; +} + // ---------------------------------------------------------------- allocation bool allocate(const KernelPlan& plan, Amount total, std::span out, std::span limit) { diff --git a/src/pred_dag.cpp b/src/pred_dag.cpp index 67d18a1..8f5aac5 100644 --- a/src/pred_dag.cpp +++ b/src/pred_dag.cpp @@ -157,14 +157,22 @@ PredDAG PredDAGBuilder::of_edges(const Graph& g, std::span edges) out.num_nodes_ = g.num_nodes(); std::vector sorted(edges.begin(), edges.end()); if (!std::is_sorted(sorted.begin(), sorted.end())) std::sort(sorted.begin(), sorted.end()); - // Entries grouped by child (ascending NodeId), ascending via within a child: a stable - // counting sort of the ascending edges by their child. - std::vector slot(static_cast(out.num_nodes_) + 1, 0); - for (EdgeId e : sorted) ++slot[static_cast(edge_dst[static_cast(e)]) + 1]; - for (std::size_t v = 1; v < slot.size(); ++v) slot[v] += slot[v - 1]; + // Entries grouped by child (ascending NodeId), ascending via within a child: a small set by + // sorting (child, via) pairs, a larger one by a stable counting sort of the ascending edges by + // their child over an N + 1 temporary. std::vector by_child(sorted.size()); - for (EdgeId e : sorted) { - by_child[static_cast(slot[static_cast(edge_dst[static_cast(e)])]++)] = e; + if (sorted.size() * 8 < static_cast(out.num_nodes_)) { + std::vector> keyed(sorted.size()); + for (std::size_t k = 0; k < sorted.size(); ++k) keyed[k] = {edge_dst[static_cast(sorted[k])], sorted[k]}; + std::sort(keyed.begin(), keyed.end()); + for (std::size_t k = 0; k < keyed.size(); ++k) by_child[k] = keyed[k].second; + } else { + std::vector slot(static_cast(out.num_nodes_) + 1, 0); + for (EdgeId e : sorted) ++slot[static_cast(edge_dst[static_cast(e)]) + 1]; + for (std::size_t v = 1; v < slot.size(); ++v) slot[v] += slot[v - 1]; + for (EdgeId e : sorted) { + by_child[static_cast(slot[static_cast(edge_dst[static_cast(e)])]++)] = e; + } } out.parents_.resize(by_child.size()); out.via_.resize(by_child.size()); @@ -183,6 +191,27 @@ PredDAG PredDAGBuilder::of_edges(const Graph& g, std::span edges) return out; } +PredDAG PredDAGBuilder::empty(const Graph& g) { + PredDAG out; + out.graph_uid_ = g.uid(); + out.num_nodes_ = g.num_nodes(); + return out; +} + +PredDAG PredDAGBuilder::of_parts(const Graph& g, std::vector nodes, std::vector offsets, + std::vector parents, std::vector via, + std::vector ascending) { + PredDAG out; + out.graph_uid_ = g.uid(); + out.num_nodes_ = g.num_nodes(); + out.nodes_ = std::move(nodes); + out.node_offsets_ = std::move(offsets); + out.parents_ = std::move(parents); + out.via_ = std::move(via); + out.edges_ = std::move(ascending); + return out; +} + PredDAG PredDAGBuilder::of_path(std::uint64_t graph_uid, std::int32_t num_nodes, const std::vector>& hops, const std::vector& nodes) { // Hop h's child is nodes[h + 1]; the children are distinct, so ordering the hops by child @@ -208,6 +237,32 @@ PredDAG PredDAGBuilder::of_path(std::uint64_t graph_uid, std::int32_t num_nodes, return out; } +Path PathBuilder::of_walk(const Graph& g, std::span walk) { + std::vector> hops; + hops.reserve(walk.size()); + for (EdgeId e : walk) hops.push_back({e}); + return of_hops(g, std::move(hops)); +} + +Path PathBuilder::of_hops(const Graph& g, std::vector> hops) { + const auto edge_src = g.edge_src(); + const auto edge_dst = g.edge_dst(); + const auto cost = g.cost(); + Path out; + out.nodes_.reserve(hops.size() + 1); + out.nodes_.push_back(edge_src[static_cast(hops.front().front())]); + for (const auto& hop : hops) { + out.nodes_.push_back(edge_dst[static_cast(hop.front())]); + Cost best = cost[static_cast(hop.front())]; + for (EdgeId e : hop) best = std::min(best, cost[static_cast(e)]); + out.cost_ += best; + } + out.graph_uid_ = g.uid(); + out.num_nodes_ = g.num_nodes(); + out.hops_ = std::move(hops); + return out; +} + std::span PredDAGBuilder::ascending(const PredDAG& dag) noexcept { return dag.edges_; } std::span PredDAGBuilder::member_nodes(const PredDAG& dag) noexcept { return dag.nodes_; } diff --git a/src/search.cpp b/src/search.cpp index 230fde4..0fbfcac 100644 --- a/src/search.cpp +++ b/src/search.cpp @@ -1,17 +1,24 @@ /* - The search semantics of APPROACH 6 as internal routines, and the constructor of their - PathSelection. + The one traversal core of every search (detail/traversal.hpp; APPROACH 6 and 14), the public + spf, and the constructors of the search options. - Distances are int64 path costs: every cost is positive and the sum of all costs is below - 2^62, so no simple path cost overflows and kUnreachable (INT64_MAX) never collides. Dijkstra - uses a binary heap of (distance, node); distances are unique, so the heap's order among - equal keys changes no output. + Distances are int64 path costs: every cost is positive and the sum of all costs is below 2^62, + so no simple path cost overflows and kUnreachable (INT64_MAX) never collides. + + The queues pop in (distance, node) order: the heap by its key, the buckets because each bucket + holds one distance at a time (pending distances lie in (d, d + max_cost] for the distance d + popped last, all multiples of the cost gcd) and the active bucket is sorted by node. A node is + pushed only when its distance strictly improves, so a bucket holds a node at most once. Pop + order among equal distances never changes a result: positive costs make every tight + predecessor of a node strictly nearer, hence settled before it. */ -#include "netgraph/core/detail/search.hpp" +#include "netgraph/core/search.hpp" #include +#include +#include #include -#include +#include #include #include #include @@ -20,11 +27,13 @@ #include "netgraph/core/detail/enum_domain.hpp" #include "netgraph/core/detail/int128.hpp" #include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/detail/traversal.hpp" namespace netgraph::core::detail { int compare(const Priority& a, const Priority& b) noexcept { if (a.infinite || b.infinite) return a.infinite == b.infinite ? 0 : (a.infinite ? 1 : -1); + if (a.den == 1 && b.den == 1) return a.num == b.num ? 0 : (a.num < b.num ? -1 : 1); const U128 left = mul_u64(static_cast(a.num), static_cast(b.den)); const U128 right = mul_u64(static_cast(b.num), static_cast(a.den)); if (left == right) return 0; @@ -44,384 +53,1187 @@ Priority PriorityValues::of(EdgeId e) const noexcept { return priority_value(priority, residual[ei], cap); } -std::vector member_mask(const Graph& g, const Eligibility* elig, - const PathSelection& selection, std::span residual, - Amount min_residual) { - const auto m = static_cast(g.num_edges()); - const auto capacity = g.capacity_units(); - std::vector member(m, 0); - for (std::size_t e = 0; e < m; ++e) { - if (elig != nullptr && !elig->edge_ok(static_cast(e))) continue; - if (capacity[e] < 1) continue; - if (!residual.empty() && residual[e] < min_residual) continue; - member[e] = 1; - } - if (selection.multi_edge) return member; - // Collapse: one member per (u, v) by select_adjacency. - const PriorityValues prio {&g, selection.priority, residual}; - const auto value = [&prio](EdgeId e) { return prio.of(e); }; - const bool prefer = selection.tie_break == EdgeTieBreak::PreferHigherPriority; - const auto edge_dst = g.edge_dst(); - const auto row = g.row_offsets(); - std::vector best(static_cast(g.num_nodes()), -1); - std::vector touched; - for (std::int32_t u = 0; u < g.num_nodes(); ++u) { - touched.clear(); - for (auto e = row[static_cast(u)]; e < row[static_cast(u) + 1]; ++e) { - const auto ei = static_cast(e); - if (member[ei] == 0) continue; - const auto v = static_cast(edge_dst[ei]); - const EdgeId cur = best[v]; - if (cur < 0) { - best[v] = e; - touched.push_back(static_cast(v)); - continue; +PriorityFn PriorityFn::of(const PriorityValues& values) noexcept { + return {&values, [](const void* ctx, EdgeId e) noexcept { return static_cast(ctx)->of(e); }}; +} + +std::int64_t bucket_width(const Graph& g) noexcept { + const Cost stride = std::max(1, g.cost_gcd()); + return g.max_cost() / stride + 1; // max_cost < 2^62: no overflow +} + +bool uses_buckets(const Graph& g, SpfQueue queue) noexcept { + return queue == SpfQueue::Auto && bucket_width(g) <= kMaxBucketWidth; +} + +#if NETGRAPH_CORE_PRIVATE_HOOKS +QueueCounts& thread_queue_counts() noexcept { + thread_local QueueCounts counts; + return counts; +} +#endif + +namespace { + +constexpr Cost kInf = kUnreachable; + +// Node marks of the workspace (one byte per node, zero between leases). +enum : std::uint8_t { + kTarget = 1, // a live target of the current search, or a destination of a support route + kExcluded = 2, // a KSP spur's excluded prefix node + kKeep = 4, // a node of the pruned DAG (the walk back from the targets) or of a support route + kBannedHead = 8, // a KSP Collapse ban: the spur node's transition to this node +}; + +// Releases a buffer whose retained capacity exceeds a small multiple of what the last use +// needed, so a thread's workspace does not keep the high-water mark of every graph it saw. +template +void trim(Vec& v, std::size_t used) noexcept { + if (v.capacity() > 4 * used + 65536) { + Vec fresh; + v.swap(fresh); + } +} + +// The reference queue: a binary heap on (distance, node). +class HeapQueue { +public: + void begin(std::span roots) { + h_.clear(); + peak_ = 0; + for (NodeId r : roots) push(0, r); + } + void push(Cost c, NodeId v) { + h_.emplace_back(c, v); // strong guarantee: a failed growth leaves the heap as it was + std::push_heap(h_.begin(), h_.end(), std::greater<> {}); + if (h_.size() > peak_) peak_ = h_.size(); + } + bool pop(Cost& c, NodeId& v) noexcept { + if (h_.empty()) return false; + std::pop_heap(h_.begin(), h_.end(), std::greater<> {}); + c = h_.back().first; + v = h_.back().second; + h_.pop_back(); + return true; + } + void end() noexcept { + h_.clear(); + trim(h_, peak_); + } + +private: + std::vector> h_ {}; + std::size_t peak_ {0}; +}; + +// Monotone cyclic buckets (see the file comment): W' = bit_ceil(W) >= 64 buckets, each an +// intrusive list into one item pool, an occupancy bit per bucket and the words set during the +// search; the active bucket is copied out and sorted by node. A frontier of exactly one item is +// held inline (chain-like stretches pay no bucket bookkeeping); a second push promotes it. +// Between searches every head is -1 and every occupancy bit 0. +class BucketQueue { +public: + void begin(std::int64_t width, Cost stride, std::size_t num_nodes, std::span roots) { + const std::size_t w2 = std::max(64, std::bit_ceil(static_cast(width))); + const std::size_t words = w2 / 64; + // Each growth keeps the invariant of the existing part (heads -1, bits 0), and none can leave + // the queue unusable: every later use reads only up to the sizes reached. + if (head_.size() < w2) head_.resize(w2, -1); + if (occ_.size() < words) occ_.resize(words, 0); + if (dirty_flag_.size() < words) dirty_flag_.resize(words, 0); + if (dirty_.capacity() < words) dirty_.reserve(words); // one entry per word: never grows + if (active_.capacity() < num_nodes) active_.reserve(num_nodes); // a bucket holds a node once + mask_ = w2 - 1; + words_ = words; + stride_ = stride; + shift_ = std::has_single_bit(static_cast(stride)) ? std::countr_zero(static_cast(stride)) : -1; + cur_ = 0; + cur_b_ = 0; + pending_ = 0; + held_ = false; + items_.clear(); + peak_ = 0; + active_.assign(roots.begin(), roots.end()); // distance 0, sorted; within the reserved capacity + pos_ = 0; + } + void push(Cost c, NodeId v) { + if (!held_ && pending_ == 0 && pos_ == active_.size()) { + held_ = true; + held_cost_ = c; + held_node_ = v; + return; + } + if (held_) { + put(held_cost_, held_node_); + held_ = false; + } + put(c, v); + } + bool pop(Cost& c, NodeId& v) noexcept { + if (pos_ < active_.size()) { + c = cur_; + v = active_[pos_++]; + return true; + } + if (held_) { + held_ = false; + cur_ = held_cost_; + cur_b_ = index(cur_); + c = cur_; + v = held_node_; + return true; + } + if (pending_ == 0) return false; + activate(); + c = cur_; + v = active_[pos_++]; + return true; + } + void end() noexcept { + for (const std::uint32_t w : dirty_) { + std::uint64_t word = occ_[w]; + while (word != 0) { + head_[(static_cast(w) << 6) + static_cast(std::countr_zero(word))] = -1; + word &= word - 1; } - if (replaces(g, e, cur, prefer, value)) best[v] = e; + occ_[w] = 0; + dirty_flag_[w] = 0; } - for (std::size_t e = static_cast(row[static_cast(u)]); - e < static_cast(row[static_cast(u) + 1]); ++e) { - if (member[e] != 0 && best[static_cast(edge_dst[e])] != static_cast(e)) member[e] = 0; + dirty_.clear(); + items_.clear(); + active_.clear(); + pos_ = 0; + pending_ = 0; + held_ = false; + trim(items_, peak_); + } + +private: + struct Item { + NodeId node; + std::int32_t next; + }; + [[nodiscard]] std::size_t index(Cost c) const noexcept { + const Cost q = shift_ >= 0 ? (c >> shift_) : c / stride_; + return static_cast(q) & mask_; + } + void put(Cost c, NodeId v) { + const std::size_t b = index(c); + items_.push_back({v, head_[b]}); // the only allocation; a failure changes nothing + head_[b] = static_cast(items_.size() - 1); + const std::size_t w = b >> 6; + if (dirty_flag_[w] == 0) { + dirty_flag_[w] = 1; + dirty_.push_back(static_cast(w)); // reserved for every word } - for (NodeId v : touched) best[static_cast(v)] = -1; + occ_[w] |= std::uint64_t {1} << (b & 63); + ++pending_; + if (items_.size() > peak_) peak_ = items_.size(); + } + // The next non-empty bucket after the active one, cyclically (pending_ > 0): its items become + // the active bucket, sorted by node. + void activate() noexcept { + std::size_t i = (cur_b_ + 1) & mask_; + std::size_t w = i >> 6; + std::uint64_t word = occ_[w] & (~std::uint64_t {0} << (i & 63)); + while (word == 0) { + w = w + 1 == words_ ? 0 : w + 1; + word = occ_[w]; + } + const std::size_t f = (w << 6) + static_cast(std::countr_zero(word)); + cur_ += static_cast((f - cur_b_) & mask_) * stride_; + cur_b_ = f; + active_.clear(); + pos_ = 0; + for (std::int32_t k = head_[f]; k >= 0; k = items_[static_cast(k)].next) { + active_.push_back(items_[static_cast(k)].node); // within the reserved capacity + } + head_[f] = -1; + occ_[w] &= ~(std::uint64_t {1} << (f & 63)); + pending_ -= active_.size(); + if (active_.size() > 1) std::sort(active_.begin(), active_.end()); } - return member; -} -namespace { + std::vector head_ {}; + std::vector occ_ {}; + std::vector dirty_flag_ {}; + std::vector dirty_ {}; + std::vector items_ {}; + std::vector active_ {}; + std::size_t pos_ {0}; + std::size_t mask_ {0}; + std::size_t words_ {0}; + Cost stride_ {1}; + int shift_ {0}; + Cost cur_ {0}; + std::size_t cur_b_ {0}; + std::size_t pending_ {0}; + std::size_t peak_ {0}; + bool held_ {false}; + Cost held_cost_ {0}; + NodeId held_node_ {0}; +}; -using HeapEntry = std::pair; -using MinHeap = std::priority_queue, std::greater<>>; +struct PoolEntry { + EdgeId edge; + std::int32_t next; +}; -} // namespace +// The per-thread search workspace. Between leases: dist == kInf, head == -1, loc == -1 and +// flags == 0 for every node; touched, marked, the pool and both queues empty. touched and marked +// have the capacity of the node arrays, so recording a node never allocates; scratch buffers are +// rewritten before every use. +struct Workspace { + std::vector dist {}; + std::vector head {}; + std::vector loc {}; + std::vector flags {}; + std::vector touched {}; // the nodes whose dist (and head) a lease wrote + std::vector marked {}; // the nodes whose flags (and loc) a lease wrote + std::vector pool {}; // the tight-edge lists + std::size_t pool_peak {0}; + HeapQueue heap {}; + BucketQueue buckets {}; + // scratch + std::vector list {}; + std::vector pruned {}; + std::vector kept {}; + std::vector stack {}; + std::vector off_out {}; + std::vector off_in {}; + std::vector idx_out {}; + std::vector idx_in {}; + std::vector hops {}; + std::vector keep_edge {}; + std::vector has_best {}; + std::vector best {}; + bool leased {false}; +}; -std::vector distances(const Graph& g, std::span member, - std::span roots, Direction direction) { - const auto n = static_cast(g.num_nodes()); - std::vector dist(n, kUnreachable); - const auto cost = g.cost(); - const auto edge_dst = g.edge_dst(); - const auto edge_src = g.edge_src(); - const auto row = g.row_offsets(); - const auto in_row = g.in_row_offsets(); - const auto in_adj = g.in_adj_edge_index(); - MinHeap heap; - for (NodeId r : roots) { - dist[static_cast(r)] = 0; - heap.emplace(0, r); - } - while (!heap.empty()) { - const auto [d, u] = heap.top(); - heap.pop(); +thread_local Workspace tls_workspace; + +// The lease of the thread's workspace for one search (and its extraction): sizes the node arrays +// for the graph, refuses an overlapping lease, and restores the workspace's invariant on every +// exit, exceptions included. A failed acquisition changes nothing (the arrays are replaced +// together or not at all). The workspace holds no pointer into a graph, a residual or an +// Eligibility between leases. +class Lease { +public: + explicit Lease(std::size_t n) : ws_(tls_workspace) { + if (ws_.leased) throw std::logic_error("search: the thread's workspace is already leased (overlapping searches)"); + if (ws_.dist.size() < n || ws_.dist.size() > 4 * n + 4096) { + std::vector dist(n, kInf); + std::vector head(n, -1); + std::vector loc(n, -1); + std::vector flags(n, 0); + std::vector touched; + std::vector marked; + touched.reserve(n); + marked.reserve(n); + ws_.dist.swap(dist); + ws_.head.swap(head); + ws_.loc.swap(loc); + ws_.flags.swap(flags); + ws_.touched.swap(touched); + ws_.marked.swap(marked); + } + ws_.leased = true; + } + Lease(const Lease&) = delete; + Lease& operator=(const Lease&) = delete; + ~Lease() { release(); } + [[nodiscard]] Workspace& ws() noexcept { return ws_; } + +private: + void release() noexcept { + auto& w = ws_; + const std::size_t n = w.dist.size(); + if (w.touched.size() * 4 >= n) { + std::fill(w.dist.begin(), w.dist.end(), kInf); + std::fill(w.head.begin(), w.head.end(), -1); + } else { + for (NodeId v : w.touched) { + w.dist[static_cast(v)] = kInf; + w.head[static_cast(v)] = -1; + } + } + if (w.marked.size() * 4 >= n) { + std::fill(w.flags.begin(), w.flags.end(), std::uint8_t {0}); + std::fill(w.loc.begin(), w.loc.end(), -1); + } else { + for (NodeId v : w.marked) { + w.flags[static_cast(v)] = 0; + w.loc[static_cast(v)] = -1; + } + } + w.touched.clear(); + w.marked.clear(); + w.pool_peak = std::max(w.pool_peak, w.pool.size()); + w.pool.clear(); + trim(w.pool, w.pool_peak); + w.pool_peak = 0; + w.heap.end(); + w.buckets.end(); + w.leased = false; + } + Workspace& ws_; +}; + +void mark(Workspace& ws, NodeId v, std::uint8_t bit) noexcept { + auto& f = ws.flags[static_cast(v)]; + if (f == 0) ws.marked.push_back(v); // within the reserved capacity + f = static_cast(f | bit); +} + +// A KSP spur's rules (forward searches only): the spur node, its banned out-edges (Expand) or +// the banned heads of its transitions (Collapse: the heads carry kBannedHead), and the excluded +// prefix nodes (kExcluded). +struct Spur { + NodeId node {-1}; + std::span banned_edges {}; + bool ban_heads {false}; +}; + +// One search over validated inputs. `roots`: allowed, sorted, unique, non-empty; with `targets` +// the live targets carry kTarget and the search stops at the first one popped. +struct SearchIn { + const Graph* g {nullptr}; + Gate gate {}; + Direction direction {Direction::Forward}; + SpfQueue queue {SpfQueue::Auto}; + std::span roots {}; + bool targets {false}; + bool lists {true}; + const Spur* spur {nullptr}; +}; + +template +Cost loop(Workspace& ws, Q& q, const SearchIn& in) { + const Graph& g = *in.g; + const Cost* const cost = g.cost().data(); + const Amount* const cap = g.capacity_units().data(); + const NodeId* const esrc = g.edge_src().data(); + const NodeId* const edst = g.edge_dst().data(); + const std::int32_t* const row = g.row_offsets().data(); + const std::int32_t* const in_row = g.in_row_offsets().data(); + const EdgeId* const in_adj = g.in_adj_edge_index().data(); + const std::uint8_t* const allowed = in.gate.elig != nullptr ? in.gate.elig->edge_allowed().data() : nullptr; + const Amount* const res = in.gate.residual.empty() ? nullptr : in.gate.residual.data(); + const Amount minr = in.gate.min_residual; + // The node arrays are not resized during a lease: raw pointers keep the compiler from + // reloading the vector bases around every store into the thread-local workspace. + Cost* const dist = ws.dist.data(); + std::int32_t* const head = ws.head.data(); + const std::uint8_t* const flags = ws.flags.data(); + const bool targets = in.targets; + const bool lists = in.lists; + const Spur* const spur = in.spur; + auto candidate = [&](std::size_t e) noexcept { + return (allowed == nullptr || allowed[e] != 0) && cap[e] >= 1 && (res == nullptr || res[e] >= minr); + }; + // Records a node in `touched` before its first write (never allocates) and a tight edge in the + // pool before it is linked (a failed growth changes nothing). + auto relax = [&](NodeId x, Cost nd, EdgeId e) { + const auto xi = static_cast(x); + const Cost dx = dist[xi]; + if (nd < dx) { + if (lists) ws.pool.push_back({e, -1}); + if (dx == kInf) ws.touched.push_back(x); + if (lists) head[xi] = static_cast(ws.pool.size() - 1); + dist[xi] = nd; + q.push(nd, x); + } else if (lists && nd == dx) { + ws.pool.push_back({e, head[xi]}); + head[xi] = static_cast(ws.pool.size() - 1); + } + }; + Cost d = 0; + NodeId u = 0; + while (q.pop(d, u)) { const auto ui = static_cast(u); - if (d != dist[ui]) continue; - if (direction == Direction::Forward) { - for (auto e = row[ui]; e < row[ui + 1]; ++e) { - const auto ei = static_cast(e); - if (member[ei] == 0) continue; - const auto v = static_cast(edge_dst[ei]); - const Cost nd = d + cost[ei]; - if (nd < dist[v]) { - dist[v] = nd; - heap.emplace(nd, static_cast(v)); + if (d != dist[ui]) continue; // a stale entry: the node improved after this push + if (targets && (flags[ui] & kTarget) != 0) return d; // the nearest targets' distance + if constexpr (D == Direction::Forward) { + const bool at_spur = spur != nullptr && u == spur->node; + for (auto e = static_cast(row[ui]); e < static_cast(row[ui + 1]); ++e) { + if (!candidate(e)) continue; + const NodeId v = edst[e]; + if (spur != nullptr) { + const std::uint8_t fv = flags[static_cast(v)]; + if ((fv & kExcluded) != 0) continue; + if (at_spur) { + if (spur->ban_heads ? (fv & kBannedHead) != 0 + : std::find(spur->banned_edges.begin(), spur->banned_edges.end(), + static_cast(e)) != spur->banned_edges.end()) { + continue; + } + } } + relax(v, d + cost[e], static_cast(e)); } } else { - for (auto s = in_row[ui]; s < in_row[ui + 1]; ++s) { - const auto ei = static_cast(in_adj[static_cast(s)]); - if (member[ei] == 0) continue; - const auto v = static_cast(edge_src[ei]); - const Cost nd = d + cost[ei]; - if (nd < dist[v]) { - dist[v] = nd; - heap.emplace(nd, static_cast(v)); - } + for (auto s = static_cast(in_row[ui]); s < static_cast(in_row[ui + 1]); ++s) { + const auto e = static_cast(in_adj[s]); + if (!candidate(e)) continue; + relax(esrc[e], d + cost[e], static_cast(e)); } } } - return dist; + return kInf; } -std::vector full_dag(const Graph& g, std::span member, - std::span dist, Direction direction) { - const auto cost = g.cost(); - const auto edge_src = g.edge_src(); - const auto edge_dst = g.edge_dst(); - std::vector out; - for (std::size_t e = 0; e < member.size(); ++e) { - if (member[e] == 0) continue; - const Cost du = dist[static_cast(edge_src[e])]; - const Cost dv = dist[static_cast(edge_dst[e])]; - if (du == kUnreachable || dv == kUnreachable) continue; - const bool tight = direction == Direction::Forward ? du + cost[e] == dv : dv + cost[e] == du; - if (tight) out.push_back(static_cast(e)); +// Runs one search into the leased workspace; returns the nearest targets' distance d* (kInf +// without targets or when none is reached). +Cost run(Workspace& ws, const SearchIn& in) { + for (NodeId r : in.roots) { + ws.touched.push_back(r); // before the write; within the reserved capacity + ws.dist[static_cast(r)] = 0; } - return out; + const Graph& g = *in.g; + const bool forward = in.direction == Direction::Forward; + if (uses_buckets(g, in.queue)) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + ++thread_queue_counts().buckets; +#endif + ws.buckets.begin(bucket_width(g), std::max(1, g.cost_gcd()), ws.dist.size(), in.roots); + return forward ? loop(ws, ws.buckets, in) : loop(ws, ws.buckets, in); + } +#if NETGRAPH_CORE_PRIVATE_HOOKS + ++thread_queue_counts().heap; +#endif + ws.heap.begin(in.roots); + return forward ? loop(ws, ws.heap, in) : loop(ws, ws.heap, in); +} + +// How a list's entries are read after a search: the list of a node holds its tight in-edges +// (Forward: the other endpoint is the edge's source) or its tight out-edges toward the roots +// (Reverse: the other endpoint is the edge's destination); Collapse keeps one member per pair. +struct Emit { + const Graph* g {nullptr}; + bool forward {true}; + bool collapse {false}; + bool prefer {false}; + PriorityFn prio {}; +}; + +// Appends node x's list to `out` with Collapse applied. The entries of one pair are consecutive +// in the list (each node's scan inserts them one after another; they are the pair's cheapest +// candidates, consecutive in both adjacency orders), so one pass groups them by the other endpoint. +void read_list(const Workspace& ws, const Emit& em, NodeId x, std::vector& out) { + const NodeId* const other = em.forward ? em.g->edge_src().data() : em.g->edge_dst().data(); + std::int32_t k = ws.head[static_cast(x)]; + if (!em.collapse) { + for (; k >= 0; k = ws.pool[static_cast(k)].next) out.push_back(ws.pool[static_cast(k)].edge); + return; + } + while (k >= 0) { + EdgeId best = ws.pool[static_cast(k)].edge; + const NodeId y = other[static_cast(best)]; + k = ws.pool[static_cast(k)].next; + for (; k >= 0; k = ws.pool[static_cast(k)].next) { + const EdgeId e = ws.pool[static_cast(k)].edge; + if (other[static_cast(e)] != y) break; + if (em.prefer) { + const int c = compare(em.prio(e), em.prio(best)); + if (c > 0 || (c == 0 && e < best)) best = e; + } else if (e < best) { + best = e; + } + } + out.push_back(best); + } +} + +// Sorts a short run ascending (a node's list). +void sort_small(std::vector& v, std::size_t from) { + if (v.size() - from > 1) std::sort(v.begin() + static_cast(from), v.end()); } -TightDag tight_dag(const Graph& g, std::span member, std::span sources, - std::span destinations) { +// The full search's DAG from the lists (one dense pass over the nodes; a full search costs O(N) +// for its costs anyway): Forward lists are per child, so the entries come grouped by child and +// the ascending order by a counting pass over the parents; Reverse lists are per parent, so the +// ascending order comes directly and the grouping by a counting pass over the children. +PredDAG emit_full(Workspace& ws, const Emit& em) { + const Graph& g = *em.g; const auto n = static_cast(g.num_nodes()); - const auto cost = g.cost(); - const auto edge_dst = g.edge_dst(); - const auto edge_src = g.edge_src(); - const auto row = g.row_offsets(); - const auto in_row = g.in_row_offsets(); - const auto in_adj = g.in_adj_edge_index(); - std::vector is_dst(n, 0); - for (NodeId t : destinations) is_dst[static_cast(t)] = 1; - // Forward Dijkstra from the sources until every node at distance <= d* is final. - std::vector dist(n, kUnreachable); - std::vector settled(n, 0); - MinHeap heap; - for (NodeId s : sources) { - dist[static_cast(s)] = 0; - heap.emplace(0, s); - } - Cost dstar = kUnreachable; - while (!heap.empty()) { - const auto [d, u] = heap.top(); - if (d > dstar) break; - heap.pop(); - const auto ui = static_cast(u); - if (d != dist[ui] || settled[ui] != 0) continue; - settled[ui] = 1; - if (is_dst[ui] != 0) { - dstar = std::min(dstar, d); - continue; // destinations are terminal - } - for (auto e = row[ui]; e < row[ui + 1]; ++e) { - const auto ei = static_cast(e); - if (member[ei] == 0) continue; - const auto v = static_cast(edge_dst[ei]); - const Cost nd = d + cost[ei]; - if (nd < dist[v]) { - dist[v] = nd; - heap.emplace(nd, static_cast(v)); + const auto esrc = g.edge_src(); + const auto edst = g.edge_dst(); + std::vector nodes; + std::vector offsets {0}; + std::vector parents; + std::vector via; + std::vector asc; + auto& list = ws.list; + list.clear(); + if (em.forward) { + for (std::size_t v = 0; v < n; ++v) { + if (ws.head[v] < 0) continue; + const std::size_t from = list.size(); + read_list(ws, em, static_cast(v), list); + sort_small(list, from); + nodes.push_back(static_cast(v)); + offsets.push_back(static_cast(list.size())); + } + via = list; + parents.resize(via.size()); + for (std::size_t k = 0; k < via.size(); ++k) parents[k] = esrc[static_cast(via[k])]; + // Ascending EdgeId = grouped by source (B' ids rank by source first), ascending within one. + std::vector slot(n + 1, 0); + for (NodeId p : parents) ++slot[static_cast(p) + 1]; + for (std::size_t v = 1; v <= n; ++v) slot[v] += slot[v - 1]; + asc.resize(via.size()); + for (std::size_t k = 0; k < via.size(); ++k) { + asc[static_cast(slot[static_cast(parents[k])]++)] = via[k]; + } + for (std::size_t v = 0, from = 0; v < n; ++v) { + const auto to = static_cast(slot[v]); + if (to - from > 1) std::sort(asc.begin() + static_cast(from), asc.begin() + static_cast(to)); + from = to; + } + } else { + const auto row = g.row_offsets(); + for (std::size_t u = 0; u < n; ++u) { + if (ws.head[u] < 0) continue; + if (!em.collapse && row[u + 1] - row[u] <= 64) { + // The list holds distinct out-edges of u, ids in [row[u], row[u + 1]): one bit per id gives + // them in ascending order without a sort. + std::uint64_t bits = 0; + for (std::int32_t k = ws.head[u]; k >= 0; k = ws.pool[static_cast(k)].next) { + bits |= std::uint64_t {1} << (ws.pool[static_cast(k)].edge - row[u]); + } + for (; bits != 0; bits &= bits - 1) list.push_back(row[u] + std::countr_zero(bits)); + continue; + } + const std::size_t from = list.size(); + read_list(ws, em, static_cast(u), list); + sort_small(list, from); + } + asc = list; // grouped by source in ascending NodeId, ascending within each: ascending EdgeId + std::vector slot(n + 1, 0); + for (EdgeId e : asc) ++slot[static_cast(edst[static_cast(e)]) + 1]; + for (std::size_t v = 1; v <= n; ++v) slot[v] += slot[v - 1]; + via.resize(asc.size()); + for (EdgeId e : asc) via[static_cast(slot[static_cast(edst[static_cast(e)])]++)] = e; + parents.resize(via.size()); + for (std::size_t k = 0; k < via.size(); ++k) parents[k] = esrc[static_cast(via[k])]; + for (std::size_t v = 0, from = 0; v < n; ++v) { + const auto to = static_cast(slot[v]); // the end of child v's entries + if (to > from) { + nodes.push_back(static_cast(v)); + offsets.push_back(static_cast(to)); } + from = to; } } - TightDag out; - if (dstar == kUnreachable) { - out.cost = kUnreachable; - return out; + return PredDAGBuilder::of_parts(g, std::move(nodes), std::move(offsets), std::move(parents), std::move(via), + std::move(asc)); +} + +// The walk back from the targets at d* along the lists (anycast pruning): every tight edge on a +// walk from a root to a nearest target, Collapse applied, into ws.pruned (any order); the nodes on +// those walks carry kKeep and are listed in ws.kept. +void prune(Workspace& ws, const Emit& em, std::span targets, Cost dstar) { + const NodeId* const other = em.forward ? em.g->edge_src().data() : em.g->edge_dst().data(); + ws.pruned.clear(); + ws.kept.clear(); + ws.stack.clear(); + for (NodeId t : targets) { + if (ws.dist[static_cast(t)] != dstar) continue; + mark(ws, t, kKeep); + ws.kept.push_back(t); + ws.stack.push_back(t); } - out.cost = dstar; - // Back-prune from the destinations at d* over tight in-edges whose tail is settled below d*. - std::vector keep(n, 0); - std::vector stack; - for (NodeId t : destinations) { - const auto ti = static_cast(t); - if (dist[ti] == dstar && keep[ti] == 0) { - keep[ti] = 1; - stack.push_back(t); - } - } - while (!stack.empty()) { - const auto v = static_cast(stack.back()); - stack.pop_back(); - for (auto s = in_row[v]; s < in_row[v + 1]; ++s) { - const auto ei = static_cast(in_adj[static_cast(s)]); - if (member[ei] == 0) continue; - const auto u = static_cast(edge_src[ei]); - if (settled[u] == 0 || is_dst[u] != 0 || dist[u] >= dstar || dist[u] + cost[ei] != dist[v]) continue; - out.edges.push_back(static_cast(ei)); - if (keep[u] == 0) { - keep[u] = 1; - stack.push_back(static_cast(u)); - } + while (!ws.stack.empty()) { + const NodeId x = ws.stack.back(); + ws.stack.pop_back(); + const std::size_t from = ws.pruned.size(); + read_list(ws, em, x, ws.pruned); + for (std::size_t k = from; k < ws.pruned.size(); ++k) { + const NodeId y = other[static_cast(ws.pruned[k])]; + if ((ws.flags[static_cast(y)] & kKeep) != 0) continue; + mark(ws, y, kKeep); + ws.kept.push_back(y); + ws.stack.push_back(y); } } - std::sort(out.edges.begin(), out.edges.end()); - return out; } -std::optional canonical_path(const Graph& g, std::span member, - std::span sources, std::span destinations, - const PriorityValues* priority) { - TightDag tight = tight_dag(g, member, sources, destinations); - if (tight.cost == kUnreachable) return std::nullopt; - const auto n = static_cast(g.num_nodes()); +// The staged canonical single path (APPROACH 6) on a tight DAG: `edges` (ws.pruned, any order) and +// its nodes `nodes` (ws.kept, each with kKeep), `pot(v)` the potential of a node (its forward +// distance from the walks' starts: 0 at the starts, `total` at the ends; a topological order). +// Stage 2 under PreferHigherPriority (`prio`): B*, the max-min priority over the DAG's walks, +// capped by `cap` (a KSP root prefix's bottleneck), and the DAG restricted to priority >= B*. +// Stage 3: the reverse hop count h from the ends and the greedy walk from the starts of minimum +// h, each step the smallest edge whose head has h(v) = h(u) - 1 (prefix-monotone, so the walk is +// the lexicographic minimum and simple). +struct Walk { + std::vector edges {}; // in walk order + Cost cost {0}; + Priority bottleneck {0, 1, true}; // the minimum priority along the walk (prio given) +}; + +template +Walk extract(Workspace& ws, const Graph& g, Pot pot, Cost total, const PriorityFn* prio, const Priority* cap) { + auto& nodes = ws.kept; + auto& edges = ws.pruned; + const auto esrc = g.edge_src(); + const auto edst = g.edge_dst(); const auto cost = g.cost(); - const auto edge_src = g.edge_src(); - const auto edge_dst = g.edge_dst(); - std::vector is_dst(n, 0); - for (NodeId t : destinations) is_dst[static_cast(t)] = 1; - std::vector dag = std::move(tight.edges); - SinglePath out; - out.cost = tight.cost; - if (priority != nullptr) { - // Stage 2: B*, the max-min bottleneck over the walks of the tight DAG. Distances from the - // sources inside the DAG order its nodes topologically. - std::vector dag_member(member.size(), 0); - for (EdgeId e : dag) dag_member[static_cast(e)] = 1; - const auto dist = distances(g, dag_member, sources, Direction::Forward); - std::vector by_tail(dag); - std::sort(by_tail.begin(), by_tail.end(), [&](EdgeId a, EdgeId b) { - const Cost da = dist[static_cast(edge_src[static_cast(a)])]; - const Cost db = dist[static_cast(edge_src[static_cast(b)])]; - return da != db ? da < db : a < b; - }); - std::vector> best(n); - for (NodeId s : sources) best[static_cast(s)] = Priority {0, 1, true}; - for (EdgeId e : by_tail) { - const auto u = static_cast(edge_src[static_cast(e)]); - const auto v = static_cast(edge_dst[static_cast(e)]); - if (!best[u].has_value()) continue; - Priority cand = priority->of(e); - if (compare(*best[u], cand) < 0) cand = *best[u]; - if (!best[v].has_value() || compare(cand, *best[v]) > 0) best[v] = cand; + std::sort(nodes.begin(), nodes.end(), [&](NodeId a, NodeId b) { + const Cost pa = pot(a); + const Cost pb = pot(b); + return pa != pb ? pa < pb : a < b; + }); + std::sort(edges.begin(), edges.end()); + const std::size_t k = nodes.size(); + for (std::size_t i = 0; i < k; ++i) ws.loc[static_cast(nodes[i])] = static_cast(i); + auto local = [&](NodeId v) { return static_cast(ws.loc[static_cast(v)]); }; + // Local CSRs over the edges in ascending EdgeId: out-lists by tail, in-lists by head. + ws.off_out.assign(k + 1, 0); + ws.off_in.assign(k + 1, 0); + for (EdgeId e : edges) { + ++ws.off_out[local(esrc[static_cast(e)]) + 1]; + ++ws.off_in[local(edst[static_cast(e)]) + 1]; + } + for (std::size_t i = 1; i <= k; ++i) { + ws.off_out[i] += ws.off_out[i - 1]; + ws.off_in[i] += ws.off_in[i - 1]; + } + ws.idx_out.resize(edges.size()); + ws.idx_in.resize(edges.size()); + ws.hops.assign(k, 0); // reused as the fill cursors, then as h + for (std::size_t p = 0; p < edges.size(); ++p) { + const std::size_t t = local(esrc[static_cast(edges[p])]); + ws.idx_out[static_cast(ws.off_out[t] + ws.hops[t]++)] = static_cast(p); + } + std::fill(ws.hops.begin(), ws.hops.end(), 0); + for (std::size_t p = 0; p < edges.size(); ++p) { + const std::size_t h = local(edst[static_cast(edges[p])]); + ws.idx_in[static_cast(ws.off_in[h] + ws.hops[h]++)] = static_cast(p); + } + ws.keep_edge.assign(edges.size(), 1); + if (prio != nullptr) { + ws.best.assign(k, Priority {}); + ws.has_best.assign(k, 0); + for (std::size_t i = 0; i < k && pot(nodes[i]) == 0; ++i) { + ws.best[i] = Priority {0, 1, true}; + ws.has_best[i] = 1; + } + for (std::size_t i = 0; i < k; ++i) { + if (ws.has_best[i] == 0) continue; + for (auto s = ws.off_out[i]; s < ws.off_out[i + 1]; ++s) { + const EdgeId e = edges[static_cast(ws.idx_out[static_cast(s)])]; + Priority c = (*prio)(e); + if (compare(ws.best[i], c) < 0) c = ws.best[i]; + const std::size_t j = local(edst[static_cast(e)]); + if (ws.has_best[j] == 0 || compare(c, ws.best[j]) > 0) { + ws.best[j] = c; + ws.has_best[j] = 1; + } + } } std::optional b_star; - for (NodeId t : destinations) { - const auto ti = static_cast(t); - if (dist[ti] != tight.cost || !best[ti].has_value()) continue; - if (!b_star.has_value() || compare(*best[ti], *b_star) > 0) b_star = best[ti]; - } - if (!b_star.has_value()) return std::nullopt; - std::vector kept; - for (EdgeId e : dag) { - if (compare(priority->of(e), *b_star) >= 0) kept.push_back(e); - } - dag = std::move(kept); - } - // Stage 3: hop counts toward the destinations inside the (restricted) DAG, then the greedy - // walk by the smallest tight edge whose head is one hop closer. - constexpr std::int32_t kNone = -1; - std::vector h(n, kNone); - std::vector> in_dag(n), out_dag(n); - for (EdgeId e : dag) { // ascending: out_dag lists stay ascending - in_dag[static_cast(edge_dst[static_cast(e)])].push_back(e); - out_dag[static_cast(edge_src[static_cast(e)])].push_back(e); - } - std::vector queue; - for (NodeId t : destinations) { - h[static_cast(t)] = 0; - queue.push_back(t); + for (std::size_t i = k; i-- > 0 && pot(nodes[i]) == total;) { + if (ws.has_best[i] != 0 && (!b_star.has_value() || compare(ws.best[i], *b_star) > 0)) b_star = ws.best[i]; + } + if (!b_star.has_value()) throw std::logic_error("canonical path: no walk reaches an end of the tight DAG"); + if (cap != nullptr && compare(*cap, *b_star) < 0) b_star = *cap; + for (std::size_t p = 0; p < edges.size(); ++p) ws.keep_edge[p] = compare((*prio)(edges[p]), *b_star) >= 0 ? 1 : 0; + } + // h: the hop count to the nearest end inside the (restricted) DAG; -1 where none is reached. + auto& h = ws.hops; + std::fill(h.begin(), h.end(), -1); + auto& queue = ws.stack; + queue.clear(); + for (std::size_t i = k; i-- > 0 && pot(nodes[i]) == total;) { + h[i] = 0; + queue.push_back(nodes[i]); } for (std::size_t qi = 0; qi < queue.size(); ++qi) { - const auto v = static_cast(queue[qi]); - for (EdgeId e : in_dag[v]) { - const auto u = static_cast(edge_src[static_cast(e)]); - if (h[u] == kNone) { - h[u] = h[v] + 1; - queue.push_back(static_cast(u)); + const std::size_t x = local(queue[qi]); + for (auto s = ws.off_in[x]; s < ws.off_in[x + 1]; ++s) { + const auto p = static_cast(ws.idx_in[static_cast(s)]); + if (ws.keep_edge[p] == 0) continue; + const std::size_t y = local(esrc[static_cast(edges[p])]); + if (h[y] < 0) { + h[y] = h[x] + 1; + queue.push_back(nodes[y]); } } } - std::int32_t hmin = kNone; - for (NodeId s : sources) { - const std::int32_t hs = h[static_cast(s)]; - if (hs != kNone && (hmin == kNone || hs < hmin)) hmin = hs; - } - if (hmin == kNone) return std::nullopt; - std::vector frontier; - for (NodeId s : sources) { - if (h[static_cast(s)] == hmin) frontier.push_back(s); - } - while (true) { - EdgeId pick = -1; - for (NodeId x : frontier) { - const auto xi = static_cast(x); - for (EdgeId e : out_dag[xi]) { - const auto v = static_cast(edge_dst[static_cast(e)]); - if (h[v] != kNone && h[v] == h[xi] - 1) { - if (pick < 0 || e < pick) pick = e; - break; // ascending: the first qualifying edge of x is its smallest - } - } + // The first qualifying out-edge of a node (out-lists ascending: its smallest), or -1. + auto next_edge = [&](std::size_t x) -> EdgeId { + for (auto s = ws.off_out[x]; s < ws.off_out[x + 1]; ++s) { + const auto p = static_cast(ws.idx_out[static_cast(s)]); + if (ws.keep_edge[p] == 0) continue; + const EdgeId e = edges[p]; + if (h[local(edst[static_cast(e)])] == h[x] - 1) return e; } - if (pick < 0) break; - out.walk.push_back(pick); - const NodeId u = edge_dst[static_cast(pick)]; - if (is_dst[static_cast(u)] != 0) break; - frontier.assign(1, u); + return -1; + }; + std::int32_t hmin = -1; + for (std::size_t i = 0; i < k && pot(nodes[i]) == 0; ++i) { + if (h[i] >= 0 && (hmin < 0 || h[i] < hmin)) hmin = h[i]; + } + if (hmin <= 0) throw std::logic_error("canonical path: no start reaches an end of the restricted DAG"); + EdgeId pick = -1; + for (std::size_t i = 0; i < k && pot(nodes[i]) == 0; ++i) { + if (h[i] != hmin) continue; + const EdgeId e = next_edge(i); + if (e >= 0 && (pick < 0 || e < pick)) pick = e; + } + Walk out; + out.edges.reserve(static_cast(hmin)); + while (pick >= 0) { + out.edges.push_back(pick); + out.cost += cost[static_cast(pick)]; + if (prio != nullptr) { + const Priority p = (*prio)(pick); + if (compare(p, out.bottleneck) < 0) out.bottleneck = p; + } + const std::size_t v = local(edst[static_cast(pick)]); + if (h[v] == 0) break; + pick = next_edge(v); + } + if (out.edges.size() != static_cast(hmin) || out.cost != total) { + throw std::logic_error("canonical path: the greedy walk is not a shortest walk of the DAG"); } - if (out.walk.empty()) return std::nullopt; - Cost walk_cost = 0; - for (EdgeId e : out.walk) walk_cost += cost[static_cast(e)]; - if (walk_cost != out.cost) throw std::logic_error("canonical path: the walk is not tight"); return out; } -SpfOut spf(const Graph& g, std::span roots, Direction direction, - std::optional> targets, const PathSelection& selection, - std::optional> residual_arg, Amount min_residual, const Eligibility* elig) { - check_member(direction, "direction"); - check_selection(selection); - const auto root_set = node_set(roots, g.num_nodes(), "roots"); - std::vector target_set; - if (targets.has_value()) { - target_set = node_set(*targets, g.num_nodes(), "targets"); - check_disjoint(root_set, target_set, "roots", "targets"); - } else if (!selection.multipath) { - throw std::invalid_argument("multipath = false requires targets (the single path joins a root to a target)"); +// The live (allowed) members of a sorted node set. +std::vector live(std::span set, const Eligibility* elig) { + std::vector out; + out.reserve(set.size()); + for (NodeId v : set) { + if (elig == nullptr || elig->node_ok(v)) out.push_back(v); } + return out; +} + +Emit emit_of(const Graph& g, Direction direction, const PathSelection& selection, const PriorityFn& prio) { + Emit em; + em.g = &g; + em.forward = direction == Direction::Forward; + em.collapse = !selection.multi_edge; + em.prefer = selection.tie_break == EdgeTieBreak::PreferHigherPriority; + em.prio = prio; + return em; +} + +void check_residual(const Graph& g, std::span residual) { const auto m = static_cast(g.num_edges()); - const std::span residual = residual_arg.value_or(std::span {}); - if (residual_arg.has_value() && residual.size() != m) { + if (residual.size() != m) { throw std::invalid_argument("residual has length " + std::to_string(residual.size()) + ", expected " + std::to_string(m) + " (one entry per edge)"); } const auto capacity = g.capacity_units(); - for (std::size_t e = 0; e < residual.size(); ++e) { + for (std::size_t e = 0; e < m; ++e) { if (residual[e] < 0 || residual[e] > capacity[e]) { throw std::invalid_argument("residual[" + std::to_string(e) + "] = " + std::to_string(residual[e]) + " is outside [0, capacity_units[" + std::to_string(e) + "] = " + std::to_string(capacity[e]) + "]"); } } - if (min_residual < 1) { - throw std::invalid_argument("min_residual must be at least 1 unit (got " + std::to_string(min_residual) + ")"); +} + +// One KSP spur search (APPROACH 6, rule 10): the canonical walk from `spur` to `dst` over the +// candidates of `gate`, without the excluded prefix nodes, with the spur node's banned +// transitions (Expand: the banned edges; Collapse: every edge to a banned head, no re-selection), +// B* capped by `cap` (the root prefix's bottleneck). nullopt when dst is unreachable. +std::optional spur_walk(const Graph& g, const Gate& gate, const PathSelection& selection, const PriorityFn& prio, + NodeId spur, NodeId dst, std::span excluded, std::span banned, + const Priority* cap) { + Lease lease(static_cast(g.num_nodes())); + Workspace& ws = lease.ws(); + mark(ws, dst, kTarget); + for (NodeId v : excluded) mark(ws, v, kExcluded); + Spur rule; + rule.node = spur; + if (selection.multi_edge) { + rule.banned_edges = banned; + } else { + rule.ban_heads = true; + for (EdgeId e : banned) mark(ws, g.edge_dst()[static_cast(e)], kBannedHead); } - if (elig != nullptr && elig->graph_uid() != g.uid()) { - throw std::invalid_argument("foreign Eligibility: built for another graph"); + const NodeId roots[1] = {spur}; + SearchIn in; + in.g = &g; + in.gate = gate; + in.roots = roots; + in.targets = true; + in.spur = &rule; + const Cost dstar = run(ws, in); + if (dstar == kInf) return std::nullopt; + const Emit em = emit_of(g, Direction::Forward, selection, prio); + const NodeId targets[1] = {dst}; + prune(ws, em, targets, dstar); + const bool prefer = selection.tie_break == EdgeTieBreak::PreferHigherPriority; + return extract(ws, g, [&](NodeId v) { return ws.dist[static_cast(v)]; }, dstar, + prefer ? &prio : nullptr, cap); +} + + +// The walks of resolve_to_paths (validated inputs): see the public function. +std::vector enumerate_paths(const Graph& g, const PredDAG& dag, NodeId src, NodeId dst, bool split, + std::optional max_paths) { + const auto children = PredDAGBuilder::member_nodes(dag); + const auto offsets = PredDAGBuilder::member_offsets(dag); + const auto parents = dag.parents(); + const auto via = dag.via_edges(); + const auto cost = g.cost(); + std::vector out; + // The entries of a child: [offsets[i], offsets[i + 1]) for children[i], none for another node. + auto entries_of = [&](NodeId v) -> std::pair { + const auto it = std::lower_bound(children.begin(), children.end(), v); + if (it == children.end() || *it != v) return {0, 0}; + const auto i = static_cast(it - children.begin()); + return {offsets[i], offsets[i + 1]}; + }; + Lease lease(static_cast(g.num_nodes())); + Workspace& ws = lease.ws(); + // The nodes that reach dst inside the DAG (the walk back over the entries), local index by + // discovery. + auto& kept = ws.kept; + kept.clear(); + ws.stack.clear(); + mark(ws, dst, kKeep); + kept.push_back(dst); + ws.stack.push_back(dst); + while (!ws.stack.empty()) { + const NodeId v = ws.stack.back(); + ws.stack.pop_back(); + const auto [lo, hi] = entries_of(v); + for (auto k = lo; k < hi; ++k) { + const NodeId u = parents[static_cast(k)]; + if ((ws.flags[static_cast(u)] & kKeep) != 0) continue; + mark(ws, u, kKeep); + kept.push_back(u); + ws.stack.push_back(u); + } } - const auto member = member_mask(g, elig, selection, residual, min_residual); - std::vector live_roots; - for (NodeId r : root_set) { - if (elig == nullptr || elig->node_ok(r)) live_roots.push_back(r); + if ((ws.flags[static_cast(src)] & kKeep) == 0) return out; // src is not on a walk to dst + for (std::size_t i = 0; i < kept.size(); ++i) ws.loc[static_cast(kept[i])] = static_cast(i); + auto local = [&](NodeId v) { return static_cast(ws.loc[static_cast(v)]); }; + // The hops: per child, its entries come in ascending via, so grouped by parent (B' ids rank by + // source first); a hop is one parent's run (its members ascending, its cost the cheapest, its + // key the lowest id), or one member when split. + struct Hop { + std::int32_t tail; + std::int32_t head; + std::int32_t first; // the members are via[first .. first + count) + std::int32_t count; + Cost cost; + EdgeId key; + }; + std::vector hops; + for (NodeId v : kept) { + const auto [lo, hi] = entries_of(v); + for (auto k = lo; k < hi;) { + const NodeId u = parents[static_cast(k)]; + auto end = k + 1; + while (end < hi && parents[static_cast(end)] == u) ++end; + if (split) { + for (auto m = k; m < end; ++m) { + const EdgeId e = via[static_cast(m)]; + hops.push_back({static_cast(local(u)), static_cast(local(v)), m, 1, + cost[static_cast(e)], e}); + } + } else { + Cost c = cost[static_cast(via[static_cast(k)])]; + for (auto m = k + 1; m < end; ++m) c = std::min(c, cost[static_cast(via[static_cast(m)])]); + hops.push_back({static_cast(local(u)), static_cast(local(v)), k, end - k, c, + via[static_cast(k)]}); + } + k = end; + } } - SpfOut out; - if (!targets.has_value()) { - auto dist = distances(g, member, live_roots, direction); - out.edges = full_dag(g, member, dist, direction); - out.costs = std::move(dist); - return out; + const std::size_t n = kept.size(); + std::vector out_off(n + 1, 0); + for (const auto& h : hops) ++out_off[static_cast(h.tail) + 1]; + for (std::size_t i = 1; i <= n; ++i) out_off[i] += out_off[i - 1]; + std::vector out_hop(hops.size()); + { + std::vector fill(out_off.begin(), out_off.end() - 1); + for (std::size_t h = 0; h < hops.size(); ++h) { + out_hop[static_cast(fill[static_cast(hops[h].tail)]++)] = static_cast(h); + } } - std::vector live_targets; - for (NodeId t : target_set) { - if (elig == nullptr || elig->node_ok(t)) live_targets.push_back(t); + // Per node: its completions found so far (sorted) and the heap of the next completion per hop. + struct Elem { + Cost cost; + std::int64_t hops; + std::int32_t hop; // -1: the empty completion of dst + std::int64_t rank; // the completion of the hop's head this one extends + }; + struct Next { + Cost cost; + std::int64_t hops; + EdgeId key; + std::int32_t hop; + std::int64_t rank; + }; + auto after = [](const Next& a, const Next& b) { // a pops after b: (cost, hops, key) ascending + if (a.cost != b.cost) return a.cost > b.cost; + if (a.hops != b.hops) return a.hops > b.hops; + return a.key > b.key; + }; + std::vector> list(n); + std::vector> heap(n); + std::vector ready(n, 0); + const std::size_t t = local(dst); + list[t].push_back({0, 0, -1, -1}); + ready[t] = 1; // a walk ends at dst: its out-hops never extend a completion + auto offer = [&](std::size_t x, std::int32_t h, std::int64_t rank) { + const auto& s = list[static_cast(hops[static_cast(h)].head)][static_cast(rank)]; + heap[x].push_back({hops[static_cast(h)].cost + s.cost, s.hops + 1, hops[static_cast(h)].key, h, rank}); + std::push_heap(heap[x].begin(), heap[x].end(), after); + }; + // get(x, i): whether node x has an i-th completion (computing it if needed), with an explicit + // frame stack. Stages: 0 entry, 1 the next hop to initialise, 2 back from initialising one, + // 3 pop the next completion, 4 back from extending the popped hop. + struct Frame { + std::size_t x; + std::int64_t i; + int stage; + std::int32_t k; + std::int64_t r; + }; + std::vector frames; + auto get = [&](std::size_t x0, std::int64_t i0) { + frames.assign(1, Frame {x0, i0, 0, 0, 0}); + bool ret = false; + while (!frames.empty()) { + const std::size_t top = frames.size() - 1; + Frame f = frames[top]; + switch (f.stage) { + case 0: + if (static_cast(list[f.x].size()) > f.i) { + ret = true; + frames.pop_back(); + } else if (ready[f.x] == 0) { + frames[top].stage = 1; + frames[top].k = out_off[f.x]; + } else { + frames[top].stage = 3; + } + break; + case 1: + if (f.k == out_off[f.x + 1]) { + ready[f.x] = 1; + frames[top].stage = 3; + } else { + frames[top].stage = 2; + frames.push_back({static_cast(hops[static_cast(out_hop[static_cast(f.k)])].head), 0, + 0, 0, 0}); + } + break; + case 2: + if (ret) offer(f.x, out_hop[static_cast(f.k)], 0); + frames[top].k = f.k + 1; + frames[top].stage = 1; + break; + case 3: { + auto& hx = heap[f.x]; + if (hx.empty()) { + ret = false; + frames.pop_back(); + break; + } + std::pop_heap(hx.begin(), hx.end(), after); + const Next c = hx.back(); + hx.pop_back(); + list[f.x].push_back({c.cost, c.hops, c.hop, c.rank}); + frames[top].stage = 4; + frames[top].k = c.hop; + frames[top].r = c.rank + 1; + frames.push_back({static_cast(hops[static_cast(c.hop)].head), c.rank + 1, 0, 0, 0}); + break; + } + default: // 4 + if (ret) offer(f.x, f.k, f.r); + frames[top].stage = 0; + break; + } + } + return ret; + }; + const std::size_t s = local(src); + for (std::int64_t j = 0; !max_paths.has_value() || j < *max_paths; ++j) { + if (!get(s, j)) break; + std::vector> walk; + std::size_t x = s; + std::int64_t idx = j; + while (x != t) { + const Elem& e = list[x][static_cast(idx)]; + const Hop& h = hops[static_cast(e.hop)]; + walk.emplace_back(via.begin() + h.first, via.begin() + h.first + h.count); + x = static_cast(h.head); + idx = e.rank; + } + out.push_back(PathBuilder::of_hops(g, std::move(walk))); } - out.target_cost = std::nullopt; - if (live_roots.empty() || live_targets.empty()) return out; - const auto& src = direction == Direction::Forward ? live_roots : live_targets; - const auto& dst = direction == Direction::Forward ? live_targets : live_roots; + return out; +} + +} // namespace + +std::optional route_search(const Graph& g, const Gate& gate, const PathSelection& selection, NodeId src, + std::span dests) { + if (dests.empty()) return std::nullopt; + const PriorityValues values {&g, selection.priority, gate.residual}; + const PriorityFn prio = PriorityFn::of(values); + Lease lease(static_cast(g.num_nodes())); + Workspace& ws = lease.ws(); + for (NodeId t : dests) mark(ws, t, kTarget); + const NodeId roots[1] = {src}; + SearchIn in; + in.g = &g; + in.gate = gate; + in.roots = roots; + in.targets = true; + const Cost dstar = run(ws, in); + if (dstar == kInf) return std::nullopt; + const Emit em = emit_of(g, Direction::Forward, selection, prio); + prune(ws, em, dests, dstar); + SearchRoute out; + out.cost = dstar; if (selection.multipath) { - auto tight = tight_dag(g, member, src, dst); - if (tight.cost != kUnreachable) { - out.target_cost = tight.cost; - out.edges = std::move(tight.edges); + out.edges = ws.pruned; + } else { + const bool prefer = selection.tie_break == EdgeTieBreak::PreferHigherPriority; + auto walk = extract(ws, g, [&](NodeId v) { return ws.dist[static_cast(v)]; }, dstar, + prefer ? &prio : nullptr, nullptr); + out.edges = std::move(walk.edges); + } + std::sort(out.edges.begin(), out.edges.end()); + return out; +} + +SearchRoute support_route(const Graph& g, std::span support, NodeId src, std::span dests, + const PathSelection& selection, PriorityFn view) { + const auto row = g.row_offsets(); + const auto edst = g.edge_dst(); + const auto esrc = g.edge_src(); + const auto cost = g.cost(); + Lease lease(static_cast(g.num_nodes())); + Workspace& ws = lease.ws(); + for (NodeId t : dests) mark(ws, t, kTarget); + // The part of the support reachable from src: every walk of a support from one node has one + // cost to each node it reaches (the support is a reverse multipath DAG), so the order of the + // walk assigns each node its distance from src exactly. + auto& route = ws.pruned; + route.clear(); + ws.kept.clear(); + ws.stack.clear(); + mark(ws, src, kKeep); + ws.kept.push_back(src); + ws.touched.push_back(src); + ws.dist[static_cast(src)] = 0; + ws.stack.push_back(src); + Cost total = kInf; + while (!ws.stack.empty()) { + const NodeId u = ws.stack.back(); + ws.stack.pop_back(); + const auto ui = static_cast(u); + if ((ws.flags[ui] & kTarget) != 0) total = ws.dist[ui]; + auto it = std::lower_bound(support.begin(), support.end(), row[ui]); + for (; it != support.end() && *it < row[ui + 1]; ++it) { + route.push_back(*it); + const NodeId v = edst[static_cast(*it)]; + const auto vi = static_cast(v); + if ((ws.flags[vi] & kKeep) != 0) continue; + mark(ws, v, kKeep); + ws.kept.push_back(v); + ws.touched.push_back(v); + ws.dist[vi] = ws.dist[ui] + cost[static_cast(*it)]; + ws.stack.push_back(v); } - return out; } - const PriorityValues prio {&g, selection.priority, residual}; + SearchRoute out; + if (total == kInf) return out; // no destination reached (the roster excludes such a source) + std::sort(route.begin(), route.end()); const bool prefer = selection.tie_break == EdgeTieBreak::PreferHigherPriority; - auto path = canonical_path(g, member, src, dst, prefer ? &prio : nullptr); - if (path.has_value()) { - out.target_cost = path->cost; - out.edges = path->walk; - std::sort(out.edges.begin(), out.edges.end()); - out.path = std::move(path); + if (!selection.multi_edge) { + // One member per (u, v) by select_adjacency on the view (no gating: the support's members are + // all statically eligible). The members of a pair in the support have one cost, so they are + // consecutive in id order (B' ranks by (src, cost, dst, input)). + std::size_t w = 0; + for (std::size_t i = 0; i < route.size();) { + const auto ei = static_cast(route[i]); + EdgeId best = route[i]; + std::size_t j = i + 1; + for (; j < route.size() && esrc[static_cast(route[j])] == esrc[ei] && + edst[static_cast(route[j])] == edst[ei]; + ++j) { + if (replaces(g, route[j], best, prefer, view)) best = route[j]; + } + route[w++] = best; + i = j; + } + route.resize(w); } + out.cost = total; + if (selection.multipath) { + out.edges = route; + return out; + } + auto walk = extract(ws, g, [&](NodeId v) { return ws.dist[static_cast(v)]; }, total, + prefer ? &view : nullptr, nullptr); + out.edges = std::move(walk.edges); + std::sort(out.edges.begin(), out.edges.end()); return out; } -PredDAG static_support(const Graph& g, std::span roots, Direction direction, - const Eligibility* elig) { - const PathSelection full(EdgeTieBreak::Deterministic, EdgePriority::Capacity, true, true); - const auto out = spf(g, roots, direction, std::nullopt, full, std::nullopt, 1, elig); - return PredDAGBuilder::of_edges(g, out.edges); +PredDAG static_support(const Graph& g, std::span roots, Direction direction, const Eligibility* elig) { + const auto root_set = node_set(roots, g.num_nodes(), "roots"); + const auto live_roots = live(root_set, elig); + if (live_roots.empty()) return PredDAGBuilder::empty(g); + Lease lease(static_cast(g.num_nodes())); + Workspace& ws = lease.ws(); + SearchIn in; + in.g = &g; + in.gate.elig = elig; + in.direction = direction; + in.roots = live_roots; + (void)run(ws, in); + Emit em; + em.g = &g; + em.forward = direction == Direction::Forward; + return emit_full(ws, em); +} + +std::vector static_costs(const Graph& g, const Eligibility* elig, std::span dests, + std::span sources) { + std::vector out(sources.size(), kInf); + std::vector roots(dests.begin(), dests.end()); + std::sort(roots.begin(), roots.end()); + roots.erase(std::unique(roots.begin(), roots.end()), roots.end()); + roots = live(roots, elig); + if (roots.empty()) return out; + Lease lease(static_cast(g.num_nodes())); + Workspace& ws = lease.ws(); + SearchIn in; + in.g = &g; + in.gate.elig = elig; + in.direction = Direction::Reverse; + in.roots = roots; + in.lists = false; + (void)run(ws, in); + for (std::size_t i = 0; i < sources.size(); ++i) out[i] = ws.dist[static_cast(sources[i])]; + return out; +} + +void check_ceiling(const std::optional& ceiling) { + if (!ceiling.has_value()) return; + if (const auto* a = std::get_if(&*ceiling)) { + if (a->cost < 0) throw std::invalid_argument("max_path_cost Absolute cost must be >= 0 (got " + std::to_string(a->cost) + ")"); + return; + } + const double f = std::get(*ceiling).factor; + if (!(f >= 1.0) || !std::isfinite(f)) { + throw std::invalid_argument("max_path_cost Stretch factor must be finite and in [1, inf) (got " + std::to_string(f) + ")"); + } } } // namespace netgraph::core::detail @@ -435,4 +1247,204 @@ PathSelection::PathSelection(EdgeTieBreak tie_break_, EdgePriority priority_, bo detail::check_member(priority, "priority"); } +SpfOptions::SpfOptions(Direction direction_, PathSelection selection_) : direction(direction_), selection(selection_) { + detail::check_member(direction, "direction"); +} + +SpfResult spf(const Graph& g, std::span roots, const SpfOptions& opts, SpfQueue queue) { + using namespace detail; + check_member(opts.direction, "direction"); + check_selection(opts.selection); + check_member(queue, "queue"); + const auto root_set = node_set(roots, g.num_nodes(), "roots"); + std::vector target_set; + if (opts.targets.has_value()) { + target_set = node_set(*opts.targets, g.num_nodes(), "targets"); + check_disjoint(root_set, target_set, "roots", "targets"); + } else if (!opts.selection.multipath) { + throw std::invalid_argument("multipath = false requires targets (the single path joins a root to a target)"); + } + const std::span residual = opts.residual.value_or(std::span {}); + if (opts.residual.has_value()) check_residual(g, residual); + if (opts.min_residual < 1) { + throw std::invalid_argument("min_residual must be at least 1 unit (got " + std::to_string(opts.min_residual) + ")"); + } + if (opts.elig != nullptr && opts.elig->graph_uid() != g.uid()) { + throw std::invalid_argument("foreign Eligibility: built for another graph"); + } + const PriorityValues values {&g, opts.selection.priority, residual}; + const PriorityFn prio = PriorityFn::of(values); + const Emit em = emit_of(g, opts.direction, opts.selection, prio); + const auto live_roots = live(root_set, opts.elig); + SearchIn in; + in.g = &g; + in.gate = Gate {opts.elig, residual, opts.min_residual}; + in.direction = opts.direction; + in.queue = queue; + in.roots = live_roots; + if (!opts.targets.has_value()) { + const auto n = static_cast(g.num_nodes()); + if (live_roots.empty()) { + return SpfResult {std::vector(n, kUnreachable), PredDAGBuilder::empty(g), std::nullopt}; + } + Lease lease(n); + Workspace& ws = lease.ws(); + (void)run(ws, in); + std::vector costs(ws.dist.begin(), ws.dist.begin() + static_cast(n)); + PredDAG dag = emit_full(ws, em); + return SpfResult {std::move(costs), std::move(dag), std::nullopt}; + } + const auto live_targets = live(target_set, opts.elig); + if (live_roots.empty() || live_targets.empty()) return SpfResult {std::nullopt, PredDAGBuilder::empty(g), kUnreachable}; + Lease lease(static_cast(g.num_nodes())); + Workspace& ws = lease.ws(); + for (NodeId t : live_targets) mark(ws, t, kTarget); + in.targets = true; + const Cost dstar = run(ws, in); + if (dstar == kInf) return SpfResult {std::nullopt, PredDAGBuilder::empty(g), kUnreachable}; + prune(ws, em, live_targets, dstar); + if (opts.selection.multipath) return SpfResult {std::nullopt, PredDAGBuilder::of_edges(g, ws.pruned), dstar}; + // The walks run from the walk starts (Forward: the roots; Reverse: the targets) to the ends; + // the potential is the forward distance from the starts (Reverse: d* - the distance to the roots). + const bool prefer = opts.selection.tie_break == EdgeTieBreak::PreferHigherPriority; + Walk walk; + if (opts.direction == Direction::Forward) { + walk = extract(ws, g, [&](NodeId v) { return ws.dist[static_cast(v)]; }, dstar, + prefer ? &prio : nullptr, nullptr); + } else { + walk = extract(ws, g, [&](NodeId v) { return dstar - ws.dist[static_cast(v)]; }, dstar, + prefer ? &prio : nullptr, nullptr); + } + return SpfResult {std::nullopt, PredDAGBuilder::of_edges(g, walk.edges), dstar}; +} + + +KspOptions::KspOptions(std::int64_t k_, PathSelection selection_) : k(k_), selection(selection_) {} + +std::vector> ksp(const Graph& g, NodeId src, NodeId dst, const KspOptions& opts) { + using namespace detail; + check_selection(opts.selection); + const NodeId s1[1] = {src}; + const NodeId t1[1] = {dst}; + (void)node_set(s1, g.num_nodes(), "src"); + (void)node_set(t1, g.num_nodes(), "dst"); + check_disjoint(s1, t1, "src", "dst"); + if (opts.k < 1) throw std::invalid_argument("k must be >= 1 (got " + std::to_string(opts.k) + ")"); + check_ceiling(opts.max_path_cost); + const std::span residual = opts.residual.value_or(std::span {}); + if (opts.residual.has_value()) check_residual(g, residual); + if (opts.elig != nullptr && opts.elig->graph_uid() != g.uid()) { + throw std::invalid_argument("foreign Eligibility: built for another graph"); + } + std::vector> out; + if (opts.elig != nullptr && (!opts.elig->node_ok(src) || !opts.elig->node_ok(dst))) return out; + // The ceiling: Absolute(c), or Stretch(f) times the static shortest cost of the member graph + // under the Eligibility (residual ignored: the policy ceiling's baseline of 9.1); no static route + // gives []. + const auto* absolute = opts.max_path_cost.has_value() ? std::get_if(&*opts.max_path_cost) : nullptr; + const auto* stretch = opts.max_path_cost.has_value() ? std::get_if(&*opts.max_path_cost) : nullptr; + Cost base = 0; + if (stretch != nullptr) { + base = static_costs(g, opts.elig, t1, s1)[0]; + if (base == kUnreachable) return out; + } + auto within = [&](Cost c) { + if (absolute != nullptr) return c <= absolute->cost; + if (stretch != nullptr) return stretch_le(c, base, stretch->factor); + return true; + }; + const Gate gate {opts.elig, residual, 1}; // KSP gates a supplied residual at 1 unit + const PriorityValues values {&g, opts.selection.priority, residual}; + const PriorityFn prio = PriorityFn::of(values); + const bool prefer = opts.selection.tie_break == EdgeTieBreak::PreferHigherPriority; + // Yen deviations (APPROACH 6): the first path and every spur path are the canonical walk from + // the spur node under the spur's exclusions; roots are matched by edge prefix; a deviation bans + // the next edge of every accepted path with that prefix (Expand) or that transition (Collapse); + // the prefix's vertices are excluded; candidates live in an ordered set keyed by the tuple + // (structural deduplication). + struct Cand { + Cost cost {0}; + Priority bottleneck {0, 1, true}; + std::vector edges {}; + }; + struct CandLess { + bool prefer; + bool operator()(const Cand& a, const Cand& b) const { + if (a.cost != b.cost) return a.cost < b.cost; + if (prefer) { + const int c = compare(a.bottleneck, b.bottleneck); + if (c != 0) return c > 0; + } + if (a.edges.size() != b.edges.size()) return a.edges.size() < b.edges.size(); + return a.edges < b.edges; + } + }; + auto first = spur_walk(g, gate, opts.selection, prio, src, dst, {}, {}, nullptr); + if (!first.has_value() || !within(first->cost)) return out; + std::vector accepted; + accepted.push_back(Cand {first->cost, first->bottleneck, std::move(first->edges)}); + std::set candidates(CandLess {prefer}); + const auto edst = g.edge_dst(); + const auto cost = g.cost(); + std::vector nodes; + std::vector banned; + while (static_cast(accepted.size()) < opts.k) { + const std::vector last = accepted.back().edges; + nodes.assign(1, src); + for (EdgeId e : last) nodes.push_back(edst[static_cast(e)]); + Cost prefix_cost = 0; + Priority prefix_bottleneck {0, 1, true}; + for (std::size_t j = 0; j < last.size(); ++j) { + banned.clear(); + for (const auto& p : accepted) { + if (p.edges.size() > j && std::equal(last.begin(), last.begin() + static_cast(j), p.edges.begin())) { + banned.push_back(p.edges[j]); + } + } + const std::span excluded(nodes.data(), j); + auto sp = spur_walk(g, gate, opts.selection, prio, nodes[j], dst, excluded, banned, + prefer && j > 0 ? &prefix_bottleneck : nullptr); + if (sp.has_value()) { + Cand c; + c.cost = prefix_cost + sp->cost; + c.bottleneck = compare(sp->bottleneck, prefix_bottleneck) < 0 ? sp->bottleneck : prefix_bottleneck; + c.edges.assign(last.begin(), last.begin() + static_cast(j)); + c.edges.insert(c.edges.end(), sp->edges.begin(), sp->edges.end()); + // An accepted path never returns (its next edge after this prefix is banned); checked + // anyway, as the prototype does. + const bool known = std::any_of(accepted.begin(), accepted.end(), [&](const Cand& a) { return a.edges == c.edges; }); + if (!known) candidates.insert(std::move(c)); + } + prefix_cost += cost[static_cast(last[j])]; + if (prefer) { + const Priority pj = prio(last[j]); + if (compare(pj, prefix_bottleneck) < 0) prefix_bottleneck = pj; + } + } + if (candidates.empty()) break; + auto best = candidates.begin(); + if (!within(best->cost)) break; // every later path costs at least as much + accepted.push_back(*best); + candidates.erase(best); + } + out.reserve(accepted.size()); + for (auto& p : accepted) out.emplace_back(p.cost, PathBuilder::of_walk(g, p.edges)); + return out; +} + +std::vector resolve_to_paths(const Graph& g, const PredDAG& dag, NodeId src, NodeId dst, bool split_parallel_edges, + std::optional max_paths) { + using namespace detail; + if (dag.graph_uid() != g.uid()) throw std::invalid_argument("foreign PredDAG: built for another graph"); + const NodeId s1[1] = {src}; + const NodeId t1[1] = {dst}; + (void)node_set(s1, g.num_nodes(), "src"); + (void)node_set(t1, g.num_nodes(), "dst"); + check_disjoint(s1, t1, "src", "dst"); + if (max_paths.has_value() && *max_paths < 1) { + throw std::invalid_argument("max_paths must be >= 1 (got " + std::to_string(*max_paths) + ")"); + } + return enumerate_paths(g, dag, src, dst, split_parallel_edges, max_paths); +} + } // namespace netgraph::core diff --git a/tests/cpp/cost_only_creation_tests.cpp b/tests/cpp/cost_only_creation_tests.cpp new file mode 100644 index 0000000..0f0a89c --- /dev/null +++ b/tests/cpp/cost_only_creation_tests.cpp @@ -0,0 +1,535 @@ +// The CostOnly creation products in one pass (APPROACH 9.1, 10; task 1d-msd): cost_only_creation +// against the functions it replaces on the policy's path, kept as the reference (support_route's +// route, the record bundle of bundle_of, make_plan's plan and cost on that bundle), on random +// graphs for every source, selection and kernel: it answers exactly where that path's members are +// the whole route, with the same bundle (the support itself when the route is all of it), plan and +// cost. On crafted supports that break its preconditions (edges leaving a destination, dead ends, +// members below one unit, a cycle) it answers nothing or the reference's own result. Also +// lower_bound_from against std::lower_bound from every hint, and the plan's one block under copy +// and move. +#include + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/kernels.hpp" +#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/detail/traversal.hpp" +#include "test_utils.hpp" + +using namespace netgraph::core; +using namespace netgraph::core::test; +using namespace netgraph::core::detail; + +namespace { + +template +std::vector> vec(std::span v) { + return std::vector>(v.begin(), v.end()); +} + +void expect_same_plan(const KernelPlan& got, const KernelPlan& want, const std::string& where) { + EXPECT_EQ(got.placement, want.placement) << where; + EXPECT_EQ(got.admission, want.admission) << where; + EXPECT_EQ(got.src, want.src) << where; + EXPECT_EQ(vec(got.dsts), vec(want.dsts)) << where; + EXPECT_EQ(got.route, want.route) << where; + EXPECT_EQ(got.members, want.members) << where; + EXPECT_EQ(got.weights, want.weights) << where; + EXPECT_EQ(vec(got.topo), vec(want.topo)) << where; + EXPECT_EQ(vec(got.out_begin), vec(want.out_begin)) << where; + EXPECT_EQ(vec(got.out_end), vec(want.out_end)) << where; + EXPECT_EQ(vec(got.head_pos), vec(want.head_pos)) << where; + EXPECT_EQ(vec(got.terminal), vec(want.terminal)) << where; + EXPECT_EQ(got.src_out_begin, want.src_out_begin) << where; + EXPECT_EQ(got.src_out_end, want.src_out_end) << where; +} + +// The policy's CostOnly creation before task 1d-msd (flow_policy.cpp: cost_only_route, bundle_of, +// new_flow's plan_on): the reference the one-pass products must equal. +struct Reference { + std::vector route; + std::shared_ptr bundle; + KernelPlan plan; + Cost cost {kUnreachable}; +}; + +Reference reference(const Graph& g, const std::shared_ptr& support, NodeId src, + const std::vector& dsts, const PathSelection& sel, PriorityFn view, + const std::vector& W, FlowPlacement placement, Admission admission) { + Reference out; + auto r = support_route(g, PredDAGBuilder::ascending(*support), src, dsts, sel, view); + out.route = r.edges; + Cost cost = !sel.multipath && !r.edges.empty() ? r.cost : kUnreachable; + out.bundle = PredDAGBuilder::ascending(*support).size() == r.edges.size() + ? support + : std::make_shared(PredDAGBuilder::of_edges(g, r.edges)); + std::vector creation; + if (placement == FlowPlacement::Weighted && sel.priority == EdgePriority::Residual) { + for (EdgeId e : PredDAGBuilder::ascending(*out.bundle)) creation.push_back(W[static_cast(e)]); + } + const bool computed = cost == kUnreachable; + out.plan = make_plan(g, placement, admission, sel.priority, src, dsts, *out.bundle, creation, + computed ? &cost : nullptr); + out.cost = cost; + return out; +} + +struct Kernel { + FlowPlacement placement; + Admission admission; +}; + +const Kernel kKernels[] = {{FlowPlacement::MaxFlow, Admission::Lossless}, + {FlowPlacement::EqualBalanced, Admission::Lossless}, + {FlowPlacement::EqualBalanced, Admission::Lossy}, + {FlowPlacement::Weighted, Admission::Lossless}, + {FlowPlacement::Weighted, Admission::Lossy}}; + +std::vector selections() { + std::vector out; + for (auto tie : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { + for (auto prio : {EdgePriority::Capacity, EdgePriority::Residual, EdgePriority::Headroom}) { + for (bool mp : {true, false}) { + for (bool me : {true, false}) out.emplace_back(tie, prio, mp, me); + } + } + } + return out; +} + +// Random edges with many ties (costs 1 to 3, times `factor`), parallel bursts, capacities 0 to 4 +// units. +Graph random_graph(std::mt19937& rng, int n, int m, Cost factor = 1) { + std::vector edges; + while (static_cast(edges.size()) < m) { + const auto u = static_cast(rng() % static_cast(n)); + const auto v = static_cast(rng() % static_cast(n)); + const int copies = rng() % 4 == 0 ? 1 + static_cast(rng() % 3) : 1; + for (int c = 0; c < copies; ++c) { + edges.push_back({u, v, static_cast(rng() % 5), static_cast(1 + rng() % 3) * factor}); + } + } + return make_graph(n, edges); +} + +std::vector live(std::vector set, const Eligibility* elig) { + std::sort(set.begin(), set.end()); + set.erase(std::unique(set.begin(), set.end()), set.end()); + std::vector out; + for (NodeId v : set) { + if (elig == nullptr || elig->node_ok(v)) out.push_back(v); + } + return out; +} + +// The comparison on `trials` random graphs whose edge costs are 1 to 3 times `factor`: for every +// source, every one of the 24 selections and every legal kernel, the one pass answers exactly where +// the reference's members are its whole multipath route, with the same bundle (the support itself +// when the route is all of it), every plan array and the exact cost. +struct Tally { + long made {0}; + long shared {0}; + long collapsed {0}; + long weighted {0}; + long anycast {0}; + long declined {0}; + long beyond_int32 {0}; // answers whose route cost exceeds INT32_MAX +}; + +Tally compare_with_reference(std::mt19937& rng, int trials, Cost factor) { + const auto sels = selections(); + Tally t; + for (int trial = 0; trial < trials; ++trial) { + const int n = 2 + static_cast(rng() % 10); + const Graph g = random_graph(rng, n, static_cast(rng() % 40), factor); + std::optional elig; + if (rng() % 3 == 0) { + std::vector xn; + std::vector xe; + if (rng() % 2 == 0) xn.push_back(static_cast(rng() % static_cast(n))); + for (int k = 0; k < 2 && g.num_edges() > 0; ++k) xe.push_back(static_cast(rng() % static_cast(g.num_edges()))); + elig = g.eligibility(xn, xe); + } + const Eligibility* el = elig ? &*elig : nullptr; + std::vector D; + for (std::size_t k = 1 + rng() % 3; k > 0; --k) D.push_back(static_cast(rng() % static_cast(n))); + const auto dset = live(D, nullptr); + const auto dsts = live(D, el); + if (dsts.empty()) continue; + const auto support = std::make_shared(static_support(g, dset, Direction::Reverse, el)); + std::vector W(static_cast(g.num_edges())); + for (std::size_t e = 0; e < W.size(); ++e) { + const Amount cap = g.capacity_units()[e]; + W[e] = cap == 0 ? 0 : static_cast(rng() % static_cast(cap + 1)); + } + for (NodeId src = 0; src < n; ++src) { + if (std::binary_search(dset.begin(), dset.end(), src)) continue; + for (const auto& sel : sels) { + const PriorityValues values {&g, sel.priority, W}; + const PriorityFn view = PriorityFn::of(values); + for (const auto& k : kKernels) { + if (k.placement == FlowPlacement::Weighted && sel.priority == EdgePriority::Headroom) continue; + const std::string where = "factor " + std::to_string(factor) + " trial " + std::to_string(trial) + " src " + std::to_string(src) + " kernel " + + std::to_string(static_cast(k.placement)) + "/" + + std::to_string(static_cast(k.admission)) + " sel " + + std::to_string(static_cast(sel.tie_break)) + + std::to_string(static_cast(sel.priority)) + std::to_string(sel.multipath) + + std::to_string(sel.multi_edge); + const auto want = reference(g, support, src, dsts, sel, view, W, k.placement, k.admission); + const auto got = cost_only_creation(g, support, src, dsts, sel, view, k.placement, k.admission); + // It answers exactly where the reference's members are its whole multipath route under a + // kernel of static membership (on a valid support that is every route that exists). + const bool applies = sel.multipath && + !(k.placement == FlowPlacement::Weighted && sel.priority == EdgePriority::Residual) && + !want.route.empty(); + EXPECT_EQ(got.has_value(), applies) << where; + if (got.has_value() != applies) return t; + if (!got.has_value()) { + ++t.declined; + continue; + } + EXPECT_EQ(want.plan.members, want.route) << where; // the precondition the shortcut checks + EXPECT_TRUE(got->bundle) << where; + if (!got->bundle) return t; + EXPECT_TRUE(*got->bundle == *want.bundle) << where; + EXPECT_EQ(vec(PredDAGBuilder::ascending(*got->bundle)), want.route) << where; + EXPECT_EQ(got->bundle == support, want.bundle == support) << where; // the same shared value + expect_same_plan(got->plan, want.plan, where); + EXPECT_EQ(got->cost, want.cost) << where; + ++t.made; + if (want.bundle == support) ++t.shared; + if (!sel.multi_edge && want.route.size() < PredDAGBuilder::ascending(*support).size()) ++t.collapsed; + if (k.placement == FlowPlacement::Weighted) ++t.weighted; + if (dsts.size() > 1) ++t.anycast; + if (want.cost > std::numeric_limits::max()) ++t.beyond_int32; + if (::testing::Test::HasFailure()) return t; + } + } + } + } + return t; +} + +} // namespace + +TEST(CostOnlyCreation, LowerBoundFromEveryHintIsStdLowerBound) { + std::mt19937 rng(20261007); + int checked = 0; + for (int trial = 0; trial < 400; ++trial) { + const auto n = static_cast(rng() % 140); + std::vector a(n); + EdgeId x = static_cast(rng() % 3); + for (auto& v : a) { + v = x; + x += 1 + static_cast(rng() % 4); + } + const EdgeId top = n == 0 ? 3 : a.back() + 3; + for (EdgeId key = -2; key <= top; ++key) { + const auto want = static_cast(std::lower_bound(a.begin(), a.end(), key) - a.begin()); + for (std::size_t hint = 0; hint <= n + 3; ++hint) { + ASSERT_EQ(lower_bound_from(a, hint, key), want) << "n " << n << " key " << key << " hint " << hint; + ++checked; + } + } + } + EXPECT_GT(checked, 100000); +} + +TEST(CostOnlyCreation, EqualsTheReferenceForEverySourceSelectionAndKernel) { + std::mt19937 rng(1007); + const Tally t = compare_with_reference(rng, 300, 1); + // Not vacuous: every branch of the one pass was compared, and the declined inputs too. + EXPECT_GT(t.made, 20000); + EXPECT_GT(t.shared, 500); + EXPECT_GT(t.collapsed, 2000); + EXPECT_GT(t.weighted, 4000); + EXPECT_GT(t.anycast, 4000); + EXPECT_GT(t.declined, 20000); +} + +TEST(CostOnlyCreation, WideCostsEqualTheReference) { + // Repeat the reference comparison with factors 3, 64 and 2^35. These cases catch the + // int32 output truncation; with 2^35 every answered cost exceeds INT32_MAX. + // They do not cover every narrower representation: a 48-bit output mask survives. + for (const Cost factor : {Cost {3}, Cost {64}, Cost {1} << 35}) { + std::mt19937 rng(static_cast(2000 + factor % 997)); + const Tally t = compare_with_reference(rng, 120, factor); + if (::testing::Test::HasFailure()) return; + EXPECT_GT(t.made, 7000) << "factor " << factor; + EXPECT_GT(t.shared, 150) << "factor " << factor; + EXPECT_GT(t.collapsed, 700) << "factor " << factor; + EXPECT_GT(t.declined, 7000) << "factor " << factor; + if (factor == (Cost {1} << 35)) EXPECT_EQ(t.beyond_int32, t.made); + } +} + +TEST(CostOnlyCreation, ChainCostsBeyondInt32AreExact) { + // The review's witness (0 -> 1 -> 2, two edges of 2^35: the cost 2^36 = 68,719,476,736), a chain + // whose total 2,500,000,000 exceeds INT32_MAX without being a power of two, a diamond of 2^35 + // edges with a parallel pair, and a full-width chain of two edges of 2^60 + 1 (the cost + // 2^61 + 2, below the graph's 2^62 bound; a 48-bit output mask gives 2): the exact cost and every + // array, for every legal kernel, both multi_edge settings. + struct Chain { + std::int32_t n; + std::vector edges; + NodeId dst; + Cost cost; + }; + const Cost big = Cost {1} << 35; + const std::vector chains = { + {3, {{0, 1, 3, big}, {1, 2, 3, big}}, 2, Cost {68719476736}}, + {3, {{0, 1, 5, 1500000000}, {1, 2, 5, 1000000000}}, 2, Cost {2500000000}}, + {4, {{0, 1, 4, big}, {0, 2, 3, big}, {1, 3, 2, big}, {2, 3, 1, big}, {2, 3, 2, big}}, 3, 2 * big}, + {3, {{0, 1, 2, (Cost {1} << 60) + 1}, {1, 2, 2, (Cost {1} << 60) + 1}}, 2, Cost {2305843009213693954}}, + }; + int checked = 0; + for (const auto& c : chains) { + ASSERT_GT(c.cost, std::numeric_limits::max()); + const Graph g = make_graph(c.n, c.edges); + const std::vector dsts = {c.dst}; + const auto support = std::make_shared(static_support(g, dsts, Direction::Reverse, nullptr)); + const std::vector W(g.capacity_units().begin(), g.capacity_units().end()); + for (bool me : {true, false}) { + const PathSelection sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity, true, me); + const PriorityValues values {&g, sel.priority, W}; + for (const auto& k : kKernels) { + const std::string where = "chain cost " + std::to_string(c.cost) + " kernel " + + std::to_string(static_cast(k.placement)) + "/" + + std::to_string(static_cast(k.admission)) + " multi_edge " + std::to_string(me); + const auto want = reference(g, support, 0, dsts, sel, PriorityFn::of(values), W, k.placement, k.admission); + const auto got = + cost_only_creation(g, support, 0, dsts, sel, PriorityFn::of(values), k.placement, k.admission); + ASSERT_TRUE(got.has_value()) << where; + EXPECT_EQ(want.cost, c.cost) << where; + EXPECT_EQ(got->cost, c.cost) << where; + EXPECT_TRUE(*got->bundle == *want.bundle) << where; + EXPECT_EQ(vec(PredDAGBuilder::ascending(*got->bundle)), want.route) << where; + EXPECT_EQ(got->bundle == support, want.bundle == support) << where; + expect_same_plan(got->plan, want.plan, where); + ++checked; + } + } + } + EXPECT_EQ(checked, 4 * 2 * 5); +} + +TEST(CostOnlyCreation, LargerGraphsAndTheSupportItself) { + // Larger fabrics (Clos and random) where the walk crosses many ranges: every source to one and + // to two destinations, the EB and MaxFlow kernels, with and without Collapse. + std::mt19937 rng(7); + long made = 0; + for (int shape = 0; shape < 4; ++shape) { + Graph g = [&] { + if (shape < 2) { + std::vector edges; + const int leaves = shape == 0 ? 12 : 20; + const int spines = shape == 0 ? 6 : 8; + for (int u = 0; u < leaves; ++u) { + for (int s = 0; s < spines; ++s) { + const Amount cap = static_cast(1 + rng() % 9); + for (int copy = 0; copy < (rng() % 5 == 0 ? 2 : 1); ++copy) { + edges.push_back({u, leaves + s, cap, 1}); + edges.push_back({leaves + s, u, cap, 1}); + } + } + } + return make_graph(leaves + spines, edges); + } + return random_graph(rng, 200, 2400); + }(); + const int n = g.num_nodes(); + std::vector W(g.capacity_units().begin(), g.capacity_units().end()); + for (int q = 0; q < 6; ++q) { + std::vector D = {static_cast(rng() % static_cast(n))}; + if (q % 2 == 1) D.push_back(static_cast(rng() % static_cast(n))); + const auto dsts = live(D, nullptr); + const auto support = std::make_shared(static_support(g, dsts, Direction::Reverse, nullptr)); + for (NodeId src = 0; src < n; src += (n > 50 ? 7 : 1)) { + if (std::binary_search(dsts.begin(), dsts.end(), src)) continue; + for (bool me : {true, false}) { + const PathSelection sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity, true, me); + const PriorityValues values {&g, sel.priority, W}; + for (auto placement : {FlowPlacement::EqualBalanced, FlowPlacement::MaxFlow}) { + const auto want = reference(g, support, src, dsts, sel, PriorityFn::of(values), W, placement, + Admission::Lossless); + const auto got = cost_only_creation(g, support, src, dsts, sel, PriorityFn::of(values), placement, + Admission::Lossless); + ASSERT_EQ(got.has_value(), !want.route.empty()); + if (!got) continue; + EXPECT_TRUE(*got->bundle == *want.bundle); + EXPECT_EQ(got->bundle == support, want.bundle == support); + expect_same_plan(got->plan, want.plan, "shape " + std::to_string(shape) + " src " + std::to_string(src)); + EXPECT_EQ(got->cost, want.cost); + ++made; + } + } + } + } + } + EXPECT_GT(made, 300); +} + +TEST(CostOnlyCreation, CraftedSupportsGiveNothingOrTheReference) { + // Acyclic edge sets that are no static support: edges leaving a destination, nodes that reach no + // destination, members below one unit. The one pass declines them or equals the reference. + std::mt19937 rng(99); + long made = 0; + long declined = 0; + for (int trial = 0; trial < 1500; ++trial) { + const int n = 3 + static_cast(rng() % 8); + const Graph g = random_graph(rng, n, 4 + static_cast(rng() % 30)); + std::vector perm(static_cast(n)); + std::iota(perm.begin(), perm.end(), 0); + std::shuffle(perm.begin(), perm.end(), rng); + std::vector rank(static_cast(n)); + for (int i = 0; i < n; ++i) rank[static_cast(perm[static_cast(i)])] = i; + std::vector chosen; + for (EdgeId e = 0; e < g.num_edges(); ++e) { + const auto u = g.edge_src()[static_cast(e)]; + const auto v = g.edge_dst()[static_cast(e)]; + if (rank[static_cast(u)] < rank[static_cast(v)] && rng() % 4 != 0) chosen.push_back(e); + } + const auto support = std::make_shared(PredDAGBuilder::of_edges(g, chosen)); + const NodeId src = perm.front(); + std::vector dsts = {perm.back()}; + if (n > 4 && rng() % 2 == 0) dsts.push_back(perm[static_cast(n / 2)]); // may have out-edges + std::sort(dsts.begin(), dsts.end()); + std::vector W(g.capacity_units().begin(), g.capacity_units().end()); + for (bool me : {true, false}) { + const PathSelection sel(EdgeTieBreak::Deterministic, EdgePriority::Capacity, true, me); + const PriorityValues values {&g, sel.priority, W}; + for (const auto& k : kKernels) { + const auto want = reference(g, support, src, dsts, sel, PriorityFn::of(values), W, k.placement, k.admission); + const auto got = + cost_only_creation(g, support, src, dsts, sel, PriorityFn::of(values), k.placement, k.admission); + const std::string where = "trial " + std::to_string(trial); + if (!got.has_value()) { + ++declined; + continue; + } + EXPECT_TRUE(*got->bundle == *want.bundle) << where; + EXPECT_EQ(got->bundle == support, want.bundle == support) << where; + expect_same_plan(got->plan, want.plan, where); + EXPECT_EQ(got->cost, want.cost) << where; + ++made; + if (::testing::Test::HasFailure()) return; + } + } + } + EXPECT_GT(made, 1000); + EXPECT_GT(declined, 1000); +} + +TEST(CostOnlyCreation, DeclinesEachBrokenPrecondition) { + // 0 -> 1 -> 3 and 0 -> 2 -> 3, destination 3: the reference keeps the whole route, and so does + // the one pass. Each variant breaks one precondition; the one pass then answers nothing (the + // reference's members differ from its route, or it throws). + const Graph g = make_graph(6, {{0, 1, 2, 1}, {0, 2, 2, 1}, {1, 3, 2, 1}, {2, 3, 2, 1}, {3, 4, 2, 1}, + {1, 5, 2, 1}, {2, 1, 2, 1}, {1, 2, 0, 1}}); + const auto inv = id_of_input(g); + const std::vector dsts = {3}; + const std::vector W(g.capacity_units().begin(), g.capacity_units().end()); + const PathSelection sel(EdgeTieBreak::Deterministic, EdgePriority::Capacity, true, true); + const PriorityValues values {&g, sel.priority, W}; + auto run = [&](std::vector edges, FlowPlacement placement) { + for (auto& e : edges) e = inv[static_cast(e)]; + std::sort(edges.begin(), edges.end()); + const auto support = std::make_shared(PredDAGBuilder::of_edges(g, edges)); + return std::make_pair(support, cost_only_creation(g, support, 0, dsts, sel, PriorityFn::of(values), placement, + Admission::Lossless)); + }; + { + const auto [support, got] = run({0, 1, 2, 3}, FlowPlacement::EqualBalanced); + ASSERT_TRUE(got.has_value()); + EXPECT_EQ(got->bundle, support); // the route is the whole support + EXPECT_EQ(got->cost, 2); + EXPECT_EQ(vec(got->plan.topo), (std::vector {0, 1, 2, 3})); + } + // An edge leaving the destination (3 -> 4). + EXPECT_FALSE(run({0, 1, 2, 3, 4}, FlowPlacement::EqualBalanced).second.has_value()); + // A node that reaches no destination (1 -> 5). + EXPECT_FALSE(run({0, 1, 2, 3, 5}, FlowPlacement::EqualBalanced).second.has_value()); + // A member below one unit (1 -> 2 has no capacity): declined for EB, kept by MaxFlow. + EXPECT_FALSE(run({0, 1, 2, 3, 7}, FlowPlacement::EqualBalanced).second.has_value()); + EXPECT_TRUE(run({0, 1, 2, 3, 7}, FlowPlacement::MaxFlow).second.has_value()); + // A cycle (1 -> 2 -> 1): declined, and the reference throws. + { + const auto [support, got] = run({0, 1, 2, 3, 6, 7}, FlowPlacement::MaxFlow); + EXPECT_FALSE(got.has_value()); + EXPECT_THROW((void)reference(g, support, 0, dsts, sel, PriorityFn::of(values), W, FlowPlacement::MaxFlow, + Admission::Lossless), + std::logic_error); + } + // Not applicable: multipath = false, Weighted with Residual priority, no destination reached. + { + std::vector edges = {inv[0], inv[1], inv[2], inv[3]}; + std::sort(edges.begin(), edges.end()); + const auto support = std::make_shared(PredDAGBuilder::of_edges(g, edges)); + const PathSelection single(EdgeTieBreak::Deterministic, EdgePriority::Capacity, false, true); + EXPECT_FALSE(cost_only_creation(g, support, 0, dsts, single, PriorityFn::of(values), FlowPlacement::EqualBalanced, + Admission::Lossless) + .has_value()); + const PathSelection residual(EdgeTieBreak::Deterministic, EdgePriority::Residual, true, true); + EXPECT_FALSE(cost_only_creation(g, support, 0, dsts, residual, PriorityFn::of(values), FlowPlacement::Weighted, + Admission::Lossless) + .has_value()); + EXPECT_FALSE(cost_only_creation(g, support, 0, std::vector {5}, sel, PriorityFn::of(values), + FlowPlacement::EqualBalanced, Admission::Lossless) + .has_value()); + } +} + +TEST(KernelPlanBlock, CopiesAndMovesKeepTheirOwnViews) { + const Graph g = make_graph(4, {{0, 1, 3, 1}, {0, 2, 2, 1}, {1, 3, 3, 1}, {2, 3, 2, 1}}); + std::vector all(4); + std::iota(all.begin(), all.end(), 0); + const auto dag = PredDAGBuilder::of_edges(g, all); + const std::vector dsts = {3}; + const KernelPlan original = + make_plan(g, FlowPlacement::Weighted, Admission::Lossless, EdgePriority::Capacity, 0, dsts, dag, {}); + ASSERT_EQ(original.topo.size(), 4U); + ASSERT_EQ(original.head_pos.size(), 4U); + ASSERT_EQ(vec(original.dsts), dsts); + // A copy's views point into its own block (none into the source's), and stay valid once the + // source is gone. + auto own_block = [](const KernelPlan& a, const KernelPlan& b) { + return a.dsts.data() != b.dsts.data() && a.topo.data() != b.topo.data() && + a.out_begin.data() != b.out_begin.data() && a.out_end.data() != b.out_end.data() && + a.head_pos.data() != b.head_pos.data() && a.terminal.data() != b.terminal.data(); + }; + std::optional source(original); + const KernelPlan copy(*source); + EXPECT_TRUE(own_block(copy, *source)); + source.reset(); + expect_same_plan(copy, original, "copy"); + KernelPlan donor(copy); + KernelPlan moved(std::move(donor)); + expect_same_plan(moved, original, "move"); + EXPECT_TRUE(donor.topo.empty() && donor.dsts.empty() && donor.head_pos.empty() && donor.terminal.empty()); + KernelPlan assigned; + assigned = copy; + expect_same_plan(assigned, original, "copy assignment"); + EXPECT_TRUE(own_block(assigned, copy)); + KernelPlan target = make_plan(g, FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Capacity, 1, dsts, + dag, {}); + target = std::move(moved); + expect_same_plan(target, original, "move assignment"); + EXPECT_TRUE(moved.topo.empty() && moved.dsts.empty() && moved.head_pos.empty() && moved.terminal.empty()); + const KernelPlan& self = target; + target = self; + expect_same_plan(target, original, "self assignment"); + const KernelPlan empty; + const KernelPlan empty_copy(empty); + EXPECT_TRUE(empty_copy.dsts.empty() && empty_copy.topo.empty() && empty_copy.members.empty()); +} diff --git a/tests/cpp/dag_cache_tests.cpp b/tests/cpp/dag_cache_tests.cpp new file mode 100644 index 0000000..acd1148 --- /dev/null +++ b/tests/cpp/dag_cache_tests.cpp @@ -0,0 +1,477 @@ +// The DagCache's modes (APPROACH 10): the transition table (building and frozen lookups, freeze, +// clear, thaw, destruction), the statistics (a frozen miss counts one miss), DagCacheMiss as a +// dedicated exception, frozen hits from several threads, and the evaluators' sharing rules +// (section 11): a frozen cache shared by every worker, a building one rejected with two or more, +// DagCacheMiss propagated unchanged through batch_capacity and sensitivity, the reuse of a +// prepopulated Eligibility through an unchanged intersection, and the deletion-mode sensitivity +// with a supplied frozen cache. The thread cases are named DagCacheFrozen* (the TSan filter). +#include + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/dag_cache.hpp" +#include "netgraph/core/evaluators.hpp" +#include "netgraph/core/flow_policy.hpp" +#include "test_utils.hpp" + +using namespace netgraph::core; +using namespace netgraph::core::test; + +static_assert(!std::is_base_of_v); +static_assert(!std::is_base_of_v); +static_assert(std::is_base_of_v); +static_assert(std::is_nothrow_copy_constructible_v); + +namespace { + +// A small two-tier fabric: leaves 0..5, spines 6..8, every leaf joined to every spine both ways. +std::shared_ptr fabric() { + std::vector e; + for (NodeId l = 0; l < 6; ++l) { + for (NodeId s = 6; s < 9; ++s) { + e.push_back({l, s, 4, 1}); + e.push_back({s, l, 4, 1}); + } + } + return std::make_shared(make_graph(9, e)); +} + +std::vector v(std::initializer_list x) { return x; } + +FlowPolicyConfig costonly() { + return FlowPolicyConfig {CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, + PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)}; +} + +FlowPolicyConfig global() { + return FlowPolicyConfig {Global {}, FlowPlacement::MaxFlow, Admission::Lossless, + PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)}; +} + +std::string miss_of(const std::function& fn) { + try { + fn(); + } catch (const DagCacheMiss& e) { + return e.what(); + } + return ""; +} + +} // namespace + +TEST(DagCacheModes, TransitionTableAndStatistics) { + const auto g = fabric(); + DagCache cache(*g); + // Building: a miss searches and inserts, a hit returns the same value. + const auto a = cache.lookup(*g, v({1, 0}), Direction::Reverse, nullptr); + const auto a2 = cache.lookup(*g, v({0, 1}), Direction::Reverse, nullptr); + EXPECT_EQ(a.get(), a2.get()); + auto st = cache.stats(); + EXPECT_EQ(st.misses, 1); + EXPECT_EQ(st.hits, 1); + EXPECT_EQ(st.entries, 1); + // Frozen: hits return the value; a miss counts one miss, inserts nothing, throws DagCacheMiss. + cache.freeze(); + cache.freeze(); // idempotent + EXPECT_EQ(cache.lookup(*g, v({0, 1}), Direction::Reverse, nullptr).get(), a.get()); + const auto msg = miss_of([&] { (void)cache.lookup(*g, v({2}), Direction::Forward, nullptr); }); + EXPECT_EQ(msg, "DagCache: the frozen cache has no entry for roots {2}, direction Forward, Eligibility uid 0 (a frozen " + "cache never searches)"); + st = cache.stats(); + EXPECT_EQ(st.misses, 2); + EXPECT_EQ(st.hits, 2); + EXPECT_EQ(st.entries, 1); + // Invalid queries throw std::invalid_argument and count nothing, in frozen mode too. + const auto other = fabric(); + EXPECT_THROW((void)cache.lookup(*other, v({0}), Direction::Reverse, nullptr), std::invalid_argument); + EXPECT_THROW((void)cache.lookup(*g, v({}), Direction::Reverse, nullptr), std::invalid_argument); + EXPECT_THROW((void)cache.lookup(*g, v({9}), Direction::Reverse, nullptr), std::invalid_argument); + EXPECT_EQ(cache.stats().misses, 2); + EXPECT_EQ(cache.stats().hits, 2); + // clear() throws when frozen and keeps the entries. + try { + cache.clear(); + FAIL() << "clear() on a frozen cache"; + } catch (const std::invalid_argument& e) { + EXPECT_EQ(std::string(e.what()), + "DagCache.clear is rejected while the cache is frozen (join every reader, then thaw() and clear())"); + } + EXPECT_EQ(cache.stats().entries, 1); + // thaw(): building again; a miss searches and inserts, clear() empties (counters persist). + cache.thaw(); + cache.thaw(); // no effect when building + const auto b = cache.lookup(*g, v({2}), Direction::Forward, nullptr); + EXPECT_EQ(cache.stats().entries, 2); + cache.clear(); + st = cache.stats(); + EXPECT_EQ(st.entries, 0); + EXPECT_EQ(st.bytes, 0); + EXPECT_EQ(st.misses, 3); + EXPECT_EQ(st.hits, 2); + EXPECT_EQ(st.live_values, 2); // a and b are held by the test + // Held values stay valid after clear() and after a frozen cache is destroyed. + EXPECT_EQ(b->via_edges().size(), 18U); // roots {2} forward: three 2 -> spine edges, 15 spine -> leaf + EXPECT_EQ(a2->via_edges().size(), 18U); + std::shared_ptr c; + { + DagCache frozen(*g); + c = frozen.lookup(*g, v({3}), Direction::Reverse, nullptr); + frozen.freeze(); + } + // Roots {3}: the three spine -> 3 edges and the five other leaves' 15 leaf -> spine edges; + // roots {0, 1}: six spine -> root edges and the four other leaves' 12. + EXPECT_EQ(c->via_edges().size(), 18U); + EXPECT_EQ(a->via_edges().size(), 18U); +} + +TEST(DagCacheModes, RootsInAnyOrderShareOneEntryAndOneValidation) { + // Task 1d-msd: a lookup borrows roots that are already a sorted set (no copy on a hit) and + // normalises any other; either way the key is the sorted set, ordered by roots, then direction, + // then Eligibility uid, and the checks and their messages are node_set's. + const auto g = fabric(); + DagCache cache(*g); + const auto elig = g->eligibility(v({}), std::vector {0}); + const auto a = cache.lookup(*g, v({0, 2}), Direction::Reverse, nullptr); + for (const auto& roots : {v({2, 0}), v({0, 0, 2}), v({2, 2, 0, 2}), v({0, 2})}) { + EXPECT_EQ(cache.lookup(*g, roots, Direction::Reverse, nullptr).get(), a.get()); + } + EXPECT_EQ(cache.stats().misses, 1); + EXPECT_EQ(cache.stats().hits, 4); + // Keys that differ in a prefix, the length, the direction or the Eligibility uid are distinct + // entries, each found again by its own key in any order. + const std::vector, Direction, const Eligibility*>> keys = { + {v({0}), Direction::Reverse, nullptr}, {v({0, 1}), Direction::Reverse, nullptr}, + {v({0, 2, 3}), Direction::Reverse, nullptr}, {v({1}), Direction::Reverse, nullptr}, + {v({0, 2}), Direction::Forward, nullptr}, {v({0, 2}), Direction::Reverse, &elig}, + {v({8}), Direction::Forward, &elig}, {v({0, 1, 2, 3, 4, 5}), Direction::Reverse, nullptr}}; + std::vector> values; + for (const auto& [roots, dir, el] : keys) values.push_back(cache.lookup(*g, roots, dir, el)); + EXPECT_EQ(cache.stats().entries, 9); + EXPECT_EQ(cache.stats().misses, 9); + for (std::size_t i = 0; i < keys.size(); ++i) { + EXPECT_NE(values[i].get(), a.get()); + for (std::size_t j = 0; j < i; ++j) EXPECT_NE(values[i].get(), values[j].get()); + } + for (std::size_t i = keys.size(); i-- > 0;) { + auto roots = std::get<0>(keys[i]); + std::reverse(roots.begin(), roots.end()); + EXPECT_EQ(cache.lookup(*g, roots, std::get<1>(keys[i]), std::get<2>(keys[i])).get(), values[i].get()); + } + EXPECT_EQ(cache.stats().misses, 9); + EXPECT_EQ(cache.stats().hits, 4 + static_cast(keys.size())); + // The checks in node_set's order, sorted or not: empty, then the first id out of range in input + // order; nothing counted. + auto error_of = [&](std::vector roots) { + try { + (void)cache.lookup(*g, roots, Direction::Reverse, nullptr); + } catch (const std::invalid_argument& e) { + return std::string(e.what()); + } + return std::string(); + }; + const auto before = cache.stats(); + EXPECT_EQ(error_of(v({9})), "roots: node 9 out of node range [0, 9)"); + EXPECT_EQ(error_of(v({3, 9})), "roots: node 9 out of node range [0, 9)"); + EXPECT_EQ(error_of(v({9, 3})), "roots: node 9 out of node range [0, 9)"); + EXPECT_EQ(error_of(v({-1, 9})), "roots: node -1 out of node range [0, 9)"); + EXPECT_EQ(error_of(v({9, -1})), "roots: node 9 out of node range [0, 9)"); + EXPECT_EQ(error_of(v({3, 3, 12})), "roots: node 12 out of node range [0, 9)"); + EXPECT_FALSE(error_of(v({})).empty()); + const auto after = cache.stats(); + EXPECT_EQ(after.misses, before.misses); + EXPECT_EQ(after.hits, before.hits); + EXPECT_EQ(after.entries, before.entries); + // A frozen miss names the sorted set, borrowed or normalised. + cache.freeze(); + const std::string want = "DagCache: the frozen cache has no entry for roots {1, 4}, direction Reverse, Eligibility uid " + "0 (a frozen cache never searches)"; + EXPECT_EQ(miss_of([&] { (void)cache.lookup(*g, v({1, 4}), Direction::Reverse, nullptr); }), want); + EXPECT_EQ(miss_of([&] { (void)cache.lookup(*g, v({4, 1, 4}), Direction::Reverse, nullptr); }), want); + EXPECT_EQ(cache.stats().misses, 11); +} + +TEST(DagCacheModes, MissIsADedicatedException) { + const auto g = fabric(); + DagCache cache(*g); + cache.freeze(); + bool as_miss = false; + try { + (void)cache.lookup(*g, v({0}), Direction::Reverse, nullptr); + } catch (const std::runtime_error&) { + FAIL() << "DagCacheMiss caught as std::runtime_error"; + } catch (const std::logic_error&) { + FAIL() << "DagCacheMiss caught as std::logic_error"; + } catch (const DagCacheMiss&) { + as_miss = true; + } + EXPECT_TRUE(as_miss); +} + +namespace { + +// Frozen hits from `threads` threads at once over prepopulated keys; every value is the +// prepopulated one and every hit is counted. +void frozen_readers(int threads) { + const auto g = fabric(); + DagCache cache(*g); + std::vector> want; + for (NodeId r = 0; r < 9; ++r) want.push_back(cache.lookup(*g, v({r}), Direction::Reverse, nullptr)); + cache.freeze(); + const auto before = cache.stats(); + std::atomic wrong {0}; + std::vector pool; + constexpr int kRounds = 200; + for (int t = 0; t < threads; ++t) { + pool.emplace_back([&, t] { + for (int round = 0; round < kRounds; ++round) { + const NodeId r = static_cast((round + t) % 9); + const NodeId roots[1] = {r}; + if (cache.lookup(*g, roots, Direction::Reverse, nullptr).get() != want[static_cast(r)].get()) ++wrong; + } + }); + } + for (auto& th : pool) th.join(); + EXPECT_EQ(wrong.load(), 0); + const auto after = cache.stats(); + EXPECT_EQ(after.hits - before.hits, static_cast(threads) * kRounds); + EXPECT_EQ(after.misses, before.misses); + EXPECT_EQ(after.entries, 9); + // Joined: thaw and build again. + cache.thaw(); + (void)cache.lookup(*g, v({0, 1}), Direction::Reverse, nullptr); + EXPECT_EQ(cache.stats().entries, 10); +} + +} // namespace + +TEST(DagCacheFrozen, HitsFromOneThread) { frozen_readers(1); } +TEST(DagCacheFrozen, HitsFromTwoThreads) { frozen_readers(2); } +TEST(DagCacheFrozen, HitsFromFourThreads) { frozen_readers(4); } + +TEST(DagCacheFrozen, SharedByEveryWorkerOfABatch) { + const auto g = fabric(); + const std::vector, std::vector>> pairs = { + {v({0}), v({3})}, {v({1}), v({4})}, {v({2}), v({5})}, {v({0, 1}), v({3, 4})}}; + const auto want = batch_capacity(*g, pairs, CapacityOptions {costonly()}, {}, 1); + for (int workers : {1, 2, 4}) { + DagCache cache(*g); + for (const auto& [s, t] : pairs) (void)cache.lookup(*g, t, Direction::Reverse, nullptr); + // A building cache with two or more workers is rejected; frozen, it is shared. + if (workers > 1) { + EXPECT_THROW((void)batch_capacity(*g, pairs, CapacityOptions {costonly(), nullptr, &cache}, {}, workers), + std::invalid_argument); + } + cache.freeze(); + const auto before = cache.stats(); + const auto got = batch_capacity(*g, pairs, CapacityOptions {costonly(), nullptr, &cache}, {}, workers); + ASSERT_EQ(got.size(), want.size()); + for (std::size_t i = 0; i < got.size(); ++i) EXPECT_EQ(got[i].placed, want[i].placed) << workers; + EXPECT_EQ(cache.stats().hits - before.hits, static_cast(pairs.size())); + EXPECT_EQ(cache.stats().misses, before.misses); + } +} + +TEST(DagCacheFrozen, MissPropagatesThroughBatchCapacity) { + // An empty frozen cache: every pair misses; the lowest index's DagCacheMiss reaches the caller + // unchanged, with one worker and with several. + const auto g = fabric(); + const std::vector, std::vector>> pairs = {{v({0}), v({3})}, {v({1}), v({4})}, + {v({2}), v({5})}}; + for (int workers : {1, 2, 4}) { + DagCache cache(*g); + (void)cache.lookup(*g, v({4}), Direction::Reverse, nullptr); // only pair 1's key + cache.freeze(); + const auto msg = miss_of([&] { (void)batch_capacity(*g, pairs, CapacityOptions {costonly(), nullptr, &cache}, {}, workers); }); + EXPECT_NE(msg.find("roots {3}"), std::string::npos) << workers << ": " << msg; // pair 0, the lowest index + } +} + +TEST(DagCacheFrozen, PerPairIntersectionsAndPrepopulatedUids) { + // APPROACH 10: an intersection equal to an operand returns that operand (its uid), so the + // prepopulated key hits; one that differs from both operands gets a fresh uid and misses. + const auto g = fabric(); + const EdgeId e0[1] = {0}; + const EdgeId e01[2] = {0, 1}; + const EdgeId e1[1] = {1}; + const auto common = g->eligibility({}, e0); // excludes edge 0 + const auto narrow = g->eligibility({}, e01); // excludes 0 and 1: contained in common + const auto other = g->eligibility({}, e1); // excludes 1: neither contains the other + const std::vector, std::vector>> pairs = {{v({1}), v({4})}, {v({2}), v({5})}}; + DagCache cache(*g); + (void)cache.lookup(*g, v({4}), Direction::Reverse, &narrow); + (void)cache.lookup(*g, v({5}), Direction::Reverse, &common); + (void)cache.lookup(*g, v({4}), Direction::Reverse, &common); + cache.freeze(); + const auto hits = [&] { return cache.stats().hits; }; + // A common value containing the per-pair one: intersect returns the per-pair operand. + auto before = hits(); + const std::vector contained = {&narrow, nullptr}; + EXPECT_EQ(batch_capacity(*g, pairs, CapacityOptions {costonly(), &common, &cache}, contained, 2).size(), 2U); + EXPECT_EQ(hits() - before, 2); + // An unchanged intersection (the operand itself) and already-effective values with a null + // common value. + before = hits(); + const std::vector same = {&common, &common}; + EXPECT_EQ(batch_capacity(*g, pairs, CapacityOptions {costonly(), &common, &cache}, same, 2).size(), 2U); + const std::vector own = {&narrow, &common}; + EXPECT_EQ(batch_capacity(*g, pairs, CapacityOptions {costonly(), nullptr, &cache}, own, 2).size(), 2U); + EXPECT_EQ(hits() - before, 4); + // An intersection that differs from both operands: a fresh uid, absent from the cache. + const auto misses = cache.stats().misses; + const std::vector changed = {&other, nullptr}; + const auto msg = miss_of([&] { (void)batch_capacity(*g, pairs, CapacityOptions {costonly(), &common, &cache}, changed, 2); }); + EXPECT_NE(msg.find("roots {4}"), std::string::npos) << msg; + EXPECT_EQ(msg.find("uid " + std::to_string(common.uid()) + " "), std::string::npos) << msg; + EXPECT_EQ(msg.find("uid " + std::to_string(other.uid()) + " "), std::string::npos) << msg; + EXPECT_EQ(cache.stats().misses - misses, 1); + EXPECT_EQ(cache.stats().entries, 3); +} + +TEST(DagCacheFrozen, MissPropagatesThroughSensitivityNeverAsUnevaluable) { + // CostOnly sensitivity evaluates each candidate under a new Eligibility (a new uid): with a + // frozen cache holding only the baseline's key, the first re-evaluated deletion misses and the + // miss reaches the caller (it is not a std::runtime_error, so never `unevaluable`). + const auto g = fabric(); + for (int workers : {1, 2, 4}) { + DagCache cache(*g); + (void)cache.lookup(*g, v({4}), Direction::Reverse, nullptr); + cache.freeze(); + const auto msg = miss_of([&] { (void)sensitivity(*g, v({1}), v({4}), SensitivityOptions {costonly(), nullptr, &cache}, workers); }); + EXPECT_NE(msg.find("no entry for roots {4}"), std::string::npos) << workers << ": " << msg; + EXPECT_EQ(cache.stats().entries, 1); // nothing inserted + } +} + +TEST(DagCacheFrozen, DeletionModeSensitivityWithASuppliedFrozenCache) { + // Global sensitivity repairs the baseline's state per deletion and reads no cache: a supplied + // frozen cache, shared by two or four workers, gives the result without a cache. + const auto g = fabric(); + const auto want = sensitivity(*g, v({0, 1}), v({4, 5}), SensitivityOptions {global()}, 1); + for (int workers : {1, 2, 4}) { + DagCache cache(*g); + cache.freeze(); + const auto got = sensitivity(*g, v({0, 1}), v({4, 5}), SensitivityOptions {global(), nullptr, &cache}, workers); + EXPECT_EQ(got.baseline.placed, want.baseline.placed); + ASSERT_EQ(got.entries.size(), want.entries.size()); + for (std::size_t i = 0; i < got.entries.size(); ++i) { + EXPECT_EQ(got.entries[i].edge, want.entries[i].edge); + EXPECT_EQ(got.entries[i].loss, want.entries[i].loss); + } + EXPECT_EQ(cache.stats().hits + cache.stats().misses, 0); + } +} + +namespace { + +std::tuple all_of(const DagCache::Stats& s) { + return {s.hits, s.misses, s.entries, s.bytes, s.live_values}; +} + +} // namespace + +TEST(DagCacheFrozen, AFailedCallChangesNoStatisticButItsMiss) { + // review-1d F1, NOTES R27: a public call reading a frozen cache publishes its hits only when it + // succeeds. A batch whose pair 0 hits and pair 1 misses raises the miss and keeps no hit; the + // miss counts once, with one worker and with several (the boundary counts it, not the workers); + // the policy constructor and CostOnly sensitivity do the same. + const auto g = fabric(); + const std::vector, std::vector>> pairs = { + {v({0}), v({3})}, {v({1}), v({4})}, {v({2}), v({5})}, {v({0}), v({3})}}; + for (int workers : {1, 2, 4}) { + DagCache cache(*g); + (void)cache.lookup(*g, v({3}), Direction::Reverse, nullptr); + cache.freeze(); + auto before = all_of(cache.stats()); + // Pairs 1 and 2 miss; pairs 0 and 3 hit. + EXPECT_NE(miss_of([&] { (void)batch_capacity(*g, pairs, CapacityOptions {costonly(), nullptr, &cache}, {}, workers); }) + .find("roots {4}"), + std::string::npos); + auto want = before; + std::get<1>(want) += 1; + EXPECT_EQ(all_of(cache.stats()), want) << workers; + before = all_of(cache.stats()); + EXPECT_NE(miss_of([&] { + (void)sensitivity(*g, v({0}), v({3}), SensitivityOptions {costonly(), nullptr, &cache}, workers); + }).find("roots {3}"), + std::string::npos); + want = before; + std::get<1>(want) += 1; + EXPECT_EQ(all_of(cache.stats()), want) << workers; // the baseline's hit is dropped + } + DagCache cache(*g); + cache.freeze(); + FlowLedger fg(g); + EXPECT_FALSE(miss_of([&] { FlowPolicy p(fg, v({0}), v({3}), costonly(), nullptr, &cache); }).empty()); + EXPECT_EQ(all_of(cache.stats()), std::make_tuple(0, 1, 0, 0, 0)); +} + +TEST(DagCacheFrozen, ConcurrentCallsKeepEverySuccessfulHit) { + // Calls on one frozen cache from four threads at once, each a successful batch (two hits), a + // failing batch (its hit dropped, one miss) and a successful capacity (one hit): every + // successful call's hits are kept, no failed call's, and every failed call's miss is counted. + const auto g = fabric(); + DagCache cache(*g); + for (NodeId d : {3, 4}) (void)cache.lookup(*g, v({d}), Direction::Reverse, nullptr); + cache.freeze(); + const auto before = cache.stats(); + const CapacityOptions opts {costonly(), nullptr, &cache}; + const std::vector, std::vector>> good = {{v({0}), v({3})}, {v({1}), v({4})}}; + const std::vector, std::vector>> bad = {{v({0}), v({3})}, {v({1}), v({5})}}; + constexpr int kThreads = 4; + constexpr int kRounds = 25; + std::atomic wrong {0}; + std::vector pool; + for (int t = 0; t < kThreads; ++t) { + pool.emplace_back([&] { + for (int round = 0; round < kRounds; ++round) { + if (batch_capacity(*g, good, opts, {}, 2).size() != 2) ++wrong; + try { + (void)batch_capacity(*g, bad, opts, {}, 2); + ++wrong; + } catch (const DagCacheMiss&) { + } + if (capacity(*g, v({2}), v({3}), opts).placed <= 0) ++wrong; + } + }); + } + for (auto& th : pool) th.join(); + EXPECT_EQ(wrong.load(), 0); + const auto after = cache.stats(); + EXPECT_EQ(after.hits - before.hits, static_cast(kThreads) * kRounds * 3); + EXPECT_EQ(after.misses - before.misses, static_cast(kThreads) * kRounds); + EXPECT_EQ(after.entries, 2); + EXPECT_EQ(after.bytes, before.bytes); + EXPECT_EQ(after.live_values, before.live_values); +} + +TEST(DagCacheFrozen, ConcurrentPublicationsLoseNoIncrement) { + // Many short public calls at once (a CostOnly policy constructor: one frozen hit, published as + // its last step), so that publications from different threads overlap often: the hits are + // added atomically, none is lost. + const auto g = fabric(); + DagCache cache(*g); + (void)cache.lookup(*g, v({3}), Direction::Reverse, nullptr); + cache.freeze(); + const auto before = cache.stats().hits; + constexpr int kThreads = 8; + constexpr int kRounds = 1500; + std::vector pool; + for (int t = 0; t < kThreads; ++t) { + pool.emplace_back([&] { + FlowLedger fg(g); + for (int round = 0; round < kRounds; ++round) FlowPolicy p(fg, v({0}), v({3}), costonly(), nullptr, &cache); + }); + } + for (auto& th : pool) th.join(); + EXPECT_EQ(cache.stats().hits - before, static_cast(kThreads) * kRounds); +} diff --git a/tests/cpp/flow_ledger_tests.cpp b/tests/cpp/flow_ledger_tests.cpp index 6115b2a..d1d1fd2 100644 --- a/tests/cpp/flow_ledger_tests.cpp +++ b/tests/cpp/flow_ledger_tests.cpp @@ -9,6 +9,7 @@ // | orphaned records | n/a | n/a | n/a | clears | copied | #include +#include #include #include #include @@ -706,3 +707,117 @@ TEST(FlowLedger, RandomMultiOwnerCommitsMatchAModel) { EXPECT_GT(rejected, 100); for (auto owner : owners) LedgerAccess::release(fg, owner); } + +TEST(FlowLedger, FreshSingleRecordCommitsMatchTheGeneralRule) { + // Task 1d-msd: a commit of one new record by an owner without live records takes a shortcut + // when its edges strictly ascend (no aggregation). Against an independent model of the general + // rule, for drafts that ascend, repeat an edge, run backwards, hold zeros or negatives, and + // overflow at any position (another owner holding part of the capacity): the same outcome, the + // same message (negative amounts first, then the first infeasible edge in first-touch order with + // its aggregated total), and nothing changed by a rejected commit. + std::mt19937 rng(1007); + auto g = shared(make_graph(6, {{0, 1, 4, 1}, {1, 2, 3, 1}, {2, 3, 5, 1}, {0, 3, 2, 1}, {3, 4, 4, 1}, {4, 5, 3, 1}})); + const auto dag = all_edges(*g); + const auto m = static_cast(g->num_edges()); + FlowLedger fg(g); + const auto other = LedgerAccess::bind(fg); + std::vector held {draft_on(dag, {{0, 1}, {2, 2}, {5, 1}})}; + (void)LedgerAccess::commit(fg, other, held); + int ascending = 0; + int general = 0; + int negative = 0; + int infeasible = 0; + int accepted = 0; + for (int step = 0; step < 4000; ++step) { + const auto owner = LedgerAccess::bind(fg); + std::vector> edges; + const auto k = rng() % 5; + for (std::size_t i = 0; i < k; ++i) { + edges.emplace_back(static_cast(rng() % m), rng() % 9 == 0 ? Amount {-1} : static_cast(rng() % 4)); + } + const int shape = static_cast(rng() % 3); // ascending, sorted with repeats kept, as drawn + if (shape < 2) std::sort(edges.begin(), edges.end()); + if (shape == 0) { + edges.erase(std::unique(edges.begin(), edges.end(), [](const auto& a, const auto& b) { return a.first == b.first; }), + edges.end()); + } + const bool strictly = std::adjacent_find(edges.begin(), edges.end(), [](const auto& a, const auto& b) { + return a.first >= b.first; + }) == edges.end(); + ++(strictly ? ascending : general); + // The general rule: negatives first; then each touched edge in first-touch order with its sum. + std::string want; + for (const auto& [e, x] : edges) { + if (x < 0) want = "ledger: a negative allocation in a commit"; + } + std::vector delta(m, 0); + std::vector touched; + for (const auto& [e, x] : edges) { + if (std::find(touched.begin(), touched.end(), e) == touched.end()) touched.push_back(e); + delta[static_cast(e)] += x; + } + const auto before = fg.allocated(); + const auto before_records = fg.records(); + const auto next_id = LedgerAccess::next_flow_id(fg); + if (want.empty()) { + for (EdgeId e : touched) { + const auto ei = static_cast(e); + const Amount next = before[ei] + delta[ei]; + if (next < 0 || next > g->capacity_units()[ei]) { + want = "ledger: infeasible commit on edge " + std::to_string(e) + " (" + std::to_string(next) + " of " + + std::to_string(g->capacity_units()[ei]) + ")"; + break; + } + } + } + std::vector drafts {draft_on(dag, edges)}; + if (!want.empty()) { + try { + (void)LedgerAccess::commit(fg, owner, drafts); + ADD_FAILURE() << "step " << step << ": accepted, want " << want; + } catch (const std::logic_error& e) { + EXPECT_EQ(std::string(e.what()), want) << "step " << step; + } + ++(want.find("negative") != std::string::npos ? negative : infeasible); + EXPECT_EQ(fg.allocated(), before) << "step " << step; + EXPECT_EQ(fg.records().size(), before_records.size()) << "step " << step; + EXPECT_EQ(LedgerAccess::next_flow_id(fg), next_id) << "step " << step; + } else { + const auto ids = LedgerAccess::commit(fg, owner, drafts); + ASSERT_EQ(ids.size(), 1U); + EXPECT_EQ(ids[0], (FlowId {fg.uid(), next_id})); + const auto rec = fg.record(ids[0]); + std::vector> kept; + for (const auto& p : edges) { + if (p.second != 0) kept.push_back(p); + } + EXPECT_EQ(rec.edges, kept) << "step " << step; + EXPECT_EQ(rec.owner, owner); + for (std::size_t e = 0; e < m; ++e) EXPECT_EQ(fg.allocated()[e], before[e] + delta[e]) << "step " << step; + ++accepted; + if (rng() % 2 == 0) (void)LedgerAccess::detach(fg, owner); + } + LedgerAccess::release(fg, owner); + if (::testing::Test::HasFailure()) return; + } + EXPECT_GT(ascending, 1000); + EXPECT_GT(general, 1000); + EXPECT_GT(negative, 300); + EXPECT_GT(infeasible, 300); + EXPECT_GT(accepted, 1000); + LedgerAccess::release(fg, other); + // An owner with a live record, and a draft naming an id the owner does not hold, keep the + // general path and its rule (a fresh ledger). + FlowLedger fg2(g); + const auto owner = LedgerAccess::bind(fg2); + std::vector one {draft_on(dag, {{3, 1}})}; + const auto ids = LedgerAccess::commit(fg2, owner, one); + std::vector without_it {draft_on(dag, {{4, 1}})}; + EXPECT_THROW((void)LedgerAccess::commit(fg2, owner, without_it), std::logic_error); + const auto fresh = LedgerAccess::bind(fg2); + std::vector claims {draft_on(dag, {{4, 1}}, ids[0].second)}; + EXPECT_THROW((void)LedgerAccess::commit(fg2, fresh, claims), std::logic_error); + EXPECT_EQ(fg2.records().size(), 1U); + LedgerAccess::release(fg2, owner); + LedgerAccess::release(fg2, fresh); +} diff --git a/tests/cpp/flow_policy_fault_tests.cpp b/tests/cpp/flow_policy_fault_tests.cpp index abf64a8..31dacfd 100644 --- a/tests/cpp/flow_policy_fault_tests.cpp +++ b/tests/cpp/flow_policy_fault_tests.cpp @@ -9,6 +9,7 @@ // (fault_injection.hpp). #include +#include #include #include #include @@ -22,7 +23,7 @@ #include "netgraph/core/detail/ledger_access.hpp" #include "netgraph/core/detail/policy_engine.hpp" #include "netgraph/core/detail/pred_dag_builder.hpp" -#include "netgraph/core/detail/search.hpp" +#include "netgraph/core/detail/traversal.hpp" #include "netgraph/core/evaluators.hpp" #include "netgraph/core/flow_ledger.hpp" #include "netgraph/core/flow_policy.hpp" @@ -120,6 +121,13 @@ std::vector modes(const Graph& g) { std::make_shared(detail::PredDAGBuilder::of_edges(g, std::vector {inv[1], inv[6]}))}; out.push_back({"pinned eb cohort", {two, FlowPlacement::EqualBalanced, Admission::Lossless, det}, {0}, {5}}); out.push_back({"pinned lossy", {two, FlowPlacement::Weighted, Admission::Lossy, det}, {0}, {5}}); + // CostOnly creation in one pass (task 1d-msd): its Collapse branch (multipath, multi_edge false, + // on the creation view) and its Weighted weights (Capacity priority). + out.push_back({"costonly eb multipath collapse", + {CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, + sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, true, false)}, + S, D}); + out.push_back({"costonly weighted capacity", {CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, det}, S, D}); return out; } @@ -199,7 +207,7 @@ TEST(PolicyFaults, EveryAllocationOfEveryRoutingModeFailsAtomically) { } } } - EXPECT_EQ(sweeps, 11 * 5); + EXPECT_EQ(sweeps, 13 * 5); EXPECT_GT(injected, sweeps * 3); // not vacuous } @@ -299,7 +307,9 @@ TEST(PolicyFaults, DagCacheInsertionIsAllOrNothing) { EXPECT_EQ(s.bytes, before.bytes) << w; EXPECT_EQ(s.live_values, before.live_values) << w; EXPECT_EQ(s.hits, before.hits) << w; - EXPECT_LE(s.misses, before.misses + 1) << w; // a failed search counts its miss + // The key is the lookup's first allocation: its failure counts nothing; a failed search (or + // insertion) after it counts its miss. + EXPECT_EQ(s.misses, before.misses + (at == 0 ? 0 : 1)) << w; const auto v = cache.lookup(*g, roots, Direction::Reverse, nullptr); // a clean retry inserts EXPECT_EQ(cache.stats().entries, 2) << w; EXPECT_TRUE(*v == detail::static_support(*g, roots, Direction::Reverse, nullptr)) << w; @@ -460,3 +470,272 @@ TEST(PolicyFaults, ScratchGrowthFailureLeavesNothingHalfGrown) { } EXPECT_GT(failures, 4); } + +TEST(PolicyFaults, FrozenLookupsFailWithoutCounting) { + // A frozen hit allocates only the key of roots that are not already a sorted set (roots that are + // one are borrowed: nothing; task 1d-msd), a frozen miss its key and the DagCacheMiss message, + // all before counting: a failure there counts nothing and changes no entry; a clean retry counts. + const auto g = graph(); + DagCache cache(*g); + const std::vector unsorted = {6, 5}; + const std::vector sorted = {5, 6}; + const std::vector absent = {5}; + const auto value = cache.lookup(*g, unsorted, Direction::Reverse, nullptr); + cache.freeze(); + for (const int kind : {0, 1, 2}) { // a hit on unsorted roots, a hit on a sorted set, a miss + const bool hit = kind != 2; + const auto& present = kind == 0 ? unsorted : sorted; + long failures = 0; + for (long at = 0;; ++at) { + const auto before = cache.stats(); + bool missed = false; + const auto call = [&] { + try { + if (cache.lookup(*g, hit ? present : absent, Direction::Reverse, nullptr).get() != value.get()) ADD_FAILURE(); + } catch (const DagCacheMiss&) { + missed = true; + } + }; + const bool failed = fails_at(at, call); + const auto s = cache.stats(); + const std::string w = std::string(hit ? "hit" : "miss") + " allocation " + std::to_string(at); + EXPECT_EQ(s.entries, 1) << w; + EXPECT_EQ(s.bytes, before.bytes) << w; + EXPECT_EQ(s.live_values, before.live_values) << w; + if (failed) { + ++failures; + EXPECT_EQ(s.hits, before.hits) << w; + EXPECT_EQ(s.misses, before.misses) << w; + continue; + } + EXPECT_EQ(missed, !hit) << w; + EXPECT_EQ(s.hits - before.hits, hit ? 1 : 0) << w; + EXPECT_EQ(s.misses - before.misses, hit ? 0 : 1) << w; + break; + } + if (kind == 1) { + EXPECT_EQ(failures, 0) << "hit on a sorted set"; // borrowed: no allocation at all + } else { + EXPECT_GE(failures, hit ? 1 : 2) << (hit ? "hit" : "miss"); // the key; the message (and a key) + } + } +} + +namespace { + +void expect_stats(const DagCache::Stats& got, const DagCache::Stats& want, const std::string& where) { + EXPECT_EQ(got.hits, want.hits) << where; + EXPECT_EQ(got.misses, want.misses) << where; + EXPECT_EQ(got.entries, want.entries) << where; + EXPECT_EQ(got.bytes, want.bytes) << where; + EXPECT_EQ(got.live_values, want.live_values) << where; +} + +// One public call reading a supplied frozen cache, under every injected failure (every `step`-th +// allocation in any thread, or every third in the worker threads only): a call failing with +// std::bad_alloc leaves all five statistics as they were; the call that completes adds exactly +// `hits` hits, or, when its outcome is the DagCacheMiss (`miss`), exactly one miss and no hit +// (NOTES R27). Returns the number of injected failures. +long sweep_frozen_stats(const std::string& name, const DagCache& cache, bool in_workers, long step, std::int64_t hits, + bool miss, const std::function& call) { + long failures = 0; + for (long at = 0;; at += in_workers ? 3 : step) { + const auto before = cache.stats(); + bool missed = false; + const auto fn = [&] { + try { + call(); + } catch (const DagCacheMiss&) { + missed = true; + } + }; + const bool failed = in_workers ? fails_in_workers_at(at, fn) : fails_at(at, fn); + const std::string w = name + " allocation " + std::to_string(at) + (in_workers ? " (worker threads)" : ""); + auto want = before; + if (failed) { + ++failures; + EXPECT_FALSE(missed) << w; + } else { + EXPECT_EQ(missed, miss) << w; + if (miss) { + want.misses += 1; + } else { + want.hits += hits; + } + } + expect_stats(cache.stats(), want, w); + if (!failed || ::testing::Test::HasFailure()) break; + } + return failures; +} + +} // namespace + +TEST(PolicyFaults, FrozenStatisticsFollowThePublicCall) { + // review-1d F1: a frozen cache's statistics are observable state (APPROACH 13; the building + // cache's limit 2 does not cover them). Every public call that can read a supplied frozen cache + // (the policy constructor in every mode, capacity in every mode, batch_capacity and sensitivity + // at 1, 2 and 4 workers, in any thread and in the worker threads only) is swept: hits, misses, + // entries, bytes and live values after a failed call equal those before it. + const auto g = graph(); + const auto all = modes(*g); + DagCache cache(*g); + for (const auto& t : {std::vector {5, 6}, std::vector {6}, std::vector {5}}) { + (void)cache.lookup(*g, t, Direction::Reverse, nullptr); + } + cache.freeze(); + const auto reads = [](const Mode& m) -> std::int64_t { return std::holds_alternative(m.cfg.routing) ? 1 : 0; }; + for (const auto& m : all) { + const long built = sweep_frozen_stats(m.name + " frozen construction", cache, false, 1, reads(m), false, [&] { + FlowLedger fg(g); + FlowPolicy p(fg, m.sources, m.destinations, m.cfg, nullptr, &cache); + }); + EXPECT_GT(built, 2) << m.name; + const CapacityOptions opts {m.cfg, nullptr, &cache, OutputOptions {true, true, true}}; + const long placed = sweep_frozen_stats(m.name + " frozen capacity", cache, false, 3, reads(m), false, + [&] { (void)capacity(*g, m.sources, m.destinations, opts); }); + EXPECT_GT(placed, 2) << m.name; + if (::testing::Test::HasFailure()) return; + } + // A CostOnly policy whose key is absent: the constructor's outcome is the miss. + const auto& eb = all[1]; // costonly eb + ASSERT_TRUE(std::holds_alternative(eb.cfg.routing)); + const std::vector absent = {4}; + EXPECT_GT(sweep_frozen_stats("frozen construction miss", cache, false, 1, 0, true, + [&] { + FlowLedger fg(g); + FlowPolicy p(fg, eb.sources, absent, eb.cfg, nullptr, &cache); + }), + 1); + const CapacityOptions shared {eb.cfg, nullptr, &cache}; + const std::vector, std::vector>> pairs = { + {eb.sources, eb.destinations}, {{1}, {6}}, {{0}, {5}}}; + // Pair 0 hits, pair 1 misses: a lower pair's hit is not kept by the failed batch. + const std::vector, std::vector>> with_miss = {{eb.sources, eb.destinations}, + {{0}, absent}}; + for (const std::int32_t workers : {1, 2, 4}) { + for (const bool in_workers : {false, true}) { + if (in_workers && workers == 1) continue; // one worker runs on the calling thread + const std::string w = " workers " + std::to_string(workers); + EXPECT_GT(sweep_frozen_stats("frozen batch" + w, cache, in_workers, 5, 3, false, + [&] { (void)batch_capacity(*g, pairs, shared, {}, workers); }), + 2) + << w; + EXPECT_GT(sweep_frozen_stats("frozen batch with a miss" + w, cache, in_workers, 3, 0, true, + [&] { (void)batch_capacity(*g, with_miss, shared, {}, workers); }), + 1) + << w; + if (::testing::Test::HasFailure()) return; + } + // CostOnly sensitivity from a source that reaches no destination: one lookup (the baseline's + // hit), no placed deletion, and the call succeeds; its failures happen after the hit. + EXPECT_GT(sweep_frozen_stats("frozen costonly sensitivity" + std::string(" workers ") + std::to_string(workers), + cache, false, 3, 1, false, + [&] { + (void)sensitivity(*g, std::vector {5}, std::vector {6}, + SensitivityOptions {eb.cfg, nullptr, &cache}, workers); + }), + 2); + } + // CostOnly sensitivity whose deletions miss (a fresh uid per deletion): the baseline's hit is + // dropped with the failed call, and the miss counts once. + EXPECT_GT(sweep_frozen_stats("frozen costonly sensitivity miss", cache, false, 1, 0, true, + [&] { + (void)sensitivity(*g, eb.sources, eb.destinations, + SensitivityOptions {eb.cfg, nullptr, &cache}, 1); + }), + 2); + EXPECT_EQ(cache.stats().entries, 3); +} + +TEST(PolicyFaults, WorkersSharingAFrozenCacheFailCleanly) { + // batch_capacity and CostOnly sensitivity with a frozen cache shared by two and four workers: + // a failure anywhere, or in the worker threads only, propagates as std::bad_alloc after the + // join, the cache keeps its entries, and a clean retry gives the reference. + const auto g = graph(); + const auto all = modes(*g); + const auto& m = all[1]; // costonly eb: reads the cache + const std::vector, std::vector>> pairs = { + {m.sources, m.destinations}, {{1}, {6}}, {{0}, {5}}}; + DagCache cache(*g); + for (const auto& [s, t] : pairs) (void)cache.lookup(*g, t, Direction::Reverse, nullptr); + const auto entries = cache.stats().entries; + cache.freeze(); + const auto want = batch_capacity(*g, pairs, CapacityOptions {m.cfg}, {}, 1); + const CapacityOptions shared {m.cfg, nullptr, &cache}; + for (const std::int32_t workers : {2, 4}) { + for (const bool in_workers : {false, true}) { + const long failures = sweep_evaluator( + "frozen batch", workers, in_workers, 5, + [&](std::int32_t w) { (void)batch_capacity(*g, pairs, shared, {}, w); }, + [&](std::int32_t w) { + EXPECT_EQ(cache.stats().entries, entries); + const auto b = batch_capacity(*g, pairs, shared, {}, w); + ASSERT_EQ(b.size(), want.size()); + for (std::size_t i = 0; i < b.size(); ++i) expect_same(b[i], want[i], "frozen batch retry"); + }); + EXPECT_GT(failures, 2) << "frozen batch workers " << workers; + } + } + // CostOnly sensitivity through a frozen cache: every re-evaluated deletion misses (a fresh + // uid), so the reference outcome is the DagCacheMiss itself (its key; the uid is fresh per + // call). With one worker an injected failure before that miss gives std::bad_alloc, and the + // retry raises the same miss. (With several workers a lower candidate's miss may win over a + // worker's std::bad_alloc: the lowest index's exception is raised.) + const auto key_of = [](const DagCacheMiss& e) { + const std::string w = e.what(); + return w.substr(0, w.find(", Eligibility uid ")); + }; + const auto costonly_sensitivity = [&](std::int32_t w) { + (void)sensitivity(*g, m.sources, m.destinations, SensitivityOptions {m.cfg, nullptr, &cache}, w); + }; + std::string want_miss; + try { + costonly_sensitivity(1); + } catch (const DagCacheMiss& e) { + want_miss = key_of(e); + } + EXPECT_EQ(want_miss, "DagCache: the frozen cache has no entry for roots {5, 6}, direction Reverse"); + const long failures = sweep_evaluator( + "frozen sensitivity", 1, false, 1, + [&](std::int32_t w) { + try { + costonly_sensitivity(w); + } catch (const DagCacheMiss&) { + } + }, + [&](std::int32_t w) { + EXPECT_EQ(cache.stats().entries, entries); + try { + costonly_sensitivity(w); + ADD_FAILURE() << "no DagCacheMiss"; + } catch (const DagCacheMiss& e) { + EXPECT_EQ(key_of(e), want_miss); + } + }); + EXPECT_GT(failures, 2) << "frozen sensitivity"; + // Global (deletion-mode) sensitivity with the frozen cache shared by every worker: it reads no + // cache, and fails and retries as without one. + const auto git = std::find_if(all.begin(), all.end(), [](const Mode& x) { return x.name == "global"; }); + ASSERT_NE(git, all.end()); + const auto& gm = *git; + const auto want_global = sensitivity(*g, gm.sources, gm.destinations, SensitivityOptions {gm.cfg}, 1); + const SensitivityOptions gopts {gm.cfg, nullptr, &cache}; + for (const std::int32_t workers : {2, 4}) { + for (const bool in_workers : {false, true}) { + const long global_failures = sweep_evaluator( + "frozen global sensitivity", workers, in_workers, 11, + [&](std::int32_t w) { (void)sensitivity(*g, gm.sources, gm.destinations, gopts, w); }, + [&](std::int32_t w) { + const auto r = sensitivity(*g, gm.sources, gm.destinations, gopts, w); + ASSERT_EQ(r.entries.size(), want_global.entries.size()); + for (std::size_t i = 0; i < r.entries.size(); ++i) { + EXPECT_EQ(r.entries[i].edge, want_global.entries[i].edge); + EXPECT_EQ(r.entries[i].loss, want_global.entries[i].loss); + } + }); + EXPECT_GT(global_failures, 2) << "frozen global sensitivity workers " << workers; + } + } + EXPECT_EQ(cache.stats().entries, entries); +} diff --git a/tests/cpp/flow_policy_tests.cpp b/tests/cpp/flow_policy_tests.cpp index 4bcce0d..0f83ccc 100644 --- a/tests/cpp/flow_policy_tests.cpp +++ b/tests/cpp/flow_policy_tests.cpp @@ -20,10 +20,10 @@ #include "netgraph/core/detail/policy_engine.hpp" #include "netgraph/core/detail/pred_dag_builder.hpp" #include "netgraph/core/detail/private_hooks.hpp" -#include "netgraph/core/detail/search.hpp" #include "netgraph/core/evaluators.hpp" #include "netgraph/core/flow_ledger.hpp" #include "netgraph/core/flow_policy.hpp" +#include "netgraph/core/search.hpp" #include "test_utils.hpp" using namespace netgraph::core; @@ -259,15 +259,16 @@ TEST(FlowPolicyConfig, EnumValuesOutsideTheirEnumerationAreRejected) { "admission: 99")); EXPECT_TRUE(contains(error_of([&] { detail::check_kernel(FlowPlacement::MaxFlow, Admission::Lossless, bad_priority); }), "priority: 99")); - EXPECT_TRUE(contains( - error_of([&] { (void)detail::spf(*g, v({0}), bad_direction, std::nullopt, sel(), std::nullopt, 1, nullptr); }), - "direction: 99 is not a value of Direction")); - EXPECT_TRUE(contains( - error_of([&] { (void)detail::spf(*g, v({0}), Direction::Forward, std::nullopt, tie_sel, std::nullopt, 1, nullptr); }), - "selection.tie_break: 99")); - EXPECT_TRUE(contains( - error_of([&] { (void)detail::spf(*g, v({0}), Direction::Forward, std::nullopt, priority_sel, std::nullopt, 1, nullptr); }), - "selection.priority: 99")); + { + SpfOptions o(Direction::Forward, sel()); + o.direction = bad_direction; + EXPECT_TRUE(contains(error_of([&] { (void)spf(*g, v({0}), o); }), "direction: 99 is not a value of Direction")); + EXPECT_TRUE(contains(error_of([&] { SpfOptions bad(bad_direction, sel()); }), "direction: 99 is not a value of Direction")); + SpfOptions t(Direction::Forward, tie_sel); + EXPECT_TRUE(contains(error_of([&] { (void)spf(*g, v({0}), t); }), "selection.tie_break: 99")); + SpfOptions p(Direction::Forward, priority_sel); + EXPECT_TRUE(contains(error_of([&] { (void)spf(*g, v({0}), p); }), "selection.priority: 99")); + } DagCache cache(*g); EXPECT_TRUE(contains(error_of([&] { (void)cache.lookup(*g, v({3}), bad_direction, nullptr); }), "direction: 99")); const auto st = cache.stats(); diff --git a/tests/cpp/kernels_tests.cpp b/tests/cpp/kernels_tests.cpp index f8124cc..c4d9c27 100644 --- a/tests/cpp/kernels_tests.cpp +++ b/tests/cpp/kernels_tests.cpp @@ -13,7 +13,9 @@ #include #include #include +#include #include +#include #include #include "netgraph/core/detail/int128.hpp" @@ -69,6 +71,12 @@ std::vector hamilton(Amount total, const std::vector& w) { return a; } +// A plan's structure field (a view of the plan's block) as a vector. +template +std::vector> vec(std::span v) { + return std::vector>(v.begin(), v.end()); +} + // Member-aligned view of a dense per-edge array. std::vector on_members(const KernelPlan& plan, const std::vector& dense) { std::vector out; @@ -459,11 +467,12 @@ TEST(Plans, SplitGraphEqualsTheWalkDefinition) { const auto on_usable = make_plan(g, kernel, Admission::Lossless, EdgePriority::Capacity, src, dsts, usable_dag, {}, &plan_cost); EXPECT_EQ(on_usable.members, on_bundle.members); - EXPECT_EQ(on_usable.topo, on_bundle.topo); - EXPECT_EQ(on_usable.out_begin, on_bundle.out_begin); - EXPECT_EQ(on_usable.out_end, on_bundle.out_end); - EXPECT_EQ(on_usable.head_pos, on_bundle.head_pos); - EXPECT_EQ(on_usable.terminal, on_bundle.terminal); + EXPECT_EQ(vec(on_usable.dsts), vec(on_bundle.dsts)); + EXPECT_EQ(vec(on_usable.topo), vec(on_bundle.topo)); + EXPECT_EQ(vec(on_usable.out_begin), vec(on_bundle.out_begin)); + EXPECT_EQ(vec(on_usable.out_end), vec(on_bundle.out_end)); + EXPECT_EQ(vec(on_usable.head_pos), vec(on_bundle.head_pos)); + EXPECT_EQ(vec(on_usable.terminal), vec(on_bundle.terminal)); EXPECT_EQ(on_usable.weights, on_bundle.weights); // The route cost is over the route (every usable edge), not only the members. dist.assign(static_cast(n), kUnreachable); diff --git a/tests/cpp/ksp_tests.cpp b/tests/cpp/ksp_tests.cpp new file mode 100644 index 0000000..9218f1b --- /dev/null +++ b/tests/cpp/ksp_tests.cpp @@ -0,0 +1,520 @@ +// KSP (APPROACH 6, rule 10) and resolve_to_paths (APPROACH 5): prototype 6's witnesses (the +// review-12 C2 and three-hop graphs, the review-13 priority-suffix trap, the prefix-capped spur, +// the parallel root under Expand and Collapse, the four-edge graph, the zero-capacity tie order, +// the static ceiling on chain-plus-bypasses), k = 1 against the forward and reverse single path, +// and agreement with exhaustive enumeration (search_reference.hpp) on random graphs; the +// resolver's order, splitting and truncation against an enumeration of every walk of a DAG. +#include + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/search.hpp" +#include "search_reference.hpp" +#include "test_utils.hpp" + +using namespace netgraph::core; +using namespace netgraph::core::test; + +namespace { + +PathSelection sel(bool multi_edge = true, EdgeTieBreak tie = EdgeTieBreak::Deterministic, + EdgePriority prio = EdgePriority::Residual) { + return PathSelection(tie, prio, true, multi_edge); +} + +std::string error_of(const std::function& fn) { + try { + fn(); + } catch (const std::invalid_argument& e) { + return e.what(); + } + return ""; +} + +// Rows (u, v, capacity, cost) given in B' order (sorted by (src, cost, dst)), so ids are the +// input positions, as prototype 6's b() arranges. +Graph bgraph(std::int32_t n, std::vector rows) { + std::stable_sort(rows.begin(), rows.end(), [](const InEdge& a, const InEdge& b) { + return std::tie(a.u, a.cost, a.v) < std::tie(b.u, b.cost, b.v); + }); + return make_graph(n, rows); +} + +std::vector> run(const Graph& g, NodeId s, NodeId t, std::int64_t k, const PathSelection& s1, + std::optional ceiling = std::nullopt, + const std::vector* residual = nullptr, const Eligibility* elig = nullptr) { + KspOptions o(k, s1); + o.max_path_cost = ceiling; + if (residual != nullptr) o.residual = std::span(*residual); + o.elig = elig; + return ksp(g, s, t, o); +} + +std::vector walk_of(const Path& p) { + std::vector out; + for (const auto& hop : p.hops()) { + EXPECT_EQ(hop.size(), 1U); + out.push_back(hop.front()); + } + return out; +} + +std::vector nodes_of(const Graph& g, const Path& p) { + std::vector out = {p.src()}; + for (const auto& hop : p.hops()) out.push_back(g.edge_dst()[static_cast(hop.front())]); + return out; +} + +std::vector costs_of(const std::vector>& r) { + std::vector out; + for (const auto& [c, p] : r) { + EXPECT_EQ(c, p.cost()); + out.push_back(c); + } + return out; +} + +} // namespace + +TEST(Ksp, Review12AndTheSinglePathFromBothDirections) { + auto c2 = bgraph(4, {{0, 1, 1, 9}, {0, 2, 1, 1}, {1, 3, 1, 1}, {2, 3, 1, 9}}); + auto three = bgraph(6, {{0, 2, 1, 1}, {2, 3, 1, 1}, {3, 5, 1, 1}, {0, 1, 1, 1}, {1, 4, 1, 1}, {4, 5, 1, 1}}); + struct Case { + const Graph* g; + NodeId t; + std::vector want; + }; + for (const auto& c : {Case {&c2, 3, {0, 2, 3}}, Case {&three, 5, {0, 1, 4, 5}}}) { + for (auto tie : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { + auto got = run(*c.g, 0, c.t, 2, sel(true, tie)); + ASSERT_EQ(got.size(), 2U); + EXPECT_EQ(nodes_of(*c.g, got[0].second), c.want); + // k = 1 is the canonical single path of the forward and the reverse search. + SpfOptions f(Direction::Forward, PathSelection(tie, EdgePriority::Residual, false)); + f.targets = std::vector {c.t}; + SpfOptions r(Direction::Reverse, PathSelection(tie, EdgePriority::Residual, false)); + r.targets = std::vector {0}; + auto fw = spf(*c.g, std::vector {0}, f); + auto rv = spf(*c.g, std::vector {c.t}, r); + auto w = walk_of(got[0].second); + std::sort(w.begin(), w.end()); + EXPECT_EQ(std::vector(fw.dag.via_edges().begin(), fw.dag.via_edges().end()).size(), w.size()); + auto fe = std::vector(fw.dag.via_edges().begin(), fw.dag.via_edges().end()); + auto re = std::vector(rv.dag.via_edges().begin(), rv.dag.via_edges().end()); + std::sort(fe.begin(), fe.end()); + std::sort(re.begin(), re.end()); + EXPECT_EQ(fe, w); + EXPECT_EQ(re, w); + } + } +} + +TEST(Ksp, Review13PrioritySuffixTrap) { + auto g = bgraph(5, {{0, 1, 1, 1}, {1, 4, 1, 3}, {1, 2, 2, 1}, {2, 3, 2, 1}, {3, 4, 2, 1}}); + auto got = run(g, 0, 4, 1, sel(true, EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity)); + ASSERT_EQ(got.size(), 1U); + EXPECT_EQ(nodes_of(g, got[0].second), (std::vector{0, 1, 4})); +} + +TEST(Ksp, PrefixCappedSpurOrder) { + // After 0-1-4 the spur at 1 takes 1-5-4 (bottleneck 1, the prefix's) before 1-2-3-4: with the + // spur's B* capped by the prefix, the 3-hop path comes second (uncapped it would come third). + auto g = bgraph(6, {{0, 1, 1, 1}, {1, 4, 1, 3}, {1, 5, 1, 1}, {5, 4, 1, 2}, {1, 2, 2, 1}, {2, 3, 2, 1}, {3, 4, 2, 1}}); + auto got = run(g, 0, 4, 3, sel(true, EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity)); + ASSERT_EQ(got.size(), 3U); + EXPECT_EQ(nodes_of(g, got[0].second), (std::vector{0, 1, 4})); + EXPECT_EQ(nodes_of(g, got[1].second), (std::vector{0, 1, 5, 4})); + EXPECT_EQ(nodes_of(g, got[2].second), (std::vector{0, 1, 2, 3, 4})); +} + +TEST(Ksp, CandidateBottleneckIncludesThePrefix) { + // The first path 0-1-3 (cost 2) has bottleneck 1 (edge 0-1). Its deviations cost 3: at 0, + // 0-2-3 (bottleneck 5); at 1, the prefix 0-1 then the second 1-3 edge (the spur alone has + // bottleneck 10, the candidate min(1, 10) = 1). PreferHigherPriority orders 0-2-3 first; a + // candidate keyed by its spur's bottleneck alone would put the prefix's deviation first. + // Deterministic orders the two by B' ids: 0-1-3 (ids 0, 3) before 0-2-3 (ids 1, 4). + auto g = bgraph(4, {{0, 1, 1, 1}, {1, 3, 10, 1}, {0, 2, 5, 1}, {2, 3, 5, 2}, {1, 3, 10, 2}}); + auto prefer = run(g, 0, 3, 8, sel(true, EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity)); + ASSERT_EQ(costs_of(prefer), (std::vector {2, 3, 3})); + EXPECT_EQ(nodes_of(g, prefer[0].second), (std::vector {0, 1, 3})); + EXPECT_EQ(nodes_of(g, prefer[1].second), (std::vector {0, 2, 3})); + EXPECT_EQ(nodes_of(g, prefer[2].second), (std::vector {0, 1, 3})); + EXPECT_EQ(walk_of(prefer[2].second), (std::vector {0, 3})); + auto det = run(g, 0, 3, 8, sel(true, EdgeTieBreak::Deterministic, EdgePriority::Capacity)); + ASSERT_EQ(costs_of(det), (std::vector {2, 3, 3})); + EXPECT_EQ(walk_of(det[1].second), (std::vector {0, 3})); + EXPECT_EQ(walk_of(det[2].second), (std::vector {1, 4})); +} + +TEST(Ksp, ParallelMembersUnderExpandAndCollapse) { + // Two hops of two parallel members: four equal paths under Expand, one under Collapse. + auto pr = bgraph(3, {{0, 1, 1, 1}, {0, 1, 1, 1}, {1, 2, 1, 1}, {1, 2, 1, 1}}); + EXPECT_EQ(run(pr, 0, 2, 8, sel()).size(), 4U); + EXPECT_EQ(run(pr, 0, 2, 8, sel(false)).size(), 1U); + auto k3 = run(pr, 0, 2, 3, sel()); + ASSERT_EQ(k3.size(), 3U); + EXPECT_EQ(walk_of(k3[0].second), (std::vector{0, 2})); + EXPECT_EQ(walk_of(k3[1].second), (std::vector{0, 3})); + EXPECT_EQ(walk_of(k3[2].second), (std::vector{1, 2})); + // Costs 1/3 then 2/3: all four simple paths under Expand in cost order; Collapse keeps one. + auto fe = bgraph(3, {{0, 1, 1, 1}, {0, 1, 1, 3}, {1, 2, 1, 2}, {1, 2, 1, 3}}); + EXPECT_EQ(costs_of(run(fe, 0, 2, 8, sel())), (std::vector{3, 4, 5, 6})); + EXPECT_EQ(costs_of(run(fe, 0, 2, 8, sel(false))), (std::vector{3})); +} + +TEST(Ksp, ZeroCapacityEdgesAreNeverMembers) { + auto g = bgraph(4, {{0, 1, 1, 1}, {1, 3, 1, 1}, {0, 2, 1, 1}, {2, 3, 1, 1}, {0, 3, 0, 2}, {0, 3, 1, 2}}); + std::vector zero; + for (EdgeId e = 0; e < g.num_edges(); ++e) { + if (g.capacity_units()[static_cast(e)] == 0) zero.push_back(e); + } + ASSERT_EQ(zero.size(), 1U); + auto with_zero = run(g, 0, 3, 8, sel()); + auto el = g.eligibility({}, zero); + auto excluded = run(g, 0, 3, 8, sel(), std::nullopt, nullptr, &el); + ASSERT_EQ(with_zero.size(), excluded.size()); + for (std::size_t i = 0; i < with_zero.size(); ++i) { + EXPECT_TRUE(with_zero[i].second == excluded[i].second); + for (EdgeId e : walk_of(with_zero[i].second)) EXPECT_NE(e, zero[0]); + } +} + +TEST(Ksp, CeilingsOnChainPlusBypasses) { + // Chain 0-1-2-3 (cost 3) with bypasses 0->2 and 1->3 (cost 3 each): static baseline 3. + auto g = bgraph(4, {{0, 1, 1, 1}, {1, 2, 1, 1}, {2, 3, 1, 1}, {0, 2, 1, 3}, {1, 3, 1, 3}}); + EXPECT_EQ(costs_of(run(g, 0, 3, 8, sel())), (std::vector{3, 4, 4})); + EXPECT_EQ(costs_of(run(g, 0, 3, 8, sel(), Stretch {1.0})), (std::vector{3})); + EXPECT_EQ(costs_of(run(g, 0, 3, 8, sel(), Stretch {1.5})), (std::vector{3, 4, 4})); + EXPECT_EQ(costs_of(run(g, 0, 3, 8, sel(), Stretch {1.25})), (std::vector{3})); // 4 > 3.75 + EXPECT_EQ(costs_of(run(g, 0, 3, 8, sel(), Stretch {4.0 / 3.0})), (std::vector{3})); // dyadic 4/3 < 4/3 + EXPECT_EQ(costs_of(run(g, 0, 3, 8, sel(), Absolute {3})), (std::vector{3})); + EXPECT_EQ(costs_of(run(g, 0, 3, 8, sel(), Absolute {4})), (std::vector{3, 4, 4})); + EXPECT_TRUE(run(g, 0, 3, 8, sel(), Absolute {0}).empty()); // a valid empty budget + // The Stretch baseline is static: a residual gating the middle edge removes the cost-3 path but + // not the baseline, so Stretch(1) keeps nothing (the residual paths cost 4). + std::vector res(5, 1); + const auto inv = id_of_input(g); + res[static_cast(inv[2])] = 0; // the middle edge 1 -> 2 + EXPECT_TRUE(run(g, 0, 3, 8, sel(), Stretch {1.0}, &res).empty()); + EXPECT_EQ(costs_of(run(g, 0, 3, 8, sel(), std::nullopt, &res)), (std::vector{4, 4})); + // No static route under a Stretch ceiling: []. + const std::vector xn = {1, 2}; + auto el = g.eligibility(xn, {}); + EXPECT_TRUE(run(g, 0, 3, 8, sel(), Stretch {2.0}, nullptr, &el).empty()); +} + +TEST(Ksp, ValidationInTheContractOrder) { + auto g = bgraph(3, {{0, 1, 1, 1}, {1, 2, 1, 1}}); + auto other = bgraph(3, {{0, 1, 1, 1}}); + auto foreign = other.eligibility({}, std::vector {0}); + const std::vector bad = {1, 2}; + EXPECT_EQ(error_of([&] { (void)run(g, 3, 1, 1, sel()); }), "src: node 3 out of node range [0, 3)"); + EXPECT_EQ(error_of([&] { (void)run(g, 0, -1, 1, sel()); }), "dst: node -1 out of node range [0, 3)"); + EXPECT_EQ(error_of([&] { (void)run(g, 1, 1, 1, sel()); }), "node 1 is in both endpoint sets: src and dst must not overlap"); + EXPECT_EQ(error_of([&] { (void)run(g, 0, 2, 0, sel()); }), "k must be >= 1 (got 0)"); + EXPECT_EQ(error_of([&] { (void)run(g, 0, 2, 1, sel(), Absolute {-1}); }), "max_path_cost Absolute cost must be >= 0 (got -1)"); + EXPECT_EQ(error_of([&] { (void)run(g, 0, 2, 1, sel(), Stretch {0.5}); }), + "max_path_cost Stretch factor must be finite and in [1, inf) (got 0.500000)"); + EXPECT_NE(error_of([&] { (void)run(g, 0, 2, 1, sel(), Stretch {std::nan("")}); }).find("max_path_cost Stretch"), std::string::npos); + EXPECT_NE(error_of([&] { (void)run(g, 0, 2, 1, sel(), Stretch {std::numeric_limits::infinity()}); }).find("max_path_cost Stretch"), std::string::npos); + EXPECT_EQ(error_of([&] { (void)run(g, 0, 2, 1, sel(), std::nullopt, &bad); }), "residual[1] = 2 is outside [0, capacity_units[1] = 1]"); + EXPECT_EQ(error_of([&] { (void)run(g, 0, 2, 1, sel(), std::nullopt, nullptr, &foreign); }), + "foreign Eligibility: built for another graph"); + // Order: the endpoints before k before the ceiling before the residual. + EXPECT_EQ(error_of([&] { (void)run(g, 2, 2, 0, sel(), Absolute {-1}, &bad); }), + "node 2 is in both endpoint sets: src and dst must not overlap"); + EXPECT_EQ(error_of([&] { (void)run(g, 0, 2, 0, sel(), Absolute {-1}, &bad); }), "k must be >= 1 (got 0)"); + EXPECT_EQ(error_of([&] { (void)run(g, 0, 2, 1, sel(), Absolute {-1}, &bad); }), "max_path_cost Absolute cost must be >= 0 (got -1)"); + KspOptions o(1, sel()); + o.selection.tie_break = static_cast(4); + EXPECT_EQ(error_of([&] { (void)ksp(g, 0, 2, o); }), "selection.tie_break: 4 is not a value of EdgeTieBreak"); + // An excluded endpoint gives [], never an error. + const std::vector x0 = {0}; + auto el = g.eligibility(x0, {}); + EXPECT_TRUE(run(g, 0, 2, 3, sel(), std::nullopt, nullptr, &el).empty()); +} + +namespace { + +// The reference KSP list: every simple src -> dst path of the member graph sorted by the key, +// truncated at the inclusive ceiling and at k. +std::vector> reference_ksp(const Graph& g, const ref::Query& q, NodeId s, NodeId t, std::int64_t k, + std::optional ceiling) { + const auto mem = ref::members(q); + std::vector is_end(static_cast(g.num_nodes()), 0); + is_end[static_cast(t)] = 1; + std::vector> all; + std::vector walk; + std::vector on(static_cast(g.num_nodes()), 0); + on[static_cast(s)] = 1; + ref::walks(g, mem, s, is_end, walk, on, all); + std::sort(all.begin(), all.end(), [&](const auto& a, const auto& b) { return ref::key_less(q, a, b); }); + // The static baseline: the member graph without the residual, Expand. + ref::Query st = q; + st.residual = nullptr; + st.multi_edge = true; + const auto d = ref::distances(g, ref::members(st), {s}, false); + std::vector> out; + for (const auto& p : all) { + if (static_cast(out.size()) == k) break; + Cost c = 0; + for (EdgeId e : p) c += g.cost()[static_cast(e)]; + if (ceiling.has_value()) { + if (const auto* a = std::get_if(&*ceiling)) { + if (c > a->cost) break; + } else { + const Cost base = d[static_cast(t)]; + if (base == ref::kNone) return {}; + // f in {1, 1.25, 1.5, 2}: c <= f * base exactly in quarters. + const auto quarters = static_cast<__int128>(std::get(*ceiling).factor * 4); + if (static_cast<__int128>(c) * 4 > quarters * base) break; + } + } + out.push_back(p); + } + return out; +} + +} // namespace + +TEST(Ksp, RandomGraphsAgreeWithExhaustiveEnumeration) { + // The prototype-6 corpus shape (seed 6006): parallel members, residuals, masks, both tie modes, + // every priority, Expand and Collapse, k in {1, 3, 8}, Absolute and Stretch ceilings. + std::mt19937 rng(6006); + int checked = 0; + int nonempty = 0; + int deep = 0; + for (int gi = 0; gi < 300; ++gi) { + const int n = 3 + static_cast(rng() % 5); + const int m = n + static_cast(rng() % static_cast(2 * n + 2)); + std::vector rows; + for (int i = 0; i < m; ++i) { + rows.push_back({static_cast(rng() % static_cast(n)), static_cast(rng() % static_cast(n)), + static_cast(rng() % 5), static_cast(1 + rng() % 5)}); + } + if (rng() % 2 == 0) { + const auto u = static_cast(rng() % static_cast(n)); + const auto v = static_cast(rng() % static_cast(n)); + for (int i = 0; i < 2; ++i) rows.push_back({u, v, static_cast(1 + rng() % 4), static_cast(1 + rng() % 3)}); + } + rows.push_back({0, static_cast(n - 1), static_cast(1 + rng() % 3), static_cast(3 + rng() % 6)}); + auto g = make_graph(n, rows); + std::vector residual(static_cast(g.num_edges())); + for (std::size_t e = 0; e < residual.size(); ++e) { + residual[e] = static_cast(rng() % static_cast(g.capacity_units()[e] + 1)); + } + std::vector xn; + std::vector xe; + for (NodeId v = 1; v + 1 < n; ++v) { + if (rng() % 10 == 0) xn.push_back(v); + } + for (EdgeId e = 0; e < g.num_edges(); ++e) { + if (rng() % 10 == 0) xe.push_back(e); + } + const auto el = g.eligibility(xn, xe); + for (int c = 0; c < 24; ++c) { + const bool use_res = rng() % 2 == 0; + const bool masks = rng() % 10 < 3; + const EdgePriority prios[3] = {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}; + const auto s1 = sel(rng() % 2 == 0, rng() % 2 == 0 ? EdgeTieBreak::Deterministic : EdgeTieBreak::PreferHigherPriority, + prios[rng() % 3]); + const std::int64_t ks[3] = {1, 3, 8}; + const std::int64_t k = ks[rng() % 3]; + std::optional ceiling; + const auto pick = rng() % 4; + if (pick == 2) ceiling = Absolute {static_cast(3 + rng() % 9)}; + if (pick == 3) { + const double fs[4] = {1.0, 1.25, 1.5, 2.0}; + ceiling = Stretch {fs[rng() % 4]}; + } + ref::Query q; + q.g = &g; + q.elig = masks ? &el : nullptr; + q.residual = use_res ? &residual : nullptr; + q.multi_edge = s1.multi_edge; + q.prefer = s1.tie_break == EdgeTieBreak::PreferHigherPriority; + q.priority = s1.priority; + const auto want = reference_ksp(g, q, 0, static_cast(n - 1), k, ceiling); + auto got = run(g, 0, static_cast(n - 1), k, s1, ceiling, use_res ? &residual : nullptr, masks ? &el : nullptr); + std::vector> walks; + for (const auto& [cost, p] : got) { + walks.push_back(walk_of(p)); + EXPECT_EQ(cost, p.cost()); + } + ASSERT_EQ(walks, want) << "graph " << gi << " case " << c; + ++checked; + if (!want.empty()) ++nonempty; + if (want.size() >= 3) ++deep; + } + } + EXPECT_EQ(checked, 7200); + EXPECT_GT(nonempty, 3000); + EXPECT_GT(deep, 300); +} + +namespace { + +// Every src -> dst walk of a DAG given by its edges, as hops (grouped or split), sorted by the +// resolver's key (cost, hops, edge-id sequence with a grouped hop keyed by its lowest member). +std::vector>> reference_walks(const Graph& g, const std::vector& dag, NodeId s, + NodeId t, bool split) { + std::map, std::vector> groups; + for (EdgeId e : dag) groups[{g.edge_src()[static_cast(e)], g.edge_dst()[static_cast(e)]}].push_back(e); + for (auto& [k, v] : groups) std::sort(v.begin(), v.end()); + std::vector>> out; + std::function>&)> walk = [&](NodeId u, std::vector>& hops) { + if (u == t) { + if (!split) { + out.push_back(hops); + return; + } + std::vector>> combos(1); + for (const auto& h : hops) { + std::vector>> next; + for (const auto& c : combos) { + for (EdgeId e : h) { + auto cc = c; + cc.push_back({e}); + next.push_back(cc); + } + } + combos = next; + } + out.insert(out.end(), combos.begin(), combos.end()); + return; + } + for (const auto& [k, v] : groups) { + if (k.first != u) continue; + hops.push_back(v); + walk(k.second, hops); + hops.pop_back(); + } + }; + std::vector> hops; + walk(s, hops); + auto key = [&](const std::vector>& p) { + Cost c = 0; + std::vector seq; + for (const auto& h : p) { + Cost best = g.cost()[static_cast(h.front())]; + for (EdgeId e : h) best = std::min(best, g.cost()[static_cast(e)]); + c += best; + seq.push_back(h.front()); + } + return std::make_tuple(c, p.size(), seq); + }; + std::stable_sort(out.begin(), out.end(), [&](const auto& a, const auto& b) { return key(a) < key(b); }); + return out; +} + +} // namespace + +TEST(ResolveToPaths, OrderSplitAndTruncation) { + // A DAG with a parallel pair, two routes of equal cost and a dearer one: + // ids (B' order): 0: 0->1 (1), 1: 0->1 (1), 2: 0->2 (1), 3: 0->3 (5), 4: 1->3 (1), 5: 2->3 (1). + auto g = bgraph(4, {{0, 1, 1, 1}, {0, 1, 1, 1}, {0, 2, 1, 1}, {0, 3, 1, 5}, {1, 3, 1, 1}, {2, 3, 1, 1}}); + const auto dag = detail::PredDAGBuilder::of_edges(g, std::vector {0, 1, 2, 3, 4, 5}); + auto hops_of = [](const std::vector& ps) { + std::vector>> out; + for (const auto& p : ps) out.push_back(p.hops()); + return out; + }; + // Grouped: [[0, 1], [4]] (cost 2, key 0), [[2], [5]] (cost 2, key 2), [[3]] (cost 5). + auto grouped = resolve_to_paths(g, dag, 0, 3); + EXPECT_EQ(hops_of(grouped), (std::vector>> {{{0, 1}, {4}}, {{2}, {5}}, {{3}}})); + EXPECT_EQ(grouped[0].cost(), 2); + EXPECT_EQ(grouped[2].cost(), 5); + // Split: one path per member combination, in the same order. + auto split = resolve_to_paths(g, dag, 0, 3, true); + EXPECT_EQ(hops_of(split), (std::vector>> {{{0}, {4}}, {{1}, {4}}, {{2}, {5}}, {{3}}})); + EXPECT_EQ(resolve_to_paths(g, dag, 0, 3, true, 2).size(), 2U); + EXPECT_EQ(hops_of(resolve_to_paths(g, dag, 0, 3, false, 1)), (std::vector>> {{{0, 1}, {4}}})); + // An endpoint the DAG does not join: []. + EXPECT_TRUE(resolve_to_paths(g, dag, 3, 0).empty()); + EXPECT_TRUE(resolve_to_paths(g, detail::PredDAGBuilder::of_edges(g, std::vector {4}), 0, 3).empty()); + // Validation. + auto other = bgraph(4, {{0, 1, 1, 1}}); + EXPECT_EQ(error_of([&] { (void)resolve_to_paths(other, dag, 0, 3); }), "foreign PredDAG: built for another graph"); + EXPECT_EQ(error_of([&] { (void)resolve_to_paths(g, dag, 4, 3); }), "src: node 4 out of node range [0, 4)"); + EXPECT_EQ(error_of([&] { (void)resolve_to_paths(g, dag, 0, -2); }), "dst: node -2 out of node range [0, 4)"); + EXPECT_EQ(error_of([&] { (void)resolve_to_paths(g, dag, 2, 2); }), "node 2 is in both endpoint sets: src and dst must not overlap"); + EXPECT_EQ(error_of([&] { (void)resolve_to_paths(g, dag, 0, 3, false, 0); }), "max_paths must be >= 1 (got 0)"); +} + +TEST(ResolveToPaths, RandomDagsAgreeWithEnumeration) { + // Random DAGs (edges u -> v with u < v, parallel members, mixed costs, not necessarily tight): + // the order, both forms and the truncation against the enumeration of every walk. + std::mt19937 rng(55); + int checked = 0; + for (int trial = 0; trial < 600; ++trial) { + const int n = 2 + static_cast(rng() % 7); + std::vector rows; + const int m = static_cast(rng() % 18); + for (int i = 0; i < m; ++i) { + const auto u = static_cast(rng() % static_cast(n - 1)); + const auto v = static_cast(u + 1 + rng() % static_cast(n - 1 - u)); + rows.push_back({u, v, 1, static_cast(1 + rng() % 4)}); + } + auto g = make_graph(n, rows); + std::vector edges; + for (EdgeId e = 0; e < g.num_edges(); ++e) { + if (rng() % 5 != 0) edges.push_back(e); + } + const auto dag = detail::PredDAGBuilder::of_edges(g, edges); + const NodeId s = 0; + const auto t = static_cast(n - 1); + for (bool split : {false, true}) { + const auto want = reference_walks(g, edges, s, t, split); + for (std::optional mp : {std::optional {}, std::optional {1}, + std::optional {3}}) { + const auto got = resolve_to_paths(g, dag, s, t, split, mp); + const std::size_t expect_n = mp.has_value() ? std::min(want.size(), static_cast(*mp)) : want.size(); + ASSERT_EQ(got.size(), expect_n) << trial; + for (std::size_t i = 0; i < got.size(); ++i) EXPECT_EQ(got[i].hops(), want[i]) << trial << " path " << i; + ++checked; + } + } + } + EXPECT_EQ(checked, 3600); +} + +TEST(ResolveToPaths, ResolvesASearchDagFromEitherDirection) { + // The DAG of a reverse search is forward-oriented: resolving it from a source gives the same + // walks as resolving the forward search's DAG. + auto g = bgraph(5, {{0, 1, 1, 1}, {0, 2, 1, 1}, {1, 3, 1, 1}, {2, 3, 1, 1}, {3, 4, 1, 1}, {0, 4, 1, 3}}); + SpfOptions f(Direction::Forward, PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)); + SpfOptions r(Direction::Reverse, PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)); + auto fw = spf(g, std::vector {0}, f); + auto rv = spf(g, std::vector {4}, r); + auto a = resolve_to_paths(g, fw.dag, 0, 4); + auto b = resolve_to_paths(g, rv.dag, 0, 4); + ASSERT_EQ(a.size(), 3U); + ASSERT_EQ(b.size(), 3U); + for (std::size_t i = 0; i < a.size(); ++i) EXPECT_TRUE(a[i] == b[i]); + EXPECT_EQ(a[0].cost(), 3); +} + +TEST(ResolveToPaths, LongChainsNeedNoRecursion) { + // A 200,000-node chain with one parallel pair: the enumeration keeps an explicit stack. + const int n = 200000; + std::vector rows; + for (int v = 0; v + 1 < n; ++v) rows.push_back({v, v + 1, 1, 1}); + rows.push_back({n / 2, n / 2 + 1, 1, 1}); + auto g = make_graph(n, rows); + std::vector all(static_cast(g.num_edges())); + for (std::size_t e = 0; e < all.size(); ++e) all[e] = static_cast(e); + const auto dag = detail::PredDAGBuilder::of_edges(g, all); + EXPECT_EQ(resolve_to_paths(g, dag, 0, n - 1, true).size(), 2U); + EXPECT_EQ(resolve_to_paths(g, dag, 0, n - 1).size(), 1U); +} diff --git a/tests/cpp/search_fault_tests.cpp b/tests/cpp/search_fault_tests.cpp new file mode 100644 index 0000000..177fad2 --- /dev/null +++ b/tests/cpp/search_fault_tests.cpp @@ -0,0 +1,254 @@ +// Allocation-failure atomicity of the search (APPROACH 13): every allocation an spf call makes +// (the workspace's acquisition and growth, the tight-edge pool, both queues, the pruning and the +// extraction scratch, the emitted DAG and the result) fails once; the call raises std::bad_alloc, +// and a clean retry and a different query afterwards give their references, so the thread's +// workspace is restored on every exit (no touched node, mark, list or queue entry survives). +// Runs in the fault-injection executable (fault_injection.hpp). +#include + +#include +#include +#include +#include +#include +#include +#include +#include + +#include "fault_injection.hpp" +#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/detail/traversal.hpp" +#include "netgraph/core/search.hpp" +#include "test_utils.hpp" + +using namespace netgraph::core; +using namespace netgraph::core::test; + +namespace { + +struct Query { + std::string name; + std::vector roots; + Direction direction; + std::optional> targets; + PathSelection selection; + bool residual; + SpfQueue queue; +}; + +Graph random_graph(int n, int m, Cost max_cost, unsigned seed) { + std::mt19937 rng(seed); + std::vector edges; + for (int i = 0; i < m; ++i) { + edges.push_back({static_cast(rng() % static_cast(n)), static_cast(rng() % static_cast(n)), + static_cast(1 + rng() % 4), static_cast(1 + rng() % static_cast(max_cost))}); + } + return make_graph(n, edges); +} + +SpfResult run(const Graph& g, const Query& q, const std::vector& residual) { + SpfOptions o(q.direction, q.selection); + o.targets = q.targets; + if (q.residual) o.residual = std::span(residual); + return spf(g, q.roots, o, q.queue); +} + +void expect_same(const SpfResult& a, const SpfResult& b, const std::string& where) { + EXPECT_EQ(a.costs, b.costs) << where; + EXPECT_EQ(a.target_cost, b.target_cost) << where; + EXPECT_TRUE(a.dag == b.dag) << where; +} + +// Runs `attempt` in a new thread, whose workspace starts empty (every growth path of the first +// search is then reached), and on a std::bad_alloc runs `after` in the same thread (the injection +// is spent by then) before the exception reaches the caller's thread. +void in_fresh_thread(const std::function& attempt, const std::function& after) { + std::exception_ptr error; + std::thread worker([&] { + try { + attempt(); + } catch (const std::bad_alloc&) { + error = std::current_exception(); + after(); + } catch (...) { + error = std::current_exception(); + } + }); + worker.join(); + if (error) std::rethrow_exception(error); +} + +} // namespace + +TEST(SearchFaults, EveryAllocationOfSpfFailsCleanly) { + // A graph large enough that the pool and the queues grow past their first capacities, with + // lists of several entries (unit costs on a dense part). The tiny search before every attempt + // runs on the same workspace and reuses it, sized for the large graph (Lease reallocates only + // below n or above 4n + 4096 nodes, so it never shrinks here): each attempt starts from a + // workspace another graph used last. The acquisition of the node arrays is swept below, from + // fresh threads. + const auto big = random_graph(400, 2400, 3, 99); + const auto tiny = make_graph(3, {{0, 1, 1, 1}, {1, 2, 1, 1}}); + std::vector residual(static_cast(big.num_edges())); + for (std::size_t e = 0; e < residual.size(); ++e) residual[e] = big.capacity_units()[e] - static_cast(e % 2); + const PathSelection det(EdgeTieBreak::Deterministic, EdgePriority::Capacity); + const PathSelection collapse(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, true, false); + const PathSelection single(EdgeTieBreak::PreferHigherPriority, EdgePriority::Headroom, false, true); + const std::vector queries = { + {"full forward buckets", {0}, Direction::Forward, std::nullopt, det, false, SpfQueue::Auto}, + {"full forward heap", {0, 7}, Direction::Forward, std::nullopt, det, false, SpfQueue::Heap}, + {"full reverse collapse", {3}, Direction::Reverse, std::nullopt, collapse, true, SpfQueue::Auto}, + {"anycast forward", {1}, Direction::Forward, std::vector {250, 399, 17}, det, true, SpfQueue::Auto}, + {"anycast reverse heap", {250, 399}, Direction::Reverse, std::vector {1, 2}, collapse, false, SpfQueue::Heap}, + {"single path forward", {5}, Direction::Forward, std::vector {300}, single, true, SpfQueue::Auto}, + {"single path reverse", {300}, Direction::Reverse, std::vector {5, 6}, single, true, SpfQueue::Heap}, + }; + const Query other {"other", {2}, Direction::Forward, std::vector {123}, single, true, SpfQueue::Auto}; + std::vector want; + for (const auto& q : queries) want.push_back(run(big, q, residual)); + const auto want_other = run(big, other, residual); + const auto want_tiny = spf(tiny, std::vector {0}, SpfOptions(Direction::Forward, det)); + for (std::size_t i = 0; i < queries.size(); ++i) { + const auto& q = queries[i]; + long failures = 0; + for (long k = 0;; ++k) { + (void)spf(tiny, std::vector {0}, SpfOptions(Direction::Forward, det)); // reuses the workspace + std::optional got; + const bool hit = fails_at(k, [&] { got.emplace(run(big, q, residual)); }); + if (!hit) { + ASSERT_TRUE(got.has_value()) << q.name; + expect_same(*got, want[i], q.name + " without a failure"); + break; + } + ++failures; + EXPECT_FALSE(got.has_value()) << q.name << " at " << k; + // The retry, another query and a tiny search on this thread see a clean workspace. + expect_same(run(big, q, residual), want[i], q.name + " retry after " + std::to_string(k)); + expect_same(run(big, other, residual), want_other, q.name + " other after " + std::to_string(k)); + expect_same(spf(tiny, std::vector {0}, SpfOptions(Direction::Forward, det)), want_tiny, + q.name + " tiny after " + std::to_string(k)); + } + EXPECT_GE(failures, 8) << q.name; // the sweep reached the search's allocations, not only the result + // The same sweep from an empty workspace (a new thread per attempt): the first acquisition of + // the node arrays, the bucket arrays and the queues' storage fail too. + long fresh = 0; + for (long k = 0;; ++k) { + std::optional got; + const bool hit = fails_at(k, [&] { + in_fresh_thread([&] { got.emplace(run(big, q, residual)); }, + [&] { + expect_same(run(big, q, residual), want[i], q.name + " fresh retry after " + std::to_string(k)); + expect_same(run(big, other, residual), want_other, q.name + " fresh other after " + std::to_string(k)); + }); + }); + if (!hit) { + ASSERT_TRUE(got.has_value()) << q.name; + expect_same(*got, want[i], q.name + " fresh without a failure"); + break; + } + ++fresh; + } + EXPECT_GT(fresh, failures) << q.name; + } +} + +TEST(SearchFaults, InternalRouteSearchesFailCleanly) { + // The policies' entries (route_search, support_route, static_support, static_costs) under the + // same sweep: a failure leaves nothing behind for the next search. + const auto g = random_graph(200, 1200, 2, 7); + std::vector view(static_cast(g.num_edges())); + for (std::size_t e = 0; e < view.size(); ++e) view[e] = g.capacity_units()[e]; + const PathSelection single(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, false); + const std::vector dests = {150, 199}; + const auto want_route = detail::route_search(g, detail::Gate {nullptr, view, 1}, single, 3, dests); + const auto support = detail::static_support(g, dests, Direction::Reverse, nullptr); + const detail::PriorityValues values {&g, EdgePriority::Residual, view}; + const auto prio = detail::PriorityFn::of(values); + const auto want_support = detail::support_route(g, detail::PredDAGBuilder::ascending(support), 3, dests, single, prio); + const auto want_costs = detail::static_costs(g, nullptr, dests, std::vector {0, 1, 2, 3}); + std::vector> calls = { + [&] { + auto r = detail::route_search(g, detail::Gate {nullptr, view, 1}, single, 3, dests); + EXPECT_EQ(r->edges, want_route->edges); + }, + [&] { + auto r = detail::support_route(g, detail::PredDAGBuilder::ascending(support), 3, dests, single, prio); + EXPECT_EQ(r.edges, want_support.edges); + }, + [&] { EXPECT_TRUE(detail::static_support(g, dests, Direction::Reverse, nullptr) == support); }, + [&] { EXPECT_EQ(detail::static_costs(g, nullptr, dests, std::vector {0, 1, 2, 3}), want_costs); }, + }; + for (std::size_t c = 0; c < calls.size(); ++c) { + long failures = 0; + for (long k = 0;; ++k) { + const bool hit = fails_at(k, [&] { + in_fresh_thread(calls[c], [&] { + for (auto& call : calls) call(); // every entry clean afterwards, on the same thread + }); + }); + if (!hit) break; + ++failures; + } + EXPECT_GE(failures, 6) << "call " << c; + } +} + +TEST(SearchFaults, KspAndTheResolverFailCleanly) { + // ksp (the first path, every spur search, the candidate set, the Paths) and resolve_to_paths + // (the walk back, the hops, the per-node lists and heaps, the frame stack, the Paths): every + // allocation fails once, in a new thread each time (an empty workspace), and the thread's next + // calls give their references. + const auto g = random_graph(60, 300, 3, 21); + const PathSelection expand(EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity, true, true); + const PathSelection collapse(EdgeTieBreak::Deterministic, EdgePriority::Capacity, true, false); + auto ksp_of = [&](const PathSelection& s) { + KspOptions o(6, s); + o.max_path_cost = Stretch {3.0}; + return ksp(g, 0, 59, o); + }; + const auto want_expand = ksp_of(expand); + const auto want_collapse = ksp_of(collapse); + ASSERT_GE(want_expand.size(), 3U); + // Layers 0 -> {1..5} -> {6..10} -> 59 with a parallel pair: 26 equal shortest walks. + std::vector layered; + for (NodeId a = 1; a <= 5; ++a) layered.push_back({0, a, 1, 1}); + for (NodeId a = 1; a <= 5; ++a) { + for (NodeId b = 6; b <= 10; ++b) layered.push_back({a, b, 1, 1}); + } + for (NodeId b = 6; b <= 10; ++b) layered.push_back({b, 59, 1, 1}); + layered.push_back({10, 59, 1, 1}); + const auto unit = make_graph(60, layered); + SpfOptions full(Direction::Forward, PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)); + const auto dag = spf(unit, std::vector {0}, full).dag; + const auto want_paths = resolve_to_paths(unit, dag, 0, 59, true, 7); + ASSERT_GE(want_paths.size(), 2U); + auto same = [](const std::vector>& a, const std::vector>& b) { + if (a.size() != b.size()) return false; + for (std::size_t i = 0; i < a.size(); ++i) { + if (a[i].first != b[i].first || !(a[i].second == b[i].second)) return false; + } + return true; + }; + std::vector> calls = { + [&] { EXPECT_TRUE(same(ksp_of(expand), want_expand)); }, + [&] { EXPECT_TRUE(same(ksp_of(collapse), want_collapse)); }, + [&] { + const auto got = resolve_to_paths(unit, dag, 0, 59, true, 7); + ASSERT_EQ(got.size(), want_paths.size()); + for (std::size_t i = 0; i < got.size(); ++i) EXPECT_TRUE(got[i] == want_paths[i]); + }, + }; + for (std::size_t c = 0; c < calls.size(); ++c) { + long failures = 0; + for (long k = 0;; ++k) { + const bool hit = fails_at(k, [&] { + in_fresh_thread(calls[c], [&] { + for (auto& call : calls) call(); + }); + }); + if (!hit) break; + ++failures; + } + EXPECT_GE(failures, 10) << "call " << c; + } +} diff --git a/tests/cpp/search_reference.hpp b/tests/cpp/search_reference.hpp new file mode 100644 index 0000000..fc077ce --- /dev/null +++ b/tests/cpp/search_reference.hpp @@ -0,0 +1,206 @@ +// An independent reference of the search semantics (APPROACH 6) for the tests: the member graph +// by an explicit per-pair selection, Bellman-Ford distances, the tight-edge DAG and the pruned +// DAG by two-sided distances, and the canonical single path by enumerating every simple walk. +// It shares no code with the traversal core (no queue, no lists, no extractor). +#pragma once + +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/graph.hpp" +#include "netgraph/core/options.hpp" +#include "netgraph/core/types.hpp" + +namespace netgraph::core::test::ref { + +// An exact priority: residual / capacity as a rational, or an integer (den 1); `inf` above all. +struct Prio { + __int128 num {0}; + __int128 den {1}; + bool inf {false}; +}; +inline int cmp(const Prio& a, const Prio& b) { + if (a.inf || b.inf) return a.inf == b.inf ? 0 : (a.inf ? 1 : -1); + const __int128 l = a.num * b.den; + const __int128 r = b.num * a.den; + return l == r ? 0 : (l < r ? -1 : 1); +} + +struct Query { + const Graph* g {nullptr}; + const Eligibility* elig {nullptr}; + const std::vector* residual {nullptr}; + Amount min_residual {1}; + bool multi_edge {true}; + bool prefer {false}; + EdgePriority priority {EdgePriority::Capacity}; +}; + +inline Prio prio_of(const Query& q, EdgeId e) { + const auto ei = static_cast(e); + const Amount cap = q.g->capacity_units()[ei]; + if (q.residual == nullptr || q.priority == EdgePriority::Capacity) return {cap, 1, false}; + const Amount r = (*q.residual)[ei]; + if (q.priority == EdgePriority::Residual) return {r, 1, false}; + return {r, cap, false}; +} + +// The member flags per edge. +inline std::vector members(const Query& q) { + const Graph& g = *q.g; + const auto m = static_cast(g.num_edges()); + std::vector cand(m, 0); + for (std::size_t e = 0; e < m; ++e) { + if (q.elig != nullptr && !q.elig->edge_ok(static_cast(e))) continue; + if (g.capacity_units()[e] < 1) continue; + if (q.residual != nullptr && (*q.residual)[e] < q.min_residual) continue; + cand[e] = 1; + } + if (q.multi_edge) return cand; + // select_adjacency: the minimum cost, then the higher priority under prefer, then the lower id. + auto better = [&](EdgeId a, EdgeId b) { + const Cost ca = g.cost()[static_cast(a)]; + const Cost cb = g.cost()[static_cast(b)]; + if (ca != cb) return ca < cb; + if (q.prefer) { + const int c = cmp(prio_of(q, a), prio_of(q, b)); + if (c != 0) return c > 0; + } + return a < b; + }; + std::map, EdgeId> best; + for (std::size_t e = 0; e < m; ++e) { + if (cand[e] == 0) continue; + const auto key = std::make_pair(g.edge_src()[e], g.edge_dst()[e]); + auto it = best.find(key); + if (it == best.end()) { + best[key] = static_cast(e); + } else if (better(static_cast(e), it->second)) { + it->second = static_cast(e); + } + } + std::vector out(m, 0); + for (const auto& [k, e] : best) out[static_cast(e)] = 1; + return out; +} + +constexpr Cost kNone = kUnreachable; + +// Bellman-Ford over the members: from the set (forward) or toward it (reverse). +inline std::vector distances(const Graph& g, const std::vector& mem, const std::vector& set, + bool reverse) { + std::vector d(static_cast(g.num_nodes()), kNone); + for (NodeId v : set) d[static_cast(v)] = 0; + for (bool changed = true; changed;) { + changed = false; + for (std::size_t e = 0; e < mem.size(); ++e) { + if (mem[e] == 0) continue; + const auto a = static_cast(reverse ? g.edge_dst()[e] : g.edge_src()[e]); + const auto b = static_cast(reverse ? g.edge_src()[e] : g.edge_dst()[e]); + if (d[a] == kNone) continue; + const Cost nd = d[a] + g.cost()[e]; + if (nd < d[b]) { + d[b] = nd; + changed = true; + } + } + } + return d; +} + +// The full DAG of a search from (forward) or toward (reverse) the roots: tight member edges. +inline std::set full_dag(const Graph& g, const std::vector& mem, const std::vector& d, bool reverse) { + std::set out; + for (std::size_t e = 0; e < mem.size(); ++e) { + if (mem[e] == 0) continue; + const Cost du = d[static_cast(g.edge_src()[e])]; + const Cost dv = d[static_cast(g.edge_dst()[e])]; + if (du == kNone || dv == kNone) continue; + if (reverse ? dv + g.cost()[e] == du : du + g.cost()[e] == dv) out.insert(static_cast(e)); + } + return out; +} + +// The walks from the start set to the end set of minimum cost d*: (d*, their edges); d* kNone +// when no end is reachable. +inline std::pair> pruned(const Graph& g, const std::vector& mem, + const std::vector& starts, const std::vector& ends) { + const auto ds = distances(g, mem, starts, false); + const auto de = distances(g, mem, ends, true); + Cost dstar = kNone; + for (NodeId t : ends) dstar = std::min(dstar, ds[static_cast(t)]); + std::set out; + if (dstar == kNone) return {dstar, out}; + for (std::size_t e = 0; e < mem.size(); ++e) { + if (mem[e] == 0) continue; + const Cost du = ds[static_cast(g.edge_src()[e])]; + const Cost dv = de[static_cast(g.edge_dst()[e])]; + if (du != kNone && dv != kNone && du + g.cost()[e] + dv == dstar) out.insert(static_cast(e)); + } + return {dstar, out}; +} + +// Every simple walk from a start to an end (stopping at the first end entered) over the members. +inline void walks(const Graph& g, const std::vector& mem, NodeId u, const std::vector& is_end, + std::vector& walk, std::vector& on, std::vector>& out) { + if (is_end[static_cast(u)] != 0) { + out.push_back(walk); + return; + } + for (std::size_t e = 0; e < mem.size(); ++e) { + if (mem[e] == 0 || g.edge_src()[e] != u) continue; + const NodeId v = g.edge_dst()[e]; + if (on[static_cast(v)] != 0) continue; + on[static_cast(v)] = 1; + walk.push_back(static_cast(e)); + walks(g, mem, v, is_end, walk, on, out); + walk.pop_back(); + on[static_cast(v)] = 0; + } +} + +// The canonical key (cost, -bottleneck under prefer, hops, edge-id sequence) as a strict order. +inline bool key_less(const Query& q, const std::vector& a, const std::vector& b) { + const Graph& g = *q.g; + Cost ca = 0, cb = 0; + for (EdgeId e : a) ca += g.cost()[static_cast(e)]; + for (EdgeId e : b) cb += g.cost()[static_cast(e)]; + if (ca != cb) return ca < cb; + if (q.prefer) { + Prio ba {0, 1, true}, bb {0, 1, true}; + for (EdgeId e : a) { + if (cmp(prio_of(q, e), ba) < 0) ba = prio_of(q, e); + } + for (EdgeId e : b) { + if (cmp(prio_of(q, e), bb) < 0) bb = prio_of(q, e); + } + const int c = cmp(ba, bb); + if (c != 0) return c > 0; + } + if (a.size() != b.size()) return a.size() < b.size(); + return a < b; +} + +// The canonical single path from the start set to the end set, or nullopt. +inline std::optional> canonical(const Query& q, const std::vector& mem, + const std::vector& starts, const std::vector& ends) { + const Graph& g = *q.g; + std::vector is_end(static_cast(g.num_nodes()), 0); + for (NodeId t : ends) is_end[static_cast(t)] = 1; + std::vector> all; + for (NodeId s : starts) { + std::vector walk; + std::vector on(static_cast(g.num_nodes()), 0); + on[static_cast(s)] = 1; + walks(g, mem, s, is_end, walk, on, all); + } + if (all.empty()) return std::nullopt; + return *std::min_element(all.begin(), all.end(), [&](const auto& a, const auto& b) { return key_less(q, a, b); }); +} + +} // namespace netgraph::core::test::ref diff --git a/tests/cpp/search_tests.cpp b/tests/cpp/search_tests.cpp index 03c4b98..173a912 100644 --- a/tests/cpp/search_tests.cpp +++ b/tests/cpp/search_tests.cpp @@ -1,19 +1,28 @@ -// The internal search of APPROACH 6: the member graph and -// select_adjacency, the unique DAG in both directions, anycast pruning, the staged canonical -// single path on the review witnesses and against exhaustive enumeration, validation. +// The search of APPROACH 6 through the public spf and the traversal core's internal entries: the +// member graph and select_adjacency, the unique DAG in both directions, anycast pruning, the staged +// canonical single path on the review witnesses, the canonical predecessor order, both queues and +// their dispatch, and agreement with an independent reference (search_reference.hpp) on random +// graphs. #include #include #include #include +#include +#include +#include #include +#include #include #include -#include +#include #include -#include "netgraph/core/detail/search.hpp" +#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/detail/traversal.hpp" #include "netgraph/core/options.hpp" +#include "netgraph/core/search.hpp" +#include "search_reference.hpp" #include "test_utils.hpp" using namespace netgraph::core; @@ -21,19 +30,11 @@ using namespace netgraph::core::test; namespace { -PathSelection sel(bool multipath = true, bool multi_edge = true, - EdgeTieBreak tie = EdgeTieBreak::Deterministic, EdgePriority prio = EdgePriority::Residual) { +PathSelection sel(bool multipath = true, bool multi_edge = true, EdgeTieBreak tie = EdgeTieBreak::Deterministic, + EdgePriority prio = EdgePriority::Residual) { return PathSelection(tie, prio, multipath, multi_edge); } -std::vector members_of(const std::vector& mask) { - std::vector out; - for (std::size_t e = 0; e < mask.size(); ++e) { - if (mask[e] != 0) out.push_back(static_cast(e)); - } - return out; -} - std::string error_of(const std::function& fn) { try { fn(); @@ -43,55 +44,105 @@ std::string error_of(const std::function& fn) { return ""; } -detail::SpfOut run(const Graph& g, std::vector roots, Direction dir, - std::optional> targets, const PathSelection& s, - std::optional> residual = std::nullopt, Amount min_residual = 1, - const Eligibility* elig = nullptr) { - std::optional> t; - if (targets.has_value()) t = std::span(*targets); - std::optional> r; - if (residual.has_value()) r = std::span(*residual); - return detail::spf(g, roots, dir, t, s, r, min_residual, elig); +SpfResult run(const Graph& g, std::vector roots, Direction dir, std::optional> targets, + const PathSelection& s, const std::vector* residual = nullptr, Amount min_residual = 1, + const Eligibility* elig = nullptr, SpfQueue queue = SpfQueue::Auto) { + SpfOptions o(dir, s); + o.targets = std::move(targets); + if (residual != nullptr) o.residual = std::span(*residual); + o.min_residual = min_residual; + o.elig = elig; + return spf(g, roots, o, queue); +} + +std::vector edges_of(const PredDAG& dag) { + std::vector v(dag.via_edges().begin(), dag.via_edges().end()); + std::sort(v.begin(), v.end()); + return v; +} + +std::vector sorted(std::vector v) { + std::sort(v.begin(), v.end()); + return v; +} + +// The DAG's canonical form: entries grouped by child, strictly ascending via within a child, +// every via joining (parent, child); the internal ascending list equals the sorted via. +void expect_canonical(const Graph& g, const PredDAG& dag) { + const auto off = dag.parent_offsets(); + ASSERT_EQ(off.size(), static_cast(g.num_nodes()) + 1); + for (std::size_t v = 0; v + 1 < off.size(); ++v) { + for (auto k = off[v]; k < off[v + 1]; ++k) { + const auto e = static_cast(dag.via_edges()[static_cast(k)]); + EXPECT_EQ(g.edge_dst()[e], static_cast(v)); + EXPECT_EQ(g.edge_src()[e], dag.parents()[static_cast(k)]); + if (k > off[v]) EXPECT_LT(dag.via_edges()[static_cast(k) - 1], dag.via_edges()[static_cast(k)]); + } + } + const auto asc = detail::PredDAGBuilder::ascending(dag); + EXPECT_EQ(std::vector(asc.begin(), asc.end()), edges_of(dag)); } } // namespace TEST(Search, MemberGraphStaticEligibilityCapacityAndResidual) { - // ids: 0: 0->1 cap 0, 1: 0->1 cap 3, 2: 0->1 cap 5 (cost 2), 3: 1->2 cap 4 + // ids: 0: 0->1 cap 0, 1: 0->1 cap 3, 2: 0->1 cap 5 (cost 2), 3: 1->2 cap 4. A full search keeps + // the tight members: the cost-2 member is never tight while a cost-1 member exists. auto g = make_graph(3, {{0, 1, 0, 1}, {0, 1, 3, 1}, {0, 1, 5, 2}, {1, 2, 4, 1}}); - auto m = detail::member_mask(g, nullptr, sel(), {}, 1); - EXPECT_EQ(members_of(m), (std::vector{1, 2, 3})); // capacity < 1 unit never routable + EXPECT_EQ(edges_of(run(g, {0}, Direction::Forward, std::nullopt, sel()).dag), (std::vector{1, 3})); + // A residual gates at min_residual: residual [0, 1, 5, 4] at 2 units removes id 1, so the + // cost-2 member carries node 1 (distance 2). const std::vector res = {0, 1, 5, 4}; - EXPECT_EQ(members_of(detail::member_mask(g, nullptr, sel(), res, 1)), (std::vector{1, 2, 3})); - EXPECT_EQ(members_of(detail::member_mask(g, nullptr, sel(), res, 2)), (std::vector{2, 3})); + auto gated = run(g, {0}, Direction::Forward, std::nullopt, sel(), &res, 2); + EXPECT_EQ(*gated.costs, (std::vector{0, 2, 3})); + EXPECT_EQ(edges_of(gated.dag), (std::vector{2, 3})); + // min_residual without a residual gates nothing (static eligibility stays one unit). + auto static_only = run(g, {0}, Direction::Forward, std::nullopt, sel(), nullptr, 4); + EXPECT_EQ(*static_only.costs, (std::vector{0, 1, 2})); const std::vector xe = {3}; auto el = g.eligibility({}, xe); - EXPECT_EQ(members_of(detail::member_mask(g, &el, sel(), {}, 1)), (std::vector{1, 2})); + auto masked = run(g, {0}, Direction::Forward, std::nullopt, sel(), nullptr, 1, &el); + EXPECT_EQ(*masked.costs, (std::vector{0, 1, kUnreachable})); } TEST(Search, CollapseBySelectAdjacency) { // Parallel 0->1: id 0 cost 1 cap 2, id 1 cost 1 cap 6, id 2 cost 1 cap 4, id 3 cost 2 cap 9. auto g = make_graph(2, {{0, 1, 2, 1}, {0, 1, 6, 1}, {0, 1, 4, 1}, {0, 1, 9, 2}}); - // Deterministic: minimum cost, then the lowest EdgeId. - EXPECT_EQ(members_of(detail::member_mask(g, nullptr, sel(true, false), {}, 1)), (std::vector{0})); + auto member = [&](const PathSelection& s, const std::vector* res = nullptr) { + return edges_of(run(g, {0}, Direction::Forward, std::nullopt, s, res).dag); + }; + // Expand keeps every tight member; Deterministic Collapse the lowest EdgeId among the cheapest. + EXPECT_EQ(member(sel()), (std::vector{0, 1, 2})); + EXPECT_EQ(member(sel(true, false)), (std::vector{0})); // PreferHigherPriority on Capacity: the highest capacity among the cheapest. - auto cap = sel(true, false, EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity); - EXPECT_EQ(members_of(detail::member_mask(g, nullptr, cap, {}, 1)), (std::vector{1})); + EXPECT_EQ(member(sel(true, false, EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity)), (std::vector{1})); // Residual priority reads the residual; equal residual keeps the lowest id. - auto resid = sel(true, false, EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual); - EXPECT_EQ(members_of(detail::member_mask(g, nullptr, resid, std::vector {2, 1, 2, 9}, 1)), - (std::vector{0})); - EXPECT_EQ(members_of(detail::member_mask(g, nullptr, resid, std::vector {1, 1, 3, 9}, 1)), - (std::vector{2})); + const auto resid = sel(true, false, EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual); + const std::vector r1 = {2, 1, 2, 9}; + const std::vector r2 = {1, 1, 3, 9}; + EXPECT_EQ(member(resid, &r1), (std::vector{0})); + EXPECT_EQ(member(resid, &r2), (std::vector{2})); // Headroom compares residual / capacity exactly: 1/2 < 4/6 = 2/3 > 2/4. - auto head = sel(true, false, EdgeTieBreak::PreferHigherPriority, EdgePriority::Headroom); - EXPECT_EQ(members_of(detail::member_mask(g, nullptr, head, std::vector {1, 4, 2, 9}, 1)), - (std::vector{1})); + const auto head = sel(true, false, EdgeTieBreak::PreferHigherPriority, EdgePriority::Headroom); + const std::vector h1 = {1, 4, 2, 9}; + const std::vector h2 = {1, 1, 2, 9}; + EXPECT_EQ(member(head, &h1), (std::vector{1})); // Equal rational headroom (2/4 == 1/2): the lowest EdgeId. - EXPECT_EQ(members_of(detail::member_mask(g, nullptr, head, std::vector {1, 1, 2, 9}, 1)), - (std::vector{0})); + EXPECT_EQ(member(head, &h2), (std::vector{0})); // Without a residual every priority reads static capacities. - EXPECT_EQ(members_of(detail::member_mask(g, nullptr, resid, {}, 1)), (std::vector{1})); + EXPECT_EQ(member(resid), (std::vector{1})); +} + +TEST(Search, HeadroomRationalsBeyondDoubles) { + // review-1d-refine's witness: (a - 1) / a < a / (a + 1) for a = 2^54, while both round to the + // same double. Parallel 0->1 members: id 0 residual a - 1 of capacity a, id 1 residual a of + // capacity a + 1; Headroom Collapse must keep id 1. + const Amount a = Amount {1} << 54; + auto g = make_graph(2, {{0, 1, a, 1}, {0, 1, a + 1, 1}}); + const std::vector res = {a - 1, a}; + auto r = run(g, {0}, Direction::Forward, std::nullopt, + sel(true, false, EdgeTieBreak::PreferHigherPriority, EdgePriority::Headroom), &res); + EXPECT_EQ(edges_of(r.dag), (std::vector{1})); } TEST(Search, FullDagForwardAndReverse) { @@ -99,18 +150,44 @@ TEST(Search, FullDagForwardAndReverse) { auto g = make_graph(4, {{0, 1, 1, 1}, {0, 1, 1, 1}, {0, 2, 1, 2}, {1, 3, 1, 1}, {2, 3, 1, 1}}); auto f = run(g, {0}, Direction::Forward, std::nullopt, sel()); ASSERT_TRUE(f.costs.has_value()); + EXPECT_FALSE(f.target_cost.has_value()); EXPECT_EQ(*f.costs, (std::vector{0, 1, 2, 2})); // Tight edges: both parallel members, 0->2 (d(2) = 2) and 1->3; 2->3 is not tight (2 + 1 > 2). - EXPECT_EQ(f.edges, (std::vector{0, 1, 2, 3})); + EXPECT_EQ(edges_of(f.dag), (std::vector{0, 1, 2, 3})); + expect_canonical(g, f.dag); auto r = run(g, {3}, Direction::Reverse, std::nullopt, sel()); EXPECT_EQ(*r.costs, (std::vector{2, 1, 1, 0})); // The reverse DAG toward 3 is the forward-oriented set of tight edges toward 3. - EXPECT_EQ(r.edges, (std::vector{0, 1, 3, 4})); + EXPECT_EQ(edges_of(r.dag), (std::vector{0, 1, 3, 4})); + expect_canonical(g, r.dag); // Unreached nodes keep kUnreachable. auto u = run(g, {2}, Direction::Forward, std::nullopt, sel()); EXPECT_EQ(*u.costs, (std::vector{kUnreachable, kUnreachable, 0, 1})); } +TEST(Search, PredecessorOrderIsAscendingViaIndependentlyOfDiscovery) { + // review-1d-refine's four-node witness: ids 0: 0->1 (1), 1: 0->2 (2), 2: 1->3 (2), 3: 2->3 (1). + // Node 3's tight parents are discovered via 2 (from node 1, settled first) and then via 3; the + // list holds them newest first, [3, 2]; the DAG must list [2, 3] whatever the queue. + auto g = make_graph(4, {{0, 1, 1, 1}, {0, 2, 1, 2}, {1, 3, 1, 2}, {2, 3, 1, 1}}); + for (auto q : {SpfQueue::Auto, SpfQueue::Heap}) { + for (bool targets : {false, true}) { + auto r = run(g, {0}, Direction::Forward, targets ? std::optional>(std::vector {3}) + : std::nullopt, + sel(), nullptr, 1, nullptr, q); + const auto off = r.dag.parent_offsets(); + ASSERT_EQ(off[4] - off[3], 2); + EXPECT_EQ(r.dag.via_edges()[static_cast(off[3])], 2); + EXPECT_EQ(r.dag.via_edges()[static_cast(off[3]) + 1], 3); + expect_canonical(g, r.dag); + } + } + // The same through the reverse search, whose lists hang on the tails. + auto rev = run(g, {3}, Direction::Reverse, std::nullopt, sel()); + expect_canonical(g, rev.dag); + EXPECT_EQ(edges_of(rev.dag), (std::vector{0, 1, 2, 3})); +} + TEST(Search, AnycastPruningAndDirectionIndependence) { // 0->1 (1), 1->2 (1), 0->3 (2), 3->2 (5), 1->4 (5): targets {2, 4}: nearest is 2 at cost 2. auto g = make_graph(5, {{0, 1, 1, 1}, {1, 2, 1, 1}, {0, 3, 1, 2}, {3, 2, 1, 5}, {1, 4, 1, 5}}); @@ -119,58 +196,108 @@ TEST(Search, AnycastPruningAndDirectionIndependence) { ASSERT_TRUE(f.target_cost.has_value()); EXPECT_EQ(*f.target_cost, 2); EXPECT_FALSE(f.costs.has_value()); - std::vector want = {inv[0], inv[1]}; - std::sort(want.begin(), want.end()); - EXPECT_EQ(f.edges, want); + EXPECT_EQ(edges_of(f.dag), sorted({inv[0], inv[1]})); // A reverse search rooted at the targets with the source as its target: the same edges. auto r = run(g, {2, 4}, Direction::Reverse, std::vector {0}, sel()); - EXPECT_EQ(r.edges, f.edges); + EXPECT_EQ(edges_of(r.dag), edges_of(f.dag)); EXPECT_EQ(r.target_cost, f.target_cost); - // No reachable target: nullopt, no edges. + // No reachable target: kUnreachable, no edges. auto none = run(g, {2}, Direction::Forward, std::vector {0}, sel()); - EXPECT_FALSE(none.target_cost.has_value()); - EXPECT_TRUE(none.edges.empty()); + EXPECT_EQ(none.target_cost, kUnreachable); + EXPECT_TRUE(none.dag.via_edges().empty()); +} + +TEST(Search, AnycastKeepsEveryEquallyNearTarget) { + // Two targets at the same distance through different branches, a third farther: the search + // stops at the first target popped but keeps the walks to both nearest ones. + // ids by input: 0: 0->1, 1: 0->2, 2: 1->3, 3: 2->4, 4: 0->5 (cost 5). + auto g = make_graph(6, {{0, 1, 1, 1}, {0, 2, 1, 1}, {1, 3, 1, 1}, {2, 4, 1, 1}, {0, 5, 1, 5}}); + const auto inv = id_of_input(g); + for (auto q : {SpfQueue::Auto, SpfQueue::Heap}) { + auto r = run(g, {0}, Direction::Forward, std::vector {3, 4, 5}, sel(), nullptr, 1, nullptr, q); + EXPECT_EQ(r.target_cost, 2); + EXPECT_EQ(edges_of(r.dag), sorted({inv[0], inv[1], inv[2], inv[3]})); + } } TEST(Search, ExcludedRootsAndTargetsAreSkipped) { auto g = make_graph(3, {{0, 1, 1, 1}, {1, 2, 1, 1}}); const std::vector xn = {0}; auto el = g.eligibility(xn, {}); - auto r = run(g, {0}, Direction::Forward, std::vector {2}, sel(), std::nullopt, 1, &el); - EXPECT_FALSE(r.target_cost.has_value()); - EXPECT_TRUE(r.edges.empty()); - auto full = run(g, {0}, Direction::Forward, std::nullopt, sel(), std::nullopt, 1, &el); + auto r = run(g, {0}, Direction::Forward, std::vector {2}, sel(), nullptr, 1, &el); + EXPECT_EQ(r.target_cost, kUnreachable); + EXPECT_TRUE(r.dag.via_edges().empty()); + auto full = run(g, {0}, Direction::Forward, std::nullopt, sel(), nullptr, 1, &el); EXPECT_EQ(*full.costs, (std::vector{kUnreachable, kUnreachable, kUnreachable})); + // An excluded root in a set is skipped; the others search. + auto two = run(g, {0, 1}, Direction::Forward, std::nullopt, sel(), nullptr, 1, &el); + EXPECT_EQ(*two.costs, (std::vector{kUnreachable, 0, 1})); + // An excluded target is unreachable; another target still counts. + const std::vector x2 = {2}; + auto el2 = g.eligibility(x2, {}); + auto t = run(g, {0}, Direction::Forward, std::vector {1, 2}, sel(), nullptr, 1, &el2); + EXPECT_EQ(t.target_cost, 1); } -TEST(Search, ValidationBeforeAnyWork) { +TEST(Search, ValidationBeforeAnyWorkInTheContractOrder) { auto g = make_graph(3, {{0, 1, 2, 1}, {1, 2, 2, 1}}); auto other = make_graph(3, {{0, 1, 2, 1}}); auto foreign = other.eligibility({}, std::vector {0}); - EXPECT_NE(error_of([&] { (void)run(g, {}, Direction::Forward, std::nullopt, sel()); }).find("roots"), std::string::npos); - EXPECT_NE(error_of([&] { (void)run(g, {3}, Direction::Forward, std::nullopt, sel()); }).find("out of node range"), - std::string::npos); - EXPECT_NE(error_of([&] { (void)run(g, {0}, Direction::Forward, std::vector {}, sel()); }).find("targets"), - std::string::npos); - EXPECT_NE(error_of([&] { (void)run(g, {0, 1}, Direction::Forward, std::vector {1}, sel()); }) - .find("both endpoint sets"), - std::string::npos); - EXPECT_NE(error_of([&] { (void)run(g, {0}, Direction::Forward, std::nullopt, sel(false)); }).find("requires targets"), - std::string::npos); - EXPECT_NE(error_of([&] { - (void)run(g, {0}, Direction::Forward, std::nullopt, sel(), std::vector {1}); - }).find("residual has length"), - std::string::npos); - EXPECT_NE(error_of([&] { - (void)run(g, {0}, Direction::Forward, std::nullopt, sel(), std::vector {1, 3}); - }).find("outside [0, capacity_units"), - std::string::npos); - EXPECT_NE(error_of([&] { (void)run(g, {0}, Direction::Forward, std::nullopt, sel(), std::nullopt, 0); }) - .find("min_residual"), - std::string::npos); - EXPECT_NE(error_of([&] { (void)run(g, {0}, Direction::Forward, std::nullopt, sel(), std::nullopt, 1, &foreign); }) - .find("foreign Eligibility"), - std::string::npos); + const std::vector short_res = {1}; + const std::vector big_res = {1, 3}; + const std::vector ok_res = {1, 1}; + EXPECT_EQ(error_of([&] { (void)run(g, {}, Direction::Forward, std::nullopt, sel()); }), "roots: the node set is empty"); + EXPECT_EQ(error_of([&] { (void)run(g, {3}, Direction::Forward, std::nullopt, sel()); }), + "roots: node 3 out of node range [0, 3)"); + EXPECT_EQ(error_of([&] { (void)run(g, {0}, Direction::Forward, std::vector {}, sel()); }), + "targets: the node set is empty"); + EXPECT_EQ(error_of([&] { (void)run(g, {0}, Direction::Forward, std::vector {-1}, sel()); }), + "targets: node -1 out of node range [0, 3)"); + EXPECT_EQ(error_of([&] { (void)run(g, {0, 1}, Direction::Forward, std::vector {1}, sel()); }), + "node 1 is in both endpoint sets: roots and targets must not overlap"); + EXPECT_EQ(error_of([&] { (void)run(g, {0}, Direction::Forward, std::nullopt, sel(false)); }), + "multipath = false requires targets (the single path joins a root to a target)"); + EXPECT_EQ(error_of([&] { (void)run(g, {0}, Direction::Forward, std::nullopt, sel(), &short_res); }), + "residual has length 1, expected 2 (one entry per edge)"); + EXPECT_EQ(error_of([&] { (void)run(g, {0}, Direction::Forward, std::nullopt, sel(), &big_res); }), + "residual[1] = 3 is outside [0, capacity_units[1] = 2]"); + EXPECT_EQ(error_of([&] { (void)run(g, {0}, Direction::Forward, std::nullopt, sel(), nullptr, 0); }), + "min_residual must be at least 1 unit (got 0)"); + EXPECT_EQ(error_of([&] { (void)run(g, {0}, Direction::Forward, std::nullopt, sel(), nullptr, 1, &foreign); }), + "foreign Eligibility: built for another graph"); + // The order when several defects apply: roots before targets before the overlap before the + // single path before the residual before min_residual before the Eligibility. + EXPECT_EQ(error_of([&] { (void)run(g, {}, Direction::Forward, std::vector {}, sel()); }), + "roots: the node set is empty"); + EXPECT_EQ(error_of([&] { (void)run(g, {0}, Direction::Forward, std::vector {0, 7}, sel()); }), + "targets: node 7 out of node range [0, 3)"); + EXPECT_EQ(error_of([&] { (void)run(g, {0}, Direction::Forward, std::vector {0}, sel(), &short_res); }), + "node 0 is in both endpoint sets: roots and targets must not overlap"); + EXPECT_EQ(error_of([&] { (void)run(g, {0}, Direction::Forward, std::nullopt, sel(false), &short_res, 0); }), + "multipath = false requires targets (the single path joins a root to a target)"); + EXPECT_EQ(error_of([&] { (void)run(g, {0}, Direction::Forward, std::nullopt, sel(), &big_res, 0, &foreign); }), + "residual[1] = 3 is outside [0, capacity_units[1] = 2]"); + EXPECT_EQ(error_of([&] { (void)run(g, {0}, Direction::Forward, std::nullopt, sel(), &ok_res, 0, &foreign); }), + "min_residual must be at least 1 unit (got 0)"); + // Every root excluded with valid sets is an empty result, never an error; an excluded root + // does not excuse a defect. + const std::vector all = {0, 1, 2}; + auto none = g.eligibility(all, {}); + EXPECT_EQ(run(g, {0}, Direction::Forward, std::vector {2}, sel(), nullptr, 1, &none).target_cost, kUnreachable); + EXPECT_EQ(error_of([&] { (void)run(g, {0}, Direction::Forward, std::vector {0}, sel(), nullptr, 1, &none); }), + "node 0 is in both endpoint sets: roots and targets must not overlap"); + // Enumeration values outside their enumeration, at construction and at the entry. + EXPECT_EQ(error_of([&] { SpfOptions o(static_cast(9), sel()); }), "direction: 9 is not a value of Direction"); + SpfOptions bad(Direction::Forward, sel()); + bad.direction = static_cast(7); + EXPECT_EQ(error_of([&] { (void)spf(g, std::vector {0}, bad); }), "direction: 7 is not a value of Direction"); + SpfOptions bad_sel(Direction::Forward, sel()); + bad_sel.selection.priority = static_cast(5); + EXPECT_EQ(error_of([&] { (void)spf(g, std::vector {0}, bad_sel); }), + "selection.priority: 5 is not a value of EdgePriority"); + SpfOptions good(Direction::Forward, sel()); + EXPECT_EQ(error_of([&] { (void)spf(g, std::vector {0}, good, static_cast(3)); }), + "queue: 3 is not a value of SpfQueue"); } TEST(Search, StagedPathReview13D3Witness) { @@ -180,15 +307,12 @@ TEST(Search, StagedPathReview13D3Witness) { auto g = make_graph(5, {{0, 1, 1, 1}, {1, 4, 1, 3}, {1, 2, 2, 1}, {2, 3, 2, 1}, {3, 4, 2, 1}}); const auto inv = id_of_input(g); for (auto tie : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { - auto r = run(g, {0}, Direction::Forward, std::vector {4}, - sel(false, true, tie, EdgePriority::Capacity)); - ASSERT_TRUE(r.path.has_value()); - EXPECT_EQ(r.path->walk, (std::vector{inv[0], inv[1]})); - EXPECT_EQ(r.path->cost, 4); + auto r = run(g, {0}, Direction::Forward, std::vector {4}, sel(false, true, tie, EdgePriority::Capacity)); + EXPECT_EQ(edges_of(r.dag), sorted({inv[0], inv[1]})); + EXPECT_EQ(r.target_cost, 4); // The reverse call with the roles swapped returns the same walk. auto rev = run(g, {4}, Direction::Reverse, std::vector {0}, sel(false, true, tie, EdgePriority::Capacity)); - ASSERT_TRUE(rev.path.has_value()); - EXPECT_EQ(rev.path->walk, r.path->walk); + EXPECT_EQ(edges_of(rev.dag), edges_of(r.dag)); } } @@ -199,116 +323,40 @@ TEST(Search, StagedPathBottleneckThenHopsThenIds) { auto g = make_graph(4, {{0, 1, 5, 1}, {1, 3, 1, 1}, {0, 2, 3, 1}, {2, 3, 3, 1}, {0, 3, 2, 2}}); const auto inv = id_of_input(g); auto det = run(g, {0}, Direction::Forward, std::vector {3}, sel(false)); - EXPECT_EQ(det.path->walk, (std::vector{inv[4]})); + EXPECT_EQ(edges_of(det.dag), (std::vector{inv[4]})); auto pri = run(g, {0}, Direction::Forward, std::vector {3}, sel(false, true, EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity)); - EXPECT_EQ(pri.path->walk, (std::vector{inv[2], inv[3]})); + EXPECT_EQ(edges_of(pri.dag), sorted({inv[2], inv[3]})); // Residual priority reads the residual: on capacities 5 everywhere and residuals by input // [5, 4, 1, 3, 2], 0->1->3 has bottleneck 4, 0->2->3 has 1, the direct edge 2: B* = 4. auto g5 = make_graph(4, {{0, 1, 5, 1}, {1, 3, 5, 1}, {0, 2, 5, 1}, {2, 3, 5, 1}, {0, 3, 5, 2}}); const auto inv5 = id_of_input(g5); const auto residual = to_ids(g5, std::vector {5, 4, 1, 3, 2}); auto res = run(g5, {0}, Direction::Forward, std::vector {3}, - sel(false, true, EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual), residual); - EXPECT_EQ(res.path->walk, (std::vector{inv5[0], inv5[1]})); + sel(false, true, EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual), &residual); + EXPECT_EQ(edges_of(res.dag), sorted({inv5[0], inv5[1]})); // Capacity priority on the same graph: every walk has bottleneck 5, so hops decide. auto cap5 = run(g5, {0}, Direction::Forward, std::vector {3}, - sel(false, true, EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity), residual); - EXPECT_EQ(cap5.path->walk, (std::vector{inv5[4]})); + sel(false, true, EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity), &residual); + EXPECT_EQ(edges_of(cap5.dag), (std::vector{inv5[4]})); // Deterministic ignores capacities and residuals entirely. - auto det_res = run(g5, {0}, Direction::Forward, std::vector {3}, sel(false), residual); - EXPECT_EQ(det_res.path->walk, (std::vector{inv5[4]})); -} - -namespace { - -// Every simple path from a source to a destination over the members (tiny graphs). -void enumerate(const Graph& g, const std::vector& member, NodeId u, - const std::vector& dsts, std::vector& walk, std::vector& on, - std::vector>& out) { - if (std::find(dsts.begin(), dsts.end(), u) != dsts.end()) { - out.push_back(walk); - return; - } - const auto row = g.row_offsets(); - for (auto e = row[static_cast(u)]; e < row[static_cast(u) + 1]; ++e) { - if (member[static_cast(e)] == 0) continue; - const NodeId v = g.edge_dst()[static_cast(e)]; - if (on[static_cast(v)] != 0) continue; - on[static_cast(v)] = 1; - walk.push_back(e); - enumerate(g, member, v, dsts, walk, on, out); - walk.pop_back(); - on[static_cast(v)] = 0; - } + auto det_res = run(g5, {0}, Direction::Forward, std::vector {3}, sel(false), &residual); + EXPECT_EQ(edges_of(det_res.dag), (std::vector{inv5[4]})); } -} // namespace - -TEST(Search, StagedPathAgainstEnumeration) { - // The canonical key (cost, -bottleneck under PreferHigherPriority, hops, edge-id sequence) - // over every simple walk of the member graph, against the staged construction. - std::mt19937 rng(20261004); - int checked = 0; - for (int trial = 0; trial < 2000; ++trial) { - const int n = 2 + static_cast(rng() % 6); - const int m = 1 + static_cast(rng() % 14); - std::vector edges; - for (int i = 0; i < m; ++i) { - edges.push_back({static_cast(rng() % n), static_cast(rng() % n), - static_cast(rng() % 5), static_cast(1 + rng() % 3)}); - } - auto g = make_graph(n, edges); - std::vector residual(static_cast(g.num_edges())); - for (std::size_t e = 0; e < residual.size(); ++e) { - const Amount c = g.capacity_units()[e]; - residual[e] = c == 0 ? 0 : static_cast(rng() % static_cast(c + 1)); - } - const bool use_res = (rng() % 2) == 0; - const auto tie = (rng() % 2) == 0 ? EdgeTieBreak::Deterministic : EdgeTieBreak::PreferHigherPriority; - const EdgePriority prios[3] = {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}; - const auto prio = prios[rng() % 3]; - const bool multi_edge = (rng() % 2) == 0; - const NodeId s = static_cast(rng() % n); - NodeId t = static_cast(rng() % n); - if (t == s) t = static_cast((s + 1) % n); - const auto selection = sel(false, multi_edge, tie, prio); - std::optional> res; - if (use_res) res = residual; - auto got = run(g, {s}, Direction::Forward, std::vector {t}, selection, res); - const auto member = detail::member_mask(g, nullptr, selection, use_res ? std::span(residual) - : std::span {}, 1); - std::vector> walks; - std::vector walk; - std::vector on(static_cast(n), 0); - on[static_cast(s)] = 1; - enumerate(g, member, s, {t}, walk, on, walks); - if (walks.empty()) { - EXPECT_FALSE(got.path.has_value()); - continue; - } - const detail::PriorityValues pv {&g, prio, use_res ? std::span(residual) : std::span {}}; - auto key_less = [&](const std::vector& a, const std::vector& b) { - Cost ca = 0, cb = 0; - for (EdgeId e : a) ca += g.cost()[static_cast(e)]; - for (EdgeId e : b) cb += g.cost()[static_cast(e)]; - if (ca != cb) return ca < cb; - if (tie == EdgeTieBreak::PreferHigherPriority) { - detail::Priority ba {0, 1, true}, bb {0, 1, true}; - for (EdgeId e : a) if (detail::compare(pv.of(e), ba) < 0) ba = pv.of(e); - for (EdgeId e : b) if (detail::compare(pv.of(e), bb) < 0) bb = pv.of(e); - const int c = detail::compare(ba, bb); - if (c != 0) return c > 0; - } - if (a.size() != b.size()) return a.size() < b.size(); - return a < b; - }; - const auto best = *std::min_element(walks.begin(), walks.end(), key_less); - ASSERT_TRUE(got.path.has_value()); - EXPECT_EQ(got.path->walk, best) << "trial " << trial; - ++checked; +TEST(Search, StagedPathPrefixTrapNeedsTheFullKey) { + // review-1d-refine section 1: a cost-2 direct prefix 0->2 with bottleneck 5 against a two-edge + // cost-2 prefix 0->1->2 with bottleneck 10, then a cost-1 edge of priority 1 to the target 3. + // Both complete walks cost 3 with bottleneck 1, so hops decide: [0->2, 2->3]. A search that kept + // only the wider prefix would return the three-hop walk. + auto g = make_graph(4, {{0, 2, 5, 2}, {0, 1, 10, 1}, {1, 2, 10, 1}, {2, 3, 1, 1}}); + const auto inv = id_of_input(g); + for (auto dir : {Direction::Forward, Direction::Reverse}) { + auto r = dir == Direction::Forward + ? run(g, {0}, dir, std::vector {3}, sel(false, true, EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity)) + : run(g, {3}, dir, std::vector {0}, sel(false, true, EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity)); + EXPECT_EQ(edges_of(r.dag), sorted({inv[0], inv[3]})); } - EXPECT_GT(checked, 600); } TEST(Search, MultiRootSinglePathStartsAtTheNearestRootByHops) { @@ -317,8 +365,7 @@ TEST(Search, MultiRootSinglePathStartsAtTheNearestRootByHops) { auto g = make_graph(4, {{0, 3, 1, 2}, {1, 2, 1, 1}, {2, 3, 1, 1}}); const auto inv = id_of_input(g); auto r = run(g, {0, 1}, Direction::Forward, std::vector {3}, sel(false)); - ASSERT_TRUE(r.path.has_value()); - EXPECT_EQ(r.path->walk, (std::vector{inv[0]})); + EXPECT_EQ(edges_of(r.dag), (std::vector{inv[0]})); } TEST(Search, StagedPathReview13CanonicalWitnesses) { @@ -327,22 +374,445 @@ TEST(Search, StagedPathReview13CanonicalWitnesses) { // (all capacities 1: priority ties), both directions. auto c2 = make_graph(4, {{0, 1, 1, 9}, {0, 2, 1, 1}, {1, 3, 1, 1}, {2, 3, 1, 9}}); auto three = make_graph(6, {{0, 2, 1, 1}, {2, 3, 1, 1}, {3, 5, 1, 1}, {0, 1, 1, 1}, {1, 4, 1, 1}, {4, 5, 1, 1}}); - auto nodes_of = [](const Graph& g, const std::vector& walk) { - std::vector out = {g.edge_src()[static_cast(walk.front())]}; - for (EdgeId e : walk) out.push_back(g.edge_dst()[static_cast(e)]); + auto nodes_of = [](const Graph& g, const PredDAG& dag) { + std::set out; + for (EdgeId e : edges_of(dag)) { + out.insert(g.edge_src()[static_cast(e)]); + out.insert(g.edge_dst()[static_cast(e)]); + } return out; }; for (auto tie : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { for (auto prio : {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}) { const auto s = sel(false, true, tie, prio); auto a = run(c2, {0}, Direction::Forward, std::vector {3}, s); - EXPECT_EQ(nodes_of(c2, a.path->walk), (std::vector{0, 2, 3})); + EXPECT_EQ(nodes_of(c2, a.dag), (std::set{0, 2, 3})); auto ar = run(c2, {3}, Direction::Reverse, std::vector {0}, s); - EXPECT_EQ(ar.path->walk, a.path->walk); + EXPECT_EQ(edges_of(ar.dag), edges_of(a.dag)); auto b = run(three, {0}, Direction::Forward, std::vector {5}, s); - EXPECT_EQ(nodes_of(three, b.path->walk), (std::vector{0, 1, 4, 5})); + EXPECT_EQ(nodes_of(three, b.dag), (std::set{0, 1, 4, 5})); auto br = run(three, {5}, Direction::Reverse, std::vector {0}, s); - EXPECT_EQ(br.path->walk, b.path->walk); + EXPECT_EQ(edges_of(br.dag), edges_of(b.dag)); + } + } +} + +namespace { + +// One random query against the reference (search_reference.hpp), on both queues. +struct RandomCase { + Graph g; + std::vector residual; + bool use_res; + Amount min_residual; + std::optional elig; + PathSelection selection; + Direction direction; + std::vector roots; + std::optional> targets; +}; + +Graph random_graph(std::mt19937& rng, int n, int m, Cost max_cost, Cost scale = 1) { + std::vector edges; + for (int i = 0; i < m; ++i) { + edges.push_back({static_cast(rng() % static_cast(n)), static_cast(rng() % static_cast(n)), + static_cast(rng() % 5), scale * static_cast(1 + rng() % static_cast(max_cost))}); + } + return make_graph(n, edges); +} + +// The expected result of a query by the reference: costs, the DAG's edges, target_cost. +struct Expected { + std::optional> costs; + std::vector edges; + std::optional target_cost; +}; + +Expected expect_of(const RandomCase& c) { + const Graph& g = c.g; + ref::Query q; + q.g = &g; + q.elig = c.elig ? &*c.elig : nullptr; + q.residual = c.use_res ? &c.residual : nullptr; + q.min_residual = c.min_residual; + q.multi_edge = c.selection.multi_edge; + q.prefer = c.selection.tie_break == EdgeTieBreak::PreferHigherPriority; + q.priority = c.selection.priority; + const auto mem = ref::members(q); + auto live = [&](const std::vector& set) { + std::vector s(set.begin(), set.end()); + std::sort(s.begin(), s.end()); + s.erase(std::unique(s.begin(), s.end()), s.end()); + std::vector out; + for (NodeId v : s) { + if (q.elig == nullptr || q.elig->node_ok(v)) out.push_back(v); + } + return out; + }; + const auto roots = live(c.roots); + const bool reverse = c.direction == Direction::Reverse; + Expected out; + if (!c.targets.has_value()) { + auto d = ref::distances(g, mem, roots, reverse); + const auto dag = ref::full_dag(g, mem, d, reverse); + out.costs = d; + out.edges.assign(dag.begin(), dag.end()); + return out; + } + const auto targets = live(*c.targets); + out.target_cost = kUnreachable; + if (roots.empty() || targets.empty()) return out; + const auto& starts = reverse ? targets : roots; + const auto& ends = reverse ? roots : targets; + auto [dstar, edges] = ref::pruned(g, mem, starts, ends); + if (dstar == ref::kNone) return out; + out.target_cost = dstar; + if (c.selection.multipath) { + out.edges.assign(edges.begin(), edges.end()); + } else { + auto walk = ref::canonical(q, mem, starts, ends); + out.edges = sorted(*walk); + } + return out; +} + +} // namespace + +TEST(Search, RandomQueriesAgreeWithTheReferenceOnBothQueues) { + std::mt19937 rng(20261006); + int checked = 0; + int single = 0; + for (int trial = 0; trial < 3000; ++trial) { + const int n = 2 + static_cast(rng() % 7); + const int m = static_cast(rng() % 16); + const Cost max_cost = (trial % 5 == 0) ? 40 : 4; + const Cost scale = (trial % 7 == 0) ? 3 : 1; // a common gcd above 1 + RandomCase c {random_graph(rng, n, m, max_cost, scale), {}, (rng() % 2) == 0, 1 + static_cast(rng() % 3), + std::nullopt, PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity), + (rng() % 2) == 0 ? Direction::Forward : Direction::Reverse, {}, std::nullopt}; + c.residual.resize(static_cast(c.g.num_edges())); + for (std::size_t e = 0; e < c.residual.size(); ++e) { + const Amount cap = c.g.capacity_units()[e]; + c.residual[e] = cap == 0 ? 0 : static_cast(rng() % static_cast(cap + 1)); + } + if (rng() % 3 == 0) { + std::vector xn; + std::vector xe; + if (rng() % 2 == 0) xn.push_back(static_cast(rng() % static_cast(n))); + if (c.g.num_edges() > 0 && rng() % 2 == 0) xe.push_back(static_cast(rng() % static_cast(c.g.num_edges()))); + c.elig = c.g.eligibility(xn, xe); + } + const EdgePriority prios[3] = {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}; + const bool with_targets = (rng() % 3) != 0; + c.selection = PathSelection((rng() % 2) == 0 ? EdgeTieBreak::Deterministic : EdgeTieBreak::PreferHigherPriority, + prios[rng() % 3], !with_targets || (rng() % 2) == 0, (rng() % 2) == 0); + // Disjoint random root and target sets (duplicates allowed in the input). + std::vector perm(static_cast(n)); + std::iota(perm.begin(), perm.end(), 0); + std::shuffle(perm.begin(), perm.end(), rng); + const std::size_t nr = 1 + rng() % static_cast(std::max(1, n / 2)); + c.roots.assign(perm.begin(), perm.begin() + static_cast(nr)); + if (rng() % 4 == 0) c.roots.push_back(c.roots.front()); + if (with_targets) { + const std::size_t nt = 1 + rng() % static_cast(std::max(1, perm.size() - nr)); + c.targets = std::vector(perm.begin() + static_cast(nr), + perm.begin() + static_cast(std::min(perm.size(), nr + nt))); + if (c.targets->empty()) c.targets = std::nullopt; + } + if (!c.targets.has_value() && !c.selection.multipath) { + c.selection = PathSelection(c.selection.tie_break, c.selection.priority, true, c.selection.multi_edge); + } + const auto want = expect_of(c); + for (auto queue : {SpfQueue::Auto, SpfQueue::Heap}) { + auto got = run(c.g, c.roots, c.direction, c.targets, c.selection, c.use_res ? &c.residual : nullptr, c.min_residual, + c.elig ? &*c.elig : nullptr, queue); + ASSERT_EQ(got.costs, want.costs) << "trial " << trial; + ASSERT_EQ(edges_of(got.dag), want.edges) << "trial " << trial << " queue " << static_cast(queue); + ASSERT_EQ(got.target_cost, want.target_cost) << "trial " << trial; + expect_canonical(c.g, got.dag); + } + ++checked; + if (c.targets.has_value() && !c.selection.multipath && want.target_cost != kUnreachable) ++single; + } + EXPECT_EQ(checked, 3000); + EXPECT_GT(single, 300); +} + +TEST(Search, DirectionsWithExchangedEndpointsDescribeTheSameWalks) { + // A forward search from S with targets T and a reverse search rooted at T with targets S give + // the same pruned DAG, target cost and single path, for every selection. + std::mt19937 rng(7); + for (int trial = 0; trial < 500; ++trial) { + const int n = 4 + static_cast(rng() % 8); + auto g = random_graph(rng, n, 4 + static_cast(rng() % 20), 3); + std::vector perm(static_cast(n)); + std::iota(perm.begin(), perm.end(), 0); + std::shuffle(perm.begin(), perm.end(), rng); + std::vector s(perm.begin(), perm.begin() + 1 + static_cast(rng() % 2)); + std::vector t(perm.end() - 1 - static_cast(rng() % 2), perm.end()); + for (auto tie : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { + for (bool mp : {true, false}) { + for (bool me : {true, false}) { + const auto s1 = sel(mp, me, tie, EdgePriority::Capacity); + auto f = run(g, s, Direction::Forward, t, s1); + auto r = run(g, t, Direction::Reverse, s, s1); + ASSERT_EQ(f.target_cost, r.target_cost) << trial; + ASSERT_EQ(edges_of(f.dag), edges_of(r.dag)) << trial; + } + } + } + } +} + +TEST(Search, TieModesShareTheDagOfAFixedMemberGraph) { + // Under Expand the member graph does not depend on the tie mode or the priority, so neither + // does the DAG; under Collapse the member may differ (and with it the DAG). + std::mt19937 rng(11); + for (int trial = 0; trial < 300; ++trial) { + auto g = random_graph(rng, 6, 14, 2); + std::optional> t; + if (trial % 2 == 0) t = std::vector {5}; + const auto base = edges_of(run(g, {0}, Direction::Forward, t, sel()).dag); + for (auto tie : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { + for (auto prio : {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}) { + EXPECT_EQ(edges_of(run(g, {0}, Direction::Forward, t, sel(true, true, tie, prio)).dag), base); + } + } + } +} + +TEST(Search, QueueDispatchAtTheWidthLimit) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + auto& counts = detail::thread_queue_counts(); + auto queue_of = [&](const Graph& g, SpfQueue q) { + const auto before = counts; + auto r = run(g, {0}, Direction::Forward, std::nullopt, sel(), nullptr, 1, nullptr, q); + EXPECT_EQ(*r.costs, (std::vector{0, g.cost()[0], kUnreachable})); + return counts.buckets > before.buckets ? std::string("buckets") : std::string("heap"); + }; + // W = max_cost / gcd + 1: 65,535 / 1 + 1 = 65,536 buckets (the limit) and 65,536 + 1 above it; + // a large common gcd makes the width 2. + auto at = make_graph(3, {{0, 1, 1, 65535}, {1, 0, 1, 1}}); + auto above = make_graph(3, {{0, 1, 1, 65536}, {1, 0, 1, 1}}); + const Cost big = Cost {1} << 40; + auto gcd = make_graph(3, {{0, 1, 1, big}, {1, 0, 1, 2 * big}}); + EXPECT_EQ(detail::bucket_width(at), 65536); + EXPECT_EQ(detail::bucket_width(above), 65537); + EXPECT_EQ(detail::bucket_width(gcd), 3); + EXPECT_EQ(queue_of(at, SpfQueue::Auto), "buckets"); + EXPECT_EQ(queue_of(above, SpfQueue::Auto), "heap"); + EXPECT_EQ(queue_of(gcd, SpfQueue::Auto), "buckets"); + EXPECT_EQ(queue_of(at, SpfQueue::Heap), "heap"); + EXPECT_EQ(queue_of(gcd, SpfQueue::Heap), "heap"); + // A graph without edges has width 1: buckets. + auto bare = make_graph(2, {}); + EXPECT_EQ(detail::bucket_width(bare), 1); +#else + GTEST_SKIP() << "the queue counters are a private hook"; +#endif +} + +namespace { + +// A textbook Dijkstra over the candidate edges (the test's own, for large graphs where +// Bellman-Ford is too slow): the costs and the tight-edge set of a full forward search. +std::pair, std::vector> dijkstra(const Graph& g, const std::vector& roots) { + std::vector> out(static_cast(g.num_nodes())); + for (std::size_t e = 0; e < static_cast(g.num_edges()); ++e) { + if (g.capacity_units()[e] >= 1) out[static_cast(g.edge_src()[e])].push_back(e); + } + std::vector d(static_cast(g.num_nodes()), kUnreachable); + std::priority_queue, std::vector>, std::greater<>> pq; + for (NodeId r : roots) { + d[static_cast(r)] = 0; + pq.emplace(0, r); + } + while (!pq.empty()) { + auto [du, u] = pq.top(); + pq.pop(); + if (du != d[static_cast(u)]) continue; + for (std::size_t e : out[static_cast(u)]) { + const auto v = static_cast(g.edge_dst()[e]); + if (du + g.cost()[e] < d[v]) { + d[v] = du + g.cost()[e]; + pq.emplace(d[v], static_cast(v)); + } + } + } + std::vector tight; + for (std::size_t e = 0; e < static_cast(g.num_edges()); ++e) { + const Cost du = d[static_cast(g.edge_src()[e])]; + const Cost dv = d[static_cast(g.edge_dst()[e])]; + if (g.capacity_units()[e] >= 1 && du != kUnreachable && dv != kUnreachable && du + g.cost()[e] == dv) { + tight.push_back(static_cast(e)); + } + } + return {d, tight}; +} + +} // namespace + +TEST(Search, BucketWraparoundRingsAndChains) { + // Small widths with distances many times the width: the cyclic buckets wrap around repeatedly; + // rings and chains keep a frontier of one item (the inline item and its promotion), and chords + // promote it. Every result equals the heap's and the textbook Dijkstra's. + std::mt19937 rng(5); + for (int shape = 0; shape < 4; ++shape) { + const int n = 400 + 37 * shape; + std::vector edges; + for (int v = 0; v < n; ++v) { + edges.push_back({v, (v + 1) % n, 1, 1 + static_cast(rng() % 3)}); // the ring + if (shape >= 1 && rng() % 5 == 0) edges.push_back({v, (v + 7) % n, 1, 3}); // chords + if (shape >= 2 && rng() % 3 == 0) edges.push_back({v, (v + 2) % n, 1, 2}); + if (shape == 3 && rng() % 4 == 0) edges.push_back({v, (v + 1) % n, 1, 1}); // parallel + } + auto g = make_graph(n, edges); + EXPECT_LE(detail::bucket_width(g), 4); + const auto [d, tight] = dijkstra(g, {0}); + for (auto q : {SpfQueue::Auto, SpfQueue::Heap}) { + auto r = run(g, {0}, Direction::Forward, std::nullopt, sel(), nullptr, 1, nullptr, q); + EXPECT_EQ(*r.costs, d) << "shape " << shape; + EXPECT_EQ(edges_of(r.dag), tight) << "shape " << shape; + } + } +} + +TEST(Search, EarlyStopsLeaveNothingForTheNextQuery) { + // A target search stops with pending entries in the queue and touched tentative nodes; the next + // searches on this thread (other graphs, sizes, directions and queues) must see a clean + // workspace. Alternating graph sizes also exercise the arrays' growth and shrink. + std::mt19937 rng(3); + auto big = random_graph(rng, 3000, 24000, 30); + auto small = random_graph(rng, 9, 30, 3); + auto huge = random_graph(rng, 20000, 40000, 5); + const auto [d_big, t_big] = dijkstra(big, {0}); + const auto [d_small, t_small] = dijkstra(small, {1}); + for (int round = 0; round < 6; ++round) { + for (auto q : {SpfQueue::Auto, SpfQueue::Heap}) { + auto stop = run(big, {0}, Direction::Forward, std::vector {static_cast(1 + round)}, sel(), nullptr, 1, + nullptr, q); + EXPECT_EQ(stop.target_cost, d_big[static_cast(1 + round)]); + auto s = run(small, {1}, Direction::Forward, std::nullopt, sel(), nullptr, 1, nullptr, q); + EXPECT_EQ(*s.costs, d_small); + EXPECT_EQ(edges_of(s.dag), t_small); + if (round % 2 == 0) (void)run(huge, {5}, Direction::Reverse, std::vector {7}, sel(false), nullptr, 1, nullptr, q); + auto b = run(big, {0}, Direction::Forward, std::nullopt, sel(), nullptr, 1, nullptr, q); + EXPECT_EQ(*b.costs, d_big); + EXPECT_EQ(edges_of(b.dag), t_big); + } + } +} + +TEST(Search, LargeGraphsBothQueuesIdentical) { + // Every SpfResult field identical on both queues, for full and target searches in both + // directions, on graphs where Auto takes the buckets. + std::mt19937 rng(17); + for (int shape = 0; shape < 3; ++shape) { + auto g = random_graph(rng, 2000, 16000, shape == 2 ? 1 : 31); + ASSERT_TRUE(detail::uses_buckets(g, SpfQueue::Auto)); + for (int k = 0; k < 6; ++k) { + const auto s = sel(k % 2 == 0, k % 3 != 0, k % 2 == 0 ? EdgeTieBreak::Deterministic : EdgeTieBreak::PreferHigherPriority, + EdgePriority::Capacity); + const Direction dir = k % 2 == 0 ? Direction::Forward : Direction::Reverse; + std::optional> t; + if (k >= 2) t = std::vector {static_cast(100 + k), static_cast(900 + k)}; + if (!t.has_value() && !s.multipath) continue; + auto a = run(g, {static_cast(k)}, dir, t, s, nullptr, 1, nullptr, SpfQueue::Auto); + auto h = run(g, {static_cast(k)}, dir, t, s, nullptr, 1, nullptr, SpfQueue::Heap); + EXPECT_EQ(a.costs, h.costs); + EXPECT_EQ(a.target_cost, h.target_cost); + EXPECT_TRUE(a.dag == h.dag); + } + } +} + +TEST(Search, InternalEntriesMatchThePublicSearch) { + // route_search (CapacityAware), support_route (CostOnly on the cached support) and + // static_costs (rosters) against spf on the same questions. + std::mt19937 rng(23); + for (int trial = 0; trial < 400; ++trial) { + const int n = 3 + static_cast(rng() % 8); + auto g = random_graph(rng, n, 3 + static_cast(rng() % 22), 3); + const NodeId src = 0; + std::vector dests = {static_cast(n - 1)}; + if (n > 4 && rng() % 2 == 0) dests.insert(dests.begin(), static_cast(n - 2)); + std::vector residual(static_cast(g.num_edges())); + for (std::size_t e = 0; e < residual.size(); ++e) { + const Amount cap = g.capacity_units()[e]; + residual[e] = cap == 0 ? 0 : static_cast(rng() % static_cast(cap + 1)); + } + for (bool mp : {true, false}) { + for (bool me : {true, false}) { + for (auto tie : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { + const auto s = sel(mp, me, tie, EdgePriority::Residual); + // CapacityAware: gated at 2 units on the residual. + auto want = run(g, {src}, Direction::Forward, dests, s, &residual, 2); + auto got = detail::route_search(g, detail::Gate {nullptr, residual, 2}, s, src, dests); + if (want.target_cost == kUnreachable) { + EXPECT_FALSE(got.has_value()); + } else { + ASSERT_TRUE(got.has_value()); + EXPECT_EQ(got->cost, *want.target_cost); + EXPECT_EQ(got->edges, edges_of(want.dag)); + } + // CostOnly: the static support toward dests projected with static priorities equals the + // static search from src (no residual: every priority reads capacities). + const auto support = detail::static_support(g, dests, Direction::Reverse, nullptr); + const detail::PriorityValues values {&g, EdgePriority::Residual, {}}; + auto proj = detail::support_route(g, detail::PredDAGBuilder::ascending(support), src, dests, s, + detail::PriorityFn::of(values)); + auto stat = run(g, {src}, Direction::Forward, dests, s); + if (stat.target_cost == kUnreachable) { + EXPECT_TRUE(proj.edges.empty()); + } else { + EXPECT_EQ(proj.edges, edges_of(stat.dag)) << trial; + EXPECT_EQ(proj.cost, *stat.target_cost); + } + } + } + } + const auto costs = detail::static_costs(g, nullptr, dests, std::vector {0, 1}); + auto rev = run(g, dests, Direction::Reverse, std::nullopt, sel()); + EXPECT_EQ(costs, (std::vector{(*rev.costs)[0], (*rev.costs)[1]})); + } +} + +TEST(Search, ReverseSupportsOrderEveryTailsEdgesAtAnyDegree) { + // Task 1d-msd: a reverse full search emits each tail's tight out-edges in ascending EdgeId, by one + // bit per out-edge id up to 64 out-edges and by sorting above: hubs with 63, 64, 65 and 129 + // out-edges, tight (cost 1, parallel copies, ties) and not (cost 2 or no capacity), against the + // reference's full DAG, with and without an Eligibility. + // Ids rank a node's costlier edges last, so the all-tight variant makes the last ids tight too. + std::mt19937 rng(64); + for (const auto& [degree, all_tight] : std::vector> { + {1, false}, {63, false}, {64, false}, {65, false}, {129, false}, {64, true}, {65, true}, {66, true}}) { + const NodeId root = 0; + const NodeId hub = 1; + const int spokes = 40; // nodes 2 .. 41, each one hop from the root + std::vector edges; + for (int k = 0; k < degree; ++k) { + const auto to = static_cast(2 + rng() % spokes); + const Cost cost = !all_tight && rng() % 4 == 0 ? 2 : 1; + edges.push_back({hub, to, static_cast(!all_tight && rng() % 5 == 0 ? 0 : 3), cost}); + } + for (NodeId s = 2; s < 2 + spokes; ++s) edges.push_back({s, root, 4, 1}); + const Graph g = make_graph(2 + spokes, edges); + ASSERT_EQ(g.row_offsets()[2] - g.row_offsets()[1], degree); + for (bool with_elig : {false, true}) { + std::optional elig; + if (with_elig) elig = g.eligibility(std::vector {5}, std::vector {g.row_offsets()[1]}); + ref::Query q; + q.g = &g; + q.elig = elig ? &*elig : nullptr; + const auto mem = ref::members(q); + const auto d = ref::distances(g, mem, {root}, true); + const auto want = ref::full_dag(g, mem, d, true); + const auto got = detail::static_support(g, std::vector {root}, Direction::Reverse, q.elig); + const auto asc = detail::PredDAGBuilder::ascending(got); + EXPECT_EQ(std::vector(asc.begin(), asc.end()), std::vector(want.begin(), want.end())) + << "degree " << degree << " all tight " << all_tight << " elig " << with_elig; + if (all_tight && !with_elig) EXPECT_EQ(asc.size(), static_cast(degree + spokes)); + EXPECT_TRUE(std::is_sorted(asc.begin(), asc.end())); } } } diff --git a/tests/py/test_apportionment.py b/tests/py/test_apportionment.py new file mode 100644 index 0000000..8321550 --- /dev/null +++ b/tests/py/test_apportionment.py @@ -0,0 +1,23 @@ +"""The apportionment through the private hooks (``_round_robin``, ``_highest_averages``, +APPROACH 2.1).""" + +from __future__ import annotations + +import _netgraph_core as ext +import pytest +from private_hooks import needs_hooks + + +@needs_hooks +def test_apportionment_entries(): + assert ext._round_robin(7, 3) == [3, 2, 2] + assert ext._highest_averages(10, [3, 9, 9]) == [1, 5, 4] + assert ext._highest_averages(11, [3, 9, 9]) == [1, 5, 5] + assert ext._highest_averages(4, [1, 3, 3]) == [0, 2, 2] + big = (1 << 62) - 2 + a = ext._highest_averages(big, [(1 << 60) + 1, (1 << 60) - 1, 7]) + assert sum(a) == big + with pytest.raises(ValueError, match="outside"): + ext._highest_averages(1, [0, 1]) + with pytest.raises(ValueError, match="2\\^62"): + ext._highest_averages(1, [1 << 61, 1 << 61]) diff --git a/tests/py/test_dag_cache.py b/tests/py/test_dag_cache.py new file mode 100644 index 0000000..808b8e2 --- /dev/null +++ b/tests/py/test_dag_cache.py @@ -0,0 +1,357 @@ +"""The DagCache's modes through the binding (APPROACH 10, 11): the transition table, DagCacheMiss +as a dedicated exception (not a RuntimeError, so never a sensitivity status), the evaluators' +sharing rules (a frozen cache shared by every worker, a building one rejected with two or more), +the reuse of prepopulated Eligibility uids, frozen lookups from several Python threads, and a +frozen cache's statistics under failed calls (review-1d F1, NOTES R27).""" + +from __future__ import annotations + +import threading + +import _netgraph_core as ext +import pytest +from private_hooks import needs_hooks + +import netgraph_core as ngc + + +def fabric(): + """Leaves 0..5 and spines 6..8, every leaf joined to every spine both ways (capacity 4, + cost 1).""" + rows = [(leaf, s) for leaf in range(6) for s in range(6, 9)] + rows += [(s, leaf) for leaf, s in rows] + return ngc.Graph( + 9, + [r[0] for r in rows], + [r[1] for r in rows], + [4] * len(rows), + [1] * len(rows), + 1.0, + ) + + +def costonly(): + return ngc.FlowPolicyConfig( + routing=ngc.CostOnly(), + placement=ngc.FlowPlacement.EQUAL_BALANCED, + admission=ngc.Admission.LOSSLESS, + selection=ngc.PathSelection( + ngc.EdgeTieBreak.DETERMINISTIC, ngc.EdgePriority.CAPACITY + ), + ) + + +def prepopulate(g, keys, elig=None): + """A building cache holding the CostOnly support of each destination set (a capacity call + looks up the destinations' reverse support; the source is spine 6), frozen afterwards.""" + cache = ngc.DagCache(g) + for dst in keys: + ngc.capacity(g, 6, dst, ngc.CapacityOptions(costonly(), elig=elig, cache=cache)) + cache.freeze() + return cache + + +def stats(cache): + s = cache.stats() + return (s.hits, s.misses, s.entries) + + +def test_transition_table(): + g = fabric() + cache = ngc.DagCache(g) + opts = ngc.CapacityOptions(costonly(), cache=cache) + want = ngc.capacity(g, 0, 3, ngc.CapacityOptions(costonly())).placed + assert ngc.capacity(g, 0, 3, opts).placed == want + assert stats(cache) == (0, 1, 1) + cache.freeze() + cache.freeze() # no effect + assert ngc.capacity(g, 1, 3, opts).placed == want # a hit + assert stats(cache) == (1, 1, 1) + with pytest.raises( + ngc.DagCacheMiss, match=r"no entry for roots \{4\}, direction Reverse" + ): + ngc.capacity(g, 0, 4, opts) + assert stats(cache) == (1, 2, 1) # one miss, nothing inserted + with pytest.raises(ValueError, match="rejected while the cache is frozen"): + cache.clear() + assert stats(cache) == (1, 2, 1) + cache.thaw() + cache.thaw() # no effect + assert ( + ngc.capacity(g, 0, 4, opts).placed == want + ) # building again: searches, inserts + assert stats(cache) == (1, 3, 2) + cache.clear() + assert stats(cache) == (1, 3, 0) + + +def test_miss_is_a_dedicated_exception(): + assert issubclass(ngc.DagCacheMiss, Exception) + assert not issubclass(ngc.DagCacheMiss, (RuntimeError, ValueError, TypeError)) + assert ngc.DagCacheMiss.__doc__ + + +def test_frozen_cache_shared_by_every_worker(): + g = fabric() + pairs = [(0, 3), (1, 4), (2, 5), ([0, 1], [3, 4])] + want = [ + r.placed for r in ngc.batch_capacity(g, pairs, ngc.CapacityOptions(costonly())) + ] + building = ngc.DagCache(g) + with pytest.raises(ValueError, match="workers == 1"): + ngc.batch_capacity( + g, pairs, ngc.CapacityOptions(costonly(), cache=building), workers=2 + ) + cache = prepopulate(g, [[3], [4], [5], [3, 4]]) + before = stats(cache) + for workers in (1, 2, 4): + got = ngc.batch_capacity( + g, pairs, ngc.CapacityOptions(costonly(), cache=cache), workers=workers + ) + assert [r.placed for r in got] == want + assert stats(cache) == (before[0] + 12, before[1], 4) + # The lowest failing pair index's miss: pairs 0 and 2 miss, pair 0's key is reported. + partial = prepopulate(g, [[4]]) + for workers in (1, 2, 4): + with pytest.raises(ngc.DagCacheMiss, match=r"roots \{3\}"): + ngc.batch_capacity( + g, + pairs[:3], + ngc.CapacityOptions(costonly(), cache=partial), + workers=workers, + ) + + +def test_prepopulated_uids_and_intersections(): + g = fabric() + common = g.eligibility(excluded_edges=[0]) + narrow = g.eligibility(excluded_edges=[0, 1]) # contained in common + other = g.eligibility(excluded_edges=[1]) # the intersection with common is new + pairs = [(1, 4), (2, 5)] + cache = ngc.DagCache(g) + ngc.capacity(g, 1, 4, ngc.CapacityOptions(costonly(), elig=narrow, cache=cache)) + ngc.capacity(g, 2, 5, ngc.CapacityOptions(costonly(), elig=common, cache=cache)) + cache.freeze() + opts = ngc.CapacityOptions(costonly(), elig=common, cache=cache) + ngc.batch_capacity(g, pairs, opts, [narrow, None], workers=2) # returns the operand + ngc.batch_capacity( + g, + pairs, + ngc.CapacityOptions(costonly(), cache=cache), + [narrow, common], + workers=2, + ) + assert stats(cache) == (4, 2, 2) + with pytest.raises(ngc.DagCacheMiss, match=r"roots \{4\}"): + ngc.batch_capacity(g, pairs, opts, [other, None], workers=2) + + +def test_sensitivity_propagates_the_miss_and_global_reads_no_cache(): + g = fabric() + cache = prepopulate(g, [[4]]) + opts = ngc.SensitivityOptions(costonly(), cache=cache) + for workers in (1, 2, 4): + with pytest.raises(ngc.DagCacheMiss, match=r"roots \{4\}"): + ngc.sensitivity(g, 1, 4, opts, workers) + glob = ngc.FlowPolicyConfig( + routing=ngc.Global(), + placement=ngc.FlowPlacement.MAX_FLOW, + admission=ngc.Admission.LOSSLESS, + selection=ngc.PathSelection( + ngc.EdgeTieBreak.DETERMINISTIC, ngc.EdgePriority.CAPACITY + ), + ) + want = ngc.sensitivity(g, [0, 1], [4, 5], ngc.SensitivityOptions(glob)) + empty = ngc.DagCache(g) + empty.freeze() + for workers in (1, 2, 4): + got = ngc.sensitivity( + g, [0, 1], [4, 5], ngc.SensitivityOptions(glob, cache=empty), workers + ) + assert got.baseline.placed == want.baseline.placed + assert [(e.edge, e.loss) for e in got.entries] == [ + (e.edge, e.loss) for e in want.entries + ] + assert stats(empty) == (0, 0, 0) + + +def test_frozen_lookups_from_python_threads(): + g = fabric() + cache = prepopulate(g, [[d] for d in range(6)]) + want = { + d: ngc.capacity(g, 6, d, ngc.CapacityOptions(costonly())).placed + for d in range(6) + } + errors = [] + + def reader(t): + try: + for i in range(60): + d = (i + t) % 6 + r = ngc.capacity(g, 6, d, ngc.CapacityOptions(costonly(), cache=cache)) + assert r.placed == want[d] + except Exception as exc: # noqa: BLE001 - reported below + errors.append(exc) + + before = stats(cache) + threads = [threading.Thread(target=reader, args=(t,)) for t in range(4)] + for t in threads: + t.start() + for t in threads: + t.join() + assert errors == [] + assert stats(cache) == (before[0] + 240, before[1], 6) + + +def all_stats(cache): + s = cache.stats() + return (s.hits, s.misses, s.entries, s.bytes, s.live_values) + + +def plus(stats, hits=0, misses=0): + return (stats[0] + hits, stats[1] + misses, *stats[2:]) + + +def test_a_failed_call_changes_no_statistic_but_its_miss(): + # A public call publishes a frozen cache's hits only when it succeeds: a batch whose pair 0 + # hits and pair 1 misses raises the miss, keeps no hit and counts the miss once, with one + # worker and with several; CostOnly sensitivity drops its baseline's hit the same way. + g = fabric() + cache = prepopulate(g, [[3]]) + opts = ngc.CapacityOptions(costonly(), cache=cache) + for workers in (1, 2, 4): + before = all_stats(cache) + with pytest.raises(ngc.DagCacheMiss, match=r"roots \{4\}"): + ngc.batch_capacity( + g, [(0, 3), (1, 4), (2, 5), (0, 3)], opts, workers=workers + ) + assert all_stats(cache) == plus(before, misses=1) + before = all_stats(cache) + with pytest.raises(ngc.DagCacheMiss, match=r"roots \{3\}"): + ngc.sensitivity( + g, 0, 3, ngc.SensitivityOptions(costonly(), cache=cache), workers + ) + assert all_stats(cache) == plus(before, misses=1) + before = all_stats(cache) + assert ngc.batch_capacity(g, [(0, 3), (1, 3)], opts, workers=2) + assert all_stats(cache) == plus(before, hits=2) + + +def test_concurrent_calls_keep_every_successful_hit(): + # Python threads (the evaluators release the GIL) on one frozen cache, each alternating a + # successful capacity (one hit) and a failing batch (its hit dropped, one miss). + g = fabric() + cache = prepopulate(g, [[3], [4]]) + opts = ngc.CapacityOptions(costonly(), cache=cache) + errors = [] + + def caller(): + try: + for _ in range(40): + assert ngc.capacity(g, 0, 3, opts).placed > 0 + with pytest.raises(ngc.DagCacheMiss): + ngc.batch_capacity(g, [(1, 4), (2, 5)], opts, workers=2) + except Exception as exc: # noqa: BLE001 - reported below + errors.append(exc) + + before = all_stats(cache) + threads = [threading.Thread(target=caller) for _ in range(4)] + for t in threads: + t.start() + for t in threads: + t.join() + assert errors == [] + assert all_stats(cache) == plus(before, hits=160, misses=160) + + +def sweep_frozen(cache, fn, args, hits=0, miss=False): + """fn(*args) with each Python object allocation failing in turn: a failed call leaves all + five statistics as they were, the result object's allocation included (the reviewer's + witness: capacity's allocation 8); the call that completes adds exactly `hits` hits, or, when + its outcome is the DagCacheMiss, one miss. One case keeps the miss: when the call has ended + in the miss and pybind11's translation of DagCacheMiss into its Python exception fails + (MemoryError instead), the miss is counted (NOTES R27, APPROACH 13 limit 1); every such + failure comes after every allocation of the call itself. Returns the number of failures.""" + failures = 0 + translated = ( + None # the first allocation index past the call (translation of the miss) + ) + for k in range(1000): + before = all_stats(cache) + hit, _, _, error = ext._fail_python_allocation(fn, args, k) + after = all_stats(cache) + if not hit: + if miss: + assert isinstance(error, ngc.DagCacheMiss), repr(error) + assert after == plus(before, misses=1), (k, before, after) + else: + assert error is None, repr(error) + assert after == plus(before, hits=hits), (k, before, after) + return failures + failures += 1 + assert isinstance(error, (MemoryError, RuntimeError)), (k, repr(error)) + if miss and after == plus(before, misses=1): + assert isinstance(error, MemoryError), (k, repr(error)) + translated = k if translated is None else translated + continue + assert translated is None, ( + k, + translated, + "a failure inside the call after its translation", + ) + assert after == before, (k, before, after) + pytest.fail(f"{fn.__name__} never completed") + + +@needs_hooks +def test_frozen_statistics_survive_python_allocation_failures(): + g = fabric() + cache = prepopulate(g, [[3], [4], [3, 4]]) + opts = ngc.CapacityOptions( + costonly(), + cache=cache, + outputs=ngc.OutputOptions(edge_flows=True, residual=True, bottleneck=True), + ) + pairs = [(0, 3), (1, 4), ([0, 1], [3, 4])] + assert sweep_frozen(cache, ngc.capacity, (g, 0, 3, opts), hits=1) >= 3 + assert sweep_frozen(cache, ngc.capacity, (g, 0, 5, opts), miss=True) >= 1 + for workers in (1, 2): + assert ( + sweep_frozen( + cache, ngc.batch_capacity, (g, pairs, opts, None, workers), hits=3 + ) + >= 3 + ) + assert ( + sweep_frozen( + cache, + ngc.batch_capacity, + (g, [(0, 3), (1, 5)], opts, None, workers), + miss=True, + ) + >= 1 + ) + sens = ngc.SensitivityOptions(costonly(), cache=cache) + assert sweep_frozen(cache, ngc.sensitivity, (g, 0, 3, sens, 1), miss=True) >= 1 + # CostOnly sensitivity from a source that reaches no destination: one hit (the baseline's), + # no placed deletion, and a result with an entry per edge. + island = ngc.Graph(3, [0, 1], [1, 0], [4, 4], [1, 1], 1.0) + small = ngc.DagCache(island) + ngc.capacity(island, 0, 1, ngc.CapacityOptions(costonly(), cache=small)) + small.freeze() + for workers in (1, 2): + assert ( + sweep_frozen( + small, + ngc.sensitivity, + ( + island, + 2, + 1, + ngc.SensitivityOptions(costonly(), cache=small), + workers, + ), + hits=1, + ) + >= 3 + ) diff --git a/tests/py/test_internal_search.py b/tests/py/test_internal_search.py deleted file mode 100644 index 6685977..0000000 --- a/tests/py/test_internal_search.py +++ /dev/null @@ -1,99 +0,0 @@ -"""The internal search through its private entry (``_spf``, APPROACH 6) and the apportionment -through the private hooks (``_round_robin``, ``_highest_averages``, APPROACH 2.1).""" - -from __future__ import annotations - -import _netgraph_core as ext -import pytest -from private_hooks import needs_hooks - -import netgraph_core as ngc - -DET = ngc.EdgeTieBreak.DETERMINISTIC -PREFER = ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY -CAP = ngc.EdgePriority.CAPACITY - - -def build(n, edges, q=1.0): - return ngc.Graph( - n, - [e[0] for e in edges], - [e[1] for e in edges], - [e[2] for e in edges], - [e[3] for e in edges], - q, - ) - - -def ids(g, positions): - return sorted(int(e) for e, p in enumerate(g.input_index()) if p in positions) - - -def test_full_search_and_anycast(): - g = build(5, [(0, 1, 1, 1), (1, 2, 1, 1), (0, 3, 1, 2), (3, 2, 1, 5), (1, 4, 1, 5)]) - full = ext._spf(g, 0, "forward", None, ngc.PathSelection(DET, CAP)) - assert full["costs"] == [0, 1, 2, 2, 6] - assert "target_cost" not in full - any_ = ext._spf(g, [0], "forward", [2, 4], ngc.PathSelection(DET, CAP)) - assert any_["target_cost"] == 2 - assert sorted(int(e) for e in any_["dag"].via_edges()) == ids(g, {0, 1}) - rev = ext._spf(g, [2, 4], "reverse", [0], ngc.PathSelection(DET, CAP)) - assert rev["dag"] == any_["dag"] - none = ext._spf(g, 2, "forward", 0, ngc.PathSelection(DET, CAP)) - assert none["target_cost"] is None - assert list(none["dag"].via_edges()) == [] - unreachable = ext._spf(g, 2, "forward", None, ngc.PathSelection(DET, CAP)) - assert unreachable["costs"] == [None, None, 0, None, None] - - -def test_staged_single_path_review13_d3(): - # s -> v (1, prio 1), v -> t (3, prio 1), v -> a -> b -> t (1 + 1 + 1, prio 2): the - # bottleneck of every walk is 1, so the two-hop walk wins under both tie modes. - g = build(5, [(0, 1, 1, 1), (1, 4, 1, 3), (1, 2, 2, 1), (2, 3, 2, 1), (3, 4, 2, 1)]) - for tie in (DET, PREFER): - r = ext._spf(g, 0, "forward", 4, ngc.PathSelection(tie, CAP, multipath=False)) - assert r["path"] == ids(g, {0, 1}) - assert r["target_cost"] == 4 - - -def test_search_validation(): - g = build(3, [(0, 1, 2, 1), (1, 2, 2, 1)]) - sel = ngc.PathSelection(DET, CAP) - with pytest.raises(ValueError, match="requires targets"): - ext._spf(g, 0, "forward", None, ngc.PathSelection(DET, CAP, multipath=False)) - with pytest.raises(ValueError, match="both endpoint sets"): - ext._spf(g, [0, 1], "forward", [1], sel) - with pytest.raises(ValueError, match="empty"): - ext._spf(g, [], "forward", None, sel) - with pytest.raises(ValueError, match="residual has length"): - ext._spf(g, 0, "forward", None, sel, [1]) - with pytest.raises(ValueError, match=r"residual\[1\] = 3"): - ext._spf(g, 0, "forward", None, sel, [1, 3]) - with pytest.raises(ValueError, match="min_residual"): - ext._spf(g, 0, "forward", None, sel, None, 0) - with pytest.raises(ValueError, match="direction"): - ext._spf(g, 0, "sideways", None, sel) - gated = ext._spf(g, 0, "forward", None, sel, [2, 1], 2) - assert gated["costs"] == [0, 1, None] - # Section 6's order (review-1b R15): the endpoint checks precede the residual's. - with pytest.raises(ValueError, match="both endpoint sets"): - ext._spf(g, 0, "forward", 0, sel, []) - with pytest.raises(ValueError, match="requires targets"): - ext._spf( - g, 0, "forward", None, ngc.PathSelection(DET, CAP, multipath=False), [] - ) - - -@needs_hooks -def test_apportionment_entries(): - assert ext._round_robin(7, 3) == [3, 2, 2] - assert ext._highest_averages(10, [3, 9, 9]) == [1, 5, 4] - assert ext._highest_averages(11, [3, 9, 9]) == [1, 5, 5] - assert ext._highest_averages(4, [1, 3, 3]) == [0, 2, 2] - big = (1 << 62) - 2 - a = ext._highest_averages(big, [(1 << 60) + 1, (1 << 60) - 1, 7]) - assert sum(a) == big - with pytest.raises(ValueError, match="outside"): - ext._highest_averages(1, [0, 1]) - with pytest.raises(ValueError, match="2\\^62"): - ext._highest_averages(1, [1 << 61, 1 << 61]) diff --git a/tests/py/test_ksp.py b/tests/py/test_ksp.py new file mode 100644 index 0000000..a67b215 --- /dev/null +++ b/tests/py/test_ksp.py @@ -0,0 +1,198 @@ +"""KSP and resolve_to_paths through the binding (APPROACH 5, 6, rule 10): the order, Expand and +Collapse, the ceilings, k = 1 against the single path of spf, the validation order on +unnarrowed values, and the all-or-nothing construction of the result lists.""" + +from __future__ import annotations + +import _netgraph_core as ext +import pytest +from private_hooks import needs_hooks + +import netgraph_core as ngc + +DET = ngc.EdgeTieBreak.DETERMINISTIC +PREFER = ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY +CAP = ngc.EdgePriority.CAPACITY + + +def bgraph(n, rows): + """Rows (u, v, capacity, cost) in B' order (src, cost, dst): ids are input positions.""" + rows = sorted(rows, key=lambda r: (r[0], r[3], r[1])) + return ngc.Graph( + n, + [r[0] for r in rows], + [r[1] for r in rows], + [r[2] for r in rows], + [r[3] for r in rows], + 1.0, + ) + + +def ksp(g, s, t, k, *, multi_edge=True, tie=DET, **kw): + sel = ngc.PathSelection(tie, CAP, multi_edge=multi_edge) + return ngc.ksp(g, s, t, ngc.KspOptions(k, sel, **kw)) + + +CHAIN = [(0, 1, 1, 1), (1, 2, 1, 1), (2, 3, 1, 1), (0, 2, 1, 3), (1, 3, 1, 3)] + + +def test_order_and_ceilings(): + g = bgraph(4, CHAIN) + got = ksp(g, 0, 3, 8) + assert [c for c, _ in got] == [3, 4, 4] + assert all(isinstance(p, ngc.Path) and p.cost() == c for c, p in got) + assert got[0][1].hops() == [[0], [2], [4]] + assert [c for c, _ in ksp(g, 0, 3, 8, max_path_cost=ngc.Stretch(1.0))] == [3] + assert [c for c, _ in ksp(g, 0, 3, 8, max_path_cost=ngc.Stretch(1.5))] == [3, 4, 4] + assert [c for c, _ in ksp(g, 0, 3, 8, max_path_cost=ngc.Absolute(3))] == [3] + assert ksp(g, 0, 3, 8, max_path_cost=ngc.Absolute(0)) == [] + assert len(ksp(g, 0, 3, 2)) == 2 + # The Stretch baseline is static: gating the middle edge drops the cost-3 path only. + residual = [1, 1, 0, 1, 1] + assert ksp(g, 0, 3, 8, max_path_cost=ngc.Stretch(1.0), residual=residual) == [] + assert [c for c, _ in ksp(g, 0, 3, 8, residual=residual)] == [4, 4] + excluded = g.eligibility([0], []) + assert ksp(g, 0, 3, 8, elig=excluded) == [] + + +def test_expand_collapse_and_the_single_path(): + pr = bgraph(3, [(0, 1, 1, 1), (0, 1, 1, 1), (1, 2, 1, 1), (1, 2, 1, 1)]) + assert len(ksp(pr, 0, 2, 8)) == 4 + assert len(ksp(pr, 0, 2, 8, multi_edge=False)) == 1 + assert [p.hops() for _c, p in ksp(pr, 0, 2, 3)] == [ + [[0], [2]], + [[0], [3]], + [[1], [2]], + ] + three = bgraph( + 6, + [ + (0, 2, 1, 1), + (2, 3, 1, 1), + (3, 5, 1, 1), + (0, 1, 1, 1), + (1, 4, 1, 1), + (4, 5, 1, 1), + ], + ) + for tie in (DET, PREFER): + first = ksp(three, 0, 5, 1, tie=tie)[0][1] + single = ngc.PathSelection(tie, CAP, multipath=False) + for direction, roots, targets in ( + (ngc.Direction.FORWARD, 0, 5), + (ngc.Direction.REVERSE, 5, 0), + ): + r = ngc.spf( + three, roots, ngc.SpfOptions(direction, single, targets=targets) + ) + assert r.dag == first.to_dag() + + +def test_ksp_validation_order(): + g = bgraph(3, [(0, 1, 1, 1), (1, 2, 1, 1)]) + other = bgraph(3, [(0, 1, 1, 1)]) + with pytest.raises(ValueError, match=r"^src: node 3 out of node range \[0, 3\)$"): + ksp(g, 3, 1, 1) + with pytest.raises(ValueError, match=r"^dst: node -1 out of node range"): + ksp(g, 0, -1, 1) + with pytest.raises(ValueError, match=r"^dst: node 1180591620717411303424 out of"): + ksp(g, 0, 2**70, 1) + with pytest.raises( + ValueError, match="^node 1 is in both endpoint sets: src and dst" + ): + ksp(g, 1, 1, 1) + with pytest.raises(ValueError, match=r"^k must be >= 1 \(got 0\)$"): + ksp(g, 0, 2, 0) + with pytest.raises(ValueError, match="k must be an integer"): + ksp(g, 0, 2, 1.5) + with pytest.raises(ValueError, match="^max_path_cost Absolute cost must be >= 0"): + ksp(g, 0, 2, 1, max_path_cost=ngc.Absolute(-1)) + with pytest.raises(ValueError, match="^max_path_cost Stretch factor"): + ksp(g, 0, 2, 1, max_path_cost=ngc.Stretch(0.5)) + with pytest.raises(ValueError, match="^max_path_cost Stretch factor"): + ksp(g, 0, 2, 1, max_path_cost=ngc.Stretch(float("nan"))) + with pytest.raises(TypeError, match="max_path_cost must be Absolute, Stretch"): + ksp(g, 0, 2, 1, max_path_cost=3) + with pytest.raises(ValueError, match=r"^residual\[1\] = 2 is outside"): + ksp(g, 0, 2, 1, residual=[1, 2]) + with pytest.raises(ValueError, match="^foreign Eligibility"): + ksp(g, 0, 2, 1, elig=other.eligibility([], [0])) + # The order: the endpoints, k, the ceiling, the residual. + with pytest.raises(ValueError, match="both endpoint sets"): + ksp(g, 2, 2, 0, max_path_cost=ngc.Absolute(-1), residual=[9]) + with pytest.raises(ValueError, match="^k must be"): + ksp(g, 0, 2, 0, max_path_cost=ngc.Absolute(-1), residual=[9]) + with pytest.raises(ValueError, match="^max_path_cost"): + ksp(g, 0, 2, 1, max_path_cost=ngc.Absolute(-1), residual=[9]) + # A huge k lists every path (no error). + assert len(ksp(g, 0, 2, 2**70)) == 1 + with pytest.raises(TypeError, match="KspOptions expected"): + ngc.ksp(g, 0, 2, ngc.PathSelection(DET, CAP)) + + +def test_resolve_to_paths(): + # 0->1 twice (cost 1), 0->2 (1), 0->3 (5), 1->3 (1), 2->3 (1): ids in this order. + g = bgraph( + 4, + [ + (0, 1, 1, 1), + (0, 1, 1, 1), + (0, 2, 1, 1), + (0, 3, 1, 5), + (1, 3, 1, 1), + (2, 3, 1, 1), + ], + ) + dag = ngc.PredDAG.from_csr( + g, [0, 0, 2, 3, 6], [0, 0, 0, 0, 1, 2], [0, 1, 2, 3, 4, 5] + ) + grouped = ngc.resolve_to_paths(g, dag, 0, 3) + assert [p.hops() for p in grouped] == [[[0, 1], [4]], [[2], [5]], [[3]]] + assert [p.cost() for p in grouped] == [2, 2, 5] + split = ngc.resolve_to_paths(g, dag, 0, 3, split_parallel_edges=True) + assert [p.hops() for p in split] == [[[0], [4]], [[1], [4]], [[2], [5]], [[3]]] + assert len(ngc.resolve_to_paths(g, dag, 0, 3, True, 2)) == 2 + assert ngc.resolve_to_paths(g, dag, 3, 0) == [] + other = bgraph(4, [(0, 1, 1, 1)]) + with pytest.raises(ValueError, match="^foreign PredDAG"): + ngc.resolve_to_paths(other, dag, 0, 3) + with pytest.raises(ValueError, match=r"^src: node 4 out of node range \[0, 4\)$"): + ngc.resolve_to_paths(g, dag, 4, 3) + with pytest.raises( + ValueError, match="^node 2 is in both endpoint sets: src and dst" + ): + ngc.resolve_to_paths(g, dag, 2, 2) + with pytest.raises(ValueError, match=r"^max_paths must be >= 1 \(got 0\)$"): + ngc.resolve_to_paths(g, dag, 0, 3, False, 0) + # A search's DAG resolves the same way from a reverse search. + sel = ngc.PathSelection(DET, CAP) + fw = ngc.spf(g, 0, ngc.SpfOptions(ngc.Direction.FORWARD, sel)).dag + rv = ngc.spf(g, 3, ngc.SpfOptions(ngc.Direction.REVERSE, sel)).dag + assert ngc.resolve_to_paths(g, fw, 0, 3) == ngc.resolve_to_paths(g, rv, 0, 3) + + +@needs_hooks +def test_python_result_lists_are_all_or_nothing(): + g = bgraph(4, CHAIN) + opts = ngc.KspOptions(8, ngc.PathSelection(DET, CAP)) + want = ngc.ksp(g, 0, 3, opts) + dag = ngc.spf( + g, 0, ngc.SpfOptions(ngc.Direction.FORWARD, ngc.PathSelection(DET, CAP)) + ).dag + want_paths = ngc.resolve_to_paths(g, dag, 0, 2, True) + for fn, args, check in ( + (ngc.ksp, (g, 0, 3, opts), lambda r: r == want), + (ngc.resolve_to_paths, (g, dag, 0, 2, True), lambda r: r == want_paths), + ): + failures = 0 + for k in range(200): + hit, _seen, result, error = ext._fail_python_allocation(fn, args, k) + if not hit: + assert check(result) + break + failures += 1 + assert result is None and isinstance(error, (MemoryError, RuntimeError)), ( + error + ) + assert check(fn(*args)) + assert failures >= 3 diff --git a/tests/py/test_public_surface.py b/tests/py/test_public_surface.py index 638b980..45fb68a 100644 --- a/tests/py/test_public_surface.py +++ b/tests/py/test_public_surface.py @@ -1,7 +1,8 @@ """The public surface: the graph on units, Eligibility, the conversions, the route structures, -the selection and placement axes, the ledger, the policy engine, the DagCache and the -evaluators; the extension's private entries, which netgraph_core never re-exports; and the -spellings the interface grooming retired (APPROACH 12), which exist nowhere, without aliases.""" +the selection and placement axes, the ledger, the policy engine, the DagCache, the evaluators +and the public search; the extension's private entry, which netgraph_core never re-exports; +the spellings the interface grooming retired and the retired search entry points (APPROACH 12), +which exist nowhere, without aliases.""" import _netgraph_core import pytest @@ -37,6 +38,7 @@ "FlowPolicy", "MAX_FLOWS_PER_CALL", "DagCache", + "DagCacheMiss", "DagCacheStats", "CapacityOptions", "SensitivityOptions", @@ -46,10 +48,18 @@ "capacity", "batch_capacity", "sensitivity", + "Direction", + "SpfOptions", + "SpfResult", + "UNREACHABLE", + "spf", + "KspOptions", + "ksp", + "resolve_to_paths", } -# Shipped private entries: the flow core's recorder entry (APPROACH 2.2) and the internal search. -PRIVATE = {"_place_global_units", "_spf"} +# The shipped private entry: the flow core's recorder entry (APPROACH 2.2). +PRIVATE = {"_place_global_units"} # The private hooks (NETGRAPH_CORE_PRIVATE_HOOKS: the development build only): module functions # and class members. @@ -103,15 +113,36 @@ def test_extension_surface_is_exactly_the_public_and_private_sets(): "kMaxFlowsPerCall", } +# The retired search entry points (APPROACH 12) and the 1b private search: never bound. +RETIRED_SEARCH = { + "shortest_paths", + "shortest_paths_to", + "spf_dag", + "spf_to", + "spf_reverse", + "k_shortest_paths", + "_spf", + "EdgeSelection", + "PathAlg", +} + def test_retired_spellings_are_absent(): - for name in RETIRED: + for name in RETIRED | RETIRED_SEARCH: assert not hasattr(_netgraph_core, name), name assert not hasattr(ngc, name), name assert ngc.Graph.__name__ == "Graph" assert ngc.FlowLedger.__name__ == "FlowLedger" assert ngc.OutputOptions.__name__ == "OutputOptions" assert ngc.DiminishingReturns.__name__ == "DiminishingReturns" + # PredDAG and Path carry no resolver or alternative constructors (APPROACH 12). + for name in ("resolve_to_paths", "from_edges", "from_hops"): + assert not hasattr(ngc.PredDAG, name), name + for name in ("from_edges", "from_hops"): + assert not hasattr(ngc.Path, name), name + # The search queue is C++ only. + assert not hasattr(ngc, "SpfQueue") + assert ngc.UNREACHABLE == 2**63 - 1 def _config(): diff --git a/tests/py/test_search.py b/tests/py/test_search.py new file mode 100644 index 0000000..048bb90 --- /dev/null +++ b/tests/py/test_search.py @@ -0,0 +1,224 @@ +"""The public search through the binding (``spf``, APPROACH 6): results, the DAG's canonical +form, the validation order on unnarrowed values, the enumerations, and the all-or-nothing +construction of the result objects.""" + +from __future__ import annotations + +import _netgraph_core as ext +import numpy as np +import pytest +from private_hooks import needs_hooks + +import netgraph_core as ngc + +DET = ngc.EdgeTieBreak.DETERMINISTIC +PREFER = ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY +CAP = ngc.EdgePriority.CAPACITY +RES = ngc.EdgePriority.RESIDUAL +FWD = ngc.Direction.FORWARD +REV = ngc.Direction.REVERSE + + +def build(n, edges, q=1.0): + return ngc.Graph( + n, + [e[0] for e in edges], + [e[1] for e in edges], + [e[2] for e in edges], + [e[3] for e in edges], + q, + ) + + +def ids(g, positions): + return sorted(int(e) for e, p in enumerate(g.input_index()) if p in positions) + + +def via(dag): + return sorted(int(e) for e in dag.via_edges()) + + +def opts(direction=FWD, selection=None, **kw): + return ngc.SpfOptions(direction, selection or ngc.PathSelection(DET, CAP), **kw) + + +ANYCAST = [(0, 1, 1, 1), (1, 2, 1, 1), (0, 3, 1, 2), (3, 2, 1, 5), (1, 4, 1, 5)] + + +def test_full_search_and_anycast(): + g = build(5, ANYCAST) + full = ngc.spf(g, 0, opts()) + assert full.costs.dtype == np.int64 + assert list(full.costs) == [0, 1, 2, 2, 6] + assert full.target_cost is None + assert not full.costs.flags.writeable + any_ = ngc.spf(g, [0], opts(targets=[2, 4])) + assert any_.costs is None + assert any_.target_cost == 2 + assert via(any_.dag) == ids(g, {0, 1}) + rev = ngc.spf(g, [2, 4], opts(REV, targets=0)) + assert rev.dag == any_.dag + assert rev.target_cost == 2 + none = ngc.spf(g, 2, opts(targets=0)) + assert none.target_cost is None + assert list(none.dag.via_edges()) == [] + unreachable = ngc.spf(g, 2, opts()) + assert list(unreachable.costs) == [ + ngc.UNREACHABLE, + ngc.UNREACHABLE, + 0, + ngc.UNREACHABLE, + ngc.UNREACHABLE, + ] + # Reading a field twice returns the same object: the result allocates nothing on access. + assert full.dag is full.dag and full.costs is full.costs + assert "target_cost=2" in repr(any_) + + +def test_reverse_full_search_is_forward_oriented(): + g = build(4, [(0, 1, 1, 1), (0, 1, 1, 1), (0, 2, 1, 2), (1, 3, 1, 1), (2, 3, 1, 1)]) + r = ngc.spf(g, 3, opts(REV)) + assert list(r.costs) == [2, 1, 1, 0] + assert via(r.dag) == ids(g, {0, 1, 3, 4}) + off = list(r.dag.parent_offsets()) + assert off[0] == 0 and off[-1] == len(r.dag.via_edges()) + + +def test_staged_single_path_review13_d3_both_directions(): + # s -> v (1, prio 1), v -> t (3, prio 1), v -> a -> b -> t (1 + 1 + 1, prio 2): the + # bottleneck of every walk is 1, so the two-hop walk wins under both tie modes. + g = build(5, [(0, 1, 1, 1), (1, 4, 1, 3), (1, 2, 2, 1), (2, 3, 2, 1), (3, 4, 2, 1)]) + for tie in (DET, PREFER): + s = ngc.PathSelection(tie, CAP, multipath=False) + f = ngc.spf(g, 0, opts(selection=s, targets=4)) + assert via(f.dag) == ids(g, {0, 1}) + assert f.target_cost == 4 + r = ngc.spf(g, 4, opts(REV, selection=s, targets=0)) + assert r.dag == f.dag + + +def test_residual_gating_and_priority(): + # Capacities 5; residuals by input [5, 4, 1, 3, 2]: 0->1->3 has bottleneck 4. + g = build(4, [(0, 1, 5, 1), (1, 3, 5, 1), (0, 2, 5, 1), (2, 3, 5, 1), (0, 3, 5, 2)]) + by_input = [5, 4, 1, 3, 2] + residual = np.array([by_input[int(p)] for p in g.input_index()], dtype=np.int64) + s = ngc.PathSelection(PREFER, RES, multipath=False) + r = ngc.spf(g, 0, opts(selection=s, targets=3, residual=residual)) + assert via(r.dag) == ids(g, {0, 1}) + # Gated at 4 units: only 0->1 (5) and 1->3 (4) are routable on that walk; the direct edge + # (residual 2) is gated out, so the cost-2 walk is the two-hop one through node 1. + gated = ngc.spf(g, 0, opts(targets=3, residual=residual, min_residual=4)) + assert gated.target_cost == 2 + assert via(gated.dag) == ids(g, {0, 1}) + # min_residual without a residual gates nothing. + assert ngc.spf(g, 0, opts(min_residual=7)).costs[3] == 2 + + +def test_validation_order_on_unnarrowed_values(): + g = build(3, [(0, 1, 2, 1), (1, 2, 2, 1)]) + other = build(3, [(0, 1, 2, 1)]) + with pytest.raises(ValueError, match=r"^roots: the node set is empty$"): + ngc.spf(g, [], opts()) + with pytest.raises(ValueError, match=r"^roots: node 3 out of node range \[0, 3\)$"): + ngc.spf(g, 3, opts()) + big = 2**70 + with pytest.raises(ValueError, match=rf"^roots: node {big} out of node range"): + ngc.spf(g, [0, big], opts()) + with pytest.raises(ValueError, match=r"^targets: the node set is empty$"): + ngc.spf(g, 0, opts(targets=[])) + with pytest.raises(ValueError, match=r"^targets: node -1 out of node range"): + ngc.spf(g, 0, opts(targets=[-1])) + with pytest.raises( + ValueError, match=r"^node 1 is in both endpoint sets: roots and targets" + ): + ngc.spf(g, [0, 1], opts(targets=[1])) + with pytest.raises(ValueError, match="^multipath = false requires targets"): + ngc.spf(g, 0, opts(selection=ngc.PathSelection(DET, CAP, multipath=False))) + with pytest.raises(ValueError, match="^residual has length 1, expected 2"): + ngc.spf(g, 0, opts(residual=[1])) + with pytest.raises(ValueError, match=r"^residual\[1\] = 3 is outside"): + ngc.spf(g, 0, opts(residual=[1, 3])) + with pytest.raises(ValueError, match=r"^residual\[0\] = -" + str(big)): + ngc.spf(g, 0, opts(residual=[-big, 1])) + with pytest.raises( + ValueError, match=r"^min_residual must be at least 1 unit \(got 0\)$" + ): + ngc.spf(g, 0, opts(min_residual=0)) + with pytest.raises(ValueError, match=r"min_residual must be an integer"): + ngc.spf(g, 0, opts(min_residual=1.5)) + with pytest.raises(ValueError, match="^foreign Eligibility"): + ngc.spf(g, 0, opts(elig=other.eligibility([], [0]))) + # Several defects: the contract's order (roots, targets, overlap, single path, residual, + # min_residual, Eligibility). + with pytest.raises(ValueError, match="^roots: the node set is empty$"): + ngc.spf(g, [], opts(targets=[], residual=[1], min_residual=0)) + with pytest.raises(ValueError, match="both endpoint sets"): + ngc.spf(g, 0, opts(targets=0, residual=[])) + with pytest.raises(ValueError, match="requires targets"): + ngc.spf( + g, + 0, + opts(selection=ngc.PathSelection(DET, CAP, multipath=False), residual=[]), + ) + with pytest.raises(ValueError, match="^residual"): + ngc.spf(g, 0, opts(residual=[1, 9], min_residual=0)) + with pytest.raises(ValueError, match="^min_residual"): + ngc.spf(g, 0, opts(min_residual=0, elig=other.eligibility([], [0]))) + # A huge min_residual gates every residual edge (no error). + assert list(ngc.spf(g, 0, opts(residual=[2, 2], min_residual=big)).costs)[1:] == [ + ngc.UNREACHABLE, + ngc.UNREACHABLE, + ] + + +def test_options_types_and_enumerations(): + g = build(2, [(0, 1, 1, 1)]) + o = opts(targets=[1], min_residual=3) + assert o.direction == FWD and o.targets == [1] and o.min_residual == 3 + assert o.residual is None and o.elig is None + with pytest.raises(ValueError, match="^direction: 7 is not a value of Direction$"): + ngc.SpfOptions(ngc.Direction(7), ngc.PathSelection(DET, CAP)) + with pytest.raises(TypeError): + ngc.SpfOptions(FWD, ngc.PathSelection(DET, CAP), fanout_edges=[0]) + with pytest.raises(TypeError, match=r"^spf\(\): incompatible function arguments"): + ngc.spf(g, 0, opts(), fanout_edges=[0]) + with pytest.raises(TypeError, match="SpfOptions expected"): + ngc.spf(g, 0, ngc.PathSelection(DET, CAP)) + with pytest.raises(TypeError): + ngc.SpfOptions(FWD) + # Roots as a NumPy array, with duplicates. + r = ngc.spf(g, np.array([0, 0], dtype=np.int32), opts()) + assert list(r.costs) == [0, 1] + + +@needs_hooks +def test_python_result_construction_is_all_or_nothing(): + # Every Python object allocation of the call fails once: the call raises (never crashes) + # and a clean retry gives the same result. + g = build(5, ANYCAST) + o = opts(targets=[2, 4]) + want = ngc.spf(g, 0, o) + seen = None + k = 0 + failures = 0 + while True: + hit, seen, result, error = ext._fail_python_allocation(ngc.spf, (g, 0, o), k) + if not hit: + assert result is not None and result.dag == want.dag + break + failures += 1 + assert result is None and isinstance(error, (MemoryError, RuntimeError)), error + again = ngc.spf(g, 0, o) + assert again.dag == want.dag and again.target_cost == want.target_cost + k += 1 + assert failures >= 3 and seen > 0 + full = opts() + want_full = ngc.spf(g, 0, full) + for k in range(40): + hit, _seen, result, error = ext._fail_python_allocation( + ngc.spf, (g, 0, full), k + ) + if not hit: + assert list(result.costs) == list(want_full.costs) + break + assert result is None and error is not None From c1c9de77a328a56aef3f55be34f5aec8cb82fec0 Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Sun, 11 Oct 2026 22:25:31 -0700 Subject: [PATCH 08/39] Phase 1e: graph construction by counting passes The Graph constructor numbers the edges with stable counting passes instead of a full sort. Costs are ranked through a hash table that reuses the graph's own arrays; above 65,536 distinct costs, or when the table probes too long, the costs are sorted instead. Results are unchanged; construction takes 21 to 91 % less time than 0.12. An empty NumPy view from a graph accessor now also keeps its graph alive. Co-Authored-By: Claude Opus 5.5 --- CHANGELOG.md | 7 +- CMakeLists.txt | 5 +- bindings/python/module.cpp | 3 +- include/netgraph/core/detail/graph_access.hpp | 80 ++ include/netgraph/core/graph.hpp | 33 +- python/netgraph_core/_docs.py | 8 + src/graph.cpp | 453 ++++++++-- src/search.cpp | 5 +- tests/cpp/fault_injection.hpp | 2 + tests/cpp/flow_ledger_fault_tests.cpp | 20 +- tests/cpp/graph_concurrency_tests.cpp | 156 ++++ tests/cpp/graph_fault_tests.cpp | 178 ++++ tests/cpp/graph_layout_tests.cpp | 800 ++++++++++++++++++ tests/cpp/graph_reference_1d.hpp | 200 +++++ tests/cpp/layout_checker.hpp | 221 +++++ tests/py/test_graph.py | 106 +++ 16 files changed, 2207 insertions(+), 70 deletions(-) create mode 100644 include/netgraph/core/detail/graph_access.hpp create mode 100644 tests/cpp/graph_concurrency_tests.cpp create mode 100644 tests/cpp/graph_fault_tests.cpp create mode 100644 tests/cpp/graph_layout_tests.cpp create mode 100644 tests/cpp/graph_reference_1d.hpp create mode 100644 tests/cpp/layout_checker.hpp diff --git a/CHANGELOG.md b/CHANGELOG.md index 2f74b4d..30bdb5e 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -18,7 +18,12 @@ units), one flow core, one placement engine. It replaces the 0.11 API. `EdgeId` is the rank of an edge in `(src, cost, dst, input)` with `input_index()` mapping ids to input positions. Validation reports the first defect in a fixed order (the resolution, the unit values, the shapes, zero or negative costs, the remaining bounds including the cost-sum - guard), on the exact integers also beyond int64. Accessors return read-only NumPy views. + guard), on the exact integers also beyond int64. Accessors return read-only NumPy views that + keep their graph alive, also when empty. + Construction uses stable counting passes: expected linear in edges plus nodes for bounded, + well-distributed distinct costs. It sorts all costs above 65,536 distinct costs or when the + cumulative hash-probe budget is exhausted. An edgeless graph needs validation and two + zero-filled offset arrays. Moving a graph no longer allocates. `Eligibility` is built from excluded node ids and EdgeIds, with `Eligibility.intersect(a, b)`. `to_units` (round half up) and `as_float` are the only conversions between physical values and units. diff --git a/CMakeLists.txt b/CMakeLists.txt index 4a5183a..03c66aa 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -19,6 +19,8 @@ if(NETGRAPH_CORE_BUILD_TESTS) enable_testing() add_executable(netgraph_core_tests tests/cpp/graph_tests.cpp + tests/cpp/graph_layout_tests.cpp + tests/cpp/graph_concurrency_tests.cpp tests/cpp/flow_core_tests.cpp tests/cpp/flow_core_deletion_tests.cpp tests/cpp/eligibility_tests.cpp @@ -45,7 +47,8 @@ add_executable(netgraph_core_tests endif() # Allocation-failure tests replace the global operator new: a separate executable. add_executable(netgraph_core_fault_tests tests/cpp/flow_ledger_fault_tests.cpp tests/cpp/flow_policy_fault_tests.cpp - tests/cpp/flow_core_deletion_fault_tests.cpp tests/cpp/search_fault_tests.cpp) + tests/cpp/flow_core_deletion_fault_tests.cpp tests/cpp/search_fault_tests.cpp + tests/cpp/graph_fault_tests.cpp) target_link_libraries(netgraph_core_fault_tests PRIVATE netgraph_core GTest::gtest_main) target_include_directories(netgraph_core_fault_tests PRIVATE tests/cpp) if(NETGRAPH_CORE_COVERAGE AND (CMAKE_CXX_COMPILER_ID MATCHES "GNU|Clang")) diff --git a/bindings/python/module.cpp b/bindings/python/module.cpp index 18ca689..1a29525 100644 --- a/bindings/python/module.cpp +++ b/bindings/python/module.cpp @@ -72,8 +72,9 @@ namespace { // Read-only NumPy view of a span owned by `owner`. template py::array readonly_view(std::span s, const py::handle& owner, const py::dtype& dtype) { + static constexpr T empty_element {}; py::array arr(dtype, {static_cast(s.size())}, {static_cast(sizeof(T))}, - s.data(), owner); + s.empty() ? &empty_element : s.data(), owner); py::detail::array_proxy(arr.ptr())->flags &= ~py::detail::npy_api::NPY_ARRAY_WRITEABLE_; return arr; } diff --git a/include/netgraph/core/detail/graph_access.hpp b/include/netgraph/core/detail/graph_access.hpp new file mode 100644 index 0000000..3ad4913 --- /dev/null +++ b/include/netgraph/core/detail/graph_access.hpp @@ -0,0 +1,80 @@ +/* The graph's internal entry points (internal, APPROACH 3). + + The internal reverse-source copy (APPROACH 3: "the stored copy is internal, for locality") is + read by the reverse search through this struct; the tests read it, and the retained array + bytes, the same way. Header-only and inline: nothing here is a library symbol, and no Python + name exists for it. The construction counters exist in hooks builds only (the C++ tests' + branch observations); the hooks-off symbol check lists their names. */ +#pragma once + +#include +#include +#include +#include + +#include "netgraph/core/graph.hpp" + +namespace netgraph::core::detail { + +// The fixed hash of the distinct-cost table (splitmix64's finalizer; the table index is its low +// bits). The construction uses it; the tests build colliding costs from it. +[[nodiscard]] inline std::uint64_t cost_hash(Cost c) noexcept { + auto x = static_cast(c); + x ^= x >> 30; + x *= 0xbf58476d1ce4e5b9ULL; + x ^= x >> 27; + x *= 0x94d049bb133111ebULL; + x ^= x >> 31; + return x; +} + +struct GraphAccess { + // in_col_indices[slot] = edge_src()[in_adj_edge_index()[slot]], filled before the graph is + // published and never written after. + [[nodiscard]] static std::span in_col_indices(const Graph& g) noexcept { return g.in_col_indices_; } + + // The retained arrays' heap payload: capacity() and size() times the element size, summed. + struct Retained { + std::size_t capacity_bytes {0}; + std::size_t size_bytes {0}; + std::size_t arrays {0}; + }; + [[nodiscard]] static Retained retained(const Graph& g) noexcept { + Retained r; + auto add = [&r](const auto& v) { + using T = typename std::remove_cvref_t::value_type; + r.capacity_bytes += v.capacity() * sizeof(T); + r.size_bytes += v.size() * sizeof(T); + ++r.arrays; + }; + add(g.capacity_); + add(g.cost_); + add(g.src_); + add(g.dst_); + add(g.input_index_); + add(g.row_offsets_); + add(g.in_row_offsets_); + add(g.in_adj_edge_index_); + add(g.in_col_indices_); + return r; + } +}; + +#if NETGRAPH_CORE_PRIVATE_HOOKS +// Test evidence (C++ tests, hooks builds only): what the last construction on this thread did. +struct ConstructionCounts { + std::int64_t hashed {0}; // constructions whose ranks came from the hash table + std::int64_t fallback {0}; // constructions whose ranks came from the sort of all costs + std::int64_t distinct_limit {0}; // fallbacks at the (L + 1)th distinct cost + std::int64_t exhausted_collection {0}; // fallbacks: the probe budget ran out at an input lookup + std::int64_t exhausted_growth {0}; // fallbacks: the probe budget ran out during a table growth + std::int64_t last_distinct {0}; // K of the last construction + std::int64_t last_table_slots {0}; + std::int64_t last_probes {0}; // probes examined by the last construction (<= last_budget) + std::int64_t last_budget {0}; // its B = 8E + 8 x 65,536 + std::int64_t fused {0}; // constructions taking the combined-key passes (N K < E) +}; +ConstructionCounts& thread_construction_counts() noexcept; +#endif + +} // namespace netgraph::core::detail diff --git a/include/netgraph/core/graph.hpp b/include/netgraph/core/graph.hpp index f657d56..c261fcc 100644 --- a/include/netgraph/core/graph.hpp +++ b/include/netgraph/core/graph.hpp @@ -10,6 +10,10 @@ namespace netgraph::core { +namespace detail { +struct GraphAccess; +} // namespace detail + // Converts a physical value to units of the resolution q, rounding half up. The only way a // physical number enters Core. Throws std::invalid_argument for NaN, infinity, a negative value, // a result at or above the domain bound 2^62, or a resolution that is not a power of two in @@ -33,8 +37,20 @@ namespace netgraph::core { // in the same order before narrowing any value, so the reported defect does not depend on the // representation of the input. // +// Construction (APPROACH 3): stable counting passes by dst, cost rank and src give the id order, +// two more by cost rank and dst the reverse CSR; when N K < E, combined keys do it in two forward +// passes (dst, then (src, rank)) and one reverse pass ((dst, rank)). An edgeless graph is its +// validation and two zero-filled offset arrays. The cost ranks come from the distinct costs +// collected in a hash table while there are at most 65,536 of them and a cumulative probe budget +// of 8E + 8 x 65,536 table slots lasts, else from a sort of all costs; both give the same ranks. +// Expected linear in E + N for a bounded number of distinct costs, O(N + E log(E + 1)) at worst. +// Retained: 36 bytes per edge plus 8 (N + 1) bytes of offsets. +// // A copy is a new graph: same ids and input map, a new uid. Uids come from one process-wide -// 64-bit counter and are never reused. +// 64-bit counter and are never reused. A move transfers every array and the uid without +// allocation. The source retains its resolution, has uid, node count, edge count, maximum cost and +// cost GCD zero, exposes empty edge arrays, and exposes one zero in each offset view. Its empty +// offset vectors use an immutable static zero for those views. class Graph { public: Graph(std::int32_t num_nodes, @@ -65,11 +81,11 @@ class Graph { // id -> input position. The inverse permutation is the caller's (one O(E) scatter). [[nodiscard]] std::span input_index() const noexcept { return input_index_; } // Forward CSR offsets (N + 1 entries, [0] = 0, [N] = E): the id ranges of the out-edges. - [[nodiscard]] std::span row_offsets() const noexcept { return row_offsets_; } + [[nodiscard]] std::span row_offsets() const noexcept { return offsets(row_offsets_); } // Reverse CSR: the in-edges of v are in_adj_edge_index()[in_row_offsets()[v] .. // in_row_offsets()[v + 1]) (public EdgeIds); the reverse column is // edge_src()[in_adj_edge_index()[slot]]. - [[nodiscard]] std::span in_row_offsets() const noexcept { return in_row_offsets_; } + [[nodiscard]] std::span in_row_offsets() const noexcept { return offsets(in_row_offsets_); } [[nodiscard]] std::span in_adj_edge_index() const noexcept { return in_adj_edge_index_; } // Static eligibility from excluded ids (duplicates and unsorted lists accepted, out-of-range @@ -79,6 +95,14 @@ class Graph { std::span excluded_edges = {}) const; private: + friend struct detail::GraphAccess; + + // The offsets of a moved-from graph (its vectors are empty): one zero. + static constexpr std::int32_t kNoOffsets[1] {0}; + [[nodiscard]] static std::span offsets(const std::vector& v) noexcept { + return v.empty() ? std::span(kNoOffsets) : std::span(v); + } + std::uint64_t uid_ {0}; double resolution_ {1.0}; std::int32_t num_nodes_ {0}; @@ -92,6 +116,9 @@ class Graph { std::vector row_offsets_ {}; std::vector in_row_offsets_ {}; std::vector in_adj_edge_index_ {}; + // The source of each reverse slot (edge_src()[in_adj_edge_index()[slot]]), stored for the + // reverse search's locality; internal (detail::GraphAccess). + std::vector in_col_indices_ {}; }; } // namespace netgraph::core diff --git a/python/netgraph_core/_docs.py b/python/netgraph_core/_docs.py index 6422e47..3a6e8e2 100644 --- a/python/netgraph_core/_docs.py +++ b/python/netgraph_core/_docs.py @@ -109,6 +109,14 @@ class Graph: position of edge ``e`` (the inverse permutation is the caller's). Every other per-edge array is in id order. Accessors return read-only NumPy views that keep the graph alive. + + Construction uses stable counting passes, not comparison sorts: expected time is + linear in ``E + N`` while the number of distinct costs is bounded, and at most + ``O(N + E log(E + 1))`` in the worst case (more than 65,536 distinct costs, or + costs that collide too often in the hash table, fall back to one sort of all + costs). A graph without edges costs only validation and its two offset arrays. The + graph keeps ``36 E + 8 (N + 1)`` bytes of arrays: the eight views plus an internal + copy of each reverse slot's source node, which the reverse search reads. """ def __init__( diff --git a/src/graph.cpp b/src/graph.cpp index 8ba5bee..f70f645 100644 --- a/src/graph.cpp +++ b/src/graph.cpp @@ -1,18 +1,44 @@ /* Graph: the one graph type on integer units (APPROACH 2.1, 3). - Construction validates the inputs in the documented order, then orders the edges by the - stable key (src, cost, dst, input): a counting pass by src places every input position in - its source's bucket (input order kept), and each bucket is sorted by (cost, dst, input). The - rank in that order is the public EdgeId, so the out-edges of u are the id range - [row_offsets[u], row_offsets[u + 1]). The reverse CSR lists the in-edges of v in - (cost, src, input) order: a counting pass by dst over the ids, then each bucket sorted by - (cost, src, id). Within one destination, equal (cost, src) means equal (src, cost, dst), whose - ids are in input order, so (cost, src, id) is (cost, src, input). + Construction validates the inputs in the documented order, then builds layout B' by stable + counting passes (each distributes items into buckets numbered by a small integer key and keeps + the earlier order inside a bucket). The cost rank of an edge is the position of its cost among + the K distinct costs, sorted. The id order is (src, cost, dst, input), whose rank is the public + EdgeId, so the out-edges of u are the id range [row_offsets[u], row_offsets[u + 1]); the + in-edges of v are listed in (cost, src, input) order. An edgeless graph is its validation and + two zero-filled offset arrays. + * N K >= E: three passes (dst, cost rank, src; least significant first) give the id order, and + two over the ids (cost rank, then dst) the reverse lists: within one (dst, cost) group the + id order is (src, input). + * N K < E (combined keys): a pass by dst, then one by (src, rank), give the id order, and one + pass over the ids by (dst, rank) the reverse lists; the two (N K + 1)-entry histograms live + in the not-yet-filled capacity and cost arrays. + The offset arrays serve as their own cursors; a pass that advances them is followed by one + that walks back, so no pass over the nodes restores them. + + The ranks: each edge first gets its cost's first-appearance ordinal from an open-addressing + table (fixed mixing, linear probing, load at most 1/4, doubled from 64 up to 2^18 slots, each + growth rebuilt from the distinct costs in their order); an + edge whose cost equals the previous edge's reuses that ordinal without a lookup. The K + distinct costs are then radix-sorted. Hashing stops on the 65,537th distinct cost, or before + a probe (one table slot examined, the terminating one included, counted across the lookups + and the growths) would exceed 8E + 8 x 65,536; the ranks then come from a radix sort of all + costs (16-bit digits). Both paths give the same ranks. + + Memory: every retained array is allocated first, at its final size; until it is filled, each + serves as scratch. The ranks go into in_col_indices_; the hash table borrows capacity_ (keys) and + src_ (ordinals) while it has at most E slots, the distinct costs cost_, their sort dst_, + input_index_ and in_adj_edge_index_; the passes use in_adj_edge_index_ (the middle forward + pass), capacity_ and cost_ (the K rank cursors or the combined histograms), and the fallback + input_index_ and in_adj_edge_index_. The only other buffers are a table larger than E slots (its + own vectors, the old and new ones briefly together at a growth) and the fallback's 2^16 digit + counts. A table of at most E slots frees no separate buffer that the allocator could keep cached. */ #include "netgraph/core/graph.hpp" #include +#include #include #include #include @@ -21,6 +47,8 @@ #include #include +#include "netgraph/core/detail/graph_access.hpp" +#include "netgraph/core/detail/private_hooks.hpp" #include "netgraph/core/detail/uid.hpp" namespace netgraph::core { @@ -32,6 +60,13 @@ std::uint64_t next_uid() noexcept { return counter.fetch_add(1, std::memory_order_relaxed) + 1; } +#if NETGRAPH_CORE_PRIVATE_HOOKS +ConstructionCounts& thread_construction_counts() noexcept { + thread_local ConstructionCounts counts; + return counts; +} +#endif + } // namespace detail namespace { @@ -52,6 +87,217 @@ int resolution_exponent(double q) { return k; } +// The cost ranks --------------------------------------------------------------------------- + + +constexpr std::int64_t kMaxHashedCosts = 65536; // L + +// The cumulative probe budget: take() runs before every table slot is examined and refuses the +// probe that would exceed the limit. +struct ProbeBudget { + std::int64_t used {0}; + std::int64_t limit {0}; + bool take() noexcept { + if (used == limit) return false; + ++used; + return true; + } +}; + +constexpr std::size_t kNoSlot = ~std::size_t {0}; + +// The distinct-cost table: key 0 marks an empty slot (costs are >= 1 after validation). +struct CostTable { + std::span key; + std::span ord; // the key's first-appearance ordinal + std::size_t mask {0}; + + // The slot holding c, or the empty slot where c belongs; kNoSlot when the budget refuses a + // probe. Every slot examined is one probe, the terminating one included. + std::size_t find(Cost c, ProbeBudget& b) const noexcept { + std::size_t s = static_cast(detail::cost_hash(c)) & mask; + for (;;) { + if (!b.take()) return kNoSlot; + if (key[s] == 0 || key[s] == c) return s; + s = (s + 1) & mask; + } + } +}; + +// Where the table lives: the first `slots` entries of two retained arrays not yet filled (E slots +// each), so the table allocates nothing and leaves no freed block behind (a freed block the +// allocator keeps cached would count in the process's resident peak); only a table larger than E +// slots gets vectors of its own. A new table is empty: growth rebuilds it from the distinct costs. +struct TableStore { + std::span key_room; + std::span ord_room; + std::vector key_own {}; + std::vector ord_own {}; + + CostTable make(std::size_t slots) { + if (slots <= key_room.size()) { + const std::span key = key_room.first(slots); + std::fill(key.begin(), key.end(), Cost {0}); + return {key, ord_room.first(slots), slots - 1}; + } + key_own.assign(slots, 0); + ord_own.resize(slots); + return {key_own, ord_own, slots - 1}; + } +}; + +// The retained arrays the hash path borrows before they are filled (each E entries, K <= E). +struct HashRooms { + std::span keys; // the table's keys while it has at most E slots + std::span ords; // the table's ordinals, the same + std::span distinct; // the distinct costs in first-appearance order + std::span a, b, c; // the rank step: ordinal -> rank, and its two position arrays +}; + +enum class RankPath { Hashed, DistinctLimit, ExhaustedCollection, ExhaustedGrowth }; + +struct RankOutcome { + RankPath path {RankPath::Hashed}; + std::int64_t distinct {0}; + std::int64_t table_slots {0}; + std::int64_t probes {0}; + std::int64_t budget {0}; +}; + +// Ranks from a sort of all E costs: a stable LSD radix sort of the input positions by cost, +// 16 bits per pass, then one scan of the sorted positions. Digits above the largest cost's bit +// length are not visited, and a pass whose digit is the same for every cost is skipped. +// `a` and `b` (E slots each) hold the positions; `count` has 2^16 entries. +template +std::int64_t ranks_by_sort(std::span cost, Cost max_cost, std::span rank, + std::span a, std::span b, + std::span count) { + const std::size_t m = cost.size(); + if (m == 0) return 0; + constexpr std::uint64_t kMask = (std::uint64_t {1} << kBits) - 1; + std::iota(a.begin(), a.end(), 0); + const auto top = static_cast(max_cost); + for (int shift = 0; shift < 64 && (top >> shift) != 0; shift += kBits) { + auto digit = [&](std::int32_t i) { + const auto c = static_cast(cost[static_cast(i)]); + return static_cast((c >> shift) & kMask); + }; + std::fill(count.begin(), count.end(), 0); + for (std::size_t j = 0; j < m; ++j) ++count[digit(static_cast(j))]; + if (count[digit(0)] == static_cast(m)) continue; // one digit value + for (std::size_t d = 0, sum = 0; d < count.size(); ++d) { + const auto c = static_cast(count[d]); + count[d] = static_cast(sum); + sum += c; + } + for (std::size_t j = 0; j < m; ++j) b[static_cast(count[digit(a[j])]++)] = a[j]; + std::swap(a, b); + } + std::int32_t r = 0; + rank[static_cast(a[0])] = 0; + for (std::size_t j = 1; j < m; ++j) { + const auto p = static_cast(a[j]); + if (cost[p] != cost[static_cast(a[j - 1])]) ++r; + rank[p] = r; + } + return std::int64_t {r} + 1; +} + +// Ordinals into `rank` (input coordinates), then ranks. The table, the distinct costs and the rank +// step live in `room` (retained arrays not yet filled); a table larger than E slots gets vectors of +// its own, freed on return. Growth rebuilds the bigger table from the distinct costs in their +// order, counting every probe. Any path other than Hashed leaves `rank` partly written for the +// caller to overwrite. +RankOutcome ranks_by_hash(std::span cost, std::span rank, const HashRooms& room) { + const std::size_t m = cost.size(); + RankOutcome out; + ProbeBudget b {0, 8 * static_cast(m) + 8 * kMaxHashedCosts}; + out.budget = b.limit; + if (m == 0) return out; // no cost, no table + std::size_t k = 0; // the distinct costs so far: room.distinct[0, k) + { + TableStore store {room.keys, room.ords}; + CostTable t = store.make(64); + auto stop = [&](RankPath path) { + out.path = path; + out.probes = b.used; + out.table_slots = static_cast(t.key.size()); + return out; + }; + Cost prev = 0; // a run of equal costs reuses the previous ordinal without a lookup + std::int32_t prev_ord = 0; + for (std::size_t i = 0; i < m; ++i) { + const Cost c = cost[i]; + if (c == prev) { + rank[i] = prev_ord; + continue; + } + std::size_t s = t.find(c, b); + if (s == kNoSlot) return stop(RankPath::ExhaustedCollection); + if (t.key[s] == 0) { + if (static_cast(k) == kMaxHashedCosts) return stop(RankPath::DistinctLimit); + if (4 * (k + 1) > t.key.size()) { // keep the load <= 1/4: grow first + t = store.make(t.key.size() * 2); + for (std::size_t j = 0; j < k; ++j) { + const std::size_t d = t.find(room.distinct[j], b); + if (d == kNoSlot) return stop(RankPath::ExhaustedGrowth); + t.key[d] = room.distinct[j]; + t.ord[d] = static_cast(j); + } + s = t.find(c, b); + if (s == kNoSlot) return stop(RankPath::ExhaustedGrowth); + } + t.key[s] = c; + t.ord[s] = static_cast(k); + room.distinct[k++] = c; + } + rank[i] = t.ord[s]; + prev = c; + prev_ord = t.ord[s]; + } + out.table_slots = static_cast(t.key.size()); + } + out.probes = b.used; + // Ordinal -> rank without the table: a radix sort of the K distinct costs. + const std::span by_ord = room.distinct.first(k); + const std::span rank_of_ord = room.a.first(k); + std::array count {}; + ranks_by_sort<8>(by_ord, *std::max_element(by_ord.begin(), by_ord.end()), rank_of_ord, room.b.first(k), + room.c.first(k), count); + for (std::size_t i = 0; i < m; ++i) rank[i] = rank_of_ord[static_cast(rank[i])]; + out.distinct = static_cast(k); + return out; +} + +// Offsets from cursors that a scatter advanced to the ends: off[k] = start(k + 1) becomes +// off[k] = start(k), off[0] = 0 (the last entry of an (N + 1)-array keeps its value). +// Counts in off[0, n) become inclusive sums (each node's end), off[n] the total: a scatter that +// decrements these cursors, walking its input backwards, leaves the starts (stable, no shift). +// The sum stays in a register (a sum through memory chains every node on the previous store). +void counts_to_ends(std::span off) noexcept { + std::int32_t sum = 0; + for (std::size_t k = 0; k + 1 < off.size(); ++k) { + sum += off[k]; + off[k] = sum; + } + off.back() = sum; +} + +// Counts in off[1, n] (node v's at v + 1) become the starts, off[0] = 0 (a running sum as above). +void counts_to_starts(std::span off) noexcept { + std::int32_t sum = 0; + for (std::size_t k = 1; k < off.size(); ++k) { + sum += off[k]; + off[k] = sum; + } +} + +template +void ends_to_starts(std::span off) noexcept { + for (std::size_t k = off.size(); k-- > 1;) off[k] = off[k - 1]; + if (!off.empty()) off[0] = 0; +} + } // namespace Amount to_units(double x, double resolution) { @@ -159,34 +405,138 @@ Graph::Graph(std::int32_t num_nodes, cost_gcd_ = cost_gcd; const auto n = static_cast(num_nodes); - // Ids: rank in (src, cost, dst, input). - row_offsets_.assign(n + 1, 0); - for (std::size_t i = 0; i < m; ++i) ++row_offsets_[static_cast(src[i]) + 1]; - for (std::size_t u = 0; u < n; ++u) row_offsets_[u + 1] += row_offsets_[u]; + // Every retained array first (36 E + 8 (N + 1) bytes); until it is filled, each serves as + // scratch. The cost ranks go into the copy's array (by input position); the hash table, the + // distinct costs and the rank step borrow the others, so the hash path allocates nothing of its + // own while the table has at most E slots (no freed block stays behind in the allocator's cache). + capacity_.resize(m); + cost_.resize(m); + src_.resize(m); + dst_.resize(m); input_index_.resize(m); + in_adj_edge_index_.resize(m); + in_col_indices_.resize(m); + row_offsets_.assign(n + 1, 0); + in_row_offsets_.assign(n + 1, 0); + const std::span rank(in_col_indices_); + const RankOutcome ro = + ranks_by_hash(cost, rank, HashRooms {capacity_, src_, cost_, dst_, input_index_, in_adj_edge_index_}); + const std::span order(input_index_); // forward passes 1 and 3 (final) + const std::span mid(in_adj_edge_index_); // forward pass 2 + const std::span bucket(capacity_); // the K rank cursors (K <= E) + + // Any other path: the ranks from a sort of all costs (the same ranks). + std::int64_t k = ro.distinct; + if (ro.path != RankPath::Hashed) { + std::vector count(std::size_t {1} << 16); + k = ranks_by_sort<16>(cost, max_cost, rank, input_index_, in_adj_edge_index_, count); + } + const auto kk = static_cast(k); +#if NETGRAPH_CORE_PRIVATE_HOOKS { - std::vector cursor(row_offsets_.begin(), row_offsets_.end() - 1); + auto& c = detail::thread_construction_counts(); + ++(ro.path == RankPath::Hashed ? c.hashed : c.fallback); + if (ro.path == RankPath::DistinctLimit) ++c.distinct_limit; + if (ro.path == RankPath::ExhaustedCollection) ++c.exhausted_collection; + if (ro.path == RankPath::ExhaustedGrowth) ++c.exhausted_growth; + c.last_distinct = k; + c.last_table_slots = ro.table_slots; + c.last_probes = ro.probes; + c.last_budget = ro.budget; + } +#endif + // An edgeless graph is its validation and its two zero-filled offset arrays (APPROACH 3). + if (m == 0) return; + + // The passes. With few nodes times few costs (N K < E), the cost rank rides with an endpoint as + // one key: forward by dst, then by (src, rank); reverse by (dst, rank) over the ids (proposal P4). + // Otherwise the five single-key passes: forward by dst, rank, src; reverse by rank, then dst. + // Both give the same orders. P4's two (N K + 1)-entry histograms live in the not-yet-filled + // capacity and cost arrays (N K + 1 <= E), so its work is O(E). + const bool fused = n * kk < m; + const std::span by_dst_rank(capacity_); // P4: (dst, rank) histogram, then cursors + const std::span by_src_rank(cost_); // P4: (src, rank) histogram, then cursors + if (fused) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + ++detail::thread_construction_counts().fused; +#endif + const std::size_t nk = n * kk; + std::fill(by_dst_rank.begin(), by_dst_rank.begin() + static_cast(nk + 1), 0); + std::fill(by_src_rank.begin(), by_src_rank.begin() + static_cast(nk + 1), 0); + // One counter update per loop: two in one loop ran several times slower (NOTES section 1). + for (std::size_t i = 0; i < m; ++i) ++by_dst_rank[static_cast(dst[i]) * kk + static_cast(rank[i]) + 1]; + for (std::size_t i = 0; i < m; ++i) ++by_src_rank[static_cast(src[i]) * kk + static_cast(rank[i]) + 1]; + for (std::size_t x = 0, sum = 0; x <= nk; ++x) sum = static_cast(by_dst_rank[x] += static_cast(sum)); + for (std::size_t x = 0, sum = 0; x <= nk; ++x) sum = static_cast(by_src_rank[x] += static_cast(sum)); + for (std::size_t v = 0; v < n; ++v) { + in_row_offsets_[v] = static_cast(by_dst_rank[(v + 1) * kk]); // ends: pass 1's cursors + row_offsets_[v] = static_cast(by_src_rank[v * kk]); + } + in_row_offsets_[n] = row_offsets_[n] = static_cast(m); + } else { + for (std::size_t i = 0; i < m; ++i) ++in_row_offsets_[static_cast(dst[i]) + 1]; + counts_to_starts(std::span(in_row_offsets_)); + } + + // Forward pass 1, by dst, from input order. The reverse offsets serve as cursors, so no pass + // over the nodes restores them: P4 walks the input backwards from the ends to the starts; the + // single-key passes walk it forwards from the starts to the ends, and reverse pass 2 walks back. + if (fused) { + for (std::size_t i = m; i-- > 0;) { + order[static_cast(--in_row_offsets_[static_cast(dst[i])])] = static_cast(i); + } + } else { for (std::size_t i = 0; i < m; ++i) { - input_index_[static_cast(cursor[static_cast(src[i])]++)] = - static_cast(i); + order[static_cast(in_row_offsets_[static_cast(dst[i])]++)] = static_cast(i); } } - for (std::size_t u = 0; u < n; ++u) { - auto first = input_index_.begin() + row_offsets_[u]; - auto last = input_index_.begin() + row_offsets_[u + 1]; - if (last - first < 2) continue; - std::sort(first, last, [&](std::int32_t a, std::int32_t b) { - const auto ia = static_cast(a); - const auto ib = static_cast(b); - if (cost[ia] != cost[ib]) return cost[ia] < cost[ib]; - if (dst[ia] != dst[ib]) return dst[ia] < dst[ib]; - return a < b; - }); + + if (fused) { + // Forward pass 2, by (src, rank), into `mid`: the final id order; the two arrays trade places. + for (std::size_t j = 0; j < m; ++j) { + const auto i = static_cast(order[j]); + const std::size_t key = static_cast(src[i]) * kk + static_cast(rank[i]); + mid[static_cast(by_src_rank[key]++)] = static_cast(i); + } + input_index_.swap(in_adj_edge_index_); + // Reverse, the ids by (dst, rank): within a key the id order gives (src, input). + for (std::size_t e = 0; e < m; ++e) { + const auto i = static_cast(input_index_[e]); + const std::size_t key = static_cast(dst[i]) * kk + static_cast(rank[i]); + in_adj_edge_index_[static_cast(by_dst_rank[key]++)] = static_cast(e); + } + } else { + // Forward pass 2, by cost rank; the cursors stay for reverse pass 1. + std::fill(bucket.begin(), bucket.begin() + static_cast(kk), 0); + for (std::size_t i = 0; i < m; ++i) ++bucket[static_cast(rank[i])]; + for (std::size_t r = 0, sum = 0; r < kk; ++r) { + const auto c = static_cast(bucket[r]); + bucket[r] = static_cast(sum); + sum += c; + } + for (std::size_t j = 0; j < m; ++j) { + const auto i = static_cast(order[j]); + mid[static_cast(bucket[static_cast(rank[i])]++)] = static_cast(i); + } + ends_to_starts(bucket.first(kk)); + + // Forward pass 3, by src; the src histogram is the forward offsets. + for (std::size_t i = 0; i < m; ++i) ++row_offsets_[static_cast(src[i])]; + counts_to_ends(std::span(row_offsets_)); + for (std::size_t j = m; j-- > 0;) { + const auto i = static_cast(mid[j]); + order[static_cast(--row_offsets_[static_cast(src[i])])] = static_cast(i); + } + + // Reverse pass 1, by cost rank over the ids (the id order is (src, cost, dst, input)). + const std::span by_cost(in_adj_edge_index_); // free again after pass 3 + for (std::size_t e = 0; e < m; ++e) { + const auto r = static_cast(rank[static_cast(order[e])]); + by_cost[static_cast(bucket[r]++)] = static_cast(e); + } } - capacity_.resize(m); - cost_.resize(m); - src_.resize(m); - dst_.resize(m); + + // The per-edge values, permuted once (the cursors and the ranks are no longer read). for (std::size_t e = 0; e < m; ++e) { const auto i = static_cast(input_index_[e]); capacity_[e] = capacity_units[i]; @@ -195,30 +545,19 @@ Graph::Graph(std::int32_t num_nodes, dst_[e] = dst[i]; } - // Reverse CSR in (cost, src, input) order. - in_row_offsets_.assign(n + 1, 0); - for (std::size_t e = 0; e < m; ++e) ++in_row_offsets_[static_cast(dst_[e]) + 1]; - for (std::size_t v = 0; v < n; ++v) in_row_offsets_[v + 1] += in_row_offsets_[v]; - in_adj_edge_index_.resize(m); - { - std::vector cursor(in_row_offsets_.begin(), in_row_offsets_.end() - 1); - for (std::size_t e = 0; e < m; ++e) { - in_adj_edge_index_[static_cast(cursor[static_cast(dst_[e])]++)] = - static_cast(e); + if (!fused) { + // Reverse pass 2, by dst, into the ranks' array, walked backwards: the reverse offsets hold + // the ends after pass 1 and return to the starts. Then the two slot arrays trade places. + const std::span slots(in_col_indices_); + const std::span by_cost(in_adj_edge_index_); + for (std::size_t j = m; j-- > 0;) { + const auto e = static_cast(by_cost[j]); + slots[static_cast(--in_row_offsets_[static_cast(dst_[e])])] = static_cast(e); } + in_adj_edge_index_.swap(in_col_indices_); } - for (std::size_t v = 0; v < n; ++v) { - auto first = in_adj_edge_index_.begin() + in_row_offsets_[v]; - auto last = in_adj_edge_index_.begin() + in_row_offsets_[v + 1]; - if (last - first < 2) continue; - std::sort(first, last, [&](EdgeId a, EdgeId b) { - const auto ia = static_cast(a); - const auto ib = static_cast(b); - if (cost_[ia] != cost_[ib]) return cost_[ia] < cost_[ib]; - if (src_[ia] != src_[ib]) return src_[ia] < src_[ib]; - return a < b; - }); - } + // The source copy, over the ranks' (or the free) array. + for (std::size_t s = 0; s < m; ++s) in_col_indices_[s] = src_[static_cast(in_adj_edge_index_[s])]; } Graph::Graph(const Graph& other) @@ -234,8 +573,10 @@ Graph::Graph(const Graph& other) input_index_(other.input_index_), row_offsets_(other.row_offsets_), in_row_offsets_(other.in_row_offsets_), - in_adj_edge_index_(other.in_adj_edge_index_) {} + in_adj_edge_index_(other.in_adj_edge_index_), + in_col_indices_(other.in_col_indices_) {} +// No allocation: the source keeps empty vectors, and its offset views read the static zero. Graph::Graph(Graph&& other) noexcept : uid_(std::exchange(other.uid_, 0)), resolution_(other.resolution_), @@ -249,9 +590,7 @@ Graph::Graph(Graph&& other) noexcept input_index_(std::move(other.input_index_)), row_offsets_(std::move(other.row_offsets_)), in_row_offsets_(std::move(other.in_row_offsets_)), - in_adj_edge_index_(std::move(other.in_adj_edge_index_)) { - other.row_offsets_.assign(1, 0); - other.in_row_offsets_.assign(1, 0); -} + in_adj_edge_index_(std::move(other.in_adj_edge_index_)), + in_col_indices_(std::move(other.in_col_indices_)) {} } // namespace netgraph::core diff --git a/src/search.cpp b/src/search.cpp index 0fbfcac..0488ed0 100644 --- a/src/search.cpp +++ b/src/search.cpp @@ -25,6 +25,7 @@ #include "netgraph/core/detail/endpoints.hpp" #include "netgraph/core/detail/enum_domain.hpp" +#include "netgraph/core/detail/graph_access.hpp" #include "netgraph/core/detail/int128.hpp" #include "netgraph/core/detail/pred_dag_builder.hpp" #include "netgraph/core/detail/traversal.hpp" @@ -412,11 +413,11 @@ Cost loop(Workspace& ws, Q& q, const SearchIn& in) { const Graph& g = *in.g; const Cost* const cost = g.cost().data(); const Amount* const cap = g.capacity_units().data(); - const NodeId* const esrc = g.edge_src().data(); const NodeId* const edst = g.edge_dst().data(); const std::int32_t* const row = g.row_offsets().data(); const std::int32_t* const in_row = g.in_row_offsets().data(); const EdgeId* const in_adj = g.in_adj_edge_index().data(); + const NodeId* const in_col = detail::GraphAccess::in_col_indices(g).data(); // in_col[s] = esrc[in_adj[s]] const std::uint8_t* const allowed = in.gate.elig != nullptr ? in.gate.elig->edge_allowed().data() : nullptr; const Amount* const res = in.gate.residual.empty() ? nullptr : in.gate.residual.data(); const Amount minr = in.gate.min_residual; @@ -475,7 +476,7 @@ Cost loop(Workspace& ws, Q& q, const SearchIn& in) { for (auto s = static_cast(in_row[ui]); s < static_cast(in_row[ui + 1]); ++s) { const auto e = static_cast(in_adj[s]); if (!candidate(e)) continue; - relax(esrc[e], d + cost[e], static_cast(e)); + relax(in_col[s], d + cost[e], static_cast(e)); } } } diff --git a/tests/cpp/fault_injection.hpp b/tests/cpp/fault_injection.hpp index 472a375..d46a039 100644 --- a/tests/cpp/fault_injection.hpp +++ b/tests/cpp/fault_injection.hpp @@ -19,6 +19,8 @@ // Allocations left before the injected failure; negative: no injection. extern std::atomic g_countdown; +// Live allocations of the replacement operator new (leak accounting). +extern std::atomic g_live; // Runs fn with the k-th allocation (from 0) failing; returns whether that failure happened // (and expects that a reached failure propagated as std::bad_alloc). diff --git a/tests/cpp/flow_ledger_fault_tests.cpp b/tests/cpp/flow_ledger_fault_tests.cpp index 8bc6526..7d8a000 100644 --- a/tests/cpp/flow_ledger_fault_tests.cpp +++ b/tests/cpp/flow_ledger_fault_tests.cpp @@ -27,6 +27,10 @@ // Allocations left before the injected failure; negative: no injection (fault_injection.hpp). // Shared by every thread; with g_workers_only the calling test thread's allocations do not count. std::atomic g_countdown {-1}; +// Live allocations of the replacement operator new (a successful allocation counts up, the +// delete of a non-null pointer counts down): the sweeps compare it before and after an operation +// to count leaks, which ASan's leak detection (off on macOS) would not. +std::atomic g_live {0}; static std::atomic g_workers_only {false}; static thread_local bool t_test_thread = false; @@ -36,14 +40,20 @@ void* operator new(std::size_t n) { g_countdown.fetch_sub(1, std::memory_order_relaxed) == 0) { throw std::bad_alloc(); } - if (void* p = std::malloc(n == 0 ? 1 : n)) return p; + if (void* p = std::malloc(n == 0 ? 1 : n)) { + g_live.fetch_add(1, std::memory_order_relaxed); + return p; + } throw std::bad_alloc(); } void* operator new[](std::size_t n) { return ::operator new(n); } -void operator delete(void* p) noexcept { std::free(p); } -void operator delete[](void* p) noexcept { std::free(p); } -void operator delete(void* p, std::size_t) noexcept { std::free(p); } -void operator delete[](void* p, std::size_t) noexcept { std::free(p); } +void operator delete(void* p) noexcept { + if (p != nullptr) g_live.fetch_sub(1, std::memory_order_relaxed); + std::free(p); +} +void operator delete[](void* p) noexcept { ::operator delete(p); } +void operator delete(void* p, std::size_t) noexcept { ::operator delete(p); } +void operator delete[](void* p, std::size_t) noexcept { ::operator delete(p); } using namespace netgraph::core; using namespace netgraph::core::test; diff --git a/tests/cpp/graph_concurrency_tests.cpp b/tests/cpp/graph_concurrency_tests.cpp new file mode 100644 index 0000000..ea71a71 --- /dev/null +++ b/tests/cpp/graph_concurrency_tests.cpp @@ -0,0 +1,156 @@ +// The graph under concurrency (APPROACH 13 threading; task 1e), run in the ThreadSanitizer suite: +// independent constructions at the same time (no shared hash or counting scratch), and full +// forward and reverse searches through both queues on one published immutable graph and on its +// copy, each thread with its own options, compared with a serial reference; every array of the +// graph is unchanged after. One batch path builds its own reverse support in its workers (no +// prepopulated frozen cache), so the reverse-source copy is read by worker threads. +#include + +#include +#include +#include +#include +#include + +#include "graph_reference_1d.hpp" +#include "netgraph/core/detail/graph_access.hpp" +#include "netgraph/core/evaluators.hpp" +#include "netgraph/core/graph.hpp" +#include "netgraph/core/search.hpp" + +using namespace netgraph::core; +using namespace netgraph::core::test; + +namespace { + +struct Input { + std::int32_t n {0}; + std::vector src {}, dst {}; + std::vector cap {}; + std::vector cost {}; +}; + +Input random_input(std::int32_t n, std::size_t m, Cost max_cost, std::uint64_t seed) { + std::mt19937_64 rng(seed); + Input in {n}; + for (std::size_t i = 0; i < m; ++i) { + in.src.push_back(static_cast(rng() % static_cast(n))); + in.dst.push_back(static_cast(rng() % static_cast(n))); + in.cap.push_back(static_cast(1 + rng() % 4)); + in.cost.push_back(static_cast(1 + rng() % static_cast(max_cost))); + } + return in; +} + +// Every array of a graph, for the before/after comparison. +struct Snapshot { + std::vector capacity; + std::vector cost; + std::vector src, dst, in_col; + std::vector input_index, row_offsets, in_row_offsets; + std::vector in_adj; + bool operator==(const Snapshot&) const = default; +}; + +Snapshot snapshot(const Graph& g) { + const auto col = detail::GraphAccess::in_col_indices(g); + return {{g.capacity_units().begin(), g.capacity_units().end()}, + {g.cost().begin(), g.cost().end()}, + {g.edge_src().begin(), g.edge_src().end()}, + {g.edge_dst().begin(), g.edge_dst().end()}, + {col.begin(), col.end()}, + {g.input_index().begin(), g.input_index().end()}, + {g.row_offsets().begin(), g.row_offsets().end()}, + {g.in_row_offsets().begin(), g.in_row_offsets().end()}, + {g.in_adj_edge_index().begin(), g.in_adj_edge_index().end()}}; +} + +} // namespace + +TEST(GraphConcurrency, IndependentConstructionsAtTheSameTime) { + constexpr int kThreads = 8; + std::vector inputs; + for (int t = 0; t < kThreads; ++t) { + // Alternate the hash path and the fallback (K > 65,536) across threads. + inputs.push_back(t % 2 == 0 ? random_input(2000, 20000, 31, static_cast(t)) + : random_input(4096, 70000, Cost{1} << 40, static_cast(t))); + } + std::vector> got(kThreads), got_rev(kThreads); + std::vector threads; + for (int t = 0; t < kThreads; ++t) { + threads.emplace_back([&, t] { + const auto& in = inputs[static_cast(t)]; + const Graph g(in.n, in.src, in.dst, in.cap, in.cost, 1.0); + got[static_cast(t)].assign(g.input_index().begin(), g.input_index().end()); + got_rev[static_cast(t)].assign(g.in_adj_edge_index().begin(), g.in_adj_edge_index().end()); + }); + } + for (auto& th : threads) th.join(); + for (int t = 0; t < kThreads; ++t) { + const auto& in = inputs[static_cast(t)]; + const auto r = reference_1d(in.n, in.src, in.dst, in.cap, in.cost, 1.0); + EXPECT_EQ(got[static_cast(t)], r.input_index) << t; + EXPECT_EQ(got_rev[static_cast(t)], r.in_adj_edge_index) << t; + } +} + +TEST(GraphConcurrency, SharedGraphSearchesBothDirectionsBothQueues) { + const auto in = random_input(3000, 30000, 20, 99); + const Graph g(in.n, in.src, in.dst, in.cap, in.cost, 1.0); + const Graph copy(g); + const auto before = snapshot(g); + struct Job { + const Graph* graph; + Direction direction; + SpfQueue queue; + NodeId root; + }; + std::vector jobs; + for (const Graph* x : {&g, ©}) { + for (Direction d : {Direction::Forward, Direction::Reverse}) { + for (SpfQueue q : {SpfQueue::Auto, SpfQueue::Heap}) { + for (NodeId r : {0, 17, 2999}) jobs.push_back({x, d, q, r}); + } + } + } + auto run = [](const Job& j) { + const std::vector roots {j.root}; + // A full search keeping every tight edge (multipath, every parallel member). + const SpfOptions o(j.direction, PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)); + return spf(*j.graph, roots, o, j.queue); + }; + std::vector serial; + for (const auto& j : jobs) serial.push_back(run(j)); + std::vector> parallel(jobs.size()); + std::vector threads; + for (std::size_t i = 0; i < jobs.size(); ++i) threads.emplace_back([&, i] { parallel[i] = run(jobs[i]); }); + for (auto& th : threads) th.join(); + for (std::size_t i = 0; i < jobs.size(); ++i) { + ASSERT_TRUE(parallel[i].has_value()); + EXPECT_EQ(parallel[i]->costs, serial[i].costs) << i; + EXPECT_TRUE(parallel[i]->dag == serial[i].dag) << i; + } + EXPECT_TRUE(snapshot(g) == before); + EXPECT_TRUE(snapshot(copy) == before); +} + +// Workers of batch_capacity without a supplied cache each build their own reverse static support +// (the CostOnly policy's DAG toward the destinations) on the shared graph. +TEST(GraphConcurrency, BatchWorkersBuildTheirOwnReverseSupport) { + const auto in = random_input(400, 4000, 9, 5); + const Graph g(in.n, in.src, in.dst, in.cap, in.cost, 1.0); + const auto before = snapshot(g); + std::vector, std::vector>> pairs; + for (NodeId s = 0; s < 32; ++s) pairs.push_back({{s}, {static_cast(399 - s)}}); + // CostOnly routing: each policy's DAG is the reverse static support toward its destination. + const CapacityOptions opts {FlowPolicyConfig(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, + PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity))}; + const auto serial = batch_capacity(g, pairs, opts, {}, 1); + const auto parallel = batch_capacity(g, pairs, opts, {}, 4); + ASSERT_EQ(serial.size(), parallel.size()); + for (std::size_t i = 0; i < serial.size(); ++i) { + EXPECT_EQ(serial[i].placed, parallel[i].placed) << i; + EXPECT_EQ(serial[i].edge_flows, parallel[i].edge_flows) << i; + } + EXPECT_TRUE(snapshot(g) == before); +} diff --git a/tests/cpp/graph_fault_tests.cpp b/tests/cpp/graph_fault_tests.cpp new file mode 100644 index 0000000..c5b50d9 --- /dev/null +++ b/tests/cpp/graph_fault_tests.cpp @@ -0,0 +1,178 @@ +// Allocation-failure atomicity of the graph's construction and copy, and the allocation-free +// move (APPROACH 13; task 1e). Runs in the fault-injection executable (fault_injection.hpp), whose +// replacement operator new fails the chosen allocation and counts the live allocations +// (g_live, in flow_ledger_fault_tests.cpp's replacement functions). +// +// Every allocation of every selected construction path fails once: the constructor raises +// std::bad_alloc, the caller's input arrays are unchanged, no allocation stays live (leaks are +// counted, not left to ASan, whose leak detection is off on macOS), and a clean retry gives the +// reference arrays and passes the complete layout checker. The paths: an empty graph, isolated +// nodes, the hash path from creation through growth and collisions, the K-limit transition into +// the fallback, the fallback from the start, the probe-budget fallbacks during collection and +// during a table growth, and the copy constructor. +#include + +#include +#include +#include +#include + +#include "fault_injection.hpp" +#include "graph_reference_1d.hpp" +#include "layout_checker.hpp" +#include "netgraph/core/detail/graph_access.hpp" +#include "netgraph/core/graph.hpp" + + + +using namespace netgraph::core; +using namespace netgraph::core::test; +using detail::GraphAccess; + +namespace { + +struct Input { + std::string name; + std::int32_t n {0}; + std::vector src {}, dst {}; + std::vector cap {}; + std::vector cost {}; +}; + +Input exact_k(std::int64_t k, std::size_t extra, std::int32_t n) { + Input in {"K=" + std::to_string(k), n}; + for (std::int64_t c = 1; c <= k; ++c) in.cost.push_back(c * 5 + 2); + for (std::size_t j = 0; j < extra; ++j) in.cost.push_back(in.cost[(j * 7919) % in.cost.size()]); + for (std::size_t i = 0; i < in.cost.size(); ++i) { + in.src.push_back(static_cast((i * 31) % static_cast(n))); + in.dst.push_back(static_cast((i * 17 + 3) % static_cast(n))); + in.cap.push_back(static_cast(i % 9)); + } + return in; +} + +Input colliding(std::size_t count) { + Input in {"collisions", 8}; + for (Cost c = 1; in.cost.size() < count; ++c) { + if ((detail::cost_hash(c) & 63) == 9) in.cost.push_back(c); + } + for (std::size_t i = 0; i < in.cost.size(); ++i) { + in.src.push_back(static_cast(i % 8)); + in.dst.push_back(static_cast((i + 3) % 8)); + in.cap.push_back(1); + } + return in; +} + +// The probe-budget fallbacks (closed-form shapes of GraphLayout.ProbeBudgetFallbackInCollectionAndGrowth): +// 64 slot-zero costs plus D duplicates alternating the 63rd and 64th, optionally a 65th one. +Input budget_shape(const std::string& name, std::size_t dups, bool tail) { + std::vector z; + for (Cost c = 1; z.size() < 65; ++c) { + if ((detail::cost_hash(c) & 2047) == 0) z.push_back(c); + } + Input in {name, 7}; + std::vector c(z.begin(), z.begin() + 64); + for (std::size_t i = 0; i < dups; ++i) c.push_back(z[i % 2 == 0 ? 62 : 63]); + if (tail) c.push_back(z[64]); + for (std::size_t i = 0; i < c.size(); ++i) { + in.src.push_back(static_cast(i % 7)); + in.dst.push_back(static_cast((i * 3) % 7)); + in.cap.push_back(static_cast(i % 11)); + in.cost.push_back(c[i]); + } + return in; +} + +std::vector paths() { + return {Input {"empty", 0}, + Input {"isolated", 64}, + exact_k(1, 10, 4), + exact_k(31, 200, 16), + exact_k(500, 100, 32), // table growths + colliding(40), + exact_k(65537, 50, 4096), // the K-limit transition after a full table + exact_k(70000, 0, 4096), + budget_shape("budget exhausted in collection", 10000, false), + budget_shape("budget exhausted in growth", 9380, true)}; +} + +void expect_built(const Graph& g, const Input& in, const std::string& where) { + const auto r = reference_1d(in.n, in.src, in.dst, in.cap, in.cost, 1.0); + EXPECT_EQ(std::vector(g.input_index().begin(), g.input_index().end()), r.input_index) << where; + EXPECT_EQ(std::vector(g.in_adj_edge_index().begin(), g.in_adj_edge_index().end()), r.in_adj_edge_index) + << where; + const auto bad = check_layout({g.num_nodes(), g.num_edges(), g.capacity_units(), g.cost(), g.edge_src(), g.edge_dst(), + g.input_index(), g.row_offsets(), g.in_row_offsets(), g.in_adj_edge_index(), + GraphAccess::in_col_indices(g), g.max_cost(), g.cost_gcd()}, + {in.n, in.src, in.dst, in.cap, in.cost}); + EXPECT_TRUE(bad.empty()) << where << ": " << (bad.empty() ? "" : bad.front()); +} + +} // namespace + +TEST(GraphFaults, EveryConstructionAllocationFailsCleanly) { + for (const auto& in : paths()) { + const Input saved = in; + long k = 0; + for (;; ++k) { + const long live = g_live.load(); + const bool failed = fails_at(k, [&] { const Graph g(in.n, in.src, in.dst, in.cap, in.cost, 1.0); }); + EXPECT_EQ(g_live.load(), live) << in.name << " allocation " << k << ": a leak"; + EXPECT_TRUE(in.src == saved.src && in.dst == saved.dst && in.cap == saved.cap && in.cost == saved.cost) + << in.name << " allocation " << k << ": the input changed"; + if (!failed) break; + const Graph retry(in.n, in.src, in.dst, in.cap, in.cost, 1.0); + expect_built(retry, in, in.name + " retry after allocation " + std::to_string(k)); + } + // The allocation count of each path is recorded for NOTES.md (the observed list). + RecordProperty(in.name + " allocations", static_cast(k)); + // An edgeless graph allocates its two offset arrays only; with edges, the nine retained + // arrays at least. + if (in.src.empty()) { + EXPECT_EQ(k, 2) << in.name; + } else { + EXPECT_GE(k, 9) << in.name; + } + } +} + +TEST(GraphFaults, EveryCopyAllocationFailsCleanly) { + for (const auto& in : paths()) { + const Graph g(in.n, in.src, in.dst, in.cap, in.cost, 1.0); + for (long k = 0;; ++k) { + const long live = g_live.load(); + const bool failed = fails_at(k, [&] { const Graph c(g); }); + EXPECT_EQ(g_live.load(), live) << in.name << " allocation " << k << ": a leak"; + expect_built(g, in, in.name + " copied-from after allocation " + std::to_string(k)); + if (!failed) break; + const Graph retry(g); + expect_built(retry, in, in.name + " copy retry"); + EXPECT_NE(retry.uid(), g.uid()); + } + } +} + +// The declared noexcept move allocates nothing. The armed injection fails the first allocation +// anywhere in the child: an allocating move would throw inside noexcept and terminate the child, +// which the parent reports as a failure (death-test subprocess, so the suite survives). +TEST(GraphFaults, MoveIsAllocationFreeUnderAnArmedFailure) { + GTEST_FLAG_SET(death_test_style, "threadsafe"); + const auto in = exact_k(31, 200, 16); + EXPECT_EXIT( + { + Graph g(in.n, in.src, in.dst, in.cap, in.cost, 1.0); + const auto uid = g.uid(); + const auto edges = g.num_edges(); + const long live = g_live.load(); + g_countdown = 0; // the next allocation, in any thread, throws + Graph m(std::move(g)); + const bool untouched = g_countdown.load() == 0; // no allocation was attempted + g_countdown = -1; + const bool ok = untouched && g_live.load() == live && m.uid() == uid && m.num_edges() == edges && + g.num_edges() == 0 && g.row_offsets().size() == 1 && // NOLINT(bugprone-use-after-move) + g.resolution() == m.resolution(); + std::_Exit(ok ? 0 : 3); + }, + ::testing::ExitedWithCode(0), ""); +} diff --git a/tests/cpp/graph_layout_tests.cpp b/tests/cpp/graph_layout_tests.cpp new file mode 100644 index 0000000..53ac375 --- /dev/null +++ b/tests/cpp/graph_layout_tests.cpp @@ -0,0 +1,800 @@ +// Layout B' storage and construction (APPROACH 3; task 1e): the independent layout checker on +// every graph, its corruption controls, the differential test against the pinned 1d constructor +// (every array, every error), the hash/fallback boundary, copies and moves, and the retained +// array payload. The manifest instance 22@1e.storage names 13 obligations; each test below names +// the one it covers ("manifest N"). +#include + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include "graph_reference_1d.hpp" +#include "layout_checker.hpp" +#include "netgraph/core/dag_cache.hpp" +#include "netgraph/core/detail/graph_access.hpp" +#include "netgraph/core/evaluators.hpp" +#include "netgraph/core/graph.hpp" +#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/search.hpp" +#include "test_utils.hpp" + +using namespace netgraph::core; +using namespace netgraph::core::test; +using detail::GraphAccess; + +namespace { + +constexpr Amount L62 = Amount{1} << 62; + +struct Input { + std::string name; + std::int32_t n {0}; + std::vector src {}, dst {}; + std::vector cap {}; + std::vector cost {}; + double q {1.0}; +}; + +LayoutInput view(const Input& in) { return {in.n, in.src, in.dst, in.cap, in.cost}; } + +LayoutSpans spans_of(const Graph& g) { + return {g.num_nodes(), g.num_edges(), g.capacity_units(), g.cost(), g.edge_src(), g.edge_dst(), g.input_index(), + g.row_offsets(), g.in_row_offsets(), g.in_adj_edge_index(), GraphAccess::in_col_indices(g), g.max_cost(), + g.cost_gcd()}; +} + +template +std::vector vec(std::span s) { + return {s.begin(), s.end()}; +} + +// Every public array, its element width, the counts, the resolution and the scans equal the +// reference's; the internal copy equals the reference's edge_src[in_adj_edge_index[slot]]. +void expect_same_as_reference(const Graph& g, const Input& in) { + const auto r = reference_1d(in.n, in.src, in.dst, in.cap, in.cost, in.q); + static_assert(sizeof(decltype(g.capacity_units())::element_type) == 8); + static_assert(sizeof(decltype(g.cost())::element_type) == 8); + static_assert(sizeof(decltype(g.edge_src())::element_type) == 4); + static_assert(sizeof(decltype(g.input_index())::element_type) == 4); + static_assert(sizeof(decltype(g.in_adj_edge_index())::element_type) == 4); + EXPECT_EQ(g.num_nodes(), r.num_nodes) << in.name; + EXPECT_EQ(g.num_edges(), static_cast(r.capacity.size())) << in.name; + EXPECT_EQ(g.resolution(), r.resolution) << in.name; + EXPECT_EQ(g.max_cost(), r.max_cost) << in.name; + EXPECT_EQ(g.cost_gcd(), r.cost_gcd) << in.name; + EXPECT_EQ(vec(g.capacity_units()), r.capacity) << in.name; + EXPECT_EQ(vec(g.cost()), r.cost) << in.name; + EXPECT_EQ(vec(g.edge_src()), r.src) << in.name; + EXPECT_EQ(vec(g.edge_dst()), r.dst) << in.name; + EXPECT_EQ(vec(g.input_index()), r.input_index) << in.name; + EXPECT_EQ(vec(g.row_offsets()), r.row_offsets) << in.name; + EXPECT_EQ(vec(g.in_row_offsets()), r.in_row_offsets) << in.name; + EXPECT_EQ(vec(g.in_adj_edge_index()), r.in_adj_edge_index) << in.name; + EXPECT_EQ(vec(GraphAccess::in_col_indices(g)), reference_in_col_indices(r)) << in.name; + const auto bad = check_layout(spans_of(g), view(in)); + EXPECT_TRUE(bad.empty()) << in.name << ": " << (bad.empty() ? "" : bad.front()); +} + +Graph build(const Input& in) { return Graph(in.n, in.src, in.dst, in.cap, in.cost, in.q); } + +std::int64_t distinct(std::vector c) { + std::sort(c.begin(), c.end()); + return std::unique(c.begin(), c.end()) - c.begin(); +} + +// --------------------------------------------------------------------------- generators + +Input random_input(std::string name, std::int32_t n, std::size_t m, Cost max_cost, std::uint64_t seed) { + std::mt19937_64 rng(seed); + Input in {std::move(name), n}; + for (std::size_t i = 0; i < m; ++i) { + in.src.push_back(static_cast(rng() % static_cast(n))); + in.dst.push_back(static_cast(rng() % static_cast(n))); + in.cap.push_back(static_cast(rng() % 5)); // zero capacities included + in.cost.push_back(static_cast(1 + rng() % static_cast(max_cost))); + } + return in; +} + +Input permuted(const Input& in, const std::vector& p, const std::string& suffix) { + Input out {in.name + suffix, in.n, {}, {}, {}, {}, in.q}; + for (std::size_t i : p) { + out.src.push_back(in.src[i]); + out.dst.push_back(in.dst[i]); + out.cap.push_back(in.cap[i]); + out.cost.push_back(in.cost[i]); + } + return out; +} + +// The same edges in B' order, reversed and shuffled (all property arrays permuted together). +std::vector orders(const Input& in, std::uint64_t seed) { + const auto r = reference_1d(in.n, in.src, in.dst, in.cap, in.cost, in.q); + std::vector sorted(r.input_index.begin(), r.input_index.end()); + std::vector rev(in.src.size()); + std::iota(rev.rbegin(), rev.rend(), 0); + std::vector sh(in.src.size()); + std::iota(sh.begin(), sh.end(), 0); + std::shuffle(sh.begin(), sh.end(), std::mt19937_64(seed)); + return {in, permuted(in, sorted, " (B' order)"), permuted(in, rev, " (reversed)"), permuted(in, sh, " (shuffled)")}; +} + +// Exactly k distinct costs, each present, plus `extra` repeats; distinct capacities. +Input exact_k(std::int64_t k, std::size_t extra, std::int32_t n, std::uint64_t seed, Cost stride = 3) { + std::mt19937_64 rng(seed); + Input in {"K=" + std::to_string(k), n}; + for (std::int64_t c = 1; c <= k; ++c) in.cost.push_back(c * stride + 1); + for (std::size_t j = 0; j < extra; ++j) in.cost.push_back(in.cost[rng() % in.cost.size()]); + std::shuffle(in.cost.begin(), in.cost.end(), rng); + for (std::size_t i = 0; i < in.cost.size(); ++i) { + in.src.push_back(static_cast(rng() % static_cast(n))); + in.dst.push_back(static_cast(rng() % static_cast(n))); + in.cap.push_back(static_cast(1 + i)); + } + return in; +} + +// Costs that share a table slot under the given mask of the construction's hash. +std::vector colliding_costs(std::uint64_t mask, std::size_t count) { + std::vector out; + for (Cost c = 1; out.size() < count; ++c) { + if ((detail::cost_hash(c) & mask) == 5) out.push_back(c); + } + return out; +} + +} // namespace + +// --------------------------------------------------------------------------- differential + +TEST(GraphLayout, DifferentialSmallAndDegenerateShapes) { + std::vector cases = { + {"N=0", 0}, + {"N=1, E=0", 1}, + {"N=1 self-loops", 1, {0, 0, 0}, {0, 0, 0}, {3, 1, 2}, {2, 2, 1}}, + {"E=0, N=1M", 1 << 20}, + random_input("N >> E", 1 << 18, 64, 9, 3), + {"parallel edges, distinct capacities", 2, {0, 0, 0, 0}, {1, 1, 1, 1}, {4, 3, 2, 1}, {5, 5, 5, 5}}, + }; + for (const auto& in : cases) expect_same_as_reference(build(in), in); +} + +TEST(GraphLayout, DifferentialRandomGraphsInFourOrders) { + for (std::uint64_t seed = 1; seed <= 200; ++seed) { + const auto base = random_input("seed " + std::to_string(seed), 1 + static_cast(seed % 37), + 1 + seed % 211, 1 + static_cast(seed % 13), seed); + for (const auto& in : orders(base, seed)) expect_same_as_reference(build(in), in); + } +} + +TEST(GraphLayout, DifferentialOneLongRowEachDirection) { + Input out {"long out-row", 50}; + for (int i = 0; i < 20000; ++i) { + out.src.push_back(7); + out.dst.push_back(i % 50); + out.cap.push_back(i); + out.cost.push_back(1 + (i * 7919) % 31); + } + for (const auto& in : orders(out, 11)) expect_same_as_reference(build(in), in); + Input in = out; + in.name = "long in-row"; + std::swap(in.src, in.dst); + for (const auto& x : orders(in, 12)) expect_same_as_reference(build(x), x); +} + +TEST(GraphLayout, DifferentialDistinctCostCounts) { + for (std::int64_t k : {1, 2, 31, 4096, 65535, 65536, 65537}) { + const auto in = exact_k(k, 4096, 4096, static_cast(k)); + ASSERT_EQ(distinct(in.cost), k); + expect_same_as_reference(build(in), in); + } + // K about E: every cost distinct. + const auto all = exact_k(200000, 0, 4096, 7); + expect_same_as_reference(build(all), all); +} + +TEST(GraphLayout, DifferentialWideIntegers) { + // Costs and units above 2^53, sums just below 2^62; separate from the large-K cases (the cost + // sum bound forbids combining them). + const Cost big = Cost{1} << 59; // four of them sum to 2^61: below the bound + Input wide {"wide costs", 3, {0, 0, 1, 2, 0}, {1, 1, 2, 0, 1}, {(Amount{1} << 53) + 1, Amount{1} << 61, 0, 5, 3}, + {big + 3, big + 1, big + 2, 1, big + 1}}; + expect_same_as_reference(build(wide), wide); + Input sums {"sums just below 2^62", 2, {0, 0}, {1, 1}, {L62 / 2, L62 / 2 - 1}, {L62 / 2, L62 / 2 - 1}}; + expect_same_as_reference(build(sums), sums); + Input units {"units above 2^53", 2, {0, 1}, {1, 0}, {(Amount{1} << 53) + 1, (Amount{1} << 53) + 3}, {1, 1}}; + expect_same_as_reference(build(units), units); +} + +TEST(GraphLayout, DifferentialHashCollisions) { + // Costs colliding in the initial table (64 slots) and in the full one (2^18 slots at load 1/4). + for (std::uint64_t mask : {std::uint64_t {63}, (std::uint64_t {1} << 18) - 1}) { + Input in {"collisions mask " + std::to_string(mask), 16}; + in.cost = colliding_costs(mask, 40); + for (std::size_t i = 0; i < in.cost.size(); ++i) { + in.src.push_back(static_cast(i % 16)); + in.dst.push_back(static_cast((i * 5) % 16)); + in.cap.push_back(static_cast(i)); + } + expect_same_as_reference(build(in), in); + } +} + +// --------------------------------------------------------------------------- errors + +namespace { + +// The exception a construction raises, as (type name, message); ("", "") when none. +template +std::pair outcome(F&& fn) { + try { + fn(); + } catch (const std::exception& e) { + return {typeid(e).name(), e.what()}; + } + return {"", ""}; +} + +// The defects of APPROACH 3's validation steps, each applied to a copy of a valid input. +using Defect = std::function; + +std::vector> defects() { + return { + {"resolution", [](Input& x) { x.q = 3.0; }}, + {"capacity negative at 2", [](Input& x) { x.cap[2] = -1; }}, + {"capacity 2^62 at 1", [](Input& x) { x.cap[1] = L62; }}, + {"num_nodes negative", [](Input& x) { x.n = -1; }}, + {"dst shorter", [](Input& x) { x.dst.pop_back(); }}, + {"cost longer", [](Input& x) { x.cost.push_back(1); }}, + {"cost zero at 3", [](Input& x) { x.cost[3] = 0; }}, + {"cost negative at 1", [](Input& x) { x.cost[1] = -4; }}, + {"src out of range at 2", [](Input& x) { x.src[2] = x.n; }}, + {"dst negative at 1", [](Input& x) { x.dst[1] = -1; }}, + {"capacity sum", [](Input& x) { x.cap[0] = L62 / 2, x.cap[3] = L62 / 2; }}, + {"cost sum", [](Input& x) { x.cost[1] = L62 / 2, x.cost[2] = L62 / 2; }}, + }; +} + +} // namespace + +TEST(GraphLayout, DifferentialErrorsSingleAndPairwise) { + const Input base {"base", 4, {0, 1, 2, 3, 0}, {1, 2, 3, 0, 2}, {1, 2, 3, 4, 5}, {1, 2, 3, 4, 5}}; + const auto ds = defects(); + std::size_t checked = 0; + for (std::size_t a = 0; a < ds.size(); ++a) { + for (std::size_t b = a; b < ds.size(); ++b) { + Input in = base; + ds[a].second(in); + if (b != a) ds[b].second(in); + const auto got = outcome([&] { (void)build(in); }); + const auto want = outcome([&] { (void)reference_1d(in.n, in.src, in.dst, in.cap, in.cost, in.q); }); + ASSERT_FALSE(want.first.empty()) << ds[a].first << " + " << ds[b].first; + EXPECT_EQ(got, want) << ds[a].first << " + " << ds[b].first; + ++checked; + } + } + EXPECT_EQ(checked, ds.size() * (ds.size() + 1) / 2); +} + +TEST(GraphLayout, DifferentialErrorsFirstInvalidIndexAndSumOrder) { + // Two defects of one kind: the lower input index is named. + Input in {"two costs", 3, {0, 1, 2, 0}, {1, 2, 0, 2}, {1, 1, 1, 1}, {1, -2, 0, 1}}; + auto got = outcome([&] { (void)build(in); }); + EXPECT_EQ(got, outcome([&] { (void)reference_1d(in.n, in.src, in.dst, in.cap, in.cost, in.q); })); + EXPECT_NE(got.second.find("cost[1] = -2"), std::string::npos) << got.second; + // Capacity and cost sums both over: the one whose running sum crosses first, in input order. + Input both {"sums", 2, {0, 0, 0}, {1, 1, 1}, {1, L62 / 2, L62 / 2}, {L62 / 2, L62 / 2, 1}}; + got = outcome([&] { (void)build(both); }); + EXPECT_EQ(got, outcome([&] { (void)reference_1d(both.n, both.src, both.dst, both.cap, both.cost, both.q); })); + EXPECT_NE(got.second.find("edge costs"), std::string::npos) << got.second; +} + +// --------------------------------------------------------------------------- manifest obligations + +// manifest 1-8: the corruption controls of the checker, on a graph built by the constructor. +// The fixture repeats (src, cost, dst) keys with distinct capacities and input positions, and its +// reverse slot order differs from its id order, with different source values. +TEST(GraphLayout, CheckerRejectsEveryCorruption) { + const Input in {"controls", 4, {0, 2, 0, 1, 0, 3, 2, 0}, {1, 1, 1, 1, 1, 1, 3, 3}, {5, 6, 7, 8, 9, 1, 2, 3}, + {2, 1, 2, 1, 2, 1, 4, 4}}; + const Graph g = build(in); + ASSERT_TRUE(check_layout(spans_of(g), view(in)).empty()); + struct Copy { + std::vector capacity; + std::vector cost; + std::vector src, dst; + std::vector input_index, row_offsets, in_row_offsets; + std::vector in_adj; + std::vector in_col; + Cost max_cost, cost_gcd; + }; + const Copy clean {vec(g.capacity_units()), vec(g.cost()), vec(g.edge_src()), vec(g.edge_dst()), vec(g.input_index()), + vec(g.row_offsets()), vec(g.in_row_offsets()), vec(g.in_adj_edge_index()), + vec(GraphAccess::in_col_indices(g)), g.max_cost(), g.cost_gcd()}; + bool reverse_differs = false; + for (std::size_t s = 0; s < clean.in_adj.size(); ++s) reverse_differs |= clean.in_adj[s] != static_cast(s); + ASSERT_TRUE(reverse_differs); + auto check = [&](const Copy& c) { + return check_layout({in.n, static_cast(in.src.size()), c.capacity, c.cost, c.src, c.dst, c.input_index, + c.row_offsets, c.in_row_offsets, c.in_adj, std::span(c.in_col), c.max_cost, + c.cost_gcd}, + view(in)); + }; + const std::vector>> controls = { + // manifest 1: wrong source or row boundary + {"wrong source", "forward:membership", [](Copy& c) { c.src[0] = 1, c.input_index[0] = c.input_index[0]; }}, + {"row boundary moved", "forward:membership", [](Copy& c) { ++c.row_offsets[1]; }}, + // manifest 2: all-zero offsets (a graph with edges) + {"all-zero offsets", "row_offsets:end", [](Copy& c) { std::fill(c.row_offsets.begin(), c.row_offsets.end(), 0); }}, + // manifest 3: missing or duplicated reverse coverage + {"duplicated reverse slot", "slot:permutation", [](Copy& c) { c.in_adj[1] = c.in_adj[0]; }}, + {"wrong reverse destination", "reverse:membership", [](Copy& c) { ++c.in_row_offsets[1]; }}, + // manifest 4: (src, cost) substituted for (cost, src) + {"(src, cost) reverse order", "reverse:order", + [](Copy& c) { + for (std::size_t v = 0; v + 1 < c.in_row_offsets.size(); ++v) { + std::sort(c.in_adj.begin() + c.in_row_offsets[v], c.in_adj.begin() + c.in_row_offsets[v + 1], + [&](EdgeId p, EdgeId q) { + return std::tuple(c.src[static_cast(p)], c.cost[static_cast(p)], p) < + std::tuple(c.src[static_cast(q)], c.cost[static_cast(q)], q); + }); + } + for (std::size_t s = 0; s < c.in_col.size(); ++s) c.in_col[s] = c.src[static_cast(c.in_adj[s])]; + }}, + // manifest 5: unstable equal-key members + {"unstable equal keys", "forward:order", + [](Copy& c) { + for (std::size_t e = 0; e + 1 < c.cost.size(); ++e) { + if (c.src[e] == c.src[e + 1] && c.cost[e] == c.cost[e + 1] && c.dst[e] == c.dst[e + 1]) { + std::swap(c.input_index[e], c.input_index[e + 1]); + std::swap(c.capacity[e], c.capacity[e + 1]); + return; + } + } + FAIL() << "the fixture has no equal-key pair"; + }}, + // manifest 6: corrupted map + {"map entries swapped", "property:capacity", [](Copy& c) { std::swap(c.input_index[0], c.input_index[1]); }}, + // manifest 7: property-only mispermutation + {"capacities swapped", "property:capacity", [](Copy& c) { std::swap(c.capacity[1], c.capacity[2]); }}, + // manifest 8: out-of-range map or slot before access + {"negative map entry", "map:permutation", [](Copy& c) { c.input_index[1] = -3; }}, + {"map entry E", "map:permutation", [](Copy& c) { c.input_index[1] = static_cast(c.input_index.size()); }}, + {"slot out of range", "slot:permutation", [](Copy& c) { c.in_adj[2] = 1 << 30; }}, + {"negative slot", "slot:permutation", [](Copy& c) { c.in_adj[2] = -1; }}, + // the brief's additional controls + {"truncated capacity", "size:capacity", [](Copy& c) { c.capacity.pop_back(); }}, + {"oversized slots", "size:in_adj_edge_index", [](Copy& c) { c.in_adj.push_back(0); }}, + {"truncated offsets", "size:in_row_offsets", [](Copy& c) { c.in_row_offsets.pop_back(); }}, + {"truncated copy", "size:in_col_indices", [](Copy& c) { c.in_col.pop_back(); }}, + {"negative offset", "row_offsets:range", [](Copy& c) { c.row_offsets[1] = -1; }}, + {"excessive offset", "in_row_offsets:range", [](Copy& c) { c.in_row_offsets[2] = 1 << 30; }}, + {"wrong copied source", "copy:source", [](Copy& c) { c.in_col[0] = (c.in_col[0] + 1) % 4; }}, + {"copy indexed by id", "copy:source", + [](Copy& c) { + for (std::size_t s = 0; s < c.in_col.size(); ++s) c.in_col[s] = c.src[s]; + }}, + {"copied source out of range", "range:in_col_indices", [](Copy& c) { c.in_col[0] = 4; }}, + {"changed maximum", "scan:max_cost", [](Copy& c) { ++c.max_cost; }}, + {"changed GCD", "scan:cost_gcd", [](Copy& c) { c.cost_gcd = 2; }}, + }; + for (const auto& [name, code, corrupt] : controls) { + Copy c = clean; + corrupt(c); + const auto bad = check(c); + EXPECT_NE(std::find(bad.begin(), bad.end(), code), bad.end()) << name << ": expected " << code; + } + // Empty graphs are positive controls: all-zero offsets are correct without edges. + for (std::int32_t n : {0, 1, 1000}) { + const Input e {"empty", n}; + EXPECT_TRUE(check_layout(spans_of(build(e)), view(e)).empty()) << n; + } +} + +// manifest 9: hash and fallback boundary at 65,536 distinct costs (the branch observation), on +// inputs that do not exhaust the probe budget. +TEST(GraphLayout, HashAndFallbackBoundaryAt65536DistinctCosts) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + for (const auto& [k, hashed] : std::vector> {{65535, true}, {65536, true}, {65537, false}}) { + const auto in = exact_k(k, 1000, 4096, static_cast(k)); + ASSERT_EQ(distinct(in.cost), k); + auto& counts = detail::thread_construction_counts(); + const auto before = counts; + const Graph g = build(in); + EXPECT_EQ(counts.hashed - before.hashed, hashed ? 1 : 0) << k; + EXPECT_EQ(counts.fallback - before.fallback, hashed ? 0 : 1) << k; + EXPECT_EQ(counts.distinct_limit - before.distinct_limit, hashed ? 0 : 1) << k; + EXPECT_EQ(counts.exhausted_collection - before.exhausted_collection, 0) << k; + EXPECT_EQ(counts.exhausted_growth - before.exhausted_growth, 0) << k; + EXPECT_LE(counts.last_probes, counts.last_budget) << k; + if (hashed) { + EXPECT_EQ(counts.last_distinct, k); + EXPECT_LE(counts.last_table_slots, std::int64_t {1} << 18); // load <= 1/4 at K = 65,536 + EXPECT_GE(counts.last_table_slots, 4 * k); + } + expect_same_as_reference(g, in); + } +#else + GTEST_SKIP() << "branch observations need the private hooks"; +#endif +} + +// Proposal P4: with N K < E the passes run on combined keys; N K = E must take the five single-key +// passes. Both give the reference arrays, in every input order, and the random differential +// inputs reach both branches. +TEST(GraphLayout, CombinedKeyPassesOnlyBelowNTimesKEqualsE) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + auto shaped = [](std::int32_t n, std::int64_t k, std::size_t e, std::uint64_t seed) { + std::mt19937_64 rng(seed); + Input in {"N=" + std::to_string(n) + " K=" + std::to_string(k) + " E=" + std::to_string(e), n}; + for (std::size_t i = 0; i < e; ++i) { + in.src.push_back(static_cast(rng() % static_cast(n))); + in.dst.push_back(static_cast(rng() % static_cast(n))); + in.cap.push_back(static_cast(1 + i)); + const auto j = i < static_cast(k) ? static_cast(i) : static_cast(rng() % static_cast(k)); + in.cost.push_back(3 * j + 1); + } + return in; + }; + for (const auto& [n, k] : std::vector> {{5, 1}, {10, 3}, {400, 2}, {64, 31}}) { + const auto nk = static_cast(n) * static_cast(k); + for (const auto& [e, fused] : std::vector> {{nk + 1, true}, {nk, false}}) { + for (const auto& in : orders(shaped(n, k, e, nk + e), e)) { + ASSERT_EQ(distinct(in.cost), k) << in.name; + auto& counts = detail::thread_construction_counts(); + const auto before = counts.fused; + const Graph g = build(in); + EXPECT_EQ(counts.fused - before, fused ? 1 : 0) << in.name; + expect_same_as_reference(g, in); + } + } + } + std::int64_t fused = 0, plain = 0; + for (std::uint64_t seed = 1; seed <= 200; ++seed) { + const auto in = random_input("seed " + std::to_string(seed), 1 + static_cast(seed % 37), + 1 + seed % 211, 1 + static_cast(seed % 13), seed); + const auto before = detail::thread_construction_counts().fused; + (void)build(in); + (detail::thread_construction_counts().fused > before ? fused : plain) += 1; + } + EXPECT_GT(fused, 0); + EXPECT_GT(plain, 0); +#else + GTEST_SKIP() << "branch observations need the private hooks"; +#endif +} + +// The fallback's 16-bit digits (review-1e-consult/REPORT-2): N = 2, two copies of [1, ..., 65,536, +// 2^59] (K = 65,537, E = 131,074 = N K: the single-key passes; the cost sum is below 2^62), then +// one more cost of 1 (E = N K + 1: P4). Both take the distinct-limit fallback (observed); by the +// costs' values its radix sorts on the digits at 0, 16 and 48 bits and skips the one at 32 (one +// digit value), with arrays equal to the reference in four input orders. +TEST(GraphLayout, RadixFallbackDigitsOnBothSidesOfP4) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + Input base {"two copies of 1..65,536 and 2^59", 2}; + for (int copy = 0; copy < 2; ++copy) { + for (Cost c = 1; c <= 65536; ++c) base.cost.push_back(c); + base.cost.push_back(Cost {1} << 59); + } + Input plus = base; + plus.name += " + one cost 1"; + plus.cost.push_back(1); + for (Input* in : {&base, &plus}) { + for (std::size_t i = 0; i < in->cost.size(); ++i) { + in->src.push_back(static_cast(i % 2)); + in->dst.push_back(static_cast((i / 2) % 2)); + in->cap.push_back(static_cast(1 + i)); + } + } + ASSERT_EQ(base.cost.size(), 131074u); + for (const auto& [x, fused] : std::vector> {{&base, false}, {&plus, true}}) { + ASSERT_EQ(distinct(x->cost), 65537); + for (const auto& in : orders(*x, x->cost.size())) { + auto& counts = detail::thread_construction_counts(); + const auto before = counts; + const Graph g = build(in); + EXPECT_EQ(counts.distinct_limit - before.distinct_limit, 1) << in.name; + EXPECT_EQ(counts.fallback - before.fallback, 1) << in.name; + EXPECT_EQ(counts.fused - before.fused, fused ? 1 : 0) << in.name; + EXPECT_EQ(counts.last_distinct, 65537) << in.name; + expect_same_as_reference(g, in); + } + } +#else + GTEST_SKIP() << "branch observations need the private hooks"; +#endif +} + +// A run of equal costs reuses the previous ordinal without a lookup: one cost repeated costs +// exactly one probe; two alternating costs in different slots cost one probe per edge. +TEST(GraphLayout, RunsOfEqualCostsSkipTheLookup) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + Cost a = 1, b = 2; + while ((detail::cost_hash(a) & 63) == (detail::cost_hash(b) & 63)) ++b; + for (const bool alternate : {false, true}) { + Input in {alternate ? "alternating" : "one run", 9}; + for (int i = 0; i < 1000; ++i) { + in.src.push_back(i % 9); + in.dst.push_back((i * 4) % 9); + in.cap.push_back(i); + in.cost.push_back(alternate && i % 2 == 1 ? b : a); + } + const Graph g = build(in); + EXPECT_EQ(detail::thread_construction_counts().last_probes, alternate ? 1000 : 1) << in.name; + expect_same_as_reference(g, in); + } +#else + GTEST_SKIP() << "branch observations need the private hooks"; +#endif +} + +// The cumulative probe budget B = 8E + 8 x 65,536 (APPROACH 3 revision 43). Costs whose hash has +// 11 low zero bits start at slot 0 in every table up to 2,048 slots, so they form one cluster: +// the j-th of them (from 0) is found after j + 1 probes. After the 64 cluster costs come D +// duplicates alternating z[62], z[63] (a run of one cost reuses its ordinal without a lookup, so +// the duplicates must alternate), each costing 63 or 64 probes while B grows by 8 per edge. The +// boundaries come from an exact model of the probe accounting (build/1e/prep/budget_model.py): +// * collection: exhausted at an input lookup exactly when D >= 9,406; +// * growth: with a 65th cluster cost at the end (its lookup, then the reinsertion into 512 +// slots, then the lookup repeated), exhausted inside the growth for 9,366 <= D <= 9,404, not at +// all for D <= 9,365, and at the 65th cost's first lookup (collection) for D = 9,405. +// Exhausted constructions use exactly B probes and none more; the arrays equal the reference. +TEST(GraphLayout, ProbeBudgetFallbackInCollectionAndGrowth) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + std::vector z; + for (Cost c = 1; z.size() < 65; ++c) { + if ((detail::cost_hash(c) & 2047) == 0) z.push_back(c); + } + auto shape = [&](std::size_t dups, bool tail) { + Input in {"cluster D=" + std::to_string(dups) + (tail ? " + 65th" : ""), 7}; + std::vector c(z.begin(), z.begin() + 64); + for (std::size_t i = 0; i < dups; ++i) c.push_back(z[i % 2 == 0 ? 62 : 63]); + if (tail) c.push_back(z[64]); + for (std::size_t i = 0; i < c.size(); ++i) { + in.src.push_back(static_cast(i % 7)); + in.dst.push_back(static_cast((i * 3) % 7)); + in.cap.push_back(static_cast(i % 11)); + in.cost.push_back(c[i]); + } + return in; + }; + enum Where { None, Collection, Growth }; + const std::vector> cases = { + {9000, false, None}, {9405, false, None}, {9406, false, Collection}, {10000, false, Collection}, + {9300, true, None}, {9365, true, None}, {9366, true, Growth}, {9380, true, Growth}, + {9404, true, Growth}, {9405, true, Collection}, + }; + + for (const auto& [dups, tail, where] : cases) { + const auto in = shape(dups, tail); + auto& counts = detail::thread_construction_counts(); + const auto before = counts; + const Graph g = build(in); + const std::int64_t budget = 8 * static_cast(in.src.size()) + 8 * 65536; + EXPECT_EQ(counts.last_budget, budget) << in.name; + EXPECT_LE(counts.last_probes, budget) << in.name; // no lookup examines more than B in total + EXPECT_EQ(counts.exhausted_collection - before.exhausted_collection, where == Collection ? 1 : 0) << in.name; + EXPECT_EQ(counts.exhausted_growth - before.exhausted_growth, where == Growth ? 1 : 0) << in.name; + EXPECT_EQ(counts.fallback - before.fallback, where == None ? 0 : 1) << in.name; + EXPECT_EQ(counts.hashed - before.hashed, where == None ? 1 : 0) << in.name; + if (where != None) EXPECT_EQ(counts.last_probes, budget) << in.name; + expect_same_as_reference(g, in); + } +#else + GTEST_SKIP() << "branch observations need the private hooks"; +#endif +} + +// The budget stays cumulative across the large table's growths (review-1e): 64 costs share their +// low 18 hash bits, so they collide in every table up to 262,144 slots; further costs grow the +// table to K = 32,769; then the last two colliding costs alternate. An independent count (linear +// probing, every examined slot counted, a growth reinserting the distinct costs in first-appearance +// order) finds the first edge count whose probes exceed B: the collection exhausts the budget +// there, and one edge fewer stays hashed with exactly the counted probes. +TEST(GraphLayout, ProbeBudgetIsCumulativeAcrossTheLargeTableGrowths) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + std::vector z; + for (Cost c = 1; z.size() < 64; ++c) { + if ((detail::cost_hash(c) & 262143) == 0) z.push_back(c); + } + std::vector seq = z; + for (Cost c = 1; seq.size() < 32769; ++c) { + if (!std::binary_search(z.begin(), z.end(), c)) seq.push_back(c); + } + std::vector table(64, 0); + std::vector order; + std::int64_t probes = 0; + auto locate = [&](Cost c) { + for (std::size_t at = detail::cost_hash(c) & (table.size() - 1);; at = (at + 1) & (table.size() - 1)) { + ++probes; + if (table[at] == 0 || table[at] == c) return at; + } + }; + for (const Cost c : seq) { + std::size_t at = locate(c); + if (table[at] != 0) continue; + if (4 * (order.size() + 1) > table.size()) { + table.assign(2 * table.size(), 0); + for (const Cost d : order) table[locate(d)] = d; + at = locate(c); + } + table[at] = c; + order.push_back(c); + } + ASSERT_EQ(order.size(), 32769U); + ASSERT_EQ(table.size(), 262144U); + std::int64_t prefix_probes = 0; // all probes of the longest prefix within its budget + for (std::size_t d = 0;; ++d) { + ASSERT_LT(d, 100000U); + const std::int64_t before = probes; + seq.push_back(z[d % 2 == 0 ? 62 : 63]); + locate(seq.back()); + if (probes > 8 * static_cast(seq.size()) + 8 * 65536) { + prefix_probes = before; + break; + } + } + EXPECT_EQ(seq.size(), 44436U); // the review's independent count (review-1e/probe.log) + + auto input = [&](std::size_t e) { + Input in {"late growth E=" + std::to_string(e), 31}; + for (std::size_t i = 0; i < e; ++i) { + in.src.push_back(static_cast(i % 31)); + in.dst.push_back(static_cast((i * 7) % 31)); + in.cap.push_back(static_cast(i % 13)); + in.cost.push_back(seq[i]); + } + return in; + }; + auto& counts = detail::thread_construction_counts(); + for (const std::size_t e : {seq.size() - 1, seq.size()}) { + const bool exhausts = e == seq.size(); + const auto in = input(e); + const auto before = counts; + const Graph g = build(in); + const std::int64_t budget = 8 * static_cast(e) + 8 * 65536; + EXPECT_EQ(counts.last_budget, budget) << in.name; + EXPECT_EQ(counts.last_probes, exhausts ? budget : prefix_probes) << in.name; + EXPECT_EQ(counts.exhausted_collection - before.exhausted_collection, exhausts ? 1 : 0) << in.name; + EXPECT_EQ(counts.exhausted_growth - before.exhausted_growth, 0) << in.name; + EXPECT_EQ(counts.hashed - before.hashed, exhausts ? 0 : 1) << in.name; + if (!exhausts) EXPECT_EQ(counts.last_distinct, 32769) << in.name; + expect_same_as_reference(g, in); + } +#else + GTEST_SKIP() << "branch observations need the private hooks"; +#endif +} + +// manifest 10: exact units above 2^53 (capacities and costs kept as int64, not through double). +TEST(GraphLayout, ExactUnitsAboveTwo53) { + const Amount big = (Amount{1} << 53) + 1; + const Input in {"2^53 + 1", 2, {0, 0, 1}, {1, 1, 0}, {big, big + 2, 0}, {(Cost{1} << 53) + 1, (Cost{1} << 53) + 3, 1}}; + const Graph g = build(in); + expect_same_as_reference(g, in); + EXPECT_EQ(g.capacity_units()[0], big); + EXPECT_EQ(g.cost()[0], (Cost{1} << 53) + 1); +} + +// manifest 11: a copy keeps every array and the map and draws a new uid. +TEST(GraphLayout, CopyKeepsEveryArrayAndDrawsANewUid) { + for (const auto& in : {exact_k(31, 500, 64, 1), exact_k(65537, 10, 512, 2), Input {"empty", 5}}) { + const Graph g = build(in); + const Graph c(g); + EXPECT_NE(c.uid(), g.uid()); + EXPECT_GT(c.uid(), g.uid()); // a relation, not an absolute counter value + expect_same_as_reference(c, in); + EXPECT_EQ(GraphAccess::retained(c).size_bytes, GraphAccess::retained(g).size_bytes); + } +} + +// The move (P1, review-1e-consult): every value and the uid transferred without allocation +// (the fault executable's witness); the source keeps its resolution, has uid, N, E, maximum and +// GCD zero, empty edge arrays and one zero in each offset view. Copying and moving an already +// moved-from graph give the same state. +TEST(GraphLayout, MoveTransfersEverythingAndLeavesAnEmptyGraph) { + const auto in = exact_k(31, 500, 64, 3); + const double q = std::ldexp(1.0, -12); + Graph g(in.n, in.src, in.dst, in.cap, in.cost, q); + const auto uid = g.uid(); + const Graph m(std::move(g)); + EXPECT_EQ(m.uid(), uid); + EXPECT_EQ(m.resolution(), q); + Input with_q = in; + with_q.q = q; + expect_same_as_reference(m, with_q); + auto expect_moved_from = [&](const Graph& x, const char* what) { + EXPECT_EQ(x.resolution(), q) << what; + EXPECT_EQ(x.num_nodes(), 0) << what; + EXPECT_EQ(x.num_edges(), 0) << what; + EXPECT_EQ(x.max_cost(), 0) << what; + EXPECT_EQ(x.cost_gcd(), 0) << what; + EXPECT_TRUE(x.capacity_units().empty() && x.cost().empty() && x.edge_src().empty() && x.edge_dst().empty() && + x.input_index().empty() && x.in_adj_edge_index().empty() && GraphAccess::in_col_indices(x).empty()) + << what; + EXPECT_EQ(vec(x.row_offsets()), (std::vector {0})) << what; + EXPECT_EQ(vec(x.in_row_offsets()), (std::vector {0})) << what; + EXPECT_TRUE(check_layout(spans_of(x), view(Input {"moved-from", 0})).empty()) << what; + }; + // NOLINTBEGIN(bugprone-use-after-move): the documented moved-from state. + EXPECT_EQ(g.uid(), 0u); + expect_moved_from(g, "source"); + const Graph copied(g); + EXPECT_GT(copied.uid(), uid); // a copy is a new graph, even of an empty one + expect_moved_from(copied, "copy of the source"); // except its uid + Graph again(std::move(g)); + EXPECT_EQ(again.uid(), 0u); + expect_moved_from(again, "moved again"); + expect_moved_from(g, "source moved twice"); + // NOLINTEND(bugprone-use-after-move) +} + +// The retained array payload: 36 E + 8 (N + 1) bytes in exactly nine arrays, capacities equal to +// sizes (no slack, no retained scratch, no inverse map, no physical-capacity array). +TEST(GraphLayout, RetainedPayloadIs36BytesPerEdgePlusOffsets) { + std::vector cases = {Input {"N=0", 0}, Input {"isolated", 1000}, exact_k(31, 4000, 512, 4), + exact_k(65537, 100, 4096, 5)}; + for (const auto& in : cases) { + const Graph g = build(in); + const Graph c(g); + Graph moved_from = build(in); + const Graph m(std::move(moved_from)); + const std::size_t e = in.src.size(); + const std::size_t want = 36 * e + 8 * (static_cast(in.n) + 1); + for (const Graph* x : {&g, &c, &m}) { + const auto r = GraphAccess::retained(*x); + EXPECT_EQ(r.arrays, 9u) << in.name; + EXPECT_EQ(r.size_bytes, want) << in.name; + EXPECT_EQ(r.capacity_bytes, want) << in.name; + } + } +} + +// Manifest 12: graph-bound objects from another graph are rejected at their existing use sites, +// on a twin graph with identical arrays (only the uid differs, so the check is by identity, not by +// shape): the evaluators' Eligibility and DagCache checks, and a Path's DAG (to_dag keeps the +// Path's graph) in resolve_to_paths. The flow core, ledger, policy, KSP, search and cache sites +// have their own tests (NOTES section 7, item 3). +TEST(GraphLayout, ForeignGraphBoundObjectsAreRejectedAtTheirUseSites) { + const std::vector src {0, 0, 1, 2}, dst {1, 2, 3, 3}; + const std::vector cap {5, 5, 5, 5}; + const std::vector cost {1, 1, 1, 1}; + const Graph g(4, src, dst, cap, cost, 1.0), twin(4, src, dst, cap, cost, 1.0); + ASSERT_NE(g.uid(), twin.uid()); + const auto message = [](const std::function& f) { + try { + f(); + } catch (const std::invalid_argument& e) { + return std::string(e.what()); + } + return std::string("no std::invalid_argument"); + }; + const std::vector s {0}, d {3}; + const FlowPolicyConfig cfg {CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossless, + PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)}; + const Eligibility el = twin.eligibility({}, std::vector {0}); + DagCache cache(twin); + const std::string elig_msg = "foreign Eligibility: built for another graph"; + const std::string cache_msg = "foreign DagCache: bound to another graph"; + EXPECT_EQ(message([&] { (void)capacity(g, s, d, CapacityOptions {cfg, &el}); }), elig_msg); + EXPECT_EQ(message([&] { (void)capacity(g, s, d, CapacityOptions {cfg, nullptr, &cache}); }), cache_msg); + const std::vector, std::vector>> pairs {{s, d}}; + EXPECT_EQ(message([&] { (void)batch_capacity(g, pairs, CapacityOptions {cfg, nullptr, &cache}, {}, 1); }), cache_msg); + EXPECT_EQ(message([&] { (void)sensitivity(g, s, d, SensitivityOptions {cfg, &el}, 1); }), elig_msg); + EXPECT_EQ(message([&] { (void)sensitivity(g, s, d, SensitivityOptions {cfg, nullptr, &cache}, 1); }), cache_msg); + const Path p(twin, {{0}, {2}}); + EXPECT_EQ(message([&] { (void)resolve_to_paths(g, p.to_dag(), 0, 3); }), "foreign PredDAG: built for another graph"); + // The same calls on the owning graph succeed (the controls). + EXPECT_NO_THROW((void)capacity(twin, s, d, CapacityOptions {cfg, &el, &cache})); + EXPECT_EQ(resolve_to_paths(twin, p.to_dag(), 0, 3).size(), 1U); +} diff --git a/tests/cpp/graph_reference_1d.hpp b/tests/cpp/graph_reference_1d.hpp new file mode 100644 index 0000000..c506e39 --- /dev/null +++ b/tests/cpp/graph_reference_1d.hpp @@ -0,0 +1,200 @@ +// The 1d graph constructor kept as a test-only reference (task 1e, differential tests). +// +// Origin, pinned: src/graph.cpp of commit 3e1f3ea6e (sha256 c9af7b06c48a741fbac33d40283c50c2 +// 6763dcda7a5e7acf4be0195bf896ab68), the function Graph::Graph(num_nodes, src, dst, +// capacity_units, cost, resolution) at lines 91-222 and resolution_exponent at lines 42-53. +// The statements are copied unchanged; only the members became fields of Reference1d and the +// uid is not drawn. Do not edit this file to follow a later constructor: it is the fixed point +// the new construction is compared with (every array, every error type and message). +#pragma once + +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/types.hpp" + +namespace netgraph::core::test { + +// The 1d graph's state, member for member (graph.hpp at 3e1f3ea6e, without the uid). +struct Reference1d { + double resolution {1.0}; + std::int32_t num_nodes {0}; + Cost max_cost {0}; + Cost cost_gcd {0}; + std::vector capacity; + std::vector cost; + std::vector src; + std::vector dst; + std::vector input_index; + std::vector row_offsets; + std::vector in_row_offsets; + std::vector in_adj_edge_index; +}; + +namespace reference_1d_detail { + +inline int resolution_exponent(double q) { + if (!std::isfinite(q) || q <= 0.0) { + throw std::invalid_argument("resolution must be a power of two in [2^-32, 2^32]"); + } + int exp = 0; + const double mantissa = std::frexp(q, &exp); // q = mantissa * 2^exp, mantissa in [0.5, 1) + const int k = exp - 1; + if (mantissa != 0.5 || k < -32 || k > 32) { + throw std::invalid_argument("resolution must be a power of two in [2^-32, 2^32]"); + } + return k; +} + +} // namespace reference_1d_detail + +inline Reference1d reference_1d(std::int32_t num_nodes, + std::span src, + std::span dst, + std::span capacity_units, + std::span cost, + double resolution) { + Reference1d r; + (void)reference_1d_detail::resolution_exponent(resolution); + // The unit values. + for (std::size_t i = 0; i < capacity_units.size(); ++i) { + const Amount c = capacity_units[i]; + if (c < 0 || c >= kDomainLimit) { + throw std::invalid_argument("capacity_units[" + std::to_string(i) + "] = " + std::to_string(c) + + " is outside the units domain [0, 2^62)"); + } + } + // The array shapes. + if (num_nodes < 0) { + throw std::invalid_argument("num_nodes must be >= 0 (got " + std::to_string(num_nodes) + ")"); + } + const std::size_t m = src.size(); + if (dst.size() != m || capacity_units.size() != m || cost.size() != m) { + throw std::invalid_argument("src, dst, capacity_units and cost must have the same length (got " + + std::to_string(src.size()) + ", " + std::to_string(dst.size()) + ", " + + std::to_string(capacity_units.size()) + ", " + + std::to_string(cost.size()) + ")"); + } + if (m > static_cast(std::numeric_limits::max())) { + throw std::invalid_argument("the number of edges exceeds INT32_MAX (array length)"); + } + // Zero or negative costs (rule 28). + Cost max_cost = 0; + Cost cost_gcd = 0; + for (std::size_t i = 0; i < m; ++i) { + if (cost[i] < 1) { + throw std::invalid_argument("cost[" + std::to_string(i) + "] = " + std::to_string(cost[i]) + + ": costs must be positive (cost >= 1)"); + } + max_cost = std::max(max_cost, cost[i]); + // A running GCD of 1 stays 1 (gcd(1, c) = 1): the remaining edges are only checked. + if (cost_gcd != 1) cost_gcd = std::gcd(cost_gcd, cost[i]); + } + // The remaining bounds. + for (std::size_t i = 0; i < m; ++i) { + if (src[i] < 0 || src[i] >= num_nodes || dst[i] < 0 || dst[i] >= num_nodes) { + throw std::invalid_argument("edge " + std::to_string(i) + ": endpoint (" + std::to_string(src[i]) + + ", " + std::to_string(dst[i]) + ") out of node range [0, " + + std::to_string(num_nodes) + ")"); + } + } + constexpr auto kLimit = static_cast(kDomainLimit); + std::uint64_t cap_sum = 0; + std::uint64_t cost_sum = 0; + for (std::size_t i = 0; i < m; ++i) { + cap_sum += static_cast(capacity_units[i]); // each < 2^62: no wrap before the check + if (cap_sum >= kLimit) { + throw std::invalid_argument("the sum of all capacities reaches the bound of the units domain (2^62 units)"); + } + cost_sum += static_cast(cost[i]); + if (cost_sum >= kLimit) { + throw std::invalid_argument( + "the sum of all edge costs reaches the bound 2^62: path costs would overflow int64"); + } + } + + r.resolution = resolution; + r.num_nodes = num_nodes; + r.max_cost = max_cost; + r.cost_gcd = cost_gcd; + const auto n = static_cast(num_nodes); + + // Ids: rank in (src, cost, dst, input). + r.row_offsets.assign(n + 1, 0); + for (std::size_t i = 0; i < m; ++i) ++r.row_offsets[static_cast(src[i]) + 1]; + for (std::size_t u = 0; u < n; ++u) r.row_offsets[u + 1] += r.row_offsets[u]; + r.input_index.resize(m); + { + std::vector cursor(r.row_offsets.begin(), r.row_offsets.end() - 1); + for (std::size_t i = 0; i < m; ++i) { + r.input_index[static_cast(cursor[static_cast(src[i])]++)] = + static_cast(i); + } + } + for (std::size_t u = 0; u < n; ++u) { + auto first = r.input_index.begin() + r.row_offsets[u]; + auto last = r.input_index.begin() + r.row_offsets[u + 1]; + if (last - first < 2) continue; + std::sort(first, last, [&](std::int32_t a, std::int32_t b) { + const auto ia = static_cast(a); + const auto ib = static_cast(b); + if (cost[ia] != cost[ib]) return cost[ia] < cost[ib]; + if (dst[ia] != dst[ib]) return dst[ia] < dst[ib]; + return a < b; + }); + } + r.capacity.resize(m); + r.cost.resize(m); + r.src.resize(m); + r.dst.resize(m); + for (std::size_t e = 0; e < m; ++e) { + const auto i = static_cast(r.input_index[e]); + r.capacity[e] = capacity_units[i]; + r.cost[e] = cost[i]; + r.src[e] = src[i]; + r.dst[e] = dst[i]; + } + + // Reverse CSR in (cost, src, input) order. + r.in_row_offsets.assign(n + 1, 0); + for (std::size_t e = 0; e < m; ++e) ++r.in_row_offsets[static_cast(r.dst[e]) + 1]; + for (std::size_t v = 0; v < n; ++v) r.in_row_offsets[v + 1] += r.in_row_offsets[v]; + r.in_adj_edge_index.resize(m); + { + std::vector cursor(r.in_row_offsets.begin(), r.in_row_offsets.end() - 1); + for (std::size_t e = 0; e < m; ++e) { + r.in_adj_edge_index[static_cast(cursor[static_cast(r.dst[e])]++)] = + static_cast(e); + } + } + for (std::size_t v = 0; v < n; ++v) { + auto first = r.in_adj_edge_index.begin() + r.in_row_offsets[v]; + auto last = r.in_adj_edge_index.begin() + r.in_row_offsets[v + 1]; + if (last - first < 2) continue; + std::sort(first, last, [&](EdgeId a, EdgeId b) { + const auto ia = static_cast(a); + const auto ib = static_cast(b); + if (r.cost[ia] != r.cost[ib]) return r.cost[ia] < r.cost[ib]; + if (r.src[ia] != r.src[ib]) return r.src[ia] < r.src[ib]; + return a < b; + }); + } + return r; +} + +// The internal reverse-source column the 1e graph stores, derived from the reference (1d has no +// stored copy): edge_src[in_adj_edge_index[slot]]. +inline std::vector reference_in_col_indices(const Reference1d& r) { + std::vector out(r.in_adj_edge_index.size()); + for (std::size_t s = 0; s < out.size(); ++s) out[s] = r.src[static_cast(r.in_adj_edge_index[s])]; + return out; +} + +} // namespace netgraph::core::test diff --git a/tests/cpp/layout_checker.hpp b/tests/cpp/layout_checker.hpp new file mode 100644 index 0000000..6a56e55 --- /dev/null +++ b/tests/cpp/layout_checker.hpp @@ -0,0 +1,221 @@ +// An independent checker of the graph's stored layout (APPROACH 3, layout B'; task 1e). +// +// It reads the arrays as spans and the caller's input separately, and derives every expectation +// from the contract's text, never from the constructor's helpers: +// 1. sizes first, before any element is read: N >= 0, E >= 0, the input arrays of length E, +// every per-edge array and the input map of length E, both offset arrays of length N + 1, +// the reverse slots of length E, the internal reverse-source copy of length E when present; +// 2. then ranges, before any value is used as an index: offsets in [0, E], [0] = 0, [N] = E, +// non-decreasing; endpoints in [0, N); the map and the slots in [0, E) and permutations; +// the copied sources in [0, N); +// 3. then the order: the ids of row u have source u and strictly increasing (cost, dst, input); +// the slots of v hold edges with destination v in strictly increasing (cost, src, input); +// each copied source equals edge_src[in_adj_edge_index[slot]]; every property is the input +// array permuted by the map; max_cost and cost_gcd are the full scans (0 without edges). +// A failing step stops the check (later steps would read through unchecked values). The result +// is the list of defect codes of the failing step, empty when the layout is correct. +#pragma once + +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/types.hpp" + +namespace netgraph::core::test { + +// The caller's input, in input coordinates. +struct LayoutInput { + std::int64_t num_nodes {0}; + std::span src {}; + std::span dst {}; + std::span capacity {}; + std::span cost {}; +}; + +// What a graph stores (or claims to store). +struct LayoutSpans { + std::int64_t num_nodes {0}; + std::int64_t num_edges {0}; + std::span capacity {}; + std::span cost {}; + std::span src {}; + std::span dst {}; + std::span input_index {}; + std::span row_offsets {}; + std::span in_row_offsets {}; + std::span in_adj_edge_index {}; + std::optional> in_col_indices {}; // the internal copy, when stored + Cost max_cost {0}; + Cost cost_gcd {0}; +}; + +namespace layout_checker_detail { + +inline void offsets_ok(std::span off, std::int64_t n, std::int64_t m, const char* name, + std::vector& bad) { + bool range = true; + bool monotone = true; + for (std::size_t k = 0; k < off.size(); ++k) { + if (off[k] < 0 || off[k] > m) range = false; + if (k > 0 && off[k] < off[k - 1]) monotone = false; + } + if (!range) bad.push_back(std::string(name) + ":range"); + if (off[0] != 0) bad.push_back(std::string(name) + ":start"); + if (off[static_cast(n)] != m) bad.push_back(std::string(name) + ":end"); + if (!monotone) bad.push_back(std::string(name) + ":monotone"); +} + +template +bool permutation_of_range(std::span a, std::int64_t m) { + std::vector seen(static_cast(m), 0); + for (const T x : a) { + if (x < 0 || x >= m) return false; + if (seen[static_cast(x)] != 0) return false; + seen[static_cast(x)] = 1; + } + return true; +} + +} // namespace layout_checker_detail + +inline std::vector check_layout(const LayoutSpans& g, const LayoutInput& in) { + using namespace layout_checker_detail; + std::vector bad; + const std::int64_t n = g.num_nodes; + const std::int64_t m = g.num_edges; + // 1. Sizes (no element is read). + if (n < 0 || n != in.num_nodes) bad.emplace_back("size:num_nodes"); + if (m < 0 || static_cast(m) != in.src.size()) bad.emplace_back("size:num_edges"); + if (!bad.empty()) return bad; + const auto me = static_cast(m); + const auto np1 = static_cast(n) + 1; + auto size_is = [&](std::size_t got, std::size_t want, const char* name) { + if (got != want) bad.emplace_back(std::string("size:") + name); + }; + size_is(in.dst.size(), me, "input.dst"); + size_is(in.capacity.size(), me, "input.capacity"); + size_is(in.cost.size(), me, "input.cost"); + size_is(g.capacity.size(), me, "capacity"); + size_is(g.cost.size(), me, "cost"); + size_is(g.src.size(), me, "src"); + size_is(g.dst.size(), me, "dst"); + size_is(g.input_index.size(), me, "input_index"); + size_is(g.row_offsets.size(), np1, "row_offsets"); + size_is(g.in_row_offsets.size(), np1, "in_row_offsets"); + size_is(g.in_adj_edge_index.size(), me, "in_adj_edge_index"); + if (g.in_col_indices.has_value()) size_is(g.in_col_indices->size(), me, "in_col_indices"); + if (!bad.empty()) return bad; + + // 2. Ranges and permutations (values are read, none is used as an index yet). + offsets_ok(g.row_offsets, n, m, "row_offsets", bad); + offsets_ok(g.in_row_offsets, n, m, "in_row_offsets", bad); + for (std::size_t e = 0; e < me; ++e) { + if (g.src[e] < 0 || g.src[e] >= n) { + bad.emplace_back("range:src"); + break; + } + } + for (std::size_t e = 0; e < me; ++e) { + if (g.dst[e] < 0 || g.dst[e] >= n) { + bad.emplace_back("range:dst"); + break; + } + } + if (!permutation_of_range(g.input_index, m)) bad.emplace_back("map:permutation"); + if (!permutation_of_range(g.in_adj_edge_index, m)) bad.emplace_back("slot:permutation"); + if (g.in_col_indices.has_value()) { + for (const NodeId x : *g.in_col_indices) { + if (x < 0 || x >= n) { + bad.emplace_back("range:in_col_indices"); + break; + } + } + } + if (!bad.empty()) return bad; + + // 3. Properties, order, the copy, the scans. + for (std::size_t e = 0; e < me; ++e) { + const auto i = static_cast(g.input_index[e]); + if (g.capacity[e] != in.capacity[i]) { + bad.emplace_back("property:capacity"); + break; + } + } + for (std::size_t e = 0; e < me; ++e) { + if (g.cost[e] != in.cost[static_cast(g.input_index[e])]) { + bad.emplace_back("property:cost"); + break; + } + } + for (std::size_t e = 0; e < me; ++e) { + if (g.src[e] != in.src[static_cast(g.input_index[e])]) { + bad.emplace_back("property:src"); + break; + } + } + for (std::size_t e = 0; e < me; ++e) { + if (g.dst[e] != in.dst[static_cast(g.input_index[e])]) { + bad.emplace_back("property:dst"); + break; + } + } + // Forward rows: the ids of row u, in (cost, dst, input) strictly increasing, source u. + bool fwd_member = true; + bool fwd_order = true; + for (std::size_t u = 0; u + 1 < np1; ++u) { + for (auto e = static_cast(g.row_offsets[u]); e < static_cast(g.row_offsets[u + 1]); ++e) { + if (g.src[e] != static_cast(u)) fwd_member = false; + if (e > static_cast(g.row_offsets[u]) && + !(std::tuple(g.cost[e - 1], g.dst[e - 1], g.input_index[e - 1]) < + std::tuple(g.cost[e], g.dst[e], g.input_index[e]))) { + fwd_order = false; + } + } + } + if (!fwd_member) bad.emplace_back("forward:membership"); + if (!fwd_order) bad.emplace_back("forward:order"); + // Reverse rows: the slots of v, edges with destination v in (cost, src, input) strictly increasing. + bool rev_member = true; + bool rev_order = true; + for (std::size_t v = 0; v + 1 < np1; ++v) { + const auto lo = static_cast(g.in_row_offsets[v]); + const auto hi = static_cast(g.in_row_offsets[v + 1]); + for (std::size_t s = lo; s < hi; ++s) { + const auto e = static_cast(g.in_adj_edge_index[s]); + if (g.dst[e] != static_cast(v)) rev_member = false; + if (s > lo) { + const auto p = static_cast(g.in_adj_edge_index[s - 1]); + if (!(std::tuple(g.cost[p], g.src[p], g.input_index[p]) < std::tuple(g.cost[e], g.src[e], g.input_index[e]))) { + rev_order = false; + } + } + } + } + if (!rev_member) bad.emplace_back("reverse:membership"); + if (!rev_order) bad.emplace_back("reverse:order"); + if (g.in_col_indices.has_value()) { + for (std::size_t s = 0; s < me; ++s) { + if ((*g.in_col_indices)[s] != g.src[static_cast(g.in_adj_edge_index[s])]) { + bad.emplace_back("copy:source"); + break; + } + } + } + // The scans, from the input (0 on an empty graph). + Cost mx = 0; + Cost gcd = 0; + for (const Cost c : in.cost) { + mx = c > mx ? c : mx; + gcd = std::gcd(gcd, c); + } + if (g.max_cost != mx) bad.emplace_back("scan:max_cost"); + if (g.cost_gcd != gcd) bad.emplace_back("scan:cost_gcd"); + return bad; +} + +} // namespace netgraph::core::test diff --git a/tests/py/test_graph.py b/tests/py/test_graph.py index 19826b9..faf9864 100644 --- a/tests/py/test_graph.py +++ b/tests/py/test_graph.py @@ -4,6 +4,7 @@ from __future__ import annotations import gc +import weakref import numpy as np import pytest @@ -352,3 +353,108 @@ def test_shape_step_keeps_its_place_in_the_order(): 2, np.array([0]), np.array([1], dtype=np.uint8), np.array([7]), (3,), 1.0 ) assert g.capacity_units().tolist() == [7] + + +def test_repeated_views_share_storage_and_refuse_write_access(): + g = build(3, EDGES) + for name in ( + "capacity_units", + "cost", + "edge_src", + "edge_dst", + "input_index", + "row_offsets", + "in_row_offsets", + "in_adj_edge_index", + ): + a, b = getattr(g, name)(), getattr(g, name)() + assert np.shares_memory(a, b), name + with pytest.raises(ValueError): + a.setflags(write=True) + assert not a.flags.writeable + + +VIEW_DTYPES = { + "capacity_units": np.int64, + "cost": np.int64, + "edge_src": np.int32, + "edge_dst": np.int32, + "input_index": np.int32, + "row_offsets": np.int32, + "in_row_offsets": np.int32, + "in_adj_edge_index": np.int32, +} + + +@pytest.mark.parametrize( + ("n", "edges"), + [(0, []), (100, []), (3, EDGES)], + ids=["empty", "isolated", "nonempty"], +) +def test_every_view_keeps_its_graph_alive_and_refuses_write_access(n, edges): + # An empty view has no bytes to share, so the owner is checked by identity and a weak + # reference rather than by np.shares_memory. + for name, dtype in VIEW_DTYPES.items(): + g = build(n, edges) + ref = weakref.ref(g) + view = getattr(g, name)() + assert view.base is g, name + assert view.dtype == dtype, name + assert not view.flags.writeable, name + with pytest.raises(ValueError): + view[...] = 0 + with pytest.raises(ValueError): + view.setflags(write=True) + del g + gc.collect() + assert ref() is not None, name + del view + gc.collect() + assert ref() is None, name + + +def _reference_layout(n, src, dst, cap, cost): + # B' ids: (src, cost, dst, input); the reverse slots: (dst, cost, src, input). + i = np.arange(len(src)) + order = np.lexsort((i, dst, cost, src)) + pos = np.empty_like(order) + pos[order] = np.arange(len(order)) + rev = pos[np.lexsort((i, src, cost, dst))] + return order, np.searchsorted(src[order], np.arange(n + 1)), rev + + +@pytest.mark.parametrize( + "shape", + ["hash", "combined_keys", "all_cost_sort", "reversed", "edgeless"], +) +def test_construction_orders_match_a_reference(shape): + # One input per construction path of APPROACH 3: distinct-cost hashing, the combined-key + # passes (N * K < E), the all-cost sort (K > 65,536), a reversed B' order, no edges. + rng = np.random.default_rng(7) + n, e = 300, 1000 # N * K = 1500 > E: the separate passes + if shape == "combined_keys": + n, e = 20, 4000 # N * K = 100 < E + if shape == "edgeless": + e = 0 + src = rng.integers(0, n, e) + dst = rng.integers(0, n, e) + cost = rng.integers(1, 6, e) + if shape == "all_cost_sort": + e = 70000 + src, dst = rng.integers(0, n, e), rng.integers(0, n, e) + cost = rng.permutation(np.arange(1, e + 1)) + cap = rng.integers(0, 1 << 40, e) + if shape == "reversed": + order, _, _ = _reference_layout(n, src, dst, cap, cost) + src, dst, cap, cost = (a[order[::-1]] for a in (src, dst, cap, cost)) + g = ngc.Graph(n, src, dst, cap, cost, 1) + order, row, rev = _reference_layout(n, src, dst, cap, cost) + assert g.input_index().tolist() == order.tolist() + assert g.row_offsets().tolist() == row.tolist() + assert g.in_adj_edge_index().tolist() == rev.tolist() + assert ( + g.in_row_offsets().tolist() + == np.searchsorted(np.sort(dst), np.arange(n + 1)).tolist() + ) + assert g.capacity_units().tolist() == cap[order].tolist() + assert g.max_cost() == (int(cost.max()) if e else 0) From 16e51007fdd2c63474d3bcf5ac4c78dad6ea1094 Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Sun, 11 Oct 2026 22:25:31 -0700 Subject: [PATCH 09/39] Cleanup: the rebuilt Core made coherent, documented and tested The bindings are split by subject, the type stub is generated from the module and checked, and docs/semantics.md states the API's rules, each with a test. A double free when a result object could not be wrapped is fixed, and inputs too large for the flow core are now refused. Dead code and the old research and timing material are gone. Results match accepted 1e with the private hooks on and off; only the field that names the producing build differs. Co-Authored-By: Claude Opus 5.5 --- .coveragerc | 2 - .github/ci-constraints.txt | 78 + .github/workflows/release.yml | 77 +- .github/workflows/tests.yml | 92 +- .gitignore | 231 +- .pre-commit-config.yaml | 18 +- AGENTS.md | 17 +- CHANGELOG.md | 107 +- CMakeLists.txt | 338 +-- CONTRIBUTING.md | 45 +- Makefile | 112 +- README.md | 202 +- bindings/python/axes.cpp | 89 + bindings/python/dag_cache.cpp | 60 + bindings/python/eligibility.cpp | 54 + bindings/python/evaluators.cpp | 241 ++ bindings/python/flow_ledger.cpp | 103 + bindings/python/flow_policy.cpp | 190 ++ bindings/python/flow_record.cpp | 73 + bindings/python/graph.cpp | 216 ++ bindings/python/hooks.cpp | 217 ++ bindings/python/integers.hpp | 232 ++ bindings/python/module.cpp | 2192 +---------------- bindings/python/path.cpp | 78 + bindings/python/paths.cpp | 183 ++ bindings/python/placement_result.cpp | 107 + bindings/python/policy_config.cpp | 68 + bindings/python/pred_dag.cpp | 127 + bindings/python/publication.hpp | 89 + bindings/python/recorder.cpp | 109 + bindings/python/registration.hpp | 40 + bindings/python/routing.cpp | 231 ++ bindings/python/search.cpp | 182 ++ bindings/python/trace.hpp | 54 + bindings/python/units.cpp | 108 + bindings/python/values.hpp | 111 + dev/coverage_summary.py | 136 +- dev/cpp-tests.sh | 110 +- dev/perf/README.md | 21 - dev/perf/spf_queue/PLAN.md | 581 ----- dev/perf/spf_queue/README.md | 73 - dev/perf/spf_queue/bench_netgraph.py | 393 --- dev/perf/spf_queue/bitgate/dump.cpp | 157 -- dev/perf/spf_queue/bitgate/sha256.txt | 3 - dev/perf/spf_queue/bitgate/status.txt | 1 - dev/perf/spf_queue/build.sh | 31 - dev/perf/spf_queue/harness.cpp | 388 --- .../spf_queue/results/core/environment.txt | 5 - dev/perf/spf_queue/results/core/load.txt | 5 - .../spf_queue/results/core/sweep-a1-old.csv | 7 - .../spf_queue/results/core/sweep-a2-old.csv | 7 - .../results/core/sweep-b-new-heap.csv | 7 - .../spf_queue/results/core/sweep-b-new.csv | 7 - .../spf_queue/results/core/time-a1-old.csv 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mode 100644 tests/reference/policy/p2_transaction/policy.py create mode 100644 tests/reference/policy/p2_transaction/recorder.py create mode 100644 tests/reference/policy/p2_transaction/run_fixtures.py create mode 100644 tests/typing/invalid_client.py create mode 100644 tests/typing/valid_client.py create mode 100644 third_party/pybind11/LICENSE diff --git a/.coveragerc b/.coveragerc index e312baf..4aaecbe 100644 --- a/.coveragerc +++ b/.coveragerc @@ -3,8 +3,6 @@ branch = True data_file = build/coverage/.coverage source = netgraph_core -omit = - python/netgraph_core/_docs.py [report] show_missing = True diff --git a/.github/ci-constraints.txt b/.github/ci-constraints.txt new file mode 100644 index 0000000..d0991f1 --- /dev/null +++ b/.github/ci-constraints.txt @@ -0,0 +1,78 @@ +# Exact versions for CI's Python environments and for the coverage venv of `make cov`, so a new +# release of a tool cannot change a CI result without a change in this repository: the accepted +# development environment's versions, and for what only Linux, Windows or Python 3.11 installs, +# the version a resolver chose for those platforms (its marker says where it applies). pip itself +# is one of them: a job installs this pip (`pip install -U -c` this file, which also downgrades a +# newer one) before anything else. They reach a build environment only through the mechanism of +# the tool that fills it: pip's own isolated build takes --build-constraint or +# PIP_BUILD_CONSTRAINT (since pip 26.2 never -c or PIP_CONSTRAINT), `python -m build` takes +# PIP_CONSTRAINT, and its uv installer (the release wheels) UV_CONSTRAINT. NumPy 2.5 needs Python +# 3.12; Python 3.11 gets the last NumPy that supports it. Update deliberately. +build==1.5.0 +certifi==2026.7.22 +cfgv==3.5.0 +charset-normalizer==3.5.1 +cmake==4.4.2 +colorlog==6.12.0 +coverage==7.15.4 +distlib==0.4.3 +docutils==0.23 +filelock==3.32.3 +gcovr==8.6 +id==1.6.1 +identify==2.6.19 +idna==3.19 +iniconfig==2.3.0 +jaraco.classes==3.4.0 +jaraco.context==6.1.2 +jaraco.functools==4.6.0 +Jinja2==3.1.6 +keyring==25.7.0 +lxml==6.1.2 +markdown-it-py==4.2.0 +MarkupSafe==3.0.3 +mdurl==0.1.2 +more-itertools==11.1.0 +nh3==0.3.6 +ninja==1.13.0 +nodeenv==1.10.0 +packaging==26.3 +pathspec==1.1.1 +pip==26.2.1 +platformdirs==4.11.3 +pluggy==1.6.0 +pre_commit==4.6.2 +pybind11==3.1.0 +pybind11-stubgen==3.0.0 +Pygments==2.21.0 +pyproject_hooks==1.2.0 +pyright==1.1.401 +pytest==9.1.1 +pytest-cov==7.1.0 +python-discovery==1.5.2 +PyYAML==6.0.3 +readme_renderer==45.0 +requests==2.34.2 +requests-toolbelt==1.0.0 +rfc3986==2.0.0 +rich==15.0.0 +ruff==0.11.13 +scikit_build_core==1.0.3 +setuptools==84.0.0 +twine==7.0.0 +typing_extensions==4.16.0 +urllib3==2.7.0 +virtualenv==21.7.4 +wheel==0.48.0 +numpy==2.5.2; python_version >= "3.12" +numpy==2.4.4; python_version < "3.12" +backports.tarfile==1.2.0; python_version < "3.12" +importlib_metadata==9.0.1; python_version < "3.12" +zipp==4.1.1; python_version < "3.12" +cffi==2.1.1; sys_platform == "linux" +cryptography==50.0.2; sys_platform == "linux" +jeepney==0.9.0; sys_platform == "linux" +pycparser==3.11; sys_platform == "linux" +SecretStorage==3.5.0; sys_platform == "linux" +colorama==0.4.6; sys_platform == "win32" +pywin32-ctypes==0.2.3; sys_platform == "win32" diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index 85d5023..04fe87b 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -48,8 +48,11 @@ jobs: steps: - uses: actions/checkout@v4 - # Install uv for faster dependency installation (required on macOS, bundled in manylinux) + # Install uv for faster dependency installation (required on macOS, bundled in manylinux). + # An exact version, like the Python tools of .github/ci-constraints.txt. - uses: astral-sh/setup-uv@v4 + with: + version: "0.11.16" # Build wheels using cibuildwheel - name: Build wheels @@ -62,10 +65,26 @@ jobs: # Use uv for faster dependency installation (10-100x faster than pip) CIBW_BUILD_FRONTEND: "build[uv]" + # The pins of .github/ci-constraints.txt for what uv installs without constraints of + # cibuildwheel's own: the build requirements of every wheel (scikit-build-core and its + # dependencies; pybind11 is pinned in pyproject.toml) and the test requirements. uv + # reads UV_CONSTRAINT only when a call passes no -c, so cibuildwheel's own tools keep + # its pins. Linux builds in a container that holds the project at /project. + CIBW_ENVIRONMENT_LINUX: "UV_CONSTRAINT=/project/.github/ci-constraints.txt" + CIBW_ENVIRONMENT_MACOS: UV_CONSTRAINT="$GITHUB_WORKSPACE/.github/ci-constraints.txt" + CIBW_ENVIRONMENT_WINDOWS: UV_CONSTRAINT="$GITHUB_WORKSPACE/.github/ci-constraints.txt" # Target architecture per matrix entry (native compilation, no QEMU) CIBW_ARCHS: "${{ matrix.cibw_archs }}" - CIBW_TEST_COMMAND: 'python -c "import netgraph_core; print(netgraph_core.__version__)"' + # The Python suite on every built wheel (the shipped configuration, hooks off; the + # free-threaded cp314t wheels included): exactly the tests that need a hook skip. + # Windows runs pytest without dev/run-checks.sh, after the same check of the hook + # setting: the wheel lacks the private hooks. + CIBW_TEST_REQUIRES: "pytest==9.1.1" + CIBW_TEST_COMMAND: "PYTHON=python bash {project}/dev/run-checks.sh pytest off -p no:cacheprovider" + CIBW_TEST_COMMAND_WINDOWS: >- + python -c "import sys, _netgraph_core as m; sys.exit('the wheel carries the private hooks' if hasattr(m, '_max_flows_per_call') else 0)" + && python -m pytest {project}/tests/py -p no:cacheprovider CIBW_BEFORE_ALL_LINUX: "yum install -y libatomic || (apt-get update && apt-get install -y libatomic1) || apk add libatomic" - uses: actions/upload-artifact@v4 @@ -73,20 +92,59 @@ jobs: name: cibw-wheels-${{ matrix.os }}-${{ matrix.cibw_archs }} path: ./wheelhouse/*.whl + # build fills its isolated environment with a plain pip install, which PIP_CONSTRAINT reaches; + # the same variable pins pip itself and build. build_sdist: name: Build SDist runs-on: ubuntu-latest + env: + PIP_CONSTRAINT: ${{ github.workspace }}/.github/ci-constraints.txt steps: - uses: actions/checkout@v4 + - uses: actions/setup-python@v5 + with: + python-version: "3.12" - name: Build SDist - run: pipx run build --sdist + run: | + python -m pip install -U pip + python -m pip install build + python -m build --sdist - uses: actions/upload-artifact@v4 with: name: cibw-sdist path: dist/*.tar.gz + # An installation built from the source distribution, tested with the Python suite of the same + # commit. pip builds it in an isolated environment of its own, which since pip 26.2 takes only + # build constraints (PIP_BUILD_CONSTRAINT), never PIP_CONSTRAINT: both name the same file. + # PIP_CONSTRAINT pins the venv's pip itself and pytest. + test_sdist: + name: Test an installation built from the SDist + needs: [build_sdist] + runs-on: ubuntu-22.04 + steps: + - uses: actions/checkout@v4 + - uses: actions/setup-python@v5 + with: + python-version: "3.12" + - uses: actions/download-artifact@v4 + with: + name: cibw-sdist + path: sdist + - name: Build and install from the SDist + env: + PIP_CONSTRAINT: ${{ github.workspace }}/.github/ci-constraints.txt + PIP_BUILD_CONSTRAINT: ${{ github.workspace }}/.github/ci-constraints.txt + run: | + python -m venv "$RUNNER_TEMP/sdist-venv" + "$RUNNER_TEMP/sdist-venv/bin/python" -m pip install -U pip + "$RUNNER_TEMP/sdist-venv/bin/python" -m pip install pytest + "$RUNNER_TEMP/sdist-venv/bin/python" -m pip install -v sdist/*.tar.gz + - name: Python tests against the installation + run: PYTHON="$RUNNER_TEMP/sdist-venv/bin/python" bash dev/run-checks.sh pytest off -p no:cacheprovider + test_wheels_centos_stream_9: name: Test wheels (CentOS Stream 9, py${{ matrix.python-version }}) needs: [build_wheels] @@ -100,6 +158,8 @@ jobs: - name: Install Python run: dnf install -y python${{ matrix.python-version }} python${{ matrix.python-version }}-pip + - uses: actions/checkout@v4 + - uses: actions/download-artifact@v4 with: pattern: cibw-wheels-ubuntu-* @@ -108,13 +168,16 @@ jobs: - name: Install and test wheel run: | - python${{ matrix.python-version }} -m pip install --upgrade pip - python${{ matrix.python-version }} -m pip install netgraph-core --find-links wheelhouse/ - python${{ matrix.python-version }} -c "import netgraph_core; print('CentOS Stream 9:', netgraph_core.__version__)" + python${{ matrix.python-version }} -m venv /tmp/wheel-venv + /tmp/wheel-venv/bin/python -m pip install --upgrade -c .github/ci-constraints.txt pip + /tmp/wheel-venv/bin/python -m pip install -c .github/ci-constraints.txt pytest numpy + # --no-index: the wheel built above, never a published one of the same version. + /tmp/wheel-venv/bin/python -m pip install --no-index --find-links wheelhouse/ netgraph-core + PYTHON=/tmp/wheel-venv/bin/python bash dev/run-checks.sh pytest off -p no:cacheprovider publish_pypi: name: Publish to PyPI - needs: [check_version, build_wheels, build_sdist, test_wheels_centos_stream_9] + needs: [check_version, build_wheels, build_sdist, test_sdist, test_wheels_centos_stream_9] runs-on: ubuntu-latest environment: pypi permissions: diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index ba61abb..21b70c1 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -6,6 +6,10 @@ on: pull_request: workflow_dispatch: +# Every job installs its Python tools with the pins of .github/ci-constraints.txt, pip itself +# first. An editable install builds the package in an isolated environment of pip's own, which +# since pip 26.2 takes only build constraints (--build-constraint), never -c: both name the same +# file. jobs: test: name: Unit tests (${{ matrix.os }}, py${{ matrix.python-version }}) @@ -15,18 +19,30 @@ jobs: matrix: os: [ubuntu-22.04, macos-latest, windows-latest] python-version: ["3.11", "3.12", "3.13", "3.14"] + include: + # Free-threaded CPython (no GIL): the module declares py::mod_gil_not_used(). + - os: ubuntu-22.04 + python-version: "3.14t" steps: - uses: actions/checkout@v4 - uses: actions/setup-python@v5 with: python-version: ${{ matrix.python-version }} + # bash on every OS: PowerShell would not stop when the first command fails. - name: Install deps + shell: bash run: | - python -m pip install -U pip wheel - python -m pip install -e .[dev] - - name: Run CI checks (lint + C++/Python tests) + python -m pip install -U -c .github/ci-constraints.txt pip + python -m pip install -c .github/ci-constraints.txt --build-constraint .github/ci-constraints.txt -e ".[dev]" + - name: Run CI checks (lint + C++ tests with and without the hooks + Python tests) if: runner.os != 'Windows' run: make check-ci + # Windows runs pytest without dev/run-checks.sh, so this step checks the hook setting that + # script would: the editable build carries the private hooks (no test then skips). A step of + # its own: PowerShell does not stop at a failing command inside one step. + - name: Check the editable build carries the private hooks (Windows) + if: runner.os == 'Windows' + run: python -c "import sys, _netgraph_core as m; sys.exit(0 if hasattr(m, '_max_flows_per_call') else 'the editable build lacks the private hooks')" - name: Run Python tests (Windows) if: runner.os == 'Windows' run: python -m pytest tests/py/ -v @@ -53,12 +69,71 @@ jobs: - name: Install Python deps run: | - python${{ matrix.python-version }} -m pip install -U pip wheel - python${{ matrix.python-version }} -m pip install -e .[dev] + python${{ matrix.python-version }} -m pip install -U -c .github/ci-constraints.txt pip + python${{ matrix.python-version }} -m pip install -c .github/ci-constraints.txt \ + --build-constraint .github/ci-constraints.txt -e ".[dev]" - - name: Run CI checks (lint + C++/Python tests) + - name: Run CI checks (lint + C++ tests with and without the hooks + Python tests) run: PYTHON=python${{ matrix.python-version }} make check-ci + # The C++ tests with MSVC: a Release build with CMake's link-time optimisation (the wheel's + # configuration), with and without the private hooks. + cpp-windows-msvc: + name: C++ tests (windows, MSVC) + runs-on: windows-latest + defaults: + run: + shell: bash + env: + CC: cl + CXX: cl + steps: + - uses: actions/checkout@v4 + - uses: actions/setup-python@v5 + with: + python-version: "3.12" + - name: Install build tools + run: | + python -m pip install -U -c .github/ci-constraints.txt pip + python -m pip install -c .github/ci-constraints.txt cmake ninja + - uses: ilammy/msvc-dev-cmd@v1 + - name: C++ tests, private hooks on + run: bash dev/cpp-tests.sh release + - name: C++ tests, private hooks off + run: bash dev/cpp-tests.sh off + + sanitizers: + name: C++ tests (ubuntu, ASan + UBSan) + runs-on: ubuntu-22.04 + steps: + - uses: actions/checkout@v4 + - uses: actions/setup-python@v5 + with: + python-version: "3.12" + - name: Install build tools + run: | + python -m pip install -U -c .github/ci-constraints.txt pip + python -m pip install -c .github/ci-constraints.txt cmake ninja + - name: C++ tests under AddressSanitizer and UndefinedBehaviorSanitizer + run: bash dev/cpp-tests.sh sanitize + + # The generated type stub python/netgraph_core/__init__.pyi (make stubs-check): no drift from a + # fresh generation out of a wheel of this commit, the stub and py.typed in the wheel and the + # sdist, and the typed clients of tests/typing (valid: no diagnostic; invalid: exactly the + # expected ones) under pinned Pyright against the installed wheel and an installation built + # from the sdist. The script makes its own pinned venvs. Python 3.14: the version the + # committed stub is generated with. + stubs: + name: Type stub and typed clients (ubuntu, py3.14) + runs-on: ubuntu-22.04 + steps: + - uses: actions/checkout@v4 + - uses: actions/setup-python@v5 + with: + python-version: "3.14" + - name: Stub drift, package contents, typed clients (wheel and sdist) + run: PYTHON=python bash dev/stubs/run.sh check + coverage: name: Coverage (ubuntu, py3.11) runs-on: ubuntu-22.04 @@ -67,10 +142,7 @@ jobs: - uses: actions/setup-python@v5 with: python-version: "3.11" - - name: Install deps - run: | - python -m pip install -U pip wheel - python -m pip install -e .[dev] + # make cov builds its own pinned venv (build/coverage-venv) and fails on any failure. - name: Generate coverage (Python + C++) run: make cov - name: Upload coverage artifacts diff --git a/.gitignore b/.gitignore index eca4b33..3b8c2d3 100644 --- a/.gitignore +++ b/.gitignore @@ -1,229 +1,32 @@ -# Byte-compiled / optimized / DLL files +# Python __pycache__/ *.py[codz] -*$py.class - -# C extensions -*.so - -# Distribution / packaging -.Python -build/ -develop-eggs/ -dist/ -downloads/ -eggs/ -.eggs/ -lib/ -lib64/ -parts/ -sdist/ -var/ -wheels/ -share/python-wheels/ *.egg-info/ -.installed.cfg -*.egg -MANIFEST - -# PyInstaller -# Usually these files are written by a python script from a template -# before PyInstaller builds the exe, so as to inject date/other infos into it. -*.manifest -*.spec - -# Installer logs -pip-log.txt -pip-delete-this-directory.txt - -# Unit test / coverage reports -htmlcov/ -.tox/ -.nox/ -.coverage -.coverage.* -.cache -nosetests.xml -coverage.xml -*.cover -*.py.cover -.hypothesis/ -.pytest_cache/ -.benchmarks/ -cover/ - -# Consolidated coverage artifacts -build/coverage/ - -# CTest output if created in project root -Testing/ -CTestTestfile.cmake - -# Translations -*.mo -*.pot - -# Django stuff: -*.log -local_settings.py -db.sqlite3 -db.sqlite3-journal - -# Flask stuff: -instance/ -.webassets-cache - -# Scrapy stuff: -.scrapy - -# Sphinx documentation -docs/_build/ - -# PyBuilder -.pybuilder/ -target/ - -# Jupyter Notebook -.ipynb_checkpoints - -# IPython -profile_default/ -ipython_config.py - -# pyenv -# For a library or package, you might want to ignore these files since the code is -# intended to run in multiple environments; otherwise, check them in: -# .python-version - -# pipenv -# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. -# However, in case of collaboration, if having platform-specific dependencies or dependencies -# having no cross-platform support, pipenv may install dependencies that don't work, or not -# install all needed dependencies. -#Pipfile.lock - -# UV -# Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control. -# This is especially recommended for binary packages to ensure reproducibility, and is more -# commonly ignored for libraries. -#uv.lock - -# poetry -# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. -# This is especially recommended for binary packages to ensure reproducibility, and is more -# commonly ignored for libraries. -# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control -#poetry.lock -#poetry.toml - -# pdm -# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. -# pdm recommends including project-wide configuration in pdm.toml, but excluding .pdm-python. -# https://pdm-project.org/en/latest/usage/project/#working-with-version-control -#pdm.lock -#pdm.toml -.pdm-python -.pdm-build/ - -# pixi -# Similar to Pipfile.lock, it is generally recommended to include pixi.lock in version control. -#pixi.lock -# Pixi creates a virtual environment in the .pixi directory, just like venv module creates one -# in the .venv directory. It is recommended not to include this directory in version control. -.pixi - -# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm -__pypackages__/ - -# Celery stuff -celerybeat-schedule -celerybeat.pid - -# SageMath parsed files -*.sage.py - -# Environments -.env -.envrc -.venv -env/ venv/ -ENV/ -env.bak/ -venv.bak/ - -# Spyder project settings -.spyderproject -.spyproject - -# Rope project settings -.ropeproject - -# mkdocs documentation -/site - -# mypy -.mypy_cache/ -.dmypy.json -dmypy.json - -# Pyre type checker -.pyre/ - -# pytype static type analyzer -.pytype/ - -# Cython debug symbols -cython_debug/ - -# PyCharm -# JetBrains specific template is maintained in a separate JetBrains.gitignore that can -# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore -# and can be added to the global gitignore or merged into this file. For a more nuclear -# option (not recommended) you can uncomment the following to ignore the entire idea folder. -#.idea/ - -# Abstra -# Abstra is an AI-powered process automation framework. -# Ignore directories containing user credentials, local state, and settings. -# Learn more at https://abstra.io/docs -.abstra/ - -# Visual Studio Code -# Visual Studio Code specific template is maintained in a separate VisualStudioCode.gitignore -# that can be found at https://github.com/github/gitignore/blob/main/Global/VisualStudioCode.gitignore -# and can be added to the global gitignore or merged into this file. However, if you prefer, -# you could uncomment the following to ignore the entire vscode folder -.vscode/ - -# Ruff stuff: +.venv/ +.pytest_cache/ .ruff_cache/ -# PyPI configuration file -.pypirc +# Build outputs: CMake and scikit-build directories, distributions, compiled extensions +build/ +dist/ +*.so -# Cursor -# Cursor is an AI-powered code editor. `.cursorignore` specifies files/directories to -# exclude from AI features like autocomplete and code analysis. Recommended for sensitive data -# refer to https://docs.cursor.com/context/ignore-files -.cursorignore -.cursorindexingignore +# Credentials of `make publish` +.pypirc -# OS-specific -.DS_Store +# The backup and reject files `patch` leaves beside the files it patches +*.orig +*.rej -# IDEs +# Editors and OS +.vscode/ .idea/ *.code-workspace +.DS_Store -# Marimo -marimo/_static/ -marimo/_lsp/ -__marimo__/ -.pgo-profile/ +# Local output of browser-automation tools (Playwright's MCP server) +.playwright-mcp/ # Personal Superset lifecycle overrides .superset/config.local.json - -# Performance harness run logs -dev/perf/**/*.log diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index e33a25d..3f8522a 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -4,14 +4,12 @@ repos: hooks: - id: check-merge-conflict - id: check-yaml - # Recorded measurement artefacts and review patches must stay byte-exact. - id: end-of-file-fixer - exclude: ^dev/(research/|perf/.*/(results|review-[^/]+)/|reviews/|design/.*/experiments/) - id: trailing-whitespace - exclude: ^dev/(research/|perf/.*/(results|review-[^/]+)/|reviews/|design/.*/experiments/) - id: mixed-line-ending - id: debug-statements + # The revision matches the dev pin of Ruff (pyproject.toml). - repo: https://github.com/astral-sh/ruff-pre-commit rev: v0.11.13 hooks: @@ -19,9 +17,15 @@ repos: args: ["--fix"] - id: ruff-format - - repo: https://github.com/RobertCraigie/pyright-python - rev: v1.1.401 + # Pyright needs the compiled extension _netgraph_core to resolve the package's imports, so it + # runs as make lint runs it: the pinned Pyright of the project's venv (make dev), whose + # interpreter has the extension built, over the whole project (pyproject.toml's settings). + # An isolated hook environment cannot hold the extension. + - repo: local hooks: - id: pyright - additional_dependencies: ["numpy>=1.22"] - # Pyright reads configuration from pyproject.toml + name: pyright + entry: venv/bin/python -m pyright --pythonpath venv/bin/python + language: system + types_or: [python, pyi] + pass_filenames: false diff --git a/AGENTS.md b/AGENTS.md index 917fa5f..7b39e83 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -3,13 +3,18 @@ - Setup: `bash .superset/workspace.sh setup`. Each worktree gets its own venv; setup does not replace the Git hooks shared by worktrees. - Superset **Run**: `bash .superset/workspace.sh check` rebuilds the Python - extension, then runs lint, types, C++ and Python tests. Editable Python imports - alone do not rebuild changed C++. -- For C++ changes, also run `make sanitize-test` (ASan/UBSan; errors must fail). + extension, then runs lint, types, the C++ tests with and without the private + hooks, and the Python tests. Editable Python imports alone do not rebuild + changed C++. +- For C++ changes, also run `make sanitize-test` (ASan/UBSan) and + `make tsan-test` (ThreadSanitizer); errors must fail. - For downstream changes, run NetGraph's `dev/check_core_integration.sh` with this worktree's absolute path. Test the chosen build, not the published wheel. Confirm defects with a reproducer. Max-flow tests need feasibility, conservation -and optimality/cut checks with nonuniform costs, masks and cost-factor cases. -Keep bindings and `_docs.py` consistent. Performance claims need correctness -checks and A/B/A on one quiet machine. Local checks do not replace CI. +and optimality/cut checks with nonuniform costs, excluded nodes and edges, and +cost ceilings (Absolute, Stretch). +A binding signature or docstring change needs the regenerated type stub +(`bash dev/stubs/run.sh generate`; `make stubs-check` checks drift, package +contents and typed clients). Performance claims need correctness checks and +A/B/A on one quiet machine. Local checks do not replace CI. diff --git a/CHANGELOG.md b/CHANGELOG.md index 30bdb5e..402430d 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -7,8 +7,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ## [Unreleased] -The streamlined Core (breaking; integration branch `streamline`): one numeric domain (integer -units), one flow core, one placement engine. It replaces the 0.11 API. +A rebuilt Core (breaking): one numeric domain (integer units), one flow core, one placement +engine. It replaces the 0.11 API. ### Changed @@ -20,10 +20,9 @@ units), one flow core, one placement engine. It replaces the 0.11 API. unit values, the shapes, zero or negative costs, the remaining bounds including the cost-sum guard), on the exact integers also beyond int64. Accessors return read-only NumPy views that keep their graph alive, also when empty. - Construction uses stable counting passes: expected linear in edges plus nodes for bounded, - well-distributed distinct costs. It sorts all costs above 65,536 distinct costs or when the - cumulative hash-probe budget is exhausted. An edgeless graph needs validation and two - zero-filled offset arrays. Moving a graph no longer allocates. + Construction numbers the edges by counting sort, in expected time linear in edges plus nodes + for typical costs; above 65,536 distinct costs, or when the hash table that ranks the costs + examines too many slots, it sorts all costs instead. Moving a graph no longer allocates. `Eligibility` is built from excluded node ids and EdgeIds, with `Eligibility.intersect(a, b)`. `to_units` (round half up) and `as_float` are the only conversions between physical values and units. @@ -36,16 +35,16 @@ units), one flow core, one placement engine. It replaces the 0.11 API. ledger: a baseline in units (validated within `[0, capacity_units]`), records as snapshots in FlowId order (`records()`, `record(flow_id)` with `FlowId = (ledger uid, id)`, ids never reused), `capacity_units()`, `residual()`, `allocated()`, `bottleneck(sources, elig)`, - `reset()` and `copy()` with the lifetime table (bound and orphaned records; reset and copy - rejected while a policy is bound). `FlowRecord` carries the flow's endpoints as sets, + `reset()` and `copy()` (both rejected while a policy is bound; `reset()` clears the records a + destroyed policy left behind). `FlowRecord` carries the flow's endpoints as sets, placement, admission, bundle (`PredDAG`), route cost, `offered` (Lossy only), delivery and - per-edge allocations and drops; counters are 128-bit (exact Python ints). The ledger is - mutated only through policies. + per-edge allocations and drops; counters are 128-bit (exact Python ints). Policies place and + remove flows; `reset()` replaces an unbound ledger's baseline and clears its records. - **Kernels**: `FlowPlacement` (`MAX_FLOW`, `WEIGHTED`, `EQUAL_BALANCED`) and `Admission` - (`LOSSLESS`, `LOSSY`). MaxFlow solves the flow core on the flow's split graph over the residual - plus its own allocation; Weighted apportions by highest averages (D'Hondt, EdgeId ties) over - weights frozen at creation from `priority`; EqualBalanced by round robin from the lowest - EdgeId; Lossy splits each offer per call and records transit drops. + (`LOSSLESS`, `LOSSY`). `MAX_FLOW` re-solves the flow with the flow core on its route over the free + capacity plus its own allocation; `WEIGHTED` splits in proportion to weights fixed at creation + from `priority` (highest averages, D'Hondt, EdgeId ties); `EQUAL_BALANCED` splits equally by + round robin from the lowest EdgeId; Lossy splits each offer per call and records transit drops. - **Policies**: `FlowPolicy(ledger, sources, destinations, config, elig=None, cache=None)` is the one placement engine. `FlowPolicyConfig(routing=..., placement=..., admission=..., selection=...)` has four explicit axes; the routing is `CostOnly()`, `CapacityAware(...)` @@ -57,27 +56,31 @@ units), one flow core, one placement engine. It replaces the 0.11 API. the residual plus the policy's own allocation, and returns `PlacementResult` (`placed`, `remaining`, `termination`, `local_outcomes`, `routes_changed`, `weights_changed`, `drops`, Global's `cost_distribution`, and `edge_flows`, `residual`, `bottleneck` and Global's - `min_cut` when requested through `OutputOptions`). Validation precedes the zero-volume shortcut. + `min_cut` when requested through `OutputOptions`). A request of 0 is validated like any other. `remove()`, `records()`, `record(flow_id)` (the policy's own records), `placed_demand()` and `usable_bundles()` complete the policy. -- **Failure guarantee**: every public call is all-or-nothing up to its caller, an allocation - failure included, across worker threads and the Python result. Two limits: the pybind11 object - machinery (a construction or conversion outside the staged calls allocates through - `make_new_instance`, which does not check `tp_alloc`: a Python allocation failure there - crashes the process, Core state unchanged), and a supplied building `DagCache`, a memo that - keeps the complete entries and statistics of the lookups that succeeded before a failure. +- **Failure guarantee**: every public call either completes or raises and changes nothing, also + when memory runs out, a worker thread fails or the Python result cannot be built. Two limits: + running out of memory inside pybind11's own object construction (outside the library's checked + result construction) may crash the process; a `DagCache` passed to the call: a building cache + keeps the complete entries and statistics of the lookups that succeeded before the failure, and + a frozen cache keeps its entries and changes none of its statistics, except one miss when the + call raised `DagCacheMiss`. - **Search**: `spf(graph, roots, SpfOptions(direction, selection, targets=None, residual=None, min_residual=1, elig=None))` returns `SpfResult`. It searches from a root set (every root at - distance 0), `Direction.FORWARD` or `REVERSE`. Without targets it settles every reachable node - and returns `costs` (`UNREACHABLE` for the nodes not reached) and the full DAG of tight edges, + distance 0), `Direction.FORWARD` or `REVERSE`. Without targets it finds the distance of every reachable + node and returns `costs` (`UNREACHABLE` for the nodes not reached) and the full DAG of tight edges, the edges on some shortest path. With targets it stops at the nearest targets' cost and returns `target_cost` and the DAG of the walks between the roots and a nearest target (for a reverse search, from the target to a root). With - `multipath=False` it returns the canonical single path: the one walk that minimises cost, - then the bottleneck under `PREFER_HIGHER_PRIORITY`, then hops, then the edge-id sequence. A + `multipath=False` it returns the canonical single path: the walk of lowest cost, then (under + `PREFER_HIGHER_PRIORITY` only) of highest bottleneck, the smallest priority value along it, + then of fewest hops, then of lexicographically smallest edge-id sequence; with + `multi_edge=False` each node pair is first reduced to one parallel member. A residual adds residual gating, which keeps only the edges with at least `min_residual` - residual units. Every search runs on one traversal core, with a bucket queue when the cost - width allows and a heap otherwise. + residual units. Every search runs on one traversal core, with a bucket queue (nodes grouped by + distance) when the largest edge cost is at most 65,535 times the costs' greatest common + divisor, and a binary heap otherwise. - **KSP and paths**: `ksp(graph, src, dst, KspOptions(k, selection, max_path_cost=None, residual=None, elig=None))` returns the K shortest simple paths as `(cost, Path)` pairs. They come in increasing (cost, -bottleneck under `PREFER_HIGHER_PRIORITY`, hops, edge ids) order, @@ -86,26 +89,31 @@ units), one flow core, one placement engine. It replaces the 0.11 API. `resolve_to_paths(graph, dag, src, dst, split_parallel_edges=False, max_paths=None)` lists a DAG's walks in (cost, hops, edge ids) order. - **DagCache**: `DagCache(graph)` is keyed by the root set, the direction and the Eligibility. - Its values are the full static supports (immutable, shared, valid after `clear()`), and + Its values are the full static shortest-path DAGs (immutable, shared, valid after `clear()`), and `stats()` reports `hits`, `misses`, `entries`, `bytes` and `live_values`. - **Building mode:** one writer; a miss searches and inserts. - **Frozen mode:** `freeze()` makes the cache read-only and shareable by every worker of an evaluator. A frozen lookup miss raises `DagCacheMiss`, an exception the evaluators pass on - unchanged, never as a status. `clear()` raises when frozen, and `thaw()` returns to - building mode after the caller has joined every reader. + unchanged. `clear()` raises when frozen, and `thaw()` returns to building mode after the + caller has joined every reader. - **Evaluators**: `capacity(graph, sources, destinations, CapacityOptions(...))` (with Global - and MaxFlow the exact maximum flow, its marginal cost curve and its minimum cut), + and `MAX_FLOW` the exact maximum flow, its marginal cost curve and its minimum cut), `batch_capacity(graph, pairs, opts, per_pair_elig=None, workers=None)` (pair order; the lowest - failing index raises; a supplied cache needs `workers == 1`) and `sensitivity(graph, sources, - destinations, SensitivityOptions(...), workers=None)` (every candidate edge, the signed - unthresholded loss in units, unevaluable edges with their reason). The default worker counts - read `NGRAPH_CORE_BATCH_THREADS` and `NGRAPH_CORE_SENSITIVITY_THREADS` (1 when unset). -- **Flow core**: one integer minimum-cost flow (successive shortest paths with potentials, - Dinic phases per cost tier, every edge its own arc, arcs at a node in ascending EdgeId) serves - Global routing, the MaxFlow kernel and the evaluators (the exact sensitivity model re-solves - each deletion from the baseline solve's final state); the private entry - `_netgraph_core._place_global_units` returns the value, the marginal cost curve, edge flows, - the residual minimum cut, the potentials and six operation counters. + failing index raises) and `sensitivity(graph, sources, destinations, SensitivityOptions(...), + workers=None)` (every candidate edge and its signed unthresholded loss in units; a failed + deletion fails the call). A supplied building cache needs `workers == 1`; a frozen cache is + shared by every worker. With `workers=None` the count is 1 when a cache is supplied, otherwise + `NGRAPH_CORE_BATCH_THREADS` and `NGRAPH_CORE_SENSITIVITY_THREADS` (an integer in [1, 4096]; + 1 when unset or invalid). +- **Flow core**: one exact integer minimum-cost flow solver (successive shortest paths with + potentials, then Dinic phases for each cost level; each edge is its own arc, visited in + ascending EdgeId) serves Global routing, the `MAX_FLOW` kernel and the evaluators (sensitivity + repairs the baseline's solution for each removed edge instead of solving again); the private + entry `_netgraph_core._place_global_units` returns the value, the marginal cost curve, the edge + flows, the minimum cut, the potentials and six operation counters. The solver numbers its + network in `int32`, so a solve raises `ValueError`, before it sizes anything, on a network of + more than `INT32_MAX - 2` nodes or with more than `2^30 - 1` edges, sources and destinations + together; graphs of every accepted size still build and can be searched. - **C++ headers** (under `netgraph/core/`): `types.hpp`, `graph.hpp` (`Graph`, `to_units`, `as_float`; it includes `eligibility.hpp`), `eligibility.hpp`, `options.hpp` (the selection axes, `FlowPlacement`, `Admission`), `pred_dag.hpp`, `flow_record.hpp` (`FlowId`, @@ -114,6 +122,14 @@ units), one flow core, one placement engine. It replaces the 0.11 API. queue choice `SpfQueue { Auto, Heap }` is a C++-only trailing parameter of `spf`); each compiles alone and includes no `detail/` header. Python spells the creation cap `MAX_FLOWS_PER_CALL` (C++ `kMaxFlowsPerCall`). +- **Typing**: the package ships `__init__.pyi`, a type stub generated from the compiled module + (pybind11-stubgen with reviewed overrides: exact integer and array types, NumPy result + dtypes, optional values, and no constructor for the result classes the module refuses to + construct), next to `py.typed`. The stub carries the binding docstrings. `bash dev/stubs/run.sh + generate` regenerates it; `make stubs-check` checks it against a fresh generation, the wheel + and sdist contents, and typed client programs. +- **Error messages**: the error for a finite request after `float('inf')` within an epoch no + longer cites a rule number. ### Removed @@ -124,6 +140,15 @@ units), one flow core, one placement engine. It replaces the 0.11 API. batch max-flow and the previous sensitivity, the SPF memo and `StateStamp`, `kMinFlow`, `kEpsilon`, `constants.hpp`, and the profiling facility (the Python accessors, the C++ scopes and `NGRAPH_CORE_PROFILE`). +- The hand-written typing module `netgraph_core/_docs.py`, replaced by the generated stub. +- The sensitivity entry status (`SensitivityStatus`, `SensitivityEntry.status` and `.reason`): + Successful entries were always `EVALUATED`; + `SensitivityEntry.loss` is now always an int, and a failed deletion fails the call. + +### Fixed + +- Fixed double frees and leaks when native allocation fails while constructing Python result + wrappers for `spf`, `ksp` and `resolve_to_paths`; these failures now raise `MemoryError`. ## [0.11.0] - 2026-10-02 diff --git a/CMakeLists.txt b/CMakeLists.txt index 03c66aa..03bd37c 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -1,72 +1,34 @@ cmake_minimum_required(VERSION 3.23) project(netgraph_core LANGUAGES CXX) -# Silence pybind11 FindPython compatibility warning by selecting the modern mode -set(PYBIND11_FINDPYTHON NEW CACHE STRING "Use modern FindPython in pybind11") -# Optional C++ tests + +# ============================================================================= +# Options. Every build states them on its command line (pyproject.toml for pip builds, +# dev/cpp-tests.sh for the C++ test builds), so a value cached by an earlier configure of the same +# build directory never decides a later build. +# ============================================================================= + option(NETGRAPH_CORE_BUILD_TESTS "Build C++ unit tests" OFF) -# The private hooks (test controls and prototype-parity diagnostics the contract does not name): -# ON for the editable development build (pyproject.toml) and the test suites (dev/cpp-tests.sh), -# OFF for an installed wheel. +# The private hooks (test controls, and diagnostics such as the placement trace that the tests +# compare with the reference under tests/reference/policy/; neither is public API): +# ON for the editable development build (pyproject.toml) and the hooks-on test suites +# (dev/cpp-tests.sh), OFF for a wheel and for the hooks-off test suite. option(NETGRAPH_CORE_PRIVATE_HOOKS "Build the private test hooks into the library and the extension" OFF) -if(NETGRAPH_CORE_BUILD_TESTS) - include(FetchContent) - FetchContent_Declare( - googletest - URL https://github.com/google/googletest/archive/refs/tags/v1.14.0.zip - DOWNLOAD_EXTRACT_TIMESTAMP TRUE - ) - FetchContent_MakeAvailable(googletest) - enable_testing() -add_executable(netgraph_core_tests - tests/cpp/graph_tests.cpp - tests/cpp/graph_layout_tests.cpp - tests/cpp/graph_concurrency_tests.cpp - tests/cpp/flow_core_tests.cpp - tests/cpp/flow_core_deletion_tests.cpp - tests/cpp/eligibility_tests.cpp - tests/cpp/pred_dag_tests.cpp - tests/cpp/search_tests.cpp - tests/cpp/ksp_tests.cpp - tests/cpp/dag_cache_tests.cpp - tests/cpp/kernels_tests.cpp - tests/cpp/cost_only_creation_tests.cpp - tests/cpp/flow_ledger_tests.cpp - tests/cpp/flow_policy_fixture_tests.cpp - tests/cpp/flow_policy_tests.cpp -) - target_link_libraries(netgraph_core_tests PRIVATE netgraph_core GTest::gtest_main) - target_include_directories(netgraph_core_tests PRIVATE tests/cpp) - target_compile_definitions(netgraph_core_tests PRIVATE NETGRAPH_CORE_TEST_DATA="${CMAKE_CURRENT_SOURCE_DIR}/tests/data") - if(NETGRAPH_CORE_COVERAGE AND (CMAKE_CXX_COMPILER_ID MATCHES "GNU|Clang")) - # Atomic counters: see the NETGRAPH_CORE_COVERAGE block below. - target_compile_options(netgraph_core_tests PRIVATE -O0 -g --coverage) - if(CMAKE_CXX_COMPILER_ID MATCHES "GNU") - target_compile_options(netgraph_core_tests PRIVATE -fprofile-update=atomic) - endif() - target_link_options(netgraph_core_tests PRIVATE --coverage) - endif() - # Allocation-failure tests replace the global operator new: a separate executable. - add_executable(netgraph_core_fault_tests tests/cpp/flow_ledger_fault_tests.cpp tests/cpp/flow_policy_fault_tests.cpp - tests/cpp/flow_core_deletion_fault_tests.cpp tests/cpp/search_fault_tests.cpp - tests/cpp/graph_fault_tests.cpp) - target_link_libraries(netgraph_core_fault_tests PRIVATE netgraph_core GTest::gtest_main) - target_include_directories(netgraph_core_fault_tests PRIVATE tests/cpp) - if(NETGRAPH_CORE_COVERAGE AND (CMAKE_CXX_COMPILER_ID MATCHES "GNU|Clang")) - target_compile_options(netgraph_core_fault_tests PRIVATE -O0 -g --coverage) - if(CMAKE_CXX_COMPILER_ID MATCHES "GNU") - target_compile_options(netgraph_core_fault_tests PRIVATE -fprofile-update=atomic) - endif() - target_link_options(netgraph_core_fault_tests PRIVATE --coverage) - endif() - include(GoogleTest) - gtest_discover_tests(netgraph_core_tests) - gtest_discover_tests(netgraph_core_fault_tests) +option(NETGRAPH_CORE_COVERAGE "Enable C++ coverage instrumentation" OFF) +option(NETGRAPH_CORE_SANITIZE "Enable Address/Undefined sanitizers" OFF) +option(NETGRAPH_CORE_TSAN "Enable ThreadSanitizer" OFF) +option(NETGRAPH_CORE_NATIVE "Optimize for current CPU (not portable)" OFF) +if(NETGRAPH_CORE_SANITIZE AND NETGRAPH_CORE_TSAN) + # ThreadSanitizer cannot be combined with AddressSanitizer in one binary. + message(FATAL_ERROR "NETGRAPH_CORE_SANITIZE and NETGRAPH_CORE_TSAN are mutually exclusive") endif() +# Settings for every target: CMake applies them to targets created later, so they come first. set(CMAKE_CXX_STANDARD 20) set(CMAKE_CXX_STANDARD_REQUIRED ON) set(CMAKE_CXX_EXTENSIONS OFF) set(CMAKE_POSITION_INDEPENDENT_CODE ON) +# Silence pybind11 FindPython compatibility warning by selecting the modern mode +set(PYBIND11_FINDPYTHON NEW CACHE STRING "Use modern FindPython in pybind11") # macOS: enforce consistent deployment target and architecture for wheels/builds if(APPLE) @@ -84,20 +46,24 @@ if(APPLE) endif() endif() -# Dependencies -find_package(pybind11 3 CONFIG QUIET) +# Dependencies. pybind11 is exactly the version pinned in pyproject.toml's build requirements, +# whose licence notice the wheel ships (third_party/pybind11/LICENSE). +find_package(pybind11 3.1.0 EXACT CONFIG QUIET) if(NOT pybind11_FOUND) - message(STATUS "pybind11 not found via config; using FetchContent") + message(STATUS "pybind11 3.1.0 not found via config; using FetchContent") include(FetchContent) FetchContent_Declare( pybind11 - GIT_REPOSITORY https://github.com/pybind/pybind11.git - GIT_TAG v3.0.0 + URL https://github.com/pybind/pybind11/archive/refs/tags/v3.1.0.tar.gz + URL_HASH SHA256=ef712655692a2e9bf7bb7874c022564a45f91d847ddee987e720cd9e28849665 DOWNLOAD_EXTRACT_TIMESTAMP TRUE ) FetchContent_MakeAvailable(pybind11) endif() +# ============================================================================= +# Targets +# ============================================================================= add_library(netgraph_core STATIC src/graph.cpp @@ -117,56 +83,150 @@ target_include_directories(netgraph_core PUBLIC ) # PUBLIC: the library, the extension and the tests see one value (0 or 1). target_compile_definitions(netgraph_core PUBLIC NETGRAPH_CORE_PRIVATE_HOOKS=$) -## C++ standard is set globally above. target_compile_features(netgraph_core PUBLIC cxx_std_20) -# Warnings -if(MSVC) - target_compile_options(netgraph_core PRIVATE /W4 /permissive-) -else() - target_compile_options(netgraph_core PRIVATE -Wall -Wextra -Wpedantic) -endif() - -# Python extension -pybind11_add_module(_netgraph_core bindings/python/module.cpp) +# Python extension: the module entry and its registration files (bindings/python/), in the +# order the entry calls them; the shared helpers are headers there. +pybind11_add_module(_netgraph_core + bindings/python/module.cpp + bindings/python/axes.cpp + bindings/python/units.cpp + bindings/python/eligibility.cpp + bindings/python/graph.cpp + bindings/python/recorder.cpp + bindings/python/pred_dag.cpp + bindings/python/path.cpp + bindings/python/flow_record.cpp + bindings/python/flow_ledger.cpp + bindings/python/routing.cpp + bindings/python/policy_config.cpp + bindings/python/placement_result.cpp + bindings/python/dag_cache.cpp + bindings/python/flow_policy.cpp + bindings/python/evaluators.cpp + bindings/python/paths.cpp + bindings/python/search.cpp + bindings/python/hooks.cpp +) +# The library's PUBLIC usage requirements (C++20, the hooks flag, the libc++ settings below) reach +# the extension through this link. target_link_libraries(_netgraph_core PRIVATE netgraph_core) -target_compile_features(_netgraph_core PRIVATE cxx_std_20) if(APPLE) # Prefer maximum runtime compatibility for libc++ on macOS target_compile_definitions(netgraph_core PUBLIC _LIBCPP_DISABLE_AVAILABILITY=1 _LIBCPP_ABI_VERSION=1) - target_compile_definitions(_netgraph_core PRIVATE _LIBCPP_DISABLE_AVAILABILITY=1 _LIBCPP_ABI_VERSION=1) endif() +# The targets that get the project's warnings and either the link-time optimisation (where the +# compiler supports it) or, in a coverage or sanitizer build, the instrumentation: the library, +# the extension and, in a test build, the two test executables (added below). The header +# self-containment check below is not one of them. The extra code-generation flags go to the +# library and the extension only. +set(NETGRAPH_CORE_PROJECT_TARGETS netgraph_core _netgraph_core) + +if(NETGRAPH_CORE_BUILD_TESTS) + include(FetchContent) + FetchContent_Declare( + googletest + URL https://github.com/google/googletest/archive/refs/tags/v1.14.0.zip + URL_HASH SHA256=1f357c27ca988c3f7c6b4bf68a9395005ac6761f034046e9dde0896e3aba00e4 + DOWNLOAD_EXTRACT_TIMESTAMP TRUE + ) + # MSVC: link googletest against the same (shared) C runtime as the project. + set(gtest_force_shared_crt ON CACHE BOOL "" FORCE) + FetchContent_MakeAvailable(googletest) + # googletest itself stays at C++17 (under C++20 its char8_t printer warns with Clang 21); the + # project's tests below are C++20 like the library. + set_target_properties(gtest gtest_main gmock gmock_main PROPERTIES CXX_STANDARD 17) + enable_testing() + add_executable(netgraph_core_tests + tests/cpp/graph_tests.cpp + tests/cpp/graph_layout_tests.cpp + tests/cpp/graph_concurrency_tests.cpp + tests/cpp/flow_core_tests.cpp + tests/cpp/flow_core_deletion_tests.cpp + tests/cpp/eligibility_tests.cpp + tests/cpp/pred_dag_tests.cpp + tests/cpp/search_tests.cpp + tests/cpp/ksp_tests.cpp + tests/cpp/dag_cache_tests.cpp + tests/cpp/kernels_tests.cpp + tests/cpp/cost_only_creation_tests.cpp + tests/cpp/flow_ledger_tests.cpp + tests/cpp/flow_policy_fixture_tests.cpp + tests/cpp/flow_policy_tests.cpp + ) + target_compile_definitions(netgraph_core_tests PRIVATE NETGRAPH_CORE_TEST_DATA="${CMAKE_CURRENT_SOURCE_DIR}/tests/data") + # Allocation-failure tests replace the global operator new: a separate executable. + add_executable(netgraph_core_fault_tests + tests/cpp/fault_injection.cpp + tests/cpp/flow_ledger_fault_tests.cpp + tests/cpp/flow_policy_fault_tests.cpp + tests/cpp/flow_core_deletion_fault_tests.cpp + tests/cpp/search_fault_tests.cpp + tests/cpp/graph_fault_tests.cpp + ) + foreach(tgt netgraph_core_tests netgraph_core_fault_tests) + target_link_libraries(${tgt} PRIVATE netgraph_core GTest::gtest_main) + target_include_directories(${tgt} PRIVATE tests/cpp) + endforeach() + # Every public header compiles on its own: one generated source file per header, holding only + # its include, built with the test executables. No public header names a private detail/ + # header in an #include (the configure stops on one). + file(GLOB NETGRAPH_CORE_PUBLIC_HEADERS RELATIVE ${CMAKE_CURRENT_SOURCE_DIR}/include + CONFIGURE_DEPENDS ${CMAKE_CURRENT_SOURCE_DIR}/include/netgraph/core/*.hpp) + set(NETGRAPH_CORE_HEADER_CHECKS) + foreach(header ${NETGRAPH_CORE_PUBLIC_HEADERS}) + file(STRINGS ${CMAKE_CURRENT_SOURCE_DIR}/include/${header} private_includes + REGEX "^[ \t]*#[ \t]*include[ \t]*[\"<][^\">]*detail/") + if(private_includes) + message(FATAL_ERROR "public header ${header} includes a private detail/ header: ${private_includes}") + endif() + string(MAKE_C_IDENTIFIER ${header} id) + file(GENERATE OUTPUT ${CMAKE_CURRENT_BINARY_DIR}/header_checks/${id}.cpp CONTENT "#include \"${header}\"\n") + list(APPEND NETGRAPH_CORE_HEADER_CHECKS ${CMAKE_CURRENT_BINARY_DIR}/header_checks/${id}.cpp) + endforeach() + add_library(netgraph_core_header_checks OBJECT ${NETGRAPH_CORE_HEADER_CHECKS}) + target_link_libraries(netgraph_core_header_checks PRIVATE netgraph_core) + add_dependencies(netgraph_core_tests netgraph_core_header_checks) + list(APPEND NETGRAPH_CORE_PROJECT_TARGETS netgraph_core_tests netgraph_core_fault_tests) + include(GoogleTest) + gtest_discover_tests(netgraph_core_tests) + gtest_discover_tests(netgraph_core_fault_tests) +endif() + +# Warnings: the project's set on the library, the extension and the test executables (the list +# above); third-party code keeps its own. +if(MSVC) + set(NETGRAPH_CORE_WARNINGS /W4 /permissive-) +else() + set(NETGRAPH_CORE_WARNINGS -Wall -Wextra -Wpedantic) +endif() +foreach(tgt ${NETGRAPH_CORE_PROJECT_TARGETS}) + target_compile_options(${tgt} PRIVATE ${NETGRAPH_CORE_WARNINGS}) +endforeach() + # ============================================================================= # Performance optimizations (disabled when coverage/sanitizers are enabled) # ============================================================================= -option(NETGRAPH_CORE_COVERAGE "Enable C++ coverage instrumentation" OFF) -option(NETGRAPH_CORE_SANITIZE "Enable Address/Undefined sanitizers" OFF) -option(NETGRAPH_CORE_TSAN "Enable ThreadSanitizer" OFF) -if(NETGRAPH_CORE_SANITIZE AND NETGRAPH_CORE_TSAN) - # ThreadSanitizer cannot be combined with AddressSanitizer in one binary. - message(FATAL_ERROR "NETGRAPH_CORE_SANITIZE and NETGRAPH_CORE_TSAN are mutually exclusive") -endif() -option(NETGRAPH_CORE_NATIVE "Optimize for current CPU (not portable)" OFF) -option(NETGRAPH_CORE_FAST_MATH "Enable fast math (may affect precision)" OFF) -option(NETGRAPH_CORE_PGO_GENERATE "Instrument for PGO profile collection" OFF) -option(NETGRAPH_CORE_PGO_USE "Use PGO profile data (set NETGRAPH_CORE_PGO_DIR)" OFF) -set(NETGRAPH_CORE_PGO_DIR "${CMAKE_BINARY_DIR}/pgo" CACHE PATH "Directory for PGO profile data") - -# Only apply optimizations when not in debug/instrumentation mode +# Apply the extra optimization settings when coverage and sanitizers are off (whatever the build +# type: a Debug build gets them too). if(NOT NETGRAPH_CORE_COVERAGE AND NOT NETGRAPH_CORE_SANITIZE AND NOT NETGRAPH_CORE_TSAN) - # LTO (Link Time Optimization) - enables cross-module inlining + # LTO (Link Time Optimization) - enables cross-module inlining. LANGUAGES CXX: googletest + # enables C as well, and the check would otherwise require LTO support for C too and turn LTO + # off in every test build. The test executables are LTO-linked like the extension, so the C++ + # tests exercise the code generation that ships. include(CheckIPOSupported) - check_ipo_supported(RESULT ipo_supported OUTPUT ipo_error) + check_ipo_supported(RESULT ipo_supported OUTPUT ipo_error LANGUAGES CXX) if(ipo_supported) message(STATUS "Enabling LTO (Link Time Optimization)") - set_target_properties(netgraph_core PROPERTIES INTERPROCEDURAL_OPTIMIZATION TRUE) - set_target_properties(_netgraph_core PROPERTIES INTERPROCEDURAL_OPTIMIZATION TRUE) + set_target_properties(${NETGRAPH_CORE_PROJECT_TARGETS} PROPERTIES INTERPROCEDURAL_OPTIMIZATION TRUE) else() message(STATUS "LTO not supported: ${ipo_error}") endif() + # MSVC gets no extra flags: its build type's optimisation (/O2 in Release) and CMake's LTO (/GL + # with the matching /LTCG link option) suffice. if(CMAKE_CXX_COMPILER_ID MATCHES "GNU|Clang") # GCC-only: allow aggressive inlining by promising symbols won't be interposed if(CMAKE_CXX_COMPILER_ID STREQUAL "GNU") @@ -188,77 +248,33 @@ if(NOT NETGRAPH_CORE_COVERAGE AND NOT NETGRAPH_CORE_SANITIZE AND NOT NETGRAPH_CO target_compile_options(netgraph_core PRIVATE -march=native) target_compile_options(_netgraph_core PRIVATE -march=native) endif() - - # Fast math - trades IEEE compliance for speed - if(NETGRAPH_CORE_FAST_MATH) - message(STATUS "Enabling fast math optimizations") - target_compile_options(netgraph_core PRIVATE -ffast-math) - target_compile_options(_netgraph_core PRIVATE -ffast-math) - endif() - - # PGO (Profile-Guided Optimization) - uses runtime profile to guide inlining decisions - # GCC: -fprofile-generate/-fprofile-use, Clang: -fprofile-instr-* - if(NETGRAPH_CORE_PGO_GENERATE) - message(STATUS "PGO: Instrumenting for profile generation -> ${NETGRAPH_CORE_PGO_DIR}") - file(MAKE_DIRECTORY ${NETGRAPH_CORE_PGO_DIR}) - if(CMAKE_CXX_COMPILER_ID STREQUAL "GNU") - target_compile_options(netgraph_core PRIVATE -fprofile-generate=${NETGRAPH_CORE_PGO_DIR}) - target_compile_options(_netgraph_core PRIVATE -fprofile-generate=${NETGRAPH_CORE_PGO_DIR}) - target_link_options(netgraph_core PRIVATE -fprofile-generate=${NETGRAPH_CORE_PGO_DIR}) - target_link_options(_netgraph_core PRIVATE -fprofile-generate=${NETGRAPH_CORE_PGO_DIR}) - else() - # Clang/AppleClang: use LLVM instrumentation PGO - target_compile_options(netgraph_core PRIVATE -fprofile-instr-generate=${NETGRAPH_CORE_PGO_DIR}/default.profraw) - target_compile_options(_netgraph_core PRIVATE -fprofile-instr-generate=${NETGRAPH_CORE_PGO_DIR}/default.profraw) - target_link_options(netgraph_core PRIVATE -fprofile-instr-generate=${NETGRAPH_CORE_PGO_DIR}/default.profraw) - target_link_options(_netgraph_core PRIVATE -fprofile-instr-generate=${NETGRAPH_CORE_PGO_DIR}/default.profraw) - endif() - elseif(NETGRAPH_CORE_PGO_USE) - message(STATUS "PGO: Using profile data from ${NETGRAPH_CORE_PGO_DIR}") - if(CMAKE_CXX_COMPILER_ID STREQUAL "GNU") - target_compile_options(netgraph_core PRIVATE -fprofile-use=${NETGRAPH_CORE_PGO_DIR} -fprofile-correction) - target_compile_options(_netgraph_core PRIVATE -fprofile-use=${NETGRAPH_CORE_PGO_DIR} -fprofile-correction) - else() - # Clang/AppleClang: use merged .profdata file - target_compile_options(netgraph_core PRIVATE -fprofile-instr-use=${NETGRAPH_CORE_PGO_DIR}/default.profdata) - target_compile_options(_netgraph_core PRIVATE -fprofile-instr-use=${NETGRAPH_CORE_PGO_DIR}/default.profdata) - endif() - endif() - elseif(MSVC) - # /O2: full optimization, /GL: whole program optimization (MSVC's LTO) - target_compile_options(netgraph_core PRIVATE /O2 /GL) - target_compile_options(_netgraph_core PRIVATE /O2 /GL) - if(NETGRAPH_CORE_FAST_MATH) - target_compile_options(netgraph_core PRIVATE /fp:fast) - target_compile_options(_netgraph_core PRIVATE /fp:fast) - endif() endif() endif() # ============================================================================= -# Debug/instrumentation options (mutually exclusive with optimizations above) +# Coverage and sanitizer options (mutually exclusive with the extra optimizations above). A request +# the compiler cannot honour stops the configure: a build that ran its tests without the requested +# checker would otherwise report success. # ============================================================================= if(NETGRAPH_CORE_COVERAGE) message(STATUS "Enabling coverage instrumentation (disables optimizations)") if(CMAKE_CXX_COMPILER_ID MATCHES "GNU|Clang") - # The evaluators' worker threads corrupt the default non-atomic profile counters under - # concurrent updates (gcov then emits impossible values such as "branch 4 taken -1"). - set(COV_FLAGS -O0 -g --coverage) - if(CMAKE_CXX_COMPILER_ID MATCHES "GNU") - list(APPEND COV_FLAGS -fprofile-update=atomic) - endif() - foreach(tgt netgraph_core _netgraph_core) + # Atomic counters (GCC and Clang): the evaluators' worker threads corrupt the default + # non-atomic profile counters under concurrent updates (gcov then emits impossible values + # such as "branch 4 taken -1"). + set(COV_FLAGS -O0 -g --coverage -fprofile-update=atomic) + foreach(tgt ${NETGRAPH_CORE_PROJECT_TARGETS}) target_compile_options(${tgt} PRIVATE ${COV_FLAGS}) target_link_options(${tgt} PRIVATE --coverage) endforeach() else() - message(WARNING "NETGRAPH_CORE_COVERAGE requires GCC or Clang") + message(FATAL_ERROR "NETGRAPH_CORE_COVERAGE requires GCC or Clang") endif() endif() if(NETGRAPH_CORE_SANITIZE) - message(STATUS "Enabling sanitizers (disables optimizations)") + message(STATUS "Enabling sanitizers (without the extra optimizations)") if(CMAKE_CXX_COMPILER_ID MATCHES "GNU|Clang") # Must be a CMake list: a single quoted string reaches the compiler as one # argument and clang rejects "-fsanitize=address,undefined -fno-omit-frame-pointer". @@ -269,23 +285,19 @@ if(NETGRAPH_CORE_SANITIZE) # and then silently ignored, which is indistinguishable from not checking at all. set(SAN_FLAGS -fsanitize=address,undefined -fno-omit-frame-pointer -fno-sanitize-recover=undefined) - set(SAN_TARGETS netgraph_core _netgraph_core) - if(TARGET netgraph_core_tests) - # The test executables link the sanitized static library, so they must be - # built and linked with the same flags to pull in the sanitizer runtime. - list(APPEND SAN_TARGETS netgraph_core_tests netgraph_core_fault_tests) - endif() - foreach(tgt ${SAN_TARGETS}) + # The test executables link the sanitized static library, so they are built and linked with + # the same flags to pull in the sanitizer runtime. + foreach(tgt ${NETGRAPH_CORE_PROJECT_TARGETS}) target_compile_options(${tgt} PRIVATE ${SAN_FLAGS}) target_link_options(${tgt} PRIVATE ${SAN_FLAGS}) endforeach() else() - message(WARNING "NETGRAPH_CORE_SANITIZE requires GCC or Clang") + message(FATAL_ERROR "NETGRAPH_CORE_SANITIZE requires GCC or Clang") endif() endif() if(NETGRAPH_CORE_TSAN) - message(STATUS "Enabling ThreadSanitizer (disables optimizations)") + message(STATUS "Enabling ThreadSanitizer (without the extra optimizations)") if(CMAKE_CXX_COMPILER_ID MATCHES "GNU|Clang") # The data-race check of the evaluators' worker threads and the shared DagCache. A CMake # list, as SAN_FLAGS above. A report makes the process exit non-zero (TSan's exit code 66, @@ -293,18 +305,14 @@ if(NETGRAPH_CORE_TSAN) # as the TSan documentation advises (the Debug build type adds -g); the instrumented # suites at -O0 would be several times slower for no extra coverage. set(TSAN_FLAGS -fsanitize=thread -fno-omit-frame-pointer -O1) - set(TSAN_TARGETS netgraph_core _netgraph_core) - if(TARGET netgraph_core_tests) - # The test executables link the instrumented static library: same compile and link - # flags, so they carry the TSan runtime and their own accesses are instrumented too. - list(APPEND TSAN_TARGETS netgraph_core_tests netgraph_core_fault_tests) - endif() - foreach(tgt ${TSAN_TARGETS}) + # The test executables link the instrumented static library: same compile and link flags, so + # they carry the TSan runtime and their own accesses are instrumented too. + foreach(tgt ${NETGRAPH_CORE_PROJECT_TARGETS}) target_compile_options(${tgt} PRIVATE ${TSAN_FLAGS}) target_link_options(${tgt} PRIVATE ${TSAN_FLAGS}) endforeach() else() - message(WARNING "NETGRAPH_CORE_TSAN requires GCC or Clang") + message(FATAL_ERROR "NETGRAPH_CORE_TSAN requires GCC or Clang") endif() endif() diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 6cd3577..79fed30 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -9,7 +9,7 @@ NetGraph-Core is a hybrid C++/Python project. You will need: - Python 3.11+ - C++20 compatible compiler (GCC 10+, Clang 12+, MSVC 2019+) - CMake 3.23+ -- Ninja (recommended) +- Ninja (the C++ test runner uses it; `make dev` installs CMake and Ninja into the venv) ### 1. Clone the repository @@ -37,7 +37,11 @@ This will: ### Running Tests -Run all checks (linting + C++ tests + Python tests): +Run all checks: rebuild the editable extension, then lint (ruff, pyright), the check that the +policy fixture data still equals its frozen reference (`tests/reference/policy/README.md`), the +C++ tests with and without the private test hooks, and the Python tests. It only verifies and +never edits a file; `make check-ci` is the same without the rebuild (CI installs the package +itself): ```bash make check @@ -46,8 +50,12 @@ make check Run specific test suites: ```bash -make cpp-test # C++ tests (GoogleTest) -make test # Python tests (pytest) +make cpp-test # C++ tests (GoogleTest), private hooks on +make cpp-test-off # C++ tests without the hooks (the shipped configuration) +make test # Python tests (pytest) +make sanitize-test # C++ tests under ASan/UBSan (required for C++ changes) +make tsan-test # C++ tests under ThreadSanitizer (required for C++ changes) +make cov # Coverage of the C++ and Python suites (its own venv and builds) ``` ### Code Style @@ -55,26 +63,43 @@ make test # Python tests (pytest) - **Python**: We use `ruff` for linting and formatting, and `pyright` for static type checking. - **C++**: We follow standard C++20 practices. -Auto-fix Python formatting: +Apply fixes (these edit files): ```bash -make format +make format # ruff formatting +make hooks # every pre-commit hook, including ruff --fix and whitespace fixers ``` +The commit hook and `make hooks` run Pyright as `make lint` does, from the `make dev` venv: it +needs the built extension to resolve the package's imports. + +### Type Stub + +`python/netgraph_core/__init__.pyi` is generated from the compiled module. After changing a +binding's signature or docstring, run `bash dev/stubs/run.sh generate` and commit the stub; +`make stubs-check` (also in CI) fails when the stub drifts or the typed client checks fail. + +### Behaviour Documentation + +[docs/semantics.md](docs/semantics.md) is the maintained statement of what the library computes. +A change to observable behaviour (a result, an order, an outcome, an error, a default) updates it +in the same change, and its examples must still print what the document shows: +`tests/py/test_docs_examples.py` runs them, and README's quick start, in the Python tests. + ## Release Process Releases are automated via GitHub Actions when a new tag is pushed. 1. Move the pending notes into a new `## [X.Y.Z] - YYYY-MM-DD` section in `CHANGELOG.md`, dated the day you tag. Mark anything that breaks consumers as **BREAKING**. -2. Bump `version` in `pyproject.toml` to the same `X.Y.Z`. CI does not cross-check the - tag against this value, so a mismatch publishes the wrong version silently. +2. Bump `version` in `pyproject.toml` to the same `X.Y.Z`. Release CI compares the tag + with this value and refuses to publish on a mismatch. 3. Commit and push. 4. Create and push a matching tag: ```bash - git tag v0.8.0 - git push origin v0.8.0 + git tag vX.Y.Z + git push origin vX.Y.Z ``` 5. The CI pipeline builds wheels and the sdist, tests them, and publishes to PyPI via diff --git a/Makefile b/Makefile index 01d4074..4488bdf 100644 --- a/Makefile +++ b/Makefile @@ -1,14 +1,14 @@ # NetGraph-Core Development Makefile -.PHONY: help venv clean-venv dev install install-native install-pgo check check-ci lint format test qt build clean check-dist publish-test publish info hooks check-python cpp-test cov sanitize-test tsan-test rebuild +.PHONY: help venv clean-venv dev install install-native check check-ci lint format test build clean check-dist publish-test publish info hooks check-python cpp-test cpp-test-off cov sanitize-test tsan-test stubs-check rebuild .DEFAULT_GOAL := help # -------------------------------------------------------------------------- # Python interpreter detection # -------------------------------------------------------------------------- -# VENV_BIN: path to local virtualenv bin directory -VENV_BIN := $(PWD)/venv/bin +# VENV_BIN: the checkout's virtualenv bin directory (CURDIR is the directory make runs in, -C included) +VENV_BIN := $(CURDIR)/venv/bin # PY_BEST: scan for newest supported Python (used when creating new venvs) # Supports 3.11-3.14 to match requires-python >=3.11 @@ -41,23 +41,26 @@ help: @echo "Setup & Installation:" @echo " make venv - Create a local virtualenv (./venv)" @echo " make dev - Full development environment (package + dev deps + hooks)" - @echo " make install - Install package (default optimizations: LTO, loop unrolling)" + @echo " make install - Install package (editable, private hooks; LTO, loop unrolling)" @echo " make install-native - Install with CPU-specific optimizations (faster, not portable)" - @echo " make install-pgo - Profile-guided optimization (two-phase build, experimental)" @echo " make clean-venv - Remove virtual environment" @echo " make rebuild - Clean and rebuild (respects CMAKE_ARGS)" @echo "" @echo "Code Quality & Testing:" - @echo " make check - Run pre-commit (auto-fix) + C++/Python tests, then lint" - @echo " make check-ci - Run non-mutating lint + tests (CI entrypoint)" + @echo " make check - Rebuild the editable extension, then everything check-ci runs" + @echo " make check-ci - Lint, fixture data check, C++ tests (hooks on and off), Python tests" + @echo " (the CI entrypoint)" + @echo " (check and check-ci only verify: they never edit a file)" @echo " make lint - Run only linting (non-mutating: ruff + pyright)" - @echo " make format - Auto-format code with ruff" + @echo " make format - Auto-format code with ruff (edits files)" @echo " make test - Run Python tests (pytest)" - @echo " make qt - Run quick tests only (exclude slow/benchmark)" - @echo " make cpp-test - Build and run C++ tests" - @echo " make cov - Coverage summary + XML + single-page combined HTML" + @echo " make cpp-test - Build and run C++ tests (private hooks on)" + @echo " make cpp-test-off - Build and run C++ tests without the hooks (the shipped configuration)" + @echo " make cov - Coverage (own venv and builds) + XML + single-page combined HTML" @echo " make sanitize-test - Build and run C++ tests with sanitizers" @echo " make tsan-test - Build and run C++ tests with ThreadSanitizer" + @echo " make stubs-check - Type stub: drift, wheel/sdist contents, typed clients (own venvs)" + @echo " (regenerate the stub: bash dev/stubs/run.sh generate)" @echo "" @echo "Build & Package:" @echo " make build - Build distribution packages" @@ -68,7 +71,7 @@ help: @echo "" @echo "Utilities:" @echo " make info - Show project information" - @echo " make hooks - Run pre-commit on all files" + @echo " make hooks - Run pre-commit on all files (applies its fixes)" @echo " make check-python - Check if venv Python matches best available" # Allow callers to pass CMAKE_ARGS and MACOSX_DEPLOYMENT_TARGET consistently @@ -121,48 +124,33 @@ install: @echo "📦 Installing package (editable, default optimizations)" @$(DEV_ENV) $(PIP) install -e . +# The project options are stated in pyproject.toml for every build; a variant overrides one of them +# with -C (a config setting), so it cannot stay in the shared build directory's cache. install-native: @echo "📦 Installing with native CPU optimizations (-march=native)" @echo " Note: Binary will only work on this CPU architecture" - @$(ENV_MACOS) $(ENV_CC) $(ENV_CXX) CMAKE_ARGS="$(strip $(CMAKE_ARGS) -DNETGRAPH_CORE_NATIVE=ON)" $(PIP) install -e . - -# PGO profile stored outside build/ so it survives rebuild -PGO_DIR := $(PWD)/.pgo-profile - -install-pgo: - @echo "📦 PGO Build Phase 1/3: Instrumenting..." - @rm -rf build/ $(PGO_DIR) - @mkdir -p $(PGO_DIR) - @$(ENV_MACOS) $(ENV_CC) $(ENV_CXX) CMAKE_ARGS="$(strip $(CMAKE_ARGS) -DNETGRAPH_CORE_PGO_GENERATE=ON -DNETGRAPH_CORE_PGO_DIR=$(PGO_DIR) -DNETGRAPH_CORE_NATIVE=ON)" $(PIP) install -e . - @echo "📦 PGO Build Phase 2/3: Collecting profile (running the Python test suite)..." - @$(PYTEST) -q tests/py >/dev/null 2>&1 - @# Clang: merge raw profiles into .profdata (profile may be in cwd or PGO_DIR) - @if ls $(PGO_DIR)/*.profraw >/dev/null 2>&1; then \ - echo " Merging Clang profile data..."; \ - xcrun llvm-profdata merge -output=$(PGO_DIR)/default.profdata $(PGO_DIR)/*.profraw 2>/dev/null || \ - llvm-profdata merge -output=$(PGO_DIR)/default.profdata $(PGO_DIR)/*.profraw; \ - elif ls *.profraw >/dev/null 2>&1; then \ - mv *.profraw $(PGO_DIR)/; \ - xcrun llvm-profdata merge -output=$(PGO_DIR)/default.profdata $(PGO_DIR)/*.profraw 2>/dev/null || \ - llvm-profdata merge -output=$(PGO_DIR)/default.profdata $(PGO_DIR)/*.profraw; \ - fi - @echo "📦 PGO Build Phase 3/3: Rebuilding with profile data..." - @rm -rf build/ - @$(ENV_MACOS) $(ENV_CC) $(ENV_CXX) CMAKE_ARGS="$(strip $(CMAKE_ARGS) -DNETGRAPH_CORE_PGO_USE=ON -DNETGRAPH_CORE_PGO_DIR=$(PGO_DIR) -DNETGRAPH_CORE_NATIVE=ON)" $(PIP) install -e . - @echo "✅ PGO build complete" + @$(DEV_ENV) $(PIP) install -e . -C cmake.define.NETGRAPH_CORE_NATIVE=ON +# Verification only: neither target edits a file (make format and make hooks apply fixes). check: - @PYTHON=$(PYTHON) bash dev/run-checks.sh + @$(MAKE) install + @$(MAKE) check-ci +# The fixture data check: tests/data/policy_fixtures.json still equals what its frozen reference +# computes (tests/reference/policy/README.md; standard library only; -B writes no __pycache__). check-ci: @$(MAKE) lint + @$(PYTHON) -I -B tests/reference/policy/export_policy_fixtures.py --check @$(MAKE) cpp-test - @$(MAKE) test + @$(MAKE) cpp-test-off + @PYTHON=$(PYTHON) bash dev/run-checks.sh pytest on +# Pyright resolves imports (NumPy in the type stub, the extension) through the interpreter it +# is given; without --pythonpath it would take whichever python3 comes first on PATH. lint: @$(RUFF) format --check . @$(RUFF) check . - @$(PYTHON) -m pyright + @$(PYTHON) -m pyright --pythonpath "$$($(PYTHON) -c 'import sys; print(sys.executable)')" format: @$(RUFF) format . @@ -170,9 +158,6 @@ format: test: @$(PYTEST) -qt: - @$(PYTEST) --no-cov -m "not slow and not benchmark" - build: @echo "🏗️ Building distribution packages..." @if $(PYTHON) -c "import build" >/dev/null 2>&1; then \ @@ -212,8 +197,7 @@ publish: clean: @echo "🧹 Cleaning build artifacts and cache files..." @rm -rf build/ dist/ *.egg-info/ || true - @rm -rf .pytest_cache .ruff_cache .mypy_cache htmlcov htmlcov-python .coverage coverage.xml coverage-*.xml .benchmarks .pytest-benchmark || true - @rm -rf Testing CTestTestfile.cmake || true + @rm -rf .pytest_cache .ruff_cache || true @find . -path "./venv" -prune -o -type f -name "*.pyc" -delete 2>/dev/null || true @find . -path "./venv" -prune -o -type d -name "__pycache__" -exec rm -rf {} + 2>/dev/null || true @find . -path "./venv" -prune -o -type f -name "*.pyo" -delete 2>/dev/null || true @@ -247,34 +231,13 @@ hooks: cpp-test: @PATH="$(VENV_BIN):$$PATH" bash dev/cpp-tests.sh release +cpp-test-off: + @PATH="$(VENV_BIN):$$PATH" bash dev/cpp-tests.sh off + +# The summary script's own rules first (its refusals make a failed measurement fail; no build). cov: - @echo "📦 Reinstalling with C++ coverage instrumentation..." - @$(PIP) install -U scikit-build-core "pybind11>=2.11" - @PIP_NO_BUILD_ISOLATION=1 CMAKE_ARGS="-DNETGRAPH_CORE_COVERAGE=ON" $(PIP) install -e .'[dev]' - @echo "🧪 Running Python tests with coverage..." - @mkdir -p build/coverage - @$(PYTEST) --cov=netgraph_core --cov-report=term-missing --cov-report=xml:build/coverage/coverage-python.xml - @echo "🛠️ Building and running C++ tests with coverage..." - @BUILD_DIR="build/cpp-tests-cov"; \ - mkdir -p "$$BUILD_DIR"; \ - GEN_ARGS=""; \ - if command -v ninja >/dev/null 2>&1; then GEN_ARGS="-G Ninja"; fi; \ - cmake -S . -B "$$BUILD_DIR" -DNETGRAPH_CORE_BUILD_TESTS=ON -DNETGRAPH_CORE_PRIVATE_HOOKS=ON -DNETGRAPH_CORE_COVERAGE=ON -DCMAKE_BUILD_TYPE=Debug $$GEN_ARGS; \ - cmake --build "$$BUILD_DIR" --config Debug -j; \ - ctest --test-dir "$$BUILD_DIR" --output-on-failure || echo "⚠️ Some C++ tests failed (continuing for coverage)" - @echo "📈 Generating C++ coverage XML (gcovr)..." - @$(PYTHON) -m gcovr --root . \ - --object-directory build \ - --object-directory build/cpp-tests-cov \ - --filter 'include/netgraph' --filter 'src' --exclude 'tests' --exclude 'bindings/.*' --exclude '.*pybind11.*' --exclude '_deps/pybind11-src/.*' \ - --gcov-ignore-errors=all \ - --gcov-ignore-parse-errors=negative_hits.warn_once_per_file \ - --xml-pretty -o build/coverage/coverage-cpp.xml - @echo "" - @echo "================ Python + C++ coverage (summary) ================" - @$(PYTHON) dev/coverage_summary.py build/coverage/coverage-python.xml build/coverage/coverage-cpp.xml --html=build/coverage/coverage-combined.html - @echo "" - @echo "✅ Coverage ready in build/coverage/: coverage-python.xml, coverage-cpp.xml, coverage-combined.html" + @$(PYTHON) -I -B dev/test_coverage_summary.py + @PYTHON=$(PYTHON) bash dev/run-checks.sh cov sanitize-test: @PATH="$(VENV_BIN):$$PATH" bash dev/cpp-tests.sh sanitize @@ -282,6 +245,9 @@ sanitize-test: tsan-test: @PATH="$(VENV_BIN):$$PATH" bash dev/cpp-tests.sh tsan +stubs-check: + @PYTHON=$(PYTHON) bash dev/stubs/run.sh check + # Clean + reinstall in dev mode (respects CMAKE_ARGS and MACOSX_DEPLOYMENT_TARGET) # Uses active PYTHON (venv or PATH) to avoid environment mismatches rebuild: clean diff --git a/README.md b/README.md index 4cb505a..2f6faf3 100644 --- a/README.md +++ b/README.md @@ -2,47 +2,58 @@ C++ graph engine for network flow analysis, traffic engineering simulation, and capacity planning. -> **Streamline in progress.** The `streamline` branch rebuilds Core. This build carries the -> graph on integer units, the minimum-cost flow core, the route structures (`PredDAG`, `Path`), -> the integer ledger `FlowLedger` with the placement kernels, the policy engine `FlowPolicy`, the -> `DagCache` (building mode) and the evaluators `capacity`, `batch_capacity` and `sensitivity`. -> The public search API (shortest paths, k shortest paths, path resolution) and the frozen cache -> are not part of it yet. The previous API (0.11 and earlier) is in git history and on PyPI. +> **Unreleased, breaking.** This version replaces the 0.11 API (see the Unreleased section of +> [CHANGELOG.md](CHANGELOG.md)): the graph on integer units, the minimum-cost flow core, the route +> structures (`PredDAG`, `Path`), the integer ledger `FlowLedger` with the placement kernels, the +> policy engine `FlowPolicy`, the searches (`spf`, `ksp`, `resolve_to_paths`), the `DagCache` in +> building and frozen modes, and the evaluators `capacity`, `batch_capacity` and `sensitivity`. +> The previous API (0.11 and earlier) is in git history and on PyPI. ## Overview - **Exact integer amounts**: a graph carries an explicit resolution `q` (a power of two in `[2^-32, 2^32]`); capacities and flows are `int64` units of `q`. Physical values enter only through `to_units` (round half up) and leave through `as_float`. -- **Positive costs**: edge costs are integers `>= 1`, so the shortest-path DAG is unique. -- **Stable edge ids**: the public `EdgeId` is the rank of an edge in the order - `(src, cost, dst, input)`; `input_index()` maps ids back to input positions. -- **One flow core**: an integer minimum-cost flow (successive shortest paths with potentials, - Dinic phases per cost tier) returning the flow value, the marginal cost curve, per-edge - flows, the residual minimum cut and the dual potentials. +- **Positive costs**: edge costs are integers `>= 1`, so the shortest-path DAG (every edge on + some shortest path) has no cycle and does not depend on search order or tie rules. +- **Stable edge ids**: edges are numbered by sorting on `(src, cost, dst)`, ties kept in input + order; that number is the public `EdgeId`, and `input_index()` maps it back to the input position. +- **One flow core**: an exact integer minimum-cost flow solver (the most traffic, sent as cheaply + as possible). It returns the flow value, the marginal cost curve (the extra minimum total cost + per additional delivered unit, as `(cost, units)` segments), the flow on every edge, a minimum + cut (the full edges that separate the sources from the destinations) and the node potentials + (per-node prices that prove the flow is cheapest). It works one cost level at a time: shortest + paths with potentials find the next cheapest cost, then Dinic phases fill every path of that + cost. ## Core Features +The exact behaviour of every call (units and rounding, edge ids, which route a search returns, +how the kernels split traffic, outcomes and flags, failures, the cache and the evaluators) is +specified in [docs/semantics.md](docs/semantics.md). + ### Graph - **`Graph(num_nodes, src, dst, capacity_units, cost, resolution)`**: immutable - directed multigraph with forward and reverse CSR adjacency; parallel edges and self-loops are - allowed. Validation reports the first defect in a fixed order (the resolution, the unit + directed multigraph that stores each node's out-edges and in-edges as arrays; parallel edges and + self-loops are allowed. Validation reports the first defect in a fixed order (the resolution, the unit values, the shapes, zero or negative costs, the remaining bounds). Accessors (`capacity_units()`, `cost()`, `edge_src()`, `edge_dst()`, `input_index()`, `row_offsets()`, `in_row_offsets()`, `in_adj_edge_index()`) return read-only NumPy views that keep the graph alive. -- **`Eligibility`**: immutable, graph-bound static eligibility built by +- **`Eligibility`**: which nodes and edges of one graph may be used (immutable), built by `graph.eligibility(excluded_nodes, excluded_edges)`; `Eligibility.intersect(a, b)` returns an operand when the result equals it, otherwise a new value. ### Route structures -- **`PredDAG`**: immutable, graph-bound predecessor DAG, stored over its member nodes and - presented in CSR form (`parent_offsets()` built on demand, `parents()`, `via_edges()`), - entries in ascending via EdgeId within a node. +- **`PredDAG`**: the route structure a search returns, a predecessor DAG (directed, no cycle): + for each node, the edges that reach it on the route and the node each comes from. `parents()` + and `via_edges()` list these entries, in ascending EdgeId within a node; `parent_offsets()` + (built on each call) says where each node's entries start. `PredDAG.from_csr(graph, offsets, parents, via)` validates the shape, the ranges and endpoints, duplicates, acyclicity and the canonical order before accepting a DAG. -- **`Path(graph, hops)`**: an explicit walk whose hops may hold several parallel members; +- **`Path(graph, hops)`**: a route given hop by hop, where a hop may hold several parallel edges + between the same two nodes; `cost()` is the sum over hops of the minimum member cost and `to_dag()` gives the equivalent `PredDAG`. - **`PathSelection(tie_break, priority, multipath=True, multi_edge=True)`** with @@ -50,92 +61,110 @@ C++ graph engine for network flow analysis, traffic engineering simulation, and ### Ledger and kernels -- **`FlowLedger(graph, residual=None)`**: the integer ledger of one graph: an immutable baseline - in units and the records (`FlowRecord`: flow id, owner, endpoints, placement, admission, - bundle, route cost, offered, delivered, per-edge allocation and drops) of the flows placed on - it. `allocated()` is the exact sum of the records and `residual()` the baseline minus it; - `bottleneck(sources)` lists the saturated frontier; `reset()` and `copy()` follow the lifetime - rules (rejected while a policy is bound). The ledger is mutated only through policies. -- **Kernels** (`FlowPlacement`: `MAX_FLOW`, `WEIGHTED`, `EQUAL_BALANCED`; `Admission`: - `LOSSLESS`, `LOSSY`): MaxFlow is the flow core on the flow's DAG (a replacement on its own - allocation plus the residual), Weighted splits by highest averages over weights frozen at - creation, EqualBalanced by round robin; Lossy forwards hop by hop and records drops. +- **`FlowLedger(graph, residual=None)`**: the integer ledger of one graph: a baseline + in units (replaced by `reset()`) and the records (`FlowRecord`: flow id, owner, endpoints, + placement, admission, bundle, route cost, offered, delivered, per-edge allocation and drops) + of the flows placed on it. `allocated()` is the exact sum of the records and `residual()` + the baseline minus it; `bottleneck(sources)` lists the full edges leaving the set of nodes + the sources can still reach. `reset()` and `copy()` are rejected while a policy is bound + to the ledger. Policies place and remove flows; `reset()` replaces an unbound ledger's + baseline and clears its records. +- **Kernels**, the rules that spread one flow over its route (`FlowPlacement`: `MAX_FLOW`, + `WEIGHTED`, `EQUAL_BALANCED`; `Admission`: `LOSSLESS`, `LOSSY`): `MAX_FLOW` re-solves the flow + with the flow core on its DAG, over the free capacity plus its own allocation; `WEIGHTED` splits + at every node in proportion to weights fixed when the flow is created (highest averages: + whole-unit shares as close to proportional as possible); `EQUAL_BALANCED` splits equally (round + robin); `LOSSY` forwards hop by hop and records what it drops. ### Policies -- **`FlowPolicy(ledger, sources, destinations, config, elig=None, cache=None)`**: the one - placement engine, bound to its ledger. `FlowPolicyConfig(routing=..., placement=..., - admission=..., selection=...)` has four explicit axes; the routing is `CostOnly()` (static - shortest paths), `CapacityAware(flow_count=1, max_flow_count=None, max_path_cost=None, - min_flow_bandwidth=0, reoptimize=False, diminishing=None)` (residual-aware searches with an - `Absolute` or `Stretch` cost ceiling, a `DiminishingReturns(window, fraction)` guard, and at - most `MAX_FLOWS_PER_CALL` (10,000) creations per call), `Global()` (the minimum-cost flow of the policy's - sources to its destinations on the residual plus its own allocation) or `Pinned(bundles)` - (fixed `PredDAG`s). -- **`place(volume, outputs=None)`** runs one transaction per call (per source for CostOnly and - CapacityAware, cumulative on Global) and returns a `PlacementResult` (`placed`, `remaining`, - `termination`, `local_outcomes`, `routes_changed`, `weights_changed`, `drops` and the - optional `cost_distribution` (Global) and, when requested through `OutputOptions`, `edge_flows`, - `residual`, `bottleneck` and, on Global with `OutputOptions(bottleneck=True)`, `min_cut`). +- **`FlowPolicy(ledger, sources, destinations, config, elig=None, cache=None)`**: the placement + engine for one demand, bound to its ledger. `FlowPolicyConfig(routing=..., placement=..., + admission=..., selection=...)` sets four independent choices, all explicit. The routing is one of: + - `CostOnly()`: static shortest paths, as routers forward with an IGP such as OSPF; + - `CapacityAware(flow_count=1, max_flow_count=None, max_path_cost=None, min_flow_bandwidth=0, + reoptimize=False, diminishing=None)`: tunnels that each search the free capacity (CSPF), with + an `Absolute` or `Stretch` cost ceiling, a `DiminishingReturns(window, fraction)` guard, and at + most `MAX_FLOWS_PER_CALL` (10,000) new flows per call; + - `Global()`: an ideal controller: the minimum-cost flow from all the policy's sources to its + destinations, on the free capacity plus its own allocation; + - `Pinned(bundles)`: fixed routes given as `PredDAG`s. +- **`place(volume, outputs=None)`** adds `volume` to the policy's request as one all-or-nothing + step (CostOnly and CapacityAware place source by source; Global re-solves what it already + delivers plus this request) and returns a `PlacementResult`: `placed`, `remaining`, `termination`, `local_outcomes`, + `routes_changed`, `weights_changed`, `drops`, `cost_distribution` (Global only), and, when + requested through `OutputOptions`, `edge_flows`, `residual`, `bottleneck` and (Global only) + `min_cut`. `remove()` reverts the policy's flows; `records()`, `record(flow_id)`, `placed_demand()` and `usable_bundles()` read its state. -- **Failure guarantee**: every public call is all-or-nothing up to its caller: a failure - anywhere (validation, allocation, a worker thread, the construction of the Python result) - leaves every ledger, policy, cache and scratch buffer as it was and raises one exception. - Two limits: the pybind11 object machinery is outside the guarantee (constructing a bound - object from Python, or a conversion into a new bound object or container outside the staged - calls, allocates through pybind11's `make_new_instance`, which does not check `tp_alloc`, so a - Python allocation failure there crashes the process, with Core state unchanged); and a - supplied building `DagCache` is a memo that keeps the complete entries and statistics of the - lookups that succeeded before a later failure of the call. +- **Failure guarantee**: every public call either completes or raises one exception and leaves + every ledger, policy, cache and scratch buffer as it was, whatever fails (validation, memory, a + worker thread, building the Python result). Two limits: pybind11 does not check every + allocation when it constructs a bound object from Python or converts a returned value into a + new Python object outside the library's checked result construction, so running out of memory + exactly there may crash the process (Core state stays unchanged); and a `DagCache` passed to the + call: a building cache keeps the complete entries and statistics of the lookups that succeeded + before the failure, and a frozen cache keeps its entries and statistics unchanged, except that a + call raising `DagCacheMiss` counts one miss + ([docs/semantics.md](docs/semantics.md#8-failures-threads-and-lifetimes)). ### Search `spf(graph, roots, SpfOptions(direction, selection, targets=None, residual=None, min_residual=1, elig=None))` searches from a root set, forward or reverse. - **Without targets:** it returns `costs` (`UNREACHABLE` for nodes not reached) and the full - DAG of tight edges, the edges that lie on some shortest path. + DAG of tight edges, the edges that lie on some shortest path (one per node pair with + `multi_edge=False`). - **With targets:** it stops at the nearest targets and returns `target_cost` and the DAG of the walks between the roots and the nearest targets (for a reverse search, from a target to a root). -- **With `multipath=False`:** it returns the canonical single path, the one walk that minimises - cost, then bottleneck, then hops, then edge ids. +- **With `multipath=False`:** it returns the canonical single path: the walk of lowest cost; + among those, under `PREFER_HIGHER_PRIORITY` only, the one of highest bottleneck (the smallest + priority value along the walk); then the fewest hops; then the lexicographically smallest + sequence of EdgeIds ([docs/semantics.md](docs/semantics.md#the-canonical-single-path)). +- **With `multi_edge=False`** (any search): each node pair is first reduced to one parallel + member (lowest cost, then under `PREFER_HIGHER_PRIORITY` the highest priority, then the lowest + EdgeId). `ksp(graph, src, dst, KspOptions(k, selection, max_path_cost=None, residual=None, elig=None))` -returns the K shortest simple paths as `(cost, Path)` pairs, in the contract's order and up to +returns the K shortest simple paths as `(cost, Path)` pairs, in the order of +[docs/semantics.md](docs/semantics.md#k-shortest-paths) and up to an inclusive cost ceiling. `resolve_to_paths(graph, dag, src, dst, split_parallel_edges=False, max_paths=None)` lists a DAG's walks as `Path` values. ### DagCache -`DagCache(graph)` keeps the static shortest-path supports that policies build, keyed by the -root set, the direction and the Eligibility. Values are immutable and shared, and `stats()` -reports hits, misses, entries, retained bytes and live values. -- **Building mode (new caches):** one writer; a miss searches and inserts. -- **Frozen mode (`freeze()`):** read-only and shared by every worker of an evaluator; a miss - raises `DagCacheMiss`. `thaw()` returns to building mode once every reader has finished. +`DagCache(graph)` keeps the static shortest-path DAGs (from costs and the Eligibility, not +traffic) that policies build, keyed by the root set, the direction and the Eligibility. Values +are immutable and shared, and `stats()` reports hits, misses, entries, retained bytes and live +values. +- **Building mode (new caches):** one writer; a miss searches and inserts. An evaluator given a + building cache runs on one worker (an explicit `workers` above 1 is rejected). +- **Frozen mode (`freeze()`):** read-only and shared by every worker of an evaluator (pass + `workers` explicitly; with a cache the default is 1); a miss raises `DagCacheMiss`. `thaw()` + returns to building mode once every reader has finished. ### Evaluators `capacity(graph, sources, destinations, CapacityOptions(config, elig=None, cache=None, -outputs=None))` is `place(+inf)` of a policy on a fresh ledger; Global with MaxFlow gives the +outputs=None))` is `place(+inf)` of a policy on a fresh ledger; Global with MAX_FLOW gives the exact maximum flow with its marginal cost curve, and its minimum cut with `outputs=OutputOptions(bottleneck=True)`. `batch_capacity(graph, pairs, opts, per_pair_elig=None, workers=None)` evaluates pairs in pair order (the lowest failing index raises). `sensitivity(graph, sources, destinations, SensitivityOptions(...), workers=None)` reports, for every candidate edge, the signed loss in placed units when the -edge is removed. The default worker counts come from `NGRAPH_CORE_BATCH_THREADS` and -`NGRAPH_CORE_SENSITIVITY_THREADS`. +edge is removed. With `workers=None` the worker count is 1 when a cache is supplied, otherwise +it comes from `NGRAPH_CORE_BATCH_THREADS` and `NGRAPH_CORE_SENSITIVITY_THREADS`. ### Flow core -One native integer minimum-cost flow core serves Global routing, the MaxFlow kernel and the -evaluators: the minimum-cost flow of the maximum value attainable under a cap from a source set -to a destination set over the eligible edges, starting from zero flow; the exact sensitivity -model re-solves each deletion from the baseline solve's final state. Its private Python entry +One native integer minimum-cost flow core serves Global routing, the MAX_FLOW kernel and the +evaluators: the largest flow up to a cap from a source set to a destination set over the eligible +edges, sent at the lowest total cost, starting from zero flow. For sensitivity it repairs the +baseline's solution for each removed edge instead of solving again. Its private Python entry `_netgraph_core._place_global_units(graph, view, sources, destinations, elig, cap)` returns the payload `{placed, cost_distribution, edge_flows, min_cut, potentials, counters}` for the -equivalence recorder and the oracle checks. +flow checks of the test suites. ## Quick Start @@ -164,12 +193,15 @@ print(result.cost_distribution) # [(2, 40960), (4, 20480)] pip install netgraph-core ``` -Or from source: +Or from source (the shipped configuration; `pip install -e .` is the editable development build, +which carries the private test hooks): ```bash -pip install -e . +pip install . ``` +The package is typed: it ships `py.typed` and a type stub generated from the compiled module. + ### Build Optimizations Default builds include LTO and loop unrolling. For local development: @@ -187,24 +219,26 @@ bindings/python/ # pybind11 bindings python/netgraph_core/ # Python package tests/cpp/ # C++ tests (googletest) tests/py/ # Python tests (pytest) -dev/ # Developer scripts (not shipped): checks, coverage, -dev/perf/ # performance tooling and recorded A/B/A results, -dev/research/ # research prototypes and their evidence +dev/ # Developer scripts (not shipped): checks and coverage ``` ## Development ```bash -make dev # Setup: venv, dependencies, pre-commit hooks -make check # Run all tests and linting (auto-fix formatting) -make check-ci # Strict checks without auto-fix (for CI) -make test # Python tests -make cpp-test # C++ tests only -make cov # Combined coverage report (C++ + Python) +make dev # Setup: venv, dependencies, pre-commit hooks +make check # Rebuild the editable extension, then everything check-ci runs +make check-ci # Lint, types, C++ tests (hooks on and off), Python tests (CI entrypoint) +make test # Python tests +make cpp-test # C++ tests (private hooks on) +make cpp-test-off # C++ tests without the hooks (the shipped configuration) +make sanitize-test # C++ tests under ASan/UBSan +make tsan-test # C++ tests under ThreadSanitizer +make cov # Combined coverage report (C++ + Python; its own venv and builds) +make stubs-check # The generated type stub: drift, package contents, typed clients +make format # Apply ruff formatting (make hooks runs every pre-commit fixer) ``` -Performance work (harnesses, old/new/old protocol, recorded measurements) is -described in [dev/perf/README.md](dev/perf/README.md). +`make check` and `make check-ci` only verify; they never edit a file. The editable development build (`make install`, `make dev`) carries the private test hooks (CMake option `NETGRAPH_CORE_PRIVATE_HOOKS`; a wheel build does not); the test suites skip the @@ -214,7 +248,7 @@ tests that need them when they are absent. | Variable | Effect | | --- | --- | -| `NGRAPH_CORE_BATCH_THREADS` | Default worker count of `batch_capacity` (an integer in [1, 4096]; 1 when unset or invalid; an explicit `workers` wins). | +| `NGRAPH_CORE_BATCH_THREADS` | Default worker count of `batch_capacity` (an integer in [1, 4096]; 1 when unset or invalid; not read when a cache is supplied, which defaults to 1; an explicit `workers` wins). | | `NGRAPH_CORE_SENSITIVITY_THREADS` | Default worker count of `sensitivity` (as above). | ## Requirements diff --git a/bindings/python/axes.cpp b/bindings/python/axes.cpp new file mode 100644 index 0000000..ca26f56 --- /dev/null +++ b/bindings/python/axes.cpp @@ -0,0 +1,89 @@ +// The enumerations of the placement and selection axes, and PathSelection. +#include + +#include + +#include "netgraph/core/options.hpp" + +#include "registration.hpp" + +namespace py = pybind11; + +namespace netgraph::core::bindings { + +void register_axes(py::module_& m) { + py::enum_(m, "FlowPlacement", + "How one flow spreads over its route (its kernel). MAX_FLOW: the minimum-cost flow core, re-solved\n" + "on the flow's route over the free capacity plus the flow's own allocation (it may move its own\n" + "earlier placement, never another flow's). WEIGHTED (WCMP, weighted-cost multipath): every node\n" + "splits in proportion to weights fixed when the flow is created (highest averages: whole-unit\n" + "shares as close to proportional as possible). EQUAL_BALANCED (ECMP, equal-cost multipath): every\n" + "node splits equally, by round robin.") + .value("MAX_FLOW", FlowPlacement::MaxFlow) + .value("WEIGHTED", FlowPlacement::Weighted) + .value("EQUAL_BALANCED", FlowPlacement::EqualBalanced); + + py::enum_(m, "Admission", + "LOSSLESS admits only what fits; LOSSY forwards hop by hop without admission control and\n" + "drops what does not fit on each edge (EQUAL_BALANCED and WEIGHTED only).") + .value("LOSSLESS", Admission::Lossless) + .value("LOSSY", Admission::Lossy); + + py::enum_(m, "EdgeTieBreak", + "How a search breaks cost ties. Between parallel members of one (u, v) pair\n" + "(multi_edge = False): DETERMINISTIC keeps the lowest EdgeId, PREFER_HIGHER_PRIORITY the\n" + "higher priority value, then the lowest EdgeId. Between equal-cost walks (multipath =\n" + "False): PREFER_HIGHER_PRIORITY first takes the highest bottleneck (the smallest priority\n" + "value along the walk), DETERMINISTIC skips that step; then the fewest hops, then the\n" + "lexicographically smallest EdgeId sequence.") + .value("DETERMINISTIC", EdgeTieBreak::Deterministic) + .value("PREFER_HIGHER_PRIORITY", EdgeTieBreak::PreferHigherPriority); + + py::enum_(m, "EdgePriority", + "The per-edge value PREFER_HIGHER_PRIORITY reads and, with WEIGHTED, the value that decides which\n" + "edges a flow uses and their weights: RESIDUAL (residual units), CAPACITY (static capacity units),\n" + "HEADROOM (residual / capacity, compared exactly as a fraction; rejected with WEIGHTED).") + .value("RESIDUAL", EdgePriority::Residual) + .value("CAPACITY", EdgePriority::Capacity) + .value("HEADROOM", EdgePriority::Headroom); + + py::enum_(m, "Direction", + "The orientation of a search: FORWARD from the roots along the edges, or REVERSE toward the roots\n" + "against the edges (the DAG it returns keeps the edges' own direction, so its walks lead to the\n" + "roots).") + .value("FORWARD", Direction::Forward) + .value("REVERSE", Direction::Reverse); + + py::class_(m, "PathSelection", + "The selection of a search: tie_break and priority are explicit; multipath = True keeps\n" + "every equal-cost walk (the DAG), False the one canonical single path; multi_edge = True\n" + "keeps every eligible parallel member, False one per (u, v) pair. A tie_break or priority\n" + "outside its enumeration raises ValueError.") + // The constructor checks both enumerations (ValueError naming the field). + .def(py::init(), py::arg("tie_break"), py::arg("priority"), + py::arg("multipath") = true, py::arg("multi_edge") = true) + .def_readonly("tie_break", &PathSelection::tie_break, "the EdgeTieBreak") + .def_readonly("priority", &PathSelection::priority, "the EdgePriority") + .def_readonly("multipath", &PathSelection::multipath, + "True: every equal-cost walk (a DAG); False: the canonical single path") + .def_readonly("multi_edge", &PathSelection::multi_edge, + "True: every eligible parallel member; False: one member per (u, v) pair") + .def("__eq__", [](const PathSelection& a, const py::object& b) { + return py::isinstance(b) && a == b.cast(); + }) + .def("__hash__", [](const PathSelection& a) { + return py::hash(py::make_tuple(static_cast(a.tie_break), static_cast(a.priority), a.multipath, + a.multi_edge)); + }) + .def("__repr__", [](const PathSelection& a) { + return std::string("PathSelection(tie_break=") + + (a.tie_break == EdgeTieBreak::Deterministic ? "DETERMINISTIC" : "PREFER_HIGHER_PRIORITY") + + ", priority=" + + (a.priority == EdgePriority::Residual ? "RESIDUAL" + : (a.priority == EdgePriority::Capacity ? "CAPACITY" : "HEADROOM")) + + ", multipath=" + (a.multipath ? "True" : "False") + ", multi_edge=" + (a.multi_edge ? "True" : "False") + + ")"; + }); +} + +} // namespace netgraph::core::bindings diff --git a/bindings/python/dag_cache.cpp b/bindings/python/dag_cache.cpp new file mode 100644 index 0000000..1e5252b --- /dev/null +++ b/bindings/python/dag_cache.cpp @@ -0,0 +1,60 @@ +// DagCacheStats, DagCacheMiss and DagCache: the cache of static shortest-path DAGs. +#include +#include +#include + +#include + +#include "netgraph/core/dag_cache.hpp" +#include "netgraph/core/graph.hpp" +#include "registration.hpp" + +namespace py = pybind11; + +namespace netgraph::core::bindings { + +void register_dag_cache(py::module_& m) { + py::class_(m, "DagCacheStats", + "DagCache statistics (atomic per field, not a consistent snapshot): hits, misses,\n" + "entries, bytes (the entries' retained payload), live_values (values alive anywhere).") + .def_readonly("hits", &DagCache::Stats::hits, "lookups answered from an entry (they persist across clear())") + .def_readonly("misses", &DagCache::Stats::misses, + "lookups without an entry: a building cache searched, a frozen one raised DagCacheMiss") + .def_readonly("entries", &DagCache::Stats::entries, "the entries held") + .def_readonly("bytes", &DagCache::Stats::bytes, "the retained payload of the entries (their DAGs' stored arrays)") + .def_readonly("live_values", &DagCache::Stats::live_values, "the cached values alive anywhere, entries included"); + + py::register_exception(m, "DagCacheMiss", PyExc_Exception); + m.attr("DagCacheMiss").attr("__doc__") = + "A lookup in a frozen DagCache whose key is absent: a dedicated exception (not a\n" + "RuntimeError or ValueError); the evaluators propagate it unchanged."; + + py::class_>( + m, "DagCache", + "A cache of static shortest-path DAGs (from costs and the Eligibility only) for one graph, keyed by\n" + "(the root set, the direction, the Eligibility uid). It stores the full DAG and applies each\n" + "caller's selection afterwards, so the selection is never cached. CostOnly policies and the\n" + "evaluators read it.\n" + "Building mode (a new cache): one writer, no concurrent readers; a miss searches and inserts;\n" + "clear() empties it (the hit and miss counters persist), and values already handed out stay valid.\n" + "Frozen mode (freeze()): read-only and shareable by every worker; a miss counts one miss and raises\n" + "DagCacheMiss; clear() raises ValueError; thaw() returns to building once the caller has joined\n" + "every reader.\n" + "When a public call fails: a building cache passed to it keeps the complete entries and statistics\n" + "of the lookups that succeeded before the failure (never a partial entry; a kept entry never\n" + "changes a result); a frozen cache's statistics stay unchanged, except one miss when the call\n" + "raised DagCacheMiss. A frozen cache counts its hits only when the call succeeds, Python result\n" + "included.") + .def(py::init([](const std::shared_ptr& graph) { + if (!graph) throw py::value_error("graph must be a Graph"); + return std::make_shared(*graph); + }), + py::arg("graph"), "An empty cache in building mode, bound to graph (by its uid).") + .def("graph_uid", &DagCache::graph_uid, "uid of the graph this cache is bound to") + .def("freeze", &DagCache::freeze, "enter frozen mode (no effect when frozen)") + .def("thaw", &DagCache::thaw, "return to building mode (no effect when building); join every reader first") + .def("clear", &DagCache::clear, "empty a building cache; ValueError when frozen") + .def("stats", &DagCache::stats, "the current DagCacheStats (each field read atomically)"); +} + +} // namespace netgraph::core::bindings diff --git a/bindings/python/eligibility.cpp b/bindings/python/eligibility.cpp new file mode 100644 index 0000000..bcb96b7 --- /dev/null +++ b/bindings/python/eligibility.cpp @@ -0,0 +1,54 @@ +// Eligibility: the static node and edge flags of one graph. +#include +#include +#include + +#include +#include + +#include "netgraph/core/eligibility.hpp" +#include "values.hpp" +#include "registration.hpp" + +namespace py = pybind11; + +namespace netgraph::core::bindings { + +void register_eligibility(py::module_& m) { + py::class_>( + m, "Eligibility", + "Which nodes and edges of one graph may be used: one flag per node and per edge, fixed when built\n" + "(it does not depend on traffic). Built by Graph.eligibility(excluded_nodes, excluded_edges) and\n" + "Eligibility.intersect.") + .def("graph_uid", &Eligibility::graph_uid, "uid of the graph this value belongs to") + .def("uid", &Eligibility::uid, "0 for the all-allowed value, a fresh uid otherwise") + .def( + "node_allowed", + [](const py::object& self) { + const auto& el = self.cast(); + return readonly_view(el.node_allowed(), self, py::dtype("bool")); + }, + "bool[N] read-only view") + .def( + "edge_allowed", + [](const py::object& self) { + const auto& el = self.cast(); + return readonly_view(el.edge_allowed(), self, py::dtype("bool")); + }, + "bool[E] read-only view (not excluded and both endpoints allowed)") + .def_static( + "intersect", + [](const std::shared_ptr& a, const std::shared_ptr& b) -> std::shared_ptr { + if (!a || !b) throw py::value_error("Eligibility.intersect takes two Eligibility values"); + auto r = Eligibility::intersect(*a, *b); + if (r.uid() == a->uid()) return a; + if (r.uid() == b->uid()) return b; + return std::make_shared(std::move(r)); + }, + py::arg("a"), py::arg("b"), + "The intersection of two values of one graph (ValueError for values of different graphs):\n" + "an operand itself when the result equals it (a first, then b), otherwise a new value with a\n" + "fresh uid; equal intersections built separately get distinct uids."); +} + +} // namespace netgraph::core::bindings diff --git a/bindings/python/evaluators.cpp b/bindings/python/evaluators.cpp new file mode 100644 index 0000000..902e250 --- /dev/null +++ b/bindings/python/evaluators.cpp @@ -0,0 +1,241 @@ +// capacity, batch_capacity and sensitivity with their options and results. Each evaluator +// places on a new, empty ledger; a frozen DagCache counts its hits only when the whole Python +// call succeeds (detail::frozen_call). +#include +#include +#include + +#include +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/dag_cache.hpp" +#include "netgraph/core/detail/evaluator_checks.hpp" +#include "netgraph/core/eligibility.hpp" +#include "netgraph/core/evaluators.hpp" +#include "netgraph/core/flow_policy.hpp" +#include "netgraph/core/graph.hpp" +#include "integers.hpp" +#include "publication.hpp" +#include "values.hpp" +#include "registration.hpp" + +namespace py = pybind11; + +namespace netgraph::core::bindings { + +namespace { + +// The Python form of CapacityOptions and SensitivityOptions: the Eligibility and the cache are +// held by reference count for the call (the C++ structs borrow raw pointers). +struct PyCapacityOptions { + FlowPolicyConfig config; + std::shared_ptr elig; + std::shared_ptr cache; + OutputOptions outputs; +}; +struct PySensitivityOptions { + FlowPolicyConfig config; + std::shared_ptr elig; + std::shared_ptr cache; + OutputOptions outputs; +}; + +// workers: an explicit integer is passed through (validated by the evaluator); None takes the +// environment default (detail::default_workers), and 1 whenever a cache is supplied (a building +// cache has one writer; a frozen one is shared only when the caller asks for workers). +std::int32_t workers_of(const py::object& workers, bool sensitivity, bool cache_given) { + if (!workers.is_none()) { + return static_cast(integer_value(workers, std::numeric_limits::min(), + std::numeric_limits::max(), "workers")); + } + if (cache_given) return 1; + return detail::default_workers(sensitivity); +} + +} // namespace + +void register_evaluators(py::module_& m) { + py::class_(m, "CapacityOptions", + "The configuration, the static Eligibility (None: all allowed), the DagCache (None:\n" + "private per worker) and the optional outputs of capacity() and batch_capacity().") + .def(py::init([](const FlowPolicyConfig& config, const std::shared_ptr& elig, + const std::shared_ptr& cache, const py::object& outputs) { + return PyCapacityOptions {config, elig, cache, outputs_of(outputs)}; + }), + py::arg("config"), py::kw_only(), py::arg("elig") = nullptr, py::arg("cache") = nullptr, + py::arg("outputs") = py::none()) + .def_readonly("config", &PyCapacityOptions::config, "the FlowPolicyConfig of every evaluated policy") + .def_readonly("elig", &PyCapacityOptions::elig, "the static Eligibility; None: everything allowed") + .def_readonly("cache", &PyCapacityOptions::cache, "the supplied DagCache; None: a private cache per worker") + .def_readonly("outputs", &PyCapacityOptions::outputs, "the OutputOptions of every result"); + + py::class_(m, "SensitivityOptions", + "The configuration, Eligibility, DagCache and baseline outputs of sensitivity().") + .def(py::init([](const FlowPolicyConfig& config, const std::shared_ptr& elig, + const std::shared_ptr& cache, const py::object& outputs) { + return PySensitivityOptions {config, elig, cache, outputs_of(outputs)}; + }), + py::arg("config"), py::kw_only(), py::arg("elig") = nullptr, py::arg("cache") = nullptr, + py::arg("outputs") = py::none()) + .def_readonly("config", &PySensitivityOptions::config, "the FlowPolicyConfig of the baseline and every deletion") + .def_readonly("elig", &PySensitivityOptions::elig, "the static Eligibility; None: everything allowed") + .def_readonly("cache", &PySensitivityOptions::cache, "the supplied DagCache; None: a private cache per worker") + .def_readonly("outputs", &PySensitivityOptions::outputs, "the OutputOptions of the baseline result"); + + py::class_(m, "SensitivityEntry", + "One candidate edge: edge and loss (int units: the baseline minus the capacity without the\n" + "edge).") + .def_readonly("edge", &SensitivityEntry::edge) + .def_readonly("loss", &SensitivityEntry::loss); + + py::class_(m, "SensitivityResult", + "baseline (the PlacementResult of capacity()) and entries (ascending EdgeId; an\n" + "absent edge has loss 0).") + .def_readonly("baseline", &SensitivityResult::baseline) + .def_readonly("entries", &SensitivityResult::entries); + + m.attr("MAX_FLOWS_PER_CALL") = py::int_(kMaxFlowsPerCall); + + m.def( + "capacity", + [](const std::shared_ptr& graph, const py::object& sources, const py::object& destinations, + const py::object& opts) { + if (!graph) throw py::value_error("graph must be a Graph"); + const auto o = options_of(opts, "CapacityOptions"); + const auto s = node_ids(sources, graph->num_nodes(), "sources"); + const auto d = node_ids(destinations, graph->num_nodes(), "destinations"); + const CapacityOptions c {o.config, o.elig.get(), o.cache.get(), o.outputs}; + // One public call on a frozen cache's statistics, its result object included: its hits count + // only when the Python result exists. + return detail::frozen_call(c.cache, [&](detail::FrozenTally& tally) { + PlacementResult r; + { + py::gil_scoped_release release; + r = detail::capacity_in_call(*graph, s, d, c, tally); + } + return object_of(std::move(r)); + }); + }, + py::arg("graph"), py::arg("sources"), py::arg("destinations"), py::arg("opts"), + "place(+inf) of a FlowPolicy with opts.config on a fresh ledger of the graph -> PlacementResult.\n" + "The exact maximum flow is the Global + MAX_FLOW configuration. A supplied frozen cache raises\n" + "DagCacheMiss for an absent key, unchanged.\n" + "A failed call raises; a supplied DagCache then behaves as the DagCache docstring states."); + + m.def( + "batch_capacity", + [](const std::shared_ptr& graph, const py::object& pairs, const py::object& opts, + const py::object& per_pair_elig, const py::object& workers) { + if (!graph) throw py::value_error("graph must be a Graph"); + // The arguments first, then each pair completely and in pair order (the same two parts + // as the C++ validation), so the lowest failing pair index is reported. + const auto o = options_of(opts, "CapacityOptions"); + const auto w = workers_of(workers, false, static_cast(o.cache)); + const CapacityOptions c {o.config, o.elig.get(), o.cache.get(), o.outputs}; + detail::check_batch_arguments(*graph, c, w); + if (not_a_sequence(pairs)) throw py::value_error("pairs must be a sequence of (sources, destinations)"); + const auto items = py::reinterpret_borrow(pairs); + const auto num_pairs = py::len(items); + std::optional eligs; + if (!per_pair_elig.is_none()) { + // An explicit sequence has one entry per pair (None entries allowed), also when empty. + if (not_a_sequence(per_pair_elig)) throw py::value_error("per_pair_elig must be a sequence of Eligibility or None"); + eligs = py::reinterpret_borrow(per_pair_elig); + if (py::len(*eligs) != num_pairs) { + throw py::value_error("per_pair_elig has " + std::to_string(py::len(*eligs)) + " entries for " + + std::to_string(num_pairs) + " pairs"); + } + } + std::vector, std::vector>> ps; + std::vector> keep; + std::vector per; + const auto n = graph->num_nodes(); + for (std::size_t i = 0; i < num_pairs; ++i) { + const py::object item = items[i]; + if (not_a_sequence(item) || py::len(item) != 2) { + throw py::value_error("each pair must be (sources, destinations)"); + } + auto t = py::reinterpret_borrow(item); + auto src = node_ids(t[0], n, "sources"); + auto dst = node_ids(t[1], n, "destinations"); + const Eligibility* e = nullptr; + if (eligs) { + const py::object entry = (*eligs)[i]; + if (!entry.is_none()) { + if (!py::isinstance(entry)) throw py::type_error("per_pair_elig entries must be Eligibility or None"); + keep.push_back(entry.cast>()); + e = keep.back().get(); + } + per.push_back(e); + } + detail::check_batch_pair(*graph, src, dst, e, i); + ps.emplace_back(std::move(src), std::move(dst)); + } + return detail::frozen_call(c.cache, [&](detail::FrozenTally& tally) { + std::vector rs; + { + py::gil_scoped_release release; + rs = detail::batch_capacity_in_call(*graph, ps, c, per, w, tally); + } + py::list out(rs.size()); + for (std::size_t i = 0; i < rs.size(); ++i) { + PyList_SET_ITEM(out.ptr(), static_cast(i), object_of(std::move(rs[i])).release().ptr()); + } + return py::object(std::move(out)); + }); + }, + py::arg("graph"), py::arg("pairs"), py::arg("opts"), py::arg("per_pair_elig") = py::none(), + py::arg("workers") = py::none(), + "capacity() for each (sources, destinations) pair, results in pair order. Pair i uses opts.elig\n" + "intersected with per_pair_elig[i] (None entries allowed; a given sequence has one entry per pair,\n" + "also when empty). workers >= 1; None: NGRAPH_CORE_BATCH_THREADS or 1, and 1 when a cache is\n" + "supplied. Everything is validated before a worker starts, the arguments first, then each pair\n" + "completely in pair order, so the error of the lowest failing pair is raised. Pinned is rejected;\n" + "an empty batch returns [].\n" + "Caches: a supplied building cache needs workers == 1; a frozen cache is shared by every worker\n" + "(pass workers explicitly), and its DagCacheMiss reaches the caller unchanged (the lowest failing\n" + "pair's). An intersection that differs from both operands gets a new Eligibility uid, which a\n" + "frozen cache cannot hold: pass the combined per-pair values with elig None, or a common value\n" + "that contains them.\n" + "A failed call raises; a supplied DagCache then behaves as the DagCache docstring states."); + + m.def( + "sensitivity", + [](const std::shared_ptr& graph, const py::object& sources, const py::object& destinations, + const py::object& opts, const py::object& workers) { + if (!graph) throw py::value_error("graph must be a Graph"); + const auto o = options_of(opts, "SensitivityOptions"); + const auto s = node_ids(sources, graph->num_nodes(), "sources"); + const auto d = node_ids(destinations, graph->num_nodes(), "destinations"); + const auto w = workers_of(workers, true, static_cast(o.cache)); + const SensitivityOptions c {o.config, o.elig.get(), o.cache.get(), o.outputs}; + return detail::frozen_call(c.cache, [&](detail::FrozenTally& tally) { + SensitivityResult r; + { + py::gil_scoped_release release; + r = detail::sensitivity_in_call(*graph, s, d, c, w, tally); + } + return object_of(std::move(r)); + }); + }, + py::arg("graph"), py::arg("sources"), py::arg("destinations"), py::arg("opts"), py::arg("workers") = py::none(), + "The baseline capacity() and one SensitivityEntry per candidate edge. Candidates: with Global, the\n" + "edges that carry flow in the baseline (removing any other edge cannot lower a maximum flow); with\n" + "the other routings, every allowed edge of at least 1 unit. loss = baseline.placed minus the placed\n" + "of capacity() without the edge, in signed units, never thresholded. Two shortcuts give exactly\n" + "that value: Global repairs a copy of the baseline's solve instead of solving again, and CostOnly\n" + "gives loss 0 without placing to an edge outside the static shortest-path support reachable from\n" + "the roster sources (no route can use it). workers as batch_capacity\n" + "(NGRAPH_CORE_SENSITIVITY_THREADS). Only CostOnly reads the cache, and each placed deletion uses a\n" + "new Eligibility uid, so a frozen cache raises DagCacheMiss there.\n" + "A failed deletion fails the call (the lowest failing candidate's exception, no partial result); a\n" + "supplied DagCache then behaves as the DagCache docstring states."); +} + +} // namespace netgraph::core::bindings diff --git a/bindings/python/flow_ledger.cpp b/bindings/python/flow_ledger.cpp new file mode 100644 index 0000000..cbfb0ec --- /dev/null +++ b/bindings/python/flow_ledger.cpp @@ -0,0 +1,103 @@ +// FlowLedger: the integer ledger of one graph. +#include +#include +#include + +#include + +#include "netgraph/core/flow_ledger.hpp" +#include "netgraph/core/graph.hpp" +#include "integers.hpp" +#include "values.hpp" +#if NETGRAPH_CORE_PRIVATE_HOOKS +#include "netgraph/core/detail/ledger_access.hpp" +#endif +#include "registration.hpp" + +namespace py = pybind11; + +namespace netgraph::core::bindings { + +void register_flow_ledger(py::module_& m) { + [[maybe_unused]] auto ledger_class = py::class_>( + m, "FlowLedger", + "The integer ledger of one graph: a baseline residual in units (replaced only by reset()) and the\n" + "records of the flows placed on it by policies (the ledger has no public placement or removal).\n" + "allocated() is the sum of every record's edges and residual() = baseline - allocated(), both\n" + "int64[E] snapshots. reset() and copy() are rejected while a policy is bound (a FlowPolicy built\n" + "on this ledger still exists).") + .def(py::init([](const std::shared_ptr& graph, const py::object& residual) { + if (!graph) throw py::value_error("graph must be a Graph"); + if (residual.is_none()) return std::make_shared(graph); + const auto r = edge_units(residual, *graph, "residual"); + return std::make_shared(graph, r); + }), + py::arg("graph"), py::arg("residual") = py::none(), + "residual: the baseline as integer units, one entry per edge in [0, capacity_units[e]] (a\n" + "physical baseline goes through to_units first); None: the capacities. ValueError otherwise.") + .def("uid", &FlowLedger::uid, "process-unique ledger uid (the first half of every FlowId)") + .def( + "graph", [](const FlowLedger& fg) { return std::const_pointer_cast(fg.graph()); }, + "the ledger's graph") + .def( + "capacity_units", + [](const py::object& self) { return readonly_view(self.cast().capacity_units(), self); }, + "int64[E] the graph's capacities in units (read-only view)") + .def( + "residual", [](const FlowLedger& fg) { return int64_array(fg.residual()); }, + "int64[E] snapshot: baseline - allocated") + .def( + "allocated", [](const FlowLedger& fg) { return int64_array(fg.allocated()); }, + "int64[E] snapshot: the sum of every record's edges") + .def("records", &FlowLedger::records, "live records as snapshots in FlowId order: those of bound policies and orphans (records left by a\n" + "policy destroyed without remove())") + .def( + "record", [](const FlowLedger& fg, const py::object& flow_id) { return fg.record(flow_id_of(flow_id)); }, + py::arg("flow_id"), + "one record by FlowId (ValueError for a FlowId of another ledger, a retired or an unknown id)") + .def( + "bottleneck", + [](const FlowLedger& fg, const py::object& sources, const std::shared_ptr& elig) { + const auto s = node_ids(sources, fg.graph()->num_nodes(), "sources"); + return fg.bottleneck(s, elig.get()); + }, + py::arg("sources"), py::arg("elig") = nullptr, + "Saturation report: the eligible edges with capacity >= 1 unit that leave the set of nodes the\n" + "allowed sources can reach (following eligible edges forward with residual >= 1 unit), in\n" + "ascending EdgeId. It ignores the destinations, so it is not a source-destination cut.") + .def( + "reset", + [](FlowLedger& fg, const py::object& residual) { + if (residual.is_none()) { + fg.reset(); + return; + } + const auto r = edge_units(residual, *fg.graph(), "residual"); + fg.reset(r); + }, + py::arg("residual") = py::none(), + "A new baseline (None: the capacities); orphaned records and their allocations are cleared\n" + "and their ids retired (ids are never reused). ValueError while a policy is bound.") + .def( + "copy", [](const FlowLedger& fg) { return std::make_shared(fg); }, + "a new ledger (new uid) with the same baseline and records, ids kept under the new uid;\n" + "ValueError while a policy is bound") + .def("__copy__", [](const FlowLedger& fg) { return std::make_shared(fg); }) + .def("__deepcopy__", [](const FlowLedger& fg, const py::object&) { return std::make_shared(fg); }, + py::arg("memo")); +#if NETGRAPH_CORE_PRIVATE_HOOKS + ledger_class + .def( + "_state", + [](const FlowLedger& fg) { + py::dict out; + out["next_flow_id"] = detail::LedgerAccess::next_flow_id(fg); + out["bound"] = detail::LedgerAccess::bound_owners(fg); + out["orphans"] = detail::LedgerAccess::orphan_owners(fg); + return out; + }, + "private: {next_flow_id, bound, orphans} (owner ids)"); +#endif +} + +} // namespace netgraph::core::bindings diff --git a/bindings/python/flow_policy.cpp b/bindings/python/flow_policy.cpp new file mode 100644 index 0000000..33394b9 --- /dev/null +++ b/bindings/python/flow_policy.cpp @@ -0,0 +1,190 @@ +// FlowPolicy: the one placement engine, bound to its ledger. +#include +#include +#include + +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/dag_cache.hpp" +#include "netgraph/core/eligibility.hpp" +#include "netgraph/core/flow_ledger.hpp" +#include "netgraph/core/flow_policy.hpp" +#include "integers.hpp" +#include "publication.hpp" +#include "values.hpp" +#if NETGRAPH_CORE_PRIVATE_HOOKS +#include +#include + +#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/detail/ledger_access.hpp" +#include "netgraph/core/detail/policy_engine.hpp" +#include "netgraph/core/detail/private_hooks.hpp" +#include "trace.hpp" +#endif +#include "registration.hpp" + +namespace py = pybind11; + +namespace netgraph::core::bindings { + +namespace { + +// A request: an integer number of units in [0, 2^62) or +inf (float('inf')); nullopt is +inf. +std::optional request_units(const py::object& volume) { + if (py::isinstance(volume) || py::isinstance(volume, py::module_::import("numpy").attr("floating"))) { + const double x = PyFloat_AsDouble(volume.ptr()); + if (x == -1.0 && PyErr_Occurred() != nullptr) throw py::error_already_set(); + if (std::isinf(x) && x > 0) return std::nullopt; + throw py::value_error("requests are integer units or +inf (a physical request goes through to_units first; got " + + std::string(py::str(volume)) + ")"); + } + const auto v = integer_value(volume, 0, kDomainLimit - 1, "request (units)"); + return static_cast(v); +} + +#if NETGRAPH_CORE_PRIVATE_HOOKS + +// The epoch state of a policy (roster, requested, +inf, per roster source the flows). +py::dict state_obj(const FlowPolicy& policy) { + const auto& pe = detail::PolicyAccess::engine(policy); + py::dict out; + const auto& r = pe.config.routing; + out["mode"] = std::holds_alternative(r) ? "CostOnly" + : std::holds_alternative(r) ? "CapacityAware" + : std::holds_alternative(r) ? "Global" + : "Pinned"; + out["roster"] = pe.roster; + out["requested"] = counter_int(pe.requested); + out["infinite"] = pe.infinite; + out["placed_demand"] = policy.placed_demand(); + py::dict cohorts; + for (std::size_t i = 0; i < pe.roster.size(); ++i) { + py::list flows; + for (const auto& s : pe.cohorts[i]) { + const FlowRecord& rec = detail::LedgerAccess::live(pe.fg, s.id); + py::dict f; + f["flow_id"] = py::make_tuple(rec.flow_id.first, rec.flow_id.second); + f["src"] = s.src; + if (s.plan) { + f["route"] = s.plan->route; + } else { + const auto edges = detail::PredDAGBuilder::ascending(*s.bundle); + f["route"] = std::vector(edges.begin(), edges.end()); + } + f["members"] = s.plan ? py::cast(s.plan->members) : py::object(py::none()); + f["weights"] = s.plan && s.plan->placement == FlowPlacement::Weighted ? py::cast(s.plan->weights) + : py::object(py::none()); + f["T"] = rec.delivered; + f["delivered"] = rec.delivered; + f["alloc"] = pairs_list(rec.edges); + f["bundle_index"] = s.bundle_index < 0 ? py::object(py::none()) : py::object(py::int_(s.bundle_index)); + flows.append(f); + } + cohorts[py::int_(pe.roster[i])] = flows; + } + out["cohorts"] = cohorts; + return out; +} + +#endif + +} // namespace + +void register_flow_policy(py::module_& m) { + [[maybe_unused]] auto flow_policy = py::class_( + m, "FlowPolicy", + "The placement engine for one demand, bound to its ledger at construction. place(volume, outputs)\n" + "is all-or-nothing: a failed call raises and leaves the ledger and the policy as they were (with\n" + "the two limits in the module docstring). remove() takes every flow of the policy back out and\n" + "starts a new epoch (the request total starts again from 0). A policy dropped without remove()\n" + "leaves its records in the ledger as orphans: readable, never changed again, cleared by\n" + "FlowLedger.reset(). sources and destinations are one NodeId or a sequence; the two sets must not\n" + "overlap. ValueError for invalid endpoints, configurations and requests (non-integer node ids and\n" + "requests included) and for objects of another graph, ledger or policy; TypeError for a ledger,\n" + "config, elig, cache or outputs of the wrong class (a ledger of None: ValueError) and for an\n" + "unknown keyword.") + .def(py::init([](const std::shared_ptr& ledger, const py::object& sources, + const py::object& destinations, const FlowPolicyConfig& config, + const std::shared_ptr& elig, const std::shared_ptr& cache) { + if (!ledger) throw py::value_error("ledger must be a FlowLedger"); + const auto n = ledger->graph()->num_nodes(); + const auto s = node_ids(sources, n, "sources"); + const auto d = node_ids(destinations, n, "destinations"); + return std::make_unique(*ledger, s, d, config, elig.get(), cache.get()); + }), + py::keep_alive<1, 2>(), py::keep_alive<1, 6>(), py::keep_alive<1, 7>(), py::arg("ledger"), + py::arg("sources"), py::arg("destinations"), py::arg("config"), py::arg("elig") = nullptr, + py::arg("cache") = nullptr, + "Bind a policy to ledger. elig (None: everything allowed) and cache (None: none; only CostOnly\n" + "routing reads it) belong to the ledger's graph; the policy keeps the ledger, elig and cache\n" + "alive. The roster (the sources that statically reach an allowed destination) and, for Pinned,\n" + "the usable bundles are fixed here. Everything is validated before the policy binds.") + .def( + "place", + [](FlowPolicy& p, const py::object& volume, const py::object& outputs) { + const auto v = request_units(volume); + const auto o = outputs_of(outputs); + // All or nothing across the boundary: the result's Python object exists before the + // call, and after the commit nothing allocates (the value moves into it). The GIL + // stays held: the call mutates the ledger (one writer per ledger). + auto [obj, slot] = new_object(); + *slot = p.place(v, o); + return std::move(obj); + }, + py::arg("volume"), py::arg("outputs") = py::none(), + "Place volume (int units in [0, 2^62), or float('inf')) all or nothing -> PlacementResult.\n" + "Requests add up within an epoch (from construction or the last remove()); after float('inf') any\n" + "finite request is rejected, 0 included. A request of 0 places nothing. outputs (OutputOptions;\n" + "None: none) requests edge_flows, residual and bottleneck. Everything is validated before any\n" + "change; a failed call raises with the ledger and the policy unchanged. A solve of the flow core\n" + "(Global, or a MAX_FLOW flow) on a network beyond its int32 numbering raises ValueError: more than\n" + "INT32_MAX - 2 nodes, or more than 2^30 - 1 edges, sources and destinations together.") + .def("remove", &FlowPolicy::remove, "revert every flow of the policy, retire the ids, open a new epoch") + .def("placed_demand", &FlowPolicy::placed_demand, "the sum of delivered over the policy's live records") + .def("records", &FlowPolicy::records, "the policy's live records as snapshots in FlowId order") + .def( + "record", [](const FlowPolicy& p, const py::object& flow_id) { return p.record(flow_id_of(flow_id)); }, + py::arg("flow_id"), + "one of the policy's live records by FlowId (ValueError for a FlowId of another ledger or policy, a\n" + "retired or an unknown id)") + .def("usable_bundles", &FlowPolicy::usable_bundles, + "Pinned: the bundles with a src -> dst walk over eligible edges of at least 1 unit of capacity (0\n" + "for the other modes)") + .def_property_readonly("config", &FlowPolicy::config, "the FlowPolicyConfig the policy was built with"); +#if NETGRAPH_CORE_PRIVATE_HOOKS + flow_policy + .def( + "_place_traced", + [](FlowPolicy& p, const py::object& volume, const py::object& outputs) { + const auto v = request_units(volume); + const auto o = outputs_of(outputs); + // As place(): every Python object exists before anything changes; the engine runs the + // `staged` callback, which converts the trace, after the work is done and before the + // commit, so a failed conversion changes nothing. + auto [obj, slot] = new_object(); + py::tuple pair(2); + py::object trace_py; + detail::Trace trace; + const std::function staged = [&] { trace_py = trace_obj(trace); }; + *slot = detail::place_traced(p, v, o, trace, &staged); + PyTuple_SET_ITEM(pair.ptr(), 0, obj.release().ptr()); + PyTuple_SET_ITEM(pair.ptr(), 1, trace_py.release().ptr()); + return pair; + }, + py::arg("volume"), py::arg("outputs") = py::none(), + "private: place() with the transaction's trace (the call's intermediate values, keyed as\n" + "the tests' model of the policy keys them)") + .def("_state", &state_obj, "private: the epoch state (roster, requested, +inf, cohorts)") + .def( + "_owner", [](const FlowPolicy& p) { return detail::PolicyAccess::engine(p).owner; }, + "private: the ledger-local owner id (FlowRecord.owner)"); +#endif +} + +} // namespace netgraph::core::bindings diff --git a/bindings/python/flow_record.cpp b/bindings/python/flow_record.cpp new file mode 100644 index 0000000..ff85348 --- /dev/null +++ b/bindings/python/flow_record.cpp @@ -0,0 +1,73 @@ +// FlowRecord: one flow of a ledger, as a snapshot. +#include +#include +#include + +#include +#include + +#include "netgraph/core/flow_record.hpp" +#include "netgraph/core/pred_dag.hpp" +#include "values.hpp" +#include "registration.hpp" + +namespace py = pybind11; + +namespace netgraph::core::bindings { + +namespace { + +py::object cost_or_none(Cost c) { return c == kUnreachable ? py::object(py::none()) : py::object(py::int_(c)); } + +} // namespace + +void register_flow_record(py::module_& m) { + py::class_( + m, "FlowRecord", + "One flow of a ledger, as a snapshot: flow_id (ledger uid, id), owner (the policy's id),\n" + "sources, destinations, placement, admission, bundle (PredDAG: the flow's route),\n" + "route_cost (its minimum walk cost; None when empty), offered (Lossy only, else None),\n" + "delivered, edges [(EdgeId, units)] and drops [(EdgeId, units)] (cumulative, ascending\n" + "EdgeId). offered and the drops units are exact Python ints (they may exceed 64 bits).") + .def_property_readonly( + "flow_id", [](const FlowRecord& r) { return py::make_tuple(r.flow_id.first, r.flow_id.second); }, + "(ledger uid, id): ids are assigned in creation order and never reused in the ledger") + .def_readonly("owner", &FlowRecord::owner, "the ledger-local id of the policy that created the flow") + .def_readonly("sources", &FlowRecord::sources, "the flow's source node ids, ascending") + .def_readonly("destinations", &FlowRecord::destinations, "the flow's destination node ids, ascending") + .def_readonly("placement", &FlowRecord::placement, "the FlowPlacement (kernel) that spreads the flow over its route") + .def_readonly("admission", &FlowRecord::admission, "LOSSLESS or LOSSY") + .def_property_readonly( + "bundle", [](const FlowRecord& r) { return std::const_pointer_cast(r.bundle); }, + "the flow's route (an immutable PredDAG shared with the ledger)") + .def_property_readonly( + "route_cost", [](const FlowRecord& r) { return cost_or_none(r.route_cost); }, + "the cost of the cheapest walk of the bundle from the sources to the destinations; None when\n" + "the bundle has no such walk") + .def_property_readonly( + "offered", + [](const FlowRecord& r) -> py::object { + return r.offered.has_value() ? counter_int(*r.offered) : py::object(py::none()); + }, + "Lossy: the units offered to the flow, summed over calls (an exact int, may exceed 64 bits);\n" + "None for a Lossless flow") + .def_readonly("delivered", &FlowRecord::delivered, "the units the flow delivers to its destinations (its total)") + .def_property_readonly( + "edges", [](const FlowRecord& r) { return pairs_list(r.edges); }, + "the flow's allocation [(EdgeId, units)], positive entries in ascending EdgeId") + .def_property_readonly( + "drops", + [](const FlowRecord& r) { + py::list out; + for (const auto& [e, x] : r.drops) out.append(py::make_tuple(e, counter_int(x))); + return out; + }, + "Lossy: the units dropped per edge [(EdgeId, units)], summed over calls, positive entries in\n" + "ascending EdgeId (exact ints); empty for a Lossless flow") + .def("__repr__", [](const FlowRecord& r) { + return "FlowRecord(flow_id=(" + std::to_string(r.flow_id.first) + ", " + std::to_string(r.flow_id.second) + + "), owner=" + std::to_string(r.owner) + ", delivered=" + std::to_string(r.delivered) + ")"; + }); +} + +} // namespace netgraph::core::bindings diff --git a/bindings/python/graph.cpp b/bindings/python/graph.cpp new file mode 100644 index 0000000..3db326e --- /dev/null +++ b/bindings/python/graph.cpp @@ -0,0 +1,216 @@ +// Graph: the immutable graph on integer units and its validating constructor. +#include +#include +#include + +#include +#include +#include +#include + +#include "netgraph/core/eligibility.hpp" +#include "netgraph/core/graph.hpp" +#include "integers.hpp" +#include "values.hpp" +#include "registration.hpp" + +namespace py = pybind11; + +namespace netgraph::core::bindings { + +namespace { + +// The unit-value step on the capacity argument whatever its shape (the shape step comes next): +// every integer entry it holds must lie in [0, 2^62). A NumPy array is read flattened; nested +// entries of a Python sequence and a non-integer non-sequence are left to the shape step. +void check_unit_values(const py::handle& capacity_units) { + const auto out_of_domain = [](const std::string& what, const std::string& value) { + return py::value_error(what + " = " + value + " is outside the units domain [0, 2^62)"); + }; + if (py::isinstance(capacity_units)) { + py::object flat = capacity_units.attr("ravel")(); + const auto w = wide_integers(flat, "capacity_units"); + for (std::size_t i = 0; i < w.size(); ++i) { + if (!w.in(i, 0, kDomainLimit - 1)) throw out_of_domain("capacity_units[" + std::to_string(i) + "]", w.text(i)); + } + return; + } + if (!not_a_sequence(capacity_units)) { + auto seq = py::reinterpret_borrow(capacity_units); + for (std::size_t i = 0; i < seq.size(); ++i) { + py::object item = seq[i]; + if (is_nested(item)) continue; + const std::string what = "capacity_units[" + std::to_string(i) + "]"; + py::object idx = python_int(item, what); + int overflow = 0; + const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); + if (overflow != 0 || v < 0 || v >= kDomainLimit) throw out_of_domain(what, std::string(py::str(idx))); + } + return; + } + if (!is_bool(capacity_units) && PyIndex_Check(capacity_units.ptr())) { + py::object idx = python_int(capacity_units, "capacity_units"); + int overflow = 0; + const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); + if (overflow != 0 || v < 0 || v >= kDomainLimit) throw out_of_domain("capacity_units", std::string(py::str(idx))); + } +} + +std::shared_ptr make_graph(const py::object& num_nodes, const py::object& src, + const py::object& dst, const py::object& capacity_units, + const py::object& cost, double resolution) { + // The constructor's validation order: the resolution, the unit values, the shapes, zero or + // negative costs, the remaining bounds (ids in range, then the sums); every value is read + // without narrowing, and the messages are the C++ constructor's, which re-checks the same order. + (void)resolution_exponent(resolution); + check_unit_values(capacity_units); + // The shapes: num_nodes, then every array argument rank 1 (in signature order), then equal + // lengths; no entry of src, dst or cost is read before the cost step. + const auto n = integer_value(num_nodes, 0, std::numeric_limits::max(), "num_nodes"); + const std::size_t m = sequence_length(src, "src"); + const std::size_t md = sequence_length(dst, "dst"); + const std::size_t mu = sequence_length(capacity_units, "capacity_units"); + const std::size_t mc = sequence_length(cost, "cost"); + if (md != m || mu != m || mc != m) { + throw py::value_error("src, dst, capacity_units and cost must have the same length (got " + + std::to_string(m) + ", " + std::to_string(md) + ", " + std::to_string(mu) + ", " + + std::to_string(mc) + ")"); + } + const auto cap = wide_integers(capacity_units, "capacity_units"); // rank 1, values checked + if (m > static_cast(std::numeric_limits::max())) { + throw py::value_error("the number of edges exceeds INT32_MAX (array length)"); + } + const auto w = wide_integers(cost, "cost"); + for (std::size_t i = 0; i < m; ++i) { + if (w.sign(i) < 0 || (w.sign(i) == 0 && w.value[i] < 1)) { + throw py::value_error("cost[" + std::to_string(i) + "] = " + w.text(i) + ": costs must be positive (cost >= 1)"); + } + } + const auto s = wide_integers(src, "src"); + const auto d = wide_integers(dst, "dst"); + for (std::size_t i = 0; i < m; ++i) { + if (!s.in(i, 0, n - 1) || !d.in(i, 0, n - 1)) { + throw py::value_error("edge " + std::to_string(i) + ": endpoint (" + s.text(i) + ", " + d.text(i) + + ") out of node range [0, " + std::to_string(n) + ")"); + } + } + constexpr auto kLimit = static_cast(kDomainLimit); + std::uint64_t cap_sum = 0; + std::uint64_t cost_sum = 0; + for (std::size_t i = 0; i < m; ++i) { + cap_sum += static_cast(cap.value[i]); // each below 2^62: no wrap before the check + if (cap_sum >= kLimit) { + throw py::value_error("the sum of all capacities reaches the bound of the units domain (2^62 units)"); + } + if (w.sign(i) > 0 || static_cast(w.value[i]) >= kLimit - cost_sum) { + throw py::value_error("the sum of all edge costs reaches the bound 2^62: path costs would overflow int64"); + } + cost_sum += static_cast(w.value[i]); + } + auto cap_v = cap.narrow(); + auto cost_v = w.narrow(); + auto src_v = s.narrow(); + auto dst_v = d.narrow(); + py::gil_scoped_release release; + return std::make_shared(static_cast(n), src_v, dst_v, cap_v, cost_v, resolution); +} + +} // namespace + +void register_graph(py::module_& m) { + py::class_>( + m, "Graph", + "Immutable directed multigraph on integer units (parallel edges and self-loops allowed). Edges are\n" + "given in input order and numbered by sorting on (src, cost, dst), ties kept in input order: that\n" + "number is the public EdgeId. input_index()[e] is the input position of edge e. Per-edge values\n" + "use EdgeId order; in_adj_edge_index() instead lists EdgeIds in incoming-slot order. Costs are\n" + "positive integers; capacities are int64 units of the explicit resolution q (a power of two in\n" + "[2^-32, 2^32]); physical capacities enter through to_units.") + .def(py::init(&make_graph), py::arg("num_nodes"), py::arg("src"), py::arg("dst"), + py::arg("capacity_units"), py::arg("cost"), py::arg("resolution"), + "Validates, in order, and reports the first defect as ValueError: the resolution (a power of\n" + "two in [2^-32, 2^32]), the unit values (every capacity in [0, 2^62)), the array shapes,\n" + "zero or negative costs, the remaining bounds (endpoints in range, then the\n" + "capacity and cost sums below 2^62). Integers are read without narrowing, so the error\n" + "does not depend on how the input is represented.") + .def("uid", &Graph::uid, "process-unique id (never reused)") + .def("resolution", &Graph::resolution, "the resolution q (units of capacity)") + .def("num_nodes", &Graph::num_nodes, "N: node ids are 0 .. N - 1") + .def("num_edges", &Graph::num_edges, "E: EdgeIds are 0 .. E - 1") + .def("max_cost", &Graph::max_cost, "largest edge cost (0 without edges)") + .def("cost_gcd", &Graph::cost_gcd, "gcd of the edge costs (0 without edges)") + .def( + "capacity_units", [](const py::object& self) { + const auto& g = self.cast(); + return readonly_view(g.capacity_units(), self); + }, + "int64[E] capacities in units, id order (read-only view)") + .def( + "cost", [](const py::object& self) { + const auto& g = self.cast(); + return readonly_view(g.cost(), self); + }, + "int64[E] costs, id order (read-only view)") + .def( + "edge_src", [](const py::object& self) { + const auto& g = self.cast(); + return readonly_view(g.edge_src(), self); + }, + "int32[E] source node per edge (read-only view)") + .def( + "edge_dst", [](const py::object& self) { + const auto& g = self.cast(); + return readonly_view(g.edge_dst(), self); + }, + "int32[E] destination node per edge (read-only view)") + .def( + "input_index", [](const py::object& self) { + const auto& g = self.cast(); + return readonly_view(g.input_index(), self); + }, + "int32[E]: EdgeId -> input position (read-only view); build the inverse yourself if needed") + .def( + "row_offsets", [](const py::object& self) { + const auto& g = self.cast(); + return readonly_view(g.row_offsets(), self); + }, + "int32[N + 1]: the out-edges of u are the ids [row_offsets[u], row_offsets[u + 1])") + .def( + "in_row_offsets", [](const py::object& self) { + const auto& g = self.cast(); + return readonly_view(g.in_row_offsets(), self); + }, + "int32[N + 1]: the in-edges of v are in_adj_edge_index()[in_row_offsets[v] : in_row_offsets[v + 1]]") + .def( + "in_adj_edge_index", [](const py::object& self) { + const auto& g = self.cast(); + return readonly_view(g.in_adj_edge_index(), self); + }, + "int32[E]: the in-edges of v in (cost, src, input) order, as EdgeIds") + .def( + "eligibility", + [](const Graph& g, const py::object& excluded_nodes, const py::object& excluded_edges) { + // Nodes, then edges, each range-checked before narrowing (the constructor's order). + const auto xn = wide_integers(excluded_nodes, "excluded_nodes"); + for (std::size_t i = 0; i < xn.size(); ++i) { + if (!xn.in(i, 0, static_cast(g.num_nodes()) - 1)) { + throw py::value_error("excluded node " + xn.text(i) + " out of node range [0, " + + std::to_string(g.num_nodes()) + ")"); + } + } + const auto xe = wide_integers(excluded_edges, "excluded_edges"); + for (std::size_t i = 0; i < xe.size(); ++i) { + if (!xe.in(i, 0, static_cast(g.num_edges()) - 1)) { + throw py::value_error("excluded edge " + xe.text(i) + " out of edge range [0, " + + std::to_string(g.num_edges()) + ")"); + } + } + return std::make_shared(g.eligibility(xn.narrow(), xe.narrow())); + }, + py::arg("excluded_nodes") = py::tuple(), py::arg("excluded_edges") = py::tuple(), + "Static eligibility from excluded node ids and EdgeIds (duplicates and unsorted lists\n" + "accepted, out-of-range ids rejected); an edge is allowed when it is not excluded and\n" + "both endpoints are allowed. Empty lists mean all allowed (uid 0)."); +} + +} // namespace netgraph::core::bindings diff --git a/bindings/python/hooks.cpp b/bindings/python/hooks.cpp new file mode 100644 index 0000000..ea2ff08 --- /dev/null +++ b/bindings/python/hooks.cpp @@ -0,0 +1,217 @@ +// The private hooks (NETGRAPH_CORE_PRIVATE_HOOKS builds only): the test controls +// of the creation cap and of Python and native allocation failures, and the apportionment +// kernels. +#include +#include +#include + +#include "registration.hpp" + +#if NETGRAPH_CORE_PRIVATE_HOOKS +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/kernels.hpp" +#include "netgraph/core/detail/private_hooks.hpp" +#include "netgraph/core/flow_policy.hpp" +#include "netgraph/core/types.hpp" +#include "integers.hpp" + +namespace py = pybind11; + +namespace netgraph::core::bindings { + +namespace { + +// The allocation-failure hook: the k-th object-domain allocation fails (Python's allocator +// wrapped for one call, then restored). The allocator is process-wide while the call runs, so +// the hook serves one caller at a time (the tests); its counters are atomics because the module +// does not hold the GIL for every thread (mod_gil_not_used). +PyMemAllocatorEx g_saved_allocator {}; +std::atomic g_fail_countdown {-1}; +std::atomic g_fail_seen {0}; +std::atomic g_fail_hit {false}; + +bool fail_now() { + g_fail_seen.fetch_add(1); + if (g_fail_countdown.load() < 0) return false; + if (g_fail_countdown.fetch_sub(1) == 0) { + g_fail_hit.store(true); + return true; + } + return false; +} +void* failing_malloc(void*, std::size_t n) { return fail_now() ? nullptr : g_saved_allocator.malloc(g_saved_allocator.ctx, n); } +void* failing_calloc(void*, std::size_t n, std::size_t size) { + return fail_now() ? nullptr : g_saved_allocator.calloc(g_saved_allocator.ctx, n, size); +} +void* failing_realloc(void*, void* ptr, std::size_t n) { + return fail_now() ? nullptr : g_saved_allocator.realloc(g_saved_allocator.ctx, ptr, n); +} +void forwarding_free(void*, void* ptr) { g_saved_allocator.free(g_saved_allocator.ctx, ptr); } + +// The native allocation-failure hook: while armed for one call, the k-th allocation of +// the calling thread through the extension's global operator new (the bindings and the library +// linked into the extension) throws std::bad_alloc, and the thread's allocations and deletions +// are counted, so a test also sees what a failed call left allocated. Other threads and other +// images (libc++, Python) are not counted; the aligned forms are not replaced. The counters are +// atomics for the same reason as above. +std::atomic g_native_armed {false}; +std::atomic g_native_owner {}; +std::atomic g_native_countdown {-1}; +std::atomic g_native_seen {0}; +std::atomic g_native_live {0}; +std::atomic g_native_hit {false}; + +bool native_counted() noexcept { + return g_native_armed.load(std::memory_order_relaxed) && g_native_owner.load() == std::this_thread::get_id(); +} + +void* native_allocate(std::size_t n) { + if (native_counted()) { + g_native_seen.fetch_add(1); + if (g_native_countdown.load() >= 0 && g_native_countdown.fetch_sub(1) == 0) { + g_native_hit.store(true); + throw std::bad_alloc(); + } + } + void* p = std::malloc(n == 0 ? 1 : n); + if (p == nullptr) throw std::bad_alloc(); + if (native_counted()) g_native_live.fetch_add(1); + return p; +} + +void* native_allocate_nothrow(std::size_t n) noexcept { + try { + return native_allocate(n); + } catch (...) { + return nullptr; + } +} + +void native_free(void* p) noexcept { + if (p != nullptr && native_counted()) g_native_live.fetch_sub(1); + std::free(p); +} + +} // namespace + +void register_private_hooks(py::module_& m) { + m.def( + "_max_flows_per_call", + [](const py::object& value) { + auto& cap = detail::max_flows_per_call(); + const auto old = cap.load(); + if (!value.is_none()) cap.store(integer_value(value, 0, kMaxFlowsPerCall, "max_flows_per_call")); + return old; + }, + py::arg("value") = py::none(), + "private test hook: the call-wide creation cap (MAX_FLOWS_PER_CALL by default); returns the old value"); + + m.def( + "_fail_python_allocation", + [](const py::object& fn, const py::tuple& args, long k) { + // Calls fn(*args) with the k-th Python object allocation (from 0) failing, then + // restores the allocator. Returns (hit, allocations seen, result or None, exception or + // None). One caller at a time: the allocator is process-wide while the call runs. + PyMem_GetAllocator(PYMEM_DOMAIN_OBJ, &g_saved_allocator); + PyMemAllocatorEx hook {nullptr, failing_malloc, failing_calloc, failing_realloc, forwarding_free}; + g_fail_countdown.store(k); + g_fail_seen.store(0); + g_fail_hit.store(false); + PyMem_SetAllocator(PYMEM_DOMAIN_OBJ, &hook); + PyObject* r = PyObject_CallObject(fn.ptr(), args.ptr()); + PyMem_SetAllocator(PYMEM_DOMAIN_OBJ, &g_saved_allocator); + g_fail_countdown.store(-1); + py::object result = r != nullptr ? py::reinterpret_steal(r) : py::object(py::none()); + py::object error = py::none(); + if (r == nullptr) error = py::reinterpret_steal(PyErr_GetRaisedException()); + return py::make_tuple(g_fail_hit.load(), g_fail_seen.load(), result, error); + }, + py::arg("fn"), py::arg("args"), py::arg("k"), + "private test hook: fn(*args) with the k-th Python object allocation failing -> (hit, seen, result, error)"); + + m.def( + "_fail_native_allocation", + [](const py::object& fn, const py::tuple& args, long k) { + // Calls fn(*args) with the calling thread's k-th native allocation (from 0) failing. + // Returns (hit, allocations seen, result or None, exception or None, allocations of the + // call still live). One caller at a time. + g_native_countdown.store(k); + g_native_seen.store(0); + g_native_live.store(0); + g_native_hit.store(false); + g_native_owner.store(std::this_thread::get_id()); + g_native_armed.store(true); + PyObject* r = PyObject_CallObject(fn.ptr(), args.ptr()); + g_native_armed.store(false); + g_native_countdown.store(-1); + py::object result = r != nullptr ? py::reinterpret_steal(r) : py::object(py::none()); + py::object error = py::none(); + if (r == nullptr) error = py::reinterpret_steal(PyErr_GetRaisedException()); + return py::make_tuple(g_native_hit.load(), g_native_seen.load(), result, error, g_native_live.load()); + }, + py::arg("fn"), py::arg("args"), py::arg("k"), + "private test hook: fn(*args) with the k-th native allocation failing -> (hit, seen, result, error, live)"); + + m.def( + "_round_robin", + [](const py::object& total, const py::object& k) { + const auto t = integer_value(total, 0, kDomainLimit - 1, "total"); + const auto n = integer_value(k, 1, 1 << 20, "k"); + std::vector out(static_cast(n)); + detail::round_robin(t, out); + return out; + }, + py::arg("total"), py::arg("k"), + "private: round robin of total units over k members (the first total % k get one unit more)"); + + m.def( + "_highest_averages", + [](const py::object& total, const py::object& weights) { + const auto t = integer_value(total, 0, kDomainLimit - 1, "total"); + const auto w = wide_integers(weights, "weights"); + if (w.size() == 0) throw py::value_error("highest averages over no member"); + std::uint64_t sum = 0; + for (std::size_t i = 0; i < w.size(); ++i) { + if (!w.in(i, 1, kDomainLimit - 1)) { + throw py::value_error("weights[" + std::to_string(i) + "] = " + w.text(i) + " is outside [1, 2^62)"); + } + sum += static_cast(w.value[i]); + if (sum >= static_cast(kDomainLimit)) throw py::value_error("the weights sum to 2^62 or more"); + } + const auto wv = w.narrow(); + std::vector out(wv.size()); + detail::highest_averages(t, wv, out); + return out; + }, + py::arg("total"), py::arg("weights"), + "private: highest-averages (D'Hondt) apportionment of total units over positive weights, ties by\n" + "the lower index"); +} + +} // namespace netgraph::core::bindings + +// The extension's global allocation functions in a hooks build: the native allocation-failure +// hook above. Unarmed they allocate as the defaults do (malloc and free, which every image's +// operator delete accepts). +using netgraph::core::bindings::native_allocate; +using netgraph::core::bindings::native_allocate_nothrow; +using netgraph::core::bindings::native_free; + +void* operator new(std::size_t n) { return native_allocate(n); } +void* operator new[](std::size_t n) { return native_allocate(n); } +void* operator new(std::size_t n, const std::nothrow_t&) noexcept { return native_allocate_nothrow(n); } +void* operator new[](std::size_t n, const std::nothrow_t&) noexcept { return native_allocate_nothrow(n); } +void operator delete(void* p) noexcept { native_free(p); } +void operator delete[](void* p) noexcept { native_free(p); } +void operator delete(void* p, std::size_t) noexcept { native_free(p); } +void operator delete[](void* p, std::size_t) noexcept { native_free(p); } +void operator delete(void* p, const std::nothrow_t&) noexcept { native_free(p); } +void operator delete[](void* p, const std::nothrow_t&) noexcept { native_free(p); } + +#endif diff --git a/bindings/python/integers.hpp b/bindings/python/integers.hpp new file mode 100644 index 0000000..d5b7a21 --- /dev/null +++ b/bindings/python/integers.hpp @@ -0,0 +1,232 @@ +/* + Integer arguments from Python: Python ints, NumPy integer scalars and integer arrays, read + without narrowing (WideInts) and validated in the C++ constructors' order before any + conversion to the C++ types, so the reported error does not depend on how the input is + represented; bools and floats are rejected, never truncated. Also the shape step of sequence + arguments, the per-edge amount arrays and the node sets. +*/ +#pragma once + +#include +#include +#include + +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/endpoints.hpp" +#include "netgraph/core/graph.hpp" +#include "netgraph/core/types.hpp" + +namespace py = pybind11; + +namespace netgraph::core::bindings { + +inline bool is_bool(const py::handle& obj) { + return PyBool_Check(obj.ptr()) || py::isinstance(obj, py::module_::import("numpy").attr("bool_")); +} + +// The Python int of an integer-like object (a Python int or a NumPy integer scalar); bools and +// everything else are rejected, and an exception of the object's own __index__ propagates as +// raised. The result is an exact int, so PyLong_AsLongLongAndOverflow cannot fail on it. +inline py::object python_int(const py::handle& item, const std::string& what) { + if (is_bool(item) || !PyIndex_Check(item.ptr())) { + throw py::value_error(what + " must be an integer (got " + + std::string(py::str(py::type::of(item).attr("__name__"))) + ")"); + } + py::object idx = py::reinterpret_steal(PyNumber_Index(item.ptr())); + if (!idx) throw py::error_already_set(); + return idx; +} + +// One integer of [lo, hi] (scalar arguments). +inline std::int64_t integer_value(const py::handle& item, std::int64_t lo, std::int64_t hi, const std::string& what) { + py::object idx = python_int(item, what); + int overflow = 0; + const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); + if (overflow != 0 || v < lo || v > hi) { + throw py::value_error(what + " = " + std::string(py::str(idx)) + " is out of range [" + + std::to_string(lo) + ", " + std::to_string(hi) + "]"); + } + return static_cast(v); +} + +// A 1-D integer sequence read without narrowing: every entry's int64 value where it fits, and +// the sign of the overflow where it does not (+1 above INT64_MAX, -1 below INT64_MIN). Only type +// defects raise here (a non-integer, a bool, a float array, a non-sequence); every value bound +// is checked by the caller in the C++ constructor's order, so the reported error does not depend +// on the representation of the input. +struct WideInts { + py::object source; + std::vector value; + std::vector overflow; // empty when no entry overflows + [[nodiscard]] std::size_t size() const noexcept { return value.size(); } + [[nodiscard]] int sign(std::size_t i) const noexcept { return overflow.empty() ? 0 : overflow[i]; } + // The entry as Python prints it (exact also beyond int64). + [[nodiscard]] std::string text(std::size_t i) const { + if (sign(i) == 0) return std::to_string(value[i]); + return std::string(py::str(source[py::int_(i)])); + } + [[nodiscard]] bool in(std::size_t i, std::int64_t lo, std::int64_t hi) const noexcept { + return sign(i) == 0 && value[i] >= lo && value[i] <= hi; + } + // The entry as an exact Python int (an overflowing entry compared with another). The entry is + // converted again here, so its __index__ may now fail: that exception propagates as raised. + [[nodiscard]] py::object exact(std::size_t i) const { + py::object item = source[py::int_(i)]; + py::object idx = py::reinterpret_steal(PyNumber_Index(item.ptr())); + if (!idx) throw py::error_already_set(); + return idx; + } + template + [[nodiscard]] std::vector narrow() const { // after every bound was checked + return std::vector(value.begin(), value.end()); + } +}; + +inline bool not_a_sequence(const py::handle& obj) { + return py::isinstance(obj) || py::isinstance(obj) || !py::isinstance(obj); +} + +inline WideInts wide_integers(const py::handle& obj, const char* name) { + WideInts out; + out.source = py::reinterpret_borrow(obj); + if (py::isinstance(obj)) { + auto arr = py::reinterpret_borrow(obj); + if (arr.ndim() != 1) { + throw py::value_error(std::string(name) + " must be a 1-D array (got " + std::to_string(arr.ndim()) + + " dimensions)"); + } + const char kind = arr.dtype().kind(); + if (kind != 'i' && kind != 'u') { + throw py::value_error(std::string(name) + " entries must be integers (got dtype " + + std::string(py::str(arr.dtype())) + ")"); + } + out.value.reserve(static_cast(arr.size())); + if (kind == 'u' && arr.itemsize() == 8) { + auto u = py::array_t::ensure(arr); + auto r = u.unchecked<1>(); + constexpr auto kMax = static_cast(std::numeric_limits::max()); + for (py::ssize_t i = 0; i < r.shape(0); ++i) { + if (r(i) > kMax) { + if (out.overflow.empty()) out.overflow.assign(static_cast(r.shape(0)), 0); + out.overflow[static_cast(i)] = 1; + out.value.push_back(std::numeric_limits::max()); + } else { + out.value.push_back(static_cast(r(i))); + } + } + return out; + } + auto a = py::array_t::ensure(arr); + auto r = a.unchecked<1>(); + for (py::ssize_t i = 0; i < r.shape(0); ++i) out.value.push_back(r(i)); + return out; + } + if (not_a_sequence(obj)) throw py::value_error(std::string(name) + " must be a sequence of integers"); + auto seq = py::reinterpret_borrow(obj); + const std::size_t n = seq.size(); + out.value.reserve(n); + for (std::size_t i = 0; i < n; ++i) { + py::object idx = python_int(seq[i], std::string(name) + "[" + std::to_string(i) + "]"); + int overflow = 0; + const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); + if (overflow != 0) { + if (out.overflow.empty()) out.overflow.assign(n, 0); + out.overflow[i] = static_cast(overflow); + out.value.push_back(overflow > 0 ? std::numeric_limits::max() + : std::numeric_limits::min()); + } else { + out.value.push_back(static_cast(v)); + } + } + return out; +} + +// An entry that is itself a sequence or an array of rank >= 1 (a shape defect of its argument). +inline bool is_nested(const py::handle& item) { + if (py::isinstance(item)) return py::reinterpret_borrow(item).ndim() >= 1; + return !py::isinstance(item) && !py::isinstance(item) && PySequence_Check(item.ptr()) != 0; +} + +// The shape step: the length of a rank-1 integer sequence argument. A NumPy array of another +// rank (0-D included), a nested sequence or a non-sequence is a shape defect. Entry types and +// values are not read here; their steps come later. +inline std::size_t sequence_length(const py::handle& obj, const char* name) { + if (py::isinstance(obj)) { + auto arr = py::reinterpret_borrow(obj); + if (arr.ndim() != 1) { + throw py::value_error(std::string(name) + " must be a 1-D array (got " + std::to_string(arr.ndim()) + + " dimensions)"); + } + return static_cast(arr.size()); + } + if (not_a_sequence(obj)) { + throw py::value_error(std::string(name) + " must be a 1-D sequence of integers (got " + + std::string(py::str(py::type::of(obj).attr("__name__"))) + ")"); + } + auto seq = py::reinterpret_borrow(obj); + const std::size_t n = seq.size(); + for (std::size_t i = 0; i < n; ++i) { + if (is_nested(seq[i])) { + throw py::value_error(std::string(name) + " must be a 1-D sequence of integers (entry " + std::to_string(i) + + " is a sequence)"); + } + } + return n; +} + +// A per-edge integer array in [0, capacity_units[e]] (a ledger baseline, a search residual, +// the capacities `view` of _place_global_units), validated on the unnarrowed values: the length +// (shape step), then every entry in EdgeId order. `label` names the entries in a type error +// ("residual (units)", "view (capacity units)"). The checked values come back unnarrowed: a +// caller narrows them later (_place_global_units, inside its call). +inline WideInts edge_amounts(const py::object& obj, const Graph& g, const char* name, const char* label) { + const auto num_edges = static_cast(g.num_edges()); + const std::size_t len = sequence_length(obj, name); + if (len != num_edges) { + throw py::value_error(std::string(name) + " has length " + std::to_string(len) + ", expected " + + std::to_string(num_edges) + " (one entry per edge)"); + } + auto v = wide_integers(obj, label); + const auto capacity = g.capacity_units(); + for (std::size_t e = 0; e < num_edges; ++e) { + if (!v.in(e, 0, capacity[e])) { + throw py::value_error(std::string(name) + "[" + std::to_string(e) + "] = " + v.text(e) + " is outside [0, capacity_units[" + + std::to_string(e) + "] = " + std::to_string(capacity[e]) + "]"); + } + } + return v; +} + +// A per-edge integer array in [0, capacity_units[e]] (a ledger baseline, a search residual), +// validated on the unnarrowed values: the length (shape step), then every entry. +inline std::vector edge_units(const py::object& obj, const Graph& g, const char* name) { + return edge_amounts(obj, g, name, (std::string(name) + " (units)").c_str()).narrow(); +} + +// A node set's ids, non-empty and range-checked before narrowing (detail::node_set's messages). +inline std::vector checked_ids(const WideInts& ids, std::int32_t num_nodes, const char* name) { + if (ids.size() == 0) throw py::value_error(detail::empty_set_error(name)); + for (std::size_t i = 0; i < ids.size(); ++i) { + if (!ids.in(i, 0, static_cast(num_nodes) - 1)) { + throw py::value_error(detail::node_range_error(name, ids.text(i), num_nodes)); + } + } + return ids.narrow(); +} + +// A node set: one NodeId or a sequence of them. +inline std::vector node_ids(const py::object& obj, std::int32_t num_nodes, const char* name) { + if (!is_bool(obj) && PyIndex_Check(obj.ptr()) && !py::isinstance(obj)) { + py::list one; + one.append(obj); + return checked_ids(wide_integers(one, name), num_nodes, name); + } + return checked_ids(wide_integers(obj, name), num_nodes, name); +} + +} // namespace netgraph::core::bindings diff --git a/bindings/python/module.cpp b/bindings/python/module.cpp index 1a29525..394f3a5 100644 --- a/bindings/python/module.cpp +++ b/bindings/python/module.cpp @@ -1,2181 +1,65 @@ /* Pybind11 module `_netgraph_core`: the graph on integer units with Eligibility and the unit conversions, the route structures (PredDAG, Path), the selection and placement axes, the - ledger with its records, the policy engine with its configuration and results, the DagCache - , the evaluators (capacity, batch_capacity, sensitivity) and the public search (spf); and one - private entry: the flow core's _place_global_units (the recorder's entry, APPROACH 2.2). + ledger with its records, the policy engine with its configuration and results, the DagCache, + the evaluators (capacity, batch_capacity, sensitivity) and the public search (spf, ksp, + resolve_to_paths); and one private entry: the flow core's _place_global_units. A build with the private hooks (CMake NETGRAPH_CORE_PRIVATE_HOOKS: the editable development build) adds the test controls and the parity diagnostics. - Graph accessors return read-only NumPy views that keep the graph alive (no per-call copy). - Integer inputs (capacities, costs, ids, views, caps) must be integers: Python ints, NumPy integer scalars or integer arrays; floats and bools are rejected with ValueError, never - truncated. Values are read without narrowing (WideInts) and validated in the contract's - order before any conversion to the C++ types (APPROACH 3, revision 25). Physical values + truncated. Values are read without narrowing (WideInts) and validated in the C++ + constructors' order before any conversion to the C++ types. Physical values enter only through to_units; the resolution is validated before anything else. - std::invalid_argument from Core maps to ValueError; enumeration values outside their - enumeration are rejected at construction (rule 13). - - _place_global_units is the recorder's private entry point (APPROACH 2.2): it returns the - payload as a dict of Python ints and lists. + enumeration are rejected at construction (ValueError). + - _place_global_units is a private entry point for the flow checks: it returns the flow + core's payload as a dict of Python ints and lists. - Amounts and counters cross as Python ints (exact, also beyond 64 bits); per-edge arrays as int64 NumPy arrays in EdgeId order; +inf is accepted only as a request (float('inf')). - Python spells constants in UPPER_SNAKE_CASE: MAX_FLOWS_PER_CALL is the C++ kMaxFlowsPerCall. */ #include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include - -#include "netgraph/core/dag_cache.hpp" -#include "netgraph/core/detail/endpoints.hpp" -#include "netgraph/core/detail/enum_domain.hpp" -#include "netgraph/core/detail/evaluator_checks.hpp" -#include "netgraph/core/detail/flow_core.hpp" -#include "netgraph/core/detail/pred_dag_builder.hpp" -#include "netgraph/core/detail/private_hooks.hpp" -#include "netgraph/core/detail/traversal.hpp" -#include "netgraph/core/eligibility.hpp" -#include "netgraph/core/evaluators.hpp" -#include "netgraph/core/flow_ledger.hpp" -#include "netgraph/core/flow_policy.hpp" -#include "netgraph/core/flow_record.hpp" -#include "netgraph/core/graph.hpp" -#include "netgraph/core/options.hpp" -#include "netgraph/core/pred_dag.hpp" -#include "netgraph/core/search.hpp" -#include "netgraph/core/types.hpp" -#if NETGRAPH_CORE_PRIVATE_HOOKS -#include - -#include "netgraph/core/detail/kernels.hpp" -#include "netgraph/core/detail/ledger_access.hpp" -#include "netgraph/core/detail/policy_engine.hpp" -#include "netgraph/core/detail/trace.hpp" -#endif +#include "registration.hpp" namespace py = pybind11; using namespace netgraph::core; -namespace { - -// Read-only NumPy view of a span owned by `owner`. -template -py::array readonly_view(std::span s, const py::handle& owner, const py::dtype& dtype) { - static constexpr T empty_element {}; - py::array arr(dtype, {static_cast(s.size())}, {static_cast(sizeof(T))}, - s.empty() ? &empty_element : s.data(), owner); - py::detail::array_proxy(arr.ptr())->flags &= ~py::detail::npy_api::NPY_ARRAY_WRITEABLE_; - return arr; -} - -template -py::array readonly_view(std::span s, const py::handle& owner) { - return readonly_view(s, owner, py::dtype::of()); -} - -bool is_bool(const py::handle& obj) { - return PyBool_Check(obj.ptr()) || py::isinstance(obj, py::module_::import("numpy").attr("bool_")); -} - -// The Python int of an integer-like object (a Python int or a NumPy integer scalar); bools and -// everything else are rejected. -py::object python_int(const py::handle& item, const std::string& what) { - if (is_bool(item) || !PyIndex_Check(item.ptr())) { - throw py::value_error(what + " must be an integer (got " + - std::string(py::str(py::type::of(item).attr("__name__"))) + ")"); - } - py::object idx = py::reinterpret_steal(PyNumber_Index(item.ptr())); - if (!idx) throw py::error_already_set(); - return idx; -} - -// One integer of [lo, hi] (scalar arguments). -std::int64_t integer_value(const py::handle& item, std::int64_t lo, std::int64_t hi, const std::string& what) { - py::object idx = python_int(item, what); - int overflow = 0; - const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); - if (overflow != 0 || v < lo || v > hi) { - throw py::value_error(what + " = " + std::string(py::str(idx)) + " is out of range [" + - std::to_string(lo) + ", " + std::to_string(hi) + "]"); - } - return static_cast(v); -} - -// A 1-D integer sequence read without narrowing: every entry's int64 value where it fits, and -// the sign of the overflow where it does not (+1 above INT64_MAX, -1 below INT64_MIN). Only type -// defects raise here (a non-integer, a bool, a float array, a non-sequence); every value bound -// is checked by the caller in the contract's order, so the reported error does not depend on -// the representation of the input (APPROACH 3, revision 25). -struct WideInts { - py::object source; - std::vector value; - std::vector overflow; // empty when no entry overflows - [[nodiscard]] std::size_t size() const noexcept { return value.size(); } - [[nodiscard]] int sign(std::size_t i) const noexcept { return overflow.empty() ? 0 : overflow[i]; } - // The entry as Python prints it (exact also beyond int64). - [[nodiscard]] std::string text(std::size_t i) const { - if (sign(i) == 0) return std::to_string(value[i]); - return std::string(py::str(source[py::int_(i)])); - } - [[nodiscard]] bool in(std::size_t i, std::int64_t lo, std::int64_t hi) const noexcept { - return sign(i) == 0 && value[i] >= lo && value[i] <= hi; - } - // The entry as an exact Python int (an overflowing entry compared with another). - [[nodiscard]] py::object exact(std::size_t i) const { - py::object item = source[py::int_(i)]; - return py::reinterpret_steal(PyNumber_Index(item.ptr())); - } - template - [[nodiscard]] std::vector narrow() const { // after every bound was checked - return std::vector(value.begin(), value.end()); - } -}; - -bool not_a_sequence(const py::handle& obj) { - return py::isinstance(obj) || py::isinstance(obj) || !py::isinstance(obj); -} - -WideInts wide_integers(const py::handle& obj, const char* name) { - WideInts out; - out.source = py::reinterpret_borrow(obj); - if (py::isinstance(obj)) { - auto arr = py::reinterpret_borrow(obj); - if (arr.ndim() != 1) { - throw py::value_error(std::string(name) + " must be a 1-D array (got " + std::to_string(arr.ndim()) + - " dimensions)"); - } - const char kind = arr.dtype().kind(); - if (kind != 'i' && kind != 'u') { - throw py::value_error(std::string(name) + " entries must be integers (got dtype " + - std::string(py::str(arr.dtype())) + ")"); - } - out.value.reserve(static_cast(arr.size())); - if (kind == 'u' && arr.itemsize() == 8) { - auto u = py::array_t::ensure(arr); - auto r = u.unchecked<1>(); - constexpr auto kMax = static_cast(std::numeric_limits::max()); - for (py::ssize_t i = 0; i < r.shape(0); ++i) { - if (r(i) > kMax) { - if (out.overflow.empty()) out.overflow.assign(static_cast(r.shape(0)), 0); - out.overflow[static_cast(i)] = 1; - out.value.push_back(std::numeric_limits::max()); - } else { - out.value.push_back(static_cast(r(i))); - } - } - return out; - } - auto a = py::array_t::ensure(arr); - auto r = a.unchecked<1>(); - for (py::ssize_t i = 0; i < r.shape(0); ++i) out.value.push_back(r(i)); - return out; - } - if (not_a_sequence(obj)) throw py::value_error(std::string(name) + " must be a sequence of integers"); - auto seq = py::reinterpret_borrow(obj); - const std::size_t n = seq.size(); - out.value.reserve(n); - for (std::size_t i = 0; i < n; ++i) { - py::object idx = python_int(seq[i], std::string(name) + "[" + std::to_string(i) + "]"); - int overflow = 0; - const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); - if (overflow != 0) { - if (out.overflow.empty()) out.overflow.assign(n, 0); - out.overflow[i] = static_cast(overflow); - out.value.push_back(overflow > 0 ? std::numeric_limits::max() - : std::numeric_limits::min()); - } else { - out.value.push_back(static_cast(v)); - } - } - return out; -} - -// An entry that is itself a sequence or an array of rank >= 1 (a shape defect of its argument). -bool is_nested(const py::handle& item) { - if (py::isinstance(item)) return py::reinterpret_borrow(item).ndim() >= 1; - return !py::isinstance(item) && !py::isinstance(item) && PySequence_Check(item.ptr()) != 0; -} - -// The shape step: the length of a rank-1 integer sequence argument. A NumPy array of another -// rank (0-D included), a nested sequence or a non-sequence is a shape defect. Entry types and -// values are not read here; their steps come later. -std::size_t sequence_length(const py::handle& obj, const char* name) { - if (py::isinstance(obj)) { - auto arr = py::reinterpret_borrow(obj); - if (arr.ndim() != 1) { - throw py::value_error(std::string(name) + " must be a 1-D array (got " + std::to_string(arr.ndim()) + - " dimensions)"); - } - return static_cast(arr.size()); - } - if (not_a_sequence(obj)) { - throw py::value_error(std::string(name) + " must be a 1-D sequence of integers (got " + - std::string(py::str(py::type::of(obj).attr("__name__"))) + ")"); - } - auto seq = py::reinterpret_borrow(obj); - const std::size_t n = seq.size(); - for (std::size_t i = 0; i < n; ++i) { - if (is_nested(seq[i])) { - throw py::value_error(std::string(name) + " must be a 1-D sequence of integers (entry " + std::to_string(i) + - " is a sequence)"); - } - } - return n; -} - -// The unit-value step on the capacity argument whatever its shape (the shape step comes next): -// every integer entry it holds must lie in [0, 2^62). A NumPy array is read flattened; nested -// entries of a Python sequence and a non-integer non-sequence are left to the shape step. -void check_unit_values(const py::handle& capacity_units) { - const auto out_of_domain = [](const std::string& what, const std::string& value) { - return py::value_error(what + " = " + value + " is outside the units domain [0, 2^62)"); - }; - if (py::isinstance(capacity_units)) { - py::object flat = capacity_units.attr("ravel")(); - const auto w = wide_integers(flat, "capacity_units"); - for (std::size_t i = 0; i < w.size(); ++i) { - if (!w.in(i, 0, kDomainLimit - 1)) throw out_of_domain("capacity_units[" + std::to_string(i) + "]", w.text(i)); - } - return; - } - if (!not_a_sequence(capacity_units)) { - auto seq = py::reinterpret_borrow(capacity_units); - for (std::size_t i = 0; i < seq.size(); ++i) { - py::object item = seq[i]; - if (is_nested(item)) continue; - const std::string what = "capacity_units[" + std::to_string(i) + "]"; - py::object idx = python_int(item, what); - int overflow = 0; - const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); - if (overflow != 0 || v < 0 || v >= kDomainLimit) throw out_of_domain(what, std::string(py::str(idx))); - } - return; - } - if (!is_bool(capacity_units) && PyIndex_Check(capacity_units.ptr())) { - py::object idx = python_int(capacity_units, "capacity_units"); - int overflow = 0; - const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); - if (overflow != 0 || v < 0 || v >= kDomainLimit) throw out_of_domain("capacity_units", std::string(py::str(idx))); - } -} - -// Validates a resolution (a power of two in [2^-32, 2^32]) and returns its exponent. -int resolution_exponent(double resolution) { - (void)as_float(0, resolution); // throws the resolution message - return std::ilogb(resolution); -} - -// Physical numbers as a float64 array (or a 0-d array for a scalar); bools and strings rejected. -py::array_t physical_array(const py::handle& x) { - if (is_bool(x) || py::isinstance(x) || py::isinstance(x)) { - throw py::value_error("to_units takes physical numbers (a float or an array of floats)"); - } - auto np = py::module_::import("numpy"); - py::array raw = np.attr("asarray")(x); - const char kind = raw.dtype().kind(); - if (kind != 'f' && kind != 'i' && kind != 'u') { - throw py::value_error("to_units takes physical numbers (got dtype " + std::string(py::str(raw.dtype())) + ")"); - } - return py::array_t::ensure(raw); -} - -// x * 2^k for an unbounded Python int, correctly rounded: Python's int shift and int true -// division are exact or correctly rounded, so only a result beyond the finite doubles fails. -double scaled_python_int(const py::object& x, int k) { - try { - py::object r; - if (k >= 0) { - r = py::float_(x.attr("__lshift__")(py::int_(k))); - } else { - r = x.attr("__truediv__")(py::int_(1).attr("__lshift__")(py::int_(-k))); - } - return r.cast(); - } catch (py::error_already_set& e) { - if (e.matches(PyExc_OverflowError)) { - throw py::value_error("as_float: " + std::string(py::str(x)) + - " units times the resolution exceed the largest finite double"); - } - throw; - } -} - -// One Amount to a physical double; the resolution's exponent k is already validated. -double amount_as_float(const py::handle& item, int k, double resolution) { - py::object idx = python_int(item, "as_float: x"); - int overflow = 0; - const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); - if (overflow == 0) return as_float(static_cast(v), resolution); - return scaled_python_int(idx, k); -} - -std::shared_ptr make_graph(const py::object& num_nodes, const py::object& src, - const py::object& dst, const py::object& capacity_units, - const py::object& cost, double resolution) { - // APPROACH 3 (revision 25): the resolution, the unit values, the shapes, zero or negative - // costs, the remaining bounds (ids in range, then the sums); every value is read without - // narrowing, and the messages are the constructor's, which re-checks the same order. - (void)resolution_exponent(resolution); - check_unit_values(capacity_units); - // The shapes: num_nodes, then every array argument rank 1 (in signature order), then equal - // lengths; no entry of src, dst or cost is read before the cost step. - const auto n = integer_value(num_nodes, 0, std::numeric_limits::max(), "num_nodes"); - const std::size_t m = sequence_length(src, "src"); - const std::size_t md = sequence_length(dst, "dst"); - const std::size_t mu = sequence_length(capacity_units, "capacity_units"); - const std::size_t mc = sequence_length(cost, "cost"); - if (md != m || mu != m || mc != m) { - throw py::value_error("src, dst, capacity_units and cost must have the same length (got " + - std::to_string(m) + ", " + std::to_string(md) + ", " + std::to_string(mu) + ", " + - std::to_string(mc) + ")"); - } - const auto cap = wide_integers(capacity_units, "capacity_units"); // rank 1, values checked - if (m > static_cast(std::numeric_limits::max())) { - throw py::value_error("the number of edges exceeds INT32_MAX (array length)"); - } - const auto w = wide_integers(cost, "cost"); - for (std::size_t i = 0; i < m; ++i) { - if (w.sign(i) < 0 || (w.sign(i) == 0 && w.value[i] < 1)) { - throw py::value_error("cost[" + std::to_string(i) + "] = " + w.text(i) + ": costs must be positive (cost >= 1)"); - } - } - const auto s = wide_integers(src, "src"); - const auto d = wide_integers(dst, "dst"); - for (std::size_t i = 0; i < m; ++i) { - if (!s.in(i, 0, n - 1) || !d.in(i, 0, n - 1)) { - throw py::value_error("edge " + std::to_string(i) + ": endpoint (" + s.text(i) + ", " + d.text(i) + - ") out of node range [0, " + std::to_string(n) + ")"); - } - } - constexpr auto kLimit = static_cast(kDomainLimit); - std::uint64_t cap_sum = 0; - std::uint64_t cost_sum = 0; - for (std::size_t i = 0; i < m; ++i) { - cap_sum += static_cast(cap.value[i]); // each below 2^62: no wrap before the check - if (cap_sum >= kLimit) { - throw py::value_error("the sum of all capacities reaches the bound of the units domain (2^62 units)"); - } - if (w.sign(i) > 0 || static_cast(w.value[i]) >= kLimit - cost_sum) { - throw py::value_error("the sum of all edge costs reaches the bound 2^62: path costs would overflow int64"); - } - cost_sum += static_cast(w.value[i]); - } - auto cap_v = cap.narrow(); - auto cost_v = w.narrow(); - auto src_v = s.narrow(); - auto dst_v = d.narrow(); - py::gil_scoped_release release; - return std::make_shared(static_cast(n), src_v, dst_v, cap_v, cost_v, resolution); -} - - -// ---------------------------------------------------------------- ledger, records, requests - -// The exact order of wide integers: a positive overflow above every int64, a negative one -// below, and two overflows on the same side by their exact values (review-1b D2). -bool wide_less(const WideInts& w, std::size_t i, std::size_t j) { - if (w.sign(i) != w.sign(j)) return w.sign(i) < w.sign(j); - if (w.sign(i) == 0) return w.value[i] < w.value[j]; - const int less = PyObject_RichCompareBool(w.exact(i).ptr(), w.exact(j).ptr(), Py_LT); - if (less < 0) throw py::error_already_set(); - return less == 1; -} - -// A per-edge integer array in [0, capacity_units[e]] (a ledger baseline, a search residual), -// validated on the unnarrowed values: the length (shape step), then every entry. -std::vector edge_units(const py::object& obj, const Graph& g, const char* name) { - const auto num_edges = static_cast(g.num_edges()); - const std::size_t len = sequence_length(obj, name); - if (len != num_edges) { - throw py::value_error(std::string(name) + " has length " + std::to_string(len) + ", expected " + - std::to_string(num_edges) + " (one entry per edge)"); - } - const auto v = wide_integers(obj, (std::string(name) + " (units)").c_str()); - const auto capacity = g.capacity_units(); - for (std::size_t e = 0; e < num_edges; ++e) { - if (!v.in(e, 0, capacity[e])) { - throw py::value_error(std::string(name) + "[" + std::to_string(e) + "] = " + v.text(e) + " is outside [0, capacity_units[" + - std::to_string(e) + "] = " + std::to_string(capacity[e]) + "]"); - } - } - return v.narrow(); -} - -// A node set's ids, non-empty and range-checked before narrowing (detail::node_set's messages). -std::vector checked_ids(const WideInts& ids, std::int32_t num_nodes, const char* name) { - if (ids.size() == 0) throw py::value_error(detail::empty_set_error(name)); - for (std::size_t i = 0; i < ids.size(); ++i) { - if (!ids.in(i, 0, static_cast(num_nodes) - 1)) { - throw py::value_error(detail::node_range_error(name, ids.text(i), num_nodes)); - } - } - return ids.narrow(); -} - -// A node set: one NodeId or a sequence of them. -std::vector node_ids(const py::object& obj, std::int32_t num_nodes, const char* name) { - if (!is_bool(obj) && PyIndex_Check(obj.ptr()) && !py::isinstance(obj)) { - py::list one; - one.append(obj); - return checked_ids(wide_integers(one, name), num_nodes, name); - } - return checked_ids(wide_integers(obj, name), num_nodes, name); -} - -// One NodeId of [0, num_nodes) (a single endpoint); the range message of detail/endpoints.hpp. -NodeId endpoint(const py::object& obj, std::int32_t num_nodes, const char* name) { - const py::object idx = python_int(obj, name); - int overflow = 0; - const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); - if (overflow != 0 || v < 0 || v >= num_nodes) { - throw py::value_error(detail::node_range_error(name, std::string(py::str(idx)), num_nodes)); - } - return static_cast(v); -} - -// A count of at least 1 (KSP's k, the resolver's max_paths): the rule-13 message below 1; a count -// above INT64_MAX means the same as INT64_MAX (no list reaches it). -std::int64_t count_of(const py::object& obj, const char* name) { - const py::object idx = python_int(obj, name); - if (PyObject_RichCompareBool(idx.ptr(), py::int_(1).ptr(), Py_LT) == 1) { - throw py::value_error(std::string(name) + " must be >= 1 (got " + std::string(py::str(idx)) + ")"); - } - int overflow = 0; - const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); - return overflow != 0 ? std::numeric_limits::max() : static_cast(v); -} - -// A request: an integer number of units in [0, 2^62) or +inf (float('inf')); nullopt is +inf. -std::optional request_units(const py::object& volume) { - if (py::isinstance(volume) || py::isinstance(volume, py::module_::import("numpy").attr("floating"))) { - const double x = volume.cast(); - if (std::isinf(x) && x > 0) return std::nullopt; - throw py::value_error("requests are integer units or +inf (a physical request goes through to_units first; got " + - std::string(py::str(volume)) + ")"); - } - const auto v = integer_value(volume, 0, kDomainLimit - 1, "request (units)"); - return static_cast(v); -} - -py::object counter_int(const Counter128& c) { - py::int_ hi(c.hi); - py::int_ lo(c.lo); - return hi.attr("__lshift__")(py::int_(64)).attr("__or__")(lo); -} - -py::object cost_or_none(Cost c) { return c == kUnreachable ? py::object(py::none()) : py::object(py::int_(c)); } - -py::array_t int64_array(const std::vector& v) { - py::array_t out(static_cast(v.size())); - std::copy(v.begin(), v.end(), out.mutable_data()); - return out; -} - -FlowId flow_id_of(const py::object& obj) { - if (!py::isinstance(obj) || py::len(obj) != 2) { - throw py::value_error("a FlowId is a tuple (ledger uid, id)"); - } - auto t = py::reinterpret_borrow(obj); - py::object uid = python_int(t[0], "FlowId ledger uid"); - py::object id = python_int(t[1], "FlowId id"); - int o1 = 0, o2 = 0; - const unsigned long long u = PyLong_AsUnsignedLongLong(uid.ptr()); - if (PyErr_Occurred()) { - PyErr_Clear(); - o1 = 1; - } - const long long i = PyLong_AsLongLongAndOverflow(id.ptr(), &o2); - if (o1 != 0 || o2 != 0 || i < 0) { - throw py::value_error("FlowId (" + std::string(py::str(uid)) + ", " + std::string(py::str(id)) + ") is retired or unknown"); - } - return FlowId {static_cast(u), static_cast(i)}; -} - -py::list pairs_list(const std::vector>& v) { - py::list out; - for (const auto& [e, x] : v) out.append(py::make_tuple(e, x)); - return out; -} - -py::list int_list(const std::vector& v) { - py::list out(v.size()); - for (std::size_t i = 0; i < v.size(); ++i) out[i] = py::int_(v[i]); - return out; -} - - -// The Python form of CapacityOptions and SensitivityOptions: the Eligibility and the cache are -// held by reference count for the call (the C++ structs borrow raw pointers). -struct PyCapacityOptions { - FlowPolicyConfig config; - std::shared_ptr elig; - std::shared_ptr cache; - OutputOptions outputs; -}; -struct PySensitivityOptions { - FlowPolicyConfig config; - std::shared_ptr elig; - std::shared_ptr cache; - OutputOptions outputs; -}; - -// The Python form of SpfOptions: the arguments as given (targets, residual and min_residual are -// validated at the call, in the contract's order, on their unnarrowed values); the Eligibility is -// held by reference count. -struct PySpfOptions { - Direction direction; - PathSelection selection; - py::object targets; - py::object residual; - py::object min_residual; - std::shared_ptr elig; -}; - -// The Python form of KspOptions: the arguments as given (k, max_path_cost and residual are -// validated at the call, in the contract's order, on their unnarrowed values). -struct PyKspOptions { - py::object k; - PathSelection selection; - py::object max_path_cost; - py::object residual; - std::shared_ptr elig; -}; - -// The Python form of SpfResult: every field already a Python object (made by the call through -// the checked allocations), so reading one allocates nothing. -struct PySpfResult { - py::object costs; // a read-only int64 array (full searches) or None - py::object dag; // PredDAG - py::object target_cost; // an int, or None (no target reached, or a full search) -}; - -// ---------------------------------------------------------------- policies and evaluators - -// An optional int field of [lo, hi] (None allowed when `optional`); bools and floats rejected. -std::optional int_field(const py::object& obj, std::int64_t lo, std::int64_t hi, const std::string& what, - bool optional) { - if (obj.is_none()) { - if (optional) return std::nullopt; - throw py::value_error(what + " must be an integer (got None)"); - } - return integer_value(obj, lo, hi, what); -} - -double float_field(const py::object& obj, const std::string& what) { - if (is_bool(obj) || !(py::isinstance(obj) || PyIndex_Check(obj.ptr()) || - py::isinstance(obj, py::module_::import("numpy").attr("floating")))) { - throw py::value_error(what + " must be a number (got " + std::string(py::str(py::type::of(obj).attr("__name__"))) + - ")"); - } - return obj.cast(); -} - -py::object remaining_obj(const std::optional& r) { - return r.has_value() ? py::object(py::int_(*r)) : py::object(py::float_(std::numeric_limits::infinity())); -} - -Routing routing_of(const py::object& obj) { - if (py::isinstance(obj)) return obj.cast(); - if (py::isinstance(obj)) return obj.cast(); - if (py::isinstance(obj)) return obj.cast(); - if (py::isinstance(obj)) return obj.cast(); - throw py::type_error("routing must be CostOnly, CapacityAware, Global or Pinned (got " + - std::string(py::str(py::type::of(obj).attr("__name__"))) + ")"); -} - -py::object routing_obj(const Routing& r) { - return std::visit([](const auto& x) { return py::cast(x); }, r); -} - -// workers: an explicit integer is passed through (validated by the evaluator); None takes the -// environment default (detail::default_workers), and 1 whenever a cache is supplied (the -// building cache's one writer; APPROACH 10, 11). -std::int32_t workers_of(const py::object& workers, bool sensitivity, bool cache_given) { - if (!workers.is_none()) { - return static_cast(integer_value(workers, std::numeric_limits::min(), - std::numeric_limits::max(), "workers")); - } - if (cache_given) return 1; - return detail::default_workers(sensitivity); -} - -OutputOptions outputs_of(const py::object& obj) { - if (obj.is_none()) return OutputOptions {}; - if (!py::isinstance(obj)) { - throw py::type_error("outputs must be an OutputOptions (got " + std::string(py::str(py::type::of(obj).attr("__name__"))) + - ")"); - } - return obj.cast(); -} - -template -Options options_of(const py::object& obj, const char* name) { - if (!py::isinstance(obj)) { - throw py::type_error(std::string(name) + " expected (got " + std::string(py::str(py::type::of(obj).attr("__name__"))) + - ")"); - } - return obj.cast(); -} - -// A new Python object of the bound class T owning a default-constructed T, made as pybind11's -// generic move-cast makes one (type_caster_generic::cast) but with the object allocation -// checked: pybind11's make_new_instance uses the result of tp_alloc unchecked, so a failed -// Python allocation there is a crash rather than a MemoryError. Every failure here raises, and -// the half-built object is released on unwinding (its value is deleted, nothing registered). -// The policy calls make their result object with this before anything is published. -template -std::pair new_object() { - const py::detail::type_info* tinfo = py::detail::get_type_info(typeid(T), /*throw_if_missing=*/true); - PyTypeObject* type = tinfo->type; - PyObject* raw = type->tp_alloc(type, 0); - if (raw == nullptr) throw py::error_already_set(); - auto obj = py::reinterpret_steal(raw); - auto* inst = reinterpret_cast(raw); - inst->allocate_layout(); - inst->owned = false; - auto* value = new T(); - py::detail::values_and_holders(inst).begin()->value_ptr() = value; - inst->owned = true; - tinfo->init_instance(inst, nullptr); - return {std::move(obj), value}; -} - -// The value moved into its result object after the commit: nothing may allocate there. -static_assert(std::is_nothrow_move_assignable_v); -static_assert(std::is_nothrow_move_assignable_v); -static_assert(std::is_nothrow_move_assignable_v); - -template -py::object object_of(T value) { - auto [obj, slot] = new_object(); - *slot = std::move(value); - return std::move(obj); -} - -// A new Python object of the bound class T (held by std::shared_ptr) owning `value`, through the -// same checked allocation as new_object: for the values without a default constructor (PredDAG, -// Path) that a search returns. A failure raises and releases everything made so far. -template -py::object object_from(T value) { - const py::detail::type_info* tinfo = py::detail::get_type_info(typeid(T), /*throw_if_missing=*/true); - PyTypeObject* type = tinfo->type; - PyObject* raw = type->tp_alloc(type, 0); - if (raw == nullptr) throw py::error_already_set(); - auto obj = py::reinterpret_steal(raw); - auto* inst = reinterpret_cast(raw); - inst->allocate_layout(); - inst->owned = false; - auto* held = new T(std::move(value)); - py::detail::values_and_holders(inst).begin()->value_ptr() = held; - inst->owned = true; - tinfo->init_instance(inst, nullptr); - return obj; -} - - -// ---------------------------------------------------------------- private hooks - -#if NETGRAPH_CORE_PRIVATE_HOOKS - -// A trace value as Python objects (map keys that are decimal integers become ints: the maps -// keyed by source NodeId). -py::object trace_obj(const detail::Trace& t) { - using K = detail::Trace::Kind; - switch (t.kind) { - case K::Null: return py::none(); - case K::Bool: return py::bool_(t.b); - case K::Int: return py::int_(t.i); - case K::Str: return py::str(t.s); - case K::List: { - py::list out; - for (const auto& x : t.items) out.append(trace_obj(x)); - return out; - } - case K::Map: { - py::dict out; - for (const auto& [k, x] : t.fields) { - const bool digits = !k.empty() && std::all_of(k.begin(), k.end(), [](char ch) { return ch >= '0' && ch <= '9'; }); - if (digits) { - out[py::int_(std::stoll(k))] = trace_obj(x); - } else { - out[py::str(k)] = trace_obj(x); - } - } - return out; - } - } - return py::none(); -} - -// The epoch state of a policy (roster, requested, +inf, per roster source the flows). -py::dict state_obj(const FlowPolicy& policy) { - const auto& pe = detail::PolicyAccess::engine(policy); - py::dict out; - const auto& r = pe.config.routing; - out["mode"] = std::holds_alternative(r) ? "CostOnly" - : std::holds_alternative(r) ? "CapacityAware" - : std::holds_alternative(r) ? "Global" - : "Pinned"; - out["roster"] = pe.roster; - out["requested"] = counter_int(pe.requested); - out["infinite"] = pe.infinite; - out["placed_demand"] = policy.placed_demand(); - py::dict cohorts; - for (std::size_t i = 0; i < pe.roster.size(); ++i) { - py::list flows; - for (const auto& s : pe.cohorts[i]) { - const FlowRecord& rec = detail::LedgerAccess::live(pe.fg, s.id); - py::dict f; - f["flow_id"] = py::make_tuple(rec.flow_id.first, rec.flow_id.second); - f["src"] = s.src; - if (s.plan) { - f["route"] = s.plan->route; - } else { - const auto edges = detail::PredDAGBuilder::ascending(*s.bundle); - f["route"] = std::vector(edges.begin(), edges.end()); - } - f["members"] = s.plan ? py::cast(s.plan->members) : py::object(py::none()); - f["weights"] = s.plan && s.plan->placement == FlowPlacement::Weighted ? py::cast(s.plan->weights) - : py::object(py::none()); - f["T"] = rec.delivered; - f["delivered"] = rec.delivered; - f["alloc"] = pairs_list(rec.edges); - f["bundle_index"] = s.bundle_index < 0 ? py::object(py::none()) : py::object(py::int_(s.bundle_index)); - flows.append(f); - } - cohorts[py::int_(pe.roster[i])] = flows; - } - out["cohorts"] = cohorts; - return out; -} - -// The allocation-failure hook: the k-th object-domain allocation fails (Python's allocator -// wrapped for one call, then restored). The allocator is process-wide while the call runs, so -// the hook serves one caller at a time (the tests); its counters are atomics because the module -// does not hold the GIL for every thread (mod_gil_not_used). -PyMemAllocatorEx g_saved_allocator {}; -std::atomic g_fail_countdown {-1}; -std::atomic g_fail_seen {0}; -std::atomic g_fail_hit {false}; - -bool fail_now() { - g_fail_seen.fetch_add(1); - if (g_fail_countdown.load() < 0) return false; - if (g_fail_countdown.fetch_sub(1) == 0) { - g_fail_hit.store(true); - return true; - } - return false; -} -void* failing_malloc(void*, std::size_t n) { return fail_now() ? nullptr : g_saved_allocator.malloc(g_saved_allocator.ctx, n); } -void* failing_calloc(void*, std::size_t n, std::size_t size) { - return fail_now() ? nullptr : g_saved_allocator.calloc(g_saved_allocator.ctx, n, size); -} -void* failing_realloc(void*, void* ptr, std::size_t n) { - return fail_now() ? nullptr : g_saved_allocator.realloc(g_saved_allocator.ctx, ptr, n); -} -void forwarding_free(void*, void* ptr) { g_saved_allocator.free(g_saved_allocator.ctx, ptr); } - -#endif - -} // namespace - PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { m.doc() = "NetGraph-Core: the graph on integer units, the route structures, the integer ledger, the policy\n" - "engine FlowPolicy, the DagCache and the evaluators (capacity, batch_capacity, sensitivity).\n" - "Every public call is all-or-nothing up to its caller (APPROACH 13), with two limits: (1) the pybind11\n" - "object machinery is outside the guarantee: constructing a bound object from Python, or reading an\n" - "attribute or method value converted into a new bound object or container outside the staged calls,\n" - "allocates through pybind11's make_new_instance, which does not check the result of tp_alloc, so a\n" - "Python allocation failure at that point crashes the process, with Core state unchanged; (2) a supplied\n" - "building DagCache is a memo: it keeps the complete entries and statistics of the lookups that\n" - "succeeded before a later failure of the call."; - - py::enum_(m, "FlowPlacement", - "The kernel of one flow: MAX_FLOW (the minimum-cost flow core on the flow's split graph,\n" - "a replacement on V = W + own), WEIGHTED (hop-by-hop WCMP: highest averages over frozen\n" - "weights at every node), EQUAL_BALANCED (ECMP: round robin at every node).") - .value("MAX_FLOW", FlowPlacement::MaxFlow) - .value("WEIGHTED", FlowPlacement::Weighted) - .value("EQUAL_BALANCED", FlowPlacement::EqualBalanced); - - py::enum_(m, "Admission", - "LOSSLESS admits only what fits; LOSSY forwards hop by hop without admission control and\n" - "drops what does not fit on each edge (EQUAL_BALANCED and WEIGHTED only).") - .value("LOSSLESS", Admission::Lossless) - .value("LOSSY", Admission::Lossy); - - py::enum_(m, "EdgeTieBreak", - "Ties between equal-cost candidates (parallel members and equal-cost walks):\n" - "DETERMINISTIC (lowest EdgeId; capacities ignored) or PREFER_HIGHER_PRIORITY (the higher\n" - "priority value first, then the lowest EdgeId).") - .value("DETERMINISTIC", EdgeTieBreak::Deterministic) - .value("PREFER_HIGHER_PRIORITY", EdgeTieBreak::PreferHigherPriority); - - py::enum_(m, "EdgePriority", - "The per-edge value PREFER_HIGHER_PRIORITY reads, and the Weighted kernel's membership and\n" - "weights: RESIDUAL (residual units), CAPACITY (static capacity units), HEADROOM (the exact\n" - "rational residual / capacity; rejected with WEIGHTED).") - .value("RESIDUAL", EdgePriority::Residual) - .value("CAPACITY", EdgePriority::Capacity) - .value("HEADROOM", EdgePriority::Headroom); - - py::enum_(m, "Direction", - "The orientation of a search: FORWARD from the roots, or REVERSE (rooted at the roots over\n" - "reversed arcs; the DAG it returns is forward-oriented, toward the roots).") - .value("FORWARD", Direction::Forward) - .value("REVERSE", Direction::Reverse); - - py::class_(m, "PathSelection", - "The selection of a search: tie_break and priority are explicit; multipath = True keeps\n" - "every equal-cost walk (the DAG), False the one canonical single path; multi_edge = True\n" - "keeps every eligible parallel member, False one per (u, v) pair. A tie_break or priority\n" - "outside its enumeration raises ValueError.") - // The constructor checks both enumerations (ValueError naming the field). - .def(py::init(), py::arg("tie_break"), py::arg("priority"), - py::arg("multipath") = true, py::arg("multi_edge") = true) - .def_readonly("tie_break", &PathSelection::tie_break) - .def_readonly("priority", &PathSelection::priority) - .def_readonly("multipath", &PathSelection::multipath) - .def_readonly("multi_edge", &PathSelection::multi_edge) - .def("__eq__", [](const PathSelection& a, const py::object& b) { - return py::isinstance(b) && a == b.cast(); - }) - .def("__hash__", [](const PathSelection& a) { - return py::hash(py::make_tuple(static_cast(a.tie_break), static_cast(a.priority), a.multipath, - a.multi_edge)); - }) - .def("__repr__", [](const PathSelection& a) { - return std::string("PathSelection(tie_break=") + - (a.tie_break == EdgeTieBreak::Deterministic ? "DETERMINISTIC" : "PREFER_HIGHER_PRIORITY") + - ", priority=" + - (a.priority == EdgePriority::Residual ? "RESIDUAL" - : (a.priority == EdgePriority::Capacity ? "CAPACITY" : "HEADROOM")) + - ", multipath=" + (a.multipath ? "True" : "False") + ", multi_edge=" + (a.multi_edge ? "True" : "False") + - ")"; - }); - - m.def( - "to_units", - [](const py::object& x, double resolution) -> py::object { - (void)resolution_exponent(resolution); // before the shape: an empty array is no exemption - auto arr = physical_array(x); - if (arr.ndim() == 0) return py::int_(to_units(*arr.data(), resolution)); - if (arr.ndim() != 1) throw py::value_error("to_units takes a float or a 1-D array of floats"); - py::array_t out(arr.size()); - auto in = arr.unchecked<1>(); - auto o = out.mutable_unchecked<1>(); - for (py::ssize_t i = 0; i < in.shape(0); ++i) o(i) = to_units(in(i), resolution); - return std::move(out); - }, - py::arg("x"), py::arg("resolution"), - "Physical value(s) to units of the resolution q, rounding half up: an int for a scalar, an\n" - "int64 array for an array. NaN, infinity, negative values and results at or above 2^62\n" - "units raise ValueError; q must be a power of two in [2^-32, 2^32]."); - - m.def( - "as_float", - [](const py::object& x, double resolution) -> py::object { - const int k = resolution_exponent(resolution); // before the shape (review-1a D3) - const bool array = py::isinstance(x) && py::reinterpret_borrow(x).ndim() > 0; - if (array || !not_a_sequence(x)) { - const auto v = wide_integers(x, "as_float: x"); - py::array_t out(static_cast(v.size())); - auto o = out.mutable_unchecked<1>(); - for (std::size_t i = 0; i < v.size(); ++i) { - o(static_cast(i)) = v.sign(i) == 0 ? as_float(v.value[i], resolution) - : amount_as_float(v.source[py::int_(i)], k, resolution); - } - return std::move(out); - } - return py::float_(amount_as_float(x, k, resolution)); - }, - py::arg("x"), py::arg("resolution"), - "Units to physical value(s): x * q, correctly rounded (exact below 2^53 units). An int, of\n" - "any size, gives a float, an integer array a float64 array; a result beyond the finite\n" - "doubles raises ValueError; q must be a power of two in [2^-32, 2^32]."); - - py::class_>( - m, "Eligibility", - "Immutable, graph-bound static eligibility: dense node and edge flags. Built by\n" - "Graph.eligibility(excluded_nodes, excluded_edges).") - .def("graph_uid", &Eligibility::graph_uid, "uid of the graph this value belongs to") - .def("uid", &Eligibility::uid, "0 for the all-allowed value, a fresh uid otherwise") - .def( - "node_allowed", - [](const py::object& self) { - const auto& el = self.cast(); - return readonly_view(el.node_allowed(), self, py::dtype("bool")); - }, - "bool[N] read-only view") - .def( - "edge_allowed", - [](const py::object& self) { - const auto& el = self.cast(); - return readonly_view(el.edge_allowed(), self, py::dtype("bool")); - }, - "bool[E] read-only view (not excluded and both endpoints allowed)") - .def_static( - "intersect", - [](const std::shared_ptr& a, const std::shared_ptr& b) -> std::shared_ptr { - if (!a || !b) throw py::value_error("Eligibility.intersect takes two Eligibility values"); - auto r = Eligibility::intersect(*a, *b); - if (r.uid() == a->uid()) return a; - if (r.uid() == b->uid()) return b; - return std::make_shared(std::move(r)); - }, - py::arg("a"), py::arg("b"), - "The intersection of two values of one graph (ValueError for values of different graphs):\n" - "an operand itself when the result equals it (a first, then b), otherwise a new value with a\n" - "fresh uid; equal intersections built separately get distinct uids."); - - py::class_>( - m, "Graph", - "Immutable directed multigraph on integer units. Edges are given in input order; the\n" - "public EdgeId is the rank in the stable order (src, cost, dst, input), input_index()[e]\n" - "is the input position of e, and every other per-edge array is in id order. Costs are\n" - "positive integers; capacities are int64 units of the explicit resolution q (a power of\n" - "two in [2^-32, 2^32]); physical capacities enter through to_units.") - .def(py::init(&make_graph), py::arg("num_nodes"), py::arg("src"), py::arg("dst"), - py::arg("capacity_units"), py::arg("cost"), py::arg("resolution"), - "Validates, in order, and reports the first defect as ValueError: the resolution (a power of\n" - "two in [2^-32, 2^32]), the unit values (every capacity in [0, 2^62)), the array shapes,\n" - "zero or negative costs (rule 28), the remaining bounds (endpoints in range, then the\n" - "capacity and cost sums below 2^62). Integers are read without narrowing, so the error\n" - "does not depend on how the input is represented (APPROACH 3).") - .def("uid", &Graph::uid, "process-unique id (never reused)") - .def("resolution", &Graph::resolution, "the resolution q (units of capacity)") - .def("num_nodes", &Graph::num_nodes) - .def("num_edges", &Graph::num_edges) - .def("max_cost", &Graph::max_cost, "largest edge cost (0 without edges)") - .def("cost_gcd", &Graph::cost_gcd, "gcd of the edge costs (0 without edges)") - .def( - "capacity_units", [](const py::object& self) { - const auto& g = self.cast(); - return readonly_view(g.capacity_units(), self); - }, - "int64[E] capacities in units, id order (read-only view)") - .def( - "cost", [](const py::object& self) { - const auto& g = self.cast(); - return readonly_view(g.cost(), self); - }, - "int64[E] costs, id order (read-only view)") - .def( - "edge_src", [](const py::object& self) { - const auto& g = self.cast(); - return readonly_view(g.edge_src(), self); - }, - "int32[E] source node per edge (read-only view)") - .def( - "edge_dst", [](const py::object& self) { - const auto& g = self.cast(); - return readonly_view(g.edge_dst(), self); - }, - "int32[E] destination node per edge (read-only view)") - .def( - "input_index", [](const py::object& self) { - const auto& g = self.cast(); - return readonly_view(g.input_index(), self); - }, - "int32[E]: id -> input position (read-only view); the inverse is the caller's") - .def( - "row_offsets", [](const py::object& self) { - const auto& g = self.cast(); - return readonly_view(g.row_offsets(), self); - }, - "int32[N + 1]: the out-edges of u are the ids [row_offsets[u], row_offsets[u + 1])") - .def( - "in_row_offsets", [](const py::object& self) { - const auto& g = self.cast(); - return readonly_view(g.in_row_offsets(), self); - }, - "int32[N + 1] reverse CSR offsets") - .def( - "in_adj_edge_index", [](const py::object& self) { - const auto& g = self.cast(); - return readonly_view(g.in_adj_edge_index(), self); - }, - "int32[E]: the in-edges of v in (cost, src, input) order, as EdgeIds") - .def( - "eligibility", - [](const Graph& g, const py::object& excluded_nodes, const py::object& excluded_edges) { - // Nodes, then edges, each range-checked before narrowing (the constructor's order). - const auto xn = wide_integers(excluded_nodes, "excluded_nodes"); - for (std::size_t i = 0; i < xn.size(); ++i) { - if (!xn.in(i, 0, static_cast(g.num_nodes()) - 1)) { - throw py::value_error("excluded node " + xn.text(i) + " out of node range [0, " + - std::to_string(g.num_nodes()) + ")"); - } - } - const auto xe = wide_integers(excluded_edges, "excluded_edges"); - for (std::size_t i = 0; i < xe.size(); ++i) { - if (!xe.in(i, 0, static_cast(g.num_edges()) - 1)) { - throw py::value_error("excluded edge " + xe.text(i) + " out of edge range [0, " + - std::to_string(g.num_edges()) + ")"); - } - } - return std::make_shared(g.eligibility(xn.narrow(), xe.narrow())); - }, - py::arg("excluded_nodes") = py::tuple(), py::arg("excluded_edges") = py::tuple(), - "Static eligibility from excluded node ids and EdgeIds (duplicates and unsorted lists\n" - "accepted, out-of-range ids rejected); an edge is allowed when it is not excluded and\n" - "both endpoints are allowed. Empty lists mean all allowed (uid 0)."); - - m.def( - "_place_global_units", - [](const std::shared_ptr& graph, const py::object& view, const py::object& sources, - const py::object& destinations, const std::shared_ptr& elig, - const py::object& cap) -> py::dict { - if (!graph) throw py::value_error("graph must be a Graph"); - // The core's order (view length, view entries, sources, destinations, overlap, cap, - // Eligibility), every value checked before narrowing; the core re-checks the same order. - const auto num_edges = static_cast(graph->num_edges()); - const std::size_t view_len = sequence_length(view, "view"); - if (view_len != num_edges) { - throw py::value_error("view has length " + std::to_string(view_len) + ", expected " + - std::to_string(num_edges) + " (one entry per edge)"); - } - const auto v = wide_integers(view, "view (capacity units)"); - const auto capacity = graph->capacity_units(); - for (std::size_t e = 0; e < num_edges; ++e) { - if (!v.in(e, 0, capacity[e])) { - throw py::value_error("view[" + std::to_string(e) + "] = " + v.text(e) + " is outside [0, capacity_units[" + - std::to_string(e) + "] = " + std::to_string(capacity[e]) + "]"); - } - } - const auto s = checked_ids(wide_integers(sources, "sources node ids"), graph->num_nodes(), "sources"); - const auto d = checked_ids(wide_integers(destinations, "destinations node ids"), graph->num_nodes(), "destinations"); - detail::check_disjoint(detail::node_set(s, graph->num_nodes(), "sources"), - detail::node_set(d, graph->num_nodes(), "destinations"), "sources", "destinations"); - std::optional c; - if (!cap.is_none()) { - if (is_bool(cap) || !PyIndex_Check(cap.ptr())) { - throw py::value_error("cap must be an integer number of units in [0, 2^63 - 2] or None"); - } - py::object idx = python_int(cap, "cap"); - int overflow = 0; - const long long value = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); - if (overflow != 0 || value < 0 || value > detail::kMaxFlowCap) { - throw py::value_error("cap " + std::string(py::str(idx)) + " is outside [0, 2^63 - 2]"); - } - c = static_cast(value); - } - detail::FlowCoreResult r; - { - py::gil_scoped_release release; - const auto view_units = v.narrow(); - r = detail::place_global_units(*graph, view_units, s, d, elig.get(), c); - } - py::dict out; - out["placed"] = py::int_(r.placed); - py::list curve; - for (const auto& [cost, units] : r.cost_distribution) { - py::list entry; - entry.append(py::int_(cost)); - entry.append(py::int_(units)); - curve.append(entry); - } - out["cost_distribution"] = curve; - out["edge_flows"] = int_list(r.edge_flows); - if (r.min_cut.has_value()) { - py::list cut; - for (EdgeId e : *r.min_cut) cut.append(py::int_(e)); - out["min_cut"] = cut; - } else { - out["min_cut"] = py::none(); - } - out["potentials"] = int_list(r.potentials); - py::dict counters; - counters["dijkstra_runs"] = py::int_(r.counters.dijkstra_runs); - counters["dijkstra_pops"] = py::int_(r.counters.dijkstra_pops); - counters["settled"] = py::int_(r.counters.settled); - counters["arc_scans"] = py::int_(r.counters.arc_scans); - counters["dinic_phases"] = py::int_(r.counters.dinic_phases); - counters["augmentations"] = py::int_(r.counters.augmentations); - out["counters"] = counters; - return out; - }, - py::arg("graph"), py::arg("view"), py::arg("sources"), py::arg("destinations"), py::arg("elig"), - py::arg("cap"), - "Private recorder entry (APPROACH 2.2): the minimum-cost flow of the maximum value under\n" - "cap (None: uncapped) from the source set to the destination set over the eligible edges,\n" - "on the capacities `view` (int64 units, id order), from zero flow. Returns {placed,\n" - "cost_distribution: [[cost, units]], edge_flows, min_cut (None while the destinations stay\n" - "connected, and on cap 0), potentials (-1 = never reached), counters}. Invalid inputs raise\n" - "ValueError before any work."); - - // ------------------------------------------------------------------ route structures - - py::class_>( - m, "PredDAG", - "Immutable, graph-bound predecessor DAG: the entries of node v are parents()[k], via_edges()[k]\n" - "for k in [parent_offsets()[v], parent_offsets()[v + 1]), within a node in strictly ascending\n" - "via EdgeId (one canonical form). Equality is structural. parents() and via_edges() are\n" - "read-only views that keep the DAG alive; parent_offsets() is a fresh read-only array built on\n" - "demand (the DAG is stored over its member nodes). Built by PredDAG.from_csr, Path.to_dag()\n" - "and the searches.") - .def_static( - "from_csr", - [](const std::shared_ptr& graph, const py::object& offsets, const py::object& parents, - const py::object& via) { - if (!graph) throw py::value_error("graph must be a Graph"); - // APPROACH 5's order on unnarrowed values; the C++ constructor re-checks it and adds the - // structural checks (endpoints, duplicates, acyclic, ascending). - const auto n = static_cast(graph->num_nodes()); - const auto m = static_cast(graph->num_edges()); - const std::size_t lo = sequence_length(offsets, "offsets"); - const std::size_t lp = sequence_length(parents, "parents"); - const std::size_t lv = sequence_length(via, "via"); - if (lo != n + 1) { - throw py::value_error("PredDAG.from_csr: offsets has length " + std::to_string(lo) + - ", expected N + 1 = " + std::to_string(n + 1)); - } - const auto o = wide_integers(offsets, "offsets"); - if (!o.in(0, 0, 0)) throw py::value_error("PredDAG.from_csr: offsets[0] = " + o.text(0) + ", expected 0"); - for (std::size_t v = 0; v < n; ++v) { - if (wide_less(o, v + 1, v)) { - throw py::value_error("PredDAG.from_csr: offsets are not monotone at " + std::to_string(v + 1) + " (" + - o.text(v) + " > " + o.text(v + 1) + ")"); - } - } - if (!o.in(n, static_cast(lp), static_cast(lp)) || lp != lv) { - throw py::value_error("PredDAG.from_csr: offsets[N] = " + o.text(n) + " but parents has " + - std::to_string(lp) + " and via has " + std::to_string(lv) + " entries"); - } - const auto p = wide_integers(parents, "parents"); - const auto w = wide_integers(via, "via"); - for (std::size_t k = 0; k < lp; ++k) { - if (!p.in(k, 0, static_cast(n) - 1)) { - throw py::value_error("PredDAG.from_csr: parents[" + std::to_string(k) + "] = " + p.text(k) + - " out of node range [0, " + std::to_string(n) + ")"); - } - if (!w.in(k, 0, m - 1)) { - throw py::value_error("PredDAG.from_csr: via[" + std::to_string(k) + "] = " + w.text(k) + - " out of edge range [0, " + std::to_string(m) + ")"); - } - } - const auto ov = o.narrow(); - const auto pv = p.narrow(); - const auto wv = w.narrow(); - return std::make_shared(PredDAG::from_csr(*graph, ov, pv, wv)); - }, - py::arg("graph"), py::arg("offsets"), py::arg("parents"), py::arg("via"), - "Validates, in order, before any traversal (ValueError on the first defect): offsets of\n" - "length N + 1, offsets[0] == 0, monotone, offsets[N] == len(parents) == len(via); then every\n" - "parent and via in range, every via joining (parent, child), no duplicate (child, via),\n" - "acyclic; within a node the entries in ascending via EdgeId.") - .def("graph_uid", &PredDAG::graph_uid, "uid of the graph this DAG belongs to") - .def( - "parent_offsets", - [](const PredDAG& d) { - const auto off = d.parent_offsets(); - py::array_t arr(static_cast(off.size())); - std::copy(off.begin(), off.end(), arr.mutable_data()); - py::detail::array_proxy(arr.ptr())->flags &= ~py::detail::npy_api::NPY_ARRAY_WRITEABLE_; - return arr; - }, - "int32[N + 1] CSR offsets, presented on demand from the sparse storage (a read-only array)") - .def( - "parents", [](const py::object& self) { return readonly_view(self.cast().parents(), self); }, - "int32 parent NodeId per entry (read-only view)") - .def( - "via_edges", - [](const py::object& self) { return readonly_view(self.cast().via_edges(), self); }, - "int32 via EdgeId per entry (read-only view)") - .def("__eq__", [](const PredDAG& a, const py::object& b) { - return py::isinstance(b) && a == b.cast(); - }) - .def("__hash__", [](const PredDAG& a) { - return py::hash(py::make_tuple(a.graph_uid(), py::tuple(py::cast(std::vector(a.via_edges().begin(), - a.via_edges().end()))))); - }) - .def("__repr__", [](const PredDAG& a) { - return "PredDAG(graph_uid=" + std::to_string(a.graph_uid()) + ", entries=" + - std::to_string(a.via_edges().size()) + ")"; - }); - - py::class_>( - m, "Path", - "Immutable, graph-bound explicit walk of hops; a hop lists one or more parallel members of one\n" - "(u, v) pair in the caller's order. cost = sum over hops of the minimum member cost.") - .def(py::init([](const std::shared_ptr& graph, const py::object& hops) { - if (!graph) throw py::value_error("graph must be a Graph"); - if (not_a_sequence(hops)) throw py::value_error("Path: hops must be a sequence of hops (sequences of EdgeIds)"); - auto seq = py::reinterpret_borrow(hops); - std::vector raw; - for (std::size_t h = 0; h < seq.size(); ++h) { - py::object hop = seq[h]; - raw.push_back(wide_integers(hop, ("hops[" + std::to_string(h) + "]").c_str())); - } - // Every member in range before anything else (APPROACH 5), then C++'s order. - const auto m = static_cast(graph->num_edges()); - for (std::size_t h = 0; h < raw.size(); ++h) { - for (std::size_t i = 0; i < raw[h].size(); ++i) { - if (!raw[h].in(i, 0, m - 1)) { - throw py::value_error("Path: hop " + std::to_string(h) + " member " + raw[h].text(i) + - " out of edge range [0, " + std::to_string(m) + ")"); - } - } - } - std::vector> narrowed; - narrowed.reserve(raw.size()); - for (const auto& r : raw) narrowed.push_back(r.narrow()); - return std::make_shared(*graph, std::move(narrowed)); - }), - py::arg("graph"), py::arg("hops"), - "Validates, in order (ValueError on the first defect): every member id in range, no duplicate\n" - "member, a non-empty hop list, every hop non-empty, the members of a hop sharing (u, v),\n" - "contiguous hops, no repeated node.") - .def("graph_uid", &Path::graph_uid, "uid of the graph this path belongs to") - .def("hops", [](const Path& p) { return p.hops(); }, "the hops as lists of EdgeIds (the caller's member order)") - .def("src", &Path::src) - .def("dst", &Path::dst) - .def("cost", &Path::cost, "sum over hops of the minimum member cost") - .def( - "to_dag", [](const Path& p) { return std::make_shared(p.to_dag()); }, - "the equivalent PredDAG (every member of every hop)") - .def("__eq__", [](const Path& a, const py::object& b) { - return py::isinstance(b) && a == b.cast(); - }) - .def("__hash__", - [](const Path& a) { - py::list hops; - for (const auto& hop : a.hops()) hops.append(py::tuple(py::cast(hop))); - return py::hash(py::make_tuple(a.graph_uid(), py::tuple(hops))); - }) - .def("__repr__", [](const Path& a) { - return "Path(src=" + std::to_string(a.src()) + ", dst=" + std::to_string(a.dst()) + - ", hops=" + std::to_string(a.hops().size()) + ", cost=" + std::to_string(a.cost()) + ")"; - }); - - // ------------------------------------------------------------------ the ledger - - py::class_( - m, "FlowRecord", - "One flow of a ledger, as a snapshot: flow_id (ledger uid, id), owner (the policy's id),\n" - "sources, destinations, placement, admission, bundle (PredDAG: the flow's route),\n" - "route_cost (its minimum walk cost; None when empty), offered (Lossy only, else None),\n" - "delivered, edges [(EdgeId, units)] and drops [(EdgeId, units)] (cumulative, ascending\n" - "EdgeId). Counters are exact Python ints (they may exceed 64 bits).") - .def_property_readonly("flow_id", [](const FlowRecord& r) { return py::make_tuple(r.flow_id.first, r.flow_id.second); }) - .def_readonly("owner", &FlowRecord::owner) - .def_readonly("sources", &FlowRecord::sources) - .def_readonly("destinations", &FlowRecord::destinations) - .def_readonly("placement", &FlowRecord::placement) - .def_readonly("admission", &FlowRecord::admission) - .def_property_readonly("bundle", [](const FlowRecord& r) { return std::const_pointer_cast(r.bundle); }) - .def_property_readonly("route_cost", [](const FlowRecord& r) { return cost_or_none(r.route_cost); }) - .def_property_readonly("offered", [](const FlowRecord& r) -> py::object { - return r.offered.has_value() ? counter_int(*r.offered) : py::object(py::none()); - }) - .def_readonly("delivered", &FlowRecord::delivered) - .def_property_readonly("edges", [](const FlowRecord& r) { return pairs_list(r.edges); }) - .def_property_readonly("drops", [](const FlowRecord& r) { - py::list out; - for (const auto& [e, x] : r.drops) out.append(py::make_tuple(e, counter_int(x))); - return out; - }) - .def("__repr__", [](const FlowRecord& r) { - return "FlowRecord(flow_id=(" + std::to_string(r.flow_id.first) + ", " + std::to_string(r.flow_id.second) + - "), owner=" + std::to_string(r.owner) + ", delivered=" + std::to_string(r.delivered) + ")"; - }); - - auto ledger_class = py::class_>( - m, "FlowLedger", - "The integer ledger of one graph: an immutable baseline residual in units and the records of\n" - "the flows placed on it by policies (the ledger has no public placement or removal).\n" - "allocated() is the sum of every record's edges and residual() = baseline - allocated(), both\n" - "int64[E] snapshots. reset() and copy() are rejected while a policy is bound.") - .def(py::init([](const std::shared_ptr& graph, const py::object& residual) { - if (!graph) throw py::value_error("graph must be a Graph"); - if (residual.is_none()) return std::make_shared(graph); - const auto r = edge_units(residual, *graph, "residual"); - return std::make_shared(graph, r); - }), - py::arg("graph"), py::arg("residual") = py::none(), - "residual: the baseline as integer units, one entry per edge in [0, capacity_units[e]] (a\n" - "physical baseline goes through to_units first); None: the capacities. ValueError otherwise.") - .def("uid", &FlowLedger::uid, "process-unique ledger uid (the first half of every FlowId)") - .def( - "graph", [](const FlowLedger& fg) { return std::const_pointer_cast(fg.graph()); }, - "the ledger's graph") - .def( - "capacity_units", - [](const py::object& self) { return readonly_view(self.cast().capacity_units(), self); }, - "int64[E] the graph's capacities in units (read-only view)") - .def( - "residual", [](const FlowLedger& fg) { return int64_array(fg.residual()); }, - "int64[E] snapshot: baseline - allocated") - .def( - "allocated", [](const FlowLedger& fg) { return int64_array(fg.allocated()); }, - "int64[E] snapshot: the sum of every record's edges") - .def("records", &FlowLedger::records, "live records (bound and orphaned) as snapshots in FlowId order") - .def( - "record", [](const FlowLedger& fg, const py::object& flow_id) { return fg.record(flow_id_of(flow_id)); }, - py::arg("flow_id"), - "one record by FlowId (ValueError for a FlowId of another ledger, a retired or an unknown id)") - .def( - "bottleneck", - [](const FlowLedger& fg, const py::object& sources, const std::shared_ptr& elig) { - const auto s = node_ids(sources, fg.graph()->num_nodes(), "sources"); - return fg.bottleneck(s, elig.get()); - }, - py::arg("sources"), py::arg("elig") = nullptr, - "Saturation diagnostic: the edges (statically eligible, capacity >= 1 unit) leaving the set\n" - "reachable from the allowed sources over eligible forward arcs with residual >= 1 unit, in\n" - "ascending EdgeId (not a cut).") - .def( - "reset", - [](FlowLedger& fg, const py::object& residual) { - if (residual.is_none()) { - fg.reset(); - return; - } - const auto r = edge_units(residual, *fg.graph(), "residual"); - fg.reset(r); - }, - py::arg("residual") = py::none(), - "A new baseline (None: the capacities); orphaned records and their allocations are cleared\n" - "and their ids retired (ids are never reused). ValueError while a policy is bound.") - .def( - "copy", [](const FlowLedger& fg) { return std::make_shared(fg); }, - "a new ledger (new uid) with the same baseline and records, ids kept under the new uid;\n" - "ValueError while a policy is bound") - .def("__copy__", [](const FlowLedger& fg) { return std::make_shared(fg); }) - .def("__deepcopy__", [](const FlowLedger& fg, const py::object&) { return std::make_shared(fg); }, - py::arg("memo")); + "engine FlowPolicy, the DagCache, the evaluators (capacity, batch_capacity, sensitivity) and the\n" + "searches (spf, ksp, resolve_to_paths).\n" + "Every public call either completes or raises and leaves Core state as it was, with two limits:\n" + "(1) pybind11 does not check every allocation when it constructs a bound object from Python, or\n" + "converts an attribute or a returned value into a new Python object outside the library's checked\n" + "result construction; running out of memory exactly there may crash the process, with Core state\n" + "unchanged. (2) A DagCache passed to the call: a building one keeps the complete entries and\n" + "statistics of the lookups that succeeded before the call failed; a frozen one counts one miss\n" + "when the call raised DagCacheMiss."; + + // In this order: a later binding's defaults and conversions need the earlier types. + bindings::register_axes(m); + bindings::register_units(m); + bindings::register_eligibility(m); + bindings::register_graph(m); + bindings::register_recorder(m); + bindings::register_pred_dag(m); + bindings::register_path(m); + bindings::register_flow_record(m); + bindings::register_flow_ledger(m); + bindings::register_routing(m); + bindings::register_policy_config(m); + bindings::register_placement_result(m); + bindings::register_dag_cache(m); + bindings::register_flow_policy(m); + bindings::register_evaluators(m); + bindings::register_paths(m); + bindings::register_search(m); #if NETGRAPH_CORE_PRIVATE_HOOKS - ledger_class - .def( - "_state", - [](const FlowLedger& fg) { - py::dict out; - out["next_flow_id"] = detail::LedgerAccess::next_flow_id(fg); - out["bound"] = detail::LedgerAccess::bound_owners(fg); - out["orphans"] = detail::LedgerAccess::orphan_owners(fg); - return out; - }, - "private: {next_flow_id, bound, orphans} (owner ids)"); -#else - (void)ledger_class; -#endif - - // ------------------------------------------------------------------ the policy engine - - py::class_(m, "Absolute", "CostCeiling: an absolute, inclusive path-cost budget (cost >= 0).") - .def(py::init([](const py::object& cost) { - return Absolute {*int_field(cost, std::numeric_limits::min(), std::numeric_limits::max(), - "Absolute cost", false)}; - }), - py::arg("cost")) - .def_readonly("cost", &Absolute::cost) - .def("__eq__", [](const Absolute& a, const py::object& b) { return py::isinstance(b) && a == b.cast(); }) - .def("__hash__", [](const Absolute& a) { return py::hash(py::make_tuple("Absolute", a.cost)); }) - .def("__repr__", [](const Absolute& a) { return "Absolute(" + std::to_string(a.cost) + ")"; }); - - py::class_(m, "Stretch", - "CostCeiling: a factor in [1, inf) of the static shortest cost under the policy's\n" - "Eligibility, read as the exact dyadic rational it is (compared without rounding).") - .def(py::init([](const py::object& factor) { return Stretch {float_field(factor, "Stretch factor")}; }), - py::arg("factor")) - .def_readonly("factor", &Stretch::factor) - .def("__eq__", [](const Stretch& a, const py::object& b) { return py::isinstance(b) && a == b.cast(); }) - .def("__hash__", [](const Stretch& a) { return py::hash(py::make_tuple("Stretch", a.factor)); }) - .def("__repr__", [](const Stretch& a) { return "Stretch(" + std::string(py::str(py::float_(a.factor))) + ")"; }); - - py::class_(m, "DiminishingReturns", - "The diminishing-returns guard of CapacityAware growth: stop once at least `window`\n" - "growth steps were accepted in the call and the last `window` gains sum below\n" - "`fraction` times the source's (finite) offer. window >= 1, fraction in (0, 1).") - .def(py::init([](const py::object& window, const py::object& fraction) { - DiminishingReturns d; - d.window = static_cast(*int_field(window, std::numeric_limits::min(), - std::numeric_limits::max(), - "diminishing window", false)); - d.fraction = float_field(fraction, "diminishing fraction"); - return d; - }), - py::arg("window"), py::arg("fraction")) - .def_readonly("window", &DiminishingReturns::window) - .def_readonly("fraction", &DiminishingReturns::fraction) - .def("__repr__", [](const DiminishingReturns& d) { - return "DiminishingReturns(window=" + std::to_string(d.window) + ", fraction=" + std::string(py::str(py::float_(d.fraction))) + ")"; - }); - - py::class_(m, "CostOnly", - "Routing: IGP forwarding. One flow per roster source on the static shortest-path DAG\n" - "(the DagCache value; selection projected at creation), never refreshed, grown or\n" - "reoptimised.") - .def(py::init<>()) - .def("__repr__", [](const CostOnly&) { return std::string("CostOnly()"); }); - - py::class_( - m, "CapacityAware", - "Routing: distributed CSPF tunnels. flow_count flows created by the canonical search on the\n" - "selection view (residual >= max(1, min_flow_bandwidth) units, the max_path_cost ceiling),\n" - "grown up to max_flow_count (None: no ceiling), optionally reoptimised (reroute with retention\n" - "fallback) and guarded by `diminishing` (None: off).") - .def(py::init([](const py::object& flow_count, const py::object& max_flow_count, const py::object& max_path_cost, - const py::object& min_flow_bandwidth, bool reoptimize, const py::object& diminishing) { - CapacityAware ca; - constexpr auto lo32 = std::numeric_limits::min(); - constexpr auto hi32 = std::numeric_limits::max(); - ca.flow_count = static_cast(*int_field(flow_count, lo32, hi32, "flow_count", false)); - if (auto mx = int_field(max_flow_count, lo32, hi32, "max_flow_count", true)) { - ca.max_flow_count = static_cast(*mx); - } - if (!max_path_cost.is_none()) { - if (py::isinstance(max_path_cost)) { - ca.max_path_cost = max_path_cost.cast(); - } else if (py::isinstance(max_path_cost)) { - ca.max_path_cost = max_path_cost.cast(); - } else { - throw py::type_error("max_path_cost must be Absolute, Stretch or None"); - } - } - ca.min_flow_bandwidth = *int_field(min_flow_bandwidth, std::numeric_limits::min(), - std::numeric_limits::max(), "min_flow_bandwidth (units)", false); - ca.reoptimize = reoptimize; - if (!diminishing.is_none()) { - if (!py::isinstance(diminishing)) throw py::type_error("diminishing must be DiminishingReturns or None"); - ca.diminishing = diminishing.cast(); - } - return ca; - }), - py::kw_only(), py::arg("flow_count") = 1, py::arg("max_flow_count") = py::none(), - py::arg("max_path_cost") = py::none(), py::arg("min_flow_bandwidth") = 0, py::arg("reoptimize") = false, - py::arg("diminishing") = py::none()) - .def_readonly("flow_count", &CapacityAware::flow_count) - .def_readonly("max_flow_count", &CapacityAware::max_flow_count) - .def_property_readonly("max_path_cost", - [](const CapacityAware& ca) -> py::object { - if (!ca.max_path_cost.has_value()) return py::none(); - return std::visit([](const auto& x) { return py::cast(x); }, *ca.max_path_cost); - }) - .def_readonly("min_flow_bandwidth", &CapacityAware::min_flow_bandwidth) - .def_readonly("reoptimize", &CapacityAware::reoptimize) - .def_readonly("diminishing", &CapacityAware::diminishing) - .def("__repr__", [](const CapacityAware& ca) { - return "CapacityAware(flow_count=" + std::to_string(ca.flow_count) + ", max_flow_count=" + - (ca.max_flow_count ? std::to_string(*ca.max_flow_count) : std::string("None")) + ")"; - }); - - py::class_(m, "Global", - "Routing: the omniscient controller. Every call re-solves the minimum-cost flow of the\n" - "cumulative value over the whole eligible graph (placement MaxFlow only).") - .def(py::init<>()) - .def("__repr__", [](const Global&) { return std::string("Global()"); }); - - py::class_(m, "Pinned", - "Routing: explicit route structures, one flow per usable bundle in supply order (single\n" - "endpoints; a Path converts with to_dag()). The list is copied at construction.") - .def(py::init([](const py::object& bundles) { - if (not_a_sequence(bundles)) throw py::type_error("Pinned bundles must be a sequence of PredDAG"); - Pinned p; - for (const auto& b : py::reinterpret_borrow(bundles)) { - if (!py::isinstance(b)) { - throw py::type_error("Pinned bundles must be PredDAG values (a Path converts with to_dag())"); - } - p.bundles.push_back(b.cast>()); - } - return p; - }), - py::arg("bundles")) - .def_property_readonly("bundles", - [](const Pinned& p) { - py::list out; - for (const auto& b : p.bundles) out.append(std::const_pointer_cast(b)); - return out; - }) - .def("__repr__", [](const Pinned& p) { return "Pinned(bundles=" + std::to_string(p.bundles.size()) + ")"; }); - - py::class_( - m, "FlowPolicyConfig", - "The four explicit axes of a policy: routing (CostOnly, CapacityAware, Global or Pinned), placement\n" - "(FlowPlacement), admission (Admission) and selection (PathSelection). A placement or admission\n" - "outside its enumeration raises ValueError.") - .def(py::init([](const py::object& routing, FlowPlacement placement, Admission admission, - const PathSelection& selection) { - // The routing's structure first (TypeError), then the constructor's enumeration checks. - auto r = routing_of(routing); - return FlowPolicyConfig {std::move(r), placement, admission, selection}; - }), - py::kw_only(), py::arg("routing"), py::arg("placement"), py::arg("admission"), py::arg("selection")) - .def_property_readonly("routing", [](const FlowPolicyConfig& c) { return routing_obj(c.routing); }) - .def_readonly("placement", &FlowPolicyConfig::placement) - .def_readonly("admission", &FlowPolicyConfig::admission) - .def_readonly("selection", &FlowPolicyConfig::selection) - .def("__repr__", [](const FlowPolicyConfig& c) { - return "FlowPolicyConfig(routing=" + std::string(py::repr(routing_obj(c.routing))) + ")"; - }); - - py::class_(m, "OutputOptions", - "Optional outputs of a placement (all false by default; absent outputs are None):\n" - "edge_flows (the policy's own allocation per edge after the call), residual and\n" - "bottleneck (the ledger's after the call); on Global, bottleneck adds min_cut.") - .def(py::init(), py::kw_only(), py::arg("edge_flows") = false, py::arg("residual") = false, - py::arg("bottleneck") = false) - .def_readonly("edge_flows", &OutputOptions::edge_flows) - .def_readonly("residual", &OutputOptions::residual) - .def_readonly("bottleneck", &OutputOptions::bottleneck); - - py::enum_(m, "Termination", - "The local outcome of a source and a call's termination (APPROACH 9.4): COMPLETE (the\n" - "offer is served), LIMIT_FLOWS, LIMIT_DIMINISHING, NO_ROUTE, EXHAUSTED.") - .value("COMPLETE", Termination::Complete) - .value("LIMIT_FLOWS", Termination::LimitFlows) - .value("LIMIT_DIMINISHING", Termination::LimitDiminishing) - .value("NO_ROUTE", Termination::NoRoute) - .value("EXHAUSTED", Termination::Exhausted); - - py::class_( - m, "PlacementResult", - "One placement call: placed (units), remaining (request - placed; float('inf') for +inf),\n" - "termination, local_outcomes [(source, Termination)] per roster source, routes_changed,\n" - "weights_changed, drops [(EdgeId, units)] of this call; cost_distribution [(cost, units)] on\n" - "Global (the marginal curve of the policy's cumulative flow; a zero call reports it unchanged), else\n" - "None; the optional outputs\n" - "edge_flows, residual (int64[E]), bottleneck, min_cut (Global with bottleneck; None when the\n" - "solve was not maximal), None unless requested.") - .def_readonly("placed", &PlacementResult::placed) - .def_property_readonly("remaining", [](const PlacementResult& r) { return remaining_obj(r.remaining); }) - .def_readonly("termination", &PlacementResult::termination) - .def_readonly("local_outcomes", &PlacementResult::local_outcomes) - .def_readonly("routes_changed", &PlacementResult::routes_changed) - .def_readonly("weights_changed", &PlacementResult::weights_changed) - .def_property_readonly("drops", [](const PlacementResult& r) { return pairs_list(r.drops); }) - .def_readonly("cost_distribution", &PlacementResult::cost_distribution) - .def_property_readonly("edge_flows", - [](const PlacementResult& r) -> py::object { - return r.edge_flows ? py::object(int64_array(*r.edge_flows)) : py::object(py::none()); - }) - .def_property_readonly("residual", - [](const PlacementResult& r) -> py::object { - return r.residual ? py::object(int64_array(*r.residual)) : py::object(py::none()); - }) - .def_readonly("bottleneck", &PlacementResult::bottleneck) - .def_readonly("min_cut", &PlacementResult::min_cut) - .def("__repr__", [](const PlacementResult& r) { - return "PlacementResult(placed=" + std::to_string(r.placed) + ", termination=" + - std::string(py::str(py::cast(r.termination).attr("name"))) + ")"; - }); - - py::class_(m, "DagCacheStats", - "DagCache statistics (atomic per field, not a consistent snapshot): hits, misses,\n" - "entries, bytes (the entries' retained payload), live_values (values alive anywhere).") - .def_readonly("hits", &DagCache::Stats::hits) - .def_readonly("misses", &DagCache::Stats::misses) - .def_readonly("entries", &DagCache::Stats::entries) - .def_readonly("bytes", &DagCache::Stats::bytes) - .def_readonly("live_values", &DagCache::Stats::live_values); - - py::register_exception(m, "DagCacheMiss", PyExc_Exception); - m.attr("DagCacheMiss").attr("__doc__") = - "A lookup in a frozen DagCache whose key is absent (APPROACH 10): a dedicated exception (not a\n" - "RuntimeError or ValueError); the evaluators propagate it unchanged, never as a status."; - - py::class_>( - m, "DagCache", - "A cache of static shortest-path supports bound to one graph, keyed (roots as a set, direction,\n" - "Eligibility uid). Building mode (a new cache): one writer, no concurrent readers; a miss searches\n" - "and inserts. Frozen mode (freeze()): read-only and shareable by every worker; a miss counts one miss\n" - "and raises DagCacheMiss; clear() raises ValueError; thaw() returns to building once the caller has\n" - "joined every reader. CostOnly policies and the evaluators read it; selection is projected at\n" - "creation, never cached. clear() empties a building cache (the hit and miss counters persist); held\n" - "values stay valid. A supplied building cache is a memo (APPROACH 13, limit 2): a public call that\n" - "fails keeps the complete entries and statistics of the lookups that succeeded before; never a\n" - "partial entry, and a retained entry never changes a result. A frozen cache's statistics follow the\n" - "public call that reads it: its hits count when the call succeeds, its Python result included; a\n" - "failed call changes no statistic, except that a call raising DagCacheMiss counts one miss.") - .def(py::init([](const std::shared_ptr& graph) { - if (!graph) throw py::value_error("graph must be a Graph"); - return std::make_shared(*graph); - }), - py::arg("graph")) - .def("graph_uid", &DagCache::graph_uid, "uid of the graph this cache is bound to") - .def("freeze", &DagCache::freeze, "enter frozen mode (no effect when frozen)") - .def("thaw", &DagCache::thaw, "return to building mode (no effect when building); join every reader first") - .def("clear", &DagCache::clear, "empty a building cache; ValueError when frozen") - .def("stats", &DagCache::stats); - - auto flow_policy = py::class_( - m, "FlowPolicy", - "The one placement engine (APPROACH 9), bound to its ledger at construction: place(volume,\n" - "outputs) runs the transaction and commits one atomic exchange (a failed call raises with the ledger\n" - "and the policy as they were, its Python result included; limits in APPROACH 13: pybind11's\n" - "unchecked tp_alloc in object construction and conversions outside the staged calls, and a supplied\n" - "building DagCache, a memo that keeps its successful lookups); remove() reverts every flow and\n" - "opens a new epoch; dropping the policy without remove() leaves its records as orphans.\n" - "sources and destinations are one NodeId or a sequence (disjoint sets). ValueError for invalid\n" - "endpoints, configurations, foreign objects and requests; TypeError for wrong argument types.") - .def(py::init([](const std::shared_ptr& ledger, const py::object& sources, - const py::object& destinations, const FlowPolicyConfig& config, - const std::shared_ptr& elig, const std::shared_ptr& cache) { - if (!ledger) throw py::value_error("ledger must be a FlowLedger"); - const auto n = ledger->graph()->num_nodes(); - const auto s = node_ids(sources, n, "sources"); - const auto d = node_ids(destinations, n, "destinations"); - return std::make_unique(*ledger, s, d, config, elig.get(), cache.get()); - }), - py::keep_alive<1, 2>(), py::keep_alive<1, 6>(), py::keep_alive<1, 7>(), py::arg("ledger"), - py::arg("sources"), py::arg("destinations"), py::arg("config"), py::arg("elig") = nullptr, - py::arg("cache") = nullptr) - .def( - "place", - [](FlowPolicy& p, const py::object& volume, const py::object& outputs) { - const auto v = request_units(volume); - const auto o = outputs_of(outputs); - // All or nothing across the boundary: the result's Python object exists before the - // call, and after the commit nothing allocates (the value moves into it). The GIL - // stays held: the call mutates the ledger (one writer per ledger). - auto [obj, slot] = new_object(); - *slot = p.place(v, o); - return std::move(obj); - }, - py::arg("volume"), py::arg("outputs") = py::none(), - "place(volume: int units or float('inf'), outputs: OutputOptions | None) -> PlacementResult") - .def("remove", &FlowPolicy::remove, "revert every flow of the policy, retire the ids, open a new epoch") - .def("placed_demand", &FlowPolicy::placed_demand, "the sum of delivered over the policy's live records") - .def("records", &FlowPolicy::records, "the policy's live records as snapshots in FlowId order") - .def( - "record", [](const FlowPolicy& p, const py::object& flow_id) { return p.record(flow_id_of(flow_id)); }, - py::arg("flow_id"), - "one of the policy's live records by FlowId (ValueError for a FlowId of another ledger or policy, a\n" - "retired or an unknown id)") - .def("usable_bundles", &FlowPolicy::usable_bundles, - "Pinned: the bundles with a src -> dst walk after static pruning (0 for the other modes)") - .def_property_readonly("config", &FlowPolicy::config); -#if NETGRAPH_CORE_PRIVATE_HOOKS - flow_policy - .def( - "_place_traced", - [](FlowPolicy& p, const py::object& volume, const py::object& outputs) { - const auto v = request_units(volume); - const auto o = outputs_of(outputs); - // As place(): every Python object exists before anything is published; the trace is - // converted at the engine's staged point, after the call is complete and before the - // commit, so a failed conversion changes nothing. - auto [obj, slot] = new_object(); - py::tuple pair(2); - py::object trace_py; - detail::Trace trace; - const std::function staged = [&] { trace_py = trace_obj(trace); }; - *slot = detail::place_traced(p, v, o, trace, &staged); - PyTuple_SET_ITEM(pair.ptr(), 0, obj.release().ptr()); - PyTuple_SET_ITEM(pair.ptr(), 1, trace_py.release().ptr()); - return pair; - }, - py::arg("volume"), py::arg("outputs") = py::none(), - "private: place() with the transaction's trace (prototype 2's keys)") - .def("_state", &state_obj, "private: the epoch state (roster, requested, +inf, cohorts)") - .def( - "_owner", [](const FlowPolicy& p) { return detail::PolicyAccess::engine(p).owner; }, - "private: the ledger-local owner id (FlowRecord.owner)"); -#else - (void)flow_policy; -#endif - - - py::class_(m, "CapacityOptions", - "The configuration, the static Eligibility (None: all allowed), the DagCache (None:\n" - "private per worker) and the optional outputs of capacity() and batch_capacity().") - .def(py::init([](const FlowPolicyConfig& config, const std::shared_ptr& elig, - const std::shared_ptr& cache, const py::object& outputs) { - return PyCapacityOptions {config, elig, cache, outputs_of(outputs)}; - }), - py::arg("config"), py::kw_only(), py::arg("elig") = nullptr, py::arg("cache") = nullptr, - py::arg("outputs") = py::none()) - .def_readonly("config", &PyCapacityOptions::config) - .def_readonly("elig", &PyCapacityOptions::elig) - .def_readonly("cache", &PyCapacityOptions::cache) - .def_readonly("outputs", &PyCapacityOptions::outputs); - - py::class_(m, "SensitivityOptions", - "The configuration, Eligibility, DagCache and baseline outputs of sensitivity().") - .def(py::init([](const FlowPolicyConfig& config, const std::shared_ptr& elig, - const std::shared_ptr& cache, const py::object& outputs) { - return PySensitivityOptions {config, elig, cache, outputs_of(outputs)}; - }), - py::arg("config"), py::kw_only(), py::arg("elig") = nullptr, py::arg("cache") = nullptr, - py::arg("outputs") = py::none()) - .def_readonly("config", &PySensitivityOptions::config) - .def_readonly("elig", &PySensitivityOptions::elig) - .def_readonly("cache", &PySensitivityOptions::cache) - .def_readonly("outputs", &PySensitivityOptions::outputs); - - py::enum_(m, "SensitivityStatus", - "EVALUATED (the loss is the baseline minus the capacity without the edge) or\n" - "UNEVALUABLE (the deletion raised a model exception: loss None, reason the message).") - .value("EVALUATED", SensitivityStatus::Evaluated) - .value("UNEVALUABLE", SensitivityStatus::Unevaluable); - - py::class_(m, "SensitivityEntry", "One candidate edge: edge, loss (int units or None), status, reason.") - .def_readonly("edge", &SensitivityEntry::edge) - .def_readonly("loss", &SensitivityEntry::loss) - .def_readonly("status", &SensitivityEntry::status) - .def_property_readonly("reason", [](const SensitivityEntry& e) -> py::object { - return e.status == SensitivityStatus::Unevaluable ? py::object(py::str(e.reason)) : py::object(py::none()); - }); - - py::class_(m, "SensitivityResult", - "baseline (the PlacementResult of capacity()) and entries (ascending EdgeId; an\n" - "absent edge has loss 0).") - .def_readonly("baseline", &SensitivityResult::baseline) - .def_readonly("entries", &SensitivityResult::entries); - - m.attr("MAX_FLOWS_PER_CALL") = py::int_(kMaxFlowsPerCall); - - m.def( - "capacity", - [](const std::shared_ptr& graph, const py::object& sources, const py::object& destinations, - const py::object& opts) { - if (!graph) throw py::value_error("graph must be a Graph"); - const auto o = options_of(opts, "CapacityOptions"); - const auto s = node_ids(sources, graph->num_nodes(), "sources"); - const auto d = node_ids(destinations, graph->num_nodes(), "destinations"); - const CapacityOptions c {o.config, o.elig.get(), o.cache.get(), o.outputs}; - // One public call on a frozen cache's statistics, its result object included (NOTES R27). - return detail::frozen_call(c.cache, [&](detail::FrozenTally& tally) { - PlacementResult r; - { - py::gil_scoped_release release; - r = detail::capacity_in_call(*graph, s, d, c, tally); - } - return object_of(std::move(r)); - }); - }, - py::arg("graph"), py::arg("sources"), py::arg("destinations"), py::arg("opts"), - "place(+inf) of a FlowPolicy with opts.config on a fresh ledger of the graph -> PlacementResult.\n" - "The exact maximum flow is the Global + MaxFlow configuration. A supplied frozen cache raises\n" - "DagCacheMiss for an absent key, unchanged.\n" - "A failed call raises; a supplied building cache keeps the entries and statistics of the lookups\n" - "that succeeded before the failure (a memo: APPROACH 13, limit 2); a supplied frozen cache's\n" - "statistics are unchanged, except one miss when the call raises DagCacheMiss."); - - m.def( - "batch_capacity", - [](const std::shared_ptr& graph, const py::object& pairs, const py::object& opts, - const py::object& per_pair_elig, const py::object& workers) { - if (!graph) throw py::value_error("graph must be a Graph"); - // The arguments first, then each pair completely and in pair order (the same two parts - // as the C++ validation), so the lowest failing pair index is reported. - const auto o = options_of(opts, "CapacityOptions"); - const auto w = workers_of(workers, false, static_cast(o.cache)); - const CapacityOptions c {o.config, o.elig.get(), o.cache.get(), o.outputs}; - detail::check_batch_arguments(*graph, c, w); - if (not_a_sequence(pairs)) throw py::value_error("pairs must be a sequence of (sources, destinations)"); - const auto items = py::reinterpret_borrow(pairs); - const auto num_pairs = py::len(items); - std::optional eligs; - if (!per_pair_elig.is_none()) { - // An explicit sequence has one entry per pair (None entries allowed), also when empty. - if (not_a_sequence(per_pair_elig)) throw py::value_error("per_pair_elig must be a sequence of Eligibility or None"); - eligs = py::reinterpret_borrow(per_pair_elig); - if (py::len(*eligs) != num_pairs) { - throw py::value_error("per_pair_elig has " + std::to_string(py::len(*eligs)) + " entries for " + - std::to_string(num_pairs) + " pairs"); - } - } - std::vector, std::vector>> ps; - std::vector> keep; - std::vector per; - const auto n = graph->num_nodes(); - for (std::size_t i = 0; i < num_pairs; ++i) { - const py::object item = items[i]; - if (not_a_sequence(item) || py::len(item) != 2) { - throw py::value_error("each pair must be (sources, destinations)"); - } - auto t = py::reinterpret_borrow(item); - auto src = node_ids(t[0], n, "sources"); - auto dst = node_ids(t[1], n, "destinations"); - const Eligibility* e = nullptr; - if (eligs) { - const py::object entry = (*eligs)[i]; - if (!entry.is_none()) { - if (!py::isinstance(entry)) throw py::type_error("per_pair_elig entries must be Eligibility or None"); - keep.push_back(entry.cast>()); - e = keep.back().get(); - } - per.push_back(e); - } - detail::check_batch_pair(*graph, src, dst, e, i); - ps.emplace_back(std::move(src), std::move(dst)); - } - return detail::frozen_call(c.cache, [&](detail::FrozenTally& tally) { - std::vector rs; - { - py::gil_scoped_release release; - rs = detail::batch_capacity_in_call(*graph, ps, c, per, w, tally); - } - py::list out(rs.size()); - for (std::size_t i = 0; i < rs.size(); ++i) { - PyList_SET_ITEM(out.ptr(), static_cast(i), object_of(std::move(rs[i])).release().ptr()); - } - return py::object(std::move(out)); - }); - }, - py::arg("graph"), py::arg("pairs"), py::arg("opts"), py::arg("per_pair_elig") = py::none(), - py::arg("workers") = py::none(), - "capacity() per (sources, destinations) pair in pair order, opts.elig intersected with\n" - "per_pair_elig[i] (None entries allowed; a given sequence has one entry per pair, also when\n" - "empty); workers >= 1 (None: NGRAPH_CORE_BATCH_THREADS or 1; 1 with a supplied cache).\n" - "Everything is validated before a worker starts, the arguments first, then each pair\n" - "completely in pair order, so the error of the lowest failing pair index is raised; Pinned is\n" - "rejected; an empty batch returns []. A supplied building cache needs workers == 1; a frozen cache\n" - "is shared by every worker (pass workers explicitly) and its DagCacheMiss reaches the caller\n" - "unchanged (the lowest failing pair's); a per-pair intersection that differs from both operands\n" - "has a new uid, absent from a frozen cache (pass effective per-pair values with elig None, or a\n" - "common value containing them).\n" - "A failed call raises; a supplied building cache keeps the entries and statistics of the lookups\n" - "that succeeded before the failure (a memo: APPROACH 13, limit 2); a supplied frozen cache's\n" - "statistics are unchanged, except one miss when the call raises DagCacheMiss."); - - m.def( - "sensitivity", - [](const std::shared_ptr& graph, const py::object& sources, const py::object& destinations, - const py::object& opts, const py::object& workers) { - if (!graph) throw py::value_error("graph must be a Graph"); - const auto o = options_of(opts, "SensitivityOptions"); - const auto s = node_ids(sources, graph->num_nodes(), "sources"); - const auto d = node_ids(destinations, graph->num_nodes(), "destinations"); - const auto w = workers_of(workers, true, static_cast(o.cache)); - const SensitivityOptions c {o.config, o.elig.get(), o.cache.get(), o.outputs}; - return detail::frozen_call(c.cache, [&](detail::FrozenTally& tally) { - SensitivityResult r; - { - py::gil_scoped_release release; - r = detail::sensitivity_in_call(*graph, s, d, c, w, tally); - } - return object_of(std::move(r)); - }); - }, - py::arg("graph"), py::arg("sources"), py::arg("destinations"), py::arg("opts"), py::arg("workers") = py::none(), - "The baseline capacity() and one entry per candidate edge (Global: the baseline's positive-flow\n" - "edges; other models: every allowed edge of at least 1 unit): the loss is the baseline's placed\n" - "minus capacity() without the edge, in signed units, never thresholded (Global evaluates it by the\n" - "flow core's deletion re-solve from the baseline's final state, and CostOnly gives edges no route\n" - "uses loss 0 without a placement, result-equivalent forms of that definition); a placed deletion\n" - "raising a model exception is UNEVALUABLE with the message as reason.\n" - "workers as batch_capacity (NGRAPH_CORE_SENSITIVITY_THREADS); a CostOnly deletion (the one\n" - "model reading the cache) looks up a new Eligibility uid, so a frozen cache raises DagCacheMiss\n" - "there (unchanged, never UNEVALUABLE); other models read no cache.\n" - "A failed call raises; a supplied building cache keeps the entries and statistics of the lookups\n" - "that succeeded before the failure (a memo: APPROACH 13, limit 2); a supplied frozen cache's\n" - "statistics are unchanged, except one miss when the call raises DagCacheMiss."); - - py::class_( - m, "KspOptions", - "The options of ksp (APPROACH 6, rule 10): k (>= 1) and selection are explicit (its multi_edge is\n" - "the member rule, Expand or Collapse; multipath is ignored); max_path_cost (None, Absolute(c) with\n" - "c >= 0, or Stretch(f) with f finite in [1, inf) times the static shortest cost under the\n" - "Eligibility, residual ignored; inclusive); residual (int64 units per EdgeId, each in\n" - "[0, capacity_units]: gating at 1 unit and the priority values); elig (None: everything allowed).\n" - "The fields are validated by ksp, in the contract's order.") - .def(py::init([](const py::object& k, const PathSelection& selection, const py::object& max_path_cost, - const py::object& residual, const std::shared_ptr& elig) { - return PyKspOptions {k, selection, max_path_cost, residual, elig}; - }), - py::arg("k"), py::arg("selection"), py::kw_only(), py::arg("max_path_cost") = py::none(), - py::arg("residual") = py::none(), py::arg("elig") = nullptr) - .def_readonly("k", &PyKspOptions::k) - .def_readonly("selection", &PyKspOptions::selection) - .def_readonly("max_path_cost", &PyKspOptions::max_path_cost) - .def_readonly("residual", &PyKspOptions::residual) - .def_readonly("elig", &PyKspOptions::elig); - - m.def( - "ksp", - [](const std::shared_ptr& graph, const py::object& src, const py::object& dst, const py::object& opts) { - if (!graph) throw py::value_error("graph must be a Graph"); - const auto o = options_of(opts, "KspOptions"); - const auto n = graph->num_nodes(); - // APPROACH 6's order on unnarrowed values (Core repeats every check): the selection, src, - // dst, src == dst, k, the ceiling, the residual, then a foreign Eligibility. - detail::check_selection(o.selection); - const NodeId s = endpoint(src, n, "src"); - const NodeId t = endpoint(dst, n, "dst"); - if (s == t) throw py::value_error(detail::overlap_error(s, "src", "dst")); - KspOptions c(count_of(o.k, "k"), o.selection); - if (!o.max_path_cost.is_none()) { - if (py::isinstance(o.max_path_cost)) { - c.max_path_cost = o.max_path_cost.cast(); - } else if (py::isinstance(o.max_path_cost)) { - c.max_path_cost = o.max_path_cost.cast(); - } else { - throw py::type_error("max_path_cost must be Absolute, Stretch or None (got " + - std::string(py::str(py::type::of(o.max_path_cost).attr("__name__"))) + ")"); - } - detail::check_ceiling(c.max_path_cost); - } - std::optional> res; - if (!o.residual.is_none()) res = edge_units(o.residual, *graph, "residual"); - if (res.has_value()) c.residual = std::span(*res); - c.elig = o.elig.get(); - std::vector> paths; - { - py::gil_scoped_release release; - paths = ksp(*graph, s, t, c); - } - // Every object through a checked allocation: a failure raises. - py::list out(paths.size()); - for (std::size_t i = 0; i < paths.size(); ++i) { - py::tuple item(2); - py::int_ cost(paths[i].first); - py::object path = object_from(std::move(paths[i].second)); - PyTuple_SET_ITEM(item.ptr(), 0, cost.release().ptr()); - PyTuple_SET_ITEM(item.ptr(), 1, path.release().ptr()); - PyList_SET_ITEM(out.ptr(), static_cast(i), item.release().ptr()); - } - return out; - }, - py::arg("graph"), py::arg("src"), py::arg("dst"), py::arg("opts"), - "The K shortest simple src -> dst paths of the member graph (APPROACH 6, rule 10) -> [(cost, Path)],\n" - "in increasing (cost, -bottleneck under PREFER_HIGHER_PRIORITY, hops, edge-id sequence), the\n" - "bottleneck being the minimum priority value along a path: the minimal prefix of that order,\n" - "truncated at k and at the inclusive ceiling; each Path has single-member hops. Validated in this\n" - "order before any work (ValueError): src and dst in range, src == dst, k >= 1, the ceiling, the\n" - "residual (length, then every entry), a foreign Eligibility. An excluded endpoint, no static route\n" - "under Stretch, or no path gives []."); - - m.def( - "resolve_to_paths", - [](const std::shared_ptr& graph, const std::shared_ptr& dag, const py::object& src, - const py::object& dst, bool split_parallel_edges, const py::object& max_paths) { - if (!graph) throw py::value_error("graph must be a Graph"); - if (!dag) throw py::value_error("dag must be a PredDAG"); - if (dag->graph_uid() != graph->uid()) throw py::value_error("foreign PredDAG: built for another graph"); - const auto n = graph->num_nodes(); - const NodeId s = endpoint(src, n, "src"); - const NodeId t = endpoint(dst, n, "dst"); - if (s == t) throw py::value_error(detail::overlap_error(s, "src", "dst")); - std::optional mp; - if (!max_paths.is_none()) mp = count_of(max_paths, "max_paths"); - std::vector paths; - { - py::gil_scoped_release release; - paths = resolve_to_paths(*graph, *dag, s, t, split_parallel_edges, mp); - } - py::list out(paths.size()); - for (std::size_t i = 0; i < paths.size(); ++i) { - PyList_SET_ITEM(out.ptr(), static_cast(i), object_from(std::move(paths[i])).release().ptr()); - } - return out; - }, - py::arg("graph"), py::arg("dag"), py::arg("src"), py::arg("dst"), py::arg("split_parallel_edges") = false, - py::arg("max_paths") = py::none(), - "The src -> dst walks of a DAG (APPROACH 5) -> [Path], in increasing (cost, hops, edge-id sequence):\n" - "a hop costs its cheapest member and is keyed by its lowest member id. split_parallel_edges = False\n" - "keeps every parallel member of a (u, v) pair in one hop (members ascending); True gives one path\n" - "per member combination in the same order. max_paths (>= 1) truncates; None lists every walk.\n" - "ValueError: a DAG of another graph, src or dst out of range, src == dst, max_paths < 1. An\n" - "endpoint outside the DAG, or no walk, gives []."); - - // ------------------------------------------------------------------ private recorder entries - - // ------------------------------------------------------------------ the public search - - m.attr("UNREACHABLE") = py::int_(kUnreachable); - - py::class_( - m, "SpfOptions", - "The options of spf (APPROACH 6): direction and selection are explicit; targets (one NodeId or a\n" - "sequence; None: a full search) stops the search at the nearest targets (anycast); residual (int64\n" - "units per EdgeId, each in [0, capacity_units]) adds residual gating at min_residual units (an\n" - "integer >= 1; it gates a supplied residual only) and supplies the priority values; elig (None:\n" - "everything allowed). A direction outside its enumeration raises ValueError here; the other fields\n" - "are validated by spf, in the contract's order.") - .def(py::init([](Direction direction, const PathSelection& selection, const py::object& targets, - const py::object& residual, const py::object& min_residual, - const std::shared_ptr& elig) { - detail::check_member(direction, "direction"); - return PySpfOptions {direction, selection, targets, residual, min_residual, elig}; - }), - py::arg("direction"), py::arg("selection"), py::kw_only(), py::arg("targets") = py::none(), - py::arg("residual") = py::none(), py::arg("min_residual") = 1, py::arg("elig") = nullptr) - .def_readonly("direction", &PySpfOptions::direction) - .def_readonly("selection", &PySpfOptions::selection) - .def_readonly("targets", &PySpfOptions::targets) - .def_readonly("residual", &PySpfOptions::residual) - .def_readonly("min_residual", &PySpfOptions::min_residual) - .def_readonly("elig", &PySpfOptions::elig); - - py::class_(m, "SpfResult", - "The result of spf: costs (full searches: a read-only int64 array, UNREACHABLE for the\n" - "nodes not reached; None with targets), dag (PredDAG: the unique DAG of the edges tight in\n" - "the traversal direction, in their original orientation; with targets pruned to the walks\n" - "between the roots and a nearest target, from the target to a root for REVERSE, or the\n" - "canonical single path for multipath = False) and target_cost (with targets: the nearest\n" - "targets' cost, None when no target is reached; None for a full search).") - .def_property_readonly("costs", [](const PySpfResult& r) { return r.costs ? r.costs : py::object(py::none()); }) - .def_property_readonly("dag", [](const PySpfResult& r) { return r.dag; }) - .def_property_readonly("target_cost", - [](const PySpfResult& r) { return r.target_cost ? r.target_cost : py::object(py::none()); }) - .def("__repr__", [](const PySpfResult& r) { - std::string tc = r.target_cost && !r.target_cost.is_none() ? std::string(py::str(r.target_cost)) : "None"; - return "SpfResult(costs=" + std::string(r.costs ? "array" : "None") + - ", dag_entries=" + std::to_string(r.dag.cast().via_edges().size()) + - ", target_cost=" + tc + ")"; - }); - - m.def( - "spf", - [](const std::shared_ptr& graph, const py::object& roots, const py::object& opts) { - if (!graph) throw py::value_error("graph must be a Graph"); - const auto o = options_of(opts, "SpfOptions"); - const auto n = graph->num_nodes(); - // APPROACH 6's order on unnarrowed values (Core repeats every check): the enumerations, - // the roots, the targets, their overlap, a single path without targets, the residual, then - // min_residual and a foreign Eligibility. - detail::check_member(o.direction, "direction"); - detail::check_selection(o.selection); - const auto r = node_ids(roots, n, "roots"); - std::optional> t; - if (!o.targets.is_none()) { - t = node_ids(o.targets, n, "targets"); - detail::check_disjoint(detail::node_set(r, n, "roots"), detail::node_set(*t, n, "targets"), "roots", - "targets"); - } else if (!o.selection.multipath) { - throw py::value_error("multipath = false requires targets (the single path joins a root to a target)"); - } - std::optional> res; - if (!o.residual.is_none()) res = edge_units(o.residual, *graph, "residual"); - const auto minr = python_int(o.min_residual, "min_residual"); - if (PyObject_RichCompareBool(minr.ptr(), py::int_(1).ptr(), Py_LT) == 1) { - throw py::value_error("min_residual must be at least 1 unit (got " + std::string(py::str(minr)) + ")"); - } - int overflow = 0; - const long long mv = PyLong_AsLongLongAndOverflow(minr.ptr(), &overflow); - SpfOptions c(o.direction, o.selection); - c.targets = std::move(t); - if (res.has_value()) c.residual = std::span(*res); - // Above INT64_MAX it gates every residual edge exactly as INT64_MAX does (residuals < 2^62). - c.min_residual = overflow != 0 ? std::numeric_limits::max() : static_cast(mv); - c.elig = o.elig.get(); - std::optional result; - { - py::gil_scoped_release release; - result.emplace(spf(*graph, r, c)); - } - // The result's Python objects, each through a checked allocation: a failure raises. - auto [obj, slot] = new_object(); - if (result->costs.has_value()) { - py::array_t costs(static_cast(result->costs->size())); - std::copy(result->costs->begin(), result->costs->end(), costs.mutable_data()); - py::detail::array_proxy(costs.ptr())->flags &= ~py::detail::npy_api::NPY_ARRAY_WRITEABLE_; - slot->costs = std::move(costs); - } - slot->dag = object_from(std::move(result->dag)); - if (result->target_cost.has_value() && *result->target_cost != kUnreachable) { - slot->target_cost = py::int_(*result->target_cost); - } - return std::move(obj); - }, - py::arg("graph"), py::arg("roots"), py::arg("opts"), - "Shortest paths from the roots (one NodeId or a sequence; every root at distance 0), FORWARD or\n" - "REVERSE (APPROACH 6) -> SpfResult. Without targets every reachable node is settled: costs and the\n" - "full DAG of tight edges. With targets the search stops at the nearest targets' cost: target_cost\n" - "and the DAG pruned to the walks between the roots and a nearest target (anycast; for REVERSE, from\n" - "the target to a root in the edges' orientation), or for multipath = False\n" - "the canonical single path, the walk minimising (cost, -bottleneck under PREFER_HIGHER_PRIORITY,\n" - "hops, edge-id sequence). Validated in this order before any work (ValueError): the roots (non-\n" - "empty, ids in range), the targets (the same), a vertex in both sets, multipath = False without\n" - "targets, the residual (length, then every entry in [0, capacity_units]), min_residual >= 1, a\n" - "foreign Eligibility. Excluded roots and targets are skipped; all roots excluded gives an empty\n" - "result."); - - // ------------------------------------------------------------------ private hooks - -#if NETGRAPH_CORE_PRIVATE_HOOKS - - m.def( - "_max_flows_per_call", - [](const py::object& value) { - auto& cap = detail::max_flows_per_call(); - const auto old = cap.load(); - if (!value.is_none()) cap.store(integer_value(value, 0, kMaxFlowsPerCall, "max_flows_per_call")); - return old; - }, - py::arg("value") = py::none(), - "private test hook: the call-wide creation cap (MAX_FLOWS_PER_CALL by default); returns the old value"); - - m.def( - "_sensitivity_fail_edge", - [](const py::object& edge) { - auto& hook = detail::sensitivity_fail_edge(); - const auto old = hook.load(); - hook.store(edge.is_none() ? -1 : integer_value(edge, -1, std::numeric_limits::max(), "edge")); - return old; - }, - py::arg("edge") = py::none(), - "private test hook: the candidate whose deletion raises a model exception (None: off)"); - - m.def( - "_fail_python_allocation", - [](const py::object& fn, const py::tuple& args, long k) { - // Calls fn(*args) with the k-th Python object allocation (from 0) failing, then - // restores the allocator. Returns (hit, allocations seen, result or None, exception or - // None). One caller at a time: the allocator is process-wide while the call runs. - PyMem_GetAllocator(PYMEM_DOMAIN_OBJ, &g_saved_allocator); - PyMemAllocatorEx hook {nullptr, failing_malloc, failing_calloc, failing_realloc, forwarding_free}; - g_fail_countdown.store(k); - g_fail_seen.store(0); - g_fail_hit.store(false); - PyMem_SetAllocator(PYMEM_DOMAIN_OBJ, &hook); - PyObject* r = PyObject_CallObject(fn.ptr(), args.ptr()); - PyMem_SetAllocator(PYMEM_DOMAIN_OBJ, &g_saved_allocator); - g_fail_countdown.store(-1); - py::object result = r != nullptr ? py::reinterpret_steal(r) : py::object(py::none()); - py::object error = py::none(); - if (r == nullptr) error = py::reinterpret_steal(PyErr_GetRaisedException()); - return py::make_tuple(g_fail_hit.load(), g_fail_seen.load(), result, error); - }, - py::arg("fn"), py::arg("args"), py::arg("k"), - "private test hook: fn(*args) with the k-th Python object allocation failing -> (hit, seen, result, error)"); - - m.def( - "_round_robin", - [](const py::object& total, const py::object& k) { - const auto t = integer_value(total, 0, kDomainLimit - 1, "total"); - const auto n = integer_value(k, 1, 1 << 20, "k"); - std::vector out(static_cast(n)); - detail::round_robin(t, out); - return out; - }, - py::arg("total"), py::arg("k"), "private: round robin of total units over k members (APPROACH 2.1)"); - - m.def( - "_highest_averages", - [](const py::object& total, const py::object& weights) { - const auto t = integer_value(total, 0, kDomainLimit - 1, "total"); - const auto w = wide_integers(weights, "weights"); - if (w.size() == 0) throw py::value_error("highest averages over no member"); - std::uint64_t sum = 0; - for (std::size_t i = 0; i < w.size(); ++i) { - if (!w.in(i, 1, kDomainLimit - 1)) { - throw py::value_error("weights[" + std::to_string(i) + "] = " + w.text(i) + " is outside [1, 2^62)"); - } - sum += static_cast(w.value[i]); - if (sum >= static_cast(kDomainLimit)) throw py::value_error("the weights sum to 2^62 or more"); - } - const auto wv = w.narrow(); - std::vector out(wv.size()); - detail::highest_averages(t, wv, out); - return out; - }, - py::arg("total"), py::arg("weights"), - "private: highest-averages (D'Hondt) apportionment of total units over positive weights, ties by\n" - "the lower index (APPROACH 2.1)"); + bindings::register_private_hooks(m); #endif } diff --git a/bindings/python/path.cpp b/bindings/python/path.cpp new file mode 100644 index 0000000..5039a25 --- /dev/null +++ b/bindings/python/path.cpp @@ -0,0 +1,78 @@ +// Path: an explicit walk of hops of one graph. +#include +#include +#include + +#include +#include +#include +#include + +#include "netgraph/core/graph.hpp" +#include "netgraph/core/pred_dag.hpp" +#include "integers.hpp" +#include "registration.hpp" + +namespace py = pybind11; + +namespace netgraph::core::bindings { + +void register_path(py::module_& m) { + py::class_>( + m, "Path", + "Immutable route of one graph, hop by hop: each hop lists one or more parallel edges (members)\n" + "from the same u to the same v, in the caller's order. cost = the sum over hops of the cost of\n" + "each hop's cheapest member.") + .def(py::init([](const std::shared_ptr& graph, const py::object& hops) { + if (!graph) throw py::value_error("graph must be a Graph"); + if (not_a_sequence(hops)) throw py::value_error("Path: hops must be a sequence of hops (sequences of EdgeIds)"); + auto seq = py::reinterpret_borrow(hops); + std::vector raw; + for (std::size_t h = 0; h < seq.size(); ++h) { + py::object hop = seq[h]; + raw.push_back(wide_integers(hop, ("hops[" + std::to_string(h) + "]").c_str())); + } + // Every member in range before anything else (no id is narrowed unchecked), then the + // C++ constructor's order. + const auto edge_count = static_cast(graph->num_edges()); + for (std::size_t h = 0; h < raw.size(); ++h) { + for (std::size_t i = 0; i < raw[h].size(); ++i) { + if (!raw[h].in(i, 0, edge_count - 1)) { + throw py::value_error("Path: hop " + std::to_string(h) + " member " + raw[h].text(i) + + " out of edge range [0, " + std::to_string(edge_count) + ")"); + } + } + } + std::vector> narrowed; + narrowed.reserve(raw.size()); + for (const auto& r : raw) narrowed.push_back(r.narrow()); + return std::make_shared(*graph, std::move(narrowed)); + }), + py::arg("graph"), py::arg("hops"), + "Validates, in order (ValueError on the first defect): every member id in range, no duplicate\n" + "member, a non-empty hop list, every hop non-empty, the members of a hop sharing (u, v),\n" + "contiguous hops, no repeated node.") + .def("graph_uid", &Path::graph_uid, "uid of the graph this path belongs to") + .def("hops", [](const Path& p) { return p.hops(); }, "the hops as lists of EdgeIds (the caller's member order)") + .def("src", &Path::src, "the first node of the walk") + .def("dst", &Path::dst, "the last node of the walk") + .def("cost", &Path::cost, "sum over hops of the minimum member cost") + .def( + "to_dag", [](const Path& p) { return std::make_shared(p.to_dag()); }, + "the equivalent PredDAG (every member of every hop)") + .def("__eq__", [](const Path& a, const py::object& b) { + return py::isinstance(b) && a == b.cast(); + }) + .def("__hash__", + [](const Path& a) { + py::list hops; + for (const auto& hop : a.hops()) hops.append(py::tuple(py::cast(hop))); + return py::hash(py::make_tuple(a.graph_uid(), py::tuple(hops))); + }) + .def("__repr__", [](const Path& a) { + return "Path(src=" + std::to_string(a.src()) + ", dst=" + std::to_string(a.dst()) + + ", hops=" + std::to_string(a.hops().size()) + ", cost=" + std::to_string(a.cost()) + ")"; + }); +} + +} // namespace netgraph::core::bindings diff --git a/bindings/python/paths.cpp b/bindings/python/paths.cpp new file mode 100644 index 0000000..ba8b2c3 --- /dev/null +++ b/bindings/python/paths.cpp @@ -0,0 +1,183 @@ +// The path listings: ksp with KspOptions, and resolve_to_paths. +#include +#include +#include + +#include +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/enum_domain.hpp" +#include "netgraph/core/detail/endpoints.hpp" +#include "netgraph/core/detail/traversal.hpp" +#include "netgraph/core/eligibility.hpp" +#include "netgraph/core/graph.hpp" +#include "netgraph/core/options.hpp" +#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/search.hpp" +#include "integers.hpp" +#include "publication.hpp" +#include "values.hpp" +#include "registration.hpp" + +namespace py = pybind11; + +namespace netgraph::core::bindings { + +namespace { + +// One NodeId of [0, num_nodes) (a single endpoint); the range message of detail/endpoints.hpp. +NodeId endpoint(const py::object& obj, std::int32_t num_nodes, const char* name) { + const py::object idx = python_int(obj, name); + int overflow = 0; + const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); + if (overflow != 0 || v < 0 || v >= num_nodes) { + throw py::value_error(detail::node_range_error(name, std::string(py::str(idx)), num_nodes)); + } + return static_cast(v); +} + +// A count of at least 1 (KSP's k, the resolver's max_paths): the validation message below 1; a count +// above INT64_MAX means the same as INT64_MAX (no list reaches it). +std::int64_t count_of(const py::object& obj, const char* name) { + const py::object idx = python_int(obj, name); + int overflow = 0; + const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); + if (overflow < 0 || (overflow == 0 && v < 1)) { + throw py::value_error(std::string(name) + " must be >= 1 (got " + std::string(py::str(idx)) + ")"); + } + return overflow != 0 ? std::numeric_limits::max() : static_cast(v); +} + +// The Python form of KspOptions: the arguments as given (k, max_path_cost and residual are +// validated at the call, in ksp's validation order, on their unnarrowed values). +struct PyKspOptions { + py::object k; + PathSelection selection; + py::object max_path_cost; + py::object residual; + std::shared_ptr elig; +}; + +} // namespace + +void register_paths(py::module_& m) { + py::class_( + m, "KspOptions", + "The options of ksp: k (>= 1) and selection are explicit (multi_edge = True lists each parallel\n" + "edge as a separate path, False keeps one per (u, v) pair as EdgeTieBreak describes; multipath is\n" + "ignored); max_path_cost (None, Absolute(c) with c >= 0, or Stretch(f) with f finite in [1, inf)\n" + "times the static shortest cost under the Eligibility, residual ignored; inclusive); residual\n" + "(int64 units per EdgeId, each in [0, capacity_units]: edges with less than 1 unit are skipped, and\n" + "the values feed the priority); elig (None: everything allowed). The fields are validated by ksp,\n" + "in the order its docstring gives.") + .def(py::init([](const py::object& k, const PathSelection& selection, const py::object& max_path_cost, + const py::object& residual, const std::shared_ptr& elig) { + return PyKspOptions {k, selection, max_path_cost, residual, elig}; + }), + py::arg("k"), py::arg("selection"), py::kw_only(), py::arg("max_path_cost") = py::none(), + py::arg("residual") = py::none(), py::arg("elig") = nullptr) + .def_readonly("k", &PyKspOptions::k, "the number of paths as given (validated by ksp: an integer >= 1)") + .def_readonly("selection", &PyKspOptions::selection, "the PathSelection (multipath is ignored)") + .def_readonly("max_path_cost", &PyKspOptions::max_path_cost, + "the inclusive cost ceiling as given: None, Absolute or Stretch (validated by ksp)") + .def_readonly("residual", &PyKspOptions::residual, + "the residual units per EdgeId as given (validated by ksp); None: static capacities, no\n" + "residual gating (edges below 1 unit of capacity are still skipped)") + .def_readonly("elig", &PyKspOptions::elig, "the static Eligibility; None: everything allowed"); + + m.def( + "ksp", + [](const std::shared_ptr& graph, const py::object& src, const py::object& dst, const py::object& opts) { + if (!graph) throw py::value_error("graph must be a Graph"); + const auto o = options_of(opts, "KspOptions"); + const auto n = graph->num_nodes(); + // ksp's validation order on unnarrowed values (Core repeats every check): the selection, src, + // dst, src == dst, k, the ceiling, the residual, then a foreign Eligibility. + detail::check_selection(o.selection); + const NodeId s = endpoint(src, n, "src"); + const NodeId t = endpoint(dst, n, "dst"); + if (s == t) throw py::value_error(detail::overlap_error(s, "src", "dst")); + KspOptions c(count_of(o.k, "k"), o.selection); + if (!o.max_path_cost.is_none()) { + if (py::isinstance(o.max_path_cost)) { + c.max_path_cost = o.max_path_cost.cast(); + } else if (py::isinstance(o.max_path_cost)) { + c.max_path_cost = o.max_path_cost.cast(); + } else { + throw py::type_error("max_path_cost must be Absolute, Stretch or None (got " + + std::string(py::str(py::type::of(o.max_path_cost).attr("__name__"))) + ")"); + } + detail::check_ceiling(c.max_path_cost); + } + std::optional> res; + if (!o.residual.is_none()) res = edge_units(o.residual, *graph, "residual"); + if (res.has_value()) c.residual = std::span(*res); + c.elig = o.elig.get(); + std::vector> paths; + { + py::gil_scoped_release release; + paths = ksp(*graph, s, t, c); + } + // Every object through a checked allocation: a failure raises. + py::list out(paths.size()); + for (std::size_t i = 0; i < paths.size(); ++i) { + py::tuple item(2); + py::int_ cost(paths[i].first); + py::object path = object_from(std::move(paths[i].second)); + PyTuple_SET_ITEM(item.ptr(), 0, cost.release().ptr()); + PyTuple_SET_ITEM(item.ptr(), 1, path.release().ptr()); + PyList_SET_ITEM(out.ptr(), static_cast(i), item.release().ptr()); + } + return out; + }, + py::arg("graph"), py::arg("src"), py::arg("dst"), py::arg("opts"), + "The k shortest simple src -> dst paths over the eligible edges of at least 1 unit, as the options\n" + "further limit them -> [(cost, Path)], each hop a single edge. Order: lowest cost; then, under\n" + "PREFER_HIGHER_PRIORITY only, highest bottleneck (the smallest priority value along the path); then\n" + "fewest hops; then the smallest EdgeId sequence. The result is the first k paths of that order\n" + "within the inclusive cost ceiling. Validated in this order before any work (ValueError): src and\n" + "dst in range, src == dst, k >= 1, the ceiling, the residual (length, then every entry), a foreign\n" + "Eligibility. An excluded endpoint, no static route under Stretch, or no path gives []."); + + m.def( + "resolve_to_paths", + [](const std::shared_ptr& graph, const std::shared_ptr& dag, const py::object& src, + const py::object& dst, bool split_parallel_edges, const py::object& max_paths) { + if (!graph) throw py::value_error("graph must be a Graph"); + if (!dag) throw py::value_error("dag must be a PredDAG"); + if (dag->graph_uid() != graph->uid()) throw py::value_error("foreign PredDAG: built for another graph"); + const auto n = graph->num_nodes(); + const NodeId s = endpoint(src, n, "src"); + const NodeId t = endpoint(dst, n, "dst"); + if (s == t) throw py::value_error(detail::overlap_error(s, "src", "dst")); + std::optional mp; + if (!max_paths.is_none()) mp = count_of(max_paths, "max_paths"); + std::vector paths; + { + py::gil_scoped_release release; + paths = resolve_to_paths(*graph, *dag, s, t, split_parallel_edges, mp); + } + py::list out(paths.size()); + for (std::size_t i = 0; i < paths.size(); ++i) { + PyList_SET_ITEM(out.ptr(), static_cast(i), object_from(std::move(paths[i])).release().ptr()); + } + return out; + }, + py::arg("graph"), py::arg("dag"), py::arg("src"), py::arg("dst"), py::arg("split_parallel_edges") = false, + py::arg("max_paths") = py::none(), + "The src -> dst walks of a DAG -> [Path], in increasing (cost, hops, edge-id sequence):\n" + "a hop costs its cheapest member and is keyed by its lowest member id. split_parallel_edges = False\n" + "keeps every parallel member of a (u, v) pair in one hop (members ascending); True gives one path\n" + "per member combination, sorted by that path's own (cost, hops, edge-id sequence). max_paths\n" + "(>= 1) truncates; None lists every walk.\n" + "ValueError: a DAG of another graph, src or dst out of range, src == dst, max_paths < 1. An\n" + "endpoint outside the DAG, or no walk, gives []."); +} + +} // namespace netgraph::core::bindings diff --git a/bindings/python/placement_result.cpp b/bindings/python/placement_result.cpp new file mode 100644 index 0000000..e579dfb --- /dev/null +++ b/bindings/python/placement_result.cpp @@ -0,0 +1,107 @@ +// Termination and PlacementResult: the outcome of one placement call. +#include +#include +#include + +#include +#include +#include + +#include "netgraph/core/flow_policy.hpp" +#include "values.hpp" +#include "registration.hpp" + +namespace py = pybind11; + +namespace netgraph::core::bindings { + +namespace { + +py::object remaining_obj(const std::optional& r) { + return r.has_value() ? py::object(py::int_(*r)) : py::object(py::float_(std::numeric_limits::infinity())); +} + +} // namespace + +void register_placement_result(py::module_& m) { + py::enum_(m, "Termination", + "How a call ended, per source (local_outcomes) and for the whole call (termination).\n" + "A source's offer is served when it is 0, when (LOSSLESS) the delivery equals it, or when (LOSSY,\n" + "finite offer) all of it was forwarded, drops included. A source's outcome is the first that\n" + "applies:\n" + " COMPLETE: served.\n" + " LIMIT_FLOWS: creating or adding flows was stopped by MAX_FLOWS_PER_CALL, or adding flows by a\n" + " CapacityAware max_flow_count above flow_count.\n" + " LIMIT_DIMINISHING: the diminishing guard stopped adding flows.\n" + " NO_ROUTE: the source has no flows after the call (Global: the maximum flow is 0 and nothing\n" + " was ever placed).\n" + " EXHAUSTED: any other unserved case (every flow full and no new route helps, a full fixed-size\n" + " set of flows, Global at the maximum flow, a LOSSY infinite offer).\n" + "Global and Pinned act as one source. The call's termination is COMPLETE for a request of 0 or\n" + "when every source is served, NO_ROUTE for a positive request with an empty roster, else the\n" + "highest outcome of the unserved sources in the order LIMIT_FLOWS > LIMIT_DIMINISHING >\n" + "EXHAUSTED > NO_ROUTE.") + .value("COMPLETE", Termination::Complete) + .value("LIMIT_FLOWS", Termination::LimitFlows) + .value("LIMIT_DIMINISHING", Termination::LimitDiminishing) + .value("NO_ROUTE", Termination::NoRoute) + .value("EXHAUSTED", Termination::Exhausted); + + py::class_( + m, "PlacementResult", + "One placement call: placed (units), remaining (request - placed; float('inf') for an infinite\n" + "request), termination, local_outcomes [(source, Termination)] per roster source, routes_changed,\n" + "weights_changed, and this call's drops [(EdgeId, units)]. cost_distribution: Global only, the\n" + "marginal cost curve [(cost, units)] of the policy's flow so far, else None: in ascending cost,\n" + "delivering `units` more raised the minimum total flow cost by `cost` per unit (more delivery can\n" + "reroute earlier flow, so these are not the costs of the final paths); a zero call leaves it\n" + "unchanged. Optional outputs, None unless requested:\n" + "edge_flows and residual (int64[E]), bottleneck, and min_cut (Global with bottleneck; None when the\n" + "solve did not reach the maximum flow).") + .def_readonly("placed", &PlacementResult::placed, "the units placed by this call") + .def_property_readonly( + "remaining", [](const PlacementResult& r) { return remaining_obj(r.remaining); }, + "the request minus placed, in units (an amount, not a status); float('inf') for an infinite request") + .def_readonly("termination", &PlacementResult::termination, "the call's outcome (Termination)") + .def_readonly("local_outcomes", &PlacementResult::local_outcomes, + "[(source, Termination)] for every roster source, ascending node id") + .def_readonly("routes_changed", &PlacementResult::routes_changed, + "True when this call committed a route change: a flow created (also at zero delivery), rerouted\n" + "or added, or a change in the edges a Global source's share uses; a candidate equal to the\n" + "current route is not a change") + .def_readonly("weights_changed", &PlacementResult::weights_changed, + "True when this call committed new weights for a rerouted WEIGHTED flow") + .def_property_readonly( + "drops", [](const PlacementResult& r) { return pairs_list(r.drops); }, + "this call's transit drops [(EdgeId, units)], ascending EdgeId (empty unless Lossy; records\n" + "keep the cumulative drops)") + .def_readonly("cost_distribution", &PlacementResult::cost_distribution, + "Global: the marginal cost curve [(cost, units)] of the policy's cumulative flow (a zero\n" + "call reports it unchanged); None for the other routing modes") + .def_property_readonly( + "edge_flows", + [](const PlacementResult& r) -> py::object { + return r.edge_flows ? py::object(int64_array(*r.edge_flows)) : py::object(py::none()); + }, + "if requested: the policy's own allocation per edge after the call (int64[E], EdgeId order),\n" + "else None") + .def_property_readonly( + "residual", + [](const PlacementResult& r) -> py::object { + return r.residual ? py::object(int64_array(*r.residual)) : py::object(py::none()); + }, + "if requested: the ledger's residual after the call (int64[E], EdgeId order), else None") + .def_readonly("bottleneck", &PlacementResult::bottleneck, + "if requested: the ledger's saturation report after the call (FlowLedger.bottleneck of the\n" + "policy's sources and Eligibility), else None") + .def_readonly("min_cut", &PlacementResult::min_cut, + "Global with bottleneck requested: a minimum cut (edges whose removal separates the sources from\n" + "the destinations, with the smallest total capacity) of the policy's view (free capacity plus its\n" + "own allocation), when the solve reached the maximum flow; None otherwise (also on a zero call)") + .def("__repr__", [](const PlacementResult& r) { + return "PlacementResult(placed=" + std::to_string(r.placed) + ", termination=" + + std::string(py::str(py::cast(r.termination).attr("name"))) + ")"; + }); +} + +} // namespace netgraph::core::bindings diff --git a/bindings/python/policy_config.cpp b/bindings/python/policy_config.cpp new file mode 100644 index 0000000..370b91d --- /dev/null +++ b/bindings/python/policy_config.cpp @@ -0,0 +1,68 @@ +// FlowPolicyConfig and OutputOptions: the configuration of a placement. +#include + +#include +#include +#include + +#include "netgraph/core/flow_policy.hpp" +#include "netgraph/core/options.hpp" +#include "registration.hpp" + +namespace py = pybind11; + +namespace netgraph::core::bindings { + +namespace { + +Routing routing_of(const py::object& obj) { + if (py::isinstance(obj)) return obj.cast(); + if (py::isinstance(obj)) return obj.cast(); + if (py::isinstance(obj)) return obj.cast(); + if (py::isinstance(obj)) return obj.cast(); + throw py::type_error("routing must be CostOnly, CapacityAware, Global or Pinned (got " + + std::string(py::str(py::type::of(obj).attr("__name__"))) + ")"); +} + +py::object routing_obj(const Routing& r) { + return std::visit([](const auto& x) { return py::cast(x); }, r); +} + +} // namespace + +void register_policy_config(py::module_& m) { + py::class_( + m, "FlowPolicyConfig", + "The four explicit axes (independent settings) of a policy: routing (CostOnly, CapacityAware,\n" + "Global or Pinned), placement (FlowPlacement), admission (Admission) and selection\n" + "(PathSelection). A placement or admission outside its enumeration raises ValueError.") + .def(py::init([](const py::object& routing, FlowPlacement placement, Admission admission, + const PathSelection& selection) { + // The routing's structure first (TypeError), then the constructor's enumeration checks. + auto r = routing_of(routing); + return FlowPolicyConfig {std::move(r), placement, admission, selection}; + }), + py::kw_only(), py::arg("routing"), py::arg("placement"), py::arg("admission"), py::arg("selection")) + .def_property_readonly( + "routing", [](const FlowPolicyConfig& c) { return routing_obj(c.routing); }, + "the routing mode: CostOnly, CapacityAware, Global or Pinned") + .def_readonly("placement", &FlowPolicyConfig::placement, "how every flow spreads over its route (FlowPlacement)") + .def_readonly("admission", &FlowPolicyConfig::admission, "LOSSLESS or LOSSY") + .def_readonly("selection", &FlowPolicyConfig::selection, "the PathSelection the routing's searches read") + .def("__repr__", [](const FlowPolicyConfig& c) { + return "FlowPolicyConfig(routing=" + std::string(py::repr(routing_obj(c.routing))) + ")"; + }); + + py::class_(m, "OutputOptions", + "Optional outputs of a placement (all false by default; absent outputs are None):\n" + "edge_flows (the policy's own allocation per edge after the call), residual and\n" + "bottleneck (the ledger's after the call); on Global, bottleneck adds min_cut.") + .def(py::init(), py::kw_only(), py::arg("edge_flows") = false, py::arg("residual") = false, + py::arg("bottleneck") = false) + .def_readonly("edge_flows", &OutputOptions::edge_flows, "request PlacementResult.edge_flows") + .def_readonly("residual", &OutputOptions::residual, "request PlacementResult.residual") + .def_readonly("bottleneck", &OutputOptions::bottleneck, + "request PlacementResult.bottleneck (and min_cut on Global)"); +} + +} // namespace netgraph::core::bindings diff --git a/bindings/python/pred_dag.cpp b/bindings/python/pred_dag.cpp new file mode 100644 index 0000000..a388868 --- /dev/null +++ b/bindings/python/pred_dag.cpp @@ -0,0 +1,127 @@ +// PredDAG: the immutable predecessor DAG of one graph. +#include +#include +#include + +#include +#include +#include + +#include "netgraph/core/graph.hpp" +#include "netgraph/core/pred_dag.hpp" +#include "integers.hpp" +#include "values.hpp" +#include "registration.hpp" + +namespace py = pybind11; + +namespace netgraph::core::bindings { + +namespace { + +// The exact order of wide integers: a positive overflow above every int64, a negative one +// below, and two overflows on the same side by their exact values. +bool wide_less(const WideInts& w, std::size_t i, std::size_t j) { + if (w.sign(i) != w.sign(j)) return w.sign(i) < w.sign(j); + if (w.sign(i) == 0) return w.value[i] < w.value[j]; + const int less = PyObject_RichCompareBool(w.exact(i).ptr(), w.exact(j).ptr(), Py_LT); + if (less < 0) throw py::error_already_set(); + return less == 1; +} + +} // namespace + +void register_pred_dag(py::module_& m) { + py::class_>( + m, "PredDAG", + "Immutable route structure of one graph, a predecessor DAG (directed, no cycle): for each node v,\n" + "the edges that reach v on the route and the node each comes from (its parent). The entries of v\n" + "are parents()[k], via_edges()[k] for k in [parent_offsets()[v], parent_offsets()[v + 1]), in\n" + "strictly ascending EdgeId, so two DAGs of the same graph with the same entries have equal arrays\n" + "and compare equal; DAGs of different graphs never compare equal.\n" + "parents() and via_edges() are read-only views that keep the DAG alive; parent_offsets() is a new\n" + "read-only array on each call (the DAG stores only the nodes that have entries). Built by\n" + "PredDAG.from_csr, Path.to_dag(), the searches and the policies (FlowRecord.bundle).") + .def_static( + "from_csr", + [](const std::shared_ptr& graph, const py::object& offsets, const py::object& parents, + const py::object& via) { + if (!graph) throw py::value_error("graph must be a Graph"); + // from_csr's validation order on unnarrowed values (the shape, then the ranges); the C++ + // constructor re-checks it and adds the structural checks (endpoints, duplicates, + // acyclic, ascending). + const auto n = static_cast(graph->num_nodes()); + const auto edge_count = static_cast(graph->num_edges()); + const std::size_t lo = sequence_length(offsets, "offsets"); + const std::size_t lp = sequence_length(parents, "parents"); + const std::size_t lv = sequence_length(via, "via"); + if (lo != n + 1) { + throw py::value_error("PredDAG.from_csr: offsets has length " + std::to_string(lo) + + ", expected N + 1 = " + std::to_string(n + 1)); + } + const auto o = wide_integers(offsets, "offsets"); + if (!o.in(0, 0, 0)) throw py::value_error("PredDAG.from_csr: offsets[0] = " + o.text(0) + ", expected 0"); + for (std::size_t v = 0; v < n; ++v) { + if (wide_less(o, v + 1, v)) { + throw py::value_error("PredDAG.from_csr: offsets are not monotone at " + std::to_string(v + 1) + " (" + + o.text(v) + " > " + o.text(v + 1) + ")"); + } + } + if (!o.in(n, static_cast(lp), static_cast(lp)) || lp != lv) { + throw py::value_error("PredDAG.from_csr: offsets[N] = " + o.text(n) + " but parents has " + + std::to_string(lp) + " and via has " + std::to_string(lv) + " entries"); + } + const auto p = wide_integers(parents, "parents"); + const auto w = wide_integers(via, "via"); + for (std::size_t k = 0; k < lp; ++k) { + if (!p.in(k, 0, static_cast(n) - 1)) { + throw py::value_error("PredDAG.from_csr: parents[" + std::to_string(k) + "] = " + p.text(k) + + " out of node range [0, " + std::to_string(n) + ")"); + } + if (!w.in(k, 0, edge_count - 1)) { + throw py::value_error("PredDAG.from_csr: via[" + std::to_string(k) + "] = " + w.text(k) + + " out of edge range [0, " + std::to_string(edge_count) + ")"); + } + } + const auto ov = o.narrow(); + const auto pv = p.narrow(); + const auto wv = w.narrow(); + return std::make_shared(PredDAG::from_csr(*graph, ov, pv, wv)); + }, + py::arg("graph"), py::arg("offsets"), py::arg("parents"), py::arg("via"), + "Validates, in order, before any traversal (ValueError on the first defect): offsets of\n" + "length N + 1, offsets[0] == 0, monotone, offsets[N] == len(parents) == len(via); then every\n" + "parent and via in range, every via joining (parent, child), no duplicate (child, via),\n" + "acyclic; within a node the entries in ascending via EdgeId.") + .def("graph_uid", &PredDAG::graph_uid, "uid of the graph this DAG belongs to") + .def( + "parent_offsets", + [](const PredDAG& d) { + const auto off = d.parent_offsets(); + py::array_t arr(static_cast(off.size())); + std::copy(off.begin(), off.end(), arr.mutable_data()); + py::detail::array_proxy(arr.ptr())->flags &= ~py::detail::npy_api::NPY_ARRAY_WRITEABLE_; + return arr; + }, + "int32[N + 1]: the entries of node v are [parent_offsets[v], parent_offsets[v + 1]); a new read-only array per call") + .def( + "parents", [](const py::object& self) { return readonly_view(self.cast().parents(), self); }, + "int32 parent NodeId per entry (read-only view)") + .def( + "via_edges", + [](const py::object& self) { return readonly_view(self.cast().via_edges(), self); }, + "int32 via EdgeId per entry (read-only view)") + .def("__eq__", [](const PredDAG& a, const py::object& b) { + return py::isinstance(b) && a == b.cast(); + }) + .def("__hash__", [](const PredDAG& a) { + return py::hash(py::make_tuple(a.graph_uid(), py::tuple(py::cast(std::vector(a.via_edges().begin(), + a.via_edges().end()))))); + }) + .def("__repr__", [](const PredDAG& a) { + return "PredDAG(graph_uid=" + std::to_string(a.graph_uid()) + ", entries=" + + std::to_string(a.via_edges().size()) + ")"; + }); +} + +} // namespace netgraph::core::bindings diff --git a/bindings/python/publication.hpp b/bindings/python/publication.hpp new file mode 100644 index 0000000..4809b01 --- /dev/null +++ b/bindings/python/publication.hpp @@ -0,0 +1,89 @@ +/* + The checked construction of result objects: the Python object of a bound class is allocated + through a checked tp_alloc, so an allocation failure raises instead of crashing, and a policy + call makes its result object before it changes anything. +*/ +#pragma once + +#include +#include +#include + +#include +#include +#include + +#include "netgraph/core/evaluators.hpp" +#include "netgraph/core/flow_policy.hpp" + +namespace py = pybind11; + +namespace netgraph::core::bindings { + +// A new Python object of the bound class T owning a T made from `args`, made like pybind11's +// generic move-cast (type_caster_generic::cast) but with the object allocation checked: +// pybind11's make_new_instance uses the result of tp_alloc unchecked, so a failed Python +// allocation there is a crash rather than a MemoryError. Holder is the class's holder type +// (std::unique_ptr by default, std::shared_ptr for PredDAG and Path); another type is +// refused before anything is made. +// The steps, in order (new_object and object_from both use them): (1) allocate the object and +// check for null; (2) hold it in `obj` at once, so any later failure releases it; (3) allocate +// its layout; (4) make the value inside a local holder; (5) register the value and let the +// object take the holder; (6) mark the object as owner. Every failure raises and frees what was +// made exactly once. Until step 5 succeeds the object owns nothing: the local holder frees the +// value (std::shared_ptr also deletes it when its control block cannot be allocated), and the +// object is released without touching it. Taking the holder never allocates (pybind11 copies or +// moves it). +template +std::pair emplace_object(Args&&... args) { + static_assert(std::is_same_v> || std::is_same_v>); + const py::detail::type_info* tinfo = py::detail::get_type_info(typeid(T), /*throw_if_missing=*/true); + constexpr auto holder_kind = std::is_same_v> ? py::detail::holder_enum_t::std_shared_ptr + : py::detail::holder_enum_t::std_unique_ptr; + if (tinfo->holder_enum_v != holder_kind) { + py::pybind11_fail("emplace_object: Holder is not the holder of the bound class"); + } + PyTypeObject* type = tinfo->type; + PyObject* raw = type->tp_alloc(type, 0); + if (raw == nullptr) throw py::error_already_set(); + auto obj = py::reinterpret_steal(raw); + auto* inst = reinterpret_cast(raw); + inst->allocate_layout(); + inst->owned = false; + Holder holder(new T(std::forward(args)...)); + T* value = holder.get(); + py::detail::values_and_holders(inst).begin()->value_ptr() = value; + tinfo->init_instance(inst, &holder); + inst->owned = true; + return {std::move(obj), value}; +} + +// A new Python object of the bound class T (default holder) owning a default-constructed T +// (emplace_object). The policy calls make their result object with this before they change +// anything. +template +std::pair new_object() { + return emplace_object>(); +} + +// The value moved into its result object after the commit: nothing may allocate there. +static_assert(std::is_nothrow_move_assignable_v); +static_assert(std::is_nothrow_move_assignable_v); +static_assert(std::is_nothrow_move_assignable_v); + +template +py::object object_of(T value) { + auto [obj, slot] = new_object(); + *slot = std::move(value); + return std::move(obj); +} + +// A new Python object of the bound class T (held by std::shared_ptr) owning `value`, through the +// same checked allocation as new_object: for the values without a default constructor (PredDAG, +// Path) that a search returns. A failure raises and releases everything made so far. +template +py::object object_from(T value) { + return emplace_object>(std::move(value)).first; +} + +} // namespace netgraph::core::bindings diff --git a/bindings/python/recorder.cpp b/bindings/python/recorder.cpp new file mode 100644 index 0000000..0faea8a --- /dev/null +++ b/bindings/python/recorder.cpp @@ -0,0 +1,109 @@ +// The private entry _place_global_units, registered in both builds: the flow core's +// minimum-cost flow from zero on a given view, with its full payload for the flow checks. +#include +#include +#include + +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/endpoints.hpp" +#include "netgraph/core/detail/flow_core.hpp" +#include "netgraph/core/eligibility.hpp" +#include "netgraph/core/graph.hpp" +#include "integers.hpp" +#include "registration.hpp" + +namespace py = pybind11; + +namespace netgraph::core::bindings { + +namespace { + +py::list int_list(const std::vector& v) { + py::list out(v.size()); + for (std::size_t i = 0; i < v.size(); ++i) out[i] = py::int_(v[i]); + return out; +} + +} // namespace + +void register_recorder(py::module_& m) { + m.def( + "_place_global_units", + [](const std::shared_ptr& graph, const py::object& view, const py::object& sources, + const py::object& destinations, const std::shared_ptr& elig, + const py::object& cap) -> py::dict { + if (!graph) throw py::value_error("graph must be a Graph"); + // The core's order (view length, view entries, sources, destinations, overlap, cap, + // Eligibility), every value checked before narrowing; the core re-checks the same order. + const auto v = edge_amounts(view, *graph, "view", "view (capacity units)"); + const auto s = checked_ids(wide_integers(sources, "sources node ids"), graph->num_nodes(), "sources"); + const auto d = checked_ids(wide_integers(destinations, "destinations node ids"), graph->num_nodes(), "destinations"); + detail::check_disjoint(detail::node_set(s, graph->num_nodes(), "sources"), + detail::node_set(d, graph->num_nodes(), "destinations"), "sources", "destinations"); + std::optional c; + if (!cap.is_none()) { + if (is_bool(cap) || !PyIndex_Check(cap.ptr())) { + throw py::value_error("cap must be an integer number of units in [0, 2^63 - 2] or None"); + } + py::object idx = python_int(cap, "cap"); + int overflow = 0; + const long long value = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); + if (overflow != 0 || value < 0 || value > detail::kMaxFlowCap) { + throw py::value_error("cap " + std::string(py::str(idx)) + " is outside [0, 2^63 - 2]"); + } + c = static_cast(value); + } + detail::FlowCoreResult r; + { + py::gil_scoped_release release; + const auto view_units = v.narrow(); + r = detail::place_global_units(*graph, view_units, s, d, elig.get(), c); + } + py::dict out; + out["placed"] = py::int_(r.placed); + py::list curve; + for (const auto& [cost, units] : r.cost_distribution) { + py::list entry; + entry.append(py::int_(cost)); + entry.append(py::int_(units)); + curve.append(entry); + } + out["cost_distribution"] = curve; + out["edge_flows"] = int_list(r.edge_flows); + if (r.min_cut.has_value()) { + py::list cut; + for (EdgeId e : *r.min_cut) cut.append(py::int_(e)); + out["min_cut"] = cut; + } else { + out["min_cut"] = py::none(); + } + out["potentials"] = int_list(r.potentials); + py::dict counters; + counters["dijkstra_runs"] = py::int_(r.counters.dijkstra_runs); + counters["dijkstra_pops"] = py::int_(r.counters.dijkstra_pops); + counters["settled"] = py::int_(r.counters.settled); + counters["arc_scans"] = py::int_(r.counters.arc_scans); + counters["dinic_phases"] = py::int_(r.counters.dinic_phases); + counters["augmentations"] = py::int_(r.counters.augmentations); + out["counters"] = counters; + return out; + }, + py::arg("graph"), py::arg("view"), py::arg("sources"), py::arg("destinations"), py::arg("elig"), + py::arg("cap"), + "Private flow-core entry: the largest flow up to cap (None: no cap) from the source set to the\n" + "destination set over the eligible edges, sent at the lowest total cost, on the capacities `view`\n" + "(int64 units, EdgeId order), starting from zero flow. Returns {placed, cost_distribution:\n" + "[[cost, units]], edge_flows, min_cut (None while the destinations are still reachable, because\n" + "the cap stopped the solve, and on cap 0), potentials (per-node prices from the shortest-path runs\n" + "that prove the flow is cheapest; -1 = never reached), counters}. Invalid inputs raise ValueError\n" + "before any work. A solve (cap not 0) then raises ValueError, before the solver sizes anything, on\n" + "a network beyond the flow core's int32 numbering: more than INT32_MAX - 2 nodes, or more than\n" + "2^30 - 1 eligible edges, eligible sources and eligible destinations together."); +} + +} // namespace netgraph::core::bindings diff --git a/bindings/python/registration.hpp b/bindings/python/registration.hpp new file mode 100644 index 0000000..82020f2 --- /dev/null +++ b/bindings/python/registration.hpp @@ -0,0 +1,40 @@ +/* + The registration functions of the module _netgraph_core, one file each under bindings/python/. + The module entry (module.cpp) calls them in this order, which is the order of the module's + attributes: a default argument or a conversion of a later binding needs the types registered + before it. The private recorder entry (_place_global_units) is registered + in both builds; only register_private_hooks and the private members of FlowLedger and + FlowPolicy depend on NETGRAPH_CORE_PRIVATE_HOOKS. +*/ +#pragma once + +#include +#include +#include + +#include "netgraph/core/detail/hooks_flag.hpp" + +namespace netgraph::core::bindings { + +void register_axes(pybind11::module_& m); // the axes' enumerations, PathSelection +void register_units(pybind11::module_& m); // to_units, as_float +void register_eligibility(pybind11::module_& m); // Eligibility +void register_graph(pybind11::module_& m); // Graph +void register_recorder(pybind11::module_& m); // _place_global_units (both builds) +void register_pred_dag(pybind11::module_& m); // PredDAG +void register_path(pybind11::module_& m); // Path +void register_flow_record(pybind11::module_& m); // FlowRecord +void register_flow_ledger(pybind11::module_& m); // FlowLedger +void register_routing(pybind11::module_& m); // Absolute, Stretch, DiminishingReturns, the four routings +void register_policy_config(pybind11::module_& m); // FlowPolicyConfig, OutputOptions +void register_placement_result(pybind11::module_& m); // Termination, PlacementResult +void register_dag_cache(pybind11::module_& m); // DagCacheStats, DagCacheMiss, DagCache +void register_flow_policy(pybind11::module_& m); // FlowPolicy +void register_evaluators(pybind11::module_& m); // capacity, batch_capacity, sensitivity and their types +void register_paths(pybind11::module_& m); // KspOptions, ksp, resolve_to_paths +void register_search(pybind11::module_& m); // UNREACHABLE, SpfOptions, SpfResult, spf +#if NETGRAPH_CORE_PRIVATE_HOOKS +void register_private_hooks(pybind11::module_& m); // the test controls and diagnostics +#endif + +} // namespace netgraph::core::bindings diff --git a/bindings/python/routing.cpp b/bindings/python/routing.cpp new file mode 100644 index 0000000..807c558 --- /dev/null +++ b/bindings/python/routing.cpp @@ -0,0 +1,231 @@ +// The routing modes of a policy (CostOnly, CapacityAware, Global, Pinned) and their parameters: +// the cost ceilings Absolute and Stretch, the DiminishingReturns guard. +#include +#include +#include + +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/flow_policy.hpp" +#include "netgraph/core/options.hpp" +#include "netgraph/core/pred_dag.hpp" +#include "integers.hpp" +#include "registration.hpp" + +namespace py = pybind11; + +namespace netgraph::core::bindings { + +namespace { + +// An optional int field of [lo, hi] (None allowed when `optional`); bools and floats rejected. +std::optional int_field(const py::object& obj, std::int64_t lo, std::int64_t hi, const std::string& what, + bool optional) { + if (obj.is_none()) { + if (optional) return std::nullopt; + throw py::value_error(what + " must be an integer (got None)"); + } + return integer_value(obj, lo, hi, what); +} + +// A float field: a Python float, an integer or a NumPy floating scalar; bools and other types +// rejected. The conversion order is Python's float(): a float as it is, then the object's own +// __float__, then its __index__. A Python integer beyond the finite doubles (the int itself, or the +// one its __index__ returned) is outside the field's domain (ValueError); every exception raised by +// the object's own __float__ or __index__, OverflowError included, propagates as raised. +double float_field(const py::object& obj, const std::string& what) { + if (is_bool(obj) || !(py::isinstance(obj) || PyIndex_Check(obj.ptr()) || + py::isinstance(obj, py::module_::import("numpy").attr("floating")))) { + throw py::value_error(what + " must be a number (got " + std::string(py::str(py::type::of(obj).attr("__name__"))) + + ")"); + } + if (PyFloat_Check(obj.ptr())) return PyFloat_AS_DOUBLE(obj.ptr()); + const PyNumberMethods* nb = Py_TYPE(obj.ptr())->tp_as_number; + const bool own_float = nb != nullptr && nb->nb_float != nullptr && nb->nb_float != PyLong_Type.tp_as_number->nb_float; + if (own_float) { // the object's own __float__ (a NumPy scalar, a class defining it) + const double x = PyFloat_AsDouble(obj.ptr()); + if (x == -1.0 && PyErr_Occurred() != nullptr) throw py::error_already_set(); + return x; + } + // A Python int (int's own __float__ only narrows it), or an object converted by its __index__. + py::object idx = py::reinterpret_borrow(obj); + if (!PyLong_Check(obj.ptr())) { + idx = py::reinterpret_steal(PyNumber_Index(obj.ptr())); + if (!idx) throw py::error_already_set(); + } + const double x = PyLong_AsDouble(idx.ptr()); + if (x == -1.0 && PyErr_Occurred() != nullptr) { + if (!PyErr_ExceptionMatches(PyExc_OverflowError)) throw py::error_already_set(); + PyErr_Clear(); + throw py::value_error(what + " must be a number in the float range (got an integer beyond the largest finite float)"); + } + return x; +} + +} // namespace + +void register_routing(py::module_& m) { + py::class_(m, "Absolute", "Cost ceiling: an absolute, inclusive path-cost budget (cost >= 0).") + .def(py::init([](const py::object& cost) { + return Absolute {*int_field(cost, std::numeric_limits::min(), std::numeric_limits::max(), + "Absolute cost", false)}; + }), + py::arg("cost"), "Absolute(cost): a 64-bit integer budget in cost units (checked >= 0 where it is used)") + .def_readonly("cost", &Absolute::cost, "the budget: a path qualifies when its cost is at most this") + .def("__eq__", [](const Absolute& a, const py::object& b) { return py::isinstance(b) && a == b.cast(); }) + .def("__hash__", [](const Absolute& a) { return py::hash(py::make_tuple("Absolute", a.cost)); }) + .def("__repr__", [](const Absolute& a) { return "Absolute(" + std::to_string(a.cost) + ")"; }); + + py::class_(m, "Stretch", + "Cost ceiling: a route qualifies when its cost is at most factor times the static shortest cost\n" + "under the Eligibility; factor is in [1, inf), and the float is compared exactly, without rounding.") + .def(py::init([](const py::object& factor) { return Stretch {float_field(factor, "Stretch factor")}; }), + py::arg("factor"), + "Stretch(factor): a number, checked finite and >= 1 where it is used; a path qualifies when its\n" + "cost is at most factor times the static shortest cost. Here, an integer beyond the largest finite\n" + "float raises ValueError.") + .def_readonly("factor", &Stretch::factor, "the factor as a float") + .def("__eq__", [](const Stretch& a, const py::object& b) { return py::isinstance(b) && a == b.cast(); }) + .def("__hash__", [](const Stretch& a) { return py::hash(py::make_tuple("Stretch", a.factor)); }) + .def("__repr__", [](const Stretch& a) { return "Stretch(" + std::string(py::str(py::float_(a.factor))) + ")"; }); + + py::class_(m, "DiminishingReturns", + "The diminishing-returns guard of CapacityAware growth: stop once at least `window`\n" + "growth steps were accepted in the call and the last `window` gains sum below\n" + "`fraction` times the source's (finite) offer. window >= 1, fraction in (0, 1).") + .def(py::init([](const py::object& window, const py::object& fraction) { + DiminishingReturns d; + d.window = static_cast(*int_field(window, std::numeric_limits::min(), + std::numeric_limits::max(), + "diminishing window", false)); + d.fraction = float_field(fraction, "diminishing fraction"); + return d; + }), + py::arg("window"), py::arg("fraction"), + "DiminishingReturns(window, fraction): a 32-bit integer and a number, checked (window >= 1,\n" + "fraction in (0, 1)) when a policy is built with them. Here, a window outside 32 bits or a fraction\n" + "that is an integer beyond the largest finite float raises ValueError.") + .def_readonly("window", &DiminishingReturns::window, "the number of recent accepted growth steps compared") + .def_readonly("fraction", &DiminishingReturns::fraction, + "the share of the source's offer those steps must gain together to continue") + .def("__repr__", [](const DiminishingReturns& d) { + return "DiminishingReturns(window=" + std::to_string(d.window) + ", fraction=" + std::string(py::str(py::float_(d.fraction))) + ")"; + }); + + py::class_(m, "CostOnly", + "Routing like IGP forwarding (OSPF, IS-IS routers): one flow per roster source on the static\n" + "shortest-path DAG (read from the DagCache; the selection is applied when the flow is created),\n" + "never refreshed, grown or reoptimised.") + .def(py::init<>(), "CostOnly routing (no parameters)") + .def("__repr__", [](const CostOnly&) { return std::string("CostOnly()"); }); + + py::class_( + m, "CapacityAware", + "Routing like distributed CSPF tunnels (each tunnel head picks its own shortest path among edges\n" + "with enough free capacity). Each source creates flow_count flows, one search at a time, on edges\n" + "with residual >= max(1, min_flow_bandwidth) units and within max_path_cost; while its offer is\n" + "unmet it adds flows up to max_flow_count (None: no ceiling). With reoptimize, a flow moves to a\n" + "new route only when it keeps its whole amount there. `diminishing` (None: off) stops adding flows\n" + "once the recent ones gain too little.") + .def(py::init([](const py::object& flow_count, const py::object& max_flow_count, const py::object& max_path_cost, + const py::object& min_flow_bandwidth, bool reoptimize, const py::object& diminishing) { + CapacityAware ca; + constexpr auto lo32 = std::numeric_limits::min(); + constexpr auto hi32 = std::numeric_limits::max(); + ca.flow_count = static_cast(*int_field(flow_count, lo32, hi32, "flow_count", false)); + if (auto mx = int_field(max_flow_count, lo32, hi32, "max_flow_count", true)) { + ca.max_flow_count = static_cast(*mx); + } + if (!max_path_cost.is_none()) { + if (py::isinstance(max_path_cost)) { + ca.max_path_cost = max_path_cost.cast(); + } else if (py::isinstance(max_path_cost)) { + ca.max_path_cost = max_path_cost.cast(); + } else { + throw py::type_error("max_path_cost must be Absolute, Stretch or None"); + } + } + ca.min_flow_bandwidth = *int_field(min_flow_bandwidth, std::numeric_limits::min(), + std::numeric_limits::max(), "min_flow_bandwidth (units)", false); + ca.reoptimize = reoptimize; + if (!diminishing.is_none()) { + if (!py::isinstance(diminishing)) throw py::type_error("diminishing must be DiminishingReturns or None"); + ca.diminishing = diminishing.cast(); + } + return ca; + }), + py::kw_only(), py::arg("flow_count") = 1, py::arg("max_flow_count") = py::none(), + py::arg("max_path_cost") = py::none(), py::arg("min_flow_bandwidth") = 0, py::arg("reoptimize") = false, + py::arg("diminishing") = py::none(), + "The fields are checked when a policy is built with them (flow_count >= 1, max_flow_count >=\n" + "flow_count, min_flow_bandwidth in [0, 2^62) units, the ceiling, the guard). Here, an integer field\n" + "of the wrong type or outside its integer type (32-bit flow_count and max_flow_count, 64-bit\n" + "min_flow_bandwidth) raises ValueError; a ceiling or guard of the wrong class, a reoptimize that is\n" + "not a bool, a number or None (a number or None counts by its truth value), and an unknown keyword\n" + "raise TypeError.") + .def_readonly("flow_count", &CapacityAware::flow_count, + "the flows a source creates on its first positive request") + .def_readonly("max_flow_count", &CapacityAware::max_flow_count, + "the most flows growth may reach per source; None: no ceiling") + .def_property_readonly( + "max_path_cost", + [](const CapacityAware& ca) -> py::object { + if (!ca.max_path_cost.has_value()) return py::none(); + return std::visit([](const auto& x) { return py::cast(x); }, *ca.max_path_cost); + }, + "the inclusive route cost ceiling (Absolute or Stretch); None: no ceiling") + .def_readonly("min_flow_bandwidth", &CapacityAware::min_flow_bandwidth, + "units in [0, 2^62): every search keeps only edges with at least max(1, this) residual units") + .def_readonly("reoptimize", &CapacityAware::reoptimize, + "True: a retained flow moves to a newly found route when it keeps its whole amount there") + .def_readonly("diminishing", &CapacityAware::diminishing, "the growth guard; None: off") + .def("__repr__", [](const CapacityAware& ca) { + return "CapacityAware(flow_count=" + std::to_string(ca.flow_count) + ", max_flow_count=" + + (ca.max_flow_count ? std::to_string(*ca.max_flow_count) : std::string("None")) + ")"; + }); + + py::class_(m, "Global", + "Routing: an ideal central controller that sees the whole network. Every positive call re-solves\n" + "the minimum-cost flow of what the policy already delivers plus this call's request\n" + "(placed_demand() + volume; what an earlier call could not place is not requested again) over\n" + "the eligible graph, on the free capacity plus its own allocation (it may move its own traffic,\n" + "never another's). Placement MAX_FLOW only. A positive call on a network beyond the flow core's\n" + "int32 numbering raises ValueError (see FlowPolicy.place).") + .def(py::init<>(), "Global routing (no parameters)") + .def("__repr__", [](const Global&) { return std::string("Global()"); }); + + py::class_(m, "Pinned", + "Routing on routes the caller gives: one flow per usable bundle (a PredDAG with at least one\n" + "src -> dst walk over eligible edges of at least 1 unit of capacity), in the given order; one\n" + "source and one destination. A Path converts with to_dag(). The list is copied at construction.") + .def(py::init([](const py::object& bundles) { + if (not_a_sequence(bundles)) throw py::type_error("Pinned bundles must be a sequence of PredDAG"); + Pinned p; + for (const auto& b : py::reinterpret_borrow(bundles)) { + if (!py::isinstance(b)) { + throw py::type_error("Pinned bundles must be PredDAG values (a Path converts with to_dag())"); + } + p.bundles.push_back(b.cast>()); + } + return p; + }), + py::arg("bundles"), + "Pinned(bundles): a sequence of PredDAG of one graph, copied; the policy checks them when it is\n" + "built (non-empty, no duplicates, each with a src -> dst walk)") + .def_property_readonly( + "bundles", + [](const Pinned& p) { + py::list out; + for (const auto& b : p.bundles) out.append(std::const_pointer_cast(b)); + return out; + }, + "the bundles in supply order (a new list of the shared, immutable PredDAG values)") + .def("__repr__", [](const Pinned& p) { return "Pinned(bundles=" + std::to_string(p.bundles.size()) + ")"; }); +} + +} // namespace netgraph::core::bindings diff --git a/bindings/python/search.cpp b/bindings/python/search.cpp new file mode 100644 index 0000000..d4039d2 --- /dev/null +++ b/bindings/python/search.cpp @@ -0,0 +1,182 @@ +// spf with SpfOptions and SpfResult, the public search, and UNREACHABLE. +#include +#include +#include + +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/endpoints.hpp" +#include "netgraph/core/detail/enum_domain.hpp" +#include "netgraph/core/eligibility.hpp" +#include "netgraph/core/graph.hpp" +#include "netgraph/core/options.hpp" +#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/search.hpp" +#include "netgraph/core/types.hpp" +#include "integers.hpp" +#include "publication.hpp" +#include "values.hpp" +#include "registration.hpp" + +namespace py = pybind11; + +namespace netgraph::core::bindings { + +namespace { + +// The Python form of SpfOptions: the arguments as given (targets, residual and min_residual are +// validated at the call, in spf's validation order, on their unnarrowed values); the Eligibility is +// held by reference count. +struct PySpfOptions { + Direction direction; + PathSelection selection; + py::object targets; + py::object residual; + py::object min_residual; + std::shared_ptr elig; +}; + +// The Python form of SpfResult: every field already a Python object (made by the call through +// the checked allocations), so reading one allocates nothing. +struct PySpfResult { + py::object costs; // a read-only int64 array (full searches) or None + py::object dag; // PredDAG + py::object target_cost; // an int, or None (no target reached, or a full search) +}; + +} // namespace + +void register_search(py::module_& m) { + m.attr("UNREACHABLE") = py::int_(kUnreachable); + + py::class_( + m, "SpfOptions", + "The options of spf: direction and selection are explicit; targets (one NodeId or a sequence;\n" + "None: a full search) stops the search at the nearest targets (anycast: any nearest target will\n" + "do); residual (int64 units per EdgeId, each in [0, capacity_units]) makes the search skip edges\n" + "with fewer than min_residual residual units (an integer >= 1; without a residual it has no\n" + "effect) and supplies the priority values; elig (None: everything allowed). A direction outside its\n" + "enumeration raises ValueError here; the other fields are validated by spf, in the order its\n" + "docstring gives.") + .def(py::init([](Direction direction, const PathSelection& selection, const py::object& targets, + const py::object& residual, const py::object& min_residual, + const std::shared_ptr& elig) { + detail::check_member(direction, "direction"); + return PySpfOptions {direction, selection, targets, residual, min_residual, elig}; + }), + py::arg("direction"), py::arg("selection"), py::kw_only(), py::arg("targets") = py::none(), + py::arg("residual") = py::none(), py::arg("min_residual") = 1, py::arg("elig") = nullptr) + .def_readonly("direction", &PySpfOptions::direction, "FORWARD or REVERSE") + .def_readonly("selection", &PySpfOptions::selection, "the PathSelection the search reads") + .def_readonly("targets", &PySpfOptions::targets, "the targets as given (validated by spf); None: a full search") + .def_readonly("residual", &PySpfOptions::residual, + "the residual units per EdgeId as given (validated by spf); None: static capacities, no\n" + "residual gating (edges below 1 unit of capacity are still skipped)") + .def_readonly("min_residual", &PySpfOptions::min_residual, + "the gating threshold in units as given (validated by spf: an integer >= 1)") + .def_readonly("elig", &PySpfOptions::elig, "the static Eligibility; None: everything allowed"); + + py::class_(m, "SpfResult", + "The result of spf: costs (full searches: a read-only int64 array, UNREACHABLE for the nodes not\n" + "reached; None with targets), dag (PredDAG of the tight edges, the edges on some shortest walk,\n" + "one per (u, v) pair with multi_edge = False, each in its own direction; with targets only the\n" + "walks between the roots and a nearest target, for REVERSE from the target to a root; for\n" + "multipath = False the canonical single path) and\n" + "target_cost (with targets: the nearest targets' cost, None when no target is reached; None for a\n" + "full search).") + .def_property_readonly( + "costs", [](const PySpfResult& r) { return r.costs ? r.costs : py::object(py::none()); }, + "full search: each node's distance from the roots for FORWARD, or to the roots for REVERSE\n" + "(read-only int64[N], UNREACHABLE for nodes not reached); None with targets") + .def_property_readonly( + "dag", [](const PySpfResult& r) { return r.dag; }, + "the PredDAG of the result, in the edges' original orientation") + .def_property_readonly( + "target_cost", [](const PySpfResult& r) { return r.target_cost ? r.target_cost : py::object(py::none()); }, + "with targets: the cost of the nearest targets, None when no target is reached; None for a\n" + "full search") + .def("__repr__", [](const PySpfResult& r) { + std::string tc = r.target_cost && !r.target_cost.is_none() ? std::string(py::str(r.target_cost)) : "None"; + return "SpfResult(costs=" + std::string(r.costs ? "array" : "None") + + ", dag_entries=" + std::to_string(r.dag.cast().via_edges().size()) + + ", target_cost=" + tc + ")"; + }); + + m.def( + "spf", + [](const std::shared_ptr& graph, const py::object& roots, const py::object& opts) { + if (!graph) throw py::value_error("graph must be a Graph"); + const auto o = options_of(opts, "SpfOptions"); + const auto n = graph->num_nodes(); + // spf's validation order on unnarrowed values (Core repeats every check): the enumerations, + // the roots, the targets, their overlap, a single path without targets, the residual, then + // min_residual and a foreign Eligibility. + detail::check_member(o.direction, "direction"); + detail::check_selection(o.selection); + const auto r = node_ids(roots, n, "roots"); + std::optional> t; + if (!o.targets.is_none()) { + t = node_ids(o.targets, n, "targets"); + detail::check_disjoint(detail::node_set(r, n, "roots"), detail::node_set(*t, n, "targets"), "roots", + "targets"); + } else if (!o.selection.multipath) { + throw py::value_error("multipath = false requires targets (the single path joins a root to a target)"); + } + std::optional> res; + if (!o.residual.is_none()) res = edge_units(o.residual, *graph, "residual"); + const auto minr = python_int(o.min_residual, "min_residual"); + int overflow = 0; + const long long mv = PyLong_AsLongLongAndOverflow(minr.ptr(), &overflow); + if (overflow < 0 || (overflow == 0 && mv < 1)) { + throw py::value_error("min_residual must be at least 1 unit (got " + std::string(py::str(minr)) + ")"); + } + SpfOptions c(o.direction, o.selection); + c.targets = std::move(t); + if (res.has_value()) c.residual = std::span(*res); + // Above INT64_MAX it gates every residual edge exactly as INT64_MAX does (residuals < 2^62). + c.min_residual = overflow != 0 ? std::numeric_limits::max() : static_cast(mv); + c.elig = o.elig.get(); + std::optional result; + { + py::gil_scoped_release release; + result.emplace(spf(*graph, r, c)); + } + // The result's Python objects, each through a checked allocation: a failure raises. + auto [obj, slot] = new_object(); + if (result->costs.has_value()) { + py::array_t costs(static_cast(result->costs->size())); + std::copy(result->costs->begin(), result->costs->end(), costs.mutable_data()); + py::detail::array_proxy(costs.ptr())->flags &= ~py::detail::npy_api::NPY_ARRAY_WRITEABLE_; + slot->costs = std::move(costs); + } + slot->dag = object_from(std::move(result->dag)); + if (result->target_cost.has_value() && *result->target_cost != kUnreachable) { + slot->target_cost = py::int_(*result->target_cost); + } + return std::move(obj); + }, + py::arg("graph"), py::arg("roots"), py::arg("opts"), + "Shortest paths from the roots for FORWARD, or to the roots for REVERSE (one NodeId or a sequence;\n" + "every root at distance 0), over the eligible edges of at least 1 unit of capacity (and of residual\n" + ">= min_residual with a residual) -> SpfResult. Without targets every reachable node gets its\n" + "distance: costs and the full DAG of tight edges (the edges on some shortest walk; one per (u, v)\n" + "pair with multi_edge = False). With targets the search stops at the nearest targets' cost:\n" + "target_cost and the DAG of the walks between the roots and a nearest target (for REVERSE, from\n" + "the target to a root, in the edges' own direction);\n" + "with multipath = False, instead the canonical single path, the walk minimising (cost, -bottleneck\n" + "under PREFER_HIGHER_PRIORITY, hops, EdgeId sequence). Validated in this order before any work\n" + "(ValueError): the roots (non-empty, ids in range), the targets (the same), a node in both sets,\n" + "multipath = False without targets, the residual (length, then every entry in [0, capacity_units]),\n" + "min_residual >= 1, a foreign Eligibility. Excluded roots and targets are skipped; all roots\n" + "excluded gives an empty result."); +} + +} // namespace netgraph::core::bindings diff --git a/bindings/python/trace.hpp b/bindings/python/trace.hpp new file mode 100644 index 0000000..33eef25 --- /dev/null +++ b/bindings/python/trace.hpp @@ -0,0 +1,54 @@ +/* + The trace of a traced placement as Python values (the private hooks only). +*/ +#pragma once + +#include +#include +#include + +#include "netgraph/core/detail/hooks_flag.hpp" + +#if NETGRAPH_CORE_PRIVATE_HOOKS +#include +#include + +#include "netgraph/core/detail/trace.hpp" + +namespace py = pybind11; + +namespace netgraph::core::bindings { + +// A trace value as Python objects (map keys that are decimal integers become ints: the maps +// keyed by source NodeId). +inline py::object trace_obj(const detail::Trace& t) { + using K = detail::Trace::Kind; + switch (t.kind) { + case K::Null: return py::none(); + case K::Bool: return py::bool_(t.b); + case K::Int: return py::int_(t.i); + case K::Str: return py::str(t.s); + case K::List: { + py::list out; + for (const auto& x : t.items) out.append(trace_obj(x)); + return out; + } + case K::Map: { + py::dict out; + for (const auto& [k, x] : t.fields) { + const bool digits = !k.empty() && std::all_of(k.begin(), k.end(), [](char ch) { return ch >= '0' && ch <= '9'; }); + if (digits) { + out[py::int_(std::stoll(k))] = trace_obj(x); + } else { + out[py::str(k)] = trace_obj(x); + } + } + return out; + } + } + return py::none(); +} + +} // namespace netgraph::core::bindings + +#endif diff --git a/bindings/python/units.cpp b/bindings/python/units.cpp new file mode 100644 index 0000000..251de4b --- /dev/null +++ b/bindings/python/units.cpp @@ -0,0 +1,108 @@ +// to_units and as_float: physical values to integer units and back. +#include +#include +#include + +#include +#include +#include + +#include "netgraph/core/graph.hpp" +#include "integers.hpp" +#include "values.hpp" +#include "registration.hpp" + +namespace py = pybind11; + +namespace netgraph::core::bindings { + +namespace { + +// Physical numbers as a float64 array (or a 0-d array for a scalar); bools and strings rejected. +py::array_t physical_array(const py::handle& x) { + if (is_bool(x) || py::isinstance(x) || py::isinstance(x)) { + throw py::value_error("to_units takes physical numbers (a float or an array of floats)"); + } + auto np = py::module_::import("numpy"); + py::array raw = np.attr("asarray")(x); + const char kind = raw.dtype().kind(); + if (kind != 'f' && kind != 'i' && kind != 'u') { + throw py::value_error("to_units takes physical numbers (got dtype " + std::string(py::str(raw.dtype())) + ")"); + } + return py::array_t::ensure(raw); +} + +// x * 2^k for an unbounded Python int, correctly rounded: Python's int shift and int true +// division are exact or correctly rounded, so only a result beyond the finite doubles fails. +double scaled_python_int(const py::object& x, int k) { + try { + py::object r; + if (k >= 0) { + r = py::float_(x.attr("__lshift__")(py::int_(k))); + } else { + r = x.attr("__truediv__")(py::int_(1).attr("__lshift__")(py::int_(-k))); + } + return r.cast(); + } catch (py::error_already_set& e) { + if (e.matches(PyExc_OverflowError)) { + throw py::value_error("as_float: " + std::string(py::str(x)) + + " units times the resolution exceed the largest finite double"); + } + throw; + } +} + +// One Amount to a physical double; the resolution's exponent k is already validated. +double amount_as_float(const py::handle& item, int k, double resolution) { + py::object idx = python_int(item, "as_float: x"); + int overflow = 0; + const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); + if (overflow == 0) return as_float(static_cast(v), resolution); + return scaled_python_int(idx, k); +} + +} // namespace + +void register_units(py::module_& m) { + m.def( + "to_units", + [](const py::object& x, double resolution) -> py::object { + (void)resolution_exponent(resolution); // before the shape: an empty array is no exemption + auto arr = physical_array(x); + if (arr.ndim() == 0) return py::int_(to_units(*arr.data(), resolution)); + if (arr.ndim() != 1) throw py::value_error("to_units takes a float or a 1-D array of floats"); + py::array_t out(arr.size()); + auto in = arr.unchecked<1>(); + auto o = out.mutable_unchecked<1>(); + for (py::ssize_t i = 0; i < in.shape(0); ++i) o(i) = to_units(in(i), resolution); + return std::move(out); + }, + py::arg("x"), py::arg("resolution"), + "Physical value(s) to units of the resolution q, rounding half up: an int for a scalar, an\n" + "int64 array for an array. NaN, infinity, negative values and results at or above 2^62\n" + "units raise ValueError; q must be a power of two in [2^-32, 2^32]."); + + m.def( + "as_float", + [](const py::object& x, double resolution) -> py::object { + const int k = resolution_exponent(resolution); // the resolution before the shape + // A sequence, a NumPy array of any rank included: wide_integers refuses a rank other than 1. + if (!not_a_sequence(x)) { + const auto v = wide_integers(x, "as_float: x"); + py::array_t out(static_cast(v.size())); + auto o = out.mutable_unchecked<1>(); + for (std::size_t i = 0; i < v.size(); ++i) { + o(static_cast(i)) = v.sign(i) == 0 ? as_float(v.value[i], resolution) + : amount_as_float(v.source[py::int_(i)], k, resolution); + } + return std::move(out); + } + return py::float_(amount_as_float(x, k, resolution)); + }, + py::arg("x"), py::arg("resolution"), + "Units to physical value(s): x * q, correctly rounded (exact below 2^53 units). An int, of\n" + "any size, gives a float, an integer array a float64 array; a result beyond the finite\n" + "doubles raises ValueError; q must be a power of two in [2^-32, 2^32]."); +} + +} // namespace netgraph::core::bindings diff --git a/bindings/python/values.hpp b/bindings/python/values.hpp new file mode 100644 index 0000000..7ee09f0 --- /dev/null +++ b/bindings/python/values.hpp @@ -0,0 +1,111 @@ +/* + Small conversions shared by the registration files: read-only NumPy views that + keep their owner alive, the resolution's check, exact counters, int64 arrays, FlowIds, + (EdgeId, units) pairs and the type checks of option arguments. +*/ +#pragma once + +#include +#include +#include + +#include +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/flow_record.hpp" +#include "netgraph/core/flow_policy.hpp" +#include "netgraph/core/graph.hpp" +#include "netgraph/core/types.hpp" +#include "integers.hpp" + +namespace py = pybind11; + +namespace netgraph::core::bindings { + +// Read-only NumPy view of a span owned by `owner`. +template +py::array readonly_view(std::span s, const py::handle& owner, const py::dtype& dtype) { + static constexpr T empty_element {}; + py::array arr(dtype, {static_cast(s.size())}, {static_cast(sizeof(T))}, + s.empty() ? &empty_element : s.data(), owner); + py::detail::array_proxy(arr.ptr())->flags &= ~py::detail::npy_api::NPY_ARRAY_WRITEABLE_; + return arr; +} + +template +py::array readonly_view(std::span s, const py::handle& owner) { + return readonly_view(s, owner, py::dtype::of()); +} + +// Validates a resolution (a power of two in [2^-32, 2^32]) and returns its exponent. +inline int resolution_exponent(double resolution) { + (void)as_float(0, resolution); // throws the resolution message + return std::ilogb(resolution); +} + +inline py::object counter_int(const Counter128& c) { + py::int_ hi(c.hi); + py::int_ lo(c.lo); + return hi.attr("__lshift__")(py::int_(64)).attr("__or__")(lo); +} + +inline py::array_t int64_array(const std::vector& v) { + py::array_t out(static_cast(v.size())); + std::copy(v.begin(), v.end(), out.mutable_data()); + return out; +} + +inline FlowId flow_id_of(const py::object& obj) { + if (!py::isinstance(obj) || py::len(obj) != 2) { + throw py::value_error("a FlowId is a tuple (ledger uid, id)"); + } + auto t = py::reinterpret_borrow(obj); + py::object uid = python_int(t[0], "FlowId ledger uid"); + py::object id = python_int(t[1], "FlowId id"); + int o1 = 0, o2 = 0; + const unsigned long long u = PyLong_AsUnsignedLongLong(uid.ptr()); + if (PyErr_Occurred()) { + // Only the range error means no such ledger; another failure (memory running out while that + // error is raised) propagates as raised. + if (!PyErr_ExceptionMatches(PyExc_OverflowError)) throw py::error_already_set(); + PyErr_Clear(); + o1 = 1; + } + const long long i = PyLong_AsLongLongAndOverflow(id.ptr(), &o2); + if (o1 != 0 || o2 != 0 || i < 0) { + throw py::value_error("FlowId (" + std::string(py::str(uid)) + ", " + std::string(py::str(id)) + ") is retired or unknown"); + } + return FlowId {static_cast(u), static_cast(i)}; +} + +inline py::list pairs_list(const std::vector>& v) { + py::list out; + for (const auto& [e, x] : v) out.append(py::make_tuple(e, x)); + return out; +} + +inline OutputOptions outputs_of(const py::object& obj) { + if (obj.is_none()) return OutputOptions {}; + if (!py::isinstance(obj)) { + throw py::type_error("outputs must be an OutputOptions (got " + std::string(py::str(py::type::of(obj).attr("__name__"))) + + ")"); + } + return obj.cast(); +} + +template +Options options_of(const py::object& obj, const char* name) { + if (!py::isinstance(obj)) { + throw py::type_error(std::string(name) + " expected (got " + std::string(py::str(py::type::of(obj).attr("__name__"))) + + ")"); + } + return obj.cast(); +} + +} // namespace netgraph::core::bindings diff --git a/dev/coverage_summary.py b/dev/coverage_summary.py index ecd1b33..ae18ad9 100644 --- a/dev/coverage_summary.py +++ b/dev/coverage_summary.py @@ -10,46 +10,93 @@ Defaults: PY_XML = build/coverage/coverage-python.xml CPP_XML = build/coverage/coverage-cpp.xml + +A missing, unreadable or malformed report is an error (exit 1), never zero coverage, and so is a +report that counts no line, which would otherwise show as 100%: gcovr writes one, and exits 0, +when it reads no profile data (the profiles are not where it looks, or the filters match no +file), and coverage.py when the files it measured hold no statement. A report carries both +branch totals or neither, and covers at most what it counts. Each total is a count written in +decimal digits, optionally with a zero fraction ("12" or "12.0"), and at most 2**63 - 1 (far +beyond any real report); anything else (a sign, a nonzero fraction, an exponent, NaN or +infinity) is malformed. The counts are read and compared exactly. """ from __future__ import annotations +import argparse import html import os +import re import sys import xml.etree.ElementTree as ET from typing import Optional, Tuple +# A count: decimal digits, optionally with a zero fraction (some tools write "12.0"). +_COUNT = re.compile(r"([0-9]+)(?:\.0*)?") +_MAX_COUNT = 2**63 - 1 + + +class ReportError(Exception): + """A coverage report is missing, unreadable or malformed.""" + def parse_cobertura_totals( xml_path: str, ) -> Tuple[int, int, Optional[int], Optional[int]]: """Return (lines_valid, lines_covered, branches_valid, branches_covered). - Missing values are returned as None. If the file is missing, returns zeros/None. + The line totals are required; the branch totals are both None when the report has none. + Raises ReportError when the file is missing or unreadable, is not a Cobertura report, + holds a total that is not a count (the module docstring's spelling and bound), has one + branch total without the other, covers more lines or branches than it counts, or counts + no line (it measured nothing). """ - if not os.path.exists(xml_path): - return 0, 0, None, None - try: root = ET.parse(xml_path).getroot() - except Exception: - return 0, 0, None, None + except (OSError, ET.ParseError) as exc: + raise ReportError(f"{xml_path}: cannot read the report: {exc}") from exc + if root.tag != "coverage": + raise ReportError(f"{xml_path}: not a Cobertura report (root <{root.tag}>)") - def _to_int(value: Optional[str]) -> Optional[int]: + def _to_int(name: str, required: bool) -> Optional[int]: + value = root.attrib.get(name) if value is None: + if required: + raise ReportError(f"{xml_path}: no {name} total") return None - try: - # Some tools may write floats; coerce safely - return int(float(value)) - except Exception: - return None - - lines_valid = _to_int(root.attrib.get("lines-valid")) or 0 - lines_covered = _to_int(root.attrib.get("lines-covered")) or 0 - branches_valid = _to_int(root.attrib.get("branches-valid")) - branches_covered = _to_int(root.attrib.get("branches-covered")) - + match = _COUNT.fullmatch(value) + if match is None: + raise ReportError( + f"{xml_path}: {name}={value!r} is not a count (a nonnegative integer)" + ) + digits = match.group(1).lstrip("0") or "0" + if len(digits) > len(str(_MAX_COUNT)) or int(digits) > _MAX_COUNT: + raise ReportError( + f"{xml_path}: {name}={value!r} is above the largest count, 2**63 - 1" + ) + return int(digits) + + lines_valid = _to_int("lines-valid", True) + lines_covered = _to_int("lines-covered", True) + branches_valid = _to_int("branches-valid", False) + branches_covered = _to_int("branches-covered", False) + assert lines_valid is not None and lines_covered is not None + if lines_covered > lines_valid: + raise ReportError(f"{xml_path}: {lines_covered} lines covered of {lines_valid}") + if lines_valid == 0: + raise ReportError( + f"{xml_path}: the report counts no line (no coverage data was read, or the" + " measured files hold no statement)" + ) + if branches_valid is None or branches_covered is None: + if branches_valid is not None or branches_covered is not None: + raise ReportError( + f"{xml_path}: branches-valid and branches-covered must both be present or both absent" + ) + elif branches_covered > branches_valid: + raise ReportError( + f"{xml_path}: {branches_covered} branches covered of {branches_valid}" + ) return lines_valid, lines_covered, branches_valid, branches_covered @@ -70,10 +117,8 @@ def format_text_table( total_lines_valid = py_lines_valid + cpp_lines_valid total_lines_cov = py_lines_cov + cpp_lines_cov - # Branch totals only if present in both - have_branches = (py_br_valid is not None and py_br_cov is not None) or ( - cpp_br_valid is not None and cpp_br_cov is not None - ) + # Branch columns when either report has branch totals; a report without them counts 0 of 0. + have_branches = py_br_valid is not None or cpp_br_valid is not None total_br_valid = (py_br_valid or 0) + (cpp_br_valid or 0) if have_branches else 0 total_br_cov = (py_br_cov or 0) + (cpp_br_cov or 0) if have_branches else 0 @@ -108,31 +153,40 @@ def format_html_table(text_table: str, title: str = "Combined Coverage") -> str:

{html.escape(title)}

{pre}
""" -def main() -> int: - py_xml = ( - sys.argv[1] - if len(sys.argv) > 1 and not sys.argv[1].startswith("--") - else "build/coverage/coverage-python.xml" +def main(argv: Optional[list[str]] = None) -> int: + parser = argparse.ArgumentParser( + description="Combine the Python and C++ Cobertura reports into one summary." ) - cpp_xml = ( - sys.argv[2] - if len(sys.argv) > 2 and not sys.argv[2].startswith("--") - else "build/coverage/coverage-cpp.xml" + parser.add_argument( + "py_xml", nargs="?", default="build/coverage/coverage-python.xml" ) + parser.add_argument("cpp_xml", nargs="?", default="build/coverage/coverage-cpp.xml") + parser.add_argument( + "--html", metavar="OUT_HTML", help="also write the table as HTML" + ) + args = parser.parse_args(argv) - html_out: Optional[str] = None - for arg in sys.argv[1:]: - if arg.startswith("--html="): - html_out = arg.split("=", 1)[1] - - py_totals = parse_cobertura_totals(py_xml) - cpp_totals = parse_cobertura_totals(cpp_xml) + try: + py_totals = parse_cobertura_totals(args.py_xml) + cpp_totals = parse_cobertura_totals(args.cpp_xml) + except ReportError as exc: + print(f"coverage_summary.py: {exc}", file=sys.stderr) + return 1 text = format_text_table(py_totals, cpp_totals) print(text) + html_out: Optional[str] = args.html if html_out: - os.makedirs(os.path.dirname(html_out), exist_ok=True) - with open(html_out, "w", encoding="utf-8") as f: - f.write(format_html_table(text)) + out_dir = os.path.dirname(html_out) + try: + if out_dir: + os.makedirs(out_dir, exist_ok=True) + with open(html_out, "w", encoding="utf-8") as f: + f.write(format_html_table(text)) + except OSError as exc: + print( + f"coverage_summary.py: cannot write {html_out}: {exc}", file=sys.stderr + ) + return 1 return 0 diff --git a/dev/cpp-tests.sh b/dev/cpp-tests.sh index fdf03df..82ea132 100644 --- a/dev/cpp-tests.sh +++ b/dev/cpp-tests.sh @@ -1,36 +1,108 @@ #!/usr/bin/env bash -# Propagate configuration, build, and test failures; bound local CPU use. +# The C++ test runner (make cpp-test, cpp-test-off, sanitize-test, tsan-test, check-ci, cov). +# +# bash dev/cpp-tests.sh MODE +# +# MODE private hooks build type build directory +# release ON Release (LTO) build/cpp-tests +# off OFF Release (LTO) build/cpp-tests-off the shipped configuration +# sanitize ON Debug, ASan + UBSan build/cpp-sanitize +# tsan ON Debug, TSan build/cpp-tsan +# coverage ON Debug, --coverage build/cpp-tests-cov used by make cov +# +# Each mode has its own build directory and states every project option on the command line, so a +# value cached by an earlier configure never decides this one. One generator (Ninja), parallelism +# bounded by CMAKE_BUILD_PARALLEL_LEVEL (default 4), ctest fails when it finds no test, and every +# configuration, build or test failure fails the script. The skipped tests are checked: none in a +# hooks-on mode, exactly EXPECTED_OFF_SKIPS (the tests that need a hook) in mode off, so a test that +# silently became hooks-only is caught. set -euo pipefail cd "$(dirname "${BASH_SOURCE[0]}")/.." + +# The C++ tests that need the private hooks and skip without them (GTEST_SKIP). Inside tests that +# still run, three checks are weaker without them: the helper check_deletion +# (flow_core_deletion_tests.cpp) checks each re-solve's final result, but observes each repair step +# only through the probe hook (see that file's header); PolicyFixtures.EveryFixtureReplaysIdentically +# compares no trace and replays only the 58 fixtures that keep the default creation cap, and +# PolicyFixtures.ACorruptedExpectationFails corrupts only what that replay compares, in those 58 +# fixtures (see flow_policy_fixture_tests.cpp's header). +EXPECTED_OFF_SKIPS=" +FlowCoreDeletion.CheckpointsEqualTheIterativeUpdate +FlowCoreDeletion.RerunningTheFailedSearchAddsExactlyOneSearch +GraphLayout.CombinedKeyPassesOnlyBelowNTimesKEqualsE +GraphLayout.HashAndFallbackBoundaryAt65536DistinctCosts +GraphLayout.ProbeBudgetFallbackInCollectionAndGrowth +GraphLayout.ProbeBudgetIsCumulativeAcrossTheLargeTableGrowths +GraphLayout.RadixFallbackDigitsOnBothSidesOfTheCombinedKeyBoundary +GraphLayout.RunsOfEqualCostsSkipTheLookup +Search.QueueDispatchAtTheWidthLimit +" + +die() { echo "dev/cpp-tests.sh: $*" >&2; exit 1; } + jobs=${CMAKE_BUILD_PARALLEL_LEVEL:-4} case "$jobs" in ''|*[!0-9]*|0) echo 'CMAKE_BUILD_PARALLEL_LEVEL must be positive.' >&2; exit 2 ;; esac -tsan=OFF -case "${1:-release}" in - release) build_dir=build/cpp-tests; build_type=Release; sanitize=OFF ;; +mode=${1:-} +hooks=ON; sanitize=OFF; tsan=OFF; coverage=OFF +case "$mode" in + release) build_dir=build/cpp-tests; build_type=Release ;; + off) build_dir=build/cpp-tests-off; build_type=Release; hooks=OFF ;; sanitize) build_dir=build/cpp-sanitize; build_type=Debug; sanitize=ON ;; - # ThreadSanitizer (data races of the worker threads and the shared DagCache), its own build - # directory; the longest instrumented test takes about 30 s, inside the common timeout. - tsan) build_dir=build/cpp-tsan; build_type=Debug; sanitize=OFF; tsan=ON ;; - *) echo 'Expected release, sanitize or tsan.' >&2; exit 2 ;; + # ThreadSanitizer (data races of the worker threads and the shared DagCache); the longest + # instrumented test takes about 30 s, inside the common timeout. + tsan) build_dir=build/cpp-tsan; build_type=Debug; tsan=ON ;; + coverage) build_dir=build/cpp-tests-cov; build_type=Debug; coverage=ON ;; + *) echo 'Usage: bash dev/cpp-tests.sh release|off|sanitize|tsan|coverage' >&2; exit 2 ;; esac + +command -v cmake >/dev/null 2>&1 || die "cmake not found on PATH (make dev installs it into venv/bin)" +command -v ctest >/dev/null 2>&1 || die "ctest not found on PATH (make dev installs it into venv/bin)" +command -v ninja >/dev/null 2>&1 || die "ninja not found on PATH (make dev installs it into venv/bin)" +cache="$build_dir/CMakeCache.txt" +if [[ -f "$cache" ]] && ! grep -qx 'CMAKE_GENERATOR:INTERNAL=Ninja' "$cache"; then + die "$build_dir was configured by another generator ($(sed -n 's/^CMAKE_GENERATOR:INTERNAL=//p' "$cache")); remove that directory and rerun" +fi + if [[ "$(uname -s)" == Darwin ]]; then - export CC="$(xcrun --find clang)" - export CXX="$(xcrun --find clang++)" + CC=$(xcrun --find clang) + CXX=$(xcrun --find clang++) + export CC CXX export MACOSX_DEPLOYMENT_TARGET="${MACOSX_DEPLOYMENT_TARGET:-15.0}" leak_detection=0 else leak_detection=1 fi -cmake -S . -B "$build_dir" -DNETGRAPH_CORE_BUILD_TESTS=ON -DNETGRAPH_CORE_PRIVATE_HOOKS=ON \ - -DNETGRAPH_CORE_SANITIZE="$sanitize" -DNETGRAPH_CORE_TSAN="$tsan" -DCMAKE_BUILD_TYPE="$build_type" -cmake --build "$build_dir" --config "$build_type" --parallel "$jobs" if [[ "$sanitize" == ON ]]; then - export ASAN_OPTIONS="${ASAN_OPTIONS:-detect_leaks=$leak_detection}" + # A sanitizer report must fail, including during test discovery at build time. Append + # the failure settings after the caller's options; keep the platform's leak policy. + export ASAN_OPTIONS="${ASAN_OPTIONS:-detect_leaks=$leak_detection}:halt_on_error=1:exitcode=1" + export UBSAN_OPTIONS="${UBSAN_OPTIONS:+$UBSAN_OPTIONS:}halt_on_error=1:exitcode=1" fi if [[ "$tsan" == ON ]]; then - # A report aborts the test (halt_on_error=1; TSan's own default is exit code 66 at exit): - # ctest fails on any race. - export TSAN_OPTIONS="${TSAN_OPTIONS:-halt_on_error=1 second_deadlock_stack=1}" + export TSAN_OPTIONS="${TSAN_OPTIONS:-second_deadlock_stack=1}:halt_on_error=1:exitcode=1" +fi +cmake -S . -B "$build_dir" -G Ninja -DCMAKE_BUILD_TYPE="$build_type" \ + -DNETGRAPH_CORE_BUILD_TESTS=ON -DNETGRAPH_CORE_PRIVATE_HOOKS="$hooks" \ + -DNETGRAPH_CORE_SANITIZE="$sanitize" -DNETGRAPH_CORE_TSAN="$tsan" \ + -DNETGRAPH_CORE_COVERAGE="$coverage" -DNETGRAPH_CORE_NATIVE=OFF +cmake --build "$build_dir" --parallel "$jobs" +if [[ "$coverage" == ON ]]; then + # Test discovery runs each binary at build time and writes profiles that are no test's coverage. + find "$build_dir" -name '*.gcda' -delete +fi +log="$build_dir/ctest.log" +ctest --test-dir "$build_dir" --output-on-failure --parallel "$jobs" --timeout 120 --no-tests=error \ + 2>&1 | tee "$log" + +# ctest reports a GTEST_SKIP as "***Skipped" (gtest_discover_tests' skip pattern). +skipped=$(sed -n 's/^ *[0-9]*\/[0-9]* Test *#[0-9]*: \([^ ]*\) .*\*\*\*Skipped.*/\1/p' "$log" | LC_ALL=C sort) +if [[ "$hooks" == OFF ]]; then + expected=$(echo "$EXPECTED_OFF_SKIPS" | sed '/^$/d' | LC_ALL=C sort) + if [[ "$skipped" != "$expected" ]]; then + diff <(echo "$expected") <(echo "$skipped") >&2 || true + die "the skipped tests differ from the expected hook-only tests (< expected, > skipped)" + fi + echo "hooks off: exactly the $(echo "$expected" | wc -l | tr -d ' ') expected hook-only tests skipped" +elif [[ -n "$skipped" ]]; then + die "tests skipped in a hooks-on build: $(echo "$skipped" | tr '\n' ' ')" fi -ctest --test-dir "$build_dir" --build-config "$build_type" \ - --output-on-failure --parallel "$jobs" --timeout 120 --no-tests=error diff --git a/dev/perf/README.md b/dev/perf/README.md deleted file mode 100644 index d9c6cc0..0000000 --- a/dev/perf/README.md +++ /dev/null @@ -1,21 +0,0 @@ -# Performance tooling - -Developer-only tools for measuring NetGraph-Core. Nothing here ships in the -wheel or the sdist, and nothing here is run by CI; the repository gates -(`make check-ci`, `make sanitize-test`) remain the acceptance tests. - -- [`spf_queue/`](spf_queue/): the shortest-path frontier queue and workspace - work (plan, parity harness, old-versus-new bit-gate, NetGraph-level - benchmark, recorded A/B/A results and the independent review). Start with - [`spf_queue/PLAN.md`](spf_queue/PLAN.md). -- [`../benchmark_profiling_overhead.py`](../benchmark_profiling_overhead.py): - SPF and placement micro-benchmark used for the PGO training run - (`make install-pgo`) and for measuring profiling overhead. - -Conventions for performance claims (see `AGENTS.md`): verify correctness -first (bit-identical outputs where the contract is exact, certificates for -flows), then measure old/new/old in fresh processes on one quiet machine, -record load, hashes and raw samples, and treat differences inside the -run-to-run band as inconclusive. The research record behind the queue work, -including the Apple GPU investigation that preceded it, is in -[`../research/`](../research/). diff --git a/dev/perf/spf_queue/PLAN.md b/dev/perf/spf_queue/PLAN.md deleted file mode 100644 index 1696f0c..0000000 --- a/dev/perf/spf_queue/PLAN.md +++ /dev/null @@ -1,581 +0,0 @@ -# CPU optimisation implementation plan - -Status: implemented in the working tree (P0–P2 and the P3 fallback review -below); not yet committed or released. -Consolidated on 27 September 2026 against NetGraph-Core `fbab119`, revised the -same day after the [queue-substitution experiment](./), then updated -with the implementation and its old/new/old measurements. This is the current -CPU plan, superseding the implementation-order guidance in the two Metal -research reports. Those reports and their raw measurements remain the historical -evidence; the earlier BFS/Dial prototypes are now understood as special cases of -one queue. - -## Implementation status (27 September 2026) - -What landed, as one change on top of `fbab119`: - -- `StrictMultiDiGraph::from_arrays` records `max_cost()` and `cost_gcd()` in - its existing cost scan; they follow copies and moves as members. -- `shortest_paths_core` and `shortest_paths_to_core` share one relaxation loop - templated on the queue. `HeapQueue` is the reference binary heap on - `(cost, -bottleneck, node)`; `BucketQueue` is the ordered bucket queue - (`W = max_cost / gcd + 1` cyclic buckets, 64-bit occupancy bitmap, active - bucket kept as a heap on `(-bottleneck, node)`). Dispatch is - `W <= 65536`; `SpfQueue::Heap` or `NGRAPH_CORE_SPF_QUEUE=heap` forces the - reference route, `Bucket`/`bucket` prefers the bucket queue when eligible. -- Scratch state is a thread-local workspace per direction with touched-node - tracking and a hybrid reset (sparse when fewer than a quarter of the nodes - were touched, wholesale otherwise; the same predicate chooses how outputs are - materialised). An RAII lease restores the invariant on every exit path, - including the reverse search's fanout exceptions. Arrays shrink when a much - smaller graph is searched; entry arrays and buckets keep their capacity. -- Tests: `ShortestPaths.QueueDifferential_Forward` / `_Reverse` (forced heap - against forced bucket over ten random graph families, the option matrix, - five destinations, twice on the reused workspace; more than 25,000 - comparisons), `_ComparisonHasTeeth`, `BucketQueueKeepsCapacityOrderedPredecessors`, - `WorkspaceIsResetAfterFanoutThrow`, `WorkspaceReuseAcrossGraphSizesAndEmptyGraphs`, - `StrictMultiDiGraph.CostSummaryMaxAndGcd`, and a Python test that runs the - same script under both `NGRAPH_CORE_SPF_QUEUE` values and unset. -- Documentation: README environment table and CHANGELOG (Unreleased). No - Python API change; `_docs.py` is unchanged. - -Gates passed on the final code (logs in [cpu_queue/](./)): - -- Old-versus-new bit-gate ([bitgate/](bitgate/)): a C++ program that - exercises forward and reverse SPF with fanout, `calc_max_flow` in every - placement mode, `batch_max_flow`, `sensitivity_analysis`, `FlowPolicy` - place/rebalance/remove sequences and KSP through the public API, built once - against the `fbab119` sources and once against the working tree. 6,226 - output lines, identical SHA-256, also with the new build forced onto the heap. -- `bash .superset/workspace.sh check`: lint, types, 177 C++ tests, 466 Python - tests. `make sanitize-test`: 177 C++ tests under ASan/UBSan. -- NetGraph `dev/check_core_integration.sh` against this worktree: a wheel built - in a fresh environment, 1,278 NetGraph tests passed. -- The research harness, rebuilt against the new production sources, still - matches its copies of the old loop across 1,351,168 comparisons on both - routes. - -One finding from the first old/new/old pass that the earlier experiment could -not show: the new code's *heap* route (the fallback for `W > 65536`) was 8–15% -slower than the old heap. Two causes were fixed: the scratch arrays were reached -through the thread-local struct, so their base pointers were reloaded around -every store (now hoisted to raw pointers for the search), and the heap -comparator was a static function that decays to a function pointer inside -`std::push_heap`/`pop_heap` (now a functor, as the old lambda was). The -measured tables below are from the final code. - -A second finding concerns measurement, not Core: NetGraph's failure Monte Carlo -results differ between processes of the *same* build unless `PYTHONHASHSEED` -is fixed (set-iteration order), so the NetGraph driver pins it; with the seed -fixed, old and new digests agree ([hashseed-determinism.txt](results/netgraph/hashseed-determinism.txt)). - -## Independent review (2 October 2026) - -An independent reviewer (the `gpt-6-astra` model through the `codex` CLI, brief -and full report in [cpu_queue/review-astra/](review-2026-10/)) was -asked whether all easily achievable, reasonable optimisations had been -considered and verified. Its verdict: the algorithm choice is sound and the -weighted-graph and small-query gains reproduce independently, but several -small changes were missed, one exception path was wrong, and the retained -memory statement was false. Each finding was re-verified here before adoption -(harness parity on both routes, the old-versus-new bit-gate, the repository -gates and a fresh old/new/old sequence; tables below are from the final code). - -Adopted: - -- **Exception safety (reviewer finding 1, reproduced).** The source or target - node's distance was written before its `touched.push_back`; a throwing - allocation there left an unrecorded modification that the next same-sized - search would see. Nodes are now recorded before their entries are written, - and `WorkspaceLease` documents that rule. -- **Skip settled neighbours before scanning their parallel edges (finding - 3).** A settled node cannot be improved with non-negative costs and no longer - accepts equal-cost or capacity-tie updates, so its group is skipped before - any edge or bottleneck is examined. Dense unit fabrics, which the earlier - passes recorded as neutral, now gain about 1.3x. -- **One-pass predecessor output (finding 4).** Implemented as a live per-node - count maintained by the search (exact sizing, no over-reservation) rather - than the reviewer's reserve-and-append variant; the second list walk is gone. -- **Inline single-item frontier (finding 5).** A frontier of one node is held - inline and promoted into the buckets on the next push; chain graphs improve - from about 2.1x slower to about 1.6x slower than the old heap. -- **Retention bound (finding 6, counterexample reproduced).** Bucket item - storage accumulated the high-water marks of every bucket ever used. The queue - now drops its item storage when it exceeds four times the last search's peak - frontier plus 4,096 items, the growable buffers are released whenever the - node arrays shrink, and the code comment and this plan describe the actual - policy instead of "at most the largest graph". -- **Bitmap bookkeeping (finding 8).** `begin`/`end` touched every occupancy - word (O(W/64) per search, measurable for tiny searches at large `W`); the - words set during a search are now listed and only those are cleared. -- **Fixed-routing callers (finding 2).** `calc_max_flow` and - `FlowState::place_max_flow` with `require_capacity=false` recomputed an - identical cost-only search on every tier; the result is now computed once per - invocation. Outputs are bit-identical (bit-gate). -- **Two redundant copies (findings 10 and 13).** `get_path_bundle` moves its - DAG into the returned pair, and the `spf`/`spf_to` bindings move the DAG into - the Python tuple instead of copying it. -- **Measurement corrections.** Reverse-search rows are now part of the Core - sequence (P2's gate was previously marked done without them); the unit-cost - rows are described as "no demonstrated regression" rather than "within - drift"; the heap-route delta is recorded as unexplained (the reviewer's - ablations of touched tracking, item layout and front-copy pop all showed no - gain); and the earlier claim that a distance-only API would remove the O(N) - output floor was wrong, since a distance vector still has N entries. - -Recorded as follow-ups, not done: - -- A narrower internal result for callers that only inspect `dist[dst]` or the - DAG (max-flow, FlowPolicy, KSP spur searches), which is the only lever left - for tiny searches on large graphs (finding 9). -- KSP's per-spur O(N+E) mask allocations and copies (finding 11), and - `place_on_dag`'s quadratic parent grouping on wide ECMP DAGs (finding 14), - both outside the search. -- `W_max` on a second platform, a two-level occupancy summary for very wide - ranges, and the reviewer's boundary rows (at `W` = 65,535–65,536 full - searches still gain about 1.4x while first-neighbour queries pay 9–17% - against the new heap route), which argue against raising the limit from the - full-search sweep alone (finding 8). -- A zero-copy int64 distance result in the bindings (finding 13), and the - stale `has_min_flow` memo-key discriminator in `FlowPolicy` (finding 10). -- Refuted by the reviewer: a gcd early-out in graph construction (finding 12). - -### Measured against the previous production build - -Both sequences ran one fresh process per phase in the order old (A1), new, -new forced onto the heap route, old (A2), on the final code (after the -independent review). The old build is the `fbab119` sources; the harness -binaries and the NetGraph extension modules are hashed in each -`environment.txt`. Load averages were 3.8–5.9 during both sequences because -other sessions were active; the desktop was not isolated, so differences under -about 5% are within run-to-run noise here. Earlier sequences on the -pre-review code are kept in the same directories' history -(the reviewer's own runs). - -Core level ([results-core](results/core/), harness `ref` = the -production function of each build, sequential, nine samples, medians in ms): - -| Workload: case / nodes / edges / queries / destination | W | Old A1 / A2 | New | New, forced heap | Old / new | -|---|---:|---:|---:|---:|---:| -| random / 1,024 / 8,192 / 1 / none | 32 | 0.107 / 0.102 | 0.067 | 0.089 | 1.52–1.60 | -| random / 4,096 / 32,768 / 256 / none | 32 | 211.6 / 207.6 | 132.6 | 221.3 | 1.57–1.60 | -| random / 16,384 / 131,072 / 64 / none | 32 | 254.4 / 250.6 | 150.9 | 266.1 | 1.66–1.69 | -| random / 65,536 / 524,288 / 1 / none | 32 | 21.21 / 19.03 | 11.51 | 23.14 | 1.65–1.84 | -| random, degree 32 / 4,096 / 131,072 / 64 / none | 32 | 112.0 / 110.6 | 77.1 | 115.4 | 1.43–1.45 | -| random, masked / 16,384 / 131,072 / 64 / none | 32 | 230.0 / 229.2 | 140.9 | 236.7 | 1.63 | -| random / 262,144 / 2,097,152 / 1 / none | 32 | 136.6 / 133.8 | 96.2 | 130.3 | 1.39–1.42 | -| random / 1,024 / 8,192 / 64 / farthest | 32 | 10.81 / 10.65 | 7.09 | 11.21 | 1.50–1.52 | -| random / 16,384 / 131,072 / 64 / farthest | 32 | 251.6 / 250.5 | 149.8 | 264.0 | 1.67–1.68 | -| random / 65,536 / 524,288 / 16 / farthest | 32 | 324.3 / 330.2 | 201.2 | 336.0 | 1.61–1.64 | -| uniform cost 31 / 16,384 / 131,072 / 64 / none | 2 | 181.4 / 177.1 | 146.3 | 178.6 | 1.21–1.24 | -| unit grid / 10,000 / 39,600 / 1 / none | 2 | 0.614 / 0.618 | 0.459 | 0.635 | 1.34–1.35 | -| unit fabric / 800 / 320,000 / 64 / none | 2 | 143.9 / 144.3 | 110.2 | 111.1 | 1.31 | -| pseudo src/sink fabric / 802 / 320,200 / 64 / fixed pair | 2 | 143.4 / 143.9 | 108.0 | 110.3 | 1.33 | -| chain / 2,048 / 2,047 / 1 / none | 32 | 0.021 / 0.021 | 0.027 | 0.029 | 0.77–0.78 | -| random / 1,024 / 8,192 / 64 / first neighbour | 32 | 0.116 / 0.115 | 0.043 | 0.038 | 2.70–2.72 | -| random / 16,384 / 131,072 / 64 / first neighbour | 32 | 1.160 / 1.158 | 0.402 | 0.392 | 2.88 | -| random / 65,536 / 524,288 / 64 / first neighbour | 32 | 4.351 / 4.254 | 1.506 | 1.517 | 2.83–2.89 | -| random / 262,144 / 2,097,152 / 16 / first neighbour | 32 | 4.509 / 4.053 | 1.491 | 1.471 | 2.72–3.02 | -| reverse: random / 4,096 / 32,768 / 64 | 32 | 55.85 / 55.34 | 34.23 | 58.82 | 1.62–1.63 | -| reverse: random / 16,384 / 131,072 / 16 | 32 | 66.55 / 66.34 | 38.67 | 69.33 | 1.72 | -| reverse: unit fabric / 800 / 320,000 / 16 | 2 | 45.43 / 45.72 | 37.15 | 36.90 | 1.22–1.23 | -| reverse: chain / 2,048 / 2,047 / 1 | 32 | 0.002 / 0.003 | 0.001 | 0.001 | 2.57–2.61 | - -Cost-range sweep (random 16,384 / 131,072, 16 full-source queries, costs in -`1..K`), same sequence: - -| K | W | Old A1 / A2 | New | New, forced heap | Old / new | -|---:|---:|---:|---:|---:|---:| -| 1 | 2 | 44.4 / 45.3 | 36.5 | 44.9 | 1.22–1.24 | -| 31 | 32 | 64.5 / 62.6 | 37.2 | 65.9 | 1.68–1.73 | -| 1,023 | 1,024 | 59.2 / 58.9 | 35.3 | 64.5 | 1.67–1.68 | -| 32,767 | 32,768 | 51.3 / 51.2 | 42.7 | 53.3 | 1.20 | -| 1,048,575 | heap fallback | 49.7 / 49.5 | 52.8 | 51.6 | 0.94 | -| 33,554,431 | heap fallback | 51.0 / 49.6 | 51.2 | 52.8 | 0.97–1.00 | - -NetGraph level ([results-netgraph](results/netgraph/), -[bench_netgraph.py](bench_netgraph.py) run by NetGraph's interpreter -against each build with `PYTHONHASHSEED=0`, five samples, medians in ms, every -workload's result digest identical across all four phases): - -| Workload | Old A1 / A2 | New | New, forced heap | Old / new | -|---|---:|---:|---:|---:| -| full-source `spf`, 2-tier Clos 200×200 (400 sources) | 214.2 / 212.7 | 163.4 | 164.6 | 1.30–1.31 | -| full-source `spf`, weighted grid 100×100 (50 sources) | 220.8 / 220.3 | 181.7 | 245.4 | 1.21–1.22 | -| bound-context `max_flow`, Clos 200×200, combine, ×50 | 52.6 / 51.9 | 47.1 | 46.8 | 1.10–1.12 | -| `max_flow` with 100 link-exclusion sets, Clos 100×100 | 44.3 / 43.0 | 40.4 | 39.3 | 1.06–1.10 | -| bound-context `max_flow`, weighted grid, combine, ×20 | 202.9 / 202.1 | 174.6 | 219.1 | 1.16 | -| `max_flow`, weighted grid, pairwise corners, ×5 | 204.0 / 200.6 | 208.2 | 212.9 | 0.96–0.98 | -| demand placement, backbone_clos matrix, ×50 | 69.2 / 67.4 | 69.0 | 68.7 | 0.98–1.00 | -| placement Monte Carlo, backbone_clos, 300 iterations | 74.5 / 75.3 | 67.8 | 71.4 | 1.10–1.11 | -| max-flow Monte Carlo, backbone_clos, 300 iterations | 29.3 / 29.1 | 27.6 | 29.0 | 1.06 | -| KSP k=8, 3-tier Clos, 56 leaf pairs | 54.7 / 53.4 | 46.3 | 46.2 | 1.15–1.18 | -| `max_flow`, 3-tier Clos, 56 pod pairs, combine | 167.5 / 166.1 | 168.2 | 171.8 | 0.99–1.00 | -| placement, 3-tier Clos, 64 WCMP + 8 ECMP demands | 366.4 / 363.3 | 376.3 | 368.9 | 0.97 | -| placement with 20 link-failure sets, 3-tier Clos | 7,646 / 7,548 | 7,640 | 7,571 | 0.99–1.00 | -| scenario square_mesh.yaml, 100 iterations, serial | 10.3 / 10.3 | 9.9 | 9.9 | 1.04 | -| scenario nsfnet.yaml, 200 iterations, serial | 958.2 / 939.1 | 929.6 | 912.2 | 1.01–1.03 | -| scenario backbone_clos.yml, 100 iterations, serial | 82.3 / 81.1 | 78.3 | 77.6 | 1.04–1.05 | - -Reading of the two sequences: - -- **Weighted graphs** (`W` between 32 and 32,768) gain 1.4–1.8x at the Core - level, forward and reverse, and 1.16–1.22x end to end on the weighted grid - workloads in NetGraph, where graph preparation, Python and placement share - the time. -- **Unit-cost fabrics** (`W = 2`), the class NetGraph's Clos scenarios and - pseudo source/sink max-flow graphs belong to, now gain 1.2–1.35x at the Core - level (settled-neighbour skip and one-pass output, adopted from the review) - and 1.06–1.3x through NetGraph's SPF, max-flow, KSP and Monte Carlo paths. - The wide-ECMP placement rows (0.97–1.00) are not a demonstrated regression: - they lie inside the run-to-run band and are dominated by placement, whose - quadratic parent grouping is a recorded follow-up. -- **Small destination-limited searches** gain 2.7–3.0x from the workspace - regardless of the queue (the forced-heap column matches the bucket column). -- **Fallback class** (`W > 65,536`): the two fallback rows are 0.94 and - 0.97–1.00 of the old heap; the forced-heap column on eligible graphs is - 0.82–0.97, which is the same unexplained route penalty. The reviewer's - ablations (touched tracking, item layout, front-copy pop) showed no gain, - so its cause remains open; it is recorded, not rationalised. -- **Chain graphs** are now 0.77x (about +6 µs on a 21 µs query) on the bucket - route after the inline single-item frontier, from 0.47x before. -- **Correctness**: every NetGraph workload digest was identical across old, - new and the forced heap; the Core parity, differential tests and the - old-versus-new bit-gate remain the semantic evidence, since these digests - only summarise distances and parent counts. - -## What the experiment established (27 September 2026) - -Harness: [cpu_queue/](./) is plain C++ (no Objective-C++ or Metal) and -compiles the production `shortest_paths.cpp` beside a copy of its forward loop -with the queue and workspace injected ([spf_variants.hpp](spf_variants.hpp), -[harness.cpp](harness.cpp)). Results are in -[cpu_queue/results](results/first/) and [cpu_queue/results-short](results/short/); -the earlier research results are untouched. - -**Parity.** 1,351,168 comparisons against the production `shortest_paths`, -bit-exact on distances, `parent_offsets`, `parents` and `via_edges`, over: twelve -masked random seeds, six graphs with zero-cost cycles, int64-offset costs (which -exercise the heap fallback), a unit grid, uniform cost 31, costs to 100,000, a -fabric with NetGraph-style zero-cost pseudo source/sink attachments, a chain, a -dense fabric and a 12-node multigraph with self-loops, parallel edges and -residuals at multiples of `kMinCap`; times `{multipath, single-path}` × -`{multi-edge, single-edge}` × `{Deterministic, PreferHigherResidual}` × -`{require_capacity}` × `{residual}` × `{masks}` × destinations `{none, first -neighbour, farthest, self, arbitrary}`, each run twice on a reused workspace. -Zero mismatches for every queue/workspace variant. The checker has teeth: -dropping the bottleneck key from the bucket comparator produces 167,636 -mismatches. ASan/UBSan runs of the same matrix are clean -([plain](results/first/correctness.txt), -[sanitized](results/first/correctness-sanitized.txt), -[teeth](results/first/correctness-teeth.txt)). - -**Timing.** Sequential, single thread, one process per variant, production -reference first and last (A1/A2), nine samples after two checked warmups, -medians in milliseconds for the whole query set, every timed result verified -against the reference outside the timed interval. `bucket` is the ordered bucket -queue; `fresh` allocates scratch per query as production does; `sparse` reuses a -workspace and resets only touched nodes; `hybrid` picks full or sparse reset -from the touched count after the search. Load average was 2.9–4.1 on 14 cores -throughout; the desktop was not isolated. - -| Workload: case / nodes / edges / queries / destination | W | Production A1 / A2 | bucket, fresh | bucket, sparse | bucket, hybrid | -|---|---:|---:|---:|---:|---:| -| random / 1,024 / 8,192 / 1 / none | 32 | 0.101 / 0.104 | 0.078 | 0.069 | — | -| random / 4,096 / 32,768 / 256 / none | 32 | 198.7 / 205.8 | 117.7 | 122.1 | — | -| random / 16,384 / 131,072 / 64 / none | 32 | 238.8 / 245.6 | 133.4 | 140.3 | 142.5 † | -| random / 65,536 / 524,288 / 1 / none | 32 | 18.38 / 19.63 | 10.96 | 10.68 | 10.80 † | -| random, degree 32 / 4,096 / 131,072 / 64 / none | 32 | 106.7 / 109.0 | 64.1 | 65.8 | — | -| random, masked / 16,384 / 131,072 / 64 / none | 32 | 219.5 / 225.3 | 130.6 | 138.4 | — | -| random / 262,144 / 2,097,152 / 1 / none | 32 | 119.7 / 125.2 | 83.6 | 87.0 | 84.5 † | -| random / 1,024 / 8,192 / 64 / farthest | 32 | 10.13 / 10.43 | 6.26 | 6.55 | — | -| random / 16,384 / 131,072 / 64 / farthest | 32 | 240.0 / 246.3 | 134.8 | 140.8 | — | -| random / 65,536 / 524,288 / 16 / farthest | 32 | 289.4 / 299.9 | 162.7 | 176.1 | — | -| uniform cost 31 / 16,384 / 131,072 / 64 / none | 2 | 170.3 / 175.4 | 142.4 | 140.7 | — | -| unit grid / 10,000 / 39,600 / 1 / none | 2 | 0.614 / 0.622 | 0.466 | 0.497 | — | -| unit fabric / 800 / 320,000 / 64 / none | 2 | 142.1 / 143.6 | 126.1 | 127.9 | 142.1 † | -| pseudo src/sink fabric / 802 / 320,200 / 64 / fixed pair | 2 | 140.6 / 142.2 | 125.5 | 127.2 | — | -| chain / 2,048 / 2,047 / 1 / none | 32 | 0.021 / 0.021 | 0.045 | 0.045 | 0.041 † | -| random / 1,024 / 8,192 / 64 / first neighbour | 32 | 0.105 / 0.120 | 0.111 | 0.043 | — | -| random / 16,384 / 131,072 / 64 / first neighbour | 32 | 1.044 / 1.171 | 1.190 | 0.393 | 0.390 † | -| random / 65,536 / 524,288 / 64 / first neighbour | 32 | 4.034 / 4.207 | 4.332 | 1.489 | 1.484 † | -| random / 262,144 / 2,097,152 / 16 / first neighbour | 32 | 3.872 / 3.997 | 4.090 | 1.449 | 1.442 † | - -† from the [second, shorter sequence](results/short/), whose own -production A1/A2 were 240.6 / 245.4, 18.51 / 18.77, 137.8 / 141.6, 0.021 / 0.023, -1.047 / 1.104, 4.206 / 4.305, 3.913 / 19.193 and 119.5 / 124.2 for the rows marked. - -Cost-range sweep, random 16,384 nodes / 131,072 edges, 16 full-source queries, -costs uniform in `1..K` ([sweep files](results/first/)): - -| K | W | Production | bucket, sparse | Ratio | -|---:|---:|---:|---:|---:| -| 1 | 2 | 43.7 | 35.2 | 1.24 | -| 31 | 32 | 62.1 | 35.8 | 1.74 | -| 1,023 | 1,024 | 58.2 | 34.1 | 1.71 | -| 32,767 | 32,768 | 50.0 | 35.0 | 1.43 | -| 1,048,575 | 1,048,576 | 48.6 | 46.8 | 1.04 | -| 33,554,431 | fallback | 48.9 | 56.5 (harness heap) | — | - -Interpretation to carry into implementation: - -- **Weighted graphs, `W` ≤ 32,768: 1.4–1.8x** over the production heap under - the full contract, sequentially, whether the query is full-source, farthest - destination or masked. Production A1/A2 drift was 2–7% on these rows (up to - 14% on sub-millisecond rows), so these clear the decision gate on this - machine. The 1,024-node single query improves 1.3–1.5x. -- **Uniform-cost graphs: 1.1–1.3x, and inconclusive on the dense fabric.** With - `W = 2` the queue is a small share of the work; edge scanning dominates the - 800-node fabric with 320,000 edges (0.97–1.13x across the two sequences). The - unit grid improves 1.32x, uniform cost 31 improves 1.2x. -- **Destination-limited queries that touch few nodes are bounded by O(N) - per-query overhead, not by the queue.** Production spends about 1.6 µs at - 1,024 nodes, 16 µs at 16,384, 63 µs at 65,536 and 242 µs at 262,144 per - first-neighbour query; the queue variant alone does not change this. Reusing - the workspace with a full reset changes nothing (consistent with the earlier - thread-local measurement recorded in the perf notes), while resetting only - touched nodes removes about 60% (2.4–3.0x). The remaining floor is the - N-sized `dist` and `parent_offsets` outputs that the API returns. -- **Hybrid reset is the right default:** it matches sparse on small queries and - full reset on full-graph queries, where sparse tracking costs 3–5%. -- **Chain graphs regress 1.7–2.1x (+15–24 µs on a 21 µs query)** in this - pre-implementation experiment (later reduced to 1.3x by the inline - single-item frontier adopted from the review). Every pop - advances the active bucket, so the per-pop bookkeeping (occupancy bitmap, - heap rebuild of a one-element bucket) exceeds a one-element binary heap. - Replacing the modulo by a power-of-two mask did not remove it. This is the - smallest absolute regression in the matrix and no production caller runs on - a path graph, but it is repeatable and must be recorded, not hidden. -- **Sorting each bucket once instead of heaping it is slower** on weighted - graphs (up to 8%) and equal on uniform graphs, except the unit grid (0.393 vs - 0.466). It is not worth a second queue. -- **The harness's own heap copy runs 7–14% slower than production** on the - random workloads. The cause is not isolated (candidates: the touched-node - branch per relaxation, runtime mode checks, scratch arrays reached through a - struct instead of locals). Production work must therefore be measured against - production, not against the harness heap, and P1 must check that its - workspace integration does not carry this penalty. The bucket gain is far - larger than the penalty. -- **Decomposition of the earlier prototype gain.** The research Dial package - reached 3.6x over native on the 16k/64 batch with ten workers and a relaxed - contract (no capacity ordering, canonical incoming-CSR DAG, cached eligibility - bitmap). The contract-preserving queue alone gives 1.8x sequentially. Roughly - half of the prototype's advantage came from dropping the contract and is not - available to production; the other half is. -- **One unattributed transient.** In two of twelve fresh-allocation phases the - 262,144-node first-neighbour set took 19 ms instead of 4 ms (once in the - harness heap copy, once in the production reference A2); none of fourteen - reused-workspace phases did. A page-fault probe in a fresh process showed - neither faults nor slowness. It is recorded as environmental variance, not as - a property of either implementation. -- Timings are sequential and cover synthetic graphs; ten-worker batch timings - from the research are not comparable row for row. No end-to-end flow - improvement is measured yet. - -## What the first consolidation overlooked - -1. **Every production caller is destination-limited.** `calc_max_flow`, - `FlowState::place_max_flow`, `FlowPolicy::get_path_bundle` and the KSP spur - searches all pass `dst`; only NetGraph's cost/DAG-cache paths call `spf` - without one. The earlier dispatch table sent destination-limited searches - to the existing implementation, which would have excluded the callers that - dominate placement time. Early-exit parity is now verified, so - destination-limited queries are in scope from the first enablement. -2. **Zero-cost edges are the normal case downstream.** NetGraph attaches pseudo - source/sink nodes with cost-0 augmentation edges, so "any zero-cost graph - stays on the heap" would have excluded every max-flow analysis. Zero-cost - pushes land in the active bucket's heap and are verified against the native - settled-node acyclicity rule; the dispatch condition is only `W`. -3. **The dominant fixed cost of small queries is O(N) scratch initialisation**, - which no queue change touches; touched-node reset addresses it and was not - in the previous plan (which specified a complete reset). -4. **Uniform non-unit costs** are covered by the gcd stride rather than by a - separate BFS; they were previously flagged as untested. -5. **Reverse SPF** (`shortest_paths_to_core`) has the same queue and takes the - same substitution mechanically; it is not yet measured. KSP's private - `dijkstra_single` is a cost-only search on a different key and is out of - scope for the first change. -6. **Ordered parity is not an open research question**; it follows from queue - monotonicity. The plan no longer needs "investigate per-layer ordering" or - "a LIFO vector is not sufficient" as open items. - -## Contract and fallback rules - -Keep `Cost=int64_t`, `Cap=double`, the unreachable sentinel and graph cost-sum -bound. Preserve validation, empty graphs, invalid/blocked endpoints, masks, -reverse DAG orientation, parallel-edge IDs, multipath selection, single-path -capacity ties, destination early exit and `fanout_edges` behaviour. The queue -key stays `(distance, -bottleneck_capacity, node_id)` with the existing -`kEpsilon` stale-entry and re-push semantics; boolean eligibility cannot replace -the capacity values used for ordering. SPF excludes `rem < kMinCap` when -capacity gating applies; a supplied residual forces that gate. - -Dispatch is a graph property, decided before the search starts: - -| Condition | Route | -|---|---| -| `W = max_cost / gcd + 1 ≤ W_max` (any mix of zero and positive costs, any selection mode, any destination, forward or reverse once P2 lands) | Ordered bucket queue | -| `W > W_max` (wide or int64-offset costs) | Existing heap | -| Forced reference (tests, benchmarks) | Existing heap | - -`W_max` starts at 65,536 (2^16): the sweep shows 1.4x at `W = 32,768` and -break-even near `W = 2^20`. Memory per workspace is `W` empty vector headers -plus a `W`-bit occupancy bitmap, about 1.6 MB at the limit. Widening the range -(two-level occupancy summary, or a radix heap whose last level is ordered the -same way) is later work with its own sweep. The graph-level `max_cost` is an -upper bound for every masked query, so no per-query rescan is needed; a -masked-out wide edge merely wastes empty buckets. - -## Implementation sequence - -### P0 — Parity oracle and forced route (done) - -The harness is the parity oracle. Before production work, add the equivalent -differential test to [tests/cpp](../../../tests/cpp/shortest_paths_tests.cpp): -the forced-heap route against the dispatched route over random graphs, the -option matrix and the destination set above, bit-exact on all four output -arrays, plus a guard test proving the comparison rejects a wrong ordering. -Forcing must be reachable from tests and benchmarks without a public API -(an internal function parameter or a build/env switch used only there). - -Keep the measured originals and hashes intact; write new results to new -directories. Dynamic profiling of NetGraph callers (full versus -destination-limited counts, touched fraction, weight range) remains useful for -the downstream gate but no longer blocks the first enablement, because both -call classes are covered. - -**Exit:** differential test with teeth in the C++ suite; forced route available. - -### P1 — Queue and workspace in the forward search (done) - -Work in [shortest_paths.cpp](../../../src/shortest_paths.cpp) and -[strict_multidigraph.cpp](../../../src/strict_multidigraph.cpp): - -- Record `max_cost` and the cost gcd in `from_arrays`'s existing cost scan as - members, so they follow copies and moves; no process-global cache keyed by a - graph address. -- Replace the priority queue in `shortest_paths_core` with the ordered bucket - queue when `W ≤ W_max`; keep the heap code path intact for the fallback and - the forced route. Keep the relaxation loop shared between routes (one loop, - two queue types), as the harness does, so parity is structural. -- Give the search a reusable workspace (distances, bottlenecks, predecessor - heads/tails, settled flags, entry arrays, queue buckets) with touched-node - tracking and the hybrid reset. Concurrency: `batch_max_flow` and - `sensitivity_analysis` run on `std::async` threads and Python callers release - the GIL, so the workspace must be per thread (thread-local) or caller-owned; - it must hold no pointer into a graph, residual or mask. Bound retained memory: - one workspace per thread sized to the largest graph seen, and state the bound - (or add a shrink rule) in the code comment and in `_docs.py` if it is - observable. Returned vectors must own their data. -- Early exit leaves items in buckets; clear only occupied buckets. - -**Exit:** the existing positive-cost SPF output hash and the flow output hash -from the August review are unchanged; the differential test passes; the full -suite and `make sanitize-test` pass; A/B/A against `main` on the harness -workloads reproduces the table above within drift, including the recorded -chain regression; no new implicit threads. - -### P2 — Reverse search and KSP (done for the reverse search) - -Apply the same substitution to `shortest_paths_to_core` (same key, in-adjacency) -and measure it with reverse workloads added to the harness. Leave KSP's -`dijkstra_single` alone unless profiling shows it matters. - -**Exit:** parity for reverse results including `fanout_edges`, and a measured -result either way. - -### P3 — Limits, regressions and dispatch review (fallback reviewed; second machine class pending) - -Confirm `W_max` on a second machine class (Linux/x86 CI-class hardware), and -decide the chain-like regime: the inline single-item frontier cut the recorded -regression to about 6 µs on a 21 µs query; either accept that residual on -frontier-of-one searches or reduce the per-pop advance cost and re-measure. Do -not choose the queue per query retrospectively; the rule stays a graph property. - -**Exit:** dispatch rule frozen with a held-out workload pass. - -### P4 — Downstream validation, then batching and GPU reconsideration (validation done; batching/GPU unchanged) - -Run NetGraph's profiles and representative demand/flow runs with the chosen -Core build, including residual updates, mask changes, cache hit/miss cases, -all placement modes and path-cost constraints. For max-flow behaviour, check -feasibility, conservation and optimality/cut certificates with nonuniform -costs, masks and cost-factor cases; SPF distance agreement alone does not -satisfy this gate. - -Explicit CPU batching stays conditional on demonstrated independent-query -callers: deterministic result order, bounded worker count, per-worker scratch -and bounded output memory. Sequential flow augmentations with changing -residuals cannot be batched as if independent. Any public batch or -distance-only extension must preserve current defaults and update bindings and -`_docs.py` together; a distance-only result would also remove the O(N) output -floor measured above, which is the only remaining lever for tiny queries on -large graphs. It is not a prerequisite for shipping this change. - -Revisit GPU only against the accepted CPU implementation and matching result -contracts; this plan does not require Metal, GPU frontier queues or automatic -CPU/GPU selection. - -## Acceptance and validation - -Correctness gates precede performance claims. Cover forward/reverse results, -both edge tie-break policies, multipath/single-path, multi-edge/single-edge, -parallel edges, self-loops, zero-cost cycles, isolated vertices, empty graphs, -invalid and blocked endpoints, all-masked graphs and malformed spans. Include -costs above `2^53`, near the constructor's bound, `W` at and just above -`W_max`, long chains, duplicate/stale queue entries, uniform non-unit weights, -and capacity values at/around `kMinCap` and the tie epsilon. Mutate masks and -residual contents in place between calls, including changes that leave -eligibility unchanged. Verify graph lifetime, workspace reuse across graphs of -different sizes, concurrent callers, repeated determinism, fanout validation, -target early exit and capped enumeration. - -Relevant existing suites include [C++ SPF](../../../tests/cpp/shortest_paths_tests.cpp), -[masking](../../../tests/cpp/masking_tests.cpp), -[Python edge selection](../../../tests/py/test_spf_edge_select.py), -[path enumeration](../../../tests/py/test_paths_resolve.py), -[reverse SPF](../../../tests/py/test_spf_to.py), -[memoisation](../../../tests/py/test_flow_policy_spf_memo.py), -[thread safety](../../../tests/py/test_thread_safety.py), and -[lifetime safety](../../../tests/py/test_lifetime_safety.py). - -For each change, run correctness-checked old/new/old in fresh processes on one -quiet machine, same build settings, with builds/tests excluded from the timed -run. Record raw samples, hashes, workload parameters, load, fallback counts and -peak memory. Keep warm reused-query timing, first-query timing and -changing-input end-to-end timing separate. Ship a class only when the new median -improves beyond both A1/A2 drift and sample variability, with no unrecorded -regression in its supported classes or reference fallback. A single M4 result -is insufficient to set `W_max` for every supported platform. - -Reproduce the experiment from the repository root: - -```sh -bash dev/perf/spf_queue/build.sh -build/perf/cpu-queue correctness -bash dev/perf/spf_queue/run_aba.sh -python3 dev/perf/spf_queue/summarize.py -bash dev/perf/spf_queue/build.sh sanitize -ASAN_OPTIONS=detect_leaks=0 build/perf/cpu-queue-sanitize correctness -``` - -For implementation changes, run: - -```sh -bash .superset/workspace.sh setup # when the worktree environment needs setup -bash .superset/workspace.sh check # rebuild extension, lint, types, C++ and Python -make sanitize-test # required for C++ changes -bash /Users/networmix/ws/NetGraph/dev/check_core_integration.sh \ - /absolute/path/to/the/chosen/NetGraph-Core-worktree -``` - -Use the actual worktree's absolute path for downstream verification. Local -checks do not replace CI. The prior research passed 170 C++ and 465 Python -tests plus sanitizers; that is baseline evidence, not completion of any -implementation gate. - -**Immediate next step:** review and commit the working-tree change (a -version bump and CHANGELOG date at release time), then confirm `W_max` on a -Linux/x86 CI-class machine before treating the chain-graph and wide-cost -fallback numbers as portable. Batching and GPU work remain later, conditional -items. diff --git a/dev/perf/spf_queue/README.md b/dev/perf/spf_queue/README.md deleted file mode 100644 index fe7286a..0000000 --- a/dev/perf/spf_queue/README.md +++ /dev/null @@ -1,73 +0,0 @@ -# Ordered bucket queue experiment (CPU only) - -Plain C++ harness (no Objective-C++ or Metal) behind the -[CPU optimisation plan](PLAN.md). It compiles the production -`src/shortest_paths.cpp` next to a copy of its forward search loop in which only -the priority queue and the scratch workspace are pluggable, then checks every -variant bit-exactly against the production function and times them. - -- `spf_variants.hpp`: `HeapQueue` (production key), `BucketHeapQueueT` (monotone - cyclic buckets, active bucket kept as a heap on `(-bottleneck, node)`; the - `` instantiation masks instead of taking a modulo), `BucketSortQueue` - (sorted active bucket plus a side heap), `Workspace` (fresh, full reset, - sparse reset, hybrid reset) and `spf_variant`, the shared loop. -- `harness.cpp`: workload generators (the research generator verbatim, plus - uniform, wide, zero-cost-cycle and pseudo source/sink cases), the parity - matrix, timing and the cost-range sweep. Variant names are - `{ref, heap, bucket, bucket2, bsort}-{fresh, full, sparse, hybrid}`. -- `run_aba.sh`: one fresh process per variant, production reference first and - last, plus the sweep. `summarize.py` prints Markdown tables. -- `results/first/`: the first sequence (nine samples), sweep files, load readings, - source hashes and the parity outputs (plain, sanitized and the teeth check - built with `-DSPFX_BAD_ORDER`, which must fail). `results/short/`: the second - sequence for the hybrid and power-of-two variants. - -```sh -bash dev/perf/spf_queue/build.sh -build/perf/cpu-queue correctness -build/perf/cpu-queue time bucket-hybrid 9 -build/perf/cpu-queue sweep bucket-sparse 9 2097152 -bash dev/perf/spf_queue/run_aba.sh -python3 dev/perf/spf_queue/summarize.py -``` - -Timings are sequential and single-threaded; they are not comparable row for row -with the ten-worker batch timings in the research reports. - -## Production verification (after the change landed in `src/shortest_paths.cpp`) - -- `bitgate/dump.cpp`: exercises forward/reverse SPF, max-flow, batch max-flow, - sensitivity, `FlowPolicy` sequences and KSP through the public C++ API; built - once against the previous sources (`git archive` of the base commit) and once - against the working tree. `bitgate/sha256.txt` records the identical digests - of `old.txt` and `new.txt` (and of the new build forced onto the heap route). -- `run_core_aba.sh` + `results/core/` (+ `summarize_core.py`): old/new/old on - the harness workloads, where `ref` is the production function of the sources - each binary was built from (`cpu-queue-old` is built from a `git archive` of - the base commit); `b-new-heap` forces the heap route in the new binary as an - in-binary control. -- `results/priority/`: old/new/old for the `EdgeSelection::priority` addition - (default route against 0.11.0, plus the opt-in `capacity` and `headroom` - priorities timed in single-path `PreferHigherResidual` mode via - `SPFX_PRIORITY=capacity|headroom`). -- `results/dag/`: old/new/old for `shortest_paths_dag` (the DAG-only - destination search used by max-flow, FlowPolicy and KSP), timed via - `SPFX_DAG=1` on the destination rows: about 1.25x over 0.11.0 on - first-neighbour queries, unchanged elsewhere. -- `bench_netgraph.py` + `run_netgraph_aba.sh` + `results/netgraph/`: old/new/old - on NetGraph workloads run through NetGraph's own API and interpreter (full - SPF, bound-context max-flow with pseudo nodes, failure exclusions, demand - placement with WCMP and ECMP policies, failure Monte Carlo, KSP, and three of - the shipped scenarios end to end with `parallelism: 1`). Each workload - returns a checksum that must agree across builds; `summarize_netgraph.py` - tabulates medians and checks the checksums. The driver pins - `PYTHONHASHSEED=0`: NetGraph's Monte Carlo digests otherwise differ between - two processes of the same build (`results/netgraph/hashseed-determinism.txt`). -- `review-2026-10/`: brief, full report, patches, experiment sources and - raw results of the independent review (2 October 2026); what was adopted - from it is listed in the plan. Its full-source experimental copies, session - log and 10 MB bit-gate dumps were not kept (they are reproducible from the - patches against the base commit). `bash build.sh old` builds the - old-source harness binary from `git archive` of the base commit. -- Timing modes now include reverse-search rows (`dst` = `reverse`), which are - production-only (the harness variants implement the forward loop). diff --git a/dev/perf/spf_queue/bench_netgraph.py b/dev/perf/spf_queue/bench_netgraph.py deleted file mode 100644 index 3424d75..0000000 --- a/dev/perf/spf_queue/bench_netgraph.py +++ /dev/null @@ -1,393 +0,0 @@ -#!/usr/bin/env python3 -"""Realistic NetGraph workloads for the Core old/new A/B/A. - -Run with NetGraph's interpreter and PYTHONPATH pointing at the Core build under -test (see run_netgraph_aba.sh). Prints CSV rows: - workload,label,median_s,samples,checksum,samples_s -Every workload returns a checksum of its results that must be identical across -builds; the driver compares them. -""" - -from __future__ import annotations - -import hashlib -import json -import random -import statistics -import sys -import time -from pathlib import Path - -NETGRAPH = Path.home() / "ws" / "NetGraph" -sys.path.insert(0, str(NETGRAPH)) - -import numpy as np # noqa: E402 -from ngraph.analysis import FailureManager # noqa: E402 -from ngraph.analysis.context import AnalysisContext # noqa: E402 -from ngraph.analysis.functions import demand_placement_analysis # noqa: E402 -from ngraph.model.network import Link, Network, Node # noqa: E402 -from ngraph.scenario import Scenario # noqa: E402 -from ngraph.types.base import Mode # noqa: E402 - -import netgraph_core # noqa: E402 - - -def norm(obj): - """JSON-safe, order-stable view of nested results (tuple keys become strings).""" - if isinstance(obj, dict): - skip = { - "metadata", - "execution_time", - "duration", - "timestamp", - "started_at", - "finished_at", - "run_id", - "id", - } - return { - str(k): norm(v) - for k, v in sorted(obj.items(), key=lambda kv: str(kv[0])) - if str(k) not in skip - } - if isinstance(obj, (list, tuple, set, frozenset)): - items = [norm(v) for v in obj] - return sorted(items, key=str) if isinstance(obj, (set, frozenset)) else items - if isinstance(obj, float): - return repr(obj) - if isinstance(obj, (str, int, bool)) or obj is None: - return obj - if hasattr(obj, "to_dict"): - return norm(obj.to_dict()) - return str(obj) - - -def digest(obj) -> str: - return hashlib.sha256(json.dumps(norm(obj), sort_keys=True).encode()).hexdigest()[ - :16 - ] - - -def clos(leaves: int, spines: int, cap: float = 100.0) -> Network: - net = Network() - for i in range(leaves): - net.add_node(Node(f"leaf/leaf{i:03d}")) - for j in range(spines): - net.add_node(Node(f"spine/spine{j:03d}")) - for i in range(leaves): - for j in range(spines): - net.add_link( - Link(f"leaf/leaf{i:03d}", f"spine/spine{j:03d}", capacity=cap, cost=1.0) - ) - return net - - -def grid(rows: int, cols: int, seed: int = 3) -> Network: - rng = random.Random(seed) - net = Network() - for r in range(rows): - for c in range(cols): - net.add_node(Node(f"g/r{r:03d}c{c:03d}")) - for r in range(rows): - for c in range(cols): - if c + 1 < cols: - net.add_link( - Link( - f"g/r{r:03d}c{c:03d}", - f"g/r{r:03d}c{c + 1:03d}", - capacity=10.0, - cost=float(rng.randint(1, 20)), - ) - ) - if r + 1 < rows: - net.add_link( - Link( - f"g/r{r:03d}c{c:03d}", - f"g/r{r + 1:03d}c{c:03d}", - capacity=10.0, - cost=float(rng.randint(1, 20)), - ) - ) - return net - - -def clos3(pods: int, leaves: int, spines: int, supers: int) -> Network: - """Three-tier Clos: per pod a leaf/spine mesh, spines meshed to super-spines.""" - net = Network() - for k in range(supers): - net.add_node(Node(f"ss/ss{k:03d}")) - for p in range(pods): - for i in range(leaves): - net.add_node(Node(f"pod{p:02d}/leaf/leaf{i:03d}")) - for j in range(spines): - net.add_node(Node(f"pod{p:02d}/spine/spine{j:03d}")) - for i in range(leaves): - for j in range(spines): - net.add_link( - Link( - f"pod{p:02d}/leaf/leaf{i:03d}", - f"pod{p:02d}/spine/spine{j:03d}", - capacity=100.0, - cost=1.0, - ) - ) - for j in range(spines): - for k in range(supers): - net.add_link( - Link( - f"pod{p:02d}/spine/spine{j:03d}", - f"ss/ss{k:03d}", - capacity=400.0, - cost=1.0, - ) - ) - return net - - -def scenario_text(name: str, iterations: int) -> str: - path = NETGRAPH / "scenarios" / name - text = path.read_text() - text = text.replace("parallelism: auto", "parallelism: 1").replace( - "parallelism: 8", "parallelism: 1" - ) - text = text.replace("iterations: 1000", f"iterations: {iterations}") - return text - - -def results_digest(scenario: Scenario) -> str: - out = {} - for step in scenario.results.get_steps_by_execution_order(): - data = scenario.results.get_step(step) - out[step] = {k: v for k, v in data.items() if k not in ("metadata",)} - return digest(out) - - -def build_workloads() -> dict[str, tuple[callable, int]]: - """Return name -> (fn returning checksum, inner repetitions).""" - wl: dict[str, tuple[callable, int]] = {} - sel = netgraph_core.EdgeSelection( - multi_edge=True, - require_capacity=False, - tie_break=netgraph_core.EdgeTieBreak.DETERMINISTIC, - ) - - clos200 = clos(200, 200) - ctx_clos200 = AnalysisContext.from_network(clos200) - n_clos = ctx_clos200.multidigraph.num_nodes() - - def spf_clos(): - acc = [] - for s in range(n_clos): - dist, dag = ctx_clos200.algorithms.spf(ctx_clos200.handle, s, selection=sel) - acc.append((int(np.asarray(dist).sum()), int(len(dag.parents)))) - return digest(acc) - - wl["spf_full_clos_200x200"] = (spf_clos, 1) - - grid100 = grid(100, 100) - ctx_grid = AnalysisContext.from_network(grid100) - - def spf_grid(): - acc = [] - for s in range(0, 10000, 200): - dist, dag = ctx_grid.algorithms.spf(ctx_grid.handle, s, selection=sel) - d = np.asarray(dist) - acc.append((int(d[d < 2**62].sum()), int(len(dag.parents)))) - return digest(acc) - - wl["spf_full_grid_100x100_weighted"] = (spf_grid, 5) - - ctx_mf_clos = AnalysisContext.from_network( - clos200, - source="^leaf/leaf00[0-9]$", - sink="^leaf/leaf19[0-9]$", - mode=Mode.COMBINE, - ) - wl["maxflow_clos_200x200_combine"] = (lambda: digest(ctx_mf_clos.max_flow()), 50) - - clos100 = clos(100, 100) - ctx_fail = AnalysisContext.from_network( - clos100, - source="^leaf/leaf00[0-9]$", - sink="^leaf/leaf09[0-9]$", - mode=Mode.COMBINE, - ) - link_ids = sorted(clos100.links) - rng = random.Random(11) - exclusions = [set(rng.sample(link_ids, 12)) for _ in range(100)] - - def maxflow_failures(): - return digest([ctx_fail.max_flow(excluded_links=ex) for ex in exclusions]) - - wl["maxflow_failures_clos_100x100_x100"] = (maxflow_failures, 1) - - ctx_mf_grid = AnalysisContext.from_network( - grid100, source="^g/r00[0-9]c000$", sink="^g/r09[0-9]c099$", mode=Mode.COMBINE - ) - wl["maxflow_grid_100x100_weighted_combine"] = ( - lambda: digest(ctx_mf_grid.max_flow()), - 20, - ) - wl["maxflow_grid_100x100_weighted_pairwise"] = ( - lambda: digest( - AnalysisContext.from_network( - grid100, source="^g/r000c000$", sink="^g/r099c099$", mode=Mode.PAIRWISE - ).max_flow() - ), - 5, - ) - - backbone = Scenario.from_yaml(scenario_text("backbone_clos.yml", 1000)) - demands = [ - td.to_dict() for td in backbone.demand_set.get_set("baseline_traffic_matrix") - ] - wl["placement_backbone_clos"] = ( - lambda: digest( - demand_placement_analysis(backbone.network, set(), set(), demands) - ), - 50, - ) - - fm = FailureManager( - network=backbone.network, - failure_policy_set=backbone.failure_policy_set, - policy_name="weighted_modes", - ) - wl["placement_mc_backbone_clos_x300"] = ( - lambda: digest( - fm.run_demand_placement_monte_carlo( - demands_config=demands, iterations=300, parallelism=1, seed=42 - ) - ), - 1, - ) - wl["maxflow_mc_backbone_clos_x300"] = ( - lambda: digest( - fm.run_max_flow_monte_carlo( - source="^metro1/dc1/.*", - target="^metro2/dc1/.*", - mode="combine", - iterations=300, - parallelism=1, - seed=7, - ) - ), - 1, - ) - - fabric = clos3(pods=8, leaves=16, spines=8, supers=16) - ctx_fabric = AnalysisContext.from_network(fabric) - wl["ksp_clos3_pairwise_k8"] = ( - lambda: digest( - { - f"{k[0]}->{k[1]}": [str(p) for p in v] - for k, v in ctx_fabric.k_shortest_paths( - "^pod00/leaf/leaf00[0-3]$", - "^pod0[1-7]/leaf/leaf00[0-1]$", - mode=Mode.PAIRWISE, - max_k=8, - ).items() - } - ), - 1, - ) - wl["maxflow_clos3_pod_pairs_combine"] = ( - lambda: digest( - [ - AnalysisContext.from_network( - fabric, - source=f"^pod{a:02d}/leaf/.*", - sink=f"^pod{b:02d}/leaf/.*", - mode=Mode.COMBINE, - ).max_flow() - for a in range(8) - for b in range(8) - if a != b - ] - ), - 1, - ) - fabric_demands = [ - { - "source": f"^pod{a:02d}/leaf/.*", - "target": f"^pod{b:02d}/leaf/.*", - "mode": "pairwise", - "priority": 0, - "volume": 2000.0, - "flow_policy": policy, - } - for a in range(8) - for b in range(8) - if a != b - for policy in ("TE_WCMP_UNLIM",) - ] + [ - { - "source": f"^pod{a:02d}/leaf/.*", - "target": f"^pod{(a + 1) % 8:02d}/leaf/.*", - "mode": "pairwise", - "priority": 1, - "volume": 500.0, - "flow_policy": "SHORTEST_PATHS_ECMP", - } - for a in range(8) - ] - wl["placement_clos3_wcmp_and_ecmp"] = ( - lambda: digest(demand_placement_analysis(fabric, set(), set(), fabric_demands)), - 1, - ) - fabric_links = sorted(fabric.links) - rng2 = random.Random(5) - fabric_exclusions = [set(rng2.sample(fabric_links, 6)) for _ in range(20)] - wl["placement_clos3_failures_x20"] = ( - lambda: digest( - [ - demand_placement_analysis(fabric, set(), ex, fabric_demands) - for ex in fabric_exclusions - ] - ), - 1, - ) - - def run_scenario(name: str, iterations: int): - def fn(): - sc = Scenario.from_yaml(scenario_text(name, iterations)) - sc.run() - return results_digest(sc) - - return fn - - wl["scenario_square_mesh_iter100"] = (run_scenario("square_mesh.yaml", 100), 1) - wl["scenario_nsfnet_iter200"] = (run_scenario("nsfnet.yaml", 200), 1) - wl["scenario_backbone_clos_iter100"] = (run_scenario("backbone_clos.yml", 100), 1) - return wl - - -def main() -> int: - label = sys.argv[1] if len(sys.argv) > 1 else "run" - samples = int(sys.argv[2]) if len(sys.argv) > 2 else 5 - only = sys.argv[3].split(",") if len(sys.argv) > 3 else None - wl = build_workloads() - print("workload,label,median_s,samples,checksum,samples_s", flush=True) - for name, (fn, reps) in wl.items(): - if only and name not in only: - continue - checksum = fn() # warm-up and reference checksum - times = [] - for _ in range(samples): - t0 = time.perf_counter() - for _ in range(reps): - c = fn() - times.append(time.perf_counter() - t0) - if c != checksum: - raise SystemExit( - f"nondeterministic result in {name}: {c} != {checksum}" - ) - print( - f"{name},{label},{statistics.median(times):.6f},{samples},{checksum},{';'.join(f'{t:.6f}' for t in times)}", - flush=True, - ) - return 0 - - -if __name__ == "__main__": - raise SystemExit(main()) diff --git a/dev/perf/spf_queue/bitgate/dump.cpp b/dev/perf/spf_queue/bitgate/dump.cpp deleted file mode 100644 index 1ef7ba4..0000000 --- a/dev/perf/spf_queue/bitgate/dump.cpp +++ /dev/null @@ -1,157 +0,0 @@ -// Old-versus-new output bit-gate. Built once against the previous sources and -// once against the working tree; the SHA-256 of stdout must match. Exercises -// forward/reverse SPF, max-flow, batch max-flow, sensitivity, FlowPolicy -// placement sequences and KSP through the public C++ API only. -#include "netgraph/core/algorithms.hpp" -#include "netgraph/core/backend.hpp" -#include "netgraph/core/constants.hpp" -#include "netgraph/core/flow_graph.hpp" -#include "netgraph/core/flow_policy.hpp" -#include "netgraph/core/k_shortest_paths.hpp" -#include "netgraph/core/max_flow.hpp" -#include "netgraph/core/options.hpp" -#include "netgraph/core/shortest_paths.hpp" -#include "netgraph/core/strict_multidigraph.hpp" - -#include -#include -#include -#include - -using namespace netgraph::core; - -struct Case { - StrictMultiDiGraph g; - std::unique_ptr nm, em; - std::vector residual; - NodeId src = 0, dst = 1; - std::span nmask() const { return {nm.get(), size_t(g.num_nodes())}; } - std::span emask() const { return {em.get(), size_t(g.num_edges())}; } -}; - -static Case make(unsigned seed, int n, int degree, Cost max_cost, int zero_pct, bool duplex, bool pseudo) { - std::mt19937 rng(seed); - std::vector s, d; std::vector cap; std::vector cost; - auto add = [&](int u, int v, Cost c, double k) { s.push_back(u); d.push_back(v); cost.push_back(c); cap.push_back(k); }; - for (int u = 0; u < n; ++u) for (int k = 0; k < degree; ++k) { - int v = k == 0 ? (u + 1) % n : int(rng() % n); - Cost c = (int(rng() % 100) < zero_pct) ? 0 : 1 + Cost(rng() % unsigned(max_cost)); - double w = 1.0 + double(rng() % 100) / 7.0; - add(u, v, c, w); if (duplex) add(v, u, c, w); - } - Case c; - NodeId src = 0, dst = n / 2; - int total = n; - if (pseudo) { - int k = std::max(1, n / 8); - for (int u = 0; u < k; ++u) add(n, u, 0, 1e9); - for (int u = n - k; u < n; ++u) add(u, n + 1, 0, 1e9); - src = n; dst = n + 1; total = n + 2; - } - c.g = StrictMultiDiGraph::from_arrays(total, s, d, cap, cost); - c.src = src; c.dst = dst; - int N = c.g.num_nodes(), E = c.g.num_edges(); - c.nm = std::make_unique(N); c.em = std::make_unique(E); - for (int i = 0; i < N; ++i) c.nm[i] = rng() % 29 != 0 || i == src || i == dst; - for (int i = 0; i < E; ++i) c.em[i] = rng() % 13 != 0; - c.residual.assign(c.g.capacity_view().begin(), c.g.capacity_view().end()); - for (int i = 0; i < E; ++i) if (rng() % 11 == 0) c.residual[i] = (rng() % 2) ? 0.0 : kMinCap / 2; - return c; -} - -static void dump_res(const std::pair, PredDAG>& r) { - for (auto v : r.first) std::printf("%lld,", (long long)v); - std::printf("|"); - for (auto v : r.second.parent_offsets) std::printf("%d,", v); - std::printf("|"); - for (auto v : r.second.parents) std::printf("%d,", v); - std::printf("|"); - for (auto v : r.second.via_edges) std::printf("%d,", v); - std::printf("\n"); -} - -static void dump_summary(double total, const FlowSummary& sm) { - std::printf("flow %.17g cut:", total); - for (auto e : sm.min_cut.edges) std::printf("%d,", e); - std::printf(" costs:"); - for (size_t i = 0; i < sm.costs.size(); ++i) std::printf("%lld=%.17g,", (long long)sm.costs[i], sm.flows[i]); - std::printf(" ef:"); - for (auto f : sm.edge_flows) std::printf("%.17g,", f); - std::printf("\n"); -} - -int main() { - auto be = make_cpu_backend(); - auto algs = std::make_shared(be); - std::vector cases; - cases.push_back(make(1, 60, 4, 31, 0, true, false)); - cases.push_back(make(2, 80, 3, 31, 20, true, true)); - cases.push_back(make(3, 120, 5, 1, 0, true, true)); - cases.push_back(make(4, 90, 4, 20, 10, false, false)); - cases.push_back(make(5, 200, 3, 1000, 5, true, true)); - cases.push_back(make(6, 40, 6, 4, 30, true, false)); - for (auto& c : cases) { - const int n = c.g.num_nodes(); - std::printf("# case n=%d e=%d\n", n, c.g.num_edges()); - // Forward and reverse SPF over the option matrix. - for (NodeId s : {c.src, NodeId(3), NodeId(n - 1)}) for (int mp = 0; mp < 2; ++mp) for (int me = 0; me < 2; ++me) - for (int tb = 0; tb < 2; ++tb) for (int rc = 0; rc < 2; ++rc) for (int ur = 0; ur < 2; ++ur) for (int um = 0; um < 2; ++um) { - EdgeSelection sel; sel.multi_edge = me; sel.require_capacity = rc; - sel.tie_break = tb ? EdgeTieBreak::PreferHigherResidual : EdgeTieBreak::Deterministic; - auto res = ur ? std::span(c.residual) : std::span{}; - auto nm = um ? c.nmask() : std::span{}; - auto em = um ? c.emask() : std::span{}; - for (std::optional dst : {std::optional{}, std::optional{c.dst}, std::optional{NodeId((s + 1) % n)}}) - dump_res(shortest_paths(c.g, s, dst, mp, sel, res, nm, em)); - const auto row = c.g.row_offsets_view(); const auto aei = c.g.adj_edge_index_view(); - std::vector fan(aei.begin() + row[c.src], aei.begin() + row[c.src + 1]); - dump_res(shortest_paths_to(c.g, s, mp, sel, res, nm, em, {})); - if (c.src >= n - 2) dump_res(shortest_paths_to(c.g, c.dst, mp, sel, res, nm, em, fan)); // pseudo source fan-out - } - // Max-flow matrix. - for (int pl = 1; pl <= 3; ++pl) for (int sp = 0; sp < 2; ++sp) for (int rc = 0; rc < 2; ++rc) for (int um = 0; um < 2; ++um) { - auto nm = um ? c.nmask() : std::span{}; - auto em = um ? c.emask() : std::span{}; - auto [total, sm] = calc_max_flow(c.g, c.src, c.dst, static_cast(pl), sp, rc, true, true, true, nm, em); - dump_summary(total, sm); - } - auto gh = algs->build_graph(c.g); - MaxFlowOptions mo; mo.with_edge_flows = true; - std::vector> pairs; - for (int i = 0; i < 12; ++i) pairs.emplace_back(NodeId((i * 7) % n), NodeId((i * 11 + 5) % n)); - for (auto& sm : algs->batch_max_flow(gh, pairs, mo)) dump_summary(sm.total_flow, sm); - for (auto& [e, f] : algs->sensitivity_analysis(gh, c.src, c.dst, mo)) std::printf("sens %d %.17g\n", e, f); - // FlowPolicy sequences. - for (int pl = 1; pl <= 3; ++pl) for (int mp = 0; mp < 2; ++mp) for (int rc = 0; rc < 2; ++rc) { - FlowGraph fg(c.g); - ExecutionContext ctx(algs, gh); - FlowPolicyConfig cfg; - cfg.flow_placement = static_cast(pl); - cfg.multipath = mp; cfg.require_capacity = rc; - cfg.min_flow_count = mp ? 1 : 4; cfg.max_flow_count = mp ? std::optional{} : std::optional{4}; - cfg.node_mask = c.nmask(); cfg.edge_mask = c.emask(); - FlowPolicy pol(ctx, cfg); - auto r1 = pol.place_demand(fg, c.src, c.dst, 0, 25.0); - auto r2 = pol.place_demand(fg, c.src, c.dst, 0, 40.0); - auto r3 = pol.rebalance_demand(fg, c.src, c.dst, 0, 5.0); - std::printf("policy %d %d %d: %.17g %.17g %.17g %.17g %.17g %.17g placed=%.17g flows=%zu\n", pl, mp, rc, - r1.first, r1.second, r2.first, r2.second, r3.first, r3.second, pol.placed_demand(), pol.flows().size()); - std::vector>> recs; - for (auto& kv : pol.flows()) recs.push_back({kv.first.flowId, {(long long)kv.second.cost, kv.second.placed_flow}}); - std::sort(recs.begin(), recs.end()); - for (auto& r : recs) std::printf(" flow %lld cost %lld placed %.17g\n", r.first, r.second.first, r.second.second); - for (auto f : fg.edge_flow_view()) std::printf("%.17g,", f); - std::printf("\n"); - pol.remove_demand(fg); - double left = 0; for (auto f : fg.edge_flow_view()) left += f; - std::printf("after remove %.17g\n", left); - } - // KSP. - for (int k : {1, 3, 6}) for (int uq = 0; uq < 2; ++uq) { - auto paths = k_shortest_paths(c.g, c.src, c.dst, k, std::optional{1.5}, uq, c.nmask(), c.emask()); - std::printf("ksp k=%d unique=%d n=%zu\n", k, uq, paths.size()); - for (auto& p : paths) dump_res(p); - } - } - return 0; -} diff --git a/dev/perf/spf_queue/bitgate/sha256.txt b/dev/perf/spf_queue/bitgate/sha256.txt deleted file mode 100644 index 7ae872f..0000000 --- a/dev/perf/spf_queue/bitgate/sha256.txt +++ /dev/null @@ -1,3 +0,0 @@ -a976f254eced152b14991ba2198351ec7983506f3f1e177c289852ec2bcaab90 dev/perf/spf_queue/bitgate/old.txt -a976f254eced152b14991ba2198351ec7983506f3f1e177c289852ec2bcaab90 dev/perf/spf_queue/bitgate/new.txt -a976f254eced152b14991ba2198351ec7983506f3f1e177c289852ec2bcaab90 dev/perf/spf_queue/bitgate/new-heap.txt diff --git a/dev/perf/spf_queue/bitgate/status.txt b/dev/perf/spf_queue/bitgate/status.txt deleted file mode 100644 index 9228bca..0000000 --- a/dev/perf/spf_queue/bitgate/status.txt +++ /dev/null @@ -1 +0,0 @@ -BITGATE IDENTICAL diff --git a/dev/perf/spf_queue/build.sh b/dev/perf/spf_queue/build.sh deleted file mode 100755 index 4c06ad5..0000000 --- a/dev/perf/spf_queue/build.sh +++ /dev/null @@ -1,31 +0,0 @@ -#!/usr/bin/env bash -# Plain C++ build of the parity/timing harness (no Objective-C++/Metal; any -# clang/gcc with C++20). -# bash build.sh -> build/perf/cpu-queue (working tree sources) -# bash build.sh sanitize -> build/perf/cpu-queue-sanitize (ASan/UBSan) -# bash build.sh old [REV] -> build/perf/cpu-queue-old (sources of REV, default fbab119, -# extracted with git archive into build/perf/old-src) -set -euo pipefail -cd "$(dirname "$0")/../../.." -mode=${1:-release} -flags=(-std=c++20 -O3 -funroll-loops -fno-math-errno -fno-trapping-math -Wall -Wextra) -src=. -out=build/perf/cpu-queue -case "$mode" in - release) ;; - sanitize) - flags=(-std=c++20 -O1 -g -fsanitize=address,undefined -fno-sanitize-recover=undefined -fno-omit-frame-pointer) - out=build/perf/cpu-queue-sanitize ;; - old) - rev=${2:-fbab119} - src=build/perf/old-src - rm -rf "$src" && mkdir -p "$src" - git archive "$rev" src include | tar -x -C "$src" - out=build/perf/cpu-queue-old ;; - *) echo "usage: build.sh [release|sanitize|old [REV]]" >&2; exit 2 ;; -esac -mkdir -p build/perf -${CXX:-clang++} "${flags[@]}" -I"$src/include" \ - dev/perf/spf_queue/harness.cpp \ - "$src/src/strict_multidigraph.cpp" "$src/src/shortest_paths.cpp" "$src/src/profiling.cpp" -o "$out" -echo "built $out" diff --git a/dev/perf/spf_queue/harness.cpp b/dev/perf/spf_queue/harness.cpp deleted file mode 100644 index 7aa04c5..0000000 --- a/dev/perf/spf_queue/harness.cpp +++ /dev/null @@ -1,388 +0,0 @@ -// Portable CPU harness: bit-exact parity of queue/workspace variants against the -// production shortest_paths, plus sequential single-thread timing. -// -// harness correctness -> parity matrix, exit 1 on mismatch -// harness time [samples] [maxW] -> CSV timing rows on stdout -// harness sweep [samples] [maxW] -> cost-range sweep rows -// -// variant = ref | heap-fresh | heap-full | heap-sparse | bucket-fresh | -// bucket-full | bucket-sparse | bsort-sparse | bsort-fresh -#include "spf_variants.hpp" - -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include - -using namespace netgraph::core; -using spfx::INF; -using Result = std::pair, PredDAG>; -using Clock = std::chrono::steady_clock; - -static double ms(Clock::time_point start) { - return std::chrono::duration(Clock::now() - start).count(); -} - -struct Case { - std::string name; - StrictMultiDiGraph graph; - std::unique_ptr node_mask, edge_mask; - std::vector residual; - NodeId fixed_src = -1, fixed_dst = -1; - std::span nm() const { return {node_mask.get(), size_t(graph.num_nodes())}; } - std::span em() const { return {edge_mask.get(), size_t(graph.num_edges())}; } -}; - -// Verbatim port of the research generator (same RNG draws), plus new kinds: -// uniform : random topology, every cost == 31 -// wideK : random topology, costs 1..K (K via max_cost argument) -// pseudo : 2-tier fabric with a zero-cost pseudo source/sink attachment, as -// NetGraph's max-flow builds; fixed src/dst = the pseudo nodes -// zerocyc : random graph with a share of zero-cost edges (zero-cost cycles) -static Case make_case(std::string kind, int n, int degree = 8, bool masked = false, - bool large = false, unsigned seed = 1729, Cost max_cost = 31) { - std::vector src, dst; - std::vector costs; - std::vector caps; - std::mt19937 rng(seed); - auto add = [&](int u, int v, Cost c) { - src.push_back(u); dst.push_back(v); - costs.push_back(c + (large ? (Cost(1) << 34) : 0)); - caps.push_back(1.0 + double(rng() % 100) / 7.0); - }; - NodeId fsrc = -1, fdst = -1; - if (kind == "chain") { - for (int i = 0; i < n - 1; ++i) add(i, i + 1, 1 + rng() % 31); - } else if (kind == "grid") { - int side = int(std::sqrt(n)); - if (side * side != n) throw std::runtime_error("grid must be square"); - for (int u = 0; u < n; ++u) { - if (u % side + 1 < side) { add(u, u + 1, 1); add(u + 1, u, 1); } - if (u + side < n) { add(u, u + side, 1); add(u + side, u, 1); } - } - } else if (kind == "fabric" || kind == "clos") { - int spines = kind == "clos" ? n / 2 : 32; - for (int u = 0; u < n - spines; ++u) for (int v = n - spines; v < n; ++v) { - add(u, v, 1); add(v, u, 1); - } - } else if (kind == "uniform") { - for (int u = 0; u < n; ++u) { - add(u, (u + 1) % n, 31); - for (int k = 1; k < degree; ++k) add(u, rng() % n, 31); - } - } else if (kind == "wide") { - for (int u = 0; u < n; ++u) { - add(u, (u + 1) % n, 1 + Cost(rng() % max_cost)); - for (int k = 1; k < degree; ++k) add(u, rng() % n, 1 + Cost(rng() % max_cost)); - } - } else if (kind == "zerocyc") { - for (int u = 0; u < n; ++u) { - add(u, (u + 1) % n, rng() % 4 == 0 ? 0 : 1 + rng() % 31); - for (int k = 1; k < degree; ++k) add(u, rng() % n, rng() % 4 == 0 ? 0 : 1 + rng() % 31); - } - } else if (kind == "pseudo") { - // n real nodes: leaves [0, n/2), spines [n/2, n); then pseudo src n, pseudo dst n+1. - int leaves = n / 2; - for (int u = 0; u < leaves; ++u) for (int v = leaves; v < n; ++v) { add(u, v, 1); add(v, u, 1); } - int k = std::max(1, leaves / 4); - for (int u = 0; u < k; ++u) add(n, u, 0); - for (int u = leaves - k; u < leaves; ++u) add(u, n + 1, 0); - fsrc = n; fdst = n + 1; n += 2; - } else { - for (int u = 0; u < n; ++u) { - add(u, (u + 1) % n, 1 + rng() % 31); - for (int k = 1; k < degree; ++k) add(u, rng() % n, 1 + rng() % 31); - } - } - Case c{kind + (masked ? "_masked" : "") + (large ? "_int64" : ""), - StrictMultiDiGraph::from_arrays(n, src, dst, caps, costs)}; - c.fixed_src = fsrc; c.fixed_dst = fdst; - int e = c.graph.num_edges(); - c.node_mask = std::make_unique(n); - c.edge_mask = std::make_unique(e); - c.residual.assign(c.graph.capacity_view().begin(), c.graph.capacity_view().end()); - for (int i = 0; i < n; ++i) c.node_mask[i] = !masked || rng() % 23 != 0; - for (int i = 0; i < e; ++i) { - c.edge_mask[i] = !masked || rng() % 11 != 0; - if (masked && rng() % 13 == 0) c.residual[i] = 0; - } - if (fsrc >= 0) { c.node_mask[fsrc] = true; c.node_mask[fdst] = true; } - return c; -} - -struct Query { - NodeId src; std::optional dst; bool multipath; EdgeSelection sel; - bool use_residual; bool use_masks; bool reverse = false; -}; - -// SPFX_DAG=1 times shortest_paths_dag for destination queries; its result is -// folded into the Result shape with the target cost as the only distance. -static const bool kDagMode = std::getenv("SPFX_DAG") != nullptr; - -static Result run_ref(const Case& c, const Query& q) { - auto res = q.use_residual ? std::span(c.residual) : std::span{}; - auto nm = q.use_masks ? c.nm() : std::span{}; - auto em = q.use_masks ? c.em() : std::span{}; - if (q.reverse) return shortest_paths_to(c.graph, q.src, q.multipath, q.sel, res, nm, em, {}); - if (kDagMode && q.dst) { - auto [cost, dag] = shortest_paths_dag(c.graph, q.src, *q.dst, q.multipath, q.sel, res, nm, em); - return Result{std::vector{cost}, std::move(dag)}; - } - return shortest_paths(c.graph, q.src, q.dst, q.multipath, q.sel, res, nm, em); -} - -struct Runner { - std::string variant; - spfx::HeapQueue heap; spfx::BucketHeapQueue bucket; spfx::BucketPow2Queue bucket2; spfx::BucketSortQueue bsort; - spfx::Workspace ws; - spfx::CostProfile prof; - std::size_t max_width = 1u << 20; - bool fallback = false; - void prepare(const Case& c) { - prof = spfx::profile_costs(c.graph); - fallback = static_cast(prof.max_cost / prof.stride) + 1 > max_width; - ws = spfx::Workspace{}; - if (variant.find("fresh") != std::string::npos) ws.mode = spfx::WsMode::Fresh; - else if (variant.find("full") != std::string::npos) ws.mode = spfx::WsMode::ReuseFull; - else if (variant.find("hybrid") != std::string::npos) ws.mode = spfx::WsMode::ReuseHybrid; - else ws.mode = spfx::WsMode::ReuseSparse; - } - Result run(const Case& c, const Query& q) { - if (variant == "ref" || q.reverse) return run_ref(c, q); // reverse: production only - spfx::Workspace fresh; fresh.mode = spfx::WsMode::Fresh; - spfx::Workspace& w = (ws.mode == spfx::WsMode::Fresh) ? fresh : ws; - auto res = q.use_residual ? std::span(c.residual) : std::span{}; - auto nm = q.use_masks ? c.nm() : std::span{}; - auto em = q.use_masks ? c.em() : std::span{}; - const bool use_heap = fallback || variant.rfind("heap", 0) == 0; - if (use_heap) return spfx::spf_variant(c.graph, q.src, q.dst, q.multipath, q.sel, res, nm, em, heap, w, prof.max_cost, prof.stride); - if (variant.rfind("bsort", 0) == 0) return spfx::spf_variant(c.graph, q.src, q.dst, q.multipath, q.sel, res, nm, em, bsort, w, prof.max_cost, prof.stride); - if (variant.rfind("bucket2", 0) == 0) return spfx::spf_variant(c.graph, q.src, q.dst, q.multipath, q.sel, res, nm, em, bucket2, w, prof.max_cost, prof.stride); - return spfx::spf_variant(c.graph, q.src, q.dst, q.multipath, q.sel, res, nm, em, bucket, w, prof.max_cost, prof.stride); - } -}; - -static bool same(const Result& a, const Result& b) { - return a.first == b.first && a.second.parent_offsets == b.second.parent_offsets && - a.second.parents == b.second.parents && a.second.via_edges == b.second.via_edges; -} -// In DAG mode the expected result is the full search; compare its target cost and DAG. -static bool same_for_query(const Query& q, const Result& expected, const Result& actual) { - if (kDagMode && q.dst && !q.reverse) { - return actual.first.size() == 1 && actual.first[0] == expected.first[static_cast(*q.dst)] && - expected.second.parent_offsets == actual.second.parent_offsets && - expected.second.parents == actual.second.parents && expected.second.via_edges == actual.second.via_edges; - } - return same(expected, actual); -} - -static NodeId far_node(const std::vector& d) { - NodeId best = -1; Cost bd = -1; - for (std::size_t v = 0; v < d.size(); ++v) if (d[v] != INF && d[v] > bd) { bd = d[v]; best = NodeId(v); } - return best; -} - -static int correctness() { - const char* variants[] = {"heap-fresh", "heap-full", "heap-sparse", "heap-hybrid", "bucket-fresh", - "bucket-full", "bucket-sparse", "bucket-hybrid", "bucket2-fresh", "bucket2-sparse", - "bucket2-hybrid", "bsort-fresh", "bsort-sparse"}; - std::vector cases; - for (unsigned seed = 1; seed <= 12; ++seed) cases.push_back(make_case("random", 37 + seed * 3, 6, true, false, seed)); - for (unsigned seed = 1; seed <= 6; ++seed) cases.push_back(make_case("zerocyc", 40 + seed * 5, 5, seed % 2, false, seed)); - cases.push_back(make_case("random", 1024)); - cases.push_back(make_case("random", 512, 8, true, true, 7)); - cases.push_back(make_case("grid", 1024)); - cases.push_back(make_case("uniform", 500)); - cases.push_back(make_case("wide", 600, 8, true, false, 3, 100000)); - cases.push_back(make_case("pseudo", 64)); - cases.push_back(make_case("pseudo", 200, 8, true, false, 5)); - cases.push_back(make_case("chain", 300)); - cases.push_back(make_case("fabric", 100)); - // Dense parallel edges and self-loops: a tiny multigraph. - { - std::vector s, d; std::vector c; std::vector k; std::mt19937 r(99); - for (int i = 0; i < 400; ++i) { s.push_back(r() % 12); d.push_back(r() % 12); c.push_back(r() % 3); k.push_back(double(r() % 5)); } - Case mc{"multi", StrictMultiDiGraph::from_arrays(12, s, d, k, c)}; - mc.node_mask = std::make_unique(12); mc.edge_mask = std::make_unique(400); - mc.residual.assign(mc.graph.capacity_view().begin(), mc.graph.capacity_view().end()); - for (int i = 0; i < 12; ++i) mc.node_mask[i] = r() % 9 != 0; - for (int i = 0; i < 400; ++i) { mc.edge_mask[i] = r() % 7 != 0; if (r() % 5 == 0) mc.residual[i] = kMinCap * (r() % 3); } - cases.push_back(std::move(mc)); - } - std::size_t checked = 0, failed = 0; - for (auto& c : cases) { - const int n = c.graph.num_nodes(); - std::vector sources; - if (c.fixed_src >= 0) sources = {c.fixed_src, 0, 3}; - else for (int i = 0; i < 6; ++i) sources.push_back((i * 997 + 1) % n); - for (const char* vname : variants) { - Runner r; r.variant = vname; r.prepare(c); - for (NodeId s : sources) { - for (int mp = 0; mp < 2; ++mp) for (int me = 0; me < 2; ++me) for (int tb = 0; tb < 2; ++tb) - for (int rc = 0; rc < 2; ++rc) for (int ur = 0; ur < 2; ++ur) for (int um = 0; um < 2; ++um) { - Query q; q.src = s; q.multipath = mp; q.sel.multi_edge = me; - q.sel.tie_break = tb ? EdgeTieBreak::PreferHigherResidual : EdgeTieBreak::Deterministic; - q.sel.require_capacity = rc; q.use_residual = ur; q.use_masks = um; - std::vector> dsts = {std::nullopt}; - auto full = run_ref(c, q); - if (c.fixed_dst >= 0) dsts.push_back(c.fixed_dst); - auto row = c.graph.row_offsets_view(); auto col = c.graph.col_indices_view(); - if (row[s + 1] > row[s]) dsts.push_back(col[row[s]]); - NodeId far = far_node(full.first); if (far >= 0) dsts.push_back(far); - dsts.push_back(s); dsts.push_back((s + n / 2) % n); - for (auto& d : dsts) { - q.dst = d; - auto expected = run_ref(c, q); - for (int rep = 0; rep < 2; ++rep) { // second run exercises reuse/reset paths - auto actual = r.run(c, q); - ++checked; - if (!same(expected, actual)) { - ++failed; - if (failed <= 20) - std::cerr << "MISMATCH case=" << c.name << " n=" << n << " variant=" << vname - << " src=" << s << " dst=" << (d ? std::to_string(*d) : "none") - << " mp=" << mp << " me=" << me << " tb=" << tb << " rc=" << rc - << " ur=" << ur << " um=" << um << " rep=" << rep << '\n'; - } - } - } - } - } - } - } - std::cout << "checked=" << checked << " failed=" << failed << '\n'; - return failed ? 1 : 0; -} - -struct Workload { std::string label; Case c; int queries; std::string dst_mode; }; - -static void time_workloads(std::vector& wls, const std::string& variant, int samples, std::size_t maxw) { - std::cout << "case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms\n"; - for (auto& w : wls) { - auto& c = w.c; const int n = c.graph.num_nodes(); - std::vector qs; - for (int i = 0; i < w.queries; ++i) { - Query q; q.multipath = true; q.sel = EdgeSelection{}; q.use_residual = true; q.use_masks = true; - if (const char* pr = std::getenv("SPFX_PRIORITY")) { // time a non-default EdgePriority - const std::string p(pr); - if (p == "capacity") q.sel.priority = EdgePriority::Capacity; - else if (p == "headroom") q.sel.priority = EdgePriority::Headroom; - q.multipath = false; q.sel.tie_break = EdgeTieBreak::PreferHigherResidual; // where the value is used most - } - q.src = c.fixed_src >= 0 ? c.fixed_src : (i * 997) % n; - if (w.dst_mode == "reverse") q.reverse = true; - else if (w.dst_mode == "fixed") q.dst = c.fixed_dst; - else if (w.dst_mode == "near") { - auto row = c.graph.row_offsets_view(); auto col = c.graph.col_indices_view(); - q.dst = col[row[q.src]]; - } else if (w.dst_mode == "far") { - Query f = q; f.dst = std::nullopt; q.dst = far_node(run_ref(c, f).first); - } - qs.push_back(q); - } - std::vector expected; - for (auto& q : qs) { // reference: the full forward search for DAG-mode destination queries - if (kDagMode && q.dst && !q.reverse) { - expected.push_back(shortest_paths(c.graph, q.src, q.dst, q.multipath, q.sel, - q.use_residual ? std::span(c.residual) : std::span{}, - q.use_masks ? c.nm() : std::span{}, q.use_masks ? c.em() : std::span{})); - } else { - expected.push_back(run_ref(c, q)); - } - } - Runner r; r.variant = variant; r.max_width = maxw; r.prepare(c); - std::vector times; - for (int rep = -2; rep < samples; ++rep) { - std::vector actual(qs.size()); - auto start = Clock::now(); - for (std::size_t i = 0; i < qs.size(); ++i) actual[i] = r.run(c, qs[i]); - double el = ms(start); - for (std::size_t i = 0; i < qs.size(); ++i) if (!same_for_query(qs[i], expected[i], actual[i])) - throw std::runtime_error("timed result mismatch in " + w.label + " query " + std::to_string(i) + " dst=" + (qs[i].dst ? std::to_string(*qs[i].dst) : "none") + " dist sizes " + std::to_string(expected[i].first.size()) + "/" + std::to_string(actual[i].first.size())); - if (rep >= 0) times.push_back(el); - } - std::vector sorted = times; std::sort(sorted.begin(), sorted.end()); - std::cout << w.label << ',' << n << ',' << c.graph.num_edges() << ',' << w.queries << ',' << w.dst_mode << ',' - << variant << ',' << (r.fallback ? 1 : 0) << ',' << (r.prof.max_cost / r.prof.stride + 1) << ',' - << std::fixed << sorted[sorted.size() / 2] << ',' << samples << ','; - for (std::size_t j = 0; j < times.size(); ++j) std::cout << (j ? ";" : "") << times[j]; - std::cout << '\n' << std::flush; - } -} - -int main(int argc, char** argv) { - try { - std::string mode = argc > 1 ? argv[1] : "correctness"; - if (mode == "correctness") return correctness(); - std::string variant = argc > 2 ? argv[2] : "ref"; - int samples = argc > 3 ? std::stoi(argv[3]) : 7; - std::size_t maxw = argc > 4 ? std::stoull(argv[4]) : (1u << 20); - std::vector wls; - if (mode == "time") { - wls.push_back({"random", make_case("random", 1024), 1, "none"}); - wls.push_back({"random", make_case("random", 4096), 256, "none"}); - wls.push_back({"random", make_case("random", 16384), 64, "none"}); - wls.push_back({"random", make_case("random", 65536), 1, "none"}); - wls.push_back({"random", make_case("random", 4096, 32), 64, "none"}); - wls.push_back({"clos", make_case("clos", 800), 64, "none"}); - wls.push_back({"grid", make_case("grid", 10000), 1, "none"}); - wls.push_back({"chain", make_case("chain", 2048), 1, "none"}); - wls.push_back({"uniform", make_case("uniform", 16384), 64, "none"}); - wls.push_back({"random_masked", make_case("random", 16384, 8, true), 64, "none"}); - wls.push_back({"pseudo", make_case("pseudo", 800), 64, "fixed"}); - wls.push_back({"random", make_case("random", 1024), 64, "far"}); - wls.push_back({"random", make_case("random", 16384), 64, "far"}); - wls.push_back({"random", make_case("random", 65536), 16, "far"}); - wls.push_back({"random", make_case("random", 1024), 64, "near"}); - wls.push_back({"random", make_case("random", 16384), 64, "near"}); - wls.push_back({"random", make_case("random", 65536), 64, "near"}); - wls.push_back({"random", make_case("random", 262144), 16, "near"}); - wls.push_back({"random", make_case("random", 262144), 1, "none"}); - wls.push_back({"random", make_case("random", 4096), 64, "reverse"}); - wls.push_back({"random", make_case("random", 16384), 16, "reverse"}); - wls.push_back({"clos", make_case("clos", 800), 16, "reverse"}); - wls.push_back({"chain", make_case("chain", 2048), 1, "reverse"}); - } else if (mode == "short") { - wls.push_back({"random", make_case("random", 16384), 64, "none"}); - wls.push_back({"random", make_case("random", 65536), 1, "none"}); - wls.push_back({"clos", make_case("clos", 800), 64, "none"}); - wls.push_back({"chain", make_case("chain", 2048), 1, "none"}); - wls.push_back({"random", make_case("random", 16384), 64, "near"}); - wls.push_back({"random", make_case("random", 65536), 64, "near"}); - wls.push_back({"random", make_case("random", 262144), 16, "near"}); - wls.push_back({"random", make_case("random", 262144), 1, "none"}); - wls.push_back({"random", make_case("random", 4096), 64, "reverse"}); - wls.push_back({"clos", make_case("clos", 800), 16, "reverse"}); - } else if (mode == "faults") { - auto c = make_case("random", 262144); - Runner r; r.variant = variant; r.prepare(c); - std::vector qs; - for (int i = 0; i < 16; ++i) { - Query q; q.multipath = true; q.sel = EdgeSelection{}; q.use_residual = true; q.use_masks = true; - q.src = (i * 997) % c.graph.num_nodes(); - auto row = c.graph.row_offsets_view(); auto col = c.graph.col_indices_view(); - q.dst = col[row[q.src]]; qs.push_back(q); - } - std::cout << "variant,sample,ms,minor_faults\n"; - for (int rep = 0; rep < samples; ++rep) { - struct rusage a{}, b{}; getrusage(RUSAGE_SELF, &a); - auto start = Clock::now(); - for (auto& q : qs) { auto res = r.run(c, q); (void)res; } - double el = ms(start); getrusage(RUSAGE_SELF, &b); - std::cout << variant << ',' << rep << ',' << el << ',' << (b.ru_minflt - a.ru_minflt) << '\n'; - } - return 0; - } else if (mode == "sweep") { - for (Cost k : {Cost(1), Cost(31), Cost(1023), Cost(32767), Cost(1048575), Cost(33554431)}) - wls.push_back({"wide" + std::to_string(k), make_case("wide", 16384, 8, false, false, 11, k), 16, "none"}); - } else { std::cerr << "unknown mode\n"; return 2; } - time_workloads(wls, variant, samples, maxw); - return 0; - } catch (const std::exception& e) { std::cerr << "FAIL: " << e.what() << '\n'; return 1; } -} diff --git a/dev/perf/spf_queue/results/core/environment.txt b/dev/perf/spf_queue/results/core/environment.txt deleted file mode 100644 index 7e3715f..0000000 --- a/dev/perf/spf_queue/results/core/environment.txt +++ /dev/null @@ -1,5 +0,0 @@ -date: 2026-10-02T01:55:02Z -commit: fbab119e794c843838f4f3f96d75cb7f32f06845 -398e99a789a55595c2862a1574d5dbb7b79105debd23893e513145331c8ebf20 build/perf/cpu-queue-old -0caa759264760987d39f2e34774fb972e6d906aa30c0ba50b338b630bc2ecb82 build/perf/cpu-queue -32b56468bdbf2aa01cd24f4d49bc32572a4fb3df2cdfbee222919365ddb345ac src/shortest_paths.cpp diff --git a/dev/perf/spf_queue/results/core/load.txt b/dev/perf/spf_queue/results/core/load.txt deleted file mode 100644 index 355b2d8..0000000 --- a/dev/perf/spf_queue/results/core/load.txt +++ /dev/null @@ -1,5 +0,0 @@ - 2:55 up 52 days, 7:30, 3 users, load averages: 4.90 3.90 3.58 - 2:55 up 52 days, 7:31, 3 users, load averages: 5.87 4.25 3.72 - 2:55 up 52 days, 7:31, 3 users, load averages: 5.55 4.28 3.74 - 2:56 up 52 days, 7:32, 3 users, load averages: 4.78 4.23 3.74 - 2:56 up 52 days, 7:32, 3 users, load averages: 3.81 4.06 3.70 diff --git a/dev/perf/spf_queue/results/core/sweep-a1-old.csv b/dev/perf/spf_queue/results/core/sweep-a1-old.csv deleted file mode 100644 index f9e3244..0000000 --- a/dev/perf/spf_queue/results/core/sweep-a1-old.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -wide1,16384,131072,16,none,ref,0,2,44.352291,9,44.086875;44.377000;44.628125;44.352291;44.023541;43.918208;44.219417;44.613792;44.580041 -wide31,16384,131072,16,none,ref,0,32,64.523625,9,65.509584;63.234250;65.116667;65.243042;64.903458;64.523625;63.181459;63.612750;63.286166 -wide1023,16384,131072,16,none,ref,0,1024,59.174417,9,58.785959;58.733333;58.501958;59.025541;59.562083;59.174417;59.679125;61.427416;60.950667 -wide32767,16384,131072,16,none,ref,0,32768,51.340375,9,51.536250;50.769167;51.296250;50.826084;51.254458;51.340375;55.436375;52.199417;51.832375 -wide1048575,16384,131072,16,none,ref,0,1048570,49.692959,9,49.268709;49.916458;49.665333;50.078875;50.071583;49.323417;49.692959;49.539000;50.344708 -wide33554431,16384,131072,16,none,ref,1,33554196,50.979792,9,51.642458;50.843541;51.670125;52.071708;50.979792;49.830125;49.897750;53.102917;50.218000 diff --git a/dev/perf/spf_queue/results/core/sweep-a2-old.csv b/dev/perf/spf_queue/results/core/sweep-a2-old.csv deleted file mode 100644 index 481ab09..0000000 --- a/dev/perf/spf_queue/results/core/sweep-a2-old.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -wide1,16384,131072,16,none,ref,0,2,45.312333,9,44.464833;44.154500;47.801250;53.494416;50.825042;45.947750;45.312333;44.580125;43.997000 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a/dev/perf/spf_queue/results/core/sweep-b-new.csv b/dev/perf/spf_queue/results/core/sweep-b-new.csv deleted file mode 100644 index 9433c7f..0000000 --- a/dev/perf/spf_queue/results/core/sweep-b-new.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -wide1,16384,131072,16,none,ref,0,2,36.503458,9,37.167208;36.729708;37.140375;36.533916;36.503458;36.221459;36.294459;36.378834;36.433625 -wide31,16384,131072,16,none,ref,0,32,37.245334,9,37.449375;37.121292;37.245334;37.061000;37.297667;37.611959;37.674375;37.111042;37.001167 -wide1023,16384,131072,16,none,ref,0,1024,35.254125,9,35.443709;34.672542;34.525583;35.358042;35.254125;34.552375;35.635083;35.049750;37.176667 -wide32767,16384,131072,16,none,ref,0,32768,42.723500,9,46.660292;46.680417;43.522792;42.570000;42.480250;42.398000;43.176167;42.561459;42.723500 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-random,65536,524288,64,near,ref,0,32,4.350791,9,4.351875;4.369875;4.271042;4.321834;4.495250;4.440125;4.322833;4.295916;4.350791 -random,262144,2097152,16,near,ref,0,32,4.508541,9,4.475417;4.420459;4.466000;4.534375;4.546958;4.508541;4.552375;4.574167;4.442375 -random,262144,2097152,1,none,ref,0,32,136.600542,9,131.104333;132.261833;151.478750;136.600542;153.047334;136.134208;151.398709;138.768875;133.424375 -random,4096,32768,64,reverse,ref,0,32,55.852125,9,56.317833;55.482417;55.200209;55.489792;55.858208;56.313583;55.924292;55.852125;55.504916 -random,16384,131072,16,reverse,ref,0,32,66.552625,9,66.607458;66.686250;66.552625;66.465708;66.405917;66.595375;66.715500;66.423000;66.335334 -clos,800,320000,16,reverse,ref,0,2,45.430417,9,45.366916;46.270000;45.521083;45.523167;45.045208;45.342166;46.058917;45.430417;45.360167 -chain,2048,2047,1,reverse,ref,0,32,0.002459,9,0.002542;0.002500;0.002458;0.002417;0.002458;0.002459;0.002459;0.002417;0.002500 diff --git a/dev/perf/spf_queue/results/core/time-a2-old.csv b/dev/perf/spf_queue/results/core/time-a2-old.csv deleted file mode 100644 index 94e8ab2..0000000 --- a/dev/perf/spf_queue/results/core/time-a2-old.csv +++ /dev/null @@ -1,24 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,1024,8192,1,none,ref,0,32,0.101834,9,0.109500;0.105542;0.101750;0.104625;0.101834;0.100333;0.101167;0.103750;0.100666 -random,4096,32768,256,none,ref,0,32,207.613708,9,207.485375;206.933041;208.212125;207.613708;207.810167;208.212750;210.455416;207.561500;207.319334 -random,16384,131072,64,none,ref,0,32,250.635500,9,248.790875;255.047708;252.925667;250.635500;259.166875;256.407833;249.778542;249.601458;249.926959 -random,65536,524288,1,none,ref,0,32,19.031875,9,19.095375;18.645916;18.997584;19.031875;19.140959;18.780000;18.720708;19.176583;19.497166 -random,4096,131072,64,none,ref,0,32,110.612875,9,109.587375;110.209167;111.275208;110.612875;111.021292;109.861250;109.868792;111.204875;112.800917 -clos,800,320000,64,none,ref,0,2,144.348666,9,144.072417;144.348666;142.863833;144.374250;143.269584;143.490667;145.960250;146.807167;149.376125 -grid,10000,39600,1,none,ref,0,2,0.617875,9,0.702541;0.759916;0.659916;0.617875;0.626667;0.612417;0.608000;0.610875;0.602750 -chain,2048,2047,1,none,ref,0,32,0.021125,9,0.021167;0.021208;0.020917;0.021042;0.021125;0.021042;0.021125;0.021125;0.021083 -uniform,16384,131072,64,none,ref,0,2,177.095166,9,182.894583;177.679000;176.943375;178.067417;177.095166;175.792833;175.764500;177.102125;176.212083 -random_masked,16384,131072,64,none,ref,0,32,229.178375,9,236.057750;234.569458;229.058791;230.634208;228.691667;229.766125;229.178375;228.735667;228.920333 -pseudo,802,320200,64,fixed,ref,0,2,143.852875,9,142.524209;145.574958;144.100459;142.070458;141.723667;142.472459;145.693959;143.852875;144.534584 -random,1024,8192,64,far,ref,0,32,10.644542,9,10.938208;10.673625;10.548000;10.667625;10.833166;10.644542;10.574875;10.554875;10.396333 -random,16384,131072,64,far,ref,0,32,250.480292,9,249.484750;256.099917;256.425250;250.480292;250.175000;252.559959;249.520334;250.489750;249.955709 -random,65536,524288,16,far,ref,0,32,330.221833,9,315.811792;313.175667;318.501292;354.013792;334.924291;358.063459;337.334500;330.221833;325.634834 -random,1024,8192,64,near,ref,0,32,0.115000,9,0.131166;0.120875;0.123250;0.114667;0.115125;0.114500;0.114542;0.115000;0.114458 -random,16384,131072,64,near,ref,0,32,1.158416,9,1.172833;1.157791;1.135833;1.134000;1.149042;1.170666;1.162125;1.159625;1.158416 -random,65536,524288,64,near,ref,0,32,4.254209,9,4.462792;4.332792;4.254209;4.196083;4.119875;4.314084;4.682750;4.132750;4.198625 -random,262144,2097152,16,near,ref,0,32,4.052500,9,4.064917;4.003458;4.176958;3.968500;4.052500;4.077541;4.024875;4.008208;4.084000 -random,262144,2097152,1,none,ref,0,32,133.776042,9,129.185667;137.226125;140.845583;129.927167;138.156834;133.776042;129.648542;129.228250;140.502583 -random,4096,32768,64,reverse,ref,0,32,55.341708,9,55.341708;54.893125;55.288291;55.720083;55.631458;55.147375;55.813000;55.523584;55.047041 -random,16384,131072,16,reverse,ref,0,32,66.335584,9,66.911958;66.478584;66.164500;66.552166;65.950875;66.265667;66.290083;66.454625;66.335584 -clos,800,320000,16,reverse,ref,0,2,45.715584,9,45.088375;45.245375;45.715584;45.252958;45.571917;47.052000;47.791334;48.474250;47.146917 -chain,2048,2047,1,reverse,ref,0,32,0.002500,9,0.002541;0.006000;0.002542;0.002500;0.002500;0.002459;0.002417;0.002417;0.002459 diff --git a/dev/perf/spf_queue/results/core/time-b-new-heap.csv b/dev/perf/spf_queue/results/core/time-b-new-heap.csv deleted file mode 100644 index 205909f..0000000 --- a/dev/perf/spf_queue/results/core/time-b-new-heap.csv +++ /dev/null @@ -1,24 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,1024,8192,1,none,ref,0,32,0.088833,9,0.096708;0.091625;0.088833;0.088750;0.090125;0.088541;0.088417;0.089375;0.087750 -random,4096,32768,256,none,ref,0,32,221.265750,9,220.144584;223.817375;220.986583;223.324666;222.115833;219.679500;221.265750;223.397125;220.469791 -random,16384,131072,64,none,ref,0,32,266.067667,9,274.505625;266.067667;267.851333;270.677250;269.163250;264.256125;265.097667;263.502791;263.624708 -random,65536,524288,1,none,ref,0,32,23.134583,9,20.670500;23.134583;24.174791;23.200709;23.227667;24.203375;22.576833;22.547500;22.666666 -random,4096,131072,64,none,ref,0,32,115.415541,9,115.824416;115.139792;115.361583;115.253792;118.206167;115.457125;114.843167;115.415541;115.862542 -clos,800,320000,64,none,ref,0,2,111.078375,9,111.197500;111.471166;110.903000;110.062458;111.763917;111.078375;111.423292;110.355000;109.572500 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-random,16384,131072,64,none,ref,0,32,150.945333,9,153.656875;164.973750;153.952125;152.398625;150.712417;150.172000;150.945333;148.924042;150.006708 -random,65536,524288,1,none,ref,0,32,11.514416,9,12.729084;11.643750;11.423167;11.514416;11.301959;11.454750;11.378291;11.714166;13.003042 -random,4096,131072,64,none,ref,0,32,77.140875,9,77.841792;76.885000;76.946334;77.022959;77.553333;77.419958;77.140875;77.250500;76.946625 -clos,800,320000,64,none,ref,0,2,110.201250,9,110.201250;110.459333;111.589125;110.316375;110.060292;109.016875;109.324375;111.536917;109.488958 -grid,10000,39600,1,none,ref,0,2,0.458667,9,0.455084;0.457958;0.457750;0.454583;0.525708;0.490208;0.472750;0.473292;0.458667 -chain,2048,2047,1,none,ref,0,32,0.027209,9,0.027667;0.032000;0.027583;0.027167;0.027167;0.027500;0.027209;0.027209;0.026875 -uniform,16384,131072,64,none,ref,0,2,146.318459,9,148.808250;145.343750;145.932500;145.638708;144.796250;146.318459;147.311791;149.775541;151.739708 -random_masked,16384,131072,64,none,ref,0,32,140.926917,9,141.910000;140.926917;140.947875;142.060625;140.763166;140.562292;140.122166;140.942208;140.426417 -pseudo,802,320200,64,fixed,ref,0,2,107.962250,9,107.962250;107.616041;110.084750;111.659083;109.297500;109.965042;107.801958;107.381167;107.513167 -random,1024,8192,64,far,ref,0,32,7.093000,9,7.049625;6.997417;7.093000;6.971875;7.082042;7.106000;7.180791;7.158083;7.143250 -random,16384,131072,64,far,ref,0,32,149.749750,9,149.000292;149.749750;149.729417;154.389250;149.780083;149.536709;149.227542;150.169167;155.094416 -random,65536,524288,16,far,ref,0,32,201.204958,9,198.333625;195.605250;206.026334;204.001458;199.659708;201.204958;196.077834;233.704458;211.461416 -random,1024,8192,64,near,ref,0,32,0.042584,9,0.053208;0.042500;0.042166;0.043625;0.042625;0.042584;0.042667;0.041833;0.042000 -random,16384,131072,64,near,ref,0,32,0.402375,9,0.403084;0.411250;0.396709;0.396209;0.402375;0.405083;0.404750;0.393667;0.394125 -random,65536,524288,64,near,ref,0,32,1.505625,9,1.490084;1.491875;1.527917;1.524792;1.505625;1.635250;1.522292;1.500542;1.498333 -random,262144,2097152,16,near,ref,0,32,1.491458,9,1.448042;1.475334;1.456458;1.498000;1.502959;1.516000;1.550250;1.491458;1.483708 -random,262144,2097152,1,none,ref,0,32,96.220542,9,96.220542;99.851167;96.823708;92.344792;90.409417;89.217250;89.115792;96.658666;97.151708 -random,4096,32768,64,reverse,ref,0,32,34.225416,9,34.518125;34.398250;34.308125;34.140792;34.143125;34.115125;34.155500;34.273000;34.225416 -random,16384,131072,16,reverse,ref,0,32,38.665209,9,38.807916;38.697167;38.897083;38.665209;38.407208;38.855583;38.632208;38.602916;38.591125 -clos,800,320000,16,reverse,ref,0,2,37.150083,9,39.364542;37.592042;37.042417;38.531000;37.150083;37.109750;38.969375;37.142042;36.280792 -chain,2048,2047,1,reverse,ref,0,32,0.000958,9,0.000958;0.000959;0.000917;0.000958;0.000959;0.000958;0.000916;0.000917;0.000916 diff --git a/dev/perf/spf_queue/results/dag/a1-old.csv b/dev/perf/spf_queue/results/dag/a1-old.csv deleted file mode 100644 index fefc4ce..0000000 --- a/dev/perf/spf_queue/results/dag/a1-old.csv +++ /dev/null @@ -1,11 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,16384,131072,64,none,ref,0,32,152.648875,7,152.167166;153.360875;152.907875;152.632458;152.822292;152.368542;152.648875 -random,65536,524288,1,none,ref,0,32,14.920958,7,16.236834;14.825542;16.897875;13.913708;15.185750;14.424959;14.920958 -clos,800,320000,64,none,ref,0,2,111.433875,7,112.056041;111.918375;110.848834;111.597542;110.760041;111.433875;110.599667 -chain,2048,2047,1,none,ref,0,32,0.029333,7,0.025750;0.029416;0.026708;0.027667;0.029417;0.029333;0.029667 -random,16384,131072,64,near,ref,0,32,0.407667,7,0.425208;0.403834;0.399167;0.407667;0.411083;0.402583;0.411292 -random,65536,524288,64,near,ref,0,32,1.579917,7,1.499792;1.495166;1.604000;2.009208;1.673083;1.579917;1.566625 -random,262144,2097152,16,near,ref,0,32,1.454875,7,1.460209;1.514375;1.394875;1.452666;1.452750;1.454875;1.578333 -random,262144,2097152,1,none,ref,0,32,97.267917,7,97.108584;97.267917;98.792542;96.674833;98.478833;97.012041;97.615250 -random,4096,32768,64,reverse,ref,0,32,34.863542,7,34.934208;35.170667;34.723084;34.276083;34.754542;34.863542;34.981958 -clos,800,320000,16,reverse,ref,0,2,40.670541,7,39.681333;41.645791;41.529250;40.433167;40.670541;40.816292;40.299417 diff --git a/dev/perf/spf_queue/results/dag/a2-old.csv b/dev/perf/spf_queue/results/dag/a2-old.csv deleted file mode 100644 index d1546b1..0000000 --- a/dev/perf/spf_queue/results/dag/a2-old.csv +++ /dev/null @@ -1,11 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,16384,131072,64,none,ref,0,32,153.165667,7,152.957375;151.711541;153.660375;153.659708;152.538166;153.165667;155.704375 -random,65536,524288,1,none,ref,0,32,13.659042,7,14.052708;13.553333;13.659042;14.954041;14.541875;12.997458;13.054584 -clos,800,320000,64,none,ref,0,2,113.659542,7,113.740625;114.077916;112.995792;113.659542;112.719250;114.274875;112.979500 -chain,2048,2047,1,none,ref,0,32,0.032583,7,0.032458;0.032958;0.032583;0.032292;0.032875;0.032833;0.032375 -random,16384,131072,64,near,ref,0,32,0.408459,7,0.396667;0.396875;0.394208;0.408459;0.411042;0.411958;0.420041 -random,65536,524288,64,near,ref,0,32,1.589042,7,1.506250;1.943542;1.643042;1.527500;1.519208;1.729375;1.589042 -random,262144,2097152,16,near,ref,0,32,1.516084,7,1.547583;1.555666;1.506417;1.528833;1.492750;1.516084;1.471041 -random,262144,2097152,1,none,ref,0,32,98.082583,7,98.082583;97.663250;100.059834;98.294333;98.673375;97.223625;97.694875 -random,4096,32768,64,reverse,ref,0,32,34.828750,7,34.917375;35.040416;34.719875;34.828458;35.091791;34.828750;34.700792 -clos,800,320000,16,reverse,ref,0,2,39.611083,7,39.576708;39.611083;39.915917;40.217500;39.978833;39.580583;39.046459 diff --git a/dev/perf/spf_queue/results/dag/b-new-dag.csv b/dev/perf/spf_queue/results/dag/b-new-dag.csv deleted file mode 100644 index bbd56d0..0000000 --- a/dev/perf/spf_queue/results/dag/b-new-dag.csv +++ /dev/null @@ -1,11 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,16384,131072,64,none,ref,0,32,147.204834,7,148.269791;146.921083;148.045750;146.513042;148.202917;147.204834;146.236167 -random,65536,524288,1,none,ref,0,32,13.981000,7,15.172208;15.104417;13.815083;13.842041;12.977916;15.596917;13.981000 -clos,800,320000,64,none,ref,0,2,102.374208,7,102.762583;102.448042;103.339666;102.294750;101.823958;102.374208;101.949791 -chain,2048,2047,1,none,ref,0,32,0.028000,7,0.027750;0.027709;0.028083;0.027917;0.028375;0.028000;0.028292 -random,16384,131072,64,near,ref,0,32,0.336208,7,0.362583;0.336208;0.351084;0.340000;0.309000;0.329541;0.334750 -random,65536,524288,64,near,ref,0,32,1.255792,7,1.378250;1.308292;1.330916;1.255792;1.228958;1.246417;1.253375 -random,262144,2097152,16,near,ref,0,32,1.204792,7,1.203208;1.234666;1.229458;1.204792;1.208625;1.188083;1.200250 -random,262144,2097152,1,none,ref,0,32,92.972125,7,93.473416;93.923791;94.374750;92.760375;92.890000;92.972125;92.331208 -random,4096,32768,64,reverse,ref,0,32,35.038958,7,35.038958;34.932333;35.057625;35.124458;34.640500;34.992333;35.300584 -clos,800,320000,16,reverse,ref,0,2,37.358000,7,38.057375;36.721375;38.048250;36.772167;37.358000;37.697042;36.755500 diff --git a/dev/perf/spf_queue/results/dag/b-new-full.csv b/dev/perf/spf_queue/results/dag/b-new-full.csv deleted file mode 100644 index 4ff193c..0000000 --- a/dev/perf/spf_queue/results/dag/b-new-full.csv +++ /dev/null @@ -1,11 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,16384,131072,64,none,ref,0,32,147.974625,7,147.189625;148.072833;146.896084;146.343458;148.334375;147.974625;150.991416 -random,65536,524288,1,none,ref,0,32,14.055917,7,15.668625;13.799667;14.560458;12.363667;14.155667;14.055917;12.275209 -clos,800,320000,64,none,ref,0,2,102.649416,7,102.649416;101.224791;102.788625;104.979084;103.555125;102.376875;101.695209 -chain,2048,2047,1,none,ref,0,32,0.026792,7,0.026708;0.026667;0.026250;0.026792;0.054167;0.034500;0.027459 -random,16384,131072,64,near,ref,0,32,0.425917,7,0.426292;0.410125;0.473583;0.429334;0.425917;0.400333;0.415375 -random,65536,524288,64,near,ref,0,32,1.647166,7,1.590334;1.812166;1.589500;1.647166;2.255959;1.654959;1.498917 -random,262144,2097152,16,near,ref,0,32,1.518500,7,1.526666;1.503250;1.493500;1.518500;1.483500;1.531750;1.591500 -random,262144,2097152,1,none,ref,0,32,91.525542,7,92.345542;92.210584;91.222125;91.525542;92.527084;91.375000;91.478625 -random,4096,32768,64,reverse,ref,0,32,35.060250,7,34.390375;34.607625;35.061334;35.060250;35.146916;35.280375;34.569750 -clos,800,320000,16,reverse,ref,0,2,37.389334,7,37.535584;36.957875;37.363000;37.207291;37.389334;37.840417;37.400125 diff --git a/dev/perf/spf_queue/results/dag/environment.txt b/dev/perf/spf_queue/results/dag/environment.txt deleted file mode 100644 index 52b0a04..0000000 --- a/dev/perf/spf_queue/results/dag/environment.txt +++ /dev/null @@ -1,6 +0,0 @@ -date: 2026-10-02T18:14:27Z -old: d5717cc (0.11.0) via build.sh old d5717cc; new: working tree with shortest_paths_dag -phases: a1-old, b-new-full (shortest_paths), b-new-dag (SPFX_DAG=1: shortest_paths_dag for destination rows), a2-old; short mode, 7 samples -b1760ef54d46011673e5f517d1b6242fcda0f9cd500898ec4748b2df4bb054ff src/shortest_paths.cpp -494b95a4a3b7fd9105a37c5f53acf4e88642167549b7eb56f4e01f64e013cd5e build/perf/cpu-queue -7de733ce4ec111c3414e2b262b6063a253b5cd790e4beceab893d802f0c5bf6a build/perf/cpu-queue-old diff --git a/dev/perf/spf_queue/results/dag/load.txt b/dev/perf/spf_queue/results/dag/load.txt deleted file mode 100644 index 75af2c4..0000000 --- a/dev/perf/spf_queue/results/dag/load.txt +++ /dev/null @@ -1,2 +0,0 @@ -19:13 up 52 days, 23:49, 3 users, load averages: 4.78 12.34 19.44 -19:13 up 52 days, 23:49, 3 users, load averages: 4.34 11.75 19.06 diff --git a/dev/perf/spf_queue/results/first/correctness-sanitized.txt b/dev/perf/spf_queue/results/first/correctness-sanitized.txt deleted file mode 100644 index 347c0ee..0000000 --- a/dev/perf/spf_queue/results/first/correctness-sanitized.txt +++ /dev/null @@ -1,2 +0,0 @@ -checked=1351168 failed=0 -exit=0 diff --git a/dev/perf/spf_queue/results/first/correctness-teeth.txt b/dev/perf/spf_queue/results/first/correctness-teeth.txt deleted file mode 100644 index d723574..0000000 --- a/dev/perf/spf_queue/results/first/correctness-teeth.txt +++ /dev/null @@ -1 +0,0 @@ -checked=1351168 failed=167636 diff --git a/dev/perf/spf_queue/results/first/correctness.txt b/dev/perf/spf_queue/results/first/correctness.txt deleted file mode 100644 index 347c0ee..0000000 --- a/dev/perf/spf_queue/results/first/correctness.txt +++ /dev/null @@ -1,2 +0,0 @@ -checked=1351168 failed=0 -exit=0 diff --git a/dev/perf/spf_queue/results/first/environment.txt b/dev/perf/spf_queue/results/first/environment.txt deleted file mode 100644 index b5c6fa9..0000000 --- a/dev/perf/spf_queue/results/first/environment.txt +++ /dev/null @@ -1,8 +0,0 @@ -date: 2026-09-27T13:35:56Z -commit: fbab119e794c843838f4f3f96d75cb7f32f06845 -Apple M4 Max -ae2f8f3b2f2839d6d088e0a938b86cba02c23c285c33cac99df6bf369286f264 dev/perf/spf_queue/spf_variants.hpp -a0ac4290fd6b47bdefcc4bd4cf50257e275406cb34f371e4c0ba30368b0fea45 dev/perf/spf_queue/harness.cpp -9ee6053d38a0b1e44df958e423e12ab93fb54c3d80c8d4bcb623730362b8f441 src/shortest_paths.cpp -12f65bdc8daa9415d118d062bdc897981bde448f5391bed2c711c8c968e9322b src/strict_multidigraph.cpp -Apple clang version 21.0.0 (clang-2100.1.1.101) diff --git a/dev/perf/spf_queue/results/first/load.txt b/dev/perf/spf_queue/results/first/load.txt deleted file mode 100644 index 3452f6c..0000000 --- a/dev/perf/spf_queue/results/first/load.txt +++ /dev/null @@ -1,15 +0,0 @@ -14:35 up 47 days, 19:11, 3 users, load averages: 3.33 3.01 3.05 -14:36 up 47 days, 19:12, 3 users, load averages: 2.94 2.95 3.03 -14:36 up 47 days, 19:12, 3 users, load averages: 4.08 3.21 3.12 -14:37 up 47 days, 19:12, 3 users, load averages: 3.95 3.25 3.14 -14:37 up 47 days, 19:13, 3 users, load averages: 3.41 3.18 3.11 -14:37 up 47 days, 19:13, 3 users, load averages: 3.16 3.14 3.10 -14:38 up 47 days, 19:13, 3 users, load averages: 3.64 3.25 3.14 -14:38 up 47 days, 19:14, 3 users, load averages: 3.28 3.18 3.12 -14:38 up 47 days, 19:14, 3 users, load averages: 3.21 3.17 3.11 -14:39 up 47 days, 19:14, 3 users, load averages: 3.47 3.24 3.14 -14:39 up 47 days, 19:15, 3 users, load averages: 3.59 3.29 3.16 -14:39 up 47 days, 19:15, 3 users, load averages: 3.55 3.28 3.16 -14:39 up 47 days, 19:15, 3 users, load averages: 3.42 3.26 3.15 -14:39 up 47 days, 19:15, 3 users, load averages: 3.63 3.31 3.17 -14:39 up 47 days, 19:15, 3 users, load averages: 3.63 3.31 3.17 diff --git a/dev/perf/spf_queue/results/first/sweep-bsort-sparse.csv b/dev/perf/spf_queue/results/first/sweep-bsort-sparse.csv deleted file mode 100644 index d6524b4..0000000 --- a/dev/perf/spf_queue/results/first/sweep-bsort-sparse.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -wide1,16384,131072,16,none,bsort-sparse,0,2,36.213417,9,37.503167;36.411458;36.550708;35.483709;36.001917;36.213417;37.912750;35.776291;36.088458 -wide31,16384,131072,16,none,bsort-sparse,0,32,37.633250,9,37.642292;37.615583;37.526041;37.746125;37.884709;37.733334;37.633250;37.480625;37.275917 -wide1023,16384,131072,16,none,bsort-sparse,0,1024,33.782917,9,33.744125;33.971042;33.692333;33.873166;33.782917;33.827375;33.746500;33.667792;33.785417 -wide32767,16384,131072,16,none,bsort-sparse,0,32768,34.269584,9,34.145166;34.158250;34.001209;34.269584;33.649958;34.406584;34.414625;34.346042;34.283834 -wide1048575,16384,131072,16,none,bsort-sparse,0,1048570,46.217500,9,45.310209;47.594125;46.217500;46.955084;46.440625;46.040500;45.000041;46.189209;47.516000 -wide33554431,16384,131072,16,none,bsort-sparse,1,33554196,56.886334,9,55.632334;57.164750;57.547542;57.042417;56.886334;57.274458;56.415333;56.450250;56.839292 diff --git a/dev/perf/spf_queue/results/first/sweep-bucket-sparse.csv b/dev/perf/spf_queue/results/first/sweep-bucket-sparse.csv deleted file mode 100644 index e172a77..0000000 --- a/dev/perf/spf_queue/results/first/sweep-bucket-sparse.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -wide1,16384,131072,16,none,bucket-sparse,0,2,35.220125,9,34.863958;35.220125;35.179708;35.015167;35.218083;35.266916;35.852333;35.964375;35.417875 -wide31,16384,131072,16,none,bucket-sparse,0,32,35.754000,9,35.186583;35.210584;36.171750;36.027334;36.380417;35.901208;35.754000;35.222417;35.417541 -wide1023,16384,131072,16,none,bucket-sparse,0,1024,34.063333,9,34.236000;34.070875;34.083625;33.672625;34.063333;33.680458;33.881833;33.872875;34.160292 -wide32767,16384,131072,16,none,bucket-sparse,0,32768,35.003458,9,35.149750;35.003458;34.967500;35.018583;35.021125;34.919542;34.933209;35.050500;34.908083 -wide1048575,16384,131072,16,none,bucket-sparse,0,1048570,46.844291,9,46.844291;44.614167;46.522541;45.393916;46.223250;47.520584;48.872792;48.944750;46.885625 -wide33554431,16384,131072,16,none,bucket-sparse,1,33554196,56.527708,9,56.282083;56.527708;56.688292;56.450375;58.205833;56.590208;56.040166;56.696125;56.417125 diff --git a/dev/perf/spf_queue/results/first/sweep-heap-sparse.csv b/dev/perf/spf_queue/results/first/sweep-heap-sparse.csv deleted file mode 100644 index 7164155..0000000 --- a/dev/perf/spf_queue/results/first/sweep-heap-sparse.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -wide1,16384,131072,16,none,heap-sparse,0,2,46.968625,9,47.229292;46.897250;46.189542;46.399666;48.464125;47.555375;46.968625;47.561292;46.556542 -wide31,16384,131072,16,none,heap-sparse,0,32,69.403708,9,69.283542;69.735167;69.185625;69.599000;69.889917;69.209417;69.402167;69.403708;70.222125 -wide1023,16384,131072,16,none,heap-sparse,0,1024,67.032584,9,67.360250;66.871958;67.032584;67.299542;67.001125;67.400292;68.543416;66.935334;66.819000 -wide32767,16384,131072,16,none,heap-sparse,0,32768,58.449708,9,57.046833;58.449708;59.940292;59.077958;59.057333;58.319000;58.592958;58.129917;57.809250 -wide1048575,16384,131072,16,none,heap-sparse,0,1048570,57.236042,9,57.512500;56.372916;57.242875;56.918167;57.274917;57.236042;56.913416;57.412625;57.007750 -wide33554431,16384,131072,16,none,heap-sparse,1,33554196,56.640542,9,56.641292;55.692875;55.862500;55.489417;56.796875;56.640542;56.854500;56.504375;56.956292 diff --git a/dev/perf/spf_queue/results/first/sweep-ref.csv b/dev/perf/spf_queue/results/first/sweep-ref.csv deleted file mode 100644 index 0b8390b..0000000 --- a/dev/perf/spf_queue/results/first/sweep-ref.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -wide1,16384,131072,16,none,ref,0,2,43.727417,9,43.343875;44.084000;43.727417;43.741292;43.888209;43.588916;43.806583;43.654875;43.198666 -wide31,16384,131072,16,none,ref,0,32,62.112375,9,62.803250;61.927958;62.112375;61.957708;61.832417;61.767541;63.810750;68.329792;62.300042 -wide1023,16384,131072,16,none,ref,0,1024,58.154708,9,57.620875;58.266375;58.270167;57.265875;57.078750;59.170875;57.157083;58.154708;63.124917 -wide32767,16384,131072,16,none,ref,0,32768,49.973584,9,50.194417;49.654458;49.866084;49.973584;50.138500;50.410167;49.828167;49.296625;50.260250 -wide1048575,16384,131072,16,none,ref,0,1048570,48.596208,9,47.921292;48.808916;48.395167;48.596208;48.227875;48.645500;48.894667;49.038500;48.373792 -wide33554431,16384,131072,16,none,ref,1,33554196,48.868375,9,48.062459;48.759333;49.000291;48.868375;48.529750;48.639958;49.409125;48.982166;48.976000 diff --git a/dev/perf/spf_queue/results/first/time-bsort-fresh-b.csv b/dev/perf/spf_queue/results/first/time-bsort-fresh-b.csv deleted file mode 100644 index 807378f..0000000 --- a/dev/perf/spf_queue/results/first/time-bsort-fresh-b.csv +++ /dev/null @@ -1,20 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,1024,8192,1,none,bsort-fresh,0,32,0.073000,9,0.079958;0.074375;0.074041;0.072541;0.072417;0.072791;0.073250;0.072875;0.073000 -random,4096,32768,256,none,bsort-fresh,0,32,127.398375,9,126.718708;125.971417;126.947417;129.972584;128.232417;128.374958;128.044166;127.398375;127.396167 -random,16384,131072,64,none,bsort-fresh,0,32,144.333333,9,144.555416;147.892875;145.481209;143.996083;144.333333;144.136167;144.596167;144.100209;143.942459 -random,65536,524288,1,none,bsort-fresh,0,32,10.920625,9,10.780291;10.920625;10.930583;10.925833;10.912958;10.827666;10.885833;11.177000;10.983875 -random,4096,131072,64,none,bsort-fresh,0,32,65.595250,9,65.367834;65.363375;64.938292;66.759000;67.187209;68.249708;67.946375;65.595250;64.582250 -clos,800,320000,64,none,bsort-fresh,0,2,126.180125,9,127.017042;126.199333;125.849000;125.754625;125.813333;126.180125;126.682042;126.612375;125.955541 -grid,10000,39600,1,none,bsort-fresh,0,2,0.392833,9,0.435875;0.402709;0.395417;0.394042;0.392833;0.389209;0.389291;0.389250;0.391500 -chain,2048,2047,1,none,bsort-fresh,0,32,0.044875,9,0.065416;0.045250;0.048167;0.045000;0.043750;0.044666;0.044708;0.044875;0.044791 -uniform,16384,131072,64,none,bsort-fresh,0,2,142.049166,9,142.963458;143.555708;140.099292;144.939667;147.514959;141.901334;142.049166;141.335459;141.541834 -random_masked,16384,131072,64,none,bsort-fresh,0,32,140.737542,9,139.656959;139.978542;141.379625;142.474875;140.737542;140.405875;141.147333;139.679375;141.383500 -pseudo,802,320200,64,fixed,bsort-fresh,0,2,130.713667,9,134.616125;131.302333;132.074667;131.003750;130.271167;130.713667;129.811250;128.510167;126.406125 -random,1024,8192,64,far,bsort-fresh,0,32,6.481416,9,6.446375;6.834125;6.495416;6.481416;6.725083;6.711584;6.344709;6.472000;6.272958 -random,16384,131072,64,far,bsort-fresh,0,32,143.584500,9,144.152958;143.569083;143.288000;144.914292;143.919625;143.357792;142.812792;144.227542;143.584500 -random,65536,524288,16,far,bsort-fresh,0,32,177.307125,9,172.243125;178.124000;174.089375;187.898458;194.189167;181.906334;177.307125;173.282583;175.041833 -random,1024,8192,64,near,bsort-fresh,0,32,0.115500,9,0.127708;0.113375;0.112916;0.111750;0.118541;0.116708;0.131792;0.115500;0.112166 -random,16384,131072,64,near,bsort-fresh,0,32,1.114708,9,1.096125;1.098250;1.114708;1.131916;1.203875;1.139833;1.164917;1.066291;1.106917 -random,65536,524288,64,near,bsort-fresh,0,32,4.342334,9,4.342334;4.513791;4.308459;4.539084;4.296958;4.536416;4.332875;4.542125;4.300667 -random,262144,2097152,16,near,bsort-fresh,0,32,4.199250,9,19.132917;19.258458;16.012125;3.874875;4.016334;4.104625;4.215708;4.122584;4.199250 -random,262144,2097152,1,none,bsort-fresh,0,32,82.487666,9,82.487666;82.558167;83.558916;82.006250;80.108042;81.022917;82.437333;87.462667;84.019958 diff --git a/dev/perf/spf_queue/results/first/time-bsort-sparse-b.csv b/dev/perf/spf_queue/results/first/time-bsort-sparse-b.csv deleted file mode 100644 index 42185a1..0000000 --- a/dev/perf/spf_queue/results/first/time-bsort-sparse-b.csv +++ /dev/null @@ -1,20 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,1024,8192,1,none,bsort-sparse,0,32,0.072208,9,0.077833;0.073958;0.074833;0.072125;0.072000;0.072208;0.072333;0.071375;0.071583 -random,4096,32768,256,none,bsort-sparse,0,32,130.563333,9,130.291542;129.928333;129.826125;130.341792;132.589334;130.890375;130.563333;132.631791;133.538958 -random,16384,131072,64,none,bsort-sparse,0,32,154.019875,9,150.272541;149.183208;158.544792;154.019875;152.807500;157.225917;154.544834;152.768542;156.195500 -random,65536,524288,1,none,bsort-sparse,0,32,12.254041,9,11.671833;11.614125;11.664000;12.254041;12.390959;13.516750;12.239416;13.174959;12.510875 -random,4096,131072,64,none,bsort-sparse,0,32,66.531042,9,66.602416;66.531042;67.645250;66.783667;66.124292;66.494833;66.341375;66.474667;66.600375 -clos,800,320000,64,none,bsort-sparse,0,2,128.233625,9,127.980125;127.916459;128.161375;128.233625;128.160375;131.579125;129.286625;131.803792;130.153792 -grid,10000,39600,1,none,bsort-sparse,0,2,0.414875,9,0.424042;0.419708;0.413625;0.414875;0.412208;0.410958;0.410708;0.578292;0.429708 -chain,2048,2047,1,none,bsort-sparse,0,32,0.045375,9,0.047542;0.047834;0.047791;0.047667;0.043625;0.043500;0.043500;0.043416;0.045375 -uniform,16384,131072,64,none,bsort-sparse,0,2,140.927958,9,140.451625;140.927958;140.518625;141.233375;140.714709;146.751417;144.065209;141.193125;140.622750 -random_masked,16384,131072,64,none,bsort-sparse,0,32,147.117084,9,150.706875;160.268500;150.488166;146.747542;146.520458;146.777958;147.836209;147.117084;146.608750 -pseudo,802,320200,64,fixed,bsort-sparse,0,2,126.737125,9,130.360708;126.737125;125.585334;126.883500;126.408666;126.394500;128.847042;127.032125;126.336500 -random,1024,8192,64,far,bsort-sparse,0,32,6.427875,9,6.558666;6.515333;6.526083;6.427875;6.496250;6.376792;6.409709;6.403500;6.394375 -random,16384,131072,64,far,bsort-sparse,0,32,150.673083,9,150.673083;150.674500;151.902042;149.348292;149.884167;150.329125;150.647417;154.169167;153.845334 -random,65536,524288,16,far,bsort-sparse,0,32,185.616042,9,186.573292;184.522542;185.096875;187.703416;185.322625;185.616042;185.213666;193.822083;188.567750 -random,1024,8192,64,near,bsort-sparse,0,32,0.043000,9,0.065917;0.043125;0.043125;0.043167;0.042916;0.042833;0.043000;0.043000;0.043000 -random,16384,131072,64,near,bsort-sparse,0,32,0.393959,9,0.405375;0.395667;0.393333;0.393542;0.393959;0.393208;0.393417;0.394000;0.418083 -random,65536,524288,64,near,bsort-sparse,0,32,1.495875,9,1.513000;1.495875;1.430333;1.527417;1.487333;1.504167;1.507000;1.488542;1.487417 -random,262144,2097152,16,near,bsort-sparse,0,32,1.450708,9,1.420625;1.438834;1.450708;1.506708;1.423125;1.437542;1.453250;1.454167;1.470750 -random,262144,2097152,1,none,bsort-sparse,0,32,86.061459,9,86.686250;86.173459;86.626250;86.437875;84.282875;86.061459;84.945792;84.178333;85.198459 diff --git a/dev/perf/spf_queue/results/first/time-bucket-fresh-b.csv b/dev/perf/spf_queue/results/first/time-bucket-fresh-b.csv deleted file mode 100644 index 5059745..0000000 --- a/dev/perf/spf_queue/results/first/time-bucket-fresh-b.csv +++ /dev/null @@ -1,20 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,1024,8192,1,none,bucket-fresh,0,32,0.078458,9,0.093458;0.084416;0.082417;0.076584;0.078708;0.077917;0.076000;0.078458;0.075917 -random,4096,32768,256,none,bucket-fresh,0,32,117.688709,9,117.763250;117.568541;119.826709;117.148083;116.848875;117.782000;117.688709;117.028166;118.412333 -random,16384,131072,64,none,bucket-fresh,0,32,133.422291,9,133.422291;135.131084;134.927209;134.389375;133.486125;132.716542;132.560333;133.355458;132.436375 -random,65536,524288,1,none,bucket-fresh,0,32,10.957041,9,10.897542;11.583166;10.951750;11.056250;10.957041;10.634750;10.294625;11.157000;11.140709 -random,4096,131072,64,none,bucket-fresh,0,32,64.141542,9,64.153834;64.116459;64.415125;64.283583;64.291917;64.082167;63.974250;64.141542;63.823958 -clos,800,320000,64,none,bucket-fresh,0,2,126.132042,9,126.527125;127.438167;126.097917;126.135291;124.511084;125.285209;127.010417;126.132042;125.727250 -grid,10000,39600,1,none,bucket-fresh,0,2,0.465958,9,0.481958;0.518250;0.500708;0.485542;0.445792;0.465958;0.458459;0.460042;0.458459 -chain,2048,2047,1,none,bucket-fresh,0,32,0.044875,9,0.040125;0.039916;0.039792;0.041417;0.044916;0.047375;0.045000;0.044875;0.044959 -uniform,16384,131072,64,none,bucket-fresh,0,2,142.378625,9,142.732667;142.469708;141.925417;141.230333;141.874083;141.373375;142.378625;144.852500;143.189958 -random_masked,16384,131072,64,none,bucket-fresh,0,32,130.637375,9,130.457042;130.042792;130.783042;130.637375;131.483084;129.935333;130.749792;130.790208;129.892000 -pseudo,802,320200,64,fixed,bucket-fresh,0,2,125.455083,9,126.943167;127.354084;127.369666;125.342417;124.162583;124.628250;126.541666;124.528000;125.455083 -random,1024,8192,64,far,bucket-fresh,0,32,6.255334,9,6.339792;6.285750;6.213042;6.201625;6.179083;6.276625;6.341917;6.255334;6.172750 -random,16384,131072,64,far,bucket-fresh,0,32,134.766458,9,133.359833;134.506208;135.116584;134.766458;133.574917;135.545875;134.077708;135.431416;134.812250 -random,65536,524288,16,far,bucket-fresh,0,32,162.663333,9,161.521083;163.212958;161.964459;162.663333;162.321958;162.549250;176.804958;175.382292;163.466083 -random,1024,8192,64,near,bucket-fresh,0,32,0.111042,9,0.117166;0.110916;0.111334;0.111125;0.103458;0.110916;0.111167;0.111042;0.106584 -random,16384,131072,64,near,bucket-fresh,0,32,1.190333,9,1.202959;1.218000;1.134083;1.148417;1.185709;1.190333;1.194292;1.222500;1.178833 -random,65536,524288,64,near,bucket-fresh,0,32,4.332041,9,4.265875;4.366833;4.247917;4.384917;4.282750;4.491208;4.332041;4.374708;4.267042 -random,262144,2097152,16,near,bucket-fresh,0,32,4.090291,9,3.828583;3.954084;3.899584;4.046292;4.130250;4.090291;4.241917;4.186083;4.144292 -random,262144,2097152,1,none,bucket-fresh,0,32,83.624875,9,91.434167;85.099291;87.027625;80.038375;82.772375;82.189167;89.432791;83.624875;82.109959 diff --git a/dev/perf/spf_queue/results/first/time-bucket-full-b.csv b/dev/perf/spf_queue/results/first/time-bucket-full-b.csv deleted file mode 100644 index 538ceb5..0000000 --- a/dev/perf/spf_queue/results/first/time-bucket-full-b.csv +++ /dev/null @@ -1,20 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,1024,8192,1,none,bucket-full,0,32,0.074792,9,0.077917;0.075750;0.075750;0.074292;0.075417;0.074625;0.074583;0.074792;0.074333 -random,4096,32768,256,none,bucket-full,0,32,119.398208,9,119.398208;120.878167;121.197792;119.620666;119.044750;119.726625;118.877792;119.055292;118.027042 -random,16384,131072,64,none,bucket-full,0,32,133.055000,9,132.952084;133.698125;133.055000;132.576417;132.905875;132.183916;134.968292;134.945500;133.846167 -random,65536,524288,1,none,bucket-full,0,32,10.186875,9,10.190542;10.191834;10.115083;10.186875;10.053959;10.254500;10.136125;10.263666;10.180708 -random,4096,131072,64,none,bucket-full,0,32,64.248666,9,64.910709;65.125209;64.397542;64.248666;64.636667;63.902875;64.126208;64.172666;64.079292 -clos,800,320000,64,none,bucket-full,0,2,126.467500,9,126.599375;125.362625;126.467500;125.210875;126.247625;126.411750;128.020208;127.637875;126.887833 -grid,10000,39600,1,none,bucket-full,0,2,0.472750,9,0.490500;0.472750;0.471250;0.472041;0.469583;0.471792;0.475917;0.481375;0.482125 -chain,2048,2047,1,none,bucket-full,0,32,0.045209,9,0.044459;0.049250;0.044791;0.045209;0.044875;0.045292;0.054958;0.052167;0.044208 -uniform,16384,131072,64,none,bucket-full,0,2,145.564458,9,144.952791;143.328833;147.899167;146.651959;145.564458;144.691208;149.940875;145.752250;145.242666 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-random,16384,131072,64,near,bucket-full,0,32,1.309166,9,1.309166;1.320833;1.325750;1.314833;1.301125;1.302167;1.301375;1.326458;1.305167 -random,65536,524288,64,near,bucket-full,0,32,4.804834,9,4.460792;4.986750;4.804834;5.224542;4.583125;4.763250;4.781834;4.829125;4.814208 -random,262144,2097152,16,near,bucket-full,0,32,5.560917,9,5.646708;5.523042;5.358334;5.583625;5.366417;5.509125;5.560917;5.655583;5.652541 -random,262144,2097152,1,none,bucket-full,0,32,80.930042,9,82.033958;78.861125;81.416959;81.632916;81.707416;80.163083;80.265000;79.492458;80.930042 diff --git a/dev/perf/spf_queue/results/first/time-bucket-sparse-b.csv b/dev/perf/spf_queue/results/first/time-bucket-sparse-b.csv deleted file mode 100644 index e4898a0..0000000 --- a/dev/perf/spf_queue/results/first/time-bucket-sparse-b.csv +++ /dev/null @@ -1,20 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,1024,8192,1,none,bucket-sparse,0,32,0.069417,9,0.073833;0.070791;0.069417;0.069167;0.068500;0.068208;0.068208;0.072083;0.075166 -random,4096,32768,256,none,bucket-sparse,0,32,122.055459,9,122.239000;121.626000;121.953875;121.374791;123.540416;122.909333;122.823917;121.561042;122.055459 -random,16384,131072,64,none,bucket-sparse,0,32,140.305917,9,140.002792;140.915750;141.959167;139.621583;140.114750;140.479542;140.596666;140.305917;139.659000 -random,65536,524288,1,none,bucket-sparse,0,32,10.681958,9,10.657250;10.608375;10.681958;10.690167;10.477083;10.461584;10.873584;12.338417;11.963750 -random,4096,131072,64,none,bucket-sparse,0,32,65.799209,9,65.799209;65.483625;65.478167;65.776875;66.112542;65.268375;66.647750;67.733209;67.061167 -clos,800,320000,64,none,bucket-sparse,0,2,127.859500,9,127.814458;126.084333;125.578083;127.859500;129.214167;128.186167;127.734041;128.022083;131.675041 -grid,10000,39600,1,none,bucket-sparse,0,2,0.497208,9,0.497417;0.496833;0.535958;0.512917;0.497208;0.490792;0.489250;0.496250;0.501875 -chain,2048,2047,1,none,bucket-sparse,0,32,0.044541,9,0.044166;0.044541;0.044792;0.044875;0.043875;0.040167;0.044000;0.044709;0.044833 -uniform,16384,131072,64,none,bucket-sparse,0,2,140.725750,9,140.679042;140.899333;140.650959;140.534083;143.067333;141.098916;140.725750;140.329209;141.557458 -random_masked,16384,131072,64,none,bucket-sparse,0,32,138.444792,9,137.654583;138.033375;139.399875;137.454083;139.411583;138.656625;140.437916;138.444792;137.928167 -pseudo,802,320200,64,fixed,bucket-sparse,0,2,127.199916,9,127.469500;126.634000;126.764916;127.199916;126.949334;126.892792;127.591084;127.256125;127.498833 -random,1024,8192,64,far,bucket-sparse,0,32,6.545583,9,6.714750;6.495500;6.545583;6.496458;6.496833;6.469416;6.560708;6.591291;6.639250 -random,16384,131072,64,far,bucket-sparse,0,32,140.847709,9,140.817500;144.266000;140.847709;140.950125;140.655417;141.417417;140.807834;140.897667;140.688000 -random,65536,524288,16,far,bucket-sparse,0,32,176.071583,9,174.404500;173.780334;176.126125;175.394916;174.731542;207.892875;177.738708;176.071583;177.683416 -random,1024,8192,64,near,bucket-sparse,0,32,0.043500,9,0.051000;0.044833;0.043958;0.044500;0.043500;0.043167;0.038750;0.043416;0.043208 -random,16384,131072,64,near,bucket-sparse,0,32,0.393292,9,0.393458;0.393208;0.394791;0.393292;0.393250;0.393375;0.395333;0.392917;0.392709 -random,65536,524288,64,near,bucket-sparse,0,32,1.488667,9,1.476667;1.489542;1.501916;1.490959;1.503042;1.488625;1.488667;1.420125;1.457042 -random,262144,2097152,16,near,bucket-sparse,0,32,1.448875,9,1.507625;1.487041;1.448875;1.448041;1.456500;1.461791;1.438708;1.408958;1.411375 -random,262144,2097152,1,none,bucket-sparse,0,32,87.025667,9,88.228625;88.995625;89.278125;86.785542;85.460000;87.117750;87.025000;86.052083;87.025667 diff --git a/dev/perf/spf_queue/results/first/time-heap-fresh-b.csv b/dev/perf/spf_queue/results/first/time-heap-fresh-b.csv deleted file mode 100644 index c7f0a9d..0000000 --- a/dev/perf/spf_queue/results/first/time-heap-fresh-b.csv +++ /dev/null @@ -1,20 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,1024,8192,1,none,heap-fresh,0,32,0.115375,9,0.135375;0.116291;0.120250;0.116500;0.113917;0.110208;0.114250;0.115084;0.115375 -random,4096,32768,256,none,heap-fresh,0,32,223.834916,9,224.898208;224.539834;224.930084;222.888125;222.325041;223.091583;221.774625;224.744125;223.834916 -random,16384,131072,64,none,heap-fresh,0,32,265.681750,9,266.057250;262.723041;265.681750;265.032292;264.191792;271.088500;266.109166;263.244750;269.137166 -random,65536,524288,1,none,heap-fresh,0,32,19.683459,9,19.345209;19.499500;20.155625;20.074083;19.409083;19.608167;19.887625;19.941041;19.683459 -random,4096,131072,64,none,heap-fresh,0,32,113.862791,9,114.006792;113.152833;113.679917;113.862791;115.032583;114.331750;113.343167;114.297083;113.528666 -clos,800,320000,64,none,heap-fresh,0,2,133.167417,9,134.150583;134.728791;135.087416;132.998625;132.928084;134.091042;133.023917;133.167417;132.971333 -grid,10000,39600,1,none,heap-fresh,0,2,0.689458,9,0.712083;0.697250;0.709292;0.689458;0.686583;0.683166;0.679958;0.682000;0.691167 -chain,2048,2047,1,none,heap-fresh,0,32,0.023542,9,0.023708;0.023750;0.023500;0.023792;0.023459;0.023458;0.023500;0.023666;0.023542 -uniform,16384,131072,64,none,heap-fresh,0,2,183.190666,9,181.771166;182.520459;184.364584;181.516292;183.190666;189.134792;183.239958;190.424542;183.068458 -random_masked,16384,131072,64,none,heap-fresh,0,32,242.620042,9,243.224625;251.311000;241.052000;241.867042;242.354042;250.248167;243.503416;241.469541;242.620042 -pseudo,802,320200,64,fixed,heap-fresh,0,2,133.608041,9,134.581458;133.274083;133.141459;132.606250;134.189167;133.608041;132.927208;136.439583;135.795666 -random,1024,8192,64,far,heap-fresh,0,32,11.316167,9,11.444291;11.045375;11.190875;11.316167;11.364459;11.323000;11.470167;11.278541;11.179041 -random,16384,131072,64,far,heap-fresh,0,32,266.656375,9,266.065000;263.982750;266.656375;270.425500;269.786708;266.468000;265.333458;268.683750;271.332375 -random,65536,524288,16,far,heap-fresh,0,32,326.680791,9,329.341125;326.680791;326.758208;321.000542;335.756333;326.244750;323.910042;340.101375;324.130500 -random,1024,8192,64,near,heap-fresh,0,32,0.107708,9,0.149875;0.118667;0.100459;0.107375;0.108125;0.107708;0.102208;0.107541;0.108417 -random,16384,131072,64,near,heap-fresh,0,32,1.120875,9,1.115834;1.116750;1.131292;1.120875;1.117917;1.148708;1.117417;1.132916;1.144584 -random,65536,524288,64,near,heap-fresh,0,32,4.239500,9,4.239500;4.149917;4.355250;4.177916;4.380166;4.192875;4.372500;4.234792;4.392750 -random,262144,2097152,16,near,heap-fresh,0,32,18.921708,9,18.899709;18.846708;19.207000;18.773125;18.921708;18.525292;19.286667;19.227375;19.109542 -random,262144,2097152,1,none,heap-fresh,0,32,128.563542,9,128.563542;129.742458;130.436708;130.550250;129.716083;127.658042;128.143750;127.020417;127.533833 diff --git a/dev/perf/spf_queue/results/first/time-heap-full-b.csv b/dev/perf/spf_queue/results/first/time-heap-full-b.csv deleted file mode 100644 index ff3653c..0000000 --- a/dev/perf/spf_queue/results/first/time-heap-full-b.csv +++ /dev/null @@ -1,20 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,1024,8192,1,none,heap-full,0,32,0.118166,9,0.146458;0.119167;0.118291;0.118166;0.115708;0.110000;0.114708;0.118625;0.114792 -random,4096,32768,256,none,heap-full,0,32,225.395542,9,228.126834;225.598041;226.784417;224.466333;225.105541;223.834291;229.336083;225.395542;224.983000 -random,16384,131072,64,none,heap-full,0,32,265.663667,9,265.335083;264.208125;265.271333;265.663667;270.274833;266.530500;266.512042;265.724917;265.575583 -random,65536,524288,1,none,heap-full,0,32,19.883583,9,20.028709;19.561417;20.049292;19.653542;20.800750;19.901500;19.473959;19.149125;19.883583 -random,4096,131072,64,none,heap-full,0,32,114.433792,9,114.462042;113.903833;114.012792;113.931000;114.783792;113.315125;116.039125;115.399625;114.433792 -clos,800,320000,64,none,heap-full,0,2,135.741666,9,135.116917;134.591250;135.741666;135.747500;137.683500;134.934209;135.111292;136.439125;136.778917 -grid,10000,39600,1,none,heap-full,0,2,0.666084,9,0.686292;0.695459;0.687708;0.668750;0.666084;0.652834;0.655833;0.664750;0.651542 -chain,2048,2047,1,none,heap-full,0,32,0.024042,9,0.024125;0.024000;0.024042;0.024166;0.024000;0.024166;0.024000;0.024042;0.023917 -uniform,16384,131072,64,none,heap-full,0,2,186.434333,9,186.382125;187.959625;187.210125;186.661417;186.400625;186.434333;185.308791;186.939208;186.230500 -random_masked,16384,131072,64,none,heap-full,0,32,242.225833,9,243.238083;241.939542;240.649917;243.730625;242.225833;241.985083;242.513833;242.397167;241.178917 -pseudo,802,320200,64,fixed,heap-full,0,2,135.039292,9,136.127209;133.944250;134.869292;135.412083;135.039292;136.334667;134.849584;135.085750;134.163375 -random,1024,8192,64,far,heap-full,0,32,11.354459,9,11.433541;11.354459;11.310458;11.410833;11.384834;11.358375;11.285875;11.261625;11.155958 -random,16384,131072,64,far,heap-full,0,32,266.233750,9,270.825250;270.773958;265.282750;266.282667;266.233750;265.749042;267.558791;264.842958;266.230209 -random,65536,524288,16,far,heap-full,0,32,326.155042,9,326.112541;326.155042;324.624875;328.796792;338.246416;326.962750;329.384750;325.279000;325.245000 -random,1024,8192,64,near,heap-full,0,32,0.111833,9,0.115042;0.111333;0.112917;0.111833;0.112875;0.108791;0.112125;0.111584;0.100958 -random,16384,131072,64,near,heap-full,0,32,1.321000,9,1.307833;1.309541;1.333500;1.328000;1.316583;1.303833;1.358750;1.322084;1.321000 -random,65536,524288,64,near,heap-full,0,32,4.666167,9,4.680125;4.746792;4.687000;4.710875;4.567125;4.445833;4.520084;4.598542;4.666167 -random,262144,2097152,16,near,heap-full,0,32,4.416333,9,4.437667;4.416333;4.343000;4.427208;4.405584;4.448750;4.410709;4.395916;4.423042 -random,262144,2097152,1,none,heap-full,0,32,133.189250,9,132.078166;154.603666;138.514625;134.731917;133.189250;132.093292;133.728792;132.005875;130.611875 diff --git a/dev/perf/spf_queue/results/first/time-heap-sparse-b.csv b/dev/perf/spf_queue/results/first/time-heap-sparse-b.csv deleted file mode 100644 index e0779bf..0000000 --- a/dev/perf/spf_queue/results/first/time-heap-sparse-b.csv +++ /dev/null @@ -1,20 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,1024,8192,1,none,heap-sparse,0,32,0.117333,9,0.130291;0.124250;0.121584;0.114292;0.117333;0.118042;0.116625;0.116834;0.112292 -random,4096,32768,256,none,heap-sparse,0,32,229.792625,9,229.388833;230.305875;231.628292;230.546042;229.461750;229.950458;228.498667;229.238584;229.792625 -random,16384,131072,64,none,heap-sparse,0,32,276.181541,9,279.428708;277.561000;276.181541;275.323584;278.222333;275.489833;274.415166;276.176833;276.760000 -random,65536,524288,1,none,heap-sparse,0,32,21.996833,9,21.128708;21.069625;20.960500;21.339375;22.240083;22.326084;24.122875;22.688334;21.996833 -random,4096,131072,64,none,heap-sparse,0,32,116.661125,9,117.081084;117.246125;117.409959;116.661125;115.278166;116.601917;115.869209;116.179458;116.846666 -clos,800,320000,64,none,heap-sparse,0,2,136.225542,9,135.596375;134.843917;137.157458;136.865917;138.362334;135.601875;136.225542;136.789542;134.530292 -grid,10000,39600,1,none,heap-sparse,0,2,0.707875,9,0.731333;0.707875;0.691917;0.692833;0.686791;0.682042;0.830041;0.820875;0.843250 -chain,2048,2047,1,none,heap-sparse,0,32,0.027833,9,0.027750;0.032125;0.027833;0.030542;0.028041;0.115791;0.024167;0.023709;0.024167 -uniform,16384,131072,64,none,heap-sparse,0,2,184.445750,9,183.342291;184.445750;184.596791;183.134708;183.946209;182.170375;184.866542;185.646792;186.874458 -random_masked,16384,131072,64,none,heap-sparse,0,32,251.644875,9,250.169625;249.810584;250.236708;252.644666;254.517125;258.871958;254.390125;251.196209;251.644875 -pseudo,802,320200,64,fixed,heap-sparse,0,2,136.496834,9,136.217500;136.784500;137.803792;136.429167;136.496834;135.609042;136.616375;135.702375;138.337834 -random,1024,8192,64,far,heap-sparse,0,32,11.728833,9,11.823709;11.680708;11.769959;11.700625;11.871875;11.755625;11.670667;11.596583;11.728833 -random,16384,131072,64,far,heap-sparse,0,32,276.217541,9,276.196792;276.217541;275.599250;276.902334;277.647209;276.274125;284.605208;275.271625;274.206834 -random,65536,524288,16,far,heap-sparse,0,32,331.986958,9,339.849750;338.197000;329.244917;331.144125;331.986958;329.266792;332.546125;342.616583;330.256208 -random,1024,8192,64,near,heap-sparse,0,32,0.040208,9,0.047250;0.040208;0.040750;0.037333;0.037959;0.040042;0.040209;0.040208;0.040208 -random,16384,131072,64,near,heap-sparse,0,32,0.385916,9,0.386458;0.395208;0.403959;0.385916;0.415292;0.360208;0.351250;0.381875;0.363916 -random,65536,524288,64,near,heap-sparse,0,32,1.486333,9,1.472916;1.488500;1.480625;1.486333;1.494833;1.479833;1.481375;1.495417;1.489333 -random,262144,2097152,16,near,heap-sparse,0,32,1.460417,9,1.436792;1.463291;1.460417;1.442041;1.469333;1.442625;1.458000;1.467083;1.467917 -random,262144,2097152,1,none,heap-sparse,0,32,137.015333,9,134.901125;140.954125;143.564417;137.015333;143.781125;143.934167;136.714000;134.648500;133.846833 diff --git a/dev/perf/spf_queue/results/first/time-ref-a1.csv b/dev/perf/spf_queue/results/first/time-ref-a1.csv deleted file mode 100644 index 0b656c2..0000000 --- a/dev/perf/spf_queue/results/first/time-ref-a1.csv +++ /dev/null @@ -1,20 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,1024,8192,1,none,ref,0,32,0.100625,9,0.100084;0.100625;0.113375;0.094750;0.101875;0.115375;0.109708;0.095333;0.095792 -random,4096,32768,256,none,ref,0,32,198.718250,9,197.933375;197.190208;195.268000;199.687250;205.407833;198.453000;198.718250;199.052333;199.647459 -random,16384,131072,64,none,ref,0,32,238.755083,9,238.755083;235.413583;238.942375;237.525208;235.592584;239.616750;240.090875;240.277500;237.924625 -random,65536,524288,1,none,ref,0,32,18.375666,9,18.342500;18.308292;18.375666;18.354417;17.978417;18.898875;18.709833;21.097667;19.911959 -random,4096,131072,64,none,ref,0,32,106.741584,9,106.072083;106.741584;105.991084;107.077666;107.519958;106.421125;107.008459;107.891375;105.394958 -clos,800,320000,64,none,ref,0,2,142.105167,9,142.505333;142.222834;141.403875;142.105167;140.911792;141.648084;141.805625;142.577541;142.248125 -grid,10000,39600,1,none,ref,0,2,0.614125,9,0.629125;0.630625;0.621958;0.620959;0.614125;0.607250;0.606917;0.602959;0.603291 -chain,2048,2047,1,none,ref,0,32,0.020833,9,0.022250;0.026583;0.045542;0.021500;0.020833;0.020709;0.020750;0.020667;0.020750 -uniform,16384,131072,64,none,ref,0,2,170.249750,9,168.616459;168.656292;170.249750;170.986333;172.660916;172.197834;167.438625;171.170375;168.618917 -random_masked,16384,131072,64,none,ref,0,32,219.464666,9,216.439000;220.720375;219.626583;219.428917;221.002208;220.503125;216.853333;219.464666;219.259125 -pseudo,802,320200,64,fixed,ref,0,2,140.618958,9,140.512042;140.764125;141.042750;138.901291;140.618958;140.345292;139.922334;142.146583;142.305542 -random,1024,8192,64,far,ref,0,32,10.129084,9,10.252625;10.129084;10.263500;10.034291;9.965875;10.187417;9.917250;10.094625;10.151000 -random,16384,131072,64,far,ref,0,32,240.012083,9,239.525250;239.438250;241.082250;240.157208;242.569167;239.640250;240.012083;241.302292;238.371542 -random,65536,524288,16,far,ref,0,32,289.354125,9,292.384500;302.566458;289.184583;290.246875;288.628292;289.354125;285.801458;288.569916;289.974167 -random,1024,8192,64,near,ref,0,32,0.104666,9,0.104666;0.101875;0.102208;0.115333;0.102042;0.113416;0.112625;0.111500;0.099667 -random,16384,131072,64,near,ref,0,32,1.044334,9,0.998958;1.029041;1.039625;1.044334;1.030583;1.056791;1.046792;1.069291;1.064209 -random,65536,524288,64,near,ref,0,32,4.034208,9,3.985625;4.076125;3.991750;4.027791;4.034208;4.034833;4.035667;4.096250;4.005333 -random,262144,2097152,16,near,ref,0,32,3.871542,9,3.840209;3.836792;3.842625;3.912084;3.873375;3.898500;3.871542;3.867917;3.907875 -random,262144,2097152,1,none,ref,0,32,119.703333,9,121.781375;119.108459;118.500666;120.011333;119.737667;122.042291;119.297917;118.898958;119.703333 diff --git a/dev/perf/spf_queue/results/first/time-ref-a2.csv b/dev/perf/spf_queue/results/first/time-ref-a2.csv deleted file mode 100644 index 948912b..0000000 --- a/dev/perf/spf_queue/results/first/time-ref-a2.csv +++ /dev/null @@ -1,20 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,1024,8192,1,none,ref,0,32,0.104208,9,0.111125;0.100583;0.110625;0.105583;0.103792;0.100542;0.103708;0.106417;0.104208 -random,4096,32768,256,none,ref,0,32,205.803292,9,207.161417;204.300125;205.676917;205.803292;207.224167;205.854417;206.188916;204.471167;205.455292 -random,16384,131072,64,none,ref,0,32,245.574917,9,246.231958;250.732666;245.339292;245.376208;245.066250;245.574917;247.844667;245.871292;245.273291 -random,65536,524288,1,none,ref,0,32,19.633375,9,19.437083;18.434834;18.742708;19.423083;19.633375;20.104666;20.097833;20.449042;19.730208 -random,4096,131072,64,none,ref,0,32,109.030458,9,109.414000;108.868500;108.683666;109.278042;109.245667;109.650583;109.021959;109.030458;108.857542 -clos,800,320000,64,none,ref,0,2,143.648375,9,143.608167;143.648375;142.897167;141.598667;145.929375;145.318334;145.996750;142.662042;143.719000 -grid,10000,39600,1,none,ref,0,2,0.621917,9,0.638042;0.621250;0.621917;0.629333;0.611333;0.618750;0.617416;0.636459;0.634125 -chain,2048,2047,1,none,ref,0,32,0.020583,9,0.020625;0.020375;0.020542;0.020584;0.020708;0.020583;0.020583;0.020542;0.020584 -uniform,16384,131072,64,none,ref,0,2,175.401208,9,175.401208;174.853709;174.902833;176.983417;175.576708;175.084000;174.032000;177.454708;176.266458 -random_masked,16384,131072,64,none,ref,0,32,225.265708,9,224.450417;225.327166;224.965458;225.131000;224.263917;225.615750;226.301708;227.413958;225.265708 -pseudo,802,320200,64,fixed,ref,0,2,142.151958,9,143.465209;142.830625;142.089583;141.701500;142.102959;142.151958;143.083291;141.934459;142.653250 -random,1024,8192,64,far,ref,0,32,10.432500,9,10.424959;10.307958;10.458000;10.432500;10.516459;10.506750;10.504625;10.343583;10.309125 -random,16384,131072,64,far,ref,0,32,246.256583,9,245.007042;246.015000;246.830125;245.896333;245.123167;246.953958;247.596042;248.142625;246.256583 -random,65536,524288,16,far,ref,0,32,299.940042,9,302.783792;297.925292;312.234125;303.503083;300.796917;297.393250;299.940042;297.575833;299.894000 -random,1024,8192,64,near,ref,0,32,0.120042,9,0.133000;0.118916;0.120667;0.117375;0.129250;0.120042;0.120416;0.119792;0.118791 -random,16384,131072,64,near,ref,0,32,1.170917,9,1.152417;1.192917;1.163625;1.170917;1.172084;1.167875;1.174625;1.188250;1.153333 -random,65536,524288,64,near,ref,0,32,4.207375,9,4.285375;4.206917;4.205583;4.207375;4.201167;4.213958;4.213542;4.165792;4.244750 -random,262144,2097152,16,near,ref,0,32,3.996708,9,3.968250;4.090666;3.967375;4.077625;3.996375;3.976584;3.996708;4.000083;4.050416 -random,262144,2097152,1,none,ref,0,32,125.213500,9,129.476167;123.631583;125.867208;125.910000;125.753333;125.213500;125.165250;124.951542;121.767417 diff --git a/dev/perf/spf_queue/results/netgraph-api/a1-old.csv b/dev/perf/spf_queue/results/netgraph-api/a1-old.csv deleted file mode 100644 index 885fbf3..0000000 --- a/dev/perf/spf_queue/results/netgraph-api/a1-old.csv +++ /dev/null @@ -1,17 +0,0 @@ -workload,label,median_s,samples,checksum,samples_s -spf_full_clos_200x200,a1-old,0.164199,5,946e7cf8b5a36980,0.164200;0.163339;0.163427;0.164199;0.164551 -spf_full_grid_100x100_weighted,a1-old,0.180069,5,4c2f7751ff9a5057,0.181406;0.179029;0.180069;0.179642;0.180765 -maxflow_clos_200x200_combine,a1-old,0.047420,5,2576c34f1fd9b85e,0.047402;0.047450;0.047170;0.047846;0.047420 -maxflow_failures_clos_100x100_x100,a1-old,0.040212,5,26dc7541b17fd051,0.040212;0.040723;0.040146;0.040529;0.039536 -maxflow_grid_100x100_weighted_combine,a1-old,0.172536,5,b0453b641647871b,0.174130;0.172536;0.173179;0.172331;0.170554 -maxflow_grid_100x100_weighted_pairwise,a1-old,0.214922,5,4fc2486a01221d75,0.220338;0.213739;0.182009;0.216421;0.214922 -placement_backbone_clos,a1-old,0.070275,5,a3bbef71a61656e1,0.070098;0.070461;0.070740;0.070275;0.070173 -placement_mc_backbone_clos_x300,a1-old,0.069225,5,13b9a5f311b911a9,0.070705;0.069225;0.068087;0.069235;0.069128 -maxflow_mc_backbone_clos_x300,a1-old,0.027504,5,ac971ec1b53a4b0a,0.028031;0.027778;0.027288;0.027374;0.027504 -ksp_clos3_pairwise_k8,a1-old,0.047320,5,9bf30f2f50792fe9,0.046562;0.046913;0.047353;0.047320;0.047576 -maxflow_clos3_pod_pairs_combine,a1-old,0.169847,5,2e23a5712f361ff7,0.169803;0.168511;0.206648;0.170894;0.169847 -placement_clos3_wcmp_and_ecmp,a1-old,0.385817,5,14d7ba5534c9ce95,0.387960;0.384565;0.385817;0.387922;0.345817 -placement_clos3_failures_x20,a1-old,7.906144,5,eafa50e144281360,7.858035;7.889058;7.998602;7.906144;7.938671 -scenario_square_mesh_iter100,a1-old,0.009979,5,5046cbe45e195f6e,0.009979;0.009923;0.010203;0.009979;0.010667 -scenario_nsfnet_iter200,a1-old,0.964245,5,d966e67ffac4393c,0.964245;0.964259;0.948062;1.007654;0.961705 -scenario_backbone_clos_iter100,a1-old,0.079351,5,e904ac0839c6cac1,0.080707;0.079139;0.078732;0.081250;0.079351 diff --git a/dev/perf/spf_queue/results/netgraph-api/a2-old.csv b/dev/perf/spf_queue/results/netgraph-api/a2-old.csv deleted file mode 100644 index 5b25f39..0000000 --- a/dev/perf/spf_queue/results/netgraph-api/a2-old.csv +++ /dev/null @@ -1,17 +0,0 @@ -workload,label,median_s,samples,checksum,samples_s -spf_full_clos_200x200,a2-old,0.164252,5,946e7cf8b5a36980,0.164252;0.164089;0.163610;0.164940;0.169394 -spf_full_grid_100x100_weighted,a2-old,0.180147,5,4c2f7751ff9a5057,0.181338;0.183952;0.180147;0.178888;0.180012 -maxflow_clos_200x200_combine,a2-old,0.047663,5,2576c34f1fd9b85e,0.048326;0.048074;0.047356;0.047663;0.047493 -maxflow_failures_clos_100x100_x100,a2-old,0.040527,5,26dc7541b17fd051,0.040527;0.040400;0.040282;0.040551;0.040915 -maxflow_grid_100x100_weighted_combine,a2-old,0.173642,5,b0453b641647871b,0.173692;0.171167;0.170759;0.174903;0.173642 -maxflow_grid_100x100_weighted_pairwise,a2-old,0.220239,5,4fc2486a01221d75,0.220239;0.216990;0.185458;0.222288;0.221898 -placement_backbone_clos,a2-old,0.070354,5,a3bbef71a61656e1,0.071010;0.070354;0.071020;0.070158;0.069685 -placement_mc_backbone_clos_x300,a2-old,0.069533,5,13b9a5f311b911a9,0.070353;0.070167;0.069416;0.069204;0.069533 -maxflow_mc_backbone_clos_x300,a2-old,0.027473,5,ac971ec1b53a4b0a,0.028459;0.027473;0.028129;0.027393;0.027454 -ksp_clos3_pairwise_k8,a2-old,0.046714,5,9bf30f2f50792fe9,0.046218;0.046637;0.046996;0.047152;0.046714 -maxflow_clos3_pod_pairs_combine,a2-old,0.170560,5,2e23a5712f361ff7,0.168721;0.170560;0.207953;0.170134;0.171528 -placement_clos3_wcmp_and_ecmp,a2-old,0.388207,5,14d7ba5534c9ce95,0.392023;0.388207;0.384011;0.395217;0.342003 -placement_clos3_failures_x20,a2-old,7.890882,5,eafa50e144281360,7.823005;7.897283;7.948790;7.803927;7.890882 -scenario_square_mesh_iter100,a2-old,0.010269,5,5046cbe45e195f6e,0.010292;0.010212;0.010466;0.010269;0.010108 -scenario_nsfnet_iter200,a2-old,0.959533,5,d966e67ffac4393c,0.963123;0.959533;0.955776;1.009108;0.953370 -scenario_backbone_clos_iter100,a2-old,0.080060,5,e904ac0839c6cac1,0.080287;0.078875;0.080223;0.079661;0.080060 diff --git a/dev/perf/spf_queue/results/netgraph-api/b-new-heap.csv b/dev/perf/spf_queue/results/netgraph-api/b-new-heap.csv deleted file mode 100644 index aace29a..0000000 --- a/dev/perf/spf_queue/results/netgraph-api/b-new-heap.csv +++ /dev/null @@ -1,17 +0,0 @@ -workload,label,median_s,samples,checksum,samples_s -spf_full_clos_200x200,b-new-heap,0.154301,5,946e7cf8b5a36980,0.154292;0.153986;0.156239;0.155807;0.154301 -spf_full_grid_100x100_weighted,b-new-heap,0.241783,5,4c2f7751ff9a5057,0.241890;0.241332;0.241625;0.241783;0.242557 -maxflow_clos_200x200_combine,b-new-heap,0.045705,5,2576c34f1fd9b85e,0.045888;0.045705;0.045257;0.045775;0.045253 -maxflow_failures_clos_100x100_x100,b-new-heap,0.037736,5,26dc7541b17fd051,0.037736;0.037922;0.037631;0.037622;0.037749 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-placement_clos3_failures_x20,b-new-heap,7.783453,5,eafa50e144281360,7.757524;7.783453;7.861714;7.729196;7.797888 -scenario_square_mesh_iter100,b-new-heap,0.010213,5,5046cbe45e195f6e,0.009939;0.010215;0.010081;0.010415;0.010213 -scenario_nsfnet_iter200,b-new-heap,0.947496,5,d966e67ffac4393c,0.952279;0.947496;0.933890;0.984148;0.935582 -scenario_backbone_clos_iter100,b-new-heap,0.081325,5,e904ac0839c6cac1,0.081325;0.081223;0.082362;0.082170;0.080886 diff --git a/dev/perf/spf_queue/results/netgraph-api/b-new.csv b/dev/perf/spf_queue/results/netgraph-api/b-new.csv deleted file mode 100644 index 4c97086..0000000 --- a/dev/perf/spf_queue/results/netgraph-api/b-new.csv +++ /dev/null @@ -1,17 +0,0 @@ -workload,label,median_s,samples,checksum,samples_s -spf_full_clos_200x200,b-new,0.157989,5,946e7cf8b5a36980,0.158181;0.157301;0.157989;0.157473;0.158350 -spf_full_grid_100x100_weighted,b-new,0.180796,5,4c2f7751ff9a5057,0.180796;0.181414;0.180503;0.182915;0.180604 -maxflow_clos_200x200_combine,b-new,0.045661,5,2576c34f1fd9b85e,0.046378;0.045917;0.045661;0.045093;0.045019 -maxflow_failures_clos_100x100_x100,b-new,0.038526,5,26dc7541b17fd051,0.038590;0.038414;0.038400;0.038529;0.038526 -maxflow_grid_100x100_weighted_combine,b-new,0.171153,5,b0453b641647871b,0.172839;0.173989;0.170848;0.169668;0.171153 -maxflow_grid_100x100_weighted_pairwise,b-new,0.218760,5,4fc2486a01221d75,0.222728;0.217684;0.183078;0.218760;0.220241 -placement_backbone_clos,b-new,0.069585,5,a3bbef71a61656e1,0.069335;0.070424;0.069104;0.070529;0.069585 -placement_mc_backbone_clos_x300,b-new,0.068743,5,13b9a5f311b911a9,0.068743;0.069898;0.067806;0.067056;0.068923 -maxflow_mc_backbone_clos_x300,b-new,0.027577,5,ac971ec1b53a4b0a,0.027735;0.027662;0.027234;0.027577;0.027326 -ksp_clos3_pairwise_k8,b-new,0.044595,5,9bf30f2f50792fe9,0.044767;0.044511;0.045780;0.044129;0.044595 -maxflow_clos3_pod_pairs_combine,b-new,0.170686,5,2e23a5712f361ff7,0.169656;0.171535;0.205557;0.170686;0.170334 -placement_clos3_wcmp_and_ecmp,b-new,0.382645,5,14d7ba5534c9ce95,0.390539;0.383919;0.382645;0.381250;0.344172 -placement_clos3_failures_x20,b-new,7.832697,5,eafa50e144281360,7.797490;7.832697;7.863150;7.782276;7.885314 -scenario_square_mesh_iter100,b-new,0.010150,5,5046cbe45e195f6e,0.010457;0.010075;0.010150;0.010102;0.010323 -scenario_nsfnet_iter200,b-new,0.950681,5,d966e67ffac4393c,0.964545;0.950681;0.944029;0.992850;0.947637 -scenario_backbone_clos_iter100,b-new,0.079879,5,e904ac0839c6cac1,0.080338;0.079758;0.081120;0.079879;0.079752 diff --git a/dev/perf/spf_queue/results/netgraph-api/environment.txt b/dev/perf/spf_queue/results/netgraph-api/environment.txt deleted file mode 100644 index db978f6..0000000 --- a/dev/perf/spf_queue/results/netgraph-api/environment.txt +++ /dev/null @@ -1,8 +0,0 @@ -date: 2026-10-02T18:15:33Z -new: d5717cced8a4451258f114d8e78d67ab0dc14248 (dirty: 29 paths) -old: d5717cced8a4451258f114d8e78d67ab0dc14248 -netgraph: 33fadebf7fe05985cc70647fc422287afaa3221c -dd3b394c0ba16f7ed0e0e403188f4fcc38dbd9ce2cf594368d2b2a8a19a105a0 dev/perf/spf_queue/bench_netgraph.py -be97554943acc1301b21dfb4b12d1a8603de1f8017b843243902ef09c8e6b981 /Users/networmix/ws/NetGraph-Core/venv/lib/python3.14/site-packages/_netgraph_core.cpython-314-darwin.so -9d684e1280714cd8d4b275c418b34cf936e0b340243612bfab40913bbe60610c /Users/networmix/ws/NetGraph-Core-main/venv/lib/python3.14/site-packages/_netgraph_core.cpython-314-darwin.so -Apple M4 Max diff --git a/dev/perf/spf_queue/results/netgraph-api/load.txt b/dev/perf/spf_queue/results/netgraph-api/load.txt deleted file mode 100644 index c657a0f..0000000 --- a/dev/perf/spf_queue/results/netgraph-api/load.txt +++ /dev/null @@ -1,5 +0,0 @@ -19:15 up 52 days, 23:51, 3 users, load averages: 4.90 9.98 17.60 -19:16 up 52 days, 23:52, 3 users, load averages: 5.13 9.03 16.68 -19:17 up 52 days, 23:53, 3 users, load averages: 4.07 8.05 15.79 -19:18 up 52 days, 23:54, 3 users, load averages: 5.16 7.58 15.05 -19:19 up 52 days, 23:55, 3 users, load averages: 4.97 7.09 14.35 diff --git a/dev/perf/spf_queue/results/netgraph/a1-old.csv b/dev/perf/spf_queue/results/netgraph/a1-old.csv deleted file mode 100644 index ca2a577..0000000 --- a/dev/perf/spf_queue/results/netgraph/a1-old.csv +++ /dev/null @@ -1,17 +0,0 @@ -workload,label,median_s,samples,checksum,samples_s -spf_full_clos_200x200,a1-old,0.214242,5,946e7cf8b5a36980,0.215061;0.216031;0.213735;0.214242;0.212930 -spf_full_grid_100x100_weighted,a1-old,0.220778,5,4c2f7751ff9a5057,0.220560;0.220778;0.220257;0.221003;0.221978 -maxflow_clos_200x200_combine,a1-old,0.052564,5,2576c34f1fd9b85e,0.053311;0.053040;0.052564;0.052143;0.051846 -maxflow_failures_clos_100x100_x100,a1-old,0.044261,5,26dc7541b17fd051,0.044064;0.044782;0.044379;0.043525;0.044261 -maxflow_grid_100x100_weighted_combine,a1-old,0.202941,5,b0453b641647871b,0.202895;0.206061;0.205235;0.202941;0.202883 -maxflow_grid_100x100_weighted_pairwise,a1-old,0.203949,5,4fc2486a01221d75,0.205356;0.205253;0.172211;0.203949;0.200981 -placement_backbone_clos,a1-old,0.069218,5,a3bbef71a61656e1,0.069218;0.067452;0.067574;0.070175;0.071420 -placement_mc_backbone_clos_x300,a1-old,0.074473,5,13b9a5f311b911a9,0.077150;0.074793;0.073446;0.074473;0.073984 -maxflow_mc_backbone_clos_x300,a1-old,0.029282,5,ac971ec1b53a4b0a,0.029265;0.029166;0.029931;0.029314;0.029282 -ksp_clos3_pairwise_k8,a1-old,0.054646,5,9bf30f2f50792fe9,0.053493;0.053920;0.056333;0.054646;0.056298 -maxflow_clos3_pod_pairs_combine,a1-old,0.167483,5,2e23a5712f361ff7,0.167694;0.167483;0.197351;0.162379;0.163569 -placement_clos3_wcmp_and_ecmp,a1-old,0.366377,5,14d7ba5534c9ce95,0.370620;0.366377;0.372593;0.365110;0.333473 -placement_clos3_failures_x20,a1-old,7.646194,5,eafa50e144281360,7.614464;7.688954;7.711631;7.610305;7.646194 -scenario_square_mesh_iter100,a1-old,0.010309,5,5046cbe45e195f6e,0.009954;0.010309;0.010277;0.010874;0.010464 -scenario_nsfnet_iter200,a1-old,0.958151,5,d966e67ffac4393c,0.965309;0.958151;0.947347;0.993366;0.944487 -scenario_backbone_clos_iter100,a1-old,0.082340,5,e904ac0839c6cac1,0.082945;0.084257;0.082340;0.081514;0.082249 diff --git a/dev/perf/spf_queue/results/netgraph/a2-old.csv b/dev/perf/spf_queue/results/netgraph/a2-old.csv deleted file mode 100644 index 08b21fd..0000000 --- a/dev/perf/spf_queue/results/netgraph/a2-old.csv +++ /dev/null @@ -1,17 +0,0 @@ -workload,label,median_s,samples,checksum,samples_s -spf_full_clos_200x200,a2-old,0.212650,5,946e7cf8b5a36980,0.213604;0.213158;0.212128;0.212650;0.211883 -spf_full_grid_100x100_weighted,a2-old,0.220314,5,4c2f7751ff9a5057,0.219253;0.221249;0.220314;0.222180;0.219875 -maxflow_clos_200x200_combine,a2-old,0.051853,5,2576c34f1fd9b85e,0.052104;0.051853;0.052154;0.051545;0.051553 -maxflow_failures_clos_100x100_x100,a2-old,0.043021,5,26dc7541b17fd051,0.043132;0.043212;0.042954;0.042811;0.043021 -maxflow_grid_100x100_weighted_combine,a2-old,0.202080,5,b0453b641647871b,0.203003;0.202080;0.202227;0.202046;0.201641 -maxflow_grid_100x100_weighted_pairwise,a2-old,0.200578,5,4fc2486a01221d75,0.202322;0.200159;0.177585;0.204723;0.200578 -placement_backbone_clos,a2-old,0.067439,5,a3bbef71a61656e1,0.067937;0.067139;0.067662;0.067130;0.067439 -placement_mc_backbone_clos_x300,a2-old,0.075278,5,13b9a5f311b911a9,0.075415;0.074549;0.074713;0.075430;0.075278 -maxflow_mc_backbone_clos_x300,a2-old,0.029137,5,ac971ec1b53a4b0a,0.029212;0.029137;0.029388;0.029131;0.029046 -ksp_clos3_pairwise_k8,a2-old,0.053399,5,9bf30f2f50792fe9,0.053732;0.053322;0.054482;0.053399;0.053396 -maxflow_clos3_pod_pairs_combine,a2-old,0.166107,5,2e23a5712f361ff7,0.161893;0.166107;0.198977;0.167306;0.163009 -placement_clos3_wcmp_and_ecmp,a2-old,0.363318,5,14d7ba5534c9ce95,0.362654;0.363394;0.363318;0.363318;0.330417 -placement_clos3_failures_x20,a2-old,7.547826,5,eafa50e144281360,7.463701;7.512790;7.602702;7.609344;7.547826 -scenario_square_mesh_iter100,a2-old,0.010336,5,5046cbe45e195f6e,0.009918;0.010012;0.010376;0.010627;0.010336 -scenario_nsfnet_iter200,a2-old,0.939100,5,d966e67ffac4393c,0.945634;0.934857;0.927139;0.974911;0.939100 -scenario_backbone_clos_iter100,a2-old,0.081112,5,e904ac0839c6cac1,0.082197;0.081385;0.081112;0.080830;0.080991 diff --git a/dev/perf/spf_queue/results/netgraph/b-new-heap.csv b/dev/perf/spf_queue/results/netgraph/b-new-heap.csv deleted file mode 100644 index 7345cd3..0000000 --- a/dev/perf/spf_queue/results/netgraph/b-new-heap.csv +++ /dev/null @@ -1,17 +0,0 @@ -workload,label,median_s,samples,checksum,samples_s -spf_full_clos_200x200,b-new-heap,0.164632,5,946e7cf8b5a36980,0.171094;0.163302;0.164001;0.164632;0.165386 -spf_full_grid_100x100_weighted,b-new-heap,0.245422,5,4c2f7751ff9a5057,0.245311;0.244615;0.246294;0.245422;0.247913 -maxflow_clos_200x200_combine,b-new-heap,0.046796,5,2576c34f1fd9b85e,0.046604;0.046809;0.046796;0.046520;0.047011 -maxflow_failures_clos_100x100_x100,b-new-heap,0.039282,5,26dc7541b17fd051,0.039282;0.040234;0.038893;0.039675;0.038654 -maxflow_grid_100x100_weighted_combine,b-new-heap,0.219054,5,b0453b641647871b,0.217967;0.219054;0.218718;0.224953;0.221065 -maxflow_grid_100x100_weighted_pairwise,b-new-heap,0.212886,5,4fc2486a01221d75,0.212886;0.220461;0.186507;0.211249;0.216741 -placement_backbone_clos,b-new-heap,0.068715,5,a3bbef71a61656e1,0.068128;0.067605;0.072257;0.071829;0.068715 -placement_mc_backbone_clos_x300,b-new-heap,0.071399,5,13b9a5f311b911a9,0.072645;0.071349;0.071399;0.071738;0.070936 -maxflow_mc_backbone_clos_x300,b-new-heap,0.029019,5,ac971ec1b53a4b0a,0.029019;0.028594;0.028178;0.029278;0.031190 -ksp_clos3_pairwise_k8,b-new-heap,0.046233,5,9bf30f2f50792fe9,0.046716;0.046282;0.046233;0.045945;0.045440 -maxflow_clos3_pod_pairs_combine,b-new-heap,0.171827,5,2e23a5712f361ff7,0.171827;0.174949;0.201334;0.167000;0.164015 -placement_clos3_wcmp_and_ecmp,b-new-heap,0.368871,5,14d7ba5534c9ce95,0.368871;0.363981;0.374026;0.375693;0.334427 -placement_clos3_failures_x20,b-new-heap,7.570639,5,eafa50e144281360,7.638405;7.570639;7.578404;7.479565;7.433718 -scenario_square_mesh_iter100,b-new-heap,0.009861,5,5046cbe45e195f6e,0.009619;0.009698;0.009861;0.009916;0.009878 -scenario_nsfnet_iter200,b-new-heap,0.912169,5,d966e67ffac4393c,0.918451;0.912169;0.909963;0.962305;0.906028 -scenario_backbone_clos_iter100,b-new-heap,0.077625,5,e904ac0839c6cac1,0.077511;0.077981;0.077051;0.078228;0.077625 diff --git a/dev/perf/spf_queue/results/netgraph/b-new.csv b/dev/perf/spf_queue/results/netgraph/b-new.csv deleted file mode 100644 index 335acf4..0000000 --- a/dev/perf/spf_queue/results/netgraph/b-new.csv +++ /dev/null @@ -1,17 +0,0 @@ -workload,label,median_s,samples,checksum,samples_s -spf_full_clos_200x200,b-new,0.163387,5,946e7cf8b5a36980,0.163696;0.163391;0.163122;0.163197;0.163387 -spf_full_grid_100x100_weighted,b-new,0.181652,5,4c2f7751ff9a5057,0.181652;0.182234;0.180117;0.180609;0.181705 -maxflow_clos_200x200_combine,b-new,0.047118,5,2576c34f1fd9b85e,0.047558;0.046946;0.047023;0.047830;0.047118 -maxflow_failures_clos_100x100_x100,b-new,0.040410,5,26dc7541b17fd051,0.040004;0.040410;0.040879;0.040360;0.040449 -maxflow_grid_100x100_weighted_combine,b-new,0.174551,5,b0453b641647871b,0.177566;0.174597;0.174551;0.170893;0.173684 -maxflow_grid_100x100_weighted_pairwise,b-new,0.208183,5,4fc2486a01221d75,0.211970;0.206165;0.176239;0.208183;0.208189 -placement_backbone_clos,b-new,0.069022,5,a3bbef71a61656e1,0.069022;0.069117;0.067956;0.067765;0.072885 -placement_mc_backbone_clos_x300,b-new,0.067803,5,13b9a5f311b911a9,0.069155;0.067885;0.067111;0.066996;0.067803 -maxflow_mc_backbone_clos_x300,b-new,0.027553,5,ac971ec1b53a4b0a,0.028108;0.027674;0.027451;0.027553;0.027179 -ksp_clos3_pairwise_k8,b-new,0.046303,5,9bf30f2f50792fe9,0.046303;0.045928;0.047188;0.046233;0.046584 -maxflow_clos3_pod_pairs_combine,b-new,0.168243,5,2e23a5712f361ff7,0.167244;0.168132;0.199066;0.168243;0.172598 -placement_clos3_wcmp_and_ecmp,b-new,0.376317,5,14d7ba5534c9ce95,0.378218;0.372257;0.377731;0.376317;0.338946 -placement_clos3_failures_x20,b-new,7.639934,5,eafa50e144281360,7.639045;7.660284;7.732032;7.616304;7.639934 -scenario_square_mesh_iter100,b-new,0.009892,5,5046cbe45e195f6e,0.009892;0.009624;0.009909;0.009814;0.010528 -scenario_nsfnet_iter200,b-new,0.929637,5,d966e67ffac4393c,0.939539;0.929637;0.925644;0.978736;0.926841 -scenario_backbone_clos_iter100,b-new,0.078271,5,e904ac0839c6cac1,0.078327;0.078636;0.078104;0.077679;0.078271 diff --git a/dev/perf/spf_queue/results/netgraph/environment.txt b/dev/perf/spf_queue/results/netgraph/environment.txt deleted file mode 100644 index 014b006..0000000 --- a/dev/perf/spf_queue/results/netgraph/environment.txt +++ /dev/null @@ -1,8 +0,0 @@ -date: 2026-10-02T01:56:58Z -new: fbab119e794c843838f4f3f96d75cb7f32f06845 (dirty: 14 paths) -old: fbab119e794c843838f4f3f96d75cb7f32f06845 -netgraph: 775530768eec3951b7aec738f7e99d1abb6b7efc -dd3b394c0ba16f7ed0e0e403188f4fcc38dbd9ce2cf594368d2b2a8a19a105a0 dev/perf/spf_queue/bench_netgraph.py -9d684e1280714cd8d4b275c418b34cf936e0b340243612bfab40913bbe60610c /Users/networmix/ws/NetGraph-Core/venv/lib/python3.14/site-packages/_netgraph_core.cpython-314-darwin.so -91dc3b7e2bd3611d54d762e0fb1f875881138d66843866990f019cddfec5cc2c /Users/networmix/ws/NetGraph-Core-main/venv/lib/python3.14/site-packages/_netgraph_core.cpython-314-darwin.so -Apple M4 Max diff --git a/dev/perf/spf_queue/results/netgraph/hashseed-determinism.txt b/dev/perf/spf_queue/results/netgraph/hashseed-determinism.txt deleted file mode 100644 index 2f2a1e1..0000000 --- a/dev/perf/spf_queue/results/netgraph/hashseed-determinism.txt +++ /dev/null @@ -1,9 +0,0 @@ -new maxflow_mc_backbone_clos_x300 ac971ec1b53a4b0a -old1 maxflow_mc_backbone_clos_x300 ac971ec1b53a4b0a -old2 maxflow_mc_backbone_clos_x300 ac971ec1b53a4b0a -new placement_mc_backbone_clos_x300 13b9a5f311b911a9 -old1 placement_mc_backbone_clos_x300 13b9a5f311b911a9 -old2 placement_mc_backbone_clos_x300 13b9a5f311b911a9 -new scenario_backbone_clos_iter100 e904ac0839c6cac1 -old1 scenario_backbone_clos_iter100 e904ac0839c6cac1 -old2 scenario_backbone_clos_iter100 e904ac0839c6cac1 diff --git a/dev/perf/spf_queue/results/netgraph/load.txt b/dev/perf/spf_queue/results/netgraph/load.txt deleted file mode 100644 index 8adfc14..0000000 --- a/dev/perf/spf_queue/results/netgraph/load.txt +++ /dev/null @@ -1,5 +0,0 @@ - 2:56 up 52 days, 7:32, 3 users, load averages: 3.81 4.06 3.70 - 2:58 up 52 days, 7:33, 3 users, load averages: 5.32 4.48 3.88 - 2:59 up 52 days, 7:34, 3 users, load averages: 4.18 4.30 3.85 - 3:00 up 52 days, 7:35, 3 users, load averages: 4.64 4.42 3.93 - 3:01 up 52 days, 7:36, 3 users, load averages: 3.82 4.20 3.87 diff --git a/dev/perf/spf_queue/results/priority/a1-old.csv b/dev/perf/spf_queue/results/priority/a1-old.csv deleted file mode 100644 index 065c3ab..0000000 --- a/dev/perf/spf_queue/results/priority/a1-old.csv +++ /dev/null @@ -1,11 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,16384,131072,64,none,ref,0,32,149.947042,7,148.096291;146.522667;164.538958;170.384166;168.072167;147.836833;149.947042 -random,65536,524288,1,none,ref,0,32,14.036084,7,14.626750;16.255041;13.739958;14.972333;13.566417;13.306292;14.036084 -clos,800,320000,64,none,ref,0,2,108.680541,7,109.401542;108.082334;108.293334;110.645417;109.045250;108.680541;108.196625 -chain,2048,2047,1,none,ref,0,32,0.029709,7,0.030458;0.029709;0.029875;0.029833;0.029375;0.029209;0.026541 -random,16384,131072,64,near,ref,0,32,0.394292,7,0.392916;0.396292;0.394292;0.393292;0.393416;0.411791;0.408000 -random,65536,524288,64,near,ref,0,32,1.513084,7,1.513084;1.514875;1.520500;1.531958;1.490333;1.493584;1.503292 -random,262144,2097152,16,near,ref,0,32,1.475125,7,1.464167;1.463459;1.468833;1.475125;1.486791;1.477875;1.503500 -random,262144,2097152,1,none,ref,0,32,91.345667,7,91.712708;91.345667;91.229959;88.957541;93.626250;92.104708;90.893166 -random,4096,32768,64,reverse,ref,0,32,34.358542,7,33.641125;33.889917;34.118042;34.358542;35.146875;35.473083;34.650833 -clos,800,320000,16,reverse,ref,0,2,37.327792,7,37.838500;36.963750;36.841042;37.327792;37.318583;37.761125;38.013791 diff --git a/dev/perf/spf_queue/results/priority/a2-old.csv b/dev/perf/spf_queue/results/priority/a2-old.csv deleted file mode 100644 index 75b9513..0000000 --- a/dev/perf/spf_queue/results/priority/a2-old.csv +++ /dev/null @@ -1,11 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,16384,131072,64,none,ref,0,32,148.279417,7,148.184917;153.213083;148.147000;148.114083;149.098542;150.540208;148.279417 -random,65536,524288,1,none,ref,0,32,12.526334,7,13.445667;13.420208;13.369916;11.817458;12.019041;12.369042;12.526334 -clos,800,320000,64,none,ref,0,2,108.296291,7,108.092833;107.961917;109.981458;111.156125;108.413750;108.062584;108.296291 -chain,2048,2047,1,none,ref,0,32,0.026500,7,0.025875;0.025958;0.026334;0.026500;0.028834;0.029125;0.028750 -random,16384,131072,64,near,ref,0,32,0.405958,7,0.401833;0.409375;0.393375;0.421708;0.394041;0.405958;0.422333 -random,65536,524288,64,near,ref,0,32,1.511792,7,1.504083;1.570667;1.511792;1.529917;1.506250;1.516625;1.490667 -random,262144,2097152,16,near,ref,0,32,1.465083,7,1.449375;1.456542;1.473583;1.465083;1.481459;1.499750;1.449583 -random,262144,2097152,1,none,ref,0,32,91.408000,7,89.104458;92.220833;93.374208;92.226583;89.439250;91.408000;88.846250 -random,4096,32768,64,reverse,ref,0,32,34.143500,7,34.236500;34.307791;34.026709;33.957084;34.143500;34.224667;33.820292 -clos,800,320000,16,reverse,ref,0,2,37.667583,7,37.375000;38.367917;38.190458;37.667583;37.762083;36.788125;36.170958 diff --git a/dev/perf/spf_queue/results/priority/b-new-capacity.csv b/dev/perf/spf_queue/results/priority/b-new-capacity.csv deleted file mode 100644 index 9682476..0000000 --- a/dev/perf/spf_queue/results/priority/b-new-capacity.csv +++ /dev/null @@ -1,11 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,16384,131072,64,none,ref,0,32,151.414958,7,151.624500;150.795833;156.696459;149.771292;149.438541;152.103750;151.414958 -random,65536,524288,1,none,ref,0,32,13.349125,7,12.904959;14.485500;14.418417;13.398958;13.349125;13.241584;12.693167 -clos,800,320000,64,none,ref,0,2,55.644000,7,56.308125;56.209333;55.583083;55.285958;55.671083;55.644000;55.416084 -chain,2048,2047,1,none,ref,0,32,0.026625,7,0.026791;0.026125;0.026625;0.026375;0.026666;0.026167;0.026667 -random,16384,131072,64,near,ref,0,32,0.394917,7,0.414792;0.393667;0.399500;0.397209;0.394000;0.394292;0.394917 -random,65536,524288,64,near,ref,0,32,1.507209,7,1.512250;1.507209;1.497959;1.404750;1.510208;1.500500;1.523250 -random,262144,2097152,16,near,ref,0,32,1.476625,7,1.493833;1.472417;1.452833;1.515292;1.476625;1.449916;1.496917 -random,262144,2097152,1,none,ref,0,32,93.582083,7,93.134083;92.153500;99.965167;103.025542;94.254500;93.268208;93.582083 -random,4096,32768,64,reverse,ref,0,32,35.378500,7,36.071667;35.307708;35.378500;35.161625;35.456250;35.369500;35.790583 -clos,800,320000,16,reverse,ref,0,2,18.969208,7,19.031709;18.969208;18.642166;18.671083;18.642459;19.099584;19.787417 diff --git a/dev/perf/spf_queue/results/priority/b-new-headroom.csv b/dev/perf/spf_queue/results/priority/b-new-headroom.csv deleted file mode 100644 index b7e3068..0000000 --- a/dev/perf/spf_queue/results/priority/b-new-headroom.csv +++ /dev/null @@ -1,11 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,16384,131072,64,none,ref,0,32,146.796625,7,145.908792;146.796625;144.728250;144.656834;147.028583;150.304333;147.094459 -random,65536,524288,1,none,ref,0,32,12.153208,7,11.960625;12.153208;12.526166;11.373416;11.399250;12.413167;14.555958 -clos,800,320000,64,none,ref,0,2,53.643875,7,53.569250;53.643875;53.827125;53.712458;53.620333;53.635208;54.391542 -chain,2048,2047,1,none,ref,0,32,0.029000,7,0.028667;0.029000;0.028667;0.028833;0.031875;0.031667;0.029542 -random,16384,131072,64,near,ref,0,32,0.391958,7,0.384208;0.380708;0.409042;0.391958;0.389500;0.399166;0.399667 -random,65536,524288,64,near,ref,0,32,1.518458,7,1.518458;1.544708;1.665042;1.463750;1.537667;1.509084;1.510625 -random,262144,2097152,16,near,ref,0,32,1.469083,7,1.502083;1.467167;1.469083;1.480875;1.467584;1.508083;1.463042 -random,262144,2097152,1,none,ref,0,32,74.176667,7,74.176083;74.533000;74.875209;75.312667;74.176667;73.903292;73.634333 -random,4096,32768,64,reverse,ref,0,32,34.583708,7,34.863042;35.064666;34.825333;34.549792;34.583708;34.488125;34.552875 -clos,800,320000,16,reverse,ref,0,2,17.343000,7,17.329250;17.511542;17.439958;17.322833;17.687459;17.190833;17.343000 diff --git a/dev/perf/spf_queue/results/priority/b-new-residual-single.csv b/dev/perf/spf_queue/results/priority/b-new-residual-single.csv deleted file mode 100644 index 513f8c9..0000000 --- a/dev/perf/spf_queue/results/priority/b-new-residual-single.csv +++ /dev/null @@ -1,11 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,16384,131072,64,none,ref,0,32,147.487417,7,147.317250;147.268583;147.801167;147.176166;147.487417;148.155750;149.413417 -random,65536,524288,1,none,ref,0,32,11.326166,7,11.819458;12.234750;11.800084;10.985958;11.052417;11.079250;11.326166 -clos,800,320000,64,none,ref,0,2,54.487083,7,54.487083;54.215458;54.391500;55.709875;55.749041;54.909458;53.593959 -chain,2048,2047,1,none,ref,0,32,0.027667,7,0.027459;0.027458;0.027375;0.030750;0.032917;0.027667;0.042333 -random,16384,131072,64,near,ref,0,32,0.393666,7,0.398708;0.394875;0.418917;0.389875;0.393666;0.389583;0.388291 -random,65536,524288,64,near,ref,0,32,1.546584,7,1.612292;1.560833;1.556750;1.543833;1.539750;1.469000;1.546584 -random,262144,2097152,16,near,ref,0,32,1.451500,7,1.404000;1.479292;1.451500;1.453292;1.521333;1.432792;1.447250 -random,262144,2097152,1,none,ref,0,32,90.980209,7,91.145958;90.980209;89.013833;89.918084;94.619875;92.344875;90.443500 -random,4096,32768,64,reverse,ref,0,32,34.809083,7,35.012083;34.426667;34.760625;34.992375;34.809083;35.228750;34.739417 -clos,800,320000,16,reverse,ref,0,2,16.962417,7,16.856250;16.830958;16.741042;16.962417;16.981292;17.517209;17.196833 diff --git a/dev/perf/spf_queue/results/priority/b-new.csv b/dev/perf/spf_queue/results/priority/b-new.csv deleted file mode 100644 index e565dcc..0000000 --- a/dev/perf/spf_queue/results/priority/b-new.csv +++ /dev/null @@ -1,11 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,16384,131072,64,none,ref,0,32,144.942292,7,144.519542;145.649625;143.703583;144.353833;146.777459;145.086292;144.942292 -random,65536,524288,1,none,ref,0,32,11.476084,7,11.089792;11.476084;12.379958;12.141416;11.163583;11.282458;12.805625 -clos,800,320000,64,none,ref,0,2,103.054334,7,102.478542;103.054334;103.844792;102.837041;102.534541;104.274334;103.562792 -chain,2048,2047,1,none,ref,0,32,0.026333,7,0.026208;0.026208;0.026333;0.026917;0.030417;0.026208;0.026375 -random,16384,131072,64,near,ref,0,32,0.401375,7,0.409125;0.369000;0.401375;0.388167;0.393292;0.423291;0.404333 -random,65536,524288,64,near,ref,0,32,1.526208,7,1.508333;1.530334;1.526208;1.530458;1.518584;1.551291;1.520959 -random,262144,2097152,16,near,ref,0,32,1.478416,7,1.457625;1.478416;1.459708;1.477666;1.564958;1.481375;1.547083 -random,262144,2097152,1,none,ref,0,32,88.424125,7,86.749000;91.559250;92.226208;89.160375;88.424125;86.360209;87.833709 -random,4096,32768,64,reverse,ref,0,32,34.549417,7,35.338417;35.121542;34.662875;34.200791;34.330667;34.455125;34.549417 -clos,800,320000,16,reverse,ref,0,2,38.633208,7,37.534500;38.848417;39.507667;39.273625;38.633208;36.195500;37.918709 diff --git a/dev/perf/spf_queue/results/priority/environment.txt b/dev/perf/spf_queue/results/priority/environment.txt deleted file mode 100644 index 441cf03..0000000 --- a/dev/perf/spf_queue/results/priority/environment.txt +++ /dev/null @@ -1,6 +0,0 @@ -date: 2026-10-02T17:38:30Z -old: d5717cc (0.11.0) via build.sh old d5717cc; new: working tree with EdgeSelection::priority -phases: a1-old, b-new (default priority), b-new-residual-single (single-path, PreferHigherResidual, priority=Residual), b-new-capacity, b-new-headroom, a2-old; short mode, 7 samples -382f443bfde62bc56871d5335af9dc23ddc307a838b0624368217127c78fa499 src/shortest_paths.cpp -5499dbbdb66f7f63ad6c97f5718d0205c4f2f05992b60f4822a2ddcd5461f5d3 build/perf/cpu-queue -7de733ce4ec111c3414e2b262b6063a253b5cd790e4beceab893d802f0c5bf6a build/perf/cpu-queue-old diff --git a/dev/perf/spf_queue/results/priority/load.txt b/dev/perf/spf_queue/results/priority/load.txt deleted file mode 100644 index 6c26122..0000000 --- a/dev/perf/spf_queue/results/priority/load.txt +++ /dev/null @@ -1,5 +0,0 @@ -18:36 up 52 days, 23:12, 3 users, load averages: 13.67 8.95 6.69 -18:36 up 52 days, 23:12, 3 users, load averages: 13.05 8.90 6.69 -18:36 up 52 days, 23:12, 3 users, load averages: 12.09 8.77 6.65 -18:37 up 52 days, 23:12, 3 users, load averages: 10.86 8.61 6.62 -18:37 up 52 days, 23:12, 3 users, load averages: 10.07 8.49 6.59 diff --git a/dev/perf/spf_queue/results/short/environment.txt b/dev/perf/spf_queue/results/short/environment.txt deleted file mode 100644 index 65f8240..0000000 --- a/dev/perf/spf_queue/results/short/environment.txt +++ /dev/null @@ -1,3 +0,0 @@ -date: 2026-09-27T13:41:37Z -30748a1034498f6a2bd05645f72b60750f3ef366c81476fd3f87bbac93c1a381 dev/perf/spf_queue/spf_variants.hpp -cecf8edfd17c19624890ba8c6bc2fa647d7841c25baaebeaaa175712ceebf688 dev/perf/spf_queue/harness.cpp diff --git a/dev/perf/spf_queue/results/short/load.txt b/dev/perf/spf_queue/results/short/load.txt deleted file mode 100644 index 0abff49..0000000 --- a/dev/perf/spf_queue/results/short/load.txt +++ /dev/null @@ -1,8 +0,0 @@ -14:41 up 47 days, 19:17, 3 users, load averages: 3.46 3.26 3.16 -14:41 up 47 days, 19:17, 3 users, load averages: 3.34 3.23 3.15 -14:41 up 47 days, 19:17, 3 users, load averages: 3.23 3.21 3.14 -14:41 up 47 days, 19:17, 3 users, load averages: 3.06 3.18 3.13 -14:42 up 47 days, 19:17, 3 users, load averages: 2.89 3.14 3.12 -14:42 up 47 days, 19:17, 3 users, load averages: 2.82 3.12 3.11 -14:42 up 47 days, 19:17, 3 users, load averages: 2.93 3.13 3.11 -14:42 up 47 days, 19:18, 3 users, load averages: 3.18 3.18 3.13 diff --git a/dev/perf/spf_queue/results/short/sweep-bucket2-sparse.csv b/dev/perf/spf_queue/results/short/sweep-bucket2-sparse.csv deleted file mode 100644 index 04079ec..0000000 --- a/dev/perf/spf_queue/results/short/sweep-bucket2-sparse.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -wide1,16384,131072,16,none,bucket2-sparse,0,2,37.299375,9,37.058584;37.299375;37.285416;37.232875;37.307000;36.957291;39.781167;38.166292;37.387791 -wide31,16384,131072,16,none,bucket2-sparse,0,32,36.781667,9,36.781667;36.675875;36.531209;36.388875;37.259583;36.938000;36.847333;36.702833;36.799709 -wide1023,16384,131072,16,none,bucket2-sparse,0,1024,34.703667,9,34.732500;34.721584;34.703667;34.777416;34.599666;34.279333;34.665333;34.923625;34.495458 -wide32767,16384,131072,16,none,bucket2-sparse,0,32768,35.819209,9,36.423291;36.809583;35.480750;35.858125;35.819209;35.829750;35.007125;35.601084;35.079583 -wide1048575,16384,131072,16,none,bucket2-sparse,0,1048570,47.752208,9,47.993250;46.520667;47.752208;46.565125;48.841959;47.888041;46.563958;47.450625;48.453833 -wide33554431,16384,131072,16,none,bucket2-sparse,1,33554196,56.532583,9,56.001958;56.304709;57.229250;55.514583;56.225541;56.869458;56.854875;58.679041;56.532583 diff --git a/dev/perf/spf_queue/results/short/time-bucket-hybrid-b.csv b/dev/perf/spf_queue/results/short/time-bucket-hybrid-b.csv deleted file mode 100644 index 3840549..0000000 --- a/dev/perf/spf_queue/results/short/time-bucket-hybrid-b.csv +++ /dev/null @@ -1,9 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,16384,131072,64,none,bucket-hybrid,0,32,142.547666,9,141.814042;142.235333;142.547666;145.159000;142.753125;142.732000;141.346416;141.522875;143.547708 -random,65536,524288,1,none,bucket-hybrid,0,32,10.798875,9,10.798875;10.912625;10.936292;10.787250;10.552875;10.718083;10.778958;11.122250;10.962833 -clos,800,320000,64,none,bucket-hybrid,0,2,142.141958,9,142.959250;140.614458;141.870500;145.317042;141.619250;142.141958;142.838250;141.910292;143.447083 -chain,2048,2047,1,none,bucket-hybrid,0,32,0.040834,9,0.040834;0.041125;0.040458;0.040583;0.040750;0.040875;0.040958;0.041167;0.040792 -random,16384,131072,64,near,bucket-hybrid,0,32,0.389791,9,0.389542;0.412500;0.387250;0.390875;0.394083;0.387292;0.386500;0.389791;0.392209 -random,65536,524288,64,near,bucket-hybrid,0,32,1.484459,9,1.484459;1.473000;1.474459;1.487292;1.477583;1.475709;1.498208;1.484625;1.489750 -random,262144,2097152,16,near,bucket-hybrid,0,32,1.442292,9,1.459500;1.451458;1.432125;1.436708;1.440500;1.442292;1.450166;1.442209;1.446667 -random,262144,2097152,1,none,bucket-hybrid,0,32,84.464083,9,85.850916;89.099833;91.374917;84.464083;85.462917;82.968792;82.194042;83.954375;82.687375 diff --git a/dev/perf/spf_queue/results/short/time-bucket-sparse-b.csv b/dev/perf/spf_queue/results/short/time-bucket-sparse-b.csv deleted file mode 100644 index 9af8e2a..0000000 --- a/dev/perf/spf_queue/results/short/time-bucket-sparse-b.csv +++ /dev/null @@ -1,9 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,16384,131072,64,none,bucket-sparse,0,32,146.151375,9,145.365875;146.581375;147.046709;145.907750;145.879916;147.234791;146.151375;147.714292;145.136625 -random,65536,524288,1,none,bucket-sparse,0,32,10.988416,9,11.044125;10.804042;10.830375;10.933083;11.017500;10.988416;11.095125;10.766667;11.091958 -clos,800,320000,64,none,bucket-sparse,0,2,141.707584,9,141.602916;142.928875;141.394458;141.996958;144.307250;141.192500;141.707584;141.517500;141.947458 -chain,2048,2047,1,none,bucket-sparse,0,32,0.041792,9,0.037042;0.038417;0.041917;0.041792;0.041625;0.041625;0.041792;0.042292;0.046542 -random,16384,131072,64,near,bucket-sparse,0,32,0.386666,9,0.386666;0.385417;0.392792;0.381959;0.383250;0.387625;0.390833;0.383792;0.392417 -random,65536,524288,64,near,bucket-sparse,0,32,1.439458,9,1.416958;1.482792;1.507250;1.425667;1.424709;1.541000;1.429417;1.439458;1.523084 -random,262144,2097152,16,near,bucket-sparse,0,32,1.455000,9,1.455000;1.447125;1.366958;1.453084;1.511791;1.458042;1.451667;1.496875;1.467875 -random,262144,2097152,1,none,bucket-sparse,0,32,92.620833,9,93.362750;91.775833;96.660417;93.237000;98.978917;92.009125;92.620833;89.293292;88.834333 diff --git a/dev/perf/spf_queue/results/short/time-bucket2-fresh-b.csv b/dev/perf/spf_queue/results/short/time-bucket2-fresh-b.csv deleted file mode 100644 index e68bded..0000000 --- a/dev/perf/spf_queue/results/short/time-bucket2-fresh-b.csv +++ /dev/null @@ -1,9 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,16384,131072,64,none,bucket2-fresh,0,32,142.163000,9,140.967209;141.247417;142.163000;141.064542;144.924083;142.519750;142.667958;144.079083;141.456417 -random,65536,524288,1,none,bucket2-fresh,0,32,10.603833,9,10.704708;10.602166;10.760750;10.537584;10.620416;10.371667;10.603833;10.354041;10.773959 -clos,800,320000,64,none,bucket2-fresh,0,2,141.902750,9,141.549417;141.541042;144.366500;141.535417;142.107375;141.902167;143.362708;142.260042;141.902750 -chain,2048,2047,1,none,bucket2-fresh,0,32,0.035542,9,0.035083;0.035542;0.035458;0.035625;0.046708;0.035375;0.035708;0.035375;0.035834 -random,16384,131072,64,near,bucket2-fresh,0,32,1.336000,9,1.396750;1.399000;1.436458;1.324125;1.275750;1.291083;1.333292;1.336000;1.380375 -random,65536,524288,64,near,bucket2-fresh,0,32,5.261459,9,5.480084;4.884666;5.216500;5.141875;5.405084;5.249708;5.399750;5.261459;5.417583 -random,262144,2097152,16,near,bucket2-fresh,0,32,5.230458,9,5.177375;5.003542;5.108792;7.128292;5.230458;5.224084;5.279209;5.274916;5.299583 -random,262144,2097152,1,none,bucket2-fresh,0,32,86.550500,9,86.550500;86.679625;84.645666;85.720708;83.300834;85.359417;91.528000;91.843500;89.670625 diff --git a/dev/perf/spf_queue/results/short/time-bucket2-hybrid-b.csv b/dev/perf/spf_queue/results/short/time-bucket2-hybrid-b.csv deleted file mode 100644 index 9108b2c..0000000 --- a/dev/perf/spf_queue/results/short/time-bucket2-hybrid-b.csv +++ /dev/null @@ -1,9 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,16384,131072,64,none,bucket2-hybrid,0,32,146.908458,9,149.103333;146.908458;153.407334;151.466584;148.761833;142.588416;143.540292;144.859666;144.793083 -random,65536,524288,1,none,bucket2-hybrid,0,32,11.742542,9,11.742542;12.280833;12.336916;12.553708;11.515250;11.836375;11.498792;11.367084;11.614458 -clos,800,320000,64,none,bucket2-hybrid,0,2,144.050750,9,144.281250;143.780042;142.801334;144.050750;143.585833;145.442250;145.965375;144.048125;146.001791 -chain,2048,2047,1,none,bucket2-hybrid,0,32,0.038334,9,0.038542;0.038042;0.038458;0.038334;0.038291;0.038416;0.038292;0.038291;0.038500 -random,16384,131072,64,near,bucket2-hybrid,0,32,0.393166,9,0.394125;0.401459;0.403000;0.392291;0.392875;0.398375;0.392250;0.393166;0.392334 -random,65536,524288,64,near,bucket2-hybrid,0,32,1.498541,9,1.497833;1.510291;1.492042;1.498541;1.516292;1.486791;1.499625;1.487583;1.511375 -random,262144,2097152,16,near,bucket2-hybrid,0,32,1.411375,9,1.340875;1.415917;1.435625;1.349125;1.366625;1.403875;1.422208;1.411375;1.436292 -random,262144,2097152,1,none,bucket2-hybrid,0,32,84.643541,9,83.597292;84.989084;83.386458;85.441959;83.921208;83.676792;84.643541;86.611042;85.450250 diff --git a/dev/perf/spf_queue/results/short/time-bucket2-sparse-b.csv b/dev/perf/spf_queue/results/short/time-bucket2-sparse-b.csv deleted file mode 100644 index 705d100..0000000 --- a/dev/perf/spf_queue/results/short/time-bucket2-sparse-b.csv +++ /dev/null @@ -1,9 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,16384,131072,64,none,bucket2-sparse,0,32,147.686917,9,147.830750;147.531417;147.372209;147.061958;149.109292;149.496875;147.970583;146.964417;147.686917 -random,65536,524288,1,none,bucket2-sparse,0,32,11.416459,9,11.431292;11.416459;11.210667;11.834542;11.816958;11.380167;11.199083;11.488292;11.214833 -clos,800,320000,64,none,bucket2-sparse,0,2,143.678625,9,144.810291;143.678625;142.837750;142.298541;142.889500;143.704667;143.648000;145.034541;146.672667 -chain,2048,2047,1,none,bucket2-sparse,0,32,0.040916,9,0.037208;0.039334;0.040833;0.040916;0.041000;0.041041;0.041042;0.041083;0.039667 -random,16384,131072,64,near,bucket2-sparse,0,32,0.398333,9,0.403250;0.411209;0.398333;0.395750;0.391458;0.455709;0.478792;0.378000;0.378500 -random,65536,524288,64,near,bucket2-sparse,0,32,1.500166,9,1.500166;1.477167;1.504708;1.495167;1.497542;1.516500;1.489167;1.687291;1.531375 -random,262144,2097152,16,near,bucket2-sparse,0,32,1.450625,9,1.381625;1.413875;1.471417;1.457458;1.450625;1.440000;1.462625;1.466166;1.447083 -random,262144,2097152,1,none,bucket2-sparse,0,32,95.974167,9,100.352250;98.287042;95.974167;94.826000;92.828416;95.038750;93.860083;98.846875;96.269292 diff --git a/dev/perf/spf_queue/results/short/time-heap-hybrid-b.csv b/dev/perf/spf_queue/results/short/time-heap-hybrid-b.csv deleted file mode 100644 index b745303..0000000 --- a/dev/perf/spf_queue/results/short/time-heap-hybrid-b.csv +++ /dev/null @@ -1,9 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,16384,131072,64,none,heap-hybrid,0,32,273.173042,9,273.535959;273.173042;272.987500;274.413708;272.240708;272.831625;272.374041;273.861250;275.296667 -random,65536,524288,1,none,heap-hybrid,0,32,20.333792,9,20.587500;20.226958;20.591334;20.201833;20.277375;19.883125;20.333792;20.459667;20.590542 -clos,800,320000,64,none,heap-hybrid,0,2,135.961625,9,135.924375;135.899834;138.616000;135.521958;136.078250;136.760792;136.773459;135.961625;135.061542 -chain,2048,2047,1,none,heap-hybrid,0,32,0.024500,9,0.022000;0.023083;0.024500;0.024750;0.025042;0.024750;0.024375;0.024541;0.024500 -random,16384,131072,64,near,heap-hybrid,0,32,0.390458,9,0.387792;0.389541;0.390458;0.390459;0.386875;0.391084;0.392083;0.408167;0.388917 -random,65536,524288,64,near,heap-hybrid,0,32,1.481000,9,1.497167;1.481000;1.481041;1.492750;1.483334;1.396500;1.409125;1.445125;1.464084 -random,262144,2097152,16,near,heap-hybrid,0,32,1.456709,9,1.430542;1.456709;1.462583;1.456834;1.475000;1.445459;1.443833;1.464333;1.447459 -random,262144,2097152,1,none,heap-hybrid,0,32,131.476542,9,131.909875;131.235750;129.497458;131.023292;131.906417;132.037875;132.782167;130.478583;131.476542 diff --git a/dev/perf/spf_queue/results/short/time-ref-a1.csv b/dev/perf/spf_queue/results/short/time-ref-a1.csv deleted file mode 100644 index 4a3fb44..0000000 --- a/dev/perf/spf_queue/results/short/time-ref-a1.csv +++ /dev/null @@ -1,9 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,16384,131072,64,none,ref,0,32,240.574042,9,239.941250;243.446250;243.989666;240.574042;239.140083;241.751209;239.183292;241.564583;239.675084 -random,65536,524288,1,none,ref,0,32,18.512292,9,18.477250;18.512292;18.502583;18.579334;18.885459;18.153333;18.186375;18.595458;18.531083 -clos,800,320000,64,none,ref,0,2,137.762333,9,137.476083;137.589542;141.538542;139.405833;137.762333;136.658917;138.521917;138.898375;137.596916 -chain,2048,2047,1,none,ref,0,32,0.020583,9,0.020583;0.023083;0.019750;0.018500;0.018500;0.020166;0.020708;0.020667;0.020875 -random,16384,131072,64,near,ref,0,32,1.046583,9,1.099292;1.076792;1.031625;1.002583;1.015500;1.046583;1.051792;1.043291;1.053416 -random,65536,524288,64,near,ref,0,32,4.206375,9,4.206375;4.798000;5.190875;4.624958;4.175583;4.034417;4.407375;4.000666;4.178959 -random,262144,2097152,16,near,ref,0,32,3.913459,9,3.901625;3.917291;3.924083;3.913459;3.900458;3.938041;3.915958;3.895375;3.909083 -random,262144,2097152,1,none,ref,0,32,119.533542,9,120.662833;117.989875;119.298416;120.215542;117.608500;119.533542;119.545958;118.972500;129.493667 diff --git a/dev/perf/spf_queue/results/short/time-ref-a2.csv b/dev/perf/spf_queue/results/short/time-ref-a2.csv deleted file mode 100644 index 1c7b4be..0000000 --- a/dev/perf/spf_queue/results/short/time-ref-a2.csv +++ /dev/null @@ -1,9 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random,16384,131072,64,none,ref,0,32,245.430000,9,248.316125;247.171583;244.164041;245.430000;244.551542;243.334791;244.229459;247.001041;245.512083 -random,65536,524288,1,none,ref,0,32,18.767000,9,18.134292;18.544916;18.387041;18.409583;18.924417;18.847500;18.767000;18.922875;18.988125 -clos,800,320000,64,none,ref,0,2,141.644542,9,141.412958;141.113542;141.644542;140.970292;142.218375;143.736166;140.296792;143.137291;142.293208 -chain,2048,2047,1,none,ref,0,32,0.023334,9,0.020709;0.022041;0.021000;0.023375;0.023334;0.024250;0.024042;0.023875;0.023333 -random,16384,131072,64,near,ref,0,32,1.104167,9,1.087125;1.084917;1.086542;1.119541;1.148958;1.118583;1.104167;1.099708;1.144750 -random,65536,524288,64,near,ref,0,32,4.305042,9,4.331750;4.193667;4.377625;4.208583;4.354542;4.137708;4.409417;4.166125;4.305042 -random,262144,2097152,16,near,ref,0,32,19.192541,9,19.290125;19.192541;19.075667;18.905375;19.081709;19.091959;19.239083;19.242709;19.201542 -random,262144,2097152,1,none,ref,0,32,124.229000,9,122.850416;129.890541;123.901291;123.352166;131.279125;139.409250;136.247250;124.229000;122.618125 diff --git a/dev/perf/spf_queue/review-2026-10/BRIEF.md b/dev/perf/spf_queue/review-2026-10/BRIEF.md deleted file mode 100644 index 6c200b5..0000000 --- a/dev/perf/spf_queue/review-2026-10/BRIEF.md +++ /dev/null @@ -1,79 +0,0 @@ -# Critical review brief: SPF optimisation in NetGraph-Core - -You are an independent, sceptical performance reviewer. Repository root is the -current directory (NetGraph-Core, C++20 core + pybind11). The working tree has -an UNCOMMITTED change on top of commit `fbab119` that replaces the Dijkstra -frontier in `src/shortest_paths.cpp` with a monotone bucket queue (active bucket -kept as a heap on `(-bottleneck, node)` so pop order is identical to the old -binary heap), plus a thread-local scratch workspace with touched-node tracking -and a hybrid reset. Read, in this order: - -1. `dev/perf/spf_queue/PLAN.md` (the plan: decision, - experiment, implementation status, old/new/old measurements, trade-offs). -2. `dev/perf/spf_queue/review-2026-10/change.diff` - (the exact production + test diff) and the live files `src/shortest_paths.cpp`, - `src/strict_multidigraph.cpp`, `include/netgraph/core/shortest_paths.hpp`. -3. `dev/perf/spf_queue/README.md` and the harness - `spf_variants.hpp` / `harness.cpp` (plain C++; `bash dev/perf/spf_queue/build.sh` - builds `build/perf/cpu-queue`; `build/perf/cpu-queue-old` - is the same harness built from the previous sources; `time ref 7`, - `short ref 7`, `sweep ref 7 2097152`, `correctness` are the modes). -4. Callers: `src/max_flow.cpp`, `src/flow_state.cpp` (place_max_flow), - `src/flow_policy.cpp` (get_path_bundle, memo), `src/k_shortest_paths.cpp` - (its own `dijkstra_single` and spur searches), `src/cpu_backend.cpp`. -5. Context memos: `dev/research/metal_pathfinding/optimization/README.md` (GPU research) - and the measured dead ends listed in CPU_PLAN.md ("do not retry"). - -## Your task - -Think hard and answer: **were all easily achievable and reasonable -optimisations considered and verified?** Specifically: - -- Cheap wins inside the new code that were missed: the bucket queue (bucket - advance, bitmap, per-pop overhead, item layout, the chain-graph regression, - width limit), the heap route (the recorded 5–9% fallback regression and its - real cause), the workspace (reset policy, output materialisation, the O(N) - output floor), predecessor-list construction and the PredDAG conversion, - early-exit handling, the reverse search, the cost/gcd metadata. -- Cheap wins around the search that were not touched: how max-flow, - place_max_flow and FlowPolicy call SPF (repeated full searches, residual - recomputation, memoisation, early termination), KSP's private - `dijkstra_single`, graph construction (CSR layout, edge ordering by cost), - the Python binding path (copies, GIL), batch/thread usage. -- Whether the measurements support the claims: A/B/A design, noise, the - `W_max = 65536` choice, the sweep, the NetGraph-level workloads - (`cpu_queue/bench_netgraph.py`) and whether they represent realistic - NetGraph use; anything the author may have rationalised away. -- Correctness or robustness risks that an optimisation reviewer should flag: - thread_local lifetime and memory bound, exception paths, reentrancy, - int64 overflow in bucket arithmetic, graphs with zero edges, Python threads. - -## Rules - -- Be concrete and sceptical. Cite file paths and line numbers. Do not restate - the plan; find what it misses or gets wrong. -- Verify, don't speculate: build the harness and run experiments where a claim - can be checked in minutes (old binary vs new binary, forced heap via - `NGRAPH_CORE_SPF_QUEUE=heap`, fresh processes, several samples, record load - with `uptime`). Treat differences under ~5% as noise unless reproduced. -- Do NOT modify tracked files. Put every experiment, patch (as `.patch` files) - or script under `dev/perf/spf_queue/review-2026-10/`. - You may build into `build/`. Do not run `git commit`, `git stash`, `git - checkout`, or anything that changes the working tree outside that directory. - The Python venv is `venv/`; NetGraph lives in `/Users/networmix/ws/NetGraph` - (read-only for you). Do not run the full test suites; they already passed. -- Other sessions share this machine; keep runs short and sequential. - -## Report (write it to `dev/perf/spf_queue/review-2026-10/REPORT.md`, in English) - -1. A ranked list of findings. For each: title; what exactly is missed or wrong - (with evidence); expected gain and the workload class it applies to; cost - and risk; verdict as one of VERIFIED-GAIN (you measured it), PLAUSIBLE- - UNTESTED (why you could not verify), REFUTED (you measured no gain), - ALREADY-COVERED (the plan handles it; say where). -2. For every VERIFIED-GAIN: the exact patch (file + diff) and the numbers - (old / new / your variant, samples, load). -3. Measurement critique: what in the recorded A/B/A would you not trust, and - what would you rerun. -4. A short verdict: is the shipped approach the right streamlined choice, and - what (if anything) should be done before committing it. diff --git a/dev/perf/spf_queue/review-2026-10/REPORT.md b/dev/perf/spf_queue/review-2026-10/REPORT.md deleted file mode 100644 index 195d4b9..0000000 --- a/dev/perf/spf_queue/review-2026-10/REPORT.md +++ /dev/null @@ -1,280 +0,0 @@ -# Independent review of the SPF optimisation - -Reviewed 2 October 2026 against `fbab119e794c843838f4f3f96d75cb7f32f06845` and the supplied uncommitted diff. Line references below refer to the live, unmodified production files, not the experimental copies. - -**No: the main algorithm choice is sensible, but several small, worthwhile changes were neither considered nor verified.** I measured gains in neighbour processing, predecessor output construction, singleton-frontier handling, and fixed-routing callers. More importantly, I reproduced a new exception-safety defect and disproved the stated retained-memory bound. The weighted-graph speedup itself survives independent measurement. - -All experimental sources, patches, scripts and results are in this directory; executables/objects are under `build/perf/`. All 97 tracked files were checked byte-for-byte against the review-start snapshot; none changed ([verification](results/tracked-verification.txt)). No full repository suite, commit, checkout, stash, or downstream source modification was performed. - -## 1. Ranked findings - -### 1. A failed touched-list allocation corrupts the next SPF call - -**Verdict: VERIFIED-GAIN — correctness restoration, not a latency claim. Priority: fix before committing.** - -`src/shortest_paths.cpp:726–728` writes the source distance and bottleneck **before** the potentially allocating `touched.push_back`. Reverse SPF does the same at `:932–934`. If that allocation throws, the lease runs, but sparse cleanup at `:433–436`/`:475–479` has no record of the modified node. The next same-sized search can suppress a valid relaxation against the stale zero distance. Sparse output materialisation then reports the reachable node as unreachable. - -[Reproducer](robustness.cpp), [public old-build reproducer](fault-public.cpp), and [exact fix](exception-fix.patch), affecting those two blocks in `src/shortest_paths.cpp`: - -| Eight-node, one-edge graph; inject one four-byte allocation failure, then search from/to the other endpoint | Old | New | Fix | -|---|---:|---:|---:| -| Forward distance to the reachable node | 1 | `INT64_MAX` | 1 | -| Reverse distance from the reachable node | 1 | `INT64_MAX` | 1 | - -Raw outputs: [old](results/fault-old.txt), [new](results/fault.txt), [fix](results/fault-fixed.txt). The patch records the source/target first, then performs the nonthrowing writes. It does not change successful-call work or outputs. Cost/risk: two statement reorderings; very low. The existing fanout-throw test at `tests/cpp/shortest_paths_tests.cpp:641–668` does not exercise this failure point. The comment claiming restoration on *every* exit at `src/shortest_paths.cpp:497` is presently false. - -### 2. Do not recompute an identical SPF inside fixed-routing max-flow calls - -**Verdict: VERIFIED-GAIN.** - -`src/max_flow.cpp:123–151` and `src/flow_state.cpp:537–552` repeatedly call SPF. With `require_capacity=false`, they pass no residual; graph, masks, endpoints and selection remain identical. The next placement still needs current residuals, but the next SPF does not. This is a particularly simple caller optimisation, independent of the queue. It is unnecessary when `shortest_path=true`, which already stops after one successful tier. - -[Exact patch](fixed-routing.patch) caches the result **within the invocation**, in both files, only re-searching when capacity-aware routing is enabled. It does not cache changing residual-aware routes. On eight weighted 4,096-node/32,768-edge queries, seven samples per fresh process: - -| Workload | Old A1 / A2, ms | New A1 / A2, ms | Reuse variant, ms | Reduction from new | -|---|---:|---:|---:|---:| -| `place_max_flow`, fixed routing | 5.757 / 5.646 | 3.857 / 3.784 | 2.134 | 44–45% | -| Same, node/edge exclusions | 4.255 / 4.150 | 3.090 / 2.951 | 1.693 | 43–45% | -| `calc_max_flow`, exclusions | 6.032 / 6.033 | 4.942 / 4.846 | 3.531 | 27–29% | -| `calc_max_flow`, no exclusions | 7.105 / 6.903 | 5.139 / 4.972 | 4.486 | Unstable samples; do not use for a precise claim | - -The unmasked `calc_max_flow` variant samples span 3.851–5.648 ms; I am explicitly not treating its median as equally strong evidence. The other gains also appeared in the screening pass. The accepted rerun fixes all query endpoints in the masks before warmup; the earlier screening files are retained and labelled `screen-flow-*`. - -Evidence: [driver](flow-driver.cpp), [build/run script](build-flow.sh), [old A1](results/flow-old1.csv), [new A1](results/flow-new1.csv), [variant](results/flow-fixed.csv), [new A2](results/flow-new2.csv), [old A2](results/flow-old2.csv), [load](results/load-flow.txt): 1-minute load 4.46–4.76. Output hashes agree; capacity and conservation checks run outside timing. See section 2 for stronger flow validation. - -Expected applicability: fixed IP/IGP routing through these helpers, with repeated placement enabled. No promised improvement for residual-aware default max-flow or the recommended single-pass IP-ECMP combination. Cost/risk: small local lifetime extension; review the old result's extra lifetime during replacement on the residual-aware route. Keep this as a separate caller patch if the SPF change is to remain narrowly scoped. - -### 3. Skip settled neighbours before collecting their parallel edges - -**Verdict: VERIFIED-GAIN.** - -At `src/shortest_paths.cpp:583–640` and `:832–881`, the code collects eligible edges and computes their bottleneck even when the neighbour is settled. With nonnegative costs, a settled neighbour cannot receive a shorter path; equal-cost predecessor changes and single-path capacity improvements are already prohibited for settled neighbours at `:644–655`/`:884–895`. Skipping its contiguous neighbour run early preserves the existing outputs. - -[Exact patch](settled.patch): two condition changes in `src/shortest_paths.cpp`. This is not a different tie-break, cached eligibility policy, or new queue. - -| Dense unit fabric, 800 nodes / 320,000 edges, 16 full-source queries | Old A1 / A2 | New A1 / A2 | Skip-settled | -|---|---:|---:|---:| -| Pass A, ms | 36.784 / 36.827 | 34.775 / 35.326 | 30.552 | -| Pass B, ms | 36.005 / 36.967 | 35.225 / 36.691 | 29.811 | -| Reverse search, 16 targets, ms | 48.257 / 46.690 | 46.923 | 37.042 | - -Forward improvement is 12–19% against the new code; reverse improvement is 21%. Weighted random graphs do **not** establish a gain: pass B is 36.487 versus 36.437/36.404 ms. Do not advertise this as a universal improvement. The extra branch could be unfavourable in other graph families. - -Evidence: `results/{old-a1,new-a1,settled,new-a2,old-a2}.csv`, the corresponding `*-b*` files, and `results/reverse-*.csv`; [first load log](results/load.txt), [second load log](results/load-second.txt). Loads during these forward phases were 3.53–4.42; reverse phases 4.67. Full forward old-loop comparison: 1,351,168 comparisons, zero failures. Reverse hashes agree with the separately built old implementation; targeted sanitizers and the cross-caller bitgate also pass. - -Cost/risk: very small implementation, low semantic risk after nonnegative-weight proof and parity checks. This directly challenges the suggestion at `CPU_PLAN.md:150–155` that edge-scanning dominance makes unit fabrics merely neutral: some of that edge processing is avoidable. - -### 4. Forward PredDAG conversion need not walk every surviving list twice - -**Verdict: VERIFIED-GAIN.** - -`src/shortest_paths.cpp:679–700` walks each predecessor list to count entries, prefixes the counts, sizes/initialises two output arrays, and walks the same lists again to fill them. On dense equal-cost DAGs this is measurable work, not an irreducible result-size floor. - -[Exact patch](append.patch) keeps the sparse path unchanged. For the dense case it reserves the number of recorded entries as an upper bound, appends surviving entries once in node/list order, and writes each final offset immediately. It preserves parent ordering and all four output arrays. - -| Same dense forward workload as finding 3 | Old A1 / A2, ms | New A1 / A2, ms | One-pass conversion, ms | -|---|---:|---:|---:| -| Pass B | 36.005 / 36.967 | 35.225 / 36.691 | 29.755 | -| Pass C | 37.396 / 37.468 | 35.800 / 35.380 | 31.159 | - -This is a reproduced 12–19% reduction. Random-graph changes remain below the review's significance threshold. Combined with settled-neighbour skipping, the dense row is 26.327 ms versus 35.800/35.380 ms, about 26% lower; that combined timing is one phase, not a separately replicated universal claim. - -Evidence: [patch](append.patch), [combined patch](combined.patch), `results/{append,append-c,combined}.csv`, [pass C load](results/load-third.txt). Pass B load was 3.53; pass C was busier, 7.93–8.46. The individual improvement survives both passes. [Forward comparison](results/correctness-append.txt): 1,351,168 comparisons, zero failures. - -Expected applicability: dense multipath outputs with many live predecessor entries. Cost/risk: small conversion change, but reserving *all* recorded entries can retain excess space in the returned vectors when many predecessors were superseded. This must be weighed against the exact-sized current output; it is not a free memory improvement. Reverse conversion is a scatter by successor and requires ascending-tail order (`:981–1015`), so this exact patch cannot simply be copied there. - -### 5. The chain regression is partly avoidable without another search algorithm - -**Verdict: VERIFIED-GAIN.** - -For a frontier with one item, `BucketQueue` still divides/modulos its key, sets/clears occupancy, advances the cursor and touches a vector/heap (`src/shortest_paths.cpp:329–362`). The plan tried modulo masking and accepted the regression; that does not test avoiding the bucket machinery altogether for an isolated item. - -[Exact patch](inline.patch) stores a lone newly pushed item inline, promoting it into the existing buckets if a second item arrives. After ordinary bucket operation it only re-enters this mode when the frontier empties. Keys, queue selection and pop order are unchanged. This is not retrospective dispatch to a second Dijkstra implementation. - -| Chain: 2,048 nodes, 256 queries with varying sources | Old A1 / A2, ms | New A1 / A2, ms | Inline item, ms | -|---|---:|---:|---:| -| Pass B | 2.929 / 3.114 | 5.232 / 5.462 | 3.541 | -| Pass C | 3.039 / 3.115 | 5.607 / 5.569 | 3.618 | - -Reduction from the new bucket route: 32–35%. It still trails the old implementation by about 14–21% in these passes. These are 256 varying-length chain queries, **not** the plan's single full-chain query; do not quote the whole batch as single-query latency. Other focus rows show no reproduced material gain or regression. - -Evidence: `results/{inline,inline-c}.csv`, the B/C controls above, and [correctness](results/correctness-inline.txt): 1,351,168 comparisons, zero failures. Same load ranges as finding 4. A smaller experiment retaining just a sole item's bucket location ([singleton.patch](singleton.patch)) gave only about 9% in the first chain pass; bypassing the bucket storage is the useful version. - -Cost/risk: modest queue-state complexity; promotion after zero-cost pushes and cyclic cursor transitions deserve explicit tests. Applicability includes narrow-frontier portions of ordinary graphs, not just graphs that are globally chains. There is no workload evidence behind the plan's categorical statement that no production caller runs on a path graph (`CPU_PLAN.md:287–292`). - -### 6. Retained memory is not bounded by one largest-graph workspace - -**Verdict: PLAUSIBLE-UNTESTED for the reclamation optimisation; the counterexample itself is verified. Priority: correct the bound before committing.** - -Only the fixed node arrays go through `ensure_sized` (`src/shortest_paths.cpp:402–405,424–430,465–472`). Entry arrays, touched/selection buffers, heap storage, bucket headers and each individual bucket's item capacity retain their high-water marks. Both directional workspaces coexist per thread (`:494–495`). - -The stronger problem is the **sum of independent bucket high-water marks**. [Memory probe](robustness.cpp), [output](results/memory.txt): with 63 graphs, each having only 1,027 nodes and 1,026 edges and a maximum live frontier of 1,024 items, retained bucket-item capacity rises from **16,400 bytes to 1,032,208 bytes**. A subsequent two-node graph shrinks `dist.capacity()` to two but retains all 1,032,208 bucket bytes. - -Thus `:260–264` is misleading and `CPU_PLAN.md:368–369` accounts only for empty headers/bitmap. A conservative bound is proportional to `W_max × historical maximum queued items`, plus node/entry/heap buffers, **per direction per live thread**, rather than just the largest simultaneous frontier. The multiplier can be much more important than the 1.6 MB header number. Entries and heap capacity also survive a graph-size shrink. - -Expected benefit: memory reclamation after heterogeneous graphs or worker-pool traffic; no measured latency gain. Cost/risk: add a total retained-byte budget or reclaim bucket/item storage on substantial graph-size shrink; avoid destroying hot capacities every query. I did not benchmark such a policy because choosing a memory budget requires a workload trade-off; pretending that `W_max` already supplies it would be incorrect. Thread exit does free the TLS vectors; long-lived Python/executor threads are the relevant retention case. - -### 7. The fallback regression is real in some rows, but its “workspace cost” explanation is not established - -**Verdict: PLAUSIBLE-UNTESTED for the remaining causal attribution. Specific cheap remedies below are REFUTED as material gains.** - -`CPU_PLAN.md:156–162` converts an unresolved difference into “the cost of the reusable workspace.” The new route does extra touched-list work, copies dense distances (`src/shortest_paths.cpp:675`), and resets arrays after copying (`:438–443`); these are candidates, not a measured attribution. The three previously attempted mitigations were not repeated. - -I isolated three other possibilities, using the same production loop: - -| Pass A/B, 16 full queries | New forced heap | Experiment | Outcome | -|---|---:|---:|---| -| Random 16k, remove touched tracking and force dense handling | 65.364 / 66.960 ms | 64.784 ms | Under 5%; no established full-search gain | -| Wide ~2^20 costs, same ablation | 52.299 / 53.113 ms | 51.040 ms | Under 5%; insufficient to attribute the gap | -| Near-target queries, same ablation | 0.399 / 0.408 ms | 1.233 ms | Destroys the intended workspace benefit | -| Wide ~2^20, explicit heap item/comparator | 52.299 / 53.113 ms | 55.679 ms | No gain | -| Wide ~2^20, copy heap front before pop, like old priority_queue | 52.248 ms | 52.007 ms | Noise | - -Patches: [notouch](notouch.patch), [heapitem](heapitem.patch), [frontpop](frontpop.patch). The 24-byte heap item versus 16-byte bucket item is a genuine layout difference; merely replacing the tuple with an explicitly ordered struct did not help. Do not narrow the double bottleneck or int64 distance to pack a key. - -The quarter-touched threshold at `src/shortest_paths.cpp:399` is not established as the crossover: the reported workload matrix mostly samples very sparse or nearly full searches. Reset and output materialisation need not have the same optimal threshold; reverse sparse conversion additionally sorts touched nodes (`:986–987`). Intermediate touched fractions, locality and graph-size churn remain unmeasured. This is a plausible tuning opportunity, not a verified gain, and the no-touch ablation is not a threshold sweep. - -Fresh old/new controls vary: pass B wide ~2^20 is 48.972/50.562 ms old versus 53.175/52.534 ms new; pass A is 50.820/52.036 versus 53.541/53.120. The boundary run at the same broad cost range is 25.107/25.151 versus 27.498 ms for eight queries. These support a workload-dependent penalty, sometimes clearly over 5%, not a fixed universal 5–9% tax. Cost/risk of further attribution: targeted search/finish/reset profiling on a quieter machine. Expected recoverable percentage remains unknown. Neither “noise” nor “inevitable” is an adequate root cause. - -### 8. `W_max=65536` is conservative and useful, not a verified optimal or portable threshold - -**Verdict: PLAUSIBLE-UNTESTED for the remaining bitmap/cleanup refinements.** The bounded-dispatch design and deferred wider-queue alternatives are already covered by the plan. - -The recorded sweep jumps from `W=32768` to approximately `2^20`; it never measures the chosen boundary (`cpu_queue/harness.cpp:339–341`). Passing `2097152` as harness `maxW` does **not** change the production `ref` route's compile-time limit: `Runner::run` immediately calls `run_ref` (`:147`), while `src/shortest_paths.cpp:270,368–393` decides actual dispatch. The CSV's harness `fallback` field therefore is not a production fallback counter. - -I added the missing near-boundary rows, seven samples, 16,384 nodes/131,072 edges: - -| Actual W | Old A1 / A2, ms | New auto, ms | New forced heap, ms | -|---:|---:|---:|---:| -| 32,768; eight full queries | 25.959 / 26.272 | 17.628 | 27.216 | -| 65,535; eight full queries | 25.433 / 25.761 | 18.147 | 26.350 | -| 65,536; eight full queries | 25.641 / 26.609 | 18.499 | 27.175 | -| 65,537; eight full queries | 25.659 / 25.454 | 26.491 | 26.865 | -| 65,535; 64 near queries | 1.131 / 1.123 | 0.455 | 0.390 | -| 65,536; 64 near queries | 1.171 / 1.149 | 0.435 | 0.399 | - -[Raw boundary files](results/boundary-new1.csv), corresponding old/heap controls, and [load](results/load-second.txt), 4.42–4.67. The boundary supports full-search acceleration on this M4; near queries pay a 9–17% bucket overhead relative to the new heap while still beating old substantially. This is evidence against treating W alone as a universal profitability predictor, not a request to add a complex dispatcher immediately. - -The occupancy bitmap is already implemented. However, `settle_active` can scan up to `ceil(W/64)` words (`:349`); `end()` also scans **every word**, including zero ones (`:317`), and `begin()` clears every word (`:312`). “Clear only occupied buckets” does not mean O(number of occupied buckets) total cleanup. A second-level nonempty-word bitmap or touched-word list addresses this overhead; its benefit at small W is unproven. Both workspaces also call both queues' `end()`, so a heap query after a wide bucket query still scans that old bitmap. - -The plan already defers a hierarchical bitmap/radix alternative and x86 verification (`CPU_PLAN.md:367–373,433–438`); these are not omitted discoveries. Do not widen the limit solely from the old full-search sweep, especially before bounding retained item capacity and measuring cold construction, sparse frontiers, masks and graph changes. No second machine was available in this review. - -### 9. An O(N) result floor exists, but the proposed distance-only remedy is misstated; early exit also has a compatibility trap - -**Verdict: PLAUSIBLE-UNTESTED for a target-specific internal result path.** - -`src/shortest_paths.cpp:671–687` necessarily fills N distances and N+1 offsets under the current API. Sparse reset correctly removes scratch initialisation, not these outputs. But a **distance-only vector still has N elements**; it cannot remove the O(N) floor as claimed at `CPU_PLAN.md:454–457`. A scalar target-distance result, compact target subgraph/path, caller-owned output, or a lazy/sparse result contract is needed. The internal callers commonly inspect only `dist[dst]` (`src/max_flow.cpp:142`, `src/flow_policy.cpp:184`), and `place_max_flow` does not use distances at all (`src/flow_state.cpp:543–549`). They are concrete candidates for a narrower internal result interface, without changing Python defaults. Removing the distances alone still leaves the dense DAG offsets. - -Also, the current early-exit code is not simply “process exactly through the target's distance.” Stale-entry `continue` branches at `:566–569` bypass the stop check at `:661`. A stale equal-distance entry behind the target can cause a more expensive node to be expanded. [Six-node reproducer](early-exit.cpp): target cost 1, yet a node reachable only by expanding a distance-2 node gets distance 3. [Old](results/early-old.txt) and [new](results/early-new.txt) both do this. - -Moving the stop test to the loop head would save work, but changes the returned tentative off-target distances/DAG and fails strict old-result parity. Likewise, breaking immediately when the destination is popped or skipping all relaxations beyond its distance is not a drop-in optimisation. Use an explicit narrower internal contract if taking this route. Expected gain: large only when output/unused exploration dominates; not measured. Cost/risk: moderate API/contract work. Bidirectional search/A* and canonical incoming-CSR reconstruction are not equally cheap substitutes under the current ordered-output contract. - -### 10. FlowPolicy already avoids many searches; it still has avoidable copies and post-search rejection - -**Verdict: PLAUSIBLE-UNTESTED for the remaining copy and bounded-search opportunities.** Existing memoisation and shared seeding already cover much of this area. - -Memoisation is not missing: `src/flow_policy.cpp:148–205` matches exact state stamps or residual bytes, and `:434–444` computes the initial bundle once. The header documents a prior 94% repeat rate for the measured EqualBalanced cycle and 0% for Proportional (`include/netgraph/core/flow_policy.hpp:215–228`). This is historical profiling evidence, not a distribution I remeasured here. Residual-aware memoisation must retain exact capacities: unchanged eligibility does not preserve bottleneck ordering or zero-cost DAG choices. - -There is nevertheless a definite redundant copy: after obtaining an owned `dag`, `get_path_bundle` returns `std::make_pair(dag, dst_cost)` at `src/flow_policy.cpp:238`. Moving that local would avoid another full DAG copy on both hit and miss. A hit still needs its own owned result because the cache retains its DAG. Also, `has_min_flow` remains a memo-key discriminator at `:159–160`, although residual awareness now depends solely on `require_capacity_` at `:94–101`, and EB skips the threshold-derived edge mask. Revisit that stale key/comment with a call-count reproducer before changing it. - -Cost ceilings are applied after SPF at `:207–232`; when a bound is already known, an internal bounded-target search could reject earlier. Respect `best_path_cost_` updates and equal-cost/zero-edge behaviour. Expected gain: one DAG copy per bundle return, fewer equivalent-key misses, and less work on rejected high-cost routes; workload speedup unmeasured. Cost/risk: move is trivial; memo-key/ceiling changes require focused semantic tests. Broad new memoisation is not justified by the existing measured Proportional miss rate. I did not build an isolated memo-hit/bundle-return benchmark for this private helper; the source proves the copy, not a measurable end-to-end gain. - -### 11. KSP's main missed cheap cost is not necessarily its private Dijkstra queue - -**Verdict: PLAUSIBLE-UNTESTED for mask/result work.** Deferring private-queue replacement is already justified in the plan. - -`dijkstra_single` is used for the initial path (`src/k_shortest_paths.cpp:204`); its comparator only compares cost (`:61–63`), so substituting SPF's capacity/node key can change first-path selection. Most subsequent spur work calls the newly optimised public SPF (`:283`). Replacing the private queue without profiling may have little impact on k>1. - -Every spur builds byte masks of N/E elements (`:247–267`), then allocates bool arrays and copies them again (`:269–279`). Reuse bool scratch directly, reset only the prefix/edge exclusions that changed, and preserve the base masks. KSP already caps enumeration and rejects candidate families against the cost ceiling (`:289–305`), but the ceiling is checked *after* the complete SPF/DAG result. A bounded internal search could help rejected spurs. Expected benefit: fewer O(N+E) allocations/copies per spur, especially on large graphs and small reachable regions; no percentage established. Cost/risk: moderate scratch-lifetime and ordering work. The one k=8 Clos benchmark does not profile these components or cover long WAN paths and changing k. - -### 12. Graph layout and metadata are not free, but the obvious gcd micro-optimisation is not a demonstrated win - -**Verdict: REFUTED for a material gcd-guard gain in these measurements.** A separate adjacency-local attribute layout remains an untested possibility. - -[One-line gcd patch](gcd.patch) stops calling `std::gcd` once the running gcd reaches 1 (`src/strict_multidigraph.cpp:66`). I timed the **whole constructor**, not just that operation: 16,384 nodes, 131,072 edges, nine samples, old/new/guard/new/old. Random-input construction was 9.060/9.137 ms old, 9.164/9.289 new, 9.122 guarded. Already cost-ordered input was 1.344/1.374 old, 1.430/1.448 new, 1.364 guarded; the repeat was 1.448/1.456 new versus 1.411 guarded. The smaller repeat does not reproduce a >5% gain. Do not sell this as a significant speedup. Output graph hashes agree. Raw files: `results/build-*.csv`, `results/build-repeat-*.csv`; load logs are the B/C logs. - -The graph already has forward and reverse CSR. Global `(cost,src,dst)` edge ordering (`src/strict_multidigraph.cpp:80–108`) means a CSR row gathers cost/capacity through edge IDs, and the comment that *all* parallel edges are consecutive at `src/shortest_paths.cpp:580` is too strong across cost tiers. Cost-first rows are useful, but not the same as CSR-local cost/capacity arrays. Reordering edge IDs or neighbour visitation risks documented edge-ID tie-breaking and predecessor order. An auxiliary CSR-aligned attribute layout could preserve IDs/order but costs memory and still needs edge-ID gathers for residuals/masks. No layout experiment establishes that trade-off here. - -The max/gcd metadata itself is correct and cheap to access, travels with graph copies, handles zero costs, and avoids repeated eligibility scans. A masked-out wide edge can force the whole query onto the heap; computing a tighter per-query profile is not free and needs amortisation over a stable mask. It is not automatically a cheap win. - -### 13. Python copies and threading deserve separate measurements; “release the GIL” is already done - -**Verdict: PLAUSIBLE-UNTESTED for owned-output transfer and worker reuse.** GIL release and bounded existing batches are already implemented. - -`bindings/python/module.cpp:185–206,228–255` copies residuals/masks before releasing the GIL. The copied inputs give the native call a snapshot; blindly borrowing writable NumPy memory would remove that protection while another Python thread runs. The GIL is already released around SPF, reverse SPF, max-flow, KSP and placement. `CpuBackend` forwards spans directly (`src/cpu_backend.cpp:24–37,40–51`); removing its small duplicated validation is not a credible main optimisation. - -Outputs do have extra traffic: the binding allocates/copies or converts the distance vector and passes `res.second` as an lvalue into `py::make_tuple` (`bindings/python/module.cpp:208–217,257–266`). The installed pybind11 caster maps an lvalue under automatic policy to a copy (`venv/lib/python3.14/site-packages/pybind11/include/pybind11/detail/type_caster_base.h:1650–1659`). Move the owned DAG; consider a capsule owning the int64 vector for a zero-copy int64 result. Float64's sentinel conversion still needs a pass. No separately rebuilt pybind extension variant was timed in this review, so the existing-module NetGraph rerun cannot verify these transfer changes. Expected benefit: output-heavy and tiny-search Python calls; not measured, and public ownership/mutability/default-dtype tests are needed. - -`batch_max_flow` already dynamically schedules bounded `std::async` workers (`src/max_flow.cpp:354–379`), and sensitivity has its own bounded workers (`:427–454`). TLS scratch is reusable within those workers but is destroyed when each batch's workers exit. Persistent workers may amortise first-use allocation; nested Python pools plus native batches can oversubscribe the machine. The NetGraph benchmark explicitly uses serial Monte Carlo/scenarios, so it cannot establish throughput or persistent-pool memory behaviour. Sequential augmentations sharing residuals cannot be batched as independent searches. - -### 14. There is another potentially larger dense-placement hotspot outside SPF - -**Verdict: PLAUSIBLE-UNTESTED.** - -`src/flow_state.cpp:174–199` finds unique DAG parents by linear search and then rescans the entire parent list once per unique parent. For a node with P distinct predecessors, this is quadratic parent processing before the placement solve. Preserve first-appearance and edge accumulation order with a reusable indexed grouping/counting structure; do not sort indiscriminately because floating-point accumulation and group order are observable. - -Expected applicability: wide ECMP/Clos DAGs where queue changes hardly move end-to-end placement time. Expected asymptotic improvement is O(P²) to O(P), but I did not measure a latency gain or implement it: maintaining arbitrary caller-supplied PredDAG order and all three placement semantics needs a separate patch and feasibility/conservation/cut checks. Cost/risk: larger than the four small verified performance changes above. This is a concrete profiling target, not evidence that the existing solver can simply be replaced. - -### 15. Arithmetic/empty-graph/Python-thread risks are mostly covered; reentrancy is a separate assumption - -**Verdict: ALREADY-COVERED for ordinary arithmetic, edgeless graphs and independent threads.** Same-thread reentrancy remains a separate, unverified use case. - -The constructor enforces nonnegative costs and total cost below `2^62` (`src/strict_multidigraph.cpp:40–66`). Therefore `max_cost/gcd+1` cannot overflow int64; cursor advancement corresponds to an actual queued nonnegative distance, and its stride step is bounded by an edge-cost window. I found no ordinary signed-overflow counterexample in the bucket arithmetic. All-zero costs give W=1; no-edge graphs need no edge access despite empty residual/mask sizes comparing equal to E=0. - -[Targeted sanitizer probe](safety.cpp) covered exact W=65,535/65,536/65,537, zero costs, costs near the constructor's aggregate bound, N=0 and N>0/E=0, both directions, option combinations, reused workspaces and concurrent C++ threads. It passed under ASan/UBSan. This does not substitute for Python-thread throughput measurements. Independent immutable-graph calls receive independent TLS state; Python input copies and GIL release remain unchanged. - -There is no in-use guard or nested lease stack for `tls_forward`/`tls_reverse` (`src/shortest_paths.cpp:494–501`). A same-direction recursive call on one thread would reset the outer call's workspace. I found no supported callback/reentry path in these synchronous loops; ordinary Python threads are not such a path. Document the non-reentrant assumption or add an in-use fallback if callbacks/custom allocation hooks become supported. Do not present a hypothetical recursive call as a reproduced production failure. - -## 2. Experiments, exact patches and validation coverage - -The reproducible performance patches are linked in findings 2–5; the exception fix is linked in finding 1. Each `.patch` contains the full unified diff against the unmodified live source. Experimental `.cpp` copies let them be built without applying anything to the working tree. - -- [build-review.sh](build-review.sh) creates old sources/headers using read-only `git show fbab119:...` and builds the focused harness variants. Same Apple clang 21, C++20, `-O3 -funroll-loops -fno-math-errno -fno-trapping-math` as the supplied harness. The supplied `build.sh` was also run successfully. -- [driver.cpp](driver.cpp) reuses the supplied generators/query setup and adds focused, reverse and boundary rows. Random16/wide rows contain 16 queries; Clos contains 16; near contains 64; chain contains 256 varying sources. Every phase is a fresh process; two warmups precede seven measured samples. Raw CSVs include all samples. -- [run-review.py](run-review.py), [run-second.py](run-second.py), [run-third.py](run-third.py) record phase order/load and keep old and new controls on both sides of the focus experiments. [environment](results/environment.txt) records compiler/host/source/binary hashes; [final manifest](results/final-sha256.txt) covers later experimental builds and sources. Pass C is deliberately reported as noisier, not quietly substituted for pass B. -- Baseline, skip-settled, inline-item and one-pass-output versions each passed the supplied forward comparison matrix: **1,351,168 comparisons each**, against the preserved old-loop variants, not just distances. These are repeated combinations on a finite set of graphs, not millions of independent graphs. Files: `results/correctness-{baseline,settled,inline,append}.txt`. -- [validate-review.sh](validate-review.sh) builds settled+one-pass output together with the fixed-routing caller patch under **ASan/UBSan**, with sanitizer failures fatal. Its targeted fixture checks nonuniform-cost flow feasibility/conservation, all single-edge exclusions, exhaustive small-graph cut optimality and reported cut capacity, plus FlowPolicy cost factors 1 and 2. [Results](results/validate-flow-variant.txt), the build/run log (not retained). -- The same sanitized combined/caller build passes the existing cross-caller dump: **6,226 lines byte-identical** to the old binary, including forward/reverse/fanout, placement modes, FlowPolicy sequences, batch/sensitivity and KSP. [Hashes](results/bitgate-sha256.txt). Native batch/sensitivity thread budgets were set to 1 for this check to keep load bounded. The inline queue was separately checked by the full forward matrix; it was not included in that combined sanitized build. -- [safety.cpp](safety.cpp) adds the width/int64/edgeless/concurrency probes described above. [Output](results/safety.txt). -- [run-netgraph-review.py](run-netgraph-review.py) reruns four NetGraph workloads with five samples, `PYTHONHASHSEED=0`, bytecode writes disabled, explicitly selected old/new modules. [Module paths/hashes/load](results/netgraph-environment.txt) verify the same extension binaries used by the recorded experiment. No downstream rebuild was needed or performed; these runs measure the existing uncommitted change, **not** my C++ variants. - -NetGraph rerun, medians in ms, identical recorded workload digests in all phases: - -| Workload | Old A1 / A2 | New | New forced heap | -|---|---:|---:|---:| -| Full SPF, Clos 200×200 | 212.167 / 212.584 | 215.551 | 215.680 | -| Full SPF, weighted 100×100 grid | 219.249 / 219.160 | 169.151 | 235.446 | -| Bound-context max-flow, weighted grid combine | 201.715 / 204.482 | 160.344 | 216.545 | -| Backbone Clos placement | 68.333 / 68.736 | 67.171 | 67.445 | - -The weighted benefit is independently reproduced. Sub-5% Clos/placement changes are noise under this review's rule. The broader 16-row scenario suite was read but not rerun. - -## 3. What the measurements do and do not establish - -Already-measured dead ends were not retried: sorting active buckets once, power-of-two masking as a cure for chains, re-hoisting TLS array pointers, re-fixing the function-pointer comparator, and moving growable buffers into locals. None is presented here as a new recommendation. - -1. **The strongest original claims are sound.** A matched old/new/forced-heap/old sequence, result checks and fresh processes are much better than comparing the slower experimental heap copy with its sibling bucket implementation. The weighted Core gain and approximately 1.25–1.30× weighted NetGraph gains survived this review. The small-query workspace gain also survives. GPU ten-worker tables and relaxed canonical-DAG prototypes are not comparable replacements; the plan correctly separates them. - -2. **A/B/A is not machine isolation.** Original Core load ranged 6.5–12.1, and original NetGraph load 3.9–6.5. Medians from consecutive samples within one process do not remove thermal/frequency, scheduler or allocator drift. My own load logs show 3.5–4.7 during the first two passes and roughly 8 during the third. These are useful large-effect confirmations on a shared machine, not the plan's promised quiet-machine acceptance evidence. Do not derive confidence intervals from nine correlated samples as if they were nine isolated process runs. - -3. **The “no unit workload regressed beyond A1/A2 drift” statement is literally too strong.** The recorded backbone placement row is 68.5/67.9 old versus 71.4 new; three-tier placement is 370.7/366.7 versus 381.3 (`CPU_PLAN.md:126–139,150–155`). Both exceed the old bracketing drift while being around the declared noise band. The defensible conclusion is “not a demonstrated regression,” not “within A1/A2 drift.” The first pre-comparator-fix pass is useful context but is not an independent replication of the final binary. - -4. **The sweep samples the wrong dimensions for a universal cutoff.** One positive uniform-random cost distribution, one N/degree and full-source queries cannot establish a universal W limit. Add exact boundary widths, stride>1, all-zero costs, sparse/high-diameter graphs, outlier edges, changing masks, first-query allocation and memory high-water behaviour. This review supplies boundary and some safety rows, not that entire performance matrix. Linux/x86 remains open. A masked wide edge can cause a fallback, rather than “merely wasting empty buckets.” - -5. **All supplied Core timing rows are warmed.** Expected `run_ref` calls occur before timing (`harness.cpp:263`), followed by two warmups (`:266`). This warms the new TLS workspace before its first measured call. All graph construction is outside timing. The timing loop retains the entire batch's output vectors until checking (`:267–271`), unlike callers that immediately consume/discard each result. This matters for allocation/cache pressure and the large-output conversion variant. Add cold first-call and immediate-consumption measurements rather than replacing the warmed numbers. - -6. **The NetGraph workloads are useful software-path coverage, not a representative demand distribution.** They include real APIs, shipped scenarios, pseudo nodes, failures, WCMP/ECMP and KSP. However, the positive result is dominated by a synthetic planar 100×100 grid with costs sampled from 1–20 (`bench_netgraph.py:85–110`). It is not evidence that a typical metric-weighted WAN simulation speeds up 25%; the included NSFNET scenario was already near neutral. Bound contexts are created outside timing (`:174–175,187–188,200–205`), while pairwise grid builds a context inside (`:231–237`); their different gains do not isolate queue effectiveness. Timed Python functions also hash/normalise results and perform NumPy reductions. Serial scenarios/Monte Carlo do not represent parallel worker-pool reuse or oversubscription. - -7. **Digest agreement has limits.** SPF checksums contain only a distance sum and parent count (`bench_netgraph.py:178–196`), so they cannot detect reordered/wrong parents, swapped distances or wrong via-edges. `norm` drops fields named `id` recursively (`:38–51`). Only the last inner repetition's checksum is compared (`:376–381`). Keep the full bitgate/differential evidence separate from these weaker end-to-end digests. Hash-seed pinning is a legitimate correction, but does not turn this into a semantic max-flow certificate. The targeted certificate added here provides a small independent check, not complete application acceptance. - -8. **Reverse P2 was not finished according to its own gate.** `CPU_PLAN.md:426–431` requires a measured reverse result; the plan elsewhere admits none. This review's reverse measurements show 14.188/13.807 → 8.539 ms on random weighted 4k graphs, and 0.402/0.409 → 0.741 ms on chains. Add these to the evidence rather than labelling an unmeasured stage done. - -9. **Rerun priorities:** first the exception reproducer after the production fix; then isolated new/variant/new and old/new/old on dense fabrics, narrow frontiers and wide-cost fallback, with shorter interleaved phase blocks and source hashes. Include cold/warm and immediate-consumption results, realistic caller counts/touched fractions/cost ranges, output size and total per-thread retained bytes. Profile search versus output versus reset to settle the fallback attribution. Finally run the normal project/integration/sanitizer gates after applying any production patches, and CI plus a second CPU architecture. Local measurements and previously passed suites do not replace those checks on the final code. - -## 4. Commit recommendation - -**Keep the ordered bucket queue, exact pop-order contract and sparse workspace strategy. They are a good streamlined baseline. Do not commit this exact tree unchanged.** - -Fix the reproduced allocation-failure contamination first. Correct the memory claim and either bound aggregate retained bucket capacity or explicitly accept and document the actual retention policy. Consider the settled-neighbour skip and one-pass forward output together: their dense-fabric gain is large enough to merit the modest additional review. The inline singleton path and fixed-routing reuse are measured, contained follow-ups; they can be separate commits rather than expanding the queue patch without limit. - -Retain the conservative width limit while documenting that its second-platform and cold/memory acceptance remains open. Record the remaining heap penalty as unexplained rather than an unavoidable workspace tax. There is no justification to block this CPU direction on GPU work, a general batch API, a different KSP algorithm, or a wholesale graph-layout redesign. There is also no evidence for saying that all reasonable cheap wins were exhausted. diff --git a/dev/perf/spf_queue/review-2026-10/append.patch b/dev/perf/spf_queue/review-2026-10/append.patch deleted file mode 100644 index 6c1139b..0000000 --- a/dev/perf/spf_queue/review-2026-10/append.patch +++ /dev/null @@ -1,23 +0,0 @@ ---- a/src/shortest_paths.cpp -+++ b/src/shortest_paths.cpp -@@ -676,6 +676,20 @@ - } - PredDAG dag; - dag.parent_offsets.assign(static_cast(N+1), 0); -+ if (!sparse) { -+ // Upper bound includes obsolete entries, but avoids a second list walk. -+ dag.parents.reserve(ws.ent_parent.size()); -+ dag.via_edges.reserve(ws.ent_edge.size()); -+ for (std::int32_t v = 0; v < N; ++v) { -+ for (auto i = ws.pred_head[static_cast(v)]; i >= 0; -+ i = ws.ent_next[static_cast(i)]) { -+ dag.parents.push_back(ws.ent_parent[static_cast(i)]); -+ dag.via_edges.push_back(ws.ent_edge[static_cast(i)]); -+ } -+ dag.parent_offsets[static_cast(v) + 1] = static_cast(dag.parents.size()); -+ } -+ return {std::move(dist), std::move(dag)}; -+ } - auto count = [&](std::int32_t v) { - std::size_t c = 0; - for (std::int32_t i = ws.pred_head[static_cast(v)]; i >= 0; i = ws.ent_next[static_cast(i)]) ++c; diff --git a/dev/perf/spf_queue/review-2026-10/build-flow.sh b/dev/perf/spf_queue/review-2026-10/build-flow.sh deleted file mode 100644 index 5331fb6..0000000 --- a/dev/perf/spf_queue/review-2026-10/build-flow.sh +++ /dev/null @@ -1,18 +0,0 @@ -#!/bin/bash -set -eu -r=dev/perf/spf_queue/review-2026-10 -flags=(-std=c++20 -O3 -funroll-loops -fno-math-errno -fno-trapping-math) -for v in old new fixed; do - case $v in - old) inc="$r/old-include"; spf="$r/old-shortest_paths.cpp"; graph="$r/old-strict_multidigraph.cpp"; flow=src/max_flow.cpp; state=src/flow_state.cpp;; - new) inc=include; spf=src/shortest_paths.cpp; graph=src/strict_multidigraph.cpp; flow=src/max_flow.cpp; state=src/flow_state.cpp;; - fixed) inc=include; spf=src/shortest_paths.cpp; graph=src/strict_multidigraph.cpp; flow="$r/max_flow-fixed.cpp"; state="$r/flow_state-fixed.cpp";; - esac - clang++ "${flags[@]}" -I"$inc" -Iinclude "$r/flow-driver.cpp" "$spf" "$graph" "$flow" "$state" src/profiling.cpp -o "build/perf/review-flow-$v" -done -for phase in old1 new1 fixed new2 old2; do - case $phase in old*) v=old;;new*)v=new;;*)v=fixed;;esac - uptime >> "$r/results/load-flow.txt" - build/perf/review-flow-$v > "$r/results/flow-$phase.csv" - echo "$phase done" -done diff --git a/dev/perf/spf_queue/review-2026-10/build-review.sh b/dev/perf/spf_queue/review-2026-10/build-review.sh deleted file mode 100644 index 4dc1fe2..0000000 --- a/dev/perf/spf_queue/review-2026-10/build-review.sh +++ /dev/null @@ -1,15 +0,0 @@ -#!/bin/bash -set -eu -cd "$(dirname "$0")/../../../../.." -r=dev/perf/spf_queue/review-2026-10 -flags=(-std=c++20 -O3 -funroll-loops -fno-math-errno -fno-trapping-math) -mkdir -p "$r/old-include/netgraph/core" -for f in shortest_paths strict_multidigraph; do - git show "fbab119:include/netgraph/core/$f.hpp" > "$r/old-include/netgraph/core/$f.hpp" - git show "fbab119:src/$f.cpp" > "$r/old-$f.cpp" -done -clang++ "${flags[@]}" -I"$r/old-include" -Iinclude "$r/driver.cpp" "$r/old-shortest_paths.cpp" "$r/old-strict_multidigraph.cpp" src/profiling.cpp -o build/perf/review-old -for v in baseline settled singleton heapitem notouch inline append frontpop combined; do - clang++ "${flags[@]}" -Iinclude "$r/driver.cpp" "$r/$v.cpp" src/strict_multidigraph.cpp src/profiling.cpp -o "build/perf/review-$v" - echo "built $v" -done diff --git a/dev/perf/spf_queue/review-2026-10/check-and-build.sh b/dev/perf/spf_queue/review-2026-10/check-and-build.sh deleted file mode 100644 index 9abfc41..0000000 --- a/dev/perf/spf_queue/review-2026-10/check-and-build.sh +++ /dev/null @@ -1,16 +0,0 @@ -#!/bin/bash -set -eu -r=dev/perf/spf_queue/review-2026-10 -for v in baseline settled inline; do - build/perf/review-$v correctness > "$r/results/correctness-$v.txt" - echo "correctness $v passed" -done -clang++ -std=c++20 -O3 -funroll-loops -fno-math-errno -fno-trapping-math -Iinclude "$r/driver.cpp" "$r/append.cpp" src/strict_multidigraph.cpp src/profiling.cpp -o build/perf/review-append -for v in old baseline gcd; do - case $v in - old) graph="$r/old-strict_multidigraph.cpp"; inc="$r/old-include";; - baseline) graph=src/strict_multidigraph.cpp; inc=include;; - gcd) graph="$r/gcd.cpp"; inc=include;; - esac - clang++ -std=c++20 -O3 -funroll-loops -fno-math-errno -fno-trapping-math -I"$inc" -Iinclude "$r/construction.cpp" "$graph" -o build/perf/review-build-$v -done diff --git a/dev/perf/spf_queue/review-2026-10/combined.patch b/dev/perf/spf_queue/review-2026-10/combined.patch deleted file mode 100644 index 5b645c3..0000000 --- a/dev/perf/spf_queue/review-2026-10/combined.patch +++ /dev/null @@ -1,41 +0,0 @@ ---- a/src/shortest_paths.cpp -+++ b/src/shortest_paths.cpp -@@ -580,7 +580,7 @@ - // Process edges grouped by destination node (parallel edges are consecutive in CSR). - while (i < end) { - NodeId v = col[i]; -- if (use_node_mask && !node_mask[static_cast(v)]) { -+ if (settled[static_cast(v)] || (use_node_mask && !node_mask[static_cast(v)])) { - std::size_t j_skip = i; while (j_skip < end && col[j_skip] == v) ++j_skip; i = j_skip; continue; - } - -@@ -676,6 +676,20 @@ - } - PredDAG dag; - dag.parent_offsets.assign(static_cast(N+1), 0); -+ if (!sparse) { -+ // Upper bound includes obsolete entries, but avoids a second list walk. -+ dag.parents.reserve(ws.ent_parent.size()); -+ dag.via_edges.reserve(ws.ent_edge.size()); -+ for (std::int32_t v = 0; v < N; ++v) { -+ for (auto i = ws.pred_head[static_cast(v)]; i >= 0; -+ i = ws.ent_next[static_cast(i)]) { -+ dag.parents.push_back(ws.ent_parent[static_cast(i)]); -+ dag.via_edges.push_back(ws.ent_edge[static_cast(i)]); -+ } -+ dag.parent_offsets[static_cast(v) + 1] = static_cast(dag.parents.size()); -+ } -+ return {std::move(dist), std::move(dag)}; -+ } - auto count = [&](std::int32_t v) { - std::size_t c = 0; - for (std::int32_t i = ws.pred_head[static_cast(v)]; i >= 0; i = ws.ent_next[static_cast(i)]) ++c; -@@ -829,7 +843,7 @@ - std::size_t i = start; - while (i < end) { - NodeId u = icol[i]; -- if (use_node_mask && !node_mask[static_cast(u)]) { -+ if (settled[static_cast(u)] || (use_node_mask && !node_mask[static_cast(u)])) { - std::size_t j_skip = i; while (j_skip < end && icol[j_skip] == u) ++j_skip; i = j_skip; continue; - } - Cost min_edge_cost = kInf; diff --git a/dev/perf/spf_queue/review-2026-10/construction.cpp b/dev/perf/spf_queue/review-2026-10/construction.cpp deleted file mode 100644 index afbeaac..0000000 --- a/dev/perf/spf_queue/review-2026-10/construction.cpp +++ /dev/null @@ -1,28 +0,0 @@ -#include "netgraph/core/strict_multidigraph.hpp" -#include -#include -#include -#include -#include -using namespace netgraph::core; -int main() { - for (bool ordered: {false,true}) { - const int n=16384,m=131072; - std::vectors(m),d(m);std::vectorw(m);std::vectora(m,1); - std::mt19937 rng(11); - for(int i=0;i samples; - std::uint64_t checksum=0; - for(int rep=-2;rep<9;++rep){ - auto t=std::chrono::steady_clock::now(); - auto g=StrictMultiDiGraph::from_arrays(n,s,d,a,w); - auto ms=std::chrono::duration(std::chrono::steady_clock::now()-t).count(); - std::uint64_t h=0;for(auto c:g.cost_view())h=h*31+c;for(auto c:g.adj_edge_index_view())h=h*31+c; - if(rep==-2)checksum=h;else if(h!=checksum)return 2; - if(rep>=0)samples.push_back(ms); - } - auto sorted=samples;std::sort(sorted.begin(),sorted.end()); - std::cout<<(ordered?"ordered":"random")<<','<(x);h*=1099511628211ULL;} }; - mix(r.first); mix(r.second.parent_offsets);mix(r.second.parents);mix(r.second.via_edges); - return h; -} -int main(int argc,char**argv) { - std::string mode=argc>1?argv[1]:"focus"; - int samples=argc>2?std::stoi(argv[2]):7; - if(mode=="correctness") return correctness(); - if(mode=="reverse") { - std::cout<<"case,median_ms,hash,samples_ms\n"; - for(auto kind:{"random","clos","chain","zerocyc"}) { - auto c=make_case(kind,std::string(kind)=="clos"?800:4096); - std::vector times; - std::uint64_t hash=0; - for(int rep=-2;rep out; - auto start=Clock::now(); - for(int q=0;q<16;++q) out.push_back(shortest_paths_to(c.graph,(q*997)%c.graph.num_nodes(),true,EdgeSelection{},c.residual,c.nm(),c.em())); - auto elapsed=ms(start); - std::uint64_t h=0;for(auto& r:out) h^=hash_result(r); - if(rep==-2) hash=h; else if(hash!=h) throw std::runtime_error("reverse nondeterminism"); - if(rep>=0) times.push_back(elapsed); - } - auto sorted=times;std::sort(sorted.begin(),sorted.end()); - std::cout< w; - if(mode=="boundary") { - for(Cost k:{32767,65534,65535,65536,131071,262143,1048575}) { - w.push_back({"wide"+std::to_string(k),make_case("wide",16384,8,false,false,11,k),8,"none"}); - w.push_back({"near"+std::to_string(k),make_case("wide",16384,8,false,false,11,k),64,"near"}); - } - } else { - w.push_back({"random16",make_case("random",16384),16,"none"}); - w.push_back({"clos800",make_case("clos",800),16,"none"}); - w.push_back({"chain2048",make_case("chain",2048),256,"none"}); - w.push_back({"near16",make_case("random",16384),64,"near"}); - w.push_back({"wide20",make_case("wide",16384,8,false,false,11,1048575),16,"none"}); - w.push_back({"wide25",make_case("wide",16384,8,false,false,11,33554431),16,"none"}); - } - time_workloads(w,"ref",samples,2097152); -} diff --git a/dev/perf/spf_queue/review-2026-10/early-exit.cpp b/dev/perf/spf_queue/review-2026-10/early-exit.cpp deleted file mode 100644 index 3e2619e..0000000 --- a/dev/perf/spf_queue/review-2026-10/early-exit.cpp +++ /dev/null @@ -1,8 +0,0 @@ -#include "netgraph/core/shortest_paths.hpp" -#include -using namespace netgraph::core; -int main(){ - auto g=StrictMultiDiGraph::from_arrays(6,std::vector{0,0,2,0,0,4},std::vector{1,2,1,3,4,5},std::vector{1,10,10,10,10,10},std::vector{1,0,0,1,2,1}); - auto r=shortest_paths(g,0,3,true,EdgeSelection{}); - std::cout<<"target_cost="<(N)); - WorkspaceLease lease{ws}; -+ ws.touched.push_back(src); - ws.dist[static_cast(src)] = static_cast(0); - ws.min_res[static_cast(src)] = std::numeric_limits::max(); -- ws.touched.push_back(src); - BucketPlan plan; - if (use_bucket_queue(g, queue, plan)) { - run_forward(ws.bucket, ws, g, src, dst, multipath, selection, residual, node_mask, edge_mask, plan); -@@ -929,9 +929,9 @@ - WorkspaceLease lease{ws}; - - if (target_allowed) { -+ ws.touched.push_back(target); - ws.dist[static_cast(target)] = static_cast(0); - ws.min_res[static_cast(target)] = std::numeric_limits::max(); -- ws.touched.push_back(target); - BucketPlan plan; - if (use_bucket_queue(g, queue, plan)) { - run_reverse(ws.bucket, ws, g, target, multipath, selection, residual, node_mask, edge_mask, plan); diff --git a/dev/perf/spf_queue/review-2026-10/fault-public.cpp b/dev/perf/spf_queue/review-2026-10/fault-public.cpp deleted file mode 100644 index 7a89b53..0000000 --- a/dev/perf/spf_queue/review-2026-10/fault-public.cpp +++ /dev/null @@ -1,30 +0,0 @@ -#include -#include -#include -static bool fail_four = false; -void* operator new(std::size_t n) { - if (fail_four && n == 4) { fail_four=false; throw std::bad_alloc(); } - if (void* p=std::malloc(n?n:1)) return p; - throw std::bad_alloc(); -} -void operator delete(void* p) noexcept { std::free(p); } -#include "netgraph/core/shortest_paths.hpp" -using namespace netgraph::core; -int main(int argc,char**argv) { - std::string mode=argc>1?argv[1]:"fault"; - EdgeSelection sel; - if(mode=="fault") { - auto g=StrictMultiDiGraph::from_arrays(8,std::vector{1},std::vector{0},std::vector{1},std::vector{1}); - fail_four=true; - try { (void)shortest_paths(g,0,std::nullopt,true,sel); } - catch(const std::bad_alloc&) { std::cout<<"caught forward bad_alloc\n"; } - auto r=shortest_paths(g,1,std::nullopt,true,sel); - std::cout<<"forward distance[0]="<{0},std::vector{1},std::vector{1},std::vector{1}); - fail_four=true; - try { (void)shortest_paths_to(rev,0,true,sel); } - catch(const std::bad_alloc&) { std::cout<<"caught reverse bad_alloc\n"; } - auto t=shortest_paths_to(rev,1,true,sel); - std::cout<<"reverse distance[0]="<, PredDAG> path_result; -+ bool have_path_result = false; - while (true) { - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = require_capacity; - sel.tie_break = EdgeTieBreak::Deterministic; -- auto [dist, dag] = shortest_paths( -+ if (require_capacity || !have_path_result) { -+ path_result = shortest_paths( - g, src, dst, - /*multipath=*/true, - sel, - require_capacity ? fs.residual_view() : std::span{}, - use_node_mask ? node_mask : std::span{}, - use_edge_mask ? edge_mask : std::span{}); -+ have_path_result = true; -+ } -+ const auto& [dist, dag] = path_result; - - // No path if t has no parents in DAG - if (static_cast(dst) >= dag.parent_offsets.size() - 1 || ---- a/src/flow_state.cpp -+++ b/src/flow_state.cpp -@@ -535,14 +535,20 @@ - } - - Flow total = static_cast(0.0); -+ std::pair, PredDAG> path_result; -+ bool have_path_result = false; - while (true) { - EdgeSelection sel; - sel.multi_edge = true; - sel.require_capacity = require_capacity; - sel.tie_break = EdgeTieBreak::Deterministic; -- auto [dist, dag] = shortest_paths(*g_, src, dst, /*multipath=*/true, sel, -+ if (require_capacity || !have_path_result) { -+ path_result = shortest_paths(*g_, src, dst, /*multipath=*/true, sel, - require_capacity ? residual_ : std::span{}, - node_mask, edge_mask); -+ have_path_result = true; -+ } -+ const auto& [dist, dag] = path_result; - if (static_cast(dst) >= dag.parent_offsets.size()-1 || dag.parent_offsets[static_cast(dst)] == dag.parent_offsets[static_cast(dst)+1]) { - break; - } diff --git a/dev/perf/spf_queue/review-2026-10/flow-driver.cpp b/dev/perf/spf_queue/review-2026-10/flow-driver.cpp deleted file mode 100644 index cf7fcb1..0000000 --- a/dev/perf/spf_queue/review-2026-10/flow-driver.cpp +++ /dev/null @@ -1,30 +0,0 @@ -#define main original_harness_main -#include "../harness.cpp" -#undef main -#include "netgraph/core/max_flow.hpp" -#include "netgraph/core/flow_state.hpp" -static void feasible(const StrictMultiDiGraph&g,NodeId s,NodeId t,double f,std::span ef) { - std::vector balance(g.num_nodes());auto src=g.edge_src_view();auto dst=g.edge_dst_view();auto cap=g.capacity_view(); - for(std::size_t e=0;ecap[e]+1e-7)throw std::runtime_error("capacity");balance[src[e]]+=ef[e];balance[dst[e]]-=ef[e];} - for(int v=0;v1e-6)throw std::runtime_error("conservation"); -} -int main() { - std::cout<<"case,median_ms,hash,samples_ms\n"; - for(bool masked:{false,true})for(bool state:{false,true}) { - auto c=make_case("random",4096,8,masked);std::vector samples;std::uint64_t hash=0; - for(int q=0;q<8;++q){c.node_mask[q*17]=true;c.node_mask[2048+q]=true;} - for(int rep=-2;rep<7;++rep){ - std::vector> out;out.reserve(8); - auto start=Clock::now(); - for(int q=0;q<8;++q){ - NodeId s=q*17,t=2048+q; - if(state){FlowState fs(c.graph);double f=fs.place_max_flow(s,t,FlowPlacement::Proportional,false,false,c.nm(),c.em());FlowSummary sm;sm.edge_flows.assign(fs.edge_flow_view().begin(),fs.edge_flow_view().end());out.emplace_back(f,std::move(sm));} - else out.push_back(calc_max_flow(c.graph,s,t,FlowPlacement::Proportional,false,false,true,false,false,c.nm(),c.em())); - } - auto elapsed=ms(start);std::uint64_t h=0; - for(int q=0;q<8;++q){auto&[f,sm]=out[q];feasible(c.graph,q*17,2048+q,f,sm.edge_flows);h=h*31+std::bit_cast(f);for(auto e:sm.edge_flows)h=h*31+std::bit_cast(e);for(auto e:sm.costs)h=h*31+e;for(auto e:sm.flows)h=h*31+std::bit_cast(e);} - if(rep==-2)hash=h;else if(hash!=h)throw std::runtime_error("changed output");if(rep>=0)samples.push_back(elapsed); - } - auto sorted=samples;std::sort(sorted.begin(),sorted.end());std::cout<<(state?"place_max_flow":"calc_max_flow")<<(masked?"_masked":"")<<','<(h.front()); } - QItem pop() { -+ QItem t = h.front(); - std::pop_heap(h.begin(), h.end(), Greater{}); -- QItem t = h.back(); h.pop_back(); return t; -+ h.pop_back(); return t; - } - void push(Cost c, Cap nr, NodeId v) { - h.emplace_back(c, nr, v); diff --git a/dev/perf/spf_queue/review-2026-10/gcd.cpp b/dev/perf/spf_queue/review-2026-10/gcd.cpp deleted file mode 100644 index 7c5ba12..0000000 --- a/dev/perf/spf_queue/review-2026-10/gcd.cpp +++ /dev/null @@ -1,165 +0,0 @@ -/* - StrictMultiDiGraph — immutable directed multigraph with deterministic layout. - - Construction from arrays validates inputs and builds CSR and reverse CSR - adjacency structures. Edges are reordered by (cost, src, dst) to cluster - equal-cost tiers for deterministic traversal. -*/ -#include "netgraph/core/strict_multidigraph.hpp" - -#include -#include -#include - -namespace netgraph::core { - -StrictMultiDiGraph StrictMultiDiGraph::from_arrays( - std::int32_t num_nodes, - std::span src, - std::span dst, - std::span capacity, - std::span cost, - std::span ext_edge_ids) { - - if (num_nodes < 0) { - throw std::invalid_argument("num_nodes must be >= 0"); - } - if (src.size() != dst.size() || src.size() != capacity.size() || src.size() != cost.size()) { - throw std::invalid_argument("src, dst, capacity, and cost must have the same length"); - } - if (!ext_edge_ids.empty() && ext_edge_ids.size() != src.size()) { - throw std::invalid_argument("ext_edge_ids must be empty or have the same length as src/dst/capacity/cost"); - } - StrictMultiDiGraph g; - g.num_nodes_ = num_nodes; - std::size_t m = src.size(); - if (m > static_cast(std::numeric_limits::max())) { - throw std::invalid_argument("number of edges exceeds INT32_MAX"); - } - - // Invariants: ids within [0, num_nodes), non-negative weights. - // SPF accumulates path costs as int64 without overflow checks and uses - // INT64_MAX as the unreachable sentinel, so the total of all edge costs - // (an upper bound on any simple path, and on one reverse-edge bounce) must - // stay below 2^62 or accumulated costs could wrap negative and silently - // corrupt results. - constexpr std::uint64_t kMaxTotalCost = (std::uint64_t{1} << 62); - std::uint64_t total_cost = 0; - Cost max_cost = 0; - Cost cost_gcd = 0; - for (std::size_t i = 0; i < m; ++i) { - if (src[i] < 0 || dst[i] < 0 || src[i] >= num_nodes || dst[i] >= num_nodes) { - throw std::out_of_range("edge index out of range of num_nodes"); - } - if (capacity[i] < 0.0) { - throw std::invalid_argument("capacity must be >= 0"); - } - if (cost[i] < 0) { throw std::invalid_argument("cost must be >= 0"); } - const auto c = static_cast(cost[i]); - if (c >= kMaxTotalCost - total_cost) { - throw std::invalid_argument( - "total edge cost must stay below 2^62: larger accumulated path costs " - "overflow int64 cost arithmetic and silently corrupt results"); - } - total_cost += c; - if (cost[i] > max_cost) max_cost = cost[i]; - if (cost_gcd != 1) cost_gcd = std::gcd(cost_gcd, cost[i]); - } - g.max_cost_ = max_cost; - g.cost_gcd_ = cost_gcd; - // Gather initial arrays - std::vector src_v(src.begin(), src.end()); - std::vector dst_v(dst.begin(), dst.end()); - std::vector cap_v(capacity.begin(), capacity.end()); - std::vector cost_v(cost.begin(), cost.end()); - std::vector ext_v; - if (!ext_edge_ids.empty()) { - ext_v.assign(ext_edge_ids.begin(), ext_edge_ids.end()); - } - - // Sort edges by (cost, src, dst) to cluster equal-cost tiers for deterministic traversal. - // Create an index array [0, 1, 2, ..., m-1] that we'll permute to define the reordering. - std::vector idx(m); - std::iota(idx.begin(), idx.end(), 0); // iota fills with sequential values - - // Cost-first ordering keeps equal-cost tiers clustered; within the same - // cost, maintain stable source/destination ordering for reproducibility. - // stable_sort preserves relative order of equal elements, ensuring determinism. - // Lambda comparator: [&] captures variables by reference, (a, b) are indices to compare. - std::stable_sort(idx.begin(), idx.end(), [&](std::size_t a, std::size_t b) { - if (cost_v[a] != cost_v[b]) return cost_v[a] < cost_v[b]; - if (src_v[a] != src_v[b]) return src_v[a] < src_v[b]; - return dst_v[a] < dst_v[b]; - }); - - // Reorder all edge arrays using the computed permutation. - // Generic lambda (auto parameters) works with any vector type. - auto apply_perm = [&](auto& out_vec, const auto& in_vec) { - out_vec.resize(m); - for (std::size_t i = 0; i < m; ++i) out_vec[i] = in_vec[idx[i]]; - }; - apply_perm(g.src_, src_v); - apply_perm(g.dst_, dst_v); - apply_perm(g.capacity_, cap_v); - apply_perm(g.cost_, cost_v); - if (!ext_v.empty()) { - apply_perm(g.ext_edge_ids_, ext_v); - } - g.edges_ = m; - - // Build CSR (Compressed Sparse Row) adjacency structure. - // For each node u, row_offsets_[u]:row_offsets_[u+1] gives the range in col_indices_ - // that stores u's outgoing neighbors, and adj_edge_index_ stores the corresponding EdgeIds. - - // Step 1: Count outgoing edges per node (histogram). - g.row_offsets_.assign(static_cast(num_nodes) + 1, 0); - for (std::size_t i = 0; i < m; ++i) { - g.row_offsets_[static_cast(g.src_[i]) + 1]++; - } - - // Step 2: Convert counts to cumulative offsets (prefix sum). - // row_offsets_[u] is the starting index for node u's adjacency list. - for (std::size_t i = 1; i < g.row_offsets_.size(); ++i) { - g.row_offsets_[i] += g.row_offsets_[i - 1]; - } - - // Step 3: Fill col_indices_ and adj_edge_index_ arrays. - g.col_indices_.resize(m); - g.adj_edge_index_.resize(m); - // cursor tracks the current write position for each node's adjacency list. - std::vector cursor = g.row_offsets_; // copy for in-place filling - for (std::size_t e = 0; e < m; ++e) { - auto u = g.src_[e]; - auto pos = static_cast(cursor[static_cast(u)]++); - g.col_indices_[pos] = g.dst_[e]; // neighbor node - g.adj_edge_index_[pos] = static_cast(e); // edge index - } - // Build reverse CSR (incoming adjacency) for predecessor tracking. - // Same CSR construction algorithm, but keyed by destination node instead of source. - // This enables efficient lookup of incoming edges for any node. - - // Step 1: Count incoming edges per node. - g.in_row_offsets_.assign(static_cast(num_nodes) + 1, 0); - for (std::size_t i = 0; i < m; ++i) { - g.in_row_offsets_[static_cast(g.dst_[i]) + 1]++; - } - - // Step 2: Convert counts to cumulative offsets. - for (std::size_t i = 1; i < g.in_row_offsets_.size(); ++i) { - g.in_row_offsets_[i] += g.in_row_offsets_[i - 1]; - } - - // Step 3: Fill reverse adjacency arrays. - g.in_col_indices_.resize(m); - g.in_adj_edge_index_.resize(m); - std::vector rcursor = g.in_row_offsets_; - for (std::size_t e = 0; e < m; ++e) { - auto v = g.dst_[e]; - auto pos = static_cast(rcursor[static_cast(v)]++); - g.in_col_indices_[pos] = g.src_[e]; // predecessor node - g.in_adj_edge_index_[pos] = static_cast(e); - } - return g; -} - -} // namespace netgraph::core diff --git a/dev/perf/spf_queue/review-2026-10/gcd.patch b/dev/perf/spf_queue/review-2026-10/gcd.patch deleted file mode 100644 index 44d24db..0000000 --- a/dev/perf/spf_queue/review-2026-10/gcd.patch +++ /dev/null @@ -1,11 +0,0 @@ ---- a/src/strict_multidigraph.cpp -+++ b/src/strict_multidigraph.cpp -@@ -63,7 +63,7 @@ - } - total_cost += c; - if (cost[i] > max_cost) max_cost = cost[i]; -- cost_gcd = std::gcd(cost_gcd, cost[i]); -+ if (cost_gcd != 1) cost_gcd = std::gcd(cost_gcd, cost[i]); - } - g.max_cost_ = max_cost; - g.cost_gcd_ = cost_gcd; diff --git a/dev/perf/spf_queue/review-2026-10/heapitem.patch b/dev/perf/spf_queue/review-2026-10/heapitem.patch deleted file mode 100644 index 65e21b4..0000000 --- a/dev/perf/spf_queue/review-2026-10/heapitem.patch +++ /dev/null @@ -1,26 +0,0 @@ ---- a/src/shortest_paths.cpp -+++ b/src/shortest_paths.cpp -@@ -269,19 +269,20 @@ - constexpr Cost kInf = std::numeric_limits::max(); - constexpr std::size_t kMaxBucketWidth = std::size_t{1} << 16; - --using QItem = std::tuple; -+struct QItem { Cost cost; Cap neg_res; NodeId node; }; -+ - - // Reference queue: binary heap on (cost, -bottleneck, node). Keys are unique per - // push (a node is re-pushed only with a strictly smaller cost or a strictly - // larger bottleneck), so the pop order is fully determined by the key. - struct HeapQueue { - // Functor, not a function pointer: std::push_heap / pop_heap inline it. -- struct Greater { bool operator()(const QItem& a, const QItem& b) const { return a > b; } }; -+ struct Greater { bool operator()(const QItem& a, const QItem& b) const { return a.cost != b.cost ? a.cost > b.cost : (a.neg_res != b.neg_res ? a.neg_res > b.neg_res : a.node > b.node); } }; - std::vector h; - void begin(std::size_t, Cost) { h.clear(); } - void end() { h.clear(); } - bool empty() const { return h.empty(); } -- Cost top_cost() const { return std::get<0>(h.front()); } -+ Cost top_cost() const { return h.front().cost; } - QItem pop() { - std::pop_heap(h.begin(), h.end(), Greater{}); - QItem t = h.back(); h.pop_back(); return t; diff --git a/dev/perf/spf_queue/review-2026-10/inline.patch b/dev/perf/spf_queue/review-2026-10/inline.patch deleted file mode 100644 index 11bf039..0000000 --- a/dev/perf/spf_queue/review-2026-10/inline.patch +++ /dev/null @@ -1,70 +0,0 @@ ---- a/src/shortest_paths.cpp -+++ b/src/shortest_paths.cpp -@@ -304,13 +304,15 @@ - std::vector occ; // one bit per non-empty bucket - std::size_t W = 0, cur_b = 0, pending = 0; - Cost cur = 0, stride = 1; -+ bool inline_item = false; -+ QItem single; - - void begin(std::size_t width, Cost stride_) { - stride = stride_; - W = width; - if (buckets.size() < W) buckets.resize(W); - occ.assign((W + 63) / 64, 0); -- cur = 0; cur_b = 0; pending = 0; -+ cur = 0; cur_b = 0; pending = 0; inline_item = false; - } - // Early exit can leave items behind; clear only the occupied buckets. - void end() { -@@ -323,20 +325,31 @@ - } - occ[w] = 0; - } -- pending = 0; -+ pending = 0; inline_item = false; - } - bool empty() const { return pending == 0; } - std::size_t bucket_of(Cost c) const { - const Cost q = stride == 1 ? c : c / stride; - return static_cast(q % static_cast(W)); - } -- void push(Cost c, Cap nr, NodeId v) { -+ void push_bucket(Cost c, Cap nr, NodeId v) { - const std::size_t b = bucket_of(c); - auto& vec = buckets[b]; - if (vec.empty()) occ[b >> 6] |= (std::uint64_t{1} << (b & 63)); - vec.push_back({nr, v}); - if (b == cur_b) std::push_heap(vec.begin(), vec.end(), Greater{}); - ++pending; -+ } -+ void push(Cost c, Cap nr, NodeId v) { -+ if (pending == 0) { -+ single = {c, nr, v}; inline_item = true; pending = 1; return; -+ } -+ if (inline_item) { -+ inline_item = false; pending = 0; -+ cur_b = bucket_of(cur); -+ push_bucket(std::get<0>(single), std::get<1>(single), std::get<2>(single)); -+ } -+ push_bucket(c, nr, v); - } - // Advance to the next non-empty bucket when the active one is exhausted. - // Precondition: pending > 0. -@@ -352,8 +365,15 @@ - cur += static_cast(steps) * stride; cur_b = f; - std::make_heap(buckets[f].begin(), buckets[f].end(), Greater{}); - } -- Cost top_cost() { settle_active(); return cur; } -+ Cost top_cost() { if (inline_item) return std::get<0>(single); settle_active(); return cur; } - QItem pop() { -+ if (inline_item) { -+ inline_item = false; pending = 0; -+ // Keep cursor tied to the last bucket activation. A later promotion -+ // must first restore the current absolute cost and cyclic index. -+ cur = std::get<0>(single); -+ return single; -+ } - settle_active(); - auto& vec = buckets[cur_b]; - std::pop_heap(vec.begin(), vec.end(), Greater{}); diff --git a/dev/perf/spf_queue/review-2026-10/notouch.patch b/dev/perf/spf_queue/review-2026-10/notouch.patch deleted file mode 100644 index d89d905..0000000 --- a/dev/perf/spf_queue/review-2026-10/notouch.patch +++ /dev/null @@ -1,29 +0,0 @@ ---- a/src/shortest_paths.cpp -+++ b/src/shortest_paths.cpp -@@ -396,7 +396,7 @@ - // Shared reset policy: sparse when few nodes were touched, wholesale otherwise. - // The same predicate decides how outputs are materialised, so the two agree. - template --bool sparse_reset(const WS& ws) { return ws.touched.size() * 4 < ws.dist.size(); } -+bool sparse_reset(const WS&) { return false; } - - template - void ensure_sized(Vec& v, std::size_t n, typename Vec::value_type init) { -@@ -644,7 +644,7 @@ - if (new_cost < dist[v_idx] || - (!multipath && new_cost == dist[v_idx] && !settled[v_idx] && - path_residual > min_residual_to_node[v_idx] + kEpsilon)) { -- if (dist[v_idx] == kInf) ws.touched.push_back(v); -+ - dist[v_idx] = new_cost; - min_residual_to_node[v_idx] = path_residual; - pred_clear(v_idx); -@@ -884,7 +884,7 @@ - if (new_cost < dist[u_idx] || - (!multipath && new_cost == dist[u_idx] && !settled[u_idx] && - path_residual > min_residual_to_dst[u_idx] + kEpsilon)) { -- if (dist[u_idx] == kInf) ws.touched.push_back(u); -+ - dist[u_idx] = new_cost; - min_residual_to_dst[u_idx] = path_residual; - succ_clear(u_idx); diff --git a/dev/perf/spf_queue/review-2026-10/results/append-c.csv b/dev/perf/spf_queue/review-2026-10/results/append-c.csv deleted file mode 100644 index 963e199..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/append-c.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random16,16384,131072,16,none,ref,0,32,37.635792,7,38.207416;37.606375;37.612834;38.542167;37.918750;36.896417;37.635792 -clos800,800,320000,16,none,ref,0,2,31.158875,7,32.008042;31.218041;30.541250;31.576083;30.373084;30.469209;31.158875 -chain2048,2048,2047,256,none,ref,0,32,5.696250,7,5.622625;5.661208;5.606292;5.892458;6.009208;5.816542;5.696250 -near16,16384,131072,64,near,ref,0,32,0.406750,7,0.406542;0.404417;0.408167;0.406750;0.404791;0.409375;0.415750 -wide20,16384,131072,16,none,ref,0,1048570,54.188333,7,54.352083;54.185958;55.721250;54.188333;55.605583;52.820000;53.110667 -wide25,16384,131072,16,none,ref,1,33554196,51.991458,7,51.991458;51.997417;52.447250;52.295000;51.866917;51.883875;51.872750 diff --git a/dev/perf/spf_queue/review-2026-10/results/append.csv b/dev/perf/spf_queue/review-2026-10/results/append.csv deleted file mode 100644 index 6c8c744..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/append.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random16,16384,131072,16,none,ref,0,32,35.207541,7,35.238625;35.097416;35.207541;35.161000;35.137917;35.443708;35.211333 -clos800,800,320000,16,none,ref,0,2,29.755084,7,29.659500;29.755084;30.265916;29.593917;29.666625;31.104000;31.114667 -chain2048,2048,2047,256,none,ref,0,32,5.591333,7,5.560791;5.577542;5.731958;5.845959;5.459833;5.591333;5.787625 -near16,16384,131072,64,near,ref,0,32,0.392125,7,0.392125;0.382834;0.387250;0.393375;0.392000;0.400333;0.393125 -wide20,16384,131072,16,none,ref,0,1048570,50.562958,7,50.479000;50.832333;50.819333;50.634875;50.442125;50.358042;50.562958 -wide25,16384,131072,16,none,ref,1,33554196,52.024125,7,53.655625;53.328708;52.807833;51.244209;52.024125;51.598250;50.987958 diff --git a/dev/perf/spf_queue/review-2026-10/results/bitgate-sha256.txt b/dev/perf/spf_queue/review-2026-10/results/bitgate-sha256.txt deleted file mode 100644 index 5c7d9c6..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/bitgate-sha256.txt +++ /dev/null @@ -1,2 +0,0 @@ -a976f254eced152b14991ba2198351ec7983506f3f1e177c289852ec2bcaab90 dev/perf/spf_queue/review-2026-10/results/bitgate-old.txt -a976f254eced152b14991ba2198351ec7983506f3f1e177c289852ec2bcaab90 dev/perf/spf_queue/review-2026-10/results/bitgate-variant.txt diff --git a/dev/perf/spf_queue/review-2026-10/results/boundary-heap.csv b/dev/perf/spf_queue/review-2026-10/results/boundary-heap.csv deleted file mode 100644 index 9a39655..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/boundary-heap.csv +++ /dev/null @@ -1,15 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -wide32767,16384,131072,8,none,ref,0,32768,27.216125,7,28.146458;28.266458;27.100084;27.216125;27.213083;26.975083;27.599292 -near32767,16384,131072,64,near,ref,0,32768,0.395458,7,0.395458;0.391791;0.388500;0.389708;0.395542;0.395542;0.430625 -wide65534,16384,131072,8,none,ref,0,65535,26.349792,7,26.349792;26.298375;26.907792;26.210750;27.317625;26.253333;26.499417 -near65534,16384,131072,64,near,ref,0,65535,0.389917,7,0.389917;0.390083;0.388792;0.389791;0.390125;0.389750;0.392041 -wide65535,16384,131072,8,none,ref,0,65536,27.174750,7,27.377917;28.266584;26.928917;27.180500;27.174750;26.481250;26.367625 -near65535,16384,131072,64,near,ref,0,65536,0.398709,7,0.380667;0.395583;0.475958;0.724667;0.407708;0.398709;0.394125 -wide65536,16384,131072,8,none,ref,0,65537,26.865125,7,26.781208;26.649750;26.865125;26.975500;27.283250;26.901583;26.306791 -near65536,16384,131072,64,near,ref,0,65537,0.406292,7,0.406375;0.394000;0.394916;0.406292;0.400000;0.407583;0.407459 -wide131071,16384,131072,8,none,ref,0,131072,27.059250,7,26.298084;27.059250;27.075958;27.368333;26.491750;27.280125;26.502750 -near131071,16384,131072,64,near,ref,0,131072,0.389958,7,0.389833;0.389958;0.389042;0.388833;0.440458;0.397708;0.407625 -wide262143,16384,131072,8,none,ref,0,262144,26.460459,7,27.210333;26.460459;25.910166;26.587958;26.447375;27.095792;26.146417 -near262143,16384,131072,64,near,ref,0,262144,0.394750,7,0.394750;0.388334;0.404417;0.399833;0.397458;0.393167;0.393458 -wide1048575,16384,131072,8,none,ref,0,1048570,27.349042,7,27.048000;26.335291;26.375625;27.913125;29.361833;28.475000;27.349042 -near1048575,16384,131072,64,near,ref,0,1048570,0.441584,7,0.397750;0.396167;0.442500;0.448958;0.426250;0.453333;0.441584 diff --git a/dev/perf/spf_queue/review-2026-10/results/boundary-new1.csv b/dev/perf/spf_queue/review-2026-10/results/boundary-new1.csv deleted file mode 100644 index 5e16cdf..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/boundary-new1.csv +++ /dev/null @@ -1,15 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -wide32767,16384,131072,8,none,ref,0,32768,17.627750,7,17.467708;17.788917;17.774958;17.912958;17.627750;17.498041;17.571250 -near32767,16384,131072,64,near,ref,0,32768,0.420792,7,0.420792;0.418875;0.419792;0.424292;0.422000;0.419125;0.450750 -wide65534,16384,131072,8,none,ref,0,65535,18.146791,7,17.373209;18.146791;17.820625;18.424875;18.379041;19.409584;18.128625 -near65534,16384,131072,64,near,ref,0,65535,0.455083,7,0.485750;0.434000;0.433791;0.455083;0.460917;0.459959;0.449458 -wide65535,16384,131072,8,none,ref,0,65536,18.499458,7,18.164084;21.170541;19.691125;18.580833;18.453917;18.499458;17.288917 -near65535,16384,131072,64,near,ref,0,65536,0.434500,7,0.439750;0.494458;0.464708;0.432375;0.434500;0.431833;0.431417 -wide65536,16384,131072,8,none,ref,0,65537,26.490750,7,26.255750;27.382208;26.490750;26.883292;26.491833;26.317709;26.318292 -near65536,16384,131072,64,near,ref,0,65537,0.413542,7,0.413542;0.412375;0.412042;0.422792;0.530541;0.414708;0.412959 -wide131071,16384,131072,8,none,ref,0,131072,26.303167,7,26.388291;26.303167;26.215125;26.181541;26.688667;26.346208;26.260875 -near131071,16384,131072,64,near,ref,0,131072,0.411958,7,0.412792;0.411958;0.412542;0.411333;0.411958;0.413125;0.411833 -wide262143,16384,131072,8,none,ref,0,262144,27.104375,7,27.291750;28.251584;27.074000;27.684125;26.756209;26.675708;27.104375 -near262143,16384,131072,64,near,ref,0,262144,0.418458,7,0.422875;0.416291;0.412375;0.411208;0.418458;0.418916;0.535708 -wide1048575,16384,131072,8,none,ref,0,1048570,27.498000,7,28.209334;26.654250;27.265667;27.498000;28.699583;27.445416;27.548208 -near1048575,16384,131072,64,near,ref,0,1048570,0.419458,7,0.412292;0.409958;0.438000;0.465000;0.417958;0.419458;0.420875 diff --git a/dev/perf/spf_queue/review-2026-10/results/boundary-old1.csv b/dev/perf/spf_queue/review-2026-10/results/boundary-old1.csv deleted file mode 100644 index cf301c2..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/boundary-old1.csv +++ /dev/null @@ -1,15 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -wide32767,16384,131072,8,none,ref,0,32768,25.959000,7,25.920750;25.994708;26.018958;25.959000;25.868584;25.998833;25.945334 -near32767,16384,131072,64,near,ref,0,32768,1.123792,7,1.123792;1.143875;1.312083;1.174542;1.120500;1.118458;1.117542 -wide65534,16384,131072,8,none,ref,0,65535,25.432833,7,25.434417;25.484792;25.432833;25.497625;25.411417;25.386000;25.402792 -near65534,16384,131072,64,near,ref,0,65535,1.131375,7,1.134792;1.131375;1.126750;1.150958;1.130917;1.142292;1.127750 -wide65535,16384,131072,8,none,ref,0,65536,25.641458,7,26.183459;25.641458;25.704083;25.475583;25.608166;26.744875;25.582750 -near65535,16384,131072,64,near,ref,0,65536,1.171208,7,1.171375;1.171208;1.144834;1.162584;1.129458;1.229166;1.239417 -wide65536,16384,131072,8,none,ref,0,65537,25.659250,7,25.589125;25.567500;25.659250;25.878333;25.921041;25.928000;25.645167 -near65536,16384,131072,64,near,ref,0,65537,1.172500,7,1.195500;1.233375;1.134375;1.126542;1.172500;1.192833;1.132958 -wide131071,16384,131072,8,none,ref,0,131072,25.524916,7,25.363959;26.327625;25.538041;25.349375;25.411375;25.524916;25.594667 -near131071,16384,131072,64,near,ref,0,131072,1.128166,7,1.148709;1.154292;1.137500;1.125667;1.128166;1.125709;1.125333 -wide262143,16384,131072,8,none,ref,0,262144,25.191500,7,25.191500;25.104833;25.250792;25.137333;25.226084;25.305292;25.094250 -near262143,16384,131072,64,near,ref,0,262144,1.129625,7,1.129625;1.127042;1.123833;1.136125;1.134375;1.128792;1.140958 -wide1048575,16384,131072,8,none,ref,0,1048570,25.106542,7,25.123750;24.851209;25.116375;25.106542;25.039958;24.997625;25.230250 -near1048575,16384,131072,64,near,ref,0,1048570,1.142375,7,1.179875;1.140000;1.142375;1.240625;1.144541;1.120459;1.122583 diff --git a/dev/perf/spf_queue/review-2026-10/results/boundary-old2.csv b/dev/perf/spf_queue/review-2026-10/results/boundary-old2.csv deleted file mode 100644 index f00beda..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/boundary-old2.csv +++ /dev/null @@ -1,15 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -wide32767,16384,131072,8,none,ref,0,32768,26.271750,7,26.301167;26.686875;26.371917;26.255292;26.271750;26.190042;26.068333 -near32767,16384,131072,64,near,ref,0,32768,1.136167,7,1.182583;1.136167;1.135125;1.136917;1.135708;1.133125;1.143458 -wide65534,16384,131072,8,none,ref,0,65535,25.761125,7,25.856750;26.884209;26.271416;25.761125;25.596167;25.732250;25.505250 -near65534,16384,131072,64,near,ref,0,65535,1.122666,7,1.153667;1.121250;1.114917;1.114459;1.201875;1.122666;1.176334 -wide65535,16384,131072,8,none,ref,0,65536,26.609084,7,26.609084;26.286708;26.560916;27.546417;26.013458;26.998000;27.639542 -near65535,16384,131072,64,near,ref,0,65536,1.149334,7,1.201292;1.135834;1.149334;1.146417;1.154333;1.138625;1.189833 -wide65536,16384,131072,8,none,ref,0,65537,25.453542,7,25.453542;25.423167;25.036875;25.191000;25.708125;26.894000;26.066042 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b/dev/perf/spf_queue/review-2026-10/results/boundary-settled.csv deleted file mode 100644 index b638446..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/boundary-settled.csv +++ /dev/null @@ -1,15 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -wide32767,16384,131072,8,none,ref,0,32768,17.436917,7,19.366000;17.364333;17.382625;16.994875;17.436917;19.600291;17.841792 -near32767,16384,131072,64,near,ref,0,32768,0.414458,7,0.420208;0.413459;0.413458;0.414458;0.832042;0.430917;0.412333 -wide65534,16384,131072,8,none,ref,0,65535,18.717125,7,18.717125;17.463917;17.628958;16.499875;19.448833;19.348125;18.993583 -near65534,16384,131072,64,near,ref,0,65535,0.471833,7,0.493834;0.480708;0.470208;0.470625;0.483500;0.471833;0.470708 -wide65535,16384,131072,8,none,ref,0,65536,19.366166,7,19.366166;18.572250;17.788084;20.007792;20.720959;19.390792;18.908375 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-near1048575,16384,131072,64,near,ref,0,1048570,0.428000,7,0.466750;0.462792;0.421166;0.426500;0.419584;0.436417;0.428000 diff --git a/dev/perf/spf_queue/review-2026-10/results/build-gcd.csv b/dev/perf/spf_queue/review-2026-10/results/build-gcd.csv deleted file mode 100644 index c795d2b..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/build-gcd.csv +++ /dev/null @@ -1,2 +0,0 @@ -random,9.12225,12169309226976897007,9.0255;9.29696;9.24317;8.97583;9.07829;9.15029;9.33504;9.12225;9.08346; -ordered,1.36387,16379939557917917184,1.34192;1.37963;1.37363;1.36387;1.37554;1.36342;1.36637;1.19475;1.25596; diff --git a/dev/perf/spf_queue/review-2026-10/results/build-new1.csv b/dev/perf/spf_queue/review-2026-10/results/build-new1.csv deleted file mode 100644 index b5b70f2..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/build-new1.csv +++ /dev/null @@ -1,2 +0,0 @@ -random,9.16392,12169309226976897007,9.23296;9.28317;9.09125;9.15975;9.1805;9.07479;9.11642;9.16392;9.2345; -ordered,1.42971,16379939557917917184,1.42;1.42271;1.45396;1.44892;1.53179;1.43958;1.42463;1.426;1.42971; diff --git a/dev/perf/spf_queue/review-2026-10/results/build-new2.csv b/dev/perf/spf_queue/review-2026-10/results/build-new2.csv deleted file mode 100644 index ace6a92..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/build-new2.csv +++ /dev/null @@ -1,2 +0,0 @@ -random,9.28858,12169309226976897007,9.44521;9.57671;9.38425;9.28858;9.21017;9.27567;9.307;9.17375;9.10067; -ordered,1.44796,16379939557917917184,1.57033;1.44246;1.42517;1.44796;1.47513;1.44875;1.70025;1.44121;1.43358; diff --git a/dev/perf/spf_queue/review-2026-10/results/build-old1.csv b/dev/perf/spf_queue/review-2026-10/results/build-old1.csv deleted file mode 100644 index a4b41de..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/build-old1.csv +++ /dev/null @@ -1,2 +0,0 @@ -random,9.06046,12169309226976897007,9.02929;9.15596;9.06567;9.11125;8.99808;9.17017;9.01704;9.06046;9.05; -ordered,1.34379,16379939557917917184,1.39417;1.32854;1.34379;1.32638;1.35642;1.32892;1.32942;1.44129;1.37017; diff --git a/dev/perf/spf_queue/review-2026-10/results/build-old2.csv b/dev/perf/spf_queue/review-2026-10/results/build-old2.csv deleted file mode 100644 index c1d84c0..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/build-old2.csv +++ /dev/null @@ -1,2 +0,0 @@ -random,9.13721,12169309226976897007,9.37308;9.16767;9.17583;9.13721;8.98692;9.06342;9.17796;9.13525;9.11583; -ordered,1.37433,16379939557917917184,1.37433;1.36271;1.41938;1.37692;1.36771;1.36867;1.39604;1.38129;1.36892; diff --git a/dev/perf/spf_queue/review-2026-10/results/build-repeat-gcd.csv b/dev/perf/spf_queue/review-2026-10/results/build-repeat-gcd.csv deleted file mode 100644 index 1dabbeb..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/build-repeat-gcd.csv +++ /dev/null @@ -1,2 +0,0 @@ -random,9.32917,12169309226976897007,9.33104;9.60546;8.98971;9.32917;10.0803;9.30875;9.5125;9.26842;9.25737; -ordered,1.41108,16379939557917917184,1.43392;1.41154;1.40246;1.41108;1.4155;1.43271;1.39921;1.30079;1.30358; diff --git a/dev/perf/spf_queue/review-2026-10/results/build-repeat-new1.csv b/dev/perf/spf_queue/review-2026-10/results/build-repeat-new1.csv deleted file mode 100644 index ed3fe22..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/build-repeat-new1.csv +++ /dev/null @@ -1,2 +0,0 @@ -random,9.38404,12169309226976897007,9.69817;9.4765;9.30413;9.89342;9.32408;9.525;9.38404;9.29583;9.32975; -ordered,1.44821,16379939557917917184,1.45875;1.44821;1.47833;1.41417;1.46692;1.45879;1.42346;1.42167;1.43983; diff --git a/dev/perf/spf_queue/review-2026-10/results/build-repeat-new2.csv b/dev/perf/spf_queue/review-2026-10/results/build-repeat-new2.csv deleted file mode 100644 index ab39ff6..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/build-repeat-new2.csv +++ /dev/null @@ -1,2 +0,0 @@ -random,9.31475,12169309226976897007,9.33629;9.25583;9.40537;9.58625;9.47825;9.30892;9.31475;9.11708;9.164; -ordered,1.45571,16379939557917917184,1.48362;1.41492;1.42183;1.41204;1.48937;1.45629;1.49546;1.45571;1.42967; diff --git a/dev/perf/spf_queue/review-2026-10/results/combined.csv b/dev/perf/spf_queue/review-2026-10/results/combined.csv deleted file mode 100644 index ff1c4cf..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/combined.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random16,16384,131072,16,none,ref,0,32,36.724875,7,36.876459;36.764792;36.888208;36.207875;36.669584;36.724875;36.502542 -clos800,800,320000,16,none,ref,0,2,26.326583,7,26.326583;26.456250;26.174583;26.294958;25.905208;26.594291;26.357125 -chain2048,2048,2047,256,none,ref,0,32,5.749834,7,6.107542;5.749834;5.632792;5.484209;5.450416;6.257625;5.891458 -near16,16384,131072,64,near,ref,0,32,0.392708,7,0.396208;0.393666;0.392583;0.392000;0.393166;0.392708;0.392458 -wide20,16384,131072,16,none,ref,0,1048570,52.384667,7,51.748375;52.904292;52.384667;52.881667;52.289333;52.270334;52.416291 -wide25,16384,131072,16,none,ref,1,33554196,52.605833,7,52.605833;51.553042;52.051292;53.022542;52.452708;57.664459;52.894334 diff --git a/dev/perf/spf_queue/review-2026-10/results/correctness-append.txt b/dev/perf/spf_queue/review-2026-10/results/correctness-append.txt deleted file mode 100644 index 24d6ed9..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/correctness-append.txt +++ /dev/null @@ -1 +0,0 @@ -checked=1351168 failed=0 diff --git a/dev/perf/spf_queue/review-2026-10/results/correctness-baseline.txt b/dev/perf/spf_queue/review-2026-10/results/correctness-baseline.txt deleted file mode 100644 index 24d6ed9..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/correctness-baseline.txt +++ /dev/null @@ -1 +0,0 @@ -checked=1351168 failed=0 diff --git a/dev/perf/spf_queue/review-2026-10/results/correctness-inline.txt b/dev/perf/spf_queue/review-2026-10/results/correctness-inline.txt deleted file mode 100644 index 24d6ed9..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/correctness-inline.txt +++ /dev/null @@ -1 +0,0 @@ -checked=1351168 failed=0 diff --git a/dev/perf/spf_queue/review-2026-10/results/correctness-settled.txt b/dev/perf/spf_queue/review-2026-10/results/correctness-settled.txt deleted file mode 100644 index 24d6ed9..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/correctness-settled.txt +++ /dev/null @@ -1 +0,0 @@ -checked=1351168 failed=0 diff --git a/dev/perf/spf_queue/review-2026-10/results/early-new.txt b/dev/perf/spf_queue/review-2026-10/results/early-new.txt deleted file mode 100644 index e4ba7ee..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/early-new.txt +++ /dev/null @@ -1 +0,0 @@ -target_cost=1 beyond_target_cost=3 (node 5 requires expanding distance-2 node 4) diff --git a/dev/perf/spf_queue/review-2026-10/results/early-old.txt b/dev/perf/spf_queue/review-2026-10/results/early-old.txt deleted file mode 100644 index e4ba7ee..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/early-old.txt +++ /dev/null @@ -1 +0,0 @@ -target_cost=1 beyond_target_cost=3 (node 5 requires expanding distance-2 node 4) diff --git a/dev/perf/spf_queue/review-2026-10/results/environment.txt b/dev/perf/spf_queue/review-2026-10/results/environment.txt deleted file mode 100644 index b12a313..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/environment.txt +++ /dev/null @@ -1,17 +0,0 @@ -Fri Oct 2 01:24:25 UTC 2026 -Darwin mbp_andrey.lan 25.6.0 Darwin Kernel Version 25.6.0: Sat Jul 11 15:27:27 PDT 2026; root:xnu-12377.161.13~4/RELEASE_ARM64_T6041 arm64 -Apple M4 Max -fbab119e794c843838f4f3f96d75cb7f32f06845 -Apple clang version 21.0.0 (clang-2100.1.1.101) -Target: arm64-apple-darwin25.6.0 -Thread model: posix -InstalledDir: 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deleted file mode 100644 index 4157487..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/fault-fixed.txt +++ /dev/null @@ -1,4 +0,0 @@ -caught forward bad_alloc -forward distance[0]=1 expected=1 -caught reverse bad_alloc -reverse distance[0]=1 expected=1 diff --git a/dev/perf/spf_queue/review-2026-10/results/fault-old.txt b/dev/perf/spf_queue/review-2026-10/results/fault-old.txt deleted file mode 100644 index 4157487..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/fault-old.txt +++ /dev/null @@ -1,4 +0,0 @@ -caught forward bad_alloc -forward distance[0]=1 expected=1 -caught reverse bad_alloc -reverse distance[0]=1 expected=1 diff --git a/dev/perf/spf_queue/review-2026-10/results/fault.txt b/dev/perf/spf_queue/review-2026-10/results/fault.txt deleted file mode 100644 index 7043974..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/fault.txt +++ /dev/null @@ -1,4 +0,0 @@ -caught forward bad_alloc -forward distance[0]=9223372036854775807 expected=1 -caught reverse bad_alloc -reverse distance[0]=9223372036854775807 expected=1 diff --git a/dev/perf/spf_queue/review-2026-10/results/final-sha256.txt b/dev/perf/spf_queue/review-2026-10/results/final-sha256.txt deleted file mode 100644 index e4b68e8..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/final-sha256.txt +++ /dev/null @@ -1,68 +0,0 @@ -2744894b016d205e8c2d27124702b8584a16c01768d0b478e43ddda37133118b build/perf/review-append -e48e8976f1a0dea1c4bd6edfdd1a4490b7a5e00b40892871a1580ae5680c5106 build/perf/review-baseline -f1930794735764cb2d83f93c3cb5fb3cea0bfaaa631cf6b35939054e95a80b87 build/perf/review-build-baseline -aca82c7a96944ea868506171cb3ecceb62d31555b927ab5aae5233fa1bcafea2 build/perf/review-build-gcd -0dbb455ca3bc0d9fc1cc73ee2ddf9ef88f06634b4d138a0dcf242ba778d9f9c4 build/perf/review-build-old -7cb163b801210c385d0b058833a977b09c0ce2061ea2b6755ddd51064fc5869a build/perf/review-combined -a4685d608080bbac1904e2884fc306a9de971129c8d4098691c061d77e50fb76 build/perf/review-early-new 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a/dev/perf/spf_queue/review-2026-10/results/flow-fixed.csv +++ /dev/null @@ -1,5 +0,0 @@ -case,median_ms,hash,samples_ms -calc_max_flow,4.48646,17694640663380043544,5.64775;4.78913;4.61479;4.48646;4.03329;4.01167;3.85121; -place_max_flow,2.13392,7688852859487360956,2.13375;2.13392;2.16279;2.223;2.05733;2.11654;2.21879; -calc_max_flow_masked,3.53092,9889262484581709037,3.53092;3.60033;3.58104;3.63612;3.50758;3.42379;3.39221; -place_max_flow_masked,1.69258,17611571108701524338,1.66437;1.69258;1.68496;1.68037;1.81683;1.83758;1.73129; diff --git a/dev/perf/spf_queue/review-2026-10/results/flow-new1.csv b/dev/perf/spf_queue/review-2026-10/results/flow-new1.csv deleted file mode 100644 index 46ed257..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/flow-new1.csv +++ /dev/null @@ -1,5 +0,0 @@ -case,median_ms,hash,samples_ms -calc_max_flow,5.13942,17694640663380043544,5.13942;5.10746;5.1655;5.18054;5.18562;5.04467;5.0835; -place_max_flow,3.85738,7688852859487360956,3.99929;3.89029;4.10267;3.83567;3.80596;3.85738;3.74071; -calc_max_flow_masked,4.94221,9889262484581709037,4.97875;4.96592;4.87587;4.852;4.91233;4.94221;4.98758; -place_max_flow_masked,3.09025,17611571108701524338,3.1895;3.08596;3.09504;3.09025;2.93175;2.93383;3.11563; diff --git a/dev/perf/spf_queue/review-2026-10/results/flow-new2.csv b/dev/perf/spf_queue/review-2026-10/results/flow-new2.csv deleted file mode 100644 index da00167..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/flow-new2.csv +++ /dev/null @@ -1,5 +0,0 @@ -case,median_ms,hash,samples_ms -calc_max_flow,4.97171,17694640663380043544,12.4792;5.39579;4.84162;4.97171;4.92546;4.85942;5.09742; -place_max_flow,3.78354,7688852859487360956,3.86612;4.03892;3.81296;3.77933;3.77858;3.77338;3.78354; -calc_max_flow_masked,4.84563,9889262484581709037,4.76683;4.93637;4.70108;4.87838;4.74988;4.87417;4.84563; -place_max_flow_masked,2.95096,17611571108701524338,3.04258;2.95096;2.95379;2.94037;2.93587;3.03713;2.88842; diff --git a/dev/perf/spf_queue/review-2026-10/results/flow-old1.csv b/dev/perf/spf_queue/review-2026-10/results/flow-old1.csv deleted file mode 100644 index ab82099..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/flow-old1.csv +++ /dev/null @@ -1,5 +0,0 @@ -case,median_ms,hash,samples_ms -calc_max_flow,7.10546,17694640663380043544,7.31242;7.09342;7.04033;7.10546;6.95367;7.22346;7.20029; -place_max_flow,5.75662,7688852859487360956,5.85796;5.75662;6.00521;5.74729;6.26367;5.69708;5.68617; -calc_max_flow_masked,6.03229,9889262484581709037,6.01621;6.01492;6.09821;6.08133;6.05596;6.03229;5.88475; -place_max_flow_masked,4.25525,17611571108701524338,4.16933;4.25525;4.1865;4.20538;4.41496;4.33842;4.36954; diff --git a/dev/perf/spf_queue/review-2026-10/results/flow-old2.csv b/dev/perf/spf_queue/review-2026-10/results/flow-old2.csv deleted file mode 100644 index 011041b..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/flow-old2.csv +++ /dev/null @@ -1,5 +0,0 @@ -case,median_ms,hash,samples_ms -calc_max_flow,6.90321,17694640663380043544,7.05717;7.08817;6.90321;6.98071;6.71904;6.76312;6.74846; -place_max_flow,5.64579,7688852859487360956,5.64337;5.49796;5.64579;5.71962;5.80021;5.50375;5.68417; -calc_max_flow_masked,6.03338,9889262484581709037,6.05592;5.85275;6.01258;5.94246;6.03558;6.03338;6.18562; -place_max_flow_masked,4.1495,17611571108701524338,4.27125;4.15796;4.13183;4.11067;4.1495;4.16883;4.12979; diff --git a/dev/perf/spf_queue/review-2026-10/results/frontpop.csv b/dev/perf/spf_queue/review-2026-10/results/frontpop.csv deleted file mode 100644 index 3510c69..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/frontpop.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random16,16384,131072,16,none,ref,0,32,65.101375,7,64.946167;64.845875;65.101375;66.617167;65.057041;65.682500;66.550625 -clos800,800,320000,16,none,ref,0,2,36.453708,7,36.859000;36.501083;36.235875;36.292584;36.453708;36.801833;36.208833 -chain2048,2048,2047,256,none,ref,0,32,3.965958,7,3.979875;3.971083;3.965958;3.944334;3.945583;4.008875;3.904917 -near16,16384,131072,64,near,ref,0,32,0.399084,7,0.401458;0.397583;0.398417;0.399084;0.413459;0.399000;0.400584 -wide20,16384,131072,16,none,ref,0,1048570,52.007125,7,51.567083;51.588583;53.758542;51.699834;52.041208;52.007125;53.121209 -wide25,16384,131072,16,none,ref,1,33554196,52.792000,7,52.439583;52.826333;52.792000;51.533250;53.775917;52.867667;51.741292 diff --git a/dev/perf/spf_queue/review-2026-10/results/heap-a1.csv b/dev/perf/spf_queue/review-2026-10/results/heap-a1.csv deleted file mode 100644 index c17721f..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/heap-a1.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random16,16384,131072,16,none,ref,0,32,65.364334,7,64.756958;65.060417;65.364334;65.463167;65.001625;68.270959;66.302125 -clos800,800,320000,16,none,ref,0,2,36.700709,7,36.959416;37.673333;37.636916;36.700709;35.915000;35.896875;35.791000 -chain2048,2048,2047,256,none,ref,0,32,3.833208,7,3.968084;3.818500;3.833208;3.799833;3.817417;3.895208;3.882750 -near16,16384,131072,64,near,ref,0,32,0.398833,7,0.398500;0.405291;0.396542;0.413500;0.398833;0.399917;0.394875 -wide20,16384,131072,16,none,ref,0,1048570,52.299333,7,51.901458;52.139167;51.921916;53.186583;52.547000;52.299333;52.796500 -wide25,16384,131072,16,none,ref,1,33554196,53.495500,7,53.457000;54.495542;53.495500;52.239750;53.158500;60.914167;54.363500 diff --git a/dev/perf/spf_queue/review-2026-10/results/heap-a2.csv b/dev/perf/spf_queue/review-2026-10/results/heap-a2.csv deleted file mode 100644 index fbe8c21..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/heap-a2.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random16,16384,131072,16,none,ref,0,32,66.959792,7,66.386958;67.185125;66.959792;66.987375;67.456792;66.839292;66.192000 -clos800,800,320000,16,none,ref,0,2,38.442333,7,38.359708;38.193083;38.292875;38.442333;38.770833;38.635042;38.761959 -chain2048,2048,2047,256,none,ref,0,32,3.979125,7,4.027625;3.979125;4.017958;3.958625;3.933666;3.968250;4.100041 -near16,16384,131072,64,near,ref,0,32,0.408334,7,0.408334;0.419542;0.399500;0.417125;0.396375;0.395500;0.467042 -wide20,16384,131072,16,none,ref,0,1048570,53.113375,7,55.139833;53.365250;55.346916;52.507042;52.512042;52.528292;53.113375 -wide25,16384,131072,16,none,ref,1,33554196,52.646833,7,52.678042;52.766708;52.343250;52.677500;52.646833;52.270042;52.505291 diff --git a/dev/perf/spf_queue/review-2026-10/results/heap-b.csv b/dev/perf/spf_queue/review-2026-10/results/heap-b.csv deleted file mode 100644 index ab7c51b..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/heap-b.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random16,16384,131072,16,none,ref,0,32,64.951416,7,65.302459;65.453125;65.329416;64.659166;64.446250;64.951416;64.798125 -clos800,800,320000,16,none,ref,0,2,36.226458,7,37.005584;36.537167;36.034083;36.226458;36.123375;36.493833;35.697291 -chain2048,2048,2047,256,none,ref,0,32,3.839833,7,3.794083;3.867417;3.791833;3.912125;3.839833;3.788834;3.859667 -near16,16384,131072,64,near,ref,0,32,0.395334,7,0.397834;0.406833;0.417958;0.395334;0.394542;0.395083;0.394875 -wide20,16384,131072,16,none,ref,0,1048570,52.248167,7,51.969083;52.299750;52.537667;53.162542;52.145375;52.248167;52.134541 -wide25,16384,131072,16,none,ref,1,33554196,52.650625,7,56.771042;52.650625;52.413416;53.770875;51.828708;52.274333;52.884625 diff --git a/dev/perf/spf_queue/review-2026-10/results/heapitem.csv b/dev/perf/spf_queue/review-2026-10/results/heapitem.csv deleted file mode 100644 index a8d22f9..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/heapitem.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random16,16384,131072,16,none,ref,0,32,63.692209,7,63.582792;63.341250;63.692209;64.101500;62.794375;63.752166;64.545166 -clos800,800,320000,16,none,ref,0,2,36.740125,7,36.518208;36.507958;37.177708;36.930292;36.740125;36.797583;36.663875 -chain2048,2048,2047,256,none,ref,0,32,3.830709,7,3.828250;3.830709;3.863875;3.904916;3.865083;3.727083;3.738709 -near16,16384,131072,64,near,ref,0,32,0.401250,7,0.401167;0.421708;0.406167;0.398958;0.404458;0.401250;0.394708 -wide20,16384,131072,16,none,ref,0,1048570,55.679208,7,55.679208;54.908417;55.376417;55.983709;55.692125;55.792750;55.223375 -wide25,16384,131072,16,none,ref,1,33554196,55.341667,7,55.341667;54.808333;54.961084;56.034541;58.019625;56.560750;53.575291 diff --git a/dev/perf/spf_queue/review-2026-10/results/inline-c.csv b/dev/perf/spf_queue/review-2026-10/results/inline-c.csv deleted file mode 100644 index eea0177..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/inline-c.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random16,16384,131072,16,none,ref,0,32,37.301584,7,38.150125;36.608291;36.901625;37.301584;37.162167;38.334875;38.687125 -clos800,800,320000,16,none,ref,0,2,36.877125,7,37.527166;36.744125;36.877125;38.040291;37.015458;36.548667;36.728291 -chain2048,2048,2047,256,none,ref,0,32,3.618334,7,3.663250;3.590083;3.618334;3.732833;3.579958;3.576042;3.697333 -near16,16384,131072,64,near,ref,0,32,0.398833,7,0.404917;0.398667;0.398209;0.400166;0.398417;0.398833;0.409833 -wide20,16384,131072,16,none,ref,0,1048570,54.109250,7,53.218667;53.234042;52.633916;54.959083;54.398584;54.646250;54.109250 -wide25,16384,131072,16,none,ref,1,33554196,52.257916,7,51.796250;52.257916;52.638666;51.878834;51.613834;52.369708;52.386042 diff --git a/dev/perf/spf_queue/review-2026-10/results/inline.csv b/dev/perf/spf_queue/review-2026-10/results/inline.csv deleted file mode 100644 index aa86258..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/inline.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random16,16384,131072,16,none,ref,0,32,36.222334,7,36.340209;36.811125;36.222334;36.304458;35.971375;35.917041;36.017125 -clos800,800,320000,16,none,ref,0,2,35.565125,7,35.587916;35.565125;35.683458;35.919167;35.414541;35.554083;35.558292 -chain2048,2048,2047,256,none,ref,0,32,3.540667,7,3.521250;3.546916;3.657333;3.527917;3.520250;3.584084;3.540667 -near16,16384,131072,64,near,ref,0,32,0.398500,7,0.400458;0.393000;0.392417;0.398500;0.401208;0.395834;0.439000 -wide20,16384,131072,16,none,ref,0,1048570,52.062375,7,50.544250;50.945583;52.159042;53.085375;52.836917;52.062375;51.674417 -wide25,16384,131072,16,none,ref,1,33554196,50.749417,7,50.995958;50.749417;50.962750;50.671917;50.935917;50.605375;50.528250 diff --git a/dev/perf/spf_queue/review-2026-10/results/load-flow-screen.txt b/dev/perf/spf_queue/review-2026-10/results/load-flow-screen.txt deleted file mode 100644 index 9e06b03..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/load-flow-screen.txt +++ /dev/null @@ -1,5 +0,0 @@ - 2:34 up 52 days, 7:10, 3 users, load averages: 3.54 4.58 3.94 - 2:34 up 52 days, 7:10, 3 users, load averages: 3.54 4.58 3.94 - 2:34 up 52 days, 7:10, 3 users, load averages: 3.54 4.58 3.94 - 2:34 up 52 days, 7:10, 3 users, load averages: 3.54 4.58 3.94 - 2:34 up 52 days, 7:10, 3 users, load averages: 3.54 4.58 3.94 diff --git a/dev/perf/spf_queue/review-2026-10/results/load-flow.txt b/dev/perf/spf_queue/review-2026-10/results/load-flow.txt deleted file mode 100644 index f1cb9c1..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/load-flow.txt +++ /dev/null @@ -1,5 +0,0 @@ - 2:35 up 52 days, 7:11, 3 users, load averages: 4.76 4.70 4.02 - 2:35 up 52 days, 7:11, 3 users, load averages: 4.76 4.70 4.02 - 2:35 up 52 days, 7:11, 3 users, load averages: 4.76 4.70 4.02 - 2:35 up 52 days, 7:11, 3 users, load averages: 4.46 4.64 4.01 - 2:35 up 52 days, 7:11, 3 users, load averages: 4.46 4.64 4.01 diff --git a/dev/perf/spf_queue/review-2026-10/results/load-second.txt b/dev/perf/spf_queue/review-2026-10/results/load-second.txt deleted file mode 100644 index 248ed13..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/load-second.txt +++ /dev/null @@ -1,24 +0,0 @@ -old-b1 2:28 up 52 days, 7:04, 3 users, load averages: 3.66 3.48 3.15 -new-b1 2:28 up 52 days, 7:04, 3 users, load averages: 3.66 3.48 3.15 -settled-b 2:28 up 52 days, 7:04, 3 users, load averages: 3.66 3.48 3.15 -inline 2:28 up 52 days, 7:04, 3 users, load averages: 3.53 3.45 3.14 -append 2:28 up 52 days, 7:04, 3 users, load averages: 3.53 3.45 3.14 -frontpop 2:28 up 52 days, 7:04, 3 users, load averages: 3.57 3.46 3.15 -heap-b 2:29 up 52 days, 7:04, 3 users, load averages: 3.57 3.46 3.15 -new-b2 2:29 up 52 days, 7:04, 3 users, load averages: 3.60 3.47 3.15 -old-b2 2:29 up 52 days, 7:04, 3 users, load averages: 3.60 3.47 3.15 -build-old1 2:29 up 52 days, 7:04, 3 users, load averages: 3.60 3.47 3.15 -build-new1 2:29 up 52 days, 7:04, 3 users, load averages: 3.60 3.47 3.15 -build-gcd 2:29 up 52 days, 7:04, 3 users, load averages: 4.67 3.69 3.23 -build-new2 2:29 up 52 days, 7:04, 3 users, load averages: 4.67 3.69 3.23 -build-old2 2:29 up 52 days, 7:04, 3 users, load averages: 4.67 3.69 3.23 -reverse-old1 2:29 up 52 days, 7:04, 3 users, load averages: 4.67 3.69 3.23 -reverse-new1 2:29 up 52 days, 7:04, 3 users, load averages: 4.67 3.69 3.23 -reverse-heap 2:29 up 52 days, 7:04, 3 users, load averages: 4.67 3.69 3.23 -reverse-settled 2:29 up 52 days, 7:04, 3 users, load averages: 4.67 3.69 3.23 -reverse-old2 2:29 up 52 days, 7:04, 3 users, load averages: 4.67 3.69 3.23 -boundary-old1 2:29 up 52 days, 7:04, 3 users, load averages: 4.67 3.69 3.23 -boundary-new1 2:29 up 52 days, 7:04, 3 users, load averages: 4.46 3.67 3.22 -boundary-heap 2:29 up 52 days, 7:04, 3 users, load averages: 4.46 3.67 3.22 -boundary-settled 2:29 up 52 days, 7:05, 3 users, load averages: 4.42 3.67 3.23 -boundary-old2 2:29 up 52 days, 7:05, 3 users, load averages: 4.42 3.67 3.23 diff --git a/dev/perf/spf_queue/review-2026-10/results/load-third.txt b/dev/perf/spf_queue/review-2026-10/results/load-third.txt deleted file mode 100644 index ed7b1df..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/load-third.txt +++ /dev/null @@ -1,10 +0,0 @@ -old-c1 2:31 up 52 days, 7:07, 3 users, load averages: 8.46 5.42 3.97 -new-c1 2:31 up 52 days, 7:07, 3 users, load averages: 8.19 5.41 3.98 -append-c 2:31 up 52 days, 7:07, 3 users, load averages: 8.19 5.41 3.98 -combined 2:31 up 52 days, 7:07, 3 users, load averages: 8.19 5.41 3.98 -inline-c 2:31 up 52 days, 7:07, 3 users, load averages: 7.93 5.41 3.98 -new-c2 2:31 up 52 days, 7:07, 3 users, load averages: 7.93 5.41 3.98 -old-c2 2:31 up 52 days, 7:07, 3 users, load averages: 8.26 5.51 4.03 -build-repeat-new1 2:31 up 52 days, 7:07, 3 users, load averages: 8.26 5.51 4.03 -build-repeat-gcd 2:31 up 52 days, 7:07, 3 users, load averages: 8.26 5.51 4.03 -build-repeat-new2 2:31 up 52 days, 7:07, 3 users, load averages: 8.26 5.51 4.03 diff --git a/dev/perf/spf_queue/review-2026-10/results/load.txt b/dev/perf/spf_queue/review-2026-10/results/load.txt deleted file mode 100644 index 6437b22..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/load.txt +++ /dev/null @@ -1,12 +0,0 @@ -old-a1 2:24 up 52 days, 7 hrs, 3 users, load averages: 3.69 3.44 3.03 -new-a1 2:24 up 52 days, 7 hrs, 3 users, load averages: 3.69 3.44 3.03 -heap-a1 2:24 up 52 days, 7 hrs, 3 users, load averages: 4.04 3.52 3.06 -settled 2:24 up 52 days, 7 hrs, 3 users, load averages: 4.04 3.52 3.06 -settled-heap 2:24 up 52 days, 7 hrs, 3 users, load averages: 4.11 3.54 3.07 -singleton 2:24 up 52 days, 7 hrs, 3 users, load averages: 4.11 3.54 3.07 -heapitem 2:24 up 52 days, 7 hrs, 3 users, load averages: 4.42 3.61 3.10 -notouch 2:24 up 52 days, 7 hrs, 3 users, load averages: 4.42 3.61 3.10 -new-a2 2:24 up 52 days, 7 hrs, 3 users, load averages: 4.39 3.62 3.10 -heap-a2 2:24 up 52 days, 7 hrs, 3 users, load averages: 4.39 3.62 3.10 -old-a2 2:24 up 52 days, 7 hrs, 3 users, load averages: 4.39 3.62 3.10 -end 2:24 up 52 days, 7 hrs, 3 users, load averages: 4.28 3.61 3.10 diff --git a/dev/perf/spf_queue/review-2026-10/results/memory.txt b/dev/perf/spf_queue/review-2026-10/results/memory.txt deleted file mode 100644 index 5f003a1..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/memory.txt +++ /dev/null @@ -1,3 +0,0 @@ -after 1 graphs: bucket item capacity bytes=16400 N=1027 E=1026 peak_queue=1024 -after 63 graphs: bucket item capacity bytes=1032208 N=1027 E=1026 peak_queue=1024 -after N=2 graph: bucket item capacity bytes=1032208 dist_capacity=2 diff --git a/dev/perf/spf_queue/review-2026-10/results/netgraph-environment.txt b/dev/perf/spf_queue/review-2026-10/results/netgraph-environment.txt deleted file mode 100644 index 16d68f0..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/netgraph-environment.txt +++ /dev/null @@ -1,16 +0,0 @@ -old1 2:32 up 52 days, 7:08, 3 users, load averages: 5.87 5.41 4.09 -91dc3b7e2bd3611d54d762e0fb1f875881138d66843866990f019cddfec5cc2c /Users/networmix/ws/NetGraph-Core-main/venv/lib/python3.14/site-packages/_netgraph_core.cpython-314-darwin.so -/Users/networmix/ws/NetGraph-Core-main/venv/lib/python3.14/site-packages/_netgraph_core.cpython-314-darwin.so -/Users/networmix/ws/NetGraph-Core-main/python/netgraph_core/__init__.py -new 2:32 up 52 days, 7:08, 3 users, load averages: 5.64 5.37 4.08 -996ae1c6aef243b9950c345651c901b155b375da2fc429d00f079de0df67e116 /Users/networmix/ws/NetGraph-Core/venv/lib/python3.14/site-packages/_netgraph_core.cpython-314-darwin.so -/Users/networmix/ws/NetGraph-Core/venv/lib/python3.14/site-packages/_netgraph_core.cpython-314-darwin.so -/Users/networmix/ws/NetGraph-Core/python/netgraph_core/__init__.py -heap 2:32 up 52 days, 7:08, 3 users, load averages: 5.64 5.37 4.08 -996ae1c6aef243b9950c345651c901b155b375da2fc429d00f079de0df67e116 /Users/networmix/ws/NetGraph-Core/venv/lib/python3.14/site-packages/_netgraph_core.cpython-314-darwin.so -/Users/networmix/ws/NetGraph-Core/venv/lib/python3.14/site-packages/_netgraph_core.cpython-314-darwin.so -/Users/networmix/ws/NetGraph-Core/python/netgraph_core/__init__.py -old2 2:32 up 52 days, 7:08, 3 users, load averages: 5.74 5.40 4.10 -91dc3b7e2bd3611d54d762e0fb1f875881138d66843866990f019cddfec5cc2c /Users/networmix/ws/NetGraph-Core-main/venv/lib/python3.14/site-packages/_netgraph_core.cpython-314-darwin.so -/Users/networmix/ws/NetGraph-Core-main/venv/lib/python3.14/site-packages/_netgraph_core.cpython-314-darwin.so -/Users/networmix/ws/NetGraph-Core-main/python/netgraph_core/__init__.py diff --git a/dev/perf/spf_queue/review-2026-10/results/netgraph-heap.csv b/dev/perf/spf_queue/review-2026-10/results/netgraph-heap.csv deleted file mode 100644 index 67501d0..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/netgraph-heap.csv +++ /dev/null @@ -1,5 +0,0 @@ -workload,label,median_s,samples,checksum,samples_s -spf_full_clos_200x200,heap,0.215680,5,946e7cf8b5a36980,0.215093;0.215680;0.217045;0.214475;0.215709 -spf_full_grid_100x100_weighted,heap,0.235446,5,4c2f7751ff9a5057,0.235446;0.235428;0.234089;0.236250;0.238091 -maxflow_grid_100x100_weighted_combine,heap,0.216545,5,b0453b641647871b,0.216545;0.214937;0.219780;0.215704;0.216563 -placement_backbone_clos,heap,0.067445,5,a3bbef71a61656e1,0.068307;0.068552;0.067445;0.067098;0.066769 diff --git a/dev/perf/spf_queue/review-2026-10/results/netgraph-new.csv b/dev/perf/spf_queue/review-2026-10/results/netgraph-new.csv deleted file mode 100644 index a4840b0..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/netgraph-new.csv +++ /dev/null @@ -1,5 +0,0 @@ -workload,label,median_s,samples,checksum,samples_s -spf_full_clos_200x200,new,0.215551,5,946e7cf8b5a36980,0.215551;0.215907;0.218243;0.214622;0.214636 -spf_full_grid_100x100_weighted,new,0.169151,5,4c2f7751ff9a5057,0.171143;0.169339;0.168719;0.169148;0.169151 -maxflow_grid_100x100_weighted_combine,new,0.160344,5,b0453b641647871b,0.160344;0.159538;0.159366;0.161421;0.160476 -placement_backbone_clos,new,0.067171,5,a3bbef71a61656e1,0.067222;0.067171;0.067064;0.066943;0.069957 diff --git a/dev/perf/spf_queue/review-2026-10/results/netgraph-old1.csv b/dev/perf/spf_queue/review-2026-10/results/netgraph-old1.csv deleted file mode 100644 index 060b57b..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/netgraph-old1.csv +++ /dev/null @@ -1,5 +0,0 @@ -workload,label,median_s,samples,checksum,samples_s -spf_full_clos_200x200,old1,0.212167,5,946e7cf8b5a36980,0.212167;0.211826;0.211942;0.215837;0.213694 -spf_full_grid_100x100_weighted,old1,0.219249,5,4c2f7751ff9a5057,0.220500;0.219115;0.219249;0.219192;0.219299 -maxflow_grid_100x100_weighted_combine,old1,0.201715,5,b0453b641647871b,0.201715;0.200953;0.200980;0.201761;0.202154 -placement_backbone_clos,old1,0.068333,5,a3bbef71a61656e1,0.071259;0.069470;0.068333;0.067665;0.067146 diff --git a/dev/perf/spf_queue/review-2026-10/results/netgraph-old2.csv b/dev/perf/spf_queue/review-2026-10/results/netgraph-old2.csv deleted file mode 100644 index 8fb46d2..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/netgraph-old2.csv +++ /dev/null @@ -1,5 +0,0 @@ -workload,label,median_s,samples,checksum,samples_s -spf_full_clos_200x200,old2,0.212584,5,946e7cf8b5a36980,0.215052;0.213002;0.212584;0.211673;0.211985 -spf_full_grid_100x100_weighted,old2,0.219160,5,4c2f7751ff9a5057,0.219166;0.219314;0.219160;0.218651;0.218967 -maxflow_grid_100x100_weighted_combine,old2,0.204482,5,b0453b641647871b,0.204155;0.205131;0.202814;0.206448;0.204482 -placement_backbone_clos,old2,0.068736,5,a3bbef71a61656e1,0.073860;0.068736;0.069312;0.067899;0.067647 diff --git a/dev/perf/spf_queue/review-2026-10/results/new-a1.csv b/dev/perf/spf_queue/review-2026-10/results/new-a1.csv deleted file mode 100644 index 437e0c8..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/new-a1.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random16,16384,131072,16,none,ref,0,32,36.102459,7,35.199334;35.690875;38.373709;38.308667;36.978666;35.956458;36.102459 -clos800,800,320000,16,none,ref,0,2,34.775459,7,34.500583;34.933417;35.096750;34.769667;34.775459;34.758333;34.956375 -chain2048,2048,2047,256,none,ref,0,32,5.474458,7,5.474458;5.427250;5.537375;5.544917;5.404750;5.244750;5.608208 -near16,16384,131072,64,near,ref,0,32,0.399542,7,0.405667;0.398833;0.399542;0.397875;0.397334;0.401334;0.527208 -wide20,16384,131072,16,none,ref,0,1048570,53.540750,7,54.768666;53.546709;53.889500;53.540750;51.955959;51.682333;51.324000 -wide25,16384,131072,16,none,ref,1,33554196,51.896333,7,51.418416;51.288208;51.196500;52.728375;51.896333;52.195541;51.900459 diff --git a/dev/perf/spf_queue/review-2026-10/results/new-a2.csv b/dev/perf/spf_queue/review-2026-10/results/new-a2.csv deleted file mode 100644 index 1c162b2..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/new-a2.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random16,16384,131072,16,none,ref,0,32,35.831792,7,36.189667;35.773375;35.695792;35.831792;35.725083;36.297667;36.324250 -clos800,800,320000,16,none,ref,0,2,35.326334,7,35.498916;35.326334;35.124375;35.321917;35.321917;36.149375;35.790500 -chain2048,2048,2047,256,none,ref,0,32,5.512958,7,5.512958;5.298833;5.615125;5.432375;5.915125;5.433833;5.638750 -near16,16384,131072,64,near,ref,0,32,0.400833,7,0.441875;0.400833;0.399042;0.400542;0.401750;0.402708;0.397625 -wide20,16384,131072,16,none,ref,0,1048570,53.120167,7,53.321333;53.068083;53.353167;52.922958;52.360084;53.120167;53.810084 -wide25,16384,131072,16,none,ref,1,33554196,53.291750,7,52.971000;53.298666;53.693958;52.207583;53.393625;53.291750;53.217625 diff --git a/dev/perf/spf_queue/review-2026-10/results/new-b1.csv b/dev/perf/spf_queue/review-2026-10/results/new-b1.csv deleted file mode 100644 index 8a65069..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/new-b1.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random16,16384,131072,16,none,ref,0,32,36.437375,7,36.458750;36.437375;38.069833;36.224666;36.010291;36.396042;37.253792 -clos800,800,320000,16,none,ref,0,2,35.225250,7,34.455709;35.475875;35.529291;35.883833;35.225250;35.163875;34.286250 -chain2048,2048,2047,256,none,ref,0,32,5.232375,7,5.232375;5.161833;5.193875;5.241000;5.442209;5.288500;5.128166 -near16,16384,131072,64,near,ref,0,32,0.393208,7,0.393208;0.422042;0.394291;0.392958;0.393208;0.392875;0.528167 -wide20,16384,131072,16,none,ref,0,1048570,53.174917,7,58.161917;55.200583;57.610292;53.174917;52.132458;52.841833;52.854667 -wide25,16384,131072,16,none,ref,1,33554196,51.289500,7,51.586333;51.127750;51.289500;51.351333;51.227667;51.099000;51.490417 diff --git a/dev/perf/spf_queue/review-2026-10/results/new-b2.csv b/dev/perf/spf_queue/review-2026-10/results/new-b2.csv deleted file mode 100644 index 39a7f2c..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/new-b2.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random16,16384,131072,16,none,ref,0,32,36.404042,7,36.404042;36.566625;36.893834;36.811875;35.520042;35.665875;35.423125 -clos800,800,320000,16,none,ref,0,2,36.691083,7,36.693000;36.691083;36.777375;36.492916;36.721750;36.260792;36.411417 -chain2048,2048,2047,256,none,ref,0,32,5.462458,7,5.488625;5.462458;5.325083;5.346833;5.282000;5.603708;5.615292 -near16,16384,131072,64,near,ref,0,32,0.398292,7,0.402209;0.398041;0.398292;0.403500;0.398208;0.398250;0.398875 -wide20,16384,131072,16,none,ref,0,1048570,52.534209,7,53.152833;52.864875;52.173209;52.534209;51.993000;51.975541;52.824167 -wide25,16384,131072,16,none,ref,1,33554196,51.805792,7,51.580833;51.931458;51.890167;51.724667;51.865584;51.728083;51.805792 diff --git a/dev/perf/spf_queue/review-2026-10/results/new-c1.csv b/dev/perf/spf_queue/review-2026-10/results/new-c1.csv deleted file mode 100644 index b1b8412..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/new-c1.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random16,16384,131072,16,none,ref,0,32,37.139500,7,36.504416;36.802209;37.139500;38.133916;37.465166;37.054833;38.317666 -clos800,800,320000,16,none,ref,0,2,35.800416,7,35.303583;36.024750;36.169166;36.144750;35.518792;35.800416;35.443250 -chain2048,2048,2047,256,none,ref,0,32,5.607416,7,5.607416;5.575208;5.649000;5.624584;5.693125;5.270625;5.536083 -near16,16384,131072,64,near,ref,0,32,0.399667,7,0.399667;0.400375;0.400917;0.394542;0.392208;0.392333;0.568209 -wide20,16384,131072,16,none,ref,0,1048570,54.419250,7,54.419250;54.934584;53.961750;58.652125;55.884458;53.924291;54.415167 -wide25,16384,131072,16,none,ref,1,33554196,53.599334,7,53.390917;53.599334;53.398084;53.811875;54.324917;53.464542;53.836208 diff --git a/dev/perf/spf_queue/review-2026-10/results/new-c2.csv b/dev/perf/spf_queue/review-2026-10/results/new-c2.csv deleted file mode 100644 index ae9d0a6..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/new-c2.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random16,16384,131072,16,none,ref,0,32,35.804375,7,37.196709;36.498875;35.856709;35.804375;35.703334;35.523000;35.752333 -clos800,800,320000,16,none,ref,0,2,35.380250,7,34.909542;34.823166;35.486375;35.805667;35.469875;35.380250;35.227375 -chain2048,2048,2047,256,none,ref,0,32,5.569458,7,5.755125;5.363458;5.786500;5.960208;5.536959;5.553417;5.569458 -near16,16384,131072,64,near,ref,0,32,0.410583,7,0.410583;0.406541;0.480917;0.408208;0.413625;0.412792;0.404583 -wide20,16384,131072,16,none,ref,0,1048570,54.147083,7,55.012958;54.037667;54.147083;54.609250;58.278625;53.827542;52.777916 -wide25,16384,131072,16,none,ref,1,33554196,55.281334,7,55.281334;55.300417;54.891208;55.485083;54.879417;56.778000;54.301083 diff --git a/dev/perf/spf_queue/review-2026-10/results/notouch.csv b/dev/perf/spf_queue/review-2026-10/results/notouch.csv deleted file mode 100644 index 02b2e38..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/notouch.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random16,16384,131072,16,none,ref,0,32,64.783708,7,65.583000;64.783708;65.158708;64.282958;63.893125;63.678958;64.801625 -clos800,800,320000,16,none,ref,0,2,35.476459,7,35.412791;35.386666;35.476459;35.508416;36.327584;39.811958;35.461834 -chain2048,2048,2047,256,none,ref,0,32,3.864416,7,3.864416;3.936958;3.750625;3.911541;3.743166;3.722166;3.938917 -near16,16384,131072,64,near,ref,0,32,1.233209,7,1.226250;1.227584;1.253875;1.213750;1.234292;1.233209;1.234292 -wide20,16384,131072,16,none,ref,0,1048570,51.039792,7,51.251833;50.497792;50.554000;50.847667;51.061708;53.260042;51.039792 -wide25,16384,131072,16,none,ref,1,33554196,52.060541,7,52.351833;52.380375;52.677792;51.515375;50.656833;51.244459;52.060541 diff --git a/dev/perf/spf_queue/review-2026-10/results/old-a1.csv b/dev/perf/spf_queue/review-2026-10/results/old-a1.csv deleted file mode 100644 index ccec261..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/old-a1.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random16,16384,131072,16,none,ref,0,32,62.661917,7,63.361167;62.796042;62.371417;61.183166;61.657917;62.661917;63.670791 -clos800,800,320000,16,none,ref,0,2,36.783917,7,37.430625;37.233792;36.468375;36.783917;36.168666;35.968083;37.098833 -chain2048,2048,2047,256,none,ref,0,32,3.057542,7,2.948125;3.260791;3.042750;3.032208;3.165833;3.057542;3.211375 -near16,16384,131072,64,near,ref,0,32,1.092541,7,1.155958;1.279500;1.142084;1.017416;1.051916;1.092042;1.092541 -wide20,16384,131072,16,none,ref,0,1048570,50.820084,7,50.733791;50.221000;50.086750;50.820084;52.921666;52.840042;54.729458 -wide25,16384,131072,16,none,ref,1,33554196,52.896333,7,51.156375;53.299750;53.507959;52.896333;52.904042;51.731917;52.568667 diff --git a/dev/perf/spf_queue/review-2026-10/results/old-a2.csv b/dev/perf/spf_queue/review-2026-10/results/old-a2.csv deleted file mode 100644 index 5f08a8f..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/old-a2.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random16,16384,131072,16,none,ref,0,32,64.328708,7,65.860417;67.227500;69.844208;63.343917;64.328708;63.977542;63.754750 -clos800,800,320000,16,none,ref,0,2,36.826667,7,37.149125;37.741042;36.605166;36.811375;36.489750;37.581458;36.826667 -chain2048,2048,2047,256,none,ref,0,32,2.990084,7,3.024791;2.990084;3.052875;2.964083;2.980958;3.019750;2.961667 -near16,16384,131072,64,near,ref,0,32,1.199667,7,1.191166;1.206875;1.208292;1.198708;1.190500;1.199667;1.214209 -wide20,16384,131072,16,none,ref,0,1048570,52.035958,7,52.165042;53.316625;52.035958;51.401875;51.295833;52.107750;51.960041 -wide25,16384,131072,16,none,ref,1,33554196,50.975833,7,51.363500;51.186625;50.880625;50.549250;50.549292;50.975833;52.110708 diff --git a/dev/perf/spf_queue/review-2026-10/results/old-b1.csv b/dev/perf/spf_queue/review-2026-10/results/old-b1.csv deleted file mode 100644 index 7872b37..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/old-b1.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random16,16384,131072,16,none,ref,0,32,61.637542,7,61.942917;61.538791;61.641750;61.961083;61.442291;61.637542;61.568000 -clos800,800,320000,16,none,ref,0,2,36.004833,7,36.153250;36.197042;36.012833;35.441125;35.771541;35.491000;36.004833 -chain2048,2048,2047,256,none,ref,0,32,2.928958,7,2.928958;2.962292;3.033417;2.922334;2.904750;2.933958;2.916417 -near16,16384,131072,64,near,ref,0,32,1.124750,7,1.148625;1.238209;1.100708;1.092209;1.103667;1.124750;1.146000 -wide20,16384,131072,16,none,ref,0,1048570,48.971583,7,48.840500;48.835708;49.106709;48.960542;49.092709;48.971583;49.089000 -wide25,16384,131072,16,none,ref,1,33554196,50.581042,7,49.251042;48.808875;49.316292;50.581042;52.614792;53.201250;54.016584 diff --git a/dev/perf/spf_queue/review-2026-10/results/old-b2.csv b/dev/perf/spf_queue/review-2026-10/results/old-b2.csv deleted file mode 100644 index fa019c1..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/old-b2.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random16,16384,131072,16,none,ref,0,32,63.736459,7,63.736459;63.137583;63.046959;62.846708;63.976583;65.935500;64.739708 -clos800,800,320000,16,none,ref,0,2,36.966917,7,37.437042;37.236958;36.966917;36.455042;36.567083;37.288084;36.713500 -chain2048,2048,2047,256,none,ref,0,32,3.113500,7,3.200416;3.036708;3.115750;3.069792;3.124292;2.971250;3.113500 -near16,16384,131072,64,near,ref,0,32,1.156625,7,1.156625;1.151708;1.166083;1.200334;1.282791;1.110500;1.146583 -wide20,16384,131072,16,none,ref,0,1048570,50.562250,7,50.748417;50.573167;50.539084;50.234584;50.562250;49.976792;50.625125 -wide25,16384,131072,16,none,ref,1,33554196,50.306625,7,50.242875;50.322416;51.103708;50.099792;50.298542;50.384375;50.306625 diff --git a/dev/perf/spf_queue/review-2026-10/results/old-c1.csv b/dev/perf/spf_queue/review-2026-10/results/old-c1.csv deleted file mode 100644 index 1d1ba55..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/old-c1.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random16,16384,131072,16,none,ref,0,32,65.450625,7,65.882125;64.276208;65.260500;67.423833;65.450625;64.917750;66.206416 -clos800,800,320000,16,none,ref,0,2,37.396042,7,37.188167;37.396042;37.494208;37.605083;37.457750;37.083417;37.271541 -chain2048,2048,2047,256,none,ref,0,32,3.038625,7,3.047042;3.021875;3.101083;3.038625;3.018084;3.103375;3.018792 -near16,16384,131072,64,near,ref,0,32,1.172167,7,1.313208;1.183792;1.158750;1.165458;1.171416;1.172167;1.174500 -wide20,16384,131072,16,none,ref,0,1048570,52.389542,7,52.971667;51.957750;52.280500;52.823083;51.671041;52.389542;54.248084 -wide25,16384,131072,16,none,ref,1,33554196,52.215416,7,52.625458;52.215416;52.307000;51.824541;51.515833;51.631542;52.662375 diff --git a/dev/perf/spf_queue/review-2026-10/results/old-c2.csv b/dev/perf/spf_queue/review-2026-10/results/old-c2.csv deleted file mode 100644 index e5b4788..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/old-c2.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random16,16384,131072,16,none,ref,0,32,67.528541,7,66.008416;68.058333;70.523875;65.632458;67.528541;66.204166;69.484250 -clos800,800,320000,16,none,ref,0,2,37.468209,7,37.360667;37.451250;37.468209;37.111125;43.702125;40.555084;37.667917 -chain2048,2048,2047,256,none,ref,0,32,3.115042,7,3.325166;3.384667;3.109333;3.115042;3.085416;3.101334;3.127666 -near16,16384,131072,64,near,ref,0,32,1.226250,7,1.229375;1.227542;1.220333;1.224041;1.234542;1.226250;1.216458 -wide20,16384,131072,16,none,ref,0,1048570,54.983958,7,54.983958;53.121458;52.081750;52.332667;61.260375;55.755916;62.780084 -wide25,16384,131072,16,none,ref,1,33554196,51.311292,7,50.930792;51.031875;51.381208;50.627125;51.311292;52.826625;53.041833 diff --git a/dev/perf/spf_queue/review-2026-10/results/reverse-heap.csv b/dev/perf/spf_queue/review-2026-10/results/reverse-heap.csv deleted file mode 100644 index d6b3e18..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/reverse-heap.csv +++ /dev/null @@ -1,5 +0,0 @@ -case,median_ms,hash,samples_ms -random,14.29,4323550201995714722,14.2146;14.2688;14.1871;14.3387;14.3591;14.29;14.2905; -clos,46.6671,16998307955055842784,46.2878;48.1355;46.3228;47.327;46.6671;46.6519;48.5254; -chain,0.519167,6923677047050424156,0.52075;0.515292;0.532917;0.5175;0.516583;0.519167;0.525042; -zerocyc,17.8648,3520531437519771524,18.1898;18.3212;17.6796;17.7299;17.8648;17.9677;17.7341; diff --git a/dev/perf/spf_queue/review-2026-10/results/reverse-new1.csv b/dev/perf/spf_queue/review-2026-10/results/reverse-new1.csv deleted file mode 100644 index 8e362a8..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/reverse-new1.csv +++ /dev/null @@ -1,5 +0,0 @@ -case,median_ms,hash,samples_ms -random,8.53917,4323550201995714722,8.53917;8.44875;8.4335;8.56229;8.54592;8.52125;8.59829; -clos,46.9226,16998307955055842784,46.9246;46.809;47.0009;46.268;46.7838;46.9226;47.6712; -chain,0.7405,6923677047050424156,0.813791;0.7405;0.70425;0.729833;0.716333;0.742916;0.742958; -zerocyc,11.101,3520531437519771524,11.2392;11.2819;10.9927;11.0575;10.9636;11.2812;11.101; diff --git a/dev/perf/spf_queue/review-2026-10/results/reverse-old1.csv b/dev/perf/spf_queue/review-2026-10/results/reverse-old1.csv deleted file mode 100644 index c151b3d..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/reverse-old1.csv +++ /dev/null @@ -1,5 +0,0 @@ -case,median_ms,hash,samples_ms -random,14.1883,4323550201995714722,13.9235;13.8795;15.3225;14.1821;14.587;14.1883;14.5707; -clos,48.2569,16998307955055842784,47.954;48.6985;48.2569;47.5812;47.9113;48.4309;49.74; -chain,0.401625,6923677047050424156,0.403;0.403834;0.400166;0.401167;0.400791;0.401625;0.405333; -zerocyc,17.3234,3520531437519771524,18.1433;17.3234;17.294;17.1341;16.9652;17.4247;17.6095; diff --git a/dev/perf/spf_queue/review-2026-10/results/reverse-old2.csv b/dev/perf/spf_queue/review-2026-10/results/reverse-old2.csv deleted file mode 100644 index b917885..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/reverse-old2.csv +++ /dev/null @@ -1,5 +0,0 @@ -case,median_ms,hash,samples_ms -random,13.8073,4323550201995714722,13.9139;13.7902;13.8063;13.707;13.8688;13.8073;13.871; -clos,46.6904,16998307955055842784,47.0873;46.4569;46.6064;47.3114;46.4868;46.6904;47.2773; -chain,0.409,6923677047050424156,0.404834;0.408334;0.41;0.41075;0.409;0.405917;0.410666; -zerocyc,17.2142,3520531437519771524,17.2065;17.2142;17.3031;17.17;17.3148;17.2411;17.2045; diff --git a/dev/perf/spf_queue/review-2026-10/results/reverse-settled.csv b/dev/perf/spf_queue/review-2026-10/results/reverse-settled.csv deleted file mode 100644 index 808695a..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/reverse-settled.csv +++ /dev/null @@ -1,5 +0,0 @@ -case,median_ms,hash,samples_ms -random,8.46929,4323550201995714722,8.32779;8.44088;8.74062;8.55787;8.46929;8.53213;8.43412; -clos,37.0421,16998307955055842784,37.0421;36.9092;37.2337;36.9606;36.7457;37.5333;37.2674; -chain,0.712,6923677047050424156,0.703833;0.703125;0.711333;0.715333;0.712;0.719459;0.73825; -zerocyc,10.7184,3520531437519771524,10.7537;10.7373;10.701;10.7016;10.8767;10.7184;10.7129; diff --git a/dev/perf/spf_queue/review-2026-10/results/safety.txt b/dev/perf/spf_queue/review-2026-10/results/safety.txt deleted file mode 100644 index 2cd383b..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/safety.txt +++ /dev/null @@ -1 +0,0 @@ -PASS: boundary widths, near-int64-bound, zero costs, edgeless, forward/reverse, reused and concurrent threads diff --git a/dev/perf/spf_queue/review-2026-10/results/screen-flow-fixed.csv b/dev/perf/spf_queue/review-2026-10/results/screen-flow-fixed.csv deleted file mode 100644 index 4a67f8f..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/screen-flow-fixed.csv +++ /dev/null @@ -1,5 +0,0 @@ -case,median_ms,hash,samples_ms -calc_max_flow,3.49771,17694640663380043544,3.49771;3.44867;3.59746;3.5455;3.50575;3.47817;3.46129; -place_max_flow,2.17654,7688852859487360956,2.19533;2.13963;2.12258;2.17654;2.27933;2.22033;2.16417; -calc_max_flow_masked,3.52533,9889262484581709037,3.65667;3.66458;3.51767;3.585;3.52533;3.47987;3.45167; -place_max_flow_masked,1.74058,17611571108701524338,1.83658;1.77683;1.732;1.76604;1.69054;1.74058;1.72042; diff --git a/dev/perf/spf_queue/review-2026-10/results/screen-flow-new1.csv b/dev/perf/spf_queue/review-2026-10/results/screen-flow-new1.csv deleted file mode 100644 index 81f770f..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/screen-flow-new1.csv +++ /dev/null @@ -1,5 +0,0 @@ -case,median_ms,hash,samples_ms -calc_max_flow,6.30813,17694640663380043544,9.53404;7.89408;6.85742;6.30813;5.85308;5.42833;5.04875; -place_max_flow,3.75046,7688852859487360956,3.74292;3.99771;3.72096;3.729;3.75046;3.83758;3.78788; -calc_max_flow_masked,4.66933,9889262484581709037,4.59392;4.66933;4.66683;4.63588;4.70075;4.6815;4.69033; -place_max_flow_masked,2.88571,17611571108701524338,2.89621;2.88571;2.85225;2.96892;2.94071;2.87242;2.83696; diff --git a/dev/perf/spf_queue/review-2026-10/results/screen-flow-new2.csv b/dev/perf/spf_queue/review-2026-10/results/screen-flow-new2.csv deleted file mode 100644 index c4e6c54..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/screen-flow-new2.csv +++ /dev/null @@ -1,5 +0,0 @@ -case,median_ms,hash,samples_ms -calc_max_flow,5.17758,17694640663380043544,5.17758;5.18304;5.10125;5.14938;5.25413;5.22612;5.08204; -place_max_flow,3.74721,7688852859487360956,3.75838;3.76867;3.74721;3.74708;3.81875;3.70783;3.73663; -calc_max_flow_masked,4.81,9889262484581709037,4.72837;5.11983;4.78008;4.89187;4.76479;4.89292;4.81; -place_max_flow_masked,3.03613,17611571108701524338,2.90725;3.02983;3.03613;3.24267;3.35433;3.13017;2.93463; diff --git a/dev/perf/spf_queue/review-2026-10/results/screen-flow-old1.csv b/dev/perf/spf_queue/review-2026-10/results/screen-flow-old1.csv deleted file mode 100644 index 8fc2c18..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/screen-flow-old1.csv +++ /dev/null @@ -1,5 +0,0 @@ -case,median_ms,hash,samples_ms -calc_max_flow,7.46421,17694640663380043544,10.7697;9.501;8.27529;7.46421;7.01146;6.62575;6.60421; -place_max_flow,5.55046,7688852859487360956,5.59325;5.56725;5.55046;5.51917;5.50913;5.47129;5.66104; -calc_max_flow_masked,5.81396,9889262484581709037,5.84025;5.81396;5.74475;5.87383;5.77688;5.95671;5.79425; -place_max_flow_masked,4.05721,17611571108701524338,4.07908;3.97954;4.06804;4.05721;4.03087;4.07292;4.049; diff --git a/dev/perf/spf_queue/review-2026-10/results/screen-flow-old2.csv b/dev/perf/spf_queue/review-2026-10/results/screen-flow-old2.csv deleted file mode 100644 index 858bc08..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/screen-flow-old2.csv +++ /dev/null @@ -1,5 +0,0 @@ -case,median_ms,hash,samples_ms -calc_max_flow,6.88671,17694640663380043544,6.84333;7.00104;6.84063;6.88671;6.92425;6.96867;6.83817; -place_max_flow,5.62904,7688852859487360956,5.63633;5.73642;5.73917;5.62904;5.55379;5.56463;5.51196; -calc_max_flow_masked,5.98637,9889262484581709037,6.01696;6.03279;5.98104;6.00467;5.90329;5.98637;5.91071; -place_max_flow_masked,4.12329,17611571108701524338,4.01337;4.18213;4.31404;4.14071;4.12329;4.08954;4.03029; diff --git a/dev/perf/spf_queue/review-2026-10/results/settled-b.csv b/dev/perf/spf_queue/review-2026-10/results/settled-b.csv deleted file mode 100644 index ef1d574..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/settled-b.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random16,16384,131072,16,none,ref,0,32,36.487333,7,36.090542;35.959583;36.007542;36.487333;37.377167;37.102084;37.204959 -clos800,800,320000,16,none,ref,0,2,29.811083,7,30.447334;29.933166;29.725458;29.967459;29.711791;29.811083;29.528292 -chain2048,2048,2047,256,none,ref,0,32,5.354125,7,5.354125;5.338375;5.379333;5.297166;5.476250;5.512584;5.302708 -near16,16384,131072,64,near,ref,0,32,0.395167,7,0.395041;0.398792;0.394875;0.395167;0.424417;0.403875;0.394458 -wide20,16384,131072,16,none,ref,0,1048570,50.286542,7,50.904542;50.359750;50.286542;50.461416;50.228625;49.448917;49.680083 -wide25,16384,131072,16,none,ref,1,33554196,50.049500,7,49.963709;50.266833;49.922667;50.049500;50.208000;50.201000;50.021375 diff --git a/dev/perf/spf_queue/review-2026-10/results/settled-heap.csv b/dev/perf/spf_queue/review-2026-10/results/settled-heap.csv deleted file mode 100644 index 1b13e44..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/settled-heap.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random16,16384,131072,16,none,ref,0,32,66.158167,7,65.501291;66.360792;66.991167;66.015583;65.004458;66.158167;66.720208 -clos800,800,320000,16,none,ref,0,2,31.214834,7,30.765625;30.921833;31.332292;31.329458;31.445500;30.828375;31.214834 -chain2048,2048,2047,256,none,ref,0,32,3.968333,7,3.945500;3.968333;3.876041;3.986583;4.052458;3.981292;3.927458 -near16,16384,131072,64,near,ref,0,32,0.414542,7,0.414542;0.408208;0.422417;0.401750;0.511000;0.439917;0.376750 -wide20,16384,131072,16,none,ref,0,1048570,52.167875,7,52.122625;51.577041;51.598167;52.167875;53.366667;54.189042;53.137125 -wide25,16384,131072,16,none,ref,1,33554196,52.316375,7,52.712750;52.543958;52.056167;51.818583;52.316375;52.301791;53.811375 diff --git a/dev/perf/spf_queue/review-2026-10/results/settled.csv b/dev/perf/spf_queue/review-2026-10/results/settled.csv deleted file mode 100644 index 6c37d15..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/settled.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random16,16384,131072,16,none,ref,0,32,36.302292,7,36.267083;36.252209;36.461292;36.329834;36.278333;36.428250;36.302292 -clos800,800,320000,16,none,ref,0,2,30.552375,7,30.552375;30.614834;30.552375;30.799083;30.420875;30.354875;30.576750 -chain2048,2048,2047,256,none,ref,0,32,5.646583,7,5.629958;5.646583;5.675459;5.604167;5.825583;5.854708;5.641583 -near16,16384,131072,64,near,ref,0,32,0.399458,7,0.399375;0.400292;0.401459;0.397750;0.398125;0.399625;0.399458 -wide20,16384,131072,16,none,ref,0,1048570,50.866667,7,50.945000;51.409333;50.611417;50.734542;51.366167;50.730708;50.866667 -wide25,16384,131072,16,none,ref,1,33554196,52.316458,7,51.991083;52.700875;52.316458;52.266458;52.743542;52.306916;52.581667 diff --git a/dev/perf/spf_queue/review-2026-10/results/singleton.csv b/dev/perf/spf_queue/review-2026-10/results/singleton.csv deleted file mode 100644 index f904009..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/singleton.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,dst,variant,fallback,W,median_ms,samples,wall_samples_ms -random16,16384,131072,16,none,ref,0,32,37.232584,7,43.237917;46.446917;37.663959;36.975792;37.232584;36.434750;37.170750 -clos800,800,320000,16,none,ref,0,2,35.920375,7,35.833750;36.086250;35.904916;36.143000;36.049708;35.366042;35.920375 -chain2048,2048,2047,256,none,ref,0,32,5.007084,7,5.030291;4.919834;5.007084;4.996291;5.026125;4.996833;5.083959 -near16,16384,131072,64,near,ref,0,32,0.402250,7,0.402958;0.397958;0.470084;0.408875;0.402250;0.398000;0.397250 -wide20,16384,131072,16,none,ref,0,1048570,54.110209,7,53.133625;53.488875;55.287875;54.976625;54.198959;53.358917;54.110209 -wide25,16384,131072,16,none,ref,1,33554196,52.396375,7,52.396375;51.643959;52.706292;52.540000;51.862250;51.330000;53.099542 diff --git a/dev/perf/spf_queue/review-2026-10/results/tracked-verification.txt b/dev/perf/spf_queue/review-2026-10/results/tracked-verification.txt deleted file mode 100644 index 424b153..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/tracked-verification.txt +++ /dev/null @@ -1 +0,0 @@ -97 tracked files compared; changed since review start: [] diff --git a/dev/perf/spf_queue/review-2026-10/results/validate-flow-variant.txt b/dev/perf/spf_queue/review-2026-10/results/validate-flow-variant.txt deleted file mode 100644 index 114a384..0000000 --- a/dev/perf/spf_queue/review-2026-10/results/validate-flow-variant.txt +++ /dev/null @@ -1,8 +0,0 @@ -excluded=-1 flow=cut=6 -excluded=0 flow=cut=4 -excluded=1 flow=cut=2 -excluded=2 flow=cut=6 -excluded=3 flow=cut=4 -excluded=4 flow=cut=3 -factor=1 placed=2 -factor=2 placed=6 diff --git a/dev/perf/spf_queue/review-2026-10/robustness.cpp b/dev/perf/spf_queue/review-2026-10/robustness.cpp deleted file mode 100644 index f1cda4a..0000000 --- a/dev/perf/spf_queue/review-2026-10/robustness.cpp +++ /dev/null @@ -1,48 +0,0 @@ -#include -#include -#include -static bool fail_four = false; -void* operator new(std::size_t n) { - if (fail_four && n == 4) { fail_four=false; throw std::bad_alloc(); } - if (void* p=std::malloc(n?n:1)) return p; - throw std::bad_alloc(); -} -void operator delete(void* p) noexcept { std::free(p); } -#ifndef REVIEW_SOURCE -#define REVIEW_SOURCE "baseline.cpp" -#endif -#include REVIEW_SOURCE -using namespace netgraph::core; -int main(int argc,char**argv) { - std::string mode=argc>1?argv[1]:"fault"; - EdgeSelection sel; - if(mode=="fault") { - auto g=StrictMultiDiGraph::from_arrays(8,std::vector{1},std::vector{0},std::vector{1},std::vector{1}); - fail_four=true; - try { (void)shortest_paths(g,0,std::nullopt,true,sel); } - catch(const std::bad_alloc&) { std::cout<<"caught forward bad_alloc\n"; } - auto r=shortest_paths(g,1,std::nullopt,true,sel); - std::cout<<"forward distance[0]="<{0},std::vector{1},std::vector{1},std::vector{1}); - fail_four=true; - try { (void)shortest_paths_to(rev,0,true,sel); } - catch(const std::bad_alloc&) { std::cout<<"caught reverse bad_alloc\n"; } - auto t=shortest_paths_to(rev,1,true,sel); - std::cout<<"reverse distance[0]="< s,d;std::vector a;std::vector w; - for(int v=1;v<=1024;++v){s.push_back(0);d.push_back(v);a.push_back(1);w.push_back(c);} - s.push_back(1025);d.push_back(1026);a.push_back(1);w.push_back(63); - s.push_back(1025);d.push_back(1026);a.push_back(1);w.push_back(1); - auto g=StrictMultiDiGraph::from_arrays(1027,s,d,a,w); - auto r=shortest_paths(g,0,std::nullopt,true,sel); - if(r.first[1]!=c) return 2; - if(c==1 || c==63)std::cout<<"after "<{0},std::vector{1},std::vector{1},std::vector{1}); - (void)shortest_paths(g,0,std::nullopt,true,sel); - std::cout<<"after N=2 graph: bucket item capacity bytes="< -#include -#include -using namespace netgraph::core; -static bool eq(const auto&a,const auto&b) {return a.first==b.first&&a.second.parent_offsets==b.second.parent_offsets&&a.second.parents==b.second.parents&&a.second.via_edges==b.second.via_edges;} -static void checks() { - for(Cost k: {Cost(0),Cost(1),Cost(65534),Cost(65535),Cost(65536),(Cost(1)<<60)-1}) { - auto g=StrictMultiDiGraph::from_arrays(8,std::vector{0,0,1,2,3,4,6},std::vector{1,2,3,3,4,5,7},std::vector{1,2,4,8,16,32,64},std::vector{k,k,0,0,k,0,1}); - auto nm=std::make_unique(8);auto em=std::make_unique(7); - std::fill_n(nm.get(),8,true);std::fill_n(em.get(),7,true); - std::vector res(g.capacity_view().begin(),g.capacity_view().end()); - for(int mp=0;mp<2;++mp)for(int me=0;me<2;++me)for(int tb=0;tb<2;++tb)for(int rc=0;rc<2;++rc)for(int mask=0;mask<2;++mask) { - EdgeSelection sel;sel.multi_edge=me;sel.require_capacity=rc;sel.tie_break=tb?EdgeTieBreak::PreferHigherResidual:EdgeTieBreak::Deterministic; - em[0]=!mask;nm[2]=!mask; - for(int dest=-1;dest<8;++dest) { - std::optional dst=dest<0?std::nullopt:std::optional(dest); - auto a=shortest_paths(g,0,dst,mp,sel,res,{nm.get(),8},{em.get(),7},SpfQueue::Heap); - auto b=shortest_paths(g,0,dst,mp,sel,res,{nm.get(),8},{em.get(),7},SpfQueue::Bucket); - spfx::HeapQueue h;spfx::Workspace ws;auto c=spfx::spf_variant(g,0,dst,mp,sel,res,{nm.get(),8},{em.get(),7},h,ws,k,1); - if(!eq(a,b)||!eq(a,c))throw std::runtime_error("forward mismatch"); - if(dest>=0){auto x=shortest_paths_to(g,dest,mp,sel,res,{nm.get(),8},{em.get(),7},{},SpfQueue::Heap);auto y=shortest_paths_to(g,dest,mp,sel,res,{nm.get(),8},{em.get(),7},{},SpfQueue::Bucket);if(!eq(x,y))throw std::runtime_error("reverse mismatch");} - } - } - } - for(int n:{0,1,8}){ - auto g=StrictMultiDiGraph::from_arrays(n,{},{},{},{}); - auto a=shortest_paths(g,0,std::nullopt,true,EdgeSelection{}); - auto b=shortest_paths_to(g,0,true,EdgeSelection{}); - if(a.first.size()!=std::size_t(n)||b.first.size()!=std::size_t(n)||a.second.parent_offsets.size()!=std::size_t(n+1))throw std::runtime_error("empty mismatch"); - } -} -int main(){checks();std::thread t(checks);checks();t.join();std::cout<<"PASS: boundary widths, near-int64-bound, zero costs, edgeless, forward/reverse, reused and concurrent threads\n";} diff --git a/dev/perf/spf_queue/review-2026-10/settled.patch b/dev/perf/spf_queue/review-2026-10/settled.patch deleted file mode 100644 index 31cfe2b..0000000 --- a/dev/perf/spf_queue/review-2026-10/settled.patch +++ /dev/null @@ -1,20 +0,0 @@ ---- a/src/shortest_paths.cpp -+++ b/src/shortest_paths.cpp -@@ -580,7 +580,7 @@ - // Process edges grouped by destination node (parallel edges are consecutive in CSR). - while (i < end) { - NodeId v = col[i]; -- if (use_node_mask && !node_mask[static_cast(v)]) { -+ if (settled[static_cast(v)] || (use_node_mask && !node_mask[static_cast(v)])) { - std::size_t j_skip = i; while (j_skip < end && col[j_skip] == v) ++j_skip; i = j_skip; continue; - } - -@@ -829,7 +829,7 @@ - std::size_t i = start; - while (i < end) { - NodeId u = icol[i]; -- if (use_node_mask && !node_mask[static_cast(u)]) { -+ if (settled[static_cast(u)] || (use_node_mask && !node_mask[static_cast(u)])) { - std::size_t j_skip = i; while (j_skip < end && icol[j_skip] == u) ++j_skip; i = j_skip; continue; - } - Cost min_edge_cost = kInf; diff --git a/dev/perf/spf_queue/review-2026-10/singleton.patch b/dev/perf/spf_queue/review-2026-10/singleton.patch deleted file mode 100644 index c01ae87..0000000 --- a/dev/perf/spf_queue/review-2026-10/singleton.patch +++ /dev/null @@ -1,29 +0,0 @@ ---- a/src/shortest_paths.cpp -+++ b/src/shortest_paths.cpp -@@ -304,6 +304,9 @@ - std::vector occ; // one bit per non-empty bucket - std::size_t W = 0, cur_b = 0, pending = 0; - Cost cur = 0, stride = 1; -+ Cost sole_cost = 0; -+ std::size_t sole_bucket = 0; -+ bool sole = false; - - void begin(std::size_t width, Cost stride_) { - stride = stride_; -@@ -333,6 +336,8 @@ - void push(Cost c, Cap nr, NodeId v) { - const std::size_t b = bucket_of(c); - auto& vec = buckets[b]; -+ sole = pending == 0; -+ if (sole) { sole_cost = c; sole_bucket = b; } - if (vec.empty()) occ[b >> 6] |= (std::uint64_t{1} << (b & 63)); - vec.push_back({nr, v}); - if (b == cur_b) std::push_heap(vec.begin(), vec.end(), Greater{}); -@@ -341,6 +346,7 @@ - // Advance to the next non-empty bucket when the active one is exhausted. - // Precondition: pending > 0. - void settle_active() { -+ if (sole) { cur = sole_cost; cur_b = sole_bucket; return; } - if (!buckets[cur_b].empty()) return; - std::size_t i = cur_b + 1; if (i == W) i = 0; - std::size_t w = i >> 6; diff --git a/dev/perf/spf_queue/review-2026-10/validate-flow.cpp b/dev/perf/spf_queue/review-2026-10/validate-flow.cpp deleted file mode 100644 index b3412a6..0000000 --- a/dev/perf/spf_queue/review-2026-10/validate-flow.cpp +++ /dev/null @@ -1,28 +0,0 @@ -#include "netgraph/core/algorithms.hpp" -#include "netgraph/core/backend.hpp" -#include "netgraph/core/flow_policy.hpp" -#include "netgraph/core/max_flow.hpp" -#include -#include -using namespace netgraph::core; -int main(){ - auto g=StrictMultiDiGraph::from_arrays(4,std::vector{0,0,1,1,2},std::vector{1,2,2,3,3},std::vector{3,4,1,2,4},std::vector{1,4,2,2,1}); - bool em[5];auto s=g.edge_src_view();auto d=g.edge_dst_view();auto cap=g.capacity_view(); - for(int excluded=-1;excluded<5;++excluded){ - for(int e=0;e<5;++e)em[e]=e!=excluded; - auto [total,sm]=calc_max_flow(g,0,3,FlowPlacement::Proportional,false,true,true,true,true,{},em); - double balance[4]={};for(int e=0;e<5;++e){double f=sm.edge_flows[e];if(f<-1e-7||f>cap[e]+1e-7||(!em[e]&&std::abs(f)>1e-7))throw std::runtime_error("capacity/mask");balance[s[e]]+=f;balance[d[e]]-=f;} - for(int v=0;v<4;++v)if(std::abs(balance[v]-(v==0?total:v==3?-total:0))>1e-7)throw std::runtime_error("conservation"); - double cut=1e30;for(int subset=1;subset<8;subset+=2){double k=0;for(int e=0;e<5;++e)if(em[e]&&(subset&(1<1e-7)throw std::runtime_error("optimality"); - double reported=0;for(auto e:sm.min_cut.edges)reported+=cap[e];if(std::abs(reported-total)>1e-7)throw std::runtime_error("reported cut"); - std::cout<<"excluded="<(make_cpu_backend());auto gh=algs->build_graph(g);ExecutionContext ctx(algs,gh); - for(double factor:{1.,2.}){ - FlowPolicyConfig cfg;cfg.max_path_cost_factor=factor;cfg.require_capacity=true;cfg.multipath=true; - FlowPolicy p(ctx,cfg);FlowGraph fg(g);auto res=p.place_demand(fg,0,3,1,100); - double expected=factor==1.?2.:6.;if(std::abs(res.first-expected)>1e-7)throw std::runtime_error("factor cap"); - std::cout<<"factor="< "$r/results/$spec-variant.txt" -done -NGRAPH_CORE_BATCH_THREADS=1 NGRAPH_CORE_SENSITIVITY_THREADS=1 build/perf/bitgate-old > "$r/results/bitgate-old.txt" -cmp "$r/results/bitgate-old.txt" "$r/results/bitgate-variant.txt" -shasum -a 256 "$r/results/bitgate-old.txt" "$r/results/bitgate-variant.txt" > "$r/results/bitgate-sha256.txt" -echo 'targeted flow certificates, cost factors, and bitgate passed under ASan/UBSan' diff --git a/dev/perf/spf_queue/run_aba.sh b/dev/perf/spf_queue/run_aba.sh deleted file mode 100755 index 5a4aeff..0000000 --- a/dev/perf/spf_queue/run_aba.sh +++ /dev/null @@ -1,24 +0,0 @@ -#!/usr/bin/env bash -# Fresh process per variant; production reference first and last (A1 ... A2). -set -euo pipefail -cd "$(dirname "$0")/../../.." -out=${1:-dev/perf/spf_queue/results/first} -samples=${2:-9} -mkdir -p "$out" -bin=build/perf/cpu-queue -{ - echo "date: $(date -u +%Y-%m-%dT%H:%M:%SZ)"; echo "commit: $(git rev-parse HEAD)"; sysctl -n machdep.cpu.brand_string - shasum -a 256 dev/perf/spf_queue/*.hpp dev/perf/spf_queue/*.cpp src/shortest_paths.cpp src/strict_multidigraph.cpp - "${CXX:-clang++}" --version | head -1 -} > "$out/environment.txt" -for phase in ref:a1 heap-fresh:b heap-full:b heap-sparse:b bucket-fresh:b bucket-full:b bucket-sparse:b bsort-fresh:b bsort-sparse:b ref:a2; do - v=${phase%%:*}; tag=${phase##*:} - uptime >> "$out/load.txt" - "$bin" time "$v" "$samples" > "$out/time-$v-$tag.csv" -done -for v in ref heap-sparse bucket-sparse bsort-sparse; do - uptime >> "$out/load.txt" - "$bin" sweep "$v" "$samples" 2097152 > "$out/sweep-$v.csv" -done -uptime >> "$out/load.txt" -echo done diff --git a/dev/perf/spf_queue/run_core_aba.sh b/dev/perf/spf_queue/run_core_aba.sh deleted file mode 100755 index ff1c557..0000000 --- a/dev/perf/spf_queue/run_core_aba.sh +++ /dev/null @@ -1,26 +0,0 @@ -#!/usr/bin/env bash -# Core-level old/new/old A/B/A on the harness workloads: the `ref` variant is the -# production shortest_paths of whichever sources the binary was built from. -# cpu-queue-old: previous sources (git archive of the base commit) -# cpu-queue: this worktree; B-heap forces the heap route in the new binary -set -euo pipefail -cd "$(dirname "$0")/../../.." -out=${1:-dev/perf/spf_queue/results/core} -samples=${2:-9} -mkdir -p "$out" -{ - echo "date: $(date -u +%Y-%m-%dT%H:%M:%SZ)"; echo "commit: $(git rev-parse HEAD)" - shasum -a 256 build/perf/cpu-queue-old build/perf/cpu-queue src/shortest_paths.cpp -} > "$out/environment.txt" -for phase in a1-old b-new b-new-heap a2-old; do - uptime >> "$out/load.txt" - case $phase in - *old) bin=build/perf/cpu-queue-old; envs=() ;; - b-new) bin=build/perf/cpu-queue; envs=() ;; - b-new-heap) bin=build/perf/cpu-queue; envs=(NGRAPH_CORE_SPF_QUEUE=heap) ;; - esac - env ${envs[@]+"${envs[@]}"} "$bin" time ref "$samples" > "$out/time-$phase.csv" - env ${envs[@]+"${envs[@]}"} "$bin" sweep ref "$samples" 2097152 > "$out/sweep-$phase.csv" -done -uptime >> "$out/load.txt" -echo done diff --git a/dev/perf/spf_queue/run_netgraph_aba.sh b/dev/perf/spf_queue/run_netgraph_aba.sh deleted file mode 100755 index 707a4ca..0000000 --- a/dev/perf/spf_queue/run_netgraph_aba.sh +++ /dev/null @@ -1,35 +0,0 @@ -#!/usr/bin/env bash -# Old/new/old A/B/A on realistic NetGraph workloads, one fresh process per phase. -# A1: main worktree build (fbab119) B: this worktree B-heap: this worktree with -# NGRAPH_CORE_SPF_QUEUE=heap (in-binary control) A2: main worktree build again. -set -euo pipefail -cd "$(dirname "$0")/../../.." -out=${1:-dev/perf/spf_queue/results/netgraph} -samples=${2:-5} -old=${OLD_CORE:-/Users/networmix/ws/NetGraph-Core-main} -new=$PWD -py=/Users/networmix/ws/NetGraph/venv/bin/python -bench=dev/perf/spf_queue/bench_netgraph.py -mkdir -p "$out" -{ - echo "date: $(date -u +%Y-%m-%dT%H:%M:%SZ)" - echo "new: $(git rev-parse HEAD) (dirty: $(git status --short | wc -l | tr -d ' ') paths)" - echo "old: $(git -C "$old" rev-parse HEAD)" - echo "netgraph: $(git -C /Users/networmix/ws/NetGraph rev-parse HEAD)" - shasum -a 256 "$bench" "$new"/venv/lib/python3.14/site-packages/_netgraph_core*.so "$old"/venv/lib/python3.14/site-packages/_netgraph_core*.so - sysctl -n machdep.cpu.brand_string -} > "$out/environment.txt" -run() { # label core-root extra-env - local label=$1 root=$2; shift 2 - uptime >> "$out/load.txt" - # PYTHONHASHSEED pins NetGraph's set-iteration order so Monte Carlo result - # digests are comparable across processes (verified: with a random seed the - # digests differ between two runs of the same build). - env "$@" PYTHONHASHSEED=0 PYTHONPATH="$root/venv/lib/python3.14/site-packages:$root/python" "$py" "$bench" "$label" "$samples" > "$out/$label.csv" -} -run a1-old "$old" -run b-new "$new" -run b-new-heap "$new" NGRAPH_CORE_SPF_QUEUE=heap -run a2-old "$old" -uptime >> "$out/load.txt" -echo done diff --git a/dev/perf/spf_queue/spf_variants.hpp b/dev/perf/spf_queue/spf_variants.hpp deleted file mode 100644 index 653cd58..0000000 --- a/dev/perf/spf_queue/spf_variants.hpp +++ /dev/null @@ -1,492 +0,0 @@ -// Experimental copies of the production forward SPF loop (src/shortest_paths.cpp, -// shortest_paths_core) with the priority queue and the scratch workspace made -// pluggable. The relaxation, selection, tie-break and predecessor rules are kept -// verbatim so that any observable difference is attributable to the queue or -// the workspace policy. Research code only; not part of the library. -#pragma once - -#include "netgraph/core/constants.hpp" -#include "netgraph/core/shortest_paths.hpp" - -#include -#include -#include -#include -#include -#include -#include -#include -#include - -namespace spfx { - -using namespace netgraph::core; -constexpr Cost INF = std::numeric_limits::max(); -using QItem = std::tuple; - -// Reference queue: a binary heap over (cost, -bottleneck, node), the exact key -// std::priority_queue uses in production. Keys are unique per push (a node is -// re-pushed only with a strictly smaller cost or a strictly larger bottleneck), so -// any correct binary heap pops in the same order as std::priority_queue. -struct HeapQueue { - static constexpr const char* name = "heap"; - std::vector h; - static bool gt(const QItem& a, const QItem& b) { return a > b; } - void begin(Cost, Cost) { h.clear(); } - void end() { h.clear(); } - bool empty() const { return h.empty(); } - Cost top_cost() { return std::get<0>(h.front()); } - QItem pop() { - std::pop_heap(h.begin(), h.end(), gt); - QItem t = h.back(); h.pop_back(); return t; - } - void push(Cost c, Cap nr, NodeId v) { - h.emplace_back(c, nr, v); - std::push_heap(h.begin(), h.end(), gt); - } -}; - -// Monotone bucket queue with ordered buckets. Dijkstra pops keys in -// non-decreasing cost order and every push is >= the cost being popped, so with -// W = max_cost/stride + 1 cyclic buckets each bucket holds exactly one cost value -// at any time. The active bucket is a binary heap on (-bottleneck, node); pushes -// into it (zero-cost edges) keep the heap property. The pop sequence is therefore -// identical to the global heap's (cost, -bottleneck, node) order, including -// stale-entry handling, zero-cost edges, single-path re-pushes and early exit. -template -struct BucketHeapQueueT { - static constexpr const char* name = kPow2 ? "bucket2" : "bucket"; - struct Item { Cap neg_res; NodeId node; }; - static bool gt(const Item& a, const Item& b) { -#ifdef SPFX_BAD_ORDER - return a.node > b.node; // teeth check: ignore bottleneck ordering -#else - return a.neg_res != b.neg_res ? a.neg_res > b.neg_res : a.node > b.node; -#endif - } - std::vector> buckets; - std::vector occ; - std::size_t W = 0, cur_b = 0, pending = 0; - Cost cur = 0, stride = 1; - - void begin(Cost max_cost, Cost stride_) { - stride = stride_ > 0 ? stride_ : 1; - W = static_cast(max_cost / stride) + 1; - if constexpr (kPow2) W = std::bit_ceil(W); // modulo becomes a mask - if (buckets.size() < W) buckets.resize(W); - occ.assign((W + 63) / 64, 0); - cur = 0; cur_b = 0; pending = 0; - } - void end() { - // Early exit can leave items behind; clear only occupied buckets. - for (std::size_t w = 0; w < occ.size(); ++w) { - std::uint64_t word = occ[w]; - while (word) { - const std::size_t b = (w << 6) + static_cast(std::countr_zero(word)); - buckets[b].clear(); - word &= word - 1; - } - occ[w] = 0; - } - pending = 0; - } - bool empty() const { return pending == 0; } - std::size_t bucket_of(Cost c) const { - const Cost q = stride == 1 ? c : c / stride; - if constexpr (kPow2) return static_cast(q) & (W - 1); - else return static_cast(q % static_cast(W)); - } - void push(Cost c, Cap nr, NodeId v) { - const std::size_t b = bucket_of(c); - auto& vec = buckets[b]; - if (vec.empty()) occ[b >> 6] |= (std::uint64_t{1} << (b & 63)); - vec.push_back({nr, v}); - if (b == cur_b) std::push_heap(vec.begin(), vec.end(), gt); - ++pending; - } - void settle_active() { - if (!buckets[cur_b].empty()) return; - std::size_t i = cur_b + 1; if (i == W) i = 0; - std::size_t w = i >> 6; - std::uint64_t word = occ[w] & (~std::uint64_t{0} << (i & 63)); - const std::size_t nwords = occ.size(); - while (!word) { w = (w + 1 == nwords) ? 0 : w + 1; word = occ[w]; } - const std::size_t f = (w << 6) + static_cast(std::countr_zero(word)); - const std::size_t steps = f > cur_b ? f - cur_b : f + W - cur_b; - cur += static_cast(steps) * stride; cur_b = f; - std::make_heap(buckets[f].begin(), buckets[f].end(), gt); - } - Cost top_cost() { settle_active(); return cur; } - QItem pop() { - settle_active(); - auto& vec = buckets[cur_b]; - std::pop_heap(vec.begin(), vec.end(), gt); - const Item it = vec.back(); vec.pop_back(); --pending; - if (vec.empty()) occ[cur_b >> 6] &= ~(std::uint64_t{1} << (cur_b & 63)); - return {cur, it.neg_res, it.node}; - } -}; -using BucketHeapQueue = BucketHeapQueueT; -using BucketPow2Queue = BucketHeapQueueT; - -// Variant of the bucket queue that sorts a bucket once when it becomes active and -// consumes it linearly; same-cost pushes that arrive while the bucket is active -// (zero-cost edges) go to a small side heap, and pop takes the smaller head. -struct BucketSortQueue { - static constexpr const char* name = "bsort"; - using Item = BucketHeapQueue::Item; - static bool lt(const Item& a, const Item& b) { - return a.neg_res != b.neg_res ? a.neg_res < b.neg_res : a.node < b.node; - } - static bool gt(const Item& a, const Item& b) { return lt(b, a); } - std::vector> buckets; - std::vector occ; - std::vector side; // heap of same-cost pushes into the active bucket - std::size_t W = 0, cur_b = 0, pending = 0, head = 0; - Cost cur = 0, stride = 1; - - void begin(Cost max_cost, Cost stride_) { - stride = stride_ > 0 ? stride_ : 1; - W = static_cast(max_cost / stride) + 1; - if (buckets.size() < W) buckets.resize(W); - occ.assign((W + 63) / 64, 0); - side.clear(); cur = 0; cur_b = 0; pending = 0; head = 0; - } - void end() { - for (std::size_t w = 0; w < occ.size(); ++w) { - std::uint64_t word = occ[w]; - while (word) { - const std::size_t b = (w << 6) + static_cast(std::countr_zero(word)); - buckets[b].clear(); - word &= word - 1; - } - occ[w] = 0; - } - buckets[cur_b].clear(); side.clear(); pending = 0; head = 0; - } - bool empty() const { return pending == 0; } - std::size_t bucket_of(Cost c) const { - return static_cast((c / stride) % static_cast(W)); - } - bool active_empty() const { return head >= buckets[cur_b].size() && side.empty(); } - void push(Cost c, Cap nr, NodeId v) { - const std::size_t b = bucket_of(c); - if (b == cur_b) { - side.push_back({nr, v}); - std::push_heap(side.begin(), side.end(), gt); - } else { - auto& vec = buckets[b]; - if (vec.empty()) occ[b >> 6] |= (std::uint64_t{1} << (b & 63)); - vec.push_back({nr, v}); - } - ++pending; - } - void settle_active() { - if (!active_empty()) return; - buckets[cur_b].clear(); head = 0; - std::size_t i = cur_b + 1; if (i == W) i = 0; - std::size_t w = i >> 6; - std::uint64_t word = occ[w] & (~std::uint64_t{0} << (i & 63)); - const std::size_t nwords = occ.size(); - while (!word) { w = (w + 1 == nwords) ? 0 : w + 1; word = occ[w]; } - const std::size_t f = (w << 6) + static_cast(std::countr_zero(word)); - const std::size_t steps = f > cur_b ? f - cur_b : f + W - cur_b; - cur += static_cast(steps) * stride; cur_b = f; - occ[f >> 6] &= ~(std::uint64_t{1} << (f & 63)); // active bucket is tracked by head/side - auto& vec = buckets[f]; - std::sort(vec.begin(), vec.end(), lt); - } - Cost top_cost() { settle_active(); return cur; } - QItem pop() { - settle_active(); - auto& vec = buckets[cur_b]; - Item it; - if (head < vec.size() && (side.empty() || lt(vec[head], side.front()))) { - it = vec[head++]; - } else { - std::pop_heap(side.begin(), side.end(), gt); - it = side.back(); side.pop_back(); - } - --pending; - return {cur, it.neg_res, it.node}; - } -}; - -enum class WsMode { Fresh, ReuseFull, ReuseSparse, ReuseHybrid }; -// ReuseHybrid tracks touched nodes like ReuseSparse but chooses the reset, output -// and DAG-conversion strategy at the end of the query from the touched count. - -// Scratch arrays of the production loop. Fresh: allocate per query as production -// does (including reserve(E) on the entry arrays). ReuseFull: keep the vectors and -// reset all N entries. ReuseSparse: keep the vectors and reset only touched nodes. -struct Workspace { - std::vector dist; - std::vector minres; - std::vector pred_head, pred_tail; - std::vector settled; - std::vector ent_parent; - std::vector ent_edge; - std::vector ent_next; - std::vector touched; - WsMode mode = WsMode::Fresh; - - bool tracking() const { return mode == WsMode::ReuseSparse || mode == WsMode::ReuseHybrid; } - // Decisions taken after the search from the touched fraction (hybrid only). - bool sparse_reset() const { - return mode == WsMode::ReuseSparse || (mode == WsMode::ReuseHybrid && touched.size() * 4 < dist.size()); - } - void begin(std::int32_t n, std::int32_t e) { - const auto N = static_cast(n); - if (tracking()) { - if (dist.size() != N) { - dist.assign(N, INF); minres.assign(N, 0); pred_head.assign(N, -1); - pred_tail.assign(N, -1); settled.assign(N, 0); - } - touched.clear(); - } else { - dist.assign(N, INF); minres.assign(N, 0); pred_head.assign(N, -1); - pred_tail.assign(N, -1); settled.assign(N, 0); - } - ent_parent.clear(); ent_edge.clear(); ent_next.clear(); - if (mode == WsMode::Fresh) { - const auto E = static_cast(e); - ent_parent.reserve(E); ent_edge.reserve(E); ent_next.reserve(E); - } - } - inline void touch(NodeId v) { if (tracking()) touched.push_back(v); } - void end() { - if (!tracking()) return; - if (sparse_reset()) { - for (auto v : touched) { - const auto i = static_cast(v); - dist[i] = INF; minres[i] = 0; pred_head[i] = -1; pred_tail[i] = -1; settled[i] = 0; - } - } else { - std::fill(dist.begin(), dist.end(), INF); std::fill(minres.begin(), minres.end(), 0); - std::fill(pred_head.begin(), pred_head.end(), -1); std::fill(pred_tail.begin(), pred_tail.end(), -1); - std::fill(settled.begin(), settled.end(), 0); - } - touched.clear(); - } -}; - -// Copy of shortest_paths_core with the queue and workspace injected. -template -std::pair, PredDAG> -spf_variant(const StrictMultiDiGraph& g, NodeId src, - std::optional dst, - bool multipath_arg, - const EdgeSelection& selection, - std::span residual, - std::span node_mask, - std::span edge_mask, - Queue& pq, Workspace& ws, Cost max_cost, Cost stride) { - const auto N = g.num_nodes(); - const auto row = g.row_offsets_view(); - const auto col = g.col_indices_view(); - const auto aei = g.adj_edge_index_view(); - const auto cost = g.cost_view(); - const auto cap = g.capacity_view(); - - ws.begin(N, g.num_edges()); - auto& dist = ws.dist; - auto& min_residual_to_node = ws.minres; - auto& pred_head = ws.pred_head; - auto& pred_tail = ws.pred_tail; - auto& ent_parent = ws.ent_parent; - auto& ent_edge = ws.ent_edge; - auto& ent_next = ws.ent_next; - auto& settled = ws.settled; - - auto finish_dist = [&]() { - std::vector out; - if (ws.mode == WsMode::Fresh) { out = std::move(dist); dist.clear(); } - else if (ws.mode == WsMode::ReuseFull || !ws.sparse_reset()) { out = dist; } - else { - out.assign(static_cast(N), INF); - for (auto v : ws.touched) out[static_cast(v)] = dist[static_cast(v)]; - } - return out; - }; - - const bool use_node_mask = (node_mask.size() == static_cast(g.num_nodes())); - const bool use_edge_mask = (edge_mask.size() == static_cast(g.num_edges())); - const bool src_allowed = (src >= 0 && src < N && (!use_node_mask || node_mask[static_cast(src)])); - if (src_allowed) { - dist[static_cast(src)] = static_cast(0); - min_residual_to_node[static_cast(src)] = std::numeric_limits::max(); - ws.touch(src); - } - - auto pred_clear = [&](std::size_t v){ pred_head[v] = -1; pred_tail[v] = -1; }; - auto pred_append = [&](std::size_t v, NodeId p, EdgeId e){ - const auto idx = static_cast(ent_parent.size()); - ent_parent.push_back(p); ent_edge.push_back(e); ent_next.push_back(-1); - if (pred_head[v] < 0) { pred_head[v] = idx; } - else { ent_next[static_cast(pred_tail[v])] = idx; } - pred_tail[v] = idx; - }; - if (!src_allowed) { - PredDAG dag; - dag.parent_offsets.assign(static_cast(N + 1), 0); - auto out = finish_dist(); - ws.end(); - return {std::move(out), std::move(dag)}; - } - - pq.begin(max_cost, stride); - pq.push(static_cast(0), -std::numeric_limits::max(), src); - Cost best_dst_cost = std::numeric_limits::max(); - bool have_best_dst = false; - const bool early_exit = dst.has_value(); - const NodeId dst_node = dst.value_or(-1); - - const bool has_residual = (residual.size() == static_cast(g.num_edges())); - const bool require_cap = selection.require_capacity || has_residual; - const bool multipath = multipath_arg; - - std::vector sel_buf; sel_buf.reserve(16); - while (!pq.empty()) { - auto [d_u, neg_res_u, u] = pq.pop(); - if (u < 0 || u >= N) continue; - if (d_u > dist[static_cast(u)]) continue; - if (!multipath && d_u == dist[static_cast(u)] && - -neg_res_u < min_residual_to_node[static_cast(u)] - kEpsilon) continue; - settled[static_cast(u)] = 1; - - if (early_exit && u == dst_node && !have_best_dst) { best_dst_cost = d_u; have_best_dst = true; } - if (early_exit && u == dst_node) { - if (pq.empty() || pq.top_cost() > best_dst_cost) break; else continue; - } - - auto start = static_cast(row[static_cast(u)]); - auto end = static_cast(row[static_cast(u)+1]); - std::size_t i = start; - while (i < end) { - NodeId v = col[i]; - if (use_node_mask && !node_mask[static_cast(v)]) { - std::size_t j_skip = i; while (j_skip < end && col[j_skip] == v) ++j_skip; i = j_skip; continue; - } - Cost min_edge_cost = std::numeric_limits::max(); - std::vector& selected_edges = sel_buf; selected_edges.clear(); - double best_rem_for_min_cost = -1.0; - std::size_t j = i; - int best_edge_id = -1; - for (; j < end && col[j] == v; ++j) { - auto e = static_cast(aei[j]); - if (use_edge_mask && !edge_mask[e]) continue; - const Cap rem = has_residual ? residual[e] : cap[e]; - if (require_cap && rem < kMinCap) continue; - const Cost ecost = static_cast(cost[e]); - if (ecost < min_edge_cost) { - min_edge_cost = ecost; - selected_edges.clear(); - if (selection.multi_edge) { - selected_edges.push_back(static_cast(aei[j])); - } else { - best_edge_id = static_cast(e); - best_rem_for_min_cost = static_cast(rem); - } - } else if (ecost == min_edge_cost) { - if (selection.multi_edge) { - selected_edges.push_back(static_cast(aei[j])); - } else { - if (selection.tie_break == EdgeTieBreak::PreferHigherResidual) { - if (static_cast(rem) > best_rem_for_min_cost + kEpsilon) { - best_edge_id = static_cast(e); - best_rem_for_min_cost = static_cast(rem); - } else if (std::abs(static_cast(rem) - best_rem_for_min_cost) <= kEpsilon) { - if (best_edge_id < 0 || static_cast(e) < best_edge_id) { - best_edge_id = static_cast(e); - } - } - } else { - if (best_edge_id < 0 || static_cast(e) < best_edge_id) { - best_edge_id = static_cast(e); - } - } - } - } - } - if (!selection.multi_edge && best_edge_id >= 0) { - selected_edges.clear(); - selected_edges.push_back(static_cast(best_edge_id)); - } - if (!selected_edges.empty()) { - Cost new_cost = static_cast(d_u + min_edge_cost); - auto v_idx = static_cast(v); - Cap max_edge_residual = static_cast(0); - for (auto edge_id : selected_edges) { - const Cap rem = has_residual ? residual[static_cast(edge_id)] - : cap[static_cast(edge_id)]; - if (rem > max_edge_residual) max_edge_residual = rem; - } - Cap path_residual = std::min(min_residual_to_node[static_cast(u)], max_edge_residual); - if (new_cost < dist[v_idx] || - (!multipath && new_cost == dist[v_idx] && !settled[v_idx] && - path_residual > min_residual_to_node[v_idx] + kEpsilon)) { - if (dist[v_idx] == INF) ws.touch(v); - dist[v_idx] = new_cost; - min_residual_to_node[v_idx] = path_residual; - pred_clear(v_idx); - for (auto sel_e : selected_edges) pred_append(v_idx, u, sel_e); - pq.push(new_cost, -path_residual, v); - } - else if (multipath && new_cost == dist[v_idx] && !settled[v_idx]) { - for (auto sel_e : selected_edges) pred_append(v_idx, u, sel_e); - } - } - i = j; - } - if (have_best_dst) { if (pq.empty() || pq.top_cost() > best_dst_cost) break; } - } - pq.end(); - - PredDAG dag; - dag.parent_offsets.assign(static_cast(N+1), 0); - if (ws.tracking() && ws.sparse_reset()) { - for (auto v : ws.touched) { - std::size_t c = 0; - for (std::int32_t i = pred_head[static_cast(v)]; i >= 0; i = ent_next[static_cast(i)]) ++c; - dag.parent_offsets[static_cast(v+1)] = static_cast(c); - } - } else { - for (std::int32_t v=0; v(v)]; i >= 0; i = ent_next[static_cast(i)]) ++c; - dag.parent_offsets[static_cast(v+1)] = static_cast(c); - } - } - for (std::size_t k=1; k(dag.parent_offsets.back())); - dag.via_edges.resize(static_cast(dag.parent_offsets.back())); - auto fill = [&](std::int32_t v) { - auto base = static_cast(dag.parent_offsets[static_cast(v)]); - std::size_t k = 0; - for (std::int32_t i = pred_head[static_cast(v)]; i >= 0; i = ent_next[static_cast(i)]) { - dag.parents[base+k] = ent_parent[static_cast(i)]; - dag.via_edges[base+k] = ent_edge[static_cast(i)]; - ++k; - } - }; - if (ws.tracking() && ws.sparse_reset()) { for (auto v : ws.touched) fill(v); } - else { for (std::int32_t v=0; v p.max_cost) p.max_cost = c; - Cost a = gcd, b = c; while (b) { Cost t = a % b; a = b; b = t; } gcd = a; - } - p.stride = gcd > 0 ? gcd : 1; - return p; -} - -} // namespace spfx diff --git a/dev/perf/spf_queue/summarize.py b/dev/perf/spf_queue/summarize.py deleted file mode 100644 index 89b4efa..0000000 --- a/dev/perf/spf_queue/summarize.py +++ /dev/null @@ -1,83 +0,0 @@ -#!/usr/bin/env python3 -"""Tabulate cpu_queue A/B/A results as Markdown (sequential single-thread medians).""" - -import csv -import glob -import os -import sys - -root = ( - sys.argv[1] - if len(sys.argv) > 1 - else os.path.join(os.path.dirname(__file__), "results", "first") -) - - -def load(pattern): - rows = {} - for path in sorted(glob.glob(os.path.join(root, pattern))): - tag = ( - os.path.basename(path)[len("time-") : -4] - if "time-" in path - else os.path.basename(path)[len("sweep-") : -4] - ) - with open(path) as f: - for r in csv.DictReader(f): - key = (r["case"], r["n"], r["e"], r["queries"], r["dst"]) - rows.setdefault(key, {})[tag] = r - return rows - - -def fmt(r): - if r is None: - return "—" - s = f"{float(r['median_ms']):.3f}" - return s + (" (heap fallback)" if r.get("fallback") == "1" else "") - - -time_rows = load("time-*.csv") -order = [ - "ref-a1", - "heap-fresh-b", - "heap-full-b", - "heap-sparse-b", - "bucket-fresh-b", - "bucket-full-b", - "bucket-sparse-b", - "bsort-fresh-b", - "bsort-sparse-b", - "ref-a2", -] -seen = {t for v in time_rows.values() for t in v} -present = [t for t in order if t in seen] + sorted(t for t in seen if t not in order) -present = [t for t in present if t != "ref-a2"] + ( - ["ref-a2"] if "ref-a2" in seen else [] -) -print( - "| Workload: case / nodes / edges / queries / dst | W | " - + " | ".join(present) - + " |" -) -print("|---|---:|" + "---:|" * len(present)) -for key, v in time_rows.items(): - any_row = next(iter(v.values())) - label = f"{key[0]} / {key[1]} / {key[2]} / {key[3]} / {key[4]}" - print( - f"| {label} | {any_row['W']} | " - + " | ".join(fmt(v.get(t)) for t in present) - + " |" - ) - -sweep_rows = load("sweep-*.csv") -if sweep_rows: - tags = sorted({t for v in sweep_rows.values() for t in v}) - print() - print("| Cost sweep: case / nodes / queries | W | " + " | ".join(tags) + " |") - print("|---|---:|" + "---:|" * len(tags)) - for key, v in sweep_rows.items(): - any_row = next(iter(v.values())) - print( - f"| {key[0]} / {key[1]} / {key[3]} | {any_row['W']} | " - + " | ".join(fmt(v.get(t)) for t in tags) - + " |" - ) diff --git a/dev/perf/spf_queue/summarize_core.py b/dev/perf/spf_queue/summarize_core.py deleted file mode 100644 index b409d8d..0000000 --- a/dev/perf/spf_queue/summarize_core.py +++ /dev/null @@ -1,34 +0,0 @@ -#!/usr/bin/env python3 -"""Tabulate the Core-level old/new/old A/B/A (results-core) as Markdown.""" - -import csv -import os -import sys - -root = ( - sys.argv[1] - if len(sys.argv) > 1 - else os.path.join(os.path.dirname(__file__), "results", "core") -) -phases = ["a1-old", "b-new", "b-new-heap", "a2-old"] -for kind in ("time", "sweep"): - rows = {} - for p in phases: - with open(f"{root}/{kind}-{p}.csv") as f: - for r in csv.DictReader(f): - key = (r["case"], r["n"], r["e"], r["queries"], r["dst"], r["W"]) - rows.setdefault(key, {})[p] = float(r["median_ms"]) - print( - f"| {kind}: case / nodes / edges / queries / destination | W | " - + " | ".join(phases) - + " | old/new | old/new-heap |" - ) - print("|---|---:|" + "---:|" * (len(phases) + 2)) - for k, v in rows.items(): - lo, hi = min(v["a1-old"], v["a2-old"]), max(v["a1-old"], v["a2-old"]) - print( - f"| {' / '.join(k[:5])} | {k[5]} | " - + " | ".join(f"{v[p]:.3f}" for p in phases) - + f" | {lo / v['b-new']:.2f}–{hi / v['b-new']:.2f} | {lo / v['b-new-heap']:.2f}–{hi / v['b-new-heap']:.2f} |" - ) - print() diff --git a/dev/perf/spf_queue/summarize_netgraph.py b/dev/perf/spf_queue/summarize_netgraph.py deleted file mode 100644 index dab8f4a..0000000 --- a/dev/perf/spf_queue/summarize_netgraph.py +++ /dev/null @@ -1,44 +0,0 @@ -#!/usr/bin/env python3 -"""Tabulate the NetGraph-workload A/B/A (old/new/old, fresh processes) as Markdown.""" - -import csv -import glob -import os -import sys - -root = ( - sys.argv[1] - if len(sys.argv) > 1 - else os.path.join(os.path.dirname(__file__), "results", "netgraph") -) -phases = ["a1-old", "b-new", "b-new-heap", "a2-old"] -rows: dict[str, dict[str, dict]] = {} -for path in sorted(glob.glob(os.path.join(root, "*.csv"))): - tag = os.path.basename(path)[:-4] - with open(path) as f: - for r in csv.DictReader(f): - rows.setdefault(r["workload"], {})[tag] = r -present = [p for p in phases if any(p in v for v in rows.values())] -print( - "| Workload | " - + " | ".join(f"{p} ms" for p in present) - + " | old/new | checksums |" -) -print("|---|" + "---:|" * len(present) + "---:|---|") -mismatch = 0 -for name, v in rows.items(): - med = {p: float(v[p]["median_s"]) * 1000 for p in present if p in v} - ratio = "" - if "a1-old" in med and "a2-old" in med and "b-new" in med: - ratio = f"{min(med['a1-old'], med['a2-old']) / med['b-new']:.2f}–{max(med['a1-old'], med['a2-old']) / med['b-new']:.2f}" - sums = {v[p]["checksum"] for p in present if p in v} - ok = "same" if len(sums) == 1 else "DIFFER" - if ok != "same": - mismatch += 1 - print( - f"| {name} | " - + " | ".join(f"{med[p]:.2f}" if p in med else "—" for p in present) - + f" | {ratio} | {ok} |" - ) -print() -print(f"checksum mismatches: {mismatch}") diff --git a/dev/research/README.md b/dev/research/README.md deleted file mode 100644 index 9bc2e5d..0000000 --- a/dev/research/README.md +++ /dev/null @@ -1,11 +0,0 @@ -# Research record - -Investigations whose outcome informed the code but whose prototypes are not -part of the library. They are kept for the evidence and the dead ends they -document, not as maintained tools. - -- [`metal_pathfinding/`](metal_pathfinding/): Apple Metal GPU shortest-path - prototypes (two phases, with raw measurements and validation audits). Their - conclusion, that a better CPU queue should come first, led to the work in - [`../perf/spf_queue/`](../perf/spf_queue/). Objective-C++ and Metal; builds - only on macOS with Xcode. diff --git a/dev/research/metal_pathfinding/README.md b/dev/research/metal_pathfinding/README.md deleted file mode 100644 index 65d7de3..0000000 --- a/dev/research/metal_pathfinding/README.md +++ /dev/null @@ -1,293 +0,0 @@ -# Metal pathfinding investigation - -**Follow-up:** the [optimization research](optimization/README.md) tests active -frontiers, buckets, batch layout and improved result construction. It finds -substantially better batch results, so the initial timings below must not be -treated as a GPU performance ceiling. Both rounds remain exploratory because -the desktop was not isolated for measurement. - -The [consolidated CPU optimisation plan](../../perf/spf_queue/PLAN.md) now governs -implementation order and acceptance. The backend integration notes below remain -relevant to a later Metal follow-up. - -Research against NetGraph-Core `fbab119` on 26–27 September 2026, using an -Apple M4 Max (14 CPU cores, 32 GPU cores, 36 GB unified memory). -This directory contains standalone experiments. It does not register a backend, -change the Python API, or modify production algorithms. - -**Answer:** adding a Metal implementation is technically feasible, and the host -integration is fairly small. A useful, compatible replacement for `Backend.cpu()` -is a substantially larger task. The candidate interface is **distances on an -immutable graph, with optional batches**, particularly for large low-hop -full-source searches, and explicit CPU fallback. It is premature -to make Metal the default SPF implementation or promise faster flow simulation. - -**What the current backend gets right.** `StrictMultiDiGraph` already has immutable -forward and reverse CSR, stable internal edge IDs, nonnegative int64 costs, and -a constructor bound on the sum of costs that prevents path-cost overflow. -These are useful GPU inputs. `Backend` and `Algorithms` provide a dispatch seam; -`FlowPolicy` calls that seam. The CPU implementation is native C++ Dijkstra, -with flat predecessor storage and Python GIL release. Its existing memoization -and reverse SPF also avoid computations that a GPU would otherwise repeat. -The appropriate comparison is this implementation, including parallel CPU -queries, not a Python Dijkstra loop. - -**Where the abstraction needs work.** These are verified properties of the -current source, not newly claimed correctness defects: - -| Area | Current behavior | Consequence for Metal | -|---|---|---| -| Graph ownership | `GraphHandle` contains only `shared_ptr`. CPU construction is non-owning; Python separately keeps the graph alive. | No place for a typed device representation or backend identity. Add owned device state and preserve topology lifetime. | -| Query interface | `spf` / `spf_to` are synchronous, single-query calls returning host vectors and a `PredDAG`. There is no batched SPF or distances-only API. | Cannot amortize dispatch across independent queries through the current interface. Every call produces a host DAG even if the caller only needs distances. | -| Cost semantics | Internal distances are int64; Python offers int64 explicitly and defaults to float64 conversion. | A float32 GPU implementation would change path selection. Keep exact integer arithmetic. | -| Predecessors | Positive-cost ECMP keeps all equal alternatives; zero-cost edges use settle order to remain acyclic. Parallel-edge selection and capacity ties are configurable. | A distance kernel plus tight-edge extraction is insufficient to reproduce the full contract. | -| Result order | Predecessor arrays follow CPU discovery order. Path enumeration consumes that order, including when capped by `max_paths`. | The prototype's deterministic edge-ID order has equivalent positive-cost edge sets, but is not byte-identical or necessarily enumeration-identical. | -| Residuals and masks | Borrowed per-call spans; capacities and residuals are double; a residual span forces capacity gating. Python currently copies residual/mask input. | Compute exact eligibility on the CPU or reproduce these semantics explicitly. Static topology upload does not remove changing-mask work. | -| Max-flow | `calc_max_flow` calls the free `shortest_paths` function directly between residual updates. | Overriding `Backend::spf` does not accelerate `Backend::max_flow`, batch max-flow, or sensitivity when those delegate to the existing CPU functions. | -| KSP | Yen-style enumeration has its own Dijkstra helper and directly calls free SPF for spurs. | Overriding backend SPF does not make KSP run on the GPU. It is also sequentially dependent across accepted paths. | -| FlowPolicy | Calls `ctx_.algorithms->spf`, generally with `dst` and changing flow state; caches some SPF results. | It can use a new backend, but single-call latency, early exit, cache hits, and residual invalidation matter. Batching across dependent placements would change semantics. | -| Downstream selection | NetGraph's context builder explicitly constructs `Backend.cpu()`. | Shipping a factory alone would not enable acceleration downstream. | - -Source pointers: [backend.hpp](../../../include/netgraph/core/backend.hpp), -[algorithms.hpp](../../../include/netgraph/core/algorithms.hpp), -[shortest_paths.hpp](../../../include/netgraph/core/shortest_paths.hpp), -[shortest_paths.cpp](../../../src/shortest_paths.cpp), -[flow_policy.cpp](../../../src/flow_policy.cpp), [max_flow.cpp](../../../src/max_flow.cpp), -[k_shortest_paths.cpp](../../../src/k_shortest_paths.cpp), -[bindings](../../../bindings/python/module.cpp). -Downstream inspection was read-only: `ngraph/analysis/context.py`, -`ngraph/analysis/placement.py`, and `dev/perf/profiles.py` in the sibling NetGraph -checkout. No downstream behavior or integration speedup was tested. - -**What the external research establishes.** Apple supplies a direct C++ Metal -interface, so there is no need to introduce Swift or a tensor framework just to -call compute kernels. An isolated Objective-C++ translation unit also works; -that is what this experiment builds using Command Line Tools and the system -Foundation/Metal frameworks. [Apple Metal-cpp](https://developer.apple.com/metal/cpp/) - -The current Metal language specification supports 64-bit `long`/`ulong`, but -does not support `double`. Its 64-bit atomics are limited: void-returning -`atomic_min_explicit` / `atomic_max_explicit` exist; a general 64-bit atomic -fetch-min/load API is not available. This is a reason to choose a suitable -algorithm, not a reason to abandon exact costs. Apple lists 64-bit atomics from -Apple9 hardware, whereas 64-bit integer math has broader availability. Capability -checks must cover the target hardware family. -[MSL specification, sections 2.1 and 6.16.4.6](https://developer.apple.com/metal/Metal-Shading-Language-Specification.pdf), -[Apple feature tables](https://developer.apple.com/metal/Metal-Feature-Set-Tables.pdf). -The [local compiler probes](results/capabilities.txt) confirm all of these -distinctions on this M4 Max, including successful void-returning 64-bit minimum. -Compilation alone is not a performance test of that atomic operation. - -MPSGraph is a graph of tensor operations, not an off-the-shelf implementation of -NetGraph's routing semantics. MLX offers custom Metal kernels, which is useful -for prototyping, but still leaves the graph algorithm and correctness contract -to us. I found no drop-in implementation of this API in these libraries. -[Apple MPSGraph](https://developer.apple.com/documentation/metalperformanceshadersgraph?changes=__5_7), -[MLX custom Metal kernels](https://ml-explore.github.io/mlx/build/html/dev/custom_metal_kernels.html). - -Gunrock provides useful GPU graph-processing designs based on frontiers and -load balancing, but its advertised backends are CUDA and HIP, not Metal. -cuGraph likewise depends on NVIDIA's CUDA stack. Neither is a library switch -for an Apple GPU. Their existence does suggest a more ambitious implementation -direction: frontier compaction and work-efficient SSSP rather than repeatedly -scanning every edge. That direction was researched, not implemented or timed. -[Gunrock](https://github.com/gunrock/gunrock), -[cuGraph installation](https://docs.nvidia.com/cugraph/26.10/installation/getting_cugraph/). - -**The experiments.** All three kernels compute exact int64 distances with -double-buffered Bellman–Ford-style pull relaxation over incoming CSR. Reverse -routing uses outgoing CSR. They do not race on distance writes and do not need -64-bit atomics. Per-edge eligibility is prepared on the host from finite double -residuals, node masks, and edge masks. The cost of this preparation and buffer -allocation is recorded as `upload_ms`; each warm query reuses that snapshot. -All prototypes currently model capacity-gated, multipath, multi-edge, full-source -queries. General selection options and changing eligibility are not benchmarked. -Every query in a batch shares the same mask/residual snapshot; this is not a -benchmark of independent failure scenarios with different masks per query. - -| Method | Execution | Intended experiment | -|---|---|---| -| `metal_pull` | One thread per query/vertex, separate dependent dispatches; up to eight rounds per command buffer before checking convergence. | Spread one large query across the GPU; measure repeated launch/synchronization costs. | -| `metal_group` | One threadgroup per query, convergence inside the kernel, global-memory ping-pong distance arrays. | Amortize dispatch across many independent sources without a grid-wide barrier. | -| `metal_shared` | One threadgroup per query, with distance arrays in threadgroup memory. | Reduce memory/barrier overhead for small graphs; enabled only when runtime scratch-memory limits permit. | - -Each returns host distance vectors. The measured full result then scans edges -on the CPU and constructs a positive-cost ECMP DAG. **That full timing includes -DAG construction**, but its order differs from the current CPU implementation. -`distance_wall_ms` ends before DAG construction; `gpu_ms` contains command-buffer -GPU timestamps, not end-to-end API latency. Neither should be presented as the -speed of a compatible `Algorithms.spf` replacement. - -The pull algorithms perform `O(Q * H * (V + E))` work, where `H` is -the number of relaxation rounds (up to `V`), versus heap Dijkstra's usual -`O((V + E) log V)` per source. This makes hop depth and degree as important as -vertex count. These kernels are feasibility baselines, not an optimized -frontier/delta-stepping implementation or a bound on what Metal can achieve. -Two int64 distance buffers require `16 * V * Q` bytes: 64 MiB at 65,536 vertices -and 64 sources, before host outputs and DAGs. A dense int64 matrix at the same -vertex count would itself require 32 GiB. An all-pairs approach therefore needs -an explicit memory/work analysis and batching on this 36 GB machine. - -The CPU controls use the actual current `shortest_paths` / `shortest_paths_to` -sources, built with `-O3 -flto -funroll-loops`. Controls include serial full SPF, -an independent distances-only Dijkstra, and both full SPF and distances-only -Dijkstra through ten reusable worker threads. Pool startup is outside timing; -task submission and result allocation -are inside. Profiling is disabled. The experiment does not exercise Python -binding overhead or an integrated flow-placement workload. - -The full suite covers 27 graph/batch configurations: 128–65,536 vertices, -up to 524,288 directed edges, batches of 1–256 queries, nonuniform random costs, -parallel edges/self-loops, leaf–spine fabrics, 32x32 / 100x100 / 200x200 grids, -directed chains, and masked reverse queries with costs above 32 bits. The Clos -and grid shapes were selected after inspecting NetGraph's own benchmark catalogue; -these remain generated fixtures, not a replay of a user's production topology. - -**Correctness evidence.** Every timed sample, including warmups, compares every -distance and the canonical `(child, parent, edge-id)` predecessor multiset to the -current C++ result. The independent CPU Dijkstra is also checked against that -result. Timing excludes verification. Twelve seeded small masked multigraphs -exercise all three GPU methods in both normal and sanitizer/Metal validation -runs. Hand-derived witnesses additionally check: - -- Diamond ECMP, equal-cost parallel edges, positive self-loop exclusion, and an isolated node. -- Reverse distances and forward-oriented predecessor edges. -- Masked source, masked transit node, and combined residual/edge masks. -- A residual just below `kMinCap` versus exactly at the threshold. -- Int64 costs above 2^53, including a one-unit difference between candidate paths. - -The witnesses also deliberately reproduce unsupported simplifications: - -- Float32 equates 16,777,216 and 16,777,217 and rounds a residual immediately below - `kMinCap` up to the threshold. It also erases a `1` versus `1 + 1e-8` capacity tie. -- On a zero-cost `0 -> 1 -> 2 -> 1` graph, distances agree but naive tight-edge - reconstruction contains a cycle; the CPU DAG correctly retains only two edges. -- Full-suite CSVs record how many query DAGs retain exactly the CPU's array order. - Canonical equality is not silently reported as byte-for-byte parity. - -An initial long run exposed a convergence-flag race in the research kernels: -after the end-of-round barrier, a fast lane could reset the flag for the next -round before every lane had read it. An additional barrier after the reads -fixes that ordering. The rejected run is retained under -[results/rejected-race](results/rejected-race/), and is excluded from conclusions. -After correction, each of two 64-query stress cases passed 100 timed repetitions -plus two warmups for each of three kernels (39,168 complete query comparisons). -An additional 20 timed repetitions plus two warmups per case/kernel passed with -ASan/UBSan and Metal API/shader validation (8,448 query comparisons). -These checks found and then exercised the fix; they are not a proof of every -possible shader interleaving. See [stress.csv](results/stress.csv), -[stress-sanitized.csv](results/stress-sanitized.csv), -[validation log](results/stress-validation.txt), and -[witnesses](results/witnesses-sanitized.txt). - -**Performance acceptance remains separate from correctness.** The script uses -fresh processes in CPU / GPU / CPU order on this Mac, nine timed samples per row -after two warmups, and records each raw sample, pipeline startup, upload cost, -CPU load, and GPU utilization. Builds and test suites do not overlap those runs. -The desktop has active background work. These observations must be labelled -exploratory; the repository's quiet-machine requirement is not yet satisfied. -No production speedup or universal CPU/GPU crossover is established by them. -See [A/B/A data](results/aba/) and the generated -[timing table](results/aba/summary.md), including CPU-control drift. - -The final run's second CPU-load snapshots were 90.7%, 90.75%, and 73.37% idle -before A1, B, and A2. Some tiny-query CPU controls drifted substantially -(up to 67% between phase medians), so an automatic dispatch threshold cannot -be justified from this run. Selected raw observations below are milliseconds -for distances **plus DAG construction**; CPU batches use ten workers: - -| Generated graph | Queries | CPU A1 | Metal B | CPU A2 | -|---|---:|---:|---:|---:| -| Random, 1,024 vertices / 8,192 edges | 1 | 0.145 | 0.707 | 0.115 | -| Random, 65,536 vertices / 524,288 edges | 1 | 20.762 | 4.922 | 22.345 | -| Random, 16,384 vertices / 131,072 edges | 64 | 28.290 | 54.004 | 28.429 | -| Clos, 800 vertices / 320,000 edges | 64 | 17.462 | 72.452 | 17.634 | -| Grid, 40,000 vertices / 159,200 edges | 1 | 2.913 | 8.408 | 2.937 | - -These observations identify follow-up candidates rather than establish a -validated speedup. Large low-hop full-source searches deserve a quiet repeat; -small graphs and deep grids/chains do not provide a general reason to offload -with these algorithms. Dropping the DAG changes the experiment materially: -at 16,384 random vertices and 64 queries, CPU distances-only controls were -14.898 / 15.059 ms, with 9.176 ms for the GPU distance stage. Conversely, -the 800-vertex Clos batch was 2.672 / 2.661 ms on the CPU versus 5.681 ms for -the GPU distance stage. Batching alone is not a sufficient selection rule. -Pipeline startup in this repeat was 24.135 ms; the shader cache had already -been exercised, so this is not a cold-install startup measurement. - -**Implementation sequence, revised after the CPU experiments.** Follow the -[CPU plan](../../perf/spf_queue/PLAN.md) before selecting a GPU backend. Its -[queue-substitution experiment](../../perf/spf_queue/) showed that an ordered -bucket queue inside the existing search reproduces the native result contract -bit-exactly and runs 1.3–1.9x faster on weighted graphs; BFS and -bounded-integer buckets are its special cases, with a width limit and heap -fallback. It is implemented in the working tree and measured old/new/old at the -Core level and through NetGraph. A batch or distances-only API is conditional -on demonstrated callers. -Reuse reverse SPF and caches before increasing the query count, and measure -representative NetGraph workloads end to end. - -Then, if a quiet benchmark justifies it, add an opt-in `Backend.metal()` or an -explicit batch accelerator. Store owned CSR buffers and a backend identity in -the graph handle; keep the graph immutable and the masks versioned or copied per -request. A macOS-only Objective-C++ file and optional CMake Metal/Foundation -linkage are sufficient for the host layer. Keep per-request scratch state safe -under concurrent GIL-released callers. Runtime device/pipeline failures need a -documented policy, and non-Apple builds must retain the CPU-only path. -A first adapter can hold `make_cpu_backend()` and delegate its unimplemented -virtual methods there; it does not require rewriting every algorithm at once. -That is a straightforward way to add a selectable factory, but it must expose -which operations actually execute on the GPU rather than imply that delegating -max-flow or KSP became accelerated. - -For the first compatible SPF implementation, retain int64 arithmetic and exact -CPU eligibility; keep zero-cost DAGs, single-path capacity tie-breaking, -fanout-edge semantics, and any unimplemented selection modes on CPU. Preserve -existing predecessor order before declaring parity for the existing result API, -as required by the consolidated CPU plan. A new distances-only batch API avoids most DAG-specific compatibility -work. It must still distinguish supported options from silently ignored ones. - -The [follow-up](optimization/README.md) has since tested frontier/bucket methods, -GPU predecessor extraction and guarded 32-bit paths. Production adoption still -requires a compatible result contract and a measured win over the improved CPU. -Directly moving the existing heap-based Dijkstra loop to a GPU is unlikely to -expose useful parallel work. Dense all-pairs tensor formulations change the -memory/work complexity and are not the straightforward default for sparse -network graphs. These are engineering judgments, not measured claims about -unimplemented algorithms. - -Keep max-flow, KSP, and placement on the CPU initially. Accelerating their SPF -internals requires additional dispatch plumbing and end-to-end validation of -flow amounts, feasibility, conservation, cuts, costs, masks, and cost factors; -the present distance experiment provides no such validation. Bindings and -`python/netgraph_core/_docs.py` must change together if public APIs are added. -Metal runtime tests need a real Apple GPU CI runner. Local success does not -replace CI. - -**Reproduction.** Run from the repository root on a Mac with a Metal device: - -```bash -bash dev/research/metal_pathfinding/build.sh -build/metal_pathfinding/capabilities -build/metal_pathfinding/experiment gpu dev/research/metal_pathfinding/sssp.metal witnesses 1 -build/metal_pathfinding/experiment gpu dev/research/metal_pathfinding/sssp.metal correctness 2 -build/metal_pathfinding/experiment gpu dev/research/metal_pathfinding/sssp.metal stress 100 - -# Close out other compute work before making performance claims. -# Use a fresh output directory to preserve the recorded run. -bash dev/research/metal_pathfinding/run_aba.sh /tmp/netgraph-metal-aba -venv/bin/python dev/research/metal_pathfinding/summarize.py /tmp/netgraph-metal-aba - -bash dev/research/metal_pathfinding/build.sh sanitize -MTL_DEBUG_LAYER=1 MTL_SHADER_VALIDATION=1 ASAN_OPTIONS=detect_leaks=0 \ - build/metal_pathfinding/experiment-sanitize gpu \ - dev/research/metal_pathfinding/sssp.metal stress 20 -``` - -Repository validation also ran `bash .superset/workspace.sh check` (extension -rebuilt; lint/types clean; 170 C++ tests and 465 Python tests passed) and -`make sanitize-test` (170 C++ tests passed). No production C++ source, binding, -or downstream code was modified. No CI run, commit, or push was made. -The [workspace check log](results/workspace-check.txt), -[core sanitizer log](results/sanitize-test.txt), and -[prototype CPU sanitizer results](results/cpu-sanitized.csv) are retained. diff --git a/dev/research/metal_pathfinding/build.sh b/dev/research/metal_pathfinding/build.sh deleted file mode 100644 index 15f5b24..0000000 --- a/dev/research/metal_pathfinding/build.sh +++ /dev/null @@ -1,14 +0,0 @@ -#!/usr/bin/env bash -set -euo pipefail -cd "$(dirname "$0")/../.." -mkdir -p build/metal_pathfinding -flags=(-std=c++20 -O3 -flto -funroll-loops -fno-math-errno -fno-trapping-math) -if [[ ${1:-} == sanitize ]]; then - flags=(-std=c++20 -O1 -g -fsanitize=address,undefined -fno-sanitize-recover=undefined -fno-omit-frame-pointer) -fi -xcrun clang++ "${flags[@]}" -fobjc-arc -Iinclude \ - dev/research/metal_pathfinding/experiment.mm src/strict_multidigraph.cpp \ - src/shortest_paths.cpp src/profiling.cpp -framework Foundation -framework Metal \ - -o "build/metal_pathfinding/experiment${1:+-$1}" -xcrun clang++ -std=c++20 -O3 -fobjc-arc dev/research/metal_pathfinding/capabilities.mm \ - -framework Foundation -framework Metal -o build/metal_pathfinding/capabilities diff --git a/dev/research/metal_pathfinding/capabilities.mm b/dev/research/metal_pathfinding/capabilities.mm deleted file mode 100644 index bbef385..0000000 --- a/dev/research/metal_pathfinding/capabilities.mm +++ /dev/null @@ -1,28 +0,0 @@ -#import -#import -#include - -int main() { - @autoreleasepool { - id device = MTLCreateSystemDefaultDevice(); - if (!device) return 1; - std::cout << "device=" << device.name.UTF8String - << " unified=" << device.hasUnifiedMemory - << " max_buffer=" << device.maxBufferLength << '\n'; - NSArray* bodies = @[ - @"kernel void test(device long* x [[buffer(0)]], uint i [[thread_position_in_grid]]) { x[i] += 1; }", - @"kernel void test(device double* x [[buffer(0)]], uint i [[thread_position_in_grid]]) { x[i] += 1.0; }", - @"kernel void test(device atomic_ulong* x [[buffer(0)]]) { atomic_fetch_min_explicit(x, 1ul, memory_order_relaxed); }", - @"kernel void test(device atomic_uint* x [[buffer(0)]]) { atomic_fetch_min_explicit(x, 1u, memory_order_relaxed); }", - @"kernel void test(device atomic_ulong* x [[buffer(0)]]) { atomic_min_explicit(x, 1ul, memory_order_relaxed); }", - @"kernel void test(device atomic_ulong* x [[buffer(0)]], device ulong* y [[buffer(1)]]) { y[0] = atomic_load_explicit(x, memory_order_relaxed); }" - ]; - for (NSUInteger i = 0; i < bodies.count; ++i) { - NSError* error = nil; - NSString* source = [@"#include \nusing namespace metal;\n" stringByAppendingString:bodies[i]]; - id library = [device newLibraryWithSource:source options:nil error:&error]; - std::cout << "probe=" << i << " compiled=" << (library != nil) << '\n'; - if (!library) std::cout << error.localizedDescription.UTF8String << '\n'; - } - } -} diff --git a/dev/research/metal_pathfinding/experiment.mm b/dev/research/metal_pathfinding/experiment.mm deleted file mode 100644 index 671cbcb..0000000 --- a/dev/research/metal_pathfinding/experiment.mm +++ /dev/null @@ -1,526 +0,0 @@ -// Standalone research harness, not a registered NetGraph backend. -#import -#import - -#include "netgraph/core/shortest_paths.hpp" -#include "netgraph/core/constants.hpp" -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include - -using namespace netgraph::core; -using Result = std::pair, PredDAG>; -using Clock = std::chrono::steady_clock; -constexpr Cost INF = std::numeric_limits::max(); -double ms(Clock::time_point start) { - return std::chrono::duration(Clock::now() - start).count(); -} - -struct Case { - std::string name; - StrictMultiDiGraph graph; - std::unique_ptr node_mask, edge_mask; - std::vector residual; - bool reverse = false; - std::span nm() const { return {node_mask.get(), size_t(graph.num_nodes())}; } - std::span em() const { return {edge_mask.get(), size_t(graph.num_edges())}; } -}; - -Case make_case(std::string kind, int n, int degree = 8, bool masked = false, - bool large = false, bool reverse = false, unsigned seed = 1729) { - std::vector src, dst; - std::vector costs; - std::vector caps; - std::mt19937 rng(seed); - auto add = [&](int u, int v, Cost c) { - src.push_back(u); dst.push_back(v); - costs.push_back(c + (large ? (Cost(1) << 34) : 0)); - caps.push_back(1.0 + double(rng() % 100) / 7.0); - }; - if (kind == "chain") { - for (int i = 0; i < n - 1; ++i) add(i, i + 1, 1 + rng() % 31); - } else if (kind == "grid") { - int side = int(std::sqrt(n)); - if (side * side != n) throw std::runtime_error("grid must be square"); - for (int u = 0; u < n; ++u) { - if (u % side + 1 < side) { add(u, u + 1, 1); add(u + 1, u, 1); } - if (u + side < n) { add(u, u + side, 1); add(u + side, u, 1); } - } - } else if (kind == "fabric" || kind == "clos") { - int spines = kind == "clos" ? n / 2 : 32; - for (int u = 0; u < n - spines; ++u) for (int v = n - spines; v < n; ++v) { - add(u, v, 1); add(v, u, 1); - } - } else { - for (int u = 0; u < n; ++u) { - add(u, (u + 1) % n, 1 + rng() % 31); - for (int k = 1; k < degree; ++k) add(u, rng() % n, 1 + rng() % 31); - } - } - Case c{kind + (masked ? "_masked" : "") + (large ? "_int64" : "") + - (reverse ? "_reverse" : ""), - StrictMultiDiGraph::from_arrays(n, src, dst, caps, costs)}; - c.reverse = reverse; - int e = c.graph.num_edges(); - c.node_mask = std::make_unique(n); - c.edge_mask = std::make_unique(e); - c.residual.assign(c.graph.capacity_view().begin(), c.graph.capacity_view().end()); - for (int i = 0; i < n; ++i) c.node_mask[i] = !masked || rng() % 23 != 0; - for (int i = 0; i < e; ++i) { - c.edge_mask[i] = !masked || rng() % 11 != 0; - if (masked && rng() % 13 == 0) c.residual[i] = 0; - } - return c; -} - -Result cpu(const Case& c, NodeId source) { - if (c.reverse) - return shortest_paths_to(c.graph, source, true, EdgeSelection{}, c.residual, c.nm(), c.em()); - return shortest_paths(c.graph, source, {}, true, EdgeSelection{}, c.residual, c.nm(), c.em()); -} - -// Stronger CPU comparator: no DAG allocation and no capacity tie-breaking. -std::vector cpu_distance(const Case& c, NodeId source) { - auto& g = c.graph; - auto row = c.reverse ? g.in_row_offsets_view() : g.row_offsets_view(); - auto col = c.reverse ? g.in_col_indices_view() : g.col_indices_view(); - auto ids = c.reverse ? g.in_adj_edge_index_view() : g.adj_edge_index_view(); - auto costs = g.cost_view(); - std::vector dist(g.num_nodes(), INF); - if (!c.node_mask[source]) return dist; - using Item = std::pair; - std::priority_queue, std::greater> queue; - dist[source] = 0; queue.emplace(0, source); - while (!queue.empty()) { - auto [d, u] = queue.top(); queue.pop(); - if (d != dist[u]) continue; - for (int j = row[u]; j < row[u + 1]; ++j) { - int v = col[j], e = ids[j]; - if (!c.node_mask[v] || !c.edge_mask[e] || c.residual[e] < kMinCap) continue; - Cost next = d + costs[e]; - if (next < dist[v]) { dist[v] = next; queue.emplace(next, v); } - } - } - return dist; -} - -// Reusable workers: CPU batch baseline does not pay thread creation per sample. -class Pool { - std::mutex mutex; - std::condition_variable start, done; - std::vector workers; - std::function task; - std::atomic next{0}; - int count = 0, pending = 0, generation = 0; - bool stop = false; -public: - explicit Pool(int n) { - for (int i = 0; i < n; ++i) workers.emplace_back([this] { - int seen = 0; - for (;;) { - std::unique_lock lock(mutex); - start.wait(lock, [&] { return stop || generation != seen; }); - if (stop) return; - seen = generation; - lock.unlock(); - for (int i; (i = next.fetch_add(1)) < count;) task(i); - lock.lock(); - if (--pending == 0) done.notify_one(); - } - }); - } - void run(int n, std::function f) { - std::unique_lock lock(mutex); - task = std::move(f); count = n; next = 0; pending = int(workers.size()); ++generation; - start.notify_all(); - done.wait(lock, [&] { return pending == 0; }); - } - ~Pool() { - { std::lock_guard lock(mutex); stop = true; } - start.notify_all(); - for (auto& t : workers) t.join(); - } -}; - -struct Metal { - id device; - id queue; - id pull, group, shared; - double setup_ms; - Metal(const char* path) { - auto t = Clock::now(); - device = MTLCreateSystemDefaultDevice(); - if (!device) throw std::runtime_error("No Metal device"); - queue = [device newCommandQueue]; - NSError* error = nil; - NSString* code = [NSString stringWithContentsOfFile:[NSString stringWithUTF8String:path] - encoding:NSUTF8StringEncoding error:&error]; - if (!code) throw std::runtime_error(error.localizedDescription.UTF8String); - id library = [device newLibraryWithSource:code options:nil error:&error]; - if (!library) throw std::runtime_error(error.localizedDescription.UTF8String); - pull = [device newComputePipelineStateWithFunction:[library newFunctionWithName:@"relax_pull"] error:&error]; - group = [device newComputePipelineStateWithFunction:[library newFunctionWithName:@"solve_group"] error:&error]; - shared = [device newComputePipelineStateWithFunction:[library newFunctionWithName:@"solve_shared"] error:&error]; - if (!pull || !group || !shared) throw std::runtime_error(error.localizedDescription.UTF8String); - setup_ms = ms(t); - std::cerr << "device=" << device.name.UTF8String << " setup_ms=" << setup_ms - << " execution_width=" << pull.threadExecutionWidth << '\n'; - } - id buffer(const void* ptr, size_t size) { - auto b = [device newBufferWithLength:std::max(size_t(4), size) options:MTLResourceStorageModeShared]; - if (!b) throw std::runtime_error("Metal allocation failed"); - if (ptr && size) std::memcpy(b.contents, ptr, size); - return b; - } -}; - -struct GpuGraph { - const Case& c; - Metal& m; - id row, col, cost, allowed, a, b, changed, sources; - std::vector enabled; - std::vector valid_sources; - size_t n, q; - double upload_ms = 0, gpu_ms = 0, distance_ms = 0; - int rounds = 0; - GpuGraph(const Case& testcase, Metal& metal, const std::vector& query_sources) - : c(testcase), m(metal), n(c.graph.num_nodes()), q(query_sources.size()) { - auto t = Clock::now(); - auto& g = c.graph; - // Reverse SSSP pulls from outgoing CSR. Eligibility uses original edge IDs. - auto rows = c.reverse ? g.row_offsets_view() : g.in_row_offsets_view(); - auto cols = c.reverse ? g.col_indices_view() : g.in_col_indices_view(); - auto ids = c.reverse ? g.adj_edge_index_view() : g.in_adj_edge_index_view(); - std::vector costs(ids.size()); - enabled.resize(ids.size()); - for (size_t j = 0; j < ids.size(); ++j) { - int e = ids[j]; - enabled[j] = c.node_mask[g.edge_src_view()[e]] && c.node_mask[g.edge_dst_view()[e]] && - c.edge_mask[e] && c.residual[e] >= kMinCap; - costs[j] = g.cost_view()[e]; - } - valid_sources = query_sources; - for (auto& source : valid_sources) if (!c.node_mask[source]) source = -1; - row = m.buffer(rows.data(), rows.size_bytes()); - col = m.buffer(cols.data(), cols.size_bytes()); - cost = m.buffer(costs.data(), costs.size() * sizeof(Cost)); - allowed = m.buffer(enabled.data(), enabled.size()); - a = m.buffer(nullptr, n * q * sizeof(Cost)); - b = m.buffer(nullptr, n * q * sizeof(Cost)); - changed = m.buffer(nullptr, std::max(size_t(8), q) * sizeof(uint32_t)); - sources = m.buffer(valid_sources.data(), q * sizeof(int)); - upload_ms = ms(t); - } - - void bind(id encoder, id before, id after) { - [encoder setBuffer:row offset:0 atIndex:0]; - [encoder setBuffer:col offset:0 atIndex:1]; - [encoder setBuffer:cost offset:0 atIndex:2]; - [encoder setBuffer:allowed offset:0 atIndex:3]; - [encoder setBuffer:before offset:0 atIndex:4]; - [encoder setBuffer:after offset:0 atIndex:5]; - [encoder setBuffer:changed offset:0 atIndex:6]; - } - void wait(id command) { - [command commit]; [command waitUntilCompleted]; - if (command.status == MTLCommandBufferStatusError) - throw std::runtime_error(command.error.localizedDescription.UTF8String); - gpu_ms += (command.GPUEndTime - command.GPUStartTime) * 1000; - } - std::vector run(bool persistent, bool materialize = true, bool shared = false) { - auto begin = Clock::now(); - gpu_ms = 0; rounds = 0; - struct Params { uint32_t n, queries, round, unused; } p{uint32_t(n), uint32_t(q), 0, 0}; - std::vector outputs(q); - if (persistent) { - id command = [m.queue commandBuffer]; - auto encoder = [command computeCommandEncoder]; - [encoder setComputePipelineState:shared ? m.shared : m.group]; - bind(encoder, a, b); - [encoder setBytes:&p length:sizeof(p) atIndex:7]; - [encoder setBuffer:sources offset:0 atIndex:8]; - if (shared) { - if (n * 16 + m.shared.staticThreadgroupMemoryLength > m.device.maxThreadgroupMemoryLength) - throw std::runtime_error("threadgroup scratch too large"); - [encoder setThreadgroupMemoryLength:n * 16 atIndex:0]; - } - [encoder dispatchThreadgroups:MTLSizeMake(q, 1, 1) threadsPerThreadgroup:MTLSizeMake(256, 1, 1)]; - [encoder endEncoding]; wait(command); - auto counts = static_cast(changed.contents); - for (size_t i = 0; i < q; ++i) { - rounds = std::max(rounds, int(counts[i])); - outputs[i] = static_cast((!shared && counts[i] % 2 ? b : a).contents) + i * n; - } - } else { - auto initial = static_cast(a.contents); - std::fill(initial, initial + n * q, INF); - for (size_t i = 0; i < q; ++i) if (valid_sources[i] >= 0) initial[i * n + valid_sources[i]] = 0; - id before = a, after = b; - while (rounds < int(n)) { - int steps = std::min(8, int(n) - rounds); - std::memset(changed.contents, 0, 8 * sizeof(uint32_t)); - id command = [m.queue commandBuffer]; - for (int j = 0; j < steps; ++j) { - // Separate encoders with tracked resources establish the round dependency. - auto encoder = [command computeCommandEncoder]; - [encoder setComputePipelineState:m.pull]; bind(encoder, before, after); - p.round = j; - [encoder setBytes:&p length:sizeof(p) atIndex:7]; - [encoder dispatchThreads:MTLSizeMake(n * q, 1, 1) threadsPerThreadgroup:MTLSizeMake(256, 1, 1)]; - [encoder endEncoding]; std::swap(before, after); - } - wait(command); rounds += steps; - if (static_cast(changed.contents)[steps - 1] == 0) break; - } - for (size_t i = 0; i < q; ++i) outputs[i] = static_cast(before.contents) + i * n; - } - std::vector results(q); - for (size_t i = 0; i < q; ++i) results[i].first.assign(outputs[i], outputs[i] + n); - distance_ms = ms(begin); - if (!materialize) return results; - for (size_t query = 0; query < q; ++query) { - auto& d = results[query].first; - auto& dag = results[query].second; - auto& g = c.graph; - // Positive-cost ECMP reconstruction. Zero costs intentionally require fallback. - auto esrc = g.edge_src_view(); auto edst = g.edge_dst_view(); auto costs = g.cost_view(); - auto tight = [&](size_t e) { - int u = esrc[e], v = edst[e]; - return c.node_mask[u] && c.node_mask[v] && c.edge_mask[e] && c.residual[e] >= kMinCap && - (c.reverse ? (d[v] != INF && d[u] == d[v] + costs[e]) : - (d[u] != INF && d[v] == d[u] + costs[e])); - }; - dag.parent_offsets.assign(n + 1, 0); - for (size_t e = 0; e < costs.size(); ++e) if (tight(e)) ++dag.parent_offsets[edst[e] + 1]; - std::partial_sum(dag.parent_offsets.begin(), dag.parent_offsets.end(), dag.parent_offsets.begin()); - dag.parents.resize(dag.parent_offsets.back()); dag.via_edges.resize(dag.parents.size()); - auto cursor = dag.parent_offsets; - for (size_t e = 0; e < costs.size(); ++e) if (tight(e)) { - int pos = cursor[edst[e]]++; dag.parents[pos] = esrc[e]; dag.via_edges[pos] = int(e); - } - } - return results; - } -}; - -std::vector> canonical(const PredDAG& dag) { - std::vector> entries; - for (size_t v = 0; v + 1 < dag.parent_offsets.size(); ++v) - for (int j = dag.parent_offsets[v]; j < dag.parent_offsets[v + 1]; ++j) - entries.emplace_back(v, dag.parents[j], dag.via_edges[j]); - std::sort(entries.begin(), entries.end()); return entries; -} - -void verify(const std::vector& expected, const std::vector& actual) { - if (expected.size() != actual.size()) throw std::runtime_error("query size mismatch"); - for (size_t q = 0; q < expected.size(); ++q) { - if (expected[q].first != actual[q].first) { - auto mismatch = std::mismatch(expected[q].first.begin(), expected[q].first.end(), actual[q].first.begin()); - throw std::runtime_error("distance mismatch at query " + std::to_string(q) + " node " + - std::to_string(mismatch.first - expected[q].first.begin()) + " expected " + - std::to_string(*mismatch.first) + " actual " + std::to_string(*mismatch.second)); - } - if (canonical(expected[q].second) != canonical(actual[q].second)) - throw std::runtime_error("DAG edge set mismatch at query " + std::to_string(q)); - } -} - -double median(std::vector x) { std::sort(x.begin(), x.end()); return x[x.size() / 2]; } - -void witnesses(Metal& metal) { - auto fixture = [](int n, std::vector src, std::vector dst, - std::vector costs, std::vector caps) { - Case c{"witness", StrictMultiDiGraph::from_arrays(n, src, dst, caps, costs)}; - c.node_mask = std::make_unique(n); - c.edge_mask = std::make_unique(costs.size()); - std::fill_n(c.node_mask.get(), n, true); - std::fill_n(c.edge_mask.get(), costs.size(), true); - c.residual.assign(c.graph.capacity_view().begin(), c.graph.capacity_view().end()); - return c; - }; - auto check = [&](Case& c, NodeId source, const std::vector& distances, size_t edges) { - auto expected = cpu(c, source); - if (expected.first != distances || expected.second.via_edges.size() != edges) - throw std::runtime_error("hand-derived witness mismatch"); - GpuGraph gpu(c, metal, {source}); - for (int method = 0; method < 3; ++method) - verify({expected}, gpu.run(method != 0, true, method == 2)); - }; - auto c = fixture(5, {0, 0, 0, 1, 2, 1}, {1, 1, 2, 3, 3, 1}, - {1, 1, 1, 1, 1, 1}, {1, 1, 1, 1, 1, 1}); - check(c, 0, {0, 1, 1, 2, INF}, 5); - std::cout << "PASS diamond: all ECMP alternatives, parallel edges, positive self-loop excluded, isolated node\n"; - c.reverse = true; - check(c, 3, {2, 1, 1, 0, INF}, 5); - c.reverse = false; - std::cout << "PASS reverse diamond: hand-derived distances and forward DAG\n"; - c.node_mask[0] = false; - check(c, 0, {INF, INF, INF, INF, INF}, 0); - c.node_mask[0] = true; - c.node_mask[1] = false; - check(c, 0, {0, INF, 1, 2, INF}, 2); - c.node_mask[1] = true; - std::cout << "PASS masked source and transit node\n"; - // All costs equal, graph order is (src,dst), making edge 0 the first parallel edge. - c.residual[0] = std::nextafter(kMinCap, 0.0); - c.residual[1] = kMinCap; - check(c, 0, {0, 1, 1, 2, INF}, 4); - std::cout << "PASS double capacity threshold: below rejected, exact threshold admitted\n"; - c.edge_mask[1] = false; - check(c, 0, {0, INF, 1, 2, INF}, 2); - std::cout << "PASS edge mask and residual gate combined\n"; - - Cost big = Cost(1) << 54; - auto wide = fixture(5, {0, 0, 1, 2}, {1, 2, 3, 3}, - {big, big, big + 1, big + 2}, {1, 1, 1, 1}); - check(wide, 0, {0, big, big, 2 * big + 1, INF}, 3); - std::cout << "PASS exact int64 costs above 2^53 and one-unit path difference\n"; - - auto zero = fixture(3, {0, 1, 2}, {1, 2, 1}, {0, 0, 0}, {1, 1, 1}); - auto expected = cpu(zero, 0); - GpuGraph zg(zero, metal, {0}); - auto actual = zg.run(true); - if (actual[0].first != expected.first || expected.second.via_edges.size() != 2 || - actual[0].second.via_edges.size() != 3) - throw std::runtime_error("zero-cost gap witness changed"); - std::cout << "PASS expected gap: zero-cost distances agree, tight-edge GPU DAG has 1->2->1 cycle; CPU DAG has 2 edges\n"; - if (float(16777216) != float(16777217) || - float(std::nextafter(kMinCap, 0.0)) != float(kMinCap)) - throw std::runtime_error("precision gap witness changed"); - std::cout << "PASS precision gaps: float32 collapses 16777216/16777217 and admits nextafter(kMinCap,0)\n"; - - auto tie = fixture(2, {0, 0}, {1, 1}, {1, 1}, {1, 1 + 1e-8}); - EdgeSelection sel; - sel.multi_edge = false; sel.tie_break = EdgeTieBreak::PreferHigherResidual; - auto t = shortest_paths(tie.graph, 0, {}, false, sel); - if (t.second.via_edges != std::vector{1} || float(1 + 1e-8) != float(1)) - throw std::runtime_error("capacity tie witness changed"); - std::cout << "PASS capacity tie gap: CPU chooses edge 1 at 1+1e-8; float32 collapses both capacities\n"; -} - -void benchmark(Case& c, int queries, const std::string& mode, Metal* metal, Pool& pool, int samples) { - std::vector sources(queries); - for (int i = 0; i < queries; ++i) sources[i] = (i * 997) % c.graph.num_nodes(); - std::vector expected(queries); - for (int i = 0; i < queries; ++i) expected[i] = cpu(c, sources[i]); - std::unique_ptr gpu; - if (metal) gpu = std::make_unique(c, *metal, sources); - std::vector methods = mode == "cpu" ? - std::vector{"cpu_full", "cpu_distance", "cpu_pool10", "cpu_pool10_distance"} : - std::vector{"metal_pull", "metal_group"}; - if (metal && size_t(c.graph.num_nodes()) * 16 + metal->shared.staticThreadgroupMemoryLength <= metal->device.maxThreadgroupMemoryLength) - methods.push_back("metal_shared"); - for (const auto& method : methods) { - std::vector times, device_times, distance_times; - int exact_order = 0; - for (int rep = -2; rep < samples; ++rep) { - @autoreleasepool { - auto start = Clock::now(); - std::vector actual; - if (method == "cpu_full") { - actual.resize(queries); - for (int i = 0; i < queries; ++i) actual[i] = cpu(c, sources[i]); - } else if (method == "cpu_pool10") { - actual.resize(queries); - pool.run(queries, [&](int i) { actual[i] = cpu(c, sources[i]); }); - } else if (method == "cpu_distance" || method == "cpu_pool10_distance") { - actual.resize(queries); - auto task = [&](int i) { actual[i].first = cpu_distance(c, sources[i]); }; - if (method == "cpu_distance") { - for (int i = 0; i < queries; ++i) task(i); - } else pool.run(queries, task); - } else actual = gpu->run(method != "metal_pull", true, method == "metal_shared"); - double elapsed = ms(start); - // Full validation is outside timing, on every sample, not just warmup. - if (method == "cpu_distance" || method == "cpu_pool10_distance") { - for (int i = 0; i < queries; ++i) if (actual[i].first != expected[i].first) - throw std::runtime_error("CPU distance baseline mismatch"); - } else { - verify(expected, actual); - exact_order = 0; - for (int i = 0; i < queries; ++i) - if (expected[i].second.parents == actual[i].second.parents && - expected[i].second.via_edges == actual[i].second.via_edges) ++exact_order; - } - if (rep >= 0) { - times.push_back(elapsed); - device_times.push_back(gpu ? gpu->gpu_ms : 0); - distance_times.push_back(gpu ? gpu->distance_ms : elapsed); - } - } - } - std::cout << c.name << ',' << c.graph.num_nodes() << ',' << c.graph.num_edges() << ',' << queries - << ',' << method << ',' << std::fixed << std::setprecision(6) << median(times) - << ',' << median(device_times) << ',' << median(distance_times) << ',' - << (gpu ? gpu->upload_ms : 0) << ',' << (gpu ? gpu->rounds : 0) << ',' << samples - << ",pass," << exact_order << ','; - for (size_t i = 0; i < times.size(); ++i) std::cout << (i ? ";" : "") << times[i]; - std::cout << '\n' << std::flush; - } -} - -int main(int argc, char** argv) { - @autoreleasepool { - try { - if (argc < 4) throw std::runtime_error("usage: experiment cpu|gpu kernel-path smoke|full|correctness [samples]"); - std::string mode = argv[1], suite = argv[3]; - if (mode != "cpu" && mode != "gpu") throw std::runtime_error("invalid mode"); - int samples = argc > 4 ? std::stoi(argv[4]) : 7; - if (samples < 1) throw std::runtime_error("samples must be positive"); - Pool pool(10); - std::unique_ptr metal; - if (mode == "gpu") metal = std::make_unique(argv[2]); - if (suite == "witnesses") { - if (!metal) throw std::runtime_error("witnesses require gpu mode"); - witnesses(*metal); return 0; - } - std::cout << "case,n,e,queries,method,wall_ms,gpu_ms,distance_wall_ms,upload_ms,rounds,samples,correct,exact_order_queries,wall_samples_ms\n"; - auto run = [&](Case c, std::initializer_list qs) { - for (int q : qs) benchmark(c, q, mode, metal.get(), pool, samples); - }; - if (suite == "stress") { - run(make_case("grid", 1024), {64}); - run(make_case("random", 1024, 8, true, true, true), {64}); - } else if (suite == "correctness") { - for (unsigned seed = 1; seed <= 12; ++seed) { - run(make_case("random", 37 + seed * 3, 6, true, seed % 2, seed % 3 == 0, seed), {8}); - } - } else { - run(make_case("random", 128), {1, 64}); - run(make_case("random", 1024), {1, 64}); - run(make_case("fabric", 288), {1, 64}); - run(make_case("grid", 1024), {1, 64}); - run(make_case("chain", 256), {1}); - run(make_case("random", 1024, 8, true, true, true), {8}); - if (suite == "full") { - run(make_case("random", 4096), {1, 64, 256}); - run(make_case("random", 16384), {1, 64}); - run(make_case("random", 65536), {1, 64}); - run(make_case("chain", 2048), {1}); - run(make_case("random", 4096, 32), {1, 64}); - run(make_case("clos", 200), {1, 64}); - run(make_case("clos", 800), {1, 64}); - run(make_case("grid", 10000), {1, 8}); - run(make_case("grid", 40000), {1}); - } else if (suite != "smoke") throw std::runtime_error("invalid suite"); - } - } catch (const std::exception& e) { - std::cerr << "FAIL: " << e.what() << '\n'; return 1; - } - } -} diff --git a/dev/research/metal_pathfinding/optimization/README.md b/dev/research/metal_pathfinding/optimization/README.md deleted file mode 100644 index 010b28c..0000000 --- a/dev/research/metal_pathfinding/optimization/README.md +++ /dev/null @@ -1,279 +0,0 @@ -# GPU optimization follow-up - -27 September 2026, NetGraph-Core `fbab119`, Apple M4 Max, 32 GPU cores, -14 CPU cores, 36 GiB unified memory. Standalone research; no backend registration -or production algorithm changes. - -**Yes, the first investigation missed important optimizations.** Its poor batch -results were partly an implementation limitation, especially serial CPU -predecessor construction. They are not evidence of a GPU performance ceiling. -The experiments also show why changing to a frontier or bucket algorithm alone -does not guarantee improvement. Work organization, result construction and the -CPU comparison algorithm matter together. - -**The CPU algorithm comparison also changes the decision.** A follow-up CPU -Dial-style bucket implementation brings the 16k weighted batch from the native -CPU's 27.7 ms to 7.7 ms. GPU results across two passes are 3.9–7.5 ms. On the -65k single-query case the stronger CPU takes 4.4 ms and GPU takes 1.2–1.4 ms. -Improve CPU specialization first; pursue GPU acceleration selectively. - -The consolidated [CPU optimisation plan](../../../perf/spf_queue/PLAN.md) is the implementation -source of truth. After the [ordered bucket queue experiment](../../../perf/spf_queue/) it -specifies one queue substitution inside the existing search (BFS and Dial are -its special cases), verified bit-exact against the production result contract, -with a hybrid-reset workspace, a width-based dispatch rule and fallback, and -downstream acceptance requirements. That change is now implemented in -`src/shortest_paths.cpp`; the plan records its old/new/old measurements at the -Core level and through NetGraph. - -## What changed in the evidence - -Fresh processes ran sequentially: CPU A1, original GPU A1, optimized GPU B, -original GPU A2, CPU A2. Seven measured samples plus two warmups per row; -every result was checked outside the timed interval. CPU batches use ten -reusable workers. Times include host distances and positive-cost predecessor -DAG construction, but exclude graph preparation and pipeline creation. - -| Workload | Native CPU A1 / A2, ms | Original GPU A1 / A2, ms | Best tested optimized GPU, ms | Observation | -|---|---:|---:|---:|---| -| Weighted random, 1,024 nodes / 8,192 edges, one query | 0.086 / 0.097 | 0.915 / 0.972 | 0.599 | CPU still wins small individual queries | -| Weighted random, 4,096 / 32,768, 256 queries | 21.391 / 21.281 | 47.812 / 49.310 | 7.003 | Interleaved 64-bit pull makes batching promising | -| Weighted random, 16,384 / 131,072, 64 queries | 27.693 / 27.721 | 57.748 / 53.106 | 7.473 | Earlier batch pessimism is no longer supported | -| Weighted random, 65,536 / 524,288, one query | 19.316 / 19.240 | 5.184 / 5.854 | 1.373 | Guarded 32-bit pull plus GPU DAG extraction helps | -| Unit-cost fabric, 800 / 320,000, 64 queries | 17.042 / 16.525 | 69.896 / 70.228 | 8.185 | CPU BFS plus optimized DAG is already 8.296 / 7.885 ms | -| Unit-cost grid, 10,000 / 39,600, one query | 0.570 / 0.582 | 3.836 / 5.874 | 3.378 | CPU BFS plus DAG is 0.089 / 0.088 ms | -| Weighted chain, 2,048 / 2,047, one query | 0.017 / 0.017 | 4.834 / 4.908 | 4.847 | Almost no useful parallel work per frontier | - -These are **exploratory measurements, not accepted performance claims**. The -desktop was not isolated: pre-phase CPU idle readings ranged from 73.28% to -87.88%, with nonzero background GPU activity. The original GPU grid result -drifted substantially between A1 and A2. A quiet-machine repeat is still required -by this repository's performance standard. Nothing was stopped or altered in -the user's other sessions to obtain these measurements. - -The best method is selected after measurement, not by a working runtime -dispatcher. Original GPU columns select between the original pull and persistent -group methods; the original shared-memory method was not rerun. The complete -[18-case table and all 216 optimized rows](results/aba/summary.md), -[raw samples](results/aba/optimized-b.csv), and -[environment/source hashes](results/aba/environment.txt) preserve the scope. - -## Stronger CPU comparisons - -The first table compares against the current native backend. A second A/B/A -compares GPU with CPU heap and Dial-style cyclic-bucket searches using cached -eligibility and one-pass DAG assembly. Each CPU worker completes both search and -DAG for a query, retaining locality. This is a comparable experimental contract -to the GPU: exact distances and canonical-equivalent positive-cost DAG edge sets, -without CPU discovery-order parity. Both devices exclude eligibility preparation. -The weighted random graphs have integer costs 1–31; the CPU Dial prototype is -explicitly limited to maximum edge weight at most 1,024, and retains int64 sums. - -| Workload | CPU cached heap + DAG A1 / A2, ms | CPU Dial + DAG A1 / A2, ms | Best GPU first / second B, ms | -|---|---:|---:|---:| -| Random 1,024 / 8,192, one query | 0.053 / 0.059 | 0.028 / 0.030 | 0.599 / 0.634 | -| Random 4,096 / 32,768, 256 queries | 13.030 / 13.024 | 7.056 / 6.925 | 7.003 / 4.001 | -| Random 16,384 / 131,072, 64 queries | 17.500 / 17.268 | 7.696 / 7.677 | 7.473 / 3.851 | -| Random 65,536 / 524,288, one query | 11.474 / 11.530 | 4.384 / 4.372 | 1.373 / 1.244 | -| Random 4,096 / 131,072, 64 queries | 6.672 / 6.662 | 3.854 / 3.865 | 2.051 / 2.215 | -| Unit-cost fabric 800 / 320,000, 64 queries | 5.125 / 5.391 | 5.421 / 5.537 | 8.185 / 8.372 | - -The second B repeated all 216 optimized GPU rows, unchanged binary, between -CPU alternative A1/A2. [All second-pass results](results/cpu-algorithms-aba/summary.md) -and [raw GPU samples](results/cpu-algorithms-aba/b.csv) are retained. The winning -GPU method changed on the 4k/256 and 16k/64 batches: 32-bit pull plus GPU DAG -beat the first pass's winning 64-bit pull. Background CPU idle reached 59.82% -before one phase. We have not attributed this variability to a specific cause; -it prevents a precise crossover rule or a stable speedup claim. - -This strengthens the practical recommendation: CPU optimizations are worthwhile -independently of GPU support. GPU remains promising for large single-source and -some batch workloads, but comparisons only against the existing CPU heap backend -overstate the advantage over a better CPU implementation. On the dense fabric, -the fused cached CPU heap + DAG is faster than either GPU pass. On the grid, -the earlier CPU BFS result remains faster than the heap and Dial alternatives. - -## Optimizations we missed - -1. **Result construction on the CPU.** The first prototype scanned every edge - twice and built every query's DAG serially, while the CPU search comparator - already had ten workers. A cached-eligibility, one-pass incoming-CSR DAG - builder, parallel across queries, reduced the 16k/64-query persistent-group - case from approximately 53–58 ms to 13.239 ms without changing the GPU search - algorithm. This variant bundles three changes; it does not isolate the - contribution of threading from one-pass construction or cached eligibility. -2. **Batch memory layout.** Making query the contiguous dimension reduced the - same workload from 15.959 ms with the query-major 64-bit pull to 7.473 ms. - Device time fell from 10.305 to 1.950 ms. Both versions use the same CPU DAG - builder and identical relaxation counts. This improvement does not require - narrowing distances or a new graph algorithm. -3. **Device-side DAG extraction.** Counting tight incoming edges, host prefix - sums, then GPU filling helped the large single-query and higher-degree batch - cases. It is not universally better: query-major frontier plus GPU DAG took - 15.944 ms on the 800-node fabric batch, versus 9.324 ms with CPU DAG assembly. - Layout and output volume require their own decision, separate from SSSP. -4. **Exact 32-bit specialization.** Narrow distances only when - `max_edge_cost * node_count < UINT32_MAX`; otherwise run the 64-bit pull. - This conservatively proves that the sentinel cannot collide with finite - shortest distances. No floating-point conversion is used. It helped some - cases, but 64-bit pull beat 32-bit pull on the 16k batch, so narrower is not - automatically faster. Eligibility still uses CPU double-precision residuals. -5. **Command and host overhead.** Multiple dispatches share a compute encoder - with explicit buffer barriers; convergence flags are aggregated by SIMD - group. These changes were tested as a bundle. An initial screening defect - repeatedly invoked the Objective-C buffer accessor inside the conversion - loop. Hoisting it removed large batch host overhead before final timings. - The retained [screening notes](results/screen-known-limitations.txt) distinguish - those preliminary measurements from the final matrix. - -Apple's compute documentation supports batching dispatches and respecting -resource synchronization. Its Metal 4 command allocators and reusable command -infrastructure offer another way to reduce encoding overhead. Metal 4 itself -was **not implemented or timed** here. -[Metal calculations](https://developer.apple.com/documentation/metal/performing-calculations-on-a-gpu), -[Metal 4 command management](https://developer.apple.com/videos/play/wwdc2025/254/). - -## Should we change algorithms? - -**Weighted, general graphs: retain both pull and frontier candidates.** -Davidson et al. study Workfront Sweep, Near-Far and Bucketing as different -balances between redundant edge work and scheduling overhead. That is the right -comparison space for this problem; ordinary parallel Dijkstra is not an obvious -GPU default. Their NVIDIA results are not M4 speed predictions. -[2014 SSSP paper](https://escholarship.org/uc/item/8qr166v2). - -The new active-frontier implementation supports one thread or one SIMD group -per active vertex, indirect dispatch and queue deduplication. It reduced the -16k/64-query relaxation work from 201.327 million adjacency entries to about -21–22 million. Yet its best full time was 10.144 ms, versus 7.473 ms for -interleaved pull. On the 10k grid it reduced edge scans from 7.920 million to -39,600, but still took 4.040 ms versus pull's 3.378 ms. It retained 200 rounds -and 25 host waits. Less edge work is real; the latency win is not automatic. - -**Distance buckets remain worth investigating, but our simple version is not a -win.** The delta-4 experiment reduced the 16k batch to 8.451 million edge visits, -but needed 72 rounds and 16.825 ms. Delta-16 and delta-64 were also slower than -the best pull. This implementation scans all pending vertex slots to find and -select each bucket, uses a batch-wide minimum and bulk synchronization, and has -neither a light/heavy edge split nor a sophisticated asynchronous queue. -These results reject this implementation as the default, not delta-stepping. - -ADDS specifically addresses bucket management, asynchronous work scheduling -and dynamic delta selection. It is a plausible next algorithmic investigation, -but a correct Metal port needs a progress-safe queue and synchronization design; -copying CUDA persistent-worker assumptions would not establish correctness. -Its published RTX 2080 Ti speedups do not establish gains on Apple hardware. -[ADDS, PPoPP 2021](https://www.cs.utexas.edu/~lin/papers/ppopp21.pdf). - -**Uniform positive costs: test BFS on the CPU as well as the GPU.** The new CPU -BFS comparator was checked against native Dijkstra and uses the same cached -eligibility and optimized DAG construction as the GPU variants. It is a major -improvement on grids and removes most of the apparent GPU advantage on the -dense fabric. Direction-optimizing BFS can switch between sparse frontiers and -pulling from unvisited vertices. Its early exit after finding one parent applies -to distance discovery; all ECMP predecessors still require extraction. -[Direction-optimizing BFS](https://people.eecs.berkeley.edu/~krste/papers/beamer-sc2012.pdf). - -The CPU plan now preserves predecessor order by construction: the ordered -bucket queue reproduces the heap's pop order exactly, and the unit-cost case is -its `W = 2` instance. Under that full contract the sequential gain on uniform-cost -graphs is 1.1–1.3x and inconclusive on the dense fabric, where edge scanning -dominates; the larger research BFS numbers came from the relaxed contract. - -**Stable, road-like graphs with many repeated queries: consider preprocessing.** -PHAST uses contraction-hierarchy preprocessing followed by an ordered sweep. -The paper explicitly requires enough queries to amortize preprocessing and -focuses on low-highway-dimension graphs. For NetGraph, changing masks, residual -eligibility and weights mean shortcut validity or customization must be handled; -that applicability assessment is our inference, not a measured PHAST result. -It is not the first choice for arbitrary changing network simulations. -[PHAST](https://www.microsoft.com/en-us/research/wp-content/uploads/2011/01/phast_ipdps.pdf). - -**Small or destination-limited searches: keep the CPU path.** These tests are -full-source searches; they do not compare against target-early-exit Dijkstra. -Bidirectional search or A* with a proven admissible lower bound can be relevant -to point-to-point workloads, but neither was implemented or timed here. Likewise, -CPU radix queues for wider integer costs remain an unmeasured stronger comparator; -the bounded-weight Dial alternative is measured above. - -## Recommended implementation order - -Follow the [CPU plan](../../../perf/spf_queue/PLAN.md): add the differential parity test with a -forced heap route, land the ordered bucket queue and hybrid-reset workspace in -the forward search as one change gated on the existing output hashes, extend to -the reverse search, freeze the width limit, then validate downstream. Batching -and a new distance-only API are conditional on actual callers, not prerequisites -for single-query CPU gains. - -After those gates, revisit the GPU candidates against the accepted CPU baseline: -interleaved exact 64-bit pull, guarded 32-bit paths, and separately selected result -construction. Adaptive frontier/pull selection and improved bucket scheduling -remain later GPU research. The existing evidence does not establish full-backend -compatibility or justify automatic CPU/GPU dispatch. - -## Validation and remaining limits - -- Final A/B/A: 384 rows, 124,704 checked query results including warmups. -- Correctness: 12 seeded masked graphs and 12 boundary fixtures, all 14 variants, - 11,760 checked query results. Fixtures exercise forward/reverse traversal, - parallel edges, self-loops, blocked sources, unreachable nodes, residuals just - below and at `kMinCap`, distances near the 32-bit boundary, guarded fallback, - and integer costs greater than `2^53`. -- Normal stress: 39,424 checked results. ASan/UBSan plus Metal API and GPU shader - validation: another 11,760 correctness and 8,960 stress results. No reported - sanitizer or validation errors. These repetitions are not independent graphs. -- The separate CPU comparison repeats masked positive-cost checks against native - Dijkstra, and runs ASan/UBSan over both its masked fixtures and all seven - performance workloads. See the [audit](results/audit.json) for exact counts. -- Across both final timing sequences and the listed correctness/stress runs: - 290,192 checked query results, including CPU comparator rows and warmups. -- Final repository check rebuilt the Python extension and passed lint, types, - 170 C++ tests and 465 Python tests. `make sanitize-test` passed all 170 C++ - tests. An initial formatting failure in the new summarizer was corrected and - both subsequent workspace checks passed. These are local checks; CI was not - run. No production tracked files changed, and no commit or push was made. -- All distances compare exactly. Positive-cost predecessor edge sets compare - canonically to native CPU results; CPU discovery order is not reproduced. -- Graphs are synthetic and modest in size. No realistic demand traces, cold - production latency, concurrent calls, per-query mask batches, cost-factor flows, - zero-cost DAG parity or complete backend compatibility were established. -- GPU buffers and cached eligibility are prepared before timing. `upload_ms` - includes the superset of buffers needed by all experimental variants, not a - minimal production upload. Printed `setup_ms` is inherited phase-one pipeline - setup and excludes the additional optimization library; it is not total cold - initialization. GPU timestamps and distance timing are diagnostic subsets, - not substitutes for full wall time. Do not subtract separate medians to claim - an exact component cost. -- Queue atomics, bucket scans, vertex initialization and DAG extraction are not - included in the `edge_visits` counter. The counter measures SSSP adjacency work. -- The prototype requires SIMD width 32 and 256-thread groups, checked at runtime, - and imposes experimental size limits. It is not a portable library implementation. - -Reproduce from the repository root: - -```sh -bash dev/research/metal_pathfinding/optimization/build.sh -build/metal_pathfinding/optimized all correctness 3 -build/metal_pathfinding/optimized all stress 20 -bash dev/research/metal_pathfinding/optimization/run_aba.sh -python3 dev/research/metal_pathfinding/optimization/summarize.py -bash dev/research/metal_pathfinding/optimization/build.sh sanitize -MTL_DEBUG_LAYER=1 MTL_SHADER_VALIDATION=1 ASAN_OPTIONS=detect_leaks=0 \ - build/metal_pathfinding/optimized-sanitize all correctness 3 -MTL_DEBUG_LAYER=1 MTL_SHADER_VALIDATION=1 ASAN_OPTIONS=detect_leaks=0 \ - build/metal_pathfinding/optimized-sanitize all stress 3 -bash dev/research/metal_pathfinding/optimization/build_cpu.sh -build/metal_pathfinding/cpu-algorithms 3 correctness -bash dev/research/metal_pathfinding/optimization/run_cpu_aba.sh -python3 dev/research/metal_pathfinding/optimization/summarize_cpu.py -bash dev/research/metal_pathfinding/optimization/build_cpu.sh sanitize -ASAN_OPTIONS=detect_leaks=0 build/metal_pathfinding/cpu-algorithms-sanitize 3 correctness -ASAN_OPTIONS=detect_leaks=0 build/metal_pathfinding/cpu-algorithms-sanitize 2 -make sanitize-test -bash .superset/workspace.sh check -``` - -Run timings sequentially without builds or tests in parallel. The compiler emits -one known warning because the reused phase-one `main` is renamed for inclusion; -that unused helper lacks an explicit return after its success path. It is not -called by this harness. The original experiment and shader hashes are unchanged. diff --git a/dev/research/metal_pathfinding/optimization/build.sh b/dev/research/metal_pathfinding/optimization/build.sh deleted file mode 100644 index d3cd00a..0000000 --- a/dev/research/metal_pathfinding/optimization/build.sh +++ /dev/null @@ -1,12 +0,0 @@ -#!/usr/bin/env bash -set -euo pipefail -cd "$(dirname "$0")/../../.." -mkdir -p build/metal_pathfinding -flags=(-std=c++20 -O3 -flto -funroll-loops -fno-math-errno -fno-trapping-math) -if [[ ${1:-} == sanitize ]]; then - flags=(-std=c++20 -O1 -g -fsanitize=address,undefined -fno-sanitize-recover=undefined -fno-omit-frame-pointer) -fi -xcrun clang++ "${flags[@]}" -fobjc-arc -Iinclude \ - dev/research/metal_pathfinding/optimization/experiment.mm src/strict_multidigraph.cpp \ - src/shortest_paths.cpp src/profiling.cpp -framework Foundation -framework Metal \ - -o "build/metal_pathfinding/optimized${1:+-$1}" diff --git a/dev/research/metal_pathfinding/optimization/build_cpu.sh b/dev/research/metal_pathfinding/optimization/build_cpu.sh deleted file mode 100644 index e8b95a1..0000000 --- a/dev/research/metal_pathfinding/optimization/build_cpu.sh +++ /dev/null @@ -1,11 +0,0 @@ -#!/usr/bin/env bash -set -euo pipefail -cd "$(dirname "$0")/../../.." -flags=(-std=c++20 -O3 -flto -funroll-loops -fno-math-errno -fno-trapping-math) -if [[ ${1:-} == sanitize ]]; then - flags=(-std=c++20 -O1 -g -fsanitize=address,undefined -fno-sanitize-recover=undefined -fno-omit-frame-pointer) -fi -xcrun clang++ "${flags[@]}" -fobjc-arc -Iinclude \ - dev/research/metal_pathfinding/optimization/cpu_algorithms.mm src/strict_multidigraph.cpp \ - src/shortest_paths.cpp src/profiling.cpp -framework Foundation -framework Metal \ - -o "build/metal_pathfinding/cpu-algorithms${1:+-$1}" diff --git a/dev/research/metal_pathfinding/optimization/cpu_algorithms.mm b/dev/research/metal_pathfinding/optimization/cpu_algorithms.mm deleted file mode 100644 index 58dc6ae..0000000 --- a/dev/research/metal_pathfinding/optimization/cpu_algorithms.mm +++ /dev/null @@ -1,102 +0,0 @@ -// Stronger CPU algorithm comparators for the same positive-cost result contract. -#define main phase_one_main -#include "../experiment.mm" -#undef main - -struct PreparedCpu { - const Case& c; - std::vector enabled; - Cost max_weight=0; - explicit PreparedCpu(const Case& graph):c(graph),enabled(graph.graph.num_edges()) { - const auto& g=c.graph; - for(int e=0;e=kMinCap; - max_weight=std::max(max_weight,g.cost_view()[e]); - } - } - Result solve(NodeId source,bool dial) const { - const auto& g=c.graph; int n=g.num_nodes(); - auto row=g.row_offsets_view(),col=g.col_indices_view(),ids=g.adj_edge_index_view(); - auto costs=g.cost_view(); - Result result; auto& dist=result.first; auto& dag=result.second; - dist.assign(n,INF); - using Item=std::pair; - auto visit=[&](Cost d,NodeId u,auto&& push) { - if(d!=dist[u]) return; - for(int j=row[u];j1024) throw std::runtime_error("Dial comparison requires max weight <= 1024"); - size_t width=size_t(max_weight)+1,pending=1; - std::vector> buckets(width); - buckets[0].emplace_back(0,source); Cost current=0; - auto push=[&](Item x){buckets[size_t(x.first)%width].push_back(x);++pending;}; - while(pending) { - auto& bucket=buckets[size_t(current)%width]; - if(bucket.empty()) {++current;continue;} - auto [d,u]=bucket.back();bucket.pop_back();--pending; - if(d!=current) throw std::runtime_error("Dial ordering invariant failed"); - visit(d,u,push); - } - } else { - std::priority_queue,std::greater> heap; - heap.emplace(0,source); - auto push=[&](Item x){heap.push(x);}; - while(!heap.empty()) {auto [d,u]=heap.top();heap.pop();visit(d,u,push);} - } - } - auto inrow=g.in_row_offsets_view(),incol=g.in_col_indices_view(),inids=g.in_adj_edge_index_view(); - dag.parent_offsets.resize(n+1);dag.parents.reserve(n);dag.via_edges.reserve(n); - for(int v=0;v1 ? std::stoi(argv[1]) : 7; bool correctness=argc>2; - Pool pool(10); - std::cout<<"case,n,e,queries,method,wall_ms,samples,correct,wall_samples_ms\n"; - auto run=[&](Case c,int q) { - std::vector expected(q); std::vector sources(q); - for(int i=0;i times; - for(int rep=-2;rep actual(q); - auto query=[&](int i){actual[i]=prepared.solve(sources[i],dial);}; - if(q==1) query(0);else pool.run(q,query); - double elapsed=ms(start);verify(expected,actual);if(rep>=0)times.push_back(elapsed); - } - std::cout< - -struct OptimizedMetal : Metal { - std::map> pipelines; - OptimizedMetal() : Metal("dev/research/metal_pathfinding/sssp.metal") { - NSError* error = nil; - NSString* code = [NSString stringWithContentsOfFile:@"dev/research/metal_pathfinding/optimization/kernels.metal" - encoding:NSUTF8StringEncoding error:&error]; - auto lib = [device newLibraryWithSource:code options:nil error:&error]; - if (!lib) throw std::runtime_error(error.localizedDescription.UTF8String); - for (const char* name : {"pull64","pull32","prepare","expand","bucket_reset", - "bucket_min","bucket_select","dag_count64","dag_fill64", - "dag_count32","dag_fill32"}) { - auto fn = [lib newFunctionWithName:[NSString stringWithUTF8String:name]]; - auto pipeline = [device newComputePipelineStateWithFunction:fn error:&error]; - if (!pipeline) throw std::runtime_error(error.localizedDescription.UTF8String); - if (pipeline.threadExecutionWidth != 32 || pipeline.maxTotalThreadsPerThreadgroup < 256) - throw std::runtime_error("this research configuration requires SIMD32 and 256-thread groups"); - pipelines.emplace(name, pipeline); - } - } -}; - -struct Config { - std::string name, solver; - bool layout = false, narrow = false, gpu_dag = false; - int lanes = 1, delta = 0; -}; - -struct OptimizedGraph { - const Case& c; - OptimizedMetal& m; - Pool& pool; - GpuGraph old; - std::vector sources; - std::vector in_costs; - std::vector in_enabled; - id a64,b64,a32,b32,weights32; - id outrow,outcol,outcost,outenabled,queueA,queueB,counts,marks,args,work,minimum; - id inrow,incol,incost,inids,inenabled,offsets,parents,via; - size_t n, q, e; - bool fits32; - double upload_ms=0, distance_ms=0, gpu_ms=0; - uint64_t edge_visits=0; - int rounds=0, waits=0; - bool fallback=false; - struct P { uint32_t n,q,round,layout,current,epoch,lanes,delta; }; - - OptimizedGraph(const Case& testcase, OptimizedMetal& metal, Pool& workers, - std::vector query_sources) - : c(testcase),m(metal),pool(workers),old(c,m,query_sources),sources(std::move(query_sources)), - n(c.graph.num_nodes()),q(sources.size()),e(c.graph.num_edges()) { - auto begin=Clock::now(); - if (!n || n*q>UINT32_MAX/32 || e*q>UINT32_MAX/8) throw std::runtime_error("experiment size limit"); - auto& g=c.graph; - Cost largest=0; - for (Cost cost:g.cost_view()) largest=std::max(largest,cost); - // Strictly less than the sentinel; the multiplication is bounded in uint64. - fits32=largest < Cost(UINT32_MAX) && uint64_t(largest)*n < UINT32_MAX; - a64=m.buffer(nullptr,n*q*8); b64=m.buffer(nullptr,n*q*8); - a32=m.buffer(nullptr,n*q*4); b32=m.buffer(nullptr,n*q*4); - std::vector ws(e); - auto pull_ids=c.reverse ? g.adj_edge_index_view() : g.in_adj_edge_index_view(); - for(size_t j=0;j oe(e); - for(size_t j=0;j=kMinCap; - } - outrow=m.buffer(orow.data(),orow.size_bytes()); outcol=m.buffer(ocol.data(),ocol.size_bytes()); - outcost=m.buffer(ws.data(),e*4); outenabled=m.buffer(oe.data(),e); - queueA=m.buffer(nullptr,n*q*4); queueB=m.buffer(nullptr,n*q*4); - counts=m.buffer(nullptr,8); marks=m.buffer(nullptr,n*q*4); - args=m.buffer(nullptr,12); work=m.buffer(nullptr,32); minimum=m.buffer(nullptr,4); - in_costs.resize(e); in_enabled.resize(e); - auto ids=g.in_adj_edge_index_view(); - for(size_t j=0;j=kMinCap; - } - inrow=m.buffer(g.in_row_offsets_view().data(),g.in_row_offsets_view().size_bytes()); - incol=m.buffer(g.in_col_indices_view().data(),g.in_col_indices_view().size_bytes()); - inids=m.buffer(ids.data(),ids.size_bytes()); incost=m.buffer(in_costs.data(),e*8); - inenabled=m.buffer(in_enabled.data(),e); offsets=m.buffer(nullptr,(n+1)*q*4); - // Reserve output capacity once; only actual DAG entries are copied to host. - parents=m.buffer(nullptr,e*q*4); via=m.buffer(nullptr,e*q*4); - upload_ms=old.upload_ms+ms(begin); - } - - void wait(id cb) { - [cb commit]; [cb waitUntilCompleted]; ++waits; - if(cb.status==MTLCommandBufferStatusError) throw std::runtime_error(cb.error.localizedDescription.UTF8String); - gpu_ms+=(cb.GPUEndTime-cb.GPUStartTime)*1000; - } - void pipeline(id enc,const char* name) { - [enc setComputePipelineState:m.pipelines.at(name)]; - } - void dispatch(id enc,size_t size) { - [enc dispatchThreads:MTLSizeMake(size,1,1) threadsPerThreadgroup:MTLSizeMake(256,1,1)]; - [enc memoryBarrierWithScope:MTLBarrierScopeBuffers]; - } - void one(id enc) { - [enc dispatchThreadgroups:MTLSizeMake(1,1,1) threadsPerThreadgroup:MTLSizeMake(1,1,1)]; - [enc memoryBarrierWithScope:MTLBarrierScopeBuffers]; - } - - void cpu_dags(std::vector& results) { - auto row=c.graph.in_row_offsets_view(); auto col=c.graph.in_col_indices_view(); - auto ids=c.graph.in_adj_edge_index_view(); - auto build=[&](int query) { - auto& d=results[query].first; auto& dag=results[query].second; - dag.parent_offsets.resize(n+1); - // Append in incoming-CSR order in one scan. Eligibility was cached at upload. - dag.parents.reserve(n); dag.via_edges.reserve(n); - for(size_t v=0;v pull(Config cfg) { - id before=cfg.narrow ? a32 : a64, after=cfg.narrow ? b32 : b64; - if(cfg.narrow) std::fill_n(static_cast(before.contents),n*q,UINT32_MAX); - else std::fill_n(static_cast(before.contents),n*q,INF); - for(size_t i=0;i(before.contents)[index]=0; - else static_cast(before.contents)[index]=0; - } - P p{uint32_t(n),uint32_t(q),0,uint32_t(cfg.layout),0,0,1,0}; - while(rounds(old.changed.contents)[steps-1]==0) break; - } - return before; - } - - id frontier(Config cfg) { - std::fill_n(static_cast(a32.contents),n*q,UINT32_MAX); - std::memset(marks.contents,0,n*q*4); std::memset(counts.contents,0,8); - uint32_t active=0; - for(size_t query=0;query(a32.contents)[index]=0; - static_cast(queueA.contents)[active++]=index; - if(cfg.delta) static_cast(marks.contents)[index]=1; - } - static_cast(counts.contents)[0]=active; - uint32_t current=0; - id input=queueA, output=queueB; - P p{uint32_t(n),uint32_t(q),0,0,0,1,uint32_t(cfg.lanes),uint32_t(cfg.delta)}; - // Fail rather than returning unconverged data if an implementation bug or - // pathological scheduler exceeds this research harness's operational limit. - while(rounds<1000000) { - std::memset(work.contents,0,32); - auto cb=[m.queue commandBuffer]; auto enc=[cb computeCommandEncoder]; - for(int j=0;j<8;++j) { - p.round=j; p.current=cfg.delta ? 0 : current; p.epoch=uint32_t(rounds+j+1); - [enc setBytes:&p length:sizeof(p) atIndex:7]; - if(cfg.delta) { - input=queueA; output=queueB; - pipeline(enc,"bucket_reset"); - [enc setBuffer:counts offset:0 atIndex:0]; [enc setBuffer:minimum offset:0 atIndex:1]; one(enc); - pipeline(enc,"bucket_min"); - [enc setBuffer:a32 offset:0 atIndex:0]; [enc setBuffer:marks offset:0 atIndex:1]; - [enc setBuffer:minimum offset:0 atIndex:2]; dispatch(enc,n*q); - pipeline(enc,"bucket_select"); - [enc setBuffer:a32 offset:0 atIndex:0]; [enc setBuffer:marks offset:0 atIndex:1]; - [enc setBuffer:minimum offset:0 atIndex:2]; [enc setBuffer:input offset:0 atIndex:3]; - [enc setBuffer:counts offset:0 atIndex:4]; dispatch(enc,n*q); - } - pipeline(enc,"prepare"); - [enc setBuffer:counts offset:0 atIndex:0]; [enc setBuffer:args offset:0 atIndex:1]; one(enc); - pipeline(enc,"expand"); - [enc setBuffer:outrow offset:0 atIndex:0]; [enc setBuffer:outcol offset:0 atIndex:1]; - [enc setBuffer:outcost offset:0 atIndex:2]; [enc setBuffer:outenabled offset:0 atIndex:3]; - [enc setBuffer:a32 offset:0 atIndex:4]; [enc setBuffer:input offset:0 atIndex:5]; - [enc setBuffer:output offset:0 atIndex:6]; [enc setBuffer:counts offset:0 atIndex:8]; - [enc setBuffer:marks offset:0 atIndex:9]; [enc setBuffer:work offset:0 atIndex:10]; - [enc dispatchThreadgroupsWithIndirectBuffer:args indirectBufferOffset:0 threadsPerThreadgroup:MTLSizeMake(256,1,1)]; - [enc memoryBarrierWithScope:MTLBarrierScopeBuffers]; - if(!cfg.delta) { std::swap(input,output); current=1-current; } - } - [enc endEncoding]; wait(cb); rounds+=8; - for(int j=0;j<8;++j) edge_visits+=static_cast(work.contents)[j]; - if(static_cast(counts.contents)[cfg.delta ? 0 : current]==0) return a32; - } - throw std::runtime_error("frontier failed to converge"); - } - - void gpu_dags(std::vector& results,id distances,bool narrow,bool layout) { - struct DP { uint32_t n,q,e,layout,reverse,a,b,c; } p{uint32_t(n),uint32_t(q),uint32_t(e),uint32_t(layout),uint32_t(c.reverse),0,0,0}; - auto encode=[&](bool fill) { - auto cb=[m.queue commandBuffer]; auto enc=[cb computeCommandEncoder]; - pipeline(enc,fill ? (narrow ? "dag_fill32" : "dag_fill64") : (narrow ? "dag_count32" : "dag_count64")); - [enc setBuffer:inrow offset:0 atIndex:0]; [enc setBuffer:incol offset:0 atIndex:1]; - [enc setBuffer:incost offset:0 atIndex:2]; [enc setBuffer:inids offset:0 atIndex:3]; - [enc setBuffer:inenabled offset:0 atIndex:4]; [enc setBuffer:distances offset:0 atIndex:5]; - [enc setBuffer:offsets offset:0 atIndex:6]; [enc setBytes:&p length:sizeof(p) atIndex:7]; - [enc setBuffer:parents offset:0 atIndex:8]; [enc setBuffer:via offset:0 atIndex:9]; - dispatch(enc,n*q); [enc endEncoding]; wait(cb); - }; - encode(false); - pool.run(int(q),[&](int query) { - auto ptr=static_cast(offsets.contents)+query*(n+1); - ptr[0]=0; std::partial_sum(ptr,ptr+n+1,ptr); - results[query].second.parent_offsets.assign(ptr,ptr+n+1); - }); - encode(true); - pool.run(int(q),[&](int query) { - auto& dag=results[query].second; int size=dag.parent_offsets.back(); - auto ps=static_cast(parents.contents)+query*e; - auto es=static_cast(via.contents)+query*e; - dag.parents.assign(ps,ps+size); dag.via_edges.assign(es,es+size); - }); - } - - std::vector run(Config cfg) { - auto begin=Clock::now(); gpu_ms=0; waits=0; rounds=0; edge_visits=0; fallback=false; - if(cfg.solver=="old_pull" || cfg.solver=="old_group") { - auto results=old.run(cfg.solver=="old_group",cfg.name.ends_with("serial")); - gpu_ms=old.gpu_ms; distance_ms=old.distance_ms; rounds=old.rounds; - waits=cfg.solver=="old_pull" ? (rounds+7)/8 : 1; - // For persistent groups, per-query round counts can differ. - if(cfg.solver=="old_pull") edge_visits=uint64_t(rounds)*e*q; - else for(size_t i=0;i(old.changed.contents)[i])*e; - if(!cfg.name.ends_with("serial")) cpu_dags(results); - return results; - } - if(cfg.narrow && !fits32) { cfg.narrow=false; cfg.solver="pull"; fallback=true; } - if(cfg.solver!="pull") cfg.layout=false; - auto data=cfg.solver=="pull" ? pull(cfg) : frontier(cfg); - std::vector results(q); - // Hoist Objective-C accessors out of the per-distance conversion loop. - // Calling .contents for every element dominated large-batch host time. - auto data32=static_cast(data.contents); - auto data64=static_cast(data.contents); - auto copy=[&](int query) { - auto& dist=results[query].first; dist.resize(n); - if(!cfg.layout && !cfg.narrow) { - auto ptr=data64+query*n; - std::copy_n(ptr,n,dist.begin()); - } else for(size_t v=0;v configurations() { - return { - {"old_pull_serial","old_pull"}, {"old_group_serial","old_group"}, - {"old_pull_parallel_dag","old_pull"}, {"old_group_parallel_dag","old_group"}, - {"pull64_barrier","pull"}, {"pull64_interleaved","pull",true}, - {"pull32_interleaved","pull",true,true}, - {"pull32_gpu_dag","pull",true,true,true}, - {"frontier32_vertex","frontier",false,true,false,1}, - {"frontier32_simd","frontier",false,true,false,32}, - {"frontier32_gpu_dag","frontier",false,true,true,32}, - {"bucket32_d4","frontier",false,true,false,32,4}, - {"bucket32_d16","frontier",false,true,false,32,16}, - {"bucket32_d64","frontier",false,true,false,32,64} - }; -} - -Case hub_case(int n) { - std::vector a,b; std::vector w; std::vector cap; - auto add=[&](int u,int v,int cost) {a.push_back(u);b.push_back(v);w.push_back(cost);cap.push_back(1);}; - for(int i=0;i(w.size()); std::fill_n(c.edge_mask.get(),w.size(),true); - c.residual.assign(w.size(),1); return c; -} - -// A stronger comparator for the uniform positive-weight grid/fabric workloads. -// This uses the same cached eligibility and one-pass parallel DAG builder as -// the optimized GPU variants. All output is checked against native Dijkstra. -std::vector cpu_bfs(const Case& c, const OptimizedGraph& gpu, NodeId source) { - int n=c.graph.num_nodes(); - auto row=c.reverse ? c.graph.in_row_offsets_view() : c.graph.row_offsets_view(); - auto col=c.reverse ? c.graph.in_col_indices_view() : c.graph.col_indices_view(); - auto enabled=static_cast(gpu.outenabled.contents); - Cost weight=c.graph.cost_view()[0]; - std::vector dist(n,INF); - if(!c.node_mask[source]) return dist; - std::vector queue(n); size_t head=0,tail=0; - dist[source]=0; queue[tail++]=source; - while(head a{0,0,1,1,2,3,4,0,1,2},b{1,1,2,2,3,4,5,5,1,5}; - std::vector w(a.size(),weight); - std::vector cap(a.size(),1); - auto c=make_case("random",n); - c.name="boundary_"+std::to_string(weight)+(reverse ? "_reverse" : "")+(blocked ? "_masked" : ""); - c.graph=StrictMultiDiGraph::from_arrays(n,a,b,cap,w); - c.edge_mask=std::make_unique(w.size()); std::fill_n(c.edge_mask.get(),w.size(),true); - c.residual.assign(w.size(),1); c.reverse=reverse; - // Competing direct/parallel edges, a self-loop, threshold-adjacent residuals, - // and blocked sources/unreachable nodes. Eligibility is evaluated in double. - c.residual[1]=std::nextafter(kMinCap,0.0); c.residual[3]=kMinCap; - c.edge_mask[7]=false; c.edge_mask[9]=false; - if(blocked) c.node_mask[2]=false; - return c; -} - -void run_case(Case c,int queries,std::string mode,int samples,OptimizedMetal& metal,Pool& pool) { - std::vector sources(queries); - std::vector expected(queries); - for(int i=0;i0 && std::all_of(costs.begin(),costs.end(),[&](Cost w){return w==costs[0];})) { - configs.push_back({"cpu_bfs_full","cpu"}); configs.push_back({"cpu_bfs_distance","cpu"}); - } - } - else if(mode=="optimized") configs.erase(configs.begin(),configs.begin()+2); - else if(mode!="all") throw std::runtime_error("bad mode"); - for(auto cfg:configs) { - std::vector times,dt,gt,work,rounds,waits; - int fallback=0; - for(int rep=-2;rep result; - if(mode=="cpu") { - result.resize(queries); - auto query=[&](int i) { - if(cfg.name.starts_with("cpu_bfs")) result[i].first=cpu_bfs(c,gpu,sources[i]); - else if(cfg.name=="cpu_full") result[i]=cpu(c,sources[i]); - else result[i].first=cpu_distance(c,sources[i]); - }; - if(queries==1) query(0); else pool.run(queries,query); - if(cfg.name=="cpu_bfs_full") gpu.cpu_dags(result); - } else result=gpu.run(cfg); - double elapsed=ms(begin); - if(cfg.name.ends_with("distance")) { - for(int i=0;i=0) { - times.push_back(elapsed); dt.push_back(mode=="cpu" ? elapsed : gpu.distance_ms); - gt.push_back(mode=="cpu" ? 0 : gpu.gpu_ms); work.push_back(mode=="cpu" ? 0 : double(gpu.edge_visits)); - rounds.push_back(mode=="cpu" ? 0 : gpu.rounds); waits.push_back(mode=="cpu" ? 0 : gpu.waits); - fallback=mode=="cpu" ? 0 : gpu.fallback; - } - } - std::cout<3 ? std::stoi(argv[3]) : 7; - if(samples<1) throw std::runtime_error("invalid samples"); - OptimizedMetal metal; Pool pool(10); - std::cout<<"case,n,e,queries,method,wall_ms,distance_ms,gpu_ms,edge_visits,rounds,waits,fallback64,upload_ms,samples,correct,wall_samples_ms\n"; - auto run=[&](Case c,int q) { run_case(std::move(c),q,mode,samples,metal,pool); }; - if(suite=="correctness") { - for(unsigned seed=1;seed<=12;++seed) run(make_case("random",37+seed*3,6,true,seed%2,seed%3==0,seed),8); - for(Cost weight:{Cost(700000000),Cost(715827883),(Cost(1)<<53)+1}) - for(bool reverse:{false,true}) for(bool blocked:{false,true}) run(boundary_case(weight,reverse,blocked),6); - } else if(suite=="stress") { - run(make_case("grid",1024),64); run(make_case("random",1024,8,true,false,true),64); - } else { - run(make_case("random",1024),1); run(make_case("random",1024),64); - run(make_case("clos",200),64); run(make_case("grid",1024),1); - run(hub_case(1024),1); run(make_case("random",1024,8,true,true,true),8); - if(suite=="full") { - run(make_case("random",4096),256); - run(make_case("random",16384),1); run(make_case("random",16384),64); - run(make_case("random",65536),1); - run(make_case("clos",800),1); run(make_case("clos",800),64); - run(make_case("grid",10000),1); run(make_case("grid",10000),8); - run(make_case("chain",2048),1); run(hub_case(4096),64); - run(make_case("random",4096,32),1); run(make_case("random",4096,32),64); - } else if(suite!="smoke") throw std::runtime_error("bad suite"); - } - } catch(const std::exception& e) {std::cerr<<"FAIL: "< -using namespace metal; - -struct P { - uint n, q, round, layout; - uint current, epoch, lanes, delta; -}; -constant long INF64 = 0x7fffffffffffffffL; -constant uint INF32 = 0xffffffffu; - -// Same relaxation as phase one, with optional query-fast layout and 32-bit -// distances only after the host proves the entire finite-distance domain fits. -template -void pull(device const int* row, device const int* col, - device const T* weight, device const uchar* enabled, - device const T* a, device T* b, device atomic_uint* changed, - constant P& p, uint tid, uint lane, T inf) { - uint total = p.n * p.q; - bool dirty = false; - if (tid < total) { - uint v = p.layout ? tid / p.q : tid % p.n; - uint query = p.layout ? tid % p.q : tid / p.n; - T best = a[tid]; - for (int j = row[v]; j < row[v + 1]; ++j) { - uint index = p.layout ? uint(col[j]) * p.q + query : query * p.n + uint(col[j]); - T d = a[index], w = weight[j]; - if (enabled[j] && d != inf && d <= inf - w) best = min(best, T(d + w)); - } - b[tid] = best; - dirty = best != a[tid]; - } - // One flag operation per SIMD group, instead of per changed vertex. - if (simd_any(dirty) && lane == 0) - atomic_store_explicit(changed + p.round, 1u, memory_order_relaxed); -} - -#define PULL_ARGS(T) device const int* row [[buffer(0)]], device const int* col [[buffer(1)]], \ - device const T* weight [[buffer(2)]], device const uchar* enabled [[buffer(3)]], \ - device const T* a [[buffer(4)]], device T* b [[buffer(5)]], \ - device atomic_uint* changed [[buffer(6)]], constant P& p [[buffer(7)]], \ - uint tid [[thread_position_in_grid]], uint lane [[thread_index_in_simdgroup]] -kernel void pull64(PULL_ARGS(long)) { pull(row,col,weight,enabled,a,b,changed,p,tid,lane,INF64); } -kernel void pull32(PULL_ARGS(uint)) { pull(row,col,weight,enabled,a,b,changed,p,tid,lane,INF32); } - -// Frontier queues contain flattened (query * N + node) IDs. Only 32-bit integer -// atomics are required. All queue consumers run after producer dispatch barriers. -kernel void prepare(device atomic_uint* counts [[buffer(0)]], - device uint* indirect [[buffer(1)]], - constant P& p [[buffer(7)]]) { - uint count = atomic_load_explicit(counts + p.current, memory_order_relaxed); - atomic_store_explicit(counts + (1 - p.current), 0u, memory_order_relaxed); - indirect[0] = max(1u, (count * p.lanes + 255) / 256); - indirect[1] = 1; indirect[2] = 1; -} - -kernel void expand(device const int* row [[buffer(0)]], - device const int* col [[buffer(1)]], - device const uint* weight [[buffer(2)]], - device const uchar* enabled [[buffer(3)]], - device atomic_uint* dist [[buffer(4)]], - device const uint* in_queue [[buffer(5)]], - device uint* out_queue [[buffer(6)]], - constant P& p [[buffer(7)]], - device atomic_uint* counts [[buffer(8)]], - device atomic_uint* marks [[buffer(9)]], - device atomic_uint* work [[buffer(10)]], - uint tid [[thread_position_in_grid]]) { - uint slot = tid / p.lanes, lane = tid % p.lanes; - uint count = atomic_load_explicit(counts + p.current, memory_order_relaxed); - if (slot >= count) return; - uint index = in_queue[slot], u = index % p.n, base = index - u; - uint d = atomic_load_explicit(dist + index, memory_order_relaxed); - if (lane == 0) atomic_fetch_add_explicit(work + p.round, uint(row[u+1]-row[u]), memory_order_relaxed); - for (uint j = uint(row[u]) + lane; j < uint(row[u+1]); j += p.lanes) { - uint w = weight[j]; - if (!enabled[j] || d == INF32 || d > INF32 - w) continue; - uint target = base + uint(col[j]); - uint candidate = d + w; - uint old = atomic_fetch_min_explicit(dist + target, candidate, memory_order_relaxed); - if (candidate < old) { - if (p.delta) { - // Bucket mode: mark pending. Selection and clearing happen in a later - // dispatch, so a late improvement cannot be lost behind an early reset. - atomic_store_explicit(marks + target, 1u, memory_order_relaxed); - } else if (atomic_exchange_explicit(marks + target, p.epoch, memory_order_relaxed) != p.epoch) { - uint pos = atomic_fetch_add_explicit(counts + (1-p.current), 1u, memory_order_relaxed); - out_queue[pos] = target; // Epoch deduplication bounds this queue by N*Q. - } - } - } -} - -// A simple bucketed label-correcting scheduler. This deliberately does not claim -// the optimized light/heavy split or asynchronous scheduler of published ADDS. -kernel void bucket_reset(device atomic_uint* counts [[buffer(0)]], - device atomic_uint* min_distance [[buffer(1)]]) { - atomic_store_explicit(counts, 0u, memory_order_relaxed); - atomic_store_explicit(min_distance, INF32, memory_order_relaxed); -} -kernel void bucket_min(device const atomic_uint* dist [[buffer(0)]], - device const atomic_uint* pending [[buffer(1)]], - device atomic_uint* minimum [[buffer(2)]], - constant P& p [[buffer(7)]], uint tid [[thread_position_in_grid]]) { - if (tid >= p.n*p.q) return; - if (atomic_load_explicit(pending+tid, memory_order_relaxed)) - atomic_fetch_min_explicit(minimum, atomic_load_explicit(dist+tid, memory_order_relaxed), memory_order_relaxed); -} -kernel void bucket_select(device const atomic_uint* dist [[buffer(0)]], - device atomic_uint* pending [[buffer(1)]], - device const atomic_uint* minimum [[buffer(2)]], - device uint* queue [[buffer(3)]], - device atomic_uint* counts [[buffer(4)]], - constant P& p [[buffer(7)]], uint tid [[thread_position_in_grid]]) { - if (tid >= p.n*p.q) return; - uint lowest = atomic_load_explicit(minimum, memory_order_relaxed); - if (lowest == INF32) return; - ulong upper = (ulong(lowest) / p.delta + 1) * p.delta; - if (atomic_load_explicit(pending+tid, memory_order_relaxed) && - ulong(atomic_load_explicit(dist+tid, memory_order_relaxed)) < upper) { - atomic_store_explicit(pending+tid, 0u, memory_order_relaxed); - uint pos = atomic_fetch_add_explicit(counts, 1u, memory_order_relaxed); - queue[pos] = tid; - } -} - -// Counts and fills are deterministic within each node's incoming CSR row. -// The host prefix-sums N+1 counts per query; it never scans edges for GPU DAGs. -struct DP { uint n, q, edges, layout, reverse, unused0, unused1, unused2; }; -template -void dag(device const int* row, device const int* col, device const long* costs, - device const int* ids, device const uchar* enabled, device const T* distances, - device int* offsets, device int* parents, device int* via, - constant DP& p, uint tid, T inf) { - if (tid >= p.n*p.q) return; - // Match distance layout. Query-major frontiers must not be read with a - // query-fast thread layout (which also scatters the output writes). - uint v = p.layout ? tid / p.q : tid % p.n; - uint query = p.layout ? tid % p.q : tid / p.n; - uint index = p.layout ? v*p.q+query : query*p.n+v; - T dv = distances[index]; - uint count = 0; - for (int j=row[v]; j(row,col,costs,ids,enabled,distances,offsets,parents,via,p,tid,INF64);} -kernel void dag_fill64(DAG_ARGS(long)) {dag(row,col,costs,ids,enabled,distances,offsets,parents,via,p,tid,INF64);} -kernel void dag_count32(DAG_ARGS(uint)) {dag(row,col,costs,ids,enabled,distances,offsets,parents,via,p,tid,INF32);} -kernel void dag_fill32(DAG_ARGS(uint)) {dag(row,col,costs,ids,enabled,distances,offsets,parents,via,p,tid,INF32);} diff --git a/dev/research/metal_pathfinding/optimization/results/aba/base-a1-stderr.txt b/dev/research/metal_pathfinding/optimization/results/aba/base-a1-stderr.txt deleted file mode 100644 index 7bb0bd9..0000000 --- a/dev/research/metal_pathfinding/optimization/results/aba/base-a1-stderr.txt +++ /dev/null @@ -1 +0,0 @@ -device=Apple M4 Max setup_ms=22.61 execution_width=32 diff --git a/dev/research/metal_pathfinding/optimization/results/aba/base-a1.csv b/dev/research/metal_pathfinding/optimization/results/aba/base-a1.csv deleted file mode 100644 index e5ad76f..0000000 --- a/dev/research/metal_pathfinding/optimization/results/aba/base-a1.csv +++ /dev/null @@ -1,37 +0,0 @@ -case,n,e,queries,method,wall_ms,distance_ms,gpu_ms,edge_visits,rounds,waits,fallback64,upload_ms,samples,correct,wall_samples_ms -random,1024,8192,1,old_pull_serial,1.218542,1.184500,0.434750,131072,16,2,0,0.163666,7,pass,1.000000;1.328541;1.493417;0.990875;1.405333;1.218542;0.689625 -random,1024,8192,1,old_group_serial,0.914792,0.838625,0.680833,106496,13,1,0,0.163666,7,pass,1.091958;1.201000;0.947125;0.901458;0.828708;0.911875;0.914792 -random,1024,8192,64,old_pull_serial,4.582958,2.376417,1.597625,12582912,24,3,0,0.191292,7,pass,4.323625;4.577125;4.633041;4.582291;4.727458;4.582958;4.598000 -random,1024,8192,64,old_group_serial,3.817917,1.374833,0.888208,7217152,17,1,0,0.191292,7,pass,3.695125;3.650917;3.798041;3.875042;3.905208;3.916333;3.817917 -clos,200,20000,64,old_pull_serial,5.426542,1.323042,1.016625,10240000,8,1,0,0.336458,7,pass,5.426542;6.071792;5.522958;5.353000;5.670708;5.278334;5.226583 -clos,200,20000,64,old_group_serial,4.768459,0.824667,0.297875,3840000,3,1,0,0.336458,7,pass,4.593416;4.673916;4.953792;4.768459;4.814791;4.615209;4.778209 -grid,1024,3968,1,old_pull_serial,2.331167,2.316292,0.674458,253952,64,8,0,0.136791,7,pass,2.582333;2.420166;3.165750;1.632958;2.331167;1.751666;2.164334 -grid,1024,3968,1,old_group_serial,1.177083,1.162041,1.011542,249984,63,1,0,0.136791,7,pass,1.177083;1.213291;1.289917;1.256459;0.749750;0.362417;0.363500 -hub,1024,3070,1,old_pull_serial,6.268542,6.232250,5.561125,98240,32,4,0,0.106126,7,pass,6.262917;6.289917;6.268542;6.305542;6.316250;6.211292;6.225167 -hub,1024,3070,1,old_group_serial,4.908083,4.871666,4.720917,95170,31,1,0,0.106126,7,pass,4.920042;4.880292;4.908083;4.920708;4.874500;4.864417;4.935875 -random_masked_int64_reverse,1024,8192,8,old_pull_serial,0.517667,0.177166,0.034542,524288,8,1,0,0.204624,7,pass,0.581375;0.517667;0.506875;0.530667;0.517625;0.515750;0.530000 -random_masked_int64_reverse,1024,8192,8,old_group_serial,0.540875,0.194500,0.053500,368640,8,1,0,0.204624,7,pass,0.528417;0.557417;0.540875;0.509500;0.529500;0.548333;0.542875 -random,4096,32768,256,old_pull_serial,49.824334,11.526875,10.145042,201326592,24,3,0,0.545166,7,pass,49.824334;48.800334;48.571958;50.309667;60.286459;59.534375;48.844875 -random,4096,32768,256,old_group_serial,47.811583,10.256667,9.388917,136544256,20,1,0,0.545166,7,pass,55.883000;48.061916;47.811583;46.029625;52.619583;44.779875;46.107125 -random,16384,131072,1,old_pull_serial,2.098167,1.418667,0.204500,3145728,24,3,0,1.713958,7,pass,2.129833;2.098167;1.690500;1.244875;1.214875;2.128125;2.209500 -random,16384,131072,1,old_group_serial,5.719417,5.032459,4.894625,2359296,18,1,0,1.713958,7,pass,6.076542;6.048834;5.709042;5.723250;5.613625;5.697458;5.719417 -random,16384,131072,64,old_pull_serial,58.904791,13.714458,11.617375,201326592,24,3,0,1.789209,7,pass,58.790875;58.904791;58.887125;59.272084;60.799708;57.959042;60.167875 -random,16384,131072,64,old_group_serial,57.747584,12.236500,11.485375,158203904,22,1,0,1.789209,7,pass,58.655667;57.747584;59.414083;57.772666;56.986792;54.688833;54.776958 -random,65536,524288,1,old_pull_serial,5.184250,2.258042,1.213708,12582912,24,3,0,7.745292,7,pass,4.513042;5.060667;5.293625;4.965250;5.271292;5.197875;5.184250 -random,65536,524288,1,old_group_serial,31.832791,28.881959,28.222000,11534336,22,1,0,7.745292,7,pass,31.485125;32.601083;31.832791;32.451750;31.760709;31.991375;31.556166 -clos,800,320000,1,old_pull_serial,1.914708,0.940584,0.731375,2560000,8,1,0,3.524250,7,pass,2.299041;1.914708;2.434625;1.906125;1.881542;1.843375;2.396875 -clos,800,320000,1,old_group_serial,2.133459,1.204000,0.911125,960000,3,1,0,3.524250,7,pass,2.036042;2.133459;2.484125;2.030542;2.462916;2.034041;2.559167 -clos,800,320000,64,old_pull_serial,80.507125,16.727542,16.177125,163840000,8,1,0,3.424624,7,pass,82.494541;80.253417;77.992667;81.233334;80.507125;79.556875;82.401250 -clos,800,320000,64,old_group_serial,69.896166,5.788917,5.249208,61440000,3,1,0,3.424624,7,pass,69.789625;70.156958;69.876959;69.579166;71.083958;70.201209;69.896166 -grid,10000,39600,1,old_pull_serial,3.836417,3.719583,0.559000,7920000,200,25,0,0.502708,7,pass,5.548333;3.887375;3.836417;3.699709;3.756375;4.001833;3.686625 -grid,10000,39600,1,old_group_serial,7.867833,7.721208,7.582500,7880400,199,1,0,0.502708,7,pass,7.953000;7.827709;7.980666;7.854667;7.867833;7.806167;7.943125 -grid,10000,39600,8,old_pull_serial,5.952708,4.955667,1.338125,63360000,200,25,0,0.507209,7,pass,5.595708;5.952708;6.127416;6.336792;6.075833;5.918666;5.732208 -grid,10000,39600,8,old_group_serial,9.001917,8.070500,7.435958,51480000,199,1,0,0.507209,7,pass,8.705167;8.996542;9.001917;9.232250;9.057666;8.974042;9.170042 -chain,2048,2047,1,old_pull_serial,30.622833,30.613000,4.401709,4192256,2048,256,0,0.106750,7,pass,30.267459;30.836959;30.523334;31.464417;30.622833;29.359666;30.867458 -chain,2048,2047,1,old_group_serial,4.834291,4.825792,4.700625,4192256,2048,1,0,0.106750,7,pass,4.829625;4.934042;4.834042;4.889959;4.834291;4.936625;4.812917 -hub,4096,12286,64,old_pull_serial,35.138250,32.326583,30.902083,31452160,40,5,0,0.252917,7,pass,35.515125;35.051541;35.533042;35.235333;35.138250;35.127750;34.555833 -hub,4096,12286,64,old_group_serial,28.558708,25.740416,24.993833,27176632,38,1,0,0.252917,7,pass,27.957792;28.558708;28.586458;28.663542;28.538000;28.549500;28.668834 -random,4096,131072,1,old_pull_serial,0.906250,0.525417,0.266958,2097152,16,2,0,1.621291,7,pass,0.935750;0.866084;0.857208;0.905250;0.920208;0.915709;0.906250 -random,4096,131072,1,old_group_serial,2.808042,2.361958,2.183542,1572864,12,1,0,1.621291,7,pass,2.680625;2.884875;2.723166;2.877167;2.812500;2.808042;2.712208 -random,4096,131072,64,old_pull_serial,34.709250,7.647459,6.259584,134217728,16,2,0,1.701542,7,pass,34.723375;34.123167;34.742875;34.709250;34.173084;34.822959;34.691500 -random,4096,131072,64,old_group_serial,31.930417,5.221542,4.481375,105644032,15,1,0,1.701542,7,pass,30.898458;31.379041;31.775500;31.930417;34.155750;35.345083;39.651000 diff --git a/dev/research/metal_pathfinding/optimization/results/aba/base-a2-stderr.txt b/dev/research/metal_pathfinding/optimization/results/aba/base-a2-stderr.txt deleted file mode 100644 index cb44dce..0000000 --- a/dev/research/metal_pathfinding/optimization/results/aba/base-a2-stderr.txt +++ /dev/null @@ -1 +0,0 @@ -device=Apple M4 Max setup_ms=23.7174 execution_width=32 diff --git a/dev/research/metal_pathfinding/optimization/results/aba/base-a2.csv b/dev/research/metal_pathfinding/optimization/results/aba/base-a2.csv deleted file mode 100644 index fd30af0..0000000 --- a/dev/research/metal_pathfinding/optimization/results/aba/base-a2.csv +++ /dev/null @@ -1,37 +0,0 @@ -case,n,e,queries,method,wall_ms,distance_ms,gpu_ms,edge_visits,rounds,waits,fallback64,upload_ms,samples,correct,wall_samples_ms -random,1024,8192,1,old_pull_serial,0.994334,0.952458,0.399000,131072,16,2,0,0.171417,7,pass,1.577916;0.994334;0.656417;0.664875;0.658917;1.304083;1.546834 -random,1024,8192,1,old_group_serial,0.971833,0.906041,0.680458,106496,13,1,0,0.171417,7,pass,1.023334;1.103292;0.903125;0.840208;0.971833;1.167083;0.936791 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-hub,1024,3070,1,old_pull_serial,6.226792,6.189458,5.559000,98240,32,4,0,0.111583,7,pass,6.469750;6.205875;6.281875;6.313250;6.206291;6.226792;6.218000 -hub,1024,3070,1,old_group_serial,4.938125,4.898500,4.725042,95170,31,1,0,0.111583,7,pass,4.938125;4.984083;4.930291;5.019042;4.921959;4.917917;4.942417 -random_masked_int64_reverse,1024,8192,8,old_pull_serial,0.551250,0.183875,0.034625,524288,8,1,0,0.234124,7,pass,0.562916;0.611584;0.507541;0.584208;0.551250;0.545666;0.529500 -random_masked_int64_reverse,1024,8192,8,old_group_serial,0.545000,0.189625,0.053708,368640,8,1,0,0.234124,7,pass,0.550208;0.545000;0.559584;0.519125;0.599333;0.510333;0.538333 -random,4096,32768,256,old_pull_serial,50.688208,12.960833,11.693708,201326592,24,3,0,0.566458,7,pass,49.485708;50.688208;50.617541;52.575375;52.112584;51.623333;49.864333 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-grid,10000,39600,1,old_group_serial,7.900583,7.766667,7.575625,7880400,199,1,0,0.517166,7,pass,7.784292;7.930583;7.900125;7.962542;7.925792;7.900583;7.879125 -grid,10000,39600,8,old_pull_serial,5.979167,5.041833,1.348542,63360000,200,25,0,0.506958,7,pass,5.915125;6.136083;6.013709;6.170083;5.979167;5.367833;5.483750 -grid,10000,39600,8,old_group_serial,8.833417,7.841084,7.497625,51480000,199,1,0,0.506958,7,pass,9.022208;8.728042;9.240834;8.833417;9.221417;8.709959;8.703625 -chain,2048,2047,1,old_pull_serial,28.500458,28.490334,4.103082,4192256,2048,256,0,0.107834,7,pass,28.967458;28.705334;28.500458;28.192459;28.413625;28.474459;29.089833 -chain,2048,2047,1,old_group_serial,4.908333,4.887208,4.718333,4192256,2048,1,0,0.107834,7,pass,4.940458;4.827959;4.908333;4.908542;4.900500;4.872958;4.930334 -hub,4096,12286,64,old_pull_serial,35.024208,32.034125,30.893042,31452160,40,5,0,0.415751,7,pass,35.024208;34.828667;34.493209;35.587167;35.316875;35.020542;35.557792 -hub,4096,12286,64,old_group_serial,28.801291,25.839084,25.138125,27176632,38,1,0,0.415751,7,pass,28.757334;28.801291;29.161167;28.600792;28.971625;29.009417;28.756875 -random,4096,131072,1,old_pull_serial,1.039917,0.523167,0.231750,2097152,16,2,0,1.780084,7,pass,0.989042;1.005208;1.085208;1.040166;1.076500;1.039917;0.952042 -random,4096,131072,1,old_group_serial,2.897000,2.410042,2.244375,1572864,12,1,0,1.780084,7,pass,2.997791;2.892875;2.918125;3.060042;2.897000;2.823458;2.822250 -random,4096,131072,64,old_pull_serial,36.476625,7.182083,6.285833,134217728,16,2,0,1.895875,7,pass,36.498208;36.726250;36.476625;36.892708;36.295291;35.935750;36.099417 -random,4096,131072,64,old_group_serial,37.791458,8.716333,8.064625,105644032,15,1,0,1.895875,7,pass,34.829667;37.791458;38.231041;40.189750;39.685208;34.319125;35.647958 diff --git a/dev/research/metal_pathfinding/optimization/results/aba/cpu-a1-stderr.txt b/dev/research/metal_pathfinding/optimization/results/aba/cpu-a1-stderr.txt deleted file mode 100644 index 26cb375..0000000 --- a/dev/research/metal_pathfinding/optimization/results/aba/cpu-a1-stderr.txt +++ /dev/null @@ -1 +0,0 @@ -device=Apple M4 Max setup_ms=28.925 execution_width=32 diff --git a/dev/research/metal_pathfinding/optimization/results/aba/cpu-a1.csv b/dev/research/metal_pathfinding/optimization/results/aba/cpu-a1.csv deleted file mode 100644 index c3fa171..0000000 --- a/dev/research/metal_pathfinding/optimization/results/aba/cpu-a1.csv +++ /dev/null @@ -1,49 +0,0 @@ -case,n,e,queries,method,wall_ms,distance_ms,gpu_ms,edge_visits,rounds,waits,fallback64,upload_ms,samples,correct,wall_samples_ms -random,1024,8192,1,cpu_full,0.085792,0.085792,0.000000,0,0,0,0,0.156042,7,pass,0.090042;0.086958;0.084917;0.085792;0.085166;0.084084;0.086291 -random,1024,8192,1,cpu_distance,0.050625,0.050625,0.000000,0,0,0,0,0.156042,7,pass,0.053458;0.050625;0.050750;0.050083;0.050833;0.049417;0.049792 -random,1024,8192,64,cpu_full,1.247667,1.247667,0.000000,0,0,0,0,0.179625,7,pass,1.311875;1.253000;1.283916;1.234333;1.247667;1.222625;1.230167 -random,1024,8192,64,cpu_distance,0.637834,0.637834,0.000000,0,0,0,0,0.179625,7,pass,0.659916;0.641583;0.637500;0.636542;0.635000;0.637834;0.673583 -clos,200,20000,64,cpu_full,1.072125,1.072125,0.000000,0,0,0,0,0.341708,7,pass,1.046542;1.066708;1.182333;1.086334;1.083958;1.070209;1.072125 -clos,200,20000,64,cpu_distance,0.236500,0.236500,0.000000,0,0,0,0,0.341708,7,pass,0.340000;0.352417;0.270083;0.211791;0.207666;0.210625;0.236500 -clos,200,20000,64,cpu_bfs_full,0.668917,0.668917,0.000000,0,0,0,0,0.341708,7,pass,0.584625;0.551000;0.668917;0.572917;1.059250;0.709625;0.824917 -clos,200,20000,64,cpu_bfs_distance,0.107959,0.107959,0.000000,0,0,0,0,0.341708,7,pass,0.121083;0.121792;0.125125;0.107959;0.098875;0.106792;0.099500 -grid,1024,3968,1,cpu_full,0.039042,0.039042,0.000000,0,0,0,0,0.131500,7,pass,0.042125;0.040916;0.039708;0.039000;0.039042;0.038708;0.038750 -grid,1024,3968,1,cpu_distance,0.012000,0.012000,0.000000,0,0,0,0,0.131500,7,pass,0.012334;0.012292;0.012000;0.011833;0.011834;0.011750;0.013917 -grid,1024,3968,1,cpu_bfs_full,0.009417,0.009417,0.000000,0,0,0,0,0.131500,7,pass,0.009667;0.009417;0.009333;0.011209;0.009375;0.009459;0.009416 -grid,1024,3968,1,cpu_bfs_distance,0.002250,0.002250,0.000000,0,0,0,0,0.131500,7,pass,0.002208;0.002250;0.002250;0.002250;0.002292;0.002250;0.002167 -hub,1024,3070,1,cpu_full,0.052333,0.052333,0.000000,0,0,0,0,0.088167,7,pass,0.054625;0.053500;0.052458;0.052250;0.051917;0.052250;0.052333 -hub,1024,3070,1,cpu_distance,0.024250,0.024250,0.000000,0,0,0,0,0.088167,7,pass,0.032333;0.027417;0.027333;0.024250;0.023000;0.022833;0.023333 -random_masked_int64_reverse,1024,8192,8,cpu_full,0.160083,0.160083,0.000000,0,0,0,0,0.211583,7,pass,0.160083;0.176334;0.154083;0.136833;0.218792;0.161000;0.148417 -random_masked_int64_reverse,1024,8192,8,cpu_distance,0.097875,0.097875,0.000000,0,0,0,0,0.211583,7,pass,0.104167;0.102375;0.089417;0.097500;0.119042;0.097875;0.091625 -random,4096,32768,256,cpu_full,21.390792,21.390792,0.000000,0,0,0,0,0.522792,7,pass,21.548084;21.431583;21.365709;21.390792;21.338292;21.801750;21.308459 -random,4096,32768,256,cpu_distance,10.971792,10.971792,0.000000,0,0,0,0,0.522792,7,pass,10.941667;10.993375;10.984292;10.964500;10.961292;10.982416;10.971792 -random,16384,131072,1,cpu_full,3.661958,3.661958,0.000000,0,0,0,0,1.746959,7,pass,3.746667;3.661083;3.750292;3.732167;3.661958;3.647583;3.608417 -random,16384,131072,1,cpu_distance,1.892958,1.892958,0.000000,0,0,0,0,1.746959,7,pass,1.928917;1.904500;1.910375;1.871917;1.892958;1.860250;1.857916 -random,16384,131072,64,cpu_full,27.692792,27.692792,0.000000,0,0,0,0,1.649084,7,pass,27.658708;27.723542;27.748375;27.639459;27.587250;27.692792;27.800584 -random,16384,131072,64,cpu_distance,15.163333,15.163333,0.000000,0,0,0,0,1.649084,7,pass,15.208709;15.168833;15.147959;15.182041;15.112375;15.163333;15.138666 -random,65536,524288,1,cpu_full,19.316000,19.316000,0.000000,0,0,0,0,8.086334,7,pass,19.478875;19.102083;19.316000;18.730125;19.269000;19.888458;19.416750 -random,65536,524288,1,cpu_distance,9.973291,9.973291,0.000000,0,0,0,0,8.086334,7,pass,9.973291;9.828167;9.980083;9.915125;10.174167;9.670458;10.011000 -clos,800,320000,1,cpu_full,2.177875,2.177875,0.000000,0,0,0,0,3.236458,7,pass,2.187833;2.149125;2.179167;2.127750;2.174667;2.177875;2.179375 -clos,800,320000,1,cpu_distance,0.353375,0.353375,0.000000,0,0,0,0,3.236458,7,pass,0.349791;0.351583;0.355959;0.350875;0.353375;0.356084;0.358625 -clos,800,320000,1,cpu_bfs_full,0.908000,0.908000,0.000000,0,0,0,0,3.236458,7,pass,0.894250;0.924792;0.909333;0.897084;0.879083;0.908000;0.937042 -clos,800,320000,1,cpu_bfs_distance,0.113125,0.113125,0.000000,0,0,0,0,3.236458,7,pass,0.108000;0.117208;0.118334;0.118125;0.111917;0.113083;0.113125 -clos,800,320000,64,cpu_full,17.041958,17.041958,0.000000,0,0,0,0,3.481041,7,pass,16.388250;16.388000;16.345833;17.041958;17.097833;17.276417;17.355125 -clos,800,320000,64,cpu_distance,2.677875,2.677875,0.000000,0,0,0,0,3.481041,7,pass,2.692500;2.691917;2.692916;2.664458;2.666875;2.677875;2.672917 -clos,800,320000,64,cpu_bfs_full,8.295667,8.295667,0.000000,0,0,0,0,3.481041,7,pass,8.552542;8.295667;8.069958;8.153791;8.517708;9.268417;7.606500 -clos,800,320000,64,cpu_bfs_distance,0.860834,0.860834,0.000000,0,0,0,0,3.481041,7,pass,0.877208;0.856917;0.860834;0.852542;0.853625;0.865167;0.862500 -grid,10000,39600,1,cpu_full,0.570333,0.570333,0.000000,0,0,0,0,0.470375,7,pass,0.594125;0.580542;0.570333;0.581792;0.562917;0.567750;0.565416 -grid,10000,39600,1,cpu_distance,0.195500,0.195500,0.000000,0,0,0,0,0.470375,7,pass,0.196333;0.195500;0.204250;0.205834;0.178250;0.179542;0.178500 -grid,10000,39600,1,cpu_bfs_full,0.089292,0.089292,0.000000,0,0,0,0,0.470375,7,pass,0.096875;0.091833;0.094041;0.089000;0.088291;0.089292;0.088625 -grid,10000,39600,1,cpu_bfs_distance,0.022333,0.022333,0.000000,0,0,0,0,0.470375,7,pass,0.022250;0.022458;0.022375;0.022333;0.022292;0.022333;0.022417 -grid,10000,39600,8,cpu_full,0.834084,0.834084,0.000000,0,0,0,0,0.487875,7,pass,0.822042;0.837667;0.834084;0.824375;0.947250;0.820791;0.905875 -grid,10000,39600,8,cpu_distance,0.247208,0.247208,0.000000,0,0,0,0,0.487875,7,pass,0.312416;0.251083;0.242958;0.247208;0.249833;0.242250;0.241583 -grid,10000,39600,8,cpu_bfs_full,0.286042,0.286042,0.000000,0,0,0,0,0.487875,7,pass,0.208750;0.380291;0.228291;0.305208;0.289917;0.286042;0.280583 -grid,10000,39600,8,cpu_bfs_distance,0.073084,0.073084,0.000000,0,0,0,0,0.487875,7,pass,0.073084;0.080750;0.059917;0.073875;0.061250;0.070417;0.078917 -chain,2048,2047,1,cpu_full,0.017209,0.017209,0.000000,0,0,0,0,0.136084,7,pass,0.017417;0.017042;0.017292;0.017125;0.017209;0.017042;0.017333 -chain,2048,2047,1,cpu_distance,0.003875,0.003875,0.000000,0,0,0,0,0.136084,7,pass,0.004292;0.003791;0.003875;0.003625;0.003834;0.004250;0.004292 -hub,4096,12286,64,cpu_full,2.437875,2.437875,0.000000,0,0,0,0,0.237500,7,pass,2.619125;2.383792;2.399750;2.449375;2.437875;2.494959;2.427084 -hub,4096,12286,64,cpu_distance,1.061875,1.061875,0.000000,0,0,0,0,0.237500,7,pass,1.033625;1.061875;1.169542;1.037792;1.101834;1.179625;1.025375 -random,4096,131072,1,cpu_full,1.589583,1.589583,0.000000,0,0,0,0,1.789499,7,pass,1.588625;1.589583;1.700625;1.634417;1.570459;1.556250;1.602333 -random,4096,131072,1,cpu_distance,0.648334,0.648334,0.000000,0,0,0,0,1.789499,7,pass,0.680583;0.654458;0.646000;0.670125;0.646000;0.631709;0.648334 -random,4096,131072,64,cpu_full,12.301875,12.301875,0.000000,0,0,0,0,1.617916,7,pass,12.273209;12.301875;12.218958;12.418250;12.324125;12.225125;14.931792 -random,4096,131072,64,cpu_distance,6.966334,6.966334,0.000000,0,0,0,0,1.617916,7,pass,7.551125;6.966334;6.212750;7.608792;7.220041;6.408000;6.150125 diff --git a/dev/research/metal_pathfinding/optimization/results/aba/cpu-a2-stderr.txt b/dev/research/metal_pathfinding/optimization/results/aba/cpu-a2-stderr.txt deleted file mode 100644 index 6703d2b..0000000 --- a/dev/research/metal_pathfinding/optimization/results/aba/cpu-a2-stderr.txt +++ /dev/null @@ -1 +0,0 @@ -device=Apple M4 Max setup_ms=27.1879 execution_width=32 diff --git a/dev/research/metal_pathfinding/optimization/results/aba/cpu-a2.csv b/dev/research/metal_pathfinding/optimization/results/aba/cpu-a2.csv deleted file mode 100644 index 7a31e8d..0000000 --- a/dev/research/metal_pathfinding/optimization/results/aba/cpu-a2.csv +++ /dev/null @@ -1,49 +0,0 @@ -case,n,e,queries,method,wall_ms,distance_ms,gpu_ms,edge_visits,rounds,waits,fallback64,upload_ms,samples,correct,wall_samples_ms -random,1024,8192,1,cpu_full,0.096875,0.096875,0.000000,0,0,0,0,0.174083,7,pass,0.102042;0.099000;0.096875;0.108042;0.094084;0.093875;0.095250 -random,1024,8192,1,cpu_distance,0.060958,0.060958,0.000000,0,0,0,0,0.174083,7,pass,0.071208;0.062958;0.064875;0.060958;0.057042;0.058167;0.058333 -random,1024,8192,64,cpu_full,1.340459,1.340459,0.000000,0,0,0,0,0.233833,7,pass,1.339292;1.340459;1.461292;1.366334;1.339458;1.339334;1.369500 -random,1024,8192,64,cpu_distance,0.663584,0.663584,0.000000,0,0,0,0,0.233833,7,pass,0.685834;0.674000;0.727500;0.663250;0.652916;0.639375;0.663584 -clos,200,20000,64,cpu_full,1.075958,1.075958,0.000000,0,0,0,0,0.372958,7,pass,1.282000;1.112375;1.074500;1.068083;1.078375;1.075958;1.045042 -clos,200,20000,64,cpu_distance,0.213417,0.213417,0.000000,0,0,0,0,0.372958,7,pass,0.221042;0.213417;0.207542;0.234416;0.213833;0.205459;0.213333 -clos,200,20000,64,cpu_bfs_full,0.633500,0.633500,0.000000,0,0,0,0,0.372958,7,pass,0.537833;0.574250;0.596792;0.647125;0.669458;0.633500;0.654042 -clos,200,20000,64,cpu_bfs_distance,0.086959,0.086959,0.000000,0,0,0,0,0.372958,7,pass,0.095250;0.097583;0.086166;0.086959;0.086875;0.119708;0.083708 -grid,1024,3968,1,cpu_full,0.038708,0.038708,0.000000,0,0,0,0,0.141166,7,pass,0.041292;0.039500;0.038708;0.038417;0.038209;0.041375;0.038584 -grid,1024,3968,1,cpu_distance,0.011750,0.011750,0.000000,0,0,0,0,0.141166,7,pass,0.012375;0.012125;0.011917;0.011750;0.011625;0.011458;0.011417 -grid,1024,3968,1,cpu_bfs_full,0.009375,0.009375,0.000000,0,0,0,0,0.141166,7,pass,0.011583;0.009375;0.009333;0.009375;0.009375;0.009250;0.009375 -grid,1024,3968,1,cpu_bfs_distance,0.002250,0.002250,0.000000,0,0,0,0,0.141166,7,pass,0.002417;0.002292;0.002209;0.002250;0.002208;0.002250;0.002208 -hub,1024,3070,1,cpu_full,0.052000,0.052000,0.000000,0,0,0,0,0.089875,7,pass,0.054083;0.052791;0.052584;0.052000;0.051250;0.050500;0.049667 -hub,1024,3070,1,cpu_distance,0.021875,0.021875,0.000000,0,0,0,0,0.089875,7,pass,0.023083;0.022209;0.021792;0.021875;0.021792;0.021708;0.021875 -random_masked_int64_reverse,1024,8192,8,cpu_full,0.153250,0.153250,0.000000,0,0,0,0,0.195541,7,pass,0.146583;0.156583;0.153250;0.150208;0.152708;0.154500;0.161333 -random_masked_int64_reverse,1024,8192,8,cpu_distance,0.096792,0.096792,0.000000,0,0,0,0,0.195541,7,pass,0.096792;0.099792;0.098333;0.100208;0.091708;0.095875;0.096000 -random,4096,32768,256,cpu_full,21.281458,21.281458,0.000000,0,0,0,0,0.549125,7,pass,21.277042;21.258375;21.281458;21.314917;21.324333;21.278875;21.311791 -random,4096,32768,256,cpu_distance,11.067666,11.067666,0.000000,0,0,0,0,0.549125,7,pass,10.994334;11.005000;11.026500;11.067666;11.480084;11.362334;11.215292 -random,16384,131072,1,cpu_full,3.885666,3.885666,0.000000,0,0,0,0,1.800708,7,pass,3.967125;3.796625;3.860291;4.262833;3.917000;3.885666;3.851709 -random,16384,131072,1,cpu_distance,1.976417,1.976417,0.000000,0,0,0,0,1.800708,7,pass,2.147667;1.979625;1.973542;1.929709;1.987833;1.976417;1.926417 -random,16384,131072,64,cpu_full,27.721375,27.721375,0.000000,0,0,0,0,1.755499,7,pass,27.835834;27.645166;28.465958;27.722000;27.721375;27.572417;27.613583 -random,16384,131072,64,cpu_distance,15.114541,15.114541,0.000000,0,0,0,0,1.755499,7,pass,15.135625;15.110792;15.146000;15.110208;15.084625;15.162208;15.114541 -random,65536,524288,1,cpu_full,19.240125,19.240125,0.000000,0,0,0,0,7.505250,7,pass,18.942084;19.240125;19.137625;18.829333;23.886875;23.010209;19.430541 -random,65536,524288,1,cpu_distance,11.143334,11.143334,0.000000,0,0,0,0,7.505250,7,pass,11.894666;11.143334;11.423291;11.711209;10.922250;10.678833;10.548333 -clos,800,320000,1,cpu_full,2.226791,2.226791,0.000000,0,0,0,0,3.538083,7,pass,2.209250;2.216750;2.188458;2.298666;2.251083;2.226791;2.260083 -clos,800,320000,1,cpu_distance,0.355500,0.355500,0.000000,0,0,0,0,3.538083,7,pass,0.357458;0.365666;0.355209;0.360042;0.355041;0.355500;0.354166 -clos,800,320000,1,cpu_bfs_full,0.937625,0.937625,0.000000,0,0,0,0,3.538083,7,pass,0.936500;0.937625;0.945042;0.929250;0.915417;0.948750;0.957208 -clos,800,320000,1,cpu_bfs_distance,0.123750,0.123750,0.000000,0,0,0,0,3.538083,7,pass,0.123666;0.123750;0.124541;0.124209;0.123875;0.123708;0.123667 -clos,800,320000,64,cpu_full,16.524625,16.524625,0.000000,0,0,0,0,3.487750,7,pass,16.632500;16.422167;16.362041;16.524625;16.451709;16.538916;17.851792 -clos,800,320000,64,cpu_distance,2.695875,2.695875,0.000000,0,0,0,0,3.487750,7,pass,2.691334;2.695875;2.701042;2.697666;2.720417;2.685208;2.679041 -clos,800,320000,64,cpu_bfs_full,7.884833,7.884833,0.000000,0,0,0,0,3.487750,7,pass,8.302500;7.823334;7.566250;8.220417;8.318000;7.284708;7.884833 -clos,800,320000,64,cpu_bfs_distance,0.852750,0.852750,0.000000,0,0,0,0,3.487750,7,pass,0.852750;0.845167;0.850709;0.855333;0.866959;0.852250;0.856625 -grid,10000,39600,1,cpu_full,0.582250,0.582250,0.000000,0,0,0,0,0.491958,7,pass,0.607667;0.600166;0.618917;0.582250;0.578916;0.577333;0.576292 -grid,10000,39600,1,cpu_distance,0.180667,0.180667,0.000000,0,0,0,0,0.491958,7,pass,0.182792;0.183417;0.180667;0.180958;0.175250;0.180667;0.180458 -grid,10000,39600,1,cpu_bfs_full,0.088459,0.088459,0.000000,0,0,0,0,0.491958,7,pass,0.088291;0.088917;0.090834;0.088459;0.088792;0.088250;0.088458 -grid,10000,39600,1,cpu_bfs_distance,0.022917,0.022917,0.000000,0,0,0,0,0.491958,7,pass,0.023041;0.022958;0.022625;0.022917;0.023000;0.022833;0.022750 -grid,10000,39600,8,cpu_full,0.822667,0.822667,0.000000,0,0,0,0,0.511542,7,pass,0.832125;0.829417;0.827291;0.794500;0.813292;0.776792;0.822667 -grid,10000,39600,8,cpu_distance,0.276209,0.276209,0.000000,0,0,0,0,0.511542,7,pass,0.276209;0.304541;0.321125;0.287250;0.269333;0.243208;0.248250 -grid,10000,39600,8,cpu_bfs_full,0.311708,0.311708,0.000000,0,0,0,0,0.511542,7,pass,0.265791;0.314416;0.360625;0.248334;0.311708;0.313541;0.259708 -grid,10000,39600,8,cpu_bfs_distance,0.066208,0.066208,0.000000,0,0,0,0,0.511542,7,pass,0.067666;0.066208;0.068375;0.060500;0.061917;0.083833;0.063875 -chain,2048,2047,1,cpu_full,0.017375,0.017375,0.000000,0,0,0,0,0.145041,7,pass,0.017333;0.019333;0.019292;0.019292;0.017333;0.017375;0.017208 -chain,2048,2047,1,cpu_distance,0.004250,0.004250,0.000000,0,0,0,0,0.145041,7,pass,0.004292;0.004250;0.004209;0.003667;0.004250;0.004250;0.004208 -hub,4096,12286,64,cpu_full,2.338125,2.338125,0.000000,0,0,0,0,0.253291,7,pass,2.335292;2.332416;2.317459;2.338125;2.381084;2.358125;2.366458 -hub,4096,12286,64,cpu_distance,1.035625,1.035625,0.000000,0,0,0,0,0.253291,7,pass,1.045917;1.049042;1.030417;1.033500;1.035625;1.039625;1.031583 -random,4096,131072,1,cpu_full,1.517583,1.517583,0.000000,0,0,0,0,1.896875,7,pass,1.623958;1.576583;1.545917;1.489375;1.478709;1.517583;1.455083 -random,4096,131072,1,cpu_distance,0.688208,0.688208,0.000000,0,0,0,0,1.896875,7,pass,0.716000;0.710083;0.689833;0.688208;0.669541;0.657958;0.656333 -random,4096,131072,64,cpu_full,12.817167,12.817167,0.000000,0,0,0,0,1.777875,7,pass,12.910500;12.817167;12.927917;12.482625;13.703958;12.457333;12.349375 -random,4096,131072,64,cpu_distance,5.703500,5.703500,0.000000,0,0,0,0,1.777875,7,pass,5.703500;5.924666;5.729834;5.690042;5.765166;5.701958;5.690917 diff --git a/dev/research/metal_pathfinding/optimization/results/aba/environment.txt b/dev/research/metal_pathfinding/optimization/results/aba/environment.txt deleted file mode 100644 index 12e4344..0000000 --- a/dev/research/metal_pathfinding/optimization/results/aba/environment.txt +++ /dev/null @@ -1,20 +0,0 @@ -2026-09-26T23:29:08Z -fbab119e794c843838f4f3f96d75cb7f32f06845 -ProductName: macOS -ProductVersion: 26.6.1 -BuildVersion: 25G76 -Apple M4 Max -38654705664 -14 -Apple clang version 21.0.0 (clang-2100.1.1.101) -Target: arm64-apple-darwin25.6.0 -Thread model: posix -InstalledDir: /Library/Developer/CommandLineTools/usr/bin -1da9ff77bd2ad97e95e951454821b25005859c6f75c27a3c56d925e5fc99f6fc dev/research/metal_pathfinding/experiment.mm -2e36b1623a3940bf1f19f5d81141bb1def14f5873fe2a98aab0101bbe68618a3 dev/research/metal_pathfinding/sssp.metal -7717db8d791d17f7f0ef0b672461ad82afb2ae99cc2ab6c8cb8b33b35e74dd25 dev/research/metal_pathfinding/optimization/experiment.mm -bed6c9a836e85520101659471c62b7c4c9eb6f4954cb7bb74c971f10c44f37ff dev/research/metal_pathfinding/optimization/kernels.metal -7bb649ffcd34e6be02ab14c35767b816b0b32ce3ee3c2fd91c199e4b37a837ce build/metal_pathfinding/optimized -Note: No thermal warning level has been recorded -Note: No performance warning level has been recorded -Note: No CPU power status has been recorded diff --git a/dev/research/metal_pathfinding/optimization/results/aba/gpu-load-base-a1.txt b/dev/research/metal_pathfinding/optimization/results/aba/gpu-load-base-a1.txt deleted file mode 100644 index e35f762..0000000 --- a/dev/research/metal_pathfinding/optimization/results/aba/gpu-load-base-a1.txt +++ /dev/null @@ -1 +0,0 @@ - | "PerformanceStatistics" = {"In use system memory (driver)"=0,"Alloc system memory"=11174330368,"Tiler Utilization %"=5,"recoveryCount"=0,"lastRecoveryTime"=0,"Renderer Utilization %"=8,"TiledSceneBytes"=2228224,"Device Utilization %"=9,"SplitSceneCount"=0,"Allocated PB Size"=194379776,"In use system memory"=1583366144} diff --git a/dev/research/metal_pathfinding/optimization/results/aba/gpu-load-base-a2.txt b/dev/research/metal_pathfinding/optimization/results/aba/gpu-load-base-a2.txt deleted file mode 100644 index 3dfce12..0000000 --- a/dev/research/metal_pathfinding/optimization/results/aba/gpu-load-base-a2.txt +++ /dev/null @@ -1 +0,0 @@ - | "PerformanceStatistics" = {"In use system memory (driver)"=0,"Alloc system memory"=10970677248,"Tiler Utilization %"=3,"recoveryCount"=0,"lastRecoveryTime"=0,"Renderer Utilization %"=5,"TiledSceneBytes"=1507328,"Device Utilization %"=63,"SplitSceneCount"=0,"Allocated PB Size"=189661184,"In use system memory"=1386561536} diff --git a/dev/research/metal_pathfinding/optimization/results/aba/gpu-load-cpu-a1.txt b/dev/research/metal_pathfinding/optimization/results/aba/gpu-load-cpu-a1.txt deleted file mode 100644 index aff1c2d..0000000 --- a/dev/research/metal_pathfinding/optimization/results/aba/gpu-load-cpu-a1.txt +++ /dev/null @@ -1 +0,0 @@ - | "PerformanceStatistics" = {"In use system memory (driver)"=0,"Alloc system memory"=10953162752,"Tiler Utilization %"=4,"recoveryCount"=0,"lastRecoveryTime"=0,"Renderer Utilization %"=6,"TiledSceneBytes"=2326528,"Device Utilization %"=30,"SplitSceneCount"=0,"Allocated PB Size"=191889408,"In use system memory"=1362182144} diff --git a/dev/research/metal_pathfinding/optimization/results/aba/gpu-load-cpu-a2.txt b/dev/research/metal_pathfinding/optimization/results/aba/gpu-load-cpu-a2.txt deleted file mode 100644 index 191180b..0000000 --- a/dev/research/metal_pathfinding/optimization/results/aba/gpu-load-cpu-a2.txt +++ /dev/null @@ -1 +0,0 @@ - | "PerformanceStatistics" = {"In use system memory (driver)"=0,"Alloc system memory"=11218386944,"Tiler Utilization %"=3,"recoveryCount"=0,"lastRecoveryTime"=0,"Renderer Utilization %"=5,"TiledSceneBytes"=1441792,"Device Utilization %"=66,"SplitSceneCount"=0,"Allocated PB Size"=193069056,"In use system memory"=1351647232} diff --git a/dev/research/metal_pathfinding/optimization/results/aba/gpu-load-optimized-b.txt b/dev/research/metal_pathfinding/optimization/results/aba/gpu-load-optimized-b.txt deleted file mode 100644 index 3a68cce..0000000 --- a/dev/research/metal_pathfinding/optimization/results/aba/gpu-load-optimized-b.txt +++ /dev/null @@ -1 +0,0 @@ - | "PerformanceStatistics" = {"In use system memory (driver)"=0,"Alloc system memory"=10995400704,"Tiler Utilization %"=2,"recoveryCount"=0,"lastRecoveryTime"=0,"Renderer Utilization %"=3,"TiledSceneBytes"=1474560,"Device Utilization %"=66,"SplitSceneCount"=0,"Allocated PB Size"=192282624,"In use system memory"=1355710464} diff --git a/dev/research/metal_pathfinding/optimization/results/aba/load-base-a1.txt b/dev/research/metal_pathfinding/optimization/results/aba/load-base-a1.txt deleted file mode 100644 index dd02bc0..0000000 --- a/dev/research/metal_pathfinding/optimization/results/aba/load-base-a1.txt +++ /dev/null @@ -1,40 +0,0 @@ -Processes: 1024 total, 3 running, 1021 sleeping, 5250 threads -2026/09/27 00:29:21 -Load Avg: 3.21, 3.60, 4.27 -CPU usage: 6.18% user, 11.61% sys, 82.20% idle -SharedLibs: 916M resident, 168M data, 136M linkedit. -MemRegions: 638813 total, 10G resident, 741M private, 4389M shared. -PhysMem: 34G used (4239M wired, 626M compressor), 1115M unused. -VM: 453T vsize, 6144M framework vsize, 2846220(0) swapins, 4729331(0) swapouts. -Networks: packets: 191126338/161G in, 146586979/163G out. -Disks: 97827999/2477G read, 117446770/2100G written. - -PID COMMAND %CPU #TH -99753 mscamerad-xpc 0.0 2 -99752 PlugInLibrarySer 0.0 2 -99750 QuickLookUIServi 0.0 3 -99749 com.apple.appkit 0.0 3 -99710 PlugInLibrarySer 0.0 2 -99709 Preview 0.0 4 -99428 crashpad_handler 0.0 4 -98995 crashpad_handler 0.0 4 -Processes: 1025 total, 4 running, 1021 sleeping, 5258 threads -2026/09/27 00:29:22 -Load Avg: 3.21, 3.60, 4.27 -CPU usage: 6.63% user, 5.47% sys, 87.88% idle -SharedLibs: 916M resident, 168M data, 136M linkedit. -MemRegions: 152 total, 11M resident, 741M private, 4418M shared. -PhysMem: 34G used (4196M wired, 626M compressor), 1089M unused. -VM: 453T vsize, 6144M framework vsize, 2846220(0) swapins, 4729331(0) swapouts. -Networks: packets: 191126514/161G in, 146587155/163G out. -Disks: 97828002/2477G read, 117446910/2100G written. - -PID COMMAND %CPU #TH -590 WindowServer 21.6 28/1 -70968 Superset Helper 15.9 32 -0 kernel_task 14.4 850/15 -7309 top 7.7 1/1 -21666 2.1.283 7.3 27 -70942 Superset Helper 7.2 19 -70934 Superset 5.9 51 -70969 Superset 5.2 21 diff --git a/dev/research/metal_pathfinding/optimization/results/aba/load-base-a2.txt b/dev/research/metal_pathfinding/optimization/results/aba/load-base-a2.txt deleted file mode 100644 index d18990e..0000000 --- a/dev/research/metal_pathfinding/optimization/results/aba/load-base-a2.txt +++ /dev/null @@ -1,40 +0,0 @@ -Processes: 1019 total, 2 running, 1017 sleeping, 5187 threads -2026/09/27 00:30:29 -Load Avg: 3.19, 3.55, 4.19 -CPU usage: 5.82% user, 8.66% sys, 85.51% idle -SharedLibs: 916M resident, 168M data, 136M linkedit. -MemRegions: 638542 total, 10G resident, 736M private, 4366M shared. -PhysMem: 34G used (3986M wired, 626M compressor), 1354M unused. -VM: 451T vsize, 6144M framework vsize, 2846220(0) swapins, 4729331(0) swapouts. -Networks: packets: 191149845/161G in, 146612635/163G out. -Disks: 97828398/2477G read, 117449998/2100G written. - -PID COMMAND %CPU #TH -99753 mscamerad-xpc 0.0 2 -99752 PlugInLibrarySer 0.0 2 -99750 QuickLookUIServi 0.0 3 -99749 com.apple.appkit 0.0 3 -99710 PlugInLibrarySer 0.0 2 -99709 Preview 0.0 4 -99428 crashpad_handler 0.0 4 -98995 crashpad_handler 0.0 4 -Processes: 1019 total, 4 running, 1015 sleeping, 5180 threads -2026/09/27 00:30:30 -Load Avg: 3.19, 3.55, 4.19 -CPU usage: 6.81% user, 6.18% sys, 86.99% idle -SharedLibs: 916M resident, 168M data, 136M linkedit. -MemRegions: 0 total, 0B resident, 736M private, 4366M shared. -PhysMem: 34G used (4002M wired, 626M compressor), 1357M unused. -VM: 451T vsize, 6144M framework vsize, 2846220(0) swapins, 4729331(0) swapouts. -Networks: packets: 191150177/161G in, 146613141/163G out. -Disks: 97828398/2477G read, 117450254/2100G written. - -PID COMMAND %CPU #TH -590 WindowServer 25.0 29/1 -70968 Superset Helper 21.6 32/1 -0 kernel_task 13.1 850/14 -1 launchd 11.9 3 -15622 top 8.2 1/1 -70942 Superset Helper 7.5 19 -81804 2.1.283 6.7 27 -70969 Superset 3.6 20 diff --git a/dev/research/metal_pathfinding/optimization/results/aba/load-cpu-a1.txt b/dev/research/metal_pathfinding/optimization/results/aba/load-cpu-a1.txt deleted file mode 100644 index 1c23bd6..0000000 --- a/dev/research/metal_pathfinding/optimization/results/aba/load-cpu-a1.txt +++ /dev/null @@ -1,40 +0,0 @@ -Processes: 1032 total, 3 running, 1029 sleeping, 5281 threads -2026/09/27 00:29:09 -Load Avg: 3.51, 3.67, 4.30 -CPU usage: 10.0% user, 9.68% sys, 80.31% idle -SharedLibs: 916M resident, 168M data, 136M linkedit. -MemRegions: 639248 total, 10G resident, 749M private, 4360M shared. -PhysMem: 34G used (3986M wired, 626M compressor), 1219M unused. -VM: 456T vsize, 6144M framework vsize, 2846220(0) swapins, 4729331(0) swapouts. -Networks: packets: 191122601/161G in, 146582691/163G out. -Disks: 97827926/2477G read, 117446010/2100G written. - -PID COMMAND %CPU #TH -99753 mscamerad-xpc 0.0 2 -99752 PlugInLibrarySer 0.0 2 -99750 QuickLookUIServi 0.0 3 -99749 com.apple.appkit 0.0 3 -99710 PlugInLibrarySer 0.0 2 -99709 Preview 0.0 4 -99553 mdworker_shared 0.0 4 -99428 crashpad_handler 0.0 4 -Processes: 1032 total, 4 running, 1028 sleeping, 5264 threads -2026/09/27 00:29:10 -Load Avg: 3.51, 3.67, 4.30 -CPU usage: 11.73% user, 5.4% sys, 83.21% idle -SharedLibs: 916M resident, 168M data, 136M linkedit. -MemRegions: 0 total, 0B resident, 749M private, 4360M shared. -PhysMem: 34G used (3988M wired, 626M compressor), 1243M unused. -VM: 456T vsize, 6144M framework vsize, 2846220(0) swapins, 4729331(0) swapouts. -Networks: packets: 191123079/161G in, 146583230/163G out. -Disks: 97827926/2477G read, 117446016/2100G written. - -PID COMMAND %CPU #TH -590 WindowServer 20.6 28/1 -70968 Superset Helper 17.5 32 -0 kernel_task 12.2 850/14 -70942 Superset Helper 6.4 19 -6126 top 6.1 1/1 -21666 2.1.283 4.7 27 -70969 Superset 2.5 20 -70934 Superset 2.1 50 diff --git a/dev/research/metal_pathfinding/optimization/results/aba/load-cpu-a2.txt b/dev/research/metal_pathfinding/optimization/results/aba/load-cpu-a2.txt deleted file mode 100644 index f527810..0000000 --- a/dev/research/metal_pathfinding/optimization/results/aba/load-cpu-a2.txt +++ /dev/null @@ -1,40 +0,0 @@ -Processes: 1023 total, 6 running, 1017 sleeping, 5244 threads -2026/09/27 00:30:44 -Load Avg: 3.82, 3.67, 4.23 -CPU usage: 13.90% user, 12.81% sys, 73.28% idle -SharedLibs: 916M resident, 168M data, 136M linkedit. -MemRegions: 638887 total, 10G resident, 740M private, 4419M shared. -PhysMem: 34G used (3984M wired, 626M compressor), 992M unused. -VM: 452T vsize, 6144M framework vsize, 2846220(0) swapins, 4729331(0) swapouts. -Networks: packets: 191155920/161G in, 146620711/163G out. -Disks: 97828530/2477G read, 117450792/2100G written. - -PID COMMAND %CPU #TH -99753 mscamerad-xpc 0.0 2 -99752 PlugInLibrarySer 0.0 2 -99750 QuickLookUIServi 0.0 3 -99749 com.apple.appkit 0.0 3 -99710 PlugInLibrarySer 0.0 2 -99709 Preview 0.0 4 -99428 crashpad_handler 0.0 4 -98995 crashpad_handler 0.0 4 -Processes: 1029 total, 5 running, 1 stuck, 1023 sleeping, 5261 threads -2026/09/27 00:30:45 -Load Avg: 3.82, 3.67, 4.23 -CPU usage: 16.69% user, 5.86% sys, 77.44% idle -SharedLibs: 916M resident, 168M data, 136M linkedit. -MemRegions: 282 total, 10M resident, 740M private, 4464M shared. -PhysMem: 34G used (3976M wired, 626M compressor), 1037M unused. -VM: 455T vsize, 6144M framework vsize, 2846220(0) swapins, 4729331(0) swapouts. -Networks: packets: 191156199/161G in, 146620961/163G out. -Disks: 97828530/2477G read, 117450800/2100G written. - -PID COMMAND %CPU #TH -16594 Google Chrome He 55.7 25/1 -1225 mediaanalysisd 36.4 18/2 -590 WindowServer 27.7 29 -70968 Superset Helper 25.0 32/1 -95916 Google Chrome 17.5 46 -0 kernel_task 15.2 850/14 -731 sysmond 10.4 3 -70942 Superset Helper 9.3 19 diff --git a/dev/research/metal_pathfinding/optimization/results/aba/load-optimized-b.txt b/dev/research/metal_pathfinding/optimization/results/aba/load-optimized-b.txt deleted file mode 100644 index 744da4d..0000000 --- a/dev/research/metal_pathfinding/optimization/results/aba/load-optimized-b.txt +++ /dev/null @@ -1,40 +0,0 @@ -Processes: 1023 total, 3 running, 1020 sleeping, 5207 threads -2026/09/27 00:29:35 -Load Avg: 3.30, 3.60, 4.25 -CPU usage: 6.44% user, 8.69% sys, 84.86% idle -SharedLibs: 916M resident, 168M data, 136M linkedit. -MemRegions: 625656 total, 10G resident, 740M private, 4353M shared. -PhysMem: 34G used (3975M wired, 626M compressor), 1426M unused. -VM: 451T vsize, 6144M framework vsize, 2846220(0) swapins, 4729331(0) swapouts. -Networks: packets: 191131577/161G in, 146592177/163G out. -Disks: 97828052/2477G read, 117447547/2100G written. - -PID COMMAND %CPU #TH -99753 mscamerad-xpc 0.0 2 -99752 PlugInLibrarySer 0.0 2 -99750 QuickLookUIServi 0.0 3 -99749 com.apple.appkit 0.0 3 -99710 PlugInLibrarySer 0.0 2 -99709 Preview 0.0 4 -99428 crashpad_handler 0.0 4 -98995 crashpad_handler 0.0 4 -Processes: 1024 total, 4 running, 1020 sleeping, 5206 threads -2026/09/27 00:29:37 -Load Avg: 3.30, 3.60, 4.25 -CPU usage: 7.77% user, 5.29% sys, 86.92% idle -SharedLibs: 916M resident, 168M data, 136M linkedit. -MemRegions: 33 total, 80K resident, 740M private, 4354M shared. -PhysMem: 34G used (3977M wired, 626M compressor), 1411M unused. -VM: 451T vsize, 6144M framework vsize, 2846220(0) swapins, 4729331(0) swapouts. -Networks: packets: 191131879/161G in, 146592477/163G out. -Disks: 97828056/2477G read, 117447556/2100G written. - -PID COMMAND %CPU #TH -590 WindowServer 24.9 28 -70968 Superset Helper 16.7 32 -0 kernel_task 12.6 850/14 -81804 2.1.283 10.9 27 -9966 top 6.7 1/1 -70942 Superset Helper 6.5 19 -39757 codex 4.9 31 -70969 Superset 2.8 20 diff --git a/dev/research/metal_pathfinding/optimization/results/aba/optimized-b-stderr.txt b/dev/research/metal_pathfinding/optimization/results/aba/optimized-b-stderr.txt deleted file mode 100644 index fed94be..0000000 --- a/dev/research/metal_pathfinding/optimization/results/aba/optimized-b-stderr.txt +++ /dev/null @@ -1 +0,0 @@ -device=Apple M4 Max setup_ms=23.3475 execution_width=32 diff --git a/dev/research/metal_pathfinding/optimization/results/aba/optimized-b.csv b/dev/research/metal_pathfinding/optimization/results/aba/optimized-b.csv deleted file mode 100644 index ceb3e3f..0000000 --- a/dev/research/metal_pathfinding/optimization/results/aba/optimized-b.csv +++ /dev/null @@ -1,217 +0,0 @@ -case,n,e,queries,method,wall_ms,distance_ms,gpu_ms,edge_visits,rounds,waits,fallback64,upload_ms,samples,correct,wall_samples_ms -random,1024,8192,1,old_pull_parallel_dag,1.422708,1.375584,0.424208,131072,16,2,0,0.152791,7,pass,1.540625;1.013375;1.422708;0.980167;1.441208;1.027458;1.449958 -random,1024,8192,1,old_group_parallel_dag,0.833500,0.818833,0.679958,106496,13,1,0,0.152791,7,pass,0.833500;0.817917;1.119042;0.831833;0.925708;0.827042;0.877000 -random,1024,8192,1,pull64_barrier,0.659084,0.646375,0.390667,131072,16,2,0,0.152791,7,pass,0.644416;0.664875;0.659084;0.643459;0.654750;0.659750;0.671792 -random,1024,8192,1,pull64_interleaved,0.655584,0.643000,0.375208,131072,16,2,0,0.152791,7,pass,0.660167;0.652250;0.655584;0.672125;0.650375;0.629083;0.677083 -random,1024,8192,1,pull32_interleaved,0.599333,0.586041,0.337667,131072,16,2,0,0.152791,7,pass,0.667083;0.607875;0.599333;0.571542;0.736667;0.583833;0.566542 -random,1024,8192,1,pull32_gpu_dag,0.960083,0.603666,0.406125,131072,16,4,0,0.152791,7,pass,1.014709;0.960083;0.982375;0.981250;0.949417;0.928375;0.958334 -random,1024,8192,1,frontier32_vertex,0.923583,0.909625,0.634334,21088,16,2,0,0.152791,7,pass,0.906208;0.964958;0.872292;0.874250;1.228792;0.930208;0.923583 -random,1024,8192,1,frontier32_simd,0.661125,0.647209,0.380375,20272,16,2,0,0.152791,7,pass,0.647583;0.661125;0.686791;0.653458;0.636375;0.679750;0.674833 -random,1024,8192,1,frontier32_gpu_dag,1.002750,0.652084,0.452250,20384,16,4,0,0.152791,7,pass,0.988750;0.968709;0.979666;1.002750;1.115041;1.082875;1.185666 -random,1024,8192,1,bucket32_d4,1.895167,1.880583,1.276084,8232,32,4,0,0.152791,7,pass,2.037416;2.476041;1.853333;1.785791;1.902334;1.888917;1.895167 -random,1024,8192,1,bucket32_d16,1.421542,1.407000,0.920208,9336,24,3,0,0.152791,7,pass,1.421542;1.436167;1.369375;1.347459;1.377084;1.460625;1.463417 -random,1024,8192,1,bucket32_d64,0.953750,0.939042,0.653708,19264,16,2,0,0.152791,7,pass,0.950916;0.940167;0.953750;0.954375;0.977375;1.016334;0.913959 -random,1024,8192,64,old_pull_parallel_dag,1.972792,1.703000,1.236416,12582912,24,3,0,0.238875,7,pass,2.379583;2.263125;1.972792;1.649750;1.554584;1.804167;2.017709 -random,1024,8192,64,old_group_parallel_dag,0.852750,0.566166,0.379500,7217152,17,1,0,0.238875,7,pass,0.972542;0.909042;0.773791;0.876500;0.773208;0.852750;0.821167 -random,1024,8192,64,pull64_barrier,1.223458,0.948625,0.470458,12582912,24,3,0,0.238875,7,pass,1.215166;1.266916;1.459875;1.254708;1.100250;1.223458;1.058542 -random,1024,8192,64,pull64_interleaved,0.940417,0.670542,0.268333,12582912,24,3,0,0.238875,7,pass,1.098459;0.940417;1.008292;1.048209;0.935416;0.862625;0.937292 -random,1024,8192,64,pull32_interleaved,0.863416,0.594792,0.197417,12582912,24,3,0,0.238875,7,pass,0.897167;0.847458;0.843917;0.856791;0.925958;0.885125;0.863416 -random,1024,8192,64,pull32_gpu_dag,0.998000,0.578542,0.199083,12582912,24,5,0,0.238875,7,pass,1.014750;0.831500;0.914292;1.005500;0.940167;0.998000;1.025125 -random,1024,8192,64,frontier32_vertex,0.869625,0.628834,0.239458,1289824,16,2,0,0.238875,7,pass,0.929916;1.029083;0.811167;0.964459;0.869625;0.779625;0.783875 -random,1024,8192,64,frontier32_simd,1.028500,0.795709,0.456417,1202328,16,2,0,0.238875,7,pass,1.156250;1.092875;1.028500;0.996917;0.985625;1.019916;1.121709 -random,1024,8192,64,frontier32_gpu_dag,1.197083,0.889625,0.508875,1201208,16,4,0,0.238875,7,pass,1.042417;1.254542;1.182167;1.197083;1.099917;1.569084;2.684750 -random,1024,8192,64,bucket32_d4,5.929458,5.638042,4.210875,528528,56,7,0,0.238875,7,pass,6.084667;5.929458;5.901834;6.615042;5.929458;2.489625;2.791458 -random,1024,8192,64,bucket32_d16,1.623792,1.347083,0.712083,601456,32,4,0,0.238875,7,pass,1.662291;1.614416;1.657709;1.623792;1.578500;1.475583;1.650417 -random,1024,8192,64,bucket32_d64,1.402750,1.126334,0.671125,1154720,24,3,0,0.238875,7,pass,1.349709;1.441667;1.314791;1.402750;1.365125;1.570500;1.408750 -clos,200,20000,64,old_pull_parallel_dag,2.136750,1.514125,1.015667,10240000,8,1,0,0.322125,7,pass,2.048625;2.183375;2.117792;1.920167;2.160875;2.136750;2.711125 -clos,200,20000,64,old_group_parallel_dag,1.460750,0.833416,0.303250,3840000,3,1,0,0.322125,7,pass,1.479875;1.528583;1.339875;1.338875;1.467208;1.426625;1.460750 -clos,200,20000,64,pull64_barrier,2.071916,1.523875,1.000375,10240000,8,1,0,0.322125,7,pass,2.033375;2.132917;2.115500;2.105750;1.921250;1.814041;2.071916 -clos,200,20000,64,pull64_interleaved,1.903375,1.332458,0.757208,10240000,8,1,0,0.322125,7,pass,1.586917;1.955417;1.903375;2.048458;1.910875;1.876500;1.902250 -clos,200,20000,64,pull32_interleaved,1.893500,1.311208,0.687708,10240000,8,1,0,0.322125,7,pass,1.853250;1.915167;1.809917;1.898334;1.949167;1.893500;1.792167 -clos,200,20000,64,pull32_gpu_dag,2.091666,1.226209,1.012708,10240000,8,3,0,0.322125,7,pass,2.159458;2.626458;1.675041;2.091666;1.743709;2.184375;2.028334 -clos,200,20000,64,frontier32_vertex,2.381875,1.556917,0.961125,1280000,8,1,0,0.322125,7,pass,2.020291;2.766500;2.041667;2.792125;2.084459;2.381875;2.471625 -clos,200,20000,64,frontier32_simd,1.552459,0.924500,0.317875,1280000,8,1,0,0.322125,7,pass,1.552459;1.569875;1.528791;1.653375;1.387708;1.480917;1.568750 -clos,200,20000,64,frontier32_gpu_dag,1.979166,0.982458,0.836500,1280000,8,3,0,0.322125,7,pass,2.080875;1.972042;1.933208;2.108042;1.548334;1.979166;2.014125 -clos,200,20000,64,bucket32_d4,1.572375,1.024583,0.480750,1280000,8,1,0,0.322125,7,pass,2.073625;1.344417;1.663959;1.754875;1.275500;1.452917;1.572375 -clos,200,20000,64,bucket32_d16,1.739292,1.165625,0.491667,1280000,8,1,0,0.322125,7,pass,1.775000;1.796583;1.739292;1.315750;1.685625;1.748541;1.637916 -clos,200,20000,64,bucket32_d64,1.692708,1.072250,0.489542,1280000,8,1,0,0.322125,7,pass,1.629041;1.683584;1.586167;1.839709;1.716250;1.692708;1.699208 -grid,1024,3968,1,old_pull_parallel_dag,1.747333,1.738833,0.651333,253952,64,8,0,0.124084,7,pass,1.754625;1.747333;1.919625;1.635333;1.795750;1.629333;1.627542 -grid,1024,3968,1,old_group_parallel_dag,0.365667,0.358792,0.227375,249984,63,1,0,0.124084,7,pass,1.116750;0.360041;0.365667;0.352625;0.396042;0.372000;0.363209 -grid,1024,3968,1,pull64_barrier,1.119292,1.111458,0.177083,253952,64,8,0,0.124084,7,pass,1.136458;1.122167;1.175458;1.103917;1.119292;1.113042;1.103334 -grid,1024,3968,1,pull64_interleaved,1.144083,1.136125,0.176751,253952,64,8,0,0.124084,7,pass,1.134375;1.313625;1.215166;1.160208;1.096416;1.144083;1.113833 -grid,1024,3968,1,pull32_interleaved,1.088542,1.080667,0.163666,253952,64,8,0,0.124084,7,pass,1.101875;1.104166;1.088542;1.119625;1.051041;0.916541;1.050417 -grid,1024,3968,1,pull32_gpu_dag,1.270833,0.918458,0.173167,253952,64,10,0,0.124084,7,pass,1.277166;1.248125;1.308083;1.206458;1.379875;1.122791;1.270833 -grid,1024,3968,1,frontier32_vertex,1.312625,1.304791,0.528083,3968,64,8,0,0.124084,7,pass,1.312625;1.423958;1.307792;1.312292;1.321584;1.309625;1.349500 -grid,1024,3968,1,frontier32_simd,1.179667,1.171750,0.396291,3968,64,8,0,0.124084,7,pass,1.224375;1.179125;1.179667;1.174000;1.176875;1.186250;1.278792 -grid,1024,3968,1,frontier32_gpu_dag,1.394125,1.178458,0.407416,3968,64,10,0,0.124084,7,pass,1.432250;1.562334;1.460583;1.370833;1.394125;1.385333;1.378958 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"wall_samples_ms": "3.645583;3.193958;3.704875;3.761667;3.484667;3.679709;3.840292" - } - }, - { - "case": [ - "random", - "4096", - "131072", - "1" - ], - "cpu_a1": 1.589583, - "cpu_a2": 1.517583, - "old_method": "old_pull_serial", - "old_a1": 0.90625, - "old_a2": 1.039917, - "best": { - "case": "random", - "n": "4096", - "e": "131072", - "queries": "1", - "method": "frontier32_simd", - "wall_ms": "0.546833", - "distance_ms": "0.381416", - "gpu_ms": "0.130042", - "edge_visits": "385248", - "rounds": "16", - "waits": "2", - "fallback64": "0", - "upload_ms": "1.684833", - "samples": "7", - "correct": "pass", - "wall_samples_ms": "0.606166;0.614833;0.596666;0.532584;0.506333;0.517209;0.546833" - } - }, - { - "case": [ - "random", - "4096", - "131072", - "64" - ], - "cpu_a1": 12.301875, - "cpu_a2": 12.817167, - "old_method": "old_group_serial", - "old_a1": 31.930417, - "old_a2": 37.791458, - "best": { - "case": "random", - "n": "4096", - "e": "131072", - "queries": "64", - "method": "pull32_gpu_dag", - "wall_ms": "2.051166", - "distance_ms": "1.481834", - "gpu_ms": "0.860875", - "edge_visits": "134217728", - "rounds": "16", - "waits": "4", - "fallback64": "0", - "upload_ms": "1.632958", - "samples": "7", - "correct": "pass", - "wall_samples_ms": "5.183500;1.808125;2.051166;1.508042;2.034416;2.400834;4.045375" - } - } - ] -} diff --git a/dev/research/metal_pathfinding/optimization/results/aba/summary.md b/dev/research/metal_pathfinding/optimization/results/aba/summary.md deleted file mode 100644 index 8f1d0b6..0000000 --- a/dev/research/metal_pathfinding/optimization/results/aba/summary.md +++ /dev/null @@ -1,317 +0,0 @@ -# Exploratory A/B/A measurements - -Warm full-result latency in ms, including host distances and positive-cost predecessor DAG. Seven measured samples plus two checked warmups per row. CPU batches use 10 reusable workers. Best variant is selected after measurement; this is an oracle comparison, not an implemented dispatcher. Old GPU columns cover the original pull and group variants; the shared-memory variant was not rerun. The machine was not isolated; these are not accepted performance claims. - -| Case | N / E / Q | CPU full A1 / A2 | Old GPU A1 / A2 | Best tested optimized GPU | ms | CPU BFS full A1 / A2 | -|---|---:|---:|---:|---|---:|---:| -| random | 1024 / 8192 / 1 | 0.086 / 0.097 | 0.915 / 0.972 | pull32_interleaved | 0.599 | — | -| random | 1024 / 8192 / 64 | 1.248 / 1.340 | 3.818 / 3.769 | old_group_parallel_dag | 0.853 | — | -| clos | 200 / 20000 / 64 | 1.072 / 1.076 | 4.768 / 4.870 | old_group_parallel_dag | 1.461 | 0.669 / 0.633 | -| grid | 1024 / 3968 / 1 | 0.039 / 0.039 | 1.177 / 1.166 | old_group_parallel_dag | 0.366 | 0.009 / 0.009 | -| hub | 1024 / 3070 / 1 | 0.052 / 0.052 | 4.908 / 4.938 | frontier32_simd | 0.784 | — | -| random_masked_int64_reverse | 1024 / 8192 / 8 | 0.160 / 0.153 | 0.518 / 0.551 | bucket32_d16 (64-bit pull fallback) | 0.224 | — | -| random | 4096 / 32768 / 256 | 21.391 / 21.281 | 47.812 / 49.310 | pull64_interleaved | 7.003 | — | -| random | 16384 / 131072 / 1 | 3.662 / 3.886 | 2.098 / 1.870 | pull32_interleaved | 0.705 | — | -| random | 16384 / 131072 / 64 | 27.693 / 27.721 | 57.748 / 53.106 | pull64_interleaved | 7.473 | — | -| random | 65536 / 524288 / 1 | 19.316 / 19.240 | 5.184 / 5.854 | pull32_gpu_dag | 1.373 | — | -| clos | 800 / 320000 / 1 | 2.178 / 2.227 | 1.915 / 2.377 | frontier32_simd | 1.604 | 0.908 / 0.938 | -| clos | 800 / 320000 / 64 | 17.042 / 16.525 | 69.896 / 70.228 | pull32_gpu_dag | 8.185 | 8.296 / 7.885 | -| grid | 10000 / 39600 / 1 | 0.570 / 0.582 | 3.836 / 5.874 | pull32_interleaved | 3.378 | 0.089 / 0.088 | -| grid | 10000 / 39600 / 8 | 0.834 / 0.823 | 5.953 / 5.979 | frontier32_gpu_dag | 4.150 | 0.286 / 0.312 | -| chain | 2048 / 2047 / 1 | 0.017 / 0.017 | 4.834 / 4.908 | old_group_parallel_dag | 4.847 | — | -| hub | 4096 / 12286 / 64 | 2.438 / 2.338 | 28.559 / 28.801 | frontier32_simd | 3.680 | — | -| random | 4096 / 131072 / 1 | 1.590 / 1.518 | 0.906 / 1.040 | frontier32_simd | 0.547 | — | -| random | 4096 / 131072 / 64 | 12.302 / 12.817 | 31.930 / 37.791 | pull32_gpu_dag | 2.051 | — | - -## All optimized variants - -No variants omitted. Columns: full wall / distance wall / device work, ms. Device work includes DAG kernels where selected. Edge visits count SSSP adjacency entries, excluding bucket vertex scans, queue management and DAG extraction. - -### ('random', '1024', '8192', '1') - -| Variant | Full / distance / device ms | Edge visits | Rounds | Host waits | 64-bit fallback | -|---|---:|---:|---:|---:|---| -| old_pull_parallel_dag | 1.423 / 1.376 / 0.424 | 131072 | 16 | 2 | 0 | -| old_group_parallel_dag | 0.834 / 0.819 / 0.680 | 106496 | 13 | 1 | 0 | -| pull64_barrier | 0.659 / 0.646 / 0.391 | 131072 | 16 | 2 | 0 | -| pull64_interleaved | 0.656 / 0.643 / 0.375 | 131072 | 16 | 2 | 0 | -| pull32_interleaved | 0.599 / 0.586 / 0.338 | 131072 | 16 | 2 | 0 | -| pull32_gpu_dag | 0.960 / 0.604 / 0.406 | 131072 | 16 | 4 | 0 | -| frontier32_vertex | 0.924 / 0.910 / 0.634 | 21088 | 16 | 2 | 0 | -| frontier32_simd | 0.661 / 0.647 / 0.380 | 20272 | 16 | 2 | 0 | -| frontier32_gpu_dag | 1.003 / 0.652 / 0.452 | 20384 | 16 | 4 | 0 | -| bucket32_d4 | 1.895 / 1.881 / 1.276 | 8232 | 32 | 4 | 0 | -| bucket32_d16 | 1.422 / 1.407 / 0.920 | 9336 | 24 | 3 | 0 | -| bucket32_d64 | 0.954 / 0.939 / 0.654 | 19264 | 16 | 2 | 0 | -### ('random', '1024', '8192', '64') - -| Variant | Full / distance / device ms | Edge visits | Rounds | Host waits | 64-bit fallback | -|---|---:|---:|---:|---:|---| -| old_pull_parallel_dag | 1.973 / 1.703 / 1.236 | 12582912 | 24 | 3 | 0 | -| old_group_parallel_dag | 0.853 / 0.566 / 0.380 | 7217152 | 17 | 1 | 0 | -| pull64_barrier | 1.223 / 0.949 / 0.470 | 12582912 | 24 | 3 | 0 | -| pull64_interleaved | 0.940 / 0.671 / 0.268 | 12582912 | 24 | 3 | 0 | -| pull32_interleaved | 0.863 / 0.595 / 0.197 | 12582912 | 24 | 3 | 0 | -| pull32_gpu_dag | 0.998 / 0.579 / 0.199 | 12582912 | 24 | 5 | 0 | -| frontier32_vertex | 0.870 / 0.629 / 0.239 | 1289824 | 16 | 2 | 0 | -| frontier32_simd | 1.028 / 0.796 / 0.456 | 1202328 | 16 | 2 | 0 | -| frontier32_gpu_dag | 1.197 / 0.890 / 0.509 | 1201208 | 16 | 4 | 0 | -| bucket32_d4 | 5.929 / 5.638 / 4.211 | 528528 | 56 | 7 | 0 | -| bucket32_d16 | 1.624 / 1.347 / 0.712 | 601456 | 32 | 4 | 0 | -| bucket32_d64 | 1.403 / 1.126 / 0.671 | 1154720 | 24 | 3 | 0 | -### ('clos', '200', '20000', '64') - -| Variant | Full / distance / device ms | Edge visits | Rounds | Host waits | 64-bit fallback | -|---|---:|---:|---:|---:|---| -| old_pull_parallel_dag | 2.137 / 1.514 / 1.016 | 10240000 | 8 | 1 | 0 | -| old_group_parallel_dag | 1.461 / 0.833 / 0.303 | 3840000 | 3 | 1 | 0 | -| pull64_barrier | 2.072 / 1.524 / 1.000 | 10240000 | 8 | 1 | 0 | -| pull64_interleaved | 1.903 / 1.332 / 0.757 | 10240000 | 8 | 1 | 0 | -| pull32_interleaved | 1.893 / 1.311 / 0.688 | 10240000 | 8 | 1 | 0 | -| pull32_gpu_dag | 2.092 / 1.226 / 1.013 | 10240000 | 8 | 3 | 0 | -| frontier32_vertex | 2.382 / 1.557 / 0.961 | 1280000 | 8 | 1 | 0 | -| frontier32_simd | 1.552 / 0.924 / 0.318 | 1280000 | 8 | 1 | 0 | -| frontier32_gpu_dag | 1.979 / 0.982 / 0.837 | 1280000 | 8 | 3 | 0 | -| bucket32_d4 | 1.572 / 1.025 / 0.481 | 1280000 | 8 | 1 | 0 | -| bucket32_d16 | 1.739 / 1.166 / 0.492 | 1280000 | 8 | 1 | 0 | -| bucket32_d64 | 1.693 / 1.072 / 0.490 | 1280000 | 8 | 1 | 0 | -### ('grid', '1024', '3968', '1') - -| Variant | Full / distance / device ms | Edge visits | Rounds | Host waits | 64-bit fallback | -|---|---:|---:|---:|---:|---| -| old_pull_parallel_dag | 1.747 / 1.739 / 0.651 | 253952 | 64 | 8 | 0 | -| old_group_parallel_dag | 0.366 / 0.359 / 0.227 | 249984 | 63 | 1 | 0 | -| pull64_barrier | 1.119 / 1.111 / 0.177 | 253952 | 64 | 8 | 0 | -| pull64_interleaved | 1.144 / 1.136 / 0.177 | 253952 | 64 | 8 | 0 | -| pull32_interleaved | 1.089 / 1.081 / 0.164 | 253952 | 64 | 8 | 0 | -| pull32_gpu_dag | 1.271 / 0.918 / 0.173 | 253952 | 64 | 10 | 0 | -| frontier32_vertex | 1.313 / 1.305 / 0.528 | 3968 | 64 | 8 | 0 | -| frontier32_simd | 1.180 / 1.172 / 0.396 | 3968 | 64 | 8 | 0 | -| frontier32_gpu_dag | 1.394 / 1.178 / 0.407 | 3968 | 64 | 10 | 0 | -| bucket32_d4 | 1.450 / 1.441 / 0.637 | 3968 | 64 | 8 | 0 | -| bucket32_d16 | 1.451 / 1.443 / 0.636 | 3968 | 64 | 8 | 0 | -| bucket32_d64 | 1.466 / 1.459 / 0.637 | 3968 | 64 | 8 | 0 | -### ('hub', '1024', '3070', '1') - -| Variant | Full / distance / device ms | Edge visits | Rounds | Host waits | 64-bit fallback | -|---|---:|---:|---:|---:|---| -| old_pull_parallel_dag | 6.046 / 6.030 / 5.544 | 98240 | 32 | 4 | 0 | -| old_group_parallel_dag | 4.888 / 4.866 / 4.721 | 95170 | 31 | 1 | 0 | -| pull64_barrier | 5.016 / 4.988 / 4.313 | 98240 | 32 | 4 | 0 | -| pull64_interleaved | 4.986 / 4.962 / 4.321 | 98240 | 32 | 4 | 0 | -| pull32_interleaved | 4.397 / 4.374 / 3.684 | 98240 | 32 | 4 | 0 | -| pull32_gpu_dag | 5.116 / 4.358 / 4.101 | 98240 | 32 | 6 | 0 | -| frontier32_vertex | 1.436 / 1.428 / 0.852 | 3128 | 32 | 4 | 0 | -| frontier32_simd | 0.784 / 0.776 / 0.233 | 3128 | 32 | 4 | 0 | -| frontier32_gpu_dag | 1.467 / 0.770 / 0.649 | 3128 | 32 | 6 | 0 | -| bucket32_d4 | 0.869 / 0.860 / 0.345 | 3100 | 32 | 4 | 0 | -| bucket32_d16 | 0.851 / 0.843 / 0.337 | 3124 | 32 | 4 | 0 | -| bucket32_d64 | 0.886 / 0.878 / 0.327 | 3128 | 32 | 4 | 0 | -### ('random_masked_int64_reverse', '1024', '8192', '8') - -| Variant | Full / distance / device ms | Edge visits | Rounds | Host waits | 64-bit fallback | -|---|---:|---:|---:|---:|---| -| old_pull_parallel_dag | 0.232 / 0.167 / 0.032 | 524288 | 8 | 1 | 0 | -| old_group_parallel_dag | 0.253 / 0.194 / 0.053 | 368640 | 8 | 1 | 0 | -| pull64_barrier | 0.248 / 0.190 / 0.029 | 524288 | 8 | 1 | 0 | -| pull64_interleaved | 0.264 / 0.197 / 0.029 | 524288 | 8 | 1 | 0 | -| pull32_interleaved | 0.252 / 0.198 / 0.029 | 524288 | 8 | 1 | 1 | -| pull32_gpu_dag | 0.499 / 0.174 / 0.049 | 524288 | 8 | 3 | 1 | -| frontier32_vertex | 0.238 / 0.188 / 0.029 | 524288 | 8 | 1 | 1 | -| frontier32_simd | 0.256 / 0.192 / 0.029 | 524288 | 8 | 1 | 1 | -| frontier32_gpu_dag | 0.504 / 0.184 / 0.047 | 524288 | 8 | 3 | 1 | -| bucket32_d4 | 0.243 / 0.198 / 0.029 | 524288 | 8 | 1 | 1 | -| bucket32_d16 | 0.224 / 0.178 / 0.029 | 524288 | 8 | 1 | 1 | -| bucket32_d64 | 0.261 / 0.199 / 0.029 | 524288 | 8 | 1 | 1 | -### ('random', '4096', '32768', '256') - -| Variant | Full / distance / device ms | Edge visits | Rounds | Host waits | 64-bit fallback | -|---|---:|---:|---:|---:|---| -| old_pull_parallel_dag | 14.955 / 11.144 / 9.933 | 201326592 | 24 | 3 | 0 | -| old_group_parallel_dag | 11.270 / 7.608 / 6.915 | 136544256 | 20 | 1 | 0 | -| pull64_barrier | 13.565 / 9.762 / 8.501 | 201326592 | 24 | 3 | 0 | -| pull64_interleaved | 7.003 / 3.340 / 2.081 | 201326592 | 24 | 3 | 0 | -| pull32_interleaved | 9.000 / 5.200 / 3.525 | 201326592 | 24 | 3 | 0 | -| pull32_gpu_dag | 8.790 / 6.950 / 7.134 | 201326592 | 24 | 5 | 0 | -| frontier32_vertex | 7.936 / 4.094 / 2.380 | 19766184 | 24 | 3 | 0 | -| frontier32_simd | 11.324 / 7.659 / 6.414 | 20599968 | 24 | 3 | 0 | -| frontier32_gpu_dag | 9.247 / 7.874 / 7.025 | 20610776 | 24 | 5 | 0 | -| bucket32_d4 | 16.328 / 12.614 / 10.131 | 8454072 | 72 | 9 | 0 | -| bucket32_d16 | 13.121 / 9.301 / 7.673 | 9728592 | 48 | 6 | 0 | -| bucket32_d64 | 14.196 / 9.623 / 8.264 | 18345256 | 24 | 3 | 0 | -### ('random', '16384', '131072', '1') - -| Variant | Full / distance / device ms | Edge visits | Rounds | Host waits | 64-bit fallback | -|---|---:|---:|---:|---:|---| -| old_pull_parallel_dag | 0.964 / 0.659 / 0.244 | 3145728 | 24 | 3 | 0 | -| old_group_parallel_dag | 5.290 / 4.968 / 4.819 | 2359296 | 18 | 1 | 0 | -| pull64_barrier | 0.761 / 0.571 / 0.164 | 3145728 | 24 | 3 | 0 | -| pull64_interleaved | 0.828 / 0.564 / 0.164 | 3145728 | 24 | 3 | 0 | -| pull32_interleaved | 0.705 / 0.521 / 0.137 | 3145728 | 24 | 3 | 0 | -| pull32_gpu_dag | 0.880 / 0.513 / 0.158 | 3145728 | 24 | 5 | 0 | -| frontier32_vertex | 0.832 / 0.619 / 0.258 | 377056 | 24 | 3 | 0 | -| frontier32_simd | 0.806 / 0.593 / 0.237 | 335680 | 24 | 3 | 0 | -| frontier32_gpu_dag | 0.983 / 0.612 / 0.269 | 334824 | 24 | 5 | 0 | -| bucket32_d4 | 1.833 / 1.546 / 0.654 | 132016 | 56 | 7 | 0 | -| bucket32_d16 | 1.148 / 0.917 / 0.398 | 148256 | 32 | 4 | 0 | -| bucket32_d64 | 0.937 / 0.712 / 0.340 | 268728 | 24 | 3 | 0 | -### ('random', '16384', '131072', '64') - -| Variant | Full / distance / device ms | Edge visits | Rounds | Host waits | 64-bit fallback | -|---|---:|---:|---:|---:|---| -| old_pull_parallel_dag | 16.913 / 12.651 / 11.412 | 201326592 | 24 | 3 | 0 | -| old_group_parallel_dag | 13.239 / 9.052 / 8.276 | 158203904 | 22 | 1 | 0 | -| pull64_barrier | 15.959 / 11.386 / 10.305 | 201326592 | 24 | 3 | 0 | -| pull64_interleaved | 7.473 / 3.322 / 1.950 | 201326592 | 24 | 3 | 0 | -| pull32_interleaved | 8.710 / 3.948 / 2.593 | 201326592 | 24 | 3 | 0 | -| pull32_gpu_dag | 8.810 / 7.334 / 7.227 | 201326592 | 24 | 5 | 0 | -| frontier32_vertex | 10.144 / 5.760 / 3.640 | 21296680 | 24 | 3 | 0 | -| frontier32_simd | 12.189 / 7.941 / 6.799 | 22006672 | 24 | 3 | 0 | -| frontier32_gpu_dag | 9.203 / 7.809 / 7.471 | 21985376 | 24 | 5 | 0 | -| bucket32_d4 | 16.825 / 12.607 / 10.280 | 8451400 | 72 | 9 | 0 | -| bucket32_d16 | 13.809 / 9.687 / 7.926 | 9572312 | 48 | 6 | 0 | -| bucket32_d64 | 12.602 / 8.439 / 7.400 | 17413440 | 24 | 3 | 0 | -### ('random', '65536', '524288', '1') - -| Variant | Full / distance / device ms | Edge visits | Rounds | Host waits | 64-bit fallback | -|---|---:|---:|---:|---:|---| -| old_pull_parallel_dag | 3.545 / 2.038 / 1.061 | 12582912 | 24 | 3 | 0 | -| old_group_parallel_dag | 30.358 / 28.978 / 28.314 | 11534336 | 22 | 1 | 0 | -| pull64_barrier | 3.163 / 1.729 / 0.758 | 12582912 | 24 | 3 | 0 | -| pull64_interleaved | 3.048 / 1.519 / 0.703 | 12582912 | 24 | 3 | 0 | -| pull32_interleaved | 2.913 / 1.338 / 0.502 | 12582912 | 24 | 3 | 0 | -| pull32_gpu_dag | 1.373 / 0.882 / 0.571 | 12582912 | 24 | 5 | 0 | -| frontier32_vertex | 2.737 / 1.259 / 0.435 | 1734632 | 24 | 3 | 0 | -| frontier32_simd | 3.045 / 1.576 / 0.640 | 1561768 | 24 | 3 | 0 | -| frontier32_gpu_dag | 1.461 / 1.045 / 0.686 | 1558160 | 24 | 5 | 0 | -| bucket32_d4 | 4.357 / 2.761 / 1.174 | 528256 | 64 | 8 | 0 | -| bucket32_d16 | 3.481 / 2.047 / 0.836 | 599256 | 40 | 5 | 0 | -| bucket32_d64 | 3.187 / 1.681 / 0.677 | 1050376 | 24 | 3 | 0 | -### ('clos', '800', '320000', '1') - -| Variant | Full / distance / device ms | Edge visits | Rounds | Host waits | 64-bit fallback | -|---|---:|---:|---:|---:|---| -| old_pull_parallel_dag | 2.142 / 1.366 / 0.744 | 2560000 | 8 | 1 | 0 | -| old_group_parallel_dag | 2.326 / 1.577 / 0.905 | 960000 | 3 | 1 | 0 | -| pull64_barrier | 2.017 / 1.253 / 0.699 | 2560000 | 8 | 1 | 0 | -| pull64_interleaved | 2.265 / 1.493 / 0.878 | 2560000 | 8 | 1 | 0 | -| pull32_interleaved | 2.801 / 1.980 / 1.363 | 2560000 | 8 | 1 | 0 | -| pull32_gpu_dag | 2.133 / 1.256 / 0.994 | 2560000 | 8 | 3 | 0 | -| frontier32_vertex | 2.376 / 1.575 / 0.933 | 320000 | 8 | 1 | 0 | -| frontier32_simd | 1.604 / 0.852 / 0.361 | 320000 | 8 | 1 | 0 | -| frontier32_gpu_dag | 1.714 / 0.824 / 0.606 | 320000 | 8 | 3 | 0 | -| bucket32_d4 | 1.660 / 0.873 / 0.446 | 320000 | 8 | 1 | 0 | -| bucket32_d16 | 1.716 / 0.904 / 0.444 | 320000 | 8 | 1 | 0 | -| bucket32_d64 | 1.698 / 0.939 / 0.453 | 320000 | 8 | 1 | 0 | -### ('clos', '800', '320000', '64') - -| Variant | Full / distance / device ms | Edge visits | Rounds | Host waits | 64-bit fallback | -|---|---:|---:|---:|---:|---| -| old_pull_parallel_dag | 26.735 / 19.418 / 18.854 | 163840000 | 8 | 1 | 0 | -| old_group_parallel_dag | 12.637 / 5.915 / 5.412 | 61440000 | 3 | 1 | 0 | -| pull64_barrier | 24.737 / 18.165 / 17.725 | 163840000 | 8 | 1 | 0 | -| pull64_interleaved | 13.270 / 6.122 / 5.405 | 163840000 | 8 | 1 | 0 | -| pull32_interleaved | 10.983 / 4.274 / 3.647 | 163840000 | 8 | 1 | 0 | -| pull32_gpu_dag | 8.185 / 4.308 / 6.164 | 163840000 | 8 | 3 | 0 | -| frontier32_vertex | 14.231 / 7.148 / 6.877 | 20480000 | 8 | 1 | 0 | -| frontier32_simd | 9.324 / 2.065 / 1.458 | 20480000 | 8 | 1 | 0 | -| frontier32_gpu_dag | 15.944 / 2.089 / 14.063 | 20480000 | 8 | 3 | 0 | -| bucket32_d4 | 10.000 / 2.529 / 2.040 | 20480000 | 8 | 1 | 0 | -| bucket32_d16 | 9.610 / 2.183 / 1.863 | 20480000 | 8 | 1 | 0 | -| bucket32_d64 | 9.988 / 2.684 / 2.106 | 20480000 | 8 | 1 | 0 | -### ('grid', '10000', '39600', '1') - -| Variant | Full / distance / device ms | Edge visits | Rounds | Host waits | 64-bit fallback | -|---|---:|---:|---:|---:|---| -| old_pull_parallel_dag | 4.013 / 3.947 / 0.706 | 7920000 | 200 | 25 | 0 | -| old_group_parallel_dag | 8.014 / 7.948 / 7.804 | 7880400 | 199 | 1 | 0 | -| pull64_barrier | 4.120 / 3.996 / 0.682 | 7920000 | 200 | 25 | 0 | -| pull64_interleaved | 3.963 / 3.894 / 0.656 | 7920000 | 200 | 25 | 0 | -| pull32_interleaved | 3.378 / 3.314 / 0.604 | 7920000 | 200 | 25 | 0 | -| pull32_gpu_dag | 3.492 / 3.086 / 0.616 | 7920000 | 200 | 27 | 0 | -| frontier32_vertex | 4.642 / 4.568 / 1.859 | 39600 | 200 | 25 | 0 | -| frontier32_simd | 4.040 / 3.931 / 1.337 | 39600 | 200 | 25 | 0 | -| frontier32_gpu_dag | 4.283 / 3.993 / 1.302 | 39600 | 200 | 27 | 0 | -| bucket32_d4 | 4.910 / 4.826 / 2.156 | 39600 | 200 | 25 | 0 | -| bucket32_d16 | 5.336 / 5.270 / 2.375 | 39600 | 200 | 25 | 0 | -| bucket32_d64 | 5.193 / 5.129 / 2.313 | 39600 | 200 | 25 | 0 | -### ('grid', '10000', '39600', '8') - -| Variant | Full / distance / device ms | Edge visits | Rounds | Host waits | 64-bit fallback | -|---|---:|---:|---:|---:|---| -| old_pull_parallel_dag | 4.347 / 4.145 / 1.436 | 63360000 | 200 | 25 | 0 | -| old_group_parallel_dag | 8.292 / 8.082 / 7.572 | 51480000 | 199 | 1 | 0 | -| pull64_barrier | 4.480 / 4.280 / 1.391 | 63360000 | 200 | 25 | 0 | -| pull64_interleaved | 4.328 / 4.167 / 1.330 | 63360000 | 200 | 25 | 0 | -| pull32_interleaved | 4.287 / 4.032 / 1.368 | 63360000 | 200 | 25 | 0 | -| pull32_gpu_dag | 4.436 / 4.109 / 1.562 | 63360000 | 200 | 27 | 0 | -| frontier32_vertex | 5.906 / 5.657 / 2.502 | 316800 | 200 | 25 | 0 | -| frontier32_simd | 4.526 / 4.257 / 1.461 | 316800 | 200 | 25 | 0 | -| frontier32_gpu_dag | 4.150 / 3.853 / 1.370 | 316800 | 200 | 27 | 0 | -| bucket32_d4 | 7.676 / 7.433 / 3.707 | 316800 | 200 | 25 | 0 | -| bucket32_d16 | 7.596 / 7.402 / 3.678 | 316800 | 200 | 25 | 0 | -| bucket32_d64 | 7.603 / 7.391 / 3.721 | 316800 | 200 | 25 | 0 | -### ('chain', '2048', '2047', '1') - -| Variant | Full / distance / device ms | Edge visits | Rounds | Host waits | 64-bit fallback | -|---|---:|---:|---:|---:|---| -| old_pull_parallel_dag | 30.065 / 30.058 / 4.364 | 4192256 | 2048 | 256 | 0 | -| old_group_parallel_dag | 4.847 / 4.825 / 4.696 | 4192256 | 2048 | 1 | 0 | -| pull64_barrier | 28.539 / 28.532 / 4.712 | 4192256 | 2048 | 256 | 0 | -| pull64_interleaved | 32.552 / 32.545 / 6.166 | 4192256 | 2048 | 256 | 0 | -| pull32_interleaved | 33.313 / 33.304 / 7.668 | 4192256 | 2048 | 256 | 0 | -| pull32_gpu_dag | 30.619 / 30.342 / 4.891 | 4192256 | 2048 | 258 | 0 | -| frontier32_vertex | 37.679 / 37.671 / 12.262 | 2047 | 2048 | 256 | 0 | -| frontier32_simd | 41.050 / 41.041 / 15.764 | 2047 | 2048 | 256 | 0 | -| frontier32_gpu_dag | 40.148 / 39.758 / 13.087 | 2047 | 2048 | 258 | 0 | -| bucket32_d4 | 49.001 / 48.994 / 21.208 | 2047 | 2056 | 257 | 0 | -| bucket32_d16 | 48.755 / 48.747 / 21.149 | 2047 | 2056 | 257 | 0 | -| bucket32_d64 | 48.401 / 48.395 / 21.022 | 2047 | 2056 | 257 | 0 | -### ('hub', '4096', '12286', '64') - -| Variant | Full / distance / device ms | Edge visits | Rounds | Host waits | 64-bit fallback | -|---|---:|---:|---:|---:|---| -| old_pull_parallel_dag | 32.652 / 32.266 / 30.925 | 31452160 | 40 | 5 | 0 | -| old_group_parallel_dag | 26.147 / 25.761 / 25.032 | 27176632 | 38 | 1 | 0 | -| pull64_barrier | 25.410 / 25.029 / 23.756 | 31452160 | 40 | 5 | 0 | -| pull64_interleaved | 33.830 / 33.457 / 31.908 | 31452160 | 40 | 5 | 0 | -| pull32_interleaved | 29.085 / 28.621 / 27.390 | 31452160 | 40 | 5 | 0 | -| pull32_gpu_dag | 31.331 / 28.778 / 29.382 | 31452160 | 40 | 7 | 0 | -| frontier32_vertex | 20.164 / 19.779 / 18.439 | 1847854 | 40 | 5 | 0 | -| frontier32_simd | 3.680 / 3.294 / 1.977 | 1683322 | 40 | 5 | 0 | -| frontier32_gpu_dag | 5.438 / 3.358 / 3.575 | 1683332 | 40 | 7 | 0 | -| bucket32_d4 | 5.120 / 4.740 / 3.072 | 788342 | 48 | 6 | 0 | -| bucket32_d16 | 4.911 / 4.544 / 3.014 | 1124798 | 48 | 6 | 0 | -| bucket32_d64 | 4.974 / 4.580 / 3.351 | 1929942 | 40 | 5 | 0 | -### ('random', '4096', '131072', '1') - -| Variant | Full / distance / device ms | Edge visits | Rounds | Host waits | 64-bit fallback | -|---|---:|---:|---:|---:|---| -| old_pull_parallel_dag | 0.700 / 0.521 / 0.269 | 2097152 | 16 | 2 | 0 | -| old_group_parallel_dag | 2.531 / 2.326 / 2.178 | 1572864 | 12 | 1 | 0 | -| pull64_barrier | 0.670 / 0.484 / 0.244 | 2097152 | 16 | 2 | 0 | -| pull64_interleaved | 0.708 / 0.538 / 0.266 | 2097152 | 16 | 2 | 0 | -| pull32_interleaved | 0.603 / 0.418 / 0.180 | 2097152 | 16 | 2 | 0 | -| pull32_gpu_dag | 0.828 / 0.458 / 0.237 | 2097152 | 16 | 4 | 0 | -| frontier32_vertex | 0.827 / 0.638 / 0.358 | 421728 | 16 | 2 | 0 | -| frontier32_simd | 0.547 / 0.381 / 0.130 | 385248 | 16 | 2 | 0 | -| frontier32_gpu_dag | 0.790 / 0.404 / 0.188 | 385888 | 16 | 4 | 0 | -| bucket32_d4 | 0.878 / 0.693 / 0.279 | 138720 | 24 | 3 | 0 | -| bucket32_d16 | 0.602 / 0.418 / 0.176 | 177024 | 16 | 2 | 0 | -| bucket32_d64 | 0.676 / 0.489 / 0.213 | 379328 | 16 | 2 | 0 | -### ('random', '4096', '131072', '64') - -| Variant | Full / distance / device ms | Edge visits | Rounds | Host waits | 64-bit fallback | -|---|---:|---:|---:|---:|---| -| old_pull_parallel_dag | 9.211 / 7.184 / 6.254 | 134217728 | 16 | 2 | 0 | -| old_group_parallel_dag | 6.357 / 3.995 / 3.300 | 105644032 | 15 | 1 | 0 | -| pull64_barrier | 11.066 / 9.020 / 8.132 | 134217728 | 16 | 2 | 0 | -| pull64_interleaved | 4.039 / 1.981 / 1.106 | 134217728 | 16 | 2 | 0 | -| pull32_interleaved | 3.814 / 1.788 / 1.031 | 134217728 | 16 | 2 | 0 | -| pull32_gpu_dag | 2.051 / 1.482 / 0.861 | 134217728 | 16 | 4 | 0 | -| frontier32_vertex | 5.418 / 3.315 / 2.452 | 22442464 | 16 | 2 | 0 | -| frontier32_simd | 5.078 / 2.991 / 1.970 | 22729248 | 16 | 2 | 0 | -| frontier32_gpu_dag | 4.086 / 2.828 / 2.683 | 22826080 | 16 | 4 | 0 | -| bucket32_d4 | 4.731 / 2.704 / 1.615 | 8805184 | 24 | 3 | 0 | -| bucket32_d16 | 4.926 / 2.956 / 1.859 | 12113536 | 24 | 3 | 0 | -| bucket32_d64 | 5.330 / 3.310 / 2.396 | 23278880 | 16 | 2 | 0 | diff --git a/dev/research/metal_pathfinding/optimization/results/aba/time-base-a1.txt b/dev/research/metal_pathfinding/optimization/results/aba/time-base-a1.txt deleted file mode 100644 index a1f056c..0000000 --- a/dev/research/metal_pathfinding/optimization/results/aba/time-base-a1.txt +++ /dev/null @@ -1,2 +0,0 @@ -2026-09-26T23:29:22Z -2026-09-26T23:29:35Z diff --git a/dev/research/metal_pathfinding/optimization/results/aba/time-base-a2.txt b/dev/research/metal_pathfinding/optimization/results/aba/time-base-a2.txt deleted file mode 100644 index c203e1a..0000000 --- a/dev/research/metal_pathfinding/optimization/results/aba/time-base-a2.txt +++ /dev/null @@ -1,2 +0,0 @@ -2026-09-26T23:30:30Z -2026-09-26T23:30:43Z diff --git a/dev/research/metal_pathfinding/optimization/results/aba/time-cpu-a1.txt b/dev/research/metal_pathfinding/optimization/results/aba/time-cpu-a1.txt deleted file mode 100644 index 96d1d9c..0000000 --- a/dev/research/metal_pathfinding/optimization/results/aba/time-cpu-a1.txt +++ /dev/null @@ -1,2 +0,0 @@ -2026-09-26T23:29:10Z -2026-09-26T23:29:20Z diff --git a/dev/research/metal_pathfinding/optimization/results/aba/time-cpu-a2.txt b/dev/research/metal_pathfinding/optimization/results/aba/time-cpu-a2.txt deleted file mode 100644 index aa2e187..0000000 --- a/dev/research/metal_pathfinding/optimization/results/aba/time-cpu-a2.txt +++ /dev/null @@ -1,2 +0,0 @@ -2026-09-26T23:30:45Z -2026-09-26T23:30:56Z diff --git a/dev/research/metal_pathfinding/optimization/results/aba/time-optimized-b.txt b/dev/research/metal_pathfinding/optimization/results/aba/time-optimized-b.txt deleted file mode 100644 index 9700df1..0000000 --- a/dev/research/metal_pathfinding/optimization/results/aba/time-optimized-b.txt +++ /dev/null @@ -1,2 +0,0 @@ -2026-09-26T23:29:37Z -2026-09-26T23:30:29Z diff --git a/dev/research/metal_pathfinding/optimization/results/audit.json b/dev/research/metal_pathfinding/optimization/results/audit.json deleted file mode 100644 index 99f87b6..0000000 --- a/dev/research/metal_pathfinding/optimization/results/audit.json +++ /dev/null @@ -1,66 +0,0 @@ -{ - "correctness-final.csv": { - "rows": 336, - "checked_query_results": 11760 - }, - "stress.csv": { - "rows": 28, - "checked_query_results": 39424 - }, - "correctness-sanitized.csv": { - "rows": 336, - "checked_query_results": 11760 - }, - "stress-sanitized.csv": { - "rows": 28, - "checked_query_results": 8960 - }, - "aba": { - "phase_rows": { - "cpu-a1": 48, - "base-a1": 36, - "optimized-b": 216, - "base-a2": 36, - "cpu-a2": 48 - }, - "checked_query_results": 124704 - }, - "total_checked_query_results": 290192, - "source_sha256": { - "dev/metal_pathfinding/experiment.mm": "1da9ff77bd2ad97e95e951454821b25005859c6f75c27a3c56d925e5fc99f6fc", - "dev/metal_pathfinding/sssp.metal": 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"a1": 14, - "b": 216, - "a2": 14 - }, - "checked_query_results": 88056 - }, - "repository_checks": { - "workspace_check": "passed: rebuilt extension, lint, types, 170 C++ and 465 Python tests", - "sanitize_test": "170 C++ tests passed", - "ci": "not run", - "production_tracked_changes": false, - "commit_created": false, - "pushed": false - } -} diff --git a/dev/research/metal_pathfinding/optimization/results/correctness-final-stderr.txt b/dev/research/metal_pathfinding/optimization/results/correctness-final-stderr.txt deleted file mode 100644 index 5d79ff7..0000000 --- a/dev/research/metal_pathfinding/optimization/results/correctness-final-stderr.txt +++ /dev/null @@ -1 +0,0 @@ -device=Apple M4 Max setup_ms=51.344 execution_width=32 diff --git a/dev/research/metal_pathfinding/optimization/results/correctness-final.csv b/dev/research/metal_pathfinding/optimization/results/correctness-final.csv deleted file mode 100644 index 23c8fd2..0000000 --- a/dev/research/metal_pathfinding/optimization/results/correctness-final.csv +++ /dev/null @@ -1,337 +0,0 @@ -case,n,e,queries,method,wall_ms,distance_ms,gpu_ms,edge_visits,rounds,waits,fallback64,upload_ms,samples,correct,wall_samples_ms -random_masked_int64,40,240,8,old_pull_serial,0.295542,0.280167,0.122083,15360,8,1,0,0.093124,3,pass,0.295542;0.481375;0.254833 -random_masked_int64,40,240,8,old_group_serial,0.494583,0.487583,0.071625,9600,6,1,0,0.093124,3,pass,0.494583;0.218417;0.495042 -random_masked_int64,40,240,8,old_pull_parallel_dag,0.795000,0.716125,0.145833,15360,8,1,0,0.093124,3,pass,0.615625;0.805625;0.795000 -random_masked_int64,40,240,8,old_group_parallel_dag,0.240042,0.192250,0.068542,9600,6,1,0,0.093124,3,pass,0.227042;0.240042;0.242917 -random_masked_int64,40,240,8,pull64_barrier,0.335500,0.297875,0.112167,15360,8,1,0,0.093124,3,pass,0.354916;0.320250;0.335500 -random_masked_int64,40,240,8,pull64_interleaved,0.544875,0.511792,0.116292,15360,8,1,0,0.093124,3,pass,0.535125;0.544875;0.697958 -random_masked_int64,40,240,8,pull32_interleaved,0.321750,0.275625,0.113792,15360,8,1,1,0.093124,3,pass,0.684625;0.321750;0.294917 -random_masked_int64,40,240,8,pull32_gpu_dag,0.714125,0.310708,0.195750,15360,8,3,1,0.093124,3,pass,0.863417;0.676542;0.714125 -random_masked_int64,40,240,8,frontier32_vertex,0.313500,0.274208,0.112208,15360,8,1,1,0.093124,3,pass,0.313500;0.315958;0.307541 -random_masked_int64,40,240,8,frontier32_simd,0.448917,0.414458,0.134125,15360,8,1,1,0.093124,3,pass,0.622542;0.448917;0.341667 -random_masked_int64,40,240,8,frontier32_gpu_dag,0.730291,0.305292,0.195917,15360,8,3,1,0.093124,3,pass,0.638333;0.737416;0.730291 -random_masked_int64,40,240,8,bucket32_d4,0.335667,0.285709,0.112125,15360,8,1,1,0.093124,3,pass,0.335667;0.338542;0.313417 -random_masked_int64,40,240,8,bucket32_d16,0.346750,0.319792,0.141667,15360,8,1,1,0.093124,3,pass,0.364625;0.343333;0.346750 -random_masked_int64,40,240,8,bucket32_d64,0.295625,0.270000,0.113125,15360,8,1,1,0.093124,3,pass,0.300625;0.295625;0.295209 -random_masked,43,258,8,old_pull_serial,0.553208,0.537875,0.297833,33024,16,2,0,0.058250,3,pass,0.553208;0.532292;1.283709 -random_masked,43,258,8,old_group_serial,0.253708,0.245125,0.106625,14448,9,1,0,0.058250,3,pass,0.253708;0.254417;0.248625 -random_masked,43,258,8,old_pull_parallel_dag,0.659625,0.611375,0.315917,33024,16,2,0,0.058250,3,pass,0.659625;0.763875;0.653084 -random_masked,43,258,8,old_group_parallel_dag,0.264917,0.231916,0.105708,14448,9,1,0,0.058250,3,pass,0.279208;0.264917;0.260500 -random_masked,43,258,8,pull64_barrier,0.598083,0.582250,0.276708,33024,16,2,0,0.058250,3,pass,0.576291;0.598083;0.730833 -random_masked,43,258,8,pull64_interleaved,0.649584,0.619375,0.300167,33024,16,2,0,0.058250,3,pass,0.649584;0.693042;0.621250 -random_masked,43,258,8,pull32_interleaved,0.643791,0.610666,0.280375,33024,16,2,0,0.058250,3,pass,0.616875;1.234375;0.643791 -random_masked,43,258,8,pull32_gpu_dag,0.862916,0.498916,0.270583,33024,16,4,0,0.058250,3,pass,0.862916;0.851875;0.952791 -random_masked,43,258,8,frontier32_vertex,0.788458,0.755458,0.433333,3186,16,2,0,0.058250,3,pass,0.843375;0.745917;0.788458 -random_masked,43,258,8,frontier32_simd,0.648291,0.621291,0.322292,3186,16,2,0,0.058250,3,pass,0.648291;0.637833;0.685875 -random_masked,43,258,8,frontier32_gpu_dag,1.073125,0.610375,0.384208,3186,16,4,0,0.058250,3,pass,1.453292;1.073125;1.037708 -random_masked,43,258,8,bucket32_d4,1.775500,1.724792,1.121667,2016,32,4,0,0.058250,3,pass,1.748708;1.823084;1.775500 -random_masked,43,258,8,bucket32_d16,1.315042,1.288875,0.827166,2142,24,3,0,0.058250,3,pass,1.315042;1.332542;1.310125 -random_masked,43,258,8,bucket32_d64,0.967625,0.920750,0.555500,3096,16,2,0,0.058250,3,pass,0.967625;1.148250;0.876542 -random_masked_int64_reverse,46,276,8,old_pull_serial,0.228500,0.216209,0.095250,17664,8,1,0,0.062209,3,pass,0.227542;0.233708;0.228500 -random_masked_int64_reverse,46,276,8,old_group_serial,0.190666,0.173792,0.044500,9660,5,1,0,0.062209,3,pass,0.190666;0.191250;0.183416 -random_masked_int64_reverse,46,276,8,old_pull_parallel_dag,0.279041,0.234000,0.095750,17664,8,1,0,0.062209,3,pass,0.280542;0.277709;0.279041 -random_masked_int64_reverse,46,276,8,old_group_parallel_dag,0.215084,0.178417,0.044750,9660,5,1,0,0.062209,3,pass,0.223000;0.205708;0.215084 -random_masked_int64_reverse,46,276,8,pull64_barrier,0.297583,0.262625,0.093000,17664,8,1,0,0.062209,3,pass,0.297583;0.295959;0.299708 -random_masked_int64_reverse,46,276,8,pull64_interleaved,0.282500,0.247250,0.094750,17664,8,1,0,0.062209,3,pass,0.285875;0.282500;0.269042 -random_masked_int64_reverse,46,276,8,pull32_interleaved,0.293375,0.256125,0.095333,17664,8,1,1,0.062209,3,pass,0.276583;0.293375;0.723250 -random_masked_int64_reverse,46,276,8,pull32_gpu_dag,0.619291,0.257709,0.144750,17664,8,3,1,0.062209,3,pass,0.693292;0.619291;0.600458 -random_masked_int64_reverse,46,276,8,frontier32_vertex,0.285083,0.250750,0.092833,17664,8,1,1,0.062209,3,pass,0.279625;0.292667;0.285083 -random_masked_int64_reverse,46,276,8,frontier32_simd,0.294167,0.262416,0.094000,17664,8,1,1,0.062209,3,pass,0.294167;0.297875;0.293209 -random_masked_int64_reverse,46,276,8,frontier32_gpu_dag,0.626417,0.252917,0.144000,17664,8,3,1,0.062209,3,pass,0.626417;0.648291;0.621667 -random_masked_int64_reverse,46,276,8,bucket32_d4,0.299416,0.254583,0.092833,17664,8,1,1,0.062209,3,pass,0.299416;0.327750;0.296000 -random_masked_int64_reverse,46,276,8,bucket32_d16,0.298250,0.259125,0.093458,17664,8,1,1,0.062209,3,pass,0.298250;0.315625;0.291042 -random_masked_int64_reverse,46,276,8,bucket32_d64,0.271792,0.249875,0.093125,17664,8,1,1,0.062209,3,pass,0.302208;0.270667;0.271792 -random_masked,49,294,8,old_pull_serial,0.254500,0.245625,0.124375,18816,8,1,0,0.061041,3,pass,0.254500;0.265292;0.249375 -random_masked,49,294,8,old_group_serial,0.238708,0.229917,0.093250,14700,8,1,0,0.061041,3,pass,0.216625;0.239000;0.238708 -random_masked,49,294,8,old_pull_parallel_dag,0.299625,0.260792,0.124042,18816,8,1,0,0.061041,3,pass,0.306959;0.291250;0.299625 -random_masked,49,294,8,old_group_parallel_dag,0.266000,0.227791,0.093250,14700,8,1,0,0.061041,3,pass,0.253208;0.266000;0.305791 -random_masked,49,294,8,pull64_barrier,0.326084,0.287958,0.121875,18816,8,1,0,0.061041,3,pass,0.317208;0.333250;0.326084 -random_masked,49,294,8,pull64_interleaved,0.297000,0.266958,0.121417,18816,8,1,0,0.061041,3,pass,0.297000;0.272667;0.317333 -random_masked,49,294,8,pull32_interleaved,0.313584,0.278125,0.108625,18816,8,1,0,0.061041,3,pass,0.300375;0.947375;0.313584 -random_masked,49,294,8,pull32_gpu_dag,0.638875,0.268333,0.150750,18816,8,3,0,0.061041,3,pass,0.638875;0.636125;0.734292 -random_masked,49,294,8,frontier32_vertex,0.500083,0.467625,0.272750,3162,8,1,0,0.061041,3,pass,0.378791;0.637958;0.500083 -random_masked,49,294,8,frontier32_simd,0.368084,0.336083,0.180250,3162,8,1,0,0.061041,3,pass,0.383958;0.368084;0.357500 -random_masked,49,294,8,frontier32_gpu_dag,0.731333,0.351000,0.229584,3162,8,3,0,0.061041,3,pass,0.729833;0.842292;0.731333 -random_masked,49,294,8,bucket32_d4,1.551542,1.512250,0.792500,2022,40,5,0,0.061041,3,pass,1.533000;1.551542;1.629291 -random_masked,49,294,8,bucket32_d16,0.829375,0.768292,0.443917,2100,16,2,0,0.061041,3,pass,0.829375;0.911083;0.756209 -random_masked,49,294,8,bucket32_d64,0.655000,0.621375,0.319375,3036,16,2,0,0.061041,3,pass,0.654833;0.673291;0.655000 -random_masked_int64,52,312,8,old_pull_serial,0.206500,0.193792,0.074250,19968,8,1,0,0.089792,3,pass,0.206500;0.191000;0.219292 -random_masked_int64,52,312,8,old_group_serial,0.179167,0.169875,0.042417,12168,6,1,0,0.089792,3,pass,0.179167;0.187583;0.178459 -random_masked_int64,52,312,8,old_pull_parallel_dag,0.243125,0.207833,0.074833,19968,8,1,0,0.089792,3,pass,0.266375;0.243125;0.231208 -random_masked_int64,52,312,8,old_group_parallel_dag,0.192375,0.149375,0.033042,12168,6,1,0,0.089792,3,pass,0.201000;0.192375;0.177625 -random_masked_int64,52,312,8,pull64_barrier,0.222042,0.204000,0.054875,19968,8,1,0,0.089792,3,pass,0.222042;0.491792;0.211875 -random_masked_int64,52,312,8,pull64_interleaved,0.222875,0.206875,0.054417,19968,8,1,0,0.089792,3,pass,0.222875;0.212375;0.242667 -random_masked_int64,52,312,8,pull32_interleaved,0.243833,0.214167,0.054583,19968,8,1,1,0.089792,3,pass,0.257250;0.243833;0.235084 -random_masked_int64,52,312,8,pull32_gpu_dag,0.575083,0.218666,0.079208,19968,8,3,1,0.089792,3,pass,0.575083;0.553167;0.713500 -random_masked_int64,52,312,8,frontier32_vertex,0.236000,0.194250,0.055250,19968,8,1,1,0.089792,3,pass,0.254083;0.236000;0.205541 -random_masked_int64,52,312,8,frontier32_simd,0.231542,0.199750,0.055292,19968,8,1,1,0.089792,3,pass,0.245708;0.221708;0.231542 -random_masked_int64,52,312,8,frontier32_gpu_dag,0.565250,0.222584,0.081208,19968,8,3,1,0.089792,3,pass,0.607084;0.543250;0.565250 -random_masked_int64,52,312,8,bucket32_d4,0.274584,0.236750,0.054500,19968,8,1,1,0.089792,3,pass,0.274584;0.309834;0.267250 -random_masked_int64,52,312,8,bucket32_d16,0.244959,0.211750,0.054500,19968,8,1,1,0.089792,3,pass,0.244959;0.343625;0.226541 -random_masked_int64,52,312,8,bucket32_d64,0.229708,0.197500,0.047875,19968,8,1,1,0.089792,3,pass,0.213291;0.245875;0.229708 -random_masked_reverse,55,330,8,old_pull_serial,0.338000,0.329666,0.072125,42240,16,2,0,0.082751,3,pass,0.317459;0.338000;0.355708 -random_masked_reverse,55,330,8,old_group_serial,0.169334,0.160708,0.028000,20130,10,1,0,0.082751,3,pass,0.176292;0.169334;0.167542 -random_masked_reverse,55,330,8,old_pull_parallel_dag,0.372500,0.337959,0.062667,42240,16,2,0,0.082751,3,pass,0.413708;0.344792;0.372500 -random_masked_reverse,55,330,8,old_group_parallel_dag,0.196875,0.169125,0.024583,20130,10,1,0,0.082751,3,pass,0.206500;0.196875;0.193250 -random_masked_reverse,55,330,8,pull64_barrier,0.346083,0.325542,0.070250,42240,16,2,0,0.082751,3,pass,0.388542;0.346083;0.334208 -random_masked_reverse,55,330,8,pull64_interleaved,0.415000,0.376500,0.071708,42240,16,2,0,0.082751,3,pass,0.341334;0.415000;0.416750 -random_masked_reverse,55,330,8,pull32_interleaved,0.405333,0.352750,0.066125,42240,16,2,0,0.082751,3,pass,0.380375;0.405333;0.424959 -random_masked_reverse,55,330,8,pull32_gpu_dag,0.734834,0.375000,0.080750,42240,16,4,0,0.082751,3,pass,0.734834;0.758000;0.605875 -random_masked_reverse,55,330,8,frontier32_vertex,0.431750,0.409208,0.162250,3691,16,2,0,0.082751,3,pass,0.431750;0.427458;0.671500 -random_masked_reverse,55,330,8,frontier32_simd,0.458458,0.428500,0.120208,3691,16,2,0,0.082751,3,pass,0.432041;0.458458;0.473417 -random_masked_reverse,55,330,8,frontier32_gpu_dag,0.739958,0.433042,0.141708,3691,16,4,0,0.082751,3,pass,0.736334;0.961208;0.739958 -random_masked_reverse,55,330,8,bucket32_d4,1.017375,0.993458,0.364375,2455,32,4,0,0.082751,3,pass,0.925125;1.071250;1.017375 -random_masked_reverse,55,330,8,bucket32_d16,0.769625,0.744958,0.284083,2603,24,3,0,0.082751,3,pass,0.842375;0.769625;0.766042 -random_masked_reverse,55,330,8,bucket32_d64,0.488208,0.452667,0.167083,3605,16,2,0,0.082751,3,pass,0.490125;0.477292;0.488208 -random_masked_int64,58,348,8,old_pull_serial,0.186084,0.176958,0.033542,22272,8,1,0,0.072333,3,pass,0.190292;0.174250;0.186084 -random_masked_int64,58,348,8,old_group_serial,0.157625,0.148708,0.015125,13920,5,1,0,0.072333,3,pass,0.157917;0.148042;0.157625 -random_masked_int64,58,348,8,old_pull_parallel_dag,0.212583,0.181000,0.033375,22272,8,1,0,0.072333,3,pass,0.213917;0.209500;0.212583 -random_masked_int64,58,348,8,old_group_parallel_dag,0.189875,0.154458,0.014375,13920,5,1,0,0.072333,3,pass,0.191875;0.189875;0.188333 -random_masked_int64,58,348,8,pull64_barrier,0.226833,0.202958,0.031875,22272,8,1,0,0.072333,3,pass,0.246250;0.226833;0.221792 -random_masked_int64,58,348,8,pull64_interleaved,0.213041,0.177209,0.026792,22272,8,1,0,0.072333,3,pass,0.213041;0.217834;0.200459 -random_masked_int64,58,348,8,pull32_interleaved,0.200709,0.168250,0.027750,22272,8,1,1,0.072333,3,pass,0.200709;0.182541;0.231917 -random_masked_int64,58,348,8,pull32_gpu_dag,0.526250,0.199792,0.040250,22272,8,3,1,0.072333,3,pass,0.526250;0.513500;0.537750 -random_masked_int64,58,348,8,frontier32_vertex,0.257041,0.224708,0.031792,22272,8,1,1,0.072333,3,pass,0.253250;0.403083;0.257041 -random_masked_int64,58,348,8,frontier32_simd,0.213667,0.187792,0.027917,22272,8,1,1,0.072333,3,pass,0.222208;0.213667;0.197166 -random_masked_int64,58,348,8,frontier32_gpu_dag,0.481458,0.177333,0.041917,22272,8,3,1,0.072333,3,pass,0.487875;0.465292;0.481458 -random_masked_int64,58,348,8,bucket32_d4,0.295167,0.220041,0.026875,22272,8,1,1,0.072333,3,pass,0.184125;0.295167;0.303708 -random_masked_int64,58,348,8,bucket32_d16,0.229375,0.204917,0.030375,22272,8,1,1,0.072333,3,pass,0.228000;0.242292;0.229375 -random_masked_int64,58,348,8,bucket32_d64,0.200666,0.176000,0.026750,22272,8,1,1,0.072333,3,pass,0.218250;0.200666;0.199292 -random_masked,61,366,8,old_pull_serial,0.310042,0.300292,0.062833,46848,16,2,0,0.073625,3,pass,0.313791;0.309125;0.310042 -random_masked,61,366,8,old_group_serial,0.150208,0.140417,0.024625,23424,9,1,0,0.073625,3,pass,0.150208;0.148459;0.150875 -random_masked,61,366,8,old_pull_parallel_dag,0.322833,0.293125,0.062792,46848,16,2,0,0.073625,3,pass,0.328042;0.322833;0.313875 -random_masked,61,366,8,old_group_parallel_dag,0.171500,0.134458,0.024500,23424,9,1,0,0.073625,3,pass,0.177917;0.171500;0.163208 -random_masked,61,366,8,pull64_barrier,0.358458,0.323834,0.059333,46848,16,2,0,0.073625,3,pass,0.358667;0.351625;0.358458 -random_masked,61,366,8,pull64_interleaved,0.379750,0.353000,0.059208,46848,16,2,0,0.073625,3,pass,0.348709;0.379750;0.465916 -random_masked,61,366,8,pull32_interleaved,0.335250,0.308541,0.053625,46848,16,2,0,0.073625,3,pass,0.381041;0.330875;0.335250 -random_masked,61,366,8,pull32_gpu_dag,0.624791,0.326000,0.066625,46848,16,4,0,0.073625,3,pass,0.640166;0.619250;0.624791 -random_masked,61,366,8,frontier32_vertex,0.449708,0.419250,0.120375,4776,16,2,0,0.073625,3,pass,0.423417;0.489625;0.449708 -random_masked,61,366,8,frontier32_simd,0.393417,0.365250,0.089542,4776,16,2,0,0.073625,3,pass,0.509167;0.391625;0.393417 -random_masked,61,366,8,frontier32_gpu_dag,0.645000,0.351333,0.103791,4776,16,4,0,0.073625,3,pass,0.630083;0.659083;0.645000 -random_masked,61,366,8,bucket32_d4,1.162167,1.124208,0.384250,2760,40,5,0,0.073625,3,pass,1.162167;1.262625;1.139458 -random_masked,61,366,8,bucket32_d16,0.787250,0.722958,0.258000,2952,24,3,0,0.073625,3,pass,0.778125;0.842833;0.787250 -random_masked,61,366,8,bucket32_d64,0.569916,0.544083,0.182708,4596,16,2,0,0.073625,3,pass,0.532041;0.579167;0.569916 -random_masked_int64_reverse,64,384,8,old_pull_serial,0.166875,0.154833,0.024000,24576,8,1,0,0.073876,3,pass,0.160750;0.168750;0.166875 -random_masked_int64_reverse,64,384,8,old_group_serial,0.143667,0.133167,0.010917,13440,5,1,0,0.073876,3,pass,0.132459;0.143667;0.160542 -random_masked_int64_reverse,64,384,8,old_pull_parallel_dag,0.195500,0.166708,0.025875,24576,8,1,0,0.073876,3,pass,0.195500;0.202250;0.182875 -random_masked_int64_reverse,64,384,8,old_group_parallel_dag,0.197833,0.165125,0.010875,13440,5,1,0,0.073876,3,pass,0.207542;0.197833;0.190083 -random_masked_int64_reverse,64,384,8,pull64_barrier,0.197875,0.171750,0.022333,24576,8,1,0,0.073876,3,pass,0.190333;0.197875;0.244042 -random_masked_int64_reverse,64,384,8,pull64_interleaved,0.210333,0.168459,0.023500,24576,8,1,0,0.073876,3,pass,0.195041;0.229458;0.210333 -random_masked_int64_reverse,64,384,8,pull32_interleaved,0.197958,0.161917,0.023250,24576,8,1,1,0.073876,3,pass,0.197958;0.244083;0.178875 -random_masked_int64_reverse,64,384,8,pull32_gpu_dag,0.470333,0.161750,0.036292,24576,8,3,1,0.073876,3,pass,0.434792;0.470333;0.542959 -random_masked_int64_reverse,64,384,8,frontier32_vertex,0.222916,0.183333,0.022167,24576,8,1,1,0.073876,3,pass,0.210125;0.222916;0.240000 -random_masked_int64_reverse,64,384,8,frontier32_simd,0.227083,0.192000,0.026750,24576,8,1,1,0.073876,3,pass,0.227083;0.206833;0.236125 -random_masked_int64_reverse,64,384,8,frontier32_gpu_dag,0.524542,0.194917,0.041250,24576,8,3,1,0.073876,3,pass,0.537542;0.524542;0.522500 -random_masked_int64_reverse,64,384,8,bucket32_d4,0.219417,0.188417,0.026792,24576,8,1,1,0.073876,3,pass,0.219709;0.209292;0.219417 -random_masked_int64_reverse,64,384,8,bucket32_d16,0.205000,0.173625,0.023542,24576,8,1,1,0.073876,3,pass,0.205958;0.188167;0.205000 -random_masked_int64_reverse,64,384,8,bucket32_d64,0.224459,0.186917,0.024042,24576,8,1,1,0.073876,3,pass,0.224459;0.237625;0.203416 -random_masked,67,402,8,old_pull_serial,0.183167,0.171459,0.031000,25728,8,1,0,0.070917,3,pass,0.183167;0.187583;0.149917 -random_masked,67,402,8,old_group_serial,0.163500,0.152916,0.019458,24522,8,1,0,0.070917,3,pass,0.169500;0.160041;0.163500 -random_masked,67,402,8,old_pull_parallel_dag,0.199125,0.163417,0.028625,25728,8,1,0,0.070917,3,pass,0.224500;0.193625;0.199125 -random_masked,67,402,8,old_group_parallel_dag,0.186667,0.147834,0.019375,24522,8,1,0,0.070917,3,pass,0.186667;0.197125;0.172125 -random_masked,67,402,8,pull64_barrier,0.198917,0.174375,0.028000,25728,8,1,0,0.070917,3,pass,0.191625;0.198917;0.212833 -random_masked,67,402,8,pull64_interleaved,0.232125,0.185708,0.028458,25728,8,1,0,0.070917,3,pass,0.232125;0.275166;0.208959 -random_masked,67,402,8,pull32_interleaved,0.204667,0.174459,0.025583,25728,8,1,0,0.070917,3,pass,0.204667;0.213750;0.193791 -random_masked,67,402,8,pull32_gpu_dag,0.524541,0.201084,0.042500,25728,8,3,0,0.070917,3,pass,0.495500;0.524541;0.547167 -random_masked,67,402,8,frontier32_vertex,0.300584,0.270209,0.085750,5034,8,1,0,0.070917,3,pass,0.279500;0.300584;0.315542 -random_masked,67,402,8,frontier32_simd,0.254167,0.222250,0.057750,5004,8,1,0,0.070917,3,pass,0.214041;0.262958;0.254167 -random_masked,67,402,8,frontier32_gpu_dag,0.585250,0.250708,0.073500,5004,8,3,0,0.070917,3,pass,0.631083;0.585250;0.584417 -random_masked,67,402,8,bucket32_d4,0.964708,0.943833,0.351208,3120,32,4,0,0.070917,3,pass,0.964708;1.042791;0.926875 -random_masked,67,402,8,bucket32_d16,0.701542,0.673792,0.229458,3360,24,3,0,0.070917,3,pass,0.640625;0.701542;0.830541 -random_masked,67,402,8,bucket32_d64,0.527750,0.500917,0.165750,4908,16,2,0,0.070917,3,pass,0.527750;0.535917;0.492334 -random_masked_int64,70,420,8,old_pull_serial,0.163584,0.150708,0.031875,26880,8,1,0,0.089500,3,pass,0.180000;0.163584;0.157584 -random_masked_int64,70,420,8,old_group_serial,0.162792,0.151000,0.017500,15960,6,1,0,0.089500,3,pass,0.163125;0.162792;0.162417 -random_masked_int64,70,420,8,old_pull_parallel_dag,0.171458,0.148125,0.030958,26880,8,1,0,0.089500,3,pass,0.194000;0.171458;0.168500 -random_masked_int64,70,420,8,old_group_parallel_dag,0.167375,0.141542,0.017333,15960,6,1,0,0.089500,3,pass,0.167375;0.164500;0.169584 -random_masked_int64,70,420,8,pull64_barrier,0.247750,0.208084,0.033500,26880,8,1,0,0.089500,3,pass,0.247750;0.268042;0.236500 -random_masked_int64,70,420,8,pull64_interleaved,0.273250,0.241708,0.033458,26880,8,1,0,0.089500,3,pass,0.235541;0.282666;0.273250 -random_masked_int64,70,420,8,pull32_interleaved,0.241916,0.210000,0.033333,26880,8,1,1,0.089500,3,pass,0.234667;0.248334;0.241916 -random_masked_int64,70,420,8,pull32_gpu_dag,0.480542,0.172791,0.044000,26880,8,3,1,0.089500,3,pass,0.473417;0.480542;0.484875 -random_masked_int64,70,420,8,frontier32_vertex,0.243625,0.210542,0.033250,26880,8,1,1,0.089500,3,pass,0.220084;0.243625;0.263000 -random_masked_int64,70,420,8,frontier32_simd,0.219750,0.186459,0.030250,26880,8,1,1,0.089500,3,pass,0.265709;0.219750;0.198250 -random_masked_int64,70,420,8,frontier32_gpu_dag,0.506583,0.176333,0.045000,26880,8,3,1,0.089500,3,pass,0.506583;0.680959;0.472792 -random_masked_int64,70,420,8,bucket32_d4,0.243417,0.209584,0.029958,26880,8,1,1,0.089500,3,pass,0.243417;0.216875;0.244250 -random_masked_int64,70,420,8,bucket32_d16,0.198583,0.181292,0.031042,26880,8,1,1,0.089500,3,pass,0.207375;0.197958;0.198583 -random_masked_int64,70,420,8,bucket32_d64,0.218833,0.186375,0.031000,26880,8,1,1,0.089500,3,pass,0.218833;0.184583;0.227958 -random_masked_reverse,73,438,8,old_pull_serial,0.353750,0.341459,0.049209,56064,16,2,0,0.079167,3,pass,0.334792;0.494625;0.353750 -random_masked_reverse,73,438,8,old_group_serial,0.164125,0.153167,0.016917,30222,10,1,0,0.079167,3,pass,0.164125;0.169250;0.141750 -random_masked_reverse,73,438,8,old_pull_parallel_dag,0.366125,0.336333,0.054167,56064,16,2,0,0.079167,3,pass,0.320625;0.372000;0.366125 -random_masked_reverse,73,438,8,old_group_parallel_dag,0.186167,0.149833,0.017000,30222,10,1,0,0.079167,3,pass,0.196000;0.186167;0.170000 -random_masked_reverse,73,438,8,pull64_barrier,0.349334,0.315625,0.050958,56064,16,2,0,0.079167,3,pass,0.349334;0.371750;0.330417 -random_masked_reverse,73,438,8,pull64_interleaved,0.416208,0.388333,0.053083,56064,16,2,0,0.079167,3,pass,0.417041;0.416208;0.370042 -random_masked_reverse,73,438,8,pull32_interleaved,0.332625,0.313167,0.046292,56064,16,2,0,0.079167,3,pass,0.332625;0.380083;0.331584 -random_masked_reverse,73,438,8,pull32_gpu_dag,0.607125,0.322291,0.059750,56064,16,4,0,0.079167,3,pass,0.662083;0.607125;0.600292 -random_masked_reverse,73,438,8,frontier32_vertex,0.536875,0.491708,0.140375,5335,16,2,0,0.079167,3,pass,0.435709;0.544209;0.536875 -random_masked_reverse,73,438,8,frontier32_simd,0.399875,0.367125,0.093417,5335,16,2,0,0.079167,3,pass,0.417625;0.399875;0.374584 -random_masked_reverse,73,438,8,frontier32_gpu_dag,0.691875,0.401375,0.122375,5335,16,4,0,0.079167,3,pass,0.773583;0.691875;0.684083 -random_masked_reverse,73,438,8,bucket32_d4,0.993583,0.963916,0.359833,3179,32,4,0,0.079167,3,pass,0.953958;1.084750;0.993583 -random_masked_reverse,73,438,8,bucket32_d16,0.700041,0.663333,0.241959,3402,24,3,0,0.079167,3,pass,0.694917;0.700041;0.735375 -random_masked_reverse,73,438,8,bucket32_d64,0.539166,0.510458,0.181750,4984,16,2,0,0.079167,3,pass,0.512000;0.539166;0.542250 -boundary_700000000,6,10,6,old_pull_serial,0.152792,0.151916,0.015792,360,6,1,0,0.054751,3,pass,0.145750;0.152792;0.156417 -boundary_700000000,6,10,6,old_group_serial,0.138625,0.137875,0.007125,160,5,1,0,0.054751,3,pass,0.138625;0.138750;0.136042 -boundary_700000000,6,10,6,old_pull_parallel_dag,0.187500,0.157584,0.015625,360,6,1,0,0.054751,3,pass,0.187500;0.197583;0.167875 -boundary_700000000,6,10,6,old_group_parallel_dag,0.151583,0.121458,0.007083,160,5,1,0,0.054751,3,pass,0.151583;0.139625;0.169125 -boundary_700000000,6,10,6,pull64_barrier,0.184625,0.154042,0.015334,360,6,1,0,0.054751,3,pass,0.184625;0.178167;0.186042 -boundary_700000000,6,10,6,pull64_interleaved,0.189209,0.159333,0.016083,360,6,1,0,0.054751,3,pass,0.196167;0.189209;0.158250 -boundary_700000000,6,10,6,pull32_interleaved,0.219166,0.182416,0.017333,360,6,1,0,0.054751,3,pass,0.219166;0.276250;0.218333 -boundary_700000000,6,10,6,pull32_gpu_dag,0.541500,0.188541,0.028417,360,6,3,0,0.054751,3,pass,0.514666;0.643125;0.541500 -boundary_700000000,6,10,6,frontier32_vertex,0.250125,0.224375,0.052750,24,8,1,0,0.054751,3,pass,0.250125;0.258792;0.241292 -boundary_700000000,6,10,6,frontier32_simd,0.221708,0.195667,0.045625,24,8,1,0,0.054751,3,pass,0.212667;0.221708;0.243708 -boundary_700000000,6,10,6,frontier32_gpu_dag,0.532167,0.232834,0.061667,24,8,3,0,0.054751,3,pass,0.653500;0.532167;0.525250 -boundary_700000000,6,10,6,bucket32_d4,0.293459,0.266959,0.086500,24,8,1,0,0.054751,3,pass,0.289375;0.293459;0.297000 -boundary_700000000,6,10,6,bucket32_d16,0.323750,0.289917,0.087583,24,8,1,0,0.054751,3,pass,0.299417;0.375250;0.323750 -boundary_700000000,6,10,6,bucket32_d64,0.254333,0.230333,0.071125,24,8,1,0,0.054751,3,pass,0.254333;0.283417;0.251959 -boundary_700000000_masked,6,10,6,old_pull_serial,0.124792,0.124250,0.013125,360,6,1,0,0.045292,3,pass,0.122000;0.124792;0.278875 -boundary_700000000_masked,6,10,6,old_group_serial,0.112750,0.112125,0.004875,80,2,1,0,0.045292,3,pass,0.109500;0.112750;0.113500 -boundary_700000000_masked,6,10,6,old_pull_parallel_dag,0.199625,0.166042,0.015417,360,6,1,0,0.045292,3,pass,0.199625;0.252958;0.197333 -boundary_700000000_masked,6,10,6,old_group_parallel_dag,0.175334,0.133792,0.005000,80,2,1,0,0.045292,3,pass,0.175334;0.179041;0.153834 -boundary_700000000_masked,6,10,6,pull64_barrier,0.219209,0.191416,0.018875,360,6,1,0,0.045292,3,pass,0.219209;0.204625;0.222500 -boundary_700000000_masked,6,10,6,pull64_interleaved,0.225750,0.189542,0.018792,360,6,1,0,0.045292,3,pass,0.244375;0.225750;0.214625 -boundary_700000000_masked,6,10,6,pull32_interleaved,0.216959,0.192125,0.017458,360,6,1,0,0.045292,3,pass,0.216959;0.203875;0.235125 -boundary_700000000_masked,6,10,6,pull32_gpu_dag,0.451458,0.157875,0.025000,360,6,3,0,0.045292,3,pass,0.451458;0.471209;0.438125 -boundary_700000000_masked,6,10,6,frontier32_vertex,0.264417,0.223584,0.051167,12,8,1,0,0.045292,3,pass,0.264417;0.269000;0.252000 -boundary_700000000_masked,6,10,6,frontier32_simd,0.247542,0.221250,0.049125,12,8,1,0,0.045292,3,pass,0.253834;0.247542;0.234625 -boundary_700000000_masked,6,10,6,frontier32_gpu_dag,0.555208,0.226250,0.060417,12,8,3,0,0.045292,3,pass,0.555208;0.564708;0.530958 -boundary_700000000_masked,6,10,6,bucket32_d4,0.290042,0.257416,0.076167,12,8,1,0,0.045292,3,pass,0.290042;0.301375;0.262833 -boundary_700000000_masked,6,10,6,bucket32_d16,0.283500,0.245375,0.081125,12,8,1,0,0.045292,3,pass,0.293917;0.283500;0.276709 -boundary_700000000_masked,6,10,6,bucket32_d64,0.258958,0.222125,0.072375,12,8,1,0,0.045292,3,pass,0.263625;0.258958;0.229209 -boundary_700000000_reverse,6,10,6,old_pull_serial,0.143708,0.142041,0.014792,360,6,1,0,0.076417,3,pass,0.145041;0.143708;0.135000 -boundary_700000000_reverse,6,10,6,old_group_serial,0.126375,0.125542,0.007250,170,5,1,0,0.076417,3,pass,0.120667;0.134209;0.126375 -boundary_700000000_reverse,6,10,6,old_pull_parallel_dag,0.196500,0.159708,0.015375,360,6,1,0,0.076417,3,pass,0.231667;0.189625;0.196500 -boundary_700000000_reverse,6,10,6,old_group_parallel_dag,0.166208,0.132709,0.007333,170,5,1,0,0.076417,3,pass,0.164292;0.168125;0.166208 -boundary_700000000_reverse,6,10,6,pull64_barrier,0.246166,0.217583,0.017875,360,6,1,0,0.076417,3,pass,0.246166;0.223709;0.378167 -boundary_700000000_reverse,6,10,6,pull64_interleaved,0.175291,0.138500,0.014750,360,6,1,0,0.076417,3,pass,0.175291;0.158209;0.179625 -boundary_700000000_reverse,6,10,6,pull32_interleaved,0.176000,0.151166,0.014750,360,6,1,0,0.076417,3,pass,0.164792;0.176000;0.199208 -boundary_700000000_reverse,6,10,6,pull32_gpu_dag,0.473250,0.161208,0.024334,360,6,3,0,0.076417,3,pass,0.453500;0.529333;0.473250 -boundary_700000000_reverse,6,10,6,frontier32_vertex,0.244417,0.205125,0.053750,24,8,1,0,0.076417,3,pass,0.228750;0.244417;0.257000 -boundary_700000000_reverse,6,10,6,frontier32_simd,0.226667,0.198792,0.044042,24,8,1,0,0.076417,3,pass,0.268875;0.226667;0.218209 -boundary_700000000_reverse,6,10,6,frontier32_gpu_dag,0.500625,0.202250,0.053417,24,8,3,0,0.076417,3,pass,0.641458;0.500625;0.485167 -boundary_700000000_reverse,6,10,6,bucket32_d4,0.240000,0.218208,0.070667,24,8,1,0,0.076417,3,pass,0.233708;0.243291;0.240000 -boundary_700000000_reverse,6,10,6,bucket32_d16,0.247750,0.214792,0.070625,24,8,1,0,0.076417,3,pass,0.303042;0.247750;0.223167 -boundary_700000000_reverse,6,10,6,bucket32_d64,0.284000,0.258334,0.084417,24,8,1,0,0.076417,3,pass,0.284000;0.295583;0.280750 -boundary_700000000_reverse_masked,6,10,6,old_pull_serial,0.132916,0.132292,0.013125,360,6,1,0,0.047751,3,pass,0.134042;0.128667;0.132916 -boundary_700000000_reverse_masked,6,10,6,old_group_serial,0.121541,0.120916,0.004792,90,2,1,0,0.047751,3,pass,0.121541;0.119292;0.124375 -boundary_700000000_reverse_masked,6,10,6,old_pull_parallel_dag,0.168125,0.138584,0.013250,360,6,1,0,0.047751,3,pass,0.168833;0.168125;0.167500 -boundary_700000000_reverse_masked,6,10,6,old_group_parallel_dag,0.141583,0.111166,0.004458,90,2,1,0,0.047751,3,pass,0.160375;0.138833;0.141583 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-boundary_9007199254740993_reverse,6,10,6,bucket32_d16,0.195875,0.165959,0.015583,360,6,1,1,0.049749,3,pass,0.202792;0.195875;0.184833 -boundary_9007199254740993_reverse,6,10,6,bucket32_d64,0.203959,0.175333,0.015542,360,6,1,1,0.049749,3,pass,0.217291;0.203959;0.190542 -boundary_9007199254740993_reverse_masked,6,10,6,old_pull_serial,0.133000,0.132334,0.013000,360,6,1,0,0.041167,3,pass,0.133000;0.133125;0.128958 -boundary_9007199254740993_reverse_masked,6,10,6,old_group_serial,0.119083,0.118500,0.004750,90,2,1,0,0.041167,3,pass,0.119083;0.119792;0.114042 -boundary_9007199254740993_reverse_masked,6,10,6,old_pull_parallel_dag,0.159833,0.137375,0.013125,360,6,1,0,0.041167,3,pass,0.159833;0.146084;0.166167 -boundary_9007199254740993_reverse_masked,6,10,6,old_group_parallel_dag,0.142542,0.113667,0.004625,90,2,1,0,0.041167,3,pass,0.142542;0.134041;0.152000 -boundary_9007199254740993_reverse_masked,6,10,6,pull64_barrier,0.203000,0.176166,0.014958,360,6,1,0,0.041167,3,pass,0.203000;0.223417;0.194500 -boundary_9007199254740993_reverse_masked,6,10,6,pull64_interleaved,0.216167,0.192375,0.018458,360,6,1,0,0.041167,3,pass,0.216167;0.239167;0.214833 -boundary_9007199254740993_reverse_masked,6,10,6,pull32_interleaved,0.228000,0.199625,0.018500,360,6,1,1,0.041167,3,pass,0.212208;0.251917;0.228000 -boundary_9007199254740993_reverse_masked,6,10,6,pull32_gpu_dag,0.477958,0.185875,0.028208,360,6,3,1,0.041167,3,pass,0.513500;0.477958;0.449834 -boundary_9007199254740993_reverse_masked,6,10,6,frontier32_vertex,0.200500,0.164375,0.015625,360,6,1,1,0.041167,3,pass,0.200500;0.201750;0.197334 -boundary_9007199254740993_reverse_masked,6,10,6,frontier32_simd,0.206292,0.181375,0.015500,360,6,1,1,0.041167,3,pass,0.177125;0.209125;0.206292 -boundary_9007199254740993_reverse_masked,6,10,6,frontier32_gpu_dag,0.460708,0.166541,0.024458,360,6,3,1,0.041167,3,pass,0.446750;0.543625;0.460708 -boundary_9007199254740993_reverse_masked,6,10,6,bucket32_d4,0.198792,0.168667,0.015292,360,6,1,1,0.041167,3,pass,0.195500;0.385292;0.198792 -boundary_9007199254740993_reverse_masked,6,10,6,bucket32_d16,0.194750,0.169750,0.018125,360,6,1,1,0.041167,3,pass,0.194750;0.219708;0.190083 -boundary_9007199254740993_reverse_masked,6,10,6,bucket32_d64,0.185584,0.163667,0.015417,360,6,1,1,0.041167,3,pass,0.196542;0.185584;0.179292 diff --git a/dev/research/metal_pathfinding/optimization/results/correctness-sanitized-stderr.txt b/dev/research/metal_pathfinding/optimization/results/correctness-sanitized-stderr.txt deleted file mode 100644 index d582a21..0000000 --- a/dev/research/metal_pathfinding/optimization/results/correctness-sanitized-stderr.txt +++ /dev/null @@ -1,3 +0,0 @@ -2026-09-27 00:31:08.125 optimized-sanitize[19832:38715213] Metal API Validation Enabled -2026-09-27 00:31:08.125 optimized-sanitize[19832:38715213] Metal GPU Validation Enabled -device=Apple M4 Max setup_ms=39.7833 execution_width=32 diff --git a/dev/research/metal_pathfinding/optimization/results/correctness-sanitized.csv b/dev/research/metal_pathfinding/optimization/results/correctness-sanitized.csv deleted file mode 100644 index 4837679..0000000 --- a/dev/research/metal_pathfinding/optimization/results/correctness-sanitized.csv +++ /dev/null @@ -1,337 +0,0 @@ -case,n,e,queries,method,wall_ms,distance_ms,gpu_ms,edge_visits,rounds,waits,fallback64,upload_ms,samples,correct,wall_samples_ms -random_masked_int64,40,240,8,old_pull_serial,1.305000,1.251917,0.388084,15360,8,1,0,0.187500,3,pass,1.305000;1.505917;1.293750 -random_masked_int64,40,240,8,old_group_serial,0.662375,0.612584,0.239000,9600,6,1,0,0.187500,3,pass,0.709584;0.649000;0.662375 -random_masked_int64,40,240,8,old_pull_parallel_dag,1.278583,1.221584,0.392333,15360,8,1,0,0.187500,3,pass,1.278583;1.620833;0.898625 -random_masked_int64,40,240,8,old_group_parallel_dag,0.944375,0.883166,0.242375,9600,6,1,0,0.187500,3,pass,0.684041;0.944375;0.968250 -random_masked_int64,40,240,8,pull64_barrier,0.858417,0.809750,0.387417,15360,8,1,0,0.187500,3,pass,0.840584;0.940000;0.858417 -random_masked_int64,40,240,8,pull64_interleaved,0.916834,0.887542,0.383708,15360,8,1,0,0.187500,3,pass,0.980791;0.914417;0.916834 -random_masked_int64,40,240,8,pull32_interleaved,0.893708,0.818250,0.384458,15360,8,1,1,0.187500,3,pass,0.893708;0.939958;0.780333 -random_masked_int64,40,240,8,pull32_gpu_dag,1.693708,0.810209,0.543750,15360,8,3,1,0.187500,3,pass,1.801291;1.693708;1.610209 -random_masked_int64,40,240,8,frontier32_vertex,0.870416,0.832084,0.388417,15360,8,1,1,0.187500,3,pass,0.866417;0.870416;1.194333 -random_masked_int64,40,240,8,frontier32_simd,0.861208,0.819958,0.387375,15360,8,1,1,0.187500,3,pass,0.861208;0.842833;0.864708 -random_masked_int64,40,240,8,frontier32_gpu_dag,1.861958,0.874417,0.545708,15360,8,3,1,0.187500,3,pass,1.861958;1.889208;1.675625 -random_masked_int64,40,240,8,bucket32_d4,0.833750,0.785333,0.387375,15360,8,1,1,0.187500,3,pass,0.830167;0.833750;0.892917 -random_masked_int64,40,240,8,bucket32_d16,0.863917,0.836792,0.387875,15360,8,1,1,0.187500,3,pass,0.863917;0.800167;1.445083 -random_masked_int64,40,240,8,bucket32_d64,0.807500,0.786333,0.388625,15360,8,1,1,0.187500,3,pass,0.807500;0.789000;0.919250 -random_masked,43,258,8,old_pull_serial,1.816417,1.765916,0.864583,33024,16,2,0,0.134667,3,pass,1.891250;1.752917;1.816417 -random_masked,43,258,8,old_group_serial,0.745500,0.697542,0.388875,14448,9,1,0,0.134667,3,pass,0.798208;0.745500;0.744750 -random_masked,43,258,8,old_pull_parallel_dag,1.871250,1.797750,0.864750,33024,16,2,0,0.134667,3,pass,1.871250;1.811917;1.984583 -random_masked,43,258,8,old_group_parallel_dag,0.810250,0.755792,0.389375,14448,9,1,0,0.134667,3,pass,0.793417;0.927500;0.810250 -random_masked,43,258,8,pull64_barrier,1.677125,1.634167,0.874458,33024,16,2,0,0.134667,3,pass,1.700375;1.677125;1.629541 -random_masked,43,258,8,pull64_interleaved,1.780833,1.706875,0.849500,33024,16,2,0,0.134667,3,pass,1.780833;2.399292;1.724625 -random_masked,43,258,8,pull32_interleaved,1.692917,1.629125,0.832417,33024,16,2,0,0.134667,3,pass,1.668875;1.946625;1.692917 -random_masked,43,258,8,pull32_gpu_dag,2.853875,1.804708,1.005667,33024,16,4,0,0.134667,3,pass,2.853875;2.712750;3.286375 -random_masked,43,258,8,frontier32_vertex,2.068750,2.032708,1.006875,3186,16,2,0,0.134667,3,pass,2.099875;2.068750;2.005750 -random_masked,43,258,8,frontier32_simd,1.752541,1.680541,0.715792,3186,16,2,0,0.134667,3,pass,1.767250;1.705959;1.752541 -random_masked,43,258,8,frontier32_gpu_dag,2.701125,1.739500,0.889792,3186,16,4,0,0.134667,3,pass,2.713208;2.701125;2.674958 -random_masked,43,258,8,bucket32_d4,5.472583,5.439167,2.785792,2016,32,4,0,0.134667,3,pass,5.472583;5.632459;5.401875 -random_masked,43,258,8,bucket32_d16,4.053875,4.000750,1.943625,2142,24,3,0,0.134667,3,pass,4.177917;4.053875;3.912167 -random_masked,43,258,8,bucket32_d64,2.552333,2.496084,1.264875,3096,16,2,0,0.134667,3,pass,2.517542;2.552333;2.737708 -random_masked_int64_reverse,46,276,8,old_pull_serial,0.725666,0.680958,0.277125,17664,8,1,0,0.114291,3,pass,0.725666;0.723708;0.774292 -random_masked_int64_reverse,46,276,8,old_group_serial,0.499333,0.453375,0.139292,9660,5,1,0,0.114291,3,pass,0.503500;0.499333;0.497209 -random_masked_int64_reverse,46,276,8,old_pull_parallel_dag,0.768667,0.727833,0.273125,17664,8,1,0,0.114291,3,pass,0.756125;0.768667;0.845458 -random_masked_int64_reverse,46,276,8,old_group_parallel_dag,0.537541,0.473708,0.139583,9660,5,1,0,0.114291,3,pass,0.488792;0.605750;0.537541 -random_masked_int64_reverse,46,276,8,pull64_barrier,0.699666,0.659833,0.279792,17664,8,1,0,0.114291,3,pass,0.690500;0.699666;0.770750 -random_masked_int64_reverse,46,276,8,pull64_interleaved,0.795000,0.759666,0.276500,17664,8,1,0,0.114291,3,pass,0.673833;0.795000;0.807875 -random_masked_int64_reverse,46,276,8,pull32_interleaved,0.701542,0.669667,0.277500,17664,8,1,1,0.114291,3,pass,0.738458;0.699833;0.701542 -random_masked_int64_reverse,46,276,8,pull32_gpu_dag,1.643583,0.757125,0.432958,17664,8,3,1,0.114291,3,pass,1.528334;1.643583;2.293166 -random_masked_int64_reverse,46,276,8,frontier32_vertex,0.812042,0.783500,0.278917,17664,8,1,1,0.114291,3,pass,0.789375;0.812042;0.827167 -random_masked_int64_reverse,46,276,8,frontier32_simd,0.686250,0.659958,0.278958,17664,8,1,1,0.114291,3,pass,0.769750;0.686250;0.677625 -random_masked_int64_reverse,46,276,8,frontier32_gpu_dag,1.673041,0.716709,0.444458,17664,8,3,1,0.114291,3,pass,1.672209;1.686333;1.673041 -random_masked_int64_reverse,46,276,8,bucket32_d4,0.763750,0.711875,0.279542,17664,8,1,1,0.114291,3,pass,0.850292;0.763750;0.711584 -random_masked_int64_reverse,46,276,8,bucket32_d16,0.714417,0.681666,0.279375,17664,8,1,1,0.114291,3,pass,0.730958;0.714417;0.696417 -random_masked_int64_reverse,46,276,8,bucket32_d64,0.819333,0.792500,0.287583,17664,8,1,1,0.114291,3,pass,0.708167;0.862708;0.819333 -random_masked,49,294,8,old_pull_serial,0.912166,0.849334,0.399792,18816,8,1,0,0.131500,3,pass,0.895625;0.912166;0.972667 -random_masked,49,294,8,old_group_serial,0.707958,0.650833,0.334708,14700,8,1,0,0.131500,3,pass,0.695959;0.707958;0.813875 -random_masked,49,294,8,old_pull_parallel_dag,0.953958,0.891208,0.400417,18816,8,1,0,0.131500,3,pass,0.953958;0.925708;0.999541 -random_masked,49,294,8,old_group_parallel_dag,0.732625,0.681541,0.336041,14700,8,1,0,0.131500,3,pass,0.840042;0.732625;0.710167 -random_masked,49,294,8,pull64_barrier,0.980833,0.928208,0.411917,18816,8,1,0,0.131500,3,pass,0.980833;1.019542;0.956458 -random_masked,49,294,8,pull64_interleaved,0.907834,0.873709,0.406750,18816,8,1,0,0.131500,3,pass,0.907834;0.824334;0.919709 -random_masked,49,294,8,pull32_interleaved,0.880542,0.835917,0.400792,18816,8,1,0,0.131500,3,pass,0.926958;0.865916;0.880542 -random_masked,49,294,8,pull32_gpu_dag,1.848041,0.831584,0.555000,18816,8,3,0,0.131500,3,pass,1.851708;1.848041;1.821375 -random_masked,49,294,8,frontier32_vertex,1.280584,1.250875,0.722167,3162,8,1,0,0.131500,3,pass,1.280584;1.279417;1.340833 -random_masked,49,294,8,frontier32_simd,1.044291,1.005875,0.445125,3162,8,1,0,0.131500,3,pass,1.044291;1.055583;1.007334 -random_masked,49,294,8,frontier32_gpu_dag,1.994708,1.010000,0.611417,3162,8,3,0,0.131500,3,pass,1.994708;1.904583;2.033125 -random_masked,49,294,8,bucket32_d4,6.611250,6.579000,3.411958,2022,40,5,0,0.131500,3,pass,6.611250;6.410583;6.744250 -random_masked,49,294,8,bucket32_d16,2.816417,2.782209,1.379792,2100,16,2,0,0.131500,3,pass,2.816417;2.825666;2.779209 -random_masked,49,294,8,bucket32_d64,2.587125,2.546291,1.261875,3042,16,2,0,0.131500,3,pass,2.662292;2.528083;2.587125 -random_masked_int64,52,312,8,old_pull_serial,1.008375,0.936208,0.431125,19968,8,1,0,0.130084,3,pass,0.977584;1.008375;1.090209 -random_masked_int64,52,312,8,old_group_serial,0.734125,0.678209,0.273083,12168,6,1,0,0.130084,3,pass,0.734125;0.675416;0.818375 -random_masked_int64,52,312,8,old_pull_parallel_dag,1.063833,0.981458,0.435875,19968,8,1,0,0.130084,3,pass,1.069209;1.063833;0.975292 -random_masked_int64,52,312,8,old_group_parallel_dag,0.686000,0.634333,0.273375,12168,6,1,0,0.130084,3,pass,0.686000;0.677208;0.706125 -random_masked_int64,52,312,8,pull64_barrier,0.988333,0.939583,0.442167,19968,8,1,0,0.130084,3,pass,1.042667;0.988333;0.958750 -random_masked_int64,52,312,8,pull64_interleaved,0.941458,0.907416,0.431375,19968,8,1,0,0.130084,3,pass,0.995000;0.941458;0.899333 -random_masked_int64,52,312,8,pull32_interleaved,0.905667,0.842833,0.432833,19968,8,1,1,0.130084,3,pass,0.884083;0.963625;0.905667 -random_masked_int64,52,312,8,pull32_gpu_dag,1.744917,0.859709,0.600709,19968,8,3,1,0.130084,3,pass,1.744917;1.952834;1.730417 -random_masked_int64,52,312,8,frontier32_vertex,0.942875,0.908416,0.443208,19968,8,1,1,0.130084,3,pass,1.126625;0.942875;0.903625 -random_masked_int64,52,312,8,frontier32_simd,0.930000,0.893125,0.444292,19968,8,1,1,0.130084,3,pass,1.035125;0.900375;0.930000 -random_masked_int64,52,312,8,frontier32_gpu_dag,1.817958,0.863041,0.621125,19968,8,3,1,0.130084,3,pass,1.817958;1.958042;1.713334 -random_masked_int64,52,312,8,bucket32_d4,1.009750,0.944959,0.444292,19968,8,1,1,0.130084,3,pass,1.009750;1.031416;0.967042 -random_masked_int64,52,312,8,bucket32_d16,0.990000,0.950875,0.441375,19968,8,1,1,0.130084,3,pass,0.946166;1.003458;0.990000 -random_masked_int64,52,312,8,bucket32_d64,0.956208,0.909084,0.444125,19968,8,1,1,0.130084,3,pass,0.956208;1.163417;0.916875 -random_masked_reverse,55,330,8,old_pull_serial,1.468792,1.411000,0.547750,42240,16,2,0,0.145874,3,pass,1.547333;1.468792;1.416917 -random_masked_reverse,55,330,8,old_group_serial,0.628292,0.555000,0.250792,20130,10,1,0,0.145874,3,pass,0.604167;0.628292;0.647167 -random_masked_reverse,55,330,8,old_pull_parallel_dag,1.589875,1.536666,0.563625,42240,16,2,0,0.145874,3,pass,1.558250;1.589875;1.648709 -random_masked_reverse,55,330,8,old_group_parallel_dag,0.655500,0.609875,0.254042,20130,10,1,0,0.145874,3,pass,0.655500;0.684291;0.620666 -random_masked_reverse,55,330,8,pull64_barrier,1.385209,1.349834,0.555958,42240,16,2,0,0.145874,3,pass,1.370375;1.420375;1.385209 -random_masked_reverse,55,330,8,pull64_interleaved,1.376791,1.336750,0.551458,42240,16,2,0,0.145874,3,pass,1.376791;1.485166;1.334750 -random_masked_reverse,55,330,8,pull32_interleaved,1.521625,1.473958,0.545167,42240,16,2,0,0.145874,3,pass,1.521625;1.556750;1.415291 -random_masked_reverse,55,330,8,pull32_gpu_dag,2.495833,1.471417,0.716917,42240,16,4,0,0.145874,3,pass,2.495833;2.549042;2.468584 -random_masked_reverse,55,330,8,frontier32_vertex,2.342125,2.304500,1.255875,3691,16,2,0,0.145874,3,pass,2.353792;2.315083;2.342125 -random_masked_reverse,55,330,8,frontier32_simd,1.787084,1.743208,0.743833,3691,16,2,0,0.145874,3,pass,1.787084;1.761209;2.490834 -random_masked_reverse,55,330,8,frontier32_gpu_dag,2.778750,1.799208,0.919250,3691,16,4,0,0.145874,3,pass,2.778750;2.952958;2.660834 -random_masked_reverse,55,330,8,bucket32_d4,5.850292,5.799500,2.949250,2455,32,4,0,0.145874,3,pass,5.722000;5.850292;6.357334 -random_masked_reverse,55,330,8,bucket32_d16,4.124625,4.079792,1.998667,2603,24,3,0,0.145874,3,pass,4.202209;3.872583;4.124625 -random_masked_reverse,55,330,8,bucket32_d64,2.865084,2.815584,1.337000,3605,16,2,0,0.145874,3,pass,2.865084;2.912375;2.795334 -random_masked_int64,58,348,8,old_pull_serial,0.872709,0.795709,0.367625,22272,8,1,0,0.140833,3,pass,0.872709;0.911750;0.861792 -random_masked_int64,58,348,8,old_group_serial,0.582042,0.518041,0.195208,13920,5,1,0,0.140833,3,pass,0.600833;0.582042;0.571458 -random_masked_int64,58,348,8,old_pull_parallel_dag,0.925708,0.859042,0.369625,22272,8,1,0,0.140833,3,pass,0.875667;0.925708;0.991000 -random_masked_int64,58,348,8,old_group_parallel_dag,0.591500,0.533333,0.195500,13920,5,1,0,0.140833,3,pass,0.570542;0.615000;0.591500 -random_masked_int64,58,348,8,pull64_barrier,0.888500,0.827500,0.373000,22272,8,1,0,0.140833,3,pass,0.888500;0.842500;0.918833 -random_masked_int64,58,348,8,pull64_interleaved,0.856625,0.803667,0.364000,22272,8,1,0,0.140833,3,pass,0.807459;0.856625;0.887834 -random_masked_int64,58,348,8,pull32_interleaved,0.867709,0.820791,0.365125,22272,8,1,1,0.140833,3,pass,0.867709;0.974041;0.866375 -random_masked_int64,58,348,8,pull32_gpu_dag,1.867583,0.887667,0.521750,22272,8,3,1,0.140833,3,pass,1.941917;1.784875;1.867583 -random_masked_int64,58,348,8,frontier32_vertex,0.856625,0.815334,0.371167,22272,8,1,1,0.140833,3,pass,0.856625;0.830417;0.954167 -random_masked_int64,58,348,8,frontier32_simd,0.849583,0.811958,0.373375,22272,8,1,1,0.140833,3,pass,0.831125;0.855291;0.849583 -random_masked_int64,58,348,8,frontier32_gpu_dag,1.659250,0.743042,0.533083,22272,8,3,1,0.140833,3,pass,1.560875;1.762667;1.659250 -random_masked_int64,58,348,8,bucket32_d4,0.899042,0.835083,0.373625,22272,8,1,1,0.140833,3,pass,0.966625;0.899042;0.873084 -random_masked_int64,58,348,8,bucket32_d16,0.910541,0.856459,0.373750,22272,8,1,1,0.140833,3,pass,0.910541;1.533667;0.883916 -random_masked_int64,58,348,8,bucket32_d64,0.893583,0.853333,0.372958,22272,8,1,1,0.140833,3,pass,0.803375;0.893583;0.899000 -random_masked,61,366,8,old_pull_serial,1.854125,1.769125,0.870042,46848,16,2,0,0.123125,3,pass,1.854125;1.937959;1.735333 -random_masked,61,366,8,old_group_serial,0.791958,0.719834,0.400583,23424,9,1,0,0.123125,3,pass,0.748750;0.791958;0.793584 -random_masked,61,366,8,old_pull_parallel_dag,1.979500,1.922542,0.870375,46848,16,2,0,0.123125,3,pass,1.889000;2.052833;1.979500 -random_masked,61,366,8,old_group_parallel_dag,0.820458,0.764166,0.425292,23424,9,1,0,0.123125,3,pass,0.820458;0.836709;0.781541 -random_masked,61,366,8,pull64_barrier,1.749375,1.692542,0.875958,46848,16,2,0,0.123125,3,pass,1.749375;1.930875;1.732417 -random_masked,61,366,8,pull64_interleaved,2.035125,1.985166,0.864833,46848,16,2,0,0.123125,3,pass,2.035125;2.042292;1.776708 -random_masked,61,366,8,pull32_interleaved,1.778542,1.701709,0.847667,46848,16,2,0,0.123125,3,pass,1.744000;1.778542;1.834250 -random_masked,61,366,8,pull32_gpu_dag,2.837875,1.714542,1.017125,46848,16,4,0,0.123125,3,pass,2.837875;2.750916;2.866750 -random_masked,61,366,8,frontier32_vertex,2.246167,2.191792,1.042292,4776,16,2,0,0.123125,3,pass,2.209041;2.247041;2.246167 -random_masked,61,366,8,frontier32_simd,1.770291,1.724917,0.722583,4776,16,2,0,0.123125,3,pass,1.730292;1.813792;1.770291 -random_masked,61,366,8,frontier32_gpu_dag,2.942834,1.920750,0.893500,4776,16,4,0,0.123125,3,pass,2.942834;3.091875;2.812417 -random_masked,61,366,8,bucket32_d4,6.850750,6.795292,3.736667,2760,40,5,0,0.123125,3,pass,7.512667;6.758334;6.850750 -random_masked,61,366,8,bucket32_d16,4.147667,4.106708,2.052875,2952,24,3,0,0.123125,3,pass,4.100166;4.667291;4.147667 -random_masked,61,366,8,bucket32_d64,2.798166,2.741958,1.319584,4596,16,2,0,0.123125,3,pass,2.756084;3.563709;2.798166 -random_masked_int64_reverse,64,384,8,old_pull_serial,0.886167,0.795042,0.279500,24576,8,1,0,0.147292,3,pass,0.886167;0.924708;0.759458 -random_masked_int64_reverse,64,384,8,old_group_serial,0.507208,0.449959,0.141625,13440,5,1,0,0.147292,3,pass,0.507208;0.502583;0.509542 -random_masked_int64_reverse,64,384,8,old_pull_parallel_dag,0.732416,0.688709,0.281375,24576,8,1,0,0.147292,3,pass,0.732416;1.318458;0.720583 -random_masked_int64_reverse,64,384,8,old_group_parallel_dag,0.466750,0.434750,0.142042,13440,5,1,0,0.147292,3,pass,0.491667;0.466750;0.456500 -random_masked_int64_reverse,64,384,8,pull64_barrier,0.677125,0.645208,0.289000,24576,8,1,0,0.147292,3,pass,0.678833;0.671916;0.677125 -random_masked_int64_reverse,64,384,8,pull64_interleaved,0.685625,0.651416,0.279750,24576,8,1,0,0.147292,3,pass,0.675625;0.718500;0.685625 -random_masked_int64_reverse,64,384,8,pull32_interleaved,0.719459,0.686375,0.279750,24576,8,1,1,0.147292,3,pass,0.718459;0.739583;0.719459 -random_masked_int64_reverse,64,384,8,pull32_gpu_dag,1.532500,0.645084,0.439208,24576,8,3,1,0.147292,3,pass,1.444958;1.578208;1.532500 -random_masked_int64_reverse,64,384,8,frontier32_vertex,1.130167,1.083291,0.283625,24576,8,1,1,0.147292,3,pass,0.664542;3.123333;1.130167 -random_masked_int64_reverse,64,384,8,frontier32_simd,0.741375,0.696458,0.286042,24576,8,1,1,0.147292,3,pass,0.741375;0.843708;0.697667 -random_masked_int64_reverse,64,384,8,frontier32_gpu_dag,1.513292,0.679583,0.447292,24576,8,3,1,0.147292,3,pass,1.513292;1.511542;4.620750 -random_masked_int64_reverse,64,384,8,bucket32_d4,0.714208,0.677750,0.282125,24576,8,1,1,0.147292,3,pass,0.689625;0.714208;1.098000 -random_masked_int64_reverse,64,384,8,bucket32_d16,0.723459,0.685500,0.281542,24576,8,1,1,0.147292,3,pass,0.718500;0.768875;0.723459 -random_masked_int64_reverse,64,384,8,bucket32_d64,0.729791,0.695958,0.284250,24576,8,1,1,0.147292,3,pass,0.796542;0.725416;0.729791 -random_masked,67,402,8,old_pull_serial,0.857292,0.785291,0.370417,25728,8,1,0,0.128293,3,pass,0.837916;0.857292;0.890875 -random_masked,67,402,8,old_group_serial,0.668833,0.594291,0.296083,24522,8,1,0,0.128293,3,pass,0.672292;0.664500;0.668833 -random_masked,67,402,8,old_pull_parallel_dag,0.928375,0.891000,0.373042,25728,8,1,0,0.128293,3,pass,0.888000;0.928375;0.974042 -random_masked,67,402,8,old_group_parallel_dag,0.723875,0.671833,0.297042,24522,8,1,0,0.128293,3,pass,0.723875;0.910833;0.642500 -random_masked,67,402,8,pull64_barrier,0.831834,0.788125,0.378083,25728,8,1,0,0.128293,3,pass,0.817416;0.855125;0.831834 -random_masked,67,402,8,pull64_interleaved,0.829583,0.785417,0.370458,25728,8,1,0,0.128293,3,pass,0.829583;0.820084;0.854083 -random_masked,67,402,8,pull32_interleaved,0.804083,0.767791,0.361458,25728,8,1,0,0.128293,3,pass,0.804083;0.839708;0.797292 -random_masked,67,402,8,pull32_gpu_dag,1.623708,0.745958,0.508833,25728,8,3,0,0.128293,3,pass,1.654500;1.565750;1.623708 -random_masked,67,402,8,frontier32_vertex,1.267000,1.217542,0.746125,5034,8,1,0,0.128293,3,pass,1.245000;1.289917;1.267000 -random_masked,67,402,8,frontier32_simd,1.016708,0.960041,0.448250,5034,8,1,0,0.128293,3,pass,1.627917;1.016708;1.000916 -random_masked,67,402,8,frontier32_gpu_dag,1.809334,0.957875,0.597875,5034,8,3,0,0.128293,3,pass,1.787542;1.809334;1.864500 -random_masked,67,402,8,bucket32_d4,5.585500,5.529125,2.872125,3120,32,4,0,0.128293,3,pass,5.370417;6.061667;5.585500 -random_masked,67,402,8,bucket32_d16,3.892917,3.851583,1.985375,3360,24,3,0,0.128293,3,pass,3.892917;4.481458;3.838959 -random_masked,67,402,8,bucket32_d64,2.534042,2.490375,1.256000,4914,16,2,0,0.128293,3,pass,2.534042;2.637875;2.526750 -random_masked_int64,70,420,8,old_pull_serial,0.912250,0.837084,0.427291,26880,8,1,0,0.124334,3,pass,0.898458;0.912250;0.922583 -random_masked_int64,70,420,8,old_group_serial,0.656833,0.587292,0.267500,15960,6,1,0,0.124334,3,pass,0.656833;0.635209;0.685292 -random_masked_int64,70,420,8,old_pull_parallel_dag,1.011333,0.946708,0.429375,26880,8,1,0,0.124334,3,pass,1.072625;1.011333;0.990667 -random_masked_int64,70,420,8,old_group_parallel_dag,0.727625,0.678417,0.267084,15960,6,1,0,0.124334,3,pass,0.691584;0.727625;0.745875 -random_masked_int64,70,420,8,pull64_barrier,1.078958,1.021458,0.458000,26880,8,1,0,0.124334,3,pass,1.012542;1.103167;1.078958 -random_masked_int64,70,420,8,pull64_interleaved,0.923167,0.876958,0.438125,26880,8,1,0,0.124334,3,pass,1.001875;0.923167;0.846208 -random_masked_int64,70,420,8,pull32_interleaved,1.027959,0.985125,0.443792,26880,8,1,1,0.124334,3,pass,0.960584;1.518167;1.027959 -random_masked_int64,70,420,8,pull32_gpu_dag,1.744000,0.867250,0.607000,26880,8,3,1,0.124334,3,pass,1.803875;1.744000;1.733875 -random_masked_int64,70,420,8,frontier32_vertex,0.913333,0.869584,0.444000,26880,8,1,1,0.124334,3,pass,0.849500;0.913333;1.494042 -random_masked_int64,70,420,8,frontier32_simd,1.054834,1.027084,0.473750,26880,8,1,1,0.124334,3,pass,1.054834;1.143834;0.988292 -random_masked_int64,70,420,8,frontier32_gpu_dag,1.867833,0.975291,0.639917,26880,8,3,1,0.124334,3,pass,1.995833;1.805875;1.867833 -random_masked_int64,70,420,8,bucket32_d4,0.923167,0.887625,0.468917,26880,8,1,1,0.124334,3,pass,0.840583;1.055541;0.923167 -random_masked_int64,70,420,8,bucket32_d16,0.996375,0.960125,0.446250,26880,8,1,1,0.124334,3,pass,1.016292;0.912750;0.996375 -random_masked_int64,70,420,8,bucket32_d64,0.946958,0.915833,0.462458,26880,8,1,1,0.124334,3,pass,0.946958;1.079209;0.843833 -random_masked_reverse,73,438,8,old_pull_serial,1.544708,1.479625,0.626833,56064,16,2,0,0.127917,3,pass,1.593958;1.537750;1.544708 -random_masked_reverse,73,438,8,old_group_serial,0.616500,0.552708,0.252333,30222,10,1,0,0.127917,3,pass,0.664708;0.616500;0.604208 -random_masked_reverse,73,438,8,old_pull_parallel_dag,1.573667,1.535500,0.613583,56064,16,2,0,0.127917,3,pass,1.573667;1.498833;1.613833 -random_masked_reverse,73,438,8,old_group_parallel_dag,0.605708,0.567584,0.256000,30222,10,1,0,0.127917,3,pass,0.636500;0.605708;0.572500 -random_masked_reverse,73,438,8,pull64_barrier,1.501625,1.458875,0.610542,56064,16,2,0,0.127917,3,pass,1.501625;1.509291;1.430958 -random_masked_reverse,73,438,8,pull64_interleaved,1.434334,1.403000,0.619042,56064,16,2,0,0.127917,3,pass,1.453458;1.405166;1.434334 -random_masked_reverse,73,438,8,pull32_interleaved,1.384458,1.352667,0.597333,56064,16,2,0,0.127917,3,pass,1.371959;1.692083;1.384458 -random_masked_reverse,73,438,8,pull32_gpu_dag,2.072333,1.277333,0.753209,56064,16,4,0,0.127917,3,pass,2.072333;1.848416;2.650459 -random_masked_reverse,73,438,8,frontier32_vertex,2.110666,2.066958,1.024083,5335,16,2,0,0.127917,3,pass,2.153834;2.110666;1.736583 -random_masked_reverse,73,438,8,frontier32_simd,1.530708,1.489292,0.361042,5335,16,2,0,0.127917,3,pass,1.555208;1.530708;1.270708 -random_masked_reverse,73,438,8,frontier32_gpu_dag,2.006667,1.291750,0.472458,5335,16,4,0,0.127917,3,pass,2.064667;1.931875;2.006667 -random_masked_reverse,73,438,8,bucket32_d4,3.628500,3.593417,1.164083,3179,32,4,0,0.127917,3,pass,3.628500;3.704042;3.569250 -random_masked_reverse,73,438,8,bucket32_d16,2.702375,2.656292,0.743625,3402,24,3,0,0.127917,3,pass,2.702375;2.782959;2.543667 -random_masked_reverse,73,438,8,bucket32_d64,1.697042,1.630166,0.391417,4984,16,2,0,0.127917,3,pass,1.697791;1.697042;1.622875 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b/dev/research/metal_pathfinding/optimization/results/correctness-stderr.txt deleted file mode 100644 index 47b95c6..0000000 --- a/dev/research/metal_pathfinding/optimization/results/correctness-stderr.txt +++ /dev/null @@ -1 +0,0 @@ -device=Apple M4 Max setup_ms=50.79 execution_width=32 diff --git a/dev/research/metal_pathfinding/optimization/results/correctness.csv b/dev/research/metal_pathfinding/optimization/results/correctness.csv deleted file mode 100644 index 6ad6397..0000000 --- a/dev/research/metal_pathfinding/optimization/results/correctness.csv +++ /dev/null @@ -1,337 +0,0 @@ -case,n,e,queries,method,wall_ms,distance_ms,gpu_ms,edge_visits,rounds,waits,fallback64,upload_ms,samples,correct,wall_samples_ms -random_masked_int64,40,240,8,old_pull_serial,0.562958,0.541375,0.122875,15360,8,1,0,0.116249,3,pass,0.568167;0.533500;0.562958 -random_masked_int64,40,240,8,old_group_serial,0.513500,0.491542,0.071625,9600,6,1,0,0.116249,3,pass,0.513500;0.487167;0.567333 -random_masked_int64,40,240,8,old_pull_parallel_dag,0.573333,0.491583,0.122958,15360,8,1,0,0.116249,3,pass,0.573333;0.548333;0.592250 -random_masked_int64,40,240,8,old_group_parallel_dag,0.519708,0.462291,0.071125,9600,6,1,0,0.116249,3,pass,0.500084;0.526209;0.519708 -random_masked_int64,40,240,8,pull64_barrier,0.567209,0.524583,0.113625,15360,8,1,0,0.116249,3,pass,0.567209;0.586667;0.326542 -random_masked_int64,40,240,8,pull64_interleaved,0.335166,0.294625,0.113125,15360,8,1,0,0.116249,3,pass,0.326833;0.338791;0.335166 -random_masked_int64,40,240,8,pull32_interleaved,0.329584,0.277209,0.113292,15360,8,1,1,0.116249,3,pass,0.329584;0.341041;0.309250 -random_masked_int64,40,240,8,pull32_gpu_dag,0.758416,0.296667,0.163916,15360,8,3,1,0.116249,3,pass,0.694417;0.758416;0.838375 -random_masked_int64,40,240,8,frontier32_vertex,0.323083,0.273417,0.112375,15360,8,1,1,0.116249,3,pass,0.365583;0.323083;0.298250 -random_masked_int64,40,240,8,frontier32_simd,0.329375,0.284292,0.112167,15360,8,1,1,0.116249,3,pass,0.327875;0.884416;0.329375 -random_masked_int64,40,240,8,frontier32_gpu_dag,0.657125,0.282000,0.160708,15360,8,3,1,0.116249,3,pass,0.657125;0.698167;0.640042 -random_masked_int64,40,240,8,bucket32_d4,0.394209,0.348916,0.129667,15360,8,1,1,0.116249,3,pass,0.467000;0.394209;0.361750 -random_masked_int64,40,240,8,bucket32_d16,0.333709,0.284834,0.112792,15360,8,1,1,0.116249,3,pass,0.333709;0.318917;0.335542 -random_masked_int64,40,240,8,bucket32_d64,0.317500,0.278125,0.112250,15360,8,1,1,0.116249,3,pass,0.323708;0.305125;0.317500 -random_masked,43,258,8,old_pull_serial,0.572584,0.552875,0.270417,33024,16,2,0,0.083291,3,pass,0.572584;0.578375;0.561625 -random_masked,43,258,8,old_group_serial,0.255458,0.243375,0.105375,14448,9,1,0,0.083291,3,pass,0.255458;0.305583;0.231875 -random_masked,43,258,8,old_pull_parallel_dag,0.577625,0.546834,0.273417,33024,16,2,0,0.083291,3,pass,0.577625;0.608875;0.559083 -random_masked,43,258,8,old_group_parallel_dag,0.281833,0.243709,0.105583,14448,9,1,0,0.083291,3,pass,0.269000;0.293583;0.281833 -random_masked,43,258,8,pull64_barrier,0.594875,0.526042,0.244875,33024,16,2,0,0.083291,3,pass,0.594875;0.600542;0.564625 -random_masked,43,258,8,pull64_interleaved,0.686125,0.652417,0.298292,33024,16,2,0,0.083291,3,pass,0.655416;0.730000;0.686125 -random_masked,43,258,8,pull32_interleaved,0.569958,0.533916,0.219208,33024,16,2,0,0.083291,3,pass,0.690500;0.569958;0.534750 -random_masked,43,258,8,pull32_gpu_dag,1.093000,0.672000,0.337000,33024,16,4,0,0.083291,3,pass,1.089750;1.138958;1.093000 -random_masked,43,258,8,frontier32_vertex,0.811167,0.763792,0.443250,3186,16,2,0,0.083291,3,pass,0.811167;0.769541;0.873292 -random_masked,43,258,8,frontier32_simd,0.662417,0.619000,0.325375,3186,16,2,0,0.083291,3,pass,0.653209;0.662417;1.329042 -random_masked,43,258,8,frontier32_gpu_dag,1.094500,0.664041,0.371958,3186,16,4,0,0.083291,3,pass,1.044250;1.094500;1.224167 -random_masked,43,258,8,bucket32_d4,2.167333,2.099083,1.255792,2016,32,4,0,0.083291,3,pass,2.198125;2.167333;2.011750 -random_masked,43,258,8,bucket32_d16,1.541041,1.509916,0.911334,2142,24,3,0,0.083291,3,pass,1.701416;1.541041;1.509917 -random_masked,43,258,8,bucket32_d64,1.098250,1.062792,0.618375,3096,16,2,0,0.083291,3,pass,1.088084;1.098250;1.138375 -random_masked_int64_reverse,46,276,8,old_pull_serial,0.320125,0.287208,0.119125,17664,8,1,0,0.109000,3,pass,0.320125;0.288375;0.330834 -random_masked_int64_reverse,46,276,8,old_group_serial,0.231167,0.215875,0.045500,9660,5,1,0,0.109000,3,pass,0.231709;0.228834;0.231167 -random_masked_int64_reverse,46,276,8,old_pull_parallel_dag,0.284459,0.242500,0.095250,17664,8,1,0,0.109000,3,pass,0.356084;0.284459;0.282208 -random_masked_int64_reverse,46,276,8,old_group_parallel_dag,0.222583,0.169041,0.044625,9660,5,1,0,0.109000,3,pass,0.222583;0.223209;0.213208 -random_masked_int64_reverse,46,276,8,pull64_barrier,0.361209,0.313625,0.109375,17664,8,1,0,0.109000,3,pass,0.361209;0.383542;0.313542 -random_masked_int64_reverse,46,276,8,pull64_interleaved,0.314208,0.274833,0.093750,17664,8,1,0,0.109000,3,pass,0.347709;0.314208;0.300500 -random_masked_int64_reverse,46,276,8,pull32_interleaved,0.370542,0.328166,0.111917,17664,8,1,1,0.109000,3,pass,0.350250;0.943084;0.370542 -random_masked_int64_reverse,46,276,8,pull32_gpu_dag,0.791459,0.327709,0.156083,17664,8,3,1,0.109000,3,pass,0.791459;0.806792;0.742833 -random_masked_int64_reverse,46,276,8,frontier32_vertex,0.369875,0.318917,0.104333,17664,8,1,1,0.109000,3,pass,0.343583;0.369875;0.378291 -random_masked_int64_reverse,46,276,8,frontier32_simd,0.341250,0.304667,0.107625,17664,8,1,1,0.109000,3,pass,0.336959;0.341250;0.354541 -random_masked_int64_reverse,46,276,8,frontier32_gpu_dag,0.782833,0.318333,0.157750,17664,8,3,1,0.109000,3,pass,0.802541;0.772208;0.782833 -random_masked_int64_reverse,46,276,8,bucket32_d4,0.378708,0.321791,0.101500,17664,8,1,1,0.109000,3,pass,0.426667;0.378708;0.349875 -random_masked_int64_reverse,46,276,8,bucket32_d16,0.366875,0.315208,0.105917,17664,8,1,1,0.109000,3,pass,0.376708;0.366875;0.345125 -random_masked_int64_reverse,46,276,8,bucket32_d64,0.375291,0.328750,0.104875,17664,8,1,1,0.109000,3,pass,0.355542;0.375291;0.380708 -random_masked,49,294,8,old_pull_serial,0.349167,0.330875,0.142625,18816,8,1,0,0.098416,3,pass,0.355041;0.349167;0.336417 -random_masked,49,294,8,old_group_serial,0.291625,0.279125,0.094042,14700,8,1,0,0.098416,3,pass,0.274917;0.291625;0.375291 -random_masked,49,294,8,old_pull_parallel_dag,0.394000,0.325875,0.148708,18816,8,1,0,0.098416,3,pass,0.394000;0.414875;0.355791 -random_masked,49,294,8,old_group_parallel_dag,0.321250,0.275959,0.093833,14700,8,1,0,0.098416,3,pass,0.321250;0.317416;0.348875 -random_masked,49,294,8,pull64_barrier,0.371584,0.324792,0.119250,18816,8,1,0,0.098416,3,pass,0.427208;0.371584;0.358792 -random_masked,49,294,8,pull64_interleaved,0.367875,0.317042,0.145625,18816,8,1,0,0.098416,3,pass,0.325000;0.367875;0.427334 -random_masked,49,294,8,pull32_interleaved,0.331500,0.293542,0.104583,18816,8,1,0,0.098416,3,pass,0.331500;0.368292;0.325250 -random_masked,49,294,8,pull32_gpu_dag,0.853708,0.354166,0.178292,18816,8,3,0,0.098416,3,pass,0.865458;0.810500;0.853708 -random_masked,49,294,8,frontier32_vertex,0.595250,0.561125,0.310875,3162,8,1,0,0.098416,3,pass,0.589541;0.595250;0.615666 -random_masked,49,294,8,frontier32_simd,0.426833,0.374167,0.180625,3156,8,1,0,0.098416,3,pass,0.426833;0.468625;0.403334 -random_masked,49,294,8,frontier32_gpu_dag,0.900792,0.407417,0.236917,3162,8,3,0,0.098416,3,pass,0.900792;0.924666;0.781917 -random_masked,49,294,8,bucket32_d4,2.018792,1.964250,0.991125,2022,40,5,0,0.098416,3,pass,2.461125;2.018792;1.864459 -random_masked,49,294,8,bucket32_d16,0.797750,0.762875,0.338708,2100,16,2,0,0.098416,3,pass,0.834750;0.759209;0.797750 -random_masked,49,294,8,bucket32_d64,0.719584,0.669417,0.273375,3042,16,2,0,0.098416,3,pass,0.847958;0.713667;0.719584 -random_masked_int64,52,312,8,old_pull_serial,0.251500,0.230167,0.061875,19968,8,1,0,0.132541,3,pass,0.251500;0.271667;0.246209 -random_masked_int64,52,312,8,old_group_serial,0.234042,0.204916,0.033833,12168,6,1,0,0.132541,3,pass,0.217834;0.234042;0.241666 -random_masked_int64,52,312,8,old_pull_parallel_dag,0.300750,0.252917,0.062500,19968,8,1,0,0.132541,3,pass,0.258250;0.300750;0.307166 -random_masked_int64,52,312,8,old_group_parallel_dag,0.277167,0.205667,0.033958,12168,6,1,0,0.132541,3,pass,0.256584;0.369375;0.277167 -random_masked_int64,52,312,8,pull64_barrier,0.335791,0.302083,0.060083,19968,8,1,0,0.132541,3,pass,0.347916;0.330959;0.335791 -random_masked_int64,52,312,8,pull64_interleaved,0.343042,0.290542,0.057959,19968,8,1,0,0.132541,3,pass,0.326000;0.357292;0.343042 -random_masked_int64,52,312,8,pull32_interleaved,0.349375,0.298750,0.057958,19968,8,1,1,0.132541,3,pass,0.361458;0.349375;0.335000 -random_masked_int64,52,312,8,pull32_gpu_dag,0.854458,0.312000,0.082459,19968,8,3,1,0.132541,3,pass,0.752042;1.220167;0.854458 -random_masked_int64,52,312,8,frontier32_vertex,0.358917,0.321792,0.058792,19968,8,1,1,0.132541,3,pass,0.369084;0.324000;0.358917 -random_masked_int64,52,312,8,frontier32_simd,0.371084,0.329958,0.058542,19968,8,1,1,0.132541,3,pass,0.371084;0.319417;0.386417 -random_masked_int64,52,312,8,frontier32_gpu_dag,0.591750,0.231083,0.061417,19968,8,3,1,0.132541,3,pass,0.534625;0.591750;0.640417 -random_masked_int64,52,312,8,bucket32_d4,0.324334,0.287292,0.053583,19968,8,1,1,0.132541,3,pass,0.296625;0.400583;0.324334 -random_masked_int64,52,312,8,bucket32_d16,0.321666,0.274500,0.051708,19968,8,1,1,0.132541,3,pass,0.321542;0.373166;0.321666 -random_masked_int64,52,312,8,bucket32_d64,0.330334,0.267000,0.048500,19968,8,1,1,0.132541,3,pass,0.330334;0.354292;0.300292 -random_masked_reverse,55,330,8,old_pull_serial,0.381583,0.369958,0.070083,42240,16,2,0,0.136458,3,pass,0.381583;0.404583;0.378750 -random_masked_reverse,55,330,8,old_group_serial,0.165125,0.149959,0.024333,20130,10,1,0,0.136458,3,pass,0.189000;0.157875;0.165125 -random_masked_reverse,55,330,8,old_pull_parallel_dag,0.330250,0.301334,0.058333,42240,16,2,0,0.136458,3,pass,0.364000;0.322041;0.330250 -random_masked_reverse,55,330,8,old_group_parallel_dag,0.188792,0.148584,0.021917,20130,10,1,0,0.136458,3,pass,0.223500;0.188792;0.181417 -random_masked_reverse,55,330,8,pull64_barrier,0.455958,0.432416,0.060250,42240,16,2,0,0.136458,3,pass,0.463333;0.455958;0.419792 -random_masked_reverse,55,330,8,pull64_interleaved,0.477458,0.446000,0.066375,42240,16,2,0,0.136458,3,pass,0.477458;0.438542;0.577083 -random_masked_reverse,55,330,8,pull32_interleaved,0.437209,0.390750,0.059500,42240,16,2,0,0.136458,3,pass,0.437209;0.439667;0.401416 -random_masked_reverse,55,330,8,pull32_gpu_dag,0.788167,0.410958,0.084000,42240,16,4,0,0.136458,3,pass,0.879083;0.780833;0.788167 -random_masked_reverse,55,330,8,frontier32_vertex,0.558375,0.525958,0.173792,3691,16,2,0,0.136458,3,pass,0.841542;0.558375;0.547000 -random_masked_reverse,55,330,8,frontier32_simd,0.471416,0.425250,0.108125,3691,16,2,0,0.136458,3,pass,0.451917;0.471416;0.482083 -random_masked_reverse,55,330,8,frontier32_gpu_dag,0.761666,0.416041,0.127125,3691,16,4,0,0.136458,3,pass,0.819375;0.761666;0.747625 -random_masked_reverse,55,330,8,bucket32_d4,1.046625,1.021750,0.349208,2455,32,4,0,0.136458,3,pass,1.042834;1.046625;1.100042 -random_masked_reverse,55,330,8,bucket32_d16,0.837417,0.805958,0.279000,2603,24,3,0,0.136458,3,pass,0.837417;0.884334;0.757500 -random_masked_reverse,55,330,8,bucket32_d64,0.521625,0.456666,0.159333,3605,16,2,0,0.136458,3,pass,0.453458;0.526417;0.521625 -random_masked_int64,58,348,8,old_pull_serial,0.186041,0.167958,0.030833,22272,8,1,0,0.058459,3,pass,0.189041;0.178792;0.186041 -random_masked_int64,58,348,8,old_group_serial,0.156000,0.139792,0.013250,13920,5,1,0,0.058459,3,pass,0.151125;0.160167;0.156000 -random_masked_int64,58,348,8,old_pull_parallel_dag,0.197250,0.157083,0.027333,22272,8,1,0,0.058459,3,pass,0.197250;0.200458;0.190459 -random_masked_int64,58,348,8,old_group_parallel_dag,0.165625,0.132291,0.013375,13920,5,1,0,0.058459,3,pass,0.167541;0.159458;0.165625 -random_masked_int64,58,348,8,pull64_barrier,0.208458,0.176250,0.026958,22272,8,1,0,0.058459,3,pass,0.283084;0.208458;0.198500 -random_masked_int64,58,348,8,pull64_interleaved,0.194334,0.174708,0.027958,22272,8,1,0,0.058459,3,pass,0.194334;0.191875;0.202292 -random_masked_int64,58,348,8,pull32_interleaved,0.191375,0.165916,0.027875,22272,8,1,1,0.058459,3,pass,0.198125;0.190583;0.191375 -random_masked_int64,58,348,8,pull32_gpu_dag,0.588458,0.211625,0.047000,22272,8,3,1,0.058459,3,pass,0.590250;0.506208;0.588458 -random_masked_int64,58,348,8,frontier32_vertex,0.225708,0.204667,0.030375,22272,8,1,1,0.058459,3,pass,0.245209;0.223583;0.225708 -random_masked_int64,58,348,8,frontier32_simd,0.244375,0.206250,0.030792,22272,8,1,1,0.058459,3,pass,0.226125;0.274500;0.244375 -random_masked_int64,58,348,8,frontier32_gpu_dag,0.520667,0.194583,0.043542,22272,8,3,1,0.058459,3,pass,0.517875;0.520667;0.547625 -random_masked_int64,58,348,8,bucket32_d4,0.217958,0.187000,0.027875,22272,8,1,1,0.058459,3,pass,0.211583;0.220375;0.217958 -random_masked_int64,58,348,8,bucket32_d16,0.230000,0.204833,0.030375,22272,8,1,1,0.058459,3,pass,0.188792;0.270042;0.230000 -random_masked_int64,58,348,8,bucket32_d64,0.209875,0.187709,0.027333,22272,8,1,1,0.058459,3,pass,0.264500;0.209875;0.203958 -random_masked,61,366,8,old_pull_serial,0.309291,0.298834,0.063375,46848,16,2,0,0.052416,3,pass,0.309291;0.308166;0.322417 -random_masked,61,366,8,old_group_serial,0.141500,0.131333,0.024708,23424,9,1,0,0.052416,3,pass,0.150833;0.141500;0.137000 -random_masked,61,366,8,old_pull_parallel_dag,0.342834,0.306125,0.064458,46848,16,2,0,0.052416,3,pass,0.406584;0.342834;0.339459 -random_masked,61,366,8,old_group_parallel_dag,0.177291,0.145333,0.024708,23424,9,1,0,0.052416,3,pass,0.177291;0.163500;0.191833 -random_masked,61,366,8,pull64_barrier,0.422167,0.395792,0.066667,46848,16,2,0,0.052416,3,pass,0.422167;0.390583;0.431209 -random_masked,61,366,8,pull64_interleaved,0.389083,0.365958,0.066667,46848,16,2,0,0.052416,3,pass,0.389083;0.365166;0.401083 -random_masked,61,366,8,pull32_interleaved,0.353250,0.319500,0.053750,46848,16,2,0,0.052416,3,pass,0.350166;0.353250;0.455584 -random_masked,61,366,8,pull32_gpu_dag,0.685375,0.349667,0.070417,46848,16,4,0,0.052416,3,pass,0.650041;0.834458;0.685375 -random_masked,61,366,8,frontier32_vertex,0.496416,0.460000,0.137750,4776,16,2,0,0.052416,3,pass,0.496416;0.497708;0.445875 -random_masked,61,366,8,frontier32_simd,0.431584,0.383167,0.092917,4776,16,2,0,0.052416,3,pass,0.378875;0.431584;0.512042 -random_masked,61,366,8,frontier32_gpu_dag,0.768958,0.425000,0.124625,4776,16,4,0,0.052416,3,pass,0.818959;0.743625;0.768958 -random_masked,61,366,8,bucket32_d4,1.126958,1.098000,0.409250,2760,40,5,0,0.052416,3,pass,1.126958;1.091500;1.168916 -random_masked,61,366,8,bucket32_d16,0.778042,0.751250,0.267750,2952,24,3,0,0.052416,3,pass,0.778042;0.807250;0.666792 -random_masked,61,366,8,bucket32_d64,0.449792,0.426417,0.157708,4590,16,2,0,0.052416,3,pass,0.443667;0.449792;0.465417 -random_masked_int64_reverse,64,384,8,old_pull_serial,0.179208,0.167667,0.026500,24576,8,1,0,0.046333,3,pass,0.171750;0.179208;0.182792 -random_masked_int64_reverse,64,384,8,old_group_serial,0.154708,0.144500,0.011125,13440,5,1,0,0.046333,3,pass,0.151625;0.154708;0.161958 -random_masked_int64_reverse,64,384,8,old_pull_parallel_dag,0.200458,0.170542,0.026167,24576,8,1,0,0.046333,3,pass,0.209667;0.200458;0.200000 -random_masked_int64_reverse,64,384,8,old_group_parallel_dag,0.175792,0.141084,0.011125,13440,5,1,0,0.046333,3,pass,0.179041;0.175792;0.174542 -random_masked_int64_reverse,64,384,8,pull64_barrier,0.228417,0.203125,0.026667,24576,8,1,0,0.046333,3,pass,0.228417;0.234625;0.225042 -random_masked_int64_reverse,64,384,8,pull64_interleaved,0.218542,0.189875,0.024458,24576,8,1,0,0.046333,3,pass,0.198458;0.251667;0.218542 -random_masked_int64_reverse,64,384,8,pull32_interleaved,0.223083,0.188250,0.024000,24576,8,1,1,0.046333,3,pass,0.197291;0.223083;0.267416 -random_masked_int64_reverse,64,384,8,pull32_gpu_dag,0.465292,0.176792,0.035500,24576,8,3,1,0.046333,3,pass,0.465292;0.442125;0.476250 -random_masked_int64_reverse,64,384,8,frontier32_vertex,0.221250,0.186667,0.022625,24576,8,1,1,0.046333,3,pass,0.221250;0.218417;0.378333 -random_masked_int64_reverse,64,384,8,frontier32_simd,0.213667,0.181542,0.022625,24576,8,1,1,0.046333,3,pass,0.197541;0.224833;0.213667 -random_masked_int64_reverse,64,384,8,frontier32_gpu_dag,0.405958,0.149291,0.034417,24576,8,3,1,0.046333,3,pass,0.401500;0.405958;0.486750 -random_masked_int64_reverse,64,384,8,bucket32_d4,0.194334,0.164583,0.023333,24576,8,1,1,0.046333,3,pass,0.190208;0.205375;0.194334 -random_masked_int64_reverse,64,384,8,bucket32_d16,0.227500,0.203625,0.026750,24576,8,1,1,0.046333,3,pass,0.215584;0.227500;0.354667 -random_masked_int64_reverse,64,384,8,bucket32_d64,0.204667,0.171833,0.022792,24576,8,1,1,0.046333,3,pass,0.204667;0.199625;0.216875 -random_masked,67,402,8,old_pull_serial,0.156208,0.145333,0.027917,25728,8,1,0,0.078416,3,pass,0.158250;0.156208;0.154292 -random_masked,67,402,8,old_group_serial,0.157000,0.146292,0.019708,24522,8,1,0,0.078416,3,pass,0.198042;0.153458;0.157000 -random_masked,67,402,8,old_pull_parallel_dag,0.187958,0.160625,0.028542,25728,8,1,0,0.078416,3,pass,0.180917;0.199084;0.187958 -random_masked,67,402,8,old_group_parallel_dag,0.153916,0.135416,0.019375,24522,8,1,0,0.078416,3,pass,0.163708;0.153916;0.144041 -random_masked,67,402,8,pull64_barrier,0.198750,0.171208,0.027625,25728,8,1,0,0.078416,3,pass,0.217750;0.198750;0.175833 -random_masked,67,402,8,pull64_interleaved,0.237833,0.201459,0.030625,25728,8,1,0,0.078416,3,pass,0.237584;0.310625;0.237833 -random_masked,67,402,8,pull32_interleaved,0.249375,0.202667,0.025375,25728,8,1,0,0.078416,3,pass,0.228958;0.315416;0.249375 -random_masked,67,402,8,pull32_gpu_dag,0.488833,0.179459,0.039125,25728,8,3,0,0.078416,3,pass,0.479541;0.488833;0.514375 -random_masked,67,402,8,frontier32_vertex,0.313167,0.276458,0.080125,5034,8,1,0,0.078416,3,pass,0.319041;0.265166;0.313167 -random_masked,67,402,8,frontier32_simd,0.249209,0.218042,0.051417,5034,8,1,0,0.078416,3,pass,0.233792;0.255833;0.249209 -random_masked,67,402,8,frontier32_gpu_dag,0.607250,0.210917,0.064250,4998,8,3,0,0.078416,3,pass,0.607250;0.494000;0.612541 -random_masked,67,402,8,bucket32_d4,0.935291,0.893959,0.331917,3120,32,4,0,0.078416,3,pass,0.935291;0.935666;0.911458 -random_masked,67,402,8,bucket32_d16,0.785333,0.745209,0.263125,3360,24,3,0,0.078416,3,pass,0.785333;0.732792;0.858959 -random_masked,67,402,8,bucket32_d64,0.456333,0.432458,0.151583,4914,16,2,0,0.078416,3,pass,0.446917;0.511209;0.456333 -random_masked_int64,70,420,8,old_pull_serial,0.172833,0.161834,0.033625,26880,8,1,0,0.111875,3,pass,0.152208;0.172833;0.183542 -random_masked_int64,70,420,8,old_group_serial,0.152167,0.141916,0.017417,15960,6,1,0,0.111875,3,pass,0.152167;0.157459;0.140167 -random_masked_int64,70,420,8,old_pull_parallel_dag,0.184084,0.156958,0.031333,26880,8,1,0,0.111875,3,pass,0.184084;0.183667;0.186000 -random_masked_int64,70,420,8,old_group_parallel_dag,0.172209,0.148625,0.017417,15960,6,1,0,0.111875,3,pass,0.165958;0.207458;0.172209 -random_masked_int64,70,420,8,pull64_barrier,0.222541,0.191167,0.032083,26880,8,1,0,0.111875,3,pass,0.299792;0.222541;0.215792 -random_masked_int64,70,420,8,pull64_interleaved,0.263458,0.214125,0.032958,26880,8,1,0,0.111875,3,pass,0.221292;0.263458;0.273541 -random_masked_int64,70,420,8,pull32_interleaved,0.259208,0.212417,0.033292,26880,8,1,1,0.111875,3,pass,0.264333;0.242292;0.259208 -random_masked_int64,70,420,8,pull32_gpu_dag,0.487792,0.185542,0.044083,26880,8,3,1,0.111875,3,pass,0.520042;0.487792;0.476084 -random_masked_int64,70,420,8,frontier32_vertex,0.228167,0.205667,0.033167,26880,8,1,1,0.111875,3,pass,0.228167;0.278209;0.213792 -random_masked_int64,70,420,8,frontier32_simd,0.235917,0.197334,0.029875,26880,8,1,1,0.111875,3,pass,0.249584;0.235917;0.206458 -random_masked_int64,70,420,8,frontier32_gpu_dag,0.552583,0.195792,0.047541,26880,8,3,1,0.111875,3,pass,0.552583;0.514250;0.567208 -random_masked_int64,70,420,8,bucket32_d4,0.213625,0.180917,0.031042,26880,8,1,1,0.111875,3,pass,0.189583;0.229083;0.213625 -random_masked_int64,70,420,8,bucket32_d16,0.200875,0.175083,0.030667,26880,8,1,1,0.111875,3,pass,0.199792;0.212792;0.200875 -random_masked_int64,70,420,8,bucket32_d64,0.226208,0.203666,0.033042,26880,8,1,1,0.111875,3,pass,0.226208;0.289750;0.209208 -random_masked_reverse,73,438,8,old_pull_serial,0.300875,0.279750,0.049167,56064,16,2,0,0.051958,3,pass,0.297583;0.322917;0.300875 -random_masked_reverse,73,438,8,old_group_serial,0.153167,0.131333,0.016917,30222,10,1,0,0.051958,3,pass,0.162833;0.153167;0.143875 -random_masked_reverse,73,438,8,old_pull_parallel_dag,0.357000,0.316083,0.052417,56064,16,2,0,0.051958,3,pass,0.357000;0.347458;0.368750 -random_masked_reverse,73,438,8,old_group_parallel_dag,0.172250,0.133250,0.017000,30222,10,1,0,0.051958,3,pass,0.161416;0.172250;0.179584 -random_masked_reverse,73,438,8,pull64_barrier,0.355208,0.325958,0.051917,56064,16,2,0,0.051958,3,pass,0.361458;0.338917;0.355208 -random_masked_reverse,73,438,8,pull64_interleaved,0.392041,0.358292,0.055250,56064,16,2,0,0.051958,3,pass,0.387334;0.392041;0.393834 -random_masked_reverse,73,438,8,pull32_interleaved,0.431125,0.388250,0.052375,56064,16,2,0,0.051958,3,pass,0.489459;0.376000;0.431125 -random_masked_reverse,73,438,8,pull32_gpu_dag,0.582458,0.309500,0.058208,56064,16,4,0,0.051958,3,pass,0.582458;0.564583;0.654625 -random_masked_reverse,73,438,8,frontier32_vertex,0.492000,0.452417,0.152417,5335,16,2,0,0.051958,3,pass,0.605959;0.474750;0.492000 -random_masked_reverse,73,438,8,frontier32_simd,0.459959,0.426417,0.108125,5335,16,2,0,0.051958,3,pass,0.473959;0.439375;0.459959 -random_masked_reverse,73,438,8,frontier32_gpu_dag,0.697459,0.393625,0.109375,5335,16,4,0,0.051958,3,pass,0.673333;0.697459;0.753833 -random_masked_reverse,73,438,8,bucket32_d4,0.955083,0.933583,0.309833,3179,32,4,0,0.051958,3,pass,1.078375;0.909541;0.955083 -random_masked_reverse,73,438,8,bucket32_d16,0.751875,0.705958,0.260042,3402,24,3,0,0.051958,3,pass,0.647541;0.751875;0.849292 -random_masked_reverse,73,438,8,bucket32_d64,0.562917,0.525875,0.168958,4984,16,2,0,0.051958,3,pass,0.564125;0.562917;0.562417 -boundary_700000000,6,10,6,old_pull_serial,0.153083,0.152292,0.015542,360,6,1,0,0.062626,3,pass,0.153083;0.153167;0.149625 -boundary_700000000,6,10,6,old_group_serial,0.116958,0.116291,0.007083,160,5,1,0,0.062626,3,pass,0.116958;0.116375;0.242875 -boundary_700000000,6,10,6,old_pull_parallel_dag,0.160958,0.133625,0.013250,360,6,1,0,0.062626,3,pass,0.160958;0.163917;0.160375 -boundary_700000000,6,10,6,old_group_parallel_dag,0.128709,0.114500,0.007042,160,5,1,0,0.062626,3,pass,0.132541;0.128666;0.128709 -boundary_700000000,6,10,6,pull64_barrier,0.170584,0.154583,0.015000,360,6,1,0,0.062626,3,pass,0.170584;0.153833;0.171750 -boundary_700000000,6,10,6,pull64_interleaved,0.190334,0.165417,0.015666,360,6,1,0,0.062626,3,pass,0.186125;0.199333;0.190334 -boundary_700000000,6,10,6,pull32_interleaved,0.209125,0.182333,0.017250,360,6,1,0,0.062626,3,pass,0.210917;0.208625;0.209125 -boundary_700000000,6,10,6,pull32_gpu_dag,0.464958,0.162958,0.024458,360,6,3,0,0.062626,3,pass,0.460833;0.464958;0.468666 -boundary_700000000,6,10,6,frontier32_vertex,0.206792,0.182250,0.045667,24,8,1,0,0.062626,3,pass,0.243416;0.187625;0.206792 -boundary_700000000,6,10,6,frontier32_simd,0.193166,0.173584,0.042917,24,8,1,0,0.062626,3,pass,0.192167;0.212625;0.193166 -boundary_700000000,6,10,6,frontier32_gpu_dag,0.534000,0.215708,0.059417,24,8,3,0,0.062626,3,pass,0.534000;0.603250;0.530958 -boundary_700000000,6,10,6,bucket32_d4,0.290250,0.259750,0.085292,24,8,1,0,0.062626,3,pass,0.274625;0.290250;0.293083 -boundary_700000000,6,10,6,bucket32_d16,0.269250,0.236084,0.071083,24,8,1,0,0.062626,3,pass,0.265084;0.269250;0.281958 -boundary_700000000,6,10,6,bucket32_d64,0.271583,0.238833,0.073458,24,8,1,0,0.062626,3,pass,0.271583;0.256542;0.276333 -boundary_700000000_masked,6,10,6,old_pull_serial,0.132750,0.132042,0.013667,360,6,1,0,0.047500,3,pass,0.132750;0.225500;0.121625 -boundary_700000000_masked,6,10,6,old_group_serial,0.111833,0.111250,0.004667,80,2,1,0,0.047500,3,pass,0.111833;0.112875;0.109333 -boundary_700000000_masked,6,10,6,old_pull_parallel_dag,0.168000,0.135250,0.012875,360,6,1,0,0.047500,3,pass,0.168000;0.158167;0.168750 -boundary_700000000_masked,6,10,6,old_group_parallel_dag,0.151708,0.120958,0.004750,80,2,1,0,0.047500,3,pass,0.151708;0.149333;0.182959 -boundary_700000000_masked,6,10,6,pull64_barrier,0.190958,0.166041,0.015125,360,6,1,0,0.047500,3,pass,0.192667;0.190958;0.189958 -boundary_700000000_masked,6,10,6,pull64_interleaved,0.225917,0.194458,0.018250,360,6,1,0,0.047500,3,pass,0.226292;0.225917;0.211375 -boundary_700000000_masked,6,10,6,pull32_interleaved,0.214167,0.182959,0.017125,360,6,1,0,0.047500,3,pass,0.203500;0.214167;0.214666 -boundary_700000000_masked,6,10,6,pull32_gpu_dag,0.430208,0.142292,0.023583,360,6,3,0,0.047500,3,pass,0.430208;0.390208;0.433958 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-boundary_9007199254740993_reverse,6,10,6,frontier32_simd,0.179542,0.141500,0.014250,360,6,1,1,0.050126,3,pass,0.168500;0.179542;0.238833 -boundary_9007199254740993_reverse,6,10,6,frontier32_gpu_dag,0.379959,0.137208,0.023500,360,6,3,1,0.050126,3,pass,0.380500;0.358625;0.379959 -boundary_9007199254740993_reverse,6,10,6,bucket32_d4,0.196292,0.171875,0.014500,360,6,1,1,0.050126,3,pass,0.163083;0.196292;0.347041 -boundary_9007199254740993_reverse,6,10,6,bucket32_d16,0.175666,0.155333,0.014958,360,6,1,1,0.050126,3,pass,0.157667;0.231708;0.175666 -boundary_9007199254740993_reverse,6,10,6,bucket32_d64,0.190459,0.151084,0.015333,360,6,1,1,0.050126,3,pass,0.240750;0.190459;0.167292 -boundary_9007199254740993_reverse_masked,6,10,6,old_pull_serial,0.124667,0.124083,0.015542,360,6,1,0,0.052000,3,pass,0.124750;0.124667;0.123667 -boundary_9007199254740993_reverse_masked,6,10,6,old_group_serial,0.099584,0.098583,0.004750,90,2,1,0,0.052000,3,pass,0.100834;0.093209;0.099584 -boundary_9007199254740993_reverse_masked,6,10,6,old_pull_parallel_dag,0.153292,0.125583,0.015208,360,6,1,0,0.052000,3,pass,0.153292;0.151333;0.153875 -boundary_9007199254740993_reverse_masked,6,10,6,old_group_parallel_dag,0.127750,0.094666,0.004750,90,2,1,0,0.052000,3,pass,0.120042;0.129625;0.127750 -boundary_9007199254740993_reverse_masked,6,10,6,pull64_barrier,0.219833,0.181916,0.015375,360,6,1,0,0.052000,3,pass,0.148166;0.282542;0.219833 -boundary_9007199254740993_reverse_masked,6,10,6,pull64_interleaved,0.188667,0.157459,0.017625,360,6,1,0,0.052000,3,pass,0.188667;0.161000;0.282667 -boundary_9007199254740993_reverse_masked,6,10,6,pull32_interleaved,0.184958,0.157708,0.017792,360,6,1,1,0.052000,3,pass,0.199709;0.184958;0.184500 -boundary_9007199254740993_reverse_masked,6,10,6,pull32_gpu_dag,0.490041,0.163625,0.027375,360,6,3,1,0.052000,3,pass,0.540292;0.427375;0.490041 -boundary_9007199254740993_reverse_masked,6,10,6,frontier32_vertex,0.221041,0.194458,0.017542,360,6,1,1,0.052000,3,pass,0.221041;0.194292;0.230875 -boundary_9007199254740993_reverse_masked,6,10,6,frontier32_simd,0.172083,0.145625,0.015625,360,6,1,1,0.052000,3,pass,0.174542;0.172083;0.160959 -boundary_9007199254740993_reverse_masked,6,10,6,frontier32_gpu_dag,0.492375,0.153000,0.026167,360,6,3,1,0.052000,3,pass,0.492375;0.613458;0.419833 -boundary_9007199254740993_reverse_masked,6,10,6,bucket32_d4,0.183167,0.154000,0.014375,360,6,1,1,0.052000,3,pass,0.183167;0.158125;0.202250 -boundary_9007199254740993_reverse_masked,6,10,6,bucket32_d16,0.190542,0.156167,0.018000,360,6,1,1,0.052000,3,pass,0.190542;0.196500;0.181542 -boundary_9007199254740993_reverse_masked,6,10,6,bucket32_d64,0.186166,0.161334,0.017917,360,6,1,1,0.052000,3,pass,0.186166;0.183459;0.225917 diff --git a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/a1-stderr.txt b/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/a1-stderr.txt deleted file mode 100644 index e69de29..0000000 diff --git a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/a1.csv b/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/a1.csv deleted file mode 100644 index fdbf690..0000000 --- a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/a1.csv +++ /dev/null @@ -1,15 +0,0 @@ -case,n,e,queries,method,wall_ms,samples,correct,wall_samples_ms -random,1024,8192,1,cpu_heap_cached_full,0.052958,7,pass,0.055375;0.051625;0.052917;0.051458;0.052958;0.058583;0.058166 -random,1024,8192,1,cpu_dial_full,0.027667,7,pass,0.030167;0.030541;0.028125;0.027667;0.027250;0.026833;0.026375 -random,4096,32768,256,cpu_heap_cached_full,13.029500,7,pass,13.029500;13.040792;13.013792;13.009291;13.009958;13.036750;14.042792 -random,4096,32768,256,cpu_dial_full,7.056208,7,pass,7.469875;7.434375;7.234209;6.965958;6.996125;7.056208;7.033417 -random,16384,131072,64,cpu_heap_cached_full,17.500459,7,pass,17.562542;17.286708;17.264542;17.357083;17.652583;17.583833;17.500459 -random,16384,131072,64,cpu_dial_full,7.696333,7,pass,7.668375;7.706958;7.745167;7.718791;7.696333;7.663042;7.625000 -random,65536,524288,1,cpu_heap_cached_full,11.474125,7,pass,11.148208;11.188916;11.564208;11.558541;11.339750;11.482000;11.474125 -random,65536,524288,1,cpu_dial_full,4.384459,7,pass,4.454542;4.378833;4.385375;4.329667;4.531666;4.312333;4.384459 -random,4096,131072,64,cpu_heap_cached_full,6.672416,7,pass,6.661917;6.739334;6.643583;6.657541;6.681834;6.698125;6.672416 -random,4096,131072,64,cpu_dial_full,3.853958,7,pass,3.851458;3.853958;3.815916;3.857375;3.879833;3.874917;3.831292 -clos,800,320000,64,cpu_heap_cached_full,5.124625,7,pass,5.071875;5.124625;5.096666;5.870542;5.049958;5.355042;5.716333 -clos,800,320000,64,cpu_dial_full,5.421083,7,pass,5.830666;5.848000;5.917417;5.170042;5.150375;5.105084;5.421083 -grid,10000,39600,1,cpu_heap_cached_full,0.200833,7,pass,0.200833;0.257167;0.200416;0.202250;0.192083;0.180000;0.204292 -grid,10000,39600,1,cpu_dial_full,0.126041,7,pass,0.119416;0.116334;0.126041;0.115459;0.129583;0.129291;0.132166 diff --git a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/a2-stderr.txt b/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/a2-stderr.txt deleted file mode 100644 index e69de29..0000000 diff --git a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/a2.csv b/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/a2.csv deleted file mode 100644 index 024e84a..0000000 --- a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/a2.csv +++ /dev/null @@ -1,15 +0,0 @@ -case,n,e,queries,method,wall_ms,samples,correct,wall_samples_ms -random,1024,8192,1,cpu_heap_cached_full,0.059333,7,pass,0.061000;0.064709;0.059916;0.058375;0.058000;0.059333;0.052125 -random,1024,8192,1,cpu_dial_full,0.030000,7,pass,0.034542;0.033125;0.031083;0.029209;0.027208;0.027000;0.030000 -random,4096,32768,256,cpu_heap_cached_full,13.024459,7,pass,13.041833;13.021250;13.009584;13.024459;13.033625;13.042542;12.991958 -random,4096,32768,256,cpu_dial_full,6.924667,7,pass,7.101083;6.924792;7.021833;6.864833;6.924667;6.870667;6.819209 -random,16384,131072,64,cpu_heap_cached_full,17.268250,7,pass,17.273042;17.266000;17.288208;17.268250;17.267209;17.275833;17.255375 -random,16384,131072,64,cpu_dial_full,7.677208,7,pass,7.677208;7.706875;7.657458;7.665875;7.719333;7.661292;7.683000 -random,65536,524288,1,cpu_heap_cached_full,11.530166,7,pass,11.564417;11.470750;11.483750;11.310125;11.569583;11.530166;11.626875 -random,65536,524288,1,cpu_dial_full,4.372167,7,pass,4.378333;4.454333;4.364667;4.227000;4.345917;4.372167;4.389167 -random,4096,131072,64,cpu_heap_cached_full,6.661792,7,pass,6.657041;6.646792;6.646166;6.707916;6.693375;6.663542;6.661792 -random,4096,131072,64,cpu_dial_full,3.865375,7,pass,3.805375;3.811917;3.905625;3.897042;3.809458;3.865375;3.871209 -clos,800,320000,64,cpu_heap_cached_full,5.390792,7,pass,5.126500;5.165833;15.349250;5.390792;5.835791;5.412709;5.085000 -clos,800,320000,64,cpu_dial_full,5.537125,7,pass,5.858500;5.165833;5.832709;5.052833;5.651083;5.096667;5.537125 -grid,10000,39600,1,cpu_heap_cached_full,0.193709,7,pass,0.196375;0.197750;0.194000;0.193083;0.193208;0.193500;0.193709 -grid,10000,39600,1,cpu_dial_full,0.128833,7,pass,0.125792;0.133583;0.128833;0.130583;0.127667;0.127958;0.137959 diff --git a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/b-stderr.txt b/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/b-stderr.txt deleted file mode 100644 index 3f8d1ea..0000000 --- a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/b-stderr.txt +++ /dev/null @@ -1 +0,0 @@ -device=Apple M4 Max setup_ms=23.7095 execution_width=32 diff --git a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/b.csv b/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/b.csv deleted file mode 100644 index 0abc818..0000000 --- a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/b.csv +++ /dev/null @@ -1,217 +0,0 @@ -case,n,e,queries,method,wall_ms,distance_ms,gpu_ms,edge_visits,rounds,waits,fallback64,upload_ms,samples,correct,wall_samples_ms -random,1024,8192,1,old_pull_parallel_dag,0.735000,0.722250,0.424250,131072,16,2,0,0.152417,7,pass,1.450333;1.486334;0.967291;0.691833;0.685125;0.682417;0.735000 -random,1024,8192,1,old_group_parallel_dag,0.894458,0.850750,0.680500,106496,13,1,0,0.152417,7,pass,0.924500;0.981625;0.889666;0.890459;0.909083;0.894458;0.841666 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-chain,2048,2047,1,pull64_barrier,30.510625,30.503291,4.811082,4192256,2048,256,0,0.125625,7,pass,30.510625;30.138791;31.022291;31.066500;26.890709;30.860167;28.175541 -chain,2048,2047,1,pull64_interleaved,31.047791,31.040250,4.944002,4192256,2048,256,0,0.125625,7,pass,28.758083;30.971667;31.047791;31.266083;31.732750;31.417208;30.582792 -chain,2048,2047,1,pull32_interleaved,30.664125,30.657666,4.841290,4192256,2048,256,0,0.125625,7,pass,30.888709;30.521792;30.642750;30.218834;30.664125;31.991916;30.833417 -chain,2048,2047,1,pull32_gpu_dag,31.190750,30.903459,4.845919,4192256,2048,258,0,0.125625,7,pass,30.740917;32.332792;30.644417;31.678750;31.051166;31.380667;31.190750 -chain,2048,2047,1,frontier32_vertex,39.637750,39.628292,12.972585,2047,2048,256,0,0.125625,7,pass,38.372083;40.031083;39.313000;39.637750;40.304916;40.453458;39.255125 -chain,2048,2047,1,frontier32_simd,39.789917,39.782625,12.911460,2047,2048,256,0,0.125625,7,pass,39.902750;39.872792;39.987917;39.789917;39.650792;36.553375;36.089750 -chain,2048,2047,1,frontier32_gpu_dag,70.724250,70.461750,44.595246,2047,2048,258,0,0.125625,7,pass,43.906625;58.636625;70.313917;71.726083;70.724250;76.852417;73.861208 -chain,2048,2047,1,bucket32_d4,58.239375,58.233417,21.375416,2047,2056,257,0,0.125625,7,pass,62.646291;58.284083;58.239375;53.150791;53.433666;55.449542;58.410250 -chain,2048,2047,1,bucket32_d16,57.210791,57.204375,20.963166,2047,2056,257,0,0.125625,7,pass,59.173458;58.572625;55.714083;58.005042;56.776000;56.803584;57.210791 -chain,2048,2047,1,bucket32_d64,57.298833,57.291750,20.994749,2047,2056,257,0,0.125625,7,pass,58.199167;57.298833;57.227292;56.298000;57.819334;57.979250;57.193708 -hub,4096,12286,64,old_pull_parallel_dag,32.738459,32.377000,30.834542,31452160,40,5,0,0.298792,7,pass,32.488459;32.939417;32.738459;32.991250;32.959542;32.400500;32.294959 -hub,4096,12286,64,old_group_parallel_dag,26.029167,25.650958,24.950500,27176632,38,1,0,0.298792,7,pass,26.056500;25.595459;25.674875;26.214084;26.029167;25.727042;26.054042 -hub,4096,12286,64,pull64_barrier,25.705500,25.271334,23.640292,31452160,40,5,0,0.298792,7,pass,25.705500;25.445917;25.780125;25.710875;25.734959;25.565792;25.261959 -hub,4096,12286,64,pull64_interleaved,33.502333,33.108584,31.536709,31452160,40,5,0,0.298792,7,pass,33.577666;33.502333;33.523417;32.882208;33.813209;32.886458;32.949750 -hub,4096,12286,64,pull32_interleaved,28.909250,28.554916,26.900000,31452160,40,5,0,0.298792,7,pass,29.039750;29.081500;28.383209;28.651958;29.064083;28.784208;28.909250 -hub,4096,12286,64,pull32_gpu_dag,31.414959,28.520625,29.230000,31452160,40,7,0,0.298792,7,pass,31.416583;31.781542;31.181542;30.931833;30.765958;31.968583;31.414959 -hub,4096,12286,64,frontier32_vertex,20.297708,19.929541,18.721708,1860120,40,5,0,0.298792,7,pass,20.734375;20.408333;20.049834;20.663792;20.297708;20.041916;20.265708 -hub,4096,12286,64,frontier32_simd,3.727542,3.299791,1.927041,1683322,40,5,0,0.298792,7,pass,3.644167;3.743041;3.727542;3.766667;3.927708;3.695166;3.035375 -hub,4096,12286,64,frontier32_gpu_dag,4.851209,2.763917,3.502458,1683264,40,7,0,0.298792,7,pass,5.212083;5.300875;4.645584;5.398958;4.851209;4.829000;4.836417 -hub,4096,12286,64,bucket32_d4,5.104875,4.739583,3.097417,788342,48,6,0,0.298792,7,pass,5.103375;5.319250;4.142667;4.426417;5.111667;5.148000;5.104875 -hub,4096,12286,64,bucket32_d16,4.303667,3.919791,2.909334,1124798,48,6,0,0.298792,7,pass,4.303667;4.285250;4.624542;4.287916;5.023958;4.240125;4.605209 -hub,4096,12286,64,bucket32_d64,5.089709,4.662958,3.317292,1925862,40,5,0,0.298792,7,pass,5.089709;5.218125;4.996917;4.812292;5.010000;5.321542;5.098500 -random,4096,131072,1,old_pull_parallel_dag,0.658209,0.484209,0.253500,2097152,16,2,0,1.704166,7,pass,0.723083;0.796000;0.658209;0.628833;0.644125;0.789625;0.628666 -random,4096,131072,1,old_group_parallel_dag,2.587292,2.399042,2.250625,1572864,12,1,0,1.704166,7,pass,2.567417;2.631125;2.647459;2.869250;2.513167;2.540333;2.587292 -random,4096,131072,1,pull64_barrier,0.643792,0.480417,0.225417,2097152,16,2,0,1.704166,7,pass,0.735542;0.628042;0.658500;0.665917;0.606791;0.634125;0.643792 -random,4096,131072,1,pull64_interleaved,0.650875,0.473000,0.234000,2097152,16,2,0,1.704166,7,pass,0.683042;0.650875;0.649917;0.626042;0.676500;0.636708;0.745083 -random,4096,131072,1,pull32_interleaved,0.611750,0.425333,0.179125,2097152,16,2,0,1.704166,7,pass,0.597042;0.595916;0.700375;0.611750;0.666083;0.629375;0.580167 -random,4096,131072,1,pull32_gpu_dag,0.814708,0.427917,0.224333,2097152,16,4,0,1.704166,7,pass,0.887750;0.819917;0.814708;0.757125;0.782916;0.782916;0.876000 -random,4096,131072,1,frontier32_vertex,0.777709,0.585167,0.335250,421760,16,2,0,1.704166,7,pass,0.777709;0.797958;0.748917;0.738459;0.794458;0.812375;0.721792 -random,4096,131072,1,frontier32_simd,0.561292,0.368875,0.129875,380192,16,2,0,1.704166,7,pass,0.808000;0.621666;0.561292;0.586125;0.541750;0.528000;0.542708 -random,4096,131072,1,frontier32_gpu_dag,0.777250,0.385500,0.168708,383328,16,4,0,1.704166,7,pass,0.674667;0.689959;0.777250;0.722875;0.854583;0.851667;0.782792 -random,4096,131072,1,bucket32_d4,0.824625,0.642167,0.249917,138720,24,3,0,1.704166,7,pass,0.809458;0.865917;0.824625;0.797333;0.853083;0.871667;0.757959 -random,4096,131072,1,bucket32_d16,0.661125,0.483250,0.199875,177408,16,2,0,1.704166,7,pass,0.662167;0.594250;0.638917;0.688375;0.698750;0.661125;0.649625 -random,4096,131072,1,bucket32_d64,0.615709,0.447834,0.194416,379648,16,2,0,1.704166,7,pass,0.572500;0.579000;0.727541;0.596792;0.615709;0.641250;0.683708 -random,4096,131072,64,old_pull_parallel_dag,9.242792,7.142292,6.265125,134217728,16,2,0,1.900000,7,pass,9.382709;9.053834;9.288833;9.441250;9.242792;8.910334;8.492458 -random,4096,131072,64,old_group_parallel_dag,6.136250,4.016875,3.290875,105644032,15,1,0,1.900000,7,pass,6.136250;6.189875;6.174375;6.008625;6.319916;5.805792;6.047625 -random,4096,131072,64,pull64_barrier,9.428125,7.314208,6.387583,134217728,16,2,0,1.900000,7,pass,10.098667;9.488167;9.428125;9.195458;10.087334;9.325500;9.205917 -random,4096,131072,64,pull64_interleaved,4.731458,2.589250,1.742166,134217728,16,2,0,1.900000,7,pass,4.093542;4.623375;4.798500;4.829542;4.576750;4.731458;4.879333 -random,4096,131072,64,pull32_interleaved,4.225208,2.210041,1.545917,134217728,16,2,0,1.900000,7,pass,4.413500;4.056459;4.225208;5.849208;6.273542;3.443458;3.763917 -random,4096,131072,64,pull32_gpu_dag,2.215000,1.628334,0.809417,134217728,16,4,0,1.900000,7,pass,4.834667;2.066875;2.150542;2.482250;2.217375;2.215000;1.987125 -random,4096,131072,64,frontier32_vertex,5.298958,3.305375,2.517000,22687072,16,2,0,1.900000,7,pass,6.278583;5.896708;5.273833;5.298958;5.188625;5.321541;4.794333 -random,4096,131072,64,frontier32_simd,4.818459,2.921834,1.971000,22886848,16,2,0,1.900000,7,pass,4.792250;4.818459;4.646292;5.055042;5.800500;5.912625;4.697458 -random,4096,131072,64,frontier32_gpu_dag,4.070083,2.819250,2.716417,22966880,16,4,0,1.900000,7,pass,4.098292;3.579583;4.282125;4.248541;3.964916;4.070083;3.906708 -random,4096,131072,64,bucket32_d4,5.638750,3.371833,2.416875,8804704,24,3,0,1.900000,7,pass,5.033750;4.330250;5.638750;5.774958;4.382750;6.163708;5.996584 -random,4096,131072,64,bucket32_d16,6.013709,2.810958,1.843083,12114144,24,3,0,1.900000,7,pass,5.143208;6.767583;5.024625;7.537250;8.913666;5.057708;6.013709 -random,4096,131072,64,bucket32_d64,5.196750,3.178125,2.351542,23254592,16,2,0,1.900000,7,pass,4.848708;5.196750;12.365125;5.578958;5.030667;4.926417;5.383084 diff --git a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/environment.txt b/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/environment.txt deleted file mode 100644 index 0a72477..0000000 --- a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/environment.txt +++ /dev/null @@ -1,5 +0,0 @@ -2026-09-26T23:34:36Z -fbab119e794c843838f4f3f96d75cb7f32f06845 -44962b5bd1dba6ecfc8d1449e324875e35ebe373e3f33aef779be12d9cb3fd65 dev/research/metal_pathfinding/optimization/cpu_algorithms.mm -5336a17369edf018c33267e7765d20bffe8beaed3b8fb9f4e23053942cd3b73c build/metal_pathfinding/cpu-algorithms -7bb649ffcd34e6be02ab14c35767b816b0b32ce3ee3c2fd91c199e4b37a837ce build/metal_pathfinding/optimized diff --git a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/gpu-load-a1.txt b/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/gpu-load-a1.txt deleted file mode 100644 index bb14b8c..0000000 --- a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/gpu-load-a1.txt +++ /dev/null @@ -1 +0,0 @@ - | "PerformanceStatistics" = {"In use system memory (driver)"=0,"Alloc system memory"=10962583552,"Tiler Utilization %"=10,"recoveryCount"=0,"lastRecoveryTime"=0,"Renderer Utilization %"=16,"TiledSceneBytes"=1507328,"Device Utilization %"=25,"SplitSceneCount"=0,"Allocated PB Size"=188219392,"In use system memory"=1329561600} diff --git a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/gpu-load-a2.txt b/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/gpu-load-a2.txt deleted file mode 100644 index 75d8bdd..0000000 --- a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/gpu-load-a2.txt +++ /dev/null @@ -1 +0,0 @@ - | "PerformanceStatistics" = {"In use system memory (driver)"=0,"Alloc system memory"=11424284672,"Tiler Utilization %"=2,"recoveryCount"=0,"lastRecoveryTime"=0,"Renderer Utilization %"=4,"TiledSceneBytes"=1507328,"Device Utilization %"=63,"SplitSceneCount"=0,"Allocated PB Size"=191889408,"In use system memory"=1508343808} diff --git a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/gpu-load-b.txt b/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/gpu-load-b.txt deleted file mode 100644 index 137719b..0000000 --- a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/gpu-load-b.txt +++ /dev/null @@ -1 +0,0 @@ - | "PerformanceStatistics" = {"In use system memory (driver)"=0,"Alloc system memory"=11044798464,"Tiler Utilization %"=0,"recoveryCount"=0,"lastRecoveryTime"=0,"Renderer Utilization %"=0,"TiledSceneBytes"=1507328,"Device Utilization %"=0,"SplitSceneCount"=0,"Allocated PB Size"=191496192,"In use system memory"=1353957376} diff --git a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/load-a1.txt b/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/load-a1.txt deleted file mode 100644 index 087f07d..0000000 --- a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/load-a1.txt +++ /dev/null @@ -1,40 +0,0 @@ -Processes: 1028 total, 2 running, 1026 sleeping, 5245 threads -2026/09/27 00:34:36 -Load Avg: 3.83, 3.81, 4.16 -CPU usage: 5.4% user, 9.75% sys, 85.20% idle -SharedLibs: 924M resident, 170M data, 136M linkedit. -MemRegions: 626142 total, 10G resident, 746M private, 4380M shared. -PhysMem: 34G used (3950M wired, 625M compressor), 1287M unused. -VM: 453T vsize, 6144M framework vsize, 2846254(0) swapins, 4729331(0) swapouts. -Networks: packets: 191220681/161G in, 146692457/164G out. -Disks: 97851346/2478G read, 117478369/2101G written. - -PID COMMAND %CPU #TH -99753 mscamerad-xpc 0.0 2 -99752 PlugInLibrarySer 0.0 2 -99750 QuickLookUIServi 0.0 3 -99749 com.apple.appkit 0.0 3 -99710 PlugInLibrarySer 0.0 2 -99709 Preview 0.0 4 -99428 crashpad_handler 0.0 4 -98995 crashpad_handler 0.0 4 -Processes: 1028 total, 2 running, 1026 sleeping, 5225 threads -2026/09/27 00:34:37 -Load Avg: 3.83, 3.81, 4.16 -CPU usage: 6.82% user, 4.74% sys, 88.43% idle -SharedLibs: 924M resident, 170M data, 136M linkedit. -MemRegions: 0 total, 0B resident, 746M private, 4380M shared. -PhysMem: 34G used (3956M wired, 625M compressor), 1290M unused. -VM: 453T vsize, 6144M framework vsize, 2846254(0) swapins, 4729331(0) swapouts. -Networks: packets: 191220845/161G in, 146692617/164G out. -Disks: 97851346/2478G read, 117478371/2101G written. - -PID COMMAND %CPU #TH -590 WindowServer 28.7 28 -70968 Superset Helper 21.6 32 -0 kernel_task 12.1 850/14 -35069 top 9.0 1/1 -21666 2.1.283 7.7 28 -70942 Superset Helper 7.2 19 -81804 2.1.283 5.2 21 -621 airportd 3.7 9 diff --git a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/load-a2.txt b/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/load-a2.txt deleted file mode 100644 index 07d79ae..0000000 --- a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/load-a2.txt +++ /dev/null @@ -1,40 +0,0 @@ -Processes: 1021 total, 3 running, 1018 sleeping, 5225 threads -2026/09/27 00:35:39 -Load Avg: 3.30, 3.68, 4.08 -CPU usage: 23.58% user, 16.59% sys, 59.82% idle -SharedLibs: 924M resident, 170M data, 136M linkedit. -MemRegions: 638937 total, 10G resident, 739M private, 4394M shared. -PhysMem: 34G used (4923M wired, 625M compressor), 767M unused. -VM: 451T vsize, 6144M framework vsize, 2846260(0) swapins, 4729331(0) swapouts. -Networks: packets: 191239397/161G in, 146716076/164G out. -Disks: 97852171/2478G read, 117481152/2101G written. - -PID COMMAND %CPU #TH -99753 mscamerad-xpc 0.0 2 -99752 PlugInLibrarySer 0.0 2 -99750 QuickLookUIServi 0.0 3 -99749 com.apple.appkit 0.0 3 -99710 PlugInLibrarySer 0.0 2 -99709 Preview 0.0 4 -99428 crashpad_handler 0.0 4 -98995 crashpad_handler 0.0 4 -Processes: 1020 total, 7 running, 1013 sleeping, 5228 threads -2026/09/27 00:35:40 -Load Avg: 3.30, 3.68, 4.08 -CPU usage: 14.96% user, 7.41% sys, 77.61% idle -SharedLibs: 924M resident, 170M data, 136M linkedit. -MemRegions: 0 total, 0B resident, 739M private, 4394M shared. -PhysMem: 34G used (4111M wired, 625M compressor), 910M unused. -VM: 451T vsize, 6144M framework vsize, 2846260(0) swapins, 4729331(0) swapouts. -Networks: packets: 191239878/161G in, 146716829/164G out. -Disks: 97852524/2478G read, 117481160/2101G written. - -PID COMMAND %CPU #TH -41532 Google Chrome He 54.7 26/1 -590 WindowServer 26.7 28/1 -95916 Google Chrome 17.7 46 -0 kernel_task 17.2 850/14 -70968 Superset Helper 15.2 32 -21666 2.1.283 9.4 27 -41571 top 7.9 1/1 -28991 Muse 6.2 29 diff --git a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/load-b.txt b/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/load-b.txt deleted file mode 100644 index 5461de5..0000000 --- a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/load-b.txt +++ /dev/null @@ -1,40 +0,0 @@ -Processes: 1032 total, 5 running, 1027 sleeping, 5271 threads -2026/09/27 00:34:45 -Load Avg: 3.77, 3.80, 4.15 -CPU usage: 19.63% user, 13.49% sys, 66.87% idle -SharedLibs: 924M resident, 170M data, 136M linkedit. -MemRegions: 639550 total, 10G resident, 748M private, 4376M shared. -PhysMem: 34G used (3953M wired, 625M compressor), 943M unused. -VM: 456T vsize, 6144M framework vsize, 2846254(0) swapins, 4729331(0) swapouts. -Networks: packets: 191222619/161G in, 146695003/164G out. -Disks: 97851375/2478G read, 117478676/2101G written. - -PID COMMAND %CPU #TH -99753 mscamerad-xpc 0.0 2 -99752 PlugInLibrarySer 0.0 2 -99750 QuickLookUIServi 0.0 3 -99749 com.apple.appkit 0.0 3 -99710 PlugInLibrarySer 0.0 2 -99709 Preview 0.0 4 -99428 crashpad_handler 0.0 4 -98995 crashpad_handler 0.0 4 -Processes: 1029 total, 4 running, 1025 sleeping, 5262 threads -2026/09/27 00:34:46 -Load Avg: 3.77, 3.80, 4.15 -CPU usage: 17.4% user, 6.64% sys, 76.30% idle -SharedLibs: 924M resident, 170M data, 136M linkedit. -MemRegions: 0 total, 0B resident, 748M private, 4376M shared. -PhysMem: 34G used (3977M wired, 625M compressor), 1023M unused. -VM: 455T vsize, 6144M framework vsize, 2846254(0) swapins, 4729331(0) swapouts. -Networks: packets: 191223281/161G in, 146696242/164G out. -Disks: 97851377/2478G read, 117478696/2101G written. - -PID COMMAND %CPU #TH -35242 Google Chrome He 59.1 25/1 -590 WindowServer 29.1 27 -95916 Google Chrome 18.9 46 -70968 Superset Helper 15.9 32 -0 kernel_task 15.0 850/15 -81804 2.1.283 7.7 27 -35565 top 7.6 1/1 -21666 2.1.283 7.3 27 diff --git a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/summary.json b/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/summary.json deleted file mode 100644 index 9ab7903..0000000 --- a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/summary.json +++ /dev/null @@ -1,248 +0,0 @@ -{ - "phase_rows": { - "a1": 14, - "b": 216, - "a2": 14 - }, - "checked_query_results": 88056, - "summary": [ - { - "case": [ - "random", - "1024", - "8192", - "1" - ], - "heap_a1_a2": [ - 0.052958, - 0.059333 - ], - "dial_a1_a2": [ - 0.027667, - 0.03 - ], - "best_gpu": { - "case": "random", - "n": "1024", - "e": "8192", - "queries": "1", - "method": "pull32_interleaved", - "wall_ms": "0.633625", - "distance_ms": "0.621125", - "gpu_ms": "0.349458", - "edge_visits": "131072", - "rounds": "16", - "waits": "2", - "fallback64": "0", - "upload_ms": "0.152417", - "samples": "7", - "correct": "pass", - "wall_samples_ms": "0.630000;0.633625;0.646917;0.592625;0.621542;0.675042;0.679750" - } - }, - { - "case": [ - "random", - "4096", - "32768", - "256" - ], - "heap_a1_a2": [ - 13.0295, - 13.024459 - ], - "dial_a1_a2": [ - 7.056208, - 6.924667 - ], - "best_gpu": { - "case": "random", - "n": "4096", - "e": "32768", - "queries": "256", - "method": "pull32_gpu_dag", - "wall_ms": "4.001000", - "distance_ms": "3.291333", - "gpu_ms": "2.062708", - "edge_visits": "201326592", - "rounds": "24", - "waits": "5", - "fallback64": "0", - "upload_ms": "0.540417", - "samples": "7", - "correct": "pass", - "wall_samples_ms": "3.925292;8.471750;4.001000;8.828083;3.363250;8.899209;3.259542" - } - }, - { - "case": [ - "random", - "16384", - "131072", - "64" - ], - "heap_a1_a2": [ - 17.500459, - 17.26825 - ], - "dial_a1_a2": [ - 7.696333, - 7.677208 - ], - "best_gpu": { - "case": "random", - "n": "16384", - "e": "131072", - "queries": "64", - "method": "pull32_gpu_dag", - "wall_ms": "3.850875", - "distance_ms": "3.175750", - "gpu_ms": "2.039125", - "edge_visits": "201326592", - "rounds": "24", - "waits": "5", - "fallback64": "0", - "upload_ms": "1.742166", - "samples": "7", - "correct": "pass", - "wall_samples_ms": "8.952083;3.619292;3.631417;8.345083;3.803042;8.516625;3.850875" - } - }, - { - "case": [ - "random", - "65536", - "524288", - "1" - ], - "heap_a1_a2": [ - 11.474125, - 11.530166 - ], - "dial_a1_a2": [ - 4.384459, - 4.372167 - ], - "best_gpu": { - "case": "random", - "n": "65536", - "e": "524288", - "queries": "1", - "method": "pull32_gpu_dag", - "wall_ms": "1.243833", - "distance_ms": "0.853000", - "gpu_ms": "0.567083", - "edge_visits": "12582912", - "rounds": "24", - "waits": "5", - "fallback64": "0", - "upload_ms": "7.594209", - "samples": "7", - "correct": "pass", - "wall_samples_ms": "1.223708;1.245875;1.243833;1.338334;1.271584;1.204125;1.242625" - } - }, - { - "case": [ - "random", - "4096", - "131072", - "64" - ], - "heap_a1_a2": [ - 6.672416, - 6.661792 - ], - "dial_a1_a2": [ - 3.853958, - 3.865375 - ], - "best_gpu": { - "case": "random", - "n": "4096", - "e": "131072", - "queries": "64", - "method": "pull32_gpu_dag", - "wall_ms": "2.215000", - "distance_ms": "1.628334", - "gpu_ms": "0.809417", - "edge_visits": "134217728", - "rounds": "16", - "waits": "4", - "fallback64": "0", - "upload_ms": "1.900000", - "samples": "7", - "correct": "pass", - "wall_samples_ms": "4.834667;2.066875;2.150542;2.482250;2.217375;2.215000;1.987125" - } - }, - { - "case": [ - "clos", - "800", - "320000", - "64" - ], - "heap_a1_a2": [ - 5.124625, - 5.390792 - ], - "dial_a1_a2": [ - 5.421083, - 5.537125 - ], - "best_gpu": { - "case": "clos", - "n": "800", - "e": "320000", - "queries": "64", - "method": "pull32_gpu_dag", - "wall_ms": "8.371875", - "distance_ms": "4.354166", - "gpu_ms": "6.133375", - "edge_visits": "163840000", - "rounds": "8", - "waits": "3", - "fallback64": "0", - "upload_ms": "3.559834", - "samples": "7", - "correct": "pass", - "wall_samples_ms": "7.950875;8.814666;8.371875;7.833334;8.577500;8.882584;6.996125" - } - }, - { - "case": [ - "grid", - "10000", - "39600", - "1" - ], - "heap_a1_a2": [ - 0.200833, - 0.193709 - ], - "dial_a1_a2": [ - 0.126041, - 0.128833 - ], - "best_gpu": { - "case": "grid", - "n": "10000", - "e": "39600", - "queries": "1", - "method": "pull32_gpu_dag", - "wall_ms": "3.250500", - "distance_ms": "2.965875", - "gpu_ms": "0.577125", - "edge_visits": "7920000", - "rounds": "200", - "waits": "27", - "fallback64": "0", - "upload_ms": "0.515708", - "samples": "7", - "correct": "pass", - "wall_samples_ms": "3.552583;3.289542;3.200750;2.978667;3.290000;3.250500;3.223000" - } - } - ] -} diff --git a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/summary.md b/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/summary.md deleted file mode 100644 index ae069d3..0000000 --- a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba/summary.md +++ /dev/null @@ -1,13 +0,0 @@ -# Stronger CPU algorithm A/B/A - -All methods include exact distances and canonical-equivalent positive-cost DAG edge sets. CPU batches use 10 workers. Eligibility is cached outside timing for both devices. Seven measured samples and two checked warmups. These remain exploratory, non-isolated desktop measurements. GPU choice is an oracle across 12 tested variants. - -| Case / N / E / Q | Cached heap + DAG A1 / A2 ms | Dial + DAG A1 / A2 ms | Best GPU B ms | GPU method | -|---|---:|---:|---:|---| -| random / 1024 / 8192 / 1 | 0.053 / 0.059 | 0.028 / 0.030 | 0.634 | pull32_interleaved | -| random / 4096 / 32768 / 256 | 13.030 / 13.024 | 7.056 / 6.925 | 4.001 | pull32_gpu_dag | -| random / 16384 / 131072 / 64 | 17.500 / 17.268 | 7.696 / 7.677 | 3.851 | pull32_gpu_dag | -| random / 65536 / 524288 / 1 | 11.474 / 11.530 | 4.384 / 4.372 | 1.244 | pull32_gpu_dag | -| random / 4096 / 131072 / 64 | 6.672 / 6.662 | 3.854 / 3.865 | 2.215 | pull32_gpu_dag | -| clos / 800 / 320000 / 64 | 5.125 / 5.391 | 5.421 / 5.537 | 8.372 | pull32_gpu_dag | -| grid / 10000 / 39600 / 1 | 0.201 / 0.194 | 0.126 / 0.129 | 3.251 | pull32_gpu_dag | diff --git a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-correctness-stderr.txt b/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-correctness-stderr.txt deleted file mode 100644 index e69de29..0000000 diff --git a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-correctness.csv b/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-correctness.csv deleted file mode 100644 index e07f558..0000000 --- a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-correctness.csv +++ /dev/null @@ -1,25 +0,0 @@ -case,n,e,queries,method,wall_ms,samples,correct,wall_samples_ms -random_masked,40,240,8,cpu_heap_cached_full,0.071250,3,pass,0.071250;0.105375;0.068625 -random_masked,40,240,8,cpu_dial_full,0.098166,3,pass,0.098166;0.102000;0.074667 -random_masked,43,258,8,cpu_heap_cached_full,0.055875,3,pass,0.056250;0.055875;0.050292 -random_masked,43,258,8,cpu_dial_full,0.070917,3,pass,0.075584;0.066958;0.070917 -random_masked,46,276,8,cpu_heap_cached_full,0.046125,3,pass,0.046125;0.068375;0.039542 -random_masked,46,276,8,cpu_dial_full,0.047875,3,pass,0.047875;0.046584;0.048292 -random_masked,49,294,8,cpu_heap_cached_full,0.036167,3,pass,0.036792;0.036167;0.035959 -random_masked,49,294,8,cpu_dial_full,0.071708,3,pass,0.076000;0.066041;0.071708 -random_masked,52,312,8,cpu_heap_cached_full,0.043042,3,pass,0.043042;0.038292;0.045834 -random_masked,52,312,8,cpu_dial_full,0.073292,3,pass,0.073292;0.066792;0.132083 -random_masked,55,330,8,cpu_heap_cached_full,0.081459,3,pass,0.081459;0.110833;0.060291 -random_masked,55,330,8,cpu_dial_full,0.073916,3,pass,0.076041;0.072708;0.073916 -random_masked,58,348,8,cpu_heap_cached_full,0.051208,3,pass,0.050000;0.052500;0.051208 -random_masked,58,348,8,cpu_dial_full,0.076958,3,pass,0.072708;0.076958;0.080125 -random_masked,61,366,8,cpu_heap_cached_full,0.058750,3,pass,0.061791;0.058750;0.057625 -random_masked,61,366,8,cpu_dial_full,0.070542,3,pass,0.098166;0.070542;0.065000 -random_masked,64,384,8,cpu_heap_cached_full,0.039000,3,pass,0.042792;0.039000;0.038334 -random_masked,64,384,8,cpu_dial_full,0.050416,3,pass,0.053541;0.049709;0.050416 -random_masked,67,402,8,cpu_heap_cached_full,0.044000,3,pass,0.044000;0.046917;0.041500 -random_masked,67,402,8,cpu_dial_full,0.060459,3,pass,0.060459;0.064542;0.057333 -random_masked,70,420,8,cpu_heap_cached_full,0.042750,3,pass,0.039958;0.042750;0.046542 -random_masked,70,420,8,cpu_dial_full,0.056625,3,pass,0.056958;0.053167;0.056625 -random_masked,73,438,8,cpu_heap_cached_full,0.043666,3,pass,0.046833;0.043666;0.041209 -random_masked,73,438,8,cpu_dial_full,0.067417,3,pass,0.067417;0.065042;0.072167 diff --git a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-full-sanitized-stderr.txt b/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-full-sanitized-stderr.txt deleted file mode 100644 index e69de29..0000000 diff --git a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-full-sanitized.csv b/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-full-sanitized.csv deleted file mode 100644 index 54cbd5e..0000000 --- a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-full-sanitized.csv +++ /dev/null @@ -1,15 +0,0 @@ -case,n,e,queries,method,wall_ms,samples,correct,wall_samples_ms -random,1024,8192,1,cpu_heap_cached_full,0.293125,2,pass,0.293125;0.276083 -random,1024,8192,1,cpu_dial_full,0.255416,2,pass,0.230334;0.255416 -random,4096,32768,256,cpu_heap_cached_full,36.254208,2,pass,35.992750;36.254208 -random,4096,32768,256,cpu_dial_full,25.138833,2,pass,25.138833;25.111958 -random,16384,131072,64,cpu_heap_cached_full,40.832542,2,pass,40.832542;40.449167 -random,16384,131072,64,cpu_dial_full,26.089500,2,pass,26.089500;25.896417 -random,65536,524288,1,cpu_heap_cached_full,31.633041,2,pass,31.633041;29.508083 -random,65536,524288,1,cpu_dial_full,18.166167,2,pass,17.720125;18.166167 -random,4096,131072,64,cpu_heap_cached_full,19.184083,2,pass,19.184083;19.154291 -random,4096,131072,64,cpu_dial_full,15.231375,2,pass,15.231375;14.640042 -clos,800,320000,64,cpu_heap_cached_full,43.773750,2,pass,43.773750;43.312208 -clos,800,320000,64,cpu_dial_full,43.499792,2,pass,43.499792;42.404333 -grid,10000,39600,1,cpu_heap_cached_full,1.385875,2,pass,1.385875;1.377625 -grid,10000,39600,1,cpu_dial_full,1.141959,2,pass,1.141959;1.111958 diff --git a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-sanitized-stderr.txt b/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-sanitized-stderr.txt deleted file mode 100644 index e69de29..0000000 diff --git a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-sanitized.csv b/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-sanitized.csv deleted file mode 100644 index d524588..0000000 --- a/dev/research/metal_pathfinding/optimization/results/cpu-algorithms-sanitized.csv +++ /dev/null @@ -1,25 +0,0 @@ -case,n,e,queries,method,wall_ms,samples,correct,wall_samples_ms -random_masked,40,240,8,cpu_heap_cached_full,0.043625,3,pass,0.109250;0.043625;0.035917 -random_masked,40,240,8,cpu_dial_full,0.049208,3,pass,0.049208;0.050166;0.036667 -random_masked,43,258,8,cpu_heap_cached_full,0.038792,3,pass,0.035000;0.038792;0.054958 -random_masked,43,258,8,cpu_dial_full,0.046375,3,pass,0.039625;0.057541;0.046375 -random_masked,46,276,8,cpu_heap_cached_full,0.043917,3,pass,0.046292;0.037916;0.043917 -random_masked,46,276,8,cpu_dial_full,0.041042,3,pass,0.038416;0.042791;0.041042 -random_masked,49,294,8,cpu_heap_cached_full,0.037500,3,pass,0.038541;0.037500;0.035583 -random_masked,49,294,8,cpu_dial_full,0.049791,3,pass,0.049791;0.036833;0.064375 -random_masked,52,312,8,cpu_heap_cached_full,0.042708,3,pass,0.042708;0.046125;0.035916 -random_masked,52,312,8,cpu_dial_full,0.068458,3,pass,0.054041;0.072625;0.068458 -random_masked,55,330,8,cpu_heap_cached_full,0.066625,3,pass,0.057458;0.066625;0.068417 -random_masked,55,330,8,cpu_dial_full,0.065458,3,pass,0.076583;0.064750;0.065458 -random_masked,58,348,8,cpu_heap_cached_full,0.055541,3,pass,0.054750;0.055541;0.057458 -random_masked,58,348,8,cpu_dial_full,0.053125,3,pass,0.078167;0.053125;0.052375 -random_masked,61,366,8,cpu_heap_cached_full,0.050625,3,pass,0.050625;0.052167;0.039917 -random_masked,61,366,8,cpu_dial_full,0.058291,3,pass,0.058291;0.039958;0.058917 -random_masked,64,384,8,cpu_heap_cached_full,0.038958,3,pass,0.038958;0.044500;0.037500 -random_masked,64,384,8,cpu_dial_full,0.050000,3,pass,0.050000;0.058875;0.045875 -random_masked,67,402,8,cpu_heap_cached_full,0.042708,3,pass,0.042708;0.039458;0.051000 -random_masked,67,402,8,cpu_dial_full,0.046167,3,pass,0.050625;0.046167;0.045709 -random_masked,70,420,8,cpu_heap_cached_full,0.044000,3,pass,0.047750;0.040458;0.044000 -random_masked,70,420,8,cpu_dial_full,0.053875,3,pass,0.053875;0.053875;0.050334 -random_masked,73,438,8,cpu_heap_cached_full,0.054250,3,pass,0.056334;0.054250;0.046958 -random_masked,73,438,8,cpu_dial_full,0.065000,3,pass,0.069834;0.065000;0.060791 diff --git a/dev/research/metal_pathfinding/optimization/results/sanitize-test.txt b/dev/research/metal_pathfinding/optimization/results/sanitize-test.txt deleted file mode 100644 index 7502c0a..0000000 --- a/dev/research/metal_pathfinding/optimization/results/sanitize-test.txt +++ /dev/null @@ -1,352 +0,0 @@ --- pybind11 not found via config; using FetchContent --- pybind11 v3.0.0 --- Enabling sanitizers (disables optimizations) --- Configuring done (0.6s) --- Generating done (0.0s) --- Build files have been written to: /Users/networmix/ws/NetGraph-Core/build/cpp-sanitize -ninja: no work to do. -Test project /Users/networmix/ws/NetGraph-Core/build/cpp-sanitize - Start 51: ShortestPathsTo.DistancesMatchForwardDistancesToDst - Start 52: ShortestPathsTo.ForwardSpfFromPseudoSourceKeepsOnlyNearestSource - Start 77: FlowState.EqualBalanced_SaturatedMemberBlocksAdmission - Start 78: FlowState.EqualBalanced_ProgressesOnlyThroughResidualAwareSpf - 1/170 Test #77: FlowState.EqualBalanced_SaturatedMemberBlocksAdmission ............................ Passed 0.08 sec - 2/170 Test #78: FlowState.EqualBalanced_ProgressesOnlyThroughResidualAwareSpf ..................... Passed 0.08 sec - Start 54: ShortestPathsTo.FanoutSkipsUnreachableAndMaskedHeads - Start 53: ShortestPathsTo.FanoutEdgesForceEverySourceIntoTheDag - 3/170 Test #51: ShortestPathsTo.DistancesMatchForwardDistancesToDst ............................... Passed 0.09 sec - 4/170 Test #52: ShortestPathsTo.ForwardSpfFromPseudoSourceKeepsOnlyNearestSource .................. Passed 0.09 sec - Start 55: ShortestPathsTo.FanoutFromInteriorNodeIsRejected - Start 56: ShortestPathsTo.SinglePathModeKeepsOneSuccessorPerNode - 5/170 Test #54: ShortestPathsTo.FanoutSkipsUnreachableAndMaskedHeads .............................. Passed 0.05 sec - Start 80: FlowState.EqualBalancedLossy_DeficitPropagatesDownstream - 6/170 Test #53: ShortestPathsTo.FanoutEdgesForceEverySourceIntoTheDag ............................. Passed 0.05 sec - 7/170 Test #55: ShortestPathsTo.FanoutFromInteriorNodeIsRejected .................................. Passed 0.05 sec - Start 79: FlowState.EqualBalancedLossy_FillAndDropReportsDrops - Start 81: FlowState.EqualBalancedLossy_InfiniteRequestFillsWithoutDrops - 8/170 Test #56: ShortestPathsTo.SinglePathModeKeepsOneSuccessorPerNode ............................ Passed 0.05 sec - Start 82: FlowGraph.LossyPlacementIsReversibleAndDropsStayOutOfLedger - 9/170 Test #80: FlowState.EqualBalancedLossy_DeficitPropagatesDownstream .......................... Passed 0.05 sec - 10/170 Test #79: FlowState.EqualBalancedLossy_FillAndDropReportsDrops .............................. Passed 0.05 sec - 11/170 Test #81: FlowState.EqualBalancedLossy_InfiniteRequestFillsWithoutDrops ..................... Passed 0.05 sec - Start 93: FlowGraphStamp.CopiesAndMovesGetFreshUids - Start 94: FlowGraphStamp.EqualVersionDivergentCopiesCompareUnequal - Start 16: FlowPolicyCostBounds.MaxPathCostFactor_HugeProduct_DropsBoundInsteadOfWrapping - 12/170 Test #82: FlowGraph.LossyPlacementIsReversibleAndDropsStayOutOfLedger ....................... Passed 0.05 sec - Start 15: FlowPolicyCostBounds.MaxPathCostFactor_UnreachableDst_KeepsSentinelOutOfTheCast - 13/170 Test #94: FlowGraphStamp.EqualVersionDivergentCopiesCompareUnequal .......................... Passed 0.06 sec - Start 92: FlowGraph.LedgerMicroFlows_RemovalRestoresResidual - 14/170 Test #93: FlowGraphStamp.CopiesAndMovesGetFreshUids ......................................... Passed 0.06 sec - 15/170 Test #16: FlowPolicyCostBounds.MaxPathCostFactor_HugeProduct_DropsBoundInsteadOfWrapping .... Passed 0.06 sec - 16/170 Test #15: FlowPolicyCostBounds.MaxPathCostFactor_UnreachableDst_KeepsSentinelOutOfTheCast ... Passed 0.06 sec - Start 47: ShortestPaths.ResolveToPathsWithMaxPathsLimit - Start 156: MaskingTests.CombinedNodeAndEdgeMasks - Start 169: MaskingTests.AlgorithmsAPIMaskedSource - 17/170 Test #47: ShortestPaths.ResolveToPathsWithMaxPathsLimit ..................................... Passed 0.06 sec - Start 46: ShortestPaths.ResolveToPathsSplittingParallelEdges - 18/170 Test #156: MaskingTests.CombinedNodeAndEdgeMasks ............................................. Passed 0.06 sec - 19/170 Test #169: MaskingTests.AlgorithmsAPIMaskedSource ............................................ Passed 0.06 sec - Start 48: ShortestPaths.LargeGraphStressTest - Start 86: FlowGraph.RemoveByClassFiltersCorrectly - 20/170 Test #92: FlowGraph.LedgerMicroFlows_RemovalRestoresResidual ................................ Passed 0.07 sec - Start 90: FlowGraph.CoalescesDuplicateEdgeIds - 21/170 Test #46: ShortestPaths.ResolveToPathsSplittingParallelEdges ................................ Passed 0.06 sec - Start 163: MaskingTests.MaxFlowWithEdgeMask - 22/170 Test #86: FlowGraph.RemoveByClassFiltersCorrectly ........................................... Passed 0.06 sec - Start 125: MaxFlow.Clos_3Tier_Topology_EqualBalanced_Shortest - 23/170 Test #48: ShortestPaths.LargeGraphStressTest ................................................ Passed 0.06 sec - Start 164: MaskingTests.MaxFlowAllPathsMasked - 24/170 Test #90: FlowGraph.CoalescesDuplicateEdgeIds ............................................... Passed 0.06 sec - Start 128: MaxFlow.ShortestPath_MustSaturateAllEqualCostPaths - 25/170 Test #125: MaxFlow.Clos_3Tier_Topology_EqualBalanced_Shortest ................................ Passed 0.06 sec - Start 98: MaxFlow.DegenerateCase_SourceEqualsSink - 26/170 Test #163: MaskingTests.MaxFlowWithEdgeMask .................................................. Passed 0.06 sec - Start 118: MaxFlow.OptionalOutputs_ResidualAndReachable - 27/170 Test #164: MaskingTests.MaxFlowAllPathsMasked ................................................ Passed 0.06 sec - Start 69: FlowState.ApplyDeltasClampsWithinCapacityBounds - 28/170 Test #128: MaxFlow.ShortestPath_MustSaturateAllEqualCostPaths ................................ Passed 0.06 sec - Start 26: StrictMultiDiGraph.ZeroCostEdges - 29/170 Test #98: MaxFlow.DegenerateCase_SourceEqualsSink ........................................... Passed 0.06 sec - 30/170 Test #118: MaxFlow.OptionalOutputs_ResidualAndReachable ...................................... Passed 0.06 sec - 31/170 Test #69: FlowState.ApplyDeltasClampsWithinCapacityBounds ................................... Passed 0.06 sec - Start 68: FlowState.ResetWithInvalidResidualThrows - Start 168: MaskingTests.AllEdgesMaskedNoReachability - Start 149: MaskingTests.MaskedSourceInComputeMinCut - 32/170 Test #26: StrictMultiDiGraph.ZeroCostEdges .................................................. Passed 0.06 sec - Start 142: KShortestPaths.LooplessPaths - 33/170 Test #68: FlowState.ResetWithInvalidResidualThrows .......................................... Passed 0.06 sec - Start 122: MaxFlow.GridGraph_3x3_MultipleEqualCostPaths - 34/170 Test #168: MaskingTests.AllEdgesMaskedNoReachability ......................................... Passed 0.06 sec - 35/170 Test #149: MaskingTests.MaskedSourceInComputeMinCut .......................................... Passed 0.06 sec - Start 25: StrictMultiDiGraph.MaxCapacityEdges - Start 106: MaxFlow.AsymmetricCapacity_1to1M_NumericalStability - 36/170 Test #142: KShortestPaths.LooplessPaths ...................................................... Passed 0.06 sec - Start 116: MaxFlow.MinCut_ValidEdgeIdentification - 37/170 Test #122: MaxFlow.GridGraph_3x3_MultipleEqualCostPaths ...................................... Passed 0.06 sec - 38/170 Test #25: StrictMultiDiGraph.MaxCapacityEdges ............................................... Passed 0.06 sec - Start 141: KShortestPaths.DisconnectedReturnsEmpty - Start 29: StrictMultiDiGraph.ExtEdgeIdsWrongLengthThrows - 39/170 Test #106: MaxFlow.AsymmetricCapacity_1to1M_NumericalStability ............................... Passed 0.06 sec - Start 96: MaxFlow.SinglePath_BottleneckConstraint - 40/170 Test #116: MaxFlow.MinCut_ValidEdgeIdentification ............................................ Passed 0.06 sec - Start 60: FlowState.EqualBalancedDistribution - 41/170 Test #29: StrictMultiDiGraph.ExtEdgeIdsWrongLengthThrows .................................... Passed 0.06 sec - 42/170 Test #96: MaxFlow.SinglePath_BottleneckConstraint ........................................... Passed 0.06 sec - Start 154: MaskingTests.MaskedEdgeSelectsAlternativePath - Start 95: MaxFlow.SinglePath_BasicLinear - 43/170 Test #141: KShortestPaths.DisconnectedReturnsEmpty ........................................... Passed 0.06 sec - Start 121: MaxFlow.BatchMaxFlow_IndependentMaskApplication - 44/170 Test #60: FlowState.EqualBalancedDistribution ............................................... Passed 0.06 sec - Start 39: ShortestPaths.ResidualAwareFiltering - 45/170 Test #95: MaxFlow.SinglePath_BasicLinear .................................................... Passed 0.06 sec - 46/170 Test #121: MaxFlow.BatchMaxFlow_IndependentMaskApplication ................................... Passed 0.06 sec - Start 63: FlowState.ApplyDeltasSubtractive - Start 136: KShortestPaths.KEqualsZeroReturnsEmpty - 47/170 Test #154: MaskingTests.MaskedEdgeSelectsAlternativePath ..................................... Passed 0.07 sec - 48/170 Test #39: ShortestPaths.ResidualAwareFiltering .............................................. Passed 0.06 sec - Start 117: MaxFlow.CostDistribution_AccountsForAllFlow - Start 44: ShortestPaths.TieBreakingDeterminism - 49/170 Test #63: FlowState.ApplyDeltasSubtractive .................................................. Passed 0.06 sec - Start 151: MaskingTests.MaskedDestinationUnreachable - 50/170 Test #136: KShortestPaths.KEqualsZeroReturnsEmpty ............................................ Passed 0.06 sec - 51/170 Test #117: MaxFlow.CostDistribution_AccountsForAllFlow ....................................... Passed 0.06 sec - 52/170 Test #44: ShortestPaths.TieBreakingDeterminism .............................................. Passed 0.06 sec - Start 104: MaxFlow.ECMP_TenPaths_ScalabilityValidation - Start 85: FlowGraph.RemovalDeletesEntry - Start 138: KShortestPaths.UniqueModeFiltering - 53/170 Test #104: MaxFlow.ECMP_TenPaths_ScalabilityValidation ....................................... Passed 0.06 sec - 54/170 Test #85: FlowGraph.RemovalDeletesEntry ..................................................... Passed 0.06 sec - Start 111: MaxFlow.TwoCostTiers_FullMaxFlow_AllTiers - Start 14: FlowPolicyStatic.ValidationRejectsForeignAndDisconnectedBundles - 55/170 Test #151: MaskingTests.MaskedDestinationUnreachable ......................................... Passed 0.06 sec - 56/170 Test #138: KShortestPaths.UniqueModeFiltering ................................................ Passed 0.06 sec - Start 165: MaskingTests.EmptyNodeMaskAllowsAllNodes - Start 132: MaxFlow.Sensitivity_ShortestPathVsMaxFlow - 57/170 Test #111: MaxFlow.TwoCostTiers_FullMaxFlow_AllTiers ......................................... Passed 0.06 sec - Start 37: ShortestPaths.DisconnectedComponents - 58/170 Test #14: FlowPolicyStatic.ValidationRejectsForeignAndDisconnectedBundles ................... Passed 0.06 sec - 59/170 Test #165: MaskingTests.EmptyNodeMaskAllowsAllNodes .......................................... Passed 0.06 sec - 60/170 Test #132: MaxFlow.Sensitivity_ShortestPathVsMaxFlow ......................................... Passed 0.06 sec - Start 89: FlowGraph.GetFlowPathForDAGReturnsEmpty - Start 124: MaxFlow.Clos_3Tier_Topology_Proportional_Shortest - Start 129: MaxFlow.Sensitivity_SinglePath - 61/170 Test #124: MaxFlow.Clos_3Tier_Topology_Proportional_Shortest ................................. Passed 0.06 sec - 62/170 Test #129: MaxFlow.Sensitivity_SinglePath .................................................... Passed 0.06 sec - Start 91: FlowGraph.LedgerHistory_RemovalRestoresResidual - Start 75: FlowState.Proportional_ZeroCapacityOnShortestPath_ReturnsZero - 63/170 Test #37: ShortestPaths.DisconnectedComponents .............................................. Passed 0.06 sec - 64/170 Test #89: FlowGraph.GetFlowPathForDAGReturnsEmpty ........................................... Passed 0.06 sec - Start 27: StrictMultiDiGraph.InvalidNumNodesThrows - Start 76: FlowState.RepeatedPlacementAfterResetAndIndependentInstancesStayStable - 65/170 Test #91: FlowGraph.LedgerHistory_RemovalRestoresResidual ................................... Passed 0.07 sec - 66/170 Test #75: FlowState.Proportional_ZeroCapacityOnShortestPath_ReturnsZero ..................... Passed 0.07 sec - Start 153: MaskingTests.MaskedEdgeBlocksPath - Start 99: MaxFlow.ECMP_TwoPaths_Proportional_ShortestPath - 67/170 Test #27: StrictMultiDiGraph.InvalidNumNodesThrows .......................................... Passed 0.07 sec - 68/170 Test #76: FlowState.RepeatedPlacementAfterResetAndIndependentInstancesStayStable ............ Passed 0.07 sec - Start 120: MaxFlow.EdgeMask_SelectiveEdgeFiltering - Start 101: MaxFlow.ECMP_TwoPaths_EqualBalanced_ShortestPath - 69/170 Test #120: MaxFlow.EdgeMask_SelectiveEdgeFiltering ........................................... Passed 0.06 sec - Start 35: StrictMultiDiGraph.MultipleCostTiers - 70/170 Test #153: MaskingTests.MaskedEdgeBlocksPath ................................................. Passed 0.06 sec - 71/170 Test #99: MaxFlow.ECMP_TwoPaths_Proportional_ShortestPath ................................... Passed 0.06 sec - 72/170 Test #101: MaxFlow.ECMP_TwoPaths_EqualBalanced_ShortestPath .................................. Passed 0.06 sec - Start 161: MaskingTests.KSPWithEdgeMask - Start 102: MaxFlow.ECMP_ThreePaths_Proportional_ShortestPath - Start 2: FlowPolicyCore.Proportional_SingleDemand_UsesShortestPath - 73/170 Test #35: StrictMultiDiGraph.MultipleCostTiers .............................................. Passed 0.06 sec - Start 167: MaskingTests.AllNodesMaskedNoReachability - 74/170 Test #161: MaskingTests.KSPWithEdgeMask ...................................................... Passed 0.06 sec - 75/170 Test #102: MaxFlow.ECMP_ThreePaths_Proportional_ShortestPath ................................. Passed 0.06 sec - 76/170 Test #2: FlowPolicyCore.Proportional_SingleDemand_UsesShortestPath ......................... Passed 0.06 sec - Start 64: FlowState.MinCutComputation - Start 139: KShortestPaths.MaxCostFactorLimit - Start 3: FlowPolicyCore.Proportional_SingleDemand_SplitsAcrossTwoEqualCostPaths - 77/170 Test #167: MaskingTests.AllNodesMaskedNoReachability ......................................... Passed 0.06 sec - Start 11: FlowPolicyCore.EqualBalanced_ShortestPath_IgnoresHigherCostTier - 78/170 Test #64: FlowState.MinCutComputation ....................................................... Passed 0.06 sec - 79/170 Test #139: KShortestPaths.MaxCostFactorLimit ................................................. Passed 0.06 sec - 80/170 Test #3: FlowPolicyCore.Proportional_SingleDemand_SplitsAcrossTwoEqualCostPaths ............ Passed 0.06 sec - Start 133: MaxFlow.CompletionPhase_RecoversCancellation - Start 18: StrictMultiDiGraph.SingleNode - Start 49: ShortestPaths.RejectsMaskLengthMismatch - 81/170 Test #133: MaxFlow.CompletionPhase_RecoversCancellation ...................................... Passed 0.07 sec - Start 13: FlowPolicyStatic.MaskedBundleIsDown - 82/170 Test #11: FlowPolicyCore.EqualBalanced_ShortestPath_IgnoresHigherCostTier ................... Passed 0.07 sec - 83/170 Test #18: StrictMultiDiGraph.SingleNode ..................................................... Passed 0.07 sec - 84/170 Test #49: ShortestPaths.RejectsMaskLengthMismatch ........................................... Passed 0.07 sec - Start 110: MaxFlow.TwoCostTiers_ShortestPath_SingleTierOnly - Start 100: MaxFlow.ECMP_TwoPaths_Proportional_FullMaxFlow - Start 23: StrictMultiDiGraph.CSROffsetsMonotonicity - 85/170 Test #13: FlowPolicyStatic.MaskedBundleIsDown ............................................... Passed 0.07 sec - 86/170 Test #110: MaxFlow.TwoCostTiers_ShortestPath_SingleTierOnly .................................. Passed 0.07 sec - 87/170 Test #100: MaxFlow.ECMP_TwoPaths_Proportional_FullMaxFlow .................................... Passed 0.07 sec - Start 22: StrictMultiDiGraph.ExternalEdgeIdsPreserved - Start 7: FlowPolicyCore.EqualBalanced_SingleDemand_FlowCount3_SaturatesBothPaths - Start 145: KSP.MaxCostFactorBelowOne_ReturnsEmptyForAllK - 88/170 Test #23: StrictMultiDiGraph.CSROffsetsMonotonicity ......................................... Passed 0.07 sec - Start 119: MaxFlow.NodeMask_BlocksFlowThroughNode - 89/170 Test #22: StrictMultiDiGraph.ExternalEdgeIdsPreserved ....................................... Passed 0.07 sec - 90/170 Test #145: KSP.MaxCostFactorBelowOne_ReturnsEmptyForAllK ..................................... Passed 0.06 sec - Start 65: FlowState.ResetRestoresCapacity - Start 135: KShortestPaths.FindsKPaths - 91/170 Test #7: FlowPolicyCore.EqualBalanced_SingleDemand_FlowCount3_SaturatesBothPaths ........... Passed 0.07 sec - 92/170 Test #119: MaxFlow.NodeMask_BlocksFlowThroughNode ............................................ Passed 0.07 sec - Start 143: KShortestPaths.OutOfOrderNodePredDAGSemantics - Start 134: MaxFlow.CompletionPhase_RespectsNodeMask - 93/170 Test #143: KShortestPaths.OutOfOrderNodePredDAGSemantics ..................................... Passed 0.06 sec - Start 43: ShortestPaths.PredDAGIntegrity - 94/170 Test #65: FlowState.ResetRestoresCapacity ................................................... Passed 0.06 sec - 95/170 Test #135: KShortestPaths.FindsKPaths ........................................................ Passed 0.06 sec - 96/170 Test #134: MaxFlow.CompletionPhase_RespectsNodeMask .......................................... Passed 0.06 sec - Start 33: StrictMultiDiGraph.SelfLoopAllowed - Start 62: FlowState.ApplyDeltasAdditive - Start 32: StrictMultiDiGraph.NegativeCostThrows - 97/170 Test #43: ShortestPaths.PredDAGIntegrity .................................................... Passed 0.07 sec - 98/170 Test #62: FlowState.ApplyDeltasAdditive ..................................................... Passed 0.07 sec - Start 19: StrictMultiDiGraph.SingleEdge - Start 144: KShortestPaths.LargerOutOfOrderTopology - 99/170 Test #33: StrictMultiDiGraph.SelfLoopAllowed ................................................ Passed 0.07 sec -100/170 Test #32: StrictMultiDiGraph.NegativeCostThrows ............................................. Passed 0.07 sec - Start 97: MaxFlow.SinglePath_ShortestPathEquivalence - Start 114: MaxFlow.PlacementModes_EqualCapacity_IdenticalResult -101/170 Test #19: StrictMultiDiGraph.SingleEdge ..................................................... Passed 0.06 sec - Start 170: MaskingTests.AlgorithmsAPIMaxFlowWithMask -102/170 Test #144: KShortestPaths.LargerOutOfOrderTopology ........................................... Passed 0.06 sec -103/170 Test #97: MaxFlow.SinglePath_ShortestPathEquivalence ........................................ Passed 0.06 sec -104/170 Test #114: MaxFlow.PlacementModes_EqualCapacity_IdenticalResult .............................. Passed 0.06 sec - Start 4: FlowPolicyCore.Proportional_SingleDemand_MaxFlowCount1_UsesSinglePath - Start 131: MaxFlow.Sensitivity_PartialSaturation - Start 61: FlowState.ZeroCapacityHandling -105/170 Test #170: MaskingTests.AlgorithmsAPIMaxFlowWithMask ......................................... Passed 0.07 sec -106/170 Test #131: MaxFlow.Sensitivity_PartialSaturation ............................................. Passed 0.07 sec - Start 159: MaskingTests.ResidualAndNodeMaskCombined - Start 109: MaxFlow.ZeroCapacityPath_CorrectFiltering -107/170 Test #4: FlowPolicyCore.Proportional_SingleDemand_MaxFlowCount1_UsesSinglePath ............. Passed 0.07 sec -108/170 Test #61: FlowState.ZeroCapacityHandling .................................................... Passed 0.07 sec - Start 21: StrictMultiDiGraph.EdgeSortingByCost - Start 20: StrictMultiDiGraph.ParallelEdges -109/170 Test #109: MaxFlow.ZeroCapacityPath_CorrectFiltering ......................................... Passed 0.06 sec - Start 115: MaxFlow.FlowConservation_IntermediateNodes -110/170 Test #159: MaskingTests.ResidualAndNodeMaskCombined .......................................... Passed 0.07 sec -111/170 Test #21: StrictMultiDiGraph.EdgeSortingByCost .............................................. Passed 0.07 sec -112/170 Test #20: StrictMultiDiGraph.ParallelEdges .................................................. Passed 0.07 sec - Start 8: FlowPolicyCore.DiminishingReturnsCutoff - Start 147: MaskingTests.MaskedSourceWithDestination - Start 45: ShortestPaths.PreferHigherResidualTieBreak -113/170 Test #115: MaxFlow.FlowConservation_IntermediateNodes ........................................ Passed 0.07 sec -114/170 Test #147: MaskingTests.MaskedSourceWithDestination .......................................... Passed 0.06 sec -115/170 Test #45: ShortestPaths.PreferHigherResidualTieBreak ........................................ Passed 0.06 sec - Start 160: MaskingTests.KSPWithNodeMask - Start 74: FlowState.EqualBalanced_ZeroCapacityOnShortestPath_ReturnsZero - Start 42: ShortestPaths.EarlyExitOptimization -116/170 Test #8: FlowPolicyCore.DiminishingReturnsCutoff ........................................... Passed 0.07 sec - Start 126: MaxFlow.Triangle_Topology_Combine_Mode -117/170 Test #42: ShortestPaths.EarlyExitOptimization ............................................... Passed 0.06 sec - Start 84: FlowGraph.PlacementCreatesEntry -118/170 Test #160: MaskingTests.KSPWithNodeMask ...................................................... Passed 0.07 sec -119/170 Test #74: FlowState.EqualBalanced_ZeroCapacityOnShortestPath_ReturnsZero .................... Passed 0.07 sec -120/170 Test #126: MaxFlow.Triangle_Topology_Combine_Mode ............................................ Passed 0.06 sec - Start 146: MaskingTests.MaskedSourceReturnsEmptyDAG - Start 88: FlowGraph.GetFlowPathForLinearFlow - Start 72: FlowState.EqualBalanced_MinFlowGating_DoesNotPruneValidParallelEdges -121/170 Test #84: FlowGraph.PlacementCreatesEntry ................................................... Passed 0.07 sec - Start 67: FlowState.InvalidResidualInitThrows -122/170 Test #146: MaskingTests.MaskedSourceReturnsEmptyDAG .......................................... Passed 0.07 sec -123/170 Test #88: FlowGraph.GetFlowPathForLinearFlow ................................................ Passed 0.07 sec -124/170 Test #72: FlowState.EqualBalanced_MinFlowGating_DoesNotPruneValidParallelEdges .............. Passed 0.07 sec - Start 6: FlowPolicyCore.EqualBalanced_SingleDemand_FlowCount2_BalancedDistribution - Start 66: FlowState.CustomInitialResidual - Start 17: StrictMultiDiGraph.EmptyGraph -125/170 Test #66: FlowState.CustomInitialResidual ................................................... Passed 0.07 sec - Start 1: GraphSmoke.ConstructAndRunSPF -126/170 Test #67: FlowState.InvalidResidualInitThrows ............................................... Passed 0.07 sec -127/170 Test #6: FlowPolicyCore.EqualBalanced_SingleDemand_FlowCount2_BalancedDistribution ......... Passed 0.07 sec -128/170 Test #17: StrictMultiDiGraph.EmptyGraph ..................................................... Passed 0.07 sec - Start 150: MaskingTests.OutOfRangeSourceInComputeMinCut - Start 83: FlowGraph.EmptyLedgerInitially - Start 70: FlowState.EqualBalancedReconvergentDAGPlacesAll -129/170 Test #1: GraphSmoke.ConstructAndRunSPF ..................................................... Passed 0.07 sec - Start 107: MaxFlow.AsymmetricCapacity_1to100_EqualBalanced -130/170 Test #150: MaskingTests.OutOfRangeSourceInComputeMinCut ...................................... Passed 0.07 sec -131/170 Test #83: FlowGraph.EmptyLedgerInitially .................................................... Passed 0.07 sec -132/170 Test #70: FlowState.EqualBalancedReconvergentDAGPlacesAll ................................... Passed 0.07 sec - Start 24: StrictMultiDiGraph.CSRReverseAdjacency - Start 34: StrictMultiDiGraph.NegativeNodeIdThrows - Start 162: MaskingTests.MaxFlowWithNodeMask -133/170 Test #34: StrictMultiDiGraph.NegativeNodeIdThrows ........................................... Passed 0.07 sec - Start 87: FlowGraph.GetFlowEdgesReturnsDeltas -134/170 Test #107: MaxFlow.AsymmetricCapacity_1to100_EqualBalanced ................................... Passed 0.07 sec -135/170 Test #24: StrictMultiDiGraph.CSRReverseAdjacency ............................................ Passed 0.07 sec -136/170 Test #162: MaskingTests.MaxFlowWithNodeMask .................................................. Passed 0.07 sec - Start 127: MaxFlow.SimpleParallelPaths_Topology - Start 166: MaskingTests.EmptyEdgeMaskAllowsAllEdges - Start 108: MaxFlow.EqualBalanced_NodeMask_ReducesECMPWidth -137/170 Test #127: MaxFlow.SimpleParallelPaths_Topology .............................................. Passed 0.07 sec - Start 59: FlowState.ProportionalDistribution -138/170 Test #87: FlowGraph.GetFlowEdgesReturnsDeltas ............................................... Passed 0.07 sec -139/170 Test #166: MaskingTests.EmptyEdgeMaskAllowsAllEdges .......................................... Passed 0.07 sec -140/170 Test #108: MaxFlow.EqualBalanced_NodeMask_ReducesECMPWidth ................................... Passed 0.07 sec - Start 155: MaskingTests.MultipleEdgesMasked - Start 140: KShortestPaths.PathsSortedByCost - Start 50: ShortestPaths.ZeroCostEdges_PredDAGIsAcyclic -141/170 Test #59: FlowState.ProportionalDistribution ................................................ Passed 0.07 sec - Start 36: ShortestPaths.SingleSourceAllNodes -142/170 Test #155: MaskingTests.MultipleEdgesMasked .................................................. Passed 0.07 sec -143/170 Test #140: KShortestPaths.PathsSortedByCost .................................................. Passed 0.07 sec -144/170 Test #50: ShortestPaths.ZeroCostEdges_PredDAGIsAcyclic ...................................... Passed 0.07 sec - Start 105: MaxFlow.AsymmetricCapacity_1to100_Proportional - Start 30: StrictMultiDiGraph.OutOfRangeNodeThrows - Start 9: FlowPolicyCore.EqualBalanced_ShortestPath_ECMP3_SaturatesAllEqualCostPaths -145/170 Test #36: ShortestPaths.SingleSourceAllNodes ................................................ Passed 0.07 sec - Start 103: MaxFlow.ECMP_FourPaths_ClosFabric_Simulation -146/170 Test #105: MaxFlow.AsymmetricCapacity_1to100_Proportional .................................... Passed 0.07 sec -147/170 Test #30: StrictMultiDiGraph.OutOfRangeNodeThrows ........................................... Passed 0.07 sec -148/170 Test #9: FlowPolicyCore.EqualBalanced_ShortestPath_ECMP3_SaturatesAllEqualCostPaths ........ Passed 0.07 sec - Start 31: StrictMultiDiGraph.NegativeCapacityThrows - Start 137: KShortestPaths.NodeMaskBlocksPaths - Start 130: MaxFlow.Sensitivity_TwoParallelPaths -149/170 Test #103: MaxFlow.ECMP_FourPaths_ClosFabric_Simulation ...................................... Passed 0.07 sec -150/170 Test #31: StrictMultiDiGraph.NegativeCapacityThrows ......................................... Passed 0.07 sec -151/170 Test #137: KShortestPaths.NodeMaskBlocksPaths ................................................ Passed 0.07 sec - Start 38: ShortestPaths.MultipleEqualCostPaths - Start 41: ShortestPaths.EdgeMaskFiltering - Start 73: FlowState.EqualBalanced_DownstreamSplitEqualization -152/170 Test #130: MaxFlow.Sensitivity_TwoParallelPaths .............................................. Passed 0.07 sec - Start 10: FlowPolicyCore.EqualBalanced_ShortestPath_DownstreamSplit_BalancesBottleneck -153/170 Test #10: FlowPolicyCore.EqualBalanced_ShortestPath_DownstreamSplit_BalancesBottleneck ...... Passed 0.07 sec - Start 123: MaxFlow.SharedBottleneck_MultiplePathsMerge -154/170 Test #38: ShortestPaths.MultipleEqualCostPaths .............................................. Passed 0.07 sec -155/170 Test #41: ShortestPaths.EdgeMaskFiltering ................................................... Passed 0.07 sec -156/170 Test #73: FlowState.EqualBalanced_DownstreamSplitEqualization ............................... Passed 0.07 sec - Start 57: FlowState.InitialResidualEqualsCapacity - Start 40: ShortestPaths.NodeMaskIsolation - Start 71: FlowState.EqualBalanced_ECMP3_FirstHopEqualization -157/170 Test #123: MaxFlow.SharedBottleneck_MultiplePathsMerge ....................................... Passed 0.07 sec -158/170 Test #57: FlowState.InitialResidualEqualsCapacity ........................................... Passed 0.07 sec - Start 28: StrictMultiDiGraph.MismatchedArrayLengthsThrow - Start 158: MaskingTests.MaskWithResidualCapacity -159/170 Test #40: ShortestPaths.NodeMaskIsolation ................................................... Passed 0.07 sec -160/170 Test #71: FlowState.EqualBalanced_ECMP3_FirstHopEqualization ................................ Passed 0.07 sec - Start 148: MaskingTests.MaskedSourceInMaxFlow - Start 58: FlowState.PlacementReducesResidual -161/170 Test #158: MaskingTests.MaskWithResidualCapacity ............................................. Passed 0.07 sec - Start 113: MaxFlow.ThreeCostTiers_ShortestPath_LowestTierOnly -162/170 Test #28: StrictMultiDiGraph.MismatchedArrayLengthsThrow .................................... Passed 0.07 sec -163/170 Test #148: MaskingTests.MaskedSourceInMaxFlow ................................................ Passed 0.07 sec -164/170 Test #58: FlowState.PlacementReducesResidual ................................................ Passed 0.07 sec - Start 152: MaskingTests.MaskedIntermediateNode - Start 157: MaskingTests.NodeMaskOverridesEdgeMask - Start 112: MaxFlow.EqualCost_ShortestVsFull_Equivalent -165/170 Test #113: MaxFlow.ThreeCostTiers_ShortestPath_LowestTierOnly ................................ Passed 0.07 sec - Start 12: FlowPolicyStatic.PerFlowBundleBinding -166/170 Test #152: MaskingTests.MaskedIntermediateNode ............................................... Passed 0.07 sec -167/170 Test #157: MaskingTests.NodeMaskOverridesEdgeMask ............................................ Passed 0.07 sec -168/170 Test #112: MaxFlow.EqualCost_ShortestVsFull_Equivalent ....................................... Passed 0.07 sec - Start 5: FlowPolicyCore.Proportional_SingleDemand_PartialPlacement_InsufficientCapacity -169/170 Test #12: FlowPolicyStatic.PerFlowBundleBinding ............................................. Passed 0.07 sec -170/170 Test #5: FlowPolicyCore.Proportional_SingleDemand_PartialPlacement_InsufficientCapacity .... Passed 0.06 sec - -100% tests passed out of 170 - -Total Test time (real) = 2.80 sec diff --git a/dev/research/metal_pathfinding/optimization/results/screen-known-limitations.txt b/dev/research/metal_pathfinding/optimization/results/screen-known-limitations.txt deleted file mode 100644 index 87ae6b9..0000000 --- a/dev/research/metal_pathfinding/optimization/results/screen-known-limitations.txt +++ /dev/null @@ -1,6 +0,0 @@ -Exploratory screen only, not the final timing matrix. -The conversion loop invoked the Objective-C .contents accessor once per distance, -inflating host copy/conversion time on large batches. Corrected before final A/B/A. -GPU DAG thread mapping also initially used query-fast threads for query-major data. -All correctness checks passed; these were performance defects, not wrong distances. -Source hashes are in screen-source-sha256.txt. Final hashes are in aba/environment.txt. diff --git a/dev/research/metal_pathfinding/optimization/results/screen-source-sha256.txt b/dev/research/metal_pathfinding/optimization/results/screen-source-sha256.txt deleted file mode 100644 index a3f0393..0000000 --- a/dev/research/metal_pathfinding/optimization/results/screen-source-sha256.txt +++ /dev/null @@ -1,2 +0,0 @@ -0dad0787fdcf08c58ed135e27290a8012865aa8b6a369cc679e8bca622f62b78 dev/research/metal_pathfinding/optimization/experiment.mm -2cdeaf23d1f11dfd07c7092824d7e991ecd70c0c597e6e40ab84c663907a3e17 dev/research/metal_pathfinding/optimization/kernels.metal diff --git a/dev/research/metal_pathfinding/optimization/results/screen-stderr.txt b/dev/research/metal_pathfinding/optimization/results/screen-stderr.txt deleted file mode 100644 index b3f2aa5..0000000 --- a/dev/research/metal_pathfinding/optimization/results/screen-stderr.txt +++ /dev/null @@ -1 +0,0 @@ -device=Apple M4 Max setup_ms=26.8109 execution_width=32 diff --git a/dev/research/metal_pathfinding/optimization/results/screen.csv b/dev/research/metal_pathfinding/optimization/results/screen.csv deleted file mode 100644 index 6e7c168..0000000 --- a/dev/research/metal_pathfinding/optimization/results/screen.csv +++ /dev/null @@ -1,253 +0,0 @@ -case,n,e,queries,method,wall_ms,distance_ms,gpu_ms,edge_visits,rounds,waits,fallback64,upload_ms,samples,correct,wall_samples_ms -random,1024,8192,1,old_pull_serial,0.762542,0.722583,0.437500,131072,16,2,0,0.153791,2,pass,0.762542;0.745541 -random,1024,8192,1,old_group_serial,0.964084,0.894000,0.680958,106496,13,1,0,0.153791,2,pass,0.964084;0.849083 -random,1024,8192,1,old_pull_parallel_dag,0.657209,0.643500,0.419875,131072,16,2,0,0.153791,2,pass,0.657209;0.650417 -random,1024,8192,1,old_group_parallel_dag,0.939833,0.895459,0.681833,106496,13,1,0,0.153791,2,pass,0.908916;0.939833 -random,1024,8192,1,pull64_barrier,0.674375,0.661834,0.397458,131072,16,2,0,0.153791,2,pass,0.674375;0.648416 -random,1024,8192,1,pull64_interleaved,0.853959,0.841292,0.252500,131072,16,2,0,0.153791,2,pass,0.853959;0.363292 -random,1024,8192,1,pull32_interleaved,0.315500,0.302917,0.075167,131072,16,2,0,0.153791,2,pass,0.309917;0.315500 -random,1024,8192,1,pull32_gpu_dag,0.881333,0.556833,0.271792,131072,16,4,0,0.153791,2,pass,0.881333;0.724833 -random,1024,8192,1,frontier32_vertex,0.494250,0.481458,0.180125,21088,16,2,0,0.153791,2,pass,0.473500;0.494250 -random,1024,8192,1,frontier32_simd,0.547583,0.534834,0.114833,20192,16,2,0,0.153791,2,pass,0.547583;0.423667 -random,1024,8192,1,frontier32_gpu_dag,0.746000,0.396458,0.128042,20520,16,4,0,0.153791,2,pass,0.746000;0.704541 -random,1024,8192,1,bucket32_d4,0.875292,0.862667,0.336125,8232,32,4,0,0.153791,2,pass,0.875292;0.871333 -random,1024,8192,1,bucket32_d16,0.671459,0.648500,0.262375,9336,24,3,0,0.153791,2,pass,0.647792;0.671459 -random,1024,8192,1,bucket32_d64,0.512667,0.499750,0.194875,19232,16,2,0,0.153791,2,pass,0.512667;0.452000 -random,1024,8192,64,old_pull_serial,3.818625,1.461417,0.483667,12582912,24,3,0,0.240041,2,pass,3.185541;3.818625 -random,1024,8192,64,old_group_serial,3.211083,0.894833,0.200375,7217152,17,1,0,0.240041,2,pass,3.211083;2.918583 -random,1024,8192,64,old_pull_parallel_dag,3.350541,3.060875,2.247542,12582912,24,3,0,0.240041,2,pass,2.083833;3.350541 -random,1024,8192,64,old_group_parallel_dag,1.480583,1.169125,0.894125,7217152,17,1,0,0.240041,2,pass,1.480583;1.419917 -random,1024,8192,64,pull64_barrier,1.122625,0.860000,0.311584,12582912,24,3,0,0.240041,2,pass,1.011750;1.122625 -random,1024,8192,64,pull64_interleaved,6.522000,6.270875,0.893750,12582912,24,3,0,0.240041,2,pass,5.917709;6.522000 -random,1024,8192,64,pull32_interleaved,6.568875,6.294000,1.247000,12582912,24,3,0,0.240041,2,pass,6.010583;6.568875 -random,1024,8192,64,pull32_gpu_dag,6.263042,5.390250,0.853792,12582912,24,5,0,0.240041,2,pass,6.197125;6.263042 -random,1024,8192,64,frontier32_vertex,6.342208,6.096333,1.145750,1294872,24,3,0,0.240041,2,pass,6.061666;6.342208 -random,1024,8192,64,frontier32_simd,7.192625,6.939583,2.005833,1209280,24,3,0,0.240041,2,pass,6.974292;7.192625 -random,1024,8192,64,frontier32_gpu_dag,5.802583,5.041083,0.489583,1206928,16,4,0,0.240041,2,pass,5.443083;5.802583 -random,1024,8192,64,bucket32_d4,9.311792,9.060875,3.431875,528520,56,7,0,0.240041,2,pass,9.311792;7.144291 -random,1024,8192,64,bucket32_d16,6.371083,6.101125,0.695750,601784,32,4,0,0.240041,2,pass,6.371083;5.691750 -random,1024,8192,64,bucket32_d64,7.686834,7.451417,2.572083,1155632,24,3,0,0.240041,2,pass,7.686834;6.262291 -clos,200,20000,64,old_pull_serial,5.877250,1.938875,1.613708,10240000,8,1,0,0.352709,2,pass,5.877250;5.434792 -clos,200,20000,64,old_group_serial,4.889250,0.948583,0.307792,3840000,3,1,0,0.352709,2,pass,4.889250;4.813292 -clos,200,20000,64,old_pull_parallel_dag,2.647292,2.119125,1.659625,10240000,8,1,0,0.352709,2,pass,2.086042;2.647292 -clos,200,20000,64,old_group_parallel_dag,1.495584,0.891459,0.309875,3840000,3,1,0,0.352709,2,pass,1.448458;1.495584 -clos,200,20000,64,pull64_barrier,2.218833,1.683417,1.023042,10240000,8,1,0,0.352709,2,pass,2.176959;2.218833 -clos,200,20000,64,pull64_interleaved,2.864708,2.299625,0.759375,10240000,8,1,0,0.352709,2,pass,2.610125;2.864708 -clos,200,20000,64,pull32_interleaved,2.704166,2.207834,0.698500,10240000,8,1,0,0.352709,2,pass,2.192083;2.704166 -clos,200,20000,64,pull32_gpu_dag,3.827584,2.580125,1.040375,10240000,8,3,0,0.352709,2,pass,3.230459;3.827584 -clos,200,20000,64,frontier32_vertex,2.962125,2.466500,0.986083,1280000,8,1,0,0.352709,2,pass,2.831042;2.962125 -clos,200,20000,64,frontier32_simd,2.346458,1.829250,0.359958,1280000,8,1,0,0.352709,2,pass,2.346458;2.066292 -clos,200,20000,64,frontier32_gpu_dag,4.250750,2.648000,0.788458,1280000,8,3,0,0.352709,2,pass,3.753292;4.250750 -clos,200,20000,64,bucket32_d4,3.090458,2.563208,0.507375,1280000,8,1,0,0.352709,2,pass,3.090458;2.377792 -clos,200,20000,64,bucket32_d16,2.999750,2.475542,1.133083,1280000,8,1,0,0.352709,2,pass,2.999750;2.523084 -clos,200,20000,64,bucket32_d64,2.528875,1.963250,0.468000,1280000,8,1,0,0.352709,2,pass,2.084417;2.528875 -grid,1024,3968,1,old_pull_serial,1.939625,1.920792,0.651750,253952,64,8,0,0.236834,2,pass,1.939625;1.786750 -grid,1024,3968,1,old_group_serial,1.449167,1.431625,1.011500,249984,63,1,0,0.236834,2,pass,1.449167;1.185000 -grid,1024,3968,1,old_pull_parallel_dag,1.785625,1.775542,0.651499,253952,64,8,0,0.236834,2,pass,1.785625;1.649542 -grid,1024,3968,1,old_group_parallel_dag,1.162416,1.153500,1.008625,249984,63,1,0,0.236834,2,pass,1.162416;1.150083 -grid,1024,3968,1,pull64_barrier,1.762958,1.753834,0.694125,253952,64,8,0,0.236834,2,pass,1.686750;1.762958 -grid,1024,3968,1,pull64_interleaved,2.131792,2.124834,1.110167,253952,64,8,0,0.236834,2,pass,1.793583;2.131792 -grid,1024,3968,1,pull32_interleaved,1.673334,1.664458,0.629750,253952,64,8,0,0.236834,2,pass,1.673334;1.599167 -grid,1024,3968,1,pull32_gpu_dag,2.191500,1.854833,0.896833,253952,64,10,0,0.236834,2,pass,2.000917;2.191500 -grid,1024,3968,1,frontier32_vertex,3.608792,3.595083,2.566375,3968,64,8,0,0.236834,2,pass,3.608792;2.936166 -grid,1024,3968,1,frontier32_simd,2.444500,2.435167,1.407542,3968,64,8,0,0.236834,2,pass,2.444500;2.438000 -grid,1024,3968,1,frontier32_gpu_dag,2.885083,2.530792,1.446375,3968,64,10,0,0.236834,2,pass,2.885083;2.840000 -grid,1024,3968,1,bucket32_d4,3.526792,3.517083,2.379750,3968,64,8,0,0.236834,2,pass,3.444875;3.526792 -grid,1024,3968,1,bucket32_d16,4.111792,4.100167,3.000833,3968,64,8,0,0.236834,2,pass,4.111792;3.712666 -grid,1024,3968,1,bucket32_d64,4.321125,4.313125,3.175875,3968,64,8,0,0.236834,2,pass,3.525208;4.321125 -hub,1024,3070,1,old_pull_serial,6.219708,6.202666,5.564083,98240,32,4,0,0.127834,2,pass,6.219708;6.202208 -hub,1024,3070,1,old_group_serial,4.915291,4.884334,4.720250,95170,31,1,0,0.127834,2,pass,4.855542;4.915291 -hub,1024,3070,1,old_pull_parallel_dag,6.068750,6.050375,5.496250,98240,32,4,0,0.127834,2,pass,6.068750;6.043792 -hub,1024,3070,1,old_group_parallel_dag,4.942709,4.928333,4.755875,95170,31,1,0,0.127834,2,pass,4.900708;4.942709 -hub,1024,3070,1,pull64_barrier,4.900083,4.888000,4.318500,98240,32,4,0,0.127834,2,pass,4.900083;4.899708 -hub,1024,3070,1,pull64_interleaved,5.090459,5.077667,4.310625,98240,32,4,0,0.127834,2,pass,5.090459;5.011958 -hub,1024,3070,1,pull32_interleaved,4.329166,4.318959,3.718042,98240,32,4,0,0.127834,2,pass,4.329166;4.298375 -hub,1024,3070,1,pull32_gpu_dag,5.058875,4.330667,4.105667,98240,32,6,0,0.127834,2,pass,5.006209;5.058875 -hub,1024,3070,1,frontier32_vertex,1.372833,1.364084,0.840958,3128,32,4,0,0.127834,2,pass,1.372833;1.322834 -hub,1024,3070,1,frontier32_simd,0.758292,0.751125,0.233125,3128,32,4,0,0.127834,2,pass,0.752542;0.758292 -hub,1024,3070,1,frontier32_gpu_dag,1.443542,0.736125,0.653958,3128,32,6,0,0.127834,2,pass,1.382958;1.443542 -hub,1024,3070,1,bucket32_d4,0.879333,0.871000,0.348375,3100,32,4,0,0.127834,2,pass,0.879333;0.859334 -hub,1024,3070,1,bucket32_d16,0.852333,0.844083,0.342417,3124,32,4,0,0.127834,2,pass,0.843708;0.852333 -hub,1024,3070,1,bucket32_d64,1.001750,0.993250,0.334375,3128,32,4,0,0.127834,2,pass,1.001750;0.857750 -random_masked_int64_reverse,1024,8192,8,old_pull_serial,0.521375,0.157541,0.032000,524288,8,1,0,0.210333,2,pass,0.521375;0.520625 -random_masked_int64_reverse,1024,8192,8,old_group_serial,0.538292,0.183375,0.053583,368640,8,1,0,0.210333,2,pass,0.538292;0.518041 -random_masked_int64_reverse,1024,8192,8,old_pull_parallel_dag,0.232041,0.168375,0.031917,524288,8,1,0,0.210333,2,pass,0.232041;0.227625 -random_masked_int64_reverse,1024,8192,8,old_group_parallel_dag,0.282750,0.205292,0.053625,368640,8,1,0,0.210333,2,pass,0.257500;0.282750 -random_masked_int64_reverse,1024,8192,8,pull64_barrier,0.223709,0.158792,0.028750,524288,8,1,0,0.210333,2,pass,0.223709;0.214000 -random_masked_int64_reverse,1024,8192,8,pull64_interleaved,0.810750,0.752583,0.028875,524288,8,1,0,0.210333,2,pass,0.569833;0.810750 -random_masked_int64_reverse,1024,8192,8,pull32_interleaved,0.775500,0.697875,0.028875,524288,8,1,1,0.210333,2,pass,0.721208;0.775500 -random_masked_int64_reverse,1024,8192,8,pull32_gpu_dag,1.021792,0.675417,0.051667,524288,8,3,1,0.210333,2,pass,0.982083;1.021792 -random_masked_int64_reverse,1024,8192,8,frontier32_vertex,0.277333,0.223500,0.029000,524288,8,1,1,0.210333,2,pass,0.241625;0.277333 -random_masked_int64_reverse,1024,8192,8,frontier32_simd,0.243875,0.179000,0.028583,524288,8,1,1,0.210333,2,pass,0.243875;0.237500 -random_masked_int64_reverse,1024,8192,8,frontier32_gpu_dag,0.500167,0.189583,0.047458,524288,8,3,1,0.210333,2,pass,0.500167;0.488708 -random_masked_int64_reverse,1024,8192,8,bucket32_d4,0.236375,0.177042,0.028750,524288,8,1,1,0.210333,2,pass,0.228500;0.236375 -random_masked_int64_reverse,1024,8192,8,bucket32_d16,0.249125,0.192084,0.028625,524288,8,1,1,0.210333,2,pass,0.218500;0.249125 -random_masked_int64_reverse,1024,8192,8,bucket32_d64,0.335542,0.296125,0.028625,524288,8,1,1,0.210333,2,pass,0.240375;0.335542 -random,4096,32768,256,old_pull_serial,49.337625,12.467292,11.699833,201326592,24,3,0,0.540875,2,pass,48.524667;49.337625 -random,4096,32768,256,old_group_serial,49.802834,11.785459,10.993500,136544256,20,1,0,0.540875,2,pass,47.385167;49.802834 -random,4096,32768,256,old_pull_parallel_dag,19.919000,16.053916,14.734958,201326592,24,3,0,0.540875,2,pass,19.919000;15.861667 -random,4096,32768,256,old_group_parallel_dag,11.645708,7.757000,6.930917,136544256,20,1,0,0.540875,2,pass,11.483584;11.645708 -random,4096,32768,256,pull64_barrier,13.484083,9.335333,8.520750,201326592,24,3,0,0.540875,2,pass,13.484083;12.949500 -random,4096,32768,256,pull64_interleaved,90.054167,86.195000,8.617750,201326592,24,3,0,0.540875,2,pass,90.054167;86.703666 -random,4096,32768,256,pull32_interleaved,79.266000,75.508625,6.636458,201326592,24,3,0,0.540875,2,pass,78.284917;79.266000 -random,4096,32768,256,pull32_gpu_dag,98.656083,96.740417,7.475250,201326592,24,5,0,0.540875,2,pass,80.137083;98.656083 -random,4096,32768,256,frontier32_vertex,79.679042,75.814167,9.683000,19773312,24,3,0,0.540875,2,pass,79.679042;79.543375 -random,4096,32768,256,frontier32_simd,85.882083,82.195666,16.025708,20638048,24,3,0,0.540875,2,pass,85.882083;85.238500 -random,4096,32768,256,frontier32_gpu_dag,83.435958,80.312834,15.618542,20760840,24,5,0,0.540875,2,pass,79.330083;83.435958 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-random,65536,524288,1,frontier32_simd,3.527958,2.002208,0.598125,1562256,24,3,0,7.477583,2,pass,3.527958;3.485750 -random,65536,524288,1,frontier32_gpu_dag,2.079917,1.688458,0.682125,1566928,24,5,0,7.477583,2,pass,2.079917;2.025916 -random,65536,524288,1,bucket32_d4,4.803667,3.281125,1.170083,528256,64,8,0,7.477583,2,pass,4.803667;4.388583 -random,65536,524288,1,bucket32_d16,3.979417,2.442791,0.794417,599384,40,5,0,7.477583,2,pass,3.611333;3.979417 -random,65536,524288,1,bucket32_d64,3.852667,2.205292,0.729333,1050680,24,3,0,7.477583,2,pass,3.614333;3.852667 -clos,800,320000,1,old_pull_serial,2.370625,1.339417,0.724000,2560000,8,1,0,3.496583,2,pass,2.324166;2.370625 -clos,800,320000,1,old_group_serial,2.508750,1.566834,0.924167,960000,3,1,0,3.496583,2,pass,2.038208;2.508750 -clos,800,320000,1,old_pull_parallel_dag,2.127417,1.358375,0.732417,2560000,8,1,0,3.496583,2,pass,2.127417;2.063958 -clos,800,320000,1,old_group_parallel_dag,2.450875,1.688250,1.007875,960000,3,1,0,3.496583,2,pass,2.450875;2.436166 -clos,800,320000,1,pull64_barrier,2.201333,1.408125,0.657125,2560000,8,1,0,3.496583,2,pass,2.201333;1.657750 -clos,800,320000,1,pull64_interleaved,2.063084,1.323375,0.640458,2560000,8,1,0,3.496583,2,pass,2.063084;2.047459 -clos,800,320000,1,pull32_interleaved,1.952042,1.171375,0.556000,2560000,8,1,0,3.496583,2,pass,1.952042;1.436667 -clos,800,320000,1,pull32_gpu_dag,2.170625,1.323375,1.010542,2560000,8,3,0,3.496583,2,pass,2.143209;2.170625 -clos,800,320000,1,frontier32_vertex,2.447125,1.644417,0.968083,320000,8,1,0,3.496583,2,pass,2.447125;2.101167 -clos,800,320000,1,frontier32_simd,1.531125,0.705500,0.095500,320000,8,1,0,3.496583,2,pass,1.531125;1.476083 -clos,800,320000,1,frontier32_gpu_dag,1.652708,0.837417,0.614917,320000,8,3,0,3.496583,2,pass,1.652708;1.008292 -clos,800,320000,1,bucket32_d4,1.741958,0.940916,0.191500,320000,8,1,0,3.496583,2,pass,1.622708;1.741958 -clos,800,320000,1,bucket32_d16,1.637250,0.860458,0.177750,320000,8,1,0,3.496583,2,pass,1.618125;1.637250 -clos,800,320000,1,bucket32_d64,1.648416,0.862959,0.200083,320000,8,1,0,3.496583,2,pass,1.648416;1.564459 -clos,800,320000,64,old_pull_serial,84.010917,20.151750,19.591375,163840000,8,1,0,3.460875,2,pass,79.696125;84.010917 -clos,800,320000,64,old_group_serial,70.853292,5.869375,5.387125,61440000,3,1,0,3.460875,2,pass,70.853292;69.814500 -clos,800,320000,64,old_pull_parallel_dag,25.874292,18.861542,18.216250,163840000,8,1,0,3.460875,2,pass,25.874292;23.185041 -clos,800,320000,64,old_group_parallel_dag,12.892292,5.977542,5.445750,61440000,3,1,0,3.460875,2,pass,12.794500;12.892292 -clos,800,320000,64,pull64_barrier,28.435834,21.288833,20.666500,163840000,8,1,0,3.460875,2,pass,23.741583;28.435834 -clos,800,320000,64,pull64_interleaved,17.237125,10.007500,6.063250,163840000,8,1,0,3.460875,2,pass,17.237125;17.069959 -clos,800,320000,64,pull32_interleaved,15.469333,8.212958,3.644584,163840000,8,1,0,3.460875,2,pass,14.657250;15.469333 -clos,800,320000,64,pull32_gpu_dag,12.177917,8.063667,6.185208,163840000,8,3,0,3.460875,2,pass,11.646000;12.177917 -clos,800,320000,64,frontier32_vertex,17.391792,10.431791,6.175083,20480000,8,1,0,3.460875,2,pass,17.200042;17.391792 -clos,800,320000,64,frontier32_simd,13.298500,6.201125,1.491583,20480000,8,1,0,3.460875,2,pass,11.929792;13.298500 -clos,800,320000,64,frontier32_gpu_dag,11.460292,5.960000,5.538625,20480000,8,3,0,3.460875,2,pass,10.272375;11.460292 -clos,800,320000,64,bucket32_d4,13.275834,6.647167,1.969875,20480000,8,1,0,3.460875,2,pass,13.145500;13.275834 -clos,800,320000,64,bucket32_d16,13.277042,5.984208,1.809625,20480000,8,1,0,3.460875,2,pass,13.277042;12.978417 -clos,800,320000,64,bucket32_d64,12.781000,5.587375,1.800917,20480000,8,1,0,3.460875,2,pass,12.781000;11.775459 -grid,10000,39600,1,old_pull_serial,6.308667,6.189375,2.474124,7920000,200,25,0,0.484791,2,pass,6.174667;6.308667 -grid,10000,39600,1,old_group_serial,7.964459,7.841209,7.579834,7880400,199,1,0,0.484791,2,pass,7.915500;7.964459 -grid,10000,39600,1,old_pull_parallel_dag,4.204917,4.140000,0.606917,7920000,200,25,0,0.484791,2,pass,4.204917;4.148666 -grid,10000,39600,1,old_group_parallel_dag,7.780208,7.685250,7.526250,7880400,199,1,0,0.484791,2,pass,7.773042;7.780208 -grid,10000,39600,1,pull64_barrier,3.893333,3.823000,0.630791,7920000,200,25,0,0.484791,2,pass,3.893333;3.591125 -grid,10000,39600,1,pull64_interleaved,4.129958,4.070667,0.852458,7920000,200,25,0,0.484791,2,pass,4.129958;4.114666 -grid,10000,39600,1,pull32_interleaved,4.162917,4.100792,0.642917,7920000,200,25,0,0.484791,2,pass,3.970334;4.162917 -grid,10000,39600,1,pull32_gpu_dag,4.198666,3.912834,0.646082,7920000,200,27,0,0.484791,2,pass,4.198666;3.817750 -grid,10000,39600,1,frontier32_vertex,5.159500,5.099500,1.914417,39600,200,25,0,0.484791,2,pass,5.159500;5.099333 -grid,10000,39600,1,frontier32_simd,4.911583,4.852292,1.346042,39600,200,25,0,0.484791,2,pass,4.688917;4.911583 -grid,10000,39600,1,frontier32_gpu_dag,5.137208,4.800875,1.375291,39600,200,27,0,0.484791,2,pass,5.102334;5.137208 -grid,10000,39600,1,bucket32_d4,6.035708,5.976458,2.449416,39600,200,25,0,0.484791,2,pass,6.035708;5.789417 -grid,10000,39600,1,bucket32_d16,5.723333,5.664083,2.392000,39600,200,25,0,0.484791,2,pass,5.497666;5.723333 -grid,10000,39600,1,bucket32_d64,6.215667,6.141917,2.437126,39600,200,25,0,0.484791,2,pass,5.774834;6.215667 -grid,10000,39600,8,old_pull_serial,6.342000,5.328667,1.417540,63360000,200,25,0,0.487626,2,pass,6.342000;6.058000 -grid,10000,39600,8,old_group_serial,9.010166,8.094333,7.525375,51480000,199,1,0,0.487626,2,pass,8.645000;9.010166 -grid,10000,39600,8,old_pull_parallel_dag,5.092541,4.901084,1.396958,63360000,200,25,0,0.487626,2,pass,5.022958;5.092541 -grid,10000,39600,8,old_group_parallel_dag,7.914250,7.706834,7.497542,51480000,199,1,0,0.487626,2,pass,7.893583;7.914250 -grid,10000,39600,8,pull64_barrier,5.068458,4.899667,1.411666,63360000,200,25,0,0.487626,2,pass,4.946417;5.068458 -grid,10000,39600,8,pull64_interleaved,10.357083,10.106334,1.521750,63360000,200,25,0,0.487626,2,pass,10.357083;10.304375 -grid,10000,39600,8,pull32_interleaved,11.089083,10.845167,1.357125,63360000,200,25,0,0.487626,2,pass,11.089083;10.573500 -grid,10000,39600,8,pull32_gpu_dag,10.887416,10.004708,1.333043,63360000,200,27,0,0.487626,2,pass,9.630375;10.887416 -grid,10000,39600,8,frontier32_vertex,10.730792,10.477209,1.984625,316800,200,25,0,0.487626,2,pass,10.730792;10.719541 -grid,10000,39600,8,frontier32_simd,10.836875,10.634917,1.851000,316800,200,25,0,0.487626,2,pass,10.836875;10.763708 -grid,10000,39600,8,frontier32_gpu_dag,10.641500,9.760208,1.575917,316800,200,27,0,0.487626,2,pass,10.641500;10.630333 -grid,10000,39600,8,bucket32_d4,13.203375,13.062583,3.960125,316800,200,25,0,0.487626,2,pass,13.203375;13.027500 -grid,10000,39600,8,bucket32_d16,12.623292,12.421500,3.885626,316800,200,25,0,0.487626,2,pass,12.198958;12.623292 -grid,10000,39600,8,bucket32_d64,13.461542,13.314167,3.911709,316800,200,25,0,0.487626,2,pass,13.461542;13.151334 -chain,2048,2047,1,old_pull_serial,31.251584,31.241000,4.493376,4192256,2048,256,0,0.124208,2,pass,29.572958;31.251584 -chain,2048,2047,1,old_group_serial,4.872125,4.846917,4.704000,4192256,2048,1,0,0.124208,2,pass,4.872125;4.816000 -chain,2048,2047,1,old_pull_parallel_dag,30.364166,30.357500,4.342086,4192256,2048,256,0,0.124208,2,pass,30.364166;29.797667 -chain,2048,2047,1,old_group_parallel_dag,4.862500,4.841709,4.696458,4192256,2048,1,0,0.124208,2,pass,4.821792;4.862500 -chain,2048,2047,1,pull64_barrier,31.394625,31.387958,5.149665,4192256,2048,256,0,0.124208,2,pass,31.394625;30.564667 -chain,2048,2047,1,pull64_interleaved,30.923291,30.917667,5.045705,4192256,2048,256,0,0.124208,2,pass,30.342292;30.923291 -chain,2048,2047,1,pull32_interleaved,30.950333,30.944750,5.049085,4192256,2048,256,0,0.124208,2,pass,30.950333;29.343292 -chain,2048,2047,1,pull32_gpu_dag,29.144625,28.787459,4.978918,4192256,2048,258,0,0.124208,2,pass,28.863709;29.144625 -chain,2048,2047,1,frontier32_vertex,54.826625,54.820042,27.490289,2047,2048,256,0,0.124208,2,pass,54.826625;43.290458 -chain,2048,2047,1,frontier32_simd,40.021500,40.015625,13.131166,2047,2048,256,0,0.124208,2,pass,40.021500;38.506333 -chain,2048,2047,1,frontier32_gpu_dag,39.300791,38.996459,12.897914,2047,2048,258,0,0.124208,2,pass,39.067750;39.300791 -chain,2048,2047,1,bucket32_d4,49.432875,49.426375,21.049543,2047,2056,257,0,0.124208,2,pass,47.271833;49.432875 -chain,2048,2047,1,bucket32_d16,109.948875,109.939375,79.102456,2047,2056,257,0,0.124208,2,pass,88.977000;109.948875 -chain,2048,2047,1,bucket32_d64,48.930458,48.922542,21.087253,2047,2056,257,0,0.124208,2,pass,48.352792;48.930458 -hub,4096,12286,64,old_pull_serial,35.106833,32.332625,30.932625,31452160,40,5,0,0.332584,2,pass,34.652083;35.106833 -hub,4096,12286,64,old_group_serial,28.499792,25.765708,25.115500,27176632,38,1,0,0.332584,2,pass,28.499792;28.071959 -hub,4096,12286,64,old_pull_parallel_dag,33.417042,32.452917,30.979041,31452160,40,5,0,0.332584,2,pass,33.417042;32.831750 -hub,4096,12286,64,old_group_parallel_dag,26.387625,26.007666,25.172542,27176632,38,1,0,0.332584,2,pass,26.018208;26.387625 -hub,4096,12286,64,pull64_barrier,25.788459,25.342083,23.820209,31452160,40,5,0,0.332584,2,pass,25.166291;25.788459 -hub,4096,12286,64,pull64_interleaved,49.636291,49.303542,31.618167,31452160,40,5,0,0.332584,2,pass,49.126041;49.636291 -hub,4096,12286,64,pull32_interleaved,45.148542,44.768041,27.223375,31452160,40,5,0,0.332584,2,pass,44.485166;45.148542 -hub,4096,12286,64,pull32_gpu_dag,47.747125,44.786709,29.190750,31452160,40,7,0,0.332584,2,pass,47.409125;47.747125 -hub,4096,12286,64,frontier32_vertex,36.510167,36.094917,18.531458,1872372,40,5,0,0.332584,2,pass,35.063875;36.510167 -hub,4096,12286,64,frontier32_simd,22.199209,21.820333,1.906625,1683322,40,5,0,0.332584,2,pass,22.199209;22.001000 -hub,4096,12286,64,frontier32_gpu_dag,25.051625,21.600917,4.480042,1683264,40,7,0,0.332584,2,pass,25.051625;24.298250 -hub,4096,12286,64,bucket32_d4,25.343542,24.950084,2.969750,788342,48,6,0,0.332584,2,pass,23.476292;25.343542 -hub,4096,12286,64,bucket32_d16,26.631250,26.198042,3.176833,1124810,48,6,0,0.332584,2,pass,26.631250;23.371583 -hub,4096,12286,64,bucket32_d64,25.833834,25.465917,5.076166,1913530,40,5,0,0.332584,2,pass,24.307000;25.833834 -random,4096,131072,1,old_pull_serial,1.648541,1.149500,0.571458,2097152,16,2,0,1.680791,2,pass,1.648541;1.249209 -random,4096,131072,1,old_group_serial,6.351458,5.917417,5.756042,1572864,12,1,0,1.680791,2,pass,6.351458;6.022333 -random,4096,131072,1,old_pull_parallel_dag,0.933000,0.714709,0.452875,2097152,16,2,0,1.680791,2,pass,0.933000;0.886000 -random,4096,131072,1,old_group_parallel_dag,4.209167,4.007625,3.836334,1572864,12,1,0,1.680791,2,pass,4.209167;3.968750 -random,4096,131072,1,pull64_barrier,0.788792,0.602917,0.327542,2097152,16,2,0,1.680791,2,pass,0.788792;0.780500 -random,4096,131072,1,pull64_interleaved,0.789375,0.596625,0.286000,2097152,16,2,0,1.680791,2,pass,0.789375;0.764042 -random,4096,131072,1,pull32_interleaved,0.754708,0.581125,0.278500,2097152,16,2,0,1.680791,2,pass,0.754708;0.704625 -random,4096,131072,1,pull32_gpu_dag,0.969125,0.573500,0.317292,2097152,16,4,0,1.680791,2,pass,0.969125;0.835333 -random,4096,131072,1,frontier32_vertex,0.959750,0.784708,0.448417,421824,16,2,0,1.680791,2,pass,0.959750;0.883166 -random,4096,131072,1,frontier32_simd,0.613042,0.433500,0.165208,388160,16,2,0,1.680791,2,pass,0.602375;0.613042 -random,4096,131072,1,frontier32_gpu_dag,0.792875,0.454500,0.215166,392576,16,4,0,1.680791,2,pass,0.792875;0.771708 -random,4096,131072,1,bucket32_d4,0.948833,0.779541,0.322375,138784,24,3,0,1.680791,2,pass,0.907583;0.948833 -random,4096,131072,1,bucket32_d16,0.668875,0.487292,0.205875,177152,16,2,0,1.680791,2,pass,0.668875;0.664958 -random,4096,131072,1,bucket32_d64,0.704125,0.522375,0.236958,387040,16,2,0,1.680791,2,pass,0.704125;0.692375 -random,4096,131072,64,old_pull_serial,39.707625,10.664917,9.875917,134217728,16,2,0,1.785041,2,pass,39.707625;38.615750 -random,4096,131072,64,old_group_serial,34.620125,5.432459,4.809875,105644032,15,1,0,1.785041,2,pass,33.889416;34.620125 -random,4096,131072,64,old_pull_parallel_dag,13.925708,11.805375,11.350958,134217728,16,2,0,1.785041,2,pass,13.718500;13.925708 -random,4096,131072,64,old_group_parallel_dag,6.589500,4.478333,3.871625,105644032,15,1,0,1.785041,2,pass,6.210000;6.589500 -random,4096,131072,64,pull64_barrier,11.746500,9.527458,8.613667,134217728,16,2,0,1.785041,2,pass,11.549875;11.746500 -random,4096,131072,64,pull64_interleaved,23.944917,21.617000,1.407083,134217728,16,2,0,1.785041,2,pass,23.944917;23.816000 -random,4096,131072,64,pull32_interleaved,24.723167,22.521417,2.845166,134217728,16,2,0,1.785041,2,pass,23.098042;24.723167 -random,4096,131072,64,pull32_gpu_dag,23.908541,22.219333,3.848333,134217728,16,4,0,1.785041,2,pass,23.908541;23.375417 -random,4096,131072,64,frontier32_vertex,27.957250,25.638000,4.482417,22831904,16,2,0,1.785041,2,pass,25.895125;27.957250 -random,4096,131072,64,frontier32_simd,30.802708,28.372875,8.748375,23054048,16,2,0,1.785041,2,pass,30.802708;30.681708 -random,4096,131072,64,frontier32_gpu_dag,30.596834,28.276833,5.482458,22947328,16,4,0,1.785041,2,pass,26.060875;30.596834 -random,4096,131072,64,bucket32_d4,28.980292,26.791458,7.614083,8805280,24,3,0,1.785041,2,pass,27.958958;28.980292 -random,4096,131072,64,bucket32_d16,25.097334,22.833958,2.722333,12090432,24,3,0,1.785041,2,pass,24.775834;25.097334 -random,4096,131072,64,bucket32_d64,29.428333,27.258291,7.370167,23020448,16,2,0,1.785041,2,pass,25.965250;29.428333 diff --git a/dev/research/metal_pathfinding/optimization/results/smoke-stderr.txt b/dev/research/metal_pathfinding/optimization/results/smoke-stderr.txt deleted file mode 100644 index 4b20dd4..0000000 --- a/dev/research/metal_pathfinding/optimization/results/smoke-stderr.txt +++ /dev/null @@ -1 +0,0 @@ -device=Apple M4 Max setup_ms=52.7973 execution_width=32 diff --git a/dev/research/metal_pathfinding/optimization/results/smoke.csv b/dev/research/metal_pathfinding/optimization/results/smoke.csv deleted file mode 100644 index b8c1539..0000000 --- a/dev/research/metal_pathfinding/optimization/results/smoke.csv +++ /dev/null @@ -1,85 +0,0 @@ -case,n,e,queries,method,wall_ms,distance_ms,gpu_ms,edge_visits,rounds,waits,fallback64,upload_ms,samples,correct,wall_samples_ms -random,1024,8192,1,old_pull_serial,0.690458,0.660208,0.399041,131072,16,2,0,0.232500,2,pass,0.690458;0.689292 -random,1024,8192,1,old_group_serial,0.918750,0.867792,0.684042,106496,13,1,0,0.232500,2,pass,0.918750;0.902958 -random,1024,8192,1,old_pull_parallel_dag,0.673667,0.658667,0.400125,131072,16,2,0,0.232500,2,pass,0.639000;0.673667 -random,1024,8192,1,old_group_parallel_dag,1.662917,1.644542,1.504458,106496,13,1,0,0.232500,2,pass,0.902583;1.662917 -random,1024,8192,1,pull64_barrier,0.635417,0.619083,0.358833,131072,16,2,0,0.232500,2,pass,0.635417;0.632209 -random,1024,8192,1,pull64_interleaved,0.691458,0.679500,0.358958,131072,16,2,0,0.232500,2,pass,0.662083;0.691458 -random,1024,8192,1,pull32_interleaved,1.027750,1.003250,0.736542,131072,16,2,0,0.232500,2,pass,1.027750;0.623042 -random,1024,8192,1,pull32_gpu_dag,0.965041,0.565708,0.383500,131072,16,4,0,0.232500,2,pass,0.965041;0.958458 -random,1024,8192,1,frontier32_vertex,1.215292,1.191917,0.921042,21088,16,2,0,0.232500,2,pass,1.215292;0.914417 -random,1024,8192,1,frontier32_simd,0.681375,0.663166,0.368917,20584,16,2,0,0.232500,2,pass,0.664417;0.681375 -random,1024,8192,1,frontier32_gpu_dag,1.127209,0.667792,0.435167,20512,16,4,0,0.232500,2,pass,1.127209;1.085459 -random,1024,8192,1,bucket32_d4,1.810625,1.790333,1.195875,8232,32,4,0,0.232500,2,pass,1.810625;1.789042 -random,1024,8192,1,bucket32_d16,1.298167,1.276541,0.864125,9344,24,3,0,0.232500,2,pass,1.281583;1.298167 -random,1024,8192,1,bucket32_d64,1.120875,1.108042,0.831375,19360,16,2,0,0.232500,2,pass,0.931625;1.120875 -random,1024,8192,64,old_pull_serial,4.363541,2.058709,1.582042,12582912,24,3,0,0.201166,2,pass,4.193209;4.363541 -random,1024,8192,64,old_group_serial,3.589666,1.344042,0.896042,7217152,17,1,0,0.201166,2,pass,3.573459;3.589666 -random,1024,8192,64,old_pull_parallel_dag,2.498625,2.249166,1.710833,12582912,24,3,0,0.201166,2,pass,2.332167;2.498625 -random,1024,8192,64,old_group_parallel_dag,1.373667,1.088042,0.889625,7217152,17,1,0,0.201166,2,pass,1.303750;1.373667 -random,1024,8192,64,pull64_barrier,2.200500,1.807125,1.382208,12582912,24,3,0,0.201166,2,pass,2.078292;2.200500 -random,1024,8192,64,pull64_interleaved,7.077875,6.808541,0.838292,12582912,24,3,0,0.201166,2,pass,7.077875;6.882042 -random,1024,8192,64,pull32_interleaved,6.222875,5.941417,0.684333,12582912,24,3,0,0.201166,2,pass,6.222875;6.170417 -random,1024,8192,64,pull32_gpu_dag,6.617083,5.848167,0.776542,12582912,24,5,0,0.201166,2,pass,6.617083;6.270000 -random,1024,8192,64,frontier32_vertex,6.192417,5.928291,0.991125,1294232,16,2,0,0.201166,2,pass,6.192417;5.873375 -random,1024,8192,64,frontier32_simd,7.073209,6.830167,1.888250,1209320,16,2,0,0.201166,2,pass,7.073209;6.179000 -random,1024,8192,64,frontier32_gpu_dag,7.573000,6.650750,2.009833,1200408,24,5,0,0.201166,2,pass,7.079666;7.573000 -random,1024,8192,64,bucket32_d4,7.151083,6.905833,1.128250,528520,56,7,0,0.201166,2,pass,7.096250;7.151083 -random,1024,8192,64,bucket32_d16,8.154791,7.893041,2.916583,601624,32,4,0,0.201166,2,pass,6.179417;8.154791 -random,1024,8192,64,bucket32_d64,8.615208,8.365000,3.017708,1152992,24,3,0,0.201166,2,pass,8.615208;7.997125 -clos,200,20000,64,old_pull_serial,5.706792,1.619292,1.043833,10240000,8,1,0,0.331916,2,pass,5.189416;5.706792 -clos,200,20000,64,old_group_serial,4.762833,0.842625,0.300750,3840000,3,1,0,0.331916,2,pass,4.762833;4.495333 -clos,200,20000,64,old_pull_parallel_dag,2.005375,1.468625,0.997625,10240000,8,1,0,0.331916,2,pass,2.005375;1.994625 -clos,200,20000,64,old_group_parallel_dag,1.347666,0.814917,0.300333,3840000,3,1,0,0.331916,2,pass,1.347666;1.050958 -clos,200,20000,64,pull64_barrier,2.337291,1.777542,1.019500,10240000,8,1,0,0.331916,2,pass,1.953625;2.337291 -clos,200,20000,64,pull64_interleaved,3.083042,2.474250,0.781917,10240000,8,1,0,0.331916,2,pass,3.083042;2.732916 -clos,200,20000,64,pull32_interleaved,3.211083,2.578416,0.691917,10240000,8,1,0,0.331916,2,pass,3.045292;3.211083 -clos,200,20000,64,pull32_gpu_dag,3.605125,2.331708,1.013250,10240000,8,3,0,0.331916,2,pass,3.605125;3.307625 -clos,200,20000,64,frontier32_vertex,3.004000,2.469083,0.974750,1280000,8,1,0,0.331916,2,pass,3.001875;3.004000 -clos,200,20000,64,frontier32_simd,2.437875,1.916541,0.362875,1280000,8,1,0,0.331916,2,pass,2.306875;2.437875 -clos,200,20000,64,frontier32_gpu_dag,2.945625,1.741792,0.670125,1280000,8,3,0,0.331916,2,pass,2.945625;2.463542 -clos,200,20000,64,bucket32_d4,2.549875,1.939375,0.487125,1280000,8,1,0,0.331916,2,pass,2.549875;2.447583 -clos,200,20000,64,bucket32_d16,2.159458,1.592041,0.524500,1280000,8,1,0,0.331916,2,pass,2.159458;2.139791 -clos,200,20000,64,bucket32_d64,3.199500,2.611750,0.527125,1280000,8,1,0,0.331916,2,pass,3.199500;2.366292 -grid,1024,3968,1,old_pull_serial,2.712167,2.696750,0.686625,253952,64,8,0,0.145582,2,pass,1.828792;2.712167 -grid,1024,3968,1,old_group_serial,1.282709,1.231000,1.012083,249984,63,1,0,0.145582,2,pass,1.229667;1.282709 -grid,1024,3968,1,old_pull_parallel_dag,1.768000,1.760166,0.187833,253952,64,8,0,0.145582,2,pass,1.345583;1.768000 -grid,1024,3968,1,old_group_parallel_dag,0.379875,0.371959,0.246208,249984,63,1,0,0.145582,2,pass,0.375625;0.379875 -grid,1024,3968,1,pull64_barrier,1.375250,1.367250,0.203750,253952,64,8,0,0.145582,2,pass,1.375250;1.315375 -grid,1024,3968,1,pull64_interleaved,1.326333,1.318167,0.201750,253952,64,8,0,0.145582,2,pass,1.326333;1.325542 -grid,1024,3968,1,pull32_interleaved,1.246292,1.237417,0.182542,253952,64,8,0,0.145582,2,pass,1.236292;1.246292 -grid,1024,3968,1,pull32_gpu_dag,1.628458,1.292333,0.202959,253952,64,10,0,0.145582,2,pass,1.628458;1.429875 -grid,1024,3968,1,frontier32_vertex,1.779750,1.772042,0.598750,3968,64,8,0,0.145582,2,pass,1.779750;1.696375 -grid,1024,3968,1,frontier32_simd,1.476417,1.468625,0.426625,3968,64,8,0,0.145582,2,pass,1.450834;1.476417 -grid,1024,3968,1,frontier32_gpu_dag,1.915375,1.583917,0.483375,3968,64,10,0,0.145582,2,pass,1.723792;1.915375 -grid,1024,3968,1,bucket32_d4,1.720042,1.711833,0.662750,3968,64,8,0,0.145582,2,pass,1.720042;1.676791 -grid,1024,3968,1,bucket32_d16,1.843500,1.835583,0.718250,3968,64,8,0,0.145582,2,pass,1.821583;1.843500 -grid,1024,3968,1,bucket32_d64,1.747583,1.739750,0.714041,3968,64,8,0,0.145582,2,pass,1.747583;1.700250 -hub,1024,3070,1,old_pull_serial,6.406708,6.369959,5.576208,98240,32,4,0,0.121500,2,pass,6.406708;6.319083 -hub,1024,3070,1,old_group_serial,5.014500,4.975250,4.745417,95170,31,1,0,0.121500,2,pass,5.014500;4.864000 -hub,1024,3070,1,old_pull_parallel_dag,6.516958,6.485750,5.764334,98240,32,4,0,0.121500,2,pass,6.261500;6.516958 -hub,1024,3070,1,old_group_parallel_dag,4.937042,4.912500,4.720833,95170,31,1,0,0.121500,2,pass,4.937042;4.885708 -hub,1024,3070,1,pull64_barrier,5.041500,5.016791,4.333042,98240,32,4,0,0.121500,2,pass,5.041500;5.025125 -hub,1024,3070,1,pull64_interleaved,5.097541,5.075000,4.344125,98240,32,4,0,0.121500,2,pass,5.097541;5.007375 -hub,1024,3070,1,pull32_interleaved,4.423209,4.413792,3.648959,98240,32,4,0,0.121500,2,pass,4.343750;4.423209 -hub,1024,3070,1,pull32_gpu_dag,5.119000,4.303000,4.076750,98240,32,6,0,0.121500,2,pass,4.981959;5.119000 -hub,1024,3070,1,frontier32_vertex,1.454292,1.445750,0.863709,3128,32,4,0,0.121500,2,pass,1.454292;1.402708 -hub,1024,3070,1,frontier32_simd,0.815875,0.807209,0.231791,3128,32,4,0,0.121500,2,pass,0.704792;0.815875 -hub,1024,3070,1,frontier32_gpu_dag,1.425708,0.726500,0.648833,3128,32,6,0,0.121500,2,pass,1.425708;1.421167 -hub,1024,3070,1,bucket32_d4,0.915708,0.906917,0.349667,3100,32,4,0,0.121500,2,pass,0.915708;0.836708 -hub,1024,3070,1,bucket32_d16,0.854042,0.845583,0.341000,3124,32,4,0,0.121500,2,pass,0.854042;0.837125 -hub,1024,3070,1,bucket32_d64,0.919958,0.911708,0.330000,3128,32,4,0,0.121500,2,pass,0.833583;0.919958 -random_masked_int64_reverse,1024,8192,8,old_pull_serial,0.575416,0.149542,0.031709,524288,8,1,0,0.203249,2,pass,0.575416;0.490708 -random_masked_int64_reverse,1024,8192,8,old_group_serial,0.507083,0.169958,0.053625,368640,8,1,0,0.203249,2,pass,0.507083;0.506209 -random_masked_int64_reverse,1024,8192,8,old_pull_parallel_dag,0.247417,0.183833,0.031917,524288,8,1,0,0.203249,2,pass,0.218750;0.247417 -random_masked_int64_reverse,1024,8192,8,old_group_parallel_dag,0.238708,0.178333,0.053625,368640,8,1,0,0.203249,2,pass,0.238708;0.229958 -random_masked_int64_reverse,1024,8192,8,pull64_barrier,0.242750,0.191708,0.028667,524288,8,1,0,0.203249,2,pass,0.242750;0.241417 -random_masked_int64_reverse,1024,8192,8,pull64_interleaved,0.806791,0.743125,0.028792,524288,8,1,0,0.203249,2,pass,0.614583;0.806791 -random_masked_int64_reverse,1024,8192,8,pull32_interleaved,0.789459,0.709250,0.028875,524288,8,1,1,0.203249,2,pass,0.789459;0.766166 -random_masked_int64_reverse,1024,8192,8,pull32_gpu_dag,0.975416,0.636041,0.051958,524288,8,3,1,0.203249,2,pass,0.955750;0.975416 -random_masked_int64_reverse,1024,8192,8,frontier32_vertex,0.243542,0.194917,0.029083,524288,8,1,1,0.203249,2,pass,0.240709;0.243542 -random_masked_int64_reverse,1024,8192,8,frontier32_simd,0.286791,0.227750,0.028625,524288,8,1,1,0.203249,2,pass,0.286791;0.234208 -random_masked_int64_reverse,1024,8192,8,frontier32_gpu_dag,0.494750,0.178541,0.046917,524288,8,3,1,0.203249,2,pass,0.468250;0.494750 -random_masked_int64_reverse,1024,8192,8,bucket32_d4,0.255792,0.205375,0.028875,524288,8,1,1,0.203249,2,pass,0.232625;0.255792 -random_masked_int64_reverse,1024,8192,8,bucket32_d16,0.242333,0.199541,0.028667,524288,8,1,1,0.203249,2,pass,0.242333;0.225833 -random_masked_int64_reverse,1024,8192,8,bucket32_d64,0.244958,0.195000,0.028875,524288,8,1,1,0.203249,2,pass,0.231417;0.244958 diff --git a/dev/research/metal_pathfinding/optimization/results/stress-sanitized-stderr.txt b/dev/research/metal_pathfinding/optimization/results/stress-sanitized-stderr.txt deleted file mode 100644 index ecd2dc4..0000000 --- a/dev/research/metal_pathfinding/optimization/results/stress-sanitized-stderr.txt +++ /dev/null @@ -1,3 +0,0 @@ -2026-09-27 00:31:10.901 optimized-sanitize[19987:38715567] Metal API Validation Enabled -2026-09-27 00:31:10.902 optimized-sanitize[19987:38715567] Metal GPU Validation Enabled -device=Apple M4 Max setup_ms=33.4889 execution_width=32 diff --git a/dev/research/metal_pathfinding/optimization/results/stress-sanitized.csv b/dev/research/metal_pathfinding/optimization/results/stress-sanitized.csv deleted file mode 100644 index 868411d..0000000 --- a/dev/research/metal_pathfinding/optimization/results/stress-sanitized.csv +++ /dev/null @@ -1,29 +0,0 @@ -case,n,e,queries,method,wall_ms,distance_ms,gpu_ms,edge_visits,rounds,waits,fallback64,upload_ms,samples,correct,wall_samples_ms -grid,1024,3968,64,old_pull_serial,15.422459,8.780792,4.421000,16252928,64,8,0,0.355707,3,pass,15.767625;12.079667;15.422459 -grid,1024,3968,64,old_group_serial,11.820416,4.917041,3.918292,12066688,63,1,0,0.355707,3,pass,11.266000;11.991708;11.820416 -grid,1024,3968,64,old_pull_parallel_dag,9.401541,8.708916,4.336000,16252928,64,8,0,0.355707,3,pass,5.894791;10.034959;9.401541 -grid,1024,3968,64,old_group_parallel_dag,3.223291,2.277167,1.718958,12066688,63,1,0,0.355707,3,pass,3.223291;6.094583;2.753959 -grid,1024,3968,64,pull64_barrier,9.744500,8.889250,4.838625,16252928,64,8,0,0.355707,3,pass,5.471708;9.744500;9.802958 -grid,1024,3968,64,pull64_interleaved,8.179959,7.435500,3.227125,16252928,64,8,0,0.355707,3,pass,8.179959;9.998542;5.224125 -grid,1024,3968,64,pull32_interleaved,6.581875,4.865416,1.325542,16252928,64,8,0,0.355707,3,pass,5.519000;9.256834;6.581875 -grid,1024,3968,64,pull32_gpu_dag,9.064958,7.880250,4.344791,16252928,64,10,0,0.355707,3,pass,9.542542;5.143375;9.064958 -grid,1024,3968,64,frontier32_vertex,6.553083,5.827417,1.606209,253952,64,8,0,0.355707,3,pass,6.535333;10.212125;6.553083 -grid,1024,3968,64,frontier32_simd,6.107459,5.438333,1.547667,253952,64,8,0,0.355707,3,pass,6.107459;10.554250;5.719167 -grid,1024,3968,64,frontier32_gpu_dag,9.948333,8.881708,4.683959,253952,64,10,0,0.355707,3,pass,5.949833;9.948333;10.264292 -grid,1024,3968,64,bucket32_d4,8.262958,7.353792,2.220125,253952,64,8,0,0.355707,3,pass,11.154000;7.720708;8.262958 -grid,1024,3968,64,bucket32_d16,7.660833,6.970500,2.238875,253952,64,8,0,0.355707,3,pass,8.266375;7.639000;7.660833 -grid,1024,3968,64,bucket32_d64,8.043542,7.205500,2.246292,253952,64,8,0,0.355707,3,pass,8.043542;8.121875;7.920583 -random_masked_reverse,1024,8192,64,old_pull_serial,16.570084,4.646042,2.783208,12582912,24,3,0,0.572584,3,pass,15.608625;16.570084;17.459917 -random_masked_reverse,1024,8192,64,old_group_serial,14.205167,3.149333,2.211167,7053312,19,1,0,0.572584,3,pass,14.687458;14.092833;14.205167 -random_masked_reverse,1024,8192,64,old_pull_parallel_dag,5.958625,5.081458,2.891292,12582912,24,3,0,0.572584,3,pass,5.958625;6.342875;5.587250 -random_masked_reverse,1024,8192,64,old_group_parallel_dag,4.081958,3.046750,2.223625,7053312,19,1,0,0.572584,3,pass,4.123334;4.081958;2.387042 -random_masked_reverse,1024,8192,64,pull64_barrier,3.941667,2.651792,0.613292,12582912,24,3,0,0.572584,3,pass,6.387167;3.941667;3.833542 -random_masked_reverse,1024,8192,64,pull64_interleaved,5.110292,4.362833,2.690750,12582912,24,3,0,0.572584,3,pass,5.082667;5.948709;5.110292 -random_masked_reverse,1024,8192,64,pull32_interleaved,5.086125,4.363625,2.562375,12582912,24,3,0,0.572584,3,pass,5.091459;5.086125;4.956417 -random_masked_reverse,1024,8192,64,pull32_gpu_dag,5.437875,4.244875,3.199833,12582912,24,5,0,0.572584,3,pass,5.315333;5.962417;5.437875 -random_masked_reverse,1024,8192,64,frontier32_vertex,6.363458,5.504500,3.278917,1097250,24,3,0,0.572584,3,pass,6.792125;6.197834;6.363458 -random_masked_reverse,1024,8192,64,frontier32_simd,6.249791,5.481917,3.753459,1014107,24,3,0,0.572584,3,pass,6.805167;6.204208;6.249791 -random_masked_reverse,1024,8192,64,frontier32_gpu_dag,7.568583,5.928750,4.430708,1014586,24,5,0,0.572584,3,pass,6.909084;8.284792;7.568583 -random_masked_reverse,1024,8192,64,bucket32_d4,15.467792,14.422750,8.644958,454224,64,8,0,0.572584,3,pass,15.524417;14.906917;15.467792 -random_masked_reverse,1024,8192,64,bucket32_d16,10.664084,9.545125,5.615625,510827,40,5,0,0.572584,3,pass,10.664084;11.253959;10.204459 -random_masked_reverse,1024,8192,64,bucket32_d64,8.033667,6.966500,4.823583,910477,24,3,0,0.572584,3,pass,8.232083;8.024584;8.033667 diff --git a/dev/research/metal_pathfinding/optimization/results/stress-stderr.txt b/dev/research/metal_pathfinding/optimization/results/stress-stderr.txt deleted file mode 100644 index 3cd5381..0000000 --- a/dev/research/metal_pathfinding/optimization/results/stress-stderr.txt +++ /dev/null @@ -1 +0,0 @@ -device=Apple M4 Max setup_ms=25.9229 execution_width=32 diff --git a/dev/research/metal_pathfinding/optimization/results/stress.csv b/dev/research/metal_pathfinding/optimization/results/stress.csv deleted file mode 100644 index 8354fce..0000000 --- a/dev/research/metal_pathfinding/optimization/results/stress.csv +++ /dev/null @@ -1,29 +0,0 @@ -case,n,e,queries,method,wall_ms,distance_ms,gpu_ms,edge_visits,rounds,waits,fallback64,upload_ms,samples,correct,wall_samples_ms -grid,1024,3968,64,old_pull_serial,4.089792,3.178458,1.539083,16252928,64,8,0,0.147000,20,pass,4.953459;4.561792;4.111417;3.969375;3.928708;4.098333;3.655541;4.089792;3.828166;4.460042;3.954084;3.793875;4.304750;4.094625;3.848875;3.618375;3.582916;4.091500;4.011042;4.603625 -grid,1024,3968,64,old_group_serial,2.049708,1.149625,0.723458,12066688,63,1,0,0.147000,20,pass,2.268917;2.055167;2.052042;2.374875;2.049708;2.363917;2.175417;2.370125;2.364458;2.134958;1.624000;2.040166;1.945542;1.940709;2.009708;1.442833;1.836541;1.865625;1.853000;1.448875 -grid,1024,3968,64,old_pull_parallel_dag,1.712792,1.547584,0.446167,16252928,64,8,0,0.147000,20,pass,1.840084;1.978375;1.690125;1.772375;1.885000;1.737750;1.577500;2.035459;1.716708;1.632125;1.987708;1.609333;1.494292;1.832333;1.700750;1.517792;1.659833;1.712792;1.610166;1.562125 -grid,1024,3968,64,old_group_parallel_dag,0.526708,0.374084,0.203625,12066688,63,1,0,0.147000,20,pass,0.530583;0.471917;0.559791;0.511625;0.482458;0.492542;0.479416;0.467708;0.482292;0.557958;0.506666;0.526708;0.461833;0.473834;0.789708;1.320042;1.248125;1.289875;1.233875;1.272292 -grid,1024,3968,64,pull64_barrier,1.628084,1.488833,0.407416,16252928,64,8,0,0.147000,20,pass,1.657917;1.549500;1.818042;1.596500;1.505667;1.643792;1.528208;1.576709;1.769042;1.764167;1.589500;1.591333;1.725667;1.624042;1.659500;1.628084;1.735958;1.571042;1.521709;1.657583 -grid,1024,3968,64,pull64_interleaved,1.632666,1.483417,0.382416,16252928,64,8,0,0.147000,20,pass,1.652083;1.606208;1.749042;1.648709;1.524667;1.578875;1.636000;1.632666;1.559583;1.668208;1.614084;1.573125;1.602250;1.683750;1.587083;1.657916;1.560500;1.488709;1.707916;1.844125 -grid,1024,3968,64,pull32_interleaved,1.582875,1.441625,0.362167,16252928,64,8,0,0.147000,20,pass,1.574292;1.582875;1.557667;1.794667;1.637125;1.539209;1.800500;1.498875;1.544625;1.634334;1.693666;1.379208;1.534833;1.592500;1.561708;1.472208;1.619458;1.573417;1.680500;1.666375 -grid,1024,3968,64,pull32_gpu_dag,1.834750,1.444292,0.387333,16252928,64,10,0,0.147000,20,pass,1.755042;1.845917;1.922625;1.923042;1.766792;1.818583;1.785292;1.853708;1.711834;2.019625;1.704416;1.824791;2.007458;1.839667;1.810709;1.881250;1.834750;1.772291;2.008792;1.815833 -grid,1024,3968,64,frontier32_vertex,1.841667,1.684000,0.571125,253952,64,8,0,0.147000,20,pass,1.899750;1.652584;1.945083;1.880250;1.692916;1.859542;1.871833;1.708083;1.917417;1.841667;1.914958;1.776750;1.699541;1.757333;1.975333;1.689292;1.753250;1.786292;1.894167;1.771041 -grid,1024,3968,64,frontier32_simd,1.809708,1.652416,0.558792,253952,64,8,0,0.147000,20,pass,1.804666;1.881291;1.820375;1.716083;2.049500;1.731542;1.742291;1.779792;1.809708;1.796458;1.887417;1.924208;1.640917;1.974542;1.877083;1.752584;1.892459;1.871708;1.649458;1.715084 -grid,1024,3968,64,frontier32_gpu_dag,1.883666,1.521208,0.550501,253952,64,10,0,0.147000,20,pass,1.853542;1.777416;1.955459;1.928625;1.870958;1.831166;1.801875;1.827708;1.883666;1.830833;1.827167;2.068084;1.886583;1.859041;1.891458;1.820416;1.944500;1.943500;1.907459;1.894792 -grid,1024,3968,64,bucket32_d4,2.419833,2.295292,1.195626,253952,64,8,0,0.147000,20,pass,2.394959;2.321208;2.272750;2.353125;2.377708;2.373667;2.402083;2.333958;2.419833;2.584083;2.565083;2.469291;2.569208;2.505083;2.290333;2.444084;2.406042;2.496458;2.426833;2.501042 -grid,1024,3968,64,bucket32_d16,2.418208,2.291250,1.193416,253952,64,8,0,0.147000,20,pass,2.527958;2.444500;2.298791;2.458541;2.418208;2.523250;2.407291;2.397042;2.581292;2.416000;2.600083;2.541709;2.422458;2.627208;2.386500;2.406708;2.318333;2.247709;2.413084;2.342416 -grid,1024,3968,64,bucket32_d64,6.132625,5.953208,4.671833,253952,64,8,0,0.147000,20,pass,2.698791;2.489500;2.409000;5.611875;6.176958;5.938083;6.222125;6.132625;6.057000;5.982167;6.731583;6.025333;5.934458;6.034459;6.339333;6.321000;7.091042;6.698084;7.285709;6.397250 -random_masked_reverse,1024,8192,64,old_pull_serial,5.141583,1.975875,1.167791,12582912,24,3,0,0.220624,20,pass,5.182417;4.845667;5.141583;5.061416;5.216667;5.116000;4.892583;5.019583;5.102292;5.079334;5.188291;5.694791;5.078084;5.269833;5.304208;4.971834;5.720209;5.066291;5.289042;5.186333 -random_masked_reverse,1024,8192,64,old_group_serial,4.292708,1.062416,0.590333,7053312,19,1,0,0.220624,20,pass,4.292708;3.832458;4.279750;4.245458;4.724750;5.119917;4.378208;4.438625;4.340041;4.412083;3.921083;4.287417;4.431000;4.262917;4.251250;4.246083;4.338083;3.993708;4.331333;4.264958 -random_masked_reverse,1024,8192,64,old_pull_parallel_dag,1.451333,1.212208,0.285250,12582912,24,3,0,0.220624,20,pass,1.908167;2.010541;2.503792;2.144875;1.389042;1.398459;1.607791;1.591958;1.266167;1.451333;1.415208;1.304375;1.118792;1.493541;0.874459;1.445292;1.447917;1.309208;1.493250;1.507125 -random_masked_reverse,1024,8192,64,old_group_parallel_dag,0.998083,0.775833,0.132333,7053312,19,1,0,0.220624,20,pass,0.979250;1.060583;0.551041;0.525416;0.971833;1.042917;0.529875;0.502917;0.998083;1.183958;0.959042;1.031166;1.199209;1.177500;0.983750;1.295125;1.232791;1.180709;0.984334;0.951708 -random_masked_reverse,1024,8192,64,pull64_barrier,1.291250,1.063333,0.206125,12582912,24,3,0,0.220624,20,pass,1.291250;1.395750;0.836208;1.290958;0.837125;1.189167;1.304625;1.352625;1.290166;1.416500;0.841333;0.867667;1.524709;1.542166;0.878209;0.886834;1.295416;0.852083;1.404292;1.415375 -random_masked_reverse,1024,8192,64,pull64_interleaved,1.374042,1.137334,0.190542,12582912,24,3,0,0.220624,20,pass,2.149167;1.813167;1.735083;1.695833;1.790167;1.884125;1.365292;1.297458;1.499500;1.288708;1.374042;0.861625;1.312417;0.889291;1.339084;1.458292;1.360417;1.260750;1.390708;0.919458 -random_masked_reverse,1024,8192,64,pull32_interleaved,1.282917,1.042333,0.159666,12582912,24,3,0,0.220624,20,pass,1.556209;1.153875;0.867083;1.373334;0.814375;1.282917;1.373042;1.280083;1.208750;1.409459;1.346167;1.277708;0.868333;1.497959;1.235084;1.431458;1.303000;0.885417;0.799916;1.435958 -random_masked_reverse,1024,8192,64,pull32_gpu_dag,1.035416,0.629125,0.190208,12582912,24,5,0,0.220624,20,pass,1.035416;1.046333;0.902708;0.911875;1.551500;1.599083;1.565958;1.568417;1.539000;1.734750;1.021750;0.998041;1.020667;0.967916;0.982083;0.976292;1.115375;0.888125;1.057042;0.971208 -random_masked_reverse,1024,8192,64,frontier32_vertex,1.570459,1.288500,0.412500,1072481,24,3,0,0.220624,20,pass,1.503792;1.633500;1.898250;1.644250;1.534917;1.365958;1.505667;1.105500;1.069958;1.658958;1.575375;1.457208;1.545750;1.205375;1.844875;1.639709;1.641959;1.533375;1.570459;1.642458 -random_masked_reverse,1024,8192,64,frontier32_simd,1.627334,1.355791,0.482417,997903,24,3,0,0.220624,20,pass,1.170250;1.702958;1.746458;1.552334;1.260917;1.627334;1.685833;1.570667;1.759292;1.580625;1.524500;1.693000;1.713500;1.553334;1.677291;1.241209;1.720833;1.476167;1.204750;1.671500 -random_masked_reverse,1024,8192,64,frontier32_gpu_dag,1.322917,0.915250,0.493250,999274,24,5,0,0.220624,20,pass,1.257667;1.398542;1.338167;1.158791;1.274125;1.322917;1.286250;1.569208;1.349292;1.142209;1.357542;1.414125;1.273791;1.240458;1.400250;1.258584;1.372958;1.232792;1.206208;1.336167 -random_masked_reverse,1024,8192,64,bucket32_d4,3.220708,2.936334,1.273167,454235,64,8,0,0.220624,20,pass,2.729834;3.051750;3.382959;3.244417;3.194125;3.178917;2.538958;3.416334;3.014291;3.245834;3.220708;3.263750;3.250875;3.423042;2.997125;3.231250;3.178459;2.711375;3.318209;3.145541 -random_masked_reverse,1024,8192,64,bucket32_d16,2.395875,2.110375,0.831208,509878,40,5,0,0.220624,20,pass,2.395875;2.372125;2.276792;2.404417;1.823500;2.501584;2.192125;2.579084;2.378500;2.543125;2.488792;2.434875;1.823542;2.254542;1.976667;2.757458;2.678667;2.147125;2.155334;2.437291 -random_masked_reverse,1024,8192,64,bucket32_d64,1.798709,1.538250,0.673417,904016,24,3,0,0.220624,20,pass,1.380583;1.801542;1.360542;1.311166;1.762375;1.827250;1.710291;2.149708;1.875625;1.807667;2.009209;1.820833;1.790875;1.500250;1.798709;1.776791;2.323041;1.768750;1.929041;1.412625 diff --git a/dev/research/metal_pathfinding/optimization/results/workspace-check-final.txt b/dev/research/metal_pathfinding/optimization/results/workspace-check-final.txt deleted file mode 100644 index 0e84856..0000000 --- a/dev/research/metal_pathfinding/optimization/results/workspace-check-final.txt +++ /dev/null @@ -1,391 +0,0 @@ -📦 Installing package (editable, default optimizations) -Obtaining file:///Users/networmix/ws/NetGraph-Core - Installing build dependencies: started - Installing build dependencies: finished with status 'done' - Checking if build backend supports build_editable: started - Checking if build backend supports build_editable: finished with status 'done' - Getting requirements to build editable: started - Getting requirements to build editable: finished with status 'done' - Installing backend dependencies: started - Installing backend dependencies: finished with status 'done' - Preparing editable metadata (pyproject.toml): started - Preparing editable metadata (pyproject.toml): finished with status 'done' -Requirement already satisfied: numpy>=1.23.2 in ./venv/lib/python3.14/site-packages (from netgraph-core==0.10.0) (2.5.2) -Building wheels for collected packages: netgraph-core - Building editable for netgraph-core (pyproject.toml): started - Building editable for netgraph-core (pyproject.toml): finished with status 'done' - Created wheel for netgraph-core: filename=netgraph_core-0.10.0-cp314-cp314-macosx_15_0_arm64.whl size=314893 sha256=d2510ae66a03f120aa34f71b3181e2c2bc61d37e63e6dee88b14292916e63b4e - Stored in directory: /private/var/folders/8q/438f_q5s0ys8nlnvjqkf953m0000gn/T/pip-ephem-wheel-cache-m73o7_bm/wheels/18/8c/1a/f701a43f4b69f7c794e11f1f5dd0c17e819d2c98bfd1285718 -Successfully built netgraph-core -Installing collected packages: netgraph-core - Attempting uninstall: netgraph-core - Found existing installation: netgraph-core 0.10.0 - Uninstalling netgraph-core-0.10.0: - Successfully uninstalled netgraph-core-0.10.0 -Successfully installed netgraph-core-0.10.0 -47 files already formatted -All checks passed! -0 errors, 0 warnings, 0 informations -WARNING: there is a new pyright version available (v1.1.401 -> v1.1.414). -Please install the new version or set PYRIGHT_PYTHON_FORCE_VERSION to `latest` - --- pybind11 not found via config; using FetchContent --- pybind11 v3.0.0 --- LTO not supported: CMake doesn't support IPO for current C compiler --- Configuring done (0.6s) --- Generating done (0.0s) --- Build files have been written to: /Users/networmix/ws/NetGraph-Core/build/cpp-tests -ninja: no work to do. -Test project /Users/networmix/ws/NetGraph-Core/build/cpp-tests - Start 141: KShortestPaths.DisconnectedReturnsEmpty - Start 132: MaxFlow.Sensitivity_ShortestPathVsMaxFlow - Start 34: StrictMultiDiGraph.NegativeNodeIdThrows - Start 11: FlowPolicyCore.EqualBalanced_ShortestPath_IgnoresHigherCostTier - 1/170 Test #141: KShortestPaths.DisconnectedReturnsEmpty ........................................... Passed 0.00 sec - Start 152: MaskingTests.MaskedIntermediateNode - 2/170 Test #132: MaxFlow.Sensitivity_ShortestPathVsMaxFlow ......................................... Passed 0.00 sec - 3/170 Test #34: StrictMultiDiGraph.NegativeNodeIdThrows ........................................... Passed 0.00 sec - 4/170 Test #11: FlowPolicyCore.EqualBalanced_ShortestPath_IgnoresHigherCostTier ................... Passed 0.00 sec - Start 9: FlowPolicyCore.EqualBalanced_ShortestPath_ECMP3_SaturatesAllEqualCostPaths - Start 10: FlowPolicyCore.EqualBalanced_ShortestPath_DownstreamSplit_BalancesBottleneck - Start 105: MaxFlow.AsymmetricCapacity_1to100_Proportional - 5/170 Test #152: MaskingTests.MaskedIntermediateNode ............................................... Passed 0.00 sec - Start 154: MaskingTests.MaskedEdgeSelectsAlternativePath - 6/170 Test #9: FlowPolicyCore.EqualBalanced_ShortestPath_ECMP3_SaturatesAllEqualCostPaths ........ Passed 0.00 sec - Start 156: MaskingTests.CombinedNodeAndEdgeMasks - 7/170 Test #10: FlowPolicyCore.EqualBalanced_ShortestPath_DownstreamSplit_BalancesBottleneck ...... Passed 0.00 sec - Start 144: KShortestPaths.LargerOutOfOrderTopology - 8/170 Test #105: MaxFlow.AsymmetricCapacity_1to100_Proportional .................................... Passed 0.00 sec - Start 43: ShortestPaths.PredDAGIntegrity - 9/170 Test #154: MaskingTests.MaskedEdgeSelectsAlternativePath ..................................... Passed 0.00 sec - Start 148: MaskingTests.MaskedSourceInMaxFlow - 10/170 Test #156: MaskingTests.CombinedNodeAndEdgeMasks ............................................. Passed 0.00 sec - Start 118: MaxFlow.OptionalOutputs_ResidualAndReachable - 11/170 Test #144: KShortestPaths.LargerOutOfOrderTopology ........................................... Passed 0.00 sec - Start 33: StrictMultiDiGraph.SelfLoopAllowed - 12/170 Test #43: ShortestPaths.PredDAGIntegrity .................................................... Passed 0.00 sec - Start 8: FlowPolicyCore.DiminishingReturnsCutoff - 13/170 Test #148: MaskingTests.MaskedSourceInMaxFlow ................................................ Passed 0.00 sec - Start 138: KShortestPaths.UniqueModeFiltering - 14/170 Test #118: MaxFlow.OptionalOutputs_ResidualAndReachable ...................................... Passed 0.00 sec - Start 92: FlowGraph.LedgerMicroFlows_RemovalRestoresResidual - 15/170 Test #33: StrictMultiDiGraph.SelfLoopAllowed ................................................ Passed 0.00 sec - Start 83: FlowGraph.EmptyLedgerInitially - 16/170 Test #8: FlowPolicyCore.DiminishingReturnsCutoff ........................................... Passed 0.00 sec - Start 47: ShortestPaths.ResolveToPathsWithMaxPathsLimit - 17/170 Test #138: KShortestPaths.UniqueModeFiltering ................................................ Passed 0.00 sec - Start 67: FlowState.InvalidResidualInitThrows - 18/170 Test #92: FlowGraph.LedgerMicroFlows_RemovalRestoresResidual ................................ Passed 0.00 sec - Start 106: MaxFlow.AsymmetricCapacity_1to1M_NumericalStability - 19/170 Test #83: FlowGraph.EmptyLedgerInitially .................................................... Passed 0.00 sec - Start 1: GraphSmoke.ConstructAndRunSPF - 20/170 Test #47: ShortestPaths.ResolveToPathsWithMaxPathsLimit ..................................... Passed 0.00 sec - Start 17: StrictMultiDiGraph.EmptyGraph - 21/170 Test #67: FlowState.InvalidResidualInitThrows ............................................... Passed 0.00 sec - Start 41: ShortestPaths.EdgeMaskFiltering - 22/170 Test #106: MaxFlow.AsymmetricCapacity_1to1M_NumericalStability ............................... Passed 0.00 sec - Start 89: FlowGraph.GetFlowPathForDAGReturnsEmpty - 23/170 Test #1: GraphSmoke.ConstructAndRunSPF ..................................................... Passed 0.00 sec - Start 104: MaxFlow.ECMP_TenPaths_ScalabilityValidation - 24/170 Test #17: StrictMultiDiGraph.EmptyGraph ..................................................... Passed 0.00 sec - Start 61: FlowState.ZeroCapacityHandling - 25/170 Test #41: ShortestPaths.EdgeMaskFiltering ................................................... Passed 0.00 sec - Start 22: StrictMultiDiGraph.ExternalEdgeIdsPreserved - 26/170 Test #89: FlowGraph.GetFlowPathForDAGReturnsEmpty ........................................... Passed 0.00 sec - Start 155: MaskingTests.MultipleEdgesMasked - 27/170 Test #104: MaxFlow.ECMP_TenPaths_ScalabilityValidation ....................................... Passed 0.00 sec - Start 149: MaskingTests.MaskedSourceInComputeMinCut - 28/170 Test #61: FlowState.ZeroCapacityHandling .................................................... Passed 0.00 sec - Start 109: MaxFlow.ZeroCapacityPath_CorrectFiltering - 29/170 Test #22: StrictMultiDiGraph.ExternalEdgeIdsPreserved ....................................... Passed 0.00 sec - Start 126: MaxFlow.Triangle_Topology_Combine_Mode - 30/170 Test #155: MaskingTests.MultipleEdgesMasked .................................................. Passed 0.00 sec - Start 122: MaxFlow.GridGraph_3x3_MultipleEqualCostPaths - 31/170 Test #149: MaskingTests.MaskedSourceInComputeMinCut .......................................... Passed 0.00 sec - Start 103: MaxFlow.ECMP_FourPaths_ClosFabric_Simulation - 32/170 Test #109: MaxFlow.ZeroCapacityPath_CorrectFiltering ......................................... Passed 0.00 sec - Start 107: MaxFlow.AsymmetricCapacity_1to100_EqualBalanced - 33/170 Test #126: MaxFlow.Triangle_Topology_Combine_Mode ............................................ Passed 0.00 sec - Start 42: ShortestPaths.EarlyExitOptimization - 34/170 Test #122: MaxFlow.GridGraph_3x3_MultipleEqualCostPaths ...................................... Passed 0.00 sec - Start 64: FlowState.MinCutComputation - 35/170 Test #103: MaxFlow.ECMP_FourPaths_ClosFabric_Simulation ...................................... Passed 0.00 sec - Start 75: FlowState.Proportional_ZeroCapacityOnShortestPath_ReturnsZero - 36/170 Test #107: MaxFlow.AsymmetricCapacity_1to100_EqualBalanced ................................... Passed 0.00 sec - Start 29: StrictMultiDiGraph.ExtEdgeIdsWrongLengthThrows - 37/170 Test #42: ShortestPaths.EarlyExitOptimization ............................................... Passed 0.00 sec - Start 135: KShortestPaths.FindsKPaths - 38/170 Test #64: FlowState.MinCutComputation ....................................................... Passed 0.00 sec - Start 32: StrictMultiDiGraph.NegativeCostThrows - 39/170 Test #75: FlowState.Proportional_ZeroCapacityOnShortestPath_ReturnsZero ..................... Passed 0.00 sec - Start 99: MaxFlow.ECMP_TwoPaths_Proportional_ShortestPath - 40/170 Test #29: StrictMultiDiGraph.ExtEdgeIdsWrongLengthThrows .................................... Passed 0.00 sec - Start 21: StrictMultiDiGraph.EdgeSortingByCost - 41/170 Test #135: KShortestPaths.FindsKPaths ........................................................ Passed 0.00 sec - Start 7: FlowPolicyCore.EqualBalanced_SingleDemand_FlowCount3_SaturatesBothPaths - 42/170 Test #32: StrictMultiDiGraph.NegativeCostThrows ............................................. Passed 0.00 sec - Start 37: ShortestPaths.DisconnectedComponents - 43/170 Test #99: MaxFlow.ECMP_TwoPaths_Proportional_ShortestPath ................................... Passed 0.00 sec - Start 69: FlowState.ApplyDeltasClampsWithinCapacityBounds - 44/170 Test #21: StrictMultiDiGraph.EdgeSortingByCost .............................................. Passed 0.00 sec - Start 143: KShortestPaths.OutOfOrderNodePredDAGSemantics - 45/170 Test #7: FlowPolicyCore.EqualBalanced_SingleDemand_FlowCount3_SaturatesBothPaths ........... Passed 0.00 sec - Start 134: MaxFlow.CompletionPhase_RespectsNodeMask - 46/170 Test #37: ShortestPaths.DisconnectedComponents .............................................. Passed 0.00 sec - Start 68: FlowState.ResetWithInvalidResidualThrows - 47/170 Test #69: FlowState.ApplyDeltasClampsWithinCapacityBounds ................................... Passed 0.00 sec - Start 46: ShortestPaths.ResolveToPathsSplittingParallelEdges - 48/170 Test #143: KShortestPaths.OutOfOrderNodePredDAGSemantics ..................................... Passed 0.00 sec - Start 112: MaxFlow.EqualCost_ShortestVsFull_Equivalent - 49/170 Test #134: MaxFlow.CompletionPhase_RespectsNodeMask .......................................... Passed 0.00 sec - Start 157: MaskingTests.NodeMaskOverridesEdgeMask - 50/170 Test #68: FlowState.ResetWithInvalidResidualThrows .......................................... Passed 0.00 sec - Start 133: MaxFlow.CompletionPhase_RecoversCancellation - 51/170 Test #46: ShortestPaths.ResolveToPathsSplittingParallelEdges ................................ Passed 0.00 sec - Start 35: StrictMultiDiGraph.MultipleCostTiers - 52/170 Test #112: MaxFlow.EqualCost_ShortestVsFull_Equivalent ....................................... Passed 0.00 sec - Start 153: MaskingTests.MaskedEdgeBlocksPath - 53/170 Test #157: MaskingTests.NodeMaskOverridesEdgeMask ............................................ Passed 0.00 sec - Start 27: StrictMultiDiGraph.InvalidNumNodesThrows - 54/170 Test #133: MaxFlow.CompletionPhase_RecoversCancellation ...................................... Passed 0.00 sec - Start 71: FlowState.EqualBalanced_ECMP3_FirstHopEqualization - 55/170 Test #35: StrictMultiDiGraph.MultipleCostTiers .............................................. Passed 0.00 sec - Start 114: MaxFlow.PlacementModes_EqualCapacity_IdenticalResult - 56/170 Test #153: MaskingTests.MaskedEdgeBlocksPath ................................................. Passed 0.00 sec - Start 91: FlowGraph.LedgerHistory_RemovalRestoresResidual - 57/170 Test #27: StrictMultiDiGraph.InvalidNumNodesThrows .......................................... Passed 0.00 sec - Start 20: StrictMultiDiGraph.ParallelEdges - 58/170 Test #71: FlowState.EqualBalanced_ECMP3_FirstHopEqualization ................................ Passed 0.00 sec - Start 63: FlowState.ApplyDeltasSubtractive - 59/170 Test #114: MaxFlow.PlacementModes_EqualCapacity_IdenticalResult .............................. Passed 0.00 sec - Start 31: StrictMultiDiGraph.NegativeCapacityThrows - 60/170 Test #91: FlowGraph.LedgerHistory_RemovalRestoresResidual ................................... Passed 0.00 sec - Start 5: FlowPolicyCore.Proportional_SingleDemand_PartialPlacement_InsufficientCapacity - 61/170 Test #20: StrictMultiDiGraph.ParallelEdges .................................................. Passed 0.00 sec - Start 2: FlowPolicyCore.Proportional_SingleDemand_UsesShortestPath - 62/170 Test #63: FlowState.ApplyDeltasSubtractive .................................................. Passed 0.00 sec - Start 121: MaxFlow.BatchMaxFlow_IndependentMaskApplication - 63/170 Test #31: StrictMultiDiGraph.NegativeCapacityThrows ......................................... Passed 0.00 sec - Start 150: MaskingTests.OutOfRangeSourceInComputeMinCut - 64/170 Test #5: FlowPolicyCore.Proportional_SingleDemand_PartialPlacement_InsufficientCapacity .... Passed 0.00 sec - Start 117: MaxFlow.CostDistribution_AccountsForAllFlow - 65/170 Test #2: FlowPolicyCore.Proportional_SingleDemand_UsesShortestPath ......................... Passed 0.00 sec - Start 100: MaxFlow.ECMP_TwoPaths_Proportional_FullMaxFlow - 66/170 Test #150: MaskingTests.OutOfRangeSourceInComputeMinCut ...................................... Passed 0.00 sec - Start 113: MaxFlow.ThreeCostTiers_ShortestPath_LowestTierOnly - 67/170 Test #121: MaxFlow.BatchMaxFlow_IndependentMaskApplication ................................... Passed 0.00 sec - Start 76: FlowState.RepeatedPlacementAfterResetAndIndependentInstancesStayStable - 68/170 Test #117: MaxFlow.CostDistribution_AccountsForAllFlow ....................................... Passed 0.00 sec - Start 23: StrictMultiDiGraph.CSROffsetsMonotonicity - 69/170 Test #100: MaxFlow.ECMP_TwoPaths_Proportional_FullMaxFlow .................................... Passed 0.00 sec - Start 4: FlowPolicyCore.Proportional_SingleDemand_MaxFlowCount1_UsesSinglePath - 70/170 Test #113: MaxFlow.ThreeCostTiers_ShortestPath_LowestTierOnly ................................ Passed 0.00 sec - Start 58: FlowState.PlacementReducesResidual - 71/170 Test #76: FlowState.RepeatedPlacementAfterResetAndIndependentInstancesStayStable ............ Passed 0.00 sec - Start 59: FlowState.ProportionalDistribution - 72/170 Test #23: StrictMultiDiGraph.CSROffsetsMonotonicity ......................................... Passed 0.00 sec - Start 48: ShortestPaths.LargeGraphStressTest - 73/170 Test #4: FlowPolicyCore.Proportional_SingleDemand_MaxFlowCount1_UsesSinglePath ............. Passed 0.00 sec - Start 130: MaxFlow.Sensitivity_TwoParallelPaths - 74/170 Test #58: FlowState.PlacementReducesResidual ................................................ Passed 0.00 sec - Start 6: FlowPolicyCore.EqualBalanced_SingleDemand_FlowCount2_BalancedDistribution - 75/170 Test #59: FlowState.ProportionalDistribution ................................................ Passed 0.00 sec - Start 44: ShortestPaths.TieBreakingDeterminism - 76/170 Test #48: ShortestPaths.LargeGraphStressTest ................................................ Passed 0.00 sec - Start 140: KShortestPaths.PathsSortedByCost - 77/170 Test #130: MaxFlow.Sensitivity_TwoParallelPaths .............................................. Passed 0.00 sec - Start 158: MaskingTests.MaskWithResidualCapacity - 78/170 Test #6: FlowPolicyCore.EqualBalanced_SingleDemand_FlowCount2_BalancedDistribution ......... Passed 0.00 sec - Start 39: ShortestPaths.ResidualAwareFiltering - 79/170 Test #44: ShortestPaths.TieBreakingDeterminism .............................................. Passed 0.00 sec - Start 161: MaskingTests.KSPWithEdgeMask - 80/170 Test #140: KShortestPaths.PathsSortedByCost .................................................. Passed 0.00 sec - Start 49: ShortestPaths.RejectsMaskLengthMismatch - 81/170 Test #158: MaskingTests.MaskWithResidualCapacity ............................................. Passed 0.00 sec - Start 127: MaxFlow.SimpleParallelPaths_Topology - 82/170 Test #39: ShortestPaths.ResidualAwareFiltering .............................................. Passed 0.00 sec - Start 162: MaskingTests.MaxFlowWithNodeMask - 83/170 Test #161: MaskingTests.KSPWithEdgeMask ...................................................... Passed 0.00 sec - Start 137: KShortestPaths.NodeMaskBlocksPaths - 84/170 Test #49: ShortestPaths.RejectsMaskLengthMismatch ........................................... Passed 0.00 sec - Start 18: StrictMultiDiGraph.SingleNode - 85/170 Test #127: MaxFlow.SimpleParallelPaths_Topology .............................................. Passed 0.00 sec - Start 108: MaxFlow.EqualBalanced_NodeMask_ReducesECMPWidth - 86/170 Test #162: MaskingTests.MaxFlowWithNodeMask .................................................. Passed 0.00 sec - Start 88: FlowGraph.GetFlowPathForLinearFlow - 87/170 Test #137: KShortestPaths.NodeMaskBlocksPaths ................................................ Passed 0.00 sec - Start 160: MaskingTests.KSPWithNodeMask - 88/170 Test #18: StrictMultiDiGraph.SingleNode ..................................................... Passed 0.00 sec - Start 50: ShortestPaths.ZeroCostEdges_PredDAGIsAcyclic - 89/170 Test #108: MaxFlow.EqualBalanced_NodeMask_ReducesECMPWidth ................................... Passed 0.00 sec - Start 3: FlowPolicyCore.Proportional_SingleDemand_SplitsAcrossTwoEqualCostPaths - 90/170 Test #88: FlowGraph.GetFlowPathForLinearFlow ................................................ Passed 0.00 sec - Start 142: KShortestPaths.LooplessPaths - 91/170 Test #160: MaskingTests.KSPWithNodeMask ...................................................... Passed 0.00 sec - Start 116: MaxFlow.MinCut_ValidEdgeIdentification - 92/170 Test #50: ShortestPaths.ZeroCostEdges_PredDAGIsAcyclic ...................................... Passed 0.00 sec - Start 36: ShortestPaths.SingleSourceAllNodes - 93/170 Test #3: FlowPolicyCore.Proportional_SingleDemand_SplitsAcrossTwoEqualCostPaths ............ Passed 0.00 sec - Start 38: ShortestPaths.MultipleEqualCostPaths - 94/170 Test #142: KShortestPaths.LooplessPaths ...................................................... Passed 0.00 sec - Start 111: MaxFlow.TwoCostTiers_FullMaxFlow_AllTiers - 95/170 Test #116: MaxFlow.MinCut_ValidEdgeIdentification ............................................ Passed 0.00 sec - Start 136: KShortestPaths.KEqualsZeroReturnsEmpty - 96/170 Test #36: ShortestPaths.SingleSourceAllNodes ................................................ Passed 0.00 sec - Start 24: StrictMultiDiGraph.CSRReverseAdjacency - 97/170 Test #38: ShortestPaths.MultipleEqualCostPaths .............................................. Passed 0.00 sec - Start 97: MaxFlow.SinglePath_ShortestPathEquivalence - 98/170 Test #111: MaxFlow.TwoCostTiers_FullMaxFlow_AllTiers ......................................... Passed 0.00 sec - Start 146: MaskingTests.MaskedSourceReturnsEmptyDAG - 99/170 Test #136: KShortestPaths.KEqualsZeroReturnsEmpty ............................................ Passed 0.00 sec - Start 90: FlowGraph.CoalescesDuplicateEdgeIds -100/170 Test #24: StrictMultiDiGraph.CSRReverseAdjacency ............................................ Passed 0.00 sec - Start 28: StrictMultiDiGraph.MismatchedArrayLengthsThrow -101/170 Test #97: MaxFlow.SinglePath_ShortestPathEquivalence ........................................ Passed 0.00 sec - Start 129: MaxFlow.Sensitivity_SinglePath -102/170 Test #146: MaskingTests.MaskedSourceReturnsEmptyDAG .......................................... Passed 0.00 sec - Start 131: MaxFlow.Sensitivity_PartialSaturation -103/170 Test #90: FlowGraph.CoalescesDuplicateEdgeIds ............................................... Passed 0.00 sec - Start 110: MaxFlow.TwoCostTiers_ShortestPath_SingleTierOnly -104/170 Test #28: StrictMultiDiGraph.MismatchedArrayLengthsThrow .................................... Passed 0.00 sec - Start 124: MaxFlow.Clos_3Tier_Topology_Proportional_Shortest -105/170 Test #129: MaxFlow.Sensitivity_SinglePath .................................................... Passed 0.00 sec - Start 120: MaxFlow.EdgeMask_SelectiveEdgeFiltering -106/170 Test #131: MaxFlow.Sensitivity_PartialSaturation ............................................. Passed 0.00 sec - Start 45: ShortestPaths.PreferHigherResidualTieBreak -107/170 Test #124: MaxFlow.Clos_3Tier_Topology_Proportional_Shortest ................................. Passed 0.00 sec - Start 123: MaxFlow.SharedBottleneck_MultiplePathsMerge -108/170 Test #110: MaxFlow.TwoCostTiers_ShortestPath_SingleTierOnly .................................. Passed 0.00 sec - Start 57: FlowState.InitialResidualEqualsCapacity -109/170 Test #120: MaxFlow.EdgeMask_SelectiveEdgeFiltering ........................................... Passed 0.00 sec - Start 25: StrictMultiDiGraph.MaxCapacityEdges -110/170 Test #45: ShortestPaths.PreferHigherResidualTieBreak ........................................ Passed 0.00 sec - Start 40: ShortestPaths.NodeMaskIsolation -111/170 Test #123: MaxFlow.SharedBottleneck_MultiplePathsMerge ....................................... Passed 0.00 sec - Start 125: MaxFlow.Clos_3Tier_Topology_EqualBalanced_Shortest -112/170 Test #57: FlowState.InitialResidualEqualsCapacity ........................................... Passed 0.00 sec - Start 128: MaxFlow.ShortestPath_MustSaturateAllEqualCostPaths -113/170 Test #25: StrictMultiDiGraph.MaxCapacityEdges ............................................... Passed 0.00 sec - Start 74: FlowState.EqualBalanced_ZeroCapacityOnShortestPath_ReturnsZero -114/170 Test #40: ShortestPaths.NodeMaskIsolation ................................................... Passed 0.00 sec - Start 159: MaskingTests.ResidualAndNodeMaskCombined -115/170 Test #125: MaxFlow.Clos_3Tier_Topology_EqualBalanced_Shortest ................................ Passed 0.00 sec - Start 147: MaskingTests.MaskedSourceWithDestination -116/170 Test #128: MaxFlow.ShortestPath_MustSaturateAllEqualCostPaths ................................ Passed 0.00 sec - Start 70: FlowState.EqualBalancedReconvergentDAGPlacesAll -117/170 Test #74: FlowState.EqualBalanced_ZeroCapacityOnShortestPath_ReturnsZero .................... Passed 0.00 sec - Start 84: FlowGraph.PlacementCreatesEntry -118/170 Test #159: MaskingTests.ResidualAndNodeMaskCombined .......................................... Passed 0.00 sec - Start 30: StrictMultiDiGraph.OutOfRangeNodeThrows -119/170 Test #147: MaskingTests.MaskedSourceWithDestination .......................................... Passed 0.00 sec - Start 62: FlowState.ApplyDeltasAdditive -120/170 Test #70: FlowState.EqualBalancedReconvergentDAGPlacesAll ................................... Passed 0.00 sec - Start 65: FlowState.ResetRestoresCapacity -121/170 Test #84: FlowGraph.PlacementCreatesEntry ................................................... Passed 0.00 sec - Start 151: MaskingTests.MaskedDestinationUnreachable -122/170 Test #30: StrictMultiDiGraph.OutOfRangeNodeThrows ........................................... Passed 0.00 sec - Start 60: FlowState.EqualBalancedDistribution -123/170 Test #62: FlowState.ApplyDeltasAdditive ..................................................... Passed 0.00 sec - Start 139: KShortestPaths.MaxCostFactorLimit -124/170 Test #65: FlowState.ResetRestoresCapacity ................................................... Passed 0.00 sec - Start 19: StrictMultiDiGraph.SingleEdge -125/170 Test #151: MaskingTests.MaskedDestinationUnreachable ......................................... Passed 0.00 sec - Start 96: MaxFlow.SinglePath_BottleneckConstraint -126/170 Test #60: FlowState.EqualBalancedDistribution ............................................... Passed 0.00 sec - Start 66: FlowState.CustomInitialResidual -127/170 Test #139: KShortestPaths.MaxCostFactorLimit ................................................. Passed 0.00 sec - Start 115: MaxFlow.FlowConservation_IntermediateNodes -128/170 Test #19: StrictMultiDiGraph.SingleEdge ..................................................... Passed 0.00 sec - Start 101: MaxFlow.ECMP_TwoPaths_EqualBalanced_ShortestPath -129/170 Test #96: MaxFlow.SinglePath_BottleneckConstraint ........................................... Passed 0.00 sec - Start 102: MaxFlow.ECMP_ThreePaths_Proportional_ShortestPath -130/170 Test #66: FlowState.CustomInitialResidual ................................................... Passed 0.00 sec - Start 26: StrictMultiDiGraph.ZeroCostEdges -131/170 Test #115: MaxFlow.FlowConservation_IntermediateNodes ........................................ Passed 0.00 sec - Start 72: FlowState.EqualBalanced_MinFlowGating_DoesNotPruneValidParallelEdges -132/170 Test #101: MaxFlow.ECMP_TwoPaths_EqualBalanced_ShortestPath .................................. Passed 0.00 sec - Start 95: MaxFlow.SinglePath_BasicLinear -133/170 Test #102: MaxFlow.ECMP_ThreePaths_Proportional_ShortestPath ................................. Passed 0.00 sec - Start 98: MaxFlow.DegenerateCase_SourceEqualsSink -134/170 Test #26: StrictMultiDiGraph.ZeroCostEdges .................................................. Passed 0.00 sec - Start 86: FlowGraph.RemoveByClassFiltersCorrectly -135/170 Test #72: FlowState.EqualBalanced_MinFlowGating_DoesNotPruneValidParallelEdges .............. Passed 0.00 sec - Start 73: FlowState.EqualBalanced_DownstreamSplitEqualization -136/170 Test #95: MaxFlow.SinglePath_BasicLinear .................................................... Passed 0.00 sec - Start 119: MaxFlow.NodeMask_BlocksFlowThroughNode -137/170 Test #98: MaxFlow.DegenerateCase_SourceEqualsSink ........................................... Passed 0.00 sec - Start 85: FlowGraph.RemovalDeletesEntry -138/170 Test #86: FlowGraph.RemoveByClassFiltersCorrectly ........................................... Passed 0.00 sec - Start 87: FlowGraph.GetFlowEdgesReturnsDeltas -139/170 Test #73: FlowState.EqualBalanced_DownstreamSplitEqualization ............................... Passed 0.00 sec - Start 163: MaskingTests.MaxFlowWithEdgeMask -140/170 Test #119: MaxFlow.NodeMask_BlocksFlowThroughNode ............................................ Passed 0.00 sec - Start 164: MaskingTests.MaxFlowAllPathsMasked -141/170 Test #85: FlowGraph.RemovalDeletesEntry ..................................................... Passed 0.00 sec - Start 165: MaskingTests.EmptyNodeMaskAllowsAllNodes -142/170 Test #87: FlowGraph.GetFlowEdgesReturnsDeltas ............................................... Passed 0.00 sec - Start 12: FlowPolicyStatic.PerFlowBundleBinding -143/170 Test #163: MaskingTests.MaxFlowWithEdgeMask .................................................. Passed 0.00 sec - Start 169: MaskingTests.AlgorithmsAPIMaskedSource -144/170 Test #164: MaskingTests.MaxFlowAllPathsMasked ................................................ Passed 0.00 sec - Start 13: FlowPolicyStatic.MaskedBundleIsDown -145/170 Test #165: MaskingTests.EmptyNodeMaskAllowsAllNodes .......................................... Passed 0.00 sec - Start 15: FlowPolicyCostBounds.MaxPathCostFactor_UnreachableDst_KeepsSentinelOutOfTheCast -146/170 Test #12: FlowPolicyStatic.PerFlowBundleBinding ............................................. Passed 0.00 sec - Start 14: FlowPolicyStatic.ValidationRejectsForeignAndDisconnectedBundles -147/170 Test #169: MaskingTests.AlgorithmsAPIMaskedSource ............................................ Passed 0.00 sec - Start 55: ShortestPathsTo.FanoutFromInteriorNodeIsRejected -148/170 Test #13: FlowPolicyStatic.MaskedBundleIsDown ............................................... Passed 0.00 sec - Start 52: ShortestPathsTo.ForwardSpfFromPseudoSourceKeepsOnlyNearestSource -149/170 Test #15: FlowPolicyCostBounds.MaxPathCostFactor_UnreachableDst_KeepsSentinelOutOfTheCast ... Passed 0.00 sec - Start 166: MaskingTests.EmptyEdgeMaskAllowsAllEdges -150/170 Test #14: FlowPolicyStatic.ValidationRejectsForeignAndDisconnectedBundles ................... Passed 0.00 sec - Start 16: FlowPolicyCostBounds.MaxPathCostFactor_HugeProduct_DropsBoundInsteadOfWrapping -151/170 Test #55: ShortestPathsTo.FanoutFromInteriorNodeIsRejected .................................. Passed 0.00 sec - Start 51: ShortestPathsTo.DistancesMatchForwardDistancesToDst -152/170 Test #52: ShortestPathsTo.ForwardSpfFromPseudoSourceKeepsOnlyNearestSource .................. Passed 0.00 sec - Start 94: FlowGraphStamp.EqualVersionDivergentCopiesCompareUnequal -153/170 Test #166: MaskingTests.EmptyEdgeMaskAllowsAllEdges .......................................... Passed 0.00 sec - Start 81: FlowState.EqualBalancedLossy_InfiniteRequestFillsWithoutDrops -154/170 Test #16: FlowPolicyCostBounds.MaxPathCostFactor_HugeProduct_DropsBoundInsteadOfWrapping .... Passed 0.00 sec - Start 79: FlowState.EqualBalancedLossy_FillAndDropReportsDrops -155/170 Test #51: ShortestPathsTo.DistancesMatchForwardDistancesToDst ............................... Passed 0.00 sec - Start 170: MaskingTests.AlgorithmsAPIMaxFlowWithMask -156/170 Test #94: FlowGraphStamp.EqualVersionDivergentCopiesCompareUnequal .......................... Passed 0.00 sec - Start 82: FlowGraph.LossyPlacementIsReversibleAndDropsStayOutOfLedger -157/170 Test #81: FlowState.EqualBalancedLossy_InfiniteRequestFillsWithoutDrops ..................... Passed 0.00 sec - Start 167: MaskingTests.AllNodesMaskedNoReachability -158/170 Test #79: FlowState.EqualBalancedLossy_FillAndDropReportsDrops .............................. Passed 0.00 sec - Start 168: MaskingTests.AllEdgesMaskedNoReachability -159/170 Test #170: MaskingTests.AlgorithmsAPIMaxFlowWithMask ......................................... Passed 0.00 sec - Start 80: FlowState.EqualBalancedLossy_DeficitPropagatesDownstream -160/170 Test #82: FlowGraph.LossyPlacementIsReversibleAndDropsStayOutOfLedger ....................... Passed 0.00 sec - Start 53: ShortestPathsTo.FanoutEdgesForceEverySourceIntoTheDag -161/170 Test #167: MaskingTests.AllNodesMaskedNoReachability ......................................... Passed 0.00 sec - Start 93: FlowGraphStamp.CopiesAndMovesGetFreshUids -162/170 Test #168: MaskingTests.AllEdgesMaskedNoReachability ......................................... Passed 0.00 sec - Start 145: KSP.MaxCostFactorBelowOne_ReturnsEmptyForAllK -163/170 Test #80: FlowState.EqualBalancedLossy_DeficitPropagatesDownstream .......................... Passed 0.00 sec - Start 54: ShortestPathsTo.FanoutSkipsUnreachableAndMaskedHeads -164/170 Test #53: ShortestPathsTo.FanoutEdgesForceEverySourceIntoTheDag ............................. Passed 0.00 sec - Start 77: FlowState.EqualBalanced_SaturatedMemberBlocksAdmission -165/170 Test #93: FlowGraphStamp.CopiesAndMovesGetFreshUids ......................................... Passed 0.00 sec - Start 78: FlowState.EqualBalanced_ProgressesOnlyThroughResidualAwareSpf -166/170 Test #145: KSP.MaxCostFactorBelowOne_ReturnsEmptyForAllK ..................................... Passed 0.00 sec - Start 56: ShortestPathsTo.SinglePathModeKeepsOneSuccessorPerNode -167/170 Test #54: ShortestPathsTo.FanoutSkipsUnreachableAndMaskedHeads .............................. Passed 0.00 sec -168/170 Test #77: FlowState.EqualBalanced_SaturatedMemberBlocksAdmission ............................ Passed 0.00 sec -169/170 Test #78: FlowState.EqualBalanced_ProgressesOnlyThroughResidualAwareSpf ..................... Passed 0.00 sec -170/170 Test #56: ShortestPathsTo.SinglePathModeKeepsOneSuccessorPerNode ............................ Passed 0.00 sec - -100% tests passed out of 170 - -Total Test time (real) = 0.10 sec -........................................................................ [ 15%] -........................................................................ [ 30%] -........................................................................ [ 46%] -........................................................................ [ 61%] -........................................................................ [ 77%] -........................................................................ [ 92%] -................................. [100%] -465 passed in 3.88s diff --git a/dev/research/metal_pathfinding/optimization/results/workspace-check-format-failure.txt b/dev/research/metal_pathfinding/optimization/results/workspace-check-format-failure.txt deleted file mode 100644 index 5ae98d9..0000000 --- a/dev/research/metal_pathfinding/optimization/results/workspace-check-format-failure.txt +++ /dev/null @@ -1,29 +0,0 @@ -📦 Installing package (editable, default optimizations) -Obtaining file:///Users/networmix/ws/NetGraph-Core - Installing build dependencies: started - Installing build dependencies: finished with status 'done' - Checking if build backend supports build_editable: started - Checking if build backend supports build_editable: finished with status 'done' - Getting requirements to build editable: started - Getting requirements to build editable: finished with status 'done' - Installing backend dependencies: started - Installing backend dependencies: finished with status 'done' - Preparing editable metadata (pyproject.toml): started - Preparing editable metadata (pyproject.toml): finished with status 'done' -Requirement already satisfied: numpy>=1.23.2 in ./venv/lib/python3.14/site-packages (from netgraph-core==0.10.0) (2.5.2) -Building wheels for collected packages: netgraph-core - Building editable for netgraph-core (pyproject.toml): started - Building editable for netgraph-core (pyproject.toml): finished with status 'done' - Created wheel for netgraph-core: filename=netgraph_core-0.10.0-cp314-cp314-macosx_15_0_arm64.whl size=314893 sha256=45dc943b94205d14b496b501ddece08674343bf5cd918dad537b691749b3e16c - Stored in directory: /private/var/folders/8q/438f_q5s0ys8nlnvjqkf953m0000gn/T/pip-ephem-wheel-cache-jhm8vyb3/wheels/18/8c/1a/f701a43f4b69f7c794e11f1f5dd0c17e819d2c98bfd1285718 -Successfully built netgraph-core -Installing collected packages: netgraph-core - Attempting uninstall: netgraph-core - Found existing installation: netgraph-core 0.10.0 - Uninstalling netgraph-core-0.10.0: - Successfully uninstalled netgraph-core-0.10.0 -Successfully installed netgraph-core-0.10.0 -Would reformat: dev/research/metal_pathfinding/optimization/summarize.py -1 file would be reformatted, 45 files already formatted -make[1]: *** [lint] Error 1 -make: *** [check-ci] Error 2 diff --git a/dev/research/metal_pathfinding/optimization/results/workspace-check.txt b/dev/research/metal_pathfinding/optimization/results/workspace-check.txt deleted file mode 100644 index 63a2578..0000000 --- a/dev/research/metal_pathfinding/optimization/results/workspace-check.txt +++ /dev/null @@ -1,391 +0,0 @@ -📦 Installing package (editable, default optimizations) -Obtaining file:///Users/networmix/ws/NetGraph-Core - Installing build dependencies: started - Installing build dependencies: finished with status 'done' - Checking if build backend supports build_editable: started - Checking if build backend supports build_editable: finished with status 'done' - Getting requirements to build editable: started - Getting requirements to build editable: finished with status 'done' - Installing backend dependencies: started - Installing backend dependencies: finished with status 'done' - Preparing editable metadata (pyproject.toml): started - Preparing editable metadata (pyproject.toml): finished with status 'done' -Requirement already satisfied: numpy>=1.23.2 in ./venv/lib/python3.14/site-packages (from netgraph-core==0.10.0) (2.5.2) -Building wheels for collected packages: netgraph-core - Building editable for netgraph-core (pyproject.toml): started - Building editable for netgraph-core (pyproject.toml): finished with status 'done' - Created wheel for netgraph-core: filename=netgraph_core-0.10.0-cp314-cp314-macosx_15_0_arm64.whl size=314893 sha256=d1b60157a21593b4395cd742e5e77836464e64204d8e6696eaad98b9b46fcad9 - Stored in directory: /private/var/folders/8q/438f_q5s0ys8nlnvjqkf953m0000gn/T/pip-ephem-wheel-cache-pakafcm5/wheels/18/8c/1a/f701a43f4b69f7c794e11f1f5dd0c17e819d2c98bfd1285718 -Successfully built netgraph-core -Installing collected packages: netgraph-core - Attempting uninstall: netgraph-core - Found existing installation: netgraph-core 0.10.0 - Uninstalling netgraph-core-0.10.0: - Successfully uninstalled netgraph-core-0.10.0 -Successfully installed netgraph-core-0.10.0 -46 files already formatted -All checks passed! -0 errors, 0 warnings, 0 informations -WARNING: there is a new pyright version available (v1.1.401 -> v1.1.414). -Please install the new version or set PYRIGHT_PYTHON_FORCE_VERSION to `latest` - --- pybind11 not found via config; using FetchContent --- pybind11 v3.0.0 --- LTO not supported: CMake doesn't support IPO for current C compiler --- Configuring done (0.5s) --- Generating done (0.0s) --- Build files have been written to: /Users/networmix/ws/NetGraph-Core/build/cpp-tests -ninja: no work to do. -Test project /Users/networmix/ws/NetGraph-Core/build/cpp-tests - Start 141: KShortestPaths.DisconnectedReturnsEmpty - Start 132: MaxFlow.Sensitivity_ShortestPathVsMaxFlow - Start 34: StrictMultiDiGraph.NegativeNodeIdThrows - Start 11: FlowPolicyCore.EqualBalanced_ShortestPath_IgnoresHigherCostTier - 1/170 Test #141: KShortestPaths.DisconnectedReturnsEmpty ........................................... Passed 0.04 sec - 2/170 Test #34: StrictMultiDiGraph.NegativeNodeIdThrows ........................................... Passed 0.03 sec - Start 152: MaskingTests.MaskedIntermediateNode - Start 9: FlowPolicyCore.EqualBalanced_ShortestPath_ECMP3_SaturatesAllEqualCostPaths - 3/170 Test #132: MaxFlow.Sensitivity_ShortestPathVsMaxFlow ......................................... Passed 0.04 sec - 4/170 Test #11: FlowPolicyCore.EqualBalanced_ShortestPath_IgnoresHigherCostTier ................... Passed 0.04 sec - Start 10: FlowPolicyCore.EqualBalanced_ShortestPath_DownstreamSplit_BalancesBottleneck - Start 105: MaxFlow.AsymmetricCapacity_1to100_Proportional - 5/170 Test #152: MaskingTests.MaskedIntermediateNode ............................................... Passed 0.00 sec - Start 154: MaskingTests.MaskedEdgeSelectsAlternativePath - 6/170 Test #9: FlowPolicyCore.EqualBalanced_ShortestPath_ECMP3_SaturatesAllEqualCostPaths ........ Passed 0.00 sec - Start 156: MaskingTests.CombinedNodeAndEdgeMasks - 7/170 Test #10: FlowPolicyCore.EqualBalanced_ShortestPath_DownstreamSplit_BalancesBottleneck ...... Passed 0.00 sec - Start 144: KShortestPaths.LargerOutOfOrderTopology - 8/170 Test #105: MaxFlow.AsymmetricCapacity_1to100_Proportional .................................... Passed 0.00 sec - Start 43: ShortestPaths.PredDAGIntegrity - 9/170 Test #154: MaskingTests.MaskedEdgeSelectsAlternativePath ..................................... Passed 0.00 sec - Start 148: MaskingTests.MaskedSourceInMaxFlow - 10/170 Test #156: MaskingTests.CombinedNodeAndEdgeMasks ............................................. Passed 0.00 sec - Start 118: MaxFlow.OptionalOutputs_ResidualAndReachable - 11/170 Test #144: KShortestPaths.LargerOutOfOrderTopology ........................................... Passed 0.00 sec - Start 33: StrictMultiDiGraph.SelfLoopAllowed - 12/170 Test #43: ShortestPaths.PredDAGIntegrity .................................................... Passed 0.00 sec - Start 8: FlowPolicyCore.DiminishingReturnsCutoff - 13/170 Test #148: MaskingTests.MaskedSourceInMaxFlow ................................................ Passed 0.00 sec - Start 138: KShortestPaths.UniqueModeFiltering - 14/170 Test #118: MaxFlow.OptionalOutputs_ResidualAndReachable ...................................... Passed 0.00 sec - Start 92: FlowGraph.LedgerMicroFlows_RemovalRestoresResidual - 15/170 Test #33: StrictMultiDiGraph.SelfLoopAllowed ................................................ Passed 0.00 sec - Start 83: FlowGraph.EmptyLedgerInitially - 16/170 Test #8: FlowPolicyCore.DiminishingReturnsCutoff ........................................... Passed 0.00 sec - Start 47: ShortestPaths.ResolveToPathsWithMaxPathsLimit - 17/170 Test #138: KShortestPaths.UniqueModeFiltering ................................................ Passed 0.00 sec - Start 67: FlowState.InvalidResidualInitThrows - 18/170 Test #92: FlowGraph.LedgerMicroFlows_RemovalRestoresResidual ................................ Passed 0.00 sec - Start 106: MaxFlow.AsymmetricCapacity_1to1M_NumericalStability - 19/170 Test #83: FlowGraph.EmptyLedgerInitially .................................................... Passed 0.00 sec - Start 17: StrictMultiDiGraph.EmptyGraph - 20/170 Test #47: ShortestPaths.ResolveToPathsWithMaxPathsLimit ..................................... Passed 0.00 sec - Start 1: GraphSmoke.ConstructAndRunSPF - 21/170 Test #67: FlowState.InvalidResidualInitThrows ............................................... Passed 0.00 sec - Start 41: ShortestPaths.EdgeMaskFiltering - 22/170 Test #106: MaxFlow.AsymmetricCapacity_1to1M_NumericalStability ............................... Passed 0.00 sec - Start 89: FlowGraph.GetFlowPathForDAGReturnsEmpty - 23/170 Test #17: StrictMultiDiGraph.EmptyGraph ..................................................... Passed 0.00 sec - Start 104: MaxFlow.ECMP_TenPaths_ScalabilityValidation - 24/170 Test #1: GraphSmoke.ConstructAndRunSPF ..................................................... Passed 0.00 sec - Start 61: FlowState.ZeroCapacityHandling - 25/170 Test #41: ShortestPaths.EdgeMaskFiltering ................................................... Passed 0.00 sec - Start 22: StrictMultiDiGraph.ExternalEdgeIdsPreserved - 26/170 Test #89: FlowGraph.GetFlowPathForDAGReturnsEmpty ........................................... Passed 0.00 sec - Start 149: MaskingTests.MaskedSourceInComputeMinCut - 27/170 Test #104: MaxFlow.ECMP_TenPaths_ScalabilityValidation ....................................... Passed 0.00 sec - Start 126: MaxFlow.Triangle_Topology_Combine_Mode - 28/170 Test #61: FlowState.ZeroCapacityHandling .................................................... Passed 0.00 sec - Start 103: MaxFlow.ECMP_FourPaths_ClosFabric_Simulation - 29/170 Test #22: StrictMultiDiGraph.ExternalEdgeIdsPreserved ....................................... Passed 0.00 sec - Start 107: MaxFlow.AsymmetricCapacity_1to100_EqualBalanced - 30/170 Test #149: MaskingTests.MaskedSourceInComputeMinCut .......................................... Passed 0.00 sec - Start 109: MaxFlow.ZeroCapacityPath_CorrectFiltering - 31/170 Test #126: MaxFlow.Triangle_Topology_Combine_Mode ............................................ Passed 0.00 sec - Start 155: MaskingTests.MultipleEdgesMasked - 32/170 Test #103: MaxFlow.ECMP_FourPaths_ClosFabric_Simulation ...................................... Passed 0.00 sec - Start 122: MaxFlow.GridGraph_3x3_MultipleEqualCostPaths - 33/170 Test #107: MaxFlow.AsymmetricCapacity_1to100_EqualBalanced ................................... Passed 0.00 sec - Start 42: ShortestPaths.EarlyExitOptimization - 34/170 Test #109: MaxFlow.ZeroCapacityPath_CorrectFiltering ......................................... Passed 0.00 sec - Start 64: FlowState.MinCutComputation - 35/170 Test #155: MaskingTests.MultipleEdgesMasked .................................................. Passed 0.00 sec - 36/170 Test #122: MaxFlow.GridGraph_3x3_MultipleEqualCostPaths ...................................... Passed 0.00 sec - Start 75: FlowState.Proportional_ZeroCapacityOnShortestPath_ReturnsZero - Start 29: StrictMultiDiGraph.ExtEdgeIdsWrongLengthThrows - 37/170 Test #42: ShortestPaths.EarlyExitOptimization ............................................... Passed 0.00 sec - Start 32: StrictMultiDiGraph.NegativeCostThrows - 38/170 Test #64: FlowState.MinCutComputation ....................................................... Passed 0.00 sec - Start 135: KShortestPaths.FindsKPaths - 39/170 Test #75: FlowState.Proportional_ZeroCapacityOnShortestPath_ReturnsZero ..................... Passed 0.00 sec - Start 99: MaxFlow.ECMP_TwoPaths_Proportional_ShortestPath - 40/170 Test #29: StrictMultiDiGraph.ExtEdgeIdsWrongLengthThrows .................................... Passed 0.00 sec - Start 21: StrictMultiDiGraph.EdgeSortingByCost - 41/170 Test #32: StrictMultiDiGraph.NegativeCostThrows ............................................. Passed 0.00 sec - Start 7: FlowPolicyCore.EqualBalanced_SingleDemand_FlowCount3_SaturatesBothPaths - 42/170 Test #135: KShortestPaths.FindsKPaths ........................................................ Passed 0.00 sec - Start 37: ShortestPaths.DisconnectedComponents - 43/170 Test #99: MaxFlow.ECMP_TwoPaths_Proportional_ShortestPath ................................... Passed 0.00 sec - Start 69: FlowState.ApplyDeltasClampsWithinCapacityBounds - 44/170 Test #21: StrictMultiDiGraph.EdgeSortingByCost .............................................. Passed 0.00 sec - Start 143: KShortestPaths.OutOfOrderNodePredDAGSemantics - 45/170 Test #7: FlowPolicyCore.EqualBalanced_SingleDemand_FlowCount3_SaturatesBothPaths ........... Passed 0.00 sec - Start 134: MaxFlow.CompletionPhase_RespectsNodeMask - 46/170 Test #37: ShortestPaths.DisconnectedComponents .............................................. Passed 0.00 sec - Start 68: FlowState.ResetWithInvalidResidualThrows - 47/170 Test #69: FlowState.ApplyDeltasClampsWithinCapacityBounds ................................... Passed 0.00 sec - Start 46: ShortestPaths.ResolveToPathsSplittingParallelEdges - 48/170 Test #143: KShortestPaths.OutOfOrderNodePredDAGSemantics ..................................... Passed 0.00 sec - Start 112: MaxFlow.EqualCost_ShortestVsFull_Equivalent - 49/170 Test #134: MaxFlow.CompletionPhase_RespectsNodeMask .......................................... Passed 0.00 sec - Start 157: MaskingTests.NodeMaskOverridesEdgeMask - 50/170 Test #68: FlowState.ResetWithInvalidResidualThrows .......................................... Passed 0.00 sec - Start 153: MaskingTests.MaskedEdgeBlocksPath - 51/170 Test #46: ShortestPaths.ResolveToPathsSplittingParallelEdges ................................ Passed 0.00 sec - Start 133: MaxFlow.CompletionPhase_RecoversCancellation - 52/170 Test #112: MaxFlow.EqualCost_ShortestVsFull_Equivalent ....................................... Passed 0.00 sec - Start 35: StrictMultiDiGraph.MultipleCostTiers - 53/170 Test #157: MaskingTests.NodeMaskOverridesEdgeMask ............................................ Passed 0.00 sec - Start 71: FlowState.EqualBalanced_ECMP3_FirstHopEqualization - 54/170 Test #153: MaskingTests.MaskedEdgeBlocksPath ................................................. Passed 0.00 sec - Start 27: StrictMultiDiGraph.InvalidNumNodesThrows - 55/170 Test #133: MaxFlow.CompletionPhase_RecoversCancellation ...................................... Passed 0.00 sec - Start 114: MaxFlow.PlacementModes_EqualCapacity_IdenticalResult - 56/170 Test #35: StrictMultiDiGraph.MultipleCostTiers .............................................. Passed 0.00 sec - Start 91: FlowGraph.LedgerHistory_RemovalRestoresResidual - 57/170 Test #71: FlowState.EqualBalanced_ECMP3_FirstHopEqualization ................................ Passed 0.00 sec - Start 20: StrictMultiDiGraph.ParallelEdges - 58/170 Test #27: StrictMultiDiGraph.InvalidNumNodesThrows .......................................... Passed 0.00 sec - Start 63: FlowState.ApplyDeltasSubtractive - 59/170 Test #114: MaxFlow.PlacementModes_EqualCapacity_IdenticalResult .............................. Passed 0.00 sec - Start 31: StrictMultiDiGraph.NegativeCapacityThrows - 60/170 Test #91: FlowGraph.LedgerHistory_RemovalRestoresResidual ................................... Passed 0.00 sec - Start 2: FlowPolicyCore.Proportional_SingleDemand_UsesShortestPath - 61/170 Test #20: StrictMultiDiGraph.ParallelEdges .................................................. Passed 0.00 sec - Start 5: FlowPolicyCore.Proportional_SingleDemand_PartialPlacement_InsufficientCapacity - 62/170 Test #63: FlowState.ApplyDeltasSubtractive .................................................. Passed 0.00 sec - Start 150: MaskingTests.OutOfRangeSourceInComputeMinCut - 63/170 Test #31: StrictMultiDiGraph.NegativeCapacityThrows ......................................... Passed 0.00 sec - Start 100: MaxFlow.ECMP_TwoPaths_Proportional_FullMaxFlow - 64/170 Test #2: FlowPolicyCore.Proportional_SingleDemand_UsesShortestPath ......................... Passed 0.00 sec - Start 76: FlowState.RepeatedPlacementAfterResetAndIndependentInstancesStayStable - 65/170 Test #5: FlowPolicyCore.Proportional_SingleDemand_PartialPlacement_InsufficientCapacity .... Passed 0.00 sec - Start 121: MaxFlow.BatchMaxFlow_IndependentMaskApplication - 66/170 Test #150: MaskingTests.OutOfRangeSourceInComputeMinCut ...................................... Passed 0.00 sec - Start 117: MaxFlow.CostDistribution_AccountsForAllFlow - 67/170 Test #100: MaxFlow.ECMP_TwoPaths_Proportional_FullMaxFlow .................................... Passed 0.00 sec - Start 113: MaxFlow.ThreeCostTiers_ShortestPath_LowestTierOnly - 68/170 Test #76: FlowState.RepeatedPlacementAfterResetAndIndependentInstancesStayStable ............ Passed 0.00 sec - Start 23: StrictMultiDiGraph.CSROffsetsMonotonicity - 69/170 Test #121: MaxFlow.BatchMaxFlow_IndependentMaskApplication ................................... Passed 0.00 sec - Start 48: ShortestPaths.LargeGraphStressTest - 70/170 Test #117: MaxFlow.CostDistribution_AccountsForAllFlow ....................................... Passed 0.00 sec - Start 58: FlowState.PlacementReducesResidual - 71/170 Test #113: MaxFlow.ThreeCostTiers_ShortestPath_LowestTierOnly ................................ Passed 0.00 sec - Start 4: FlowPolicyCore.Proportional_SingleDemand_MaxFlowCount1_UsesSinglePath - 72/170 Test #23: StrictMultiDiGraph.CSROffsetsMonotonicity ......................................... Passed 0.00 sec - Start 59: FlowState.ProportionalDistribution - 73/170 Test #48: ShortestPaths.LargeGraphStressTest ................................................ Passed 0.00 sec - Start 130: MaxFlow.Sensitivity_TwoParallelPaths - 74/170 Test #58: FlowState.PlacementReducesResidual ................................................ Passed 0.00 sec - Start 6: FlowPolicyCore.EqualBalanced_SingleDemand_FlowCount2_BalancedDistribution - 75/170 Test #4: FlowPolicyCore.Proportional_SingleDemand_MaxFlowCount1_UsesSinglePath ............. Passed 0.00 sec - Start 44: ShortestPaths.TieBreakingDeterminism - 76/170 Test #59: FlowState.ProportionalDistribution ................................................ Passed 0.00 sec - Start 140: KShortestPaths.PathsSortedByCost - 77/170 Test #130: MaxFlow.Sensitivity_TwoParallelPaths .............................................. Passed 0.00 sec - Start 158: MaskingTests.MaskWithResidualCapacity - 78/170 Test #6: FlowPolicyCore.EqualBalanced_SingleDemand_FlowCount2_BalancedDistribution ......... Passed 0.00 sec - Start 39: ShortestPaths.ResidualAwareFiltering - 79/170 Test #44: ShortestPaths.TieBreakingDeterminism .............................................. Passed 0.00 sec - Start 161: MaskingTests.KSPWithEdgeMask - 80/170 Test #140: KShortestPaths.PathsSortedByCost .................................................. Passed 0.00 sec - Start 162: MaskingTests.MaxFlowWithNodeMask - 81/170 Test #158: MaskingTests.MaskWithResidualCapacity ............................................. Passed 0.00 sec - Start 127: MaxFlow.SimpleParallelPaths_Topology - 82/170 Test #39: ShortestPaths.ResidualAwareFiltering .............................................. Passed 0.00 sec - Start 49: ShortestPaths.RejectsMaskLengthMismatch - 83/170 Test #161: MaskingTests.KSPWithEdgeMask ...................................................... Passed 0.00 sec - Start 137: KShortestPaths.NodeMaskBlocksPaths - 84/170 Test #162: MaskingTests.MaxFlowWithNodeMask .................................................. Passed 0.00 sec - Start 18: StrictMultiDiGraph.SingleNode - 85/170 Test #127: MaxFlow.SimpleParallelPaths_Topology .............................................. Passed 0.00 sec - Start 108: MaxFlow.EqualBalanced_NodeMask_ReducesECMPWidth - 86/170 Test #49: ShortestPaths.RejectsMaskLengthMismatch ........................................... Passed 0.00 sec - Start 88: FlowGraph.GetFlowPathForLinearFlow - 87/170 Test #137: KShortestPaths.NodeMaskBlocksPaths ................................................ Passed 0.00 sec - Start 160: MaskingTests.KSPWithNodeMask - 88/170 Test #18: StrictMultiDiGraph.SingleNode ..................................................... Passed 0.00 sec - Start 50: ShortestPaths.ZeroCostEdges_PredDAGIsAcyclic - 89/170 Test #108: MaxFlow.EqualBalanced_NodeMask_ReducesECMPWidth ................................... Passed 0.00 sec - Start 3: FlowPolicyCore.Proportional_SingleDemand_SplitsAcrossTwoEqualCostPaths - 90/170 Test #88: FlowGraph.GetFlowPathForLinearFlow ................................................ Passed 0.00 sec - Start 142: KShortestPaths.LooplessPaths - 91/170 Test #160: MaskingTests.KSPWithNodeMask ...................................................... Passed 0.00 sec - Start 116: MaxFlow.MinCut_ValidEdgeIdentification - 92/170 Test #50: ShortestPaths.ZeroCostEdges_PredDAGIsAcyclic ...................................... Passed 0.00 sec - Start 36: ShortestPaths.SingleSourceAllNodes - 93/170 Test #3: FlowPolicyCore.Proportional_SingleDemand_SplitsAcrossTwoEqualCostPaths ............ Passed 0.00 sec - Start 136: KShortestPaths.KEqualsZeroReturnsEmpty - 94/170 Test #142: KShortestPaths.LooplessPaths ...................................................... Passed 0.00 sec - Start 38: ShortestPaths.MultipleEqualCostPaths - 95/170 Test #116: MaxFlow.MinCut_ValidEdgeIdentification ............................................ Passed 0.00 sec - Start 111: MaxFlow.TwoCostTiers_FullMaxFlow_AllTiers - 96/170 Test #36: ShortestPaths.SingleSourceAllNodes ................................................ Passed 0.00 sec - Start 24: StrictMultiDiGraph.CSRReverseAdjacency - 97/170 Test #136: KShortestPaths.KEqualsZeroReturnsEmpty ............................................ Passed 0.00 sec - Start 97: MaxFlow.SinglePath_ShortestPathEquivalence - 98/170 Test #38: ShortestPaths.MultipleEqualCostPaths .............................................. Passed 0.00 sec - Start 90: FlowGraph.CoalescesDuplicateEdgeIds - 99/170 Test #111: MaxFlow.TwoCostTiers_FullMaxFlow_AllTiers ......................................... Passed 0.00 sec - Start 146: MaskingTests.MaskedSourceReturnsEmptyDAG -100/170 Test #24: StrictMultiDiGraph.CSRReverseAdjacency ............................................ Passed 0.00 sec - Start 28: StrictMultiDiGraph.MismatchedArrayLengthsThrow -101/170 Test #97: MaxFlow.SinglePath_ShortestPathEquivalence ........................................ Passed 0.00 sec - Start 124: MaxFlow.Clos_3Tier_Topology_Proportional_Shortest -102/170 Test #90: FlowGraph.CoalescesDuplicateEdgeIds ............................................... Passed 0.00 sec - Start 131: MaxFlow.Sensitivity_PartialSaturation -103/170 Test #146: MaskingTests.MaskedSourceReturnsEmptyDAG .......................................... Passed 0.00 sec - Start 110: MaxFlow.TwoCostTiers_ShortestPath_SingleTierOnly -104/170 Test #28: StrictMultiDiGraph.MismatchedArrayLengthsThrow .................................... Passed 0.00 sec - Start 129: MaxFlow.Sensitivity_SinglePath -105/170 Test #124: MaxFlow.Clos_3Tier_Topology_Proportional_Shortest ................................. Passed 0.00 sec - Start 120: MaxFlow.EdgeMask_SelectiveEdgeFiltering -106/170 Test #131: MaxFlow.Sensitivity_PartialSaturation ............................................. Passed 0.00 sec - Start 45: ShortestPaths.PreferHigherResidualTieBreak -107/170 Test #110: MaxFlow.TwoCostTiers_ShortestPath_SingleTierOnly .................................. Passed 0.00 sec - Start 25: StrictMultiDiGraph.MaxCapacityEdges -108/170 Test #129: MaxFlow.Sensitivity_SinglePath .................................................... Passed 0.00 sec - Start 57: FlowState.InitialResidualEqualsCapacity -109/170 Test #120: MaxFlow.EdgeMask_SelectiveEdgeFiltering ........................................... Passed 0.00 sec - Start 123: MaxFlow.SharedBottleneck_MultiplePathsMerge -110/170 Test #45: ShortestPaths.PreferHigherResidualTieBreak ........................................ Passed 0.00 sec - Start 40: ShortestPaths.NodeMaskIsolation -111/170 Test #25: StrictMultiDiGraph.MaxCapacityEdges ............................................... Passed 0.00 sec - Start 125: MaxFlow.Clos_3Tier_Topology_EqualBalanced_Shortest -112/170 Test #57: FlowState.InitialResidualEqualsCapacity ........................................... Passed 0.00 sec - Start 128: MaxFlow.ShortestPath_MustSaturateAllEqualCostPaths -113/170 Test #123: MaxFlow.SharedBottleneck_MultiplePathsMerge ....................................... Passed 0.00 sec - Start 159: MaskingTests.ResidualAndNodeMaskCombined -114/170 Test #40: ShortestPaths.NodeMaskIsolation ................................................... Passed 0.00 sec - Start 74: FlowState.EqualBalanced_ZeroCapacityOnShortestPath_ReturnsZero -115/170 Test #125: MaxFlow.Clos_3Tier_Topology_EqualBalanced_Shortest ................................ Passed 0.00 sec - Start 147: MaskingTests.MaskedSourceWithDestination -116/170 Test #128: MaxFlow.ShortestPath_MustSaturateAllEqualCostPaths ................................ Passed 0.00 sec - Start 70: FlowState.EqualBalancedReconvergentDAGPlacesAll -117/170 Test #159: MaskingTests.ResidualAndNodeMaskCombined .......................................... Passed 0.00 sec - Start 84: FlowGraph.PlacementCreatesEntry -118/170 Test #74: FlowState.EqualBalanced_ZeroCapacityOnShortestPath_ReturnsZero .................... Passed 0.00 sec - Start 62: FlowState.ApplyDeltasAdditive -119/170 Test #147: MaskingTests.MaskedSourceWithDestination .......................................... Passed 0.00 sec - Start 65: FlowState.ResetRestoresCapacity -120/170 Test #70: FlowState.EqualBalancedReconvergentDAGPlacesAll ................................... Passed 0.00 sec - Start 19: StrictMultiDiGraph.SingleEdge -121/170 Test #84: FlowGraph.PlacementCreatesEntry ................................................... Passed 0.00 sec - Start 139: KShortestPaths.MaxCostFactorLimit -122/170 Test #62: FlowState.ApplyDeltasAdditive ..................................................... Passed 0.00 sec - Start 30: StrictMultiDiGraph.OutOfRangeNodeThrows -123/170 Test #65: FlowState.ResetRestoresCapacity ................................................... Passed 0.00 sec - Start 60: FlowState.EqualBalancedDistribution -124/170 Test #19: StrictMultiDiGraph.SingleEdge ..................................................... Passed 0.00 sec - Start 151: MaskingTests.MaskedDestinationUnreachable -125/170 Test #139: KShortestPaths.MaxCostFactorLimit ................................................. Passed 0.00 sec - Start 96: MaxFlow.SinglePath_BottleneckConstraint -126/170 Test #30: StrictMultiDiGraph.OutOfRangeNodeThrows ........................................... Passed 0.00 sec - Start 66: FlowState.CustomInitialResidual -127/170 Test #60: FlowState.EqualBalancedDistribution ............................................... Passed 0.00 sec - Start 101: MaxFlow.ECMP_TwoPaths_EqualBalanced_ShortestPath -128/170 Test #151: MaskingTests.MaskedDestinationUnreachable ......................................... Passed 0.00 sec - Start 115: MaxFlow.FlowConservation_IntermediateNodes -129/170 Test #96: MaxFlow.SinglePath_BottleneckConstraint ........................................... Passed 0.00 sec - Start 102: MaxFlow.ECMP_ThreePaths_Proportional_ShortestPath -130/170 Test #66: FlowState.CustomInitialResidual ................................................... Passed 0.00 sec - Start 26: StrictMultiDiGraph.ZeroCostEdges -131/170 Test #101: MaxFlow.ECMP_TwoPaths_EqualBalanced_ShortestPath .................................. Passed 0.00 sec - Start 95: MaxFlow.SinglePath_BasicLinear -132/170 Test #115: MaxFlow.FlowConservation_IntermediateNodes ........................................ Passed 0.00 sec - Start 72: FlowState.EqualBalanced_MinFlowGating_DoesNotPruneValidParallelEdges -133/170 Test #102: MaxFlow.ECMP_ThreePaths_Proportional_ShortestPath ................................. Passed 0.00 sec - Start 98: MaxFlow.DegenerateCase_SourceEqualsSink -134/170 Test #26: StrictMultiDiGraph.ZeroCostEdges .................................................. Passed 0.00 sec - Start 86: FlowGraph.RemoveByClassFiltersCorrectly -135/170 Test #95: MaxFlow.SinglePath_BasicLinear .................................................... Passed 0.00 sec - Start 73: FlowState.EqualBalanced_DownstreamSplitEqualization -136/170 Test #72: FlowState.EqualBalanced_MinFlowGating_DoesNotPruneValidParallelEdges .............. Passed 0.00 sec - Start 119: MaxFlow.NodeMask_BlocksFlowThroughNode -137/170 Test #98: MaxFlow.DegenerateCase_SourceEqualsSink ........................................... Passed 0.00 sec - Start 85: FlowGraph.RemovalDeletesEntry -138/170 Test #86: FlowGraph.RemoveByClassFiltersCorrectly ........................................... Passed 0.00 sec - Start 87: FlowGraph.GetFlowEdgesReturnsDeltas -139/170 Test #73: FlowState.EqualBalanced_DownstreamSplitEqualization ............................... Passed 0.00 sec - Start 163: MaskingTests.MaxFlowWithEdgeMask -140/170 Test #119: MaxFlow.NodeMask_BlocksFlowThroughNode ............................................ Passed 0.00 sec - Start 164: MaskingTests.MaxFlowAllPathsMasked -141/170 Test #85: FlowGraph.RemovalDeletesEntry ..................................................... Passed 0.00 sec - Start 165: MaskingTests.EmptyNodeMaskAllowsAllNodes -142/170 Test #87: FlowGraph.GetFlowEdgesReturnsDeltas ............................................... Passed 0.00 sec - Start 12: FlowPolicyStatic.PerFlowBundleBinding -143/170 Test #163: MaskingTests.MaxFlowWithEdgeMask .................................................. Passed 0.00 sec - Start 169: MaskingTests.AlgorithmsAPIMaskedSource -144/170 Test #164: MaskingTests.MaxFlowAllPathsMasked ................................................ Passed 0.00 sec - Start 13: FlowPolicyStatic.MaskedBundleIsDown -145/170 Test #165: MaskingTests.EmptyNodeMaskAllowsAllNodes .......................................... Passed 0.00 sec - Start 15: FlowPolicyCostBounds.MaxPathCostFactor_UnreachableDst_KeepsSentinelOutOfTheCast -146/170 Test #12: FlowPolicyStatic.PerFlowBundleBinding ............................................. Passed 0.00 sec - Start 14: FlowPolicyStatic.ValidationRejectsForeignAndDisconnectedBundles -147/170 Test #169: MaskingTests.AlgorithmsAPIMaskedSource ............................................ Passed 0.00 sec - Start 55: ShortestPathsTo.FanoutFromInteriorNodeIsRejected -148/170 Test #13: FlowPolicyStatic.MaskedBundleIsDown ............................................... Passed 0.00 sec - Start 51: ShortestPathsTo.DistancesMatchForwardDistancesToDst -149/170 Test #15: FlowPolicyCostBounds.MaxPathCostFactor_UnreachableDst_KeepsSentinelOutOfTheCast ... Passed 0.00 sec - Start 166: MaskingTests.EmptyEdgeMaskAllowsAllEdges -150/170 Test #14: FlowPolicyStatic.ValidationRejectsForeignAndDisconnectedBundles ................... Passed 0.00 sec - Start 81: FlowState.EqualBalancedLossy_InfiniteRequestFillsWithoutDrops -151/170 Test #55: ShortestPathsTo.FanoutFromInteriorNodeIsRejected .................................. Passed 0.00 sec - Start 79: FlowState.EqualBalancedLossy_FillAndDropReportsDrops -152/170 Test #51: ShortestPathsTo.DistancesMatchForwardDistancesToDst ............................... Passed 0.00 sec - Start 82: FlowGraph.LossyPlacementIsReversibleAndDropsStayOutOfLedger -153/170 Test #166: MaskingTests.EmptyEdgeMaskAllowsAllEdges .......................................... Passed 0.00 sec - Start 16: FlowPolicyCostBounds.MaxPathCostFactor_HugeProduct_DropsBoundInsteadOfWrapping -154/170 Test #81: FlowState.EqualBalancedLossy_InfiniteRequestFillsWithoutDrops ..................... Passed 0.00 sec - Start 52: ShortestPathsTo.ForwardSpfFromPseudoSourceKeepsOnlyNearestSource -155/170 Test #79: FlowState.EqualBalancedLossy_FillAndDropReportsDrops .............................. Passed 0.00 sec - Start 170: MaskingTests.AlgorithmsAPIMaxFlowWithMask -156/170 Test #82: FlowGraph.LossyPlacementIsReversibleAndDropsStayOutOfLedger ....................... Passed 0.00 sec - Start 94: FlowGraphStamp.EqualVersionDivergentCopiesCompareUnequal -157/170 Test #16: FlowPolicyCostBounds.MaxPathCostFactor_HugeProduct_DropsBoundInsteadOfWrapping .... Passed 0.00 sec - Start 167: MaskingTests.AllNodesMaskedNoReachability -158/170 Test #52: ShortestPathsTo.ForwardSpfFromPseudoSourceKeepsOnlyNearestSource .................. Passed 0.00 sec - Start 168: MaskingTests.AllEdgesMaskedNoReachability -159/170 Test #170: MaskingTests.AlgorithmsAPIMaxFlowWithMask ......................................... Passed 0.00 sec - Start 80: FlowState.EqualBalancedLossy_DeficitPropagatesDownstream -160/170 Test #94: FlowGraphStamp.EqualVersionDivergentCopiesCompareUnequal .......................... Passed 0.00 sec - Start 53: ShortestPathsTo.FanoutEdgesForceEverySourceIntoTheDag -161/170 Test #167: MaskingTests.AllNodesMaskedNoReachability ......................................... Passed 0.00 sec - Start 93: FlowGraphStamp.CopiesAndMovesGetFreshUids -162/170 Test #168: MaskingTests.AllEdgesMaskedNoReachability ......................................... Passed 0.00 sec - Start 145: KSP.MaxCostFactorBelowOne_ReturnsEmptyForAllK -163/170 Test #80: FlowState.EqualBalancedLossy_DeficitPropagatesDownstream .......................... Passed 0.00 sec - Start 77: FlowState.EqualBalanced_SaturatedMemberBlocksAdmission -164/170 Test #53: ShortestPathsTo.FanoutEdgesForceEverySourceIntoTheDag ............................. Passed 0.00 sec - Start 54: ShortestPathsTo.FanoutSkipsUnreachableAndMaskedHeads -165/170 Test #93: FlowGraphStamp.CopiesAndMovesGetFreshUids ......................................... Passed 0.00 sec - Start 78: FlowState.EqualBalanced_ProgressesOnlyThroughResidualAwareSpf -166/170 Test #145: KSP.MaxCostFactorBelowOne_ReturnsEmptyForAllK ..................................... Passed 0.00 sec - Start 56: ShortestPathsTo.SinglePathModeKeepsOneSuccessorPerNode -167/170 Test #77: FlowState.EqualBalanced_SaturatedMemberBlocksAdmission ............................ Passed 0.00 sec -168/170 Test #54: ShortestPathsTo.FanoutSkipsUnreachableAndMaskedHeads .............................. Passed 0.00 sec -169/170 Test #78: FlowState.EqualBalanced_ProgressesOnlyThroughResidualAwareSpf ..................... Passed 0.00 sec -170/170 Test #56: ShortestPathsTo.SinglePathModeKeepsOneSuccessorPerNode ............................ Passed 0.00 sec - -100% tests passed out of 170 - -Total Test time (real) = 0.13 sec -........................................................................ [ 15%] -........................................................................ [ 30%] -........................................................................ [ 46%] -........................................................................ [ 61%] -........................................................................ [ 77%] -........................................................................ [ 92%] -................................. [100%] -465 passed in 3.91s diff --git a/dev/research/metal_pathfinding/optimization/run_aba.sh b/dev/research/metal_pathfinding/optimization/run_aba.sh deleted file mode 100644 index 7c041d9..0000000 --- a/dev/research/metal_pathfinding/optimization/run_aba.sh +++ /dev/null @@ -1,30 +0,0 @@ -#!/usr/bin/env bash -# Run sequentially on the same machine. Do not overlap with builds or tests. -set -euo pipefail -cd "$(dirname "$0")/../../.." -out=${1:-dev/research/metal_pathfinding/optimization/results/aba} -mkdir -p "$out" -unset NGRAPH_CORE_PROFILE -{ - date -u '+%Y-%m-%dT%H:%M:%SZ' - git rev-parse HEAD - sw_vers - sysctl -n machdep.cpu.brand_string hw.memsize hw.ncpu - xcrun clang++ --version - shasum -a 256 dev/research/metal_pathfinding/experiment.mm dev/research/metal_pathfinding/sssp.metal \ - dev/research/metal_pathfinding/optimization/experiment.mm dev/research/metal_pathfinding/optimization/kernels.metal \ - build/metal_pathfinding/optimized - pmset -g therm -} > "$out/environment.txt" -for phase in cpu-a1 base-a1 optimized-b base-a2 cpu-a2; do - top -l 2 -n 8 -o cpu -stats pid,command,cpu,threads > "$out/load-$phase.txt" - ioreg -r -c AGXAccelerator -l | sed -n '/"PerformanceStatistics"/p' > "$out/gpu-load-$phase.txt" - case "$phase" in - cpu-*) mode=cpu ;; - base-*) mode=base ;; - optimized-b) mode=optimized ;; - esac - date -u '+%Y-%m-%dT%H:%M:%SZ' > "$out/time-$phase.txt" - build/metal_pathfinding/optimized "$mode" full 7 > "$out/$phase.csv" 2> "$out/$phase-stderr.txt" - date -u '+%Y-%m-%dT%H:%M:%SZ' >> "$out/time-$phase.txt" -done diff --git a/dev/research/metal_pathfinding/optimization/run_cpu_aba.sh b/dev/research/metal_pathfinding/optimization/run_cpu_aba.sh deleted file mode 100644 index a15f747..0000000 --- a/dev/research/metal_pathfinding/optimization/run_cpu_aba.sh +++ /dev/null @@ -1,21 +0,0 @@ -#!/usr/bin/env bash -set -euo pipefail -cd "$(dirname "$0")/../../.." -out=dev/research/metal_pathfinding/optimization/results/cpu-algorithms-aba -mkdir -p "$out" -unset NGRAPH_CORE_PROFILE -{ - date -u '+%Y-%m-%dT%H:%M:%SZ' - git rev-parse HEAD - shasum -a 256 dev/research/metal_pathfinding/optimization/cpu_algorithms.mm \ - build/metal_pathfinding/cpu-algorithms build/metal_pathfinding/optimized -} > "$out/environment.txt" -for phase in a1 b a2; do - top -l 2 -n 8 -o cpu -stats pid,command,cpu,threads > "$out/load-$phase.txt" - ioreg -r -c AGXAccelerator -l | sed -n '/"PerformanceStatistics"/p' > "$out/gpu-load-$phase.txt" - if [[ $phase == b ]]; then - build/metal_pathfinding/optimized optimized full 7 > "$out/$phase.csv" 2> "$out/$phase-stderr.txt" - else - build/metal_pathfinding/cpu-algorithms 7 > "$out/$phase.csv" 2> "$out/$phase-stderr.txt" - fi -done diff --git a/dev/research/metal_pathfinding/optimization/summarize.py b/dev/research/metal_pathfinding/optimization/summarize.py deleted file mode 100644 index 2dd648f..0000000 --- a/dev/research/metal_pathfinding/optimization/summarize.py +++ /dev/null @@ -1,106 +0,0 @@ -#!/usr/bin/env python3 -"""Produce auditable tables from all five sequential benchmark phases.""" - -import csv -import json -from pathlib import Path - -ROOT = Path(__file__).resolve().parent / "results" / "aba" -PHASES = ("cpu-a1", "base-a1", "optimized-b", "base-a2", "cpu-a2") -rows = {p: list(csv.DictReader((ROOT / f"{p}.csv").open())) for p in PHASES} -assert [len(rows[p]) for p in PHASES] == [48, 36, 216, 36, 48] -assert all(r["correct"] == "pass" for rs in rows.values() for r in rs) - - -def key(r): - return tuple(r[k] for k in ("case", "n", "e", "queries")) - - -def table(phase, case): - return {r["method"]: r for r in rows[phase] if key(r) == case} - - -def elapsed(r): - return float(r["wall_ms"]) - - -keys = list(dict.fromkeys(key(r) for r in rows["optimized-b"])) -lines = [ - "# Exploratory A/B/A measurements", - "", - "Warm full-result latency in ms, including host distances and positive-cost predecessor DAG. " - "Seven measured samples plus two checked warmups per row. CPU batches use 10 reusable workers. " - "Best variant is selected after measurement; this is an oracle comparison, not an implemented dispatcher. " - "Old GPU columns cover the original pull and group variants; the shared-memory variant was not rerun. " - "The machine was not isolated; these are not accepted performance claims.", - "", - "| Case | N / E / Q | CPU full A1 / A2 | Old GPU A1 / A2 | Best tested optimized GPU | ms | CPU BFS full A1 / A2 |", - "|---|---:|---:|---:|---|---:|---:|", -] -summary = [] -for k in keys: - ca, cb, a, b, c = ( - table(p, k) for p in ("cpu-a1", "cpu-a2", "base-a1", "optimized-b", "base-a2") - ) - # Choose one old algorithm by its mean of A1/A2, then show both measurements. - old = min(a, key=lambda name: (elapsed(a[name]) + elapsed(c[name])) / 2) - best = min(b, key=lambda name: elapsed(b[name])) - best_label = best + ( - " (64-bit pull fallback)" if b[best]["fallback64"] == "1" else "" - ) - bfs = ( - f"{elapsed(ca['cpu_bfs_full']):.3f} / {elapsed(cb['cpu_bfs_full']):.3f}" - if "cpu_bfs_full" in ca - else "—" - ) - lines.append( - f"| {k[0]} | {' / '.join(k[1:])} | {elapsed(ca['cpu_full']):.3f} / {elapsed(cb['cpu_full']):.3f} | " - f"{elapsed(a[old]):.3f} / {elapsed(c[old]):.3f} | {best_label} | {elapsed(b[best]):.3f} | {bfs} |" - ) - summary.append( - { - "case": k, - "cpu_a1": elapsed(ca["cpu_full"]), - "cpu_a2": elapsed(cb["cpu_full"]), - "old_method": old, - "old_a1": elapsed(a[old]), - "old_a2": elapsed(c[old]), - "best": b[best], - } - ) - -lines += [ - "", - "## All optimized variants", - "", - "No variants omitted. Columns: full wall / distance wall / device work, ms. " - "Device work includes DAG kernels where selected. Edge visits count SSSP adjacency entries, " - "excluding bucket vertex scans, queue management and DAG extraction.", - "", -] -for k in keys: - lines += [ - f"### {k}", - "", - "| Variant | Full / distance / device ms | Edge visits | Rounds | Host waits | 64-bit fallback |", - "|---|---:|---:|---:|---:|---|", - ] - for r in table("optimized-b", k).values(): - times = " / ".join( - f"{float(r[f]):.3f}" for f in ("wall_ms", "distance_ms", "gpu_ms") - ) - lines.append( - f"| {r['method']} | {times} | {r['edge_visits']} | {r['rounds']} | {r['waits']} | {r['fallback64']} |" - ) - -checks = sum( - (int(r["samples"]) + 2) * int(r["queries"]) for rs in rows.values() for r in rs -) -audit = { - "phase_rows": {p: len(rs) for p, rs in rows.items()}, - "checked_query_results": checks, - "summary": summary, -} -(ROOT / "summary.md").write_text("\n".join(lines) + "\n") -(ROOT / "summary.json").write_text(json.dumps(audit, indent=2) + "\n") -print(json.dumps({k: v for k, v in audit.items() if k != "summary"}, indent=2)) diff --git a/dev/research/metal_pathfinding/optimization/summarize_cpu.py b/dev/research/metal_pathfinding/optimization/summarize_cpu.py deleted file mode 100644 index b815c3d..0000000 --- a/dev/research/metal_pathfinding/optimization/summarize_cpu.py +++ /dev/null @@ -1,54 +0,0 @@ -#!/usr/bin/env python3 -"""Stronger CPU algorithm comparison; no production-dispatch claim.""" - -import csv -import json -from pathlib import Path - -root = Path(__file__).resolve().parent / "results/cpu-algorithms-aba" -data = {p: list(csv.DictReader((root / f"{p}.csv").open())) for p in ("a1", "b", "a2")} -assert [len(v) for v in data.values()] == [14, 216, 14] -assert all(r["correct"] == "pass" for rs in data.values() for r in rs) - - -def key(row): - return tuple(row[k] for k in ("case", "n", "e", "queries")) - - -lines = [ - "# Stronger CPU algorithm A/B/A", - "", - "All methods include exact distances and canonical-equivalent positive-cost DAG edge sets. " - "CPU batches use 10 workers. Eligibility is cached outside timing for both devices. " - "Seven measured samples and two checked warmups. These remain exploratory, " - "non-isolated desktop measurements. GPU choice is an oracle across 12 tested variants.", - "", - "| Case / N / E / Q | Cached heap + DAG A1 / A2 ms | Dial + DAG A1 / A2 ms | Best GPU B ms | GPU method |", - "|---|---:|---:|---:|---|", -] -summary = [] -for k in dict.fromkeys(key(r) for r in data["a1"]): - phases = [ - {r["method"]: r for r in data[p] if key(r) == k} for p in ("a1", "b", "a2") - ] - a, b, c = phases - best = min(b.values(), key=lambda r: float(r["wall_ms"])) - heap = [float(p["cpu_heap_cached_full"]["wall_ms"]) for p in (a, c)] - dial = [float(p["cpu_dial_full"]["wall_ms"]) for p in (a, c)] - lines.append( - f"| {' / '.join(k)} | {heap[0]:.3f} / {heap[1]:.3f} | {dial[0]:.3f} / {dial[1]:.3f} | " - f"{float(best['wall_ms']):.3f} | {best['method']} |" - ) - summary.append( - {"case": k, "heap_a1_a2": heap, "dial_a1_a2": dial, "best_gpu": best} - ) -audit = { - "phase_rows": {p: len(v) for p, v in data.items()}, - "checked_query_results": sum( - (int(r["samples"]) + 2) * int(r["queries"]) for rs in data.values() for r in rs - ), - "summary": summary, -} -(root / "summary.md").write_text("\n".join(lines) + "\n") -(root / "summary.json").write_text(json.dumps(audit, indent=2) + "\n") -print("\n".join(lines)) diff --git a/dev/research/metal_pathfinding/results/aba-initial/a1-stderr.txt b/dev/research/metal_pathfinding/results/aba-initial/a1-stderr.txt deleted file mode 100644 index e69de29..0000000 diff --git a/dev/research/metal_pathfinding/results/aba-initial/a1.csv b/dev/research/metal_pathfinding/results/aba-initial/a1.csv deleted file mode 100644 index f250b80..0000000 --- a/dev/research/metal_pathfinding/results/aba-initial/a1.csv +++ /dev/null @@ -1,82 +0,0 @@ -case,n,e,queries,method,wall_ms,gpu_ms,distance_wall_ms,upload_ms,rounds,samples,correct,exact_order_queries,wall_samples_ms -random,128,1024,1,cpu_full,0.009625,0.000000,0.009625,0.000000,0,9,pass,1,0.009625;0.010542;0.010041;0.013500;0.010292;0.009458;0.009291;0.009250;0.009208 -random,128,1024,1,cpu_distance,0.004541,0.000000,0.004541,0.000000,0,9,pass,0,0.004583;0.005666;0.004417;0.004625;0.004250;0.006458;0.004541;0.004208;0.004167 -random,128,1024,1,cpu_pool10,0.029750,0.000000,0.029750,0.000000,0,9,pass,1,0.030792;0.043125;0.032708;0.027000;0.029750;0.026875;0.034250;0.027000;0.026625 -random,128,1024,64,cpu_full,0.955250,0.000000,0.955250,0.000000,0,9,pass,64,0.973292;0.945083;0.904875;0.882041;1.075791;0.956416;0.955250;0.977375;0.870959 -random,128,1024,64,cpu_distance,0.351959,0.000000,0.351959,0.000000,0,9,pass,0,0.401375;0.351959;0.340208;0.476250;0.456208;0.379709;0.338625;0.344334;0.308541 -random,128,1024,64,cpu_pool10,0.182417,0.000000,0.182417,0.000000,0,9,pass,64,0.182417;0.176833;0.174542;0.182917;0.191750;0.184291;0.197500;0.167458;0.162833 -random,1024,8192,1,cpu_full,0.103583,0.000000,0.103583,0.000000,0,9,pass,1,0.109833;0.110000;0.099291;0.105625;0.104000;0.102792;0.099458;0.102125;0.103583 -random,1024,8192,1,cpu_distance,0.055541,0.000000,0.055541,0.000000,0,9,pass,0,0.059083;0.051542;0.055333;0.055208;0.055541;0.055375;0.055625;0.055833;0.056209 -random,1024,8192,1,cpu_pool10,0.193125,0.000000,0.193125,0.000000,0,9,pass,1,0.200667;0.229666;0.191083;0.194792;0.193125;0.195459;0.165708;0.161917;0.173542 -random,1024,8192,64,cpu_full,10.685667,0.000000,10.685667,0.000000,0,9,pass,64,10.749791;10.777292;11.154708;10.834875;10.685667;10.563875;10.571209;10.589625;10.627750 -random,1024,8192,64,cpu_distance,5.053459,0.000000,5.053459,0.000000,0,9,pass,0,5.145083;5.053459;5.062084;4.993875;5.026833;5.019416;5.055542;4.969833;5.108583 -random,1024,8192,64,cpu_pool10,1.342375,0.000000,1.342375,0.000000,0,9,pass,64,1.372375;1.342916;1.342375;1.338708;1.318542;1.342916;1.354417;1.335167;1.315708 -fabric,288,16384,1,cpu_full,0.112333,0.000000,0.112333,0.000000,0,9,pass,1,0.115083;0.119833;0.110375;0.112667;0.112333;0.118125;0.109709;0.109792;0.109708 -fabric,288,16384,1,cpu_distance,0.023291,0.000000,0.023291,0.000000,0,9,pass,0,0.023709;0.023667;0.023291;0.023542;0.023291;0.023042;0.023208;0.023166;0.023166 -fabric,288,16384,1,cpu_pool10,0.137583,0.000000,0.137583,0.000000,0,9,pass,1,0.135875;0.135667;0.144417;0.132500;0.137583;0.156500;0.146000;0.136291;0.141125 -fabric,288,16384,64,cpu_full,7.318958,0.000000,7.318958,0.000000,0,9,pass,64,7.419667;7.295250;7.297250;7.489000;7.299334;7.340666;7.318958;7.284542;7.324916 -fabric,288,16384,64,cpu_distance,1.489125,0.000000,1.489125,0.000000,0,9,pass,0,1.489125;1.524542;1.487041;1.499584;1.499292;1.478625;1.510084;1.482750;1.483875 -fabric,288,16384,64,cpu_pool10,0.972167,0.000000,0.972167,0.000000,0,9,pass,64,1.685792;1.140875;0.951709;0.972167;0.977500;0.942208;0.959334;0.916959;0.985417 -grid,1024,3968,1,cpu_full,0.043667,0.000000,0.043667,0.000000,0,9,pass,1,0.045750;0.044542;0.043792;0.043459;0.043583;0.044042;0.043625;0.043541;0.043667 -grid,1024,3968,1,cpu_distance,0.011666,0.000000,0.011666,0.000000,0,9,pass,0,0.012583;0.012042;0.012041;0.011791;0.011666;0.011625;0.011500;0.011542;0.011542 -grid,1024,3968,1,cpu_pool10,0.077875,0.000000,0.077875,0.000000,0,9,pass,1,0.088542;0.068417;0.079375;0.062125;0.084667;0.065500;0.078959;0.077875;0.073916 -grid,1024,3968,64,cpu_full,4.005584,0.000000,4.005584,0.000000,0,9,pass,64,4.005584;3.977000;3.994834;3.970583;4.010875;3.966208;4.044791;4.030375;4.086625 -grid,1024,3968,64,cpu_distance,0.894833,0.000000,0.894833,0.000000,0,9,pass,0,0.925833;0.907000;0.899000;0.894833;0.883292;0.896833;0.878750;0.873041;0.874166 -grid,1024,3968,64,cpu_pool10,0.543500,0.000000,0.543500,0.000000,0,9,pass,64,0.584208;0.566875;0.534833;0.544125;0.531250;0.543500;0.529166;0.552875;0.524417 -chain,256,255,1,cpu_full,0.002542,0.000000,0.002542,0.000000,0,9,pass,1,0.002583;0.002542;0.002583;0.002542;0.003458;0.002667;0.002542;0.002500;0.002541 -chain,256,255,1,cpu_distance,0.000708,0.000000,0.000708,0.000000,0,9,pass,0,0.000708;0.000750;0.000708;0.000709;0.000708;0.000750;0.000708;0.000750;0.000708 -chain,256,255,1,cpu_pool10,0.033958,0.000000,0.033958,0.000000,0,9,pass,1,0.039125;0.039375;0.037292;0.036167;0.031041;0.033958;0.033625;0.027333;0.029000 -random_masked_int64_reverse,1024,8192,8,cpu_full,0.581833,0.000000,0.581833,0.000000,0,9,pass,8,0.692791;0.630583;0.611625;0.585000;0.571125;0.565667;0.559791;0.581833;0.555459 -random_masked_int64_reverse,1024,8192,8,cpu_distance,0.303917,0.000000,0.303917,0.000000,0,9,pass,0,0.377291;0.438458;0.395125;0.336584;0.303917;0.289917;0.274959;0.279542;0.270875 -random_masked_int64_reverse,1024,8192,8,cpu_pool10,0.155667,0.000000,0.155667,0.000000,0,9,pass,8,0.154292;0.167333;0.155667;0.155042;0.157458;0.156000;0.155875;0.147917;0.152875 -random,4096,32768,1,cpu_full,0.656542,0.000000,0.656542,0.000000,0,9,pass,1,0.689083;0.693500;0.656542;0.645666;0.662417;0.637500;0.638250;0.636042;0.790125 -random,4096,32768,1,cpu_distance,0.308542,0.000000,0.308542,0.000000,0,9,pass,0,0.338750;0.325250;0.317625;0.308542;0.304625;0.309916;0.303500;0.303042;0.303000 -random,4096,32768,1,cpu_pool10,0.814208,0.000000,0.814208,0.000000,0,9,pass,1,0.826042;0.869667;0.814208;0.765917;0.765084;0.855791;0.743833;0.829917;0.749625 -random,4096,32768,64,cpu_full,52.554875,0.000000,52.554875,0.000000,0,9,pass,64,52.386917;53.197958;52.959833;52.357667;52.261083;51.995125;59.360875;52.554875;52.678667 -random,4096,32768,64,cpu_distance,26.269750,0.000000,26.269750,0.000000,0,9,pass,0,25.927500;26.269750;26.294709;26.415583;26.370750;26.258458;26.318584;26.239250;26.028667 -random,4096,32768,64,cpu_pool10,5.992416,0.000000,5.992416,0.000000,0,9,pass,64,6.017250;6.053250;5.905542;5.941042;5.959459;5.969500;6.017750;6.285584;5.992416 -random,4096,32768,256,cpu_full,208.676542,0.000000,208.676542,0.000000,0,9,pass,256,208.676542;208.153584;208.156916;208.801833;208.602375;208.752792;208.467208;209.713875;210.652583 -random,4096,32768,256,cpu_distance,106.272833,0.000000,106.272833,0.000000,0,9,pass,0,107.689542;106.997833;106.701375;106.272833;105.206709;106.373917;105.998542;104.856041;104.854167 -random,4096,32768,256,cpu_pool10,23.000917,0.000000,23.000917,0.000000,0,9,pass,256,23.054250;23.179708;23.387250;23.000917;22.925084;23.250125;22.768375;22.927834;22.826625 -random,16384,131072,1,cpu_full,3.887250,0.000000,3.887250,0.000000,0,9,pass,1,3.887250;3.999084;3.780250;4.507709;3.907583;3.710875;3.958666;3.830917;3.877834 -random,16384,131072,1,cpu_distance,1.934458,0.000000,1.934458,0.000000,0,9,pass,0,1.934458;1.881542;1.868917;1.983458;2.134000;1.985167;1.920750;1.881125;1.985209 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-random,65536,524288,1,cpu_distance,11.794042,0.000000,11.794042,0.000000,0,9,pass,0,11.654459;12.429667;11.794042;11.909250;12.420542;12.983708;11.474417;10.956250;10.923417 -random,65536,524288,1,cpu_pool10,20.695417,0.000000,20.695417,0.000000,0,9,pass,1,20.689834;23.461167;20.695417;24.155625;22.147958;20.718083;20.171959;20.259875;19.568000 -random,65536,524288,64,cpu_full,1320.231250,0.000000,1320.231250,0.000000,0,9,pass,64,1342.003417;1308.543208;1329.705792;1330.231416;1315.563250;1302.226667;1320.231250;1351.369583;1294.068167 -random,65536,524288,64,cpu_distance,703.172916,0.000000,703.172916,0.000000,0,9,pass,0,696.462167;703.172916;729.499542;686.473125;723.540625;727.089417;694.442000;684.076291;730.469000 -random,65536,524288,64,cpu_pool10,190.623000,0.000000,190.623000,0.000000,0,9,pass,64,182.424666;192.549833;182.596875;191.734167;182.435666;193.379583;190.623000;178.277209;193.851375 -chain,2048,2047,1,cpu_full,0.019416,0.000000,0.019416,0.000000,0,9,pass,1,0.019625;0.019500;0.019458;0.019333;0.019375;0.019375;0.019542;0.019375;0.019416 -chain,2048,2047,1,cpu_distance,0.004792,0.000000,0.004792,0.000000,0,9,pass,0,0.004917;0.004750;0.004833;0.004792;0.004750;0.004792;0.004792;0.004708;0.004708 -chain,2048,2047,1,cpu_pool10,0.036834,0.000000,0.036834,0.000000,0,9,pass,1,0.036125;0.037875;0.036834;0.037875;0.037375;0.037583;0.035667;0.034875;0.035000 -random,4096,131072,1,cpu_full,1.679541,0.000000,1.679541,0.000000,0,9,pass,1,1.679541;1.643167;1.592084;1.694542;1.711875;1.677125;1.824875;1.698875;1.639500 -random,4096,131072,1,cpu_distance,0.691209,0.000000,0.691209,0.000000,0,9,pass,0,0.691209;0.674375;0.664250;0.662916;0.655750;0.889125;0.861542;0.732416;0.701209 -random,4096,131072,1,cpu_pool10,1.669292,0.000000,1.669292,0.000000,0,9,pass,1,1.698375;1.669292;1.648959;1.632208;1.717542;1.666333;1.649166;1.786166;1.750334 -random,4096,131072,64,cpu_full,111.530709,0.000000,111.530709,0.000000,0,9,pass,64,111.036208;111.092000;111.208375;111.335500;111.607834;111.530709;111.897333;123.337000;115.064042 -random,4096,131072,64,cpu_distance,49.874000,0.000000,49.874000,0.000000,0,9,pass,0,49.730958;49.667250;50.174584;49.874000;49.732041;49.854875;50.297125;51.777667;50.203834 -random,4096,131072,64,cpu_pool10,12.770500,0.000000,12.770500,0.000000,0,9,pass,64,12.853708;12.836916;12.777666;12.832250;12.754167;12.754208;12.725750;12.692792;12.770500 -clos,200,20000,1,cpu_full,0.144458,0.000000,0.144458,0.000000,0,9,pass,1,0.147125;0.149083;0.159583;0.143958;0.144000;0.144458;0.145500;0.143250;0.143833 -clos,200,20000,1,cpu_distance,0.029417,0.000000,0.029417,0.000000,0,9,pass,0,0.029500;0.029417;0.040209;0.026291;0.026250;0.027125;0.032500;0.032459;0.026417 -clos,200,20000,1,cpu_pool10,0.172209,0.000000,0.172209,0.000000,0,9,pass,1,0.177833;0.169000;0.184208;0.170542;0.170958;0.182333;0.172209;0.176916;0.169833 -clos,200,20000,64,cpu_full,9.344917,0.000000,9.344917,0.000000,0,9,pass,64,9.405083;9.327375;9.344917;9.256375;9.225166;9.460750;9.049167;9.419000;9.451500 -clos,200,20000,64,cpu_distance,1.703708,0.000000,1.703708,0.000000,0,9,pass,0,1.703708;1.771625;1.681083;1.686333;1.807333;1.656834;1.673250;1.711208;1.817500 -clos,200,20000,64,cpu_pool10,1.280458,0.000000,1.280458,0.000000,0,9,pass,64,1.468250;1.114291;1.538709;1.113000;1.129417;1.671500;1.280458;1.133958;1.785375 -clos,800,320000,1,cpu_full,2.456709,0.000000,2.456709,0.000000,0,9,pass,1,2.517875;2.386333;2.496791;2.554583;2.397208;2.427000;2.356875;2.456709;2.576250 -clos,800,320000,1,cpu_distance,0.394584,0.000000,0.394584,0.000000,0,9,pass,0,0.401958;0.389458;0.390875;0.397500;0.394584;0.393417;0.394917;0.397875;0.394500 -clos,800,320000,1,cpu_pool10,2.421333,0.000000,2.421333,0.000000,0,9,pass,1,2.361458;2.418500;2.669208;2.568208;2.395041;2.423167;2.493458;2.421333;2.412875 -clos,800,320000,64,cpu_full,150.211750,0.000000,150.211750,0.000000,0,9,pass,64,150.774000;149.614458;151.205917;149.062583;154.468125;149.091542;150.351875;149.293875;150.211750 -clos,800,320000,64,cpu_distance,25.404750,0.000000,25.404750,0.000000,0,9,pass,0,25.297542;25.404750;25.432334;25.347625;25.474333;25.363375;25.391333;25.542125;25.405834 -clos,800,320000,64,cpu_pool10,17.443042,0.000000,17.443042,0.000000,0,9,pass,64,17.723500;17.432708;18.498708;17.201500;17.314417;18.956917;17.443042;17.232667;18.136750 -grid,10000,39600,1,cpu_full,0.617416,0.000000,0.617416,0.000000,0,9,pass,1,0.637833;0.636542;0.617875;0.618792;0.617416;0.616791;0.612584;0.616750;0.611334 -grid,10000,39600,1,cpu_distance,0.179916,0.000000,0.179916,0.000000,0,9,pass,0,0.182250;0.179167;0.179000;0.179916;0.188250;0.185375;0.177833;0.179375;0.179958 -grid,10000,39600,1,cpu_pool10,0.686959,0.000000,0.686959,0.000000,0,9,pass,1,0.734417;0.711292;0.691458;0.686959;0.706042;0.685584;0.680833;0.677750;0.675167 -grid,10000,39600,8,cpu_full,5.587958,0.000000,5.587958,0.000000,0,9,pass,8,5.609542;5.540458;5.564500;5.599791;5.587958;5.604417;5.595583;5.556542;5.536167 -grid,10000,39600,8,cpu_distance,1.579834,0.000000,1.579834,0.000000,0,9,pass,0,1.598125;1.579834;1.561709;1.566750;1.563667;1.595083;1.588584;1.592917;1.559584 -grid,10000,39600,8,cpu_pool10,0.874125,0.000000,0.874125,0.000000,0,9,pass,8,1.307167;0.874125;0.840250;1.379708;0.871708;1.267542;0.834500;0.831583;1.212583 -grid,40000,159200,1,cpu_full,2.918042,0.000000,2.918042,0.000000,0,9,pass,1,2.908458;2.902584;2.863542;2.918042;2.936250;2.902583;2.953000;3.064666;3.009292 -grid,40000,159200,1,cpu_distance,0.900709,0.000000,0.900709,0.000000,0,9,pass,0,0.889459;0.930333;0.906083;0.909250;0.916958;0.887542;0.876750;0.878583;0.900709 -grid,40000,159200,1,cpu_pool10,3.041500,0.000000,3.041500,0.000000,0,9,pass,1,3.047042;3.043250;3.013167;3.027833;3.012417;3.099708;3.140125;3.041500;3.038209 diff --git a/dev/research/metal_pathfinding/results/aba-initial/b-stderr.txt b/dev/research/metal_pathfinding/results/aba-initial/b-stderr.txt deleted file mode 100644 index ac7eefb..0000000 --- a/dev/research/metal_pathfinding/results/aba-initial/b-stderr.txt +++ /dev/null @@ -1 +0,0 @@ -device=Apple M4 Max setup_ms=29.7193 execution_width=32 diff --git a/dev/research/metal_pathfinding/results/aba-initial/b.csv b/dev/research/metal_pathfinding/results/aba-initial/b.csv deleted file mode 100644 index 3f62dd7..0000000 --- a/dev/research/metal_pathfinding/results/aba-initial/b.csv +++ /dev/null @@ -1,69 +0,0 @@ -case,n,e,queries,method,wall_ms,gpu_ms,distance_wall_ms,upload_ms,rounds,samples,correct,exact_order_queries,wall_samples_ms -random,128,1024,1,metal_pull,0.694333,0.305875,0.688416,0.040542,16,9,pass,0,0.824625;0.880667;0.672541;0.714917;0.599375;0.591625;0.694333;0.808792;0.585333 -random,128,1024,1,metal_group,0.272125,0.130750,0.267833,0.040542,9,9,pass,0,0.753375;0.279375;0.267000;0.271958;0.271667;0.272125;0.500250;0.279209;0.263250 -random,128,1024,1,metal_shared,0.264750,0.123500,0.259625,0.040542,9,9,pass,0,0.267167;0.253583;0.264750;0.258417;0.246916;0.258500;0.287166;0.325875;0.362208 -random,128,1024,64,metal_pull,0.898834,0.346917,0.615667,0.060333,16,9,pass,0,1.087958;0.891333;0.974625;0.898834;0.940333;0.880416;0.842291;0.879875;0.907375 -random,128,1024,64,metal_group,0.597708,0.179375,0.323167,0.060333,13,9,pass,0,0.614250;0.678208;0.597708;0.597000;0.625875;0.600250;0.578042;0.571208;0.577208 -random,128,1024,64,metal_shared,0.598917,0.168542,0.314542,0.060333,13,9,pass,0,0.610708;0.607666;0.602542;0.608167;0.598917;0.583041;0.574083;0.558667;0.559542 -random,1024,8192,1,metal_pull,0.751708,0.398583,0.708791,0.082709,16,9,pass,0,0.788250;0.716333;0.715667;0.831709;0.762541;0.751708;0.716250;1.371375;0.701542 -random,1024,8192,1,metal_group,0.857958,0.678792,0.820333,0.082709,13,9,pass,0,0.861750;0.857458;0.853125;0.854958;0.857958;0.869708;0.900250;0.862750;0.851250 -random,1024,8192,1,metal_shared,0.822459,0.639208,0.780792,0.082709,13,9,pass,0,0.916292;0.802667;0.815750;0.840333;0.820834;0.838583;0.819125;0.822459;0.845916 -random,1024,8192,64,metal_pull,4.666000,1.543917,2.176875,0.114500,24,9,pass,0,4.584042;4.518958;5.016250;5.419500;4.748625;4.529042;4.565292;4.666000;4.892125 -random,1024,8192,64,metal_group,3.842875,0.893625,1.354458,0.114500,17,9,pass,0,3.842875;3.535417;3.878875;3.977333;3.835958;3.829125;3.878708;3.709792;3.910750 -random,1024,8192,64,metal_shared,3.773791,0.828458,1.284917,0.114500,17,9,pass,0,3.734166;3.713583;3.813542;3.809833;3.755083;3.695125;3.798167;3.937292;3.773791 -fabric,288,16384,1,metal_pull,1.859625,1.648625,1.806375,0.116000,8,9,pass,0,1.839917;1.864375;1.995041;1.859625;1.868375;1.937417;1.834584;1.844208;1.766292 -fabric,288,16384,1,metal_group,0.776375,0.576500,0.716917,0.116000,3,9,pass,0,0.786958;0.764250;0.845375;0.818083;0.774375;0.777167;0.776375;0.510167;0.555875 -fabric,288,16384,1,metal_shared,0.733292,0.546875,0.674250,0.116000,3,9,pass,0,0.730417;0.733292;0.786042;0.810708;0.739416;0.695333;0.488541;0.478875;0.892958 -fabric,288,16384,64,metal_pull,5.846791,1.800375,2.335667,0.145292,8,9,pass,0,5.086083;5.870000;5.846791;5.543417;5.846542;6.396292;5.965208;5.897375;5.826000 -fabric,288,16384,64,metal_group,4.629250,0.644375,1.190291,0.145292,3,9,pass,0,4.395458;4.694042;4.700083;4.629250;4.676292;4.376625;4.693042;4.293042;4.586375 -fabric,288,16384,64,metal_shared,4.801458,0.622000,1.157084,0.145292,3,9,pass,0,4.661208;4.952084;4.857542;4.645917;4.805500;4.682250;4.801458;6.446500;4.696791 -grid,1024,3968,1,metal_pull,1.846125,0.651292,1.827084,0.065416,64,9,pass,0,2.019292;1.846125;2.021708;1.716792;1.929959;1.710000;1.883416;1.696250;1.706834 -grid,1024,3968,1,metal_group,1.176292,1.008250,1.158542,0.065416,63,9,pass,0,1.164791;1.182625;1.161584;1.162708;1.213208;1.260084;1.171792;1.179334;1.176292 -grid,1024,3968,1,metal_shared,0.487541,0.348875,0.471292,0.065416,63,9,pass,0,0.505459;0.487541;0.486458;0.504208;0.512792;0.488416;0.461667;0.456291;0.466333 -grid,1024,3968,64,metal_pull,3.045875,0.567583,2.132125,0.080500,64,9,pass,0,2.971500;2.829791;3.048500;2.852875;3.045875;2.905750;3.125083;3.216166;3.372708 -grid,1024,3968,64,metal_group,1.864042,0.405958,0.949125,0.080500,63,9,pass,0,1.852166;1.796541;1.882167;1.836917;1.864042;1.955917;1.558459;1.924375;1.948792 -grid,1024,3968,64,metal_shared,1.958083,0.487208,1.013500,0.080500,63,9,pass,0,1.963458;1.958083;1.495541;2.055667;1.936667;1.975791;1.935166;1.944042;2.318917 -chain,256,255,1,metal_pull,5.824792,1.927375,5.822250,0.052833,256,9,pass,1,6.102125;5.943208;6.338167;5.852500;5.273083;5.824792;5.505208;5.067875;5.153459 -chain,256,255,1,metal_group,0.714667,0.608625,0.713083,0.052833,256,9,pass,1,0.711209;0.720959;0.709417;0.711916;0.716583;0.714667;0.708125;0.717959;0.815000 -chain,256,255,1,metal_shared,0.658709,0.552125,0.657209,0.052833,256,9,pass,1,0.658709;0.654916;0.653791;0.739209;0.801459;0.673667;0.663959;0.653000;0.649500 -random_masked_int64_reverse,1024,8192,8,metal_pull,0.682125,0.133708,0.245708,0.085083,8,9,pass,1,0.740958;0.668292;0.736208;0.661167;0.692542;0.682125;0.667625;0.685750;0.660917 -random_masked_int64_reverse,1024,8192,8,metal_group,0.749041,0.241083,0.338250,0.085083,8,9,pass,1,0.767500;0.754917;0.756750;0.745125;0.749041;0.626875;0.746833;0.751167;0.732333 -random_masked_int64_reverse,1024,8192,8,metal_shared,0.741709,0.224625,0.328917,0.085083,8,9,pass,1,0.723625;0.720375;0.715209;0.741709;0.728000;0.803041;0.774625;0.753041;0.768542 -random,4096,32768,1,metal_pull,0.812833,0.413625,0.660625,0.196375,16,9,pass,0,0.801458;0.806833;0.811333;0.814834;0.816083;0.812833;0.793167;0.860833;0.816417 -random,4096,32768,1,metal_group,1.505875,1.226583,1.358042,0.196375,16,9,pass,0,2.224875;1.505875;1.510208;1.338542;1.329209;1.352791;1.476209;1.584875;1.555541 -random,4096,32768,64,metal_pull,14.598084,3.937250,4.753209,0.208583,24,9,pass,0,14.252500;14.598084;15.751167;17.473250;14.592417;13.591042;17.424500;14.417500;18.520500 -random,4096,32768,64,metal_group,14.066250,4.080833,4.463417,0.208583,19,9,pass,0,14.129583;14.038459;11.394417;14.478125;14.066250;13.967625;14.229542;14.124334;11.212583 -random,4096,32768,256,metal_pull,52.239208,11.306291,13.131667,0.215541,24,9,pass,0,49.794333;49.768167;52.239208;51.144625;52.841292;51.508875;53.434292;53.943542;53.808208 -random,4096,32768,256,metal_group,49.850250,9.712792,10.485541,0.215541,20,9,pass,0,47.301833;48.041792;48.523375;51.754625;52.943792;51.925625;49.809875;49.850250;51.073500 -random,16384,131072,1,metal_pull,1.386041,0.270917,0.696084,0.583583,24,9,pass,0,1.349833;1.344791;1.398750;1.883167;1.773000;1.312167;1.368083;1.459333;1.386041 -random,16384,131072,1,metal_group,5.660333,4.802667,4.988333,0.583583,18,9,pass,0,5.774875;5.682834;5.790833;5.646959;5.583334;5.649250;5.620167;5.790166;5.660333 -random,16384,131072,64,metal_pull,57.259666,11.632292,12.902417,0.623375,24,9,pass,0,57.422542;57.092416;57.618708;57.291917;57.259666;56.624625;56.584416;57.963625;56.911000 -random,16384,131072,64,metal_group,54.493208,9.480500,10.270834,0.623375,22,9,pass,0,53.254667;53.490625;54.070542;54.493208;56.920459;56.394708;54.439875;54.946792;55.627125 -random,65536,524288,1,metal_pull,5.859042,1.942875,2.819833,2.711292,24,9,pass,0,5.889208;5.976292;6.990375;6.082208;5.859042;4.821625;4.951208;4.638042;4.792333 -random,65536,524288,1,metal_group,32.303250,28.469375,29.047916,2.711292,22,9,pass,0,31.766250;31.845500;31.635042;31.586375;32.434666;32.359458;32.305917;32.303250;32.318417 -random,65536,524288,64,metal_pull,269.299583,69.087833,71.201500,2.622333,32,9,pass,0,268.115458;271.970875;269.941292;268.528541;269.299583;269.076750;268.627791;269.599125;272.598000 -random,65536,524288,64,metal_group,274.914833,75.469958,76.650542,2.622333,25,9,pass,0,273.356208;272.365000;274.351291;274.330250;274.914833;277.346917;277.881250;276.976584;276.145209 -chain,2048,2047,1,metal_pull,29.862084,4.310752,29.851875,0.070834,2048,9,pass,1,29.859000;28.595000;29.774000;29.862084;30.292084;29.960708;30.157125;29.597333;30.245000 -chain,2048,2047,1,metal_group,4.815750,4.698792,4.806500,0.070834,2048,9,pass,1,4.798125;4.865583;4.803041;4.799208;4.910500;4.826875;4.881500;4.815625;4.815750 -random,4096,131072,1,metal_pull,0.896667,0.267792,0.483708,0.588333,16,9,pass,0,0.875625;0.890458;0.899750;0.896667;0.916875;0.904833;0.877958;0.906667;0.853708 -random,4096,131072,1,metal_group,2.694958,2.174167,2.280334,0.588333,12,9,pass,0,2.671709;2.646250;2.697916;2.805750;2.669416;2.684459;2.925000;2.738292;2.694958 -random,4096,131072,64,metal_pull,37.135333,8.692458,9.196958,0.675541,16,9,pass,0,35.238334;36.093709;35.691375;35.662584;37.135333;39.312250;39.152625;38.276667;38.420625 -random,4096,131072,64,metal_group,36.557458,7.510292,7.880583,0.675541,15,9,pass,0,34.011792;34.412958;38.154083;41.139291;34.516083;35.256750;36.557458;37.278875;36.584917 -clos,200,20000,1,metal_pull,0.669667,0.443375,0.599625,0.127375,8,9,pass,0,0.991167;0.672042;0.669667;0.674875;0.879750;0.652208;0.656792;0.666916;0.640167 -clos,200,20000,1,metal_group,0.366875,0.151917,0.297084,0.127375,3,9,pass,0,0.366875;0.384750;0.342125;0.357500;0.366042;0.383125;0.485541;0.479500;0.342416 -clos,200,20000,1,metal_shared,0.352542,0.142750,0.281125,0.127375,3,9,pass,0,0.407584;0.346917;0.357959;0.352542;0.342917;0.347167;0.347292;0.403458;0.358833 -clos,200,20000,64,metal_pull,5.845584,1.017542,1.578750,0.162000,8,9,pass,0,5.916459;5.769833;5.835500;5.656750;5.845959;5.728583;6.488792;5.845584;5.853792 -clos,200,20000,64,metal_group,5.049667,0.309625,0.890291,0.162000,3,9,pass,0,5.133958;4.883875;5.132000;5.048208;5.071291;5.049667;5.043708;5.150125;4.778417 -clos,200,20000,64,metal_shared,5.062500,0.293833,0.850083,0.162000,3,9,pass,0,5.062500;5.012500;4.969167;4.868250;5.078416;5.152583;5.033167;5.128291;5.161792 -clos,800,320000,1,metal_pull,4.467084,3.168541,3.390333,1.307417,8,9,pass,0,4.739125;4.467084;4.451583;4.742625;4.750208;4.833000;2.988708;1.954417;2.435167 -clos,800,320000,1,metal_group,2.647917,0.946375,1.618458,1.307417,3,9,pass,0,2.143583;5.294334;3.724166;2.616750;2.647917;5.521750;4.269459;2.507334;2.601250 -clos,800,320000,1,metal_shared,2.639667,0.905000,1.565042,1.307417,3,9,pass,0,2.636542;2.500625;2.630250;2.660500;4.998333;5.397416;4.654375;2.564250;2.639667 -clos,800,320000,64,metal_pull,84.884084,16.348833,16.846000,1.254500,8,9,pass,0,84.918625;83.551292;84.269958;83.793166;85.337916;88.659791;83.283542;88.303542;84.884084 -clos,800,320000,64,metal_group,73.596917,5.233958,5.823625,1.254500,3,9,pass,0,73.978875;73.856000;73.987333;73.942958;73.596917;73.378708;73.150542;73.522083;72.589416 -clos,800,320000,64,metal_shared,73.488333,5.098667,5.715750,1.254500,3,9,pass,0,73.912000;73.938666;72.677167;73.085209;72.850625;75.111209;74.153959;72.633250;73.488333 -grid,10000,39600,1,metal_pull,4.066792,0.588250,3.935042,0.170583,200,9,pass,0,5.971916;4.407667;3.591625;4.066792;4.094125;3.673125;3.720167;4.068667;3.871167 -grid,10000,39600,1,metal_group,7.897958,7.570500,7.738625,0.170583,199,9,pass,0,7.841042;7.899084;7.943167;7.855458;7.873667;7.914667;7.897958;7.891959;8.008416 -grid,10000,39600,8,metal_pull,6.015875,1.397917,5.012500,0.167167,200,9,pass,0,6.379375;5.981750;6.565208;5.743083;6.015875;5.603667;6.220792;5.636583;6.580167 -grid,10000,39600,8,metal_group,9.084958,7.487958,8.109417,0.167167,199,9,pass,0,8.986459;9.386500;9.080083;9.138000;9.178042;9.223667;8.955833;9.082250;9.084958 -grid,40000,159200,1,metal_pull,8.366125,1.756501,7.870792,0.498500,400,9,pass,0,8.677875;9.271667;8.710083;8.543291;8.366125;7.339959;7.248500;7.223375;7.600666 -grid,40000,159200,1,metal_group,65.593041,64.849167,65.113958,0.498500,399,9,pass,0,65.552584;65.564333;65.593041;65.452333;66.461167;66.104959;65.226667;65.833166;65.986167 diff --git a/dev/research/metal_pathfinding/results/aba-initial/environment.txt b/dev/research/metal_pathfinding/results/aba-initial/environment.txt deleted file mode 100644 index a449a5e..0000000 --- a/dev/research/metal_pathfinding/results/aba-initial/environment.txt +++ /dev/null @@ -1,17 +0,0 @@ -2026-09-26T23:02:54Z -fbab119e794c843838f4f3f96d75cb7f32f06845 -ProductName: macOS -ProductVersion: 26.6.1 -BuildVersion: 25G76 -Apple M4 Max -38654705664 -14 -Apple clang version 21.0.0 (clang-2100.1.1.101) -Target: arm64-apple-darwin25.6.0 -Thread model: posix -InstalledDir: /Library/Developer/CommandLineTools/usr/bin -0ea7d865d0d979f1ed79612cff1270bbf2d45425a7548cf7c7fa9595f5f1463b dev/research/metal_pathfinding/experiment.mm -2e36b1623a3940bf1f19f5d81141bb1def14f5873fe2a98aab0101bbe68618a3 dev/research/metal_pathfinding/sssp.metal -Note: No thermal warning level has been recorded -Note: No performance warning level has been recorded -Note: No CPU power status has been recorded diff --git a/dev/research/metal_pathfinding/results/aba-initial/gpu-load-a1.txt b/dev/research/metal_pathfinding/results/aba-initial/gpu-load-a1.txt deleted file mode 100644 index 2a9fdd8..0000000 --- a/dev/research/metal_pathfinding/results/aba-initial/gpu-load-a1.txt +++ /dev/null @@ -1 +0,0 @@ - | "PerformanceStatistics" = {"In use system memory (driver)"=0,"Alloc system memory"=10844422144,"Tiler Utilization %"=5,"recoveryCount"=0,"lastRecoveryTime"=0,"Renderer Utilization %"=8,"TiledSceneBytes"=1441792,"Device Utilization %"=23,"SplitSceneCount"=0,"Allocated PB Size"=187301888,"In use system memory"=1340784640} diff --git a/dev/research/metal_pathfinding/results/aba-initial/gpu-load-a2.txt b/dev/research/metal_pathfinding/results/aba-initial/gpu-load-a2.txt deleted file mode 100644 index fb2f6fe..0000000 --- a/dev/research/metal_pathfinding/results/aba-initial/gpu-load-a2.txt +++ /dev/null @@ -1 +0,0 @@ - | "PerformanceStatistics" = {"In use system memory (driver)"=0,"Alloc system memory"=10848157696,"Tiler Utilization %"=2,"recoveryCount"=0,"lastRecoveryTime"=0,"Renderer Utilization %"=5,"TiledSceneBytes"=1441792,"Device Utilization %"=75,"SplitSceneCount"=0,"Allocated PB Size"=187301888,"In use system memory"=1341440000} diff --git a/dev/research/metal_pathfinding/results/aba-initial/gpu-load-b.txt b/dev/research/metal_pathfinding/results/aba-initial/gpu-load-b.txt deleted file mode 100644 index 67b7835..0000000 --- a/dev/research/metal_pathfinding/results/aba-initial/gpu-load-b.txt +++ /dev/null @@ -1 +0,0 @@ - | "PerformanceStatistics" = {"In use system memory (driver)"=0,"Alloc system memory"=10846322688,"Tiler Utilization %"=6,"recoveryCount"=0,"lastRecoveryTime"=0,"Renderer Utilization %"=10,"TiledSceneBytes"=1441792,"Device Utilization %"=10,"SplitSceneCount"=0,"Allocated PB Size"=187301888,"In use system memory"=1391755264} diff --git a/dev/research/metal_pathfinding/results/aba-initial/load-a1.txt b/dev/research/metal_pathfinding/results/aba-initial/load-a1.txt deleted file mode 100644 index afe6af8..0000000 --- a/dev/research/metal_pathfinding/results/aba-initial/load-a1.txt +++ /dev/null @@ -1,40 +0,0 @@ -Processes: 1029 total, 3 running, 1026 sleeping, 5267 threads -2026/09/27 00:02:55 -Load Avg: 3.44, 4.22, 4.55 -CPU usage: 12.78% user, 9.58% sys, 77.62% idle -SharedLibs: 914M resident, 168M data, 135M linkedit. -MemRegions: 640562 total, 10G resident, 741M private, 4397M shared. -PhysMem: 34G used (3993M wired, 633M compressor), 1623M unused. -VM: 455T vsize, 6144M framework vsize, 2843901(0) swapins, 4729331(0) swapouts. -Networks: packets: 190112204/161G in, 145523736/163G out. -Disks: 97543153/2475G read, 117275070/2097G written. - -PID COMMAND %CPU #TH -99753 mscamerad-xpc 0.0 2 -99752 PlugInLibrarySer 0.0 2 -99750 QuickLookUIServi 0.0 3 -99749 com.apple.appkit 0.0 3 -99710 PlugInLibrarySer 0.0 2 -99709 Preview 0.0 4 -99428 crashpad_handler 0.0 4 -98995 crashpad_handler 0.0 4 -Processes: 1030 total, 4 running, 1026 sleeping, 5290 threads -2026/09/27 00:02:56 -Load Avg: 3.56, 4.24, 4.55 -CPU usage: 16.1% user, 6.20% sys, 77.77% idle -SharedLibs: 914M resident, 168M data, 135M linkedit. -MemRegions: 1440 total, 222M resident, 741M private, 4390M shared. -PhysMem: 34G used (3993M wired, 633M compressor), 1565M unused. -VM: 455T vsize, 6144M framework vsize, 2843901(0) swapins, 4729331(0) swapouts. -Networks: packets: 190112459/161G in, 145523987/163G out. -Disks: 97543153/2475G read, 117275092/2097G written. - -PID COMMAND %CPU #TH -1225 mediaanalysisd 33.3 18/2 -590 WindowServer 30.9 28 -70968 Superset Helper 20.4 32 -0 kernel_task 13.0 850/14 -70942 Superset Helper 7.2 19 -59318 top 5.9 1/1 -65401 codex 3.4 38 -70934 Superset 3.1 50 diff --git a/dev/research/metal_pathfinding/results/aba-initial/load-a2.txt b/dev/research/metal_pathfinding/results/aba-initial/load-a2.txt deleted file mode 100644 index 7d011ae..0000000 --- a/dev/research/metal_pathfinding/results/aba-initial/load-a2.txt +++ /dev/null @@ -1,40 +0,0 @@ -Processes: 1029 total, 3 running, 1026 sleeping, 5318 threads -2026/09/27 00:04:25 -Load Avg: 4.06, 4.30, 4.55 -CPU usage: 11.52% user, 15.65% sys, 72.82% idle -SharedLibs: 914M resident, 168M data, 135M linkedit. -MemRegions: 638423 total, 10G resident, 742M private, 4205M shared. -PhysMem: 33G used (4028M wired, 633M compressor), 1920M unused. -VM: 455T vsize, 6144M framework vsize, 2843901(0) swapins, 4729331(0) swapouts. -Networks: packets: 190145627/161G in, 145557848/163G out. -Disks: 97548223/2475G read, 117280135/2097G written. - -PID COMMAND %CPU #TH -99753 mscamerad-xpc 0.0 2 -99752 PlugInLibrarySer 0.0 2 -99750 QuickLookUIServi 0.0 3 -99749 com.apple.appkit 0.0 3 -99710 PlugInLibrarySer 0.0 2 -99709 Preview 0.0 4 -99428 crashpad_handler 0.0 4 -98995 crashpad_handler 0.0 4 -Processes: 1029 total, 2 running, 1027 sleeping, 5313 threads -2026/09/27 00:04:27 -Load Avg: 4.70, 4.43, 4.59 -CPU usage: 7.48% user, 5.9% sys, 87.41% idle -SharedLibs: 914M resident, 168M data, 135M linkedit. -MemRegions: 0 total, 0B resident, 742M private, 4205M shared. -PhysMem: 33G used (3992M wired, 633M compressor), 1918M unused. -VM: 455T vsize, 6144M framework vsize, 2843901(0) swapins, 4729331(0) swapouts. -Networks: packets: 190145997/161G in, 145558207/163G out. -Disks: 97548250/2475G read, 117280139/2097G written. - -PID COMMAND %CPU #TH -590 WindowServer 36.6 28 -70968 Superset Helper 23.2 33 -594 runningboardd 21.0 7 -0 kernel_task 15.7 850/14 -66135 top 8.9 1/1 -70942 Superset Helper 7.7 18 -21666 2.1.283 6.3 27 -39196 PerfPowerService 5.7 13 diff --git a/dev/research/metal_pathfinding/results/aba-initial/load-b.txt b/dev/research/metal_pathfinding/results/aba-initial/load-b.txt deleted file mode 100644 index a06f45c..0000000 --- a/dev/research/metal_pathfinding/results/aba-initial/load-b.txt +++ /dev/null @@ -1,40 +0,0 @@ -Processes: 1038 total, 4 running, 1034 sleeping, 5297 threads -2026/09/27 00:03:54 -Load Avg: 4.38, 4.36, 4.57 -CPU usage: 6.7% user, 9.19% sys, 84.73% idle -SharedLibs: 914M resident, 168M data, 135M linkedit. -MemRegions: 638679 total, 10G resident, 752M private, 4206M shared. -PhysMem: 33G used (3994M wired, 633M compressor), 1786M unused. -VM: 458T vsize, 6144M framework vsize, 2843901(0) swapins, 4729331(0) swapouts. -Networks: packets: 190133303/161G in, 145544526/163G out. -Disks: 97547513/2475G read, 117278580/2097G written. - -PID COMMAND %CPU #TH -99753 mscamerad-xpc 0.0 2 -99752 PlugInLibrarySer 0.0 2 -99750 QuickLookUIServi 0.0 3 -99749 com.apple.appkit 0.0 3 -99710 PlugInLibrarySer 0.0 2 -99709 Preview 0.0 4 -99428 crashpad_handler 0.0 4 -98995 crashpad_handler 0.0 4 -Processes: 1044 total, 4 running, 1040 sleeping, 5315 threads -2026/09/27 00:03:55 -Load Avg: 4.38, 4.36, 4.57 -CPU usage: 15.9% user, 8.23% sys, 76.66% idle -SharedLibs: 914M resident, 168M data, 135M linkedit. -MemRegions: 1073 total, 191M resident, 752M private, 4208M shared. -PhysMem: 34G used (4060M wired, 633M compressor), 1564M unused. -VM: 461T vsize, 6144M framework vsize, 2843901(0) swapins, 4729331(0) swapouts. -Networks: packets: 190134081/161G in, 145545447/163G out. -Disks: 97547534/2475G read, 117278594/2097G written. - -PID COMMAND %CPU #TH -590 WindowServer 29.1 28 -70968 Superset Helper 24.8 32/1 -1225 mediaanalysisd 24.0 18 -0 kernel_task 14.2 850/14 -517 fseventsd 10.7 16 -81804 2.1.283 9.4 27 -70942 Superset Helper 8.5 18 -63750 top 6.4 1/1 diff --git a/dev/research/metal_pathfinding/results/aba-initial/summary.md b/dev/research/metal_pathfinding/results/aba-initial/summary.md deleted file mode 100644 index 09724ff..0000000 --- a/dev/research/metal_pathfinding/results/aba-initial/summary.md +++ /dev/null @@ -1,38 +0,0 @@ -All times are medians in milliseconds per batch, with nine timed samples. -CPU A columns use serial SPF for Q=1 and the 10-worker pool otherwise. -GPU includes host distance copies and serial CPU ECMP DAG reconstruction. -Upload and pipeline setup are excluded and recorded separately in raw data. -The table picks the fastest measured GPU method for each case. - -| Case | V / E | Q | CPU A1 | GPU B | CPU A2 | GPU method | Distance-only B | CPU drift | -|---|---:|---:|---:|---:|---:|---|---:|---:| -| random | 128 / 1,024 | 1 | 0.010 | 0.265 | 0.011 | metal_shared | 0.260 | +12.6% | -| random | 128 / 1,024 | 64 | 0.182 | 0.598 | 0.157 | metal_group | 0.323 | -14.1% | -| random | 1,024 / 8,192 | 1 | 0.104 | 0.752 | 0.109 | metal_pull | 0.709 | +5.1% | -| random | 1,024 / 8,192 | 64 | 1.342 | 3.774 | 1.277 | metal_shared | 1.285 | -4.9% | -| fabric | 288 / 16,384 | 1 | 0.112 | 0.733 | 0.110 | metal_shared | 0.674 | -2.5% | -| fabric | 288 / 16,384 | 64 | 0.972 | 4.629 | 0.995 | metal_group | 1.190 | +2.3% | -| grid | 1,024 / 3,968 | 1 | 0.044 | 0.488 | 0.043 | metal_shared | 0.471 | -2.2% | -| grid | 1,024 / 3,968 | 64 | 0.543 | 1.864 | 0.546 | metal_group | 0.949 | +0.5% | -| chain | 256 / 255 | 1 | 0.003 | 0.659 | 0.003 | metal_shared | 0.657 | -0.0% | -| random_masked_int64_reverse | 1,024 / 8,192 | 8 | 0.156 | 0.682 | 0.203 | metal_pull | 0.246 | +30.6% | -| random | 4,096 / 32,768 | 1 | 0.657 | 0.813 | 0.713 | metal_pull | 0.661 | +8.6% | -| random | 4,096 / 32,768 | 64 | 5.992 | 14.066 | 5.860 | metal_group | 4.463 | -2.2% | -| random | 4,096 / 32,768 | 256 | 23.001 | 49.850 | 22.651 | metal_group | 10.486 | -1.5% | -| random | 16,384 / 131,072 | 1 | 3.887 | 1.386 | 3.929 | metal_pull | 0.696 | +1.1% | -| random | 16,384 / 131,072 | 64 | 28.586 | 54.493 | 28.359 | metal_group | 10.271 | -0.8% | -| random | 65,536 / 524,288 | 1 | 22.864 | 5.859 | 22.647 | metal_pull | 2.820 | -0.9% | -| random | 65,536 / 524,288 | 64 | 181.874 | 269.300 | 190.623 | metal_pull | 71.201 | +4.8% | -| chain | 2,048 / 2,047 | 1 | 0.020 | 4.816 | 0.019 | metal_group | 4.806 | -1.3% | -| random | 4,096 / 131,072 | 1 | 1.540 | 0.897 | 1.680 | metal_pull | 0.484 | +9.1% | -| random | 4,096 / 131,072 | 64 | 12.857 | 36.557 | 12.771 | metal_group | 7.881 | -0.7% | -| clos | 200 / 20,000 | 1 | 0.139 | 0.353 | 0.144 | metal_shared | 0.281 | +4.1% | -| clos | 200 / 20,000 | 64 | 1.167 | 5.050 | 1.280 | metal_group | 0.890 | +9.7% | -| clos | 800 / 320,000 | 1 | 2.314 | 2.640 | 2.457 | metal_shared | 1.565 | +6.2% | -| clos | 800 / 320,000 | 64 | 17.328 | 73.488 | 17.443 | metal_shared | 5.716 | +0.7% | -| grid | 10,000 / 39,600 | 1 | 0.631 | 4.067 | 0.617 | metal_pull | 3.935 | -2.2% | -| grid | 10,000 / 39,600 | 8 | 0.852 | 6.016 | 0.874 | metal_pull | 5.013 | +2.6% | -| grid | 40,000 / 159,200 | 1 | 2.919 | 8.366 | 2.918 | metal_pull | 7.871 | -0.0% | - -Distance-only timings stop before DAG reconstruction; they are not SPF API timings. -CPU distance-only and serial full-batch controls are also available in a1/a2.csv. diff --git a/dev/research/metal_pathfinding/results/aba/a1-stderr.txt b/dev/research/metal_pathfinding/results/aba/a1-stderr.txt deleted file mode 100644 index e69de29..0000000 diff --git a/dev/research/metal_pathfinding/results/aba/a1.csv b/dev/research/metal_pathfinding/results/aba/a1.csv deleted file mode 100644 index 85a75b7..0000000 --- a/dev/research/metal_pathfinding/results/aba/a1.csv +++ /dev/null @@ -1,109 +0,0 @@ -case,n,e,queries,method,wall_ms,gpu_ms,distance_wall_ms,upload_ms,rounds,samples,correct,exact_order_queries,wall_samples_ms -random,128,1024,1,cpu_full,0.031083,0.000000,0.031083,0.000000,0,9,pass,1,0.025959;0.047458;0.031083;0.025458;0.089375;0.046875;0.027416;0.042458;0.027167 -random,128,1024,1,cpu_distance,0.010625,0.000000,0.010625,0.000000,0,9,pass,0,0.010625;0.010083;0.053000;0.028416;0.012625;0.010750;0.010250;0.009917;0.009917 -random,128,1024,1,cpu_pool10,0.065334,0.000000,0.065334,0.000000,0,9,pass,1,0.072125;0.134959;0.047291;0.041166;0.047625;0.065334;0.108833;0.065334;0.039959 -random,128,1024,1,cpu_pool10_distance,0.031291,0.000000,0.031291,0.000000,0,9,pass,0,0.069500;0.029708;0.031500;0.034125;0.031291;0.036583;0.029125;0.026166;0.027500 -random,128,1024,64,cpu_full,2.259334,0.000000,2.259334,0.000000,0,9,pass,64,2.880125;2.602792;2.582041;2.345583;2.175084;2.259334;2.142166;1.871250;1.849166 -random,128,1024,64,cpu_distance,0.604334,0.000000,0.604334,0.000000,0,9,pass,0,0.777792;0.734917;0.664542;0.613875;0.604334;0.593916;0.557875;0.527708;0.496709 -random,128,1024,64,cpu_pool10,0.234125,0.000000,0.234125,0.000000,0,9,pass,64,0.336750;0.342667;0.316625;0.254000;0.223584;0.234125;0.198583;0.190167;0.206083 -random,128,1024,64,cpu_pool10_distance,0.126417,0.000000,0.126417,0.000000,0,9,pass,0,0.131541;0.137000;0.126417;0.129334;0.111583;0.122541;0.128042;0.108500;0.113791 -random,1024,8192,1,cpu_full,0.145417,0.000000,0.145417,0.000000,0,9,pass,1,0.168083;0.164667;0.152583;0.147458;0.144750;0.145417;0.145333;0.144000;0.144834 -random,1024,8192,1,cpu_distance,0.080125,0.000000,0.080125,0.000000,0,9,pass,0,0.083250;0.080750;0.079959;0.080333;0.079334;0.079584;0.079541;0.081667;0.080125 -random,1024,8192,1,cpu_pool10,0.228792,0.000000,0.228792,0.000000,0,9,pass,1,0.265000;0.228792;0.263084;0.261959;0.227500;0.220083;0.220208;0.195542;0.237208 -random,1024,8192,1,cpu_pool10_distance,0.134708,0.000000,0.134708,0.000000,0,9,pass,0,0.140625;0.138291;0.116250;0.142541;0.134708;0.110167;0.100417;0.150417;0.111000 -random,1024,8192,64,cpu_full,10.256834,0.000000,10.256834,0.000000,0,9,pass,64,10.220708;10.174458;10.082500;10.185167;10.265750;10.277833;10.256834;10.274708;10.452625 -random,1024,8192,64,cpu_distance,5.040292,0.000000,5.040292,0.000000,0,9,pass,0,5.296791;5.411084;5.040292;5.061084;5.073833;4.945042;4.947209;5.020833;4.953291 -random,1024,8192,64,cpu_pool10,1.273334,0.000000,1.273334,0.000000,0,9,pass,64,1.261917;1.254709;1.264208;1.274875;1.273334;1.289083;1.297209;1.288209;1.251541 -random,1024,8192,64,cpu_pool10_distance,0.633542,0.000000,0.633542,0.000000,0,9,pass,0,0.646750;0.634292;0.633542;0.642042;0.639000;0.627834;0.626209;0.630625;0.617000 -fabric,288,16384,1,cpu_full,0.106625,0.000000,0.106625,0.000000,0,9,pass,1,0.103000;0.111958;0.103875;0.109167;0.103208;0.109958;0.103458;0.108709;0.106625 -fabric,288,16384,1,cpu_distance,0.022209,0.000000,0.022209,0.000000,0,9,pass,0,0.022542;0.022375;0.022292;0.022209;0.022042;0.022125;0.022083;0.022041;0.022209 -fabric,288,16384,1,cpu_pool10,0.136416,0.000000,0.136416,0.000000,0,9,pass,1,0.144084;0.130041;0.140500;0.131666;0.137458;0.136416;0.133250;0.129459;0.141334 -fabric,288,16384,1,cpu_pool10_distance,0.051583,0.000000,0.051583,0.000000,0,9,pass,0,0.043250;0.040625;0.052750;0.044667;0.058000;0.053625;0.047084;0.063917;0.051583 -fabric,288,16384,64,cpu_full,7.037208,0.000000,7.037208,0.000000,0,9,pass,64,7.154417;7.377959;7.160000;6.919500;7.004708;7.303625;7.037208;6.997208;7.035792 -fabric,288,16384,64,cpu_distance,1.361708,0.000000,1.361708,0.000000,0,9,pass,0,1.336542;1.394208;1.345500;1.334958;1.364208;1.410250;1.361000;1.369667;1.361708 -fabric,288,16384,64,cpu_pool10,1.010542,0.000000,1.010542,0.000000,0,9,pass,64,0.891250;1.371208;1.054042;0.880958;1.157417;1.010542;0.909041;1.264625;0.965167 -fabric,288,16384,64,cpu_pool10_distance,0.194375,0.000000,0.194375,0.000000,0,9,pass,0,0.209667;0.195750;0.213708;0.207041;0.194250;0.193041;0.188792;0.190834;0.194375 -grid,1024,3968,1,cpu_full,0.037042,0.000000,0.037042,0.000000,0,9,pass,1,0.038875;0.037542;0.037042;0.037250;0.037209;0.036791;0.036917;0.036875;0.036916 -grid,1024,3968,1,cpu_distance,0.010250,0.000000,0.010250,0.000000,0,9,pass,0,0.010792;0.010500;0.010375;0.010375;0.010167;0.010250;0.010125;0.009917;0.010000 -grid,1024,3968,1,cpu_pool10,0.072834,0.000000,0.072834,0.000000,0,9,pass,1,0.082750;0.064583;0.077709;0.063250;0.082875;0.072834;0.070625;0.063208;0.078708 -grid,1024,3968,1,cpu_pool10_distance,0.029667,0.000000,0.029667,0.000000,0,9,pass,0,0.031583;0.028041;0.028125;0.035917;0.029667;0.030750;0.029500;0.026959;0.031833 -grid,1024,3968,64,cpu_full,3.824709,0.000000,3.824709,0.000000,0,9,pass,64,3.806875;3.924791;3.797833;3.863083;3.824709;3.822500;3.807833;3.827250;3.879416 -grid,1024,3968,64,cpu_distance,0.853125,0.000000,0.853125,0.000000,0,9,pass,0,0.887958;0.871792;0.859042;0.873250;0.842917;0.853125;0.849041;0.839958;0.845458 -grid,1024,3968,64,cpu_pool10,0.498458,0.000000,0.498458,0.000000,0,9,pass,64,0.486167;0.522625;0.487375;0.493542;0.521041;0.498458;0.512292;0.498917;0.481625 -grid,1024,3968,64,cpu_pool10_distance,0.146458,0.000000,0.146458,0.000000,0,9,pass,0,0.148833;0.140667;0.145375;0.160292;0.149875;0.139458;0.172917;0.146458;0.141541 -chain,256,255,1,cpu_full,0.002250,0.000000,0.002250,0.000000,0,9,pass,1,0.003500;0.002292;0.002250;0.002291;0.002250;0.002208;0.002250;0.002291;0.002209 -chain,256,255,1,cpu_distance,0.000500,0.000000,0.000500,0.000000,0,9,pass,0,0.000583;0.000459;0.000542;0.000500;0.000458;0.000459;0.000500;0.000459;0.000583 -chain,256,255,1,cpu_pool10,0.033416,0.000000,0.033416,0.000000,0,9,pass,1,0.031625;0.035916;0.026833;0.033416;0.027625;0.024667;0.033708;0.034708;0.036959 -chain,256,255,1,cpu_pool10_distance,0.032375,0.000000,0.032375,0.000000,0,9,pass,0,0.033750;0.033000;0.030500;0.024583;0.043792;0.019459;0.032375;0.032750;0.026333 -random_masked_int64_reverse,1024,8192,8,cpu_full,0.585459,0.000000,0.585459,0.000000,0,9,pass,8,0.634625;0.620333;0.607833;0.610125;0.585459;0.575459;0.583375;0.570917;0.562458 -random_masked_int64_reverse,1024,8192,8,cpu_distance,0.279667,0.000000,0.279667,0.000000,0,9,pass,0,0.336250;0.315000;0.279667;0.277041;0.278250;0.280958;0.286333;0.267625;0.273000 -random_masked_int64_reverse,1024,8192,8,cpu_pool10,0.149667,0.000000,0.149667,0.000000,0,9,pass,8,0.147333;0.155041;0.152666;0.154875;0.149667;0.143208;0.138250;0.151125;0.131666 -random_masked_int64_reverse,1024,8192,8,cpu_pool10_distance,0.092750,0.000000,0.092750,0.000000,0,9,pass,0,0.093708;0.096667;0.091667;0.088125;0.092083;0.090250;0.097916;0.099708;0.092750 -random,4096,32768,1,cpu_full,0.640750,0.000000,0.640750,0.000000,0,9,pass,1,0.654125;0.672584;0.635750;0.640750;0.630541;0.715625;0.663917;0.620958;0.638875 -random,4096,32768,1,cpu_distance,0.305042,0.000000,0.305042,0.000000,0,9,pass,0,0.318834;0.383000;0.356625;0.305042;0.285792;0.279584;0.276209;0.281125;0.308542 -random,4096,32768,1,cpu_pool10,0.750792,0.000000,0.750792,0.000000,0,9,pass,1,0.732959;0.763292;0.765875;0.765083;0.750291;0.750792;0.697250;0.738625;0.866042 -random,4096,32768,1,cpu_pool10_distance,0.396125,0.000000,0.396125,0.000000,0,9,pass,0,0.391083;0.399042;0.400041;0.445875;0.352625;0.396125;0.416417;0.368375;0.364292 -random,4096,32768,64,cpu_full,50.551959,0.000000,50.551959,0.000000,0,9,pass,64,50.982291;50.381667;51.224250;50.245000;49.884125;50.077625;50.921250;50.551959;51.063625 -random,4096,32768,64,cpu_distance,25.068208,0.000000,25.068208,0.000000,0,9,pass,0,24.892083;25.225875;25.305542;24.956250;25.502416;25.652625;24.782041;25.068208;24.635917 -random,4096,32768,64,cpu_pool10,5.984083,0.000000,5.984083,0.000000,0,9,pass,64,6.019500;6.024709;5.952959;5.948666;5.984083;6.007625;5.921583;5.963333;6.381042 -random,4096,32768,64,cpu_pool10_distance,2.967750,0.000000,2.967750,0.000000,0,9,pass,0,2.974166;2.993208;2.954208;2.951584;2.963167;2.988542;2.967750;2.972125;2.958500 -random,4096,32768,256,cpu_full,203.524291,0.000000,203.524291,0.000000,0,9,pass,256,201.889458;203.077667;202.445916;205.140292;207.688792;203.452125;204.337834;203.558833;203.524291 -random,4096,32768,256,cpu_distance,100.870916,0.000000,100.870916,0.000000,0,9,pass,0,102.179417;100.391417;99.621458;99.962083;100.870916;100.120167;102.712666;103.321958;103.868375 -random,4096,32768,256,cpu_pool10,23.461417,0.000000,23.461417,0.000000,0,9,pass,256,23.404958;23.153542;23.566042;22.393541;23.576000;23.669625;28.794875;23.461417;23.088458 -random,4096,32768,256,cpu_pool10_distance,12.019459,0.000000,12.019459,0.000000,0,9,pass,0,11.456875;11.726541;12.966375;12.238042;12.717875;12.019459;11.796125;12.376375;11.948333 -random,16384,131072,1,cpu_full,4.095417,0.000000,4.095417,0.000000,0,9,pass,1,4.290250;3.940416;4.150417;3.954583;3.887333;4.095417;3.985083;4.162667;4.295334 -random,16384,131072,1,cpu_distance,2.076458,0.000000,2.076458,0.000000,0,9,pass,0,2.369584;2.076458;1.996792;2.022250;2.259167;2.148209;2.015833;2.012167;2.160583 -random,16384,131072,1,cpu_pool10,3.907000,0.000000,3.907000,0.000000,0,9,pass,1,3.736125;3.756166;4.311583;4.175125;3.876833;3.907000;4.442625;3.681041;4.181042 -random,16384,131072,1,cpu_pool10_distance,1.988250,0.000000,1.988250,0.000000,0,9,pass,0,1.939375;1.947750;1.892166;1.988250;1.939125;1.997125;2.016583;2.086959;2.044542 -random,16384,131072,64,cpu_full,246.791250,0.000000,246.791250,0.000000,0,9,pass,64,247.174041;257.095833;248.073500;242.532542;244.690333;241.950875;242.319083;246.791250;248.494458 -random,16384,131072,64,cpu_distance,128.259375,0.000000,128.259375,0.000000,0,9,pass,0,128.418500;127.874875;128.259375;128.375083;129.444958;127.964208;128.118000;128.115125;128.568334 -random,16384,131072,64,cpu_pool10,28.289500,0.000000,28.289500,0.000000,0,9,pass,64,28.152417;28.391750;28.205000;28.321167;28.289500;28.210041;28.201417;28.320125;28.388750 -random,16384,131072,64,cpu_pool10_distance,14.897583,0.000000,14.897583,0.000000,0,9,pass,0,14.930292;14.903167;14.878917;14.855125;14.861167;14.889166;14.897583;14.933375;14.931750 -random,65536,524288,1,cpu_full,20.761667,0.000000,20.761667,0.000000,0,9,pass,1,20.893041;20.761667;21.248417;22.771708;19.348959;21.047583;20.342500;19.837625;20.622167 -random,65536,524288,1,cpu_distance,10.450375,0.000000,10.450375,0.000000,0,9,pass,0,10.685375;10.484542;10.293209;10.711500;10.304833;10.450375;10.329542;10.734417;10.264709 -random,65536,524288,1,cpu_pool10,21.484917,0.000000,21.484917,0.000000,0,9,pass,1,18.160875;18.542833;18.610750;19.389750;22.475417;22.478750;21.749084;21.484917;21.888666 -random,65536,524288,1,cpu_pool10_distance,10.246625,0.000000,10.246625,0.000000,0,9,pass,0,11.192042;10.267166;9.973292;10.866416;10.246625;10.542208;10.197125;10.197459;9.896917 -random,65536,524288,64,cpu_full,1257.924209,0.000000,1257.924209,0.000000,0,9,pass,64,1282.247375;1223.090292;1257.924209;1239.818375;1313.894125;1432.189959;1278.728875;1241.412875;1243.033125 -random,65536,524288,64,cpu_distance,665.201250,0.000000,665.201250,0.000000,0,9,pass,0,662.326750;666.337417;657.751459;704.184958;697.644750;659.886125;673.242417;661.982917;665.201250 -random,65536,524288,64,cpu_pool10,174.081708,0.000000,174.081708,0.000000,0,9,pass,64,172.784166;174.081708;191.587583;188.869292;171.705625;172.985750;174.222334;173.790417;176.710000 -random,65536,524288,64,cpu_pool10_distance,85.845625,0.000000,85.845625,0.000000,0,9,pass,0,85.845625;85.446458;85.561875;85.000792;84.927542;86.648500;86.624791;86.942667;86.348917 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a/dev/research/metal_pathfinding/results/aba/a2-stderr.txt b/dev/research/metal_pathfinding/results/aba/a2-stderr.txt deleted file mode 100644 index e69de29..0000000 diff --git a/dev/research/metal_pathfinding/results/aba/a2.csv b/dev/research/metal_pathfinding/results/aba/a2.csv deleted file mode 100644 index c09febd..0000000 --- a/dev/research/metal_pathfinding/results/aba/a2.csv +++ /dev/null @@ -1,109 +0,0 @@ -case,n,e,queries,method,wall_ms,gpu_ms,distance_wall_ms,upload_ms,rounds,samples,correct,exact_order_queries,wall_samples_ms -random,128,1024,1,cpu_full,0.010125,0.000000,0.010125,0.000000,0,9,pass,1,0.011291;0.010208;0.009417;0.009834;0.010125;0.010667;0.009375;0.010708;0.009500 -random,128,1024,1,cpu_distance,0.004542,0.000000,0.004542,0.000000,0,9,pass,0,0.007583;0.004542;0.004209;0.006084;0.005083;0.004250;0.005041;0.004125;0.004083 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a/dev/research/metal_pathfinding/results/aba/b-stderr.txt b/dev/research/metal_pathfinding/results/aba/b-stderr.txt deleted file mode 100644 index 5985671..0000000 --- a/dev/research/metal_pathfinding/results/aba/b-stderr.txt +++ /dev/null @@ -1 +0,0 @@ -device=Apple M4 Max setup_ms=24.1354 execution_width=32 diff --git a/dev/research/metal_pathfinding/results/aba/b.csv b/dev/research/metal_pathfinding/results/aba/b.csv deleted file mode 100644 index 9be0375..0000000 --- a/dev/research/metal_pathfinding/results/aba/b.csv +++ /dev/null @@ -1,69 +0,0 @@ -case,n,e,queries,method,wall_ms,gpu_ms,distance_wall_ms,upload_ms,rounds,samples,correct,exact_order_queries,wall_samples_ms -random,128,1024,1,metal_pull,0.567417,0.322166,0.563459,0.019916,16,9,pass,0,0.602750;0.587458;0.567417;0.556208;0.548792;0.569833;0.601416;0.558500;0.566750 -random,128,1024,1,metal_group,0.251042,0.130875,0.247458,0.019916,9,9,pass,0,0.252625;0.251042;0.251041;0.251083;0.250791;0.250458;0.267250;0.280500;0.243125 -random,128,1024,1,metal_shared,0.242250,0.123542,0.238708,0.019916,9,9,pass,0,0.244125;0.240792;0.243250;0.242209;0.247542;0.370625;0.242250;0.240250;0.242042 -random,128,1024,64,metal_pull,0.857625,0.380292,0.638500,0.031459,16,9,pass,0,0.866750;0.833917;0.866208;0.857625;0.854625;0.869375;0.850458;0.844500;0.870542 -random,128,1024,64,metal_group,0.585250,0.179333,0.323750,0.031459,13,9,pass,0,0.516250;0.630916;0.534417;0.511167;0.585250;0.585291;0.586250;0.577042;1.320875 -random,128,1024,64,metal_shared,0.526625,0.168792,0.290916,0.031459,13,9,pass,0,0.526625;0.530375;0.533208;0.516334;0.532167;0.540000;0.520250;0.520958;0.524625 -random,1024,8192,1,metal_pull,0.706541,0.431458,0.672833,0.063792,16,9,pass,0,0.708958;0.706541;0.683500;0.696333;0.716708;0.703208;0.702042;0.706542;0.709250 -random,1024,8192,1,metal_group,0.898959,0.679542,0.828542,0.063792,13,9,pass,0,0.874041;0.952625;0.835417;0.958875;0.956334;0.957792;0.836917;0.834667;0.898959 -random,1024,8192,1,metal_shared,0.855917,0.640000,0.787083,0.063792,13,9,pass,0,0.795708;0.898333;0.792708;0.855917;0.934083;0.924583;0.848958;0.892709;0.798875 -random,1024,8192,64,metal_pull,4.632416,1.600792,2.329459,0.066041,24,9,pass,0,4.332500;4.367000;4.657500;4.592333;4.674958;4.290750;4.916542;4.632416;4.770708 -random,1024,8192,64,metal_group,3.383708,0.822625,1.053875,0.066041,17,9,pass,0,3.680667;3.598500;3.752959;3.733166;3.379375;3.383708;3.346375;3.052459;3.109458 -random,1024,8192,64,metal_shared,3.647125,0.827375,1.293500,0.066041,17,9,pass,0,2.843375;3.248042;3.677583;3.657959;3.652542;3.647125;3.590833;3.698167;3.128125 -fabric,288,16384,1,metal_pull,0.584500,0.408625,0.523791,0.100625,8,9,pass,0,0.611375;0.592875;0.576625;0.585417;0.584500;0.579167;0.918042;0.567042;0.565459 -fabric,288,16384,1,metal_group,0.773084,0.583125,0.709625,0.100625,3,9,pass,0,0.327667;0.503125;0.767875;0.773084;0.791375;0.774750;0.777583;0.780084;0.761833 -fabric,288,16384,1,metal_shared,0.737875,0.555167,0.679958,0.100625,3,9,pass,0,0.739417;0.739875;0.736542;0.761292;0.918042;0.733042;0.737875;0.731083;0.726666 -fabric,288,16384,64,metal_pull,5.875333,1.801583,2.368750,0.132416,8,9,pass,0,6.109209;5.987041;5.790292;5.954583;5.768875;5.917583;5.761416;5.875333;5.816042 -fabric,288,16384,64,metal_group,4.538083,0.652000,1.189125,0.132416,3,9,pass,0,4.560458;4.799042;4.693917;4.400916;4.460208;4.538083;4.538041;4.492500;4.595333 -fabric,288,16384,64,metal_shared,4.551917,0.631000,1.168166,0.132416,3,9,pass,0,4.407250;4.394208;4.624959;4.553750;4.580375;4.241083;4.558125;4.551917;4.439542 -grid,1024,3968,1,metal_pull,1.681000,0.651333,1.668041,0.069500,64,9,pass,0,3.145792;1.681000;1.832667;1.848833;1.864125;1.546333;1.373083;1.407792;1.178375 -grid,1024,3968,1,metal_group,0.388208,0.227000,0.373083,0.069500,63,9,pass,0,0.387292;0.388208;0.388583;0.388750;0.385500;0.440667;0.387792;0.388583;0.387209 -grid,1024,3968,1,metal_shared,0.374459,0.213375,0.359417,0.069500,63,9,pass,0,0.365709;0.375708;0.376375;0.374459;0.374375;0.369500;0.375667;0.372625;0.378083 -grid,1024,3968,64,metal_pull,2.805208,0.405750,1.965292,0.049083,64,9,pass,0,3.028000;3.075959;2.952958;2.663000;2.846458;2.737833;2.370708;2.250000;2.805208 -grid,1024,3968,64,metal_group,1.723750,0.206625,0.854125,0.049083,63,9,pass,0,1.723750;1.217917;1.237792;1.618083;1.954292;1.625958;1.766209;1.758125;1.827375 -grid,1024,3968,64,metal_shared,1.775500,0.195250,0.870750,0.049083,63,9,pass,0,1.726416;1.202875;1.847292;1.667541;1.777375;1.775500;1.795250;1.679000;1.792250 -chain,256,255,1,metal_pull,4.188292,0.508375,4.186625,0.062958,256,9,pass,1,4.498417;4.636458;4.241791;4.533875;4.188292;3.823209;3.755125;3.775666;3.508791 -chain,256,255,1,metal_group,0.225292,0.132750,0.224000,0.062958,256,9,pass,1,0.224542;0.229375;0.228458;0.227375;0.225292;0.223292;0.222709;0.224208;0.324750 -chain,256,255,1,metal_shared,0.229792,0.122250,0.228458,0.062958,256,9,pass,1,0.230500;0.227917;0.228000;0.218333;0.235750;0.229792;0.231167;0.230375;0.222041 -random_masked_int64_reverse,1024,8192,8,metal_pull,0.522875,0.032125,0.135209,0.090500,8,9,pass,1,0.511834;0.544083;0.563459;0.534917;0.562042;0.507209;0.522875;0.520583;0.507917 -random_masked_int64_reverse,1024,8192,8,metal_group,0.531875,0.053625,0.158542,0.090500,8,9,pass,1,0.527416;0.562709;0.514000;0.537875;0.531875;0.519292;0.523708;0.546541;0.538459 -random_masked_int64_reverse,1024,8192,8,metal_shared,0.526041,0.049917,0.159333,0.090500,8,9,pass,1,0.514334;0.539375;0.533833;0.518833;0.512709;0.557000;0.524750;0.526041;0.547541 -random,4096,32768,1,metal_pull,0.458167,0.106292,0.325875,0.184875,16,9,pass,0,0.458042;0.453625;0.463291;0.451416;0.457791;0.462958;0.458167;0.465000;0.529708 -random,4096,32768,1,metal_group,1.031083,0.737750,0.873125,0.184875,16,9,pass,0,1.038458;1.004667;0.969208;0.976291;1.031083;1.036333;1.075125;0.979417;1.085459 -random,4096,32768,64,metal_pull,13.708083,2.607750,3.892709,0.228209,24,9,pass,0,19.328916;12.469084;12.552083;18.668167;13.211458;18.690625;13.948333;13.708083;12.846250 -random,4096,32768,64,metal_group,12.983292,2.521375,3.123333,0.228209,19,9,pass,0,11.323000;11.705708;12.151083;12.648958;12.983292;13.544500;13.467916;14.265500;14.300583 -random,4096,32768,256,metal_pull,49.690584,9.834250,11.281292,0.220667,24,9,pass,0,49.880458;49.319875;49.208292;49.690584;50.530375;49.900583;49.381000;49.333916;50.406125 -random,4096,32768,256,metal_group,47.235458,8.198500,8.931625,0.220667,20,9,pass,0,48.244833;48.005541;46.817625;46.219417;46.147375;46.081250;47.235458;56.480959;51.777709 -random,16384,131072,1,metal_pull,1.529042,0.427750,0.892000,0.595375,24,9,pass,0,2.015375;1.495250;1.529042;1.527875;1.600917;1.563125;1.599542;1.528292;1.519417 -random,16384,131072,1,metal_group,5.643083,4.789500,4.978750,0.595375,18,9,pass,0,5.749875;5.666792;5.650041;5.599667;5.643083;5.604333;5.611708;5.601166;5.683917 -random,16384,131072,64,metal_pull,58.410458,11.548458,13.326750,0.663209,24,9,pass,0,67.121166;57.667833;58.470167;57.913459;58.156250;58.410458;59.990625;61.279500;58.239084 -random,16384,131072,64,metal_group,54.004166,8.331625,9.176375,0.663209,22,9,pass,0,54.397292;54.004166;53.502291;53.214125;52.934375;66.739042;54.280541;54.790833;53.420042 -random,65536,524288,1,metal_pull,4.921875,0.846833,1.920917,2.726125,24,9,pass,0,6.001291;5.252834;4.935458;4.593417;4.787125;4.773958;4.849458;4.921875;5.000417 -random,65536,524288,1,metal_group,31.772208,28.237500,28.881750,2.726125,22,9,pass,0,31.775041;31.772208;31.570917;31.932708;31.588333;31.742625;32.067125;31.611333;32.124917 -random,65536,524288,64,metal_pull,278.466208,78.681083,80.713958,2.758750,32,9,pass,0,281.715833;280.435583;278.466208;281.948125;277.973000;277.116458;281.096833;266.919750;276.584625 -random,65536,524288,64,metal_group,277.240041,77.399292,78.233042,2.758750,25,9,pass,0,278.460875;277.240041;273.348500;274.964750;277.577750;281.394417;273.737042;273.665000;280.961666 -chain,2048,2047,1,metal_pull,28.527166,4.077999,28.517125,0.065792,2048,9,pass,1,29.465125;29.033125;28.804292;28.516417;28.424041;28.197667;28.328708;28.647750;28.527166 -chain,2048,2047,1,metal_group,4.803792,4.693375,4.793333,0.065792,2048,9,pass,1,4.799833;4.803792;4.848750;4.903459;4.850958;4.797625;4.800458;4.854666;4.799416 -random,4096,131072,1,metal_pull,0.842792,0.254458,0.451708,0.581791,16,9,pass,0,0.838875;0.832625;0.823042;0.842792;0.843417;0.834083;0.854458;0.886917;0.861834 -random,4096,131072,1,metal_group,2.677375,2.169000,2.272500,0.581791,12,9,pass,0,2.698875;2.772292;2.643875;2.677375;2.720708;2.809459;2.660750;2.642417;2.643792 -random,4096,131072,64,metal_pull,35.841000,6.486458,8.086625,0.641875,16,9,pass,0,35.841000;35.529625;35.501708;35.851209;34.786084;35.420083;37.314042;38.495375;38.841625 -random,4096,131072,64,metal_group,35.625625,7.266500,7.957042,0.641875,15,9,pass,0,32.706541;33.508083;33.932792;37.469041;35.970166;35.835375;35.625625;35.057250;35.728792 -clos,200,20000,1,metal_pull,0.928583,0.457833,0.859500,0.122584,8,9,pass,0,1.622417;1.091250;0.843625;1.078542;1.037583;0.765958;0.783041;0.928583;0.390333 -clos,200,20000,1,metal_group,0.260833,0.063333,0.197625,0.122584,3,9,pass,0,0.234208;0.237334;0.251208;0.250708;0.282042;0.268625;0.260833;0.291875;0.268208 -clos,200,20000,1,metal_shared,0.253875,0.059500,0.190000,0.122584,3,9,pass,0,0.254834;0.253083;0.253125;0.252833;0.255250;0.253875;0.257084;0.253667;0.256458 -clos,200,20000,64,metal_pull,5.757625,1.018167,1.556333,0.129209,8,9,pass,0,5.767959;5.609834;5.724250;5.673250;5.757625;5.656250;5.840625;5.759333;5.932584 -clos,200,20000,64,metal_group,5.121500,0.300292,0.831667,0.129209,3,9,pass,0,5.121500;5.192666;5.247041;5.146750;5.005208;4.946208;5.251791;5.036250;4.973417 -clos,200,20000,64,metal_shared,5.014750,0.294792,0.884542,0.129209,3,9,pass,0,5.155125;5.007708;5.014750;5.007417;5.045417;5.119459;5.008125;5.027000;4.946958 -clos,800,320000,1,metal_pull,2.688750,1.320875,1.690291,1.198250,8,9,pass,0,5.262625;4.836667;2.426042;1.908625;2.955417;4.635917;2.688750;1.943125;2.464041 -clos,800,320000,1,metal_group,3.609042,2.091917,2.558959,1.198250,3,9,pass,0,2.589541;5.534292;5.195666;3.609042;2.121750;2.612750;2.684584;5.583500;4.444583 -clos,800,320000,1,metal_shared,2.589500,0.886333,1.607250,1.198250,3,9,pass,0,2.055708;2.589500;5.415708;5.412917;2.020792;2.759542;2.584042;2.544167;3.905959 -clos,800,320000,64,metal_pull,84.243334,17.155875,17.769125,1.222459,8,9,pass,0,85.693292;82.820583;84.810666;85.224834;85.088417;84.171083;83.663167;82.692000;84.243334 -clos,800,320000,64,metal_group,72.947292,5.246625,5.806292,1.222459,3,9,pass,0,73.739000;72.666209;72.213333;73.495000;73.113167;72.947292;72.646917;72.817208;73.371959 -clos,800,320000,64,metal_shared,72.451792,5.047375,5.681500,1.222459,3,9,pass,0,72.509583;73.012750;72.451792;71.838583;72.226000;71.746875;72.920042;71.717500;73.992291 -grid,10000,39600,1,metal_pull,5.348750,2.243750,5.217083,0.188000,200,9,pass,0,5.705000;5.633250;5.483041;5.417042;5.337041;5.326500;5.348750;5.246000;5.313625 -grid,10000,39600,1,metal_group,7.826000,7.551000,7.692791,0.188000,199,9,pass,0,7.837625;7.825416;7.803542;7.800167;7.832833;7.832208;7.836458;7.812709;7.826000 -grid,10000,39600,8,metal_pull,6.016250,1.352667,4.932792,0.180625,200,9,pass,0,6.059625;5.488791;5.902791;6.103208;5.938250;6.325250;6.016250;5.983042;6.140208 -grid,10000,39600,8,metal_group,9.135500,7.427292,8.073792,0.180625,199,9,pass,0,8.722000;8.678750;9.158917;9.133459;9.125792;9.135500;9.266750;9.217875;9.343875 -grid,40000,159200,1,metal_pull,8.408041,1.743417,7.867500,0.554416,400,9,pass,0,9.057583;9.127500;8.940416;8.546416;8.408041;7.482041;7.682875;7.581166;7.693792 -grid,40000,159200,1,metal_group,65.239125,64.260458,64.756208,0.554416,399,9,pass,0,64.734541;65.239125;65.375083;64.894917;65.609625;66.268041;65.783375;64.778250;64.975083 diff --git a/dev/research/metal_pathfinding/results/aba/environment.txt b/dev/research/metal_pathfinding/results/aba/environment.txt deleted file mode 100644 index b039362..0000000 --- a/dev/research/metal_pathfinding/results/aba/environment.txt +++ /dev/null @@ -1,17 +0,0 @@ -2026-09-26T23:07:34Z -fbab119e794c843838f4f3f96d75cb7f32f06845 -ProductName: macOS -ProductVersion: 26.6.1 -BuildVersion: 25G76 -Apple M4 Max -38654705664 -14 -Apple clang version 21.0.0 (clang-2100.1.1.101) -Target: arm64-apple-darwin25.6.0 -Thread model: posix -InstalledDir: /Library/Developer/CommandLineTools/usr/bin -1da9ff77bd2ad97e95e951454821b25005859c6f75c27a3c56d925e5fc99f6fc dev/research/metal_pathfinding/experiment.mm -2e36b1623a3940bf1f19f5d81141bb1def14f5873fe2a98aab0101bbe68618a3 dev/research/metal_pathfinding/sssp.metal -Note: No thermal warning level has been recorded -Note: No performance warning level has been recorded -Note: No CPU power status has been recorded diff --git a/dev/research/metal_pathfinding/results/aba/gpu-load-a1.txt b/dev/research/metal_pathfinding/results/aba/gpu-load-a1.txt deleted file mode 100644 index 7b19971..0000000 --- a/dev/research/metal_pathfinding/results/aba/gpu-load-a1.txt +++ /dev/null @@ -1 +0,0 @@ - | "PerformanceStatistics" = {"In use system memory (driver)"=0,"Alloc system memory"=11028365312,"Tiler Utilization %"=5,"recoveryCount"=0,"lastRecoveryTime"=0,"Renderer Utilization %"=8,"TiledSceneBytes"=2326528,"Device Utilization %"=8,"SplitSceneCount"=0,"Allocated PB Size"=190316544,"In use system memory"=1562312704} diff --git a/dev/research/metal_pathfinding/results/aba/gpu-load-a2.txt b/dev/research/metal_pathfinding/results/aba/gpu-load-a2.txt deleted file mode 100644 index 63385cb..0000000 --- a/dev/research/metal_pathfinding/results/aba/gpu-load-a2.txt +++ /dev/null @@ -1 +0,0 @@ - | "PerformanceStatistics" = {"In use system memory (driver)"=0,"Alloc system memory"=11064967168,"Tiler Utilization %"=1,"recoveryCount"=0,"lastRecoveryTime"=0,"Renderer Utilization %"=3,"TiledSceneBytes"=1736704,"Device Utilization %"=75,"SplitSceneCount"=0,"Allocated PB Size"=192806912,"In use system memory"=1753808896} diff --git a/dev/research/metal_pathfinding/results/aba/gpu-load-b.txt b/dev/research/metal_pathfinding/results/aba/gpu-load-b.txt deleted file mode 100644 index 7edec31..0000000 --- a/dev/research/metal_pathfinding/results/aba/gpu-load-b.txt +++ /dev/null @@ -1 +0,0 @@ - | "PerformanceStatistics" = {"In use system memory (driver)"=0,"Alloc system memory"=11040063488,"Tiler Utilization %"=3,"recoveryCount"=0,"lastRecoveryTime"=0,"Renderer Utilization %"=5,"TiledSceneBytes"=2326528,"Device Utilization %"=5,"SplitSceneCount"=0,"Allocated PB Size"=191889408,"In use system memory"=1626095616} diff --git a/dev/research/metal_pathfinding/results/aba/load-a1.txt b/dev/research/metal_pathfinding/results/aba/load-a1.txt deleted file mode 100644 index dad8c67..0000000 --- a/dev/research/metal_pathfinding/results/aba/load-a1.txt +++ /dev/null @@ -1,40 +0,0 @@ -Processes: 1026 total, 3 running, 1023 sleeping, 5227 threads -2026/09/27 00:07:35 -Load Avg: 2.50, 3.63, 4.23 -CPU usage: 3.63% user, 8.76% sys, 87.60% idle -SharedLibs: 914M resident, 168M data, 135M linkedit. -MemRegions: 625179 total, 9927M resident, 739M private, 4203M shared. -PhysMem: 33G used (4233M wired, 633M compressor), 1868M unused. -VM: 452T vsize, 6144M framework vsize, 2843905(0) swapins, 4729331(0) swapouts. -Networks: packets: 190194634/161G in, 145611011/163G out. -Disks: 97549297/2475G read, 117292342/2098G written. - -PID COMMAND %CPU #TH -99753 mscamerad-xpc 0.0 2 -99752 PlugInLibrarySer 0.0 2 -99750 QuickLookUIServi 0.0 3 -99749 com.apple.appkit 0.0 3 -99710 PlugInLibrarySer 0.0 2 -99709 Preview 0.0 4 -99428 crashpad_handler 0.0 4 -98995 crashpad_handler 0.0 4 -Processes: 1026 total, 2 running, 1024 sleeping, 5225 threads -2026/09/27 00:07:36 -Load Avg: 2.54, 3.62, 4.22 -CPU usage: 5.65% user, 4.27% sys, 90.7% idle -SharedLibs: 914M resident, 168M data, 135M linkedit. -MemRegions: 0 total, 0B resident, 739M private, 4203M shared. -PhysMem: 33G used (4198M wired, 633M compressor), 1875M unused. -VM: 452T vsize, 6144M framework vsize, 2843905(0) swapins, 4729331(0) swapouts. -Networks: packets: 190194809/161G in, 145611193/163G out. -Disks: 97549297/2475G read, 117292347/2098G written. - -PID COMMAND %CPU #TH -70968 Superset Helper 22.2 32 -590 WindowServer 16.0 30 -0 kernel_task 10.7 850/14 -80307 top 8.9 1/1 -65401 codex 6.0 38 -70942 Superset Helper 5.4 18 -21666 2.1.283 4.7 28 -70934 Superset 4.3 51 diff --git a/dev/research/metal_pathfinding/results/aba/load-a2.txt b/dev/research/metal_pathfinding/results/aba/load-a2.txt deleted file mode 100644 index 153a0a0..0000000 --- a/dev/research/metal_pathfinding/results/aba/load-a2.txt +++ /dev/null @@ -1,40 +0,0 @@ -Processes: 1028 total, 2 running, 1026 sleeping, 5254 threads -2026/09/27 00:09:05 -Load Avg: 2.84, 3.47, 4.10 -CPU usage: 11.34% user, 14.82% sys, 73.82% idle -SharedLibs: 914M resident, 168M data, 135M linkedit. -MemRegions: 638481 total, 10G resident, 741M private, 4225M shared. -PhysMem: 34G used (4167M wired, 632M compressor), 1555M unused. -VM: 454T vsize, 6144M framework vsize, 2843921(0) swapins, 4729331(0) swapouts. -Networks: packets: 190245179/161G in, 145633207/163G out. -Disks: 97561084/2475G read, 117298099/2098G written. - -PID COMMAND %CPU #TH -99753 mscamerad-xpc 0.0 2 -99752 PlugInLibrarySer 0.0 2 -99750 QuickLookUIServi 0.0 3 -99749 com.apple.appkit 0.0 3 -99710 PlugInLibrarySer 0.0 2 -99709 Preview 0.0 4 -99428 crashpad_handler 0.0 4 -98995 crashpad_handler 0.0 4 -Processes: 1029 total, 9 running, 1020 sleeping, 5311 threads -2026/09/27 00:09:06 -Load Avg: 2.84, 3.47, 4.10 -CPU usage: 15.54% user, 11.8% sys, 73.37% idle -SharedLibs: 914M resident, 168M data, 135M linkedit. -MemRegions: 33 total, 80K resident, 741M private, 4226M shared. -PhysMem: 34G used (4371M wired, 632M compressor), 1526M unused. -VM: 455T vsize, 6144M framework vsize, 2843921(0) swapins, 4729331(0) swapouts. -Networks: packets: 190245522/161G in, 145633548/163G out. -Disks: 97561090/2475G read, 117298104/2098G written. - -PID COMMAND %CPU #TH -70968 Superset Helper 33.8 32 -590 WindowServer 31.2 29/1 -0 kernel_task 15.1 850/14 -70969 Superset 14.9 23 -70942 Superset Helper 9.4 18 -70934 Superset 7.9 51 -89777 top 6.0 1/1 -554 opendirectoryd 4.5 9/1 diff --git a/dev/research/metal_pathfinding/results/aba/load-b.txt b/dev/research/metal_pathfinding/results/aba/load-b.txt deleted file mode 100644 index c761959..0000000 --- a/dev/research/metal_pathfinding/results/aba/load-b.txt +++ /dev/null @@ -1,40 +0,0 @@ -Processes: 1028 total, 2 running, 1026 sleeping, 5258 threads -2026/09/27 00:08:33 -Load Avg: 2.69, 3.51, 4.14 -CPU usage: 4.4% user, 9.48% sys, 86.46% idle -SharedLibs: 914M resident, 168M data, 135M linkedit. -MemRegions: 638285 total, 10G resident, 741M private, 4228M shared. -PhysMem: 34G used (4218M wired, 632M compressor), 1622M unused. -VM: 454T vsize, 6144M framework vsize, 2843921(0) swapins, 4729331(0) swapouts. -Networks: packets: 190237774/161G in, 145624667/163G out. -Disks: 97549658/2475G read, 117296556/2098G written. - -PID COMMAND %CPU #TH -99753 mscamerad-xpc 0.0 2 -99752 PlugInLibrarySer 0.0 2 -99750 QuickLookUIServi 0.0 3 -99749 com.apple.appkit 0.0 3 -99710 PlugInLibrarySer 0.0 2 -99709 Preview 0.0 4 -99428 crashpad_handler 0.0 4 -98995 crashpad_handler 0.0 4 -Processes: 1027 total, 2 running, 1025 sleeping, 5243 threads -2026/09/27 00:08:34 -Load Avg: 2.69, 3.51, 4.14 -CPU usage: 5.44% user, 3.79% sys, 90.75% idle -SharedLibs: 914M resident, 168M data, 135M linkedit. -MemRegions: 0 total, 0B resident, 741M private, 4228M shared. -PhysMem: 33G used (4259M wired, 632M compressor), 1761M unused. -VM: 452T vsize, 6144M framework vsize, 2843921(0) swapins, 4729331(0) swapouts. -Networks: packets: 190237907/161G in, 145624794/163G out. -Disks: 97549658/2475G read, 117296557/2098G written. - -PID COMMAND %CPU #TH -70968 Superset Helper 18.0 32 -590 WindowServer 17.7 29 -0 kernel_task 11.5 850/14 -81804 2.1.283 8.8 27 -84786 top 8.5 1/1 -70942 Superset Helper 7.0 19 -39757 codex 4.0 36 -21666 2.1.283 3.5 28 diff --git a/dev/research/metal_pathfinding/results/aba/summary.md b/dev/research/metal_pathfinding/results/aba/summary.md deleted file mode 100644 index 3f5a20f..0000000 --- a/dev/research/metal_pathfinding/results/aba/summary.md +++ /dev/null @@ -1,74 +0,0 @@ -Exploratory observations, not a production performance acceptance result. -Inspect load-*.txt and gpu-load-*.txt; speedup claims require a quiet machine. -The prototype matches supported DAG edge sets, not CPU predecessor order. - -All times are medians in milliseconds per batch, with nine timed samples. -CPU A columns use serial SPF for Q=1 and the 10-worker pool otherwise. -GPU includes host distance copies and serial CPU ECMP DAG reconstruction. -Upload and pipeline setup are excluded and recorded separately in raw data. -The table picks the fastest measured GPU method for each case. - -| Case | V / E | Q | CPU A1 | GPU B | CPU A2 | GPU method | Distance-only B | CPU drift | -|---|---:|---:|---:|---:|---:|---|---:|---:| -| random | 128 / 1,024 | 1 | 0.031 | 0.242 | 0.010 | metal_shared | 0.239 | -67.4% | -| random | 128 / 1,024 | 64 | 0.234 | 0.527 | 0.162 | metal_shared | 0.291 | -30.7% | -| random | 1,024 / 8,192 | 1 | 0.145 | 0.707 | 0.115 | metal_pull | 0.673 | -21.0% | -| random | 1,024 / 8,192 | 64 | 1.273 | 3.384 | 1.330 | metal_group | 1.054 | +4.5% | -| fabric | 288 / 16,384 | 1 | 0.107 | 0.585 | 0.110 | metal_pull | 0.524 | +3.0% | -| fabric | 288 / 16,384 | 64 | 1.011 | 4.538 | 0.992 | metal_group | 1.189 | -1.9% | -| grid | 1,024 / 3,968 | 1 | 0.037 | 0.374 | 0.045 | metal_shared | 0.359 | +22.8% | -| grid | 1,024 / 3,968 | 64 | 0.498 | 1.724 | 0.556 | metal_group | 0.854 | +11.6% | -| chain | 256 / 255 | 1 | 0.002 | 0.225 | 0.003 | metal_group | 0.224 | +13.0% | -| random_masked_int64_reverse | 1,024 / 8,192 | 8 | 0.150 | 0.523 | 0.149 | metal_pull | 0.135 | -0.2% | -| random | 4,096 / 32,768 | 1 | 0.641 | 0.458 | 0.665 | metal_pull | 0.326 | +3.8% | -| random | 4,096 / 32,768 | 64 | 5.984 | 12.983 | 5.952 | metal_group | 3.123 | -0.5% | -| random | 4,096 / 32,768 | 256 | 23.461 | 47.235 | 23.387 | metal_group | 8.932 | -0.3% | -| random | 16,384 / 131,072 | 1 | 4.095 | 1.529 | 3.915 | metal_pull | 0.892 | -4.4% | -| random | 16,384 / 131,072 | 64 | 28.290 | 54.004 | 28.429 | metal_group | 9.176 | +0.5% | -| random | 65,536 / 524,288 | 1 | 20.762 | 4.922 | 22.345 | metal_pull | 1.921 | +7.6% | -| random | 65,536 / 524,288 | 64 | 174.082 | 277.240 | 189.990 | metal_group | 78.233 | +9.1% | -| chain | 2,048 / 2,047 | 1 | 0.020 | 4.804 | 0.020 | metal_group | 4.793 | -1.1% | -| random | 4,096 / 131,072 | 1 | 1.762 | 0.843 | 1.763 | metal_pull | 0.452 | +0.0% | -| random | 4,096 / 131,072 | 64 | 12.774 | 35.626 | 12.923 | metal_group | 7.957 | +1.2% | -| clos | 200 / 20,000 | 1 | 0.146 | 0.254 | 0.144 | metal_shared | 0.190 | -1.4% | -| clos | 200 / 20,000 | 64 | 1.181 | 5.015 | 1.699 | metal_shared | 0.885 | +43.9% | -| clos | 800 / 320,000 | 1 | 2.330 | 2.590 | 2.368 | metal_shared | 1.607 | +1.6% | -| clos | 800 / 320,000 | 64 | 17.462 | 72.452 | 17.634 | metal_shared | 5.681 | +1.0% | -| grid | 10,000 / 39,600 | 1 | 0.614 | 5.349 | 0.616 | metal_pull | 5.217 | +0.4% | -| grid | 10,000 / 39,600 | 8 | 0.829 | 6.016 | 0.818 | metal_pull | 4.933 | -1.3% | -| grid | 40,000 / 159,200 | 1 | 2.913 | 8.408 | 2.937 | metal_pull | 7.867 | +0.9% | - -Distance-only timings stop before DAG reconstruction; they are not SPF API timings. -CPU distance-only and serial full-batch controls are also available in a1/a2.csv. - -Distances-only comparison (both sides omit DAG construction): - -| Case | V / E | Q | CPU A1 | GPU B | CPU A2 | GPU method | -|---|---:|---:|---:|---:|---:|---| -| random | 128 / 1,024 | 1 | 0.011 | 0.239 | 0.005 | metal_shared | -| random | 128 / 1,024 | 64 | 0.126 | 0.291 | 0.102 | metal_shared | -| random | 1,024 / 8,192 | 1 | 0.080 | 0.673 | 0.056 | metal_pull | -| random | 1,024 / 8,192 | 64 | 0.634 | 1.054 | 0.657 | metal_group | -| fabric | 288 / 16,384 | 1 | 0.022 | 0.524 | 0.022 | metal_pull | -| fabric | 288 / 16,384 | 64 | 0.194 | 1.168 | 0.219 | metal_shared | -| grid | 1,024 / 3,968 | 1 | 0.010 | 0.359 | 0.012 | metal_shared | -| grid | 1,024 / 3,968 | 64 | 0.146 | 0.854 | 0.157 | metal_group | -| chain | 256 / 255 | 1 | 0.001 | 0.224 | 0.001 | metal_group | -| random_masked_int64_reverse | 1,024 / 8,192 | 8 | 0.093 | 0.135 | 0.095 | metal_pull | -| random | 4,096 / 32,768 | 1 | 0.305 | 0.326 | 0.322 | metal_pull | -| random | 4,096 / 32,768 | 64 | 2.968 | 3.123 | 2.946 | metal_group | -| random | 4,096 / 32,768 | 256 | 12.019 | 8.932 | 11.368 | metal_group | -| random | 16,384 / 131,072 | 1 | 2.076 | 0.892 | 1.960 | metal_pull | -| random | 16,384 / 131,072 | 64 | 14.898 | 9.176 | 15.059 | metal_group | -| random | 65,536 / 524,288 | 1 | 10.450 | 1.921 | 11.777 | metal_pull | -| random | 65,536 / 524,288 | 64 | 85.846 | 78.233 | 93.938 | metal_group | -| chain | 2,048 / 2,047 | 1 | 0.004 | 4.793 | 0.004 | metal_group | -| random | 4,096 / 131,072 | 1 | 0.665 | 0.452 | 0.681 | metal_pull | -| random | 4,096 / 131,072 | 64 | 5.610 | 7.957 | 5.638 | metal_group | -| clos | 200 / 20,000 | 1 | 0.024 | 0.190 | 0.024 | metal_shared | -| clos | 200 / 20,000 | 64 | 0.211 | 0.832 | 0.208 | metal_group | -| clos | 800 / 320,000 | 1 | 0.356 | 1.607 | 0.355 | metal_shared | -| clos | 800 / 320,000 | 64 | 2.672 | 5.681 | 2.661 | metal_shared | -| grid | 10,000 / 39,600 | 1 | 0.175 | 5.217 | 0.183 | metal_pull | -| grid | 10,000 / 39,600 | 8 | 0.247 | 4.933 | 0.246 | metal_pull | -| grid | 40,000 / 159,200 | 1 | 0.863 | 7.867 | 0.878 | metal_pull | diff --git a/dev/research/metal_pathfinding/results/audit.json b/dev/research/metal_pathfinding/results/audit.json deleted file mode 100644 index a218315..0000000 --- a/dev/research/metal_pathfinding/results/audit.json +++ /dev/null @@ -1,44 +0,0 @@ -{ - "a1": { - "rows": 108, - "queries_checked_including_warmups": 40744 - }, - "b": { - "rows": 68, - "queries_checked_including_warmups": 24761 - }, - "a2": { - "rows": 108, - "queries_checked_including_warmups": 40744 - }, - "correctness.csv": { - "rows": 36, - "queries_checked_including_warmups": 1152 - }, - "correctness-sanitized.csv": { - "rows": 36, - "queries_checked_including_warmups": 1152 - }, - "stress.csv": { - "rows": 6, - "queries_checked_including_warmups": 39168 - }, - "stress-sanitized.csv": { - "rows": 6, - "queries_checked_including_warmups": 8448 - }, - "cpu-sanitized.csv": { - "rows": 40, - "queries_checked_including_warmups": 3228 - }, - "experiment.mm_sha256": "1da9ff77bd2ad97e95e951454821b25005859c6f75c27a3c56d925e5fc99f6fc", - "sssp.metal_sha256": "2e36b1623a3940bf1f19f5d81141bb1def14f5873fe2a98aab0101bbe68618a3", - "core_commit": "fbab119e794c843838f4f3f96d75cb7f32f06845", - "quiet_machine_gate_passed": false, - "performance_claim_approved": false, - "ci_run": false, - "production_backend_added": false, - "core_cpp_tests": 170, - "core_python_tests": 465, - "core_sanitizer_tests": 170 -} diff --git a/dev/research/metal_pathfinding/results/capabilities.txt b/dev/research/metal_pathfinding/results/capabilities.txt deleted file mode 100644 index 95b9ad1..0000000 --- a/dev/research/metal_pathfinding/results/capabilities.txt +++ /dev/null @@ -1,31 +0,0 @@ -device=Apple M4 Max unified=1 max_buffer=22613000192 -probe=0 compiled=1 -probe=1 compiled=0 -program_source:3:25: error: 'double' is not supported in Metal -kernel void test(device double* x [[buffer(0)]], uint i [[thread_position_in_grid]]) { x[i] += 1.0; } - ^ - -probe=2 compiled=0 -program_source:3:58: error: no matching function for call to 'atomic_fetch_min_explicit' -kernel void test(device atomic_ulong* x [[buffer(0)]]) { atomic_fetch_min_explicit(x, 1ul, memory_order_relaxed); } - ^~~~~~~~~~~~~~~~~~~~~~~~~ -/System/Library/PrivateFrameworks/GPUCompiler.framework/Versions/32023/Libraries/lib/clang/32023.886/include/metal/metal_atomic:552:14: note: candidate template ignored: requirement '_valid_fetch_min_type::value' was not satisfied [with T = unsigned long, U = unsigned long] -METAL_FUNC T atomic_fetch_min_explicit( - ^ -/System/Library/PrivateFrameworks/GPUCompiler.framework/Versions/32023/Libraries/lib/clang/32023.886/include/metal/metal_atomic:560:14: note: candidate template ignored: requirement '_valid_fetch_min_type::value' was not satisfied [with T = unsigned long, U = unsigned long] -METAL_FUNC T atomic_fetch_min_explicit( - ^ - -probe=3 compiled=1 -probe=4 compiled=1 -probe=5 compiled=0 -program_source:3:96: error: no matching function for call to 'atomic_load_explicit' -kernel void test(device atomic_ulong* x [[buffer(0)]], device ulong* y [[buffer(1)]]) { y[0] = atomic_load_explicit(x, memory_order_relaxed); } - ^~~~~~~~~~~~~~~~~~~~ -/System/Library/PrivateFrameworks/GPUCompiler.framework/Versions/32023/Libraries/lib/clang/32023.886/include/metal/metal_atomic:240:14: note: candidate template ignored: requirement '_valid_load_type::value' was not satisfied [with T = unsigned long] -METAL_FUNC T atomic_load_explicit( - ^ -/System/Library/PrivateFrameworks/GPUCompiler.framework/Versions/32023/Libraries/lib/clang/32023.886/include/metal/metal_atomic:247:14: note: candidate template ignored: requirement '_valid_load_type::value' was not satisfied [with T = unsigned long] -METAL_FUNC T atomic_load_explicit( - ^ - diff --git a/dev/research/metal_pathfinding/results/correctness-sanitized.csv b/dev/research/metal_pathfinding/results/correctness-sanitized.csv deleted file mode 100644 index a77e150..0000000 --- a/dev/research/metal_pathfinding/results/correctness-sanitized.csv +++ /dev/null @@ -1,37 +0,0 @@ -case,n,e,queries,method,wall_ms,gpu_ms,distance_wall_ms,upload_ms,rounds,samples,correct,exact_order_queries,wall_samples_ms -random_masked_int64,40,240,8,metal_pull,1.263750,0.395000,1.205458,0.053958,8,2,pass,7,1.263750;0.901542 -random_masked_int64,40,240,8,metal_group,0.652583,0.283916,0.607084,0.053958,6,2,pass,7,0.617708;0.652583 -random_masked_int64,40,240,8,metal_shared,0.951500,0.198250,0.906541,0.053958,6,2,pass,7,0.860042;0.951500 -random_masked,43,258,8,metal_pull,1.944458,0.886917,1.892250,0.033375,16,2,pass,0,1.755792;1.944458 -random_masked,43,258,8,metal_group,0.756125,0.419417,0.707625,0.033375,9,2,pass,0,0.756125;0.754584 -random_masked,43,258,8,metal_shared,0.661750,0.313667,0.615750,0.033375,9,2,pass,0,0.661750;0.640542 -random_masked_int64_reverse,46,276,8,metal_pull,0.567792,0.068875,0.519583,0.023333,8,2,pass,1,0.567792;0.486209 -random_masked_int64_reverse,46,276,8,metal_group,0.468083,0.033042,0.422375,0.023333,5,2,pass,1,0.393167;0.468083 -random_masked_int64_reverse,46,276,8,metal_shared,0.370541,0.027708,0.323542,0.023333,5,2,pass,1,0.363958;0.370541 -random_masked,49,294,8,metal_pull,0.528250,0.096292,0.480834,0.022084,8,2,pass,2,0.528250;0.518416 -random_masked,49,294,8,metal_group,0.450542,0.078042,0.397875,0.022084,8,2,pass,2,0.430209;0.450542 -random_masked,49,294,8,metal_shared,0.382750,0.060834,0.333750,0.022084,8,2,pass,2,0.382750;0.373667 -random_masked_int64,52,312,8,metal_pull,0.583250,0.108417,0.531208,0.024708,8,2,pass,7,0.583250;0.549291 -random_masked_int64,52,312,8,metal_group,0.568667,0.062125,0.516500,0.024708,6,2,pass,7,0.568667;0.434666 -random_masked_int64,52,312,8,metal_shared,0.390209,0.050000,0.336334,0.024708,6,2,pass,7,0.390209;0.381666 -random_masked_reverse,55,330,8,metal_pull,0.955500,0.137167,0.904750,0.024250,16,2,pass,0,0.932875;0.955500 -random_masked_reverse,55,330,8,metal_group,0.400375,0.056750,0.342417,0.024250,10,2,pass,0,0.388125;0.400375 -random_masked_reverse,55,330,8,metal_shared,0.516750,0.046250,0.459417,0.024250,10,2,pass,0,0.498875;0.516750 -random_masked_int64,58,348,8,metal_pull,0.521208,0.088875,0.463542,0.028666,8,2,pass,7,0.521208;0.514292 -random_masked_int64,58,348,8,metal_group,0.375292,0.045500,0.314708,0.028666,5,2,pass,7,0.375292;0.371792 -random_masked_int64,58,348,8,metal_shared,0.372625,0.039250,0.314083,0.028666,5,2,pass,7,0.369333;0.372625 -random_masked,61,366,8,metal_pull,1.079708,0.210875,1.013334,0.021459,16,2,pass,1,1.034542;1.079708 -random_masked,61,366,8,metal_group,0.427291,0.089750,0.367750,0.021459,9,2,pass,1,0.427291;0.422917 -random_masked,61,366,8,metal_shared,0.399166,0.071916,0.342667,0.021459,9,2,pass,1,0.399166;0.389709 -random_masked_int64_reverse,64,384,8,metal_pull,0.487667,0.070375,0.426917,0.023333,8,2,pass,1,0.483333;0.487667 -random_masked_int64_reverse,64,384,8,metal_group,0.373917,0.033750,0.314708,0.023333,5,2,pass,1,0.364750;0.373917 -random_masked_int64_reverse,64,384,8,metal_shared,0.374791,0.027750,0.315333,0.023333,5,2,pass,1,0.374791;0.344833 -random_masked,67,402,8,metal_pull,0.648583,0.089542,0.517833,0.027542,8,2,pass,0,0.523500;0.648583 -random_masked,67,402,8,metal_group,0.459166,0.066708,0.391292,0.027542,8,2,pass,0,0.459166;0.427208 -random_masked,67,402,8,metal_shared,0.461292,0.123750,0.397750,0.027542,8,2,pass,0,0.441083;0.461292 -random_masked_int64,70,420,8,metal_pull,0.568167,0.100208,0.484084,0.023667,8,2,pass,3,0.568167;0.519291 -random_masked_int64,70,420,8,metal_group,0.412083,0.060250,0.350416,0.023667,6,2,pass,3,0.400500;0.412083 -random_masked_int64,70,420,8,metal_shared,0.675834,0.206875,0.605291,0.023667,6,2,pass,3,0.675834;0.557083 -random_masked_reverse,73,438,8,metal_pull,1.424125,0.585833,1.358291,0.028083,16,2,pass,0,1.424125;1.365500 -random_masked_reverse,73,438,8,metal_group,0.718042,0.249750,0.652875,0.028083,10,2,pass,0,0.623667;0.718042 -random_masked_reverse,73,438,8,metal_shared,0.596708,0.202250,0.526333,0.028083,10,2,pass,0,0.596708;0.561417 diff --git a/dev/research/metal_pathfinding/results/correctness-stderr.txt b/dev/research/metal_pathfinding/results/correctness-stderr.txt deleted file mode 100644 index 0c58358..0000000 --- a/dev/research/metal_pathfinding/results/correctness-stderr.txt +++ /dev/null @@ -1 +0,0 @@ -device=Apple M4 Max setup_ms=23.9988 execution_width=32 diff --git a/dev/research/metal_pathfinding/results/correctness.csv b/dev/research/metal_pathfinding/results/correctness.csv deleted file mode 100644 index ab8100c..0000000 --- a/dev/research/metal_pathfinding/results/correctness.csv +++ /dev/null @@ -1,37 +0,0 @@ -case,n,e,queries,method,wall_ms,gpu_ms,distance_wall_ms,upload_ms,rounds,samples,correct,exact_order_queries,wall_samples_ms -random_masked_int64,40,240,8,metal_pull,0.295708,0.129833,0.277459,0.016125,8,2,pass,7,0.295708;0.284042 -random_masked_int64,40,240,8,metal_group,0.210458,0.068708,0.203291,0.016125,6,2,pass,7,0.191750;0.210458 -random_masked_int64,40,240,8,metal_shared,0.587333,0.074583,0.580834,0.016125,6,2,pass,7,0.495125;0.587333 -random_masked,43,258,8,metal_pull,0.841500,0.289833,0.833625,0.023083,16,2,pass,0,0.841500;0.760584 -random_masked,43,258,8,metal_group,0.232041,0.105375,0.223667,0.023083,9,2,pass,0,0.232041;0.230958 -random_masked,43,258,8,metal_shared,0.225208,0.099375,0.218333,0.023083,9,2,pass,0,0.223292;0.225208 -random_masked_int64_reverse,46,276,8,metal_pull,0.547208,0.104125,0.527583,0.027750,8,2,pass,1,0.232750;0.547208 -random_masked_int64_reverse,46,276,8,metal_group,0.175709,0.044708,0.168125,0.027750,5,2,pass,1,0.172292;0.175709 -random_masked_int64_reverse,46,276,8,metal_shared,0.180708,0.042125,0.173916,0.027750,5,2,pass,1,0.180708;0.180334 -random_masked,49,294,8,metal_pull,0.273208,0.125083,0.253625,0.018125,8,2,pass,2,0.261041;0.273208 -random_masked,49,294,8,metal_group,0.236250,0.093750,0.227083,0.018125,8,2,pass,2,0.226666;0.236250 -random_masked,49,294,8,metal_shared,0.222125,0.088000,0.213500,0.018125,8,2,pass,2,0.222125;0.222125 -random_masked_int64,52,312,8,metal_pull,0.289833,0.150542,0.280541,0.017708,8,2,pass,7,0.276834;0.289833 -random_masked_int64,52,312,8,metal_group,0.212750,0.077125,0.194041,0.017708,6,2,pass,7,0.212750;0.205125 -random_masked_int64,52,312,8,metal_shared,0.204459,0.072667,0.196167,0.017708,6,2,pass,7,0.203125;0.204459 -random_masked_reverse,55,330,8,metal_pull,0.457667,0.212375,0.447292,0.017084,16,2,pass,0,0.457667;0.437583 -random_masked_reverse,55,330,8,metal_group,0.200458,0.074208,0.192000,0.017084,10,2,pass,0,0.200458;0.193541 -random_masked_reverse,55,330,8,metal_shared,0.184667,0.069417,0.176000,0.017084,10,2,pass,0,0.184667;0.183125 -random_masked_int64,58,348,8,metal_pull,0.266375,0.117667,0.256625,0.013333,8,2,pass,7,0.250167;0.266375 -random_masked_int64,58,348,8,metal_group,0.180209,0.057667,0.170667,0.013333,5,2,pass,7,0.180209;0.177625 -random_masked_int64,58,348,8,metal_shared,0.248583,0.142375,0.239083,0.013333,5,2,pass,7,0.248583;0.183667 -random_masked,61,366,8,metal_pull,0.525791,0.273333,0.515166,0.015292,16,2,pass,1,0.525791;0.515458 -random_masked,61,366,8,metal_group,0.236833,0.110000,0.226958,0.015292,9,2,pass,1,0.233750;0.236833 -random_masked,61,366,8,metal_shared,0.227042,0.103208,0.217375,0.015292,9,2,pass,1,0.227042;0.225792 -random_masked_int64_reverse,64,384,8,metal_pull,0.374125,0.102208,0.359166,0.012708,8,2,pass,1,0.374125;0.239125 -random_masked_int64_reverse,64,384,8,metal_group,0.222541,0.045000,0.167750,0.012708,5,2,pass,1,0.222541;0.190041 -random_masked_int64_reverse,64,384,8,metal_shared,0.187667,0.042625,0.173541,0.012708,5,2,pass,1,0.183959;0.187667 -random_masked,67,402,8,metal_pull,0.260875,0.118875,0.248459,0.019167,8,2,pass,0,0.248834;0.260875 -random_masked,67,402,8,metal_group,0.250791,0.084792,0.227666,0.019167,8,2,pass,0,0.223333;0.250791 -random_masked,67,402,8,metal_shared,0.267833,0.079750,0.256333,0.019167,8,2,pass,0,0.267833;0.215541 -random_masked_int64,70,420,8,metal_pull,0.397708,0.232000,0.379083,0.020375,8,2,pass,3,0.390583;0.397708 -random_masked_int64,70,420,8,metal_group,0.253125,0.075250,0.220625,0.020375,6,2,pass,3,0.242750;0.253125 -random_masked_int64,70,420,8,metal_shared,0.242166,0.071083,0.213625,0.020375,6,2,pass,3,0.221834;0.242166 -random_masked_reverse,73,438,8,metal_pull,1.053542,0.734042,1.034042,0.031625,16,2,pass,0,1.053542;0.504542 -random_masked_reverse,73,438,8,metal_group,0.240750,0.073791,0.227708,0.031625,10,2,pass,0,0.240750;0.221834 -random_masked_reverse,73,438,8,metal_shared,0.269792,0.069167,0.226000,0.031625,10,2,pass,0,0.269792;0.250833 diff --git a/dev/research/metal_pathfinding/results/cpu-sanitized.csv b/dev/research/metal_pathfinding/results/cpu-sanitized.csv deleted file mode 100644 index 84f0bcf..0000000 --- a/dev/research/metal_pathfinding/results/cpu-sanitized.csv +++ /dev/null @@ -1,41 +0,0 @@ -case,n,e,queries,method,wall_ms,gpu_ms,distance_wall_ms,upload_ms,rounds,samples,correct,exact_order_queries,wall_samples_ms -random,128,1024,1,cpu_full,0.097375,0.000000,0.097375,0.000000,0,1,pass,1,0.097375 -random,128,1024,1,cpu_distance,0.030375,0.000000,0.030375,0.000000,0,1,pass,0,0.030375 -random,128,1024,1,cpu_pool10,0.166000,0.000000,0.166000,0.000000,0,1,pass,1,0.166000 -random,128,1024,1,cpu_pool10_distance,0.077291,0.000000,0.077291,0.000000,0,1,pass,0,0.077291 -random,128,1024,64,cpu_full,4.778583,0.000000,4.778583,0.000000,0,1,pass,64,4.778583 -random,128,1024,64,cpu_distance,1.507292,0.000000,1.507292,0.000000,0,1,pass,0,1.507292 -random,128,1024,64,cpu_pool10,0.686542,0.000000,0.686542,0.000000,0,1,pass,64,0.686542 -random,128,1024,64,cpu_pool10_distance,0.330625,0.000000,0.330625,0.000000,0,1,pass,0,0.330625 -random,1024,8192,1,cpu_full,0.539375,0.000000,0.539375,0.000000,0,1,pass,1,0.539375 -random,1024,8192,1,cpu_distance,0.188375,0.000000,0.188375,0.000000,0,1,pass,0,0.188375 -random,1024,8192,1,cpu_pool10,0.586917,0.000000,0.586917,0.000000,0,1,pass,1,0.586917 -random,1024,8192,1,cpu_pool10_distance,0.240834,0.000000,0.240834,0.000000,0,1,pass,0,0.240834 -random,1024,8192,64,cpu_full,34.944792,0.000000,34.944792,0.000000,0,1,pass,64,34.944792 -random,1024,8192,64,cpu_distance,13.138375,0.000000,13.138375,0.000000,0,1,pass,0,13.138375 -random,1024,8192,64,cpu_pool10,4.126666,0.000000,4.126666,0.000000,0,1,pass,64,4.126666 -random,1024,8192,64,cpu_pool10_distance,1.569333,0.000000,1.569333,0.000000,0,1,pass,0,1.569333 -fabric,288,16384,1,cpu_full,0.859542,0.000000,0.859542,0.000000,0,1,pass,1,0.859542 -fabric,288,16384,1,cpu_distance,0.116792,0.000000,0.116792,0.000000,0,1,pass,0,0.116792 -fabric,288,16384,1,cpu_pool10,0.838292,0.000000,0.838292,0.000000,0,1,pass,1,0.838292 -fabric,288,16384,1,cpu_pool10_distance,0.132208,0.000000,0.132208,0.000000,0,1,pass,0,0.132208 -fabric,288,16384,64,cpu_full,55.711541,0.000000,55.711541,0.000000,0,1,pass,64,55.711541 -fabric,288,16384,64,cpu_distance,8.051041,0.000000,8.051041,0.000000,0,1,pass,0,8.051041 -fabric,288,16384,64,cpu_pool10,6.186542,0.000000,6.186542,0.000000,0,1,pass,64,6.186542 -fabric,288,16384,64,cpu_pool10_distance,0.728208,0.000000,0.728208,0.000000,0,1,pass,0,0.728208 -grid,1024,3968,1,cpu_full,0.292625,0.000000,0.292625,0.000000,0,1,pass,1,0.292625 -grid,1024,3968,1,cpu_distance,0.067333,0.000000,0.067333,0.000000,0,1,pass,0,0.067333 -grid,1024,3968,1,cpu_pool10,0.291583,0.000000,0.291583,0.000000,0,1,pass,1,0.291583 -grid,1024,3968,1,cpu_pool10_distance,0.096125,0.000000,0.096125,0.000000,0,1,pass,0,0.096125 -grid,1024,3968,64,cpu_full,18.959167,0.000000,18.959167,0.000000,0,1,pass,64,18.959167 -grid,1024,3968,64,cpu_distance,4.468167,0.000000,4.468167,0.000000,0,1,pass,0,4.468167 -grid,1024,3968,64,cpu_pool10,2.241042,0.000000,2.241042,0.000000,0,1,pass,64,2.241042 -grid,1024,3968,64,cpu_pool10_distance,0.553875,0.000000,0.553875,0.000000,0,1,pass,0,0.553875 -chain,256,255,1,cpu_full,0.026584,0.000000,0.026584,0.000000,0,1,pass,1,0.026584 -chain,256,255,1,cpu_distance,0.007542,0.000000,0.007542,0.000000,0,1,pass,0,0.007542 -chain,256,255,1,cpu_pool10,0.055416,0.000000,0.055416,0.000000,0,1,pass,1,0.055416 -chain,256,255,1,cpu_pool10_distance,0.031166,0.000000,0.031166,0.000000,0,1,pass,0,0.031166 -random_masked_int64_reverse,1024,8192,8,cpu_full,2.706625,0.000000,2.706625,0.000000,0,1,pass,8,2.706625 -random_masked_int64_reverse,1024,8192,8,cpu_distance,0.929791,0.000000,0.929791,0.000000,0,1,pass,0,0.929791 -random_masked_int64_reverse,1024,8192,8,cpu_pool10,0.434375,0.000000,0.434375,0.000000,0,1,pass,8,0.434375 -random_masked_int64_reverse,1024,8192,8,cpu_pool10_distance,0.197500,0.000000,0.197500,0.000000,0,1,pass,0,0.197500 diff --git a/dev/research/metal_pathfinding/results/cpu-validation.txt b/dev/research/metal_pathfinding/results/cpu-validation.txt deleted file mode 100644 index e69de29..0000000 diff --git a/dev/research/metal_pathfinding/results/rejected-race/a1-stderr.txt b/dev/research/metal_pathfinding/results/rejected-race/a1-stderr.txt deleted file mode 100644 index e69de29..0000000 diff --git a/dev/research/metal_pathfinding/results/rejected-race/a1.csv b/dev/research/metal_pathfinding/results/rejected-race/a1.csv deleted file mode 100644 index 40a48a5..0000000 --- a/dev/research/metal_pathfinding/results/rejected-race/a1.csv +++ /dev/null @@ -1,82 +0,0 @@ -case,n,e,queries,method,wall_ms,gpu_ms,distance_wall_ms,upload_ms,rounds,samples,correct,exact_order_queries,wall_samples_ms -random,128,1024,1,cpu_full,0.009666,0.000000,0.009666,0.000000,0,9,pass,1,0.010500;0.011750;0.010709;0.009666;0.009375;0.010292;0.009458;0.009292;0.009375 -random,128,1024,1,cpu_distance,0.004750,0.000000,0.004750,0.000000,0,9,pass,0,0.004750;0.004875;0.006167;0.004583;0.004333;0.006292;0.005542;0.004583;0.004458 -random,128,1024,1,cpu_pool10,0.038167,0.000000,0.038167,0.000000,0,9,pass,1,0.062375;0.040667;0.050667;0.038167;0.043250;0.036875;0.035292;0.028667;0.034958 -random,128,1024,64,cpu_full,0.800000,0.000000,0.800000,0.000000,0,9,pass,64,0.907541;0.878042;0.845291;0.835625;0.800000;0.788042;0.781792;0.784208;0.773458 -random,128,1024,64,cpu_distance,0.396125,0.000000,0.396125,0.000000,0,9,pass,0,0.442208;0.424833;0.404792;0.394959;0.390000;0.399083;0.396125;0.387125;0.386542 -random,128,1024,64,cpu_pool10,0.170208,0.000000,0.170208,0.000000,0,9,pass,64,0.172209;0.167500;0.174958;0.158834;0.170208;0.166500;0.161167;0.198625;0.181000 -random,1024,8192,1,cpu_full,0.099084,0.000000,0.099084,0.000000,0,9,pass,1,0.103500;0.101375;0.098542;0.099209;0.097667;0.099417;0.099041;0.097583;0.099084 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-grid,10000,39600,1,cpu_pool10,0.709500,0.000000,0.709500,0.000000,0,9,pass,1,0.648792;0.709500;0.644084;0.637708;0.703416;0.730292;0.742167;0.750208;0.759833 -grid,10000,39600,8,cpu_full,5.845667,0.000000,5.845667,0.000000,0,9,pass,8,5.580833;5.744125;6.192083;5.945000;6.019250;6.081042;5.845667;5.556583;5.503542 -grid,10000,39600,8,cpu_distance,1.600833,0.000000,1.600833,0.000000,0,9,pass,0,1.679667;1.590959;1.575791;1.578458;1.564791;1.768875;1.621541;1.605458;1.600833 -grid,10000,39600,8,cpu_pool10,1.225333,0.000000,1.225333,0.000000,0,9,pass,8,0.858459;0.821167;0.901125;1.336292;1.225333;1.265792;1.339875;1.428417;1.167250 -grid,40000,159200,1,cpu_full,3.005208,0.000000,3.005208,0.000000,0,9,pass,1,3.052750;3.039291;3.014625;2.943125;2.901375;2.935542;3.052791;2.982208;3.005208 -grid,40000,159200,1,cpu_distance,0.861333,0.000000,0.861333,0.000000,0,9,pass,0,0.865708;0.860334;0.861333;0.857000;0.863750;0.860375;0.859708;0.953250;0.933792 -grid,40000,159200,1,cpu_pool10,3.089417,0.000000,3.089417,0.000000,0,9,pass,1,3.089417;2.962667;2.994000;3.129125;3.048042;3.150875;3.102834;2.986583;3.166417 diff --git a/dev/research/metal_pathfinding/results/rejected-race/b-stderr.txt b/dev/research/metal_pathfinding/results/rejected-race/b-stderr.txt deleted file mode 100644 index 7806da3..0000000 --- a/dev/research/metal_pathfinding/results/rejected-race/b-stderr.txt +++ /dev/null @@ -1,2 +0,0 @@ -device=Apple M4 Max setup_ms=29.6173 execution_width=32 -FAIL: distance mismatch at query 59 diff --git a/dev/research/metal_pathfinding/results/rejected-race/b.csv b/dev/research/metal_pathfinding/results/rejected-race/b.csv deleted file mode 100644 index 9126f3c..0000000 --- a/dev/research/metal_pathfinding/results/rejected-race/b.csv +++ /dev/null @@ -1,23 +0,0 @@ -case,n,e,queries,method,wall_ms,gpu_ms,distance_wall_ms,upload_ms,rounds,samples,correct,exact_order_queries,wall_samples_ms -random,128,1024,1,metal_pull,0.816458,0.307250,0.812917,0.019833,16,9,pass,0,0.592208;0.819542;0.819458;0.816458;0.901334;0.811084;0.817583;0.560375;0.555250 -random,128,1024,1,metal_group,0.249250,0.129500,0.245459,0.019833,9,9,pass,0,0.269541;0.249250;0.257125;0.247125;0.242083;0.247875;0.248792;0.251792;0.253833 -random,128,1024,1,metal_shared,0.271792,0.122250,0.267583,0.019833,9,9,pass,0,0.268500;0.485333;0.264667;0.495959;0.361625;0.271792;0.494625;0.270625;0.244917 -random,128,1024,64,metal_pull,0.878042,0.346833,0.616208,0.061167,16,9,pass,0,0.898375;0.871459;0.857708;0.866667;0.878208;0.863583;0.878042;0.909083;0.938750 -random,128,1024,64,metal_group,0.569875,0.178625,0.308000,0.061167,13,9,pass,0,0.555916;0.559583;0.596000;0.651334;0.581583;0.575791;0.569875;0.567708;0.563708 -random,128,1024,64,metal_shared,0.537708,0.168042,0.295042,0.061167,13,9,pass,0,0.548917;0.549375;0.567167;0.531750;0.537708;0.601708;0.531583;0.516333;0.532208 -random,1024,8192,1,metal_pull,0.676250,0.397875,0.641792,0.083584,16,9,pass,0,0.703584;0.701583;0.679083;0.676250;0.663709;0.722417;0.666791;0.667666;0.656167 -random,1024,8192,1,metal_group,0.842583,0.678083,0.809167,0.083584,13,9,pass,0,1.298250;0.830208;0.842583;0.845167;0.841125;0.837417;0.840041;0.845750;0.852083 -random,1024,8192,1,metal_shared,0.811125,0.637792,0.775833,0.083584,13,9,pass,0,0.819959;0.808292;0.812000;0.811125;0.798291;0.811250;0.809458;0.813041;0.801084 -random,1024,8192,64,metal_pull,4.685833,1.546416,2.311167,0.097167,24,9,pass,0,4.668167;4.401916;5.264625;4.813000;4.743792;4.685833;4.779792;4.610958;4.660625 -random,1024,8192,64,metal_group,3.703708,0.886125,1.335375,0.097167,17,9,pass,0,3.703708;3.667417;3.495459;3.551833;3.825667;3.801500;3.883542;3.540250;3.747000 -random,1024,8192,64,metal_shared,3.640583,0.831125,1.256917,0.097167,17,9,pass,0,3.393333;3.665417;3.607333;3.547959;3.653458;3.624833;3.640583;3.653792;3.644208 -fabric,288,16384,1,metal_pull,1.831416,1.649458,1.774709,0.121750,8,9,pass,0,1.831416;1.898416;1.873500;1.825333;1.838958;1.826833;1.808167;2.394584;1.186584 -fabric,288,16384,1,metal_group,0.754041,0.575708,0.697125,0.121750,3,9,pass,0,0.759167;0.756791;0.754041;0.866458;0.763750;0.600625;0.514000;0.504291;0.568208 -fabric,288,16384,1,metal_shared,0.700750,0.507750,0.643667,0.121750,3,9,pass,0,0.749250;0.750541;0.729708;0.735500;0.700750;0.500625;0.499959;0.504042;0.564667 -fabric,288,16384,64,metal_pull,5.854333,1.801583,2.349125,0.128458,8,9,pass,0,5.230666;5.573292;6.165708;5.854333;5.898959;5.926500;5.789875;6.005459;5.788750 -fabric,288,16384,64,metal_group,4.626000,0.643250,1.182875,0.128458,3,9,pass,0,4.626000;4.593708;4.322292;4.596375;4.634209;4.741584;4.599625;4.722167;4.693709 -fabric,288,16384,64,metal_shared,4.613333,0.621375,1.159000,0.128458,3,9,pass,0,4.405417;4.666458;4.603375;4.603334;4.613333;4.720250;4.403458;4.680416;4.707125 -grid,1024,3968,1,metal_pull,1.759875,0.653875,1.743750,0.060083,64,9,pass,0,2.030541;1.759875;1.747459;2.255083;1.600958;2.206875;1.709500;1.800334;1.600042 -grid,1024,3968,1,metal_group,1.156208,1.000000,1.139875,0.060083,63,9,pass,0,1.154667;1.164959;1.157417;1.147209;1.134917;1.148125;1.156208;1.665167;1.197417 -grid,1024,3968,1,metal_shared,0.486500,0.345750,0.469042,0.060083,63,9,pass,0,0.498750;0.507834;0.482208;0.486500;0.488375;0.488166;0.465291;0.485917;0.467125 -grid,1024,3968,64,metal_pull,3.018000,0.569042,2.047500,0.095667,64,9,pass,0,3.018000;2.953667;3.431208;2.733709;2.995208;2.668375;3.199958;3.169250;3.109583 diff --git a/dev/research/metal_pathfinding/results/rejected-race/environment.txt b/dev/research/metal_pathfinding/results/rejected-race/environment.txt deleted file mode 100644 index 6fc5908..0000000 --- a/dev/research/metal_pathfinding/results/rejected-race/environment.txt +++ /dev/null @@ -1,17 +0,0 @@ -2026-09-26T23:00:02Z -fbab119e794c843838f4f3f96d75cb7f32f06845 -ProductName: macOS -ProductVersion: 26.6.1 -BuildVersion: 25G76 -Apple M4 Max -38654705664 -14 -Apple clang version 21.0.0 (clang-2100.1.1.101) -Target: arm64-apple-darwin25.6.0 -Thread model: posix -InstalledDir: /Library/Developer/CommandLineTools/usr/bin -c7d33ce878a8f0f1a6822efff641c8fdf0514edabcb521cfe7ae3044e56170d7 dev/research/metal_pathfinding/experiment.mm -bd5f14bdb079c40a4e0ef26ab4d48e16b8c63b830858a53a18445a2addc2b480 dev/research/metal_pathfinding/sssp.metal -Note: No thermal warning level has been recorded -Note: No performance warning level has been recorded -Note: No CPU power status has been recorded diff --git a/dev/research/metal_pathfinding/results/rejected-race/load-a1.txt b/dev/research/metal_pathfinding/results/rejected-race/load-a1.txt deleted file mode 100644 index 9e27631..0000000 --- a/dev/research/metal_pathfinding/results/rejected-race/load-a1.txt +++ /dev/null @@ -1,40 +0,0 @@ -Processes: 1025 total, 4 running, 1021 sleeping, 5327 threads -2026/09/27 00:00:02 -Load Avg: 3.96, 4.55, 4.69 -CPU usage: 16.11% user, 13.13% sys, 70.74% idle -SharedLibs: 914M resident, 168M data, 135M linkedit. -MemRegions: 639741 total, 10G resident, 737M private, 4343M shared. -PhysMem: 35G used (4508M wired, 633M compressor), 577M unused. -VM: 453T vsize, 6144M framework vsize, 2843881(0) swapins, 4729331(0) swapouts. -Networks: packets: 190075863/161G in, 145485402/163G out. -Disks: 97533882/2474G read, 117262731/2097G written. - -PID COMMAND %CPU #TH -99753 mscamerad-xpc 0.0 2 -99752 PlugInLibrarySer 0.0 2 -99750 QuickLookUIServi 0.0 3 -99749 com.apple.appkit 0.0 3 -99710 PlugInLibrarySer 0.0 2 -99709 Preview 0.0 4 -99428 crashpad_handler 0.0 4 -98995 crashpad_handler 0.0 4 -Processes: 1027 total, 3 running, 1024 sleeping, 5343 threads -2026/09/27 00:00:03 -Load Avg: 3.96, 4.55, 4.69 -CPU usage: 11.46% user, 5.96% sys, 82.56% idle -SharedLibs: 914M resident, 168M data, 135M linkedit. -MemRegions: 204 total, 26M resident, 737M private, 4344M shared. -PhysMem: 34G used (4463M wired, 633M compressor), 634M unused. -VM: 454T vsize, 6144M framework vsize, 2843881(0) swapins, 4729331(0) swapouts. -Networks: packets: 190075966/161G in, 145485507/163G out. -Disks: 97534168/2474G read, 117262748/2097G written. - -PID COMMAND %CPU #TH -590 WindowServer 30.6 28 -1331 NotificationCent 17.7 17 -70968 Superset Helper 16.5 32 -0 kernel_task 15.9 850/14 -70942 Superset Helper 6.2 19 -45949 top 5.9 1/1 -39196 PerfPowerService 5.3 8 -70934 Superset 3.4 51 diff --git a/dev/research/metal_pathfinding/results/rejected-race/load-b.txt b/dev/research/metal_pathfinding/results/rejected-race/load-b.txt deleted file mode 100644 index 592e523..0000000 --- a/dev/research/metal_pathfinding/results/rejected-race/load-b.txt +++ /dev/null @@ -1,40 +0,0 @@ -Processes: 1026 total, 4 running, 1022 sleeping, 5280 threads -2026/09/27 00:01:03 -Load Avg: 4.62, 4.67, 4.73 -CPU usage: 14.6% user, 9.18% sys, 76.75% idle -SharedLibs: 914M resident, 167M data, 135M linkedit. -MemRegions: 676023 total, 10G resident, 736M private, 4305M shared. -PhysMem: 34G used (4015M wired, 633M compressor), 891M unused. -VM: 458T vsize, 6144M framework vsize, 2843881(0) swapins, 4729331(0) swapouts. -Networks: packets: 190086917/161G in, 145497019/163G out. -Disks: 97535297/2474G read, 117266119/2097G written. - -PID COMMAND %CPU #TH -99753 mscamerad-xpc 0.0 2 -99752 PlugInLibrarySer 0.0 2 -99750 QuickLookUIServi 0.0 3 -99749 com.apple.appkit 0.0 3 -99710 PlugInLibrarySer 0.0 2 -99709 Preview 0.0 4 -99428 crashpad_handler 0.0 4 -98995 crashpad_handler 0.0 4 -Processes: 1026 total, 3 running, 1023 sleeping, 5287 threads -2026/09/27 00:01:04 -Load Avg: 4.62, 4.67, 4.73 -CPU usage: 12.45% user, 3.0% sys, 84.54% idle -SharedLibs: 914M resident, 167M data, 135M linkedit. -MemRegions: 0 total, 0B resident, 736M private, 4305M shared. -PhysMem: 34G used (4054M wired, 633M compressor), 911M unused. -VM: 458T vsize, 6144M framework vsize, 2843881(0) swapins, 4729331(0) swapouts. -Networks: packets: 190087017/161G in, 145497121/163G out. -Disks: 97535298/2474G read, 117266121/2097G written. - -PID COMMAND %CPU #TH -48825 Python 73.0 1/1 -590 WindowServer 25.5 28 -70968 Superset Helper 20.9 32 -0 kernel_task 10.0 850/15 -70942 Superset Helper 7.6 18 -21666 2.1.283 6.5 28 -48902 top 6.3 1/1 -70934 Superset 3.8 51 diff --git a/dev/research/metal_pathfinding/results/rejected-race/pre-fix-smoke.csv b/dev/research/metal_pathfinding/results/rejected-race/pre-fix-smoke.csv deleted file mode 100644 index bbcfc40..0000000 --- a/dev/research/metal_pathfinding/results/rejected-race/pre-fix-smoke.csv +++ /dev/null @@ -1,21 +0,0 @@ -case,n,e,queries,method,wall_ms,gpu_ms,distance_wall_ms,upload_ms,rounds,samples,correct -random,128,1024,1,metal_pull,0.614208,0.304625,0.606959,0.053541,16,3,pass -random,128,1024,1,metal_group,0.310458,0.129667,0.307333,0.053541,9,3,pass -random,128,1024,64,metal_pull,0.886292,0.347083,0.624083,0.055542,16,3,pass -random,128,1024,64,metal_group,0.570625,0.177500,0.315042,0.055542,13,3,pass -random,1024,8192,1,metal_pull,0.704750,0.398333,0.662834,0.078125,16,3,pass -random,1024,8192,1,metal_group,0.862250,0.722333,0.827125,0.078125,13,3,pass -random,1024,8192,64,metal_pull,4.660125,1.654750,2.257041,0.088125,24,3,pass -random,1024,8192,64,metal_group,3.771334,0.891792,1.350084,0.088125,17,3,pass -fabric,288,16384,1,metal_pull,1.844583,1.652417,1.794125,0.118167,8,3,pass -fabric,288,16384,1,metal_group,0.790083,0.583125,0.732959,0.118167,3,3,pass -fabric,288,16384,64,metal_pull,5.691166,1.800708,2.326167,0.114166,8,3,pass -fabric,288,16384,64,metal_group,4.476125,0.652125,1.174042,0.114166,3,3,pass -grid,1024,3968,1,metal_pull,1.953792,0.654417,1.936833,0.073500,64,3,pass -grid,1024,3968,1,metal_group,1.172875,1.000375,1.159500,0.073500,63,3,pass -grid,1024,3968,64,metal_pull,3.767584,1.438375,2.877834,0.084959,64,3,pass -grid,1024,3968,64,metal_group,2.245667,0.944250,1.384000,0.084959,63,3,pass -chain,256,255,1,metal_pull,6.148250,1.919250,6.146208,0.065667,256,3,pass -chain,256,255,1,metal_group,0.701417,0.575583,0.699959,0.065667,256,3,pass -random_masked_int64_reverse,1024,8192,8,metal_pull,0.689167,0.133750,0.271792,0.088000,8,3,pass -random_masked_int64_reverse,1024,8192,8,metal_group,0.792458,0.241500,0.385917,0.088000,8,3,pass diff --git a/dev/research/metal_pathfinding/results/sanitize-test.txt b/dev/research/metal_pathfinding/results/sanitize-test.txt deleted file mode 100644 index 20e81e8..0000000 --- a/dev/research/metal_pathfinding/results/sanitize-test.txt +++ /dev/null @@ -1,372 +0,0 @@ --- pybind11 not found via config; using FetchContent --- pybind11 v3.0.0 --- Enabling sanitizers (disables optimizations) --- Configuring done (0.6s) --- Generating done (0.0s) --- Build files have been written to: /Users/networmix/ws/NetGraph-Core/build/cpp-sanitize -[1/21] Building CXX object CMakeFiles/netgraph_core.dir/src/strict_multidigraph.cpp.o -[2/21] Building CXX object CMakeFiles/netgraph_core.dir/src/k_shortest_paths.cpp.o -[3/21] Building CXX object CMakeFiles/netgraph_core.dir/src/shortest_paths.cpp.o -[4/21] Building CXX object CMakeFiles/netgraph_core.dir/src/max_flow.cpp.o -[5/21] Building CXX object CMakeFiles/netgraph_core.dir/src/cpu_backend.cpp.o -[6/21] Building CXX object CMakeFiles/netgraph_core.dir/src/flow_state.cpp.o -[7/21] Building CXX object CMakeFiles/netgraph_core.dir/src/flow_graph.cpp.o -[8/21] Building CXX object CMakeFiles/netgraph_core.dir/src/flow_policy.cpp.o -[9/21] Building CXX object CMakeFiles/netgraph_core_tests.dir/tests/cpp/smoke_test.cpp.o -[10/21] Building CXX object CMakeFiles/netgraph_core_tests.dir/tests/cpp/strict_multidigraph_tests.cpp.o -[11/21] Building CXX object CMakeFiles/netgraph_core_tests.dir/tests/cpp/flow_policy_tests.cpp.o -[12/21] Building CXX object CMakeFiles/netgraph_core_tests.dir/tests/cpp/shortest_paths_tests.cpp.o -[13/21] Building CXX object CMakeFiles/netgraph_core_tests.dir/tests/cpp/flow_state_tests.cpp.o -[14/21] Building CXX object CMakeFiles/netgraph_core_tests.dir/tests/cpp/flow_graph_tests.cpp.o -[15/21] Linking CXX static library libnetgraph_core.a -[16/21] Building CXX object CMakeFiles/netgraph_core_tests.dir/tests/cpp/max_flow_tests.cpp.o -[17/21] Building CXX object CMakeFiles/netgraph_core_tests.dir/tests/cpp/k_shortest_paths_tests.cpp.o -[18/21] Building CXX object CMakeFiles/netgraph_core_tests.dir/tests/cpp/masking_tests.cpp.o -[19/21] Linking CXX executable netgraph_core_tests -[20/21] Building CXX object CMakeFiles/_netgraph_core.dir/bindings/python/module.cpp.o -[21/21] Linking CXX shared module _netgraph_core.cpython-314-darwin.so -Test project /Users/networmix/ws/NetGraph-Core/build/cpp-sanitize - Start 93: FlowGraphStamp.CopiesAndMovesGetFreshUids - Start 94: FlowGraphStamp.EqualVersionDivergentCopiesCompareUnequal - Start 16: FlowPolicyCostBounds.MaxPathCostFactor_HugeProduct_DropsBoundInsteadOfWrapping - Start 15: FlowPolicyCostBounds.MaxPathCostFactor_UnreachableDst_KeepsSentinelOutOfTheCast - 1/170 Test #93: FlowGraphStamp.CopiesAndMovesGetFreshUids ......................................... Passed 0.06 sec - 2/170 Test #94: FlowGraphStamp.EqualVersionDivergentCopiesCompareUnequal .......................... Passed 0.06 sec - 3/170 Test #16: FlowPolicyCostBounds.MaxPathCostFactor_HugeProduct_DropsBoundInsteadOfWrapping .... Passed 0.06 sec - Start 47: ShortestPaths.ResolveToPathsWithMaxPathsLimit - Start 46: ShortestPaths.ResolveToPathsSplittingParallelEdges - Start 11: FlowPolicyCore.EqualBalanced_ShortestPath_IgnoresHigherCostTier - 4/170 Test #15: FlowPolicyCostBounds.MaxPathCostFactor_UnreachableDst_KeepsSentinelOutOfTheCast ... Passed 0.06 sec - Start 43: ShortestPaths.PredDAGIntegrity - 5/170 Test #11: FlowPolicyCore.EqualBalanced_ShortestPath_IgnoresHigherCostTier ................... Passed 0.06 sec - Start 18: StrictMultiDiGraph.SingleNode - 6/170 Test #46: ShortestPaths.ResolveToPathsSplittingParallelEdges ................................ Passed 0.06 sec - 7/170 Test #43: ShortestPaths.PredDAGIntegrity .................................................... Passed 0.06 sec - Start 45: ShortestPaths.PreferHigherResidualTieBreak - Start 30: StrictMultiDiGraph.OutOfRangeNodeThrows - 8/170 Test #47: ShortestPaths.ResolveToPathsWithMaxPathsLimit ..................................... Passed 0.06 sec - Start 38: ShortestPaths.MultipleEqualCostPaths - 9/170 Test #45: ShortestPaths.PreferHigherResidualTieBreak ........................................ Passed 0.06 sec - Start 41: ShortestPaths.EdgeMaskFiltering - 10/170 Test #18: StrictMultiDiGraph.SingleNode ..................................................... Passed 0.06 sec - 11/170 Test #30: StrictMultiDiGraph.OutOfRangeNodeThrows ........................................... Passed 0.06 sec - 12/170 Test #38: ShortestPaths.MultipleEqualCostPaths .............................................. Passed 0.06 sec - Start 130: MaxFlow.Sensitivity_TwoParallelPaths - Start 103: MaxFlow.ECMP_FourPaths_ClosFabric_Simulation - Start 31: StrictMultiDiGraph.NegativeCapacityThrows - 13/170 Test #41: ShortestPaths.EdgeMaskFiltering ................................................... Passed 0.06 sec - Start 28: StrictMultiDiGraph.MismatchedArrayLengthsThrow - 14/170 Test #130: MaxFlow.Sensitivity_TwoParallelPaths .............................................. Passed 0.06 sec - Start 71: FlowState.EqualBalanced_ECMP3_FirstHopEqualization - 15/170 Test #103: MaxFlow.ECMP_FourPaths_ClosFabric_Simulation ...................................... Passed 0.06 sec - 16/170 Test #31: StrictMultiDiGraph.NegativeCapacityThrows ......................................... Passed 0.06 sec - Start 109: MaxFlow.ZeroCapacityPath_CorrectFiltering - Start 147: MaskingTests.MaskedSourceWithDestination - 17/170 Test #28: StrictMultiDiGraph.MismatchedArrayLengthsThrow .................................... Passed 0.06 sec - Start 152: MaskingTests.MaskedIntermediateNode - 18/170 Test #71: FlowState.EqualBalanced_ECMP3_FirstHopEqualization ................................ Passed 0.06 sec - 19/170 Test #109: MaxFlow.ZeroCapacityPath_CorrectFiltering ......................................... Passed 0.06 sec - 20/170 Test #147: MaskingTests.MaskedSourceWithDestination .......................................... Passed 0.06 sec - Start 12: FlowPolicyStatic.PerFlowBundleBinding - Start 112: MaxFlow.EqualCost_ShortestVsFull_Equivalent - Start 5: FlowPolicyCore.Proportional_SingleDemand_PartialPlacement_InsufficientCapacity - 21/170 Test #152: MaskingTests.MaskedIntermediateNode ............................................... Passed 0.06 sec - Start 122: MaxFlow.GridGraph_3x3_MultipleEqualCostPaths - 22/170 Test #12: FlowPolicyStatic.PerFlowBundleBinding ............................................. Passed 0.06 sec - Start 68: FlowState.ResetWithInvalidResidualThrows - 23/170 Test #112: MaxFlow.EqualCost_ShortestVsFull_Equivalent ....................................... Passed 0.06 sec - 24/170 Test #5: FlowPolicyCore.Proportional_SingleDemand_PartialPlacement_InsufficientCapacity .... Passed 0.06 sec - Start 44: ShortestPaths.TieBreakingDeterminism - Start 39: ShortestPaths.ResidualAwareFiltering - 25/170 Test #122: MaxFlow.GridGraph_3x3_MultipleEqualCostPaths ...................................... Passed 0.07 sec - Start 4: FlowPolicyCore.Proportional_SingleDemand_MaxFlowCount1_UsesSinglePath - 26/170 Test #44: ShortestPaths.TieBreakingDeterminism .............................................. Passed 0.07 sec - Start 108: MaxFlow.EqualBalanced_NodeMask_ReducesECMPWidth - 27/170 Test #39: ShortestPaths.ResidualAwareFiltering .............................................. Passed 0.07 sec - Start 73: FlowState.EqualBalanced_DownstreamSplitEqualization - 28/170 Test #68: FlowState.ResetWithInvalidResidualThrows .......................................... Passed 0.07 sec - Start 137: KShortestPaths.NodeMaskBlocksPaths - 29/170 Test #4: FlowPolicyCore.Proportional_SingleDemand_MaxFlowCount1_UsesSinglePath ............. Passed 0.07 sec - Start 72: FlowState.EqualBalanced_MinFlowGating_DoesNotPruneValidParallelEdges - 30/170 Test #73: FlowState.EqualBalanced_DownstreamSplitEqualization ............................... Passed 0.06 sec - Start 107: MaxFlow.AsymmetricCapacity_1to100_EqualBalanced - 31/170 Test #108: MaxFlow.EqualBalanced_NodeMask_ReducesECMPWidth ................................... Passed 0.06 sec - 32/170 Test #137: KShortestPaths.NodeMaskBlocksPaths ................................................ Passed 0.06 sec - Start 140: KShortestPaths.PathsSortedByCost - Start 36: ShortestPaths.SingleSourceAllNodes - 33/170 Test #72: FlowState.EqualBalanced_MinFlowGating_DoesNotPruneValidParallelEdges .............. Passed 0.06 sec - Start 158: MaskingTests.MaskWithResidualCapacity - 34/170 Test #107: MaxFlow.AsymmetricCapacity_1to100_EqualBalanced ................................... Passed 0.06 sec - 35/170 Test #140: KShortestPaths.PathsSortedByCost .................................................. Passed 0.06 sec - 36/170 Test #36: ShortestPaths.SingleSourceAllNodes ................................................ Passed 0.06 sec - Start 148: MaskingTests.MaskedSourceInMaxFlow - Start 113: MaxFlow.ThreeCostTiers_ShortestPath_LowestTierOnly - Start 157: MaskingTests.NodeMaskOverridesEdgeMask - 37/170 Test #158: MaskingTests.MaskWithResidualCapacity ............................................. Passed 0.06 sec - Start 146: MaskingTests.MaskedSourceReturnsEmptyDAG - 38/170 Test #148: MaskingTests.MaskedSourceInMaxFlow ................................................ Passed 0.06 sec - 39/170 Test #113: MaxFlow.ThreeCostTiers_ShortestPath_LowestTierOnly ................................ Passed 0.06 sec - 40/170 Test #157: MaskingTests.NodeMaskOverridesEdgeMask ............................................ Passed 0.06 sec - Start 1: GraphSmoke.ConstructAndRunSPF - Start 24: StrictMultiDiGraph.CSRReverseAdjacency - Start 67: FlowState.InvalidResidualInitThrows - 41/170 Test #146: MaskingTests.MaskedSourceReturnsEmptyDAG .......................................... Passed 0.07 sec - 42/170 Test #1: GraphSmoke.ConstructAndRunSPF ..................................................... Passed 0.06 sec - 43/170 Test #24: StrictMultiDiGraph.CSRReverseAdjacency ............................................ Passed 0.06 sec - Start 92: FlowGraph.LedgerMicroFlows_RemovalRestoresResidual - Start 10: FlowPolicyCore.EqualBalanced_ShortestPath_DownstreamSplit_BalancesBottleneck - Start 40: ShortestPaths.NodeMaskIsolation - 44/170 Test #67: FlowState.InvalidResidualInitThrows ............................................... Passed 0.07 sec - Start 123: MaxFlow.SharedBottleneck_MultiplePathsMerge - 45/170 Test #40: ShortestPaths.NodeMaskIsolation ................................................... Passed 0.06 sec - Start 22: StrictMultiDiGraph.ExternalEdgeIdsPreserved - 46/170 Test #10: FlowPolicyCore.EqualBalanced_ShortestPath_DownstreamSplit_BalancesBottleneck ...... Passed 0.06 sec - 47/170 Test #123: MaxFlow.SharedBottleneck_MultiplePathsMerge ....................................... Passed 0.06 sec - Start 74: FlowState.EqualBalanced_ZeroCapacityOnShortestPath_ReturnsZero - Start 20: StrictMultiDiGraph.ParallelEdges - 48/170 Test #92: FlowGraph.LedgerMicroFlows_RemovalRestoresResidual ................................ Passed 0.07 sec - Start 115: MaxFlow.FlowConservation_IntermediateNodes - 49/170 Test #74: FlowState.EqualBalanced_ZeroCapacityOnShortestPath_ReturnsZero .................... Passed 0.07 sec - Start 91: FlowGraph.LedgerHistory_RemovalRestoresResidual - 50/170 Test #22: StrictMultiDiGraph.ExternalEdgeIdsPreserved ....................................... Passed 0.07 sec - 51/170 Test #20: StrictMultiDiGraph.ParallelEdges .................................................. Passed 0.07 sec - Start 35: StrictMultiDiGraph.MultipleCostTiers - Start 33: StrictMultiDiGraph.SelfLoopAllowed - 52/170 Test #115: MaxFlow.FlowConservation_IntermediateNodes ........................................ Passed 0.07 sec - Start 9: FlowPolicyCore.EqualBalanced_ShortestPath_ECMP3_SaturatesAllEqualCostPaths - 53/170 Test #33: StrictMultiDiGraph.SelfLoopAllowed ................................................ Passed 0.07 sec - Start 29: StrictMultiDiGraph.ExtEdgeIdsWrongLengthThrows - 54/170 Test #91: FlowGraph.LedgerHistory_RemovalRestoresResidual ................................... Passed 0.07 sec - 55/170 Test #35: StrictMultiDiGraph.MultipleCostTiers .............................................. Passed 0.07 sec - Start 2: FlowPolicyCore.Proportional_SingleDemand_UsesShortestPath - Start 75: FlowState.Proportional_ZeroCapacityOnShortestPath_ReturnsZero - 56/170 Test #9: FlowPolicyCore.EqualBalanced_ShortestPath_ECMP3_SaturatesAllEqualCostPaths ........ Passed 0.06 sec - Start 101: MaxFlow.ECMP_TwoPaths_EqualBalanced_ShortestPath - 57/170 Test #2: FlowPolicyCore.Proportional_SingleDemand_UsesShortestPath ......................... Passed 0.07 sec - Start 145: KSP.MaxCostFactorBelowOne_ReturnsEmptyForAllK - 58/170 Test #29: StrictMultiDiGraph.ExtEdgeIdsWrongLengthThrows .................................... Passed 0.07 sec - 59/170 Test #75: FlowState.Proportional_ZeroCapacityOnShortestPath_ReturnsZero ..................... Passed 0.07 sec - Start 119: MaxFlow.NodeMask_BlocksFlowThroughNode - Start 134: MaxFlow.CompletionPhase_RespectsNodeMask - 60/170 Test #101: MaxFlow.ECMP_TwoPaths_EqualBalanced_ShortestPath .................................. Passed 0.07 sec - Start 126: MaxFlow.Triangle_Topology_Combine_Mode - 61/170 Test #145: KSP.MaxCostFactorBelowOne_ReturnsEmptyForAllK ..................................... Passed 0.07 sec - Start 167: MaskingTests.AllNodesMaskedNoReachability - 62/170 Test #119: MaxFlow.NodeMask_BlocksFlowThroughNode ............................................ Passed 0.07 sec - 63/170 Test #134: MaxFlow.CompletionPhase_RespectsNodeMask .......................................... Passed 0.07 sec - Start 21: StrictMultiDiGraph.EdgeSortingByCost - Start 19: StrictMultiDiGraph.SingleEdge - 64/170 Test #126: MaxFlow.Triangle_Topology_Combine_Mode ............................................ Passed 0.07 sec - Start 17: StrictMultiDiGraph.EmptyGraph - 65/170 Test #21: StrictMultiDiGraph.EdgeSortingByCost .............................................. Passed 0.07 sec - Start 14: FlowPolicyStatic.ValidationRejectsForeignAndDisconnectedBundles - 66/170 Test #167: MaskingTests.AllNodesMaskedNoReachability ......................................... Passed 0.07 sec - 67/170 Test #19: StrictMultiDiGraph.SingleEdge ..................................................... Passed 0.07 sec - Start 151: MaskingTests.MaskedDestinationUnreachable - Start 37: ShortestPaths.DisconnectedComponents - 68/170 Test #17: StrictMultiDiGraph.EmptyGraph ..................................................... Passed 0.07 sec - Start 100: MaxFlow.ECMP_TwoPaths_Proportional_FullMaxFlow - 69/170 Test #14: FlowPolicyStatic.ValidationRejectsForeignAndDisconnectedBundles ................... Passed 0.07 sec - Start 106: MaxFlow.AsymmetricCapacity_1to1M_NumericalStability - 70/170 Test #151: MaskingTests.MaskedDestinationUnreachable ......................................... Passed 0.07 sec - 71/170 Test #37: ShortestPaths.DisconnectedComponents .............................................. Passed 0.07 sec - Start 99: MaxFlow.ECMP_TwoPaths_Proportional_ShortestPath - Start 85: FlowGraph.RemovalDeletesEntry - 72/170 Test #100: MaxFlow.ECMP_TwoPaths_Proportional_FullMaxFlow .................................... Passed 0.07 sec - Start 114: MaxFlow.PlacementModes_EqualCapacity_IdenticalResult - 73/170 Test #99: MaxFlow.ECMP_TwoPaths_Proportional_ShortestPath ................................... Passed 0.07 sec - Start 89: FlowGraph.GetFlowPathForDAGReturnsEmpty - 74/170 Test #106: MaxFlow.AsymmetricCapacity_1to1M_NumericalStability ............................... Passed 0.07 sec - 75/170 Test #85: FlowGraph.RemovalDeletesEntry ..................................................... Passed 0.07 sec - Start 13: FlowPolicyStatic.MaskedBundleIsDown - Start 139: KShortestPaths.MaxCostFactorLimit - 76/170 Test #114: MaxFlow.PlacementModes_EqualCapacity_IdenticalResult .............................. Passed 0.07 sec - Start 135: KShortestPaths.FindsKPaths - 77/170 Test #13: FlowPolicyStatic.MaskedBundleIsDown ............................................... Passed 0.07 sec - Start 149: MaskingTests.MaskedSourceInComputeMinCut - 78/170 Test #89: FlowGraph.GetFlowPathForDAGReturnsEmpty ........................................... Passed 0.07 sec - 79/170 Test #139: KShortestPaths.MaxCostFactorLimit ................................................. Passed 0.07 sec - 80/170 Test #135: KShortestPaths.FindsKPaths ........................................................ Passed 0.07 sec - Start 96: MaxFlow.SinglePath_BottleneckConstraint - Start 27: StrictMultiDiGraph.InvalidNumNodesThrows - Start 63: FlowState.ApplyDeltasSubtractive - 81/170 Test #27: StrictMultiDiGraph.InvalidNumNodesThrows .......................................... Passed 0.07 sec - Start 170: MaskingTests.AlgorithmsAPIMaxFlowWithMask - 82/170 Test #149: MaskingTests.MaskedSourceInComputeMinCut .......................................... Passed 0.07 sec - 83/170 Test #96: MaxFlow.SinglePath_BottleneckConstraint ........................................... Passed 0.07 sec - 84/170 Test #63: FlowState.ApplyDeltasSubtractive .................................................. Passed 0.07 sec - Start 110: MaxFlow.TwoCostTiers_ShortestPath_SingleTierOnly - Start 160: MaskingTests.KSPWithNodeMask - Start 6: FlowPolicyCore.EqualBalanced_SingleDemand_FlowCount2_BalancedDistribution - 85/170 Test #170: MaskingTests.AlgorithmsAPIMaxFlowWithMask ......................................... Passed 0.07 sec - 86/170 Test #160: MaskingTests.KSPWithNodeMask ...................................................... Passed 0.07 sec - 87/170 Test #6: FlowPolicyCore.EqualBalanced_SingleDemand_FlowCount2_BalancedDistribution ......... Passed 0.07 sec - Start 144: KShortestPaths.LargerOutOfOrderTopology - Start 23: StrictMultiDiGraph.CSROffsetsMonotonicity - Start 8: FlowPolicyCore.DiminishingReturnsCutoff - 88/170 Test #110: MaxFlow.TwoCostTiers_ShortestPath_SingleTierOnly .................................. Passed 0.07 sec - Start 97: MaxFlow.SinglePath_ShortestPathEquivalence - 89/170 Test #144: KShortestPaths.LargerOutOfOrderTopology ........................................... Passed 0.07 sec - 90/170 Test #8: FlowPolicyCore.DiminishingReturnsCutoff ........................................... Passed 0.07 sec - Start 156: MaskingTests.CombinedNodeAndEdgeMasks - Start 169: MaskingTests.AlgorithmsAPIMaskedSource - 91/170 Test #23: StrictMultiDiGraph.CSROffsetsMonotonicity ......................................... Passed 0.07 sec - 92/170 Test #97: MaxFlow.SinglePath_ShortestPathEquivalence ........................................ Passed 0.07 sec - Start 117: MaxFlow.CostDistribution_AccountsForAllFlow - Start 86: FlowGraph.RemoveByClassFiltersCorrectly - 93/170 Test #117: MaxFlow.CostDistribution_AccountsForAllFlow ....................................... Passed 0.07 sec - Start 136: KShortestPaths.KEqualsZeroReturnsEmpty - 94/170 Test #156: MaskingTests.CombinedNodeAndEdgeMasks ............................................. Passed 0.08 sec - 95/170 Test #169: MaskingTests.AlgorithmsAPIMaskedSource ............................................ Passed 0.08 sec - 96/170 Test #86: FlowGraph.RemoveByClassFiltersCorrectly ........................................... Passed 0.08 sec - Start 104: MaxFlow.ECMP_TenPaths_ScalabilityValidation - Start 132: MaxFlow.Sensitivity_ShortestPathVsMaxFlow - Start 120: MaxFlow.EdgeMask_SelectiveEdgeFiltering - 97/170 Test #136: KShortestPaths.KEqualsZeroReturnsEmpty ............................................ Passed 0.07 sec - Start 124: MaxFlow.Clos_3Tier_Topology_Proportional_Shortest - 98/170 Test #104: MaxFlow.ECMP_TenPaths_ScalabilityValidation ....................................... Passed 0.07 sec - 99/170 Test #132: MaxFlow.Sensitivity_ShortestPathVsMaxFlow ......................................... Passed 0.07 sec -100/170 Test #120: MaxFlow.EdgeMask_SelectiveEdgeFiltering ........................................... Passed 0.07 sec - Start 65: FlowState.ResetRestoresCapacity - Start 49: ShortestPaths.RejectsMaskLengthMismatch - Start 133: MaxFlow.CompletionPhase_RecoversCancellation -101/170 Test #65: FlowState.ResetRestoresCapacity ................................................... Passed 0.07 sec - Start 165: MaskingTests.EmptyNodeMaskAllowsAllNodes -102/170 Test #124: MaxFlow.Clos_3Tier_Topology_Proportional_Shortest ................................. Passed 0.07 sec -103/170 Test #49: ShortestPaths.RejectsMaskLengthMismatch ........................................... Passed 0.07 sec - Start 111: MaxFlow.TwoCostTiers_FullMaxFlow_AllTiers - Start 129: MaxFlow.Sensitivity_SinglePath -104/170 Test #133: MaxFlow.CompletionPhase_RecoversCancellation ...................................... Passed 0.07 sec - Start 161: MaskingTests.KSPWithEdgeMask -105/170 Test #165: MaskingTests.EmptyNodeMaskAllowsAllNodes .......................................... Passed 0.07 sec - Start 32: StrictMultiDiGraph.NegativeCostThrows -106/170 Test #111: MaxFlow.TwoCostTiers_FullMaxFlow_AllTiers ......................................... Passed 0.07 sec -107/170 Test #129: MaxFlow.Sensitivity_SinglePath .................................................... Passed 0.07 sec -108/170 Test #161: MaskingTests.KSPWithEdgeMask ...................................................... Passed 0.07 sec - Start 66: FlowState.CustomInitialResidual - Start 42: ShortestPaths.EarlyExitOptimization - Start 88: FlowGraph.GetFlowPathForLinearFlow -109/170 Test #66: FlowState.CustomInitialResidual ................................................... Passed 0.07 sec - Start 25: StrictMultiDiGraph.MaxCapacityEdges -110/170 Test #32: StrictMultiDiGraph.NegativeCostThrows ............................................. Passed 0.07 sec -111/170 Test #42: ShortestPaths.EarlyExitOptimization ............................................... Passed 0.07 sec -112/170 Test #88: FlowGraph.GetFlowPathForLinearFlow ................................................ Passed 0.07 sec - Start 168: MaskingTests.AllEdgesMaskedNoReachability - Start 142: KShortestPaths.LooplessPaths - Start 138: KShortestPaths.UniqueModeFiltering -113/170 Test #25: StrictMultiDiGraph.MaxCapacityEdges ............................................... Passed 0.07 sec -114/170 Test #138: KShortestPaths.UniqueModeFiltering ................................................ Passed 0.07 sec - Start 7: FlowPolicyCore.EqualBalanced_SingleDemand_FlowCount3_SaturatesBothPaths - Start 3: FlowPolicyCore.Proportional_SingleDemand_SplitsAcrossTwoEqualCostPaths -115/170 Test #168: MaskingTests.AllEdgesMaskedNoReachability ......................................... Passed 0.07 sec -116/170 Test #142: KShortestPaths.LooplessPaths ...................................................... Passed 0.07 sec - Start 159: MaskingTests.ResidualAndNodeMaskCombined - Start 143: KShortestPaths.OutOfOrderNodePredDAGSemantics -117/170 Test #7: FlowPolicyCore.EqualBalanced_SingleDemand_FlowCount3_SaturatesBothPaths ........... Passed 0.07 sec -118/170 Test #159: MaskingTests.ResidualAndNodeMaskCombined .......................................... Passed 0.07 sec - Start 62: FlowState.ApplyDeltasAdditive - Start 131: MaxFlow.Sensitivity_PartialSaturation -119/170 Test #3: FlowPolicyCore.Proportional_SingleDemand_SplitsAcrossTwoEqualCostPaths ............ Passed 0.07 sec -120/170 Test #143: KShortestPaths.OutOfOrderNodePredDAGSemantics ..................................... Passed 0.07 sec - Start 83: FlowGraph.EmptyLedgerInitially - Start 84: FlowGraph.PlacementCreatesEntry -121/170 Test #83: FlowGraph.EmptyLedgerInitially .................................................... Passed 0.07 sec - Start 76: FlowState.RepeatedPlacementAfterResetAndIndependentInstancesStayStable -122/170 Test #62: FlowState.ApplyDeltasAdditive ..................................................... Passed 0.07 sec -123/170 Test #131: MaxFlow.Sensitivity_PartialSaturation ............................................. Passed 0.07 sec -124/170 Test #84: FlowGraph.PlacementCreatesEntry ................................................... Passed 0.07 sec - Start 153: MaskingTests.MaskedEdgeBlocksPath - Start 102: MaxFlow.ECMP_ThreePaths_Proportional_ShortestPath - Start 64: FlowState.MinCutComputation -125/170 Test #76: FlowState.RepeatedPlacementAfterResetAndIndependentInstancesStayStable ............ Passed 0.07 sec - Start 69: FlowState.ApplyDeltasClampsWithinCapacityBounds -126/170 Test #153: MaskingTests.MaskedEdgeBlocksPath ................................................. Passed 0.07 sec -127/170 Test #102: MaxFlow.ECMP_ThreePaths_Proportional_ShortestPath ................................. Passed 0.07 sec -128/170 Test #64: FlowState.MinCutComputation ....................................................... Passed 0.07 sec - Start 95: MaxFlow.SinglePath_BasicLinear - Start 121: MaxFlow.BatchMaxFlow_IndependentMaskApplication - Start 116: MaxFlow.MinCut_ValidEdgeIdentification -129/170 Test #95: MaxFlow.SinglePath_BasicLinear .................................................... Passed 0.07 sec -130/170 Test #121: MaxFlow.BatchMaxFlow_IndependentMaskApplication ................................... Passed 0.07 sec - Start 34: StrictMultiDiGraph.NegativeNodeIdThrows - Start 87: FlowGraph.GetFlowEdgesReturnsDeltas -131/170 Test #69: FlowState.ApplyDeltasClampsWithinCapacityBounds ................................... Passed 0.08 sec -132/170 Test #116: MaxFlow.MinCut_ValidEdgeIdentification ............................................ Passed 0.07 sec - Start 50: ShortestPaths.ZeroCostEdges_PredDAGIsAcyclic - Start 105: MaxFlow.AsymmetricCapacity_1to100_Proportional -133/170 Test #34: StrictMultiDiGraph.NegativeNodeIdThrows ........................................... Passed 0.07 sec -134/170 Test #87: FlowGraph.GetFlowEdgesReturnsDeltas ............................................... Passed 0.07 sec -135/170 Test #50: ShortestPaths.ZeroCostEdges_PredDAGIsAcyclic ...................................... Passed 0.07 sec -136/170 Test #105: MaxFlow.AsymmetricCapacity_1to100_Proportional .................................... Passed 0.07 sec - Start 128: MaxFlow.ShortestPath_MustSaturateAllEqualCostPaths - Start 125: MaxFlow.Clos_3Tier_Topology_EqualBalanced_Shortest - Start 98: MaxFlow.DegenerateCase_SourceEqualsSink - Start 118: MaxFlow.OptionalOutputs_ResidualAndReachable -137/170 Test #128: MaxFlow.ShortestPath_MustSaturateAllEqualCostPaths ................................ Passed 0.08 sec - Start 90: FlowGraph.CoalescesDuplicateEdgeIds -138/170 Test #125: MaxFlow.Clos_3Tier_Topology_EqualBalanced_Shortest ................................ Passed 0.08 sec -139/170 Test #98: MaxFlow.DegenerateCase_SourceEqualsSink ........................................... Passed 0.08 sec -140/170 Test #118: MaxFlow.OptionalOutputs_ResidualAndReachable ...................................... Passed 0.08 sec - Start 48: ShortestPaths.LargeGraphStressTest - Start 163: MaskingTests.MaxFlowWithEdgeMask - Start 164: MaskingTests.MaxFlowAllPathsMasked -141/170 Test #90: FlowGraph.CoalescesDuplicateEdgeIds ............................................... Passed 0.08 sec - Start 26: StrictMultiDiGraph.ZeroCostEdges -142/170 Test #163: MaskingTests.MaxFlowWithEdgeMask .................................................. Passed 0.08 sec -143/170 Test #164: MaskingTests.MaxFlowAllPathsMasked ................................................ Passed 0.08 sec - Start 60: FlowState.EqualBalancedDistribution - Start 141: KShortestPaths.DisconnectedReturnsEmpty -144/170 Test #48: ShortestPaths.LargeGraphStressTest ................................................ Passed 0.08 sec - Start 154: MaskingTests.MaskedEdgeSelectsAlternativePath -145/170 Test #60: FlowState.EqualBalancedDistribution ............................................... Passed 0.08 sec - Start 150: MaskingTests.OutOfRangeSourceInComputeMinCut -146/170 Test #26: StrictMultiDiGraph.ZeroCostEdges .................................................. Passed 0.08 sec -147/170 Test #141: KShortestPaths.DisconnectedReturnsEmpty ........................................... Passed 0.08 sec -148/170 Test #154: MaskingTests.MaskedEdgeSelectsAlternativePath ..................................... Passed 0.08 sec - Start 166: MaskingTests.EmptyEdgeMaskAllowsAllEdges - Start 70: FlowState.EqualBalancedReconvergentDAGPlacesAll - Start 162: MaskingTests.MaxFlowWithNodeMask -149/170 Test #150: MaskingTests.OutOfRangeSourceInComputeMinCut ...................................... Passed 0.07 sec -150/170 Test #166: MaskingTests.EmptyEdgeMaskAllowsAllEdges .......................................... Passed 0.07 sec - Start 61: FlowState.ZeroCapacityHandling - Start 59: FlowState.ProportionalDistribution -151/170 Test #70: FlowState.EqualBalancedReconvergentDAGPlacesAll ................................... Passed 0.07 sec -152/170 Test #162: MaskingTests.MaxFlowWithNodeMask .................................................. Passed 0.07 sec - Start 155: MaskingTests.MultipleEdgesMasked - Start 57: FlowState.InitialResidualEqualsCapacity -153/170 Test #59: FlowState.ProportionalDistribution ................................................ Passed 0.07 sec - Start 127: MaxFlow.SimpleParallelPaths_Topology -154/170 Test #61: FlowState.ZeroCapacityHandling .................................................... Passed 0.07 sec -155/170 Test #155: MaskingTests.MultipleEdgesMasked .................................................. Passed 0.07 sec -156/170 Test #57: FlowState.InitialResidualEqualsCapacity ........................................... Passed 0.07 sec - Start 58: FlowState.PlacementReducesResidual - Start 51: ShortestPathsTo.DistancesMatchForwardDistancesToDst - Start 52: ShortestPathsTo.ForwardSpfFromPseudoSourceKeepsOnlyNearestSource -157/170 Test #58: FlowState.PlacementReducesResidual ................................................ Passed 0.07 sec - Start 53: ShortestPathsTo.FanoutEdgesForceEverySourceIntoTheDag -158/170 Test #127: MaxFlow.SimpleParallelPaths_Topology .............................................. Passed 0.07 sec -159/170 Test #51: ShortestPathsTo.DistancesMatchForwardDistancesToDst ............................... Passed 0.07 sec -160/170 Test #52: ShortestPathsTo.ForwardSpfFromPseudoSourceKeepsOnlyNearestSource .................. Passed 0.07 sec - Start 54: ShortestPathsTo.FanoutSkipsUnreachableAndMaskedHeads - Start 55: ShortestPathsTo.FanoutFromInteriorNodeIsRejected - Start 56: ShortestPathsTo.SinglePathModeKeepsOneSuccessorPerNode -161/170 Test #53: ShortestPathsTo.FanoutEdgesForceEverySourceIntoTheDag ............................. Passed 0.07 sec - Start 77: FlowState.EqualBalanced_SaturatedMemberBlocksAdmission -162/170 Test #54: ShortestPathsTo.FanoutSkipsUnreachableAndMaskedHeads .............................. Passed 0.07 sec -163/170 Test #55: ShortestPathsTo.FanoutFromInteriorNodeIsRejected .................................. Passed 0.07 sec -164/170 Test #56: ShortestPathsTo.SinglePathModeKeepsOneSuccessorPerNode ............................ Passed 0.07 sec - Start 78: FlowState.EqualBalanced_ProgressesOnlyThroughResidualAwareSpf - Start 79: FlowState.EqualBalancedLossy_FillAndDropReportsDrops - Start 80: FlowState.EqualBalancedLossy_DeficitPropagatesDownstream -165/170 Test #79: FlowState.EqualBalancedLossy_FillAndDropReportsDrops .............................. Passed 0.07 sec - Start 81: FlowState.EqualBalancedLossy_InfiniteRequestFillsWithoutDrops -166/170 Test #77: FlowState.EqualBalanced_SaturatedMemberBlocksAdmission ............................ Passed 0.07 sec -167/170 Test #78: FlowState.EqualBalanced_ProgressesOnlyThroughResidualAwareSpf ..................... Passed 0.07 sec -168/170 Test #80: FlowState.EqualBalancedLossy_DeficitPropagatesDownstream .......................... Passed 0.07 sec - Start 82: FlowGraph.LossyPlacementIsReversibleAndDropsStayOutOfLedger -169/170 Test #81: FlowState.EqualBalancedLossy_InfiniteRequestFillsWithoutDrops ..................... Passed 0.07 sec -170/170 Test #82: FlowGraph.LossyPlacementIsReversibleAndDropsStayOutOfLedger ....................... Passed 0.07 sec - -100% tests passed out of 170 - -Total Test time (real) = 3.00 sec diff --git a/dev/research/metal_pathfinding/results/stress-sanitized.csv b/dev/research/metal_pathfinding/results/stress-sanitized.csv deleted file mode 100644 index c9d9fb1..0000000 --- a/dev/research/metal_pathfinding/results/stress-sanitized.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,method,wall_ms,gpu_ms,distance_wall_ms,upload_ms,rounds,samples,correct,exact_order_queries,wall_samples_ms -grid,1024,3968,64,metal_pull,15.530167,4.484500,9.108750,0.188375,64,20,pass,0,16.700250;15.530167;15.417208;14.727875;14.057000;15.392333;16.472042;15.792750;15.891250;11.988333;15.802375;15.560042;16.590166;15.518750;11.375958;16.363709;17.054667;15.159750;15.207500;15.467084 -grid,1024,3968,64,metal_group,11.060208,3.933417,4.879000,0.188375,63,20,pass,0,11.942000;7.964375;11.096834;10.917458;11.153459;8.798208;11.295417;11.240333;10.839417;11.959583;11.143958;11.022000;10.818417;11.017167;8.111667;11.060208;11.184917;10.825750;11.167166;10.949792 -grid,1024,3968,64,metal_shared,10.228625,3.022375,3.916833,0.188375,63,20,pass,0,9.921208;10.004083;9.822125;9.661958;10.228625;11.134167;10.203042;10.252459;10.255542;10.094833;10.453375;10.557041;10.717250;9.984875;10.313458;10.648125;10.205625;10.073000;10.538500;10.068917 -random_masked_int64_reverse,1024,8192,64,metal_pull,13.439750,0.905375,1.931417,0.195667,8,20,pass,6,13.597583;13.481542;13.092833;13.398708;13.384584;13.448375;14.449125;15.040625;13.340542;13.603958;13.039250;13.253625;13.401208;13.473250;13.170750;13.203708;13.391417;13.586667;15.356334;13.439750 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a/dev/research/metal_pathfinding/results/stress-validation.txt b/dev/research/metal_pathfinding/results/stress-validation.txt deleted file mode 100644 index c87a5f1..0000000 --- a/dev/research/metal_pathfinding/results/stress-validation.txt +++ /dev/null @@ -1,3 +0,0 @@ -2026-09-27 00:02:38.195 experiment-sanitize[57642:38285138] Metal API Validation Enabled -2026-09-27 00:02:38.195 experiment-sanitize[57642:38285138] Metal GPU Validation Enabled -device=Apple M4 Max setup_ms=223.541 execution_width=32 diff --git a/dev/research/metal_pathfinding/results/stress.csv b/dev/research/metal_pathfinding/results/stress.csv deleted file mode 100644 index 59e8274..0000000 --- a/dev/research/metal_pathfinding/results/stress.csv +++ /dev/null @@ -1,7 +0,0 @@ -case,n,e,queries,method,wall_ms,gpu_ms,distance_wall_ms,upload_ms,rounds,samples,correct,exact_order_queries,wall_samples_ms 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diff --git a/dev/research/metal_pathfinding/results/validation.txt b/dev/research/metal_pathfinding/results/validation.txt deleted file mode 100644 index a0d4adc..0000000 --- a/dev/research/metal_pathfinding/results/validation.txt +++ /dev/null @@ -1,3 +0,0 @@ -2026-09-27 00:02:40.947 experiment-sanitize[57855:38285628] Metal API Validation Enabled -2026-09-27 00:02:40.947 experiment-sanitize[57855:38285628] Metal GPU Validation Enabled -device=Apple M4 Max setup_ms=28.2634 execution_width=32 diff --git a/dev/research/metal_pathfinding/results/witnesses-sanitized.txt b/dev/research/metal_pathfinding/results/witnesses-sanitized.txt deleted file mode 100644 index 6159e5d..0000000 --- a/dev/research/metal_pathfinding/results/witnesses-sanitized.txt +++ /dev/null @@ -1,9 +0,0 @@ -PASS diamond: all ECMP alternatives, parallel edges, positive self-loop excluded, isolated node -PASS reverse diamond: hand-derived distances and forward DAG -PASS masked source and transit node -PASS double capacity threshold: below rejected, exact threshold admitted -PASS edge mask and residual gate combined -PASS exact int64 costs above 2^53 and one-unit path difference -PASS expected gap: zero-cost distances agree, tight-edge GPU DAG has 1->2->1 cycle; CPU DAG has 2 edges -PASS precision gaps: float32 collapses 16777216/16777217 and admits nextafter(kMinCap,0) -PASS capacity tie gap: CPU chooses edge 1 at 1+1e-8; float32 collapses both capacities diff --git a/dev/research/metal_pathfinding/results/witnesses-stderr.txt b/dev/research/metal_pathfinding/results/witnesses-stderr.txt deleted file mode 100644 index 6958d46..0000000 --- a/dev/research/metal_pathfinding/results/witnesses-stderr.txt +++ /dev/null @@ -1 +0,0 @@ -device=Apple M4 Max setup_ms=25.3313 execution_width=32 diff --git a/dev/research/metal_pathfinding/results/witnesses-validation.txt b/dev/research/metal_pathfinding/results/witnesses-validation.txt deleted file mode 100644 index eb1391c..0000000 --- a/dev/research/metal_pathfinding/results/witnesses-validation.txt +++ /dev/null @@ -1,3 +0,0 @@ -2026-09-27 00:02:41.134 experiment-sanitize[57187:38285642] Metal API Validation Enabled -2026-09-27 00:02:41.134 experiment-sanitize[57187:38285642] Metal GPU Validation Enabled -device=Apple M4 Max setup_ms=33.3338 execution_width=32 diff --git a/dev/research/metal_pathfinding/results/witnesses.txt b/dev/research/metal_pathfinding/results/witnesses.txt deleted file mode 100644 index 6159e5d..0000000 --- a/dev/research/metal_pathfinding/results/witnesses.txt +++ /dev/null @@ -1,9 +0,0 @@ -PASS diamond: all ECMP alternatives, parallel edges, positive self-loop excluded, isolated node -PASS reverse diamond: hand-derived distances and forward DAG -PASS masked source and transit node -PASS double capacity threshold: below rejected, exact threshold admitted -PASS edge mask and residual gate combined -PASS exact int64 costs above 2^53 and one-unit path difference -PASS expected gap: zero-cost distances agree, tight-edge GPU DAG has 1->2->1 cycle; CPU DAG has 2 edges -PASS precision gaps: float32 collapses 16777216/16777217 and admits nextafter(kMinCap,0) -PASS capacity tie gap: CPU chooses edge 1 at 1+1e-8; float32 collapses both capacities diff --git a/dev/research/metal_pathfinding/results/workspace-check.txt b/dev/research/metal_pathfinding/results/workspace-check.txt deleted file mode 100644 index 7f3aec6..0000000 --- a/dev/research/metal_pathfinding/results/workspace-check.txt +++ /dev/null @@ -1,411 +0,0 @@ -📦 Installing package (editable, default optimizations) -Obtaining file:///Users/networmix/ws/NetGraph-Core - Installing build dependencies: started - Installing build dependencies: finished with status 'done' - Checking if build backend supports build_editable: started - Checking if build backend supports build_editable: finished with status 'done' - Getting requirements to build editable: started - Getting requirements to build editable: finished with status 'done' - Installing backend dependencies: started - Installing backend dependencies: finished with status 'done' - Preparing editable metadata (pyproject.toml): started - Preparing editable metadata (pyproject.toml): finished with status 'done' -Requirement already satisfied: numpy>=1.23.2 in ./venv/lib/python3.14/site-packages (from netgraph-core==0.10.0) (2.5.2) -Building wheels for collected packages: netgraph-core - Building editable for netgraph-core (pyproject.toml): started - Building editable for netgraph-core (pyproject.toml): finished with status 'done' - Created wheel for netgraph-core: filename=netgraph_core-0.10.0-cp314-cp314-macosx_15_0_arm64.whl size=314893 sha256=4dbd81d69e154acb7b436937ec9e484f0a6e31c56787e8ac028619002e4fa1f9 - Stored in directory: /private/var/folders/8q/438f_q5s0ys8nlnvjqkf953m0000gn/T/pip-ephem-wheel-cache-lpf_6ry7/wheels/18/8c/1a/f701a43f4b69f7c794e11f1f5dd0c17e819d2c98bfd1285718 -Successfully built netgraph-core -Installing collected packages: netgraph-core - Attempting uninstall: netgraph-core - Found existing installation: netgraph-core 0.10.0 - Uninstalling netgraph-core-0.10.0: - Successfully uninstalled netgraph-core-0.10.0 -Successfully installed netgraph-core-0.10.0 -44 files already formatted -All checks passed! -0 errors, 0 warnings, 0 informations -WARNING: there is a new pyright version available (v1.1.401 -> v1.1.414). -Please install the new version or set PYRIGHT_PYTHON_FORCE_VERSION to `latest` - --- pybind11 not found via config; using FetchContent --- pybind11 v3.0.0 --- LTO not supported: CMake doesn't support IPO for current C compiler --- Configuring done (0.6s) --- Generating done (0.0s) --- Build files have been written to: /Users/networmix/ws/NetGraph-Core/build/cpp-tests -[1/21] Building CXX object CMakeFiles/netgraph_core.dir/src/strict_multidigraph.cpp.o -[2/21] Building CXX object CMakeFiles/netgraph_core.dir/src/k_shortest_paths.cpp.o -[3/21] Building CXX object CMakeFiles/netgraph_core.dir/src/shortest_paths.cpp.o -[4/21] Building CXX object CMakeFiles/netgraph_core.dir/src/max_flow.cpp.o -[5/21] Building CXX object CMakeFiles/netgraph_core.dir/src/cpu_backend.cpp.o -[6/21] Building CXX object CMakeFiles/netgraph_core.dir/src/flow_state.cpp.o -[7/21] Building CXX object CMakeFiles/netgraph_core.dir/src/flow_graph.cpp.o -[8/21] Building CXX object CMakeFiles/netgraph_core_tests.dir/tests/cpp/smoke_test.cpp.o -[9/21] Building CXX object CMakeFiles/netgraph_core.dir/src/flow_policy.cpp.o -[10/21] Building CXX object CMakeFiles/netgraph_core_tests.dir/tests/cpp/strict_multidigraph_tests.cpp.o -[11/21] Building CXX object CMakeFiles/netgraph_core_tests.dir/tests/cpp/flow_policy_tests.cpp.o -[12/21] Building CXX object CMakeFiles/netgraph_core_tests.dir/tests/cpp/shortest_paths_tests.cpp.o -[13/21] Building CXX object CMakeFiles/netgraph_core_tests.dir/tests/cpp/flow_state_tests.cpp.o -[14/21] Building CXX object CMakeFiles/netgraph_core_tests.dir/tests/cpp/flow_graph_tests.cpp.o -[15/21] Linking CXX static library libnetgraph_core.a -[16/21] Building CXX object CMakeFiles/netgraph_core_tests.dir/tests/cpp/max_flow_tests.cpp.o -[17/21] Building CXX object CMakeFiles/netgraph_core_tests.dir/tests/cpp/k_shortest_paths_tests.cpp.o -[18/21] Building CXX object CMakeFiles/netgraph_core_tests.dir/tests/cpp/masking_tests.cpp.o -[19/21] Linking CXX executable netgraph_core_tests -[20/21] Building CXX object CMakeFiles/_netgraph_core.dir/bindings/python/module.cpp.o -[21/21] Linking CXX shared module _netgraph_core.cpython-314-darwin.so -Test project /Users/networmix/ws/NetGraph-Core/build/cpp-tests - Start 141: KShortestPaths.DisconnectedReturnsEmpty - Start 132: MaxFlow.Sensitivity_ShortestPathVsMaxFlow - Start 34: StrictMultiDiGraph.NegativeNodeIdThrows - Start 11: FlowPolicyCore.EqualBalanced_ShortestPath_IgnoresHigherCostTier - 1/170 Test #141: KShortestPaths.DisconnectedReturnsEmpty ........................................... Passed 0.00 sec - Start 152: MaskingTests.MaskedIntermediateNode - 2/170 Test #132: MaxFlow.Sensitivity_ShortestPathVsMaxFlow ......................................... Passed 0.00 sec - Start 9: FlowPolicyCore.EqualBalanced_ShortestPath_ECMP3_SaturatesAllEqualCostPaths - 3/170 Test #34: StrictMultiDiGraph.NegativeNodeIdThrows ........................................... Passed 0.00 sec - 4/170 Test #11: FlowPolicyCore.EqualBalanced_ShortestPath_IgnoresHigherCostTier ................... Passed 0.00 sec - Start 105: MaxFlow.AsymmetricCapacity_1to100_Proportional - Start 10: FlowPolicyCore.EqualBalanced_ShortestPath_DownstreamSplit_BalancesBottleneck - 5/170 Test #152: MaskingTests.MaskedIntermediateNode ............................................... Passed 0.00 sec - Start 154: MaskingTests.MaskedEdgeSelectsAlternativePath - 6/170 Test #9: FlowPolicyCore.EqualBalanced_ShortestPath_ECMP3_SaturatesAllEqualCostPaths ........ Passed 0.00 sec - Start 156: MaskingTests.CombinedNodeAndEdgeMasks - 7/170 Test #105: MaxFlow.AsymmetricCapacity_1to100_Proportional .................................... Passed 0.00 sec - Start 144: KShortestPaths.LargerOutOfOrderTopology - 8/170 Test #10: FlowPolicyCore.EqualBalanced_ShortestPath_DownstreamSplit_BalancesBottleneck ...... Passed 0.00 sec - Start 43: ShortestPaths.PredDAGIntegrity - 9/170 Test #154: MaskingTests.MaskedEdgeSelectsAlternativePath ..................................... Passed 0.00 sec - Start 148: MaskingTests.MaskedSourceInMaxFlow - 10/170 Test #156: MaskingTests.CombinedNodeAndEdgeMasks ............................................. Passed 0.00 sec - Start 118: MaxFlow.OptionalOutputs_ResidualAndReachable - 11/170 Test #144: KShortestPaths.LargerOutOfOrderTopology ........................................... Passed 0.00 sec - Start 33: StrictMultiDiGraph.SelfLoopAllowed - 12/170 Test #43: ShortestPaths.PredDAGIntegrity .................................................... Passed 0.00 sec - Start 8: FlowPolicyCore.DiminishingReturnsCutoff - 13/170 Test #148: MaskingTests.MaskedSourceInMaxFlow ................................................ Passed 0.00 sec - Start 138: KShortestPaths.UniqueModeFiltering - 14/170 Test #118: MaxFlow.OptionalOutputs_ResidualAndReachable ...................................... Passed 0.00 sec - Start 92: FlowGraph.LedgerMicroFlows_RemovalRestoresResidual - 15/170 Test #33: StrictMultiDiGraph.SelfLoopAllowed ................................................ Passed 0.00 sec - Start 47: ShortestPaths.ResolveToPathsWithMaxPathsLimit - 16/170 Test #8: FlowPolicyCore.DiminishingReturnsCutoff ........................................... Passed 0.00 sec - Start 83: FlowGraph.EmptyLedgerInitially - 17/170 Test #138: KShortestPaths.UniqueModeFiltering ................................................ Passed 0.00 sec - Start 67: FlowState.InvalidResidualInitThrows - 18/170 Test #47: ShortestPaths.ResolveToPathsWithMaxPathsLimit ..................................... Passed 0.00 sec - Start 17: StrictMultiDiGraph.EmptyGraph - 19/170 Test #92: FlowGraph.LedgerMicroFlows_RemovalRestoresResidual ................................ Passed 0.00 sec - Start 106: MaxFlow.AsymmetricCapacity_1to1M_NumericalStability - 20/170 Test #83: FlowGraph.EmptyLedgerInitially .................................................... Passed 0.00 sec - Start 1: GraphSmoke.ConstructAndRunSPF - 21/170 Test #67: FlowState.InvalidResidualInitThrows ............................................... Passed 0.00 sec - Start 41: ShortestPaths.EdgeMaskFiltering - 22/170 Test #17: StrictMultiDiGraph.EmptyGraph ..................................................... Passed 0.00 sec - Start 89: FlowGraph.GetFlowPathForDAGReturnsEmpty - 23/170 Test #106: MaxFlow.AsymmetricCapacity_1to1M_NumericalStability ............................... Passed 0.00 sec - Start 104: MaxFlow.ECMP_TenPaths_ScalabilityValidation - 24/170 Test #1: GraphSmoke.ConstructAndRunSPF ..................................................... Passed 0.00 sec - Start 61: FlowState.ZeroCapacityHandling - 25/170 Test #41: ShortestPaths.EdgeMaskFiltering ................................................... Passed 0.00 sec - Start 22: StrictMultiDiGraph.ExternalEdgeIdsPreserved - 26/170 Test #89: FlowGraph.GetFlowPathForDAGReturnsEmpty ........................................... Passed 0.00 sec - Start 149: MaskingTests.MaskedSourceInComputeMinCut - 27/170 Test #104: MaxFlow.ECMP_TenPaths_ScalabilityValidation ....................................... Passed 0.00 sec - Start 103: MaxFlow.ECMP_FourPaths_ClosFabric_Simulation - 28/170 Test #61: FlowState.ZeroCapacityHandling .................................................... Passed 0.00 sec - Start 155: MaskingTests.MultipleEdgesMasked - 29/170 Test #22: StrictMultiDiGraph.ExternalEdgeIdsPreserved ....................................... Passed 0.00 sec - Start 109: MaxFlow.ZeroCapacityPath_CorrectFiltering - 30/170 Test #149: MaskingTests.MaskedSourceInComputeMinCut .......................................... Passed 0.00 sec - Start 126: MaxFlow.Triangle_Topology_Combine_Mode - 31/170 Test #103: MaxFlow.ECMP_FourPaths_ClosFabric_Simulation ...................................... Passed 0.00 sec - Start 107: MaxFlow.AsymmetricCapacity_1to100_EqualBalanced - 32/170 Test #155: MaskingTests.MultipleEdgesMasked .................................................. Passed 0.00 sec - Start 122: MaxFlow.GridGraph_3x3_MultipleEqualCostPaths - 33/170 Test #109: MaxFlow.ZeroCapacityPath_CorrectFiltering ......................................... Passed 0.00 sec - Start 42: ShortestPaths.EarlyExitOptimization - 34/170 Test #126: MaxFlow.Triangle_Topology_Combine_Mode ............................................ Passed 0.00 sec - Start 64: FlowState.MinCutComputation - 35/170 Test #107: MaxFlow.AsymmetricCapacity_1to100_EqualBalanced ................................... Passed 0.00 sec - Start 75: FlowState.Proportional_ZeroCapacityOnShortestPath_ReturnsZero - 36/170 Test #122: MaxFlow.GridGraph_3x3_MultipleEqualCostPaths ...................................... Passed 0.00 sec - Start 29: StrictMultiDiGraph.ExtEdgeIdsWrongLengthThrows - 37/170 Test #42: ShortestPaths.EarlyExitOptimization ............................................... Passed 0.00 sec - Start 32: StrictMultiDiGraph.NegativeCostThrows - 38/170 Test #64: FlowState.MinCutComputation ....................................................... Passed 0.00 sec - Start 135: KShortestPaths.FindsKPaths - 39/170 Test #75: FlowState.Proportional_ZeroCapacityOnShortestPath_ReturnsZero ..................... Passed 0.00 sec - Start 99: MaxFlow.ECMP_TwoPaths_Proportional_ShortestPath - 40/170 Test #29: StrictMultiDiGraph.ExtEdgeIdsWrongLengthThrows .................................... Passed 0.00 sec - Start 21: StrictMultiDiGraph.EdgeSortingByCost - 41/170 Test #32: StrictMultiDiGraph.NegativeCostThrows ............................................. Passed 0.00 sec - Start 143: KShortestPaths.OutOfOrderNodePredDAGSemantics - 42/170 Test #135: KShortestPaths.FindsKPaths ........................................................ Passed 0.00 sec - Start 37: ShortestPaths.DisconnectedComponents - 43/170 Test #99: MaxFlow.ECMP_TwoPaths_Proportional_ShortestPath ................................... Passed 0.00 sec - Start 7: FlowPolicyCore.EqualBalanced_SingleDemand_FlowCount3_SaturatesBothPaths - 44/170 Test #21: StrictMultiDiGraph.EdgeSortingByCost .............................................. Passed 0.00 sec - Start 69: FlowState.ApplyDeltasClampsWithinCapacityBounds - 45/170 Test #143: KShortestPaths.OutOfOrderNodePredDAGSemantics ..................................... Passed 0.00 sec - Start 134: MaxFlow.CompletionPhase_RespectsNodeMask - 46/170 Test #37: ShortestPaths.DisconnectedComponents .............................................. Passed 0.00 sec - Start 68: FlowState.ResetWithInvalidResidualThrows - 47/170 Test #7: FlowPolicyCore.EqualBalanced_SingleDemand_FlowCount3_SaturatesBothPaths ........... Passed 0.00 sec - Start 112: MaxFlow.EqualCost_ShortestVsFull_Equivalent - 48/170 Test #69: FlowState.ApplyDeltasClampsWithinCapacityBounds ................................... Passed 0.00 sec - Start 157: MaskingTests.NodeMaskOverridesEdgeMask - 49/170 Test #134: MaxFlow.CompletionPhase_RespectsNodeMask .......................................... Passed 0.00 sec - Start 46: ShortestPaths.ResolveToPathsSplittingParallelEdges - 50/170 Test #68: FlowState.ResetWithInvalidResidualThrows .......................................... Passed 0.00 sec - Start 35: StrictMultiDiGraph.MultipleCostTiers - 51/170 Test #112: MaxFlow.EqualCost_ShortestVsFull_Equivalent ....................................... Passed 0.00 sec - Start 133: MaxFlow.CompletionPhase_RecoversCancellation - 52/170 Test #157: MaskingTests.NodeMaskOverridesEdgeMask ............................................ Passed 0.00 sec - Start 153: MaskingTests.MaskedEdgeBlocksPath - 53/170 Test #46: ShortestPaths.ResolveToPathsSplittingParallelEdges ................................ Passed 0.00 sec - Start 114: MaxFlow.PlacementModes_EqualCapacity_IdenticalResult - 54/170 Test #35: StrictMultiDiGraph.MultipleCostTiers .............................................. Passed 0.00 sec - Start 27: StrictMultiDiGraph.InvalidNumNodesThrows - 55/170 Test #133: MaxFlow.CompletionPhase_RecoversCancellation ...................................... Passed 0.00 sec - Start 91: FlowGraph.LedgerHistory_RemovalRestoresResidual - 56/170 Test #153: MaskingTests.MaskedEdgeBlocksPath ................................................. Passed 0.00 sec - Start 20: StrictMultiDiGraph.ParallelEdges - 57/170 Test #114: MaxFlow.PlacementModes_EqualCapacity_IdenticalResult .............................. Passed 0.00 sec - Start 71: FlowState.EqualBalanced_ECMP3_FirstHopEqualization - 58/170 Test #27: StrictMultiDiGraph.InvalidNumNodesThrows .......................................... Passed 0.00 sec - Start 63: FlowState.ApplyDeltasSubtractive - 59/170 Test #91: FlowGraph.LedgerHistory_RemovalRestoresResidual ................................... Passed 0.00 sec - Start 31: StrictMultiDiGraph.NegativeCapacityThrows - 60/170 Test #20: StrictMultiDiGraph.ParallelEdges .................................................. Passed 0.00 sec - Start 2: FlowPolicyCore.Proportional_SingleDemand_UsesShortestPath - 61/170 Test #71: FlowState.EqualBalanced_ECMP3_FirstHopEqualization ................................ Passed 0.00 sec - Start 100: MaxFlow.ECMP_TwoPaths_Proportional_FullMaxFlow - 62/170 Test #63: FlowState.ApplyDeltasSubtractive .................................................. Passed 0.00 sec - Start 5: FlowPolicyCore.Proportional_SingleDemand_PartialPlacement_InsufficientCapacity - 63/170 Test #31: StrictMultiDiGraph.NegativeCapacityThrows ......................................... Passed 0.00 sec - Start 150: MaskingTests.OutOfRangeSourceInComputeMinCut - 64/170 Test #2: FlowPolicyCore.Proportional_SingleDemand_UsesShortestPath ......................... Passed 0.00 sec - Start 76: FlowState.RepeatedPlacementAfterResetAndIndependentInstancesStayStable - 65/170 Test #100: MaxFlow.ECMP_TwoPaths_Proportional_FullMaxFlow .................................... Passed 0.00 sec - Start 121: MaxFlow.BatchMaxFlow_IndependentMaskApplication - 66/170 Test #5: FlowPolicyCore.Proportional_SingleDemand_PartialPlacement_InsufficientCapacity .... Passed 0.00 sec - Start 117: MaxFlow.CostDistribution_AccountsForAllFlow - 67/170 Test #150: MaskingTests.OutOfRangeSourceInComputeMinCut ...................................... Passed 0.00 sec - Start 113: MaxFlow.ThreeCostTiers_ShortestPath_LowestTierOnly - 68/170 Test #76: FlowState.RepeatedPlacementAfterResetAndIndependentInstancesStayStable ............ Passed 0.00 sec - Start 23: StrictMultiDiGraph.CSROffsetsMonotonicity - 69/170 Test #121: MaxFlow.BatchMaxFlow_IndependentMaskApplication ................................... Passed 0.00 sec - Start 48: ShortestPaths.LargeGraphStressTest - 70/170 Test #117: MaxFlow.CostDistribution_AccountsForAllFlow ....................................... Passed 0.00 sec - Start 59: FlowState.ProportionalDistribution - 71/170 Test #113: MaxFlow.ThreeCostTiers_ShortestPath_LowestTierOnly ................................ Passed 0.00 sec - Start 6: FlowPolicyCore.EqualBalanced_SingleDemand_FlowCount2_BalancedDistribution - 72/170 Test #23: StrictMultiDiGraph.CSROffsetsMonotonicity ......................................... Passed 0.00 sec - Start 58: FlowState.PlacementReducesResidual - 73/170 Test #48: ShortestPaths.LargeGraphStressTest ................................................ Passed 0.00 sec - Start 4: FlowPolicyCore.Proportional_SingleDemand_MaxFlowCount1_UsesSinglePath - 74/170 Test #59: FlowState.ProportionalDistribution ................................................ Passed 0.00 sec - Start 130: MaxFlow.Sensitivity_TwoParallelPaths - 75/170 Test #6: FlowPolicyCore.EqualBalanced_SingleDemand_FlowCount2_BalancedDistribution ......... Passed 0.00 sec - Start 44: ShortestPaths.TieBreakingDeterminism - 76/170 Test #58: FlowState.PlacementReducesResidual ................................................ Passed 0.00 sec - Start 140: KShortestPaths.PathsSortedByCost - 77/170 Test #4: FlowPolicyCore.Proportional_SingleDemand_MaxFlowCount1_UsesSinglePath ............. Passed 0.00 sec - Start 158: MaskingTests.MaskWithResidualCapacity - 78/170 Test #130: MaxFlow.Sensitivity_TwoParallelPaths .............................................. Passed 0.00 sec - Start 161: MaskingTests.KSPWithEdgeMask - 79/170 Test #44: ShortestPaths.TieBreakingDeterminism .............................................. Passed 0.00 sec - Start 18: StrictMultiDiGraph.SingleNode - 80/170 Test #140: KShortestPaths.PathsSortedByCost .................................................. Passed 0.00 sec - Start 127: MaxFlow.SimpleParallelPaths_Topology - 81/170 Test #158: MaskingTests.MaskWithResidualCapacity ............................................. Passed 0.00 sec - Start 39: ShortestPaths.ResidualAwareFiltering - 82/170 Test #161: MaskingTests.KSPWithEdgeMask ...................................................... Passed 0.00 sec - Start 162: MaskingTests.MaxFlowWithNodeMask - 83/170 Test #18: StrictMultiDiGraph.SingleNode ..................................................... Passed 0.00 sec - Start 49: ShortestPaths.RejectsMaskLengthMismatch - 84/170 Test #127: MaxFlow.SimpleParallelPaths_Topology .............................................. Passed 0.00 sec - Start 137: KShortestPaths.NodeMaskBlocksPaths - 85/170 Test #39: ShortestPaths.ResidualAwareFiltering .............................................. Passed 0.00 sec - Start 3: FlowPolicyCore.Proportional_SingleDemand_SplitsAcrossTwoEqualCostPaths - 86/170 Test #162: MaskingTests.MaxFlowWithNodeMask .................................................. Passed 0.00 sec - Start 160: MaskingTests.KSPWithNodeMask - 87/170 Test #49: ShortestPaths.RejectsMaskLengthMismatch ........................................... Passed 0.00 sec - Start 116: MaxFlow.MinCut_ValidEdgeIdentification - 88/170 Test #137: KShortestPaths.NodeMaskBlocksPaths ................................................ Passed 0.00 sec - Start 142: KShortestPaths.LooplessPaths - 89/170 Test #3: FlowPolicyCore.Proportional_SingleDemand_SplitsAcrossTwoEqualCostPaths ............ Passed 0.00 sec - Start 88: FlowGraph.GetFlowPathForLinearFlow - 90/170 Test #160: MaskingTests.KSPWithNodeMask ...................................................... Passed 0.00 sec - Start 108: MaxFlow.EqualBalanced_NodeMask_ReducesECMPWidth - 91/170 Test #116: MaxFlow.MinCut_ValidEdgeIdentification ............................................ Passed 0.00 sec - Start 50: ShortestPaths.ZeroCostEdges_PredDAGIsAcyclic - 92/170 Test #142: KShortestPaths.LooplessPaths ...................................................... Passed 0.00 sec - Start 36: ShortestPaths.SingleSourceAllNodes - 93/170 Test #88: FlowGraph.GetFlowPathForLinearFlow ................................................ Passed 0.00 sec - Start 136: KShortestPaths.KEqualsZeroReturnsEmpty - 94/170 Test #108: MaxFlow.EqualBalanced_NodeMask_ReducesECMPWidth ................................... Passed 0.00 sec - Start 38: ShortestPaths.MultipleEqualCostPaths - 95/170 Test #50: ShortestPaths.ZeroCostEdges_PredDAGIsAcyclic ...................................... Passed 0.00 sec - Start 97: MaxFlow.SinglePath_ShortestPathEquivalence - 96/170 Test #36: ShortestPaths.SingleSourceAllNodes ................................................ Passed 0.00 sec - Start 90: FlowGraph.CoalescesDuplicateEdgeIds - 97/170 Test #136: KShortestPaths.KEqualsZeroReturnsEmpty ............................................ Passed 0.00 sec - Start 131: MaxFlow.Sensitivity_PartialSaturation - 98/170 Test #38: ShortestPaths.MultipleEqualCostPaths .............................................. Passed 0.00 sec - Start 45: ShortestPaths.PreferHigherResidualTieBreak - 99/170 Test #97: MaxFlow.SinglePath_ShortestPathEquivalence ........................................ Passed 0.00 sec - Start 129: MaxFlow.Sensitivity_SinglePath -100/170 Test #90: FlowGraph.CoalescesDuplicateEdgeIds ............................................... Passed 0.00 sec - Start 110: MaxFlow.TwoCostTiers_ShortestPath_SingleTierOnly -101/170 Test #131: MaxFlow.Sensitivity_PartialSaturation ............................................. Passed 0.00 sec - Start 28: StrictMultiDiGraph.MismatchedArrayLengthsThrow -102/170 Test #45: ShortestPaths.PreferHigherResidualTieBreak ........................................ Passed 0.00 sec - Start 111: MaxFlow.TwoCostTiers_FullMaxFlow_AllTiers -103/170 Test #129: MaxFlow.Sensitivity_SinglePath .................................................... Passed 0.00 sec - Start 146: MaskingTests.MaskedSourceReturnsEmptyDAG -104/170 Test #110: MaxFlow.TwoCostTiers_ShortestPath_SingleTierOnly .................................. Passed 0.00 sec - Start 24: StrictMultiDiGraph.CSRReverseAdjacency -105/170 Test #28: StrictMultiDiGraph.MismatchedArrayLengthsThrow .................................... Passed 0.00 sec - Start 124: MaxFlow.Clos_3Tier_Topology_Proportional_Shortest -106/170 Test #111: MaxFlow.TwoCostTiers_FullMaxFlow_AllTiers ......................................... Passed 0.00 sec - Start 120: MaxFlow.EdgeMask_SelectiveEdgeFiltering -107/170 Test #146: MaskingTests.MaskedSourceReturnsEmptyDAG .......................................... Passed 0.00 sec - Start 25: StrictMultiDiGraph.MaxCapacityEdges -108/170 Test #24: StrictMultiDiGraph.CSRReverseAdjacency ............................................ Passed 0.00 sec - Start 57: FlowState.InitialResidualEqualsCapacity -109/170 Test #124: MaxFlow.Clos_3Tier_Topology_Proportional_Shortest ................................. Passed 0.00 sec - Start 123: MaxFlow.SharedBottleneck_MultiplePathsMerge -110/170 Test #120: MaxFlow.EdgeMask_SelectiveEdgeFiltering ........................................... Passed 0.00 sec - Start 40: ShortestPaths.NodeMaskIsolation -111/170 Test #25: StrictMultiDiGraph.MaxCapacityEdges ............................................... Passed 0.00 sec - Start 125: MaxFlow.Clos_3Tier_Topology_EqualBalanced_Shortest -112/170 Test #57: FlowState.InitialResidualEqualsCapacity ........................................... Passed 0.00 sec - Start 128: MaxFlow.ShortestPath_MustSaturateAllEqualCostPaths -113/170 Test #123: MaxFlow.SharedBottleneck_MultiplePathsMerge ....................................... Passed 0.00 sec - Start 74: FlowState.EqualBalanced_ZeroCapacityOnShortestPath_ReturnsZero -114/170 Test #40: ShortestPaths.NodeMaskIsolation ................................................... Passed 0.00 sec - Start 70: FlowState.EqualBalancedReconvergentDAGPlacesAll -115/170 Test #125: MaxFlow.Clos_3Tier_Topology_EqualBalanced_Shortest ................................ Passed 0.00 sec - Start 147: MaskingTests.MaskedSourceWithDestination -116/170 Test #128: MaxFlow.ShortestPath_MustSaturateAllEqualCostPaths ................................ Passed 0.00 sec - Start 159: MaskingTests.ResidualAndNodeMaskCombined -117/170 Test #74: FlowState.EqualBalanced_ZeroCapacityOnShortestPath_ReturnsZero .................... Passed 0.00 sec - Start 84: FlowGraph.PlacementCreatesEntry -118/170 Test #70: FlowState.EqualBalancedReconvergentDAGPlacesAll ................................... Passed 0.00 sec - Start 62: FlowState.ApplyDeltasAdditive -119/170 Test #147: MaskingTests.MaskedSourceWithDestination .......................................... Passed 0.00 sec - Start 30: StrictMultiDiGraph.OutOfRangeNodeThrows -120/170 Test #159: MaskingTests.ResidualAndNodeMaskCombined .......................................... Passed 0.00 sec - Start 139: KShortestPaths.MaxCostFactorLimit -121/170 Test #84: FlowGraph.PlacementCreatesEntry ................................................... Passed 0.00 sec - Start 65: FlowState.ResetRestoresCapacity -122/170 Test #62: FlowState.ApplyDeltasAdditive ..................................................... Passed 0.00 sec - Start 19: StrictMultiDiGraph.SingleEdge -123/170 Test #30: StrictMultiDiGraph.OutOfRangeNodeThrows ........................................... Passed 0.00 sec - Start 151: MaskingTests.MaskedDestinationUnreachable -124/170 Test #139: KShortestPaths.MaxCostFactorLimit ................................................. Passed 0.00 sec - Start 60: FlowState.EqualBalancedDistribution -125/170 Test #65: FlowState.ResetRestoresCapacity ................................................... Passed 0.00 sec - Start 96: MaxFlow.SinglePath_BottleneckConstraint -126/170 Test #19: StrictMultiDiGraph.SingleEdge ..................................................... Passed 0.00 sec - Start 26: StrictMultiDiGraph.ZeroCostEdges -127/170 Test #151: MaskingTests.MaskedDestinationUnreachable ......................................... Passed 0.00 sec - Start 115: MaxFlow.FlowConservation_IntermediateNodes -128/170 Test #60: FlowState.EqualBalancedDistribution ............................................... Passed 0.00 sec - Start 72: FlowState.EqualBalanced_MinFlowGating_DoesNotPruneValidParallelEdges -129/170 Test #96: MaxFlow.SinglePath_BottleneckConstraint ........................................... Passed 0.00 sec - Start 66: FlowState.CustomInitialResidual -130/170 Test #26: StrictMultiDiGraph.ZeroCostEdges .................................................. Passed 0.00 sec - Start 102: MaxFlow.ECMP_ThreePaths_Proportional_ShortestPath -131/170 Test #115: MaxFlow.FlowConservation_IntermediateNodes ........................................ Passed 0.00 sec - Start 101: MaxFlow.ECMP_TwoPaths_EqualBalanced_ShortestPath -132/170 Test #72: FlowState.EqualBalanced_MinFlowGating_DoesNotPruneValidParallelEdges .............. Passed 0.00 sec - Start 95: MaxFlow.SinglePath_BasicLinear -133/170 Test #66: FlowState.CustomInitialResidual ................................................... Passed 0.00 sec - Start 98: MaxFlow.DegenerateCase_SourceEqualsSink -134/170 Test #102: MaxFlow.ECMP_ThreePaths_Proportional_ShortestPath ................................. Passed 0.00 sec - Start 86: FlowGraph.RemoveByClassFiltersCorrectly -135/170 Test #101: MaxFlow.ECMP_TwoPaths_EqualBalanced_ShortestPath .................................. Passed 0.00 sec - Start 73: FlowState.EqualBalanced_DownstreamSplitEqualization -136/170 Test #95: MaxFlow.SinglePath_BasicLinear .................................................... Passed 0.00 sec - Start 119: MaxFlow.NodeMask_BlocksFlowThroughNode -137/170 Test #98: MaxFlow.DegenerateCase_SourceEqualsSink ........................................... Passed 0.00 sec - Start 85: FlowGraph.RemovalDeletesEntry -138/170 Test #86: FlowGraph.RemoveByClassFiltersCorrectly ........................................... Passed 0.00 sec - Start 87: FlowGraph.GetFlowEdgesReturnsDeltas -139/170 Test #73: FlowState.EqualBalanced_DownstreamSplitEqualization ............................... Passed 0.00 sec - Start 163: MaskingTests.MaxFlowWithEdgeMask -140/170 Test #119: MaxFlow.NodeMask_BlocksFlowThroughNode ............................................ Passed 0.00 sec - Start 164: MaskingTests.MaxFlowAllPathsMasked -141/170 Test #85: FlowGraph.RemovalDeletesEntry ..................................................... Passed 0.00 sec - Start 165: MaskingTests.EmptyNodeMaskAllowsAllNodes -142/170 Test #87: FlowGraph.GetFlowEdgesReturnsDeltas ............................................... Passed 0.00 sec - Start 12: FlowPolicyStatic.PerFlowBundleBinding -143/170 Test #163: MaskingTests.MaxFlowWithEdgeMask .................................................. Passed 0.00 sec - Start 169: MaskingTests.AlgorithmsAPIMaskedSource -144/170 Test #164: MaskingTests.MaxFlowAllPathsMasked ................................................ Passed 0.00 sec - Start 13: FlowPolicyStatic.MaskedBundleIsDown -145/170 Test #165: MaskingTests.EmptyNodeMaskAllowsAllNodes .......................................... Passed 0.00 sec - Start 15: FlowPolicyCostBounds.MaxPathCostFactor_UnreachableDst_KeepsSentinelOutOfTheCast -146/170 Test #12: FlowPolicyStatic.PerFlowBundleBinding ............................................. Passed 0.00 sec - Start 14: FlowPolicyStatic.ValidationRejectsForeignAndDisconnectedBundles -147/170 Test #169: MaskingTests.AlgorithmsAPIMaskedSource ............................................ Passed 0.00 sec - Start 55: ShortestPathsTo.FanoutFromInteriorNodeIsRejected -148/170 Test #13: FlowPolicyStatic.MaskedBundleIsDown ............................................... Passed 0.00 sec - Start 166: MaskingTests.EmptyEdgeMaskAllowsAllEdges -149/170 Test #15: FlowPolicyCostBounds.MaxPathCostFactor_UnreachableDst_KeepsSentinelOutOfTheCast ... Passed 0.00 sec - Start 81: FlowState.EqualBalancedLossy_InfiniteRequestFillsWithoutDrops -150/170 Test #14: FlowPolicyStatic.ValidationRejectsForeignAndDisconnectedBundles ................... Passed 0.00 sec - Start 16: FlowPolicyCostBounds.MaxPathCostFactor_HugeProduct_DropsBoundInsteadOfWrapping -151/170 Test #55: ShortestPathsTo.FanoutFromInteriorNodeIsRejected .................................. Passed 0.00 sec - Start 52: ShortestPathsTo.ForwardSpfFromPseudoSourceKeepsOnlyNearestSource -152/170 Test #166: MaskingTests.EmptyEdgeMaskAllowsAllEdges .......................................... Passed 0.00 sec - Start 51: ShortestPathsTo.DistancesMatchForwardDistancesToDst -153/170 Test #81: FlowState.EqualBalancedLossy_InfiniteRequestFillsWithoutDrops ..................... Passed 0.00 sec - Start 170: MaskingTests.AlgorithmsAPIMaxFlowWithMask -154/170 Test #16: FlowPolicyCostBounds.MaxPathCostFactor_HugeProduct_DropsBoundInsteadOfWrapping .... Passed 0.00 sec - Start 82: FlowGraph.LossyPlacementIsReversibleAndDropsStayOutOfLedger -155/170 Test #52: ShortestPathsTo.ForwardSpfFromPseudoSourceKeepsOnlyNearestSource .................. Passed 0.00 sec - Start 167: MaskingTests.AllNodesMaskedNoReachability -156/170 Test #51: ShortestPathsTo.DistancesMatchForwardDistancesToDst ............................... Passed 0.00 sec - Start 168: MaskingTests.AllEdgesMaskedNoReachability -157/170 Test #170: MaskingTests.AlgorithmsAPIMaxFlowWithMask ......................................... Passed 0.00 sec - Start 94: FlowGraphStamp.EqualVersionDivergentCopiesCompareUnequal -158/170 Test #82: FlowGraph.LossyPlacementIsReversibleAndDropsStayOutOfLedger ....................... Passed 0.00 sec - Start 79: FlowState.EqualBalancedLossy_FillAndDropReportsDrops -159/170 Test #167: MaskingTests.AllNodesMaskedNoReachability ......................................... Passed 0.00 sec - Start 53: ShortestPathsTo.FanoutEdgesForceEverySourceIntoTheDag -160/170 Test #168: MaskingTests.AllEdgesMaskedNoReachability ......................................... Passed 0.00 sec - Start 80: FlowState.EqualBalancedLossy_DeficitPropagatesDownstream -161/170 Test #94: FlowGraphStamp.EqualVersionDivergentCopiesCompareUnequal .......................... Passed 0.00 sec - Start 93: FlowGraphStamp.CopiesAndMovesGetFreshUids -162/170 Test #79: FlowState.EqualBalancedLossy_FillAndDropReportsDrops .............................. Passed 0.00 sec -163/170 Test #53: ShortestPathsTo.FanoutEdgesForceEverySourceIntoTheDag ............................. Passed 0.00 sec - Start 145: KSP.MaxCostFactorBelowOne_ReturnsEmptyForAllK - Start 54: ShortestPathsTo.FanoutSkipsUnreachableAndMaskedHeads -164/170 Test #80: FlowState.EqualBalancedLossy_DeficitPropagatesDownstream .......................... Passed 0.00 sec - Start 77: FlowState.EqualBalanced_SaturatedMemberBlocksAdmission -165/170 Test #93: FlowGraphStamp.CopiesAndMovesGetFreshUids ......................................... Passed 0.00 sec - Start 56: ShortestPathsTo.SinglePathModeKeepsOneSuccessorPerNode -166/170 Test #145: KSP.MaxCostFactorBelowOne_ReturnsEmptyForAllK ..................................... Passed 0.00 sec - Start 78: FlowState.EqualBalanced_ProgressesOnlyThroughResidualAwareSpf -167/170 Test #54: ShortestPathsTo.FanoutSkipsUnreachableAndMaskedHeads .............................. Passed 0.00 sec -168/170 Test #77: FlowState.EqualBalanced_SaturatedMemberBlocksAdmission ............................ Passed 0.00 sec -169/170 Test #56: ShortestPathsTo.SinglePathModeKeepsOneSuccessorPerNode ............................ Passed 0.00 sec -170/170 Test #78: FlowState.EqualBalanced_ProgressesOnlyThroughResidualAwareSpf ..................... Passed 0.00 sec - -100% tests passed out of 170 - -Total Test time (real) = 0.10 sec -........................................................................ [ 15%] -........................................................................ [ 30%] -........................................................................ [ 46%] -........................................................................ [ 61%] -........................................................................ [ 77%] -........................................................................ [ 92%] -................................. [100%] -465 passed in 4.07s diff --git a/dev/research/metal_pathfinding/run_aba.sh b/dev/research/metal_pathfinding/run_aba.sh deleted file mode 100644 index 70f8f25..0000000 --- a/dev/research/metal_pathfinding/run_aba.sh +++ /dev/null @@ -1,24 +0,0 @@ -#!/usr/bin/env bash -# Serial fresh-process CPU / Metal / CPU runs. Do not overlap with builds/tests. -set -euo pipefail -cd "$(dirname "$0")/../.." -out=${1:-dev/research/metal_pathfinding/results} -mkdir -p "$out" -unset NGRAPH_CORE_PROFILE -{ - date -u '+%Y-%m-%dT%H:%M:%SZ' - git rev-parse HEAD - sw_vers - sysctl -n machdep.cpu.brand_string hw.memsize hw.ncpu - xcrun clang++ --version - shasum -a 256 dev/research/metal_pathfinding/experiment.mm dev/research/metal_pathfinding/sssp.metal - pmset -g therm -} > "$out/environment.txt" -for phase in a1 b a2; do - top -l 2 -n 8 -o cpu -stats pid,command,cpu,threads > "$out/load-$phase.txt" - ioreg -r -c AGXAccelerator -l | sed -n '/"PerformanceStatistics"/p' > "$out/gpu-load-$phase.txt" - mode=cpu - [[ $phase != b ]] || mode=gpu - build/metal_pathfinding/experiment "$mode" dev/research/metal_pathfinding/sssp.metal full 9 \ - > "$out/$phase.csv" 2> "$out/$phase-stderr.txt" -done diff --git a/dev/research/metal_pathfinding/sssp.metal b/dev/research/metal_pathfinding/sssp.metal deleted file mode 100644 index c8e486c..0000000 --- a/dev/research/metal_pathfinding/sssp.metal +++ /dev/null @@ -1,122 +0,0 @@ -#include -using namespace metal; - -// Research kernels: exact int64, nonnegative costs, one writer per distance. -// Incoming CSR includes a host-computed edge eligibility byte, so double -// capacity comparisons keep their CPU semantics. -constant long INF = 0x7fffffffffffffffL; -struct Params { uint n; uint queries; uint round; uint unused; }; - -kernel void relax_pull(device const int* row [[buffer(0)]], - device const int* col [[buffer(1)]], - device const long* cost [[buffer(2)]], - device const uchar* allowed [[buffer(3)]], - device const long* before [[buffer(4)]], - device long* after [[buffer(5)]], - device atomic_uint* changed [[buffer(6)]], - constant Params& p [[buffer(7)]], - uint tid [[thread_position_in_grid]]) { - if (tid >= p.n * p.queries) return; - uint v = tid % p.n; - uint base = tid - v; - long best = before[tid]; - for (int j = row[v]; j < row[v + 1]; ++j) { - long d = before[base + col[j]]; - if (allowed[j] && d != INF) best = min(best, d + cost[j]); - } - after[tid] = best; - if (best != before[tid]) - atomic_store_explicit(changed + p.round, 1u, memory_order_relaxed); -} - -// A whole SSSP in one threadgroup, with independent queries across groups. -// Each group owns both of its N-element distance arrays. Device-memory barriers -// are local to that group; no unsafe grid-wide barrier or in-place data race. -kernel void solve_group(device const int* row [[buffer(0)]], - device const int* col [[buffer(1)]], - device const long* cost [[buffer(2)]], - device const uchar* allowed [[buffer(3)]], - device long* a [[buffer(4)]], - device long* b [[buffer(5)]], - device uint* rounds [[buffer(6)]], - constant Params& p [[buffer(7)]], - device const int* sources [[buffer(8)]], - uint lane [[thread_index_in_threadgroup]], - uint width [[threads_per_threadgroup]], - uint query [[threadgroup_position_in_grid]]) { - uint base = query * p.n; - for (uint v = lane; v < p.n; v += width) - a[base + v] = (int(v) == sources[query]) ? 0L : INF; - threadgroup atomic_uint changed; - threadgroup_barrier(mem_flags::mem_device); - uint step = 0; - for (; step < p.n; ++step) { - if (lane == 0) atomic_store_explicit(&changed, 0u, memory_order_relaxed); - threadgroup_barrier(mem_flags::mem_threadgroup); - for (uint v = lane; v < p.n; v += width) { - long best = a[base + v]; - for (int j = row[v]; j < row[v + 1]; ++j) { - long d = a[base + col[j]]; - if (allowed[j] && d != INF) best = min(best, d + cost[j]); - } - b[base + v] = best; - if (best != a[base + v]) - atomic_store_explicit(&changed, 1u, memory_order_relaxed); - } - threadgroup_barrier(mem_flags::mem_device | mem_flags::mem_threadgroup); - uint any_changed = atomic_load_explicit(&changed, memory_order_relaxed); - // Every lane must observe this round before lane 0 resets the flag for the - // next one. A barrier *before* the loads alone does not prevent that race. - threadgroup_barrier(mem_flags::mem_threadgroup); - if (any_changed == 0) break; - device long* tmp = a; a = b; b = tmp; - } - // Host selects the output buffer by round parity; convergence leaves a == b. - if (lane == 0) rounds[query] = min(step + 1, p.n); -} - -// Small-graph variant: 2 * N * 8 bytes of threadgroup memory, N <= 2048 on -// this device. Removes repeated device-memory accesses and barriers per round. -kernel void solve_shared(device const int* row [[buffer(0)]], - device const int* col [[buffer(1)]], - device const long* cost [[buffer(2)]], - device const uchar* allowed [[buffer(3)]], - device long* output [[buffer(4)]], - device uint* rounds [[buffer(6)]], - constant Params& p [[buffer(7)]], - device const int* sources [[buffer(8)]], - threadgroup long* scratch [[threadgroup(0)]], - uint lane [[thread_index_in_threadgroup]], - uint width [[threads_per_threadgroup]], - uint query [[threadgroup_position_in_grid]]) { - threadgroup long* a = scratch; - threadgroup long* b = scratch + p.n; - for (uint v = lane; v < p.n; v += width) - a[v] = (int(v) == sources[query]) ? 0L : INF; - threadgroup atomic_uint changed; - threadgroup_barrier(mem_flags::mem_threadgroup); - uint step = 0; - for (; step < p.n; ++step) { - if (lane == 0) atomic_store_explicit(&changed, 0u, memory_order_relaxed); - threadgroup_barrier(mem_flags::mem_threadgroup); - bool lane_changed = false; - for (uint v = lane; v < p.n; v += width) { - long best = a[v]; - for (int j = row[v]; j < row[v + 1]; ++j) { - long d = a[col[j]]; - if (allowed[j] && d != INF) best = min(best, d + cost[j]); - } - b[v] = best; - lane_changed |= best != a[v]; - } - if (simd_any(lane_changed) && (lane % 32 == 0)) - atomic_store_explicit(&changed, 1u, memory_order_relaxed); - threadgroup_barrier(mem_flags::mem_threadgroup); - threadgroup long* tmp = a; a = b; b = tmp; - uint any_changed = atomic_load_explicit(&changed, memory_order_relaxed); - threadgroup_barrier(mem_flags::mem_threadgroup); - if (any_changed == 0) break; - } - for (uint v = lane; v < p.n; v += width) output[query * p.n + v] = a[v]; - if (lane == 0) rounds[query] = min(step + 1, p.n); -} diff --git a/dev/research/metal_pathfinding/summarize.py b/dev/research/metal_pathfinding/summarize.py deleted file mode 100644 index 217d582..0000000 --- a/dev/research/metal_pathfinding/summarize.py +++ /dev/null @@ -1,74 +0,0 @@ -"""Summarize fresh-process A/B/A CSVs; timings are milliseconds per whole batch.""" - -from __future__ import annotations - -import csv -import sys -from pathlib import Path - - -def read(path: Path) -> dict[tuple[str, int, int, int], dict[str, dict[str, str]]]: - cases: dict[tuple[str, int, int, int], dict[str, dict[str, str]]] = {} - with path.open() as file: - for row in csv.DictReader(file): - assert row["correct"] == "pass", row - key = (row["case"], int(row["n"]), int(row["e"]), int(row["queries"])) - cases.setdefault(key, {})[row["method"]] = row - return cases - - -def main() -> None: - root = Path(sys.argv[1]) - a1, b, a2 = (read(root / name) for name in ("a1.csv", "b.csv", "a2.csv")) - assert a1.keys() == b.keys() == a2.keys() - print("Exploratory observations, not a production performance acceptance result.") - print( - "Inspect load-*.txt and gpu-load-*.txt; speedup claims require a quiet machine." - ) - print("The prototype matches supported DAG edge sets, not CPU predecessor order.\n") - print("All times are medians in milliseconds per batch, with nine timed samples.") - print("CPU A columns use serial SPF for Q=1 and the 10-worker pool otherwise.") - print("GPU includes host distance copies and serial CPU ECMP DAG reconstruction.") - print("Upload and pipeline setup are excluded and recorded separately in raw data.") - print("The table picks the fastest measured GPU method for each case.\n") - print( - "| Case | V / E | Q | CPU A1 | GPU B | CPU A2 | GPU method | " - "Distance-only B | CPU drift |" - ) - print("|---|---:|---:|---:|---:|---:|---|---:|---:|") - for key, runs in b.items(): - name, n, e, q = key - baseline = "cpu_full" if q == 1 else "cpu_pool10" - left = float(a1[key][baseline]["wall_ms"]) - right = float(a2[key][baseline]["wall_ms"]) - best = min(runs.values(), key=lambda row: float(row["wall_ms"])) - dist = float(best["distance_wall_ms"]) - drift = 100 * (right / left - 1) - print( - f"| {name} | {n:,} / {e:,} | {q} | {left:.3f} | " - f"{float(best['wall_ms']):.3f} | {right:.3f} | {best['method']} | " - f"{dist:.3f} | {drift:+.1f}% |" - ) - print( - "\nDistance-only timings stop before DAG reconstruction; they are not SPF API timings." - ) - print( - "CPU distance-only and serial full-batch controls are also available in a1/a2.csv." - ) - print("\nDistances-only comparison (both sides omit DAG construction):\n") - print("| Case | V / E | Q | CPU A1 | GPU B | CPU A2 | GPU method |") - print("|---|---:|---:|---:|---:|---:|---|") - for key, runs in b.items(): - name, n, e, q = key - baseline = "cpu_distance" if q == 1 else "cpu_pool10_distance" - left = float(a1[key][baseline]["wall_ms"]) - right = float(a2[key][baseline]["wall_ms"]) - best = min(runs.values(), key=lambda row: float(row["distance_wall_ms"])) - print( - f"| {name} | {n:,} / {e:,} | {q} | {left:.3f} | " - f"{float(best['distance_wall_ms']):.3f} | {right:.3f} | {best['method']} |" - ) - - -if __name__ == "__main__": - main() diff --git a/dev/run-checks.sh b/dev/run-checks.sh index b3f50d4..d3687ee 100755 --- a/dev/run-checks.sh +++ b/dev/run-checks.sh @@ -1,138 +1,228 @@ -#!/bin/bash -# NetGraph-Core: Comprehensive checks and tests -# - Pre-commit (auto-fix, then verify) -# - C++ tests via ctest (optional, if cmake is available) -# - Python tests (with coverage if pytest-cov is available) - -set -e -set -u -set -o pipefail - -# Prefer provided PYTHON env (passed from Makefile), fallback to python3 +#!/usr/bin/env bash +# The Python-side check entrypoints. Each one only reads the tree: formatting and fixes are +# `make format` and `make hooks`. +# +# bash dev/run-checks.sh pytest on [PYTEST_ARGS...] +# The Python suite against the netgraph_core that $PYTHON imports, which must carry the +# private hooks (the editable development build): no test may skip. (make check-ci) +# bash dev/run-checks.sh pytest off [PYTEST_ARGS...] +# The Python suite against an installed, non-editable netgraph_core without the hooks (a +# wheel, or a build from the sdist): exactly the tests that need a hook skip. (release CI) +# bash dev/run-checks.sh cov +# C++ and Python coverage (make cov): a coverage venv of its own (build/coverage-venv, pinned +# by .github/ci-constraints.txt; the development venv is not touched), the extension and the +# C++ tests built with coverage in their own build directories, every build, test and +# report failure fails the run, and so does coverage that was not measured: no profile +# data written in either build directory, no file of the C++ report under one of its +# filters, or a report that counts no line. Reports in build/coverage/. +# +# PYTHON names the interpreter (default python3); CMAKE_BUILD_PARALLEL_LEVEL bounds the builds, +# ctest and gcovr (default 4; exported, so it also reaches the extension's build under pip); GCOV +# names the gcov command gcovr runs (default: xcrun llvm-cov gcov on macOS, llvm-cov gcov when CXX +# is clang, gcov otherwise). +set -euo pipefail +cd "$(dirname "${BASH_SOURCE[0]}")/.." +ROOT=$PWD PYTHON=${PYTHON:-python3} -# Prepend the directory of the configured Python (usually venv/bin) to PATH -PY_BIN_DIR=$(dirname "$PYTHON") -export PATH="$PY_BIN_DIR:$PATH" -# If running within project venv, also prepend its bin to PATH so cmake/ninja resolve from venv -if [ -n "${VIRTUAL_ENV:-}" ] && [ -x "$VIRTUAL_ENV/bin/python" ]; then - export PATH="$VIRTUAL_ENV/bin:$PATH" -fi +JOBS=${CMAKE_BUILD_PARALLEL_LEVEL:-4} +case "$JOBS" in ''|*[!0-9]*|0) echo 'CMAKE_BUILD_PARALLEL_LEVEL must be positive.' >&2; exit 2 ;; esac +export CMAKE_BUILD_PARALLEL_LEVEL=$JOBS -# Prefer Apple Command Line Tools compilers to avoid Homebrew libc++ ABI mismatches -APPLE_CLANG=$(xcrun --find clang 2>/dev/null || true) -APPLE_CLANGXX=$(xcrun --find clang++ 2>/dev/null || true) -DEFAULT_MACOSX=15.0 -if [ -n "$APPLE_CLANG" ] && [ -n "$APPLE_CLANGXX" ]; then - export CC="$APPLE_CLANG" - export CXX="$APPLE_CLANGXX" - export CMAKE_ARGS="${CMAKE_ARGS:-} -DCMAKE_C_COMPILER=$CC -DCMAKE_CXX_COMPILER=$CXX" -fi -export MACOSX_DEPLOYMENT_TARGET="${MACOSX_DEPLOYMENT_TARGET:-$DEFAULT_MACOSX}" +# The Python tests that need the private hooks and skip without them, by pytest node id, one per +# line (an id can contain spaces); every replay of the fixtures produced by the reference under +# tests/reference/policy/ (the parametrizations of test_fixture) skips as well. +EXPECTED_OFF_SKIPS=" +tests/py/test_apportionment.py::test_apportionment_entries +tests/py/test_dag_cache.py::test_frozen_statistics_survive_python_allocation_failures +tests/py/test_dag_cache.py::test_the_frozen_sweep_rejects_a_wrong_call +tests/py/test_flow_ledger.py::test_a_flow_id_read_passes_an_allocation_failure_through +tests/py/test_flow_policy.py::test_evaluator_results_survive_python_allocation_failures +tests/py/test_flow_policy.py::test_owner_hook_is_the_owner_of_the_records +tests/py/test_flow_policy.py::test_python_publication_is_all_or_nothing[False-costonly] +tests/py/test_flow_policy.py::test_python_publication_is_all_or_nothing[False-global] +tests/py/test_flow_policy.py::test_python_publication_is_all_or_nothing[True-costonly] +tests/py/test_flow_policy.py::test_python_publication_is_all_or_nothing[True-global] +tests/py/test_flow_policy_fixtures.py::test_a_corrupted_expectation_fails[ledger] +tests/py/test_flow_policy_fixtures.py::test_a_corrupted_expectation_fails[policy] +tests/py/test_flow_policy_fixtures.py::test_a_corrupted_expectation_fails[result] +tests/py/test_flow_policy_fixtures.py::test_a_corrupted_expectation_fails[trace] +tests/py/test_flow_policy_fixtures.py::test_every_other_replay_clause_reports_its_operation +tests/py/test_flow_policy_fixtures.py::test_an_expected_value_of_another_type_fails[bool as integer] +tests/py/test_flow_policy_fixtures.py::test_an_expected_value_of_another_type_fails[integer as float] +tests/py/test_ksp.py::test_python_result_lists_are_all_or_nothing +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[FlowLedger.reset] +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[batch_capacity.global] +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[capacity.frozen_cache] +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[capacity.global] +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[ksp] +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[place.costonly] +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[place.global] +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[place_traced.global] +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[resolve_to_paths] +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[sensitivity.global] +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[spf.full] +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[spf.single_path] +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[spf.targets_residual] +tests/py/test_native_allocation.py::test_the_row_checks_reject_a_wrong_call +tests/py/test_search.py::test_python_result_construction_is_all_or_nothing +tests/py/test_search.py::test_the_python_allocation_sweep_rejects_a_wrong_call +" +EXPECTED_OFF_SKIPPED_PREFIX='tests/py/test_flow_policy_fixtures.py::test_fixture[' -# Ensure required tools are present -if ! "$PYTHON" -m pre_commit --version &> /dev/null; then - echo "❌ pre-commit is not installed. Please run 'make dev' first." - exit 1 -fi -if ! "$PYTHON" -m pytest --version &> /dev/null; then - echo "❌ pytest is not installed. Please run 'make dev' first." - exit 1 -fi +die() { echo "dev/run-checks.sh: $*" >&2; exit 1; } +TMP=$(mktemp -d) +trap 'rm -rf "$TMP"' EXIT -# Ensure pre-commit hooks are installed (if in a git repo) -if [ -d .git ] && [ ! -f .git/hooks/pre-commit ]; then - echo "⚠️ Pre-commit hooks not installed. Installing now..." - "$PYTHON" -m pre_commit install - echo "" +if [[ "$(uname -s)" == Darwin ]]; then + CC=$(xcrun --find clang) + CXX=$(xcrun --find clang++) + export CC CXX + export MACOSX_DEPLOYMENT_TARGET="${MACOSX_DEPLOYMENT_TARGET:-15.0}" fi -# First pass: allow auto-fixes -echo "🏃 Running pre-commit (first pass: apply auto-fixes if needed)..." -set +e -"$PYTHON" -m pre_commit run --all-files -first_pass_status=$? -set -e - -if [ $first_pass_status -ne 0 ]; then - echo "ℹ️ Some hooks modified files or reported issues. Re-running checks..." -fi +# run_pytest on|off [PYTEST_ARGS...]: the suite, then the check of what was imported and skipped. +# A small plugin records the skipped node ids and the imported modules (PYTEST_ADDOPTS and its +# reports stay the caller's). +run_pytest() { + local hooks=$1 tmp=$TMP/pytest; shift + rm -rf "$tmp"; mkdir -p "$tmp" + cat > "$tmp/ngc_skip_record.py" <<'PY' +import json +import os +import sys -# Second pass: verify all checks -echo "🏃 Running pre-commit (second pass: verify all checks)..." -if ! "$PYTHON" -m pre_commit run --all-files; then - echo "" - echo "❌ Pre-commit checks failed after applying fixes. Please address the issues above." - exit 1 -fi +_seen, _skipped = set(), {} -autofixed=0 -if [ $first_pass_status -ne 0 ]; then - autofixed=1 -fi -echo "" -echo "✅ Pre-commit checks passed!" -echo "" +def pytest_runtest_logreport(report): + _seen.add(report.nodeid) + if report.skipped: + _skipped[report.nodeid] = str(report.longrepr[-1] if isinstance(report.longrepr, tuple) else report.longrepr) -# Optional: Run C++ tests via ctest if cmake is available (and not skipped) -if [ "${SKIP_CPP_TESTS:-0}" = "1" ]; then - echo "⏭️ SKIP_CPP_TESTS=1 set. Skipping C++ tests." -else - echo "🔧 Checking for CMake to run C++ tests..." - if command -v cmake >/dev/null 2>&1; then - if [ "${SKIP_CPP_TESTS:-0}" != "1" ]; then - echo "🧪 Running C++ tests (ctest)..." - BUILD_DIR="build/cpp-tests" - mkdir -p "$BUILD_DIR" - GEN_ARGS="" - if command -v ninja >/dev/null 2>&1; then - GEN_ARGS="-G Ninja" - fi - cmake -S . -B "$BUILD_DIR" -DNETGRAPH_CORE_BUILD_TESTS=ON -DCMAKE_BUILD_TYPE=Release $GEN_ARGS - cmake --build "$BUILD_DIR" --config Release -j - # Determine parallelism - if command -v sysctl >/dev/null 2>&1; then - NPROC=$(sysctl -n hw.ncpu 2>/dev/null || echo 2) - elif command -v nproc >/dev/null 2>&1; then - NPROC=$(nproc) - else - NPROC=2 - fi - # Add per-test timeout to avoid hangs - ctest --test-dir "$BUILD_DIR" --output-on-failure -j "$NPROC" --timeout 120 - fi - else - echo "⚠️ CMake not found. Skipping C++ tests." - fi -fi -echo "" +def pytest_sessionfinish(session, exitstatus): + ext = sys.modules.get("_netgraph_core") + pkg = sys.modules.get("netgraph_core") + record = { + "seen": sorted(_seen), + "skipped": _skipped, + "hooks": hasattr(ext, "_max_flows_per_call"), + "modules": [getattr(ext, "__file__", None), getattr(pkg, "__file__", None)], + } + with open(os.environ["NGC_SKIP_RECORD"], "w") as f: + json.dump(record, f) +PY + NGC_SKIP_RECORD="$tmp/record.json" PYTHONPATH="$tmp${PYTHONPATH:+:$PYTHONPATH}" \ + "$PYTHON" -m pytest -p ngc_skip_record "$@" + [[ -s "$tmp/record.json" ]] || die "pytest wrote no record of its run" + echo "$EXPECTED_OFF_SKIPS" | sed '/^$/d' > "$tmp/expected.txt" + "$PYTHON" - "$hooks" "$tmp/record.json" "$tmp/expected.txt" "$EXPECTED_OFF_SKIPPED_PREFIX" "$ROOT" <<'PY' +import json +import os +import sys -# Run Python tests (with coverage if available) -echo "🧪 Running Python tests..." -# Ensure the extension is built for the active Python and importable -echo "🔧 Installing project in editable mode for current Python..." -"$PYTHON" -m pip install -e . >/dev/null -if "$PYTHON" -c "import pytest_cov" >/dev/null 2>&1; then - "$PYTHON" -m pytest --cov=netgraph_core --cov-report=term-missing -else - "$PYTHON" -m pytest -fi +hooks, record_path, expected_path, prefix, root = sys.argv[1:] +record = json.load(open(record_path)) +# One node id per line: an id can hold spaces (a parametrization id such as "[integer as +# float]"), so the list is never split on other whitespace. +with open(expected_path) as f: + expected = {line.strip() for line in f if line.strip()} +skipped = record["skipped"] +problems = [] +if None in record["modules"]: + problems.append(f"netgraph_core or _netgraph_core was not imported: {record['modules']}") +if hooks == "on": + if not record["hooks"]: + problems.append("the extension lacks the private hooks (expected the editable build)") + if skipped: + problems.append(f"{len(skipped)} tests skipped in a hooks-on run: {sorted(skipped)}") +else: + if record["hooks"]: + problems.append("the extension carries the private hooks (expected a wheel or sdist build)") + inside = [m for m in record["modules"] if m and os.path.realpath(m).startswith(os.path.realpath(root) + os.sep)] + if inside: + problems.append(f"imported from the source tree, not an installation: {inside}") + replays = {n for n in record["seen"] if n.startswith(prefix)} + if not replays: + problems.append(f"no test {prefix}...] ran") + want = expected | replays + got = set(skipped) + for name in sorted(want - got): + problems.append(f"expected to skip, did not: {name}") + for name in sorted(got - want): + problems.append(f"skipped, not a known hook-only test: {name}") + for name, reason in sorted(skipped.items()): + if "needs the private hooks" not in reason: + problems.append(f"skipped for another reason: {name}: {reason}") +for p in problems: + print(f"dev/run-checks.sh: {p}", file=sys.stderr) +if problems: + sys.exit(1) +if hooks == "off": + print(f"hooks off: exactly the {len(skipped)} expected hook-only tests skipped; imported {record['modules'][0]}") +else: + print(f"hooks on: no test skipped; imported {record['modules'][0]}") +PY +} -if [ $? -eq 0 ]; then - echo "" - if [ $autofixed -eq 1 ]; then - echo "🎉 All checks and tests passed. Auto-fixes were applied by pre-commit." +coverage() { + local cvenv=build/coverage-venv ext=build/coverage-ext cpp=build/cpp-tests-cov out=build/coverage + local gcov dir root filters=(include/ src/ bindings/) + rm -rf "$cvenv" "$out" + mkdir -p "$out" + echo "== coverage venv $cvenv (pins: .github/ci-constraints.txt)" + "$PYTHON" -m venv "$cvenv" + local cpy=$ROOT/$cvenv/bin/python + "$cpy" -m pip install --disable-pip-version-check -q -U -c .github/ci-constraints.txt pip + "$cpy" -m pip install --disable-pip-version-check -q -c .github/ci-constraints.txt \ + scikit-build-core pybind11 cmake ninja numpy pytest pytest-cov gcovr + export PATH="$ROOT/$cvenv/bin:$PATH" + echo "== the extension with coverage (editable, hooks on, Debug) in $ext" + "$cpy" -m pip install --disable-pip-version-check --no-build-isolation --no-deps -e . \ + -C build-dir="$ext" -C cmake.build-type=Debug \ + -C cmake.define.NETGRAPH_CORE_COVERAGE=ON -C cmake.define.NETGRAPH_CORE_PRIVATE_HOOKS=ON + # gcovr reads every profile (.gcda file) it finds and reports no data, or old data, without + # failing: the profiles of earlier runs go first, and each build directory must then hold + # profiles that this run's tests wrote. + find "$ext" -name '*.gcda' -delete + [[ ! -d "$cpp" ]] || find "$cpp" -name '*.gcda' -delete + echo "== Python tests with coverage" + PYTHON=$cpy run_pytest on --cov=netgraph_core --cov-report=term-missing \ + --cov-report=xml:"$out/coverage-python.xml" + echo "== C++ tests with coverage" + bash dev/cpp-tests.sh coverage + for dir in "$ext" "$cpp"; do + [[ -n "$(find "$dir" -name '*.gcda' -print -quit)" ]] || + die "no C++ profile data in $dir: the tests that ran wrote no coverage there" + done + echo "== C++ coverage report (gcovr: the library, the bindings and the headers)" + if [[ "$(uname -s)" == Darwin ]]; then + gcov="xcrun llvm-cov gcov" + elif [[ "${CXX:-}" == *clang* ]]; then + gcov="llvm-cov gcov" else - echo "🎉 All checks and tests passed." + gcov=gcov fi -else - echo "" - if [ $autofixed -eq 1 ]; then - echo "❌ Some tests failed. Note: auto-fixes were applied earlier by pre-commit." - else - echo "❌ Some tests failed." - fi - exit 1 -fi + gcov=${GCOV:-$gcov} + "$cpy" -m gcovr --root . --gcov-executable "$gcov" -j "$JOBS" \ + "${filters[@]/#/--filter=}" --xml-pretty -o "$out/coverage-cpp.xml" "$ext" "$cpp" + "$cpy" dev/coverage_summary.py "$out/coverage-python.xml" "$out/coverage-cpp.xml" \ + --html="$out/coverage-combined.html" + # A filter that matches no file (a moved directory) would leave that part out silently. + for root in "${filters[@]}"; do + grep -q "filename=\"$root" "$out/coverage-cpp.xml" || + die "the C++ coverage report has no file under $root" + done + echo "Coverage ready in $out/: coverage-python.xml, coverage-cpp.xml, coverage-combined.html" +} + +case "${1:-}" in + pytest) + case "${2:-}" in on|off) ;; *) die "usage: dev/run-checks.sh pytest on|off [PYTEST_ARGS...]" ;; esac + hooks=$2; shift 2 + run_pytest "$hooks" "$@" + ;; + cov) coverage ;; + *) echo 'Usage: bash dev/run-checks.sh pytest on|off [PYTEST_ARGS...] | cov' >&2; exit 2 ;; +esac diff --git a/dev/stubs/check_clients.py b/dev/stubs/check_clients.py new file mode 100644 index 0000000..dd2c787 --- /dev/null +++ b/dev/stubs/check_clients.py @@ -0,0 +1,234 @@ +"""Type-check the client programs of tests/typing against the installed netgraph_core. + +Run by ``bash dev/stubs/run.sh check`` with the interpreter of an environment holding an +installed netgraph_core (a wheel, or an installation built from the sdist) and pinned Pyright: + +* the installation is the one checked: netgraph_core is imported from this interpreter's + site-packages, its __init__.pyi equals the committed stub byte for byte, py.typed is there and + _docs.py is not; Pyright's search paths (its verbose log) hold that site-packages and not the + source tree's python/ directory, and the clients run from a copy outside the source tree; +* tests/typing/valid_client.py: zero Pyright diagnostics of any severity, and it runs; +* tests/typing/invalid_client.py: the diagnostics are exactly the lines marked + ``# expect: RULE[, RULE...]`` (one diagnostic of each rule listed), at least one per typing + case of REQUIRED below; +* a control: a copy of the valid client with one wrong line appended gets exactly that one + diagnostic (the valid client is analysed, its zero is not vacuous); +* every Pyright run ends normally (``pyright`` below); one that does not stops the check. + +Usage: python -I dev/stubs/check_clients.py LABEL WORK_DIR +""" + +from __future__ import annotations + +import collections +import importlib +import json +import os +import re +import shutil +import subprocess +import sys +import sysconfig +from pathlib import Path + +ROOT = Path(__file__).resolve().parents[2] +CLIENTS = ROOT / "tests/typing" +STUB = ROOT / "python/netgraph_core/__init__.pyi" +EXPECT = re.compile(r"#\s*expect:\s*(\w+(?:\s*,\s*\w+)*)\s*$") +# The typing cases the invalid client must keep, one per marked line (the result classes the +# module refuses to construct, wrong dtypes, wrong argument types, missing Optional checks; a +# line containing the text, marked): a marked line deleted with its mark is caught. +REQUIRED = [ + "ng.Eligibility()", + "ng.PredDAG()", + "ng.FlowRecord()", + "ng.PlacementResult()", + "ng.DagCacheStats()", + "ng.SensitivityEntry()", + "ng.SensitivityResult()", + "ng.SpfResult()", + "npt.NDArray[np.float64] = g.capacity_units()", + "text: str = g.capacity_units().item(0)", + 'ng.Graph("wrong"', + "ng.Graph(2, [0], [1], [1.5]", + "ng.FlowLedger(g, residual=np.zeros(1, dtype=np.float64))", + "ng.spf(g, 0, ng.KspOptions(1, sel))", + "ng.capacity(g, 0, 1, ng.SensitivityOptions(cfg))", + "ng.CapacityAware(max_path_cost=guard)", + 'ng.to_units("1.5", 1.0)', + "ng.Path(g, np.zeros((1, 1), dtype=np.float64))", + "ng.batch_capacity(g, float_pairs,", + "cost: int = result.target_cost", + "first = result.costs[0]", + "total = flows.sum()", +] + + +def fail(label: str, problems: list[str]) -> int: + for p in problems: + print(f"dev/stubs/check_clients.py [{label}]: {p}", file=sys.stderr) + return 1 + + +def installation(problems: list[str]) -> Path: + pkg = importlib.import_module("netgraph_core") + where = Path(os.path.realpath(pkg.__file__ or "")).parent + roots = {os.path.realpath(sysconfig.get_paths()[k]) for k in ("purelib", "platlib")} + if not any(str(where).startswith(r + os.sep) for r in roots): + problems.append(f"netgraph_core imported from {where}, not this site-packages") + stub = where / "__init__.pyi" + if not stub.is_file(): + problems.append(f"the installation has no {stub.name}") + elif stub.read_bytes() != STUB.read_bytes(): + problems.append(f"{stub} differs from the committed {STUB.relative_to(ROOT)}") + if not (where / "py.typed").is_file(): + problems.append("the installation has no py.typed") + if (where / "_docs.py").exists(): + problems.append("the installation still carries _docs.py") + return where + + +def pyright(work: Path, verbose: bool = False) -> dict: + """Pyright on the project in ``work``: its verbose log, or its JSON report. Exits with the + reason unless Pyright ended normally: exit status 0 (no error) or 1 (errors reported), not + a signal or another status (a fatal error, a bad configuration or command line), and for + the report, standard output that is one JSON report whose error count agrees with the + status.""" + cmd = [sys.executable, "-m", "pyright", "--pythonpath", sys.executable] + cmd += ["--project", str(work), "--verbose" if verbose else "--outputjson"] + proc = subprocess.run(cmd, capture_output=True, text=True, cwd=work) + out = proc.stdout + proc.stderr + (work / ("pyright-verbose.log" if verbose else "pyright.json")).write_text(out) + if proc.returncode < 0: + sys.exit(f"pyright was killed by signal {-proc.returncode} on {work}:\n{out}") + if proc.returncode not in (0, 1): + sys.exit(f"pyright failed (exit {proc.returncode}) on {work}:\n{out}") + if verbose: + return {"log": out} + try: + report = json.loads(proc.stdout) + except json.JSONDecodeError: + sys.exit(f"pyright gave no JSON (exit {proc.returncode}):\n{out}") + if not isinstance(report, dict): + report = {} + summary = report.get("summary") + errors = summary.get("errorCount") if isinstance(summary, dict) else None + if ( + not isinstance(report.get("generalDiagnostics"), list) + or type(errors) is not int + or proc.returncode != (errors > 0) + ): + sys.exit( + f"pyright's report is not one of a complete run (exit {proc.returncode}):\n{out}" + ) + return report + + +def diagnostics(report: dict) -> dict[str, collections.Counter]: + got: dict[str, collections.Counter] = collections.defaultdict(collections.Counter) + for d in report.get("generalDiagnostics", []): + line = d["range"]["start"]["line"] + 1 + got[Path(d["file"]).name][(line, d.get("rule", d["severity"]))] += 1 + return got + + +def main() -> int: + if len(sys.argv) != 3: + sys.exit("usage: check_clients.py LABEL WORK_DIR") + label, work = sys.argv[1], Path(sys.argv[2]).resolve() + problems: list[str] = [] + site = installation(problems) + shutil.rmtree(work, ignore_errors=True) + work.mkdir(parents=True) + names = ["valid_client.py", "invalid_client.py"] + for name in names: + shutil.copyfile(CLIENTS / name, work / name) + version = f"{sys.version_info.major}.{sys.version_info.minor}" + (work / "pyrightconfig.json").write_text( + json.dumps( + { + "include": names, + "typeCheckingMode": "standard", + "pythonVersion": version, + }, + indent=2, + ) + ) + + log = pyright(work, verbose=True)["log"] + paths = [ln.strip() for ln in log.splitlines() if ln.startswith(" ")] + if not any( + os.path.realpath(p) == str(site.parent) for p in paths if os.path.isdir(p) + ): + problems.append( + f"Pyright's search paths do not hold {site.parent} (pyright-verbose.log)" + ) + source = os.path.realpath(ROOT / "python") + if any(os.path.realpath(p) == source for p in paths if os.path.isdir(p)): + problems.append("Pyright searches the source tree's python/ directory") + + report = pyright(work) + got = diagnostics(report) + if got["valid_client.py"]: + for (line, rule), n in sorted(got["valid_client.py"].items()): + problems.append( + f"valid_client.py:{line}: {n} unexpected diagnostic(s) {rule}" + ) + + lines = (work / "invalid_client.py").read_text().splitlines() + want: collections.Counter = collections.Counter() + for i, text in enumerate(lines, 1): + m = EXPECT.search(text) + if m: + for rule in re.split(r"\s*,\s*", m.group(1)): + want[(i, rule)] += 1 + for case in REQUIRED: + if not any(case in t and EXPECT.search(t) for t in lines): + problems.append(f"invalid_client.py lost the marked case {case!r}") + for key in sorted(set(want) | set(got["invalid_client.py"])): + w, g = want[key], got["invalid_client.py"][key] + if w != g: + problems.append( + f"invalid_client.py:{key[0]}: {key[1]} expected {w}, got {g}" + ) + details = { + (d["range"]["start"]["line"] + 1, d.get("rule")): d["message"].splitlines()[0] + for d in report.get("generalDiagnostics", []) + if Path(d["file"]).name == "invalid_client.py" + } + + # The control: one wrong line appended to a copy of the valid client. + control = work / "control" + control.mkdir() + planted = (CLIENTS / "valid_client.py").read_text() + "oops: str = g.num_edges()\n" + (control / "valid_client.py").write_text(planted) + (control / "pyrightconfig.json").write_text( + json.dumps({"include": ["valid_client.py"], "typeCheckingMode": "standard"}) + ) + seen = diagnostics(pyright(control))["valid_client.py"] + last = len(planted.splitlines()) + if seen != collections.Counter({(last, "reportAssignmentType"): 1}): + problems.append(f"control: the planted line {last} gave {dict(seen)}") + + run = subprocess.run( + [sys.executable, "-I", str(work / "valid_client.py")], + capture_output=True, + text=True, + ) + if run.returncode != 0: + problems.append(f"valid_client.py does not run:\n{run.stderr}") + + if problems: + return fail(label, problems) + print( + f"[{label}] {site}: stub identical to the committed one; valid client: 0 " + f"diagnostics and it runs (control: a planted line caught); invalid client: " + f"{sum(want.values())} expected diagnostics on {len({k[0] for k in want})} lines, no other" + ) + for (line, rule), message in sorted(details.items()): + print(f" invalid_client.py:{line}: {rule}: {message}") + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/dev/stubs/check_contents.py b/dev/stubs/check_contents.py new file mode 100644 index 0000000..285da49 --- /dev/null +++ b/dev/stubs/check_contents.py @@ -0,0 +1,168 @@ +"""Check the files of the wheel and the sdist against the files intended for them. + +Run by ``bash dev/stubs/run.sh check`` with the wheel and the sdist it built from this checkout: + +* the sdist holds exactly the intended source files, plus the PKG-INFO the backend writes. The + intended files are the checkout's files that git tracks or would track (new files git does + not ignore) under the top-level entries of SDIST_TOP, without tests/reference/. That rule is + the one of pyproject.toml's sdist.include and sdist.exclude, repeated here so that a change + to that list is caught. A file git ignores (a cache, a compiled module, a local tool's + output) or a file outside those entries is refused, and so is an intended file left out; +* the wheel holds exactly the package files of the sdist's python/netgraph_core/ under + netgraph_core/, one compiled extension module, and its .dist-info directory with the + metadata files and both licence notices (the project's and pybind11's); +* both carry the stub, py.typed and the licence notices, and neither carries a _docs.py. + +The one file git cannot tell apart from an intended one is a new file it does not ignore inside +a shipped directory: ``git status`` lists it, and CI builds from a clean checkout. + +Usage: python -I dev/stubs/check_contents.py WHEEL SDIST WORK_DIR +""" + +from __future__ import annotations + +import re +import subprocess +import sys +import tarfile +import zipfile +from collections.abc import Iterable +from pathlib import Path + +ROOT = Path(__file__).resolve().parents[2] +# The top-level files and directories the sdist ships (a directory ends with "/") and the +# directories under them it leaves out. +SDIST_TOP = ( + ".coveragerc", + ".gitignore", + "CHANGELOG.md", + "CMakeLists.txt", + "CONTRIBUTING.md", + "LICENSE", + "README.md", + "pyproject.toml", + "bindings/", + "docs/", + "include/", + "python/", + "src/", + "tests/", + "third_party/", +) +SDIST_LEFT_OUT = ("tests/reference/",) +PACKAGE = "python/netgraph_core/" +NEED = { + "wheel": [ + "netgraph_core/__init__.py", + "netgraph_core/__init__.pyi", + "netgraph_core/py.typed", + ], + "sdist": [ + "python/netgraph_core/__init__.py", + "python/netgraph_core/__init__.pyi", + "python/netgraph_core/py.typed", + "LICENSE", + "third_party/pybind11/LICENSE", + ], +} +EXTENSION = re.compile(r"_netgraph_core\.[^/]+\.(so|pyd)") +DIST_INFO = re.compile(r"netgraph_core-[^/]+\.dist-info/") +DIST_INFO_FILES = { + "METADATA", + "WHEEL", + "RECORD", + "licenses/LICENSE", + "licenses/third_party/pybind11/LICENSE", +} + + +def shipped(name: str) -> bool: + """Whether the sdist rule selects the checkout path ``name``.""" + if name.startswith(SDIST_LEFT_OUT): + return False + return any( + name.startswith(top) if top.endswith("/") else name == top for top in SDIST_TOP + ) + + +def checkout_files(root: Path) -> list[str]: + """The checkout's files that git tracks or would track (a new file it does not ignore), + as they are on disk now: a tracked file deleted from the work tree is not one.""" + cmd = ["git", "-C", str(root), "ls-files", "-z", "--cached", "--others"] + try: + out = subprocess.run( + [*cmd, "--exclude-standard"], capture_output=True, check=True + ).stdout + except (OSError, subprocess.CalledProcessError) as exc: + sys.exit( + f"dev/stubs/check_contents.py: cannot list the checkout's files ({exc})" + ) + names = {n for n in out.decode("utf-8").split("\0") if n} + return sorted(n for n in names if (root / n).is_file()) + + +def problems( + wheel: Iterable[str], sdist: Iterable[str], intended: Iterable[str] +) -> list[str]: + """What is wrong with the member names of the wheel and of the sdist (the sdist's without + their top directory), given the checkout files ``intended`` for the sdist.""" + wheel, sdist = set(wheel), set(sdist) + want_sdist = {n for n in intended if shipped(n)} | {"PKG-INFO"} + package = {n[len(PACKAGE) :] for n in want_sdist if n.startswith(PACKAGE)} + out = [] + for kind, names in (("wheel", wheel), ("sdist", sdist)): + out += [f"the {kind} lacks {n}" for n in NEED[kind] if n not in names] + out += [ + f"the {kind} carries {n}" for n in sorted(names) if n.endswith("_docs.py") + ] + out += [ + f"the sdist carries {n}, not an intended file" + for n in sorted(sdist - want_sdist) + ] + out += [f"the sdist lacks {n}" for n in sorted(want_sdist - sdist)] + + extensions = sorted(n for n in wheel if EXTENSION.fullmatch(n)) + if len(extensions) != 1: + out.append(f"the wheel holds {len(extensions)} extension modules: {extensions}") + infos = {m.group(0) for n in wheel if (m := DIST_INFO.match(n))} + if len(infos) != 1: + out.append( + f"the wheel holds {len(infos)} .dist-info directories: {sorted(infos)}" + ) + want_wheel = {f"netgraph_core/{n}" for n in package} | set(extensions) + want_wheel |= {i + n for i in infos for n in DIST_INFO_FILES} + out += [ + f"the wheel carries {n}, not an intended file" + for n in sorted(wheel - want_wheel) + ] + out += [f"the wheel lacks {n}" for n in sorted(want_wheel - wheel)] + return out + + +def main() -> int: + if len(sys.argv) != 4: + sys.exit("usage: check_contents.py WHEEL SDIST WORK_DIR") + wheel, sdist, work = sys.argv[1], sys.argv[2], Path(sys.argv[3]) + with zipfile.ZipFile(wheel) as z: + wheel_names = sorted(n for n in z.namelist() if not n.endswith("/")) + with tarfile.open(sdist) as t: + members = [m for m in t if not m.isdir()] + tops = {m.name.split("/", 1)[0] for m in members} + sdist_names = sorted(m.name.split("/", 1)[1] for m in members if "/" in m.name) + found = list(problems(wheel_names, sdist_names, checkout_files(ROOT))) + if len(tops) != 1 or len(sdist_names) != len(members): + found.append( + f"the sdist's files are not all under one top directory: {sorted(tops)}" + ) + for kind, names in (("wheel", wheel_names), ("sdist", sdist_names)): + (work / f"contents-{kind}.txt").write_text("\n".join(names) + "\n") + print(f"{kind}: {len(names)} files ({work}/contents-{kind}.txt)") + if found: + for p in found: + print(f"dev/stubs/check_contents.py: {p}", file=sys.stderr) + return 1 + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/dev/stubs/generate.py b/dev/stubs/generate.py new file mode 100644 index 0000000..dfa502b --- /dev/null +++ b/dev/stubs/generate.py @@ -0,0 +1,603 @@ +"""Generate the package's type stub, python/netgraph_core/__init__.pyi, or check it for drift. + +Run by ``bash dev/stubs/run.sh`` with the interpreter of an environment holding an installed, +non-editable netgraph_core (a wheel or an sdist build: the shipped configuration, without the +private hooks) and the pinned pybind11-stubgen and ruff of pyproject.toml's ``dev`` extra. + +The steps, each failing loudly: + +1. pybind11-stubgen writes the stub of the compiled module ``_netgraph_core``. +2. The package stub keeps the declarations of ``netgraph_core.__all__`` (the private names of the + compiled module and private members are not part of the package), under the package's own + docstring, ``__all__`` and ``__version__``. +3. The reviewed overrides of dev/stubs/overrides.pyi replace generated declarations. An override + may change annotations only: its parameter names, kinds and defaults must equal the generated + ones, the exact generated line it replaces is quoted above it (``# generated:``) with its + reason (``# reason:``), and a changed generated line fails until the override is reviewed + again. Overloads replace one generated declaration. The one addition allowed is the marker + of a class the module refuses to construct (``def __init__(self, _no_public_constructor: + typing.Never, /)``): a type checker then rejects ``Cls()``; the marker must match the runtime + both ways. +4. No ``typing.Any`` remains, except where the module accepts any object: the operand of + ``__eq__``/``__ne__`` and the memo of ``__deepcopy__``. +5. The module's positional-only parameters (``/`` in its signatures, which pybind11-stubgen + 3.0.0 drops) are positional-only in the stub too, wherever a parameter other than the + receiver is affected (the enums' comparison operand and ``__setstate__``'s state). +6. ruff (pinned) formats the result; ``--write`` writes it, ``--check`` compares it with the + committed stub and prints the difference. + +Usage: python -I dev/stubs/generate.py (--write | --check) [--raw DIR] +""" + +from __future__ import annotations + +import argparse +import ast +import copy +import difflib +import importlib +import inspect +import os +import subprocess +import sys +import sysconfig +import tempfile +from pathlib import Path + +ROOT = Path(__file__).resolve().parents[2] +STUB = ROOT / "python/netgraph_core/__init__.pyi" +OVERRIDES = ROOT / "dev/stubs/overrides.pyi" +HEADER = "# Generated from the compiled module; do not edit.\n" +# The imports, grouped as ruff's isort rules want them (ast.unparse keeps no blank lines). +IMPORTS = """from __future__ import annotations + +import collections.abc +import typing + +import numpy +import numpy.typing +""" +MARKER_PARAM = "_no_public_constructor" +# Where the module accepts any object, typing.Any is the exact domain: the comparison operand +# (pybind11 names it "other" on enums, "arg0" on the value classes, which define __eq__ only) +# and copy.deepcopy's memo. +ANY_ALLOWED = { + ("__eq__", "other"), + ("__eq__", "arg0"), + ("__ne__", "other"), + ("__deepcopy__", "memo"), +} + + +class Failure(Exception): + pass + + +def installed_package(): + """netgraph_core and _netgraph_core, imported from this interpreter's site-packages (an + installation, not the source tree or an editable build's redirect).""" + pkg = importlib.import_module("netgraph_core") + ext = importlib.import_module("_netgraph_core") + roots = {os.path.realpath(sysconfig.get_paths()[k]) for k in ("purelib", "platlib")} + for mod in (pkg, ext): + where = os.path.realpath(mod.__file__ or "") + if not any(where.startswith(r + os.sep) for r in roots): + raise Failure( + f"{mod.__name__} is imported from {where}, not from an installation in " + "this interpreter's site-packages (build a wheel: bash dev/stubs/run.sh)" + ) + if hasattr(ext, "_max_flows_per_call"): + raise Failure( + "the installed extension carries the private hooks; generate from the " + "shipped configuration (a wheel or an sdist build)" + ) + return pkg, ext + + +def run_stubgen(raw_dir: Path) -> str: + cmd = [ + sys.executable, + "-I", + "-m", + "pybind11_stubgen", + "--exit-code", + "-o", + str(raw_dir), + "_netgraph_core", + ] + proc = subprocess.run(cmd, capture_output=True, text=True) + if proc.returncode != 0 or proc.stderr.strip(): + raise Failure( + f"pybind11-stubgen failed ({proc.returncode}):\n{proc.stderr}{proc.stdout}" + ) + return (raw_dir / "_netgraph_core.pyi").read_text(encoding="utf-8") + + +def is_private(name: str) -> bool: + return name.startswith("_") and not (name.startswith("__") and name.endswith("__")) + + +def params(fn: ast.FunctionDef) -> list[tuple[str, str, str | None]]: + """(name, kind, default) of every parameter, annotations left out.""" + a = fn.args + pos = [*a.posonlyargs, *a.args] + defaults: list[ast.expr | None] = [None] * (len(pos) - len(a.defaults)) + defaults += list(a.defaults) + out = [] + for i, (arg, d) in enumerate(zip(pos, defaults, strict=True)): + kind = "positional-only" if i < len(a.posonlyargs) else "positional" + out.append((arg.arg, kind, None if d is None else ast.unparse(d))) + if a.vararg: + out.append((a.vararg.arg, "*args", None)) + for arg, d in zip(a.kwonlyargs, a.kw_defaults, strict=True): + out.append((arg.arg, "keyword-only", None if d is None else ast.unparse(d))) + if a.kwarg: + out.append((a.kwarg.arg, "**kwargs", None)) + return out + + +def is_marker(fn: ast.FunctionDef) -> bool: + a = fn.args + return ( + fn.name == "__init__" + and not fn.decorator_list + and [x.arg for x in a.posonlyargs] == ["self", MARKER_PARAM] + and not (a.args or a.vararg or a.kwonlyargs or a.kwarg or a.defaults) + and ast.unparse(a.posonlyargs[1].annotation or ast.Constant(None)) + == "typing.Never" + and ast.unparse(fn.returns or ast.Constant(None)) == "None" + ) + + +def comment_block(lines: list[str], first_line: int) -> list[str]: + """The comment lines directly above line ``first_line`` (1-based).""" + out: list[str] = [] + i = first_line - 2 + while i >= 0 and lines[i].strip().startswith("#"): + out.insert(0, lines[i].strip()) + i -= 1 + return out + + +class Override: + def __init__(self, qual: str, defs: list[ast.FunctionDef], lines: list[str]): + self.qual = qual + self.defs = defs + first = defs[0] + start = min([first.lineno, *(d.lineno for d in first.decorator_list)]) + comments = comment_block(lines, start) + self.reasons = [ + c.removeprefix("# reason:").strip() + for c in comments + if c.startswith("# reason:") + ] + gen = [ + c.removeprefix("# generated:").strip() + for c in comments + if c.startswith("# generated:") + ] + where = f"{OVERRIDES.relative_to(ROOT)}:{first.lineno} {qual}" + if not self.reasons or not all(self.reasons): + raise Failure(f"{where}: an override needs a '# reason:' line above it") + if len(gen) != 1: + raise Failure( + f"{where}: an override needs exactly one '# generated:' line above it " + "(the generated line it replaces, or '(none)' for the constructor marker)" + ) + self.generated = gen[0] + for d in defs[1:]: + stray = comment_block( + lines, min([d.lineno, *(x.lineno for x in d.decorator_list)]) + ) + if any(c.startswith(("# reason:", "# generated:")) for c in stray): + raise Failure( + f"{where}: '# reason:'/'# generated:' belong above the first overload only" + ) + if len(defs) > 1 and not all( + any(ast.unparse(x) == "typing.overload" for x in d.decorator_list) + for d in defs + ): + raise Failure( + f"{where}: repeated declarations must all be @typing.overload" + ) + + +def load_overrides() -> dict[str, Override]: + text = OVERRIDES.read_text(encoding="utf-8") + lines = text.splitlines() + tree = ast.parse(text) + groups: dict[str, list[ast.FunctionDef]] = {} + order: list[str] = [] + + def add(qual: str, fn: ast.FunctionDef) -> None: + if qual in groups and order[-1] != qual: + raise Failure( + f"{OVERRIDES.name}:{fn.lineno} {qual}: overloads must be adjacent" + ) + if qual not in groups: + order.append(qual) + groups.setdefault(qual, []).append(fn) + + for node in tree.body: + if isinstance(node, ast.FunctionDef): + add(node.name, node) + elif isinstance(node, ast.ClassDef): + for item in node.body: + if isinstance(item, ast.FunctionDef): + add(f"{node.name}.{item.name}", item) + elif not ( + isinstance(item, ast.Expr) and isinstance(item.value, ast.Constant) + ): + raise Failure( + f"{OVERRIDES.name}:{item.lineno}: only method overrides inside a class" + ) + elif not isinstance(node, (ast.Import, ast.ImportFrom)) and not ( + isinstance(node, ast.Expr) and isinstance(node.value, ast.Constant) + ): + raise Failure(f"{OVERRIDES.name}:{node.lineno}: unexpected statement") + return {q: Override(q, groups[q], lines) for q in order} + + +def generated_line(raw_lines: list[str], fn: ast.FunctionDef) -> str: + return raw_lines[fn.lineno - 1].strip() + + +def body_of(fn: ast.FunctionDef) -> list[ast.stmt]: + """The generated body (the docstring or ``...``).""" + return copy.deepcopy(fn.body) + + +def with_body(fn: ast.FunctionDef, body: list[ast.stmt]) -> ast.FunctionDef: + new = copy.deepcopy(fn) + new.body = body + return new + + +def apply_overrides( + container: list[ast.stmt], + owner: str, + raw_lines: list[str], + overrides: dict[str, Override], + used: set[str], +) -> list[ast.stmt]: + out: list[ast.stmt] = [] + funcs = [n for n in container if isinstance(n, ast.FunctionDef)] + for node in container: + if not isinstance(node, ast.FunctionDef): + out.append(node) + continue + qual = f"{owner}.{node.name}" if owner else node.name + ov = overrides.get(qual) + if ov is None: + out.append(node) + continue + if sum(n.name == node.name for n in funcs) > 1: + raise Failure( + f"{qual}: generated as overloads; an override replaces one declaration" + ) + used.add(qual) + if ov.generated == "(none)": + raise Failure( + f"{qual}: the override says '(none)', but {qual} is generated" + ) + got = generated_line(raw_lines, node) + if got != ov.generated: + raise Failure( + f"{qual}: the generated declaration changed; review the override again\n" + f" override quotes: {ov.generated}\n generated now: {got}" + ) + want = params(node) + for d in ov.defs: + if params(d) != want: + raise Failure( + f"{qual}: an override changes only annotations; parameters " + f"{params(d)} differ from the generated {want}" + ) + decos = {ast.unparse(x) for x in node.decorator_list} + for d in ov.defs: + have = {ast.unparse(x) for x in d.decorator_list} - {"typing.overload"} + if have != decos: + raise Failure( + f"{qual}: decorators {sorted(have)} differ from the generated {sorted(decos)}" + ) + for i, d in enumerate(ov.defs): + body = body_of(node) if i == 0 else [ast.Expr(ast.Constant(Ellipsis))] + out.append(with_body(d, body)) + return out + + +def add_markers( + cls: ast.ClassDef, overrides: dict[str, Override], used: set[str] +) -> None: + qual = f"{cls.name}.__init__" + ov = overrides.get(qual) + if ov is None or any( + isinstance(n, ast.FunctionDef) and n.name == "__init__" for n in cls.body + ): + return + used.add(qual) + if ov.generated != "(none)" or len(ov.defs) != 1 or not is_marker(ov.defs[0]): + raise Failure( + f"{qual}: not generated; the only addition allowed is the constructor marker " + f"'def __init__(self, {MARKER_PARAM}: typing.Never, /) -> None' " + "with '# generated: (none)'" + ) + marker = with_body(ov.defs[0], [ast.Expr(ast.Constant(Ellipsis))]) + # After the class docstring, before the first member (the generated order is kept). + at = ( + 1 + if cls.body + and isinstance(cls.body[0], ast.Expr) + and isinstance(cls.body[0].value, ast.Constant) + else 0 + ) + cls.body.insert(at, marker) + + +def refuses_construction(cls: type) -> bool: + try: + cls() + except TypeError as exc: + return "No constructor defined" in str(exc) + return False + + +def positional_only(doc: str | None) -> list[list[str]]: + """Per pybind11 signature of a docstring, the names its ``/`` makes positional-only.""" + lines = (doc or "").strip("\n").split("\n") + if len(lines) > 1 and lines[1].strip() == "Overloaded function.": + sigs = [ln.split(". ", 1)[1] for ln in lines if ln[:1].isdigit() and ". " in ln] + else: + sigs = lines[:1] + out = [] + for sig in sigs: + if "(" not in sig or ")" not in sig: + out.append([]) + continue + inner = sig[sig.index("(") + 1 : sig.rindex(")")] + parts, depth, cur = [], 0, "" + for ch in inner: + depth += ch in "([{" + depth -= ch in ")]}" + if ch == "," and depth == 0: + parts.append(cur.strip()) + cur = "" + else: + cur += ch + parts.append(cur.strip()) + names = [p.split(":")[0].split("=")[0].strip() for p in parts] + out.append(names[: names.index("/")] if "/" in names else []) + return out + + +def restore_positional_only(defs: list[ast.FunctionDef], obj, qual: str) -> None: + """pybind11-stubgen 3.0.0 drops the ``/`` of the module's signatures. Where the module makes + a parameter other than the receiver positional-only, the stub declares the same leading + parameters positional-only (the enums' ``__eq__``/``__ne__`` operand, ``__setstate__``'s + state); a lone positional-only receiver is left as generated.""" + sigs = positional_only(getattr(obj, "__doc__", None)) + if not any(set(names) - {"self"} for names in sigs): + return + if len(sigs) == 1: + sigs = sigs * len(defs) + if len(sigs) != len(defs): + raise Failure( + f"{qual}: {len(sigs)} module signatures, {len(defs)} stub declarations" + ) + for names, fn in zip(sigs, defs, strict=True): + a = fn.args + pos = [*a.posonlyargs, *a.args] + if [x.arg for x in pos[: len(names)]] != names: + raise Failure( + f"{qual}: the module makes {names} positional-only; the stub starts with " + f"{[x.arg for x in pos[: len(names)]]}" + ) + a.posonlyargs, a.args = pos[: len(names)], pos[len(names) :] + + +def apply_positional_only(decls: list[ast.stmt], pkg) -> None: + def groups(body: list[ast.stmt]) -> dict[str, list[ast.FunctionDef]]: + out: dict[str, list[ast.FunctionDef]] = {} + for n in body: + if isinstance(n, ast.FunctionDef) and "property" not in { + ast.unparse(d) for d in n.decorator_list + }: + out.setdefault(n.name, []).append(n) + return out + + for name, defs in groups(decls).items(): + restore_positional_only(defs, getattr(pkg, name), name) + for node in decls: + if isinstance(node, ast.ClassDef): + cls = getattr(pkg, node.name) + for name, defs in groups(node.body).items(): + if name in vars(cls) and not any(is_marker(d) for d in defs): + restore_positional_only( + defs, getattr(cls, name), f"{node.name}.{name}" + ) + + +def check_markers(classes: dict[str, ast.ClassDef], pkg) -> None: + for name, node in classes.items(): + runtime = getattr(pkg, name) + if issubclass(runtime, BaseException): + continue + marked = any(isinstance(n, ast.FunctionDef) and is_marker(n) for n in node.body) + refuses = refuses_construction(runtime) + if marked and not refuses: + raise Failure( + f"{name}: marked not constructible, but the module constructs it" + ) + if refuses and not marked: + raise Failure( + f"{name}: the module refuses to construct it (No constructor defined); " + "add the constructor marker to dev/stubs/overrides.pyi" + ) + + +def check_no_any(tree: ast.Module) -> None: + problems = [] + + def visit(fn: ast.FunctionDef, owner: str) -> None: + a = fn.args + # Every place a parameter can be annotated: positional-only, positional, *args, + # keyword-only and **kwargs. + every = [*a.posonlyargs, *a.args, a.vararg, *a.kwonlyargs, a.kwarg] + for arg in (x for x in every if x is not None): + if arg.annotation is not None and "typing.Any" in ast.unparse( + arg.annotation + ): + if (fn.name, arg.arg) not in ANY_ALLOWED: + problems.append(f"{owner}{fn.name}({arg.arg})") + if fn.returns is not None and "typing.Any" in ast.unparse(fn.returns): + problems.append(f"{owner}{fn.name} -> ...") + + def scan(body: list[ast.stmt], owner: str) -> None: + for node in body: + if isinstance(node, ast.FunctionDef): + visit(node, owner) + elif isinstance(node, ast.ClassDef): + scan(node.body, f"{owner}{node.name}.") + elif isinstance(node, ast.AnnAssign) and "typing.Any" in ast.unparse( + node.annotation + ): + problems.append(f"{owner}{ast.unparse(node.target)}") + + scan(tree.body, "") + if problems: + raise Failure( + "typing.Any left in the stub (add a reviewed override): " + + ", ".join(problems) + ) + + +def build_stub(raw: str, pkg) -> str: + raw_lines = raw.splitlines() + tree = ast.parse(raw) + exported = list(pkg.__all__) + overrides = load_overrides() + used: set[str] = set() + decls: list[ast.stmt] = [] + seen: set[str] = set() + classes: dict[str, ast.ClassDef] = {} + for node in tree.body: + if isinstance(node, (ast.ClassDef, ast.FunctionDef)): + name = node.name + elif isinstance(node, ast.AnnAssign) and isinstance(node.target, ast.Name): + name = node.target.id + else: + continue # the module docstring, imports and the module's own __all__ + if name == "__all__": + continue + if name not in exported: + if not is_private(name): + raise Failure( + f"_netgraph_core.{name} is public but not exported by netgraph_core" + ) + continue + seen.add(name) + if isinstance(node, ast.ClassDef): + node.body = [ + n + for n in node.body + if not (isinstance(n, (ast.FunctionDef,)) and is_private(n.name)) + and not ( + isinstance(n, ast.AnnAssign) + and isinstance(n.target, ast.Name) + and is_private(n.target.id) + ) + ] + node.body = apply_overrides( + node.body, node.name, raw_lines, overrides, used + ) + add_markers(node, overrides, used) + classes[name] = node + decls.append(node) + decls = apply_overrides(decls, "", raw_lines, overrides, used) + missing = [n for n in exported if n != "__version__" and n not in seen] + if missing: + raise Failure(f"exported by netgraph_core, not generated: {missing}") + unused = [q for q in overrides if q not in used] + if unused: + raise Failure(f"overrides without a generated declaration: {unused}") + check_markers(classes, pkg) + apply_positional_only(decls, pkg) + + doc = ast.Expr(ast.Constant(inspect.cleandoc(pkg.__doc__ or ""))) + body: list[ast.stmt] = ast.parse(f"__all__: list[str] = {exported!r}").body + body += ast.parse("__version__: str").body + body += decls + module = ast.Module(body=body, type_ignores=[]) + check_no_any(module) + return f"{HEADER}{ast.unparse(ast.Module([doc], []))}\n\n{IMPORTS}\n{ast.unparse(module)}\n" + + +def ruff_format(text: str) -> str: + proc = subprocess.run( + [ + sys.executable, + "-m", + "ruff", + "format", + "--stdin-filename", + str(STUB.relative_to(ROOT)), + "-", + ], + input=text, + capture_output=True, + text=True, + cwd=ROOT, + ) + if proc.returncode != 0: + raise Failure(f"ruff format failed:\n{proc.stderr}") + return proc.stdout + + +def main() -> int: + ap = argparse.ArgumentParser(description=__doc__.split("\n", 1)[0]) + mode = ap.add_mutually_exclusive_group(required=True) + mode.add_argument("--write", action="store_true", help="write the stub") + mode.add_argument("--check", action="store_true", help="fail on drift") + ap.add_argument( + "--raw", type=Path, help="keep the raw pybind11-stubgen output here" + ) + args = ap.parse_args() + try: + pkg, ext = installed_package() + print(f"generating from {ext.__file__}") + with tempfile.TemporaryDirectory() as tmp: + raw_dir = args.raw or Path(tmp) + raw = run_stubgen(raw_dir) + stub = ruff_format(build_stub(raw, pkg)) + except Failure as exc: + print(f"dev/stubs/generate.py: {exc}", file=sys.stderr) + return 1 + if args.write: + STUB.write_text(stub, encoding="utf-8") + print(f"wrote {STUB.relative_to(ROOT)} ({len(stub.splitlines())} lines)") + return 0 + committed = STUB.read_text(encoding="utf-8") if STUB.exists() else "" + if committed == stub: + print( + f"{STUB.relative_to(ROOT)} is up to date ({len(stub.splitlines())} lines)" + ) + return 0 + rel = str(STUB.relative_to(ROOT)) + sys.stdout.writelines( + difflib.unified_diff( + committed.splitlines(keepends=True), + stub.splitlines(keepends=True), + f"{rel} (committed)", + f"{rel} (generated)", + ) + ) + print( + f"dev/stubs/generate.py: {rel} differs from a fresh generation " + "(regenerate: bash dev/stubs/run.sh generate)", + file=sys.stderr, + ) + return 1 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/dev/stubs/overrides.pyi b/dev/stubs/overrides.pyi new file mode 100644 index 0000000..598a183 --- /dev/null +++ b/dev/stubs/overrides.pyi @@ -0,0 +1,560 @@ +# Reviewed overrides of the generated stub python/netgraph_core/__init__.pyi (applied by +# dev/stubs/generate.py; regenerate with bash dev/stubs/run.sh generate). +# +# pybind11-stubgen can only write what the compiled signatures show. The bindings take most +# integer arguments as Python objects (to validate exact, unnarrowed values themselves), return +# NumPy arrays without a declared dtype and optional values as plain objects, so the raw stub +# says typing.Any, numpy.ndarray or a bare list there. Each override below restores the domain +# the binding code accepts and the type it returns, read from bindings/python/*.cpp and checked +# on the built module. +# +# Rules (enforced by the generator): an override changes annotations only (its parameter names, +# kinds and defaults are the generated ones); "# reason:" says why; "# generated:" quotes the +# exact generated line it replaces, and the generation fails when that line changes, so a +# changed binding is reviewed again. Overloads replace one generated declaration. The one +# addition is the marker of a class the module refuses to construct ("No constructor defined"): +# __init__(self, _no_public_constructor: typing.Never, /), so a type checker rejects Cls(). +# +# The domains, written out in full (a stub has no private aliases): +# - an integer: typing.SupportsIndex, a Python int or a NumPy integer scalar (any object with +# __index__; a bool is rejected at run time, which a type cannot express); +# - integers: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer], +# one-dimensional (the rank and the values are checked at run time); +# - a node set: one integer or integers; +# - a number: float | numpy.floating | typing.SupportsIndex. +# Arrays that the module returns carry their exact dtype; their shape (one-dimensional) and +# whether they are read-only views are in the docstrings. +# +# The overrides name the classes of the generated stub, which this file does not declare. +# ruff: noqa: F821 + +import collections.abc +import typing + +import numpy +import numpy.typing + +class Eligibility: + # reason: no constructor: built by Graph.eligibility and Eligibility.intersect + # generated: (none) + def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... + # reason: a read-only view of the bool flags, one per edge + # generated: def edge_allowed(self) -> numpy.ndarray: + def edge_allowed(self) -> numpy.typing.NDArray[numpy.bool_]: ... + # reason: a read-only view of the bool flags, one per node + # generated: def node_allowed(self) -> numpy.ndarray: + def node_allowed(self) -> numpy.typing.NDArray[numpy.bool_]: ... + +class Graph: + # reason: num_nodes is an integer, the four edge arrays are integers (exact values checked by the binding) + # generated: def __init__(self, num_nodes: typing.Any, src: typing.Any, dst: typing.Any, capacity_units: typing.Any, cost: typing.Any, resolution: typing.SupportsFloat | typing.SupportsIndex) -> None: + def __init__( + self, + num_nodes: typing.SupportsIndex, + src: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + dst: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + capacity_units: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + cost: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + resolution: typing.SupportsFloat | typing.SupportsIndex, + ) -> None: ... + # reason: a read-only int64 view + # generated: def capacity_units(self) -> numpy.ndarray: + def capacity_units(self) -> numpy.typing.NDArray[numpy.int64]: ... + # reason: a read-only int64 view + # generated: def cost(self) -> numpy.ndarray: + def cost(self) -> numpy.typing.NDArray[numpy.int64]: ... + # reason: a read-only int32 view + # generated: def edge_dst(self) -> numpy.ndarray: + def edge_dst(self) -> numpy.typing.NDArray[numpy.int32]: ... + # reason: a read-only int32 view + # generated: def edge_src(self) -> numpy.ndarray: + def edge_src(self) -> numpy.typing.NDArray[numpy.int32]: ... + # reason: the excluded node ids and EdgeIds are integers + # generated: def eligibility(self, excluded_nodes: typing.Any = (), excluded_edges: typing.Any = ()) -> Eligibility: + def eligibility( + self, + excluded_nodes: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] = (), + excluded_edges: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] = (), + ) -> Eligibility: ... + # reason: a read-only int32 view + # generated: def in_adj_edge_index(self) -> numpy.ndarray: + def in_adj_edge_index(self) -> numpy.typing.NDArray[numpy.int32]: ... + # reason: a read-only int32 view + # generated: def in_row_offsets(self) -> numpy.ndarray: + def in_row_offsets(self) -> numpy.typing.NDArray[numpy.int32]: ... + # reason: a read-only int32 view + # generated: def input_index(self) -> numpy.ndarray: + def input_index(self) -> numpy.typing.NDArray[numpy.int32]: ... + # reason: a read-only int32 view + # generated: def row_offsets(self) -> numpy.ndarray: + def row_offsets(self) -> numpy.typing.NDArray[numpy.int32]: ... + +class PredDAG: + # reason: no constructor: built by PredDAG.from_csr, Path.to_dag and the searches + # generated: (none) + def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... + # reason: offsets, parents and via are integers + # generated: def from_csr(graph: Graph, offsets: typing.Any, parents: typing.Any, via: typing.Any) -> PredDAG: + @staticmethod + def from_csr( + graph: Graph, + offsets: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + parents: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + via: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + ) -> PredDAG: ... + # reason: a read-only int32 view + # generated: def parents(self) -> numpy.ndarray: + def parents(self) -> numpy.typing.NDArray[numpy.int32]: ... + # reason: a read-only int32 view + # generated: def via_edges(self) -> numpy.ndarray: + def via_edges(self) -> numpy.typing.NDArray[numpy.int32]: ... + +class Path: + # reason: hops is a sequence of hops, each one integers (EdgeIds); a two-dimensional integer + # array is such a sequence too (one row per hop) + # generated: def __init__(self, graph: Graph, hops: typing.Any) -> None: + def __init__( + self, + graph: Graph, + hops: collections.abc.Sequence[ + collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + ] + | numpy.typing.NDArray[numpy.integer], + ) -> None: ... + +class FlowRecord: + # reason: no constructor: snapshots come from FlowLedger.records/record and FlowPolicy.records/record + # generated: (none) + def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... + # reason: a list of (EdgeId, units) pairs; units are exact Python ints + # generated: def drops(self) -> list: + @property + def drops(self) -> list[tuple[int, int]]: ... + # reason: a list of (EdgeId, units) pairs + # generated: def edges(self) -> list: + @property + def edges(self) -> list[tuple[int, int]]: ... + # reason: an exact Python int for a Lossy flow, None otherwise + # generated: def offered(self) -> typing.Any: + @property + def offered(self) -> int | None: ... + # reason: an int, None when the route is empty + # generated: def route_cost(self) -> typing.Any: + @property + def route_cost(self) -> int | None: ... + +class FlowLedger: + # reason: the baseline residual is integers, or None for the capacities + # generated: def __init__(self, graph: Graph, residual: typing.Any = None) -> None: + def __init__( + self, + graph: Graph, + residual: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None = None, + ) -> None: ... + # reason: sources is a node set; elig may be None (all allowed) + # generated: def bottleneck(self, sources: typing.Any, elig: Eligibility = None) -> list[int]: + def bottleneck( + self, + sources: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + elig: Eligibility | None = None, + ) -> list[int]: ... + # reason: a read-only int64 view + # generated: def capacity_units(self) -> numpy.ndarray: + def capacity_units(self) -> numpy.typing.NDArray[numpy.int64]: ... + # reason: a FlowId is a tuple (ledger uid, id) of integers + # generated: def record(self, flow_id: typing.Any) -> FlowRecord: + def record( + self, flow_id: tuple[typing.SupportsIndex, typing.SupportsIndex] + ) -> FlowRecord: ... + # reason: the new baseline is integers, or None for the capacities + # generated: def reset(self, residual: typing.Any = None) -> None: + def reset( + self, + residual: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None = None, + ) -> None: ... + +class Absolute: + # reason: cost is an integer + # generated: def __init__(self, cost: typing.Any) -> None: + def __init__(self, cost: typing.SupportsIndex) -> None: ... + +class Stretch: + # reason: factor is a number (a float, a NumPy floating scalar or an integer) + # generated: def __init__(self, factor: typing.Any) -> None: + def __init__( + self, factor: float | numpy.floating | typing.SupportsIndex + ) -> None: ... + +class DiminishingReturns: + # reason: window is an integer, fraction a number + # generated: def __init__(self, window: typing.Any, fraction: typing.Any) -> None: + def __init__( + self, + window: typing.SupportsIndex, + fraction: float | numpy.floating | typing.SupportsIndex, + ) -> None: ... + +class CapacityAware: + # reason: the counts and the bandwidth are integers (max_flow_count may be None); the ceiling is Absolute, Stretch or None; diminishing is DiminishingReturns or None + # generated: def __init__(self, *, flow_count: typing.Any = 1, max_flow_count: typing.Any = None, max_path_cost: typing.Any = None, min_flow_bandwidth: typing.Any = 0, reoptimize: bool = False, diminishing: typing.Any = None) -> None: + def __init__( + self, + *, + flow_count: typing.SupportsIndex = 1, + max_flow_count: typing.SupportsIndex | None = None, + max_path_cost: Absolute | Stretch | None = None, + min_flow_bandwidth: typing.SupportsIndex = 0, + reoptimize: bool = False, + diminishing: DiminishingReturns | None = None, + ) -> None: ... + # reason: the ceiling given at construction: Absolute, Stretch or None + # generated: def max_path_cost(self) -> typing.Any: + @property + def max_path_cost(self) -> Absolute | Stretch | None: ... + +class Pinned: + # reason: bundles is a sequence of PredDAG (a Path converts with to_dag()) + # generated: def __init__(self, bundles: typing.Any) -> None: + def __init__(self, bundles: collections.abc.Sequence[PredDAG]) -> None: ... + # reason: a new list of the PredDAG bundles + # generated: def bundles(self) -> list: + @property + def bundles(self) -> list[PredDAG]: ... + +class FlowPolicyConfig: + # reason: routing is one of the four routing modes (TypeError otherwise) + # generated: def __init__(self, *, routing: typing.Any, placement: FlowPlacement, admission: Admission, selection: PathSelection) -> None: + def __init__( + self, + *, + routing: CostOnly | CapacityAware | Global | Pinned, + placement: FlowPlacement, + admission: Admission, + selection: PathSelection, + ) -> None: ... + # reason: the routing mode given at construction + # generated: def routing(self) -> typing.Any: + @property + def routing(self) -> CostOnly | CapacityAware | Global | Pinned: ... + +class PlacementResult: + # reason: no constructor: returned by FlowPolicy.place and the evaluators + # generated: (none) + def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... + # reason: a list of (EdgeId, units) pairs + # generated: def drops(self) -> list: + @property + def drops(self) -> list[tuple[int, int]]: ... + # reason: an int64 array when requested, else None + # generated: def edge_flows(self) -> typing.Any: + @property + def edge_flows(self) -> numpy.typing.NDArray[numpy.int64] | None: ... + # reason: an int, or float('inf') after an infinite request + # generated: def remaining(self) -> typing.Any: + @property + def remaining(self) -> int | float: ... + # reason: an int64 array when requested, else None + # generated: def residual(self) -> typing.Any: + @property + def residual(self) -> numpy.typing.NDArray[numpy.int64] | None: ... + +class DagCacheStats: + # reason: no constructor: returned by DagCache.stats + # generated: (none) + def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... + +class FlowPolicy: + # reason: sources and destinations are node sets; elig and cache may be None + # generated: def __init__(self, ledger: FlowLedger, sources: typing.Any, destinations: typing.Any, config: FlowPolicyConfig, elig: Eligibility = None, cache: DagCache = None) -> None: + def __init__( + self, + ledger: FlowLedger, + sources: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + destinations: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + config: FlowPolicyConfig, + elig: Eligibility | None = None, + cache: DagCache | None = None, + ) -> None: ... + # reason: volume is integer units or float('inf') (a NumPy floating +inf too); outputs may be None; the result is a PlacementResult + # generated: def place(self, volume: typing.Any, outputs: typing.Any = None) -> typing.Any: + def place( + self, + volume: typing.SupportsIndex | float | numpy.floating, + outputs: OutputOptions | None = None, + ) -> PlacementResult: ... + # reason: a FlowId is a tuple (ledger uid, id) of integers + # generated: def record(self, flow_id: typing.Any) -> FlowRecord: + def record( + self, flow_id: tuple[typing.SupportsIndex, typing.SupportsIndex] + ) -> FlowRecord: ... + +class CapacityOptions: + # reason: elig, cache and outputs may be None + # generated: def __init__(self, config: FlowPolicyConfig, *, elig: Eligibility = None, cache: DagCache = None, outputs: typing.Any = None) -> None: + def __init__( + self, + config: FlowPolicyConfig, + *, + elig: Eligibility | None = None, + cache: DagCache | None = None, + outputs: OutputOptions | None = None, + ) -> None: ... + # reason: None when no cache was given + # generated: def cache(self) -> DagCache: + @property + def cache(self) -> DagCache | None: ... + # reason: None when no Eligibility was given + # generated: def elig(self) -> Eligibility: + @property + def elig(self) -> Eligibility | None: ... + +class SensitivityOptions: + # reason: elig, cache and outputs may be None + # generated: def __init__(self, config: FlowPolicyConfig, *, elig: Eligibility = None, cache: DagCache = None, outputs: typing.Any = None) -> None: + def __init__( + self, + config: FlowPolicyConfig, + *, + elig: Eligibility | None = None, + cache: DagCache | None = None, + outputs: OutputOptions | None = None, + ) -> None: ... + # reason: None when no cache was given + # generated: def cache(self) -> DagCache: + @property + def cache(self) -> DagCache | None: ... + # reason: None when no Eligibility was given + # generated: def elig(self) -> Eligibility: + @property + def elig(self) -> Eligibility | None: ... + +class SensitivityEntry: + # reason: no constructor: the entries of a SensitivityResult + # generated: (none) + def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... + +class SensitivityResult: + # reason: no constructor: returned by sensitivity + # generated: (none) + def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... + +class KspOptions: + # reason: k is an integer; the ceiling is Absolute, Stretch or None; residual is integers or None; elig may be None (each validated by ksp) + # generated: def __init__(self, k: typing.Any, selection: PathSelection, *, max_path_cost: typing.Any = None, residual: typing.Any = None, elig: Eligibility = None) -> None: + def __init__( + self, + k: typing.SupportsIndex, + selection: PathSelection, + *, + max_path_cost: Absolute | Stretch | None = None, + residual: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None = None, + elig: Eligibility | None = None, + ) -> None: ... + # reason: None when no Eligibility was given + # generated: def elig(self) -> Eligibility: + @property + def elig(self) -> Eligibility | None: ... + # reason: the k given at construction (an integer) + # generated: def k(self) -> typing.Any: + @property + def k(self) -> typing.SupportsIndex: ... + # reason: the ceiling given at construction + # generated: def max_path_cost(self) -> typing.Any: + @property + def max_path_cost(self) -> Absolute | Stretch | None: ... + # reason: the residual given at construction (the same object) + # generated: def residual(self) -> typing.Any: + @property + def residual( + self, + ) -> ( + collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None + ): ... + +class SpfOptions: + # reason: targets is a node set or None; residual is integers or None; min_residual is an integer; elig may be None (each validated by spf) + # generated: def __init__(self, direction: Direction, selection: PathSelection, *, targets: typing.Any = None, residual: typing.Any = None, min_residual: typing.Any = 1, elig: Eligibility = None) -> None: + def __init__( + self, + direction: Direction, + selection: PathSelection, + *, + targets: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None = None, + residual: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None = None, + min_residual: typing.SupportsIndex = 1, + elig: Eligibility | None = None, + ) -> None: ... + # reason: None when no Eligibility was given + # generated: def elig(self) -> Eligibility: + @property + def elig(self) -> Eligibility | None: ... + # reason: the min_residual given at construction (an integer) + # generated: def min_residual(self) -> typing.Any: + @property + def min_residual(self) -> typing.SupportsIndex: ... + # reason: the residual given at construction (the same object) + # generated: def residual(self) -> typing.Any: + @property + def residual( + self, + ) -> ( + collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None + ): ... + # reason: the targets given at construction (the same object) + # generated: def targets(self) -> typing.Any: + @property + def targets( + self, + ) -> ( + typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None + ): ... + +class SpfResult: + # reason: no constructor: returned by spf + # generated: (none) + def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... + # reason: a read-only int64 array for a full search, None with targets + # generated: def costs(self) -> typing.Any: + @property + def costs(self) -> numpy.typing.NDArray[numpy.int64] | None: ... + # reason: always a PredDAG + # generated: def dag(self) -> typing.Any: + @property + def dag(self) -> PredDAG: ... + # reason: the nearest targets' cost, None when no target is reached and for a full search + # generated: def target_cost(self) -> typing.Any: + @property + def target_cost(self) -> int | None: ... + +# reason: one integer gives a float, integers give a float64 array (the array overload first: a NumPy array also has __index__) +# generated: def as_float(x: typing.Any, resolution: typing.SupportsFloat | typing.SupportsIndex) -> typing.Any: +@typing.overload +def as_float( + x: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + resolution: typing.SupportsFloat | typing.SupportsIndex, +) -> numpy.typing.NDArray[numpy.float64]: ... +@typing.overload +def as_float( + x: typing.SupportsIndex, resolution: typing.SupportsFloat | typing.SupportsIndex +) -> float: ... + +# reason: pairs of node sets, each pair a length-2 sequence (sources, destinations), an integer array included (so pairs may be an integer array of shape (k, 2), or (k, 2, m) for sets of m nodes); opts is CapacityOptions; per_pair_elig has one Eligibility or None per pair; workers is an integer or None; one PlacementResult per pair +# generated: def batch_capacity(graph: Graph, pairs: typing.Any, opts: typing.Any, per_pair_elig: typing.Any = None, workers: typing.Any = None) -> typing.Any: +def batch_capacity( + graph: Graph, + pairs: collections.abc.Sequence[ + collections.abc.Sequence[ + typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + ] + | numpy.typing.NDArray[numpy.integer] + ] + | numpy.typing.NDArray[numpy.integer], + opts: CapacityOptions, + per_pair_elig: collections.abc.Sequence[Eligibility | None] | None = None, + workers: typing.SupportsIndex | None = None, +) -> list[PlacementResult]: ... + +# reason: sources and destinations are node sets; opts is CapacityOptions (TypeError otherwise) +# generated: def capacity(graph: Graph, sources: typing.Any, destinations: typing.Any, opts: typing.Any) -> typing.Any: +def capacity( + graph: Graph, + sources: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + destinations: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + opts: CapacityOptions, +) -> PlacementResult: ... + +# reason: src and dst are integers; opts is KspOptions; a list of (cost, Path) +# generated: def ksp(graph: Graph, src: typing.Any, dst: typing.Any, opts: typing.Any) -> list: +def ksp( + graph: Graph, src: typing.SupportsIndex, dst: typing.SupportsIndex, opts: KspOptions +) -> list[tuple[int, Path]]: ... + +# reason: src, dst and max_paths are integers (max_paths may be None); a list of Path +# generated: def resolve_to_paths(graph: Graph, dag: PredDAG, src: typing.Any, dst: typing.Any, split_parallel_edges: bool = False, max_paths: typing.Any = None) -> list: +def resolve_to_paths( + graph: Graph, + dag: PredDAG, + src: typing.SupportsIndex, + dst: typing.SupportsIndex, + split_parallel_edges: bool = False, + max_paths: typing.SupportsIndex | None = None, +) -> list[Path]: ... + +# reason: sources and destinations are node sets; opts is SensitivityOptions; workers is an integer or None +# generated: def sensitivity(graph: Graph, sources: typing.Any, destinations: typing.Any, opts: typing.Any, workers: typing.Any = None) -> typing.Any: +def sensitivity( + graph: Graph, + sources: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + destinations: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + opts: SensitivityOptions, + workers: typing.SupportsIndex | None = None, +) -> SensitivityResult: ... + +# reason: roots is a node set; opts is SpfOptions (TypeError otherwise) +# generated: def spf(graph: Graph, roots: typing.Any, opts: typing.Any) -> typing.Any: +def spf( + graph: Graph, + roots: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + opts: SpfOptions, +) -> SpfResult: ... + +# reason: a scalar number gives an int, a sequence or a 1-D array of numbers an int64 array (a 0-d array gives an int, which the array overload cannot say) +# generated: def to_units(x: typing.Any, resolution: typing.SupportsFloat | typing.SupportsIndex) -> typing.Any: +@typing.overload +def to_units( + x: float | numpy.floating | numpy.integer, + resolution: typing.SupportsFloat | typing.SupportsIndex, +) -> int: ... +@typing.overload +def to_units( + x: collections.abc.Sequence[float | numpy.floating | numpy.integer] + | numpy.typing.NDArray[numpy.floating | numpy.integer], + resolution: typing.SupportsFloat | typing.SupportsIndex, +) -> numpy.typing.NDArray[numpy.int64]: ... diff --git a/dev/stubs/run.sh b/dev/stubs/run.sh new file mode 100755 index 0000000..3eec41c --- /dev/null +++ b/dev/stubs/run.sh @@ -0,0 +1,135 @@ +#!/usr/bin/env bash +# The generated type stub python/netgraph_core/__init__.pyi: regenerate it, or check it. +# +# bash dev/stubs/run.sh generate +# Build a wheel of this checkout (the shipped configuration, without the private hooks), +# install it into a fresh venv and rewrite the stub from it (dev/stubs/generate.py: +# pybind11-stubgen, the reviewed overrides of dev/stubs/overrides.pyi, ruff format). +# Run after any change to a binding's signature or docstring, then commit the stub. +# bash dev/stubs/run.sh check (make stubs-check, CI) +# 0. the tools' rules (no build, a few seconds): dev/stubs/test_generate.py provokes each +# refusal of generate.py once on a small synthetic stub and expects its message, and +# runs its --write and --check on it; dev/stubs/test_checks.py provokes each refusal of +# the contents check (step 1) on synthetic file lists, and each abnormal end of Pyright +# and each comparison rule of the client check (step 3) on a fake Pyright; +# 1. contents: the sdist holds exactly the intended source files of this checkout (the +# rule of pyproject.toml's sdist.include, applied to the files git tracks or would +# track) and the wheel exactly the package, its extension and its metadata; both carry +# the stub, py.typed and both licence notices, and no _docs.py +# (dev/stubs/check_contents.py); +# 2. drift: the committed stub equals a fresh generation from the wheel; +# 3. clients, against the installed wheel and against an installation built from the +# sdist: tests/typing/valid_client.py type-checks without a diagnostic and runs, and +# every marked line of tests/typing/invalid_client.py gets exactly its expected Pyright +# diagnostic (dev/stubs/check_clients.py). +# +# Everything happens in STUBS_DIR (default build/stubs, emptied first): its own venvs with the +# pinned tools of pyproject.toml's dev extra (pybind11-stubgen, pyright, ruff, build) and the +# pins of .github/ci-constraints.txt, its own build directory. The development venv and the +# shared build directory are not touched. PYTHON names the interpreter (default python3, 3.11 +# or newer); CMAKE_BUILD_PARALLEL_LEVEL bounds the builds. +set -euo pipefail +cd "$(dirname "${BASH_SOURCE[0]}")/../.." +ROOT=$PWD +PYTHON=${PYTHON:-python3} +mode=${1:-} +case "$mode" in + generate|check) ;; + *) echo 'Usage: bash dev/stubs/run.sh generate|check' >&2; exit 2 ;; +esac +die() { echo "dev/stubs/run.sh: $*" >&2; exit 1; } + +"$PYTHON" -c 'import sys; sys.exit(sys.version_info < (3, 11))' \ + || die "$PYTHON is older than Python 3.11" +if [[ "$mode" == check ]]; then + echo "== the tools' rules" + "$PYTHON" -I -B dev/stubs/test_generate.py + "$PYTHON" -I -B dev/stubs/test_checks.py +fi +if [[ "$(uname -s)" == Darwin ]]; then + CC=$(xcrun --find clang) + CXX=$(xcrun --find clang++) + export CC CXX + export MACOSX_DEPLOYMENT_TARGET="${MACOSX_DEPLOYMENT_TARGET:-15.0}" +fi +# The pins reach every pip call and every build environment: PIP_CONSTRAINT the direct installs +# and the environments of `python -m build` (which fills them with a direct install), +# PIP_BUILD_CONSTRAINT the environment pip makes itself to build the sdist (pip 26.2 and newer +# apply only build constraints there; a pip older than 25.3 ignores the variable and passes +# PIP_CONSTRAINT on). +export PIP_CONSTRAINT="$ROOT/.github/ci-constraints.txt" +export PIP_BUILD_CONSTRAINT="$ROOT/.github/ci-constraints.txt" +export PIP_DISABLE_PIP_VERSION_CHECK=1 + +WORK=${STUBS_DIR:-build/stubs} +rm -rf "$WORK" +mkdir -p "$WORK" +WORK=$(cd "$WORK" && pwd) + +# The tools as pinned in pyproject.toml's dev extra. +TOOLS=$("$PYTHON" - <<'PY' +import re +import tomllib + +with open("pyproject.toml", "rb") as f: + dev = tomllib.load(f)["project"]["optional-dependencies"]["dev"] +want = {"pybind11-stubgen", "pyright", "ruff", "build"} +found = {re.split(r"[\s=<>!~;\[]", r, maxsplit=1)[0].lower(): r for r in dev} +missing = want - set(found) +if missing: + raise SystemExit(f"pyproject.toml's dev extra lacks {sorted(missing)}") +# The shell splits the printed list on spaces. +spaced = [found[name] for name in sorted(want) if any(c.isspace() for c in found[name])] +if spaced: + raise SystemExit(f"pyproject.toml's dev extra writes {spaced} with a space; remove it") +print(" ".join(found[name] for name in sorted(want))) +PY +) + +# new_env NAME: a fresh venv with NumPy and the tools; prints its interpreter. It runs inside +# $(...), where bash turns set -e off, so every step returns its own failure: the caller's +# assignment then fails and stops the run. +new_env() { + "$PYTHON" -m venv "$WORK/$1" || return + "$WORK/$1/bin/python" -m pip install -q -U pip >&2 || return # the pinned pip (PIP_CONSTRAINT) + # shellcheck disable=SC2086 # TOOLS: requirement strings without spaces (checked above) + "$WORK/$1/bin/python" -m pip install -q numpy $TOOLS >&2 || return + echo "$WORK/$1/bin/python" +} + +echo "== tools: $TOOLS" +WPY=$(new_env wheel-env) +echo "== the wheel of this checkout (hooks off; build directory $WORK/wheel-build)" +"$WPY" -m build --wheel --outdir "$WORK/dist" --config-setting=build-dir="$WORK/wheel-build" . \ + > "$WORK/build-wheel.log" 2>&1 || { tail -40 "$WORK/build-wheel.log" >&2; die "the wheel build failed"; } +wheels=("$WORK"/dist/*.whl) +[[ ${#wheels[@]} -eq 1 && -f ${wheels[0]} ]] || die "expected one wheel in $WORK/dist" +"$WPY" -m pip install -q --no-index --no-deps "${wheels[0]}" + +if [[ "$mode" == generate ]]; then + "$WPY" -I dev/stubs/generate.py --write --raw "$WORK/raw" + echo "Regenerated; check it with: bash dev/stubs/run.sh check" + exit 0 +fi + +echo "== the sdist" +"$WPY" -m build --sdist --outdir "$WORK/dist" . > "$WORK/build-sdist.log" 2>&1 \ + || { tail -40 "$WORK/build-sdist.log" >&2; die "the sdist build failed"; } +sdists=("$WORK"/dist/*.tar.gz) +[[ ${#sdists[@]} -eq 1 && -f ${sdists[0]} ]] || die "expected one sdist in $WORK/dist" + +echo "== contents" +"$WPY" -I dev/stubs/check_contents.py "${wheels[0]}" "${sdists[0]}" "$WORK" + +echo "== drift" +"$WPY" -I dev/stubs/generate.py --check --raw "$WORK/raw" + +echo "== clients against the installed wheel" +"$WPY" -I dev/stubs/check_clients.py wheel "$WORK/clients-wheel" + +echo "== clients against an installation built from the sdist" +SPY=$(new_env sdist-env) +"$SPY" -m pip install -q --no-deps "${sdists[0]}" > "$WORK/install-sdist.log" 2>&1 \ + || { tail -40 "$WORK/install-sdist.log" >&2; die "installing the sdist failed"; } +"$SPY" -I dev/stubs/check_clients.py sdist "$WORK/clients-sdist" +echo "Stub, package contents and typed clients: OK" diff --git a/dev/stubs/test_checks.py b/dev/stubs/test_checks.py new file mode 100644 index 0000000..36c24b4 --- /dev/null +++ b/dev/stubs/test_checks.py @@ -0,0 +1,431 @@ +"""Negative controls of the two package checks of ``bash dev/stubs/run.sh check``. + +* check_contents.py: its sdist rule equals pyproject.toml's file list; the files of a checkout + it takes as intended are the ones git tracks or would track; and on synthetic member lists, + every kind of file it must refuse (a stray or ignored file, a left-out developer file, a + missing file, a second extension module, ...) is refused, while the intended lists pass. +* check_clients.py: Pyright is replaced by a small program that prints a real run's output for + the clients and then ends abnormally in one of its runs (killed by a signal, a fatal exit + status, output that is not its report, a report that disagrees with the status); each must + stop the check, and the same program ending normally must pass it. The same program also + breaks each comparison rule in turn (search paths without the installation or with the source + tree, a diagnostic on the valid client, a required case without its mark, a diagnostic count + differing from the marks, a control line with no diagnostic, a valid client that does not + run): each must fail the check with that rule's message and no other. + +Nothing is built or installed. Run by ``bash dev/stubs/run.sh check``, or directly: + + python -I -B dev/stubs/test_checks.py +""" + +from __future__ import annotations + +import contextlib +import io +import os +import re +import subprocess +import sys +import tempfile +import tomllib +import unittest +from pathlib import Path +from unittest import mock + +sys.path.insert(0, str(Path(__file__).resolve().parent)) + +import check_clients +import check_contents + +ROOT = Path(__file__).resolve().parents[2] + +# A checkout's files as git lists them: the intended sdist files and every kind it leaves out. +SHIPPED = [ + ".coveragerc", + ".gitignore", + "CHANGELOG.md", + "CMakeLists.txt", + "CONTRIBUTING.md", + "LICENSE", + "README.md", + "pyproject.toml", + "bindings/python/module.cpp", + "docs/semantics.md", + "include/netgraph/core/graph.hpp", + "python/netgraph_core/__init__.py", + "python/netgraph_core/__init__.pyi", + "python/netgraph_core/py.typed", + "src/graph.cpp", + "tests/py/test_graph.py", + "tests/data/policy_fixtures.json", + "third_party/pybind11/LICENSE", +] +LEFT_OUT = [ + "AGENTS.md", + "CMakeLists.txt.user", + "CLAUDE.md", + "Makefile", + ".pre-commit-config.yaml", + ".github/workflows/tests.yml", + ".superset/config.json", + "dev/run-checks.sh", + "tests/reference/policy/README.md", +] +INFO = "netgraph_core-0.12.0.dist-info/" +WHEEL = [ + "_netgraph_core.cpython-314-darwin.so", + "netgraph_core/__init__.py", + "netgraph_core/__init__.pyi", + "netgraph_core/py.typed", +] + [INFO + n for n in sorted(check_contents.DIST_INFO_FILES)] +SDIST = SHIPPED + ["PKG-INFO"] + + +class Contents(unittest.TestCase): + def problems(self, wheel=WHEEL, sdist=SDIST, intended=SHIPPED + LEFT_OUT): + return check_contents.problems(wheel, sdist, intended) + + def refused(self, want: str, **lists) -> None: + got = self.problems(**lists) + self.assertIn(want, got) + + def test_the_rule_is_pyproject_toml_s(self): + with open(ROOT / "pyproject.toml", "rb") as f: + sdist = tomllib.load(f)["tool"]["scikit-build"]["sdist"] + self.assertEqual(sdist["inclusion-mode"], "explicit") + self.assertEqual( + sorted(p.lstrip("/") for p in sdist["include"]), + sorted(check_contents.SDIST_TOP), + ) + left_out = [p.lstrip("/") for p in sdist["exclude"] if p.startswith("/")] + self.assertEqual(sorted(left_out), sorted(check_contents.SDIST_LEFT_OUT)) + + def test_the_intended_lists_pass(self): + self.assertEqual(self.problems(), []) + self.assertEqual( + [n for n in SHIPPED + LEFT_OUT if check_contents.shipped(n)], SHIPPED + ) + + def test_the_sdist_refuses_every_other_file(self): + for stray in ( + ".playwright-mcp/console.log", + "notes.txt", + "tests/py/__pycache__/test_graph.cpython-314.pyc", + "python/netgraph_core/_netgraph_core.cpython-314-darwin.so", + *LEFT_OUT, + ): + self.refused( + f"the sdist carries {stray}, not an intended file", + sdist=SDIST + [stray], + ) + # A stray file the checkout holds: only the files the rule ships are intended. + self.refused( + "the sdist carries notes.txt, not an intended file", + sdist=SDIST + ["notes.txt"], + intended=SHIPPED + LEFT_OUT + ["notes.txt"], + ) + + def test_the_sdist_refuses_a_missing_file(self): + for name in SDIST: + rest = [n for n in SDIST if n != name] + self.refused(f"the sdist lacks {name}", sdist=rest) + # Required even when the checkout lost it. + self.refused( + "the sdist lacks python/netgraph_core/py.typed", + sdist=[n for n in SDIST if not n.endswith("py.typed")], + intended=[n for n in SHIPPED if not n.endswith("py.typed")], + ) + + def test_the_wheel_refuses_every_other_file(self): + for stray in ( + "netgraph_core/notes.txt", + "netgraph_core/__pycache__/__init__.cpython-314.pyc", + INFO + "entry_points.txt", + "tests/py/test_graph.py", + ): + self.refused( + f"the wheel carries {stray}, not an intended file", + wheel=WHEEL + [stray], + ) + for name in WHEEL: + if name.startswith("netgraph_core/") or name.startswith(INFO): + rest = [n for n in WHEEL if n != name] + self.refused(f"the wheel lacks {name}", wheel=rest) + two = WHEEL + ["_netgraph_core.cpython-313-darwin.so"] + self.assertTrue( + any("2 extension modules" in p for p in self.problems(wheel=two)) + ) + none = [n for n in WHEEL if not n.startswith("_netgraph_core.")] + self.assertTrue( + any("0 extension modules" in p for p in self.problems(wheel=none)) + ) + other = WHEEL + ["netgraph_core-0.11.0.dist-info/METADATA"] + self.assertTrue(any("2 .dist-info" in p for p in self.problems(wheel=other))) + + def test_no_docs_module(self): + self.refused( + "the wheel carries netgraph_core/_docs.py", + wheel=WHEEL + ["netgraph_core/_docs.py"], + ) + docs = "python/netgraph_core/_docs.py" + self.refused( + f"the sdist carries {docs}", + sdist=SDIST + [docs], + wheel=WHEEL + ["netgraph_core/_docs.py"], + intended=SHIPPED + [docs], + ) + + def test_checkout_files(self): + """Tracked files and new files git does not ignore; not an ignored file, nor a tracked + file deleted from the work tree.""" + with tempfile.TemporaryDirectory() as tmp: + root = Path(tmp) + + def git(*args: str) -> None: + subprocess.run( + ["git", "-C", tmp, *args], check=True, capture_output=True + ) + + git("init", "-q") + files = { + ".gitignore": "__pycache__/\n", + "src/a.cpp": "", + "src/gone.cpp": "", + "a dir/with space.txt": "", + } + for name, text in files.items(): + (root / name).parent.mkdir(parents=True, exist_ok=True) + (root / name).write_text(text) + git("add", "-A") + (root / "src/gone.cpp").unlink() + (root / "src/new.cpp").write_text("") + (root / "src/__pycache__").mkdir() + (root / "src/__pycache__/m.pyc").write_text("") + self.assertEqual( + check_contents.checkout_files(root), + [".gitignore", "a dir/with space.txt", "src/a.cpp", "src/new.cpp"], + ) + + +# Stands in for Pyright: in the project directory it is given, it reports one diagnostic per +# rule of each "# expect:" marker and one for the control's planted line, as a real run does, +# and prints the search paths of FAKE_PATHS (os.pathsep-separated). FAKE_BREAK names the run +# that ends abnormally or reports wrongly (verbose, report or control) and FAKE_HOW how: "drop" +# loses the run's first diagnostic, "extra-valid" and "extra-invalid" add one on line 1 of that +# client. +FAKE_PYRIGHT = r""" +import json, os, re, signal, sys +from pathlib import Path + +args = sys.argv[1:] +work = Path(args[args.index("--project") + 1]) +run = "verbose" if "--verbose" in args else ("control" if work.name == "control" else "report") +how = os.environ["FAKE_HOW"] if run == os.environ["FAKE_BREAK"] else "normal" +def diag(f, n, rule): + span = {"line": n, "character": 0} + return {"file": str(f), "severity": "error", "rule": rule, + "message": "a diagnostic", "range": {"start": span, "end": span}} +diags = [] +for f in sorted(work.glob("*client.py")): + for n, line in enumerate(f.read_text().splitlines()): + m = re.search(r"#\s*expect:\s*(\w+(?:\s*,\s*\w+)*)\s*$", line) + rules = re.split(r"\s*,\s*", m.group(1)) if m else [] + if line == "oops: str = g.num_edges()": + rules = ["reportAssignmentType"] + diags += [diag(f, n, rule) for rule in rules] +if how == "drop": + del diags[0] +if how.startswith("extra-"): + diags.append(diag(work / (how[len("extra-"):] + "_client.py"), 0, "reportExtra")) +errors = len(diags) +status = 1 if errors else 0 +if run == "verbose": + paths = os.environ["FAKE_PATHS"].split(os.pathsep) + print("Search paths for file:///\n" + "\n".join(" " + p for p in paths)) +else: + report = {"generalDiagnostics": diags, "summary": {"errorCount": errors}} + if how == "no-diagnostics": + del report["generalDiagnostics"] + if how == "no-count": + del report["summary"]["errorCount"] + if how == "text-count": + report["summary"]["errorCount"] = str(errors) + if how == "disagree": + status = 1 - status + print("[1, 2]" if how == "list" else + "Pyright crashed" if how == "not-json" else json.dumps(report)) +sys.stdout.flush() +if how == "signal": + os.kill(os.getpid(), signal.SIGTERM) +sys.exit({"exit-2": 2, "exit-3": 3, "exit-4": 4}.get(how, status)) +""" + + +class Pyright(unittest.TestCase): + """``check_clients.main`` with Pyright replaced by FAKE_PYRIGHT (a real child process) and + the installation by a directory of its own; the valid client's run ends as `client_run` + says (status, stderr), and the clients come from `clients` (tests/typing by default).""" + + def setUp(self): + tmp = tempfile.TemporaryDirectory() + self.addCleanup(tmp.cleanup) + self.tmp = Path(os.path.realpath(tmp.name)) + self.site = self.tmp / "site" + (self.site / "netgraph_core").mkdir(parents=True) + self.fake = self.tmp / "fake_pyright.py" + self.fake.write_text(FAKE_PYRIGHT) + + def main( + self, + brk: str = "none", + how: str = "normal", + paths: list[Path] | None = None, + clients: Path = check_clients.CLIENTS, + client_run: tuple[int, str] = (0, ""), + ) -> tuple[int | str | None, str]: + real_run = subprocess.run + + def run(cmd, **kwargs): + if cmd[1:3] == ["-m", "pyright"]: + return real_run( + [sys.executable, "-I", str(self.fake), *cmd[3:]], **kwargs + ) + return subprocess.CompletedProcess(cmd, client_run[0], "", client_run[1]) + + searched = os.pathsep.join(str(p) for p in (paths or [self.site])) + env = {"FAKE_BREAK": brk, "FAKE_HOW": how, "FAKE_PATHS": searched} + out, err = io.StringIO(), io.StringIO() + with ( + mock.patch.object( + check_clients, "installation", lambda p: self.site / "netgraph_core" + ), + mock.patch.object(check_clients, "CLIENTS", clients), + mock.patch.object(check_clients.subprocess, "run", run), + mock.patch.dict(os.environ, env), + mock.patch.object( + sys, "argv", ["check_clients.py", "t", str(self.tmp / "w")] + ), + contextlib.redirect_stdout(out), + contextlib.redirect_stderr(err), + ): + try: + status = check_clients.main() + except SystemExit as exc: + status = exc.code + return status, out.getvalue() + err.getvalue() + + def test_a_normal_end_passes(self): + status, out = self.main("none", "normal") + self.assertEqual(status, 0, out) + self.assertIn("invalid client: ", out) + + def test_every_abnormal_end_stops_the_check(self): + cases = { + "signal": "pyright was killed by signal 15", + "exit-2": "pyright failed (exit 2)", + "exit-3": "pyright failed (exit 3)", + "exit-4": "pyright failed (exit 4)", + "not-json": "pyright gave no JSON (exit ", + "list": "pyright's report is not one of a complete run", + "no-diagnostics": "pyright's report is not one of a complete run", + "no-count": "pyright's report is not one of a complete run", + "text-count": "pyright's report is not one of a complete run", + "disagree": "pyright's report is not one of a complete run", + } + for brk in ("verbose", "report", "control"): + for how, message in cases.items(): + if brk == "verbose" and how not in ( + "signal", + "exit-2", + "exit-3", + "exit-4", + ): + continue # the verbose run prints a log, not a report + with self.subTest(run=brk, how=how): + status, out = self.main(brk, how) + self.assertIsInstance(status, str, out) + self.assertIn(message, status) + + def refused(self, problem: str, **kwargs) -> None: + """The check fails with exactly this one problem.""" + status, out = self.main(**kwargs) + self.assertEqual(status, 1, out) + self.assertEqual(out, f"dev/stubs/check_clients.py [t]: {problem}\n") + + def test_the_search_paths_must_hold_the_installation(self): + elsewhere = self.tmp / "elsewhere" + elsewhere.mkdir() + self.refused( + f"Pyright's search paths do not hold {self.site} (pyright-verbose.log)", + paths=[elsewhere], + ) + + def test_the_search_paths_must_not_hold_the_source_tree(self): + self.refused( + "Pyright searches the source tree's python/ directory", + paths=[self.site, check_clients.ROOT / "python"], + ) + + def test_a_diagnostic_on_the_valid_client_fails(self): + self.refused( + "valid_client.py:1: 1 unexpected diagnostic(s) reportExtra", + brk="report", + how="extra-valid", + ) + + def test_a_required_case_without_its_mark_fails(self): + # a copy of the clients in which the first required case's line lost its mark (and + # so, from the fake as from Pyright, its diagnostic) + case = check_clients.REQUIRED[0] + clients = self.tmp / "clients" + clients.mkdir() + for name in ("valid_client.py", "invalid_client.py"): + lines = (check_clients.CLIENTS / name).read_text().splitlines() + if name == "invalid_client.py": + lines = [ + check_clients.EXPECT.sub("", t) if case in t else t for t in lines + ] + (clients / name).write_text("\n".join(lines) + "\n") + self.refused( + f"invalid_client.py lost the marked case {case!r}", clients=clients + ) + + def test_a_count_differing_from_the_marks_fails(self): + # the fake's first diagnostic is the first rule of the invalid client's first mark + lines = (check_clients.CLIENTS / "invalid_client.py").read_text().splitlines() + line, mark = next( + (i, m) + for i, t in enumerate(lines, 1) + if (m := check_clients.EXPECT.search(t)) + ) + rules = re.split(r"\s*,\s*", mark.group(1)) + n = rules.count(rules[0]) + with self.subTest("a marked diagnostic missing"): + self.refused( + f"invalid_client.py:{line}: {rules[0]} expected {n}, got {n - 1}", + brk="report", + how="drop", + ) + with self.subTest("an unmarked diagnostic"): + self.refused( + "invalid_client.py:1: reportExtra expected 0, got 1", + brk="report", + how="extra-invalid", + ) + + def test_the_control_line_must_give_its_one_diagnostic(self): + planted = (check_clients.CLIENTS / "valid_client.py").read_text() + last = len(planted.splitlines()) + 1 + self.refused( + f"control: the planted line {last} gave {{}}", brk="control", how="drop" + ) + + def test_the_valid_client_must_run(self): + self.refused( + "valid_client.py does not run:\nTraceback: boom\n", + client_run=(1, "Traceback: boom\n"), + ) + + +if __name__ == "__main__": + unittest.main() diff --git a/dev/stubs/test_generate.py b/dev/stubs/test_generate.py new file mode 100644 index 0000000..37eed35 --- /dev/null +++ b/dev/stubs/test_generate.py @@ -0,0 +1,426 @@ +"""Negative controls of generate.py's rules (its module docstring, steps 2 to 6) and of its +check of the installation. + +A small synthetic module stands in for the compiled one: a raw stub as pybind11-stubgen writes +it, the module objects it describes and reviewed overrides. The stub built from them is checked +once, then each refusal of steps 2 to 5 is provoked once and ``build_stub`` must refuse with its +message. ``--write`` and ``--check`` run on that module (step 6: a changed, shortened, longer, +empty or missing stub fails the check with the difference), and the installation check refuses a +package or an extension outside site-packages and an extension with the private hooks. Nothing +is built or installed. Run by ``bash dev/stubs/run.sh check``, or directly: + + python -I -B dev/stubs/test_generate.py +""" + +from __future__ import annotations + +import contextlib +import io +import os +import sys +import sysconfig +import tempfile +import types +import unittest +from pathlib import Path +from unittest import mock + +sys.path.insert(0, str(Path(__file__).resolve().parent)) + +import generate + +RAW = '''"""raw""" +from __future__ import annotations +import typing +__all__: list[str] = ["Graph", "Result", "f"] +class Graph: + def __init__(self, n: typing.Any) -> None: + """Graph doc""" + def __eq__(self, other: typing.Any) -> bool: + ... + def _hook(self) -> None: + ... +class Result: + def value(self) -> int: + ... +def f(x: typing.Any, y: int = 1) -> typing.Any: + ... +def _private() -> None: + ... +''' + +OVERRIDES = """import typing + +class Graph: + # reason: an integer + # generated: def __init__(self, n: typing.Any) -> None: + def __init__(self, n: typing.SupportsIndex) -> None: ... + +class Result: + # reason: built by the module only + # generated: (none) + def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... + +# reason: integers in and out +# generated: def f(x: typing.Any, y: int = 1) -> typing.Any: +def f(x: int, y: int = 1) -> int: ... +""" + + +EQ_DOC = "__eq__(self: Graph, other: object, /) -> bool" + + +def module( + result_constructible: bool = False, eq_doc: str = EQ_DOC +) -> types.ModuleType: + """The runtime side: __eq__ takes its operand positional-only (``eq_doc``, pybind11's + signature line), Result has no constructor (pybind11's TypeError) unless + ``result_constructible``.""" + + class Graph: + def __init__(self, n): + self.n = n + + def __eq__(self, other): + return self is other + + __eq__.__doc__ = eq_doc + + class Result: + def __init__(self): + if not result_constructible: + raise TypeError("Result: No constructor defined!") + + def value(self): + return 0 + + def f(x, y=1): + return x + + pkg = types.ModuleType("fake", "The package docstring.") + pkg.__dict__.update( + Graph=Graph, Result=Result, f=f, __all__=["Graph", "Result", "f"] + ) + return pkg + + +class Rules(unittest.TestCase): + def setUp(self): + tmp = tempfile.TemporaryDirectory() + self.addCleanup(tmp.cleanup) + root = Path(tmp.name) + saved = generate.ROOT, generate.OVERRIDES + self.addCleanup(lambda: setattr(generate, "ROOT", saved[0])) + self.addCleanup(lambda: setattr(generate, "OVERRIDES", saved[1])) + generate.ROOT, generate.OVERRIDES = root, root / "overrides.pyi" + + def build(self, raw=RAW, overrides=OVERRIDES, pkg=None) -> str: + generate.OVERRIDES.write_text(overrides) + return generate.build_stub(raw, pkg or module()) + + def refused(self, why: str, **kwargs) -> None: + with self.assertRaises(generate.Failure) as ctx: + self.build(**kwargs) + self.assertIn(why, str(ctx.exception)) + + def test_the_valid_stub(self): + stub = self.build() + for line in ( + "def __init__(self, n: typing.SupportsIndex) -> None:", # an override + "def __init__(self, _no_public_constructor: typing.Never, /) -> None:", # marker + "def __eq__(self, other: typing.Any, /) -> bool:", # positional-only restored + "def f(x: int, y: int=1) -> int:", # before ruff formats it + ): + self.assertIn(line, stub) + self.assertIn('"""Graph doc"""', stub) # the generated body kept + self.assertNotIn("_hook", stub) # private members and names left out + self.assertNotIn("_private", stub) + + def test_an_override_changes_annotations_only(self): + for changed in ("def f(z: int, y: int = 1)", "def f(x: int, y: int = 2)"): + overrides = OVERRIDES.replace("def f(x: int, y: int = 1)", changed) + self.refused("an override changes only annotations", overrides=overrides) + + def test_the_quoted_generated_line(self): + raw = RAW.replace("y: int = 1) -> typing.Any", "y: float = 1) -> typing.Any") + self.refused("the generated declaration changed", raw=raw) + no_reason = OVERRIDES.replace("# reason: integers in and out\n", "") + self.refused("an override needs a '# reason:' line", overrides=no_reason) + stale = ( + OVERRIDES + + "\n# reason: gone\n# generated: def g() -> None:\ndef g() -> None: ...\n" + ) + self.refused( + "overrides without a generated declaration: ['g']", overrides=stale + ) + + def test_the_marker_matches_the_runtime_both_ways(self): + pkg = module(result_constructible=True) + self.refused( + "Result: marked not constructible, but the module constructs it", pkg=pkg + ) + start = OVERRIDES.index("class Result:") + unmarked = ( + OVERRIDES[:start] + OVERRIDES[OVERRIDES.index("# reason: integers") :] + ) + self.refused("Result: the module refuses to construct it", overrides=unmarked) + + def test_no_any_outside_its_domain(self): + overrides = OVERRIDES.replace("y: int = 1) -> int", "y: int = 1) -> typing.Any") + self.refused( + "typing.Any left in the stub (add a reviewed override): f -> ...", + overrides=overrides, + ) + + def test_positional_only_names_match(self): + raw = RAW.replace( + "__eq__(self, other: typing.Any)", "__eq__(self, rhs: typing.Any)" + ) + self.refused("the module makes ['self', 'other'] positional-only", raw=raw) + + def test_the_overrides_file(self): + f_line = "# generated: def f(x: typing.Any, y: int = 1) -> typing.Any:\n" + f_def = "def f(x: int, y: int = 1) -> int: ..." + overload = f"@typing.overload\n{f_def}\n" + for overrides, why in ( + (OVERRIDES.replace(f_line, ""), "needs exactly one '# generated:' line"), + (OVERRIDES.replace(f_line, f_line * 2), "needs exactly one '# generated:'"), + ( + OVERRIDES.replace( + f"{f_def}\n", overload + "# reason: again\n" + overload + ), + "'# reason:'/'# generated:' belong above the first overload only", + ), + ( + OVERRIDES.replace(f"{f_def}\n", overload + f"{f_def}\n"), + "repeated declarations must all be @typing.overload", + ), + ( + OVERRIDES.replace("class Graph:", f"{overload}\nclass Graph:"), + "f: overloads must be adjacent", + ), + ( + OVERRIDES.replace("class Result:\n", "class Result:\n x: int\n"), + "only method overrides inside a class", + ), + (OVERRIDES + "x = 1\n", "unexpected statement"), + ): + self.refused(why, overrides=overrides) + + def test_what_an_override_replaces(self): + overloads = RAW.replace( + "def f(x: typing.Any, y: int = 1) -> typing.Any:\n ...\n", + "@typing.overload\ndef f(x: typing.Any, y: int = 1) -> typing.Any:\n ...\n" + "@typing.overload\ndef f(x: str) -> str:\n ...\n", + ) + self.refused( + "f: generated as overloads; an override replaces one declaration", + raw=overloads, + ) + none = OVERRIDES.replace( + "# generated: def __init__(self, n: typing.Any) -> None:", + "# generated: (none)", + ) + self.refused( + "Graph.__init__: the override says '(none)', but Graph.__init__ is generated", + overrides=none, + ) + decorated = OVERRIDES.replace("def f(x: int", "@staticmethod\ndef f(x: int") + self.refused( + "f: decorators ['staticmethod'] differ from the generated []", + overrides=decorated, + ) + marker = OVERRIDES.replace( + "_no_public_constructor: typing.Never", "_no_public_constructor: int" + ) + self.refused( + "Result.__init__: not generated; the only addition allowed is the constructor" + " marker", + overrides=marker, + ) + + def test_positional_only_signature_count(self): + doc = ( + "__eq__(*args, **kwargs)\nOverloaded function.\n\n" + "1. __eq__(self: Graph, other: object, /) -> bool\n\n" + "2. __eq__(self: Graph, other: int, /) -> bool\n" + ) + self.refused( + "Graph.__eq__: 2 module signatures, 1 stub declarations", + pkg=module(eq_doc=doc), + ) + + def test_no_any_in_parameters_or_attributes(self): + raw = RAW.replace( + "def value(self) -> int:", "def value(self, x: typing.Any) -> int:" + ) + self.refused( + "typing.Any left in the stub (add a reviewed override): Result.value(x)", + raw=raw, + ) + raw = RAW.replace("class Result:\n", "class Result:\n y: typing.Any\n") + self.refused( + "typing.Any left in the stub (add a reviewed override): Result.y", raw=raw + ) + # a module attribute, exported + pkg = module() + pkg.__all__ = [*pkg.__all__, "z"] + pkg.z = 0 + self.refused( + "typing.Any left in the stub (add a reviewed override): z", + raw=RAW + "z: typing.Any\n", + pkg=pkg, + ) + + def test_no_any_in_any_parameter_position(self): + pkg = module() + pkg.__all__ = [*pkg.__all__, "g"] + pkg.g = lambda *args, **kwargs: 0 + for signature, where in ( + ("x: typing.Any, /", "g(x)"), # positional-only + ("x: typing.Any", "g(x)"), # positional + ("*args: typing.Any", "g(args)"), + ("*, x: typing.Any", "g(x)"), # keyword-only + ("**kwargs: typing.Any", "g(kwargs)"), + ): + with self.subTest(signature): + self.refused( + f"typing.Any left in the stub (add a reviewed override): {where}", + raw=RAW + f"def g({signature}) -> int:\n ...\n", + pkg=pkg, + ) + self.refused( + "typing.Any left in the stub (add a reviewed override): g -> ...", + raw=RAW + "def g(*args: int) -> typing.Any:\n ...\n", + pkg=pkg, + ) + # typed variadic parameters are kept as generated + stub = self.build( + raw=RAW + "def g(*args: int, **kwargs: str) -> int:\n ...\n", pkg=pkg + ) + self.assertIn("def g(*args: int, **kwargs: str) -> int:", stub) + + def test_no_any_in_a_nested_class(self): + raw = RAW.replace( + "class Result:\n", + "class Result:\n class Part:\n" + " def h(self, x: typing.Any) -> int:\n ...\n", + ) + self.refused( + "typing.Any left in the stub (add a reviewed override): Result.Part.h(x)", + raw=raw, + ) + + def test_exports_match(self): + self.refused( + "_netgraph_core.g is public but not exported", + raw=RAW + "def g() -> None:\n ...\n", + ) + raw = RAW.replace("def f(", "def _f(") + self.refused("exported by netgraph_core, not generated: ['f']", raw=raw) + + +class CommandLine(unittest.TestCase): + """``main`` on the synthetic module (the installation, pybind11-stubgen and ruff replaced): + ``--write`` writes the stub, ``--check`` passes on an equal stub and fails on any other + with the difference.""" + + def setUp(self): + tmp = tempfile.TemporaryDirectory() + self.addCleanup(tmp.cleanup) + root = Path(tmp.name) + names = ("ROOT", "STUB", "OVERRIDES", "installed_package", "run_stubgen") + saved = {name: getattr(generate, name) for name in names + ("ruff_format",)} + self.addCleanup(lambda: [setattr(generate, n, v) for n, v in saved.items()]) + generate.ROOT, generate.STUB = root, root / "stub.pyi" + generate.OVERRIDES = root / "overrides.pyi" + generate.OVERRIDES.write_text(OVERRIDES) + ext = types.SimpleNamespace(__file__="the compiled module") + generate.installed_package = lambda: (module(), ext) + generate.run_stubgen = lambda raw_dir: RAW + generate.ruff_format = lambda text: text + self.want = generate.build_stub(RAW, module()) + + def main(self, *argv: str) -> tuple[int, str, str]: + out, err = io.StringIO(), io.StringIO() + with ( + mock.patch.object(sys, "argv", ["generate.py", *argv]), + contextlib.redirect_stdout(out), + contextlib.redirect_stderr(err), + ): + status = generate.main() + return status, out.getvalue(), err.getvalue() + + def drift(self, committed: str | None) -> str: + if committed is None: + generate.STUB.unlink(missing_ok=True) + else: + generate.STUB.write_text(committed) + status, out, err = self.main("--check") + self.assertEqual(status, 1, out) + self.assertIn("stub.pyi differs from a fresh generation", err) + return out + + def test_write_then_check(self): + status, out, _ = self.main("--write") + self.assertEqual(status, 0) + self.assertEqual(generate.STUB.read_text(), self.want) + status, out, _ = self.main("--check") + self.assertEqual(status, 0) + self.assertIn("stub.pyi is up to date", out) + + def test_check_fails_on_any_difference(self): + changed = self.want.replace("-> int:", "-> str:", 1) + self.assertNotEqual(changed, self.want) + out = self.drift(changed) + self.assertIn("\n-", out) + self.assertIn("\n+", out) + self.assertIn("-> str:", out) + self.drift(self.want + "\n") + self.drift(self.want[:-1]) + self.drift("") + self.assertIn("(generated)", self.drift(None)) + + +class InstalledPackage(unittest.TestCase): + """``installed_package``: both modules imported from this interpreter's site-packages and + the extension without the private hooks, else a Failure.""" + + def check(self, pkg_file: str, ext_file: str, hooks: bool = False): + pkg = types.ModuleType("netgraph_core") + ext = types.ModuleType("_netgraph_core") + pkg.__file__, ext.__file__ = pkg_file, ext_file + if hooks: + ext._max_flows_per_call = lambda: 0 + with mock.patch.dict( + sys.modules, {"netgraph_core": pkg, "_netgraph_core": ext} + ): + return generate.installed_package() + + def test_refusals(self): + site = os.path.realpath(sysconfig.get_paths()["platlib"]) + inside = os.path.join(site, "netgraph_core", "__init__.py") + ext = os.path.join(site, "_netgraph_core.so") + with tempfile.TemporaryDirectory() as tmp: + outside = os.path.join(os.path.realpath(tmp), "python", "netgraph_core.py") + for pkg_file, ext_file, name in ( + (outside, ext, "netgraph_core"), + (inside, outside, "_netgraph_core"), + ): + with self.assertRaises(generate.Failure) as ctx: + self.check(pkg_file, ext_file) + self.assertIn( + f"{name} is imported from {outside}, not from an installation", + str(ctx.exception), + ) + with self.assertRaises(generate.Failure) as ctx: + self.check(inside, ext, hooks=True) + self.assertIn( + "the installed extension carries the private hooks", str(ctx.exception) + ) + pkg, got = self.check(inside, ext) + self.assertEqual((pkg.__file__, got.__file__), (inside, ext)) + + +if __name__ == "__main__": + unittest.main() diff --git a/dev/test_coverage_summary.py b/dev/test_coverage_summary.py new file mode 100644 index 0000000..8cfcd61 --- /dev/null +++ b/dev/test_coverage_summary.py @@ -0,0 +1,165 @@ +"""The rules of ``dev/coverage_summary.py``: what it accepts, every report it refuses, and its +exit status, on small synthetic Cobertura reports. + +Nothing is built. Run first by ``make cov``, or directly: + + python -I -B dev/test_coverage_summary.py +""" + +from __future__ import annotations + +import contextlib +import io +import sys +import tempfile +import unittest +from pathlib import Path + +sys.path.insert(0, str(Path(__file__).resolve().parent)) + +import coverage_summary as cs + + +def report(**totals: str) -> str: + attrs = "".join(f' {k.replace("_", "-")}="{v}"' for k, v in totals.items()) + return ( + f'\n\n' + ) + + +class Summary(unittest.TestCase): + def setUp(self): + self.tmp = tempfile.TemporaryDirectory() + self.dir = Path(self.tmp.name) + + def tearDown(self): + self.tmp.cleanup() + + def write(self, name: str, text: str) -> str: + path = self.dir / name + path.write_text(text) + return str(path) + + def main(self, *argv: str) -> tuple[int, str, str]: + out, err = io.StringIO(), io.StringIO() + with contextlib.redirect_stdout(out), contextlib.redirect_stderr(err): + status = cs.main(list(argv)) + return status, out.getvalue(), err.getvalue() + + def test_totals_read_exactly(self): + for totals, want in ( + (dict(lines_valid="10", lines_covered="7"), (10, 7, None, None)), + ( + dict( + lines_valid="12.0", + lines_covered="0012", + branches_valid="4.00", + branches_covered="0", + ), + (12, 12, 4, 0), + ), + # the largest count, and one below: compared exactly, not as floats + ( + dict(lines_valid=str(2**63 - 1), lines_covered=str(2**63 - 2)), + (2**63 - 1, 2**63 - 2, None, None), + ), + ): + path = self.write("r.xml", report(**totals)) + self.assertEqual(cs.parse_cobertura_totals(path), want, totals) + + def test_refusals(self): + good = dict(lines_valid="10", lines_covered="7") + for name, text, why in ( + ("missing", None, "cannot read the report"), + ("not xml", "", "not a Cobertura report (root )"), + ("no lines-valid", report(lines_covered="1"), "no lines-valid total"), + ("no lines-covered", report(lines_valid="1"), "no lines-covered total"), + ( + "zero lines", + report(lines_valid="0", lines_covered="0"), + "counts no line", + ), + ( + "lines above", + report(lines_valid="7", lines_covered="8"), + "8 lines covered of 7", + ), + ( + "branches above", + report(**good, branches_valid="2", branches_covered="3"), + "3 branches covered of 2", + ), + ( + "one branch total", + report(**good, branches_valid="2"), + "must both be present or both absent", + ), + ( + "the other branch total", + report(**good, branches_covered="0"), + "must both be present or both absent", + ), + ( + "above the largest count", + report(lines_valid=str(2**63), lines_covered="1"), + "above the largest count", + ), + *( + ( + f"spelling {value}", + report(lines_valid=value, lines_covered="1"), + f"lines-valid={value!r} is not a count", + ) + for value in ("-1", "+1", "1.5", "1e3", "nan", "inf", "", " 1", "0x10") + ), + ): + path = ( + str(self.dir / "absent.xml") + if text is None + else self.write(f"{len(name)}.xml", text) + ) + with self.assertRaises(cs.ReportError, msg=name) as ctx: + cs.parse_cobertura_totals(path) + self.assertIn(why, str(ctx.exception), name) + self.assertTrue(str(ctx.exception).startswith(path), name) + + def test_exit_status_and_outputs(self): + py = self.write("py.xml", report(lines_valid="10", lines_covered="5")) + cpp = self.write("cpp.xml", report(lines_valid="30", lines_covered="29")) + bad = self.write("bad.xml", report(lines_valid="0", lines_covered="0")) + html = self.dir / "sub" / "c.html" + status, out, err = self.main(py, cpp, f"--html={html}") + self.assertEqual((status, err), (0, "")) + rows = out.splitlines() + self.assertEqual(rows[3].split(), ["python", "10", "5", "50%"]) + self.assertEqual(rows[4].split(), ["c++", "30", "1", "97%"]) + self.assertEqual(rows[6].split(), ["TOTAL", "40", "6", "85%"]) + self.assertIn("TOTAL", html.read_text()) + # branch columns when one report has branch totals; the other counts 0 of 0 + branched = self.write( + "br.xml", + report( + lines_valid="10", + lines_covered="5", + branches_valid="4", + branches_covered="1", + ), + ) + status, out, err = self.main(branched, cpp) + self.assertEqual(status, 0, err) + self.assertEqual(out.splitlines()[6].split()[-3:], ["4", "3", "25%"]) + # any refused report: exit 1, the reason on stderr, no table + for argv in ((bad, cpp), (py, bad), (py, str(self.dir / "absent.xml"))): + status, out, err = self.main(*argv) + self.assertEqual((status, out), (1, ""), argv) + self.assertTrue(err.startswith("coverage_summary.py: "), argv) + # an HTML output that cannot be written: exit 1 + blocker = self.write("file", "") + status, out, err = self.main(py, cpp, f"--html={blocker}/c.html") + self.assertEqual(status, 1) + self.assertIn(f"cannot write {blocker}/c.html", err) + + +if __name__ == "__main__": + unittest.main() diff --git a/docs/semantics.md b/docs/semantics.md new file mode 100644 index 0000000..2e1cd85 --- /dev/null +++ b/docs/semantics.md @@ -0,0 +1,1070 @@ +# NetGraph-Core semantics + +This document says exactly what NetGraph-Core computes: how amounts are counted, how edges are +numbered, which route a search returns, how a placement spreads traffic, what a placement call +reports and when it fails, how the shortest-path cache behaves, and what the evaluators mean. It +is the full reference behind the API docstrings. For installation and a first example, see the +[README](../README.md#installation). + +Each section starts with a short explanation in plain words and then gives the exact rules. When +the two seem to differ, the exact rules are the authority. Names are the Python spellings +(`import netgraph_core as ngc`); [the last section](#11-c-names) lists the C++ spellings. Names that +start with an underscore are private test and verification entries, not part of the API. + +Contents: + +1. [Units: the one numeric domain](#1-units-the-one-numeric-domain) +2. [The graph](#2-the-graph) +3. [Route values: PredDAG and Path](#3-route-values-preddag-and-path) +4. [Search](#4-search) +5. [Placement kernels and admission](#5-placement-kernels-and-admission) +6. [The ledger](#6-the-ledger) +7. [Policies](#7-policies) +8. [Failures, threads and lifetimes](#8-failures-threads-and-lifetimes) +9. [The DAG cache](#9-the-dag-cache) +10. [Evaluators](#10-evaluators) +11. [C++ names](#11-c-names) + +## Terms + +- **Unit, resolution `q`.** Traffic is counted in whole units; one unit is `q` of a physical + quantity (for example `q = 2**-12` Gbit/s). The graph fixes `q` when it is built. +- **Amount.** A whole number of units: a capacity, a residual, a request, a delivery or a drop. +- **Residual.** The capacity of an edge that is still free, in units. +- **EdgeId.** The public number of an edge. It is not the edge's position in the input arrays + (see [section 2](#2-the-graph)). +- **Tight edge.** An edge `u -> v` that lies on a shortest walk of a search. Searching from the + roots, the distance of `u` plus the edge's cost equals the distance of `v`; searching toward + them (reverse), where a distance is the distance to the roots, the distance of `v` plus the + cost equals the distance of `u`. +- **Shortest-path DAG.** The set of all tight edges: every shortest route at once. A DAG (directed + acyclic graph) is a directed graph with no directed cycle. +- **Parallel members.** Several edges between the same two nodes in the same direction. +- **Canonical path.** The one walk a search returns when a single path is asked for, chosen by + the fixed order of [section 4](#the-canonical-single-path). +- **Bottleneck of a walk.** The smallest priority value (residual, capacity or headroom) among the + walk's edges. +- **A flow** is one routed amount on one route, recorded in the ledger as a `FlowRecord`. +- **Policy.** The routing model of one demand, the traffic from a set of sources to a set of + destinations (a `FlowPolicy`): it creates, fills, grows and removes that demand's flows. +- **Cohort.** The flows a policy manages for one source; growth adds a flow to it + (`CapacityAware`). +- **Roster.** The sources of a policy that take part in placement, fixed when the policy is built. +- **Offer.** The part of a request that a call asks one source to place. +- **Epoch.** The period from a policy's construction, or a `remove()`, to the next `remove()`; + requests add up within it. +- **Lossless / Lossy.** Admission control: Lossless places only what fits end to end; Lossy + forwards hop by hop and drops what does not fit on each edge. +- **Static.** Depending only on the graph, the costs and the Eligibility, not on traffic already + placed (a static walk, the static shortest cost). +- **Member graph.** The edges a search may use: eligible, at least 1 unit of capacity (and, when + a residual is supplied, at least the search's residual threshold), and one member per pair + with `multi_edge=False`. +- **Kernel.** The rule that spreads one flow over its route: `MAX_FLOW`, `WEIGHTED` or + `EQUAL_BALANCED`. +- **Bundle.** The route of one flow, as a `PredDAG`. +- **View.** The capacity a solve may use: the free capacity plus the flow's (or the `Global` + policy's) own allocation. +- **Minimum cut.** A set of edges whose removal separates the sources from the destinations, + with the smallest total capacity; that capacity equals the maximum flow. +- **Marginal cost curve.** `(cost, units)` pairs in ascending cost: delivering `units` more units + raises the minimum total cost of the flow by `cost` per unit. Delivering more can reroute flow + already placed, so the pairs are not the costs of the paths in the final allocation. + +The examples below run in sequence and share these helpers. Each output block is the printed +output of the example above it. + +```python +import netgraph_core as ngc + +def graph(num_nodes, edges, q=1.0): + """edges: (src, dst, capacity_units, cost) tuples in input order.""" + src, dst, cap, cost = zip(*edges) + return ngc.Graph(num_nodes, list(src), list(dst), list(cap), list(cost), q) + +DET = ngc.PathSelection(ngc.EdgeTieBreak.DETERMINISTIC, ngc.EdgePriority.CAPACITY) +PREFER = ngc.PathSelection(ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, ngc.EdgePriority.CAPACITY) + +def config(routing, placement=ngc.FlowPlacement.EQUAL_BALANCED, + admission=ngc.Admission.LOSSLESS, selection=DET): + return ngc.FlowPolicyConfig(routing=routing, placement=placement, + admission=admission, selection=selection) +``` + +## 1. Units: the one numeric domain + +**In plain words.** Every amount of traffic is a whole number of units, and the graph says how +big a unit is. Physical numbers enter through `to_units` and leave through `as_float`; nothing +in between is a float, so totals add up exactly and nothing is lost to rounding. Costs are a +separate kind of number: positive integers that are never converted. + +**Exact rules.** + +- **Resolution.** A graph's resolution `q` is a power of two in `[2^-32, 2^32]`, given + explicitly when the graph is built; there is no default. The resolution is the precision of + every result: there is no finer grid. A model that needs finer splits uses a smaller `q`. +- **Amounts.** Capacities, residuals, allocations, requests, deliveries, offers and drops are + integers in units of `q`. In Python they are `int` (exact, unbounded); per-edge arrays are + NumPy `int64[E]`. Cumulative counters that are sums over many calls (a Lossy record's + `offered` and its per-edge `drops`) may exceed 64 bits; Python returns them as exact `int`. +- **Domain.** Every edge capacity, and the sum of all capacities, is below `2^62` units. Edge + costs are integers of at least 1 and their sum is below `2^62`, so no path cost reaches the + sentinel `UNREACHABLE` (the largest `int64`). A request is an integer in `[0, 2^62)` units or + positive infinity (`float('inf')`, "as much as possible"). Everything outside the domain is a + `ValueError` raised before anything changes. +- **`to_units(x, q)`** converts physical values to units, rounding half up: a scalar gives an + `int`, an array an `int64` array. NaN, infinity, negative values and results at or above + `2^62` units raise `ValueError`. It is the only way physical numbers enter the library. +- **`as_float(x, q)`** converts units to physical values (`x * q`, correctly rounded, exact + below `2^53` units): an `int` gives a `float`, an integer array a `float64` array. A result + beyond the finite doubles raises `ValueError`. Costs are never converted. +- **Routability.** An edge with less than 1 unit of capacity (or, when a residual is supplied, + less than the search's residual threshold) carries nothing and is never part of a route. A + physical request below `q / 2` converts to 0 units. A request of 0 units is accepted after + validation and does nothing (its result is `COMPLETE`). +- **Splitting units.** When a node forwards `I` units over `k` member edges: + - **round robin** (`EQUAL_BALANCED`): every member gets `I // k` units and the first `I % k` + members, in ascending EdgeId, get one more; + - **highest averages** (`WEIGHTED`, the D'Hondt rule): the units are handed out one at a time, + each to the member with the largest `w / (a + 1)` (its weight `w` over its current count + `a` plus one), ties to the lower EdgeId. Equal weights give round robin. + + Both rules are exact and never lose a unit: a share that rounds down to zero leaves its unit to + a sibling. Both are monotone: when `I` grows, no member's share shrinks. +- **Conservation.** At every node, inflow plus supply equals outflow plus delivery plus drops, + exactly. The ledger's totals are exactly the sums of its records. + +```python +print(ngc.to_units([1.5, 2.5, 0.4, 0.5], 1.0).tolist()) # half up +print(ngc.to_units(10.0, 2.0**-12), ngc.as_float(40960, 2.0**-12)) +``` + +```text +[2, 3, 0, 1] +40960 10.0 +``` + +## 2. The graph + +**In plain words.** A `Graph` is built once from arrays and never changes. Every edge gets a +public number, its EdgeId, by sorting the edges by source, cost and destination; only edges +that agree on all three keep their input order among themselves. A map gives back each edge's +input position. All per-edge arrays the library reads or returns are in EdgeId order, and every +tie rule of the library ("the lowest EdgeId") refers to this order. + +**Exact rules.** + +- **Construction.** `Graph(num_nodes, src, dst, capacity_units, cost, resolution)` builds an + immutable directed multigraph: parallel edges and self-loops are allowed. The arrays are in + input order (the caller's). Capacities are already in units; use `to_units` for physical + values. +- **Validation order.** When an input has several defects, the first in this order is reported as a + `ValueError`: the resolution; the capacity values (each an integer in `[0, 2^62)`; floats and + booleans are rejected, not rounded); the array shapes; a zero or negative cost; the remaining + bounds (node ids in range, then the capacity and cost sums below `2^62`, both added up edge by + edge in input order: the first edge at which a running sum reaches `2^62` reports that sum, the + capacity sum before the cost sum at the same edge). Integers are read + without narrowing, so the reported error does not depend on how the same input is represented. +- **Size.** Node ids and EdgeIds are `int32`: a graph has at most `INT32_MAX` (`2^31 - 1`) nodes + and at most as many edges. The constructor accepts every graph within these bounds, and the + searches and route values work on all of them. The flow core (`Global` routing, the `MAX_FLOW` kernel and the + evaluators that use them) numbers a solve's network in `int32` as well: it adds a virtual + source and a virtual sink, and gives every edge and every virtual arc (one per source, one per + destination) two slots, one to add flow and one to cancel it. A solve therefore raises + `ValueError`, before the solver sizes anything and with nothing changed, on a network of more + than `INT32_MAX - 2` nodes, or with more than `2^30 - 1` edges, sources and destinations + together. A `Global` solve counts the graph's nodes, the eligible edges, the roster sources and + the eligible destinations; a `MAX_FLOW` solve counts the nodes of the flow's member edges and + endpoints, its member edges, its source and its destinations. Only graphs of billions of nodes + or about a billion edges reach these limits. +- **EdgeId.** The EdgeId of an edge is its rank in the stable order `(src, cost, dst, input + position)`. `input_index()[e]` is the input position of edge `e`; the inverse map is the + caller's to build (one pass over `E`). +- **EdgeId order is the coordinate of every per-edge value.** Residual arrays, Eligibility + exclusions, DAG and Path edges, flows, records, `bottleneck`, `min_cut` and sensitivity entries + all use EdgeIds. A caller that keeps per-edge data in input order translates it first: an + in-range id in the wrong coordinate is silently a different edge, and no check can catch that. +- **Layout guarantees.** The out-edges of node `u` are exactly the ids + `row_offsets()[u]` to `row_offsets()[u + 1] - 1`, in `(cost, dst, input)` order, and + `edge_dst()[e]` is the head of `e`. The in-edges of node `v` are + `in_adj_edge_index()[in_row_offsets()[v]:in_row_offsets()[v + 1]]`, as EdgeIds in + `(cost, src, input)` order. Both offset arrays have `N + 1` entries, starting at 0 and ending + at `E`, also for an empty graph. +- **Accessors.** `capacity_units()`, `cost()` (`int64[E]`), `edge_src()`, `edge_dst()`, + `input_index()`, `row_offsets()`, `in_row_offsets()` and `in_adj_edge_index()` (`int32`) are + read-only NumPy views that keep the graph alive; `max_cost()` and `cost_gcd()` are 0 for a + graph without edges; `uid()` is a process-unique number, never reused. +- **Ids belong to one graph.** Building a graph from different arrays, or with another release of + the library, may renumber the edges. Every value bound to a graph (Eligibility, PredDAG, + Path, ledger, cache) is rejected with another graph. + +```python +# Input order: edge 0 = 1->2, edge 1 = 0->2 (cost 5), edge 2 = 0->1. +g = ngc.Graph(3, [1, 0, 0], [2, 2, 1], [7, 8, 9], [1, 5, 1], 1.0) +print("src", g.edge_src().tolist(), "dst", g.edge_dst().tolist(), "cost", g.cost().tolist()) +print("input_index", g.input_index().tolist(), "row_offsets", g.row_offsets().tolist()) +``` + +```text +src [0, 0, 1] dst [1, 2, 2] cost [1, 5, 1] +input_index [2, 1, 0] row_offsets [0, 2, 3, 3] +``` + +### Eligibility + +**In plain words.** An `Eligibility` says which nodes and edges of one graph may be used, for +example to model a failure or a maintenance window. It is built from lists of exclusions and +never changes. + +**Exact rules.** + +- `graph.eligibility(excluded_nodes=(), excluded_edges=())` builds the value. Duplicates and + unsorted lists are accepted; out-of-range ids raise `ValueError`. An edge is allowed when it is + not excluded and both its endpoints are allowed. `node_allowed()` and `edge_allowed()` are + read-only boolean views. +- Empty lists give the all-allowed value, whose `uid()` is 0. Every other value has a fresh uid; + equal lists built twice give two different uids. Wherever an Eligibility is optional, `None` + means everything is allowed. +- `Eligibility.intersect(a, b)` allows what both allow. When the result equals one operand, that + operand is returned (same uid); otherwise the result is a new value with a new uid. Both + operands must belong to the same graph. +- Uids matter for the [DAG cache](#9-the-dag-cache): its key contains the Eligibility uid, so + build each state once and reuse the value. +- An excluded endpoint takes no part in a search or a policy: an excluded root or target in a + set is skipped, and an excluded single endpoint gives an empty result. + +## 3. Route values: PredDAG and Path + +**In plain words.** A route is either a DAG of predecessor edges (the shape a search returns: +possibly many equal-cost walks) or a `Path` (one explicit walk, each hop possibly a bundle of +parallel edges). Both are immutable, bound to their graph and checked once when built. + +**Exact rules.** + +- **`PredDAG`.** For node `v`, its entries are `parents()[k]` (the parent node) and + `via_edges()[k]` (the edge from that parent) for `k` from `parent_offsets()[v]` to + `parent_offsets()[v + 1] - 1`, in strictly ascending EdgeId. This is the one canonical form: + two DAGs of the same graph are equal exactly when their entries are equal; DAGs of different + graphs are never equal. `parents()` and `via_edges()` are read-only views; `parent_offsets()` + is built on demand. +- **`PredDAG.from_csr(graph, offsets, parents, via)`** validates, before reading any structure: + `offsets` has `N + 1` entries, starts at 0, never decreases and ends at + `len(parents) == len(via)`; then every id is in range, every via edge joins its parent to its + node, no `(node, via)` pair repeats, the DAG has no cycle and every node's entries are in + ascending via EdgeId. Any failure is a `ValueError`. +- **`Path(graph, hops)`.** `hops` is a list of hops, each a non-empty list of EdgeIds that share + one `(u, v)` pair (parallel members). Validation, in order: every member id in range, no + member twice, at least one hop, no empty hop, the members of a hop share `(u, v)`, consecutive + hops connect, no node is visited twice. The members keep the caller's order. `cost()` is the + sum over the hops of each hop's cheapest member; `src()`, `dst()` and `hops()` read the walk; + `to_dag()` gives the equivalent `PredDAG`. A single-member walk is `[[e1], [e2], ...]`. +- **`resolve_to_paths(graph, dag, src, dst, split_parallel_edges=False, max_paths=None)`** lists + the `src -> dst` walks of a DAG as `Path` values in increasing `(cost, hop count, edge-id + sequence)`, where a hop costs its cheapest member and is represented in the key by its lowest + member id. With `split_parallel_edges=False` the parallel members of a pair stay together in + one hop (ascending); with `True` every member combination is a separate path, and the paths are + sorted by each path's own `(cost, hop count, edge-id sequence)`. `max_paths` (at least 1) keeps + the first paths of that order. `src == dst`, a DAG of + another graph or `max_paths < 1` raise `ValueError`; an endpoint outside the DAG, or no walk, + gives `[]`. + +## 4. Search + +**In plain words.** `spf` finds shortest paths from a set of roots, forward or in reverse, +either to every node or only to the nearest of a set of targets. It returns the shortest-path +DAG, which contains every shortest route at once, or, on request, one canonical path chosen by a +fixed rule. `ksp` lists the K shortest simple paths in a fixed order. All searches see only +eligible edges with at least 1 unit of capacity; a supplied residual can exclude more. + +### Options shared by the searches + +- **`PathSelection(tie_break, priority, multipath=True, multi_edge=True)`.** `tie_break` and + `priority` have no default. + - `multipath=True` returns the DAG of every equal-cost walk; `False` the one canonical path. + - `multi_edge=True` keeps every eligible parallel member of a `(u, v)` pair; `False` keeps + one per pair (the member rule below). + - `tie_break`: `DETERMINISTIC` never compares priority values; ties fall to the lowest + EdgeId. `PREFER_HIGHER_PRIORITY` prefers the higher priority value first, then the lowest + EdgeId. + - `priority`: the per-edge value that `PREFER_HIGHER_PRIORITY` reads (and that the Weighted + kernel uses for membership and weights): `RESIDUAL` (residual units), `CAPACITY` (static + capacity units) or `HEADROOM` (residual divided by capacity, compared exactly as a + fraction). A search without a residual array reads static capacities for every priority. +- **The member rule** (`multi_edge=False`). Of the eligible parallel members of a pair, keep the + one with the lowest cost; among those, under `PREFER_HIGHER_PRIORITY`, the one with the + highest priority value; then the lowest EdgeId. This choice happens before any route is + searched, so it can change which walks exist. +- **Static eligibility** (always): the Eligibility and at least 1 unit of capacity. +- **Residual gating** (only when a `residual` array is supplied): `residual` is an `int64` array + in EdgeId order with every entry in `[0, capacity_units[e]]`. It excludes edges whose residual + is below the threshold (`min_residual` units for `spf`, 1 unit for `ksp`) and supplies the + residual values of the priority. It is read during the call only and must not change during + it. + +### Shortest paths + +`spf(graph, roots, SpfOptions(direction, selection, targets=None, residual=None, +min_residual=1, elig=None))` returns an `SpfResult` with `costs`, `dag` and `target_cost`. + +- **Roots and targets** are one node id or a sequence. Every root starts at distance 0. + Duplicates are removed. Validated in this order before any work (`ValueError`): the roots + (non-empty, ids in range), the targets (the same), a node in both sets, `multipath=False` + without targets, the residual (length, then every entry), `min_residual` (an integer of at + least 1), a foreign Eligibility. Excluded roots and targets are skipped; when every root is + excluded the result is empty, not an error. +- **Direction.** `FORWARD` searches from the roots along the edges. `REVERSE` searches toward the + roots against the edges, but the DAG it returns keeps the edges' own orientation: its walks + run from a target toward a root. A forward and a reverse search with the roles of roots and + targets exchanged describe the same shortest walks. +- **Without targets** every reachable node gets its final distance: `costs` is a read-only `int64[N]` array + with `UNREACHABLE` for the nodes not reached, `dag` holds every tight edge, `target_cost` is + `None`. +- **With targets** the search stops at the cost of the nearest targets (anycast: the nearest of + a set). `target_cost` is that cost (`None` when no target is reached), `dag` keeps only the + walks that end in a target at that cost, and `costs` is `None`. +- **The DAG is unique.** With `multipath=True`, costs are positive, so the member graph, the + roots, the direction and the targets (or their absence) determine one DAG. The member graph + changes through `multi_edge`, the member rule, static eligibility and residual gating; with the + member graph fixed, the tie mode, the priority, the capacity and residual values and the C++ + queue choice do not change the DAG. A forward search with targets and a reverse search with the + roots and the targets exchanged return the same DAG. Without targets the two directions can + return different DAGs, also when the reverse search is rooted at a node the forward search + reaches: each keeps the edges tight in its own direction. + +### The canonical single path + +With `multipath=False` (targets required), `spf` returns the one walk from a root to a target +that is first in this order: + +1. the lowest **cost**; +2. under `PREFER_HIGHER_PRIORITY` only: the highest **bottleneck**, the smallest priority value + along the walk (`DETERMINISTIC` skips this step); +3. the fewest **hops**; +4. the lexicographically smallest **sequence of EdgeIds** along the walk. + +The order is total, so the walk is unique. The same walk is returned by a forward search, by a +reverse search with the roles exchanged, and by `ksp` with `k=1`. Note the order of steps 3 and +4: a walk with fewer hops wins even when its first EdgeId is larger. The member rule above is a +separate, earlier choice: with `multi_edge=False` each pair is first reduced to one member, and +the canonical path is then chosen among the walks that remain. + +```python +F = ngc.Direction.FORWARD +# Two equal-cost walks 0->1->3 (capacity 1) and 0->2->3 (capacity 5). +g = graph(4, [(0, 1, 1, 1), (0, 2, 5, 1), (1, 3, 1, 1), (2, 3, 5, 1)]) +for sel in (DET, PREFER): + single = ngc.PathSelection(sel.tie_break, sel.priority, multipath=False) + r = ngc.spf(g, 0, ngc.SpfOptions(F, single, targets=3)) + print(sel.tie_break.name, r.target_cost, r.dag.via_edges().tolist()) + +# Equal cost 2: the direct edge (EdgeId 1) against the two-hop walk [0, 2]. +g = graph(3, [(0, 1, 1, 1), (1, 2, 1, 1), (0, 2, 1, 2)]) +single = ngc.PathSelection(ngc.EdgeTieBreak.DETERMINISTIC, ngc.EdgePriority.CAPACITY, + multipath=False) +r = ngc.spf(g, 0, ngc.SpfOptions(F, single, targets=2)) +print("fewest hops:", [p.hops() for p in ngc.resolve_to_paths(g, r.dag, 0, 2)]) +full = ngc.spf(g, 0, ngc.SpfOptions(F, DET)) +print("costs", full.costs.tolist(), "dag", full.dag.via_edges().tolist()) +``` + +```text +DETERMINISTIC 2 [0, 2] +PREFER_HIGHER_PRIORITY 2 [1, 3] +fewest hops: [[[1]]] +costs [0, 1, 2] dag [0, 1, 2] +``` + +### K shortest paths + +`ksp(graph, src, dst, KspOptions(k, selection, max_path_cost=None, residual=None, elig=None))` +returns a list of `(cost, Path)` pairs; every hop of every Path has one member. + +- **Order.** The simple `src -> dst` paths of the member graph in increasing `(cost, + -bottleneck under PREFER_HIGHER_PRIORITY, hop count, edge-id sequence)`: the canonical order + above applied to whole paths. The result is the first `k` paths of that order that are within + the ceiling. +- **Parallel members.** `multi_edge=True` makes every eligible member a separate path; + `multi_edge=False` keeps one member per pair by the member rule. `multipath` is + ignored. +- **Ceiling.** `max_path_cost` is `None`, `Absolute(c)` (cost at most `c`, `c >= 0`; `Absolute(0)` + is a valid budget) or `Stretch(f)` (cost at most `f` times the static shortest cost of the + member graph under the Eligibility, residual ignored; `f` finite and at least 1). Both are + inclusive and compared exactly: `f` is read as the exact binary fraction a float is. With + `Stretch`, no static route gives `[]`. +- **Residual gating** at 1 unit when a residual is supplied. +- Validated in this order before any work (`ValueError`): `src` and `dst` in range, `src == + dst`, `k >= 1`, the ceiling, the residual (length, then every entry), a foreign Eligibility. An + excluded endpoint or no path gives `[]`. + +```python +g = graph(3, [(0, 1, 3, 1), (0, 1, 5, 1), (1, 2, 9, 1)]) # parallel members 0 and 1 +collapse = ngc.PathSelection(ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, + ngc.EdgePriority.CAPACITY, multi_edge=False) +for sel in (DET, PREFER, collapse): + print([(c, p.hops()) for c, p in ngc.ksp(g, 0, 2, ngc.KspOptions(5, sel))]) +r = ngc.spf(g, 0, ngc.SpfOptions(F, DET, targets=2)) +print([p.hops() for p in ngc.resolve_to_paths(g, r.dag, 0, 2)], + [p.hops() for p in ngc.resolve_to_paths(g, r.dag, 0, 2, split_parallel_edges=True)]) +``` + +```text +[(2, [[0], [2]]), (2, [[1], [2]])] +[(2, [[1], [2]]), (2, [[0], [2]])] +[(2, [[1], [2]])] +[[[0, 1], [2]]] [[[0], [2]], [[1], [2]]] +``` + +## 5. Placement kernels and admission + +**In plain words.** A kernel decides how one flow spreads over its route. `MAX_FLOW` behaves like +a controller that pushes as much as the route can carry, cheapest walks first. `WEIGHTED` is a +router splitting traffic at every node by fixed weights (WCMP). `EQUAL_BALANCED` is a router +splitting equally at every node (ECMP), or equal-share tunnels. Admission is a separate choice: +`LOSSLESS` places only what fits end to end; `LOSSY` forwards hop by hop, as routers do, and +drops on each edge what does not fit. + +**Exact rules.** + +- **Split graph.** A flow uses the part of its route (DAG or bundle) that reaches its destination + set through the edges its kernel may use (its member edges). Which edges: `MAX_FLOW` uses the + edges with capacity in its view (the free capacity plus the flow's own allocation); + `EQUAL_BALANCED` uses the edges with at least 1 unit of static capacity; `WEIGHTED` uses, by its + `priority`, the edges with positive residual when the flow was created (`RESIDUAL`) or with at + least 1 unit of static capacity (`CAPACITY`). `WEIGHTED` with `HEADROOM` is rejected. Lossy + keeps its kernel's membership. +- **`MAX_FLOW`** solves the minimum-cost flow of the flow's cumulative amount on its route, over + the free capacity plus the flow's own current allocation. It may move the flow's own earlier + allocation (that is what lets it reach the maximum); it never moves another flow's. It fills + the cheapest walks of a mixed-cost bundle first. Per-edge changes between calls can be + negative. `MAX_FLOW` is Lossless only: a controller never drops. A flow beyond the flow core's + size limit raises `ValueError` ([section 2](#2-the-graph), Size). +- **`WEIGHTED`** splits at every node by highest averages over weights frozen when the flow is + created: the members' priority values at that moment (residual units under `RESIDUAL`, static + capacity units under `CAPACITY`). Weights are never renormalised; a member whose residual later + shrinks limits the flow. +- **`EQUAL_BALANCED`** splits at every node by round robin over its members, which are frozen + when the flow is created. +- **Lossless filling** (`WEIGHTED`, `EQUAL_BALANCED`). On a fixed route and plan, a flow's delivered + amount `T` only grows (an equal-share cohort that gains a tunnel re-splits its total; see [the + placement call](#the-placement-call)): a call raises it to the smallest of `T` plus the call's + budget and `T_max`, the largest amount whose allocation fits every member edge (found by exact + binary search). At `T_max` at least one member edge is exactly full; there is no safety margin. + Because the split rules are monotone, raising `T` never takes units away from an edge. +- **Lossy forwarding** (`WEIGHTED` or `EQUAL_BALANCED`, and only with `CostOnly` or `Pinned` + routing). Each call's offer is split at every node by the kernel's rule; each edge carries the + smaller of its share and its residual, and the rest is dropped on that edge. The delivery is + what reaches the destination set. An infinite offer injects into each first edge exactly its + residual. Records keep `offered`, `delivered` and per-edge `drops`; the transit drops are the + sum of `drops`, and the source drops are `offered - delivered - transit drops`. Lossy calls are + independent: nothing is re-offered and two calls are not equivalent to one. + +On a diamond with paths of capacity 10 and 2, equal-share forwarding stops at 5 units: round +robin gives the odd unit to the lower EdgeId (3 and 2), and a sixth unit would put 3 units on the +2-unit path. The weighted and maximum-flow kernels carry 12: + +```python +g = graph(4, [(0, 1, 10, 1), (1, 3, 10, 1), (0, 2, 2, 1), (2, 3, 2, 1)]) +kernels = ngc.FlowPlacement.EQUAL_BALANCED, ngc.FlowPlacement.WEIGHTED, ngc.FlowPlacement.MAX_FLOW +for kernel in kernels: + ledger = ngc.FlowLedger(g) + r = ngc.FlowPolicy(ledger, 0, 3, config(ngc.CostOnly(), placement=kernel)).place(100) + print(kernel.name, r.placed, r.remaining, r.termination.name, ledger.allocated().tolist()) + +ledger = ngc.FlowLedger(g) +pol = ngc.FlowPolicy(ledger, 0, 3, config(ngc.CostOnly(), admission=ngc.Admission.LOSSY)) +r = pol.place(10) +print("LOSSY", r.placed, r.remaining, r.termination.name, "drops", r.drops) +rec = pol.records()[0] +print("record", rec.offered, rec.delivered, rec.drops) +``` + +```text +EQUAL_BALANCED 5 95 EXHAUSTED [3, 2, 3, 2] +WEIGHTED 12 88 EXHAUSTED [10, 2, 10, 2] +MAX_FLOW 12 88 EXHAUSTED [10, 2, 10, 2] +LOSSY 7 3 COMPLETE drops [(1, 3)] +record 10 7 [(1, 3)] +``` + +The Lossy call is `COMPLETE` although 3 units were dropped: the whole offer of 10 was forwarded, +and what did not fit is accounted as drops, not as a shortfall ([section 7](#outcomes)). + +## 6. The ledger + +**In plain words.** A `FlowLedger` holds the traffic placed on one graph: a starting residual +(the baseline) and one record per flow. Policies place and remove its flows; it has no public +placement or removal of its own. Its own `reset()`, rejected while a policy is bound, replaces +the baseline and clears the records. Its residual is always the baseline minus everything its +records hold. + +**Exact rules.** + +- **`FlowLedger(graph, residual=None)`.** The baseline is an integer array in EdgeId order with + every entry in `[0, capacity_units[e]]` (a physical baseline goes through `to_units` first; + anything above the capacity is rejected); `None` means the capacities. The baseline never + changes except through `reset`. +- **Snapshots.** `allocated()` is the exact sum of every record's edges and `residual()` is + `baseline - allocated()`, both `int64[E]` copies. `capacity_units()` is the graph's view. + `graph()` returns the graph. +- **Records.** `records()` lists the live records (of bound policies and orphans) as snapshots + in FlowId order; `record(flow_id)` reads one. A FlowId is the pair `(ledger uid, id)`; ids are + never reused. A FlowId of another ledger, or a retired or unknown id, raises `ValueError`. +- **`FlowRecord`** fields: `flow_id`; `owner` (the policy's id); `sources` and `destinations` + (node sets); `placement` and `admission`; `bundle` (the flow's route as a `PredDAG`); + `route_cost` (the cheapest walk of the bundle, cached; `None` for an empty bundle); `offered` + (Lossy records only, else `None`); `delivered`; `edges` (`[(EdgeId, units)]`, ascending) and + `drops` (`[(EdgeId, units)]`, cumulative, ascending). +- **`bottleneck(sources, elig=None)`** is a saturation report: the edges (eligible, at least 1 + unit of capacity) that leave the set of nodes reachable from the allowed sources over edges + with at least 1 unit of residual, in ascending EdgeId. It follows edges forward only. It ignores + the destinations, so it is not a source-destination cut, and it can be empty while a route + exists. +- **Lifetimes.** The graph outlives the ledger and the ledger outlives its policies (Python keeps + them alive for you). + +| Ledger state | Reached by | `reset(residual)` | `copy()` | +| --- | --- | --- | --- | +| a policy is bound | building a policy on it | `ValueError` | `ValueError` | +| no policy bound | no policy built yet, or every policy destroyed | allowed: orphaned records and their allocations are cleared, their ids retired, the new baseline set | a new ledger with a new uid and the same records and ids | + +A policy destroyed without `remove()` leaves its records and allocations in the ledger as +**orphans**: readable, never changed again, cleared only by `reset`. + +## 7. Policies + +**In plain words.** A `FlowPolicy` is the routing model of one demand between a set of sources +and a set of destinations. `place(volume)` asks it to carry more; it routes, fills and possibly +grows its flows, commits everything at once, and reports how much was placed, what stopped it +and whether routes or weights changed. `remove()` takes all of its traffic back out. + +### Configuration + +`FlowPolicyConfig(routing=..., placement=..., admission=..., selection=...)` has four explicit +axes (independent settings) and no defaults. The routing is one of: + +| Routing | Models | Fields (defaults) | +| --- | --- | --- | +| `CostOnly()` | IGP forwarding (as OSPF or IS-IS routers do): static shortest paths, never refreshed | none | +| `CapacityAware(...)` | distributed CSPF tunnels (constrained shortest path first: each tunnel head picks a shortest path with enough free capacity) | `flow_count=1`, `max_flow_count=None`, `max_path_cost=None`, `min_flow_bandwidth=0`, `reoptimize=False`, `diminishing=None` | +| `Global()` | an ideal controller that sees the whole network | none | +| `Pinned(bundles)` | explicit routes given by the caller | a list of `PredDAG` (a `Path` converts with `to_dag()`); copied when the policy is built | + +`FlowPolicy(ledger, sources, destinations, config, elig=None, cache=None)` binds the policy to +its ledger. `sources` and `destinations` are one node id or a sequence; the two sets must not +overlap. Construction validates everything before the policy binds (a field that a routing does +not have is a `TypeError`; every other defect a `ValueError`): the endpoint sets, a foreign +`Eligibility` or `DagCache`, and the configuration below. The order between these three groups +of checks is not specified: when defects of two groups meet, the one reported may differ between +the C++ constructor and Python. The configuration's rules: + +- `WEIGHTED` with priority `HEADROOM` is rejected. +- `LOSSY` is rejected with `MAX_FLOW`, with `Global` and with `CapacityAware`. +- `Global` requires `MAX_FLOW`. +- `flow_count >= 1`; `max_flow_count` is `None` (no ceiling) or at least `flow_count`; + `min_flow_bandwidth` is in [0, 2^62) units; `max_path_cost` is `None`, `Absolute(c)` with + `c >= 0` or `Stretch(f)` with `f` finite and at least 1 (as for `ksp`); `diminishing` is `None` + (off) or `DiminishingReturns(window, fraction)` with `window >= 1` and `fraction` strictly + between 0 and 1. +- `Pinned`: one source and one destination; at least one bundle; no duplicate bundles; every + bundle runs from the policy's source to its destination and has at least one walk. + +What each routing reads from `selection`: `CostOnly` and `CapacityAware` read all four fields. +`Global` and `Pinned` read only `priority`, and only with the `WEIGHTED` kernel (for membership +and weights). Ignoring a field is not an error. + +### The source roster + +The roster is fixed when the policy is built. For `CostOnly`, `CapacityAware` and `Global` it is +the allowed sources that have a static walk to an allowed destination over edges of at least 1 +unit, in ascending node id. For `Pinned` it is the single source when at least one bundle is +usable. The roster decides which records exist and which `local_outcomes` are reported. A +positive request with an empty roster creates nothing and ends `NO_ROUTE`. + +### Routing modes + +- **`CostOnly`** creates one flow per roster source, on the static shortest-path DAG toward the + destination set, or with `multipath=False` on that source's canonical path. The route is read + from the [DAG cache](#9-the-dag-cache) and the selection is applied when the flow is created + (priorities read from the residual at that moment for `RESIDUAL` and `HEADROOM`, from the + static capacities for `CAPACITY`). The route is never refreshed, grown or reoptimised. +- **`CapacityAware`** routes by the canonical path or the DAG of [section 4](#4-search) on the + current free capacity, excluding edges with less than `max(1, min_flow_bandwidth)` units free and + routes above `max_path_cost` (`Stretch` is relative to the static shortest cost, computed when the + policy is built). A source first creates `flow_count` flows, one search at a time, each search + seeing the capacity the earlier ones reserved; with `reoptimize=True` it moves a retained flow to + a newly found route only if the flow keeps its whole amount there; while the offer is not met it + grows its cohort by one flow at a time, up to `max_flow_count`. Growth stops when the new route is + a multipath DAG equal to an existing flow's route (it would add nothing); a repeated single path + is a real candidate (tunnels of equal share fill a fatter path with more tunnels). `diminishing` + stops growth once at least `window` growth steps were accepted in the call and the last `window` + gains sum below `fraction` times the source's (finite) offer. A call creates at most + `MAX_FLOWS_PER_CALL` (10,000) flows over all sources. This mode is greedy: route order matters and + the result is not an upper bound. +- **`Global`** re-solves, on every positive call, the minimum-cost flow of the amount the + policy already delivers plus this call's request (`placed_demand()` plus the request; what an + earlier call could not place is not requested again) from its whole source set to its whole + destination set over every eligible edge, on the free capacity plus its own allocation (it may + move its own traffic, never another owner's). Hence `place(a)` followed by `place(b)` ends in + the same allocation as `place(a + b)` on an unchanged network, and the result is always a + minimum-cost flow of the amount the policy delivers. It keeps one record per roster source; each record's bundle is the set of edges + that carry that source's share, extracted in a canonical order, and is rebuilt on every positive call + under the same FlowId. A source with no share has an empty bundle and `route_cost` `None`. + `cost_distribution` reports the marginal cost curve of the cumulative flow: `(cost, units)` + pairs in ascending cost, saying how many units cost that much at the margin. A positive call on + a network beyond the flow core's size limit raises `ValueError` ([section 2](#2-the-graph), + Size). +- **`Pinned`** creates one flow per usable bundle, in the order given. A bundle is usable when at + least one of its walks survives the Eligibility over edges of at least 1 unit of capacity; its + `route_cost` is the cheapest such walk. Bundles that become equal after that pruning keep separate flows. When no bundle is + usable, `usable_bundles()` is 0 and a positive request ends `NO_ROUTE`. + +### Several sources and destinations + +- **Destinations** (`CostOnly`, `CapacityAware`): a route goes to the nearest destinations, and + one flow may deliver to several of them at that cost. A record's `delivered` is its total; the + delivery to one destination is the sum of the record's `edges` entering it. +- **Sources** (`CostOnly`, `CapacityAware`) act as independent routers or tunnel heads. The + policy's cumulative request is split over the roster by round robin in ascending node id, and + each source is offered the increase of its share in this call (an infinite request offers + infinity to every source). Sources are placed one after another, in ascending node id, on the + shared free capacity; what one source cannot place is not passed to another. Lossy sources are + split the same way: two calls of 1 unit over two sources offer 1 to each. +- **`Global`** optimises the whole source set and destination set together and may use a + costlier destination to carry more. +- **`Pinned`** has a single source and a single destination. + +Because sources are placed in order, a split request is not equivalent to one large request: +two sources sharing a 2-unit edge get `[1, 1]` from `place(2); place(2)` but `[2, 0]` from +`place(4)`. + +### The placement call + +`place(volume, outputs=None)` takes a request in units (an `int`) or `float('inf')`. + +1. **Validation** happens before anything changes. Within an epoch, a finite request after an + infinite one is rejected (the cumulative request would be undefined), `place(0)` included. +2. **A request of 0** is `COMPLETE` and does nothing: it creates no flow. +3. **`Global`** re-solves as described above. +4. **`CostOnly`, `CapacityAware`, `Pinned`** run, per source and on one shared working copy of + the free capacity: creation (while the source has no flows), reoptimisation (`CapacityAware` + with `reoptimize`), filling (each flow, or each equal-share cohort, raised toward its + maximum), growth (`CapacityAware`). +5. **Commit.** All changes to the ledger and the policy are committed together at the end, or + none are ([section 8](#8-failures-threads-and-lifetimes)). + +What the call guarantees: + +- `placed` is the increase in delivery made by this call, and `0 <= placed <= volume`. For Lossy + it is this call's delivery. `remaining = volume - placed` (`float('inf')` for an infinite + request; for Lossy it includes what was dropped). +- A call never reduces `placed_demand()`, the sum of `delivered` over the policy's records. The + total of an equal-share cohort never decreases; one tunnel's amount can decrease when growth + re-splits a larger total over more tunnels (`[3, 3]` plus a new tunnel can become + `[3, 2, 2]`). +- The first positive request creates the source's flows even when none of them can deliver + anything yet (`CapacityAware` only creates a flow on a route it finds). Such a zero-delivery + record keeps its FlowId for the rest of the epoch and can fill on a later call. +- **Additivity.** For one source and a Lossless kernel on a fixed route or cohort, with the rest + of the network unchanged between the calls, `place(a); place(b)` equals `place(a + b)` + exactly; `Global` is additive in value and cost curve on an unchanged network. Competing + sources of one policy and Lossy are not additive. + +### Epochs + +`remove()` takes every flow of the policy out of the ledger (allocations reverted, records gone, +ids retired) and starts a new epoch: the cumulative request, the round-robin position of the +source split and the finite-or-infinite state are reset. The next positive request creates new +flows with new ids; ids are never reused. + +```python +g = graph(4, [(0, 1, 10, 1), (1, 3, 10, 1), (0, 2, 2, 1), (2, 3, 2, 1)]) +ledger = ngc.FlowLedger(g) +pol = ngc.FlowPolicy(ledger, [0, 1], 3, config(ngc.CostOnly())) +for v in (1, 1, 0): + r = pol.place(v) + print(v, r.placed, r.routes_changed, [(x.flow_id[1], x.delivered) for x in pol.records()]) +pol.remove() +r = pol.place(1) +print(1, r.placed, r.routes_changed, [(x.flow_id[1], x.delivered) for x in pol.records()]) +``` + +```text +1 1 True [(0, 1), (1, 0)] +1 1 False [(0, 1), (1, 1)] +0 0 False [(0, 1), (1, 1)] +1 1 True [(2, 1), (3, 0)] +``` + +The first unit goes to source 0 and the second to source 1 (round robin of the cumulative +request); the first call creates both records, source 1's at zero delivery. After `remove()` the +split starts again at source 0, under new ids. + +### Outcomes + +Each roster source ends a call with a **local outcome**; the call's `termination` combines them. +A source's offer is **served** when it is 0, when (Lossless) the delivery equals the offer, or +when (Lossy, finite offer) the whole offer was forwarded, drops included. A Lossy infinite offer +is never served. The local outcome is the first row that applies: + +| Local outcome | When | +| --- | --- | +| `COMPLETE` | the offer is served | +| `LIMIT_FLOWS` | not served, and creation or growth was stopped by `MAX_FLOWS_PER_CALL` or by `max_flow_count` when `max_flow_count > flow_count` | +| `LIMIT_DIMINISHING` | not served, and the `diminishing` guard stopped growth | +| `NO_ROUTE` | not served, and the source has no flows after the call (no route was found; `Pinned`: no usable bundle; `Global`: the maximum flow is 0 and nothing was ever placed) | +| `EXHAUSTED` | not served otherwise: every flow is at its maximum on its route and growth found nothing that helps (a costlier helpful route may still exist), a fixed-size cohort (`max_flow_count == flow_count`) is full, `Global` is at the maximum flow, or a Lossy infinite offer | + +`local_outcomes` lists `(source, outcome)` for every roster source in ascending node id. For +`Global` and `Pinned` the policy acts as one, so every entry equals the call's `termination`. + +The call's **`termination`**: an invalid call raises instead of returning; a request of 0 is +`COMPLETE`; a positive request with an empty roster is `NO_ROUTE`; otherwise, if every source is +served, `COMPLETE`, else the highest local outcome among the unserved sources in the order + +`LIMIT_FLOWS` > `LIMIT_DIMINISHING` > `EXHAUSTED` > `NO_ROUTE`. + +A served source never changes the result: two sources without a route give `NO_ROUTE`, one +`EXHAUSTED` and one `NO_ROUTE` give `EXHAUSTED`, one `LIMIT_FLOWS` and one `EXHAUSTED` give +`LIMIT_FLOWS`. `remaining` is an amount, never a status: a Lossy call can be `COMPLETE` with a +positive `remaining`. + +```python +# Source 0 has two disjoint 1-unit tunnels to node 4; source 1 one 1-unit edge. +g = graph(5, [(0, 2, 1, 1), (0, 3, 1, 1), (2, 4, 1, 1), (3, 4, 1, 1), (1, 4, 1, 1)]) +tunnel = ngc.PathSelection(ngc.EdgeTieBreak.DETERMINISTIC, ngc.EdgePriority.RESIDUAL, + multipath=False) + +def show(r): + print(r.placed, r.termination.name, [(s, t.name) for s, t in r.local_outcomes]) + +# Request 10: each source is offered 5. Source 0 stops at its ceiling of 2 tunnels. +pol = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 4, + config(ngc.CapacityAware(max_flow_count=2), ngc.FlowPlacement.MAX_FLOW, + selection=tunnel)) +show(pol.place(10)) + +# Another demand holds source 1's only edge; request 6 offers 3 to each source. +ledger = ngc.FlowLedger(g) +ngc.FlowPolicy(ledger, 1, 4, config(ngc.CostOnly())).place(1) +pol = ngc.FlowPolicy(ledger, [0, 1], 4, + config(ngc.CapacityAware(max_flow_count=3), ngc.FlowPlacement.MAX_FLOW, + selection=tunnel)) +show(pol.place(6)) +``` + +```text +3 LIMIT_FLOWS [(0, 'LIMIT_FLOWS'), (1, 'EXHAUSTED')] +2 EXHAUSTED [(0, 'EXHAUSTED'), (1, 'NO_ROUTE')] +``` + +`LIMIT_FLOWS` is reported when the ceiling is reached before the offer is met, even if no further +route would have existed. + +### Flags + +`routes_changed` and `weights_changed` start false in every call and record only changes that +were committed. Once set in a call, a flag stays set; a call with no committed structural change +ends with both false, even when it places nothing. + +| Committed change | `routes_changed` | `weights_changed` | +| --- | --- | --- | +| a cohort is created, in any routing mode, also at zero delivery and in a new epoch after `remove()` (`CapacityAware` only with a route, possibly on a later call) | true | unchanged | +| a retained flow is moved to a new route (`reoptimize`) | true | true when a `WEIGHTED` flow's weights were captured again (also when the call places nothing) | +| growth adds a flow (also on a route equal to an existing flow's: routes belong to flows) | true | unchanged | +| a `Global` call changes the edges some source's share uses, also with `placed == 0` | true | `Global` never sets it | +| nothing of the above: a request of 0, rejected candidates only, `Global` with every source's edges unchanged | unchanged | unchanged | + +A candidate route equal to the flow's current route is not a change. + +```python +# A first request on a route whose only unit another demand holds. +g = graph(5, [(0, 2, 1, 1), (0, 3, 1, 1), (2, 4, 1, 1), (3, 4, 1, 1), (1, 4, 1, 1)]) +ledger = ngc.FlowLedger(g) +ngc.FlowPolicy(ledger, 1, 4, config(ngc.CostOnly())).place(1) +pol = ngc.FlowPolicy(ledger, 1, 4, config(ngc.CostOnly())) +r = pol.place(1) +print(r.placed, r.termination.name, r.routes_changed, [x.delivered for x in pol.records()]) +``` + +```text +0 EXHAUSTED True [0] +``` + +### The result + +`place` returns a `PlacementResult`: + +- `placed`, `remaining`, `termination`, `local_outcomes`, `routes_changed`, `weights_changed` as + above; +- `drops`: this call's transit drops as `[(EdgeId, units)]` (records keep the cumulative drops); +- `cost_distribution`: `Global` only, the marginal cost curve of the policy's cumulative flow (a + request of 0 reports it unchanged); `None` for every other mode. For other modes, the sum of + `(route_cost, delivered)` over the records is a histogram of delivery by each record's cheapest + walk cost: the cost every unit travels at for `CostOnly` and `CapacityAware`, whose routes have + one cost, but not for a `Pinned` bundle whose walks differ in cost; +- optional outputs, `None` unless requested through `OutputOptions(edge_flows=False, + residual=False, bottleneck=False)`: `edge_flows` is the policy's own allocation per edge after + the call (the ledger's total is `allocated()`); `residual` and `bottleneck` are the ledger's + after the call; on `Global`, requesting `bottleneck` also returns `min_cut`. +- **`bottleneck` and `min_cut` are different things.** `bottleneck` is the saturation report of + [section 6](#6-the-ledger), available in every mode. `min_cut` exists on `Global` only: the + edges of a minimum cut of the policy's view, the one on the sources' side: the edges of + positive capacity in that view that leave the nodes the sources can still reach once the flow is maximal + (counting the option to undo flow on an edge), in ascending EdgeId. It is present only when the solve reached the + maximum on its view; when a request below the maximum stopped it, and on a request of 0 + (nothing is solved), `min_cut` is `None`. + +```python +g = graph(4, [(0, 1, 10, 1), (1, 3, 10, 1), (0, 2, 5, 2), (2, 3, 5, 2)]) +ledger = ngc.FlowLedger(g) +pol = ngc.FlowPolicy(ledger, 0, 3, config(ngc.Global(), ngc.FlowPlacement.MAX_FLOW)) +want = ngc.OutputOptions(bottleneck=True) +r = pol.place(12, want) +print(r.placed, r.cost_distribution, r.min_cut, r.bottleneck, r.termination.name) +r = pol.place(float("inf"), want) +print(r.placed, r.cost_distribution, r.min_cut, r.bottleneck, r.termination.name) +``` + +```text +12 [(2, 10), (4, 2)] None [0] COMPLETE +3 [(2, 10), (4, 5)] [0, 1] [0, 1] EXHAUSTED +``` + +After 12 units the cheap path (cost 2) is full and the solve stopped below the maximum, so there +is no cut; `bottleneck` already reports the full edge 0. The second call adds 3 units at cost 4 +and reaches the maximum of 15. + +## 8. Failures, threads and lifetimes + +**In plain words.** A call either does everything or changes nothing: if it fails, for any +reason, every ledger, policy and cache is as it was and you get one exception. There are two +stated exceptions to this, described below. Immutable values can be shared freely between +threads; ledgers, policies and building caches have one writer at a time. + +**Exact rules.** + +- **All or nothing.** A failure anywhere in a public call (validation, memory allocation, a + worker thread, the construction of the Python result) leaves every ledger, policy, cache and + internal buffer as it was before the call and raises one exception in the caller's thread. + Worker threads are always joined first; an exception never escapes a worker. When several pairs + or candidates of an evaluator fail, the exception of the lowest index is raised. +- **Limit 1: pybind11's own object machinery.** Constructing a bound object from Python (any of + the library's classes) and converting a returned value into a new Python object or container + outside the library's checked result construction (for example `PredDAG.from_csr`, + `Graph.eligibility`, `SensitivityResult.baseline`, `FlowPolicy.records()`) use pybind11's own + allocation paths, which do not all check for failure. A memory failure at exactly that point + may crash the process instead of raising. Library state is never left half-changed by it. The + results of `spf`, `ksp`, `resolve_to_paths`, `FlowPolicy.place`, `capacity`, `batch_capacity` + and `sensitivity` are built through a checked path and stay inside the guarantee. +- **Limit 2: a `DagCache` passed to the call.** A building cache is a memo: when a call fails + after some cache lookups succeeded (a policy constructor failing after its lookup, an evaluator + failing midway), the cache keeps those complete entries and their statistics. It never holds a + partial entry, every value it handed out stays valid, and a kept entry never changes any later + result. A failed lookup counts one miss. A frozen cache never changes its entries; a failed + call changes none of its statistics, except one miss when the call raised `DagCacheMiss`. +- **Threads.** `Graph`, `Eligibility`, `PredDAG`, `Path` and a frozen `DagCache` may be shared + by any number of threads. A `FlowLedger`, a `FlowPolicy` and a building `DagCache` have one + writer and no concurrent readers. An array lent to a call (a residual) must not change during + the call. +- **Lifetimes.** The graph outlives the ledger, the ledger outlives its policies; Python keeps + the graph, ledger, Eligibility and cache alive while a policy needs them. +- **Exception classes.** `ValueError` for a value outside its domain, an invalid combination, a + foreign object (a value of another graph, ledger or policy) or a call in the wrong state; + `TypeError` for a field or option that does not exist (for example `CostOnly(flow_count=2)`), + an argument of the wrong type, or an argument that cannot be converted to its parameter's type: + an integer beyond the float range where a float is expected (the `resolution` of `Graph`, + `to_units` and `as_float`) is a `TypeError`. The fields that convert their own values (the + factor of `Stretch`, the fraction of `DiminishingReturns`, the request of `place`) raise + `ValueError` for such an integer and pass on unchanged any exception raised by the value's own + conversion (its `__float__` or `__index__`), whatever its class. `DagCacheMiss` for a miss in + a frozen cache (its own class, neither a `ValueError` nor a `RuntimeError`). + +```python +g = graph(4, [(0, 1, 10, 1), (1, 3, 10, 1), (0, 2, 2, 1), (2, 3, 2, 1)]) +ledger = ngc.FlowLedger(g) +pol = ngc.FlowPolicy(ledger, 0, 3, config(ngc.CostOnly())) +print(pol.place(float("inf")).placed) +try: + pol.place(1) # a finite request after +inf in the same epoch +except ValueError: + print("ValueError; unchanged:", pol.placed_demand(), ledger.allocated().tolist()) +``` + +```text +5 +ValueError; unchanged: 5 [3, 2, 3, 2] +``` + +## 9. The DAG cache + +**In plain words.** Many placements need the same static shortest-path DAG toward the same +destinations. A `DagCache` remembers those DAGs for one graph. It stores the full DAG and applies +each caller's selection afterwards, so one entry serves every selection. A cache is either +building (one writer adds entries) or frozen (read-only, shared by many threads, and a miss is an +error). + +**Exact rules.** + +- **Binding and key.** `DagCache(graph)` is bound to one graph (`graph_uid()`). The key is + `(the root set as a sorted set, the direction, the Eligibility uid)`. The value is the full + static shortest-path DAG: the DAG with `multipath=True`, `multi_edge=True` and no residual. Values are + immutable and stay valid after `clear()` and after the cache is destroyed. +- **Selection is never cached.** The single path and the member rule are applied when a flow is + created, on the cached DAG, reading priorities from the residual at that moment for + `RESIDUAL` and `HEADROOM` and from static capacities for `CAPACITY`. Because the cached DAG keeps + every equal-cost parallel member, a member that a static choice would have dropped is still + available when its residual makes it the right one. +- **Who reads it.** `CostOnly` policies read the cache (keyed by their destination set, reverse + direction, and Eligibility uid); so do the evaluators when they run a `CostOnly` configuration. + The other routing modes do not read it. + +| Operation | Building | Frozen | +| --- | --- | --- | +| lookup hit | returns the value | returns the value; safe from many threads | +| lookup miss | searches, inserts, returns | raises `DagCacheMiss` | +| `freeze()` | becomes frozen | no effect | +| `clear()` | empties the cache; hit and miss counters persist | `ValueError` | +| `thaw()` | no effect | becomes building; join every reader first | +| destruction | allowed | allowed after joining every reader; values already handed out stay valid | + +- **Statistics.** `stats()` returns `hits`, `misses`, `entries`, `bytes` (the entries' retained + arrays, without container overhead) and `live_values` (values alive anywhere, cache entries + included). Each field is atomic; together they are not one consistent snapshot. An invalid + query (foreign graph, bad root) counts nothing. A frozen cache's statistics follow the public + call: its hits count only when the call succeeds, its Python result included; a failed call + changes no statistic, except one miss for a call that raises `DagCacheMiss`. +- **Workers.** A supplied building cache is accepted only with `workers == 1` (`ValueError` + otherwise). A frozen cache may be shared by every worker. Without a supplied cache, each + worker uses its own private building cache. +- **Uids and frozen caches.** A per-pair Eligibility that the evaluator must intersect with a + common one gets a new uid when the result differs from both, and that key cannot be in a + frozen cache. To reuse prefilled entries, pass already-combined per-pair values with + `elig=None`, or a common value that contains them (so the intersection returns the + prefilled operand). +- **Scope.** Use one cache per series of analyses on one graph, and drop it at the end of the + series. + +```python +g = graph(5, [(0, 1, 10, 1), (1, 3, 10, 1), (0, 2, 2, 1), (2, 3, 2, 1), (3, 4, 9, 1)]) +cache = ngc.DagCache(g) +opts = ngc.CapacityOptions(config(ngc.CostOnly()), cache=cache) +rs = ngc.batch_capacity(g, [(0, 3), (1, 3)], opts) # building: workers defaults to 1 +print([r.placed for r in rs], cache.stats().hits, cache.stats().misses) +cache.freeze() +rs = ngc.batch_capacity(g, [(0, 3), (1, 3)], opts, workers=2) # frozen: shared by 2 workers +print([r.placed for r in rs], cache.stats().hits, cache.stats().misses) +try: + ngc.capacity(g, 0, 4, opts) # destination 4: not in the cache +except ngc.DagCacheMiss: + print("DagCacheMiss; misses =", cache.stats().misses) +``` + +```text +[5, 10] 1 1 +[5, 10] 3 1 +DagCacheMiss; misses = 2 +``` + +## 10. Evaluators + +**In plain words.** The evaluators answer questions about a model without touching your ledgers. +`capacity` asks how much one model can carry between two node sets by placing an unlimited +request on a fresh, empty ledger. `batch_capacity` asks that for many pairs. `sensitivity` asks, +for each link, how much the answer drops when that link is removed. A fresh ledger means these +answers can differ from placing into a ledger that other demands already occupy. + +**Exact rules.** + +- **`capacity(graph, sources, destinations, CapacityOptions(config, elig=None, cache=None, + outputs=None))`** is `place(float('inf'))` of a `FlowPolicy` with `config` on a fresh ledger of + the graph, and returns its `PlacementResult`. The exact maximum flow is the configuration + `Global` with `MAX_FLOW`: its result carries the marginal cost curve and, with + `OutputOptions(bottleneck=True)`, the minimum cut. +- **`batch_capacity(graph, pairs, opts, per_pair_elig=None, workers=None)`** runs `capacity` for + each `(sources, destinations)` pair and returns the results in pair order. Pair `i` uses + `opts.elig` intersected with `per_pair_elig[i]` (entries may be `None`; a given list has one + entry per pair). Everything is validated before any worker starts: first the arguments (the + worker count, the graph of `opts.elig` and of the cache, the cache rule, `Pinned`, which is + rejected because its bundles fix the endpoints, the configuration, then the length of + `per_pair_elig`), then each pair completely (its endpoint sets, their overlap, its + Eligibility's graph) in pair order, so the error of the lowest failing pair is the one raised. + An empty batch returns `[]`. +- **`sensitivity(graph, sources, destinations, SensitivityOptions(config, elig=None, cache=None, + outputs=None), workers=None)`** returns a `SensitivityResult`: `baseline` (the result of + `capacity`, with the requested outputs) and `entries`, one `SensitivityEntry(edge, loss)` per + candidate edge, in ascending EdgeId. + - **Candidates.** With `Global`: the edges that carry flow in the baseline (removing an edge + without flow cannot lower a maximum flow). With every other routing: every allowed edge with + at least 1 unit of capacity. An edge without an entry has loss 0. + - **Loss** is `baseline.placed` minus the `placed` of `capacity` with that edge also excluded, + in units, signed and never rounded or thresholded. A negative loss means the model carries + more without the edge (for example, equal splitting no longer sends a share down a thin + path). `Global` computes each deletion by repairing a copy of the baseline's solve, which + gives exactly the value of a fresh solve; `CostOnly` gives loss 0 without recomputation to an + edge outside the static shortest-path support reachable from the roster sources (no route + can use it); these are equivalent forms of the same definition. + - **Cache.** Each deletion uses a new Eligibility uid, so a `CostOnly` deletion that has to + be placed raises `DagCacheMiss` through a frozen cache. The other routing modes read no + cache. Private caches are cleared between candidates. +- **Workers.** An explicit `workers` (an integer of at least 1) is always honoured; the + evaluator uses at most one thread per pair or candidate. With `workers=None` the default is 1 + when a cache is supplied, and otherwise comes from the environment: + + | Variable | Default worker count of | Accepted values | + | --- | --- | --- | + | `NGRAPH_CORE_BATCH_THREADS` | `batch_capacity` | an integer in `[1, 4096]`; unset or anything else means 1 | + | `NGRAPH_CORE_SENSITIVITY_THREADS` | `sensitivity` | the same | + + The variables only supply defaults; they never override an explicit `workers`. The C++ + functions take the worker count as an explicit argument. +- **Failures** follow [section 8](#8-failures-threads-and-lifetimes): a failed evaluator call + raises (also a solve beyond the flow core's size limit of [section 2](#2-the-graph), with + `Global` or `MAX_FLOW`), and a failed deletion fails the whole `sensitivity` call (the + exception of the lowest failing candidate; no entry is returned); a supplied building cache + keeps the entries of the lookups that succeeded before the failure; a supplied frozen cache's + statistics are unchanged, except one miss when the call raises `DagCacheMiss`. + +```python +g = graph(4, [(0, 1, 10, 1), (1, 3, 10, 1), (0, 2, 2, 1), (2, 3, 2, 1)]) +for routing, kernel in ((ngc.CostOnly(), ngc.FlowPlacement.EQUAL_BALANCED), + (ngc.Global(), ngc.FlowPlacement.MAX_FLOW)): + s = ngc.sensitivity(g, 0, 3, ngc.SensitivityOptions(config(routing, kernel))) + print(type(routing).__name__, s.baseline.placed, + [(e.edge, e.loss) for e in s.entries]) +``` + +```text +CostOnly 5 [(0, 3), (1, -5), (2, 3), (3, -5)] +Global 12 [(0, 10), (1, 2), (2, 10), (3, 2)] +``` + +Under equal splitting the thin path (edges 1 and 3) holds the whole diamond back to 5 units; +without it the wide path alone carries 10, a loss of -5. + +## 11. C++ names + +The C++ library (namespace `netgraph::core`) has the same semantics. Its public headers are +self-contained: + +| Header | Declares | +| --- | --- | +| `netgraph/core/types.hpp` | `NodeId`, `EdgeId` (`int32`), the cost and amount aliases (`int64`), `kDomainLimit` (`2^62`), `kUnreachable` | +| `netgraph/core/graph.hpp` | `Graph`, `to_units`, `as_float` | +| `netgraph/core/eligibility.hpp` | `Eligibility` | +| `netgraph/core/pred_dag.hpp` | `PredDAG`, `Path` | +| `netgraph/core/options.hpp` | `Direction`, `Absolute`, `Stretch`, `EdgeTieBreak`, `EdgePriority`, `PathSelection`, `FlowPlacement`, `Admission` | +| `netgraph/core/search.hpp` | `spf`, `ksp`, `resolve_to_paths`, `SpfOptions`, `SpfResult`, `KspOptions`, `SpfQueue` | +| `netgraph/core/flow_record.hpp` | `FlowId`, `Counter128` (the 128-bit cumulative counter), `FlowRecord` | +| `netgraph/core/flow_ledger.hpp` | `FlowLedger` | +| `netgraph/core/flow_policy.hpp` | `FlowPolicy`, its configuration and result types, `Termination`, `kMaxFlowsPerCall` | +| `netgraph/core/dag_cache.hpp` | `DagCache`, `DagCacheMiss` | +| `netgraph/core/evaluators.hpp` | `capacity`, `batch_capacity`, `sensitivity` and their option and result types | + +Spelling differences: Python enum members and constants are upper case +(`EdgeTieBreak.DETERMINISTIC`, `MAX_FLOWS_PER_CALL`, `UNREACHABLE`), C++ enumerators are capitalised +(`EdgeTieBreak::Deterministic`) and C++ constants carry a `k` prefix (`kMaxFlowsPerCall`, +`kUnreachable`). Where Python returns `None` for an unreachable cost (`target_cost`, `route_cost`), +C++ returns `kUnreachable`; an infinite request is an empty `std::optional` volume, and its +`remaining` is empty too. A Python `ValueError` is a `std::invalid_argument` in C++. `spf` takes a +trailing C++-only `SpfQueue` argument that chooses the search's internal queue; the results never +depend on it. diff --git a/include/netgraph/core/dag_cache.hpp b/include/netgraph/core/dag_cache.hpp index 01b8e6c..5d55d8c 100644 --- a/include/netgraph/core/dag_cache.hpp +++ b/include/netgraph/core/dag_cache.hpp @@ -1,4 +1,4 @@ -/* The DagCache of APPROACH 10: building and frozen modes, the dedicated frozen-miss exception. */ +/* The DagCache: building and frozen modes, the dedicated frozen-miss exception. */ #pragma once #include @@ -25,13 +25,9 @@ struct DagCacheAccess; class FrozenTally; } // namespace detail -// A lookup in a frozen DagCache whose key is absent (APPROACH 10): a dedicated exception, not a -// std::runtime_error, so no evaluator converts it into a status (a sensitivity entry's -// `unevaluable` comes from a std::runtime_error); every evaluator propagates it unchanged. Its -// message is shared, so copying it never allocates. what() is defined in dag_cache.cpp: as the -// key function it gives the type one vtable and one type_info. An all-inline class gets a weak -// copy per translation unit, and the LTO build of the extension kept two, so the binding's catch -// of DagCacheMiss missed the thrown one (NOTES R26). +// A frozen-cache lookup with no matching key throws DagCacheMiss. The shared message can be +// copied without allocation. Keep what() out of line: this gives the exception one vtable and +// type_info, so the binding can reliably catch it. class DagCacheMiss : public std::exception { public: explicit DagCacheMiss(const std::string& what) : what_(std::make_shared(what)) {} @@ -41,12 +37,13 @@ class DagCacheMiss : public std::exception { std::shared_ptr what_; }; -// A cache of shortest-path supports bound to one graph (by uid). The key is (the roots as a -// sorted set, the direction, the Eligibility uid; no Eligibility is uid 0); the value is the full -// static support of that search (multipath = true, multi_edge = true, no residual: every tight -// edge of the statically eligible member graph over the nodes it reaches, forward-oriented for a -// reverse search) as an immutable shared PredDAG, valid after clear() and after the cache is -// destroyed. Selection is never cached: a policy projects it at creation (APPROACH 9.1, 10). +// A cache of static shortest-path supports bound to one graph uid. A support contains every +// statically eligible edge with capacity >= 1 unit on a shortest path from the roots (Forward) +// or to them (Reverse), ignoring residual capacity. It keeps every equal-cost path and every +// parallel edge. The key is (sorted root set, direction, Eligibility uid; 0 for no Eligibility). +// Values are immutable shared PredDAGs; reverse searches keep the original edge orientation. +// Values remain valid after clear() or cache destruction. Selection is applied when a policy +// creates a flow and is never cached. // // Building mode (a new cache): one writer, no concurrent readers. A hit returns the value; a miss // runs the search, inserts and returns (a failed search counts one miss and inserts nothing); an @@ -60,14 +57,14 @@ class DagCacheMiss : public std::exception { // building mode once the caller has joined every reader (no lookup may run concurrently with // freeze(), thaw() or destruction). // -// Statistics are atomic per field, not a consistent snapshot: `bytes` is the retained payload of -// the entries (the DAGs' stored arrays), `live_values` the values alive anywhere, entries -// included. A supplied building cache whose public call fails later keeps the complete entries and -// statistics of its successful lookups (APPROACH 13, limit 2). A frozen cache's statistics follow -// the public call that reads it (a policy constructor, an evaluator; NOTES R27): its hits are -// counted when the call succeeds, its Python result included, and a failed call changes no -// statistic, except that a call raising DagCacheMiss counts one miss. A direct lookup() is such a -// call: a hit counts one hit, a miss one miss. +// Each statistic is atomic, but reading several fields need not give one consistent snapshot. +// `bytes` counts the entries' stored DAG arrays; `live_values` counts values alive anywhere, +// including in the cache. A building cache keeps completed entries and lookup statistics even +// if the enclosing public call fails. Entries are always complete; keeping them changes no +// later result. This is the exception to public calls' all-or-nothing state guarantee. +// For a frozen cache, hits count only after the whole public call succeeds, including its +// Python result. A failed call counts nothing, except one miss if it raises DagCacheMiss. +// Direct lookup() follows the same rule: one hit on success, one miss on DagCacheMiss. class DagCache { public: struct Stats { diff --git a/include/netgraph/core/detail/cache_access.hpp b/include/netgraph/core/detail/cache_access.hpp index 152e2ad..82687e7 100644 --- a/include/netgraph/core/detail/cache_access.hpp +++ b/include/netgraph/core/detail/cache_access.hpp @@ -1,5 +1,5 @@ /* Internal access to a DagCache: its mode (the evaluators' rule for a supplied cache) and the - frozen statistics of one public call (APPROACH 13; NOTES R27). */ + frozen statistics of one public call. */ #pragma once #include @@ -16,7 +16,7 @@ namespace netgraph::core::detail { class FrozenTally; struct DagCacheAccess { - // Whether the cache is frozen (APPROACH 10: a frozen cache may be shared by every worker). + // Whether the cache is frozen (a frozen cache may be shared by every worker). [[nodiscard]] static bool frozen(const DagCache& cache) noexcept { return cache.frozen_; } // A lookup inside a public call (FrozenTally): a frozen hit is recorded in `tally` instead of // the cache, a frozen miss is counted by the call's boundary (frozen_call); a building cache @@ -32,14 +32,11 @@ struct DagCacheAccess { static void add_miss(DagCache& cache) noexcept { cache.misses_.fetch_add(1, std::memory_order_relaxed); } }; -// The frozen-cache statistics of one public call that reads a supplied cache (NOTES R27). A -// frozen cache's counters are observable state under the all-or-nothing rule (APPROACH 13; only -// a supplied building cache, a memo, keeps the statistics of a failed call: limit 2). So inside -// the call a frozen hit is recorded here, and the call's boundary (frozen_call) publishes the -// hits after the call's last failing step, its Python result included; a failed call drops -// them. A call that raises DagCacheMiss counts that one miss (R20), whatever its workers did. All -// workers of the call record into the one atomic count; every call has its own tally, so the -// increments of concurrent successful calls are all kept. +// Collect one public call's frozen-cache hits here; publish them only after all fallible work, +// including the Python result, succeeds. Failure discards the hits, except that DagCacheMiss +// records one miss regardless of its workers' lookups. A building cache keeps its statistics +// even on failure. Workers share this call's atomic tally; separate calls have separate +// tallies, so concurrent successful calls keep all their increments. class FrozenTally { public: explicit FrozenTally(DagCache* cache) noexcept : cache_(cache) {} diff --git a/include/netgraph/core/detail/edge_amounts.hpp b/include/netgraph/core/detail/edge_amounts.hpp new file mode 100644 index 0000000..98f6f1b --- /dev/null +++ b/include/netgraph/core/detail/edge_amounts.hpp @@ -0,0 +1,34 @@ +/* Per-edge amount arrays (internal): one check and one pair of messages for an array of + units indexed by EdgeId (a search's residual, the ledger's baseline, the flow core's view). + The bindings check unnarrowed Python integers with their own labels before calling in. */ +#pragma once + +#include +#include +#include +#include + +#include "netgraph/core/graph.hpp" +#include "netgraph/core/types.hpp" + +namespace netgraph::core::detail { + +// std::invalid_argument unless `amounts` has one entry per edge of g, each in +// [0, capacity_units]: the length first, then the first entry outside, in EdgeId order. `label` +// names the array in the message ("residual", "view"). +inline void check_edge_amounts(const Graph& g, std::span amounts, const char* label) { + const auto capacity = g.capacity_units(); + if (amounts.size() != capacity.size()) { + throw std::invalid_argument(std::string(label) + " has length " + std::to_string(amounts.size()) + ", expected " + + std::to_string(capacity.size()) + " (one entry per edge)"); + } + for (std::size_t e = 0; e < amounts.size(); ++e) { + if (amounts[e] < 0 || amounts[e] > capacity[e]) { + throw std::invalid_argument(std::string(label) + "[" + std::to_string(e) + "] = " + std::to_string(amounts[e]) + + " is outside [0, capacity_units[" + std::to_string(e) + "] = " + + std::to_string(capacity[e]) + "]"); + } + } +} + +} // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/endpoints.hpp b/include/netgraph/core/detail/endpoints.hpp index 6045146..5a05b14 100644 --- a/include/netgraph/core/detail/endpoints.hpp +++ b/include/netgraph/core/detail/endpoints.hpp @@ -1,4 +1,4 @@ -/* Endpoint and root sets (internal; APPROACH 4, 6 and 9.3; rule 13): one normalisation, one +/* Endpoint and root sets (internal): one normalisation, one overlap check and one message for each defect, shared by the flow core, the searches, the ledger's bottleneck, the policies, the evaluators and the bindings (which check unnarrowed Python integers and report the same texts). */ @@ -45,7 +45,7 @@ inline void check_range(std::span nodes, std::int32_t num_nodes, c return out; } -// std::invalid_argument when the two sorted sets share a vertex (the first shared one; rule 13). +// std::invalid_argument when the two sorted sets share a vertex (the first shared one). inline void check_disjoint(std::span a, std::span b, const char* a_name, const char* b_name) { for (std::size_t i = 0, k = 0; i < a.size() && k < b.size();) { diff --git a/include/netgraph/core/detail/enum_domain.hpp b/include/netgraph/core/detail/enum_domain.hpp index c88b6f0..b1be81b 100644 --- a/include/netgraph/core/detail/enum_domain.hpp +++ b/include/netgraph/core/detail/enum_domain.hpp @@ -1,4 +1,4 @@ -/* Membership of enumeration values (internal; rule 13). An enum-typed field can hold a value +/* Membership of enumeration values (internal). An enum-typed field can hold a value outside its enumeration (a C++ cast, a Python enum built from an integer); such a value is outside the domain and is rejected (std::invalid_argument naming the field) before it reaches any rule or record. */ diff --git a/include/netgraph/core/detail/evaluator_checks.hpp b/include/netgraph/core/detail/evaluator_checks.hpp index b50bfa9..1c50b06 100644 --- a/include/netgraph/core/detail/evaluator_checks.hpp +++ b/include/netgraph/core/detail/evaluator_checks.hpp @@ -1,6 +1,6 @@ /* The evaluators' argument checks, worker default and in-call forms (internal), shared with the - Python binding so that both report the same first error (APPROACH 4 and 11) and publish a frozen - cache's statistics at the same boundary (NOTES R27). */ + Python binding so that both report the same first error and publish a frozen cache's + statistics at the same boundary. */ #pragma once #include @@ -25,8 +25,7 @@ void check_batch_pair(const Graph& g, std::span sources, // The evaluators' default worker count from the environment (NGRAPH_CORE_BATCH_THREADS for // batch_capacity, NGRAPH_CORE_SENSITIVITY_THREADS for sensitivity): an integer in [1, 4096], -// else 1. An explicit workers >= 1 is always honoured; the environment supplies defaults only -// (APPROACH 11). +// else 1. An explicit workers >= 1 is always honoured; the environment supplies defaults only. std::int32_t default_workers(bool sensitivity) noexcept; // The evaluators inside a public call: as capacity, batch_capacity and sensitivity, with a diff --git a/include/netgraph/core/detail/flow_core.hpp b/include/netgraph/core/detail/flow_core.hpp index 07a414f..3a3d962 100644 --- a/include/netgraph/core/detail/flow_core.hpp +++ b/include/netgraph/core/detail/flow_core.hpp @@ -1,7 +1,14 @@ -/* The one integer minimum-cost flow core (internal; APPROACH 2.2): the solve on a graph's - eligible edges behind the recorder's private entry and Global routing, the solve on an edge - subset behind the MaxFlow kernel, and the deletion re-solve behind the exact sensitivity - model. */ +/* Integer minimum-cost flow (internal): Global and the recorder use the eligible graph; + MaxFlow uses an edge subset; exact sensitivity repairs a solved flow after deleting an edge. + A view gives each edge's available capacity. The residual network has forward arcs for + adding flow and reverse arcs for cancelling it. A potential pi is a vertex cost offset: + reduced cost on u -> v is cost + pi(u) - pi(v). Non-negative reduced costs allow + Dijkstra search, which finalises the nearest pending vertex first. A tier is one + such search followed by pushes on paths whose reduced cost is zero. Dinic phases assign hop + levels with breadth-first search (BFS), then fill paths through increasing levels with + depth-first search (DFS). The full residual closure of the real sources is the set they reach + through positive residual arcs, including reverse and virtual arcs. Virtual source/sink + vertices join the real source/destination sets. */ #pragma once #include @@ -15,7 +22,7 @@ #include #include "netgraph/core/detail/int128.hpp" -#include "netgraph/core/detail/private_hooks.hpp" +#include "netgraph/core/detail/hooks_flag.hpp" #include "netgraph/core/graph.hpp" #include "netgraph/core/types.hpp" @@ -28,8 +35,8 @@ inline constexpr Cost kNeverReached = -1; // strictly above every attainable value (below 2^62), so a virtual arc never saturates. inline constexpr Amount kMaxFlowCap = INT64_MAX - 1; -// Operation counters of one call: diagnostics for the performance gate's drift check, identical -// across identical calls, never an oracle. Virtual vertices and arcs count like real ones. +// Repeatable work counters for one call; they detect changes in work, not correctness. +// Virtual vertices and arcs count like real ones. struct FlowCoreCounters { std::int64_t dijkstra_runs {0}; // every run, the final failed one included std::int64_t dijkstra_pops {0}; // heap pops, stale ones included @@ -42,7 +49,10 @@ struct FlowCoreCounters { // The payload of a solve on a graph (the recorder's _place_global_units, Global routing). struct FlowCoreResult { Amount placed {0}; - // The marginal cost curve: (cost, units) with costs strictly increasing and units positive. + // Marginal cost curve: (cost, units) pairs in ascending cost, where delivering `units` more + // units raises the minimum total cost of the flow by `cost` per unit. Delivering more can + // reroute flow already placed, so the pairs are not the costs of the paths in the final + // allocation. Costs strictly increase; units are positive. std::vector> cost_distribution {}; std::vector edge_flows {}; // per edge, id order // Edges with positive view from the full residual closure of the real sources to its @@ -57,7 +67,8 @@ struct FlowCoreResult { // t* = num_nodes + 1. The input is the view's edges in ascending EdgeId (tail, head, cost and // view capacity per edge) and the endpoint sets in ascending NodeId; the arcs are slots in // adjacency order (the slots of x are [off[x], off[x + 1])), each with its head, its cost and -// the slot of its partner, in the arc order of APPROACH 2.2. +// the slot of its partner, in the flow core's arc order (flow_core.cpp, "Arc identity"). Every +// solver's network is within the limits of network_vertices(). struct Network { std::int32_t num_nodes {0}; std::vector edges {}; @@ -76,12 +87,22 @@ struct Network { std::vector dst_fwd {}; // per destination: the forward slot of its virtual arc }; -// The final state of a solve, captured for the deletion re-solve (APPROACH 2.2): bound to the +// The number of vertices of a solve's network, num_nodes + 2 (the real vertices, then s* and +// t*), for num_nodes >= 0. Vertex ids, arc slots and slot offsets are int32, so the vertices need +// num_nodes <= INT32_MAX - 2, and the two slots (forward and reverse) of every edge and of every +// virtual arc, one per source and one per destination, need +// num_edges + num_sources + num_destinations <= 2^30 - 1 (twice that, 2^31 - 2, is the largest +// even int32). Throws std::invalid_argument for a larger network, the node limit first. Every +// solver takes its vertex count from here before it sizes or allocates anything of its own. +[[nodiscard]] std::int32_t network_vertices(std::int32_t num_nodes, std::size_t num_edges, + std::size_t num_sources, std::size_t num_destinations); + +// The final state of a solve, captured for the deletion re-solve: bound to the // solve's graph (whose owner it holds), effective view and endpoint sets (copied into its // network, shared immutable between copies); the residual capacities, the attained value, the // working potentials of all N + 2 vertices, the maximum certificate and the solve's counters. // A copyable value: copies share the network only. Every field belongs to the one solve, so an -// assignment is all or nothing (APPROACH 13): the copy is built aside, then exchanged by moves, +// assignment is all or nothing: the copy is built aside, then exchanged by moves, // which never throw; a failed copy assignment leaves the target as it was. class DeletionState { public: @@ -142,7 +163,7 @@ struct DeletionCapture { static_assert(std::is_nothrow_move_constructible_v && std::is_nothrow_move_assignable_v); -// The result of one deletion re-solve: the repaired value and its certificates (APPROACH 2.2). +// The result of one deletion re-solve: the repaired value and its certificates. struct DeletionResult { Amount value {0}; // The working potentials of all real and virtual vertices (local coordinates, s* = N and @@ -178,7 +199,8 @@ class FlowSolver; // The deletion re-solve on one worker's copy of a captured state: each call resets the // residuals and potentials from that copy, deletes a real arc e = (u, v) with flow f_e > 0 and // repairs the state by three fixed-origin repairs (u -> v for f_e; u -> s*, then t* -> v, for -// the remainder). The working storage is the resolver's own, allocated at construction. +// the remainder). The network is read in place, shared with every copy of the state (the copy +// keeps it alive); the working storage is the resolver's own, allocated at construction. class DeletionResolver { public: explicit DeletionResolver(const DeletionState& state); @@ -209,7 +231,10 @@ class DeletionResolver { // order, for a view of the wrong length or with an entry outside [0, capacity_units[e]], an // empty or out-of-range endpoint set, a vertex in both sets, a cap outside [0, 2^63 - 2], or a // foreign Eligibility. Excluded endpoints are skipped. With `capture`, the final state is -// stored there as well. +// stored there as well. A solve (a cap other than 0, or a capture) then throws +// std::invalid_argument, before the solver sizes anything, for a network beyond the limits of +// network_vertices(): the graph's nodes, the eligible edges, the eligible sources and +// destinations. [[nodiscard]] FlowCoreResult place_global_units(const Graph& g, std::span view, std::span sources, std::span destinations, const Eligibility* elig, @@ -229,7 +254,9 @@ struct SubsetFlow { // place_global_units (ascending EdgeId at every node, the virtual arc first, virtual arcs by // ascending endpoint NodeId), from zero flow; the vertices are compressed to the ones the edges // and endpoints touch, which changes no flow, curve or augmenting path. The endpoint sets are -// ascending, distinct and disjoint; the caller validated every input. +// ascending, distinct and disjoint; the caller validated every input. A solve (a cap other than +// 0) throws std::invalid_argument, before the solver sizes anything, for a network beyond the +// limits of network_vertices(): the touched vertices, the edges and the endpoints. [[nodiscard]] SubsetFlow solve_subset(const Graph& g, std::span edges, std::span caps, std::span sources, std::span destinations, std::optional cap); diff --git a/include/netgraph/core/detail/graph_access.hpp b/include/netgraph/core/detail/graph_access.hpp index 3ad4913..5e90b2d 100644 --- a/include/netgraph/core/detail/graph_access.hpp +++ b/include/netgraph/core/detail/graph_access.hpp @@ -1,10 +1,8 @@ -/* The graph's internal entry points (internal, APPROACH 3). - - The internal reverse-source copy (APPROACH 3: "the stored copy is internal, for locality") is - read by the reverse search through this struct; the tests read it, and the retained array - bytes, the same way. Header-only and inline: nothing here is a library symbol, and no Python - name exists for it. The construction counters exist in hooks builds only (the C++ tests' - branch observations); the hooks-off symbol check lists their names. */ +/* Internal graph access for reverse searches and tests. The stored reverse-source array + avoids fetching each source through a second array; tests also read retained array bytes. + Everything is inline, with no Python name. Construction counters exist only in private-hooks + builds (their accessor, the one library symbol, is defined in graph.cpp) and let C++ tests + observe which construction branches ran. */ #pragma once #include @@ -12,6 +10,7 @@ #include #include +#include "netgraph/core/detail/hooks_flag.hpp" #include "netgraph/core/graph.hpp" namespace netgraph::core::detail { @@ -61,7 +60,8 @@ struct GraphAccess { }; #if NETGRAPH_CORE_PRIVATE_HOOKS -// Test evidence (C++ tests, hooks builds only): what the last construction on this thread did. +// Test evidence (C++ tests, hooks builds only): this thread's construction counts so far, and +// what its last construction did (the last_* fields). struct ConstructionCounts { std::int64_t hashed {0}; // constructions whose ranks came from the hash table std::int64_t fallback {0}; // constructions whose ranks came from the sort of all costs diff --git a/include/netgraph/core/detail/hooks_flag.hpp b/include/netgraph/core/detail/hooks_flag.hpp new file mode 100644 index 0000000..785865e --- /dev/null +++ b/include/netgraph/core/detail/hooks_flag.hpp @@ -0,0 +1,11 @@ +/* The build flag of the private hooks (internal): NETGRAPH_CORE_PRIVATE_HOOKS, 1 when the test + controls of private_hooks.hpp are compiled in. CMake defines it for the library and, through + the library target, for the extension and the tests (ON for the editable development build + and the test suites, OFF for an installed wheel); a native caller compiling without that + definition gets OFF. Code that only asks whether the hooks exist includes this header, not the + hook declarations, which reach the policy and the trace. */ +#pragma once + +#ifndef NETGRAPH_CORE_PRIVATE_HOOKS +#define NETGRAPH_CORE_PRIVATE_HOOKS 0 +#endif diff --git a/include/netgraph/core/detail/int128.hpp b/include/netgraph/core/detail/int128.hpp index d001c60..66fb99f 100644 --- a/include/netgraph/core/detail/int128.hpp +++ b/include/netgraph/core/detail/int128.hpp @@ -1,16 +1,17 @@ -/* Portable 128-bit values (internal). - - U128, unsigned, for exact rational arithmetic: the highest-averages apportionment (quotients - w / d compared by cross products, lower quotas floor(I * w / W)), the Headroom priority - (residual / capacity compared by cross products), the comparisons with a double factor read - as the exact dyadic rational it is (the Stretch ceiling, the diminishing guard) and the - cumulative counters (Counter128). Every product operand is below 2^63, so every product is - below 2^126 and every quotient that is formed fits 64 bits. Compilers with __int128 use it; - others use 32-bit limbs. - - I128, signed, for the deletion re-solve of the flow core (APPROACH 2.2): working potentials, - distance keys and sums of tier maxima, which stay within (22 n + 15) C for n vertices and the - cost sum C < 2^62. Only addition, subtraction and comparison, on two limbs everywhere. +/* Portable 128-bit arithmetic (internal). + + U128 holds unsigned values for exact allocation shares, priorities and factor comparisons + (Counter128 keeps its own two words). Compare fractions a/b and c/d by comparing a*d and + c*b; compute a lower quota as floor(I*w/W), where I is the total, w one weight and W the sum + of weights. + A double factor is used exactly as stored: an integer divided by a power of two. + Product operands stay below 2^63, products below 2^126, and quotients fit 64 bits. + Use __int128 when available; otherwise split products into 32-bit parts (limbs). + + I128 holds signed costs for deletion repairs: vertex cost offsets (potentials), distance + keys and sums of each shortest-path search's largest distance (tier maxima). These stay + within (22 n + 15) C for n vertices and cost sum C < 2^62. Only addition, subtraction and + comparison are needed, always using two 64-bit parts. */ #pragma once @@ -59,8 +60,8 @@ inline U128 mul_u64(std::uint64_t a, std::uint64_t b) noexcept { return r; } -// floor(n / d) for d > 0 and a quotient below 2^64 (n.hi < d): restoring division, one -// quotient bit per step. +// floor(n / d), with d > 0 and quotient < 2^64 (n.hi < d). Build one quotient bit per step: +// shift in the next dividend bit, then subtract d if the current remainder is large enough. inline std::uint64_t div_u128(U128 n, std::uint64_t d) noexcept { std::uint64_t rem = n.hi; std::uint64_t q = 0; @@ -133,7 +134,7 @@ inline Dyadic dyadic(double f) noexcept { return d; } -// cost <= f * base, exactly (the Stretch ceiling of APPROACH 6 and 9.1): f is the dyadic rational +// cost <= f * base, exactly (the Stretch cost ceiling): f is the dyadic rational // it is (finite, f >= 1), cost >= 0 and base >= 1 below 2^63. f = m * 2^x with m odd below 2^53; // bit lengths are compared before any shift, so no product exceeds 128 bits. inline bool stretch_le(std::int64_t cost, std::int64_t base, double f) noexcept { diff --git a/include/netgraph/core/detail/kernels.hpp b/include/netgraph/core/detail/kernels.hpp index 9f4d97a..0d15d61 100644 --- a/include/netgraph/core/detail/kernels.hpp +++ b/include/netgraph/core/detail/kernels.hpp @@ -1,10 +1,11 @@ -/* Apportionment and the placement kernels in units (internal; APPROACH 2.1, 7 and 16). - - A kernel computes the pushes of one flow on its route. The plan of a flow is frozen at its - creation: the route, its split graph (the route's edges that pass the kernel's membership - rule, pruned to the walks from the source to the destination set, destinations terminal) - and, for Weighted, the weights. These are the per-flow routines of the placement transaction - (APPROACH 9.2 stage 3); the policy engine composes them and the ledger commits their output. +/* Placement kernels assign one flow's amounts to route edges. Apportionment splits an integer + total among recipients. + + A plan freezes the route, its split graph and any Weighted weights at creation. The split + graph keeps edges allowed by the kernel that lie on a source-to-destination walk; it removes + edges leaving destinations. Its edges are the plan's members. A member-aligned array has one + entry per member, in the same order as plan.members. Policies combine these allocations; the + ledger commits them. */ #pragma once @@ -24,16 +25,16 @@ namespace netgraph::core::detail { -// ---------------------------------------------------------------- apportionment (2.1) +// ---------------------------------------------------------------- apportionment -// Round robin (EqualBalanced and Lossy EqualBalanced at every node; the cohort's split over its -// flows and a source's offer over its flows): floor(total / k) to each of the k members, one -// more unit to the first total mod k members (ascending EdgeId). Only the n leading members with -// a positive share (n = total when total < k, else k) are visited: the members from n on carry -// 0, which a caller with a zeroed output need not write or visit. The callback form computes the -// split once and calls share(i, x) for i in [0, n), in index order; share returns false to stop -// early. It returns the number of shares accepted: n, or the index i whose call returned false. -// The span form writes out[0 .. n) of the k = out.size() members and returns n. +// Round robin: give floor(total / k) to each of k recipients, plus one to the first +// total mod k in caller order. Edge shares use ascending EdgeId; shares among a source's +// flows use flow order. Used by EqualBalanced (Lossless and Lossy) at every node and to split a +// source's amount over its flows. +// Visit only the n positive shares (n = min(total, k)); later entries stay 0 in a zeroed output. +// The callback form computes the split once and calls share(i, x) in index order for i in +// [0, n). Stop if it returns false; return the accepted count: n, or that rejected index i. +// The span form writes out[0 .. n), where k = out.size(), and returns n. template inline std::size_t round_robin(Amount total, std::size_t k, Share&& share) { const auto kk = static_cast(k); @@ -53,18 +54,23 @@ inline std::size_t round_robin(Amount total, std::span out) noexcept { }); } -// Highest averages (Jefferson, D'Hondt; Weighted and Lossy Weighted): the units go one at a -// time to the member maximising w / (a + 1), ties by the lower member index (ascending -// EdgeId). Closed form: every member starts at its lower quota floor(total * w / W), then the -// fewer than k remaining units go by the exact next quotients, compared by 128-bit cross -// products. Weights positive with a sum below 2^62; total below 2^63. House-monotone. +// Highest averages (Jefferson/D'Hondt; Weighted and Lossy Weighted): give each next unit to +// the member with largest w / (a + 1), where w is its weight and a its allocation so far. +// Break ties by lower member index (ascending EdgeId). Start each member at its lower quota +// floor(total * w / W), where W is the weight sum; then assign the fewer than k remaining units +// by those quotients, comparing with exact 128-bit cross products. Weights are positive, +// W < 2^62, total < 2^63. Increasing total never reduces any member's allocation (house +// monotonicity). void highest_averages(Amount total, std::span weights, std::span out); // ---------------------------------------------------------------- plans -// Throws std::invalid_argument for a value outside its enumeration and for the combinations the -// contract rejects (Lossy with MaxFlow, Weighted with priority Headroom). +// Throws std::invalid_argument for a value outside its enumeration and for the unsupported +// combinations (Lossy with MaxFlow, Weighted with priority Headroom). void check_kernel(FlowPlacement placement, Admission admission, EdgePriority priority); +// The combination rule of check_kernel alone, for a caller that has already checked the three +// enumerations (validate_config). +void check_kernel_combination(FlowPlacement placement, Admission admission, EdgePriority priority); struct KernelPlan { FlowPlacement placement {FlowPlacement::MaxFlow}; @@ -73,11 +79,11 @@ struct KernelPlan { std::vector route {}; // ascending: the flow's route (its record's bundle) std::vector members {}; // ascending: the split graph std::vector weights {}; // Weighted: per member (positive), frozen; else empty - // The destinations (ascending) and the split graph's nodes in a topological order (the source - // first), with per position its out-members members[out_begin[p] .. out_end[p]) (consecutive in - // ascending EdgeId: B' ids rank edges by source first) and per member the position of its head; - // the structure is empty when the split graph is empty. Views of one block the plan owns - // (layout()), so a plan costs one allocation for all of them. + // Destinations ascend. Nodes have a topological order: every edge's tail precedes its head, + // with the source first. Position p's out-members are members[out_begin[p] .. out_end[p]); + // they are consecutive in ascending EdgeId because EdgeIds sort by source first. Each member + // also stores its head's position. Empty split graph means empty structure. All views share + // one block owned by the plan (layout()), so the structure takes one allocation. std::span dsts {}; std::span topo {}; std::span out_begin {}; @@ -118,8 +124,8 @@ struct KernelPlan { [[nodiscard]] std::vector prune(const Graph& g, const PredDAG& dag, NodeId src, std::span dsts); -// The minimum walk cost from `src` to the destination set over `route` (a record's bundle; -// APPROACH 8, rule 12); kUnreachable when the route has no such walk. The split-graph builder's +// The minimum walk cost from `src` to the destination set over `route` (a record's bundle: +// its route cost); kUnreachable when the route has no such walk. The split-graph builder's // cost pass alone: no plan is built. [[nodiscard]] Cost route_cost(const Graph& g, const PredDAG& route, NodeId src, std::span dsts); @@ -149,11 +155,11 @@ struct KernelPlan { EdgePriority priority, NodeId src, std::span dsts, const PredDAG& bundle, const Eligibility* elig, Cost* cost = nullptr); -// ---------------------------------------------------------------- CostOnly creation (9.1, 10) +// ---------------------------------------------------------------- CostOnly creation // std::lower_bound(a, x) on an ascending `a`, found from position `hint` (the creation walk's -// previous range): a galloping probe toward x (1, 2, 4, ... away from the hint), then a binary -// search inside the last step. The answer is std::lower_bound's whatever the hint (the first +// previous range): a galloping probe toward x (steps of 1, 2, 4, ... between probes), then a +// binary search inside the last step. The answer is std::lower_bound's whatever the hint (the first // position holding a value >= x, a.size() when none); only the probes differ. [[nodiscard]] std::size_t lower_bound_from(std::span a, std::size_t hint, EdgeId x) noexcept; @@ -164,24 +170,23 @@ struct CreationProducts { Cost cost {kUnreachable}; }; -// The products of a CostOnly flow of `src` created on its policy's static support (`support`: a -// reverse multipath support rooted at the destination set `dsts`) in one pass over its route: -// support_route's route for `selection` (Collapse on `view`), its record bundle (`support` itself -// when the route is the whole support, else PredDAGBuilder::of_edges of the route), and make_plan's -// plan and cost on that bundle, identical to those functions' for every input it accepts. It -// accepts a multipath selection with a kernel of static membership (every kernel but Weighted with -// Residual priority) and checks, while it builds, that the plan's members are the whole route: -// every route edge a member candidate, none leaving a destination, every route node reaching a -// destination, the source first in the topological order, no cycle, the members of a tail -// consecutive. Otherwise, and when src reaches no destination, it returns nullopt, and the caller -// takes those functions' path. Nothing proportional to the graph's size is allocated per call. +// Build a CostOnly flow's route, record bundle, plan and cost in one pass. `support` contains +// all static shortest paths to sorted destinations `dsts`; start at `src` and apply selection +// on `view`. The result matches support_route, bundle construction and make_plan: reuse +// `support` if it is the whole route, otherwise build its bundle with PredDAGBuilder::of_edges. +// Requires multipath and static membership (all kernels except Weighted with Residual). +// While building, check: every route edge can be a member; none leaves a destination; every +// route node reaches a destination; the source is first in topological order; no cycle exists; +// and each tail's members are consecutive. These checks ensure members == route. +// Return nullopt on a failed condition or if src reaches no destination; the caller then uses +// the separate routines. No per-call allocation is proportional to the whole graph's size. [[nodiscard]] std::optional cost_only_creation(const Graph& g, const std::shared_ptr& support, NodeId src, std::span dsts, const PathSelection& selection, PriorityFn view, FlowPlacement placement, Admission admission); -// ---------------------------------------------------------------- allocation (16.2, 16.3) +// ---------------------------------------------------------------- allocation // The cumulative allocation alloc(T) of a Weighted or EqualBalanced plan, member-aligned: // node by node in topological order, the source's inflow T, every other node's inflow the sum @@ -189,21 +194,21 @@ struct CreationProducts { // (member-aligned) it stops at the first member above its limit and returns false. bool allocate(const KernelPlan& plan, Amount total, std::span out, std::span limit = {}); -// The largest T whose allocation fits `view_m` (member-aligned) member by member, by search on -// alloc(T) (exact: alloc is non-decreasing member by member, so fits(T) is monotone); upper -// bound the source members' view. APPROACH 7 (revision 26): approximate arithmetic only -// chooses probes. The first probe is at a floating-point estimate, then a galloping bracket, -// then bisection; every predicate, both bracket ends, the value and the allocation are exact, -// and `iterations` counts the probes, which stay within 62 (the bound of a plain bisection over -// units below 2^62; checked, std::logic_error otherwise). A first evaluation at the upper bound -// (or a Lossless step's target) is another allocation evaluation, not a search probe. +// Find the largest T whose allocation fits each entry of member-aligned view_m. The upper +// bound is the sum of the view on source members. Each member's allocation never decreases as +// T grows, so a fitting and a failing T bound the answer. A floating-point estimate chooses +// the first probe only; then double the step size to narrow the bounds and bisect them. +// All fit checks, bounds, the returned value and allocation are exact. `iterations` counts +// at most 62 search probes (enough to bisect the units domain below 2^62); throw std::logic_error +// if that bound is exceeded. Evaluating the upper bound first, or a Lossless step's target, +// is an allocation evaluation and is not counted as a search probe. struct TMax { Amount value {0}; std::int32_t iterations {0}; }; [[nodiscard]] TMax t_max(const KernelPlan& plan, std::span view_m); -// One Lossless step of one flow (APPROACH 9.2 stage 3, 16.3): T_new = max(T, min(T + request, +// One Lossless step of one flow (the amounts stage): T_new = max(T, min(T + request, // T_max(V))) on the replacement view V = W + own (member-aligned `view_m`), with `own_m` the // flow's committed allocation alloc(T) (member-aligned). MaxFlow solves the flow core on the // split graph with cap T + request (uncapped for +inf) and reports the solve's marginal curve; diff --git a/include/netgraph/core/detail/ledger_access.hpp b/include/netgraph/core/detail/ledger_access.hpp index 9496627..aa91acf 100644 --- a/include/netgraph/core/detail/ledger_access.hpp +++ b/include/netgraph/core/detail/ledger_access.hpp @@ -1,9 +1,10 @@ /* The ledger's internal entry points: what a policy uses to place on and remove from it. - APPROACH 8: the ledger is mutated only through policies. A policy binds (an owner id), then - every call ends with one atomic exchange of all of its records (`commit`); remove() reverts - its allocations and retires its ids (`detach`); a policy destroyed without remove() leaves - its records as orphans (`release`). None of this is public API. + Policies place and remove flows through these entry points; an unbound ledger can also be + reset, through its public reset(), which is not one of them. A policy binds (an owner id), + then every call ends with one atomic exchange of all of its records (`commit`); remove() + reverts its allocations and retires its ids (`detach`); a policy destroyed without remove() + leaves its records as orphans (`release`). None of this is public API. */ #pragma once diff --git a/include/netgraph/core/detail/node_map.hpp b/include/netgraph/core/detail/node_map.hpp index 6af17a5..55afbd3 100644 --- a/include/netgraph/core/detail/node_map.hpp +++ b/include/netgraph/core/detail/node_map.hpp @@ -20,12 +20,8 @@ namespace netgraph::core::detail { // use. One instance per thread (`local()`); not reentrant: a caller holding it must not call // another routine that uses it. // -// reset() sizes both arrays for the graph, so add() never allocates: it is a few instructions, -// noexcept and inlined into the callers' per-edge loops. An out-of-line add() (it grew its list -// with push_back) saved and restored callee-saved registers on every call, and in some process -// layouts those stack reloads stalled: the flow core's subset solve then ran about 1.45 times -// slower for a whole process (the bimodal `kernel.proportional.grid` blocks; NOTES -// "Bimodality"). +// reset() sizes both arrays for the graph, so add() never allocates and is noexcept. +// Keep add() inline: it runs in the callers' per-edge loops, where call overhead matters. class NodeMap { public: void reset(std::size_t num_nodes) { diff --git a/include/netgraph/core/detail/policy_engine.hpp b/include/netgraph/core/detail/policy_engine.hpp index d9bab86..fbe135c 100644 --- a/include/netgraph/core/detail/policy_engine.hpp +++ b/include/netgraph/core/detail/policy_engine.hpp @@ -1,4 +1,4 @@ -/* The state of a FlowPolicy (internal; APPROACH 8 and 9). The transaction lives in +/* The state of a FlowPolicy (internal). The transaction lives in src/flow_policy.cpp; the evaluators, the private bindings and the tests read this state through PolicyAccess. */ #pragma once @@ -52,28 +52,29 @@ struct PolicyEngine { std::vector destinations {}; std::vector dests_ok {}; // the allowed destinations (the records' destination set) std::vector roster {}; // fixed at construction, ascending - std::vector baseline {}; // CapacityAware: the static shortest cost per roster source + std::vector baseline {}; // CapacityAware with a Stretch ceiling only: the static shortest + // cost per roster source (empty otherwise) std::shared_ptr support {}; // CostOnly: the full static support std::vector bundles {}; // Pinned std::vector usable {}; // Pinned: indices of usable bundles std::int64_t owner {0}; - // Epoch state. + // State accumulated since construction or the last remove() (the policy epoch). std::vector> cohorts {}; // per roster index, in FlowId order - std::vector> curve {}; // Global: the cumulative marginal curve (9.1) + std::vector> curve {}; // Global: the cumulative marginal curve Counter128 requested {}; bool infinite {false}; // Global: a capture request for the next solve's final state (the exact sensitivity model's - // baseline, APPROACH 11); set and cleared by the evaluator. + // baseline); set and cleared by the evaluator. DeletionCapture* capture {nullptr}; }; // The internal access to a policy's engine (the pattern of LedgerAccess): FlowPolicy's public -// interface is the contract's; everything else reaches the state here. +// interface is the documented API; everything else reaches the state here. struct PolicyAccess { [[nodiscard]] static const PolicyEngine& engine(const FlowPolicy& policy) noexcept { return *policy.engine_; } [[nodiscard]] static PolicyEngine& engine(FlowPolicy& policy) noexcept { return *policy.engine_; } // A policy constructed inside another public call, whose tally records a supplied frozen - // cache's hits (NOTES R27); returned as a prvalue (FlowPolicy does not move). + // cache's hits; returned as a prvalue (FlowPolicy does not move). [[nodiscard]] static FlowPolicy make(FlowLedger& ledger, std::span sources, std::span destinations, FlowPolicyConfig config, const Eligibility* elig, DagCache* cache, FrozenTally& tally) { @@ -81,7 +82,7 @@ struct PolicyAccess { } }; -// The configuration checks of FlowPolicy (APPROACH 9; enumeration values first, rule 13), +// The configuration checks of FlowPolicy (enumeration values first, then the combinations), // shared with the evaluators' argument checks. void validate_config(const FlowPolicyConfig& cfg, std::size_t num_sources, std::size_t num_destinations); diff --git a/include/netgraph/core/detail/pred_dag_builder.hpp b/include/netgraph/core/detail/pred_dag_builder.hpp index 1e3dc35..0bc674b 100644 --- a/include/netgraph/core/detail/pred_dag_builder.hpp +++ b/include/netgraph/core/detail/pred_dag_builder.hpp @@ -12,12 +12,11 @@ namespace netgraph::core::detail { struct PredDAGBuilder { - // The DAG of an edge set known to be acyclic and duplicate-free: per node its predecessor - // entries (edge_src, e) in ascending EdgeId. Not validated beyond what the callers guarantee. - // A small set (8 |edges| < N) is grouped by sorting, O(|edges| log |edges|), with nothing - // proportional to the graph's size; a larger one by a stable counting sort over a temporary - // N + 1 array, O(|edges| + N) (a sort first when the input is not ascending). Nothing retained - // is proportional to the graph's size. + // Build a DAG from acyclic, duplicate-free edges; callers guarantee these preconditions. + // Group predecessor entries (edge_src, e) by node, with ascending EdgeId within each node. + // For graph node count N and 8 |edges| < N, sort in O(|edges| log |edges|) without graph-sized + // scratch. Otherwise use stable counting sort with an N + 1 temporary in O(|edges| + N), + // sorting first if edges are not ascending. Retained storage never scales with graph size. [[nodiscard]] static PredDAG of_edges(const Graph& g, std::span edges); // The DAG without entries. [[nodiscard]] static PredDAG empty(const Graph& g); diff --git a/include/netgraph/core/detail/private_hooks.hpp b/include/netgraph/core/detail/private_hooks.hpp index 6f09fb4..3c9c393 100644 --- a/include/netgraph/core/detail/private_hooks.hpp +++ b/include/netgraph/core/detail/private_hooks.hpp @@ -1,15 +1,13 @@ /* The private hooks of the development build (internal). CMake option NETGRAPH_CORE_PRIVATE_HOOKS: ON for the editable development build and the test suites, OFF for an installed wheel. The - hooks are test controls and prototype-parity diagnostics that the contract does not name: - a lowered creation cap, an injected sensitivity model failure and the transaction trace. - Without the option none of them exists: the engine reads the constant kMaxFlowsPerCall, - sensitivity has no injection branch, and every trace block is a compile-time-dead branch - (kTraced), so no trace code is emitted. */ + hooks declared here are test controls and diagnostics the tests compare with their + independent model of the policy; none of them is public API: + a lowered creation cap and the transaction trace. + Without the option neither is built: the engine reads the constant kMaxFlowsPerCall, and every + trace write is a compile-time-dead branch (kTraced), so only empty trace values are built. */ #pragma once -#ifndef NETGRAPH_CORE_PRIVATE_HOOKS -#define NETGRAPH_CORE_PRIVATE_HOOKS 0 -#endif +#include "netgraph/core/detail/hooks_flag.hpp" namespace netgraph::core::detail { @@ -34,12 +32,8 @@ namespace netgraph::core::detail { // lowers it to reach the cap on small graphs). std::atomic& max_flows_per_call() noexcept; -// The sensitivity candidate whose deletion raises a model exception (-1: none). No valid -// configuration raises under an edge deletion (every construction check is -// deletion-independent), so this is how the tests reach `unevaluable` (APPROACH 11). -std::atomic& sensitivity_fail_edge() noexcept; - -// FlowPolicy::place with the transaction's trace (prototype 2's keys). `staged`, when given, runs +// FlowPolicy::place with the transaction's trace (a Trace: the call's intermediate values, +// keyed as the tests' model of the policy keys them). `staged`, when given, runs // once the result and the trace are final and before anything is published (the commit, the // epoch state): an exception from it aborts the call with nothing changed (the binding builds // its Python objects there). diff --git a/include/netgraph/core/detail/trace.hpp b/include/netgraph/core/detail/trace.hpp index ecf3d64..a35ddad 100644 --- a/include/netgraph/core/detail/trace.hpp +++ b/include/netgraph/core/detail/trace.hpp @@ -1,6 +1,10 @@ -/* The transaction trace of a placement call (internal diagnostics for the tests and the - prototype parity check): a small JSON-like value whose keys follow prototype 2's trace. Built - only in a build with the private hooks, when a call asks for it (detail::place_traced). */ +/* The transaction trace of a placement call (internal diagnostics for the tests, which compare + it key by key with the same trace of their independent model of the policy): a small + JSON-like value of the call's intermediate values, per source the offer, the rows of the + stages (creation, reoptimisation, filling, growth) and the local outcome, then the flows + created and the final working residual; for Global the solve's input, result and counters. + Filled only in a build with the private hooks, when a call asks for it (detail::place_traced); + other calls build only empty values. */ #pragma once #include diff --git a/include/netgraph/core/detail/traversal.hpp b/include/netgraph/core/detail/traversal.hpp index 4ad0be6..b9efd4b 100644 --- a/include/netgraph/core/detail/traversal.hpp +++ b/include/netgraph/core/detail/traversal.hpp @@ -1,21 +1,24 @@ -/* The one traversal core of every search (internal; APPROACH 6 and 14): public spf, the - policies' route searches, the DagCache's supports and KSP's spur searches. - - One Dijkstra loop, parametrised by the direction (Forward scans a node's out-edge id range, - Reverse its in-edge slots) and the queue (a binary heap, or monotone cyclic buckets when the - graph's costs fit 65,536 buckets), both popping in (distance, node) order. Positive costs make - the set of tight edges d(u) + cost(e) = d(v) of a fixed member graph unique (2.4), whatever the - pop order among equal distances; the loop records them in per-node lists while it runs. An edge - is a candidate when it passes static eligibility, capacity >= 1 unit and the residual gate; - Collapse (multi_edge = false) keeps one member per (u, v) pair by select_adjacency when the - tight edges are emitted (it never changes a distance). With targets the loop stops at the first - target popped: every node nearer than that distance d* is settled by then, so every target at - d* has its final distance, and the walks back from the targets at d* are the anycast-pruned DAG. - The canonical single path is extracted from that DAG in stages (section 6) with the search's - own distances as the topological order: no second traversal. - - Every call leases the thread's workspace (node arrays reset through touched lists); the lease - restores it on every exit, exceptions included, and overlapping leases are refused. +/* Shared traversal for spf, policy routes, cached shortest-path supports and KSP alternatives. + A support contains every edge on the eligible shortest paths. A KSP spur search finds an + alternative suffix from a node on an earlier path. + + Dijkstra finalises the nearest pending node, scanning out-edges for Forward and in-edges + for Reverse. Both heap and cyclic distance-bucket queues pop in (distance, node) order; + buckets are used when the graph's costs fit 65,536 buckets. A candidate must pass static + eligibility, have capacity >= 1 unit, and pass any residual-capacity threshold. + A tight edge extends a shortest path exactly: d(u) + cost(e) = d(v) in traversal direction. + Positive costs make these edges unique for a fixed member graph regardless of equal-distance + pop order. Record them in per-node lists; on output, multi_edge = false (Collapse) selects + one member per (u, v) by select_adjacency, without changing distances. + With targets, stop when the first target at distance d* is popped. Every nearer node is + already final, so positive costs ensure every target at d* has its final distance too. + Keep only tight edges on walks to these nearest targets (anycast pruning). + Extract the single path from that DAG by bottleneck under PreferHigherPriority (largest + minimum edge priority), then fewest hops, then smallest EdgeId sequence. Increasing search + distance orders every predecessor before its child, so no second traversal is needed. + Each call exclusively borrows the thread's workspace (a lease). Reset it on every exit, + including exceptions: the touched nodes only, or the whole arrays when a quarter or more of + the nodes were touched; refuse overlapping leases. */ #pragma once @@ -24,6 +27,7 @@ #include #include +#include "netgraph/core/detail/hooks_flag.hpp" #include "netgraph/core/graph.hpp" #include "netgraph/core/options.hpp" #include "netgraph/core/pred_dag.hpp" @@ -46,7 +50,7 @@ struct Priority { [[nodiscard]] Priority priority_value(EdgePriority priority, Amount residual, Amount capacity) noexcept; // The per-edge priority values a search reads: `residual` empty (no residual) reads the static -// capacity for every priority (APPROACH 10); else priority_value on the residual. +// capacity for every priority; else priority_value on the residual. struct PriorityValues { const Graph* g {nullptr}; EdgePriority priority {EdgePriority::Capacity}; @@ -63,7 +67,7 @@ struct PriorityFn { [[nodiscard]] static PriorityFn of(const PriorityValues& values) noexcept; }; -// select_adjacency (APPROACH 6): whether member `e` replaces `cur`, the choice so far among the +// select_adjacency: whether member `e` replaces `cur`, the choice so far among the // eligible members of one (u, v) pair seen in ascending EdgeId (cur < e): the lower cost, then // under PreferHigherPriority (`prefer`) the higher priority value; on a tie the lower EdgeId // (cur) stays. `value(e)` reads the priority value of an edge on the view of the selection. @@ -103,13 +107,13 @@ struct SearchRoute { Cost cost {kUnreachable}; }; -// CapacityAware's search (APPROACH 9.1): forward from `src` toward the destination set (allowed +// CapacityAware's search: forward from `src` toward the destination set (allowed // ones; disjoint from src) over the candidates of `gate`, Collapse and the staged single path by // `selection` with the priority values on `gate.residual`; nullopt when no destination is reached. [[nodiscard]] std::optional route_search(const Graph& g, const Gate& gate, const PathSelection& selection, NodeId src, std::span dests); -// CostOnly's projection of a cached full static support (APPROACH 9.1, 10): the support edges +// CostOnly's projection of a cached full static support: the support edges // reachable from `src` (ascending `support`: a reverse multipath DAG rooted at the destination // set), Collapse by `selection` on the priority values `view` (no residual gating), and for // multipath = false the staged canonical single path on that part, its distances derived from the @@ -117,27 +121,29 @@ struct SearchRoute { [[nodiscard]] SearchRoute support_route(const Graph& g, std::span support, NodeId src, std::span dests, const PathSelection& selection, PriorityFn view); -// The full static support of a search from (Forward) or toward (Reverse) the root set (every root -// in range; excluded roots skipped): every tight edge of the statically eligible member graph -// (multipath, multi_edge, no residual) over the nodes it reaches, forward-oriented (the DagCache's -// value, and a CostOnly policy's DAG when it has no cache). +// The full static support of a search from (Forward) or toward (Reverse) the root set (a +// normalised set: nonempty, in range, ascending, no duplicates; excluded roots skipped): every +// tight edge of the statically eligible member graph (multipath, multi_edge, no residual) over the +// nodes it reaches, forward-oriented (the DagCache's value, and a CostOnly policy's DAG when it has +// no cache). The empty DAG when no root is allowed. [[nodiscard]] PredDAG static_support(const Graph& g, std::span roots, Direction direction, const Eligibility* elig); -// The static cost from each of `sources` to the nearest of `dests` (allowed ones) over the -// statically eligible edges of at least 1 unit, kUnreachable where there is no walk (the +// The static cost from each of `sources` to the nearest of `dests` (in range, ascending, no +// duplicates, possibly empty; allowed ones) over the statically eligible edges of at least 1 unit, +// kUnreachable where there is no walk, and everywhere when no destination is allowed (the // CapacityAware and Global rosters and the Stretch baselines). [[nodiscard]] std::vector static_costs(const Graph& g, const Eligibility* elig, std::span dests, std::span sources); -// The rule-13 check of a cost ceiling (APPROACH 6; KSP and CapacityAware): Absolute's cost >= 0, +// The validation of a cost ceiling (KSP and CapacityAware): Absolute's cost >= 0, // Stretch's factor finite and in [1, inf); std::invalid_argument naming max_path_cost. void check_ceiling(const std::optional& ceiling); #if NETGRAPH_CORE_PRIVATE_HOOKS -// Test evidence (C++ tests, hooks builds only): the queue of every search this thread ran. +// Test evidence (C++ tests, hooks builds only): how many of this thread's searches ran on the +// bucket queue; a search that leaves the count unchanged ran on the heap. struct QueueCounts { - std::int64_t heap {0}; std::int64_t buckets {0}; }; QueueCounts& thread_queue_counts() noexcept; diff --git a/include/netgraph/core/eligibility.hpp b/include/netgraph/core/eligibility.hpp index c9ca76a..b3ae8a1 100644 --- a/include/netgraph/core/eligibility.hpp +++ b/include/netgraph/core/eligibility.hpp @@ -1,5 +1,6 @@ -/* Eligibility: which nodes and edges of one graph may be used (APPROACH 4). Constructed only by - Graph::eligibility(excluded_nodes, excluded_edges) (graph.hpp, which includes this header). */ +/* Eligibility: which nodes and edges of one graph may be used. + Built only by Graph::eligibility(excluded_nodes, excluded_edges) (graph.hpp, which includes + this header) and by intersect, which combines two values of one graph. */ #pragma once #include diff --git a/include/netgraph/core/evaluators.hpp b/include/netgraph/core/evaluators.hpp index 3fe7d0e..f6c68f4 100644 --- a/include/netgraph/core/evaluators.hpp +++ b/include/netgraph/core/evaluators.hpp @@ -1,12 +1,11 @@ -/* The evaluators of APPROACH 11: capacity (a FlowPolicy placement of +inf on a fresh ledger; the - exact maximum flow is capacity() with routing Global and placement MaxFlow), batch_capacity - (capacity per pair) and sensitivity (the loss of deleting each candidate edge). */ +/* The evaluators: capacity (a FlowPolicy placement of +inf on + a fresh ledger; the exact maximum flow is capacity() with routing Global and placement + MaxFlow), batch_capacity (capacity per pair) and sensitivity (the loss of deleting each + candidate edge). */ #pragma once #include -#include #include -#include #include #include @@ -33,15 +32,11 @@ struct SensitivityOptions { OutputOptions outputs {}; }; -enum class SensitivityStatus { Evaluated, Unevaluable }; - // One candidate edge: loss = baseline placed - placed without the edge (signed, in units, never -// thresholded); an unevaluable deletion has no loss and the model exception's message in reason. +// thresholded). struct SensitivityEntry { EdgeId edge {0}; - std::optional loss {}; - SensitivityStatus status {SensitivityStatus::Evaluated}; - std::string reason {}; + Amount loss {0}; }; struct SensitivityResult { @@ -57,41 +52,38 @@ struct SensitivityResult { [[nodiscard]] PlacementResult capacity(const Graph& g, std::span sources, std::span destinations, const CapacityOptions& opts); -// capacity() per pair, in pair order, with opts.elig intersected with per_pair_elig[i] (null -// entries allowed; an empty span means none: the Python binding checks the length of every -// sequence it is given). Validated before any worker starts, the arguments first (workers >= 1, -// opts.elig's and the cache's graph, a supplied building cache only with workers == 1: it has -// one writer, while a frozen cache is shared by every worker; Pinned rejected: bundles bind -// endpoints; the per_pair_elig length; the -// configuration), then each pair completely in pair order (its endpoint sets, their overlap, -// its Eligibility's graph), so the lowest failing pair index is reported. Without a supplied -// cache each worker owns a private building cache, allocated before any thread starts. A worker -// exception aborts the batch and the exception of the lowest pair index is raised; an empty -// batch returns an empty list. A frozen cache's DagCacheMiss propagates unchanged; a per-pair -// intersection that differs from both operands has a fresh uid, absent from a frozen cache -// (APPROACH 10: already effective per-pair values with a null common value, or a common value -// containing them, reuse the prepopulated operand). +// Run capacity() per pair, returning results in pair order. Intersect opts.elig with +// per_pair_elig[i]; null entries are allowed, and an empty span supplies no per-pair values. +// The Python binding checks the length of every supplied sequence. +// Before starting workers, validate in order: workers >= 1; opts.elig's and the cache's graph; +// a supplied building cache with workers > 1; Pinned (rejected because bundles bind endpoints); +// the configuration; and per_pair_elig's length. Then validate each pair completely in index +// order: endpoint sets, overlap, Eligibility's graph. This reports the lowest failing pair index. +// A supplied building cache requires workers == 1 because it allows one writer. Workers share +// a supplied frozen cache, and the one worker uses a supplied building cache; without a supplied +// cache each worker gets a private building cache before threads start. +// A worker exception aborts the batch; rethrow the exception from the lowest pair index. +// An empty batch returns an empty list. DagCacheMiss always propagates unchanged. +// An intersection equal to an operand reuses its uid and any prepopulated cache entry. +// Otherwise it gets a fresh uid, absent from a frozen cache. To reuse entries, supply already +// effective per-pair values with no common Eligibility, or one that contains them. [[nodiscard]] std::vector batch_capacity( const Graph& g, const std::vector, std::vector>>& pairs, const CapacityOptions& opts, std::span per_pair_elig, std::int32_t workers); -// The baseline capacity() and one entry per candidate edge: under Global the edges with -// positive flow in the baseline; under every other model every edge opts.elig allows with at -// least 1 unit of static capacity. A loss is the baseline's placed minus the placed amount of -// capacity() with the edge deleted (opts.elig without it; the same configuration and cache). -// Global evaluates a deletion by the flow core's deletion re-solve from the baseline solve's -// final state (APPROACH 2.2: the minimum-cost flow of the maximum value without the edge, that -// value exactly), on one copy of the state per worker; an exact deletion on valid inputs always -// has an optimum, so any failure there propagates. CostOnly gives an edge outside every roster -// source's reachable part of the static support loss 0 without a placement, a result-equivalent -// predicate (no route uses the edge, so the deletion changes no route and no amount); every -// other deletion is placed on a fresh ledger, where a model exception (std::runtime_error) makes -// the entry unevaluable with its message as the reason. Every other exception propagates (the -// lowest candidate's). Workers and the cache -// rule as batch_capacity; a worker's private cache is cleared per candidate (fresh Eligibility -// uids never hit). CostOnly is the one model reading the cache: with a frozen cache a -// placed deletion raises DagCacheMiss (a fresh uid), which propagates unchanged (it is not a -// std::runtime_error, so never `unevaluable`); the other models read no cache. +// Return baseline capacity() and one entry per candidate edge. Global candidates carry +// positive baseline flow; other models use every edge opts.elig allows with capacity >= 1 unit. +// Loss is baseline placed minus placed with that edge deleted, using the same config and cache. +// Global starts from the baseline solve's final state and repairs it after deleting the edge, +// using one state copy per worker. The result is the exact maximum flow at minimum cost. +// CostOnly skips a deletion when no roster source's reachable part of the static shortest-path +// support contains the edge: no route uses it, so loss is 0. All other deletions use a fresh +// ledger. A failed deletion fails the call (no partial result), raising the exception of the +// lowest failing candidate index. +// Worker and cache rules are as in batch_capacity. Clear each worker's private cache per +// candidate because deletion Eligibility uids are fresh and cannot reuse entries. +// Only CostOnly reads the cache. A deletion that needs placement with a frozen cache raises +// DagCacheMiss for its fresh uid. [[nodiscard]] SensitivityResult sensitivity(const Graph& g, std::span sources, std::span destinations, const SensitivityOptions& opts, std::int32_t workers); diff --git a/include/netgraph/core/flow_ledger.hpp b/include/netgraph/core/flow_ledger.hpp index cdd421f..5377736 100644 --- a/include/netgraph/core/flow_ledger.hpp +++ b/include/netgraph/core/flow_ledger.hpp @@ -1,4 +1,4 @@ -/* The integer ledger FlowLedger (APPROACH 8). */ +/* The integer ledger FlowLedger. */ #pragma once #include @@ -19,11 +19,11 @@ namespace detail { struct LedgerAccess; } // namespace detail -// The ledger of one graph: an immutable baseline residual in units and the records of the -// flows placed on it. The ledger is mutated only through policies (bound to it by the -// internal entry points of detail::LedgerAccess); there is no public placement, removal or -// reservation. Aggregates are exact: allocated() is the sum of every record's edges and -// residual() = baseline - allocated(), both int64[E] snapshots in EdgeId order. +// A ledger tracks the flows placed on one graph. Its baseline is the available capacity in +// units before these flows; its residual is the capacity still unused. Policies alone place +// or remove flows through detail::LedgerAccess; there is no public placement, removal or +// reservation. allocated() is the exact sum of all records' edge amounts, and +// residual() = baseline - allocated(); both return int64[E] snapshots in EdgeId order. // // Lifetime: the graph outlives the ledger (shared pointer), the ledger outlives its policies. // A ledger with bound policies cannot be copied, moved or reset. A copy of an unbound ledger @@ -54,9 +54,10 @@ class FlowLedger { // One record; a FlowId of another ledger, a retired id or an unknown id throws // std::invalid_argument. [[nodiscard]] FlowRecord record(const FlowId& flow_id) const; - // Saturation diagnostic: the edges (statically eligible, capacity >= 1 unit) leaving the set - // reachable from the allowed sources over eligible forward arcs with residual >= 1 unit, in - // ascending EdgeId. Not a cut; empty when the sources reach everything they can. + // Saturation diagnostic: follow eligible forward edges with residual >= 1 unit from the + // allowed sources. Return statically eligible edges with capacity >= 1 unit leaving that + // reachable set, in ascending EdgeId; empty if no such edge remains. This is not a minimum-cut + // certificate: it does not follow reverse arcs that could cancel existing flow. [[nodiscard]] std::vector bottleneck(std::span sources, const Eligibility* elig = nullptr) const; // A new baseline (the capacities when absent); orphaned records and their allocations are // cleared and their ids retired. Rejected (std::invalid_argument) while a policy is bound. diff --git a/include/netgraph/core/flow_policy.hpp b/include/netgraph/core/flow_policy.hpp index f72734f..0056036 100644 --- a/include/netgraph/core/flow_policy.hpp +++ b/include/netgraph/core/flow_policy.hpp @@ -1,4 +1,4 @@ -/* The policy engine FlowPolicy (APPROACH 8 and 9). */ +/* The policy engine FlowPolicy. */ #pragma once #include @@ -25,8 +25,9 @@ struct PolicyAccess; class FrozenTally; } // namespace detail -// CapacityAware creations per call (stage 1 and accepted growth, across sources) before the -// call stops with limit_flows (APPROACH 9.2): an engine constant. +// CapacityAware creations per call (stage 1 and accepted growth, across sources): reaching it +// stops creation, and a source whose offer is not met then ends with LimitFlows. An engine +// constant. inline constexpr std::int64_t kMaxFlowsPerCall = 10000; // The diminishing-returns guard of CapacityAware growth: stop when at least `window` growth @@ -37,17 +38,18 @@ struct DiminishingReturns { double fraction {0.5}; }; -// The routing modes (APPROACH 9.1): a field exists only in the variant it applies to. -// CostOnly: IGP forwarding, one flow per source on the static shortest-path DAG (or its -// canonical single path), never refreshed, grown or reoptimised. -// CapacityAware: distributed CSPF tunnels: flow_count flows created by the canonical search on -// the selection view, grown up to max_flow_count (absent: no ceiling), gated by -// min_flow_bandwidth (units) and the max_path_cost ceiling, optionally reoptimised and guarded -// by `diminishing` (absent: off). -// Global: the omniscient controller, the minimum-cost flow of the cumulative value over the -// whole eligible graph (a replacement kernel; placement MaxFlow only). -// Pinned: explicit route structures, one flow per usable bundle in supply order (single -// endpoints; a Path converts with to_dag()). +// Each routing mode has only the fields it uses. +// CostOnly: one flow per source on the static shortest-path DAG (all shortest paths, with no +// directed cycles), or its canonical single path; never refreshed, grown or reoptimised. +// CapacityAware: flow_count flows found by shortest-path searches that require enough unused +// capacity on each edge. Grow up to max_flow_count (absent: no ceiling), subject to +// min_flow_bandwidth (units) and max_path_cost. Rerouting is optional; `diminishing` +// stops growth when recent gains are too small (absent: off). +// Global: replace the policy's allocation with a minimum-cost flow of what it already delivers +// plus this call's request (placed_demand() + volume: what an earlier call could not place is +// not requested again) over the whole eligible graph (placement MaxFlow only). +// Pinned: one flow per usable supplied route bundle, in supply order; single endpoints only. +// Convert a Path with to_dag(). struct CostOnly {}; struct CapacityAware { std::int32_t flow_count {1}; @@ -63,12 +65,12 @@ struct Pinned { }; using Routing = std::variant; -// The four outer axes are explicit (no defaults). Global and Pinned read selection.priority only -// for the Weighted kernel (membership and weights) and ignore the rest; CostOnly and -// CapacityAware read all four fields (APPROACH 9). The constructor rejects a placement, -// admission or selection field outside its enumeration (std::invalid_argument naming the field; -// rule 13); the fields stay assignable, so the policy and the evaluators check them again with -// the combination rules. +// routing, placement, admission and selection are required; none has a default. +// Global and Pinned use selection.priority only for Weighted membership and weights, and +// ignore the other selection fields. CostOnly and CapacityAware use all four selection fields. +// Setting an ignored field is not an error. Invalid placement, admission or selection enum +// values throw std::invalid_argument naming the field. Fields remain assignable, so policies +// and evaluators check them again, then check the supported combinations. struct FlowPolicyConfig { FlowPolicyConfig(Routing routing_, FlowPlacement placement_, Admission admission_, PathSelection selection_); Routing routing; @@ -86,13 +88,32 @@ struct OutputOptions { bool bottleneck {false}; }; -// The local outcome of a source and the call's termination (APPROACH 9.4). +// A source is served if its offer is 0, Lossless delivers the offer, or Lossy forwards the +// entire finite offer (including drops). Choose its first matching outcome: +// Complete: served. +// LimitFlows: creation/growth hit kMaxFlowsPerCall, or growth hit max_flow_count > flow_count. +// LimitDiminishing: the diminishing-returns guard stopped growth. +// NoRoute: no flows remain; for Global, maximum flow is 0 and nothing was ever placed. +// Exhausted: any other unserved case, including full flows with no growth, a full fixed-size +// group of flows, Global at maximum flow, or an infinite Lossy offer. +// Global and Pinned act as one source: every local outcome equals the call's termination. +// The call is Complete for request 0 or when all sources are served, and NoRoute for a positive +// request with an empty roster: no eligible source statically reaches an allowed destination. +// Otherwise, take the highest unserved outcome: LimitFlows > LimitDiminishing > Exhausted > +// NoRoute. enum class Termination { Complete, LimitFlows, LimitDiminishing, NoRoute, Exhausted }; -// The result of one placement call: the deltas of this call (placed, remaining = request - -// placed, nullopt for +inf; drops = this call's transit drops), the termination and one local -// outcome per roster source (ascending NodeId), the two flags of the 9.4 table; Global adds the -// marginal cost curve of its cumulative solve. The optional outputs are present when requested. +// Per-call changes: placed, remaining = request - placed (nullopt for +inf), and transit drops. +// Include the termination and one local outcome per roster source in ascending NodeId. +// Global also returns its cumulative marginal cost curve: (cost, units) pairs in ascending cost, +// where delivering `units` more units raises the minimum total cost of the flow by `cost` per +// unit. Delivering more can reroute flow already placed, so the pairs are not the costs of the +// paths in the final allocation. Optional outputs appear only if asked. +// Both change flags start false and report committed changes only. routes_changed means a +// source's group of flows was created (even at zero delivery), a retained flow was rerouted, +// growth added a flow, or Global changed a source's used-edge set. weights_changed means a +// rerouted Weighted flow captured its weights again; Global never sets it. A candidate equal +// to the current route is not a change. struct PlacementResult { Amount placed {0}; std::optional remaining {}; @@ -105,25 +126,34 @@ struct PlacementResult { std::optional> edge_flows {}; std::optional> residual {}; std::optional> bottleneck {}; - // Global with bottleneck requested: the full-residual cut when the solve was maximal on its - // view (an empty roster's maximal flow 0 has the empty cut); nullopt otherwise: not requested, - // not Global, a solve stopped by its cap, or a zero call (nothing is solved). + // Global, when bottleneck is requested: positive-view edges leaving the set reachable from + // the real sources through residual arcs, including reverse arcs that cancel flow. A maximal + // solve returns this minimum cut; an empty roster returns an empty cut for its maximal flow + // of 0. nullopt if not requested, not Global, stopped by the cap, or a zero call (no solve). std::optional> min_cut {}; }; -// The one placement engine (APPROACH 9). A policy binds to its ledger at construction and is the -// only way flows enter it: place() runs the transaction of 9.2 and commits one atomic exchange; -// remove() reverts every flow of the policy, retires the ids and opens a new epoch; destroying a -// policy without remove() leaves its records in the ledger as orphans. +// A policy binds to its ledger at construction. place() validates, then Global re-solves what +// it already delivers plus the request; other modes create, reroute, fill and grow flows per roster source using +// one working copy of unused capacity. All changes commit together, or none do. +// remove() releases every policy flow, retires their ids and starts a new epoch: the period +// since construction or the last remove() over which requests and flows accumulate. Destroying +// a policy without remove() leaves its records in the ledger as orphans. // // Validation (std::invalid_argument, before anything binds): the endpoint sets (non-empty, ids // in range, disjoint), a foreign Eligibility or DagCache, the configuration (enumeration values; // Lossy with MaxFlow, Global or CapacityAware; Global without MaxFlow; Weighted with Headroom; -// flow_count >= 1; max_flow_count >= flow_count; min_flow_bandwidth >= 0; the ceiling; the -// diminishing guard; Pinned: single endpoints, a non-empty bundle list of this graph without -// duplicates, every bundle with a src -> dst walk before pruning). place() validates the -// request ([0, 2^62) units or +inf; a finite request after +inf in the epoch is rejected, also -// 0) before any change. +// flow_count >= 1; max_flow_count >= flow_count; min_flow_bandwidth in [0, 2^62) units; the +// ceiling; the diminishing guard; Pinned: single endpoints, a non-empty bundle list of this graph +// without null or duplicate bundles, every bundle with a src -> dst walk before pruning). The order between +// these three groups of checks is not specified: when defects of two groups meet, the one +// reported may differ between this constructor and a language binding. place() validates the request ([0, 2^62) units or +inf; a +// finite request after +inf in the epoch is rejected, also 0) before any change. A solve of the +// flow core (Global, or a MaxFlow flow) whose network exceeds the core's int32 numbering throws +// std::invalid_argument, and the call changes nothing: more than INT32_MAX - 2 nodes, or more than +// 2^30 - 1 edges, sources and destinations together (Global counts the graph's nodes, the +// eligible edges, the roster and the eligible destinations; a MaxFlow flow the nodes of its +// member edges and endpoints, its member edges, its source and its destinations). // // Lifetime: the ledger, the Eligibility and the DagCache outlive the policy (the policy holds // pointers to them). The roster (the eligible sources that statically reach an allowed @@ -156,7 +186,7 @@ class FlowPolicy { private: friend struct detail::PolicyAccess; // Construction inside another public call (an evaluator): a supplied frozen cache's hits are - // recorded in that call's tally (NOTES R27). + // recorded in that call's tally. FlowPolicy(FlowLedger& ledger, std::span sources, std::span destinations, FlowPolicyConfig config, const Eligibility* elig, DagCache* cache, detail::FrozenTally& tally); std::unique_ptr engine_; diff --git a/include/netgraph/core/flow_record.hpp b/include/netgraph/core/flow_record.hpp index b3b8c3f..1f1440e 100644 --- a/include/netgraph/core/flow_record.hpp +++ b/include/netgraph/core/flow_record.hpp @@ -1,4 +1,4 @@ -/* Flow identities, the 128-bit counter and the ledger records (APPROACH 8). */ +/* Flow identities, the 128-bit counter and the ledger records. */ #pragma once #include @@ -17,7 +17,8 @@ namespace netgraph::core { using FlowId = std::pair; // A cumulative counter (offered, per-edge drops): a sum over calls, the 128-bit value -// hi * 2^64 + lo, always below 2^127 (APPROACH 2.1, 2.3). +// hi * 2^64 + lo, always below 2^127. Such sums over many calls may exceed 64 bits; the +// Python binding returns them as exact int. struct Counter128 { std::uint64_t hi {0}; std::uint64_t lo {0}; @@ -35,11 +36,11 @@ struct Counter128 { } }; -// One flow of the ledger, as a snapshot (records(), record(id)). `bundle` is the flow's route -// structure (its structural identity); `route_cost` the cached minimum walk cost from the -// sources to the destinations over that bundle (kUnreachable when it has no such walk); -// `offered` exists on Lossy records only (the injection basis); `edges` and `drops` list -// positive values in ascending EdgeId; per-call and cumulative drop totals are derived. +// A snapshot of one ledger flow, returned by records() or record(id). `bundle` is its route +// structure; `route_cost` is the minimum walk cost from its sources to its destinations over +// that bundle, or kUnreachable if none exists. Lossy records alone have `offered`: the cumulative +// amount submitted to this flow before any drops. `edges` and `drops` contain positive values +// in ascending EdgeId; per-call and cumulative drop totals are derived. struct FlowRecord { FlowId flow_id {}; std::int64_t owner {0}; diff --git a/include/netgraph/core/graph.hpp b/include/netgraph/core/graph.hpp index c261fcc..1b2f907 100644 --- a/include/netgraph/core/graph.hpp +++ b/include/netgraph/core/graph.hpp @@ -1,4 +1,5 @@ -/* The one graph type: an immutable directed multigraph on integer units (APPROACH 3). */ +/* An immutable directed graph that allows several edges between the same ordered node pair. + Capacities use integer units. */ #pragma once #include @@ -14,37 +15,40 @@ namespace detail { struct GraphAccess; } // namespace detail -// Converts a physical value to units of the resolution q, rounding half up. The only way a -// physical number enters Core. Throws std::invalid_argument for NaN, infinity, a negative value, -// a result at or above the domain bound 2^62, or a resolution that is not a power of two in -// [2^-32, 2^32]. +// Convert a physical value to units of resolution q (the physical size of one unit). +// Round to the nearest integer, with exact halves rounded up. This is the only way a physical +// value enters Core. Throw std::invalid_argument for NaN, infinity, a negative value, a result +// >= 2^62, or a resolution that is not a power of two in [2^-32, 2^32]. [[nodiscard]] Amount to_units(double x, double resolution); // Units to a physical double (x * q): exact below 2^53 units. [[nodiscard]] double as_float(Amount x, double resolution); -// Edges are given in input order. The public EdgeId of an edge is its rank in the stable order -// (src, cost, dst, input): the out-edges of u are exactly the ids [row_offsets()[u], -// row_offsets()[u + 1]) in traversal order (cost, dst, input), and input_index()[e] is the input -// position of e. Every other per-edge array is in id order. The reverse CSR lists the in-edges -// of v in (cost, src, input) order. +// Edges arrive in input order. Their public EdgeIds are their positions after sorting by +// (src, cost, dst, input). Node u's out-edges are [row_offsets()[u], row_offsets()[u + 1]), +// ordered by (cost, dst, input); input_index()[e] gives e's input position. All other per-edge +// arrays use EdgeId order, except in_adj_edge_index() (reverse-CSR slot order). CSR (compressed +// sparse row) stores each node's edges in a flat array and uses offsets to mark its range. +// Reverse CSR lists v's in-edges in (cost, src, input) order. // // The constructor validates in this order and reports the first defect (std::invalid_argument): // the resolution (a power of two in [2^-32, 2^32]); the unit values (every capacity in // [0, 2^62)); the array shapes (num_nodes >= 0, equal lengths, at most INT32_MAX edges); zero -// or negative costs (costs are positive, rule 28); the remaining bounds (endpoints in -// [0, num_nodes), then the sum of all capacities and the sum of all costs below 2^62, so no path -// cost overflows int64). This is APPROACH 3's order (revision 25); a language binding validates -// in the same order before narrowing any value, so the reported defect does not depend on the -// representation of the input. +// or negative costs (costs are positive); the remaining bounds (endpoints in +// [0, num_nodes), then the capacity and cost sums below 2^62, so no path cost overflows int64: +// both are added up edge by edge in input order, and the first edge at which a running sum +// reaches 2^62 reports that sum, the capacity sum before the cost sum at the same edge). The +// order is part of the interface: a language binding validates in the same order before +// narrowing any value, so the reported defect does not depend on the representation of the +// input. // -// Construction (APPROACH 3): stable counting passes by dst, cost rank and src give the id order, -// two more by cost rank and dst the reverse CSR; when N K < E, combined keys do it in two forward -// passes (dst, then (src, rank)) and one reverse pass ((dst, rank)). An edgeless graph is its -// validation and two zero-filled offset arrays. The cost ranks come from the distinct costs -// collected in a hash table while there are at most 65,536 of them and a cumulative probe budget -// of 8E + 8 x 65,536 table slots lasts, else from a sort of all costs; both give the same ranks. -// Expected linear in E + N for a bounded number of distinct costs, O(N + E log(E + 1)) at worst. -// Retained: 36 bytes per edge plus 8 (N + 1) bytes of offsets. +// Construction uses N nodes, E edges and K distinct costs. A cost's rank is its position among +// the sorted distinct costs. Stable counting passes group by each key without changing ties: +// dst, cost rank, src give EdgeId order; cost rank, dst give reverse CSR. When N K < E, use +// dst then (src, rank) forward, and (dst, rank) reverse. With no edges, only validation and two +// zero-filled offset arrays are needed. Rank costs through a hash table up to 65,536 distinct +// costs and 8E + 8 x 65,536 examined slots; otherwise sort all costs. Both give the same ranks. +// Expected O(E + N) for bounded K; O(N + E log(E + 1)) worst case. +// Retained arrays: 36 bytes per edge plus 8 (N + 1) bytes of offsets. // // A copy is a new graph: same ids and input map, a new uid. Uids come from one process-wide // 64-bit counter and are never reused. A move transfers every array and the uid without @@ -75,7 +79,8 @@ class Graph { [[nodiscard]] std::span cost() const noexcept { return cost_; } [[nodiscard]] std::span edge_src() const noexcept { return src_; } [[nodiscard]] std::span edge_dst() const noexcept { return dst_; } - // Full scans at construction; 0 on a graph without edges. + // Maximum edge cost and greatest common divisor of all edge costs, computed by full scans + // at construction; both are 0 on a graph without edges. [[nodiscard]] Cost max_cost() const noexcept { return max_cost_; } [[nodiscard]] Cost cost_gcd() const noexcept { return cost_gcd_; } // id -> input position. The inverse permutation is the caller's (one O(E) scatter). @@ -90,7 +95,7 @@ class Graph { // Static eligibility from excluded ids (duplicates and unsorted lists accepted, out-of-range // ids rejected). Empty lists mean all allowed (uid 0). The one public construction of an - // Eligibility (eligibility.hpp). + // Eligibility from excluded ids (Eligibility::intersect combines two values). [[nodiscard]] Eligibility eligibility(std::span excluded_nodes = {}, std::span excluded_edges = {}) const; diff --git a/include/netgraph/core/options.hpp b/include/netgraph/core/options.hpp index 7fae6bc..6a9a01d 100644 --- a/include/netgraph/core/options.hpp +++ b/include/netgraph/core/options.hpp @@ -1,6 +1,6 @@ -/* The shared small option types: the selection axes of the searches and the policies (APPROACH 6) - and the placement kinds of the kernels (APPROACH 7). Component configurations and result - statuses stay with their component. */ +/* The shared small option types: the selection axes of the searches and the policies and the + placement kinds of the kernels. Component configurations and result statuses stay with their + component. */ #pragma once #include @@ -9,13 +9,13 @@ namespace netgraph::core { -// The orientation of a search: Forward from the roots, or Reverse (rooted at the roots over -// reversed arcs; the DAG it returns is forward-oriented, toward the roots). +// Forward follows edges from the roots; Reverse follows them backwards toward the roots. +// The returned DAG (a directed graph with no cycles) keeps the edges' original orientation. enum class Direction { Forward, Reverse }; -// One cost ceiling knob (APPROACH 6): an Absolute cost budget (inclusive, >= 0), or a Stretch -// factor (in [1, inf)) of the static shortest cost under the given Eligibility, read as the exact -// dyadic rational it is and compared without rounding. +// Inclusive cost ceiling: Absolute gives a budget >= 0; Stretch multiplies the static shortest +// cost under the given Eligibility by a factor in [1, inf). Use the double's exact stored +// value, a dyadic rational (an integer divided by a power of two), with no comparison rounding. struct Absolute { Cost cost {0}; friend bool operator==(const Absolute&, const Absolute&) = default; @@ -26,26 +26,27 @@ struct Stretch { }; using CostCeiling = std::variant; -// How ties between equal-cost candidates are broken, at both tie levels: the member chosen -// among parallel edges of one (u, v) pair and the single path chosen among equal-cost walks. -// Deterministic ignores capacities entirely (the lowest EdgeId wins); PreferHigherPriority -// prefers the higher `priority` value first (then the lowest EdgeId). +// Break equal-cost ties first between parallel edges, then between walks. +// For one (u, v) pair, Deterministic picks the lowest EdgeId; PreferHigherPriority picks the +// higher priority, then lowest EdgeId. For a single path (multipath = false), +// PreferHigherPriority first maximises the smallest edge priority along the walk (bottleneck); +// Deterministic ignores capacities. Both then prefer fewer hops, then the lexicographically +// smallest EdgeId sequence: compare at the first differing edge. Choose parallel members +// first (multi_edge = false), then choose the walk among the remaining members. enum class EdgeTieBreak { Deterministic, PreferHigherPriority }; -// The per-edge value read by PreferHigherPriority and, for the Weighted kernel, its membership -// and weights: the residual units on the view of the search (Residual), the static capacity -// units (Capacity), or the exact rational residual / capacity (Headroom; rejected with -// Weighted). A search given no residual reads static capacities for every priority. +// Per-edge priority for PreferHigherPriority and for Weighted membership and weights: +// Residual is unused capacity in units on the search's view; Capacity is static capacity in +// units; Headroom is the exact ratio residual / capacity (rejected with Weighted). +// Without a supplied residual, a search uses static capacity as the value for every priority. enum class EdgePriority { Residual, Capacity, Headroom }; -// The selection of a search: `multipath` keeps every equal-cost walk (the shortest-path DAG) -// instead of the one canonical single path; `multi_edge` keeps every eligible parallel member -// of a (u, v) pair instead of the one chosen by (minimum cost, priority under -// PreferHigherPriority, lowest EdgeId). tie_break and priority have no default (APPROACH 9: an -// outer axis is explicit); the two flags default to the plain form of their mechanism. The -// constructor rejects a tie_break or priority outside its enumeration (std::invalid_argument -// naming the field; rule 13); the fields stay assignable, so every entry that reads a selection -// checks it again. +// `multipath` keeps all equal-cost walks as a shortest-path DAG; false selects the canonical +// single path. `multi_edge` keeps all eligible parallel edges between each (u, v) pair; false +// keeps one by (minimum cost, higher priority under PreferHigherPriority, lowest EdgeId). +// Both flags default to true. tie_break and priority are required. Invalid enum values throw +// std::invalid_argument naming the field. Fields remain assignable, so every entry point that +// uses a selection validates it again. struct PathSelection { PathSelection(EdgeTieBreak tie_break_, EdgePriority priority_, bool multipath_ = true, bool multi_edge_ = true); EdgeTieBreak tie_break; @@ -55,10 +56,13 @@ struct PathSelection { friend bool operator==(const PathSelection&, const PathSelection&) = default; }; -// The kernel that computes one flow's pushes on its DAG: MaxFlow (the flow core of the -// minimum-cost flow restricted to the flow's split graph, a replacement on V = W + own), -// Weighted (hop-by-hop WCMP: highest-averages apportionment over frozen weights at every node) -// and EqualBalanced (ECMP: round robin at every node). +// A placement kernel assigns one flow's amounts to its usable route edges (its split graph). +// MaxFlow replaces its allocation with a minimum-cost flow on the split graph over +// V = W + own, where W is unused capacity and own is this flow's current allocation. Weighted +// splits at each node using weights fixed at creation: give each next unit to the edge with +// largest w / (a + 1), where w is its weight and a its share so far; ties use lower EdgeId. +// EqualBalanced splits equally at each node, giving leftover units to edges in ascending +// EdgeId order. enum class FlowPlacement { MaxFlow, Weighted, EqualBalanced }; // Lossless admits only what fits; Lossy forwards hop by hop without admission control and diff --git a/include/netgraph/core/pred_dag.hpp b/include/netgraph/core/pred_dag.hpp index 233f510..d887333 100644 --- a/include/netgraph/core/pred_dag.hpp +++ b/include/netgraph/core/pred_dag.hpp @@ -1,4 +1,4 @@ -/* Route structures: the immutable predecessor DAG and the explicit Path (APPROACH 5). */ +/* Route structures: the immutable predecessor DAG and the explicit Path. */ #pragma once #include @@ -15,14 +15,14 @@ struct PredDAGBuilder; struct PathBuilder; } // namespace detail -// An immutable, graph-bound DAG in predecessor CSR form: the predecessor entries of node v are -// parents()[k] and via_edges()[k] for k in [parent_offsets()[v], parent_offsets()[v + 1]); the -// entry (u, e) means the edge e = u -> v belongs to the DAG. Within a node the entries are in -// strictly ascending via EdgeId, so a DAG value has one canonical form. Equality is structural -// (same graph, same CSR). Every API that takes a route structure takes a PredDAG; a DAG of -// another graph is rejected wherever it is used. +// An immutable predecessor DAG: a directed graph with no cycles, recording each node's +// incoming edges. It belongs to one graph. CSR (compressed sparse row) groups entries in flat +// arrays: node v uses parents()[k] and via_edges()[k] for +// k in [parent_offsets()[v], parent_offsets()[v + 1]); (u, e) means edge e = u -> v is included. +// Entries per node have strictly ascending via EdgeId, giving one canonical form. Equality +// means the same graph and CSR. Route APIs take PredDAG and reject one from another graph. // -// Storage is sparse (APPROACH 8, revision 27): the entries are kept per member node (the nodes +// Storage is sparse: the entries are kept per member node (the nodes // with at least one entry, ascending, and their offsets), never as an N + 1 offsets array, so a // flow's bundle costs O(its entries) whatever the graph's size. parent_offsets() presents the // from_csr shape on demand (a fresh N + 1 array); parents() and via_edges() are the stored diff --git a/include/netgraph/core/search.hpp b/include/netgraph/core/search.hpp index d1dd2c8..42ed9a7 100644 --- a/include/netgraph/core/search.hpp +++ b/include/netgraph/core/search.hpp @@ -1,6 +1,6 @@ -/* The public search (APPROACH 5 and 6): spf from a set of roots, forward or reverse, with an - optional set of targets (anycast); ksp, the K shortest paths in the canonical order; and - resolve_to_paths, a DAG unfolded into explicit paths. */ +/* The public search: spf from a set of roots, forward or reverse, + with an optional set of targets (anycast); ksp, the K shortest paths in the canonical order; + and resolve_to_paths, a DAG unfolded into explicit paths. */ #pragma once #include @@ -16,20 +16,21 @@ namespace netgraph::core { -// The frontier queue of a search (C++ only; the results never depend on it). Auto takes the -// monotone bucket queue when the graph's costs fit max_cost / max(1, cost_gcd) + 1 <= 65,536 -// buckets, else the binary heap; Heap always takes the heap. Both pop in (distance, node) order -// and give identical results. +// The queue holds nodes waiting for their shortest distance to be finalised (C++ only). +// Auto groups them into cyclic distance buckets if max_cost / max(1, cost_gcd) + 1 <= 65,536; +// cost_gcd is the greatest common divisor of edge costs. Otherwise use a binary heap, which +// keeps the smallest key first; Heap always uses it. Both pop in (distance, node) order and +// give identical results. The bucket limit bounds bucket storage. enum class SpfQueue { Auto, Heap }; -// The options of spf (APPROACH 6). direction and selection are explicit; targets absent is a -// full search (every reachable node settled), present a search that stops at the nearest -// targets (anycast). A supplied residual (int64[E] in EdgeId order, each entry in -// [0, capacity_units]) is borrowed for the call; it adds residual gating at min_residual units -// and supplies the residual values of the selected priority. min_residual (an integer >= 1) gates -// a supplied residual only: static eligibility (the Eligibility, capacity >= 1 unit) is -// unconditional. The constructor rejects a direction outside its enumeration -// (std::invalid_argument naming the field); the fields stay assignable, so spf checks them again. +// spf requires direction and selection. Without targets, finalise every reachable node's +// shortest distance; with targets, stop at the nearest targets (anycast). +// A supplied residual gives unused capacity: int64[E] in EdgeId order, each in +// [0, capacity_units], borrowed for this call. Only edges with residual >= min_residual are +// usable, and these values also supply residual-based priorities. min_residual must be >= 1 +// and applies only when residual is supplied. Eligibility and capacity >= 1 unit always apply. +// Invalid direction enum values throw std::invalid_argument naming the field. Fields remain +// assignable, so spf validates them again. struct SpfOptions { SpfOptions(Direction direction_, PathSelection selection_); Direction direction; @@ -63,13 +64,13 @@ struct SpfResult { [[nodiscard]] SpfResult spf(const Graph& g, std::span roots, const SpfOptions& opts, SpfQueue queue = SpfQueue::Auto); -// The options of ksp (APPROACH 6, rule 10). k (>= 1) and selection are explicit; the selection's -// multi_edge is the member rule (Expand keeps every eligible parallel member, Collapse one per -// (u, v) pair by select_adjacency) and multipath is ignored. max_path_cost: an inclusive ceiling, -// Absolute(c) (c >= 0) or Stretch(f) (f finite in [1, inf), read as the exact dyadic rational it -// is) times the static shortest cost of the member graph under the Eligibility, residual ignored. -// A supplied residual (validated as for spf, borrowed for the call) gates at 1 unit and supplies -// the priority values. The fields stay assignable; ksp checks them. +// ksp requires k >= 1 and a selection. multi_edge = true keeps all eligible parallel edges; +// false keeps one per (u, v) pair by select_adjacency. multipath is ignored. +// max_path_cost is inclusive: Absolute(c), c >= 0, or Stretch(f), finite f in [1, inf), times +// the static shortest cost under the Eligibility, ignoring residual capacity. f is compared +// exactly, as for CostCeiling. +// A residual is validated as for spf and borrowed for the call; edges need at least 1 unused +// unit, and it supplies priority values. Fields remain assignable, so ksp validates them. struct KspOptions { KspOptions(std::int64_t k_, PathSelection selection_); std::int64_t k; @@ -79,7 +80,7 @@ struct KspOptions { const Eligibility* elig {nullptr}; }; -// The K shortest simple src -> dst paths of the member graph in increasing (cost, -bottleneck +// The K shortest src -> dst paths with no repeated node, ordered by (cost, -bottleneck // under PreferHigherPriority, hops, edge-id sequence), the bottleneck being the minimum priority // value along a path: the minimal prefix of that order, truncated at k and at the ceiling. Each // path is a Path of single-member hops with its cost. Validates in this order before any work @@ -88,10 +89,11 @@ struct KspOptions { // Stretch ceiling, or no path gives an empty list. [[nodiscard]] std::vector> ksp(const Graph& g, NodeId src, NodeId dst, const KspOptions& opts); -// The src -> dst walks of a DAG (APPROACH 5) in increasing (cost, hops, edge-id sequence): a hop's +// The src -> dst walks of a DAG in increasing (cost, hops, edge-id sequence): a hop's // cost is its cheapest member's, and a grouped hop is represented in the key by its lowest member // id. split_parallel_edges = false keeps every parallel member of the DAG's (u, v) pair in one hop -// (members ascending); true gives one path per member combination, in the same order. max_paths +// (members ascending); true gives one path per member combination, sorted by that path's own +// (cost, hops, edge-id sequence). max_paths // (>= 1) truncates the sorted list; absent, every walk. Validates (std::invalid_argument): a DAG of // another graph, src and dst in range, src == dst, max_paths >= 1. An endpoint outside the DAG, or // no walk, gives an empty list. diff --git a/include/netgraph/core/types.hpp b/include/netgraph/core/types.hpp index 916adef..e518372 100644 --- a/include/netgraph/core/types.hpp +++ b/include/netgraph/core/types.hpp @@ -1,4 +1,4 @@ -/* Core type aliases and the bounds of the units domain (APPROACH 2.1). */ +/* Core type aliases and the bounds of the units domain. */ #pragma once #include @@ -7,11 +7,12 @@ namespace netgraph::core { // Node and edge identifiers are signed 32-bit integers. An EdgeId is the rank of the edge in -// the stable order (src, cost, dst, input) of its graph (layout B'); the input position of an +// the stable order (src, cost, dst, input) of its graph; the input position of an // edge is Graph::input_index()[e]. using NodeId = std::int32_t; using EdgeId = std::int32_t; -// Edge and path costs: positive integers, never converted. +// Costs: integers, never converted. An edge cost is at least 1, so a path's cost is positive; a +// search's distance is 0 at its roots, and kUnreachable (below) marks no path. using Cost = std::int64_t; // An amount: an integer number of units of the graph's resolution. Capacities, views, flows and // requests are amounts; there is no finer grid. @@ -21,8 +22,10 @@ using Amount = std::int64_t; // all edge costs stay below 2^62. inline constexpr std::int64_t kDomainLimit = std::int64_t{1} << 62; -// The path-cost sentinel of an unreachable node or an empty route (None in Python). Costs are -// positive and their sum is below 2^62, so no path cost reaches it. +// The path-cost sentinel of an unreachable node or an empty route. Python keeps this value itself +// in the integer distance array SpfResult.costs and shows a single unreachable cost +// (SpfResult.target_cost, FlowRecord.route_cost) as None. Costs are positive and their sum is +// below 2^62, so no path cost reaches it. inline constexpr Cost kUnreachable = std::numeric_limits::max(); } // namespace netgraph::core diff --git a/pyproject.toml b/pyproject.toml index 472a411..a5625e0 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,5 +1,8 @@ [build-system] -requires = ["scikit-build-core>=0.10", "pybind11>=3", "numpy>=1.23.2"] +# scikit-build-core 1.0 introduced the "explicit" sdist file selection used below. pybind11 is +# pinned: the wheel ships its licence notice (third_party/pybind11/LICENSE, this version's) and +# CMakeLists.txt requires the same version. NumPy is a run-time dependency only. +requires = ["scikit-build-core>=1.0", "pybind11==3.1.0"] build-backend = "scikit_build_core.build" [project] @@ -9,6 +12,8 @@ description = "C++ implementation of graph algorithms for network flow analysis readme = "README.md" requires-python = ">=3.11" license = "MIT" +# The wheel contains compiled pybind11 code, whose BSD-3-Clause licence asks for its notice. +license-files = ["LICENSE", "third_party/pybind11/LICENSE"] authors = [{ name = "Project Contributors" }] classifiers = [ "Development Status :: 3 - Alpha", @@ -31,11 +36,11 @@ dependencies = ["numpy>=1.23.2"] [project.optional-dependencies] dev = [ "pytest>=8", - "pytest-cov", - "pytest-benchmark", - "gcovr>=7", "ruff==0.11.13", "pyright==1.1.401", + # Generates python/netgraph_core/__init__.pyi (bash dev/stubs/run.sh generate); a new + # version can change the generated text, so it is pinned and updated deliberately. + "pybind11-stubgen==3.0.0", "pre-commit", "build", "twine", @@ -50,28 +55,77 @@ Homepage = "https://github.com/networmix/NetGraph-Core" wheel.expand-macos-universal-tags = true build-dir = "build/{wheel_tag}" cmake.version = ">=3.23" -# Developer tooling and research records are not part of the distribution. -sdist.exclude = ["dev/"] -# Include Python sources from the "python/" directory +# The sdist holds exactly the files listed here ("explicit": nothing outside them is taken, so a +# local file elsewhere in the checkout never ships): the build's sources, the package, the tests +# with their data, the documents and the licence notices. Left out: the developer tooling (dev/), +# the entrypoints that only run it (the Makefile, the CI workflows, the pre-commit +# configuration), the agent/workspace configuration, and the frozen reference that regenerates +# tests/data/policy_fixtures.json (tests/reference/, see its README; no test reads it). Release +# CI runs the same commit's tests from its checkout against an installation built from the +# sdist. This mode does not read .gitignore, so the local by-products it names that appear +# inside the listed directories (Python caches, compiled modules, Finder files, the backup and +# reject files of `patch`) are excluded here. The wheel takes its package files +# (python/netgraph_core) by the same rule. +# dev/stubs/check_contents.py repeats the list and refuses any other file, and any file git +# ignores. +sdist.inclusion-mode = "explicit" +sdist.include = [ + "/.coveragerc", + "/.gitignore", + "/CHANGELOG.md", + "/CMakeLists.txt", + "/CONTRIBUTING.md", + "/LICENSE", + "/README.md", + "/pyproject.toml", + "/bindings/", + "/docs/", + "/include/", + "/python/", + "/src/", + "/tests/", + "/third_party/", +] +sdist.exclude = [ + "/tests/reference/", + "__pycache__/", + "*.py[codz]", + "*.so", + ".DS_Store", + "*.orig", + "*.rej", +] +# The package directory ships whole: __init__.py, the generated type stub __init__.pyi and the +# py.typed marker (dev/stubs/run.sh check lists the wheel and the sdist and requires them). wheel.packages = ["python/netgraph_core"] +# Every project option is stated for every build: the build directory above is shared, CMake keeps +# an option's cached value when a later configure does not name it, and so a coverage, native or +# hooks setting of one build would otherwise leak into the next. A variant overrides one value on +# the command line (`pip install -C cmake.define.NETGRAPH_CORE_NATIVE=ON ...`, see the Makefile). +[tool.scikit-build.cmake.define] +NETGRAPH_CORE_PRIVATE_HOOKS = "OFF" +NETGRAPH_CORE_BUILD_TESTS = "OFF" +NETGRAPH_CORE_COVERAGE = "OFF" +NETGRAPH_CORE_SANITIZE = "OFF" +NETGRAPH_CORE_TSAN = "OFF" +NETGRAPH_CORE_NATIVE = "OFF" + [[tool.scikit-build.overrides]] # The editable development build carries the private test hooks (CMake option -# NETGRAPH_CORE_PRIVATE_HOOKS); a wheel or sdist build does not. +# NETGRAPH_CORE_PRIVATE_HOOKS); a wheel or sdist build does not. "append": the override changes +# this one value and keeps the other explicit defaults above (it would otherwise replace them). if.state = "^editable$" +inherit.cmake.define = "append" cmake.define.NETGRAPH_CORE_PRIVATE_HOOKS = "ON" [tool.pytest.ini_options] addopts = "-q" -# pytest without arguments collects the repository tests only, not saved evidence under dev/. testpaths = ["tests"] -markers = ["slow: marks tests as slow (deselect with '-m \"not slow\"')"] [tool.ruff] line-length = 88 indent-width = 4 -# Recorded reviewer artefacts are kept verbatim. -extend-exclude = ["dev/reviews", "dev/design/2026-10-streamline/review", "dev/design/2026-10-streamline/review-*"] [tool.ruff.lint] select = ["E4", "E7", "E9", "F", "B", "I"] @@ -98,6 +152,3 @@ exclude = [ "**/*.egg-info/**", ] reportMissingTypeStubs = "warning" -reportUnknownMemberType = "none" -reportUnknownVariableType = "none" -reportUnknownArgumentType = "none" diff --git a/python/netgraph_core/__init__.py b/python/netgraph_core/__init__.py index 8cca271..dedfc25 100644 --- a/python/netgraph_core/__init__.py +++ b/python/netgraph_core/__init__.py @@ -1,26 +1,26 @@ -"""Runtime package surface for :mod:`netgraph_core`. +"""NetGraph-Core: graph, flow and placement models on exact integer units. -All public symbols are re-exported from the compiled ``_netgraph_core`` module so -downstream users import everything from a single place. Typing shims supplied in -``_docs.py`` keep editors happy without affecting runtime behavior. +Every public name is re-exported from the compiled ``_netgraph_core`` module, so users +import everything from here. Type checkers read the generated stub ``__init__.pyi`` next +to this file (``py.typed`` marks the package as typed). -The package carries the graph on integer units (``Graph``, ``Eligibility`` -with ``intersect``, ``to_units``, ``as_float``), the route structures (``PredDAG``, -``Path``), the selection and placement axes (``PathSelection``, ``EdgeTieBreak``, -``EdgePriority``, ``FlowPlacement``, ``Admission``), the integer ledger (``FlowLedger`` -with its ``FlowRecord`` snapshots), the policy engine (``FlowPolicy`` with -``FlowPolicyConfig`` over the routing variants ``CostOnly``, ``CapacityAware``, -``Global``, ``Pinned``; ``PlacementResult``, ``OutputOptions``, ``Termination``), the -``DagCache`` (building and frozen modes, ``DagCacheMiss``) and the evaluators (``capacity``, ``batch_capacity``, -``sensitivity``) and the public search (``spf`` with ``Direction``, ``SpfOptions``, -``SpfResult`` and the ``UNREACHABLE`` sentinel; ``ksp`` with ``KspOptions``; ``resolve_to_paths``). ``_netgraph_core`` also holds the private -entry of the flow core, which is never re-exported here. -""" +- The graph on integer units: ``Graph``, ``Eligibility``, ``to_units``, ``as_float``. +- Route structures: ``PredDAG``, ``Path``. +- Route selection and placement settings: ``PathSelection``, ``EdgeTieBreak``, + ``EdgePriority``, ``FlowPlacement``, ``Admission``. +- The ledger of placed traffic: ``FlowLedger`` and its ``FlowRecord`` snapshots. +- The policy engine: ``FlowPolicy``, ``FlowPolicyConfig``, the routings ``CostOnly``, + ``CapacityAware``, ``Global``, ``Pinned``, and ``PlacementResult``, ``OutputOptions``, + ``Termination``. +- The shortest-path cache: ``DagCache`` (building and frozen modes), ``DagCacheMiss``. +- The evaluators: ``capacity``, ``batch_capacity``, ``sensitivity``. +- The searches: ``spf`` (``Direction``, ``SpfOptions``, ``SpfResult``, ``UNREACHABLE``), + ``ksp`` (``KspOptions``), ``resolve_to_paths``. -# pyright: reportMissingImports=false +``_netgraph_core`` also holds a private entry of the flow core, never re-exported here. +""" -from importlib.metadata import version -from typing import TYPE_CHECKING +from importlib.metadata import version as _version from _netgraph_core import ( MAX_FLOWS_PER_CALL, @@ -55,7 +55,6 @@ SensitivityEntry, SensitivityOptions, SensitivityResult, - SensitivityStatus, SpfOptions, SpfResult, Stretch, @@ -70,61 +69,7 @@ to_units, ) -__version__ = version("netgraph-core") - -# Provide richer type information for editors/type-checkers without affecting runtime. -# Every name here must also appear in the runtime import above; the aliases only -# change what a type checker sees. Keep this list in sync with _docs.py, and keep -# _docs.py in sync with the bindings -- a wrong stub is worse than a missing one, -# because it turns "unchecked" into "confidently wrong". -if TYPE_CHECKING: # pragma: no cover - typing-only - from ._docs import ( # noqa: I001 - MAX_FLOWS_PER_CALL as MAX_FLOWS_PER_CALL, - UNREACHABLE as UNREACHABLE, - Absolute as Absolute, - Admission as Admission, - CapacityAware as CapacityAware, - CapacityOptions as CapacityOptions, - CostOnly as CostOnly, - DagCache as DagCache, - DagCacheMiss as DagCacheMiss, - DagCacheStats as DagCacheStats, - DiminishingReturns as DiminishingReturns, - Direction as Direction, - EdgePriority as EdgePriority, - EdgeTieBreak as EdgeTieBreak, - Eligibility as Eligibility, - FlowLedger as FlowLedger, - FlowPlacement as FlowPlacement, - FlowPolicy as FlowPolicy, - FlowPolicyConfig as FlowPolicyConfig, - FlowRecord as FlowRecord, - Global as Global, - Graph as Graph, - KspOptions as KspOptions, - OutputOptions as OutputOptions, - Path as Path, - PathSelection as PathSelection, - Pinned as Pinned, - PlacementResult as PlacementResult, - PredDAG as PredDAG, - SensitivityEntry as SensitivityEntry, - SensitivityOptions as SensitivityOptions, - SensitivityResult as SensitivityResult, - SensitivityStatus as SensitivityStatus, - SpfOptions as SpfOptions, - SpfResult as SpfResult, - Stretch as Stretch, - Termination as Termination, - as_float as as_float, - batch_capacity as batch_capacity, - capacity as capacity, - ksp as ksp, - resolve_to_paths as resolve_to_paths, - sensitivity as sensitivity, - spf as spf, - to_units as to_units, - ) +__version__ = _version("netgraph-core") __all__ = [ "__version__", @@ -159,7 +104,6 @@ "DagCacheStats", "CapacityOptions", "SensitivityOptions", - "SensitivityStatus", "SensitivityEntry", "SensitivityResult", "capacity", diff --git a/python/netgraph_core/__init__.pyi b/python/netgraph_core/__init__.pyi new file mode 100644 index 0000000..2c1d290 --- /dev/null +++ b/python/netgraph_core/__init__.pyi @@ -0,0 +1,1789 @@ +# Generated from the compiled module; do not edit. +"""NetGraph-Core: graph, flow and placement models on exact integer units. + +Every public name is re-exported from the compiled ``_netgraph_core`` module, so users +import everything from here. Type checkers read the generated stub ``__init__.pyi`` next +to this file (``py.typed`` marks the package as typed). + +- The graph on integer units: ``Graph``, ``Eligibility``, ``to_units``, ``as_float``. +- Route structures: ``PredDAG``, ``Path``. +- Route selection and placement settings: ``PathSelection``, ``EdgeTieBreak``, + ``EdgePriority``, ``FlowPlacement``, ``Admission``. +- The ledger of placed traffic: ``FlowLedger`` and its ``FlowRecord`` snapshots. +- The policy engine: ``FlowPolicy``, ``FlowPolicyConfig``, the routings ``CostOnly``, + ``CapacityAware``, ``Global``, ``Pinned``, and ``PlacementResult``, ``OutputOptions``, + ``Termination``. +- The shortest-path cache: ``DagCache`` (building and frozen modes), ``DagCacheMiss``. +- The evaluators: ``capacity``, ``batch_capacity``, ``sensitivity``. +- The searches: ``spf`` (``Direction``, ``SpfOptions``, ``SpfResult``, ``UNREACHABLE``), + ``ksp`` (``KspOptions``), ``resolve_to_paths``. + +``_netgraph_core`` also holds a private entry of the flow core, never re-exported here.""" + +from __future__ import annotations + +import collections.abc +import typing + +import numpy +import numpy.typing + +__all__: list[str] = [ + "__version__", + "Graph", + "Eligibility", + "to_units", + "as_float", + "PredDAG", + "Path", + "EdgeTieBreak", + "EdgePriority", + "PathSelection", + "FlowPlacement", + "Admission", + "FlowLedger", + "FlowRecord", + "Absolute", + "Stretch", + "DiminishingReturns", + "CostOnly", + "CapacityAware", + "Global", + "Pinned", + "FlowPolicyConfig", + "OutputOptions", + "Termination", + "PlacementResult", + "FlowPolicy", + "MAX_FLOWS_PER_CALL", + "DagCache", + "DagCacheMiss", + "DagCacheStats", + "CapacityOptions", + "SensitivityOptions", + "SensitivityEntry", + "SensitivityResult", + "capacity", + "batch_capacity", + "sensitivity", + "Direction", + "SpfOptions", + "SpfResult", + "UNREACHABLE", + "spf", + "KspOptions", + "ksp", + "resolve_to_paths", +] +__version__: str + +class FlowPlacement: + """ + How one flow spreads over its route (its kernel). MAX_FLOW: the minimum-cost flow core, re-solved + on the flow's route over the free capacity plus the flow's own allocation (it may move its own + earlier placement, never another flow's). WEIGHTED (WCMP, weighted-cost multipath): every node + splits in proportion to weights fixed when the flow is created (highest averages: whole-unit + shares as close to proportional as possible). EQUAL_BALANCED (ECMP, equal-cost multipath): every + node splits equally, by round robin. + + Members: + + MAX_FLOW + + WEIGHTED + + EQUAL_BALANCED + """ + + EQUAL_BALANCED: typing.ClassVar[FlowPlacement] + MAX_FLOW: typing.ClassVar[FlowPlacement] + WEIGHTED: typing.ClassVar[FlowPlacement] + __members__: typing.ClassVar[dict[str, FlowPlacement]] + + @typing.overload + def __eq__(self, other: FlowPlacement, /) -> bool: ... + @typing.overload + def __eq__(self, other: typing.Any, /) -> bool: ... + def __getstate__(self) -> int: ... + def __hash__(self) -> int: ... + def __index__(self) -> int: ... + def __init__(self, value: typing.SupportsInt | typing.SupportsIndex) -> None: ... + def __int__(self) -> int: ... + @typing.overload + def __ne__(self, other: FlowPlacement, /) -> bool: ... + @typing.overload + def __ne__(self, other: typing.Any, /) -> bool: ... + def __repr__(self) -> str: ... + def __setstate__( + self, state: typing.SupportsInt | typing.SupportsIndex, / + ) -> None: ... + def __str__(self) -> str: ... + @property + def name(self) -> str: ... + @property + def value(self) -> int: ... + +class Admission: + """ + LOSSLESS admits only what fits; LOSSY forwards hop by hop without admission control and + drops what does not fit on each edge (EQUAL_BALANCED and WEIGHTED only). + + Members: + + LOSSLESS + + LOSSY + """ + + LOSSLESS: typing.ClassVar[Admission] + LOSSY: typing.ClassVar[Admission] + __members__: typing.ClassVar[dict[str, Admission]] + + @typing.overload + def __eq__(self, other: Admission, /) -> bool: ... + @typing.overload + def __eq__(self, other: typing.Any, /) -> bool: ... + def __getstate__(self) -> int: ... + def __hash__(self) -> int: ... + def __index__(self) -> int: ... + def __init__(self, value: typing.SupportsInt | typing.SupportsIndex) -> None: ... + def __int__(self) -> int: ... + @typing.overload + def __ne__(self, other: Admission, /) -> bool: ... + @typing.overload + def __ne__(self, other: typing.Any, /) -> bool: ... + def __repr__(self) -> str: ... + def __setstate__( + self, state: typing.SupportsInt | typing.SupportsIndex, / + ) -> None: ... + def __str__(self) -> str: ... + @property + def name(self) -> str: ... + @property + def value(self) -> int: ... + +class EdgeTieBreak: + """ + How a search breaks cost ties. Between parallel members of one (u, v) pair + (multi_edge = False): DETERMINISTIC keeps the lowest EdgeId, PREFER_HIGHER_PRIORITY the + higher priority value, then the lowest EdgeId. Between equal-cost walks (multipath = + False): PREFER_HIGHER_PRIORITY first takes the highest bottleneck (the smallest priority + value along the walk), DETERMINISTIC skips that step; then the fewest hops, then the + lexicographically smallest EdgeId sequence. + + Members: + + DETERMINISTIC + + PREFER_HIGHER_PRIORITY + """ + + DETERMINISTIC: typing.ClassVar[EdgeTieBreak] + PREFER_HIGHER_PRIORITY: typing.ClassVar[EdgeTieBreak] + __members__: typing.ClassVar[dict[str, EdgeTieBreak]] + + @typing.overload + def __eq__(self, other: EdgeTieBreak, /) -> bool: ... + @typing.overload + def __eq__(self, other: typing.Any, /) -> bool: ... + def __getstate__(self) -> int: ... + def __hash__(self) -> int: ... + def __index__(self) -> int: ... + def __init__(self, value: typing.SupportsInt | typing.SupportsIndex) -> None: ... + def __int__(self) -> int: ... + @typing.overload + def __ne__(self, other: EdgeTieBreak, /) -> bool: ... + @typing.overload + def __ne__(self, other: typing.Any, /) -> bool: ... + def __repr__(self) -> str: ... + def __setstate__( + self, state: typing.SupportsInt | typing.SupportsIndex, / + ) -> None: ... + def __str__(self) -> str: ... + @property + def name(self) -> str: ... + @property + def value(self) -> int: ... + +class EdgePriority: + """ + The per-edge value PREFER_HIGHER_PRIORITY reads and, with WEIGHTED, the value that decides which + edges a flow uses and their weights: RESIDUAL (residual units), CAPACITY (static capacity units), + HEADROOM (residual / capacity, compared exactly as a fraction; rejected with WEIGHTED). + + Members: + + RESIDUAL + + CAPACITY + + HEADROOM + """ + + CAPACITY: typing.ClassVar[EdgePriority] + HEADROOM: typing.ClassVar[EdgePriority] + RESIDUAL: typing.ClassVar[EdgePriority] + __members__: typing.ClassVar[dict[str, EdgePriority]] + + @typing.overload + def __eq__(self, other: EdgePriority, /) -> bool: ... + @typing.overload + def __eq__(self, other: typing.Any, /) -> bool: ... + def __getstate__(self) -> int: ... + def __hash__(self) -> int: ... + def __index__(self) -> int: ... + def __init__(self, value: typing.SupportsInt | typing.SupportsIndex) -> None: ... + def __int__(self) -> int: ... + @typing.overload + def __ne__(self, other: EdgePriority, /) -> bool: ... + @typing.overload + def __ne__(self, other: typing.Any, /) -> bool: ... + def __repr__(self) -> str: ... + def __setstate__( + self, state: typing.SupportsInt | typing.SupportsIndex, / + ) -> None: ... + def __str__(self) -> str: ... + @property + def name(self) -> str: ... + @property + def value(self) -> int: ... + +class Direction: + """ + The orientation of a search: FORWARD from the roots along the edges, or REVERSE toward the roots + against the edges (the DAG it returns keeps the edges' own direction, so its walks lead to the + roots). + + Members: + + FORWARD + + REVERSE + """ + + FORWARD: typing.ClassVar[Direction] + REVERSE: typing.ClassVar[Direction] + __members__: typing.ClassVar[dict[str, Direction]] + + @typing.overload + def __eq__(self, other: Direction, /) -> bool: ... + @typing.overload + def __eq__(self, other: typing.Any, /) -> bool: ... + def __getstate__(self) -> int: ... + def __hash__(self) -> int: ... + def __index__(self) -> int: ... + def __init__(self, value: typing.SupportsInt | typing.SupportsIndex) -> None: ... + def __int__(self) -> int: ... + @typing.overload + def __ne__(self, other: Direction, /) -> bool: ... + @typing.overload + def __ne__(self, other: typing.Any, /) -> bool: ... + def __repr__(self) -> str: ... + def __setstate__( + self, state: typing.SupportsInt | typing.SupportsIndex, / + ) -> None: ... + def __str__(self) -> str: ... + @property + def name(self) -> str: ... + @property + def value(self) -> int: ... + +class PathSelection: + """ + The selection of a search: tie_break and priority are explicit; multipath = True keeps + every equal-cost walk (the DAG), False the one canonical single path; multi_edge = True + keeps every eligible parallel member, False one per (u, v) pair. A tie_break or priority + outside its enumeration raises ValueError. + """ + + def __eq__(self, arg0: typing.Any) -> bool: ... + def __hash__(self) -> int: ... + def __init__( + self, + tie_break: EdgeTieBreak, + priority: EdgePriority, + multipath: bool = True, + multi_edge: bool = True, + ) -> None: ... + def __repr__(self) -> str: ... + @property + def multi_edge(self) -> bool: + """ + True: every eligible parallel member; False: one member per (u, v) pair + """ + + @property + def multipath(self) -> bool: + """ + True: every equal-cost walk (a DAG); False: the canonical single path + """ + + @property + def priority(self) -> EdgePriority: + """ + the EdgePriority + """ + + @property + def tie_break(self) -> EdgeTieBreak: + """ + the EdgeTieBreak + """ + +class Eligibility: + """ + Which nodes and edges of one graph may be used: one flag per node and per edge, fixed when built + (it does not depend on traffic). Built by Graph.eligibility(excluded_nodes, excluded_edges) and + Eligibility.intersect. + """ + + def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... + @staticmethod + def intersect(a: Eligibility, b: Eligibility) -> Eligibility: + """ + The intersection of two values of one graph (ValueError for values of different graphs): + an operand itself when the result equals it (a first, then b), otherwise a new value with a + fresh uid; equal intersections built separately get distinct uids. + """ + + def edge_allowed(self) -> numpy.typing.NDArray[numpy.bool_]: + """ + bool[E] read-only view (not excluded and both endpoints allowed) + """ + + def graph_uid(self) -> int: + """ + uid of the graph this value belongs to + """ + + def node_allowed(self) -> numpy.typing.NDArray[numpy.bool_]: + """ + bool[N] read-only view + """ + + def uid(self) -> int: + """ + 0 for the all-allowed value, a fresh uid otherwise + """ + +class Graph: + """ + Immutable directed multigraph on integer units (parallel edges and self-loops allowed). Edges are + given in input order and numbered by sorting on (src, cost, dst), ties kept in input order: that + number is the public EdgeId. input_index()[e] is the input position of edge e. Per-edge values + use EdgeId order; in_adj_edge_index() instead lists EdgeIds in incoming-slot order. Costs are + positive integers; capacities are int64 units of the explicit resolution q (a power of two in + [2^-32, 2^32]); physical capacities enter through to_units. + """ + + def __init__( + self, + num_nodes: typing.SupportsIndex, + src: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + dst: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + capacity_units: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + cost: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + resolution: typing.SupportsFloat | typing.SupportsIndex, + ) -> None: + """ + Validates, in order, and reports the first defect as ValueError: the resolution (a power of + two in [2^-32, 2^32]), the unit values (every capacity in [0, 2^62)), the array shapes, + zero or negative costs, the remaining bounds (endpoints in range, then the + capacity and cost sums below 2^62). Integers are read without narrowing, so the error + does not depend on how the input is represented. + """ + + def capacity_units(self) -> numpy.typing.NDArray[numpy.int64]: + """ + int64[E] capacities in units, id order (read-only view) + """ + + def cost(self) -> numpy.typing.NDArray[numpy.int64]: + """ + int64[E] costs, id order (read-only view) + """ + + def cost_gcd(self) -> int: + """ + gcd of the edge costs (0 without edges) + """ + + def edge_dst(self) -> numpy.typing.NDArray[numpy.int32]: + """ + int32[E] destination node per edge (read-only view) + """ + + def edge_src(self) -> numpy.typing.NDArray[numpy.int32]: + """ + int32[E] source node per edge (read-only view) + """ + + def eligibility( + self, + excluded_nodes: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] = (), + excluded_edges: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] = (), + ) -> Eligibility: + """ + Static eligibility from excluded node ids and EdgeIds (duplicates and unsorted lists + accepted, out-of-range ids rejected); an edge is allowed when it is not excluded and + both endpoints are allowed. Empty lists mean all allowed (uid 0). + """ + + def in_adj_edge_index(self) -> numpy.typing.NDArray[numpy.int32]: + """ + int32[E]: the in-edges of v in (cost, src, input) order, as EdgeIds + """ + + def in_row_offsets(self) -> numpy.typing.NDArray[numpy.int32]: + """ + int32[N + 1]: the in-edges of v are in_adj_edge_index()[in_row_offsets[v] : in_row_offsets[v + 1]] + """ + + def input_index(self) -> numpy.typing.NDArray[numpy.int32]: + """ + int32[E]: EdgeId -> input position (read-only view); build the inverse yourself if needed + """ + + def max_cost(self) -> int: + """ + largest edge cost (0 without edges) + """ + + def num_edges(self) -> int: + """ + E: EdgeIds are 0 .. E - 1 + """ + + def num_nodes(self) -> int: + """ + N: node ids are 0 .. N - 1 + """ + + def resolution(self) -> float: + """ + the resolution q (units of capacity) + """ + + def row_offsets(self) -> numpy.typing.NDArray[numpy.int32]: + """ + int32[N + 1]: the out-edges of u are the ids [row_offsets[u], row_offsets[u + 1]) + """ + + def uid(self) -> int: + """ + process-unique id (never reused) + """ + +class PredDAG: + """ + Immutable route structure of one graph, a predecessor DAG (directed, no cycle): for each node v, + the edges that reach v on the route and the node each comes from (its parent). The entries of v + are parents()[k], via_edges()[k] for k in [parent_offsets()[v], parent_offsets()[v + 1]), in + strictly ascending EdgeId, so two DAGs of the same graph with the same entries have equal arrays + and compare equal; DAGs of different graphs never compare equal. + parents() and via_edges() are read-only views that keep the DAG alive; parent_offsets() is a new + read-only array on each call (the DAG stores only the nodes that have entries). Built by + PredDAG.from_csr, Path.to_dag(), the searches and the policies (FlowRecord.bundle). + """ + + def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... + @staticmethod + def from_csr( + graph: Graph, + offsets: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + parents: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + via: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + ) -> PredDAG: + """ + Validates, in order, before any traversal (ValueError on the first defect): offsets of + length N + 1, offsets[0] == 0, monotone, offsets[N] == len(parents) == len(via); then every + parent and via in range, every via joining (parent, child), no duplicate (child, via), + acyclic; within a node the entries in ascending via EdgeId. + """ + + def __eq__(self, arg0: typing.Any) -> bool: ... + def __hash__(self) -> int: ... + def __repr__(self) -> str: ... + def graph_uid(self) -> int: + """ + uid of the graph this DAG belongs to + """ + + def parent_offsets(self) -> numpy.typing.NDArray[numpy.int32]: + """ + int32[N + 1]: the entries of node v are [parent_offsets[v], parent_offsets[v + 1]); a new read-only array per call + """ + + def parents(self) -> numpy.typing.NDArray[numpy.int32]: + """ + int32 parent NodeId per entry (read-only view) + """ + + def via_edges(self) -> numpy.typing.NDArray[numpy.int32]: + """ + int32 via EdgeId per entry (read-only view) + """ + +class Path: + """ + Immutable route of one graph, hop by hop: each hop lists one or more parallel edges (members) + from the same u to the same v, in the caller's order. cost = the sum over hops of the cost of + each hop's cheapest member. + """ + + def __eq__(self, arg0: typing.Any) -> bool: ... + def __hash__(self) -> int: ... + def __init__( + self, + graph: Graph, + hops: collections.abc.Sequence[ + collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + ] + | numpy.typing.NDArray[numpy.integer], + ) -> None: + """ + Validates, in order (ValueError on the first defect): every member id in range, no duplicate + member, a non-empty hop list, every hop non-empty, the members of a hop sharing (u, v), + contiguous hops, no repeated node. + """ + + def __repr__(self) -> str: ... + def cost(self) -> int: + """ + sum over hops of the minimum member cost + """ + + def dst(self) -> int: + """ + the last node of the walk + """ + + def graph_uid(self) -> int: + """ + uid of the graph this path belongs to + """ + + def hops(self) -> list[list[int]]: + """ + the hops as lists of EdgeIds (the caller's member order) + """ + + def src(self) -> int: + """ + the first node of the walk + """ + + def to_dag(self) -> PredDAG: + """ + the equivalent PredDAG (every member of every hop) + """ + +class FlowRecord: + """ + One flow of a ledger, as a snapshot: flow_id (ledger uid, id), owner (the policy's id), + sources, destinations, placement, admission, bundle (PredDAG: the flow's route), + route_cost (its minimum walk cost; None when empty), offered (Lossy only, else None), + delivered, edges [(EdgeId, units)] and drops [(EdgeId, units)] (cumulative, ascending + EdgeId). offered and the drops units are exact Python ints (they may exceed 64 bits). + """ + + def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... + def __repr__(self) -> str: ... + @property + def admission(self) -> Admission: + """ + LOSSLESS or LOSSY + """ + + @property + def bundle(self) -> PredDAG: + """ + the flow's route (an immutable PredDAG shared with the ledger) + """ + + @property + def delivered(self) -> int: + """ + the units the flow delivers to its destinations (its total) + """ + + @property + def destinations(self) -> list[int]: + """ + the flow's destination node ids, ascending + """ + + @property + def drops(self) -> list[tuple[int, int]]: + """ + Lossy: the units dropped per edge [(EdgeId, units)], summed over calls, positive entries in + ascending EdgeId (exact ints); empty for a Lossless flow + """ + + @property + def edges(self) -> list[tuple[int, int]]: + """ + the flow's allocation [(EdgeId, units)], positive entries in ascending EdgeId + """ + + @property + def flow_id(self) -> tuple[int, int]: + """ + (ledger uid, id): ids are assigned in creation order and never reused in the ledger + """ + + @property + def offered(self) -> int | None: + """ + Lossy: the units offered to the flow, summed over calls (an exact int, may exceed 64 bits); + None for a Lossless flow + """ + + @property + def owner(self) -> int: + """ + the ledger-local id of the policy that created the flow + """ + + @property + def placement(self) -> FlowPlacement: + """ + the FlowPlacement (kernel) that spreads the flow over its route + """ + + @property + def route_cost(self) -> int | None: + """ + the cost of the cheapest walk of the bundle from the sources to the destinations; None when + the bundle has no such walk + """ + + @property + def sources(self) -> list[int]: + """ + the flow's source node ids, ascending + """ + +class FlowLedger: + """ + The integer ledger of one graph: a baseline residual in units (replaced only by reset()) and the + records of the flows placed on it by policies (the ledger has no public placement or removal). + allocated() is the sum of every record's edges and residual() = baseline - allocated(), both + int64[E] snapshots. reset() and copy() are rejected while a policy is bound (a FlowPolicy built + on this ledger still exists). + """ + + def __copy__(self) -> FlowLedger: ... + def __deepcopy__(self, memo: typing.Any) -> FlowLedger: ... + def __init__( + self, + graph: Graph, + residual: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None = None, + ) -> None: + """ + residual: the baseline as integer units, one entry per edge in [0, capacity_units[e]] (a + physical baseline goes through to_units first); None: the capacities. ValueError otherwise. + """ + + def allocated(self) -> numpy.typing.NDArray[numpy.int64]: + """ + int64[E] snapshot: the sum of every record's edges + """ + + def bottleneck( + self, + sources: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + elig: Eligibility | None = None, + ) -> list[int]: + """ + Saturation report: the eligible edges with capacity >= 1 unit that leave the set of nodes the + allowed sources can reach (following eligible edges forward with residual >= 1 unit), in + ascending EdgeId. It ignores the destinations, so it is not a source-destination cut. + """ + + def capacity_units(self) -> numpy.typing.NDArray[numpy.int64]: + """ + int64[E] the graph's capacities in units (read-only view) + """ + + def copy(self) -> FlowLedger: + """ + a new ledger (new uid) with the same baseline and records, ids kept under the new uid; + ValueError while a policy is bound + """ + + def graph(self) -> Graph: + """ + the ledger's graph + """ + + def record( + self, flow_id: tuple[typing.SupportsIndex, typing.SupportsIndex] + ) -> FlowRecord: + """ + one record by FlowId (ValueError for a FlowId of another ledger, a retired or an unknown id) + """ + + def records(self) -> list[FlowRecord]: + """ + live records as snapshots in FlowId order: those of bound policies and orphans (records left by a + policy destroyed without remove()) + """ + + def reset( + self, + residual: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None = None, + ) -> None: + """ + A new baseline (None: the capacities); orphaned records and their allocations are cleared + and their ids retired (ids are never reused). ValueError while a policy is bound. + """ + + def residual(self) -> numpy.typing.NDArray[numpy.int64]: + """ + int64[E] snapshot: baseline - allocated + """ + + def uid(self) -> int: + """ + process-unique ledger uid (the first half of every FlowId) + """ + +class Absolute: + """ + Cost ceiling: an absolute, inclusive path-cost budget (cost >= 0). + """ + + def __eq__(self, arg0: typing.Any) -> bool: ... + def __hash__(self) -> int: ... + def __init__(self, cost: typing.SupportsIndex) -> None: + """ + Absolute(cost): a 64-bit integer budget in cost units (checked >= 0 where it is used) + """ + + def __repr__(self) -> str: ... + @property + def cost(self) -> int: + """ + the budget: a path qualifies when its cost is at most this + """ + +class Stretch: + """ + Cost ceiling: a route qualifies when its cost is at most factor times the static shortest cost + under the Eligibility; factor is in [1, inf), and the float is compared exactly, without rounding. + """ + + def __eq__(self, arg0: typing.Any) -> bool: ... + def __hash__(self) -> int: ... + def __init__(self, factor: float | numpy.floating | typing.SupportsIndex) -> None: + """ + Stretch(factor): a number, checked finite and >= 1 where it is used; a path qualifies when its + cost is at most factor times the static shortest cost. Here, an integer beyond the largest finite + float raises ValueError. + """ + + def __repr__(self) -> str: ... + @property + def factor(self) -> float: + """ + the factor as a float + """ + +class DiminishingReturns: + """ + The diminishing-returns guard of CapacityAware growth: stop once at least `window` + growth steps were accepted in the call and the last `window` gains sum below + `fraction` times the source's (finite) offer. window >= 1, fraction in (0, 1). + """ + + def __init__( + self, + window: typing.SupportsIndex, + fraction: float | numpy.floating | typing.SupportsIndex, + ) -> None: + """ + DiminishingReturns(window, fraction): a 32-bit integer and a number, checked (window >= 1, + fraction in (0, 1)) when a policy is built with them. Here, a window outside 32 bits or a fraction + that is an integer beyond the largest finite float raises ValueError. + """ + + def __repr__(self) -> str: ... + @property + def fraction(self) -> float: + """ + the share of the source's offer those steps must gain together to continue + """ + + @property + def window(self) -> int: + """ + the number of recent accepted growth steps compared + """ + +class CostOnly: + """ + Routing like IGP forwarding (OSPF, IS-IS routers): one flow per roster source on the static + shortest-path DAG (read from the DagCache; the selection is applied when the flow is created), + never refreshed, grown or reoptimised. + """ + + def __init__(self) -> None: + """ + CostOnly routing (no parameters) + """ + + def __repr__(self) -> str: ... + +class CapacityAware: + """ + Routing like distributed CSPF tunnels (each tunnel head picks its own shortest path among edges + with enough free capacity). Each source creates flow_count flows, one search at a time, on edges + with residual >= max(1, min_flow_bandwidth) units and within max_path_cost; while its offer is + unmet it adds flows up to max_flow_count (None: no ceiling). With reoptimize, a flow moves to a + new route only when it keeps its whole amount there. `diminishing` (None: off) stops adding flows + once the recent ones gain too little. + """ + + def __init__( + self, + *, + flow_count: typing.SupportsIndex = 1, + max_flow_count: typing.SupportsIndex | None = None, + max_path_cost: Absolute | Stretch | None = None, + min_flow_bandwidth: typing.SupportsIndex = 0, + reoptimize: bool = False, + diminishing: DiminishingReturns | None = None, + ) -> None: + """ + The fields are checked when a policy is built with them (flow_count >= 1, max_flow_count >= + flow_count, min_flow_bandwidth in [0, 2^62) units, the ceiling, the guard). Here, an integer field + of the wrong type or outside its integer type (32-bit flow_count and max_flow_count, 64-bit + min_flow_bandwidth) raises ValueError; a ceiling or guard of the wrong class, a reoptimize that is + not a bool, a number or None (a number or None counts by its truth value), and an unknown keyword + raise TypeError. + """ + + def __repr__(self) -> str: ... + @property + def diminishing(self) -> DiminishingReturns | None: + """ + the growth guard; None: off + """ + + @property + def flow_count(self) -> int: + """ + the flows a source creates on its first positive request + """ + + @property + def max_flow_count(self) -> int | None: + """ + the most flows growth may reach per source; None: no ceiling + """ + + @property + def max_path_cost(self) -> Absolute | Stretch | None: + """ + the inclusive route cost ceiling (Absolute or Stretch); None: no ceiling + """ + + @property + def min_flow_bandwidth(self) -> int: + """ + units in [0, 2^62): every search keeps only edges with at least max(1, this) residual units + """ + + @property + def reoptimize(self) -> bool: + """ + True: a retained flow moves to a newly found route when it keeps its whole amount there + """ + +class Global: + """ + Routing: an ideal central controller that sees the whole network. Every positive call re-solves + the minimum-cost flow of what the policy already delivers plus this call's request + (placed_demand() + volume; what an earlier call could not place is not requested again) over + the eligible graph, on the free capacity plus its own allocation (it may move its own traffic, + never another's). Placement MAX_FLOW only. A positive call on a network beyond the flow core's + int32 numbering raises ValueError (see FlowPolicy.place). + """ + + def __init__(self) -> None: + """ + Global routing (no parameters) + """ + + def __repr__(self) -> str: ... + +class Pinned: + """ + Routing on routes the caller gives: one flow per usable bundle (a PredDAG with at least one + src -> dst walk over eligible edges of at least 1 unit of capacity), in the given order; one + source and one destination. A Path converts with to_dag(). The list is copied at construction. + """ + + def __init__(self, bundles: collections.abc.Sequence[PredDAG]) -> None: + """ + Pinned(bundles): a sequence of PredDAG of one graph, copied; the policy checks them when it is + built (non-empty, no duplicates, each with a src -> dst walk) + """ + + def __repr__(self) -> str: ... + @property + def bundles(self) -> list[PredDAG]: + """ + the bundles in supply order (a new list of the shared, immutable PredDAG values) + """ + +class FlowPolicyConfig: + """ + The four explicit axes (independent settings) of a policy: routing (CostOnly, CapacityAware, + Global or Pinned), placement (FlowPlacement), admission (Admission) and selection + (PathSelection). A placement or admission outside its enumeration raises ValueError. + """ + + def __init__( + self, + *, + routing: CostOnly | CapacityAware | Global | Pinned, + placement: FlowPlacement, + admission: Admission, + selection: PathSelection, + ) -> None: ... + def __repr__(self) -> str: ... + @property + def admission(self) -> Admission: + """ + LOSSLESS or LOSSY + """ + + @property + def placement(self) -> FlowPlacement: + """ + how every flow spreads over its route (FlowPlacement) + """ + + @property + def routing(self) -> CostOnly | CapacityAware | Global | Pinned: + """ + the routing mode: CostOnly, CapacityAware, Global or Pinned + """ + + @property + def selection(self) -> PathSelection: + """ + the PathSelection the routing's searches read + """ + +class OutputOptions: + """ + Optional outputs of a placement (all false by default; absent outputs are None): + edge_flows (the policy's own allocation per edge after the call), residual and + bottleneck (the ledger's after the call); on Global, bottleneck adds min_cut. + """ + + def __init__( + self, + *, + edge_flows: bool = False, + residual: bool = False, + bottleneck: bool = False, + ) -> None: ... + @property + def bottleneck(self) -> bool: + """ + request PlacementResult.bottleneck (and min_cut on Global) + """ + + @property + def edge_flows(self) -> bool: + """ + request PlacementResult.edge_flows + """ + + @property + def residual(self) -> bool: + """ + request PlacementResult.residual + """ + +class Termination: + """ + How a call ended, per source (local_outcomes) and for the whole call (termination). + A source's offer is served when it is 0, when (LOSSLESS) the delivery equals it, or when (LOSSY, + finite offer) all of it was forwarded, drops included. A source's outcome is the first that + applies: + COMPLETE: served. + LIMIT_FLOWS: creating or adding flows was stopped by MAX_FLOWS_PER_CALL, or adding flows by a + CapacityAware max_flow_count above flow_count. + LIMIT_DIMINISHING: the diminishing guard stopped adding flows. + NO_ROUTE: the source has no flows after the call (Global: the maximum flow is 0 and nothing + was ever placed). + EXHAUSTED: any other unserved case (every flow full and no new route helps, a full fixed-size + set of flows, Global at the maximum flow, a LOSSY infinite offer). + Global and Pinned act as one source. The call's termination is COMPLETE for a request of 0 or + when every source is served, NO_ROUTE for a positive request with an empty roster, else the + highest outcome of the unserved sources in the order LIMIT_FLOWS > LIMIT_DIMINISHING > + EXHAUSTED > NO_ROUTE. + + Members: + + COMPLETE + + LIMIT_FLOWS + + LIMIT_DIMINISHING + + NO_ROUTE + + EXHAUSTED + """ + + COMPLETE: typing.ClassVar[Termination] + EXHAUSTED: typing.ClassVar[Termination] + LIMIT_DIMINISHING: typing.ClassVar[Termination] + LIMIT_FLOWS: typing.ClassVar[Termination] + NO_ROUTE: typing.ClassVar[Termination] + __members__: typing.ClassVar[dict[str, Termination]] + + @typing.overload + def __eq__(self, other: Termination, /) -> bool: ... + @typing.overload + def __eq__(self, other: typing.Any, /) -> bool: ... + def __getstate__(self) -> int: ... + def __hash__(self) -> int: ... + def __index__(self) -> int: ... + def __init__(self, value: typing.SupportsInt | typing.SupportsIndex) -> None: ... + def __int__(self) -> int: ... + @typing.overload + def __ne__(self, other: Termination, /) -> bool: ... + @typing.overload + def __ne__(self, other: typing.Any, /) -> bool: ... + def __repr__(self) -> str: ... + def __setstate__( + self, state: typing.SupportsInt | typing.SupportsIndex, / + ) -> None: ... + def __str__(self) -> str: ... + @property + def name(self) -> str: ... + @property + def value(self) -> int: ... + +class PlacementResult: + """ + One placement call: placed (units), remaining (request - placed; float('inf') for an infinite + request), termination, local_outcomes [(source, Termination)] per roster source, routes_changed, + weights_changed, and this call's drops [(EdgeId, units)]. cost_distribution: Global only, the + marginal cost curve [(cost, units)] of the policy's flow so far, else None: in ascending cost, + delivering `units` more raised the minimum total flow cost by `cost` per unit (more delivery can + reroute earlier flow, so these are not the costs of the final paths); a zero call leaves it + unchanged. Optional outputs, None unless requested: + edge_flows and residual (int64[E]), bottleneck, and min_cut (Global with bottleneck; None when the + solve did not reach the maximum flow). + """ + + def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... + def __repr__(self) -> str: ... + @property + def bottleneck(self) -> list[int] | None: + """ + if requested: the ledger's saturation report after the call (FlowLedger.bottleneck of the + policy's sources and Eligibility), else None + """ + + @property + def cost_distribution(self) -> list[tuple[int, int]] | None: + """ + Global: the marginal cost curve [(cost, units)] of the policy's cumulative flow (a zero + call reports it unchanged); None for the other routing modes + """ + + @property + def drops(self) -> list[tuple[int, int]]: + """ + this call's transit drops [(EdgeId, units)], ascending EdgeId (empty unless Lossy; records + keep the cumulative drops) + """ + + @property + def edge_flows(self) -> numpy.typing.NDArray[numpy.int64] | None: + """ + if requested: the policy's own allocation per edge after the call (int64[E], EdgeId order), + else None + """ + + @property + def local_outcomes(self) -> list[tuple[int, Termination]]: + """ + [(source, Termination)] for every roster source, ascending node id + """ + + @property + def min_cut(self) -> list[int] | None: + """ + Global with bottleneck requested: a minimum cut (edges whose removal separates the sources from + the destinations, with the smallest total capacity) of the policy's view (free capacity plus its + own allocation), when the solve reached the maximum flow; None otherwise (also on a zero call) + """ + + @property + def placed(self) -> int: + """ + the units placed by this call + """ + + @property + def remaining(self) -> int | float: + """ + the request minus placed, in units (an amount, not a status); float('inf') for an infinite request + """ + + @property + def residual(self) -> numpy.typing.NDArray[numpy.int64] | None: + """ + if requested: the ledger's residual after the call (int64[E], EdgeId order), else None + """ + + @property + def routes_changed(self) -> bool: + """ + True when this call committed a route change: a flow created (also at zero delivery), rerouted + or added, or a change in the edges a Global source's share uses; a candidate equal to the + current route is not a change + """ + + @property + def termination(self) -> Termination: + """ + the call's outcome (Termination) + """ + + @property + def weights_changed(self) -> bool: + """ + True when this call committed new weights for a rerouted WEIGHTED flow + """ + +class DagCacheStats: + """ + DagCache statistics (atomic per field, not a consistent snapshot): hits, misses, + entries, bytes (the entries' retained payload), live_values (values alive anywhere). + """ + + def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... + @property + def bytes(self) -> int: + """ + the retained payload of the entries (their DAGs' stored arrays) + """ + + @property + def entries(self) -> int: + """ + the entries held + """ + + @property + def hits(self) -> int: + """ + lookups answered from an entry (they persist across clear()) + """ + + @property + def live_values(self) -> int: + """ + the cached values alive anywhere, entries included + """ + + @property + def misses(self) -> int: + """ + lookups without an entry: a building cache searched, a frozen one raised DagCacheMiss + """ + +class DagCacheMiss(Exception): + """ + A lookup in a frozen DagCache whose key is absent: a dedicated exception (not a + RuntimeError or ValueError); the evaluators propagate it unchanged. + """ + +class DagCache: + """ + A cache of static shortest-path DAGs (from costs and the Eligibility only) for one graph, keyed by + (the root set, the direction, the Eligibility uid). It stores the full DAG and applies each + caller's selection afterwards, so the selection is never cached. CostOnly policies and the + evaluators read it. + Building mode (a new cache): one writer, no concurrent readers; a miss searches and inserts; + clear() empties it (the hit and miss counters persist), and values already handed out stay valid. + Frozen mode (freeze()): read-only and shareable by every worker; a miss counts one miss and raises + DagCacheMiss; clear() raises ValueError; thaw() returns to building once the caller has joined + every reader. + When a public call fails: a building cache passed to it keeps the complete entries and statistics + of the lookups that succeeded before the failure (never a partial entry; a kept entry never + changes a result); a frozen cache's statistics stay unchanged, except one miss when the call + raised DagCacheMiss. A frozen cache counts its hits only when the call succeeds, Python result + included. + """ + + def __init__(self, graph: Graph) -> None: + """ + An empty cache in building mode, bound to graph (by its uid). + """ + + def clear(self) -> None: + """ + empty a building cache; ValueError when frozen + """ + + def freeze(self) -> None: + """ + enter frozen mode (no effect when frozen) + """ + + def graph_uid(self) -> int: + """ + uid of the graph this cache is bound to + """ + + def stats(self) -> DagCacheStats: + """ + the current DagCacheStats (each field read atomically) + """ + + def thaw(self) -> None: + """ + return to building mode (no effect when building); join every reader first + """ + +class FlowPolicy: + """ + The placement engine for one demand, bound to its ledger at construction. place(volume, outputs) + is all-or-nothing: a failed call raises and leaves the ledger and the policy as they were (with + the two limits in the module docstring). remove() takes every flow of the policy back out and + starts a new epoch (the request total starts again from 0). A policy dropped without remove() + leaves its records in the ledger as orphans: readable, never changed again, cleared by + FlowLedger.reset(). sources and destinations are one NodeId or a sequence; the two sets must not + overlap. ValueError for invalid endpoints, configurations and requests (non-integer node ids and + requests included) and for objects of another graph, ledger or policy; TypeError for a ledger, + config, elig, cache or outputs of the wrong class (a ledger of None: ValueError) and for an + unknown keyword. + """ + + def __init__( + self, + ledger: FlowLedger, + sources: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + destinations: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + config: FlowPolicyConfig, + elig: Eligibility | None = None, + cache: DagCache | None = None, + ) -> None: + """ + Bind a policy to ledger. elig (None: everything allowed) and cache (None: none; only CostOnly + routing reads it) belong to the ledger's graph; the policy keeps the ledger, elig and cache + alive. The roster (the sources that statically reach an allowed destination) and, for Pinned, + the usable bundles are fixed here. Everything is validated before the policy binds. + """ + + def place( + self, + volume: typing.SupportsIndex | float | numpy.floating, + outputs: OutputOptions | None = None, + ) -> PlacementResult: + """ + Place volume (int units in [0, 2^62), or float('inf')) all or nothing -> PlacementResult. + Requests add up within an epoch (from construction or the last remove()); after float('inf') any + finite request is rejected, 0 included. A request of 0 places nothing. outputs (OutputOptions; + None: none) requests edge_flows, residual and bottleneck. Everything is validated before any + change; a failed call raises with the ledger and the policy unchanged. A solve of the flow core + (Global, or a MAX_FLOW flow) on a network beyond its int32 numbering raises ValueError: more than + INT32_MAX - 2 nodes, or more than 2^30 - 1 edges, sources and destinations together. + """ + + def placed_demand(self) -> int: + """ + the sum of delivered over the policy's live records + """ + + def record( + self, flow_id: tuple[typing.SupportsIndex, typing.SupportsIndex] + ) -> FlowRecord: + """ + one of the policy's live records by FlowId (ValueError for a FlowId of another ledger or policy, a + retired or an unknown id) + """ + + def records(self) -> list[FlowRecord]: + """ + the policy's live records as snapshots in FlowId order + """ + + def remove(self) -> None: + """ + revert every flow of the policy, retire the ids, open a new epoch + """ + + def usable_bundles(self) -> int: + """ + Pinned: the bundles with a src -> dst walk over eligible edges of at least 1 unit of capacity (0 + for the other modes) + """ + + @property + def config(self) -> FlowPolicyConfig: + """ + the FlowPolicyConfig the policy was built with + """ + +class CapacityOptions: + """ + The configuration, the static Eligibility (None: all allowed), the DagCache (None: + private per worker) and the optional outputs of capacity() and batch_capacity(). + """ + + def __init__( + self, + config: FlowPolicyConfig, + *, + elig: Eligibility | None = None, + cache: DagCache | None = None, + outputs: OutputOptions | None = None, + ) -> None: ... + @property + def cache(self) -> DagCache | None: + """ + the supplied DagCache; None: a private cache per worker + """ + + @property + def config(self) -> FlowPolicyConfig: + """ + the FlowPolicyConfig of every evaluated policy + """ + + @property + def elig(self) -> Eligibility | None: + """ + the static Eligibility; None: everything allowed + """ + + @property + def outputs(self) -> OutputOptions: + """ + the OutputOptions of every result + """ + +class SensitivityOptions: + """ + The configuration, Eligibility, DagCache and baseline outputs of sensitivity(). + """ + + def __init__( + self, + config: FlowPolicyConfig, + *, + elig: Eligibility | None = None, + cache: DagCache | None = None, + outputs: OutputOptions | None = None, + ) -> None: ... + @property + def cache(self) -> DagCache | None: + """ + the supplied DagCache; None: a private cache per worker + """ + + @property + def config(self) -> FlowPolicyConfig: + """ + the FlowPolicyConfig of the baseline and every deletion + """ + + @property + def elig(self) -> Eligibility | None: + """ + the static Eligibility; None: everything allowed + """ + + @property + def outputs(self) -> OutputOptions: + """ + the OutputOptions of the baseline result + """ + +class SensitivityEntry: + """ + One candidate edge: edge and loss (int units: the baseline minus the capacity without the + edge). + """ + + def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... + @property + def edge(self) -> int: ... + @property + def loss(self) -> int: ... + +class SensitivityResult: + """ + baseline (the PlacementResult of capacity()) and entries (ascending EdgeId; an + absent edge has loss 0). + """ + + def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... + @property + def baseline(self) -> PlacementResult: ... + @property + def entries(self) -> list[SensitivityEntry]: ... + +class KspOptions: + """ + The options of ksp: k (>= 1) and selection are explicit (multi_edge = True lists each parallel + edge as a separate path, False keeps one per (u, v) pair as EdgeTieBreak describes; multipath is + ignored); max_path_cost (None, Absolute(c) with c >= 0, or Stretch(f) with f finite in [1, inf) + times the static shortest cost under the Eligibility, residual ignored; inclusive); residual + (int64 units per EdgeId, each in [0, capacity_units]: edges with less than 1 unit are skipped, and + the values feed the priority); elig (None: everything allowed). The fields are validated by ksp, + in the order its docstring gives. + """ + + def __init__( + self, + k: typing.SupportsIndex, + selection: PathSelection, + *, + max_path_cost: Absolute | Stretch | None = None, + residual: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None = None, + elig: Eligibility | None = None, + ) -> None: ... + @property + def elig(self) -> Eligibility | None: + """ + the static Eligibility; None: everything allowed + """ + + @property + def k(self) -> typing.SupportsIndex: + """ + the number of paths as given (validated by ksp: an integer >= 1) + """ + + @property + def max_path_cost(self) -> Absolute | Stretch | None: + """ + the inclusive cost ceiling as given: None, Absolute or Stretch (validated by ksp) + """ + + @property + def residual( + self, + ) -> ( + collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None + ): + """ + the residual units per EdgeId as given (validated by ksp); None: static capacities, no + residual gating (edges below 1 unit of capacity are still skipped) + """ + + @property + def selection(self) -> PathSelection: + """ + the PathSelection (multipath is ignored) + """ + +class SpfOptions: + """ + The options of spf: direction and selection are explicit; targets (one NodeId or a sequence; + None: a full search) stops the search at the nearest targets (anycast: any nearest target will + do); residual (int64 units per EdgeId, each in [0, capacity_units]) makes the search skip edges + with fewer than min_residual residual units (an integer >= 1; without a residual it has no + effect) and supplies the priority values; elig (None: everything allowed). A direction outside its + enumeration raises ValueError here; the other fields are validated by spf, in the order its + docstring gives. + """ + + def __init__( + self, + direction: Direction, + selection: PathSelection, + *, + targets: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None = None, + residual: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None = None, + min_residual: typing.SupportsIndex = 1, + elig: Eligibility | None = None, + ) -> None: ... + @property + def direction(self) -> Direction: + """ + FORWARD or REVERSE + """ + + @property + def elig(self) -> Eligibility | None: + """ + the static Eligibility; None: everything allowed + """ + + @property + def min_residual(self) -> typing.SupportsIndex: + """ + the gating threshold in units as given (validated by spf: an integer >= 1) + """ + + @property + def residual( + self, + ) -> ( + collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None + ): + """ + the residual units per EdgeId as given (validated by spf); None: static capacities, no + residual gating (edges below 1 unit of capacity are still skipped) + """ + + @property + def selection(self) -> PathSelection: + """ + the PathSelection the search reads + """ + + @property + def targets( + self, + ) -> ( + typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None + ): + """ + the targets as given (validated by spf); None: a full search + """ + +class SpfResult: + """ + The result of spf: costs (full searches: a read-only int64 array, UNREACHABLE for the nodes not + reached; None with targets), dag (PredDAG of the tight edges, the edges on some shortest walk, + one per (u, v) pair with multi_edge = False, each in its own direction; with targets only the + walks between the roots and a nearest target, for REVERSE from the target to a root; for + multipath = False the canonical single path) and + target_cost (with targets: the nearest targets' cost, None when no target is reached; None for a + full search). + """ + + def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... + def __repr__(self) -> str: ... + @property + def costs(self) -> numpy.typing.NDArray[numpy.int64] | None: + """ + full search: each node's distance from the roots for FORWARD, or to the roots for REVERSE + (read-only int64[N], UNREACHABLE for nodes not reached); None with targets + """ + + @property + def dag(self) -> PredDAG: + """ + the PredDAG of the result, in the edges' original orientation + """ + + @property + def target_cost(self) -> int | None: + """ + with targets: the cost of the nearest targets, None when no target is reached; None for a + full search + """ + +@typing.overload +def as_float( + x: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + resolution: typing.SupportsFloat | typing.SupportsIndex, +) -> numpy.typing.NDArray[numpy.float64]: + """ + Units to physical value(s): x * q, correctly rounded (exact below 2^53 units). An int, of + any size, gives a float, an integer array a float64 array; a result beyond the finite + doubles raises ValueError; q must be a power of two in [2^-32, 2^32]. + """ + +@typing.overload +def as_float( + x: typing.SupportsIndex, resolution: typing.SupportsFloat | typing.SupportsIndex +) -> float: ... +def batch_capacity( + graph: Graph, + pairs: collections.abc.Sequence[ + collections.abc.Sequence[ + typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + ] + | numpy.typing.NDArray[numpy.integer] + ] + | numpy.typing.NDArray[numpy.integer], + opts: CapacityOptions, + per_pair_elig: collections.abc.Sequence[Eligibility | None] | None = None, + workers: typing.SupportsIndex | None = None, +) -> list[PlacementResult]: + """ + capacity() for each (sources, destinations) pair, results in pair order. Pair i uses opts.elig + intersected with per_pair_elig[i] (None entries allowed; a given sequence has one entry per pair, + also when empty). workers >= 1; None: NGRAPH_CORE_BATCH_THREADS or 1, and 1 when a cache is + supplied. Everything is validated before a worker starts, the arguments first, then each pair + completely in pair order, so the error of the lowest failing pair is raised. Pinned is rejected; + an empty batch returns []. + Caches: a supplied building cache needs workers == 1; a frozen cache is shared by every worker + (pass workers explicitly), and its DagCacheMiss reaches the caller unchanged (the lowest failing + pair's). An intersection that differs from both operands gets a new Eligibility uid, which a + frozen cache cannot hold: pass the combined per-pair values with elig None, or a common value + that contains them. + A failed call raises; a supplied DagCache then behaves as the DagCache docstring states. + """ + +def capacity( + graph: Graph, + sources: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + destinations: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + opts: CapacityOptions, +) -> PlacementResult: + """ + place(+inf) of a FlowPolicy with opts.config on a fresh ledger of the graph -> PlacementResult. + The exact maximum flow is the Global + MAX_FLOW configuration. A supplied frozen cache raises + DagCacheMiss for an absent key, unchanged. + A failed call raises; a supplied DagCache then behaves as the DagCache docstring states. + """ + +def ksp( + graph: Graph, src: typing.SupportsIndex, dst: typing.SupportsIndex, opts: KspOptions +) -> list[tuple[int, Path]]: + """ + The k shortest simple src -> dst paths over the eligible edges of at least 1 unit, as the options + further limit them -> [(cost, Path)], each hop a single edge. Order: lowest cost; then, under + PREFER_HIGHER_PRIORITY only, highest bottleneck (the smallest priority value along the path); then + fewest hops; then the smallest EdgeId sequence. The result is the first k paths of that order + within the inclusive cost ceiling. Validated in this order before any work (ValueError): src and + dst in range, src == dst, k >= 1, the ceiling, the residual (length, then every entry), a foreign + Eligibility. An excluded endpoint, no static route under Stretch, or no path gives []. + """ + +def resolve_to_paths( + graph: Graph, + dag: PredDAG, + src: typing.SupportsIndex, + dst: typing.SupportsIndex, + split_parallel_edges: bool = False, + max_paths: typing.SupportsIndex | None = None, +) -> list[Path]: + """ + The src -> dst walks of a DAG -> [Path], in increasing (cost, hops, edge-id sequence): + a hop costs its cheapest member and is keyed by its lowest member id. split_parallel_edges = False + keeps every parallel member of a (u, v) pair in one hop (members ascending); True gives one path + per member combination, sorted by that path's own (cost, hops, edge-id sequence). max_paths + (>= 1) truncates; None lists every walk. + ValueError: a DAG of another graph, src or dst out of range, src == dst, max_paths < 1. An + endpoint outside the DAG, or no walk, gives []. + """ + +def sensitivity( + graph: Graph, + sources: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + destinations: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + opts: SensitivityOptions, + workers: typing.SupportsIndex | None = None, +) -> SensitivityResult: + """ + The baseline capacity() and one SensitivityEntry per candidate edge. Candidates: with Global, the + edges that carry flow in the baseline (removing any other edge cannot lower a maximum flow); with + the other routings, every allowed edge of at least 1 unit. loss = baseline.placed minus the placed + of capacity() without the edge, in signed units, never thresholded. Two shortcuts give exactly + that value: Global repairs a copy of the baseline's solve instead of solving again, and CostOnly + gives loss 0 without placing to an edge outside the static shortest-path support reachable from + the roster sources (no route can use it). workers as batch_capacity + (NGRAPH_CORE_SENSITIVITY_THREADS). Only CostOnly reads the cache, and each placed deletion uses a + new Eligibility uid, so a frozen cache raises DagCacheMiss there. + A failed deletion fails the call (the lowest failing candidate's exception, no partial result); a + supplied DagCache then behaves as the DagCache docstring states. + """ + +def spf( + graph: Graph, + roots: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + opts: SpfOptions, +) -> SpfResult: + """ + Shortest paths from the roots for FORWARD, or to the roots for REVERSE (one NodeId or a sequence; + every root at distance 0), over the eligible edges of at least 1 unit of capacity (and of residual + >= min_residual with a residual) -> SpfResult. Without targets every reachable node gets its + distance: costs and the full DAG of tight edges (the edges on some shortest walk; one per (u, v) + pair with multi_edge = False). With targets the search stops at the nearest targets' cost: + target_cost and the DAG of the walks between the roots and a nearest target (for REVERSE, from + the target to a root, in the edges' own direction); + with multipath = False, instead the canonical single path, the walk minimising (cost, -bottleneck + under PREFER_HIGHER_PRIORITY, hops, EdgeId sequence). Validated in this order before any work + (ValueError): the roots (non-empty, ids in range), the targets (the same), a node in both sets, + multipath = False without targets, the residual (length, then every entry in [0, capacity_units]), + min_residual >= 1, a foreign Eligibility. Excluded roots and targets are skipped; all roots + excluded gives an empty result. + """ + +@typing.overload +def to_units( + x: float | numpy.floating | numpy.integer, + resolution: typing.SupportsFloat | typing.SupportsIndex, +) -> int: + """ + Physical value(s) to units of the resolution q, rounding half up: an int for a scalar, an + int64 array for an array. NaN, infinity, negative values and results at or above 2^62 + units raise ValueError; q must be a power of two in [2^-32, 2^32]. + """ + +@typing.overload +def to_units( + x: collections.abc.Sequence[float | numpy.floating | numpy.integer] + | numpy.typing.NDArray[numpy.floating | numpy.integer], + resolution: typing.SupportsFloat | typing.SupportsIndex, +) -> numpy.typing.NDArray[numpy.int64]: ... + +MAX_FLOWS_PER_CALL: int = 10000 +UNREACHABLE: int = 9223372036854775807 diff --git a/python/netgraph_core/_docs.py b/python/netgraph_core/_docs.py deleted file mode 100644 index 3a6e8e2..0000000 --- a/python/netgraph_core/_docs.py +++ /dev/null @@ -1,1191 +0,0 @@ -"""Typing and docstrings for netgraph_core public API. - -This module is intentionally light; runtime implementations live in the -compiled extension. The goal is to provide type hints and help text. - -Every public call is all-or-nothing up to its caller (APPROACH 13), with two limits: (1) the -pybind11 object machinery is outside the guarantee: constructing a bound object from Python, -or reading an attribute or method value converted into a new bound object or container outside -the staged calls, allocates through pybind11's ``make_new_instance``, which does not check the -result of ``tp_alloc``, so a Python allocation failure at that point crashes the process, with -Core state unchanged; (2) a supplied building DagCache is a memo: it keeps the complete entries -and statistics of the lookups that succeeded before a later failure of the call. A frozen -DagCache's statistics are part of the guarantee: a failed call changes none of them, except one -miss when it raises ``DagCacheMiss``. - -This hand-written shim is the package's type declaration until Phase 5, which replaces it by -generated ``.pyi`` stubs (pybind11-stubgen, APPROACH 13) with their override file and drift check. -""" - -from __future__ import annotations - -from typing import TYPE_CHECKING, ClassVar, Sequence, overload - -if TYPE_CHECKING: # only for typing; runtime comes from extension - import numpy as np # type: ignore[reportMissingImports] - # Use forward references (strings) below; avoid importing from the package - # to prevent circular imports during type checking. - - -@overload -def to_units(x: float, resolution: float) -> int: ... -@overload -def to_units(x: "Sequence[float] | np.ndarray", resolution: float) -> "np.ndarray": ... -def to_units(x, resolution): # type: ignore[no-untyped-def] - """Convert physical value(s) to integer units of the resolution, rounding half up. - - The only way physical numbers enter Core: ``to_units(x, q) = floor(x / q + 1/2)``. - - Args: - x: A physical float, or a 1-D array of them. - resolution: The unit ``q``, a power of two in ``[2**-32, 2**32]``. - - Returns: - An ``int`` for a scalar, an ``int64`` array for an array. - - Raises: - ValueError: an invalid resolution (checked first, also for an empty array); - NaN, infinity or a negative value (no unit value); a result at or above - ``2**62`` units (the domain bound). - """ - ... - - -@overload -def as_float(x: int, resolution: float) -> float: ... -@overload -def as_float(x: "Sequence[int] | np.ndarray", resolution: float) -> "np.ndarray": ... -def as_float(x, resolution): # type: ignore[no-untyped-def] - """Convert integer units to physical value(s): ``x * q``, correctly rounded. - - Exact below ``2**53`` units. Returns a ``float`` for an int of any size and a - ``float64`` array for an integer array or sequence. The resolution is validated first - (also for an empty array); a result beyond the finite doubles raises ValueError. - """ - ... - - -class Eligibility: - """Immutable, graph-bound static eligibility: dense node and edge flags. - - Built by ``Graph.eligibility(excluded_nodes, excluded_edges)``. An - edge is allowed when it is not excluded and both of its endpoints are allowed. - Passing it to a call of another graph raises ValueError. - """ - - def graph_uid(self) -> int: - """uid of the graph this value belongs to.""" - ... - - def uid(self) -> int: - """0 for the all-allowed value, a fresh uid otherwise.""" - ... - - def node_allowed(self) -> "np.ndarray": - """bool[N] read-only view.""" - ... - - def edge_allowed(self) -> "np.ndarray": - """bool[E] read-only view.""" - ... - - @staticmethod - def intersect(a: "Eligibility", b: "Eligibility") -> "Eligibility": - """The intersection of two values of one graph (ValueError for different graphs). - - Returns an operand itself when the result equals it (``a`` first, then ``b``), - otherwise a new value with a fresh uid; equal intersections built separately get - distinct uids, so a consumer builds each state once and reuses it. - """ - ... - - -class Graph: - """Immutable directed multigraph on integer units (layout B'). - - Edges are given in input order. The public EdgeId of an edge is its rank in the - stable order ``(src, cost, dst, input)``: the out-edges of node ``u`` are the ids - ``[row_offsets()[u], row_offsets()[u + 1])``, and ``input_index()[e]`` is the input - position of edge ``e`` (the inverse permutation is the caller's). Every other - per-edge array is in id order. Accessors return read-only NumPy views that keep the - graph alive. - - Construction uses stable counting passes, not comparison sorts: expected time is - linear in ``E + N`` while the number of distinct costs is bounded, and at most - ``O(N + E log(E + 1))`` in the worst case (more than 65,536 distinct costs, or - costs that collide too often in the hash table, fall back to one sort of all - costs). A graph without edges costs only validation and its two offset arrays. The - graph keeps ``36 E + 8 (N + 1)`` bytes of arrays: the eight views plus an internal - copy of each reverse slot's source node, which the reverse search reads. - """ - - def __init__( - self, - num_nodes: int, - src: "Sequence[int] | np.ndarray", - dst: "Sequence[int] | np.ndarray", - capacity_units: "Sequence[int] | np.ndarray", - cost: "Sequence[int] | np.ndarray", - resolution: float, - ) -> None: - """Build a graph from parallel edge arrays in input order. - - Args: - num_nodes: Node count; every src/dst must lie in ``[0, num_nodes)``. - src: Source node ids (integers). - dst: Destination node ids (integers). - capacity_units: Capacities as integer units of ``resolution``, each in - ``[0, 2**62)``; physical capacities go through ``to_units`` first. - cost: Positive integer costs (``cost >= 1``). - resolution: The unit ``q``, a power of two in ``[2**-32, 2**32]``. - - Raises: - ValueError: On the first defect, in this order: the resolution, the unit - values, the array shapes, zero or negative costs, the remaining bounds - (endpoints in range, then the capacity and cost sums below ``2**62``). - Integers are read without narrowing, so the reported defect does not - depend on how the input is represented; floats or bools in an integer - array are rejected, never truncated. - """ - ... - - def uid(self) -> int: - """Process-unique id, never reused.""" - ... - - def resolution(self) -> float: ... - def num_nodes(self) -> int: ... - def num_edges(self) -> int: ... - def max_cost(self) -> int: - """Largest edge cost (0 for a graph without edges).""" - ... - - def cost_gcd(self) -> int: - """Greatest common divisor of all edge costs (0 for a graph without edges).""" - ... - - def capacity_units(self) -> "np.ndarray": - """int64[E] capacities in units, id order.""" - ... - - def cost(self) -> "np.ndarray": - """int64[E] costs, id order.""" - ... - - def edge_src(self) -> "np.ndarray": - """int32[E] source node per edge.""" - ... - - def edge_dst(self) -> "np.ndarray": - """int32[E] destination node per edge.""" - ... - - def input_index(self) -> "np.ndarray": - """int32[E]: id -> input position.""" - ... - - def row_offsets(self) -> "np.ndarray": - """int32[N + 1] forward CSR offsets (id ranges of the out-edges).""" - ... - - def in_row_offsets(self) -> "np.ndarray": - """int32[N + 1] reverse CSR offsets.""" - ... - - def in_adj_edge_index(self) -> "np.ndarray": - """int32[E] in-edges per node in (cost, src, input) order, as EdgeIds.""" - ... - - def eligibility( - self, - excluded_nodes: "Sequence[int] | np.ndarray" = (), - excluded_edges: "Sequence[int] | np.ndarray" = (), - ) -> Eligibility: - """Static eligibility from excluded node ids and EdgeIds. - - Duplicates and unsorted lists are accepted; out-of-range ids raise ValueError. - Empty lists mean all allowed (uid 0). - """ - ... - - -class EdgeTieBreak: - """Ties between equal-cost candidates, at both tie levels (parallel members and walks; - APPROACH 6). - - ``DETERMINISTIC`` takes the lowest EdgeId and ignores capacities; - ``PREFER_HIGHER_PRIORITY`` prefers the higher ``priority`` value first. - """ - - DETERMINISTIC: ClassVar["EdgeTieBreak"] - PREFER_HIGHER_PRIORITY: ClassVar["EdgeTieBreak"] - __members__: ClassVar[dict[str, "EdgeTieBreak"]] - - def __init__(self, value: int) -> None: ... - def __int__(self) -> int: ... - def __index__(self) -> int: ... - @property - def name(self) -> str: ... - @property - def value(self) -> int: ... - - -class EdgePriority: - """The per-edge value ``PREFER_HIGHER_PRIORITY`` reads, and the Weighted kernel's - membership and weights (APPROACH 6, 7): ``RESIDUAL`` (residual units), ``CAPACITY`` (static capacity - units), ``HEADROOM`` (the exact rational residual / capacity; rejected with WEIGHTED). - A search given no residual reads static capacities for every priority.""" - - RESIDUAL: ClassVar["EdgePriority"] - CAPACITY: ClassVar["EdgePriority"] - HEADROOM: ClassVar["EdgePriority"] - __members__: ClassVar[dict[str, "EdgePriority"]] - - def __init__(self, value: int) -> None: ... - def __int__(self) -> int: ... - def __index__(self) -> int: ... - @property - def name(self) -> str: ... - @property - def value(self) -> int: ... - - -class Direction: - """The orientation of a search (APPROACH 6): ``FORWARD`` from the roots, or ``REVERSE`` - rooted at the roots over reversed arcs. A reverse search returns the forward-oriented DAG - of the walks toward its roots.""" - - FORWARD: ClassVar["Direction"] - REVERSE: ClassVar["Direction"] - __members__: ClassVar[dict[str, "Direction"]] - - def __init__(self, value: int) -> None: ... - def __int__(self) -> int: ... - def __index__(self) -> int: ... - @property - def name(self) -> str: ... - @property - def value(self) -> int: ... - - -class FlowPlacement: - """The kernel of one flow (APPROACH 7). - - ``MAX_FLOW``: the minimum-cost flow core on the flow's split graph, a replacement on - ``V = W + own`` (its own allocation cancellable, other owners never). ``WEIGHTED``: - hop-by-hop WCMP, highest-averages apportionment over weights frozen at creation. - ``EQUAL_BALANCED``: ECMP, round robin at every node. - """ - - MAX_FLOW: ClassVar["FlowPlacement"] - WEIGHTED: ClassVar["FlowPlacement"] - EQUAL_BALANCED: ClassVar["FlowPlacement"] - __members__: ClassVar[dict[str, "FlowPlacement"]] - - def __init__(self, value: int) -> None: ... - def __int__(self) -> int: ... - def __index__(self) -> int: ... - @property - def name(self) -> str: ... - @property - def value(self) -> int: ... - - -class Admission: - """``LOSSLESS`` admits only what fits; ``LOSSY`` forwards hop by hop without admission - control and drops what does not fit on each edge (EQUAL_BALANCED and WEIGHTED only).""" - - LOSSLESS: ClassVar["Admission"] - LOSSY: ClassVar["Admission"] - __members__: ClassVar[dict[str, "Admission"]] - - def __init__(self, value: int) -> None: ... - def __int__(self) -> int: ... - def __index__(self) -> int: ... - @property - def name(self) -> str: ... - @property - def value(self) -> int: ... - - -class PathSelection: - """The selection of a search (APPROACH 6). - - ``tie_break`` and ``priority`` are explicit; ``multipath = True`` keeps every equal-cost - walk (the DAG), ``False`` the one canonical single path; ``multi_edge = True`` keeps every - eligible parallel member, ``False`` one per ``(u, v)`` pair (minimum cost, then the - priority under PREFER_HIGHER_PRIORITY, then the lowest EdgeId). Immutable value; a - ``tie_break`` or ``priority`` outside its enumeration raises ValueError. - """ - - def __init__( - self, - tie_break: EdgeTieBreak, - priority: EdgePriority, - multipath: bool = True, - multi_edge: bool = True, - ) -> None: ... - @property - def tie_break(self) -> EdgeTieBreak: ... - @property - def priority(self) -> EdgePriority: ... - @property - def multipath(self) -> bool: ... - @property - def multi_edge(self) -> bool: ... - - -class PredDAG: - """Immutable, graph-bound predecessor DAG (APPROACH 5). - - The entries of node ``v`` are ``parents()[k]``, ``via_edges()[k]`` for ``k`` in - ``[parent_offsets()[v], parent_offsets()[v + 1])``: the edge ``via`` joins - ``parent -> v``. Within a node the entries are in strictly ascending via EdgeId (one - canonical form). Equality is structural. ``parents()`` and ``via_edges()`` are read-only - NumPy views that keep the DAG alive; ``parent_offsets()`` is a fresh read-only array that - owns its data, built on demand (the DAG is stored over its member nodes only). A DAG of - another graph is rejected wherever it is used. - """ - - @staticmethod - def from_csr( - graph: Graph, - offsets: "Sequence[int] | np.ndarray", - parents: "Sequence[int] | np.ndarray", - via: "Sequence[int] | np.ndarray", - ) -> "PredDAG": - """Build a DAG from its CSR, validated before any traversal. - - Raises: - ValueError: On the first defect, in this order: offsets of length N + 1, - ``offsets[0] == 0``, monotone, ``offsets[N] == len(parents) == len(via)``; - every parent and via in range, every via joining ``(parent, child)``, no - duplicate ``(child, via)``, acyclic; within a node the entries in ascending - via EdgeId. - """ - ... - - def graph_uid(self) -> int: - """uid of the graph this DAG belongs to.""" - ... - - def parent_offsets(self) -> "np.ndarray": - """int32[N + 1] CSR offsets, a fresh read-only array built on demand.""" - ... - - def parents(self) -> "np.ndarray": - """int32 parent NodeId per entry.""" - ... - - def via_edges(self) -> "np.ndarray": - """int32 via EdgeId per entry.""" - ... - - -class Path: - """Immutable, graph-bound explicit walk (APPROACH 5). - - ``hops`` lists, per hop, one or more parallel members of one ``(u, v)`` pair (the - caller's member order is kept); ``cost`` is the sum over hops of the minimum member - cost. ``to_dag()`` gives the equivalent ``PredDAG``. - """ - - def __init__(self, graph: Graph, hops: "Sequence[Sequence[int]]") -> None: - """Validate and build the walk. - - Raises: - ValueError: On the first defect, in this order: every member id in range, - no duplicate member, a non-empty hop list, every hop non-empty, the - members of a hop sharing ``(u, v)``, contiguous hops, no repeated node. - """ - ... - - def graph_uid(self) -> int: ... - def hops(self) -> list[list[int]]: ... - def src(self) -> int: ... - def dst(self) -> int: ... - def cost(self) -> int: ... - def to_dag(self) -> PredDAG: ... - - -class FlowRecord: - """One flow of a ledger, as a snapshot (APPROACH 8). - - ``flow_id`` is ``(ledger uid, id)``; ``owner`` the id of the policy that placed it; - ``bundle`` the flow's route; ``route_cost`` its minimum walk cost (``None`` for an empty - route); ``offered`` exists on Lossy records only (``None`` otherwise); ``edges`` and - ``drops`` are ``(EdgeId, units)`` pairs in ascending EdgeId (drops cumulative over - calls). Counters are exact ints and may exceed 64 bits. - """ - - @property - def flow_id(self) -> tuple[int, int]: ... - @property - def owner(self) -> int: ... - @property - def sources(self) -> list[int]: ... - @property - def destinations(self) -> list[int]: ... - @property - def placement(self) -> FlowPlacement: ... - @property - def admission(self) -> Admission: ... - @property - def bundle(self) -> PredDAG: ... - @property - def route_cost(self) -> int | None: ... - @property - def offered(self) -> int | None: ... - @property - def delivered(self) -> int: ... - @property - def edges(self) -> list[tuple[int, int]]: ... - @property - def drops(self) -> list[tuple[int, int]]: ... - - -class FlowLedger: - """The integer ledger of one graph (APPROACH 8). - - An immutable baseline residual in units and the records of the flows placed on it by - policies; the ledger has no public placement, removal or reservation. ``allocated()`` - is the sum of every record's edges and ``residual() = baseline - allocated()``, both - ``int64[E]`` snapshots in EdgeId order. ``reset()`` and ``copy()`` are rejected while a - policy is bound. A policy destroyed without ``remove()`` leaves its records as - orphans (readable, never changed again) until ``reset()``. - """ - - def __init__( - self, - graph: Graph, - residual: "Sequence[int] | np.ndarray | None" = None, - ) -> None: - """Bind a ledger to ``graph``. - - Args: - graph: The graph (kept alive by the ledger). - residual: The baseline as integer units, one entry per edge in - ``[0, capacity_units[e]]`` (a physical baseline goes through ``to_units``); - ``None``: the capacities. - - Raises: - ValueError: a baseline of the wrong length, a non-integer entry, or an entry - outside ``[0, capacity_units[e]]``. - """ - ... - - def uid(self) -> int: - """Process-unique ledger uid (the first half of every FlowId).""" - ... - - def graph(self) -> Graph: ... - def capacity_units(self) -> "np.ndarray": - """int64[E] the graph's capacities in units (read-only view).""" - ... - - def residual(self) -> "np.ndarray": - """int64[E] snapshot: baseline - allocated.""" - ... - - def allocated(self) -> "np.ndarray": - """int64[E] snapshot: the sum of every record's edges.""" - ... - - def records(self) -> list[FlowRecord]: - """Live records (bound and orphaned) as snapshots in FlowId order.""" - ... - - def record(self, flow_id: tuple[int, int]) -> FlowRecord: - """One record; ValueError for a FlowId of another ledger, a retired or an unknown id.""" - ... - - def bottleneck( - self, sources: "int | Sequence[int]", elig: Eligibility | None = None - ) -> list[int]: - """Saturation diagnostic, ascending EdgeId (not a cut). - - The edges (statically eligible, capacity >= 1 unit) leaving the set reachable - from the allowed sources over eligible forward arcs with residual >= 1 unit. - """ - ... - - def reset(self, residual: "Sequence[int] | np.ndarray | None" = None) -> None: - """A new baseline (``None``: the capacities); orphans cleared, ids retired. - - Raises: - ValueError: while a policy is bound; an invalid baseline. - """ - ... - - def copy(self) -> "FlowLedger": - """A new ledger (new uid) with the same baseline and records (ids kept under the - new uid); ValueError while a policy is bound.""" - ... - - -# ---------------------------------------------------------------------------- policies - -MAX_FLOWS_PER_CALL: int -"""The call-wide CapacityAware creation cap, 10,000: the flows one ``place`` call may create -(creation and accepted growth, across sources) before it stops with ``LIMIT_FLOWS``. An engine -constant (C++ ``kMaxFlowsPerCall``); not a limit on any mode's existing flow count.""" - - -class Absolute: - """CostCeiling: an absolute, inclusive path-cost budget (``cost >= 0``).""" - - def __init__(self, cost: int) -> None: ... - @property - def cost(self) -> int: ... - - -class Stretch: - """CostCeiling: a factor in ``[1, inf)`` of the static shortest cost under the policy's - Eligibility, read as the exact dyadic rational it is (compared without rounding).""" - - def __init__(self, factor: float) -> None: ... - @property - def factor(self) -> float: ... - - -class DiminishingReturns: - """The diminishing-returns guard of CapacityAware growth. - - Growth stops once at least ``window`` steps were accepted in the call and the last - ``window`` gains sum below ``fraction`` times the source's (finite) offer - (``limit_diminishing``). ``window >= 1``, ``fraction`` in ``(0, 1)``. - """ - - def __init__(self, window: int, fraction: float) -> None: ... - @property - def window(self) -> int: ... - @property - def fraction(self) -> float: ... - - -class CostOnly: - """Routing: IGP forwarding. One flow per roster source on the static shortest-path DAG - (the DagCache value of the destination set; selection projected at creation on the - working residual), never refreshed, grown or reoptimised.""" - - def __init__(self) -> None: ... - - -class CapacityAware: - """Routing: distributed CSPF tunnels (APPROACH 9.1, 9.2). - - ``flow_count`` flows are created by the canonical search of section 6 on the selection - view (residual >= ``max(1, min_flow_bandwidth)`` units, the ``max_path_cost`` ceiling), - then grown up to ``max_flow_count`` (``None``: no ceiling); ``reoptimize`` reroutes - retained flows (adopted only when the candidate delivers the flow's amount); - ``diminishing`` guards growth (``None``: off). Fields are keyword-only. - """ - - def __init__( - self, - *, - flow_count: int = 1, - max_flow_count: int | None = None, - max_path_cost: "Absolute | Stretch | None" = None, - min_flow_bandwidth: int = 0, - reoptimize: bool = False, - diminishing: DiminishingReturns | None = None, - ) -> None: ... - @property - def flow_count(self) -> int: ... - @property - def max_flow_count(self) -> int | None: ... - @property - def max_path_cost(self) -> "Absolute | Stretch | None": ... - @property - def min_flow_bandwidth(self) -> int: ... - @property - def reoptimize(self) -> bool: ... - @property - def diminishing(self) -> DiminishingReturns | None: ... - - -class Global: - """Routing: the omniscient controller. Every call re-solves the minimum-cost flow of the - cumulative value over the whole eligible graph on ``V = W + own`` (placement MaxFlow - only); records are the canonical per-source decomposition.""" - - def __init__(self) -> None: ... - - -class Pinned: - """Routing: explicit route structures, one flow per usable bundle in supply order - (single endpoints). A ``Path`` converts with ``to_dag()``.""" - - def __init__(self, bundles: "Sequence[PredDAG]") -> None: ... - @property - def bundles(self) -> list[PredDAG]: ... - - -class FlowPolicyConfig: - """The four explicit axes of a policy (keyword-only, no defaults). - - ``Global`` and ``Pinned`` read ``selection.priority`` only for the Weighted kernel and - ignore the rest; ``CostOnly`` and ``CapacityAware`` read every field. A ``placement`` or - ``admission`` outside its enumeration raises ValueError; a routing of another type, - TypeError. - """ - - def __init__( - self, - *, - routing: "CostOnly | CapacityAware | Global | Pinned", - placement: FlowPlacement, - admission: Admission, - selection: PathSelection, - ) -> None: ... - @property - def routing(self) -> "CostOnly | CapacityAware | Global | Pinned": ... - @property - def placement(self) -> FlowPlacement: ... - @property - def admission(self) -> Admission: ... - @property - def selection(self) -> PathSelection: ... - - -class OutputOptions: - """Optional outputs of a placement (absent outputs are ``None``): ``edge_flows`` (the - policy's own allocation per edge after the call), ``residual`` and ``bottleneck`` (the - ledger's after the call); on Global, ``bottleneck`` adds ``min_cut``.""" - - def __init__( - self, - *, - edge_flows: bool = False, - residual: bool = False, - bottleneck: bool = False, - ) -> None: ... - @property - def edge_flows(self) -> bool: ... - @property - def residual(self) -> bool: ... - @property - def bottleneck(self) -> bool: ... - - -class Termination: - """A source's local outcome and a call's termination (APPROACH 9.4). - - The reduction over the sources whose offer is unserved: none ``COMPLETE``, else the - highest of ``LIMIT_FLOWS > LIMIT_DIMINISHING > EXHAUSTED > NO_ROUTE``. - """ - - COMPLETE: ClassVar["Termination"] - LIMIT_FLOWS: ClassVar["Termination"] - LIMIT_DIMINISHING: ClassVar["Termination"] - NO_ROUTE: ClassVar["Termination"] - EXHAUSTED: ClassVar["Termination"] - __members__: ClassVar[dict[str, "Termination"]] - - def __init__(self, value: int) -> None: ... - def __int__(self) -> int: ... - def __index__(self) -> int: ... - @property - def name(self) -> str: ... - @property - def value(self) -> int: ... - - -class PlacementResult: - """One placement call (the deltas of this call). - - ``placed`` and ``remaining = request - placed`` (``float('inf')`` for ``+inf``) in - units; ``termination`` and ``local_outcomes`` (one ``(source, Termination)`` per roster - source, ascending); ``routes_changed`` and ``weights_changed`` (committed events of the - call, the flag table of 9.4); ``drops`` (this call's transit drops); Global adds - ``cost_distribution``, the marginal curve of the policy's cumulative flow (its amounts sum - to ``placed_demand()``; a zero call reports it unchanged, ``[]`` before the first - placement and after ``remove()``). ``edge_flows``, ``residual``, ``bottleneck`` and - (Global) ``min_cut`` exist when requested through ``OutputOptions``; ``min_cut`` is ``None`` - when the solve was not maximal on its view, and on a zero call (nothing is solved). - """ - - @property - def placed(self) -> int: ... - @property - def remaining(self) -> "int | float": ... - @property - def termination(self) -> Termination: ... - @property - def local_outcomes(self) -> list[tuple[int, Termination]]: ... - @property - def routes_changed(self) -> bool: ... - @property - def weights_changed(self) -> bool: ... - @property - def drops(self) -> list[tuple[int, int]]: ... - @property - def cost_distribution(self) -> list[tuple[int, int]] | None: ... - @property - def edge_flows(self) -> "np.ndarray | None": ... - @property - def residual(self) -> "np.ndarray | None": ... - @property - def bottleneck(self) -> list[int] | None: ... - @property - def min_cut(self) -> list[int] | None: ... - - -class DagCacheStats: - """DagCache statistics, atomic per field (not a consistent snapshot): ``hits``, - ``misses``, ``entries``, ``bytes`` (the entries' retained payload) and - ``live_values`` (values alive anywhere, entries included).""" - - @property - def hits(self) -> int: ... - @property - def misses(self) -> int: ... - @property - def entries(self) -> int: ... - @property - def bytes(self) -> int: ... - @property - def live_values(self) -> int: ... - - -class DagCacheMiss(Exception): - """A lookup in a frozen DagCache whose key is absent (APPROACH 10). - - A dedicated exception (neither a RuntimeError nor a ValueError): every evaluator - propagates it unchanged, never as a sensitivity status. A frozen cache never searches, - so a miss means the caller did not prepopulate that (roots, direction, Eligibility uid). - """ - - -class DagCache: - """A cache of static shortest-path supports bound to one graph (APPROACH 10). - - Keyed ``(roots as a set, direction, Eligibility uid)``; the value is the full static - support (``multipath``, ``multi_edge``, no residual) as an immutable shared value, valid - after ``clear()`` and after the cache is gone. Selection is projected at creation, never - cached. - - Building mode (a new cache): one writer, no concurrent readers; a miss searches and - inserts; a supplied building cache needs ``workers == 1``. Frozen mode (``freeze()``): - read-only, shareable by every worker; a miss counts one miss and raises - ``DagCacheMiss``; ``clear()`` raises ValueError; ``freeze()`` again has no effect; - ``thaw()`` returns to building mode once the caller has joined every reader. A per-pair - or per-candidate Eligibility built inside a batch or a sensitivity has a new uid, so - its key is absent from a frozen cache unless the intersection returned a prepopulated - operand. - - A supplied building cache is a memo (APPROACH 13, limit 2): a public call that fails - keeps the complete entries and statistics of the lookups that succeeded before; it never - holds a partial entry, held values stay valid, and a retained entry never changes a - result. A frozen cache's statistics follow the public call that reads it (a policy - constructor, an evaluator): its hits count when the call succeeds, its Python result - included; a failed call changes no statistic, except that a call raising - ``DagCacheMiss`` counts one miss. - """ - - def __init__(self, graph: Graph) -> None: ... - def graph_uid(self) -> int: - """uid of the graph this cache is bound to.""" - ... - - def freeze(self) -> None: - """Enter frozen mode (no effect when already frozen).""" - ... - - def thaw(self) -> None: - """Return to building mode (no effect when building); join every reader first.""" - ... - - def clear(self) -> None: - """Empty a building cache (the hit and miss counters persist; held values stay - valid); ValueError when frozen.""" - ... - - def stats(self) -> DagCacheStats: ... - - -class FlowPolicy: - """The one placement engine (APPROACH 9), bound to its ledger at construction. - - ``place(volume, outputs)`` runs the transaction of 9.2 (per source for CostOnly and - CapacityAware: creation, reoptimisation, amounts, growth on the shared working - residual; Global: the cumulative minimum-cost flow on ``V = W + own``) and commits one - atomic exchange: a failed call raises and leaves the ledger and the policy as they were, - a failed allocation of its Python result included (the result object exists before - anything is published). Two limits (APPROACH 13): (1) the pybind11 object machinery is - outside the guarantee: constructing a bound object from Python, or reading an attribute - or method value converted into a new bound object or container outside the staged calls, - allocates through pybind11's ``make_new_instance``, which does not check ``tp_alloc``, so a - Python allocation failure there crashes the process, with Core state unchanged; (2) a - supplied building DagCache is a memo: it keeps the complete entries and statistics of the - lookups that succeeded before a later failure (of this call or of the construction); - never a partial entry, and a retained entry never changes a result. ``remove()`` reverts every - flow, retires the ids and opens a new epoch. Dropping the policy without ``remove()`` - leaves its records as orphans. Keeps the ledger, the Eligibility and the cache alive. - - Raises: - ValueError: invalid endpoints (empty, out of range, overlapping sets), configurations - (Lossy with MaxFlow, Global or CapacityAware; Global without MaxFlow; Weighted - with Headroom; counts, ceilings, guards; Pinned bundles: empty, duplicate, - foreign, without a src -> dst walk; Pinned with endpoint sets), foreign objects, - and requests (outside ``[0, 2**62)`` units, a finite request after ``+inf``). - TypeError: arguments of the wrong type. - """ - - def __init__( - self, - ledger: FlowLedger, - sources: "int | Sequence[int]", - destinations: "int | Sequence[int]", - config: FlowPolicyConfig, - elig: Eligibility | None = None, - cache: DagCache | None = None, - ) -> None: ... - def place( - self, volume: "int | float", outputs: OutputOptions | None = None - ) -> PlacementResult: - """Place ``volume`` units (an int in ``[0, 2**62)``) or ``float('inf')``.""" - ... - - def remove(self) -> None: ... - def placed_demand(self) -> int: - """The sum of delivered over the policy's live records.""" - ... - - def records(self) -> list[FlowRecord]: - """The policy's live records as snapshots in FlowId order.""" - ... - - def record(self, flow_id: tuple[int, int]) -> FlowRecord: - """One of the policy's live records; ValueError for a FlowId of another ledger or - policy, a retired or an unknown id.""" - ... - - def usable_bundles(self) -> int: - """Pinned: the bundles with a src -> dst walk after static pruning (else 0).""" - ... - - @property - def config(self) -> FlowPolicyConfig: - """The configuration (a copy taken at construction).""" - ... - - -class CapacityOptions: - """The configuration, the static Eligibility (``None``: all allowed), the DagCache - (``None``: a private cache per worker) and the outputs of ``capacity()`` and - ``batch_capacity()``.""" - - def __init__( - self, - config: FlowPolicyConfig, - *, - elig: Eligibility | None = None, - cache: DagCache | None = None, - outputs: OutputOptions | None = None, - ) -> None: ... - @property - def config(self) -> FlowPolicyConfig: ... - @property - def elig(self) -> Eligibility | None: ... - @property - def cache(self) -> DagCache | None: ... - @property - def outputs(self) -> OutputOptions: ... - - -class SensitivityOptions: - """The configuration, Eligibility, DagCache and baseline outputs of ``sensitivity()``.""" - - def __init__( - self, - config: FlowPolicyConfig, - *, - elig: Eligibility | None = None, - cache: DagCache | None = None, - outputs: OutputOptions | None = None, - ) -> None: ... - @property - def config(self) -> FlowPolicyConfig: ... - @property - def elig(self) -> Eligibility | None: ... - @property - def cache(self) -> DagCache | None: ... - @property - def outputs(self) -> OutputOptions: ... - - -class SensitivityStatus: - """``EVALUATED`` (loss = baseline minus the capacity without the edge) or - ``UNEVALUABLE`` (the deletion raised a model exception: ``loss`` is ``None`` and - ``reason`` the message).""" - - EVALUATED: ClassVar["SensitivityStatus"] - UNEVALUABLE: ClassVar["SensitivityStatus"] - __members__: ClassVar[dict[str, "SensitivityStatus"]] - - def __init__(self, value: int) -> None: ... - def __int__(self) -> int: ... - def __index__(self) -> int: ... - @property - def name(self) -> str: ... - @property - def value(self) -> int: ... - - -class SensitivityEntry: - """One candidate edge: ``edge``, ``loss`` (signed units, never thresholded; ``None`` - when unevaluable), ``status``, ``reason`` (``None`` unless unevaluable).""" - - @property - def edge(self) -> int: ... - @property - def loss(self) -> int | None: ... - @property - def status(self) -> SensitivityStatus: ... - @property - def reason(self) -> str | None: ... - - -class SensitivityResult: - """``baseline`` (the PlacementResult of ``capacity()``) and ``entries`` (ascending - EdgeId; an absent edge has loss 0).""" - - @property - def baseline(self) -> PlacementResult: ... - @property - def entries(self) -> list[SensitivityEntry]: ... - - -def capacity( - graph: Graph, - sources: "int | Sequence[int]", - destinations: "int | Sequence[int]", - opts: CapacityOptions, -) -> PlacementResult: - """``place(+inf)`` of a FlowPolicy with ``opts.config`` on a fresh ledger of the graph. - - The exact maximum flow is the Global + MaxFlow configuration (the minimum-cost maximum - flow; ``cost_distribution`` its marginal curve). A supplied frozen cache raises - ``DagCacheMiss`` for an absent key, unchanged. A failed call raises and returns no - result; a supplied building cache keeps the entries and statistics of the lookups that - succeeded before the failure (a memo: APPROACH 13, limit 2); a supplied frozen - cache's statistics are unchanged, except one miss when the call raises ``DagCacheMiss``. - """ - ... - - -def batch_capacity( - graph: Graph, - pairs: "Sequence[tuple[int | Sequence[int], int | Sequence[int]]]", - opts: CapacityOptions, - per_pair_elig: "Sequence[Eligibility | None] | None" = None, - workers: int | None = None, -) -> list[PlacementResult]: - """``capacity()`` per ``(sources, destinations)`` pair, in pair order. - - ``opts.elig`` is intersected with ``per_pair_elig[i]`` (``None`` entries allowed; a given - sequence has one entry per pair, also when it is empty). Everything is validated before a - worker starts: the arguments first (workers, options, the configuration: Pinned is - rejected; the ``per_pair_elig`` length), then each pair completely in pair order (its - endpoints, their overlap, its Eligibility), so the error of the lowest failing pair index - is raised; an empty batch returns ``[]``. ``workers``: an explicit int >= 1 is honoured; ``None`` takes - ``NGRAPH_CORE_BATCH_THREADS`` (or 1), and 1 when a cache is supplied. A supplied - building cache is rejected unless ``workers == 1``; a frozen cache is shared by every - worker (pass ``workers`` explicitly), and its ``DagCacheMiss`` for an absent key reaches - the caller unchanged (the lowest failing pair index's). A per-pair intersection that - differs from both operands has a new uid, absent from a frozen cache: pass already - effective per-pair values with ``opts.elig`` ``None``, or a common value containing them, - so the intersection returns the prepopulated operand. A failed call raises and returns - no result; a supplied building cache keeps the entries and statistics of the lookups - that succeeded before the failure (a memo: APPROACH 13, limit 2); a supplied frozen - cache's statistics are unchanged, except one miss when the call raises ``DagCacheMiss``. - """ - ... - - -def sensitivity( - graph: Graph, - sources: "int | Sequence[int]", - destinations: "int | Sequence[int]", - opts: SensitivityOptions, - workers: int | None = None, -) -> SensitivityResult: - """The baseline ``capacity()`` and one deletion per candidate edge. - - Candidates: under Global the baseline's positive-flow edges; under every other model - every edge ``opts.elig`` allows with at least 1 unit of static capacity. A loss is the - baseline's placed minus ``capacity()`` with the edge deleted (``opts.elig`` minus the - edge, the same configuration and cache), in signed units, never thresholded. Global - evaluates it by the flow core's deletion re-solve from the baseline solve's final state - (that value exactly; a failure there raises); CostOnly gives an edge outside every roster - source's reachable part of the static support loss 0 without a placement, a - result-equivalent predicate; every other deletion is placed on a fresh ledger, where a - model exception makes the entry ``UNEVALUABLE`` with the message as reason. ``workers`` as ``batch_capacity`` (``NGRAPH_CORE_SENSITIVITY_THREADS``). - The cache: a supplied building cache needs ``workers == 1``, a frozen one is shared by - every worker; CostOnly is the one model reading the cache, and its deletion looks up a - new Eligibility (a new uid), so with a frozen cache it raises ``DagCacheMiss`` - (unchanged, never ``UNEVALUABLE``); the other models read no cache. - A failed call raises and returns no result; a supplied building cache keeps the - entries and statistics of the lookups that succeeded before the failure (a memo: - APPROACH 13, limit 2); a supplied frozen cache's statistics are unchanged, except one - miss when the call raises ``DagCacheMiss``. - """ - ... - - -# ---------------------------------------------------------------- the public search (APPROACH 6) - -UNREACHABLE: int -"""The path-cost sentinel of an unreachable node (``2**63 - 1``) in ``SpfResult.costs``; the -result accessors that return a single cost give ``None`` instead.""" - - -class SpfOptions: - """The options of ``spf`` (APPROACH 6). - - ``direction`` and ``selection`` are explicit. ``targets`` (one NodeId or a sequence; - ``None``: a full search) stops the search at the nearest targets (anycast). ``residual`` - (int64 units per EdgeId, each in ``[0, capacity_units]``) adds residual gating at - ``min_residual`` units and supplies the priority values of the selection; ``min_residual`` - (an integer ``>= 1``) gates a supplied residual only (static eligibility, the Eligibility - and capacity ``>= 1`` unit, is unconditional). ``elig``: ``None`` allows everything. - A direction outside its enumeration raises ValueError here; every other field is - validated by ``spf``, in the contract's order. - """ - - def __init__( - self, - direction: Direction, - selection: PathSelection, - *, - targets: "int | Sequence[int] | None" = None, - residual: "Sequence[int] | np.ndarray | None" = None, - min_residual: int = 1, - elig: Eligibility | None = None, - ) -> None: ... - @property - def direction(self) -> Direction: ... - @property - def selection(self) -> PathSelection: ... - @property - def targets(self) -> "int | Sequence[int] | None": ... - @property - def residual(self) -> "Sequence[int] | np.ndarray | None": ... - @property - def min_residual(self) -> int: ... - @property - def elig(self) -> Eligibility | None: ... - - -class SpfResult: - """The result of ``spf`` (APPROACH 6). - - ``costs``: full searches only, a read-only int64 array with one entry per node and - ``UNREACHABLE`` for the nodes the search did not reach (``None`` with targets). - ``dag``: the unique DAG of the member graph's edges that are tight in the traversal - direction, returned in their original orientation ``u -> v`` (``d`` the search's distance: - ``d(u) + cost = d(v)`` for a forward search, ``d(v) + cost = d(u)`` for a reverse one); - with targets, pruned to the walks between the roots and a nearest target (forward: from a - root to the target; reverse: from the target to a root), or the canonical single path for - ``multipath = False``. ``target_cost``: with targets, the nearest targets' cost, ``None`` - when no target is reached (and ``None`` for a full search). - """ - - @property - def costs(self) -> "np.ndarray | None": ... - @property - def dag(self) -> PredDAG: ... - @property - def target_cost(self) -> int | None: ... - - -def spf(graph: Graph, roots: "int | Sequence[int]", opts: SpfOptions) -> SpfResult: - """Shortest paths from the roots (every root at distance 0), forward or reverse (APPROACH 6). - - The member graph is every statically eligible edge of at least 1 unit (and, with a - residual, at least ``min_residual`` residual units); ``multi_edge = False`` keeps one - member per ``(u, v)`` pair (minimum cost, then the higher priority under - PREFER_HIGHER_PRIORITY, then the lowest EdgeId). Without targets every reachable node is - settled (``costs`` and the full DAG). With targets the search stops at the nearest - targets' cost (``target_cost``) and the DAG keeps only the walks between the roots and a - nearest target (for a reverse search, from the target to a root); with ``multipath = False`` it is the canonical single path, the walk minimising - ``(cost, -bottleneck under PREFER_HIGHER_PRIORITY, hops, edge-id sequence)`` (the same - walk from both directions with the roles swapped). Validated in this order before any - work (ValueError): the roots (non-empty, ids in range), the targets (the same), a vertex - in both sets, ``multipath = False`` without targets, the residual (its length, then every - entry in ``[0, capacity_units]``), ``min_residual >= 1``, a foreign Eligibility. A root or - target excluded by the Eligibility is skipped; all roots excluded gives an empty result. - """ - ... - - -class KspOptions: - """The options of ``ksp`` (APPROACH 6, rule 10). - - ``k`` (an integer ``>= 1``) and ``selection`` are explicit; the selection's ``multi_edge`` - is the member rule (Expand keeps every eligible parallel member, Collapse one per - ``(u, v)`` pair by ``select_adjacency``) and ``multipath`` is ignored. ``max_path_cost``: - ``None``, ``Absolute(c)`` (``c >= 0``) or ``Stretch(f)`` (``f`` finite in ``[1, inf)``, the - exact dyadic rational it is, times the static shortest cost of the member graph under the - Eligibility, residual ignored); the ceiling is inclusive. ``residual`` (int64 units per - EdgeId, each in ``[0, capacity_units]``) gates at 1 unit and supplies the priority values. - Every field is validated by ``ksp``, in the contract's order. - """ - - def __init__( - self, - k: int, - selection: PathSelection, - *, - max_path_cost: "Absolute | Stretch | None" = None, - residual: "Sequence[int] | np.ndarray | None" = None, - elig: Eligibility | None = None, - ) -> None: ... - @property - def k(self) -> int: ... - @property - def selection(self) -> PathSelection: ... - @property - def max_path_cost(self) -> "Absolute | Stretch | None": ... - @property - def residual(self) -> "Sequence[int] | np.ndarray | None": ... - @property - def elig(self) -> Eligibility | None: ... - - -def ksp(graph: Graph, src: int, dst: int, opts: KspOptions) -> "list[tuple[int, Path]]": - """The K shortest simple ``src -> dst`` paths of the member graph (APPROACH 6, rule 10). - - In increasing ``(cost, -bottleneck under PREFER_HIGHER_PRIORITY, hops, edge-id sequence)``, - the bottleneck being the minimum priority value along a path: the minimal prefix of that - order, truncated at ``k`` and at the inclusive ceiling. Each Path has single-member hops. - Built by Yen deviations whose first path and spur paths are the canonical single path of - ``spf`` (the spur's bottleneck target capped by the root prefix's bottleneck), so ``k = 1`` - gives the single path of a forward or reverse ``spf``. Validated in this order before any - work (ValueError): ``src`` and ``dst`` in range, ``src == dst``, ``k >= 1``, the ceiling, the - residual (its length, then every entry), a foreign Eligibility. An excluded endpoint, no - static route under ``Stretch``, or no path gives ``[]``. - """ - ... - - -def resolve_to_paths( - graph: Graph, - dag: PredDAG, - src: int, - dst: int, - split_parallel_edges: bool = False, - max_paths: int | None = None, -) -> "list[Path]": - """The ``src -> dst`` walks of a DAG (APPROACH 5) in increasing ``(cost, hops, edge-id - sequence)``: a hop costs its cheapest member and is keyed by its lowest member id. - - ``split_parallel_edges = False`` keeps every parallel member of a ``(u, v)`` pair in one - hop (members ascending); ``True`` gives one path per member combination, in the same - order. ``max_paths`` (``>= 1``) truncates the sorted list; ``None`` lists every walk. - ValueError: a DAG of another graph, ``src`` or ``dst`` out of range, ``src == dst``, - ``max_paths < 1``. An endpoint outside the DAG, or no walk, gives ``[]``. - """ - ... diff --git a/src/dag_cache.cpp b/src/dag_cache.cpp index e409516..7f96540 100644 --- a/src/dag_cache.cpp +++ b/src/dag_cache.cpp @@ -1,5 +1,5 @@ /* - The DagCache of APPROACH 10: a map from (roots, direction, Eligibility uid) to the full static + The DagCache: a map from (roots, direction, Eligibility uid) to the full static support of that search, with atomic statistics; building mode (a miss searches and inserts) and frozen mode (read-only: concurrent hits read the map and bump atomic counters, a miss throws). */ @@ -44,7 +44,7 @@ std::shared_ptr DagCache::lookup(const Graph& g, std::span DagCache::lookup_in_call(const Graph& g, std::span roots, Direction direction, const Eligibility* elig, detail::FrozenTally* tally) { - // Inside a public call a frozen cache's statistics wait for the call's boundary (NOTES R27). + // Inside a public call a frozen cache's statistics wait for the call's boundary. const bool staged = frozen_ && tally != nullptr && tally->cache() == this; // Invalid queries throw before anything is counted. if (g.uid() != graph_uid_) throw std::invalid_argument("DagCache: the graph is not the cache's graph (foreign graph)"); diff --git a/src/eligibility.cpp b/src/eligibility.cpp index 25e1765..8c9fd00 100644 --- a/src/eligibility.cpp +++ b/src/eligibility.cpp @@ -1,8 +1,8 @@ /* - Eligibility: the static node and edge flags of one graph (APPROACH 4), and its one public - construction Graph::eligibility(excluded_nodes, excluded_edges). An excluded node excludes its - incident edges (its out-edge id range and its reverse-CSR in-edges); intersect keeps an - operand, and its uid, when the result equals it. + Eligibility: the static node and edge flags of one graph, its one public construction from + excluded ids, Graph::eligibility(excluded_nodes, excluded_edges), and intersect. An excluded + node excludes its incident edges (its out-edge id range and its reverse-CSR in-edges); + intersect keeps an operand, and its uid, when the result equals it. */ #include "netgraph/core/eligibility.hpp" diff --git a/src/evaluators.cpp b/src/evaluators.cpp index 214e066..21b77ba 100644 --- a/src/evaluators.cpp +++ b/src/evaluators.cpp @@ -1,10 +1,10 @@ /* - The evaluators of APPROACH 11: capacity() is place(+inf) of a FlowPolicy on a fresh ledger; - batch_capacity() runs it per pair and sensitivity() per deleted candidate edge, on `workers` - threads (results in input order; the lowest index's exception wins). Sensitivity evaluates a - Global deletion by the flow core's deletion re-solve from the baseline solve's final state - (APPROACH 2.2) and gives a CostOnly edge outside the baseline's routes loss 0 without a - placement (a result-equivalent predicate); every other deletion is placed on a fresh ledger. + capacity() is place(+inf) on a fresh ledger. batch_capacity() runs it per pair and + sensitivity() per candidate deletion on `workers` threads; results follow input order and + the lowest failing index supplies the exception. Global repairs the baseline flow after + each deletion. CostOnly skips an edge that no roster source's reachable part of the static + shortest-path support contains: removing it changes no route or amount. Other deletions use + fresh ledgers. */ #include "netgraph/core/evaluators.hpp" @@ -26,7 +26,6 @@ #include "netgraph/core/detail/flow_core.hpp" #include "netgraph/core/detail/policy_engine.hpp" #include "netgraph/core/detail/pred_dag_builder.hpp" -#include "netgraph/core/detail/private_hooks.hpp" namespace netgraph::core { @@ -119,13 +118,16 @@ void run_indexed(std::size_t n, std::int32_t workers, const Graph& g, DagCache* } } -// CostOnly sensitivity: the edges of the baseline's routes. A source's route is read from the -// part of the full static support reachable from it (projected by the selection on the values -// of those edges; on a fresh ledger the creation view is the capacity). Deleting an edge -// outside every such part leaves every roster source's distance and reachable support as they -// were (distances only grow, and no shortest path of a reachable node used the edge), so every -// route, and the placement over the same capacities, is unchanged: the loss is exactly 0 and -// the deletion is not re-evaluated. +// CostOnly sensitivity: the edges of the full static support (every edge on a static shortest +// path to the destination set) reachable from the roster sources through support edges. This is +// not only the baseline's selected routes. A source's route is read from the part of this set +// reachable from it, then selected on the priority values of the working residual when that +// source's flow is created; earlier creations may already have used capacity, even on a fresh +// ledger. Deleting an edge outside the set leaves every reachable node's distance and support +// edges as they were (distances only grow, and no shortest path of a reachable node used the +// edge). So, creation by creation in their order, each sees the same reachable support and the +// same residual, and every route and placement is unchanged: the loss is exactly 0 and the +// deletion is not re-evaluated. std::vector reachable_support(const Graph& g, const detail::PolicyEngine& pe) { const auto num_edges = static_cast(g.num_edges()); std::vector in_support(num_edges, 0); @@ -271,33 +273,19 @@ SensitivityResult sensitivity_in_call(const Graph& g, std::span so const EdgeId e = candidates[i]; auto& entry = out.entries[i]; entry.edge = e; + // A failed deletion fails the call: run_indexed raises the lowest failing candidate's exception. if (global) { - // An exact deletion on valid inputs always has a feasible optimum: a failure propagates. entry.loss = base - resolvers[t].resolve(e).value; - entry.status = SensitivityStatus::Evaluated; return; } - try { -#if NETGRAPH_CORE_PRIVATE_HOOKS - if (detail::sensitivity_fail_edge().load(std::memory_order_relaxed) == e) { - throw std::runtime_error("injected model exception for the deletion of edge " + std::to_string(e) + - " (test hook)"); - } -#endif - if (cost_only && on_route[static_cast(e)] == 0) { - entry.loss = 0; - } else { - const EdgeId one[1] = {e}; - Eligibility deleted = g.eligibility({}, one); - if (opts.elig != nullptr) deleted = Eligibility::intersect(*opts.elig, deleted); - const auto r = evaluate(g, sources, destinations, opts.cfg, &deleted, &cache, OutputOptions {}, tally); - entry.loss = base - r.placed; - } - entry.status = SensitivityStatus::Evaluated; - } catch (const std::runtime_error& ex) { - entry.loss = std::nullopt; - entry.status = SensitivityStatus::Unevaluable; - entry.reason = ex.what(); + if (cost_only && on_route[static_cast(e)] == 0) { + entry.loss = 0; + } else { + const EdgeId one[1] = {e}; + Eligibility deleted = g.eligibility({}, one); + if (opts.elig != nullptr) deleted = Eligibility::intersect(*opts.elig, deleted); + const auto r = evaluate(g, sources, destinations, opts.cfg, &deleted, &cache, OutputOptions {}, tally); + entry.loss = base - r.placed; } if (&cache != opts.cache) cache.clear(); }); @@ -315,7 +303,7 @@ std::int32_t default_workers(bool sensitivity) noexcept { } // namespace detail -// Each evaluator is one public call on a supplied frozen cache's statistics (NOTES R27). +// Each evaluator is one public call on a supplied frozen cache's statistics. PlacementResult capacity(const Graph& g, std::span sources, std::span destinations, const CapacityOptions& opts) { return detail::frozen_call(opts.cache, [&](detail::FrozenTally& tally) { diff --git a/src/flow_core.cpp b/src/flow_core.cpp index 462f4b5..0c8217e 100644 --- a/src/flow_core.cpp +++ b/src/flow_core.cpp @@ -1,52 +1,66 @@ /* - The one integer minimum-cost flow core (APPROACH 2.2). - - One objective on every view: minimum cost for the maximum value attainable under the value - cap. Successive shortest paths with potentials and blocking flows. Each tier runs Dijkstra on - reduced costs cost(e) + pi(u) - pi(v) to completion over the residual network reachable from - the virtual source s* (through the virtual sink t* and onward), adds the distances to the - potentials of the vertices it settled, then drains the zero-reduced-cost admissible subgraph - by Dinic phases (BFS levels, DFS with current-arc pointers) until no admissible augmenting - path remains or the cap is reached; then the next tier. Positive original costs do not - exclude zero-reduced-cost residual cycles, hence the repeated phases. The solve ends when a - Dijkstra does not reach t* or the cap is reached; there is no completion phase. - - Arc identity: every eligible edge is its own arc pair (forward with the view capacity, - reverse with the flow). At a node the forward arcs of its out-edges and the reverse arcs of - its in-edges are visited in one sequence by ascending EdgeId (a self-loop's forward arc before - its reverse arc); at a real endpoint its virtual arc comes first; s* visits its arcs by - ascending source NodeId and t* by ascending destination NodeId. Virtual arcs cost 0 and carry - 2^63 - 2 units, above every attainable value. Every solve starts from zero flow, so the zero - potentials are valid (all costs are positive). - - The deletion re-solve (the exact sensitivity model, APPROACH 11) continues from a solve's - final state instead. A solve asked to capture its state also records, as a shadow that - changes none of its searches, the working potentials: the running sum of the tier maxima D_k - and, per settled vertex, that sum at its last settlement; the working potential is the - published one plus the difference (a never-settled vertex: the whole sum, from numeric zero). - They equal the update of every vertex after every Dijkstra, the reached ones by their distance - and the others by D_k, so the reduced cost is non-negative on every positive residual arc, - real or virtual. The re-solve deletes a real arc e = (u, v) with flow f_e > 0 from a copy of - the state and runs three fixed-origin repairs, each a sequence of tiers as above from its - origin to its target, with that all-vertex update before the Dinic phases: u -> v for f_e, - moving m; when r = f_e - m > 0, u -> s* for r, whose first tier reuses repair 1's failed - search (nothing changed since), then t* -> v for r. The result is the minimum-cost flow of the - maximum value placed - r on the view without e, certified by the working potentials and the - real sources' residual closure; at most m + 2 r Dijkstra runs. + The one integer minimum-cost flow core. + + Find the maximum flow allowed by the cap at minimum cost. The residual network records how + much flow a forward arc can add and how much its reverse arc can cancel. A potential pi is + a vertex cost offset; the reduced cost of u -> v is cost(e) + pi(u) - pi(v). These offsets + make searchable arc costs non-negative without changing which path between two endpoints + is cheapest. Each tier runs Dijkstra, which finalises the nearest pending vertex first, + over all residual vertices reachable from virtual source s*, through sink t* and onward. + Add the final distances to settled vertices' potentials. Arcs on shortest paths now have + zero reduced cost; those with positive residual capacity form the admissible subgraph. + Dinic phases push flow through it: breadth-first search (BFS) assigns minimum-hop levels; + depth-first search (DFS) follows level-increasing paths, keeping each node's next arc to try. + A blocking flow fills these paths until none can take more. Repeat phases until no admissible + augmenting path (a residual source-to-sink path) remains, or the cap is reached. Repetition is + needed because a phase's level graph keeps only the admissible paths with the fewest arcs. + Start the next tier; stop when Dijkstra cannot reach t* or the cap is reached. No completion + phase follows. + + Arc identity: each eligible edge has a forward arc with the view capacity and a reverse arc + with its flow. At each node, visit forward out-arcs and reverse in-arcs together by ascending + EdgeId; for a self-loop visit forward before reverse. Virtual vertices s* and t* connect the + real source and destination sets. A real endpoint's virtual arc comes first; s* visits + sources and t* visits destinations by ascending NodeId. Virtual arcs cost 0 and carry + 2^63 - 2 units, above every attainable value. Starting from zero flow makes zero potentials + valid: usable real arcs have positive costs and virtual arcs cost 0. + + Deletion re-solves start from a captured final state. During capture, track working + potentials without changing the original searches. Keep the sum of tier maxima D_k and + each settled vertex's last such sum; D_k is that search's largest finite distance. + Working potential = published potential + tier maxima accumulated since its last settlement. + For a never-settled vertex, start at zero and add the whole sum. This equals updating every + vertex after every Dijkstra: reached vertices by their distance, the others by D_k. + Thus every positive residual arc, real or virtual, has non-negative reduced cost. + Delete e = (u, v), with flow f_e > 0, from a copy and run three repairs, each with a fixed + origin and target and that all-vertex update before Dinic phases. First move up to f_e from + u to v; call the amount moved m. If r = f_e - m > 0, move r from u to s*, then from t* to v. + The u -> s* repair reuses the first repair's failed search because nothing has changed. + The result has maximum value placed - r and minimum cost on the view without e. Working + potentials certify its cost; the real sources' full residual closure certifies its value. + There are at most m + 2 r Dijkstra runs. Dijkstra's queue is a radix heap: keys pop in increasing order and entries with equal keys pop in a fixed order (last pushed first within the lowest bucket), so the settle order, and with it every counter, is a function of the input alone. Equal-key order affects only the counters, never a distance, a potential or an augmenting path. The solve runs to the cap or to - disconnection; there is no clamp of the cap (APPROACH 2.2, revision 25). - - Arithmetic. A solve from zero stays in int64: every true residual distance is the cost of a - simple residual path, below the cost sum bound 2^62; potentials are such distances; a path's - bottleneck contains a real arc (sources and destinations are disjoint), so every amount is - below 2^62. The deletion mode's working potentials, distance keys, tentative distances and - sums of tier maxima are signed 128-bit (I128; reachability kept apart from the value by a - stamp): they stay within (n + 1) C at capture and (22 n + 15) C across the repairs for n - vertices and the cost sum C < 2^62, and its heap takes 128-bit keys. Amounts stay int64. + disconnection; there is no clamp of the cap. + + Arithmetic. A solve from zero stays in int64: each true residual distance is the cost of a + simple path (no repeated vertex), below the cost sum bound 2^62; potentials are such distances. + A path's bottleneck is its smallest residual capacity. It includes a real arc because sources + and destinations are disjoint, so every amount is below 2^62. The deletion mode's working + potentials, distance keys, tentative distances and sums of tier maxima are signed 128-bit + (I128; reachability kept apart from the value by a stamp): they stay within (n + 1) C at + capture and (22 n + 15) C across the repairs for n vertices and the cost sum C < 2^62, and its + heap takes 128-bit keys. Amounts stay int64. + + Size. Vertex ids, arc slots and slot offsets are int32. A network of N real vertices has + N + 2 vertices, and every edge and every virtual arc has two slots (forward and reverse), so + N <= INT32_MAX - 2 and edges + sources + destinations <= 2^30 - 1 (twice that is the largest + even int32). network_vertices() refuses a larger network; both ways of sizing the solver (a + solve from zero, a captured state's re-solves) take their vertex count from it before anything + else, so every vertex id, slot and offset fits. */ #include "netgraph/core/detail/flow_core.hpp" @@ -58,6 +72,7 @@ #include #include +#include "netgraph/core/detail/edge_amounts.hpp" #include "netgraph/core/detail/endpoints.hpp" #include "netgraph/core/detail/node_map.hpp" @@ -69,7 +84,8 @@ constexpr Cost kInfDist = std::numeric_limits::max(); constexpr Amount kUncapped = std::numeric_limits::max(); // The bucket of a key: the number of the highest bit in which it differs from the last popped -// key (keys are non-negative). +// key (keys are non-negative). A 128-bit key differs in its high word from 2^64 on, which the +// deletion mode's bound (22 n + 15) C allows (see Arithmetic above). std::size_t bucket_of(Cost key, Cost last) noexcept { return static_cast(std::bit_width(static_cast(key) ^ static_cast(last))); } @@ -123,27 +139,51 @@ inline constexpr bool kWide = std::is_same_v; } // namespace +std::int32_t network_vertices(std::int32_t num_nodes, std::size_t num_edges, std::size_t num_sources, + std::size_t num_destinations) { + constexpr std::int32_t kMax = std::numeric_limits::max(); + if (num_nodes > kMax - 2) { + throw std::invalid_argument( + "flow core: the number of nodes exceeds INT32_MAX - 2 (a solve adds a virtual source and sink)"); + } + // Each term is compared with what the earlier ones leave, so no sum of counts can wrap. + constexpr auto kPairs = static_cast(kMax / 2); // 2^30 - 1 + if (num_edges > kPairs || num_sources > kPairs - num_edges || num_destinations > kPairs - num_edges - num_sources) { + throw std::invalid_argument( + "flow core: the edges, sources and destinations of a solve number more than 2^30 - 1 together (each " + "takes two int32 arc slots)"); + } + return num_nodes + 2; +} + // The residual network of one solve (Network: real vertices 0..N-1, s* = N, t* = N + 1) with // its flow, potentials and scratch; also the working storage of a deletion re-solve. class FlowSolver { public: // One reusable instance per thread (`local()`) for the solves from zero: build() resizes every - // buffer for the input, keeping capacity across calls, so repeated solves do not allocate - // once warm. Not reentrant (a solve never starts another). A deletion resolver owns its own. + // buffer for the input, keeping capacity across calls, so the solver's own buffers are not + // reallocated once warm (each solve still allocates its outputs). Not reentrant (a solve never + // starts another). A deletion resolver owns its own. static FlowSolver& local() { thread_local FlowSolver solver; return solver; } + FlowSolver() = default; + // Never copied or moved: net_ may point at own_. + FlowSolver(const FlowSolver&) = delete; + FlowSolver& operator=(const FlowSolver&) = delete; + // The input part of the network (num_nodes, the edges, the endpoint sets) is the caller's to // fill; build() adds the arcs. - Network& network() noexcept { return net_; } + Network& network() noexcept { return own_; } // The arcs of the input, zero flow and zero potentials. `shadow`: record the working // potentials for a capture. void build(bool shadow) { - auto& in = net_; - size(in.num_nodes); + auto& in = own_; + size(in); + net_ = &own_; const auto n = static_cast(n_); in.off.assign(n + 1, 0); auto deg = [&](std::int32_t v) { ++in.off[static_cast(v) + 1]; }; @@ -204,11 +244,13 @@ class FlowSolver { } } - // A captured state's network, as the working storage of its deletion re-solves. + // A captured state's network, read in place by its deletion re-solves (never written; the + // caller keeps it alive while this solver uses it). The residual, the potentials and the + // scratch stay this solver's own. void load(const Network& net) { - net_ = net; - size(net_.num_nodes); - res_.resize(net_.arc_head.size()); + size(net); + net_ = &net; + res_.resize(net_->arc_head.size()); wpi_.resize(static_cast(n_)); wdist_.resize(static_cast(n_)); wseen_.assign(static_cast(n_), 0); @@ -252,11 +294,11 @@ class FlowSolver { } out.placed = total; - out.flows.resize(net_.edges.size()); - for (std::size_t k = 0; k < net_.edges.size(); ++k) out.flows[k] = flow_of(k); + out.flows.resize(net_->edges.size()); + for (std::size_t k = 0; k < net_->edges.size(); ++k) out.flows[k] = flow_of(k); if (closure && close_sources()) out.cut = cut_edges(-1); if (potentials) { - out.potentials.resize(static_cast(net_.num_nodes)); + out.potentials.resize(static_cast(net_->num_nodes)); for (std::size_t v = 0; v < out.potentials.size(); ++v) { out.potentials[v] = ever_[v] != 0 ? pi_[v] : kNeverReached; } @@ -268,7 +310,7 @@ class FlowSolver { void capture(DeletionCapture& req, Amount placed, const FlowCoreCounters& counters) { DeletionState state; state.graph_ = req.graph; - state.net_ = std::make_shared(net_); + state.net_ = std::make_shared(*net_); state.res_ = res_; state.pi_.resize(static_cast(n_)); for (std::size_t v = 0; v < state.pi_.size(); ++v) state.pi_[v] = I128 {pi_[v]} + (tier_sum_ - checkpoint_[v]); @@ -291,13 +333,13 @@ class FlowSolver { std::copy(state.potentials().begin(), state.potentials().end(), wpi_.begin()); DeletionResult out; auto& c = out.counters; - const auto fwd = static_cast(net_.edge_slot[k]); - const auto bwd = static_cast(net_.rev[fwd]); + const auto fwd = static_cast(net_->edge_slot[k]); + const auto bwd = static_cast(net_->rev[fwd]); const Amount f = res_[bwd]; - const std::int32_t u = net_.tail[k]; - const std::int32_t v = net_.head[k]; - // The deletion: a pseudo-flow with an excess of f at u and a deficit of f at v, its residual - // the state's without e's two arcs. + const std::int32_t u = net_->tail[k]; + const std::int32_t v = net_->head[k]; + // Removing e leaves f extra units at u and f missing units at v; conservation is broken + // until repairs reconnect or cancel them. Remove both residual arcs of e. res_[fwd] = 0; res_[bwd] = 0; emit(0, false, 0, c); @@ -321,19 +363,21 @@ class FlowSolver { } out.value = state.value() - r; out.potentials = wpi_; - for (std::int32_t j : cut_edges(static_cast(k))) out.cut.push_back(net_.edges[static_cast(j)]); + for (std::int32_t j : cut_edges(static_cast(k))) out.cut.push_back(net_->edges[static_cast(j)]); out.edge_flows.assign(static_cast(state.graph().num_edges()), 0); - for (std::size_t j = 0; j < net_.edges.size(); ++j) { - out.edge_flows[static_cast(net_.edges[j])] = j == k ? 0 : flow_of(j); + for (std::size_t j = 0; j < net_->edges.size(); ++j) { + out.edge_flows[static_cast(net_->edges[j])] = j == k ? 0 : flow_of(j); } return out; } private: - void size(std::int32_t num_nodes) { - n_ = num_nodes + 2; - s_ = num_nodes; - t_ = num_nodes + 1; + // The vertex count and the virtual vertices of `net` (refused beyond the limits of + // network_vertices(), before any change), then the scratch of that many vertices. + void size(const Network& net) { + n_ = network_vertices(net.num_nodes, net.edges.size(), net.sources.size(), net.destinations.size()); + s_ = n_ - 2; + t_ = n_ - 1; const auto n = static_cast(n_); level_.resize(n); reach_.assign(n, 0); @@ -343,7 +387,7 @@ class FlowSolver { // The flow of input edge k: the residual of its reverse slot. [[nodiscard]] Amount flow_of(std::size_t k) const { - return res_[static_cast(net_.rev[static_cast(net_.edge_slot[k])])]; + return res_[static_cast(net_->rev[static_cast(net_->edge_slot[k])])]; } template @@ -388,8 +432,15 @@ class FlowSolver { auto& pi = potentials

(); auto& dist = distances

(); auto& queue = heap

(); + // The network is never resized during a search: raw pointers keep the compiler from + // reloading net_ and the vector bases around every store into the solver's own buffers. + const std::int32_t* const off = net_->off.data(); + const std::int32_t* const arc_head = net_->arc_head.data(); + const Cost* const arc_cost = net_->arc_cost.data(); ++c.dijkstra_runs; if constexpr (kWide

) { + // Wraparound after 2^32 wide searches since load(): one resolver's searches over all its + // deletions, which no stated limit keeps below 2^32. if (++wepoch_ == 0) { std::fill(wseen_.begin(), wseen_.end(), 0); wepoch_ = 1; @@ -411,13 +462,13 @@ class FlowSolver { settled_.push_back(ui); ++c.settled; const P base = du + pi[u]; - const auto end = net_.off[u + 1]; - c.arc_scans += end - net_.off[u]; - for (auto p = net_.off[u]; p < end; ++p) { + const auto end = off[u + 1]; + c.arc_scans += end - off[u]; + for (auto p = off[u]; p < end; ++p) { const auto a = static_cast(p); if (res_[a] <= 0) continue; - const auto v = static_cast(net_.arc_head[a]); - const P nd = base + net_.arc_cost[a] - pi[v]; + const auto v = static_cast(arc_head[a]); + const P nd = base + arc_cost[a] - pi[v]; if constexpr (kWide

) { if (wseen_[v] != wepoch_ || nd < dist[v]) { wseen_[v] = wepoch_; @@ -465,16 +516,17 @@ class FlowSolver { // after every push. template Amount drain(FlowCoreCounters& c, Amount limit, Amount total, OnPush on_push) { + const std::int32_t* const rev = net_->rev.data(); while (total < limit) { if (!build_levels

(c)) break; - std::copy(net_.off.begin(), net_.off.end() - 1, cur_.begin()); + std::copy(net_->off.begin(), net_->off.end() - 1, cur_.begin()); while (total < limit) { if (!find_path

(c)) break; Amount amount = limit - total; for (std::int32_t a : path_) amount = std::min(amount, res_[static_cast(a)]); for (std::int32_t a : path_) { res_[static_cast(a)] -= amount; - res_[static_cast(net_.rev[static_cast(a)])] += amount; + res_[static_cast(rev[static_cast(a)])] += amount; } total += amount; ++c.augmentations; @@ -493,23 +545,32 @@ class FlowSolver { template bool build_levels(FlowCoreCounters& c) { const auto& pi = potentials

(); + const std::int32_t* const off = net_->off.data(); + const std::int32_t* const arc_head = net_->arc_head.data(); + const std::int32_t* const rev = net_->rev.data(); + const Cost* const arc_cost = net_->arc_cost.data(); const auto t = static_cast(target_); + // Wraparound after 2^32 phases since size(): one solve from zero, or one resolver's phases + // over all its deletions, which no stated limit keeps below 2^32. + if (++mark_epoch_ == 0) { + std::fill(reach_.begin(), reach_.end(), 0); + mark_epoch_ = 1; + } // Reverse search from the target: the arc into v from arc_head[p] is the partner of v's slot p. - ++mark_epoch_; queue_.clear(); reach_[t] = mark_epoch_; queue_.push_back(target_); for (std::size_t qi = 0; qi < queue_.size(); ++qi) { const auto v = static_cast(queue_[qi]); const P pv = pi[v]; - const auto end = net_.off[v + 1]; - c.arc_scans += end - net_.off[v]; - for (auto p = net_.off[v]; p < end; ++p) { + const auto end = off[v + 1]; + c.arc_scans += end - off[v]; + for (auto p = off[v]; p < end; ++p) { const auto a = static_cast(p); - const auto u = static_cast(net_.arc_head[a]); + const auto u = static_cast(arc_head[a]); if (reach_[u] == mark_epoch_) continue; - const auto in = static_cast(net_.rev[a]); - if (res_[in] > 0 && net_.arc_cost[in] + pi[u] == pv) { + const auto in = static_cast(rev[a]); + if (res_[in] > 0 && arc_cost[in] + pi[u] == pv) { reach_[u] = mark_epoch_; queue_.push_back(static_cast(u)); } @@ -527,12 +588,12 @@ class FlowSolver { if (level_[t] >= 0 && level_[u] >= level_[t]) break; const P pu = pi[u]; const auto next = level_[u] + 1; - const auto end = net_.off[u + 1]; - c.arc_scans += end - net_.off[u]; - for (auto p = net_.off[u]; p < end; ++p) { + const auto end = off[u + 1]; + c.arc_scans += end - off[u]; + for (auto p = off[u]; p < end; ++p) { const auto a = static_cast(p); - const auto v = static_cast(net_.arc_head[a]); - if (level_[v] < 0 && reach_[v] == mark_epoch_ && res_[a] > 0 && net_.arc_cost[a] + pu == pi[v]) { + const auto v = static_cast(arc_head[a]); + if (level_[v] < 0 && reach_[v] == mark_epoch_ && res_[a] > 0 && arc_cost[a] + pu == pi[v]) { level_[v] = next; queue_.push_back(static_cast(v)); } @@ -546,6 +607,9 @@ class FlowSolver { template bool find_path(FlowCoreCounters& c) { const auto& pi = potentials

(); + const std::int32_t* const off = net_->off.data(); + const std::int32_t* const arc_head = net_->arc_head.data(); + const Cost* const arc_cost = net_->arc_cost.data(); stack_.clear(); path_.clear(); stack_.push_back(origin_); @@ -553,14 +617,14 @@ class FlowSolver { const auto u = static_cast(stack_.back()); if (static_cast(u) == target_) return true; bool advanced = false; - const auto end = net_.off[u + 1]; + const auto end = off[u + 1]; const auto next = level_[u] + 1; const P pu = pi[u]; while (cur_[u] < end) { ++c.arc_scans; const auto a = static_cast(cur_[u]); - const auto v = static_cast(net_.arc_head[a]); - if (res_[a] > 0 && level_[v] == next && net_.arc_cost[a] + pu == pi[v]) { + const auto v = static_cast(arc_head[a]); + if (res_[a] > 0 && level_[v] == next && arc_cost[a] + pu == pi[v]) { stack_.push_back(static_cast(v)); path_.push_back(static_cast(a)); advanced = true; @@ -607,17 +671,19 @@ class FlowSolver { // The full residual closure of the real sources (reverse and virtual arcs included) into // seen_. Returns whether t* is outside it. bool close_sources() { + const std::int32_t* const off = net_->off.data(); + const std::int32_t* const arc_head = net_->arc_head.data(); seen_.assign(static_cast(n_), 0); queue_.clear(); - for (std::int32_t s : net_.sources) { + for (std::int32_t s : net_->sources) { seen_[static_cast(s)] = 1; queue_.push_back(s); } for (std::size_t qi = 0; qi < queue_.size(); ++qi) { const auto u = static_cast(queue_[qi]); - for (auto p = net_.off[u]; p < net_.off[u + 1]; ++p) { + for (auto p = off[u]; p < off[u + 1]; ++p) { const auto a = static_cast(p); - const auto v = static_cast(net_.arc_head[a]); + const auto v = static_cast(arc_head[a]); if (res_[a] > 0 && seen_[v] == 0) { seen_[v] = 1; queue_.push_back(static_cast(v)); @@ -630,10 +696,13 @@ class FlowSolver { // The input edges of positive view capacity from the closure to its complement (ascending), // the input edge `skip` (a deleted edge) left out. [[nodiscard]] std::vector cut_edges(std::int64_t skip) const { + const std::int32_t* const tail = net_->tail.data(); + const std::int32_t* const head = net_->head.data(); + const Amount* const cap = net_->cap.data(); std::vector cut; - for (std::size_t k = 0; k < net_.edges.size(); ++k) { - if (static_cast(k) != skip && seen_[static_cast(net_.tail[k])] != 0 && - seen_[static_cast(net_.head[k])] == 0 && net_.cap[k] > 0) { + for (std::size_t k = 0; k < net_->edges.size(); ++k) { + if (static_cast(k) != skip && seen_[static_cast(tail[k])] != 0 && + seen_[static_cast(head[k])] == 0 && cap[k] > 0) { cut.push_back(static_cast(k)); } } @@ -648,7 +717,8 @@ class FlowSolver { void emit(int /*repair*/, bool /*push*/, Amount /*moved*/, const FlowCoreCounters& /*c*/) const noexcept {} #endif - Network net_ {}; + Network own_ {}; // a solve from zero's network (build()) + const Network* net_ {&own_}; // the network the searches read: own_, or a captured one (load()) std::int32_t n_ {0}; std::int32_t s_ {0}; std::int32_t t_ {0}; @@ -700,6 +770,8 @@ DeletionState& DeletionState::operator=(const DeletionState& other) { return *this = std::move(copy); } +// The solver reads the network that state_ shares: it lives as long as state_, a move included +// (a move transfers the owner, the network stays where it is). DeletionResolver::DeletionResolver(const DeletionState& state) : state_(state), solver_(std::make_unique()) { if (state_.net_ == nullptr) throw std::invalid_argument("deletion re-solve: an empty state (no solve captured it)"); solver_->load(state_.network()); @@ -750,18 +822,7 @@ FlowCoreResult place_global_units(const Graph& g, std::optional cap, DeletionCapture* capture) { const auto num_edges = static_cast(g.num_edges()); - if (view.size() != num_edges) { - throw std::invalid_argument("view has length " + std::to_string(view.size()) + ", expected " + - std::to_string(num_edges) + " (one entry per edge)"); - } - const auto capacity = g.capacity_units(); - for (std::size_t e = 0; e < num_edges; ++e) { - if (view[e] < 0 || view[e] > capacity[e]) { - throw std::invalid_argument("view[" + std::to_string(e) + "] = " + std::to_string(view[e]) + - " is outside [0, capacity_units[" + std::to_string(e) + "] = " + - std::to_string(capacity[e]) + "]"); - } - } + check_edge_amounts(g, view, "view"); const auto srcs = node_set(sources, g.num_nodes(), "sources"); const auto dsts = node_set(destinations, g.num_nodes(), "destinations"); check_disjoint(srcs, dsts, "sources", "destinations"); diff --git a/src/flow_ledger.cpp b/src/flow_ledger.cpp index 99d4f62..e743dae 100644 --- a/src/flow_ledger.cpp +++ b/src/flow_ledger.cpp @@ -1,9 +1,10 @@ /* - The integer ledger FlowLedger (APPROACH 8). + The integer ledger FlowLedger. - The aggregate allocation is kept exactly (integers) and changed only by an atomic commit or a - detach; residual() is derived from it (baseline - allocated). Records are kept by id (FlowId - order); ids come from a per-ledger counter and are never reused, also across reset(). + The aggregate allocation is kept exactly (integers) and changed only by an atomic commit, a + detach or a reset (which zeroes it); residual() is derived from it (baseline - allocated). + Records are kept by id (FlowId order); ids come from a per-ledger counter and are never + reused, also across reset(). */ #include "netgraph/core/flow_ledger.hpp" @@ -12,6 +13,7 @@ #include #include +#include "netgraph/core/detail/edge_amounts.hpp" #include "netgraph/core/detail/endpoints.hpp" #include "netgraph/core/detail/ledger_access.hpp" #include "netgraph/core/detail/uid.hpp" @@ -78,18 +80,7 @@ void FlowLedger::check_usable() const { } std::vector FlowLedger::checked_baseline(std::span residual) const { - const auto capacity = graph_->capacity_units(); - if (residual.size() != capacity.size()) { - throw std::invalid_argument("residual has length " + std::to_string(residual.size()) + ", expected " + - std::to_string(capacity.size()) + " (one entry per edge)"); - } - for (std::size_t e = 0; e < residual.size(); ++e) { - if (residual[e] < 0 || residual[e] > capacity[e]) { - throw std::invalid_argument("residual[" + std::to_string(e) + "] = " + std::to_string(residual[e]) + - " is outside [0, capacity_units[" + std::to_string(e) + "] = " + - std::to_string(capacity[e]) + "]"); - } - } + detail::check_edge_amounts(*graph_, residual, "residual"); return std::vector(residual.begin(), residual.end()); } @@ -224,13 +215,13 @@ bool is_bound(const std::map& owners, std::int64_t owner) { return it != owners.end() && it->second; } -// The dense per-edge delta of one commit, in a per-thread array of slots. An edge is touched in -// this commit when its slot carries the commit's epoch stamp: that test does not depend on the -// delta's value, so a delta that returns to zero during accumulation (-1, then +1) keeps its one -// entry in the touched list and is published once (review-1b-fixes N2). A slot is reset on its -// first touch in a commit, so nothing needs clearing between commits: a commit that throws -// leaves stale slots behind an old epoch. Delta and stamp share one array, so growing it either -// succeeds whole or leaves the previous array (review-1b-fixes N1). +// Per-thread deltas indexed by EdgeId. Each commit advances an epoch (a numeric stamp). +// A matching slot stamp means the edge is already in the touched list, even if its delta +// returned to zero (-1, then +1), so each edge is published once. Reset a slot on first touch; +// later commits ignore old stamps, including after an exception. Only stamp wraparound (after +// 2^32 commits on one thread, which a long-running process reaches) needs a full stamp clear. +// Delta and stamp share one array: failed growth leaves the old array intact (the strong +// guarantee). class DeltaScratch { public: explicit DeltaScratch(std::size_t num_edges) : s_(storage()) { diff --git a/src/flow_policy.cpp b/src/flow_policy.cpp index e238b28..a325865 100644 --- a/src/flow_policy.cpp +++ b/src/flow_policy.cpp @@ -1,29 +1,31 @@ /* - The policy engine FlowPolicy (APPROACH 8 and 9): one placement transaction for every routing + The policy engine FlowPolicy: one placement transaction for every routing mode, committed through the ledger as one atomic exchange per call. - * CostOnly, CapacityAware and Pinned run the per-source transaction of 9.2 and 9.3: the - roster (fixed at construction) in ascending NodeId, each source offered the increment of its - round-robin share of the cumulative request, stages 1 (creation), 2 (reoptimisation), 3 - (amounts) and 4 (growth) on the shared working residual W; one `created` counter per call. - Pinned has one actor, the policy, with its one source. - * Global re-solves the minimum-cost flow of the cumulative value on V = W + own (the flow core - of 2.2 over the whole eligible graph) and decomposes it per source canonically (9.1). - - Every stage works on copies; nothing is published before the commit, which either succeeds or - throws leaving the ledger and the policy unchanged; the epoch state follows the commit with - operations that cannot throw. The working residual is a per-thread overlay over the ledger's - residual (only the edges a call touches cost anything), so a Pinned call, and a CostOnly call - after its cohort's creation, costs O(its flows' members), never O(E); CostOnly creation of a - single path, CapacityAware searches and Global solves read a dense copy. - - The transaction trace (prototype 2's keys) exists in a build with the private hooks only: every + * CostOnly, CapacityAware and Pinned visit the roster (eligible sources that statically + reach an allowed destination, fixed at construction) in ascending NodeId. Round robin gives each + source an equal integer share of the cumulative request, with leftover units going to + earlier sources. Offer each source the increase in its share, then run stages 1 creation, + 2 reoptimisation, 3 amounts and 4 growth on shared unused capacity W (the working residual). + One `created` counter covers the call. Pinned has a single source. + * Global replaces its flow with a minimum-cost flow for the cumulative value on V = W + own, + over all eligible edges; own is its current allocation. Split the result by source in the + fixed order described by decompose(). + + Work on copies and commit all changes together; an exception leaves ledger and policy intact. + Update policy epoch state (accumulated since construction or remove()) after commit, without + throwing. Store only changes to ledger residual in per-thread slots. A Pinned call, or a + CostOnly call after creating a source's group of flows (cohort), costs O(its flows' members), + not O(E). CapacityAware and Global read a dense residual copy; CostOnly creation reads the + working residual edge by edge. + + The transaction trace (the call's intermediate values, keyed as the tests' model of the policy + keys them) exists in a build with the private hooks only: every trace block is guarded by kTraced and is compile-time dead without them. */ #include "netgraph/core/flow_policy.hpp" #include -#include #include #include #include @@ -37,7 +39,6 @@ #include "netgraph/core/detail/int128.hpp" #include "netgraph/core/detail/kernels.hpp" #include "netgraph/core/detail/ledger_access.hpp" -#include "netgraph/core/detail/node_map.hpp" #include "netgraph/core/detail/policy_engine.hpp" #include "netgraph/core/detail/pred_dag_builder.hpp" #include "netgraph/core/detail/private_hooks.hpp" @@ -53,22 +54,18 @@ std::atomic& max_flows_per_call() noexcept { static std::atomic cap {kMaxFlowsPerCall}; return cap; } - -std::atomic& sensitivity_fail_edge() noexcept { - static std::atomic edge {-1}; - return edge; -} #endif namespace { // ================================================================ working residual -// W = baseline - allocated + delta, the delta being this call's working changes (releases of the -// policy's own allocations and new working allocations). Per-thread slots stamped with the -// call's epoch: a slot is valid only under the current epoch, so nothing is cleared between calls -// and a call that throws leaves stale slots behind an old epoch. One array of slots: growing it -// either succeeds whole or leaves the previous array (strong guarantee). +// W = baseline - allocated + delta; delta holds this call's releases and new allocations. +// Each call advances a scratch epoch (a numeric stamp, separate from the policy epoch). +// Read a slot only when its stamp matches; later calls ignore stale slots even after a throw. +// Clear all stamps only on wraparound (after 2^32 calls on one thread, which a long-running +// process reaches). Slots share one per-thread array, so failed growth leaves the old array +// intact. class Working { public: explicit Working(const FlowLedger& fg) @@ -95,7 +92,7 @@ class Working { } x.delta += v; } - // The member-aligned working residual of `members`. + // Unused capacity for each edge of `members`, in the same order (member-aligned). void gather(std::span members, std::vector& out) const { out.resize(members.size()); for (std::size_t m = 0; m < members.size(); ++m) out[m] = at(members[m]); @@ -161,7 +158,7 @@ const char* outcome_name(Termination t) noexcept { return "?"; } -// The reduction rank of 9.4 (higher wins among unserved sources). +// The reduction rank of the call's termination (higher wins among unserved sources). int rank(Termination t) noexcept { switch (t) { case Termination::LimitFlows: return 4; @@ -190,7 +187,7 @@ void align(std::span members, const std::vector void cumulative_offers(const Counter128& requested, Amount v, std::size_t k, Offer&& offer) { @@ -275,6 +272,20 @@ std::shared_ptr plan_on(const Call& c, NodeId src, const PredD make_plan(c.g, cfg.placement, cfg.admission, cfg.selection.priority, src, c.pe.dests_ok, route, creation, cost)); } +// The priority values of the creation view W, as the selection reads them (CostOnly). The +// PriorityFn of `on_w` points at this view: it must outlive every call through that PriorityFn. +struct WorkingPriority { + const Working* W; + std::span capacity; + EdgePriority priority; + [[nodiscard]] PriorityFn on_w() const noexcept { + return {this, [](const void* ctx, EdgeId e) noexcept { + const auto& v = *static_cast(ctx); + return priority_value(v.priority, v.W->at(e), v.capacity[static_cast(e)]); + }}; + } +}; + // The record bundle of a route: `share` itself when it is the whole route, else a new DAG. std::shared_ptr bundle_of(const Graph& g, std::span route, const std::shared_ptr& share) { @@ -282,26 +293,16 @@ std::shared_ptr bundle_of(const Graph& g, std::span return std::make_shared(PredDAGBuilder::of_edges(g, route)); } -// CostOnly: the static support restricted to the walks from src, then the selection projected on -// the creation view W (APPROACH 9.1, 10): Collapse by (cost, priority under PreferHigherPriority, -// lowest EdgeId), and the staged canonical single path for multipath = false, both reading W's -// priority values and never gating on them (the traversal core's support projection). +// CostOnly: keep static shortest-path support reachable from src, then apply selection on W. +// For multi_edge = false (Collapse), choose one edge per (u, v) by (cost, higher priority under +// PreferHigherPriority, lowest EdgeId). For multipath = false, choose the canonical single +// path in stages. Both use W's priority values without excluding edges for low residual. Route cost_only_route(const Call& c, NodeId src) { const auto& g = c.g; const auto& pe = c.pe; const auto& sel = pe.config.selection; - const auto capacity = g.capacity_units(); - struct View { - const Working* W; - std::span capacity; - EdgePriority priority; - }; - const View view {&c.W, capacity, sel.priority}; - const PriorityFn on_w {&view, [](const void* ctx, EdgeId e) noexcept { - const auto& v = *static_cast(ctx); - return priority_value(v.priority, v.W->at(e), v.capacity[static_cast(e)]); - }}; - auto r = support_route(g, PredDAGBuilder::ascending(*pe.support), src, pe.dests_ok, sel, on_w); + const WorkingPriority view {&c.W, g.capacity_units(), sel.priority}; + auto r = support_route(g, PredDAGBuilder::ascending(*pe.support), src, pe.dests_ok, sel, view.on_w()); Route out; out.edges = std::move(r.edges); if (!sel.multipath && !out.edges.empty()) out.cost = r.cost; @@ -313,21 +314,12 @@ Route cost_only_route(const Call& c, NodeId src) { std::optional creation_products(const Call& c, NodeId src) { const auto& pe = c.pe; const auto& sel = pe.config.selection; - struct View { - const Working* W; - std::span capacity; - EdgePriority priority; - }; - const View view {&c.W, c.g.capacity_units(), sel.priority}; - const PriorityFn on_w {&view, [](const void* ctx, EdgeId e) noexcept { - const auto& v = *static_cast(ctx); - return priority_value(v.priority, v.W->at(e), v.capacity[static_cast(e)]); - }}; - return cost_only_creation(c.g, pe.support, src, pe.dests_ok, sel, on_w, pe.config.placement, - pe.config.admission); + const WorkingPriority view {&c.W, c.g.capacity_units(), sel.priority}; + return cost_only_creation(c.g, pe.support, src, pe.dests_ok, sel, view.on_w(), pe.config.placement, + pe.config.admission); } -// CapacityAware: the canonical route of section 6 on the selection view `view` (dense): static +// CapacityAware: the canonical route on the selection view `view` (dense): static // eligibility, residual >= max(1, min_flow_bandwidth), Collapse on the view, the tight DAG or the // staged single path toward the allowed destinations, then the max_path_cost ceiling. std::optional search(const Call& c, std::size_t ri, std::span view) { @@ -364,8 +356,8 @@ Amount flow_t_max(const Graph& g, const KernelPlan& plan, std::span& plans, const Working& W) : plans_(plans) { @@ -439,7 +431,7 @@ class CohortEval { }; // Splits T over the cohort by round robin; a flow whose share changed (or is new) gets the -// allocation of its new share (APPROACH 9.2 stage 3 EB). +// allocation of its new share (the amounts stage of EqualBalanced). void set_cohort(std::vector& flows, Amount T) { std::vector parts(flows.size()); round_robin(T, parts); @@ -774,6 +766,9 @@ void stage3_lossy(Call& c, SourceRun& st) { const auto members = f.members(); c.W.gather(members, w_m); const auto step = lossy_step(*f.plan, offer, w_m); + // The 2^127 checks below can fail: finite offers bring an offered total up to the request + // total (below 2^127), and a +inf call then adds its injection. A drop counter (at most its + // flow's offered counter) can reach 2^127 only in such a call, and its check runs first. c.W.consume(members, step.carried); for (std::size_t m = 0; m < members.size(); ++m) { f.alloc[m] += step.carried[m]; @@ -808,7 +803,8 @@ void stage3_lossy(Call& c, SourceRun& st) { // ---------------------------------------------------------------- stage 4: growth -// fraction * v as the reduced rational "num/den" (or "num"), prototype 2's trace text. +// fraction * v as the reduced rational "num/den" (or "num"): the exact text the transaction trace +// records for the diminishing guard's threshold. std::string fraction_text(double fraction, Amount v) { const auto [m, x] = dyadic(fraction); U128 num = mul_u64(m, static_cast(v)); @@ -836,7 +832,8 @@ std::string fraction_text(double fraction, Amount v) { return dec(num) + "/2**" + std::to_string(k); } -// gains.sum < fraction * v, exactly (fraction the dyadic rational it is, v < 2^62). +// Compare gains.sum < fraction * v exactly, reading fraction as its exact stored double value; +// v < 2^62. bool below_fraction(Amount recent, double fraction, Amount v) { const auto [m, x] = dyadic(fraction); // x < 0 since fraction < 1 const U128 rhs = mul_u64(m, static_cast(v)); // below 2^115 @@ -887,7 +884,7 @@ void stage4(Call& c, SourceRun& st) { break; } if (pe.config.selection.multipath) { - // Revision 24 (owner): a multipath DAG already spans every equal-cost path, so a second + // A multipath DAG already spans every equal-cost path, so a second // flow on a structurally equal DAG gains only round-robin remainders: growth stops. A // repeated single path is a legitimate tunnel. bool equal = false; @@ -1166,7 +1163,7 @@ PlacementResult place_flows(PolicyEngine& pe, std::optional v, const Out for (const auto& [i, j] : fresh) drafts.push_back(draft_of(pe, runs[i].flows[j])); // Everything the publication of the epoch state needs is allocated before the commit. Counter128 requested = pe.requested; - if (v.has_value() && !requested.add(*v)) throw std::invalid_argument("the cumulative request counter would reach 2^127"); + if (v.has_value()) (void)requested.add(*v); // checked in place_impl auto next = next_cohorts(runs, k); Amount placed = 0; std::vector> outcomes; @@ -1217,10 +1214,10 @@ PlacementResult place_flows(PolicyEngine& pe, std::optional v, const Out // ---------------------------------------------------------------- Global -// The canonical per-source decomposition (9.1): sources ascending; for each, while it has -// supply, the lexicographically smallest EdgeId walk with positive remaining flow from it to the -// first destination it reaches, saturated by min(the walk's bottleneck, the remaining supply). -// Per node the first out-edge with remaining flow only moves forward (remaining flow never grows). +// Split flow by source in ascending NodeId. While a source has supply left, take the smallest +// EdgeId sequence with positive remaining flow, stopping at the first destination. Assign +// min(supply left, smallest remaining edge flow on that walk), then subtract it from the walk. +// Each node's out-edge cursor only advances: remaining flow never increases. std::vector>> decompose(const Graph& g, std::vector rem, std::span roster, std::span dests) { @@ -1233,7 +1230,6 @@ std::vector>> decompose(const Graph& g, st std::vector cur(row.begin(), row.end() - 1); std::vector>> out(roster.size()); std::vector walk; - std::vector mine; for (std::size_t i = 0; i < roster.size(); ++i) { const NodeId s = roster[i]; const auto si = static_cast(s); @@ -1349,7 +1345,7 @@ PlacementResult place_global(PolicyEngine& pe, std::optional v, const Ou // New records in source order (ascending NodeId), after the retained ones. std::stable_partition(drafts.begin(), drafts.end(), [](const Draft& d) { return d.id.has_value(); }); Counter128 requested = pe.requested; - if (v.has_value() && !requested.add(*v)) throw std::invalid_argument("the cumulative request counter would reach 2^127"); + if (v.has_value()) (void)requested.add(*v); // checked in place_impl PlacementResult out; out.placed = sol.placed - P; if (v.has_value()) out.remaining = *v - out.placed; @@ -1393,7 +1389,7 @@ PlacementResult place_global(PolicyEngine& pe, std::optional v, const Ou } if (outputs.bottleneck) out.min_cut = std::move(sol.min_cut); if (any_output(outputs)) prepare_outputs(pe, outputs, draft_edges(drafts), out); - auto curve = *out.cost_distribution; // the cumulative curve a later zero call reports (9.1) + auto curve = *out.cost_distribution; // the cumulative curve a later zero call reports if (staged != nullptr && *staged) (*staged)(); const auto ids = LedgerAccess::commit(pe.fg, pe.owner, drafts); // Committed: the epoch state follows (nothing below throws). @@ -1415,7 +1411,7 @@ void validate_config(const FlowPolicyConfig& cfg, std::size_t num_sources, std:: check_member(cfg.placement, "placement"); check_member(cfg.admission, "admission"); check_selection(cfg.selection); - check_kernel(cfg.placement, cfg.admission, cfg.selection.priority); + check_kernel_combination(cfg.placement, cfg.admission, cfg.selection.priority); if (cfg.admission == Admission::Lossy && (std::holds_alternative(r) || std::holds_alternative(r))) { invalid("Lossy admission is rejected with Global and CapacityAware routing (hop-by-hop forwarding without " @@ -1468,7 +1464,7 @@ using detail::PolicyEngine; namespace { // The engine of a new policy, bound to its ledger as the last step. A supplied frozen cache's hit -// is recorded in `tally` (NOTES R27): the public constructor publishes it once construction has +// is recorded in `tally`: the public constructor publishes it once construction has // succeeded, an evaluator once its whole call has. std::unique_ptr make_engine(FlowLedger& ledger, std::span sources, std::span destinations, FlowPolicyConfig config, @@ -1533,12 +1529,16 @@ std::unique_ptr make_engine(FlowLedger& ledger, std::span(s) + 1]) pe->roster.push_back(s); } } else { + // The static costs fix the roster; only a Stretch ceiling reads them again, so only it keeps them. + const auto* ca = std::get_if(&pe->config.routing); + const bool keep_costs = + ca != nullptr && ca->max_path_cost.has_value() && std::holds_alternative(*ca->max_path_cost); const auto dist = detail::static_costs(g, elig, pe->dests_ok, pe->sources); for (std::size_t i = 0; i < pe->sources.size(); ++i) { const NodeId s = pe->sources[i]; if (!node_ok(s) || dist[i] == kUnreachable) continue; pe->roster.push_back(s); - pe->baseline.push_back(dist[i]); + if (keep_costs) pe->baseline.push_back(dist[i]); } } pe->cohorts.resize(pe->roster.size()); @@ -1559,7 +1559,7 @@ FlowPolicy::FlowPolicy(FlowLedger& ledger, std::span sources, std: FlowPolicyConfig config, const Eligibility* elig, DagCache* cache, detail::FrozenTally& tally) : engine_(make_engine(ledger, sources, destinations, std::move(config), elig, cache, tally)) {} -// The destruction law (section 8): the records stay in the ledger as orphans. +// The destruction law: the records stay in the ledger as orphans. FlowPolicy::~FlowPolicy() { LedgerAccess::release(engine_->fg, engine_->owner); } namespace { @@ -1569,16 +1569,18 @@ namespace { // nothing changed (the Python binding builds its result objects there). PlacementResult place_impl(PolicyEngine& pe, std::optional volume, const OutputOptions& outputs, detail::Trace* trace, const std::function* staged) { - // Validation before any mutation, also before the zero shortcut (section 8). + // Validation before any mutation, also before the zero shortcut. if (volume.has_value() && (*volume < 0 || *volume >= kDomainLimit)) { throw std::invalid_argument("request " + std::to_string(*volume) + " is outside [0, 2^62) units (requests are integer units or +inf)"); } if (pe.infinite && volume.has_value()) { throw std::invalid_argument( - "a finite request after +inf is rejected within an epoch (the cumulative finite request is undefined; " - "rule 13)"); + "a finite request after +inf is rejected within an epoch (the cumulative finite request is undefined)"); } + // The only check of the cumulative request: nothing changes the requested total between here + // and the call's publication, so the later additions (below, in place_flows and in + // place_global) repeat this sum and cannot fail. if (volume.has_value()) { Counter128 probe = pe.requested; if (!probe.add(*volume)) throw std::invalid_argument("the cumulative request counter would reach 2^127"); @@ -1588,8 +1590,9 @@ PlacementResult place_impl(PolicyEngine& pe, std::optional volume, const out.remaining = 0; out.local_outcomes.reserve(pe.roster.size()); for (NodeId s : pe.roster) out.local_outcomes.emplace_back(s, Termination::Complete); - // Global: the cumulative curve (9.1: its amounts sum to placed_demand(); empty before the - // first placement); a zero call solves nothing, so it claims no cut (2.2's cap-zero payload). + // Global: the cumulative curve (its amounts sum to placed_demand(); empty before the + // first placement); a zero call solves nothing, so it claims no cut (as the flow core's + // payload for a cap of 0). if (detail::is(pe)) out.cost_distribution = pe.curve; detail::prepare_outputs(pe, outputs, detail::current_edges(pe), out); if (staged != nullptr && *staged) (*staged)(); @@ -1600,7 +1603,7 @@ PlacementResult place_impl(PolicyEngine& pe, std::optional volume, const out.termination = Termination::NoRoute; if (detail::is(pe)) { // No source reaches an allowed destination: the cumulative flow is 0 and maximal, so its - // marginal curve is empty and the full-residual cut of 2.2 is empty (the closure of the + // marginal curve is empty and the full-residual cut is empty (the closure of the // sources has no arc of positive view leaving it); None would claim a residual path. out.cost_distribution.emplace(); if (outputs.bottleneck) out.min_cut.emplace(); @@ -1608,7 +1611,7 @@ PlacementResult place_impl(PolicyEngine& pe, std::optional volume, const if (detail::kTraced && trace) trace->set("roster", detail::Trace::list()); detail::prepare_outputs(pe, outputs, detail::current_edges(pe), out); if (staged != nullptr && *staged) (*staged)(); - // The epoch records every positive request, also one that finds no roster (section 8); + // The epoch records every positive request, also one that finds no roster; // nothing below throws (the counter was checked above). if (volume.has_value()) { (void)pe.requested.add(*volume); diff --git a/src/graph.cpp b/src/graph.cpp index f70f645..4e1bff1 100644 --- a/src/graph.cpp +++ b/src/graph.cpp @@ -1,13 +1,12 @@ /* - Graph: the one graph type on integer units (APPROACH 2.1, 3). - - Construction validates the inputs in the documented order, then builds layout B' by stable - counting passes (each distributes items into buckets numbered by a small integer key and keeps - the earlier order inside a bucket). The cost rank of an edge is the position of its cost among - the K distinct costs, sorted. The id order is (src, cost, dst, input), whose rank is the public - EdgeId, so the out-edges of u are the id range [row_offsets[u], row_offsets[u + 1]); the - in-edges of v are listed in (cost, src, input) order. An edgeless graph is its validation and - two zero-filled offset arrays. + Graph: the one graph type on integer units. + + Validate inputs in the documented order, then build edge ids and CSR arrays. N is the node + count, E the edge count, and K the number of distinct costs. Stable counting passes group by + a small integer key while preserving order within each group. A cost's rank is its position + among sorted distinct costs. EdgeIds sort by (src, cost, dst, input); u's out-edges occupy + [row_offsets[u], row_offsets[u + 1]); v's in-edges sort by (cost, src, input). + An edgeless graph is its validation and two zero-filled offset arrays. * N K >= E: three passes (dst, cost rank, src; least significant first) give the id order, and two over the ids (cost rank, then dst) the reverse lists: within one (dst, cost) group the id order is (src, input). @@ -17,23 +16,23 @@ The offset arrays serve as their own cursors; a pass that advances them is followed by one that walks back, so no pass over the nodes restores them. - The ranks: each edge first gets its cost's first-appearance ordinal from an open-addressing - table (fixed mixing, linear probing, load at most 1/4, doubled from 64 up to 2^18 slots, each - growth rebuilt from the distinct costs in their order); an - edge whose cost equals the previous edge's reuses that ordinal without a lookup. The K - distinct costs are then radix-sorted. Hashing stops on the 65,537th distinct cost, or before - a probe (one table slot examined, the terminating one included, counted across the lookups - and the growths) would exceed 8E + 8 x 65,536; the ranks then come from a radix sort of all - costs (16-bit digits). Both paths give the same ranks. - - Memory: every retained array is allocated first, at its final size; until it is filled, each - serves as scratch. The ranks go into in_col_indices_; the hash table borrows capacity_ (keys) and - src_ (ordinals) while it has at most E slots, the distinct costs cost_, their sort dst_, - input_index_ and in_adj_edge_index_; the passes use in_adj_edge_index_ (the middle forward - pass), capacity_ and cost_ (the K rank cursors or the combined histograms), and the fallback - input_index_ and in_adj_edge_index_. The only other buffers are a table larger than E slots (its - own vectors, the old and new ones briefly together at a growth) and the fallback's 2^16 digit - counts. A table of at most E slots frees no separate buffer that the allocator could keep cached. + Assign each cost its first-appearance index (ordinal) with a hash table. Resolve collisions + by trying successive slots (linear probing). Use fixed mixing, at most 1/4 occupancy, and + double from 64 to 2^18 slots, rebuilding in distinct-cost order. Consecutive equal costs reuse + the previous ordinal without lookup. Radix-sort the K distinct costs, processing digits from + least to most significant. Stop hashing at the 65,537th distinct cost, or before examining + more than 8E + 8 x 65,536 slots. Count every examined slot, including the final slot, across + lookups and growths. On either limit, radix-sort all costs in 16-bit digits. + Both methods produce identical ranks. + + Allocate all retained arrays at final size, then use them as scratch before filling them. + Store ranks in in_col_indices_. While the hash table has <= E slots, capacity_ holds its keys + and src_ its ordinals. cost_ holds distinct costs; dst_, input_index_ and in_adj_edge_index_ + serve their sort. Counting passes use in_adj_edge_index_ for the middle forward pass, and + capacity_/cost_ for K rank cursors or combined histograms. The fallback uses input_index_ and + in_adj_edge_index_. Extra buffers are limited to tables > E slots (old and new coexist during + growth) and the fallback's 2^16 digit counts. Smaller tables free no separate buffer that the + allocator could retain. */ #include "netgraph/core/graph.hpp" @@ -48,7 +47,7 @@ #include #include "netgraph/core/detail/graph_access.hpp" -#include "netgraph/core/detail/private_hooks.hpp" +#include "netgraph/core/detail/hooks_flag.hpp" #include "netgraph/core/detail/uid.hpp" namespace netgraph::core { @@ -164,16 +163,19 @@ struct RankOutcome { std::int64_t budget {0}; }; -// Ranks from a sort of all E costs: a stable LSD radix sort of the input positions by cost, -// 16 bits per pass, then one scan of the sorted positions. Digits above the largest cost's bit -// length are not visited, and a pass whose digit is the same for every cost is skipped. -// `a` and `b` (E slots each) hold the positions; `count` has 2^16 entries. +// Ranks from a stable LSD radix sort of the positions of `cost` by cost, kBits bits per pass (all +// E costs and 16 bits on the fallback path, the K distinct costs and 8 bits on the hashed path), +// then one scan of the sorted positions. Digits above the largest cost's bit length are not +// visited, and a pass whose digit is the same for every cost is skipped. `a` and `b` +// (cost.size() slots each) hold the positions; `count` has 2^kBits entries. `cost` is never +// empty: ranks_by_hash returns Hashed for an edgeless graph before calling this, a successful +// collection of positive costs keeps at least one, and the fallback sort of all costs runs only +// after hashing failed, which needs an edge. template std::int64_t ranks_by_sort(std::span cost, Cost max_cost, std::span rank, std::span a, std::span b, std::span count) { const std::size_t m = cost.size(); - if (m == 0) return 0; constexpr std::uint64_t kMask = (std::uint64_t {1} << kBits) - 1; std::iota(a.begin(), a.end(), 0); const auto top = static_cast(max_cost); @@ -269,11 +271,11 @@ RankOutcome ranks_by_hash(std::span cost, std::span ra return out; } -// Offsets from cursors that a scatter advanced to the ends: off[k] = start(k + 1) becomes -// off[k] = start(k), off[0] = 0 (the last entry of an (N + 1)-array keeps its value). -// Counts in off[0, n) become inclusive sums (each node's end), off[n] the total: a scatter that -// decrements these cursors, walking its input backwards, leaves the starts (stable, no shift). -// The sum stays in a register (a sum through memory chains every node on the previous store). +// Convert counts in off[0, n) to cumulative ends; off[n] becomes the total. Scattering input +// backwards while decrementing these cursors leaves group starts and preserves order within +// each group. Forward scattering leaves ends; ends_to_starts below shifts those back to starts +// (off[k] = off[k - 1] for every k >= 1, then off[0] = 0). Keep the running sum in a register so +// each iteration does not wait for the previous store. void counts_to_ends(std::span off) noexcept { std::int32_t sum = 0; for (std::size_t k = 0; k + 1 < off.size(); ++k) { @@ -311,7 +313,8 @@ Amount to_units(double x, double resolution) { if (x < 0.0) { throw std::invalid_argument("to_units: a negative amount has no unit value"); } - // x / q is exact (q is a power of two) unless it overflows to infinity. + // x / q is exact (q is a power of two) unless it overflows to infinity or falls below the + // normal range (below 2^-1022 it may lose low bits; it then rounds to 0 units either way). const double y = std::ldexp(x, -k); constexpr double kTwo52 = 4503599627370496.0; // 2^52: doubles at or above it are integers constexpr double kLimit = 4611686018427387904.0; // 2^62 @@ -363,7 +366,7 @@ Graph::Graph(std::int32_t num_nodes, if (m > static_cast(std::numeric_limits::max())) { throw std::invalid_argument("the number of edges exceeds INT32_MAX (array length)"); } - // Zero or negative costs (rule 28). + // Zero or negative costs (costs are positive). Cost max_cost = 0; Cost cost_gcd = 0; for (std::size_t i = 0; i < m; ++i) { @@ -445,17 +448,17 @@ Graph::Graph(std::int32_t num_nodes, c.last_budget = ro.budget; } #endif - // An edgeless graph is its validation and its two zero-filled offset arrays (APPROACH 3). + // An edgeless graph is its validation and its two zero-filled offset arrays. if (m == 0) return; // The passes. With few nodes times few costs (N K < E), the cost rank rides with an endpoint as - // one key: forward by dst, then by (src, rank); reverse by (dst, rank) over the ids (proposal P4). + // one key: forward by dst, then by (src, rank); reverse by (dst, rank) over the ids. // Otherwise the five single-key passes: forward by dst, rank, src; reverse by rank, then dst. - // Both give the same orders. P4's two (N K + 1)-entry histograms live in the not-yet-filled - // capacity and cost arrays (N K + 1 <= E), so its work is O(E). + // Both give the same orders. The combined-key passes keep their two (N K + 1)-entry histograms + // in the not-yet-filled capacity and cost arrays (N K + 1 <= E), so their work is O(E). const bool fused = n * kk < m; - const std::span by_dst_rank(capacity_); // P4: (dst, rank) histogram, then cursors - const std::span by_src_rank(cost_); // P4: (src, rank) histogram, then cursors + const std::span by_dst_rank(capacity_); // fused: (dst, rank) histogram, then cursors + const std::span by_src_rank(cost_); // fused: (src, rank) histogram, then cursors if (fused) { #if NETGRAPH_CORE_PRIVATE_HOOKS ++detail::thread_construction_counts().fused; @@ -463,7 +466,7 @@ Graph::Graph(std::int32_t num_nodes, const std::size_t nk = n * kk; std::fill(by_dst_rank.begin(), by_dst_rank.begin() + static_cast(nk + 1), 0); std::fill(by_src_rank.begin(), by_src_rank.begin() + static_cast(nk + 1), 0); - // One counter update per loop: two in one loop ran several times slower (NOTES section 1). + // Keep the counter updates in separate loops for speed. for (std::size_t i = 0; i < m; ++i) ++by_dst_rank[static_cast(dst[i]) * kk + static_cast(rank[i]) + 1]; for (std::size_t i = 0; i < m; ++i) ++by_src_rank[static_cast(src[i]) * kk + static_cast(rank[i]) + 1]; for (std::size_t x = 0, sum = 0; x <= nk; ++x) sum = static_cast(by_dst_rank[x] += static_cast(sum)); @@ -479,8 +482,9 @@ Graph::Graph(std::int32_t num_nodes, } // Forward pass 1, by dst, from input order. The reverse offsets serve as cursors, so no pass - // over the nodes restores them: P4 walks the input backwards from the ends to the starts; the - // single-key passes walk it forwards from the starts to the ends, and reverse pass 2 walks back. + // over the nodes restores them: the combined-key passes walk the input backwards from the ends + // to the starts; the single-key passes walk it forwards from the starts to the ends, and + // reverse pass 2 walks back. if (fused) { for (std::size_t i = m; i-- > 0;) { order[static_cast(--in_row_offsets_[static_cast(dst[i])])] = static_cast(i); diff --git a/src/kernels.cpp b/src/kernels.cpp index 899bc83..251b6f2 100644 --- a/src/kernels.cpp +++ b/src/kernels.cpp @@ -1,10 +1,11 @@ /* - Apportionment and the placement kernels in units (APPROACH 2.1, 7 and 16). + Apportionment and the placement kernels in units. T is a flow's total. - Every amount is an int64 number of units below 2^62: a flow's T is bounded by its source - members' view, every inflow by T, every share by its node's inflow. Highest averages compares - quotients by exact 128-bit cross products (weights and divisors below 2^63, products below - 2^126); lower quotas floor(I * w / W) are 128-bit products divided by W < 2^62. + Every amount is an int64 number of units below 2^62: T is bounded by the view on source + members, each node's inflow by T, and each share by that inflow. Highest averages compares + w_i/d_i and w_j/d_j through w_i*d_j and w_j*d_i (operands < 2^63, products < 2^126). The + lower quota floor(I*w/W) uses a 128-bit product, with inflow I, weight w and weight sum + W < 2^62. */ #include "netgraph/core/detail/kernels.hpp" @@ -81,10 +82,7 @@ void highest_averages(Amount total, std::span weights, std::span(at, num_dsts); @@ -172,11 +177,12 @@ KernelPlan& KernelPlan::operator=(KernelPlan&& other) noexcept { namespace { -// Per-thread per-node state of build_split, indexed by NodeId and valid for a node only -// when its stamp is the current epoch (no clearing between calls; a call that throws leaves stale -// entries behind an old epoch). One array of slots, so growing it either succeeds whole or leaves -// the previous array in place (review-1b-fixes N1: separately grown arrays could be left at -// different sizes by a failed allocation). +// Per-thread build_split state, by NodeId, for its backward depth-first search (DFS) and +// forward pass. A call advances an epoch (a numeric stamp); a slot is valid only if its stamp +// matches. Later calls ignore stale entries, including after exceptions; only stamp wraparound +// (after 2^32 calls on one thread, which a long-running process reaches) clears all stamps. One +// array holds every node's fields, so a failed growth leaves the old array intact (the strong +// guarantee); separate arrays could end at mismatched sizes. struct DagScratch { struct Node { std::uint32_t stamp {0}; @@ -218,19 +224,16 @@ DagScratch& dag_scratch() { return s; } -// The split structure of a flow from src to the destination set over a DAG, on the DAG's own -// predecessor lists (no local renumbering, no arc arrays, no CSR to build), restricted to the -// edges `keep(e)` accepts: the kept edges on some walk from src to a destination (destinations -// terminal) become plan.members, with the plan's topological fields. One pass: a backward DFS -// from the destinations over the predecessor entries lists the nodes that reach a destination in -// postorder (every node after its parents, a topological order); a forward pass over that order -// marks the nodes the source reaches. Members ascend by EdgeId and B' ids rank edges by source -// first, so the members of one tail are consecutive. Any topological order gives the same -// allocation (a node splits once its inflow is complete). -// -// With `cost`, the forward pass also computes the minimum walk cost from the source to a -// destination over the members (kUnreachable without members): the DP runs in the same -// topological order. Without `out` (route_cost) the pass ends with the DP: no plan is built. +// Build plan.members from the DAG's incoming-edge lists: keep edges accepted by keep(e) that +// lie on a src-to-destination walk; exclude edges leaving destinations. No node renumbering, +// extra arc arrays or adjacency offsets are needed. A backward DFS from destinations lists +// each node after its parents (postorder, also a topological order here). +// A forward pass then marks nodes reachable from src. Members ascend by EdgeId, so one tail's +// members are consecutive. Any topological order gives the same allocation because each node +// splits only after receiving all its inflow. +// With `cost`, the forward pass computes minimum cost to each node from its parents' costs +// (dynamic programming, DP), giving the minimum source-to-destination cost over members, or +// kUnreachable if none exist. Without `out` (route_cost), stop there and build no plan. template void build_split(const Graph& g, const PredDAG& dag, NodeId src, std::span dsts, Keep keep, KernelPlan* out, Cost* cost) { @@ -239,8 +242,8 @@ void build_split(const Graph& g, const PredDAG& dag, NodeId src, std::span(g.num_nodes())); - // The DAG's sparse storage scattered into the per-node slots (O(member nodes)); every other - // node is touched with no entries. + // The DAG's sparse storage scattered into the per-node slots (O(member nodes)); a node outside + // it has no entries when first touched (a destination, src or a parent the search meets). { const auto nodes = PredDAGBuilder::member_nodes(dag); const auto offs = PredDAGBuilder::member_offsets(dag); @@ -324,9 +327,8 @@ void build_split(const Graph& g, const PredDAG& dag, NodeId src, std::span(m); } else if (static_cast(nt.first + nt.count) != m) { - throw std::logic_error("kernel plan: the members of a node are not consecutive (EdgeIds not in B' order)"); + throw std::logic_error("kernel plan: the members of a node are not consecutive (member EdgeIds not grouped by source node)"); } ++nt.count; } @@ -463,10 +465,11 @@ KernelPlan make_route_plan(const Graph& g, FlowPlacement placement, Admission ad namespace { // Per-thread state of cost_only_creation. Per node (by NodeId) a slot valid only under the -// current epoch (DagScratch's pattern: nothing is cleared between calls, a call that throws leaves -// stale slots behind an old epoch, and the one array of slots grows whole or not at all); every -// other buffer is indexed by the reached nodes' local indices (their rank in ascending NodeId) or -// by route position, and is rewritten before it is read. +// current epoch (DagScratch's pattern: nothing is cleared between calls except on stamp +// wraparound, a call that throws leaves stale slots behind an old epoch, and the one array of +// slots grows whole or not at all); every other buffer is indexed by the reached nodes' local +// indices (their rank in ascending NodeId) or by route position, and is rewritten before it is +// read. struct CreationScratch { struct Node { std::uint32_t stamp {0}; @@ -534,7 +537,8 @@ std::size_t lower_bound_from(std::span a, std::size_t hint, EdgeId } hi = std::min(hi, n); } else { - // The answer lies in [0, hint] (hint == n, or a[hint] >= x): a[hi] >= x or hi == n throughout. + // The answer lies in [0, min(hint, n)] (hint >= n, or a[hint] >= x): a[hi] >= x or hi == n + // throughout. hi = std::min(hint, n); for (std::size_t step = 1;; step <<= 1) { if (hi < step) { @@ -572,7 +576,7 @@ std::optional cost_only_creation(const Graph& g, const std::sh s.begin(static_cast(g.num_nodes())); for (NodeId d : dsts) s.touch(d).target = 1; // support_route's walk over the support from src: every reached node keeps its support - // out-edges as one range (B' ids rank edges by source first: one tail's edges are consecutive). + // out-edges as one range (EdgeIds rank edges by source first: one tail's edges are consecutive). s.reached.clear(); s.touch(src).reached = 1; s.reached.push_back(src); @@ -812,7 +816,7 @@ namespace { // A floating-point estimate of T_max: the fraction f of the source's inflow that each member // carries under the plan's split (1/k per round-robin member, w/W per Weighted member), then // min over members of view / f. It only chooses the first probe of the exact search below -// (APPROACH 7, revision 26: approximate arithmetic may choose probes, nothing else). +// (approximate arithmetic may choose probes, nothing else). double estimate_t_max(const KernelPlan& plan, std::span view_m) { thread_local std::vector f; f.assign(plan.topo.size(), 0.0); @@ -840,17 +844,15 @@ double estimate_t_max(const KernelPlan& plan, std::span view_m) { constexpr std::int32_t kProbeBudget = 62; // a plain bisection over units below 2^62 -// The largest T in [lo, hi) whose allocation fits view_m, given that alloc(lo) fits and alloc(hi) -// does not (APPROACH 7 and 16.3, revision 26). fits(T) is exact (integer allocation compared -// member by member with the view) and monotone in T (the allocation is non-decreasing member by -// member: house monotonicity), so the result is exact whatever probes are taken. The probes: one -// at the floating-point estimate (the only approximate arithmetic, which chooses that probe and -// nothing else), then a galloping bracket, then bisection; both bracket ends are always exact -// probe results (or the given ends). The number of probes stays within kProbeBudget = 62, the -// bound of a plain bisection: a seed or galloping probe is taken only while the probes made so -// far, that probe and a worst-case bisection of the current bracket fit in the budget; the bound -// is checked on return. With `best`, every fitting probe's allocation is kept there (swapped in), -// so on return it holds alloc(result) whenever result > the given lo. +// Find the largest fitting T in [lo, hi): alloc(lo) fits view_m; alloc(hi) does not. +// Fit checks compare integer amounts per member exactly. Increasing T never reduces a +// member's allocation, so these bounds remain valid regardless of probe choices. +// First try a floating-point estimate, then double step sizes to narrow the bounds, then +// bisect. Only probe choice is approximate; bounds always come from exact checks or the given +// ends. Allow an estimate or doubling probe only if it and the worst-case remaining bisection +// fit within kProbeBudget = 62, counting probes already made. Check the budget on return. +// Swap each fitting allocation into `best` when supplied; on return it holds alloc(result) +// whenever result is greater than the original lo. Amount largest_fit(const KernelPlan& plan, std::span view_m, Amount lo, Amount hi, std::vector& probe, std::vector* best, std::int32_t& probes) { auto fits = [&](Amount t) { diff --git a/src/pred_dag.cpp b/src/pred_dag.cpp index 8f5aac5..1ed17da 100644 --- a/src/pred_dag.cpp +++ b/src/pred_dag.cpp @@ -1,5 +1,5 @@ /* - PredDAG and Path (APPROACH 5): immutable, graph-bound route structures validated once at + PredDAG and Path: immutable, graph-bound route structures validated once at construction, in the documented order, before any traversal. */ #include "netgraph/core/pred_dag.hpp" @@ -77,7 +77,8 @@ PredDAG PredDAG::from_csr(const Graph& g, std::span offsets, seen[e] = 1; } } - // Acyclic: Kahn over the entries (a self-loop is a cycle). + // Repeatedly remove nodes with no remaining predecessors, with their outgoing entries + // (Kahn's algorithm). Entries left over mean a cycle; a self-loop is one. { std::vector out_count(n + 1, 0); std::vector indeg(n, 0); diff --git a/src/search.cpp b/src/search.cpp index 0488ed0..010281e 100644 --- a/src/search.cpp +++ b/src/search.cpp @@ -1,16 +1,16 @@ /* - The one traversal core of every search (detail/traversal.hpp; APPROACH 6 and 14), the public + The one traversal core of every search (detail/traversal.hpp), the public spf, and the constructors of the search options. Distances are int64 path costs: every cost is positive and the sum of all costs is below 2^62, so no simple path cost overflows and kUnreachable (INT64_MAX) never collides. - The queues pop in (distance, node) order: the heap by its key, the buckets because each bucket - holds one distance at a time (pending distances lie in (d, d + max_cost] for the distance d - popped last, all multiples of the cost gcd) and the active bucket is sorted by node. A node is - pushed only when its distance strictly improves, so a bucket holds a node at most once. Pop - order among equal distances never changes a result: positive costs make every tight - predecessor of a node strictly nearer, hence settled before it. + Both queues pop in (distance, node) order: the heap by its key, the cyclic buckets because + each holds one distance at a time and the active bucket is sorted by node. After popping + distance d, pending distances lie in [d, d + max_cost], all multiples of cost_gcd. A node is + pushed only on a strict improvement, so it appears at most once per bucket. Equal-distance pop + order cannot change the result: positive costs make every tight predecessor of a node + strictly nearer, so it is finalised first. */ #include "netgraph/core/search.hpp" @@ -23,9 +23,11 @@ #include #include +#include "netgraph/core/detail/edge_amounts.hpp" #include "netgraph/core/detail/endpoints.hpp" #include "netgraph/core/detail/enum_domain.hpp" #include "netgraph/core/detail/graph_access.hpp" +#include "netgraph/core/detail/hooks_flag.hpp" #include "netgraph/core/detail/int128.hpp" #include "netgraph/core/detail/pred_dag_builder.hpp" #include "netgraph/core/detail/traversal.hpp" @@ -386,9 +388,10 @@ void mark(Workspace& ws, NodeId v, std::uint8_t bit) noexcept { f = static_cast(f | bit); } -// A KSP spur's rules (forward searches only): the spur node, its banned out-edges (Expand) or -// the banned heads of its transitions (Collapse: the heads carry kBannedHead), and the excluded -// prefix nodes (kExcluded). +// A KSP spur is the node where an alternative path leaves an earlier path's prefix. Spur rules +// apply to forward searches only: excluded prefix nodes (kExcluded) prevent cycles. At the spur, +// multi_edge = true (Expand) bans the listed edges; false (Collapse) bans every edge to a head +// marked kBannedHead. struct Spur { NodeId node {-1}; std::span banned_edges {}; @@ -499,9 +502,6 @@ Cost run(Workspace& ws, const SearchIn& in) { ws.buckets.begin(bucket_width(g), std::max(1, g.cost_gcd()), ws.dist.size(), in.roots); return forward ? loop(ws, ws.buckets, in) : loop(ws, ws.buckets, in); } -#if NETGRAPH_CORE_PRIVATE_HOOKS - ++thread_queue_counts().heap; -#endif ws.heap.begin(in.roots); return forward ? loop(ws, ws.heap, in) : loop(ws, ws.heap, in); } @@ -578,7 +578,7 @@ PredDAG emit_full(Workspace& ws, const Emit& em) { via = list; parents.resize(via.size()); for (std::size_t k = 0; k < via.size(); ++k) parents[k] = esrc[static_cast(via[k])]; - // Ascending EdgeId = grouped by source (B' ids rank by source first), ascending within one. + // Ascending EdgeId = grouped by source (EdgeIds rank by source first), ascending within one. std::vector slot(n + 1, 0); for (NodeId p : parents) ++slot[static_cast(p) + 1]; for (std::size_t v = 1; v <= n; ++v) slot[v] += slot[v - 1]; @@ -659,14 +659,14 @@ void prune(Workspace& ws, const Emit& em, std::span targets, Cost } } -// The staged canonical single path (APPROACH 6) on a tight DAG: `edges` (ws.pruned, any order) and -// its nodes `nodes` (ws.kept, each with kKeep), `pot(v)` the potential of a node (its forward -// distance from the walks' starts: 0 at the starts, `total` at the ends; a topological order). -// Stage 2 under PreferHigherPriority (`prio`): B*, the max-min priority over the DAG's walks, -// capped by `cap` (a KSP root prefix's bottleneck), and the DAG restricted to priority >= B*. -// Stage 3: the reverse hop count h from the ends and the greedy walk from the starts of minimum -// h, each step the smallest edge whose head has h(v) = h(u) - 1 (prefix-monotone, so the walk is -// the lexicographic minimum and simple). +// Choose one path from tight DAG `edges` (ws.pruned, any order) and `nodes` (ws.kept, kKeep). +// pot(v) is distance from the starts: 0 there, `total` at the ends. Increasing pot orders +// every predecessor before its child (topological order). +// Under PreferHigherPriority (`prio`), first maximise the smallest edge priority on a walk +// (its bottleneck), capped by `cap` for a KSP prefix; call this B*. Keep edges with priority >= B*. +// Then compute minimum remaining hops h from the ends. Start where h is smallest and repeatedly +// take the lowest EdgeId with h(v) = h(u) - 1. Decreasing h prevents cycles; choosing the smallest +// eligible id at each position gives the smallest EdgeId sequence among minimum-hop paths. struct Walk { std::vector edges {}; // in walk order Cost cost {0}; @@ -822,23 +822,7 @@ Emit emit_of(const Graph& g, Direction direction, const PathSelection& selection return em; } -void check_residual(const Graph& g, std::span residual) { - const auto m = static_cast(g.num_edges()); - if (residual.size() != m) { - throw std::invalid_argument("residual has length " + std::to_string(residual.size()) + ", expected " + - std::to_string(m) + " (one entry per edge)"); - } - const auto capacity = g.capacity_units(); - for (std::size_t e = 0; e < m; ++e) { - if (residual[e] < 0 || residual[e] > capacity[e]) { - throw std::invalid_argument("residual[" + std::to_string(e) + "] = " + std::to_string(residual[e]) + - " is outside [0, capacity_units[" + std::to_string(e) + "] = " + - std::to_string(capacity[e]) + "]"); - } - } -} - -// One KSP spur search (APPROACH 6, rule 10): the canonical walk from `spur` to `dst` over the +// One KSP spur search: the canonical walk from `spur` to `dst` over the // candidates of `gate`, without the excluded prefix nodes, with the spur node's banned // transitions (Expand: the banned edges; Collapse: every edge to a banned head, no re-selection), // B* capped by `cap` (the root prefix's bottleneck). nullopt when dst is unreachable. @@ -916,7 +900,7 @@ std::vector enumerate_paths(const Graph& g, const PredDAG& dag, NodeId src if ((ws.flags[static_cast(src)] & kKeep) == 0) return out; // src is not on a walk to dst for (std::size_t i = 0; i < kept.size(); ++i) ws.loc[static_cast(kept[i])] = static_cast(i); auto local = [&](NodeId v) { return static_cast(ws.loc[static_cast(v)]); }; - // The hops: per child, its entries come in ascending via, so grouped by parent (B' ids rank by + // The hops: per child, its entries come in ascending via, so grouped by parent (EdgeIds rank by // source first); a hop is one parent's run (its members ascending, its cost the cheapest, its // key the lowest id), or one member when split. struct Hop { @@ -960,7 +944,8 @@ std::vector enumerate_paths(const Graph& g, const PredDAG& dag, NodeId src out_hop[static_cast(fill[static_cast(hops[h].tail)]++)] = static_cast(h); } } - // Per node: its completions found so far (sorted) and the heap of the next completion per hop. + // A completion is a walk suffix from a node to dst. Per node: the completions found so far + // (sorted) and a heap holding the next completion through each hop. struct Elem { Cost cost; std::int64_t hops; @@ -1158,7 +1143,7 @@ SearchRoute support_route(const Graph& g, std::span support, NodeI if (!selection.multi_edge) { // One member per (u, v) by select_adjacency on the view (no gating: the support's members are // all statically eligible). The members of a pair in the support have one cost, so they are - // consecutive in id order (B' ranks by (src, cost, dst, input)). + // consecutive in id order (EdgeIds rank by (src, cost, dst, input)). std::size_t w = 0; for (std::size_t i = 0; i < route.size();) { const auto ei = static_cast(route[i]); @@ -1187,8 +1172,7 @@ SearchRoute support_route(const Graph& g, std::span support, NodeI } PredDAG static_support(const Graph& g, std::span roots, Direction direction, const Eligibility* elig) { - const auto root_set = node_set(roots, g.num_nodes(), "roots"); - const auto live_roots = live(root_set, elig); + const auto live_roots = live(roots, elig); if (live_roots.empty()) return PredDAGBuilder::empty(g); Lease lease(static_cast(g.num_nodes())); Workspace& ws = lease.ws(); @@ -1207,10 +1191,7 @@ PredDAG static_support(const Graph& g, std::span roots, Direction std::vector static_costs(const Graph& g, const Eligibility* elig, std::span dests, std::span sources) { std::vector out(sources.size(), kInf); - std::vector roots(dests.begin(), dests.end()); - std::sort(roots.begin(), roots.end()); - roots.erase(std::unique(roots.begin(), roots.end()), roots.end()); - roots = live(roots, elig); + const auto roots = live(dests, elig); if (roots.empty()) return out; Lease lease(static_cast(g.num_nodes())); Workspace& ws = lease.ws(); @@ -1266,7 +1247,7 @@ SpfResult spf(const Graph& g, std::span roots, const SpfOptions& o throw std::invalid_argument("multipath = false requires targets (the single path joins a root to a target)"); } const std::span residual = opts.residual.value_or(std::span {}); - if (opts.residual.has_value()) check_residual(g, residual); + if (opts.residual.has_value()) check_edge_amounts(g, residual, "residual"); if (opts.min_residual < 1) { throw std::invalid_argument("min_residual must be at least 1 unit (got " + std::to_string(opts.min_residual) + ")"); } @@ -1327,20 +1308,20 @@ std::vector> ksp(const Graph& g, NodeId src, NodeId dst, c check_selection(opts.selection); const NodeId s1[1] = {src}; const NodeId t1[1] = {dst}; - (void)node_set(s1, g.num_nodes(), "src"); - (void)node_set(t1, g.num_nodes(), "dst"); + check_range(s1, g.num_nodes(), "src"); + check_range(t1, g.num_nodes(), "dst"); check_disjoint(s1, t1, "src", "dst"); if (opts.k < 1) throw std::invalid_argument("k must be >= 1 (got " + std::to_string(opts.k) + ")"); check_ceiling(opts.max_path_cost); const std::span residual = opts.residual.value_or(std::span {}); - if (opts.residual.has_value()) check_residual(g, residual); + if (opts.residual.has_value()) check_edge_amounts(g, residual, "residual"); if (opts.elig != nullptr && opts.elig->graph_uid() != g.uid()) { throw std::invalid_argument("foreign Eligibility: built for another graph"); } std::vector> out; if (opts.elig != nullptr && (!opts.elig->node_ok(src) || !opts.elig->node_ok(dst))) return out; // The ceiling: Absolute(c), or Stretch(f) times the static shortest cost of the member graph - // under the Eligibility (residual ignored: the policy ceiling's baseline of 9.1); no static route + // under the Eligibility (residual ignored, as for the CapacityAware ceiling); no static route // gives []. const auto* absolute = opts.max_path_cost.has_value() ? std::get_if(&*opts.max_path_cost) : nullptr; const auto* stretch = opts.max_path_cost.has_value() ? std::get_if(&*opts.max_path_cost) : nullptr; @@ -1358,11 +1339,12 @@ std::vector> ksp(const Graph& g, NodeId src, NodeId dst, c const PriorityValues values {&g, opts.selection.priority, residual}; const PriorityFn prio = PriorityFn::of(values); const bool prefer = opts.selection.tie_break == EdgeTieBreak::PreferHigherPriority; - // Yen deviations (APPROACH 6): the first path and every spur path are the canonical walk from - // the spur node under the spur's exclusions; roots are matched by edge prefix; a deviation bans - // the next edge of every accepted path with that prefix (Expand) or that transition (Collapse); - // the prefix's vertices are excluded; candidates live in an ordered set keyed by the tuple - // (structural deduplication). + // Yen's method finds alternatives by keeping a prefix and replacing its suffix at a spur. + // The first path and each spur suffix use the canonical search with that spur's exclusions. + // Match prefixes by EdgeId sequence. Ban the next edge of every accepted matching path + // (Expand), or its entire (u, v) transition (Collapse); exclude earlier prefix vertices to + // prevent cycles. Store candidates once in a set ordered by (cost, decreasing bottleneck + // under PreferHigherPriority, hops, EdgeId sequence). struct Cand { Cost cost {0}; Priority bottleneck {0, 1, true}; @@ -1411,10 +1393,10 @@ std::vector> ksp(const Graph& g, NodeId src, NodeId dst, c c.bottleneck = compare(sp->bottleneck, prefix_bottleneck) < 0 ? sp->bottleneck : prefix_bottleneck; c.edges.assign(last.begin(), last.begin() + static_cast(j)); c.edges.insert(c.edges.end(), sp->edges.begin(), sp->edges.end()); - // An accepted path never returns (its next edge after this prefix is banned); checked - // anyway, as the prototype does. - const bool known = std::any_of(accepted.begin(), accepted.end(), [&](const Cand& a) { return a.edges == c.edges; }); - if (!known) candidates.insert(std::move(c)); + // Never an accepted path: every accepted path with this prefix has its next edge (Expand) + // or its next transition (Collapse) banned at the spur, and the candidate's next edge is + // the spur walk's first. Only a pending candidate can be equal; the set keeps one. + candidates.insert(std::move(c)); } prefix_cost += cost[static_cast(last[j])]; if (prefer) { @@ -1439,8 +1421,8 @@ std::vector resolve_to_paths(const Graph& g, const PredDAG& dag, NodeId sr if (dag.graph_uid() != g.uid()) throw std::invalid_argument("foreign PredDAG: built for another graph"); const NodeId s1[1] = {src}; const NodeId t1[1] = {dst}; - (void)node_set(s1, g.num_nodes(), "src"); - (void)node_set(t1, g.num_nodes(), "dst"); + check_range(s1, g.num_nodes(), "src"); + check_range(t1, g.num_nodes(), "dst"); check_disjoint(s1, t1, "src", "dst"); if (max_paths.has_value() && *max_paths < 1) { throw std::invalid_argument("max_paths must be >= 1 (got " + std::to_string(*max_paths) + ")"); diff --git a/tests/cpp/cost_only_creation_tests.cpp b/tests/cpp/cost_only_creation_tests.cpp index 0f0a89c..7fd5d21 100644 --- a/tests/cpp/cost_only_creation_tests.cpp +++ b/tests/cpp/cost_only_creation_tests.cpp @@ -1,16 +1,21 @@ -// The CostOnly creation products in one pass (APPROACH 9.1, 10; task 1d-msd): cost_only_creation -// against the functions it replaces on the policy's path, kept as the reference (support_route's -// route, the record bundle of bundle_of, make_plan's plan and cost on that bundle), on random -// graphs for every source, selection and kernel: it answers exactly where that path's members are -// the whole route, with the same bundle (the support itself when the route is all of it), plan and -// cost. On crafted supports that break its preconditions (edges leaving a destination, dead ends, -// members below one unit, a cycle) it answers nothing or the reference's own result. Also -// lower_bound_from against std::lower_bound from every hint, and the plan's one block under copy -// and move. +// The CostOnly creation products in one pass: cost_only_creation +// against the general path the policy takes wherever the one pass declines (support_route's route, +// the record bundle of bundle_of, make_plan's plan and cost on that bundle), on random graphs for +// every source, selection and kernel: it answers exactly where that path's members are the whole +// route, with the same bundle (the support itself when the route is all of it), plan and cost. On +// crafted supports that break its preconditions (edges leaving a destination, dead ends, members +// below one unit, a cycle) it answers nothing or the general path's own result. Also +// lower_bound_from against std::lower_bound from every hint, the plan's one block under copy +// and move, and the plan comparison of test_utils.hpp against a plan changed in each field. The +// general path is production code, not an independent reference: its parts are +// checked independently elsewhere (support_route against search_reference.hpp, also under +// residual priority views, in Search.InternalEntriesMatchThePublicSearch; make_plan against the +// walk definition for every kernel in kernels_tests.cpp). #include #include #include +#include #include #include #include @@ -19,7 +24,7 @@ #include #include #include -#include +#include #include #include "netgraph/core/detail/kernels.hpp" @@ -33,47 +38,28 @@ using namespace netgraph::core::detail; namespace { -template -std::vector> vec(std::span v) { - return std::vector>(v.begin(), v.end()); -} - +// Every field of two plans equal (plan_differences, test_utils.hpp). void expect_same_plan(const KernelPlan& got, const KernelPlan& want, const std::string& where) { - EXPECT_EQ(got.placement, want.placement) << where; - EXPECT_EQ(got.admission, want.admission) << where; - EXPECT_EQ(got.src, want.src) << where; - EXPECT_EQ(vec(got.dsts), vec(want.dsts)) << where; - EXPECT_EQ(got.route, want.route) << where; - EXPECT_EQ(got.members, want.members) << where; - EXPECT_EQ(got.weights, want.weights) << where; - EXPECT_EQ(vec(got.topo), vec(want.topo)) << where; - EXPECT_EQ(vec(got.out_begin), vec(want.out_begin)) << where; - EXPECT_EQ(vec(got.out_end), vec(want.out_end)) << where; - EXPECT_EQ(vec(got.head_pos), vec(want.head_pos)) << where; - EXPECT_EQ(vec(got.terminal), vec(want.terminal)) << where; - EXPECT_EQ(got.src_out_begin, want.src_out_begin) << where; - EXPECT_EQ(got.src_out_end, want.src_out_end) << where; + EXPECT_EQ(plan_differences(got, want), std::vector {}) << where; } -// The policy's CostOnly creation before task 1d-msd (flow_policy.cpp: cost_only_route, bundle_of, -// new_flow's plan_on): the reference the one-pass products must equal. -struct Reference { +// The policy's general CostOnly creation (flow_policy.cpp: cost_only_route, bundle_of, new_flow's +// plan_on), taken wherever the one pass declines; where the one pass answers, it must equal this. +struct GeneralPath { std::vector route; std::shared_ptr bundle; KernelPlan plan; Cost cost {kUnreachable}; }; -Reference reference(const Graph& g, const std::shared_ptr& support, NodeId src, +GeneralPath general_path(const Graph& g, const std::shared_ptr& support, NodeId src, const std::vector& dsts, const PathSelection& sel, PriorityFn view, const std::vector& W, FlowPlacement placement, Admission admission) { - Reference out; + GeneralPath out; auto r = support_route(g, PredDAGBuilder::ascending(*support), src, dsts, sel, view); out.route = r.edges; Cost cost = !sel.multipath && !r.edges.empty() ? r.cost : kUnreachable; - out.bundle = PredDAGBuilder::ascending(*support).size() == r.edges.size() - ? support - : std::make_shared(PredDAGBuilder::of_edges(g, r.edges)); + out.bundle = PredDAGBuilder::ascending(*support).size() == r.edges.size() ? support : dag_of(g, r.edges); std::vector creation; if (placement == FlowPlacement::Weighted && sel.priority == EdgePriority::Residual) { for (EdgeId e : PredDAGBuilder::ascending(*out.bundle)) creation.push_back(W[static_cast(e)]); @@ -110,7 +96,7 @@ std::vector selections() { // Random edges with many ties (costs 1 to 3, times `factor`), parallel bursts, capacities 0 to 4 // units. -Graph random_graph(std::mt19937& rng, int n, int m, Cost factor = 1) { +Graph tied_graph(std::mt19937& rng, int n, int m, Cost factor = 1) { std::vector edges; while (static_cast(edges.size()) < m) { const auto u = static_cast(rng() % static_cast(n)); @@ -123,36 +109,27 @@ Graph random_graph(std::mt19937& rng, int n, int m, Cost factor = 1) { return make_graph(n, edges); } -std::vector live(std::vector set, const Eligibility* elig) { - std::sort(set.begin(), set.end()); - set.erase(std::unique(set.begin(), set.end()), set.end()); - std::vector out; - for (NodeId v : set) { - if (elig == nullptr || elig->node_ok(v)) out.push_back(v); - } - return out; -} - -// The comparison on `trials` random graphs whose edge costs are 1 to 3 times `factor`: for every -// source, every one of the 24 selections and every legal kernel, the one pass answers exactly where -// the reference's members are its whole multipath route, with the same bundle (the support itself -// when the route is all of it), every plan array and the exact cost. +// What the comparison below counts. struct Tally { long made {0}; long shared {0}; - long collapsed {0}; + long collapsed {0}; // answers whose route Collapse changed (one edge per node pair) long weighted {0}; long anycast {0}; - long declined {0}; + long unrouted {0}; // declined although the selection and kernel qualify: the general path has no route long beyond_int32 {0}; // answers whose route cost exceeds INT32_MAX }; -Tally compare_with_reference(std::mt19937& rng, int trials, Cost factor) { +// The comparison on `trials` random graphs whose edge costs are 1 to 3 times `factor`: for every +// source, every one of the 24 selections and every legal kernel, the one pass answers exactly where +// the general path's members are its whole multipath route, with the same bundle (the support itself +// when the route is all of it), every plan array and the exact cost. +Tally compare_with_general_path(std::mt19937& rng, int trials, Cost factor) { const auto sels = selections(); Tally t; for (int trial = 0; trial < trials; ++trial) { const int n = 2 + static_cast(rng() % 10); - const Graph g = random_graph(rng, n, static_cast(rng() % 40), factor); + const Graph g = tied_graph(rng, n, static_cast(rng() % 40), factor); std::optional elig; if (rng() % 3 == 0) { std::vector xn; @@ -164,8 +141,8 @@ Tally compare_with_reference(std::mt19937& rng, int trials, Cost factor) { const Eligibility* el = elig ? &*elig : nullptr; std::vector D; for (std::size_t k = 1 + rng() % 3; k > 0; --k) D.push_back(static_cast(rng() % static_cast(n))); - const auto dset = live(D, nullptr); - const auto dsts = live(D, el); + const auto dset = allowed_nodes(D, nullptr); + const auto dsts = allowed_nodes(D, el); if (dsts.empty()) continue; const auto support = std::make_shared(static_support(g, dset, Direction::Reverse, el)); std::vector W(static_cast(g.num_edges())); @@ -186,30 +163,36 @@ Tally compare_with_reference(std::mt19937& rng, int trials, Cost factor) { std::to_string(static_cast(sel.tie_break)) + std::to_string(static_cast(sel.priority)) + std::to_string(sel.multipath) + std::to_string(sel.multi_edge); - const auto want = reference(g, support, src, dsts, sel, view, W, k.placement, k.admission); + const auto want = general_path(g, support, src, dsts, sel, view, W, k.placement, k.admission); const auto got = cost_only_creation(g, support, src, dsts, sel, view, k.placement, k.admission); - // It answers exactly where the reference's members are its whole multipath route under a + // It answers exactly where the general path's members are its whole multipath route under a // kernel of static membership (on a valid support that is every route that exists). - const bool applies = sel.multipath && - !(k.placement == FlowPlacement::Weighted && sel.priority == EdgePriority::Residual) && - !want.route.empty(); + const bool qualifies = + sel.multipath && !(k.placement == FlowPlacement::Weighted && sel.priority == EdgePriority::Residual); + const bool applies = qualifies && !want.route.empty(); EXPECT_EQ(got.has_value(), applies) << where; if (got.has_value() != applies) return t; if (!got.has_value()) { - ++t.declined; + t.unrouted += qualifies ? 1 : 0; continue; } EXPECT_EQ(want.plan.members, want.route) << where; // the precondition the shortcut checks EXPECT_TRUE(got->bundle) << where; if (!got->bundle) return t; EXPECT_TRUE(*got->bundle == *want.bundle) << where; - EXPECT_EQ(vec(PredDAGBuilder::ascending(*got->bundle)), want.route) << where; + EXPECT_EQ(ascending_edges(*got->bundle), want.route) << where; EXPECT_EQ(got->bundle == support, want.bundle == support) << where; // the same shared value expect_same_plan(got->plan, want.plan, where); EXPECT_EQ(got->cost, want.cost) << where; ++t.made; if (want.bundle == support) ++t.shared; - if (!sel.multi_edge && want.route.size() < PredDAGBuilder::ascending(*support).size()) ++t.collapsed; + if (!sel.multi_edge) { + // Collapse ran when the route differs from the one the same selection takes with every + // parallel edge kept. + PathSelection all_edges = sel; + all_edges.multi_edge = true; + if (support_route(g, PredDAGBuilder::ascending(*support), src, dsts, all_edges, view).edges != want.route) ++t.collapsed; + } if (k.placement == FlowPlacement::Weighted) ++t.weighted; if (dsts.size() > 1) ++t.anycast; if (want.cost > std::numeric_limits::max()) ++t.beyond_int32; @@ -225,7 +208,8 @@ Tally compare_with_reference(std::mt19937& rng, int trials, Cost factor) { TEST(CostOnlyCreation, LowerBoundFromEveryHintIsStdLowerBound) { std::mt19937 rng(20261007); - int checked = 0; + int forward = 0; // the answer above the hint + int backward = 0; // the answer below the hint for (int trial = 0; trial < 400; ++trial) { const auto n = static_cast(rng() % 140); std::vector a(n); @@ -239,47 +223,50 @@ TEST(CostOnlyCreation, LowerBoundFromEveryHintIsStdLowerBound) { const auto want = static_cast(std::lower_bound(a.begin(), a.end(), key) - a.begin()); for (std::size_t hint = 0; hint <= n + 3; ++hint) { ASSERT_EQ(lower_bound_from(a, hint, key), want) << "n " << n << " key " << key << " hint " << hint; - ++checked; + forward += want > hint ? 1 : 0; + backward += want < hint ? 1 : 0; } } } - EXPECT_GT(checked, 100000); + EXPECT_GT(forward, 1000000); + EXPECT_GT(backward, 1000000); } -TEST(CostOnlyCreation, EqualsTheReferenceForEverySourceSelectionAndKernel) { +TEST(CostOnlyCreation, EqualsTheGeneralPathForEverySourceSelectionAndKernel) { std::mt19937 rng(1007); - const Tally t = compare_with_reference(rng, 300, 1); + const Tally t = compare_with_general_path(rng, 300, 1); // Not vacuous: every branch of the one pass was compared, and the declined inputs too. EXPECT_GT(t.made, 20000); EXPECT_GT(t.shared, 500); - EXPECT_GT(t.collapsed, 2000); + EXPECT_GT(t.collapsed, 2000); // this seed: 2,838 EXPECT_GT(t.weighted, 4000); EXPECT_GT(t.anycast, 4000); - EXPECT_GT(t.declined, 20000); + EXPECT_GT(t.unrouted, 10000); } -TEST(CostOnlyCreation, WideCostsEqualTheReference) { - // Repeat the reference comparison with factors 3, 64 and 2^35. These cases catch the +TEST(CostOnlyCreation, WideCostsEqualTheGeneralPath) { + // Repeat the general-path comparison with factors 3, 64 and 2^35. These cases catch the // int32 output truncation; with 2^35 every answered cost exceeds INT32_MAX. - // They do not cover every narrower representation: a 48-bit output mask survives. + // They do not catch every narrower representation: an output cut to 48 bits would pass here + // (ChainCostsBeyondInt32AreExact catches it). for (const Cost factor : {Cost {3}, Cost {64}, Cost {1} << 35}) { std::mt19937 rng(static_cast(2000 + factor % 997)); - const Tally t = compare_with_reference(rng, 120, factor); + const Tally t = compare_with_general_path(rng, 120, factor); if (::testing::Test::HasFailure()) return; EXPECT_GT(t.made, 7000) << "factor " << factor; EXPECT_GT(t.shared, 150) << "factor " << factor; - EXPECT_GT(t.collapsed, 700) << "factor " << factor; - EXPECT_GT(t.declined, 7000) << "factor " << factor; + EXPECT_GT(t.collapsed, 700) << "factor " << factor; // these seeds: 1,452, 946 and 1,210 + EXPECT_GT(t.unrouted, 4000) << "factor " << factor; if (factor == (Cost {1} << 35)) EXPECT_EQ(t.beyond_int32, t.made); } } TEST(CostOnlyCreation, ChainCostsBeyondInt32AreExact) { - // The review's witness (0 -> 1 -> 2, two edges of 2^35: the cost 2^36 = 68,719,476,736), a chain - // whose total 2,500,000,000 exceeds INT32_MAX without being a power of two, a diamond of 2^35 - // edges with a parallel pair, and a full-width chain of two edges of 2^60 + 1 (the cost - // 2^61 + 2, below the graph's 2^62 bound; a 48-bit output mask gives 2): the exact cost and every - // array, for every legal kernel, both multi_edge settings. + // A chain of two edges beyond int32 (0 -> 1 -> 2, two edges of 2^35: the cost 2^36 = + // 68,719,476,736), a chain whose total 2,500,000,000 exceeds INT32_MAX without being a power of + // two, a diamond of 2^35 edges with a parallel pair, and a full-width chain of two edges of + // 2^60 + 1 (the cost 2^61 + 2, below the graph's 2^62 bound; a 48-bit output mask gives 2): the + // exact cost and every array, for every legal kernel, both multi_edge settings. struct Chain { std::int32_t n; std::vector edges; @@ -293,7 +280,6 @@ TEST(CostOnlyCreation, ChainCostsBeyondInt32AreExact) { {4, {{0, 1, 4, big}, {0, 2, 3, big}, {1, 3, 2, big}, {2, 3, 1, big}, {2, 3, 2, big}}, 3, 2 * big}, {3, {{0, 1, 2, (Cost {1} << 60) + 1}, {1, 2, 2, (Cost {1} << 60) + 1}}, 2, Cost {2305843009213693954}}, }; - int checked = 0; for (const auto& c : chains) { ASSERT_GT(c.cost, std::numeric_limits::max()); const Graph g = make_graph(c.n, c.edges); @@ -307,29 +293,31 @@ TEST(CostOnlyCreation, ChainCostsBeyondInt32AreExact) { const std::string where = "chain cost " + std::to_string(c.cost) + " kernel " + std::to_string(static_cast(k.placement)) + "/" + std::to_string(static_cast(k.admission)) + " multi_edge " + std::to_string(me); - const auto want = reference(g, support, 0, dsts, sel, PriorityFn::of(values), W, k.placement, k.admission); + const auto want = general_path(g, support, 0, dsts, sel, PriorityFn::of(values), W, k.placement, k.admission); const auto got = cost_only_creation(g, support, 0, dsts, sel, PriorityFn::of(values), k.placement, k.admission); ASSERT_TRUE(got.has_value()) << where; EXPECT_EQ(want.cost, c.cost) << where; EXPECT_EQ(got->cost, c.cost) << where; EXPECT_TRUE(*got->bundle == *want.bundle) << where; - EXPECT_EQ(vec(PredDAGBuilder::ascending(*got->bundle)), want.route) << where; + EXPECT_EQ(ascending_edges(*got->bundle), want.route) << where; EXPECT_EQ(got->bundle == support, want.bundle == support) << where; expect_same_plan(got->plan, want.plan, where); - ++checked; } } } - EXPECT_EQ(checked, 4 * 2 * 5); } -TEST(CostOnlyCreation, LargerGraphsAndTheSupportItself) { - // Larger fabrics (Clos and random) where the walk crosses many ranges: every source to one and - // to two destinations, the EB and MaxFlow kernels, with and without Collapse. +TEST(CostOnlyCreation, LargerGraphsEqualTheGeneralPath) { + // Larger fabrics (Clos and random) where the walk crosses many ranges: every source of the two + // Clos fabrics and every 7th source of the two 200-node random graphs, to one and to two + // destinations, the EB and MaxFlow kernels, with and without Collapse. A bundle shares the + // support only when the general path's does (a bundle equal to the support is met by the + // two general-path comparisons above, which count it). std::mt19937 rng(7); - long made = 0; for (int shape = 0; shape < 4; ++shape) { + long made = 0; + long anycast = 0; // answers to two destinations Graph g = [&] { if (shape < 2) { std::vector edges; @@ -346,14 +334,14 @@ TEST(CostOnlyCreation, LargerGraphsAndTheSupportItself) { } return make_graph(leaves + spines, edges); } - return random_graph(rng, 200, 2400); + return tied_graph(rng, 200, 2400); }(); const int n = g.num_nodes(); std::vector W(g.capacity_units().begin(), g.capacity_units().end()); for (int q = 0; q < 6; ++q) { std::vector D = {static_cast(rng() % static_cast(n))}; if (q % 2 == 1) D.push_back(static_cast(rng() % static_cast(n))); - const auto dsts = live(D, nullptr); + const auto dsts = allowed_nodes(D, nullptr); const auto support = std::make_shared(static_support(g, dsts, Direction::Reverse, nullptr)); for (NodeId src = 0; src < n; src += (n > 50 ? 7 : 1)) { if (std::binary_search(dsts.begin(), dsts.end(), src)) continue; @@ -361,7 +349,7 @@ TEST(CostOnlyCreation, LargerGraphsAndTheSupportItself) { const PathSelection sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity, true, me); const PriorityValues values {&g, sel.priority, W}; for (auto placement : {FlowPlacement::EqualBalanced, FlowPlacement::MaxFlow}) { - const auto want = reference(g, support, src, dsts, sel, PriorityFn::of(values), W, placement, + const auto want = general_path(g, support, src, dsts, sel, PriorityFn::of(values), W, placement, Admission::Lossless); const auto got = cost_only_creation(g, support, src, dsts, sel, PriorityFn::of(values), placement, Admission::Lossless); @@ -372,23 +360,26 @@ TEST(CostOnlyCreation, LargerGraphsAndTheSupportItself) { expect_same_plan(got->plan, want.plan, "shape " + std::to_string(shape) + " src " + std::to_string(src)); EXPECT_EQ(got->cost, want.cost); ++made; + anycast += dsts.size() > 1 ? 1 : 0; } } } } + EXPECT_GT(made, 150) << "shape " << shape; + EXPECT_GT(anycast, 80) << "shape " << shape; } - EXPECT_GT(made, 300); } -TEST(CostOnlyCreation, CraftedSupportsGiveNothingOrTheReference) { +TEST(CostOnlyCreation, CraftedSupportsGiveNothingOrTheGeneralPath) { // Acyclic edge sets that are no static support: edges leaving a destination, nodes that reach no - // destination, members below one unit. The one pass declines them or equals the reference. + // destination, members below one unit. The one pass declines them or equals the general path. std::mt19937 rng(99); long made = 0; + long trimmed = 0; // answers whose bundle is not the support itself long declined = 0; for (int trial = 0; trial < 1500; ++trial) { const int n = 3 + static_cast(rng() % 8); - const Graph g = random_graph(rng, n, 4 + static_cast(rng() % 30)); + const Graph g = tied_graph(rng, n, 4 + static_cast(rng() % 30)); std::vector perm(static_cast(n)); std::iota(perm.begin(), perm.end(), 0); std::shuffle(perm.begin(), perm.end(), rng); @@ -400,7 +391,7 @@ TEST(CostOnlyCreation, CraftedSupportsGiveNothingOrTheReference) { const auto v = g.edge_dst()[static_cast(e)]; if (rank[static_cast(u)] < rank[static_cast(v)] && rng() % 4 != 0) chosen.push_back(e); } - const auto support = std::make_shared(PredDAGBuilder::of_edges(g, chosen)); + const auto support = dag_of(g, chosen); const NodeId src = perm.front(); std::vector dsts = {perm.back()}; if (n > 4 && rng() % 2 == 0) dsts.push_back(perm[static_cast(n / 2)]); // may have out-edges @@ -410,7 +401,7 @@ TEST(CostOnlyCreation, CraftedSupportsGiveNothingOrTheReference) { const PathSelection sel(EdgeTieBreak::Deterministic, EdgePriority::Capacity, true, me); const PriorityValues values {&g, sel.priority, W}; for (const auto& k : kKernels) { - const auto want = reference(g, support, src, dsts, sel, PriorityFn::of(values), W, k.placement, k.admission); + const auto want = general_path(g, support, src, dsts, sel, PriorityFn::of(values), W, k.placement, k.admission); const auto got = cost_only_creation(g, support, src, dsts, sel, PriorityFn::of(values), k.placement, k.admission); const std::string where = "trial " + std::to_string(trial); @@ -423,18 +414,21 @@ TEST(CostOnlyCreation, CraftedSupportsGiveNothingOrTheReference) { expect_same_plan(got->plan, want.plan, where); EXPECT_EQ(got->cost, want.cost) << where; ++made; + trimmed += *want.bundle == *support ? 0 : 1; if (::testing::Test::HasFailure()) return; } } } EXPECT_GT(made, 1000); + EXPECT_GT(trimmed, 800); EXPECT_GT(declined, 1000); } TEST(CostOnlyCreation, DeclinesEachBrokenPrecondition) { - // 0 -> 1 -> 3 and 0 -> 2 -> 3, destination 3: the reference keeps the whole route, and so does - // the one pass. Each variant breaks one precondition; the one pass then answers nothing (the - // reference's members differ from its route, or it throws). + // 0 -> 1 -> 3 and 0 -> 2 -> 3, destination 3: the general path keeps the whole route, and so + // does the one pass. Each variant breaks one precondition; the one pass then answers nothing (the + // general path's members differ from its route, or it throws), except that MaxFlow keeps a + // member below one unit. const Graph g = make_graph(6, {{0, 1, 2, 1}, {0, 2, 2, 1}, {1, 3, 2, 1}, {2, 3, 2, 1}, {3, 4, 2, 1}, {1, 5, 2, 1}, {2, 1, 2, 1}, {1, 2, 0, 1}}); const auto inv = id_of_input(g); @@ -445,7 +439,7 @@ TEST(CostOnlyCreation, DeclinesEachBrokenPrecondition) { auto run = [&](std::vector edges, FlowPlacement placement) { for (auto& e : edges) e = inv[static_cast(e)]; std::sort(edges.begin(), edges.end()); - const auto support = std::make_shared(PredDAGBuilder::of_edges(g, edges)); + const auto support = dag_of(g, edges); return std::make_pair(support, cost_only_creation(g, support, 0, dsts, sel, PriorityFn::of(values), placement, Admission::Lossless)); }; @@ -463,11 +457,11 @@ TEST(CostOnlyCreation, DeclinesEachBrokenPrecondition) { // A member below one unit (1 -> 2 has no capacity): declined for EB, kept by MaxFlow. EXPECT_FALSE(run({0, 1, 2, 3, 7}, FlowPlacement::EqualBalanced).second.has_value()); EXPECT_TRUE(run({0, 1, 2, 3, 7}, FlowPlacement::MaxFlow).second.has_value()); - // A cycle (1 -> 2 -> 1): declined, and the reference throws. + // A cycle (1 -> 2 -> 1): declined, and the general path throws. { const auto [support, got] = run({0, 1, 2, 3, 6, 7}, FlowPlacement::MaxFlow); EXPECT_FALSE(got.has_value()); - EXPECT_THROW((void)reference(g, support, 0, dsts, sel, PriorityFn::of(values), W, FlowPlacement::MaxFlow, + EXPECT_THROW((void)general_path(g, support, 0, dsts, sel, PriorityFn::of(values), W, FlowPlacement::MaxFlow, Admission::Lossless), std::logic_error); } @@ -475,7 +469,7 @@ TEST(CostOnlyCreation, DeclinesEachBrokenPrecondition) { { std::vector edges = {inv[0], inv[1], inv[2], inv[3]}; std::sort(edges.begin(), edges.end()); - const auto support = std::make_shared(PredDAGBuilder::of_edges(g, edges)); + const auto support = dag_of(g, edges); const PathSelection single(EdgeTieBreak::Deterministic, EdgePriority::Capacity, false, true); EXPECT_FALSE(cost_only_creation(g, support, 0, dsts, single, PriorityFn::of(values), FlowPlacement::EqualBalanced, Admission::Lossless) @@ -492,9 +486,7 @@ TEST(CostOnlyCreation, DeclinesEachBrokenPrecondition) { TEST(KernelPlanBlock, CopiesAndMovesKeepTheirOwnViews) { const Graph g = make_graph(4, {{0, 1, 3, 1}, {0, 2, 2, 1}, {1, 3, 3, 1}, {2, 3, 2, 1}}); - std::vector all(4); - std::iota(all.begin(), all.end(), 0); - const auto dag = PredDAGBuilder::of_edges(g, all); + const auto dag = PredDAGBuilder::of_edges(g, all_ids(g)); const std::vector dsts = {3}; const KernelPlan original = make_plan(g, FlowPlacement::Weighted, Admission::Lossless, EdgePriority::Capacity, 0, dsts, dag, {}); @@ -533,3 +525,77 @@ TEST(KernelPlanBlock, CopiesAndMovesKeepTheirOwnViews) { const KernelPlan empty_copy(empty); EXPECT_TRUE(empty_copy.dsts.empty() && empty_copy.topo.empty() && empty_copy.members.empty()); } + +// The plan comparison names every field that differs: a copy of a real plan with one field changed +// differs in exactly that field (a vector or view field both by its last entry and by one more +// entry), and without the route only the route may differ. +TEST(TestHelpers, PlanDifferencesNameEveryField) { + const Graph g = make_graph(4, {{0, 1, 3, 1}, {0, 2, 2, 1}, {1, 3, 3, 1}, {2, 3, 2, 1}}); + const auto dag = PredDAGBuilder::of_edges(g, all_ids(g)); + const std::vector dsts = {3}; + const KernelPlan plan = + make_plan(g, FlowPlacement::Weighted, Admission::Lossless, EdgePriority::Capacity, 0, dsts, dag, {}); + ASSERT_EQ(plan.weights.size(), 4U); + EXPECT_EQ(plan_differences(plan, plan), std::vector {}); + // The views' changed copies live here, as the plan's own views live in its block. + std::vector nodes; + std::vector positions; + std::vector flags; + using Change = std::function; + auto nodes_of = [&](std::span x, bool longer) { + nodes.assign(x.begin(), x.end()); + if (longer) nodes.push_back(0); + else ++nodes.back(); + return std::span(nodes); + }; + auto positions_of = [&](std::span x, bool longer) { + positions.assign(x.begin(), x.end()); + if (longer) positions.push_back(0); + else ++positions.back(); + return std::span(positions); + }; + const std::vector> changes = { + {"placement", [](auto& x) { x.placement = FlowPlacement::EqualBalanced; }}, + {"admission", [](auto& x) { x.admission = Admission::Lossy; }}, + {"src", [](auto& x) { ++x.src; }}, + {"dsts", [&](auto& x) { x.dsts = nodes_of(x.dsts, false); }}, + {"dsts", [&](auto& x) { x.dsts = nodes_of(x.dsts, true); }}, + {"route", [](auto& x) { x.route.push_back(0); }}, + {"route", [](auto& x) { ++x.route.back(); }}, + {"members", [](auto& x) { x.members.push_back(0); }}, + {"members", [](auto& x) { ++x.members.back(); }}, + {"weights", [](auto& x) { x.weights.push_back(1); }}, + {"weights", [](auto& x) { ++x.weights.back(); }}, + {"topo", [&](auto& x) { x.topo = nodes_of(x.topo, false); }}, + {"topo", [&](auto& x) { x.topo = nodes_of(x.topo, true); }}, + {"out_begin", [&](auto& x) { x.out_begin = positions_of(x.out_begin, false); }}, + {"out_begin", [&](auto& x) { x.out_begin = positions_of(x.out_begin, true); }}, + {"out_end", [&](auto& x) { x.out_end = positions_of(x.out_end, false); }}, + {"out_end", [&](auto& x) { x.out_end = positions_of(x.out_end, true); }}, + {"head_pos", [&](auto& x) { x.head_pos = positions_of(x.head_pos, false); }}, + {"head_pos", [&](auto& x) { x.head_pos = positions_of(x.head_pos, true); }}, + {"terminal", [&](auto& x) { + flags.assign(x.terminal.begin(), x.terminal.end()); + flags.back() = flags.back() == 0 ? 1 : 0; + x.terminal = flags; + }}, + {"terminal", [&](auto& x) { + flags.assign(x.terminal.begin(), x.terminal.end()); + flags.push_back(0); + x.terminal = flags; + }}, + {"src_out_begin", [](auto& x) { ++x.src_out_begin; }}, + {"src_out_end", [](auto& x) { ++x.src_out_end; }}, + }; + for (std::size_t k = 0; k < changes.size(); ++k) { + KernelPlan x = plan; + changes[k].second(x); + EXPECT_EQ(plan_differences(x, plan), std::vector {changes[k].first}) << k; + const auto without_route = changes[k].first == "route" ? std::vector {} + : std::vector {changes[k].first}; + EXPECT_EQ(plan_differences(x, plan, false), without_route) << k; + // expect_same_plan reports it. + EXPECT_EQ(failures_of([&] { expect_same_plan(x, plan, "changed"); }), 1) << k; + } + EXPECT_EQ(failures_of([&] { expect_same_plan(plan, plan, "same"); }), 0); +} diff --git a/tests/cpp/dag_cache_tests.cpp b/tests/cpp/dag_cache_tests.cpp index acd1148..f639b71 100644 --- a/tests/cpp/dag_cache_tests.cpp +++ b/tests/cpp/dag_cache_tests.cpp @@ -1,16 +1,21 @@ -// The DagCache's modes (APPROACH 10): the transition table (building and frozen lookups, freeze, -// clear, thaw, destruction), the statistics (a frozen miss counts one miss), DagCacheMiss as a -// dedicated exception, frozen hits from several threads, and the evaluators' sharing rules -// (section 11): a frozen cache shared by every worker, a building one rejected with two or more, -// DagCacheMiss propagated unchanged through batch_capacity and sensitivity, the reuse of a -// prepopulated Eligibility through an unchanged intersection, and the deletion-mode sensitivity -// with a supplied frozen cache. The thread cases are named DagCacheFrozen* (the TSan filter). +// The DagCache's modes: the transition table (building and frozen lookups, freeze, clear, thaw, +// destruction), the statistics (a frozen miss counts one miss), roots in any order sharing one +// entry and one validation, the key (a policy's selection is not part of it, the Eligibility uid +// is) and clear() releasing the values nobody holds, DagCacheMiss as a dedicated exception, frozen +// hits from several threads, and the evaluators' sharing rules: a frozen cache shared by every +// worker, a building one rejected with two or more, DagCacheMiss propagated unchanged through +// batch_capacity and sensitivity, the reuse of a prepopulated Eligibility through an unchanged +// intersection, the deletion-mode sensitivity (Global: each deletion repaired from the baseline's +// state) with a supplied frozen cache; a failed call's statistics, and concurrent calls and +// publications that lose no hit. The thread cases form the suite DagCacheFrozen; make tsan-test +// runs them under ThreadSanitizer with every other test. #include #include #include #include #include +#include #include #include #include @@ -27,6 +32,8 @@ using namespace netgraph::core; using namespace netgraph::core::test; +// DagCacheMiss is its own exception, neither a std::runtime_error nor a std::logic_error (a frozen +// miss is thrown as one: miss_of in the tests below). static_assert(!std::is_base_of_v); static_assert(!std::is_base_of_v); static_assert(std::is_base_of_v); @@ -46,18 +53,6 @@ std::shared_ptr fabric() { return std::make_shared(make_graph(9, e)); } -std::vector v(std::initializer_list x) { return x; } - -FlowPolicyConfig costonly() { - return FlowPolicyConfig {CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, - PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)}; -} - -FlowPolicyConfig global() { - return FlowPolicyConfig {Global {}, FlowPlacement::MaxFlow, Admission::Lossless, - PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)}; -} - std::string miss_of(const std::function& fn) { try { fn(); @@ -67,6 +62,17 @@ std::string miss_of(const std::function& fn) { return ""; } +// The bytes a DAG's stored arrays hold, from its public arrays: k nodes with entries and e +// entries store the k nodes, k + 1 offsets, e parents, e via edges and their ascending copy, all +// 32-bit values. +std::int64_t stored_bytes(const PredDAG& d) { + const auto off = d.parent_offsets(); + std::int64_t k = 0; + for (std::size_t i = 0; i + 1 < off.size(); ++i) k += off[i + 1] > off[i] ? 1 : 0; + const auto e = static_cast(d.via_edges().size()); + return 4 * (k + (k + 1) + e + e + e); +} + } // namespace TEST(DagCacheModes, TransitionTableAndStatistics) { @@ -80,6 +86,28 @@ TEST(DagCacheModes, TransitionTableAndStatistics) { EXPECT_EQ(st.misses, 1); EXPECT_EQ(st.hits, 1); EXPECT_EQ(st.entries, 1); + EXPECT_EQ(st.bytes, stored_bytes(*a)); + // Invalid queries throw std::invalid_argument, each with its own message, and change no + // statistic, while building here and while frozen below: a foreign graph, an Eligibility built + // for another graph (the same roots and direction as a stored entry), empty roots, a root out of + // range, a direction outside its enumeration (with the roots of a stored entry). + const auto other = fabric(); + const auto foreign = other->eligibility(v({}), std::vector {0}); + auto invalid_queries_count_nothing = [&](const char* mode) { + const auto before = cache.stats(); + EXPECT_EQ(error_of([&] { (void)cache.lookup(*other, v({0}), Direction::Reverse, nullptr); }), + "DagCache: the graph is not the cache's graph (foreign graph)") << mode; + EXPECT_EQ(error_of([&] { (void)cache.lookup(*g, v({0, 1}), Direction::Reverse, &foreign); }), + "foreign Eligibility: built for another graph") << mode; + EXPECT_EQ(error_of([&] { (void)cache.lookup(*g, v({}), Direction::Reverse, nullptr); }), "roots: the node set is empty") + << mode; + EXPECT_EQ(error_of([&] { (void)cache.lookup(*g, v({9}), Direction::Reverse, nullptr); }), + "roots: node 9 out of node range [0, 9)") << mode; + EXPECT_EQ(error_of([&] { (void)cache.lookup(*g, v({0, 1}), static_cast(9), nullptr); }), + "direction: 9 is not a value of Direction") << mode; + EXPECT_EQ(stats_of(cache.stats()), stats_of(before)) << mode; + }; + invalid_queries_count_nothing("building"); // Frozen: hits return the value; a miss counts one miss, inserts nothing, throws DagCacheMiss. cache.freeze(); cache.freeze(); // idempotent @@ -91,27 +119,17 @@ TEST(DagCacheModes, TransitionTableAndStatistics) { EXPECT_EQ(st.misses, 2); EXPECT_EQ(st.hits, 2); EXPECT_EQ(st.entries, 1); - // Invalid queries throw std::invalid_argument and count nothing, in frozen mode too. - const auto other = fabric(); - EXPECT_THROW((void)cache.lookup(*other, v({0}), Direction::Reverse, nullptr), std::invalid_argument); - EXPECT_THROW((void)cache.lookup(*g, v({}), Direction::Reverse, nullptr), std::invalid_argument); - EXPECT_THROW((void)cache.lookup(*g, v({9}), Direction::Reverse, nullptr), std::invalid_argument); - EXPECT_EQ(cache.stats().misses, 2); - EXPECT_EQ(cache.stats().hits, 2); + invalid_queries_count_nothing("frozen"); // clear() throws when frozen and keeps the entries. - try { - cache.clear(); - FAIL() << "clear() on a frozen cache"; - } catch (const std::invalid_argument& e) { - EXPECT_EQ(std::string(e.what()), - "DagCache.clear is rejected while the cache is frozen (join every reader, then thaw() and clear())"); - } + EXPECT_EQ(error_of([&] { cache.clear(); }), + "DagCache.clear is rejected while the cache is frozen (join every reader, then thaw() and clear())"); EXPECT_EQ(cache.stats().entries, 1); // thaw(): building again; a miss searches and inserts, clear() empties (counters persist). cache.thaw(); cache.thaw(); // no effect when building const auto b = cache.lookup(*g, v({2}), Direction::Forward, nullptr); EXPECT_EQ(cache.stats().entries, 2); + EXPECT_EQ(cache.stats().bytes, stored_bytes(*a) + stored_bytes(*b)); cache.clear(); st = cache.stats(); EXPECT_EQ(st.entries, 0); @@ -135,7 +153,7 @@ TEST(DagCacheModes, TransitionTableAndStatistics) { } TEST(DagCacheModes, RootsInAnyOrderShareOneEntryAndOneValidation) { - // Task 1d-msd: a lookup borrows roots that are already a sorted set (no copy on a hit) and + // A lookup borrows roots that are already a sorted set (no copy on a hit) and // normalises any other; either way the key is the sorted set, ordered by roots, then direction, // then Eligibility uid, and the checks and their messages are node_set's. const auto g = fabric(); @@ -171,22 +189,17 @@ TEST(DagCacheModes, RootsInAnyOrderShareOneEntryAndOneValidation) { EXPECT_EQ(cache.stats().hits, 4 + static_cast(keys.size())); // The checks in node_set's order, sorted or not: empty, then the first id out of range in input // order; nothing counted. - auto error_of = [&](std::vector roots) { - try { - (void)cache.lookup(*g, roots, Direction::Reverse, nullptr); - } catch (const std::invalid_argument& e) { - return std::string(e.what()); - } - return std::string(); + auto lookup_error = [&](const std::vector& roots) { + return error_of([&] { (void)cache.lookup(*g, roots, Direction::Reverse, nullptr); }); }; const auto before = cache.stats(); - EXPECT_EQ(error_of(v({9})), "roots: node 9 out of node range [0, 9)"); - EXPECT_EQ(error_of(v({3, 9})), "roots: node 9 out of node range [0, 9)"); - EXPECT_EQ(error_of(v({9, 3})), "roots: node 9 out of node range [0, 9)"); - EXPECT_EQ(error_of(v({-1, 9})), "roots: node -1 out of node range [0, 9)"); - EXPECT_EQ(error_of(v({9, -1})), "roots: node 9 out of node range [0, 9)"); - EXPECT_EQ(error_of(v({3, 3, 12})), "roots: node 12 out of node range [0, 9)"); - EXPECT_FALSE(error_of(v({})).empty()); + EXPECT_EQ(lookup_error(v({9})), "roots: node 9 out of node range [0, 9)"); + EXPECT_EQ(lookup_error(v({3, 9})), "roots: node 9 out of node range [0, 9)"); + EXPECT_EQ(lookup_error(v({9, 3})), "roots: node 9 out of node range [0, 9)"); + EXPECT_EQ(lookup_error(v({-1, 9})), "roots: node -1 out of node range [0, 9)"); + EXPECT_EQ(lookup_error(v({9, -1})), "roots: node 9 out of node range [0, 9)"); + EXPECT_EQ(lookup_error(v({3, 3, 12})), "roots: node 12 out of node range [0, 9)"); + EXPECT_EQ(lookup_error(v({})), "roots: the node set is empty"); const auto after = cache.stats(); EXPECT_EQ(after.misses, before.misses); EXPECT_EQ(after.hits, before.hits); @@ -200,27 +213,49 @@ TEST(DagCacheModes, RootsInAnyOrderShareOneEntryAndOneValidation) { EXPECT_EQ(cache.stats().misses, 11); } -TEST(DagCacheModes, MissIsADedicatedException) { - const auto g = fabric(); +TEST(DagCacheModes, SelectionIsNoPartOfTheKeyAndClearReleasesUnheldValues) { + // Two disjoint routes 0 -> 1 -> 3 and 0 -> 2 -> 3. EdgeIds: 0 = 0->1, 1 = 0->2, 2 = 1->3, 3 = 2->3. + const auto g = std::make_shared(make_graph(4, {{0, 1, 5, 1}, {1, 3, 5, 1}, {0, 2, 5, 1}, {2, 3, 5, 1}})); DagCache cache(*g); - cache.freeze(); - bool as_miss = false; - try { - (void)cache.lookup(*g, v({0}), Direction::Reverse, nullptr); - } catch (const std::runtime_error&) { - FAIL() << "DagCacheMiss caught as std::runtime_error"; - } catch (const std::logic_error&) { - FAIL() << "DagCacheMiss caught as std::logic_error"; - } catch (const DagCacheMiss&) { - as_miss = true; - } - EXPECT_TRUE(as_miss); + // Two CostOnly policies differing only in selection share one entry (selection is a + // projection at creation, never part of the key). + FlowLedger fg(g); + FlowPolicy a(fg, v({0}), v({3}), cost_only_config(), nullptr, &cache); + auto other_selection = cost_only_config(); + other_selection.selection = PathSelection(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, false); + FlowPolicy b(fg, v({0}), v({3}), other_selection, nullptr, &cache); + auto s = cache.stats(); + EXPECT_EQ(s.misses, 1); + EXPECT_EQ(s.hits, 1); + EXPECT_EQ(s.entries, 1); + EXPECT_GT(s.bytes, 0); + // The Eligibility uid is part of the key: the value under el is the static support without 0 -> 1. + const auto x = cache.lookup(*g, v({3}), Direction::Reverse, nullptr); + EXPECT_EQ(cache.stats().hits, 2); + (void)cache.lookup(*g, v({3}), Direction::Forward, nullptr); // held by the cache only + const auto el = g->eligibility({}, std::vector {0}); + const auto y = cache.lookup(*g, v({3}), Direction::Reverse, &el); + s = cache.stats(); + EXPECT_EQ(s.misses, 3); + EXPECT_EQ(s.entries, 3); + EXPECT_EQ(ascending_edges(*y), (std::vector {1, 2, 3})); + EXPECT_EQ(ascending_edges(*x), (std::vector {0, 1, 2, 3})); + // clear() releases the values nobody else holds: the Forward one dies, x and y stay alive. + EXPECT_EQ(cache.stats().live_values, 3); + cache.clear(); + EXPECT_EQ(cache.stats().live_values, 2); + EXPECT_EQ(ascending_edges(*x), (std::vector {0, 1, 2, 3})); + // After clear() a lookup misses and inserts again. + (void)cache.lookup(*g, v({3}), Direction::Reverse, nullptr); + EXPECT_EQ(cache.stats().misses, 4); + EXPECT_EQ(cache.stats().entries, 1); } namespace { // Frozen hits from `threads` threads at once over prepopulated keys; every value is the -// prepopulated one and every hit is counted. +// prepopulated one and every hit is counted. The threads start their lookups together, once all +// of them are running. void frozen_readers(int threads) { const auto g = fabric(); DagCache cache(*g); @@ -231,8 +266,10 @@ void frozen_readers(int threads) { std::atomic wrong {0}; std::vector pool; constexpr int kRounds = 200; + std::latch start(threads); for (int t = 0; t < threads; ++t) { pool.emplace_back([&, t] { + start.arrive_and_wait(); for (int round = 0; round < kRounds; ++round) { const NodeId r = static_cast((round + t) % 9); const NodeId roots[1] = {r}; @@ -258,32 +295,45 @@ TEST(DagCacheFrozen, HitsFromOneThread) { frozen_readers(1); } TEST(DagCacheFrozen, HitsFromTwoThreads) { frozen_readers(2); } TEST(DagCacheFrozen, HitsFromFourThreads) { frozen_readers(4); } +// A frozen cache shared by every worker of a batch gives the batch without a cache: per pair the +// placed amount and every output (on this symmetric fabric the amounts alone would not tell the +// pairs apart: the first three each place the same amount, on different edges). TEST(DagCacheFrozen, SharedByEveryWorkerOfABatch) { const auto g = fabric(); const std::vector, std::vector>> pairs = { {v({0}), v({3})}, {v({1}), v({4})}, {v({2}), v({5})}, {v({0, 1}), v({3, 4})}}; - const auto want = batch_capacity(*g, pairs, CapacityOptions {costonly()}, {}, 1); + const OutputOptions all {true, true, true}; + const auto want = batch_capacity(*g, pairs, CapacityOptions {cost_only_config(), nullptr, nullptr, all}, {}, 1); + for (const auto& r : want) EXPECT_GT(r.placed, 0); // every pair places: the comparison is not of zeros for (int workers : {1, 2, 4}) { DagCache cache(*g); for (const auto& [s, t] : pairs) (void)cache.lookup(*g, t, Direction::Reverse, nullptr); // A building cache with two or more workers is rejected; frozen, it is shared. if (workers > 1) { - EXPECT_THROW((void)batch_capacity(*g, pairs, CapacityOptions {costonly(), nullptr, &cache}, {}, workers), - std::invalid_argument); + EXPECT_THROW( + (void)batch_capacity(*g, pairs, CapacityOptions {cost_only_config(), nullptr, &cache, all}, {}, workers), + std::invalid_argument); } cache.freeze(); const auto before = cache.stats(); - const auto got = batch_capacity(*g, pairs, CapacityOptions {costonly(), nullptr, &cache}, {}, workers); + const auto got = batch_capacity(*g, pairs, CapacityOptions {cost_only_config(), nullptr, &cache, all}, {}, workers); ASSERT_EQ(got.size(), want.size()); - for (std::size_t i = 0; i < got.size(); ++i) EXPECT_EQ(got[i].placed, want[i].placed) << workers; + for (std::size_t i = 0; i < got.size(); ++i) { + ASSERT_TRUE(got[i].edge_flows.has_value() && want[i].edge_flows.has_value()) << workers << " " << i; + ASSERT_TRUE(got[i].residual.has_value() && want[i].residual.has_value()) << workers << " " << i; + EXPECT_EQ(got[i].placed, want[i].placed) << workers << " " << i; + EXPECT_EQ(got[i].edge_flows, want[i].edge_flows) << workers << " " << i; + EXPECT_EQ(got[i].residual, want[i].residual) << workers << " " << i; + EXPECT_EQ(got[i].bottleneck, want[i].bottleneck) << workers << " " << i; + } EXPECT_EQ(cache.stats().hits - before.hits, static_cast(pairs.size())); EXPECT_EQ(cache.stats().misses, before.misses); } } TEST(DagCacheFrozen, MissPropagatesThroughBatchCapacity) { - // An empty frozen cache: every pair misses; the lowest index's DagCacheMiss reaches the caller - // unchanged, with one worker and with several. + // A frozen cache holding only pair 1's key: pairs 0 and 2 miss; the lowest index's DagCacheMiss + // (pair 0's) reaches the caller unchanged, with one worker and with several. const auto g = fabric(); const std::vector, std::vector>> pairs = {{v({0}), v({3})}, {v({1}), v({4})}, {v({2}), v({5})}}; @@ -291,13 +341,13 @@ TEST(DagCacheFrozen, MissPropagatesThroughBatchCapacity) { DagCache cache(*g); (void)cache.lookup(*g, v({4}), Direction::Reverse, nullptr); // only pair 1's key cache.freeze(); - const auto msg = miss_of([&] { (void)batch_capacity(*g, pairs, CapacityOptions {costonly(), nullptr, &cache}, {}, workers); }); + const auto msg = miss_of([&] { (void)batch_capacity(*g, pairs, CapacityOptions {cost_only_config(), nullptr, &cache}, {}, workers); }); EXPECT_NE(msg.find("roots {3}"), std::string::npos) << workers << ": " << msg; // pair 0, the lowest index } } TEST(DagCacheFrozen, PerPairIntersectionsAndPrepopulatedUids) { - // APPROACH 10: an intersection equal to an operand returns that operand (its uid), so the + // An intersection equal to an operand returns that operand (its uid), so the // prepopulated key hits; one that differs from both operands gets a fresh uid and misses. const auto g = fabric(); const EdgeId e0[1] = {0}; @@ -316,20 +366,20 @@ TEST(DagCacheFrozen, PerPairIntersectionsAndPrepopulatedUids) { // A common value containing the per-pair one: intersect returns the per-pair operand. auto before = hits(); const std::vector contained = {&narrow, nullptr}; - EXPECT_EQ(batch_capacity(*g, pairs, CapacityOptions {costonly(), &common, &cache}, contained, 2).size(), 2U); + EXPECT_EQ(batch_capacity(*g, pairs, CapacityOptions {cost_only_config(), &common, &cache}, contained, 2).size(), 2U); EXPECT_EQ(hits() - before, 2); // An unchanged intersection (the operand itself) and already-effective values with a null // common value. before = hits(); const std::vector same = {&common, &common}; - EXPECT_EQ(batch_capacity(*g, pairs, CapacityOptions {costonly(), &common, &cache}, same, 2).size(), 2U); + EXPECT_EQ(batch_capacity(*g, pairs, CapacityOptions {cost_only_config(), &common, &cache}, same, 2).size(), 2U); const std::vector own = {&narrow, &common}; - EXPECT_EQ(batch_capacity(*g, pairs, CapacityOptions {costonly(), nullptr, &cache}, own, 2).size(), 2U); + EXPECT_EQ(batch_capacity(*g, pairs, CapacityOptions {cost_only_config(), nullptr, &cache}, own, 2).size(), 2U); EXPECT_EQ(hits() - before, 4); // An intersection that differs from both operands: a fresh uid, absent from the cache. const auto misses = cache.stats().misses; const std::vector changed = {&other, nullptr}; - const auto msg = miss_of([&] { (void)batch_capacity(*g, pairs, CapacityOptions {costonly(), &common, &cache}, changed, 2); }); + const auto msg = miss_of([&] { (void)batch_capacity(*g, pairs, CapacityOptions {cost_only_config(), &common, &cache}, changed, 2); }); EXPECT_NE(msg.find("roots {4}"), std::string::npos) << msg; EXPECT_EQ(msg.find("uid " + std::to_string(common.uid()) + " "), std::string::npos) << msg; EXPECT_EQ(msg.find("uid " + std::to_string(other.uid()) + " "), std::string::npos) << msg; @@ -337,16 +387,16 @@ TEST(DagCacheFrozen, PerPairIntersectionsAndPrepopulatedUids) { EXPECT_EQ(cache.stats().entries, 3); } -TEST(DagCacheFrozen, MissPropagatesThroughSensitivityNeverAsUnevaluable) { +TEST(DagCacheFrozen, MissPropagatesThroughSensitivity) { // CostOnly sensitivity evaluates each candidate under a new Eligibility (a new uid): with a // frozen cache holding only the baseline's key, the first re-evaluated deletion misses and the - // miss reaches the caller (it is not a std::runtime_error, so never `unevaluable`). + // miss reaches the caller. const auto g = fabric(); for (int workers : {1, 2, 4}) { DagCache cache(*g); (void)cache.lookup(*g, v({4}), Direction::Reverse, nullptr); cache.freeze(); - const auto msg = miss_of([&] { (void)sensitivity(*g, v({1}), v({4}), SensitivityOptions {costonly(), nullptr, &cache}, workers); }); + const auto msg = miss_of([&] { (void)sensitivity(*g, v({1}), v({4}), SensitivityOptions {cost_only_config(), nullptr, &cache}, workers); }); EXPECT_NE(msg.find("no entry for roots {4}"), std::string::npos) << workers << ": " << msg; EXPECT_EQ(cache.stats().entries, 1); // nothing inserted } @@ -356,11 +406,13 @@ TEST(DagCacheFrozen, DeletionModeSensitivityWithASuppliedFrozenCache) { // Global sensitivity repairs the baseline's state per deletion and reads no cache: a supplied // frozen cache, shared by two or four workers, gives the result without a cache. const auto g = fabric(); - const auto want = sensitivity(*g, v({0, 1}), v({4, 5}), SensitivityOptions {global()}, 1); + const auto want = sensitivity(*g, v({0, 1}), v({4, 5}), SensitivityOptions {global_config()}, 1); + ASSERT_GT(want.baseline.placed, 0); + EXPECT_TRUE(std::any_of(want.entries.begin(), want.entries.end(), [](const auto& x) { return x.loss > 0; })); for (int workers : {1, 2, 4}) { DagCache cache(*g); cache.freeze(); - const auto got = sensitivity(*g, v({0, 1}), v({4, 5}), SensitivityOptions {global(), nullptr, &cache}, workers); + const auto got = sensitivity(*g, v({0, 1}), v({4, 5}), SensitivityOptions {global_config(), nullptr, &cache}, workers); EXPECT_EQ(got.baseline.placed, want.baseline.placed); ASSERT_EQ(got.entries.size(), want.entries.size()); for (std::size_t i = 0; i < got.entries.size(); ++i) { @@ -371,19 +423,11 @@ TEST(DagCacheFrozen, DeletionModeSensitivityWithASuppliedFrozenCache) { } } -namespace { - -std::tuple all_of(const DagCache::Stats& s) { - return {s.hits, s.misses, s.entries, s.bytes, s.live_values}; -} - -} // namespace - TEST(DagCacheFrozen, AFailedCallChangesNoStatisticButItsMiss) { - // review-1d F1, NOTES R27: a public call reading a frozen cache publishes its hits only when it - // succeeds. A batch whose pair 0 hits and pair 1 misses raises the miss and keeps no hit; the - // miss counts once, with one worker and with several (the boundary counts it, not the workers); - // the policy constructor and CostOnly sensitivity do the same. + // A frozen cache's statistics are observable state: a public call reading a frozen cache + // publishes its hits only when it succeeds. A batch whose pair 0 hits and pair 1 misses raises + // the miss and keeps no hit; the miss counts once, with one worker and with several (the boundary + // counts it, not the workers); the policy constructor and CostOnly sensitivity do the same. const auto g = fabric(); const std::vector, std::vector>> pairs = { {v({0}), v({3})}, {v({1}), v({4})}, {v({2}), v({5})}, {v({0}), v({3})}}; @@ -391,28 +435,28 @@ TEST(DagCacheFrozen, AFailedCallChangesNoStatisticButItsMiss) { DagCache cache(*g); (void)cache.lookup(*g, v({3}), Direction::Reverse, nullptr); cache.freeze(); - auto before = all_of(cache.stats()); + auto before = stats_of(cache.stats()); // Pairs 1 and 2 miss; pairs 0 and 3 hit. - EXPECT_NE(miss_of([&] { (void)batch_capacity(*g, pairs, CapacityOptions {costonly(), nullptr, &cache}, {}, workers); }) + EXPECT_NE(miss_of([&] { (void)batch_capacity(*g, pairs, CapacityOptions {cost_only_config(), nullptr, &cache}, {}, workers); }) .find("roots {4}"), std::string::npos); auto want = before; std::get<1>(want) += 1; - EXPECT_EQ(all_of(cache.stats()), want) << workers; - before = all_of(cache.stats()); + EXPECT_EQ(stats_of(cache.stats()), want) << workers; + before = stats_of(cache.stats()); EXPECT_NE(miss_of([&] { - (void)sensitivity(*g, v({0}), v({3}), SensitivityOptions {costonly(), nullptr, &cache}, workers); + (void)sensitivity(*g, v({0}), v({3}), SensitivityOptions {cost_only_config(), nullptr, &cache}, workers); }).find("roots {3}"), std::string::npos); want = before; std::get<1>(want) += 1; - EXPECT_EQ(all_of(cache.stats()), want) << workers; // the baseline's hit is dropped + EXPECT_EQ(stats_of(cache.stats()), want) << workers; // the baseline's hit is dropped } DagCache cache(*g); cache.freeze(); FlowLedger fg(g); - EXPECT_FALSE(miss_of([&] { FlowPolicy p(fg, v({0}), v({3}), costonly(), nullptr, &cache); }).empty()); - EXPECT_EQ(all_of(cache.stats()), std::make_tuple(0, 1, 0, 0, 0)); + EXPECT_FALSE(miss_of([&] { FlowPolicy p(fg, v({0}), v({3}), cost_only_config(), nullptr, &cache); }).empty()); + EXPECT_EQ(stats_of(cache.stats()), std::make_tuple(0, 1, 0, 0, 0)); } TEST(DagCacheFrozen, ConcurrentCallsKeepEverySuccessfulHit) { @@ -424,15 +468,17 @@ TEST(DagCacheFrozen, ConcurrentCallsKeepEverySuccessfulHit) { for (NodeId d : {3, 4}) (void)cache.lookup(*g, v({d}), Direction::Reverse, nullptr); cache.freeze(); const auto before = cache.stats(); - const CapacityOptions opts {costonly(), nullptr, &cache}; + const CapacityOptions opts {cost_only_config(), nullptr, &cache}; const std::vector, std::vector>> good = {{v({0}), v({3})}, {v({1}), v({4})}}; const std::vector, std::vector>> bad = {{v({0}), v({3})}, {v({1}), v({5})}}; constexpr int kThreads = 4; constexpr int kRounds = 25; std::atomic wrong {0}; std::vector pool; + std::latch start(kThreads); // the threads start together, once all of them are running for (int t = 0; t < kThreads; ++t) { pool.emplace_back([&] { + start.arrive_and_wait(); for (int round = 0; round < kRounds; ++round) { if (batch_capacity(*g, good, opts, {}, 2).size() != 2) ++wrong; try { @@ -466,10 +512,12 @@ TEST(DagCacheFrozen, ConcurrentPublicationsLoseNoIncrement) { constexpr int kThreads = 8; constexpr int kRounds = 1500; std::vector pool; + std::latch start(kThreads); // the threads start together, once all of them are running for (int t = 0; t < kThreads; ++t) { pool.emplace_back([&] { FlowLedger fg(g); - for (int round = 0; round < kRounds; ++round) FlowPolicy p(fg, v({0}), v({3}), costonly(), nullptr, &cache); + start.arrive_and_wait(); + for (int round = 0; round < kRounds; ++round) FlowPolicy p(fg, v({0}), v({3}), cost_only_config(), nullptr, &cache); }); } for (auto& th : pool) th.join(); diff --git a/tests/cpp/eligibility_tests.cpp b/tests/cpp/eligibility_tests.cpp index ca503ea..66ab803 100644 --- a/tests/cpp/eligibility_tests.cpp +++ b/tests/cpp/eligibility_tests.cpp @@ -1,9 +1,9 @@ -// Eligibility (APPROACH 4) as the graph builds it: dense node and edge flags from excluded ids, +// Eligibility as the graph builds it: dense node and edge flags from excluded ids, // graph-bound, uid 0 for the all-allowed value. #include -#include #include +#include #include #include "netgraph/core/graph.hpp" @@ -19,6 +19,8 @@ std::vector flags(std::span s) { return std::vector); auto g = make_graph(3, {{0, 1, 1, 1}, {1, 2, 1, 1}}); auto el = g.eligibility(); EXPECT_EQ(el.uid(), 0u); @@ -42,15 +44,19 @@ TEST(Eligibility, ExcludedNodeExcludesIncidentEdges) { } TEST(Eligibility, ExcludedEdgesDuplicatesAndOrder) { - auto g = make_graph(3, {{0, 1, 1, 1}, {1, 2, 1, 1}, {0, 2, 1, 5}}); + // EdgeIds 0: 0 -> 1, 1: 0 -> 2, 2: 1 -> 2, 3: 3 -> 0 (the one edge left allowed). + auto g = make_graph(4, {{0, 1, 1, 1}, {1, 2, 1, 1}, {0, 2, 1, 5}, {3, 0, 1, 1}}); const std::vector xe = {2, 0, 2}; const std::vector xn = {2, 2}; auto el = g.eligibility(xn, xe); - EXPECT_EQ(flags(el.node_allowed()), (std::vector{1, 1, 0})); - for (EdgeId e = 0; e < 3; ++e) { + EXPECT_EQ(flags(el.node_allowed()), (std::vector{1, 1, 0, 1})); + int allowed = 0; + for (EdgeId e = 0; e < 4; ++e) { const bool excluded = e == 0 || e == 2 || g.edge_dst()[static_cast(e)] == 2; EXPECT_EQ(el.edge_ok(e), !excluded) << e; + allowed += excluded ? 0 : 1; } + EXPECT_EQ(allowed, 1); // both answers are expected } TEST(Eligibility, DistinctUidsForEqualLists) { @@ -68,9 +74,9 @@ TEST(Eligibility, OutOfRangeIdsRejected) { const std::vector bad_node = {2}; const std::vector bad_edge = {1}; const std::vector neg_node = {-1}; - EXPECT_THROW((void)g.eligibility(bad_node, {}), std::invalid_argument); - EXPECT_THROW((void)g.eligibility({}, bad_edge), std::invalid_argument); - EXPECT_THROW((void)g.eligibility(neg_node, {}), std::invalid_argument); + EXPECT_EQ(error_of([&] { (void)g.eligibility(bad_node, {}); }), "excluded node 2 out of node range [0, 2)"); + EXPECT_EQ(error_of([&] { (void)g.eligibility({}, bad_edge); }), "excluded edge 1 out of edge range [0, 1)"); + EXPECT_EQ(error_of([&] { (void)g.eligibility(neg_node, {}); }), "excluded node -1 out of node range [0, 2)"); } // Eligibility.intersect: an operand when the result equals it (its uid kept, a @@ -88,6 +94,14 @@ TEST(Eligibility, IntersectReturnsAnOperandWhenEqual) { EXPECT_EQ(Eligibility::intersect(a, all).uid(), a.uid()); EXPECT_EQ(Eligibility::intersect(all, all).uid(), 0u); EXPECT_EQ(Eligibility::intersect(a, a).uid(), a.uid()); + { + // Two equal values built separately (distinct uids): the first operand wins the tie. + const auto x = g.eligibility({}, e0); + const auto y = g.eligibility({}, e0); + ASSERT_NE(x.uid(), y.uid()); + EXPECT_EQ(Eligibility::intersect(x, y).uid(), x.uid()); + EXPECT_EQ(Eligibility::intersect(y, x).uid(), y.uid()); + } // a subset relation: the smaller value. const auto ab_list = g.eligibility({}, e01); EXPECT_EQ(Eligibility::intersect(a, ab_list).uid(), ab_list.uid()); @@ -111,5 +125,6 @@ TEST(Eligibility, IntersectReturnsAnOperandWhenEqual) { TEST(Eligibility, IntersectRejectsValuesOfDifferentGraphs) { auto g = make_graph(2, {{0, 1, 1, 1}}); auto h = make_graph(2, {{0, 1, 1, 1}}); - EXPECT_THROW((void)Eligibility::intersect(g.eligibility(), h.eligibility()), std::invalid_argument); + EXPECT_EQ(error_of([&] { (void)Eligibility::intersect(g.eligibility(), h.eligibility()); }), + "Eligibility.intersect: the two values belong to different graphs"); } diff --git a/tests/cpp/fault_injection.cpp b/tests/cpp/fault_injection.cpp new file mode 100644 index 0000000..2914262 --- /dev/null +++ b/tests/cpp/fault_injection.cpp @@ -0,0 +1,107 @@ +// The allocation-failure hook of the fault-injection executable (netgraph_core_fault_tests): +// the replacement global operator new and delete (throwing and nothrow forms), the countdown and +// the leak counter declared in fault_injection.hpp, and fails_at / fails_in_workers_at / +// reaches_in_workers_at, which every fault test file sweeps its operations through. +#include + +#include +#include +#include +#include +#include + +#include "fault_injection.hpp" + +// Allocations left before the injected failure; negative: no injection (fault_injection.hpp). +// Shared by every thread; with g_workers_only the calling test thread's allocations do not count. +std::atomic g_countdown {-1}; +// Live allocations of the replacement operator new (a successful allocation counts up, the +// delete of a non-null pointer counts down): the sweeps compare it before and after an operation +// to count leaks, which ASan's leak detection (off on macOS) would not. +std::atomic g_live {0}; +static std::atomic g_workers_only {false}; +static thread_local bool t_test_thread = false; + +void* operator new(std::size_t n) { + if (g_countdown.load(std::memory_order_relaxed) >= 0 && + !(t_test_thread && g_workers_only.load(std::memory_order_relaxed)) && + g_countdown.fetch_sub(1, std::memory_order_relaxed) == 0) { + throw std::bad_alloc(); + } + if (void* p = std::malloc(n == 0 ? 1 : n)) { + g_live.fetch_add(1, std::memory_order_relaxed); + return p; + } + throw std::bad_alloc(); +} +void* operator new[](std::size_t n) { return ::operator new(n); } +// The nothrow forms never inject: a caller that asks for memory it can do without (the temporary +// buffer of std::stable_partition) absorbs a failure by design, so an injected one would be +// reported as swallowed. Their allocations count as live like the others. (Without these +// replacements, the standard library's nothrow form would call the throwing one above and catch +// the injected std::bad_alloc.) +void* operator new(std::size_t n, const std::nothrow_t&) noexcept { + void* p = std::malloc(n == 0 ? 1 : n); + if (p != nullptr) g_live.fetch_add(1, std::memory_order_relaxed); + return p; +} +void* operator new[](std::size_t n, const std::nothrow_t&) noexcept { return ::operator new(n, std::nothrow); } +void operator delete(void* p) noexcept { + if (p != nullptr) g_live.fetch_sub(1, std::memory_order_relaxed); + std::free(p); +} +void operator delete[](void* p) noexcept { ::operator delete(p); } +void operator delete(void* p, std::size_t) noexcept { ::operator delete(p); } +void operator delete[](void* p, std::size_t) noexcept { ::operator delete(p); } +void operator delete(void* p, const std::nothrow_t&) noexcept { ::operator delete(p); } +void operator delete[](void* p, const std::nothrow_t&) noexcept { ::operator delete(p); } + +namespace { + +// Runs fn with the k-th allocation failing; returns whether it was reached, and in `failed` +// whether fn raised std::bad_alloc. Any other exception of fn propagates, with the hook disarmed +// first: left armed, it would fail an allocation of whatever runs next (the test framework's +// report of that exception, a later test). +bool run(long k, bool workers_only, const std::function& fn, bool& failed) { + const auto disarm = [] { + g_countdown = -1; + g_workers_only = false; + }; + t_test_thread = true; + g_workers_only = workers_only; + g_countdown = k; + failed = false; + try { + fn(); + } catch (const std::bad_alloc&) { + failed = true; + } catch (...) { + disarm(); + throw; + } + const bool reached = g_countdown.load() < 0; + disarm(); + return reached; +} + +bool inject(long k, bool workers_only, const std::function& fn) { + bool failed = false; + const bool reached = run(k, workers_only, fn, failed); + EXPECT_EQ(failed, reached) << "a std::bad_alloc was swallowed or replaced at allocation " << k + << (workers_only ? " (worker threads)" : ""); + return failed; +} + +} // namespace + +// Runs fn with the k-th allocation (from 0) failing; returns whether that failure happened. +bool fails_at(long k, const std::function& fn) { return inject(k, false, fn); } + +bool fails_in_workers_at(long k, const std::function& fn) { return inject(k, true, fn); } + +bool reaches_in_workers_at(long k, const std::function& fn, bool& bad_alloc) { + const bool reached = run(k, true, fn, bad_alloc); + EXPECT_TRUE(reached || !bad_alloc) << "a std::bad_alloc that was not injected, at allocation " << k + << " (worker threads)"; + return reached; +} diff --git a/tests/cpp/fault_injection.hpp b/tests/cpp/fault_injection.hpp index d46a039..de8f020 100644 --- a/tests/cpp/fault_injection.hpp +++ b/tests/cpp/fault_injection.hpp @@ -1,21 +1,24 @@ -// The allocation-failure hook of the fault-injection executable (netgraph_core_fault_tests) and -// the state its sweeps compare: flow_ledger_fault_tests.cpp replaces the global operator new so that -// the chosen allocation throws std::bad_alloc; every test file of the executable sweeps its -// operations through fails_at(). The counter is shared by every thread (the evaluators' workers -// allocate too): the k-th allocation in the process fails, whichever thread makes it. +// The allocation-failure hook of the fault-injection executable (netgraph_core_fault_tests), with +// the state its sweeps compare (state_comparators.hpp): fault_injection.cpp replaces the global +// operator new so that the chosen allocation throws std::bad_alloc (the nothrow form never fails +// and does not advance the countdown; its allocations count as live like the others); every test +// file of the executable sweeps its operations through fails_at(). The counter is shared by every thread (the +// evaluators' workers allocate too): the k-th allocation in the process fails, whichever thread +// makes it. #pragma once #include #include -#include #include +#include #include -#include +#include -#include "netgraph/core/detail/ledger_access.hpp" #include "netgraph/core/flow_ledger.hpp" #include "netgraph/core/flow_policy.hpp" +#include "state_comparators.hpp" +#include "test_utils.hpp" // Allocations left before the injected failure; negative: no injection. extern std::atomic g_countdown; @@ -30,74 +33,141 @@ bool fails_at(long k, const std::function& fn); // evaluators' worker threads): the k-th worker allocation fails. bool fails_in_workers_at(long k, const std::function& fn); -namespace netgraph::core::test { +// As fails_in_workers_at, for a call whose lowest-index task exception is the one raised (the +// evaluators): the injected std::bad_alloc may lose to another task's exception, which fn +// handles. Returns whether the k-th worker allocation was reached, and sets `bad_alloc` when fn +// raised std::bad_alloc (which must then be the injected one). +bool reaches_in_workers_at(long k, const std::function& fn, bool& bad_alloc); -// The ledger as a sweep compares it: the aggregate, the residual, every record field (FlowIds -// keep their local ids: a reference sequence runs on another ledger), the next FlowId and the -// bound and orphaned owners. -struct LedgerState { - std::vector allocated; - std::vector residual; - std::vector records; - std::int64_t next_id {0}; - std::vector bound; - std::vector orphans; -}; +namespace netgraph::core::test { -inline LedgerState ledger_state(const FlowLedger& fg) { - using detail::LedgerAccess; - LedgerState s {fg.allocated(), fg.residual(), fg.records(), LedgerAccess::next_flow_id(fg), - LedgerAccess::bound_owners(fg), LedgerAccess::orphan_owners(fg)}; - for (auto& r : s.records) { - EXPECT_EQ(r.flow_id.first, fg.uid()); - r.flow_id.first = 0; - } - return s; +// remove() and a policy's destruction allocate nothing: after place(3), remove() takes the +// policy's records away; after place(2), the destruction leaves them as orphans, the aggregate as +// it was and the policy no longer bound. +template +void expect_removal_and_release_allocate_nothing(const FlowLedger& fg, std::unique_ptr& p, + const std::string& where) { + (void)p->place(3); + ASSERT_FALSE(fg.records().empty()) << where; // something to remove + EXPECT_FALSE(fails_at(0, [&] { p->remove(); })) << where; + EXPECT_TRUE(fg.records().empty()) << where; + (void)p->place(2); + const LedgerState held = ledger_state(fg); + ASSERT_FALSE(held.records.empty()) << where; // something to orphan + ASSERT_EQ(held.bound.size(), 1U) << where; + EXPECT_FALSE(fails_at(0, [&] { p.reset(); })) << where; + const LedgerState orphaned = ledger_state(fg); + EXPECT_EQ(orphaned.allocated, held.allocated) << where; + EXPECT_EQ(orphaned.records.size(), held.records.size()) << where; + EXPECT_TRUE(orphaned.bound.empty()) << where; + EXPECT_EQ(orphaned.orphans, held.bound) << where; } -inline bool same_record(const FlowRecord& a, const FlowRecord& b) { - return a.flow_id == b.flow_id && a.owner == b.owner && a.sources == b.sources && a.destinations == b.destinations && - a.placement == b.placement && a.admission == b.admission && a.bundle && b.bundle && *a.bundle == *b.bundle && - a.route_cost == b.route_cost && a.offered == b.offered && a.delivered == b.delivered && a.edges == b.edges && - a.drops == b.drops; -} +// What a placement sweep sets up on a fresh ledger before the call under test: the policy it +// calls, and what must stay alive with it (third parties, a wrapper of the policy). +struct Staged { + std::shared_ptr keep; + FlowPolicy* policy {nullptr}; +}; -inline void expect_same(const LedgerState& a, const LedgerState& b, const std::string& where) { - EXPECT_EQ(a.allocated, b.allocated) << where; - EXPECT_EQ(a.residual, b.residual) << where; - EXPECT_EQ(a.next_id, b.next_id) << where; - EXPECT_EQ(a.bound, b.bound) << where; - EXPECT_EQ(a.orphans, b.orphans) << where; - ASSERT_EQ(a.records.size(), b.records.size()) << where; - for (std::size_t i = 0; i < a.records.size(); ++i) { - EXPECT_TRUE(same_record(a.records[i], b.records[i])) << where << " record " << i; +// The placement-atomicity sweep of one call. setup(ledger) stages everything before the call on a +// fresh ledger of g (third parties, the policy and its earlier calls); call(policy) is the call +// under test. The reference stages and calls once without a failure, then removes the policy. +// Attempt `at` (from 0) stages afresh (the same ledger state and epoch as the reference's) and +// makes the at-th allocation of the call fail; after the failure the ledger and the policy's epoch +// are as before the call and the aggregate is balanced, a clean retry gives the reference's result, +// ledger and epoch, and remove() leaves the ledger the reference's remove() left. Everything an +// attempt allocates is freed when it ends (the reference has already grown this thread's scratch), +// so a live allocation left after an attempt is a leak of the failed call. The sweep ends at the +// first attempt that completes, whose result, ledger and epoch must be the reference's, or at the first +// reported difference. Returns the failures injected. +inline long sweep_placement(const std::shared_ptr& g, const std::string& where, + const std::function& setup, + const std::function& call) { + FlowLedger ref(g); + const Staged staged_ref = setup(ref); + const LedgerState initial = ledger_state(ref); + const Epoch initial_epoch = epoch(*staged_ref.policy); + const PlacementResult want = call(*staged_ref.policy); + const LedgerState after = ledger_state(ref); + const Epoch want_epoch = epoch(*staged_ref.policy); + staged_ref.policy->remove(); + const LedgerState removed = ledger_state(ref); + long injected = 0; + for (long at = 0;; ++at) { + const std::string w = where + " allocation " + std::to_string(at); + const long live = g_live.load(); + bool completed = false; + { + FlowLedger fg(g); + const Staged staged = setup(fg); + FlowPolicy& p = *staged.policy; + expect_same(ledger_state(fg), initial, w + " (setup)"); + expect_same(epoch(p), initial_epoch, w + " (setup)"); + PlacementResult got; + if (!fails_at(at, [&] { got = call(p); })) { + expect_same(got, want, w + " (no failure)"); + expect_same(ledger_state(fg), after, w + " (no failure)"); + expect_same(epoch(p), want_epoch, w + " (no failure)"); + completed = true; + } else { + ++injected; + // Failed: nothing changed, ledger and policy. + expect_same(ledger_state(fg), initial, w + " (failed call)"); + expect_same(epoch(p), initial_epoch, w + " (failed call)"); + expect_balanced(fg, w + " (failed call)"); + // A clean retry is the reference call (no poisoned per-thread scratch). + expect_same(call(p), want, w + " (retry)"); + expect_same(ledger_state(fg), after, w + " (retry)"); + expect_same(epoch(p), want_epoch, w + " (retry)"); + expect_balanced(fg, w + " (retry)"); + p.remove(); + expect_same(ledger_state(fg), removed, w + " (remove)"); + } + } + EXPECT_EQ(g_live.load(), live) << w << ": a leak"; + if (completed || ::testing::Test::HasFailure()) break; } + return injected; } -// The ledger invariant: the aggregate is the sum of the records, within [0, baseline]. -inline void expect_balanced(const FlowLedger& fg, const std::string& where) { - std::vector sum(fg.allocated().size(), 0); - for (const auto& r : fg.records()) { - for (const auto& [e, x] : r.edges) sum[static_cast(e)] += x; +// The scratch-growth sweep. Attempt `at` (from 0) runs on a new thread, whose per-thread scratch +// starts empty: warm_up() (a call on a small graph), then attempt(at, where), which makes the +// at-th allocation of the swept call on a larger graph fail, checks the failed call, compares its +// retry (or the call itself, when the failure is not reached) with a reference call made +// beforehand without a failure, and returns whether the failure was reached; the sweep ends at the +// first attempt that completes. Each attempt's thread frees its scratch when it ends, so a live +// allocation left after the join is a leak of the failed call. Then, on one more new thread, +// warm_up() and warm(), which grows the scratch to the larger graph and returns how many +// allocations the swept call still makes: fewer than the sweep's failures, so the sweep reached +// the growth. Returns the sweep's failures. +inline long sweep_scratch_growth(const std::string& what, const std::function& warm_up, + const std::function& attempt, + const std::function& warm) { + long failures = 0; + for (long at = 0;; ++at) { + bool failed = false; + const std::string w = what + " allocation " + std::to_string(at); + const long live = g_live.load(); + std::thread([&] { + warm_up(); + failed = attempt(at, w); + }).join(); + EXPECT_EQ(g_live.load(), live) << w << ": a leak"; // the thread's scratch is gone with it + if (!failed) break; + ++failures; + if (::testing::Test::HasFailure() || at >= 1000) { + ADD_FAILURE() << what << ": stopped at allocation " << at; + return failures; + } } - EXPECT_EQ(sum, fg.allocated()) << where; - for (Amount x : fg.residual()) EXPECT_GE(x, 0) << where; -} - -// Every field of a placement result. -inline void expect_same(const PlacementResult& a, const PlacementResult& b, const std::string& where) { - EXPECT_EQ(a.placed, b.placed) << where; - EXPECT_EQ(a.remaining, b.remaining) << where; - EXPECT_EQ(a.termination, b.termination) << where; - EXPECT_EQ(a.local_outcomes, b.local_outcomes) << where; - EXPECT_EQ(a.routes_changed, b.routes_changed) << where; - EXPECT_EQ(a.weights_changed, b.weights_changed) << where; - EXPECT_EQ(a.drops, b.drops) << where; - EXPECT_EQ(a.cost_distribution, b.cost_distribution) << where; - EXPECT_EQ(a.edge_flows, b.edge_flows) << where; - EXPECT_EQ(a.residual, b.residual) << where; - EXPECT_EQ(a.bottleneck, b.bottleneck) << where; - EXPECT_EQ(a.min_cut, b.min_cut) << where; + long warm_count = 0; + std::thread([&] { + warm_up(); + warm_count = warm(); + }).join(); + EXPECT_GT(failures, warm_count) << what; + return failures; } } // namespace netgraph::core::test diff --git a/tests/cpp/flow_core_deletion_fault_tests.cpp b/tests/cpp/flow_core_deletion_fault_tests.cpp index 95acf70..f2687f8 100644 --- a/tests/cpp/flow_core_deletion_fault_tests.cpp +++ b/tests/cpp/flow_core_deletion_fault_tests.cpp @@ -1,11 +1,14 @@ -// Allocation-failure atomicity of the deletion re-solve's paths (APPROACH 2.2, 13): the capture +// Allocation-failure atomicity of the deletion re-solve's paths: the capture // of a solve's final state (on cold and growing threads), the copy and the copy assignment of a // state (between states of different sizes, on 1, 2 and 4 threads), a resolver's construction // and every re-solve are swept over every allocation they make, and Global sensitivity over every // allocation on 1, 2 and 4 workers. After each injected std::bad_alloc nothing is captured or -// constructed, an assigned state keeps its old value, the saved state is unchanged, and a clean -// retry (the same resolver included) gives the reference result. Runs in the fault-injection -// executable (fault_injection.hpp). +// constructed, no allocation is left live once the attempt's objects are gone, an +// assigned state keeps its old value, the network every state and resolver shares is unchanged, +// and a clean retry (the same resolver included) gives the reference result. A state's and a +// resolver's moves allocate nothing. The state comparators of these checks have negative +// controls field by field (the last test). Runs in the fault-injection executable +// (fault_injection.hpp). #include #include @@ -13,6 +16,7 @@ #include #include #include +#include #include #include #include @@ -33,7 +37,7 @@ using detail::DeletionState; namespace { -// Two sources and two destinations; deletions with full, partial and no reroute. +// Two sources and three destinations; deletions with full and with no reroute. std::shared_ptr graph() { return std::make_shared( make_graph(8, {{0, 2, 2, 1}, {1, 2, 1, 2}, {2, 4, 2, 1}, {2, 5, 2, 3}, {1, 5, 1, 7}, {0, 4, 1, 9}, @@ -50,15 +54,13 @@ FlowCoreResult capture(const Graph& g, std::shared_ptr owner, return place_global_units(g, view, kSources, kDestinations, nullptr, std::nullopt, &req); } -bool same_result(const DeletionResult& a, const DeletionResult& b) { - const auto& x = a.counters; - const auto& y = b.counters; - return a.value == b.value && a.potentials == b.potentials && a.cut == b.cut && a.edge_flows == b.edge_flows && - x.dijkstra_runs == y.dijkstra_runs && x.dijkstra_pops == y.dijkstra_pops && x.settled == y.settled && - x.arc_scans == y.arc_scans && x.dinic_phases == y.dinic_phases && x.augmentations == y.augmentations; -} +// The comparators below read a state through its accessors only, so they apply alike to the +// StateFields stand-in of their negative controls (the last test), whose fields can be changed +// one at a time. -bool same_state(const DeletionState& a, const DeletionState& b) { +// The values of two states: residual, potentials, value and the maximum flag. +template +bool same_state(const State& a, const State& b) { return std::vector(a.residual().begin(), a.residual().end()) == std::vector(b.residual().begin(), b.residual().end()) && std::vector(a.potentials().begin(), a.potentials().end()) == @@ -68,17 +70,21 @@ bool same_state(const DeletionState& a, const DeletionState& b) { // Every field of two populated states: the graph and the network by identity (copies share // them), the rest by value. -bool identical(const DeletionState& a, const DeletionState& b) { - const auto& x = a.counters(); - const auto& y = b.counters(); +template +bool identical(const State& a, const State& b) { return &a.graph() == &b.graph() && &a.network() == &b.network() && same_state(a, b) && - x.dijkstra_runs == y.dijkstra_runs && x.dijkstra_pops == y.dijkstra_pops && x.settled == y.settled && - x.arc_scans == y.arc_scans && x.dinic_phases == y.dinic_phases && x.augmentations == y.augmentations; + same_counters(a.counters(), b.counters()); +} + +// A state without fields: no residual, no potentials, value 0, not maximum. +template +bool no_fields(const State& s) { + return s.residual().empty() && s.potentials().empty() && s.value() == 0 && !s.maximum(); } // A state that never held a solve: no fields, and no resolver accepts it. bool empty_state(const DeletionState& s) { - if (!s.residual().empty() || !s.potentials().empty() || s.value() != 0 || s.maximum()) return false; + if (!no_fields(s)) return false; try { DeletionResolver rs(s); } catch (const std::invalid_argument&) { @@ -87,6 +93,34 @@ bool empty_state(const DeletionState& s) { return false; } +// A state's fields, read through DeletionState's accessors and writable one at a time. +struct StateFields { + const Graph* graph_ {nullptr}; + const detail::Network* network_ {nullptr}; + std::vector residual_ {}; + std::vector potentials_ {}; + Amount value_ {0}; + bool maximum_ {false}; + detail::FlowCoreCounters counters_ {}; + [[nodiscard]] const Graph& graph() const { return *graph_; } + [[nodiscard]] const detail::Network& network() const { return *network_; } + [[nodiscard]] std::span residual() const { return residual_; } + [[nodiscard]] std::span potentials() const { return potentials_; } + [[nodiscard]] Amount value() const { return value_; } + [[nodiscard]] bool maximum() const { return maximum_; } + [[nodiscard]] const detail::FlowCoreCounters& counters() const { return counters_; } +}; + +StateFields fields_of(const DeletionState& s) { + return {&s.graph(), + &s.network(), + {s.residual().begin(), s.residual().end()}, + {s.potentials().begin(), s.potentials().end()}, + s.value(), + s.maximum(), + s.counters()}; +} + // A captured state with its re-solve of every positive-flow edge. struct Saved { DeletionState state; @@ -107,11 +141,7 @@ Saved saved(std::shared_ptr g, const std::vector& sources, } // The path 0 -> 1 -> ... -> n - 1 (cost 1 per edge) at capacity c. -Saved chain(std::int32_t n, Amount c) { - std::vector edges; - for (NodeId v = 0; v + 1 < n; ++v) edges.push_back({v, v + 1, c, 1}); - return saved(std::make_shared(make_graph(n, edges)), {0}, {n - 1}); -} +Saved chain(std::int32_t n, Amount c) { return saved(chain_graph(n, c), {0}, {n - 1}); } // The state is identical to `want`'s and serves its re-solves: a resolver on it gives every // reference result (never run on a state that is not identical: a hybrid could crash it). @@ -124,11 +154,6 @@ bool holds(const DeletionState& s, const Saved& want) { return !want.results.empty(); } -// Whether a copy of `from` needs more storage than `to` holds: then every assignment allocates. -bool grows(const DeletionState& to, const DeletionState& from) { - return from.residual().size() > to.residual().size() || from.potentials().size() > to.potentials().size(); -} - // States of different coordinate sizes (N + 2 vertices and slots: 4 and 6 for the 2-node path, // 8 and 14 for the 6-node paths, 10 and 34 for the 8-node graph, 13 and 24 for the 11-node path), // and two of equal sizes with different residuals and values. @@ -150,45 +175,88 @@ TEST(DeletionFaults, CaptureFailsWithoutAStateOrAChangedPayload) { DeletionCapture want; const auto payload = capture(*g, g, want); ASSERT_TRUE(want.state.has_value()); + // The same solve without a capture, its view allocated alike: the sweep below must also fail + // the allocations of the captured state. + long plain = 0; + while (fails_at(plain, [&] { + const std::vector view(g->capacity_units().begin(), g->capacity_units().end()); + (void)place_global_units(*g, view, kSources, kDestinations, nullptr, std::nullopt); + })) { + ++plain; + } int failures = 0; for (long at = 0;; ++at) { - DeletionCapture req; - FlowCoreResult got; - if (!fails_at(at, [&] { got = capture(*g, g, req); })) { - EXPECT_TRUE(same_payload(got, payload)); - ASSERT_TRUE(req.state.has_value()); - EXPECT_TRUE(same_state(*req.state, *want.state)); - break; + // Everything an attempt allocates is freed when it ends (the reference capture above grew + // this thread's solver), so an allocation left live is a leak of the failed capture. + const long live = g_live.load(); + bool failed = false; + { + DeletionCapture req; + FlowCoreResult got; + failed = fails_at(at, [&] { got = capture(*g, g, req); }); + if (!failed) { + EXPECT_TRUE(same_payload(got, payload)); + ASSERT_TRUE(req.state.has_value()); + EXPECT_TRUE(same_state(*req.state, *want.state)); + } else { + ++failures; + EXPECT_FALSE(req.state.has_value()) << "allocation " << at; + DeletionCapture retry; + EXPECT_TRUE(same_payload(capture(*g, g, retry), payload)) << "retry after allocation " << at; + } } - ++failures; - EXPECT_FALSE(req.state.has_value()) << "allocation " << at; - DeletionCapture retry; - EXPECT_TRUE(same_payload(capture(*g, g, retry), payload)) << "retry after allocation " << at; + EXPECT_EQ(g_live.load(), live) << "allocation " << at << ": a leak"; + if (!failed) break; } - EXPECT_GT(failures, 10); + EXPECT_GT(failures, plain); } +// A failed copy or resolver construction leaves nothing constructed and nothing allocated live; +// each sweep fails every allocation of its call (counted in the test below). TEST(DeletionFaults, CopyAndResolverConstructionFailAtomically) { const auto g = graph(); DeletionCapture req; (void)capture(*g, g, req); - const DeletionState saved = *req.state; - int failures = 0; + int copy_failures = 0; for (long at = 0;; ++at) { std::optional copy; + const long live = g_live.load(); if (!fails_at(at, [&] { copy.emplace(*req.state); })) break; - ++failures; + ++copy_failures; EXPECT_FALSE(copy.has_value()) << "copy, allocation " << at; - EXPECT_TRUE(same_state(*req.state, saved)) << "copy, allocation " << at; + EXPECT_EQ(g_live.load(), live) << "copy, allocation " << at << ": a leak"; } + int resolver_failures = 0; for (long at = 0;; ++at) { std::unique_ptr rs; + const long live = g_live.load(); if (!fails_at(at, [&] { rs = std::make_unique(*req.state); })) break; - ++failures; + ++resolver_failures; EXPECT_EQ(rs, nullptr) << "resolver, allocation " << at; - EXPECT_TRUE(same_state(*req.state, saved)) << "resolver, allocation " << at; + EXPECT_EQ(g_live.load(), live) << "resolver, allocation " << at << ": a leak"; + } + EXPECT_EQ(copy_failures, 2); // the residual and the potentials + EXPECT_EQ(resolver_failures, 1 + 10); // the resolver itself, then its construction (below) +} + +// A resolver reads its state's network in place and copies none of its 14 +// arrays. Its construction makes exactly the state copy's allocations (the residual and the +// potentials) plus 8 of its own: the solver, and its working arrays (levels, marks, current +// arcs, residual, wide potentials, wide distances, stamps). Counted on states of 4 to 13 +// vertices; a failure at each of them constructs nothing (the sweep above). +TEST(DeletionFaults, AResolverAllocatesNoNetwork) { + auto allocations = [](const std::function& fn) { + long at = 0; + while (fails_at(at, fn)) ++at; + return at; + }; + for (const auto& s : assignment_states()) { + const DeletionState& st = s.state; + const long copy = allocations([&] { DeletionState c(st); }); + const long resolver = allocations([&] { DeletionResolver rs(st); }); + EXPECT_EQ(copy, 2) << st.network().num_nodes; + EXPECT_EQ(resolver, copy + 8) << st.network().num_nodes; } - EXPECT_GT(failures, 10); } // Every positive-flow edge, every allocation of a re-solve on a fresh resolver (its working @@ -198,8 +266,8 @@ TEST(DeletionFaults, EveryReSolveFailsWithoutPoisoningItsResolver) { DeletionCapture req; (void)capture(*g, g, req); const DeletionState saved = *req.state; + const detail::Network network = saved.network(); // the shared network, as captured const auto flows = saved.edge_flows(); - int failures = 0; int candidates = 0; for (EdgeId e = 0; e < g->num_edges(); ++e) { if (flows[static_cast(e)] <= 0) continue; @@ -208,62 +276,74 @@ TEST(DeletionFaults, EveryReSolveFailsWithoutPoisoningItsResolver) { for (bool warm : {false, true}) { DeletionResolver kept(saved); if (warm) (void)kept.resolve(e); + int failures = 0; for (long at = 0;; ++at) { - DeletionResolver fresh(saved); - DeletionResolver& rs = warm ? kept : fresh; - DeletionResult got; - if (!fails_at(at, [&] { got = rs.resolve(e); })) { - EXPECT_TRUE(same_result(got, want)) << "edge " << e; - break; + // A fresh resolver ends with the attempt; the warm one already holds its grown storage. + // So an allocation left live after the attempt is a leak of the failed re-solve. + const long live = g_live.load(); + bool failed = false; + { + DeletionResolver fresh(saved); + DeletionResolver& rs = warm ? kept : fresh; + DeletionResult got; + failed = fails_at(at, [&] { got = rs.resolve(e); }); + if (!failed) { + EXPECT_TRUE(same_result(got, want)) << "edge " << e; + } else { + ++failures; + EXPECT_TRUE(same_network(saved.network(), network)) << "edge " << e << " allocation " << at; + EXPECT_TRUE(same_result(rs.resolve(e), want)) << "edge " << e << " retry after allocation " << at; + } } - ++failures; - EXPECT_TRUE(same_state(*req.state, saved)) << "edge " << e << " allocation " << at; - EXPECT_TRUE(same_result(rs.resolve(e), want)) << "edge " << e << " retry after allocation " << at; + EXPECT_EQ(g_live.load(), live) << "edge " << e << " warm " << warm << " allocation " << at << ": a leak"; + if (!failed) break; } + // Every re-solve allocates (its result's arrays at least), warm or fresh. + EXPECT_GE(failures, 3) << "edge " << e << " warm " << warm; } } EXPECT_GE(candidates, 5); - EXPECT_GT(failures, 50); } -// Review-coherence RC1: a copy assignment between populated states of different coordinate sizes -// (and onto itself) fails at every allocation without changing its target; the reviewer's -// reproducer (the 6-node path assigned to the 2-node path) is one of the pairs. A failed target is +// A copy assignment between populated states of different coordinate sizes +// (and onto itself) fails at every allocation without changing its target; the pairs include a +// larger state assigned to a smaller one (the 6-node path to the 2-node path). A failed target is // identical to its old value and serves its re-solves; a finished one is identical to the source. TEST(DeletionFaults, CopyAssignmentFailsWithoutChangingItsTarget) { const auto states = assignment_states(); - int sweeps = 0; - int failures = 0; for (std::size_t i = 0; i < states.size(); ++i) { for (std::size_t j = 0; j < states.size(); ++j) { int failed_here = 0; for (long at = 0;; ++at) { - DeletionState target = states[i].state; const std::string where = "target " + std::to_string(i) + " source " + std::to_string(j) + " allocation " + std::to_string(at); - const bool failed = fails_at(at, [&] { - if (i == j) { - const DeletionState& self = target; - target = self; + const long live = g_live.load(); + bool failed = false; + { + DeletionState target = states[i].state; + failed = fails_at(at, [&] { + if (i == j) { + const DeletionState& self = target; + target = self; + } else { + target = states[j].state; + } + }); + if (!failed) { + EXPECT_TRUE(holds(target, states[j])) << where; } else { - target = states[j].state; + ++failed_here; + EXPECT_TRUE(holds(target, states[i])) << where; } - }); - if (!failed) { - EXPECT_TRUE(holds(target, states[j])) << where; - break; } - ++failed_here; - EXPECT_TRUE(holds(target, states[i])) << where; + EXPECT_EQ(g_live.load(), live) << where << ": a leak"; // the copy built aside is gone + if (!failed) break; ASSERT_FALSE(::testing::Test::HasFailure()) << where; } - ++sweeps; - failures += failed_here; - if (grows(states[i].state, states[j].state)) EXPECT_GE(failed_here, 1) << "target " << i << " source " << j; + // The copy built aside allocates the residual and the potentials, whatever the sizes. + EXPECT_EQ(failed_here, 2) << "target " << i << " source " << j; } } - EXPECT_EQ(sweeps, 25); - EXPECT_GE(failures, 2 * sweeps); // the copy built aside allocates the residual and the potentials } // An empty state (no solve) as the target keeps nothing after a failure and accepts no resolver; @@ -271,14 +351,25 @@ TEST(DeletionFaults, CopyAssignmentFailsWithoutChangingItsTarget) { TEST(DeletionFaults, CopyAssignmentWithAnEmptyStateIsAllOrNothing) { const auto states = assignment_states(); for (std::size_t j = 0; j < states.size(); ++j) { + long failed = 0; for (long at = 0;; ++at) { - DeletionState target; - if (!fails_at(at, [&] { target = states[j].state; })) { - EXPECT_TRUE(holds(target, states[j])) << "source " << j; - break; + const long live = g_live.load(); + bool done = false; + { + DeletionState target; + done = !fails_at(at, [&] { target = states[j].state; }); + if (done) { + EXPECT_TRUE(holds(target, states[j])) << "source " << j; + } else { + ++failed; + EXPECT_TRUE(empty_state(target)) << "source " << j << " allocation " << at; + } } - EXPECT_TRUE(empty_state(target)) << "source " << j << " allocation " << at; + EXPECT_EQ(g_live.load(), live) << "source " << j << " allocation " << at << ": a leak"; + if (done) break; } + // The copy built aside allocates the residual and the potentials (as a copy construction). + EXPECT_EQ(failed, 2) << "source " << j; DeletionState target = states[j].state; const DeletionState none; EXPECT_FALSE(fails_at(0, [&] { target = none; })) << "target " << j; @@ -311,110 +402,133 @@ TEST(DeletionFaults, MovesNeverAllocate) { } // Copy assignments on 1, 2 and 4 threads at once, each thread into its own target from a source -// whose graph and network the other threads' sources share; every allocation of the run fails -// once (any thread's, or the workers' only). A target whose assignment failed or never started -// keeps its old value, every other one holds its source. +// whose graph and network the next thread's target, when there is one, shares (a copy of the same +// state); every allocation of the run fails once (any thread's, or the workers' only). A target +// whose assignment failed or never started keeps its old value, every other one holds its source; +// the runs that failed are those of the threads' own allocations plus two per assignment. TEST(DeletionFaults, CopyAssignmentsOnWorkerThreadsAreAllOrNothing) { const auto states = assignment_states(); const auto k = states.size(); + // Runs body(t) on `workers` threads (on the caller for one), then raises the first error. + const auto on_threads = [](std::size_t workers, const std::function& body, + const std::vector& errors) { + if (workers == 1) { + body(0); + } else { + std::vector pool; + pool.reserve(workers); + try { + for (std::size_t t = 0; t < workers; ++t) pool.emplace_back([&body, t] { body(t); }); // not a copy of body + } catch (...) { + for (auto& th : pool) th.join(); + throw; + } + for (auto& th : pool) th.join(); + } + for (const auto& e : errors) { + if (e) std::rethrow_exception(e); + } + }; for (std::size_t workers : {1, 2, 4}) { for (bool workers_only : {false, true}) { if (workers == 1 && workers_only) continue; - int failures = 0; + // The allocations of the threads alone (their bodies empty). + const std::vector none(workers); + const std::function empty = [](std::size_t) {}; + const auto idle = [&] { on_threads(workers, empty, none); }; + long threads_only = 0; + while (workers_only ? fails_in_workers_at(threads_only, idle) : fails_at(threads_only, idle)) ++threads_only; + long failures = 0; for (long at = 0;; ++at) { - std::vector targets; - for (std::size_t t = 0; t < workers; ++t) targets.push_back(states[t % k].state); - std::vector done(workers, 0); - std::vector errors(workers); - auto body = [&](std::size_t t) noexcept { - try { - targets[t] = states[(t + 1) % k].state; - done[t] = 1; - } catch (...) { - errors[t] = std::current_exception(); - } - }; - auto run = [&] { - if (workers == 1) { - body(0); - } else { - std::vector pool; - pool.reserve(workers); + // The targets, the threads and the copies built aside end with the attempt: an + // allocation left live is a leak of a failed assignment. + const long live = g_live.load(); + bool failed = false; + { + std::vector targets; + for (std::size_t t = 0; t < workers; ++t) targets.push_back(states[t % k].state); + std::vector done(workers, 0); + std::vector errors(workers); + // Wrapped before the sweep's window (the wrapper may allocate). + const std::function body = [&](std::size_t t) noexcept { try { - for (std::size_t t = 0; t < workers; ++t) pool.emplace_back(body, t); + targets[t] = states[(t + 1) % k].state; + done[t] = 1; } catch (...) { - for (auto& th : pool) th.join(); - throw; + errors[t] = std::current_exception(); } - for (auto& th : pool) th.join(); + }; + auto run = [&] { on_threads(workers, body, errors); }; + failed = workers_only ? fails_in_workers_at(at, run) : fails_at(at, run); + for (std::size_t t = 0; t < workers; ++t) { + const auto& want = done[t] != 0 ? states[(t + 1) % k] : states[t % k]; + EXPECT_TRUE(holds(targets[t], want)) << "workers " << workers << " thread " << t << " allocation " << at; } - for (const auto& e : errors) { - if (e) std::rethrow_exception(e); + if (!failed) { + for (std::size_t t = 0; t < workers; ++t) EXPECT_EQ(done[t], 1) << "workers " << workers << " thread " << t; } - }; - const bool failed = workers_only ? fails_in_workers_at(at, run) : fails_at(at, run); - for (std::size_t t = 0; t < workers; ++t) { - const auto& want = done[t] != 0 ? states[(t + 1) % k] : states[t % k]; - EXPECT_TRUE(holds(targets[t], want)) << "workers " << workers << " thread " << t << " allocation " << at; - } - if (!failed) { - for (std::size_t t = 0; t < workers; ++t) EXPECT_EQ(done[t], 1) << "workers " << workers << " thread " << t; - break; } + EXPECT_EQ(g_live.load(), live) << "workers " << workers << " allocation " << at << ": a leak"; + if (!failed) break; ++failures; ASSERT_FALSE(::testing::Test::HasFailure()); ASSERT_LT(at, 1000); } - // Thread 0 assigns the 6-node path to the 2-node path: it allocates in every run. - EXPECT_GE(failures, 1) << "workers " << workers << " workers_only " << workers_only; + // Each assignment allocates twice (the copy built aside), and every allocation failed once. + EXPECT_EQ(failures, threads_only + 2 * static_cast(workers)) + << "workers " << workers << " workers_only " << workers_only; } } } -// Review-coherence's strengthened sweep, kept as regression evidence: every allocation of the -// capture on a thread whose solver is cold, and on one whose solver first served a smaller graph -// (its storage grows), leaves no state and an unchanged payload; the retry on the same thread -// gives the reference payload and state. +// Every allocation of the capture on a thread whose solver is cold, and on one whose solver first +// served a smaller graph (its storage grows), leaves no state and an unchanged payload; the retry +// on the same thread gives the reference payload and state. The sweep's failures outnumber the +// allocations of a capture on a thread whose solver already served this graph: the sweep reached +// the solver's growth (sweep_scratch_growth). TEST(DeletionFaults, CaptureFailsAtEveryAllocationOnAColdOrGrowingThread) { const auto g = graph(); DeletionCapture ref; const auto payload = capture(*g, g, ref); for (bool grow : {false, true}) { - int failures = 0; - for (long at = 0;; ++at) { - bool failed = false; - std::thread worker([&] { - if (grow) (void)chain(2, 2); - DeletionCapture req; - FlowCoreResult got; - failed = fails_at(at, [&] { got = capture(*g, g, req); }); - if (failed) { - EXPECT_FALSE(req.state.has_value()) << "allocation " << at; - got = capture(*g, g, req); - } - EXPECT_TRUE(same_payload(got, payload)) << "allocation " << at; - ASSERT_TRUE(req.state.has_value()); - EXPECT_TRUE(same_state(*req.state, *ref.state)) << "allocation " << at; - }); - worker.join(); - if (!failed) break; - ++failures; - ASSERT_FALSE(::testing::Test::HasFailure()); - ASSERT_LT(at, 1000); - } - EXPECT_GT(failures, 30) << "grow " << grow; + sweep_scratch_growth( + grow ? "growing thread" : "cold thread", + [&] { + if (grow) (void)chain(2, 2); + }, + [&](long at, const std::string& w) { + DeletionCapture req; + FlowCoreResult got; + const bool failed = fails_at(at, [&] { got = capture(*g, g, req); }); + if (failed) { + EXPECT_FALSE(req.state.has_value()) << w; + got = capture(*g, g, req); + } + EXPECT_TRUE(same_payload(got, payload)) << w; + EXPECT_TRUE(req.state.has_value() && same_state(*req.state, *ref.state)) << w; + return failed; + }, + [&] { + DeletionCapture first; + (void)capture(*g, g, first); // the solver's storage grows to this graph + long warm = 0; + while (fails_at(warm, [&] { + DeletionCapture again; + (void)capture(*g, g, again); + })) { + ++warm; + } + return warm; + }); } } -// Review-coherence's strengthened sweep, kept as regression evidence: Global sensitivity at every -// allocation (any thread's, and the workers' only) on 1, 2 and 4 workers; after each failure a -// retry gives the reference baseline and every entry. +// Global sensitivity at every allocation (any thread's, and the workers' only) on 1, 2 and 4 +// workers; after each failure a retry gives the reference baseline and every entry. TEST(DeletionFaults, GlobalSensitivityFailsAtEveryAllocation) { const auto g = std::make_shared( make_graph(5, {{0, 1, 2, 1}, {1, 2, 2, 1}, {1, 3, 1, 2}, {3, 2, 1, 2}, {2, 4, 2, 1}, {0, 3, 1, 5}})); - const FlowPolicyConfig cfg {Global {}, FlowPlacement::MaxFlow, Admission::Lossless, - PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)}; - const SensitivityOptions opts {cfg, nullptr, nullptr, OutputOptions {true, true, true}}; + const SensitivityOptions opts {global_config(), nullptr, nullptr, OutputOptions {true, true, true}}; const std::vector sources {0}; const std::vector destinations {4}; const auto want = sensitivity(*g, sources, destinations, opts, 1); @@ -425,8 +539,6 @@ TEST(DeletionFaults, GlobalSensitivityFailsAtEveryAllocation) { for (std::size_t i = 0; i < want.entries.size(); ++i) { EXPECT_EQ(got.entries[i].edge, want.entries[i].edge) << where; EXPECT_EQ(got.entries[i].loss, want.entries[i].loss) << where; - EXPECT_EQ(got.entries[i].status, want.entries[i].status) << where; - EXPECT_EQ(got.entries[i].reason, want.entries[i].reason) << where; } }; for (std::int32_t workers : {1, 2, 4}) { @@ -434,16 +546,25 @@ TEST(DeletionFaults, GlobalSensitivityFailsAtEveryAllocation) { if (workers == 1 && workers_only) continue; int failures = 0; for (long at = 0;; ++at) { - SensitivityResult got; - const auto call = [&] { got = sensitivity(*g, sources, destinations, opts, workers); }; const std::string where = "workers " + std::to_string(workers) + (workers_only ? " (workers only)" : "") + " allocation " + std::to_string(at); - if (!(workers_only ? fails_in_workers_at(at, call) : fails_at(at, call))) { - same(got, where); - break; + // The result and the retry end with the attempt, the workers' scratch with their threads, + // and the reference above grew this thread's: an allocation left live is a leak. + const long live = g_live.load(); + bool failed = false; + { + SensitivityResult got; + const auto call = [&] { got = sensitivity(*g, sources, destinations, opts, workers); }; + failed = workers_only ? fails_in_workers_at(at, call) : fails_at(at, call); + if (!failed) { + same(got, where); + } else { + same(sensitivity(*g, sources, destinations, opts, workers), "retry after " + where); + } } + EXPECT_EQ(g_live.load(), live) << where << ": a leak"; + if (!failed) break; ++failures; - same(sensitivity(*g, sources, destinations, opts, workers), "retry after " + where); ASSERT_FALSE(::testing::Test::HasFailure()); ASSERT_LT(at, 10000); } @@ -451,3 +572,69 @@ TEST(DeletionFaults, GlobalSensitivityFailsAtEveryAllocation) { } } } + +// The negative controls of the comparators above: a copy of a captured state's fields with any +// one field changed is not identical, and with any value field changed not the same state +// either; a vector field is changed both by one more entry and by its last entry's value (so a +// comparator of sizes only, or of a prefix only, fails). A state without fields has none, and +// each field set makes it one with a field. A state serves its own re-solves; another state +// (also one of equal values on another graph), a changed reference result or an empty list of +// results does not. +TEST(DeletionFaults, TheStateComparatorsCompareEveryField) { + const Saved six = chain(6, 2); + const Saved other = chain(6, 3); + const StateFields st = fields_of(six.state); + const StateFields elsewhere = fields_of(other.state); + ASSERT_TRUE(identical(st, st)); + ASSERT_TRUE(st.maximum_ && st.value_ > 0 && !st.residual_.empty() && !st.potentials_.empty()); + ASSERT_NE(st.graph_, elsewhere.graph_); + ASSERT_NE(st.network_, elsewhere.network_); + const std::vector> values = { + [](auto& x) { x.residual_.push_back(0); }, + [](auto& x) { ++x.residual_.back(); }, + [](auto& x) { x.potentials_.push_back(detail::I128 {0}); }, + [](auto& x) { x.potentials_.back() += detail::I128 {1}; }, + [](auto& x) { ++x.value_; }, + [](auto& x) { x.maximum_ = !x.maximum_; }, + }; + for (std::size_t k = 0; k < values.size(); ++k) { + StateFields x = st; + values[k](x); + EXPECT_FALSE(same_state(x, st)) << "value field " << k; + EXPECT_FALSE(identical(x, st)) << "value field " << k; + } + const std::vector> others = { + [&](auto& x) { x.graph_ = elsewhere.graph_; }, + [&](auto& x) { x.network_ = elsewhere.network_; }, + [](auto& x) { ++x.counters_.dijkstra_runs; }, + [](auto& x) { ++x.counters_.augmentations; }, + }; + for (std::size_t k = 0; k < others.size(); ++k) { + StateFields x = st; + others[k](x); + EXPECT_TRUE(same_state(x, st)) << "identity or counter field " << k; + EXPECT_FALSE(identical(x, st)) << "identity or counter field " << k; + } + const StateFields none {}; + EXPECT_TRUE(no_fields(none)); + for (std::size_t k = 0; k < values.size(); ++k) { + if (k == 1 || k == 3) continue; // the last entry's value: none has no entry + StateFields x = none; + values[k](x); + EXPECT_FALSE(no_fields(x)) << "value field " << k; + } + EXPECT_TRUE(empty_state(DeletionState {})); + EXPECT_FALSE(empty_state(six.state)); + EXPECT_TRUE(holds(six.state, six)); + EXPECT_FALSE(holds(other.state, six)); + const Saved twin = chain(6, 2); // equal values on another graph and network + ASSERT_TRUE(same_state(twin.state, six.state)); + EXPECT_FALSE(holds(twin.state, six)); + Saved changed = six; + ASSERT_FALSE(changed.results.empty()); + ++changed.results.back().second.value; + EXPECT_FALSE(holds(six.state, changed)); + Saved no_results = six; + no_results.results.clear(); + EXPECT_FALSE(holds(six.state, no_results)); +} diff --git a/tests/cpp/flow_core_deletion_tests.cpp b/tests/cpp/flow_core_deletion_tests.cpp index 7a86141..774ad85 100644 --- a/tests/cpp/flow_core_deletion_tests.cpp +++ b/tests/cpp/flow_core_deletion_tests.cpp @@ -1,10 +1,17 @@ -// The deletion re-solve of the flow core (APPROACH 2.2) and the exact sensitivity model that uses -// it (APPROACH 11). Every check is independent of the repair: a solve from zero on the deleted -// view, the Bellman-Ford curve of test_utils.hpp, residuals rebuilt from flows, divergences and -// reduced costs computed here in __int128. +// The deletion re-solve of the flow core and the exact sensitivity model that uses it. Every check +// is independent of the repair: a solve from zero on the deleted view, the Bellman-Ford curve of +// test_utils.hpp, residuals rebuilt from flows, divergences and reduced costs computed here in +// the exact test integer of test_int128.hpp. Without the private hooks, check_deletion checks +// each re-solve's final result only: the probe that observes every intermediate state of the +// repairs is a hook. Three tests check the test tools themselves: the portable 128-bit classes of +// test_int128.hpp against the built-in type, the equality helpers of test_utils.hpp field by +// field, and this file's check_residual against a broken state per clause. #include +#include #include +#include +#include #include #include #include @@ -32,9 +39,7 @@ using detail::Network; constexpr std::size_t kNone = std::numeric_limits::max(); -__int128 wide(I128 x) { - return static_cast<__int128>((static_cast(static_cast(x.hi)) << 64) | x.lo); -} +Int128 wide(I128 x) { return int128_of(x.hi, x.lo); } // A solve to capture: the graph, the view, the endpoint sets, the eligibility and the cap. struct Case { @@ -64,14 +69,8 @@ DeletionCapture capture_of(const Case& c, FlowCoreResult* payload = nullptr) { return req; } -__int128 cost_of(const Graph& g, const std::vector& flows) { - __int128 total = 0; - for (std::size_t e = 0; e < flows.size(); ++e) total += static_cast<__int128>(g.cost()[e]) * flows[e]; - return total; -} - -__int128 cost_sum(const Graph& g) { - __int128 c = 0; +Int128 cost_sum(const Graph& g) { + Int128 c = 0; for (Cost w : g.cost()) c += w; return c; } @@ -124,22 +123,22 @@ std::vector residual_of(const Network& net, const std::vector& f } // The divergences (outflow minus inflow) every vertex should have: `at` lists (vertex, value). -std::vector<__int128> divergences(const Network& net, std::initializer_list> at) { - std::vector<__int128> d(static_cast(net.num_nodes) + 2, 0); +std::vector divergences(const Network& net, std::initializer_list> at) { + std::vector d(static_cast(net.num_nodes) + 2, 0); for (auto [v, x] : at) d[static_cast(v)] += x; return d; } -// The failed checks of a residual with potentials on the network (APPROACH 2.2): capacity +// The failed checks of a residual with potentials on the network: capacity // bounds (both arcs of a pair non-negative, summing to the pair's capacity; the deleted edge's // pair zero), the divergence vector `want`, non-negative reduced cost on every positive // residual arc (real and virtual), and the bound `bound` on every potential (non-negative). std::vector check_residual(const Network& net, std::span res, std::span pi, - std::size_t deleted, const std::vector<__int128>& want, __int128 bound) { + std::size_t deleted, const std::vector& want, Int128 bound) { std::vector fails; const auto n = static_cast(net.num_nodes) + 2; if (res.size() != net.arc_head.size() || pi.size() != n) return {"shape"}; - std::vector<__int128> div(n, 0); + std::vector div(n, 0); for (std::size_t k = 0; k < net.edges.size(); ++k) { const auto fwd = static_cast(net.edge_slot[k]); const auto bwd = static_cast(net.rev[fwd]); @@ -157,7 +156,7 @@ std::vector check_residual(const Network& net, std::span(net.rev[a])] < 0 || - static_cast<__int128>(res[a]) + res[static_cast(net.rev[a])] != kMaxFlowCap) { + static_cast(res[a]) + res[static_cast(net.rev[a])] != kMaxFlowCap) { fails.push_back("capacity bounds at a virtual arc"); } div[from] += flow; @@ -177,7 +176,7 @@ std::vector check_residual(const Network& net, std::span(tail[a]); const auto v = static_cast(net.arc_head[a]); - if (static_cast<__int128>(net.arc_cost[a]) + wide(pi[u]) - wide(pi[v]) < 0) { + if (static_cast(net.arc_cost[a]) + wide(pi[u]) - wide(pi[v]) < 0) { fails.push_back("negative reduced cost on slot " + std::to_string(a) + (u >= S || v >= S ? " (virtual)" : "")); } } @@ -187,8 +186,8 @@ std::vector check_residual(const Network& net, std::span res) { +// The vertices the real sources reach over positive residual arcs (their residual closure). +std::vector closure_of(const Network& net, std::span res) { const auto n = static_cast(net.num_nodes) + 2; std::vector seen(n, 0); std::vector queue; @@ -206,68 +205,105 @@ bool connected(const Network& net, std::span res) { } } } - return seen[n - 1] != 0; + return seen; +} + +// Whether the real sources reach t* over positive residual arcs. +bool connected(const Network& net, std::span res) { return closure_of(net, res).back() != 0; } + +// The cut of a residual: the network's edges of positive capacity, the deleted one aside, from the +// closure of the real sources to its complement, ascending EdgeId. +std::vector closure_cut(const Network& net, std::span res, std::size_t deleted) { + const auto seen = closure_of(net, res); + std::vector cut; + for (std::size_t k = 0; k < net.edges.size(); ++k) { + if (k == deleted || net.cap[k] <= 0) continue; + if (seen[static_cast(net.tail[k])] != 0 && seen[static_cast(net.head[k])] == 0) { + cut.push_back(net.edges[k]); + } + } + return cut; +} + +// The Dijkstra-run bound of a re-solve of an edge carrying f units: at most m + 2 r runs, where r +// is the remainder (the units lost) and m = f - r the units repair 1 reroutes. The failed clause, +// "" when the bound holds. +std::string run_bound_failure(const DeletionState& st, Amount f, const DeletionResult& r) { + const Amount rem = st.value() - r.value; + if (rem < 0) return "the re-solve gained value"; + if (r.counters.dijkstra_runs > (f - rem) + 2 * rem) return "more Dijkstra runs than m + 2 r"; + return ""; } #if NETGRAPH_CORE_PRIVATE_HOOKS +// What the probe reported, per repair (0 after the deletion, 1 to 3 the repairs, 4 at +// completion): the events of each kind and the amount the repair had moved at its last event. +struct Observation { + int updates[5] = {0, 0, 0, 0, 0}; + int pushes[5] = {0, 0, 0, 0, 0}; + Amount moved[5] = {0, 0, 0, 0, 0}; +}; + // The re-solve of e observed by the probe: every observed state (after the deletion, after every // potential update and push of the three repairs, at completion) is checked against the -// capacity bounds, the exact divergence vector of 2.2 for the amounts moved so far and dual +// capacity bounds, the exact divergence vector for the amounts moved so far and dual // feasibility on every positive residual arc. `updates` collects the counters after every -// potential update with its repair. +// potential update with its repair; `seen` counts the events. DeletionResult observed(DeletionResolver& rs, const DeletionState& st, EdgeId e, std::vector& fails, - bool rerun = false, std::vector>* updates = nullptr) { + bool rerun = false, std::vector>* updates = nullptr, + Observation* seen = nullptr) { const Network& net = st.network(); const std::size_t k = local_of(net, e); const std::int32_t u = net.tail[k]; const std::int32_t v = net.head[k]; const Amount F = st.value(); const Amount f = st.edge_flows()[static_cast(e)]; - const __int128 n = net.num_nodes + 2; - const __int128 bound = (22 * n + 15) * cost_sum(st.graph()); + const Int128 n = net.num_nodes + 2; + const Int128 bound = (22 * n + 15) * cost_sum(st.graph()); Amount moved[5] = {0, 0, 0, 0, 0}; detail::DeletionProbe probe; probe.rerun_failed_search = rerun; probe.observe = [&](const detail::DeletionEvent& ev) { if (ev.repair >= 1 && ev.repair <= 3) moved[ev.repair] = ev.moved; const auto want = divergences(net, {{net.num_nodes, F - moved[2]}, - {net.num_nodes + 1, -static_cast<__int128>(F) + moved[3]}, - {u, -static_cast<__int128>(f) + moved[1] + moved[2]}, - {v, static_cast<__int128>(f) - moved[1] - moved[3]}}); + {net.num_nodes + 1, -static_cast(F) + moved[3]}, + {u, -static_cast(f) + moved[1] + moved[2]}, + {v, static_cast(f) - moved[1] - moved[3]}}); for (const auto& s : check_residual(net, ev.residual, ev.potentials, k, want, bound)) { fails.push_back("repair " + std::to_string(ev.repair) + (ev.push ? " push" : " update") + ": " + s); } if (updates != nullptr && !ev.push && ev.repair >= 1 && ev.repair <= 3) updates->emplace_back(ev.repair, *ev.counters); + if (seen != nullptr && ev.repair >= 0 && ev.repair <= 4) { + ++(ev.push ? seen->pushes : seen->updates)[ev.repair]; + seen->moved[ev.repair] = ev.moved; + } }; return rs.resolve(e, probe); } #endif -// Every check of 2.2 for the deletion of positive-flow edge e from the captured state of c. -void check_deletion(const Case& c, const DeletionState& st, EdgeId e, const std::string& where) { +// A completed deletion's certificate, separate from the solve so broken answers can be fed to +// every clause. The view, a fresh solve and an independent cost curve supply the expected values. +void expect_deletion(const Case& c, const DeletionState& st, EdgeId e, const DeletionResult& r, + const std::string& where) { const Network& net = st.network(); const std::size_t k = local_of(net, e); - ASSERT_NE(k, kNone) << where; - const Amount f = st.edge_flows()[static_cast(e)]; - ASSERT_GT(f, 0) << where; - DeletionResolver rs(st); - const auto r = rs.resolve(e); -#if NETGRAPH_CORE_PRIVATE_HOOKS - std::vector fails; - const auto ro = observed(rs, st, e, fails); - for (const auto& s : fails) ADD_FAILURE() << where << ": " << s; - EXPECT_EQ(ro.value, r.value) << where; - EXPECT_EQ(ro.edge_flows, r.edge_flows) << where; -#endif - // From zero on V \ {e}, and the independent Bellman-Ford curve. + // Feasible on V \ {e} read per EdgeId: within the view, zero on the deleted edge and on every + // edge the Eligibility excludes. auto view = c.view; view[static_cast(e)] = 0; + ASSERT_EQ(r.edge_flows.size(), view.size()) << where; + for (std::size_t x = 0; x < view.size(); ++x) { + EXPECT_TRUE(r.edge_flows[x] >= 0 && r.edge_flows[x] <= view[x]) << where << " edge " << x; + if (c.el() != nullptr && !c.el()->edge_ok(static_cast(x))) EXPECT_EQ(r.edge_flows[x], 0) << where; + } + // From zero on V \ {e}, and the independent Bellman-Ford curve. const auto fresh = place_global_units(*c.g, view, c.sources, c.destinations, c.el(), std::nullopt); const auto ref = independent_curve(*c.g, view, c.sources, c.destinations, c.el()); EXPECT_EQ(r.value, fresh.placed) << where; EXPECT_EQ(r.value, ref.back().first) << where; - EXPECT_TRUE(cost_of(*c.g, r.edge_flows) == cost_of(*c.g, fresh.edge_flows)) << where; - EXPECT_TRUE(cost_of(*c.g, r.edge_flows) == ref.back().second) << where; + EXPECT_TRUE(flow_cost(*c.g, r.edge_flows) == flow_cost(*c.g, fresh.edge_flows)) << where; + EXPECT_TRUE(flow_cost(*c.g, r.edge_flows) == ref.back().second) << where; ASSERT_TRUE(fresh.min_cut.has_value()) << where; EXPECT_EQ(r.cut, *fresh.min_cut) << where; Amount cut_value = 0; @@ -275,19 +311,54 @@ void check_deletion(const Case& c, const DeletionState& st, EdgeId e, const std: EXPECT_EQ(cut_value, r.value) << where; EXPECT_EQ(r.edge_flows[static_cast(e)], 0) << where; // The final residual from the flow: bounds, divergences (value at s*), working potentials - // valid on every positive residual arc, the destinations disconnected. + // valid on every positive residual arc, the destinations disconnected, and the cut its closure's. const auto res = residual_of(net, r.edge_flows, k); - const __int128 n = net.num_nodes + 2; - const auto want = divergences(net, {{net.num_nodes, r.value}, {net.num_nodes + 1, -static_cast<__int128>(r.value)}}); + const Int128 n = net.num_nodes + 2; + const auto want = divergences(net, {{net.num_nodes, r.value}, {net.num_nodes + 1, -static_cast(r.value)}}); for (const auto& s : check_residual(net, res, r.potentials, k, want, (22 * n + 15) * cost_sum(*c.g))) { ADD_FAILURE() << where << ": final: " << s; } EXPECT_FALSE(connected(net, res)) << where; - // At most m + 2 r Dijkstra runs. + EXPECT_EQ(r.cut, closure_cut(net, res, k)) << where; // the cut of that residual + EXPECT_EQ(run_bound_failure(st, st.edge_flows()[static_cast(e)], r), "") << where; +} + +// Every certificate check for the deletion of positive-flow edge e from the captured state of c. +void check_deletion(const Case& c, const DeletionState& st, EdgeId e, const std::string& where) { + const Network& net = st.network(); + const std::size_t k = local_of(net, e); + ASSERT_NE(k, kNone) << where; + const Amount f = st.edge_flows()[static_cast(e)]; + ASSERT_GT(f, 0) << where; + DeletionResolver rs(st); + const auto r = rs.resolve(e); +#if NETGRAPH_CORE_PRIVATE_HOOKS + // rem is the remainder (the units lost) and m the units repair 1 reroutes. const Amount rem = st.value() - r.value; const Amount m = f - rem; - EXPECT_GE(rem, 0) << where; - EXPECT_LE(r.counters.dijkstra_runs, m + 2 * rem) << where; + std::vector fails; + Observation seen; + const auto ro = observed(rs, st, e, fails, false, nullptr, &seen); + for (const auto& s : fails) ADD_FAILURE() << where << ": " << s; + EXPECT_TRUE(same_result(ro, r)) << where; + // The probe fired at every stage: one event after the deletion and one at completion; repair 1 + // searched at least once and pushed exactly when it moved units, m in all; repairs 2 and 3 + // pushed the remainder when there is one and are silent otherwise (repair 2 may reuse repair + // 1's failed search, so it need not search). + EXPECT_EQ(seen.updates[0], 1) << where; + EXPECT_EQ(seen.updates[4], 1) << where; + EXPECT_EQ(seen.pushes[0] + seen.pushes[4], 0) << where; + EXPECT_GE(seen.updates[1], 1) << where; + EXPECT_EQ(seen.pushes[1] > 0, m > 0) << where; + EXPECT_EQ(seen.moved[1], m) << where; + for (const int i : {2, 3}) { + EXPECT_EQ(seen.pushes[i] > 0, rem > 0) << where << " repair " << i; + EXPECT_EQ(seen.moved[i], rem) << where << " repair " << i; + } + EXPECT_EQ(seen.updates[3] > 0, rem > 0) << where; + EXPECT_TRUE(rem > 0 || seen.updates[2] == 0) << where; +#endif + expect_deletion(c, st, e, r, where); } // The captured state's own checks: bounds, divergences, valid working potentials within @@ -296,23 +367,21 @@ void check_state(const Case& c, const DeletionState& st, const FlowCoreResult& p const Network& net = st.network(); EXPECT_EQ(st.value(), payload.placed) << where; EXPECT_EQ(st.edge_flows(), payload.edge_flows) << where; - const __int128 n = net.num_nodes + 2; + const Int128 n = net.num_nodes + 2; const auto want = - divergences(net, {{net.num_nodes, st.value()}, {net.num_nodes + 1, -static_cast<__int128>(st.value())}}); + divergences(net, {{net.num_nodes, st.value()}, {net.num_nodes + 1, -static_cast(st.value())}}); for (const auto& s : check_residual(net, st.residual(), st.potentials(), kNone, want, (n + 1) * cost_sum(*c.g))) { ADD_FAILURE() << where << ": state: " << s; } EXPECT_EQ(st.maximum(), !connected(net, st.residual())) << where; - const auto& x = st.counters(); - const auto& y = payload.counters; - EXPECT_TRUE(x.dijkstra_runs == y.dijkstra_runs && x.dijkstra_pops == y.dijkstra_pops && x.settled == y.settled && - x.arc_scans == y.arc_scans && x.dinic_phases == y.dinic_phases && x.augmentations == y.augmentations) - << where; + EXPECT_TRUE(same_counters(st.counters(), payload.counters)) << where; } // Every allowed edge of the captured state: positive flow by the re-solve, zero flow by a -// solve from zero on V \ {e} (the baseline's value and cost; no re-solve, which rejects it). -void check_every_edge(const Case& c, const std::string& where) { +// solve from zero on V \ {e} and the independent Bellman-Ford curve there (the baseline's value +// and cost; no re-solve, which rejects it). +// `resolved`, when given, counts the edges checked by a re-solve. +void check_every_edge(const Case& c, const std::string& where, int* resolved = nullptr) { FlowCoreResult payload; const auto req = capture_of(c, &payload); ASSERT_TRUE(req.state.has_value()) << where; @@ -320,18 +389,28 @@ void check_every_edge(const Case& c, const std::string& where) { check_state(c, st, payload, where); ASSERT_TRUE(st.maximum()) << where; const auto flows = st.edge_flows(); + DeletionResolver reused(st); + const auto positive = std::find_if(st.network().edges.begin(), st.network().edges.end(), + [&](EdgeId e) { return flows[static_cast(e)] > 0; }); for (EdgeId e : st.network().edges) { const std::string at = where + " edge " + std::to_string(e); if (flows[static_cast(e)] > 0) { check_deletion(c, st, e, at); + if (resolved != nullptr) ++*resolved; } else { auto view = c.view; view[static_cast(e)] = 0; const auto fresh = place_global_units(*c.g, view, c.sources, c.destinations, c.el(), std::nullopt); EXPECT_EQ(fresh.placed, st.value()) << at; - EXPECT_TRUE(cost_of(*c.g, fresh.edge_flows) == cost_of(*c.g, flows)) << at; - DeletionResolver rs(st); - EXPECT_THROW((void)rs.resolve(e), std::invalid_argument) << at; + EXPECT_TRUE(flow_cost(*c.g, fresh.edge_flows) == flow_cost(*c.g, flows)) << at; + const auto ref = independent_curve(*c.g, view, c.sources, c.destinations, c.el()); + EXPECT_EQ(ref.back().first, st.value()) << at; + EXPECT_TRUE(ref.back().second == flow_cost(*c.g, flows)) << at; + EXPECT_EQ(error_of([&] { (void)reused.resolve(e); }), "deletion re-solve: edge " + std::to_string(e) + " carries no flow") + << at; + if (positive != st.network().edges.end()) { + EXPECT_TRUE(same_result(reused.resolve(*positive), DeletionResolver(st).resolve(*positive))) << at; + } } if (::testing::Test::HasFailure()) return; } @@ -353,6 +432,8 @@ Case random_case(std::mt19937_64& rng) { for (std::int64_t i = 0; i < m; ++i) { edges.push_back({static_cast(pick(0, n - 1)), static_cast(pick(0, n - 1)), pick(0, 4), pick(1, 13)}); } + const Cost factor = m % 3 == 0 ? 1000003 : 1; + for (auto& edge : edges) edge.cost *= factor; Case c = make_case(n, edges, s, d); for (auto& x : c.view) { if (pick(0, 1) == 1) x = pick(0, x); // a reduced view @@ -371,6 +452,16 @@ Case random_case(std::mt19937_64& rng) { return c; } +// The positive-flow edges of a state. +std::vector positive_edges(const DeletionState& st) { + std::vector out; + const auto flows = st.edge_flows(); + for (EdgeId e : st.network().edges) { + if (flows[static_cast(e)] > 0) out.push_back(e); + } + return out; +} + } // namespace // ------------------------------------------------------------------ the arithmetic @@ -383,29 +474,107 @@ TEST(FlowCoreDeletion, SignedWideArithmeticMatchesInt128) { x.lo = rng(); return x; }; + int equal = 0; for (int i = 0; i < 20000; ++i) { const I128 a = any(); - const I128 b = any(); - const __int128 x = wide(a); - const __int128 y = wide(b); - const auto wrap = [](__int128 z) { return static_cast<__int128>(static_cast(z)); }; - EXPECT_TRUE(wide(a + b) == wrap(static_cast<__int128>(static_cast(x) + static_cast(y)))); - EXPECT_TRUE(wide(a - b) == wrap(static_cast<__int128>(static_cast(x) - static_cast(y)))); + const I128 b = i % 8 == 0 ? a : any(); // equal operands too (two random ones never are) + const Int128 x = wide(a); + const Int128 y = wide(b); + // Modulo 2^128, through the unsigned type (a signed built-in overflow is undefined). + EXPECT_TRUE(wide(a + b) == static_cast(static_cast(x) + static_cast(y))); + EXPECT_TRUE(wide(a - b) == static_cast(static_cast(x) - static_cast(y))); EXPECT_EQ(a < b, x < y); EXPECT_EQ(a == b, x == y); + equal += a == b ? 1 : 0; const auto c = static_cast(rng()); EXPECT_TRUE(wide(I128 {c}) == c); } + EXPECT_GT(equal, 2000); } +#if defined(__SIZEOF_INT128__) +// The portable classes of test_int128.hpp (the test integer where the compiler has no built-in +// 128-bit type) against the built-in type: every operation, the compound assignments included, +// on operands of every magnitude, the signed and unsigned orders and the conversions. The signed +// built-in sums and products are formed in the unsigned type (a signed overflow is undefined; the +// classes wrap). +TEST(PortableInt128, PortableClassesMatchTheBuiltInType) { + using B = unsigned __int128; + using BS = __int128; + using P = PortableUInt128; + using PS = PortableInt128; + auto to_p = [](B x) { return P::of_words(static_cast(x >> 64), static_cast(x)); }; + auto same = [](P p, B x) { return p.high() == static_cast(x >> 64) && p.low() == static_cast(x); }; + auto same_s = [&](PS p, BS x) { return same(static_cast

(p), static_cast(x)); }; + std::mt19937_64 rng(128); + // Words of every bit length, so carries, borrows, one-word and two-word operands all occur. + auto word = [&] { return rng() >> (rng() % 64); }; + auto any = [&] { + const int shape = static_cast(rng() % 4); + const std::uint64_t hi = shape == 0 ? 0 : (shape == 1 ? ~std::uint64_t {0} : word()); + return (static_cast(hi) << 64) | word(); + }; + int wide_divisors = 0; + for (int i = 0; i < 20000; ++i) { + const B x = any(); + const B y = i % 5 == 0 ? static_cast(1 + rng() % 16) : any(); + const P a = to_p(x); + const P b = to_p(y); + ASSERT_TRUE(same(a + b, x + y) && same(a - b, x - y) && same(a * b, x * y)) << i; + ASSERT_TRUE(same(a | b, x | y) && same(a & b, x & y)) << i; + P t = a; // the compound assignments, in sequence on one value + ASSERT_TRUE(same(t += b, x + y) && same(t -= b, x) && same(t *= b, x * y)) << i; + ASSERT_EQ(a == b, x == y); + ASSERT_EQ(a < b, x < y); + ASSERT_EQ(a <= b, x <= y); + const int s = static_cast(rng() % 128); + ASSERT_TRUE(same(a << s, x << s) && same(a >> s, x >> s)) << i << " shift " << s; + if (y != 0) { + ASSERT_TRUE(same(a / b, x / y) && same(a % b, x % y)) << i; + P q = a; + ASSERT_TRUE(same(q /= b, x / y)) << i; + wide_divisors += (y >> 64) != 0 ? 1 : 0; // the two-word long division + } + ASSERT_EQ(static_cast(a), static_cast(x)); + ASSERT_EQ(static_cast(a), static_cast(x)); + const auto bx = static_cast(x); + const auto by = static_cast(y); + const PS sa(a); + const PS sb(b); + ASSERT_TRUE(same_s(sa + sb, static_cast(x + y)) && same_s(sa - sb, static_cast(x - y)) && + same_s(sa * sb, static_cast(x * y)) && same_s(-sa, static_cast(B {0} - x))) + << i; + PS st = sa; + ASSERT_TRUE(same_s(st += sb, static_cast(x + y)) && same_s(st -= sb, bx) && + same_s(st *= sb, static_cast(x * y))) + << i; + ASSERT_EQ(sa == sb, bx == by); + ASSERT_EQ(sa < sb, bx < by); + ASSERT_EQ(sa > sb, bx > by); + const BS min = static_cast(B {1} << 127); + if (by != 0 && !(bx == min && by == -1)) { + ASSERT_TRUE(same_s(sa / sb, bx / by) && same_s(sa % sb, bx % by)) << i; + } + ASSERT_EQ(static_cast(sa), static_cast(bx)); + const auto c = static_cast(rng()) >> (rng() % 64); + const auto u = rng() >> (rng() % 64); + ASSERT_TRUE(same_s(PS {c}, BS {c}) && same(P {c}, static_cast(c)) && same(P {u}, B {u})) << i; + ASSERT_TRUE(same_s(PS {u}, BS {u}) && same_s(PS {static_cast(c)}, BS {static_cast(c)})); + } + EXPECT_GT(wide_divisors, 5000); +} +#endif + // ------------------------------------------------------------------ the capture // The capture changes no field of the ordinary payload (every field, all six counters): cap 0 // (no search), an infeasible positive cap, caps below, at and above the maximum, uncapped; -// never-reached sentinels and the final failed tier included. +// never-reached sentinels and the final failed tier included. Every captured state also passes +// the state checks, whose reachability test must then say "reachable" for each state stopped +// below the maximum. TEST(FlowCoreDeletion, CaptureLeavesTheFromZeroPayloadUnchanged) { std::mt19937_64 rng(5); - int compared = 0; + int below_maximum = 0; for (int trial = 0; trial < 250; ++trial) { Case c = random_case(rng); const auto ref = independent_curve(*c.g, c.view, c.sources, c.destinations, c.el()); @@ -420,7 +589,9 @@ TEST(FlowCoreDeletion, CaptureLeavesTheFromZeroPayloadUnchanged) { ASSERT_TRUE(same_payload(plain, with)) << "trial " << trial; ASSERT_TRUE(req.state.has_value()); EXPECT_EQ(req.state->maximum(), !cap.has_value() || *cap >= fmax || fmax == 0) << "trial " << trial; - ++compared; + check_state(c, *req.state, with, "trial " + std::to_string(trial)); + if (::testing::Test::HasFailure()) return; + below_maximum += req.state->maximum() ? 0 : 1; } } // An infeasible positive cap: no path, the failed first tier. @@ -433,7 +604,191 @@ TEST(FlowCoreDeletion, CaptureLeavesTheFromZeroPayloadUnchanged) { EXPECT_EQ(with.placed, 0); EXPECT_EQ(with.counters.dijkstra_runs, 1); EXPECT_TRUE(req.state->maximum()); - EXPECT_GT(compared, 1000); + EXPECT_GT(below_maximum, 100); +} + +// The shared equality helpers of test_utils.hpp compare every field: a copy with any one field +// changed is unequal, a vector field both by one more entry and by its last entry's value (so a +// helper comparing sizes only, or a prefix only, fails). +TEST(TestHelpers, EqualityHelpersCompareEveryField) { + Case c = make_case(5, {{0, 1, 3, 3}, {0, 2, 1, 3}, {1, 2, 2, 7}, {2, 3, 1, 3}, {3, 1, 1, 2}}, {0}, {3}); + FlowCoreResult payload; + const auto req = capture_of(c, &payload); + ASSERT_TRUE(req.state.has_value()); + const auto& st = *req.state; + ASSERT_GT(st.value(), 0); + const std::vector> counters = { + [](auto& x) { ++x.dijkstra_runs; }, [](auto& x) { ++x.dijkstra_pops; }, [](auto& x) { ++x.settled; }, + [](auto& x) { ++x.arc_scans; }, [](auto& x) { ++x.dinic_phases; }, [](auto& x) { ++x.augmentations; }, + }; + for (std::size_t k = 0; k < counters.size(); ++k) { + auto x = payload.counters; + counters[k](x); + EXPECT_FALSE(same_counters(x, payload.counters)) << "counter " << k; + } + const std::vector> payloads = { + [](auto& x) { ++x.placed; }, + [](auto& x) { x.cost_distribution.emplace_back(1, 1); }, + [](auto& x) { ++x.cost_distribution.back().first; }, + [](auto& x) { ++x.cost_distribution.back().second; }, + [](auto& x) { x.edge_flows.push_back(0); }, + [](auto& x) { ++x.edge_flows.back(); }, + [](auto& x) { x.min_cut.reset(); }, + [](auto& x) { x.min_cut->push_back(0); }, + [](auto& x) { ++x.min_cut->back(); }, + [](auto& x) { x.potentials.push_back(0); }, + [](auto& x) { ++x.potentials.back(); }, + [](auto& x) { ++x.counters.settled; }, + }; + ASSERT_TRUE(payload.min_cut.has_value() && !payload.min_cut->empty()); + ASSERT_FALSE(payload.cost_distribution.empty()); + for (std::size_t k = 0; k < payloads.size(); ++k) { + auto x = payload; + payloads[k](x); + EXPECT_FALSE(same_payload(x, payload)) << "payload field " << k; + } + EdgeId carrying = 0; + while (st.edge_flows()[static_cast(carrying)] == 0) ++carrying; + const auto result = DeletionResolver(st).resolve(carrying); + const std::vector> results = { + [](auto& x) { ++x.value; }, + [](auto& x) { x.potentials.push_back(I128 {0}); }, + [](auto& x) { x.potentials.back() += I128 {1}; }, + [](auto& x) { x.cut.push_back(0); }, + [](auto& x) { ++x.cut.back(); }, + [](auto& x) { x.edge_flows.push_back(0); }, + [](auto& x) { ++x.edge_flows.back(); }, + [](auto& x) { ++x.counters.augmentations; }, + }; + ASSERT_FALSE(result.cut.empty()); + for (std::size_t k = 0; k < results.size(); ++k) { + auto x = result; + results[k](x); + EXPECT_FALSE(same_result(x, result)) << "result field " << k; + } + const Network& net = st.network(); + const std::vector> networks = { + [](auto& x) { ++x.num_nodes; }, [](auto& x) { x.edges.push_back(0); }, + [](auto& x) { x.tail.push_back(0); }, [](auto& x) { x.head.push_back(0); }, + [](auto& x) { x.cost.push_back(0); }, [](auto& x) { x.cap.push_back(0); }, + [](auto& x) { x.sources.push_back(0); }, [](auto& x) { x.destinations.push_back(0); }, + [](auto& x) { x.off.push_back(0); }, [](auto& x) { x.arc_head.push_back(0); }, + [](auto& x) { x.rev.push_back(0); }, [](auto& x) { x.arc_cost.push_back(0); }, + [](auto& x) { x.edge_slot.push_back(0); }, [](auto& x) { x.src_rev.push_back(0); }, + [](auto& x) { x.dst_fwd.push_back(0); }, + [](auto& x) { ++x.edges.back(); }, [](auto& x) { ++x.tail.back(); }, + [](auto& x) { ++x.head.back(); }, [](auto& x) { ++x.cost.back(); }, + [](auto& x) { ++x.cap.back(); }, [](auto& x) { ++x.sources.back(); }, + [](auto& x) { ++x.destinations.back(); }, [](auto& x) { ++x.off.back(); }, + [](auto& x) { ++x.arc_head.back(); }, [](auto& x) { ++x.rev.back(); }, + [](auto& x) { ++x.arc_cost.back(); }, [](auto& x) { ++x.edge_slot.back(); }, + [](auto& x) { ++x.src_rev.back(); }, [](auto& x) { ++x.dst_fwd.back(); }, + }; + for (std::size_t k = 0; k < networks.size(); ++k) { + Network x = net; + networks[k](x); + EXPECT_FALSE(same_network(x, net)) << "network field " << k; + } + EXPECT_TRUE(same_network(net, net)); +} + +// check_residual is not vacuous: a captured state passes it, and each mutation below breaks the +// clause it names. +TEST(FlowCoreDeletion, ResidualCheckRejectsEachBrokenClause) { + Case c = make_case(5, {{0, 1, 3, 3}, {0, 2, 1, 3}, {1, 2, 2, 7}, {2, 3, 1, 3}, {3, 1, 1, 2}}, {0}, {3}); + const auto req = capture_of(c); + ASSERT_TRUE(req.state.has_value()); + const auto& st = *req.state; + const Network& net = st.network(); + const std::vector res(st.residual().begin(), st.residual().end()); + const std::vector pi(st.potentials().begin(), st.potentials().end()); + const auto want = + divergences(net, {{net.num_nodes, st.value()}, {net.num_nodes + 1, -static_cast(st.value())}}); + const Int128 bound = (static_cast(net.num_nodes) + 3) * cost_sum(*c.g); // (n + 1) C, n = num_nodes + 2 + auto check = [&](const std::vector& r, const std::vector& p, std::size_t deleted = kNone) { + return check_residual(net, r, p, deleted, want, bound); + }; + ASSERT_TRUE(check(res, pi).empty()); + ASSERT_GT(st.value(), 0); + // An edge that carries flow: its backward arc is positive. + std::size_t k = 0; + while (k < net.edges.size() && res[static_cast(net.rev[static_cast(net.edge_slot[k])])] == 0) { + ++k; + } + ASSERT_LT(k, net.edges.size()); + const auto fwd = static_cast(net.edge_slot[k]); + const auto bwd = static_cast(net.rev[fwd]); + // One more unit on the forward arc: the pair exceeds the edge's capacity (the divergences read + // the backward arc only). + auto over = res; + ++over[fwd]; + EXPECT_TRUE(has_failure(check(over, pi), "capacity bounds at edge " + std::to_string(net.edges[k]))); + // One unit from the backward to the forward arc: the pair's sum holds, the edge carries one unit + // less, so its endpoints' divergences are off. + auto less = res; + --less[bwd]; + ++less[fwd]; + EXPECT_TRUE(has_failure(check(less, pi), "divergence vector")); + // A source's virtual pair no longer sums to kMaxFlowCap. + auto virt = res; + ++virt[static_cast(net.src_rev[0])]; + EXPECT_TRUE(has_failure(check(virt, pi), "capacity bounds at a virtual arc")); + // The same residual read as if edge k were deleted: its arcs should be zero. + EXPECT_TRUE(has_failure(check(res, pi, k), "the deleted edge keeps a residual arc")); + // A positive real arc u -> v with pi(v) raised to pi(u) + cost + 1: reduced cost -1. + const auto tail = slot_tails(net); + std::size_t a = 0; + while (a < res.size() && (res[a] <= 0 || tail[a] >= net.num_nodes || net.arc_head[a] >= net.num_nodes)) ++a; + ASSERT_LT(a, res.size()); + auto raised = pi; + raised[static_cast(net.arc_head[a])] = + raised[static_cast(tail[a])] + I128 {net.arc_cost[a] + 1}; + EXPECT_TRUE(has_failure(check(res, raised), "negative reduced cost on slot " + std::to_string(a))); + // A potential below 0 and one above the bound. + auto low = pi; + low[1] = I128 {-1}; + EXPECT_TRUE(has_failure(check(res, low), "potential outside [0, bound] at 1")); + auto high = pi; + high[1] = I128 {static_cast(bound) + 1}; + EXPECT_TRUE(has_failure(check(res, high), "potential outside [0, bound] at 1")); + // Either array one entry too long (a zero residual entry, read by no other clause). + auto longer_res = res; + longer_res.push_back(0); + EXPECT_EQ(check(longer_res, pi), std::vector {"shape"}); + auto longer_pi = pi; + longer_pi.push_back(I128 {0}); + EXPECT_EQ(check(res, longer_pi), std::vector {"shape"}); + // Each arc of a pair negative while the pair's sum holds: edge k's, then the source's virtual + // pair (the moved units also shift the divergences). + auto negative = [&](std::size_t x) { + auto r = res; + const auto y = static_cast(net.rev[x]); + r[y] += r[x] + 1; + r[x] = -1; + return r; + }; + EXPECT_TRUE(has_failure(check(negative(fwd), pi), "capacity bounds at edge " + std::to_string(net.edges[k]))); + EXPECT_TRUE(has_failure(check(negative(bwd), pi), "capacity bounds at edge " + std::to_string(net.edges[k]))); + const auto src_arc = static_cast(net.src_rev[0]); + EXPECT_TRUE(has_failure(check(negative(src_arc), pi), "capacity bounds at a virtual arc")); + EXPECT_TRUE(has_failure(check(negative(static_cast(net.rev[src_arc])), pi), + "capacity bounds at a virtual arc")); + // Read as deleted, edge k with only its forward arc, then only its backward arc, positive. + for (const bool forward : {true, false}) { + auto kept = res; + kept[fwd] = forward ? 1 : 0; + kept[bwd] = forward ? 0 : 1; + EXPECT_TRUE(has_failure(check(kept, pi, k), "the deleted edge keeps a residual arc")) << forward; + } + // A positive virtual arc with its head's potential raised by its cost + 1 over its tail's. + std::size_t b = 0; + while (b < res.size() && (res[b] <= 0 || (tail[b] < net.num_nodes && net.arc_head[b] < net.num_nodes))) ++b; + ASSERT_LT(b, res.size()); + auto raised_virtual = pi; + raised_virtual[static_cast(net.arc_head[b])] = + raised_virtual[static_cast(tail[b])] + I128 {net.arc_cost[b] + 1}; + EXPECT_TRUE( + has_failure(check(res, raised_virtual), "negative reduced cost on slot " + std::to_string(b) + " (virtual)")); } #if NETGRAPH_CORE_PRIVATE_HOOKS @@ -441,7 +796,7 @@ namespace { // Captures c with the independent iterative all-vertex update beside: after every search, each // vertex by its distance or, unreached, by the search's largest finite distance, from 0. -DeletionCapture capture_iterative(const Case& c, std::vector<__int128>& pi, int& searches) { +DeletionCapture capture_iterative(const Case& c, std::vector& pi, int& searches) { pi.assign(static_cast(c.g->num_nodes()) + 2, 0); searches = 0; DeletionCapture req; @@ -467,14 +822,14 @@ DeletionCapture capture_iterative(const Case& c, std::vector<__int128>& pi, int& TEST(FlowCoreDeletion, CheckpointsEqualTheIterativeUpdate) { #if NETGRAPH_CORE_PRIVATE_HOOKS std::mt19937_64 rng(17); - int searched = 0; + int several = 0; for (int trial = 0; trial < 300; ++trial) { Case c = random_case(rng); const Amount fmax = independent_curve(*c.g, c.view, c.sources, c.destinations, c.el()).back().first; for (std::optional cap : {std::optional {}, std::optional {0}, std::optional {fmax / 2}, std::optional {fmax + 1}}) { c.cap = cap; - std::vector<__int128> pi; + std::vector pi; int searches = 0; const auto req = capture_iterative(c, pi, searches); const auto& st = *req.state; @@ -482,13 +837,13 @@ TEST(FlowCoreDeletion, CheckpointsEqualTheIterativeUpdate) { for (std::size_t v = 0; v < pi.size(); ++v) ASSERT_TRUE(wide(st.potentials()[v]) == pi[v]) << trial << " " << v; EXPECT_EQ(searches, st.counters().dijkstra_runs); if (cap == 0) EXPECT_EQ(searches, 0); - searched += searches; + several += searches >= 2 ? 1 : 0; // a running sum of more than one search } } - EXPECT_GT(searched, 1000); + EXPECT_GT(several, 150); // The common-offset mutant: valid reduced costs, the wrong convention. Case c = make_case(5, {{0, 1, 3, 3}, {0, 2, 1, 3}, {1, 2, 2, 7}, {2, 3, 1, 3}, {3, 1, 1, 2}}, {0}, {3}); - std::vector<__int128> pi; + std::vector pi; int searches = 0; const auto req = capture_iterative(c, pi, searches); const auto& st = *req.state; @@ -496,7 +851,7 @@ TEST(FlowCoreDeletion, CheckpointsEqualTheIterativeUpdate) { for (auto& p : shifted) p += 1000; const Network& net = st.network(); const auto want = - divergences(net, {{net.num_nodes, st.value()}, {net.num_nodes + 1, -static_cast<__int128>(st.value())}}); + divergences(net, {{net.num_nodes, st.value()}, {net.num_nodes + 1, -static_cast(st.value())}}); EXPECT_TRUE(check_residual(net, st.residual(), shifted, kNone, want, cost_sum(*c.g) * 1000).empty()); bool same = true; for (std::size_t v = 0; v < pi.size(); ++v) same = same && wide(shifted[v]) == pi[v]; @@ -510,7 +865,7 @@ TEST(FlowCoreDeletion, CheckpointsEqualTheIterativeUpdate) { TEST(FlowCoreDeletion, EveryEdgeOfRandomViewsAgreesWithAFreshSolve) { std::mt19937_64 rng(3005); - int deletions = 0; + int deletions = 0, masked = 0, several = 0, scaled = 0, rerouted = 0, partial = 0, cut = 0, capped = 0; for (int trial = 0; trial < 700; ++trial) { Case c = random_case(rng); const Amount fmax = independent_curve(*c.g, c.view, c.sources, c.destinations, c.el()).back().first; @@ -518,16 +873,85 @@ TEST(FlowCoreDeletion, EveryEdgeOfRandomViewsAgreesWithAFreshSolve) { for (std::optional cap : {std::optional {}, std::optional {std::max(fmax, 1)}, std::optional {fmax + 2}}) { c.cap = cap; + capped += cap.has_value() && *cap == fmax && fmax > 0 ? 1 : 0; check_every_edge(c, "trial " + std::to_string(trial)); if (::testing::Test::HasFailure()) return; } const auto req = capture_of(c); - for (Amount x : req.state->edge_flows()) deletions += x > 0 ? 1 : 0; + const auto& st = *req.state; + for (const EdgeId e : positive_edges(st)) { + ++deletions; + const auto result = DeletionResolver(st).resolve(e); + const Amount flow = st.edge_flows()[static_cast(e)]; + const Amount lost = st.value() - result.value; + masked += c.elig.has_value() && c.elig->uid() != 0 ? 1 : 0; + several += c.sources.size() > 1 || c.destinations.size() > 1 ? 1 : 0; + scaled += c.g->max_cost() > 1000000 ? 1 : 0; + rerouted += lost == 0 ? 1 : 0; + partial += lost > 0 && lost < flow ? 1 : 0; + cut += lost == flow ? 1 : 0; + } } EXPECT_GT(deletions, 600); + EXPECT_GT(masked, 30); + EXPECT_GT(several, 100); + EXPECT_GT(scaled, 20); + EXPECT_GT(rerouted, 10); + EXPECT_GT(partial, 2); + EXPECT_GT(cut, 100); + EXPECT_GT(capped, 100); +} + +// Deliberately damaged answers must trip each of the final-result certificate's clauses. +TEST(FlowCoreDeletion, CertificateRejectsDamagedAnswers) { + Case c = make_case(4, {{0, 1, 3, 1}, {1, 3, 3, 1}, {0, 2, 3, 3}, {2, 3, 3, 1}, + {0, 3, 1, 9}, {2, 2, 1, 7}}, {0}, {3}); + const auto ids = id_of_input(*c.g); + c.elig = c.g->eligibility({}, std::vector {ids[5]}); + const auto captured = capture_of(c); + const auto& st = *captured.state; + const EdgeId deleted = ids[4]; + const auto good = DeletionResolver(st).resolve(deleted); + ASSERT_EQ(good.value, 6); + EXPECT_EQ(failures_of([&] { expect_deletion(c, st, deleted, good, "good"); }), 0); + auto rejects = [&](const DeletionResult& bad, const std::vector& clauses) { + ::testing::TestPartResultArray results; + { + ::testing::ScopedFakeTestPartResultReporter capture( + ::testing::ScopedFakeTestPartResultReporter::INTERCEPT_ONLY_CURRENT_THREAD, &results); + expect_deletion(c, st, deleted, bad, "damaged"); + } + for (const auto& clause : clauses) { + bool found = false; + for (int i = 0; i < results.size(); ++i) { + found = found || std::string(results.GetTestPartResult(i).message()).find(clause) != std::string::npos; + } + EXPECT_TRUE(found) << "missing certificate failure: " << clause; + } + }; + auto bad = good; + bad.edge_flows.pop_back(); + rejects(bad, {"r.edge_flows.size()"}); + bad = good; + bad.edge_flows[static_cast(deleted)] = 1; + rejects(bad, {"r.edge_flows[x] >= 0", "r.edge_flows[static_cast(e)]", + "flow_cost(*c.g, r.edge_flows) == flow_cost(*c.g, fresh.edge_flows)", + "flow_cost(*c.g, r.edge_flows) == ref.back().second"}); + bad = good; + bad.edge_flows[static_cast(ids[5])] = 1; + rejects(bad, {"r.edge_flows[x]"}); + bad = good; + ++bad.value; + rejects(bad, {"fresh.placed", "ref.back().first", "cut_value"}); + bad = good; + bad.cut.clear(); + rejects(bad, {"*fresh.min_cut", "closure_cut(net, res, k)"}); + bad = good; + std::fill(bad.edge_flows.begin(), bad.edge_flows.end(), 0); + rejects(bad, {"connected(net, res)", "final:"}); } -// ------------------------------------------------------------------ witnesses +// ------------------------------------------------------------------ hand-built examples // Repair 1 reroutes everything (m = f, r = 0): u -> w -> v replaces u -> v. TEST(FlowCoreDeletion, FullRepairOneReroute) { @@ -537,14 +961,12 @@ TEST(FlowCoreDeletion, FullRepairOneReroute) { const EdgeId uv = id_of_input(*c.g)[1]; const auto r = DeletionResolver(*req.state).resolve(uv); EXPECT_EQ(r.value, 1); - EXPECT_TRUE(cost_of(*c.g, r.edge_flows) == 12); + EXPECT_TRUE(flow_cost(*c.g, r.edge_flows) == 12); EXPECT_EQ(r.counters.dijkstra_runs, 1); } // No reroute (m = 0, r = 1): deleting the sole unit-capacity source-to-destination edge takes -// exactly two Dijkstra runs; the control that reruns repair 1's failed search takes three and -// fails the m + 2 r bound, with the same flow, potentials, phases and paths; the reuse skips -// exactly that search's work. +// exactly two Dijkstra runs. TEST(FlowCoreDeletion, SoleEdgeTakesTwoSearches) { const Case c = make_case(2, {{0, 1, 1, 1}}, {0}, {1}); check_every_edge(c, "sole edge"); @@ -553,7 +975,25 @@ TEST(FlowCoreDeletion, SoleEdgeTakesTwoSearches) { const auto r = rs.resolve(0); EXPECT_EQ(r.value, 0); EXPECT_EQ(r.counters.dijkstra_runs, 2); + // The run bound of check_deletion (m + 2 r = 2 here) holds, and each of its two clauses reports + // a result that breaks it. + EXPECT_EQ(run_bound_failure(*req.state, 1, r), ""); + DeletionResult gained = r; + gained.value = req.state->value() + 1; + EXPECT_EQ(run_bound_failure(*req.state, 1, gained), "the re-solve gained value"); + DeletionResult slower = r; + ++slower.counters.dijkstra_runs; + EXPECT_EQ(run_bound_failure(*req.state, 1, slower), "more Dijkstra runs than m + 2 r"); +} + +// The same deletion through the probe, with the control that reruns repair 1's failed search +// instead of reusing it: three searches, failing the m + 2 r = 2 bound, with the same flow, +// potentials, phases and paths; the reuse skips exactly that search's work. +TEST(FlowCoreDeletion, RerunningTheFailedSearchAddsExactlyOneSearch) { #if NETGRAPH_CORE_PRIVATE_HOOKS + const Case c = make_case(2, {{0, 1, 1, 1}}, {0}, {1}); + const auto req = capture_of(c); + DeletionResolver rs(*req.state); std::vector fails; std::vector> reuse_updates; std::vector> rerun_updates; @@ -561,7 +1001,10 @@ TEST(FlowCoreDeletion, SoleEdgeTakesTwoSearches) { const auto b = observed(rs, *req.state, 0, fails, true, &rerun_updates); for (const auto& s : fails) ADD_FAILURE() << s; EXPECT_EQ(a.counters.dijkstra_runs, 2); - EXPECT_EQ(b.counters.dijkstra_runs, 3); // > m + 2 r = 2: the control fails the bound + EXPECT_EQ(b.counters.dijkstra_runs, 3); + // m + 2 r = 2: the bound check of check_deletion accepts the reuse and rejects the control. + EXPECT_EQ(run_bound_failure(*req.state, 1, a), ""); + EXPECT_EQ(run_bound_failure(*req.state, 1, b), "more Dijkstra runs than m + 2 r"); EXPECT_EQ(a.edge_flows, b.edge_flows); EXPECT_EQ(a.potentials, b.potentials); EXPECT_EQ(a.cut, b.cut); @@ -570,10 +1013,12 @@ TEST(FlowCoreDeletion, SoleEdgeTakesTwoSearches) { // The control's extra search: the counters between repair 1's last update and repair 2's // first (no Dinic work between them). ASSERT_EQ(rerun_updates.size(), reuse_updates.size() + 1); - std::size_t i = 0; - while (rerun_updates[i].first != 2) ++i; - const auto& before = rerun_updates[i - 1].second; - const auto& after = rerun_updates[i].second; + const auto first_of_2 = + std::find_if(rerun_updates.begin(), rerun_updates.end(), [](const auto& u) { return u.first == 2; }); + ASSERT_NE(first_of_2, rerun_updates.end()); + ASSERT_NE(first_of_2, rerun_updates.begin()); + const auto& before = std::prev(first_of_2)->second; + const auto& after = first_of_2->second; EXPECT_EQ(after.dinic_phases, before.dinic_phases); EXPECT_EQ(after.augmentations, before.augmentations); EXPECT_EQ(b.counters.dijkstra_runs - (after.dijkstra_runs - before.dijkstra_runs), a.counters.dijkstra_runs); @@ -581,6 +1026,8 @@ TEST(FlowCoreDeletion, SoleEdgeTakesTwoSearches) { EXPECT_EQ(b.counters.settled - (after.settled - before.settled), a.counters.settled); EXPECT_EQ(b.counters.arc_scans - (after.arc_scans - before.arc_scans), a.counters.arc_scans); EXPECT_GT(after.settled - before.settled, 0); +#else + GTEST_SKIP() << "needs the private hooks (NETGRAPH_CORE_PRIVATE_HOOKS)"; #endif } @@ -593,10 +1040,45 @@ TEST(FlowCoreDeletion, PartialRerouteThenBothRemainderPushes) { ASSERT_EQ(req.state->edge_flows()[static_cast(uv)], 2); const auto r = DeletionResolver(*req.state).resolve(uv); EXPECT_EQ(r.value, 1); // r = 1, m = 1 - EXPECT_TRUE(cost_of(*c.g, r.edge_flows) == 6); + EXPECT_TRUE(flow_cost(*c.g, r.edge_flows) == 6); EXPECT_LE(r.counters.dijkstra_runs, 1 + 2 * 1); } +// Every cost times a factor: each re-solve of the scaled graph passes the independent checks, and +// against the unscaled one its working potentials scale while its value, flows, cut and operation +// counters do not (every search meets the same keys in the same order). +TEST(FlowCoreDeletion, ScalingEveryCostScalesOnlyThePotentials) { + const std::vector edges = {{0, 1, 2, 1}, {1, 2, 2, 1}, {1, 3, 1, 2}, {3, 2, 1, 2}, {2, 4, 2, 1}, {0, 3, 1, 5}}; + const Case base = make_case(5, edges, {0}, {4}); + const auto base_req = capture_of(base); + int compared = 0; + for (Cost factor : {3, 1000003}) { + std::vector scaled_edges = edges; + for (auto& e : scaled_edges) e.cost *= factor; + const Case scaled = make_case(5, scaled_edges, {0}, {4}); + check_every_edge(scaled, "factor " + std::to_string(factor)); + const auto req = capture_of(scaled); + for (EdgeId e : base_req.state->network().edges) { + if (base_req.state->edge_flows()[static_cast(e)] == 0) continue; + const auto want = DeletionResolver(*base_req.state).resolve(e); + const auto got = DeletionResolver(*req.state).resolve(e); + const std::string where = "factor " + std::to_string(factor) + " edge " + std::to_string(e); + EXPECT_EQ(got.value, want.value) << where; + EXPECT_EQ(got.edge_flows, want.edge_flows) << where; + EXPECT_EQ(got.cut, want.cut) << where; + ASSERT_EQ(got.potentials.size(), want.potentials.size()) << where; + for (std::size_t v = 0; v < want.potentials.size(); ++v) { + EXPECT_TRUE(wide(got.potentials[v]) == wide(want.potentials[v]) * factor) << where << " vertex " << v; + } + EXPECT_TRUE(same_counters(got.counters, want.counters)) << where; + ++compared; + } + } + // Both units take 0 -> 1 -> 2 -> 4 (cost 3; 2 -> 4 caps the value at 2): three positive-flow + // edges, for each factor. + EXPECT_EQ(compared, 6); +} + // Total loss: a bridge carrying every unit. TEST(FlowCoreDeletion, TotalLoss) { const Case c = make_case(3, {{0, 1, 3, 1}, {1, 2, 2, 1}, {1, 2, 1, 3}}, {0}, {2}); @@ -620,6 +1102,7 @@ TEST(FlowCoreDeletion, ZeroFlowDeletions) { auto view = positive.view; view[static_cast(spare)] = 0; const auto fresh = place_global_units(*positive.g, view, positive.sources, positive.destinations, nullptr, std::nullopt); + ASSERT_TRUE(base.min_cut.has_value() && fresh.min_cut.has_value()); EXPECT_NE(*base.min_cut, *fresh.min_cut); const Case zero = make_case(2, {{0, 1, 0, 1}}, {0}, {1}); check_every_edge(zero, "zero view capacity"); @@ -629,7 +1112,7 @@ TEST(FlowCoreDeletion, ZeroFlowDeletions) { } // Parallel equal-cost ties: the re-solve's flow differs from the fresh solve's, its value, cost -// and cut do not (review-resolve/focused.py). +// and cut do not. TEST(FlowCoreDeletion, TiedFlowsDifferValueCostAndCutAgree) { const Case c = make_case(3, {{0, 1, 1, 2}, {0, 1, 2, 3}, {1, 2, 1, 1}, {1, 2, 1, 1}}, {0}, {2}); check_every_edge(c, "ties"); @@ -642,7 +1125,8 @@ TEST(FlowCoreDeletion, TiedFlowsDifferValueCostAndCutAgree) { EXPECT_EQ(r.edge_flows, (std::vector {1, 0, 0, 1})); EXPECT_EQ(fresh.edge_flows, (std::vector {1, 0, 1, 0})); EXPECT_EQ(r.value, 1); - EXPECT_TRUE(cost_of(*c.g, r.edge_flows) == 3); + EXPECT_TRUE(flow_cost(*c.g, r.edge_flows) == 3); + ASSERT_TRUE(fresh.min_cut.has_value()); EXPECT_EQ(r.cut, *fresh.min_cut); EXPECT_EQ(r.cut, (std::vector {0})); } @@ -654,32 +1138,39 @@ TEST(FlowCoreDeletion, EndpointsMasksAndUnreachedVertices) { {{0, 2, 2, 1}, {1, 2, 1, 2}, {2, 4, 2, 1}, {2, 5, 2, 3}, {1, 5, 1, 7}, {0, 4, 1, 9}, {4, 5, 1, 1}, {3, 6, 4, 1}, {6, 7, 4, 1}, {5, 2, 1, 1}}, {0, 1, 3}, {4, 5}); - check_every_edge(c, "endpoints"); + // Each configuration re-solves at least one deletion (its flow is positive). + int resolved = 0; + check_every_edge(c, "endpoints", &resolved); + EXPECT_GT(resolved, 0); c.elig = c.g->eligibility(std::vector {1}, std::vector {}); - check_every_edge(c, "masked source"); + resolved = 0; + check_every_edge(c, "masked source", &resolved); + EXPECT_GT(resolved, 0); c.elig = c.g->eligibility(std::vector {4}, std::vector {id_of_input(*c.g)[3]}); - check_every_edge(c, "masked destination and edge"); + resolved = 0; + check_every_edge(c, "masked destination and edge", &resolved); + EXPECT_GT(resolved, 0); } -// The near-domain cost witness of review-resolve/REPORT.md C2: H = 2^61 and a cost sum H + 11 +// A near-domain cost witness: H = 2^61 and a cost sum H + 11 // below 2^62; the working potentials exceed int64 after the deletion, vertex 4 is never // reached (the published sentinel, a numeric working potential). TEST(FlowCoreDeletion, NearDomainCostsNeedWideWorkingPotentials) { const Cost H = Cost {1} << 61; const Case c = make_case(5, {{0, 1, 3, 3}, {0, 2, 1, 3}, {1, 2, 2, H}, {2, 3, 1, 3}, {3, 1, 1, 2}}, {0}, {3}); - ASSERT_TRUE(cost_sum(*c.g) == static_cast<__int128>(H) + 11); + ASSERT_TRUE(cost_sum(*c.g) == static_cast(H) + 11); FlowCoreResult payload; const auto req = capture_of(c, &payload); const auto& st = *req.state; EXPECT_EQ(payload.potentials[4], kNeverReached); - const std::vector<__int128> base {0, 3, static_cast<__int128>(H) + 3, static_cast<__int128>(H) + 6, - static_cast<__int128>(H) + 6, 0, static_cast<__int128>(H) + 6}; + const std::vector base {0, 3, static_cast(H) + 3, static_cast(H) + 6, + static_cast(H) + 6, 0, static_cast(H) + 6}; for (std::size_t v = 0; v < base.size(); ++v) EXPECT_TRUE(wide(st.potentials()[v]) == base[v]) << v; const EdgeId e = id_of_input(*c.g)[3]; check_deletion(c, st, e, "near domain"); const auto r = DeletionResolver(st).resolve(e); - const __int128 h = H; - const std::vector<__int128> after {3 * h + 5, 2 * h + 8, 3 * h + 8, 2 * h + 6, 4 * h + 11, 3 * h + 5, 2 * h + 6}; + const Int128 h = H; + const std::vector after {3 * h + 5, 2 * h + 8, 3 * h + 8, 2 * h + 6, 4 * h + 11, 3 * h + 5, 2 * h + 6}; for (std::size_t v = 0; v < after.size(); ++v) EXPECT_TRUE(wide(r.potentials[v]) == after[v]) << v; EXPECT_TRUE(wide(r.potentials[4]) > std::numeric_limits::max()); } @@ -691,24 +1182,30 @@ TEST(FlowCoreDeletion, OnlyMaximumStatesAreAccepted) { c.cap = 1; const auto req = capture_of(c); ASSERT_FALSE(req.state->maximum()); - const DeletionState saved = *req.state; DeletionResolver rs(*req.state); const EdgeId cheap = id_of_input(*c.g)[0]; - EXPECT_THROW((void)rs.resolve(cheap), std::invalid_argument); - EXPECT_EQ(std::vector(saved.residual().begin(), saved.residual().end()), - std::vector(req.state->residual().begin(), req.state->residual().end())); + // Rejected before any repair (the resolver works on its own copy of the state). + EXPECT_EQ(error_of([&] { (void)rs.resolve(cheap); }), + "deletion re-solve: the state is not certified maximum (a residual path from the sources to the " + "destinations remains)"); for (std::optional cap : {std::optional {}, std::optional {4}}) { c.cap = cap; const auto ok = capture_of(c); ASSERT_TRUE(ok.state->maximum()); EXPECT_EQ(DeletionResolver(*ok.state).resolve(cheap).value, 3); } - // Not an edge of the view, no flow, an empty state. + // Not an edge of the view (excluded by the Eligibility), and an empty state (an edge of the + // view that carries no flow: check_every_edge). c.cap = std::nullopt; c.elig = c.g->eligibility(std::vector {}, std::vector {cheap}); const auto masked = capture_of(c); - EXPECT_THROW((void)DeletionResolver(*masked.state).resolve(cheap), std::invalid_argument); - EXPECT_THROW(DeletionResolver {DeletionState {}}, std::invalid_argument); + DeletionResolver reused(*masked.state); + EXPECT_EQ(error_of([&] { (void)reused.resolve(cheap); }), + "deletion re-solve: edge 0 is not in the solve's view"); + const EdgeId allowed = id_of_input(*c.g)[1]; + EXPECT_TRUE(same_result(reused.resolve(allowed), DeletionResolver(*masked.state).resolve(allowed))); + EXPECT_EQ(error_of([] { DeletionResolver {DeletionState {}}; }), + "deletion re-solve: an empty state (no solve captured it)"); } // ------------------------------------------------------------------ the saved state @@ -723,10 +1220,7 @@ TEST(FlowCoreDeletion, ASavedStateServesCandidatesIndependently) { const Case c = random_case(rng); const auto req = capture_of(c); const DeletionState& st = *req.state; - std::vector positive; - for (EdgeId e : st.network().edges) { - if (st.edge_flows()[static_cast(e)] > 0) positive.push_back(e); - } + const std::vector positive = positive_edges(st); if (positive.size() < 2) continue; ++checked; const std::vector res0(st.residual().begin(), st.residual().end()); @@ -736,17 +1230,11 @@ TEST(FlowCoreDeletion, ASavedStateServesCandidatesIndependently) { (void)place_global_units(*other.g, other.view, other.sources, other.destinations, other.el(), std::nullopt); const EdgeId A = positive.front(); const EdgeId B = positive.back(); - auto same = [](const DeletionResult& x, const DeletionResult& y) { - return x.value == y.value && x.potentials == y.potentials && x.cut == y.cut && x.edge_flows == y.edge_flows && - x.counters.dijkstra_runs == y.counters.dijkstra_runs && x.counters.dijkstra_pops == y.counters.dijkstra_pops && - x.counters.settled == y.counters.settled && x.counters.arc_scans == y.counters.arc_scans && - x.counters.dinic_phases == y.counters.dinic_phases && x.counters.augmentations == y.counters.augmentations; - }; DeletionResolver one(copy); const auto a1 = one.resolve(A); const auto b1 = one.resolve(B); const auto a2 = one.resolve(A); - EXPECT_TRUE(same(a1, a2)) << trial; + EXPECT_TRUE(same_result(a1, a2)) << trial; EXPECT_EQ(b1.value, DeletionResolver(st).resolve(B).value) << trial; for (int threads : {2, 4}) { std::vector resolvers; @@ -764,7 +1252,8 @@ TEST(FlowCoreDeletion, ASavedStateServesCandidatesIndependently) { } for (auto& th : pool) th.join(); for (const auto& out : got) { - EXPECT_TRUE(same(out[0], a1) && same(out[2], a1) && same(out[1], b1)) << trial << " threads " << threads; + EXPECT_TRUE(same_result(out[0], a1) && same_result(out[2], a1) && same_result(out[1], b1)) + << trial << " threads " << threads; } } EXPECT_EQ(std::vector(st.residual().begin(), st.residual().end()), res0) << trial; @@ -775,23 +1264,128 @@ TEST(FlowCoreDeletion, ASavedStateServesCandidatesIndependently) { EXPECT_EQ(checked, 20); } -// ------------------------------------------------------------------ sensitivity - namespace { -FlowPolicyConfig global_config() { - return FlowPolicyConfig {Global {}, FlowPlacement::MaxFlow, Admission::Lossless, - PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)}; +// Whether a re-solve of e agrees with a solve from zero on the view without e: the value, the +// cost and the minimum cut (independent of the resolver). +bool matches_fresh_solve(const Case& c, EdgeId e, const DeletionResult& r) { + auto view = c.view; + view[static_cast(e)] = 0; + const auto fresh = place_global_units(*c.g, view, c.sources, c.destinations, c.el(), std::nullopt); + return r.value == fresh.placed && flow_cost(*c.g, r.edge_flows) == flow_cost(*c.g, fresh.edge_flows) && + fresh.min_cut.has_value() && r.cut == *fresh.min_cut; } } // namespace +// A resolver reads its state's network in place, so the network must live as +// long as the resolver by the resolver's own copy of the state. Built from a copy that then goes +// away with the capture request, moved by construction, by the reallocations of a growing vector +// and by an assignment over a resolver of another state (which drops that resolver's share of the +// other network; the network goes with the last of grow's resolvers), and after a solve of another +// network on the same thread, it serves every candidate twice, in reverse and in order, exactly as +// a resolver that never moved, whose results agree with solves from zero. AddressSanitizer +// reports a read of a released network. +TEST(FlowCoreDeletion, AResolverKeepsItsNetworkAliveAcrossMoves) { + std::mt19937_64 rng(31); + int checked = 0; + for (int trial = 0; trial < 400 && checked < 20; ++trial) { + const Case c = random_case(rng); + std::vector positive; + std::vector want; + std::optional kept; + { + auto req = capture_of(c); + ASSERT_TRUE(req.state->maximum()) << "trial " << trial; // random_case sets no cap + positive = positive_edges(*req.state); + if (positive.empty()) continue; + { + DeletionResolver still(*req.state); + for (EdgeId e : positive) want.push_back(still.resolve(e)); + } + for (std::size_t i = 0; i < positive.size(); ++i) { + EXPECT_TRUE(matches_fresh_solve(c, positive[i], want[i])) << "trial " << trial << " edge " << positive[i]; + } + auto copy = std::make_unique(*req.state); + req.state = std::nullopt; + kept.emplace(*copy); + } // the copy and the request are gone: the resolver's state is the network's only owner + ++checked; + const Case other = random_case(rng); + auto other_req = capture_of(other); // rebuilds this thread's solver for another network + std::vector grow; + grow.emplace_back(std::move(*kept)); + kept = std::nullopt; + for (int i = 0; i < 6; ++i) grow.emplace_back(*other_req.state); // reallocations move grow[0] + DeletionResolver target(*other_req.state); + other_req.state = std::nullopt; + target = std::move(grow.front()); + grow.clear(); // the other network's last owners go + for (std::size_t i = positive.size(); i-- > 0;) { + EXPECT_TRUE(same_result(target.resolve(positive[i]), want[i])) << "trial " << trial << " edge " << positive[i]; + } + for (std::size_t i = 0; i < positive.size(); ++i) { + EXPECT_TRUE(same_result(target.resolve(positive[i]), want[i])) << "trial " << trial << " edge " << positive[i]; + } + } + EXPECT_EQ(checked, 20); +} + +// Resolvers of one state on 1, 2 and 4 threads read the one network the state +// copies share and never write it; each keeps its own residual, potentials and scratch. Each +// thread runs every candidate in its own rotation of the order, twice; every result equals the +// single-thread one (which agrees with a solve from zero), and the network equals its deep copy +// taken before, field by field. +// ThreadSanitizer checks the concurrent reads. +TEST(FlowCoreDeletion, WorkersReadOneNetworkAndNeverWriteIt) { + std::mt19937_64 rng(37); + int checked = 0; + for (int trial = 0; trial < 400 && checked < 15; ++trial) { + const Case c = random_case(rng); + const auto req = capture_of(c); + const DeletionState& st = *req.state; + ASSERT_TRUE(st.maximum()) << "trial " << trial; // random_case sets no cap + const auto positive = positive_edges(st); + if (positive.size() < 2) continue; + ++checked; + const Network before = st.network(); + std::vector want; + for (EdgeId e : positive) { + want.push_back(DeletionResolver(st).resolve(e)); + EXPECT_TRUE(matches_fresh_solve(c, e, want.back())) << trial << " edge " << e; + } + for (int threads : {1, 2, 4}) { + std::vector resolvers; + for (int t = 0; t < threads; ++t) resolvers.emplace_back(st); + std::vector wrong(static_cast(threads), 0); + std::vector pool; + for (int t = 0; t < threads; ++t) { + pool.emplace_back([&, t] { + auto& rs = resolvers[static_cast(t)]; + for (int round = 0; round < 2; ++round) { + for (std::size_t j = 0; j < positive.size(); ++j) { + const std::size_t i = (j + static_cast(t)) % positive.size(); + if (!same_result(rs.resolve(positive[i]), want[i])) ++wrong[static_cast(t)]; + } + } + }); + } + for (auto& th : pool) th.join(); + for (int t = 0; t < threads; ++t) EXPECT_EQ(wrong[static_cast(t)], 0) << trial << " thread " << t; + EXPECT_TRUE(same_network(st.network(), before)) << trial << " threads " << threads; + } + } + EXPECT_EQ(checked, 15); +} + +// ------------------------------------------------------------------ sensitivity + // The exact model's loss is placed minus capacity() with the edge excluded, for every // candidate (the baseline's positive-flow edges), on 1, 2 and 4 workers; zero-flow edges are -// not candidates. +// not candidates. Both maxima also equal the independent Bellman-Ford curve's. TEST(Sensitivity, GlobalLossesEqualCapacityWithTheEdgeExcluded) { std::mt19937_64 rng(41); - int entries = 0; + int entries = 0, masked = 0, several = 0, scaled = 0, rerouted = 0, partial = 0, cut = 0; for (int trial = 0; trial < 300; ++trial) { const Case c = random_case(rng); const SensitivityOptions opts {global_config(), c.el()}; @@ -799,6 +1393,8 @@ TEST(Sensitivity, GlobalLossesEqualCapacityWithTheEdgeExcluded) { OutputOptions {true, false, false}}); const auto s1 = sensitivity(*c.g, c.sources, c.destinations, opts, 1); EXPECT_EQ(s1.baseline.placed, base.placed) << trial; + const std::vector caps(c.g->capacity_units().begin(), c.g->capacity_units().end()); + EXPECT_EQ(base.placed, independent_curve(*c.g, caps, c.sources, c.destinations, c.el()).back().first) << trial; std::vector want; for (EdgeId e = 0; e < c.g->num_edges(); ++e) { if ((*base.edge_flows)[static_cast(e)] > 0) want.push_back(e); @@ -807,13 +1403,23 @@ TEST(Sensitivity, GlobalLossesEqualCapacityWithTheEdgeExcluded) { for (std::size_t i = 0; i < want.size(); ++i) { const auto& entry = s1.entries[i]; EXPECT_EQ(entry.edge, want[i]) << trial; - EXPECT_EQ(entry.status, SensitivityStatus::Evaluated) << trial; const EdgeId one[1] = {entry.edge}; Eligibility without = c.g->eligibility({}, one); if (c.elig) without = Eligibility::intersect(*c.elig, without); const auto fresh = capacity(*c.g, c.sources, c.destinations, CapacityOptions {global_config(), &without}); EXPECT_EQ(entry.loss, base.placed - fresh.placed) << trial << " edge " << entry.edge; + auto without_view = caps; + without_view[static_cast(entry.edge)] = 0; + EXPECT_EQ(fresh.placed, independent_curve(*c.g, without_view, c.sources, c.destinations, c.el()).back().first) + << trial << " edge " << entry.edge; ++entries; + const Amount flow = (*base.edge_flows)[static_cast(entry.edge)]; + masked += c.elig.has_value() && c.elig->uid() != 0 ? 1 : 0; + several += c.sources.size() > 1 || c.destinations.size() > 1 ? 1 : 0; + scaled += c.g->max_cost() > 1000000 ? 1 : 0; + rerouted += entry.loss == 0 ? 1 : 0; + partial += entry.loss > 0 && entry.loss < flow ? 1 : 0; + cut += entry.loss == flow ? 1 : 0; } for (std::int32_t workers : {2, 4}) { const auto sw = sensitivity(*c.g, c.sources, c.destinations, opts, workers); @@ -825,6 +1431,12 @@ TEST(Sensitivity, GlobalLossesEqualCapacityWithTheEdgeExcluded) { } } EXPECT_GT(entries, 300); + EXPECT_GT(masked, 20); + EXPECT_GT(several, 70); + EXPECT_GT(scaled, 10); + EXPECT_GT(rerouted, 10); + EXPECT_GT(partial, 1); + EXPECT_GT(cut, 100); } // OutputOptions controls only the published baseline: every combination captures the same state @@ -846,7 +1458,13 @@ TEST(Sensitivity, GlobalBaselineKeepsEveryOutputsCombination) { EXPECT_EQ(s.baseline.residual, cap.residual) << bits; EXPECT_EQ(s.baseline.bottleneck, cap.bottleneck) << bits; EXPECT_EQ(s.baseline.min_cut, cap.min_cut) << bits; + // Each requested output is present, each other one absent; Global's curve always, and its + // min_cut with bottleneck (the uncapped baseline is maximal). EXPECT_EQ(s.baseline.edge_flows.has_value(), outputs.edge_flows) << bits; + EXPECT_EQ(s.baseline.residual.has_value(), outputs.residual) << bits; + EXPECT_EQ(s.baseline.bottleneck.has_value(), outputs.bottleneck) << bits; + EXPECT_EQ(s.baseline.min_cut.has_value(), outputs.bottleneck) << bits; + EXPECT_TRUE(s.baseline.cost_distribution.has_value()) << bits; ASSERT_EQ(s.entries.size(), reference.entries.size()) << bits; for (std::size_t i = 0; i < s.entries.size(); ++i) { EXPECT_EQ(s.entries[i].edge, reference.entries[i].edge) << bits; diff --git a/tests/cpp/flow_core_tests.cpp b/tests/cpp/flow_core_tests.cpp index b9177c2..c35b306 100644 --- a/tests/cpp/flow_core_tests.cpp +++ b/tests/cpp/flow_core_tests.cpp @@ -1,15 +1,15 @@ -// The flow core of APPROACH 2.2 through place_global_units: a first solve on a fresh graph, the -// review witnesses (expected -// values derived by hand and from prototype 1, `prototypes/p1_amount/flowcore.py`), the -// certificate in its two branches, input validation, determinism, and randomized graphs -// certified against an exhaustive optimum (tier a) and an independent solver (tier b). +// The integer minimum-cost flow core through place_global_units: a first solve on a fresh graph, +// the witness graphs (hand-built examples; expected values derived by hand and from the reference flow core, +// tests/reference/policy/p1_amount/flowcore.py), the certificate in its two branches, input +// validation, determinism, and randomized graphs certified against an exhaustive optimum (tier a) +// and an independent solver (tier b), which is itself checked against the exhaustive optimum. #include #include #include +#include #include #include -#include #include #include @@ -23,11 +23,12 @@ namespace { constexpr Amount kL62m1 = (Amount{1} << 62) - 1; -// The counters fixed by the normative per-tier order and the augmenting-path sequence, compared -// with prototype 1: dijkstra_runs, dijkstra_pops, settled, dinic_phases, augmentations. arc_scans +// The counters fixed by the per-tier order and the augmenting-path sequence, compared +// with the reference flow core (tests/reference/policy/p1_amount/flowcore.py): dijkstra_runs, +// dijkstra_pops, settled, dinic_phases, augmentations. arc_scans // is the implementation's own diagnostic (the level search here first marks the vertices that // reach t* and stops at t*'s level, so it examines a different number of arcs than the -// prototype's full BFS); it is checked for determinism and presence only. +// reference's full BFS); it is checked for determinism and presence only. using Counters = std::vector; Counters counters_of(const FlowCoreResult& r) { const auto& c = r.counters; @@ -49,15 +50,6 @@ void expect_certified(const Graph& g, const std::vector& s, const std::v EXPECT_TRUE(fails.empty()) << (fails.empty() ? "" : fails.front()); } -std::string error_of(const std::function& fn) { - try { - fn(); - } catch (const std::invalid_argument& e) { - return e.what(); - } - return ""; -} - } // namespace TEST(FlowCore, ConstructAndSolve) { @@ -70,10 +62,11 @@ TEST(FlowCore, ConstructAndSolve) { ASSERT_EQ(r.cost_distribution.size(), 2u); EXPECT_EQ(r.cost_distribution[0], (std::pair {30, 10})); // 0 -> 1 -> 2 first EXPECT_EQ(r.cost_distribution[1], (std::pair {100, 10})); // then the direct edge + expect_certified(g, {0}, {2}, std::nullopt, r); } TEST(FlowCore, QuantisedCapacitiesFamily) { - // Physical 2.5q is 3 units and 0.5q is 1 unit (review-2 R1 at 1a: the quantised network). + // Physical 2.5q is 3 units and 0.5q is 1 unit (the quantised network). const double q = std::ldexp(1.0, -12); const Amount a = to_units(2.5 * q, q); const Amount b = to_units(0.5 * q, q); @@ -91,13 +84,13 @@ TEST(FlowCore, QuantisedCapacitiesFamily) { } TEST(FlowCore, ChainPlusBypassesCancellation) { - // review-14 flow.chain, review-1 C7: value 2 needs the middle edge cancelled. + // A chain with bypasses: value 2 needs the middle edge cancelled. auto g = make_graph(4, chain_plus_bypasses()); auto one = solve(g, {0}, {3}, 1); EXPECT_EQ(one.placed, 1); EXPECT_EQ(one.cost_distribution, curve({{3, 1}})); EXPECT_EQ(to_input(g, one.edge_flows), (std::vector{1, 1, 1, 0, 0})); - EXPECT_FALSE(one.min_cut.has_value()); // review-14 flow.finite_cap: value 1 of a maximum 2 + EXPECT_FALSE(one.min_cut.has_value()); // value 1 of a maximum 2: no cut EXPECT_EQ(counters_of(one), (Counters{1, 8, 6, 1, 1})); expect_certified(g, {0}, {3}, 1, one); auto two = solve(g, {0}, {3}, 2); @@ -165,7 +158,7 @@ TEST(FlowCore, ChainPlusBypassesMasksAndCostFactors) { } TEST(FlowCore, EqualCostTierNeedsTwoDinicPhases) { - // review-14 flow.equal_cost_multiple_hop_tiers, review-16 solver.multiple_dinic_phases: + // Equal-cost walks of several hop counts in one tier: // C = {0: 0, 1: 3, 2: 6} in one tier of cost 3 drained by two successful level builds (plus the // tier's last unsuccessful one). auto g = make_graph(4, {{0, 3, 1, 3}, {0, 1, 1, 1}, {1, 2, 1, 1}, {2, 3, 1, 1}}); @@ -179,7 +172,7 @@ TEST(FlowCore, EqualCostTierNeedsTwoDinicPhases) { } TEST(FlowCore, CyclicAdmissibleNeedsUpdateBeforeDrain) { - // review-16 solver.cyclic_admissible: two parallel cost-1 links. Potentials are updated by + // Two parallel cost-1 links. Potentials are updated by // the first Dijkstra before the drain (on the zero potentials no arc has reduced cost 0), and // the zero-reduced-cost residual cycle 0 -> 1 -> 0 left after the first push is drained in // the same tier. @@ -189,7 +182,7 @@ TEST(FlowCore, CyclicAdmissibleNeedsUpdateBeforeDrain) { EXPECT_EQ(r.cost_distribution, curve({{1, 2}})); EXPECT_EQ(counters_of(r), (Counters{1, 4, 4, 1, 2})); expect_certified(g, {0}, {1}, 2, r); - // review-17 partial_drain: cap 1 stops inside the tier; the destinations stay connected. + // A partial drain: cap 1 stops inside the tier; the destinations stay connected. auto p = solve(g, {0}, {1}, 1); EXPECT_EQ(p.placed, 1); EXPECT_EQ(p.cost_distribution, curve({{1, 1}})); @@ -199,7 +192,7 @@ TEST(FlowCore, CyclicAdmissibleNeedsUpdateBeforeDrain) { } TEST(FlowCore, FailedFinalRunRaisesPotentials) { - // review-17 failed_final_run: the side branch 3 is reached at 8 by the first run and at 10 by + // A failed final run: the side branch 3 is reached at 8 by the first run and at 10 by // the failed final run; dual feasibility is claimed inside the closure {0, 3} only. auto g = make_graph(4, {{0, 1, 1, 1}, {1, 2, 1, 1}, {1, 3, 1, 7}, {0, 3, 1, 10}}); auto r = solve(g, {0}, {2}, std::nullopt); @@ -213,8 +206,8 @@ TEST(FlowCore, FailedFinalRunRaisesPotentials) { } TEST(FlowCore, FreshSolveUsesReleasedCheapEdge) { - // review-14 flow.release_no_growth, review-15 fresh.owner_release_atomic: on the view W + own - // = [1, 1, 1] the solve at value 1 takes the cheap link (cost 2), not the old cost-4 one. + // A solve on the view [1, 1, 1] (as a re-placement sees it: the residual plus the owner's own + // allocation) at value 1 takes the cheap link (path cost 2), not the cost-3 link (path cost 4). auto g = make_graph(3, {{0, 1, 1, 1}, {0, 1, 2, 3}, {1, 2, 2, 1}}); const std::vector view = to_ids(g, std::vector{1, 1, 1}); auto r = solve(g, {0}, {2}, 1, &view); @@ -228,7 +221,7 @@ TEST(FlowCore, FreshSolveUsesReleasedCheapEdge) { } TEST(FlowCore, AttainedValueUnderCapAndInfinity) { - // review-15 C1 and review-16 certificate.internal_cap on one edge of capacity 3 and cost 7. + // The attained value under a cap, without one and at the internal cap, on one edge of capacity 3 and cost 7. auto g = make_graph(2, {{0, 1, 3, 7}}); auto c2 = solve(g, {0}, {1}, 2); EXPECT_EQ(c2.placed, 2); @@ -240,19 +233,20 @@ TEST(FlowCore, AttainedValueUnderCapAndInfinity) { ASSERT_TRUE(c3.min_cut.has_value()); EXPECT_EQ(*c3.min_cut, (std::vector{0})); EXPECT_EQ(counters_of(c3), (Counters{1, 4, 4, 1, 1})); // the cap stops before a failed run + expect_certified(g, {0}, {1}, 3, c3); auto inf = solve(g, {0}, {1}, std::nullopt); EXPECT_EQ(inf.placed, 3); EXPECT_EQ(inf.cost_distribution, curve({{7, 3}})); EXPECT_EQ(counters_of(inf), (Counters{2, 6, 6, 2, 1})); expect_certified(g, {0}, {1}, std::nullopt, inf); - // The internal cap 2^63 - 2: the solve runs to disconnection (no clamp, APPROACH 2.2 r25). + // The internal cap 2^63 - 2: the solve runs to disconnection (no clamp). auto big = solve(g, {0}, {1}, kMaxFlowCap); EXPECT_TRUE(same_payload(big, inf)); expect_certified(g, {0}, {1}, kMaxFlowCap, big); } TEST(FlowCore, ZeroCapIsThePrescribedZeroPayload) { - // review-16 certificate.zero_cap, review-17 C2.zero_cap_branch. + // A zero cap: no flow, no cut, every potential the never-reached sentinel, no work counted. auto g = make_graph(4, {{0, 1, 2, 1}, {1, 2, 2, 2}, {3, 2, 1, 1}}); auto r = solve(g, {0}, {2}, 0); EXPECT_EQ(r.placed, 0); @@ -265,7 +259,7 @@ TEST(FlowCore, ZeroCapIsThePrescribedZeroPayload) { } TEST(FlowCore, PositiveCapOnZeroView) { - // review-17 C2.positive_cap_no_out_capacity: a positive cap runs one failed Dijkstra even when + // A positive cap runs one failed Dijkstra even when // the view gives the sources no out-capacity; roots at 0, min_cut []. auto g = make_graph(3, {{0, 1, 5, 1}, {1, 2, 5, 1}}); const std::vector view = to_ids(g, std::vector{0, 5}); @@ -284,10 +278,11 @@ TEST(FlowCore, PositiveCapOnZeroView) { ASSERT_TRUE(z.min_cut.has_value()); EXPECT_TRUE(z.min_cut->empty()); EXPECT_EQ(z.potentials[0], 0); + expect_certified(g, {0}, {2}, 1, z, &zeros); } TEST(FlowCore, LegalMaximumUnits) { - // review-17 terminal_saturation: one edge at 2^62 - 1 units; the closure is seeded at the real + // Terminal saturation: one edge at 2^62 - 1 units; the closure is seeded at the real // sources, so the cut holds the real edge (virtual arcs never saturate). auto g = make_graph(2, {{0, 1, kL62m1, 1}}); auto r = solve(g, {0}, {1}, std::nullopt); @@ -310,7 +305,7 @@ TEST(FlowCore, LegalMaximumUnits) { } TEST(FlowCore, EndpointSetsAndVirtualTerminals) { - // review-17 C2.reverse_virtual and review-16 global.all_destinations: both destinations have + // Several destinations through the virtual terminal: both destinations have // inflow, so both carry pi(t*) = 2. auto g = make_graph(3, {{0, 1, 1, 1}, {0, 2, 1, 2}}); auto r = solve(g, {0}, {1, 2}, std::nullopt); @@ -330,7 +325,7 @@ TEST(FlowCore, EndpointSetsAndVirtualTerminals) { } TEST(FlowCore, ClosureAndSentinels) { - // review-14 flow.cut: the closure follows reverse arcs, so the forward-only boundary is wrong. + // The cut: the closure follows reverse arcs, so the forward-only boundary is wrong. auto g = make_graph(5, {{0, 1, 1, 1}, {0, 2, 1, 1}, {1, 3, 1, 1}, {2, 3, 1, 1}, {3, 4, 1, 1}}); auto r = solve(g, {0}, {4}, std::nullopt); EXPECT_EQ(r.placed, 1); @@ -367,7 +362,7 @@ TEST(FlowCore, ExcludedEndpointsAreSkipped) { expect_certified(g, {0, 1}, {2}, std::nullopt, rs, nullptr, &no_source); } -TEST(FlowCore, Review13MasksEqualTheirCuts) { +TEST(FlowCore, MaskedSolvesReachTheValueOfTheirCuts) { // Sources {0, 1}, destinations {3, 4} under three Eligibilities. auto g = make_graph(5, {{0, 2, 2, 2}, {1, 2, 1, 1}, {2, 3, 2, 3}, {2, 4, 1, 5}}); const auto inv = id_of_input(g); @@ -390,29 +385,90 @@ TEST(FlowCore, InputValidationBeforeAnyWork) { const Eligibility* el = nullptr) { return error_of([&] { (void)place_global_units(g, v, src, dst, el, cap); }); }; - EXPECT_NE(call({2}, s, d, 1).find("view has length 1, expected 2"), std::string::npos); - EXPECT_NE(call({2, 3}, s, d, 1).find("capacity_units"), std::string::npos); - EXPECT_NE(call({-1, 2}, s, d, 1).find("outside"), std::string::npos); - EXPECT_NE(call(view, {}, d, 1).find("sources: the node set is empty"), std::string::npos); - EXPECT_NE(call(view, s, {}, 1).find("destinations: the node set is empty"), std::string::npos); - EXPECT_NE(call(view, {3}, d, 1).find("out of node range"), std::string::npos); - EXPECT_NE(call(view, s, {-1}, 1).find("out of node range"), std::string::npos); - EXPECT_NE(call(view, {0, 2}, {2}, 1).find("both endpoint sets"), std::string::npos); - EXPECT_NE(call(view, s, d, -1).find("cap"), std::string::npos); - EXPECT_NE(call(view, s, d, kMaxFlowCap + 1).find("cap"), std::string::npos); + EXPECT_EQ(call({2}, s, d, 1), "view has length 1, expected 2 (one entry per edge)"); + EXPECT_EQ(call({2, 3}, s, d, 1), "view[1] = 3 is outside [0, capacity_units[1] = 2]"); + EXPECT_EQ(call({-1, 2}, s, d, 1), "view[0] = -1 is outside [0, capacity_units[0] = 2]"); + EXPECT_EQ(call(view, {}, d, 1), "sources: the node set is empty"); + EXPECT_EQ(call(view, s, {}, 1), "destinations: the node set is empty"); + EXPECT_EQ(call(view, {3}, d, 1), "sources: node 3 out of node range [0, 3)"); + EXPECT_EQ(call(view, s, {-1}, 1), "destinations: node -1 out of node range [0, 3)"); + EXPECT_EQ(call(view, {0, 2}, {2}, 1), "node 2 is in both endpoint sets: sources and destinations must not overlap"); + EXPECT_EQ(call(view, s, d, -1), "cap -1 is outside [0, 2^63 - 2]"); + EXPECT_EQ(call(view, s, d, kMaxFlowCap + 1), "cap 9223372036854775807 is outside [0, 2^63 - 2]"); auto foreign = h.eligibility(); - EXPECT_NE(call(view, s, d, 1, &foreign).find("foreign Eligibility"), std::string::npos); + EXPECT_EQ(call(view, s, d, 1, &foreign), "foreign Eligibility: built for another graph"); // The overlap is checked on the full sets, also when an Eligibility excludes the vertex. const std::vector x0 = {0}; auto el = g.eligibility(x0, {}); - EXPECT_NE(call(view, {0}, {0}, 1, &el).find("both endpoint sets"), std::string::npos); - // Order: the view before the endpoints, the endpoints before the cap. - EXPECT_NE(call({2}, {}, d, -1).find("view"), std::string::npos); - EXPECT_NE(call(view, {}, d, -1).find("sources"), std::string::npos); + EXPECT_EQ(call(view, {0}, {0}, 1, &el), "node 0 is in both endpoint sets: sources and destinations must not overlap"); + // Order: the view before the endpoints, the sources before the destinations, the destinations + // before the overlap, the overlap before the cap, the cap before the Eligibility. + EXPECT_EQ(call({2}, {}, d, -1), "view has length 1, expected 2 (one entry per edge)"); + EXPECT_EQ(call(view, {}, d, -1), "sources: the node set is empty"); + EXPECT_EQ(call(view, {}, {}, -1, &foreign), "sources: the node set is empty"); + EXPECT_EQ(call(view, {0, 2}, {2, 9}, -1, &foreign), "destinations: node 9 out of node range [0, 3)"); + EXPECT_EQ(call(view, {0, 2}, {2}, -1, &foreign), + "node 2 is in both endpoint sets: sources and destinations must not overlap"); + EXPECT_EQ(call(view, s, d, -1, &foreign), "cap -1 is outside [0, 2^63 - 2]"); +} + +// A view with several defects at once (one error, from the shared edge-amount check, labelled "view"): +// its length before any entry, then its first entry outside [0, capacity] in EdgeId order, before +// the endpoints, the cap and the Eligibility. +TEST(FlowCore, ViewDefectsReportTheFirstInOrder) { + const auto g = edge_amount_graph(); + const auto other = make_graph(4, {{0, 1, 2, 1}}); + const auto foreign = other.eligibility(); + for (const auto& c : edge_amount_defects()) { + EXPECT_EQ(error_of([&] { (void)place_global_units(g, c.amounts, {}, {}, &foreign, -1); }), "view" + c.error); + } + const auto bounds = edge_amounts_at_the_bounds(); + EXPECT_EQ(place_global_units(g, bounds, v({0}), v({3}), nullptr, std::nullopt).placed, 0); +} + +// A solve numbers its network in int32: the N real vertices plus s* and t*, and two arc slots per +// edge, per source and per destination. Every solver takes its vertex count from +// network_vertices(), called here with the counts alone, so no network of the boundary sizes is +// allocated. +TEST(FlowCore, NetworkSizeLimits) { + constexpr std::int32_t kMax = std::numeric_limits::max(); + constexpr std::size_t kPairs = (std::size_t {1} << 30) - 1; // twice it, 2^31 - 2, fits int32; 2^31 does not + constexpr std::size_t kHuge = std::numeric_limits::max(); + const std::string nodes = + "flow core: the number of nodes exceeds INT32_MAX - 2 (a solve adds a virtual source and sink)"; + const std::string slots = + "flow core: the edges, sources and destinations of a solve number more than 2^30 - 1 together (each takes " + "two int32 arc slots)"; + auto error = [](std::int32_t n, std::size_t e, std::size_t s, std::size_t d) { + return error_of([&] { (void)detail::network_vertices(n, e, s, d); }); + }; + // The vertices: N + 2, up to N = INT32_MAX - 2. + EXPECT_EQ(detail::network_vertices(0, 0, 0, 0), 2); + EXPECT_EQ(detail::network_vertices(kMax - 2, 0, 1, 1), kMax); + EXPECT_EQ(error(kMax - 1, 0, 1, 1), nodes); + EXPECT_EQ(error(kMax, 0, 1, 1), nodes); + // The slots: edges + sources + destinations up to 2^30 - 1, every term counted. + EXPECT_EQ(detail::network_vertices(2, kPairs - 2, 1, 1), 4); + EXPECT_EQ(error(2, kPairs - 1, 1, 1), slots); + EXPECT_EQ(error(2, kPairs - 1, 2, 0), slots); + EXPECT_EQ(error(2, kPairs - 1, 0, 2), slots); + EXPECT_EQ(detail::network_vertices(2, kPairs, 0, 0), 4); + EXPECT_EQ(detail::network_vertices(2, 0, kPairs, 0), 4); + EXPECT_EQ(detail::network_vertices(2, 0, 0, kPairs), 4); + EXPECT_EQ(error(2, kPairs + 1, 0, 0), slots); + EXPECT_EQ(error(2, 0, kPairs + 1, 0), slots); + EXPECT_EQ(error(2, 0, 0, kPairs + 1), slots); + // Counts whose plain sum would wrap around are refused, not wrapped into range. + EXPECT_EQ(error(2, kHuge, 2, 0), slots); + EXPECT_EQ(error(2, 0, kHuge, 2), slots); + EXPECT_EQ(error(2, 2, 0, kHuge), slots); + // The node limit is reported first. + EXPECT_EQ(error(kMax, kPairs + 1, 0, 0), nodes); } TEST(FlowCore, IdenticalCallsIdenticalPayloads) { std::mt19937 rng(7); + int positive = 0; for (int trial = 0; trial < 20; ++trial) { std::vector edges; for (int e = 0; e < 40; ++e) { @@ -423,7 +479,9 @@ TEST(FlowCore, IdenticalCallsIdenticalPayloads) { auto a = solve(g, {0, 1}, {10, 11}, std::nullopt); auto b = solve(g, {0, 1}, {10, 11}, std::nullopt); EXPECT_TRUE(same_payload(a, b)); + positive += a.placed > 0; } + EXPECT_GT(positive, 10); // two empty payloads would be identical too } namespace { @@ -470,6 +528,25 @@ RandomCase random_case(std::mt19937& rng, int n, int m, Amount max_cap, Cost max return {std::move(g), s, d, view, cap, xn, xe}; } +// The kinds of random trials that reach a certificate branch only by chance, counted so a +// population that stopped drawing them fails: masked (an Eligibility), stopped by a positive cap +// below the maximum (no min_cut: the destinations stay connected) and capped at zero. +struct Population { + int masked = 0; + int capped = 0; + int zero_cap = 0; + void count(const RandomCase& c, const Eligibility* elig, const FlowCoreResult& r) { + masked += elig != nullptr ? 1 : 0; + capped += c.cap.has_value() && *c.cap > 0 && !r.min_cut.has_value() ? 1 : 0; + zero_cap += c.cap == Amount {0} ? 1 : 0; + } + void expect_at_least(int m, int c, int z) const { + EXPECT_GE(masked, m); + EXPECT_GE(capped, c); + EXPECT_GE(zero_cap, z); + } +}; + } // namespace TEST(FlowCore, RandomGraphsTierAExhaustive) { @@ -477,6 +554,7 @@ TEST(FlowCore, RandomGraphsTierAExhaustive) { // every payload certified, the curve against the minimum cost of every integer value. std::mt19937 rng(20261004); int positive = 0; + Population kinds; for (int trial = 0; trial < 2000; ++trial) { const int n = 2 + static_cast(rng() % 4); const int m = 1 + static_cast(rng() % 6); @@ -488,13 +566,18 @@ TEST(FlowCore, RandomGraphsTierAExhaustive) { const auto fails = certify(c.g, c.view, c.s, c.d, c.cap, elp, r, true); ASSERT_TRUE(fails.empty()) << "trial " << trial << ": " << fails.front(); positive += r.placed > 0; + kinds.count(c, elp, r); } EXPECT_GT(positive, 250); // the population is not vacuous + // 859, 68 and 443 at this seed with libc++: random_case's std::shuffle differs between standard + // libraries, so the floors stay well below the counts. + kinds.expect_at_least(400, 30, 200); } TEST(FlowCore, RandomGraphsTierBIndependent) { std::mt19937 rng(1816); int multi_tier = 0; + Population kinds; for (int trial = 0; trial < 150; ++trial) { const int n = 6 + static_cast(rng() % 20); const int m = n + static_cast(rng() % (4 * n)); @@ -506,13 +589,51 @@ TEST(FlowCore, RandomGraphsTierBIndependent) { const auto fails = certify(c.g, c.view, c.s, c.d, c.cap, elp, r, false); ASSERT_TRUE(fails.empty()) << "trial " << trial << ": " << fails.front(); multi_tier += r.cost_distribution.size() > 1; + kinds.count(c, elp, r); } EXPECT_GT(multi_tier, 30); + kinds.expect_at_least(30, 15, 10); // 64, 35 and 23 at this seed with libc++ (as above) +} + +// The independent solver is tier b's only optimum (and the deletion and Global tests'), so it is +// itself checked against the exhaustive optimum: on small random graphs with partial views, +// endpoint sets and masks, its curve has the same maximum and equals the minimum cost of every +// integer value, many of them after two augmentations or more. +TEST(FlowCore, IndependentSolverEqualsTheExhaustiveOptimum) { + // The chain with bypasses needs a cancellation: the second unit reroutes the first. + const auto chain = make_graph(4, chain_plus_bypasses()); + const std::vector unit(5, 1); + EXPECT_EQ(independent_curve(chain, unit, {0}, {3}, nullptr), + (std::vector> {{0, 0}, {1, 3}, {2, 8}})); + EXPECT_EQ(exhaustive_costs(chain, unit, {0}, {3}, nullptr), (std::map {{0, 0}, {1, 3}, {2, 8}})); + std::mt19937 rng(2028); + int several = 0; + int masked = 0; + for (int trial = 0; trial < 1000; ++trial) { + const int n = 3 + static_cast(rng() % 3); + const int m = 4 + static_cast(rng() % 5); + const auto c = random_case(rng, n, m, 2, 5, true); + std::optional el; + if (!c.xn.empty() || !c.xe.empty()) el = c.g.eligibility(c.xn, c.xe); + const Eligibility* elp = el ? &*el : nullptr; + const auto best = exhaustive_costs(c.g, c.view, c.s, c.d, elp); + const auto ref = independent_curve(c.g, c.view, c.s, c.d, elp); + ASSERT_EQ(ref.back().first, best.rbegin()->first) << "trial " << trial; + for (const auto& [x, cost] : best) ASSERT_EQ(curve_at(ref, x), cost) << "trial " << trial << " value " << x; + several += ref.size() > 2; + masked += elp != nullptr && ref.size() > 1; + } + // Not vacuous: curves of two augmentations or more, and masked cases with a positive flow (91 + // and 116 at this seed with libc++, whose std::shuffle in random_case another standard library + // does not reproduce). + EXPECT_GT(several, 60); + EXPECT_GT(masked, 90); } TEST(FlowCore, RandomLargeUnitsTierB) { // Capacities near the domain bound (sum below 2^62) and costs near 2^40. std::mt19937_64 rng(62); + int positive = 0; for (int trial = 0; trial < 40; ++trial) { const int n = 4 + static_cast(rng() % 6); const int m = 3 + static_cast(rng() % 12); @@ -529,36 +650,245 @@ TEST(FlowCore, RandomLargeUnitsTierB) { nullptr, std::nullopt); const auto fails = certify(g, view, {0}, {n - 1}, std::nullopt, nullptr, r, false); ASSERT_TRUE(fails.empty()) << "trial " << trial << ": " << fails.front(); + positive += r.placed > 0; } + // Only a positive flow reaches the arithmetic near the bound, and many of these sparse random + // graphs place nothing, so the trials that place something are counted. + EXPECT_GT(positive, 10); } TEST(FlowCore, CertificateRejectsMutatedPayloads) { - // The test oracle itself is not vacuous: the review-17 negative controls are rejected. + // The test oracle itself is not vacuous: each negative control below is rejected by the clause + // it breaks. Every clean payload certifies first, so the rejection comes from the mutation. auto one = make_graph(2, {{0, 1, 3, 7}}); std::vector v1 = {3}; auto under = solve(one, {0}, {1}, 1); - EXPECT_FALSE(certify(one, v1, {0}, {1}, 2, nullptr, under, true).empty()); // underfill under cap 2 + ASSERT_TRUE(certify(one, v1, {0}, {1}, 1, nullptr, under, true).empty()); + // Placed 1 under cap 2 with the edge still open. + EXPECT_TRUE(has_failure(certify(one, v1, {0}, {1}, 2, nullptr, under, true), "attained value: early stop")); + // The same payload without a cap, in both branches: an uncapped solve must be maximal, so the + // two clauses that prove it fail and nothing else does (the curve up to the placed unit is + // optimal): the destination is still reachable, and 1 is not F_max = 3. + for (const bool tier_a : {true, false}) { + EXPECT_EQ(certify(one, v1, {0}, {1}, std::nullopt, nullptr, under, tier_a), + (std::vector {"uncapped solve left the destinations connected", + "placed differs from min(cap, F_max)"})) + << tier_a; + } auto slope = solve(one, {0}, {1}, 2); - slope.cost_distribution = curve({{6, 2}}); - EXPECT_FALSE(certify(one, v1, {0}, {1}, 2, nullptr, slope, true).empty()); + ASSERT_TRUE(certify(one, v1, {0}, {1}, 2, nullptr, slope, true).empty()); + slope.cost_distribution = curve({{6, 2}}); // moment 12, the flow costs 14 + EXPECT_TRUE(has_failure(certify(one, v1, {0}, {1}, 2, nullptr, slope, true), "curve moment differs")); + // The curve-shape clauses, each the only failure in both branches: an entry of volume 0 before + // the real one (an empty curve segment, which the curve comparison must skip, not divide by its + // zero length), and the one tier split in two at the same cost. Total, moment and pi(t*) hold. + auto full = solve(one, {0}, {1}, std::nullopt); + ASSERT_EQ(full.cost_distribution, curve({{7, 3}})); + for (const bool tier_a : {true, false}) { + ASSERT_TRUE(certify(one, v1, {0}, {1}, std::nullopt, nullptr, full, tier_a).empty()) << tier_a; + auto empty_entry = full; + empty_entry.cost_distribution = curve({{6, 0}, {7, 3}}); + EXPECT_EQ(certify(one, v1, {0}, {1}, std::nullopt, nullptr, empty_entry, tier_a), + std::vector {"curve volume not positive"}) + << tier_a; + auto split = full; + split.cost_distribution = curve({{7, 1}, {7, 2}}); + EXPECT_EQ(certify(one, v1, {0}, {1}, std::nullopt, nullptr, split, tier_a), + std::vector {"curve costs not strictly increasing"}) + << tier_a; + } auto cut = solve(one, {0}, {1}, std::nullopt); + ASSERT_TRUE(certify(one, v1, {0}, {1}, std::nullopt, nullptr, cut, true).empty()); cut.min_cut = std::vector{}; - EXPECT_FALSE(certify(one, v1, {0}, {1}, std::nullopt, nullptr, cut, true).empty()); + EXPECT_TRUE(has_failure(certify(one, v1, {0}, {1}, std::nullopt, nullptr, cut, true), "min_cut differs")); auto par = make_graph(2, {{0, 1, 1, 1}, {0, 1, 1, 3}}); std::vector vp = {1, 1}; auto omitted = solve(par, {0}, {1}, std::nullopt); + ASSERT_TRUE(certify(par, vp, {0}, {1}, std::nullopt, nullptr, omitted, true).empty()); omitted.cost_distribution = curve({{2, 2}}); // same moment, omitted breakpoint at 1 - EXPECT_FALSE(certify(par, vp, {0}, {1}, std::nullopt, nullptr, omitted, true).empty()); - EXPECT_FALSE(certify(par, vp, {0}, {1}, std::nullopt, nullptr, omitted, false).empty()); + EXPECT_TRUE(has_failure(certify(par, vp, {0}, {1}, std::nullopt, nullptr, omitted, true), + "curve differs from the exhaustive optimum at 1")); + EXPECT_TRUE(has_failure(certify(par, vp, {0}, {1}, std::nullopt, nullptr, omitted, false), + "curve differs from the independent solver at 1")); auto any = make_graph(3, {{0, 1, 1, 1}, {0, 2, 1, 2}}); std::vector va = {1, 1}; auto pot = solve(any, {0}, {1, 2}, std::nullopt); + ASSERT_TRUE(certify(any, va, {0}, {1, 2}, std::nullopt, nullptr, pot, true).empty()); pot.potentials[1] = 1; // an inflow destination below pi(t*) - EXPECT_FALSE(certify(any, va, {0}, {1, 2}, std::nullopt, nullptr, pot, true).empty()); + EXPECT_TRUE(has_failure(certify(any, va, {0}, {1, 2}, std::nullopt, nullptr, pot, true), + "inflow destination potential differs")); auto sentinel = solve(one, {0}, {1}, 1); + ASSERT_TRUE(certify(one, v1, {0}, {1}, 1, nullptr, sentinel, true).empty()); sentinel.potentials = {kNeverReached, kNeverReached}; - EXPECT_FALSE(certify(one, v1, {0}, {1}, 1, nullptr, sentinel, true).empty()); + EXPECT_TRUE(has_failure(certify(one, v1, {0}, {1}, 1, nullptr, sentinel, true), "closure vertex holds NEVER_REACHED")); auto zero = solve(one, {0}, {1}, 0); + ASSERT_TRUE(certify(one, v1, {0}, {1}, 0, nullptr, zero, true).empty()); zero.counters.dijkstra_runs = 1; - EXPECT_FALSE(certify(one, v1, {0}, {1}, 0, nullptr, zero, true).empty()); + EXPECT_TRUE(has_failure(certify(one, v1, {0}, {1}, 0, nullptr, zero, true), "zero cap: the prescribed zero payload")); + + // The flow clauses. Two parallel edges of capacity 1 and cost 1 carry one unit each; both + // units on EdgeId 0 keep the value, conservation and the cost but exceed its view of 1. + auto twin = make_graph(2, {{0, 1, 1, 1}, {0, 1, 1, 1}}); + std::vector vt = {1, 1}; + auto over = solve(twin, {0}, {1}, std::nullopt); + ASSERT_TRUE(certify(twin, vt, {0}, {1}, std::nullopt, nullptr, over, true).empty()); + ASSERT_EQ(over.edge_flows, (std::vector{1, 1})); + over.edge_flows = {2, 0}; + EXPECT_TRUE(has_failure(certify(twin, vt, {0}, {1}, std::nullopt, nullptr, over, true), "feasibility at edge 0")); + // EdgeId 1 masked: the solve uses EdgeId 0; moving its unit to EdgeId 1 puts flow on the + // ineligible edge at the same cost. + const std::vector second = {1}; + const auto mask = twin.eligibility({}, second); + auto masked = solve(twin, {0}, {1}, std::nullopt, nullptr, &mask); + ASSERT_TRUE(certify(twin, vt, {0}, {1}, std::nullopt, &mask, masked, true).empty()); + ASSERT_EQ(masked.edge_flows, (std::vector{1, 0})); + masked.edge_flows = {0, 1}; + EXPECT_TRUE(has_failure(certify(twin, vt, {0}, {1}, std::nullopt, &mask, masked, true), + "flow on an ineligible edge 1")); + // The chain 0 -> 1 -> 2 carries 2 units; one unit less out of node 1 leaves it unbalanced. + auto chain = make_graph(3, {{0, 1, 2, 1}, {1, 2, 2, 1}}); + std::vector vc = {2, 2}; + auto leak = solve(chain, {0}, {2}, std::nullopt); + ASSERT_TRUE(certify(chain, vc, {0}, {2}, std::nullopt, nullptr, leak, true).empty()); + const auto out_of_1 = static_cast(chain.edge_src()[0] == 1 ? 0 : 1); + leak.edge_flows[out_of_1] = 1; + EXPECT_TRUE(has_failure(certify(chain, vc, {0}, {2}, std::nullopt, nullptr, leak, true), "conservation at node 1")); + // The same chain with capacities 5, capped at 1: every vertex is in the closure with + // potentials (0, 1, 2). Raising pi(1) to 3 makes the reduced costs of 0 -> 1 (1 + 0 - 3) and of + // the backward arc 2 -> 1 (-1 + 2 - 3) negative; pi(t*) = 2 is still the last curve cost, so + // these two are the only failures. + auto wide_chain = make_graph(3, {{0, 1, 5, 1}, {1, 2, 5, 1}}); + std::vector vw = {5, 5}; + auto reduced = solve(wide_chain, {0}, {2}, 1); + ASSERT_TRUE(certify(wide_chain, vw, {0}, {2}, 1, nullptr, reduced, true).empty()); + ASSERT_EQ(reduced.potentials, (std::vector{0, 1, 2})); + reduced.potentials[1] = 3; + EXPECT_EQ(certify(wide_chain, vw, {0}, {2}, 1, nullptr, reduced, true), + (std::vector{"negative reduced cost inside the closure", + "negative reduced cost inside the closure"})); +} + +TEST(FlowCore, CertificateRejectsEveryOtherClause) { + // The clauses (and each condition of a clause with several) that the test above does not reach, + // one control each. `mutated` solves on the full capacities, certifies the clean payload, then + // returns the failed clauses of the mutated copy. A control expects the exact list where the + // mutation can break one clause alone, else the clause it targets among those it also breaks. + using Mutation = std::function; + auto mutated = [](const Graph& g, const std::vector& s, const std::vector& d, + std::optional cap, const Eligibility* el, const Mutation& mutate) { + std::vector view(g.capacity_units().begin(), g.capacity_units().end()); + auto r = place_global_units(g, view, s, d, el, cap); + EXPECT_TRUE(certify(g, view, s, d, cap, el, r, true).empty()); + mutate(r); + return certify(g, view, s, d, cap, el, r, true); + }; + using Fails = std::vector; + // One edge 0 -> 1 of capacity 3 and cost 7. Uncapped, the edge is saturated, so the closure is + // {0} and the destination's potential (7) is pinned only by the last curve cost; under cap 1 the + // destination stays in the closure. + const auto one = make_graph(2, {{0, 1, 3, 7}}); + const auto s = v({0}); + const auto d = v({1}); + // The shape: either array one entry too long. + EXPECT_EQ(mutated(one, s, d, std::nullopt, nullptr, [](auto& r) { r.edge_flows.push_back(0); }), Fails{"shape"}); + EXPECT_EQ(mutated(one, s, d, std::nullopt, nullptr, [](auto& r) { r.potentials.push_back(0); }), Fails{"shape"}); + // The zero-cap payload, each of its fields alone (the counters are the test above's control). + const std::vector nonzero = { + [](auto& r) { r.placed = 1; }, + [](auto& r) { r.cost_distribution = curve({{7, 1}}); }, + [](auto& r) { r.min_cut = std::vector{}; }, + [](auto& r) { r.edge_flows[0] = 1; }, + [](auto& r) { r.potentials[0] = 0; }, + }; + for (std::size_t k = 0; k < nonzero.size(); ++k) { + EXPECT_EQ(mutated(one, s, d, 0, nullptr, nonzero[k]), Fails{"zero cap: the prescribed zero payload"}) << k; + } + // A negative edge flow (the test above sends one above the view). + EXPECT_TRUE(has_failure(mutated(one, s, d, std::nullopt, nullptr, [](auto& r) { r.edge_flows[0] = -1; }), + "feasibility at edge 0")); + // Sources {0, 1}, destination 2, edges 0 -> 1 and 1 -> 2: source 1 sends its unit directly. + // Moving it to 0 -> 1 makes source 1 absorb a unit. + const auto two_sources = make_graph(3, {{0, 1, 1, 1}, {1, 2, 1, 1}}); + const auto ts = id_of_input(two_sources); + EXPECT_TRUE(has_failure(mutated(two_sources, v({0, 1}), v({2}), std::nullopt, nullptr, + [&](auto& r) { + r.edge_flows[static_cast(ts[0])] = 1; + r.edge_flows[static_cast(ts[1])] = 0; + }), + "source absorbs flow")); + // The same edges with destinations {1, 2} and source 0: the unit stops at destination 1; + // moving it to 1 -> 2 makes destination 1 emit a unit. + EXPECT_TRUE(has_failure(mutated(two_sources, v({0}), v({1, 2}), std::nullopt, nullptr, + [&](auto& r) { + r.edge_flows[static_cast(ts[0])] = 0; + r.edge_flows[static_cast(ts[1])] = 1; + }), + "destination emits flow")); + // Excluded endpoints: 0 -> 2 and 1 -> 2 with sources {0, 1} and source 0 excluded (and with it + // the edge 0 -> 2); a unit on 0 -> 2 is supplied by the excluded source. Mirrored, 0 -> 1 and + // 0 -> 2 with destinations {1, 2} and destination 2 excluded. + const auto into_2 = make_graph(3, {{0, 2, 1, 1}, {1, 2, 1, 1}}); + const auto x0 = into_2.eligibility(v({0}), {}); + EXPECT_TRUE(has_failure( + mutated(into_2, v({0, 1}), v({2}), std::nullopt, &x0, + [&](auto& r) { r.edge_flows[static_cast(id_of_input(into_2)[0])] = 1; }), + "excluded source supplies")); + const auto out_of_0 = make_graph(3, {{0, 1, 1, 1}, {0, 2, 1, 1}}); + const auto x2 = out_of_0.eligibility(v({2}), {}); + EXPECT_TRUE(has_failure( + mutated(out_of_0, v({0}), v({1, 2}), std::nullopt, &x2, + [&](auto& r) { r.edge_flows[static_cast(id_of_input(out_of_0)[1])] = 1; }), + "excluded destination receives")); + // The value against the supply alone and the inflow alone: on the chain 0 -> 1 -> 2 carrying + // 2, one unit less into node 1 lowers the supply only, one unit less out of it the inflow only. + const auto chain = make_graph(3, {{0, 1, 2, 1}, {1, 2, 2, 1}}); + for (const int edge : {0, 1}) { + EXPECT_TRUE(has_failure( + mutated(chain, s, v({2}), std::nullopt, nullptr, + [&](auto& r) { r.edge_flows[static_cast(id_of_input(chain)[edge])] = 1; }), + "value differs from supply or inflow")) + << edge; + } + // placed outside [0, cap]: above the cap, and negative without one. + EXPECT_TRUE(has_failure(mutated(one, s, d, 1, nullptr, [](auto& r) { r.placed = 2; }), "placed outside [0, cap]")); + EXPECT_TRUE( + has_failure(mutated(one, s, d, std::nullopt, nullptr, [](auto& r) { r.placed = -1; }), "placed outside [0, cap]")); + // The cut: present while cap 1 leaves the destination reachable, missing on the maximal solve, + // and its value (3) against a lowered placed (which also breaks the value and the curve total). + EXPECT_EQ(mutated(one, s, d, 1, nullptr, [](auto& r) { r.min_cut = std::vector{}; }), + Fails{"min_cut present on a connected solve"}); + EXPECT_EQ(mutated(one, s, d, std::nullopt, nullptr, [](auto& r) { r.min_cut.reset(); }), + Fails{"min_cut missing on a maximal solve"}); + EXPECT_TRUE( + has_failure(mutated(one, s, d, std::nullopt, nullptr, [](auto& r) { r.placed = 2; }), "cut value differs from placed")); + // The potentials: node 1's (outside the closure) below the sentinel (also below pi(t*)), the + // root's (the closure), pi(t*) against the last curve cost, and no destination potential at all + // although 3 units arrive (node 1 is reached at zero flow, so the sentinel also breaks that + // clause). + EXPECT_TRUE(has_failure(mutated(one, s, d, std::nullopt, nullptr, [](auto& r) { r.potentials[1] = kNeverReached - 1; }), + "potential below the sentinel")); + EXPECT_EQ(mutated(one, s, d, std::nullopt, nullptr, [](auto& r) { r.potentials[0] = 1; }), + Fails{"allowed root with potential other than 0"}); + EXPECT_EQ(mutated(one, s, d, std::nullopt, nullptr, [](auto& r) { r.potentials[1] = 8; }), + Fails{"pi(t*) differs from the last curve cost"}); + EXPECT_EQ(mutated(one, s, d, std::nullopt, nullptr, [](auto& r) { r.potentials[1] = kNeverReached; }), + (Fails{"NEVER_REACHED differs from reachability at zero flow at node 1", + "flow delivered but no destination reached"})); + // The sentinel against reachability at zero flow, each direction alone. On 0 -> 1 and 2 -> 1 + // nothing reaches node 2, which must hold NEVER_REACHED, not 0 or another value. On 0 -> 1 + // (capacity 3, cost 7) and 1 -> 2, uncapped, the first search settles node 2 through node 1 and + // the saturated edge then leaves both outside the closure: node 2 must not hold NEVER_REACHED. + const auto unreached = make_graph(3, {{0, 1, 1, 1}, {2, 1, 1, 1}}); + for (const Cost p : {Cost {0}, Cost {123456}}) { + EXPECT_EQ(mutated(unreached, s, d, std::nullopt, nullptr, [&](auto& r) { r.potentials[2] = p; }), + Fails{"NEVER_REACHED differs from reachability at zero flow at node 2"}) + << p; + } + const auto beyond = make_graph(3, {{0, 1, 3, 7}, {1, 2, 1, 1}}); + EXPECT_EQ(mutated(beyond, s, d, std::nullopt, nullptr, [](auto& r) { r.potentials[2] = kNeverReached; }), + Fails{"NEVER_REACHED differs from reachability at zero flow at node 2"}); + // The curve total: a free tier of 1 before the real one keeps the moment (21) and pi(t*), and + // the curve then also differs from the optimum at 1. + EXPECT_EQ(mutated(one, s, d, std::nullopt, nullptr, [](auto& r) { r.cost_distribution = curve({{0, 1}, {7, 3}}); }), + (Fails{"curve total differs from placed", "curve differs from the exhaustive optimum at 1"})); } diff --git a/tests/cpp/flow_ledger_fault_tests.cpp b/tests/cpp/flow_ledger_fault_tests.cpp index 7d8a000..0d44acb 100644 --- a/tests/cpp/flow_ledger_fault_tests.cpp +++ b/tests/cpp/flow_ledger_fault_tests.cpp @@ -1,17 +1,29 @@ -// Allocation-failure atomicity of the ledger and of a one-bundle Pinned policy's transaction -// (APPROACH 8, 9.2; review-1b D1). This executable replaces the global operator new so that one chosen -// allocation throws std::bad_alloc. Every operation is swept over every allocation it makes: -// after each injected failure the ledger (aggregate, residual, every record field, bound and -// orphaned owners, next FlowId) and the policy (epoch state, flow id, plan) must equal their -// state before the call, the per-thread scratch must not be poisoned (a clean retry gives the -// reference result), and remove() must restore the state before the policy placed anything. +// Allocation-failure atomicity of the ledger and of a one-bundle Pinned policy's transaction. +// The fault-injection executable replaces the global operator new so that one chosen allocation +// throws std::bad_alloc (fault_injection.cpp). Every operation is swept over every allocation it +// makes: after each injected failure the ledger (aggregate, residual, every record field, bound +// and orphaned owners, next FlowId) and the policy's epoch state (requested, +inf, placed demand, +// and its flow's id, route cost and plan: route, members, weights) must equal their state before +// the call, the per-thread scratch must not be poisoned (a clean retry gives the reference +// result), and remove() must leave the state the reference's own remove() leaves (the policy's +// records gone, their FlowIds retired). The ledger's own calls are swept the same way: reset() and +// reset(residual) change nothing and leak nothing when they fail; a failed construction or copy +// of a ledger, and a failed construction of a policy, build nothing and leak nothing; a move +// changes its source only once it can no longer fail; the completing copy and move hold +// everything the source held; remove() and a policy's destruction allocate nothing. One check +// belongs to the flow core: its node map never allocates when it adds a node (the last test but +// one). The first test checks the comparators of state_comparators.hpp themselves: each must +// report a copy with any one field changed; the next two check the hook of fault_injection.cpp: it +// reports a swallowed or a foreign std::bad_alloc, its nothrow form never fails, and any other +// exception of a swept call leaves it disarmed. #include -#include +#include #include #include #include #include +#include #include #include #include @@ -24,95 +36,12 @@ #include "pinned_one.hpp" #include "test_utils.hpp" -// Allocations left before the injected failure; negative: no injection (fault_injection.hpp). -// Shared by every thread; with g_workers_only the calling test thread's allocations do not count. -std::atomic g_countdown {-1}; -// Live allocations of the replacement operator new (a successful allocation counts up, the -// delete of a non-null pointer counts down): the sweeps compare it before and after an operation -// to count leaks, which ASan's leak detection (off on macOS) would not. -std::atomic g_live {0}; -static std::atomic g_workers_only {false}; -static thread_local bool t_test_thread = false; - -void* operator new(std::size_t n) { - if (g_countdown.load(std::memory_order_relaxed) >= 0 && - !(t_test_thread && g_workers_only.load(std::memory_order_relaxed)) && - g_countdown.fetch_sub(1, std::memory_order_relaxed) == 0) { - throw std::bad_alloc(); - } - if (void* p = std::malloc(n == 0 ? 1 : n)) { - g_live.fetch_add(1, std::memory_order_relaxed); - return p; - } - throw std::bad_alloc(); -} -void* operator new[](std::size_t n) { return ::operator new(n); } -void operator delete(void* p) noexcept { - if (p != nullptr) g_live.fetch_sub(1, std::memory_order_relaxed); - std::free(p); -} -void operator delete[](void* p) noexcept { ::operator delete(p); } -void operator delete(void* p, std::size_t) noexcept { ::operator delete(p); } -void operator delete[](void* p, std::size_t) noexcept { ::operator delete(p); } - using namespace netgraph::core; using namespace netgraph::core::test; using detail::LedgerAccess; namespace { -// The shared comparators of fault_injection.hpp, beside this file's own overloads. -using test::expect_same; - -bool inject(long k, bool workers_only, const std::function& fn) { - t_test_thread = true; - g_workers_only = workers_only; - g_countdown = k; - bool failed = false; - try { - fn(); - } catch (const std::bad_alloc&) { - failed = true; - } - const bool reached = g_countdown.load() < 0; - g_countdown = -1; - g_workers_only = false; - EXPECT_EQ(failed, reached) << "a std::bad_alloc was swallowed or replaced at allocation " << k - << (workers_only ? " (worker threads)" : ""); - return failed; -} - -} // namespace - -// Runs fn with the k-th allocation (from 0) failing; returns whether that failure happened. -bool fails_at(long k, const std::function& fn) { return inject(k, false, fn); } - -bool fails_in_workers_at(long k, const std::function& fn) { return inject(k, true, fn); } - -namespace { - -struct Epoch { - Counter128 requested; - bool infinite {false}; - std::optional flow_id; - bool planned {false}; - Amount placed {0}; -}; - -Epoch epoch(const PinnedOne& p) { - auto id = p.flow_id(); - if (id.has_value()) id->first = 0; - return {p.requested(), p.infinite(), id, p.plan() != nullptr, p.placed_demand()}; -} - -void expect_same(const Epoch& a, const Epoch& b, const std::string& where) { - EXPECT_EQ(a.requested, b.requested) << where; - EXPECT_EQ(a.infinite, b.infinite) << where; - EXPECT_EQ(a.flow_id, b.flow_id) << where; - EXPECT_EQ(a.planned, b.planned) << where; - EXPECT_EQ(a.placed, b.placed) << where; -} - struct Kernel { FlowPlacement placement; Admission admission; @@ -139,7 +68,6 @@ struct Case { }; std::vector cases() { - auto shared = [](Graph g) { return std::make_shared(std::move(g)); }; return { {"edge", shared(make_graph(2, {{0, 1, 9, 1}})), 0, 1}, {"chain", shared(make_graph(3, {{0, 1, 9, 1}, {1, 2, 9, 1}})), 0, 2}, @@ -150,14 +78,8 @@ std::vector cases() { }; } -std::shared_ptr all_edges(const Graph& g) { - std::vector e(static_cast(g.num_edges())); - for (std::size_t i = 0; i < e.size(); ++i) e[i] = static_cast(i); - return std::make_shared(detail::PredDAGBuilder::of_edges(g, e)); -} - -// One scenario: a third party holding 1 unit on every edge, then the policy's earlier calls, -// then the call under test. +// One scenario: a third party's 1-unit EqualBalanced placement on the same bundle, then the +// policy's earlier calls, then the call under test. struct Scenario { std::vector> before; std::optional call; @@ -176,9 +98,203 @@ const std::vector& scenarios() { } // namespace +// The sweeps' only "nothing changed" comparisons compare every field: same_record and the +// expect_same overloads of the ledger, a result and a policy's epoch report a copy with any one +// field changed, and expect_balanced reports an aggregate that leaves the sum of the records or +// [0, baseline] on one edge. +TEST(LedgerFaults, TheSweepComparatorsCompareEveryField) { + const auto g = shared(make_graph(3, {{0, 1, 9, 1}, {1, 2, 9, 1}, {0, 2, 4, 3}})); + FlowLedger fg(g); + auto p = std::make_unique(fg, v({0}), v({2}), cost_only_config()); + const PlacementResult r = p->place(5, OutputOptions {true, true, true}); + const LedgerState st = ledger_state(fg); + ASSERT_EQ(st.records.size(), 1U); + const FlowRecord& rec = st.records.front(); + ASSERT_TRUE(rec.bundle != nullptr); + ASSERT_TRUE(same_record(rec, rec)); + const auto other_bundle = all_edges(*g); + ASSERT_FALSE(*other_bundle == *rec.bundle); + const std::vector> records = { + [](auto& x) { ++x.flow_id.second; }, + [](auto& x) { ++x.owner; }, + [](auto& x) { x.sources.push_back(1); }, + [](auto& x) { x.destinations.push_back(1); }, + [](auto& x) { x.placement = FlowPlacement::MaxFlow; }, + [](auto& x) { x.admission = Admission::Lossy; }, + [&](auto& x) { x.bundle = other_bundle; }, + [](auto& x) { ++x.route_cost; }, + [](auto& x) { x.offered = Counter128 {}; }, + [](auto& x) { ++x.delivered; }, + [](auto& x) { x.edges.emplace_back(2, 1); }, + [](auto& x) { x.drops.emplace_back(2, Counter128 {}); }, + }; + ASSERT_EQ(rec.placement, FlowPlacement::EqualBalanced); + ASSERT_EQ(rec.admission, Admission::Lossless); + ASSERT_FALSE(rec.offered.has_value()); + for (std::size_t k = 0; k < records.size(); ++k) { + FlowRecord x = rec; + records[k](x); + EXPECT_FALSE(same_record(x, rec)) << "record field " << k; + } + // The uid clause of ledger_state: the records' own uid passes, another fails. + { + auto own = fg.records(); + EXPECT_EQ(failures_of([&] { expect_uid_then_clear(own, fg.uid()); }), 0); + EXPECT_EQ(own.front().flow_id.first, 0U); + auto foreign = fg.records(); + EXPECT_EQ(failures_of([&] { expect_uid_then_clear(foreign, fg.uid() + 1); }), 1); + } + EXPECT_EQ(failures_of([&] { expect_same(st, st, "same"); }), 0); + const std::vector> states = { + [](auto& x) { ++x.allocated[0]; }, + [](auto& x) { ++x.residual[0]; }, + [](auto& x) { x.records.emplace_back(); }, + [](auto& x) { ++x.records[0].delivered; }, + [](auto& x) { ++x.next_id; }, + [](auto& x) { x.bound.push_back(7); }, + [](auto& x) { x.orphans.push_back(7); }, + }; + for (std::size_t k = 0; k < states.size(); ++k) { + LedgerState x = st; + states[k](x); + EXPECT_GT(failures_of([&] { expect_same(x, st, "state"); }), 0) << "ledger field " << k; + } + ASSERT_TRUE(r.edge_flows.has_value() && r.residual.has_value() && r.bottleneck.has_value()); + EXPECT_EQ(failures_of([&] { expect_same(r, r, "same"); }), 0); + const std::vector> results = { + [](auto& x) { ++x.placed; }, + [](auto& x) { x.remaining = Amount {1}; }, + [](auto& x) { x.termination = Termination::NoRoute; }, + [](auto& x) { x.local_outcomes.emplace_back(1, Termination::NoRoute); }, + [](auto& x) { x.routes_changed = !x.routes_changed; }, + [](auto& x) { x.weights_changed = !x.weights_changed; }, + [](auto& x) { x.drops.emplace_back(2, 1); }, + [](auto& x) { x.cost_distribution = std::vector> {{9, 1}}; }, + [](auto& x) { x.edge_flows->push_back(0); }, + [](auto& x) { x.residual->push_back(0); }, + [](auto& x) { x.bottleneck->push_back(0); }, + [](auto& x) { x.min_cut = std::vector {0}; }, + }; + ASSERT_NE(r.remaining, std::optional {1}); + ASSERT_NE(r.termination, Termination::NoRoute); + ASSERT_FALSE(r.cost_distribution.has_value()); // CostOnly: Global's curve only + ASSERT_FALSE(r.min_cut.has_value()); + for (std::size_t k = 0; k < results.size(); ++k) { + PlacementResult x = r; + results[k](x); + EXPECT_GT(failures_of([&] { expect_same(x, r, "result"); }), 0) << "result field " << k; + } + // The epoch: every field of the call state and of a flow. + const Epoch ep = epoch(*p); + ASSERT_FALSE(ep.cohorts.empty() || ep.cohorts.front().empty()); + EXPECT_EQ(failures_of([&] { expect_same(ep, ep, "same"); }), 0); + const std::vector> epochs = { + [](auto& x) { ++x.requested.hi; }, + [](auto& x) { ++x.requested.lo; }, + [](auto& x) { x.infinite = !x.infinite; }, + [](auto& x) { ++x.placed; }, + [](auto& x) { x.curve.emplace_back(9, 1); }, + [](auto& x) { x.cohorts.emplace_back(); }, + [](auto& x) { ++x.cohorts[0][0].id; }, + [](auto& x) { ++x.cohorts[0][0].cost; }, + [](auto& x) { x.cohorts[0][0].route.push_back(0); }, + [](auto& x) { x.cohorts[0][0].members.push_back(0); }, + [](auto& x) { x.cohorts[0][0].weights.push_back(1); }, + }; + for (std::size_t k = 0; k < epochs.size(); ++k) { + Epoch x = ep; + epochs[k](x); + EXPECT_GT(failures_of([&] { expect_same(x, ep, "epoch"); }), 0) << "epoch field " << k; + } + // expect_balanced: one clause broken at a time on a copy of the ledger (its record an orphan: + // a ledger with a bound policy cannot be copied), through the copy's stored aggregate and + // record (the copy is not const, so writing through the borrowed views is defined). + p.reset(); + EXPECT_EQ(failures_of([&] { expect_balanced(fg, "balanced"); }), 0); + const EdgeId e = rec.edges.front().first; + const auto ei = static_cast(e); + const std::vector>> ledgers = { + {"aggregate above the sum of the records", + [&](FlowLedger& x) { ++const_cast(detail::LedgerAccess::allocated(x)[ei]); }}, + {"record and aggregate above the baseline", + [&](FlowLedger& x) { + const Amount over = detail::LedgerAccess::baseline(x)[ei] + 1 - detail::LedgerAccess::allocated(x)[ei]; + const_cast(detail::LedgerAccess::allocated(x)[ei]) += over; + auto& live = const_cast(detail::LedgerAccess::live(x, rec.flow_id.second)); + for (auto& [edge, amount] : live.edges) amount += edge == e ? over : 0; + }}, + {"record and aggregate below zero", + [&](FlowLedger& x) { + const Amount under = detail::LedgerAccess::allocated(x)[ei] + 1; + const_cast(detail::LedgerAccess::allocated(x)[ei]) -= under; + auto& live = const_cast(detail::LedgerAccess::live(x, rec.flow_id.second)); + for (auto& [edge, amount] : live.edges) amount -= edge == e ? under : 0; + }}, + }; + for (const auto& [name, breaks] : ledgers) { + FlowLedger x(fg); + breaks(x); + EXPECT_GT(failures_of([&] { expect_balanced(x, name); }), 0) << name; + } +} + +// The hook itself. fails_at's check that an injected std::bad_alloc propagated is every sweep's +// only check of it, so it must report a failure that fn swallows and a std::bad_alloc it did not +// inject; a call that allocates nothing reaches no failure. The nothrow operator new never fails +// and counts as live like the throwing one, so a call that asks for memory it can do without (the +// temporary buffer of std::stable_partition) is neither a reported failure nor a leak. +TEST(FaultHook, ReportsSwallowedAndForeignFailuresAndNeverFailsNothrow) { + EXPECT_EQ(failures_of([] { EXPECT_FALSE(fails_at(0, [] {})); }), 0); + // Reached and swallowed: the injected failure does not reach fails_at. + EXPECT_EQ(failures_of([] { + (void)fails_at(0, [] { + try { + ::operator delete(::operator new(8)); + } catch (const std::bad_alloc&) { + } + }); + }), + 1); + // A std::bad_alloc of fn's own while the armed failure is never reached. + EXPECT_EQ(failures_of([] { (void)fails_at(1000, [] { throw std::bad_alloc(); }); }), 1); + // A standard algorithm's nothrow temporary buffer: whether the library takes it through the + // nothrow form (not a failure point) or the throwing one (a failure that propagates), the hook + // reports nothing, and the completing call partitions. + std::vector> v(6); + for (int i = 0; i < 6; ++i) v[static_cast(i)].push_back(i); + const auto even = [](const std::vector& x) { return x[0] % 2 == 0; }; + EXPECT_EQ(failures_of([&] { (void)fails_at(0, [&] { (void)std::stable_partition(v.begin(), v.end(), even); }); }), + 0); + (void)std::stable_partition(v.begin(), v.end(), even); + EXPECT_EQ(v, (std::vector> {{0}, {2}, {4}, {1}, {3}, {5}})); + // The nothrow form under an armed failure: it allocates, counts and leaves the countdown alone. + const long live = g_live.load(); + void* q = nullptr; + EXPECT_EQ(failures_of([&] { EXPECT_FALSE(fails_at(0, [&] { q = ::operator new(16, std::nothrow); })); }), 0); + ASSERT_NE(q, nullptr); + EXPECT_EQ(g_live.load(), live + 1); + ::operator delete(q); + EXPECT_EQ(g_live.load(), live); +} + +// A swept call that throws something other than std::bad_alloc (a validation error, a failed +// check of the library) leaves the hook with that exception, unchanged, and disarmed: an armed +// countdown would fail an allocation of whatever runs next (the test framework's report of the +// exception, a later test), so one real failure would show up as unrelated ones. Each check reads +// the countdown and disarms it in one step, so a failure here does not spread either. +TEST(FaultHook, AnyOtherExceptionLeavesTheHookDisarmed) { + EXPECT_THROW((void)fails_at(1000, [] { throw std::invalid_argument("a validation error"); }), std::invalid_argument); + EXPECT_LT(g_countdown.exchange(-1), 0); + EXPECT_THROW((void)fails_in_workers_at(1000, [] { throw std::logic_error("a failed check"); }), std::logic_error); + EXPECT_LT(g_countdown.exchange(-1), 0); + bool bad_alloc = true; + EXPECT_THROW((void)reaches_in_workers_at(1000, [] { throw std::invalid_argument("x"); }, bad_alloc), + std::invalid_argument); + EXPECT_LT(g_countdown.exchange(-1), 0); + EXPECT_FALSE(bad_alloc); +} + TEST(LedgerFaults, EveryAllocationOfAPlacementFailsAtomically) { - int sweeps = 0; - long injected = 0; for (const auto& c : cases()) { const auto dag = all_edges(*c.g); for (const auto& k : kernels()) { @@ -186,63 +302,42 @@ TEST(LedgerFaults, EveryAllocationOfAPlacementFailsAtomically) { const std::string where = c.name + " kernel " + std::to_string(static_cast(k.placement)) + "/" + std::to_string(static_cast(k.admission)) + "/" + std::to_string(static_cast(k.priority)) + " " + sc.name; - // The reference: the same sequence without a failure. - FlowLedger ref(c.g); - PinnedOne third_ref(ref, c.src, c.dst, dag, FlowPlacement::EqualBalanced, Admission::Lossless, - EdgePriority::Residual); - (void)third_ref.place(1); - PinnedOne pref(ref, c.src, c.dst, dag, k.placement, k.admission, k.priority); - for (auto v : sc.before) (void)pref.place(v); - const LedgerState initial = ledger_state(ref); - const PlacementResult want = pref.place(sc.call); - const LedgerState after = ledger_state(ref); - const Epoch want_epoch = epoch(pref); - pref.remove(); - const LedgerState removed = ledger_state(ref); - ++sweeps; - for (long at = 0;; ++at) { - const std::string w = where + " allocation " + std::to_string(at); - FlowLedger fg(c.g); - PinnedOne third(fg, c.src, c.dst, dag, FlowPlacement::EqualBalanced, Admission::Lossless, - EdgePriority::Residual); - (void)third.place(1); - PinnedOne p(fg, c.src, c.dst, dag, k.placement, k.admission, k.priority); - for (auto v : sc.before) (void)p.place(v); - const LedgerState before = ledger_state(fg); - const Epoch before_epoch = epoch(p); - expect_same(before, initial, w + " (setup)"); - PlacementResult got; - if (!fails_at(at, [&] { got = p.place(sc.call); })) { - expect_same(got, want, w + " (no failure)"); - expect_same(ledger_state(fg), after, w + " (no failure)"); - break; - } - ++injected; - // Failed: nothing changed, ledger and policy. - expect_same(ledger_state(fg), before, w + " (failed call)"); - expect_same(epoch(p), before_epoch, w + " (failed call)"); - expect_balanced(fg, w + " (failed call)"); - // A clean retry is the reference call (no poisoned per-thread scratch). - expect_same(p.place(sc.call), want, w + " (retry)"); - expect_same(ledger_state(fg), after, w + " (retry)"); - expect_same(epoch(p), want_epoch, w + " (retry)"); - expect_balanced(fg, w + " (retry)"); - p.remove(); - expect_same(ledger_state(fg), removed, w + " (remove)"); - if (::testing::Test::HasFailure()) return; - } + // A third party's 1-unit EqualBalanced placement on the same bundle, then the policy's + // earlier calls. + const auto setup = [&](FlowLedger& fg) { + auto third = std::make_shared(fg, c.src, c.dst, dag, FlowPlacement::EqualBalanced, + Admission::Lossless, EdgePriority::Residual); + (void)third->place(1); + auto p = std::make_shared(fg, c.src, c.dst, dag, k.placement, k.admission, k.priority); + for (auto v : sc.before) (void)p->place(v); + FlowPolicy* policy = &p->policy(); + return Staged {std::make_shared, std::shared_ptr>>( + std::move(third), std::move(p)), + policy}; + }; + const long injected = + sweep_placement(c.g, where, setup, [&](FlowPolicy& p) { return p.place(sc.call); }); + if (::testing::Test::HasFailure()) return; + EXPECT_GT(injected, 2) << where; // not vacuous: every placement allocates } } } - EXPECT_EQ(sweeps, 3 * 6 * 4); - EXPECT_GT(injected, sweeps * 5); // not vacuous: every placement allocates } +// A failed policy construction binds nothing, changes nothing and leaks nothing (the thread's +// scratch is already grown by a clean construction of the same policy, so every allocation the +// failed one leaves live is a leak). TEST(LedgerFaults, PolicyConstructionFailsWithoutBinding) { for (const auto& c : cases()) { const auto dag = all_edges(*c.g); for (const auto& k : kernels()) { + { + FlowLedger warm(c.g); + (void)PinnedOne(warm, c.src, c.dst, dag, k.placement, k.admission, k.priority).place(1); + } + long injected = 0; for (long at = 0;; ++at) { + const std::string w = c.name + " construction allocation " + std::to_string(at); FlowLedger fg(c.g); { PinnedOne other(fg, c.src, c.dst, dag, FlowPlacement::EqualBalanced, Admission::Lossless, @@ -251,75 +346,303 @@ TEST(LedgerFaults, PolicyConstructionFailsWithoutBinding) { } // an orphan const LedgerState before = ledger_state(fg); std::optional p; + const long live = g_live.load(); if (!fails_at(at, [&] { p.emplace(fg, c.src, c.dst, dag, k.placement, k.admission, k.priority); })) { EXPECT_EQ(LedgerAccess::bound_owners(fg).size(), 1U); break; } - expect_same(ledger_state(fg), before, c.name + " construction allocation " + std::to_string(at)); - EXPECT_FALSE(p.has_value()); + ++injected; + expect_same(ledger_state(fg), before, w); + EXPECT_FALSE(p.has_value()) << w; + EXPECT_EQ(g_live.load(), live) << w << ": a leak"; + if (::testing::Test::HasFailure()) return; } + EXPECT_GT(injected, 0) << c.name; // not vacuous } } } -// review-1b-fixes N1: the per-thread scratch of the plan builders and of the commit grows with -// the graph. Every position fails on a graph larger than any before it in this process, so the -// failure lands while the scratch grows; the failed call changes nothing and a clean retry on the -// same graph works (ASan/UBSan builds report any access outside a partly grown array). -TEST(LedgerFaults, ScratchGrowthFailureLeavesNothingHalfGrown) { - int failures = 0; - std::int32_t n = 200; - // Construction (the route plan's per-node scratch): one edge between the last two nodes. - for (long at = 0;; ++at, n += 150) { - auto g = std::make_shared(make_graph(n, {{n - 2, n - 1, 3, 1}})); - const auto dag = all_edges(*g); - FlowLedger fg(g); - std::optional p; - const bool failed = fails_at(at, [&] { - p.emplace(fg, n - 2, n - 1, dag, FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); - }); - if (failed) { - ++failures; - EXPECT_FALSE(p.has_value()); - EXPECT_TRUE(LedgerAccess::bound_owners(fg).empty()); - p.emplace(fg, n - 2, n - 1, dag, FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); +// reset() and reset(residual) build the new baseline before they change anything: a failure at +// any of their allocations leaves the orphaned records, the aggregate, the baseline and the next +// FlowId as they were, and the completing call gives the reference reset state. +TEST(LedgerFaults, EveryAllocationOfAResetFailsAtomically) { + for (const auto& c : cases()) { + const auto dag = all_edges(*c.g); + const auto with_orphan = [&] { + auto fg = std::make_unique(c.g); + // The policy is destroyed without remove(): its record is an orphan. + (void)PinnedOne(*fg, c.src, c.dst, dag, FlowPlacement::EqualBalanced, Admission::Lossless, + EdgePriority::Residual) + .place(2); + return fg; + }; + const std::vector half = [&] { + std::vector r(c.g->capacity_units().begin(), c.g->capacity_units().end()); + for (auto& x : r) x /= 2; + return r; + }(); + for (const bool to_capacities : {true, false}) { + const std::string where = c.name + (to_capacities ? " reset()" : " reset(residual)"); + const auto reset = [&](FlowLedger& fg) { + if (to_capacities) { + fg.reset(); + } else { + fg.reset(half); + } + }; + const auto ref = with_orphan(); + const LedgerState initial = ledger_state(*ref); + ASSERT_FALSE(initial.records.empty()) << where; // something to clear + reset(*ref); + const LedgerState want = ledger_state(*ref); + EXPECT_EQ(want.residual, to_capacities ? std::vector(c.g->capacity_units().begin(), + c.g->capacity_units().end()) + : half) + << where; + long injected = 0; + for (long at = 0;; ++at) { + const std::string w = where + " allocation " + std::to_string(at); + // The attempt's ledger ends with it (the reference above grew this thread's scratch), so + // an allocation left live is a leak of the failed reset. + const long live = g_live.load(); + bool failed = false; + { + const auto fg = with_orphan(); + expect_same(ledger_state(*fg), initial, w + " (setup)"); + failed = fails_at(at, [&] { reset(*fg); }); + if (!failed) { + expect_same(ledger_state(*fg), want, w + " (no failure)"); + } else { + ++injected; + expect_same(ledger_state(*fg), initial, w + " (failed call)"); + // A clean retry is the reference reset. + reset(*fg); + expect_same(ledger_state(*fg), want, w + " (retry)"); + } + } + EXPECT_EQ(g_live.load(), live) << w << ": a leak"; + if (!failed) break; + if (::testing::Test::HasFailure()) return; + } + EXPECT_GT(injected, 0) << where; // not vacuous: the new baseline is allocated + } + } +} + +// A failed construction of a ledger, from the capacities or from a residual, builds nothing and +// leaks nothing; the completing one holds the expected baseline and nothing else. +TEST(LedgerFaults, EveryAllocationOfALedgerConstructionFailsWithoutALeak) { + for (const auto& c : cases()) { + const std::vector capacities(c.g->capacity_units().begin(), c.g->capacity_units().end()); + std::vector half = capacities; + for (auto& x : half) x /= 2; + for (const bool from_residual : {false, true}) { + const std::string where = c.name + (from_residual ? " FlowLedger(graph, residual)" : " FlowLedger(graph)"); + long injected = 0; + for (long at = 0;; ++at) { + const std::string w = where + " allocation " + std::to_string(at); + std::optional fg; + const long live = g_live.load(); + if (!fails_at(at, [&] { + if (from_residual) { + fg.emplace(c.g, half); + } else { + fg.emplace(c.g); + } + })) { + ASSERT_TRUE(fg.has_value()) << w; + EXPECT_EQ(fg->residual(), from_residual ? half : capacities) << w; + EXPECT_EQ(fg->allocated(), std::vector(capacities.size(), 0)) << w; + EXPECT_TRUE(fg->records().empty()) << w; + break; + } + ++injected; + EXPECT_FALSE(fg.has_value()) << w; + EXPECT_EQ(g_live.load(), live) << w << ": a leak"; + if (::testing::Test::HasFailure()) return; + } + EXPECT_GE(injected, 2) << where; // the baseline and the aggregate (MSVC's maps add their own) } - EXPECT_EQ(p->place(2).placed, 2) << "construction allocation " << at; - expect_balanced(fg, "construction allocation " + std::to_string(at)); - p->remove(); - EXPECT_EQ(fg.allocated()[0], 0); - if (!failed) break; } - // Placement (the commit's per-edge scratch and the kernels' buffers): a chain of n - 1 edges. - for (long at = 0;; ++at, n += 150) { - std::vector chain; - for (NodeId v = 0; v + 1 < n; ++v) chain.push_back({v, v + 1, 5, 1}); - auto g = std::make_shared(make_graph(n, chain)); - const auto dag = all_edges(*g); - FlowLedger fg(g); - PinnedOne p(fg, 0, n - 1, dag, FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); - const LedgerState before = ledger_state(fg); - PlacementResult got; - const bool failed = fails_at(at, [&] { got = p.place(2); }); - if (failed) { - ++failures; - expect_same(ledger_state(fg), before, "placement allocation " + std::to_string(at)); - got = p.place(2); +} + +// A failed copy of a ledger constructs nothing, leaks nothing and leaves the source as it was; +// the completing copy holds the source's records, aggregate, baseline, next FlowId and owners, +// and so does the moved-to ledger. A move moves every member, so it allocates nothing with libc++ +// and libstdc++ (MSVC's maps allocate a new empty node when constructed): any allocation it makes +// comes before it changes the source. +TEST(LedgerFaults, EveryAllocationOfALedgerCopyOrMoveFailsWithoutALeak) { + for (const auto& c : cases()) { + const auto dag = all_edges(*c.g); + // A baseline below the capacities: a ledger that rebuilt its baseline from them would differ. + std::vector half(c.g->capacity_units().begin(), c.g->capacity_units().end()); + for (auto& x : half) x /= 2; + FlowLedger fg(c.g, half); + { + PinnedOne first(fg, c.src, c.dst, dag, FlowPlacement::EqualBalanced, Admission::Lossless, + EdgePriority::Residual); + (void)first.place(1); + PinnedOne second(fg, c.src, c.dst, dag, FlowPlacement::Weighted, Admission::Lossy, EdgePriority::Capacity); + (void)second.place(2); + } // two orphans: a copy may only be taken of a ledger without bound policies + const LedgerState source = ledger_state(fg); + const auto baseline_of = [](const FlowLedger& x) { + const auto b = LedgerAccess::baseline(x); + return std::vector(b.begin(), b.end()); + }; + const std::vector source_baseline = baseline_of(fg); + const auto fg_uid = fg.uid(); + ASSERT_EQ(source.records.size(), 2U) << c.name; + long injected = 0; + for (long at = 0;; ++at) { + const std::string w = c.name + " allocation " + std::to_string(at); + std::optional copy; + const long live = g_live.load(); + if (!fails_at(at, [&] { copy.emplace(fg); })) { + ASSERT_TRUE(copy.has_value()) << w; + EXPECT_NE(copy->uid(), fg.uid()) << w; + expect_same(ledger_state(*copy), source, w + " (copy)"); + EXPECT_EQ(baseline_of(*copy), source_baseline) << w << " (copy)"; + break; + } + ++injected; + EXPECT_FALSE(copy.has_value()) << w; + EXPECT_EQ(g_live.load(), live) << w << ": a leak"; + expect_same(ledger_state(fg), source, w + " (source)"); + if (::testing::Test::HasFailure()) return; + } + EXPECT_GT(injected, 2) << c.name; // not vacuous: the baseline, the aggregate and the records + for (long at = 0;; ++at) { + const std::string w = c.name + " move, allocation " + std::to_string(at); + std::optional moved; + const long live = g_live.load(); + if (!fails_at(at, [&] { moved.emplace(std::move(fg)); })) { + ASSERT_TRUE(moved.has_value()) << w; + EXPECT_EQ(moved->uid(), fg_uid) << w; + EXPECT_THROW((void)fg.records(), std::logic_error) << w; // a moved-from ledger is unusable + // Everything the source held: the records, the aggregate, the baseline, the next FlowId + // and the owners (the uid is kept, so the records' FlowIds compare as they are). + expect_same(ledger_state(*moved), source, w + " (moved)"); + EXPECT_EQ(baseline_of(*moved), source_baseline) << w << " (moved)"; + moved->reset(); // the moved ledger works + break; + } + EXPECT_FALSE(moved.has_value()) << w; + EXPECT_EQ(g_live.load(), live) << w << ": a leak"; + expect_same(ledger_state(fg), source, w + " (source)"); + if (::testing::Test::HasFailure()) return; } - EXPECT_EQ(got.placed, 2) << "placement allocation " << at; - expect_balanced(fg, "placement allocation " + std::to_string(at)); - p.remove(); // ids are not reused: only the aggregate and the records return - EXPECT_EQ(fg.allocated(), before.allocated) << "placement allocation " << at; - EXPECT_TRUE(fg.records().empty()); - if (!failed) break; } - EXPECT_GT(failures, 4); // not vacuous } -// The bimodality guard (NOTES "Bimodality"): NodeMap::add runs once per edge endpoint in the -// flow core's subset solve. It must stay allocation-free (reset() sizes both arrays) so that it -// stays a few inlined instructions: the push_back version was an out-of-line call whose register -// save/restore stalled in some process layouts. +// The per-thread scratch of the plan builders and of the commit grows with the graph. Each +// attempt runs on a new thread (its scratch empty) that first serves a 3-node graph, then the +// swept call on a larger one, so every allocation of that call fails once while its scratch grows +// from the small size; the failed call changes nothing, and a clean retry on the same graph (or +// the call itself, once no failure is reached) and then a placement give the reference's ledger, +// epoch and result (ASan/UBSan builds report any access outside a partly grown array). The same +// call on a new thread whose scratch has first grown to the large graph allocates less: the sweep +// reached the growth. +TEST(LedgerFaults, ScratchGrowthFailureLeavesNothingHalfGrown) { + const auto small = chain_graph(3, 5); + const auto small_dag = all_edges(*small); + const auto large = chain_graph(3000, 5); + const auto dag = all_edges(*large); + const std::int32_t n = large->num_nodes(); + const auto policy = [&](FlowLedger& fg) { + return PinnedOne(fg, 0, n - 1, dag, FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); + }; + // The reference, without a failure: the empty ledger, the ledger and epoch right after the + // construction, and the result, ledger and epoch of place(2). + LedgerState fresh; + LedgerState built; + Epoch built_epoch; + PlacementResult want; + LedgerState want_state; + Epoch want_epoch; + { + FlowLedger fg(large); + fresh = ledger_state(fg); + PinnedOne p = policy(fg); + built = ledger_state(fg); + built_epoch = epoch(p.policy()); + want = p.place(2); + want_state = ledger_state(fg); + want_epoch = epoch(p.policy()); + } + ASSERT_EQ(want.placed, 2); // the whole chain carries the request: the comparison is not of zeros + ASSERT_EQ(want_state.records.size(), 1U); + // Construction (the route plan's per-node scratch) and a placement (the commit's per-edge + // scratch and the kernels' buffers) on the small graph. + const auto warm_up = [&] { + FlowLedger fg(small); + PinnedOne p(fg, 0, 2, small_dag, FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); + EXPECT_EQ(p.place(2).placed, 2); + }; + sweep_scratch_growth( + "construction", warm_up, + [&](long at, const std::string& w) { + FlowLedger fg(large); + std::optional p; + const bool failed = fails_at(at, [&] { p.emplace(policy(fg)); }); + if (failed) { + EXPECT_FALSE(p.has_value()) << w; + expect_same(ledger_state(fg), fresh, w); // nothing bound + p.emplace(policy(fg)); + } + expect_same(ledger_state(fg), built, w); + expect_same(epoch(p->policy()), built_epoch, w); + expect_same(p->place(2), want, w); + expect_same(ledger_state(fg), want_state, w); + expect_same(epoch(p->policy()), want_epoch, w); + expect_balanced(fg, w); + return failed; + }, + [&] { + FlowLedger fg(large); + std::optional p(policy(fg)); + (void)p->place(2); // the scratch grows to the large graph + p->remove(); + p.reset(); + long warm = 0; + while (fails_at(warm, [&] { p.emplace(policy(fg)); })) ++warm; + return warm; + }); + sweep_scratch_growth( + "placement", warm_up, + [&](long at, const std::string& w) { + FlowLedger fg(large); + PinnedOne p = policy(fg); + const LedgerState before = ledger_state(fg); + const Epoch before_epoch = epoch(p.policy()); + PlacementResult got; + const bool failed = fails_at(at, [&] { got = p.place(2); }); + if (failed) { + expect_same(ledger_state(fg), before, w); + expect_same(epoch(p.policy()), before_epoch, w); + got = p.place(2); + } + expect_same(got, want, w); + expect_same(ledger_state(fg), want_state, w); + expect_same(epoch(p.policy()), want_epoch, w); + expect_balanced(fg, w); + return failed; + }, + [&] { + FlowLedger fg(large); + PinnedOne p = policy(fg); + (void)p.place(2); // the scratch grows to the large graph + p.remove(); + long warm = 0; + while (fails_at(warm, [&] { (void)p.place(2); })) ++warm; + return warm; + }); +} + +// The flow core's NodeMap::add runs once per edge endpoint in its subset solve. reset() sizes both +// of its arrays, so add() never allocates and is noexcept: it stays a few inlined instructions (an +// out-of-line call there made the solve's timing switch between two levels from one build to the +// next). static_assert(noexcept(std::declval().add(NodeId {0}))); TEST(LedgerFaults, NodeMapAddNeverAllocates) { @@ -343,16 +666,26 @@ TEST(LedgerFaults, RemovalAndReleaseNeverAllocate) { for (const auto& k : kernels()) { FlowLedger fg(c.g); auto p = std::make_unique(fg, c.src, c.dst, dag, k.placement, k.admission, k.priority); - (void)p->place(3); - // remove() and the destructor (the records become orphans) make no allocation. - EXPECT_FALSE(fails_at(0, [&] { p->remove(); })); - (void)p->place(2); - const LedgerState held = ledger_state(fg); - EXPECT_FALSE(fails_at(0, [&] { p.reset(); })); - const LedgerState orphaned = ledger_state(fg); - EXPECT_EQ(orphaned.allocated, held.allocated); - EXPECT_TRUE(orphaned.bound.empty()); - EXPECT_EQ(orphaned.orphans.size(), 1U); + expect_removal_and_release_allocate_nothing(fg, p, c.name + " kernel " + std::to_string(static_cast(k.placement))); } } } + +TEST(LedgerFaults, PlacementSweepRejectsAPartialCommit) { + const auto g = shared(make_graph(3, {{0, 1, 10, 1}, {1, 2, 10, 1}})); + const auto setup = [](FlowLedger& fg) { + auto p = std::make_shared(fg, std::vector {0}, std::vector {2}, cost_only_config()); + return Staged {p, p.get()}; + }; + long reached = 0; + EXPECT_EQ(failures_of([&] { + reached = sweep_placement(g, "one call", setup, [](FlowPolicy& p) { return p.place(2); }); + }), 0); + EXPECT_GT(reached, 0); + EXPECT_GT(failures_of([&] { + (void)sweep_placement(g, "partial commit", setup, [](FlowPolicy& p) { + (void)p.place(1); + return p.place(1); + }); + }), 0); +} diff --git a/tests/cpp/flow_ledger_tests.cpp b/tests/cpp/flow_ledger_tests.cpp index d1d1fd2..fda6f22 100644 --- a/tests/cpp/flow_ledger_tests.cpp +++ b/tests/cpp/flow_ledger_tests.cpp @@ -1,6 +1,8 @@ -// The integer ledger FlowLedger (APPROACH 8): the baseline, snapshots, FlowIds, bottleneck, and +// The integer ledger FlowLedger: the baseline, snapshots, FlowIds, bottleneck, and // every row and transition of the lifetime table, driven through a FlowPolicy with Pinned -// routing and one bundle (test::PinnedOne, pinned_one.hpp). +// routing and one bundle (test::PinnedOne, pinned_one.hpp); the 128-bit counters of the records; +// and the commit rule itself (each edge published once, the multi-owner model, the fresh-record +// path), driven through detail::LedgerAccess directly. // // | State | place | remove() | destroyed | reset | copy | // | bound, no flows | place(0) no-op; positive | resets the epoch | none | rejected | rejected | @@ -20,6 +22,7 @@ #include #include #include +#include #include #include "netgraph/core/detail/int128.hpp" @@ -27,6 +30,7 @@ #include "netgraph/core/detail/pred_dag_builder.hpp" #include "netgraph/core/flow_ledger.hpp" #include "pinned_one.hpp" +#include "state_comparators.hpp" #include "test_utils.hpp" using namespace netgraph::core; @@ -36,31 +40,24 @@ using netgraph::core::Termination; namespace { -std::shared_ptr shared(Graph g) { - return std::make_shared(std::move(g)); -} - -std::shared_ptr bundle(const Graph& g, std::vector edges) { - return std::make_shared(detail::PredDAGBuilder::of_edges(g, edges)); -} - -std::shared_ptr all_edges(const Graph& g) { - std::vector e(static_cast(g.num_edges())); - for (std::size_t i = 0; i < e.size(); ++i) e[i] = static_cast(i); - return bundle(g, e); -} +std::vector alloc_in(const FlowLedger& fg) { return to_input(*fg.graph(), fg.allocated()); } -std::string error_of(const std::function& fn) { +// What fn raises: the message when the exception's dynamic type is exactly std::logic_error (the +// ledger's refusals of a moved-from ledger and of a malformed commit), or a description of anything +// else (std::invalid_argument and the other standard errors derived from std::logic_error are other +// checks' refusals and must not pass for these). +std::string logic_error_of(const std::function& fn) { try { fn(); - } catch (const std::invalid_argument& e) { - return e.what(); + } catch (const std::exception& e) { + if (typeid(e) == typeid(std::logic_error)) return e.what(); + return std::string("another exception type (") + typeid(e).name() + "): " + e.what(); + } catch (...) { + return "an exception not derived from std::exception"; } - return ""; + return "no exception"; } -std::vector alloc_in(const FlowLedger& fg) { return to_input(*fg.graph(), fg.allocated()); } - } // namespace TEST(FlowLedger, BaselineValidationAndSnapshots) { @@ -68,7 +65,8 @@ TEST(FlowLedger, BaselineValidationAndSnapshots) { EXPECT_THROW(FlowLedger(g, std::vector {6}), std::invalid_argument); EXPECT_THROW(FlowLedger(g, std::vector {-1}), std::invalid_argument); EXPECT_THROW(FlowLedger(g, std::vector {1, 1}), std::invalid_argument); - EXPECT_THROW(FlowLedger(nullptr), std::invalid_argument); + EXPECT_EQ(error_of([] { FlowLedger fg(nullptr); }), "FlowLedger: graph is null"); + EXPECT_EQ(error_of([] { FlowLedger fg(nullptr, std::vector {}); }), "FlowLedger: graph is null"); FlowLedger fg(g, std::vector {3}); EXPECT_EQ(fg.residual(), (std::vector{3})); EXPECT_EQ(fg.allocated(), (std::vector{0})); @@ -77,6 +75,52 @@ TEST(FlowLedger, BaselineValidationAndSnapshots) { EXPECT_EQ(fg.graph().get(), g.get()); FlowLedger other(g); EXPECT_NE(fg.uid(), other.uid()); + EXPECT_EQ(other.residual(), (std::vector{5})); // no baseline: the capacities + // Either constructor shares the ownership of the graph: it lives while the ledger does. + for (const bool with_baseline : {false, true}) { + auto owned = shared(make_graph(2, {{0, 1, 5, 1}})); + const std::weak_ptr watch = owned; + const FlowLedger held = with_baseline ? FlowLedger(owned, std::vector {3}) : FlowLedger(owned); + owned.reset(); + EXPECT_FALSE(watch.expired()) << with_baseline; + EXPECT_EQ(held.graph()->num_edges(), 1) << with_baseline; + } +} + +// A baseline with one or several defects (one error, from the shared edge-amount check): its length +// before any entry, then its first entry outside [0, capacity] in EdgeId order, at construction +// and at reset; a bound policy is reported before the baseline, and a rejected reset changes +// nothing (records, allocation, baseline, the next FlowId). +TEST(FlowLedger, BaselineDefectsReportTheFirstInOrder) { + const auto g = shared(edge_amount_graph()); + for (const auto& c : edge_amount_defects()) { + EXPECT_EQ(error_of([&] { FlowLedger fg(g, c.amounts); }), "residual" + c.error); + } + FlowLedger fg(g); + { + PinnedOne q(fg, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); + ASSERT_EQ(q.place(1).placed, 1); + for (const auto& c : edge_amount_defects()) { + EXPECT_EQ(error_of([&] { fg.reset(c.amounts); }), "FlowLedger.reset is rejected while a policy is bound (1 bound)"); + } + } // destroyed without remove(): the record stays as an orphan + const auto records = fg.records(); + const auto allocated = fg.allocated(); + const auto residual = fg.residual(); + ASSERT_EQ(records.size(), 1U); + for (const auto& c : edge_amount_defects()) { + EXPECT_EQ(error_of([&] { fg.reset(c.amounts); }), "residual" + c.error); + ASSERT_EQ(fg.records().size(), 1U); + EXPECT_EQ(fg.records()[0].flow_id, records[0].flow_id); + EXPECT_EQ(fg.allocated(), allocated); + EXPECT_EQ(fg.residual(), residual); + EXPECT_EQ(LedgerAccess::next_flow_id(fg), 1); + } + fg.reset(edge_amounts_at_the_bounds()); + EXPECT_TRUE(fg.records().empty()); + EXPECT_EQ(fg.residual(), edge_amounts_at_the_bounds()); + fg.reset(); // no baseline: back to the capacities + EXPECT_EQ(fg.residual(), vec(g->capacity_units())); } TEST(FlowLedger, BoundNoFlowsRow) { @@ -90,10 +134,12 @@ TEST(FlowLedger, BoundNoFlowsRow) { EXPECT_TRUE(fg.records().empty()); EXPECT_EQ(LedgerAccess::next_flow_id(fg), 0); // reset and copy rejected while a policy is bound; move rejected too. - EXPECT_NE(error_of([&] { fg.reset(); }).find("bound"), std::string::npos); - EXPECT_THROW(FlowLedger copy(fg), std::invalid_argument); - EXPECT_THROW(FlowLedger moved(std::move(fg)), std::invalid_argument); - // remove() with no flows: no allocation to revert; the epoch state resets. + EXPECT_EQ(error_of([&] { fg.reset(); }), "FlowLedger.reset is rejected while a policy is bound (1 bound)"); + EXPECT_EQ(error_of([&] { FlowLedger copy(fg); }), "FlowLedger: a ledger with bound policies cannot be copied"); + EXPECT_EQ(error_of([&] { FlowLedger moved(std::move(fg)); }), + "FlowLedger: a ledger with bound policies cannot be moved"); + // remove() with no flows and no request: nothing to revert, the epoch stays empty (the reset of a + // recorded request without flows: NoRouteCallsRecordTheEpochState). p.remove(); EXPECT_TRUE(fg.records().empty()); EXPECT_FALSE(p.infinite()); @@ -136,32 +182,50 @@ TEST(FlowLedger, BoundWithFlowsRowAndEpochs) { FlowLedger fg(g); PinnedOne p(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); EXPECT_EQ(p.place(2).placed, 2); - // Adds: T grows within the epoch. + // Adds: the requested total grows within the epoch. auto r = p.place(std::nullopt); EXPECT_EQ(r.placed, 3); EXPECT_EQ(r.termination, Termination::Exhausted); EXPECT_FALSE(r.remaining.has_value()); EXPECT_TRUE(p.infinite()); // A finite request after +inf is rejected within the epoch, place(0) included (validation - // precedes the zero shortcut); the state is unchanged. + // precedes the zero shortcut); the requested total, the +inf flag, the flow and the + // allocations are unchanged. + const Counter128 requested = p.requested(); + const auto id = p.flow_id(); EXPECT_NE(error_of([&] { (void)p.place(1); }).find("after +inf"), std::string::npos); EXPECT_NE(error_of([&] { (void)p.place(0); }).find("after +inf"), std::string::npos); + EXPECT_EQ(p.requested(), requested); + EXPECT_TRUE(p.infinite()); + EXPECT_EQ(p.flow_id(), id); + EXPECT_EQ(alloc_in(fg), (std::vector{5})); + // A rejected reset, copy or move of a ledger holding a record leaves the ledger as it was (the + // record, the allocations and the binding): remove() below still reverts the flow. + const LedgerState held = ledger_state(fg); + EXPECT_EQ(error_of([&] { fg.reset(); }), "FlowLedger.reset is rejected while a policy is bound (1 bound)"); + EXPECT_EQ(error_of([&] { FlowLedger copy(fg); }), "FlowLedger: a ledger with bound policies cannot be copied"); + EXPECT_EQ(error_of([&] { FlowLedger moved(std::move(fg)); }), + "FlowLedger: a ledger with bound policies cannot be moved"); + expect_same(ledger_state(fg), held, "the rejected reset, copy and move"); + EXPECT_EQ(fg.records().at(0).flow_id, *p.flow_id()); EXPECT_EQ(alloc_in(fg), (std::vector{5})); - EXPECT_NE(error_of([&] { fg.reset(); }).find("bound"), std::string::npos); - EXPECT_THROW(FlowLedger copy(fg), std::invalid_argument); // remove(): allocations reverted, record gone, id retired. const auto old = *p.flow_id(); p.remove(); EXPECT_EQ(alloc_in(fg), (std::vector{0})); EXPECT_TRUE(fg.records().empty()); - EXPECT_NE(error_of([&] { (void)fg.record(old); }).find("retired or unknown"), std::string::npos); + EXPECT_EQ(error_of([&] { (void)fg.record(old); }), + "FlowId (" + std::to_string(old.first) + ", " + std::to_string(old.second) + ") is retired or unknown"); // place(+inf); remove(); place(1) is accepted: a new epoch with a new id. r = p.place(1); EXPECT_EQ(r.placed, 1); EXPECT_TRUE(r.routes_changed); EXPECT_EQ(p.flow_id()->second, 1); - p.remove(); - p.remove(); // on an empty cohort: resets the epoch + p.remove(); // the epoch resets: the request of 1 is gone + EXPECT_TRUE(p.requested().is_zero()); + EXPECT_FALSE(p.infinite()); + p.remove(); // again, on an empty cohort: nothing changes + EXPECT_TRUE(fg.records().empty()); EXPECT_TRUE(p.requested().is_zero()); EXPECT_FALSE(p.infinite()); EXPECT_EQ(LedgerAccess::next_flow_id(fg), 2); @@ -205,16 +269,93 @@ TEST(FlowLedger, OrphanedRecordsResetAndCopy) { EXPECT_EQ(c.records()[0].delivered, 2); } -TEST(FlowLedger, MovedFromLedgerIsUnusable) { - auto g = shared(make_graph(2, {{0, 1, 5, 1}})); - FlowLedger fg(g); +// The copy and the move constructors carry everything the source holds: the baseline, the +// aggregate, every record field, the next FlowId and the owners (the orphaned ones and the id the +// next policy gets). The source holds values a new or reset ledger would not have, so a member +// left behind shows: a baseline below the capacities, a retired FlowId (the next FlowId is past +// every live one), a Lossy record with an offer and drops beside a Lossless one, and an orphaned +// owner without records. The copy has a new uid and leaves its source as it was; the move keeps +// the uid and leaves its source unusable. +TEST(FlowLedger, CopyAndMoveCarryTheWholeLedger) { + auto g = shared(make_graph(4, {{0, 1, 10, 1}, {0, 2, 10, 1}, {1, 3, 1, 1}, {2, 3, 10, 1}})); + const auto inv = id_of_input(*g); + std::vector baseline(4); + const Amount by_input[4] = {9, 8, 1, 9}; + for (std::size_t i = 0; i < 4; ++i) baseline[static_cast(inv[i])] = by_input[i]; + FlowLedger fg(g, baseline); + { + PinnedOne lossy(fg, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy, EdgePriority::Residual); + (void)lossy.place(10); // owner 0, FlowId 0: delivers 6, drops 4 on the 1 -> 3 edge + PinnedOne removed(fg, 0, 3, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + (void)removed.place(1); // owner 1, FlowId 1, retired by remove() + removed.remove(); + PinnedOne lossless(fg, 0, 3, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + (void)lossless.place(2); // owner 2, FlowId 2 + } // three orphaned owners, two records: a copy or a move needs a ledger without bound policies + const LedgerState source = ledger_state(fg); + const std::vector source_baseline = vec(LedgerAccess::baseline(fg)); + // The source is what the comment above says, so that each part below can differ. + ASSERT_EQ(source.records.size(), 2u); + EXPECT_TRUE(source.records[0].offered.has_value()); + EXPECT_EQ(source.records[0].delivered, 6); + EXPECT_EQ(source.records[0].drops, (std::vector>{{inv[2], Counter128 {0, 4}}})); + EXPECT_FALSE(source.records[1].offered.has_value()); + EXPECT_EQ(source.records[1].flow_id.second, 2); + EXPECT_EQ(source.next_id, 3); + EXPECT_TRUE(source.bound.empty()); + EXPECT_EQ(source.orphans, (std::vector{0, 1, 2})); + EXPECT_NE(source_baseline, vec(g->capacity_units())); + EXPECT_NE(source.allocated, std::vector(4, 0)); + + // Everything the source held, then the next policy: it gets the next owner id (3) and the next + // FlowId. + auto expect_whole = [&](FlowLedger& x, const std::string& what) { + expect_same(ledger_state(x), source, what); + EXPECT_EQ(vec(LedgerAccess::baseline(x)), source_baseline) << what; + PinnedOne next(x, 0, 3, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + EXPECT_EQ(next.place(1).placed, 1) << what; + ASSERT_TRUE(next.flow_id().has_value()) << what; + EXPECT_EQ(next.flow_id()->second, source.next_id) << what; + EXPECT_EQ(x.record(*next.flow_id()).owner, 3) << what; + EXPECT_EQ(LedgerAccess::bound_owners(x), (std::vector{3})) << what; + next.remove(); + }; + + FlowLedger copy(fg); + EXPECT_NE(copy.uid(), fg.uid()); + expect_same(ledger_state(fg), source, "the source after the copy"); + expect_whole(copy, "the copy"); + expect_same(ledger_state(fg), source, "the source after a placement on the copy"); + + const auto uid = fg.uid(); FlowLedger moved(std::move(fg)); - EXPECT_THROW((void)fg.uid(), std::logic_error); - EXPECT_THROW((void)fg.records(), std::logic_error); - EXPECT_THROW((void)fg.residual(), std::logic_error); - EXPECT_THROW(fg.reset(), std::logic_error); - EXPECT_THROW((void)LedgerAccess::bind(fg), std::logic_error); - EXPECT_EQ(moved.residual(), (std::vector{5})); + EXPECT_EQ(moved.uid(), uid); + expect_whole(moved, "the move"); + // Every call on the moved-from ledger raises the moved-from refusal (the copy and the move of + // it included), never a result or another check's error. + // NOLINTBEGIN(bugprone-use-after-move): the documented moved-from state. + const FlowId some {uid, 0}; + const std::vector sources {0}; + const std::vector baseline_again(4, 1); + const std::vector>> calls = { + {"uid", [&] { (void)fg.uid(); }}, + {"graph", [&] { (void)fg.graph(); }}, + {"capacity_units", [&] { (void)fg.capacity_units(); }}, + {"residual", [&] { (void)fg.residual(); }}, + {"allocated", [&] { (void)fg.allocated(); }}, + {"records", [&] { (void)fg.records(); }}, + {"record", [&] { (void)fg.record(some); }}, + {"bottleneck", [&] { (void)fg.bottleneck(sources); }}, + {"reset", [&] { fg.reset(); }}, + {"reset(residual)", [&] { fg.reset(baseline_again); }}, + {"copy", [&] { FlowLedger again(fg); }}, + {"move", [&] { FlowLedger again(std::move(fg)); }}, + {"bind", [&] { (void)LedgerAccess::bind(fg); }}, + }; + for (const auto& [name, call] : calls) { + EXPECT_EQ(logic_error_of(call), "FlowLedger: a moved-from ledger is empty and unusable") << name; + } + // NOLINTEND(bugprone-use-after-move) } TEST(FlowLedger, FlowIdsOfOtherLedgersAndUnknownIds) { @@ -224,12 +365,24 @@ TEST(FlowLedger, FlowIdsOfOtherLedgersAndUnknownIds) { (void)p.place(1); const auto id = *p.flow_id(); EXPECT_EQ(a.record(id).delivered, 1); - EXPECT_NE(error_of([&] { (void)b.record(id); }).find("another ledger"), std::string::npos); - EXPECT_NE(error_of([&] { (void)a.record(FlowId {a.uid(), 7}); }).find("retired or unknown"), std::string::npos); + EXPECT_EQ(error_of([&] { (void)b.record(id); }), "FlowId (" + std::to_string(a.uid()) + ", " + std::to_string(id.second) + + ") belongs to another ledger (uid " + std::to_string(b.uid()) + ")"); + EXPECT_EQ(error_of([&] { (void)a.record(FlowId {a.uid(), 7}); }), + "FlowId (" + std::to_string(a.uid()) + ", 7) is retired or unknown"); + // A policy's record() reads its own records only: another policy's record of the same ledger is + // refused, and the ledger's own checks come first. + PinnedOne q(a, 0, 1, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + EXPECT_EQ(p.policy().record(id).delivered, 1); + EXPECT_EQ(error_of([&] { (void)q.policy().record(id); }), + "FlowId (" + std::to_string(a.uid()) + ", " + std::to_string(id.second) + ") is not a record of this policy"); + EXPECT_EQ(error_of([&] { (void)q.policy().record(FlowId {b.uid(), id.second}); }), + "FlowId (" + std::to_string(b.uid()) + ", " + std::to_string(id.second) + ") belongs to another ledger (uid " + + std::to_string(a.uid()) + ")"); } TEST(FlowLedger, RecordsCarryTheContractFields) { - // Lossy EqualBalanced on the diamond 10/10/1/10 (prototype 1 lossy_diamond): 10 then 1. + // Lossy EqualBalanced on the diamond 10/10/1/10: 10 then 1 (the reference fixture + // lossy_diamond_10_then_1, tests/reference/policy/p2_transaction/fixtures.py). auto g = shared(make_graph(4, {{0, 1, 10, 1}, {0, 2, 10, 1}, {1, 3, 1, 1}, {2, 3, 10, 1}})); const auto inv = id_of_input(*g); FlowLedger fg(g); @@ -242,6 +395,8 @@ TEST(FlowLedger, RecordsCarryTheContractFields) { EXPECT_EQ(r.placed, 0); EXPECT_EQ(r.termination, Termination::Complete); EXPECT_EQ(*r.remaining, 1); + // The call's own drops; the record keeps the cumulative 4 + 1 below. + EXPECT_EQ(r.drops, (std::vector>{{inv[2], 1}})); EXPECT_EQ(alloc_in(fg), (std::vector{6, 5, 1, 5})); const auto rec = fg.records().at(0); EXPECT_EQ(rec.flow_id, (FlowId {fg.uid(), 0})); @@ -255,18 +410,18 @@ TEST(FlowLedger, RecordsCarryTheContractFields) { EXPECT_TRUE(*rec.bundle == *all_edges(*g)); EXPECT_EQ(rec.route_cost, 2); ASSERT_TRUE(rec.offered.has_value()); - EXPECT_EQ(rec.offered->lo, 11u); + EXPECT_EQ(*rec.offered, (Counter128 {0, 11})); EXPECT_EQ(rec.delivered, 6); ASSERT_EQ(rec.drops.size(), 1u); EXPECT_EQ(rec.drops[0].first, inv[2]); - EXPECT_EQ(rec.drops[0].second.lo, 5u); + EXPECT_EQ(rec.drops[0].second, (Counter128 {0, 5})); // +inf on a fresh ledger: offered is the injection (20), delivered 11, drops 9. FlowLedger f2(g); PinnedOne q(f2, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy, EdgePriority::Residual); r = q.place(std::nullopt); EXPECT_EQ(r.placed, 11); EXPECT_EQ(r.termination, Termination::Exhausted); - EXPECT_EQ(f2.records()[0].offered->lo, 20u); + EXPECT_EQ(*f2.records()[0].offered, (Counter128 {0, 20})); // Lossless records carry no offered. FlowLedger f3(g); PinnedOne m(f3, 0, 3, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); @@ -276,8 +431,8 @@ TEST(FlowLedger, RecordsCarryTheContractFields) { } TEST(FlowLedger, CountersBeyondSixtyFourBits) { - // Prototype 1 lossy_oversized_and_saturated_offers: every unit of a 2^62 - 1 offer dropped on - // a saturated link, many times: offered and drops grow beyond 2^64. + // Oversized offers on a link of capacity 1: of nine 2^62 - 1 offers one unit is delivered and + // every other unit dropped: offered and drops grow beyond 2^64. auto g = shared(make_graph(2, {{0, 1, 1, 1}})); FlowLedger fg(g); PinnedOne p(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy, EdgePriority::Residual); @@ -285,12 +440,10 @@ TEST(FlowLedger, CountersBeyondSixtyFourBits) { for (int i = 0; i < 9; ++i) (void)p.place(big); const auto rec = fg.records().at(0); // offered = 9 (2^62 - 1) = 2^65 + 2^62 - 9 - EXPECT_EQ(rec.offered->hi, 2u); - EXPECT_EQ(rec.offered->lo, (std::uint64_t {1} << 62) - 9); + EXPECT_EQ(*rec.offered, (Counter128 {2, (std::uint64_t {1} << 62) - 9})); EXPECT_EQ(rec.delivered, 1); - EXPECT_EQ(rec.drops[0].second.hi, 2u); - EXPECT_EQ(rec.drops[0].second.lo, (std::uint64_t {1} << 62) - 10); - EXPECT_EQ(p.requested().hi, 2u); + EXPECT_EQ(rec.drops[0].second, (Counter128 {2, (std::uint64_t {1} << 62) - 10})); + EXPECT_EQ(p.requested(), (Counter128 {2, (std::uint64_t {1} << 62) - 9})); // the offers' total } // The public counter is self-contained (flow_record.hpp): its own hi and lo, no base class from @@ -333,36 +486,45 @@ TEST(FlowLedger, RequestDomainAndFailedCallsLeaveState) { FlowLedger fg(g); PinnedOne p(fg, 0, 1, all_edges(*g), FlowPlacement::Weighted, Admission::Lossless, EdgePriority::Capacity); (void)p.place(2); - const auto before = fg.records(); - EXPECT_THROW((void)p.place(kDomainLimit), std::invalid_argument); - EXPECT_THROW((void)p.place(-1), std::invalid_argument); - EXPECT_EQ(fg.records().size(), before.size()); + const LedgerState before = ledger_state(fg); + const auto id = p.flow_id(); + EXPECT_EQ(error_of([&] { (void)p.place(kDomainLimit); }), + "request 4611686018427387904 is outside [0, 2^62) units (requests are integer units or +inf)"); + EXPECT_EQ(error_of([&] { (void)p.place(-1); }), + "request -1 is outside [0, 2^62) units (requests are integer units or +inf)"); + // The failed calls changed nothing: the requested total, the +inf flag, the flow and the + // ledger (every record field, the aggregate, the residual, the next FlowId and the owners). + EXPECT_EQ(p.requested(), (Counter128 {0, 2})); + EXPECT_FALSE(p.infinite()); + EXPECT_EQ(p.flow_id(), id); + expect_same(ledger_state(fg), before, "after the rejected requests"); EXPECT_EQ(fg.allocated(), (std::vector{2})); + EXPECT_EQ(fg.residual(), (std::vector{3})); // Constructor validation. auto other = make_graph(2, {{0, 1, 5, 1}}); - EXPECT_NE(error_of([&] { - PinnedOne x(fg, 0, 1, bundle(other, {0}), FlowPlacement::MaxFlow, Admission::Lossless, + EXPECT_EQ(error_of([&] { + PinnedOne x(fg, 0, 1, dag_of(other, {0}), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); - }).find("foreign PredDAG"), - std::string::npos); - EXPECT_NE(error_of([&] { + }), + "foreign PredDAG: bundle built for another graph"); + EXPECT_EQ(error_of([&] { PinnedOne x(fg, 0, 0, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); - }).find("both endpoint sets"), - std::string::npos); - EXPECT_NE(error_of([&] { + }), + "node 0 is in both endpoint sets: sources and destinations must not overlap"); + EXPECT_EQ(error_of([&] { PinnedOne x(fg, 0, 1, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossy, EdgePriority::Residual); - }).find("Lossy"), - std::string::npos); - EXPECT_NE(error_of([&] { + }), + kLossyKernelError); + EXPECT_EQ(error_of([&] { PinnedOne x(fg, 0, 1, all_edges(*g), FlowPlacement::Weighted, Admission::Lossless, EdgePriority::Headroom); - }).find("Headroom"), - std::string::npos); + }), + kHeadroomKernelError); // A rejected construction binds nothing. EXPECT_EQ(LedgerAccess::bound_owners(fg), (std::vector{0})); } TEST(FlowLedger, BottleneckVersusMinCut) { - // Prototype 1 ledger_bottleneck_vs_min_cut: (0->1 cap 1 cost 1), (0->2 cap 2 cost 3), + // The ledger's bottleneck against the minimum cut: (0->1 cap 1 cost 1), (0->2 cap 2 cost 3), // (1->2 cap 1), (2->3 cap 2). After the MaxFlow +inf [1, 1, 1, 2] the bottleneck (forward // residual) is {0->1, 2->3}, not the cut {2->3}. auto g = shared(make_graph(4, {{0, 1, 1, 1}, {0, 2, 2, 3}, {1, 2, 1, 1}, {2, 3, 2, 1}})); @@ -374,31 +536,43 @@ TEST(FlowLedger, BottleneckVersusMinCut) { std::vector want = {inv[0], inv[3]}; std::sort(want.begin(), want.end()); EXPECT_EQ(fg.bottleneck(std::vector {0}), want); - // A zero-capacity edge at the frontier is not listed; an excluded edge is not crossed. - auto g2 = shared(make_graph(3, {{0, 1, 0, 1}, {0, 2, 1, 1}, {2, 1, 1, 1}})); - FlowLedger f2(g2); - EXPECT_TRUE(f2.bottleneck(std::vector {0}).empty()); + // The masks, on a graph whose unmasked bottleneck is not empty: (0->1 cap 1), (1->2 cap 1), + // (0->3 cap 1), (0->4 cap 0). Owner a fills 1->2 and owner b 0->3, so only 0->1 keeps a + // residual. Unmasked, the sources reach {0, 1}; the edges leaving that set are 1->2 and 0->3 + // (saturated, listed) and 0->4 (zero capacity, not listed). + auto g2 = shared(make_graph(5, {{0, 1, 1, 1}, {1, 2, 1, 1}, {0, 3, 1, 1}, {0, 4, 0, 1}})); const auto inv2 = id_of_input(*g2); - auto el = g2->eligibility({}, std::vector {inv2[2]}); - EXPECT_TRUE(f2.bottleneck(std::vector {0}, &el).empty()); // 2->1 excluded: not listed + FlowLedger f2(g2); + PinnedOne a(f2, 1, 2, dag_of(*g2, {inv2[1]}), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + PinnedOne b(f2, 0, 3, dag_of(*g2, {inv2[2]}), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + ASSERT_EQ(a.place(1).placed, 1); + ASSERT_EQ(b.place(1).placed, 1); + std::vector want2 = {inv2[1], inv2[2]}; + std::sort(want2.begin(), want2.end()); + EXPECT_EQ(f2.bottleneck(std::vector {0}), want2); + // 0->1 excluded: neither crossed (1->2 would be listed) nor listed itself; the sources reach + // only {0}, whose leaving edges are 0->1 (excluded), 0->3 (listed) and 0->4 (zero capacity). + auto el = g2->eligibility({}, std::vector {inv2[0]}); + EXPECT_EQ(f2.bottleneck(std::vector {0}, &el), (std::vector {inv2[2]})); // An excluded source contributes nothing; a foreign Eligibility throws. const std::vector xn = {0}; auto ex = g2->eligibility(xn, {}); EXPECT_TRUE(f2.bottleneck(std::vector {0}, &ex).empty()); auto other = make_graph(3, {{0, 1, 1, 1}}); auto foreign = other.eligibility({}, std::vector {0}); - EXPECT_THROW((void)f2.bottleneck(std::vector {0}, &foreign), std::invalid_argument); - EXPECT_THROW((void)f2.bottleneck(std::vector {}), std::invalid_argument); + EXPECT_EQ(error_of([&] { (void)f2.bottleneck(std::vector {0}, &foreign); }), + "foreign Eligibility: built for another graph"); + EXPECT_EQ(error_of([&] { (void)f2.bottleneck(std::vector {}); }), "sources: the node set is empty"); } TEST(FlowLedger, TwoOwnersNeverCancelEachOther) { - // Prototype 1 maxflow_two_owner_no_cross_cancellation: A holds the chain 0-1-2-3; B's bundle + // Two MaxFlow owners never cancel each other's flow: A holds the chain 0-1-2-3; B's bundle // (chain plus bypasses) could reach 2 only by cancelling A's middle edge: B places 0 (record // at zero delivery, exhausted) and A is untouched; after A's remove() B places 2. auto g = shared(make_graph(4, {{0, 1, 1, 1}, {1, 2, 1, 1}, {2, 3, 1, 1}, {0, 2, 1, 3}, {1, 3, 1, 3}})); const auto inv = id_of_input(*g); FlowLedger fg(g); - PinnedOne a(fg, 0, 3, bundle(*g, {inv[0], inv[1], inv[2]}), FlowPlacement::MaxFlow, Admission::Lossless, + PinnedOne a(fg, 0, 3, dag_of(*g, {inv[0], inv[1], inv[2]}), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); EXPECT_EQ(a.place(1).placed, 1); PinnedOne b(fg, 0, 3, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); @@ -416,9 +590,17 @@ TEST(FlowLedger, TwoOwnersNeverCancelEachOther) { TEST(FlowLedger, AggregatesEqualTheSumOfRecords) { // Random sequences of placements, removals and destructions on one ledger: allocated() is the - // exact sum of the records' edges and residual() = baseline - allocated() within [0, baseline]. + // exact sum of the records' edges and residual() = baseline - allocated() within [0, baseline], + // and every record is a flow of its own (expect_conserved, test_utils.hpp). std::mt19937 rng(5); + int delivering = 0; // placements that delivered units + int with_records = 0; // trials whose ledger held a record after some step + int removed = 0; // removals that dropped records + int orphaned = 0; // destructions that left records as orphans + int lossless_carrying = 0; // record checks of a Lossless record that carries something + int lossy_dropping = 0; // record checks of a Lossy record with drops for (int trial = 0; trial < 60; ++trial) { + bool recorded = false; const int n = 4 + static_cast(rng() % 3); std::vector edges; for (int i = 0; i < 3 * n; ++i) { @@ -443,46 +625,176 @@ TEST(FlowLedger, AggregatesEqualTheSumOfRecords) { auto& p = pols[rng() % pols.size()]; if (!p) continue; const int op = static_cast(rng() % 6); + const auto records = fg.records().size(); + const auto orphans = LedgerAccess::orphan_owners(fg).size(); if (op == 0) { p->remove(); + removed += fg.records().size() < records ? 1 : 0; } else if (op == 1) { p.reset(); + orphaned += LedgerAccess::orphan_owners(fg).size() > orphans ? 1 : 0; } else if (!p->infinite()) { - (void)p->place(op == 2 ? std::optional() : std::optional(rng() % 9)); + delivering += p->place(op == 2 ? std::optional() : std::optional(rng() % 9)).placed > 0; } - std::vector sum(static_cast(g->num_edges()), 0); - for (const auto& rec : fg.records()) { - for (const auto& [e, x] : rec.edges) sum[static_cast(e)] += x; + recorded = recorded || !fg.records().empty(); + const std::string where = "trial " + std::to_string(trial) + " step " + std::to_string(step); + expect_balanced(fg, where); + for (const auto& r : fg.records()) { + const bool carries = expect_conserved(*g, r, where + " record " + std::to_string(r.flow_id.second)); + if (r.admission == Admission::Lossless) lossless_carrying += carries ? 1 : 0; + if (r.admission == Admission::Lossy) lossy_dropping += r.drops.empty() ? 0 : 1; } - ASSERT_EQ(fg.allocated(), sum); const auto res = fg.residual(); + const auto allocated = fg.allocated(); for (std::size_t e = 0; e < res.size(); ++e) { - ASSERT_GE(res[e], 0); - ASSERT_EQ(res[e] + sum[e], g->capacity_units()[e]); + EXPECT_EQ(res[e] + allocated[e], g->capacity_units()[e]) << where << " edge " << e; } + ASSERT_FALSE(::testing::Test::HasFailure()) << where; + } + with_records += recorded; + } + // The trials did real work: a generator change that left every bundle without a walk, or every + // placement empty, would otherwise pass with nothing compared. + EXPECT_GT(delivering, 100); + EXPECT_GT(with_records, 50); + EXPECT_GT(removed, 25); + EXPECT_GT(orphaned, 40); + EXPECT_GT(lossless_carrying, 100); + EXPECT_GT(lossy_dropping, 20); +} + +// expect_conserved's clauses, each broken in a copy of a real record by a change that breaks no +// other clause: the check reports exactly that clause's violations, so a check that lost the +// clause would report fewer. The Lossless record is the max flow of the diamond 10/10/1/10 (1 unit +// over 0-1-3, 10 over 0-2-3); the Lossy one is RecordsCarryTheContractFields' record (offered 11, +// 6 delivered, 5 dropped on 1 -> 3, so offered covers what was delivered and dropped exactly). A +// drop at the source is outside the transit balance (the source's own drops are what offered +// leaves over). +TEST(FlowLedger, TheRecordCheckReportsEachBrokenClause) { + auto g = shared(make_graph(4, {{0, 1, 10, 1}, {0, 2, 10, 1}, {1, 3, 1, 1}, {2, 3, 10, 1}})); + const auto inv = id_of_input(*g); + FlowLedger f1(g); + FlowLedger f2(g); + PinnedOne max_flow(f1, 0, 3, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + ASSERT_EQ(max_flow.place(std::nullopt).placed, 11); + PinnedOne lossy(f2, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy, EdgePriority::Residual); + ASSERT_EQ(lossy.place(10).placed, 6); + ASSERT_EQ(lossy.place(1).placed, 0); + const FlowRecord lossless_record = f1.records().at(0); + const FlowRecord lossy_record = f2.records().at(0); + ASSERT_EQ(lossless_record.edges, + (std::vector> {{inv[0], 1}, {inv[1], 10}, {inv[2], 1}, {inv[3], 10}})); + ASSERT_EQ(lossless_record.delivered, 11); + ASSERT_EQ(lossy_record.edges, + (std::vector> {{inv[0], 6}, {inv[1], 5}, {inv[2], 1}, {inv[3], 5}})); + ASSERT_EQ(lossy_record.drops, (std::vector> {{inv[2], Counter128 {0, 5}}})); + ASSERT_EQ(lossy_record.offered, (std::optional {Counter128 {0, 11}})); + ASSERT_EQ(lossy_record.delivered, 6); + // The amount on the edge of input position i. + auto on = [&](FlowRecord& r, std::size_t i) -> Amount& { + const auto it = std::find_if(r.edges.begin(), r.edges.end(), [&](const auto& x) { return x.first == inv[i]; }); + if (it == r.edges.end()) throw std::logic_error("the record has no amount on that edge"); + return it->second; + }; + bool carries = false; + EXPECT_EQ(failures_of([&] { carries = expect_conserved(*g, lossless_record, "lossless"); }), 0); + EXPECT_TRUE(carries); + EXPECT_EQ(failures_of([&] { carries = expect_conserved(*g, lossy_record, "lossy"); }), 0); + EXPECT_TRUE(carries); + FlowRecord empty = lossless_record; + empty.edges.clear(); + empty.delivered = 0; + EXPECT_EQ(failures_of([&] { carries = expect_conserved(*g, empty, "empty"); }), 0); + EXPECT_FALSE(carries); + + struct Broken { + std::string clause; + std::function change; + int failures; + }; + const std::vector lossless_cases = { + {"positive edge amounts (the path 0-1-3 emptied, delivered with it)", + [&](FlowRecord& r) { + on(r, 0) = 0; + on(r, 2) = 0; + r.delivered -= 1; + }, + 2}, + {"edges in ascending EdgeId", [](FlowRecord& r) { std::swap(r.edges[0], r.edges[1]); }, 1}, + {"offered only on a Lossy record", [](FlowRecord& r) { r.offered = Counter128 {0, 11}; }, 1}, + {"drops only on a Lossy record", [&](FlowRecord& r) { r.drops.emplace_back(inv[0], Counter128 {0, 1}); }, 1}, + {"transit conservation (one unit moved from 0 -> 2 to 0 -> 1)", + [&](FlowRecord& r) { + ++on(r, 0); + --on(r, 1); + }, + 2}, + // Lossless: delivered is both the destinations' net inflow and the sources' net outflow. + {"delivered equal to the destinations' inflow and the sources' outflow", [](FlowRecord& r) { ++r.delivered; }, + 2}, + }; + const std::vector lossy_cases = { + {"drops below 2^64", [](FlowRecord& r) { r.drops[0].second.hi = 1; }, 1}, + {"positive drops (the transit node's inflow lowered with it)", + [&](FlowRecord& r) { + r.drops[0].second.lo = 0; + on(r, 0) = 1; + }, + 1}, + {"drops in ascending EdgeId (a second drop at the source, offered raised with it)", + [&](FlowRecord& r) { + r.drops.emplace_back(inv[0], Counter128 {0, 1}); + r.offered->lo += 1; + }, + 1}, + {"transit conservation net of drops (offered raised with the drop)", + [](FlowRecord& r) { + r.drops[0].second.lo += 1; + r.offered->lo += 1; + }, + 1}, + {"delivered equal to the destinations' inflow (offered raised with it)", + [](FlowRecord& r) { + ++r.delivered; + r.offered->lo += 1; + }, + 1}, + {"offered covers what was delivered and dropped", [](FlowRecord& r) { r.offered->lo -= 1; }, 1}, + {"offered below 2^64", [](FlowRecord& r) { r.offered->hi = 1; }, 1}, + // Without offered both the presence clause and the comparison with offered report. + {"offered on a Lossy record", [](FlowRecord& r) { r.offered.reset(); }, 2}, + }; + for (const auto& [base, cases] : {std::pair {&lossless_record, &lossless_cases}, std::pair {&lossy_record, &lossy_cases}}) { + for (const auto& c : *cases) { + FlowRecord x = *base; + c.change(x); + EXPECT_EQ(failures_of([&] { (void)expect_conserved(*g, x, c.clause); }), c.failures) << c.clause; } } } TEST(FlowLedger, NoRouteCallsRecordTheEpochState) { // A positive request with no usable bundle creates nothing, but the epoch records it: after - // +inf a finite request (place(0) included) is rejected until remove() (APPROACH 8, 9.2; - // prototype 2's reading; prototype 1 kept no state on such a call). + // +inf a finite request (place(0) included) is rejected until remove() (the epoch state: + // the reading of the reference in tests/reference/policy/p2_transaction/). auto g = shared(make_graph(2, {{0, 1, 5, 1}})); FlowLedger fg(g); auto el = std::make_shared(g->eligibility({}, std::vector {0})); PinnedOne p(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual, el); EXPECT_EQ(p.place(3).termination, Termination::NoRoute); - EXPECT_EQ(p.requested().lo, 3u); + EXPECT_EQ(p.requested(), (Counter128 {0, 3})); auto r = p.place(std::nullopt); EXPECT_EQ(r.termination, Termination::NoRoute); EXPECT_FALSE(r.remaining.has_value()); EXPECT_TRUE(p.infinite()); EXPECT_NE(error_of([&] { (void)p.place(1); }).find("after +inf"), std::string::npos); EXPECT_NE(error_of([&] { (void)p.place(0); }).find("after +inf"), std::string::npos); + EXPECT_EQ(p.requested(), (Counter128 {0, 3})); // the rejected calls added nothing + EXPECT_TRUE(p.infinite()); p.remove(); EXPECT_FALSE(p.infinite()); + EXPECT_TRUE(p.requested().is_zero()); EXPECT_EQ(p.place(1).termination, Termination::NoRoute); EXPECT_TRUE(fg.records().empty()); EXPECT_EQ(LedgerAccess::next_flow_id(fg), 0); @@ -514,8 +826,8 @@ TEST(FlowLedger, RouteCostIsTheBundlesMinimumWalk) { } TEST(FlowLedger, RemovalRestoresTheBaselineAndLeavesOtherOwnersIntact) { - // review-2 R7: removing a flow restores the baseline residual (5 on a capacity-10 link), not - // the capacity; review-check check_review6: another owner's allocation stays intact. + // Removing a flow restores the baseline residual (5 on a capacity-10 link), not + // the capacity; another owner's allocation stays intact. auto g = shared(make_graph(2, {{0, 1, 10, 1}})); FlowLedger fg(g, std::vector {5}); PinnedOne a(fg, 0, 1, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); @@ -533,7 +845,7 @@ TEST(FlowLedger, RemovalRestoresTheBaselineAndLeavesOtherOwnersIntact) { } TEST(FlowLedger, LossyOffersArePerCall) { - // review-13 lossy / rule 19: on the diamond, two calls of 1 offer each unit to the lowest + // On the diamond, two calls of 1 offer each unit to the lowest // EdgeId first (both on the first branch) while one call of 2 splits [1, 1]: not additive. auto g = shared(make_graph(4, {{0, 1, 10, 1}, {0, 2, 10, 1}, {1, 3, 1, 1}, {2, 3, 10, 1}})); FlowLedger f1(g), f2(g); @@ -550,7 +862,7 @@ TEST(FlowLedger, LossyOffersArePerCall) { EXPECT_EQ(alloc_in(f2), (std::vector{1, 1, 1, 1})); } -// review-1b-fixes N2: a commit carrying several records of one owner touches an edge from more +// A commit carrying several records of one owner touches an edge from more // than one record; its delta may pass through zero while it accumulates. Each edge's delta is // published once. namespace { @@ -595,13 +907,13 @@ TEST(FlowLedger, MultiRecordCommitsPublishEachEdgeOnce) { EXPECT_EQ(fg.residual(), (std::vector{0})); EXPECT_EQ(record_sum(fg, 0), 3); // Over capacity through the same pattern: rejected, nothing changed. - const auto held = fg.records(); - const auto live = LedgerAccess::bound_owners(fg); + const LedgerState held = ledger_state(fg); std::vector over {draft_on(dag, {{0, 1}}, ids[0].second), draft_on(dag, {{0, 2}}, ids[0].second + 1), draft_on(dag, {{0, 1}})}; - EXPECT_THROW((void)LedgerAccess::commit(fg, owner, over), std::logic_error); + EXPECT_EQ(logic_error_of([&] { (void)LedgerAccess::commit(fg, owner, over); }), + "ledger: infeasible commit on edge 0 (4 of 3)"); + expect_same(ledger_state(fg), held, "the refused commit"); EXPECT_EQ(fg.allocated(), (std::vector{3})); - EXPECT_EQ(fg.records().size(), held.size()); EXPECT_EQ(LedgerAccess::next_flow_id(fg), 2); // A kept record gives its unit up while a new record takes the edge: published once. std::vector moved {draft_on(dag, {}, ids[0].second), draft_on(dag, {{0, 2}}, ids[0].second + 1), @@ -617,8 +929,9 @@ TEST(FlowLedger, MultiRecordCommitsPublishEachEdgeOnce) { TEST(FlowLedger, RandomMultiOwnerCommitsMatchAModel) { // Three owners on four edges; every commit carries all of its owner's records (each kept, // changed, emptied or moved) plus up to two new ones, so deltas cancel and reappear on shared - // edges; detaches between commits. The ledger must equal an independent model after every call, - // and a rejected commit must change nothing. + // edges; detaches between commits. After every call the ledger must equal an independent model + // (the aggregate, every live record's owner and edge amounts, the next id), and a rejected + // commit must name an edge over its capacity and change nothing. std::mt19937 rng(11); auto g = shared(make_graph(4, {{0, 1, 6, 1}, {1, 2, 4, 1}, {2, 3, 5, 1}, {0, 3, 3, 1}})); const auto dag = all_edges(*g); @@ -629,8 +942,8 @@ TEST(FlowLedger, RandomMultiOwnerCommitsMatchAModel) { // The model: per owner, its live records (id -> per-edge amounts). std::vector>> model(owners.size()); std::int64_t next_id = 0; - int accepted = 0; - int rejected = 0; + int moved = 0; // accepted commits that changed the aggregate + int rejected = 0; // commits the ledger rejected auto random_edges = [&] { std::vector a(m, 0); for (std::size_t e = 0; e < m; ++e) a[e] = (rng() % 3) == 0 ? static_cast(rng() % 3) : 0; @@ -680,17 +993,27 @@ TEST(FlowLedger, RandomMultiOwnerCommitsMatchAModel) { bool feasible = true; for (std::size_t e = 0; e < m; ++e) feasible = feasible && total[e] <= g->capacity_units()[e]; const auto before = fg.allocated(); - const auto before_records = fg.records().size(); + const LedgerState before_state = ledger_state(fg); if (feasible) { - EXPECT_EQ(LedgerAccess::commit(fg, owners[o], drafts).size(), static_cast(fresh)); + // The new records take the next ids in draft order. + std::vector want_ids; + for (int k = 0; k < fresh; ++k) want_ids.emplace_back(fg.uid(), next_id + k); + EXPECT_EQ(LedgerAccess::commit(fg, owners[o], drafts), want_ids) << "step " << step; model[o] = after; next_id += fresh; - ++accepted; + moved += fg.allocated() != before ? 1 : 0; } else { - EXPECT_THROW((void)LedgerAccess::commit(fg, owners[o], drafts), std::logic_error); - EXPECT_EQ(fg.allocated(), before); - EXPECT_EQ(fg.records().size(), before_records); + // The refusal names one edge over its capacity, with its new total. + std::vector refusals; + for (std::size_t e = 0; e < m; ++e) { + if (total[e] <= g->capacity_units()[e]) continue; + refusals.push_back("ledger: infeasible commit on edge " + std::to_string(e) + " (" + std::to_string(total[e]) + + " of " + std::to_string(g->capacity_units()[e]) + ")"); + } + const std::string got = logic_error_of([&] { (void)LedgerAccess::commit(fg, owners[o], drafts); }); + EXPECT_TRUE(std::find(refusals.begin(), refusals.end(), got) != refusals.end()) << "step " << step << ": " << got; ++rejected; + expect_same(ledger_state(fg), before_state, "step " + std::to_string(step)); } } std::vector want(m, 0); @@ -702,14 +1025,27 @@ TEST(FlowLedger, RandomMultiOwnerCommitsMatchAModel) { ASSERT_EQ(fg.allocated(), want) << "step " << step; for (std::size_t e = 0; e < m; ++e) ASSERT_EQ(record_sum(fg, static_cast(e)), want[e]); ASSERT_EQ(LedgerAccess::next_flow_id(fg), next_id); + // Every live record by id: its owner and its edge amounts are the model's. + std::map>>> want_records; + for (std::size_t q = 0; q < owners.size(); ++q) { + for (const auto& [id, a] : model[q]) want_records[id] = {owners[q], as_pairs(a)}; + } + const auto records = fg.records(); + ASSERT_EQ(records.size(), want_records.size()) << "step " << step; + for (const auto& r : records) { + const auto it = want_records.find(r.flow_id.second); + ASSERT_NE(it, want_records.end()) << "step " << step << ": record " << r.flow_id.second; + EXPECT_EQ(r.owner, it->second.first) << "step " << step << ": record " << r.flow_id.second; + EXPECT_EQ(r.edges, it->second.second) << "step " << step << ": record " << r.flow_id.second; + } } - EXPECT_GT(accepted, 1000); - EXPECT_GT(rejected, 100); + EXPECT_GT(moved, 500); + EXPECT_GT(rejected, 500); for (auto owner : owners) LedgerAccess::release(fg, owner); } TEST(FlowLedger, FreshSingleRecordCommitsMatchTheGeneralRule) { - // Task 1d-msd: a commit of one new record by an owner without live records takes a shortcut + // A commit of one new record by an owner without live records takes a shortcut // when its edges strictly ascend (no aggregation). Against an independent model of the general // rule, for drafts that ascend, repeat an edge, run backwards, hold zeros or negatives, and // overflow at any position (another owner holding part of the capacity): the same outcome, the @@ -723,11 +1059,10 @@ TEST(FlowLedger, FreshSingleRecordCommitsMatchTheGeneralRule) { const auto other = LedgerAccess::bind(fg); std::vector held {draft_on(dag, {{0, 1}, {2, 2}, {5, 1}})}; (void)LedgerAccess::commit(fg, other, held); - int ascending = 0; - int general = 0; - int negative = 0; - int infeasible = 0; - int accepted = 0; + int shortcut = 0; // accepted non-empty drafts whose edges strictly ascend + int general = 0; // accepted drafts that repeat or reorder an edge + int negative = 0; // rejected for a negative amount + int infeasible = 0; // rejected for an infeasible edge for (int step = 0; step < 4000; ++step) { const auto owner = LedgerAccess::bind(fg); std::vector> edges; @@ -744,7 +1079,6 @@ TEST(FlowLedger, FreshSingleRecordCommitsMatchTheGeneralRule) { const bool strictly = std::adjacent_find(edges.begin(), edges.end(), [](const auto& a, const auto& b) { return a.first >= b.first; }) == edges.end(); - ++(strictly ? ascending : general); // The general rule: negatives first; then each touched edge in first-touch order with its sum. std::string want; for (const auto& [e, x] : edges) { @@ -757,7 +1091,7 @@ TEST(FlowLedger, FreshSingleRecordCommitsMatchTheGeneralRule) { delta[static_cast(e)] += x; } const auto before = fg.allocated(); - const auto before_records = fg.records(); + const LedgerState before_state = ledger_state(fg); const auto next_id = LedgerAccess::next_flow_id(fg); if (want.empty()) { for (EdgeId e : touched) { @@ -777,11 +1111,9 @@ TEST(FlowLedger, FreshSingleRecordCommitsMatchTheGeneralRule) { ADD_FAILURE() << "step " << step << ": accepted, want " << want; } catch (const std::logic_error& e) { EXPECT_EQ(std::string(e.what()), want) << "step " << step; + ++(std::string(e.what()).find("negative") != std::string::npos ? negative : infeasible); } - ++(want.find("negative") != std::string::npos ? negative : infeasible); - EXPECT_EQ(fg.allocated(), before) << "step " << step; - EXPECT_EQ(fg.records().size(), before_records.size()) << "step " << step; - EXPECT_EQ(LedgerAccess::next_flow_id(fg), next_id) << "step " << step; + expect_same(ledger_state(fg), before_state, "step " + std::to_string(step)); } else { const auto ids = LedgerAccess::commit(fg, owner, drafts); ASSERT_EQ(ids.size(), 1U); @@ -794,17 +1126,17 @@ TEST(FlowLedger, FreshSingleRecordCommitsMatchTheGeneralRule) { EXPECT_EQ(rec.edges, kept) << "step " << step; EXPECT_EQ(rec.owner, owner); for (std::size_t e = 0; e < m; ++e) EXPECT_EQ(fg.allocated()[e], before[e] + delta[e]) << "step " << step; - ++accepted; + if (strictly && !edges.empty()) ++shortcut; + if (!strictly) ++general; if (rng() % 2 == 0) (void)LedgerAccess::detach(fg, owner); } LedgerAccess::release(fg, owner); if (::testing::Test::HasFailure()) return; } - EXPECT_GT(ascending, 1000); - EXPECT_GT(general, 1000); + EXPECT_GT(shortcut, 140); + EXPECT_GT(general, 10); EXPECT_GT(negative, 300); EXPECT_GT(infeasible, 300); - EXPECT_GT(accepted, 1000); LedgerAccess::release(fg, other); // An owner with a live record, and a draft naming an id the owner does not hold, keep the // general path and its rule (a fresh ledger). @@ -813,10 +1145,11 @@ TEST(FlowLedger, FreshSingleRecordCommitsMatchTheGeneralRule) { std::vector one {draft_on(dag, {{3, 1}})}; const auto ids = LedgerAccess::commit(fg2, owner, one); std::vector without_it {draft_on(dag, {{4, 1}})}; - EXPECT_THROW((void)LedgerAccess::commit(fg2, owner, without_it), std::logic_error); + const std::string must_carry = "ledger: a commit must carry every live record of its policy"; + EXPECT_EQ(logic_error_of([&] { (void)LedgerAccess::commit(fg2, owner, without_it); }), must_carry); const auto fresh = LedgerAccess::bind(fg2); std::vector claims {draft_on(dag, {{4, 1}}, ids[0].second)}; - EXPECT_THROW((void)LedgerAccess::commit(fg2, fresh, claims), std::logic_error); + EXPECT_EQ(logic_error_of([&] { (void)LedgerAccess::commit(fg2, fresh, claims); }), must_carry); EXPECT_EQ(fg2.records().size(), 1U); LedgerAccess::release(fg2, owner); LedgerAccess::release(fg2, fresh); diff --git a/tests/cpp/flow_policy_fault_tests.cpp b/tests/cpp/flow_policy_fault_tests.cpp index 31dacfd..8142862 100644 --- a/tests/cpp/flow_policy_fault_tests.cpp +++ b/tests/cpp/flow_policy_fault_tests.cpp @@ -1,21 +1,38 @@ -// Allocation-failure atomicity of the policy engine, the DagCache and the evaluators (APPROACH 8, -// 9.2, 10, 11, 13). Every path that grows a buffer or publishes state is swept over every -// allocation it makes: after each injected std::bad_alloc the ledger (aggregate, residual, every -// record field, owners, next FlowId) and the policy's epoch state (requested, +inf, cohorts with -// their ids and plans) equal their state before the call; a clean retry gives the reference -// result (no poisoned per-thread scratch); and remove() restores the ledger. A supplied building -// cache is a memo (APPROACH 13, limit 2): it may keep the complete entries of the lookups that -// succeeded before the failure, never a partial one. Runs in the fault-injection executable -// (fault_injection.hpp). +// Allocation-failure atomicity of the policy engine, the DagCache and the evaluators. +// Exhaustive sweeps (each allocation fails once) cover the placement calls of the 13 routing and +// kernel modes below, with and without a static Eligibility; the zero and empty-roster calls; the +// policy construction, with and without a supplied building cache and an Eligibility; the +// DagCache construction and insertion; capacity() and batch_capacity() on one worker in every +// mode (batch_capacity: every mode but Pinned), without options, with an Eligibility and, in the +// CostOnly modes, with a supplied building cache; sensitivity() on one worker in one mode per +// routing model with the same options; and the frozen lookups. Sampled sweeps cover the other +// modes' sensitivity on one worker (every 11th allocation), the evaluators with 2 and 4 workers +// and the frozen-cache statistics: every 7th (batch_capacity; every 5th on a frozen cache), 11th +// (sensitivity) or step-th allocation in the process, and every third allocation of the worker +// threads only. The scratch-growth test sweeps every allocation of a placement on a 3,000-node +// graph after warming up on a 3-node graph, on a fresh thread for each attempt. After each injected +// std::bad_alloc the ledger (aggregate, residual, every record field, owners, next FlowId) and +// the policy's epoch state (requested, +inf, Global's cumulative curve, and per flow its id, route +// cost and plan: route, members, weights) equal their state before the call; a clean retry gives +// the reference result (no poisoned per-thread scratch); and remove() leaves the ledger as the +// reference's own remove() does. No failed call leaves an allocation live once its attempt's +// objects are gone (a supplied building cache with its kept entries included). remove(), a +// policy's destruction and DagCache::clear() allocate nothing. A supplied building cache is a +// memo: it keeps the complete entries of the lookups that succeeded before the failure (with +// their misses), never a partial one. The hook's worker-only mode, which the sweeps with several +// workers use, is checked against the caller's own allocations. Runs in the fault-injection +// executable (fault_injection.hpp). #include #include +#include #include #include #include #include #include #include +#include #include #include "fault_injection.hpp" @@ -35,43 +52,6 @@ using detail::LedgerAccess; namespace { -// The shared comparators of fault_injection.hpp, beside this file's own overloads. -using test::expect_same; - -// The policy's epoch state: the call state and per roster source its flows (ids, routes, members). -struct Epoch { - Counter128 requested; - bool infinite {false}; - std::vector>>> cohorts; -}; - -Epoch epoch(const FlowPolicy& p) { - const auto& pe = detail::PolicyAccess::engine(p); - Epoch e {pe.requested, pe.infinite, {}}; - for (const auto& c : pe.cohorts) { - auto& out = e.cohorts.emplace_back(); - for (const auto& f : c) { - if (f.plan) { - out.emplace_back(f.id, f.plan->members); - } else { - const auto edges = detail::PredDAGBuilder::ascending(*f.bundle); - out.emplace_back(f.id, std::vector(edges.begin(), edges.end())); - } - } - } - return e; -} - -void expect_same(const Epoch& a, const Epoch& b, const std::string& where) { - EXPECT_EQ(a.requested, b.requested) << where; - EXPECT_EQ(a.infinite, b.infinite) << where; - EXPECT_EQ(a.cohorts, b.cohorts) << where; -} - -PathSelection sel(EdgeTieBreak t, EdgePriority p, bool multipath = true, bool multi_edge = true) { - return PathSelection(t, p, multipath, multi_edge); -} - // Sources 0 and 1, destinations 5 and 6: three equal-cost routes with a parallel pair and a // shared middle, a costlier bypass, and a second destination. std::shared_ptr graph() { @@ -89,13 +69,13 @@ struct Mode { std::vector modes(const Graph& g) { std::vector out; - const auto det = sel(EdgeTieBreak::Deterministic, EdgePriority::Capacity); - const auto res = sel(EdgeTieBreak::Deterministic, EdgePriority::Residual); - const auto tunnel = sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, false); + const auto det = PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity); + const auto res = PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Residual); + const auto tunnel = PathSelection(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, false); const std::vector S = {0, 1}; const std::vector D = {5, 6}; out.push_back({"costonly maxflow", {CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossless, det}, S, D}); - out.push_back({"costonly eb", {CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, det}, S, D}); + out.push_back({"costonly eb", cost_only_config(), S, D}); out.push_back({"costonly weighted residual", {CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, res}, S, D}); out.push_back({"costonly lossy", {CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy, det}, S, D}); out.push_back({"costonly single path collapse", @@ -114,18 +94,17 @@ std::vector modes(const Graph& g) { dim.diminishing = DiminishingReturns {1, 0.5}; dim.min_flow_bandwidth = 1; out.push_back({"capacityaware weighted diminishing", {dim, FlowPlacement::Weighted, Admission::Lossless, res}, S, D}); - out.push_back({"global", {Global {}, FlowPlacement::MaxFlow, Admission::Lossless, det}, S, D}); + out.push_back({"global", global_config(), S, D}); Pinned two; const auto inv = id_of_input(g); - two.bundles = {std::make_shared(detail::PredDAGBuilder::of_edges(g, std::vector {inv[0], inv[4], inv[5]})), - std::make_shared(detail::PredDAGBuilder::of_edges(g, std::vector {inv[1], inv[6]}))}; + two.bundles = {dag_of(g, {inv[0], inv[4], inv[5]}), dag_of(g, {inv[1], inv[6]})}; out.push_back({"pinned eb cohort", {two, FlowPlacement::EqualBalanced, Admission::Lossless, det}, {0}, {5}}); out.push_back({"pinned lossy", {two, FlowPlacement::Weighted, Admission::Lossy, det}, {0}, {5}}); - // CostOnly creation in one pass (task 1d-msd): its Collapse branch (multipath, multi_edge false, + // CostOnly creation in one pass: its Collapse branch (multipath, multi_edge false, // on the creation view) and its Weighted weights (Capacity priority). out.push_back({"costonly eb multipath collapse", {CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, - sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, true, false)}, + PathSelection(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, true, false)}, S, D}); out.push_back({"costonly weighted capacity", {CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, det}, S, D}); return out; @@ -148,11 +127,22 @@ std::vector scenarios() { }; } +// The static Eligibility of g without the edge at input position `position`. +Eligibility without_input_edge(const Graph& g, std::size_t position) { + const EdgeId excluded[] = {id_of_input(g)[position]}; + return g.eligibility({}, excluded); +} + +// graph() without the costly bypass 0 -> 6 (input 9), and without the cross edge 2 -> 4 (input +// 10: batch_capacity's per-pair value, whose intersection with the first is a new value). +Eligibility without_bypass(const Graph& g) { return without_input_edge(g, 9); } +Eligibility without_cross(const Graph& g) { return without_input_edge(g, 10); } + // A third party holding one unit on the first route's edges. std::unique_ptr third_party(FlowLedger& fg, const Graph& g) { const auto inv = id_of_input(g); Pinned p; - p.bundles = {std::make_shared(detail::PredDAGBuilder::of_edges(g, std::vector {inv[0], inv[4]}))}; + p.bundles = {dag_of(g, {inv[0], inv[4]})}; auto t = std::make_unique(fg, std::vector {0}, std::vector {5}, FlowPolicyConfig {p, FlowPlacement::MaxFlow, Admission::Lossless, PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)}); @@ -164,61 +154,39 @@ std::unique_ptr third_party(FlowLedger& fg, const Graph& g) { TEST(PolicyFaults, EveryAllocationOfEveryRoutingModeFailsAtomically) { const auto g = graph(); - int sweeps = 0; - long injected = 0; + const Eligibility no_bypass = without_bypass(*g); for (const auto& m : modes(*g)) { for (const auto& sc : scenarios()) { - const std::string where = m.name + " / " + sc.name; - FlowLedger ref(g); - auto ref_third = third_party(ref, *g); - FlowPolicy pref(ref, m.sources, m.destinations, m.cfg); - for (auto v : sc.before) (void)pref.place(v); - const LedgerState initial = ledger_state(ref); - const Epoch initial_epoch = epoch(pref); - const PlacementResult want = pref.place(sc.call, sc.outputs); - const LedgerState after = ledger_state(ref); - const Epoch want_epoch = epoch(pref); - pref.remove(); - const LedgerState removed = ledger_state(ref); - ++sweeps; - for (long at = 0;; ++at) { - const std::string w = where + " allocation " + std::to_string(at); - FlowLedger fg(g); - auto third = third_party(fg, *g); - FlowPolicy p(fg, m.sources, m.destinations, m.cfg); - for (auto v : sc.before) (void)p.place(v); - expect_same(ledger_state(fg), initial, w + " (setup)"); - PlacementResult got; - if (!fails_at(at, [&] { got = p.place(sc.call, sc.outputs); })) { - expect_same(got, want, w + " (no failure)"); - expect_same(ledger_state(fg), after, w + " (no failure)"); - break; - } - ++injected; - expect_same(ledger_state(fg), initial, w + " (failed call)"); - expect_same(epoch(p), initial_epoch, w + " (failed call)"); - expect_balanced(fg, w + " (failed call)"); - expect_same(p.place(sc.call, sc.outputs), want, w + " (retry)"); - expect_same(ledger_state(fg), after, w + " (retry)"); - expect_same(epoch(p), want_epoch, w + " (retry)"); - p.remove(); - expect_same(ledger_state(fg), removed, w + " (remove)"); + for (const Eligibility* elig : {static_cast(nullptr), &no_bypass}) { + const std::string where = m.name + " / " + sc.name + (elig != nullptr ? " / eligibility" : ""); + // The third party, then the policy's earlier calls. + const auto setup = [&](FlowLedger& fg) { + auto third = std::shared_ptr(third_party(fg, *g)); + auto p = std::make_shared(fg, m.sources, m.destinations, m.cfg, elig); + for (auto v : sc.before) (void)p->place(v); + FlowPolicy* policy = p.get(); + return Staged {std::make_shared, std::shared_ptr>>( + std::move(third), std::move(p)), + policy}; + }; + const long injected = + sweep_placement(g, where, setup, [&](FlowPolicy& p) { return p.place(sc.call, sc.outputs); }); if (::testing::Test::HasFailure()) return; + EXPECT_GT(injected, 2) << where; // not vacuous: every mode and scenario allocates } } } - EXPECT_EQ(sweeps, 13 * 5); - EXPECT_GT(injected, sweeps * 3); // not vacuous } // The calls that place nothing publish only their outputs and, for a positive request, the // epoch's request: a zero request, and a positive or +inf request when no source reaches a -// destination (an empty roster; the endpoints swapped: 5 and 6 have no out-edges). A failure -// changes neither the ledger nor the epoch state. +// destination (an empty roster; the endpoints swapped: 5 and 6 have no out-edges). Each runs +// through the shared placement sweep: a failure changes neither the ledger nor the epoch state and +// leaves no allocation live; the completing call, the retry and remove() leave the ledger as the +// reference's do. TEST(PolicyFaults, ZeroAndEmptyRosterCallsFailAtomically) { const auto g = graph(); const OutputOptions all {true, true, true}; - long injected = 0; struct Case { bool swap; std::optional volume; @@ -230,179 +198,436 @@ TEST(PolicyFaults, ZeroAndEmptyRosterCallsFailAtomically) { for (const auto& c : cases) { const auto& s = c.swap ? m.destinations : m.sources; const auto& d = c.swap ? m.sources : m.destinations; - FlowLedger ref(g); - auto ref_third = third_party(ref, *g); - FlowPolicy pref(ref, s, d, m.cfg); - const PlacementResult want = pref.place(c.volume, all); - const Epoch want_epoch = epoch(pref); - if (c.swap) EXPECT_TRUE(detail::PolicyAccess::engine(pref).roster.empty()) << m.name; - for (long at = 0;; ++at) { - const std::string w = m.name + " / " + c.name + " allocation " + std::to_string(at); - FlowLedger fg(g); - auto third = third_party(fg, *g); - FlowPolicy p(fg, s, d, m.cfg); - const LedgerState before = ledger_state(fg); - const Epoch before_epoch = epoch(p); - PlacementResult got; - if (!fails_at(at, [&] { got = p.place(c.volume, all); })) { - expect_same(got, want, w + " (no failure)"); - break; - } - ++injected; - expect_same(ledger_state(fg), before, w + " (failed call)"); - expect_same(epoch(p), before_epoch, w + " (failed call)"); - expect_same(p.place(c.volume, all), want, w + " (retry)"); - expect_same(epoch(p), want_epoch, w + " (retry)"); - if (::testing::Test::HasFailure()) return; - } + const std::string where = m.name + " / " + c.name; + const auto setup = [&](FlowLedger& fg) { + auto third = std::shared_ptr(third_party(fg, *g)); + auto p = std::make_shared(fg, s, d, m.cfg); + if (c.swap) EXPECT_TRUE(detail::PolicyAccess::engine(*p).roster.empty()) << where; + FlowPolicy* policy = p.get(); + return Staged {std::make_shared, std::shared_ptr>>( + std::move(third), std::move(p)), + policy}; + }; + const long injected = sweep_placement(g, where, setup, [&](FlowPolicy& p) { return p.place(c.volume, all); }); + if (::testing::Test::HasFailure()) return; + EXPECT_GT(injected, 0) << where; // not vacuous: every mode and case fails } } - EXPECT_GT(injected, 27); // every mode and case fails at least once } TEST(PolicyFaults, ConstructionFailsWithoutBindingAndTheCacheStaysConsistent) { const auto g = graph(); + const Eligibility no_bypass = without_bypass(*g); for (const auto& m : modes(*g)) { - for (const bool with_cache : {false, true}) { + for (const int v : {0, 1, 2, 3}) { + const bool with_cache = (v & 1) != 0; + const Eligibility* elig = (v & 2) != 0 ? &no_bypass : nullptr; + const std::string variant = std::string(with_cache ? " cached" : "") + (elig != nullptr ? " eligibility" : ""); + // The reference: a clean construction on a fresh ledger and cache, then place(2). + FlowLedger rf(g); + DagCache rc(*g); + FlowPolicy pr(rf, m.sources, m.destinations, m.cfg, elig, with_cache ? &rc : nullptr); + const DagCache::Stats fresh = rc.stats(); + const PlacementResult want = pr.place(2); + const LedgerState placed = ledger_state(rf); + long injected = 0; + int empty = 0; // failures that left the supplied cache empty, and that left its whole entry + int whole = 0; for (long at = 0;; ++at) { - FlowLedger fg(g); - DagCache cache(*g); - const LedgerState before = ledger_state(fg); - std::optional p; - if (!fails_at(at, [&] { p.emplace(fg, m.sources, m.destinations, m.cfg, nullptr, with_cache ? &cache : nullptr); })) { - EXPECT_EQ(LedgerAccess::bound_owners(fg).size(), 1U); - break; + const std::string w = m.name + variant + " construction allocation " + std::to_string(at); + // Everything an attempt allocates (its ledger, cache, failed construction, then the clean + // construction and its placement) is freed when the attempt ends: the thread's scratch is + // already grown by the reference, so an allocation left live is a leak of the failed + // construction (a cache's kept entry is freed with the cache). + const long live = g_live.load(); + { + FlowLedger fg(g); + DagCache cache(*g); + const LedgerState before = ledger_state(fg); + std::optional p; + if (!fails_at(at, [&] { p.emplace(fg, m.sources, m.destinations, m.cfg, elig, with_cache ? &cache : nullptr); })) { + EXPECT_EQ(LedgerAccess::bound_owners(fg).size(), 1U); + break; + } + ++injected; + EXPECT_FALSE(p.has_value()) << w; + expect_same(ledger_state(fg), before, w); + // A supplied cache holds whole entries only: none, or exactly the entries and bytes a + // clean construction leaves in a fresh cache; no policy holds a value any more. + const auto s = cache.stats(); + EXPECT_LE(fresh.entries, 1) << w; + if (s.entries == 0) { + EXPECT_EQ(s.bytes, 0) << w; + ++empty; + } else { + EXPECT_EQ(s.entries, fresh.entries) << w; + EXPECT_EQ(s.bytes, fresh.bytes) << w; + ++whole; + } + EXPECT_EQ(s.live_values, s.entries) << w; + // A clean construction works, leaves the fresh cache's entries and places like the reference. + p.emplace(fg, m.sources, m.destinations, m.cfg, elig, with_cache ? &cache : nullptr); + EXPECT_EQ(cache.stats().entries, fresh.entries) << w; + EXPECT_EQ(cache.stats().bytes, fresh.bytes) << w; + expect_same(p->place(2), want, w); + expect_same(ledger_state(fg), placed, w); + expect_balanced(fg, w); } - const std::string w = m.name + (with_cache ? " cached" : "") + " construction allocation " + std::to_string(at); - EXPECT_FALSE(p.has_value()) << w; - expect_same(ledger_state(fg), before, w); - // The cache holds whole entries only: its statistics agree with a fresh lookup. - const auto s = cache.stats(); - EXPECT_EQ(s.live_values, s.entries) << w; - EXPECT_LE(s.entries, 1) << w; - // A clean construction works and places like the reference. - p.emplace(fg, m.sources, m.destinations, m.cfg, nullptr, with_cache ? &cache : nullptr); - EXPECT_GE(p->place(2).placed, 0) << w; - expect_balanced(fg, w); + EXPECT_EQ(g_live.load(), live) << w << ": a leak"; + if (::testing::Test::HasFailure()) return; + } + EXPECT_GT(injected, 0) << m.name << variant; // not vacuous + // A mode that reads the supplied cache fails both before its entry exists and after. + if (fresh.entries == 1) { + EXPECT_GT(empty, 0) << m.name; + EXPECT_GT(whole, 0) << m.name; } } } + // Every CostOnly mode reads the supplied cache (an entry after a clean construction), the + // other modes none: the memo outcomes above are checked for every CostOnly mode. + for (const auto& m : modes(*g)) { + FlowLedger fg(g); + DagCache cache(*g); + const FlowPolicy p(fg, m.sources, m.destinations, m.cfg, nullptr, &cache); + EXPECT_EQ(cache.stats().entries, std::holds_alternative(m.cfg.routing) ? 1 : 0) << m.name; + } } TEST(PolicyFaults, DagCacheInsertionIsAllOrNothing) { const auto g = graph(); const std::vector roots = {5, 6}; + { // clean searches first grow this thread's search scratch, which outlives the attempts + DagCache warm(*g); + (void)warm.lookup(*g, std::vector {5}, Direction::Reverse, nullptr); + (void)warm.lookup(*g, roots, Direction::Reverse, nullptr); + } + long injected = 0; for (long at = 0;; ++at) { - DagCache cache(*g); - (void)cache.lookup(*g, std::vector {5}, Direction::Reverse, nullptr); // one entry before - const auto before = cache.stats(); - std::shared_ptr got; - if (!fails_at(at, [&] { got = cache.lookup(*g, roots, Direction::Reverse, nullptr); })) { - EXPECT_EQ(cache.stats().entries, 2); + const std::string w = "lookup allocation " + std::to_string(at); + // Everything an attempt allocates (its cache and values, the retry) is freed when it ends, so + // an allocation left live is a leak of the failed lookup. + const long live = g_live.load(); + bool failed = false; + { + DagCache cache(*g); + (void)cache.lookup(*g, std::vector {5}, Direction::Reverse, nullptr); // one entry before + const auto before = cache.stats(); + std::shared_ptr got; + failed = fails_at(at, [&] { got = cache.lookup(*g, roots, Direction::Reverse, nullptr); }); + if (!failed) { + EXPECT_EQ(cache.stats().entries, 2); + } else { + ++injected; + const auto s = cache.stats(); + EXPECT_EQ(s.entries, before.entries) << w; + EXPECT_EQ(s.bytes, before.bytes) << w; + EXPECT_EQ(s.live_values, before.live_values) << w; + EXPECT_EQ(s.hits, before.hits) << w; + // The key is the lookup's first allocation: its failure counts nothing; a failed search (or + // insertion) after it counts its miss. + EXPECT_EQ(s.misses, before.misses + (at == 0 ? 0 : 1)) << w; + const auto v = cache.lookup(*g, roots, Direction::Reverse, nullptr); // a clean retry inserts + EXPECT_EQ(cache.stats().entries, 2) << w; + EXPECT_TRUE(*v == detail::static_support(*g, roots, Direction::Reverse, nullptr)) << w; + } + } + EXPECT_EQ(g_live.load(), live) << w << ": a leak"; + if (!failed) break; + } + EXPECT_GE(injected, 2); // the key (allocation 0) and at least one allocation after it +} + +// A failed DagCache construction (its allocations: the counter of live values that every value's +// deleter shares, and on MSVC the map's own) builds nothing and leaks nothing; clear() and +// freeze()/thaw() make no allocation. +TEST(PolicyFaults, DagCacheConstructionFailsWithoutALeakAndClearNeverAllocates) { + const auto g = graph(); + long injected = 0; + for (long at = 0;; ++at) { + std::optional cache; + const long live = g_live.load(); + if (!fails_at(at, [&] { cache.emplace(*g); })) { + ASSERT_TRUE(cache.has_value()); + EXPECT_EQ(cache->stats().entries, 0); break; } - const auto s = cache.stats(); - const std::string w = "lookup allocation " + std::to_string(at); - EXPECT_EQ(s.entries, before.entries) << w; - EXPECT_EQ(s.bytes, before.bytes) << w; - EXPECT_EQ(s.live_values, before.live_values) << w; - EXPECT_EQ(s.hits, before.hits) << w; - // The key is the lookup's first allocation: its failure counts nothing; a failed search (or - // insertion) after it counts its miss. - EXPECT_EQ(s.misses, before.misses + (at == 0 ? 0 : 1)) << w; - const auto v = cache.lookup(*g, roots, Direction::Reverse, nullptr); // a clean retry inserts - EXPECT_EQ(cache.stats().entries, 2) << w; - EXPECT_TRUE(*v == detail::static_support(*g, roots, Direction::Reverse, nullptr)) << w; + ++injected; + EXPECT_FALSE(cache.has_value()) << "allocation " << at; + EXPECT_EQ(g_live.load(), live) << "allocation " << at << ": a leak"; } + EXPECT_GE(injected, 1); // the counter (MSVC's map adds its own) + DagCache cache(*g); + const auto held = cache.lookup(*g, std::vector {5}, Direction::Reverse, nullptr); + (void)cache.lookup(*g, std::vector {5, 6}, Direction::Reverse, nullptr); + ASSERT_EQ(cache.stats().entries, 2); + EXPECT_FALSE(fails_at(0, [&] { + cache.freeze(); + cache.thaw(); + cache.clear(); + })); + const auto s = cache.stats(); + EXPECT_EQ(s.entries, 0); + EXPECT_EQ(s.bytes, 0); + EXPECT_EQ(s.live_values, 1); // the value held here outlives its entry } namespace { // The evaluators under a failure on `workers` threads: anywhere in the process (every `step`-th -// allocation: the evaluators allocate a lot) or, with several workers, in the worker threads only -// (their setup and their tasks; every third worker allocation, from the first). The failure -// propagates as std::bad_alloc after every worker has joined, never terminating the process -// (review-1c F1: a worker's cache allocation escaped its thread), and a clean retry gives the -// reference. Returns the number of injected failures. +// allocation: 1 sweeps them all) or, with several workers, in the worker threads only (their +// setup and their tasks; every third worker allocation, from the first). `setup` runs before each +// attempt and `teardown` after it, both outside the failure; teardown frees what setup made (a +// supplied building cache, whose kept entries are no leak). The failure propagates as +// std::bad_alloc after every worker has joined, never terminating the process, and a clean retry +// gives the reference. Each attempt leaves no allocation live: the workers' scratch ends with +// their threads, and the caller computed the reference on its own thread first, which grew that +// thread's scratch. Returns the number of injected failures. long sweep_evaluator(const std::string& name, std::int32_t workers, bool in_workers, long step, - const std::function& call, const std::function& retry) { + const std::function& call, const std::function& retry, + const std::function& setup = [] {}, const std::function& teardown = [] {}) { long failures = 0; for (long at = 0;; at += in_workers ? 3 : step) { + const std::string w = name + " workers " + std::to_string(workers) + (in_workers ? " (worker threads)" : "") + + " allocation " + std::to_string(at); + const long live = g_live.load(); + setup(); const auto fn = [&] { call(workers); }; - if (!(in_workers ? fails_in_workers_at(at, fn) : fails_at(at, fn))) break; - ++failures; - retry(workers); + const bool failed = in_workers ? fails_in_workers_at(at, fn) : fails_at(at, fn); + if (failed) { + ++failures; + retry(workers); + } + teardown(); + EXPECT_EQ(g_live.load(), live) << w << ": a leak"; + if (!failed) break; if (::testing::Test::HasFailure()) { - ADD_FAILURE() << name << " workers " << workers << (in_workers ? " (worker threads)" : "") << " allocation " << at; + ADD_FAILURE() << w; break; } } return failures; } -void sweep_batch(const Mode& m, const Graph& g, std::span workers_set) { +// The options of an evaluator sweep: none, a static Eligibility (for batch_capacity also a +// per-pair value, so each pair's intersection is a new value), or a supplied building cache (one +// worker; a fresh cache before each attempt). A building cache is a memo: after a failed call it +// holds whole entries only (no value alive outside it), some failed calls keep the entries of the +// lookups that completed before the failure, and the retry leaves the entries of a clean call. +struct Options { + std::string name; + const Eligibility* elig {nullptr}; + const Eligibility* per_pair {nullptr}; + bool cache {false}; +}; + +std::vector option_sets(const Eligibility& no_bypass, const Eligibility& no_cross) { + return {{"", nullptr, nullptr, false}, {" eligibility", &no_bypass, &no_cross, false}, {" building cache", nullptr, nullptr, true}}; +} + +// A supplied building cache after a failed call: whole entries only, no more than a clean call +// leaves. +void expect_whole_entries(const DagCache::Stats& s, std::int64_t clean, const std::string& where) { + EXPECT_LE(s.entries, clean) << where; + EXPECT_EQ(s.live_values, s.entries) << where; + if (s.entries == 0) EXPECT_EQ(s.bytes, 0) << where; +} + +void expect_whole_entries(const std::optional& cache, std::int64_t clean, const std::string& where) { + if (cache) expect_whole_entries(cache->stats(), clean, where); +} + +void sweep_batch(const Mode& m, const Graph& g, std::span workers_set, long step, + const Options& o = {}) { const std::vector, std::vector>> pairs = { {m.sources, m.destinations}, {{1}, {6}}, {{0}, {5}}}; - const auto want = batch_capacity(g, pairs, CapacityOptions {m.cfg}, {}, 1); + const std::vector per_pair(o.per_pair != nullptr ? pairs.size() : 0, o.per_pair); + std::optional cache; + const auto opts = [&] { return CapacityOptions {m.cfg, o.elig, cache ? &*cache : nullptr}; }; + if (o.cache) cache.emplace(g); + const auto want = batch_capacity(g, pairs, opts(), per_pair, 1); + const std::int64_t clean = cache ? cache->stats().entries : 0; + cache.reset(); // each attempt gets a fresh one (setup) + const std::string name = m.name + " batch" + o.name; + long kept = 0; // failed calls whose cache kept the entries of the lookups before the failure for (const std::int32_t workers : workers_set) { for (const bool in_workers : {false, true}) { if (in_workers && workers == 1) continue; // one worker runs on the calling thread const long failures = sweep_evaluator( - m.name + " batch", workers, in_workers, 7, - [&](std::int32_t w) { (void)batch_capacity(g, pairs, CapacityOptions {m.cfg}, {}, w); }, + name, workers, in_workers, step, [&](std::int32_t w) { (void)batch_capacity(g, pairs, opts(), per_pair, w); }, [&](std::int32_t w) { - const auto b = batch_capacity(g, pairs, CapacityOptions {m.cfg}, {}, w); + expect_whole_entries(cache, clean, name + " failed call"); + if (cache && cache->stats().entries > 0) ++kept; + const auto b = batch_capacity(g, pairs, opts(), per_pair, w); ASSERT_EQ(b.size(), want.size()); - for (std::size_t i = 0; i < b.size(); ++i) expect_same(b[i], want[i], m.name + " batch retry"); - }); - EXPECT_GT(failures, 2) << m.name << " batch workers " << workers; // not vacuous + for (std::size_t i = 0; i < b.size(); ++i) expect_same(b[i], want[i], name + " retry"); + if (cache) EXPECT_EQ(cache->stats().entries, clean) << name << " retry"; + }, + [&] { + if (o.cache) cache.emplace(g); + }, + [&] { cache.reset(); }); + EXPECT_GT(failures, 2) << name << " workers " << workers; // not vacuous } } + if (o.cache) EXPECT_GT(kept, 0) << name; } -void sweep_sensitivity(const Mode& m, const Graph& g, std::span workers_set) { - const SensitivityOptions opts {m.cfg}; - const auto want = sensitivity(g, m.sources, m.destinations, opts, 1); +void sweep_sensitivity(const Mode& m, const Graph& g, std::span workers_set, long step, + const Options& o = {}) { + std::optional cache; + const auto opts = [&] { return SensitivityOptions {m.cfg, o.elig, cache ? &*cache : nullptr}; }; + if (o.cache) cache.emplace(g); + const auto want = sensitivity(g, m.sources, m.destinations, opts(), 1); + const std::int64_t clean = cache ? cache->stats().entries : 0; + cache.reset(); // each attempt gets a fresh one (setup) + const std::string name = m.name + " sensitivity" + o.name; + long kept = 0; // failed calls whose cache kept the entries of the lookups before the failure for (const std::int32_t workers : workers_set) { for (const bool in_workers : {false, true}) { if (in_workers && workers == 1) continue; const long failures = sweep_evaluator( - m.name + " sensitivity", workers, in_workers, 11, - [&](std::int32_t w) { (void)sensitivity(g, m.sources, m.destinations, opts, w); }, + name, workers, in_workers, step, + [&](std::int32_t w) { (void)sensitivity(g, m.sources, m.destinations, opts(), w); }, [&](std::int32_t w) { - const auto s = sensitivity(g, m.sources, m.destinations, opts, w); + expect_whole_entries(cache, clean, name + " failed call"); + if (cache && cache->stats().entries > 0) ++kept; + const auto s = sensitivity(g, m.sources, m.destinations, opts(), w); + expect_same(s.baseline, want.baseline, name + " retry"); ASSERT_EQ(s.entries.size(), want.entries.size()); for (std::size_t i = 0; i < s.entries.size(); ++i) { - EXPECT_EQ(s.entries[i].edge, want.entries[i].edge) << m.name; - EXPECT_EQ(s.entries[i].loss, want.entries[i].loss) << m.name; + EXPECT_EQ(s.entries[i].edge, want.entries[i].edge) << name; + EXPECT_EQ(s.entries[i].loss, want.entries[i].loss) << name; } - }); - EXPECT_GT(failures, 2) << m.name << " sensitivity workers " << workers; + }, + [&] { + if (o.cache) cache.emplace(g); + }, + [&] { cache.reset(); }); + EXPECT_GT(failures, 2) << name << " workers " << workers; } } + if (o.cache) EXPECT_GT(kept, 0) << name; } } // namespace +// The hook's worker-only mode, which every sweep of the evaluators with several workers relies on: +// it counts and fails only the allocations of threads other than the caller's, so an allocation +// of the calling thread neither fails nor advances the countdown (were the thread filter lost, +// those sweeps would quietly fail any thread's allocations). reaches_in_workers_at accepts an +// injected failure that reaches the caller or loses to another exception that fn handles, and +// reports a std::bad_alloc that it did not inject. +TEST(FaultHook, WorkerOnlyModeFailsOnlyWorkerAllocations) { + const auto caller_allocates = [] { ::operator delete(::operator new(8)); }; + // Three allocations of the calling thread, then one of a worker, whose exception the caller + // rethrows after the join (as the evaluators do). + const auto worker_allocates = [](bool handle) { + for (int i = 0; i < 3; ++i) ::operator delete(::operator new(8)); + std::exception_ptr error; + std::thread([&] { + try { + ::operator delete(::operator new(8)); + } catch (...) { + error = std::current_exception(); + } + }).join(); + if (error && !handle) std::rethrow_exception(error); + }; + EXPECT_EQ(failures_of([&] { EXPECT_FALSE(fails_in_workers_at(0, caller_allocates)); }), 0); + EXPECT_EQ(failures_of([&] { EXPECT_TRUE(fails_in_workers_at(0, [&] { worker_allocates(false); })); }), 0); + EXPECT_EQ(failures_of([&] { EXPECT_FALSE(fails_in_workers_at(1, [&] { worker_allocates(false); })); }), 0); + bool bad_alloc = false; + EXPECT_EQ(failures_of([&] { EXPECT_TRUE(reaches_in_workers_at(0, [&] { worker_allocates(false); }, bad_alloc)); }), 0); + EXPECT_TRUE(bad_alloc); + EXPECT_EQ(failures_of([&] { EXPECT_TRUE(reaches_in_workers_at(0, [&] { worker_allocates(true); }, bad_alloc)); }), 0); + EXPECT_FALSE(bad_alloc); // lost to an outcome fn handled + EXPECT_EQ(failures_of([&] { EXPECT_FALSE(reaches_in_workers_at(0, caller_allocates, bad_alloc)); }), 0); + // A std::bad_alloc of fn's own while the armed worker failure is never reached. + EXPECT_EQ(failures_of([&] { (void)reaches_in_workers_at(1000, [] { throw std::bad_alloc(); }, bad_alloc); }), 1); +} + +// Every allocation of capacity and batch_capacity on one worker fails once, for every mode, without +// options, with a static Eligibility and (for CostOnly, the one routing model that reads a cache) +// with a supplied building cache. sensitivity repeats capacity's work once per candidate edge, so +// its exhaustive sweep runs on one mode per routing model with the same options (every allocation +// site of its own code: the deletion values, the intersections, the CostOnly skip, the per- +// candidate cache clear); the other modes fail at every 11th allocation. TEST(PolicyFaults, EvaluatorsLeaveNoPoisonedScratch) { const auto g = graph(); + const Eligibility no_bypass = without_bypass(*g); + const Eligibility no_cross = without_cross(*g); const std::int32_t one[] = {1}; + const std::vector exhaustive_sensitivity = {"costonly eb", "capacityaware weighted diminishing", "global", + "pinned eb cohort"}; + int swept_sensitivity = 0; for (const auto& m : modes(*g)) { - const CapacityOptions copts {m.cfg, nullptr, nullptr, OutputOptions {true, true, true}}; - const auto want = capacity(*g, m.sources, m.destinations, copts); - for (long at = 0;; ++at) { - PlacementResult got; - if (!fails_at(at, [&] { got = capacity(*g, m.sources, m.destinations, copts); })) { - expect_same(got, want, m.name + " capacity (no failure)"); - break; + const bool reads_cache = std::holds_alternative(m.cfg.routing); + const bool every_sensitivity_allocation = + std::find(exhaustive_sensitivity.begin(), exhaustive_sensitivity.end(), m.name) != exhaustive_sensitivity.end(); + for (const auto& o : option_sets(no_bypass, no_cross)) { + if (o.cache && !reads_cache) continue; + const std::string name = m.name + " capacity" + o.name; + std::optional cache; + const auto copts = [&] { + return CapacityOptions {m.cfg, o.elig, cache ? &*cache : nullptr, OutputOptions {true, true, true}}; + }; + if (o.cache) cache.emplace(*g); + const auto want = capacity(*g, m.sources, m.destinations, copts()); + const std::int64_t clean = cache ? cache->stats().entries : 0; + if (o.cache) EXPECT_GT(clean, 0) << name; // the cache is read + cache.reset(); // each attempt supplies a fresh one + long injected = 0; + long kept = 0; // failed calls whose cache kept the entry of the lookup before the failure + long empty = 0; + for (long at = 0;; ++at) { + const std::string w = name + " allocation " + std::to_string(at); + // Everything an attempt allocates is freed when it ends, the supplied cache with it (its + // kept entries are no leak), so an allocation left live is a leak of the failed call. + const long live = g_live.load(); + if (o.cache) cache.emplace(*g); + bool failed = false; + { + PlacementResult got; + failed = fails_at(at, [&] { got = capacity(*g, m.sources, m.destinations, copts()); }); + if (!failed) { + expect_same(got, want, name + " (no failure)"); + } else { + ++injected; + expect_whole_entries(cache, clean, w); + if (cache) { + // The memo keeps a completed lookup's entry and its statistics: one miss per entry. + const auto s = cache->stats(); + ++(s.entries > 0 ? kept : empty); + if (s.entries > 0) { + EXPECT_EQ(s.misses, s.entries) << w; + EXPECT_EQ(s.hits, 0) << w; + } + } + expect_same(capacity(*g, m.sources, m.destinations, copts()), want, w + " (retry)"); + if (cache) EXPECT_EQ(cache->stats().entries, clean) << w; + } + } + cache.reset(); + EXPECT_EQ(g_live.load(), live) << w << ": a leak"; + if (!failed) break; + } + EXPECT_GT(injected, 0) << name; // not vacuous + if (o.cache) { + EXPECT_GT(kept, 0) << name; // failures after the lookup, and before it + EXPECT_GT(empty, 0) << name; } - expect_same(capacity(*g, m.sources, m.destinations, copts), want, m.name + " capacity retry " + std::to_string(at)); + if (!std::holds_alternative(m.cfg.routing)) sweep_batch(m, *g, one, 1, o); // batch rejects Pinned + if (every_sensitivity_allocation) { + sweep_sensitivity(m, *g, one, 1, o); + ++swept_sensitivity; + } else if (o.elig == nullptr && !o.cache) { + sweep_sensitivity(m, *g, one, 11, o); + } + if (::testing::Test::HasFailure()) return; } - if (std::holds_alternative(m.cfg.routing)) continue; - sweep_batch(m, *g, one); - sweep_sensitivity(m, *g, one); - if (::testing::Test::HasFailure()) return; } + EXPECT_EQ(swept_sensitivity, 4 * 2 + 1); // four modes with two option sets, CostOnly's with three } TEST(PolicyFaults, BatchWorkersFailWithoutTerminating) { @@ -410,7 +635,7 @@ TEST(PolicyFaults, BatchWorkersFailWithoutTerminating) { const std::int32_t several[] = {2, 4}; for (const auto& m : modes(*g)) { if (std::holds_alternative(m.cfg.routing)) continue; - sweep_batch(m, *g, several); + sweep_batch(m, *g, several, 7); if (::testing::Test::HasFailure()) return; } } @@ -419,8 +644,7 @@ TEST(PolicyFaults, SensitivityWorkersFailWithoutTerminating) { const auto g = graph(); const std::int32_t several[] = {2, 4}; for (const auto& m : modes(*g)) { - if (std::holds_alternative(m.cfg.routing)) continue; - sweep_sensitivity(m, *g, several); + sweep_sensitivity(m, *g, several, 11); if (::testing::Test::HasFailure()) return; } } @@ -430,51 +654,81 @@ TEST(PolicyFaults, RemovalAndReleaseNeverAllocate) { for (const auto& m : modes(*g)) { FlowLedger fg(g); auto p = std::make_unique(fg, m.sources, m.destinations, m.cfg); - (void)p->place(5); - EXPECT_FALSE(fails_at(0, [&] { p->remove(); })) << m.name; - EXPECT_TRUE(fg.records().empty()) << m.name; - (void)p->place(3); - const auto held = fg.allocated(); - EXPECT_FALSE(fails_at(0, [&] { p.reset(); })) << m.name; - EXPECT_EQ(fg.allocated(), held) << m.name; - EXPECT_TRUE(LedgerAccess::bound_owners(fg).empty()) << m.name; + expect_removal_and_release_allocate_nothing(fg, p, m.name); } } -// The working-residual overlay and the per-source scratch grow with the graph: every position -// fails on a graph larger than any before, so the failure lands while they grow; the failed call -// changes nothing and a clean retry on the same graph works (ASan reports any access outside a -// partly grown array). +// The working-residual overlay and the per-source scratch grow with the graph. Each attempt runs +// on a new thread (its scratch empty) that first places on a 3-node graph, then the swept call on +// a larger one, so every allocation of that call fails once while its scratch grows from the +// small size; the failed call changes nothing, and a clean retry on the same graph (or the call +// itself, once no failure is reached) gives the reference call's result, every output included, +// ledger and epoch (ASan reports any access outside a partly grown array). The same call on a new +// thread whose scratch has first grown to the large graph allocates less: the sweep reached the +// growth. TEST(PolicyFaults, ScratchGrowthFailureLeavesNothingHalfGrown) { - int failures = 0; - std::int32_t n = 400; - for (long at = 0;; ++at, n += 300) { - std::vector chain; - for (NodeId u = 0; u + 1 < n; ++u) chain.push_back({u, u + 1, 5, 1}); - auto g = std::make_shared(make_graph(n, chain)); - FlowLedger fg(g); - FlowPolicy p(fg, std::vector {0}, std::vector {n - 1}, - FlowPolicyConfig {CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, - PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)}); - const LedgerState before = ledger_state(fg); - PlacementResult got; - const bool failed = fails_at(at, [&] { got = p.place(2, OutputOptions {true, true, true}); }); - if (failed) { - ++failures; - expect_same(ledger_state(fg), before, "growth allocation " + std::to_string(at)); - got = p.place(2, OutputOptions {true, true, true}); - } - EXPECT_EQ(got.placed, 2) << "growth allocation " << at; - expect_balanced(fg, "growth allocation " + std::to_string(at)); - if (!failed) break; + const FlowPolicyConfig cfg = cost_only_config(); + const OutputOptions all {true, true, true}; + const auto small = chain_graph(3, 5); + const auto large = chain_graph(3000, 5); + const std::int32_t n = large->num_nodes(); + // The reference: the call on a fresh ledger without a failure. + PlacementResult want; + LedgerState want_state; + Epoch want_epoch; + { + FlowLedger fg(large); + FlowPolicy p(fg, std::vector {0}, std::vector {n - 1}, cfg); + want = p.place(2, all); + want_state = ledger_state(fg); + want_epoch = epoch(p); } - EXPECT_GT(failures, 4); + ASSERT_EQ(want.placed, 2); // the whole chain carries the request: the comparison is not of zeros + sweep_scratch_growth( + "placement", + [&] { + FlowLedger fg(small); + FlowPolicy p(fg, std::vector {0}, std::vector {2}, cfg); + EXPECT_EQ(p.place(2, all).placed, 2); + }, + [&](long at, const std::string& w) { + FlowLedger fg(large); + FlowPolicy p(fg, std::vector {0}, std::vector {n - 1}, cfg); + const LedgerState before = ledger_state(fg); + const Epoch before_epoch = epoch(p); + PlacementResult got; + const bool failed = fails_at(at, [&] { got = p.place(2, all); }); + if (failed) { + expect_same(ledger_state(fg), before, w); + expect_same(epoch(p), before_epoch, w); + got = p.place(2, all); + } + expect_same(got, want, w); + expect_same(ledger_state(fg), want_state, w); + expect_same(epoch(p), want_epoch, w); + expect_balanced(fg, w); + return failed; + }, + [&] { + FlowLedger fg(large); + FlowPolicy p(fg, std::vector {0}, std::vector {n - 1}, cfg); + (void)p.place(2, all); // the scratch grows to the large graph + p.remove(); + long warm = 0; + while (fails_at(warm, [&] { + (void)p.place(2, all); + p.remove(); + })) { + ++warm; + } + return warm; + }); } TEST(PolicyFaults, FrozenLookupsFailWithoutCounting) { - // A frozen hit allocates only the key of roots that are not already a sorted set (roots that are - // one are borrowed: nothing; task 1d-msd), a frozen miss its key and the DagCacheMiss message, - // all before counting: a failure there counts nothing and changes no entry; a clean retry counts. + // A frozen lookup allocates a key only for roots that are not already a sorted set (a sorted set + // is borrowed: nothing), and a frozen miss builds the DagCacheMiss message, all before counting: + // a failure there counts nothing and changes no entry; a clean retry counts. const auto g = graph(); DagCache cache(*g); const std::vector unsorted = {6, 5}; @@ -487,6 +741,8 @@ TEST(PolicyFaults, FrozenLookupsFailWithoutCounting) { const auto& present = kind == 0 ? unsorted : sorted; long failures = 0; for (long at = 0;; ++at) { + const std::string w = std::string(hit ? "hit" : "miss") + " allocation " + std::to_string(at); + const long live = g_live.load(); const auto before = cache.stats(); bool missed = false; const auto call = [&] { @@ -497,8 +753,8 @@ TEST(PolicyFaults, FrozenLookupsFailWithoutCounting) { } }; const bool failed = fails_at(at, call); + EXPECT_EQ(g_live.load(), live) << w << ": a leak"; // the key and the miss's message are gone const auto s = cache.stats(); - const std::string w = std::string(hit ? "hit" : "miss") + " allocation " + std::to_string(at); EXPECT_EQ(s.entries, 1) << w; EXPECT_EQ(s.bytes, before.bytes) << w; EXPECT_EQ(s.live_values, before.live_values) << w; @@ -516,7 +772,7 @@ TEST(PolicyFaults, FrozenLookupsFailWithoutCounting) { if (kind == 1) { EXPECT_EQ(failures, 0) << "hit on a sorted set"; // borrowed: no allocation at all } else { - EXPECT_GE(failures, hit ? 1 : 2) << (hit ? "hit" : "miss"); // the key; the message (and a key) + EXPECT_GE(failures, hit ? 1 : 2) << (hit ? "hit" : "miss"); // the key; the message (sorted roots) } } } @@ -524,22 +780,26 @@ TEST(PolicyFaults, FrozenLookupsFailWithoutCounting) { namespace { void expect_stats(const DagCache::Stats& got, const DagCache::Stats& want, const std::string& where) { - EXPECT_EQ(got.hits, want.hits) << where; - EXPECT_EQ(got.misses, want.misses) << where; - EXPECT_EQ(got.entries, want.entries) << where; - EXPECT_EQ(got.bytes, want.bytes) << where; - EXPECT_EQ(got.live_values, want.live_values) << where; + EXPECT_EQ(stats_of(got), stats_of(want)) << where << " (hits, misses, entries, bytes, live values)"; } // One public call reading a supplied frozen cache, under every injected failure (every `step`-th // allocation in any thread, or every third in the worker threads only): a call failing with -// std::bad_alloc leaves all five statistics as they were; the call that completes adds exactly -// `hits` hits, or, when its outcome is the DagCacheMiss (`miss`), exactly one miss and no hit -// (NOTES R27). Returns the number of injected failures. +// std::bad_alloc leaves all five statistics as they were and no allocation live; the call that +// completes adds exactly `hits` hits, or, when its outcome is the DagCacheMiss (`miss`), exactly +// one miss and no hit. A clean call before the sweep grows the calling thread's scratch, which +// outlives the attempts (the workers' scratch ends with their threads). Returns the number of +// injected failures. long sweep_frozen_stats(const std::string& name, const DagCache& cache, bool in_workers, long step, std::int64_t hits, bool miss, const std::function& call) { + try { + call(); + } catch (const DagCacheMiss&) { + } long failures = 0; for (long at = 0;; at += in_workers ? 3 : step) { + const std::string w = name + " allocation " + std::to_string(at) + (in_workers ? " (worker threads)" : ""); + const long live = g_live.load(); const auto before = cache.stats(); bool missed = false; const auto fn = [&] { @@ -550,7 +810,7 @@ long sweep_frozen_stats(const std::string& name, const DagCache& cache, bool in_ } }; const bool failed = in_workers ? fails_in_workers_at(at, fn) : fails_at(at, fn); - const std::string w = name + " allocation " + std::to_string(at) + (in_workers ? " (worker threads)" : ""); + EXPECT_EQ(g_live.load(), live) << w << ": a leak"; auto want = before; if (failed) { ++failures; @@ -571,12 +831,36 @@ long sweep_frozen_stats(const std::string& name, const DagCache& cache, bool in_ } // namespace +// The cache comparisons of the sweeps report each defect they exist for: expect_stats any one of +// the five statistics changed; expect_whole_entries more entries than a clean call leaves, a +// value alive outside the cache, and payload bytes without an entry. +TEST(PolicyFaults, TheCacheComparatorsReportEveryDefect) { + const DagCache::Stats s {3, 2, 1, 40, 1}; + EXPECT_EQ(failures_of([&] { expect_stats(s, s, "same"); }), 0); + const std::vector> fields = { + [](auto& x) { ++x.hits; }, [](auto& x) { ++x.misses; }, [](auto& x) { ++x.entries; }, + [](auto& x) { ++x.bytes; }, [](auto& x) { ++x.live_values; }, + }; + for (std::size_t k = 0; k < fields.size(); ++k) { + DagCache::Stats x = s; + fields[k](x); + EXPECT_GT(failures_of([&] { expect_stats(x, s, "stats"); }), 0) << "statistic " << k; + } + EXPECT_EQ(failures_of([&] { expect_whole_entries(s, 1, "whole"); }), 0); + EXPECT_EQ(failures_of([&] { expect_whole_entries(DagCache::Stats {0, 0, 0, 0, 0}, 1, "empty"); }), 0); + EXPECT_GT(failures_of([&] { expect_whole_entries(s, 0, "more entries than a clean call"); }), 0); + EXPECT_GT(failures_of([&] { expect_whole_entries(DagCache::Stats {3, 2, 1, 40, 2}, 1, "a value outside"); }), 0); + EXPECT_GT(failures_of([&] { expect_whole_entries(DagCache::Stats {3, 2, 0, 40, 0}, 1, "bytes, no entry"); }), 0); +} + TEST(PolicyFaults, FrozenStatisticsFollowThePublicCall) { - // review-1d F1: a frozen cache's statistics are observable state (APPROACH 13; the building - // cache's limit 2 does not cover them). Every public call that can read a supplied frozen cache - // (the policy constructor in every mode, capacity in every mode, batch_capacity and sensitivity - // at 1, 2 and 4 workers, in any thread and in the worker threads only) is swept: hits, misses, - // entries, bytes and live values after a failed call equal those before it. + // A frozen cache's statistics are observable state (the memo allowance of a building cache + // does not cover them). Every public call that can read a supplied frozen cache is swept: the + // policy constructor and capacity in every mode; batch_capacity at 1, 2 and 4 workers, in any + // thread and in the worker threads only, with and without a miss; CostOnly sensitivity without + // a re-evaluated deletion at 1, 2 and 4 workers in any thread; and CostOnly sensitivity whose + // deletions miss at 1 worker in any thread and at 2 and 4 workers in the worker threads only. + // Hits, misses, entries, bytes and live values after a failed call equal those before it. const auto g = graph(); const auto all = modes(*g); DagCache cache(*g); @@ -639,19 +923,55 @@ TEST(PolicyFaults, FrozenStatisticsFollowThePublicCall) { } // CostOnly sensitivity whose deletions miss (a fresh uid per deletion): the baseline's hit is // dropped with the failed call, and the miss counts once. - EXPECT_GT(sweep_frozen_stats("frozen costonly sensitivity miss", cache, false, 1, 0, true, - [&] { - (void)sensitivity(*g, eb.sources, eb.destinations, - SensitivityOptions {eb.cfg, nullptr, &cache}, 1); - }), + const auto costonly_miss = [&](std::int32_t workers) { + (void)sensitivity(*g, eb.sources, eb.destinations, SensitivityOptions {eb.cfg, nullptr, &cache}, workers); + }; + EXPECT_GT(sweep_frozen_stats("frozen costonly sensitivity miss", cache, false, 1, 0, true, [&] { costonly_miss(1); }), 2); + // The same with the deletions evaluated by 2 and 4 workers, every third allocation of the + // worker threads failing. The tasks start in increasing index and the lowest failing index's + // exception is raised, so an injected failure either is raised (nothing counted) or loses to a + // lower deletion's miss (the miss counted once, no hit). + for (const std::int32_t workers : {2, 4}) { + const std::string w = "frozen costonly sensitivity miss, worker threads, workers " + std::to_string(workers); + long reached = 0, surfaced = 0; + for (long at = 0;; at += 3) { + const std::string where = w + " allocation " + std::to_string(at); + const long live = g_live.load(); + const auto before = cache.stats(); + bool missed = false; + bool bad_alloc = false; + const bool hit = reaches_in_workers_at( + at, + [&] { + try { + costonly_miss(workers); + } catch (const DagCacheMiss&) { + missed = true; + } + }, + bad_alloc); + EXPECT_EQ(g_live.load(), live) << where << ": a leak"; + EXPECT_NE(missed, bad_alloc) << where; // one outcome or the other + surfaced += hit && bad_alloc ? 1 : 0; + auto want = before; + if (missed) want.misses += 1; + expect_stats(cache.stats(), want, where); + if (!hit || ::testing::Test::HasFailure()) break; + ++reached; + } + EXPECT_GT(reached, 2) << w; + EXPECT_GT(surfaced, 0) << w; + } EXPECT_EQ(cache.stats().entries, 3); } TEST(PolicyFaults, WorkersSharingAFrozenCacheFailCleanly) { - // batch_capacity and CostOnly sensitivity with a frozen cache shared by two and four workers: - // a failure anywhere, or in the worker threads only, propagates as std::bad_alloc after the - // join, the cache keeps its entries, and a clean retry gives the reference. + // batch_capacity with a frozen cache shared by two and four workers, a failure anywhere or in + // the worker threads only, then CostOnly sensitivity with that cache on one worker (its + // statistics with two and four workers: the test above), and Global sensitivity, which reads no + // cache, on two and four workers: the failure propagates as std::bad_alloc after the join, the + // cache keeps its entries, and a clean retry gives the reference. const auto g = graph(); const auto all = modes(*g); const auto& m = all[1]; // costonly eb: reads the cache @@ -714,8 +1034,8 @@ TEST(PolicyFaults, WorkersSharingAFrozenCacheFailCleanly) { } }); EXPECT_GT(failures, 2) << "frozen sensitivity"; - // Global (deletion-mode) sensitivity with the frozen cache shared by every worker: it reads no - // cache, and fails and retries as without one. + // Global sensitivity (each deletion repaired from the baseline's state) with the frozen cache + // shared by every worker: it reads no cache, and fails and retries as without one. const auto git = std::find_if(all.begin(), all.end(), [](const Mode& x) { return x.name == "global"; }); ASSERT_NE(git, all.end()); const auto& gm = *git; diff --git a/tests/cpp/flow_policy_fixture_tests.cpp b/tests/cpp/flow_policy_fixture_tests.cpp index f0806b1..3bcae22 100644 --- a/tests/cpp/flow_policy_fixture_tests.cpp +++ b/tests/cpp/flow_policy_fixture_tests.cpp @@ -1,17 +1,21 @@ -// Prototype 2's 59 fixtures replayed through FlowPolicy (APPROACH 8, 9). +// The 59 fixtures of the independent reference replayed through FlowPolicy. // -// tests/data/policy_fixtures.json was exported from the reference, prototype 2 of the design tree -// (its "source" names it; the design tree is untracked by design; its maintained exporter is -// equivalence/export_policy_fixtures.py there): every ledger, policy and call -// of every fixture in order, with the prototype's values after each operation. The replay checks +// tests/data/policy_fixtures.json was exported from the independent reference (its +// frozen copy, the exporter, the regeneration check and the meaning of the data's historical +// "source" string: tests/reference/policy/README.md): every ledger, policy and call of every +// fixture in order, with the reference's values after each operation. The replay checks // every one of them on the engine: each call's result (placed, remaining, termination, local -// outcomes, flags, drops, the cost curve, the requested outputs), its trace (prototype 2's keys), +// outcomes, flags, drops, the cost curve, the requested outputs), its trace (the reference's keys), // the ledger after it (allocations, residuals, every record field, next FlowId, owners) and the // policy state (roster, requested, +inf, placed demand, usable bundles, per source the flows' -// ids, routes, T, deliveries, allocations, members and weights). An operation the prototype -// rejects must throw here too (the messages differ). Normalised on both sides: the T_max probe -// counts, the flow core's operation counters and ledger uids. The replay needs the private hooks -// (the trace and the creation cap; NETGRAPH_CORE_PRIVATE_HOOKS) and is skipped without them. +// ids, routes, T, deliveries, allocations, members and weights). An operation the reference +// rejects must throw std::invalid_argument here too (the messages differ); any other exception +// is a failure. Normalised on both sides: the T_max probe +// counts, the flow core's operation counters and ledger uids. The trace and the creation cap need +// the private hooks (NETGRAPH_CORE_PRIVATE_HOOKS): without them, in the shipped configuration, the +// replay compares everything but the trace on the 58 fixtures that keep the default cap, and the +// corruption test corrupts what that replay compares: every section but the trace, in those 58 +// fixtures. #include #include @@ -21,8 +25,11 @@ #include #include #include +#include #include #include +#include +#include #include #include #include @@ -44,10 +51,10 @@ #error "NETGRAPH_CORE_TEST_DATA (the tests/data directory) must be defined by the build" #endif -#if NETGRAPH_CORE_PRIVATE_HOOKS - using namespace netgraph::core; using detail::LedgerAccess; +using test::Int128; +using test::UInt128; namespace { @@ -57,7 +64,7 @@ struct J { enum class K { Null, Bool, Int, Dbl, Str, Arr, Obj }; K k {K::Null}; bool b {false}; - __int128 i {0}; + Int128 i {0}; double d {0.0}; std::string s {}; std::vector a {}; @@ -70,7 +77,7 @@ struct J { j.b = v; return j; } - static J integer(__int128 v) { + static J integer(Int128 v) { J j; j.k = K::Int; j.i = v; @@ -92,6 +99,7 @@ struct J { j.k = K::Obj; return j; } + // Builders for the replay. J& set(const std::string& key, J v) { k = K::Obj; o.emplace_back(key, std::move(v)); @@ -113,6 +121,7 @@ struct J { if (p == nullptr) throw std::runtime_error("missing key " + key); return *p; } + // Readers for the replay. [[nodiscard]] bool is_null() const { return k == K::Null; } [[nodiscard]] std::int64_t int64() const { if (k != K::Int) throw std::runtime_error("not an integer"); @@ -120,44 +129,6 @@ struct J { } }; -std::string int128_text(__int128 v) { - if (v == 0) return "0"; - const bool neg = v < 0; - unsigned __int128 u = neg ? static_cast(-(v + 1)) + 1 : static_cast(v); - std::string out; - while (u != 0) { - out.push_back(static_cast('0' + static_cast(u % 10))); - u /= 10; - } - if (neg) out.push_back('-'); - return {out.rbegin(), out.rend()}; -} - -std::string dump(const J& j) { - switch (j.k) { - case J::K::Null: return "null"; - case J::K::Bool: return j.b ? "true" : "false"; - case J::K::Int: return int128_text(j.i); - case J::K::Dbl: { - std::ostringstream os; - os << j.d; - return os.str(); - } - case J::K::Str: return "\"" + j.s + "\""; - case J::K::Arr: { - std::string out = "["; - for (std::size_t n = 0; n < j.a.size(); ++n) out += (n ? "," : "") + dump(j.a[n]); - return out + "]"; - } - case J::K::Obj: { - std::string out = "{"; - for (std::size_t n = 0; n < j.o.size(); ++n) out += (n ? "," : "") + ("\"" + j.o[n].first + "\":") + dump(j.o[n].second); - return out + "}"; - } - } - return "?"; -} - class Parser { public: explicit Parser(const std::string& text) : t_(text) {} @@ -285,7 +256,7 @@ class Parser { j.d = std::strtod(num.c_str(), nullptr); return j; } - __int128 v = 0; + Int128 v = 0; const bool neg = num[0] == '-'; for (std::size_t n = neg ? 1 : 0; n < num.size(); ++n) v = v * 10 + (num[n] - '0'); return J::integer(neg ? -v : v); @@ -308,6 +279,54 @@ const J& data() { return d; } +} // namespace + +TEST(PolicyFixtures, TheDataHoldsEveryReferenceFixture) { + const J& d = data(); + EXPECT_EQ(d.at("format").s, "p2-fixtures/1"); + EXPECT_EQ(d.at("fixtures").a.size(), 59U); +} + +namespace { + +std::string int128_text(Int128 v) { + if (v == 0) return "0"; + const bool neg = v < 0; + UInt128 u = neg ? static_cast(-(v + 1)) + 1 : static_cast(v); + std::string out; + while (u != 0) { + out.push_back(static_cast('0' + static_cast(u % 10))); + u /= 10; + } + if (neg) out.push_back('-'); + return {out.rbegin(), out.rend()}; +} + +std::string dump(const J& j) { + switch (j.k) { + case J::K::Null: return "null"; + case J::K::Bool: return j.b ? "true" : "false"; + case J::K::Int: return int128_text(j.i); + case J::K::Dbl: { + std::ostringstream os; + os << j.d; + return os.str(); + } + case J::K::Str: return "\"" + j.s + "\""; + case J::K::Arr: { + std::string out = "["; + for (std::size_t n = 0; n < j.a.size(); ++n) out += (n ? "," : "") + dump(j.a[n]); + return out + "]"; + } + case J::K::Obj: { + std::string out = "{"; + for (std::size_t n = 0; n < j.o.size(); ++n) out += (n ? "," : "") + ("\"" + j.o[n].first + "\":") + dump(j.o[n].second); + return out + "}"; + } + } + return "?"; +} + // Structural equality; objects by key set, arrays in order. `why` names the first difference. bool same(const J& a, const J& b, const std::string& path, std::string& why) { if (a.k != b.k) { @@ -364,7 +383,7 @@ bool same(const J& a, const J& b, const std::string& path, std::string& why) { template J ints(const T& v) { J j = J::arr(); - for (const auto& x : v) j.push(J::integer(static_cast<__int128>(x))); + for (const auto& x : v) j.push(J::integer(static_cast(x))); return j; } @@ -373,15 +392,15 @@ J pairs(const std::vector>& v) { J j = J::arr(); for (const auto& [x, y] : v) { J p = J::arr(); - p.push(J::integer(static_cast<__int128>(x))); - p.push(J::integer(static_cast<__int128>(y))); + p.push(J::integer(static_cast(x))); + p.push(J::integer(static_cast(y))); j.push(std::move(p)); } return j; } -__int128 wide(const Counter128& c) { - return (static_cast<__int128>(c.hi) << 64) | static_cast<__int128>(c.lo); +Int128 wide(const Counter128& c) { + return test::int128_of(static_cast(c.hi), c.lo); } const char* placement_name(FlowPlacement p) { @@ -567,21 +586,19 @@ std::vector endpoints(const J& j) { return int32s(j); } -std::shared_ptr dag_of(const Graph& g, std::vector edges) { - std::sort(edges.begin(), edges.end()); - std::vector> per(static_cast(g.num_nodes())); - for (EdgeId e : edges) per[static_cast(g.edge_dst()[static_cast(e)])].push_back(e); - std::vector offsets {0}; - std::vector parents; - std::vector via; - for (const auto& entries : per) { - for (EdgeId e : entries) { - parents.push_back(g.edge_src()[static_cast(e)]); - via.push_back(e); - } - offsets.push_back(static_cast(via.size())); - } - return std::make_shared(PredDAG::from_csr(g, offsets, parents, via)); +// A name in the data that the replay does not know: the data and the replay disagree, which is a +// failure of the replay, never a rejection by the engine. +struct UnknownName : std::runtime_error { + using std::runtime_error::runtime_error; +}; + +// The value the data names `name` among `values`; any other name throws UnknownName. +template +T named(const std::string& what, const std::string& name, std::initializer_list> values) { + for (const auto& [n, v] : values) { + if (n == name) return v; + } + throw UnknownName("the data names an unknown " + what + " (" + name + ")"); } FlowPolicyConfig config_of(const Graph& g, const J& c) { @@ -592,7 +609,7 @@ FlowPolicyConfig config_of(const Graph& g, const J& c) { routing = Global {}; } else if (kind == "Pinned") { Pinned p; - for (const auto& b : r.at("bundles").a) p.bundles.push_back(dag_of(g, int32s(b))); + for (const auto& b : r.at("bundles").a) p.bundles.push_back(test::dag_of(g, int32s(b))); routing = std::move(p); } else if (kind == "CapacityAware") { CapacityAware ca; @@ -602,8 +619,10 @@ FlowPolicyConfig config_of(const Graph& g, const J& c) { const J& mc = r.at("max_path_cost"); if (mc.a[0].s == "Absolute") { ca.max_path_cost = Absolute {mc.a[1].int64()}; - } else { + } else if (mc.a[0].s == "Stretch") { ca.max_path_cost = Stretch {mc.a[1].k == J::K::Dbl ? mc.a[1].d : static_cast(mc.a[1].int64())}; + } else { + throw UnknownName("the data names an unknown cost ceiling (" + mc.a[0].s + ")"); } } ca.min_flow_bandwidth = r.at("min_flow_bandwidth").int64(); @@ -614,34 +633,61 @@ FlowPolicyConfig config_of(const Graph& g, const J& c) { d.a[1].k == J::K::Dbl ? d.a[1].d : static_cast(d.a[1].int64())}; } routing = ca; + } else if (kind != "CostOnly") { + throw UnknownName("the data names an unknown routing (" + kind + ")"); } - const std::string placement = c.at("placement").s; - const FlowPlacement fp = placement == "MaxFlow" ? FlowPlacement::MaxFlow - : placement == "Weighted" ? FlowPlacement::Weighted - : FlowPlacement::EqualBalanced; - const Admission adm = c.at("admission").s == "Lossy" ? Admission::Lossy : Admission::Lossless; + const FlowPlacement fp = named("placement", c.at("placement").s, + {{"MaxFlow", FlowPlacement::MaxFlow}, + {"Weighted", FlowPlacement::Weighted}, + {"EqualBalanced", FlowPlacement::EqualBalanced}}); + const Admission adm = named("admission", c.at("admission").s, + {{"Lossless", Admission::Lossless}, {"Lossy", Admission::Lossy}}); const J& sel = c.at("selection"); - const EdgeTieBreak tie = - sel.at("tie_break").s == "Deterministic" ? EdgeTieBreak::Deterministic : EdgeTieBreak::PreferHigherPriority; - const std::string pr = sel.at("priority").s; - const EdgePriority prio = pr == "Residual" ? EdgePriority::Residual - : pr == "Capacity" ? EdgePriority::Capacity - : EdgePriority::Headroom; + const EdgeTieBreak tie = named( + "tie break", sel.at("tie_break").s, + {{"Deterministic", EdgeTieBreak::Deterministic}, {"PreferHigherPriority", EdgeTieBreak::PreferHigherPriority}}); + const EdgePriority prio = named("priority", sel.at("priority").s, + {{"Residual", EdgePriority::Residual}, + {"Capacity", EdgePriority::Capacity}, + {"Headroom", EdgePriority::Headroom}}); return FlowPolicyConfig {std::move(routing), fp, adm, PathSelection(tie, prio, sel.at("multipath").b, sel.at("multi_edge").b)}; } +#if NETGRAPH_CORE_PRIVATE_HOOKS // Restores the creation cap whatever happens. struct CapGuard { std::int64_t old {detail::max_flows_per_call().load()}; ~CapGuard() { detail::max_flows_per_call().store(old); } }; +#endif -// Replays one fixture; returns the failures (empty when every value matches). -std::vector replay(const J& fx) { +// Whether every call of the fixture keeps the default creation cap (without the hooks the cap +// cannot be lowered, so a fixture that lowers it replays only with them). +bool default_cap(const J& fx) { + return std::all_of(fx.at("ops").a.begin(), fx.at("ops").a.end(), [](const J& op) { + const J* cap = op.get("cap"); + return cap == nullptr || cap->int64() == kMaxFlowsPerCall; + }); +} + +// Replays one fixture; returns the failures (empty when every value matches). `compared`, when +// given, counts the expectations compared. `after_rejected_call`, when given, runs with the +// operation's index and its policy right after each call the reference rejects, before the policy +// is compared with its state before the call (the negative control of that comparison changes the +// policy there). `inside_call`, when given, runs with the operation's index inside the guarded +// part of every ledger, copy, reset, policy and placement operation, before the engine's call (the +// negative control of the rejection rule throws there). The engine rejects an operation with +// std::invalid_argument only; any other exception (an internal invariant's std::logic_error, +// std::bad_alloc, a reader of the data) is a failure, also where the reference rejects. +std::vector replay(const J& fx, std::size_t* compared = nullptr, + const std::function& after_rejected_call = {}, + const std::function& inside_call = {}) { std::vector fails; const std::string name = fx.at("name").s; +#if NETGRAPH_CORE_PRIVATE_HOOKS CapGuard guard; +#endif std::vector> graphs; for (const auto& spec : fx.at("graphs").a) { std::vector edges; @@ -665,11 +711,19 @@ std::vector replay(const J& fx) { std::deque eligs; std::vector> policies; std::vector policy_ledger; - std::vector curves; // per policy: the cumulative Global curve of the epoch (F5 normalisation) + std::vector curves; // per policy: the cumulative Global curve of the epoch (zero-call check below) auto check = [&](const std::string& where, const char* what, const J& expected, const J& actual) { + if (compared != nullptr) ++*compared; std::string why; if (!same(expected, actual, what, why)) fails.push_back(name + " " + where + ": " + why); }; + auto not_a_rejection = [&](const std::string& where, const std::exception& e) { + fails.push_back(name + " " + where + ": throws an exception other than a rejection: " + e.what()); + return fails; + }; + auto planted = [&](std::size_t n) { + if (inside_call) inside_call(n); + }; const auto& ops = fx.at("ops").a; for (std::size_t n = 0; n < ops.size(); ++n) { const J& op = ops[n]; @@ -680,15 +734,21 @@ std::vector replay(const J& fx) { if (kind == "ledger") { const auto& g = graphs[static_cast(op.at("graph").int64())]; try { + planted(n); if (op.at("baseline").is_null()) { ledgers.emplace_back(g); } else { ledgers.emplace_back(g, amounts(op.at("baseline"))); } - if (error) fails.push_back(name + " " + where + ": accepted, the prototype rejects it"); + if (error) fails.push_back(name + " " + where + ": accepted, the reference rejects it"); ledger_of_id.push_back(&ledgers.back()); + } catch (const std::invalid_argument& e) { + if (!error) { + fails.push_back(name + " " + where + ": throws " + e.what()); + return fails; // the later operations name a ledger that does not exist + } } catch (const std::exception& e) { - if (!error) fails.push_back(name + " " + where + ": throws " + e.what()); + return not_a_rejection(where, e); } continue; } @@ -696,6 +756,7 @@ std::vector replay(const J& fx) { FlowLedger& fg = *ledger_of_id[static_cast(op.at("ledger").int64())]; bool threw = false; try { + planted(n); if (kind == "copy") { ledgers.emplace_back(fg); ledger_of_id.push_back(&ledgers.back()); @@ -704,11 +765,13 @@ std::vector replay(const J& fx) { } else { fg.reset(amounts(op.at("baseline"))); } - } catch (const std::exception&) { + } catch (const std::invalid_argument&) { threw = true; + } catch (const std::exception& e) { + return not_a_rejection(where, e); } if (threw != error) { - fails.push_back(name + " " + where + (error ? ": accepted, the prototype rejects it" : ": throws")); + fails.push_back(name + " " + where + (error ? ": accepted, the reference rejects it" : ": throws")); return fails; } const FlowLedger& shown = (kind == "copy" && !error) ? ledgers.back() : fg; @@ -720,6 +783,7 @@ std::vector replay(const J& fx) { const auto& g = *fg.graph(); std::unique_ptr pol; try { + planted(n); const Eligibility* elig = nullptr; if (!op.at("elig").is_null()) { eligs.push_back(g.eligibility(int32s(op.at("elig").at("nodes")), int32s(op.at("elig").at("edges")))); @@ -728,12 +792,20 @@ std::vector replay(const J& fx) { auto cfg = config_of(g, op.at("config")); pol = std::make_unique(fg, endpoints(op.at("sources")), endpoints(op.at("destinations")), std::move(cfg), elig); - } catch (const std::exception& e) { - if (!error) fails.push_back(name + " " + where + ": throws " + e.what()); + } catch (const UnknownName& e) { + fails.push_back(name + " " + where + ": " + e.what()); + return fails; + } catch (const std::invalid_argument& e) { + if (!error) { + fails.push_back(name + " " + where + ": throws " + e.what()); + return fails; // the later operations name a policy that does not exist + } continue; + } catch (const std::exception& e) { + return not_a_rejection(where, e); } if (error) { - fails.push_back(name + " " + where + ": accepted, the prototype rejects it"); + fails.push_back(name + " " + where + ": accepted, the reference rejects it"); return fails; } policies.push_back(std::move(pol)); @@ -744,6 +816,11 @@ std::vector replay(const J& fx) { } const auto pi = static_cast(op.at("policy").int64()); const FlowLedger& fg = *policy_ledger[pi]; + if ((kind == "destroy" || kind == "remove") && error) { + // Neither can fail here, so a reference that rejects one is a difference. + fails.push_back(name + " " + where + ": accepted, the reference rejects it"); + return fails; + } if (kind == "destroy") { policies[pi] = nullptr; // the destruction law: the records stay as orphans check(where, "ledger", expect->at("ledger"), ledger_json(fg)); @@ -757,7 +834,10 @@ std::vector replay(const J& fx) { check(where, "policy", expect->at("policy"), policy_json(pol)); continue; } - // place + if (kind != "place") { + fails.push_back(name + " " + where + ": an unknown operation"); + return fails; + } std::optional volume; if (op.at("volume").k == J::K::Int) volume = op.at("volume").int64(); if (op.at("volume").k == J::K::Str && op.at("volume").s != "inf") { @@ -765,8 +845,8 @@ std::vector replay(const J& fx) { continue; } if (op.at("volume").k == J::K::Dbl) { - // A non-integer request: the prototype rejects it, as the bindings do; C++ has no such value. - if (!error) fails.push_back(name + " " + where + ": a non-integer request accepted by the prototype"); + // A non-integer request: the reference rejects it, as the bindings do; C++ has no such value. + if (!error) fails.push_back(name + " " + where + ": a non-integer request accepted by the reference"); continue; } OutputOptions outputs; @@ -774,28 +854,45 @@ std::vector replay(const J& fx) { const auto& o = op.at("outputs").a; outputs = OutputOptions {o[0].b, o[1].b, o[2].b}; } +#if NETGRAPH_CORE_PRIVATE_HOOKS detail::max_flows_per_call().store(op.at("cap").int64()); +#endif + const J policy_before = error ? policy_json(pol) : J::null(); detail::Trace trace; PlacementResult r; bool threw = false; try { + planted(n); +#if NETGRAPH_CORE_PRIVATE_HOOKS r = detail::place_traced(pol, volume, outputs, trace); - } catch (const std::exception&) { +#else + r = pol.place(volume, outputs); +#endif + } catch (const std::invalid_argument&) { threw = true; + } catch (const std::exception& e) { + return not_a_rejection(where, e); } if (threw != error) { - fails.push_back(name + " " + where + (error ? ": accepted, the prototype rejects it" : ": throws")); + fails.push_back(name + " " + where + (error ? ": accepted, the reference rejects it" : ": throws")); return fails; } if (error) { + if (after_rejected_call) after_rejected_call(n, pol); + // A rejected call leaves the ledger as the reference has it and the policy as it was (the + // data holds no policy section for it, so this comparison is not an expectation). check(where, "ledger", expect->at("ledger"), ledger_json(fg)); + std::string why; + if (!same(policy_before, policy_json(pol), "policy", why)) { + fails.push_back(name + " " + where + ": the rejected call changed the policy: " + why); + } continue; } J actual = result_json(r); const J& expected_result = expect->at("result"); if (std::holds_alternative(pol.config().routing)) { - // Contract over prototype (1c NOTES P3, review-1c F5): a Global zero call reports the - // policy's cumulative curve (9.1), which prototype 2 omits; it must equal the curve of the + // Where the engine reports more than the reference: a Global zero call reports the + // policy's cumulative curve, which the reference omits; it must equal the curve of the // epoch's last positive call ([] before any), and only then is it set aside. const J* got = actual.get("cost_distribution"); if (volume.has_value() && *volume == 0 && expected_result.get("cost_distribution") == nullptr && got != nullptr) { @@ -808,7 +905,7 @@ std::vector replay(const J& fx) { if (const J* c = expected_result.get("cost_distribution"); c != nullptr) curves[pi] = *c; } check(where, "result", expected_result, actual); - check(where, "trace", expect->at("trace"), trace_json(trace)); + if (detail::kTraced) check(where, "trace", expect->at("trace"), trace_json(trace)); check(where, "ledger", expect->at("ledger"), ledger_json(fg)); check(where, "policy", expect->at("policy"), policy_json(pol)); } @@ -817,75 +914,358 @@ std::vector replay(const J& fx) { } // namespace -TEST(PolicyFixtures, TheDataHoldsEveryPrototypeFixture) { +TEST(PolicyFixtures, EveryFixtureReplaysIdentically) { const J& d = data(); - EXPECT_EQ(d.at("format").s, "p2-fixtures/1"); - EXPECT_EQ(d.at("fixtures").a.size(), 59U); + std::size_t sections = 0; // the expectations the data holds (without the hooks: no trace) + std::size_t compared = 0; // the expectations the replay compared + std::size_t replayed = 0; + for (const auto& fx : d.at("fixtures").a) { + if (!detail::kTraced && !default_cap(fx)) continue; + ++replayed; + for (const auto& op : fx.at("ops").a) { + if (const J* expect = op.get("expect"); expect != nullptr) { + sections += expect->o.size() - (!detail::kTraced && expect->get("trace") != nullptr ? 1 : 0); + } + } + const auto fails = replay(fx, &compared); + for (const auto& f : fails) ADD_FAILURE() << f; + } + // With the hooks every fixture; without them all but the one that lowers the creation cap. + EXPECT_EQ(replayed, detail::kTraced ? 59U : 58U); + EXPECT_GT(sections, 1000U); + EXPECT_EQ(compared, sections); // every expectation was compared, none skipped } -TEST(PolicyFixtures, EveryFixtureReplaysIdentically) { +namespace { + +// One leaf changed: a null becomes 0, a boolean flips, a number grows by one, a string gains a +// character. Returns its kind: 0 integer, 1 boolean, 2 string, 3 other. +int corrupt(J& leaf) { + switch (leaf.k) { + case J::K::Null: leaf = J::integer(0); return 3; + case J::K::Bool: leaf.b = !leaf.b; return 1; + case J::K::Int: leaf.i += 1; return 0; + case J::K::Dbl: leaf.d += 1.0; return 3; + case J::K::Str: leaf.s += "#"; return 2; + default: return 3; + } +} + +// The member `key` of an object, for writing. +J& member(J& x, const std::string& key) { + for (auto& [k, v] : x.o) { + if (k == key) return v; + } + throw std::out_of_range("no member " + key); +} + +// The first leaf of x in document order (an empty container has none); nullptr when x has none. +J* first_leaf(J& x) { + if (x.k == J::K::Arr) { + for (auto& y : x.a) { + if (J* l = first_leaf(y); l != nullptr) return l; + } + return nullptr; + } + if (x.k == J::K::Obj) { + for (auto& [k, y] : x.o) { + if (J* l = first_leaf(y); l != nullptr) return l; + } + return nullptr; + } + return &x; +} + +// Whether the replay of fx reports a failure that starts with `prefix`. +bool reported(const J& fx, const std::string& prefix) { + return test::has_failure(replay(fx), prefix); +} + +// The replay's other failure clauses, each reported at the operation it concerns: the first leaf +// of every section of every other operation's expectations (failed placements, policies, copies, +// resets, removals, destructions); the error flag of the first operation of every kind and +// outcome in each fixture; the input order of the first graph; an unknown operation; a ledger the +// data accepts and the engine rejects; an unknown and a non-integer volume; the curve a Global +// zero call reports, against the remembered one; a policy changed by a call the data rejects; +// an exception other than a rejection; and a configuration name the replay does not know. +// Without the hooks the fixture that lowers the creation cap is left out, as in the replay test; +// it holds no operation kind or outcome the others lack, so the expected sets are the same. +void expect_every_other_clause_reported() { const J& d = data(); - std::size_t ops = 0; + std::set sections; // "kind error key" combinations corrupted + std::set flags; // "kind error" combinations flipped + std::size_t exercised = 0; // fixtures whose clauses were exercised for (const auto& fx : d.at("fixtures").a) { - ops += fx.at("ops").a.size(); - const auto fails = replay(fx); - for (const auto& f : fails) ADD_FAILURE() << f; + if (!detail::kTraced && !default_cap(fx)) continue; + ++exercised; + const std::string name = fx.at("name").s; + ASSERT_TRUE(replay(fx).empty()) << name; + std::set flipped; + for (std::size_t n = 0; n < fx.at("ops").a.size(); ++n) { + const J& op = fx.at("ops").a[n]; + const std::string kind = op.at("op").s; + const bool error = op.at("error").b; + const std::string combination = kind + (error ? " failed" : " ok"); + const std::string at = name + " op " + std::to_string(n) + " (" + kind + ")"; + if (const J* expect = op.get("expect"); expect != nullptr && (kind != "place" || error)) { + for (const auto& [key, section] : expect->o) { + J copy = fx; + J* leaf = first_leaf(member(member(member(copy, "ops").a[n], "expect"), key)); + ASSERT_NE(leaf, nullptr) << at << " " << key; + corrupt(*leaf); + EXPECT_TRUE(reported(copy, at + ": " + key)) << "undetected: " << at << " " << key; + sections.insert(combination + " " + key); + } + } + if (flipped.insert(combination).second) { + J copy = fx; + auto& flag = member(member(copy, "ops").a[n], "error"); + flag.b = !flag.b; + EXPECT_TRUE(reported(copy, at + ": ")) << "undetected error flag: " << at; + flags.insert(combination); + } + } + J reordered = fx; + J* first = first_leaf(member(member(reordered, "graphs").a[0], "input_index")); + ASSERT_NE(first, nullptr) << name; + corrupt(*first); + EXPECT_TRUE(reported(reordered, name + ": the engine ranks the edges differently")) << name; } - EXPECT_GT(ops, 600U); + EXPECT_EQ(exercised, detail::kTraced ? 59U : 58U); + // Every section of every other operation kind and outcome in the data, and every flag. + EXPECT_EQ(sections, (std::set {"copy failed ledger", "destroy ok ledger", "place failed ledger", + "policy ok policy", "remove ok ledger", "remove ok policy", + "reset failed ledger", "reset ok ledger"})); + EXPECT_EQ(flags, (std::set {"copy failed", "destroy ok", "ledger ok", "place failed", "place ok", + "policy failed", "policy ok", "remove ok", "reset failed", "reset ok"})); + // Op 3 of global_epochs renamed: an unknown operation. + const auto& fixtures = d.at("fixtures").a; + const auto& epochs = *std::find_if(fixtures.begin(), fixtures.end(), + [](const J& fx) { return fx.at("name").s == "global_epochs"; }); + ASSERT_EQ(epochs.at("ops").a[3].at("op").s, "place"); + J renamed = epochs; + member(member(renamed, "ops").a[3], "op") = J::str("move"); + EXPECT_TRUE(reported(renamed, "global_epochs op 3 (move): an unknown operation")); + // A ledger the data accepts and the engine rejects: op 0's baseline, one entry for two edges. + ASSERT_EQ(epochs.at("ops").a[0].at("op").s, "ledger"); + J rejected = epochs; + auto& baseline = member(member(rejected, "ops").a[0], "baseline"); + baseline = J::arr(); + baseline.a.push_back(J::integer(-1)); + EXPECT_TRUE(reported(rejected, "global_epochs op 0 (ledger): throws ")); + // The volume of op 3 of global_epochs: neither "inf" nor an integer, then a non-integer number + // the data says is accepted. + J unknown = epochs; + member(member(unknown, "ops").a[3], "volume") = J::str("many"); + EXPECT_TRUE(reported(unknown, "global_epochs op 3 (place): unexpected volume")); + J fractional = epochs; + auto& volume = member(member(fractional, "ops").a[3], "volume"); + volume.k = J::K::Dbl; + volume.d = 0.5; + EXPECT_TRUE(reported(fractional, "global_epochs op 3 (place): a non-integer request accepted")); + // Op 2 of global_epochs is a Global zero call on a fresh policy, op 3 a positive call with the + // curve [[1, 1]]. With op 3 moved before op 2, the zero call reports [[1, 1]], the remembered + // curve (the zero call's other sections, recorded before the positive call, differ); with op + // 3's curve changed as well, the two curves differ too. + const std::string zero_call = "global_epochs op 3 (place): the zero call's curve is not the cumulative one"; + ASSERT_EQ(dump(epochs.at("ops").a[2].at("volume")), "0"); + J swapped = epochs; + auto& ops = member(swapped, "ops").a; + std::swap(ops[2], ops[3]); + ASSERT_FALSE(reported(swapped, zero_call)); + J* cost = first_leaf(member(member(member(ops[2], "expect"), "result"), "cost_distribution")); + ASSERT_NE(cost, nullptr); + corrupt(*cost); + EXPECT_TRUE(reported(swapped, "global_epochs op 2 (place): result")); + EXPECT_TRUE(reported(swapped, zero_call)); + // Every call the data rejects, with the policy changed after it (its +inf flag flipped; after + // that call only): the comparison with the policy before the call reports it. + std::size_t rejected_calls = 0; + for (const auto& fx : fixtures) { + for (std::size_t n = 0; n < fx.at("ops").a.size(); ++n) { + const J& op = fx.at("ops").a[n]; + if (op.at("op").s != "place" || !op.at("error").b) continue; + ++rejected_calls; + const auto fails = replay(fx, nullptr, [n](std::size_t at, FlowPolicy& p) { + if (at != n) return; + auto& engine = detail::PolicyAccess::engine(p); + engine.infinite = !engine.infinite; + }); + const std::string at = fx.at("name").s + " op " + std::to_string(n) + " (place)"; + EXPECT_TRUE(test::has_failure(fails, at + ": the rejected call changed the policy")) << at; + } + } + EXPECT_EQ(rejected_calls, 4U); + // An exception other than std::invalid_argument (an internal invariant's std::logic_error) + // thrown inside the first operation of each kind, the first one the data rejects where there + // is one: a failure at that operation, never taken for the expected rejection. + std::set planted; + for (const std::string kind : {"ledger", "copy", "reset", "policy", "place"}) { + const J* chosen = nullptr; + std::size_t at = 0; + for (const auto& fx : fixtures) { + for (std::size_t n = 0; n < fx.at("ops").a.size(); ++n) { + const J& op = fx.at("ops").a[n]; + if (op.at("op").s != kind) continue; + if (chosen == nullptr || (op.at("error").b && !chosen->at("ops").a[at].at("error").b)) { + chosen = &fx; + at = n; + } + } + } + ASSERT_NE(chosen, nullptr) << kind; + const bool error = chosen->at("ops").a[at].at("error").b; + planted.insert(kind + (error ? " failed" : " ok")); + const auto fails = replay(*chosen, nullptr, {}, [at](std::size_t n) { + if (n == at) throw std::logic_error("planted"); + }); + const std::string where = chosen->at("name").s + " op " + std::to_string(at) + " (" + kind + ")"; + EXPECT_TRUE(test::has_failure(fails, where + ": throws an exception other than a rejection: planted")) << where; + } + EXPECT_EQ(planted, + (std::set {"copy failed", "ledger ok", "place failed", "policy failed", "reset failed"})); + // A name the replay does not know, in the configuration of global_epochs' policy (op 1) and, + // for the cost ceiling, of creation_fewer_routes' CapacityAware policy (op 1): a failure of the + // replay, never taken for the engine rejecting the policy. + ASSERT_EQ(epochs.at("ops").a[1].at("op").s, "policy"); + for (const std::string path : + {"routing kind", "placement", "admission", "selection tie_break", "selection priority"}) { + J copy = epochs; + J* config = &member(member(copy, "ops").a[1], "config"); + std::string key = path; + if (const auto space = path.find(' '); space != std::string::npos) { + config = &member(*config, path.substr(0, space)); + key = path.substr(space + 1); + } + member(*config, key) = J::str("Unknown"); + EXPECT_TRUE(reported(copy, "global_epochs op 1 (policy): the data names an unknown ")) << path; + } + const auto& fewer = *std::find_if(fixtures.begin(), fixtures.end(), + [](const J& fx) { return fx.at("name").s == "creation_fewer_routes"; }); + J ceiling = fewer; + auto& routing = member(member(member(ceiling, "ops").a[1], "config"), "routing"); + ASSERT_EQ(routing.at("kind").s, "CapacityAware"); + J bound = J::arr(); + bound.push(J::str("Unknown")); + bound.push(J::integer(5)); + member(routing, "max_path_cost") = std::move(bound); + EXPECT_TRUE( + reported(ceiling, "creation_fewer_routes op 1 (policy): the data names an unknown cost ceiling (Unknown)")); +} + +// The comparison's structural clauses, which the leaf corruptions above never reach: equal +// values pass, and an array of another length, a key the engine lacks, a key only the engine has +// and a value of another kind each fail with their own message. +void expect_the_comparison_reports_shape_differences() { + auto diff = [](const std::string& expected, const std::string& engine) { + std::string why; + return same(Parser(expected).parse(), Parser(engine).parse(), "x", why) ? std::string("same") : why; + }; + EXPECT_EQ(diff(R"({"a": [1, 2], "b": null})", R"({"b": null, "a": [1, 2]})"), "same"); + EXPECT_EQ(diff("[1, 2]", "[1]"), "x: length 2 (expected) != 1 (engine): [1,2] vs [1]"); + EXPECT_EQ(diff("[1]", "[1, 2]"), "x: length 1 (expected) != 2 (engine): [1] vs [1,2]"); + EXPECT_EQ(diff(R"({"a": 1, "b": 2})", R"({"a": 1})"), "x.b: missing in the engine's value"); + EXPECT_EQ(diff(R"({"a": 1})", R"({"a": 1, "c": 3})"), "x.c: only in the engine's value (3)"); + EXPECT_EQ(diff(R"({"a": [1]})", R"({"a": 1})"), "x.a: [1] (expected) != 1 (engine)"); + EXPECT_EQ(diff("[[1, 2]]", "[[1, 3]]"), "x[0][1]: 2 (expected) != 3 (engine)"); } -// The comparison is not vacuous: a corrupted expectation is reported. +} // namespace + +// The comparison is not vacuous: a corrupted expectation is reported at the operation and by the +// section it changes. In the first successful placement of every fixture, each section (result, +// trace, ledger, policy) gets several single corruptions: its first and last integer, boolean +// and string leaves, and one leaf drawn at random. Then the replay's other clauses and the +// comparison's structural clauses (above). Without the hooks the replay compares no trace and +// leaves out the fixture that lowers the creation cap, so neither is corrupted; the counts below +// are those of each configuration (the random draws come from std::mt19937_64, whose sequence the +// standard fixes, so they are the same with every standard library). TEST(PolicyFixtures, ACorruptedExpectationFails) { const J& d = data(); + std::mt19937_64 rng(837); std::size_t corrupted = 0; std::size_t detected = 0; + std::size_t fixtures = 0; // fixtures whose first successful placement was corrupted + std::size_t kinds[4] = {0, 0, 0, 0}; // integers, booleans, strings, others for (const auto& fx : d.at("fixtures").a) { - for (std::size_t n = 0; n < fx.at("ops").a.size() && corrupted < 200; ++n) { + if (!detail::kTraced && !default_cap(fx)) continue; + for (std::size_t n = 0; n < fx.at("ops").a.size(); ++n) { const J& op = fx.at("ops").a[n]; if (op.at("op").s != "place" || op.at("error").b) continue; - for (const char* key : {"result", "trace", "ledger", "policy"}) { - J copy = fx; - J* ops = nullptr; - for (auto& [k, v] : copy.o) { - if (k == "ops") ops = &v; - } - J* exp = nullptr; - for (auto& [k, v] : ops->a[n].o) { - if (k == "expect") exp = &v; - } - for (auto& [k, v] : exp->o) { - if (k != key) continue; - // Corrupt the first integer field of this value. - std::function corrupt = [&](J& x) { - if (x.k == J::K::Int) { - x.i += 1; - return true; - } - for (auto& y : x.a) { - if (corrupt(y)) return true; - } - for (auto& [kk, y] : x.o) { - if (corrupt(y)) return true; + ++fixtures; + for (const std::string key : {"result", "trace", "ledger", "policy"}) { + if (!detail::kTraced && key == "trace") continue; + // The leaves of the section in document order, as paths of child indices. + std::vector> leaves; + std::vector path; + std::function walk = [&](const J& x) { + if (x.k == J::K::Arr || x.k == J::K::Obj) { + const std::size_t count = x.k == J::K::Arr ? x.a.size() : x.o.size(); + for (std::size_t i = 0; i < count; ++i) { + path.push_back(i); + walk(x.k == J::K::Arr ? x.a[i] : x.o[i].second); + path.pop_back(); } - return false; - }; - if (!corrupt(v)) continue; + return; + } + leaves.push_back(path); + }; + const J& section = op.at("expect").at(key); + walk(section); + auto leaf = [](auto& root, const std::vector& at) -> auto& { + auto* x = &root; + for (std::size_t i : at) x = x->k == J::K::Arr ? &x->a[i] : &x->o[i].second; + return *x; + }; + std::set> picks; + for (const J::K kind : {J::K::Int, J::K::Bool, J::K::Str}) { + std::vector> of_kind; + for (const auto& at : leaves) { + if (leaf(section, at).k == kind) of_kind.push_back(at); + } + if (!of_kind.empty()) { + picks.insert(of_kind.front()); + picks.insert(of_kind.back()); + } + } + if (!leaves.empty()) picks.insert(leaves[rng() % leaves.size()]); + for (const auto& at : picks) { + J copy = fx; + J* ops = nullptr; + for (auto& [k, v] : copy.o) { + if (k == "ops") ops = &v; + } + J* exp = nullptr; + for (auto& [k, v] : ops->a[n].o) { + if (k == "expect") exp = &v; + } + J* target = nullptr; + for (auto& [k, v] : exp->o) { + if (k == key) target = &leaf(v, at); + } + ASSERT_NE(target->k, J::K::Arr) << "a container is not a leaf"; + ASSERT_NE(target->k, J::K::Obj) << "a container is not a leaf"; + ++kinds[corrupt(*target)]; ++corrupted; - if (!replay(copy).empty()) ++detected; + // Reported at this op, by the comparison of this section. + const std::string where = fx.at("name").s + " op " + std::to_string(n) + " (place): " + key; + if (reported(copy, where)) { + ++detected; + } else { + ADD_FAILURE() << "undetected: " << where; + } } } break; // one placement per fixture } } - EXPECT_GT(corrupted, 100U); + RecordProperty("corruptions", static_cast(corrupted)); + EXPECT_EQ(fixtures, detail::kTraced ? 59U : 58U); + EXPECT_EQ(corrupted, detail::kTraced ? 1132U : 858U); + EXPECT_GT(kinds[0], 200U); + EXPECT_GT(kinds[1], 50U); + EXPECT_GT(kinds[2], 50U); EXPECT_EQ(detected, corrupted); + expect_every_other_clause_reported(); + expect_the_comparison_reports_shape_differences(); } - -#else - -// The replay reads the trace and sets the creation cap: without the private hooks it is skipped. -TEST(PolicyFixtures, TheDataHoldsEveryPrototypeFixture) { GTEST_SKIP() << "needs the private hooks"; } -TEST(PolicyFixtures, EveryFixtureReplaysIdentically) { GTEST_SKIP() << "needs the private hooks"; } -TEST(PolicyFixtures, ACorruptedExpectationFails) { GTEST_SKIP() << "needs the private hooks"; } - -#endif diff --git a/tests/cpp/flow_policy_tests.cpp b/tests/cpp/flow_policy_tests.cpp index 0f83ccc..20b1423 100644 --- a/tests/cpp/flow_policy_tests.cpp +++ b/tests/cpp/flow_policy_tests.cpp @@ -1,29 +1,46 @@ -// The policy engine beyond prototype 2's fixtures (those replay in flow_policy_fixture_tests.cpp): -// configuration validation, the outputs, Global's empty roster, record bundles (sparse storage, -// sharing), the DagCache in building mode and the evaluators (capacity, batch_capacity, -// sensitivity) with workers (APPROACH 8 to 11). +// The policy engine beyond the reference's fixtures (those replay in flow_policy_fixture_tests.cpp): +// configuration validation, the configuration a policy keeps and the selection fields Global and +// Pinned read, request validation (a rejected request changes nothing) and the per-source round +// robin of the cumulative request, the outputs (the bottleneck under the policy's Eligibility), +// Global's empty roster, its roster without flow and its zero call's cumulative curve, record +// bundles (sparse storage, sharing, pruning), records in FlowId order, one flow to several nearest +// destinations, the reduction of the sources' outcomes, CapacityAware's diminishing guard, path-cost +// ceiling (exact at large costs and factors), stretch baseline and bandwidth floor, and the +// evaluators (capacity, batch_capacity, sensitivity) with workers and their default from the +// environment. The DagCache's own modes and key are tested in dag_cache_tests.cpp. #include +#include +#include +#include #include #include #include #include +#include #include #include +#include #include #include +#include +#include +#include +#include #include #include "netgraph/core/dag_cache.hpp" +#include "netgraph/core/detail/evaluator_checks.hpp" #include "netgraph/core/detail/kernels.hpp" #include "netgraph/core/detail/ledger_access.hpp" #include "netgraph/core/detail/policy_engine.hpp" #include "netgraph/core/detail/pred_dag_builder.hpp" -#include "netgraph/core/detail/private_hooks.hpp" +#include "netgraph/core/detail/traversal.hpp" #include "netgraph/core/evaluators.hpp" #include "netgraph/core/flow_ledger.hpp" #include "netgraph/core/flow_policy.hpp" #include "netgraph/core/search.hpp" +#include "state_comparators.hpp" #include "test_utils.hpp" using namespace netgraph::core; @@ -31,14 +48,6 @@ using namespace netgraph::core::test; namespace { -std::shared_ptr shared(Graph g) { - return std::make_shared(std::move(g)); -} - -std::shared_ptr dag_of(const Graph& g, std::vector edges) { - return std::make_shared(detail::PredDAGBuilder::of_edges(g, edges)); -} - PathSelection sel(EdgeTieBreak t = EdgeTieBreak::Deterministic, EdgePriority p = EdgePriority::Capacity, bool multipath = true, bool multi_edge = true) { return PathSelection(t, p, multipath, multi_edge); @@ -48,27 +57,7 @@ FlowPolicyConfig cfg(Routing r, FlowPlacement k, Admission a = Admission::Lossle return FlowPolicyConfig {std::move(r), k, a, s}; } -FlowPolicyConfig global_cfg() { return cfg(Global {}, FlowPlacement::MaxFlow); } - -std::string error_of(const std::function& fn) { - try { - fn(); - } catch (const std::invalid_argument& e) { - return e.what(); - } - return ""; -} - -bool contains(const std::string& s, const std::string& part) { return s.find(part) != std::string::npos; } - -std::vector edges_of(const PredDAG& dag) { - const auto e = detail::PredDAGBuilder::ascending(dag); - return {e.begin(), e.end()}; -} - -std::vector v(std::initializer_list x) { return x; } - -// Two disjoint routes 0 -> 1 -> 3 (caps a, cost 1) and 0 -> 2 -> 3 (caps b, cost c). B' ids: +// Two disjoint routes 0 -> 1 -> 3 (caps a, cost 1) and 0 -> 2 -> 3 (caps b, cost c). EdgeIds: // 0 = 0->1, 1 = 0->2, 2 = 1->3, 3 = 2->3. std::shared_ptr diamond(Amount a, Amount b, Cost c = 1) { return shared(make_graph(4, {{0, 1, a, 1}, {1, 3, a, 1}, {0, 2, b, c}, {2, 3, b, c}})); @@ -79,77 +68,108 @@ std::shared_ptr diamond(Amount a, Amount b, Cost c = 1) { TEST(FlowPolicyConfig, EveryRejectedCombinationBeforeBinding) { auto g = diamond(5, 5); FlowLedger fg(g); - auto rejects = [&](const FlowPolicyConfig& c, const std::string& part, std::vector s = {0}, + // Each combination is refused with its whole message, and no policy is bound afterwards. + auto rejects = [&](const FlowPolicyConfig& c, const std::string& message, std::vector s = {0}, std::vector d = {3}) { - const auto msg = error_of([&] { FlowPolicy p(fg, s, d, c); }); - EXPECT_TRUE(contains(msg, part)) << "expected '" << part << "', got '" << msg << "'"; + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, s, d, c); }), message); EXPECT_TRUE(detail::LedgerAccess::bound_owners(fg).empty()); }; - rejects(cfg(CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossy), "Lossy"); + const std::string lossy_hop_by_hop = + "Lossy admission is rejected with Global and CapacityAware routing (hop-by-hop forwarding without admission " + "control neither grows nor reroutes)"; + rejects(cfg(CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossy), + "Lossy admission is rejected with the MaxFlow kernel: a controller never drops (EqualBalanced or Weighted only)"); rejects(cfg(CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, sel(EdgeTieBreak::Deterministic, EdgePriority::Headroom)), - "Headroom"); + "the Weighted kernel is rejected with priority Headroom (weights are units)"); rejects(cfg(Global {}, FlowPlacement::EqualBalanced), "Global routing requires placement = MaxFlow"); - rejects(cfg(Global {}, FlowPlacement::EqualBalanced, Admission::Lossy), "Lossy"); - rejects(cfg(CapacityAware {}, FlowPlacement::EqualBalanced, Admission::Lossy), "Lossy"); + rejects(cfg(Global {}, FlowPlacement::EqualBalanced, Admission::Lossy), lossy_hop_by_hop); + rejects(cfg(CapacityAware {}, FlowPlacement::EqualBalanced, Admission::Lossy), lossy_hop_by_hop); CapacityAware ca; ca.flow_count = 0; - rejects(cfg(ca, FlowPlacement::MaxFlow), "flow_count"); + rejects(cfg(ca, FlowPlacement::MaxFlow), "CapacityAware flow_count must be >= 1 (got 0)"); ca = {}; ca.flow_count = 3; ca.max_flow_count = 2; - rejects(cfg(ca, FlowPlacement::MaxFlow), "max_flow_count"); + rejects(cfg(ca, FlowPlacement::MaxFlow), "CapacityAware max_flow_count (2) must be >= flow_count (3)"); ca = {}; ca.min_flow_bandwidth = -1; - rejects(cfg(ca, FlowPlacement::MaxFlow), "min_flow_bandwidth"); + rejects(cfg(ca, FlowPlacement::MaxFlow), "CapacityAware min_flow_bandwidth must be in [0, 2^62) units (got -1)"); + // The upper bound: 2^62 - 1 units is a valid floor, 2^62 is not. + ca.min_flow_bandwidth = kDomainLimit; + rejects(cfg(ca, FlowPlacement::MaxFlow), + "CapacityAware min_flow_bandwidth must be in [0, 2^62) units (got 4611686018427387904)"); + ca.min_flow_bandwidth = kDomainLimit - 1; + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({3}), cfg(ca, FlowPlacement::MaxFlow)); }), ""); ca = {}; ca.max_path_cost = Absolute {-1}; - rejects(cfg(ca, FlowPlacement::MaxFlow), "Absolute"); - for (double f : {0.5, std::numeric_limits::quiet_NaN(), std::numeric_limits::infinity()}) { + rejects(cfg(ca, FlowPlacement::MaxFlow), "max_path_cost Absolute cost must be >= 0 (got -1)"); + for (const auto& [f, shown] : {std::pair {0.5, "0.500000"}, std::pair {std::numeric_limits::quiet_NaN(), "nan"}, + std::pair {std::numeric_limits::infinity(), "inf"}}) { ca = {}; ca.max_path_cost = Stretch {f}; - rejects(cfg(ca, FlowPlacement::MaxFlow), "Stretch"); + rejects(cfg(ca, FlowPlacement::MaxFlow), + std::string("max_path_cost Stretch factor must be finite and in [1, inf) (got ") + shown + ")"); } ca = {}; ca.diminishing = DiminishingReturns {0, 0.5}; - rejects(cfg(ca, FlowPlacement::MaxFlow), "window"); - for (double f : {0.0, 1.0, std::numeric_limits::quiet_NaN()}) { + rejects(cfg(ca, FlowPlacement::MaxFlow), "diminishing window must be >= 1 (got 0)"); + for (const auto& [f, shown] : {std::pair {0.0, "0.000000"}, std::pair {1.0, "1.000000"}, + std::pair {std::numeric_limits::quiet_NaN(), "nan"}}) { ca = {}; ca.diminishing = DiminishingReturns {1, f}; - rejects(cfg(ca, FlowPlacement::MaxFlow), "fraction"); + rejects(cfg(ca, FlowPlacement::MaxFlow), std::string("diminishing fraction must be in (0, 1) (got ") + shown + ")"); } Pinned none; - rejects(cfg(none, FlowPlacement::MaxFlow), "empty bundle list"); + rejects(cfg(none, FlowPlacement::MaxFlow), "Pinned: an empty bundle list is rejected"); + // A null bundle, first or after a valid one: refused before it is read. + Pinned null_first; + null_first.bundles = {nullptr}; + rejects(cfg(null_first, FlowPlacement::MaxFlow), "Pinned: bundle 0 is null"); + Pinned null_second; + null_second.bundles = {dag_of(*g, {0, 2}), nullptr}; + rejects(cfg(null_second, FlowPlacement::MaxFlow), "Pinned: bundle 1 is null"); Pinned dup; dup.bundles = {dag_of(*g, {0, 2}), dag_of(*g, {0, 2})}; - rejects(cfg(dup, FlowPlacement::MaxFlow), "duplicate bundle"); + rejects(cfg(dup, FlowPlacement::MaxFlow), "Pinned: duplicate bundle 1 (equal to bundle 0 before pruning)"); Pinned malformed; malformed.bundles = {dag_of(*g, {0, 3})}; - rejects(cfg(malformed, FlowPlacement::MaxFlow), "malformed bundle"); + rejects(cfg(malformed, FlowPlacement::MaxFlow), "Pinned: malformed bundle 0, no src -> dst walk (src 0, dst 3)"); Pinned ok; ok.bundles = {dag_of(*g, {0, 2})}; - rejects(cfg(ok, FlowPlacement::MaxFlow), "single endpoints", {0, 1}, {3}); + rejects(cfg(ok, FlowPlacement::MaxFlow), + "Pinned routing requires single endpoints (bundles bind one source and one destination)", {0, 1}, {3}); auto other = diamond(5, 5); Pinned foreign; foreign.bundles = {dag_of(*other, {0, 2})}; - rejects(cfg(foreign, FlowPlacement::MaxFlow), "foreign PredDAG"); - rejects(cfg(CostOnly {}, FlowPlacement::MaxFlow), "both endpoint sets", {0, 3}, {3}); - rejects(cfg(CostOnly {}, FlowPlacement::MaxFlow), "empty", {}, {3}); - rejects(cfg(CostOnly {}, FlowPlacement::MaxFlow), "out of node range", {9}, {3}); + rejects(cfg(foreign, FlowPlacement::MaxFlow), "foreign PredDAG: bundle built for another graph"); + rejects(cfg(CostOnly {}, FlowPlacement::MaxFlow), + "node 3 is in both endpoint sets: sources and destinations must not overlap", {0, 3}, {3}); + rejects(cfg(CostOnly {}, FlowPlacement::MaxFlow), "sources: the node set is empty", {}, {3}); + rejects(cfg(CostOnly {}, FlowPlacement::MaxFlow), "sources: node 9 out of node range [0, 4)", {9}, {3}); + // A routing variant left without a mode (valueless) by an exception while a mode was emplaced. + struct ThrowingConversion { + operator Pinned() const { throw std::runtime_error("conversion failed"); } + }; + auto valueless = cfg(CostOnly {}, FlowPlacement::MaxFlow); + EXPECT_THROW(valueless.routing.emplace(ThrowingConversion {}), std::runtime_error); + ASSERT_TRUE(valueless.routing.valueless_by_exception()); + rejects(valueless, "routing: the variant holds no routing mode"); const auto el = other->eligibility({}, std::vector {0}); - EXPECT_TRUE(contains(error_of([&] { FlowPolicy p(fg, v({0}), v({3}), cfg(CostOnly {}, FlowPlacement::MaxFlow), &el); }), - "foreign Eligibility")); + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({3}), cfg(CostOnly {}, FlowPlacement::MaxFlow), &el); }), + "foreign Eligibility: built for another graph"); DagCache foreign_cache(*other); - EXPECT_TRUE(contains(error_of([&] { - FlowPolicy p(fg, v({0}), v({3}), cfg(CostOnly {}, FlowPlacement::MaxFlow), nullptr, &foreign_cache); - }), - "foreign DagCache")); + EXPECT_EQ(error_of([&] { + FlowPolicy p(fg, v({0}), v({3}), cfg(CostOnly {}, FlowPlacement::MaxFlow), nullptr, &foreign_cache); + }), + "foreign DagCache: bound to another graph"); EXPECT_TRUE(detail::LedgerAccess::bound_owners(fg).empty()); } -// Rule 13 at construction: PathSelection and FlowPolicyConfig reject a value outside its -// enumeration (here 99, reachable by a cast) with std::invalid_argument naming the field, in +// Enumeration checks at construction: PathSelection and FlowPolicyConfig reject a value outside its +// enumeration (here 97 to 99, reachable by a cast) with std::invalid_argument naming the field, in // validate_config's order; a selection assigned out of its domain after its own construction is -// rejected by the configuration. Combinations are the consumers' (the next test). +// rejected by the configuration. Combinations are the consumers' (EveryRejectedCombinationBefore- +// Binding above and SeveralDefectsReportTheFirstInTheContractOrder below). TEST(FlowPolicyConfig, ConstructorsRejectEnumValuesOutsideTheirEnumeration) { EXPECT_EQ(error_of([] { (void)PathSelection(static_cast(99), EdgePriority::Capacity); }), "tie_break: 99 is not a value of EdgeTieBreak"); @@ -198,7 +218,7 @@ TEST(FlowPolicyConfig, ConstructorsRejectEnumValuesOutsideTheirEnumeration) { } } -// Rule 13 at every consuming entry: the fields stay assignable after construction, so a value +// Enumeration checks at every consuming entry: the fields stay assignable after construction, so a value // outside its enumeration is a domain error named by its field, before any combination check, // at every entry that takes the field; it never reaches a record. TEST(FlowPolicyConfig, EnumValuesOutsideTheirEnumerationAreRejected) { @@ -275,17 +295,340 @@ TEST(FlowPolicyConfig, EnumValuesOutsideTheirEnumerationAreRejected) { EXPECT_EQ(st.hits + st.misses + st.entries, 0); } -TEST(FlowPolicyRequests, ValidationPrecedesTheZeroShortcut) { +// validate_config with several defects at once: one error, the first in the order +// placement, admission, the selection's tie_break and priority (the fields assigned out of their +// enumerations after construction), then the kernel combinations (Lossy with MaxFlow, Weighted +// with Headroom), then the routing rules (Lossy with Global or CapacityAware, Global without +// MaxFlow, CapacityAware's counts, Pinned's bundles). Exact texts: the selection's priority is +// named "selection.priority", never the kernel check's "priority". The same first error at +// construction and at the evaluators; nothing is bound. +TEST(FlowPolicyConfig, SeveralDefectsReportTheFirstInTheContractOrder) { auto g = diamond(5, 5); FlowLedger fg(g); - FlowPolicy p(fg, v({0}), v({3}), cfg(CostOnly {}, FlowPlacement::EqualBalanced)); - EXPECT_TRUE(contains(error_of([&] { (void)p.place(-1); }), "request")); - EXPECT_TRUE(contains(error_of([&] { (void)p.place(kDomainLimit); }), "request")); - EXPECT_EQ(p.place(std::nullopt).placed, 10); - EXPECT_TRUE(contains(error_of([&] { (void)p.place(1); }), "after +inf")); - EXPECT_TRUE(contains(error_of([&] { (void)p.place(0); }), "after +inf")); - p.remove(); - EXPECT_EQ(p.place(1).placed, 1); + const auto bad_placement = static_cast(99); + const auto bad_admission = static_cast(98); + const auto bad_tie = static_cast(97); + const auto bad_priority = static_cast(96); + CapacityAware zero; + zero.flow_count = 0; + struct Case { + FlowPolicyConfig c; + std::string error; + }; + const auto with = [](FlowPolicyConfig c, std::optional k, std::optional a, + std::optional t, std::optional p) { + if (k) c.placement = *k; + if (a) c.admission = *a; + auto& selection = c.selection; + if (t) selection.tie_break = *t; + if (p) selection.priority = *p; + return c; + }; + const std::string lossy_routing = + "Lossy admission is rejected with Global and CapacityAware routing (hop-by-hop forwarding without admission " + "control neither grows nor reroutes)"; + const std::vector cases = { + {with(cfg(Global {}, FlowPlacement::MaxFlow, Admission::Lossy), bad_placement, bad_admission, bad_tie, bad_priority), + "placement: 99 is not a value of FlowPlacement"}, + {with(cfg(Global {}, FlowPlacement::Weighted), std::nullopt, bad_admission, bad_tie, bad_priority), + "admission: 98 is not a value of Admission"}, + {with(cfg(zero, FlowPlacement::MaxFlow, Admission::Lossy), std::nullopt, std::nullopt, bad_tie, bad_priority), + "selection.tie_break: 97 is not a value of EdgeTieBreak"}, + {with(cfg(zero, FlowPlacement::MaxFlow, Admission::Lossy), std::nullopt, std::nullopt, std::nullopt, bad_priority), + "selection.priority: 96 is not a value of EdgePriority"}, + {with(cfg(Global {}, FlowPlacement::Weighted), std::nullopt, std::nullopt, std::nullopt, bad_priority), + "selection.priority: 96 is not a value of EdgePriority"}, + {cfg(Global {}, FlowPlacement::MaxFlow, Admission::Lossy), kLossyKernelError}, + {cfg(zero, FlowPlacement::MaxFlow, Admission::Lossy), kLossyKernelError}, + {cfg(Global {}, FlowPlacement::Weighted, Admission::Lossless, sel(EdgeTieBreak::Deterministic, EdgePriority::Headroom)), + kHeadroomKernelError}, + {cfg(zero, FlowPlacement::Weighted, Admission::Lossy, sel(EdgeTieBreak::Deterministic, EdgePriority::Headroom)), + kHeadroomKernelError}, + {cfg(Pinned {}, FlowPlacement::MaxFlow, Admission::Lossy), kLossyKernelError}, + {cfg(zero, FlowPlacement::EqualBalanced, Admission::Lossy), lossy_routing}, + {cfg(Global {}, FlowPlacement::Weighted, Admission::Lossy), lossy_routing}, + }; + for (const auto& k : cases) { + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({3}), k.c); }), k.error); + EXPECT_TRUE(detail::LedgerAccess::bound_owners(fg).empty()); + EXPECT_TRUE(fg.records().empty()); + CapacityOptions co {k.c}; + EXPECT_EQ(error_of([&] { (void)capacity(*g, v({0}), v({3}), co); }), k.error); + EXPECT_EQ(error_of([&] { (void)sensitivity(*g, v({0}), v({3}), SensitivityOptions {k.c}, 1); }), k.error); + if (std::holds_alternative(k.c.routing)) continue; // batch_capacity rejects Pinned first + const std::vector, std::vector>> pairs = {{v({0}), v({3})}}; + EXPECT_EQ(error_of([&] { (void)batch_capacity(*g, pairs, co, {}, 1); }), k.error); + } +} + +// The four axes are required: a configuration has no default. +static_assert(!std::is_default_constructible_v); + +// config() is the copy taken at construction: every field as given, and a later change of the +// caller's object changes nothing. +TEST(FlowPolicyConfig, ConfigIsTheCopyTakenAtConstruction) { + auto g = diamond(5, 5); + FlowLedger fg(g); + CapacityAware ca; + ca.flow_count = 2; + ca.max_flow_count = 3; + ca.max_path_cost = Absolute {9}; + ca.min_flow_bandwidth = 1; + ca.reoptimize = true; + ca.diminishing = DiminishingReturns {2, 0.25}; + const auto selection = sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, false); + auto c = cfg(ca, FlowPlacement::EqualBalanced, Admission::Lossless, selection); + FlowPolicy p(fg, v({0}), v({3}), c); + c.placement = FlowPlacement::MaxFlow; + c.selection = sel(); + std::get(c.routing).flow_count = 7; + const auto& got = p.config(); + EXPECT_NE(&got, &c); + EXPECT_EQ(got.placement, FlowPlacement::EqualBalanced); + EXPECT_EQ(got.admission, Admission::Lossless); + EXPECT_TRUE(got.selection == selection); + ASSERT_TRUE(std::holds_alternative(got.routing)); + const auto& r = std::get(got.routing); + EXPECT_EQ(r.flow_count, 2); + EXPECT_EQ(r.max_flow_count, std::optional {3}); + EXPECT_TRUE(r.max_path_cost == std::optional {Absolute {9}}); + EXPECT_EQ(r.min_flow_bandwidth, 1); + EXPECT_TRUE(r.reoptimize); + ASSERT_TRUE(r.diminishing.has_value()); + EXPECT_EQ(r.diminishing->window, 2); + EXPECT_EQ(r.diminishing->fraction, 0.25); + // Pinned: the supplied bundles themselves, in supply order. + Pinned pin; + pin.bundles = {dag_of(*g, {1, 3}), dag_of(*g, {0, 2})}; + FlowLedger fg2(g); + FlowPolicy q(fg2, v({0}), v({3}), cfg(pin, FlowPlacement::MaxFlow)); + ASSERT_TRUE(std::holds_alternative(q.config().routing)); + const auto& kept = std::get(q.config().routing).bundles; + ASSERT_EQ(kept.size(), 2U); + EXPECT_EQ(kept[0].get(), pin.bundles[0].get()); + EXPECT_EQ(kept[1].get(), pin.bundles[1].get()); +} + +// Global and Pinned read only the selection's priority, and only with the Weighted kernel (its +// membership and weights): every other selection gives the same placement. Two parallel edges +// 0 -> 1 of 4 units (EdgeIds 0 and 1), a third party holding 3 units of edge 0. Pinned Weighted +// on both edges, request 5: with priority Capacity the weights are 4 : 4, so the flow is at most +// 1 + 1 = 2 (edge 0 has 1 unit left); with priority Residual they are the residuals 1 : 4 at +// creation, so it carries 1 + 4 = 5. Global (MaxFlow only), Pinned MaxFlow and Pinned +// EqualBalanced place the same under every selection. Control: CostOnly reads the selection (a +// single path, multipath = false, carries less than the two-edge DAG). +TEST(FlowPolicyConfig, GlobalAndPinnedReadOnlyTheWeightedPriority) { + auto g = shared(make_graph(2, {{0, 1, 4, 1}, {0, 1, 4, 1}})); + std::vector all; + for (auto t : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { + for (auto p : {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}) { + for (bool mp : {true, false}) { + for (bool me : {true, false}) all.push_back(sel(t, p, mp, me)); + } + } + } + using Edges = std::vector>; + // The placement of request 5 after the third party: (placed, the policy's records' edges). + auto run = [&](const Routing& routing, FlowPlacement k, const PathSelection& s) { + FlowLedger fg(g); + Pinned third; + third.bundles = {dag_of(*g, {0})}; + FlowPolicy other(fg, v({0}), v({1}), cfg(third, FlowPlacement::MaxFlow)); + EXPECT_EQ(other.place(3).placed, 3); + FlowPolicy p(fg, v({0}), v({1}), cfg(routing, k, Admission::Lossless, s)); + const auto r = p.place(5); + std::vector edges; + for (const auto& rec : p.records()) edges.push_back(rec.edges); + return std::pair {r.placed, edges}; + }; + Pinned both; + both.bundles = {dag_of(*g, {0, 1})}; + for (const auto& [name, routing, k] : std::vector> { + {"Global", Global {}, FlowPlacement::MaxFlow}, + {"Pinned MaxFlow", both, FlowPlacement::MaxFlow}, + {"Pinned EqualBalanced", both, FlowPlacement::EqualBalanced}}) { + const auto want = run(routing, k, all.front()); + EXPECT_EQ(want.first, k == FlowPlacement::EqualBalanced ? 2 : 5) << name; + for (const auto& s : all) EXPECT_EQ(run(routing, k, s), want) << name; + } + for (const auto& s : all) { + if (s.priority == EdgePriority::Headroom) continue; // rejected with Weighted + const bool residual = s.priority == EdgePriority::Residual; + const auto got = run(both, FlowPlacement::Weighted, s); + EXPECT_EQ(got.first, residual ? 5 : 2); + EXPECT_EQ(got.second, (std::vector {residual ? Edges {{0, 1}, {1, 4}} : Edges {{0, 1}, {1, 1}}})); + } + EXPECT_EQ(run(CostOnly {}, FlowPlacement::MaxFlow, sel()).first, 5); + EXPECT_EQ(run(CostOnly {}, FlowPlacement::MaxFlow, sel(EdgeTieBreak::Deterministic, EdgePriority::Capacity, false)).first, + 1); +} + +namespace { + +// What a rejected call must leave as it was: the policy's epoch state (the requested total, the +// +inf flag, the placed demand, the Global curve and each roster source's flows with their routes) +// and the ledger (every record field, the allocations, the residual, the next FlowId and the +// owners). A flow's source is its roster source's, and its record's sources are compared. +struct PolicyState { + Epoch epoch; + LedgerState ledger; +}; + +PolicyState state_of(const FlowPolicy& p, const FlowLedger& fg) { return {test::epoch(p), ledger_state(fg)}; } + +void expect_same(const PolicyState& a, const PolicyState& b, const std::string& where) { + expect_same(a.epoch, b.epoch, where); + expect_same(a.ledger, b.ledger, where); +} + +// Each source's delivered total, by the records' single source (a source with a flow and no +// delivery included). +std::map delivered_by_source(const FlowPolicy& p) { + std::map out; + for (const auto& r : p.records()) out[r.sources.at(0)] += r.delivered; + return out; +} + +} // namespace + +// A request rejected by validation (out of [0, 2^62), finite after +inf, a cumulative total +// that would reach 2^127) changes neither the policy's epoch state nor the ledger, under every +// routing model; validation precedes the shortcut of a zero request (place(0) after +inf is +// rejected too), and remove() ends the epoch, after which a finite request places again. The +// 2^127 case starts from a requested total set just below the limit. +TEST(FlowPolicyRequests, RejectedRequestsLeaveThePolicyAndTheLedger) { + auto g = diamond(5, 3, 2); + Pinned pinned; + pinned.bundles = {dag_of(*g, {0, 2}), dag_of(*g, {1, 3})}; + CapacityAware ca; + ca.max_path_cost = Absolute {4}; + const std::vector> configs = { + {"CostOnly", cost_only_config()}, + {"CapacityAware", cfg(ca, FlowPlacement::EqualBalanced)}, + {"Global", global_config()}, + {"Pinned", cfg(pinned, FlowPlacement::MaxFlow)}, + {"CostOnly Lossy", cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy)}}; + const std::string range_error = " is outside [0, 2^62) units (requests are integer units or +inf)"; + const std::string after_inf = + "a finite request after +inf is rejected within an epoch (the cumulative finite request is undefined)"; + for (const auto& [name, config] : configs) { + FlowLedger fg(g); + FlowPolicy p(fg, v({0}), v({3}), config); + ASSERT_GT(p.place(4).placed, 0) << name; + const auto finite = state_of(p, fg); + EXPECT_EQ(error_of([&] { (void)p.place(-1); }), "request -1" + range_error) << name; + EXPECT_EQ(error_of([&] { (void)p.place(kDomainLimit); }), "request 4611686018427387904" + range_error) << name; + expect_same(state_of(p, fg), finite, name); + // Just below 2^127: 5 more would reach it, 4 would not. + auto& requested = detail::PolicyAccess::engine(p).requested; + const Counter128 saved = requested; + requested = Counter128 {(std::uint64_t {1} << 63) - 1, std::numeric_limits::max() - 4}; + const auto near_limit = state_of(p, fg); + EXPECT_EQ(error_of([&] { (void)p.place(5); }), "the cumulative request counter would reach 2^127") << name; + expect_same(state_of(p, fg), near_limit, name); + requested = saved; + (void)p.place(std::nullopt); + const auto infinite = state_of(p, fg); + ASSERT_TRUE(infinite.epoch.infinite) << name; + EXPECT_EQ(error_of([&] { (void)p.place(1); }), after_inf) << name; + EXPECT_EQ(error_of([&] { (void)p.place(0); }), after_inf) << name; + EXPECT_EQ(error_of([&] { (void)p.place(-1); }), "request -1" + range_error) << name; + expect_same(state_of(p, fg), infinite, name); + p.remove(); + EXPECT_EQ(p.place(1).placed, 1) << name; + } +} + +// The Lossy counters' 2^127 limit. Finite calls bring a flow's offered total up to the request +// total (below 2^127) and a +inf call then adds its injection, so both checks are reachable; the +// state about 2^65 calls would build is set here through the ledger's commit (a drop counter +// never above its flow's offered counter). On the path 0 -> 1 -> 2 with capacities 10 and 4, +// place(1) leaves residuals 9 and 3; place(+inf) then offers 9 (its injection on edge 0), edge 1 +// carries 3 and drops 6. From L = 2^127: an offered total of L - 10 reaches L - 1 (accepted), L - 9 +// would reach L (rejected); a drop counter of L - 7 reaches L - 1 and passes, so the offered +// check rejects the call; L - 6 would reach L (rejected by the drop check, which runs first). +// A rejected call leaves the policy and the ledger as they were. +TEST(FlowPolicyRequests, LossyCountersStopBelow2To127) { + auto g = shared(make_graph(3, {{0, 1, 10, 1}, {1, 2, 4, 1}})); + const auto below = [](std::uint64_t x) { + return Counter128 {(std::uint64_t {1} << 63) - 1, std::numeric_limits::max() - (x - 1)}; + }; + const std::string offered_error = "the cumulative offered counter would reach 2^127"; + const std::string drop_error = "a cumulative drop counter would reach 2^127"; + struct Case { + std::uint64_t offered_below; + std::optional drop_below; + std::optional error; + }; + for (const auto& c : {Case {10, std::nullopt, std::nullopt}, Case {9, std::nullopt, offered_error}, + Case {7, 7, offered_error}, Case {6, 6, drop_error}}) { + const std::string name = "L - " + std::to_string(c.offered_below); + FlowLedger fg(g); + FlowPolicy p(fg, v({0}), v({2}), cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy)); + ASSERT_EQ(p.place(1).placed, 1) << name; + std::vector drafts(1); + drafts[0].record = p.records().at(0); + drafts[0].id = drafts[0].record.flow_id.second; + drafts[0].record.offered = below(c.offered_below); + if (c.drop_below.has_value()) drafts[0].record.drops = {{1, below(*c.drop_below)}}; + (void)detail::LedgerAccess::commit(fg, detail::PolicyAccess::engine(p).owner, drafts); + const auto before = state_of(p, fg); + if (c.error.has_value()) { + EXPECT_EQ(error_of([&] { (void)p.place(std::nullopt); }), *c.error) << name; + expect_same(state_of(p, fg), before, name); + continue; + } + const auto r = p.place(std::nullopt); + EXPECT_EQ(r.placed, 3) << name; + EXPECT_EQ(r.drops, (std::vector> {{1, 6}})) << name; + const auto records = p.records(); + ASSERT_EQ(records.size(), 1U) << name; + EXPECT_EQ(records[0].offered, below(1)) << name; + EXPECT_EQ(records[0].drops, (std::vector> {{1, Counter128 {0, 6}}})) << name; + EXPECT_EQ(records[0].delivered, 4) << name; + } +} + +// The per-source shares of the cumulative request R (round robin from the lowest source): after +// R units source i of k has floor(R / k) + [i < R mod k]. Sources 0 .. k - 1 with their own +// 100-unit edge to k. k = 3: place(2) from R = 0 offers [1, 1, 0]; the next place(2) (R = 2) +// offers [1, 0, 1], which a rejected call that changed R would move. k = 7, where 2^64 = 2 mod 7: +// from R = 2^64 place(1) offers its unit to source 2, from R = 2^64 + 5 (= 0 mod 7) to source 0, +// so the high word of R counts with its exact weight. +TEST(FlowPolicyRequests, RoundRobinSharesFollowTheCumulativeRequest) { + auto star = [](std::int32_t k) { + std::vector rows; + for (std::int32_t s = 0; s < k; ++s) rows.push_back({s, k, 100, 1}); + return shared(make_graph(k + 1, rows)); + }; + auto sources = [](std::int32_t k) { + std::vector out(static_cast(k)); + std::iota(out.begin(), out.end(), 0); + return out; + }; + using Shares = std::map; + { + auto g = star(3); + FlowLedger fg(g); + FlowPolicy p(fg, sources(3), v({3}), cost_only_config()); + EXPECT_EQ(p.place(2).placed, 2); + EXPECT_EQ(delivered_by_source(p), (Shares {{0, 1}, {1, 1}, {2, 0}})); + EXPECT_EQ(error_of([&] { (void)p.place(-1); }), + "request -1 is outside [0, 2^62) units (requests are integer units or +inf)"); + EXPECT_EQ(error_of([&] { (void)p.place(kDomainLimit); }), + "request 4611686018427387904 is outside [0, 2^62) units (requests are integer units or +inf)"); + EXPECT_EQ(p.place(2).placed, 2); + EXPECT_EQ(delivered_by_source(p), (Shares {{0, 2}, {1, 1}, {2, 1}})); + } + auto g = star(7); + for (const auto& [requested, to] : {std::pair {Counter128 {1, 0}, NodeId {2}}, std::pair {Counter128 {1, 5}, NodeId {0}}}) { + FlowLedger fg(g); + FlowPolicy p(fg, sources(7), v({7}), cost_only_config()); + detail::PolicyAccess::engine(p).requested = requested; + EXPECT_EQ(p.place(1).placed, 1) << requested.lo; + for (const auto& [s, x] : delivered_by_source(p)) EXPECT_EQ(x, s == to ? 1 : 0) << requested.lo << " source " << s; + EXPECT_EQ(delivered_by_source(p).at(to), 1) << requested.lo; + } } TEST(FlowPolicyOutputs, OwnAllocationLedgerResidualBottleneckAndGlobalCut) { @@ -296,9 +639,13 @@ TEST(FlowPolicyOutputs, OwnAllocationLedgerResidualBottleneckAndGlobalCut) { third.bundles = {dag_of(*g, {0, 2})}; FlowPolicy other(fg, v({0}), v({3}), cfg(third, FlowPlacement::MaxFlow)); ASSERT_EQ(other.place(1).placed, 1); - FlowPolicy p(fg, v({0}), v({3}), cfg(CostOnly {}, FlowPlacement::EqualBalanced)); + FlowPolicy p(fg, v({0}), v({3}), cost_only_config()); const OutputOptions all {true, true, true}; auto r = p.place(4, all); + // Both routes cost 2: EqualBalanced puts 2 units on each, so every edge carries 2 of this + // policy's units and the residuals are 5 - 1 - 2 on route 0 -> 1 -> 3 and 3 - 2 on the other. + // Every edge keeps a residual unit, so the sources reach everything: no saturated edge. + EXPECT_EQ(r.placed, 4); ASSERT_TRUE(r.edge_flows && r.residual && r.bottleneck); EXPECT_FALSE(r.min_cut.has_value()); // not Global EXPECT_FALSE(r.cost_distribution.has_value()); @@ -306,8 +653,11 @@ TEST(FlowPolicyOutputs, OwnAllocationLedgerResidualBottleneckAndGlobalCut) { for (const auto& rec : p.records()) { for (const auto& [e, x] : rec.edges) own[static_cast(e)] += x; } + EXPECT_EQ(*r.edge_flows, (std::vector {2, 2, 2, 2})); EXPECT_EQ(*r.edge_flows, own); + EXPECT_EQ(*r.residual, (std::vector {2, 1, 2, 1})); EXPECT_EQ(*r.residual, fg.residual()); + EXPECT_EQ(*r.bottleneck, std::vector {}); EXPECT_EQ(*r.bottleneck, fg.bottleneck(v({0}))); // Nothing requested: absent. r = p.place(1); @@ -315,23 +665,53 @@ TEST(FlowPolicyOutputs, OwnAllocationLedgerResidualBottleneckAndGlobalCut) { // Global: the curve always, min_cut with bottleneck when the solve is maximal (at +inf; none // under a cap of 2 below the maximum 8, which leaves a residual path). FlowLedger fg2(g); - FlowPolicy gl(fg2, v({0}), v({3}), global_cfg()); + FlowPolicy gl(fg2, v({0}), v({3}), global_config()); r = gl.place(2, OutputOptions {false, false, true}); + EXPECT_EQ(r.placed, 2); ASSERT_TRUE(r.cost_distribution.has_value()); EXPECT_EQ(*r.cost_distribution, curve({{2, 2}})); - EXPECT_LT(gl.placed_demand(), 8); + EXPECT_EQ(gl.placed_demand(), 2); EXPECT_FALSE(r.min_cut.has_value()); + // At +inf the remaining 6 of the maximum 5 + 3: both edges out of node 0 saturate, so the + // closure is {0} and the cut is 0 -> 1 and 0 -> 2 (EdgeIds 0 and 1). r = gl.place(std::nullopt, OutputOptions {false, false, true}); EXPECT_EQ(r.placed, 6); + EXPECT_EQ(gl.placed_demand(), 8); ASSERT_TRUE(r.min_cut.has_value()); - EXPECT_EQ(r.min_cut->size(), 2U); + EXPECT_EQ(*r.min_cut, (std::vector {0, 1})); +} + +// The bottleneck output is the ledger's saturation report for the policy's sources under the +// policy's Eligibility. Edges (input order): a = 0 -> 3 (2 units), x = 0 -> 2 (5), y = 2 -> 3 (1). A +// third party carries 1 unit on x and y, which saturates y. The policy excludes x and carries 2 +// units on a, which saturates a. Under the Eligibility the sources reach only node 0: the report is +// [a]. Without it node 2 is reachable too and y is reported as well. +TEST(FlowPolicyOutputs, BottleneckIsTheLedgersForThePolicysSourcesAndEligibility) { + auto g = shared(make_graph(4, {{0, 3, 2, 1}, {0, 2, 5, 1}, {2, 3, 1, 1}})); + const auto id = id_of_input(*g); + const EdgeId a = id[0], x = id[1], y = id[2]; + FlowLedger fg(g); + Pinned third; + third.bundles = {dag_of(*g, {x, y})}; + FlowPolicy other(fg, v({0}), v({3}), cfg(third, FlowPlacement::MaxFlow)); + ASSERT_EQ(other.place(1).placed, 1); + const auto el = g->eligibility({}, std::vector {x}); + FlowPolicy p(fg, v({0}), v({3}), cost_only_config(), &el); + const auto r = p.place(2, OutputOptions {false, false, true}); + EXPECT_EQ(r.placed, 2); + ASSERT_TRUE(r.bottleneck.has_value()); + EXPECT_EQ(*r.bottleneck, std::vector {a}); + EXPECT_EQ(*r.bottleneck, fg.bottleneck(v({0}), &el)); + auto without = std::vector {a, y}; + std::sort(without.begin(), without.end()); + EXPECT_EQ(fg.bottleneck(v({0})), without); // the Eligibility matters here } TEST(FlowPolicyGlobal, EmptyRosterReportsAnEmptyCurveAndAnEmptyCut) { - // No source reaches the destination: the maximum flow is 0 and maximal (APPROACH 2.2). + // No source reaches the destination: the maximum flow is 0 and maximal. auto g = shared(make_graph(3, {{0, 1, 5, 1}})); FlowLedger fg(g); - FlowPolicy p(fg, v({0}), v({2}), global_cfg()); + FlowPolicy p(fg, v({0}), v({2}), global_config()); auto r = p.place(std::nullopt, OutputOptions {false, false, true}); EXPECT_EQ(r.termination, Termination::NoRoute); ASSERT_TRUE(r.cost_distribution.has_value()); @@ -340,21 +720,57 @@ TEST(FlowPolicyGlobal, EmptyRosterReportsAnEmptyCurveAndAnEmptyCut) { EXPECT_TRUE(r.min_cut->empty()); EXPECT_TRUE(p.records().empty()); // The zero request is a no-op: no solve, no cut; the cumulative curve is empty. - FlowPolicy q(fg, v({1}), v({2}), global_cfg()); + FlowPolicy q(fg, v({1}), v({2}), global_config()); r = q.place(0, OutputOptions {false, false, true}); EXPECT_FALSE(r.min_cut.has_value()); ASSERT_TRUE(r.cost_distribution.has_value()); EXPECT_TRUE(r.cost_distribution->empty()); } -// A Global zero call reports the cumulative curve (9.1: its amounts sum to placed_demand(); +// Global with a roster whose maximum flow is 0: NoRoute while nothing was ever placed, Exhausted +// once something was. One edge 0 -> 1 of 2 units that a third party fills: the source statically +// reaches the destination (it is on the roster), and place(1) finds no flow: NoRoute for the call +// and the source, its record created empty (no bundle, no route cost, nothing delivered). After the +// third party leaves, place(1) delivers 1; a third party then takes the other unit, and the next +// place(1) re-solves 1 + 1 on a view of 1: nothing more, Exhausted. +TEST(FlowPolicyGlobal, ARosterWithoutFlowIsNoRouteUntilSomethingWasPlaced) { + auto g = shared(make_graph(2, {{0, 1, 2, 1}})); + FlowLedger fg(g); + Pinned edge; + edge.bundles = {dag_of(*g, {0})}; + auto third = std::make_unique(fg, v({0}), v({1}), cfg(edge, FlowPlacement::MaxFlow)); + ASSERT_EQ(third->place(2).placed, 2); + FlowPolicy p(fg, v({0}), v({1}), global_config()); + auto r = p.place(1); + EXPECT_EQ(r.placed, 0); + EXPECT_EQ(r.termination, Termination::NoRoute); + EXPECT_EQ(r.local_outcomes, (std::vector> {{0, Termination::NoRoute}})); + ASSERT_TRUE(r.cost_distribution.has_value()); + EXPECT_TRUE(r.cost_distribution->empty()); + ASSERT_EQ(p.records().size(), 1U); + EXPECT_TRUE(ascending_edges(*p.records()[0].bundle).empty()); + EXPECT_EQ(p.records()[0].route_cost, kUnreachable); + EXPECT_EQ(p.records()[0].delivered, 0); + third->remove(); + r = p.place(1); + EXPECT_EQ(r.placed, 1); + EXPECT_EQ(r.termination, Termination::Complete); + FlowPolicy fourth(fg, v({0}), v({1}), cfg(edge, FlowPlacement::MaxFlow)); + ASSERT_EQ(fourth.place(1).placed, 1); + r = p.place(1); + EXPECT_EQ(r.placed, 0); + EXPECT_EQ(r.termination, Termination::Exhausted); + EXPECT_EQ(r.local_outcomes, (std::vector> {{0, Termination::Exhausted}})); +} + +// A Global zero call reports the cumulative curve (its amounts sum to placed_demand(); // empty before the first placement and after remove()) and changes nothing; it solves nothing, -// so it claims no cut (review-1c F5). +// so it claims no cut. TEST(FlowPolicyGlobal, ZeroCallReportsTheCumulativeCurve) { using Curve = std::vector>; auto g = shared(make_graph(3, {{0, 1, 3, 7}, {0, 2, 4, 1}, {2, 1, 4, 1}})); FlowLedger fg(g); - FlowPolicy p(fg, v({0}), v({1}), global_cfg()); + FlowPolicy p(fg, v({0}), v({1}), global_config()); auto z = p.place(0); ASSERT_TRUE(z.cost_distribution.has_value()); EXPECT_TRUE(z.cost_distribution->empty()); @@ -381,7 +797,264 @@ TEST(FlowPolicyGlobal, ZeroCallReportsTheCumulativeCurve) { EXPECT_TRUE(z.cost_distribution->empty()); } -TEST(FlowPolicyRecords, BundlesAreSharedOrSparse) { +// The Global layer on random graphs (nonuniform costs 1 to 9 times a factor of 1, 1,000,003 or +// 2^35, zero capacities, a node or edge mask, another owner's occupancy W): each call re-solves the policy's cumulative amount on the view +// W + own. After each of up to two capped calls and after place(+inf), the policy's own flow is +// feasible on the view, conserved, carries the cumulative amount at the minimum cost of that +// amount (the independent Bellman-Ford curve, not the flow core), its records sum to it, and its +// cumulative curve is the optimal curve; at +inf the reported cut separates the sources from the +// destinations with a capacity equal to the flow. capacity() on a fresh ledger reaches the same +// maximum and curve, and batch_capacity() agrees with capacity() per pair. +TEST(FlowPolicyGlobal, RandomCumulativeSolvesAreOptimalWithACertifiedCut) { + std::mt19937_64 rng(20261010); + const OutputOptions all {true, true, true}; + auto below = [&](std::int64_t k) { return static_cast(rng() % static_cast(k)); }; + int capped = 0, masked = 0, occupied = 0, with_flow = 0; + int evaluated = 0; // trials whose evaluators are compared (no other owner) + for (int trial = 0; trial < 400; ++trial) { + const std::int32_t n = 4 + static_cast(rng() % 5); + std::vector rows; + const int m = 6 + static_cast(rng() % 11); + // The cost factor of the trial, outside the random stream: 1, 1,000,003 or 2^35. + const Cost factor = trial % 3 == 0 ? 1 : trial % 3 == 1 ? 1000003 : Cost {1} << 35; + for (int i = 0; i < m; ++i) { + const auto u = static_cast(rng() % static_cast(n)); + auto w = static_cast(rng() % static_cast(n - 1)); + if (w >= u) ++w; + rows.push_back({u, w, static_cast(rng() % 7), static_cast(1 + rng() % 9) * factor}); + } + auto g = shared(make_graph(n, rows)); + const std::string where = "trial " + std::to_string(trial); + // Sources 0 and maybe 1, destinations n - 1 and maybe n - 2. + std::vector srcs = {0}, dsts = {n - 1}; + if (rng() % 2 == 0) srcs.push_back(1); + if (rng() % 2 == 0) dsts.push_back(n - 2); + std::optional el; + switch (rng() % 3) { + case 0: el = g->eligibility(std::vector {below(n)}, {}); break; + case 1: el = g->eligibility({}, std::vector {below(m)}); break; + default: break; + } + const Eligibility* elig = el ? &*el : nullptr; + masked += elig != nullptr ? 1 : 0; + FlowLedger fg(g); + // Another owner: a Global policy between other endpoints (when the graph allows them) takes + // part of the capacity first. + std::optional other; + if (n >= 6 && rng() % 2 == 0) { + other.emplace(fg, v({2}), v({3}), global_config()); + occupied += other->place(static_cast(rng() % 5)).placed > 0 ? 1 : 0; + } + const std::vector view = fg.residual(); // W: the policy's own flow is 0 so far + const auto curve_pts = independent_curve(*g, view, srcs, dsts, elig); + const Amount max_flow = curve_pts.back().first; + FlowPolicy p(fg, srcs, dsts, global_config(), elig); + // The policy's own per-edge flow, its cost, and the checks every call ends with. + auto check_own = [&](Amount total, const PlacementResult& r, const std::string& at) { + std::vector own(view.size(), 0); + Amount recorded = 0; + for (const auto& rec : p.records()) { + recorded += rec.delivered; + for (const auto& [e, x] : rec.edges) own[static_cast(e)] += x; + } + EXPECT_EQ(recorded, total) << at; + EXPECT_EQ(p.placed_demand(), total) << at; + ASSERT_TRUE(r.edge_flows.has_value() && r.residual.has_value()) << at; + EXPECT_EQ(*r.edge_flows, own) << at; + EXPECT_EQ(*r.residual, fg.residual()) << at; + // The flow certificates' flow clauses (test_utils.hpp): within the view, nothing on a masked + // edge, conserved, the cumulative amount out of the sources and into the destinations. + std::vector fails; + (void)flow_clauses(*g, view, own, srcs, dsts, elig, total, fails); + const Int128 cost = flow_cost(*g, own); + EXPECT_TRUE(cost == curve_at(curve_pts, total)) << at; + // The cumulative curve, by the flow certificates' clauses: positive volumes at strictly + // increasing costs, its total the cumulative amount and its moment the flow's cost, and equal + // to the optimal curve at every breakpoint of either up to the total. + ASSERT_TRUE(r.cost_distribution.has_value()) << at; + const auto pts = curve_shape_clauses(*r.cost_distribution, total, cost, fails); + curve_optimum_clause(pts, curve_pts, total, "the optimal curve", fails); + for (const auto& f : fails) ADD_FAILURE() << at << ": " << f; + }; + // Up to two capped calls below the maximum (each re-solves the cumulative amount), then +inf. + Amount total = 0; + for (int call = 0; call < 2; ++call) { + const Amount x = max_flow - total > 1 ? below(max_flow - total) : 0; + if (x == 0) continue; + ++capped; + total += x; + const auto r = p.place(x, all); + EXPECT_EQ(r.placed, x) << where; + EXPECT_FALSE(r.min_cut.has_value()) << where; // stopped by the cap + check_own(total, r, where + " capped call " + std::to_string(call)); + } + const auto r = p.place(std::nullopt, all); + EXPECT_EQ(r.placed, max_flow - total) << where; + with_flow += max_flow > 0 ? 1 : 0; + check_own(max_flow, r, where + " +inf"); + // The cut, as the flow certificates define it (residual_closure and closure_cut, + // test_utils.hpp): the residual closure of the allowed sources is the nodes they still reach + // over allowed edges, forward where the policy's own flow leaves room in the view and backward + // where it can be undone; no destination is in it, and the cut is every allowed edge of + // positive view that leaves it, in ascending EdgeId, with a capacity equal to the maximum flow. + ASSERT_TRUE(r.min_cut.has_value() && r.edge_flows.has_value()) << where; + Amount cut_capacity = 0; + for (const EdgeId e : *r.min_cut) cut_capacity += view[static_cast(e)]; + EXPECT_EQ(cut_capacity, max_flow) << where; + const auto closure = residual_closure(*g, view, *r.edge_flows, srcs, elig); + for (const NodeId d : dsts) EXPECT_EQ(closure[static_cast(d)], 0) << where << " destination " << d; + EXPECT_EQ(*r.min_cut, closure_cut(*g, view, closure, elig)) << where; + // The evaluators on a fresh ledger (static capacities): the same maximum and cost. + if (other.has_value()) continue; + ++evaluated; + const CapacityOptions co {global_config(), elig, nullptr, all}; + const auto cr = capacity(*g, srcs, dsts, co); + EXPECT_EQ(cr.placed, max_flow) << where; + ASSERT_TRUE(cr.cost_distribution.has_value()) << where; + EXPECT_EQ(*cr.cost_distribution, *r.cost_distribution) << where; + const std::vector, std::vector>> pairs = {{srcs, dsts}, {v({0}), v({n - 1})}}; + const auto batch = batch_capacity(*g, pairs, co, {}, 1); + ASSERT_EQ(batch.size(), 2U) << where; + for (std::size_t i = 0; i < pairs.size(); ++i) { + const auto one = capacity(*g, pairs[i].first, pairs[i].second, co); + EXPECT_EQ(batch[i].placed, one.placed) << where << " pair " << i; + EXPECT_EQ(batch[i].cost_distribution, one.cost_distribution) << where << " pair " << i; + EXPECT_EQ(batch[i].min_cut, one.min_cut) << where << " pair " << i; + } + } + // The population reaches every case (this seed: 289 capped calls, 257 masks, 44 occupied + // ledgers, 241 positive maxima of 400 trials). + EXPECT_GT(capped, 220); + EXPECT_GT(masked, 200); + EXPECT_GT(occupied, 33); + EXPECT_GT(with_flow, 180); + EXPECT_GT(evaluated, 100); +} + +// CostOnly and CapacityAware placements on random graphs (costs 1 to 9 times a factor of 1, +// 1,000,003 or 2^35, zero capacities, a node or edge mask, one or two sources and destinations, +// another owner's flow first), in the kernels and admissions these models take: after each of two +// capped calls and a call of +inf, each of the policy's records is a flow of its own from the +// policy's sources to its destinations (expect_conserved, test_utils.hpp: positive amounts in +// ascending EdgeId, every transit node passing on what it receives less its drops, delivered the +// destinations' net inflow and, Lossless, the sources' net outflow), carrying and dropping nothing +// on an edge the Eligibility excludes; a Lossless policy's records deliver its placed demand, and +// the ledger's aggregate is the sum of its records (expect_balanced). These models choose routes +// by cost, not by the minimum-cost flow, so no optimality certificate applies here. +TEST(FlowPolicyRecords, RandomCostOnlyAndCapacityAwareRecordsAreFlows) { + const auto tunnel = sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, false); + const auto res = sel(EdgeTieBreak::Deterministic, EdgePriority::Residual); + CapacityAware grow; + grow.flow_count = 1; + grow.max_flow_count = 4; + CapacityAware reopt; + reopt.flow_count = 2; + reopt.reoptimize = true; + reopt.max_path_cost = Stretch {2.0}; + CapacityAware dim; + dim.flow_count = 1; + dim.diminishing = DiminishingReturns {1, 0.5}; + dim.min_flow_bandwidth = 1; + const std::vector configs = { + cost_only_config(), + cfg(CostOnly {}, FlowPlacement::Weighted), + cfg(CostOnly {}, FlowPlacement::MaxFlow), + cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, tunnel), + cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy), + cfg(CostOnly {}, FlowPlacement::Weighted, Admission::Lossy, res), + cfg(grow, FlowPlacement::EqualBalanced, Admission::Lossless, tunnel), + cfg(reopt, FlowPlacement::MaxFlow), + cfg(dim, FlowPlacement::Weighted, Admission::Lossless, res), + }; + std::mt19937_64 rng(20261011); + auto below = [&](std::int64_t k) { return static_cast(rng() % static_cast(k)); }; + int carrying_cost_only = 0; // record checks of a CostOnly record that carries something + int carrying_capacity_aware = 0; // the same for CapacityAware + int dropping = 0; // record checks of a Lossy record with drops + int masked = 0; // record checks of a carrying record under a mask + int scaled = 0; // record checks of a carrying record with costs times 1,000,003 or 2^35 + int several = 0; // calls that delivered from two sources or into two destinations + for (int trial = 0; trial < 600; ++trial) { + const FlowPolicyConfig& config = configs[static_cast(trial) % configs.size()]; + const bool cost_only = std::holds_alternative(config.routing); + const std::int32_t n = 4 + static_cast(rng() % 5); + const int m = 6 + static_cast(rng() % 11); + const Cost factor = trial % 3 == 0 ? 1 : trial % 3 == 1 ? 1000003 : Cost {1} << 35; + std::vector rows; + for (int i = 0; i < m; ++i) { + const auto u = static_cast(rng() % static_cast(n)); + auto w = static_cast(rng() % static_cast(n - 1)); + if (w >= u) ++w; + rows.push_back({u, w, static_cast(rng() % 7), static_cast(1 + rng() % 9) * factor}); + } + auto g = shared(make_graph(n, rows)); + std::vector srcs = {0}, dsts = {n - 1}; + if (rng() % 2 == 0) srcs.push_back(1); + if (rng() % 2 == 0) dsts.push_back(n - 2); + std::optional el; + switch (rng() % 3) { + case 0: el = g->eligibility(std::vector {below(n)}, {}); break; + case 1: el = g->eligibility({}, std::vector {below(m)}); break; + default: break; + } + const Eligibility* elig = el ? &*el : nullptr; + FlowLedger fg(g); + std::optional other; + if (n >= 6 && rng() % 2 == 0) { + other.emplace(fg, v({2}), v({3}), cost_only_config()); + (void)other->place(static_cast(rng() % 5)); + } + FlowPolicy p(fg, srcs, dsts, config, elig); + const std::vector> calls = {static_cast(rng() % 6), static_cast(rng() % 6), + std::nullopt}; + for (std::size_t call = 0; call < calls.size(); ++call) { + const std::string where = "trial " + std::to_string(trial) + " call " + std::to_string(call); + (void)p.place(calls[call]); + expect_balanced(fg, where); + Amount delivered = 0; + std::set from, into; + for (const auto& r : p.records()) { + const std::string at = where + " record " + std::to_string(r.flow_id.second); + for (NodeId x : r.sources) { + EXPECT_TRUE(std::find(srcs.begin(), srcs.end(), x) != srcs.end()) << at << " source " << x; + } + for (NodeId x : r.destinations) { + EXPECT_TRUE(std::find(dsts.begin(), dsts.end(), x) != dsts.end()) << at << " destination " << x; + } + const bool carries = expect_conserved(*g, r, at); + for (const auto& [e, x] : r.edges) { + EXPECT_TRUE(elig == nullptr || elig->edge_ok(e)) << at << " carries " << x << " on excluded edge " << e; + } + for (const auto& [e, x] : r.drops) { + EXPECT_TRUE(elig == nullptr || elig->edge_ok(e)) << at << " drops on excluded edge " << e; + } + delivered += r.delivered; + if (r.delivered > 0) { + from.insert(r.sources.begin(), r.sources.end()); + for (const auto& [e, x] : r.edges) { + const NodeId head = g->edge_dst()[static_cast(e)]; + if (std::find(dsts.begin(), dsts.end(), head) != dsts.end()) into.insert(head); + } + } + (cost_only ? carrying_cost_only : carrying_capacity_aware) += carries ? 1 : 0; + dropping += r.drops.empty() ? 0 : 1; + masked += carries && elig != nullptr ? 1 : 0; + scaled += carries && factor > 1 ? 1 : 0; + } + if (config.admission == Admission::Lossless) EXPECT_EQ(delivered, p.placed_demand()) << where; + several += from.size() > 1 || into.size() > 1 ? 1 : 0; + ASSERT_FALSE(::testing::Test::HasFailure()) << where; + } + } + EXPECT_GT(carrying_cost_only, 0); + EXPECT_GT(carrying_capacity_aware, 0); + EXPECT_GT(dropping, 0); + EXPECT_GT(masked, 0); + EXPECT_GT(scaled, 0); + EXPECT_GT(several, 0); +} + +TEST(FlowPolicyRecords, BundlesAreSharedOrPruned) { auto g = diamond(5, 5); FlowLedger fg(g); const auto whole = dag_of(*g, {0, 1, 2, 3}); @@ -398,17 +1071,355 @@ TEST(FlowPolicyRecords, BundlesAreSharedOrSparse) { (void)q.place(2); const auto rec = q.records().front(); EXPECT_NE(rec.bundle.get(), whole.get()); - EXPECT_EQ(edges_of(*rec.bundle), (std::vector {1, 3})); + EXPECT_EQ(ascending_edges(*rec.bundle), (std::vector {1, 3})); EXPECT_EQ(q.usable_bundles(), 1); // CostOnly: a source whose route is the whole cached support shares it. DagCache cache(*g); FlowLedger fg3(g); - FlowPolicy c(fg3, v({0}), v({3}), cfg(CostOnly {}, FlowPlacement::EqualBalanced), nullptr, &cache); + FlowPolicy c(fg3, v({0}), v({3}), cost_only_config(), nullptr, &cache); (void)c.place(2); const auto support = cache.lookup(*g, v({3}), Direction::Reverse, nullptr); EXPECT_EQ(c.records().front().bundle.get(), support.get()); } +// records() lists the live records in FlowId order, also when the sources' flows interleave. +// Sources 0 and 1, each with two parallel edges of 3 and 5 units to node 2; CapacityAware single +// paths, up to two flows per source. place(2) offers 1 to each source: flows 0 (source 0) and 1 +// (source 1). place(14) offers 7 to each: each source fills its flow to 3 and grows a second flow +// on its other edge (5 units), FlowIds 2 (source 0) and 3 (source 1). Per source the flows are +// [0, 2] and [1, 3]; records() gives 0, 1, 2, 3. +TEST(FlowPolicyRecords, RecordsAreInFlowIdOrderAcrossSources) { + auto g = shared(make_graph(3, {{0, 2, 3, 1}, {0, 2, 5, 1}, {1, 2, 3, 1}, {1, 2, 5, 1}})); + FlowLedger fg(g); + CapacityAware ca; + ca.max_flow_count = 2; + FlowPolicy p(fg, v({0, 1}), v({2}), cfg(ca, FlowPlacement::MaxFlow, Admission::Lossless, + sel(EdgeTieBreak::Deterministic, EdgePriority::Capacity, false))); + ASSERT_EQ(p.place(2).placed, 2); + ASSERT_EQ(p.place(14).placed, 14); + std::vector ids; + std::vector sources; + for (const auto& r : p.records()) { + ids.push_back(r.flow_id.second); + sources.push_back(r.sources.at(0)); + } + EXPECT_EQ(ids, (std::vector {0, 1, 2, 3})); + EXPECT_EQ(sources, (std::vector {0, 1, 0, 1})); +} + +// CostOnly and CapacityAware route to the nearest destinations, and one flow may deliver to +// several of them: edges (input order) 0 -> 1 (10 units, cost 1), 1 -> 2 (2, cost 1), 1 -> 3 (3, +// cost 1) and 0 -> 3 (5, cost 5); destinations 2 and 3, both at cost 2 through node 1. The one +// flow carries 2 to node 2 and 3 to node 3 (the edges entering each destination), 5 in all; the +// costlier edge 0 -> 3 is no part of the route. +TEST(FlowPolicyRecords, OneFlowDeliversToTheNearestDestinations) { + auto g = shared(make_graph(4, {{0, 1, 10, 1}, {1, 2, 2, 1}, {1, 3, 3, 1}, {0, 3, 5, 5}})); + const auto id = id_of_input(*g); + CapacityAware fixed; + fixed.max_flow_count = 1; + for (const auto& [name, routing] : std::vector> {{"CostOnly", CostOnly {}}, + {"CapacityAware", fixed}}) { + FlowLedger fg(g); + FlowPolicy p(fg, v({0}), v({2, 3}), cfg(routing, FlowPlacement::MaxFlow)); + const auto r = p.place(std::nullopt); + EXPECT_EQ(r.placed, 5) << name; + const auto records = p.records(); + ASSERT_EQ(records.size(), 1U) << name; + const auto& rec = records[0]; + EXPECT_EQ(rec.delivered, 5) << name; + EXPECT_EQ(rec.route_cost, 2) << name; + EXPECT_EQ(rec.destinations, (std::vector {2, 3})) << name; + std::map into; + for (const auto& [e, x] : rec.edges) into[g->edge_dst()[static_cast(e)]] += x; + EXPECT_EQ(into, (std::map {{1, 5}, {2, 2}, {3, 3}})) << name; + EXPECT_EQ(ascending_edges(*rec.bundle), (std::vector {id[0], id[1], id[2]})) << name; + } +} + +// The call's termination is the highest local outcome among the unserved sources, LimitFlows > +// LimitDiminishing > Exhausted > NoRoute, here around LimitDiminishing. Sources 0 and 1 with +// parallel edges to node 2; CapacityAware single paths (the lowest EdgeId first), MaxFlow, one flow +// at creation, the guard DiminishingReturns(1, 0.5); request 40 offers 20 to each source, so a +// growth step that gains below 10 stops growth. Source 1 has edges of 5, 3 and 10 units: it creates +// 5, grows 3 and stops (LimitDiminishing, 8 placed). Source 0: +// edges 5, 10, 10 and at most 2 flows: 5, then 10 (not below 10), then the ceiling of 2 flows +// above flow_count 1 with the offer unmet: LimitFlows (15), and the call is LimitFlows; +// edges 5 and 10, no ceiling: 5, then 10, then no route is left: Exhausted (15), and the call +// is LimitDiminishing; +// one edge of 5 that a third party fills: no flow (NoRoute), and the call is LimitDiminishing. +TEST(FlowPolicyOutcomes, TheCallTakesTheHighestUnservedOutcome) { + using Outcomes = std::vector>; + struct Case { + const char* name; + std::vector source0; + std::optional max_flow_count; + bool occupied; + Amount placed; + Termination first, call; + }; + const std::vector cases = { + {"LimitFlows over LimitDiminishing", {5, 10, 10}, 2, false, 23, Termination::LimitFlows, Termination::LimitFlows}, + {"LimitDiminishing over Exhausted", {5, 10}, std::nullopt, false, 23, Termination::Exhausted, + Termination::LimitDiminishing}, + {"LimitDiminishing over NoRoute", {5}, std::nullopt, true, 8, Termination::NoRoute, Termination::LimitDiminishing}, + }; + for (const auto& c : cases) { + std::vector rows; + for (const Amount x : c.source0) rows.push_back({0, 2, x, 1}); + for (const Amount x : {5, 3, 10}) rows.push_back({1, 2, x, 1}); + auto g = shared(make_graph(3, rows)); + FlowLedger fg(g); + std::optional third; + if (c.occupied) { + Pinned edge; + edge.bundles = {dag_of(*g, {0})}; + third.emplace(fg, v({0}), v({2}), cfg(edge, FlowPlacement::MaxFlow)); + ASSERT_EQ(third->place(5).placed, 5) << c.name; + } + CapacityAware ca; + ca.max_flow_count = c.max_flow_count; + ca.diminishing = DiminishingReturns {1, 0.5}; + FlowPolicy p(fg, v({0, 1}), v({2}), cfg(ca, FlowPlacement::MaxFlow, Admission::Lossless, + sel(EdgeTieBreak::Deterministic, EdgePriority::Capacity, false))); + const auto r = p.place(40); + EXPECT_EQ(r.placed, c.placed) << c.name; + EXPECT_EQ(r.local_outcomes, (Outcomes {{0, c.first}, {1, Termination::LimitDiminishing}})) << c.name; + EXPECT_EQ(r.termination, c.call) << c.name; + } +} + +namespace { + +// Three disjoint routes from 0 to 4 (input order): A = 0 -> 1 -> 4 of cost 1 + 1 = 2, B = 0 -> 2 +// -> 4 of cost 2 + 1 = 3, C = 0 -> 3 -> 4 of cost 2 + 2 = 4, capacities a, b and c on both +// edges of each route. +std::shared_ptr three_routes(Amount a, Amount b, Amount c) { + return shared(make_graph(5, {{0, 1, a, 1}, {1, 4, a, 1}, {0, 2, b, 2}, {2, 4, b, 1}, {0, 3, c, 2}, {3, 4, c, 2}})); +} + +// A policy's records as (route cost, delivered, ascending bundle edges, per-edge allocation). +using RouteRow = std::tuple, std::vector>>; + +std::vector routes_of(const FlowPolicy& p) { + std::vector out; + for (const auto& r : p.records()) out.emplace_back(r.route_cost, r.delivered, ascending_edges(*r.bundle), r.edges); + return out; +} + +// The route of the input edges i and j carrying x units on each. +RouteRow route(const Graph& g, Cost cost, Amount x, std::size_t i, std::size_t j) { + const auto inv = id_of_input(g); + std::vector e = {inv[i], inv[j]}; + std::sort(e.begin(), e.end()); + return {cost, x, e, {{e[0], x}, {e[1], x}}}; +} + +CapacityAware ceiling(std::optional c, Amount floor = 0) { + CapacityAware ca; + ca.max_path_cost = c; + ca.min_flow_bandwidth = floor; + return ca; +} + +} // namespace + +// The CapacityAware path-cost ceiling (inclusive, Absolute(c) a budget, Stretch(f) f times the +// static cost-only shortest cost), MaxFlow and EqualBalanced, one source, place(10) with +// flow_count 1 and no max_flow_count. Derivation (the stages of flow_policy.cpp: 1 creation, +// 3 amounts, 4 growth) on three_routes(2, 2, 2), A, B, C of cost 2, 3, 4 and 2 units each: +// MaxFlow: stage 1 creates a flow on the shortest admitted route A; stage 3 fills it to +// T_max = 2; growth searches W (A now has residual 0) and adds B (cost 3) filled to 2, then +// searches again: only C is left. Under Absolute(3) or Stretch(1.5) (1.5 * 2 = 3) C's cost 4 +// is above the ceiling: no candidate, stop, placed 4, `exhausted` (growth found no +// candidate). Under Absolute(4) or Stretch(2) (ceiling 4, inclusive) C is added: placed 6. +// EqualBalanced: stage 3 sets T = T_max_cohort({A}) = 2; growth adds B with T' = min(0 + 10, +// T_max_cohort({A, B})) = 4 split [2, 2] (accepted, gain 2); the next search finds only C: +// the same ceilings give placed 4, or 6 with C (cohort [2, 2, 2]). +// Absolute(1): no route is admitted at all, stage 1 creates nothing: placed 0, `no_route`. +TEST(CapacityAwareGates, PathCostCeilingExcludesACostlierRoute) { + auto g = three_routes(2, 2, 2); + const auto A = route(*g, 2, 2, 0, 1); + const auto B = route(*g, 3, 2, 2, 3); + const auto C = route(*g, 4, 2, 4, 5); + for (const auto kernel : {FlowPlacement::MaxFlow, FlowPlacement::EqualBalanced}) { + struct Case { + const char* name; + std::optional c; + Amount placed; + Termination term; + std::vector routes; + }; + const std::vector cases = { + {"Absolute(3)", Absolute {3}, 4, Termination::Exhausted, {A, B}}, + {"Stretch(1.5)", Stretch {1.5}, 4, Termination::Exhausted, {A, B}}, + {"Absolute(4)", Absolute {4}, 6, Termination::Exhausted, {A, B, C}}, + {"Stretch(2)", Stretch {2.0}, 6, Termination::Exhausted, {A, B, C}}, + {"none", std::nullopt, 6, Termination::Exhausted, {A, B, C}}, + {"Absolute(1)", Absolute {1}, 0, Termination::NoRoute, {}}, + }; + for (const auto& c : cases) { + const std::string where = + std::string(kernel == FlowPlacement::MaxFlow ? "MaxFlow" : "EqualBalanced") + " ceiling " + c.name; + FlowLedger fg(g); + FlowPolicy p(fg, v({0}), v({4}), cfg(ceiling(c.c), kernel)); + const auto r = p.place(10); + EXPECT_EQ(r.placed, c.placed) << where; + EXPECT_EQ(r.remaining, 10 - c.placed) << where; + EXPECT_EQ(r.termination, c.term) << where; + EXPECT_EQ(r.local_outcomes, (std::vector> {{0, c.term}})) << where; + EXPECT_EQ(r.routes_changed, !c.routes.empty()) << where; + EXPECT_FALSE(r.weights_changed) << where; + EXPECT_EQ(routes_of(p), c.routes) << where; + } + } +} + +// The Stretch baseline is the static shortest cost, residual ignored. A third party holds +// both units of A before the policy is built: the static shortest cost stays 2, so Stretch(1.5) +// admits cost 3 and not 4. Stage 1 creates the flow on B (A has residual 0), stage 3 fills it to +// 2, growth finds no admitted route: placed 2, `exhausted`. A baseline taken on the residual +// (3, from B) would admit C under 1.5 * 3 = 4.5 and place 4; Stretch(2) admits C (2 * 2 = 4) +// and places 4. +TEST(CapacityAwareGates, StretchBaselineIsTheStaticShortestCost) { + auto g = three_routes(2, 2, 2); + const auto inv = id_of_input(*g); + const auto B = route(*g, 3, 2, 2, 3); + const auto C = route(*g, 4, 2, 4, 5); + for (const auto kernel : {FlowPlacement::MaxFlow, FlowPlacement::EqualBalanced}) { + for (const double f : {1.5, 2.0}) { + const std::string where = std::string(kernel == FlowPlacement::MaxFlow ? "MaxFlow" : "EqualBalanced") + + " Stretch " + std::to_string(f); + FlowLedger fg(g); + Pinned third; + third.bundles = {dag_of(*g, {inv[0], inv[1]})}; + FlowPolicy other(fg, v({0}), v({4}), cfg(third, FlowPlacement::MaxFlow)); + ASSERT_EQ(other.place(2).placed, 2) << where; + FlowPolicy p(fg, v({0}), v({4}), cfg(ceiling(Stretch {f}), kernel)); + const auto r = p.place(10); + const bool with_c = f == 2.0; + EXPECT_EQ(r.placed, with_c ? 4 : 2) << where; + EXPECT_EQ(r.termination, Termination::Exhausted) << where; + EXPECT_EQ(routes_of(p), with_c ? (std::vector {B, C}) : (std::vector {B})) << where; + } + } + // Under an Eligibility the baseline is the shortest eligible cost: with A's first edge excluded + // it is B's 3, so Stretch(1.5) admits up to 4.5, C included: B and C, 4 placed (a baseline that + // ignored the Eligibility, 2, would admit up to 3: B alone). + const auto el = g->eligibility({}, std::vector {inv[0]}); + for (const auto kernel : {FlowPlacement::MaxFlow, FlowPlacement::EqualBalanced}) { + FlowLedger fg(g); + FlowPolicy p(fg, v({0}), v({4}), cfg(ceiling(Stretch {1.5}), kernel), &el); + const auto r = p.place(10); + EXPECT_EQ(r.placed, 4); + EXPECT_EQ(r.termination, Termination::Exhausted); + EXPECT_EQ(routes_of(p), (std::vector {B, C})); + } +} + +// The policy's Stretch ceiling is exact at large costs and factors: route A 0-1-4 of cost +// 2^60 and route B 0-2-4 of cost 2^60 + 1, 2 units each, MaxFlow, place(10). Stretch(1) admits +// A only (in a double both costs round to 2^60): placed 2. Stretch(1 + 2^-52) admits B +// (2^60 + 2^8 >= 2^60 + 1), and so does Stretch(2^70), whose product with 2^60 needs more than +// 128 bits unless the bit lengths are compared first: placed 4. +TEST(CapacityAwareGates, StretchCeilingIsExactForLargeCostsAndFactors) { + const Cost half = Cost {1} << 59; + auto g = shared(make_graph(5, {{0, 1, 2, half}, {1, 4, 2, half}, {0, 2, 2, half}, {2, 4, 2, half + 1}})); + const auto A = route(*g, 2 * half, 2, 0, 1); + const auto B = route(*g, 2 * half + 1, 2, 2, 3); + for (const double f : {1.0, std::nextafter(1.0, 2.0), std::ldexp(1.0, 70)}) { + const std::string where = "Stretch " + std::to_string(f); + FlowLedger fg(g); + FlowPolicy p(fg, v({0}), v({4}), cfg(ceiling(Stretch {f}), FlowPlacement::MaxFlow)); + const auto r = p.place(10); + const bool with_b = f != 1.0; + EXPECT_EQ(r.placed, with_b ? 4 : 2) << where; + EXPECT_EQ(r.termination, Termination::Exhausted) << where; + EXPECT_EQ(routes_of(p), with_b ? (std::vector {A, B}) : (std::vector {A})) << where; + } +} + +// min_flow_bandwidth gates every CapacityAware search at residual >= max(1, floor), on +// three_routes(4, 2, 0): A of 4 units at cost 2, B of 2 units at cost 3, C of 0 units, place(10). +// Floor 3, MaxFlow: stage 1 creates on A (residual 4 >= 3), stage 3 fills 4; growth: A has +// residual 0 and B 2 < 3, no route: stop, placed 4, `exhausted`. Floor 2: growth adds B (2): +// placed 6. EqualBalanced: T = T_max_cohort({A}) = 4; floor 3 stops growth there (placed 4); +// floor 2 adds B with T' = T_max_cohort({A, B}) = 5 split [3, 2] by round robin in FlowId +// order (6 would need 3 on B), gain 1; the next search sees A at residual 1 < 2: placed 5. +// Floor 5 is above every residual: stage 1 finds no route, placed 0, `no_route`. +TEST(CapacityAwareGates, MinFlowBandwidthStopsGrowthBelowTheFloor) { + auto g = three_routes(4, 2, 0); + struct Case { + FlowPlacement kernel; + Amount floor; + Amount placed; + Termination term; + std::vector routes; + }; + const std::vector cases = { + {FlowPlacement::MaxFlow, 3, 4, Termination::Exhausted, {route(*g, 2, 4, 0, 1)}}, + {FlowPlacement::MaxFlow, 2, 6, Termination::Exhausted, {route(*g, 2, 4, 0, 1), route(*g, 3, 2, 2, 3)}}, + {FlowPlacement::MaxFlow, 5, 0, Termination::NoRoute, {}}, + {FlowPlacement::EqualBalanced, 3, 4, Termination::Exhausted, {route(*g, 2, 4, 0, 1)}}, + {FlowPlacement::EqualBalanced, 2, 5, Termination::Exhausted, {route(*g, 2, 3, 0, 1), route(*g, 3, 2, 2, 3)}}, + {FlowPlacement::EqualBalanced, 5, 0, Termination::NoRoute, {}}, + }; + for (const auto& c : cases) { + const std::string where = std::string(c.kernel == FlowPlacement::MaxFlow ? "MaxFlow" : "EqualBalanced") + + " floor " + std::to_string(c.floor); + FlowLedger fg(g); + FlowPolicy p(fg, v({0}), v({4}), cfg(ceiling(std::nullopt, c.floor), c.kernel)); + const auto r = p.place(10); + EXPECT_EQ(r.placed, c.placed) << where; + EXPECT_EQ(r.termination, c.term) << where; + EXPECT_EQ(r.routes_changed, !c.routes.empty()) << where; + EXPECT_EQ(routes_of(p), c.routes) << where; + } +} + +// The diminishing guard stops growth once at least `window` growth steps were accepted in the +// call and the last `window` gains sum strictly below fraction times the source's offer. One source, +// parallel edges 0 -> 1 taken in EdgeId order (CapacityAware single paths, MaxFlow, one flow at +// creation), DiminishingReturns(window, 0.5): +// edges 2, 6, 1, 4, offer 12, window 1 (threshold 6): creation 2; growth gains 6 (equal to the +// threshold, not below: continue), then 1 (below, with 3 of the offer left): stop, +// LimitDiminishing, 9 placed. Only the last gain counts: 6 + 1 would not stop it. +// edges 2, 1, 4, offer 8, window 1 (threshold 4): creation 2; the first growth step gains 1: +// stop at once, 3 placed. +// edges 2, 1, 4, offer 8, window 2: the first step is not checked alone; 1 + 4 = 5 is not +// below 4; no edge is left: Exhausted, 7 placed. +TEST(CapacityAwareGates, DiminishingStopsWhenTheLastWindowGainsFallBelowTheFraction) { + struct Case { + std::vector caps; + Amount offer; + std::int32_t window; + Amount placed; + Termination term; + std::vector flows; + }; + const std::vector cases = { + {{2, 6, 1, 4}, 12, 1, 9, Termination::LimitDiminishing, {2, 6, 1}}, + {{2, 1, 4}, 8, 1, 3, Termination::LimitDiminishing, {2, 1}}, + {{2, 1, 4}, 8, 2, 7, Termination::Exhausted, {2, 1, 4}}, + }; + for (const auto& c : cases) { + const std::string where = "window " + std::to_string(c.window) + " offer " + std::to_string(c.offer); + std::vector rows; + for (const Amount x : c.caps) rows.push_back({0, 1, x, 1}); + auto g = shared(make_graph(2, rows)); + FlowLedger fg(g); + CapacityAware ca; + ca.diminishing = DiminishingReturns {c.window, 0.5}; + FlowPolicy p(fg, v({0}), v({1}), cfg(ca, FlowPlacement::MaxFlow, Admission::Lossless, + sel(EdgeTieBreak::Deterministic, EdgePriority::Capacity, false))); + const auto r = p.place(c.offer); + EXPECT_EQ(r.placed, c.placed) << where; + EXPECT_EQ(r.termination, c.term) << where; + std::vector flows; + for (const auto& rec : p.records()) flows.push_back(rec.delivered); + EXPECT_EQ(flows, c.flows) << where; + } +} + TEST(PredDAGStorage, ABundleCostsItsEntriesNotTheGraph) { const std::int32_t n = 1'000'000; auto g = shared(make_graph(n, {{n - 3, n - 2, 4, 1}, {n - 2, n - 1, 4, 1}})); @@ -426,89 +1437,43 @@ TEST(PredDAGStorage, ABundleCostsItsEntriesNotTheGraph) { FlowPolicy p(fg, v({n - 3}), v({n - 1}), cfg(pin, FlowPlacement::MaxFlow)); EXPECT_EQ(p.place(3).placed, 3); EXPECT_LT(detail::PredDAGBuilder::payload_bytes(*p.records().front().bundle), 128U); -} - -TEST(DagCache, KeyStatisticsAndTheBuildingTransitions) { - auto g = diamond(5, 5); - DagCache cache(*g); - EXPECT_EQ(cache.stats().entries, 0); - // Two CostOnly policies differing only in selection share one entry (selection is a - // projection at creation, never part of the key). - FlowLedger fg(g); - FlowPolicy a(fg, v({0}), v({3}), cfg(CostOnly {}, FlowPlacement::EqualBalanced), nullptr, &cache); - FlowPolicy b(fg, v({0}), v({3}), - cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, - sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, false)), - nullptr, &cache); - auto s = cache.stats(); - EXPECT_EQ(s.misses, 1); - EXPECT_EQ(s.hits, 1); - EXPECT_EQ(s.entries, 1); - EXPECT_GT(s.bytes, 0); - // The key: roots as a set, the direction, the Eligibility uid. - const auto x = cache.lookup(*g, v({3, 3}), Direction::Reverse, nullptr); - EXPECT_EQ(cache.stats().hits, 2); - (void)cache.lookup(*g, v({3}), Direction::Forward, nullptr); - const auto el = g->eligibility({}, std::vector {0}); - const auto y = cache.lookup(*g, v({3}), Direction::Reverse, &el); - s = cache.stats(); - EXPECT_EQ(s.misses, 3); - EXPECT_EQ(s.entries, 3); - EXPECT_EQ(edges_of(*y), (std::vector {1, 2, 3})); // the static support under el (no 0 -> 1) - EXPECT_EQ(edges_of(*x), (std::vector {0, 1, 2, 3})); - // Invalid queries throw and count nothing. - auto other = diamond(5, 5); - EXPECT_THROW((void)cache.lookup(*other, v({3}), Direction::Reverse, nullptr), std::invalid_argument); - const auto foreign = other->eligibility({}, std::vector {0}); - EXPECT_THROW((void)cache.lookup(*g, v({3}), Direction::Reverse, &foreign), std::invalid_argument); - EXPECT_THROW((void)cache.lookup(*g, v({9}), Direction::Reverse, nullptr), std::invalid_argument); - EXPECT_THROW((void)cache.lookup(*g, std::vector {}, Direction::Reverse, nullptr), std::invalid_argument); - EXPECT_EQ(cache.stats().misses, 3); - EXPECT_EQ(cache.stats().hits, 2); - // clear(): empties, counters persist, held values stay valid and alive. - const auto held = x; - EXPECT_EQ(cache.stats().live_values, 3); - cache.clear(); - s = cache.stats(); - EXPECT_EQ(s.entries, 0); - EXPECT_EQ(s.bytes, 0); - EXPECT_EQ(s.hits, 2); - EXPECT_EQ(s.misses, 3); - EXPECT_EQ(s.live_values, 2); // x (= held) and y; the Forward entry died with the clear - EXPECT_EQ(edges_of(*held), (std::vector {0, 1, 2, 3})); - // After clear() a lookup misses and inserts again. - (void)cache.lookup(*g, v({3}), Direction::Reverse, nullptr); - EXPECT_EQ(cache.stats().misses, 4); -} - -TEST(DagCache, ValuesOutliveTheCache) { - auto g = diamond(5, 5); - std::shared_ptr v1; - { - DagCache cache(*g); - v1 = cache.lookup(*g, v({3}), Direction::Reverse, nullptr); + // The record bundles the engine builds itself are sparse too: a supplied bundle pruned by an + // Eligibility (the bypass n - 3 -> n - 1 excluded), and the CostOnly and Global routes. + auto h = shared(make_graph(n, {{n - 3, n - 2, 4, 1}, {n - 2, n - 1, 4, 1}, {n - 3, n - 1, 4, 5}})); + const auto inv = id_of_input(*h); + Pinned all; + all.bundles = {dag_of(*h, {inv[0], inv[1], inv[2]})}; + const auto el = h->eligibility({}, std::vector {inv[2]}); + const std::vector> built = { + {"pruned Pinned", cfg(all, FlowPlacement::MaxFlow)}, {"CostOnly", cost_only_config()}, {"Global", global_config()}}; + for (const auto& [name, c] : built) { + FlowLedger fh(h); + FlowPolicy q(fh, v({n - 3}), v({n - 1}), c, std::holds_alternative(c.routing) ? &el : nullptr); + EXPECT_EQ(q.place(3).placed, 3) << name; + const auto bundle = q.records().front().bundle; + EXPECT_NE(bundle.get(), all.bundles[0].get()) << name; + EXPECT_EQ(ascending_edges(*bundle), (std::vector {inv[0], inv[1]})) << name; + EXPECT_LT(detail::PredDAGBuilder::payload_bytes(*bundle), 128U) << name; } - EXPECT_EQ(edges_of(*v1), (std::vector {0, 1, 2, 3})); } TEST(Evaluators, CapacityIsPlaceInfOnAFreshLedger) { + // Every field of the result, in every routing model (Pinned's bundle joins the endpoints). auto g = diamond(5, 3, 2); - for (const auto& c : {global_cfg(), cfg(CostOnly {}, FlowPlacement::EqualBalanced), - cfg(CapacityAware {.flow_count = 2, .max_flow_count = 4}, FlowPlacement::MaxFlow)}) { + Pinned pin; + pin.bundles = {dag_of(*g, {0, 2}), dag_of(*g, {1, 3})}; + for (const auto& c : {global_config(), cost_only_config(), + cfg(CapacityAware {.flow_count = 2, .max_flow_count = 4}, FlowPlacement::MaxFlow), + cfg(pin, FlowPlacement::EqualBalanced)}) { const auto r = capacity(*g, v({0}), v({3}), CapacityOptions {c, nullptr, nullptr, OutputOptions {true, true, true}}); FlowLedger fg(g); FlowPolicy p(fg, v({0}), v({3}), c); const auto want = p.place(std::nullopt, OutputOptions {true, true, true}); - EXPECT_EQ(r.placed, want.placed); - EXPECT_EQ(r.termination, want.termination); - EXPECT_EQ(r.edge_flows, want.edge_flows); - EXPECT_EQ(r.residual, want.residual); - EXPECT_EQ(r.bottleneck, want.bottleneck); - EXPECT_EQ(r.min_cut, want.min_cut); - EXPECT_EQ(r.cost_distribution, want.cost_distribution); + EXPECT_GT(want.placed, 0); // two empty results would agree too + expect_same(r, want, "capacity against place(+inf)"); } // The exact maximum flow: Global's curve (cheapest walks first). - const auto exact = capacity(*g, v({0}), v({3}), CapacityOptions {global_cfg()}); + const auto exact = capacity(*g, v({0}), v({3}), CapacityOptions {global_config()}); EXPECT_EQ(exact.placed, 8); EXPECT_EQ(*exact.cost_distribution, curve({{2, 5}, {4, 3}})); } @@ -520,17 +1485,22 @@ TEST(Evaluators, BatchOrderIntersectionsExceptionsAndWorkers) { std::vector, std::vector>> pairs = { {{0}, {3}}, {{0}, {3}}, {{1}, {3}}, {{0}, {1, 2}}}; const std::vector per = {nullptr, &first_route, nullptr, nullptr}; - const CapacityOptions opts {global_cfg(), &common}; + const CapacityOptions opts {global_config(), &common, nullptr, OutputOptions {true, true, true}}; const auto r1 = batch_capacity(*g, pairs, opts, per, 1); ASSERT_EQ(r1.size(), 4U); EXPECT_EQ(r1[0].placed, 5); // common only: route 1 EXPECT_EQ(r1[1].placed, 0); // common and the pair's: both routes cut EXPECT_EQ(r1[2].placed, 5); EXPECT_EQ(r1[3].placed, 8); // destination set {1, 2}: both first edges (edge 3 excluded is past 2) + EXPECT_EQ(*r1[3].cost_distribution, curve({{1, 8}})); + EXPECT_EQ(*r1[3].min_cut, (std::vector {0, 1})); + // Every field of every result is the same for any worker count. for (std::int32_t w : {2, 3, 8}) { const auto rw = batch_capacity(*g, pairs, opts, per, w); ASSERT_EQ(rw.size(), 4U); - for (std::size_t i = 0; i < 4; ++i) EXPECT_EQ(rw[i].placed, r1[i].placed) << "workers " << w << " pair " << i; + for (std::size_t i = 0; i < 4; ++i) { + expect_same(rw[i], r1[i], "workers " + std::to_string(w) + " pair " + std::to_string(i)); + } } EXPECT_TRUE(batch_capacity(*g, {}, opts, {}, 4).empty()); // Validation before any worker: endpoints, lengths, foreign values, Pinned, workers, the @@ -552,12 +1522,42 @@ TEST(Evaluators, BatchOrderIntersectionsExceptionsAndWorkers) { "Pinned")); EXPECT_TRUE(contains(error_of([&] { (void)batch_capacity(*g, pairs, opts, per, 0); }), "workers")); DagCache cache(*g); - const CapacityOptions with_cache {cfg(CostOnly {}, FlowPlacement::EqualBalanced), nullptr, &cache}; + const CapacityOptions with_cache {cost_only_config(), nullptr, &cache}; EXPECT_TRUE(contains(error_of([&] { (void)batch_capacity(*g, pairs, with_cache, {}, 2); }), "workers == 1")); const auto cached = batch_capacity(*g, pairs, with_cache, {}, 1); EXPECT_EQ(cache.stats().misses, 2); // destination sets {3} and {1, 2} EXPECT_EQ(cache.stats().hits, 2); EXPECT_EQ(cached[0].placed, 7); // CostOnly EB over routes of 5 and 3: [4, 3] (odd unit to the lower id) + // The argument checks in their documented order, all before the pairs: with every defect + // present the first is reported, and with that one removed the next. Pinned also carries a + // configuration error (Lossy admission with the MaxFlow kernel); pair 2 has a destination out of + // range. The building cache is untouched: no lookup ran. + DagCache foreign_cache(*other); + DagCache building(*g); + Pinned lossy_pin; + lossy_pin.bundles = {dag_of(*g, {0, 2})}; + const FlowPolicyConfig pinned_bad = cfg(lossy_pin, FlowPlacement::MaxFlow, Admission::Lossy); + const FlowPolicyConfig config_bad = cfg(CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossy); + bad = pairs; + bad[2].second = {9}; + const std::vector short_per = {nullptr}; + auto first_error = [&](const FlowPolicyConfig& c, const Eligibility* elig, DagCache* with, + const std::vector& per_pair, std::int32_t workers) { + return error_of([&] { (void)batch_capacity(*g, bad, CapacityOptions {c, elig, with}, per_pair, workers); }); + }; + EXPECT_EQ(first_error(pinned_bad, &foreign, &foreign_cache, short_per, 0), "workers must be >= 1 (got 0)"); + EXPECT_EQ(first_error(pinned_bad, &foreign, &foreign_cache, short_per, 2), + "foreign Eligibility: built for another graph"); + EXPECT_EQ(first_error(pinned_bad, nullptr, &foreign_cache, short_per, 2), "foreign DagCache: bound to another graph"); + EXPECT_EQ(first_error(pinned_bad, nullptr, &building, short_per, 2), + "a supplied building DagCache has one writer: it is rejected unless workers == 1 (got workers = 2; a " + "frozen cache may be shared by every worker)"); + EXPECT_EQ(first_error(pinned_bad, nullptr, &building, short_per, 1), + "Pinned routing is rejected in batch_capacity (bundles bind their endpoints)"); + EXPECT_EQ(first_error(config_bad, nullptr, &building, short_per, 1), kLossyKernelError); + EXPECT_EQ(first_error(global_config(), nullptr, &building, short_per, 1), "per_pair_elig has 1 entries for 4 pairs"); + EXPECT_EQ(first_error(global_config(), nullptr, &building, per, 1), "destinations: node 9 out of node range [0, 4)"); + EXPECT_EQ(stats_of(building.stats()), stats_of(DagCache(*g).stats())); } TEST(Evaluators, BatchValidatesInPairOrderBeforeAnyWorker) { @@ -565,19 +1565,37 @@ TEST(Evaluators, BatchValidatesInPairOrderBeforeAnyWorker) { auto g = diamond(5, 3); std::vector, std::vector>> pairs = { {{0}, {3}}, {{0}, {7}}, {{0}, {3}}, {{0}, {8}}}; - const auto msg = error_of([&] { (void)batch_capacity(*g, pairs, CapacityOptions {global_cfg()}, {}, 4); }); + const auto msg = error_of([&] { (void)batch_capacity(*g, pairs, CapacityOptions {global_config()}, {}, 4); }); EXPECT_TRUE(contains(msg, "node 7")) << msg; + // Within one pair: the sources, then the destinations, then their overlap, then the pair's + // Eligibility's graph. + const auto elsewhere = diamond(5, 3); + const auto foreign = elsewhere->eligibility({}, std::vector {0}); + const std::vector per = {&foreign}; + const auto pair_error = [&](std::vector s, std::vector d) { + const std::vector, std::vector>> one = {{s, d}}; + return error_of([&] { (void)batch_capacity(*g, one, CapacityOptions {global_config()}, per, 1); }); + }; + EXPECT_EQ(pair_error({}, {9}), "sources: the node set is empty"); + EXPECT_EQ(pair_error({0, 3}, {3, 9}), "destinations: node 9 out of node range [0, 4)"); + EXPECT_EQ(pair_error({0, 3}, {3}), "node 3 is in both endpoint sets: sources and destinations must not overlap"); + EXPECT_EQ(pair_error({0}, {3}), "foreign Eligibility: per_pair_elig[0] built for another graph"); } // The sensitivity shortcuts (Global from the baseline's maximum flow, CostOnly without a -// re-evaluation of the edges outside the baseline's routes) give the losses of the definition, -// the baseline's placed amount minus capacity() with the edge excluded, on random graphs with -// parallel edges, self-loops, dispersed costs, zero capacities, endpoint sets, eligibility -// masks and every CostOnly kernel, admission and selection. +// re-evaluation of the edges outside the static shortest-path support reachable from the sources) +// and the plain re-evaluations (CapacityAware, Pinned) give the losses of the definition, the +// baseline's placed amount minus capacity() with the edge excluded, on random graphs with parallel +// edges, self-loops, dispersed costs, zero capacities, endpoint sets and eligibility masks; every +// CostOnly kernel with every tie break, multipath and multi_edge setting under the Capacity +// priority, both admissions, and one Residual single-path selection (no Headroom); two +// CapacityAware configurations (growth, and reoptimization under a Stretch ceiling); and Pinned +// with two bundles (the static support toward the destination and the second shortest path) on +// single endpoints. An edge without an entry has loss 0 by the same definition. TEST(Evaluators, SensitivityEqualsTheDefinitionOnRandomGraphs) { std::mt19937 rng(20261005); auto pick = [&](int n) { return static_cast(rng() % static_cast(n)); }; - std::vector configs = {global_cfg()}; + std::vector configs = {global_config()}; for (auto k : {FlowPlacement::MaxFlow, FlowPlacement::EqualBalanced, FlowPlacement::Weighted}) { for (bool multipath : {true, false}) { for (bool multi_edge : {true, false}) { @@ -589,10 +1607,18 @@ TEST(Evaluators, SensitivityEqualsTheDefinitionOnRandomGraphs) { } configs.push_back(cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy)); configs.push_back(cfg(CostOnly {}, FlowPlacement::Weighted, Admission::Lossy, sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, false))); + configs.push_back(cfg(CapacityAware {.flow_count = 1, .max_flow_count = 3}, FlowPlacement::EqualBalanced, + Admission::Lossless, sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, false))); + configs.push_back(cfg(CapacityAware {.flow_count = 2, .max_path_cost = Stretch {2.0}, .reoptimize = true}, + FlowPlacement::MaxFlow)); int entries = 0; int global_losses = 0; int policy_losses = 0; int policy_zero = 0; + int aware_losses = 0; + int pinned_losses = 0; + int pinned_trials = 0; + int absent = 0; for (int trial = 0; trial < 60; ++trial) { const int n = 4 + pick(7); std::vector es; @@ -610,42 +1636,84 @@ TEST(Evaluators, SensitivityEqualsTheDefinitionOnRandomGraphs) { if (pick(2) == 0) xe.push_back(static_cast(pick(static_cast(es.size())))); const auto mask = g->eligibility(xn, xe); const Eligibility* elig = pick(2) == 0 ? &mask : nullptr; - for (const auto& c : configs) { + // Pinned on the single endpoints 0 and n - 1, when 0 reaches n - 1 statically. + auto trial_configs = configs; + const NodeId t0 = n - 1; + const auto support = std::make_shared( + detail::static_support(*g, std::vector {t0}, Direction::Reverse, nullptr)); + const auto paths = ksp(*g, 0, t0, KspOptions(2, sel())); + if (paths.size() == 2) { + Pinned pin; + pin.bundles = {support, std::make_shared(paths[1].second.to_dag())}; + trial_configs.push_back(cfg(pin, FlowPlacement::Weighted, Admission::Lossless, sel())); + ++pinned_trials; + } + for (const auto& c : trial_configs) { const bool global = std::holds_alternative(c.routing); - const auto r = sensitivity(*g, s, t, SensitivityOptions {c, elig}, 1 + pick(3)); - for (const auto& e : r.entries) { - ASSERT_EQ(e.status, SensitivityStatus::Evaluated); - const EdgeId one[1] = {e.edge}; + const bool cost_only = std::holds_alternative(c.routing); + const bool pinned = std::holds_alternative(c.routing); + const std::vector cs = pinned ? std::vector {0} : s; + const std::vector ct = pinned ? std::vector {t0} : t; + const auto r = sensitivity(*g, cs, ct, SensitivityOptions {c, elig}, 1 + pick(3)); + // The baseline is capacity() itself, and the entries are the candidates in ascending order: + // Global, the baseline's positive-flow edges; CostOnly, every allowed edge of at least one + // unit of capacity. + const auto base = capacity(*g, cs, ct, CapacityOptions {c, elig, nullptr, OutputOptions {true, false, false}}); + ASSERT_EQ(r.baseline.placed, base.placed) << "trial " << trial; + std::vector candidates; + for (EdgeId e = 0; e < g->num_edges(); ++e) { + const auto ei = static_cast(e); + if (global ? (*base.edge_flows)[ei] > 0 : (elig == nullptr || elig->edge_ok(e)) && g->capacity_units()[ei] >= 1) { + candidates.push_back(e); + } + } + const std::string model = global ? " Global" : cost_only ? " CostOnly" : pinned ? " Pinned" : " CapacityAware"; + std::vector listed; + for (const auto& e : r.entries) listed.push_back(e.edge); + ASSERT_EQ(listed, candidates) << "trial " << trial << model; + // The loss of deleting `e`, by the definition. + const auto loss = [&](EdgeId e) { + const EdgeId one[1] = {e}; auto deleted = g->eligibility({}, one); if (elig != nullptr) deleted = Eligibility::intersect(*elig, deleted); - const Amount want = r.baseline.placed - capacity(*g, s, t, CapacityOptions {c, &deleted}).placed; - ASSERT_EQ(*e.loss, want) << "trial " << trial << " edge " << e.edge << (global ? " Global" : " CostOnly"); + return base.placed - capacity(*g, cs, ct, CapacityOptions {c, &deleted}).placed; + }; + for (const auto& e : r.entries) { + const Amount want = loss(e.edge); + ASSERT_EQ(e.loss, want) << "trial " << trial << " edge " << e.edge << model; ++entries; - if (want != 0) ++(global ? global_losses : policy_losses); - if (!global && want == 0) ++policy_zero; + if (want != 0) ++(global ? global_losses : cost_only ? policy_losses : pinned ? pinned_losses : aware_losses); + if (cost_only && want == 0) ++policy_zero; + } + for (EdgeId e = 0; e < g->num_edges(); ++e) { + if (std::find(listed.begin(), listed.end(), e) != listed.end()) continue; + EXPECT_EQ(loss(e), 0) << "trial " << trial << " edge " << e << model << ": an edge without an entry"; + ++absent; } } } - // Not vacuous: many entries, losses under both models and zero-loss CostOnly deletions. + // Not vacuous: many entries, losses under every model, zero-loss CostOnly deletions, Pinned + // trials, and edges without an entry. EXPECT_GT(entries, 3000); EXPECT_GT(global_losses, 100); EXPECT_GT(policy_losses, 500); EXPECT_GT(policy_zero, 500); + EXPECT_GT(aware_losses, 100); + EXPECT_GT(pinned_losses, 30); + EXPECT_GT(pinned_trials, 20); + EXPECT_GT(absent, 500); } -TEST(Evaluators, SensitivityCandidatesSignedLossesAndUnevaluable) { +TEST(Evaluators, SensitivityCandidatesAndSignedLosses) { // Global: candidates are the baseline's positive-flow edges; an unsaturated critical edge - // appears (rule 1): 0 -> 1 of capacity 9 carries 4 (its tail 1 -> 2 holds 4) and its deletion - // loses 4; the saturated-only candidate set of 0.12 missed it. + // appears: 0 -> 1 of capacity 9 carries 4 (its tail 1 -> 2 holds 4) and its deletion + // loses 4; a candidate set of saturated edges only would miss it. auto g = shared(make_graph(3, {{0, 1, 9, 1}, {1, 2, 4, 1}, {0, 2, 2, 5}})); - auto s = sensitivity(*g, v({0}), v({2}), SensitivityOptions {global_cfg()}, 1); + auto s = sensitivity(*g, v({0}), v({2}), SensitivityOptions {global_config()}, 1); EXPECT_EQ(s.baseline.placed, 6); EXPECT_FALSE(s.baseline.edge_flows.has_value()); // requested internally, not returned std::map losses; - for (const auto& e : s.entries) { - EXPECT_EQ(e.status, SensitivityStatus::Evaluated); - losses[e.edge] = *e.loss; - } + for (const auto& e : s.entries) losses[e.edge] = e.loss; const auto inv = id_of_input(*g); EXPECT_EQ(losses.at(inv[0]), 4); // unsaturated (4 of 9) and critical EXPECT_EQ(losses.at(inv[1]), 4); @@ -654,19 +1722,21 @@ TEST(Evaluators, SensitivityCandidatesSignedLossesAndUnevaluable) { // A policy model: every allowed edge of >= 1 unit; a loss can be negative (EqualBalanced over // parallel links of 1 and 10 delivers 2; without the thin link it delivers 10). auto p = shared(make_graph(2, {{0, 1, 1, 1}, {0, 1, 10, 1}, {0, 1, 0, 1}})); - const auto opts = SensitivityOptions {cfg(CostOnly {}, FlowPlacement::EqualBalanced)}; + const auto opts = SensitivityOptions {cost_only_config()}; s = sensitivity(*p, v({0}), v({1}), opts, 1); EXPECT_EQ(s.baseline.placed, 2); - ASSERT_EQ(s.entries.size(), 2U); // the zero-capacity link is absent (loss zero) + // The exact (edge, loss) list in ascending EdgeId: the zero-capacity link is absent (loss zero). const auto pin = id_of_input(*p); - for (const auto& e : s.entries) { - if (e.edge == pin[0]) EXPECT_EQ(*e.loss, -8); - if (e.edge == pin[1]) EXPECT_EQ(*e.loss, 1); - } + std::vector> got; + for (const auto& e : s.entries) got.emplace_back(e.edge, e.loss); + std::vector> want = {{pin[0], -8}, {pin[1], 1}}; + std::sort(want.begin(), want.end()); + EXPECT_EQ(got, want); // Workers give the same entries; an excluded edge is no candidate. const auto s4 = sensitivity(*p, v({0}), v({1}), opts, 4); - ASSERT_EQ(s4.entries.size(), s.entries.size()); - for (std::size_t i = 0; i < s.entries.size(); ++i) EXPECT_EQ(s4.entries[i].loss, s.entries[i].loss); + std::vector> got4; + for (const auto& e : s4.entries) got4.emplace_back(e.edge, e.loss); + EXPECT_EQ(got4, want); const auto el = p->eligibility({}, std::vector {pin[0]}); const auto se = sensitivity(*p, v({0}), v({1}), SensitivityOptions {opts.cfg, &el}, 1); ASSERT_EQ(se.entries.size(), 1U); @@ -679,27 +1749,170 @@ TEST(Evaluators, SensitivityCandidatesSignedLossesAndUnevaluable) { EXPECT_EQ(sensitivity(*p, v({0}), v({1}), SensitivityOptions {opts.cfg, nullptr, &cache}, 1).entries.size(), 2U); } -// A deletion raising a model exception is unevaluable with its message, not raised (rule 1). No -// valid configuration raises under a deletion, so the private hook injects one. -TEST(Evaluators, SensitivityReportsAModelExceptionAsUnevaluable) { -#if NETGRAPH_CORE_PRIVATE_HOOKS - auto p = shared(make_graph(2, {{0, 1, 1, 1}, {0, 1, 10, 1}, {0, 1, 0, 1}})); - const auto opts = SensitivityOptions {cfg(CostOnly {}, FlowPlacement::EqualBalanced)}; - const auto pin = id_of_input(*p); - detail::sensitivity_fail_edge().store(pin[1]); - const auto su = sensitivity(*p, v({0}), v({1}), opts, 2); - detail::sensitivity_fail_edge().store(-1); - ASSERT_EQ(su.entries.size(), 2U); - for (const auto& e : su.entries) { - if (e.edge == pin[1]) { - EXPECT_EQ(e.status, SensitivityStatus::Unevaluable); - EXPECT_FALSE(e.loss.has_value()); - EXPECT_TRUE(contains(e.reason, "injected model exception")); - } else { - EXPECT_EQ(e.status, SensitivityStatus::Evaluated); +// The baseline is capacity() with the requested outputs, in every routing model; without a +// request it carries none. +TEST(Evaluators, SensitivityBaselineIsCapacityWithTheRequestedOutputs) { + auto g = diamond(5, 3, 2); + Pinned pin; + pin.bundles = {dag_of(*g, {0, 2}), dag_of(*g, {1, 3})}; + const OutputOptions all {true, true, true}; + for (const auto& c : {global_config(), cost_only_config(), + cfg(CapacityAware {.flow_count = 2, .max_flow_count = 4}, FlowPlacement::MaxFlow), + cfg(pin, FlowPlacement::EqualBalanced)}) { + const auto s = sensitivity(*g, v({0}), v({3}), SensitivityOptions {c, nullptr, nullptr, all}, 1); + const auto want = capacity(*g, v({0}), v({3}), CapacityOptions {c, nullptr, nullptr, all}); + EXPECT_GT(want.placed, 0); + ASSERT_TRUE(want.edge_flows.has_value() && want.residual.has_value() && want.bottleneck.has_value()); + expect_same(s.baseline, want, "sensitivity baseline with every output"); + const auto plain = sensitivity(*g, v({0}), v({3}), SensitivityOptions {c}, 1); + expect_same(plain.baseline, capacity(*g, v({0}), v({3}), CapacityOptions {c}), "sensitivity baseline, no output"); + } +} + +// CostOnly re-evaluates a deletion exactly when the edge lies in the static shortest-path support +// (every edge on a shortest path to the destinations) reachable from a roster source; every other +// candidate gets loss 0 without a placement. A supplied building cache shows which deletions were +// placed: each placed deletion looks up its own fresh Eligibility uid (one miss and one entry), +// after the baseline's one. Edges 0->2, 1->2, 2->3, 2->4, 3->5, 4->5 of 10 units at cost 1: all six +// form the support toward 5. From source 0 the single path is 0->2->3->5, but 2->4 and 4->5, on no +// baseline route, are in its reachable support and are re-evaluated (loss 0); 1->2 is not and is +// skipped. From sources 0 and 1 the second source reaches 1->2 too. +TEST(Evaluators, CostOnlySensitivityReevaluatesExactlyTheReachableSupport) { + auto g = shared(make_graph(6, {{0, 2, 10, 1}, {1, 2, 10, 1}, {2, 3, 10, 1}, {2, 4, 10, 1}, {3, 5, 10, 1}, {4, 5, 10, 1}})); + const auto in = id_of_input(*g); + const auto c = cfg(CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossless, + sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, true)); + const auto losses_of = [&](const SensitivityResult& r) { + std::map out; // by input position + for (const auto& e : r.entries) { + out[static_cast(std::find(in.begin(), in.end(), e.edge) - in.begin())] = e.loss; + } + return out; + }; + DagCache one(*g); + const auto r1 = sensitivity(*g, v({0}), v({5}), SensitivityOptions {c, nullptr, &one}, 1); + EXPECT_EQ(r1.baseline.placed, 10); + EXPECT_EQ(losses_of(r1), (std::map {{0, 10}, {1, 0}, {2, 0}, {3, 0}, {4, 0}, {5, 0}})); + EXPECT_EQ(one.stats().hits, 0); + EXPECT_EQ(one.stats().misses, 1 + 5); // the baseline, then every candidate but 1->2 + EXPECT_EQ(one.stats().entries, 1 + 5); + DagCache two(*g); + const auto r2 = sensitivity(*g, v({0, 1}), v({5}), SensitivityOptions {c, nullptr, &two}, 1); + EXPECT_EQ(r2.baseline.placed, 20); + EXPECT_EQ(losses_of(r2), (std::map {{0, 10}, {1, 10}, {2, 10}, {3, 10}, {4, 10}, {5, 10}})); + EXPECT_EQ(two.stats().misses, 1 + 6); // every candidate + EXPECT_EQ(two.stats().entries, 1 + 6); +} + +// sensitivity's worker and cache rules are batch_capacity's, checked in its order before any work: +// workers >= 1, the Eligibility's graph, the cache's graph, a supplied building cache only with +// one worker; a frozen cache is shared by every worker. +TEST(Evaluators, SensitivityChecksWorkersAndCachesAsTheBatchDoes) { + auto g = diamond(5, 3); + auto other = diamond(5, 3); + const auto foreign = other->eligibility({}, std::vector {0}); + DagCache foreign_cache(*other); + DagCache building(*g); + const auto first_error = [&](const Eligibility* elig, DagCache* cache, std::int32_t workers) { + return error_of([&] { (void)sensitivity(*g, v({0}), v({3}), SensitivityOptions {global_config(), elig, cache}, workers); }); + }; + EXPECT_EQ(first_error(&foreign, &foreign_cache, 0), "workers must be >= 1 (got 0)"); + EXPECT_EQ(first_error(&foreign, &foreign_cache, 2), "foreign Eligibility: built for another graph"); + EXPECT_EQ(first_error(nullptr, &foreign_cache, 2), "foreign DagCache: bound to another graph"); + EXPECT_EQ(first_error(nullptr, &building, 2), + "a supplied building DagCache has one writer: it is rejected unless workers == 1 (got workers = 2; a " + "frozen cache may be shared by every worker)"); + EXPECT_EQ(stats_of(building.stats()), stats_of(DagCache(*g).stats())); // no lookup ran + const auto want = sensitivity(*g, v({0}), v({3}), SensitivityOptions {global_config()}, 1); + building.freeze(); + for (const std::int32_t workers : {1, 2, 4}) { + const auto r = sensitivity(*g, v({0}), v({3}), SensitivityOptions {global_config(), nullptr, &building}, workers); + ASSERT_EQ(r.entries.size(), want.entries.size()); + for (std::size_t i = 0; i < r.entries.size(); ++i) { + EXPECT_EQ(r.entries[i].edge, want.entries[i].edge); + EXPECT_EQ(r.entries[i].loss, want.entries[i].loss); + } + } +} + +// Only CostOnly reads the cache: through an empty frozen cache Global, CapacityAware and Pinned +// sensitivity give the entries of a call without a cache and count nothing; CostOnly's baseline +// raises the miss. +TEST(Evaluators, SensitivityReadsTheCacheOnlyUnderCostOnly) { + auto g = diamond(5, 3, 2); + Pinned pin; + pin.bundles = {dag_of(*g, {0, 2}), dag_of(*g, {1, 3})}; + DagCache empty(*g); + empty.freeze(); + for (const auto& c : {global_config(), cfg(CapacityAware {.flow_count = 2, .max_flow_count = 4}, FlowPlacement::MaxFlow), + cfg(pin, FlowPlacement::EqualBalanced)}) { + const auto want = sensitivity(*g, v({0}), v({3}), SensitivityOptions {c}, 1); + ASSERT_FALSE(want.entries.empty()); + for (const std::int32_t workers : {1, 3}) { + const auto r = sensitivity(*g, v({0}), v({3}), SensitivityOptions {c, nullptr, &empty}, workers); + expect_same(r.baseline, want.baseline, "through an empty frozen cache"); + ASSERT_EQ(r.entries.size(), want.entries.size()); + for (std::size_t i = 0; i < r.entries.size(); ++i) { + EXPECT_EQ(r.entries[i].edge, want.entries[i].edge); + EXPECT_EQ(r.entries[i].loss, want.entries[i].loss); + } } } + EXPECT_EQ(stats_of(empty.stats()), stats_of(DagCache(*g).stats())); + EXPECT_THROW((void)sensitivity(*g, v({0}), v({3}), SensitivityOptions {cost_only_config(), nullptr, &empty}, 1), + DagCacheMiss); + EXPECT_EQ(empty.stats().misses, 1); +} + +namespace { + +// Sets (value) or removes (nullptr) an environment variable of this process. +void set_env(const char* name, const char* value) { +#ifdef _WIN32 + (void)_putenv_s(name, value == nullptr ? "" : value); // an empty value removes it on Windows #else - GTEST_SKIP() << "needs the private hooks (NETGRAPH_CORE_PRIVATE_HOOKS)"; + if (value == nullptr) { + (void)unsetenv(name); + } else { + (void)setenv(name, value, 1); + } #endif } + +} // namespace + +// The evaluators' default worker counts (README "Environment variables", evaluator_checks.hpp): +// NGRAPH_CORE_BATCH_THREADS for batch_capacity and NGRAPH_CORE_SENSITIVITY_THREADS for +// sensitivity, each an integer in [1, 4096] read independently of the other; 1 when unset or +// invalid. " 4" reads as 4 (leading blanks are part of the integer syntax, as for strtol and +// Python's int()); trailing characters, a sign alone and values outside the range +// give 1. +TEST(Evaluators, DefaultWorkersParseTheEnvironment) { + const char* names[] = {"NGRAPH_CORE_BATCH_THREADS", "NGRAPH_CORE_SENSITIVITY_THREADS"}; + std::optional saved[2]; + for (int i = 0; i < 2; ++i) { + if (const char* x = std::getenv(names[i])) saved[i] = x; + } + struct Restore { + const char* const* names; + std::optional* saved; + ~Restore() { + for (int i = 0; i < 2; ++i) set_env(names[i], saved[i] ? saved[i]->c_str() : nullptr); + } + } restore {names, saved}; + const std::vector> cases = { + {nullptr, 1}, {"1", 1}, {"4", 4}, {"4096", 4096}, {"4097", 1}, {"0", 1}, {"-4", 1}, + {"abc", 1}, {"4x", 1}, {"4 ", 1}, {" 4", 4}, {"+", 1}, {"99999999999999999999", 1}, + }; + for (const bool sensitivity : {false, true}) { + const int self = sensitivity ? 1 : 0; + for (const auto& [value, want] : cases) { + const std::string where = + std::string(names[self]) + "=" + (value == nullptr ? "(unset)" : "'" + std::string(value) + "'"); + set_env(names[self], value); + set_env(names[1 - self], "7"); // the other variable never applies + EXPECT_EQ(detail::default_workers(sensitivity), want) << where; + EXPECT_EQ(detail::default_workers(!sensitivity), 7) << where; + } + } +} diff --git a/tests/cpp/graph_concurrency_tests.cpp b/tests/cpp/graph_concurrency_tests.cpp index ea71a71..887bc68 100644 --- a/tests/cpp/graph_concurrency_tests.cpp +++ b/tests/cpp/graph_concurrency_tests.cpp @@ -1,68 +1,42 @@ -// The graph under concurrency (APPROACH 13 threading; task 1e), run in the ThreadSanitizer suite: -// independent constructions at the same time (no shared hash or counting scratch), and full -// forward and reverse searches through both queues on one published immutable graph and on its -// copy, each thread with its own options, compared with a serial reference; every array of the -// graph is unchanged after. One batch path builds its own reverse support in its workers (no -// prepopulated frozen cache), so the reverse-source copy is read by worker threads. +// The graph under concurrency, run in the ThreadSanitizer suite: +// independent constructions at the same time (no shared hash or counting scratch; distinct uids +// from the one counter), and full forward and reverse searches through both queues on one +// published immutable graph and on its copy, each thread with its own options, compared with a +// serial reference; every array of the graph is unchanged after. One batch path builds its own +// reverse support in its workers (no prepopulated frozen cache), so the reverse-source copy is read +// by worker threads. One PredDAG and one Path are read by every thread. The tests' own threads +// start their work together once all of them run (a start latch), so the calls overlap as far as +// the scheduler allows; ThreadSanitizer reports a race between unordered accesses whether or not +// they happened to overlap in time. #include +#include +#include #include +#include +#include #include #include #include #include -#include "graph_reference_1d.hpp" -#include "netgraph/core/detail/graph_access.hpp" +#include "graph_inputs.hpp" +#include "graph_reference.hpp" +#include "netgraph/core/detail/pred_dag_builder.hpp" #include "netgraph/core/evaluators.hpp" #include "netgraph/core/graph.hpp" +#include "netgraph/core/pred_dag.hpp" #include "netgraph/core/search.hpp" +#include "test_utils.hpp" using namespace netgraph::core; using namespace netgraph::core::test; namespace { -struct Input { - std::int32_t n {0}; - std::vector src {}, dst {}; - std::vector cap {}; - std::vector cost {}; -}; - +// m random edges of 1 to 4 units (no zero capacity). Input random_input(std::int32_t n, std::size_t m, Cost max_cost, std::uint64_t seed) { - std::mt19937_64 rng(seed); - Input in {n}; - for (std::size_t i = 0; i < m; ++i) { - in.src.push_back(static_cast(rng() % static_cast(n))); - in.dst.push_back(static_cast(rng() % static_cast(n))); - in.cap.push_back(static_cast(1 + rng() % 4)); - in.cost.push_back(static_cast(1 + rng() % static_cast(max_cost))); - } - return in; -} - -// Every array of a graph, for the before/after comparison. -struct Snapshot { - std::vector capacity; - std::vector cost; - std::vector src, dst, in_col; - std::vector input_index, row_offsets, in_row_offsets; - std::vector in_adj; - bool operator==(const Snapshot&) const = default; -}; - -Snapshot snapshot(const Graph& g) { - const auto col = detail::GraphAccess::in_col_indices(g); - return {{g.capacity_units().begin(), g.capacity_units().end()}, - {g.cost().begin(), g.cost().end()}, - {g.edge_src().begin(), g.edge_src().end()}, - {g.edge_dst().begin(), g.edge_dst().end()}, - {col.begin(), col.end()}, - {g.input_index().begin(), g.input_index().end()}, - {g.row_offsets().begin(), g.row_offsets().end()}, - {g.in_row_offsets().begin(), g.in_row_offsets().end()}, - {g.in_adj_edge_index().begin(), g.in_adj_edge_index().end()}}; + return test::random_input("", n, m, max_cost, seed, 1, 4); } } // namespace @@ -74,21 +48,35 @@ TEST(GraphConcurrency, IndependentConstructionsAtTheSameTime) { // Alternate the hash path and the fallback (K > 65,536) across threads. inputs.push_back(t % 2 == 0 ? random_input(2000, 20000, 31, static_cast(t)) : random_input(4096, 70000, Cost{1} << 40, static_cast(t))); + if (t % 2 == 0) { + ASSERT_LE(distinct(inputs.back().cost), 65536) << t; + } else { + ASSERT_GT(distinct(inputs.back().cost), 65536) << t; + } } std::vector> got(kThreads), got_rev(kThreads); + std::vector uids(kThreads); std::vector threads; + std::latch start(kThreads); // the threads start together, once all of them are running for (int t = 0; t < kThreads; ++t) { threads.emplace_back([&, t] { const auto& in = inputs[static_cast(t)]; - const Graph g(in.n, in.src, in.dst, in.cap, in.cost, 1.0); + start.arrive_and_wait(); + const Graph g = build(in); got[static_cast(t)].assign(g.input_index().begin(), g.input_index().end()); got_rev[static_cast(t)].assign(g.in_adj_edge_index().begin(), g.in_adj_edge_index().end()); + uids[static_cast(t)] = g.uid(); }); } for (auto& th : threads) th.join(); + // One process-wide uid counter: the graphs of different threads never share a uid, even after + // their threads have destroyed them. + std::sort(uids.begin(), uids.end()); + EXPECT_GT(uids.front(), 0U); + EXPECT_EQ(std::adjacent_find(uids.begin(), uids.end()), uids.end()); for (int t = 0; t < kThreads; ++t) { const auto& in = inputs[static_cast(t)]; - const auto r = reference_1d(in.n, in.src, in.dst, in.cap, in.cost, 1.0); + const auto r = reference_graph(in.n, in.src, in.dst, in.cap, in.cost, 1.0); EXPECT_EQ(got[static_cast(t)], r.input_index) << t; EXPECT_EQ(got_rev[static_cast(t)], r.in_adj_edge_index) << t; } @@ -96,9 +84,9 @@ TEST(GraphConcurrency, IndependentConstructionsAtTheSameTime) { TEST(GraphConcurrency, SharedGraphSearchesBothDirectionsBothQueues) { const auto in = random_input(3000, 30000, 20, 99); - const Graph g(in.n, in.src, in.dst, in.cap, in.cost, 1.0); + const Graph g = build(in); const Graph copy(g); - const auto before = snapshot(g); + const auto before = arrays_of(g); struct Job { const Graph* graph; Direction direction; @@ -121,36 +109,134 @@ TEST(GraphConcurrency, SharedGraphSearchesBothDirectionsBothQueues) { }; std::vector serial; for (const auto& j : jobs) serial.push_back(run(j)); + // Not vacuous: every search reaches beyond its root. + for (std::size_t i = 0; i < jobs.size(); ++i) EXPECT_FALSE(serial[i].dag.via_edges().empty()) << i; std::vector> parallel(jobs.size()); std::vector threads; - for (std::size_t i = 0; i < jobs.size(); ++i) threads.emplace_back([&, i] { parallel[i] = run(jobs[i]); }); + // The searches start together, once all threads run. + std::latch start(static_cast(jobs.size())); + for (std::size_t i = 0; i < jobs.size(); ++i) { + threads.emplace_back([&, i] { + start.arrive_and_wait(); + parallel[i] = run(jobs[i]); + }); + } for (auto& th : threads) th.join(); for (std::size_t i = 0; i < jobs.size(); ++i) { ASSERT_TRUE(parallel[i].has_value()); EXPECT_EQ(parallel[i]->costs, serial[i].costs) << i; EXPECT_TRUE(parallel[i]->dag == serial[i].dag) << i; } - EXPECT_TRUE(snapshot(g) == before); - EXPECT_TRUE(snapshot(copy) == before); + EXPECT_TRUE(arrays_of(g) == before); + EXPECT_TRUE(arrays_of(copy) == before); +} + +// The immutable route values shared by threads: every thread reads every member of one PredDAG +// (its sparse storage and its ascending edge list too, through the internal read access) and of +// one Path (its DAG included) 20 times, and compares each read with the values read before the +// threads started (the DAG also with a copy taken then). ThreadSanitizer reports any write racing +// with these reads (a lazily cached member, for example). +TEST(GraphConcurrency, SharedRouteValuesAreReadByEveryThread) { + const auto in = random_input(200, 2000, 9, 7); + const Graph g = build(in); + const std::vector roots {0}; + const auto search = spf(g, roots, SpfOptions(Direction::Forward, PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity))); + const PredDAG& dag = search.dag; + const PredDAG dag_before = dag; + ASSERT_FALSE(dag.via_edges().empty()); + // A walk of single-member hops from the root: the first entry of each node, followed back. + NodeId v = static_cast(g.edge_dst()[static_cast(dag.via_edges().back())]); + std::vector> hops; + const auto offsets = dag.parent_offsets(); + while (v != 0) { + const auto k = static_cast(offsets[static_cast(v)]); + hops.insert(hops.begin(), std::vector {dag.via_edges()[k]}); + v = dag.parents()[k]; + } + ASSERT_FALSE(hops.empty()); + const Path path(g, hops); + using Builder = detail::PredDAGBuilder; + struct Read { + std::uint64_t graph_uid; + std::vector offsets; + std::vector parents; + std::vector via; + std::vector member_nodes; + std::vector member_offsets; + std::vector ascending; + std::uint64_t path_graph_uid; + std::vector> hops; + NodeId src; + NodeId dst; + Cost cost; + bool dag_equal; + bool path_dag_equal; + bool operator==(const Read&) const = default; + }; + const PredDAG path_dag = path.to_dag(); + auto read = [&] { + const auto nodes = Builder::member_nodes(dag); + const auto node_offsets = Builder::member_offsets(dag); + const auto ascending = Builder::ascending(dag); + return Read {dag.graph_uid(), + dag.parent_offsets(), + {dag.parents().begin(), dag.parents().end()}, + {dag.via_edges().begin(), dag.via_edges().end()}, + {nodes.begin(), nodes.end()}, + {node_offsets.begin(), node_offsets.end()}, + {ascending.begin(), ascending.end()}, + path.graph_uid(), + path.hops(), + path.src(), + path.dst(), + path.cost(), + dag == dag_before, + path.to_dag() == path_dag}; + }; + const Read serial = read(); + EXPECT_TRUE(serial.dag_equal && serial.path_dag_equal); + constexpr int kThreads = 8; + constexpr int kRounds = 20; + std::vector wrong(kThreads, 0); // per thread, the reads that differ from the serial one + std::latch start(kThreads); + std::vector threads; + for (int t = 0; t < kThreads; ++t) { + threads.emplace_back([&, t] { + start.arrive_and_wait(); + for (int i = 0; i < kRounds; ++i) { + if (!(read() == serial)) ++wrong[static_cast(t)]; + } + }); + } + for (auto& th : threads) th.join(); + for (int t = 0; t < kThreads; ++t) EXPECT_EQ(wrong[static_cast(t)], 0) << t; } // Workers of batch_capacity without a supplied cache each build their own reverse static support // (the CostOnly policy's DAG toward the destinations) on the shared graph. TEST(GraphConcurrency, BatchWorkersBuildTheirOwnReverseSupport) { const auto in = random_input(400, 4000, 9, 5); - const Graph g(in.n, in.src, in.dst, in.cap, in.cost, 1.0); - const auto before = snapshot(g); + const Graph g = build(in); + const auto before = arrays_of(g); std::vector, std::vector>> pairs; for (NodeId s = 0; s < 32; ++s) pairs.push_back({{s}, {static_cast(399 - s)}}); // CostOnly routing: each policy's DAG is the reverse static support toward its destination. - const CapacityOptions opts {FlowPolicyConfig(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, - PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity))}; + // Every output is requested, so the per-edge flows and the residuals are compared too. + const CapacityOptions opts {cost_only_config(), nullptr, nullptr, OutputOptions {true, true, true}}; const auto serial = batch_capacity(g, pairs, opts, {}, 1); const auto parallel = batch_capacity(g, pairs, opts, {}, 4); - ASSERT_EQ(serial.size(), parallel.size()); + ASSERT_EQ(serial.size(), pairs.size()); + ASSERT_EQ(parallel.size(), pairs.size()); + int placing = 0; for (std::size_t i = 0; i < serial.size(); ++i) { + ASSERT_TRUE(serial[i].edge_flows.has_value() && parallel[i].edge_flows.has_value()) << i; + ASSERT_TRUE(serial[i].residual.has_value() && parallel[i].residual.has_value()) << i; EXPECT_EQ(serial[i].placed, parallel[i].placed) << i; EXPECT_EQ(serial[i].edge_flows, parallel[i].edge_flows) << i; + EXPECT_EQ(serial[i].residual, parallel[i].residual) << i; + EXPECT_EQ(serial[i].bottleneck, parallel[i].bottleneck) << i; + placing += serial[i].placed > 0 ? 1 : 0; } - EXPECT_TRUE(snapshot(g) == before); + EXPECT_GT(placing, 16); // not vacuous: most pairs place something + EXPECT_TRUE(arrays_of(g) == before); } diff --git a/tests/cpp/graph_fault_tests.cpp b/tests/cpp/graph_fault_tests.cpp index c5b50d9..e98bfcc 100644 --- a/tests/cpp/graph_fault_tests.cpp +++ b/tests/cpp/graph_fault_tests.cpp @@ -1,111 +1,61 @@ -// Allocation-failure atomicity of the graph's construction and copy, and the allocation-free -// move (APPROACH 13; task 1e). Runs in the fault-injection executable (fault_injection.hpp), whose +// Allocation-failure atomicity of the graph's construction and copy, the allocation-free move, +// and the calls that build a new Eligibility, PredDAG or Path from const inputs. Runs in the +// fault-injection executable (fault_injection.hpp), whose // replacement operator new fails the chosen allocation and counts the live allocations -// (g_live, in flow_ledger_fault_tests.cpp's replacement functions). +// (g_live, in fault_injection.cpp's replacement functions). // // Every allocation of every selected construction path fails once: the constructor raises -// std::bad_alloc, the caller's input arrays are unchanged, no allocation stays live (leaks are -// counted, not left to ASan, whose leak detection is off on macOS), and a clean retry gives the -// reference arrays and passes the complete layout checker. The paths: an empty graph, isolated -// nodes, the hash path from creation through growth and collisions, the K-limit transition into -// the fallback, the fallback from the start, the probe-budget fallbacks during collection and -// during a table growth, and the copy constructor. +// std::bad_alloc and constructs nothing, no allocation stays live (leaks are counted, not left to +// ASan, whose leak detection is off on macOS), and a clean retry, like the construction without a +// failure, gives the reference arrays and passes the complete layout checker. The inputs are built for these paths +// (graph_inputs.hpp): an empty graph, isolated nodes, the hash path from creation through growth +// and collisions, the K-limit transition into the fallback, the probe-budget fallbacks during +// collection and during a table growth; and the copy constructor. Each factory call (the +// Eligibility of a graph and of an intersection, PredDAG::from_csr and parent_offsets, a Path and +// its PredDAG) fails at every allocation without building anything or leaking, and the completing +// call equals the reference. +// No branch counter is read here: graph_layout_tests.cpp observes the probe-budget paths of the +// same shapes. #include +#include #include #include +#include #include #include #include "fault_injection.hpp" -#include "graph_reference_1d.hpp" +#include "graph_inputs.hpp" +#include "graph_reference.hpp" #include "layout_checker.hpp" #include "netgraph/core/detail/graph_access.hpp" #include "netgraph/core/graph.hpp" - - +#include "netgraph/core/pred_dag.hpp" using namespace netgraph::core; using namespace netgraph::core::test; -using detail::GraphAccess; namespace { -struct Input { - std::string name; - std::int32_t n {0}; - std::vector src {}, dst {}; - std::vector cap {}; - std::vector cost {}; -}; - -Input exact_k(std::int64_t k, std::size_t extra, std::int32_t n) { - Input in {"K=" + std::to_string(k), n}; - for (std::int64_t c = 1; c <= k; ++c) in.cost.push_back(c * 5 + 2); - for (std::size_t j = 0; j < extra; ++j) in.cost.push_back(in.cost[(j * 7919) % in.cost.size()]); - for (std::size_t i = 0; i < in.cost.size(); ++i) { - in.src.push_back(static_cast((i * 31) % static_cast(n))); - in.dst.push_back(static_cast((i * 17 + 3) % static_cast(n))); - in.cap.push_back(static_cast(i % 9)); - } - return in; -} - -Input colliding(std::size_t count) { - Input in {"collisions", 8}; - for (Cost c = 1; in.cost.size() < count; ++c) { - if ((detail::cost_hash(c) & 63) == 9) in.cost.push_back(c); - } - for (std::size_t i = 0; i < in.cost.size(); ++i) { - in.src.push_back(static_cast(i % 8)); - in.dst.push_back(static_cast((i + 3) % 8)); - in.cap.push_back(1); - } - return in; -} - -// The probe-budget fallbacks (closed-form shapes of GraphLayout.ProbeBudgetFallbackInCollectionAndGrowth): -// 64 slot-zero costs plus D duplicates alternating the 63rd and 64th, optionally a 65th one. -Input budget_shape(const std::string& name, std::size_t dups, bool tail) { - std::vector z; - for (Cost c = 1; z.size() < 65; ++c) { - if ((detail::cost_hash(c) & 2047) == 0) z.push_back(c); - } - Input in {name, 7}; - std::vector c(z.begin(), z.begin() + 64); - for (std::size_t i = 0; i < dups; ++i) c.push_back(z[i % 2 == 0 ? 62 : 63]); - if (tail) c.push_back(z[64]); - for (std::size_t i = 0; i < c.size(); ++i) { - in.src.push_back(static_cast(i % 7)); - in.dst.push_back(static_cast((i * 3) % 7)); - in.cap.push_back(static_cast(i % 11)); - in.cost.push_back(c[i]); - } - return in; -} - std::vector paths() { return {Input {"empty", 0}, Input {"isolated", 64}, - exact_k(1, 10, 4), - exact_k(31, 200, 16), - exact_k(500, 100, 32), // table growths + exact_k_strided(1, 10, 4), + exact_k_strided(31, 200, 16), + exact_k_strided(500, 100, 32), // table growths colliding(40), - exact_k(65537, 50, 4096), // the K-limit transition after a full table - exact_k(70000, 0, 4096), + exact_k_strided(65537, 50, 4096), // the K-limit transition, then repeats budget_shape("budget exhausted in collection", 10000, false), budget_shape("budget exhausted in growth", 9380, true)}; } void expect_built(const Graph& g, const Input& in, const std::string& where) { - const auto r = reference_1d(in.n, in.src, in.dst, in.cap, in.cost, 1.0); + const auto r = reference_graph(in.n, in.src, in.dst, in.cap, in.cost, 1.0); EXPECT_EQ(std::vector(g.input_index().begin(), g.input_index().end()), r.input_index) << where; EXPECT_EQ(std::vector(g.in_adj_edge_index().begin(), g.in_adj_edge_index().end()), r.in_adj_edge_index) << where; - const auto bad = check_layout({g.num_nodes(), g.num_edges(), g.capacity_units(), g.cost(), g.edge_src(), g.edge_dst(), - g.input_index(), g.row_offsets(), g.in_row_offsets(), g.in_adj_edge_index(), - GraphAccess::in_col_indices(g), g.max_cost(), g.cost_gcd()}, - {in.n, in.src, in.dst, in.cap, in.cost}); + const auto bad = check_layout(spans_of(g), view(in)); EXPECT_TRUE(bad.empty()) << where << ": " << (bad.empty() ? "" : bad.front()); } @@ -113,19 +63,32 @@ void expect_built(const Graph& g, const Input& in, const std::string& where) { TEST(GraphFaults, EveryConstructionAllocationFailsCleanly) { for (const auto& in : paths()) { - const Input saved = in; long k = 0; for (;; ++k) { + std::optional g; const long live = g_live.load(); - const bool failed = fails_at(k, [&] { const Graph g(in.n, in.src, in.dst, in.cap, in.cost, 1.0); }); + const bool failed = fails_at(k, [&] { g.emplace(in.n, in.src, in.dst, in.cap, in.cost, 1.0); }); + if (!failed) { + expect_built(*g, in, in.name + " without a failure"); + // The graph holds its retained arrays and nothing else: nine with edges, the two offset + // arrays without (counted by the allocator, not by the graph's own list of its arrays). + const long held = g_live.load() - live; + EXPECT_EQ(held, in.src.empty() ? 2 : 9) << in.name << ": allocations the graph holds"; + // With edges every retained array is allocated, so the graph's own list of its arrays + // (detail::GraphAccess::retained, which the payload checks of graph_layout_tests.cpp + // read) must name every allocation it holds. + if (!in.src.empty()) { + EXPECT_EQ(static_cast(detail::GraphAccess::retained(*g).arrays), held) + << in.name << ": an array left off the list"; + } + break; + } + EXPECT_FALSE(g.has_value()) << in.name << " allocation " << k; EXPECT_EQ(g_live.load(), live) << in.name << " allocation " << k << ": a leak"; - EXPECT_TRUE(in.src == saved.src && in.dst == saved.dst && in.cap == saved.cap && in.cost == saved.cost) - << in.name << " allocation " << k << ": the input changed"; - if (!failed) break; - const Graph retry(in.n, in.src, in.dst, in.cap, in.cost, 1.0); + const Graph retry = build(in); expect_built(retry, in, in.name + " retry after allocation " + std::to_string(k)); } - // The allocation count of each path is recorded for NOTES.md (the observed list). + // The allocation count of each path is recorded as a test property. RecordProperty(in.name + " allocations", static_cast(k)); // An edgeless graph allocates its two offset arrays only; with edges, the nine retained // arrays at least. @@ -139,17 +102,31 @@ TEST(GraphFaults, EveryConstructionAllocationFailsCleanly) { TEST(GraphFaults, EveryCopyAllocationFailsCleanly) { for (const auto& in : paths()) { - const Graph g(in.n, in.src, in.dst, in.cap, in.cost, 1.0); - for (long k = 0;; ++k) { + const Graph g = build(in); + long k = 0; + for (;; ++k) { + std::optional c; const long live = g_live.load(); - const bool failed = fails_at(k, [&] { const Graph c(g); }); + const bool failed = fails_at(k, [&] { c.emplace(g); }); + if (!failed) { + expect_built(*c, in, in.name + " copy without a failure"); + EXPECT_EQ(g_live.load() - live, in.src.empty() ? 2 : 9) << in.name << ": allocations the copy holds"; + EXPECT_NE(c->uid(), g.uid()); + break; + } + EXPECT_FALSE(c.has_value()) << in.name << " allocation " << k; EXPECT_EQ(g_live.load(), live) << in.name << " allocation " << k << ": a leak"; - expect_built(g, in, in.name + " copied-from after allocation " + std::to_string(k)); - if (!failed) break; const Graph retry(g); expect_built(retry, in, in.name + " copy retry"); EXPECT_NE(retry.uid(), g.uid()); } + // k allocations failed before the copy succeeded: as in the construction sweep, the two offset + // arrays of an edgeless graph, at least the nine retained arrays with edges. + if (in.src.empty()) { + EXPECT_EQ(k, 2) << in.name; + } else { + EXPECT_GE(k, 9) << in.name; + } } } @@ -158,10 +135,10 @@ TEST(GraphFaults, EveryCopyAllocationFailsCleanly) { // which the parent reports as a failure (death-test subprocess, so the suite survives). TEST(GraphFaults, MoveIsAllocationFreeUnderAnArmedFailure) { GTEST_FLAG_SET(death_test_style, "threadsafe"); - const auto in = exact_k(31, 200, 16); + const auto in = exact_k_strided(31, 200, 16); EXPECT_EXIT( { - Graph g(in.n, in.src, in.dst, in.cap, in.cost, 1.0); + Graph g = build(in); const auto uid = g.uid(); const auto edges = g.num_edges(); const long live = g_live.load(); @@ -176,3 +153,84 @@ TEST(GraphFaults, MoveIsAllocationFreeUnderAnArmedFailure) { }, ::testing::ExitedWithCode(0), ""); } + +namespace { + +// Every allocation of make() fails once: nothing is built and nothing stays allocated; the +// completing call equals the reference (the first call, which also sizes any per-thread scratch). +template +void sweep_factory(const std::string& name, Make make, Same same) { + const T want = make(); + long k = 0; + for (;; ++k) { + std::optional got; + const long live = g_live.load(); + if (!fails_at(k, [&] { got.emplace(make()); })) { + ASSERT_TRUE(got.has_value()) << name; + EXPECT_TRUE(same(*got, want)) << name; + break; + } + EXPECT_FALSE(got.has_value()) << name << " allocation " << k; + EXPECT_EQ(g_live.load(), live) << name << " allocation " << k << ": a leak"; + } + EXPECT_GT(k, 0) << name; // not vacuous: every factory allocates +} + +} // namespace + +TEST(GraphFaults, EveryFactoryAllocationFailsWithoutALeak) { + // 0 -> 1 -> 2 -> 3 with a parallel pair 1 -> 2 and a bypass 0 -> 3. + const std::vector src = {0, 1, 1, 2, 0}; + const std::vector dst = {1, 2, 2, 3, 3}; + const std::vector cap = {5, 5, 3, 5, 1}; + const std::vector cost = {1, 1, 2, 1, 9}; + const Graph g(4, src, dst, cap, cost, 1.0); + const auto edge = [&](NodeId u, NodeId v, Cost c) { + for (EdgeId e = 0; e < g.num_edges(); ++e) { + const auto i = static_cast(e); + if (g.edge_src()[i] == u && g.edge_dst()[i] == v && g.cost()[i] == c) return e; + } + ADD_FAILURE() << "no edge " << u << " -> " << v; + return EdgeId {0}; + }; + const EdgeId bypass[] = {edge(0, 3, 9)}; + const EdgeId costly[] = {edge(1, 2, 2)}; + const NodeId none[] = {0}; + const auto same_elig = [](const Eligibility& a, const Eligibility& b) { + return std::ranges::equal(a.node_allowed(), b.node_allowed()) && std::ranges::equal(a.edge_allowed(), b.edge_allowed()); + }; + // Controls: an isolated node changes only the node flags; an edge changes only edge flags. + const auto isolated = make_graph(3, {{0, 1, 1, 1}}); + const auto all = isolated.eligibility(); + EXPECT_TRUE(same_elig(all, all)); + EXPECT_FALSE(same_elig(all, isolated.eligibility(std::vector {2}, {}))); + EXPECT_FALSE(same_elig(all, isolated.eligibility({}, std::vector {0}))); + sweep_factory("Graph::eligibility", [&] { return g.eligibility(none, bypass); }, same_elig); + const Eligibility no_bypass = g.eligibility({}, bypass); + const Eligibility no_costly = g.eligibility({}, costly); + sweep_factory("Eligibility::intersect", [&] { return Eligibility::intersect(no_bypass, no_costly); }, + same_elig); + const std::vector> hops = {{edge(0, 1, 1)}, {edge(1, 2, 1), edge(1, 2, 2)}, {edge(2, 3, 1)}}; + const auto same = [](const auto& a, const auto& b) { return a == b; }; + sweep_factory("Path", [&] { return Path(g, hops); }, same); + const Path path(g, hops); + sweep_factory("Path::to_dag", [&] { return path.to_dag(); }, same); + const PredDAG dag = path.to_dag(); + sweep_factory>("PredDAG::parent_offsets", [&] { return dag.parent_offsets(); }, same); + const auto offsets = dag.parent_offsets(); + sweep_factory("PredDAG::from_csr", [&] { return PredDAG::from_csr(g, offsets, dag.parents(), dag.via_edges()); }, + same); +} + +TEST(GraphFaults, ConstructionComparisonRejectsDifferentInputs) { + const Input in {"comparison", 4, {0, 1, 0, 2}, {1, 3, 2, 3}, {2, 3, 4, 5}, {2, 4, 6, 8}}; + const auto g = build(in); + EXPECT_EQ(failures_of([&] { expect_built(g, in, "same"); }), 0); + for (int kind = 0; kind < 3; ++kind) { + auto bad = in; + if (kind == 0) std::swap(bad.cost[0], bad.cost[2]); + if (kind == 1) bad.dst[3] = 0; + if (kind == 2) ++bad.cap.back(); + EXPECT_GT(failures_of([&] { expect_built(g, bad, "different"); }), 0) << kind; + } +} diff --git a/tests/cpp/graph_inputs.hpp b/tests/cpp/graph_inputs.hpp new file mode 100644 index 0000000..cb1f3bd --- /dev/null +++ b/tests/cpp/graph_inputs.hpp @@ -0,0 +1,166 @@ +// The graph inputs of the three graph test files (graph_layout_tests.cpp, graph_fault_tests.cpp, +// graph_concurrency_tests.cpp): one input in input coordinates, its graph and its view for the +// layout checker, its count of distinct costs, and its generators. Each generator +// is deterministic (seeded or closed-form), so a test file and its readers see the same inputs on +// every run. random_input draws general inputs; each other generator is built for the construction +// path named at it (hash table, growths, collisions, the K-limit and probe-budget fallbacks). The +// branch counters of graph_layout_tests.cpp (hooks builds) are read on exact_k's boundary inputs, +// budget_shape's clusters, a colliding_costs sequence that grows the table, and random_input's +// inputs (whether the fused path ran). +#pragma once + +#include +#include +#include +#include +#include +#include +#include + +#include "layout_checker.hpp" +#include "netgraph/core/detail/graph_access.hpp" +#include "netgraph/core/graph.hpp" + +namespace netgraph::core::test { + +// A graph input as the constructor takes it. +struct Input { + std::string name; + std::int32_t n {0}; + std::vector src {}, dst {}; + std::vector cap {}; + std::vector cost {}; + double q {1.0}; +}; + +// The graph of an input, at its resolution. +inline Graph build(const Input& in) { return Graph(in.n, in.src, in.dst, in.cap, in.cost, in.q); } + +// An input and a graph's stored layout as the layout checker reads them. +inline LayoutInput view(const Input& in) { return {in.n, in.src, in.dst, in.cap, in.cost}; } +inline LayoutSpans spans_of(const Graph& g) { + return {g.num_nodes(), g.num_edges(), g.capacity_units(), g.cost(), g.edge_src(), g.edge_dst(), g.input_index(), + g.row_offsets(), g.in_row_offsets(), g.in_adj_edge_index(), detail::GraphAccess::in_col_indices(g), + g.max_cost(), g.cost_gcd()}; +} + +// The number of distinct costs of an input (K), which decides its construction path. +inline std::int64_t distinct(std::vector c) { + std::sort(c.begin(), c.end()); + return std::unique(c.begin(), c.end()) - c.begin(); +} + +// A copy of every stored array of a graph and of its two cost values: the before/after comparison +// of graph_concurrency_tests.cpp, and the copy that the layout checker's corruption controls edit +// (graph_layout_tests.cpp). +struct GraphArrays { + std::vector capacity; + std::vector cost; + std::vector src, dst; + std::vector input_index, row_offsets, in_row_offsets; + std::vector in_adj; + std::vector in_col; + Cost max_cost {0}, cost_gcd {0}; + bool operator==(const GraphArrays&) const = default; +}; + +inline GraphArrays arrays_of(const Graph& g) { + const auto col = detail::GraphAccess::in_col_indices(g); + return {{g.capacity_units().begin(), g.capacity_units().end()}, + {g.cost().begin(), g.cost().end()}, + {g.edge_src().begin(), g.edge_src().end()}, + {g.edge_dst().begin(), g.edge_dst().end()}, + {g.input_index().begin(), g.input_index().end()}, + {g.row_offsets().begin(), g.row_offsets().end()}, + {g.in_row_offsets().begin(), g.in_row_offsets().end()}, + {g.in_adj_edge_index().begin(), g.in_adj_edge_index().end()}, + {col.begin(), col.end()}, + g.max_cost(), + g.cost_gcd()}; +} + +// m random edges over n nodes, costs 1..max_cost, capacities cap_low .. cap_low + cap_span - 1. +inline Input random_input(std::string name, std::int32_t n, std::size_t m, Cost max_cost, std::uint64_t seed, + Amount cap_low = 0, Amount cap_span = 5) { + std::mt19937_64 rng(seed); + Input in {std::move(name), n}; + for (std::size_t i = 0; i < m; ++i) { + in.src.push_back(static_cast(rng() % static_cast(n))); + in.dst.push_back(static_cast(rng() % static_cast(n))); + in.cap.push_back(cap_low + static_cast(rng() % static_cast(cap_span))); + in.cost.push_back(static_cast(1 + rng() % static_cast(max_cost))); + } + return in; +} + +// Exactly k distinct costs (3 c + 1), each present, plus `extra` repeats, shuffled by the seed; +// distinct capacities 1, 2, ... +inline Input exact_k(std::int64_t k, std::size_t extra, std::int32_t n, std::uint64_t seed) { + std::mt19937_64 rng(seed); + Input in {"K=" + std::to_string(k), n}; + for (std::int64_t c = 1; c <= k; ++c) in.cost.push_back(3 * c + 1); + for (std::size_t j = 0; j < extra; ++j) in.cost.push_back(in.cost[rng() % in.cost.size()]); + std::shuffle(in.cost.begin(), in.cost.end(), rng); + for (std::size_t i = 0; i < in.cost.size(); ++i) { + in.src.push_back(static_cast(rng() % static_cast(n))); + in.dst.push_back(static_cast(rng() % static_cast(n))); + in.cap.push_back(static_cast(1 + i)); + } + return in; +} + +// Exactly k distinct costs (c * 5 + 2) in ascending order of first appearance, plus `extra` +// repeats, by closed-form strides without a generator; capacities 0 to 8 (zero included). +inline Input exact_k_strided(std::int64_t k, std::size_t extra, std::int32_t n) { + Input in {"K=" + std::to_string(k), n}; + for (std::int64_t c = 1; c <= k; ++c) in.cost.push_back(c * 5 + 2); + for (std::size_t j = 0; j < extra; ++j) in.cost.push_back(in.cost[(j * 7919) % in.cost.size()]); + for (std::size_t i = 0; i < in.cost.size(); ++i) { + in.src.push_back(static_cast((i * 31) % static_cast(n))); + in.dst.push_back(static_cast((i * 17 + 3) % static_cast(n))); + in.cap.push_back(static_cast(i % 9)); + } + return in; +} + +// The first `count` costs whose construction hash has `residue` under `mask` (they share a table +// slot under that mask). +inline std::vector colliding_costs(std::uint64_t mask, std::size_t count, std::uint64_t residue = 5) { + std::vector out; + for (Cost c = 1; out.size() < count; ++c) { + if ((detail::cost_hash(c) & mask) == residue) out.push_back(c); + } + return out; +} + +// `count` edges over 8 nodes whose costs collide in the initial 64-slot table. +inline Input colliding(std::size_t count) { + Input in {"collisions", 8}; + in.cost = colliding_costs(63, count, 9); + for (std::size_t i = 0; i < in.cost.size(); ++i) { + in.src.push_back(static_cast(i % 8)); + in.dst.push_back(static_cast((i + 3) % 8)); + in.cap.push_back(1); + } + return in; +} + +// The probe-budget shapes (GraphLayout.ProbeBudgetFallbackInCollectionAndGrowth): the 64 first +// costs whose hash has 11 low zero bits (one cluster at slot 0 in every table up to 2,048 slots), +// then `dups` duplicates alternating the 63rd and 64th, optionally a 65th cluster cost at the end. +inline Input budget_shape(const std::string& name, std::size_t dups, bool tail) { + const std::vector z = colliding_costs(2047, 65, 0); + Input in {name, 7}; + std::vector c(z.begin(), z.begin() + 64); + for (std::size_t i = 0; i < dups; ++i) c.push_back(z[i % 2 == 0 ? 62 : 63]); + if (tail) c.push_back(z[64]); + for (std::size_t i = 0; i < c.size(); ++i) { + in.src.push_back(static_cast(i % 7)); + in.dst.push_back(static_cast((i * 3) % 7)); + in.cap.push_back(static_cast(i % 11)); + in.cost.push_back(c[i]); + } + return in; +} + +} // namespace netgraph::core::test diff --git a/tests/cpp/graph_layout_tests.cpp b/tests/cpp/graph_layout_tests.cpp index 53ac375..95de8f2 100644 --- a/tests/cpp/graph_layout_tests.cpp +++ b/tests/cpp/graph_layout_tests.cpp @@ -1,8 +1,7 @@ -// Layout B' storage and construction (APPROACH 3; task 1e): the independent layout checker on -// every graph, its corruption controls, the differential test against the pinned 1d constructor -// (every array, every error), the hash/fallback boundary, copies and moves, and the retained -// array payload. The manifest instance 22@1e.storage names 13 obligations; each test below names -// the one it covers ("manifest N"). +// The graph's stored layout and construction: the independent layout checker on every graph, its +// corruption controls, the differential test against the pinned earlier constructor +// (graph_reference.hpp; every array, every error), the hash/fallback boundary, copies and +// moves, and the retained array payload. #include #include @@ -12,13 +11,15 @@ #include #include #include +#include #include #include #include #include #include -#include "graph_reference_1d.hpp" +#include "graph_inputs.hpp" +#include "graph_reference.hpp" #include "layout_checker.hpp" #include "netgraph/core/dag_cache.hpp" #include "netgraph/core/detail/graph_access.hpp" @@ -34,34 +35,10 @@ using detail::GraphAccess; namespace { -constexpr Amount L62 = Amount{1} << 62; - -struct Input { - std::string name; - std::int32_t n {0}; - std::vector src {}, dst {}; - std::vector cap {}; - std::vector cost {}; - double q {1.0}; -}; - -LayoutInput view(const Input& in) { return {in.n, in.src, in.dst, in.cap, in.cost}; } - -LayoutSpans spans_of(const Graph& g) { - return {g.num_nodes(), g.num_edges(), g.capacity_units(), g.cost(), g.edge_src(), g.edge_dst(), g.input_index(), - g.row_offsets(), g.in_row_offsets(), g.in_adj_edge_index(), GraphAccess::in_col_indices(g), g.max_cost(), - g.cost_gcd()}; -} - -template -std::vector vec(std::span s) { - return {s.begin(), s.end()}; -} - // Every public array, its element width, the counts, the resolution and the scans equal the // reference's; the internal copy equals the reference's edge_src[in_adj_edge_index[slot]]. void expect_same_as_reference(const Graph& g, const Input& in) { - const auto r = reference_1d(in.n, in.src, in.dst, in.cap, in.cost, in.q); + const auto r = reference_graph(in.n, in.src, in.dst, in.cap, in.cost, in.q); static_assert(sizeof(decltype(g.capacity_units())::element_type) == 8); static_assert(sizeof(decltype(g.cost())::element_type) == 8); static_assert(sizeof(decltype(g.edge_src())::element_type) == 4); @@ -85,27 +62,8 @@ void expect_same_as_reference(const Graph& g, const Input& in) { EXPECT_TRUE(bad.empty()) << in.name << ": " << (bad.empty() ? "" : bad.front()); } -Graph build(const Input& in) { return Graph(in.n, in.src, in.dst, in.cap, in.cost, in.q); } - -std::int64_t distinct(std::vector c) { - std::sort(c.begin(), c.end()); - return std::unique(c.begin(), c.end()) - c.begin(); -} - // --------------------------------------------------------------------------- generators -Input random_input(std::string name, std::int32_t n, std::size_t m, Cost max_cost, std::uint64_t seed) { - std::mt19937_64 rng(seed); - Input in {std::move(name), n}; - for (std::size_t i = 0; i < m; ++i) { - in.src.push_back(static_cast(rng() % static_cast(n))); - in.dst.push_back(static_cast(rng() % static_cast(n))); - in.cap.push_back(static_cast(rng() % 5)); // zero capacities included - in.cost.push_back(static_cast(1 + rng() % static_cast(max_cost))); - } - return in; -} - Input permuted(const Input& in, const std::vector& p, const std::string& suffix) { Input out {in.name + suffix, in.n, {}, {}, {}, {}, in.q}; for (std::size_t i : p) { @@ -117,40 +75,16 @@ Input permuted(const Input& in, const std::vector& p, const std::st return out; } -// The same edges in B' order, reversed and shuffled (all property arrays permuted together). +// The same edges in EdgeId order, reversed and shuffled (all property arrays permuted together). std::vector orders(const Input& in, std::uint64_t seed) { - const auto r = reference_1d(in.n, in.src, in.dst, in.cap, in.cost, in.q); + const auto r = reference_graph(in.n, in.src, in.dst, in.cap, in.cost, in.q); std::vector sorted(r.input_index.begin(), r.input_index.end()); std::vector rev(in.src.size()); std::iota(rev.rbegin(), rev.rend(), 0); std::vector sh(in.src.size()); std::iota(sh.begin(), sh.end(), 0); std::shuffle(sh.begin(), sh.end(), std::mt19937_64(seed)); - return {in, permuted(in, sorted, " (B' order)"), permuted(in, rev, " (reversed)"), permuted(in, sh, " (shuffled)")}; -} - -// Exactly k distinct costs, each present, plus `extra` repeats; distinct capacities. -Input exact_k(std::int64_t k, std::size_t extra, std::int32_t n, std::uint64_t seed, Cost stride = 3) { - std::mt19937_64 rng(seed); - Input in {"K=" + std::to_string(k), n}; - for (std::int64_t c = 1; c <= k; ++c) in.cost.push_back(c * stride + 1); - for (std::size_t j = 0; j < extra; ++j) in.cost.push_back(in.cost[rng() % in.cost.size()]); - std::shuffle(in.cost.begin(), in.cost.end(), rng); - for (std::size_t i = 0; i < in.cost.size(); ++i) { - in.src.push_back(static_cast(rng() % static_cast(n))); - in.dst.push_back(static_cast(rng() % static_cast(n))); - in.cap.push_back(static_cast(1 + i)); - } - return in; -} - -// Costs that share a table slot under the given mask of the construction's hash. -std::vector colliding_costs(std::uint64_t mask, std::size_t count) { - std::vector out; - for (Cost c = 1; out.size() < count; ++c) { - if ((detail::cost_hash(c) & mask) == 5) out.push_back(c); - } - return out; + return {in, permuted(in, sorted, " (EdgeId order)"), permuted(in, rev, " (reversed)"), permuted(in, sh, " (shuffled)")}; } } // namespace @@ -203,6 +137,7 @@ TEST(GraphLayout, DifferentialDistinctCostCounts) { expect_same_as_reference(build(all), all); } +// Exact units above 2^53 (capacities and costs kept as int64, not through double). TEST(GraphLayout, DifferentialWideIntegers) { // Costs and units above 2^53, sums just below 2^62; separate from the large-K cases (the cost // sum bound forbids combining them). @@ -210,14 +145,22 @@ TEST(GraphLayout, DifferentialWideIntegers) { Input wide {"wide costs", 3, {0, 0, 1, 2, 0}, {1, 1, 2, 0, 1}, {(Amount{1} << 53) + 1, Amount{1} << 61, 0, 5, 3}, {big + 3, big + 1, big + 2, 1, big + 1}}; expect_same_as_reference(build(wide), wide); - Input sums {"sums just below 2^62", 2, {0, 0}, {1, 1}, {L62 / 2, L62 / 2 - 1}, {L62 / 2, L62 / 2 - 1}}; + Input sums {"sums just below 2^62", 2, {0, 0}, {1, 1}, {kL62 / 2, kL62 / 2 - 1}, {kL62 / 2, kL62 / 2 - 1}}; expect_same_as_reference(build(sums), sums); Input units {"units above 2^53", 2, {0, 1}, {1, 0}, {(Amount{1} << 53) + 1, (Amount{1} << 53) + 3}, {1, 1}}; expect_same_as_reference(build(units), units); + // Just above 2^53 (no double holds 2^53 + 1), both arrays; EdgeId 0 is the cheaper 0 -> 1. + const Amount above = (Amount{1} << 53) + 1; + const Input both {"2^53 + 1", 2, {0, 0, 1}, {1, 1, 0}, {above, above + 2, 0}, {(Cost{1} << 53) + 1, (Cost{1} << 53) + 3, 1}}; + const Graph g = build(both); + expect_same_as_reference(g, both); + EXPECT_EQ(g.capacity_units()[0], above); + EXPECT_EQ(g.cost()[0], (Cost{1} << 53) + 1); } TEST(GraphLayout, DifferentialHashCollisions) { - // Costs colliding in the initial table (64 slots) and in the full one (2^18 slots at load 1/4). + // 40 costs colliding in the initial 64-slot table (their low 6 hash bits equal), and 40 sharing + // their low 18 hash bits, so they collide in every table these inputs reach. for (std::uint64_t mask : {std::uint64_t {63}, (std::uint64_t {1} << 18) - 1}) { Input in {"collisions mask " + std::to_string(mask), 16}; in.cost = colliding_costs(mask, 40); @@ -245,14 +188,14 @@ std::pair outcome(F&& fn) { return {"", ""}; } -// The defects of APPROACH 3's validation steps, each applied to a copy of a valid input. +// The defects of the constructor's validation steps, each applied to a copy of a valid input. using Defect = std::function; std::vector> defects() { return { {"resolution", [](Input& x) { x.q = 3.0; }}, {"capacity negative at 2", [](Input& x) { x.cap[2] = -1; }}, - {"capacity 2^62 at 1", [](Input& x) { x.cap[1] = L62; }}, + {"capacity 2^62 at 1", [](Input& x) { x.cap[1] = kL62; }}, {"num_nodes negative", [](Input& x) { x.n = -1; }}, {"dst shorter", [](Input& x) { x.dst.pop_back(); }}, {"cost longer", [](Input& x) { x.cost.push_back(1); }}, @@ -260,8 +203,14 @@ std::vector> defects() { {"cost negative at 1", [](Input& x) { x.cost[1] = -4; }}, {"src out of range at 2", [](Input& x) { x.src[2] = x.n; }}, {"dst negative at 1", [](Input& x) { x.dst[1] = -1; }}, - {"capacity sum", [](Input& x) { x.cap[0] = L62 / 2, x.cap[3] = L62 / 2; }}, - {"cost sum", [](Input& x) { x.cost[1] = L62 / 2, x.cost[2] = L62 / 2; }}, + {"capacity sum", [](Input& x) { + x.cap[0] = kL62 / 2; + x.cap[3] = kL62 / 2; + }}, + {"cost sum", [](Input& x) { + x.cost[1] = kL62 / 2; + x.cost[2] = kL62 / 2; + }}, }; } @@ -270,38 +219,40 @@ std::vector> defects() { TEST(GraphLayout, DifferentialErrorsSingleAndPairwise) { const Input base {"base", 4, {0, 1, 2, 3, 0}, {1, 2, 3, 0, 2}, {1, 2, 3, 4, 5}, {1, 2, 3, 4, 5}}; const auto ds = defects(); - std::size_t checked = 0; for (std::size_t a = 0; a < ds.size(); ++a) { for (std::size_t b = a; b < ds.size(); ++b) { Input in = base; ds[a].second(in); if (b != a) ds[b].second(in); const auto got = outcome([&] { (void)build(in); }); - const auto want = outcome([&] { (void)reference_1d(in.n, in.src, in.dst, in.cap, in.cost, in.q); }); + const auto want = outcome([&] { (void)reference_graph(in.n, in.src, in.dst, in.cap, in.cost, in.q); }); ASSERT_FALSE(want.first.empty()) << ds[a].first << " + " << ds[b].first; EXPECT_EQ(got, want) << ds[a].first << " + " << ds[b].first; - ++checked; } } - EXPECT_EQ(checked, ds.size() * (ds.size() + 1) / 2); } TEST(GraphLayout, DifferentialErrorsFirstInvalidIndexAndSumOrder) { // Two defects of one kind: the lower input index is named. Input in {"two costs", 3, {0, 1, 2, 0}, {1, 2, 0, 2}, {1, 1, 1, 1}, {1, -2, 0, 1}}; auto got = outcome([&] { (void)build(in); }); - EXPECT_EQ(got, outcome([&] { (void)reference_1d(in.n, in.src, in.dst, in.cap, in.cost, in.q); })); + EXPECT_EQ(got, outcome([&] { (void)reference_graph(in.n, in.src, in.dst, in.cap, in.cost, in.q); })); EXPECT_NE(got.second.find("cost[1] = -2"), std::string::npos) << got.second; // Capacity and cost sums both over: the one whose running sum crosses first, in input order. - Input both {"sums", 2, {0, 0, 0}, {1, 1, 1}, {1, L62 / 2, L62 / 2}, {L62 / 2, L62 / 2, 1}}; + Input both {"sums", 2, {0, 0, 0}, {1, 1, 1}, {1, kL62 / 2, kL62 / 2}, {kL62 / 2, kL62 / 2, 1}}; got = outcome([&] { (void)build(both); }); - EXPECT_EQ(got, outcome([&] { (void)reference_1d(both.n, both.src, both.dst, both.cap, both.cost, both.q); })); + EXPECT_EQ(got, outcome([&] { (void)reference_graph(both.n, both.src, both.dst, both.cap, both.cost, both.q); })); EXPECT_NE(got.second.find("edge costs"), std::string::npos) << got.second; + // Both running sums reach 2^62 at the same edge: the capacity sum is reported. + Input tie {"sums at one edge", 2, {0, 0}, {1, 1}, {kL62 / 2, kL62 / 2}, {kL62 / 2, kL62 / 2}}; + got = outcome([&] { (void)build(tie); }); + EXPECT_EQ(got, outcome([&] { (void)reference_graph(tie.n, tie.src, tie.dst, tie.cap, tie.cost, tie.q); })); + EXPECT_NE(got.second.find("sum of all capacities"), std::string::npos) << got.second; } -// --------------------------------------------------------------------------- manifest obligations +// --------------------------------------------------------------------------- the layout checker -// manifest 1-8: the corruption controls of the checker, on a graph built by the constructor. +// The corruption controls of the checker, on a graph built by the constructor. // The fixture repeats (src, cost, dst) keys with distinct capacities and input positions, and its // reverse slot order differs from its id order, with different source values. TEST(GraphLayout, CheckerRejectsEveryCorruption) { @@ -309,18 +260,8 @@ TEST(GraphLayout, CheckerRejectsEveryCorruption) { {2, 1, 2, 1, 2, 1, 4, 4}}; const Graph g = build(in); ASSERT_TRUE(check_layout(spans_of(g), view(in)).empty()); - struct Copy { - std::vector capacity; - std::vector cost; - std::vector src, dst; - std::vector input_index, row_offsets, in_row_offsets; - std::vector in_adj; - std::vector in_col; - Cost max_cost, cost_gcd; - }; - const Copy clean {vec(g.capacity_units()), vec(g.cost()), vec(g.edge_src()), vec(g.edge_dst()), vec(g.input_index()), - vec(g.row_offsets()), vec(g.in_row_offsets()), vec(g.in_adj_edge_index()), - vec(GraphAccess::in_col_indices(g)), g.max_cost(), g.cost_gcd()}; + using Copy = GraphArrays; + const Copy clean = arrays_of(g); bool reverse_differs = false; for (std::size_t s = 0; s < clean.in_adj.size(); ++s) reverse_differs |= clean.in_adj[s] != static_cast(s); ASSERT_TRUE(reverse_differs); @@ -331,15 +272,15 @@ TEST(GraphLayout, CheckerRejectsEveryCorruption) { view(in)); }; const std::vector>> controls = { - // manifest 1: wrong source or row boundary - {"wrong source", "forward:membership", [](Copy& c) { c.src[0] = 1, c.input_index[0] = c.input_index[0]; }}, + // Wrong source or row boundary + {"wrong source", "forward:membership", [](Copy& c) { c.src[0] = 1; }}, {"row boundary moved", "forward:membership", [](Copy& c) { ++c.row_offsets[1]; }}, - // manifest 2: all-zero offsets (a graph with edges) + // All-zero offsets (a graph with edges) {"all-zero offsets", "row_offsets:end", [](Copy& c) { std::fill(c.row_offsets.begin(), c.row_offsets.end(), 0); }}, - // manifest 3: missing or duplicated reverse coverage + // Missing or duplicated reverse coverage {"duplicated reverse slot", "slot:permutation", [](Copy& c) { c.in_adj[1] = c.in_adj[0]; }}, {"wrong reverse destination", "reverse:membership", [](Copy& c) { ++c.in_row_offsets[1]; }}, - // manifest 4: (src, cost) substituted for (cost, src) + // (src, cost) substituted for (cost, src) {"(src, cost) reverse order", "reverse:order", [](Copy& c) { for (std::size_t v = 0; v + 1 < c.in_row_offsets.size(); ++v) { @@ -351,7 +292,7 @@ TEST(GraphLayout, CheckerRejectsEveryCorruption) { } for (std::size_t s = 0; s < c.in_col.size(); ++s) c.in_col[s] = c.src[static_cast(c.in_adj[s])]; }}, - // manifest 5: unstable equal-key members + // Unstable equal-key members {"unstable equal keys", "forward:order", [](Copy& c) { for (std::size_t e = 0; e + 1 < c.cost.size(); ++e) { @@ -363,16 +304,17 @@ TEST(GraphLayout, CheckerRejectsEveryCorruption) { } FAIL() << "the fixture has no equal-key pair"; }}, - // manifest 6: corrupted map + // Corrupted map {"map entries swapped", "property:capacity", [](Copy& c) { std::swap(c.input_index[0], c.input_index[1]); }}, - // manifest 7: property-only mispermutation + // Property-only mispermutation {"capacities swapped", "property:capacity", [](Copy& c) { std::swap(c.capacity[1], c.capacity[2]); }}, - // manifest 8: out-of-range map or slot before access + // Out-of-range map or slot before access {"negative map entry", "map:permutation", [](Copy& c) { c.input_index[1] = -3; }}, + {"duplicated map entry", "map:permutation", [](Copy& c) { c.input_index[1] = c.input_index[0]; }}, {"map entry E", "map:permutation", [](Copy& c) { c.input_index[1] = static_cast(c.input_index.size()); }}, {"slot out of range", "slot:permutation", [](Copy& c) { c.in_adj[2] = 1 << 30; }}, {"negative slot", "slot:permutation", [](Copy& c) { c.in_adj[2] = -1; }}, - // the brief's additional controls + // Additional size, offset and copied-source corruption controls. {"truncated capacity", "size:capacity", [](Copy& c) { c.capacity.pop_back(); }}, {"oversized slots", "size:in_adj_edge_index", [](Copy& c) { c.in_adj.push_back(0); }}, {"truncated offsets", "size:in_row_offsets", [](Copy& c) { c.in_row_offsets.pop_back(); }}, @@ -387,6 +329,28 @@ TEST(GraphLayout, CheckerRejectsEveryCorruption) { {"copied source out of range", "range:in_col_indices", [](Copy& c) { c.in_col[0] = 4; }}, {"changed maximum", "scan:max_cost", [](Copy& c) { ++c.max_cost; }}, {"changed GCD", "scan:cost_gcd", [](Copy& c) { c.cost_gcd = 2; }}, + // Every other code: each array's size, each offset rule of both offset arrays, the endpoint + // ranges and each permuted property. + {"truncated costs", "size:cost", [](Copy& c) { c.cost.pop_back(); }}, + {"truncated sources", "size:src", [](Copy& c) { c.src.pop_back(); }}, + {"truncated destinations", "size:dst", [](Copy& c) { c.dst.pop_back(); }}, + {"truncated map", "size:input_index", [](Copy& c) { c.input_index.pop_back(); }}, + {"truncated row offsets", "size:row_offsets", [](Copy& c) { c.row_offsets.pop_back(); }}, + {"row offsets start at 1", "row_offsets:start", [](Copy& c) { c.row_offsets[0] = 1; }}, + {"reverse offsets start at 1", "in_row_offsets:start", [](Copy& c) { c.in_row_offsets[0] = 1; }}, + {"reverse offsets end early", "in_row_offsets:end", [](Copy& c) { --c.in_row_offsets.back(); }}, + {"row offsets decrease", "row_offsets:monotone", [](Copy& c) { c.row_offsets[1] = c.row_offsets[2] + 1; }}, + {"reverse offsets decrease", "in_row_offsets:monotone", + [](Copy& c) { c.in_row_offsets[2] = c.in_row_offsets[1] - 1; }}, + {"source out of range", "range:src", [](Copy& c) { c.src[0] = 4; }}, + {"negative destination", "range:dst", [](Copy& c) { c.dst[0] = -1; }}, + // Two different values exchanged (the first one and the first that differs from it). + {"costs swapped", "property:cost", + [](Copy& c) { std::swap(c.cost[0], *std::find_if(c.cost.begin(), c.cost.end(), [&](Cost x) { return x != c.cost[0]; })); }}, + {"sources swapped", "property:src", + [](Copy& c) { std::swap(c.src[0], *std::find_if(c.src.begin(), c.src.end(), [&](NodeId x) { return x != c.src[0]; })); }}, + {"destinations swapped", "property:dst", + [](Copy& c) { std::swap(c.dst[0], *std::find_if(c.dst.begin(), c.dst.end(), [&](NodeId x) { return x != c.dst[0]; })); }}, }; for (const auto& [name, code, corrupt] : controls) { Copy c = clean; @@ -394,6 +358,26 @@ TEST(GraphLayout, CheckerRejectsEveryCorruption) { const auto bad = check(c); EXPECT_NE(std::find(bad.begin(), bad.end(), code), bad.end()) << name << ": expected " << code; } + // The counts and the caller's arrays: the node and edge counts, and each input array's size. + auto spans = spans_of(g); + ++spans.num_nodes; + EXPECT_EQ(check_layout(spans, view(in)), std::vector {"size:num_nodes"}); + spans = spans_of(g); + ++spans.num_edges; + EXPECT_EQ(check_layout(spans, view(in)), std::vector {"size:num_edges"}); + // A negative node count fails even when the caller claims the same count. + spans = spans_of(g); + spans.num_nodes = -1; + auto negative_input = view(in); + negative_input.num_nodes = -1; + EXPECT_EQ(check_layout(spans, negative_input), std::vector {"size:num_nodes"}); + for (const std::string name : {"input.dst", "input.capacity", "input.cost"}) { + auto short_input = view(in); + if (name == "input.dst") short_input.dst = short_input.dst.first(short_input.dst.size() - 1); + if (name == "input.capacity") short_input.capacity = short_input.capacity.first(short_input.capacity.size() - 1); + if (name == "input.cost") short_input.cost = short_input.cost.first(short_input.cost.size() - 1); + EXPECT_EQ(check_layout(spans_of(g), short_input), std::vector {"size:" + name}); + } // Empty graphs are positive controls: all-zero offsets are correct without edges. for (std::int32_t n : {0, 1, 1000}) { const Input e {"empty", n}; @@ -401,13 +385,15 @@ TEST(GraphLayout, CheckerRejectsEveryCorruption) { } } -// manifest 9: hash and fallback boundary at 65,536 distinct costs (the branch observation), on -// inputs that do not exhaust the probe budget. +// The hash and fallback boundary at 65,536 distinct costs (the branch observation), on +// inputs that do not exhaust the probe budget. In this test and the five after it, the arrays are +// compared with the reference in every build; only the branch counters need the private hooks, and +// without them the test reports itself skipped after the comparisons have passed. TEST(GraphLayout, HashAndFallbackBoundaryAt65536DistinctCosts) { -#if NETGRAPH_CORE_PRIVATE_HOOKS for (const auto& [k, hashed] : std::vector> {{65535, true}, {65536, true}, {65537, false}}) { const auto in = exact_k(k, 1000, 4096, static_cast(k)); ASSERT_EQ(distinct(in.cost), k); +#if NETGRAPH_CORE_PRIVATE_HOOKS auto& counts = detail::thread_construction_counts(); const auto before = counts; const Graph g = build(in); @@ -422,18 +408,20 @@ TEST(GraphLayout, HashAndFallbackBoundaryAt65536DistinctCosts) { EXPECT_LE(counts.last_table_slots, std::int64_t {1} << 18); // load <= 1/4 at K = 65,536 EXPECT_GE(counts.last_table_slots, 4 * k); } +#else + const Graph g = build(in); +#endif expect_same_as_reference(g, in); } -#else +#if !NETGRAPH_CORE_PRIVATE_HOOKS GTEST_SKIP() << "branch observations need the private hooks"; #endif } -// Proposal P4: with N K < E the passes run on combined keys; N K = E must take the five single-key -// passes. Both give the reference arrays, in every input order, and the random differential -// inputs reach both branches. +// The combined-key boundary: with N K < E the passes run on combined +// keys; N K = E must take the five single-key passes. Both give the reference arrays, in every +// input order, and the random differential inputs reach both branches. TEST(GraphLayout, CombinedKeyPassesOnlyBelowNTimesKEqualsE) { -#if NETGRAPH_CORE_PRIVATE_HOOKS auto shaped = [](std::int32_t n, std::int64_t k, std::size_t e, std::uint64_t seed) { std::mt19937_64 rng(seed); Input in {"N=" + std::to_string(n) + " K=" + std::to_string(k) + " E=" + std::to_string(e), n}; @@ -451,14 +439,19 @@ TEST(GraphLayout, CombinedKeyPassesOnlyBelowNTimesKEqualsE) { for (const auto& [e, fused] : std::vector> {{nk + 1, true}, {nk, false}}) { for (const auto& in : orders(shaped(n, k, e, nk + e), e)) { ASSERT_EQ(distinct(in.cost), k) << in.name; +#if NETGRAPH_CORE_PRIVATE_HOOKS auto& counts = detail::thread_construction_counts(); const auto before = counts.fused; const Graph g = build(in); EXPECT_EQ(counts.fused - before, fused ? 1 : 0) << in.name; +#else + const Graph g = build(in); +#endif expect_same_as_reference(g, in); } } } +#if NETGRAPH_CORE_PRIVATE_HOOKS std::int64_t fused = 0, plain = 0; for (std::uint64_t seed = 1; seed <= 200; ++seed) { const auto in = random_input("seed " + std::to_string(seed), 1 + static_cast(seed % 37), @@ -474,13 +467,12 @@ TEST(GraphLayout, CombinedKeyPassesOnlyBelowNTimesKEqualsE) { #endif } -// The fallback's 16-bit digits (review-1e-consult/REPORT-2): N = 2, two copies of [1, ..., 65,536, +// The fallback's 16-bit digits: N = 2, two copies of [1, ..., 65,536, // 2^59] (K = 65,537, E = 131,074 = N K: the single-key passes; the cost sum is below 2^62), then -// one more cost of 1 (E = N K + 1: P4). Both take the distinct-limit fallback (observed); by the +// one more cost of 1 (E = N K + 1: the combined keys). Both take the distinct-limit fallback (observed); by the // costs' values its radix sorts on the digits at 0, 16 and 48 bits and skips the one at 32 (one // digit value), with arrays equal to the reference in four input orders. -TEST(GraphLayout, RadixFallbackDigitsOnBothSidesOfP4) { -#if NETGRAPH_CORE_PRIVATE_HOOKS +TEST(GraphLayout, RadixFallbackDigitsOnBothSidesOfTheCombinedKeyBoundary) { Input base {"two copies of 1..65,536 and 2^59", 2}; for (int copy = 0; copy < 2; ++copy) { for (Cost c = 1; c <= 65536; ++c) base.cost.push_back(c); @@ -500,6 +492,7 @@ TEST(GraphLayout, RadixFallbackDigitsOnBothSidesOfP4) { for (const auto& [x, fused] : std::vector> {{&base, false}, {&plus, true}}) { ASSERT_EQ(distinct(x->cost), 65537); for (const auto& in : orders(*x, x->cost.size())) { +#if NETGRAPH_CORE_PRIVATE_HOOKS auto& counts = detail::thread_construction_counts(); const auto before = counts; const Graph g = build(in); @@ -507,10 +500,13 @@ TEST(GraphLayout, RadixFallbackDigitsOnBothSidesOfP4) { EXPECT_EQ(counts.fallback - before.fallback, 1) << in.name; EXPECT_EQ(counts.fused - before.fused, fused ? 1 : 0) << in.name; EXPECT_EQ(counts.last_distinct, 65537) << in.name; +#else + const Graph g = build(in); +#endif expect_same_as_reference(g, in); } } -#else +#if !NETGRAPH_CORE_PRIVATE_HOOKS GTEST_SKIP() << "branch observations need the private hooks"; #endif } @@ -518,7 +514,6 @@ TEST(GraphLayout, RadixFallbackDigitsOnBothSidesOfP4) { // A run of equal costs reuses the previous ordinal without a lookup: one cost repeated costs // exactly one probe; two alternating costs in different slots cost one probe per edge. TEST(GraphLayout, RunsOfEqualCostsSkipTheLookup) { -#if NETGRAPH_CORE_PRIVATE_HOOKS Cost a = 1, b = 2; while ((detail::cost_hash(a) & 63) == (detail::cost_hash(b) & 63)) ++b; for (const bool alternate : {false, true}) { @@ -530,43 +525,105 @@ TEST(GraphLayout, RunsOfEqualCostsSkipTheLookup) { in.cost.push_back(alternate && i % 2 == 1 ? b : a); } const Graph g = build(in); +#if NETGRAPH_CORE_PRIVATE_HOOKS EXPECT_EQ(detail::thread_construction_counts().last_probes, alternate ? 1000 : 1) << in.name; +#endif expect_same_as_reference(g, in); } -#else +#if !NETGRAPH_CORE_PRIVATE_HOOKS GTEST_SKIP() << "branch observations need the private hooks"; #endif } -// The cumulative probe budget B = 8E + 8 x 65,536 (APPROACH 3 revision 43). Costs whose hash has +namespace { + +enum class BudgetOutcome { Hashed, Collection, Growth }; + +struct ProbeCount { + BudgetOutcome outcome {BudgetOutcome::Hashed}; + std::int64_t probes {0}; // every examined slot: exactly the budget when it ran out + std::vector after; // the probes after each hashed edge, in input order + std::size_t distinct {0}; // the distinct costs inserted + std::size_t slots {64}; // the table's size +}; + +// The probe accounting of the cost hashing, modelled from its definition rather than from the +// constructor: linear probing from 64 slots, every examined slot counted against the budget; a +// cost equal to the previous one reuses its ordinal without a lookup; before a new cost would +// raise the load above 1/4, the table doubles, the distinct costs are reinserted in +// first-appearance order and the new cost is looked up again. A probe beyond the budget stops the +// hashing, inside an input lookup (Collection) or inside a growth, its reinsertion or the repeated +// lookup (Growth). Without a budget every cost is hashed. +ProbeCount count_probes(std::span cost, std::optional budget) { + ProbeCount out; + std::vector table(64, 0); + std::vector order; + auto locate = [&](Cost c) -> std::optional { + for (std::size_t at = detail::cost_hash(c) & (table.size() - 1);; at = (at + 1) & (table.size() - 1)) { + if (budget.has_value() && out.probes == *budget) return std::nullopt; + ++out.probes; + if (table[at] == 0 || table[at] == c) return at; + } + }; + Cost prev = 0; + for (const Cost c : cost) { + if (c != prev) { + auto at = locate(c); + if (!at) { + out.outcome = BudgetOutcome::Collection; + return out; + } + if (table[*at] == 0) { + if (4 * (order.size() + 1) > table.size()) { + table.assign(2 * table.size(), 0); + for (const Cost d : order) { + const auto slot = locate(d); + if (!slot) { + out.outcome = BudgetOutcome::Growth; + return out; + } + table[*slot] = d; + } + at = locate(c); + if (!at) { + out.outcome = BudgetOutcome::Growth; + return out; + } + } + table[*at] = c; + order.push_back(c); + } + prev = c; + } + out.after.push_back(out.probes); + } + out.distinct = order.size(); + out.slots = table.size(); + return out; +} + +// The construction's budget B = 8E + 8 x 65,536 for E edges. +std::int64_t probe_budget(std::size_t edges) { return 8 * static_cast(edges) + 8 * 65536; } + +BudgetOutcome budget_outcome(std::span cost) { return count_probes(cost, probe_budget(cost.size())).outcome; } + +} // namespace + +// The cumulative probe budget B = 8E + 8 x 65,536 over the whole construction. Costs whose hash has // 11 low zero bits start at slot 0 in every table up to 2,048 slots, so they form one cluster: // the j-th of them (from 0) is found after j + 1 probes. After the 64 cluster costs come D // duplicates alternating z[62], z[63] (a run of one cost reuses its ordinal without a lookup, so // the duplicates must alternate), each costing 63 or 64 probes while B grows by 8 per edge. The -// boundaries come from an exact model of the probe accounting (build/1e/prep/budget_model.py): +// boundaries are those of budget_outcome above (a model of the probe accounting, independent +// of the constructor), which every case checks first: // * collection: exhausted at an input lookup exactly when D >= 9,406; // * growth: with a 65th cluster cost at the end (its lookup, then the reinsertion into 512 // slots, then the lookup repeated), exhausted inside the growth for 9,366 <= D <= 9,404, not at // all for D <= 9,365, and at the 65th cost's first lookup (collection) for D = 9,405. // Exhausted constructions use exactly B probes and none more; the arrays equal the reference. TEST(GraphLayout, ProbeBudgetFallbackInCollectionAndGrowth) { -#if NETGRAPH_CORE_PRIVATE_HOOKS - std::vector z; - for (Cost c = 1; z.size() < 65; ++c) { - if ((detail::cost_hash(c) & 2047) == 0) z.push_back(c); - } - auto shape = [&](std::size_t dups, bool tail) { - Input in {"cluster D=" + std::to_string(dups) + (tail ? " + 65th" : ""), 7}; - std::vector c(z.begin(), z.begin() + 64); - for (std::size_t i = 0; i < dups; ++i) c.push_back(z[i % 2 == 0 ? 62 : 63]); - if (tail) c.push_back(z[64]); - for (std::size_t i = 0; i < c.size(); ++i) { - in.src.push_back(static_cast(i % 7)); - in.dst.push_back(static_cast((i * 3) % 7)); - in.cap.push_back(static_cast(i % 11)); - in.cost.push_back(c[i]); - } - return in; + auto shape = [](std::size_t dups, bool tail) { + return budget_shape("cluster D=" + std::to_string(dups) + (tail ? " + 65th" : ""), dups, tail); }; enum Where { None, Collection, Growth }; const std::vector> cases = { @@ -577,10 +634,13 @@ TEST(GraphLayout, ProbeBudgetFallbackInCollectionAndGrowth) { for (const auto& [dups, tail, where] : cases) { const auto in = shape(dups, tail); + const BudgetOutcome modelled[] = {BudgetOutcome::Hashed, BudgetOutcome::Collection, BudgetOutcome::Growth}; + EXPECT_EQ(budget_outcome(in.cost), modelled[where]) << in.name; +#if NETGRAPH_CORE_PRIVATE_HOOKS auto& counts = detail::thread_construction_counts(); const auto before = counts; const Graph g = build(in); - const std::int64_t budget = 8 * static_cast(in.src.size()) + 8 * 65536; + const std::int64_t budget = probe_budget(in.src.size()); EXPECT_EQ(counts.last_budget, budget) << in.name; EXPECT_LE(counts.last_probes, budget) << in.name; // no lookup examines more than B in total EXPECT_EQ(counts.exhausted_collection - before.exhausted_collection, where == Collection ? 1 : 0) << in.name; @@ -588,63 +648,46 @@ TEST(GraphLayout, ProbeBudgetFallbackInCollectionAndGrowth) { EXPECT_EQ(counts.fallback - before.fallback, where == None ? 0 : 1) << in.name; EXPECT_EQ(counts.hashed - before.hashed, where == None ? 1 : 0) << in.name; if (where != None) EXPECT_EQ(counts.last_probes, budget) << in.name; +#else + const Graph g = build(in); +#endif expect_same_as_reference(g, in); } -#else +#if !NETGRAPH_CORE_PRIVATE_HOOKS GTEST_SKIP() << "branch observations need the private hooks"; #endif } -// The budget stays cumulative across the large table's growths (review-1e): 64 costs share their +// The budget stays cumulative across the large table's growths: 64 costs share their // low 18 hash bits, so they collide in every table up to 262,144 slots; further costs grow the -// table to K = 32,769; then the last two colliding costs alternate. An independent count (linear -// probing, every examined slot counted, a growth reinserting the distinct costs in first-appearance -// order) finds the first edge count whose probes exceed B: the collection exhausts the budget -// there, and one edge fewer stays hashed with exactly the counted probes. +// table to K = 32,769; then the last two colliding costs alternate. The probe model above +// (count_probes, independent of the constructor) finds the first edge count whose probes exceed +// B: the collection exhausts the budget there, and one edge fewer stays hashed with exactly the +// counted probes. TEST(GraphLayout, ProbeBudgetIsCumulativeAcrossTheLargeTableGrowths) { -#if NETGRAPH_CORE_PRIVATE_HOOKS - std::vector z; - for (Cost c = 1; z.size() < 64; ++c) { - if ((detail::cost_hash(c) & 262143) == 0) z.push_back(c); - } + const std::vector z = colliding_costs(262143, 64, 0); std::vector seq = z; for (Cost c = 1; seq.size() < 32769; ++c) { if (!std::binary_search(z.begin(), z.end(), c)) seq.push_back(c); } - std::vector table(64, 0); - std::vector order; - std::int64_t probes = 0; - auto locate = [&](Cost c) { - for (std::size_t at = detail::cost_hash(c) & (table.size() - 1);; at = (at + 1) & (table.size() - 1)) { - ++probes; - if (table[at] == 0 || table[at] == c) return at; - } - }; - for (const Cost c : seq) { - std::size_t at = locate(c); - if (table[at] != 0) continue; - if (4 * (order.size() + 1) > table.size()) { - table.assign(2 * table.size(), 0); - for (const Cost d : order) table[locate(d)] = d; - at = locate(c); - } - table[at] = c; - order.push_back(c); + const std::size_t distinct_end = seq.size(); + for (std::size_t d = 0; d < 20000; ++d) seq.push_back(z[d % 2 == 0 ? 62 : 63]); + const ProbeCount unbounded = count_probes(seq, std::nullopt); + ASSERT_EQ(unbounded.distinct, 32769U); + ASSERT_EQ(unbounded.slots, 262144U); + std::size_t first = 0; // the first edge count whose probes exceed its own budget + for (std::size_t e = 1; e <= seq.size() && first == 0; ++e) { + if (unbounded.after[e - 1] > probe_budget(e)) first = e; } - ASSERT_EQ(order.size(), 32769U); - ASSERT_EQ(table.size(), 262144U); - std::int64_t prefix_probes = 0; // all probes of the longest prefix within its budget - for (std::size_t d = 0;; ++d) { - ASSERT_LT(d, 100000U); - const std::int64_t before = probes; - seq.push_back(z[d % 2 == 0 ? 62 : 63]); - locate(seq.back()); - if (probes > 8 * static_cast(seq.size()) + 8 * 65536) { - prefix_probes = before; - break; - } - } - EXPECT_EQ(seq.size(), 44436U); // the review's independent count (review-1e/probe.log) + ASSERT_GT(first, distinct_end); // inside the alternation + seq.resize(first); + const std::int64_t prefix_probes = unbounded.after[first - 2]; // all probes of one edge fewer + // The same model run with each length's budget stops there and not one edge earlier. + EXPECT_EQ(count_probes(seq, probe_budget(first)).outcome, BudgetOutcome::Collection); + const ProbeCount shorter = count_probes(std::span(seq).first(first - 1), probe_budget(first - 1)); + EXPECT_EQ(shorter.outcome, BudgetOutcome::Hashed); + EXPECT_EQ(shorter.probes, prefix_probes); + EXPECT_EQ(seq.size(), 44436U); // the count of the probe model auto input = [&](std::size_t e) { Input in {"late growth E=" + std::to_string(e), 31}; @@ -656,50 +699,52 @@ TEST(GraphLayout, ProbeBudgetIsCumulativeAcrossTheLargeTableGrowths) { } return in; }; - auto& counts = detail::thread_construction_counts(); for (const std::size_t e : {seq.size() - 1, seq.size()}) { - const bool exhausts = e == seq.size(); const auto in = input(e); +#if NETGRAPH_CORE_PRIVATE_HOOKS + const bool exhausts = e == seq.size(); + auto& counts = detail::thread_construction_counts(); const auto before = counts; const Graph g = build(in); - const std::int64_t budget = 8 * static_cast(e) + 8 * 65536; + const std::int64_t budget = probe_budget(e); EXPECT_EQ(counts.last_budget, budget) << in.name; EXPECT_EQ(counts.last_probes, exhausts ? budget : prefix_probes) << in.name; EXPECT_EQ(counts.exhausted_collection - before.exhausted_collection, exhausts ? 1 : 0) << in.name; EXPECT_EQ(counts.exhausted_growth - before.exhausted_growth, 0) << in.name; EXPECT_EQ(counts.hashed - before.hashed, exhausts ? 0 : 1) << in.name; if (!exhausts) EXPECT_EQ(counts.last_distinct, 32769) << in.name; +#else + (void)prefix_probes; + const Graph g = build(in); +#endif expect_same_as_reference(g, in); } -#else +#if !NETGRAPH_CORE_PRIVATE_HOOKS GTEST_SKIP() << "branch observations need the private hooks"; #endif } -// manifest 10: exact units above 2^53 (capacities and costs kept as int64, not through double). -TEST(GraphLayout, ExactUnitsAboveTwo53) { - const Amount big = (Amount{1} << 53) + 1; - const Input in {"2^53 + 1", 2, {0, 0, 1}, {1, 1, 0}, {big, big + 2, 0}, {(Cost{1} << 53) + 1, (Cost{1} << 53) + 3, 1}}; - const Graph g = build(in); - expect_same_as_reference(g, in); - EXPECT_EQ(g.capacity_units()[0], big); - EXPECT_EQ(g.cost()[0], (Cost{1} << 53) + 1); -} - -// manifest 11: a copy keeps every array and the map and draws a new uid. +// A copy keeps every array, the map and the resolution (one input at a resolution other than 1) +// and draws a new uid. TEST(GraphLayout, CopyKeepsEveryArrayAndDrawsANewUid) { - for (const auto& in : {exact_k(31, 500, 64, 1), exact_k(65537, 10, 512, 2), Input {"empty", 5}}) { + Input fine = exact_k(31, 500, 64, 6); + fine.name += " at 2^-12"; + fine.q = std::ldexp(1.0, -12); + for (const auto& in : {exact_k(31, 500, 64, 1), exact_k(65537, 10, 512, 2), Input {"empty", 5}, fine}) { const Graph g = build(in); + EXPECT_GT(g.uid(), 0U); // a constructed graph's uid is positive (0 marks a moved-from one) const Graph c(g); EXPECT_NE(c.uid(), g.uid()); EXPECT_GT(c.uid(), g.uid()); // a relation, not an absolute counter value expect_same_as_reference(c, in); EXPECT_EQ(GraphAccess::retained(c).size_bytes, GraphAccess::retained(g).size_bytes); + // A second construction of the same input is a new graph too. + EXPECT_NE(build(in).uid(), g.uid()); } } -// The move (P1, review-1e-consult): every value and the uid transferred without allocation -// (the fault executable's witness); the source keeps its resolution, has uid, N, E, maximum and +// The move: every value and the uid transferred without allocation +// (GraphFaults.MoveIsAllocationFreeUnderAnArmedFailure checks that none is made); the source keeps its resolution, has uid, N, E, maximum and // GCD zero, empty edge arrays and one zero in each offset view. Copying and moving an already // moved-from graph give the same state. TEST(GraphLayout, MoveTransfersEverythingAndLeavesAnEmptyGraph) { @@ -739,8 +784,11 @@ TEST(GraphLayout, MoveTransfersEverythingAndLeavesAnEmptyGraph) { // NOLINTEND(bugprone-use-after-move) } -// The retained array payload: 36 E + 8 (N + 1) bytes in exactly nine arrays, capacities equal to -// sizes (no slack, no retained scratch, no inverse map, no physical-capacity array). +// The retained array payload: 36 E + 8 (N + 1) bytes, capacities equal to sizes (no slack, no +// retained scratch, no inverse map, no physical-capacity array). The sizes come from the graph's +// own list of its arrays (GraphAccess::retained), whose length is fixed by that list's code and +// so not compared here; that the list is complete, nine arrays and no other allocation held, is +// GraphFaults' count of the allocations a graph holds. TEST(GraphLayout, RetainedPayloadIs36BytesPerEdgePlusOffsets) { std::vector cases = {Input {"N=0", 0}, Input {"isolated", 1000}, exact_k(31, 4000, 512, 4), exact_k(65537, 100, 4096, 5)}; @@ -753,32 +801,23 @@ TEST(GraphLayout, RetainedPayloadIs36BytesPerEdgePlusOffsets) { const std::size_t want = 36 * e + 8 * (static_cast(in.n) + 1); for (const Graph* x : {&g, &c, &m}) { const auto r = GraphAccess::retained(*x); - EXPECT_EQ(r.arrays, 9u) << in.name; EXPECT_EQ(r.size_bytes, want) << in.name; EXPECT_EQ(r.capacity_bytes, want) << in.name; } } } -// Manifest 12: graph-bound objects from another graph are rejected at their existing use sites, -// on a twin graph with identical arrays (only the uid differs, so the check is by identity, not by -// shape): the evaluators' Eligibility and DagCache checks, and a Path's DAG (to_dag keeps the -// Path's graph) in resolve_to_paths. The flow core, ledger, policy, KSP, search and cache sites -// have their own tests (NOTES section 7, item 3). +// Graph-bound objects from another graph are rejected at their existing use sites, on a twin +// graph with identical arrays (only the uid differs, so the check is by identity, not by shape): +// the evaluators' Eligibility and DagCache checks, and a Path's DAG (to_dag keeps the Path's +// graph) in resolve_to_paths. The flow core, ledger, policy, KSP, search and cache sites have +// their own tests. TEST(GraphLayout, ForeignGraphBoundObjectsAreRejectedAtTheirUseSites) { const std::vector src {0, 0, 1, 2}, dst {1, 2, 3, 3}; const std::vector cap {5, 5, 5, 5}; const std::vector cost {1, 1, 1, 1}; const Graph g(4, src, dst, cap, cost, 1.0), twin(4, src, dst, cap, cost, 1.0); ASSERT_NE(g.uid(), twin.uid()); - const auto message = [](const std::function& f) { - try { - f(); - } catch (const std::invalid_argument& e) { - return std::string(e.what()); - } - return std::string("no std::invalid_argument"); - }; const std::vector s {0}, d {3}; const FlowPolicyConfig cfg {CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossless, PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)}; @@ -786,15 +825,33 @@ TEST(GraphLayout, ForeignGraphBoundObjectsAreRejectedAtTheirUseSites) { DagCache cache(twin); const std::string elig_msg = "foreign Eligibility: built for another graph"; const std::string cache_msg = "foreign DagCache: bound to another graph"; - EXPECT_EQ(message([&] { (void)capacity(g, s, d, CapacityOptions {cfg, &el}); }), elig_msg); - EXPECT_EQ(message([&] { (void)capacity(g, s, d, CapacityOptions {cfg, nullptr, &cache}); }), cache_msg); + EXPECT_EQ(error_of([&] { (void)capacity(g, s, d, CapacityOptions {cfg, &el}); }), elig_msg); + EXPECT_EQ(error_of([&] { (void)capacity(g, s, d, CapacityOptions {cfg, nullptr, &cache}); }), cache_msg); const std::vector, std::vector>> pairs {{s, d}}; - EXPECT_EQ(message([&] { (void)batch_capacity(g, pairs, CapacityOptions {cfg, nullptr, &cache}, {}, 1); }), cache_msg); - EXPECT_EQ(message([&] { (void)sensitivity(g, s, d, SensitivityOptions {cfg, &el}, 1); }), elig_msg); - EXPECT_EQ(message([&] { (void)sensitivity(g, s, d, SensitivityOptions {cfg, nullptr, &cache}, 1); }), cache_msg); + EXPECT_EQ(error_of([&] { (void)batch_capacity(g, pairs, CapacityOptions {cfg, nullptr, &cache}, {}, 1); }), cache_msg); + EXPECT_EQ(error_of([&] { (void)sensitivity(g, s, d, SensitivityOptions {cfg, &el}, 1); }), elig_msg); + EXPECT_EQ(error_of([&] { (void)sensitivity(g, s, d, SensitivityOptions {cfg, nullptr, &cache}, 1); }), cache_msg); const Path p(twin, {{0}, {2}}); - EXPECT_EQ(message([&] { (void)resolve_to_paths(g, p.to_dag(), 0, 3); }), "foreign PredDAG: built for another graph"); + EXPECT_EQ(error_of([&] { (void)resolve_to_paths(g, p.to_dag(), 0, 3); }), "foreign PredDAG: built for another graph"); // The same calls on the owning graph succeed (the controls). EXPECT_NO_THROW((void)capacity(twin, s, d, CapacityOptions {cfg, &el, &cache})); EXPECT_EQ(resolve_to_paths(twin, p.to_dag(), 0, 3).size(), 1U); } + +TEST(GraphLayout, ReferenceComparisonRejectsDifferentInputs) { + const Input in {"comparison", 4, {0, 1, 0, 2}, {1, 3, 2, 3}, {2, 3, 4, 5}, {2, 4, 6, 8}}; + const auto g = build(in); + EXPECT_EQ(failures_of([&] { expect_same_as_reference(g, in); }), 0); + const std::vector> changes = { + [](auto& x) { ++x.n; }, [](auto& x) { x.q = 2; }, + [](auto& x) { ++x.cap.back(); }, [](auto& x) { x.cost.back() = 9; }, + [](auto& x) { x.src.back() = 1; }, [](auto& x) { x.dst.back() = 0; }, + [](auto& x) { x.src.push_back(3); x.dst.push_back(0); x.cap.push_back(1); x.cost.push_back(1); }, + [](auto& x) { std::swap(x.cost[0], x.cost[2]); }, + }; + for (std::size_t i = 0; i < changes.size(); ++i) { + auto different = in; + changes[i](different); + EXPECT_GT(failures_of([&] { expect_same_as_reference(g, different); }), 0) << i; + } +} diff --git a/tests/cpp/graph_reference_1d.hpp b/tests/cpp/graph_reference.hpp similarity index 89% rename from tests/cpp/graph_reference_1d.hpp rename to tests/cpp/graph_reference.hpp index c506e39..dde4ac4 100644 --- a/tests/cpp/graph_reference_1d.hpp +++ b/tests/cpp/graph_reference.hpp @@ -1,9 +1,10 @@ -// The 1d graph constructor kept as a test-only reference (task 1e, differential tests). +// An earlier graph constructor kept as a test-only reference for the differential tests. // -// Origin, pinned: src/graph.cpp of commit 3e1f3ea6e (sha256 c9af7b06c48a741fbac33d40283c50c2 -// 6763dcda7a5e7acf4be0195bf896ab68), the function Graph::Graph(num_nodes, src, dst, -// capacity_units, cost, resolution) at lines 91-222 and resolution_exponent at lines 42-53. -// The statements are copied unchanged; only the members became fields of Reference1d and the +// Origin: the earlier src/graph.cpp, identified by its sha256 c9af7b06c48a741fbac33d40283c50c2 +// 6763dcda7a5e7acf4be0195bf896ab68, the function Graph::Graph(num_nodes, src, dst, +// capacity_units, cost, resolution) at lines 91-222 and resolution_exponent at lines 42-53. This +// file is self-contained: nothing here needs that source. +// The statements are copied unchanged; only the members became fields of ReferenceGraph and the // uid is not drawn. Do not edit this file to follow a later constructor: it is the fixed point // the new construction is compared with (every array, every error type and message). #pragma once @@ -22,8 +23,8 @@ namespace netgraph::core::test { -// The 1d graph's state, member for member (graph.hpp at 3e1f3ea6e, without the uid). -struct Reference1d { +// The reference graph's state, member for member (graph.hpp at 3e1f3ea6e, without the uid). +struct ReferenceGraph { double resolution {1.0}; std::int32_t num_nodes {0}; Cost max_cost {0}; @@ -38,7 +39,7 @@ struct Reference1d { std::vector in_adj_edge_index; }; -namespace reference_1d_detail { +namespace reference_graph_detail { inline int resolution_exponent(double q) { if (!std::isfinite(q) || q <= 0.0) { @@ -53,16 +54,16 @@ inline int resolution_exponent(double q) { return k; } -} // namespace reference_1d_detail +} // namespace reference_graph_detail -inline Reference1d reference_1d(std::int32_t num_nodes, +inline ReferenceGraph reference_graph(std::int32_t num_nodes, std::span src, std::span dst, std::span capacity_units, std::span cost, double resolution) { - Reference1d r; - (void)reference_1d_detail::resolution_exponent(resolution); + ReferenceGraph r; + (void)reference_graph_detail::resolution_exponent(resolution); // The unit values. for (std::size_t i = 0; i < capacity_units.size(); ++i) { const Amount c = capacity_units[i]; @@ -85,7 +86,7 @@ inline Reference1d reference_1d(std::int32_t num_nodes, if (m > static_cast(std::numeric_limits::max())) { throw std::invalid_argument("the number of edges exceeds INT32_MAX (array length)"); } - // Zero or negative costs (rule 28). + // Zero or negative costs. Cost max_cost = 0; Cost cost_gcd = 0; for (std::size_t i = 0; i < m; ++i) { @@ -189,9 +190,9 @@ inline Reference1d reference_1d(std::int32_t num_nodes, return r; } -// The internal reverse-source column the 1e graph stores, derived from the reference (1d has no +// The internal reverse-source column the current graph stores, derived from the reference (it has no // stored copy): edge_src[in_adj_edge_index[slot]]. -inline std::vector reference_in_col_indices(const Reference1d& r) { +inline std::vector reference_in_col_indices(const ReferenceGraph& r) { std::vector out(r.in_adj_edge_index.size()); for (std::size_t s = 0; s < out.size(); ++s) out[s] = r.src[static_cast(r.in_adj_edge_index[s])]; return out; diff --git a/tests/cpp/graph_tests.cpp b/tests/cpp/graph_tests.cpp index 3bc9712..07ed0a2 100644 --- a/tests/cpp/graph_tests.cpp +++ b/tests/cpp/graph_tests.cpp @@ -1,13 +1,15 @@ -// The graph on integer units (APPROACH 2.1, 3): construction, validation order, layout B' -// ids, the reverse CSR, input_index, to_units and as_float. +// The graph on integer units: construction, validation order, the EdgeId order +// (src, cost, dst, input), the reverse CSR, input_index, to_units and as_float. #include #include #include #include +#include #include #include #include +#include #include #include "netgraph/core/graph.hpp" @@ -18,30 +20,17 @@ using namespace netgraph::core::test; namespace { -constexpr Amount L62 = Amount{1} << 62; - -// The message of the std::invalid_argument thrown by `fn`, or "" when nothing is thrown. -template -std::string error_of(F&& fn) { - try { - fn(); - } catch (const std::invalid_argument& e) { - return e.what(); - } - return ""; -} - +// A Graph of these arrays (resolution 1 unless given). Graph build(std::int32_t n, std::vector src, std::vector dst, std::vector cap, std::vector cost, double q = 1.0) { return Graph(n, src, dst, cap, cost, q); } -bool contains(const std::string& s, const std::string& part) { return s.find(part) != std::string::npos; } - } // namespace -TEST(Graph, BPrimeOrderInputIndexAndReverseCsr) { - // (u, v, cap, cost) in input order; prototype fixture graph_bprime_order. +TEST(Graph, EdgeIdOrderInputIndexAndReverseCsr) { + // (u, v, cap, cost) in input order. EdgeIds rank edges by source, then cost, then destination, + // then input position. const std::vector edges = {{2, 0, 5, 3}, {0, 2, 4, 2}, {0, 1, 3, 2}, {1, 2, 2, 1}, {0, 1, 1, 2}, {0, 2, 6, 1}, {2, 1, 7, 1}}; auto g = make_graph(3, edges); @@ -64,17 +53,15 @@ TEST(Graph, BPrimeOrderInputIndexAndReverseCsr) { EXPECT_EQ(g.capacity_units()[e], in.cap); EXPECT_EQ(g.cost()[e], in.cost); } - // The out-edges of u are the id range of its row, in (cost, dst, input) order. + // Row u's id range holds u's out-edges (their (cost, dst, input) order within the row is the + // input_index checked above). for (NodeId u = 0; u < 3; ++u) { for (auto e = g.row_offsets()[u]; e < g.row_offsets()[u + 1]; ++e) { EXPECT_EQ(g.edge_src()[static_cast(e)], u); } } - // input_index round trip through the caller's inverse. - const auto inv = id_of_input(g); - for (std::size_t i = 0; i < edges.size(); ++i) { - EXPECT_EQ(g.input_index()[static_cast(inv[i])], static_cast(i)); - } + // The inverse map from input positions to EdgeIds, derived by hand from the order above. + EXPECT_EQ(id_of_input(g), (std::vector {6, 3, 1, 4, 2, 0, 5})); std::vector caps_in; for (const auto& e : edges) caps_in.push_back(e.cap); EXPECT_EQ(to_input(g, g.capacity_units()), caps_in); @@ -105,7 +92,7 @@ TEST(Graph, EqualKeysKeepInputOrder) { } TEST(Graph, ReverseOrderIsCostThenSource) { - // A scan in id order would give (src, cost, input); the contract is (cost, src, input). + // A scan in id order would give (src, cost, input); the reverse order is (cost, src, input). auto g = make_graph(3, {{0, 2, 1, 5}, {1, 2, 1, 1}}); ASSERT_EQ(g.in_row_offsets()[2], 0); const EdgeId first = g.in_adj_edge_index()[0]; @@ -145,9 +132,9 @@ TEST(Graph, CostChecksAndMaximumAfterTheGcdReachesOne) { auto late = build(2, {0, 0, 0}, {1, 1, 1}, {1, 1, 1}, {4, 6, 9}); EXPECT_EQ(late.cost_gcd(), 1); // 1 only at the last edge EXPECT_EQ(late.max_cost(), 9); - auto ones = build(2, {0, 0, 0}, {1, 1, 1}, {1, 1, 1}, {1, 1, L62 / 4}); + auto ones = build(2, {0, 0, 0}, {1, 1, 1}, {1, 1, 1}, {1, 1, kL62 / 4}); EXPECT_EQ(ones.cost_gcd(), 1); - EXPECT_EQ(ones.max_cost(), L62 / 4); + EXPECT_EQ(ones.max_cost(), kL62 / 4); EXPECT_EQ(build(2, {0}, {1}, {1}, {6}).cost_gcd(), 6); EXPECT_EQ(build(2, {0, 0}, {1, 1}, {1, 1}, {6, 4}).cost_gcd(), 2); EXPECT_EQ(build(0, {}, {}, {}, {}).cost_gcd(), 0); @@ -157,31 +144,14 @@ TEST(Graph, CostChecksAndMaximumAfterTheGcdReachesOne) { const auto negative = error_of([] { (void)build(2, {0, 0, 0, 0}, {1, 1, 1, 1}, {1, 1, 1, 1}, {1, 5, -7, 0}); }); EXPECT_TRUE(contains(negative, "cost[2] = -7")) << negative; // The cost sum after the GCD reached 1. - EXPECT_TRUE(contains(error_of([] { (void)build(2, {0, 0, 0}, {1, 1, 1}, {1, 1, 1}, {1, L62 / 2, L62 / 2}); }), + EXPECT_TRUE(contains(error_of([] { (void)build(2, {0, 0, 0}, {1, 1, 1}, {1, 1, 1}, {1, kL62 / 2, kL62 / 2}); }), "sum of all edge costs")); } -TEST(Graph, ExactUnitsAboveTwo53) { - const Amount big = (Amount{1} << 53) + 1; - auto g = make_graph(2, {{0, 1, big, 1}}); - EXPECT_EQ(g.capacity_units()[0], big); - EXPECT_EQ(as_float(big, 1.0), 9007199254740992.0); // the documented export limit -} - -TEST(Graph, CopyIsANewGraph) { - auto g = make_graph(3, {{0, 2, 4, 2}, {0, 1, 3, 1}}); - Graph c(g); - EXPECT_NE(c.uid(), g.uid()); - EXPECT_EQ(std::vector(c.input_index().begin(), c.input_index().end()), - std::vector(g.input_index().begin(), g.input_index().end())); - EXPECT_EQ(std::vector(c.capacity_units().begin(), c.capacity_units().end()), - std::vector(g.capacity_units().begin(), g.capacity_units().end())); - auto h = make_graph(3, {{0, 2, 4, 2}, {0, 1, 3, 1}}); - EXPECT_NE(h.uid(), g.uid()); - EXPECT_GT(g.uid(), 0u); -} - TEST(Graph, Resolution) { + // The resolution has no default: no constructor takes the arrays without it. + static_assert(!std::is_constructible_v, std::span, + std::span, std::span>); for (double q : {std::ldexp(1.0, -32), std::ldexp(1.0, -12), 1.0, std::ldexp(1.0, 32)}) { auto g = build(2, {0}, {1}, {1}, {1}, q); EXPECT_EQ(g.resolution(), q); @@ -194,49 +164,75 @@ TEST(Graph, Resolution) { TEST(Graph, EveryValidationError) { // The unit values. - EXPECT_TRUE(contains(error_of([] { (void)build(2, {0}, {1}, {-1}, {1}); }), "capacity_units")); - EXPECT_TRUE(contains(error_of([] { (void)build(2, {0}, {1}, {L62}, {1}); }), "units domain")); + EXPECT_EQ(error_of([] { (void)build(2, {0}, {1}, {-1}, {1}); }), + "capacity_units[0] = -1 is outside the units domain [0, 2^62)"); + EXPECT_EQ(error_of([] { (void)build(2, {0}, {1}, {kL62}, {1}); }), + "capacity_units[0] = 4611686018427387904 is outside the units domain [0, 2^62)"); // The shapes. - EXPECT_TRUE(contains(error_of([] { (void)build(-1, {}, {}, {}, {}); }), "num_nodes")); - EXPECT_TRUE(contains(error_of([] { (void)build(2, {0, 1}, {1}, {1}, {1}); }), "same length")); - EXPECT_TRUE(contains(error_of([] { (void)build(2, {0}, {1}, {1, 2}, {1}); }), "same length")); - EXPECT_TRUE(contains(error_of([] { (void)build(2, {0}, {1}, {1}, {}); }), "same length")); - // Zero and negative costs (rule 28). - EXPECT_TRUE(contains(error_of([] { (void)build(2, {0}, {1}, {1}, {0}); }), "cost")); - EXPECT_TRUE(contains(error_of([] { (void)build(2, {0}, {1}, {1}, {-5}); }), "costs must be positive")); + EXPECT_EQ(error_of([] { (void)build(-1, {}, {}, {}, {}); }), "num_nodes must be >= 0 (got -1)"); + EXPECT_EQ(error_of([] { (void)build(2, {0, 1}, {1}, {1}, {1}); }), + "src, dst, capacity_units and cost must have the same length (got 2, 1, 1, 1)"); + EXPECT_EQ(error_of([] { (void)build(2, {0}, {1}, {1, 2}, {1}); }), + "src, dst, capacity_units and cost must have the same length (got 1, 1, 2, 1)"); + EXPECT_EQ(error_of([] { (void)build(2, {0}, {1}, {1}, {}); }), + "src, dst, capacity_units and cost must have the same length (got 1, 1, 1, 0)"); + // Zero and negative costs. + EXPECT_EQ(error_of([] { (void)build(2, {0}, {1}, {1}, {0}); }), "cost[0] = 0: costs must be positive (cost >= 1)"); + EXPECT_EQ(error_of([] { (void)build(2, {0}, {1}, {1}, {-5}); }), "cost[0] = -5: costs must be positive (cost >= 1)"); // The remaining bounds. - EXPECT_TRUE(contains(error_of([] { (void)build(2, {2}, {1}, {1}, {1}); }), "out of node range")); - EXPECT_TRUE(contains(error_of([] { (void)build(2, {0}, {-1}, {1}, {1}); }), "out of node range")); - EXPECT_TRUE(contains(error_of([] { (void)build(2, {0, 0}, {1, 1}, {L62 / 2, L62 / 2}, {1, 1}); }), - "sum of all capacities")); - EXPECT_TRUE(contains(error_of([] { (void)build(2, {0, 0}, {1, 1}, {1, 1}, {L62 / 2, L62 / 2}); }), - "sum of all edge costs")); + EXPECT_EQ(error_of([] { (void)build(2, {2}, {1}, {1}, {1}); }), "edge 0: endpoint (2, 1) out of node range [0, 2)"); + EXPECT_EQ(error_of([] { (void)build(2, {0}, {-1}, {1}, {1}); }), "edge 0: endpoint (0, -1) out of node range [0, 2)"); + EXPECT_EQ(error_of([] { (void)build(2, {0, 0}, {1, 1}, {kL62 / 2, kL62 / 2}, {1, 1}); }), + "the sum of all capacities reaches the bound of the units domain (2^62 units)"); + EXPECT_EQ(error_of([] { (void)build(2, {0, 0}, {1, 1}, {1, 1}, {kL62 / 2, kL62 / 2}); }), + "the sum of all edge costs reaches the bound 2^62: path costs would overflow int64"); // Just below the bounds is accepted. - auto caps = build(2, {0, 0}, {1, 1}, {L62 / 2, L62 / 2 - 1}, {1, 1}); - EXPECT_EQ(caps.capacity_units()[0] + caps.capacity_units()[1], L62 - 1); - auto costs = build(2, {0, 0}, {1, 1}, {1, 1}, {L62 / 2, L62 / 2 - 1}); - EXPECT_EQ(costs.max_cost(), L62 / 2); - auto huge_cost = build(2, {0}, {1}, {1}, {L62 - 1}); - EXPECT_EQ(huge_cost.max_cost(), L62 - 1); - EXPECT_TRUE(contains(error_of([] { (void)build(2, {0}, {1}, {1}, {std::numeric_limits::max()}); }), - "sum of all edge costs")); + auto caps = build(2, {0, 0}, {1, 1}, {kL62 / 2, kL62 / 2 - 1}, {1, 1}); + EXPECT_EQ(caps.capacity_units()[0] + caps.capacity_units()[1], kL62 - 1); + auto costs = build(2, {0, 0}, {1, 1}, {1, 1}, {kL62 / 2, kL62 / 2 - 1}); + EXPECT_EQ(costs.max_cost(), kL62 / 2); + auto huge_cost = build(2, {0}, {1}, {1}, {kL62 - 1}); + EXPECT_EQ(huge_cost.max_cost(), kL62 - 1); + EXPECT_EQ(error_of([] { (void)build(2, {0}, {1}, {1}, {std::numeric_limits::max()}); }), + "the sum of all edge costs reaches the bound 2^62: path costs would overflow int64"); } TEST(Graph, ValidationOrder) { // Resolution before the unit values. - EXPECT_TRUE(contains(error_of([] { (void)build(2, {0}, {1}, {-1}, {1}, 3.0); }), "resolution")); - // The unit values before the shapes. - EXPECT_TRUE(contains(error_of([] { (void)build(2, {0, 1}, {1}, {-1}, {1}); }), "capacity_units")); + EXPECT_EQ(error_of([] { (void)build(2, {0}, {1}, {-1}, {1}, 3.0); }), + "resolution must be a power of two in [2^-32, 2^32]"); + // The unit values before the shapes (the length message names capacity_units too). + EXPECT_EQ(error_of([] { (void)build(2, {0, 1}, {1}, {-1}, {1}); }), + "capacity_units[0] = -1 is outside the units domain [0, 2^62)"); // The shapes before the costs. - EXPECT_TRUE(contains(error_of([] { (void)build(2, {0, 1}, {1}, {1}, {0}); }), "same length")); - EXPECT_TRUE(contains(error_of([] { (void)build(-1, {0}, {1}, {1}, {0}); }), "num_nodes")); + EXPECT_EQ(error_of([] { (void)build(2, {0, 1}, {1}, {1}, {0}); }), + "src, dst, capacity_units and cost must have the same length (got 2, 1, 1, 1)"); + EXPECT_EQ(error_of([] { (void)build(-1, {0}, {1}, {1}, {0}); }), "num_nodes must be >= 0 (got -1)"); // The costs before the remaining bounds (endpoints, sums). - EXPECT_TRUE(contains(error_of([] { (void)build(2, {0}, {5}, {1}, {0}); }), "costs must be positive")); - EXPECT_TRUE(contains(error_of([] { (void)build(2, {0, 0}, {1, 1}, {L62 / 2, L62 / 2}, {1, 0}); }), - "costs must be positive")); + EXPECT_EQ(error_of([] { (void)build(2, {0}, {5}, {1}, {0}); }), "cost[0] = 0: costs must be positive (cost >= 1)"); + EXPECT_EQ(error_of([] { (void)build(2, {0, 0}, {1, 1}, {kL62 / 2, kL62 / 2}, {1, 0}); }), + "cost[1] = 0: costs must be positive (cost >= 1)"); // Endpoints before the sums. - EXPECT_TRUE(contains(error_of([] { (void)build(2, {0, 7}, {1, 1}, {L62 / 2, L62 / 2}, {1, 1}); }), - "out of node range")); + EXPECT_EQ(error_of([] { (void)build(2, {0, 7}, {1, 1}, {kL62 / 2, kL62 / 2}, {1, 1}); }), + "edge 1: endpoint (7, 1) out of node range [0, 2)"); + // Both running sums reach 2^62 at the same edge: the capacity sum is reported. + EXPECT_EQ(error_of([] { (void)build(2, {0, 0}, {1, 1}, {kL62 / 2, kL62 / 2}, {kL62 / 2, kL62 / 2}); }), + "the sum of all capacities reaches the bound of the units domain (2^62 units)"); +} + +// Uids come from one process-wide counter and are never reused: a graph built after another was +// destroyed (in the same storage) gets a larger uid, and so does a copy. +TEST(Graph, UidsAreNeverReused) { + std::uint64_t last = 0; + for (int i = 0; i < 3; ++i) { + const auto g = build(2, {0}, {1}, {1}, {1}); + EXPECT_GT(g.uid(), last) << i; + last = g.uid(); + } + const auto g = build(2, {0}, {1}, {1}, {1}); + const Graph copy(g); + EXPECT_GT(copy.uid(), g.uid()); + EXPECT_GT(g.uid(), last); } TEST(Units, HalfUpBoundaries) { @@ -259,24 +255,35 @@ TEST(Units, HalfUpBoundaries) { EXPECT_EQ(to_units(4503599627370497.5, 1.0), Amount{4503599627370498}); // 2^52 + 1.5 is not a double EXPECT_EQ(to_units(4503599627370495.5, 1.0), Amount{4503599627370496}); // 2^52 - 0.5 rounds up EXPECT_EQ(to_units(4611686018427387392.0, 1.0), Amount{4611686018427387392}); // 2^62 - 512 + // The export above 2^53 is the nearest double (the documented export limit). + EXPECT_EQ(as_float((Amount{1} << 53) + 1, 1.0), 9007199254740992.0); } TEST(Units, RejectedValues) { const double q = std::ldexp(1.0, -12); - EXPECT_TRUE(contains(error_of([&] { (void)to_units(std::numeric_limits::quiet_NaN(), q); }), "NaN")); - EXPECT_TRUE(contains(error_of([&] { (void)to_units(std::numeric_limits::infinity(), q); }), "finite")); - EXPECT_TRUE(contains(error_of([&] { (void)to_units(-std::numeric_limits::infinity(), q); }), "finite")); - EXPECT_TRUE(contains(error_of([&] { (void)to_units(-1e-300, q); }), "negative")); - EXPECT_TRUE(contains(error_of([&] { (void)to_units(4611686018427387904.0, 1.0); }), "bound")); // 2^62 - EXPECT_TRUE(contains(error_of([&] { (void)to_units(std::numeric_limits::max(), std::ldexp(1.0, 32)); }), - "bound")); - EXPECT_TRUE(contains(error_of([&] { (void)to_units(1e300, std::ldexp(1.0, -32)); }), "bound")); - EXPECT_TRUE(contains(error_of([&] { (void)to_units(1.0, 3.0); }), "resolution")); - EXPECT_TRUE(contains(error_of([&] { (void)as_float(1, 0.0); }), "resolution")); - // Admission at q = 2^-12: [1e15, 1.25e14] fits, [1e15, 1.26e14] exceeds the unit sum. + const std::string nan = "to_units: NaN has no unit value"; + const std::string infinite = "to_units: an infinite amount is not finite and has no unit value"; + const std::string bound = "to_units: the amount is at or above the bound of the units domain (2^62 units)"; + const std::string resolution = "resolution must be a power of two in [2^-32, 2^32]"; + EXPECT_EQ(error_of([&] { (void)to_units(std::numeric_limits::quiet_NaN(), q); }), nan); + EXPECT_EQ(error_of([&] { (void)to_units(std::numeric_limits::infinity(), q); }), infinite); + EXPECT_EQ(error_of([&] { (void)to_units(-std::numeric_limits::infinity(), q); }), infinite); + EXPECT_EQ(error_of([&] { (void)to_units(-1e-300, q); }), "to_units: a negative amount has no unit value"); + EXPECT_EQ(error_of([&] { (void)to_units(4611686018427387904.0, 1.0); }), bound); // 2^62 + EXPECT_EQ(error_of([&] { (void)to_units(std::numeric_limits::max(), std::ldexp(1.0, 32)); }), bound); + EXPECT_EQ(error_of([&] { (void)to_units(1e300, std::ldexp(1.0, -32)); }), bound); + // Both resolution checks: a value that is not a power of two, and a power of two out of range + // (and the values that are not positive and finite). + for (const double bad : {3.0, std::ldexp(1.0, -33), std::ldexp(1.0, 33), 0.0, -1.0, + std::numeric_limits::quiet_NaN(), std::numeric_limits::infinity()}) { + EXPECT_EQ(error_of([&] { (void)to_units(1.0, bad); }), resolution) << bad; + EXPECT_EQ(error_of([&] { (void)as_float(1, bad); }), resolution) << bad; + } + // The capacity-sum bound at q = 2^-12: [1e15, 1.25e14] fits, [1e15, 1.26e14] exceeds the unit sum. const std::vector ok = {to_units(1e15, q), to_units(1.25e14, q)}; auto g = build(2, {0, 0}, {1, 1}, ok, {1, 1}, q); EXPECT_EQ(g.capacity_units()[0] + g.capacity_units()[1], ok[0] + ok[1]); const std::vector over = {to_units(1e15, q), to_units(1.26e14, q)}; - EXPECT_TRUE(contains(error_of([&] { (void)build(2, {0, 0}, {1, 1}, over, {1, 1}, q); }), "sum of all capacities")); + EXPECT_EQ(error_of([&] { (void)build(2, {0, 0}, {1, 1}, over, {1, 1}, q); }), + "the sum of all capacities reaches the bound of the units domain (2^62 units)"); } diff --git a/tests/cpp/kernels_tests.cpp b/tests/cpp/kernels_tests.cpp index c4d9c27..15764f9 100644 --- a/tests/cpp/kernels_tests.cpp +++ b/tests/cpp/kernels_tests.cpp @@ -1,21 +1,28 @@ -// Apportionment and the placement kernels in units (APPROACH 2.1, 7, 16): the closed-form +// Apportionment and the placement kernels in units: the closed-form // highest averages against the sequential definition, house monotonicity and the Hamilton hole -// control, plans (membership by kernel and priority, split-graph pruning), alloc(T) at every -// split, exact T_max, the Lossless steps of MaxFlow (replacement on V = W + own, the -// cancellation DAG, the equal-optimum and cancel-upstream controls, the release witness, the -// mixed-cost bundle), Weighted and EqualBalanced, and the Lossy steps (drops, +inf injection). -// Expected values are the closed forms and the prototype-1 fixtures named in each test. +// control, the round-robin callback form, the lower-quota division on both sides of 2^64; the +// kernel check (the first defect in order, the combination rule alone); plans (membership by +// kernel and priority, split-graph pruning, the walk definition for every kernel), alloc(T) at +// every split, exact T_max against an independent per-node reference, the Lossless +// steps of MaxFlow (replacement on V = W + own, the cancellation DAG, the equal-optimum and +// cancel-upstream controls, the release witness, the mixed-cost bundle; randomized steps +// certified on their member subset against an exhaustive optimum or an independent solver, with +// every cost multiplied, and the step certificate's own controls), Weighted and EqualBalanced, +// and the Lossy steps (drops, +inf injection; on random DAGs against an independent per-node +// reference). Expected values are the closed forms, the hand derivations given in each test, those +// independent optima and the per-node references. #include #include #include +#include #include #include #include #include -#include #include -#include +#include +#include #include #include "netgraph/core/detail/int128.hpp" @@ -48,14 +55,116 @@ std::vector ha_slow(Amount total, const std::vector& w) { for (Amount u = 0; u < total; ++u) { std::size_t best = 0; for (std::size_t i = 1; i < w.size(); ++i) { - if (static_cast<__int128>(w[i]) * (a[best] + 1) > static_cast<__int128>(w[best]) * (a[i] + 1)) best = i; + if (static_cast(w[i]) * (a[best] + 1) > static_cast(w[best]) * (a[i] + 1)) best = i; } ++a[best]; } return a; } -// Hamilton (largest remainders, rejected): a control only. +// Count the exact rank of each quotient w[i] / k in all positive quotients w[j] / h. +// Quotients above it precede it; equal quotients with j <= i also count. The k-th unit belongs +// to i iff that rank is at most total. Binary search each member's last accepted k, using only +// integer comparisons and division, independently of the library's lower-quota allocation. +std::vector ha_by_rank(Amount total, const std::vector& w) { + std::vector out(w.size(), 0); + for (std::size_t i = 0; i < w.size(); ++i) { + Amount lo = 0, hi = total; + while (lo < hi) { + const Amount k = lo + (hi - lo + 1) / 2; + Int128 rank = 0; + for (std::size_t j = 0; j < w.size(); ++j) { + const Int128 product = static_cast(w[j]) * k; + rank += (product - 1) / w[i]; + if (product % w[i] == 0 && j <= i) ++rank; + } + if (rank <= total) lo = k; + else hi = k - 1; + } + out[i] = lo; + } + return out; +} + +// The per-node reference of alloc(T) on a DAG whose node ids are a topological order, +// independent of the library: `total` enters at node `src`; node by node in id order, each node's +// inflow is split over its arcs in the given order by the sequential definition with the arcs' +// weights. Returns each arc's amount. +std::vector per_node_reference(int n, const std::vector>& arcs, + const std::vector& weights, Amount total, NodeId src = 0, bool by_rank = false) { + std::vector inflow(static_cast(n), 0), out(arcs.size(), 0); + inflow[static_cast(src)] = total; + for (NodeId u = 0; u < n; ++u) { + std::vector mine; + std::vector w; + for (std::size_t i = 0; i < arcs.size(); ++i) { + if (arcs[i].first != u) continue; + mine.push_back(i); + w.push_back(weights[i]); + } + if (mine.empty()) continue; + const auto parts = by_rank ? ha_by_rank(inflow[static_cast(u)], w) + : ha_slow(inflow[static_cast(u)], w); + for (std::size_t j = 0; j < mine.size(); ++j) { + out[mine[j]] = parts[j]; + inflow[static_cast(arcs[mine[j]].second)] += parts[j]; + } + } + return out; +} + +// The per-node reference of a Lossy step, independent of the library: on a split graph whose node +// ids are a topological order, given as its arcs in ascending EdgeId with each arc's weight and +// residual, the offer enters at `src` (+inf: each arc out of `src` is offered its residual); node +// by node in id order, a node's inflow is split over its arcs one unit at a time (Weighted: each +// unit to the largest weight / (share + 1), ties to the earlier arc; EqualBalanced: the arcs in +// turn), each arc carries the smaller of its share and its residual and drops the rest, and what +// it carries enters its head. A destination splits nothing (no arc of a split graph leaves one). +struct LossyReference { + std::vector carried; + std::vector drops; + Amount injected {0}; + Amount delivered {0}; +}; +LossyReference lossy_reference(int n, const std::vector>& arcs, + const std::vector& weights, const std::vector& residual, bool weighted, + std::optional offer, NodeId src, const std::vector& dsts) { + LossyReference out {std::vector(arcs.size(), 0), std::vector(arcs.size(), 0)}; + std::vector inflow(static_cast(n), 0); + inflow[static_cast(src)] = offer.value_or(0); + for (NodeId u = 0; u < n; ++u) { + if (std::find(dsts.begin(), dsts.end(), u) != dsts.end()) continue; + std::vector mine; + std::vector w; + for (std::size_t i = 0; i < arcs.size(); ++i) { + if (arcs[i].first != u) continue; + mine.push_back(i); + w.push_back(weights[i]); + } + if (mine.empty()) continue; + std::vector share(mine.size(), 0); + if (u == src && !offer.has_value()) { + for (std::size_t j = 0; j < mine.size(); ++j) share[j] = residual[mine[j]]; + } else if (weighted) { + share = ha_slow(inflow[static_cast(u)], w); + } else { + for (Amount unit = 0; unit < inflow[static_cast(u)]; ++unit) { + ++share[static_cast(unit % static_cast(mine.size()))]; + } + } + for (std::size_t j = 0; j < mine.size(); ++j) { + const std::size_t i = mine[j]; + if (u == src) out.injected += share[j]; + out.carried[i] = std::min(share[j], residual[i]); + out.drops[i] = share[j] - out.carried[i]; + inflow[static_cast(arcs[i].second)] += out.carried[i]; + } + } + for (NodeId d : dsts) out.delivered += inflow[static_cast(d)]; + return out; +} + +// Hamilton (largest remainders; not the library's rule): a control only. std::vector hamilton(Amount total, const std::vector& w) { const Amount sum = std::accumulate(w.begin(), w.end(), Amount {0}); std::vector a(w.size()); @@ -71,12 +180,6 @@ std::vector hamilton(Amount total, const std::vector& w) { return a; } -// A plan's structure field (a view of the plan's block) as a vector. -template -std::vector> vec(std::span v) { - return std::vector>(v.begin(), v.end()); -} - // Member-aligned view of a dense per-edge array. std::vector on_members(const KernelPlan& plan, const std::vector& dense) { std::vector out; @@ -91,12 +194,6 @@ std::vector dense_input(const Graph& g, const KernelPlan& plan, const st return to_input(g, by_id); } -std::vector all_ids(const Graph& g) { - std::vector out(static_cast(g.num_edges())); - std::iota(out.begin(), out.end(), 0); - return out; -} - KernelPlan plan_of(const Graph& g, FlowPlacement p, NodeId src, std::vector dsts, std::vector route, const std::vector& view, EdgePriority prio = EdgePriority::Residual, Admission adm = Admission::Lossless) { @@ -123,9 +220,56 @@ LosslessStep first_step(const Graph& g, const KernelPlan& plan, const std::vecto return lossless_step(g, plan, 0, v, own, request); } +// `count` random edges of a DAG whose node ids 0 .. n - 1 are a topological order: each u -> v +// with u < v, then its capacity and its cost, drawn in that order. +template +std::vector random_dag_edges(Rng& rng, int n, int count, CapacityOf capacity, CostOf cost) { + std::vector edges; + for (int i = 0; i < count; ++i) { + const auto u = static_cast(rng() % static_cast(n - 1)); + const auto v = static_cast(u + 1 + rng() % static_cast(n - 1 - u)); + const Amount c = capacity(); + const Cost w = cost(); + edges.push_back({u, v, c, w}); + } + return edges; +} + +// The walk definition of a split graph, independent of the plan builder: the edges of `edges` +// on some walk from src to the destination set that leaves no destination (destinations are +// terminal), ascending; forward from src and backward from the destinations by fixpoint. +std::vector walk_members(const Graph& g, const std::vector& edges, NodeId src, + const std::vector& dsts) { + const auto n = static_cast(g.num_nodes()); + std::vector is_dst(n, 0), fwd(n, 0), bwd(n, 0); + for (NodeId d : dsts) is_dst[static_cast(d)] = bwd[static_cast(d)] = 1; + fwd[static_cast(src)] = 1; + std::vector open; + for (EdgeId e : edges) { + if (is_dst[static_cast(g.edge_src()[static_cast(e)])] == 0) open.push_back(e); + } + for (std::size_t round = 0; round < n; ++round) { + for (EdgeId e : open) { + const auto u = static_cast(g.edge_src()[static_cast(e)]); + const auto v = static_cast(g.edge_dst()[static_cast(e)]); + if (fwd[u] != 0) fwd[v] = 1; + if (bwd[v] != 0) bwd[u] = 1; + } + } + std::vector out; + for (EdgeId e : open) { + if (fwd[static_cast(g.edge_src()[static_cast(e)])] != 0 && + bwd[static_cast(g.edge_dst()[static_cast(e)])] != 0) { + out.push_back(e); + } + } + std::sort(out.begin(), out.end()); + return out; +} + } // namespace -TEST(Apportion, RoundRobinAndReviewValues) { +TEST(Apportion, RoundRobinAndHighestAveragesValues) { EXPECT_EQ(rr(7, 3), (std::vector{3, 2, 2})); EXPECT_EQ(rr(1, 3), (std::vector{1, 0, 0})); EXPECT_EQ(rr(0, 4), (std::vector{0, 0, 0, 0})); @@ -173,7 +317,7 @@ TEST(Apportion, RoundRobinCallbackFormEqualsSpanFormAndStopsEarly) { TEST(Apportion, ClosedFormEqualsSequentialAndIsHouseMonotone) { std::mt19937 rng(7); - int cases = 0; + int weighted = 0; // allocations that differ from round robin: the weights mattered for (int k = 1; k <= 20; ++k) { for (int trial = 0; trial < 40; ++trial) { std::vector w(static_cast(k)); @@ -184,7 +328,7 @@ TEST(Apportion, ClosedFormEqualsSequentialAndIsHouseMonotone) { ASSERT_EQ(a, ha_slow(total, w)) << "k " << k << " total " << total; for (std::size_t i = 0; i < a.size(); ++i) ASSERT_GE(a[i], prev[i]); prev = a; - ++cases; + weighted += a != rr(total, static_cast(k)) ? 1 : 0; } } } @@ -192,7 +336,7 @@ TEST(Apportion, ClosedFormEqualsSequentialAndIsHouseMonotone) { for (std::size_t k = 1; k <= 9; ++k) { for (Amount total = 0; total <= 40; ++total) EXPECT_EQ(ha(total, std::vector(k, 7)), rr(total, k)); } - EXPECT_GT(cases, 40000); + EXPECT_GT(weighted, 20000); } TEST(Apportion, HighestAveragesNearTheDomainBound) { @@ -205,8 +349,8 @@ TEST(Apportion, HighestAveragesNearTheDomainBound) { for (std::size_t i = 0; i < w.size(); ++i) { if (a[i] == 0) continue; for (std::size_t j = 0; j < w.size(); ++j) { - const __int128 left = static_cast<__int128>(w[i]) * (a[j] + 1); - const __int128 right = static_cast<__int128>(w[j]) * a[i]; + const Int128 left = static_cast(w[i]) * (a[j] + 1); + const Int128 right = static_cast(w[j]) * a[i]; EXPECT_TRUE(left > right || (left == right && i <= j)) << i << " " << j; } } @@ -218,8 +362,8 @@ TEST(Apportion, HighestAveragesNearTheDomainBound) { for (std::size_t i = 0; i < wide.size(); ++i) { for (std::size_t j = 0; j < wide.size(); ++j) { if (b[i] == 0) continue; - const __int128 left = static_cast<__int128>(wide[i]) * (b[j] + 1); - const __int128 right = static_cast<__int128>(wide[j]) * b[i]; + const Int128 left = static_cast(wide[i]) * (b[j] + 1); + const Int128 right = static_cast(wide[j]) * b[i]; EXPECT_TRUE(left > right || (left == right && i <= j)); } } @@ -228,10 +372,10 @@ TEST(Apportion, HighestAveragesNearTheDomainBound) { // The lower-quota division floor(n / d) on both sides of 2^64: dividends with a zero high word // (the 64-bit path) and with a nonzero one (the 128-bit path), divisors near 1, near the units // domain bound 2^62 (the call sites divide by a weight sum below it) and near 2^64, against the -// unsigned __int128 quotient and the defining bounds q * d <= n < (q + 1) * d. +// 128-bit quotient of the test integer (test_int128.hpp) and the defining bounds q * d <= n < (q + 1) * d. TEST(Apportion, QuotaDivisionOnBothSidesOfTheSixtyFourBitBoundary) { using u64 = std::uint64_t; - using u128 = unsigned __int128; + using u128 = UInt128; constexpr u64 kMax = std::numeric_limits::max(); const auto domain = static_cast(kDomainLimit); int narrow = 0, wide = 0; @@ -259,15 +403,14 @@ TEST(Apportion, QuotaDivisionOnBothSidesOfTheSixtyFourBitBoundary) { for (u64 q : {u64 {1}, u64 {2}, kMax / d, kMax - 1, kMax}) { const u128 at = static_cast(q) * d; for (u128 n : {at - 1, at, at + 1}) { - if (n >> 64 < d) check(static_cast(n >> 64), static_cast(n), d); + if ((n >> 64) < d) check(static_cast(n >> 64), static_cast(n), d); } } } // The call-site shape: total * w / W with total and the weights below 2^62, W the weight sum. for (u64 total : {u64 {1}, u64 {50}, domain - 2, domain - 1}) { for (u64 w : {u64 {1}, u64 {3}, domain / 3, domain - 1}) { - for (u64 sum : {w, w + 1, domain - 1}) { - if (sum < w) continue; + for (u64 sum : {w, w + 1, domain - 1}) { // every sum at least w const U128 n = mul_u64(total, w); check(n.hi, n.lo, sum); } @@ -283,6 +426,30 @@ TEST(Apportion, QuotaDivisionOnBothSidesOfTheSixtyFourBitBoundary) { EXPECT_GT(wide, 10000); } +// The exact 64 x 64 -> 128-bit product: the built-in path where the compiler has a 128-bit +// integer, the 32-bit-limb path elsewhere (MSVC), both against the test integer (test_int128.hpp, +// independent of the library) at the word boundaries and on random operands. +TEST(Apportion, MulU64IsTheExactProduct) { + using u64 = std::uint64_t; + constexpr u64 kMax = std::numeric_limits::max(); + const std::vector edges = {0, 1, 2, 3, 0xffffffffULL, 0x100000000ULL, 0x100000001ULL, (u64 {1} << 62) - 1, + u64 {1} << 62, u64 {1} << 63, kMax - 1, kMax}; + auto check = [](u64 a, u64 b) { + const U128 p = mul_u64(a, b); + const UInt128 want = static_cast(a) * static_cast(b); + ASSERT_EQ(p.hi, static_cast(want >> 64)) << a << " * " << b; + ASSERT_EQ(p.lo, static_cast(want)) << a << " * " << b; + }; + for (u64 a : edges) { + for (u64 b : edges) check(a, b); + } + std::mt19937_64 rng(1729); + for (int i = 0; i < 20000; ++i) { + const int shift_a = static_cast(rng() % 64), shift_b = static_cast(rng() % 64); + check(rng() >> shift_a, rng() >> shift_b); + } +} + TEST(Apportion, HamiltonHoleControl) { // Weights [1, 3, 3] on members with view [0, 3, 3]: highest averages is feasible on 0..4 // (T_max = 4 exactly); Hamilton's rule has the hole at 3 ({0, 1, 2, 4}). @@ -318,6 +485,68 @@ TEST(Apportion, HamiltonHoleControl) { EXPECT_EQ(dense_input(g, plan, at3), (std::vector{0, 2, 1})); } +// The kernel entries keep their complete check: with several defects at once, one +// error, the first in the order placement, admission, priority (named "priority": a kernel entry +// takes it as a field of its own), then the combinations Lossy with MaxFlow and Weighted with +// Headroom; at check_kernel and at the three entries that call it. +TEST(Plans, KernelEntriesReportTheFirstDefectInOrder) { + const auto bad_placement = static_cast(99); + const auto bad_admission = static_cast(98); + const auto bad_priority = static_cast(97); + struct Case { + FlowPlacement k; + Admission a; + EdgePriority p; + std::string error; + }; + const std::vector cases = { + {bad_placement, bad_admission, bad_priority, "placement: 99 is not a value of FlowPlacement"}, + {bad_placement, Admission::Lossy, EdgePriority::Headroom, "placement: 99 is not a value of FlowPlacement"}, + {FlowPlacement::MaxFlow, bad_admission, bad_priority, "admission: 98 is not a value of Admission"}, + {FlowPlacement::MaxFlow, Admission::Lossy, bad_priority, "priority: 97 is not a value of EdgePriority"}, + {FlowPlacement::Weighted, Admission::Lossy, bad_priority, "priority: 97 is not a value of EdgePriority"}, + {FlowPlacement::MaxFlow, Admission::Lossy, EdgePriority::Headroom, kLossyKernelError}, + {FlowPlacement::Weighted, Admission::Lossy, EdgePriority::Headroom, kHeadroomKernelError}, + {FlowPlacement::Weighted, Admission::Lossless, EdgePriority::Headroom, kHeadroomKernelError}, + }; + const auto g = make_graph(3, {{0, 1, 2, 1}, {1, 2, 2, 1}}); + const auto support = all_edges(g); + const std::vector dsts = {2}; + const PriorityValues values {&g, EdgePriority::Capacity, {}}; + for (const auto& c : cases) { + EXPECT_EQ(error_of([&] { check_kernel(c.k, c.a, c.p); }), c.error); + EXPECT_EQ(error_of([&] { (void)make_plan(g, c.k, c.a, c.p, 0, dsts, *support, {}); }), c.error); + EXPECT_EQ(error_of([&] { (void)make_route_plan(g, c.k, c.a, c.p, 0, dsts, *support, nullptr); }), c.error); + PathSelection selection(EdgeTieBreak::Deterministic, EdgePriority::Capacity); + selection.priority = c.p; + EXPECT_EQ(error_of([&] { (void)cost_only_creation(g, support, 0, dsts, selection, PriorityFn::of(values), c.k, c.a); }), + c.error); + } +} + +// validate_config's part of the kernel check: the two combinations only, +// never a domain, which the configuration has checked under its own field names just before. +TEST(Plans, TheCombinationRuleAloneChecksNoDomain) { + const auto bad_placement = static_cast(99); + const auto bad_admission = static_cast(98); + const auto bad_priority = static_cast(97); + EXPECT_EQ(error_of([&] { check_kernel_combination(FlowPlacement::MaxFlow, Admission::Lossy, bad_priority); }), + kLossyKernelError); + EXPECT_EQ(error_of([&] { check_kernel_combination(FlowPlacement::Weighted, bad_admission, EdgePriority::Headroom); }), + kHeadroomKernelError); + EXPECT_EQ(error_of([&] { check_kernel_combination(bad_placement, bad_admission, bad_priority); }), ""); + for (auto k : {FlowPlacement::MaxFlow, FlowPlacement::Weighted, FlowPlacement::EqualBalanced}) { + for (auto a : {Admission::Lossless, Admission::Lossy}) { + for (auto pr : {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}) { + const bool rejected = (a == Admission::Lossy && k == FlowPlacement::MaxFlow) || + (k == FlowPlacement::Weighted && pr == EdgePriority::Headroom); + EXPECT_EQ(error_of([&] { check_kernel_combination(k, a, pr); }).empty(), !rejected); + EXPECT_EQ(error_of([&] { check_kernel_combination(k, a, pr); }), error_of([&] { check_kernel(k, a, pr); })); + } + } + } +} + TEST(Plans, MembershipByKernelAndPriority) { // Parallel links of capacities [4, 4, 0] with residual [0, 4, 0] on the creation view. auto g = make_graph(2, {{0, 1, 4, 1}, {0, 1, 4, 1}, {0, 1, 0, 1}}); @@ -333,15 +562,18 @@ TEST(Plans, MembershipByKernelAndPriority) { auto wc = plan_of(g, FlowPlacement::Weighted, 0, {1}, all_ids(g), view, EdgePriority::Capacity); EXPECT_EQ(wc.members, (std::vector{inv[0], inv[1]})); EXPECT_EQ(wc.weights, (std::vector{4, 4})); - EXPECT_THROW((void)plan_of(g, FlowPlacement::Weighted, 0, {1}, all_ids(g), view, EdgePriority::Headroom), - std::invalid_argument); - EXPECT_THROW( - (void)plan_of(g, FlowPlacement::MaxFlow, 0, {1}, all_ids(g), view, EdgePriority::Residual, Admission::Lossy), - std::invalid_argument); + // Lossy keeps its kernel's membership and weights. + for (const auto& [kernel, prio, lossless] : {std::tuple {FlowPlacement::EqualBalanced, EdgePriority::Residual, &eb}, + std::tuple {FlowPlacement::Weighted, EdgePriority::Residual, &wr}, + std::tuple {FlowPlacement::Weighted, EdgePriority::Capacity, &wc}}) { + const auto lossy = plan_of(g, kernel, 0, {1}, all_ids(g), view, prio, Admission::Lossy); + EXPECT_EQ(lossy.members, lossless->members) << static_cast(kernel) << " " << static_cast(prio); + EXPECT_EQ(lossy.weights, lossless->weights) << static_cast(kernel) << " " << static_cast(prio); + } } TEST(Plans, SplitGraphPruning) { - // E1a: EqualBalanced with a zero-capacity tail. 0->1, 0->2, 1->3, 2->4 (cap 0), 4->3: the + // EqualBalanced with a zero-capacity tail. 0->1, 0->2, 1->3, 2->4 (cap 0), 4->3: the // branch through 2 cannot reach 3 over members, so it is pruned (no stranded unit). auto g = make_graph(5, {{0, 1, 2, 1}, {0, 2, 2, 1}, {1, 3, 2, 1}, {2, 4, 0, 1}, {4, 3, 2, 1}}); const auto inv = id_of_input(g); @@ -374,24 +606,23 @@ TEST(Plans, SplitGraphEqualsTheWalkDefinition) { // the source to a destination that enters no destination before its end: the members equal an // independent reachability computation, the route cost equals an independent shortest walk, // the topological structure orders every member's tail before its head, and an allocation - // conserves its total. make_plan on the DAG of the usable edges gives the same plan as - // make_route_plan filtering the bundle (the two entry points of the one builder). + // conserves its total and equals the per-node reference (each node's inflow split over its + // members by the kernel's rule). make_plan on the DAG of the usable edges gives the same plan as + // make_route_plan filtering the bundle (the two entry points of the one builder), for every + // kernel. MaxFlow's make_plan keeps every route edge, with no capacity filter: on the bundle + // itself its members are the walk definition over all the bundle's edges. std::mt19937 rng(2024); int compared = 0; + int maxflow_differs = 0; // trials where MaxFlow's members include an edge below one unit + int splitting = 0; // such plans with a split, and two destinations or a source other than 0 for (int trial = 0; trial < 2000; ++trial) { const int n = 3 + static_cast(rng() % 8); - std::vector edges; - for (int i = 0; i < 2 * n + static_cast(rng() % 10); ++i) { - const NodeId u = static_cast(rng() % static_cast(n - 1)); - const NodeId v = static_cast(u + 1 + rng() % static_cast(n - 1 - u)); - const Amount cap = (rng() % 6) == 0 ? 0 : 1 + static_cast(rng() % 9); - edges.push_back({u, v, cap, 1 + static_cast(rng() % 4)}); - } - auto g = make_graph(n, edges); - std::vector all(static_cast(g.num_edges())); - std::iota(all.begin(), all.end(), 0); + auto g = make_graph(n, random_dag_edges( + rng, n, 2 * n + static_cast(rng() % 10), + [&] { return (rng() % 6) == 0 ? Amount {0} : 1 + static_cast(rng() % 9); }, + [&] { return 1 + static_cast(rng() % 4); })); std::vector in_bundle; - for (EdgeId e : all) { + for (EdgeId e : all_ids(g)) { if ((rng() % 5) != 0) in_bundle.push_back(e); } const auto bundle = PredDAGBuilder::of_edges(g, in_bundle); @@ -408,7 +639,7 @@ TEST(Plans, SplitGraphEqualsTheWalkDefinition) { std::vector xn; std::vector xe; if ((rng() % 2) == 0) xn.push_back(static_cast(rng() % static_cast(n))); - for (EdgeId e : all) { + for (EdgeId e : all_ids(g)) { if ((rng() % 7) == 0) xe.push_back(e); } elig = g.eligibility(xn, xe); @@ -421,33 +652,18 @@ TEST(Plans, SplitGraphEqualsTheWalkDefinition) { for (EdgeId e : PredDAGBuilder::ascending(bundle)) { if (capacity[static_cast(e)] >= 1 && (!elig || elig->edge_ok(e))) usable.push_back(e); } - // The definition: forward from src and backward from the destinations over the usable edges - // that leave no destination, by fixpoint; the shortest walk by Bellman-Ford over the same. + // The definition over the usable edges; the shortest walk by Bellman-Ford over those that + // leave no destination. std::vector is_dst(static_cast(n), 0); for (NodeId d : dsts) is_dst[static_cast(d)] = 1; - std::vector open; - for (EdgeId e : usable) { - if (is_dst[static_cast(edge_src[static_cast(e)])] == 0) open.push_back(e); - } - std::vector fwd(static_cast(n), 0), bwd(static_cast(n), 0); - fwd[static_cast(src)] = 1; - for (NodeId d : dsts) bwd[static_cast(d)] = 1; + const auto want = walk_members(g, usable, src, dsts); std::vector dist(static_cast(n), kUnreachable); dist[static_cast(src)] = 0; for (int round = 0; round < n; ++round) { - for (EdgeId e : open) { + for (EdgeId e : usable) { const auto u = static_cast(edge_src[static_cast(e)]); const auto v = static_cast(edge_dst[static_cast(e)]); - if (fwd[u] != 0) fwd[v] = 1; - if (bwd[v] != 0) bwd[u] = 1; - if (dist[u] != kUnreachable) dist[v] = std::min(dist[v], dist[u] + cost[static_cast(e)]); - } - } - std::vector want; - for (EdgeId e : open) { - if (fwd[static_cast(edge_src[static_cast(e)])] != 0 && - bwd[static_cast(edge_dst[static_cast(e)])] != 0) { - want.push_back(e); + if (is_dst[u] == 0 && dist[u] != kUnreachable) dist[v] = std::min(dist[v], dist[u] + cost[static_cast(e)]); } } Cost want_cost = kUnreachable; @@ -455,7 +671,14 @@ TEST(Plans, SplitGraphEqualsTheWalkDefinition) { for (NodeId d : dsts) want_cost = std::min(want_cost, dist[static_cast(d)]); } const auto usable_dag = PredDAGBuilder::of_edges(g, usable); - for (const auto kernel : {FlowPlacement::EqualBalanced, FlowPlacement::Weighted}) { + const auto bundle_edges = PredDAGBuilder::ascending(bundle); + const auto maxflow_want = walk_members(g, std::vector(bundle_edges.begin(), bundle_edges.end()), src, dsts); + EXPECT_EQ(make_plan(g, FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Capacity, src, dsts, bundle, {}) + .members, + maxflow_want) + << "trial " << trial; + maxflow_differs += maxflow_want != want ? 1 : 0; + for (const auto kernel : {FlowPlacement::EqualBalanced, FlowPlacement::Weighted, FlowPlacement::MaxFlow}) { Cost got_cost = -1; const auto on_bundle = make_route_plan(g, kernel, Admission::Lossless, EdgePriority::Capacity, src, dsts, bundle, elig ? &*elig : nullptr, &got_cost); @@ -466,28 +689,13 @@ TEST(Plans, SplitGraphEqualsTheWalkDefinition) { Cost plan_cost = -1; const auto on_usable = make_plan(g, kernel, Admission::Lossless, EdgePriority::Capacity, src, dsts, usable_dag, {}, &plan_cost); - EXPECT_EQ(on_usable.members, on_bundle.members); - EXPECT_EQ(vec(on_usable.dsts), vec(on_bundle.dsts)); - EXPECT_EQ(vec(on_usable.topo), vec(on_bundle.topo)); - EXPECT_EQ(vec(on_usable.out_begin), vec(on_bundle.out_begin)); - EXPECT_EQ(vec(on_usable.out_end), vec(on_bundle.out_end)); - EXPECT_EQ(vec(on_usable.head_pos), vec(on_bundle.head_pos)); - EXPECT_EQ(vec(on_usable.terminal), vec(on_bundle.terminal)); - EXPECT_EQ(on_usable.weights, on_bundle.weights); - // The route cost is over the route (every usable edge), not only the members. - dist.assign(static_cast(n), kUnreachable); - dist[static_cast(src)] = 0; - for (int round = 0; round < n; ++round) { - for (EdgeId e : usable) { - const auto u = static_cast(edge_src[static_cast(e)]); - const auto v = static_cast(edge_dst[static_cast(e)]); - if (is_dst[u] == 0 && dist[u] != kUnreachable) dist[v] = std::min(dist[v], dist[u] + cost[static_cast(e)]); - } - } - Cost route_want = kUnreachable; - for (NodeId d : dsts) route_want = std::min(route_want, dist[static_cast(d)]); - EXPECT_EQ(plan_cost, route_want) << "trial " << trial; - EXPECT_EQ(route_cost(g, usable_dag, src, dsts), route_want) << "trial " << trial; // the cost pass alone + // The same plan but for its route, which is the whole usable DAG (plan_differences, + // test_utils.hpp). + EXPECT_EQ(plan_differences(on_usable, on_bundle, false), std::vector {}) << "trial " << trial; + // The plan built on the usable edges reports the same shortest-walk cost, and so does the + // cost pass alone. + EXPECT_EQ(plan_cost, want_cost) << "trial " << trial; + EXPECT_EQ(route_cost(g, usable_dag, src, dsts), want_cost) << "trial " << trial; if (on_bundle.members.empty()) continue; // Topology: the source first, every member's tail before its head, members of a node // consecutive. @@ -498,7 +706,16 @@ TEST(Plans, SplitGraphEqualsTheWalkDefinition) { EXPECT_GT(on_bundle.head_pos[static_cast(k)], static_cast(p)); } } - // Conservation: what enters the destinations is the total. + // Conservation: what enters the destinations is the total; and the per-node reference (node + // ids are a topological order; the members in ascending EdgeId, Weighted's weights the + // capacities). MaxFlow places by the flow core, not by alloc(T). + if (kernel == FlowPlacement::MaxFlow) continue; + std::vector> arcs; + std::vector weights; + for (EdgeId e : on_bundle.members) { + arcs.emplace_back(edge_src[static_cast(e)], edge_dst[static_cast(e)]); + weights.push_back(kernel == FlowPlacement::Weighted ? capacity[static_cast(e)] : 1); + } std::vector a(on_bundle.members.size()); for (Amount t : {Amount {1}, Amount {7}, Amount {50}}) { ASSERT_TRUE(allocate(on_bundle, t, a)); @@ -509,15 +726,25 @@ TEST(Plans, SplitGraphEqualsTheWalkDefinition) { } } EXPECT_EQ(delivered, t) << "trial " << trial; + EXPECT_EQ(a, per_node_reference(n, arcs, weights, t, src)) << "trial " << trial << " T " << t; + } + // What the single-destination tests below do not reach: a split at some node, with two + // destinations or a source other than node 0. + bool splits = false; + for (std::size_t p = 0; p < on_bundle.topo.size(); ++p) { + splits = splits || (on_bundle.terminal[p] == 0 && on_bundle.out_end[p] - on_bundle.out_begin[p] >= 2); } + splitting += splits && (dsts.size() > 1 || src != 0) ? 1 : 0; ++compared; } } EXPECT_GT(compared, 1000); + EXPECT_GT(maxflow_differs, 100); + EXPECT_GT(splitting, 300); } -TEST(Allocation, Review14SplitAndReconvergeEveryIntermediateValue) { - // Prototype 1 fixture apportion_house_monotone_dag: capacities 20 x weights, baseline view. +TEST(Allocation, SplitAndReconvergeMatchesThePerNodeReferenceAtEveryValue) { + // House monotonicity of the apportionment on a DAG: capacities 20 x weights, baseline view. const std::vector> dag = {{0, 1}, {0, 2}, {1, 3}, {1, 4}, {2, 3}, {2, 4}, {3, 5}, {4, 5}}; const std::vector w = {2, 7, 1, 4, 3, 2, 1, 1}; const std::vector view_in = {8, 20, 4, 9, 10, 10, 15, 15}; @@ -526,27 +753,10 @@ TEST(Allocation, Review14SplitAndReconvergeEveryIntermediateValue) { auto g = make_graph(6, edges); const auto view = to_ids(g, view_in); for (auto kernel : {FlowPlacement::Weighted, FlowPlacement::EqualBalanced}) { - // Independent per-node reference on input positions (node ids are topological). - auto ref = [&](Amount total) { - std::vector inflow(6, 0), out(dag.size(), 0); - inflow[0] = total; - for (NodeId u = 0; u < 5; ++u) { - std::vector mine; - for (std::size_t i = 0; i < dag.size(); ++i) { - if (dag[i].first == u) mine.push_back(i); - } - if (mine.empty() || inflow[static_cast(u)] == 0) continue; - std::vector ww; - for (auto i : mine) ww.push_back(w[i]); - const auto parts = kernel == FlowPlacement::Weighted ? ha_slow(inflow[static_cast(u)], ww) - : rr(inflow[static_cast(u)], mine.size()); - for (std::size_t j = 0; j < mine.size(); ++j) { - out[mine[j]] = parts[j]; - inflow[static_cast(dag[mine[j]].second)] += parts[j]; - } - } - return out; - }; + // The per-node reference on input positions (node ids are topological); EqualBalanced is the + // sequential definition with equal weights (ties to the lower index). + const auto weights = kernel == FlowPlacement::EqualBalanced ? std::vector(w.size(), 1) : w; + auto ref = [&](Amount total) { return per_node_reference(6, dag, weights, total); }; Amount brute = 0; for (Amount t = 0; t <= 100; ++t) { const auto a = ref(t); @@ -577,7 +787,7 @@ TEST(Allocation, Review14SplitAndReconvergeEveryIntermediateValue) { } TEST(Allocation, EqualBalancedOnePlusTwoEqualsThree) { - // Review-13 EB reconvergence DAG (prototype 1 apportion_house_monotone_dag, second part). + // EqualBalanced on a DAG that splits three ways at the source and reconverges at node 4. const std::vector> recon = {{0, 1}, {0, 2}, {0, 3}, {1, 4}, {2, 4}, {3, 4}, {4, 5}, {4, 6}, {5, 7}, {6, 7}}; std::vector edges; @@ -594,57 +804,79 @@ TEST(Allocation, EqualBalancedOnePlusTwoEqualsThree) { } TEST(Allocation, TMaxExactAgainstBruteForce) { + // Random DAGs from node 0 to node n - 1 (node ids topological). The reference is independent of + // the library: the members by the walk definition, alloc(T) node by node in id order, each + // node's inflow split over its members in ascending EdgeId by the sequential definition + // (capacities as Weighted's weights, equal weights for EqualBalanced), and T_max the last T + // whose allocation fits the view (the allocation is member-monotone, so the fitting T are a + // prefix). allocate() equals the reference at every T up to one past T_max, its limit answer + // agrees, and t_max returns that T. std::mt19937 rng(99); - int checked = 0; + int several = 0; // plans whose T_max is at least 2 units for (int trial = 0; trial < 400; ++trial) { const int n = 3 + static_cast(rng() % 5); - std::vector edges; - for (int i = 0; i < 2 * n + static_cast(rng() % 6); ++i) { - const NodeId u = static_cast(rng() % (n - 1)); - const NodeId v = static_cast(u + 1 + rng() % static_cast(n - 1 - u)); - edges.push_back({u, v, 1 + static_cast(rng() % 9), 1}); - } - auto g = make_graph(n, edges); + auto g = make_graph(n, random_dag_edges( + rng, n, 2 * n + static_cast(rng() % 6), + [&] { return 1 + static_cast(rng() % 9); }, [] { return Cost {1}; })); std::vector view(static_cast(g.num_edges())); for (std::size_t e = 0; e < view.size(); ++e) { view[e] = static_cast(rng() % static_cast(g.capacity_units()[e] + 1)); } const auto kernel = (rng() % 2) == 0 ? FlowPlacement::Weighted : FlowPlacement::EqualBalanced; const auto plan = plan_of(g, kernel, 0, {n - 1}, all_ids(g), caps(g), EdgePriority::Capacity); + ASSERT_EQ(plan.members, walk_members(g, all_ids(g), 0, {n - 1})) << "trial " << trial; if (plan.members.empty()) continue; + // The members as arcs in ascending EdgeId, with their weights. + std::vector> arcs; + std::vector weights; + for (EdgeId m : plan.members) { + const auto e = static_cast(m); + arcs.emplace_back(g.edge_src()[e], g.edge_dst()[e]); + weights.push_back(kernel == FlowPlacement::Weighted ? g.capacity_units()[e] : 1); + } + auto reference = [&](Amount total) { return per_node_reference(n, arcs, weights, total); }; const auto vm = on_members(plan, view); const auto tm = t_max(plan, vm); EXPECT_LE(tm.iterations, 62); - Amount brute = 0; - std::vector a(plan.members.size()); + Amount brute = -1; + std::vector a(plan.members.size()), limited(plan.members.size()); for (Amount t = 0; t <= 200; ++t) { - if (allocate(plan, t, a, vm)) brute = t; + const auto want = reference(t); + bool fits = true; + for (std::size_t k = 0; k < want.size(); ++k) fits = fits && want[k] <= vm[k]; + ASSERT_TRUE(allocate(plan, t, a)) << "trial " << trial << " T " << t; + ASSERT_EQ(a, want) << "trial " << trial << " T " << t; + ASSERT_EQ(allocate(plan, t, limited, vm), fits) << "trial " << trial << " T " << t; + if (!fits) break; + brute = t; } + ASSERT_GE(brute, 0); ASSERT_EQ(tm.value, brute) << "trial " << trial; - // At T_max some member is exactly full and the next unit overfills one. - ASSERT_TRUE(allocate(plan, brute, a, vm)); - std::vector next(plan.members.size()); - EXPECT_FALSE(allocate(plan, brute + 1, next, vm)); - ++checked; + several += tm.value >= 2 ? 1 : 0; } - EXPECT_GT(checked, 300); + EXPECT_GT(several, 60); } TEST(Allocation, TMaxSearchIsExactAndWithinTheProbeBudgetOnLargeRanges) { // Capacities and views up to 2^58 units (search ranges near 2^62 at the source): the seeded // search must return the same T as a plain bisection from 0 and probe at most 62 times, also // when its floating-point estimate is far off (a member capped near zero deep in the DAG). + // First cross-check the quotient-rank reference against the unit-by-unit definition, + // including ties. The large trials then use that reference at each node. + for (Amount total = 0; total < 50; ++total) { + for (const std::vector& weights : {std::vector {1, 1, 1}, {1, 3, 7}, {9, 2, 9, 1}}) { + ASSERT_EQ(ha_by_rank(total, weights), ha_slow(total, weights)); + } + } std::mt19937_64 rng(1234); - int checked = 0; + int large = 0; // T at least 2^40 + int far = 0; // T at most 2^-20 of the source side's capacity (the estimate far off) for (int trial = 0; trial < 300; ++trial) { const int n = 3 + static_cast(rng() % 6); - std::vector edges; - for (int i = 0; i < 2 * n + static_cast(rng() % 8); ++i) { - const NodeId u = static_cast(rng() % static_cast(n - 1)); - const NodeId v = static_cast(u + 1 + rng() % static_cast(n - 1 - u)); - edges.push_back({u, v, 1 + static_cast(rng() % (std::uint64_t {1} << 58)), 1}); - } - auto g = make_graph(n, edges); + auto g = make_graph(n, random_dag_edges( + rng, n, 2 * n + static_cast(rng() % 8), + [&] { return 1 + static_cast(rng() % (std::uint64_t {1} << 58)); }, + [] { return Cost {1}; })); std::vector view(static_cast(g.num_edges())); for (std::size_t e = 0; e < view.size(); ++e) { const Amount c = g.capacity_units()[e]; @@ -656,14 +888,26 @@ TEST(Allocation, TMaxSearchIsExactAndWithinTheProbeBudgetOnLargeRanges) { const auto vm = on_members(plan, view); const auto tm = t_max(plan, vm); EXPECT_LE(tm.iterations, 62); - // Reference: plain bisection on [0, hi] with the same exact predicate. + // Reference: each node splits by exact quotient rank, then plain bisection over feasible + // totals. No production allocation or search is used to compute an expected amount. Amount hi = 0; for (auto k = plan.src_out_begin; k < plan.src_out_end; ++k) hi += vm[static_cast(k)]; - std::vector a(plan.members.size()); + const Amount source_side = hi; + ASSERT_EQ(plan.members, walk_members(g, all_ids(g), 0, {n - 1})); + std::vector> arcs; + std::vector weights; + for (EdgeId edge : plan.members) { + const auto e = static_cast(edge); + arcs.emplace_back(g.edge_src()[e], g.edge_dst()[e]); + weights.push_back(kernel == FlowPlacement::Weighted ? g.capacity_units()[e] : 1); + } Amount lo = 0; while (lo < hi) { const Amount mid = lo + (hi - lo + 1) / 2; - if (allocate(plan, mid, a, vm)) lo = mid; else hi = mid - 1; + const auto a = per_node_reference(n, arcs, weights, mid, 0, true); + bool fits = true; + for (std::size_t j = 0; j < a.size(); ++j) fits = fits && a[j] <= vm[j]; + if (fits) lo = mid; else hi = mid - 1; } ASSERT_EQ(tm.value, lo) << "trial " << trial; // The Lossless step from T = 0 with a request beyond the maximum lands on the same T. @@ -671,14 +915,17 @@ TEST(Allocation, TMaxSearchIsExactAndWithinTheProbeBudgetOnLargeRanges) { const auto step = lossless_step(g, plan, 0, vm, zero, kDomainLimit - 1); EXPECT_EQ(step.total, lo); EXPECT_LE(step.iterations, 62); - ++checked; + large += lo >= (Amount {1} << 40) ? 1 : 0; + far += source_side >= (Amount {1} << 40) && lo <= (source_side >> 20) ? 1 : 0; } - EXPECT_GT(checked, 200); + EXPECT_GT(large, 10); + EXPECT_GT(far, 100); } TEST(MaxFlowKernel, CancellationDagGivesTwo) { - // Review-5 V3 (prototype 1 maxflow_cancellation_dag): place(1) takes 0-1-3-5, the next - // place(1) re-solves on V = W + own and returns the unique value-2 flow (1->3 goes to 0). + // A DAG where the second unit needs the first one's edge 1->3 cancelled: place(1) takes + // 0-1-3-5, the next place(1) re-solves on V = W + own and returns the unique value-2 flow (1->3 + // goes to 0). const std::vector> pairs = {{0, 1}, {0, 2}, {1, 3}, {1, 4}, {2, 3}, {3, 5}, {4, 5}}; std::vector edges; for (auto [u, v] : pairs) edges.push_back({u, v, 1, 1}); @@ -698,7 +945,7 @@ TEST(MaxFlowKernel, CancellationDagGivesTwo) { namespace { -// Review-9 witness edges (prototype 1 CANCEL_EDGES): s=0; A=1, B=2, C=3; X=4, Y=5; t=6. +// A graph whose minimum-cost flow cancels earlier flow: s=0; A=1, B=2, C=3; X=4, Y=5; t=6. std::vector cancel_edges(Cost b_to_y = 9) { return {{0, 1, 1, 1}, {0, 2, 1, 1}, {0, 3, 1, 1}, {1, 4, 1, 2}, {1, 5, 1, 9}, {2, 4, 1, 1}, {2, 5, 1, b_to_y}, {3, 4, 1, 3}, {4, 6, 2, 1}, {5, 6, 1, 1}}; @@ -731,8 +978,9 @@ TEST(MaxFlowKernel, CancelUpstreamMixedCost) { EXPECT_EQ(cost, 19); } -TEST(MaxFlowKernel, EqualOptimumControlFollowsBPrimeArcOrder) { - // Rule-20 control: with cost(B->Y) = 8 two value-3 optima cost 19; ascending B' arcs pick the +TEST(MaxFlowKernel, EqualOptimaFollowTheAscendingEdgeIdOrder) { + // Ties between equal optima follow the arc order (ascending EdgeId): + // with cost(B->Y) = 8 two value-3 optima cost 19; ascending arcs pick the // flow with Y fed by A, so a later demand on A->X still finds its unit. auto g = make_graph(7, cancel_edges(8)); const auto plan = plan_of(g, FlowPlacement::MaxFlow, 0, {6}, all_ids(g), caps(g)); @@ -758,15 +1006,230 @@ TEST(MaxFlowKernel, ReleaseWitnessAndMixedCostBundle) { auto s3 = lossless_step(g, plan, 1, v, s1.alloc, 0); EXPECT_EQ(s3.total, 1); EXPECT_EQ(dense_input(g, plan, s3.alloc), (std::vector{0, 1})); - // Review-13 D4: on a mixed-cost bundle the 1 + 1 + 1 chain fills before the cost-4 edge. + // On a mixed-cost bundle the 1 + 1 + 1 chain fills before the cost-4 edge. auto g2 = make_graph(4, {{0, 1, 1, 1}, {1, 2, 1, 1}, {2, 3, 1, 1}, {0, 3, 1, 4}}); const auto p2 = plan_of(g2, FlowPlacement::MaxFlow, 0, {3}, all_ids(g2), caps(g2)); EXPECT_EQ(dense_input(g2, p2, first_step(g2, p2, caps(g2), 1).alloc), (std::vector{1, 1, 1, 0})); EXPECT_EQ(cost_of(g2, p2), 3); } +namespace { + +// The certificate of one MaxFlow-kernel step, independent of the solver: the step's member +// allocation, as a flow on the graph with the members' view and every other edge masked, is +// feasible and conserved from the plan's source to its destinations, has the value +// min(total + request, F_max) (the maximum for a request of +inf) and the minimum cost at that +// value, and its curve has the flow's total and moment and the optimum's cost at every value up +// to it (the curve clauses shared with certify, test_utils.hpp). The optimum is the exhaustive +// one (`tier_a`, small graphs) or the independent Bellman-Ford curve (test_utils.hpp). The +// checker relies on the members lying on walks from the source to its destinations, which end +// there, so that no member enters the source or leaves a destination: the random test below +// checks each plan's members against that walk definition first. Returns the failed clauses. +std::vector certify_step(const Graph& g, const KernelPlan& plan, const std::vector& view_m, + Amount total, std::optional request, const LosslessStep& step, + bool tier_a) { + std::vector fails; + if (step.alloc.size() != plan.members.size()) { + fails.push_back("shape"); + return fails; + } + const auto m = static_cast(g.num_edges()); + const auto n = static_cast(g.num_nodes()); + std::vector view(m, 0); + std::vector flow(m, 0); + std::vector member(m, 0); + for (std::size_t k = 0; k < plan.members.size(); ++k) { + const auto e = static_cast(plan.members[k]); + member[e] = 1; + view[e] = view_m[k]; + flow[e] = step.alloc[k]; + if (step.alloc[k] < 0 || step.alloc[k] > view_m[k]) fails.push_back("feasibility at member " + std::to_string(k)); + } + std::vector outside; + for (std::size_t e = 0; e < m; ++e) { + if (member[e] == 0) outside.push_back(static_cast(e)); + } + const auto mask = g.eligibility({}, outside); + std::vector bal(n, 0); + for (std::size_t e = 0; e < m; ++e) { + bal[static_cast(g.edge_src()[e])] -= flow[e]; + bal[static_cast(g.edge_dst()[e])] += flow[e]; + } + const Int128 moment = flow_cost(g, flow); + const std::vector src = {plan.src}; + const std::vector dsts(plan.dsts.begin(), plan.dsts.end()); + Int128 inflow = 0; + for (std::size_t v = 0; v < n; ++v) { + if (static_cast(v) == plan.src) continue; + if (std::find(dsts.begin(), dsts.end(), static_cast(v)) != dsts.end()) { + inflow += bal[v]; + } else if (bal[v] != 0) { + fails.push_back("conservation at node " + std::to_string(v)); + } + } + if (-bal[static_cast(plan.src)] != step.total || inflow != step.total) { + fails.push_back("value differs from supply or inflow"); + } + // The optimum's cost at every value up to F_max, as breakpoints. + std::vector> optimum; + if (tier_a) { + for (const auto& [x, c] : exhaustive_costs(g, view, src, dsts, &mask)) optimum.emplace_back(x, c); + } else { + optimum = independent_curve(g, view, src, dsts, &mask); + } + const Amount fmax = optimum.back().first; + const Amount top = request.has_value() ? std::min(total + *request, fmax) : fmax; + if (step.total != top) fails.push_back("placed differs from min(cap, F_max)"); + if (step.total >= 0 && step.total <= fmax && moment != curve_at(optimum, step.total)) { + fails.push_back("cost differs from the optimum"); + } + const auto pts = curve_shape_clauses(step.cost_distribution, step.total, moment, fails); + curve_optimum_clause(pts, optimum, std::min(step.total, fmax), "the optimum", fails); + return fails; +} + +} // namespace + +TEST(MaxFlowKernel, StepCertificateRejectsMutatedSteps) { + // The step certificate is not vacuous: each clean step certifies, then each mutation is rejected + // by the clause it breaks. + using Fails = std::vector; + auto mutated = [](const Graph& g, const KernelPlan& plan, std::optional request, + const std::function& mutate) { + const auto vm = on_members(plan, caps(g)); + auto step = first_step(g, plan, caps(g), request); + EXPECT_TRUE(certify_step(g, plan, vm, 0, request, step, true).empty()); + mutate(step); + return certify_step(g, plan, vm, 0, request, step, true); + }; + // The chain 0 -> 1 -> 2 of capacity 2: two units, members in chain order. + const auto chain = make_graph(3, {{0, 1, 2, 1}, {1, 2, 2, 1}}); + const auto cp = plan_of(chain, FlowPlacement::MaxFlow, 0, {2}, all_ids(chain), caps(chain)); + ASSERT_EQ(cp.members.size(), 2U); + EXPECT_EQ(mutated(chain, cp, std::nullopt, [](auto& s) { s.alloc.push_back(0); }), Fails {"shape"}); + EXPECT_TRUE(has_failure(mutated(chain, cp, std::nullopt, [](auto& s) { s.alloc = {3, 3}; }), "feasibility at member 0")); + EXPECT_TRUE(has_failure(mutated(chain, cp, std::nullopt, [](auto& s) { s.alloc = {-1, -1}; }), "feasibility at member 0")); + // One unit less into node 1 lowers the supply only, one unit less out of it the inflow only. + for (const std::size_t k : {std::size_t {0}, std::size_t {1}}) { + const auto f = mutated(chain, cp, std::nullopt, [&](auto& s) { s.alloc[k] = 1; }); + EXPECT_TRUE(has_failure(f, "conservation at node 1")) << k; + EXPECT_TRUE(has_failure(f, "value differs from supply or inflow")) << k; + } + // A capped step (request 1) certified as if the request were 2: the value alone differs. + { + const auto vm = on_members(cp, caps(chain)); + const auto step = first_step(chain, cp, caps(chain), 1); + EXPECT_EQ(certify_step(chain, cp, vm, 0, 2, step, true), Fails {"placed differs from min(cap, F_max)"}); + } + // Parallel members of cost 1 and 3 and capacity 1: the first unit on the cheap one, the curve + // [(1, 1), (3, 1)] for both. The unit moved to the costly member keeps the value; the curve's + // last volume raised breaks its total; its first cost raised breaks its moment; the one tier + // [(2, 2)] keeps the total and the moment but not the optimum at 1. + const auto par = make_graph(2, {{0, 1, 1, 1}, {0, 1, 1, 3}}); + const auto pp = plan_of(par, FlowPlacement::MaxFlow, 0, {1}, all_ids(par), caps(par)); + ASSERT_EQ(pp.members.size(), 2U); + EXPECT_TRUE(has_failure(mutated(par, pp, 1, [](auto& s) { s.alloc = {0, 1}; }), "cost differs from the optimum")); + EXPECT_TRUE(has_failure(mutated(par, pp, std::nullopt, [](auto& s) { s.cost_distribution = {{1, 1}, {3, 2}}; }), + "curve total differs from placed")); + EXPECT_TRUE(has_failure(mutated(par, pp, std::nullopt, [](auto& s) { s.cost_distribution = {{2, 1}, {3, 1}}; }), + "curve moment differs from the flow cost")); + EXPECT_EQ(mutated(par, pp, std::nullopt, [](auto& s) { s.cost_distribution = {{2, 2}}; }), + Fails {"curve differs from the optimum at 1"}); + // The curve's shape, each the only failure: an entry of volume 0 between the two (total, moment + // and the curve's values unchanged), and the chain's one tier [(2, 2)] split in two at its cost. + EXPECT_EQ(mutated(par, pp, std::nullopt, [](auto& s) { s.cost_distribution = {{1, 1}, {2, 0}, {3, 1}}; }), + Fails {"curve volume not positive"}); + EXPECT_EQ(mutated(chain, cp, std::nullopt, [](auto& s) { s.cost_distribution = {{2, 1}, {2, 1}}; }), + Fails {"curve costs not strictly increasing"}); + // The guard of the replacement solve: a committed total beyond what the view can carry. + const auto vm = on_members(pp, caps(par)); + const std::vector own(pp.members.size(), 0); + try { + (void)lossless_step(par, pp, 3, vm, own, 1); + ADD_FAILURE() << "no exception"; + } catch (const std::logic_error& e) { + EXPECT_STREQ(e.what(), "MaxFlow kernel: the replacement solve lost committed flow"); + } +} + +TEST(MaxFlowKernel, RandomStepsAreCertifiedOnTheirSubset) { + // Random DAG plans (nonuniform costs, parallel edges, a route that is a random subset of the + // edges, one or two destinations), each placed in three steps on a changing view V = W + own (W + // drawn below the capacity left beside the flow's own allocation) with a request of +inf, 0 or + // a few units: every step certified on its member subset (the other edges masked), the small + // graphs against the exhaustive optimum, the others against the independent solver. The same + // steps with every cost multiplied give the same allocations and the curve's costs multiplied. + std::mt19937_64 rng(5005); + int positive = 0; // steps that place + int capped = 0; // steps stopped by their request below the maximum + int cancelled = 0; // steps that take back part of the flow's own allocation + for (int trial = 0; trial < 400; ++trial) { + const bool tier_a = trial % 2 == 0; + const int n = tier_a ? 3 + static_cast(rng() % 4) : 6 + static_cast(rng() % 9); + const int m = tier_a ? 3 + static_cast(rng() % 5) : n + static_cast(rng() % (2 * n)); + const Amount max_cap = tier_a ? 2 : 40; + const Cost max_cost = tier_a ? 6 : 40; + const auto edges = random_dag_edges( + rng, n, m, [&] { return static_cast(rng() % static_cast(max_cap + 1)); }, + [&] { return static_cast(1 + rng() % static_cast(max_cost)); }); + const auto g = make_graph(n, edges); + auto scaled_edges = edges; + for (auto& e : scaled_edges) e.cost *= 1000003; + const auto scaled = make_graph(n, scaled_edges); + std::vector route; + for (EdgeId e = 0; e < g.num_edges(); ++e) { + if (rng() % 5 != 0) route.push_back(e); + } + std::vector dsts = {n - 1}; + if (rng() % 2 == 0) dsts.insert(dsts.begin(), n - 2); + const auto plan = plan_of(g, FlowPlacement::MaxFlow, 0, dsts, route, caps(g)); + ASSERT_EQ(plan.members, walk_members(g, route, 0, dsts)) << "trial " << trial; // every route edge on a walk + const auto scaled_plan = plan_of(scaled, FlowPlacement::MaxFlow, 0, dsts, route, caps(scaled)); + ASSERT_EQ(scaled_plan.members, plan.members) << "trial " << trial; // scaling keeps the EdgeId order + std::vector own(plan.members.size(), 0); + Amount total = 0; + for (int k = 0; k < 3; ++k) { + std::vector vm(plan.members.size()); + for (std::size_t j = 0; j < vm.size(); ++j) { + const Amount cap = g.capacity_units()[static_cast(plan.members[j])]; + vm[j] = own[j] + static_cast(rng() % static_cast(cap - own[j] + 1)); + } + const std::uint64_t kind = rng() % 4; + const std::optional request = + kind == 0 ? std::nullopt : std::optional(static_cast(kind == 1 ? 0 : rng() % 4)); + const auto step = lossless_step(g, plan, total, vm, own, request); + const std::string where = "trial " + std::to_string(trial) + " step " + std::to_string(k); + const auto fails = certify_step(g, plan, vm, total, request, step, tier_a); + ASSERT_TRUE(fails.empty()) << where << ": " << fails.front(); + const auto other = lossless_step(scaled, scaled_plan, total, vm, own, request); + ASSERT_EQ(other.total, step.total) << where; + ASSERT_EQ(other.alloc, step.alloc) << where; + ASSERT_EQ(other.cost_distribution.size(), step.cost_distribution.size()) << where; + for (std::size_t i = 0; i < step.cost_distribution.size(); ++i) { + ASSERT_EQ(other.cost_distribution[i].first, step.cost_distribution[i].first * 1000003) << where; + ASSERT_EQ(other.cost_distribution[i].second, step.cost_distribution[i].second) << where; + } + positive += step.total > 0 ? 1 : 0; + const Amount fmax = independent_curve(g, [&] { + std::vector view(static_cast(g.num_edges()), 0); + for (std::size_t j = 0; j < vm.size(); ++j) view[static_cast(plan.members[j])] = vm[j]; + return view; + }(), std::vector {0}, dsts, nullptr).back().first; + capped += request.has_value() && step.total < fmax ? 1 : 0; + bool took_back = false; + for (std::size_t j = 0; j < own.size(); ++j) took_back = took_back || step.alloc[j] < own[j]; + cancelled += took_back ? 1 : 0; + own = step.alloc; + total = step.total; + } + } + EXPECT_GT(positive, 240); + EXPECT_GT(capped, 150); + EXPECT_GT(cancelled, 30); +} + TEST(WeightedKernel, CapacityVersusResidualMembershipAfterOccupancy) { - // Prototype 1 weighted_capacity_vs_residual_after_occupancy: parallel links [4, 4], another + // Weighted membership by capacity versus residual after occupancy: parallel links [4, 4], another // owner holds 3 on link 0 (residual [1, 4]). auto g = make_graph(2, {{0, 1, 4, 1}, {0, 1, 4, 1}}); auto run = [&](EdgePriority prio, std::vector residual_in, Amount request) { @@ -793,7 +1256,7 @@ TEST(WeightedKernel, CapacityVersusResidualMembershipAfterOccupancy) { } TEST(WeightedKernel, OnePlusFiveEqualsSix) { - // Additivity on a fixed plan (prototype 1 weighted_1_plus_5_vs_6): weights 2 and 6 at the + // Additivity on a fixed plan (place(1) then place(5) equals place(6)): weights 2 and 6 at the // source. auto g = make_graph(3, {{0, 1, 2, 1}, {0, 2, 6, 1}, {1, 2, 9, 1}}); const auto plan = plan_of(g, FlowPlacement::Weighted, 0, {2}, all_ids(g), caps(g), EdgePriority::Capacity); @@ -802,12 +1265,19 @@ TEST(WeightedKernel, OnePlusFiveEqualsSix) { auto a = lossless_step(g, plan, 0, vm, zero, 1); auto b = lossless_step(g, plan, a.total, vm, a.alloc, 5); auto c = lossless_step(g, plan, 0, vm, zero, 6); + // By hand, D'Hondt over the source weights [2, 6] (each unit to the larger w / (a + 1), ties to + // the lower index): the first unit to 0 -> 2; 6 units give [1, 5] (the third unit is the tie + // 2 / 1 = 6 / 3), and node 1 passes its unit on over 1 -> 2. Every amount fits its capacity, + // so all 6 are placed. + EXPECT_EQ(dense_input(g, plan, a.alloc), (std::vector{0, 1, 0})); + EXPECT_EQ(c.total, 6); + EXPECT_EQ(dense_input(g, plan, c.alloc), (std::vector{1, 5, 1})); EXPECT_EQ(b.total, c.total); EXPECT_EQ(b.alloc, c.alloc); } TEST(LossyKernel, DiamondDropsAndInfiniteInjection) { - // Prototype 1 lossy_diamond: source links 10/10, tails 1/10. + // A Lossy diamond: source links 10/10, tails 1/10. auto g = make_graph(4, {{0, 1, 10, 1}, {0, 2, 10, 1}, {1, 3, 1, 1}, {2, 3, 10, 1}}); for (auto kernel : {FlowPlacement::EqualBalanced, FlowPlacement::Weighted}) { const auto plan = plan_of(g, kernel, 0, {3}, all_ids(g), caps(g), EdgePriority::Residual, Admission::Lossy); @@ -825,7 +1295,7 @@ TEST(LossyKernel, DiamondDropsAndInfiniteInjection) { EXPECT_EQ(dense_input(g, plan, inf.drops), (std::vector{0, 0, 9, 0})); } // Highest averages at every node for Lossy Weighted: Capacity weights [1, 3, 3] split 7 as - // [1, 3, 3] (prototype 1 lossy_weighted_highest_averages). + // [1, 3, 3]. auto g2 = make_graph(2, {{0, 1, 1, 1}, {0, 1, 3, 1}, {0, 1, 3, 1}}); const auto p2 = plan_of(g2, FlowPlacement::Weighted, 0, {1}, all_ids(g2), caps(g2), EdgePriority::Capacity, Admission::Lossy); @@ -841,3 +1311,61 @@ TEST(LossyKernel, DiamondDropsAndInfiniteInjection) { EXPECT_EQ(s3.injected, 0); EXPECT_EQ(s3.delivered, 0); } + +// Lossy steps on random DAGs (parallel arcs, zero capacities, one or two destinations, a +// destination reached through another), both kernels, finite offers and +inf, against the +// per-node reference: every member's carried amount and drop, the injection, the delivery and +// the offer. The members are first checked against the walk definition, so the reference reads +// the same split graph. +TEST(LossyKernel, RandomStepsEqualThePerNodeReference) { + std::mt19937 rng(1915); + int weighted_transit_drops = 0; // Weighted steps that drop at a node other than the source + int balanced_transit_drops = 0; // the same for EqualBalanced + int infinite = 0; // +inf offers that injected something + int delivering = 0; // steps that delivered something + for (int trial = 0; trial < 1000; ++trial) { + const int n = 3 + static_cast(rng() % 6); + const auto edges = random_dag_edges( + rng, n, n + static_cast(rng() % 10), + [&] { return (rng() % 6) == 0 ? Amount {0} : 1 + static_cast(rng() % 6); }, + [&] { return 1 + static_cast(rng() % 3); }); + auto g = make_graph(n, edges); + std::vector dsts = {static_cast(n - 1)}; + if (rng() % 3 == 0) dsts.insert(dsts.begin(), static_cast(1 + rng() % static_cast(n - 2))); + const bool weighted = trial % 2 == 1; + const auto kernel = weighted ? FlowPlacement::Weighted : FlowPlacement::EqualBalanced; + const auto plan = plan_of(g, kernel, 0, dsts, all_ids(g), caps(g), EdgePriority::Capacity, Admission::Lossy); + std::vector usable; + for (EdgeId e : all_ids(g)) { + if (g.capacity_units()[static_cast(e)] >= 1) usable.push_back(e); + } + ASSERT_EQ(plan.members, walk_members(g, usable, 0, dsts)) << "trial " << trial; + std::vector> arcs; + std::vector weights, residual; + for (EdgeId e : plan.members) { + const auto k = static_cast(e); + arcs.emplace_back(g.edge_src()[k], g.edge_dst()[k]); + weights.push_back(g.capacity_units()[k]); + residual.push_back(static_cast(rng() % static_cast(g.capacity_units()[k] + 1))); + } + const std::optional offer = + rng() % 4 == 0 ? std::nullopt : std::optional(static_cast(rng() % 25)); + const auto s = lossy_step(plan, offer, residual); + const auto want = lossy_reference(n, arcs, weights, residual, weighted, offer, 0, dsts); + const std::string where = "trial " + std::to_string(trial); + EXPECT_EQ(s.carried, want.carried) << where; + EXPECT_EQ(s.drops, want.drops) << where; + EXPECT_EQ(s.injected, want.injected) << where; + EXPECT_EQ(s.delivered, want.delivered) << where; + EXPECT_EQ(s.offered, offer.value_or(want.injected)) << where; + bool transit_drop = false; + for (std::size_t i = 0; i < arcs.size(); ++i) transit_drop = transit_drop || (arcs[i].first != 0 && want.drops[i] > 0); + (weighted ? weighted_transit_drops : balanced_transit_drops) += transit_drop ? 1 : 0; + infinite += !offer.has_value() && want.injected > 0 ? 1 : 0; + delivering += want.delivered > 0 ? 1 : 0; + } + EXPECT_GT(weighted_transit_drops, 0); + EXPECT_GT(balanced_transit_drops, 0); + EXPECT_GT(infinite, 0); + EXPECT_GT(delivering, 0); +} diff --git a/tests/cpp/ksp_tests.cpp b/tests/cpp/ksp_tests.cpp index 9218f1b..678da32 100644 --- a/tests/cpp/ksp_tests.cpp +++ b/tests/cpp/ksp_tests.cpp @@ -1,9 +1,12 @@ -// KSP (APPROACH 6, rule 10) and resolve_to_paths (APPROACH 5): prototype 6's witnesses (the -// review-12 C2 and three-hop graphs, the review-13 priority-suffix trap, the prefix-capped spur, -// the parallel root under Expand and Collapse, the four-edge graph, the zero-capacity tie order, -// the static ceiling on chain-plus-bypasses), k = 1 against the forward and reverse single path, -// and agreement with exhaustive enumeration (search_reference.hpp) on random graphs; the -// resolver's order, splitting and truncation against an enumeration of every walk of a DAG. +// KSP and resolve_to_paths (docs/semantics.md#k-shortest-paths): the witness graphs (hand-built +// examples: the diamond and the three-hop graph, whose first path is the canonical single path +// of the forward and the reverse search; a shared bottleneck that leaves the fewest hops first; the prefix-capped spur; a +// candidate's bottleneck including its prefix; parallel members under Expand and Collapse; +// accepted paths that never return after a shared prefix; zero-capacity edges; the ceilings on +// chain-plus-bypasses and the exact Stretch ceiling at large costs and factors), the defects in the contract order, and agreement with exhaustive +// enumeration (search_reference.hpp) on random graphs; the resolver's order, splitting and +// truncation against an enumeration of every walk of a DAG, from either search direction and on +// long chains. #include #include @@ -14,7 +17,6 @@ #include #include #include -#include #include #include @@ -33,17 +35,8 @@ PathSelection sel(bool multi_edge = true, EdgeTieBreak tie = EdgeTieBreak::Deter return PathSelection(tie, prio, true, multi_edge); } -std::string error_of(const std::function& fn) { - try { - fn(); - } catch (const std::invalid_argument& e) { - return e.what(); - } - return ""; -} - -// Rows (u, v, capacity, cost) given in B' order (sorted by (src, cost, dst)), so ids are the -// input positions, as prototype 6's b() arranges. +// A graph from rows (u, v, capacity, cost), stable-sorted by (src, cost, dst) first: that is the +// EdgeId order, so each EdgeId is the row's position in the sorted list. Graph bgraph(std::int32_t n, std::vector rows) { std::stable_sort(rows.begin(), rows.end(), [](const InEdge& a, const InEdge& b) { return std::tie(a.u, a.cost, a.v) < std::tie(b.u, b.cost, b.v); @@ -87,20 +80,20 @@ std::vector costs_of(const std::vector>& r) { } // namespace -TEST(Ksp, Review12AndTheSinglePathFromBothDirections) { - auto c2 = bgraph(4, {{0, 1, 1, 9}, {0, 2, 1, 1}, {1, 3, 1, 1}, {2, 3, 1, 9}}); +TEST(Ksp, FirstPathIsTheCanonicalSinglePathOfBothDirections) { + auto diamond = bgraph(4, {{0, 1, 1, 9}, {0, 2, 1, 1}, {1, 3, 1, 1}, {2, 3, 1, 9}}); auto three = bgraph(6, {{0, 2, 1, 1}, {2, 3, 1, 1}, {3, 5, 1, 1}, {0, 1, 1, 1}, {1, 4, 1, 1}, {4, 5, 1, 1}}); struct Case { const Graph* g; NodeId t; std::vector want; }; - for (const auto& c : {Case {&c2, 3, {0, 2, 3}}, Case {&three, 5, {0, 1, 4, 5}}}) { + for (const auto& c : {Case {&diamond, 3, {0, 2, 3}}, Case {&three, 5, {0, 1, 4, 5}}}) { for (auto tie : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { auto got = run(*c.g, 0, c.t, 2, sel(true, tie)); ASSERT_EQ(got.size(), 2U); EXPECT_EQ(nodes_of(*c.g, got[0].second), c.want); - // k = 1 is the canonical single path of the forward and the reverse search. + // The first path is the canonical single path of the forward and the reverse search. SpfOptions f(Direction::Forward, PathSelection(tie, EdgePriority::Residual, false)); f.targets = std::vector {c.t}; SpfOptions r(Direction::Reverse, PathSelection(tie, EdgePriority::Residual, false)); @@ -109,7 +102,6 @@ TEST(Ksp, Review12AndTheSinglePathFromBothDirections) { auto rv = spf(*c.g, std::vector {c.t}, r); auto w = walk_of(got[0].second); std::sort(w.begin(), w.end()); - EXPECT_EQ(std::vector(fw.dag.via_edges().begin(), fw.dag.via_edges().end()).size(), w.size()); auto fe = std::vector(fw.dag.via_edges().begin(), fw.dag.via_edges().end()); auto re = std::vector(rv.dag.via_edges().begin(), rv.dag.via_edges().end()); std::sort(fe.begin(), fe.end()); @@ -120,7 +112,7 @@ TEST(Ksp, Review12AndTheSinglePathFromBothDirections) { } } -TEST(Ksp, Review13PrioritySuffixTrap) { +TEST(Ksp, WithASharedBottleneckTheFewestHopsComeFirst) { auto g = bgraph(5, {{0, 1, 1, 1}, {1, 4, 1, 3}, {1, 2, 2, 1}, {2, 3, 2, 1}, {3, 4, 2, 1}}); auto got = run(g, 0, 4, 1, sel(true, EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity)); ASSERT_EQ(got.size(), 1U); @@ -143,7 +135,7 @@ TEST(Ksp, CandidateBottleneckIncludesThePrefix) { // 0-2-3 (bottleneck 5); at 1, the prefix 0-1 then the second 1-3 edge (the spur alone has // bottleneck 10, the candidate min(1, 10) = 1). PreferHigherPriority orders 0-2-3 first; a // candidate keyed by its spur's bottleneck alone would put the prefix's deviation first. - // Deterministic orders the two by B' ids: 0-1-3 (ids 0, 3) before 0-2-3 (ids 1, 4). + // Deterministic orders the two by EdgeIds: 0-1-3 (ids 0, 3) before 0-2-3 (ids 1, 4). auto g = bgraph(4, {{0, 1, 1, 1}, {1, 3, 10, 1}, {0, 2, 5, 1}, {2, 3, 5, 2}, {1, 3, 10, 2}}); auto prefer = run(g, 0, 3, 8, sel(true, EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity)); ASSERT_EQ(costs_of(prefer), (std::vector {2, 3, 3})); @@ -173,6 +165,77 @@ TEST(Ksp, ParallelMembersUnderExpandAndCollapse) { EXPECT_EQ(costs_of(run(fe, 0, 2, 8, sel(false))), (std::vector{3})); } +TEST(Ksp, AcceptedPathsNeverReturnAfterASharedPrefix) { + // A candidate goes into the pending set without a search of the accepted + // paths, because each accepted path with the spur's prefix has its next edge (Expand) or its + // next transition (Collapse) banned at the spur. Spurs here share their prefix with one or two + // accepted paths at once, over parallel members; every path comes once, in the derived order. + // EdgeIds: 0, 1: 0->1 (1); 2: 0->2 (3); 3: 1->2 (1); 4, 5: 1->3 (1); 6: 2->3 (1). + auto g = bgraph(4, {{0, 1, 1, 1}, {0, 1, 1, 1}, {0, 2, 1, 3}, {1, 2, 1, 1}, {1, 3, 1, 1}, {1, 3, 1, 1}, {2, 3, 1, 1}}); + auto walks = [](const std::vector>& r) { + std::vector> out; + for (const auto& [c, p] : r) out.push_back(walk_of(p)); + return out; + }; + // Expand, derived by hand from the deviations: [0, 4] first; its spurs give [1, 4] and [0, 5]. + // After [0, 5] the spur at node 1 bans 4 and 5 (both accepted paths share the prefix [0]) and + // finds [0, 3, 6]; the spur at node 0 bans 0 (twice) and finds [1, 4] again (pending: kept + // once). [1, 4] adds [2, 6] and [1, 5]; [1, 5] adds [1, 3, 6]; the rest add nothing new. + const auto expand = run(g, 0, 3, 16, sel()); + EXPECT_EQ(walks(expand), (std::vector> {{0, 4}, {0, 5}, {1, 4}, {1, 5}, {0, 3, 6}, {1, 3, 6}, {2, 6}})); + EXPECT_EQ(costs_of(expand), (std::vector {2, 2, 2, 2, 3, 3, 4})); + // Collapse: [0, 4] first; at node 1 the transition to 3 is banned, so 5 never follows [0]; at + // node 0 the transition to 1 is banned. Then [0, 3, 6] (node 1 bans the heads 3 and 2) and + // [2, 6]. + const auto collapse = run(g, 0, 3, 16, sel(false)); + EXPECT_EQ(walks(collapse), (std::vector> {{0, 4}, {0, 3, 6}, {2, 6}})); + EXPECT_EQ(costs_of(collapse), (std::vector {2, 3, 4})); + // Every k gives the prefix of the full answer. + const auto all_e = walks(expand); + const auto all_c = walks(collapse); + for (std::int64_t k = 1; k <= 8; ++k) { + EXPECT_EQ(walks(run(g, 0, 3, k, sel())), decltype(all_e)(all_e.begin(), all_e.begin() + std::min(k, 7))); + EXPECT_EQ(walks(run(g, 0, 3, k, sel(false))), decltype(all_c)(all_c.begin(), all_c.begin() + std::min(k, 3))); + } +} + +TEST(Ksp, EndpointDefectsReportTheFirstInOrder) { + // The scalar endpoints are checked as one-element sets (range, then the + // overlap), with every other argument also wrong where the order allows it; the first defect + // in the validation order is reported, for ksp and resolve_to_paths. + auto g = bgraph(3, {{0, 1, 1, 1}, {1, 2, 1, 1}}); + auto other = bgraph(3, {{0, 1, 1, 1}}); + auto foreign = other.eligibility({}, std::vector {0}); + const std::vector bad = {1, 2}; + const auto all_wrong = [&](NodeId s, NodeId t) { + return error_of([&] { (void)run(g, s, t, 0, sel(), Absolute {-1}, &bad, &foreign); }); + }; + EXPECT_EQ(all_wrong(5, -1), "src: node 5 out of node range [0, 3)"); + EXPECT_EQ(all_wrong(-1, -1), "src: node -1 out of node range [0, 3)"); + EXPECT_EQ(all_wrong(3, 3), "src: node 3 out of node range [0, 3)"); // range before the overlap + EXPECT_EQ(all_wrong(0, 3), "dst: node 3 out of node range [0, 3)"); + EXPECT_EQ(all_wrong(2, -4), "dst: node -4 out of node range [0, 3)"); + EXPECT_EQ(all_wrong(1, 1), "node 1 is in both endpoint sets: src and dst must not overlap"); + EXPECT_EQ(all_wrong(0, 2), "k must be >= 1 (got 0)"); + PathSelection selection = sel(); + selection.priority = static_cast(9); + EXPECT_EQ(error_of([&] { (void)ksp(g, 7, 7, KspOptions(0, selection)); }), + "selection.priority: 9 is not a value of EdgePriority"); + const auto dag = detail::PredDAGBuilder::of_edges(g, std::vector {0, 1}); + const auto dag_other = detail::PredDAGBuilder::of_edges(other, std::vector {0}); + EXPECT_EQ(error_of([&] { (void)resolve_to_paths(g, dag_other, 9, 9, false, 0); }), "foreign PredDAG: built for another graph"); + EXPECT_EQ(error_of([&] { (void)resolve_to_paths(g, dag, 9, -9, false, 0); }), "src: node 9 out of node range [0, 3)"); + EXPECT_EQ(error_of([&] { (void)resolve_to_paths(g, dag, 3, 3, false, 0); }), "src: node 3 out of node range [0, 3)"); + EXPECT_EQ(error_of([&] { (void)resolve_to_paths(g, dag, 0, 3, false, 0); }), "dst: node 3 out of node range [0, 3)"); + EXPECT_EQ(error_of([&] { (void)resolve_to_paths(g, dag, 2, 2, false, 0); }), + "node 2 is in both endpoint sets: src and dst must not overlap"); + EXPECT_EQ(error_of([&] { (void)resolve_to_paths(g, dag, 0, 2, false, 0); }), "max_paths must be >= 1 (got 0)"); + // Valid endpoints at both ends of the range. + EXPECT_EQ(run(g, 0, 2, 1, sel()).size(), 1U); + EXPECT_EQ(resolve_to_paths(g, dag, 0, 2).size(), 1U); + EXPECT_TRUE(run(g, 2, 0, 1, sel()).empty()); +} + TEST(Ksp, ZeroCapacityEdgesAreNeverMembers) { auto g = bgraph(4, {{0, 1, 1, 1}, {1, 3, 1, 1}, {0, 2, 1, 1}, {2, 3, 1, 1}, {0, 3, 0, 2}, {0, 3, 1, 2}}); std::vector zero; @@ -183,6 +246,9 @@ TEST(Ksp, ZeroCapacityEdgesAreNeverMembers) { auto with_zero = run(g, 0, 3, 8, sel()); auto el = g.eligibility({}, zero); auto excluded = run(g, 0, 3, 8, sel(), std::nullopt, nullptr, &el); + // The three walks of cost 2 that avoid the zero-capacity edge: 0-1-3, 0-2-3 and the direct edge + // of capacity 1. + ASSERT_EQ(costs_of(with_zero), (std::vector {2, 2, 2})); ASSERT_EQ(with_zero.size(), excluded.size()); for (std::size_t i = 0; i < with_zero.size(); ++i) { EXPECT_TRUE(with_zero[i].second == excluded[i].second); @@ -214,15 +280,35 @@ TEST(Ksp, CeilingsOnChainPlusBypasses) { EXPECT_TRUE(run(g, 0, 3, 8, sel(), Stretch {2.0}, nullptr, &el).empty()); } +// The Stretch ceiling is exact for costs and factors far past double precision: f = m * 2^x is +// compared as that dyadic rational, the bit lengths before any shift. Paths 0->1 of cost b and +// 0->2->1 of cost b + 1 (b + 2 on the second graph). b = 2^60: b + 1 rounds to b in a double, so +// Stretch(1) admitting both paths would be a double comparison; (1 + 2^-52) * 2^60 = 2^60 + 2^8 +// admits b + 1; m * 2^60 for m = 2^52 + 1 does not fit 64 bits; 2^68 * 2^60 leaves 128 bits, and +// so do the rest, which admit everything. b = 2^52: (1 + 2^-52) * b = b + 1 exactly, admitted, +// while b + 2 is not. +TEST(Ksp, StretchCeilingIsExactForLargeCostsAndFactors) { + const Cost big = Cost {1} << 60; + auto g = bgraph(3, {{0, 1, 1, big}, {0, 2, 1, 1}, {2, 1, 1, big}}); + const double just_above_one = std::nextafter(1.0, 2.0); // 1 + 2^-52 + EXPECT_EQ(costs_of(run(g, 0, 1, 8, sel(), Stretch {1.0})), (std::vector {big})); + for (const double f : {just_above_one, std::ldexp(1.0, 68), std::ldexp(1.0, 70), std::ldexp(1.0, 1000), 1e308, + std::numeric_limits::max()}) { + EXPECT_EQ(costs_of(run(g, 0, 1, 8, sel(), Stretch {f})), (std::vector {big, big + 1})) << f; + } + const Cost b52 = Cost {1} << 52; + auto h = bgraph(4, {{0, 1, 1, b52}, {0, 2, 1, 1}, {2, 1, 1, b52}, {0, 3, 1, 2}, {3, 1, 1, b52}}); + EXPECT_EQ(costs_of(run(h, 0, 1, 8, sel(), Stretch {1.0})), (std::vector {b52})); + EXPECT_EQ(costs_of(run(h, 0, 1, 8, sel(), Stretch {just_above_one})), (std::vector {b52, b52 + 1})); + EXPECT_EQ(costs_of(run(h, 0, 1, 8, sel(), Stretch {2.0})), (std::vector {b52, b52 + 1, b52 + 2})); +} + TEST(Ksp, ValidationInTheContractOrder) { auto g = bgraph(3, {{0, 1, 1, 1}, {1, 2, 1, 1}}); auto other = bgraph(3, {{0, 1, 1, 1}}); auto foreign = other.eligibility({}, std::vector {0}); const std::vector bad = {1, 2}; - EXPECT_EQ(error_of([&] { (void)run(g, 3, 1, 1, sel()); }), "src: node 3 out of node range [0, 3)"); - EXPECT_EQ(error_of([&] { (void)run(g, 0, -1, 1, sel()); }), "dst: node -1 out of node range [0, 3)"); - EXPECT_EQ(error_of([&] { (void)run(g, 1, 1, 1, sel()); }), "node 1 is in both endpoint sets: src and dst must not overlap"); - EXPECT_EQ(error_of([&] { (void)run(g, 0, 2, 0, sel()); }), "k must be >= 1 (got 0)"); + // The endpoints and k, alone and with every later argument wrong: the test above. EXPECT_EQ(error_of([&] { (void)run(g, 0, 2, 1, sel(), Absolute {-1}); }), "max_path_cost Absolute cost must be >= 0 (got -1)"); EXPECT_EQ(error_of([&] { (void)run(g, 0, 2, 1, sel(), Stretch {0.5}); }), "max_path_cost Stretch factor must be finite and in [1, inf) (got 0.500000)"); @@ -231,18 +317,33 @@ TEST(Ksp, ValidationInTheContractOrder) { EXPECT_EQ(error_of([&] { (void)run(g, 0, 2, 1, sel(), std::nullopt, &bad); }), "residual[1] = 2 is outside [0, capacity_units[1] = 1]"); EXPECT_EQ(error_of([&] { (void)run(g, 0, 2, 1, sel(), std::nullopt, nullptr, &foreign); }), "foreign Eligibility: built for another graph"); - // Order: the endpoints before k before the ceiling before the residual. - EXPECT_EQ(error_of([&] { (void)run(g, 2, 2, 0, sel(), Absolute {-1}, &bad); }), - "node 2 is in both endpoint sets: src and dst must not overlap"); - EXPECT_EQ(error_of([&] { (void)run(g, 0, 2, 0, sel(), Absolute {-1}, &bad); }), "k must be >= 1 (got 0)"); + // Order: the ceiling before the residual (the endpoints before k before the ceiling: the test + // above). EXPECT_EQ(error_of([&] { (void)run(g, 0, 2, 1, sel(), Absolute {-1}, &bad); }), "max_path_cost Absolute cost must be >= 0 (got -1)"); KspOptions o(1, sel()); o.selection.tie_break = static_cast(4); EXPECT_EQ(error_of([&] { (void)ksp(g, 0, 2, o); }), "selection.tie_break: 4 is not a value of EdgeTieBreak"); - // An excluded endpoint gives [], never an error. - const std::vector x0 = {0}; - auto el = g.eligibility(x0, {}); - EXPECT_TRUE(run(g, 0, 2, 3, sel(), std::nullopt, nullptr, &el).empty()); + // An excluded endpoint, the source or the destination, gives [], never an error. + for (const NodeId x : {0, 2}) { + const std::vector xn = {x}; + auto el = g.eligibility(xn, {}); + EXPECT_TRUE(run(g, 0, 2, 3, sel(), std::nullopt, nullptr, &el).empty()) << x; + EXPECT_TRUE(run(g, 0, 2, 3, sel(), Stretch {2.0}, nullptr, &el).empty()) << x; + } +} + +// A residual array with several defects at once (one error, from the shared edge-amount check): its +// length before any entry, then its first entry outside [0, capacity] in EdgeId order, before +// the Eligibility. +TEST(Ksp, ResidualDefectsReportTheFirstInOrder) { + const auto g = edge_amount_graph(); + const auto other = make_graph(4, {{0, 1, 2, 1}}); + const auto foreign = other.eligibility({}, std::vector {0}); + for (const auto& c : edge_amount_defects()) { + EXPECT_EQ(error_of([&] { (void)run(g, 0, 3, 2, sel(), std::nullopt, &c.amounts, &foreign); }), "residual" + c.error); + } + const auto bounds = edge_amounts_at_the_bounds(); + EXPECT_EQ(error_of([&] { (void)run(g, 0, 3, 2, sel(), std::nullopt, &bounds); }), ""); } namespace { @@ -277,8 +378,8 @@ std::vector> reference_ksp(const Graph& g, const ref::Query& const Cost base = d[static_cast(t)]; if (base == ref::kNone) return {}; // f in {1, 1.25, 1.5, 2}: c <= f * base exactly in quarters. - const auto quarters = static_cast<__int128>(std::get(*ceiling).factor * 4); - if (static_cast<__int128>(c) * 4 > quarters * base) break; + const auto quarters = static_cast(std::get(*ceiling).factor * 4); + if (static_cast(c) * 4 > static_cast(quarters) * base) break; } } out.push_back(p); @@ -289,10 +390,10 @@ std::vector> reference_ksp(const Graph& g, const ref::Query& } // namespace TEST(Ksp, RandomGraphsAgreeWithExhaustiveEnumeration) { - // The prototype-6 corpus shape (seed 6006): parallel members, residuals, masks, both tie modes, - // every priority, Expand and Collapse, k in {1, 3, 8}, Absolute and Stretch ceilings. + // Random graphs (seed 6006) checked against exhaustive enumeration: parallel members, residuals, + // masks, both tie modes, every priority, Expand and Collapse, k in {1, 3, 8}, Absolute and + // Stretch ceilings; each query again with multipath = false, which ksp ignores. std::mt19937 rng(6006); - int checked = 0; int nonempty = 0; int deep = 0; for (int gi = 0; gi < 300; ++gi) { @@ -353,12 +454,20 @@ TEST(Ksp, RandomGraphsAgreeWithExhaustiveEnumeration) { EXPECT_EQ(cost, p.cost()); } ASSERT_EQ(walks, want) << "graph " << gi << " case " << c; - ++checked; + // multipath is ignored: the same selection with multipath = false lists the same paths. + PathSelection single = s1; + single.multipath = false; + const auto same = run(g, 0, static_cast(n - 1), k, single, ceiling, use_res ? &residual : nullptr, + masks ? &el : nullptr); + ASSERT_EQ(same.size(), got.size()) << "graph " << gi << " case " << c; + for (std::size_t i = 0; i < same.size(); ++i) { + EXPECT_EQ(same[i].first, got[i].first) << "graph " << gi << " case " << c; + EXPECT_TRUE(same[i].second == got[i].second) << "graph " << gi << " case " << c; + } if (!want.empty()) ++nonempty; if (want.size() >= 3) ++deep; } } - EXPECT_EQ(checked, 7200); EXPECT_GT(nonempty, 3000); EXPECT_GT(deep, 300); } @@ -422,7 +531,7 @@ std::vector>> reference_walks(const Graph& g, co TEST(ResolveToPaths, OrderSplitAndTruncation) { // A DAG with a parallel pair, two routes of equal cost and a dearer one: - // ids (B' order): 0: 0->1 (1), 1: 0->1 (1), 2: 0->2 (1), 3: 0->3 (5), 4: 1->3 (1), 5: 2->3 (1). + // EdgeIds: 0: 0->1 (1), 1: 0->1 (1), 2: 0->2 (1), 3: 0->3 (5), 4: 1->3 (1), 5: 2->3 (1). auto g = bgraph(4, {{0, 1, 1, 1}, {0, 1, 1, 1}, {0, 2, 1, 1}, {0, 3, 1, 5}, {1, 3, 1, 1}, {2, 3, 1, 1}}); const auto dag = detail::PredDAGBuilder::of_edges(g, std::vector {0, 1, 2, 3, 4, 5}); auto hops_of = [](const std::vector& ps) { @@ -435,7 +544,7 @@ TEST(ResolveToPaths, OrderSplitAndTruncation) { EXPECT_EQ(hops_of(grouped), (std::vector>> {{{0, 1}, {4}}, {{2}, {5}}, {{3}}})); EXPECT_EQ(grouped[0].cost(), 2); EXPECT_EQ(grouped[2].cost(), 5); - // Split: one path per member combination, in the same order. + // Split: one path per member combination, sorted by its own (cost, hops, edge-id sequence). auto split = resolve_to_paths(g, dag, 0, 3, true); EXPECT_EQ(hops_of(split), (std::vector>> {{{0}, {4}}, {{1}, {4}}, {{2}, {5}}, {{3}}})); EXPECT_EQ(resolve_to_paths(g, dag, 0, 3, true, 2).size(), 2U); @@ -443,20 +552,28 @@ TEST(ResolveToPaths, OrderSplitAndTruncation) { // An endpoint the DAG does not join: []. EXPECT_TRUE(resolve_to_paths(g, dag, 3, 0).empty()); EXPECT_TRUE(resolve_to_paths(g, detail::PredDAGBuilder::of_edges(g, std::vector {4}), 0, 3).empty()); - // Validation. - auto other = bgraph(4, {{0, 1, 1, 1}}); - EXPECT_EQ(error_of([&] { (void)resolve_to_paths(other, dag, 0, 3); }), "foreign PredDAG: built for another graph"); - EXPECT_EQ(error_of([&] { (void)resolve_to_paths(g, dag, 4, 3); }), "src: node 4 out of node range [0, 4)"); - EXPECT_EQ(error_of([&] { (void)resolve_to_paths(g, dag, 0, -2); }), "dst: node -2 out of node range [0, 4)"); - EXPECT_EQ(error_of([&] { (void)resolve_to_paths(g, dag, 2, 2); }), "node 2 is in both endpoint sets: src and dst must not overlap"); - EXPECT_EQ(error_of([&] { (void)resolve_to_paths(g, dag, 0, 3, false, 0); }), "max_paths must be >= 1 (got 0)"); + // Unequal parallel costs: expanding the first grouped walk in place would put cost 4 before + // the direct cost-3 path, and truncating there would discard the wrong path. + const auto mixed = bgraph(3, {{0, 1, 1, 1}, {0, 1, 1, 3}, {1, 2, 1, 1}, {0, 2, 1, 3}}); + const auto all = detail::PredDAGBuilder::of_edges(mixed, all_ids(mixed)); + const auto grouped_mixed = resolve_to_paths(mixed, all, 0, 2); + EXPECT_EQ(hops_of(grouped_mixed), (std::vector>> {{{0, 1}, {3}}, {{2}}})); + const auto split_mixed = resolve_to_paths(mixed, all, 0, 2, true); + EXPECT_EQ(hops_of(split_mixed), (std::vector>> {{{0}, {3}}, {{2}}, {{1}, {3}}})); + ASSERT_EQ(split_mixed.size(), 3U); + EXPECT_EQ((std::vector {split_mixed[0].cost(), split_mixed[1].cost(), split_mixed[2].cost()}), + (std::vector {2, 3, 4})); + EXPECT_EQ(hops_of(resolve_to_paths(mixed, all, 0, 2, true, 2)), + (std::vector>> {{{0}, {3}}, {{2}}})); + // Validation: Ksp.EndpointDefectsReportTheFirstInOrder. } TEST(ResolveToPaths, RandomDagsAgreeWithEnumeration) { // Random DAGs (edges u -> v with u < v, parallel members, mixed costs, not necessarily tight): // the order, both forms and the truncation against the enumeration of every walk. std::mt19937 rng(55); - int checked = 0; + int nonempty = 0; // checks with at least one walk + int truncated = 0; // checks whose max_paths cut the walks short for (int trial = 0; trial < 600; ++trial) { const int n = 2 + static_cast(rng() % 7); std::vector rows; @@ -482,11 +599,15 @@ TEST(ResolveToPaths, RandomDagsAgreeWithEnumeration) { const std::size_t expect_n = mp.has_value() ? std::min(want.size(), static_cast(*mp)) : want.size(); ASSERT_EQ(got.size(), expect_n) << trial; for (std::size_t i = 0; i < got.size(); ++i) EXPECT_EQ(got[i].hops(), want[i]) << trial << " path " << i; - ++checked; + nonempty += want.empty() ? 0 : 1; + truncated += expect_n < want.size() ? 1 : 0; } } } - EXPECT_EQ(checked, 3600); + RecordProperty("nonempty", nonempty); + RecordProperty("truncated", truncated); + EXPECT_GT(nonempty, 1800); // not vacuous: most DAGs hold a walk + EXPECT_GT(truncated, 400); } TEST(ResolveToPaths, ResolvesASearchDagFromEitherDirection) { @@ -512,9 +633,7 @@ TEST(ResolveToPaths, LongChainsNeedNoRecursion) { for (int v = 0; v + 1 < n; ++v) rows.push_back({v, v + 1, 1, 1}); rows.push_back({n / 2, n / 2 + 1, 1, 1}); auto g = make_graph(n, rows); - std::vector all(static_cast(g.num_edges())); - for (std::size_t e = 0; e < all.size(); ++e) all[e] = static_cast(e); - const auto dag = detail::PredDAGBuilder::of_edges(g, all); + const auto dag = detail::PredDAGBuilder::of_edges(g, all_ids(g)); EXPECT_EQ(resolve_to_paths(g, dag, 0, n - 1, true).size(), 2U); EXPECT_EQ(resolve_to_paths(g, dag, 0, n - 1).size(), 1U); } diff --git a/tests/cpp/layout_checker.hpp b/tests/cpp/layout_checker.hpp index 6a56e55..8c3b9da 100644 --- a/tests/cpp/layout_checker.hpp +++ b/tests/cpp/layout_checker.hpp @@ -1,10 +1,11 @@ -// An independent checker of the graph's stored layout (APPROACH 3, layout B'; task 1e). +// An independent checker of the graph's stored layout (the EdgeId order and the CSR arrays that +// graph.hpp describes). // // It reads the arrays as spans and the caller's input separately, and derives every expectation -// from the contract's text, never from the constructor's helpers: +// from the layout's definition, never from the constructor's helpers: // 1. sizes first, before any element is read: N >= 0, E >= 0, the input arrays of length E, // every per-edge array and the input map of length E, both offset arrays of length N + 1, -// the reverse slots of length E, the internal reverse-source copy of length E when present; +// the reverse slots of length E, the internal reverse-source copy of length E; // 2. then ranges, before any value is used as an index: offsets in [0, E], [0] = 0, [N] = E, // non-decreasing; endpoints in [0, N); the map and the slots in [0, E) and permutations; // the copied sources in [0, N); @@ -18,7 +19,6 @@ #include #include -#include #include #include #include @@ -49,7 +49,7 @@ struct LayoutSpans { std::span row_offsets {}; std::span in_row_offsets {}; std::span in_adj_edge_index {}; - std::optional> in_col_indices {}; // the internal copy, when stored + std::span in_col_indices {}; // the internal copy of the in-edges' sources Cost max_cost {0}; Cost cost_gcd {0}; }; @@ -108,7 +108,7 @@ inline std::vector check_layout(const LayoutSpans& g, const LayoutI size_is(g.row_offsets.size(), np1, "row_offsets"); size_is(g.in_row_offsets.size(), np1, "in_row_offsets"); size_is(g.in_adj_edge_index.size(), me, "in_adj_edge_index"); - if (g.in_col_indices.has_value()) size_is(g.in_col_indices->size(), me, "in_col_indices"); + size_is(g.in_col_indices.size(), me, "in_col_indices"); if (!bad.empty()) return bad; // 2. Ranges and permutations (values are read, none is used as an index yet). @@ -128,12 +128,10 @@ inline std::vector check_layout(const LayoutSpans& g, const LayoutI } if (!permutation_of_range(g.input_index, m)) bad.emplace_back("map:permutation"); if (!permutation_of_range(g.in_adj_edge_index, m)) bad.emplace_back("slot:permutation"); - if (g.in_col_indices.has_value()) { - for (const NodeId x : *g.in_col_indices) { - if (x < 0 || x >= n) { - bad.emplace_back("range:in_col_indices"); - break; - } + for (const NodeId x : g.in_col_indices) { + if (x < 0 || x >= n) { + bad.emplace_back("range:in_col_indices"); + break; } } if (!bad.empty()) return bad; @@ -198,12 +196,10 @@ inline std::vector check_layout(const LayoutSpans& g, const LayoutI } if (!rev_member) bad.emplace_back("reverse:membership"); if (!rev_order) bad.emplace_back("reverse:order"); - if (g.in_col_indices.has_value()) { - for (std::size_t s = 0; s < me; ++s) { - if ((*g.in_col_indices)[s] != g.src[static_cast(g.in_adj_edge_index[s])]) { - bad.emplace_back("copy:source"); - break; - } + for (std::size_t s = 0; s < me; ++s) { + if (g.in_col_indices[s] != g.src[static_cast(g.in_adj_edge_index[s])]) { + bad.emplace_back("copy:source"); + break; } } // The scans, from the input (0 on an empty graph). diff --git a/tests/cpp/pinned_one.hpp b/tests/cpp/pinned_one.hpp index 8d72964..523be93 100644 --- a/tests/cpp/pinned_one.hpp +++ b/tests/cpp/pinned_one.hpp @@ -1,6 +1,6 @@ -// A manual placement as the contract defines it (APPROACH 8): a FlowPolicy with Pinned routing and -// one bundle. The ledger and kernel tests drive the ledger through it and compare the real -// PlacementResult. +// A manual placement: a FlowPolicy with Pinned routing and one bundle. The ledger tests +// (flow_ledger_tests.cpp, flow_ledger_fault_tests.cpp) drive the ledger through it and compare the +// real PlacementResult. #pragma once #include @@ -35,7 +35,6 @@ class PinnedOne { if (pe.cohorts.empty() || pe.cohorts.front().empty()) return std::nullopt; return FlowId {pe.fg.uid(), pe.cohorts.front().front().id}; } - [[nodiscard]] Amount placed_demand() const { return policy_->placed_demand(); } [[nodiscard]] int usable_bundles() const { return policy_->usable_bundles(); } [[nodiscard]] const detail::KernelPlan* plan() const { const auto& pe = engine(); @@ -44,6 +43,8 @@ class PinnedOne { } [[nodiscard]] const Counter128& requested() const { return engine().requested; } [[nodiscard]] bool infinite() const { return engine().infinite; } + // The wrapped policy (for the shared comparators of state_comparators.hpp, such as epoch()). + [[nodiscard]] FlowPolicy& policy() { return *policy_; } private: [[nodiscard]] const detail::PolicyEngine& engine() const { return detail::PolicyAccess::engine(*policy_); } diff --git a/tests/cpp/pred_dag_tests.cpp b/tests/cpp/pred_dag_tests.cpp index bef2484..c8165a2 100644 --- a/tests/cpp/pred_dag_tests.cpp +++ b/tests/cpp/pred_dag_tests.cpp @@ -1,13 +1,10 @@ -// PredDAG and Path (APPROACH 5): from_csr's complete validation in the documented order, the +// PredDAG and Path: from_csr's complete validation in the documented order, the // canonical predecessor order, structural equality, Path validation in its order, cost and // to_dag(). #include #include -#include #include -#include -#include #include #include "netgraph/core/detail/pred_dag_builder.hpp" @@ -19,30 +16,13 @@ using namespace netgraph::core::test; namespace { -std::string error_of(const std::function& fn) { - try { - fn(); - } catch (const std::invalid_argument& e) { - return e.what(); - } - return ""; -} - -bool contains(const std::string& s, const std::string& part) { return s.find(part) != std::string::npos; } - -// 0 -> 1 (two parallel members), 1 -> 2, 0 -> 2; ids follow (src, cost, dst, input). +// 0 -> 1 (two parallel members), 1 -> 2, 0 -> 2 and 2 -> 0; ids follow (src, cost, dst, input). Graph diamondish() { return make_graph(3, {{0, 1, 5, 1}, {0, 1, 5, 1}, {1, 2, 5, 1}, {0, 2, 5, 3}, {2, 0, 5, 1}}); } using V = std::vector; -// The DAG's edges in ascending EdgeId (the builder's view of the storage). -std::vector ascending(const PredDAG& dag) { - const auto e = detail::PredDAGBuilder::ascending(dag); - return {e.begin(), e.end()}; -} - } // namespace TEST(PredDAG, FromCsrRoundTripAndAccessors) { @@ -56,32 +36,37 @@ TEST(PredDAG, FromCsrRoundTripAndAccessors) { EXPECT_EQ(dag.parent_offsets(), off); EXPECT_EQ(V(dag.parents().begin(), dag.parents().end()), par); EXPECT_EQ(V(dag.via_edges().begin(), dag.via_edges().end()), via); - EXPECT_EQ(ascending(dag), (std::vector{0, 1, 2, 3})); + EXPECT_EQ(ascending_edges(dag), (std::vector{0, 1, 2, 3})); // Structural equality: the builder's value from the same edge set is equal. const std::vector edges = {3, 1, 0, 2}; EXPECT_TRUE(detail::PredDAGBuilder::of_edges(g, edges) == dag); auto empty = PredDAG::from_csr(g, V {0, 0, 0, 0}, V {}, V {}); EXPECT_FALSE(empty == dag); - EXPECT_TRUE(ascending(empty).empty()); + EXPECT_TRUE(ascending_edges(empty).empty()); + // Equality includes the graph: the same CSR on a twin graph (the same arrays, another uid) is + // another value, from from_csr and from the builder alike. + const auto twin = diamondish(); + ASSERT_NE(twin.uid(), g.uid()); + const auto there = PredDAG::from_csr(twin, off, par, via); + EXPECT_EQ(there.parent_offsets(), off); + EXPECT_EQ(V(there.via_edges().begin(), there.via_edges().end()), via); + EXPECT_FALSE(there == dag); + EXPECT_FALSE(detail::PredDAGBuilder::of_edges(twin, edges) == dag); + EXPECT_TRUE(detail::PredDAGBuilder::of_edges(twin, edges) == there); } // The builder's entries for any edge subset in any input order: children ascending, via -// ascending within a child, the parent each via's tail, and the same value as from_csr. +// ascending within a child, the parent each via's tail, and the same value as from_csr. The +// builder groups a subset of fewer than N / 8 edges by sorting (child, via) pairs and a larger one +// by a counting sort over the nodes: small graphs take mostly the counting sort, and graphs of 512 +// to 767 nodes with four to seven children of five to nine in-edges each (at most 63 edges, often +// more than a sort keeps in insertion order) take only the pair sort. Each population is guarded by +// its DAGs with a child of several entries, whose order is what differs between the two. TEST(PredDAG, BuilderGroupsAnyEdgeSubsetCanonically) { std::mt19937 rng(5); - for (int trial = 0; trial < 200; ++trial) { - const int n = 2 + static_cast(rng() % 9); - std::vector es; - for (int k = 0, m = 1 + static_cast(rng() % 30); k < m; ++k) { // u < v: every subset is a DAG - const auto u = static_cast(rng() % static_cast(n - 1)); - const auto v = static_cast(u + 1 + static_cast(rng() % static_cast(n - 1 - u))); - es.push_back({u, v, 1, static_cast(1 + rng() % 3)}); - } - const auto g = make_graph(n, es); - std::vector subset; - for (EdgeId e = 0; e < g.num_edges(); ++e) { - if (rng() % 2 == 0) subset.push_back(e); - } + // Checks the builder's value for one subset; true when a child has several entries. + const auto check = [&](const Graph& g, std::vector subset, int trial) { + const int n = g.num_nodes(); std::shuffle(subset.begin(), subset.end(), rng); const auto dag = detail::PredDAGBuilder::of_edges(g, subset); V off(static_cast(n) + 1, 0); @@ -101,8 +86,48 @@ TEST(PredDAG, BuilderGroupsAnyEdgeSubsetCanonically) { EXPECT_EQ(V(dag.via_edges().begin(), dag.via_edges().end()), via) << trial; EXPECT_TRUE(PredDAG::from_csr(g, off, par, via) == dag) << trial; std::sort(subset.begin(), subset.end()); - EXPECT_EQ(ascending(dag), subset) << trial; + EXPECT_EQ(ascending_edges(dag), subset) << trial; + const auto o = dag.parent_offsets(); + bool several = false; + for (std::size_t i = 1; i < o.size(); ++i) several = several || o[i] - o[i - 1] >= 2; + return several; + }; + int grouped = 0; // DAGs with a child of several entries (their order is checked) + for (int trial = 0; trial < 200; ++trial) { + const int n = 2 + static_cast(rng() % 9); + std::vector es; + for (int k = 0, m = 1 + static_cast(rng() % 30); k < m; ++k) { // u < v: every subset is a DAG + const auto u = static_cast(rng() % static_cast(n - 1)); + const auto v = static_cast(u + 1 + static_cast(rng() % static_cast(n - 1 - u))); + es.push_back({u, v, 1, static_cast(1 + rng() % 3)}); + } + const auto g = make_graph(n, es); + std::vector subset; + for (EdgeId e = 0; e < g.num_edges(); ++e) { + if (rng() % 2 == 0) subset.push_back(e); + } + grouped += check(g, subset, trial) ? 1 : 0; + } + EXPECT_GT(grouped, 50); + int sparse_grouped = 0; // pair-sorted DAGs with a child of several entries + for (int trial = 0; trial < 200; ++trial) { + const int n = 512 + static_cast(rng() % 256); + std::vector es; + for (int c = 0, children = 4 + static_cast(rng() % 4); c < children; ++c) { + const auto v = static_cast(1 + rng() % static_cast(n - 1)); + for (int k = 0, d = 5 + static_cast(rng() % 5); k < d; ++k) { // u < v; parallel members possible + es.push_back({static_cast(rng() % static_cast(v)), v, 1, static_cast(1 + rng() % 3)}); + } + } + const auto g = make_graph(n, es); + std::vector subset; + for (EdgeId e = 0; e < g.num_edges(); ++e) { + if (rng() % 8 != 0) subset.push_back(e); + } + ASSERT_LT(subset.size() * 8, static_cast(n)); // the pair sort + sparse_grouped += check(g, subset, 1000 + trial) ? 1 : 0; } + EXPECT_GT(sparse_grouped, 100); } TEST(PredDAG, FromCsrShapeChecksInOrder) { @@ -122,27 +147,54 @@ TEST(PredDAG, FromCsrShapeChecksInOrder) { // Shape before entries: a bad parent and a shape defect report the shape. EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, V {0, 0, 2, 3}, V {9, 0}, V {0, 1}); }), "offsets[N] = 3")); + // Every shape defect at once, then each reported one removed: each step is reported before + // all the later ones (and before the bad entry 9, 9). + EXPECT_EQ(error_of([&] { (void)PredDAG::from_csr(g, V {1, 0, 0}, V {9}, V {9}); }), + "PredDAG.from_csr: offsets has length 3, expected N + 1 = 4"); + EXPECT_EQ(error_of([&] { (void)PredDAG::from_csr(g, V {1, 0, 2, 5}, V {9}, V {9}); }), + "PredDAG.from_csr: offsets[0] = 1, expected 0"); + EXPECT_EQ(error_of([&] { (void)PredDAG::from_csr(g, V {0, 2, 1, 5}, V {9}, V {9}); }), + "PredDAG.from_csr: offsets are not monotone at 2 (2 > 1)"); + EXPECT_EQ(error_of([&] { (void)PredDAG::from_csr(g, V {0, 0, 2, 5}, V {9}, V {9}); }), + "PredDAG.from_csr: offsets[N] = 5 but parents has 1 and via has 1 entries"); } TEST(PredDAG, FromCsrEntryChecksInOrder) { auto g = diamondish(); const V off = {0, 0, 2, 2}; // parents in range, then via in range (entry by entry) - EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, off, V {3, 0}, V {0, 1}); }), "parents[0] = 3")); + EXPECT_EQ(error_of([&] { (void)PredDAG::from_csr(g, off, V {3, 0}, V {0, 1}); }), + "PredDAG.from_csr: parents[0] = 3 out of node range [0, 3)"); EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, off, V {0, 0}, V {0, 5}); }), "via[1] = 5")); - EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, off, V {-1, 0}, V {-1, 1}); }), "parents[0] = -1")); + EXPECT_EQ(error_of([&] { (void)PredDAG::from_csr(g, off, V {-1, 0}, V {-1, 1}); }), + "PredDAG.from_csr: parents[0] = -1 out of node range [0, 3)"); // via endpoints: wrong parent, wrong child EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, off, V {1, 0}, V {0, 1}); }), "joins (0, 1), not (1, 1)")); EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, V {0, 0, 0, 1}, V {0}, V {0}); }), "joins (0, 1), not (0, 2)")); // duplicate (child, via) before the order check EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, off, V {0, 0}, V {1, 1}); }), "duplicate entry")); - // a cycle (0 -> 1 -> 2 -> 0) before the order check - EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, V {0, 1, 2, 3}, V {2, 0, 1}, V {4, 0, 3}); }), + // a cycle (0 -> 1 -> 2 -> 0) before the order check: node 1's two entries descend (via 1, then 0) + EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, V {0, 1, 3, 4}, V {2, 0, 0, 1}, V {4, 1, 0, 3}); }), "cycle")); // canonical order: ascending via within a node EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, off, V {0, 0}, V {1, 0}); }), "not in ascending via EdgeId")); + // Every entry defect at once, then each reported one removed. Node 0 has (2, via 4), node 1 + // (0, via 1), (0, via 0), (0, via 0): a cycle 0 -> 1 -> 2 -> 0, a duplicate and a descending + // pair; node 2 has a wrong endpoint (entry 4) before an out-of-range via (entry 5), so the + // ranges of every entry come before any endpoint. + const auto first = [&](V o, V p, V w) { return error_of([&] { (void)PredDAG::from_csr(g, o, p, w); }); }; + EXPECT_EQ(first(V {0, 1, 4, 6}, V {2, 0, 0, 0, 0, 1}, V {4, 1, 0, 0, 0, 9}), + "PredDAG.from_csr: via[5] = 9 out of edge range [0, 5)"); + EXPECT_EQ(first(V {0, 1, 4, 6}, V {2, 0, 0, 0, 0, 1}, V {4, 1, 0, 0, 0, 3}), + "PredDAG.from_csr: entry 4 of node 2: via edge 0 joins (0, 1), not (0, 2)"); + EXPECT_EQ(first(V {0, 1, 4, 6}, V {2, 0, 0, 0, 0, 1}, V {4, 1, 0, 0, 2, 3}), + "PredDAG.from_csr: duplicate entry (child 1, via 0)"); + EXPECT_EQ(first(V {0, 1, 3, 5}, V {2, 0, 0, 0, 1}, V {4, 1, 0, 2, 3}), "PredDAG.from_csr: the entries contain a cycle"); + EXPECT_EQ(first(V {0, 0, 2, 4}, V {0, 0, 0, 1}, V {1, 0, 2, 3}), + "PredDAG.from_csr: the entries of node 1 are not in ascending via EdgeId (1 then 0)"); + EXPECT_EQ(first(V {0, 0, 2, 4}, V {0, 0, 0, 1}, V {0, 1, 2, 3}), ""); } TEST(PredDAG, SelfLoopIsACycle) { @@ -155,7 +207,8 @@ TEST(PredDAG, EmptyGraph) { auto g = make_graph(0, {}); auto dag = PredDAG::from_csr(g, V {0}, V {}, V {}); EXPECT_EQ(dag.parent_offsets(), V {0}); - EXPECT_FALSE(error_of([&] { (void)PredDAG::from_csr(g, V {}, V {}, V {}); }).empty()); + EXPECT_EQ(error_of([&] { (void)PredDAG::from_csr(g, V {}, V {}, V {}); }), + "PredDAG.from_csr: offsets has length 0, expected N + 1 = 1"); } TEST(Path, CostSrcDstAndToDag) { @@ -178,6 +231,11 @@ TEST(Path, CostSrcDstAndToDag) { EXPECT_EQ(Path(g2, {{0, 1}}).cost(), 2); EXPECT_TRUE(Path(g2, {{0, 1}}) == Path(g2, {{0, 1}})); EXPECT_FALSE(Path(g2, {{0, 1}}) == Path(g2, {{1, 0}})); + // Equality includes the graph: the same hops on a twin graph (the same arrays, another uid). + auto twin = make_graph(2, {{0, 1, 1, 4}, {0, 1, 1, 2}}); + ASSERT_NE(twin.uid(), g2.uid()); + EXPECT_EQ(Path(twin, {{0, 1}}).hops(), Path(g2, {{0, 1}}).hops()); + EXPECT_FALSE(Path(twin, {{0, 1}}) == Path(g2, {{0, 1}})); } TEST(Path, ValidationInOrder) { @@ -187,7 +245,7 @@ TEST(Path, ValidationInOrder) { EXPECT_TRUE(contains(error_of([&] { Path(g, {{-1}}); }), "member -1 out of edge range")); // duplicate member before an empty hop EXPECT_TRUE(contains(error_of([&] { Path(g, {{0, 0}, {}}); }), "duplicate member 0")); - EXPECT_TRUE(contains(error_of([&] { Path(g, {}); }), "hop list is empty")); + EXPECT_EQ(error_of([&] { Path(g, {}); }), "Path: the hop list is empty"); EXPECT_TRUE(contains(error_of([&] { Path(g, {{0}, {}}); }), "hop 1 is empty")); // members of a hop share (u, v) EXPECT_TRUE(contains(error_of([&] { Path(g, {{0, 2}}); }), "do not share (u, v)")); @@ -195,4 +253,15 @@ TEST(Path, ValidationInOrder) { EXPECT_TRUE(contains(error_of([&] { Path(g, {{0}, {2}}); }), "not contiguous")); // no repeated node: 0 -> 2 -> 0 EXPECT_TRUE(contains(error_of([&] { Path(g, {{2}, {4}}); }), "node 0 is repeated")); + // Several defects at once, then each reported one removed (an empty hop list has no member, so + // it is never reported with another defect). The later defect sits in an earlier hop where it + // can: the order is by step, not by position. + EXPECT_EQ(error_of([&] { Path(g, {{0, 0, 2}, {}, {7}}); }), "Path: hop 2 member 7 out of edge range [0, 5)"); + EXPECT_EQ(error_of([&] { Path(g, {{0, 0, 2}, {}, {4}}); }), "Path: duplicate member 0"); + EXPECT_EQ(error_of([&] { Path(g, {{0, 2}, {}, {4}}); }), "Path: hop 1 is empty"); + // hop 2 mixes 0 -> 2 and 0 -> 1; hops 0 and 1 do not meet (1 then 2); node 0 repeats + EXPECT_EQ(error_of([&] { Path(g, {{1}, {4}, {2, 0}}); }), + "Path: the members of hop 2 do not share (u, v): edge 0 joins (0, 1), edge 2 joins (0, 2)"); + EXPECT_EQ(error_of([&] { Path(g, {{1}, {4}, {2}}); }), "Path: hops 0 and 1 are not contiguous (1 then 2)"); + EXPECT_EQ(error_of([&] { Path(g, {{2}, {4}, {0}}); }), "Path: node 0 is repeated"); } diff --git a/tests/cpp/search_fault_tests.cpp b/tests/cpp/search_fault_tests.cpp index 177fad2..736db96 100644 --- a/tests/cpp/search_fault_tests.cpp +++ b/tests/cpp/search_fault_tests.cpp @@ -1,9 +1,10 @@ -// Allocation-failure atomicity of the search (APPROACH 13): every allocation an spf call makes +// Allocation-failure atomicity of the search: every allocation an spf call makes // (the workspace's acquisition and growth, the tight-edge pool, both queues, the pruning and the // extraction scratch, the emitted DAG and the result) fails once; the call raises std::bad_alloc, // and a clean retry and a different query afterwards give their references, so the thread's -// workspace is restored on every exit (no touched node, mark, list or queue entry survives). -// Runs in the fault-injection executable (fault_injection.hpp). +// workspace is restored on every exit (no touched node, mark, list or queue entry survives); no +// failed attempt leaves an allocation behind, on a warm workspace or from a new thread. Runs in +// the fault-injection executable (fault_injection.hpp). #include #include @@ -36,14 +37,10 @@ struct Query { SpfQueue queue; }; -Graph random_graph(int n, int m, Cost max_cost, unsigned seed) { +// test_utils.hpp's random graph from its own seed, every capacity at least 1 unit. +Graph seeded_graph(int n, int m, Cost max_cost, unsigned seed) { std::mt19937 rng(seed); - std::vector edges; - for (int i = 0; i < m; ++i) { - edges.push_back({static_cast(rng() % static_cast(n)), static_cast(rng() % static_cast(n)), - static_cast(1 + rng() % 4), static_cast(1 + rng() % static_cast(max_cost))}); - } - return make_graph(n, edges); + return random_graph(rng, n, m, max_cost, 1, 1); } SpfResult run(const Graph& g, const Query& q, const std::vector& residual) { @@ -78,6 +75,26 @@ void in_fresh_thread(const std::function& attempt, const std::function& attempt, const std::function& after, + const std::string& where) { + const long live = g_live.load(); + const bool hit = fails_at(k, [&] { in_fresh_thread(attempt, after); }); + if (hit) EXPECT_EQ(g_live.load(), live) << where << " allocation " << k << ": a leak"; + return hit; +} + +// The allocations in_fresh_thread makes itself (its thread), given functions built beforehand: +// a sweep through it counts these too, so its guard subtracts them. +long thread_allocations() { + const std::function nothing = [] {}; + long n = 0; + while (fails_at(n, [&] { in_fresh_thread(nothing, nothing); })) ++n; + return n; +} + } // namespace TEST(SearchFaults, EveryAllocationOfSpfFailsCleanly) { @@ -87,7 +104,7 @@ TEST(SearchFaults, EveryAllocationOfSpfFailsCleanly) { // below n or above 4n + 4096 nodes, so it never shrinks here): each attempt starts from a // workspace another graph used last. The acquisition of the node arrays is swept below, from // fresh threads. - const auto big = random_graph(400, 2400, 3, 99); + const auto big = seeded_graph(400, 2400, 3, 99); const auto tiny = make_graph(3, {{0, 1, 1, 1}, {1, 2, 1, 1}}); std::vector residual(static_cast(big.num_edges())); for (std::size_t e = 0; e < residual.size(); ++e) residual[e] = big.capacity_units()[e] - static_cast(e % 2); @@ -108,12 +125,16 @@ TEST(SearchFaults, EveryAllocationOfSpfFailsCleanly) { for (const auto& q : queries) want.push_back(run(big, q, residual)); const auto want_other = run(big, other, residual); const auto want_tiny = spf(tiny, std::vector {0}, SpfOptions(Direction::Forward, det)); + const long harness = thread_allocations(); for (std::size_t i = 0; i < queries.size(); ++i) { const auto& q = queries[i]; long failures = 0; for (long k = 0;; ++k) { (void)spf(tiny, std::vector {0}, SpfOptions(Direction::Forward, det)); // reuses the workspace std::optional got; + // The workspace already has the size every query needs (the references above), so a failed + // search that leaves an allocation live leaks it. + const long live = g_live.load(); const bool hit = fails_at(k, [&] { got.emplace(run(big, q, residual)); }); if (!hit) { ASSERT_TRUE(got.has_value()) << q.name; @@ -122,6 +143,7 @@ TEST(SearchFaults, EveryAllocationOfSpfFailsCleanly) { } ++failures; EXPECT_FALSE(got.has_value()) << q.name << " at " << k; + EXPECT_EQ(g_live.load(), live) << q.name << " at " << k << ": a leak"; // The retry, another query and a tiny search on this thread see a clean workspace. expect_same(run(big, q, residual), want[i], q.name + " retry after " + std::to_string(k)); expect_same(run(big, other, residual), want_other, q.name + " other after " + std::to_string(k)); @@ -130,17 +152,17 @@ TEST(SearchFaults, EveryAllocationOfSpfFailsCleanly) { } EXPECT_GE(failures, 8) << q.name; // the sweep reached the search's allocations, not only the result // The same sweep from an empty workspace (a new thread per attempt): the first acquisition of - // the node arrays, the bucket arrays and the queues' storage fail too. + // the node arrays, the bucket arrays and the queues' storage fail too, so beyond the thread's + // own allocations the attempt allocates more than on the warm workspace above. long fresh = 0; for (long k = 0;; ++k) { std::optional got; - const bool hit = fails_at(k, [&] { - in_fresh_thread([&] { got.emplace(run(big, q, residual)); }, - [&] { - expect_same(run(big, q, residual), want[i], q.name + " fresh retry after " + std::to_string(k)); - expect_same(run(big, other, residual), want_other, q.name + " fresh other after " + std::to_string(k)); - }); - }); + const std::function attempt = [&] { got.emplace(run(big, q, residual)); }; + const std::function after = [&] { + expect_same(run(big, q, residual), want[i], q.name + " fresh retry after " + std::to_string(k)); + expect_same(run(big, other, residual), want_other, q.name + " fresh other after " + std::to_string(k)); + }; + const bool hit = fails_in_fresh_thread_at(k, attempt, after, q.name + " fresh"); if (!hit) { ASSERT_TRUE(got.has_value()) << q.name; expect_same(*got, want[i], q.name + " fresh without a failure"); @@ -148,19 +170,20 @@ TEST(SearchFaults, EveryAllocationOfSpfFailsCleanly) { } ++fresh; } - EXPECT_GT(fresh, failures) << q.name; + EXPECT_GT(fresh - harness, failures) << q.name; } } TEST(SearchFaults, InternalRouteSearchesFailCleanly) { // The policies' entries (route_search, support_route, static_support, static_costs) under the // same sweep: a failure leaves nothing behind for the next search. - const auto g = random_graph(200, 1200, 2, 7); + const auto g = seeded_graph(200, 1200, 2, 7); std::vector view(static_cast(g.num_edges())); for (std::size_t e = 0; e < view.size(); ++e) view[e] = g.capacity_units()[e]; const PathSelection single(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, false); const std::vector dests = {150, 199}; const auto want_route = detail::route_search(g, detail::Gate {nullptr, view, 1}, single, 3, dests); + ASSERT_TRUE(want_route.has_value()); // node 3 reaches a destination const auto support = detail::static_support(g, dests, Direction::Reverse, nullptr); const detail::PriorityValues values {&g, EdgePriority::Residual, view}; const auto prio = detail::PriorityFn::of(values); @@ -169,6 +192,7 @@ TEST(SearchFaults, InternalRouteSearchesFailCleanly) { std::vector> calls = { [&] { auto r = detail::route_search(g, detail::Gate {nullptr, view, 1}, single, 3, dests); + ASSERT_TRUE(r.has_value()); EXPECT_EQ(r->edges, want_route->edges); }, [&] { @@ -178,18 +202,18 @@ TEST(SearchFaults, InternalRouteSearchesFailCleanly) { [&] { EXPECT_TRUE(detail::static_support(g, dests, Direction::Reverse, nullptr) == support); }, [&] { EXPECT_EQ(detail::static_costs(g, nullptr, dests, std::vector {0, 1, 2, 3}), want_costs); }, }; + const std::function every = [&] { + for (auto& call : calls) call(); // every entry clean afterwards, on the same thread + }; + const long harness = thread_allocations(); for (std::size_t c = 0; c < calls.size(); ++c) { long failures = 0; for (long k = 0;; ++k) { - const bool hit = fails_at(k, [&] { - in_fresh_thread(calls[c], [&] { - for (auto& call : calls) call(); // every entry clean afterwards, on the same thread - }); - }); + const bool hit = fails_in_fresh_thread_at(k, calls[c], every, "call " + std::to_string(c)); if (!hit) break; ++failures; } - EXPECT_GE(failures, 6) << "call " << c; + EXPECT_GE(failures - harness, 10) << "call " << c; // beyond the thread's own allocations } } @@ -198,7 +222,7 @@ TEST(SearchFaults, KspAndTheResolverFailCleanly) { // (the walk back, the hops, the per-node lists and heaps, the frame stack, the Paths): every // allocation fails once, in a new thread each time (an empty workspace), and the thread's next // calls give their references. - const auto g = random_graph(60, 300, 3, 21); + const auto g = seeded_graph(60, 300, 3, 21); const PathSelection expand(EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity, true, true); const PathSelection collapse(EdgeTieBreak::Deterministic, EdgePriority::Capacity, true, false); auto ksp_of = [&](const PathSelection& s) { @@ -209,7 +233,8 @@ TEST(SearchFaults, KspAndTheResolverFailCleanly) { const auto want_expand = ksp_of(expand); const auto want_collapse = ksp_of(collapse); ASSERT_GE(want_expand.size(), 3U); - // Layers 0 -> {1..5} -> {6..10} -> 59 with a parallel pair: 26 equal shortest walks. + // Layers 0 -> {1..5} -> {6..10} -> 59 with a parallel pair 10 -> 59: 25 equal shortest node + // walks, 30 when the pair is split into its members (the resolver below splits and keeps 7). std::vector layered; for (NodeId a = 1; a <= 5; ++a) layered.push_back({0, a, 1, 1}); for (NodeId a = 1; a <= 5; ++a) { @@ -229,6 +254,16 @@ TEST(SearchFaults, KspAndTheResolverFailCleanly) { } return true; }; + EXPECT_TRUE(same(want_expand, want_expand)); + auto damaged = want_expand; + damaged.pop_back(); + EXPECT_FALSE(same(damaged, want_expand)); + damaged = want_expand; + ++damaged.back().first; + EXPECT_FALSE(same(damaged, want_expand)); + damaged = want_expand; + damaged.back().second = want_expand.front().second; + EXPECT_FALSE(same(damaged, want_expand)); std::vector> calls = { [&] { EXPECT_TRUE(same(ksp_of(expand), want_expand)); }, [&] { EXPECT_TRUE(same(ksp_of(collapse), want_collapse)); }, @@ -238,17 +273,31 @@ TEST(SearchFaults, KspAndTheResolverFailCleanly) { for (std::size_t i = 0; i < got.size(); ++i) EXPECT_TRUE(got[i] == want_paths[i]); }, }; + const std::function every = [&] { + for (auto& call : calls) call(); + }; + const long harness = thread_allocations(); for (std::size_t c = 0; c < calls.size(); ++c) { long failures = 0; for (long k = 0;; ++k) { - const bool hit = fails_at(k, [&] { - in_fresh_thread(calls[c], [&] { - for (auto& call : calls) call(); - }); - }); + const bool hit = fails_in_fresh_thread_at(k, calls[c], every, "call " + std::to_string(c)); if (!hit) break; ++failures; } - EXPECT_GE(failures, 10) << "call " << c; + EXPECT_GE(failures - harness, 60) << "call " << c; // beyond the thread's own allocations + } +} + +TEST(SearchFaults, ResultComparisonRejectsEveryField) { + const auto g = make_graph(3, {{0, 1, 1, 1}, {1, 2, 1, 1}}); + const SpfOptions opts(Direction::Forward, PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)); + const auto good = spf(g, std::vector {0}, opts); + EXPECT_EQ(failures_of([&] { expect_same(good, good, "same"); }), 0); + for (int field = 0; field < 3; ++field) { + auto bad = good; + if (field == 0) bad.costs = std::vector {0, 1, 9}; + if (field == 1) bad.target_cost = 9; + if (field == 2) bad.dag = spf(g, std::vector {2}, opts).dag; + EXPECT_EQ(failures_of([&] { expect_same(bad, good, "different"); }), 1) << field; } } diff --git a/tests/cpp/search_reference.hpp b/tests/cpp/search_reference.hpp index fc077ce..e08ac6b 100644 --- a/tests/cpp/search_reference.hpp +++ b/tests/cpp/search_reference.hpp @@ -1,4 +1,4 @@ -// An independent reference of the search semantics (APPROACH 6) for the tests: the member graph +// An independent reference of the search semantics (docs/semantics.md#4-search) for the tests: the member graph // by an explicit per-pair selection, Bellman-Ford distances, the tight-edge DAG and the pruned // DAG by two-sided distances, and the canonical single path by enumerating every simple walk. // It shares no code with the traversal core (no queue, no lists, no extractor). @@ -15,19 +15,20 @@ #include "netgraph/core/graph.hpp" #include "netgraph/core/options.hpp" #include "netgraph/core/types.hpp" +#include "test_int128.hpp" namespace netgraph::core::test::ref { // An exact priority: residual / capacity as a rational, or an integer (den 1); `inf` above all. struct Prio { - __int128 num {0}; - __int128 den {1}; + Int128 num {0}; + Int128 den {1}; bool inf {false}; }; inline int cmp(const Prio& a, const Prio& b) { if (a.inf || b.inf) return a.inf == b.inf ? 0 : (a.inf ? 1 : -1); - const __int128 l = a.num * b.den; - const __int128 r = b.num * a.den; + const Int128 l = a.num * b.den; + const Int128 r = b.num * a.den; return l == r ? 0 : (l < r ? -1 : 1); } @@ -164,22 +165,43 @@ inline void walks(const Graph& g, const std::vector& mem, NodeId u, const } } +// Every simple walk from any start to an end over the members (walks above, from each start). +inline std::vector> all_walks(const Graph& g, const std::vector& mem, + const std::vector& starts, const std::vector& ends) { + std::vector is_end(static_cast(g.num_nodes()), 0); + for (NodeId t : ends) is_end[static_cast(t)] = 1; + std::vector> all; + for (NodeId s : starts) { + std::vector walk; + std::vector on(static_cast(g.num_nodes()), 0); + on[static_cast(s)] = 1; + walks(g, mem, s, is_end, walk, on, all); + } + return all; +} + +inline Cost walk_cost(const Graph& g, const std::vector& walk) { + Cost x = 0; + for (EdgeId e : walk) x += g.cost()[static_cast(e)]; + return x; +} + +// A walk's bottleneck: its lowest priority value (cmp order). +inline Prio bottleneck(const Query& q, const std::vector& walk) { + Prio b {0, 1, true}; + for (EdgeId e : walk) { + if (cmp(prio_of(q, e), b) < 0) b = prio_of(q, e); + } + return b; +} + // The canonical key (cost, -bottleneck under prefer, hops, edge-id sequence) as a strict order. inline bool key_less(const Query& q, const std::vector& a, const std::vector& b) { - const Graph& g = *q.g; - Cost ca = 0, cb = 0; - for (EdgeId e : a) ca += g.cost()[static_cast(e)]; - for (EdgeId e : b) cb += g.cost()[static_cast(e)]; + const Cost ca = walk_cost(*q.g, a); + const Cost cb = walk_cost(*q.g, b); if (ca != cb) return ca < cb; if (q.prefer) { - Prio ba {0, 1, true}, bb {0, 1, true}; - for (EdgeId e : a) { - if (cmp(prio_of(q, e), ba) < 0) ba = prio_of(q, e); - } - for (EdgeId e : b) { - if (cmp(prio_of(q, e), bb) < 0) bb = prio_of(q, e); - } - const int c = cmp(ba, bb); + const int c = cmp(bottleneck(q, a), bottleneck(q, b)); if (c != 0) return c > 0; } if (a.size() != b.size()) return a.size() < b.size(); @@ -189,16 +211,7 @@ inline bool key_less(const Query& q, const std::vector& a, const std::ve // The canonical single path from the start set to the end set, or nullopt. inline std::optional> canonical(const Query& q, const std::vector& mem, const std::vector& starts, const std::vector& ends) { - const Graph& g = *q.g; - std::vector is_end(static_cast(g.num_nodes()), 0); - for (NodeId t : ends) is_end[static_cast(t)] = 1; - std::vector> all; - for (NodeId s : starts) { - std::vector walk; - std::vector on(static_cast(g.num_nodes()), 0); - on[static_cast(s)] = 1; - walks(g, mem, s, is_end, walk, on, all); - } + const auto all = all_walks(*q.g, mem, starts, ends); if (all.empty()) return std::nullopt; return *std::min_element(all.begin(), all.end(), [&](const auto& a, const auto& b) { return key_less(q, a, b); }); } diff --git a/tests/cpp/search_tests.cpp b/tests/cpp/search_tests.cpp index 173a912..d93385a 100644 --- a/tests/cpp/search_tests.cpp +++ b/tests/cpp/search_tests.cpp @@ -1,23 +1,25 @@ -// The search of APPROACH 6 through the public spf and the traversal core's internal entries: the -// member graph and select_adjacency, the unique DAG in both directions, anycast pruning, the staged -// canonical single path on the review witnesses, the canonical predecessor order, both queues and +// The search through the public spf and the traversal core's internal entries: the +// member graph and select_adjacency, the unique DAG in both directions and the values that reach +// it only through the member graph, anycast pruning, the staged +// canonical single path on its witness graphs (hand-built examples), the canonical predecessor order, both queues and // their dispatch, and agreement with an independent reference (search_reference.hpp) on random -// graphs. +// graphs, one population of them built so that every rule of the single path's key decides +// some trials. #include #include #include -#include #include #include #include #include #include -#include #include +#include #include #include +#include "netgraph/core/dag_cache.hpp" #include "netgraph/core/detail/pred_dag_builder.hpp" #include "netgraph/core/detail/traversal.hpp" #include "netgraph/core/options.hpp" @@ -35,15 +37,6 @@ PathSelection sel(bool multipath = true, bool multi_edge = true, EdgeTieBreak ti return PathSelection(tie, prio, multipath, multi_edge); } -std::string error_of(const std::function& fn) { - try { - fn(); - } catch (const std::invalid_argument& e) { - return e.what(); - } - return ""; -} - SpfResult run(const Graph& g, std::vector roots, Direction dir, std::optional> targets, const PathSelection& s, const std::vector* residual = nullptr, Amount min_residual = 1, const Eligibility* elig = nullptr, SpfQueue queue = SpfQueue::Auto) { @@ -113,6 +106,8 @@ TEST(Search, CollapseBySelectAdjacency) { }; // Expand keeps every tight member; Deterministic Collapse the lowest EdgeId among the cheapest. EXPECT_EQ(member(sel()), (std::vector{0, 1, 2})); + // multipath and multi_edge default to true: a full search keeping every tight member. + EXPECT_EQ(member(PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Residual)), (std::vector{0, 1, 2})); EXPECT_EQ(member(sel(true, false)), (std::vector{0})); // PreferHigherPriority on Capacity: the highest capacity among the cheapest. EXPECT_EQ(member(sel(true, false, EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity)), (std::vector{1})); @@ -134,7 +129,7 @@ TEST(Search, CollapseBySelectAdjacency) { } TEST(Search, HeadroomRationalsBeyondDoubles) { - // review-1d-refine's witness: (a - 1) / a < a / (a + 1) for a = 2^54, while both round to the + // Headroom ratios a double cannot separate: (a - 1) / a < a / (a + 1) for a = 2^54, while both round to the // same double. Parallel 0->1 members: id 0 residual a - 1 of capacity a, id 1 residual a of // capacity a + 1; Headroom Collapse must keep id 1. const Amount a = Amount {1} << 54; @@ -157,16 +152,20 @@ TEST(Search, FullDagForwardAndReverse) { expect_canonical(g, f.dag); auto r = run(g, {3}, Direction::Reverse, std::nullopt, sel()); EXPECT_EQ(*r.costs, (std::vector{2, 1, 1, 0})); - // The reverse DAG toward 3 is the forward-oriented set of tight edges toward 3. + // The reverse DAG toward 3 is the forward-oriented set of tight edges toward 3. It differs from + // the forward DAG from 0 although 3 is a node that search reaches: each search keeps the edges + // tight in its own direction (0->2 forward only, 2->3 reverse only). EXPECT_EQ(edges_of(r.dag), (std::vector{0, 1, 3, 4})); expect_canonical(g, r.dag); + // On the same root the directions differ too: no edge enters 0, so the reverse DAG is empty. + EXPECT_TRUE(run(g, {0}, Direction::Reverse, std::nullopt, sel()).dag.via_edges().empty()); // Unreached nodes keep kUnreachable. auto u = run(g, {2}, Direction::Forward, std::nullopt, sel()); EXPECT_EQ(*u.costs, (std::vector{kUnreachable, kUnreachable, 0, 1})); } TEST(Search, PredecessorOrderIsAscendingViaIndependentlyOfDiscovery) { - // review-1d-refine's four-node witness: ids 0: 0->1 (1), 1: 0->2 (2), 2: 1->3 (2), 3: 2->3 (1). + // A four-node witness: ids 0: 0->1 (1), 1: 0->2 (2), 2: 1->3 (2), 3: 2->3 (1). // Node 3's tight parents are discovered via 2 (from node 1, settled first) and then via 3; the // list holds them newest first, [3, 2]; the DAG must list [2, 3] whatever the queue. auto g = make_graph(4, {{0, 1, 1, 1}, {0, 2, 1, 2}, {1, 3, 1, 2}, {2, 3, 1, 1}}); @@ -188,6 +187,25 @@ TEST(Search, PredecessorOrderIsAscendingViaIndependentlyOfDiscovery) { EXPECT_EQ(edges_of(rev.dag), (std::vector{0, 1, 2, 3})); } +// The canonical-form check reports each defect of a hand-built DAG: a descending via within a +// child, a wrong parent, an entry under a child its edge does not enter, an ascending list that +// is not the sorted via; the correct DAG passes. +TEST(Search, CanonicalFormCheckReportsEachDefect) { + // ids: 0: 0->1, 1: 0->1, 2: 0->2 (cost 2), 3: 1->2. + auto g = make_graph(3, {{0, 1, 1, 1}, {0, 1, 1, 1}, {0, 2, 1, 2}, {1, 2, 1, 1}}); + const auto failures = [&](std::vector nodes, std::vector offsets, std::vector parents, + std::vector via, std::vector ascending) { + const auto dag = detail::PredDAGBuilder::of_parts(g, std::move(nodes), std::move(offsets), std::move(parents), + std::move(via), std::move(ascending)); + return failures_of([&] { expect_canonical(g, dag); }); + }; + EXPECT_EQ(failures({1, 2}, {0, 2, 3}, {0, 0, 1}, {0, 1, 3}, {0, 1, 3}), 0); + EXPECT_GT(failures({1, 2}, {0, 2, 3}, {0, 0, 1}, {1, 0, 3}, {0, 1, 3}), 0) << "descending via"; + EXPECT_GT(failures({1, 2}, {0, 2, 3}, {0, 0, 0}, {0, 1, 3}, {0, 1, 3}), 0) << "wrong parent"; + EXPECT_GT(failures({1}, {0, 3}, {0, 0, 1}, {0, 1, 3}, {0, 1, 3}), 0) << "wrong child"; + EXPECT_GT(failures({1, 2}, {0, 2, 3}, {0, 0, 1}, {0, 1, 3}, {0, 1, 2}), 0) << "ascending list"; +} + TEST(Search, AnycastPruningAndDirectionIndependence) { // 0->1 (1), 1->2 (1), 0->3 (2), 3->2 (5), 1->4 (5): targets {2, 4}: nearest is 2 at cost 2. auto g = make_graph(5, {{0, 1, 1, 1}, {1, 2, 1, 1}, {0, 3, 1, 2}, {3, 2, 1, 5}, {1, 4, 1, 5}}); @@ -298,9 +316,49 @@ TEST(Search, ValidationBeforeAnyWorkInTheContractOrder) { SpfOptions good(Direction::Forward, sel()); EXPECT_EQ(error_of([&] { (void)spf(g, std::vector {0}, good, static_cast(3)); }), "queue: 3 is not a value of SpfQueue"); + // The enumerations come before every other check, in the order direction, the selection (its + // tie break, then its priority), the queue. Each call has every later defect too (empty roots, + // multipath = false without targets, a short residual, min_residual 0, a foreign Eligibility); + // repairing the reported defect moves the error to the next one. + SpfOptions every(Direction::Forward, sel(false)); + every.residual = std::span(short_res); + every.min_residual = 0; + every.elig = &foreign; + every.direction = static_cast(7); + every.selection.tie_break = static_cast(6); + every.selection.priority = static_cast(5); + const auto bad_queue = static_cast(3); + const auto staircase_error = [&] { return error_of([&] { (void)spf(g, std::vector {}, every, bad_queue); }); }; + EXPECT_EQ(staircase_error(), "direction: 7 is not a value of Direction"); + every.direction = Direction::Forward; + EXPECT_EQ(staircase_error(), "selection.tie_break: 6 is not a value of EdgeTieBreak"); + every.selection.tie_break = EdgeTieBreak::Deterministic; + EXPECT_EQ(staircase_error(), "selection.priority: 5 is not a value of EdgePriority"); + every.selection.priority = EdgePriority::Capacity; + EXPECT_EQ(staircase_error(), "queue: 3 is not a value of SpfQueue"); + EXPECT_EQ(error_of([&] { (void)spf(g, std::vector {}, every, SpfQueue::Auto); }), "roots: the node set is empty"); } -TEST(Search, StagedPathReview13D3Witness) { +// A residual array with several defects at once (one error, from the shared edge-amount check): its +// length before any entry, then its first entry outside [0, capacity] in EdgeId order, before +// min_residual and the Eligibility; in both directions, with and without targets. +TEST(Search, ResidualDefectsReportTheFirstInOrder) { + const auto g = edge_amount_graph(); + const auto other = make_graph(4, {{0, 1, 2, 1}}); + const auto foreign = other.eligibility({}, std::vector {0}); + for (const auto& c : edge_amount_defects()) { + for (auto dir : {Direction::Forward, Direction::Reverse}) { + EXPECT_EQ(error_of([&] { (void)run(g, {0}, dir, std::nullopt, sel(), &c.amounts, 0, &foreign); }), + "residual" + c.error); + EXPECT_EQ(error_of([&] { (void)run(g, {0}, dir, std::vector {3}, sel(false), &c.amounts, 0, &foreign); }), + "residual" + c.error); + } + } + const auto bounds = edge_amounts_at_the_bounds(); + EXPECT_EQ(error_of([&] { (void)run(g, {0}, Direction::Forward, std::nullopt, sel(), &bounds); }), ""); +} + +TEST(Search, StagedPathWithASharedBottleneckTakesTheFewestHops) { // s=0 -> v=1 cost 1 prio 1; v -> t=4 cost 3 prio 1; v -> a=2 -> b=3 -> t costs 1+1+1 prio 2. // Capacities carry the priority. Under PreferHigherPriority the bottleneck of every walk is 1 // (the shared s->v), so B* = 1 and the canonical walk is the two-hop s, v, t. @@ -345,7 +403,7 @@ TEST(Search, StagedPathBottleneckThenHopsThenIds) { } TEST(Search, StagedPathPrefixTrapNeedsTheFullKey) { - // review-1d-refine section 1: a cost-2 direct prefix 0->2 with bottleneck 5 against a two-edge + // A cost-2 direct prefix 0->2 with bottleneck 5 against a two-edge // cost-2 prefix 0->1->2 with bottleneck 10, then a cost-1 edge of priority 1 to the target 3. // Both complete walks cost 3 with bottleneck 1, so hops decide: [0->2, 2->3]. A search that kept // only the wider prefix would return the three-hop walk. @@ -368,11 +426,11 @@ TEST(Search, MultiRootSinglePathStartsAtTheNearestRootByHops) { EXPECT_EQ(edges_of(r.dag), (std::vector{inv[0]})); } -TEST(Search, StagedPathReview13CanonicalWitnesses) { - // review-13 contract_probes.py: the C2 diamond (0-1-3 and 0-2-3 both cost 10) takes 0-2-3, +TEST(Search, StagedPathTiesGoToTheSmallerEdgeIdSequence) { + // The diamond (0-1-3 and 0-2-3 both cost 10) takes 0-2-3, // whose edge-id sequence is smaller; the equal three-hop graph takes 0-1-4-5. Both tie modes // (all capacities 1: priority ties), both directions. - auto c2 = make_graph(4, {{0, 1, 1, 9}, {0, 2, 1, 1}, {1, 3, 1, 1}, {2, 3, 1, 9}}); + auto diamond = make_graph(4, {{0, 1, 1, 9}, {0, 2, 1, 1}, {1, 3, 1, 1}, {2, 3, 1, 9}}); auto three = make_graph(6, {{0, 2, 1, 1}, {2, 3, 1, 1}, {3, 5, 1, 1}, {0, 1, 1, 1}, {1, 4, 1, 1}, {4, 5, 1, 1}}); auto nodes_of = [](const Graph& g, const PredDAG& dag) { std::set out; @@ -385,9 +443,9 @@ TEST(Search, StagedPathReview13CanonicalWitnesses) { for (auto tie : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { for (auto prio : {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}) { const auto s = sel(false, true, tie, prio); - auto a = run(c2, {0}, Direction::Forward, std::vector {3}, s); - EXPECT_EQ(nodes_of(c2, a.dag), (std::set{0, 2, 3})); - auto ar = run(c2, {3}, Direction::Reverse, std::vector {0}, s); + auto a = run(diamond, {0}, Direction::Forward, std::vector {3}, s); + EXPECT_EQ(nodes_of(diamond, a.dag), (std::set{0, 2, 3})); + auto ar = run(diamond, {3}, Direction::Reverse, std::vector {0}, s); EXPECT_EQ(edges_of(ar.dag), edges_of(a.dag)); auto b = run(three, {0}, Direction::Forward, std::vector {5}, s); EXPECT_EQ(nodes_of(three, b.dag), (std::set{0, 1, 4, 5})); @@ -412,15 +470,6 @@ struct RandomCase { std::optional> targets; }; -Graph random_graph(std::mt19937& rng, int n, int m, Cost max_cost, Cost scale = 1) { - std::vector edges; - for (int i = 0; i < m; ++i) { - edges.push_back({static_cast(rng() % static_cast(n)), static_cast(rng() % static_cast(n)), - static_cast(rng() % 5), scale * static_cast(1 + rng() % static_cast(max_cost))}); - } - return make_graph(n, edges); -} - // The expected result of a query by the reference: costs, the DAG's edges, target_cost. struct Expected { std::optional> costs; @@ -428,28 +477,23 @@ struct Expected { std::optional target_cost; }; -Expected expect_of(const RandomCase& c) { - const Graph& g = c.g; +ref::Query query_of(const RandomCase& c) { ref::Query q; - q.g = &g; + q.g = &c.g; q.elig = c.elig ? &*c.elig : nullptr; q.residual = c.use_res ? &c.residual : nullptr; q.min_residual = c.min_residual; q.multi_edge = c.selection.multi_edge; q.prefer = c.selection.tie_break == EdgeTieBreak::PreferHigherPriority; q.priority = c.selection.priority; + return q; +} + +Expected expect_of(const RandomCase& c) { + const Graph& g = c.g; + const ref::Query q = query_of(c); const auto mem = ref::members(q); - auto live = [&](const std::vector& set) { - std::vector s(set.begin(), set.end()); - std::sort(s.begin(), s.end()); - s.erase(std::unique(s.begin(), s.end()), s.end()); - std::vector out; - for (NodeId v : s) { - if (q.elig == nullptr || q.elig->node_ok(v)) out.push_back(v); - } - return out; - }; - const auto roots = live(c.roots); + const auto roots = allowed_nodes(c.roots, q.elig); const bool reverse = c.direction == Direction::Reverse; Expected out; if (!c.targets.has_value()) { @@ -459,7 +503,7 @@ Expected expect_of(const RandomCase& c) { out.edges.assign(dag.begin(), dag.end()); return out; } - const auto targets = live(*c.targets); + const auto targets = allowed_nodes(*c.targets, q.elig); out.target_cost = kUnreachable; if (roots.empty() || targets.empty()) return out; const auto& starts = reverse ? targets : roots; @@ -480,8 +524,9 @@ Expected expect_of(const RandomCase& c) { TEST(Search, RandomQueriesAgreeWithTheReferenceOnBothQueues) { std::mt19937 rng(20261006); - int checked = 0; - int single = 0; + int full = 0; // full searches that keep an edge + int multipath = 0; // multipath target searches that reach a target + int single = 0; // single-path target searches that reach a target for (int trial = 0; trial < 3000; ++trial) { const int n = 2 + static_cast(rng() % 7); const int m = static_cast(rng() % 16); @@ -513,14 +558,10 @@ TEST(Search, RandomQueriesAgreeWithTheReferenceOnBothQueues) { const std::size_t nr = 1 + rng() % static_cast(std::max(1, n / 2)); c.roots.assign(perm.begin(), perm.begin() + static_cast(nr)); if (rng() % 4 == 0) c.roots.push_back(c.roots.front()); - if (with_targets) { + if (with_targets) { // never empty: nr <= n / 2 < n const std::size_t nt = 1 + rng() % static_cast(std::max(1, perm.size() - nr)); c.targets = std::vector(perm.begin() + static_cast(nr), perm.begin() + static_cast(std::min(perm.size(), nr + nt))); - if (c.targets->empty()) c.targets = std::nullopt; - } - if (!c.targets.has_value() && !c.selection.multipath) { - c.selection = PathSelection(c.selection.tie_break, c.selection.priority, true, c.selection.multi_edge); } const auto want = expect_of(c); for (auto queue : {SpfQueue::Auto, SpfQueue::Heap}) { @@ -531,17 +572,108 @@ TEST(Search, RandomQueriesAgreeWithTheReferenceOnBothQueues) { ASSERT_EQ(got.target_cost, want.target_cost) << "trial " << trial; expect_canonical(c.g, got.dag); } - ++checked; - if (c.targets.has_value() && !c.selection.multipath && want.target_cost != kUnreachable) ++single; + full += !c.targets.has_value() && !want.edges.empty() ? 1 : 0; + const bool reached = c.targets.has_value() && want.target_cost != kUnreachable; + multipath += reached && c.selection.multipath ? 1 : 0; + single += reached && !c.selection.multipath ? 1 : 0; } - EXPECT_EQ(checked, 3000); + EXPECT_GT(full, 300); + EXPECT_GT(multipath, 300); EXPECT_GT(single, 300); } +namespace { + +// Whether the hop count decides a single-path query's canonical walk: another walk ties it on +// cost (and bottleneck under PreferHigherPriority) with more hops but a smaller edge-id sequence. +bool hops_decide(const RandomCase& c) { + const ref::Query q = query_of(c); + const auto mem = ref::members(q); + const bool reverse = c.direction == Direction::Reverse; + const auto roots = allowed_nodes(c.roots, q.elig); + const auto targets = allowed_nodes(*c.targets, q.elig); + const auto& starts = reverse ? targets : roots; + const auto& ends = reverse ? roots : targets; + const auto canonical = ref::canonical(q, mem, starts, ends); + if (!canonical) return false; + const std::vector& walk = *canonical; + for (const auto& w : ref::all_walks(c.g, mem, starts, ends)) { + if (ref::walk_cost(c.g, w) == ref::walk_cost(c.g, walk) && + (!q.prefer || ref::cmp(ref::bottleneck(q, w), ref::bottleneck(q, walk)) == 0) && w.size() > walk.size() && + w < walk) { + return true; + } + } + return false; +} + +} // namespace + +// The single-path rules that the random comparison above reaches only now and then, on a +// population built for them: a few nodes joined by many parallel edges of cost 1 or 2, a residual +// on every query, one root and one target. Each rule is guarded by the trials in which it decides +// the reference's answer, against a twin query without it: the Headroom ratio (the twin reads the +// residual alone), the capacity priority (the twin reads the residual), the bottleneck key under +// PreferHigherPriority (the twin breaks ties deterministically, on Expand member graphs, where the +// tie mode decides nothing else), and the hop count (hops_decide). Both queues agree with the +// reference on every trial. +TEST(Search, RandomSinglePathsExerciseEveryKeyRule) { + std::mt19937 rng(20261010); + int headroom = 0, capacity = 0, bottleneck = 0, hops = 0; + for (int trial = 0; trial < 8000; ++trial) { + const int n = 3 + static_cast(rng() % 4); + const int m = 6 + static_cast(rng() % 14); + const EdgePriority prios[3] = {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}; + const EdgePriority prio = prios[rng() % 3]; + const bool prefer = rng() % 4 != 0; + const bool expand = rng() % 2 == 0; + RandomCase c {random_graph(rng, n, m, 2), {}, true, 1, std::nullopt, + PathSelection(prefer ? EdgeTieBreak::PreferHigherPriority : EdgeTieBreak::Deterministic, prio, false, + expand), + (rng() % 2) == 0 ? Direction::Forward : Direction::Reverse, {}, std::nullopt}; + c.residual.resize(static_cast(c.g.num_edges())); + for (std::size_t e = 0; e < c.residual.size(); ++e) { + const Amount cap = c.g.capacity_units()[e]; + c.residual[e] = cap == 0 ? 0 : static_cast(rng() % static_cast(cap + 1)); + } + const auto root = static_cast(rng() % static_cast(n)); + c.roots = {root}; + c.targets = std::vector {static_cast((root + 1 + rng() % static_cast(n - 1)) % n)}; + const auto want = expect_of(c); + for (auto queue : {SpfQueue::Auto, SpfQueue::Heap}) { + auto got = run(c.g, c.roots, c.direction, c.targets, c.selection, &c.residual, c.min_residual, nullptr, queue); + ASSERT_EQ(edges_of(got.dag), want.edges) << "trial " << trial << " queue " << static_cast(queue); + ASSERT_EQ(got.target_cost, want.target_cost) << "trial " << trial; + } + if (want.target_cost == kUnreachable) continue; + auto differs = [&](const std::function& change) { + RandomCase twin = c; + change(twin); + return expect_of(twin).edges != want.edges ? 1 : 0; + }; + const auto residual_only = [](RandomCase& t) { t.selection.priority = EdgePriority::Residual; }; + if (prio == EdgePriority::Headroom) headroom += differs(residual_only); + if (prio == EdgePriority::Capacity) capacity += differs(residual_only); + if (prefer && expand) { + bottleneck += differs([](RandomCase& t) { t.selection.tie_break = EdgeTieBreak::Deterministic; }); + } + hops += hops_decide(c) ? 1 : 0; + } + // Each rule decides 42 to 66 of the 8,000 trials with this seed: the floors leave room for a + // generator change while staying far above the one or two trials of the comparison above. + EXPECT_GT(headroom, 20); + EXPECT_GT(capacity, 20); + EXPECT_GT(bottleneck, 20); + EXPECT_GT(hops, 20); +} + TEST(Search, DirectionsWithExchangedEndpointsDescribeTheSameWalks) { // A forward search from S with targets T and a reverse search rooted at T with targets S give - // the same pruned DAG, target cost and single path, for every selection. + // the same pruned DAG, target cost and single path, for both tie modes with and without + // multipath and multi-edge, under the capacity priority (the other priorities are compared with + // the reference in RandomQueriesAgreeWithTheReferenceOnBothQueues). std::mt19937 rng(7); + int reached = 0; // comparisons where a target is reached (a non-empty DAG) for (int trial = 0; trial < 500; ++trial) { const int n = 4 + static_cast(rng() % 8); auto g = random_graph(rng, n, 4 + static_cast(rng() % 20), 3); @@ -558,55 +690,154 @@ TEST(Search, DirectionsWithExchangedEndpointsDescribeTheSameWalks) { auto r = run(g, t, Direction::Reverse, s, s1); ASSERT_EQ(f.target_cost, r.target_cost) << trial; ASSERT_EQ(edges_of(f.dag), edges_of(r.dag)) << trial; + reached += f.target_cost != kUnreachable ? 1 : 0; } } } } + RecordProperty("reached", reached); + EXPECT_GT(reached, 1500); // not vacuous: of 4000 comparisons } TEST(Search, TieModesShareTheDagOfAFixedMemberGraph) { // Under Expand the member graph does not depend on the tie mode or the priority, so neither - // does the DAG; under Collapse the member may differ (and with it the DAG). + // does the DAG; under Collapse the member may differ (and with it the DAG). Half of the graphs, + // with and without targets, have a random residual (0 to the capacity), so the residual and + // headroom priorities read values that differ from the capacities. std::mt19937 rng(11); + int nonempty = 0; + int with_residual = 0; // nonempty DAGs under a residual for (int trial = 0; trial < 300; ++trial) { auto g = random_graph(rng, 6, 14, 2); std::optional> t; if (trial % 2 == 0) t = std::vector {5}; - const auto base = edges_of(run(g, {0}, Direction::Forward, t, sel()).dag); + std::vector res; + if (trial % 4 < 2) { + res.resize(static_cast(g.num_edges())); + for (std::size_t e = 0; e < res.size(); ++e) { + const Amount cap = g.capacity_units()[e]; + res[e] = cap == 0 ? 0 : static_cast(rng() % static_cast(cap + 1)); + } + } + const std::vector* r = res.empty() ? nullptr : &res; + const auto base = edges_of(run(g, {0}, Direction::Forward, t, sel(), r).dag); + nonempty += base.empty() ? 0 : 1; + with_residual += !base.empty() && r != nullptr ? 1 : 0; + for (auto tie : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { + for (auto prio : {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}) { + EXPECT_EQ(edges_of(run(g, {0}, Direction::Forward, t, sel(true, true, tie, prio), r).dag), base) << trial; + } + } + } + RecordProperty("nonempty", nonempty); + RecordProperty("with_residual", with_residual); + EXPECT_GT(nonempty, 150); // not vacuous: of 300 graphs + EXPECT_GT(with_residual, 50); // of the 150 graphs with a residual (this seed: 76) +} + +TEST(Search, CapacityAndResidualValuesActOnlyThroughTheMemberGraph) { + // Two graphs with the same edges, in EdgeId order so the ids agree, where the second raises + // every positive capacity by 1 to 5 units (a zero capacity stays zero). On half of the trials + // each gets a residual that gates the same edges at min_residual (1 or 2 units) with other + // values. The member graph is then the same, so the DAG must be: in both directions, with and + // without targets, under every tie mode and priority keeping every member, and under the + // Deterministic member rule (which reads no capacity or residual value). + std::mt19937 rng(23); + int nonempty = 0; + int gated = 0; // nonempty DAGs where the residual excluded an edge of at least 1 unit + for (int trial = 0; trial < 300; ++trial) { + auto g = random_graph(rng, 6, 14, 2); + const auto m = static_cast(g.num_edges()); + std::vector rows; + for (std::size_t e = 0; e < m; ++e) { + const Amount cap = g.capacity_units()[e]; + rows.push_back({g.edge_src()[e], g.edge_dst()[e], cap == 0 ? 0 : cap + 1 + static_cast(rng() % 5), + g.cost()[e]}); + } + auto h = make_graph(6, rows); + for (std::size_t e = 0; e < m; ++e) { + ASSERT_EQ(h.edge_src()[e], g.edge_src()[e]); + ASSERT_EQ(h.edge_dst()[e], g.edge_dst()[e]); + ASSERT_EQ(h.cost()[e], g.cost()[e]); + const Amount cg = g.capacity_units()[e]; + ASSERT_TRUE(cg == 0 ? h.capacity_units()[e] == 0 : h.capacity_units()[e] > cg); + } + std::vector rg; + std::vector rh; + const Amount minr = 1 + static_cast(rng() % 2); + bool excluded = false; + if (trial % 2 == 0) { + for (std::size_t e = 0; e < m; ++e) { + const Amount cg = g.capacity_units()[e]; + const Amount ch = h.capacity_units()[e]; + rg.push_back(cg == 0 ? 0 : static_cast(rng() % static_cast(cg + 1))); + if (rg.back() >= minr) { + rh.push_back(minr + static_cast(rng() % static_cast(ch - minr + 1))); + } else { + rh.push_back(static_cast(rng() % static_cast(std::min(minr - 1, ch) + 1))); + excluded = excluded || cg >= 1; + } + } + } + const std::vector* res_g = rg.empty() ? nullptr : &rg; + const std::vector* res_h = rh.empty() ? nullptr : &rh; + std::optional> t; + if (trial % 4 < 2) t = std::vector {5}; + std::vector sels; for (auto tie : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { for (auto prio : {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}) { - EXPECT_EQ(edges_of(run(g, {0}, Direction::Forward, t, sel(true, true, tie, prio)).dag), base); + sels.push_back(sel(true, true, tie, prio)); + } + } + sels.push_back(sel(true, false, EdgeTieBreak::Deterministic, EdgePriority::Capacity)); + for (const Direction dir : {Direction::Forward, Direction::Reverse}) { + for (const auto& s : sels) { + const auto want = edges_of(run(g, {0}, dir, t, s, res_g, minr).dag); + EXPECT_EQ(edges_of(run(h, {0}, dir, t, s, res_h, minr).dag), want) << trial; + nonempty += want.empty() ? 0 : 1; + gated += !want.empty() && excluded ? 1 : 0; } } } + RecordProperty("nonempty", nonempty); + RecordProperty("gated", gated); + EXPECT_GT(nonempty, 1500); // not vacuous: of 300 x 2 x 7 = 4200 comparisons (this seed: 2205) + EXPECT_GT(gated, 500); // of the 2100 comparisons under a residual (this seed: 840) } TEST(Search, QueueDispatchAtTheWidthLimit) { -#if NETGRAPH_CORE_PRIVATE_HOOKS - auto& counts = detail::thread_queue_counts(); - auto queue_of = [&](const Graph& g, SpfQueue q) { - const auto before = counts; - auto r = run(g, {0}, Direction::Forward, std::nullopt, sel(), nullptr, 1, nullptr, q); - EXPECT_EQ(*r.costs, (std::vector{0, g.cost()[0], kUnreachable})); - return counts.buckets > before.buckets ? std::string("buckets") : std::string("heap"); - }; // W = max_cost / gcd + 1: 65,535 / 1 + 1 = 65,536 buckets (the limit) and 65,536 + 1 above it; - // a large common gcd makes the width 2. + // a large common gcd makes the width 2 big / big + 1 = 3; a graph without edges has width 1. + // The widths and the dispatch rule (Auto takes the bucket queue up to the limit, Heap never) + // hold in every build; the queue each search takes is counted by a private hook. auto at = make_graph(3, {{0, 1, 1, 65535}, {1, 0, 1, 1}}); auto above = make_graph(3, {{0, 1, 1, 65536}, {1, 0, 1, 1}}); const Cost big = Cost {1} << 40; auto gcd = make_graph(3, {{0, 1, 1, big}, {1, 0, 1, 2 * big}}); + auto bare = make_graph(2, {}); EXPECT_EQ(detail::bucket_width(at), 65536); EXPECT_EQ(detail::bucket_width(above), 65537); EXPECT_EQ(detail::bucket_width(gcd), 3); + EXPECT_EQ(detail::bucket_width(bare), 1); + EXPECT_TRUE(detail::uses_buckets(at, SpfQueue::Auto)); + EXPECT_FALSE(detail::uses_buckets(above, SpfQueue::Auto)); + EXPECT_TRUE(detail::uses_buckets(gcd, SpfQueue::Auto)); + EXPECT_TRUE(detail::uses_buckets(bare, SpfQueue::Auto)); + EXPECT_FALSE(detail::uses_buckets(at, SpfQueue::Heap)); + EXPECT_FALSE(detail::uses_buckets(gcd, SpfQueue::Heap)); +#if NETGRAPH_CORE_PRIVATE_HOOKS + auto& counts = detail::thread_queue_counts(); + auto queue_of = [&](const Graph& g, SpfQueue q) { + const auto before = counts; + auto r = run(g, {0}, Direction::Forward, std::nullopt, sel(), nullptr, 1, nullptr, q); + EXPECT_EQ(*r.costs, (std::vector{0, g.cost()[0], kUnreachable})); + return counts.buckets > before.buckets ? std::string("buckets") : std::string("heap"); + }; EXPECT_EQ(queue_of(at, SpfQueue::Auto), "buckets"); EXPECT_EQ(queue_of(above, SpfQueue::Auto), "heap"); EXPECT_EQ(queue_of(gcd, SpfQueue::Auto), "buckets"); EXPECT_EQ(queue_of(at, SpfQueue::Heap), "heap"); EXPECT_EQ(queue_of(gcd, SpfQueue::Heap), "heap"); - // A graph without edges has width 1: buckets. - auto bare = make_graph(2, {}); - EXPECT_EQ(detail::bucket_width(bare), 1); #else GTEST_SKIP() << "the queue counters are a private hook"; #endif @@ -652,9 +883,10 @@ std::pair, std::vector> dijkstra(const Graph& g, const } // namespace -TEST(Search, BucketWraparoundRingsAndChains) { - // Small widths with distances many times the width: the cyclic buckets wrap around repeatedly; - // rings and chains keep a frontier of one item (the inline item and its promotion), and chords +TEST(Search, BucketWraparoundOnRings) { + // Small widths with distances many times the width: the cyclic buckets wrap around repeatedly. + // A plain ring, searched from node 0, runs like a chain with a frontier of one item (the inline + // item and its promotion); chords, shortcuts and parallel edges on the other three rings // promote it. Every result equals the heap's and the textbook Dijkstra's. std::mt19937 rng(5); for (int shape = 0; shape < 4; ++shape) { @@ -687,49 +919,72 @@ TEST(Search, EarlyStopsLeaveNothingForTheNextQuery) { auto huge = random_graph(rng, 20000, 40000, 5); const auto [d_big, t_big] = dijkstra(big, {0}); const auto [d_small, t_small] = dijkstra(small, {1}); + // The huge reverse search, first on a fresh thread (an empty workspace): each repetition below + // must give the same. + std::optional h_want; + std::thread([&] { h_want.emplace(run(huge, {5}, Direction::Reverse, std::vector {7}, sel(false))); }).join(); + ASSERT_NE(h_want->target_cost, kUnreachable); + int stopped = 0; // target searches that reached their target (and stopped there) for (int round = 0; round < 6; ++round) { for (auto q : {SpfQueue::Auto, SpfQueue::Heap}) { auto stop = run(big, {0}, Direction::Forward, std::vector {static_cast(1 + round)}, sel(), nullptr, 1, nullptr, q); EXPECT_EQ(stop.target_cost, d_big[static_cast(1 + round)]); + stopped += stop.target_cost != kUnreachable ? 1 : 0; auto s = run(small, {1}, Direction::Forward, std::nullopt, sel(), nullptr, 1, nullptr, q); EXPECT_EQ(*s.costs, d_small); EXPECT_EQ(edges_of(s.dag), t_small); - if (round % 2 == 0) (void)run(huge, {5}, Direction::Reverse, std::vector {7}, sel(false), nullptr, 1, nullptr, q); + if (round % 2 == 0) { + const auto h = run(huge, {5}, Direction::Reverse, std::vector {7}, sel(false), nullptr, 1, nullptr, q); + EXPECT_EQ(h.target_cost, h_want->target_cost); + EXPECT_EQ(edges_of(h.dag), edges_of(h_want->dag)); + } auto b = run(big, {0}, Direction::Forward, std::nullopt, sel(), nullptr, 1, nullptr, q); EXPECT_EQ(*b.costs, d_big); EXPECT_EQ(edges_of(b.dag), t_big); } } + EXPECT_EQ(stopped, 12); } TEST(Search, LargeGraphsBothQueuesIdentical) { - // Every SpfResult field identical on both queues, for full and target searches in both - // directions, on graphs where Auto takes the buckets. + // Every SpfResult field identical on both queues, on graphs where Auto takes the buckets: in + // both directions, the full multipath search and the target searches (multipath, and single + // path under each tie mode; a single-path search needs targets), with and without multi_edge + // across the shapes. std::mt19937 rng(17); + int reached = 0; for (int shape = 0; shape < 3; ++shape) { auto g = random_graph(rng, 2000, 16000, shape == 2 ? 1 : 31); ASSERT_TRUE(detail::uses_buckets(g, SpfQueue::Auto)); - for (int k = 0; k < 6; ++k) { - const auto s = sel(k % 2 == 0, k % 3 != 0, k % 2 == 0 ? EdgeTieBreak::Deterministic : EdgeTieBreak::PreferHigherPriority, - EdgePriority::Capacity); - const Direction dir = k % 2 == 0 ? Direction::Forward : Direction::Reverse; - std::optional> t; - if (k >= 2) t = std::vector {static_cast(100 + k), static_cast(900 + k)}; - if (!t.has_value() && !s.multipath) continue; - auto a = run(g, {static_cast(k)}, dir, t, s, nullptr, 1, nullptr, SpfQueue::Auto); - auto h = run(g, {static_cast(k)}, dir, t, s, nullptr, 1, nullptr, SpfQueue::Heap); - EXPECT_EQ(a.costs, h.costs); - EXPECT_EQ(a.target_cost, h.target_cost); - EXPECT_TRUE(a.dag == h.dag); + int k = 0; + for (const Direction dir : {Direction::Forward, Direction::Reverse}) { + for (int kind = 0; kind < 4; ++kind, ++k) { + const auto tie = kind == 3 ? EdgeTieBreak::PreferHigherPriority : EdgeTieBreak::Deterministic; + const auto s = sel(kind < 2, (kind + shape) % 2 == 0, tie, EdgePriority::Capacity); + std::optional> t; + if (kind > 0) t = std::vector {static_cast(100 + k), static_cast(900 + k)}; + auto a = run(g, {static_cast(k)}, dir, t, s, nullptr, 1, nullptr, SpfQueue::Auto); + auto h = run(g, {static_cast(k)}, dir, t, s, nullptr, 1, nullptr, SpfQueue::Heap); + EXPECT_EQ(a.costs, h.costs); + EXPECT_EQ(a.target_cost, h.target_cost); + EXPECT_TRUE(a.dag == h.dag); + reached += t.has_value() && a.target_cost.value_or(kUnreachable) != kUnreachable; + } } } + EXPECT_GT(reached, 12); // of the 18 target searches: not comparisons of unreached targets } TEST(Search, InternalEntriesMatchThePublicSearch) { // route_search (CapacityAware), support_route (CostOnly on the cached support) and - // static_costs (rosters) against spf on the same questions. + // static_costs (rosters) against spf on the same questions; support_route under residual + // priority views against the independent reference (search_reference.hpp). std::mt19937 rng(23); + int routed = 0; // gated route searches that reach a destination + int projected = 0; // static projections that reach a destination + int residual_views = 0; + int view_changes = 0; // the residual view selected another route than the static one for (int trial = 0; trial < 400; ++trial) { const int n = 3 + static_cast(rng() % 8); auto g = random_graph(rng, n, 3 + static_cast(rng() % 22), 3); @@ -754,6 +1009,7 @@ TEST(Search, InternalEntriesMatchThePublicSearch) { ASSERT_TRUE(got.has_value()); EXPECT_EQ(got->cost, *want.target_cost); EXPECT_EQ(got->edges, edges_of(want.dag)); + ++routed; } // CostOnly: the static support toward dests projected with static priorities equals the // static search from src (no residual: every priority reads capacities). @@ -767,6 +1023,36 @@ TEST(Search, InternalEntriesMatchThePublicSearch) { } else { EXPECT_EQ(proj.edges, edges_of(stat.dag)) << trial; EXPECT_EQ(proj.cost, *stat.target_cost); + ++projected; + } + // CostOnly creation reads its priorities on a residual view without gating on it: + // the projection of the static support under each priority read on `residual` equals + // the independent reference's walks (or canonical path) over the static member graph + // with that priority, gated at no residual (min_residual 0). + for (auto prio : {EdgePriority::Residual, EdgePriority::Headroom, EdgePriority::Capacity}) { + const auto sp = sel(mp, me, tie, prio); + const detail::PriorityValues on_residual {&g, prio, residual}; + auto rproj = detail::support_route(g, detail::PredDAGBuilder::ascending(support), src, dests, sp, + detail::PriorityFn::of(on_residual)); + ref::Query q; + q.g = &g; + q.residual = &residual; + q.min_residual = 0; + q.multi_edge = me; + q.prefer = tie == EdgeTieBreak::PreferHigherPriority; + q.priority = prio; + const auto mem = ref::members(q); + const auto [dstar, walks] = ref::pruned(g, mem, {src}, dests); + if (dstar == ref::kNone) { + EXPECT_TRUE(rproj.edges.empty()) << trial; + continue; + } + std::vector want(walks.begin(), walks.end()); + if (!mp) want = sorted(*ref::canonical(q, mem, {src}, dests)); + EXPECT_EQ(rproj.edges, want) << "trial " << trial << " priority " << static_cast(prio); + EXPECT_EQ(rproj.cost, dstar) << trial; + ++residual_views; + if (rproj.edges != proj.edges) ++view_changes; } } } @@ -775,13 +1061,18 @@ TEST(Search, InternalEntriesMatchThePublicSearch) { auto rev = run(g, dests, Direction::Reverse, std::nullopt, sel()); EXPECT_EQ(costs, (std::vector{(*rev.costs)[0], (*rev.costs)[1]})); } + EXPECT_GT(routed, 300); // not vacuous: many queries reach a destination + EXPECT_GT(projected, 1000); + EXPECT_GT(residual_views, 3000); + EXPECT_GT(view_changes, 30); // and the residual view decides some of them } TEST(Search, ReverseSupportsOrderEveryTailsEdgesAtAnyDegree) { - // Task 1d-msd: a reverse full search emits each tail's tight out-edges in ascending EdgeId, by one - // bit per out-edge id up to 64 out-edges and by sorting above: hubs with 63, 64, 65 and 129 - // out-edges, tight (cost 1, parallel copies, ties) and not (cost 2 or no capacity), against the - // reference's full DAG, with and without an Eligibility. + // A reverse full search emits each tail's tight out-edges in ascending EdgeId, by one + // bit per out-edge id up to 64 out-edges and by sorting above: hubs with 1, 63, 64, 65 and 129 + // out-edges, tight (cost 1, parallel copies, ties) and not (cost 2 or no capacity), and hubs of + // 64, 65 and 66 out-edges that are all tight, against the reference's full DAG, with and + // without an Eligibility. // Ids rank a node's costlier edges last, so the all-tight variant makes the last ids tight too. std::mt19937 rng(64); for (const auto& [degree, all_tight] : std::vector> { @@ -813,6 +1104,72 @@ TEST(Search, ReverseSupportsOrderEveryTailsEdgesAtAnyDegree) { << "degree " << degree << " all tight " << all_tight << " elig " << with_elig; if (all_tight && !with_elig) EXPECT_EQ(asc.size(), static_cast(degree + spokes)); EXPECT_TRUE(std::is_sorted(asc.begin(), asc.end())); + // The hub's own entries, whose order is the subject here: at least half its edges (none when + // the Eligibility masks the degree-1 hub's only edge). + const auto hub_entries = std::count_if(asc.begin(), asc.end(), [&](EdgeId e) { return g.edge_src()[e] == hub; }); + EXPECT_GE(hub_entries, with_elig && degree == 1 ? 0 : (degree + 1) / 2) + << "degree " << degree << " all tight " << all_tight << " elig " << with_elig; + } + } +} + +TEST(Search, StaticSupportTakesNormalisedRootsAndAllowsNone) { + // static_support and static_costs take root sets their callers normalised + // (ascending, no duplicates, in range) and filter the Eligibility themselves. On random graphs + // with masks they equal the public search on the same roots: the full support in both + // directions, the reverse costs at every node. With no allowed root the support is the empty + // DAG and every cost kUnreachable, as the public search gives (and static_costs of no + // destination at all). The public entries keep normalising: spf and a cache lookup on the + // roots unsorted and repeated give the same support. + std::mt19937 rng(813); + int masked_roots = 0; // supports with an edge although the Eligibility removes a root + for (int trial = 0; trial < 300; ++trial) { + const int n = 3 + static_cast(rng() % 9); + const auto g = random_graph(rng, n, 2 + static_cast(rng() % 30), 4); + std::vector roots; + for (NodeId v = 0; v < n; ++v) { + if (rng() % 3 == 0) roots.push_back(v); + } + if (roots.empty()) roots.push_back(static_cast(rng() % static_cast(n))); + std::vector xn; + for (NodeId v = 0; v < n; ++v) { + if (rng() % 4 == 0) xn.push_back(v); + } + if (trial % 10 == 0) xn = roots; // no root allowed + std::vector xe; + for (EdgeId e = 0; e < g.num_edges(); ++e) { + if (rng() % 6 == 0) xe.push_back(e); + } + const auto el = g.eligibility(xn, xe); + const Eligibility* elig = trial % 2 == 0 ? &el : nullptr; + const bool any_allowed = + std::any_of(roots.begin(), roots.end(), [&](NodeId r) { return elig == nullptr || elig->node_ok(r); }); + const bool masked = + elig != nullptr && std::any_of(roots.begin(), roots.end(), [&](NodeId r) { return !elig->node_ok(r); }); + std::vector all(static_cast(n)); + std::iota(all.begin(), all.end(), 0); + for (Direction dir : {Direction::Forward, Direction::Reverse}) { + const auto got = detail::static_support(g, roots, dir, elig); + const auto [want_costs, want_dag, want_cost] = run(g, roots, dir, std::nullopt, sel(), nullptr, 1, elig); + EXPECT_TRUE(got == want_dag) << "trial " << trial << " direction " << static_cast(dir); + if (!any_allowed) EXPECT_TRUE(got == detail::PredDAGBuilder::empty(g)) << trial; + if (dir == Direction::Forward && masked && !detail::PredDAGBuilder::ascending(got).empty()) ++masked_roots; } + const auto costs = detail::static_costs(g, elig, roots, all); + const auto [rev_costs, rev_dag, rev_cost] = run(g, roots, Direction::Reverse, std::nullopt, sel(), nullptr, 1, elig); + EXPECT_EQ(costs, *rev_costs) << trial; + if (!any_allowed) EXPECT_EQ(costs, std::vector(all.size(), kUnreachable)) << trial; // every tenth trial, and an even one whose exclusions remove every root + EXPECT_EQ(detail::static_costs(g, elig, std::vector {}, all), std::vector(all.size(), kUnreachable)); + // The public entries on the same roots reversed and repeated. + std::vector messy(roots.rbegin(), roots.rend()); + messy.push_back(roots.front()); + DagCache cache(g); + const auto cached = cache.lookup(g, messy, Direction::Reverse, elig); + EXPECT_TRUE(*cached == detail::static_support(g, roots, Direction::Reverse, elig)) << trial; + EXPECT_TRUE(cache.lookup(g, roots, Direction::Reverse, elig) == cached) << trial; // the same entry + EXPECT_TRUE(rev_dag == *cached) << trial; + const auto [messy_costs, messy_dag, messy_cost] = run(g, messy, Direction::Reverse, std::nullopt, sel(), nullptr, 1, elig); + EXPECT_TRUE(messy_dag == *cached) << trial; } + EXPECT_GT(masked_roots, 10); // not vacuous: the Eligibility removes some roots of real supports } diff --git a/tests/cpp/state_comparators.hpp b/tests/cpp/state_comparators.hpp new file mode 100644 index 0000000..ce98864 --- /dev/null +++ b/tests/cpp/state_comparators.hpp @@ -0,0 +1,151 @@ +// What a call leaves, as the tests compare it: the ledger (LedgerState, every record field), its +// invariant (expect_balanced), a policy's epoch state (Epoch) and a placement result; the +// comparators' negative controls intercept their failures with test_utils.hpp's failures_of. +// Shared by both test executables; the fault-injection sweeps (fault_injection.hpp) compare +// through these. +#pragma once + +#include + +#include +#include +#include +#include + +#include "netgraph/core/detail/ledger_access.hpp" +#include "netgraph/core/detail/policy_engine.hpp" +#include "netgraph/core/flow_ledger.hpp" +#include "netgraph/core/flow_policy.hpp" +#include "test_utils.hpp" + +namespace netgraph::core::test { + +// The ledger as the tests compare it: the aggregate, the residual, every record field (FlowIds +// keep their local ids: a reference sequence runs on another ledger), the next FlowId and the +// bound and orphaned owners. +struct LedgerState { + std::vector allocated; + std::vector residual; + std::vector records; + std::int64_t next_id {0}; + std::vector bound; + std::vector orphans; +}; + +// Every record's FlowId carries the ledger's uid; then the uid is cleared, so records of two +// ledgers compare by their local ids. +inline void expect_uid_then_clear(std::vector& records, std::uint64_t uid) { + for (auto& r : records) { + EXPECT_EQ(r.flow_id.first, uid); + r.flow_id.first = 0; + } +} + +inline LedgerState ledger_state(const FlowLedger& fg) { + using detail::LedgerAccess; + LedgerState s {fg.allocated(), fg.residual(), fg.records(), LedgerAccess::next_flow_id(fg), + LedgerAccess::bound_owners(fg), LedgerAccess::orphan_owners(fg)}; + expect_uid_then_clear(s.records, fg.uid()); + return s; +} + +inline bool same_record(const FlowRecord& a, const FlowRecord& b) { + return a.flow_id == b.flow_id && a.owner == b.owner && a.sources == b.sources && a.destinations == b.destinations && + a.placement == b.placement && a.admission == b.admission && a.bundle && b.bundle && *a.bundle == *b.bundle && + a.route_cost == b.route_cost && a.offered == b.offered && a.delivered == b.delivered && a.edges == b.edges && + a.drops == b.drops; +} + +inline void expect_same(const LedgerState& a, const LedgerState& b, const std::string& where) { + EXPECT_EQ(a.allocated, b.allocated) << where; + EXPECT_EQ(a.residual, b.residual) << where; + EXPECT_EQ(a.next_id, b.next_id) << where; + EXPECT_EQ(a.bound, b.bound) << where; + EXPECT_EQ(a.orphans, b.orphans) << where; + ASSERT_EQ(a.records.size(), b.records.size()) << where; + for (std::size_t i = 0; i < a.records.size(); ++i) { + EXPECT_TRUE(same_record(a.records[i], b.records[i])) << where << " record " << i; + } +} + +// The ledger invariant: the aggregate is the sum of the records, within [0, baseline] on every +// edge. +inline void expect_balanced(const FlowLedger& fg, const std::string& where) { + const std::vector allocated = fg.allocated(); + const auto baseline = detail::LedgerAccess::baseline(fg); + std::vector sum(allocated.size(), 0); + for (const auto& r : fg.records()) { + for (const auto& [e, x] : r.edges) sum[static_cast(e)] += x; + } + EXPECT_EQ(sum, allocated) << where; + ASSERT_EQ(baseline.size(), allocated.size()) << where; + for (std::size_t e = 0; e < allocated.size(); ++e) { + EXPECT_GE(allocated[e], 0) << where << " edge " << e; + EXPECT_LE(allocated[e], baseline[e]) << where << " edge " << e; + } +} + +// Every field of a placement result. +inline void expect_same(const PlacementResult& a, const PlacementResult& b, const std::string& where) { + EXPECT_EQ(a.placed, b.placed) << where; + EXPECT_EQ(a.remaining, b.remaining) << where; + EXPECT_EQ(a.termination, b.termination) << where; + EXPECT_EQ(a.local_outcomes, b.local_outcomes) << where; + EXPECT_EQ(a.routes_changed, b.routes_changed) << where; + EXPECT_EQ(a.weights_changed, b.weights_changed) << where; + EXPECT_EQ(a.drops, b.drops) << where; + EXPECT_EQ(a.cost_distribution, b.cost_distribution) << where; + EXPECT_EQ(a.edge_flows, b.edge_flows) << where; + EXPECT_EQ(a.residual, b.residual) << where; + EXPECT_EQ(a.bottleneck, b.bottleneck) << where; + EXPECT_EQ(a.min_cut, b.min_cut) << where; +} + +// One live flow as the tests compare it: its local id, its route cost and its plan's route, +// members and Weighted weights (a Global flow has no plan: its bundle's edges as route and +// members). +struct FlowSnapshot { + std::int64_t id {0}; + Cost cost {0}; + std::vector route; + std::vector members; + std::vector weights; + bool operator==(const FlowSnapshot&) const = default; +}; + +// A policy's epoch state: the call state (requested, +inf, the placed demand), Global's +// cumulative curve and per roster source its flows. +struct Epoch { + Counter128 requested; + bool infinite {false}; + Amount placed {0}; + std::vector> curve; + std::vector> cohorts; +}; + +inline Epoch epoch(const FlowPolicy& p) { + const auto& pe = detail::PolicyAccess::engine(p); + Epoch e {pe.requested, pe.infinite, p.placed_demand(), pe.curve, {}}; + for (const auto& c : pe.cohorts) { + auto& out = e.cohorts.emplace_back(); + for (const auto& f : c) { + if (f.plan) { + out.push_back({f.id, f.cost, f.plan->route, f.plan->members, f.plan->weights}); + } else { + const auto ids = ascending_edges(*f.bundle); + out.push_back({f.id, f.cost, ids, ids, {}}); + } + } + } + return e; +} + +inline void expect_same(const Epoch& a, const Epoch& b, const std::string& where) { + EXPECT_EQ(a.requested, b.requested) << where; + EXPECT_EQ(a.infinite, b.infinite) << where; + EXPECT_EQ(a.placed, b.placed) << where; + EXPECT_EQ(a.curve, b.curve) << where; + EXPECT_TRUE(a.cohorts == b.cohorts) << where; +} + +} // namespace netgraph::core::test diff --git a/tests/cpp/test_int128.hpp b/tests/cpp/test_int128.hpp new file mode 100644 index 0000000..ea46bc1 --- /dev/null +++ b/tests/cpp/test_int128.hpp @@ -0,0 +1,183 @@ +// Exact 128-bit integers for the test oracles: Int128 (signed) and UInt128 (unsigned). The +// portable classes wrap modulo 2^128; the built-in signed type must not overflow (that is +// undefined), so a test that wants a wrapped signed result forms it in UInt128 and converts back. +// Compilers with a built-in 128-bit integer (GCC, Clang) use it; others (MSVC) use the two small +// classes below, written for the tests alone and independent of the library's detail/int128.hpp, +// so an arithmetic error there cannot hide in an expected value. The CI job "C++ tests (windows, +// MSVC)" runs every test on the classes, and PortableInt128.PortableClassesMatchTheBuiltInType +// compares them with the built-in type wherever both exist. Defining +// NETGRAPH_CORE_TEST_PORTABLE_INT128 selects the classes on any compiler; no make target or CI job +// sets it. To run every test on them locally, from the repository root (a fresh build directory: +// CMake reads CXXFLAGS only when it first configures one): +// CXXFLAGS=-DNETGRAPH_CORE_TEST_PORTABLE_INT128 cmake -S . -B build/cpp-tests-portable -DNETGRAPH_CORE_BUILD_TESTS=ON -DNETGRAPH_CORE_PRIVATE_HOOKS=ON +// cmake --build build/cpp-tests-portable --parallel && ctest --test-dir build/cpp-tests-portable --no-tests=error +#pragma once + +#include +#include +#include +#include +#include + +namespace netgraph::core::test { + +// Two 64-bit words. Every operation is modulo 2^128; division by zero aborts. +class PortableUInt128 { + public: + using U = PortableUInt128; + + constexpr PortableUInt128() noexcept = default; + // Implicit, like a built-in integral conversion: a negative value wraps modulo 2^128. + template + constexpr PortableUInt128(T v) noexcept : lo_(static_cast(v)) { + if constexpr (std::is_signed_v) hi_ = v < 0 ? ~std::uint64_t {0} : 0; + } + static constexpr U of_words(std::uint64_t hi, std::uint64_t lo) noexcept { + U r; + r.hi_ = hi; + r.lo_ = lo; + return r; + } + [[nodiscard]] constexpr std::uint64_t high() const noexcept { return hi_; } + [[nodiscard]] constexpr std::uint64_t low() const noexcept { return lo_; } + // The low bits, like a built-in narrowing conversion. + template + constexpr explicit operator T() const noexcept { + return static_cast(lo_); + } + + friend constexpr bool operator==(const U&, const U&) noexcept = default; + friend constexpr std::strong_ordering operator<=>(const U& a, const U& b) noexcept { + if (a.hi_ != b.hi_) return a.hi_ <=> b.hi_; + return a.lo_ <=> b.lo_; + } + + friend constexpr U operator+(U a, U b) noexcept { + const std::uint64_t lo = a.lo_ + b.lo_; + return of_words(a.hi_ + b.hi_ + (lo < a.lo_ ? 1 : 0), lo); + } + friend constexpr U operator-(U a, U b) noexcept { + return of_words(a.hi_ - b.hi_ - (a.lo_ < b.lo_ ? 1 : 0), a.lo_ - b.lo_); + } + friend constexpr U operator*(U a, U b) noexcept { + // The full product of the low words from 32-bit halves; the products with a high word only + // reach the high word (modulo 2^128). + const std::uint64_t mask = 0xffffffffU; + const std::uint64_t a0 = a.lo_ & mask, a1 = a.lo_ >> 32; + const std::uint64_t b0 = b.lo_ & mask, b1 = b.lo_ >> 32; + const std::uint64_t p00 = a0 * b0, p01 = a0 * b1, p10 = a1 * b0, p11 = a1 * b1; + const std::uint64_t middle = (p00 >> 32) + (p01 & mask) + (p10 & mask); + const std::uint64_t lo = (middle << 32) | (p00 & mask); + const std::uint64_t hi = p11 + (p01 >> 32) + (p10 >> 32) + (middle >> 32) + a.hi_ * b.lo_ + a.lo_ * b.hi_; + return of_words(hi, lo); + } + // Long division, one quotient bit per step: n = q * d + r with r < d. + static constexpr void divide(U n, U d, U& q, U& r) noexcept { + if (d == U {}) std::abort(); + q = U {}; + r = U {}; + for (int i = 127; i >= 0; --i) { + r = (r << 1) | ((n >> i) & U {1}); + if (r >= d) { + r = r - d; + q = q | (U {1} << i); + } + } + } + friend constexpr U operator/(U a, U b) noexcept { + U q, r; + divide(a, b, q, r); + return q; + } + friend constexpr U operator%(U a, U b) noexcept { + U q, r; + divide(a, b, q, r); + return r; + } + // Shifts by 0 to 127 bits. + friend constexpr U operator<<(U a, int s) noexcept { + if (s == 0) return a; + if (s >= 64) return of_words(a.lo_ << (s - 64), 0); + return of_words((a.hi_ << s) | (a.lo_ >> (64 - s)), a.lo_ << s); + } + friend constexpr U operator>>(U a, int s) noexcept { + if (s == 0) return a; + if (s >= 64) return of_words(0, a.hi_ >> (s - 64)); + return of_words(a.hi_ >> s, (a.lo_ >> s) | (a.hi_ << (64 - s))); + } + friend constexpr U operator|(U a, U b) noexcept { return of_words(a.hi_ | b.hi_, a.lo_ | b.lo_); } + friend constexpr U operator&(U a, U b) noexcept { return of_words(a.hi_ & b.hi_, a.lo_ & b.lo_); } + constexpr U& operator+=(U b) noexcept { return *this = *this + b; } + constexpr U& operator-=(U b) noexcept { return *this = *this - b; } + constexpr U& operator*=(U b) noexcept { return *this = *this * b; } + constexpr U& operator/=(U b) noexcept { return *this = *this / b; } + + private: + std::uint64_t hi_ {0}; + std::uint64_t lo_ {0}; +}; + +// The two's-complement reading of a PortableUInt128 bit pattern: signed comparison and division +// (truncating toward zero, like the built-in type); the other operations are those of the bits. +class PortableInt128 { + public: + using I = PortableInt128; + using U = PortableUInt128; + + constexpr PortableInt128() noexcept = default; + // Implicit, like a built-in integral conversion: the value is kept. + template + constexpr PortableInt128(T v) noexcept : bits_(v) {} + constexpr explicit PortableInt128(U bits) noexcept : bits_(bits) {} + constexpr explicit operator U() const noexcept { return bits_; } + template + constexpr explicit operator T() const noexcept { + return static_cast(bits_); + } + + friend constexpr bool operator==(const I&, const I&) noexcept = default; + friend constexpr std::strong_ordering operator<=>(const I& a, const I& b) noexcept { + const auto ah = static_cast(a.bits_.high()); + const auto bh = static_cast(b.bits_.high()); + if (ah != bh) return ah <=> bh; + return a.bits_.low() <=> b.bits_.low(); + } + + friend constexpr I operator+(I a, I b) noexcept { return I(a.bits_ + b.bits_); } + friend constexpr I operator-(I a, I b) noexcept { return I(a.bits_ - b.bits_); } + friend constexpr I operator-(I a) noexcept { return I(U {} - a.bits_); } + friend constexpr I operator*(I a, I b) noexcept { return I(a.bits_ * b.bits_); } + friend constexpr I operator/(I a, I b) noexcept { + const I q(magnitude(a) / magnitude(b)); + return (a < 0) != (b < 0) ? -q : q; + } + friend constexpr I operator%(I a, I b) noexcept { + const I r(magnitude(a) % magnitude(b)); + return a < 0 ? -r : r; + } + constexpr I& operator+=(I b) noexcept { return *this = *this + b; } + constexpr I& operator-=(I b) noexcept { return *this = *this - b; } + constexpr I& operator*=(I b) noexcept { return *this = *this * b; } + + private: + static constexpr U magnitude(I x) noexcept { return x < 0 ? (-x).bits_ : x.bits_; } + U bits_ {}; +}; + +#if defined(__SIZEOF_INT128__) && !defined(NETGRAPH_CORE_TEST_PORTABLE_INT128) +using Int128 = __int128; +using UInt128 = unsigned __int128; +#else +using Int128 = PortableInt128; +using UInt128 = PortableUInt128; +#endif + +// hi * 2^64 + lo. +constexpr Int128 int128_of(std::int64_t hi, std::uint64_t lo) noexcept { + return static_cast((static_cast(static_cast(hi)) << 64) | UInt128 {lo}); +} + +// 2^127 - 1. +constexpr Int128 int128_max() noexcept { return static_cast((UInt128 {1} << 127) - UInt128 {1}); } + +} // namespace netgraph::core::test diff --git a/tests/cpp/test_utils.hpp b/tests/cpp/test_utils.hpp index 393c1b4..7c9ff51 100644 --- a/tests/cpp/test_utils.hpp +++ b/tests/cpp/test_utils.hpp @@ -1,19 +1,36 @@ #pragma once +#include #include #include #include +#include +#include #include #include +#include #include +#include #include #include +#include #include +#include +#include +#include #include +#include "netgraph/core/dag_cache.hpp" #include "netgraph/core/detail/flow_core.hpp" +#include "netgraph/core/detail/kernels.hpp" +#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/flow_ledger.hpp" +#include "netgraph/core/flow_policy.hpp" +#include "netgraph/core/flow_record.hpp" #include "netgraph/core/graph.hpp" +#include "netgraph/core/pred_dag.hpp" +#include "test_int128.hpp" namespace netgraph::core::test { @@ -30,6 +47,31 @@ struct InEdge { Cost cost; }; +// 2^62: the bound of capacities and of the capacity and cost sums, in units. +inline constexpr Amount kL62 = Amount {1} << 62; + +// The two policy configurations most tests use, both Lossless with deterministic ties and the +// capacity priority: the exact maximum flow (Global routing, MaxFlow) and CostOnly EqualBalanced. +inline FlowPolicyConfig global_config() { + return FlowPolicyConfig {Global {}, FlowPlacement::MaxFlow, Admission::Lossless, + PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)}; +} +inline FlowPolicyConfig cost_only_config() { + return FlowPolicyConfig {CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, + PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)}; +} + +// The five statistics of a DagCache, comparable as one value. +inline std::tuple stats_of( + const DagCache::Stats& s) { + return {s.hits, s.misses, s.entries, s.bytes, s.live_values}; +} + +// The kernel-combination errors of the configuration check. +inline const std::string kLossyKernelError = + "Lossy admission is rejected with the MaxFlow kernel: a controller never drops (EqualBalanced or Weighted only)"; +inline const std::string kHeadroomKernelError = "the Weighted kernel is rejected with priority Headroom (weights are units)"; + inline Graph make_graph(std::int32_t n, const std::vector& edges, double q = 1.0) { std::vector src, dst; std::vector cap; @@ -43,6 +85,136 @@ inline Graph make_graph(std::int32_t n, const std::vector& edges, double return Graph(n, src, dst, cap, cost, q); } +// m random edges on n nodes (self-loops and parallel edges allowed): capacities min_capacity to 4 +// units, costs 1 to max_cost times scale. The draws are in a braced list, so their order is fixed. +inline Graph random_graph(std::mt19937& rng, int n, int m, Cost max_cost, Cost scale = 1, Amount min_capacity = 0) { + std::vector edges; + for (int i = 0; i < m; ++i) { + edges.push_back({static_cast(rng() % static_cast(n)), static_cast(rng() % static_cast(n)), + min_capacity + static_cast(rng() % static_cast(5 - min_capacity)), + scale * static_cast(1 + rng() % static_cast(max_cost))}); + } + return make_graph(n, edges); +} + +// The message of the std::invalid_argument fn throws; "" when it throws none. +inline std::string error_of(const std::function& fn) { + try { + fn(); + } catch (const std::invalid_argument& e) { + return e.what(); + } + return ""; +} + +// The failures fn records, intercepted (they do not fail the calling test): the negative +// controls of the tests' own checks and comparators. +inline int failures_of(const std::function& fn) { + ::testing::TestPartResultArray results; + { + const ::testing::ScopedFakeTestPartResultReporter reporter( + ::testing::ScopedFakeTestPartResultReporter::INTERCEPT_ONLY_CURRENT_THREAD, &results); + fn(); + } + return results.size(); +} + +inline bool contains(const std::string& s, const std::string& part) { return s.find(part) != std::string::npos; } + +// Whether a checker's failed clauses (a list of messages) include one that starts with `clause`. +inline bool has_failure(const std::vector& fails, const std::string& clause) { + return std::any_of(fails.begin(), fails.end(), [&](const std::string& f) { return f.rfind(clause, 0) == 0; }); +} + +inline std::shared_ptr shared(Graph g) { return std::make_shared(std::move(g)); } + +// A node list written inline: v({0, 1}). +inline std::vector v(std::initializer_list x) { return x; } + +// Per-edge amount arrays with one or several defects (one error; detail::check_edge_amounts) for +// edge_amount_graph(), three edges of capacity 2, so the texts hold whatever the EdgeId order: +// the length is reported before any entry, then the first entry outside [0, 2] in EdgeId order. +// `error` follows the caller's label ("residual", "view"). +struct EdgeAmountDefect { + std::vector amounts; + std::string error; +}; + +inline Graph edge_amount_graph() { return make_graph(4, {{0, 1, 2, 1}, {1, 2, 2, 1}, {2, 3, 2, 1}}); } + +inline std::vector edge_amount_defects() { + return { + {{9, -1, 0, 0}, " has length 4, expected 3 (one entry per edge)"}, + {{-5, 9}, " has length 2, expected 3 (one entry per edge)"}, + {{}, " has length 0, expected 3 (one entry per edge)"}, + {{0, -1, 3}, "[1] = -1 is outside [0, capacity_units[1] = 2]"}, + {{0, 3, -1}, "[1] = 3 is outside [0, capacity_units[1] = 2]"}, + {{2, 0, 3}, "[2] = 3 is outside [0, capacity_units[2] = 2]"}, + {{-1, -1, -1}, "[0] = -1 is outside [0, capacity_units[0] = 2]"}, + }; +} + +// Both bounds of [0, capacity] are inside. +inline std::vector edge_amounts_at_the_bounds() { return {0, 2, 1}; } + +// A span (a public array, a plan's structure field) as a vector. +template +std::vector> vec(std::span s) { + return std::vector>(s.begin(), s.end()); +} + +// Every EdgeId of g, ascending. +inline std::vector all_ids(const Graph& g) { + std::vector out(static_cast(g.num_edges())); + for (std::size_t i = 0; i < out.size(); ++i) out[i] = static_cast(i); + return out; +} + +// The PredDAG of a set of EdgeIds (the builder's of_edges). +inline std::shared_ptr dag_of(const Graph& g, std::vector edges) { + return std::make_shared(detail::PredDAGBuilder::of_edges(g, edges)); +} + +// A DAG's edges in ascending EdgeId (the builder's view of the storage). +inline std::vector ascending_edges(const PredDAG& dag) { + const auto e = detail::PredDAGBuilder::ascending(dag); + return {e.begin(), e.end()}; +} + +// The sorted, distinct nodes of `set` that `elig` allows (all of them without an Eligibility). +inline std::vector allowed_nodes(std::vector set, const Eligibility* elig) { + std::sort(set.begin(), set.end()); + set.erase(std::unique(set.begin(), set.end()), set.end()); + std::vector out; + for (NodeId v : set) { + if (elig == nullptr || elig->node_ok(v)) out.push_back(v); + } + return out; +} + +// The bundle of every edge of g. +inline std::shared_ptr all_edges(const Graph& g) { return dag_of(g, all_ids(g)); } + +// Every operation counter of two solves (the counter struct has no ==). +inline bool same_counters(const detail::FlowCoreCounters& x, const detail::FlowCoreCounters& y) { + return x.dijkstra_runs == y.dijkstra_runs && x.dijkstra_pops == y.dijkstra_pops && x.settled == y.settled && + x.arc_scans == y.arc_scans && x.dinic_phases == y.dinic_phases && x.augmentations == y.augmentations; +} + +// Every field of a network against its copy `in`. +inline bool same_network(const detail::Network& net, const detail::Network& in) { + return net.num_nodes == in.num_nodes && net.edges == in.edges && net.tail == in.tail && net.head == in.head && + net.cost == in.cost && net.cap == in.cap && net.sources == in.sources && net.destinations == in.destinations && + net.off == in.off && net.arc_head == in.arc_head && net.rev == in.rev && net.arc_cost == in.arc_cost && + net.edge_slot == in.edge_slot && net.src_rev == in.src_rev && net.dst_fwd == in.dst_fwd; +} + +// Every field of a deletion re-solve's result, its operation counters included. +inline bool same_result(const detail::DeletionResult& a, const detail::DeletionResult& b) { + return a.value == b.value && a.potentials == b.potentials && a.cut == b.cut && a.edge_flows == b.edge_flows && + same_counters(a.counters, b.counters); +} + // The caller's inverse of input_index(): input position -> EdgeId. inline std::vector id_of_input(const Graph& g) { auto ii = g.input_index(); @@ -51,6 +223,13 @@ inline std::vector id_of_input(const Graph& g) { return inv; } +// The path 0 -> 1 -> ... -> n - 1 (cost 1 per edge) at capacity `cap`. +inline std::shared_ptr chain_graph(std::int32_t n, Amount cap) { + std::vector edges; + for (NodeId v = 0; v + 1 < n; ++v) edges.push_back({v, v + 1, cap, 1}); + return std::make_shared(make_graph(n, edges)); +} + // A per-edge array in input order, permuted to id order. template std::vector to_ids(const Graph& g, const std::vector& by_input) { @@ -92,17 +271,13 @@ inline FlowCoreResult solve(const Graph& g, std::vector s, std::vector minimum cost of every integer flow value, by enumerating every integer flow on the // eligible edges (small graphs only). Independent of the solver. -inline std::map exhaustive_costs(const Graph& g, std::span view, +inline std::map exhaustive_costs(const Graph& g, std::span view, const std::vector& srcs, const std::vector& dsts, const Eligibility* elig) { const auto m = static_cast(g.num_edges()); @@ -114,16 +289,16 @@ inline std::map exhaustive_costs(const Graph& g, std::span S, D; for (NodeId s : srcs) if (elig == nullptr || elig->node_ok(s)) S.insert(s); for (NodeId d : dsts) if (elig == nullptr || elig->node_ok(d)) D.insert(d); - std::map best; + std::map best; std::vector f(free.size(), 0); while (true) { std::vector bal(n, 0); - __int128 cost = 0; + Int128 cost = 0; for (std::size_t k = 0; k < free.size(); ++k) { const auto e = free[k]; bal[static_cast(g.edge_src()[e])] -= f[k]; bal[static_cast(g.edge_dst()[e])] += f[k]; - cost += static_cast<__int128>(g.cost()[e]) * f[k]; + cost += static_cast(g.cost()[e]) * f[k]; } bool ok = true; Amount value = 0; @@ -148,7 +323,7 @@ inline std::map exhaustive_costs(const Graph& g, std::span> independent_curve(const Graph& g, +inline std::vector> independent_curve(const Graph& g, std::span view, const std::vector& srcs, const std::vector& dsts, @@ -163,10 +338,10 @@ inline std::vector> independent_curve(const Graph& g } for (NodeId s : srcs) if (elig == nullptr || elig->node_ok(s)) arcs.push_back({S, s, kMaxFlowCap, 0, 0}); for (NodeId d : dsts) if (elig == nullptr || elig->node_ok(d)) arcs.push_back({d, T, kMaxFlowCap, 0, 0}); - std::vector> pts{{0, 0}}; + std::vector> pts{{0, 0}}; while (true) { - const __int128 inf = std::numeric_limits<__int128>::max(); - std::vector<__int128> dist(static_cast(n + 2), inf); + const Int128 inf = int128_max(); + std::vector dist(static_cast(n + 2), inf); std::vector> parent(static_cast(n + 2), {-1, 0}); dist[static_cast(S)] = 0; for (int it = 0; it < n + 2; ++it) { @@ -209,155 +384,268 @@ inline std::vector> independent_curve(const Graph& g // Cost of a piecewise-linear curve at an integer value inside its domain. Every segment of both // curves has an integer slope (the cost per unit of one tier or one augmenting path), so the -// value is exact in 128 bits: costs stay below 2^62 per unit and amounts below 2^62. -inline __int128 curve_at(const std::vector>& pts, Amount x) { +// value is exact in 128 bits: costs stay below 2^62 per unit and amounts below 2^62. An empty or +// backward segment (a payload entry of volume 0 or less, which the curve-shape clause rejects) is +// skipped rather than divided by its length. +inline Int128 curve_at(const std::vector>& pts, Amount x) { for (std::size_t i = 1; i < pts.size(); ++i) { const auto [a, ca] = pts[i - 1]; const auto [b, cb] = pts[i]; - if (a <= x && x <= b) { - const __int128 slope = (cb - ca) / (b - a); + if (a < b && a <= x && x <= b) { + const Int128 slope = (cb - ca) / (b - a); return ca + slope * (x - a); } } return pts.back().second; } -inline std::vector> payload_points(const FlowCoreResult& r) { - std::vector> pts{{0, 0}}; - for (const auto& [c, u] : r.cost_distribution) { - pts.emplace_back(pts.back().first + u, pts.back().second + static_cast<__int128>(c) * u); +// The curve clauses shared by the flow certificates (certify below, the MaxFlow kernel step's in +// kernels_tests.cpp and the Global policy's cumulative curve in flow_policy_tests.cpp). The shape: every volume positive and the costs strictly increasing; the +// curve's total equals the delivered value and its moment (the sum of cost x volume) the flow's +// cost. Returns the curve's breakpoints [(value, cost)] from (0, 0). +inline std::vector> curve_shape_clauses(const std::vector>& curve, + Amount placed, Int128 moment, + std::vector& fails) { + std::vector> pts {{0, 0}}; + for (std::size_t i = 0; i < curve.size(); ++i) { + const auto [c, u] = curve[i]; + if (u <= 0) fails.push_back("curve volume not positive"); + if (i > 0 && c <= curve[i - 1].first) fails.push_back("curve costs not strictly increasing"); + pts.emplace_back(pts.back().first + u, pts.back().second + static_cast(c) * u); } + if (pts.back().first != placed) fails.push_back("curve total differs from placed"); + if (pts.back().second != moment) fails.push_back("curve moment differs from the flow cost"); return pts; } -// The certificate of APPROACH 2.2 in two ordered branches. Returns the failed clauses. With -// `tier_a`, the complete curve is compared with the exhaustive optimum of every value; else with -// the independent Bellman-Ford curve at the union of both breakpoint sets. -inline std::vector certify(const Graph& g, std::span view, - std::vector srcs, std::vector dsts, - std::optional cap, const Eligibility* elig, - const FlowCoreResult& r, bool tier_a) { - std::vector fails; +// The curve against an optimum's breakpoints: equal at every breakpoint of either up to `upto` +// (both are piecewise linear, so equal everywhere there); the first value that differs is +// reported, naming the optimum. +inline void curve_optimum_clause(const std::vector>& pts, + const std::vector>& optimum, Amount upto, + const std::string& name, std::vector& fails) { + std::set xs; + for (const auto& [x, c] : pts) xs.insert(x); + for (const auto& [x, c] : optimum) xs.insert(x); + for (Amount x : xs) { + if (x > upto) continue; + if (curve_at(pts, x) != curve_at(optimum, x)) { + fails.push_back("curve differs from " + name + " at " + std::to_string(x)); + return; + } + } +} + +// The cost of a flow given per EdgeId: the sum of cost x flow, exact in 128 bits. +inline Int128 flow_cost(const Graph& g, std::span flows) { + Int128 total = 0; + for (std::size_t e = 0; e < flows.size(); ++e) total += static_cast(g.cost()[e]) * flows[e]; + return total; +} + +// Per node, what a flow's sources send out and what its destinations receive (net amounts; 0 at +// every other node). +struct FlowBalance { + std::vector supply; + std::vector inflow; +}; + +// The flow clauses of the flow certificates (certify below, the deletion re-solve's in +// flow_core_deletion_tests.cpp and the Global policy's in flow_policy_tests.cpp), on a flow given +// per EdgeId: every edge flow within [0, view] and zero on an edge the Eligibility excludes; a +// source absorbs nothing and a destination emits nothing (a node in both sets counts as a +// source), an excluded one carries nothing, and every other node passes on what it receives; +// what the sources send out and what the destinations receive both equal `placed`. Appends the +// failed clauses to `fails`. +inline FlowBalance flow_clauses(const Graph& g, std::span view, std::span flows, + const std::vector& srcs, const std::vector& dsts, + const Eligibility* elig, Amount placed, std::vector& fails) { const auto m = static_cast(g.num_edges()); const auto n = static_cast(g.num_nodes()); - std::sort(srcs.begin(), srcs.end()); - srcs.erase(std::unique(srcs.begin(), srcs.end()), srcs.end()); - std::sort(dsts.begin(), dsts.end()); - dsts.erase(std::unique(dsts.begin(), dsts.end()), dsts.end()); auto edge_ok = [&](std::size_t e) { return elig == nullptr || elig->edge_ok(static_cast(e)); }; auto node_ok = [&](NodeId v) { return elig == nullptr || elig->node_ok(v); }; - if (r.edge_flows.size() != m || r.potentials.size() != n) { - fails.push_back("shape"); - return fails; - } - if (cap.has_value() && *cap == 0) { - const auto& c = r.counters; - if (r.placed != 0 || !r.cost_distribution.empty() || r.min_cut.has_value() || - std::any_of(r.edge_flows.begin(), r.edge_flows.end(), [](Amount x) { return x != 0; }) || - std::any_of(r.potentials.begin(), r.potentials.end(), [](Cost p) { return p != kNeverReached; }) || - c.dijkstra_runs || c.dijkstra_pops || c.settled || c.arc_scans || c.dinic_phases || c.augmentations) { - fails.push_back("zero cap: the prescribed zero payload"); - } - return fails; - } - std::vector<__int128> bal(n, 0); - __int128 moment = 0; + std::vector bal(n, 0); // inflow minus outflow for (std::size_t e = 0; e < m; ++e) { - const Amount f = r.edge_flows[e]; + const Amount f = flows[e]; if (f < 0 || f > view[e]) fails.push_back("feasibility at edge " + std::to_string(e)); if (!edge_ok(e) && f != 0) fails.push_back("flow on an ineligible edge " + std::to_string(e)); bal[static_cast(g.edge_src()[e])] -= f; bal[static_cast(g.edge_dst()[e])] += f; - moment += static_cast<__int128>(g.cost()[e]) * f; } - std::set S(srcs.begin(), srcs.end()), D(dsts.begin(), dsts.end()); - __int128 supply = 0, inflow = 0; - std::vector<__int128> sup(n, 0), inf_d(n, 0); + const std::set S(srcs.begin(), srcs.end()), D(dsts.begin(), dsts.end()); + FlowBalance out {std::vector(n, 0), std::vector(n, 0)}; + Int128 supply = 0, inflow = 0; for (std::size_t v = 0; v < n; ++v) { const auto node = static_cast(v); if (S.count(node)) { if (bal[v] > 0) fails.push_back("source absorbs flow"); if (!node_ok(node) && bal[v] != 0) fails.push_back("excluded source supplies"); - sup[v] = -bal[v]; + out.supply[v] = -bal[v]; supply += -bal[v]; } else if (D.count(node)) { if (bal[v] < 0) fails.push_back("destination emits flow"); if (!node_ok(node) && bal[v] != 0) fails.push_back("excluded destination receives"); - inf_d[v] = bal[v]; + out.inflow[v] = bal[v]; inflow += bal[v]; } else if (bal[v] != 0) { fails.push_back("conservation at node " + std::to_string(v)); } } - if (supply != r.placed || inflow != r.placed) fails.push_back("value differs from supply or inflow"); - if (r.placed < 0 || (cap.has_value() && r.placed > *cap)) fails.push_back("placed outside [0, cap]"); - // Full residual closure seeded at the allowed real sources. - const std::size_t s_star = n, t_star = n + 1; - std::vector>> out(n + 2); + if (supply != placed || inflow != placed) fails.push_back("value differs from supply or inflow"); + return out; +} + +// The residual closure of a flow given per EdgeId: the nodes that the allowed nodes of `seeds` +// reach over allowed edges, forward along an edge whose flow leaves room in the view and backward +// along an edge that carries flow (a unit there can be undone). Marks them with 1. +inline std::vector residual_closure(const Graph& g, std::span view, + std::span flows, const std::vector& seeds, + const Eligibility* elig) { + const auto m = static_cast(g.num_edges()); + const auto n = static_cast(g.num_nodes()); + std::vector> next(n); for (std::size_t e = 0; e < m; ++e) { - if (!edge_ok(e)) continue; + if (elig != nullptr && !elig->edge_ok(static_cast(e))) continue; const auto u = static_cast(g.edge_src()[e]); const auto v = static_cast(g.edge_dst()[e]); - if (r.edge_flows[e] < view[e]) out[u].emplace_back(v, g.cost()[e]); - if (r.edge_flows[e] > 0) out[v].emplace_back(u, -g.cost()[e]); + if (flows[e] < view[e]) next[u].push_back(v); + if (flows[e] > 0) next[v].push_back(u); } - for (NodeId s : srcs) { - if (!node_ok(s)) continue; - out[s_star].emplace_back(static_cast(s), 0); - if (sup[static_cast(s)] > 0) out[static_cast(s)].emplace_back(s_star, 0); - } - for (NodeId d : dsts) { - if (!node_ok(d)) continue; - out[static_cast(d)].emplace_back(t_star, 0); - if (inf_d[static_cast(d)] > 0) out[t_star].emplace_back(static_cast(d), 0); - } - std::vector seen(n + 2, 0); + std::vector seen(n, 0); std::vector queue; - for (NodeId s : srcs) { - if (node_ok(s)) { seen[static_cast(s)] = 1; queue.push_back(static_cast(s)); } + for (NodeId s : seeds) { + const auto x = static_cast(s); + if ((elig == nullptr || elig->node_ok(s)) && seen[x] == 0) { + seen[x] = 1; + queue.push_back(x); + } } for (std::size_t qi = 0; qi < queue.size(); ++qi) { - for (auto [v, w] : out[queue[qi]]) { - (void)w; - if (!seen[v]) { seen[v] = 1; queue.push_back(v); } + for (const std::size_t v : next[queue[qi]]) { + if (seen[v] == 0) { + seen[v] = 1; + queue.push_back(v); + } + } + } + return seen; +} + +// The cut of a closure: every allowed edge of positive view from a node of the closure to a node +// outside it, ascending EdgeId. On a maximal flow, the closure of the sources holds no +// destination and this is the minimum cut the flow certifies. +inline std::vector closure_cut(const Graph& g, std::span view, const std::vector& closure, + const Eligibility* elig) { + std::vector cut; + for (std::size_t e = 0; e < static_cast(g.num_edges()); ++e) { + if (elig != nullptr && !elig->edge_ok(static_cast(e))) continue; + if (view[e] > 0 && closure[static_cast(g.edge_src()[e])] != 0 && + closure[static_cast(g.edge_dst()[e])] == 0) { + cut.push_back(static_cast(e)); + } + } + return cut; +} + +// The flow core's optimality certificate in two ordered branches. Returns the failed clauses. With +// `tier_a`, the complete curve is compared with the exhaustive optimum of every value; else with +// the independent Bellman-Ford curve at the union of both breakpoint sets. +inline std::vector certify(const Graph& g, std::span view, + std::vector srcs, std::vector dsts, + std::optional cap, const Eligibility* elig, + const FlowCoreResult& r, bool tier_a) { + std::vector fails; + const auto m = static_cast(g.num_edges()); + const auto n = static_cast(g.num_nodes()); + std::sort(srcs.begin(), srcs.end()); + srcs.erase(std::unique(srcs.begin(), srcs.end()), srcs.end()); + std::sort(dsts.begin(), dsts.end()); + dsts.erase(std::unique(dsts.begin(), dsts.end()), dsts.end()); + auto edge_ok = [&](std::size_t e) { return elig == nullptr || elig->edge_ok(static_cast(e)); }; + auto node_ok = [&](NodeId v) { return elig == nullptr || elig->node_ok(v); }; + if (r.edge_flows.size() != m || r.potentials.size() != n) { + fails.push_back("shape"); + return fails; + } + if (cap.has_value() && *cap == 0) { + if (r.placed != 0 || !r.cost_distribution.empty() || r.min_cut.has_value() || + std::any_of(r.edge_flows.begin(), r.edge_flows.end(), [](Amount x) { return x != 0; }) || + std::any_of(r.potentials.begin(), r.potentials.end(), [](Cost p) { return p != kNeverReached; }) || + !same_counters(r.counters, detail::FlowCoreCounters {})) { + fails.push_back("zero cap: the prescribed zero payload"); } + return fails; + } + const FlowBalance balance = flow_clauses(g, view, r.edge_flows, srcs, dsts, elig, r.placed, fails); + const Int128 moment = flow_cost(g, r.edge_flows); + if (r.placed < 0 || (cap.has_value() && r.placed > *cap)) fails.push_back("placed outside [0, cap]"); + // The full residual closure, with a virtual source s* (an arc to every allowed source, and one + // back from a source that sends) and a virtual sink t* (an arc from every allowed destination, + // and one back to a destination that receives): t* is in it when an allowed destination is + // (the destinations are still connected to the sources), and then so is everything a receiving + // destination reaches; s* adds no node, every allowed source being a seed. + std::vector seen = residual_closure(g, view, r.edge_flows, srcs, elig); + const bool connected = std::any_of(dsts.begin(), dsts.end(), [&](NodeId d) { + return node_ok(d) && seen[static_cast(d)] != 0; + }); + if (connected) { + std::vector seeds = srcs; + for (NodeId d : dsts) { + if (balance.inflow[static_cast(d)] > 0) seeds.push_back(d); + } + seen = residual_closure(g, view, r.edge_flows, seeds, elig); } - const bool connected = seen[t_star] != 0; if (!cap.has_value() && connected) fails.push_back("uncapped solve left the destinations connected"); if (cap.has_value() && r.placed != *cap && connected) fails.push_back("attained value: early stop"); if (connected) { if (r.min_cut.has_value()) fails.push_back("min_cut present on a connected solve"); } else { - std::vector expect; - __int128 cut_value = 0; - for (std::size_t e = 0; e < m; ++e) { - if (!edge_ok(e)) continue; - if (seen[static_cast(g.edge_src()[e])] && !seen[static_cast(g.edge_dst()[e])] && - view[e] > 0) { - expect.push_back(static_cast(e)); - cut_value += view[e]; - } - } + const std::vector expect = closure_cut(g, view, seen, elig); + Int128 cut_value = 0; + for (const EdgeId e : expect) cut_value += view[static_cast(e)]; if (!r.min_cut.has_value()) fails.push_back("min_cut missing on a maximal solve"); else if (*r.min_cut != expect) fails.push_back("min_cut differs from the closure cut"); if (cut_value != r.placed) fails.push_back("cut value differs from placed"); } + // The vertices some search settled: the first search runs on the zero flow and settles every + // vertex an allowed source reaches over eligible edges of positive view; a later search adds + // only the reverses of carrying edges, whose ends that one already settled. + std::vector settled(n, 0); + std::vector from_zero; + for (NodeId s : srcs) { + const auto x = static_cast(s); + if (node_ok(s) && !settled[x]) { settled[x] = 1; from_zero.push_back(x); } + } + for (std::size_t qi = 0; qi < from_zero.size(); ++qi) { + for (std::size_t e = 0; e < m; ++e) { + const auto u = static_cast(g.edge_src()[e]); + const auto v = static_cast(g.edge_dst()[e]); + if (u == from_zero[qi] && edge_ok(e) && view[e] > 0 && !settled[v]) { settled[v] = 1; from_zero.push_back(v); } + } + } for (std::size_t v = 0; v < n; ++v) { if (r.potentials[v] < kNeverReached) fails.push_back("potential below the sentinel"); if (seen[v] && r.potentials[v] == kNeverReached) fails.push_back("closure vertex holds NEVER_REACHED"); + if ((r.potentials[v] == kNeverReached) == (settled[v] != 0)) { + fails.push_back("NEVER_REACHED differs from reachability at zero flow at node " + std::to_string(v)); + } } for (NodeId s : srcs) { const auto p = r.potentials[static_cast(s)]; if (node_ok(s) && p != 0) fails.push_back("allowed root with potential other than 0"); } - for (std::size_t u = 0; u < n; ++u) { - if (!seen[u] || r.potentials[u] == kNeverReached) continue; - for (auto [v, w] : out[u]) { - if (v >= n || !seen[v] || r.potentials[v] == kNeverReached) continue; - if (static_cast<__int128>(w) + r.potentials[u] - r.potentials[v] < 0) { - fails.push_back("negative reduced cost inside the closure"); - } - } + // Every residual arc between two closure vertices with potentials: the forward arc of an + // allowed edge with room (its cost) and the backward arc of one that carries flow (minus it). + auto reduced_cost_clause = [&](std::size_t u, std::size_t v, Int128 w) { + if (!seen[u] || !seen[v] || r.potentials[u] == kNeverReached || r.potentials[v] == kNeverReached) return; + if (w + r.potentials[u] - r.potentials[v] < 0) fails.push_back("negative reduced cost inside the closure"); + }; + for (std::size_t e = 0; e < m; ++e) { + if (!edge_ok(e)) continue; + const auto u = static_cast(g.edge_src()[e]); + const auto v = static_cast(g.edge_dst()[e]); + if (r.edge_flows[e] < view[e]) reduced_cost_clause(u, v, g.cost()[e]); + if (r.edge_flows[e] > 0) reduced_cost_clause(v, u, -static_cast(g.cost()[e])); } std::optional pt; for (NodeId d : dsts) { @@ -368,7 +656,9 @@ inline std::vector certify(const Graph& g, std::span for (NodeId d : dsts) { const auto p = r.potentials[static_cast(d)]; if (p == kNeverReached) continue; - if (inf_d[static_cast(d)] > 0 && p != *pt) fails.push_back("inflow destination potential differs from pi(t*)"); + if (balance.inflow[static_cast(d)] > 0 && p != *pt) { + fails.push_back("inflow destination potential differs from pi(t*)"); + } } if (!r.cost_distribution.empty() && r.cost_distribution.back().first != *pt) { fails.push_back("pi(t*) differs from the last curve cost"); @@ -376,46 +666,101 @@ inline std::vector certify(const Graph& g, std::span } else if (r.placed != 0) { fails.push_back("flow delivered but no destination reached"); } - __int128 total = 0, curve_moment = 0; - for (std::size_t i = 0; i < r.cost_distribution.size(); ++i) { - const auto [c, u] = r.cost_distribution[i]; - if (u <= 0) fails.push_back("curve volume not positive"); - if (i > 0 && c <= r.cost_distribution[i - 1].first) fails.push_back("curve costs not strictly increasing"); - total += u; - curve_moment += static_cast<__int128>(c) * u; - } - if (total != r.placed) fails.push_back("curve total differs from placed"); - if (curve_moment != moment) fails.push_back("curve moment differs from the flow cost"); - const auto pts = payload_points(r); + const auto pts = curve_shape_clauses(r.cost_distribution, r.placed, moment, fails); + std::vector> optimum; if (tier_a) { - const auto best = exhaustive_costs(g, view, srcs, dsts, elig); - const Amount fmax = best.rbegin()->first; - const Amount top = cap.has_value() ? std::min(*cap, fmax) : fmax; - if (r.placed != top) fails.push_back("placed differs from min(cap, F_max)"); - for (Amount x = 0; x <= std::min(top, r.placed); ++x) { - auto it = best.find(x); - if (it == best.end() || curve_at(pts, x) != it->second) { - fails.push_back("curve differs from the exhaustive optimum at " + std::to_string(x)); - break; - } - } + for (const auto& [x, c] : exhaustive_costs(g, view, srcs, dsts, elig)) optimum.emplace_back(x, c); } else { - const auto ref = independent_curve(g, view, srcs, dsts, elig); - const Amount fmax = ref.back().first; - const Amount top = cap.has_value() ? std::min(*cap, fmax) : fmax; - if (r.placed != top) fails.push_back("placed differs from min(cap, F_max)"); - std::set xs; - for (auto [x, c] : pts) { (void)c; xs.insert(x); } - for (auto [x, c] : ref) { (void)c; xs.insert(x); } - for (Amount x : xs) { - if (x > std::min(top, r.placed)) continue; - if (curve_at(pts, x) != curve_at(ref, x)) { - fails.push_back("curve differs from the independent solver at " + std::to_string(x)); - break; - } - } + optimum = independent_curve(g, view, srcs, dsts, elig); } + const Amount fmax = optimum.back().first; + const Amount top = cap.has_value() ? std::min(*cap, fmax) : fmax; + if (r.placed != top) fails.push_back("placed differs from min(cap, F_max)"); + curve_optimum_clause(pts, optimum, std::min(top, r.placed), + tier_a ? "the exhaustive optimum" : "the independent solver", fails); return fails; } +// The fields in which two kernel plans differ, by name. `with_route` false leaves the route out: a +// plan built on a larger DAG keeps that DAG as its route but splits over the same members. +inline std::vector plan_differences(const detail::KernelPlan& got, const detail::KernelPlan& want, + bool with_route = true) { + std::vector out; + auto differ = [&](bool same, const char* name) { + if (!same) out.emplace_back(name); + }; + differ(got.placement == want.placement, "placement"); + differ(got.admission == want.admission, "admission"); + differ(got.src == want.src, "src"); + differ(vec(got.dsts) == vec(want.dsts), "dsts"); + if (with_route) differ(got.route == want.route, "route"); + differ(got.members == want.members, "members"); + differ(got.weights == want.weights, "weights"); + differ(vec(got.topo) == vec(want.topo), "topo"); + differ(vec(got.out_begin) == vec(want.out_begin), "out_begin"); + differ(vec(got.out_end) == vec(want.out_end), "out_end"); + differ(vec(got.head_pos) == vec(want.head_pos), "head_pos"); + differ(vec(got.terminal) == vec(want.terminal), "terminal"); + differ(got.src_out_begin == want.src_out_begin, "src_out_begin"); + differ(got.src_out_end == want.src_out_end, "src_out_end"); + return out; +} + +// One record on its own, from its fields alone: `edges` and `drops` hold positive amounts in +// strictly ascending EdgeId, only a Lossy record has `offered` and drops, and the edges carry +// the flow. Lossless: every node other than a source or a destination passes on what it +// receives, and `delivered` is the net inflow of the destinations (the net outflow of the +// sources). Lossy: a transit node passes on what it receives less what is dropped on the edges +// it forwards over, `delivered` is still the destinations' net inflow, and what was offered +// covers what was delivered and dropped (the rest is the source drops). Returns whether the +// record carries something (delivered or dropped). +inline bool expect_conserved(const Graph& g, const FlowRecord& r, const std::string& where) { + const auto n = static_cast(g.num_nodes()); + std::vector in(n, 0), out(n, 0), dropped_out(n, 0); + Amount total_drops = 0; + for (std::size_t i = 0; i < r.edges.size(); ++i) { + const auto [e, x] = r.edges[i]; + EXPECT_GT(x, 0) << where << " edge " << e; + if (i > 0) EXPECT_LT(r.edges[i - 1].first, e) << where; + out[static_cast(g.edge_src()[static_cast(e)])] += x; + in[static_cast(g.edge_dst()[static_cast(e)])] += x; + } + const bool lossy = r.admission == Admission::Lossy; + EXPECT_EQ(r.offered.has_value(), lossy) << where; + if (!lossy) EXPECT_TRUE(r.drops.empty()) << where; + for (std::size_t i = 0; i < r.drops.size(); ++i) { + const auto& [e, c] = r.drops[i]; + EXPECT_EQ(c.hi, 0u) << where; // the trials' drops stay below 2^64 + EXPECT_GT(c.lo, 0u) << where << " drop " << e; + if (i > 0) EXPECT_LT(r.drops[i - 1].first, e) << where; + const auto x = static_cast(c.lo); + dropped_out[static_cast(g.edge_src()[static_cast(e)])] += x; + total_drops += x; + } + auto in_set = [](const std::vector& set, std::size_t v) { + return std::find(set.begin(), set.end(), static_cast(v)) != set.end(); + }; + Amount into_destinations = 0, out_of_sources = 0; + for (std::size_t v = 0; v < n; ++v) { + if (in_set(r.destinations, v)) { + into_destinations += in[v] - out[v]; + } else if (in_set(r.sources, v)) { + out_of_sources += out[v] - in[v]; + } else { + EXPECT_EQ(in[v], out[v] + dropped_out[v]) << where << " node " << v; + } + } + EXPECT_EQ(into_destinations, r.delivered) << where; + if (lossy) { + if (r.offered.has_value() && r.offered->hi == 0) { + EXPECT_GE(static_cast(r.offered->lo), r.delivered + total_drops) << where; + } else { + ADD_FAILURE() << where << ": a Lossy record without offered, or offered beyond 2^64"; + } + } else { + EXPECT_EQ(out_of_sources, r.delivered) << where; + } + return r.delivered > 0 || total_drops > 0; +} + } // namespace netgraph::core::test diff --git a/tests/py/flow_oracle.py b/tests/py/flow_oracle.py index 333b406..b299271 100644 --- a/tests/py/flow_oracle.py +++ b/tests/py/flow_oracle.py @@ -1,10 +1,17 @@ -"""Independent checks of the flow-core payload (APPROACH 2.2) for the Python tests. +"""Independent checks of the flow-core payload (``_place_global_units``) for the Python tests. Nothing here calls the extension's solver: an exhaustive minimum cost of every integer -value on small graphs, and the certificate in its two ordered branches (feasibility, +value on small graphs, an independent successive-shortest-path solver (Bellman-Ford) for the +others, and the certificate in its two ordered branches (the payload shape, feasibility, conservation, attained value, the full residual closure of the real sources and its cut, -potentials with the NEVER_REACHED sentinel tested first, the virtual-terminal convention, -the curve shape, total and moment, and the complete curve against the exhaustive optimum). +potentials with the NEVER_REACHED sentinel tested first (never below it, never on a closure +vertex, and exactly on the vertices that no allowed source reaches over eligible edges of +positive view at zero flow), the virtual-terminal convention, +pi(t*) equal to the last curve cost, the curve shape, total and moment, and the complete +curve: against the exhaustive optimum of every value when the graph has at most 7 edges and +every view is at most 3, else against the independent solver at every breakpoint of either +curve; the C++ certificate checks the same clauses and makes the same two comparisons, its +branch chosen by each test). """ from __future__ import annotations @@ -43,6 +50,60 @@ def exhaustive(num_nodes, src, dst, cost, view, sources, dests, allowed=None): return best +def independent_curve(num_nodes, src, dst, cost, view, sources, dests, allowed=None): + """The minimum-cost curve as breakpoints [(value, cost)], from (0, 0): one shortest + augmenting path at a time, each found by Bellman-Ford over the residual arcs (a virtual + source feeds every source, every destination drains into a virtual sink).""" + big = sum(view) + 1 # more than any flow, so the virtual arcs never bind + arcs = [ + [src[e], dst[e], view[e], cost[e], 0] + for e in range(len(src)) + if allowed is None or allowed[e] + ] + s_v, t_v = num_nodes, num_nodes + 1 + arcs += [[s_v, s, big, 0, 0] for s in sources] + arcs += [[d, t_v, big, 0, 0] for d in dests] + points = [(0, 0)] + while True: + dist: list[int | None] = [None] * (num_nodes + 2) + parent: list[tuple[int, int] | None] = [None] * (num_nodes + 2) + dist[s_v] = 0 + for _ in range(num_nodes + 2): + changed = False + for i, (u, v, cap, w, flow) in enumerate(arcs): + du, dv = dist[u], dist[v] + if flow < cap and du is not None and (dv is None or du + w < dv): + dist[v], parent[v], changed = du + w, (i, 1), True + du, dv = dist[u], dist[v] + if flow > 0 and dv is not None and (du is None or dv - w < du): + dist[u], parent[u], changed = dv - w, (i, -1), True + if not changed: + break + if dist[t_v] is None: + return points + path, v = [], t_v + while v != s_v: + i, sign = parent[v] + path.append((i, sign)) + v = arcs[i][0] if sign == 1 else arcs[i][1] + amount = min( + arcs[i][2] - arcs[i][4] if sign == 1 else arcs[i][4] for i, sign in path + ) + for i, sign in path: + arcs[i][4] += sign * amount + value, total = points[-1] + points.append((value + amount, total + dist[t_v] * amount)) + + +def points_value(points, x): + """Cost of the piecewise-linear curve through the breakpoints at a value in its domain + (an empty or backward segment, which the curve-shape clause rejects, is skipped).""" + for (a, ca), (b, cb) in zip(points, points[1:], strict=False): + if a <= x <= b and a < b: + return ca + Fraction(cb - ca, b - a) * (x - a) + return Fraction(points[-1][1]) + + def curve_value(curve, x): """Cost of the convex function given by its marginal curve at the integer value x.""" total = Fraction(0) @@ -72,6 +133,9 @@ def certify( placed = payload["placed"] curve = [tuple(t) for t in payload["cost_distribution"]] fails: list[str] = [] + if len(f) != m or len(pi) != n: + fails.append("shape") + return fails if cap == 0: zero = { "placed": 0, @@ -106,7 +170,7 @@ def certify( fails.append(f"conservation at {v}") if sum(supply.values()) != placed or sum(inflow.values()) != placed: fails.append("value differs from supply or inflow") - if cap is not None and not 0 <= placed <= cap: + if placed < 0 or (cap is not None and placed > cap): fails.append("placed outside [0, cap]") s_star, t_star = n, n + 1 out: list[list[tuple[int, int]]] = [[] for _ in range(n + 2)] @@ -153,11 +217,26 @@ def certify( fails.append(f"min_cut {payload['min_cut']} != closure cut {expect}") if sum(view[e] for e in expect) != placed: fails.append("cut value differs from placed") + # The vertices some search settled: the first search runs on the zero flow and settles + # every vertex an allowed source reaches over eligible edges of positive view; a later + # search adds only the reverses of carrying edges, whose ends that one already settled. + settled = set(roots) + queue = deque(roots) + while queue: + u = queue.popleft() + for e in range(m): + if src[e] == u and edge_ok[e] and view[e] > 0 and dst[e] not in settled: + settled.add(dst[e]) + queue.append(dst[e]) for v in range(n): if pi[v] < NEVER_REACHED: fails.append("potential below the sentinel") if v in seen and pi[v] == NEVER_REACHED: fails.append(f"closure vertex {v} holds NEVER_REACHED") + if (pi[v] == NEVER_REACHED) == (v in settled): + fails.append( + f"NEVER_REACHED differs from reachability at zero flow at node {v}" + ) for s in roots: if pi[s] != 0: fails.append(f"root {s} potential {pi[s]}") @@ -173,6 +252,8 @@ def certify( for d in reached: if inflow[d] > 0 and pi[d] != pt: fails.append(f"inflow destination {d} potential differs from pi(t*)") + if curve and curve[-1][0] != pt: + fails.append("pi(t*) differs from the last curve cost") elif placed: fails.append("flow delivered but no destination reached") if any(u <= 0 for _c, u in curve): @@ -183,16 +264,28 @@ def certify( fails.append("curve total differs from placed") if sum(c * u for c, u in curve) != sum(cost[e] * f[e] for e in range(m)): fails.append("curve moment differs from the flow cost") + allowed_dests = [d for d in d_all if node_ok[d]] if m <= 7 and max(view, default=0) <= 3: - best = exhaustive( - n, src, dst, cost, view, roots, [d for d in d_all if node_ok[d]], edge_ok - ) + best = exhaustive(n, src, dst, cost, view, roots, allowed_dests, edge_ok) fmax = max(best) top = fmax if cap is None else min(cap, fmax) if placed != top: - fails.append(f"placed {placed} != min(cap, F_max) {top}") + fails.append(f"placed {placed} != min(cap, F_max) {top} (exhaustive)") for x in range(min(top, placed) + 1): if curve_value(curve, x) != best[x]: fails.append(f"curve differs from the exhaustive optimum at {x}") break + else: + ref = independent_curve(n, src, dst, cost, view, roots, allowed_dests, edge_ok) + fmax = ref[-1][0] + top = fmax if cap is None else min(cap, fmax) + if placed != top: + fails.append(f"placed {placed} != min(cap, F_max) {top} (independent)") + mine = [(0, 0)] + for c, u in curve: + mine.append((mine[-1][0] + u, mine[-1][1] + c * u)) + for x in sorted({x for x, _c in mine + ref}): + if x <= min(top, placed) and points_value(mine, x) != points_value(ref, x): + fails.append(f"curve differs from the independent solver at {x}") + break return fails diff --git a/tests/py/helpers.py b/tests/py/helpers.py new file mode 100644 index 0000000..cd950a0 --- /dev/null +++ b/tests/py/helpers.py @@ -0,0 +1,205 @@ +"""Builders and constants shared by the Python tests (not collected: no test_ prefix): graphs, +EdgeId mappings, DAGs, path selections, the two policy configurations most tests use, results +and ledgers as comparable data, the sweep of a call's Python object allocations, and the +pytest.raises pattern of an exact message.""" + +from __future__ import annotations + +import math +import re + +import pytest + +import netgraph_core as ngc + +INF = math.inf +L62 = 1 << 62 +DET = ngc.EdgeTieBreak.DETERMINISTIC +PREFER = ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY +CAP = ngc.EdgePriority.CAPACITY +RES = ngc.EdgePriority.RESIDUAL +# Every optional output of a placement or an evaluator. +ALL_OUT = ngc.OutputOptions(edge_flows=True, residual=True, bottleneck=True) +# A chain 0 -> 1 -> 2 -> 3 (cost 1 per edge) with the bypasses 0 -> 2 and 1 -> 3 (cost 3), every +# capacity 1: (u, v, capacity, cost) in input order. +CHAIN = [(0, 1, 1, 1), (1, 2, 1, 1), (2, 3, 1, 1), (0, 2, 1, 3), (1, 3, 1, 3)] + + +def exact(text): + """The pytest.raises pattern of exactly this message: the whole text, so a message with + anything more, a trailing newline included, does not match.""" + return rf"\A{re.escape(text)}\Z" + + +def build(n, edges, q=1.0): + """A Graph from (u, v, capacity, cost) rows in input order, at resolution q.""" + return ngc.Graph( + n, + [e[0] for e in edges], + [e[1] for e in edges], + [e[2] for e in edges], + [e[3] for e in edges], + q, + ) + + +def to_ids(g, values_in): + """A per-edge list in input order, permuted to EdgeId order.""" + return [values_in[int(i)] for i in g.input_index()] + + +def by_input(g, values): + """A per-edge list in EdgeId order, permuted to input order (the inverse of to_ids).""" + out = [0] * len(values) + for e, x in enumerate(values): + out[int(g.input_index()[e])] = x + return out + + +def stats_of(cache): + """The five statistics of a DagCache as one comparable tuple.""" + s = cache.stats() + return (s.hits, s.misses, s.entries, s.bytes, s.live_values) + + +def ids(g, positions): + """The EdgeIds of the edges at the given input positions, ascending.""" + wanted = {int(p) for p in positions} + return sorted(int(e) for e, p in enumerate(g.input_index()) if int(p) in wanted) + + +def dag_of(g, edges): + """The PredDAG of a set of EdgeIds, through the public PredDAG.from_csr.""" + per = [[] for _ in range(g.num_nodes())] + for e in sorted(edges): + per[int(g.edge_dst()[e])].append(e) + offsets, parents, via = [0], [], [] + for v in range(g.num_nodes()): + for e in per[v]: + parents.append(int(g.edge_src()[e])) + via.append(e) + offsets.append(len(via)) + return ngc.PredDAG.from_csr(g, offsets, parents, via) + + +def sel(tie=DET, prio=CAP, mp=True, me=True): + """A PathSelection: deterministic ties, capacity priority, multipath, multi-edge by default.""" + return ngc.PathSelection(tie, prio, mp, me) + + +def config( + routing, placement=ngc.FlowPlacement.EQUAL_BALANCED, admission=None, selection=None +): + """A FlowPolicyConfig: EqualBalanced, Lossless and sel() by default.""" + return ngc.FlowPolicyConfig( + routing=routing, + placement=placement, + admission=admission or ngc.Admission.LOSSLESS, + selection=selection or sel(), + ) + + +# The exact maximum flow (Global routing, MaxFlow placement) and CostOnly EqualBalanced, both +# Lossless with sel(). Configurations are immutable, so tests share these values. +GLOBAL = config(ngc.Global(), ngc.FlowPlacement.MAX_FLOW) +COSTONLY = config(ngc.CostOnly()) + + +# The result classes whose public attributes are all fields (no methods). +_RESULTS = ( + ngc.PlacementResult, + ngc.SensitivityResult, + ngc.SensitivityEntry, + ngc.SpfResult, +) + + +def plain(value): + """A result as comparable data, with no object identities: a result object by every public + field, a PredDAG by its three arrays, a Path by its endpoints, hops and cost, containers + element by element, arrays as lists.""" + if isinstance(value, _RESULTS): + fields = [f for f in dir(value) if not f.startswith("_")] + return {f: plain(getattr(value, f)) for f in fields} + if isinstance(value, ngc.PredDAG): + return [ + plain(a) + for a in (value.parent_offsets(), value.parents(), value.via_edges()) + ] + if isinstance(value, ngc.Path): + return [value.src(), value.dst(), plain(value.hops()), value.cost()] + if isinstance(value, dict): + return {k: plain(x) for k, x in value.items()} + if isinstance(value, (list, tuple)): + return [plain(x) for x in value] + return value.tolist() if hasattr(value, "tolist") else value + + +def ledger_state(ledger): + """A FlowLedger's public state as comparable data, with no object identity (its uid, which + is also the first half of every FlowId, and its graph's uid, which every bundle carries): + the residual, the allocations and every public field of every record, the bundle as its + three arrays.""" + return [ + ledger.residual().tolist(), + ledger.allocated().tolist(), + [ + ( + r.flow_id[1], + r.owner, + r.sources, + r.destinations, + r.placement, + r.admission, + [ + r.bundle.parent_offsets().tolist(), + r.bundle.parents().tolist(), + r.bundle.via_edges().tolist(), + ], + r.route_cost, + r.offered, + r.delivered, + r.edges, + r.drops, + ) + for r in ledger.records() + ], + ] + + +def full_ledger_state(ledger): + """The ledger's observable state, its next FlowId and bound and orphaned owners included + (``_state()``: private hooks needed).""" + return [ledger._state(), ledger_state(ledger)] + + +def sweep_python_allocation(make, limit=400): + """The all-or-nothing sweep of a call's Python object allocations (private hooks needed). + make() gives fresh (fn, args, snapshot); attempt k = 0, 1, ... makes the k-th Python object + allocation of fn(*args) fail, until a call completes. Every reached failure raises + MemoryError or RuntimeError with no value and leaves snapshot() as it was, and the same call + then returns the reference (the plain() value of a call on fresh state); the call that + completes returns the reference after each of its allocations failed exactly once. Returns + the number of failures, for the caller's check that the sweep is not vacuous.""" + import _netgraph_core as ext + + fn, args, _ = make() + want = plain(fn(*args)) + failures = 0 + for k in range(limit): + fn, args, snapshot = make() + before = snapshot() + hit, seen, value, error = ext._fail_python_allocation(fn, args, k) + where = (getattr(fn, "__name__", fn), k) + if not hit: + assert error is None, (where, repr(error)) + assert plain(value) == want, where + assert seen == failures, (where, seen) # every allocation failed once + return failures + failures += 1 + # A reached failure propagates: a call that absorbed it and returned a value fails here. + assert value is None, (where, value) + assert isinstance(error, (MemoryError, RuntimeError)), (where, repr(error)) + assert snapshot() == before, where + assert plain(fn(*args)) == want, where + pytest.fail(f"{getattr(fn, '__name__', fn)} never completed") diff --git a/tests/py/private_hooks.py b/tests/py/private_hooks.py index 797af25..cb8cca3 100644 --- a/tests/py/private_hooks.py +++ b/tests/py/private_hooks.py @@ -1,6 +1,14 @@ """Whether the extension carries the private hooks (CMake option NETGRAPH_CORE_PRIVATE_HOOKS: ON for the editable development build, OFF for an installed wheel). Tests that need a hook are -skipped without them, never failed.""" +skipped without them, never failed. + +A few scenario tests run in both builds and add checks of the private state observers +(``_state()``: next FlowId, bound and orphaned owners, the requested volume, a flow's members) +under ``if HOOKS:``; without the hooks those lines alone are left out. They are +test_flow_ledger.py's test_lifetime_bound_rows_and_epochs, +test_orphans_from_destruction_reset_and_copy, test_records_fields_and_counters_beyond_64_bits, +test_empty_split_graph_keeps_the_route_cost and test_rejected_requests_leave_the_policy_and_the_ledger, +and test_flow_policy.py's test_lifetimes_keep_alive_and_orphans.""" import _netgraph_core import pytest diff --git a/tests/py/test_apportionment.py b/tests/py/test_apportionment.py index 8321550..b6582a2 100644 --- a/tests/py/test_apportionment.py +++ b/tests/py/test_apportionment.py @@ -1,10 +1,11 @@ -"""The apportionment through the private hooks (``_round_robin``, ``_highest_averages``, -APPROACH 2.1).""" +"""The apportionment through the private hooks (``_round_robin``, ``_highest_averages``; +docs/semantics.md#1-units-the-one-numeric-domain).""" from __future__ import annotations import _netgraph_core as ext import pytest +from helpers import exact from private_hooks import needs_hooks @@ -16,8 +17,11 @@ def test_apportionment_entries(): assert ext._highest_averages(4, [1, 3, 3]) == [0, 2, 2] big = (1 << 62) - 2 a = ext._highest_averages(big, [(1 << 60) + 1, (1 << 60) - 1, 7]) + # By hand: the lower quotas floor(big * w / W), W = 2^61 + 7, are 2^61 - 6, 2^61 - 10 and + # 13; the one unit left goes to the largest w / (a + 1), the second member's. + assert a == [(1 << 61) - 6, (1 << 61) - 9, 13] assert sum(a) == big - with pytest.raises(ValueError, match="outside"): + with pytest.raises(ValueError, match=exact("weights[0] = 0 is outside [1, 2^62)")): ext._highest_averages(1, [0, 1]) - with pytest.raises(ValueError, match="2\\^62"): + with pytest.raises(ValueError, match=exact("the weights sum to 2^62 or more")): ext._highest_averages(1, [1 << 61, 1 << 61]) diff --git a/tests/py/test_dag_cache.py b/tests/py/test_dag_cache.py index 808b8e2..bffcb77 100644 --- a/tests/py/test_dag_cache.py +++ b/tests/py/test_dag_cache.py @@ -1,15 +1,18 @@ -"""The DagCache's modes through the binding (APPROACH 10, 11): the transition table, DagCacheMiss -as a dedicated exception (not a RuntimeError, so never a sensitivity status), the evaluators' -sharing rules (a frozen cache shared by every worker, a building one rejected with two or more), -the reuse of prepopulated Eligibility uids, frozen lookups from several Python threads, and a -frozen cache's statistics under failed calls (review-1d F1, NOTES R27).""" +"""The DagCache's modes through the binding (docs/semantics.md#9-the-dag-cache): the +transition table, DagCacheMiss as a dedicated exception propagated unchanged by the evaluators, +the evaluators' sharing rules (a frozen cache shared by every worker, a +building one rejected with two or more), the reuse of prepopulated Eligibility uids, frozen +lookups from several Python threads, and a frozen cache's statistics under failed calls.""" from __future__ import annotations +import itertools import threading +import traceback import _netgraph_core as ext import pytest +from helpers import ALL_OUT, COSTONLY, GLOBAL, build, stats_of from private_hooks import needs_hooks import netgraph_core as ngc @@ -20,47 +23,30 @@ def fabric(): cost 1).""" rows = [(leaf, s) for leaf in range(6) for s in range(6, 9)] rows += [(s, leaf) for leaf, s in rows] - return ngc.Graph( - 9, - [r[0] for r in rows], - [r[1] for r in rows], - [4] * len(rows), - [1] * len(rows), - 1.0, - ) - - -def costonly(): - return ngc.FlowPolicyConfig( - routing=ngc.CostOnly(), - placement=ngc.FlowPlacement.EQUAL_BALANCED, - admission=ngc.Admission.LOSSLESS, - selection=ngc.PathSelection( - ngc.EdgeTieBreak.DETERMINISTIC, ngc.EdgePriority.CAPACITY - ), - ) + return build(9, [(u, v, 4, 1) for u, v in rows]) -def prepopulate(g, keys, elig=None): +def prepopulate(g, keys): """A building cache holding the CostOnly support of each destination set (a capacity call looks up the destinations' reverse support; the source is spine 6), frozen afterwards.""" cache = ngc.DagCache(g) for dst in keys: - ngc.capacity(g, 6, dst, ngc.CapacityOptions(costonly(), elig=elig, cache=cache)) + ngc.capacity(g, 6, dst, ngc.CapacityOptions(COSTONLY, cache=cache)) cache.freeze() return cache def stats(cache): - s = cache.stats() - return (s.hits, s.misses, s.entries) + """Hits, misses and entries (the three statistics the transition table speaks of).""" + return stats_of(cache)[:3] def test_transition_table(): g = fabric() cache = ngc.DagCache(g) - opts = ngc.CapacityOptions(costonly(), cache=cache) - want = ngc.capacity(g, 0, 3, ngc.CapacityOptions(costonly())).placed + opts = ngc.CapacityOptions(COSTONLY, cache=cache) + want = ngc.capacity(g, 0, 3, ngc.CapacityOptions(COSTONLY)).placed + assert want == 12 # three spines of 4: the comparisons below are not of zeros assert ngc.capacity(g, 0, 3, opts).placed == want assert stats(cache) == (0, 1, 1) cache.freeze() @@ -95,31 +81,35 @@ def test_frozen_cache_shared_by_every_worker(): g = fabric() pairs = [(0, 3), (1, 4), (2, 5), ([0, 1], [3, 4])] want = [ - r.placed for r in ngc.batch_capacity(g, pairs, ngc.CapacityOptions(costonly())) + r.placed for r in ngc.batch_capacity(g, pairs, ngc.CapacityOptions(COSTONLY)) ] building = ngc.DagCache(g) with pytest.raises(ValueError, match="workers == 1"): ngc.batch_capacity( - g, pairs, ngc.CapacityOptions(costonly(), cache=building), workers=2 + g, pairs, ngc.CapacityOptions(COSTONLY, cache=building), workers=2 ) + assert all(w > 0 for w in want) # every pair places: the comparison is not of zeros cache = prepopulate(g, [[3], [4], [5], [3, 4]]) - before = stats(cache) for workers in (1, 2, 4): + before = stats(cache) got = ngc.batch_capacity( - g, pairs, ngc.CapacityOptions(costonly(), cache=cache), workers=workers + g, pairs, ngc.CapacityOptions(COSTONLY, cache=cache), workers=workers ) assert [r.placed for r in got] == want - assert stats(cache) == (before[0] + 12, before[1], 4) - # The lowest failing pair index's miss: pairs 0 and 2 miss, pair 0's key is reported. + assert stats(cache) == (before[0] + 4, before[1], 4), workers # a hit per pair + # The lowest failing pair index's miss: pairs 0 and 2 miss, pair 0's key is reported, and + # the call counts that one miss. partial = prepopulate(g, [[4]]) for workers in (1, 2, 4): + before = stats(partial) with pytest.raises(ngc.DagCacheMiss, match=r"roots \{3\}"): ngc.batch_capacity( g, pairs[:3], - ngc.CapacityOptions(costonly(), cache=partial), + ngc.CapacityOptions(COSTONLY, cache=partial), workers=workers, ) + assert stats(partial) == (before[0], before[1] + 1, 1), workers def test_prepopulated_uids_and_intersections(): @@ -129,15 +119,15 @@ def test_prepopulated_uids_and_intersections(): other = g.eligibility(excluded_edges=[1]) # the intersection with common is new pairs = [(1, 4), (2, 5)] cache = ngc.DagCache(g) - ngc.capacity(g, 1, 4, ngc.CapacityOptions(costonly(), elig=narrow, cache=cache)) - ngc.capacity(g, 2, 5, ngc.CapacityOptions(costonly(), elig=common, cache=cache)) + ngc.capacity(g, 1, 4, ngc.CapacityOptions(COSTONLY, elig=narrow, cache=cache)) + ngc.capacity(g, 2, 5, ngc.CapacityOptions(COSTONLY, elig=common, cache=cache)) cache.freeze() - opts = ngc.CapacityOptions(costonly(), elig=common, cache=cache) + opts = ngc.CapacityOptions(COSTONLY, elig=common, cache=cache) ngc.batch_capacity(g, pairs, opts, [narrow, None], workers=2) # returns the operand ngc.batch_capacity( g, pairs, - ngc.CapacityOptions(costonly(), cache=cache), + ngc.CapacityOptions(COSTONLY, cache=cache), [narrow, common], workers=2, ) @@ -149,24 +139,20 @@ def test_prepopulated_uids_and_intersections(): def test_sensitivity_propagates_the_miss_and_global_reads_no_cache(): g = fabric() cache = prepopulate(g, [[4]]) - opts = ngc.SensitivityOptions(costonly(), cache=cache) + opts = ngc.SensitivityOptions(COSTONLY, cache=cache) for workers in (1, 2, 4): + before = stats(cache) with pytest.raises(ngc.DagCacheMiss, match=r"roots \{4\}"): ngc.sensitivity(g, 1, 4, opts, workers) - glob = ngc.FlowPolicyConfig( - routing=ngc.Global(), - placement=ngc.FlowPlacement.MAX_FLOW, - admission=ngc.Admission.LOSSLESS, - selection=ngc.PathSelection( - ngc.EdgeTieBreak.DETERMINISTIC, ngc.EdgePriority.CAPACITY - ), - ) - want = ngc.sensitivity(g, [0, 1], [4, 5], ngc.SensitivityOptions(glob)) + assert stats(cache) == (before[0], before[1] + 1, 1), workers # the miss, once + want = ngc.sensitivity(g, [0, 1], [4, 5], ngc.SensitivityOptions(GLOBAL)) + assert want.baseline.placed > 0 + assert any(e.loss > 0 for e in want.entries) # the comparison below is not of zeros empty = ngc.DagCache(g) empty.freeze() for workers in (1, 2, 4): got = ngc.sensitivity( - g, [0, 1], [4, 5], ngc.SensitivityOptions(glob, cache=empty), workers + g, [0, 1], [4, 5], ngc.SensitivityOptions(GLOBAL, cache=empty), workers ) assert got.baseline.placed == want.baseline.placed assert [(e.edge, e.loss) for e in got.entries] == [ @@ -179,18 +165,19 @@ def test_frozen_lookups_from_python_threads(): g = fabric() cache = prepopulate(g, [[d] for d in range(6)]) want = { - d: ngc.capacity(g, 6, d, ngc.CapacityOptions(costonly())).placed - for d in range(6) + d: ngc.capacity(g, 6, d, ngc.CapacityOptions(COSTONLY)).placed for d in range(6) } + # The spine's one edge of 4 into each leaf: the comparisons below are not of zeros. + assert want == dict.fromkeys(range(6), 4) errors = [] def reader(t): try: for i in range(60): d = (i + t) % 6 - r = ngc.capacity(g, 6, d, ngc.CapacityOptions(costonly(), cache=cache)) + r = ngc.capacity(g, 6, d, ngc.CapacityOptions(COSTONLY, cache=cache)) assert r.placed == want[d] - except Exception as exc: # noqa: BLE001 - reported below + except BaseException as exc: # reported below; pytest's own failures included errors.append(exc) before = stats(cache) @@ -203,11 +190,6 @@ def reader(t): assert stats(cache) == (before[0] + 240, before[1], 6) -def all_stats(cache): - s = cache.stats() - return (s.hits, s.misses, s.entries, s.bytes, s.live_values) - - def plus(stats, hits=0, misses=0): return (stats[0] + hits, stats[1] + misses, *stats[2:]) @@ -218,23 +200,23 @@ def test_a_failed_call_changes_no_statistic_but_its_miss(): # worker and with several; CostOnly sensitivity drops its baseline's hit the same way. g = fabric() cache = prepopulate(g, [[3]]) - opts = ngc.CapacityOptions(costonly(), cache=cache) + opts = ngc.CapacityOptions(COSTONLY, cache=cache) for workers in (1, 2, 4): - before = all_stats(cache) + before = stats_of(cache) with pytest.raises(ngc.DagCacheMiss, match=r"roots \{4\}"): ngc.batch_capacity( g, [(0, 3), (1, 4), (2, 5), (0, 3)], opts, workers=workers ) - assert all_stats(cache) == plus(before, misses=1) - before = all_stats(cache) + assert stats_of(cache) == plus(before, misses=1) + before = stats_of(cache) with pytest.raises(ngc.DagCacheMiss, match=r"roots \{3\}"): ngc.sensitivity( - g, 0, 3, ngc.SensitivityOptions(costonly(), cache=cache), workers + g, 0, 3, ngc.SensitivityOptions(COSTONLY, cache=cache), workers ) - assert all_stats(cache) == plus(before, misses=1) - before = all_stats(cache) + assert stats_of(cache) == plus(before, misses=1) + before = stats_of(cache) assert ngc.batch_capacity(g, [(0, 3), (1, 3)], opts, workers=2) - assert all_stats(cache) == plus(before, hits=2) + assert stats_of(cache) == plus(before, hits=2) def test_concurrent_calls_keep_every_successful_hit(): @@ -242,7 +224,7 @@ def test_concurrent_calls_keep_every_successful_hit(): # successful capacity (one hit) and a failing batch (its hit dropped, one miss). g = fabric() cache = prepopulate(g, [[3], [4]]) - opts = ngc.CapacityOptions(costonly(), cache=cache) + opts = ngc.CapacityOptions(COSTONLY, cache=cache) errors = [] def caller(): @@ -251,35 +233,36 @@ def caller(): assert ngc.capacity(g, 0, 3, opts).placed > 0 with pytest.raises(ngc.DagCacheMiss): ngc.batch_capacity(g, [(1, 4), (2, 5)], opts, workers=2) - except Exception as exc: # noqa: BLE001 - reported below + except BaseException as exc: # reported below; pytest's own failures included errors.append(exc) - before = all_stats(cache) + before = stats_of(cache) threads = [threading.Thread(target=caller) for _ in range(4)] for t in threads: t.start() for t in threads: t.join() assert errors == [] - assert all_stats(cache) == plus(before, hits=160, misses=160) + assert stats_of(cache) == plus(before, hits=160, misses=160) def sweep_frozen(cache, fn, args, hits=0, miss=False): """fn(*args) with each Python object allocation failing in turn: a failed call leaves all - five statistics as they were, the result object's allocation included (the reviewer's - witness: capacity's allocation 8); the call that completes adds exactly `hits` hits, or, when - its outcome is the DagCacheMiss, one miss. One case keeps the miss: when the call has ended - in the miss and pybind11's translation of DagCacheMiss into its Python exception fails - (MemoryError instead), the miss is counted (NOTES R27, APPROACH 13 limit 1); every such - failure comes after every allocation of the call itself. Returns the number of failures.""" - failures = 0 + five statistics as they were, the result object's allocation included (for example + capacity's allocation 8); the call that completes adds exactly `hits` hits, or, when its + outcome is the DagCacheMiss, one miss. One case keeps the miss: when the call has ended in + the miss and pybind11's translation of DagCacheMiss into its Python exception fails + (MemoryError instead), the miss is counted (pybind11's own machinery is outside the + all-or-nothing guarantee); every such failure comes after every allocation of the call + itself. Returns the number of failures inside the call (the translation's excluded).""" + inside = 0 translated = ( None # the first allocation index past the call (translation of the miss) ) for k in range(1000): - before = all_stats(cache) + before = stats_of(cache) hit, _, _, error = ext._fail_python_allocation(fn, args, k) - after = all_stats(cache) + after = stats_of(cache) if not hit: if miss: assert isinstance(error, ngc.DagCacheMiss), repr(error) @@ -287,8 +270,7 @@ def sweep_frozen(cache, fn, args, hits=0, miss=False): else: assert error is None, repr(error) assert after == plus(before, hits=hits), (k, before, after) - return failures - failures += 1 + return inside assert isinstance(error, (MemoryError, RuntimeError)), (k, repr(error)) if miss and after == plus(before, misses=1): assert isinstance(error, MemoryError), (k, repr(error)) @@ -300,6 +282,7 @@ def sweep_frozen(cache, fn, args, hits=0, miss=False): "a failure inside the call after its translation", ) assert after == before, (k, before, after) + inside += 1 pytest.fail(f"{fn.__name__} never completed") @@ -308,13 +291,13 @@ def test_frozen_statistics_survive_python_allocation_failures(): g = fabric() cache = prepopulate(g, [[3], [4], [3, 4]]) opts = ngc.CapacityOptions( - costonly(), + COSTONLY, cache=cache, - outputs=ngc.OutputOptions(edge_flows=True, residual=True, bottleneck=True), + outputs=ALL_OUT, ) pairs = [(0, 3), (1, 4), ([0, 1], [3, 4])] assert sweep_frozen(cache, ngc.capacity, (g, 0, 3, opts), hits=1) >= 3 - assert sweep_frozen(cache, ngc.capacity, (g, 0, 5, opts), miss=True) >= 1 + assert sweep_frozen(cache, ngc.capacity, (g, 0, 5, opts), miss=True) >= 3 for workers in (1, 2): assert ( sweep_frozen( @@ -329,15 +312,15 @@ def test_frozen_statistics_survive_python_allocation_failures(): (g, [(0, 3), (1, 5)], opts, None, workers), miss=True, ) - >= 1 + >= 3 ) - sens = ngc.SensitivityOptions(costonly(), cache=cache) - assert sweep_frozen(cache, ngc.sensitivity, (g, 0, 3, sens, 1), miss=True) >= 1 - # CostOnly sensitivity from a source that reaches no destination: one hit (the baseline's), - # no placed deletion, and a result with an entry per edge. - island = ngc.Graph(3, [0, 1], [1, 0], [4, 4], [1, 1], 1.0) + sens = ngc.SensitivityOptions(COSTONLY, cache=cache) + assert sweep_frozen(cache, ngc.sensitivity, (g, 0, 3, sens, 1), miss=True) >= 3 + # CostOnly sensitivity from a source that reaches no destination: one hit (the baseline's) + # and no placed deletion. + island = build(3, [(0, 1, 4, 1), (1, 0, 4, 1)]) small = ngc.DagCache(island) - ngc.capacity(island, 0, 1, ngc.CapacityOptions(costonly(), cache=small)) + ngc.capacity(island, 0, 1, ngc.CapacityOptions(COSTONLY, cache=small)) small.freeze() for workers in (1, 2): assert ( @@ -348,10 +331,109 @@ def test_frozen_statistics_survive_python_allocation_failures(): island, 2, 1, - ngc.SensitivityOptions(costonly(), cache=small), + ngc.SensitivityOptions(COSTONLY, cache=small), workers, ), hits=1, ) >= 3 ) + + +@needs_hooks +def test_the_frozen_sweep_rejects_a_wrong_call(): + # sweep_frozen rejects a wrong call, each on its own clause: one that absorbs the injected + # failure; one that publishes a hit before the call the failure reaches; a hit where a miss + # is expected; a miss counted by another cache; a completing call that raises; a hit count + # other than expected; a failed translation of the miss reported as RuntimeError; a failure + # inside a call after a translation; and a call that never completes. + g = fabric() + cache = prepopulate(g, [[3]]) + other = prepopulate(g, [[3]]) + opts = ngc.CapacityOptions(COSTONLY, cache=cache, outputs=ALL_OUT) + elsewhere = ngc.CapacityOptions(COSTONLY, cache=other, outputs=ALL_OUT) + hit = (g, 0, 3, opts) + miss = (g, 0, 5, opts) + + def absorbs(*args): + try: + return ngc.capacity(*args) + except MemoryError: + return None + + def hits_first(*args): + ngc.capacity(*args) + return ngc.capacity(*args) + + def runtime_error(*args): + try: + return ngc.capacity(*args) + except MemoryError: + raise RuntimeError("in place of MemoryError") from None + + # The miss call until its allocations are used up (its translation fails last), then a + # longer call of hits that fails inside. + turn = ext._fail_python_allocation(ngc.capacity, miss, 10**6)[1] + longer = (g, [(0, 3), (1, 3)], opts, None, 1) + assert ext._fail_python_allocation(ngc.batch_capacity, longer, 10**6)[1] > turn + 1 + attempts = itertools.count() + + def inside_after_translation(*args): + if next(attempts) < turn: + return ngc.capacity(*args) + return ngc.batch_capacity(*longer) + + for fn, args, expect, clause in ( + ( + absorbs, + hit, + {"hits": 2}, + "assert isinstance(error, (MemoryError, RuntimeError)), (k, repr(error))", + ), + (hits_first, hit, {"hits": 2}, "assert after == before, (k, before, after)"), + ( + ngc.capacity, + hit, + {"miss": True}, + "assert isinstance(error, ngc.DagCacheMiss), repr(error)", + ), + ( + ngc.capacity, + (g, 0, 5, elsewhere), + {"miss": True}, + "assert after == plus(before, misses=1), (k, before, after)", + ), + (ngc.capacity, (g, 0, 99, opts), {}, "assert error is None, repr(error)"), + ( + ngc.capacity, + hit, + {"hits": 2}, + "assert after == plus(before, hits=hits), (k, before, after)", + ), + ( + runtime_error, + miss, + {"miss": True}, + "assert isinstance(error, MemoryError), (k, repr(error))", + ), + ( + inside_after_translation, + miss, + {"miss": True}, + "assert translated is None, (", + ), + ): + with pytest.raises(AssertionError) as info: + sweep_frozen(cache, fn, args, **expect) + assert traceback.extract_tb(info.tb)[-1].line == clause, clause + + # Made outside the sweep, as every bound object. + uncached = ngc.CapacityOptions(COSTONLY) + + def endless(*args): + while True: + ngc.capacity(g, 0, 3, uncached) + + with pytest.raises(pytest.fail.Exception) as info: + sweep_frozen(cache, endless, hit) + assert str(info.value) == "endless never completed" diff --git a/tests/py/test_docs_examples.py b/tests/py/test_docs_examples.py new file mode 100644 index 0000000..0c3a112 --- /dev/null +++ b/tests/py/test_docs_examples.py @@ -0,0 +1,201 @@ +"""The documented examples print what the documents show (CONTRIBUTING, "Behaviour +Documentation"): every Python example of docs/semantics.md, run in order in one namespace as the +document says, against the ``text`` block that follows it (an example without one prints +nothing), and README's quick start against the output written in the comment of each print.""" + +from __future__ import annotations + +import contextlib +import io +import re +import traceback +from pathlib import Path + +import pytest + +ROOT = Path(__file__).resolve().parents[2] +FENCE = re.compile(r"^```(\w*)\n(.*?)^```$", re.S | re.M) + + +def blocks(text: str) -> list[tuple[int, str, str, int, int]]: + """(line, language, body, start, end) of every fenced block, in document order.""" + found = list(FENCE.finditer(text)) + # A different Markdown closing fence may end a block before the parser's closing line. + assert not any( + re.search(r"^ {0,3}`{3,}[ \t]*$", m.group(2), re.M) for m in found + ), "unsupported closing fence inside a parsed block" + # A fence marker outside the parsed blocks uses an unsupported form or has no closing + # fence. Other markers inside a block are contents an example may print literally. + assert all( + any(m.start() <= fence.start() < m.end() for m in found) + for fence in re.finditer(r"^[ \t]*(?:`{3,}|~{3,}).*$", text, re.M) + ), "only unindented triple-backtick fences with a bare language are supported" + return [ + (text.count("\n", 0, m.start()) + 1, m.group(1), m.group(2), m.start(), m.end()) + for m in found + ] + + +def run(code: str, name: str, namespace: dict) -> str: + out = io.StringIO() + with contextlib.redirect_stdout(out): + exec(compile(code, name, "exec"), namespace) + return out.getvalue() + + +def check_examples(text: str, name: str) -> tuple[int, int]: + """Runs every Python example of a document in order in one namespace and compares what each + prints with the ``text`` block directly after it (an example without one prints nothing). + Returns (the examples, the documented outputs compared); a structural defect or a + mismatch fails an assertion.""" + found = blocks(text) + # Only Python examples and their outputs, each output directly after an example: a fence of + # another language (a typo such as ```py) would otherwise leave an example unchecked. + assert {lang for _, lang, *_ in found} <= {"python", "text"} + for i, (line, lang, _, start, _) in enumerate(found): + if lang == "text": + prev = found[i - 1] if i else None + assert prev is not None and prev[1] == "python", ( + f"line {line}: output of no example" + ) + assert text[prev[4] : start].strip() == "", ( + f"line {line}: text between example and output" + ) + examples = [b for b in found if b[1] == "python"] + assert examples + + namespace: dict = {} + mismatches = [] + outputs = 0 # documented outputs compared with what their example printed + for i, (line, lang, code, _, end) in enumerate(found): + if lang != "python": + continue + nxt = found[i + 1] if i + 1 < len(found) else None + expected = ( + nxt[2] + if nxt and nxt[1] == "text" and text[end : nxt[3]].strip() == "" + else "" + ) + got = run(code, f"{name}:{line}", namespace) + outputs += expected != "" + if got != expected: + mismatches.append( + f"line {line}:\n--- documented\n{expected}--- printed\n{got}" + ) + assert not mismatches, "\n".join(mismatches) + assert outputs == sum(lang == "text" for _, lang, *_ in found) > 0 + return len(examples), outputs + + +def check_quick_start(text: str) -> int: + """Runs README's quick start (the first fenced block after its heading, a Python block) and + compares every line it prints with the comment of its print. Returns the prints compared.""" + heading = text.index("\n## Quick Start\n") + line, lang, code, *_ = next(b for b in blocks(text) if b[3] > heading) + assert lang == "python", f"README.md:{line}: the quick start is not a Python block" + prints = [ln for ln in code.splitlines() if ln.startswith("print(")] + expected = [re.fullmatch(r"print\(.*\)\s+# (.*)", ln) for ln in prints] + assert prints and all(expected), ( + f"README.md:{line}: a print without its output comment" + ) + got = run(code, f"README.md:{line}", {}).splitlines() + assert got == [m.group(1) for m in expected if m] + return len(prints) + + +def test_semantics_examples_print_their_documented_output(): + text = (ROOT / "docs" / "semantics.md").read_text(encoding="utf-8") + # The counts are pinned, so an example deleted together with its output is noticed: a + # change to the document's examples updates them. + assert check_examples(text, "docs/semantics.md") == (13, 12) + + +def test_readme_quick_start_prints_its_commented_output(): + text = (ROOT / "README.md").read_text(encoding="utf-8") + assert check_quick_start(text) > 0 + + +GOOD = "```python\nx = 2\nprint(x)\n```\n\n```text\n2\n```\n\nProse.\n\n```python\ny = x\n```\n" + + +def test_the_checks_reject_a_broken_document(): + # The checkers pass a well-formed document and fail each defect they exist for, each at its + # own clause (the failing source line), so a deleted clause is noticed even when a later + # clause would also fail. + assert check_examples(GOOD, "good") == (2, 1) + literal = "```python\nprint('~~~python\\n ```python')\n```\n\n```text\n~~~python\n ```python\n```\n" + assert check_examples(literal, "literal markers") == (1, 1) + count = 'assert outputs == sum(lang == "text" for _, lang, *_ in found) > 0' + mismatch = 'assert not mismatches, "\\n".join(mismatches)' + broken = { + "a changed output": (GOOD.replace("```text\n2\n", "```text\n3\n"), mismatch), + "an unseen indented example": ( + GOOD + "\n ```python\n print(999)\n ```\n", + "assert all(", + ), + "an unseen tilde example": ( + GOOD + "\n~~~python\nprint(999)\n~~~\n", + "assert all(", + ), + "an unseen longer fence": ( + GOOD + "\n````python\nprint(999)\n````\n", + "assert all(", + ), + "an unseen fence with extra information": ( + GOOD + "\n```python title\nprint(999)\n```\n", + "assert all(", + ), + "an unseen unclosed fence": ( + GOOD + "\n```python\nprint(999)\n", + "assert all(", + ), + "another fence language": ( + GOOD.replace("```python\ny", "```py\ny"), + 'assert {lang for _, lang, *_ in found} <= {"python", "text"}', + ), + "an output of no example": ( + "```text\n2\n```\n\n" + GOOD, + 'assert prev is not None and prev[1] == "python", (', + ), + "prose between an example and its output": ( + GOOD + "\n```python\nz = 1\n```\nProse.\n```text\n1\n```\n", + 'assert text[prev[4] : start].strip() == "", (', + ), + "an example that prints without an output": ( + GOOD.replace("y = x", "print(x)"), + mismatch, + ), + "no example": ("Prose only.\n", "assert examples"), + "an empty output block": ("```python\nx = 1\n```\n\n```text\n```\n", count), + "no documented output": ("```python\nx = 1\n```\n", count), + } + for close in (" ```", "````", "``` "): + printed = "2\n" + close + "\n~~~python\nprint(999)\n~~~" + broken[f"an unseen example after {close!r}"] = ( + GOOD.replace("print(x)", f"print({printed!r})").replace( + "```text\n2\n```", "```text\n" + printed + "\n```" + ), + "assert not any(", + ) + for what, (text, clause) in broken.items(): + with pytest.raises(AssertionError) as info: + check_examples(text, what) + assert traceback.extract_tb(info.tb)[-1].line == clause, what + quick = "# Title\n\n## Quick Start\n\n```python\nprint(1 + 1) # 2\n```\n" + assert check_quick_start(quick) == 1 + commented = "assert prints and all(expected), (" + for text, clause in ( + ( + quick.replace("# 2", "# 3"), # a wrong output comment + "assert got == [m.group(1) for m in expected if m]", + ), + (quick.replace(" # 2", ""), commented), # a print without its comment + (quick.replace("print(1 + 1) # 2", "x = 1"), commented), # no print at all + ( + quick.replace("```python", "```bash"), # the quick start not a Python block + 'assert lang == "python", f"README.md:{line}: the quick start is not a Python block"', + ), + ): + with pytest.raises(AssertionError) as info: + check_quick_start(text) + assert traceback.extract_tb(info.tb)[-1].line == clause, text diff --git a/tests/py/test_edge_amounts.py b/tests/py/test_edge_amounts.py new file mode 100644 index 0000000..6f9500c --- /dev/null +++ b/tests/py/test_edge_amounts.py @@ -0,0 +1,193 @@ +"""The per-edge amount arrays at the binding: a ledger's baseline (at +construction and reset), a search's residual (the public search and its K shortest paths) and +the flow core's view (the private _place_global_units) share one validation of the unnarrowed Python integers: the length first, +then every entry in EdgeId order, the first one outside [0, capacity_units[e]] reported with its +exact value. Each user keeps its own names: ``residual`` / ``residual (units)`` and ``view`` / +``view (capacity units)``. +""" + +from __future__ import annotations + +import _netgraph_core as ext +import numpy as np +import pytest +from helpers import GLOBAL, build, exact, ledger_state, sel + +import netgraph_core as ngc + + +def graph(): + # EdgeIds 0: 0->1 (capacity 5), 1: 1->2 (capacity 3) + return build(3, [(0, 1, 5, 1), (1, 2, 3, 1)]) + + +# Each user: (name, label, call(graph, amounts, later_defect)). With later_defect the call also +# carries an argument checked after the amounts, which must not be the error reported. +def ledger(g, a, later): + return ngc.FlowLedger(g, a) + + +def reset(g, a, later): + fg = ngc.FlowLedger(g, [4, 2]) + fg.reset(a) + return fg + + +def search(g, a, later): + opts = ngc.SpfOptions( + ngc.Direction.FORWARD, sel(), residual=a, min_residual=0 if later else 1 + ) + return ngc.spf(g, 0, opts) + + +def paths(g, a, later): + elig = graph().eligibility() if later else None # a foreign Eligibility + return ngc.ksp(g, 0, 2, ngc.KspOptions(1, sel(), residual=a, elig=elig)) + + +def view(g, a, later): + return ext._place_global_units(g, a, [9] if later else [0], [2], None, None) + + +USERS = { + "ledger": ("residual", "residual (units)", ledger), + "reset": ("residual", "residual (units)", reset), + "search": ("residual", "residual (units)", search), + "paths": ("residual", "residual (units)", paths), + "view": ("view", "view (capacity units)", view), +} + +# (amounts, later defect, the message with {name} and {label}). +CASES = [ + # the length (the shape step) before any entry is read + ([1.5], False, "{name} has length 1, expected 2 (one entry per edge)"), + ([1, 1, 1], False, "{name} has length 3, expected 2 (one entry per edge)"), + ( + np.zeros((1, 2), dtype=np.int64), + False, + "{name} must be a 1-D array (got 2 dimensions)", + ), + ( + [5, [1]], + False, + "{name} must be a 1-D sequence of integers (entry 1 is a sequence)", + ), + ("ab", False, "{name} must be a 1-D sequence of integers (got str)"), + # the entries' types, all of them before any value + ([1, 2.5], False, "{label}[1] must be an integer (got float)"), + ([True, 0], False, "{label}[0] must be an integer (got bool)"), + ([6, 2.5], False, "{label}[1] must be an integer (got float)"), + ( + np.array([1.0, 2.0]), + False, + "{label} entries must be integers (got dtype float64)", + ), + # the values: the first entry outside, exact also beyond int64 + ([-1, 99], False, "{name}[0] = -1 is outside [0, capacity_units[0] = 5]"), + ([5, 4], False, "{name}[1] = 4 is outside [0, capacity_units[1] = 3]"), + ( + [5, 2**70], + False, + "{name}[1] = 1180591620717411303424 is outside [0, capacity_units[1] = 3]", + ), + ( + [-(2**70), 9], + False, + "{name}[0] = -1180591620717411303424 is outside [0, capacity_units[0] = 5]", + ), + ( + np.array([5, 2**64 - 1], dtype=np.uint64), + False, + "{name}[1] = 18446744073709551615 is outside [0, capacity_units[1] = 3]", + ), + # an amount above its capacity (one above; beyond 64 bits) wins over an argument checked + # after the amounts + ([6, 0], True, "{name}[0] = 6 is outside [0, capacity_units[0] = 5]"), + ( + [5, 2**70], + True, + "{name}[1] = 1180591620717411303424 is outside [0, capacity_units[1] = 3]", + ), +] + + +# No argument of a ledger is checked after its baseline: its users take no later defect. +PAIRS = [ + (user, case) + for user in sorted(USERS) + for case in range(len(CASES)) + if not (CASES[case][1] and user in ("ledger", "reset")) +] + + +@pytest.mark.parametrize(("user", "case"), PAIRS) +def test_every_user_reports_the_same_first_defect(user, case): + name, label, call = USERS[user] + amounts, later, text = CASES[case] + want = text.format(name=name, label=label) + with pytest.raises(ValueError, match=exact(want)): + call(graph(), amounts, later) + + +@pytest.mark.parametrize( + ("user", "text"), + [ + ("paths", "foreign Eligibility: built for another graph"), + ("search", "min_residual must be at least 1 unit (got 0)"), + ("view", "sources: node 9 out of node range [0, 3)"), + ], +) +def test_the_later_defect_alone_is_rejected(user, text): + # The later defect of the cases above is a defect of its own: with valid amounts the call + # still fails, so those cases test an order. + with pytest.raises(ValueError, match=exact(text)): + USERS[user][2](graph(), [5, 3], True) + + +# What each user's result shows of the amounts it took, for full amounts (the capacities) and +# for zero ones: the ledger's residual (its baseline), the search's costs (an edge with 0 units +# left is not used: its head stays unreached), the number of paths and the flow placed. +BOUND_OUTCOMES = { + "ledger": (lambda r: r.residual().tolist(), [5, 3], [0, 0]), + "reset": (lambda r: r.residual().tolist(), [5, 3], [0, 0]), + "search": ( + lambda r: r.costs.tolist(), + [0, 1, 2], + [0, ngc.UNREACHABLE, ngc.UNREACHABLE], + ), + "paths": (len, 1, 0), + "view": (lambda r: (r["placed"], r["edge_flows"]), (3, [3, 3]), (0, [0, 0])), +} + + +@pytest.mark.parametrize("user", sorted(USERS)) +def test_every_user_accepts_the_bounds(user): + _name, _label, call = USERS[user] + shown, full, zero = BOUND_OUTCOMES[user] + for amounts, want in ( + ([5, 3], full), + ([0, 0], zero), + (np.array([5, 3], dtype=np.uint64), full), + ): + assert shown(call(graph(), amounts, False)) == want, amounts + + +def test_a_failed_reset_leaves_the_ledger_unchanged(): + g = graph() + fg = ngc.FlowLedger(g, [4, 2]) + policy = ngc.FlowPolicy(fg, 0, 2, GLOBAL) + assert policy.place(2).placed == 2 + del policy # its records stay as orphans: reset() is allowed and would clear them + + uid, before = fg.uid(), ledger_state(fg) + assert before[1] == [2, 2] and len(before[2]) == 1 + for bad in ([1], [1, 2.5], [6, 0], [4, 2**70]): + with pytest.raises(ValueError): + fg.reset(bad) + assert (fg.uid(), ledger_state(fg)) == (uid, before) + fg.reset([1, 1]) + assert (fg.residual().tolist(), fg.allocated().tolist(), fg.records()) == ( + [1, 1], + [0, 0], + [], + ) diff --git a/tests/py/test_flow_core.py b/tests/py/test_flow_core.py index 81f9c0b..d68599d 100644 --- a/tests/py/test_flow_core.py +++ b/tests/py/test_flow_core.py @@ -1,5 +1,5 @@ -"""The private flow-core entry `_netgraph_core._place_global_units` (APPROACH 2.2): the payload -schema, the review witnesses, input validation and randomized certificates.""" +"""The private flow-core entry `_netgraph_core._place_global_units`: the payload +schema, the hand-derived witnesses, input validation and randomized certificates.""" from __future__ import annotations @@ -8,9 +8,14 @@ import _netgraph_core as core import numpy as np import pytest -from flow_oracle import NEVER_REACHED, certify - -import netgraph_core as ngc +from flow_oracle import ( + NEVER_REACHED, + certify, + exhaustive, + independent_curve, + points_value, +) +from helpers import CHAIN, build, by_input, exact, ids, to_ids COUNTERS = { "dijkstra_runs", @@ -20,29 +25,13 @@ "dinic_phases", "augmentations", } -CHAIN = [(0, 1, 1, 1), (1, 2, 1, 1), (2, 3, 1, 1), (0, 2, 1, 3), (1, 3, 1, 3)] - - -def build(n, edges, q=1.0): - return ngc.Graph( - n, - [e[0] for e in edges], - [e[1] for e in edges], - [e[2] for e in edges], - [e[3] for e in edges], - q, - ) - -def by_input(g, values): - out = [0] * len(values) - for e, x in enumerate(values): - out[int(g.input_index()[e])] = x - return out - -def to_ids(g, values_in): - return [values_in[int(i)] for i in g.input_index()] +def allowed(elig): + """The certificate's masks of an Eligibility (None: everything allowed).""" + if elig is None: + return None, None + return elig.node_allowed(), elig.edge_allowed() def solve(g, sources, dests, cap, view=None, elig=None): @@ -93,14 +82,24 @@ def test_chain_plus_bypasses(): ) for cap, p in ((1, one), (2, two), (None, inf)): assert certify(g, g.capacity_units().tolist(), [0], [3], cap, p) == [] - masked = solve( - g, - [0], - [3], - None, - elig=g.eligibility(excluded_edges=[to_ids(g, list(range(5))).index(1)]), - ) + mask = g.eligibility(excluded_edges=[ids(g, [1])[0]]) + masked = solve(g, [0], [3], None, elig=mask) assert masked["cost_distribution"] == [[4, 2]] + view = g.capacity_units().tolist() + assert certify(g, view, [0], [3], None, masked, *allowed(mask)) == [] + # Every cost times a factor: the curve's costs and the potentials scale, the volumes, flows, + # cut and operation counters do not. + for factor in (2, 7, 1000003): + scaled_g = build(4, [(u, v, c, w * factor) for u, v, c, w in CHAIN]) + scaled = solve(scaled_g, [0], [3], 2) + assert scaled["cost_distribution"] == [[3 * factor, 1], [5 * factor, 1]] + assert scaled["potentials"] == [0, 2 * factor, 3 * factor, 5 * factor] + for key in ("placed", "edge_flows", "min_cut", "counters"): + assert scaled[key] == two[key], (factor, key) + assert ( + certify(scaled_g, scaled_g.capacity_units().tolist(), [0], [3], 2, scaled) + == [] + ) def test_zero_cap_and_positive_cap_on_zero_view(): @@ -114,9 +113,12 @@ def test_zero_cap_and_positive_cap_on_zero_view(): "potentials": [NEVER_REACHED] * 3, "counters": dict.fromkeys(COUNTERS, 0), } - p = solve(g, [0], [2], 4, view=to_ids(g, [0, 5])) + assert certify(g, [5, 5], [0], [2], 0, z) == [] + zero_view = to_ids(g, [0, 5]) + p = solve(g, [0], [2], 4, view=zero_view) assert p["placed"] == 0 and p["min_cut"] == [] and p["potentials"] == [0, -1, -1] assert p["counters"]["dijkstra_runs"] == 1 + assert certify(g, zero_view, [0], [2], 4, p) == [] def test_legal_maximum_and_anycast(): @@ -128,42 +130,55 @@ def test_legal_maximum_and_anycast(): and p["cost_distribution"] == [[1, big]] and p["min_cut"] == [0] ) + assert certify(g, [big], [0], [1], None, p) == [] a = build(3, [(0, 1, 1, 1), (0, 2, 1, 2)]) q = solve(a, [0], [1, 2], None) assert q["placed"] == 2 and q["cost_distribution"] == [[1, 1], [2, 1]] assert q["potentials"] == [0, 2, 2] - assert solve(a, np.array([0, 0]), np.array([2, 1, 2]), np.int64(5)) == solve( - a, [0], [1, 2], 5 - ) + assert certify(a, [1, 1], [0], [1, 2], None, q) == [] + five = solve(a, np.array([0, 0]), np.array([2, 1, 2]), np.int64(5)) + assert five == solve(a, [0], [1, 2], 5) + assert certify(a, [1, 1], [0], [1, 2], 5, five) == [] -def test_release_witness_fresh_solve(): +def test_fresh_solve_uses_the_released_cheap_edge(): + # Two parallel edges 0 -> 1 (cost 1 with 1 unit, cost 3 with 2 units), then 1 -> 2. A view + # in which the cheap edge has its unit back (say, released by an earlier flow) is solved + # from scratch: the unit goes over the cheap edge, at cost 2. g = build(3, [(0, 1, 1, 1), (0, 1, 2, 3), (1, 2, 2, 1)]) - p = solve(g, [0], [2], 1, view=to_ids(g, [1, 1, 1])) + view = to_ids(g, [1, 1, 1]) + p = solve(g, [0], [2], 1, view=view) assert by_input(g, p["edge_flows"]) == [1, 0, 1] assert p["cost_distribution"] == [[2, 1]] + assert certify(g, view, [0], [2], 1, p) == [] @pytest.mark.parametrize( - "kwargs, pattern", + "kwargs, message", [ - ({"view": [1]}, "view has length 1, expected 2"), - ({"view": [1, 6]}, "capacity_units"), - ({"view": [1.0, 1.0]}, "view"), - ({"view": [-1, 0]}, "outside"), ({"sources": []}, "sources: the node set is empty"), ({"destinations": []}, "destinations: the node set is empty"), - ({"sources": [3]}, "out of node range"), - ({"sources": [0, 2]}, "both endpoint sets"), - ({"sources": [0.0]}, "sources"), - ({"cap": -1}, "cap"), - ({"cap": 1 << 63}, "cap"), - ({"cap": (1 << 63) - 1}, "cap"), - ({"cap": 1.0}, "cap"), - ({"cap": True}, "cap"), + ({"sources": [3]}, "sources: node 3 out of node range [0, 3)"), + ( + {"sources": [0, 2]}, + "node 2 is in both endpoint sets: sources and destinations must not overlap", + ), + ({"sources": [0.0]}, "sources node ids[0] must be an integer (got float)"), + ({"cap": -1}, "cap -1 is outside [0, 2^63 - 2]"), + ({"cap": 1 << 63}, "cap 9223372036854775808 is outside [0, 2^63 - 2]"), + ({"cap": (1 << 63) - 1}, "cap 9223372036854775807 is outside [0, 2^63 - 2]"), + ( + {"cap": 1.0}, + "cap must be an integer number of units in [0, 2^63 - 2] or None", + ), + ( + {"cap": True}, + "cap must be an integer number of units in [0, 2^63 - 2] or None", + ), + ({"graph": None}, "graph must be a Graph"), ], ) -def test_invalid_inputs(kwargs, pattern): +def test_invalid_inputs(kwargs, message): g = build(3, [(0, 1, 5, 1), (1, 2, 5, 1)]) call = { "graph": g, @@ -174,21 +189,57 @@ def test_invalid_inputs(kwargs, pattern): "cap": 3, } call.update(kwargs) - with pytest.raises(ValueError, match=pattern): + with pytest.raises(ValueError, match=exact(message)): core._place_global_units(**call) def test_foreign_eligibility_and_largest_cap(): g = build(3, [(0, 1, 5, 1), (1, 2, 5, 1)]) h = build(3, [(0, 1, 5, 1), (1, 2, 5, 1)]) - with pytest.raises(ValueError, match="foreign Eligibility"): + with pytest.raises( + ValueError, match=exact("foreign Eligibility: built for another graph") + ): solve(g, [0], [2], 1, elig=h.eligibility()) assert solve(g, [0], [2], (1 << 63) - 2)["placed"] == 5 +def kinds_of(sources, dests, view, g, cap, elig, excluded_nodes, p): + """The kinds of case a certified solve with a positive flow belongs to (none for no + flow): several sources or destinations, a view below the capacities, a cap that stopped + the solve (no cut) or a maximum flow proved by its cut, an Eligibility, an excluded node.""" + if p["placed"] == 0: + return [] + return [ + kind + for kind, present in ( + ("positive", True), + ("several sources", len(sources) > 1), + ("several destinations", len(dests) > 1), + ("reduced view", view != g.capacity_units().tolist()), + ("stopped by the cap", cap is not None and p["min_cut"] is None), + ("maximum with its cut", bool(p["min_cut"])), + ("masked", elig is not None), + ("node masked", bool(excluded_nodes)), + ) + if present + ] + + def test_random_graphs_certified(): rng = random.Random(2026) - positive = 0 + # The kinds of case the draws aim at, each to be certified at least this often (well below + # of today's counts: a change of the draws that loses a kind fails here). + floors = { + "positive": 51, + "several sources": 14, + "several destinations": 11, + "reduced view": 10, + "stopped by the cap": 6, + "maximum with its cut": 28, + "masked": 16, + "node masked": 1, + } + kinds = dict.fromkeys(floors, 0) for _ in range(400): n = rng.randint(2, 5) edges = [ @@ -206,32 +257,153 @@ def test_random_graphs_certified(): ] cap = rng.choice([None, 0, 1, rng.randint(0, 6), (1 << 63) - 2]) elig = None + excluded_nodes = [] if rng.random() < 0.4: + excluded_nodes = [rng.randrange(n)] if rng.random() < 0.3 else [] elig = g.eligibility( - excluded_nodes=[rng.randrange(n)] if rng.random() < 0.3 else [], + excluded_nodes=excluded_nodes, excluded_edges=[rng.randrange(len(edges))] if rng.random() < 0.6 else [], ) p = solve(g, sources, dests, cap, view=view, elig=elig) - fails = certify( - g, - view, - sources, - dests, - cap, - p, - None if elig is None else elig.node_allowed(), - None if elig is None else elig.edge_allowed(), + fails = certify(g, view, sources, dests, cap, p, *allowed(elig)) + assert fails == [], (edges, sources, dests, view, cap, fails) + for kind in kinds_of(sources, dests, view, g, cap, elig, excluded_nodes, p): + kinds[kind] += 1 + assert all(kinds[k] >= floors[k] for k in floors), kinds + + +def test_random_larger_graphs_certified_by_the_independent_solver(): + # Past the exhaustive bound (more than 7 edges here), the certificate compares the curve + # with the independent solver; that solver first matches the exhaustive optimum at every + # value of a small graph, so the second tier's reference is itself checked. + # The chain with bypasses at capacities 4: its second batch of 4 units cancels the first + # batch's flow on 1 -> 2 (the backward residual arc), so the optimum is 4 units at cost 3, + # then 4 at cost 5. + wide_chain = build(4, [(u, v, 4, w) for u, v, _c, w in CHAIN]) + args = ( + 4, + wide_chain.edge_src().tolist(), + wide_chain.edge_dst().tolist(), + wide_chain.cost().tolist(), + wide_chain.capacity_units().tolist(), + ) + assert independent_curve(*args, [0], [3]) == [(0, 0), (4, 12), (8, 32)] + p = solve(wide_chain, [0], [3], None) + assert p["cost_distribution"] == [[3, 4], [5, 4]] + assert certify(wide_chain, args[4], [0], [3], None, p) == [] + # Small graphs of 4 to 7 edges of capacity 1 or 2, with one or two sources and destinations + # and most with some edges excluded (the certificate passes both solvers its sets and its + # edge mask): the independent solver's curve equals the exhaustive optimum at every value, + # many of them after two augmentations or more. + oracle_rng = random.Random(2028) + # The kinds of case, each to be crossed at least this often (well below today's counts). + floors = { + "several augmentations": 45, + "several sources": 60, + "several destinations": 50, + "edges excluded": 50, + } + crossed = dict.fromkeys(floors, 0) + for _ in range(400): + n = oracle_rng.randint(3, 4) + small = [ + ( + oracle_rng.randrange(n), + oracle_rng.randrange(n), + oracle_rng.randint(1, 2), + oracle_rng.randint(1, 5), + ) + for _ in range(oracle_rng.randint(4, 7)) + ] + args = ( + n, + [u for u, _v, _c, _w in small], + [v for _u, v, _c, _w in small], + [w for _u, _v, _c, w in small], + [c for _u, _v, c, _w in small], ) + nodes = list(range(n)) + oracle_rng.shuffle(nodes) + ns = oracle_rng.randint(1, 2) + nd = oracle_rng.randint(1, min(2, n - ns)) + sources, dests = nodes[:ns], nodes[ns : ns + nd] + mask = None + if oracle_rng.random() < 0.7: + mask = [oracle_rng.random() < 0.8 for _ in small] + case = (small, sources, dests, mask) + best = exhaustive(*args, sources, dests, mask) + ref = independent_curve(*args, sources, dests, mask) + assert ref[-1][0] == max(best), case + assert all(points_value(ref, x) == c for x, c in best.items()), case + if max(best) > 0: + crossed["several augmentations"] += len(ref) > 2 + crossed["several sources"] += len(sources) > 1 + crossed["several destinations"] += len(dests) > 1 + crossed["edges excluded"] += mask is not None and not all(mask) + assert all(crossed[k] >= floors[k] for k in floors), crossed + rng = random.Random(2027) + # The kinds of case the draws aim at, each to be certified at least this often (well below + # today's counts). + floors = { + "positive": 40, + "several augmentations": 21, + "cost factor above 1": 8, + "several sources": 23, + "several destinations": 22, + "reduced view": 38, + "stopped by the cap": 11, + "maximum with its cut": 30, + "masked": 21, + "node masked": 3, + } + kinds = dict.fromkeys(floors, 0) + for _ in range(120): + n = rng.randint(3, 7) + factor = rng.choice([1, 1, 3, 1000003]) + edges = [ + ( + rng.randrange(n), + rng.randrange(n), + rng.randint(0, 9), + rng.randint(1, 9) * factor, + ) + for _ in range(rng.randint(8, 14)) + ] + g = build(n, edges) + nodes = list(range(n)) + rng.shuffle(nodes) + ns = rng.randint(1, 2) + sources, dests = nodes[:ns], nodes[ns : ns + rng.randint(1, min(2, n - ns))] + view = [ + c if rng.random() < 0.7 else rng.randint(0, c) + for c in g.capacity_units().tolist() + ] + cap = rng.choice([None, 1, rng.randint(0, 20), (1 << 63) - 2]) + elig = None + excluded_nodes = [] + if rng.random() < 0.4: + excluded_nodes = [rng.randrange(n)] if rng.random() < 0.3 else [] + elig = g.eligibility( + excluded_nodes=excluded_nodes, + excluded_edges=[rng.randrange(len(edges))], + ) + p = solve(g, sources, dests, cap, view=view, elig=elig) + fails = certify(g, view, sources, dests, cap, p, *allowed(elig)) assert fails == [], (edges, sources, dests, view, cap, fails) - positive += p["placed"] > 0 - assert positive > 50 + for kind in kinds_of(sources, dests, view, g, cap, elig, excluded_nodes, p): + kinds[kind] += 1 + several = len(p["cost_distribution"]) > 1 + kinds["several augmentations"] += several + kinds["cost factor above 1"] += several and factor > 1 + assert all(kinds[k] >= floors[k] for k in floors), kinds def test_entry_validates_in_the_core_order_before_narrowing(): - # review-1a D1 for the private entry: view length, view entries, sources, destinations, - # overlap, cap, each checked on the unnarrowed value. + # The private entry validates in a fixed order: view length, view entries, sources, + # destinations, overlap, cap, each checked on the unnarrowed value. The view's own checks, + # entries before a later argument included, are the shared ones of test_edge_amounts.py. g = build(3, [(0, 1, 5, 1), (1, 2, 5, 1)]) def call(**kw): @@ -245,43 +417,341 @@ def call(**kw): args.update(kw) return core._place_global_units(g, **args) - with pytest.raises(ValueError, match="view has length 1, expected 2"): - call(view=[2**70], sources=[2**40]) with pytest.raises( - ValueError, match=r"view\[0\] = 1180591620717411303424 is outside" + ValueError, match=exact("view has length 1, expected 2 (one entry per edge)") ): - call(view=[2**70, 5], sources=[2**40]) + call(view=[2**70], sources=[2**40]) with pytest.raises( - ValueError, match=r"sources: node 1099511627776 out of node range" + ValueError, match=exact("sources: node 1099511627776 out of node range [0, 3)") ): call(sources=[2**40], destinations=[-(2**70)]) - with pytest.raises(ValueError, match=r"destinations: node -1180591620717411303424"): + with pytest.raises( + ValueError, + match=exact( + "destinations: node -1180591620717411303424 out of node range [0, 3)" + ), + ): call(destinations=[-(2**70)], cap=-1) - with pytest.raises(ValueError, match="both endpoint sets"): + with pytest.raises( + ValueError, + match=exact("destinations: node 1099511627776 out of node range [0, 3)"), + ): + call(sources=[0, 2], destinations=[2, 2**40], cap=2**70) + with pytest.raises( + ValueError, + match=exact( + "node 2 is in both endpoint sets: sources and destinations must not overlap" + ), + ): call(sources=[0, 2], cap=2**70) - with pytest.raises(ValueError, match="cap 1180591620717411303424 is outside"): + with pytest.raises( + ValueError, match=exact("cap 1180591620717411303424 is outside [0, 2^63 - 2]") + ): call(cap=2**70) - with pytest.raises(ValueError, match="cap -1180591620717411303424 is outside"): - call(cap=-(2**70)) with pytest.raises( - ValueError, match=r"view\[1\] = 18446744073709551615 is outside" + ValueError, match=exact("cap -1180591620717411303424 is outside [0, 2^63 - 2]") ): - call(view=np.array([5, 2**64 - 1], dtype=np.uint64)) + call(cap=-(2**70)) def test_entry_view_rank_is_checked_with_its_length(): + # A 0-D view (the 2-D and nested views are test_edge_amounts.py's), and a 2-D sources array. g = build(3, [(0, 1, 5, 1), (1, 2, 5, 1)]) with pytest.raises( - ValueError, match=r"view must be a 1-D array \(got 2 dimensions\)" - ): - core._place_global_units(g, np.array([[5, 5]]), [2**40], [2], None, 3) - with pytest.raises( - ValueError, match=r"view must be a 1-D array \(got 0 dimensions\)" + ValueError, match=exact("view must be a 1-D array (got 0 dimensions)") ): core._place_global_units(g, np.array(5), [0], [2], None, 3) with pytest.raises( - ValueError, match=r"view must be a 1-D sequence of integers \(entry 1" + ValueError, + match=exact("sources node ids must be a 1-D array (got 2 dimensions)"), ): - core._place_global_units(g, [5, [5]], [0], [2], None, 3) - with pytest.raises(ValueError, match="sources node ids must be a 1-D array"): core._place_global_units(g, [5, 5], np.array([[0]]), [2], None, -1) + + +def test_certificate_rejects_mutated_payloads(): + # Each clean payload certifies first; changing one field must fail the clause it + # breaks. These controls include payload shape and the destination potential + # pi(t*) against the last curve cost, which the C++ certificate also checks. + def rejected(g, cap, payload, mutate, dests=(1,), allowed=(None, None)): + view = g.capacity_units().tolist() + assert certify(g, view, [0], list(dests), cap, payload, *allowed) == [] + mutate(payload) + return certify(g, view, [0], list(dests), cap, payload, *allowed) + + one = build(2, [(0, 1, 3, 7)]) + # Underfill: placed 1 is certified for cap 1 and an early stop for cap 2. + under = solve(one, [0], [1], 1) + assert certify(one, [3], [0], [1], 1, under) == [] + assert "attained value: early stop" in certify(one, [3], [0], [1], 2, under) + # The same underfill without a cap, in both branches (capacity 3 takes the exhaustive one, + # capacity 4 the independent solver's): an uncapped solve must be maximal, so the two clauses + # that prove it fail and nothing else does. + for capacity, branch in ((3, "exhaustive"), (4, "independent")): + single = build(2, [(0, 1, capacity, 7)]) + assert certify( + single, [capacity], [0], [1], None, solve(single, [0], [1], 1) + ) == [ + "uncapped solve left the destinations connected", + f"placed 1 != min(cap, F_max) {capacity} ({branch})", + ] + assert "curve moment differs from the flow cost" in rejected( + one, 2, solve(one, [0], [1], 2), lambda p: p.update(cost_distribution=[[6, 2]]) + ) + assert rejected( + one, None, solve(one, [0], [1], None), lambda p: p.update(min_cut=[]) + ) == ["min_cut [] != closure cut [0]"] + # The curve-shape clauses, each the only failure: an entry of volume 0 before the real one, + # and the one tier split in two at the same cost (total, moment and pi(t*) hold). Capacity 3 + # takes the exhaustive branch, capacity 4 the independent solver's. + for capacity in (3, 4): + single = build(2, [(0, 1, capacity, 7)]) + assert solve(single, [0], [1], None)["cost_distribution"] == [[7, capacity]] + assert rejected( + single, + None, + solve(single, [0], [1], None), + lambda p, c=capacity: p.update(cost_distribution=[[6, 0], [7, c]]), + ) == ["curve volume not positive"] + assert rejected( + single, + None, + solve(single, [0], [1], None), + lambda p, c=capacity: p.update(cost_distribution=[[7, 1], [7, c - 1]]), + ) == ["curve costs not strictly increasing"] + par = build(2, [(0, 1, 1, 1), (0, 1, 1, 3)]) + # Same moment as [[1, 1], [3, 1]], the breakpoint at 1 omitted. + assert "curve differs from the exhaustive optimum at 1" in rejected( + par, + None, + solve(par, [0], [1], None), + lambda p: p.update(cost_distribution=[[2, 2]]), + ) + anycast = build(3, [(0, 1, 1, 1), (0, 2, 1, 2)]) + # Destination 1 lowered to 1 becomes pi(t*), so destination 2, which also receives, differs. + assert "inflow destination 2 potential differs from pi(t*)" in rejected( + anycast, + None, + solve(anycast, [0], [1, 2], None), + lambda p: p["potentials"].__setitem__( + 1, 1 + ), # an inflow destination below pi(t*) + dests=(1, 2), + ) + assert "closure vertex 1 holds NEVER_REACHED" in rejected( + one, + 1, + solve(one, [0], [1], 1), + lambda p: p.update(potentials=[NEVER_REACHED, NEVER_REACHED]), + ) + assert rejected( + one, 0, solve(one, [0], [1], 0), lambda p: p["counters"].update(dijkstra_runs=1) + ) == ["zero cap: the prescribed zero payload"] + # The payload shape: one edge flow too many. + assert rejected( + one, None, solve(one, [0], [1], None), lambda p: p["edge_flows"].append(0) + ) == ["shape"] + # pi(t*) alone: the saturated edge leaves the destination outside the closure, so only the + # last curve cost (7) pins its potential. + assert rejected( + one, + None, + solve(one, [0], [1], None), + lambda p: p["potentials"].__setitem__(1, 8), + ) == ["pi(t*) differs from the last curve cost"] + # The flow clauses. Two parallel edges of capacity 1 and cost 1 carry one unit each; both + # units on EdgeId 0 keep the value, conservation and the cost but exceed its view of 1. + twin = build(2, [(0, 1, 1, 1), (0, 1, 1, 1)]) + over = solve(twin, [0], [1], None) + assert over["edge_flows"] == [1, 1] + assert "feasibility at 0" in rejected( + twin, None, over, lambda p: p.update(edge_flows=[2, 0]) + ) + # EdgeId 1 masked: the solve uses EdgeId 0; moving its unit to EdgeId 1 puts flow on the + # ineligible edge at the same cost. + mask = twin.eligibility(excluded_edges=[1]) + masked = solve(twin, [0], [1], None, elig=mask) + assert masked["edge_flows"] == [1, 0] + assert "flow on ineligible edge 1" in rejected( + twin, + None, + masked, + lambda p: p.update(edge_flows=[0, 1]), + allowed=(mask.node_allowed(), mask.edge_allowed()), + ) + # The chain 0 -> 1 -> 2 carries 2 units; one unit less out of node 1 leaves it unbalanced. + chain = build(3, [(0, 1, 2, 1), (1, 2, 2, 1)]) + out_of_1 = 0 if int(chain.edge_src()[0]) == 1 else 1 + assert "conservation at 1" in rejected( + chain, + None, + solve(chain, [0], [2], None), + lambda p: p["edge_flows"].__setitem__(out_of_1, 1), + dests=(2,), + ) + # The same chain with capacities 5, capped at 1: every vertex is in the closure with + # potentials (0, 1, 2). Raising pi(1) to 3 makes the reduced costs of 0 -> 1 (1 + 0 - 3) + # and of the backward arc 2 -> 1 (-1 + 2 - 3) negative; pi(t*) = 2 is still the last curve + # cost, so these two are the only failures. + wide = build(3, [(0, 1, 5, 1), (1, 2, 5, 1)]) + capped = solve(wide, [0], [2], 1) + assert capped["potentials"] == [0, 1, 2] + assert rejected( + wide, 1, capped, lambda p: p["potentials"].__setitem__(1, 3), dests=(2,) + ) == ["negative reduced cost 0->1", "negative reduced cost 2->1"] + # Past the exhaustive bound (capacities 4): the cut 0 -> 1 lets one unit through, and from + # node 1 the direct edge to 3 costs 5, the detour through 2 costs 1 + 1. One unit sent the + # direct way is feasible and conserved with the same cut and a matching pi(t*), but costs 6, + # not the optimum 3; only the independent solver's curve catches it. + detour = build(4, [(0, 1, 1, 1), (1, 3, 4, 5), (1, 2, 4, 1), (2, 3, 4, 1)]) + direct = [ + 1 if (int(u), int(v)) in ((0, 1), (1, 3)) else 0 + for u, v in zip(detour.edge_src(), detour.edge_dst(), strict=True) + ] + + def costlier(p): + p.update(edge_flows=direct, cost_distribution=[[6, 1]]) + p["potentials"][3] = 6 + + assert rejected( + detour, None, solve(detour, [0], [3], None), costlier, dests=(3,) + ) == ["curve differs from the independent solver at 1"] + # Two parallel edges of capacity 4 at costs 2 and 4: the curve [[3, 8]] keeps the moment 24, + # the value and pi(t*) = 3, and equals the optimum at its own breakpoints 0 and 8; only the + # independent solver's breakpoint at 4 (cost 8, not 12) shows it. + par4 = build(2, [(0, 1, 4, 2), (0, 1, 4, 4)]) + + def averaged(p): + p.update(cost_distribution=[[3, 8]]) + p["potentials"][1] = 3 + + assert rejected(par4, None, solve(par4, [0], [1], None), averaged) == [ + "curve differs from the independent solver at 4" + ] + + +def test_certificate_rejects_every_other_clause(): + # The clauses (and each condition of a clause with several) that the test above does not + # reach, one control each, as in the C++ twin. A control expects the exact list where the + # mutation can break one clause alone, else the clause it targets among those it also breaks. + def mutated(g, sources, dests, cap, mutate, elig=None): + view = g.capacity_units().tolist() + masks = allowed(elig) + payload = solve(g, sources, dests, cap, elig=elig) + assert certify(g, view, sources, dests, cap, payload, *masks) == [] + mutate(payload) + return certify(g, view, sources, dests, cap, payload, *masks) + + def flows(g, by_position): + """A mutation setting the edge flows of the given input positions.""" + + def mutate(p): + for pos, x in by_position.items(): + p["edge_flows"][ids(g, [pos])[0]] = x + + return mutate + + def potential(v, x): + return lambda p: p["potentials"].__setitem__(v, x) + + # One edge 0 -> 1 of capacity 3 and cost 7. Uncapped, the edge is saturated, so the closure + # is {0} and the destination's potential (7) is pinned only by the last curve cost; under + # cap 1 the destination stays in the closure. + one = build(2, [(0, 1, 3, 7)]) + assert mutated(one, [0], [1], None, lambda p: p["potentials"].append(0)) == [ + "shape" + ] + # The zero-cap payload, each of its fields alone (the counters are the test above's control). + for field, value in ( + ("placed", 1), + ("cost_distribution", [[7, 1]]), + ("min_cut", []), + ("edge_flows", [1]), + ("potentials", [0, NEVER_REACHED]), + ): + assert mutated( + one, [0], [1], 0, lambda p, f=field, x=value: p.update({f: x}) + ) == ["zero cap: the prescribed zero payload"], field + # A negative edge flow (the test above sends one above the view). + assert "feasibility at 0" in mutated(one, [0], [1], None, flows(one, {0: -1})) + # Sources {0, 1}, destination 2, edges 0 -> 1 and 1 -> 2: source 1 sends its unit directly. + # Moving it to 0 -> 1 makes source 1 absorb a unit. With destinations {1, 2} and source 0 + # the unit stops at destination 1; moving it to 1 -> 2 makes destination 1 emit a unit. + two = build(3, [(0, 1, 1, 1), (1, 2, 1, 1)]) + assert "source 1" in mutated(two, [0, 1], [2], None, flows(two, {0: 1, 1: 0})) + assert "destination 1" in mutated(two, [0], [1, 2], None, flows(two, {0: 0, 1: 1})) + # Excluded endpoints: 0 -> 2 and 1 -> 2 with sources {0, 1} and source 0 excluded (and with + # it the edge 0 -> 2); a unit on 0 -> 2 is supplied by the excluded source. Mirrored, 0 -> 1 + # and 0 -> 2 with destinations {1, 2} and destination 2 excluded. + into_2 = build(3, [(0, 2, 1, 1), (1, 2, 1, 1)]) + assert "source 0" in mutated( + into_2, + [0, 1], + [2], + None, + flows(into_2, {0: 1}), + into_2.eligibility(excluded_nodes=[0]), + ) + out_of_0 = build(3, [(0, 1, 1, 1), (0, 2, 1, 1)]) + assert "destination 2" in mutated( + out_of_0, + [0], + [1, 2], + None, + flows(out_of_0, {1: 1}), + out_of_0.eligibility(excluded_nodes=[2]), + ) + # The value against the supply alone and the inflow alone: on the chain 0 -> 1 -> 2 carrying + # 2, one unit less into node 1 lowers the supply only, one unit less out of it the inflow only. + chain = build(3, [(0, 1, 2, 1), (1, 2, 2, 1)]) + for pos in (0, 1): + assert "value differs from supply or inflow" in mutated( + chain, [0], [2], None, flows(chain, {pos: 1}) + ), pos + # placed outside [0, cap]: above the cap, and negative without one. + assert "placed outside [0, cap]" in mutated( + one, [0], [1], 1, lambda p: p.update(placed=2) + ) + assert "placed outside [0, cap]" in mutated( + one, [0], [1], None, lambda p: p.update(placed=-1) + ) + # The cut: present while cap 1 leaves the destination reachable, and its value (3) against + # a lowered placed (which also breaks the value and the curve total). + assert mutated(one, [0], [1], 1, lambda p: p.update(min_cut=[])) == [ + "min_cut on a connected solve" + ] + assert "cut value differs from placed" in mutated( + one, [0], [1], None, lambda p: p.update(placed=2) + ) + # The potentials: node 1's (outside the closure) below the sentinel (also below pi(t*)), + # the root's (the closure), and no destination potential at all although 3 units arrive + # (node 1 is reached at zero flow, so the sentinel also breaks that clause). + assert "potential below the sentinel" in mutated( + one, [0], [1], None, potential(1, NEVER_REACHED - 1) + ) + assert mutated(one, [0], [1], None, potential(0, 1)) == ["root 0 potential 1"] + assert mutated(one, [0], [1], None, potential(1, NEVER_REACHED)) == [ + "NEVER_REACHED differs from reachability at zero flow at node 1", + "flow delivered but no destination reached", + ] + # The sentinel against reachability at zero flow, each direction alone. On 0 -> 1 and + # 2 -> 1 nothing reaches node 2, which must hold NEVER_REACHED, not 0 or another value. On + # 0 -> 1 (capacity 3, cost 7) and 1 -> 2, uncapped, the first search settles node 2 through + # node 1 and the saturated edge then leaves both outside the closure: node 2 must not hold + # NEVER_REACHED. + unreached = build(3, [(0, 1, 1, 1), (2, 1, 1, 1)]) + for x in (0, 123456): + assert mutated(unreached, [0], [1], None, potential(2, x)) == [ + "NEVER_REACHED differs from reachability at zero flow at node 2" + ], x + beyond = build(3, [(0, 1, 3, 7), (1, 2, 1, 1)]) + assert mutated(beyond, [0], [1], None, potential(2, NEVER_REACHED)) == [ + "NEVER_REACHED differs from reachability at zero flow at node 2" + ] + # The curve total: a free tier of 1 before the real one keeps the moment (21) and pi(t*), + # and the curve then also differs from the optimum at 1. + assert mutated( + one, [0], [1], None, lambda p: p.update(cost_distribution=[[0, 1], [7, 3]]) + ) == [ + "curve total differs from placed", + "curve differs from the exhaustive optimum at 1", + ] diff --git a/tests/py/test_flow_ledger.py b/tests/py/test_flow_ledger.py index afd7d1a..f29de94 100644 --- a/tests/py/test_flow_ledger.py +++ b/tests/py/test_flow_ledger.py @@ -1,62 +1,46 @@ -"""The integer ledger FlowLedger through the bindings (APPROACH 8): baselines on unnarrowed -values, snapshots and records, FlowIds, bottleneck, and the lifetime table driven by manual -placements: FlowPolicy with Pinned routing and one bundle (the contract's manual flow), whose -PlacementResult the tests read.""" +"""The integer ledger FlowLedger through the bindings (docs/semantics.md#6-the-ledger): +baselines on unnarrowed values, snapshots and records, FlowIds, bottleneck, and the lifetime +table driven by manual placements: FlowPolicy with Pinned routing and one bundle (a manual +flow), whose PlacementResult the tests read.""" from __future__ import annotations import copy import gc -import math +import itertools import numpy as np import pytest -from private_hooks import HOOKS +from helpers import ( + COSTONLY, + GLOBAL, + INF, + L62, + RES, + build, + config, + dag_of, + exact, + ids, + ledger_state, + sel, +) +from private_hooks import HOOKS, needs_hooks import netgraph_core as ngc -L62 = 1 << 62 -INF = math.inf T = ngc.Termination -def build(n, edges, q=1.0): - return ngc.Graph( - n, - [e[0] for e in edges], - [e[1] for e in edges], - [e[2] for e in edges], - [e[3] for e in edges], - q, - ) - - -def dag_of(g, edges): - """The PredDAG of an edge set (ascending via per node).""" - per = [[] for _ in range(g.num_nodes())] - for e in sorted(edges): - per[int(g.edge_dst()[e])].append(e) - offsets, parents, via = [0], [], [] - for v in range(g.num_nodes()): - for e in per[v]: - parents.append(int(g.edge_src()[e])) - via.append(e) - offsets.append(len(via)) - return ngc.PredDAG.from_csr(g, offsets, parents, via) - - -def pinned(fg, src, dst, edges, placement, admission=None, priority=None, elig=None): +def pinned(fg, src, dst, edges, placement, admission=None, priority=None): """A manual flow: a FlowPolicy with Pinned routing and one bundle (the edges' DAG).""" - cfg = ngc.FlowPolicyConfig( - routing=ngc.Pinned([dag_of(fg.graph(), edges)]), - placement=placement, - admission=admission if admission is not None else ngc.Admission.LOSSLESS, - selection=ngc.PathSelection( - ngc.EdgeTieBreak.DETERMINISTIC, - priority if priority is not None else ngc.EdgePriority.RESIDUAL, - ), + cfg = config( + ngc.Pinned([dag_of(fg.graph(), edges)]), + placement, + admission, + sel(prio=RES if priority is None else priority), ) - return ngc.FlowPolicy(fg, src, dst, cfg, elig) + return ngc.FlowPolicy(fg, src, dst, cfg) def flow_id(policy): @@ -93,6 +77,35 @@ def test_baseline_validation_order_and_snapshots(): fg2 = ngc.FlowLedger(graph=g, residual=np.array([1, 2], dtype=np.uint64)) assert list(fg2.residual()) == [1, 2] assert fg2.uid() != fg.uid() + # residual() and allocated() are copies: writing one changes neither the ledger nor the next + # snapshot. capacity_units() is a read-only view of the graph's own capacities. + for snapshot in (fg.residual, fg.allocated): + a = snapshot() + assert a.dtype == np.int64 + before = a.tolist() + a[0] = 7 + assert snapshot().tolist() == before + assert list(fg.residual()) == [5, 3] and list(fg.allocated()) == [0, 0] + view = fg.capacity_units() + assert view.dtype == np.int64 and not view.flags.writeable + assert np.shares_memory(view, g.capacity_units()) + + +def test_the_ledger_has_no_public_placement_or_removal(): + # Only policies place or remove flows: the public members are the readers, reset and copy. + public = {n for n in dir(ngc.FlowLedger) if not n.startswith("_")} + assert public == { + "allocated", + "bottleneck", + "capacity_units", + "copy", + "graph", + "record", + "records", + "reset", + "residual", + "uid", + } def test_lifetime_bound_rows_and_epochs(): @@ -120,6 +133,8 @@ def test_lifetime_bound_rows_and_epochs(): fg.copy() with pytest.raises(ValueError, match="bound"): copy.copy(fg) + with pytest.raises(ValueError, match="bound"): + copy.deepcopy(fg) r = p.place(2) assert (r.placed, r.termination, r.routes_changed, flow_id(p)[1]) == ( 2, @@ -185,6 +200,8 @@ def test_orphans_from_destruction_reset_and_copy(): if HOOKS: assert fg._state() == {"next_flow_id": 2, "bound": [], "orphans": []} assert len(c.records()) == 2 # the copy is independent + fg.reset() # no baseline: back to the capacities + assert list(fg.residual()) == [5] def test_policy_keeps_the_ledger_alive(): @@ -211,17 +228,33 @@ def test_records_fields_and_counters_beyond_64_bits(): rec = fg.records()[0] assert rec.flow_id == (fg.uid(), 0) assert (rec.owner, rec.sources, rec.destinations) == (0, [0], [3]) + # The bundle is the ledger's own PredDAG, shared by every snapshot (not a copy). + assert rec.bundle is fg.records()[0].bundle is fg.record(rec.flow_id).bundle assert (rec.placement, rec.admission) == (EB, LOSSY) assert list(rec.bundle.via_edges()) == [0, 1, 2, 3] assert (rec.route_cost, rec.offered, rec.delivered) == (2, 10, 6) assert rec.edges == [(0, 5), (1, 5), (2, 1), (3, 5)] assert rec.drops == [(2, 4)] assert fg.record(rec.flow_id).delivered == 6 - # Lossless records: no offered; a route without a walk at creation: route_cost None. + # Records are snapshots: a later call changes the ledger's record, not one read before it. + held = fg.record(rec.flow_id) + p.place(1) + assert (rec.offered, held.offered, fg.record(rec.flow_id).offered) == (10, 10, 11) + # Lossless records: no offered. g2 = build(2, [(0, 1, 1, 1)]) fg2 = ngc.FlowLedger(g2) pinned(fg2, 0, 1, [0], MF).place(1) assert fg2.records()[0].offered is None + # An empty bundle: route_cost None. Global routing keeps a record per source; one unit from + # sources 0 and 1 takes the cheaper edge 0 -> 2, so source 1 has no share. + g3 = build(3, [(0, 2, 1, 1), (1, 2, 1, 5)]) + fg3 = ngc.FlowLedger(g3) + assert ngc.FlowPolicy(fg3, [0, 1], 2, GLOBAL).place(1).placed == 1 + rec_used, rec_idle = fg3.records() + assert (rec_used.sources, rec_used.route_cost, rec_used.delivered) == ([0], 1, 1) + assert (rec_idle.sources, rec_idle.route_cost, rec_idle.delivered) == ([1], None, 0) + assert rec_idle.edges == [] + assert list(rec_idle.bundle.via_edges()) == [] # Every unit dropped on a saturated link, nine times: the counters pass 2^64. sat = pinned(fg2, 0, 1, [0], EB, LOSSY) for _ in range(9): @@ -234,10 +267,23 @@ def test_records_fields_and_counters_beyond_64_bits(): assert lossy.offered > 1 << 64 +def test_record_endpoint_sets_are_ascending(): + # A destination set given out of order and with a repeat: every record lists it ascending, + # once; a record per source under Global, each with its one source. + g = build(4, [(0, 2, 5, 1), (0, 3, 5, 1), (1, 2, 5, 1), (1, 3, 5, 1)]) + fg = ngc.FlowLedger(g) + ngc.FlowPolicy(fg, 0, [3, 2, 3], COSTONLY).place(2) + ngc.FlowPolicy(fg, [1, 0, 1], [3, 2], GLOBAL).place(4) + records = fg.records() + assert [r.destinations for r in records] == [[2, 3]] * len(records) + assert sorted(r.sources for r in records[1:]) == [[0], [1]] + assert records[0].sources == [0] and len(records) == 3 + + def test_empty_split_graph_keeps_the_route_cost(): # Weighted Residual with every route edge at residual 0 under another owner's flow: the # record exists at zero delivery with an empty split graph; route_cost is the bundle's - # minimum walk cost (APPROACH 8), not a split-graph value. + # minimum walk cost, not a split-graph value. g = build(2, [(0, 1, 2, 3)]) fg = ngc.FlowLedger(g) pinned(fg, 0, 1, [0], MF).place(2) @@ -261,44 +307,114 @@ def test_flow_ids_of_other_ledgers_and_bad_shapes(): a, b = ngc.FlowLedger(g), ngc.FlowLedger(g) p = pinned(a, 0, 1, [0], MF) p.place(1) - with pytest.raises(ValueError, match="another ledger"): + with pytest.raises( + ValueError, + match=exact(f"FlowId {flow_id(p)} belongs to another ledger (uid {b.uid()})"), + ): b.record(flow_id(p)) - with pytest.raises(ValueError, match="tuple"): + with pytest.raises(ValueError, match=exact("a FlowId is a tuple (ledger uid, id)")): a.record(0) - with pytest.raises(ValueError, match="retired or unknown"): + with pytest.raises( + ValueError, match=exact(f"FlowId ({a.uid()}, {L62 * 8}) is retired or unknown") + ): a.record((a.uid(), L62 * 8)) -def test_requests_are_integer_units_or_inf(): +@needs_hooks +def test_a_flow_id_read_passes_an_allocation_failure_through(): + # A ledger uid outside [0, 2^64) names no ledger: the read raises "retired or unknown". When a + # Python allocation fails while that range error is raised, the call raises MemoryError, never + # the "retired or unknown" answer (which would hide the failure). Both readers of a FlowId. + import _netgraph_core as ext + g = build(2, [(0, 1, 5, 1)]) fg = ngc.FlowLedger(g) - p = pinned(fg, 0, 1, [0], EB) - for bad, msg in ( - (1.5, "integer units or"), - (-1, "out of range"), - (L62, "out of range"), - (True, "integer"), - (-INF, "integer units or"), - (float("nan"), "integer units or"), + policy = pinned(fg, 0, 1, [0], MF) + for uid, read in itertools.product( + (-1, 2**64, -(2**70)), (fg.record, policy.record) ): - with pytest.raises(ValueError, match=msg): - p.place(bad) + failures = 0 + for k in range(100): + hit, _, value, error = ext._fail_python_allocation(read, ((uid, 0),), k) + assert value is None, (k, value) + if not hit: + assert isinstance(error, ValueError), (k, repr(error)) + assert str(error) == f"FlowId ({uid}, 0) is retired or unknown" + break + failures += 1 + assert isinstance(error, (MemoryError, RuntimeError)), (k, repr(error)) + else: + pytest.fail("the read never completed") + assert failures > 0 + + +@pytest.mark.parametrize("routing", ["Pinned", "CostOnly", "Global"]) +def test_rejected_requests_leave_the_policy_and_the_ledger(routing): + """Every rejected request (a value that is not an integer unit or +inf, outside [0, 2^62), + or finite after +inf), on a fresh policy, after a finite call and after +inf, leaves the + ledger and the policy as they were: the records, allocations and placed demand always, and + with the private hooks the epoch state itself (the requested total, the +inf flag and the + flows). A NumPy integer is an integer unit.""" + g = build(4, [(0, 1, 5, 1), (1, 3, 5, 1), (0, 2, 3, 2), (2, 3, 3, 2)]) + fg = ngc.FlowLedger(g) + if routing == "Pinned": + p = pinned(fg, 0, 3, [0, 2], EB) # EdgeIds of 0 -> 1 -> 3 + else: + p = ngc.FlowPolicy(fg, 0, 3, GLOBAL if routing == "Global" else COSTONLY) + + def state(): + own = p._state() if HOOKS else None + return ledger_state(fg), p.placed_demand(), own + + def rejected(requests): + before = state() + for value, msg in requests: + with pytest.raises(ValueError, match=exact(msg)): + p.place(value) + assert state() == before + return before + + physical = ( + "requests are integer units or +inf (a physical request goes through " + "to_units first; got {})" + ) + out_of_range = "request (units) = {} is out of range [0, 4611686018427387903]" + bad = [ + (1.5, physical.format("1.5")), + (-1, out_of_range.format(-1)), + (L62, out_of_range.format(L62)), + ] + bad += [ + (True, "request (units) must be an integer (got bool)"), + (-INF, physical.format("-inf")), + (float("nan"), physical.format("nan")), + ] + rejected(bad) assert fg.records() == [] - assert p.place(np.int64(2)).placed == 2 + assert p.place(np.int64(4)).placed == 4 + rejected(bad) + p.place(INF) + after_inf = ( + "a finite request after +inf is rejected within an epoch (the cumulative " + "finite request is undefined)" + ) + before = rejected([(1, after_inf), (0, after_inf), *bad]) + if HOOKS: + assert (before[2]["requested"], before[2]["infinite"]) == (4, True) -def test_bottleneck_versus_min_cut(): +def test_ledger_bottleneck_with_eligibility_and_errors(): g = build(4, [(0, 1, 1, 1), (0, 2, 2, 3), (1, 2, 1, 1), (2, 3, 2, 1)]) fg = ngc.FlowLedger(g) p = pinned(fg, 0, 3, range(4), MF) r = p.place(INF) assert (r.placed, r.termination) == (2, T.EXHAUSTED) - inv = [0] * 4 - for e, pos in enumerate(g.input_index()): - inv[pos] = e - assert fg.bottleneck(0) == sorted([inv[0], inv[3]]) - assert fg.bottleneck([0, 0]) == sorted([inv[0], inv[3]]) + assert fg.bottleneck(0) == ids(g, [0, 3]) + assert fg.bottleneck([0, 0]) == ids(g, [0, 3]) assert fg.bottleneck([0], g.eligibility(excluded_nodes=[0])) == [] + # An excluded edge is neither crossed nor listed: without 0 -> 2 (the one edge with residual) + # the sources reach only {0}; of its leaving edges 0 -> 1 is listed and 0 -> 2 is not. + assert fg.bottleneck([0], g.eligibility(excluded_edges=ids(g, [1]))) == ids(g, [0]) with pytest.raises(ValueError, match="empty"): fg.bottleneck([]) with pytest.raises(ValueError, match="out of node range"): @@ -319,14 +435,7 @@ def test_pinned_construction_errors(): with pytest.raises(ValueError, match="both endpoint sets"): pinned(fg, 1, 1, [0], MF) other = build(3, [(0, 1, 5, 1), (2, 1, 5, 1)]) - foreign = ngc.FlowPolicyConfig( - routing=ngc.Pinned([dag_of(other, [0])]), - placement=MF, - admission=ngc.Admission.LOSSLESS, - selection=ngc.PathSelection( - ngc.EdgeTieBreak.DETERMINISTIC, ngc.EdgePriority.RESIDUAL - ), - ) + foreign = config(ngc.Pinned([dag_of(other, [0])]), MF, selection=sel(prio=RES)) with pytest.raises(ValueError, match="foreign PredDAG"): ngc.FlowPolicy(fg, 0, 1, foreign) fg.reset() # no policy is bound diff --git a/tests/py/test_flow_policy.py b/tests/py/test_flow_policy.py index c2f1d2c..54cce64 100644 --- a/tests/py/test_flow_policy.py +++ b/tests/py/test_flow_policy.py @@ -1,76 +1,42 @@ -"""The policy engine, the DagCache and the evaluators through the bindings (APPROACH 8 to 11): +"""The policy engine, the DagCache and the evaluators through the bindings (docs/semantics.md): configuration objects and their structural validation, PlacementResult fields and outputs, -lifetimes, the evaluators with workers, and the cache statistics. Prototype 2's fixtures -replay in ``test_flow_policy_fixtures.py``.""" +lifetimes, the evaluators with workers, and the cache statistics. The fixtures of the reference +(``tests/reference/policy/``) replay in ``test_flow_policy_fixtures.py``.""" from __future__ import annotations import gc import math +import sys +import weakref -import _netgraph_core as ext import numpy as np import pytest +from helpers import ( + ALL_OUT, + COSTONLY, + GLOBAL, + INF, + L62, + RES, + build, + config, + dag_of, + exact, + full_ledger_state, + ids, + plain, + sel, + sweep_python_allocation, + to_ids, +) from private_hooks import HOOKS, needs_hooks import netgraph_core as ngc -INF = math.inf -L62 = 1 << 62 T = ngc.Termination -def build(n, edges, q=1.0): - return ngc.Graph( - n, - [e[0] for e in edges], - [e[1] for e in edges], - [e[2] for e in edges], - [e[3] for e in edges], - q, - ) - - -def ids(g, positions): - inv = [0] * g.num_edges() - for e, pos in enumerate(g.input_index()): - inv[int(pos)] = e - return sorted(inv[p] for p in positions) - - -def dag(g, edges): - per = [[] for _ in range(g.num_nodes())] - for e in sorted(edges): - per[int(g.edge_dst()[e])].append(e) - offsets, parents, via = [0], [], [] - for v in range(g.num_nodes()): - for e in per[v]: - parents.append(int(g.edge_src()[e])) - via.append(e) - offsets.append(len(via)) - return ngc.PredDAG.from_csr(g, offsets, parents, via) - - -def sel( - tie=ngc.EdgeTieBreak.DETERMINISTIC, prio=ngc.EdgePriority.CAPACITY, mp=True, me=True -): - return ngc.PathSelection(tie, prio, mp, me) - - -def config( - routing, placement=ngc.FlowPlacement.EQUAL_BALANCED, admission=None, selection=None -): - return ngc.FlowPolicyConfig( - routing=routing, - placement=placement, - admission=admission or ngc.Admission.LOSSLESS, - selection=selection or sel(), - ) - - -GLOBAL = config(ngc.Global(), ngc.FlowPlacement.MAX_FLOW) - - def diamond(a=5, b=3, c=1): # input edges: 0: 0->1, 1: 1->3 (cap a, cost 1); 2: 0->2, 3: 2->3 (cap b, cost c) return build(4, [(0, 1, a, 1), (1, 3, a, 1), (0, 2, b, c), (2, 3, b, c)]) @@ -86,7 +52,7 @@ def test_configurations_are_structural_and_explicit(): routing=ngc.CostOnly(), placement=ngc.FlowPlacement.MAX_FLOW ) with pytest.raises(TypeError, match="incompatible"): - ngc.CostOnly(flow_count=2) # a field outside its routing variant (rule 13) + ngc.CostOnly(flow_count=2) # a field outside its routing variant: TypeError with pytest.raises(TypeError, match="incompatible"): ngc.Global(max_flow_count=4) with pytest.raises(TypeError, match="routing"): @@ -113,58 +79,356 @@ def test_configurations_are_structural_and_explicit(): ).max_path_cost == ngc.Absolute(7) with pytest.raises(TypeError): ngc.CapacityAware(2) # keyword-only - for bad in (2**40, True, 1.5): - with pytest.raises(ValueError, match="flow_count"): + for bad, message in ( + (2**40, "flow_count = 1099511627776 is out of range [-2147483648, 2147483647]"), + (True, "flow_count must be an integer (got bool)"), + (1.5, "flow_count must be an integer (got float)"), + ): + with pytest.raises(ValueError, match=exact(message)): ngc.CapacityAware(flow_count=bad) - with pytest.raises(ValueError, match="min_flow_bandwidth"): + with pytest.raises( + ValueError, + match=exact( + "min_flow_bandwidth (units) = 1208925819614629174706176 is out of range " + "[-9223372036854775808, 9223372036854775807]" + ), + ): ngc.CapacityAware(min_flow_bandwidth=2**80) with pytest.raises(TypeError, match="PredDAG"): ngc.Pinned([[0, 1]]) cfg = config(ca) assert isinstance(cfg.routing, ngc.CapacityAware) assert cfg.routing.flow_count == 2 + # Every field reads back as built, with the documented defaults. + d = ngc.CapacityAware() + assert ( + d.flow_count, + d.max_flow_count, + d.max_path_cost, + d.min_flow_bandwidth, + d.reoptimize, + d.diminishing, + ) == (1, None, None, 0, False, None) + s = sel(ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, RES, False, True) + cfg = config(ngc.Global(), ngc.FlowPlacement.MAX_FLOW, ngc.Admission.LOSSY, s) + assert cfg.placement == ngc.FlowPlacement.MAX_FLOW + assert cfg.admission == ngc.Admission.LOSSY + assert cfg.selection == s + assert (ngc.OutputOptions().edge_flows, ngc.OutputOptions().residual) == ( + False, + False, + ) + assert ngc.OutputOptions().bottleneck is False + for flags in ((True, False, False), (False, True, False), (False, False, True)): + o = ngc.OutputOptions( + edge_flows=flags[0], residual=flags[1], bottleneck=flags[2] + ) + assert (o.edge_flows, o.residual, o.bottleneck) == flags + # Pinned keeps the bundles in supply order, copied from the given list: each read is a new + # list of the same PredDAG objects, and changing a list read changes nothing. + g = diamond() + a, b = dag_of(g, ids(g, [0, 1])), dag_of(g, ids(g, [2, 3])) + given = [b, a] + pinned = ngc.Pinned(given) + given.append(a) + first = pinned.bundles + assert first == [b, a] and first[0] is b and first[1] is a + first.append(b) + second = pinned.bundles + assert second == [b, a] and second is not first + # A policy's config is the configuration it was built with. + pol = ngc.FlowPolicy( + ngc.FlowLedger(g), 0, 3, config(pinned, ngc.FlowPlacement.MAX_FLOW) + ) + assert pol.config.placement == ngc.FlowPlacement.MAX_FLOW + assert pol.config.routing.bundles == [b, a] + # The constructors' own checks: an integer field outside its C++ type raises ValueError; a + # field of the wrong class, a reoptimize that is not a truth value and an unknown keyword + # raise TypeError. reoptimize takes a bool, a number or None by its truth value. + with pytest.raises( + ValueError, + match=exact( + "max_flow_count = 2147483648 is out of range [-2147483648, 2147483647]" + ), + ): + ngc.CapacityAware(max_flow_count=2**31) + with pytest.raises( + ValueError, + match=exact( + "diminishing window = 2147483648 is out of range [-2147483648, 2147483647]" + ), + ): + ngc.DiminishingReturns(2**31, 0.5) + assert ngc.Absolute(2**63 - 1).cost == 2**63 - 1 + assert ngc.Absolute(-(2**63)).cost == -(2**63) + for bad in (2**63, -(2**63) - 1): + with pytest.raises( + ValueError, + match=exact( + f"Absolute cost = {bad} is out of range [-9223372036854775808, 9223372036854775807]" + ), + ): + ngc.Absolute(bad) + with pytest.raises( + TypeError, match=exact("max_path_cost must be Absolute, Stretch or None") + ): + ngc.CapacityAware(max_path_cost=3) + with pytest.raises( + TypeError, match=exact("diminishing must be DiminishingReturns or None") + ): + ngc.CapacityAware(diminishing=0.5) + with pytest.raises(TypeError): + ngc.CapacityAware(reoptimize="yes") + assert [ngc.CapacityAware(reoptimize=x).reoptimize for x in (1, 0, 2.5, None)] == [ + True, + False, + True, + False, + ] + with pytest.raises(TypeError): + ngc.CapacityAware(flow_counts=2) + + +class _ConversionFailed(Exception): + pass + + +class _FailingFloat(np.float32): + # A NumPy floating scalar whose own conversion to a float fails. + def __float__(self): + raise _ConversionFailed("own float") + + +class _FailingIndex: + # An object whose own conversion to an index fails. + def __index__(self): + raise _ConversionFailed("own index") + + +class _BigInt(int): + pass + + +class _OwnFloat(int): + # An int subclass whose own __float__ gives 2.5, whatever its integer value. + def __float__(self): + return 2.5 + + +class _OverflowingFloat(np.float32): + # A NumPy floating scalar whose own __float__ raises OverflowError. + def __float__(self): + raise OverflowError("own conversion") + + +class _OverflowingIntFloat(int): + # An int subclass whose own __float__ raises OverflowError. + def __float__(self): + raise OverflowError("own conversion") + + +class _OverflowingIndex: + # An integer-like object whose own __index__ raises OverflowError. + def __index__(self): + raise OverflowError("own conversion") + + +def test_float_fields_hold_only_finite_floats(): + # Stretch's factor and DiminishingReturns' fraction are C++ doubles. An integer with no finite + # double (at either sign, as a Python int or through __index__) is outside the field's domain: + # ValueError naming the field. The last integer that rounds to the largest finite double is + # kept as that double; the next one rounds past it. + top = sys.float_info.max + last = 2**1024 - 2**970 - 1 + assert ngc.Stretch(last).factor == top + assert ngc.DiminishingReturns(1, -last).fraction == -top + + class Index: + def __index__(self): + return 10**400 + + too_large = "must be a number in the float range (got an integer beyond the largest finite float)" + for bad in (last + 1, -(last + 1), 10**400, Index()): + with pytest.raises(ValueError, match=exact("Stretch factor " + too_large)): + ngc.Stretch(bad) + with pytest.raises( + ValueError, match=exact("diminishing fraction " + too_large) + ): + ngc.DiminishingReturns(1, bad) + # So is an int subclass that keeps int's own conversion; one with its own __float__ is + # converted by that first, as float() does. + with pytest.raises(ValueError, match=exact("Stretch factor " + too_large)): + ngc.Stretch(_BigInt(10**400)) + assert ngc.Stretch(_OwnFloat(10**400)).factor == 2.5 + # Any other failure of the object's own conversion reaches the caller unchanged, an + # OverflowError raised by its own __float__ or __index__ too: no integer was returned. + with pytest.raises(_ConversionFailed): + ngc.Stretch(_FailingFloat(2.0)) + with pytest.raises(_ConversionFailed): + ngc.DiminishingReturns(1, _FailingFloat(0.5)) + for bad in (_OverflowingFloat(2.0), _OverflowingIndex(), _OverflowingIntFloat(2)): + with pytest.raises(OverflowError, match=exact("own conversion")): + ngc.Stretch(bad) + with pytest.raises(OverflowError, match=exact("own conversion")): + ngc.DiminishingReturns(1, bad) def test_validation_messages_before_binding(): g = diamond() fg = ngc.FlowLedger(g) - def rejects(cfg, msg, src=0, dst=3): - with pytest.raises(ValueError, match=msg): - ngc.FlowPolicy(fg, src, dst, cfg) + def rejects(cfg, msg, src=0): + with pytest.raises(ValueError, match=exact(msg)): + ngc.FlowPolicy(fg, src, 3, cfg) + stretch = "max_path_cost Stretch factor must be finite and in [1, inf) (got {})" + rejects( + config(ngc.CostOnly(), ngc.FlowPlacement.MAX_FLOW, ngc.Admission.LOSSY), + LOSSY_KERNEL, + ) + rejects(config(ngc.CapacityAware(), admission=ngc.Admission.LOSSY), LOSSY_ROUTING) + rejects(config(ngc.Global()), "Global routing requires placement = MaxFlow") + rejects( + config(ngc.CapacityAware(flow_count=0)), + "CapacityAware flow_count must be >= 1 (got 0)", + ) + rejects( + config(ngc.CapacityAware(flow_count=2, max_flow_count=1)), + "CapacityAware max_flow_count (1) must be >= flow_count (2)", + ) + rejects( + config(ngc.CapacityAware(max_path_cost=ngc.Stretch(0.5))), + stretch.format("0.500000"), + ) rejects( - config(ngc.CostOnly(), ngc.FlowPlacement.MAX_FLOW, ngc.Admission.LOSSY), "Lossy" + config(ngc.CapacityAware(max_path_cost=ngc.Stretch(math.nan))), + stretch.format("nan"), ) - rejects(config(ngc.CapacityAware(), admission=ngc.Admission.LOSSY), "Lossy") - rejects(config(ngc.Global()), "MaxFlow") - rejects(config(ngc.CapacityAware(flow_count=0)), "flow_count") - rejects(config(ngc.CapacityAware(flow_count=2, max_flow_count=1)), "max_flow_count") - rejects(config(ngc.CapacityAware(max_path_cost=ngc.Stretch(0.5))), "Stretch") - rejects(config(ngc.CapacityAware(max_path_cost=ngc.Stretch(math.nan))), "Stretch") rejects( config(ngc.CapacityAware(diminishing=ngc.DiminishingReturns(1, 1.0))), - "fraction", + "diminishing fraction must be in (0, 1) (got 1.000000)", ) - rejects(config(ngc.Pinned([])), "empty bundle list") - b = dag(g, ids(g, [0, 1])) - rejects(config(ngc.Pinned([b, b])), "duplicate bundle") - rejects(config(ngc.Pinned([dag(g, ids(g, [0, 3]))])), "malformed bundle") - rejects(config(ngc.Pinned([b])), "single endpoints", src=[0, 1]) - rejects(config(ngc.CostOnly()), "both endpoint sets", src=[0, 3]) - rejects(config(ngc.CostOnly()), "empty", src=[]) - rejects(config(ngc.CostOnly()), "out of node range", src=[L62]) - with pytest.raises(ValueError, match="foreign"): - ngc.FlowPolicy( - fg, 0, 3, config(ngc.CostOnly()), diamond().eligibility(excluded_edges=[0]) - ) - with pytest.raises(ValueError, match="foreign"): - ngc.FlowPolicy(fg, 0, 3, config(ngc.CostOnly()), None, ngc.DagCache(diamond())) + rejects(config(ngc.Pinned([])), "Pinned: an empty bundle list is rejected") + b = dag_of(g, ids(g, [0, 1])) + rejects( + config(ngc.Pinned([b, b])), + "Pinned: duplicate bundle 1 (equal to bundle 0 before pruning)", + ) + rejects( + config(ngc.Pinned([dag_of(g, ids(g, [0, 3]))])), + "Pinned: malformed bundle 0, no src -> dst walk (src 0, dst 3)", + ) + rejects( + config(ngc.Pinned([b])), + "Pinned routing requires single endpoints (bundles bind one source and one " + "destination)", + src=[0, 1], + ) + rejects( + COSTONLY, + "node 3 is in both endpoint sets: sources and destinations must not overlap", + src=[0, 3], + ) + rejects(COSTONLY, "sources: the node set is empty", src=[]) + rejects(COSTONLY, f"sources: node {L62} out of node range [0, 4)", src=[L62]) + with pytest.raises( + ValueError, match=exact("foreign Eligibility: built for another graph") + ): + ngc.FlowPolicy(fg, 0, 3, COSTONLY, diamond().eligibility(excluded_edges=[0])) + with pytest.raises( + ValueError, match=exact("foreign DagCache: bound to another graph") + ): + ngc.FlowPolicy(fg, 0, 3, COSTONLY, None, ngc.DagCache(diamond())) + # Arguments of the wrong kind: a ledger of None and non-integer node ids are ValueError; a + # ledger, config, elig or cache of the wrong class and an unknown keyword are TypeError. + with pytest.raises(ValueError, match=exact("ledger must be a FlowLedger")): + ngc.FlowPolicy(None, 0, 3, COSTONLY) + with pytest.raises( + ValueError, match=exact("sources[0] must be an integer (got float)") + ): + ngc.FlowPolicy(fg, [0.0], 3, COSTONLY) + with pytest.raises( + ValueError, match=exact("destinations must be a sequence of integers") + ): + ngc.FlowPolicy(fg, 0, 3.0, COSTONLY) + for wrong in ( + lambda: ngc.FlowPolicy(g, 0, 3, COSTONLY), + lambda: ngc.FlowPolicy(fg, 0, 3, ngc.CostOnly()), + lambda: ngc.FlowPolicy(fg, 0, 3, COSTONLY, ngc.DagCache(g)), + lambda: ngc.FlowPolicy(fg, 0, 3, COSTONLY, None, g.eligibility()), + lambda: ngc.FlowPolicy(fg, 0, 3, COSTONLY, cash=None), + ): + with pytest.raises(TypeError): + wrong() + fg.reset() # nothing bound + pol = ngc.FlowPolicy(fg, 0, 3, COSTONLY) + with pytest.raises( + TypeError, match=exact("outputs must be an OutputOptions (got CostOnly)") + ): + pol.place(1, ngc.CostOnly()) + assert pol.records() == [] + + +LOSSY_KERNEL = ( + "Lossy admission is rejected with the MaxFlow kernel: a controller never drops " + "(EqualBalanced or Weighted only)" +) +HEADROOM_KERNEL = ( + "the Weighted kernel is rejected with priority Headroom (weights are units)" +) +LOSSY_ROUTING = ( + "Lossy admission is rejected with Global and CapacityAware routing (hop-by-hop " + "forwarding without admission control neither grows nor reroutes)" +) +P = ngc.FlowPlacement +A = ngc.Admission + + +def zero_flow_count(): + return ngc.CapacityAware(flow_count=0) + + +@pytest.mark.parametrize( + ("routing", "placement", "admission", "priority", "msg"), + [ + (ngc.Global, P.MAX_FLOW, A.LOSSY, "CAPACITY", LOSSY_KERNEL), + (zero_flow_count, P.MAX_FLOW, A.LOSSY, "CAPACITY", LOSSY_KERNEL), + (ngc.Global, P.WEIGHTED, A.LOSSLESS, "HEADROOM", HEADROOM_KERNEL), + (zero_flow_count, P.WEIGHTED, A.LOSSY, "HEADROOM", HEADROOM_KERNEL), + (zero_flow_count, P.EQUAL_BALANCED, A.LOSSY, "CAPACITY", LOSSY_ROUTING), + (ngc.Global, P.WEIGHTED, A.LOSSY, "CAPACITY", LOSSY_ROUTING), + ], +) +def test_several_defects_report_the_first_in_the_contract_order( + routing, placement, admission, priority, msg +): + # Several defects at once: the kernel combinations (Lossy with MaxFlow, + # Weighted with Headroom) before the routing rules (Lossy with Global or CapacityAware, + # Global without MaxFlow, CapacityAware's counts); one exact ValueError text at + # construction and at the three evaluators (batch_capacity's precheck included); nothing is + # bound. + g = diamond() + fg = ngc.FlowLedger(g) + cfg = config( + routing(), placement, admission, sel(prio=getattr(ngc.EdgePriority, priority)) + ) + with pytest.raises(ValueError) as e: + ngc.FlowPolicy(fg, 0, 3, cfg) + assert str(e.value) == msg + with pytest.raises(ValueError) as e: + ngc.capacity(g, 0, 3, ngc.CapacityOptions(cfg)) + assert str(e.value) == msg + with pytest.raises(ValueError) as e: + ngc.batch_capacity(g, [(0, 3)], ngc.CapacityOptions(cfg)) + assert str(e.value) == msg + with pytest.raises(ValueError) as e: + ngc.sensitivity(g, 0, 3, ngc.SensitivityOptions(cfg), 1) + assert str(e.value) == msg fg.reset() # nothing bound def test_enum_values_outside_their_enumeration_are_rejected(): - # Rule 13: an enum built from an integer outside the enumeration is a domain error named + # An enum built from an integer outside the enumeration is a domain error named # by its field, at every constructor that takes it, so it never reaches a policy or record. with pytest.raises( ValueError, match="tie_break: 99 is not a value of EdgeTieBreak" @@ -181,6 +445,7 @@ def test_enum_values_outside_their_enumeration_are_rejected(): ValueError, match="admission: 99 is not a value of Admission" ): config(routing, ngc.FlowPlacement.MAX_FLOW, ngc.Admission(99)) + assert len(ngc.FlowPlacement.__members__) == 3 # the loop below is not empty for valid in ngc.FlowPlacement.__members__.values(): assert config(ngc.CostOnly(), valid).placement == valid @@ -188,7 +453,7 @@ def test_enum_values_outside_their_enumeration_are_rejected(): def test_placement_result_fields_and_outputs(): g = diamond() fg = ngc.FlowLedger(g) - pol = ngc.FlowPolicy(fg, [0], [3], config(ngc.CostOnly())) + pol = ngc.FlowPolicy(fg, [0], [3], COSTONLY) r = pol.place(4) assert (r.placed, r.remaining, r.termination) == (4, 0, T.COMPLETE) assert r.local_outcomes == [(0, T.COMPLETE)] @@ -200,9 +465,7 @@ def test_placement_result_fields_and_outputs(): and r.bottleneck is None and r.min_cut is None ) - r = pol.place( - INF, ngc.OutputOptions(edge_flows=True, residual=True, bottleneck=True) - ) + r = pol.place(INF, ALL_OUT) assert (r.placed, r.remaining, r.termination) == (3, INF, T.EXHAUSTED) assert r.edge_flows.dtype == np.int64 and r.residual.dtype == np.int64 assert list(r.residual) == list(fg.residual()) @@ -212,10 +475,27 @@ def test_placement_result_fields_and_outputs(): own[e] += x assert list(r.edge_flows) == own assert r.bottleneck == fg.bottleneck(0) + # By hand: the flow's 7 units split equally at node 0, the leftover unit to the lower + # EdgeId: 4 on 0 -> 1 -> 3 and 3 on 0 -> 2 -> 3, the most that keeps 0 -> 2 within its 3. + # Only 0 -> 2 is saturated where it leaves what the source still reaches. + assert r.edge_flows.tolist() == to_ids(g, [4, 4, 3, 3]) + assert r.residual.tolist() == to_ids(g, [1, 1, 0, 0]) + assert r.bottleneck == ids(g, [2]) assert r.min_cut is None # Global only assert pol.placed_demand() == 7 - with pytest.raises(ValueError, match="integer units or"): + with pytest.raises( + ValueError, + match=exact( + "requests are integer units or +inf (a physical request goes through " + "to_units first; got 1.5)" + ), + ): pol.place(1.5) + with pytest.raises(_ConversionFailed): # a float request whose own conversion fails + pol.place(_FailingFloat(1.0)) + for bad in (_OverflowingFloat(1.0), _OverflowingIndex()): # its OverflowError too + with pytest.raises(OverflowError, match=exact("own conversion")): + pol.place(bad) with pytest.raises(ValueError, match=r"after \+inf"): pol.place(np.int64(1)) pol.remove() @@ -230,19 +510,150 @@ def test_placement_result_fields_and_outputs(): assert [rec.delivered for rec in gl.records()] == [8] +def three_routes(a, b, c): + # Three disjoint routes 0 -> x -> 4 (input order): A through 1 of cost 1 + 1 = 2, B through 2 + # of cost 2 + 1 = 3, C through 3 of cost 2 + 2 = 4; capacities a, b, c on both edges. + return build( + 5, + [ + (0, 1, a, 1), + (1, 4, a, 1), + (0, 2, b, 2), + (2, 4, b, 1), + (0, 3, c, 2), + (3, 4, c, 2), + ], + ) + + +def routes_of(g, policy): + """Per record: (route cost, delivered, the bundle's input edges, units per input edge).""" + pos = g.input_index() + return [ + ( + r.route_cost, + r.delivered, + sorted(int(pos[e]) for e in r.bundle.via_edges()), + sorted((int(pos[e]), x) for e, x in r.edges), + ) + for r in policy.records() + ] + + +def gated(kernel, ceiling=None, floor=0): + return config( + ngc.CapacityAware(max_path_cost=ceiling, min_flow_bandwidth=floor), kernel + ) + + +# Each route of three_routes(2, 2, 2) carrying its 2 units, as routes_of reports it. +A2 = (2, 2, [0, 1], [(0, 2), (1, 2)]) +B2 = (3, 2, [2, 3], [(2, 2), (3, 2)]) +C2 = (4, 2, [4, 5], [(4, 2), (5, 2)]) +KERNELS = [ngc.FlowPlacement.MAX_FLOW, ngc.FlowPlacement.EQUAL_BALANCED] + + +@pytest.mark.parametrize("kernel", KERNELS) +@pytest.mark.parametrize( + "ceiling, placed, routes", + [ + (ngc.Absolute(3), 4, [A2, B2]), + (ngc.Stretch(1.5), 4, [A2, B2]), + (ngc.Absolute(4), 6, [A2, B2, C2]), + (ngc.Stretch(2.0), 6, [A2, B2, C2]), + (None, 6, [A2, B2, C2]), + (ngc.Absolute(1), 0, []), + ], +) +def test_path_cost_ceiling_excludes_a_costlier_route(kernel, ceiling, placed, routes): + # CapacityAwareGates.PathCostCeilingExcludesACostlierRoute through the binding, derived by + # hand on three_routes(2, 2, 2): A (cost 2) is created and filled to 2, + # growth adds B (cost 3; EqualBalanced: cohort [2, 2]), and C (cost 4) only when the + # inclusive ceiling admits it: Absolute(3) and Stretch(1.5) (1.5 * 2 = 3) exclude it + # (placed 4, exhausted), Absolute(4) and Stretch(2) admit it (placed 6). Absolute(1) admits + # no route: placed 0, no_route. + g = three_routes(2, 2, 2) + p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 4, gated(kernel, ceiling)) + r = p.place(10) + term = T.NO_ROUTE if placed == 0 else T.EXHAUSTED + assert (r.placed, r.remaining, r.termination) == (placed, 10 - placed, term) + assert r.local_outcomes == [(0, term)] + assert (r.routes_changed, r.weights_changed) == (bool(routes), False) + assert routes_of(g, p) == routes + + +@pytest.mark.parametrize("kernel", KERNELS) +@pytest.mark.parametrize("factor, placed, routes", [(1.5, 2, [B2]), (2.0, 4, [B2, C2])]) +def test_stretch_baseline_is_the_static_shortest_cost(kernel, factor, placed, routes): + # A third party holds both units of A: the static shortest cost stays 2 (the Stretch + # baseline ignores the residual), so Stretch(1.5) admits B (3) and not C (4): placed 2. A + # baseline on the residual (3) would admit C under 4.5. Stretch(2) admits C: placed 4. + g = three_routes(2, 2, 2) + ledger = ngc.FlowLedger(g) + third = ngc.FlowPolicy( + ledger, + 0, + 4, + config(ngc.Pinned([dag_of(g, ids(g, [0, 1]))]), ngc.FlowPlacement.MAX_FLOW), + ) + assert third.place(2).placed == 2 + p = ngc.FlowPolicy(ledger, 0, 4, gated(kernel, ngc.Stretch(factor))) + r = p.place(10) + assert (r.placed, r.termination) == (placed, T.EXHAUSTED) + assert routes_of(g, p) == routes + + +@pytest.mark.parametrize( + "kernel, floor, placed, routes", + [ + (ngc.FlowPlacement.MAX_FLOW, 3, 4, [(2, 4, [0, 1], [(0, 4), (1, 4)])]), + (ngc.FlowPlacement.MAX_FLOW, 2, 6, [(2, 4, [0, 1], [(0, 4), (1, 4)]), B2]), + (ngc.FlowPlacement.MAX_FLOW, 5, 0, []), + (ngc.FlowPlacement.EQUAL_BALANCED, 3, 4, [(2, 4, [0, 1], [(0, 4), (1, 4)])]), + ( + ngc.FlowPlacement.EQUAL_BALANCED, + 2, + 5, + [(2, 3, [0, 1], [(0, 3), (1, 3)]), B2], + ), + (ngc.FlowPlacement.EQUAL_BALANCED, 5, 0, []), + ], +) +def test_min_flow_bandwidth_stops_growth_below_the_floor(kernel, floor, placed, routes): + # CapacityAwareGates.MinFlowBandwidthStopsGrowthBelowTheFloor through the binding, derived + # by hand (every search gated at residual >= max(1, floor)) on three_routes(4, 2, 0): A of + # 4 units at cost 2, B of 2 at cost 3. Floor 3: A is filled to 4, B (residual 2) is below + # the floor, growth stops: placed 4. Floor 2: B is added: MaxFlow 4 + 2; EqualBalanced the + # cohort [3, 2] (round robin, the odd unit to the first flow; [3, 3] exceeds B), then A's + # residual 1 is below the floor: placed 5. Floor 5: no route at all, no_route. + g = three_routes(4, 2, 0) + p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 4, gated(kernel, floor=floor)) + r = p.place(10) + assert (r.placed, r.termination) == ( + placed, + T.NO_ROUTE if placed == 0 else T.EXHAUSTED, + ) + assert routes_of(g, p) == routes + + def test_lifetimes_keep_alive_and_orphans(): g = diamond() fg = ngc.FlowLedger(g) el = g.eligibility(excluded_edges=ids(g, [2])) cache = ngc.DagCache(g) - pol = ngc.FlowPolicy(fg, 0, 3, config(ngc.CostOnly()), el, cache) + pol = ngc.FlowPolicy(fg, 0, 3, COSTONLY, el, cache) + held = [weakref.ref(x) for x in (fg, el, cache)] del fg, el, cache gc.collect() + assert all(r() is not None for r in held) assert ( pol.place(10).placed == 5 ) # the ledger, the Eligibility and the cache are alive + del pol + gc.collect() + assert all(r() is None for r in held) # the policy alone held them fg2 = ngc.FlowLedger(g) - p = ngc.FlowPolicy(fg2, 0, 3, config(ngc.CostOnly())) + p = ngc.FlowPolicy(fg2, 0, 3, COSTONLY) p.place(2) del p gc.collect() @@ -250,7 +661,7 @@ def test_lifetimes_keep_alive_and_orphans(): assert fg2._state()["orphans"] == [0] assert fg2.records()[0].delivered == 2 with pytest.raises(ValueError, match="bound"): - q = ngc.FlowPolicy(fg2, 0, 3, config(ngc.CostOnly())) + q = ngc.FlowPolicy(fg2, 0, 3, COSTONLY) fg2.reset() del q gc.collect() @@ -258,10 +669,25 @@ def test_lifetimes_keep_alive_and_orphans(): assert fg2.records() == [] +@needs_hooks +def test_owner_hook_is_the_owner_of_the_records(): + # The private hook FlowPolicy._owner reads the ledger-local owner id: one per policy of a + # ledger, known before the policy has a record, and carried by its records as FlowRecord.owner. + g = diamond() + fg = ngc.FlowLedger(g) + policies = [ngc.FlowPolicy(fg, 0, 3, COSTONLY) for _ in range(3)] + owners = [p._owner() for p in policies] + assert len(set(owners)) == 3 + for p in reversed(policies): + assert p.place(1).placed == 1 + for p, owner in zip(policies, owners, strict=True): + assert [r.owner for r in p.records()] == [owner] + + def test_pinned_usable_bundles_and_records(): g = diamond() fg = ngc.FlowLedger(g) - r1, r2 = dag(g, ids(g, [0, 1])), dag(g, ids(g, [2, 3])) + r1, r2 = dag_of(g, ids(g, [0, 1])), dag_of(g, ids(g, [2, 3])) el = g.eligibility(excluded_edges=ids(g, [3])) pol = ngc.FlowPolicy(fg, 0, 3, config(ngc.Pinned([r1, r2])), el) assert pol.usable_bundles() == 1 @@ -269,16 +695,27 @@ def test_pinned_usable_bundles_and_records(): assert (r.placed, r.termination) == (5, T.EXHAUSTED) rec = pol.records()[0] assert rec.bundle == r1 and pol.record(rec.flow_id).delivered == 5 - # record() reads the policy's own records only (section 8: a policy's records). + # record() reads the policy's own records only, not another policy's on the same ledger. other = ngc.FlowPolicy(fg, 0, 3, config(ngc.Pinned([r1]))) other.place(1) - with pytest.raises(ValueError, match="not a record of this policy"): - pol.record(other.records()[0].flow_id) - assert fg.record(other.records()[0].flow_id).delivered == 0 - with pytest.raises(ValueError, match="another ledger"): - pol.record((ngc.FlowLedger(g).uid(), 0)) + theirs = other.records()[0].flow_id + with pytest.raises( + ValueError, match=exact(f"FlowId {theirs} is not a record of this policy") + ): + pol.record(theirs) + assert fg.record(theirs).delivered == 0 + elsewhere = ngc.FlowLedger(g).uid() + with pytest.raises( + ValueError, + match=exact( + f"FlowId ({elsewhere}, 0) belongs to another ledger (uid {fg.uid()})" + ), + ): + pol.record((elsewhere, 0)) pol.remove() - with pytest.raises(ValueError, match="retired or unknown"): + with pytest.raises( + ValueError, match=exact(f"FlowId {rec.flow_id} is retired or unknown") + ): pol.record(rec.flow_id) all_down = ngc.FlowPolicy( fg, 0, 3, config(ngc.Pinned([r2])), g.eligibility(excluded_edges=ids(g, [3])) @@ -292,7 +729,7 @@ def test_dag_cache_statistics_and_projection(): g = diamond() cache = ngc.DagCache(g) fg = ngc.FlowLedger(g) - a = ngc.FlowPolicy(fg, 0, 3, config(ngc.CostOnly()), None, cache) + a = ngc.FlowPolicy(fg, 0, 3, COSTONLY, None, cache) b = ngc.FlowPolicy( fg, 0, @@ -301,7 +738,7 @@ def test_dag_cache_statistics_and_projection(): ngc.CostOnly(), selection=sel( ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, - ngc.EdgePriority.RESIDUAL, + RES, False, False, ), @@ -335,6 +772,9 @@ def test_capacity_batch_and_workers(monkeypatch): g, pairs, ngc.CapacityOptions(GLOBAL, elig=common), per, workers ) assert [x.placed for x in got] == want + # workers=None reads NGRAPH_CORE_BATCH_THREADS. The count changes only how many threads run, + # never a result, so this checks only that the default path with the variable set gives the + # same results (its parsing: the C++ test Evaluators.DefaultWorkersParseTheEnvironment). monkeypatch.setenv("NGRAPH_CORE_BATCH_THREADS", "4") got = ngc.batch_capacity(g, pairs, ngc.CapacityOptions(GLOBAL, elig=common), per) assert [x.placed for x in got] == want @@ -343,14 +783,18 @@ def test_capacity_batch_and_workers(monkeypatch): ngc.batch_capacity( g, [(0, 3), (0, 7), (0, 8)], ngc.CapacityOptions(GLOBAL), workers=4 ) - with pytest.raises(ValueError, match="per_pair_elig has 1 entries"): + with pytest.raises( + ValueError, match=exact("per_pair_elig has 1 entries for 4 pairs") + ): ngc.batch_capacity(g, pairs, ngc.CapacityOptions(GLOBAL), [None]) with pytest.raises(ValueError, match="Pinned"): ngc.batch_capacity( - g, pairs, ngc.CapacityOptions(config(ngc.Pinned([dag(g, ids(g, [0, 1]))]))) + g, + pairs, + ngc.CapacityOptions(config(ngc.Pinned([dag_of(g, ids(g, [0, 1]))]))), ) cache = ngc.DagCache(g) - eb = ngc.CapacityOptions(config(ngc.CostOnly()), cache=cache) + eb = ngc.CapacityOptions(COSTONLY, cache=cache) with pytest.raises(ValueError, match="workers == 1"): ngc.batch_capacity(g, pairs, eb, workers=2) got = ngc.batch_capacity( @@ -361,93 +805,168 @@ def test_capacity_batch_and_workers(monkeypatch): ngc.batch_capacity(g, pairs, ngc.CapacityOptions(GLOBAL), workers=0) -def test_sensitivity_candidates_losses_and_unevaluable(): - # Global: an unsaturated critical edge appears (rule 1). +def test_sensitivity_candidates_and_signed_losses(monkeypatch): + # Global: an unsaturated critical edge appears. g = build(3, [(0, 1, 9, 1), (1, 2, 4, 1), (0, 2, 2, 5)]) s = ngc.sensitivity(g, 0, 2, ngc.SensitivityOptions(GLOBAL)) assert s.baseline.placed == 6 pos = g.input_index() assert {int(pos[e.edge]): e.loss for e in s.entries} == {0: 4, 1: 4, 2: 2} - assert all( - e.status == ngc.SensitivityStatus.EVALUATED and e.reason is None - for e in s.entries - ) + # workers=None reads NGRAPH_CORE_SENSITIVITY_THREADS: the same results on 3 workers (only that + # the default path with the variable set works; its parsing is tested in C++). + monkeypatch.setenv("NGRAPH_CORE_SENSITIVITY_THREADS", "3") + assert plain(ngc.sensitivity(g, 0, 2, ngc.SensitivityOptions(GLOBAL))) == plain(s) # A policy model: signed losses; zero-capacity edges absent. p = build(2, [(0, 1, 1, 1), (0, 1, 10, 1), (0, 1, 0, 1)]) - opts = ngc.SensitivityOptions(config(ngc.CostOnly())) + opts = ngc.SensitivityOptions(COSTONLY) s = ngc.sensitivity(p, 0, 1, opts, workers=2) assert s.baseline.placed == 2 pos = p.input_index() assert {int(pos[e.edge]): e.loss for e in s.entries} == {0: -8, 1: 1} with pytest.raises(ValueError, match="both endpoint sets"): ngc.sensitivity(p, 0, 0, opts) + # The baseline is capacity() with the requested outputs. + for cfg in (GLOBAL, COSTONLY): + s = ngc.sensitivity(g, 0, 2, ngc.SensitivityOptions(cfg, outputs=ALL_OUT)) + want = ngc.capacity(g, 0, 2, ngc.CapacityOptions(cfg, outputs=ALL_OUT)) + assert want.edge_flows is not None and want.residual is not None + assert plain(s.baseline) == plain(want) -@needs_hooks -def test_sensitivity_reports_a_model_exception_as_unevaluable(): - # No valid configuration raises under a deletion; the private hook injects one (rule 1). - p = build(2, [(0, 1, 1, 1), (0, 1, 10, 1), (0, 1, 0, 1)]) - opts = ngc.SensitivityOptions(config(ngc.CostOnly())) - ext._sensitivity_fail_edge(ids(p, [1])[0]) - try: - s = ngc.sensitivity(p, 0, 1, opts) - finally: - ext._sensitivity_fail_edge(None) - bad = [e for e in s.entries if e.status == ngc.SensitivityStatus.UNEVALUABLE] - assert len(bad) == 1 and bad[0].loss is None and "injected" in bad[0].reason - - -def _state_of(policy, ledger): - return ( - policy.placed_demand(), - len(ledger.records()), - policy._state()["requested"], - [int(x) for x in ledger.allocated()], +def test_evaluator_options_and_results(): + # The options hold what they were given (None: everything allowed, no supplied cache, no + # output); the results have no public constructor. + g = diamond() + el = g.eligibility(excluded_edges=ids(g, [0])) + cache = ngc.DagCache(g) + for cls in (ngc.CapacityOptions, ngc.SensitivityOptions): + o = cls(GLOBAL, elig=el, cache=cache, outputs=ngc.OutputOptions(residual=True)) + assert ( + o.config.placement == GLOBAL.placement and o.elig is el and o.cache is cache + ) + out = o.outputs + assert (out.edge_flows, out.residual, out.bottleneck) == (False, True, False) + d = cls(COSTONLY) + assert d.elig is None and d.cache is None + assert (d.outputs.edge_flows, d.outputs.residual, d.outputs.bottleneck) == ( + False, + False, + False, + ) + for cls in (ngc.SensitivityEntry, ngc.SensitivityResult): + with pytest.raises(TypeError, match="No constructor defined"): + cls() + + +def test_explicit_workers_win_over_the_environment(monkeypatch): + # The environment supplies only the default of workers=None, which is 1 whenever a cache is + # supplied; an explicit count is always honoured (a building cache accepts only 1). + monkeypatch.setenv("NGRAPH_CORE_BATCH_THREADS", "4") + monkeypatch.setenv("NGRAPH_CORE_SENSITIVITY_THREADS", "4") + g = diamond(5, 3) + building = ngc.DagCache(g) + bopts = ngc.CapacityOptions(COSTONLY, cache=building) + sopts = ngc.SensitivityOptions(COSTONLY, cache=building) + want = [r.placed for r in ngc.batch_capacity(g, [(0, 3), (1, 3)], bopts, workers=1)] + assert want == [7, 5] + assert [r.placed for r in ngc.batch_capacity(g, [(0, 3), (1, 3)], bopts)] == want + base = plain(ngc.sensitivity(g, 0, 3, sopts, workers=1)) + assert plain(ngc.sensitivity(g, 0, 3, sopts)) == base + for call in ( + lambda: ngc.batch_capacity(g, [(0, 3)], bopts, workers=2), + lambda: ngc.sensitivity(g, 0, 3, sopts, workers=2), + ): + with pytest.raises(ValueError, match="unless workers == 1"): + call() + with pytest.raises(ValueError, match=exact("workers must be >= 1 (got 0)")): + ngc.sensitivity(g, 0, 3, ngc.SensitivityOptions(GLOBAL), workers=0) + + +def test_python_keeps_what_a_policy_and_an_option_need_alive(): + # Once the caller drops them, the evaluators' options still apply their Eligibility and cache, + # the ledger still reads its graph, and a policy still places on its ledger. Graphs of the + # same shape are built in between, so the memory of a released value would be reused. + g = diamond() + want = [g.capacity_units().tolist(), g.cost().tolist(), g.edge_dst().tolist()] + ledger = ngc.FlowLedger(g) + policy = ngc.FlowPolicy(ledger, 0, 3, COSTONLY) + opts = ngc.CapacityOptions( + COSTONLY, elig=g.eligibility(excluded_edges=ids(g, [2])), cache=ngc.DagCache(g) ) + gc.collect() + reused = [diamond(7, 9, 2) for _ in range(64)] + assert ngc.capacity(g, 0, 3, opts).placed == 5 # without the edge 0 -> 2 + assert opts.cache.stats().misses == 1 # the call's lookup + del g, opts + gc.collect() + reused += [diamond(7, 9, 2) for _ in range(64)] + kept = ledger.graph() + assert [ + kept.capacity_units().tolist(), + kept.cost().tolist(), + kept.edge_dst().tolist(), + ] == want + del kept, ledger + gc.collect() + reused += [diamond(7, 9, 2) for _ in range(64)] + assert policy.place(10).placed == 7 # EqualBalanced over routes of 5 and 3: [4, 3] + assert len(reused) == 192 + + +def test_exception_classes_of_conversions(): + # An integer beyond the float range where a float is expected: the resolution (a plain float + # parameter) cannot be converted, a TypeError; a request (integer units) is outside its + # domain, a ValueError. A request's own conversion failure reaches the caller unchanged. + for call in ( + lambda: ngc.Graph(2, [0], [1], [5], [1], 10**400), + lambda: ngc.to_units(1.0, 10**400), + lambda: ngc.as_float(1, 10**400), + ): + with pytest.raises(TypeError, match="incompatible"): + call() + g = build(2, [(0, 1, 5, 1)]) + p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, COSTONLY) + for big in (10**400, -(10**400)): + with pytest.raises( + ValueError, + match=exact(f"request (units) = {big} is out of range [0, {L62 - 1}]"), + ): + p.place(big) + # An index's own failure (a float's: test_placement_result_fields_and_outputs). + with pytest.raises(_ConversionFailed): + p.place(_FailingIndex()) + assert p.placed_demand() == 0 @needs_hooks @pytest.mark.parametrize("routing", ["costonly", "global"]) @pytest.mark.parametrize("traced", [False, True]) def test_python_publication_is_all_or_nothing(routing, traced): - # review-1c F2: every Python object of a placement exists before anything is published, so - # the k-th Python allocation failing raises with the ledger and the policy unchanged, never - # crashes, and a retry places once. - cfg = GLOBAL if routing == "global" else config(ngc.CostOnly()) + # Every Python object of a placement exists before anything is published, so the k-th + # Python allocation failing raises with the ledger and the policy unchanged (an earlier + # call's flow in the same epoch included), never crashes, and a retry places as a call + # without failure does. + cfg = GLOBAL if routing == "global" else COSTONLY g = build(2, [(0, 1, 10, 1)]) - ledger = ngc.FlowLedger(g) - want = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg).place(3).cost_distribution - reached = 0 - for k in range(400): + + def make(): ledger = ngc.FlowLedger(g) policy = ngc.FlowPolicy(ledger, 0, 1, cfg) - fn = policy._place_traced if traced else policy.place - before = _state_of(policy, ledger) - hit, _, value, error = ext._fail_python_allocation(fn, (3,), k) - if not hit: - assert error is None - r = value[0] if traced else value - assert (r.placed, r.cost_distribution) == (3, want) - break - reached += 1 - if ( - error is None - ): # a failure inside Python that the call absorbed (none expected) - continue - assert isinstance(error, (MemoryError, RuntimeError)), repr(error) - assert _state_of(policy, ledger) == before - r = fn(3) - r = r[0] if traced else r - assert r.placed == 3 and policy.placed_demand() == 3 - else: - pytest.fail("the call never completed") - assert reached >= 3 # not vacuous + assert policy.place(1).placed == 1 + + def snapshot(): + return [full_ledger_state(ledger), repr(policy._state())] + + return (policy._place_traced if traced else policy.place), (3,), snapshot + + assert sweep_python_allocation(make) >= 3 # not vacuous @needs_hooks def test_evaluator_results_survive_python_allocation_failures(): # The evaluators publish nothing; their result objects are made through the checked path - # too, so a failed Python allocation raises instead of crashing. + # too, so a failed Python allocation raises instead of crashing, and the call that + # completes returns what a clean call returns. g = diamond(5, 3) calls = [ (ngc.capacity, (g, 0, 3, ngc.CapacityOptions(GLOBAL))), @@ -455,42 +974,48 @@ def test_evaluator_results_survive_python_allocation_failures(): (ngc.sensitivity, (g, 0, 3, ngc.SensitivityOptions(GLOBAL))), ] for fn, args in calls: - for k in range(400): - hit, _, _, error = ext._fail_python_allocation(fn, args, k) - if not hit: - assert error is None - break - assert error is None or isinstance(error, (MemoryError, RuntimeError)) - else: - pytest.fail(f"{fn.__name__} never completed") + # An evaluator keeps no state between calls: nothing to snapshot. + failures = sweep_python_allocation(lambda fn=fn, args=args: (fn, args, list)) + assert failures >= 3, fn.__name__ # not vacuous: every result object allocates def test_batch_reports_the_lowest_failing_pair(): - # review-1c F3: the arguments first, then each pair completely in pair order, across the + # The arguments first, then each pair completely in pair order, across the # Python/C++ boundary. g = build(2, [(0, 1, 3, 7)]) opts = ngc.CapacityOptions(GLOBAL) - with pytest.raises(ValueError, match="node 0 is in both endpoint sets"): + overlap = ( + "node 0 is in both endpoint sets: sources and destinations must not overlap" + ) + out_of_range = "sources: node 2 out of node range [0, 2)" + with pytest.raises(ValueError, match=exact(overlap)): ngc.batch_capacity(g, [(0, 0), (2, 1)], opts, workers=2) - with pytest.raises(ValueError, match="node 2 out of node range"): + with pytest.raises(ValueError, match=exact(out_of_range)): ngc.batch_capacity(g, [(0, 1), (2, 1), (0, 0)], opts) other = build(2, [(0, 1, 3, 7)]).eligibility() - with pytest.raises(ValueError, match=r"per_pair_elig\[0\]"): + with pytest.raises( + ValueError, + match=exact("foreign Eligibility: per_pair_elig[0] built for another graph"), + ): ngc.batch_capacity(g, [(0, 1), (2, 1)], opts, per_pair_elig=[other, None]) - with pytest.raises(TypeError, match="per_pair_elig entries"): + with pytest.raises( + TypeError, match=exact("per_pair_elig entries must be Eligibility or None") + ): ngc.batch_capacity(g, [(0, 1), (2, 1)], opts, per_pair_elig=[3, None]) - with pytest.raises(ValueError, match="node 2 out of node range"): + with pytest.raises(ValueError, match=exact(out_of_range)): ngc.batch_capacity(g, [(0, 1), (2, 1)], opts, per_pair_elig=[None, 3]) # An argument error comes before every pair error. - with pytest.raises(ValueError, match="workers"): + with pytest.raises(ValueError, match=exact("workers must be >= 1 (got 0)")): ngc.batch_capacity(g, [(0, 0)], opts, workers=0) def test_batch_checks_an_explicit_empty_eligibility_list(): - # review-1c F4: a given per_pair_elig has one entry per pair, also when it is empty. + # A given per_pair_elig has one entry per pair, also when it is empty. g = build(2, [(0, 1, 3, 7)]) opts = ngc.CapacityOptions(GLOBAL) - with pytest.raises(ValueError, match="per_pair_elig has 0 entries for 1 pairs"): + with pytest.raises( + ValueError, match=exact("per_pair_elig has 0 entries for 1 pairs") + ): ngc.batch_capacity(g, [(0, 1)], opts, per_pair_elig=[]) assert ngc.batch_capacity(g, [], opts, per_pair_elig=[]) == [] assert [ @@ -499,7 +1024,7 @@ def test_batch_checks_an_explicit_empty_eligibility_list(): def test_global_zero_call_reports_the_cumulative_curve(): - # review-1c F5: 9.1's curve is cumulative (its amounts sum to placed_demand()); a zero call + # Global's curve is cumulative (its amounts sum to placed_demand()); a zero call # reports it ([] before the first placement and after remove()), changes nothing and claims # no cut. g = build(2, [(0, 1, 3, 7)]) @@ -507,7 +1032,7 @@ def test_global_zero_call_reports_the_cumulative_curve(): p = ngc.FlowPolicy(ledger, 0, 1, GLOBAL) assert p.place(0).cost_distribution == [] assert p.place(2).cost_distribution == [(7, 2)] - z = p.place(0, ngc.OutputOptions(edge_flows=True, residual=True, bottleneck=True)) + z = p.place(0, ALL_OUT) assert (z.placed, z.cost_distribution, z.min_cut) == (0, [(7, 2)], None) assert p.placed_demand() == 2 and [int(x) for x in ledger.allocated()] == [2] p.remove() diff --git a/tests/py/test_flow_policy_fixtures.py b/tests/py/test_flow_policy_fixtures.py index e971418..ac32c14 100644 --- a/tests/py/test_flow_policy_fixtures.py +++ b/tests/py/test_flow_policy_fixtures.py @@ -1,30 +1,36 @@ -"""Prototype 2's 59 fixtures replayed through the bindings (APPROACH 8, 9). +"""The 59 fixtures of the independent reference replayed through the bindings (the ledger and +the policies). -``tests/data/policy_fixtures.json`` was exported from the reference, prototype 2 of the design -tree (its ``source`` names it; the design tree is untracked by design; its maintained exporter -is ``equivalence/export_policy_fixtures.py`` there): every ledger, policy -and call of every fixture in order, with the prototype's values after each operation. The +``tests/data/policy_fixtures.json`` was exported from the independent reference +(its frozen copy, the exporter, the regeneration check and the meaning of the data's historical +``source`` string: ``tests/reference/policy/README.md``): every ledger, policy and call of +every fixture in order, with the reference's values after each operation. The replay asserts every one of them on the build: each call's result (placed, remaining, termination, local outcomes, flags, drops, the cost curve and the requested outputs), its -trace (prototype 2's keys: offers, created, per source the creation reservations, reroute +trace (the reference's keys: offers, created, per source the creation reservations, reroute decisions, amounts and growth steps; Global's view, cap, flow-core payload and shares), the ledger after it (allocations, residuals, every record field, next FlowId, owners) and the policy state (roster, requested, +inf, placed demand, usable bundles, per source the flows' -ids, routes, T, deliveries, allocations, members and weights). An operation the prototype -rejects must raise here too (the messages differ). Normalised on both sides: the T_max probe +ids, routes, T, deliveries, allocations, members and weights). An operation the reference +rejects must raise here too (the messages differ), and a rejected placement leaves the policy's +state as it was. Normalised on both sides: the T_max probe counts, the flow core's operation counters and ledger uids. The replay reads the trace and sets the creation cap through the private hooks, so it is skipped without them. """ from __future__ import annotations +import copy import gc import json import math +import sys +import traceback from pathlib import Path import _netgraph_core as ext import pytest +from helpers import build, dag_of from private_hooks import needs_hooks import netgraph_core as ngc @@ -72,31 +78,25 @@ def norm(x): return x -def build_graph(spec): - edges = spec["edges"] - g = ngc.Graph( - spec["n"], - [e[0] for e in edges], - [e[1] for e in edges], - [e[2] for e in edges], - [e[3] for e in edges], - spec["q"], - ) - assert list(g.input_index()) == spec["input_index"] - return g +def exactly(a, b): + """Whether a and b are equal with the same type at every level: a dict has the same keys + and exactly equal values, a list the same length and exactly equal items, and every other + value the same type and value (so True differs from 1, and 1 from 1.0).""" + if type(a) is not type(b): + return False + if isinstance(a, dict): + return a.keys() == b.keys() and all(exactly(a[k], b[k]) for k in a) + if isinstance(a, (list, tuple)): + return len(a) == len(b) and all( + exactly(x, y) for x, y in zip(a, b, strict=True) + ) + return a == b -def dag_of(g, edges): - per = [[] for _ in range(g.num_nodes())] - for e in sorted(edges): - per[int(g.edge_dst()[e])].append(e) - offsets, parents, via = [0], [], [] - for v in range(g.num_nodes()): - for e in per[v]: - parents.append(int(g.edge_src()[e])) - via.append(e) - offsets.append(len(via)) - return ngc.PredDAG.from_csr(g, offsets, parents, via) +def build_graph(spec): + g = build(spec["n"], spec["edges"], spec["q"]) + assert exactly(g.input_index().tolist(), spec["input_index"]) + return g def config_of(g, c): @@ -222,35 +222,35 @@ def policy_json(pol): } -def replay(fx): +def replay(fx, at=None): + """Replays fx, asserting every expectation; `at`, when given, collects the index of each + operation as it starts (so a failure can be attributed to its operation).""" graphs = [build_graph(spec) for spec in fx["graphs"]] ledgers: dict[int, object] = {} policies: dict[int, object] = {} alive = [] - curves: dict[ - int, list - ] = {} # per policy: the cumulative Global curve of the epoch (F5) + curves: dict[int, list] = {} # per policy: the cumulative Global curve of the epoch for i, op in enumerate(fx["ops"]): + if at is not None: + at.append(i) where = f"{fx['name']} op {i} ({op['op']})" kind = op["op"] expect = op.get("expect", {}) if kind == "ledger": - g = graphs[op["graph"]] - if op["error"]: - with pytest.raises((ValueError, TypeError)): - ngc.FlowLedger(g, op["baseline"]) - continue - ledgers[op["id"]] = ngc.FlowLedger(g, op["baseline"]) + # The data holds no ledger the reference rejects: a data file with one fails here, + # rather than in a branch no fixture would reach. + assert not op["error"], where + ledgers[op["id"]] = ngc.FlowLedger(graphs[op["graph"]], op["baseline"]) continue if kind == "copy": src = ledgers[op["ledger"]] if op["error"]: with pytest.raises((ValueError, TypeError)): src.copy() - assert ledger_json(src) == expect["ledger"], where + assert exactly(ledger_json(src), expect["ledger"]), where continue ledgers[op["id"]] = src.copy() - assert ledger_json(ledgers[op["id"]]) == expect["ledger"], where + assert exactly(ledger_json(ledgers[op["id"]]), expect["ledger"]), where continue if kind == "reset": fg = ledgers[op["ledger"]] @@ -259,7 +259,7 @@ def replay(fx): fg.reset(op["baseline"]) else: fg.reset(op["baseline"]) - assert ledger_json(fg) == expect["ledger"], where + assert exactly(ledger_json(fg), expect["ledger"]), where continue if kind == "policy": fg = ledgers[op["ledger"]] @@ -283,14 +283,16 @@ def construct(op=op, fg=fg, g=g): alive.append(pol) policies[op["id"]] = (pol, fg) curves[op["id"]] = [] - assert policy_json(pol) == expect["policy"], where + assert exactly(policy_json(pol), expect["policy"]), where continue pol, fg = policies[op["policy"]] + # Neither a removal nor a destruction can fail, so the reference must accept both. + assert kind not in ("remove", "destroy") or not op["error"], where if kind == "remove": pol.remove() curves[op["policy"]] = [] - assert ledger_json(fg) == expect["ledger"], where - assert policy_json(pol) == expect["policy"], where + assert exactly(ledger_json(fg), expect["ledger"]), where + assert exactly(policy_json(pol), expect["policy"]), where continue if kind == "destroy": # The destruction law: dropping the last reference orphans the records. @@ -298,7 +300,7 @@ def construct(op=op, fg=fg, g=g): policies[op["policy"]] = None del pol gc.collect() - assert ledger_json(fg) == expect["ledger"], where + assert exactly(ledger_json(fg), expect["ledger"]), where continue assert kind == "place", where volume = math.inf if op["volume"] == "inf" else op["volume"] @@ -309,26 +311,31 @@ def construct(op=op, fg=fg, g=g): old = ext._max_flows_per_call(op["cap"]) try: if op["error"]: + before = policy_json(pol) with pytest.raises((ValueError, TypeError)): pol.place(volume, outputs) - assert ledger_json(fg) == expect["ledger"], where + assert exactly(ledger_json(fg), expect["ledger"]), where + # The reference records the ledger only; the policy's own state (requested, + # +inf, the flows) must be as before the call too. + assert exactly(policy_json(pol), before), where continue r, trace = pol._place_traced(volume, outputs) finally: ext._max_flows_per_call(old) got = result_json(r) if isinstance(pol.config.routing, ngc.Global): - # Contract over prototype (1c NOTES P3, review-1c F5): a Global zero call reports - # the cumulative curve (9.1), which prototype 2 omits; it must equal the curve of the + # Where the reference differs from the library: a Global zero call reports + # the cumulative curve, which the reference omits; it must equal the curve of the # epoch's last positive call ([] before any), and only then is it set aside. if volume == 0 and "cost_distribution" not in expect["result"]: - assert got.pop("cost_distribution") == curves[op["policy"]], where + curve = curves[op["policy"]] + assert exactly(got.pop("cost_distribution"), curve), where if "cost_distribution" in expect["result"]: curves[op["policy"]] = expect["result"]["cost_distribution"] - assert got == expect["result"], where - assert norm(trace) == expect["trace"], where - assert ledger_json(fg) == expect["ledger"], where - assert policy_json(pol) == expect["policy"], where + assert exactly(got, expect["result"]), where + assert exactly(norm(trace), expect["trace"]), where + assert exactly(ledger_json(fg), expect["ledger"]), where + assert exactly(policy_json(pol), expect["policy"]), where def test_the_data_holds_every_fixture(): @@ -340,3 +347,296 @@ def test_the_data_holds_every_fixture(): @pytest.mark.parametrize("fx", FIXTURES, ids=[fx["name"] for fx in FIXTURES]) def test_fixture(fx): replay(fx) + + +def _first_leaf(x): + """(container, key) of the first leaf of x in document order; None when x has none.""" + items = ( + x.items() + if isinstance(x, dict) + else enumerate(x) + if isinstance(x, list) + else () + ) + for k, v in items: + if not isinstance(v, (dict, list)): + return x, k + found = _first_leaf(v) + if found is not None: + return found + return None + + +def _corrupt(container, key): + """Changes one leaf: None becomes 0, a bool flips, a number grows by one, a string gains a + character.""" + v = container[key] + if v is None: + container[key] = 0 + elif isinstance(v, bool): + container[key] = not v + elif isinstance(v, (int, float)): + container[key] = v + 1 + else: + container[key] = v + "#" + + +def _failure(fx, at=None): + """Where the replay of fx fails: (the index of the operation being replayed, None before + the first; the failing source line), or None when the replay passes. `at`, when given, is + the list the replay appends each operation's index to (so a control can read it).""" + at = [] if at is None else at + try: + replay(fx, at) + except (AssertionError, ValueError, TypeError, pytest.fail.Exception) as e: + return (at[-1] if at else None), traceback.extract_tb(e.__traceback__)[-1].line + return None + + +@needs_hooks +@pytest.mark.parametrize("key", ["result", "trace", "ledger", "policy"]) +def test_a_corrupted_expectation_fails(key): + # The replay is not vacuous (the twin of PolicyFixtures.ACorruptedExpectationFails): in + # every fixture, the first integer of the expectation `key` of the first successful + # placement that has one is corrupted; the replay must fail at that operation, on that + # expectation's assertion. + corrupted = 0 + for fx in FIXTURES: + bad = copy.deepcopy(fx) + n = next( + ( + n + for n, o in enumerate(bad["ops"]) + if o["op"] == "place" + and not o["error"] + and _corrupt_first_int(o["expect"][key]) + ), + None, + ) + if n is None: + continue + index, line = _failure(bad) + assert index == n, fx["name"] + assert f'expect["{key}"]' in line, fx["name"] + corrupted += 1 + assert corrupted > 50 + + +def test_exactly_compares_types_at_every_level(): + assert exactly( + {"a": [1, [True, None]], "b": "x"}, {"a": [1, [True, None]], "b": "x"} + ) + for a, b in ( + (True, 1), + (1, 1.0), + (0, False), + ([1], (1,)), + ({"a": [1]}, {"a": [1.0]}), + ({"a": [[0]]}, {"a": [[False]]}), + ({"a": 1}, {"a": 1, "b": 1}), + ([1, 2], [1]), + ): + assert not exactly(a, b), (a, b) + assert not exactly(b, a), (b, a) + + +@needs_hooks +@pytest.mark.parametrize("change", ["integer as float", "bool as integer"]) +def test_an_expected_value_of_another_type_fails(change): + # The replay compares types too: in every fixture, the first successful placement's + # expected `placed` becomes the same number as a float, or its `routes_changed` the same + # truth value as an integer; the replay must fail at that operation, on the result. + changed = 0 + for fx in FIXTURES: + bad = copy.deepcopy(fx) + n = next( + ( + n + for n, o in enumerate(bad["ops"]) + if o["op"] == "place" and not o["error"] + ), + None, + ) + if n is None: + continue + result = bad["ops"][n]["expect"]["result"] + if change == "integer as float": + result["placed"] = float(result["placed"]) + else: + result["routes_changed"] = int(result["routes_changed"]) + assert result == fx["ops"][n]["expect"]["result"] # equal under == + index, line = _failure(bad) + assert index == n, fx["name"] + assert 'expect["result"]' in line, fx["name"] + changed += 1 + assert changed > 50 + + +@needs_hooks +def test_every_other_replay_clause_reports_its_operation(monkeypatch): + # The replay's other assertions, each failing at the operation it concerns (the twin of the + # other-clause controls inside PolicyFixtures.ACorruptedExpectationFails): the first leaf of every section + # of every other operation's expectations, the error flag of the first operation of every + # kind and outcome in each fixture, the input order of the first graph, an unknown + # operation, a policy changed by a call the data rejects, and the curve a Global zero call + # reports against the remembered one. + sections = set() + flags = set() + for fx in FIXTURES: + flipped = set() + for n, op in enumerate(fx["ops"]): + combination = f"{op['op']} {'failed' if op['error'] else 'ok'}" + if "expect" in op and (op["op"] != "place" or op["error"]): + for key in op["expect"]: + bad = copy.deepcopy(fx) + leaf = _first_leaf(bad["ops"][n]["expect"][key]) + assert leaf is not None, (fx["name"], n, key) + _corrupt(*leaf) + index, line = _failure(bad) + assert index == n, (fx["name"], n, key) + assert f'expect["{key}"]' in line, (fx["name"], n, key) + sections.add(f"{combination} {key}") + if combination not in flipped: + flipped.add(combination) + bad = copy.deepcopy(fx) + bad["ops"][n]["error"] = not op["error"] + failure = _failure(bad) + assert failure is not None and failure[0] == n, (fx["name"], n) + flags.add(combination) + bad = copy.deepcopy(fx) + _corrupt(bad["graphs"][0]["input_index"], 0) + assert _failure(bad) == ( + None, + 'assert exactly(g.input_index().tolist(), spec["input_index"])', + ) + assert sections == { + "copy failed ledger", + "destroy ok ledger", + "place failed ledger", + "policy ok policy", + "remove ok ledger", + "remove ok policy", + "reset failed ledger", + "reset ok ledger", + } + assert flags == { + "copy failed", + "destroy ok", + "ledger ok", + "place failed", + "place ok", + "policy failed", + "policy ok", + "remove ok", + "reset failed", + "reset ok", + } + # An unknown operation in place of op 3 of global_epochs (a placement). + epochs = next(fx for fx in FIXTURES if fx["name"] == "global_epochs") + renamed = copy.deepcopy(epochs) + renamed["ops"][3]["op"] = "move" + assert _failure(renamed) == (3, 'assert kind == "place", where') + # A copy of global_epochs' ledger 0 before op 1 binds a policy to it succeeds (the data holds + # only a failing copy). Flagged as failing, with the source's true state expected, it fails + # at that operation only because it must raise; flagged as succeeding with a wrong expected + # ledger, its comparison fails. + assert epochs["ops"][0]["op"] == "ledger" and epochs["ops"][1]["op"] == "policy" + fresh = ledger_json(ngc.FlowLedger(build_graph(epochs["graphs"][0]), None)) + for error, expected in ((True, fresh), (False, {})): + copied = copy.deepcopy(epochs) + copied["ops"].insert( + 1, + { + "op": "copy", + "ledger": 0, + "id": 1, + "error": error, + "expect": {"ledger": expected}, + }, + ) + failure = _failure(copied) + assert failure is not None and failure[0] == 1, (error, failure) + if not error: + assert ( + failure[1] + == 'assert exactly(ledger_json(ledgers[op["id"]]), expect["ledger"]), where' + ) + # Every call the data rejects, with the policy's +inf flag read flipped after that call only + # (the binding gives no way to change a policy's state directly, so its state read is + # changed): the comparison with the policy before the call must fail there. The ledger is + # left as it is, so the ledger comparison before it still passes. + place, read_state = ngc.FlowPolicy.place, ngc.FlowPolicy._state + at, changed, target = [], set(), None + + def rejected_then_changed(self, *args): + try: + return place(self, *args) + except (ValueError, TypeError): + if at[-1] == target: + changed.add(id(self)) + raise + + def changed_state(self): + st = read_state(self) + if id(self) in changed: + st["infinite"] = not st["infinite"] + return st + + monkeypatch.setattr(ngc.FlowPolicy, "place", rejected_then_changed) + monkeypatch.setattr(ngc.FlowPolicy, "_state", changed_state) + rejected_calls = 0 + for fx in FIXTURES: + for n, op in enumerate(fx["ops"]): + if op["op"] != "place" or not op["error"]: + continue + rejected_calls += 1 + at.clear() + changed.clear() + target = n + assert _failure(fx, at) == ( + n, + "assert exactly(policy_json(pol), before), where", + ), (fx["name"], n) + assert rejected_calls == 4 + monkeypatch.undo() + # Op 2 of global_epochs is a Global zero call on a fresh policy, op 3 a positive call with + # the curve [[1, 1]]. With op 3 moved before op 2, the zero call reports [[1, 1]], the + # remembered curve; a result that reports another cumulative curve must fail there. + assert epochs["ops"][2]["volume"] == 0 + swapped = copy.deepcopy(epochs) + swapped["ops"][2], swapped["ops"][3] = swapped["ops"][3], swapped["ops"][2] + zero_call = 'assert exactly(got.pop("cost_distribution"), curve), where' + # Unchanged, the replay passes the zero call's curve and fails only after it, at the ledger + # line of the same operation: its expected ledger is the one from before the positive call. + assert _failure(swapped) == ( + 3, + 'assert exactly(ledger_json(fg), expect["ledger"]), where', + ) + unshifted = result_json + + def shifted(r): + got = unshifted(r) + if got["placed"] == 0 and got.get("cost_distribution"): + got["cost_distribution"] = [[c + 1, u] for c, u in got["cost_distribution"]] + return got + + monkeypatch.setattr(sys.modules[__name__], "result_json", shifted) + assert _failure(swapped) == (3, zero_call) + + +def _corrupt_first_int(x): + """Adds 1 to the first integer (not a bool) of x in document order; whether one was found.""" + items = ( + x.items() + if isinstance(x, dict) + else enumerate(x) + if isinstance(x, list) + else () + ) + for k, v in items: + if isinstance(v, int) and not isinstance(v, bool): + x[k] = v + 1 + return True + if _corrupt_first_int(v): + return True + return False diff --git a/tests/py/test_graph.py b/tests/py/test_graph.py index faf9864..19e56b7 100644 --- a/tests/py/test_graph.py +++ b/tests/py/test_graph.py @@ -1,4 +1,4 @@ -"""Graph on integer units (APPROACH 3): construction, validation order, B' ids, +"""Graph on integer units (docs/semantics.md#2-the-graph): construction, validation order, EdgeIds, read-only views, Eligibility.""" from __future__ import annotations @@ -8,11 +8,10 @@ import numpy as np import pytest +from helpers import L62, build, by_input, exact import netgraph_core as ngc -L62 = 1 << 62 - # (u, v, capacity_units, cost) in input order. EDGES = [ (2, 0, 5, 3), @@ -25,18 +24,7 @@ ] -def build(n, edges, q=1.0): - return ngc.Graph( - n, - [e[0] for e in edges], - [e[1] for e in edges], - [e[2] for e in edges], - [e[3] for e in edges], - q, - ) - - -def test_bprime_ids_and_input_index(): +def test_edge_id_order_and_input_index(): g = build(3, EDGES) order = sorted( range(len(EDGES)), key=lambda i: (EDGES[i][0], EDGES[i][3], EDGES[i][1], i) @@ -62,39 +50,6 @@ def test_bprime_ids_and_input_index(): assert g.resolution() == 1.0 -def test_views_are_read_only_and_keep_the_graph_alive(): - g = build(3, EDGES) - views = [ - g.capacity_units(), - g.cost(), - g.edge_src(), - g.edge_dst(), - g.input_index(), - g.row_offsets(), - g.in_row_offsets(), - g.in_adj_edge_index(), - ] - dtypes = [ - np.int64, - np.int64, - np.int32, - np.int32, - np.int32, - np.int32, - np.int32, - np.int32, - ] - for view, dtype in zip(views, dtypes, strict=True): - assert view.dtype == dtype - assert not view.flags.writeable - with pytest.raises(ValueError): - view[0] = 0 - expect = [v.tolist() for v in views] - del g - gc.collect() - assert [v.tolist() for v in views] == expect - - def test_numpy_integer_inputs_and_exact_large_units(): big = (1 << 53) + 1 g = ngc.Graph( @@ -122,53 +77,141 @@ def test_uids_are_distinct(): assert a.uid() != b.uid() and a.uid() > 0 +def test_resolution_has_no_default(): + with pytest.raises(TypeError): + ngc.Graph(2, [0], [1], [1], [1]) + + @pytest.mark.parametrize( - "args, pattern", + "args, message", [ # The resolution. - ((2, [0], [1], [1], [1], 3.0), "resolution"), - ((2, [0], [1], [1], [1], 2.0**-33), "resolution"), - ((2, [0], [1], [1], [1], 0.0), "resolution"), - ((2, [0], [1], [1], [1], float("nan")), "resolution"), + ( + (2, [0], [1], [1], [1], 3.0), + "resolution must be a power of two in [2^-32, 2^32]", + ), + ( + (2, [0], [1], [1], [1], 2.0**-33), + "resolution must be a power of two in [2^-32, 2^32]", + ), + ( + (2, [0], [1], [1], [1], 0.0), + "resolution must be a power of two in [2^-32, 2^32]", + ), + ( + (2, [0], [1], [1], [1], float("nan")), + "resolution must be a power of two in [2^-32, 2^32]", + ), # The unit values. - ((2, [0], [1], [-1], [1], 1), "capacity_units"), - ((2, [0], [1], [L62], [1], 1), "capacity_units"), - ((2, [0], [1], [1.0], [1], 1), "capacity_units"), - ((2, [0], [1], np.array([1.5]), [1], 1), "capacity_units"), - ((2, [0], [1], [True], [1], 1), "capacity_units"), + ( + (2, [0], [1], [-1], [1], 1), + "capacity_units[0] = -1 is outside the units domain [0, 2^62)", + ), + ( + (2, [0], [1], [L62], [1], 1), + "capacity_units[0] = 4611686018427387904 is outside the units domain [0, 2^62)", + ), + ( + (2, [0], [1], [1.0], [1], 1), + "capacity_units[0] must be an integer (got float)", + ), + ( + (2, [0], [1], np.array([1.5]), [1], 1), + "capacity_units entries must be integers (got dtype float64)", + ), + ( + (2, [0], [1], [True], [1], 1), + "capacity_units[0] must be an integer (got bool)", + ), # The shapes. - ((-1, [], [], [], [], 1), "num_nodes"), - ((2.0, [0], [1], [1], [1], 1), "num_nodes"), - ((2, [0, 1], [1], [1], [1], 1), "same length"), - ((2, [0], [1], [1, 1], [1], 1), "same length"), - # Zero and negative costs (rule 28). - ((2, [0], [1], [1], [0], 1), "cost"), - ((2, [0], [1], [1], [-3], 1), "cost"), - ((2, [0], [1], [1], [1.5], 1), "cost"), + ((-1, [], [], [], [], 1), "num_nodes = -1 is out of range [0, 2147483647]"), + ((2.0, [0], [1], [1], [1], 1), "num_nodes must be an integer (got float)"), + ( + (2, [0, 1], [1], [1], [1], 1), + "src, dst, capacity_units and cost must have the same length (got 2, 1, 1, 1)", + ), + ( + (2, [0], [1], [1, 1], [1], 1), + "src, dst, capacity_units and cost must have the same length (got 1, 1, 2, 1)", + ), + # Zero, negative and non-integer costs. + ((2, [0], [1], [1], [0], 1), "cost[0] = 0: costs must be positive (cost >= 1)"), + ( + (2, [0], [1], [1], [-3], 1), + "cost[0] = -3: costs must be positive (cost >= 1)", + ), + ((2, [0], [1], [1], [1.5], 1), "cost[0] must be an integer (got float)"), # The remaining bounds. - ((2, [0], [2], [1], [1], 1), "out of node range"), - ((2, [0, 0], [1, 1], [L62 // 2, L62 // 2], [1, 1], 1), "sum of all capacities"), - ((2, [0, 0], [1, 1], [1, 1], [L62 // 2, L62 // 2], 1), "sum of all edge costs"), + ( + (2, [0], [2], [1], [1], 1), + "edge 0: endpoint (0, 2) out of node range [0, 2)", + ), + ( + (2, [0, 0], [1, 1], [L62 // 2, L62 // 2], [1, 1], 1), + "the sum of all capacities reaches the bound of the units domain (2^62 units)", + ), + ( + (2, [0, 0], [1, 1], [1, 1], [L62 // 2, L62 // 2], 1), + "the sum of all edge costs reaches the bound 2^62: path costs would overflow int64", + ), ], ) -def test_validation_errors(args, pattern): - with pytest.raises(ValueError, match=pattern): +def test_validation_errors(args, message): + with pytest.raises(ValueError, match=exact(message)): ngc.Graph(*args) def test_validation_order(): - # The unit values before the shapes, the shapes before the costs, the costs before the - # remaining bounds (endpoints and sums). - with pytest.raises(ValueError, match="capacity_units"): + # The unit values before the shapes (the length message names capacity_units too), the + # shapes before the costs, the costs before the remaining bounds (endpoints and sums). + with pytest.raises( + ValueError, + match=exact("capacity_units[0] = -1 is outside the units domain [0, 2^62)"), + ): ngc.Graph(2, [0, 1], [1], [-1], [1], 1) - with pytest.raises(ValueError, match="same length"): + with pytest.raises( + ValueError, + match=exact( + "src, dst, capacity_units and cost must have the same length (got 2, 1, 1, 1)" + ), + ): ngc.Graph(2, [0, 1], [1], [1], [0], 1) - with pytest.raises(ValueError, match="cost"): + with pytest.raises( + ValueError, match=exact("cost[0] = 0: costs must be positive (cost >= 1)") + ): ngc.Graph(2, [0], [9], [1], [0], 1) - with pytest.raises(ValueError, match="cost"): + with pytest.raises( + ValueError, match=exact("cost[0] = 0: costs must be positive (cost >= 1)") + ): ngc.Graph(2, [0, 0], [1, 1], [L62 // 2, L62 // 2], [0, 1], 1) - with pytest.raises(ValueError, match="node range"): + with pytest.raises( + ValueError, match=exact("edge 1: endpoint (5, 1) out of node range [0, 2)") + ): ngc.Graph(2, [0, 5], [1, 1], [L62 // 2, L62 // 2], [1, 1], 1) + # Within the shapes: num_nodes before the lengths. + with pytest.raises( + ValueError, match=exact("num_nodes = -1 is out of range [0, 2147483647]") + ): + ngc.Graph(-1, [0, 1], [1], [1], [0], 1) + # The sums run edge by edge in input order: the first edge at which a running sum reaches + # 2^62 reports that sum (here the cost sum at edge 1, the capacity sum only at edge 2), and + # at the same edge the capacity sum comes first. + with pytest.raises( + ValueError, + match=exact( + "the sum of all edge costs reaches the bound 2^62: path costs would overflow int64" + ), + ): + ngc.Graph( + 2, [0, 0, 0], [1, 1, 1], [1, L62 // 2, L62 // 2], [L62 // 2] * 2 + [1], 1 + ) + with pytest.raises( + ValueError, + match=exact( + "the sum of all capacities reaches the bound of the units domain (2^62 units)" + ), + ): + ngc.Graph(2, [0, 0], [1, 1], [L62 // 2] * 2, [L62 // 2] * 2, 1) def test_bounds_just_below_are_accepted(): @@ -187,71 +230,103 @@ def test_eligibility(): el = g.eligibility(excluded_nodes=[1, 1]) assert el.uid() not in (0, every.uid()) assert el.node_allowed().tolist() == [True, False, True, True] - allowed_in = [False] * 5 - for e, ok in enumerate(el.edge_allowed().tolist()): - allowed_in[int(g.input_index()[e])] = ok - assert allowed_in == [False, False, True, False, True] - assert not el.edge_allowed().flags.writeable + assert by_input(g, el.edge_allowed().tolist()) == [False, False, True, False, True] + # Both flag arrays are read-only boolean views. + for view in (el.node_allowed(), el.edge_allowed()): + assert view.dtype == np.bool_ + assert not view.flags.writeable + with pytest.raises(ValueError): + view[0] = True + # Built only by Graph.eligibility and Eligibility.intersect. + with pytest.raises(TypeError): + ngc.Eligibility() xe = g.eligibility(excluded_edges=np.array([4, 0, 4])) assert xe.edge_allowed().tolist() == [False, True, True, True, False] assert g.eligibility([], [0]).uid() != g.eligibility([], [0]).uid() - with pytest.raises(ValueError, match="range"): + with pytest.raises( + ValueError, match=exact("excluded node 4 out of node range [0, 4)") + ): g.eligibility(excluded_nodes=[4]) - with pytest.raises(ValueError, match="range"): + with pytest.raises( + ValueError, match=exact("excluded edge -1 out of edge range [0, 5)") + ): g.eligibility(excluded_edges=[-1]) - with pytest.raises(ValueError): + with pytest.raises( + ValueError, match=exact("excluded_edges[0] must be an integer (got float)") + ): g.eligibility(excluded_edges=[0.0]) -# review-1a D1: the binding validates in the contract's order on unnarrowed integers, so the +# The binding validates in the documented order on unnarrowed integers, so the # reported defect does not depend on how the same defective input is represented. @pytest.mark.parametrize( - "args, pattern", + "args, message", [ # A zero or negative cost comes before any remaining bound, even one that does not fit # the C++ type (endpoints beyond int32, a cost beyond int64). - ((2, [2**31], [1], [1], [0], 1.0), r"cost\[0\] = 0: costs must be positive"), - ((2, [-1], [1], [1], [0], 1.0), r"cost\[0\] = 0: costs must be positive"), - ((2, [0], [2**31], [1], [-1], 1.0), r"cost\[0\] = -1: costs must be positive"), + ( + (2, [2**31], [1], [1], [0], 1.0), + "cost[0] = 0: costs must be positive (cost >= 1)", + ), + ( + (2, [-1], [1], [1], [0], 1.0), + "cost[0] = 0: costs must be positive (cost >= 1)", + ), + ( + (2, [0], [2**31], [1], [-1], 1.0), + "cost[0] = -1: costs must be positive (cost >= 1)", + ), ( (2, [0], [-(2**70)], [1], [-(2**70)], 1.0), - r"cost\[0\] = -1180591620717411303424", + "cost[0] = -1180591620717411303424: costs must be positive (cost >= 1)", ), ( (2, [0, 0], [1, 1], [1, 1], [2**63, 0], 1.0), - r"cost\[1\] = 0: costs must be positive", + "cost[1] = 0: costs must be positive (cost >= 1)", ), # The unit values come before the costs, the resolution before everything. ( (2, [0], [1], [2**62], [0], 1.0), - r"capacity_units\[0\] = 4611686018427387904", + "capacity_units[0] = 4611686018427387904 is outside the units domain [0, 2^62)", ), ( (2, [0], [1], [2**64], [0], 1.0), - r"capacity_units\[0\] = 18446744073709551616", + "capacity_units[0] = 18446744073709551616 is outside the units domain [0, 2^62)", ), ( (2, [0], [1], [-(2**70)], [0], 1.0), - r"capacity_units\[0\] = -1180591620717411303424", + "capacity_units[0] = -1180591620717411303424 is outside the units domain [0, 2^62)", + ), + ( + (2, [0], [1], [-1], [0], 3.0), + "resolution must be a power of two in [2^-32, 2^32]", ), - ((2, [0], [1], [-1], [0], 3.0), "resolution"), # The remaining bounds name the exact value: ids, then the sums. ( (2, [2**40], [1], [1], [1], 1.0), - r"edge 0: endpoint \(1099511627776, 1\) out of node range", + "edge 0: endpoint (1099511627776, 1) out of node range [0, 2)", ), ( (2, [0], [-(2**70)], [1], [1], 1.0), - r"endpoint \(0, -1180591620717411303424\)", + "edge 0: endpoint (0, -1180591620717411303424) out of node range [0, 2)", + ), + ( + (2, [0], [1], [1], [2**63], 1.0), + "the sum of all edge costs reaches the bound 2^62: path costs would overflow int64", + ), + ( + (2, [0, 5], [1, 1], [1, 1], [2**64, 1], 1.0), + "edge 1: endpoint (5, 1) out of node range [0, 2)", ), - ((2, [0], [1], [1], [2**63], 1.0), "sum of all edge costs"), - ((2, [0, 5], [1, 1], [1, 1], [2**64, 1], 1.0), "out of node range"), # The shapes. - ((2**40, [], [], [], [], 1.0), "num_nodes"), + ( + (2**40, [], [], [], [], 1.0), + "num_nodes = 1099511627776 is out of range [0, 2147483647]", + ), ], ) -def test_validation_order_before_narrowing(args, pattern): - with pytest.raises(ValueError, match=pattern): +def test_validation_order_before_narrowing(args, message): + with pytest.raises(ValueError, match=exact(message)): ngc.Graph(*args) @@ -274,21 +349,29 @@ def test_validation_independent_of_representation(): assert ( messages[0] == messages[1] == "cost[0] = 0: costs must be positive (cost >= 1)" ) - with pytest.raises(ValueError, match=r"endpoint \(9223372036854775808, 1\)"): + with pytest.raises( + ValueError, + match=exact( + "edge 0: endpoint (9223372036854775808, 1) out of node range [0, 2)" + ), + ): ngc.Graph(2, np.array([2**63], dtype=np.uint64), [1], [1], [1], 1.0) def test_eligibility_ids_checked_before_narrowing(): g = build(3, EDGES) with pytest.raises( - ValueError, match=r"excluded node 1099511627776 out of node range \[0, 3\)" + ValueError, match=exact("excluded node 1099511627776 out of node range [0, 3)") ): g.eligibility(excluded_nodes=[2**40]) with pytest.raises( - ValueError, match=r"excluded edge -1180591620717411303424 out of edge range" + ValueError, + match=exact("excluded edge -1180591620717411303424 out of edge range [0, 7)"), ): g.eligibility(excluded_edges=[-(2**70)]) - with pytest.raises(ValueError, match="excluded node"): # nodes before edges + with pytest.raises( + ValueError, match=exact("excluded node 5 out of node range [0, 3)") + ): # nodes before edges g.eligibility(excluded_nodes=[5], excluded_edges=[2**70]) @@ -300,13 +383,13 @@ def test_eligibility_ids_checked_before_narrowing(): @pytest.mark.parametrize("ndim", [0, 2]) @pytest.mark.parametrize("cost", [0, -1]) def test_array_rank_is_a_shape_defect_before_costs(name, ndim, cost): - # review-1a-fixes D1: the shape step checks rank 1 for every array argument before the + # The shape step checks rank 1 for every array argument before the # cost step, so a 2-D or 0-D array is reported before a zero or negative cost. args = [2, [0], [1], [1], [cost], 1.0] value = cost if name == "cost" else VALID[name] bad = np.array(value, dtype=np.int64) args[ARG_INDEX[name]] = bad.reshape(1, 1) if ndim == 2 else bad - pattern = rf"^{name} must be a 1-D array \(got {ndim} dimensions\)$" + pattern = exact(f"{name} must be a 1-D array (got {ndim} dimensions)") with pytest.raises(ValueError, match=pattern): ngc.Graph(*args) @@ -317,36 +400,57 @@ def test_nested_and_scalar_arguments_are_shape_defects(name): nested = [2, [0], [1], [1], [0], 1.0] nested[ARG_INDEX[name]] = [[value]] with pytest.raises( - ValueError, match=rf"^{name} must be a 1-D sequence of integers \(entry 0" + ValueError, + match=exact( + f"{name} must be a 1-D sequence of integers (entry 0 is a sequence)" + ), ): ngc.Graph(*nested) scalar = [2, [0], [1], [1], [0], 1.0] scalar[ARG_INDEX[name]] = value with pytest.raises( - ValueError, match=rf"^{name} must be a 1-D sequence of integers \(got int\)$" + ValueError, match=exact(f"{name} must be a 1-D sequence of integers (got int)") ): ngc.Graph(*scalar) def test_shape_step_keeps_its_place_in_the_order(): # The resolution and the unit values still come before the shapes, whatever the shape. - with pytest.raises(ValueError, match="resolution"): + with pytest.raises( + ValueError, match=exact("resolution must be a power of two in [2^-32, 2^32]") + ): ngc.Graph(2, np.array([[0]]), [1], [1], [0], 3.0) with pytest.raises( - ValueError, match=r"capacity_units\[0\] = 4611686018427387904 is outside" + ValueError, + match=exact( + "capacity_units[0] = 4611686018427387904 is outside the units domain [0, 2^62)" + ), ): ngc.Graph(2, [0], [1], np.array([[2**62]], dtype=np.int64), [0], 1.0) - with pytest.raises(ValueError, match=r"capacity_units\[0\] = -1 is outside"): + with pytest.raises( + ValueError, + match=exact("capacity_units[0] = -1 is outside the units domain [0, 2^62)"), + ): ngc.Graph(2, [0], [1], np.array(-1, dtype=np.int64), [0], 1.0) - with pytest.raises(ValueError, match=r"capacity_units\[1\] = -5 is outside"): + with pytest.raises( + ValueError, + match=exact("capacity_units[1] = -5 is outside the units domain [0, 2^62)"), + ): ngc.Graph(2, [0], [1], [[1], -5], [0], 1.0) - with pytest.raises(ValueError, match=r"capacity_units = -5 is outside"): + with pytest.raises( + ValueError, + match=exact("capacity_units = -5 is outside the units domain [0, 2^62)"), + ): ngc.Graph(2, [0], [1], -5, [0], 1.0) # With valid values the misshapen capacity is a shape defect, before the costs. - with pytest.raises(ValueError, match="capacity_units must be a 1-D array"): + with pytest.raises( + ValueError, match=exact("capacity_units must be a 1-D array (got 2 dimensions)") + ): ngc.Graph(2, [0], [1], np.array([[1]]), [0], 1.0) # Rank before lengths. - with pytest.raises(ValueError, match="dst must be a 1-D array"): + with pytest.raises( + ValueError, match=exact("dst must be a 1-D array (got 2 dimensions)") + ): ngc.Graph(2, [0, 1], np.array([[1, 0]]), [1, 1], [1, 1], 1.0) # A valid graph from 1-D arrays of every integer kind still builds. g = ngc.Graph( @@ -393,11 +497,13 @@ def test_repeated_views_share_storage_and_refuse_write_access(): ) def test_every_view_keeps_its_graph_alive_and_refuses_write_access(n, edges): # An empty view has no bytes to share, so the owner is checked by identity and a weak - # reference rather than by np.shares_memory. + # reference rather than by np.shares_memory. The values stay readable after the caller + # drops the graph. for name, dtype in VIEW_DTYPES.items(): g = build(n, edges) ref = weakref.ref(g) view = getattr(g, name)() + values = view.tolist() assert view.base is g, name assert view.dtype == dtype, name assert not view.flags.writeable, name @@ -408,13 +514,14 @@ def test_every_view_keeps_its_graph_alive_and_refuses_write_access(n, edges): del g gc.collect() assert ref() is not None, name + assert view.tolist() == values, name del view gc.collect() assert ref() is None, name -def _reference_layout(n, src, dst, cap, cost): - # B' ids: (src, cost, dst, input); the reverse slots: (dst, cost, src, input). +def _reference_layout(n, src, dst, cost): + # EdgeIds: (src, cost, dst, input); the reverse slots: (dst, cost, src, input). i = np.arange(len(src)) order = np.lexsort((i, dst, cost, src)) pos = np.empty_like(order) @@ -428,8 +535,8 @@ def _reference_layout(n, src, dst, cap, cost): ["hash", "combined_keys", "all_cost_sort", "reversed", "edgeless"], ) def test_construction_orders_match_a_reference(shape): - # One input per construction path of APPROACH 3: distinct-cost hashing, the combined-key - # passes (N * K < E), the all-cost sort (K > 65,536), a reversed B' order, no edges. + # One input per construction path of the graph: distinct-cost hashing, the combined-key + # passes (N * K < E), the all-cost sort (K > 65,536), input in reversed EdgeId order, no edges. rng = np.random.default_rng(7) n, e = 300, 1000 # N * K = 1500 > E: the separate passes if shape == "combined_keys": @@ -445,10 +552,10 @@ def test_construction_orders_match_a_reference(shape): cost = rng.permutation(np.arange(1, e + 1)) cap = rng.integers(0, 1 << 40, e) if shape == "reversed": - order, _, _ = _reference_layout(n, src, dst, cap, cost) + order, _, _ = _reference_layout(n, src, dst, cost) src, dst, cap, cost = (a[order[::-1]] for a in (src, dst, cap, cost)) g = ngc.Graph(n, src, dst, cap, cost, 1) - order, row, rev = _reference_layout(n, src, dst, cap, cost) + order, row, rev = _reference_layout(n, src, dst, cost) assert g.input_index().tolist() == order.tolist() assert g.row_offsets().tolist() == row.tolist() assert g.in_adj_edge_index().tolist() == rev.tolist() diff --git a/tests/py/test_ksp.py b/tests/py/test_ksp.py index a67b215..fbd8b30 100644 --- a/tests/py/test_ksp.py +++ b/tests/py/test_ksp.py @@ -1,39 +1,24 @@ -"""KSP and resolve_to_paths through the binding (APPROACH 5, 6, rule 10): the order, Expand and -Collapse, the ceilings, k = 1 against the single path of spf, the validation order on -unnarrowed values, and the all-or-nothing construction of the result lists.""" +"""KSP and resolve_to_paths through the binding (docs/semantics.md#k-shortest-paths): the +order, Expand and Collapse, the ceilings, k = 1 against the single path of spf, the validation +order on unnarrowed values, and the all-or-nothing construction of the result lists.""" from __future__ import annotations -import _netgraph_core as ext import pytest +from helpers import CHAIN, DET, PREFER, build, exact, sel, sweep_python_allocation from private_hooks import needs_hooks import netgraph_core as ngc -DET = ngc.EdgeTieBreak.DETERMINISTIC -PREFER = ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY -CAP = ngc.EdgePriority.CAPACITY - def bgraph(n, rows): - """Rows (u, v, capacity, cost) in B' order (src, cost, dst): ids are input positions.""" - rows = sorted(rows, key=lambda r: (r[0], r[3], r[1])) - return ngc.Graph( - n, - [r[0] for r in rows], - [r[1] for r in rows], - [r[2] for r in rows], - [r[3] for r in rows], - 1.0, - ) + """A graph from rows (u, v, capacity, cost), sorted by (src, cost, dst) first: that is the + EdgeId order, so each EdgeId is the row's position in the sorted list.""" + return build(n, sorted(rows, key=lambda r: (r[0], r[3], r[1]))) def ksp(g, s, t, k, *, multi_edge=True, tie=DET, **kw): - sel = ngc.PathSelection(tie, CAP, multi_edge=multi_edge) - return ngc.ksp(g, s, t, ngc.KspOptions(k, sel, **kw)) - - -CHAIN = [(0, 1, 1, 1), (1, 2, 1, 1), (2, 3, 1, 1), (0, 2, 1, 3), (1, 3, 1, 3)] + return ngc.ksp(g, s, t, ngc.KspOptions(k, sel(tie, me=multi_edge), **kw)) def test_order_and_ceilings(): @@ -77,7 +62,7 @@ def test_expand_collapse_and_the_single_path(): ) for tie in (DET, PREFER): first = ksp(three, 0, 5, 1, tie=tie)[0][1] - single = ngc.PathSelection(tie, CAP, multipath=False) + single = sel(tie, mp=False) for direction, roots, targets in ( (ngc.Direction.FORWARD, 0, 5), (ngc.Direction.REVERSE, 5, 0), @@ -86,48 +71,99 @@ def test_expand_collapse_and_the_single_path(): three, roots, ngc.SpfOptions(direction, single, targets=targets) ) assert r.dag == first.to_dag() + # multipath is ignored: the same selection with multipath = False lists the same paths. + for g, t in ((pr, 2), (three, 5)): + for tie, me in ((DET, True), (PREFER, True), (DET, False)): + want = ngc.ksp(g, 0, t, ngc.KspOptions(8, sel(tie, me=me))) + assert want + assert ( + ngc.ksp(g, 0, t, ngc.KspOptions(8, sel(tie, mp=False, me=me))) == want + ) def test_ksp_validation_order(): + # The residual's own checks are the shared ones of test_edge_amounts.py. g = bgraph(3, [(0, 1, 1, 1), (1, 2, 1, 1)]) other = bgraph(3, [(0, 1, 1, 1)]) - with pytest.raises(ValueError, match=r"^src: node 3 out of node range \[0, 3\)$"): + with pytest.raises(ValueError, match=exact("src: node 3 out of node range [0, 3)")): ksp(g, 3, 1, 1) - with pytest.raises(ValueError, match=r"^dst: node -1 out of node range"): + with pytest.raises( + ValueError, match=exact("dst: node -1 out of node range [0, 3)") + ): ksp(g, 0, -1, 1) - with pytest.raises(ValueError, match=r"^dst: node 1180591620717411303424 out of"): + with pytest.raises( + ValueError, + match=exact("dst: node 1180591620717411303424 out of node range [0, 3)"), + ): ksp(g, 0, 2**70, 1) with pytest.raises( - ValueError, match="^node 1 is in both endpoint sets: src and dst" + ValueError, + match=exact("node 1 is in both endpoint sets: src and dst must not overlap"), ): ksp(g, 1, 1, 1) - with pytest.raises(ValueError, match=r"^k must be >= 1 \(got 0\)$"): + with pytest.raises(ValueError, match=exact("k must be >= 1 (got 0)")): ksp(g, 0, 2, 0) - with pytest.raises(ValueError, match="k must be an integer"): + with pytest.raises(ValueError, match=exact("k must be >= 1 (got -1)")): + ksp(g, 0, 2, -1) + with pytest.raises( + ValueError, match=exact("k must be >= 1 (got -1180591620717411303424)") + ): + ksp(g, 0, 2, -(2**70)) + with pytest.raises(ValueError, match=exact("k must be an integer (got float)")): ksp(g, 0, 2, 1.5) - with pytest.raises(ValueError, match="^max_path_cost Absolute cost must be >= 0"): + absolute = "max_path_cost Absolute cost must be >= 0 (got -1)" + stretch = "max_path_cost Stretch factor must be finite and in [1, inf) (got {})" + with pytest.raises(ValueError, match=exact(absolute)): ksp(g, 0, 2, 1, max_path_cost=ngc.Absolute(-1)) - with pytest.raises(ValueError, match="^max_path_cost Stretch factor"): + with pytest.raises(ValueError, match=exact(stretch.format("0.500000"))): ksp(g, 0, 2, 1, max_path_cost=ngc.Stretch(0.5)) - with pytest.raises(ValueError, match="^max_path_cost Stretch factor"): + with pytest.raises(ValueError, match=exact(stretch.format("nan"))): ksp(g, 0, 2, 1, max_path_cost=ngc.Stretch(float("nan"))) - with pytest.raises(TypeError, match="max_path_cost must be Absolute, Stretch"): + with pytest.raises( + TypeError, + match=exact("max_path_cost must be Absolute, Stretch or None (got int)"), + ): ksp(g, 0, 2, 1, max_path_cost=3) - with pytest.raises(ValueError, match=r"^residual\[1\] = 2 is outside"): - ksp(g, 0, 2, 1, residual=[1, 2]) - with pytest.raises(ValueError, match="^foreign Eligibility"): + with pytest.raises( + ValueError, match=exact("foreign Eligibility: built for another graph") + ): ksp(g, 0, 2, 1, elig=other.eligibility([], [0])) - # The order: the endpoints, k, the ceiling, the residual. - with pytest.raises(ValueError, match="both endpoint sets"): + # The order: the endpoints (src, dst, src == dst), k, the ceiling, the residual. + with pytest.raises(ValueError, match=exact("src: node 3 out of node range [0, 3)")): + ksp(g, 3, -1, 0, max_path_cost=ngc.Absolute(-1), residual=[9]) + with pytest.raises( + ValueError, match=exact("dst: node -1 out of node range [0, 3)") + ): + ksp(g, 0, -1, 0, max_path_cost=ngc.Absolute(-1), residual=[9]) + with pytest.raises( + ValueError, + match=exact("node 2 is in both endpoint sets: src and dst must not overlap"), + ): ksp(g, 2, 2, 0, max_path_cost=ngc.Absolute(-1), residual=[9]) - with pytest.raises(ValueError, match="^k must be"): + with pytest.raises(ValueError, match=exact("k must be >= 1 (got 0)")): ksp(g, 0, 2, 0, max_path_cost=ngc.Absolute(-1), residual=[9]) - with pytest.raises(ValueError, match="^max_path_cost"): + with pytest.raises(ValueError, match=exact(absolute)): ksp(g, 0, 2, 1, max_path_cost=ngc.Absolute(-1), residual=[9]) # A huge k lists every path (no error). assert len(ksp(g, 0, 2, 2**70)) == 1 - with pytest.raises(TypeError, match="KspOptions expected"): - ngc.ksp(g, 0, 2, ngc.PathSelection(DET, CAP)) + with pytest.raises( + TypeError, match=exact("KspOptions expected (got PathSelection)") + ): + ngc.ksp(g, 0, 2, sel()) + with pytest.raises(TypeError): + ngc.KspOptions(1) # k and selection are explicit + # KspOptions keeps its arguments as given (the same objects) and validates none of them: + # ksp does, at the call, in the order above. + k, ceiling, residual = 2**70, ngc.Absolute(-1), [9] + o = ngc.KspOptions(k, sel(mp=False), max_path_cost=ceiling, residual=residual) + assert o.k is k and o.max_path_cost is ceiling and o.residual is residual + assert o.selection == sel(mp=False) and o.elig is None + with pytest.raises( + ValueError, match=exact("max_path_cost Absolute cost must be >= 0 (got -1)") + ): + ngc.ksp(g, 0, 2, o) + with pytest.raises(ValueError, match=exact("k must be >= 1 (got 0)")): + ngc.ksp(g, 0, 2, ngc.KspOptions(0, sel(), max_path_cost=ceiling)) def test_resolve_to_paths(): @@ -154,45 +190,57 @@ def test_resolve_to_paths(): assert len(ngc.resolve_to_paths(g, dag, 0, 3, True, 2)) == 2 assert ngc.resolve_to_paths(g, dag, 3, 0) == [] other = bgraph(4, [(0, 1, 1, 1)]) - with pytest.raises(ValueError, match="^foreign PredDAG"): + foreign = "foreign PredDAG: built for another graph" + overlap = "node 2 is in both endpoint sets: src and dst must not overlap" + with pytest.raises(ValueError, match=exact(foreign)): ngc.resolve_to_paths(other, dag, 0, 3) - with pytest.raises(ValueError, match=r"^src: node 4 out of node range \[0, 4\)$"): + with pytest.raises(ValueError, match=exact("src: node 4 out of node range [0, 4)")): ngc.resolve_to_paths(g, dag, 4, 3) - with pytest.raises( - ValueError, match="^node 2 is in both endpoint sets: src and dst" - ): + with pytest.raises(ValueError, match=exact(overlap)): ngc.resolve_to_paths(g, dag, 2, 2) - with pytest.raises(ValueError, match=r"^max_paths must be >= 1 \(got 0\)$"): + with pytest.raises(ValueError, match=exact("max_paths must be >= 1 (got 0)")): ngc.resolve_to_paths(g, dag, 0, 3, False, 0) - # A search's DAG resolves the same way from a reverse search. - sel = ngc.PathSelection(DET, CAP) - fw = ngc.spf(g, 0, ngc.SpfOptions(ngc.Direction.FORWARD, sel)).dag - rv = ngc.spf(g, 3, ngc.SpfOptions(ngc.Direction.REVERSE, sel)).dag - assert ngc.resolve_to_paths(g, fw, 0, 3) == ngc.resolve_to_paths(g, rv, 0, 3) + with pytest.raises( + ValueError, match=exact("max_paths must be >= 1 (got -1180591620717411303424)") + ): + ngc.resolve_to_paths(g, dag, 0, 3, False, -(2**70)) + # A count above INT64_MAX lists every walk (no error). + assert len(ngc.resolve_to_paths(g, dag, 0, 3, True, 2**70)) == 4 + # Several defects: the DAG's graph, src, dst, src == dst, then max_paths. + with pytest.raises(ValueError, match=exact(foreign)): + ngc.resolve_to_paths(other, dag, 9, -9, False, 0) + with pytest.raises(ValueError, match=exact("src: node 9 out of node range [0, 4)")): + ngc.resolve_to_paths(g, dag, 9, -9, False, 0) + with pytest.raises( + ValueError, match=exact("dst: node -9 out of node range [0, 4)") + ): + ngc.resolve_to_paths(g, dag, 0, -9, False, 0) + with pytest.raises(ValueError, match=exact(overlap)): + ngc.resolve_to_paths(g, dag, 2, 2, False, 0) + # A search's DAG resolves the same way from a reverse search: the two cost-2 paths (the + # cost-5 edge is on no shortest path). + fw = ngc.spf(g, 0, ngc.SpfOptions(ngc.Direction.FORWARD, sel())).dag + rv = ngc.spf(g, 3, ngc.SpfOptions(ngc.Direction.REVERSE, sel())).dag + forward = ngc.resolve_to_paths(g, fw, 0, 3) + assert [(p.cost(), p.hops()) for p in forward] == [ + (2, [[0, 1], [4]]), + (2, [[2], [5]]), + ] + assert ngc.resolve_to_paths(g, rv, 0, 3) == forward @needs_hooks def test_python_result_lists_are_all_or_nothing(): + # Every Python object allocation of the call fails once: the call raises (never crashes) + # and a clean retry gives the same list. g = bgraph(4, CHAIN) - opts = ngc.KspOptions(8, ngc.PathSelection(DET, CAP)) - want = ngc.ksp(g, 0, 3, opts) - dag = ngc.spf( - g, 0, ngc.SpfOptions(ngc.Direction.FORWARD, ngc.PathSelection(DET, CAP)) - ).dag - want_paths = ngc.resolve_to_paths(g, dag, 0, 2, True) - for fn, args, check in ( - (ngc.ksp, (g, 0, 3, opts), lambda r: r == want), - (ngc.resolve_to_paths, (g, dag, 0, 2, True), lambda r: r == want_paths), + opts = ngc.KspOptions(8, sel()) + dag = ngc.spf(g, 0, ngc.SpfOptions(ngc.Direction.FORWARD, sel())).dag + for fn, args in ( + (ngc.ksp, (g, 0, 3, opts)), + (ngc.resolve_to_paths, (g, dag, 0, 2, True)), ): - failures = 0 - for k in range(200): - hit, _seen, result, error = ext._fail_python_allocation(fn, args, k) - if not hit: - assert check(result) - break - failures += 1 - assert result is None and isinstance(error, (MemoryError, RuntimeError)), ( - error - ) - assert check(fn(*args)) - assert failures >= 3 + failures = sweep_python_allocation( + lambda fn=fn, args=args: (fn, args, list), 200 + ) + assert failures >= 3, fn.__name__ diff --git a/tests/py/test_native_allocation.py b/tests/py/test_native_allocation.py new file mode 100644 index 0000000..7b617da --- /dev/null +++ b/tests/py/test_native_allocation.py @@ -0,0 +1,486 @@ +"""Native allocation failures in the staged result constructions and in FlowLedger.reset: the +k-th C++ allocation of spf, ksp, resolve_to_paths, of the calls whose result objects are made +before anything is published (place, capacity, batch_capacity, sensitivity) and of reset fails, +for every k in turn (the private hook _fail_native_allocation). Every reached failure +raises MemoryError, never aborts, leaves nothing it allocated behind and the observable state as +it was; the call that completes returns the value of a call without failure. + +Each sweep runs in a child interpreter, so a crash (a double free) fails its test instead of +the whole session: python -B test_native_allocation.py SCENARIO EXTENSION loads the parent's +extension file and prints one JSON row per attempt.""" + +from __future__ import annotations + +import gc +import importlib.util +import itertools +import json +import os +import subprocess +import sys + +if ( + __name__ == "__main__" +): # the child: the parent's extension, whatever the import path finds + _spec = importlib.util.spec_from_file_location("_netgraph_core", sys.argv[2]) + sys.modules["_netgraph_core"] = importlib.util.module_from_spec(_spec) + _spec.loader.exec_module(sys.modules["_netgraph_core"]) + +import _netgraph_core as ext +from helpers import ( + ALL_OUT, + COSTONLY, + GLOBAL, + build, + full_ledger_state, + plain, + sel, + stats_of, +) + +import netgraph_core as ngc + +EDGES = [ # (u, v, capacity units, cost): unequal costs, parallel members, several routes + (0, 1, 5, 1), + (1, 3, 5, 1), + (0, 2, 3, 2), + (2, 3, 3, 2), + (1, 2, 2, 1), + (0, 1, 2, 1), + (3, 4, 9, 1), + (2, 4, 2, 4), +] + + +def graph(): + return build(5, EDGES) + + +def caps(g): + return [int(c) for c in g.capacity_units()] + + +def epoch_state(policy): + """The policy's epoch (the requested total, the +inf flag, its flows), with each FlowId's + local id only (the ledger uid differs between the scenario's fresh ledgers).""" + state = policy._state() + for flows in state["cohorts"].values(): + for flow in flows: + flow["flow_id"] = flow["flow_id"][1] + return state + + +# A scenario makes fresh state and returns (fn, args, snapshot): snapshot() is the observable +# state a failed call must leave as it was. +def stateless(call): + def make(): + g = graph() + fn, args = call(g) + return fn, args, lambda: [caps(g), g.cost().tolist()] + + return make + + +def placement(cfg, traced): + def make(): + g = graph() + ledger = ngc.FlowLedger(g) + policy = ngc.FlowPolicy(ledger, 0, 4, cfg) + policy.place( + 2 + ) # an earlier call's flows in the same epoch: a failed call keeps them + + def snap(): + records = [(r.flow_id[1], r.delivered) for r in policy.records()] + return [ + full_ledger_state(ledger), + policy.placed_demand(), + records, + epoch_state(policy), + ] + + return (policy._place_traced if traced else policy.place), (6, ALL_OUT), snap + + return make + + +def frozen_cache_capacity(): + g = graph() + cache = ngc.DagCache(g) + ngc.capacity(g, 0, 4, ngc.CapacityOptions(COSTONLY, cache=cache)) + cache.freeze() + opts = ngc.CapacityOptions(COSTONLY, cache=cache, outputs=ALL_OUT) + return ngc.capacity, (g, 0, 4, opts), lambda: stats_of(cache) + + +def with_orphan(call): + """A ledger holding an orphaned record (its policy destroyed without remove()); call(ledger) + gives (fn, args), and the snapshot is the ledger's state.""" + + def make(): + g = graph() + ledger = ngc.FlowLedger(g) + ngc.FlowPolicy(ledger, 0, 4, COSTONLY).place(2) + gc.collect() # the policy is gone: its record is an orphan + fn, args = call(ledger) + return fn, args, lambda: full_ledger_state(ledger) + + return make + + +def half(g): + return [c // 2 for c in caps(g)] + + +def spf_opts(direction=ngc.Direction.FORWARD, multipath=True, **kw): + return ngc.SpfOptions(direction, sel(mp=multipath), **kw) + + +SCENARIOS = { + "spf.full": stateless(lambda g: (ngc.spf, (g, 0, spf_opts()))), + "spf.targets_residual": stateless( + lambda g: ( + ngc.spf, + (g, [0, 1], spf_opts(ngc.Direction.REVERSE, targets=[4], residual=caps(g))), + ) + ), + "spf.single_path": stateless( + lambda g: (ngc.spf, (g, 0, spf_opts(multipath=False, targets=4))) + ), + "ksp": stateless( + lambda g: (ngc.ksp, (g, 0, 4, ngc.KspOptions(4, sel(), residual=caps(g)))) + ), + "FlowLedger.reset": with_orphan(lambda fg: (fg.reset, (half(fg.graph()),))), + "resolve_to_paths": stateless( + lambda g: (ngc.resolve_to_paths, (g, ngc.spf(g, 0, spf_opts()).dag, 0, 4, True)) + ), + "place.costonly": placement(COSTONLY, traced=False), + "place.global": placement(GLOBAL, traced=False), + "place_traced.global": placement(GLOBAL, traced=True), + "capacity.global": stateless( + lambda g: ( + ngc.capacity, + (g, 0, 4, ngc.CapacityOptions(GLOBAL, outputs=ALL_OUT)), + ) + ), + "capacity.frozen_cache": frozen_cache_capacity, + "batch_capacity.global": stateless( + lambda g: ( + ngc.batch_capacity, + (g, [(0, 4), (1, 3)], ngc.CapacityOptions(GLOBAL), None, 1), + ) + ), + "sensitivity.global": stateless( + lambda g: (ngc.sensitivity, (g, 0, 4, ngc.SensitivityOptions(GLOBAL), 1)) + ), +} + + +def absorbing(g): + """A wrong call for the row checks' controls: it absorbs the injected failure.""" + + def absorbs(o): + try: + return ngc.spf(g, 0, o) + except MemoryError: + return "absorbed" + + return absorbs, (spf_opts(),) + + +def changing(): + """A wrong call for the row checks' controls: it changes the observable state before the + failure reaches it.""" + g = graph() + log = [] + + def changes(o): + log.append(None) + return ngc.spf(g, 0, o) + + return changes, (spf_opts(),), lambda: len(log) + + +def leaking(): + """A wrong call for the row checks' controls: it keeps a result it made before the failure + reaches it (outside the snapshot), so that result's native allocations stay live.""" + g = graph() + kept = [] + + def leaks(o): + kept.append(ngc.spf(g, 0, o)) + return ngc.spf(g, 0, o) + + return leaks, (spf_opts(),), lambda: [caps(g), g.cost().tolist()] + + +def replacing(g): + """A wrong call for the row checks' controls: it raises another exception in place of the + injected failure.""" + + def replaces(o): + try: + return ngc.spf(g, 0, o) + except MemoryError: + raise LookupError("replaced") from None + + return replaces, (spf_opts(),) + + +def exiting(status, after): + """Wrong calls for the row checks' controls: the process ends with `status` when the failure + of an attempt after the first `after` reaches the call (a crash, or an exit with status 0).""" + + def make(): + m = next(MADE) # 0: the reference call + g = graph() + + def exits(o): + try: + return ngc.spf(g, 0, o) + except MemoryError: + if m > after: + os._exit(status) + raise + + return exits, (spf_opts(),), lambda: [caps(g), g.cost().tolist()] + + return make + + +def walks(): + """A call for the row checks' controls that needs more attempts than the sweep makes: the + walks of ten diamonds in a row (1,024 walks, far more than 5,000 native allocations).""" + edges = [] + for i in range(10): + a = 3 * i + edges += [ + (a, a + 1, 1, 1), + (a, a + 2, 1, 1), + (a + 1, a + 3, 1, 1), + (a + 2, a + 3, 1, 1), + ] + g = build(31, edges) + dag = ngc.spf(g, 0, spf_opts()).dag + return ( + ngc.resolve_to_paths, + (g, dag, 0, 30, True), + lambda: [caps(g), g.cost().tolist()], + ) + + +def by_turn(call): + """A wrong call for the row checks' controls whose completing call differs from the + reference: call(m, g) gives the call of the m-th make() (m = 0: the reference call).""" + + def make(): + g = graph() + return call(next(MADE), g), (spf_opts(),), lambda: [caps(g), g.cost().tolist()] + + return make + + +def raises_after(m, g): + """The completing call raises after its result (the reference call returns it).""" + + def raises(o): + result = ngc.spf(g, 0, o) + if m: + raise LookupError("after its result") + return result + + return raises + + +def appending(): + """A wrong call for the row checks' controls: the completing call adds two entries to the + observable log where the reference call added one.""" + m = next(MADE) + g = graph() + log = [] + + def appends(o): + result = ngc.spf(g, 0, o) + log.extend([None] * (2 if m else 1)) + return result + + return appends, (spf_opts(),), lambda: len(log) + + +def prebuilt(m, g): + """After ten failures the call returns a result built beforehand: it completes with no native + allocation, fewer than the failures before it.""" + built = ngc.spf(g, 0, spf_opts()) + + def call(o): + return built if m > 10 else ngc.spf(g, 0, o) + + return call + + +def discarding(g): + """A wrong call for the row checks' controls: it drops its result and returns a plain value, + so the completing call holds no native allocation.""" + + def discards(o): + ngc.spf(g, 0, o) + return 7 + + return discards, (spf_opts(),) + + +MADE = itertools.count() # make() calls of a control in the child (each child runs one) + +# Wrong calls that the row checks must reject (run by the controls, not by the sweep test), one +# per check. Their options are made before the call: a bound object constructed inside it would +# meet the failure in its constructor. +CONTROLS = { + "control.absorbs": stateless(absorbing), + "control.replaces": stateless(replacing), + "control.leaks": leaking, + "control.changes_state": changing, + "control.crashes": exiting(3, 0), + "control.never_completes": walks, + "control.exits": exiting(0, 1), + # reset under the floor of ten (its own scenario has a floor of its own, FEW) + "control.few": with_orphan(lambda fg: (fg.reset, (half(fg.graph()),))), + "control.raises_when_done": by_turn(raises_after), + "control.other_value": by_turn(lambda m, g: lambda o: ngc.spf(g, 1 if m else 0, o)), + "control.other_state": appending, + "control.fewer_allocations": by_turn(prebuilt), + "control.discards": stateless(discarding), +} + + +def sweep(name: str) -> None: + """Attempts k = 0, 1, ... of one scenario until a call completes without reaching k; one + ROW line per attempt, written before the next attempt starts.""" + make = {**SCENARIOS, **CONTROLS}[name] + fn, args, snap = make() + reference = plain(fn(*args)) # also the warm-up of lazily sized scratch + reference_after = snap() + gc.collect() + gc.disable() # no unrelated object is released inside an attempt + for k in range(5000): + fn, args, snap = make() + before = snap() + print(f"START {k}", flush=True) + hit, seen, value, error, live = ext._fail_native_allocation(fn, args, k) + row = {"k": k, "hit": hit, "seen": seen, "live": live} + row["error"] = None if error is None else f"{type(error).__name__}: {error}" + if error is None: + row["returns"] = value is not None + row["value_ok"] = plain(value) == reference + row["state_ok"] = snap() == reference_after + else: + row["state_ok"] = snap() == before + del value, error + print("ROW " + json.dumps(row), flush=True) + if not hit: + return + print("ROW " + json.dumps({"k": None}), flush=True) + + +def run_child(name): + proc = subprocess.run( + [sys.executable, "-B", __file__, name, ext.__file__], + capture_output=True, + text=True, + timeout=600, + ) + rows, started = [], None + for line in proc.stdout.splitlines(): + if line.startswith("START "): + started = int(line[6:]) + elif line.startswith("ROW "): + rows.append(json.loads(line[4:])) + return proc, rows, started + + +if __name__ != "__main__": + import traceback + + import pytest + from private_hooks import needs_hooks + + # The scenarios with fewer than ten native allocations, and at least how many they make: + # reset converts the residual from Python, then builds the new baseline. + FEW = {"FlowLedger.reset": 3} + + def check(name, proc, rows, started): + """The checks of one scenario's rows.""" + failed = [r for r in rows if r["k"] is not None and r["hit"]] + for row in failed: + # A reached failure propagates as MemoryError (a call that raised returns no value): + # nothing absorbs it, nothing it allocated stays allocated, and the state is as + # before the call. + assert row["error"] is not None, row + assert row["error"].startswith("MemoryError"), row + assert row["live"] == 0, row + assert row["state_ok"], row + assert proc.returncode == 0, ( + f"{name}: the child died (rc {proc.returncode}) in attempt {started}\n" + f"{proc.stderr[-2000:]}" + ) + assert rows and rows[-1]["k"] is not None, f"{name}: the call never completed" + # The child stops after the first call that completes: every earlier row is a reached + # failure (a child that ended early with status 0 leaves a failure last). + assert len(failed) == len(rows) - 1, f"{name}: {len(failed)} attempts" + assert len(failed) >= FEW.get(name, 10), f"{name}: {len(failed)} attempts" + done = rows[-1] + assert done["error"] is None, done + assert done["value_ok"], done + assert done["state_ok"], done + assert done["seen"] == len(failed), done + if done["returns"]: + # The probe counts what the result object holds. + assert done["live"] > 0, done + + @needs_hooks + @pytest.mark.parametrize("name", list(SCENARIOS)) + def test_native_allocation_failure_raises_and_changes_nothing(name): + check(name, *run_child(name)) + + @needs_hooks + def test_the_row_checks_reject_a_wrong_call(): + # Each row check rejects its wrong call: one that absorbs the injected failure, raises + # another exception in its place, keeps native allocations live past it or changes the + # observable state before it; one that crashes the child, needs more attempts than the + # sweep makes, or ends the child with status 0 after a failure; one with fewer + # allocations than the floor; and one whose completing call raises, returns another + # value, leaves another state, makes fewer allocations than failed before it, or returns + # a value that holds no native allocation. + attempts = ( + 'assert len(failed) == len(rows) - 1, f"{name}: {len(failed)} attempts"' + ) + for name, clause in ( + ("control.absorbs", 'assert row["error"] is not None, row'), + ("control.replaces", 'assert row["error"].startswith("MemoryError"), row'), + ("control.leaks", 'assert row["live"] == 0, row'), + ("control.changes_state", 'assert row["state_ok"], row'), + ("control.crashes", "assert proc.returncode == 0, ("), + ( + "control.never_completes", + 'assert rows and rows[-1]["k"] is not None, f"{name}: the call never completed"', + ), + ("control.exits", attempts), + ( + "control.few", + 'assert len(failed) >= FEW.get(name, 10), f"{name}: {len(failed)} attempts"', + ), + ("control.raises_when_done", 'assert done["error"] is None, done'), + ("control.other_value", 'assert done["value_ok"], done'), + ("control.other_state", 'assert done["state_ok"], done'), + ("control.fewer_allocations", 'assert done["seen"] == len(failed), done'), + ("control.discards", 'assert done["live"] > 0, done'), + ): + with pytest.raises(AssertionError) as info: + check(name, *run_child(name)) + assert traceback.extract_tb(info.tb)[-1].line == clause, name + +else: + if ngc.spf is not ext.spf: # the package binds to the loaded extension + sys.exit("netgraph_core does not use the extension the parent passed") + if not hasattr(ext, "_fail_native_allocation"): + sys.exit("the extension lacks the private hooks") + sweep(sys.argv[1]) diff --git a/tests/py/test_public_surface.py b/tests/py/test_public_surface.py index 45fb68a..f7eb706 100644 --- a/tests/py/test_public_surface.py +++ b/tests/py/test_public_surface.py @@ -1,11 +1,16 @@ """The public surface: the graph on units, Eligibility, the conversions, the route structures, the selection and placement axes, the ledger, the policy engine, the DagCache, the evaluators and the public search; the extension's private entry, which netgraph_core never re-exports; -the spellings the interface grooming retired and the retired search entry points (APPROACH 12), -which exist nowhere, without aliases.""" +the retired spellings and the retired search entry points, which exist nowhere, without +aliases; and the argument checks of the bindings, each with its exception class and whole +message.""" + +from types import SimpleNamespace import _netgraph_core +import numpy as np import pytest +from helpers import RES, config, exact, sel from private_hooks import HOOKS import netgraph_core as ngc @@ -42,7 +47,6 @@ "DagCacheStats", "CapacityOptions", "SensitivityOptions", - "SensitivityStatus", "SensitivityEntry", "SensitivityResult", "capacity", @@ -58,15 +62,15 @@ "resolve_to_paths", } -# The shipped private entry: the flow core's recorder entry (APPROACH 2.2). +# The shipped private entry: the flow core's _place_global_units. PRIVATE = {"_place_global_units"} # The private hooks (NETGRAPH_CORE_PRIVATE_HOOKS: the development build only): module functions # and class members. HOOK_FUNCTIONS = { "_max_flows_per_call", - "_sensitivity_fail_edge", "_fail_python_allocation", + "_fail_native_allocation", "_round_robin", "_highest_averages", } @@ -78,8 +82,14 @@ def test_public_surface(): assert set(ngc.__all__) == PUBLIC | {"__version__"} + # Every name the package exposes, not only the ones __all__ lists: the public names and the + # private metadata reader behind __version__ (dunder module attributes aside). + assert {n for n in dir(ngc) if not n.startswith("__")} == PUBLIC | {"_version"} for name in ngc.__all__: assert hasattr(ngc, name) + # Every public name is the compiled module's own object, re-exported. + for name in PUBLIC: + assert getattr(ngc, name) is getattr(_netgraph_core, name), name assert isinstance(ngc.__version__, str) assert ngc.MAX_FLOWS_PER_CALL == 10000 @@ -104,7 +114,26 @@ def test_extension_surface_is_exactly_the_public_and_private_sets(): assert private == want, cls -# The 1a to 1c spellings renamed before 1d (APPROACH 12) and the old Python keyword: no alias. +def test_signatures_name_registered_types_only(): + # pybind11 writes a signature's types when the binding is made: a type registered after a + # binding that takes, returns or defaults to it appears under its C++ name (the + # registration files run in an order where every such type comes first). + docs = [] + for name, obj in vars(_netgraph_core).items(): + docs.append((name, getattr(obj, "__doc__", None))) + if isinstance(obj, type): + for member, raw in vars(obj).items(): + target = raw.__func__ if isinstance(raw, staticmethod) else raw + docs.append((f"{name}.{member}", getattr(target, "__doc__", None))) + if isinstance(raw, property) and raw.fget is not None: + docs.append((f"{name}.{member}.fget", raw.fget.__doc__)) + signed = [(n, d) for n, d in docs if isinstance(d, str) and "(" in d] + assert len(signed) > 200 # not vacuous: every function, method and property + for name, doc in signed: + assert "::" not in doc, (name, doc.splitlines()[0]) + + +# Retired spellings of this API's names: no alias. RETIRED = { "StrictMultiDiGraph", "FlowGraph", @@ -113,7 +142,7 @@ def test_extension_surface_is_exactly_the_public_and_private_sets(): "kMaxFlowsPerCall", } -# The retired search entry points (APPROACH 12) and the 1b private search: never bound. +# The retired search entry points, their option types and the private name _spf: never bound. RETIRED_SEARCH = { "shortest_paths", "shortest_paths_to", @@ -135,7 +164,7 @@ def test_retired_spellings_are_absent(): assert ngc.FlowLedger.__name__ == "FlowLedger" assert ngc.OutputOptions.__name__ == "OutputOptions" assert ngc.DiminishingReturns.__name__ == "DiminishingReturns" - # PredDAG and Path carry no resolver or alternative constructors (APPROACH 12). + # PredDAG and Path carry no resolver or alternative constructors. for name in ("resolve_to_paths", "from_edges", "from_hops"): assert not hasattr(ngc.PredDAG, name), name for name in ("from_edges", "from_hops"): @@ -145,27 +174,190 @@ def test_retired_spellings_are_absent(): assert ngc.UNREACHABLE == 2**63 - 1 -def _config(): - return ngc.FlowPolicyConfig( - routing=ngc.CostOnly(), - placement=ngc.FlowPlacement.EQUAL_BALANCED, - admission=ngc.Admission.LOSSLESS, - selection=ngc.PathSelection( - ngc.EdgeTieBreak.DETERMINISTIC, ngc.EdgePriority.RESIDUAL - ), - ) - - -def test_policy_takes_its_ledger_by_the_ledger_keyword_only(): +def test_policy_takes_its_ledger_first_or_by_the_name_ledger(): + cfg = config(ngc.CostOnly(), selection=sel(prio=RES)) g = ngc.Graph(2, [0], [1], [3], [1], 1.0) ledger = ngc.FlowLedger(g) - p = ngc.FlowPolicy(ledger=ledger, sources=0, destinations=1, config=_config()) + p = ngc.FlowPolicy(ledger=ledger, sources=0, destinations=1, config=cfg) assert p.place(2).placed == 2 assert ledger.records()[0].delivered == 2 - # Positional order unchanged: the ledger first. - assert ngc.FlowPolicy(ledger, 0, 1, _config()).place(1).placed == 1 + # Positionally the ledger comes first. + assert ngc.FlowPolicy(ledger, 0, 1, cfg).place(1).placed == 1 with pytest.raises(TypeError): - ngc.FlowPolicy(flow_graph=ledger, sources=0, destinations=1, config=_config()) - with pytest.raises(ValueError, match="^ledger must be a FlowLedger$"): - ngc.FlowPolicy(None, 0, 1, _config()) + ngc.FlowPolicy(flow_graph=ledger, sources=0, destinations=1, config=cfg) + with pytest.raises(ValueError, match=exact("ledger must be a FlowLedger")): + ngc.FlowPolicy(None, 0, 1, cfg) assert "ledger: _netgraph_core.FlowLedger" in ngc.FlowPolicy.__init__.__doc__ + + +def _refusal_inputs(): + """What the refused calls below share: the chain 0 -> 1 -> 2 and valid options.""" + g = ngc.Graph(3, [0, 1], [1, 2], [5, 5], [1, 1], 1.0) + cfg = config(ngc.CostOnly()) + return SimpleNamespace( + g=g, + ledger=ngc.FlowLedger(g), + cfg=cfg, + capacity=ngc.CapacityOptions(cfg), + sensitivity=ngc.SensitivityOptions(cfg), + spf=ngc.SpfOptions(ngc.Direction.FORWARD, sel()), + ksp=ngc.KspOptions(1, sel()), + dag=ngc.Path(g, [[0], [1]]).to_dag(), + path=ngc.Path(g, [[0]]), + ) + + +GRAPH = "graph must be a Graph" +INTERSECT = "Eligibility.intersect takes two Eligibility values" +PAIR = "each pair must be (sources, destinations)" +ROUTING = "routing must be CostOnly, CapacityAware, Global or Pinned (got {})" +SEQUENCE = "Pinned bundles must be a sequence of PredDAG" +BUNDLE = "Pinned bundles must be PredDAG values (a Path converts with to_dag())" + +# Each wrong argument, the exception class and the whole message it is refused with. A None +# where a Graph, an Eligibility or a PredDAG is expected reaches the binding as a null value +# (pybind11 refuses every other wrong type first), so these checks also keep the call from +# reading it. +REFUSALS = { + "spf-graph-None": (lambda s: ngc.spf(None, 0, s.spf), ValueError, GRAPH), + "ksp-graph-None": (lambda s: ngc.ksp(None, 0, 2, s.ksp), ValueError, GRAPH), + "resolve-graph-None": ( + lambda s: ngc.resolve_to_paths(None, s.dag, 0, 2), + ValueError, + GRAPH, + ), + "resolve-dag-None": ( + lambda s: ngc.resolve_to_paths(s.g, None, 0, 2), + ValueError, + "dag must be a PredDAG", + ), + "DagCache-graph-None": (lambda s: ngc.DagCache(None), ValueError, GRAPH), + "FlowLedger-graph-None": (lambda s: ngc.FlowLedger(None), ValueError, GRAPH), + "FlowLedger-graph-None-with-residual": ( + lambda s: ngc.FlowLedger(None, [5, 5]), + ValueError, + GRAPH, + ), + "Path-graph-None": (lambda s: ngc.Path(None, [[0]]), ValueError, GRAPH), + "from_csr-graph-None": ( + lambda s: ngc.PredDAG.from_csr(None, [0, 0, 0, 0], [], []), + ValueError, + GRAPH, + ), + "capacity-graph-None": ( + lambda s: ngc.capacity(None, 0, 2, s.capacity), + ValueError, + GRAPH, + ), + "batch_capacity-graph-None": ( + lambda s: ngc.batch_capacity(None, [(0, 2)], s.capacity), + ValueError, + GRAPH, + ), + "sensitivity-graph-None": ( + lambda s: ngc.sensitivity(None, 0, 2, s.sensitivity), + ValueError, + GRAPH, + ), + "intersect-second-None": ( + lambda s: ngc.Eligibility.intersect(s.g.eligibility(), None), + ValueError, + INTERSECT, + ), + "intersect-first-None": ( + lambda s: ngc.Eligibility.intersect(None, s.g.eligibility()), + ValueError, + INTERSECT, + ), + # Shapes and types of sequence and field arguments. + "batch_capacity-pairs-not-a-sequence": ( + lambda s: ngc.batch_capacity(s.g, 5, s.capacity), + ValueError, + "pairs must be a sequence of (sources, destinations)", + ), + "batch_capacity-pair-of-one": ( + lambda s: ngc.batch_capacity(s.g, [(0,)], s.capacity), + ValueError, + PAIR, + ), + "batch_capacity-pair-not-a-sequence": ( + lambda s: ngc.batch_capacity(s.g, [5], s.capacity), + ValueError, + PAIR, + ), + "batch_capacity-per_pair_elig-not-a-sequence": ( + lambda s: ngc.batch_capacity(s.g, [(0, 2)], s.capacity, 5), + ValueError, + "per_pair_elig must be a sequence of Eligibility or None", + ), + "Path-hops-not-a-sequence": ( + lambda s: ngc.Path(s.g, 5), + ValueError, + "Path: hops must be a sequence of hops (sequences of EdgeIds)", + ), + "FlowPolicy-sources-2-D": ( + lambda s: ngc.FlowPolicy(s.ledger, np.array([[0]]), 2, s.cfg), + ValueError, + "sources must be a 1-D array (got 2 dimensions)", + ), + "FlowLedger-record-unknown-ledger": ( + lambda s: s.ledger.record((-1, 0)), + ValueError, + "FlowId (-1, 0) is retired or unknown", + ), + "config-routing-int": ( + lambda s: config(5), + TypeError, + ROUTING.format("int"), + ), + "config-routing-None": ( + lambda s: config(None), + TypeError, + ROUTING.format("NoneType"), + ), + "CapacityAware-flow_count-None": ( + lambda s: ngc.CapacityAware(flow_count=None), + ValueError, + "flow_count must be an integer (got None)", + ), + "Absolute-cost-None": ( + lambda s: ngc.Absolute(None), + ValueError, + "Absolute cost must be an integer (got None)", + ), + "DiminishingReturns-window-None": ( + lambda s: ngc.DiminishingReturns(None, 0.5), + ValueError, + "diminishing window must be an integer (got None)", + ), + "Stretch-factor-str": ( + lambda s: ngc.Stretch("1.5"), + ValueError, + "Stretch factor must be a number (got str)", + ), + "Stretch-factor-bool": ( + lambda s: ngc.Stretch(True), + ValueError, + "Stretch factor must be a number (got bool)", + ), + "DiminishingReturns-fraction-str": ( + lambda s: ngc.DiminishingReturns(1, "0.5"), + ValueError, + "diminishing fraction must be a number (got str)", + ), + "Pinned-bundles-int": (lambda s: ngc.Pinned(5), TypeError, SEQUENCE), + "Pinned-bundles-None": (lambda s: ngc.Pinned(None), TypeError, SEQUENCE), + "Pinned-bundle-int": (lambda s: ngc.Pinned([5]), TypeError, BUNDLE), + "Pinned-bundle-None": (lambda s: ngc.Pinned([None]), TypeError, BUNDLE), + "Pinned-bundle-Path": (lambda s: ngc.Pinned([s.path]), TypeError, BUNDLE), +} + + +@pytest.mark.parametrize( + ("call", "error", "message"), REFUSALS.values(), ids=REFUSALS.keys() +) +def test_a_wrong_argument_is_refused_with_its_message(call, error, message): + s = _refusal_inputs() + with pytest.raises(error, match=exact(message)) as info: + call(s) + assert type(info.value) is error diff --git a/tests/py/test_route_structures.py b/tests/py/test_route_structures.py index 5736486..3ecafb6 100644 --- a/tests/py/test_route_structures.py +++ b/tests/py/test_route_structures.py @@ -1,6 +1,6 @@ """PredDAG, Path, PathSelection, the enums and Eligibility.intersect through the bindings -(APPROACH 4, 5, 6): validation in the documented order on unnarrowed values, read-only views, -structural equality.""" +(docs/semantics.md#3-route-values-preddag-and-path): validation in the documented order on +unnarrowed values, read-only views, structural equality.""" from __future__ import annotations @@ -8,23 +8,13 @@ import numpy as np import pytest +from helpers import build, exact import netgraph_core as ngc L64 = 1 << 64 -def build(n, edges, q=1.0): - return ngc.Graph( - n, - [e[0] for e in edges], - [e[1] for e in edges], - [e[2] for e in edges], - [e[3] for e in edges], - q, - ) - - # ids by (src, cost, dst, input): 0: 0->1, 1: 0->1, 2: 0->2 (cost 3), 3: 1->2, 4: 2->0 G_EDGES = [(0, 1, 5, 1), (0, 1, 5, 1), (1, 2, 5, 1), (0, 2, 5, 3), (2, 0, 5, 1)] @@ -36,46 +26,149 @@ def test_from_csr_round_trip_and_views(): assert list(dag.parent_offsets()) == [0, 0, 2, 4] assert list(dag.parents()) == [0, 0, 0, 1] assert list(dag.via_edges()) == [0, 1, 2, 3] - view = dag.via_edges() - assert view.dtype == np.int32 + # parent_offsets() is a new read-only array on each call. + offsets = dag.parent_offsets() + assert offsets.dtype == np.int32 and not offsets.flags.writeable with pytest.raises(ValueError): - view[0] = 9 + offsets[0] = 9 + assert dag.parent_offsets() is not offsets + assert not np.shares_memory(dag.parent_offsets(), offsets) + # parents() and via_edges() are read-only views that keep the DAG alive. + parents, view = dag.parents(), dag.via_edges() + for array in (parents, view): + assert array.dtype == np.int32 and not array.flags.writeable + with pytest.raises(ValueError): + array[0] = 9 del dag gc.collect() - assert list(view) == [0, 1, 2, 3] # the view keeps the DAG alive + assert list(view) == [0, 1, 2, 3] # the views keep the DAG alive + assert list(parents) == [0, 0, 0, 1] same = ngc.PredDAG.from_csr( g, np.array([0, 0, 2, 4]), np.array([0, 0, 0, 1]), np.array([0, 1, 2, 3]) ) again = ngc.PredDAG.from_csr(g, [0, 0, 2, 4], [0, 0, 0, 1], [0, 1, 2, 3]) assert same == again and hash(same) == hash(again) assert same != ngc.PredDAG.from_csr(g, [0, 0, 0, 0], [], []) + # Equality includes the graph: the same CSR on a twin graph (the same arrays, another uid) is + # another value. + twin = build(3, G_EDGES) + there = ngc.PredDAG.from_csr(twin, [0, 0, 2, 4], [0, 0, 0, 1], [0, 1, 2, 3]) + assert there.graph_uid() == twin.uid() != g.uid() + assert list(there.via_edges()) == list(same.via_edges()) + assert there != same and not there == same @pytest.mark.parametrize( ("offsets", "parents", "via", "message"), [ - ([0, 0, 0], [], [], "offsets has length 3"), - ([1, 0, 2, 1], [], [], r"offsets\[0\] = 1"), - ([L64, 0, 0, 0], [], [], r"offsets\[0\] = 18446744073709551616"), - ([0, 2, 1, 2], [0, 0], [0, 1], "not monotone at 2"), - ([0, L64, 0, 0], [], [], "not monotone at 2"), - ([0, 0, 2, 2], [0], [0, 1], "parents has 1"), - ([0, 0, 2, 3], [9, 0], [0, 1], r"offsets\[N\] = 3"), - ([0, 0, 2, 2], [3, 0], [0, 1], r"parents\[0\] = 3"), - ([0, 0, 2, 2], [-L64, 0], [0, 1], r"parents\[0\] = -18446744073709551616"), - ([0, 0, 2, 2], [0, 0], [0, L64], r"via\[1\] = 18446744073709551616"), - ([0, 0, 2, 2], [1, 0], [0, 1], r"joins \(0, 1\), not \(1, 1\)"), - ([0, 0, 2, 2], [0, 0], [1, 1], "duplicate entry"), - ([0, 1, 2, 3], [2, 0, 1], [4, 0, 3], "cycle"), - ([0, 0, 2, 2], [0, 0], [1, 0], "not in ascending via EdgeId"), + ([0, 0, 0], [], [], "offsets has length 3, expected N + 1 = 4"), + ([1, 0, 2, 1], [], [], "offsets[0] = 1, expected 0"), + ([L64, 0, 0, 0], [], [], "offsets[0] = 18446744073709551616, expected 0"), + ([0, 2, 1, 2], [0, 0], [0, 1], "offsets are not monotone at 2 (2 > 1)"), + ( + [0, L64, 0, 0], + [], + [], + "offsets are not monotone at 2 (18446744073709551616 > 0)", + ), + ( + [0, 0, 2, 2], + [0], + [0, 1], + "offsets[N] = 2 but parents has 1 and via has 2 entries", + ), + ( + [0, 0, 2, 3], + [9, 0], + [0, 1], + "offsets[N] = 3 but parents has 2 and via has 2 entries", + ), + ([0, 0, 2, 2], [3, 0], [0, 1], "parents[0] = 3 out of node range [0, 3)"), + ( + [0, 0, 2, 2], + [-L64, 0], + [0, 1], + "parents[0] = -18446744073709551616 out of node range [0, 3)", + ), + ( + [0, 0, 2, 2], + [0, 0], + [0, L64], + "via[1] = 18446744073709551616 out of edge range [0, 5)", + ), + ( + [0, 0, 2, 2], + [1, 0], + [0, 1], + "entry 0 of node 1: via edge 0 joins (0, 1), not (1, 1)", + ), + ([0, 0, 2, 2], [0, 0], [1, 1], "duplicate entry (child 1, via 1)"), + # A cycle (0 -> 1 -> 2 -> 0) before the order check: node 1's entries descend. + ([0, 1, 3, 4], [2, 0, 0, 1], [4, 1, 0, 3], "the entries contain a cycle"), + ( + [0, 0, 2, 2], + [0, 0], + [1, 0], + "the entries of node 1 are not in ascending via EdgeId (1 then 0)", + ), ], ) def test_from_csr_validation_order(offsets, parents, via, message): g = build(3, G_EDGES) - with pytest.raises(ValueError, match=message): + with pytest.raises(ValueError, match=exact(f"PredDAG.from_csr: {message}")): ngc.PredDAG.from_csr(g, offsets, parents, via) +def test_from_csr_reports_the_first_of_several_defects(): + # Every defect at once, then each reported one removed: the shape (length, offsets[0], + # monotone, offsets[N]), then the ranges of every entry (unnarrowed, before any endpoint is + # read), the endpoints, a duplicate, a cycle, the order within a node. Node 1's entries hold + # the cycle 0 -> 1 -> 2 -> 0 with node 0's, a duplicate and a descending pair. + g = build(3, G_EDGES) + big = 2**70 + steps = [ + ([1, 0, 0], [big], [big], "offsets has length 3, expected N + 1 = 4"), + ([1, 0, 2, 5], [big], [big], "offsets[0] = 1, expected 0"), + ([0, 2, 1, 5], [big], [big], "offsets are not monotone at 2 (2 > 1)"), + ( + [0, 0, 2, 5], + [big], + [big], + "offsets[N] = 5 but parents has 1 and via has 1 entries", + ), + ( + [0, 1, 4, 6], + [2, 0, 0, 0, 0, 1], + [4, 1, 0, 0, 0, big], + f"via[5] = {big} out of edge range [0, 5)", + ), + ( + [0, 1, 4, 6], + [2, 0, 0, 0, 0, 1], + [4, 1, 0, 0, 0, 3], + "entry 4 of node 2: via edge 0 joins (0, 1), not (0, 2)", + ), + ( + [0, 1, 4, 6], + [2, 0, 0, 0, 0, 1], + [4, 1, 0, 0, 2, 3], + "duplicate entry (child 1, via 0)", + ), + ([0, 1, 3, 5], [2, 0, 0, 0, 1], [4, 1, 0, 2, 3], "the entries contain a cycle"), + ( + [0, 0, 2, 4], + [0, 0, 0, 1], + [1, 0, 2, 3], + "the entries of node 1 are not in ascending via EdgeId (1 then 0)", + ), + ] + for offsets, parents, via, message in steps: + with pytest.raises(ValueError) as info: + ngc.PredDAG.from_csr(g, offsets, parents, via) + assert str(info.value) == "PredDAG.from_csr: " + message + ngc.PredDAG.from_csr(g, [0, 0, 2, 4], [0, 0, 0, 1], [0, 1, 2, 3]) + + @pytest.mark.parametrize( "offsets", [ @@ -87,7 +180,7 @@ def test_from_csr_validation_order(offsets, parents, via, message): ], ) def test_from_csr_compares_offsets_beyond_int64_exactly(offsets): - # review-1b D2: two offsets above int64 compare by value, so a decreasing pair is the + # Two offsets above int64 compare by value, so a decreasing pair is the # monotonicity error at its index, before the offsets[N] count check. g = build(2, [(0, 1, 1, 1)]) with pytest.raises(ValueError, match="not monotone at 2"): @@ -99,13 +192,60 @@ def test_from_csr_compares_offsets_beyond_int64_exactly(offsets): ngc.PredDAG.from_csr(g, increasing, [], []) +class FailingIndex: + """An integer-like object whose __index__ returns 2**100, except on call `fail_on`, which + raises `error` (kept to check that the caller receives this very exception).""" + + def __init__(self, fail_on=0, error=None): + self.calls = 0 + self.fail_on = fail_on + self.error = error + + def __index__(self): + self.calls += 1 + if self.calls == self.fail_on: + raise self.error + return 2**100 + + +class ConversionFailed(Exception): + pass + + +@pytest.mark.parametrize("error_type", [ConversionFailed, MemoryError]) +@pytest.mark.parametrize("which", [1, 2]) +@pytest.mark.parametrize("fail_on", [1, 2]) +def test_from_csr_passes_a_failed_offset_conversion_through(fail_on, which, error_type): + # Offsets 1 and 2 both overflow int64: they are read once, then converted again to compare + # them exactly. A conversion that fails, on either read of either offset, raises its own + # exception to the caller, unchanged and with no other exception attached. + g = build(2, [(0, 1, 1, 1)]) + offsets = [0, FailingIndex(), FailingIndex()] + error = error_type("conversion failed") + offsets[which].fail_on, offsets[which].error = fail_on, error + with pytest.raises(error_type) as info: + ngc.PredDAG.from_csr(g, offsets, [], []) + assert info.value is error + assert info.value.__cause__ is None and info.value.__context__ is None + assert offsets[which].calls == fail_on + # Without a failure the same offsets reach the count check (2**100 is not 0 entries). + with pytest.raises(ValueError, match=r"^PredDAG.from_csr: offsets\[N\] = "): + ngc.PredDAG.from_csr(g, [0, FailingIndex(), FailingIndex()], [], []) + + def test_from_csr_type_and_shape_defects(): g = build(3, G_EDGES) - with pytest.raises(ValueError, match="1-D"): + with pytest.raises( + ValueError, match=exact("offsets must be a 1-D array (got 2 dimensions)") + ): ngc.PredDAG.from_csr(g, np.zeros((2, 2), dtype=np.int64), [], []) - with pytest.raises(ValueError, match="integer"): + with pytest.raises( + ValueError, match=exact("offsets[3] must be an integer (got float)") + ): ngc.PredDAG.from_csr(g, [0, 0, 0, 0.0], [], []) - with pytest.raises(ValueError, match="integer"): + with pytest.raises( + ValueError, match=exact("offsets[3] must be an integer (got bool)") + ): ngc.PredDAG.from_csr(g, [0, 0, 0, True], [], []) @@ -117,30 +257,65 @@ def test_path_cost_hops_and_to_dag(): dag = p.to_dag() assert list(dag.parent_offsets()) == [0, 0, 2, 3] assert list(dag.via_edges()) == [0, 1, 3] + assert p.graph_uid() == g.uid() assert ngc.Path(g, [[1, 0], [3]]) == p assert ngc.Path(g, [[0, 1], [3]]) != p assert hash(ngc.Path(g, [[1, 0], [3]])) == hash(p) + # Equality includes the graph: the same hops on a twin graph (the same arrays, another uid). + twin = build(3, G_EDGES) + there = ngc.Path(twin, [[1, 0], [3]]) + assert there.graph_uid() == twin.uid() != g.uid() + assert there.hops() == p.hops() and there.cost() == p.cost() + assert there != p and not there == p @pytest.mark.parametrize( ("hops", "message"), [ - ([[], [7]], "member 7 out of edge range"), - ([[L64]], "member 18446744073709551616 out of edge range"), + ([[], [7]], "hop 1 member 7 out of edge range [0, 5)"), + ([[L64]], "hop 0 member 18446744073709551616 out of edge range [0, 5)"), ([[0, 0], []], "duplicate member 0"), - ([], "hop list is empty"), + ([], "the hop list is empty"), ([[0], []], "hop 1 is empty"), - ([[0, 2]], r"do not share \(u, v\)"), - ([[0], [2]], "not contiguous"), + ( + [[0, 2]], + "the members of hop 0 do not share (u, v): edge 2 joins (0, 2), edge 0 " + "joins (0, 1)", + ), + ([[0], [2]], "hops 0 and 1 are not contiguous (1 then 0)"), ([[2], [4]], "node 0 is repeated"), ], ) def test_path_validation_order(hops, message): g = build(3, G_EDGES) - with pytest.raises(ValueError, match=message): + with pytest.raises(ValueError, match=exact(f"Path: {message}")): ngc.Path(g, hops) +def test_path_reports_the_first_of_several_defects(): + # Several defects at once, then each reported one removed; the later defect sits in an + # earlier hop where it can. Hop 2 of the fourth step mixes 0 -> 2 and 0 -> 1, hops 0 and 1 + # do not meet and node 0 repeats. + g = build(3, G_EDGES) + big = 2**70 + steps = [ + ([[0, 0, 2], [], [big]], f"hop 2 member {big} out of edge range [0, 5)"), + ([[0, 0, 2], [], [4]], "duplicate member 0"), + ([[0, 2], [], [4]], "hop 1 is empty"), + ( + [[1], [4], [2, 0]], + "the members of hop 2 do not share (u, v): edge 0 joins (0, 1), edge 2 " + "joins (0, 2)", + ), + ([[1], [4], [2]], "hops 0 and 1 are not contiguous (1 then 2)"), + ([[2], [4], [0]], "node 0 is repeated"), + ] + for hops, message in steps: + with pytest.raises(ValueError) as info: + ngc.Path(g, hops) + assert str(info.value) == "Path: " + message + + def test_path_selection_and_enums(): sel = ngc.PathSelection( ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, ngc.EdgePriority.HEADROOM @@ -157,7 +332,7 @@ def test_path_selection_and_enums(): ) assert "PREFER_HIGHER_PRIORITY" in repr(sel) with pytest.raises(TypeError): - ngc.PathSelection() # type: ignore[call-arg] # tie_break and priority are explicit + ngc.PathSelection() # tie_break and priority are explicit assert {m.name for m in ngc.FlowPlacement.__members__.values()} == { "MAX_FLOW", "WEIGHTED", @@ -180,6 +355,11 @@ def test_eligibility_intersect_returns_the_operand_object(): assert ngc.Eligibility.intersect(everything, a) is a assert ngc.Eligibility.intersect(a, everything) is a assert ngc.Eligibility.intersect(a, a) is a + # Two equal values built separately (distinct uids): the first operand wins the tie. + a2 = g.eligibility(excluded_edges=[0]) + assert a2.uid() != a.uid() + assert ngc.Eligibility.intersect(a, a2) is a + assert ngc.Eligibility.intersect(a2, a) is a2 assert ngc.Eligibility.intersect(a, ab) is ab x = ngc.Eligibility.intersect(a, b) y = ngc.Eligibility.intersect(a, b) diff --git a/tests/py/test_search.py b/tests/py/test_search.py index 048bb90..13c31d6 100644 --- a/tests/py/test_search.py +++ b/tests/py/test_search.py @@ -1,45 +1,41 @@ -"""The public search through the binding (``spf``, APPROACH 6): results, the DAG's canonical -form, the validation order on unnarrowed values, the enumerations, and the all-or-nothing -construction of the result objects.""" +"""The public search through the binding (``spf``, docs/semantics.md#4-search): results, the +DAG's canonical form, the validation order on unnarrowed values, the enumerations, and the +all-or-nothing construction of the result objects.""" from __future__ import annotations -import _netgraph_core as ext +import itertools +import traceback + import numpy as np import pytest +from helpers import ( + DET, + L62, + PREFER, + RES, + build, + exact, + ids, + plain, + sel, + sweep_python_allocation, + to_ids, +) from private_hooks import needs_hooks import netgraph_core as ngc -DET = ngc.EdgeTieBreak.DETERMINISTIC -PREFER = ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY -CAP = ngc.EdgePriority.CAPACITY -RES = ngc.EdgePriority.RESIDUAL FWD = ngc.Direction.FORWARD REV = ngc.Direction.REVERSE -def build(n, edges, q=1.0): - return ngc.Graph( - n, - [e[0] for e in edges], - [e[1] for e in edges], - [e[2] for e in edges], - [e[3] for e in edges], - q, - ) - - -def ids(g, positions): - return sorted(int(e) for e, p in enumerate(g.input_index()) if p in positions) - - def via(dag): return sorted(int(e) for e in dag.via_edges()) def opts(direction=FWD, selection=None, **kw): - return ngc.SpfOptions(direction, selection or ngc.PathSelection(DET, CAP), **kw) + return ngc.SpfOptions(direction, selection or sel(), **kw) ANYCAST = [(0, 1, 1, 1), (1, 2, 1, 1), (0, 3, 1, 2), (3, 2, 1, 5), (1, 4, 1, 5)] @@ -84,12 +80,12 @@ def test_reverse_full_search_is_forward_oriented(): assert off[0] == 0 and off[-1] == len(r.dag.via_edges()) -def test_staged_single_path_review13_d3_both_directions(): +def test_staged_single_path_with_a_shared_bottleneck_takes_the_fewest_hops(): # s -> v (1, prio 1), v -> t (3, prio 1), v -> a -> b -> t (1 + 1 + 1, prio 2): the # bottleneck of every walk is 1, so the two-hop walk wins under both tie modes. g = build(5, [(0, 1, 1, 1), (1, 4, 1, 3), (1, 2, 2, 1), (2, 3, 2, 1), (3, 4, 2, 1)]) for tie in (DET, PREFER): - s = ngc.PathSelection(tie, CAP, multipath=False) + s = sel(tie, mp=False) f = ngc.spf(g, 0, opts(selection=s, targets=4)) assert via(f.dag) == ids(g, {0, 1}) assert f.target_cost == 4 @@ -100,9 +96,8 @@ def test_staged_single_path_review13_d3_both_directions(): def test_residual_gating_and_priority(): # Capacities 5; residuals by input [5, 4, 1, 3, 2]: 0->1->3 has bottleneck 4. g = build(4, [(0, 1, 5, 1), (1, 3, 5, 1), (0, 2, 5, 1), (2, 3, 5, 1), (0, 3, 5, 2)]) - by_input = [5, 4, 1, 3, 2] - residual = np.array([by_input[int(p)] for p in g.input_index()], dtype=np.int64) - s = ngc.PathSelection(PREFER, RES, multipath=False) + residual = np.array(to_ids(g, [5, 4, 1, 3, 2]), dtype=np.int64) + s = sel(PREFER, RES, mp=False) r = ngc.spf(g, 0, opts(selection=s, targets=3, residual=residual)) assert via(r.dag) == ids(g, {0, 1}) # Gated at 4 units: only 0->1 (5) and 1->3 (4) are routable on that walk; the direct edge @@ -115,16 +110,19 @@ def test_residual_gating_and_priority(): def test_validation_order_on_unnarrowed_values(): + # The residual's own checks are the shared ones of test_edge_amounts.py. g = build(3, [(0, 1, 2, 1), (1, 2, 2, 1)]) other = build(3, [(0, 1, 2, 1)]) - with pytest.raises(ValueError, match=r"^roots: the node set is empty$"): + with pytest.raises(ValueError, match=exact("roots: the node set is empty")): ngc.spf(g, [], opts()) - with pytest.raises(ValueError, match=r"^roots: node 3 out of node range \[0, 3\)$"): + with pytest.raises( + ValueError, match=exact("roots: node 3 out of node range [0, 3)") + ): ngc.spf(g, 3, opts()) big = 2**70 with pytest.raises(ValueError, match=rf"^roots: node {big} out of node range"): ngc.spf(g, [0, big], opts()) - with pytest.raises(ValueError, match=r"^targets: the node set is empty$"): + with pytest.raises(ValueError, match=exact("targets: the node set is empty")): ngc.spf(g, 0, opts(targets=[])) with pytest.raises(ValueError, match=r"^targets: node -1 out of node range"): ngc.spf(g, 0, opts(targets=[-1])) @@ -132,43 +130,55 @@ def test_validation_order_on_unnarrowed_values(): ValueError, match=r"^node 1 is in both endpoint sets: roots and targets" ): ngc.spf(g, [0, 1], opts(targets=[1])) - with pytest.raises(ValueError, match="^multipath = false requires targets"): - ngc.spf(g, 0, opts(selection=ngc.PathSelection(DET, CAP, multipath=False))) - with pytest.raises(ValueError, match="^residual has length 1, expected 2"): - ngc.spf(g, 0, opts(residual=[1])) - with pytest.raises(ValueError, match=r"^residual\[1\] = 3 is outside"): - ngc.spf(g, 0, opts(residual=[1, 3])) - with pytest.raises(ValueError, match=r"^residual\[0\] = -" + str(big)): - ngc.spf(g, 0, opts(residual=[-big, 1])) + single = ( + "multipath = false requires targets (the single path joins a root to a target)" + ) + with pytest.raises(ValueError, match=exact(single)): + ngc.spf(g, 0, opts(selection=sel(mp=False))) with pytest.raises( - ValueError, match=r"^min_residual must be at least 1 unit \(got 0\)$" + ValueError, match=exact("min_residual must be at least 1 unit (got 0)") ): ngc.spf(g, 0, opts(min_residual=0)) - with pytest.raises(ValueError, match=r"min_residual must be an integer"): + with pytest.raises( + ValueError, match=exact(f"min_residual must be at least 1 unit (got {-big})") + ): + ngc.spf(g, 0, opts(min_residual=-big)) + with pytest.raises( + ValueError, match=exact("min_residual must be an integer (got float)") + ): ngc.spf(g, 0, opts(min_residual=1.5)) with pytest.raises(ValueError, match="^foreign Eligibility"): ngc.spf(g, 0, opts(elig=other.eligibility([], [0]))) - # Several defects: the contract's order (roots, targets, overlap, single path, residual, - # min_residual, Eligibility). - with pytest.raises(ValueError, match="^roots: the node set is empty$"): + # Several defects: the first in the documented order (roots, targets, overlap, single + # path, residual, min_residual, Eligibility). + with pytest.raises(ValueError, match=exact("roots: the node set is empty")): ngc.spf(g, [], opts(targets=[], residual=[1], min_residual=0)) + with pytest.raises(ValueError, match=rf"^targets: node {big} out of node range"): + ngc.spf(g, 0, opts(targets=[0, big], residual=[])) with pytest.raises(ValueError, match="both endpoint sets"): ngc.spf(g, 0, opts(targets=0, residual=[])) - with pytest.raises(ValueError, match="requires targets"): + with pytest.raises(ValueError, match=exact(single)): ngc.spf( g, 0, - opts(selection=ngc.PathSelection(DET, CAP, multipath=False), residual=[]), + opts(selection=sel(mp=False), residual=[]), ) with pytest.raises(ValueError, match="^residual"): ngc.spf(g, 0, opts(residual=[1, 9], min_residual=0)) with pytest.raises(ValueError, match="^min_residual"): ngc.spf(g, 0, opts(min_residual=0, elig=other.eligibility([], [0]))) - # A huge min_residual gates every residual edge (no error). - assert list(ngc.spf(g, 0, opts(residual=[2, 2], min_residual=big)).costs)[1:] == [ - ngc.UNREACHABLE, - ngc.UNREACHABLE, - ] + # A min_residual above INT64_MAX is no error and acts as INT64_MAX does: it gates every + # residual edge, even one whose residual is the largest unit value 2^62 - 1, which + # min_residual = 2^62 - 1 itself admits. + top = build(2, [(0, 1, L62 - 1, 1)]) + for m in (L62 - 1, 2**63 - 1, big): + r = ngc.spf(top, 0, opts(residual=[L62 - 1], min_residual=m)) + assert list(r.costs) == [0, 1 if m == L62 - 1 else ngc.UNREACHABLE], m + huge = ngc.spf(g, 0, opts(residual=[2, 2], min_residual=big)) + assert list(huge.costs)[1:] == [ngc.UNREACHABLE, ngc.UNREACHABLE] + assert plain(huge) == plain( + ngc.spf(g, 0, opts(residual=[2, 2], min_residual=2**63 - 1)) + ) def test_options_types_and_enumerations(): @@ -176,49 +186,143 @@ def test_options_types_and_enumerations(): o = opts(targets=[1], min_residual=3) assert o.direction == FWD and o.targets == [1] and o.min_residual == 3 assert o.residual is None and o.elig is None - with pytest.raises(ValueError, match="^direction: 7 is not a value of Direction$"): - ngc.SpfOptions(ngc.Direction(7), ngc.PathSelection(DET, CAP)) + with pytest.raises( + ValueError, match=exact("direction: 7 is not a value of Direction") + ): + ngc.SpfOptions(ngc.Direction(7), sel()) with pytest.raises(TypeError): - ngc.SpfOptions(FWD, ngc.PathSelection(DET, CAP), fanout_edges=[0]) + ngc.SpfOptions(FWD, sel(), fanout_edges=[0]) with pytest.raises(TypeError, match=r"^spf\(\): incompatible function arguments"): ngc.spf(g, 0, opts(), fanout_edges=[0]) - with pytest.raises(TypeError, match="SpfOptions expected"): - ngc.spf(g, 0, ngc.PathSelection(DET, CAP)) + with pytest.raises( + TypeError, match=exact("SpfOptions expected (got PathSelection)") + ): + ngc.spf(g, 0, sel()) with pytest.raises(TypeError): ngc.SpfOptions(FWD) # Roots as a NumPy array, with duplicates. r = ngc.spf(g, np.array([0, 0], dtype=np.int32), opts()) assert list(r.costs) == [0, 1] + # SpfOptions keeps targets, residual and min_residual as given (the same objects) and + # validates only the direction: spf validates the rest at the call, in its order. + assert opts().min_residual == 1 + targets, residual, low = [1, 1], [9], -(2**70) + o = opts(targets=targets, residual=residual, min_residual=low) + assert o.targets is targets and o.residual is residual and o.min_residual is low + assert o.selection == sel() + with pytest.raises(ValueError, match=r"^residual\[0\] = 9 is outside"): + ngc.spf(g, 0, o) @needs_hooks def test_python_result_construction_is_all_or_nothing(): # Every Python object allocation of the call fails once: the call raises (never crashes) - # and a clean retry gives the same result. + # and a clean retry gives the same result, for a search with targets and a full search. g = build(5, ANYCAST) - o = opts(targets=[2, 4]) - want = ngc.spf(g, 0, o) - seen = None - k = 0 - failures = 0 - while True: - hit, seen, result, error = ext._fail_python_allocation(ngc.spf, (g, 0, o), k) - if not hit: - assert result is not None and result.dag == want.dag - break - failures += 1 - assert result is None and isinstance(error, (MemoryError, RuntimeError)), error - again = ngc.spf(g, 0, o) - assert again.dag == want.dag and again.target_cost == want.target_cost - k += 1 - assert failures >= 3 and seen > 0 - full = opts() - want_full = ngc.spf(g, 0, full) - for k in range(40): - hit, _seen, result, error = ext._fail_python_allocation( - ngc.spf, (g, 0, full), k - ) - if not hit: - assert list(result.costs) == list(want_full.costs) - break - assert result is None and error is not None + for o in (opts(targets=[2, 4]), opts()): + failures = sweep_python_allocation(lambda o=o: (ngc.spf, (g, 0, o), list), 200) + assert failures >= 3, o.targets + + +@needs_hooks +def test_the_python_allocation_sweep_rejects_a_wrong_call(): + # sweep_python_allocation rejects a wrong call, each on its own clause: one that absorbs the + # injected failure and returns a value, one that raises another exception in its place, one + # that changes the observable state before the failure reaches it; one whose completing call + # raises after its result, returns another value or makes fewer allocations than failed + # before it (a prebuilt result), one whose retry after a failure returns another value; and + # one that has not completed within the attempt limit. + g = build(5, ANYCAST) + + def absorbs(o): + try: + return ngc.spf(g, 0, o) + except MemoryError: + return "absorbed" + + def replaces(o): + try: + return ngc.spf(g, 0, o) + except MemoryError: + raise LookupError("replaced") from None + + def changing(): + log = [] + + def changes(o): + log.append(o) + return ngc.spf(g, 0, o) + + return changes, (opts(),), lambda: len(log) + + def root(r): + def search(o): + return ngc.spf(g, r, o) + + return search + + root0, root1 = root(0), root(1) + full = ngc.spf(g, 0, opts()) + + def prebuilt(o): + return full + + def raising(): + # The completing call raises after its result. It raises in the frame the sweep calls: + # CPython keeps an exception whose traceback entry for an outer frame failed to allocate. + made = itertools.count() + + def make(): + m = next(made) + calls = itertools.count() + + def raises(o): + first = not next(calls) + result = ngc.spf(g, 0, o) + if m and first: + raise LookupError("after its result") + return result + + return raises, (opts(),), list + + return make + + def by_turn(turns): + # The c-th call within the m-th make() runs turns(m, c); m = 0 is the sweep's reference. + made = itertools.count() + + def make(): + m = next(made) + calls = itertools.count() + return (lambda o: turns(m, next(calls))(o)), (opts(),), list + + return make + + for make, clause in ( + (lambda: (absorbs, (opts(),), list), "assert value is None, (where, value)"), + ( + lambda: (replaces, (opts(),), list), + "assert isinstance(error, (MemoryError, RuntimeError)), (where, repr(error))", + ), + (changing, "assert snapshot() == before, where"), + (raising(), "assert error is None, (where, repr(error))"), + ( + by_turn(lambda m, c: root1 if m and not c else root0), + "assert plain(value) == want, where", + ), + ( + by_turn(lambda m, c: prebuilt if m >= 3 and not c else root0), + "assert seen == failures, (where, seen) # every allocation failed once", + ), + ( + by_turn(lambda m, c: root1 if m and c == 1 else root0), + "assert plain(fn(*args)) == want, where", + ), + ): + with pytest.raises(AssertionError) as info: + sweep_python_allocation(make, 200) + assert traceback.extract_tb(info.tb)[-1].line == clause + # A call that needs more attempts than the limit: the sweep fails, never passes. + with pytest.raises(pytest.fail.Exception) as info: + sweep_python_allocation(lambda: (ngc.spf, (g, 0, opts()), list), 2) + assert str(info.value) == "spf never completed" diff --git a/tests/py/test_units.py b/tests/py/test_units.py index 2c62aea..38c1325 100644 --- a/tests/py/test_units.py +++ b/tests/py/test_units.py @@ -1,4 +1,4 @@ -"""to_units (round half up, the only entry of physical numbers) and as_float (APPROACH 2.1).""" +"""to_units (round half up, the only entry of physical numbers) and as_float.""" from __future__ import annotations @@ -7,6 +7,7 @@ import numpy as np import pytest +from helpers import exact import netgraph_core as ngc @@ -34,9 +35,16 @@ def test_arrays(): assert ngc.to_units(np.array([], dtype=float), 1).tolist() == [] assert ngc.as_float([1, 2, 3], 0.5).tolist() == [0.5, 1.0, 1.5] assert ngc.as_float(np.array([4096], dtype=np.int64), q).tolist() == [1.0] + # An int gives a float, an integer array a float64 array, also for whole results. + assert type(ngc.as_float(4096, q)) is float + assert type(ngc.as_float(2**70, 1.0)) is float + assert ngc.as_float([1, 2, 3], 1.0).dtype == np.float64 + assert ngc.as_float(np.array([4096], dtype=np.int64), q).dtype == np.float64 -def test_admission_is_not_additive(): +def test_rounding_is_per_value_not_additive(): + # Each value is converted to whole units on its own: two values of 0.6 units give 1 + 1, + # their sum 1.2 gives 1. q = 2.0**-12 assert ngc.to_units(0.6 * q, q) + ngc.to_units(0.6 * q, q) == 2 assert ngc.to_units(1.2 * q, q) == 1 @@ -48,39 +56,55 @@ def test_exactness_limits(): assert ngc.as_float(1 << 70, 2.0**-12) == 2.0**58 +NAN = "to_units: NaN has no unit value" +INFINITE = "to_units: an infinite amount is not finite and has no unit value" +BOUND = "to_units: the amount is at or above the bound of the units domain (2^62 units)" +NOT_PHYSICAL = "to_units takes physical numbers (a float or an array of floats)" +RESOLUTION = "resolution must be a power of two in [2^-32, 2^32]" + + @pytest.mark.parametrize( - "x, pattern", + "x, message", [ - (float("nan"), "NaN"), - (float("inf"), "finite"), - (-float("inf"), "finite"), - (-1e-300, "negative"), - (2.0**62, "bound"), - ([1.0, float("nan")], "NaN"), - ("1.0", "physical numbers"), - (True, "physical numbers"), - (["a"], "physical numbers"), + (float("nan"), NAN), + (float("inf"), INFINITE), + (-float("inf"), INFINITE), + (-1e-300, "to_units: a negative amount has no unit value"), + (2.0**62, BOUND), + ([1.0, float("nan")], NAN), + ("1.0", NOT_PHYSICAL), + (b"1.0", NOT_PHYSICAL), + (True, NOT_PHYSICAL), + (["a"], "to_units takes physical numbers (got dtype None: + self.graphs: list[dict] = [] + self.graph_ids: dict[int, int] = {} + self.ledgers: list[object] = [] + self.policies: list[object] = [] + self.ops: list[dict] = [] + + def graph_id(self, g) -> int: + got = self.graph_ids.get(g.uid) + if got is not None: + return got + pos = g.input_index() + edges = [None] * g.num_edges + for e in range(g.num_edges): + edges[pos[e]] = [g.src[e], g.dst[e], g.capacity[e], g.cost[e]] + self.graphs.append( + { + "n": g.num_nodes, + "q": float(g.q), + "edges": edges, + "input_index": list(pos), + } + ) + self.graph_ids[g.uid] = len(self.graphs) - 1 + return len(self.graphs) - 1 + + def ledger_id(self, fg) -> int: + for i, x in enumerate(self.ledgers): + if x is fg: + return i + raise AssertionError("a ledger the recorder did not see") + + def policy_id(self, pol) -> int: + for i, x in enumerate(self.policies): + if x is pol: + return i + raise AssertionError("a policy the recorder did not see") + + +REC: Recorder | None = None + + +# ------------------------------------------------------------------ normalisation + + +def norm(x): + """Drop process-dependent and probe-count fields; FlowIds to their id.""" + if isinstance(x, dict): + out = {} + for k, v in x.items(): + if k in ("evals", "ledger_uid", "counters", "evaluations"): + continue + if k in ("flow_id", "flow") and isinstance(v, list) and len(v) == 2: + out[k] = v[1] + continue + out[k] = norm(v) + return out + if isinstance(x, list): + return [norm(v) for v in x] + return x + + +def ledger_state(fg) -> dict: + return { + "allocated": list(fg.allocated()), + "residual": list(fg.residual()), + "records": [ + { + "flow_id": r.flow_id[1], + "owner": r.owner, + "sources": list(r.sources), + "destinations": list(r.destinations), + "placement": r.placement, + "admission": r.admission, + "bundle": sorted(r.bundle), + "route_cost": None + if r.route_cost == sys.modules["units"].UNREACHABLE + else r.route_cost, + "offered": r.offered, + "delivered": r.delivered, + "edges": [[e, x] for e, x in sorted(r.edges.items()) if x], + "drops": [[e, x] for e, x in sorted(r.drops.items()) if x], + } + for r in fg.records() + ], + "next_flow_id": fg.next_flow_id(), + "bound": sorted(fg._bound), + "orphans": sorted(fg._orphans), + } + + +def policy_state(pol) -> dict: + lossy = pol.admission == "Lossy" + cohorts = [] + for s in sorted(pol.cohorts): + flows = pol.cohorts[s] + if not flows: + continue + out = [] + for f in flows: + w = f.plan.weights + out.append( + { + "id": f.flow_id[1], + "route": list(f.route), + "T": None if lossy else f.T, + "delivered": f.delivered, + "alloc": [[e, x] for e, x in sorted(f.alloc.items()) if x], + "members": list(f.plan.members), + "weights": None + if w is None + else [[e, x] for e, x in sorted(w.items())], + } + ) + cohorts.append([s, out]) + return { + "roster": list(pol.roster), + "requested": pol.requested, + "infinite": pol.infinite, + "placed_demand": pol.placed_demand(), + "usable": pol.usable_bundles(), + "cohorts": cohorts, + } + + +def config_json(cfg) -> dict: + r = cfg.routing + kind = type(r).__name__ + routing: dict = {"kind": kind} + if kind == "Pinned": + routing["bundles"] = [sorted(b) for b in r.bundles] + elif kind == "CapacityAware": + routing.update( + flow_count=r.flow_count, + max_flow_count=r.max_flow_count, + max_path_cost=None + if r.max_path_cost is None + else [ + r.max_path_cost[0], + float(r.max_path_cost[1]) + if r.max_path_cost[0] == "Stretch" + else r.max_path_cost[1], + ], + min_flow_bandwidth=r.min_flow_bandwidth, + reoptimize=r.reoptimize, + diminishing=None + if r.diminishing is None + else [r.diminishing.window, float(r.diminishing.fraction)], + ) + sel = cfg.selection + return { + "routing": routing, + "placement": cfg.placement, + "admission": cfg.admission, + "selection": { + "multipath": sel.multipath, + "multi_edge": sel.multi_edge, + "tie_break": sel.tie_break, + "priority": sel.priority, + }, + } + + +def elig_json(elig): + if elig is None: + return None + return { + "nodes": [v for v, ok in enumerate(elig.node_allowed) if not ok], + "edges": [e for e, ok in enumerate(elig.edge_allowed) if not ok], + } + + +# ------------------------------------------------------------------ the shim + + +class RecFlowGraph(BaseFlowGraph): + def __init__(self, g, residual=None) -> None: + op = { + "op": "ledger", + "graph": REC.graph_id(g), + "baseline": None if residual is None else list(residual), + } + try: + super().__init__(g, residual) + except ContractError: + REC.ops.append({**op, "error": True}) + raise + REC.ledgers.append(self) + REC.ops.append({**op, "id": len(REC.ledgers) - 1, "error": False}) + + def copy(self): + op = {"op": "copy", "ledger": REC.ledger_id(self)} + try: + other = super().copy() + except ContractError: + REC.ops.append( + {**op, "error": True, "expect": {"ledger": ledger_state(self)}} + ) + raise + REC.ledgers.append(other) + REC.ops.append( + { + **op, + "id": len(REC.ledgers) - 1, + "error": False, + "expect": {"ledger": ledger_state(other)}, + } + ) + return other + + def reset(self, residual=None) -> None: + op = { + "op": "reset", + "ledger": REC.ledger_id(self), + "baseline": None if residual is None else list(residual), + } + try: + super().reset(residual) + except ContractError: + REC.ops.append( + {**op, "error": True, "expect": {"ledger": ledger_state(self)}} + ) + raise + REC.ops.append({**op, "error": False, "expect": {"ledger": ledger_state(self)}}) + + +def make_rec_policy(P): + Base = P.FlowPolicy + + class RecPolicy(Base): + def __init__( + self, fg, sources, destinations, cfg, elig=None, cache=None + ) -> None: + op = { + "op": "policy", + "ledger": REC.ledger_id(fg), + "sources": jsonable(sources), + "destinations": jsonable(destinations), + "config": config_json(cfg), + "elig": elig_json(elig), + } + try: + super().__init__(fg, sources, destinations, cfg, elig, cache) + except ContractError: + REC.ops.append({**op, "error": True}) + raise + REC.policies.append(self) + REC.ops.append( + { + **op, + "id": len(REC.policies) - 1, + "error": False, + "expect": {"policy": policy_state(self)}, + } + ) + + def place(self, volume, outputs=None): + op = { + "op": "place", + "policy": REC.policy_id(self), + "volume": "inf" + if isinstance(volume, float) and math.isinf(volume) and volume > 0 + else jsonable(volume), + "outputs": None + if outputs is None + else [outputs.edge_flows, outputs.residual, outputs.bottleneck], + "cap": P.MAX_FLOWS_PER_CALL, + } + try: + r = super().place(volume, outputs) + except ContractError: + REC.ops.append( + {**op, "error": True, "expect": {"ledger": ledger_state(self.fg)}} + ) + raise + REC.ops.append( + { + **op, + "error": False, + "expect": { + "result": jsonable(r.to_json()), + "trace": norm(jsonable(r.trace)), + "ledger": ledger_state(self.fg), + "policy": policy_state(self), + }, + } + ) + return r + + def remove(self) -> None: + super().remove() + REC.ops.append( + { + "op": "remove", + "policy": REC.policy_id(self), + "error": False, + "expect": { + "ledger": ledger_state(self.fg), + "policy": policy_state(self), + }, + } + ) + + def destroy(self) -> None: + super().destroy() + REC.ops.append( + { + "op": "destroy", + "policy": REC.policy_id(self), + "error": False, + "expect": {"ledger": ledger_state(self.fg)}, + } + ) + + return RecPolicy + + +def export() -> dict: + global REC + ledger.FlowGraph = RecFlowGraph + import policy as P + + P.FlowGraph = RecFlowGraph + P.FlowPolicy = make_rec_policy(P) + from fixtures import FIXTURES + from run_fixtures import run_one + + for directory, names in zip((P2, HERE / "p1_amount"), CLOSURE, strict=True): + for name in names: + origin = Path(sys.modules[name].__file__).resolve() + if origin != directory / f"{name}.py": + raise AssertionError(f"{name} came from {origin}, not the prototypes") + if any(m.split(".")[0] in ("netgraph_core", "_netgraph_core") for m in sys.modules): + raise AssertionError("the reference imported the build") + out = [] + for fx in FIXTURES: + REC = Recorder() + data = run_one(fx) + if not data["passed"]: + raise AssertionError(f"{fx.name}: the prototype fails its own fixture") + out.append({"name": fx.name, "graphs": REC.graphs, "ops": REC.ops}) + return { + "format": "p2-fixtures/1", + "source": "prototype 2 of the design tree dev/design/2026-10-streamline (untracked by " + "design): prototypes/p2_transaction in integer units (APPROACH 9), exported by " + "gates/1c/export_fixture_data.py", + "fixtures": out, + } + + +def main(argv=None) -> int: + ap = argparse.ArgumentParser(description=__doc__.split("\n\n")[0]) + ap.add_argument("--check", action="store_true") + ap.add_argument("--out", type=Path, default=OUT) + args = ap.parse_args(argv) + text = json.dumps(export(), separators=(",", ":"), sort_keys=False) + "\n" + if args.check: + same = args.out.exists() and args.out.read_text() == text + print("policy fixture data:", "identical" if same else "DIFFERS") + return 0 if same else 1 + args.out.parent.mkdir(parents=True, exist_ok=True) + args.out.write_text(text) + data = json.loads(text) + n_ops = sum(len(f["ops"]) for f in data["fixtures"]) + print( + f"wrote {args.out}: {len(data['fixtures'])} fixtures, {n_ops} operations, {len(text)} bytes" + ) + return 0 + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/tests/reference/policy/p1_amount/apportion.py b/tests/reference/policy/p1_amount/apportion.py new file mode 100644 index 0000000..744f02b --- /dev/null +++ b/tests/reference/policy/p1_amount/apportion.py @@ -0,0 +1,131 @@ +"""House-monotone integer apportionment (APPROACH revision 24, section 2.1). + +* ``round_robin(I, k)``: EqualBalanced and Lossy EqualBalanced. ``floor(I / k)`` + each, one more unit to the first ``I mod k`` members (members are listed in + ascending EdgeId). +* ``highest_averages(I, w)``: Weighted and Lossy Weighted, the Jefferson / D'Hondt + rule with EdgeId ties. Closed-form evaluator: every member starts at its lower + quota ``floor(I * w_m / W)`` (exactly the quotients ``w_m / j >= W / I``), then the + remaining ``I - sum`` units (fewer than ``k``) go one at a time by a heap of the + exact next quotients ``w_m / (a_m + 1)``, ties by ascending EdgeId. Quotients are + compared by cross-multiplication; every product is checked to stay below 2^127 + (the 128-bit claim of the contract). +* ``highest_averages_slow``: the sequential definition, for tests only. +* ``hamilton``: largest remainders, the rejected rule (review-13 D1), controls only. +""" + +from __future__ import annotations + +import heapq +from dataclasses import dataclass, field + +PRODUCT_LIMIT = 1 << 127 + + +@dataclass +class ApportionStats: + """Work counters of the closed-form evaluator (diagnostics).""" + + calls: int = 0 + heap_pops: int = 0 + max_product_bits: int = 0 + pops_per_call: list[int] = field(default_factory=list) + + +STATS = ApportionStats() + + +def round_robin(total: int, k: int) -> list[int]: + if k <= 0: + raise ValueError("round robin over no member") + if total < 0: + raise ValueError("negative amount") + base, extra = divmod(total, k) + return [base + (1 if i < extra else 0) for i in range(k)] + + +def _cross(a: int, b: int) -> int: + p = a * b + if p >= PRODUCT_LIMIT: + raise OverflowError("quotient comparison exceeds 128 bits") + bl = p.bit_length() + if bl > STATS.max_product_bits: + STATS.max_product_bits = bl + return p + + +class _Quotient: + """Heap entry for ``w / d`` with ascending-EdgeId ties (index = member rank).""" + + __slots__ = ("w", "d", "i") + + def __init__(self, w: int, d: int, i: int) -> None: + self.w, self.d, self.i = w, d, i + + def __lt__(self, other: _Quotient) -> bool: + # Larger quotient first; equal quotients by lower member rank (EdgeId). + left = _cross(self.w, other.d) + right = _cross(other.w, self.d) + if left != right: + return left > right + return self.i < other.i + + +def highest_averages(total: int, weights: list[int]) -> list[int]: + k = len(weights) + if k == 0: + raise ValueError("highest averages over no member") + if total < 0: + raise ValueError("negative amount") + if any(w <= 0 for w in weights): + raise ValueError("weights must be positive") + STATS.calls += 1 + wsum = sum(weights) + alloc = [_cross(total, w) // wsum for w in weights] + left = total - sum(alloc) + assert 0 <= left < k, (total, weights, alloc) + heap = [_Quotient(w, alloc[i] + 1, i) for i, w in enumerate(weights)] + heapq.heapify(heap) + pops = 0 + for _ in range(left): + q = heapq.heappop(heap) + pops += 1 + alloc[q.i] += 1 + heapq.heappush(heap, _Quotient(q.w, alloc[q.i] + 1, q.i)) + STATS.heap_pops += pops + STATS.pops_per_call.append(pops) + return alloc + + +def highest_averages_slow(total: int, weights: list[int]) -> list[int]: + """Sequential D'Hondt: each unit to the member maximising ``w / (a + 1)``.""" + alloc = [0] * len(weights) + for _ in range(total): + best = 0 + for i in range(1, len(weights)): + lhs = weights[i] * (alloc[best] + 1) + rhs = weights[best] * (alloc[i] + 1) + if lhs > rhs: + best = i + alloc[best] += 1 + return alloc + + +def hamilton(total: int, weights: list[int]) -> list[int]: + """Largest remainders (rejected; not house-monotone: [1, 3, 3] at 3 and 4).""" + wsum = sum(weights) + alloc = [total * w // wsum for w in weights] + order = sorted(range(len(weights)), key=lambda i: (-(total * weights[i] % wsum), i)) + for i in order[: total - sum(alloc)]: + alloc[i] += 1 + return alloc + + +def split(rule: str, total: int, weights: list[int] | None, k: int) -> list[int]: + """The node split of a kernel: ``"rr"`` or ``"ha"`` (weights in member order).""" + if rule == "rr": + return round_robin(total, k) + if rule == "ha": + assert weights is not None and len(weights) == k + return highest_averages(total, weights) + raise ValueError(f"unknown split rule {rule!r}") diff --git a/tests/reference/policy/p1_amount/certify.py b/tests/reference/policy/p1_amount/certify.py new file mode 100644 index 0000000..6d72abf --- /dev/null +++ b/tests/reference/policy/p1_amount/certify.py @@ -0,0 +1,273 @@ +"""Independent checks of the flow core (APPROACH revision 24, section 2.2). + +Nothing here imports ``flowcore``: the exhaustive minimum-cost function (tier a), +an independent complete solver (tier b: successive shortest paths by Bellman-Ford on +the residual, no potentials, no Dinic, its own arc order), and ``check_solve``, the +certificate: feasibility, conservation with supply and demand, the attained value, +the full residual closure, ``min_cut`` presence and value, dual feasibility inside +the closure with the ``NEVER_REACHED`` sentinel tested first, the virtual-terminal +convention, the curve shape and moment, and the complete curve on the independent +domain ``0..min(cap, F_max)`` at the union of both breakpoint sets. +""" + +from __future__ import annotations + +from collections import deque +from fractions import Fraction +from itertools import product + +NEVER_REACHED = -1 +VIRTUAL = (1 << 63) - 2 + + +def exhaustive(g, view, sources, dests, edges=None, want_flows=False): + """Minimum cost of every integer value; optionally every optimal flow.""" + edges = list(range(g.num_edges)) if edges is None else sorted(edges) + S, D = set(sources), set(dests) + best: dict[int, int] = {} + argmin: dict[int, list[tuple[int, ...]]] = {} + for flow in product(*(range(view[e] + 1) for e in edges)): + bal = [0] * g.num_nodes + for e, x in zip(edges, flow, strict=True): + bal[g.src[e]] -= x + bal[g.dst[e]] += x + ok = True + for v in range(g.num_nodes): + if v in S: + ok = bal[v] <= 0 + elif v in D: + ok = bal[v] >= 0 + else: + ok = bal[v] == 0 + if not ok: + break + if not ok: + continue + value = -sum(bal[s] for s in S) + cost = sum(g.cost[e] * x for e, x in zip(edges, flow, strict=True)) + full = [0] * g.num_edges + for e, x in zip(edges, flow, strict=True): + full[e] = x + if value not in best or cost < best[value]: + best[value] = cost + argmin[value] = [tuple(full)] + elif cost == best[value] and want_flows: + argmin[value].append(tuple(full)) + assert set(best) == set(range(max(best) + 1)) + return (best, argmin) if want_flows else best + + +def independent_curve(g, view, sources, dests, edges=None): + """Convex breakpoints ``[(value, cost)]`` by Bellman-Ford augmentation.""" + edges = list(range(g.num_edges)) if edges is None else sorted(edges) + n = g.num_nodes + s_star, t_star = n, n + 1 + arcs = [] # [u, v, cap, cost] + for e in edges: + arcs.append([g.src[e], g.dst[e], view[e], g.cost[e]]) + for s in sources: + arcs.append([s_star, s, VIRTUAL, 0]) + for d in dests: + arcs.append([d, t_star, VIRTUAL, 0]) + flow = [0] * len(arcs) + points = [(0, 0)] + while True: + dist: list[int | None] = [None] * (n + 2) + dist[s_star] = 0 + parent: dict[int, tuple[int, int]] = {} + for _ in range(n + 2): + changed = False + for i, (u, v, c, w) in enumerate(arcs): + if flow[i] < c and dist[u] is not None: + nd = dist[u] + w + if dist[v] is None or nd < dist[v]: + dist[v] = nd + parent[v] = (i, 1) + changed = True + if flow[i] > 0 and dist[v] is not None: + nd = dist[v] - w + if dist[u] is None or nd < dist[u]: + dist[u] = nd + parent[u] = (i, -1) + changed = True + if not changed: + break + if dist[t_star] is None: + return points + path = [] + v = t_star + while v != s_star: + i, sign = parent[v] + path.append((i, sign)) + v = arcs[i][0] if sign == 1 else arcs[i][1] + amount = min(arcs[i][2] - flow[i] if sign == 1 else flow[i] for i, sign in path) + for i, sign in path: + flow[i] += sign * amount + x, c = points[-1] + points.append((x + amount, c + amount * dist[t_star])) + + +def value_at(points, x): + for (a, c), (b, d) in zip(points, points[1:], strict=False): + if a <= x <= b: + return Fraction(c) + Fraction(d - c, b - a) * (x - a) + if points and x == points[-1][0]: + return Fraction(points[-1][1]) + raise ValueError(f"value {x} outside the curve domain") + + +def curve_points(curve): + pts = [(0, 0)] + for c, u in curve: + pts.append((pts[-1][0] + u, pts[-1][1] + c * u)) + return pts + + +def check_solve(g, view, sources, dests, cap, sol, *, edges=None, tier="b"): + """Return the list of failed certificate clauses (empty when certified).""" + fails: list[str] = [] + active = set(range(g.num_edges)) if edges is None else set(edges) + S, D = sorted(set(sources)), sorted(set(dests)) + f = sol["edge_flows"] + placed = sol["placed"] + pi = sol["potentials"] + curve = [tuple(t) for t in sol["cost_distribution"]] + for e in range(g.num_edges): + if e not in active and f[e]: + fails.append(f"flow on edge {e} outside the view") + if not 0 <= f[e] <= view[e]: + fails.append(f"edge {e}: flow {f[e]} outside [0, {view[e]}]") + bal = [0] * g.num_nodes + for e in range(g.num_edges): + bal[g.src[e]] -= f[e] + bal[g.dst[e]] += f[e] + supply = {s: -bal[s] for s in S} + inflow = {d: bal[d] for d in D} + for v in range(g.num_nodes): + if v in supply: + if supply[v] < 0: + fails.append(f"source {v} absorbs flow") + elif v in inflow: + if inflow[v] < 0: + fails.append(f"destination {v} emits flow") + elif bal[v] != 0: + fails.append(f"conservation at node {v}") + if sum(supply.values()) != placed or sum(inflow.values()) != placed: + fails.append("value differs from supply or inflow") + if cap is not None and not 0 <= placed <= cap: + fails.append("placed outside [0, cap]") + if cap == 0: + if pi != [NEVER_REACHED] * g.num_nodes: + fails.append("zero cap: potentials must all be NEVER_REACHED") + if curve or sol["min_cut"] is not None or any(sol["counters"].values()): + fails.append("zero cap: empty curve, min_cut None, counters 0") + return fails + # full residual closure of the super-source + n = g.num_nodes + s_star, t_star = n, n + 1 + out: list[list[tuple[int, int, int]]] = [[] for _ in range(n + 2)] + for e in active: + u, v = g.src[e], g.dst[e] + if f[e] < view[e]: + out[u].append((v, g.cost[e], e)) + if f[e] > 0: + out[v].append((u, -g.cost[e], e)) + for s in S: + out[s_star].append((s, 0, -1)) + if supply[s] > 0: + out[s].append((s_star, 0, -1)) + for d in D: + out[d].append((t_star, 0, -1)) + if inflow[d] > 0: + out[t_star].append((d, 0, -1)) + seen = set(S) # seeded at the real sources (revision 20) + q = deque(S) + while q: + u = q.popleft() + for v, _w, _e in out[u]: + if v not in seen: + seen.add(v) + q.append(v) + connected = t_star in seen + if cap is None and connected: + fails.append("uncapped solve left the destinations connected") + if cap is not None and placed != cap and connected: + fails.append("attained value: placed < cap with a residual path left") + mc = sol["min_cut"] + if connected: + if mc is not None: + fails.append("min_cut present on a connected (non-maximal) solve") + else: + expect = sorted( + e + for e in active + if g.src[e] in seen and g.dst[e] not in seen and view[e] > 0 + ) + if mc is None: + fails.append("min_cut missing on a maximal solve") + elif sorted(mc) != expect or list(mc) != sorted(mc): + fails.append(f"min_cut {mc} differs from the closure cut {expect}") + if sum(view[e] for e in expect) != placed: + fails.append("cut value differs from placed") + # dual feasibility inside the closure (sentinel tested before arithmetic) + for v in range(n): + if v in seen and pi[v] == NEVER_REACHED: + fails.append(f"closure vertex {v} holds NEVER_REACHED") + for s in S: + if s in seen and pi[s] != NEVER_REACHED and pi[s] != 0: + fails.append(f"reached root {s} has potential {pi[s]}") + for u in range(n): + if u not in seen or pi[u] == NEVER_REACHED: + continue + for v, w, _e in out[u]: + if v >= n or v not in seen or pi[v] == NEVER_REACHED: + continue + if w + pi[u] - pi[v] < 0: + fails.append(f"negative reduced cost on arc {u}->{v}") + reached = [d for d in D if pi[d] != NEVER_REACHED] + if reached: + pt = min(pi[d] for d in reached) + for d in reached: + if inflow[d] > 0 and pi[d] != pt: + fails.append(f"destination {d} with inflow: potential {pi[d]} != {pt}") + if pi[d] < pt: + fails.append("destination potential below pi(t*)") + elif placed: + fails.append("flow delivered but no destination reached") + # curve shape and moment + if any(u <= 0 for _c, u in curve): + fails.append("curve volume not positive") + if any(b[0] <= a[0] for a, b in zip(curve, curve[1:], strict=False)): + fails.append("curve costs not strictly increasing") + if sum(u for _c, u in curve) != placed: + fails.append("curve total differs from placed") + if sum(c * u for c, u in curve) != sum( + g.cost[e] * f[e] for e in range(g.num_edges) + ): + fails.append("curve moment differs from the flow cost") + # complete curve on the independent domain + pts = curve_points(curve) + if tier == "a": + best = exhaustive(g, view, S, D, edges=active) + fmax = max(best) + top = fmax if cap is None else min(cap, fmax) + if placed != top: + fails.append(f"placed {placed} != min(cap, F_max) = {top}") + for x in range(min(top, placed) + 1): + if value_at(pts, x) != best[x]: + fails.append(f"curve differs from the exhaustive optimum at {x}") + break + else: + ref = independent_curve(g, view, S, D, edges=active) + fmax = ref[-1][0] + top = fmax if cap is None else min(cap, fmax) + if placed != top: + fails.append(f"placed {placed} != min(cap, F_max) = {top}") + xs = {x for x, _ in pts} | {x for x, _ in ref} + for x in sorted(xs): + if x > min(top, placed): + continue + if value_at(pts, x) != value_at(ref, x): + fails.append(f"curve differs from the independent solver at {x}") + break + return fails diff --git a/tests/reference/policy/p1_amount/flowcore.py b/tests/reference/policy/p1_amount/flowcore.py new file mode 100644 index 0000000..ec3eada --- /dev/null +++ b/tests/reference/policy/p1_amount/flowcore.py @@ -0,0 +1,367 @@ +"""The one integer minimum-cost flow core (APPROACH revision 24, section 2.2). + +One objective on every view: minimum cost for the maximum value attainable under the +value cap. Successive shortest paths with potentials and blocking flows: each tier +runs Dijkstra on reduced costs to completion over the reachable residual (from the +super-source, through the super-sink and onward), adds the distances to the +potentials of the vertices it settles, then drains the zero-reduced-cost admissible +subgraph by Dinic phases (BFS levels, DFS with current-arc pointers) until no +admissible augmenting path remains or the cap is reached; then the next tier. + +Arc identity: every edge is its own arc. At a node the forward arcs of its +out-edges and the reverse arcs of its in-edges are visited in one sequence ordered +by ascending EdgeId (a self-loop's forward arc before its reverse arc); at a real +endpoint node its virtual arc comes first; the super-source visits its arcs by +ascending source NodeId and the super-sink by ascending destination NodeId. +Virtual arcs cost 0 and carry ``2^63 - 2`` units (never saturated). Every solve starts from zero flow +on the view, so potentials 0 are valid. + +``arc_order`` and ``arc_rank`` are mutant switches for the adjacency-order controls +only: ``"interleaved"`` is the contract and ``"forward_first"`` visits every forward +arc before any reverse arc; ``arc_rank[e]`` replaces the EdgeId as the sort key +(for example the old global ``(cost, src, dst)`` rank of layout B). +""" + +from __future__ import annotations + +import heapq +from collections import deque +from dataclasses import dataclass, field + +from graph import Eligibility, Graph, check_disjoint, check_node_set +from units import ( + INTERNAL_CAP_MAX, + NEVER_REACHED, + VIRTUAL_CAP, + ContractError, +) + +COUNTER_NAMES = ( + "dijkstra_runs", + "dijkstra_pops", + "settled", + "arc_scans", + "dinic_phases", + "augmentations", +) + + +@dataclass +class FlowSolve: + """The private payload of ``_place_global_units`` plus diagnostics.""" + + placed: int + cost_distribution: list[tuple[int, int]] + edge_flows: list[int] + min_cut: list[int] | None + potentials: list[int] + counters: dict[str, int] + # Diagnostics (not payload fields): per-source supply, per-destination inflow, + # the internal super-sink potential, the full residual closure, tier traces. + supply: dict[int, int] = field(default_factory=dict) + inflow: dict[int, int] = field(default_factory=dict) + pi_sink: int | None = None + closure: list[int] = field(default_factory=list) + sink_in_closure: bool = False + tiers: list[dict] = field(default_factory=list) + + def payload(self) -> dict: + return { + "placed": self.placed, + "cost_distribution": [list(t) for t in self.cost_distribution], + "edge_flows": list(self.edge_flows), + "min_cut": None if self.min_cut is None else list(self.min_cut), + "potentials": list(self.potentials), + "counters": dict(self.counters), + } + + +def place_global_units( + g: Graph, + view, + sources, + destinations, + elig: Eligibility | None, + cap: int | None, +) -> FlowSolve: + """The recorder's private entry point: validated, whole eligible graph.""" + return solve(g, view, sources, destinations, cap, elig=elig) + + +def _validate(g, view, sources, destinations, cap, elig): + if len(view) != g.num_edges: + raise ContractError("view length differs from the edge count") + for e, x in enumerate(view): + if not isinstance(x, int) or isinstance(x, bool): + raise ContractError("view entries must be integer units") + if not 0 <= x <= g.capacity[e]: + raise ContractError(f"view[{e}] = {x} outside [0, capacity]") + s = check_node_set(g, sources, "sources") + d = check_node_set(g, destinations, "destinations") + check_disjoint(s, d) + if cap is not None: + if not isinstance(cap, int) or isinstance(cap, bool): + raise ContractError("cap must be an int or None") + if not 0 <= cap <= INTERNAL_CAP_MAX: + raise ContractError("cap outside [0, 2^63 - 2]") + if elig is not None: + elig.check(g) + return s, d + + +def solve( + g: Graph, + view, + sources, + destinations, + cap: int | None, + *, + edges=None, + elig: Eligibility | None = None, + arc_order: str = "interleaved", + arc_rank=None, + trace: bool = False, +) -> FlowSolve: + """Minimum-cost flow of value ``min(cap, max)`` on ``view`` restricted to ``edges``.""" + srcs, dsts = _validate(g, view, sources, destinations, cap, elig) + n = g.num_nodes + S, T = n, n + 1 + allowed = None if elig is None else elig.edge_allowed + node_ok = None if elig is None else elig.node_allowed + if edges is None: + edges = range(g.num_edges) + active = sorted( + {e for e in edges if allowed is None or allowed[e]}, + ) + srcs = [s for s in srcs if node_ok is None or node_ok[s]] + dsts = [d for d in dsts if node_ok is None or node_ok[d]] + + counters = dict.fromkeys(COUNTER_NAMES, 0) + edge_flows = [0] * g.num_edges + if cap == 0: + # Zero cap: no Dijkstra, every potential NEVER_REACHED, an empty curve, + # min_cut None (the cap was attained), every counter 0. + return FlowSolve( + placed=0, + cost_distribution=[], + edge_flows=edge_flows, + min_cut=None, + potentials=[NEVER_REACHED] * n, + counters=counters, + supply=dict.fromkeys(srcs, 0), + inflow=dict.fromkeys(dsts, 0), + ) + + # ---- arcs: index j and j ^ 1 are a forward/reverse pair + head: list[int] = [] + res: list[int] = [] + acost: list[int] = [] + aedge: list[int] = [] # edge id, or -1 for virtual arcs + + def add(u: int, v: int, c: int, w: int, e: int) -> int: + j = len(head) + head.extend((v, u)) + res.extend((c, 0)) + acost.extend((w, -w)) + aedge.extend((e, e)) + return j + + tail: list[int] = [] + real_arcs: list[list[tuple]] = [[] for _ in range(n)] + edge_arc: dict[int, int] = {} + if arc_order not in ("interleaved", "forward_first"): + raise ValueError(f"unknown arc order {arc_order!r}") + for e in active: + u, v = g.src[e], g.dst[e] + j = add(u, v, view[e], g.cost[e], e) + tail.extend((u, v)) + edge_arc[e] = j + key = e if arc_rank is None else arc_rank[e] + if arc_order == "forward_first": + real_arcs[u].append((0, key, 0, j)) + real_arcs[v].append((1, key, 1, j + 1)) + else: + real_arcs[u].append((key, 0, j)) + real_arcs[v].append((key, 1, j + 1)) + src_arc: dict[int, int] = {} + for s in srcs: + j = add(S, s, VIRTUAL_CAP, 0, -1) + tail.extend((S, s)) + src_arc[s] = j + dst_arc: dict[int, int] = {} + for d in dsts: + j = add(d, T, VIRTUAL_CAP, 0, -1) + tail.extend((d, T)) + dst_arc[d] = j + adj: list[list[int]] = [[] for _ in range(n + 2)] + adj[S] = [src_arc[s] for s in srcs] + adj[T] = [dst_arc[d] + 1 for d in dsts] + for u in range(n): + first = [] + if u in src_arc: + first.append(src_arc[u] + 1) + if u in dst_arc: + first.append(dst_arc[u]) + adj[u] = first + [item[-1] for item in sorted(real_arcs[u])] + + # A positive cap always runs the solver; the clamp of the internal domain at the + # sources' view out-capacity only bounds the arithmetic (Python ints are exact), + # so the loop runs on the input cap (revision 20). + limit = cap + + pi = [0] * (n + 2) + ever = [False] * (n + 2) + total = 0 + curve: list[tuple[int, int]] = [] + tiers: list[dict] = [] + + def reduced(j: int) -> int: + return acost[j] + pi[tail[j]] - pi[head[j]] + + while limit is None or total < limit: + # ---- Dijkstra on reduced costs, to completion over the reachable residual + counters["dijkstra_runs"] += 1 + dist: list[int | None] = [None] * (n + 2) + dist[S] = 0 + heap = [(0, S)] + settled_now: list[int] = [] + while heap: + du, u = heapq.heappop(heap) + counters["dijkstra_pops"] += 1 + if du != dist[u]: + continue + settled_now.append(u) + counters["settled"] += 1 + for j in adj[u]: + counters["arc_scans"] += 1 + if res[j] <= 0: + continue + v = head[j] + rc = reduced(j) + assert rc >= 0, ("negative reduced cost", j, rc) + nd = du + rc + dv = dist[v] + if dv is None or nd < dv: + dist[v] = nd + heapq.heappush(heap, (nd, v)) + for u in settled_now: + pi[u] += dist[u] + ever[u] = True + if dist[T] is None: + break + tier_cost = pi[T] - pi[S] + before = total + # ---- drain the admissible subgraph by Dinic phases + while limit is None or total < limit: + level = [-1] * (n + 2) + level[S] = 0 + q = deque([S]) + while q: + u = q.popleft() + for j in adj[u]: + counters["arc_scans"] += 1 + v = head[j] + if res[j] > 0 and level[v] < 0 and reduced(j) == 0: + level[v] = level[u] + 1 + q.append(v) + # every BFS level build counts, the last unsuccessful one of a tier included + # (revision 23) + counters["dinic_phases"] += 1 + if level[T] < 0: + break + cur = [0] * (n + 2) + while limit is None or total < limit: + path = _find_path(S, T, adj, cur, res, head, level, reduced, counters) + if path is None: + break + amount = min(res[j] for j in path) + if limit is not None: + amount = min(amount, limit - total) + for j in path: + res[j] -= amount + res[j ^ 1] += amount + total += amount + counters["augmentations"] += 1 + drained = total - before + assert drained > 0, "a successful Dijkstra drains at least one unit" + curve.append((tier_cost, drained)) + if trace: + tiers.append( + { + "cost": tier_cost, + "units": drained, + "edge_flows": { + e: res[edge_arc[e] + 1] for e in active if res[edge_arc[e] + 1] + }, + "counters": dict(counters), + } + ) + + for e in active: + edge_flows[e] = res[edge_arc[e] + 1] + # ---- full residual closure seeded at the real sources (reverse and virtual + # arcs included; revision 20) + seen = [False] * (n + 2) + for s in srcs: + seen[s] = True + q = deque(srcs) + while q: + u = q.popleft() + for j in adj[u]: + v = head[j] + if res[j] > 0 and not seen[v]: + seen[v] = True + q.append(v) + if seen[T]: + min_cut = None + else: + min_cut = sorted( + e for e in active if seen[g.src[e]] and not seen[g.dst[e]] and view[e] > 0 + ) + return FlowSolve( + placed=total, + cost_distribution=curve, + edge_flows=edge_flows, + min_cut=min_cut, + potentials=[pi[v] if ever[v] else NEVER_REACHED for v in range(n)], + counters=counters, + supply={s: res[src_arc[s] + 1] for s in srcs}, + inflow={d: res[dst_arc[d] + 1] for d in dsts}, + pi_sink=pi[T] if ever[T] else None, + closure=[v for v in range(n) if seen[v]], + sink_in_closure=seen[T], + tiers=tiers, + ) + + +def _find_path(S, T, adj, cur, res, head, level, reduced, counters): + """One augmenting path in the level graph (current-arc pointers kept).""" + stack = [S] + path: list[int] = [] + while stack: + u = stack[-1] + if u == T: + return path + advanced = False + arcs = adj[u] + while cur[u] < len(arcs): + j = arcs[cur[u]] + counters["arc_scans"] += 1 + v = head[j] + if res[j] > 0 and level[v] == level[u] + 1 and reduced(j) == 0: + stack.append(v) + path.append(j) + advanced = True + break + cur[u] += 1 + if not advanced: + stack.pop() + if path: + j = path.pop() + # The arc into the dead end fails: advance the parent's pointer. + cur[stack[-1]] += 1 + return None + + +def flow_cost(g: Graph, flows) -> int: + return sum(g.cost[e] * x for e, x in enumerate(flows)) diff --git a/tests/reference/policy/p1_amount/graph.py b/tests/reference/policy/p1_amount/graph.py new file mode 100644 index 0000000..6ed4b06 --- /dev/null +++ b/tests/reference/policy/p1_amount/graph.py @@ -0,0 +1,243 @@ +"""The one graph type in layout B' (APPROACH revision 24, sections 3 and 4). + +Construction arrays are in input coordinates. The public ``EdgeId`` is the rank of +the edge in the stable order ``(src, cost, dst, input)``; ``input_index()[e]`` is +the input position of ``e``. Every other per-edge array and id is in id +coordinates. The inverse permutation is the caller's (``input_to_id``). +""" + +from __future__ import annotations + +import itertools +from dataclasses import dataclass +from fractions import Fraction + +from units import LIMIT, ContractError, check_resolution + +_UID = itertools.count(1) + + +class Graph: + """StrictMultiDiGraph(num_nodes, src, dst, capacity_units, cost, resolution).""" + + def __init__(self, num_nodes, src, dst, capacity_units, cost, resolution): + q = check_resolution(resolution) + if not isinstance(num_nodes, int) or isinstance(num_nodes, bool): + raise ContractError("num_nodes must be an int") + if num_nodes < 0: + raise ContractError("num_nodes must be non-negative") + e = len(src) + if not (len(dst) == len(capacity_units) == len(cost) == e): + raise ContractError("edge arrays differ in length") + for name, arr in (("src", src), ("dst", dst)): + for x in arr: + if not isinstance(x, int) or isinstance(x, bool): + raise ContractError(f"{name} entries must be ints") + if not 0 <= x < num_nodes: + raise ContractError(f"{name} node {x} out of range") + for c in capacity_units: + if not isinstance(c, int) or isinstance(c, bool): + raise ContractError("capacity_units must be integer units") + if not 0 <= c < LIMIT: + raise ContractError(f"capacity {c} outside [0, 2^62)") + if sum(capacity_units) >= LIMIT: + raise ContractError("sum of capacities must be below 2^62 units") + for w in cost: + if not isinstance(w, int) or isinstance(w, bool): + raise ContractError("costs must be integers") + if w < 1: + raise ContractError(f"cost {w} rejected: costs are positive (rule 28)") + if sum(cost) >= LIMIT: + raise ContractError("sum of costs must be below 2^62") + order = sorted(range(e), key=lambda i: (src[i], cost[i], dst[i], i)) + self.uid = next(_UID) + self.q: Fraction = q + self.num_nodes = num_nodes + self.num_edges = e + self._input_index = tuple(order) + self.src = tuple(src[i] for i in order) + self.dst = tuple(dst[i] for i in order) + self.capacity = tuple(capacity_units[i] for i in order) + self.cost = tuple(cost[i] for i in order) + offsets = [0] * (num_nodes + 1) + for u in self.src: + offsets[u + 1] += 1 + for u in range(num_nodes): + offsets[u + 1] += offsets[u] + self.row_offsets = tuple(offsets) + # Reverse CSR in today's (cost, src, input) order; slots map to ids. + in_lists: list[list[int]] = [[] for _ in range(num_nodes)] + for eid in sorted( + range(e), key=lambda i: (self.cost[i], self.src[i], self._input_index[i]) + ): + in_lists[self.dst[eid]].append(eid) + in_off = [0] + slots: list[int] = [] + for v in range(num_nodes): + slots.extend(in_lists[v]) + in_off.append(len(slots)) + self.in_row_offsets = tuple(in_off) + self.in_adj_edge_index = tuple(slots) + self.max_cost = max(self.cost, default=0) + + # ------------------------------------------------------------ accessors + + def input_index(self) -> tuple[int, ...]: + return self._input_index + + def resolution(self) -> Fraction: + return self.q + + def out_ids(self, u: int) -> range: + return range(self.row_offsets[u], self.row_offsets[u + 1]) + + def in_ids(self, v: int) -> tuple[int, ...]: + """In-edge ids of ``v`` in reverse-CSR order ``(cost, src, input)``.""" + return self.in_adj_edge_index[ + self.in_row_offsets[v] : self.in_row_offsets[v + 1] + ] + + def eligibility(self, excluded_nodes=(), excluded_edges=()) -> Eligibility: + return Eligibility.build(self, excluded_nodes, excluded_edges) + + def edge_tuple(self, e: int) -> tuple[int, int, int, int]: + return (self.src[e], self.dst[e], self.capacity[e], self.cost[e]) + + +def input_to_id(g: Graph) -> list[int]: + """The caller's inverse permutation of ``input_index()`` (one O(E) scatter).""" + inv = [0] * g.num_edges + for eid, pos in enumerate(g.input_index()): + inv[pos] = eid + return inv + + +def graph_from_input(num_nodes, edges, resolution=1) -> Graph: + """Convenience: ``edges`` as ``(u, v, capacity_units, cost)`` in input order.""" + return Graph( + num_nodes, + [e[0] for e in edges], + [e[1] for e in edges], + [e[2] for e in edges], + [e[3] for e in edges], + resolution, + ) + + +@dataclass(frozen=True) +class Eligibility: + """Immutable static eligibility: dense node and edge bits, graph-bound.""" + + graph_uid: int + uid: int + node_allowed: tuple[bool, ...] + edge_allowed: tuple[bool, ...] + + @staticmethod + def build(g: Graph, excluded_nodes=(), excluded_edges=()) -> Eligibility: + xn = set() + for v in excluded_nodes: + if not isinstance(v, int) or not 0 <= v < g.num_nodes: + raise ContractError(f"excluded node {v} out of range") + xn.add(v) + xe = set() + for e in excluded_edges: + if not isinstance(e, int) or not 0 <= e < g.num_edges: + raise ContractError(f"excluded edge {e} out of range") + xe.add(e) + node_allowed = tuple(v not in xn for v in range(g.num_nodes)) + edge_allowed = tuple( + e not in xe and node_allowed[g.src[e]] and node_allowed[g.dst[e]] + for e in range(g.num_edges) + ) + uid = 0 if not xn and not xe else next(_UID) + return Eligibility(g.uid, uid, node_allowed, edge_allowed) + + def check(self, g: Graph) -> None: + if self.graph_uid != g.uid: + raise ContractError("foreign Eligibility") + + +def all_allowed(g: Graph, elig: Eligibility | None) -> Eligibility: + if elig is None: + return Eligibility.build(g) + elig.check(g) + return elig + + +def check_node_set(g: Graph, nodes, name: str) -> tuple[int, ...]: + """Normalise a root or endpoint set: duplicates removed, ids validated.""" + if isinstance(nodes, int): + nodes = (nodes,) + out = set() + for v in nodes: + if not isinstance(v, int) or isinstance(v, bool) or not 0 <= v < g.num_nodes: + raise ContractError(f"{name}: node {v!r} out of range") + out.add(v) + if not out: + raise ContractError(f"{name}: empty set") + return tuple(sorted(out)) + + +def check_disjoint(sources, destinations) -> None: + if set(sources) & set(destinations): + raise ContractError("a vertex in both endpoint sets is rejected (rule 13)") + + +def check_dag_edges(g: Graph, edges) -> tuple[int, ...]: + """A DAG given by its edge ids: range checked, no duplicates, acyclic.""" + seen = set() + for e in edges: + if not isinstance(e, int) or not 0 <= e < g.num_edges: + raise ContractError(f"DAG edge {e!r} out of range") + if e in seen: + raise ContractError(f"duplicate DAG edge {e}") + seen.add(e) + out_adj: dict[int, list[int]] = {} + indeg: dict[int, int] = {} + for e in seen: + u, v = g.src[e], g.dst[e] + out_adj.setdefault(u, []).append(v) + indeg[v] = indeg.get(v, 0) + 1 + indeg.setdefault(u, 0) + queue = [v for v, d in indeg.items() if d == 0] + count = 0 + while queue: + u = queue.pop() + count += 1 + for v in out_adj.get(u, ()): + indeg[v] -= 1 + if indeg[v] == 0: + queue.append(v) + if count != len(indeg): + raise ContractError("route structure is cyclic") + return tuple(sorted(seen)) + + +def path_edges(g: Graph, hops) -> tuple[int, ...]: + """``Path(g, hops)`` validation; returns the member edge ids (a DAG).""" + if not hops: + raise ContractError("empty path") + members: list[int] = [] + nodes: list[int] = [] + for hop in hops: + if not hop: + raise ContractError("empty hop") + for e in hop: + if not isinstance(e, int) or not 0 <= e < g.num_edges: + raise ContractError(f"path member {e!r} out of range") + uv = {(g.src[e], g.dst[e]) for e in hop} + if len(uv) != 1: + raise ContractError("members of a hop must share (u, v)") + (u, v) = next(iter(uv)) + if nodes and nodes[-1] != u: + raise ContractError("hops are not contiguous") + if not nodes: + nodes.append(u) + nodes.append(v) + members.extend(hop) + if len(set(members)) != len(members): + raise ContractError("duplicate path member") + if len(set(nodes)) != len(nodes): + raise ContractError("path repeats a node") + return tuple(sorted(members)) diff --git a/tests/reference/policy/p1_amount/kernels.py b/tests/reference/policy/p1_amount/kernels.py new file mode 100644 index 0000000..39441c1 --- /dev/null +++ b/tests/reference/policy/p1_amount/kernels.py @@ -0,0 +1,305 @@ +"""Placement kernels in units (APPROACH revision 24, sections 2.1, 7 and 16). + +A plan is frozen at creation: the flow's route (a DAG of edge ids), its split graph +(members pruned to the walks from the source to the destination set) and, for +Weighted, the weights. Membership: MaxFlow takes the route (the view decides); +Weighted by its ``priority`` axis (``Residual``: residual >= 1 unit on the creation +view; ``Capacity``: static capacity >= 1 unit); EqualBalanced by static capacity >= 1 +unit; Lossy keeps its kernel's membership. + +* ``alloc(plan, T)``: node by node in topological order, the source's inflow being + ``T``; round robin (EqualBalanced) or highest averages over the frozen weights + (Weighted) at every node; member-monotone in ``T`` (house monotonicity). +* ``t_max(plan, view)``: the largest ``T`` whose allocation fits every member, + by binary search over units (exact because the allocation is monotone). +* ``maxflow(...)``: the flow core restricted to the route on the view (one + objective: minimum cost for the maximum value under the cap). +* ``lossy(plan, offer, W)``: the offer split at every node by the kernel's rule, + each edge carrying ``min(share, residual)``, the rest a transit drop on that edge; + ``+inf`` injects every source member to its residual. +""" + +from __future__ import annotations + +from dataclasses import dataclass, field + +import flowcore +import search +from apportion import split +from graph import Graph +from units import ContractError + +MAX_FLOW = "MaxFlow" +WEIGHTED = "Weighted" +EQUAL_BALANCED = "EqualBalanced" +KERNELS = (MAX_FLOW, WEIGHTED, EQUAL_BALANCED) +LOSSLESS = "Lossless" +LOSSY = "Lossy" + + +def check_kernel(kernel: str, admission: str, priority: str) -> None: + if kernel not in KERNELS: + raise ContractError(f"unknown placement {kernel!r}") + if admission not in (LOSSLESS, LOSSY): + raise ContractError(f"unknown admission {admission!r}") + if admission == LOSSY and kernel == MAX_FLOW: + raise ContractError("Lossy is rejected with MaxFlow (rule 13)") + if kernel == WEIGHTED and priority == "Headroom": + raise ContractError("Weighted with priority = Headroom is rejected") + + +@dataclass +class Plan: + kernel: str + admission: str + src: int + dsts: tuple[int, ...] + route: tuple[int, ...] + members: tuple[int, ...] + weights: dict[int, int] | None + out: dict[int, list[int]] = field(default_factory=dict) + topo: list[int] = field(default_factory=list) + + @property + def rule(self) -> str: + return "ha" if self.kernel == WEIGHTED else "rr" + + def to_json(self) -> dict: + return { + "kernel": self.kernel, + "admission": self.admission, + "route": list(self.route), + "members": list(self.members), + "weights": None + if self.weights is None + else [[e, w] for e, w in sorted(self.weights.items())], + } + + +def prune(g: Graph, edges, src: int, dsts) -> tuple[int, ...]: + """Edges on some walk from ``src`` to the destination set (destinations terminal).""" + dset = set(dsts) + edges = [e for e in edges if g.src[e] not in dset] + fwd = {src} + changed = True + while changed: + changed = False + for e in edges: + if g.src[e] in fwd and g.dst[e] not in fwd: + fwd.add(g.dst[e]) + changed = True + back = set(dset) + changed = True + while changed: + changed = False + for e in edges: + if g.dst[e] in back and g.src[e] not in back: + back.add(g.src[e]) + changed = True + return tuple(sorted(e for e in edges if g.src[e] in fwd and g.dst[e] in back)) + + +def make_plan( + g: Graph, + kernel: str, + admission: str, + src: int, + dsts, + route, + priority: str, + view, +) -> Plan: + """Capture membership and weights on the creation view (frozen until reroute).""" + check_kernel(kernel, admission, priority) + route = tuple(sorted(route)) + dsts = tuple(sorted(dsts)) + weights = None + if kernel == MAX_FLOW: + cand = route + elif kernel == WEIGHTED: + if priority == "Residual": + cand = tuple(e for e in route if view[e] >= 1) + else: + cand = tuple(e for e in route if g.capacity[e] >= 1) + else: + cand = tuple(e for e in route if g.capacity[e] >= 1) + members = prune(g, cand, src, dsts) + if kernel == WEIGHTED: + weights = { + e: (view[e] if priority == "Residual" else g.capacity[e]) for e in members + } + plan = Plan(kernel, admission, src, dsts, route, members, weights) + out: dict[int, list[int]] = {} + indeg: dict[int, int] = {src: 0} + for e in members: + out.setdefault(g.src[e], []).append(e) + indeg[g.dst[e]] = indeg.get(g.dst[e], 0) + 1 + indeg.setdefault(g.src[e], 0) + for lst in out.values(): + lst.sort() + topo = [] + ready = sorted(v for v, d in indeg.items() if d == 0) + while ready: + u = ready.pop(0) + topo.append(u) + for e in out.get(u, ()): + v = g.dst[e] + indeg[v] -= 1 + if indeg[v] == 0: + ready.append(v) + ready.sort() + assert len(topo) == len(indeg), "split graph is cyclic" + plan.out, plan.topo = out, topo + return plan + + +def alloc(g: Graph, plan: Plan, total: int) -> dict[int, int]: + """Cumulative allocation ``alloc_i(T)`` of a Weighted or EqualBalanced plan.""" + if plan.kernel == MAX_FLOW: + raise ValueError("MaxFlow allocations come from the flow core") + if total == 0: + return {} + if not plan.members: + raise ValueError("an empty split graph carries nothing") + inflow = {plan.src: total} + out: dict[int, int] = {} + dset = set(plan.dsts) + for u in plan.topo: + amount = inflow.get(u, 0) + if u in dset or amount == 0: + continue + outs = plan.out.get(u, []) + assert outs, "a non-destination node of the split graph has members" + weights = None if plan.weights is None else [plan.weights[e] for e in outs] + for e, x in zip( + outs, split(plan.rule, amount, weights, len(outs)), strict=True + ): + if x: + out[e] = x + inflow[g.dst[e]] = inflow.get(g.dst[e], 0) + x + assert sum(inflow.get(d, 0) for d in dset) == total + return out + + +def fits(allocation: dict[int, int], view) -> bool: + return all(x <= view[e] for e, x in allocation.items()) + + +@dataclass +class TMax: + value: int + evaluations: int + upper: int + + +def t_max(g: Graph, plan: Plan, view) -> TMax: + """Largest ``T`` with ``alloc(T)`` within ``view`` on every member (exact).""" + if not plan.members: + return TMax(0, 0, 0) + hi = sum(view[e] for e in plan.out.get(plan.src, [])) + upper = hi + lo = 0 + evals = 0 + while lo < hi: + mid = (lo + hi + 1) // 2 + evals += 1 + if fits(alloc(g, plan, mid), view): + lo = mid + else: + hi = mid - 1 + return TMax(lo, evals, upper) + + +def maxflow( + g: Graph, + plan: Plan, + view, + cap: int | None, + *, + arc_order="interleaved", + arc_rank=None, + trace=False, +): + """The MaxFlow kernel: a fresh flow-core solve on the view over the route.""" + return flowcore.solve( + g, + view, + [plan.src], + plan.dsts, + cap, + edges=plan.members, + arc_order=arc_order, + arc_rank=arc_rank, + trace=trace, + ) + + +@dataclass +class LossyCall: + offered: int + injected: int + delivered: int + carried: dict[int, int] + drops: dict[int, int] + shares: dict[int, int] + + @property + def transit_drops(self) -> int: + return sum(self.drops.values()) + + @property + def source_drops(self) -> int: + return self.offered - self.delivered - self.transit_drops + + +def lossy(g: Graph, plan: Plan, offer: int | None, W) -> LossyCall: + """One Lossy offer on the working residual ``W`` (``None`` = ``+inf``).""" + carried: dict[int, int] = {} + drops: dict[int, int] = {} + shares: dict[int, int] = {} + src_outs = plan.out.get(plan.src, []) + if not src_outs: + offered = 0 if offer is None else offer + return LossyCall(offered, 0, 0, carried, drops, shares) + dset = set(plan.dsts) + inflow: dict[int, int] = {} + injected = 0 + for u in plan.topo: + if u in dset: + continue + outs = plan.out.get(u, []) + if u == plan.src: + if offer is None: + part = [W[e] for e in outs] + else: + weights = ( + None if plan.weights is None else [plan.weights[e] for e in outs] + ) + part = split(plan.rule, offer, weights, len(outs)) + injected = sum(part) + else: + amount = inflow.get(u, 0) + if amount == 0: + continue + weights = None if plan.weights is None else [plan.weights[e] for e in outs] + part = split(plan.rule, amount, weights, len(outs)) + for e, x in zip(outs, part, strict=True): + if not x: + continue + c = min(x, W[e]) + shares[e] = x + if c: + carried[e] = c + inflow[g.dst[e]] = inflow.get(g.dst[e], 0) + c + if x - c: + drops[e] = x - c + delivered = sum(inflow.get(d, 0) for d in dset) + offered = injected if offer is None else offer + return LossyCall(offered, injected, delivered, carried, drops, shares) + + +def route_cost(g: Graph, edges, src: int, dsts) -> int | None: + """Minimum walk cost of a route from ``src`` to the destination set.""" + d = search.distances(g, edges, [src]) + reach = [d[t] for t in dsts if d[t] is not None] + return min(reach) if reach else None diff --git a/tests/reference/policy/p1_amount/ledger.py b/tests/reference/policy/p1_amount/ledger.py new file mode 100644 index 0000000..a6379ba --- /dev/null +++ b/tests/reference/policy/p1_amount/ledger.py @@ -0,0 +1,300 @@ +"""The integer ledger ``FlowGraph`` (APPROACH revision 24, section 8). + +The ledger is mutated only through policies: ``_bind`` registers a policy, +``_commit`` exchanges a policy's records atomically (feasibility checked before any +mutation, new FlowIds assigned in creation order), ``_detach`` reverts a policy's +allocations and retires its ids (``remove()``), ``_orphan`` marks a destroyed +policy's records as orphans (readable, never changed again). ``reset`` and +``copy`` are rejected while a policy is bound. Ids are never reused. +""" + +from __future__ import annotations + +import itertools +from dataclasses import dataclass, field, replace + +from graph import Eligibility, Graph, check_node_set +from units import COUNTER_LIMIT, UNREACHABLE, ContractError + +_UID = itertools.count(1) + + +@dataclass +class FlowRecord: + flow_id: tuple[int, int] + owner: int + sources: tuple[int, ...] + destinations: tuple[int, ...] + placement: str + admission: str + bundle: tuple[int, ...] + route_cost: int + offered: int | None + delivered: int + edges: dict[int, int] = field(default_factory=dict) + drops: dict[int, int] = field(default_factory=dict) + + def snapshot(self) -> FlowRecord: + return replace(self, edges=dict(self.edges), drops=dict(self.drops)) + + def to_json(self, g: Graph | None = None) -> dict: + pos = None if g is None else g.input_index() + + def pairs(d): + return [ + [e, x] if pos is None else [e, pos[e], x] for e, x in sorted(d.items()) + ] + + return { + "flow_id": list(self.flow_id), + "owner": self.owner, + "sources": list(self.sources), + "destinations": list(self.destinations), + "placement": self.placement, + "admission": self.admission, + "bundle": list(self.bundle), + "bundle_input": None + if pos is None + else sorted(pos[e] for e in self.bundle), + "route_cost": None if self.route_cost == UNREACHABLE else self.route_cost, + "offered": self.offered, + "delivered": self.delivered, + "edges": pairs(self.edges), + "drops": pairs(self.drops), + } + + +@dataclass +class Draft: + """A record proposed by a policy for the commit (``flow_id`` None: new).""" + + flow_id: tuple[int, int] | None + sources: tuple[int, ...] + destinations: tuple[int, ...] + placement: str + admission: str + bundle: tuple[int, ...] + route_cost: int + offered: int | None + delivered: int + edges: dict[int, int] + drops: dict[int, int] + + +class FlowGraph: + def __init__(self, g: Graph, residual=None) -> None: + self.graph = g + self.uid = next(_UID) + self._baseline = self._check_baseline(residual) + self._records: dict[int, FlowRecord] = {} + self._next_id = 0 + self._next_owner = 0 + self._bound: set[int] = set() + self._orphans: set[int] = set() + self._retired: set[int] = set() + + def _check_baseline(self, residual) -> list[int]: + g = self.graph + if residual is None: + return list(g.capacity) + if len(residual) != g.num_edges: + raise ContractError("baseline length differs from the edge count") + out = [] + for e, r in enumerate(residual): + if not isinstance(r, int) or isinstance(r, bool): + raise ContractError("baselines are integer units (to_units first)") + if not 0 <= r <= g.capacity[e]: + raise ContractError(f"baseline[{e}] = {r} outside [0, capacity]") + out.append(r) + return out + + # ------------------------------------------------------------ observers + + def capacity_units(self) -> list[int]: + return list(self.graph.capacity) + + def baseline(self) -> list[int]: + return list(self._baseline) + + def allocated(self) -> list[int]: + out = [0] * self.graph.num_edges + for r in self._records.values(): + for e, x in r.edges.items(): + out[e] += x + return out + + def residual(self) -> list[int]: + return [b - a for b, a in zip(self._baseline, self.allocated(), strict=True)] + + def records(self) -> list[FlowRecord]: + return [self._records[i].snapshot() for i in sorted(self._records)] + + def record(self, flow_id) -> FlowRecord: + uid, i = flow_id + if uid != self.uid: + raise ContractError("FlowId of another ledger") + if i not in self._records: + raise ContractError(f"retired or unknown FlowId {flow_id}") + return self._records[i].snapshot() + + def next_flow_id(self) -> int: + return self._next_id + + def owner_records(self, owner: int) -> list[FlowRecord]: + return [r for i, r in sorted(self._records.items()) if r.owner == owner] + + def bottleneck(self, sources, elig: Eligibility | None = None) -> list[int]: + """Saturation diagnostic: allowed edges of capacity >= 1 leaving the set + reachable from the sources over forward arcs with residual >= 1.""" + g = self.graph + srcs = check_node_set(g, sources, "sources") + if elig is not None: + elig.check(g) + ok = (lambda e: True) if elig is None else (lambda e: elig.edge_allowed[e]) + node_ok = (lambda v: True) if elig is None else (lambda v: elig.node_allowed[v]) + res = self.residual() + seen = {s for s in srcs if node_ok(s)} + stack = list(seen) + while stack: + u = stack.pop() + for e in g.out_ids(u): + v = g.dst[e] + if ok(e) and res[e] >= 1 and v not in seen: + seen.add(v) + stack.append(v) + return [ + e + for e in range(g.num_edges) + if g.src[e] in seen + and g.dst[e] not in seen + and ok(e) + and g.capacity[e] >= 1 + ] + + # ------------------------------------------------------------ lifetime + + def bound_policies(self) -> int: + return len(self._bound) + + def reset(self, residual=None) -> None: + if self._bound: + raise ContractError("reset is rejected while a policy is bound") + baseline = self._check_baseline(residual) + self._retired.update(self._records) + self._records.clear() + self._orphans.clear() + self._baseline = baseline + + def copy(self) -> FlowGraph: + if self._bound: + raise ContractError("a ledger with bound policies cannot be copied") + other = FlowGraph.__new__(FlowGraph) + other.graph = self.graph + other.uid = next(_UID) + other._baseline = list(self._baseline) + other._records = { + i: replace(r.snapshot(), flow_id=(other.uid, i)) + for i, r in self._records.items() + } + other._next_id = self._next_id + other._next_owner = self._next_owner + other._bound = set() + other._orphans = set(self._orphans) + other._retired = set(self._retired) + return other + + # ------------------------------------------------------------ policy-private + + def _bind(self) -> int: + owner = self._next_owner + self._next_owner += 1 + self._bound.add(owner) + return owner + + def _orphan(self, owner: int) -> None: + """The policy was destroyed without ``remove()``: its records stay.""" + self._bound.discard(owner) + self._orphans.add(owner) + + def _detach(self, owner: int) -> list[int]: + """``remove()``: revert the owner's allocations and retire its ids.""" + ids = [i for i, r in self._records.items() if r.owner == owner] + for i in ids: + del self._records[i] + self._retired.add(i) + return ids + + def _commit(self, owner: int, drafts: list[Draft]) -> list[tuple[int, int]]: + """One atomic exchange of the owner's records; returns the new FlowIds.""" + if owner not in self._bound: + raise ContractError("commit by an unbound policy") + g = self.graph + current = {i for i, r in self._records.items() if r.owner == owner} + kept = {d.flow_id[1] for d in drafts if d.flow_id is not None} + if kept != current: + raise ContractError("a commit must carry every live record of the policy") + alloc = [0] * g.num_edges + for r in self._records.values(): + if r.owner != owner: + for e, x in r.edges.items(): + alloc[e] += x + for d in drafts: + for e, x in d.edges.items(): + if x < 0: + raise AssertionError("negative allocation in a commit") + alloc[e] += x + for x in d.drops.values(): + if not 0 <= x < COUNTER_LIMIT: + raise ContractError("drop counter outside the 128-bit domain") + if d.offered is not None and not 0 <= d.offered < COUNTER_LIMIT: + raise ContractError("offered counter outside the 128-bit domain") + for e in range(g.num_edges): + if alloc[e] > self._baseline[e]: + raise AssertionError(f"infeasible commit on edge {e}") + new_ids: list[tuple[int, int]] = [] + for d in drafts: + if d.flow_id is None: + i = self._next_id + self._next_id += 1 + fid = (self.uid, i) + new_ids.append(fid) + else: + fid = d.flow_id + i = fid[1] + self._records[i] = FlowRecord( + flow_id=fid, + owner=owner, + sources=d.sources, + destinations=d.destinations, + placement=d.placement, + admission=d.admission, + bundle=d.bundle, + route_cost=d.route_cost, + offered=d.offered, + delivered=d.delivered, + edges={e: x for e, x in d.edges.items() if x}, + drops={e: x for e, x in d.drops.items() if x}, + ) + return new_ids + + # ------------------------------------------------------------ state digest + + def state(self) -> dict: + g = self.graph + pos = g.input_index() + alloc = self.allocated() + res = self.residual() + by_input_alloc = [0] * g.num_edges + by_input_res = [0] * g.num_edges + for e in range(g.num_edges): + by_input_alloc[pos[e]] = alloc[e] + by_input_res[pos[e]] = res[e] + return { + "ledger_uid": self.uid, + "allocated_input": by_input_alloc, + "residual_input": by_input_res, + "records": [r.to_json(g) for r in self.records()], + "bound": sorted(self._bound), + "orphan_owners": sorted(self._orphans), + "next_flow_id": self._next_id, + } diff --git a/tests/reference/policy/p1_amount/search.py b/tests/reference/policy/p1_amount/search.py new file mode 100644 index 0000000..65e4216 --- /dev/null +++ b/tests/reference/policy/p1_amount/search.py @@ -0,0 +1,422 @@ +"""Search semantics of APPROACH revision 24, section 6, as internal routines. + +* member graph: static eligibility, capacity >= 1 unit, optional residual gating at + ``min_residual``; ``multi_edge = False`` keeps one member per ``(u, v)`` by + ``select_adjacency``: minimum cost, then (``PreferHigherPriority``) the highest + priority value, then the lowest EdgeId; +* the unique shortest-path DAG (positive costs, 2.4): tight edges; with targets the + walks from the roots to the nearest targets (anycast), one edge set for both + directions; +* the staged canonical single path: (1) the tight DAG of the pair, (2) under + ``PreferHigherPriority`` the best attainable bottleneck ``B*`` (capped by a Yen + prefix's bottleneck) and the DAG restricted to priority ``>= B*``, (3) one reverse + hop count ``h`` and a greedy walk taking the smallest tight edge whose head has + ``h(v) = h(u) - 1``; +* ``CostCeiling``: ``Absolute(c)`` or ``Stretch(f)`` against the static shortest cost, + compared exactly (``stretch_le`` never forms a product above 128 bits). + +Priority values: ``Residual`` = residual units, ``Capacity`` = static capacity +units, ``Headroom`` = the exact rational ``residual / capacity``. A search without a +residual reads static capacities for every priority (section 10). +""" + +from __future__ import annotations + +import heapq +import math +from collections import deque +from dataclasses import dataclass +from fractions import Fraction + +from graph import Eligibility, Graph, check_disjoint, check_node_set +from units import ContractError + +DETERMINISTIC = "Deterministic" +PREFER = "PreferHigherPriority" +PRIORITIES = ("Residual", "Capacity", "Headroom") + + +@dataclass(frozen=True) +class Selection: + """PathSelection {multipath, multi_edge, tie_break, priority}.""" + + multipath: bool = True + multi_edge: bool = True + tie_break: str = DETERMINISTIC + priority: str = "Residual" + + def __post_init__(self) -> None: + if self.tie_break not in (DETERMINISTIC, PREFER): + raise ContractError(f"unknown tie_break {self.tie_break!r}") + if self.priority not in PRIORITIES: + raise ContractError(f"unknown priority {self.priority!r}") + + +def priority_fn(g: Graph, priority: str, residual): + """Per-edge priority value (exact: ints or Fractions).""" + if residual is None or priority == "Capacity": + return lambda e: g.capacity[e] + if priority == "Residual": + return lambda e: residual[e] + if priority == "Headroom": + return lambda e: Fraction(residual[e], g.capacity[e]) + raise ContractError(f"unknown priority {priority!r}") + + +def check_residual(g: Graph, residual) -> None: + if residual is None: + return + if len(residual) != g.num_edges: + raise ContractError("residual length differs from the edge count") + for e, r in enumerate(residual): + if not isinstance(r, int) or isinstance(r, bool): + raise ContractError("residual entries must be integer units") + if not 0 <= r <= g.capacity[e]: + raise ContractError(f"residual[{e}] = {r} outside [0, capacity]") + + +def member_graph( + g: Graph, + elig: Eligibility | None, + selection: Selection, + residual=None, + min_residual: int = 1, +) -> list[int]: + """Eligible routable edges, collapsed per ``(u, v)`` when ``multi_edge`` is off.""" + if elig is not None: + elig.check(g) + if min_residual < 1: + raise ContractError("min_residual is at least 1 unit") + ok = [] + for e in range(g.num_edges): + if elig is not None and not elig.edge_allowed[e]: + continue + if g.capacity[e] < 1: + continue + if residual is not None and residual[e] < min_residual: + continue + ok.append(e) + if selection.multi_edge: + return ok + return collapse(g, ok, selection, residual) + + +def collapse(g: Graph, edges, selection: Selection, residual) -> list[int]: + prio = priority_fn(g, selection.priority, residual) + best: dict[tuple[int, int], int] = {} + for e in edges: + key = (g.src[e], g.dst[e]) + cur = best.get(key) + if cur is None or _select_key(g, e, selection, prio) < _select_key( + g, cur, selection, prio + ): + best[key] = e + return sorted(best.values()) + + +def _select_key(g, e, selection, prio): + if selection.tie_break == PREFER: + return (g.cost[e], -prio(e), e) + return (g.cost[e], 0, e) + + +def distances( + g: Graph, edges, roots, reverse: bool = False, excluded_nodes=frozenset() +) -> list[int | None]: + """Dijkstra over ``edges`` from (or, reverse, toward) the root set.""" + adj: list[list[tuple[int, int]]] = [[] for _ in range(g.num_nodes)] + for e in edges: + u, v = g.src[e], g.dst[e] + if u in excluded_nodes or v in excluded_nodes: + continue + if reverse: + adj[v].append((u, g.cost[e])) + else: + adj[u].append((v, g.cost[e])) + dist: list[int | None] = [None] * g.num_nodes + heap = [] + for r in roots: + if r in excluded_nodes: + continue + dist[r] = 0 + heap.append((0, r)) + heapq.heapify(heap) + while heap: + d, u = heapq.heappop(heap) + if d != dist[u]: + continue + for v, c in adj[u]: + nd = d + c + dv = dist[v] + if dv is None or nd < dv: + dist[v] = nd + heapq.heappush(heap, (nd, v)) + return dist + + +def full_dag(g: Graph, edges, roots, reverse: bool = False) -> list[int]: + """All tight edges over the nodes reached from (or toward) the roots.""" + d = distances(g, edges, roots, reverse) + out = [] + for e in edges: + u, v = g.src[e], g.dst[e] + if reverse: + if d[v] is not None and d[u] is not None and d[v] + g.cost[e] == d[u]: + out.append(e) + elif d[u] is not None and d[v] is not None and d[u] + g.cost[e] == d[v]: + out.append(e) + return sorted(out) + + +def tight_dag( + g: Graph, edges, sources, destinations, excluded_nodes=frozenset() +) -> tuple[int | None, list[int]]: + """Edges on the minimum-cost walks from the source set to the destination set. + + The walks of cost ``d* = min dist(S, D)``; destinations and sources are terminal + (positive costs). Identical for a forward search with targets and a reverse + search with the roles swapped (2.4). + """ + ds = distances(g, edges, sources, False, excluded_nodes) + dd = distances(g, edges, destinations, True, excluded_nodes) + reach = [ds[t] for t in destinations if ds[t] is not None] + if not reach: + return None, [] + dstar = min(reach) + out = [] + for e in edges: + u, v = g.src[e], g.dst[e] + if u in excluded_nodes or v in excluded_nodes: + continue + du, dv = ds[u], dd[v] + if du is not None and dv is not None and du + g.cost[e] + dv == dstar: + out.append(e) + return dstar, sorted(out) + + +@dataclass +class SinglePath: + edges: list[int] + cost: int + bottleneck: object # min priority value along the walk (None: Deterministic) + b_star: object # the stage-2 threshold (None: Deterministic) + + +def canonical_path( + g: Graph, + edges, + sources, + destinations, + prio=None, + prefix_cap=None, + excluded_nodes=frozenset(), +) -> SinglePath | None: + """The staged canonical single path (section 6) on the member edges ``edges``. + + ``prio`` is the priority function under ``PreferHigherPriority`` (``None`` for + ``Deterministic``); ``prefix_cap`` caps ``B*`` by a Yen root prefix's bottleneck. + """ + dstar, dag = tight_dag(g, edges, sources, destinations, excluded_nodes) + if dstar is None: + return None + dests = set(destinations) + b_star = None + if prio is not None: + ds = distances(g, dag, sources, False, excluded_nodes) + best: dict[int, object] = {} + for s in sources: + if s not in excluded_nodes and ds[s] == 0: + best[s] = math.inf + order = sorted( + (v for v in range(g.num_nodes) if ds[v] is not None), key=ds.__getitem__ + ) + out_adj: dict[int, list[int]] = {} + for e in dag: + out_adj.setdefault(g.src[e], []).append(e) + for u in order: + if u not in best: + continue + for e in out_adj.get(u, ()): + cand = min(best[u], prio(e)) + v = g.dst[e] + if v not in best or cand > best[v]: + best[v] = cand + b_star = max(best[t] for t in destinations if t in best and ds[t] == dstar) + if prefix_cap is not None and prefix_cap < b_star: + b_star = prefix_cap + dag = [e for e in dag if prio(e) >= b_star] + # hop counts toward the destinations inside the (restricted) DAG + radj: dict[int, list[int]] = {} + for e in dag: + radj.setdefault(g.dst[e], []).append(e) + h: dict[int, int] = {t: 0 for t in destinations if t not in excluded_nodes} + q = deque(h) + while q: + v = q.popleft() + for e in radj.get(v, ()): + u = g.src[e] + if u not in h: + h[u] = h[v] + 1 + q.append(u) + starts = [s for s in sources if s in h] + if not starts: + return None + hmin = min(h[s] for s in starts) + out_adj2: dict[int, list[int]] = {} + for e in dag: + out_adj2.setdefault(g.src[e], []).append(e) + frontier = [s for s in starts if h[s] == hmin] + walk: list[int] = [] + u = None + while True: + cands = [] + for x in [u] if u is not None else frontier: + for e in out_adj2.get(x, ()): + v = g.dst[e] + if v in h and h[v] == h[x] - 1: + cands.append(e) + if not cands: + break + e = min(cands) + walk.append(e) + u = g.dst[e] + if u in dests: + break + if not walk: + return None + cost = sum(g.cost[e] for e in walk) + assert cost == dstar + bottleneck = None if prio is None else min(prio(e) for e in walk) + return SinglePath(walk, cost, bottleneck, b_star) + + +# ------------------------------------------------------------------ public-shaped spf + + +@dataclass +class SpfResult: + costs: list[int | None] | None + dag: list[int] + target_cost: int | None + path: SinglePath | None = None + + +def spf( + g: Graph, + roots, + *, + direction: str = "Forward", + targets=None, + selection: Selection | None = None, + residual=None, + min_residual: int = 1, + elig: Eligibility | None = None, +) -> SpfResult: + selection = Selection() if selection is None else selection + roots = check_node_set(g, roots, "roots") + if targets is not None: + targets = check_node_set(g, targets, "targets") + check_disjoint(roots, targets) + elif not selection.multipath: + raise ContractError("multipath = false requires targets (rule 13)") + if direction not in ("Forward", "Reverse"): + raise ContractError(f"unknown direction {direction!r}") + check_residual(g, residual) + members = member_graph(g, elig, selection, residual, min_residual) + node_ok = (lambda v: True) if elig is None else (lambda v: elig.node_allowed[v]) + live_roots = [r for r in roots if node_ok(r)] + if targets is None: + d = distances(g, members, live_roots, direction == "Reverse") + return SpfResult( + d, full_dag(g, members, live_roots, direction == "Reverse"), None + ) + live_targets = [t for t in targets if node_ok(t)] + src, dst = ( + (live_roots, live_targets) + if direction == "Forward" + else (live_targets, live_roots) + ) + if not src or not dst: + return SpfResult(None, [], None) + if selection.multipath: + dstar, dag = tight_dag(g, members, src, dst) + return SpfResult(None, dag, dstar) + prio = ( + priority_fn(g, selection.priority, residual) + if selection.tie_break == PREFER + else None + ) + path = canonical_path(g, members, src, dst, prio) + if path is None: + return SpfResult(None, [], None) + return SpfResult(None, sorted(path.edges), path.cost, path) + + +# ------------------------------------------------------------------ cost ceilings + + +def check_ceiling(ceiling) -> tuple[str, object] | None: + if ceiling is None: + return None + kind, value = ceiling + if kind == "Absolute": + if not isinstance(value, int) or isinstance(value, bool) or value < 0: + raise ContractError("Absolute ceiling must be a non-negative integer cost") + return ceiling + if kind == "Stretch": + if isinstance(value, bool) or not isinstance(value, (int, float)): + raise ContractError("Stretch factor must be a number") + if not math.isfinite(value) or value < 1: + raise ContractError("Stretch factor outside [1, inf)") + return ceiling + raise ContractError(f"unknown ceiling {kind!r}") + + +def stretch_le(cost: int, base: int, f: float) -> bool: + """``cost <= f * base`` exactly; f is the dyadic rational it is (f >= 1). + + Exponent-aware: never forms a product above 128 bits (costs below 2^63, the + 53-bit mantissa, and bit lengths compared first). + """ + num, den = Fraction(f).as_integer_ratio() + k = den.bit_length() - 1 # den = 2^k + shift = 0 + while num % 2 == 0 and num > 1: + num //= 2 + shift += 1 + # f = num * 2^(shift - k), num odd and below 2^53 + exp = shift - k + if base == 0: + return cost <= 0 + rhs = base * num # below 2^116 + assert rhs.bit_length() <= 116 + if exp >= 0: + if rhs.bit_length() + exp > 64: + result = True # rhs * 2^exp >= 2^64 > cost + else: + result = cost <= rhs << exp + else: + lhs = cost << (-exp) # -exp < 53 because f >= 1 + assert lhs.bit_length() <= 128 + result = lhs <= rhs + assert result == (Fraction(cost) <= Fraction(f) * base) + return result + + +def within_ceiling(cost: int, ceiling, baseline: int | None) -> bool: + if ceiling is None: + return True + kind, value = ceiling + if kind == "Absolute": + return cost <= value + if baseline is None or baseline == 0: + return False + return stretch_le(cost, baseline, float(value)) + + +def static_shortest(g: Graph, elig, sources, destinations) -> int | None: + """The static shortest cost under the Eligibility (residual ignored).""" + members = member_graph(g, elig, Selection()) + d = distances(g, members, sources) + reach = [d[t] for t in destinations if d[t] is not None] + return min(reach) if reach else None diff --git a/tests/reference/policy/p1_amount/snap.py b/tests/reference/policy/p1_amount/snap.py new file mode 100644 index 0000000..a0b4470 --- /dev/null +++ b/tests/reference/policy/p1_amount/snap.py @@ -0,0 +1,174 @@ +"""Snapshot recording for prototype 1 fixtures. + +Every fixture records its graphs (input coordinates, the B' order and +``input_index``), every operation with its arguments, its result, its trace (views, +plans, ``T`` values, ``T_max`` searches, flow-core payloads with tiers) and the +ledger state after it (allocations and residuals in input coordinates, records with +ids and input positions), and every expectation with the expected and actual values. +""" + +from __future__ import annotations + +import math +from fractions import Fraction + +from graph import Graph, graph_from_input, input_to_id +from units import ContractError + + +def jsonable(x): + if isinstance(x, bool) or x is None or isinstance(x, (int, str)): + return x + if isinstance(x, float): + if math.isinf(x): + return "inf" if x > 0 else "-inf" + if math.isnan(x): + return "nan" + return x + if isinstance(x, Fraction): + return str(x) + if isinstance(x, dict): + return {str(k): jsonable(v) for k, v in x.items()} + if isinstance(x, (list, tuple, set, frozenset)): + seq = sorted(x) if isinstance(x, (set, frozenset)) else x + return [jsonable(v) for v in seq] + if hasattr(x, "to_json"): + return jsonable(x.to_json()) + return repr(x) + + +class Snap: + def __init__(self, name: str, family: str, description: str, rules) -> None: + self.data: dict = { + "fixture": name, + "family": family, + "description": description, + "rules": list(rules), + "graphs": {}, + "steps": [], + "checks": [], + } + self.failures: list[str] = [] + self.ledgers: dict[str, object] = {} + self.labels: dict[int, str] = {} + + # ------------------------------------------------------------ inputs + + def graph(self, label: str, n: int, edges, resolution=1) -> tuple[Graph, list[int]]: + g = graph_from_input(n, edges, resolution) + inv = input_to_id(g) + self.labels[g.uid] = label + self.data["graphs"][label] = { + "num_nodes": n, + "resolution": str(g.q), + "edges_input": [list(e) for e in edges], + "input_index": list(g.input_index()), + "edges_by_id": [list(g.edge_tuple(e)) for e in range(g.num_edges)], + } + return g, inv + + def note(self, text: str, **data) -> None: + self.data["steps"].append({"op": "note", "text": text, **jsonable(data)}) + + def step(self, op: str, **data) -> None: + self.data["steps"].append({"op": op, **jsonable(data)}) + + # ------------------------------------------------------------ operations + + def place(self, label: str, policy, volume, fg=None): + entry: dict = {"op": "place", "policy": label, "request": jsonable(volume)} + try: + r = policy.place(volume) + except ContractError as exc: + entry["error"] = f"{type(exc).__name__}: {exc}" + self.data["steps"].append(entry) + return exc + entry["result"] = jsonable(r.to_json()) + entry["trace"] = jsonable(getattr(r, "trace", {})) + fg = fg if fg is not None else getattr(policy, "fg", None) + if fg is not None: + entry["graph"] = self.labels.get(fg.graph.uid) + entry["state"] = jsonable(fg.state()) + self.data["steps"].append(entry) + return r + + def call(self, label: str, fn, *args, fg=None, **kw): + entry: dict = {"op": label} + try: + out = fn(*args, **kw) + except ContractError as exc: + entry["error"] = f"{type(exc).__name__}: {exc}" + self.data["steps"].append(entry) + return exc + entry["result"] = jsonable(out) + if fg is not None: + entry["state"] = jsonable(fg.state()) + self.data["steps"].append(entry) + return out + + # ------------------------------------------------------------ expectations + + def expect(self, name: str, actual, expected) -> bool: + ok = jsonable(actual) == jsonable(expected) + self.data["checks"].append( + { + "name": name, + "expected": jsonable(expected), + "actual": jsonable(actual), + "ok": ok, + } + ) + if not ok: + self.failures.append(f"{name}: expected {expected!r}, got {actual!r}") + return ok + + def check(self, name: str, ok: bool, detail=None) -> bool: + self.data["checks"].append( + {"name": name, "ok": bool(ok), "detail": jsonable(detail)} + ) + if not ok: + self.failures.append(f"{name}: {detail!r}") + return bool(ok) + + def raises(self, name: str, fn, *args, **kw) -> bool: + try: + fn(*args, **kw) + except ContractError as exc: + self.data["checks"].append( + {"name": name, "ok": True, "error": f"{type(exc).__name__}: {exc}"} + ) + return True + self.failures.append(f"{name}: no ContractError") + self.data["checks"].append({"name": name, "ok": False, "error": None}) + return False + + def finish(self) -> dict: + self.data["passed"] = not self.failures + self.data["failures"] = list(self.failures) + self.data["counts"] = { + "steps": len(self.data["steps"]), + "checks": len(self.data["checks"]), + } + return self.data + + +def to_input(g: Graph, per_id) -> list: + """A per-edge array in id coordinates, re-indexed by input position.""" + out = [0] * g.num_edges + pos = g.input_index() + for e, x in enumerate(per_id): + out[pos[e]] = x + return out + + +def dict_to_input(g: Graph, d: dict) -> list: + out = [0] * g.num_edges + pos = g.input_index() + for e, x in d.items(): + out[pos[e]] = x + return out + + +def ids(inv: list[int], positions) -> list[int]: + """Input positions to B' ids (through the caller's inverse of input_index).""" + return sorted(inv[p] for p in positions) diff --git a/tests/reference/policy/p1_amount/units.py b/tests/reference/policy/p1_amount/units.py new file mode 100644 index 0000000..d90378a --- /dev/null +++ b/tests/reference/policy/p1_amount/units.py @@ -0,0 +1,98 @@ +"""Integer units: the one numeric domain (APPROACH revision 24, sections 2.1 and 2.3). + +Every amount is a Python ``int`` number of units of the graph's resolution ``q``. +There is no finer grid; physical values enter only through ``to_units`` (round half +up) and leave only through ``as_float``. Costs are positive integers and are never +converted. +""" + +from __future__ import annotations + +import math +from fractions import Fraction + +LIMIT = 1 << 62 # exclusive bound: capacities, their sum, finite requests, cost sums +VIRTUAL_CAP = (1 << 63) - 2 # virtual arcs never saturate (2.2, revision 20) +INT64_MAX = (1 << 63) - 1 +UNREACHABLE = INT64_MAX # path-cost sentinel (None in Python accessors) +NEVER_REACHED = -1 # potential sentinel of the private flow-core payload (2.2) +INTERNAL_CAP_MAX = (1 << 63) - 2 # internal flow-core cap domain [0, 2^63 - 2] +COUNTER_LIMIT = 1 << 127 # signed 128-bit cumulative counters (offered, drops) +K_MAX_FLOWS_PER_CALL = 10000 # engine constant (9.2) +INF = math.inf # the only non-integer request: +inf + + +class ContractError(ValueError): + """Invalid input rejected before any mutation (rule 13).""" + + +def check_resolution(q) -> Fraction: + """A power of two in [2^-32, 2^32], given explicitly (no default in Core).""" + if isinstance(q, bool): + raise ContractError("resolution must be a number") + if isinstance(q, float) and not math.isfinite(q): + raise ContractError("resolution must be finite") + try: + f = Fraction(q) + except (TypeError, ValueError) as exc: + raise ContractError(f"resolution {q!r} is not a number") from exc + if f <= 0: + raise ContractError("resolution must be positive") + num, den = f.numerator, f.denominator + if num & (num - 1) or den & (den - 1): + raise ContractError(f"resolution {q!r} is not a power of two") + exponent = num.bit_length() - den.bit_length() + if not -32 <= exponent <= 32: + raise ContractError(f"resolution 2^{exponent} outside [2^-32, 2^32]") + return f + + +def to_units(x, q) -> int: + """Round half up of ``x / q``; NaN, infinity and negative values rejected. + + The scalar form of the conversion; arrays convert element by element. + """ + qf = check_resolution(q) + if isinstance(x, bool): + raise ContractError("physical amount must be a number") + if isinstance(x, float) and not math.isfinite(x): + raise ContractError("physical amount must be finite") + value = Fraction(x) + if value < 0: + raise ContractError("physical amount must be non-negative") + scaled = value / qf + Fraction(1, 2) + return scaled.numerator // scaled.denominator + + +def to_units_array(xs, q) -> list[int]: + return [to_units(x, q) for x in xs] + + +def as_float(units: int, q) -> float: + """Units to a physical double: exact below 2^53 units (q is a power of two).""" + qf = check_resolution(q) + if not isinstance(units, int) or isinstance(units, bool): + raise ContractError("as_float takes integer units") + return float(Fraction(units) * qf) + + +def check_units(name: str, x, *, upper: int = LIMIT) -> int: + """An integer amount in [0, upper).""" + if not isinstance(x, int) or isinstance(x, bool): + raise ContractError(f"{name} must be an integer number of units") + if x < 0 or x >= upper: + raise ContractError(f"{name} = {x} outside [0, {upper})") + return x + + +def check_request(volume) -> int | None: + """A request in units: an int in [0, 2^62) or +inf (returned as None).""" + if isinstance(volume, float): + if volume == math.inf: + return None + raise ContractError("requests are integer units or +inf") + return check_units("request", volume) + + +def bits(x: int) -> int: + return abs(x).bit_length() diff --git a/tests/reference/policy/p2_transaction/_p1.py b/tests/reference/policy/p2_transaction/_p1.py new file mode 100644 index 0000000..f31b1fb --- /dev/null +++ b/tests/reference/policy/p2_transaction/_p1.py @@ -0,0 +1,13 @@ +"""Make prototype 1's library importable (units, apportion, graph, flowcore, search, +kernels, ledger, pinned, certify). + +The directory is appended, not prepended, so this prototype's own ``fixtures``, +``run_fixtures`` and ``tests`` modules are never shadowed by prototype 1's. +""" + +import sys +from pathlib import Path + +P1_DIR = Path(__file__).resolve().parent.parent / "p1_amount" +if str(P1_DIR) not in sys.path: + sys.path.append(str(P1_DIR)) diff --git a/tests/reference/policy/p2_transaction/fixtures.py b/tests/reference/policy/p2_transaction/fixtures.py new file mode 100644 index 0000000..4177ab3 --- /dev/null +++ b/tests/reference/policy/p2_transaction/fixtures.py @@ -0,0 +1,2090 @@ +"""Prototype 2 fixtures in integer units (APPROACH revision 24, sections 8, 9 and 16). + +The 44 fixtures of the grid prototype regenerated in units (the old names mapped in +``FIXTURE_MAP``), plus the review witnesses of review 13 to review 17. Graphs are +stated in input coordinates; bundles and expected per-edge arrays are input +positions translated through the inverse of ``input_index()``. Expected values are +derived in the fixture text or bodies (round robin, highest averages, hand-traced +transactions), never read back from the engine. "Manual" owners are ``Pinned`` +policies with one bundle. + +Graph shapes (input positions): +* ``diamond(s0, t0, s1, t1)``: 0 -[0]-> 1 -[1]-> 3 and 0 -[2]-> 2 -[3]-> 3; route 0 + = {0, 1}, route 1 = {2, 3}; +* ``routes([(cap, cost), ...])``: route i is 0 -[2i]-> i+1 -[2i+1]-> d; +* ``parallel(caps)``: links 0 -> 1. +""" + +from __future__ import annotations + +from dataclasses import dataclass + +import _p1 # noqa: F401 +import certify +import policy as P +import search +from ledger import FlowGraph +from recorder import PSnap +from snap import dict_to_input +from units import INF, K_MAX_FLOWS_PER_CALL + +MF, W, EB = P.MF, P.W_, P.EB +LOSSLESS, LOSSY = P.LOSSLESS, P.LOSSY + +# Old fixture name -> regenerated fixture (the 44 grid fixtures). +FIXTURE_MAP = { + "admission_zero_src_dst_no_route": "admission_zero_and_no_route", + "cancellation_dag": "cancellation_dag", + "combine_custom_edges_explicit": "sources_augmentation_edges", + "combine_eb_pseudo_root": "sources_eb_per_source", + "combine_forward_vs_reverse_3_vs_5": "sources_lossy_per_source", + "combine_inf_every_kernel": "sources_inf_every_kernel", + "combine_limits_and_validation": "sources_limits_and_validation", + "combine_multi_source_attribution": "sources_attribution", + "combine_proportional_2_vs_3": "sources_maxflow_vs_global", + "combine_source_split_additivity": "sources_split_cumulative", + "creation_fewer_routes": "creation_fewer_routes", + "creation_retry_after_release": "creation_retry_after_release", + "eb_1_plus_2_vs_3": "eb_1_plus_2_vs_3", + "eb_three_members_g_1_1": "eb_correlated_remainders", + "eb_unequal_1_10": "eb_unequal_1_10", + "eight_versus_ten_capacity": "eight_versus_ten_capacity", + "eight_versus_ten_headroom": "eight_versus_ten_headroom", + "eight_versus_ten_residual": "eight_versus_ten_residual", + "flag_table": "flag_table", + "four_calls_EB": "four_calls_EB", + "four_calls_Lossy": "four_calls_Lossy", + "four_calls_P": "four_calls_MaxFlow", + "four_calls_W": "four_calls_W", + "growth_256_request_1278": "growth_256_request_1278", + "growth_request_6": "growth_request_6", + "harmful_growth_10_1": "harmful_growth_10_1", + "hidden_beneficial_route": "hidden_beneficial_route", + "inf_every_kernel": "inf_every_kernel", + "invalidation_and_detach": "lifetime_remove_orphan_reset", + "limits_diminishing": "limits_diminishing", + "limits_max_flows_created": "limits_kmaxflowspercall", + "lossy_diamond_10_then_1": "lossy_diamond_10_then_1", + "lossy_shared_ingress": "lossy_shared_ingress", + "pinned_bundle_rules": "pinned_bundle_rules", + "pinned_kernels_5_1": "pinned_kernels_5_1", + "reopt_double_spend": "reopt_double_spend", + "request_12_on_5_5": "request_12_on_5_5", + "retention_third_party_removal": "retention_third_party_removal", + "rounded_retention_3_plus_g": "retention_same_structure", + "shared_capacity_view": "shared_capacity_view", + "ten_versus_five": "ten_versus_five", + "third_party_occupancy": "third_party_occupancy", + "weighted_1_plus_5_vs_6": "weighted_1_plus_5_vs_6", + "weighted_frozen_third_party": "weighted_frozen_third_party", +} + + +@dataclass +class Fixture: + name: str + family: str + rules: tuple[str, ...] + description: str + run: object + + +FIXTURES: list[Fixture] = [] + + +def fixture(name, family, rules, description): + def wrap(fn): + FIXTURES.append(Fixture(name, family, tuple(rules), description, fn)) + return fn + + return wrap + + +# ------------------------------------------------------------------ helpers + + +def diamond(s0, t0, s1, t1, c0=1, c1=1): + return 4, [(0, 1, s0, c0), (1, 3, t0, c0), (0, 2, s1, c1), (2, 3, t1, c1)] + + +def routes(specs): + d = len(specs) + 1 + edges = [] + for i, (c, w) in enumerate(specs): + edges += [(0, i + 1, c, w), (i + 1, d, c, w)] + return d + 1, edges + + +def parallel(caps, costs=None): + costs = costs or [1] * len(caps) + return 2, [(0, 1, c, w) for c, w in zip(caps, costs, strict=True)] + + +def tunnel(priority="Capacity", tie=search.PREFER): + return search.Selection( + multipath=False, multi_edge=False, tie_break=tie, priority=priority + ) + + +def ca(kernel, priority="Capacity", fc=1, mx=None, reopt=False, sel=None, **kw): + return P.FlowPolicyConfig( + P.CapacityAware(flow_count=fc, max_flow_count=mx, reoptimize=reopt, **kw), + kernel, + LOSSLESS, + sel or tunnel(priority), + ) + + +def co(kernel, adm=LOSSLESS, sel=None): + return P.FlowPolicyConfig(P.CostOnly(), kernel, adm, sel or search.Selection()) + + +def glob(): + return P.FlowPolicyConfig(P.Global(), MF, LOSSLESS, search.Selection()) + + +class Ctx: + """One graph, its caller-side inverse map, and helpers in input coordinates.""" + + def __init__(self, s: PSnap, label, spec, resolution=1): + n, edges = spec + self.s, self.n, self.edges = s, n, edges + self.g, self.inv = s.graph(label, n, edges, resolution) + + def ids(self, positions): + return tuple(sorted(self.inv[p] for p in positions)) + + def ledger(self, residual_input=None): + if residual_input is None: + return FlowGraph(self.g) + return FlowGraph(self.g, [residual_input[p] for p in self.g.input_index()]) + + def pin(self, kernel, bundles, adm=LOSSLESS, sel=None): + return P.FlowPolicyConfig( + P.Pinned(tuple(self.ids(b) for b in bundles)), + kernel, + adm, + sel or search.Selection(), + ) + + def manual(self, fg, src, dst, positions, amount, label="manual owner"): + """A fixed-structure owner: a Pinned MaxFlow policy with one bundle.""" + pol = P.FlowPolicy(fg, src, dst, self.pin(MF, [positions])) + r = self.s.place(label, pol, amount, fg=fg) + return pol, r + + def alloc(self, fg): + return fg.state()["allocated_input"] + + def own(self, fg, pol): + out = [0] * self.g.num_edges + for r in pol.records(): + for e, x in r.edges.items(): + out[self.g.input_index()[e]] += x + return out + + def routes_of(self, pol, src=None): + st = pol.state()["cohorts"] + src = next(iter(st)) if src is None else src + return [f["route_input"] for f in st[src]] + + def shares(self, pol, src=None): + st = pol.state()["cohorts"] + src = next(iter(st)) if src is None else src + return [f["T"] for f in st[src]] + + +# ====================================================================== creation + + +@fixture( + "creation_fewer_routes", + "creation", + ["8b", "9.2"], + "One capacity-5 link, CapacityAware flow_count 2, max 2, request 20: the " + "first reservation exhausts the link, the second search finds nothing, so one " + "flow is created (created flows are the ones that received a route); placed 5, " + "exhausted (growth finds no candidate), routes_changed true.", +) +def creation_fewer_routes(s: PSnap): + c = Ctx(s, "one_link", parallel([5])) + for kernel in (EB, MF, W): + fg = c.ledger() + pol = P.FlowPolicy(fg, 0, 1, ca(kernel, fc=2, mx=2)) + r = s.place(f"{kernel}: request 20", pol, 20) + s.expect( + f"{kernel} result", + (r.placed, r.termination, r.routes_changed), + (5, "exhausted", True), + ) + s.expect(f"{kernel} cohort size", len(pol.flow_ids()), 1) + + +@fixture( + "creation_retry_after_release", + "creation", + ["8", "9.1", "9.4"], + "Another owner holds the only link: a CapacityAware call finds no route, ends " + "no_route, creates nothing and consumes no id (flags false). After the owner's " + "remove() the next call creates the cohort (creation is attempted on every call " + "while the cohort is empty), complete, routes_changed true.", +) +def creation_retry(s: PSnap): + c = Ctx(s, "one_link", parallel([5])) + fg = c.ledger() + other, _ = c.manual(fg, 0, 1, [0], 5) + pol = P.FlowPolicy(fg, 0, 1, ca(MF)) + nxt = fg.next_flow_id() + r = s.place("first call", pol, 1) + s.expect( + "no route", + (r.termination, r.routes_changed, r.weights_changed), + ("no_route", False, False), + ) + s.expect("no id consumed", fg.next_flow_id(), nxt) + other.remove() + r = s.place("second call", pol, 1) + s.expect( + "created", (r.placed, r.termination, r.routes_changed), (1, "complete", True) + ) + s.expect("created id", pol.flow_ids()[0][1], nxt) + + +# ====================================================================== reservations + + +@fixture( + "ten_versus_five", + "reservations", + ["8b", "9.2", "9.4"], + "Two disjoint capacity-5 routes, EB CapacityAware, request 10: flow_count 2 " + "places 10 (the second route is found after the first reservation, complete); " + "flow_count 1 with max 1 places 5 and ends exhausted (a fixed-count cohort full; " + "revision 20, the grid prototype said limit_flows).", +) +def ten_versus_five(s: PSnap): + c = Ctx(s, "diamond_5", diamond(5, 5, 5, 5)) + fg = c.ledger() + r = s.place("flow_count 2", P.FlowPolicy(fg, 0, 3, ca(EB, fc=2, mx=2)), 10, fg=fg) + s.expect("two flows", (r.placed, r.termination), (10, "complete")) + fg = c.ledger() + r = s.place( + "flow_count 1, max 1", P.FlowPolicy(fg, 0, 3, ca(EB, fc=1, mx=1)), 10, fg=fg + ) + s.expect("one flow", (r.placed, r.termination), (5, "exhausted")) + + +def _eight_versus_ten(s: PSnap, priority, at8, term8, routes8): + c = Ctx(s, "diamond_5", diamond(5, 5, 5, 5)) + for volume, expect, term in ((8, at8, term8), (10, 10, "complete")): + fg = c.ledger() + pol = P.FlowPolicy(fg, 0, 3, ca(EB, priority=priority, fc=2, mx=2)) + r = s.place(f"{priority}: request {volume}", pol, volume, fg=fg) + s.expect(f"{priority} {volume}", (r.placed, r.termination), (expect, term)) + s.expect( + f"{priority} reservations at {volume}", + [x["reserved"] for x in r.trace["sources"][0]["stage1"]["reservations"]], + [volume // 2] * 2 + if volume == 10 + else ([4, 1] if routes8 == "shared" else [4, 4]), + ) + if volume == 8: + want = [[0, 1], [0, 1]] if routes8 == "shared" else [[0, 1], [2, 3]] + s.expect(f"{priority} routes at 8", c.routes_of(pol), want) + + +@fixture( + "eight_versus_ten_capacity", + "reservations", + ["8b", "9.2"], + "EB reservation target (P + v) div k with Capacity priority: request 8 reserves " + "4 on route 0, whose residual 1 still ties on static capacity, so the second " + "search takes route 0 again (reservation 1): both flows share route 0 and place " + "5 (exhausted: fixed count); request 10 reserves 5, route 0 is gated, the second " + "flow takes route 1: 10. The non-monotone CapacityAware fixture (9.2).", +) +def eight_versus_ten_capacity(s: PSnap): + _eight_versus_ten(s, "Capacity", 5, "exhausted", "shared") + + +@fixture( + "eight_versus_ten_residual", + "reservations", + ["8b", "9.2"], + "Same with Residual priority: the second search prefers the untouched route " + "(bottleneck 5 against 1): 8 and 10.", +) +def eight_versus_ten_residual(s: PSnap): + _eight_versus_ten(s, "Residual", 8, "complete", "split") + + +@fixture( + "eight_versus_ten_headroom", + "reservations", + ["8b", "9.2"], + "Same with Headroom priority (exact rationals 1/5 against 5/5): 8 and 10.", +) +def eight_versus_ten_headroom(s: PSnap): + _eight_versus_ten(s, "Headroom", 8, "complete", "split") + + +@fixture( + "request_12_on_5_5", + "reservations", + ["8b", "9.2", "9.4"], + "Infeasible reservations: request 12, flow_count 2 = max 2, two capacity-5 " + "routes. EB targets 6 clip to 5 and 5; MaxFlow and Weighted sequential " + "reservations 5 and 5; placed 10, remaining 2, exhausted (fixed count).", +) +def request_12(s: PSnap): + c = Ctx(s, "diamond_5", diamond(5, 5, 5, 5)) + for kernel in (EB, MF, W): + fg = c.ledger() + pol = P.FlowPolicy(fg, 0, 3, ca(kernel, fc=2, mx=2)) + r = s.place(f"{kernel}: request 12", pol, 12, fg=fg) + s.expect( + f"{kernel} result", + (r.placed, r.remaining, r.termination), + (10, 2, "exhausted"), + ) + res = r.trace["sources"][0]["stage1"]["reservations"] + s.expect(f"{kernel} reservations", [x["reserved"] for x in res], [5, 5]) + + +# ====================================================================== growth + + +@fixture( + "growth_request_6", + "growth", + ["8b", "9.2"], + "EB CapacityAware flow_count 1, max 2, two capacity-5 routes, request 6: the " + "first flow takes 5, growth to two flows gives the cohort 6 split [3, 3] " + "(no over-admission); complete, routes_changed true.", +) +def growth_6(s: PSnap): + c = Ctx(s, "diamond_5", diamond(5, 5, 5, 5)) + fg = c.ledger() + pol = P.FlowPolicy(fg, 0, 3, ca(EB, fc=1, mx=2)) + r = s.place("request 6", pol, 6) + s.expect( + "result", + (r.placed, r.termination, r.routes_changed, r.weights_changed), + (6, "complete", True, False), + ) + s.expect("shares", c.shares(pol), [3, 3]) + + +@fixture( + "growth_256_request_1278", + "growth", + ["8b", "9.2"], + "256 parallel capacity-5 links, EB tunnels (Residual), flow_count 1, max 256, " + "request 1278: 255 accepted growth steps, k = 256, the cohort total 1278 split " + "by round robin: 254 flows at 5 and 2 at 4; complete.", +) +def growth_256(s: PSnap): + c = Ctx(s, "parallel_256", parallel([5] * 256)) + fg = c.ledger() + pol = P.FlowPolicy(fg, 0, 1, ca(EB, priority="Residual", fc=1, mx=256)) + r = pol.place(1278) + steps = r.trace["sources"][0]["stage4"] + for st in steps: + st.pop("W", None) + st.pop("shares", None) + s.step("request 1278", result=r.to_json(), growth=steps, created=r.trace["created"]) + s.expect("result", (r.placed, r.termination), (1278, "complete")) + shares = c.shares(pol) + s.expect( + "k and shares", (len(shares), shares.count(5), shares.count(4)), (256, 254, 2) + ) + s.expect( + "accepted growth steps", + sum(1 for x in steps if x.get("decision") == "accepted"), + 255, + ) + s.expect("created", r.trace["created"], 256) + + +@fixture( + "harmful_growth_10_1", + "growth", + ["8b", "9.2", "9.4"], + "Routes of capacity 10 (cost 2) and 1 (cost 4), EB, max 2. P = 10 on route 0; " + "place(1): the candidate on route 1 gives a cohort bound of 3 (round robin [2, 1] " + "over capacities [10, 1]) < 10 and is rejected: delta 0, exhausted, flags false, " + "no id consumed.", +) +def harmful_growth(s: PSnap): + c = Ctx(s, "harmful", diamond(10, 10, 1, 1, c0=1, c1=2)) + fg = c.ledger() + pol = P.FlowPolicy(fg, 0, 3, ca(EB, fc=1, mx=2)) + s.place("request 10", pol, 10) + nxt = fg.next_flow_id() + r = s.place("request 1", pol, 1) + s.expect( + "result", + (r.placed, r.termination, r.routes_changed, r.weights_changed), + (0, "exhausted", False, False), + ) + rej = [ + x + for x in r.trace["sources"][0]["stage4"] + if x.get("decision", "").startswith("rejected") + ] + s.expect( + "rejected candidate", + [(x["route"], x["T_candidate"]) for x in rej], + [(list(c.ids([2, 3])), 3)], + ) + s.expect("no id consumed", fg.next_flow_id(), nxt) + s.expect("total", pol.placed_demand(), 10) + + +@fixture( + "hidden_beneficial_route", + "growth", + ["8b", "9.4"], + "Routes (capacity, cost per edge) (10, 1), (1, 2), (10, 3); P = 10 on the " + "first; place(1) evaluates the cheapest candidate (route 1), rejects it (bound " + "3) and stops: exhausted under the greedy rule, although routes 0 and 2 jointly " + "would total 11 (round robin [6, 5] fits [10, 10]; documented, not searched).", +) +def hidden_beneficial(s: PSnap): + c = Ctx(s, "three_routes", routes([(10, 1), (1, 2), (10, 3)])) + fg = c.ledger() + pol = P.FlowPolicy(fg, 0, 4, ca(EB, fc=1, mx=2)) + s.place("request 10", pol, 10) + r = s.place("request 1", pol, 1) + s.expect("result", (r.placed, r.termination), (0, "exhausted")) + tried = [x["route"] for x in r.trace["sources"][0]["stage4"] if "route" in x] + s.expect("candidate tried", tried, [list(c.ids([2, 3]))]) + rr = P.round_robin(11, 2) + s.expect( + "alternative (not searched) fits", + (rr, rr[0] <= 10 and rr[1] <= 10), + ([6, 5], True), + ) + + +# ====================================================================== four calls + + +def _four_calls(s: PSnap, kernel, adm, expected): + for shape, caps in (("equal", (5, 5)), ("unequal", (1, 10))): + c = Ctx(s, f"diamond_{shape}", diamond(caps[0], caps[0], caps[1], caps[1])) + for mode in ("CostOnly", "Pinned"): + fg = c.ledger() + cfg = ( + co(kernel, adm) + if mode == "CostOnly" + else c.pin(kernel, [[0, 1], [2, 3]], adm) + ) + pol = P.FlowPolicy(fg, 0, 3, cfg) + got = [ + s.place(f"{shape} {mode} call {i}", pol, 1, fg=fg).placed + for i in range(4) + ] + s.expect(f"{shape} {mode}", got, expected[shape]) + + +@fixture( + "four_calls_MaxFlow", + "four_calls", + ["8a", "16.4"], + "MaxFlow, four calls of 1 on equal (5/5) and unequal (1/10) routes, one " + "CostOnly flow on the diamond and two Pinned flows: 1, 1, 1, 1.", +) +def four_calls_mf(s: PSnap): + _four_calls(s, MF, LOSSLESS, {"equal": [1] * 4, "unequal": [1] * 4}) + + +@fixture( + "four_calls_W", + "four_calls", + ["8a", "16.4"], + "Weighted (Residual weights at creation, 1:10 on the unequal diamond; highest " + "averages gives [0, T] up to T = 9): 1, 1, 1, 1 everywhere.", +) +def four_calls_w(s: PSnap): + _four_calls(s, W, LOSSLESS, {"equal": [1] * 4, "unequal": [1] * 4}) + + +@fixture( + "four_calls_EB", + "four_calls", + ["8a", "16.4"], + "EqualBalanced: equal 1, 1, 1, 1; unequal 1/10: 1, 1, 0, 0 (round robin [2, 1] " + "overfills the 1-route at T = 3).", +) +def four_calls_eb(s: PSnap): + _four_calls(s, EB, LOSSLESS, {"equal": [1] * 4, "unequal": [1, 1, 0, 0]}) + + +@fixture( + "four_calls_Lossy", + "four_calls", + ["19", "16.6"], + "Lossy EB (per-call offers, round robin from the lowest EdgeId every call): " + "equal 1, 1, 1, 1; unequal 1, 0, 0, 0 (every one-unit offer goes to the full " + "1-route and is dropped there; the grid prototype's halves do not exist in " + "units).", +) +def four_calls_lossy(s: PSnap): + _four_calls(s, EB, LOSSY, {"equal": [1] * 4, "unequal": [1, 0, 0, 0]}) + + +@fixture( + "eb_unequal_1_10", + "four_calls", + ["8a", "9.4"], + "EB on the unequal 1/10 diamond (one CostOnly flow): 1, 1, 0, 0; the third and " + "fourth calls are exhausted with nothing placed.", +) +def eb_unequal(s: PSnap): + c = Ctx(s, "diamond_1_10", diamond(1, 1, 10, 10)) + fg = c.ledger() + pol = P.FlowPolicy(fg, 0, 3, co(EB)) + rs = [s.place(f"call {i}", pol, 1) for i in range(4)] + s.expect("placed", [r.placed for r in rs], [1, 1, 0, 0]) + s.expect( + "terminations", + [r.termination for r in rs], + ["complete", "complete", "exhausted", "exhausted"], + ) + + +@fixture( + "cancellation_dag", + "four_calls", + ["20", "16.4"], + "CostOnly MaxFlow on the cancellation DAG (all costs 1): calls 1 then 1 give 1 " + "and 1 (edge 1->3 goes 1 -> 0), a single call of 2 gives the same allocation " + "[1,1,0,1,1,1,1].", +) +def cancellation(s: PSnap): + pairs = [(0, 1), (0, 2), (1, 3), (1, 4), (2, 3), (3, 5), (4, 5)] + c = Ctx(s, "cancellation", (6, [(u, v, 1, 1) for u, v in pairs])) + fg = c.ledger() + pol = P.FlowPolicy(fg, 0, 5, co(MF)) + a = s.place("call 1", pol, 1) + s.expect("after call 1", c.alloc(fg), [1, 0, 1, 0, 0, 1, 0]) + b = s.place("call 2", pol, 1) + s.expect("two calls", (a.placed, b.placed), (1, 1)) + s.expect("after call 2", c.alloc(fg), [1, 1, 0, 1, 1, 1, 1]) + fg2 = c.ledger() + s.place("single call 2", P.FlowPolicy(fg2, 0, 5, co(MF)), 2, fg=fg2) + s.expect("1 + 1 equals 2", c.alloc(fg2), c.alloc(fg)) + + +# ====================================================================== Lossy + + +@fixture( + "lossy_diamond_10_then_1", + "lossy", + ["19", "16.6", "15"], + "CostOnly Lossy EB on source links 10/10 over tails 1/10: request 10 delivers " + "6 (complete, 4 dropped on the 1-tail, remaining 4); request 1 is offered to the " + "full branch and dropped (complete, delivered 0); the record keeps offered 11, " + "delivered 6 and 5 drops on the tail; drops are never re-offered.", +) +def lossy_diamond(s: PSnap): + c = Ctx(s, "diamond_10_1_10_10", diamond(10, 1, 10, 10)) + fg = c.ledger() + pol = P.FlowPolicy(fg, 0, 3, co(EB, LOSSY)) + tail = c.ids([1])[0] + a = s.place("request 10", pol, 10) + s.expect( + "first", + (a.placed, a.termination, a.remaining, a.drops), + (6, "complete", 4, [(tail, 4)]), + ) + b = s.place("request 1", pol, 1) + s.expect( + "second", + (b.placed, b.termination, b.remaining, b.drops), + (0, "complete", 1, [(tail, 1)]), + ) + rec = pol.records()[0] + s.expect("record", (rec.offered, rec.delivered, rec.drops), (11, 6, {tail: 5})) + + +@fixture( + "lossy_shared_ingress", + "lossy", + ["19", "16.6"], + "Two Pinned Lossy EB flows share an ingress of capacity 2 (tails 1 and 10): " + "requests 2 then 2 deliver 2 then 0 (the second offers are dropped on the full " + "ingress, complete); one request 4 delivers 1 (the first flow spends the ingress " + "on its 1-tail, the second flow's offer of 2 is dropped on the ingress). Not " + "additive (rule 19).", +) +def lossy_shared(s: PSnap): + c = Ctx( + s, + "shared_ingress", + (4, [(0, 1, 2, 1), (1, 3, 1, 1), (1, 2, 10, 1), (2, 3, 10, 1)]), + ) + bundles = [[0, 1], [0, 2, 3]] + fg = c.ledger() + pol = P.FlowPolicy(fg, 0, 3, c.pin(EB, bundles, LOSSY)) + a = s.place("request 2", pol, 2) + b = s.place("request 2 again", pol, 2) + s.expect( + "2 then 2", + ((a.placed, a.termination), (b.placed, b.termination)), + ((2, "complete"), (0, "complete")), + ) + fg2 = c.ledger() + pol2 = P.FlowPolicy(fg2, 0, 3, c.pin(EB, bundles, LOSSY)) + r = s.place("request 4", pol2, 4, fg=fg2) + s.expect("single 4", (r.placed, r.termination), (1, "complete")) + recs = pol2.records() + s.expect( + "records (offered, delivered, drops)", + [(x.offered, x.delivered, dict_to_input(c.g, x.drops)) for x in recs], + [(2, 1, [0, 1, 0, 0]), (2, 0, [2, 0, 0, 0])], + ) + + +# ====================================================================== +inf + + +@fixture( + "inf_every_kernel", + "infinite", + ["15", "8a", "8b"], + "+inf for every kernel: CostOnly MaxFlow, Weighted and EB on 5/5 place 10 " + "(exhausted, remaining +inf); EB and MaxFlow CapacityAware grow to two flows " + "(10); Lossy injects every source member to its residual: 11 on the 1/10 " + "diamond; on 10/10 over 1/10 delivered 11 with 20 offered and 9 dropped.", +) +def inf_every_kernel(s: PSnap): + c = Ctx(s, "diamond_5", diamond(5, 5, 5, 5)) + for kernel in (MF, W, EB): + fg = c.ledger() + r = s.place( + f"CostOnly {kernel} +inf", P.FlowPolicy(fg, 0, 3, co(kernel)), INF, fg=fg + ) + s.expect( + f"CostOnly {kernel}", + (r.placed, r.remaining, r.termination), + (10, None, "exhausted"), + ) + for kernel in (EB, MF): + fg = c.ledger() + pol = P.FlowPolicy(fg, 0, 3, ca(kernel, fc=1)) + r = s.place(f"CapacityAware {kernel} +inf", pol, INF, fg=fg) + s.expect( + f"CapacityAware {kernel}", + (r.placed, r.termination, len(pol.flow_ids())), + (10, "exhausted", 2), + ) + c2 = Ctx(s, "diamond_1_10", diamond(1, 1, 10, 10)) + fg = c2.ledger() + r = s.place("Lossy +inf 1/10", P.FlowPolicy(fg, 0, 3, co(EB, LOSSY)), INF, fg=fg) + s.expect("Lossy 1/10", (r.placed, r.termination), (11, "exhausted")) + c3 = Ctx(s, "diamond_10_1_10_10", diamond(10, 1, 10, 10)) + fg = c3.ledger() + pol = P.FlowPolicy(fg, 0, 3, co(EB, LOSSY)) + r = s.place("Lossy +inf transit", pol, INF, fg=fg) + rec = pol.records()[0] + s.expect( + "Lossy transit", (r.placed, rec.offered, sum(rec.drops.values())), (11, 20, 9) + ) + + +# ====================================================================== reoptimisation + + +@fixture( + "retention_third_party_removal", + "reoptimisation", + ["8b", "9.2"], + "Two capacity-5 routes, another owner holds 2 on route 0. EB CapacityAware " + "count 2 (max 2), Capacity priority, reoptimisation. Request 8 reserves 3 and 4 " + "and places 6 ([3, 3]; exhausted). The owner leaves; request 1: flow 0 keeps " + "route 0, flow 1's candidate (route 0, view 2) cannot carry its 3 and is " + "rejected (retention); stage 3 raises the cohort to 7 ([4, 3]); flags false.", +) +def retention(s: PSnap): + c = Ctx(s, "diamond_5", diamond(5, 5, 5, 5)) + fg = c.ledger() + other, _ = c.manual(fg, 0, 3, [0, 1], 2) + pol = P.FlowPolicy(fg, 0, 3, ca(EB, fc=2, mx=2, reopt=True)) + r = s.place("request 8", pol, 8) + s.expect("first", (r.placed, r.termination), (6, "exhausted")) + res = r.trace["sources"][0]["stage1"]["reservations"] + s.expect("reservations", [x["reserved"] for x in res], [3, 4]) + other.remove() + r = s.place("request 1", pol, 1) + rows = r.trace["sources"][0]["stage2"] + s.expect( + "reopt decisions", + [x["decision"].split(":")[0] for x in rows], + ["kept", "rejected"], + ) + s.expect("second", (r.placed, pol.placed_demand(), c.shares(pol)), (1, 7, [4, 3])) + s.expect("flags", (r.routes_changed, r.weights_changed), (False, False)) + + +@fixture( + "shared_capacity_view", + "reoptimisation", + ["8b", "9.2"], + "Shared ingress e0 (10) and parallel egresses e1, e2 (10 each); a third party " + "holds 6 on e1. Two EB tunnels (Residual, Collapse picks the egress with the " + "larger residual) both take e2: [4, 4]. After the third party leaves, request " + "1: flow 0 sees e0 = 2 + 4 = 6 on its view W + own, moves to e1 at T_old = 4; " + "the cohort reaches 9 ([5, 4]); routes_changed true, weights_changed false.", +) +def shared_view(s: PSnap): + c = Ctx(s, "shared", (3, [(0, 1, 10, 1), (1, 2, 10, 1), (1, 2, 10, 1)])) + fg = c.ledger() + other, _ = c.manual(fg, 1, 2, [1], 6) + pol = P.FlowPolicy(fg, 0, 2, ca(EB, priority="Residual", fc=2, mx=2, reopt=True)) + r = s.place("request 8", pol, 8) + s.expect("first", (r.placed, c.routes_of(pol)), (8, [[0, 2], [0, 2]])) + other.remove() + r = s.place("request 1", pol, 1) + row = r.trace["sources"][0]["stage2"][0] + s.expect( + "flow 0 adopted e1", + (row["decision"], row["candidate"]), + ("adopted", list(c.ids([0, 1]))), + ) + s.expect("second", (r.placed, pol.placed_demand(), c.shares(pol)), (1, 9, [5, 4])) + s.expect("flags", (r.routes_changed, r.weights_changed), (True, False)) + + +@fixture( + "reopt_double_spend", + "reoptimisation", + ["8b", "9.2"], + "MaxFlow tunnel with reoptimisation on two parallel capacity-10 links: T = 4 on " + "e0; a third party fills e0. Request 1: the reroute to e1 happens at T_old = 4 " + "(no budget), stage 3 adds 1: placed 1, total 5. The single-link variant (no " + "third party) places 1 as well.", +) +def double_spend(s: PSnap): + c = Ctx(s, "parallel_10_10", parallel([10, 10])) + fg = c.ledger() + pol = P.FlowPolicy(fg, 0, 1, ca(MF, priority="Residual", fc=1, mx=1, reopt=True)) + s.place("request 4", pol, 4) + c.manual(fg, 0, 1, [0], 6, "third party fills e0") + r = s.place("request 1", pol, 1) + s.expect("result", (r.placed, pol.placed_demand(), c.routes_of(pol)), (1, 5, [[1]])) + s.expect("flags", (r.routes_changed, r.weights_changed), (True, False)) + c1 = Ctx(s, "one_link", parallel([10])) + fg1 = c1.ledger() + p1 = P.FlowPolicy(fg1, 0, 1, ca(MF, priority="Residual", fc=1, mx=1, reopt=True)) + s.place("single link request 4", p1, 4, fg=fg1) + r = s.place("single link request 1", p1, 1, fg=fg1) + s.expect("single link", (r.placed, p1.placed_demand()), (1, 5)) + + +@fixture( + "retention_same_structure", + "reoptimisation", + ["8b", "9.4"], + "Three parallel capacity-2 links, EB CapacityAware multipath with " + "reoptimisation: request 3 gives [1, 1, 1]; third parties fill the leftovers. " + "Request 1: the candidate DAG equals the flow's route (a structurally equal " + "candidate is not a reroute): kept, nothing shed, placed 0, exhausted, flags " + "false. (Replaces the grid fixture 3 + g.)", +) +def retention_same(s: PSnap): + c = Ctx(s, "parallel_2", parallel([2, 2, 2])) + fg = c.ledger() + pol = P.FlowPolicy(fg, 0, 1, ca(EB, fc=1, reopt=True, sel=search.Selection())) + s.place("request 3", pol, 3) + s.expect("allocation", c.own(fg, pol), [1, 1, 1]) + for p in range(3): + c.manual(fg, 0, 1, [p], 1, f"third party fills link {p}") + r = s.place("request 1", pol, 1) + s.expect( + "result", + (r.placed, r.termination, r.routes_changed, r.weights_changed), + (0, "exhausted", False, False), + ) + s.expect( + "reopt", [x["decision"] for x in r.trace["sources"][0]["stage2"]], ["kept"] + ) + s.expect("nothing shed", pol.placed_demand(), 3) + + +# ====================================================================== third parties + + +@fixture( + "weighted_frozen_third_party", + "third_party", + ["8a", "16.2", "9.4"], + "CostOnly Weighted on source links 10/10 over tails t/10: weights [10, 10] " + "captured at creation and frozen. (a) t = 1: 2 then 1 give 2 then 0 (T = 3 " + "needs 2 on the 1-tail). (b) t = 2: request 2 ([1, 1]); a third party takes 1 " + "on the tail; request 1 places 0; after the third party leaves, request 1 places " + "1. The plan never changes; weights_changed stays false.", +) +def weighted_frozen(s: PSnap): + c = Ctx(s, "diamond_10_1", diamond(10, 1, 10, 10)) + fg = c.ledger() + pol = P.FlowPolicy(fg, 0, 3, co(W)) + a = s.place("(a) request 2", pol, 2) + b = s.place("(a) request 1", pol, 1) + s.expect("(a)", (a.placed, b.placed), (2, 0)) + c2 = Ctx(s, "diamond_10_2", diamond(10, 2, 10, 10)) + fg = c2.ledger() + pol = P.FlowPolicy(fg, 0, 3, co(W)) + s.place("(b) request 2", pol, 2, fg=fg) + plan = pol.state()["cohorts"][0][0]["plan"] + other, _ = c2.manual(fg, 1, 3, [1], 1, "(b) third party on the tail") + r1 = s.place("(b) request 1 blocked", pol, 1, fg=fg) + other.remove() + r2 = s.place("(b) request 1 after removal", pol, 1, fg=fg) + s.expect("(b)", (r1.placed, r2.placed), (0, 1)) + s.expect("(b) plan frozen", pol.state()["cohorts"][0][0]["plan"], plan) + s.expect( + "(b) weights_changed", (r1.weights_changed, r2.weights_changed), (False, False) + ) + + +@fixture( + "third_party_occupancy", + "third_party", + ["8a", "16.2", "18"], + "Capacity 10, baseline 8, own 4, another owner 3: the residual is 1 and the " + "view 5; request 2 adds exactly 1 for MaxFlow, Weighted and EB (exhausted) and " + "never touches the other owner's record.", +) +def third_party(s: PSnap): + c = Ctx(s, "one_link", parallel([10])) + for kernel in (MF, W, EB): + fg = c.ledger([8]) + pol = P.FlowPolicy(fg, 0, 1, co(kernel)) + s.place(f"{kernel} own 4", pol, 4, fg=fg) + other, _ = c.manual(fg, 0, 1, [0], 3) + r = s.place(f"{kernel} request 2", pol, 2, fg=fg) + s.expect(f"{kernel}", (r.placed, r.termination), (1, "exhausted")) + s.expect( + f"{kernel} other untouched", [x.delivered for x in other.records()], [3] + ) + + +# ====================================================================== cohorts in units + + +@fixture( + "eb_correlated_remainders", + "units", + ["16.5", "9.2"], + "Round-robin remainders correlate across flows sharing a split: three parallel " + "1-unit links. A Pinned EB flow on the three links places 3. Two Pinned bundles " + "that become equal after pruning (the second carries a dead branch) keep two " + "flows on the same split: T = 2 gives each flow its unit on the lowest-id link " + "(2 > 1), so the cohort places 1 (exact and feasible; no start rotation, " + "decided).", +) +def eb_correlated(s: PSnap): + c = Ctx( + s, + "parallel_1_dead", + (3, [(0, 1, 1, 1), (0, 1, 1, 1), (0, 1, 1, 1), (0, 2, 1, 1)]), + ) + fg = c.ledger() + r = s.place("one flow", P.FlowPolicy(fg, 0, 1, c.pin(EB, [[0, 1, 2]])), 3, fg=fg) + s.expect("one flow", (r.placed, r.termination), (3, "complete")) + fg = c.ledger() + pol = P.FlowPolicy(fg, 0, 1, c.pin(EB, [[0, 1, 2], [0, 1, 2, 3]])) + r = s.place("two flows on the same split", pol, 3, fg=fg) + s.expect( + "cohort", (r.placed, r.termination, c.shares(pol)), (1, "exhausted", [1, 0]) + ) + s.expect("routes equal after pruning", c.routes_of(pol), [[0, 1, 2], [0, 1, 2]]) + + +@fixture( + "eb_1_plus_2_vs_3", + "units", + ["16.4", "16.5"], + "Three ample parallel links: EB place(1); place(2) equals place(3) exactly " + "([1, 1, 1]) for one CostOnly flow and for a Pinned cohort of three single-link " + "flows (round robin over the cohort in FlowId order).", +) +def eb_additivity(s: PSnap): + c = Ctx(s, "parallel_10", parallel([10, 10, 10])) + for mode in ("CostOnly", "Pinned"): + finals = [] + for calls in ([1, 2], [3]): + fg = c.ledger() + cfg = co(EB) if mode == "CostOnly" else c.pin(EB, [[0], [1], [2]]) + pol = P.FlowPolicy(fg, 0, 1, cfg) + got = [s.place(f"{mode} {v}", pol, v, fg=fg).placed for v in calls] + s.expect(f"{mode} {calls}", got, calls) + finals.append(c.alloc(fg)) + s.expect(f"{mode} 1 + 2 equals 3", finals[0], finals[1]) + s.expect(f"{mode} allocation", finals[1], [1, 1, 1]) + + +@fixture( + "weighted_1_plus_5_vs_6", + "units", + ["16.4"], + "Three equal parallel capacity-2 links, CostOnly Weighted: place(1); place(5) " + "equals place(6) ([2, 2, 2]).", +) +def weighted_additivity(s: PSnap): + c = Ctx(s, "parallel_2", parallel([2, 2, 2])) + finals = [] + for calls in ([1, 5], [6]): + fg = c.ledger() + pol = P.FlowPolicy(fg, 0, 1, co(W)) + got = [s.place(f"{calls} {v}", pol, v, fg=fg).placed for v in calls] + s.expect(f"{calls}", got, calls) + finals.append(c.alloc(fg)) + s.expect("1 + 5 equals 6", finals[0], finals[1]) + s.expect("allocation", finals[1], [2, 2, 2]) + + +# ====================================================================== admission + + +@fixture( + "admission_zero_and_no_route", + "admission", + ["13", "9.4", "8"], + "Zero request: complete, nothing created, flags false. Overlapping endpoint " + "sets (src == dst) are rejected at construction (rule 13). No route: CostOnly " + "over zero-capacity links has an empty static roster (no_route, nothing " + "created); CapacityAware on a zero baseline has a static roster but no residual " + "route (no_route, no id consumed); Pinned with every bundle excluded " + "(usable_bundles 0, no_route).", +) +def admission(s: PSnap): + c = Ctx(s, "diamond_5", diamond(5, 5, 5, 5)) + fg = c.ledger() + pol = P.FlowPolicy(fg, 0, 3, ca(MF)) + r = s.place("request 0", pol, 0) + s.expect( + "zero", + ( + r.termination, + r.placed, + r.routes_changed, + r.weights_changed, + fg.next_flow_id(), + ), + ("complete", 0, False, False, 0), + ) + s.raises("src == dst rejected", P.FlowPolicy, fg, 0, 0, ca(MF)) + s.raises("overlapping sets rejected", P.FlowPolicy, fg, [0, 1], [1, 3], co(MF)) + c0 = Ctx(s, "diamond_0", diamond(0, 0, 0, 0)) + fg0 = c0.ledger() + p0 = P.FlowPolicy(fg0, 0, 3, co(MF)) + r = s.place("CostOnly over zero-capacity links", p0, 1, fg=fg0) + s.expect( + "CostOnly no route", + (r.termination, p0.roster, fg0.records()), + ("no_route", [], []), + ) + fgz = c.ledger([0, 0, 0, 0]) + pz = P.FlowPolicy(fgz, 0, 3, ca(EB, fc=2)) + r = s.place("CapacityAware on a zero residual", pz, 1, fg=fgz) + s.expect( + "CapacityAware no route", (r.termination, fgz.next_flow_id()), ("no_route", 0) + ) + fgd = c.ledger() + elig = c.g.eligibility(excluded_edges=c.ids([0, 2])) + pd = P.FlowPolicy(fgd, 0, 3, c.pin(MF, [[0, 1], [2, 3]]), elig) + r = s.place("Pinned all down", pd, 1, fg=fgd) + s.expect("Pinned no route", (r.termination, pd.usable_bundles()), ("no_route", 0)) + + +# ====================================================================== limits + + +@fixture( + "limits_kmaxflowspercall", + "limits", + ["8b", "9.2", "9.4"], + "kMaxFlowsPerCall is an engine constant (10,000); the fixture lowers the " + "module's test hook to 3. Growth over five 1-unit links stops after 3 creations " + "(limit_flows, placed 3); a Pinned policy with 5 bundles still creates 5 flows " + "(the cap counts CapacityAware creations); two CapacityAware sources share one " + "created counter: source 0 creates 3, source 1's creation is blocked by the cap " + "(local limit_flows, nothing committed for it, no id consumed).", +) +def limits_created(s: PSnap): + s.expect("engine constant", K_MAX_FLOWS_PER_CALL, 10000) + saved = P.MAX_FLOWS_PER_CALL + P.MAX_FLOWS_PER_CALL = 3 + try: + c = Ctx(s, "parallel_1x5", parallel([1] * 5)) + fg = c.ledger() + pol = P.FlowPolicy(fg, 0, 1, ca(MF, priority="Residual")) + r = s.place("request 5", pol, 5) + s.expect( + "growth capped", + (r.placed, r.termination, len(pol.flow_ids())), + (3, "limit_flows", 3), + ) + fg = c.ledger() + pin = P.FlowPolicy(fg, 0, 1, c.pin(MF, [[i] for i in range(5)])) + r = s.place("Pinned 5 bundles", pin, 5, fg=fg) + s.expect("Pinned not capped", (r.placed, len(pin.flow_ids())), (5, 5)) + c2 = Ctx(s, "two_sources", (3, [(0, 2, 1, 1)] * 4 + [(1, 2, 1, 1)] * 4)) + fg = c2.ledger() + two = P.FlowPolicy(fg, [0, 1], 2, ca(MF, priority="Residual")) + r = s.place("two sources request 8", two, 8, fg=fg) + s.expect("offers", r.trace["offers"], {0: 4, 1: 4}) + s.expect( + "local outcomes", + r.trace["local_outcomes"], + {0: "limit_flows", 1: "limit_flows"}, + ) + s.expect( + "result", + (r.placed, r.termination, len(two.flow_ids())), + (3, "limit_flows", 3), + ) + finally: + P.MAX_FLOWS_PER_CALL = saved + + +@fixture( + "limits_diminishing", + "limits", + ["8b", "9.2", "9.4"], + "q = 2^-12: one 50-capacity link (204,800 units) and twenty 0.01 links (41 " + "units each). MaxFlow tunnels (Residual), Diminishing(window 8, fraction 1e-3), " + "request 100 (409,600 units): growth adds 41 units per step; after 8 steps the " + "window sum 328 < 409.6 stops growth (limit_diminishing). Without the guard all " + "20 links are used (exhausted); +inf never arms it.", +) +def limits_diminishing(s: PSnap): + q = 2.0**-12 + from units import to_units + + small = to_units(0.01, q) + big = to_units(50, q) + s.expect("units", (small, big), (41, 204800)) + c = Ctx(s, "fan", parallel([big] + [small] * 20), resolution=q) + dim = P.Diminishing(8, 1e-3) + for label, d, volume, steps, term in ( + ("window8", dim, to_units(100, q), 8, "limit_diminishing"), + ("no guard", None, to_units(100, q), 20, "exhausted"), + ("inf", dim, INF, 20, "exhausted"), + ): + fg = c.ledger() + pol = P.FlowPolicy(fg, 0, 1, ca(MF, priority="Residual", diminishing=d)) + r = s.place(f"{label}", pol, volume, fg=fg) + s.expect( + f"{label}", + (r.placed, r.termination, len(pol.flow_ids())), + (big + steps * small, term, steps + 1), + ) + + +# ====================================================================== lifetime + + +@fixture( + "lifetime_remove_orphan_reset", + "lifetime", + ["8", "18", "13"], + "Section 8 with policies (replaces the invalidation fixture: there is no " + "external removal): reset and copy are rejected while a policy is bound; " + "remove() reverts and retires the ids; a later place opens a new cohort with a " + "new id (routes_changed true); remove() on an empty cohort resets the epoch " + "state; a destroyed policy's records stay as orphans until reset; retired ids " + "throw; ids are never reused.", +) +def lifetime(s: PSnap): + c = Ctx(s, "diamond_5", diamond(5, 5, 5, 5)) + fg = c.ledger() + pol = P.FlowPolicy(fg, 0, 3, ca(MF)) + s.place("request 3", pol, 3) + fid = pol.flow_ids()[0] + s.raises("reset while bound", fg.reset) + s.raises("copy while bound", fg.copy) + pol.remove() + s.expect("reverted", (c.alloc(fg), pol.placed_demand()), ([0, 0, 0, 0], 0)) + s.raises("retired id", fg.record, fid) + r = s.place("restart", pol, 2) + s.expect( + "restart", + (r.routes_changed, r.weights_changed, pol.flow_ids()[0][1]), + (True, False, 1), + ) + pol.remove() + pol.remove() + s.expect( + "empty-cohort remove resets the epoch", + (pol.requested, pol.infinite), + (0, False), + ) + other = P.FlowPolicy(fg, 0, 3, co(EB)) + s.place("other 2", other, 2) + other.destroy() + s.expect("orphan readable", [x.delivered for x in fg.records()], [2]) + s.raises("reset while pol bound", fg.reset) + pol.destroy() + fg.reset() + s.expect("reset clears orphans", (fg.records(), fg.next_flow_id()), ([], 3)) + + +# ====================================================================== Pinned + + +@fixture( + "pinned_kernels_5_1", + "pinned", + ["8a", "19", "16.5"], + "Pinned routes of capacity 5 and 1, request 8: MaxFlow 6 and Weighted 6 " + "(sequential fill, exhausted, remaining 2); EqualBalanced 3 (round robin over " + "the cohort: [2, 1]); Lossy 5 (offers [4, 4]: the 1-route carries 1 and drops 3 " + "on its first link; complete).", +) +def pinned_kernels(s: PSnap): + c = Ctx(s, "diamond_5_1", diamond(5, 5, 1, 1)) + for kernel, adm, placed, term in ( + (MF, LOSSLESS, 6, "exhausted"), + (W, LOSSLESS, 6, "exhausted"), + (EB, LOSSLESS, 3, "exhausted"), + (EB, LOSSY, 5, "complete"), + ): + fg = c.ledger() + pol = P.FlowPolicy(fg, 0, 3, c.pin(kernel, [[0, 1], [2, 3]], adm)) + r = s.place(f"{kernel}/{adm} request 8", pol, 8, fg=fg) + s.expect(f"{kernel}/{adm}", (r.placed, r.termination), (placed, term)) + if adm == LOSSY: + s.expect("Lossy drops", r.drops, [(c.ids([2])[0], 3)]) + + +@fixture( + "pinned_bundle_rules", + "pinned", + ["13", "12", "9.1"], + "Pinned rules: an empty list, duplicate bundles (pre-prune), a bundle without a " + "src -> dst walk and a source set are rejected; bundles that become equal after " + "pruning keep independent flows; a multi-walk DAG bundle with mixed costs " + "reports its minimum-cost walk as route_cost (3, not 4).", +) +def pinned_rules(s: PSnap): + c = Ctx( + s, + "mixed", + (4, [(0, 1, 5, 1), (1, 3, 5, 2), (0, 2, 5, 1), (2, 3, 5, 3), (0, 3, 5, 9)]), + ) + fg = c.ledger() + s.raises( + "empty list", + P.FlowPolicy, + fg, + 0, + 3, + P.FlowPolicyConfig(P.Pinned(()), MF, LOSSLESS, search.Selection()), + ) + s.raises("duplicate", P.FlowPolicy, fg, 0, 3, c.pin(MF, [[0, 1], [0, 1]])) + s.raises("malformed", P.FlowPolicy, fg, 0, 3, c.pin(MF, [[0, 2]])) + s.raises("source set", P.FlowPolicy, fg, [0, 1], 3, c.pin(MF, [[0, 1]])) + elig = c.g.eligibility(excluded_edges=c.ids([4])) + pol = P.FlowPolicy(fg, 0, 3, c.pin(MF, [[0, 1], [0, 1, 4]]), elig) + s.expect("two usable bundles", pol.usable_bundles(), 2) + s.place("request 1", pol, 1) + s.expect( + "independent flows on equal pruned routes", c.routes_of(pol), [[0, 1], [0, 1]] + ) + fg2 = c.ledger() + multi = P.FlowPolicy(fg2, 0, 3, c.pin(MF, [[0, 1, 2, 3]])) + s.place("multi-walk bundle", multi, 7, fg=fg2) + s.expect("route_cost is the min-cost walk", multi.records()[0].route_cost, 3) + s.expect("cheapest walk fills first", c.alloc(fg2), [5, 5, 2, 2, 0]) + + +# ====================================================================== flags + + +@fixture( + "flag_table", + "flags", + ["14", "9.4"], + "The authoritative flag table of revision 20 (flags accumulate committed " + "events): creation (T, F), also at zero delivery; no-op (F, F); saturated call " + "(F, F); adopted Weighted reroute that admits zero (T, T; review-11 C4); " + "rejected growth only (F, F); accepted growth (T, F); EB routes [3, 2, 1] " + "holding 3, request 3: growth onto the second route accepted (gain 2), onto the " + "third rejected: routes_changed stays true; restart after remove() (T, F).", +) +def flag_table(s: PSnap): + c = Ctx(s, "diamond_5", diamond(5, 5, 5, 5)) + fg = c.ledger() + pol = P.FlowPolicy(fg, 0, 3, ca(MF, mx=1)) + rows = {} + rows["creation"] = s.place("creation", pol, 5) + rows["no-op"] = s.place("no-op", pol, 0) + rows["saturated without growth candidate change"] = s.place("saturated", pol, 1) + pol.remove() + rows["restart"] = s.place("restart", pol, 1) + cw = Ctx(s, "parallel_10_20", parallel([10, 20])) + fgw = cw.ledger() + blocking, _ = cw.manual(fgw, 0, 1, [1], 20, "blocking owner") + wsel = tunnel("Capacity") + wpol = P.FlowPolicy( + fgw, + 0, + 1, + P.FlowPolicyConfig( + P.CapacityAware(max_flow_count=1, reoptimize=True), W, LOSSLESS, wsel + ), + ) + s.place("Weighted place(4)", wpol, 4, fg=fgw) + cw.manual(fgw, 0, 1, [0], 6, "owner fills e0") + blocking.remove() + cw.manual(fgw, 0, 1, [1], 16, "owner takes 16 of e1") + rows["adopted Weighted reroute at zero"] = s.place( + "Weighted reroute", wpol, 1, fg=fgw + ) + s.expect( + "reroute admitted zero", rows["adopted Weighted reroute at zero"].placed, 0 + ) + ch = Ctx(s, "harmful", diamond(10, 10, 1, 1, c0=1, c1=2)) + fgh = ch.ledger() + ph = P.FlowPolicy(fgh, 0, 3, ca(EB, fc=1, mx=2)) + s.place("P = 10", ph, 10, fg=fgh) + rows["rejected growth only"] = s.place("rejected growth", ph, 1, fg=fgh) + cg = Ctx(s, "diamond_5b", diamond(5, 5, 5, 5)) + fgg = cg.ledger() + pg = P.FlowPolicy(fgg, 0, 3, ca(EB, fc=1, mx=2)) + s.place("first 5", pg, 5, fg=fgg) + rows["accepted growth"] = s.place("accepted growth", pg, 5, fg=fgg) + c3 = Ctx(s, "routes_3_2_1", routes([(3, 1), (2, 2), (1, 3)])) + fg3 = c3.ledger() + p3 = P.FlowPolicy(fg3, 0, 4, ca(EB, fc=1, mx=3)) + s.place("hold 3", p3, 3, fg=fg3) + r = s.place("request 3", p3, 3, fg=fg3) + decisions = [ + x.get("decision", x.get("stop")) for x in r.trace["sources"][0]["stage4"] + ] + s.expect( + "growth decisions", + [d.split(":")[0] for d in decisions], + ["accepted", "rejected"], + ) + s.expect( + "[3, 2, 1] witness", + (r.placed, r.termination, c3.shares(p3)), + (2, "exhausted", [3, 2]), + ) + rows["accepted then rejected growth"] = r + want = { + "creation": (True, False), + "no-op": (False, False), + "saturated without growth candidate change": (False, False), + "restart": (True, False), + "adopted Weighted reroute at zero": (True, True), + "rejected growth only": (False, False), + "accepted growth": (True, False), + "accepted then rejected growth": (True, False), + } + for name, (rc, wc) in want.items(): + res = rows[name] + s.expect(f"flags: {name}", (res.routes_changed, res.weights_changed), (rc, wc)) + + +@fixture( + "flag_zero_delivery_creation", + "flags", + ["9.4", "8"], + "Revision-20 witness: a first place(1) on a static route whose unit another " + "owner holds creates a zero-delivery record: routes_changed true, termination " + "exhausted, the record stays (CostOnly and Pinned); a second zero-delivery call " + "keeps the same ids and sets no flag (revision 21).", +) +def flag_zero_delivery(s: PSnap): + c = Ctx(s, "one_unit", parallel([1])) + for mode in ("CostOnly", "Pinned"): + fg = c.ledger() + c.manual(fg, 0, 1, [0], 1) + cfg = co(EB) if mode == "CostOnly" else c.pin(EB, [[0]]) + pol = P.FlowPolicy(fg, 0, 1, cfg) + r = s.place(f"{mode} place(1)", pol, 1, fg=fg) + s.expect( + f"{mode}", + ( + r.placed, + r.termination, + r.routes_changed, + [x.delivered for x in pol.records()], + ), + (0, "exhausted", True, [0]), + ) + ids = pol.flow_ids() + r = s.place(f"{mode} place(1) again", pol, 1, fg=fg) + s.expect( + f"{mode} records stay pinned (revision 21)", + (r.placed, r.routes_changed, pol.flow_ids()), + (0, False, ids), + ) + + +# ====================================================================== source sets + + +def two_direct(caps, costs=(1, 1)): + """Sources 0 and 1, each with one link to the destination 2.""" + return 3, [(0, 2, caps[0], costs[0]), (1, 2, caps[1], costs[1])] + + +@fixture( + "sources_lossy_per_source", + "sources", + ["24", "26", "19", "9.3"], + "Lossy per source (replaces the zero-cost forward-versus-reverse witness): " + "sources 0 and 1 reach 3 through X (0->X 4, 1->X 4, X->3 3) and source 1 also " + "through Y (1->Y 4, Y->3 4, cost 2 each). Request 8 offers [4, 4]; source 0 " + "places 3 and drops 1 on X->3; source 1's DAG is its own shortest walks (1->X->3 " + "only, cost 2 < 4) and the full X->3 drops its 4. Delivered 3, complete (both " + "offers injected).", +) +def sources_lossy(s: PSnap): + edges = [(0, 3, 4, 1), (1, 3, 4, 1), (3, 5, 3, 1), (1, 4, 4, 2), (4, 5, 4, 2)] + c = Ctx(s, "per_source", (6, edges)) + fg = c.ledger() + pol = P.FlowPolicy(fg, [0, 1], 5, co(EB, LOSSY)) + r = s.place("request 8", pol, 8) + s.expect("offers", r.trace["offers"], {0: 4, 1: 4}) + s.expect("result", (r.placed, r.termination), (3, "complete")) + recs = {x.sources[0]: x for x in pol.records()} + s.expect( + "source 0", + (recs[0].delivered, dict_to_input(c.g, recs[0].drops)), + (3, [0, 0, 1, 0, 0]), + ) + s.expect( + "source 1", + (recs[1].delivered, dict_to_input(c.g, recs[1].drops)), + (0, [0, 0, 4, 0, 0]), + ) + + +@fixture( + "sources_attribution", + "sources", + ["24", "26", "12", "9.3"], + "Sources A (A->T 1, cost 1) and B (B->M 10, M->T 2, cost 1 each). Lossy " + "request 20 (offers [10, 10]): A delivers 1 and drops 9 on A->T; B delivers 2 " + "and drops 8 on M->T; placed 3, complete. MaxFlow, Weighted and EB per source: " + "1 + 2 = 3, exhausted (the old pseudo-root EB gave 2). Route costs per record: " + "1 and 2.", +) +def sources_attribution(s: PSnap): + c = Ctx(s, "attribution", (4, [(0, 3, 1, 1), (1, 2, 10, 1), (2, 3, 2, 1)])) + fg = c.ledger() + pol = P.FlowPolicy(fg, [0, 1], 3, co(EB, LOSSY)) + r = s.place("Lossy 20", pol, 20) + recs = {x.sources[0]: x for x in pol.records()} + s.expect("Lossy", (r.placed, r.termination), (3, "complete")) + s.expect( + "A", + ( + recs[0].offered, + recs[0].delivered, + sum(recs[0].drops.values()), + recs[0].route_cost, + ), + (10, 1, 9, 1), + ) + s.expect( + "B", + ( + recs[1].offered, + recs[1].delivered, + sum(recs[1].drops.values()), + recs[1].route_cost, + ), + (10, 2, 8, 2), + ) + for kernel in (MF, W, EB): + fg = c.ledger() + pol = P.FlowPolicy(fg, [0, 1], 3, co(kernel)) + r = s.place(f"{kernel} 20", pol, 20, fg=fg) + s.expect( + f"{kernel}", + (r.placed, r.termination, [x.delivered for x in pol.records()]), + (3, "exhausted", [1, 2]), + ) + + +@fixture( + "sources_eb_per_source", + "sources", + ["26", "9.3"], + "EqualBalanced per source (independent routers, rule 26): A (A->T 4, cost 1) " + "and B (B->T 10, cost 2). Request 20 offers [10, 10]: A places 4, B places 10, " + "total 14 (the old pseudo-root flow with joint equalisation capped both at 4: " + "8). +inf also 14.", +) +def sources_eb(s: PSnap): + c = Ctx(s, "two_direct", two_direct((4, 10), (1, 2))) + for v, term in ((20, "exhausted"), (INF, "exhausted")): + fg = c.ledger() + pol = P.FlowPolicy(fg, [0, 1], 2, co(EB)) + r = s.place(f"EB {v}", pol, v, fg=fg) + s.expect( + f"EB {v}", + (r.placed, r.termination, [x.delivered for x in pol.records()]), + (14, term, [4, 10]), + ) + + +@fixture( + "sources_augmentation_edges", + "sources", + ["21", "9.3"], + "User augmentation links are ordinary positive-cost edges (no custom fanout): " + "source A with a real link A->T (1, cost 2) and an augmentation path A->X->T " + "(9 each, cost 1): the CostOnly DAG holds both cost-2 walks; MaxFlow places 10; " + "EB splits [ceil, floor] at A over A->X (lower id) and A->T: 3.", +) +def sources_augmentation(s: PSnap): + c = Ctx(s, "augmentation", (3, [(0, 2, 1, 2), (0, 1, 9, 1), (1, 2, 9, 1)])) + for kernel, placed in ((MF, 10), (EB, 3)): + fg = c.ledger() + r = s.place(f"{kernel} +inf", P.FlowPolicy(fg, 0, 2, co(kernel)), INF, fg=fg) + s.expect(f"{kernel}", r.placed, placed) + + +@fixture( + "sources_inf_every_kernel", + "sources", + ["24", "15", "9.3"], + "+inf per source on the attribution graph: MaxFlow 3, Weighted 3, EB 3 " + "(exhausted); Lossy injects every source member to its residual (A 1, B 10): " + "delivered 3, offered 11, drops 8, exhausted.", +) +def sources_inf(s: PSnap): + c = Ctx(s, "attribution", (4, [(0, 3, 1, 1), (1, 2, 10, 1), (2, 3, 2, 1)])) + for kernel in (MF, W, EB): + fg = c.ledger() + r = s.place( + f"{kernel} +inf", P.FlowPolicy(fg, [0, 1], 3, co(kernel)), INF, fg=fg + ) + s.expect(f"{kernel}", (r.placed, r.termination), (3, "exhausted")) + fg = c.ledger() + pol = P.FlowPolicy(fg, [0, 1], 3, co(EB, LOSSY)) + r = s.place("Lossy +inf", pol, INF, fg=fg) + s.expect( + "Lossy", + ( + r.placed, + r.termination, + sum(x.offered for x in pol.records()), + sum(sum(x.drops.values()) for x in pol.records()), + ), + (3, "exhausted", 11, 8), + ) + + +@fixture( + "sources_limits_and_validation", + "sources", + ["13", "9.3"], + "Endpoint-set validation: Pinned with a source set, an empty source set and " + "overlapping sets are rejected; an excluded source is skipped from the roster " + "(roster [1]); a source that does not reach a destination statically is not in " + "the roster; three sources of a CostOnly policy create three records.", +) +def sources_validation(s: PSnap): + c = Ctx( + s, + "three_sources", + (5, [(0, 3, 5, 1), (1, 3, 5, 1), (2, 3, 5, 1), (4, 0, 1, 1)]), + ) + fg = c.ledger() + s.raises("Pinned source set", P.FlowPolicy, fg, [0, 1], 3, c.pin(MF, [[0]])) + s.raises("empty source set", P.FlowPolicy, fg, [], 3, co(MF)) + s.raises("overlap", P.FlowPolicy, fg, [0, 3], 3, co(MF)) + elig = c.g.eligibility(excluded_nodes=[0]) + pe = P.FlowPolicy(fg, [0, 1], 3, co(MF), elig) + s.expect("excluded source skipped", pe.roster, [1]) + fg2 = c.ledger() + p3 = P.FlowPolicy(fg2, [0, 1, 2], 3, co(MF)) + r = s.place("three sources request 3", p3, 3, fg=fg2) + s.expect("three records", (r.placed, len(p3.records())), (3, 3)) + c2 = Ctx(s, "unreachable_source", (3, [(0, 2, 5, 1), (2, 1, 5, 1)])) + p = P.FlowPolicy(c2.ledger(), [0, 1], 2, co(MF)) + s.expect("roster excludes a source without a static route", p.roster, [0]) + + +@fixture( + "sources_maxflow_vs_global", + "sources", + ["24", "27", "9.3"], + "Independent sources versus the controller: 0->2 (cost 2), 1->2 (cost 1), " + "2->3 (cost 1) and 0->3 (cost 5), unit capacities. CostOnly MaxFlow per source: " + "source 0's DAG is its shortest walk 0->2->3 (cost 3) and takes the shared " + "edge; source 1 then finds 2->3 full: +inf places 1. Global's unique optimum " + "(cost 7 against 8) routes source 0 over 0->3 and source 1 over 1->2->3: 2 (the " + "per-source DAGs cannot cancel across sources).", +) +def sources_vs_global(s: PSnap): + c = Ctx( + s, "shared_edge", (4, [(0, 2, 1, 2), (1, 2, 1, 1), (2, 3, 1, 1), (0, 3, 1, 5)]) + ) + fg = c.ledger() + r = s.place( + "CostOnly MaxFlow +inf", P.FlowPolicy(fg, [0, 1], 3, co(MF)), INF, fg=fg + ) + s.expect("per source", r.placed, 1) + fg = c.ledger() + pg = P.FlowPolicy(fg, [0, 1], 3, glob()) + r = s.place("Global +inf", pg, INF, fg=fg) + s.expect("Global", (r.placed, c.alloc(fg)), (2, [0, 1, 1, 1])) + s.expect( + "Global per-source records", + [(x.sources[0], x.delivered) for x in pg.records()], + [(0, 1), (1, 1)], + ) + + +@fixture( + "sources_split_cumulative", + "sources", + ["24", "16.7", "9.3"], + "The source split is over the cumulative request (16.7): sources A, B, C with " + "direct links of 10. place(1); place(1) offers [1, 0, 0] then [0, 1, 0] (round " + "robin of 2 is [1, 1, 0]), identical to place(2); a per-call split would offer " + "[1, 0, 0] twice (control). Lossy follows the same cumulative split: two calls " + "of 1 over two sources offer [1, 1].", +) +def sources_split(s: PSnap): + c = Ctx(s, "three_direct", (4, [(0, 3, 10, 1), (1, 3, 10, 1), (2, 3, 10, 1)])) + fg = c.ledger() + pol = P.FlowPolicy(fg, [0, 1, 2], 3, co(MF)) + a = s.place("call 1", pol, 1) + b = s.place("call 2", pol, 1) + s.expect( + "offers", + (a.trace["offers"], b.trace["offers"]), + ({0: 1, 1: 0, 2: 0}, {0: 0, 1: 1, 2: 0}), + ) + fg2 = c.ledger() + s.place("one call of 2", P.FlowPolicy(fg2, [0, 1, 2], 3, co(MF)), 2, fg=fg2) + s.expect("1 + 1 equals 2", c.alloc(fg), c.alloc(fg2)) + s.expect("per-call split control differs", [1, 0, 0] + [1, 0, 0] != [1, 1, 0], True) + c2 = Ctx(s, "two_direct", two_direct((5, 5))) + fg3 = c2.ledger() + lp = P.FlowPolicy(fg3, [0, 1], 2, co(EB, LOSSY)) + x = s.place("Lossy 1", lp, 1, fg=fg3) + y = s.place("Lossy 1", lp, 1, fg=fg3) + s.expect( + "Lossy cumulative offers", + (x.trace["offers"], y.trace["offers"]), + ({0: 1, 1: 0}, {0: 0, 1: 1}), + ) + + +@fixture( + "sources_1_9_request_4", + "sources", + ["24", "9.3", "9.4"], + "Review-13 source budget witness: sources with capacities [1, 9], request 4 " + "offers [2, 2]; deliveries [1, 2]; unserved remainders are not redistributed: " + "placed 3, remaining 1; local outcomes exhausted and complete; call exhausted.", +) +def sources_1_9(s: PSnap): + c = Ctx(s, "two_direct_1_9", two_direct((1, 9))) + for kernel in (MF, W, EB): + fg = c.ledger() + pol = P.FlowPolicy(fg, [0, 1], 2, co(kernel)) + r = s.place(f"{kernel} request 4", pol, 4, fg=fg) + s.expect( + f"{kernel}", + ( + r.trace["offers"], + [x.delivered for x in pol.records()], + r.placed, + r.remaining, + r.trace["local_outcomes"], + r.termination, + ), + ({0: 2, 1: 2}, [1, 2], 3, 1, {0: "exhausted", 1: "complete"}, "exhausted"), + ) + + +@fixture( + "sources_partition_1_1_vs_2_0", + "sources", + ["24", "16.4", "9.2"], + "Source-set allocation is partition-dependent (review-14 R3; 16.4 excludes " + "competing sources): 0->2 and 1->2 (2 each) share 2->3 (2). place(2); place(2) " + "gives deliveries [1, 1] (the second call finds 2->3 full); place(4) gives " + "[2, 0] (source 0 is placed first in ascending NodeId). Same total, different " + "records: independent sources, no reassignment.", +) +def sources_partition(s: PSnap): + c = Ctx(s, "shared_2", (4, [(0, 2, 2, 1), (1, 2, 2, 1), (2, 3, 2, 1)])) + out = [] + for calls in ([2, 2], [4]): + fg = c.ledger() + pol = P.FlowPolicy(fg, [0, 1], 3, co(MF)) + for v in calls: + s.place(f"{calls} call {v}", pol, v, fg=fg) + out.append([x.delivered for x in pol.records()]) + s.expect("partition dependence", out, [[1, 1], [2, 0]]) + + +@fixture( + "eb_two_flows_per_source_reservation", + "sources", + ["9.2", "9.3", "8b"], + "Per-source binding of the EB reservation target (review-16 R4): two sources, " + "EB CapacityAware flow_count 2 each, request 4: offers [2, 2], each source's " + "target (P_s + v_s) div flow_count = 1 per flow (not the policy-wide 2).", +) +def eb_reservation_binding(s: PSnap): + c = Ctx( + s, + "two_sources_two_links", + (3, [(0, 2, 5, 1), (0, 2, 5, 1), (1, 2, 5, 1), (1, 2, 5, 1)]), + ) + fg = c.ledger() + pol = P.FlowPolicy(fg, [0, 1], 2, ca(EB, fc=2, mx=2, sel=tunnel("Residual"))) + r = s.place("request 4", pol, 4) + targets = {src: tr["stage1"]["eb_target"] for src, tr in r.trace["sources"].items()} + reserved = { + src: [x["reserved"] for x in tr["stage1"]["reservations"]] + for src, tr in r.trace["sources"].items() + } + s.expect("targets", targets, {0: 1, 1: 1}) + s.expect("reservations", reserved, {0: [1, 1], 1: [1, 1]}) + s.expect("result", (r.placed, r.termination), (4, "complete")) + + +# ====================================================================== termination + + +@fixture( + "termination_reduction", + "termination", + ["9.4", "14"], + "Local outcomes and the reduction limit_flows > limit_diminishing > exhausted > " + "no_route over unserved sources (review-16 R2): one limit_flows and one " + "exhausted give limit_flows; two sources without routes give no_route; one " + "exhausted and one no_route give exhausted; a fixed-count cohort full is " + "exhausted; a Lossy finite offer consumed with drops is complete; v = 0 is " + "complete; an empty static roster is no_route.", +) +def termination(s: PSnap): + # limit_flows + exhausted: source 0 grows over two 1-unit links with max 3 > + # flow_count 1 (limit_flows needs the guard to fire: max 2 reached with + # remaining offer); source 1 has one 1-unit link and no growth candidate. + c = Ctx(s, "mixed", (3, [(0, 2, 1, 1), (0, 2, 1, 1), (0, 2, 1, 1), (1, 2, 1, 1)])) + fg = c.ledger() + pol = P.FlowPolicy(fg, [0, 1], 2, ca(MF, priority="Residual", fc=1, mx=2)) + r = s.place("request 6 (offers [3, 3])", pol, 6) + s.expect( + "limit_flows + exhausted", + (r.trace["local_outcomes"], r.termination), + ({0: "limit_flows", 1: "exhausted"}, "limit_flows"), + ) + cz = Ctx(s, "no_routes", (3, [(0, 2, 1, 1), (1, 2, 1, 1)])) + fgz = cz.ledger([0, 0]) + pz = P.FlowPolicy(fgz, [0, 1], 2, ca(MF)) + r = s.place("two sources without routes", pz, 2, fg=fgz) + s.expect( + "no_route + no_route", + (r.trace["local_outcomes"], r.termination), + ({0: "no_route", 1: "no_route"}, "no_route"), + ) + fge = cz.ledger([1, 0]) + pe = P.FlowPolicy(fge, [0, 1], 2, ca(MF, mx=1)) + r = s.place("exhausted + no_route", pe, 4, fg=fge) + s.expect( + "exhausted + no_route", + (r.trace["local_outcomes"], r.termination), + ({0: "exhausted", 1: "no_route"}, "exhausted"), + ) + cf = Ctx(s, "fixed", parallel([1])) + fgf = cf.ledger() + r = s.place("fixed count", P.FlowPolicy(fgf, 0, 1, ca(MF, fc=1, mx=1)), 2, fg=fgf) + s.expect("fixed-count cohort full", (r.placed, r.termination), (1, "exhausted")) + cl = Ctx(s, "lossy", parallel([1, 10])) + fgl = cl.ledger() + r = s.place( + "Lossy finite with drops", P.FlowPolicy(fgl, 0, 1, co(EB, LOSSY)), 4, fg=fgl + ) + s.expect( + "Lossy complete with drops", + (r.placed, r.termination, r.remaining), + (3, "complete", 1), + ) + r = s.place("v = 0", P.FlowPolicy(cl.ledger(), 0, 1, co(EB)), 0) + s.expect("v = 0", r.termination, "complete") + c0 = Ctx(s, "no_roster", (2, [(0, 1, 0, 1)])) + p0 = P.FlowPolicy(c0.ledger(), 0, 1, co(EB)) + r = s.place("empty roster", p0, 1) + s.expect("empty roster", (r.termination, r.local_outcomes), ("no_route", [])) + s.place("empty roster +inf", p0, INF) + s.raises("finite after +inf with an empty roster", p0.place, 1) + + +@fixture( + "eb_resplit_3_3_to_3_2_2", + "growth", + ["16.3", "9.2"], + "Review-16 R7: CapacityAware EB, flow_count 2, max 3, three disjoint routes of " + "capacities [3, 3, 2] and increasing cost. Request 6 reserves 3 on each of the " + "first two ([3, 3]). Request 1: stage 3 cannot grow the pair; growth adds the " + "third route and the cohort total 7 is resplit [3, 2, 2]: the second flow loses " + "1 while the cohort and placed_demand() gain 1 (individual T_i and edge deltas " + "may decrease; the cohort total never does).", +) +def eb_resplit(s: PSnap): + c = Ctx(s, "routes_3_3_2", routes([(3, 1), (3, 2), (2, 3)])) + fg = c.ledger() + pol = P.FlowPolicy(fg, 0, 4, ca(EB, fc=2, mx=3)) + r = s.place("request 6", pol, 6) + s.expect("first", (r.placed, c.shares(pol)), (6, [3, 3])) + before = c.alloc(fg) + r = s.place("request 1", pol, 1) + s.expect( + "resplit", + (r.placed, r.termination, c.shares(pol), pol.placed_demand()), + (1, "complete", [3, 2, 2], 7), + ) + delta = [a - b for a, b in zip(c.alloc(fg), before, strict=True)] + s.expect("edge deltas (signed)", delta, [0, 0, -1, -1, 2, 2]) + + +# ====================================================================== Global + + +@fixture( + "global_chain_plus_bypasses", + "global", + ["27", "25", "16.4"], + "Global is a replacement kernel (review-13 D5): chain 0-1-2-3 (cost 1) with " + "bypasses 0->2 and 1->3 (cost 3). place(1) takes the chain (cost 3); the next " + "place(1) re-solves the cumulative value 2 on W + own: both bypasses, the middle " + "edge released, placed 1 (total 2, not 1), cost_distribution [(3, 1), (5, 1)], " + "routes_changed true (support changed). place(2) on a fresh ledger gives the " + "same allocation and curve (additive on a fixed view).", +) +def global_chain(s: PSnap): + c = Ctx( + s, + "chain", + (4, [(0, 1, 1, 1), (1, 2, 1, 1), (2, 3, 1, 1), (0, 2, 1, 3), (1, 3, 1, 3)]), + ) + fg = c.ledger() + pol = P.FlowPolicy(fg, 0, 3, glob()) + a = s.place("place(1)", pol, 1) + s.expect( + "first", + (a.placed, a.cost_distribution, c.alloc(fg), a.routes_changed), + (1, [(3, 1)], [1, 1, 1, 0, 0], True), + ) + b = s.place("place(1)", pol, 1) + s.expect( + "second", + (b.placed, b.cost_distribution, c.alloc(fg), b.routes_changed), + (1, [(3, 1), (5, 1)], [1, 0, 1, 1, 1], True), + ) + fg2 = c.ledger() + p2 = P.FlowPolicy(fg2, 0, 3, glob()) + r = s.place("place(2)", p2, 2, fg=fg2) + s.expect( + "additive on a fixed view", + (r.cost_distribution, c.alloc(fg2)), + (b.cost_distribution, c.alloc(fg)), + ) + sol = {k: v for k, v in b.trace["flow_core"].items() if k != "supply"} + s.expect( + "maximal at cap 2: min_cut present", + sorted(sol["min_cut"]), + sorted(c.ids([0, 3])), + ) + s.check( + "cumulative solve certified", + not certify.check_solve(c.g, list(c.g.capacity), [0], [3], 2, sol, tier="a"), + ) + + +@fixture( + "global_capped_underfill_control", + "global", + ["2.2", "27"], + "Attained value at the policy level: Global place(2) on one 3-unit edge places " + "2 (min_cut None: a residual path is left; requested with bottleneck outputs), " + "the cumulative solve passes the certificate; a mutated producer returning 1 " + "under cap 2 is rejected; place(+inf) then places the last unit and min_cut is " + "[0].", +) +def global_underfill(s: PSnap): + c = Ctx(s, "one_edge", (2, [(0, 1, 3, 7)])) + fg = c.ledger() + pol = P.FlowPolicy(fg, 0, 1, glob()) + r = s.place("place(2)", pol, 2, outputs=P.Outputs(bottleneck=True)) + s.expect("capped", (r.placed, r.termination, r.min_cut), (2, "complete", None)) + payload = {k: v for k, v in r.trace["flow_core"].items() if k != "supply"} + s.check( + "certified", not certify.check_solve(c.g, [3], [0], [1], 2, payload, tier="a") + ) + bad = dict(payload, placed=1, edge_flows=[1], cost_distribution=[[7, 1]]) + s.check( + "underfill rejected", + bool(certify.check_solve(c.g, [3], [0], [1], 2, bad, tier="a")), + ) + r = s.place("place(+inf)", pol, INF, outputs=P.Outputs(bottleneck=True)) + s.expect("maximal", (r.placed, r.termination, r.min_cut), (1, "exhausted", [0])) + + +@fixture( + "global_zero_growth_support_change", + "global", + ["9.4", "27", "20"], + "Review-16 R1: edges 0->1 (cost 1, cap 1), 0->1 (cost 3, cap 2), 1->2 (cap 2). " + "Owner X holds the cheap link and one unit of 1->2; Global place(1) takes the " + "costly link (cost 4). X leaves; owner Y takes the costly link and the rest of " + "1->2. Global place(1): the view admits no growth (placed 0, exhausted) but the " + "re-solve moves the unit onto the released cheap link (cost 2): routes_changed " + "true at placed 0; Y untouched; the next place(1) changes nothing (flags false).", +) +def global_support(s: PSnap): + c = Ctx(s, "release", (3, [(0, 1, 1, 1), (0, 1, 2, 3), (1, 2, 2, 1)])) + fg = c.ledger() + x, _ = c.manual(fg, 0, 2, [0, 2], 1, "X") + pol = P.FlowPolicy(fg, 0, 2, glob()) + r = s.place("Global place(1)", pol, 1) + s.expect("costly", (r.placed, c.own(fg, pol)), (1, [0, 1, 1])) + x.remove() + y, _ = c.manual(fg, 0, 2, [1, 2], 1, "Y") + r = s.place("Global place(1) at zero growth", pol, 1) + s.expect( + "moved", + (r.placed, r.termination, r.routes_changed, c.own(fg, pol)), + (0, "exhausted", True, [1, 0, 1]), + ) + s.expect("Y untouched", c.own(fg, y), [0, 1, 1]) + r = s.place("Global place(1) unchanged", pol, 1) + s.expect( + "unchanged", (r.placed, r.routes_changed, r.weights_changed), (0, False, False) + ) + + +@fixture( + "global_epochs", + "global", + ["8", "27", "9.1"], + "Epochs for Global (review-16, revision 20): sources 0 (cost 3) and 1 (cost 1), " + "each directly connected to the destination with capacity 2. place(0) creates " + "nothing; place(1) opens the cohort with records for both sources (ids [0, 1]) " + "and supply [0, 1] (no round robin: the controller picks the cheaper source); " + "remove(); place(1) again supplies [0, 1] under ids [2, 3]. place(+inf) gives 4; " + "a finite request and place(0) after +inf are rejected; remove(); place(1) is " + "accepted.", +) +def global_epochs(s: PSnap): + c = Ctx(s, "two_costs", two_direct((2, 2), (3, 1))) + fg = c.ledger() + pol = P.FlowPolicy(fg, [0, 1], 2, glob()) + r = s.place("place(0)", pol, 0) + s.expect("no creation", (r.termination, fg.next_flow_id()), ("complete", 0)) + r = s.place("place(1)", pol, 1) + s.expect( + "epoch 1", + ( + [x.flow_id[1] for x in pol.records()], + [x.delivered for x in pol.records()], + r.routes_changed, + ), + ([0, 1], [0, 1], True), + ) + pol.remove() + r = s.place("place(1) after remove", pol, 1) + s.expect( + "epoch 2", + ( + [x.flow_id[1] for x in pol.records()], + [x.delivered for x in pol.records()], + r.routes_changed, + ), + ([2, 3], [0, 1], True), + ) + r = s.place("place(+inf)", pol, INF) + s.expect( + "+inf", (r.placed, pol.placed_demand(), r.termination), (3, 4, "exhausted") + ) + s.raises("finite after +inf", pol.place, 1) + s.raises("place(0) after +inf", pol.place, 0) + pol.remove() + r = s.place("place(1) in a new epoch", pol, 1) + s.expect("accepted", r.placed, 1) + + +@fixture( + "epochs_place_remove_place", + "lifetime", + ["8", "9.3", "24"], + "Section 8's epoch law for CostOnly over two sources: place(1) offers [1, 0] " + "and creates both records (ids [0, 1], source 1 at zero delivery); remove(); " + "place(1) offers [1, 0] again (requested reset) with ids [2, 3]; " + "place(+inf); remove(); place(1) is accepted; remove() on an empty cohort " + "resets the epoch state.", +) +def epochs(s: PSnap): + c = Ctx(s, "two_direct", two_direct((5, 5))) + fg = c.ledger() + pol = P.FlowPolicy(fg, [0, 1], 2, co(MF)) + r = s.place("place(1)", pol, 1) + s.expect( + "epoch 1", + ( + r.trace["offers"], + [x.flow_id[1] for x in pol.records()], + [x.delivered for x in pol.records()], + ), + ({0: 1, 1: 0}, [0, 1], [1, 0]), + ) + pol.remove() + r = s.place("place(1) after remove", pol, 1) + s.expect( + "epoch 2", + (r.trace["offers"], [x.flow_id[1] for x in pol.records()]), + ({0: 1, 1: 0}, [2, 3]), + ) + s.place("place(+inf)", pol, INF) + pol.remove() + r = s.place("place(1) after +inf and remove", pol, 1) + s.expect("accepted", (r.placed, r.trace["offers"]), (1, {0: 1, 1: 0})) + pol.remove() + pol.remove() + s.expect( + "reset state", (pol.requested, pol.infinite, pol.records()), (0, False, []) + ) + + +@fixture( + "collapse_projection_every_priority", + "selection", + ["16", "9.1", "10"], + "Selection is a projection at creation on the full static support (review-15 " + "C4, review-16): equal-cost parallel links of capacities [3, 2], creation " + "residual [0, 2] (another owner holds link 0). A CostOnly EB policy with " + "multi_edge false keeps link 1 under PreferHigherPriority with Residual or " + "Headroom and link 0 otherwise, for both multipath settings (12 cases).", +) +def collapse_projection(s: PSnap): + c = Ctx(s, "parallel_3_2", parallel([3, 2])) + for mp in (False, True): + for tie in (search.DETERMINISTIC, search.PREFER): + for prio in search.PRIORITIES: + fg = c.ledger() + c.manual(fg, 0, 1, [0], 3) + sel = search.Selection( + multipath=mp, multi_edge=False, tie_break=tie, priority=prio + ) + pol = P.FlowPolicy(fg, 0, 1, co(EB, sel=sel)) + s.place(f"mp={mp} {tie} {prio}", pol, 1, fg=fg) + want = [1] if tie == search.PREFER and prio != "Capacity" else [0] + s.expect(f"mp={mp} {tie} {prio}", c.routes_of(pol), [want]) + + +@fixture( + "eb_growth_equal_route_stop", + "growth", + ["8b", "9.2"], + "Revision 24: with multipath routes growth never adds a flow on a DAG " + "structurally equal to an existing flow's route. Parallel links of capacity 1 and 5, EB " + "CapacityAware multipath, flow_count 1, no max: the first flow (both links) is " + "capped at 2 by round robin over the 1-unit link; growth adds a flow on the " + "5-unit link alone (cohort [2, 2], gain 2); the next candidate is that same " + "route and growth stops: placed 4, exhausted (before revision 24 each further " + "equal-route flow raised the bound by a rounding remainder).", +) +def eb_growth_equal_route(s: PSnap): + c = Ctx(s, "parallel_1_5", parallel([1, 5])) + fg = c.ledger() + pol = P.FlowPolicy(fg, 0, 1, ca(EB, fc=1, sel=search.Selection())) + r = s.place("request 100", pol, 100) + s.expect( + "result", (r.placed, r.termination, r.routes_changed), (4, "exhausted", True) + ) + s.expect( + "routes and shares", (c.routes_of(pol), c.shares(pol)), ([[0, 1], [1]], [2, 2]) + ) + last = r.trace["sources"][0]["stage4"][-1] + s.expect("growth stop reason", last["stop"], "candidate equals a cohort route") + + +@fixture( + "capacityaware_blocked_inf_remove_place", + "lifetime", + ["8", "9.4", "13"], + "A CapacityAware policy whose static roster is non-empty but whose residual " + "routes are blocked by another owner: place(+inf) creates nothing (no_route, no " + "id consumed) yet opens the infinite state, so place(1) is rejected; remove() on " + "the empty cohort resets the epoch state and place(1) is accepted (no_route while " + "blocked); after the owner leaves, place(1) creates the cohort with the next id.", +) +def capacityaware_blocked(s: PSnap): + c = Ctx(s, "one_link", parallel([3])) + fg = c.ledger() + other, _ = c.manual(fg, 0, 1, [0], 3, "owner blocks the only link") + pol = P.FlowPolicy(fg, 0, 1, ca(MF)) + s.expect("static roster", pol.roster, [0]) + nxt = fg.next_flow_id() + r = s.place("place(+inf)", pol, INF) + s.expect( + "+inf creates nothing", + (r.placed, r.termination, r.routes_changed, fg.next_flow_id()), + (0, "no_route", False, nxt), + ) + s.raises("place(1) after +inf in the same epoch", pol.place, 1) + pol.remove() + s.expect("epoch reset", (pol.requested, pol.infinite), (0, False)) + r = s.place("place(1) after remove", pol, 1) + s.expect( + "accepted, still blocked", + (r.placed, r.termination, fg.next_flow_id()), + (0, "no_route", nxt), + ) + other.remove() + r = s.place("place(1) after release", pol, 1) + s.expect( + "created", + (r.placed, r.termination, r.routes_changed, pol.flow_ids()[0][1]), + (1, "complete", True, nxt), + ) + + +@fixture( + "eb_growth_single_path_repeat", + "growth", + ["8b", "9.2"], + "Revision 24 (owner review): a repeated single path is a legitimate growth " + "candidate. Parallel links of capacity 1 and 2, EB CapacityAware single-path " + "tunnels (Deterministic, Collapse keeps the lowest id), flow_count 1, request 3: " + "the first tunnel takes the 1-link (1), growth adds a tunnel on the 2-link " + "(cohort 2, shares [1, 1]), then a third tunnel repeating the 2-link path (cohort " + "3, shares [1, 1, 1]): complete with three tunnels of 1. Stopping on the repeated " + "path would have ended at 2 (exhausted).", +) +def eb_growth_single_path(s: PSnap): + c = Ctx(s, "parallel_1_2", parallel([1, 2])) + fg = c.ledger() + pol = P.FlowPolicy( + fg, 0, 1, ca(EB, fc=1, sel=tunnel("Residual", search.DETERMINISTIC)) + ) + r = s.place("request 3", pol, 3) + s.expect( + "result", (r.placed, r.termination, r.routes_changed), (3, "complete", True) + ) + s.expect( + "three tunnels of 1", + (c.routes_of(pol), c.shares(pol)), + ([[0], [1], [1]], [1, 1, 1]), + ) diff --git a/tests/reference/policy/p2_transaction/policy.py b/tests/reference/policy/p2_transaction/policy.py new file mode 100644 index 0000000..e2d767a --- /dev/null +++ b/tests/reference/policy/p2_transaction/policy.py @@ -0,0 +1,1048 @@ +"""The policy engine ``FlowPolicy`` in integer units (APPROACH revision 24, 8 and 9). + +One placement engine for every routing mode: ``CostOnly``, ``CapacityAware``, +``Global`` and ``Pinned``, the kernels ``MaxFlow``, ``Weighted`` and +``EqualBalanced`` and the admissions ``Lossless`` and ``Lossy`` (prototype 1's +kernels). The transaction of 9.2 runs per source (9.3) for ``CostOnly`` and +``CapacityAware``: the roster is fixed at construction (eligible sources that +statically reach a destination, ascending NodeId), each source is offered the +increment of its round-robin share of the cumulative request, and the stages run on +the shared working residual ``W``; ``created`` is one counter per call; there is one +commit. ``Pinned`` and ``Global`` have one "source", the policy. ``Global`` is a +replacement kernel over the whole eligible graph with the canonical per-source +decomposition. Local outcomes, the termination reduction and the flag table follow +9.4 (revision 20: flags accumulate committed events). Epochs follow section 8. + +Readings where the contract is silent are listed in ``NOTES.md`` (P-numbers). +""" + +from __future__ import annotations + +import copy +from dataclasses import dataclass, field +from fractions import Fraction + +import _p1 # noqa: F401 +import flowcore +import kernels as K +import search +from apportion import round_robin +from graph import Eligibility, check_dag_edges, check_disjoint, check_node_set +from ledger import Draft, FlowGraph +from units import ( + INF, + K_MAX_FLOWS_PER_CALL, + UNREACHABLE, + ContractError, + check_request, +) + +MF, W_, EB = K.MAX_FLOW, K.WEIGHTED, K.EQUAL_BALANCED +LOSSLESS, LOSSY = K.LOSSLESS, K.LOSSY +OUTCOME_RANK = {"limit_flows": 4, "limit_diminishing": 3, "exhausted": 2, "no_route": 1} + +# Test hook only: the engine constant kMaxFlowsPerCall is 10,000 (9.2); fixtures +# that exercise the call-wide cap override this module attribute (NOTES P9). +MAX_FLOWS_PER_CALL = K_MAX_FLOWS_PER_CALL + + +# ====================================================================== configuration + + +@dataclass(frozen=True) +class CostOnly: + pass + + +@dataclass(frozen=True) +class Diminishing: + window: int + fraction: float + + +@dataclass(frozen=True) +class CapacityAware: + flow_count: int = 1 + max_flow_count: int | None = None + max_path_cost: tuple | None = None + min_flow_bandwidth: int = 0 + reoptimize: bool = False + diminishing: Diminishing | None = None + + +@dataclass(frozen=True) +class Global: + pass + + +@dataclass(frozen=True) +class Pinned: + bundles: tuple[tuple[int, ...], ...] + + +@dataclass(frozen=True) +class FlowPolicyConfig: + routing: object + placement: str + admission: str + selection: search.Selection + + +@dataclass +class Outputs: + edge_flows: bool = False + residual: bool = False + bottleneck: bool = False + + +@dataclass +class PlacementResult: + placed: int + remaining: int | None + termination: str + routes_changed: bool + weights_changed: bool + drops: list[tuple[int, int]] + cost_distribution: list[tuple[int, int]] | None = None + edge_flows: list[int] | None = None + residual: list[int] | None = None + bottleneck: list[int] | None = None + min_cut: list[int] | None = None + local_outcomes: list[tuple[int, str]] = field(default_factory=list) + trace: dict = field(default_factory=dict) + + def to_json(self) -> dict: + out = { + "placed": self.placed, + "remaining": "inf" if self.remaining is None else self.remaining, + "termination": self.termination, + "routes_changed": self.routes_changed, + "weights_changed": self.weights_changed, + "drops": [list(x) for x in self.drops], + "local_outcomes": [list(x) for x in self.local_outcomes], + } + if self.cost_distribution is not None: + out["cost_distribution"] = [list(x) for x in self.cost_distribution] + for name in ("edge_flows", "residual", "bottleneck", "min_cut"): + value = getattr(self, name) + if value is not None: + out[name] = list(value) + return out + + +# ====================================================================== working flows + + +@dataclass +class Flow: + src: int + route: tuple[int, ...] + plan: K.Plan + cost: int + flow_id: tuple[int, int] | None = None + T: int = 0 + alloc: dict[int, int] = field(default_factory=dict) + offered: int | None = None + delivered: int = 0 + drops: dict[int, int] = field(default_factory=dict) + new: bool = False + seq: int = 0 + bundle_index: int | None = None + + +def add_view(W: list[int], alloc: dict[int, int]) -> list[int]: + out = list(W) + for e, x in alloc.items(): + out[e] += x + return out + + +def sub_view(V: list[int], alloc: dict[int, int]) -> list[int]: + out = list(V) + for e, x in alloc.items(): + out[e] -= x + assert out[e] >= 0, ("overfilled view", e) + return out + + +def merge(allocs) -> dict[int, int]: + out: dict[int, int] = {} + for a in allocs: + for e, x in a.items(): + out[e] = out.get(e, 0) + x + return out + + +@dataclass +class SourceState: + """Per-source scope of one call (9.2 binding table).""" + + src: int + offer: int | None + P: int + B: int | None + T_entry: int + flows: list[Flow] + created_here: int = 0 + stage1_route: bool = True + capped: bool = False + limit: str | None = None + gains: list[int] = field(default_factory=list) + trace: dict = field(default_factory=dict) + + +class FlowPolicy: + def __init__( + self, + fg: FlowGraph, + sources, + destinations, + cfg: FlowPolicyConfig, + elig: Eligibility | None = None, + cache=None, + ) -> None: + g = fg.graph + self.fg, self.g, self.cfg = fg, g, cfg + if cache is not None: + raise ContractError("DagCache is not modelled by prototype 2") + if elig is not None: + elig.check(g) + self.elig = elig + self.sources = check_node_set(g, sources, "sources") + self.destinations = check_node_set(g, destinations, "destinations") + check_disjoint(self.sources, self.destinations) + self._validate_cfg() + self.mode = type(cfg.routing).__name__ + self.kernel, self.admission = cfg.placement, cfg.admission + self.selection = cfg.selection + static = search.member_graph(g, elig, search.Selection()) + self._static = static + node_ok = (lambda v: True) if elig is None else (lambda v: elig.node_allowed[v]) + self._dests_ok = tuple(d for d in self.destinations if node_ok(d)) + self.baseline: dict[int, int | None] = {} + if self.mode == "Pinned": + self.bundles = self._validate_bundles() + self.usable = [(i, route) for i, route in enumerate(self._pruned) if route] + self.roster = [self.sources[0]] if self.usable else [] + else: + roster = [] + for s in self.sources: + if not node_ok(s): + continue + d = search.distances(g, static, [s]) + if any(d[t] is not None for t in self._dests_ok): + roster.append(s) + self.baseline[s] = min( + d[t] for t in self._dests_ok if d[t] is not None + ) + self.roster = roster + self.owner = fg._bind() + self._reset_epoch() + + # ------------------------------------------------------------ validation + + def _validate_cfg(self) -> None: + cfg = self.cfg + r = cfg.routing + if not isinstance(r, (CostOnly, CapacityAware, Global, Pinned)): + raise ContractError("unknown routing variant") + if not isinstance(cfg.selection, search.Selection): + raise ContractError("selection is explicit (no default)") + K.check_kernel(cfg.placement, cfg.admission, cfg.selection.priority) + if cfg.admission == LOSSY and isinstance(r, (Global, CapacityAware)): + raise ContractError("Lossy is rejected with Global and CapacityAware") + if isinstance(r, Global) and cfg.placement != MF: + raise ContractError("Global requires placement = MaxFlow") + if isinstance(r, CapacityAware): + if not isinstance(r.flow_count, int) or r.flow_count < 1: + raise ContractError("flow_count >= 1") + if r.max_flow_count is not None and r.max_flow_count < r.flow_count: + raise ContractError("max_flow_count >= flow_count") + if not isinstance(r.min_flow_bandwidth, int) or r.min_flow_bandwidth < 0: + raise ContractError("min_flow_bandwidth is a non-negative integer") + search.check_ceiling(r.max_path_cost) + if r.diminishing is not None: + d = r.diminishing + if not isinstance(d.window, int) or d.window < 1: + raise ContractError("diminishing.window >= 1") + if not 0 < d.fraction < 1: + raise ContractError("diminishing.fraction in (0, 1)") + if isinstance(r, Pinned): + if len(self.sources) != 1 or len(self.destinations) != 1: + raise ContractError("Pinned requires single endpoints") + + def _validate_bundles(self): + g = self.g + bundles = self.cfg.routing.bundles + if not bundles: + raise ContractError("an empty bundle list is rejected") + src, dst = self.sources[0], self.destinations[0] + seen = set() + out = [] + self._pruned = [] + for b in bundles: + edges = check_dag_edges(g, b) + if edges in seen: + raise ContractError("duplicate bundle (pre-prune)") + seen.add(edges) + if not K.prune(g, edges, src, (dst,)): + raise ContractError("malformed bundle: no src -> dst walk") + out.append(edges) + ok = [ + e + for e in edges + if g.capacity[e] >= 1 + and (self.elig is None or self.elig.edge_allowed[e]) + ] + self._pruned.append(K.prune(g, ok, src, (dst,))) + return out + + # ------------------------------------------------------------ state + + def _reset_epoch(self) -> None: + self.cohorts: dict[int, list[Flow]] = {} + self.requested = 0 + self.infinite = False + self.epoch_started = False + + def placed_demand(self) -> int: + return sum(f.delivered for c in self.cohorts.values() for f in c) + + def records(self): + return [r for r in self.fg.records() if r.owner == self.owner] + + def record(self, flow_id): + return self.fg.record(flow_id) + + def usable_bundles(self) -> int: + return len(self.usable) if self.mode == "Pinned" else 0 + + def flow_ids(self) -> list[tuple[int, int]]: + return sorted(f.flow_id for c in self.cohorts.values() for f in c) + + def state(self) -> dict: + pos = self.g.input_index() + return { + "mode": self.mode, + "roster": list(self.roster), + "requested": self.requested, + "infinite": self.infinite, + "placed_demand": self.placed_demand(), + "cohorts": { + s: [ + { + "flow_id": None if f.flow_id is None else list(f.flow_id), + "route": list(f.route), + "route_input": sorted(pos[e] for e in f.route), + "T": f.T, + "delivered": f.delivered, + "alloc": sorted(f.alloc.items()), + "plan": f.plan.to_json(), + "bundle_index": f.bundle_index, + } + for f in c + ] + for s, c in sorted(self.cohorts.items()) + }, + } + + def remove(self) -> None: + """Detach every flow (allocations reverted, ids retired), new epoch.""" + self.fg._detach(self.owner) + self._reset_epoch() + + def destroy(self) -> None: + self.fg._orphan(self.owner) + + # ------------------------------------------------------------ routes + + def _route_cost(self, route, src) -> int: + c = K.route_cost(self.g, route, src, self._dests_ok) + return UNREACHABLE if c is None else c + + def _new_flow(self, src, route, view, ctx) -> Flow: + plan = K.make_plan( + self.g, + self.kernel, + self.admission, + src, + self._dests_ok, + route, + self.selection.priority, + view, + ) + ctx["seq"] += 1 + return Flow( + src=src, + route=plan.route, + plan=plan, + cost=self._route_cost(plan.route, src), + offered=0 if self.admission == LOSSY else None, + new=True, + seq=ctx["seq"], + ) + + def _cost_only_route(self, src, W) -> tuple[int, ...]: + """Static support restricted to the source, selection projected on W.""" + g, sel = self.g, self.selection + _, support = search.tight_dag(g, self._static, [src], self._dests_ok) + members = support + if not sel.multi_edge: + members = search.collapse(g, support, sel, W) + if sel.multipath: + _, dag = search.tight_dag(g, members, [src], self._dests_ok) + return tuple(dag) + prio = ( + search.priority_fn(g, sel.priority, W) + if sel.tie_break == search.PREFER + else None + ) + p = search.canonical_path(g, members, [src], self._dests_ok, prio) + return tuple() if p is None else tuple(sorted(p.edges)) + + def _search(self, src, view): + """CapacityAware route search on a view (residual gating, ceiling).""" + g, sel, r = self.g, self.selection, self.cfg.routing + threshold = max(1, r.min_flow_bandwidth) + members = search.member_graph(g, self.elig, sel, view, threshold) + if sel.multipath: + dstar, dag = search.tight_dag(g, members, [src], self._dests_ok) + if dstar is None: + return None + route, cost = tuple(dag), dstar + else: + prio = ( + search.priority_fn(g, sel.priority, view) + if sel.tie_break == search.PREFER + else None + ) + p = search.canonical_path(g, members, [src], self._dests_ok, prio) + if p is None: + return None + route, cost = tuple(sorted(p.edges)), p.cost + if not search.within_ceiling(cost, r.max_path_cost, self.baseline.get(src)): + return None + return route + + # ------------------------------------------------------------ amounts + + def _t_max(self, flow: Flow, view, evals) -> int: + if self.kernel == MF: + sol = K.maxflow(self.g, flow.plan, view, None) + return sol.placed + tm = K.t_max(self.g, flow.plan, view) + evals.append(tm.evaluations) + return tm.value + + def _alloc(self, flow: Flow, view, T) -> dict[int, int]: + if self.kernel == MF: + sol = K.maxflow(self.g, flow.plan, view, T) + assert sol.placed == T, "MaxFlow fill below its target" + return {e: x for e, x in enumerate(sol.edge_flows) if x} + return K.alloc(self.g, flow.plan, T) + + def _cohort_alloc(self, flows: list[Flow], T: int) -> list[tuple[int, dict]]: + parts = round_robin(T, len(flows)) + return [ + (t, K.alloc(self.g, f.plan, t)) for f, t in zip(flows, parts, strict=True) + ] + + def _cohort_t_max(self, flows: list[Flow], view, evals) -> int: + src_members = set() + for f in flows: + src_members.update(f.plan.out.get(f.src, [])) + hi = sum(view[e] for e in src_members) + lo, n = 0, 0 + while lo < hi: + mid = (lo + hi + 1) // 2 + n += 1 + total = merge(a for _, a in self._cohort_alloc(flows, mid)) + if K.fits(total, view): + lo = mid + else: + hi = mid - 1 + evals.append(n) + return lo + + def _set_cohort(self, flows: list[Flow], T: int) -> None: + for f, (t, a) in zip(flows, self._cohort_alloc(flows, T), strict=True): + if t != f.T or f.new: + f.alloc = a + f.T = t + f.delivered = t + + # ------------------------------------------------------------ place + + def place(self, volume, outputs: Outputs | None = None) -> PlacementResult: + req = check_request(volume) + if self.infinite and req is not None: + # validation precedes the zero shortcut (revision 20, section 8) + raise ContractError("a finite request after +inf is rejected (rule 13)") + if req is not None and self.requested + req >= 1 << 127: + raise ContractError("cumulative request counter overflow") + outputs = outputs or Outputs() + if req == 0: + served = [(src, "complete") for src in self.roster] + return self._finish( + PlacementResult( + 0, 0, "complete", False, False, [], local_outcomes=served + ), + outputs, + None, + ) + if not self.roster: + # the epoch's finite-or-infinite state and `requested` record every positive + # request, also one that finds no roster (section 8) + if req is None: + self.infinite = True + else: + self.requested += req + return self._finish( + PlacementResult( + 0, req, "no_route", False, False, [], trace={"roster": []} + ), + outputs, + None, + ) + if self.mode == "Global": + return self._place_global(req, outputs) + return self._place_flows(req, outputs) + + def _finish( + self, result: PlacementResult, outputs: Outputs, sol + ) -> PlacementResult: + if outputs.edge_flows: + alloc = [0] * self.g.num_edges + for r in self.records(): + for e, x in r.edges.items(): + alloc[e] += x + result.edge_flows = alloc + if outputs.residual: + result.residual = self.fg.residual() + if outputs.bottleneck: + result.bottleneck = self.fg.bottleneck(self.sources, self.elig) + if self.mode == "Global": + result.min_cut = None if sol is None else sol.min_cut + return result + + # ------------------------------------------------------------ Global + + def _place_global(self, req, outputs) -> PlacementResult: + g, fg = self.g, self.fg + W = fg.residual() + old = self.cohorts + created = not old + own = merge(f.alloc for c in old.values() for f in c) + V = add_view(W, own) + P = self.placed_demand() + cap = None if req is None else P + req + sol = flowcore.solve(g, V, self.roster, self._dests_ok, cap, elig=self.elig) + assert sol.placed >= P, "a Global call never reduces placed_demand()" + shares = self._decompose(sol) + changed = created + new_cohorts: dict[int, list[Flow]] = {} + for s in self.roster: + alloc = shares[s] + route = tuple(sorted(alloc)) + prev = old.get(s, [None])[0] + if prev is not None and prev.route != route: + changed = True + plan = K.Plan(MF, LOSSLESS, s, self._dests_ok, route, route, None) + f = Flow( + src=s, + route=route, + plan=plan, + cost=self._route_cost(route, s), + flow_id=None if prev is None else prev.flow_id, + T=sol.supply.get(s, 0), + alloc=alloc, + delivered=sol.supply.get(s, 0), + new=prev is None, + seq=self.roster.index(s), + ) + new_cohorts[s] = [f] + placed = sol.placed - P + drafts, order = self._drafts(new_cohorts) + new_ids = fg._commit(self.owner, drafts) + self._assign_ids(order, new_ids) + self.cohorts = new_cohorts + if req is None: + self.infinite = True + else: + self.requested += req + if req is not None and placed == req: + term = "complete" + elif sol.placed == 0: + term = "no_route" + else: + term = "exhausted" + trace = { + "V": V, + "cap": cap, + "flow_core": {**sol.payload(), "supply": sol.supply}, + "shares": {s: sorted(a.items()) for s, a in shares.items()}, + } + result = PlacementResult( + placed, + None if req is None else req - placed, + term, + changed, + False, + [], + cost_distribution=list(sol.cost_distribution), + local_outcomes=[(src, term) for src in self.roster], + trace=trace, + ) + return self._finish(result, outputs, sol) + + def _decompose(self, sol) -> dict[int, dict[int, int]]: + """Canonical per-source decomposition (9.1): sources ascending; the smallest + EdgeId walk with positive remaining flow to the first destination reached, + saturated by min(walk bottleneck, remaining virtual supply).""" + g = self.g + remaining = dict(enumerate(sol.edge_flows)) + dests = set(self._dests_ok) + out: dict[int, dict[int, int]] = {} + for s in self.roster: + mine: dict[int, int] = {} + left = sol.supply.get(s, 0) + while left > 0: + u, walk = s, [] + while not (walk and u in dests): + cands = [e for e in g.out_ids(u) if remaining.get(e, 0) > 0] + assert cands, "flow conservation guarantees a continuation" + e = min(cands) + walk.append(e) + u = g.dst[e] + assert len(walk) <= g.num_nodes, "acyclic support" + amount = min(min(remaining[e] for e in walk), left) + for e in walk: + remaining[e] -= amount + mine[e] = mine.get(e, 0) + amount + left -= amount + out[s] = mine + assert all(x == 0 for x in remaining.values()), "decomposition covers the flow" + return out + + # ------------------------------------------------------------ route-search modes + + def _offers(self, req) -> list[int | None]: + k = len(self.roster) + if self.mode == "Pinned": + return [req] + if req is None: + return [None] * k + old = round_robin(self.requested, k) + new = round_robin(self.requested + req, k) + return [b - a for a, b in zip(old, new, strict=True)] + + def _place_flows(self, req, outputs) -> PlacementResult: + fg = self.fg + ctx = { + "W": fg.residual(), + "created": 0, + "routes_changed": False, + "weights_changed": False, + "seq": 0, + "drops": {}, + } + cohorts = copy.deepcopy(self.cohorts) + entry = {s: sum(f.delivered for f in cohorts.get(s, [])) for s in self.roster} + offers = self._offers(req) + states = [] + for s, offer in zip(self.roster, offers, strict=True): + flows = cohorts.setdefault(s, []) + st = SourceState( + src=s, + offer=offer, + P=entry[s], + B=offer, + T_entry=sum(f.T for f in flows), + flows=flows, + ) + self._run_source(st, ctx) + states.append(st) + drafts, order = self._drafts(cohorts) + new_ids = fg._commit(self.owner, drafts) + self._assign_ids(order, new_ids) + self.cohorts = {s: c for s, c in cohorts.items() if c} + if req is None: + self.infinite = True + else: + self.requested += req + placed = sum( + sum(f.delivered for f in cohorts.get(s, [])) - entry[s] for s in self.roster + ) + assert placed >= 0 + if req is not None: + assert placed <= req + outcomes = {st.src: self._local_outcome(st) for st in states} + unserved = [o for o in outcomes.values() if o != "complete"] + term = max(unserved, key=OUTCOME_RANK.__getitem__) if unserved else "complete" + trace = { + "offers": { + st.src: "inf" if st.offer is None else st.offer for st in states + }, + "local_outcomes": outcomes, + "created": ctx["created"], + "sources": {st.src: st.trace for st in states}, + "W_final": ctx["W"], + } + result = PlacementResult( + placed, + None if req is None else req - placed, + term, + ctx["routes_changed"], + ctx["weights_changed"], + sorted(ctx["drops"].items()), + local_outcomes=[(st.src, outcomes[st.src]) for st in states], + trace=trace, + ) + return self._finish(result, outputs, None) + + def _local_outcome(self, st: SourceState) -> str: + delivered = sum(f.delivered for f in st.flows) - st.P + if st.offer == 0: + return "complete" + if self.admission == LOSSY: + if st.offer is not None and st.trace.get("injected") == st.offer: + return "complete" + elif st.offer is not None and delivered == st.offer: + return "complete" + if st.limit == "limit_flows" or st.capped: + return "limit_flows" + if st.limit == "limit_diminishing": + return "limit_diminishing" + if not st.flows: + return "no_route" + return "exhausted" + + def _run_source(self, st: SourceState, ctx) -> None: + if not st.flows: + self._stage1(st, ctx) + if not st.flows: + return + if self.mode == "CapacityAware" and self.cfg.routing.reoptimize: + self._stage2(st, ctx) + if self.admission == LOSSY: + self._stage3_lossy(st, ctx) + elif self.kernel == EB: + self._stage3_eb(st, ctx) + else: + self._stage3_seq(st, ctx) + if self.mode == "CapacityAware": + self._stage4(st, ctx) + + # ---- stage 1 + + def _stage1(self, st: SourceState, ctx) -> None: + W = ctx["W"] + tr: dict = {} + if self.mode == "CostOnly": + route = self._cost_only_route(st.src, W) + tr["route"] = list(route) + st.flows.append(self._new_flow(st.src, route, W, ctx)) + elif self.mode == "Pinned": + for i, route in self.usable: + f = self._new_flow(st.src, route, W, ctx) + f.bundle_index = i + st.flows.append(f) + tr["usable"] = [i for i, _ in self.usable] + else: + r = self.cfg.routing + S = list(W) + rem = st.offer + target = None + if self.kernel == EB and st.offer is not None: + target = (st.P + st.offer) // r.flow_count + tr.update(eb_target=target, reservations=[]) + budget = min(r.flow_count, MAX_FLOWS_PER_CALL - ctx["created"]) + stopped = False + for _ in range(budget): + route = self._search(st.src, S) + if route is None: + stopped = True + break + f = self._new_flow(st.src, route, S, ctx) + evals: list[int] = [] + bound = self._t_max(f, S, evals) + if self.kernel == EB: + t = bound if target is None else min(target, bound) + else: + t = bound if rem is None else min(rem, bound) + if rem is not None: + rem -= t + a = self._alloc(f, S, t) if t else {} + tr["reservations"].append( + { + "route": list(route), + "S": list(S), + "T_bound": bound, + "reserved": t, + } + ) + S = sub_view(S, a) + st.flows.append(f) + ctx["created"] += 1 + st.created_here += 1 + # the call-wide cap blocked (part of) the creation, not a missing route + st.capped = budget < r.flow_count and not stopped + tr["created_cap_blocked"] = st.capped + if st.flows: + ctx["routes_changed"] = True + st.trace["stage1"] = tr + + # ---- stage 2 + + def _stage2(self, st: SourceState, ctx) -> None: + rows = [] + for f in st.flows: + if f.new: + continue + W_i = add_view(ctx["W"], f.alloc) + cand = self._search(st.src, W_i) + row = { + "flow": list(f.flow_id), + "T": f.T, + "candidate": None if cand is None else list(cand), + } + if cand is None or cand == f.route: + row["decision"] = "kept" + rows.append(row) + continue + trial = self._new_flow(st.src, cand, W_i, {"seq": 0}) + evals: list[int] = [] + bound = self._t_max(trial, W_i, evals) + if bound < f.T: + row.update(decision="rejected: delivers less than T_i", bound=bound) + rows.append(row) + continue + a = self._alloc(trial, W_i, f.T) if f.T else {} + ctx["W"] = sub_view(W_i, a) + f.route, f.plan, f.cost, f.alloc = trial.route, trial.plan, trial.cost, a + ctx["routes_changed"] = True + if self.kernel == W_: + ctx["weights_changed"] = True + row.update(decision="adopted", alloc=sorted(a.items())) + rows.append(row) + st.trace["stage2"] = rows + + # ---- stage 3 + + def _stage3_seq(self, st: SourceState, ctx) -> None: + rows = [] + for f in st.flows: + V = add_view(ctx["W"], f.alloc) + evals: list[int] = [] + if self.kernel == MF: + cap = None if st.B is None else f.T + st.B + sol = K.maxflow(self.g, f.plan, V, cap) + t_new = sol.placed + assert t_new >= f.T + f.alloc = {e: x for e, x in enumerate(sol.edge_flows) if x} + curve = sol.cost_distribution + else: + bound = self._t_max(f, V, evals) + target = bound if st.B is None else min(f.T + st.B, bound) + t_new = max(f.T, target) + if t_new != f.T or f.new: + f.alloc = K.alloc(self.g, f.plan, t_new) + curve = None + ctx["W"] = sub_view(V, f.alloc) + gain = t_new - f.T + rows.append( + { + "T": [f.T, t_new], + "evals": evals, + "curve": curve, + "alloc": sorted(f.alloc.items()), + } + ) + f.T = t_new + f.delivered = t_new + if st.B is not None: + st.B -= gain + st.trace["stage3"] = rows + + def _stage3_eb(self, st: SourceState, ctx) -> None: + flows = st.flows + current = merge(f.alloc for f in flows) + V = add_view(ctx["W"], current) + T = sum(f.T for f in flows) + evals: list[int] = [] + bound = self._cohort_t_max(flows, V, evals) + target = bound if st.B is None else min(T + st.B, bound) + t_new = max(T, target) + self._set_cohort(flows, t_new) + ctx["W"] = sub_view(V, merge(f.alloc for f in flows)) + if st.B is not None: + st.B -= t_new - T + st.trace["stage3"] = { + "T": [T, t_new], + "bound": bound, + "evals": evals, + "shares": [f.T for f in flows], + } + + def _stage3_lossy(self, st: SourceState, ctx) -> None: + flows = st.flows + offers = ( + [None] * len(flows) + if st.offer is None + else round_robin(st.offer, len(flows)) + ) + injected = 0 + rows = [] + for f, offer in zip(flows, offers, strict=True): + call = K.lossy(self.g, f.plan, offer, ctx["W"]) + ctx["W"] = sub_view(ctx["W"], call.carried) + for e, x in call.carried.items(): + f.alloc[e] = f.alloc.get(e, 0) + x + for e, x in call.drops.items(): + f.drops[e] = f.drops.get(e, 0) + x + ctx["drops"][e] = ctx["drops"].get(e, 0) + x + f.offered = (f.offered or 0) + call.offered + f.delivered += call.delivered + injected += call.injected + rows.append( + { + "offer": "inf" if offer is None else offer, + "offered": call.offered, + "delivered": call.delivered, + "carried": sorted(call.carried.items()), + "drops": sorted(call.drops.items()), + } + ) + st.trace["stage3"] = rows + st.trace["injected"] = injected + + # ---- stage 4 + + def _stage4(self, st: SourceState, ctx) -> None: + r = self.cfg.routing + steps = [] + v = st.offer + threshold = None + if r.diminishing is not None and v is not None: + threshold = Fraction(r.diminishing.fraction) * v + accepted = 0 + while st.B is None or st.B > 0: + if ctx["created"] >= MAX_FLOWS_PER_CALL: + st.limit = "limit_flows" + steps.append({"stop": "kMaxFlowsPerCall"}) + break + if r.max_flow_count is not None and len(st.flows) >= r.max_flow_count: + if r.max_flow_count > r.flow_count: + st.limit = "limit_flows" + steps.append({"stop": "max_flow_count", "k": len(st.flows)}) + break + cand = self._search(st.src, ctx["W"]) + if cand is None: + steps.append({"stop": "no candidate"}) + break + if self.selection.multipath and any(f.route == cand for f in st.flows): + # revision 24 (owner review): with multipath routes a DAG already spans + # every equal-cost path, so a second flow on a structurally equal DAG + # gains only round-robin remainders: growth stops. A repeated single path + # is a legitimate tunnel and stays a growth candidate. + steps.append( + {"stop": "candidate equals a cohort route", "route": list(cand)} + ) + break + f = self._new_flow(st.src, cand, ctx["W"], ctx) + step: dict = {"route": list(cand), "W": list(ctx["W"])} + evals: list[int] = [] + if self.kernel == EB: + current = merge(x.alloc for x in st.flows) + V = add_view(ctx["W"], current) + T = sum(x.T for x in st.flows) + trial = st.flows + [f] + bound = self._cohort_t_max(trial, V, evals) + t_cand = bound if v is None else min(st.T_entry + v, bound) + step.update(T=T, T_candidate=t_cand, bound=bound) + if t_cand <= T: + step["decision"] = "rejected: cohort total not larger" + ctx["seq"] -= 1 + steps.append(step) + break + st.flows.append(f) + self._set_cohort(st.flows, t_cand) + ctx["W"] = sub_view(V, merge(x.alloc for x in st.flows)) + gain = t_cand - T + step["shares"] = [x.T for x in st.flows] + else: + bound = self._t_max(f, ctx["W"], evals) + fill = bound if st.B is None else min(st.B, bound) + step.update(bound=bound, fill=fill) + if fill == 0: + step["decision"] = "rejected: zero fill" + ctx["seq"] -= 1 + steps.append(step) + break + f.alloc = self._alloc(f, ctx["W"], fill) + f.T = f.delivered = fill + ctx["W"] = sub_view(ctx["W"], f.alloc) + st.flows.append(f) + gain = fill + ctx["created"] += 1 + ctx["routes_changed"] = True + accepted += 1 + st.gains.append(gain) + if st.B is not None: + st.B -= gain + step.update(decision="accepted", gain=gain, evals=evals) + steps.append(step) + if threshold is not None and accepted >= r.diminishing.window: + recent = sum(st.gains[-r.diminishing.window :]) + if recent < threshold and st.B > 0: + st.limit = "limit_diminishing" + steps.append( + { + "stop": "diminishing", + "recent": recent, + "threshold": str(threshold), + } + ) + break + st.trace["stage4"] = steps + + # ------------------------------------------------------------ commit + + def _drafts(self, cohorts) -> tuple[list[Draft], list[Flow]]: + drafts: list[Draft] = [] + order: list[Flow] = [] + flows = [f for s in sorted(cohorts) for f in cohorts[s]] + old = [f for f in flows if not f.new] + new = sorted( + (f for f in flows if f.new), + key=lambda f: (f.seq if self.mode != "Global" else f.src), + ) + for f in old + new: + drafts.append( + Draft( + flow_id=None if f.new else f.flow_id, + sources=(f.src,), + destinations=self._dests_ok, + placement=self.kernel, + admission=self.admission, + bundle=f.route, + route_cost=f.cost, + offered=f.offered if self.admission == LOSSY else None, + delivered=f.delivered, + edges=dict(f.alloc), + drops=dict(f.drops), + ) + ) + order.append(f) + return drafts, [f for f in order if f.new] + + def _assign_ids(self, new_flows: list[Flow], new_ids) -> None: + for f, fid in zip(new_flows, new_ids, strict=True): + f.flow_id = fid + f.new = False + + +def capacity(g, sources, destinations, cfg, elig=None, outputs=None) -> PlacementResult: + """``capacity`` = ``place(+inf)`` on a fresh ledger (section 11).""" + fg = FlowGraph(g) + return FlowPolicy(fg, sources, destinations, cfg, elig).place(INF, outputs) diff --git a/tests/reference/policy/p2_transaction/recorder.py b/tests/reference/policy/p2_transaction/recorder.py new file mode 100644 index 0000000..a9c20c8 --- /dev/null +++ b/tests/reference/policy/p2_transaction/recorder.py @@ -0,0 +1,31 @@ +"""Snapshot recording for prototype 2 (prototype 1's ``Snap`` plus policy state).""" + +from __future__ import annotations + +import _p1 # noqa: F401 +from snap import Snap, jsonable +from units import ContractError + + +class PSnap(Snap): + def place(self, label: str, policy, volume, fg=None, outputs=None): + entry: dict = {"op": "place", "policy": label, "request": jsonable(volume)} + try: + r = ( + policy.place(volume) + if outputs is None + else policy.place(volume, outputs) + ) + except ContractError as exc: + entry["error"] = f"{type(exc).__name__}: {exc}" + self.data["steps"].append(entry) + return exc + entry["result"] = jsonable(r.to_json()) + entry["trace"] = jsonable(r.trace) + fg = fg if fg is not None else policy.fg + entry["graph"] = self.labels.get(fg.graph.uid) + entry["state"] = jsonable(fg.state()) + if hasattr(policy, "state"): + entry["policy_state"] = jsonable(policy.state()) + self.data["steps"].append(entry) + return r diff --git a/tests/reference/policy/p2_transaction/run_fixtures.py b/tests/reference/policy/p2_transaction/run_fixtures.py new file mode 100644 index 0000000..33dcd87 --- /dev/null +++ b/tests/reference/policy/p2_transaction/run_fixtures.py @@ -0,0 +1,62 @@ +"""Run every prototype-2 fixture and write ``snapshots/.json``. + +Usage: ``venv/bin/python run_fixtures.py [fixture ...]``; exit status 1 on any +failed expectation. +""" + +from __future__ import annotations + +import json +import sys +import time +from pathlib import Path + +import _p1 # noqa: F401 +from fixtures import FIXTURE_MAP, FIXTURES +from recorder import PSnap + +HERE = Path(__file__).resolve().parent + + +def run_one(fx) -> dict: + s = PSnap(fx.name, fx.family, fx.description, fx.rules) + fx.run(s) + data = s.finish() + old = [k for k, v in FIXTURE_MAP.items() if v == fx.name] + data["regenerates"] = old + return data + + +def main(argv: list[str]) -> int: + only = set(argv[1:]) + out = HERE / "snapshots" + out.mkdir(exist_ok=True) + failed, steps, checks = [], 0, 0 + t0 = time.perf_counter() + names = {fx.name for fx in FIXTURES} + missing = sorted(v for v in FIXTURE_MAP.values() if v not in names) + assert not missing, missing + for fx in FIXTURES: + if only and fx.name not in only: + continue + data = run_one(fx) + (out / f"{fx.name}.json").write_text(json.dumps(data, indent=1) + "\n") + steps += data["counts"]["steps"] + checks += data["counts"]["checks"] + print( + f"{'ok ' if data['passed'] else 'FAIL'} {fx.name} ({data['counts']['checks']} checks)" + ) + for f in data["failures"]: + print(f" {f}") + if not data["passed"]: + failed.append(fx.name) + n = len(only) if only else len(FIXTURES) + print( + f"{n - len(failed)}/{n} fixtures pass ({len(FIXTURE_MAP)} regenerated from the " + f"grid set), {steps} operations, {checks} checks, {time.perf_counter() - t0:.1f} s" + ) + return 1 if failed else 0 + + +if __name__ == "__main__": + sys.exit(main(sys.argv)) diff --git a/tests/typing/invalid_client.py b/tests/typing/invalid_client.py new file mode 100644 index 0000000..1251308 --- /dev/null +++ b/tests/typing/invalid_client.py @@ -0,0 +1,59 @@ +"""A deliberately invalid client: every marked line must get exactly its expected diagnostic. + +dev/stubs/run.sh type-checks it with Pyright against an installed wheel and an installation +built from the sdist. Each line ending in "# expect: RULE[, RULE...]" must produce one +diagnostic of each listed Pyright rule, and no other line may produce any. It is never run: +each marked line is a mistake the compiled module rejects at run time (or, for the Optional +and dtype lines, a mistake in the caller's own code) that a type checker must catch before. +""" + +import numpy as np +import numpy.typing as npt + +import netgraph_core as ng + +g = ng.Graph(2, [0], [1], [10], [1], 1.0) +sel = ng.PathSelection(ng.EdgeTieBreak.DETERMINISTIC, ng.EdgePriority.CAPACITY) +cfg = ng.FlowPolicyConfig( + routing=ng.Global(), + placement=ng.FlowPlacement.MAX_FLOW, + admission=ng.Admission.LOSSLESS, + selection=sel, +) + +# The eight result and factory classes have no constructor ("No constructor defined!"). +ng.Eligibility() # expect: reportCallIssue +ng.PredDAG() # expect: reportCallIssue +ng.FlowRecord() # expect: reportCallIssue +ng.PlacementResult() # expect: reportCallIssue +ng.DagCacheStats() # expect: reportCallIssue +ng.SensitivityEntry() # expect: reportCallIssue +ng.SensitivityResult() # expect: reportCallIssue +ng.SpfResult() # expect: reportCallIssue + +# dtype mistakes: the capacities are an int64 array of ints. (NumPy's own stubs type an element +# read arr[i] as Any, so "text: str = g.capacity_units()[0]" cannot be caught by any stub; an +# element read through .item() and the array itself carry the dtype.) +floats: npt.NDArray[np.float64] = g.capacity_units() # expect: reportAssignmentType +text: str = g.capacity_units().item(0) # expect: reportAssignmentType + +# Wrong argument types (the module raises ValueError or TypeError). +ng.Graph("wrong", [0], [1], [10], [1], 1.0) # expect: reportArgumentType +ng.Graph(2, [0], [1], [1.5], [1], 1.0) # expect: reportArgumentType +ng.FlowLedger(g, residual=np.zeros(1, dtype=np.float64)) # expect: reportArgumentType +ng.spf(g, 0, ng.KspOptions(1, sel)) # expect: reportArgumentType +ng.capacity(g, 0, 1, ng.SensitivityOptions(cfg)) # expect: reportArgumentType +guard = ng.DiminishingReturns(2, 0.5) +ng.CapacityAware(max_path_cost=guard) # expect: reportArgumentType +ng.to_units("1.5", 1.0) # expect: reportCallIssue, reportArgumentType +# Integer arrays serve as hops and pairs; float arrays do not. +ng.Path(g, np.zeros((1, 1), dtype=np.float64)) # expect: reportArgumentType +float_pairs = np.zeros((1, 2), dtype=np.float64) +ng.batch_capacity(g, float_pairs, ng.CapacityOptions(cfg)) # expect: reportArgumentType + +# Missing Optional checks: these results may be None. +result = ng.spf(g, 0, ng.SpfOptions(ng.Direction.FORWARD, sel, targets=1)) +cost: int = result.target_cost # expect: reportAssignmentType +first = result.costs[0] # expect: reportOptionalSubscript +flows = ng.capacity(g, 0, 1, ng.CapacityOptions(cfg)).edge_flows +total = flows.sum() # expect: reportOptionalMemberAccess diff --git a/tests/typing/valid_client.py b/tests/typing/valid_client.py new file mode 100644 index 0000000..1e7a6fd --- /dev/null +++ b/tests/typing/valid_client.py @@ -0,0 +1,118 @@ +"""A valid client of the installed package: no type checker diagnostic, and it runs. + +dev/stubs/run.sh type-checks it with Pyright against an installed wheel and an installation +built from the sdist (zero diagnostics expected), then runs it. assert_type pins the declared +types of the generated stub: a wrong dtype, a lost Optional or a widened result fails here. +""" + +from typing import assert_type + +import numpy as np +import numpy.typing as npt + +import netgraph_core as ng + +# The graph: integers as lists, tuples or NumPy arrays of any integer dtype. +g = ng.Graph( + 4, + np.array([0, 0, 1, 2], dtype=np.int32), + (1, 2, 3, 3), + [10, 5, ng.to_units(2.5, 1.0), 4], + np.array([1, 2, 1, 1], dtype=np.uint8), + 1.0, +) +assert_type(g.capacity_units(), npt.NDArray[np.int64]) +assert_type(g.cost(), npt.NDArray[np.int64]) +assert_type(g.edge_src(), npt.NDArray[np.int32]) +assert_type(g.row_offsets(), npt.NDArray[np.int32]) +assert_type(g.num_edges(), int) +first_capacity: int = int(g.capacity_units()[0]) + +elig = g.eligibility(excluded_nodes=[np.int64(2)]) +assert_type(elig.edge_allowed(), npt.NDArray[np.bool_]) +both = ng.Eligibility.intersect(elig, g.eligibility()) +assert_type(both, ng.Eligibility) + +# Units: a scalar gives an int, an array an int64 array; and back. +assert_type(ng.to_units(1.5, 0.5), int) +assert_type(ng.to_units([1.5, 2.0], 0.5), npt.NDArray[np.int64]) +assert_type(ng.as_float(3, 0.5), float) +assert_type(ng.as_float(np.array([3, 4]), 0.5), npt.NDArray[np.float64]) + +# The search: optional results are checked before use. +sel = ng.PathSelection(ng.EdgeTieBreak.DETERMINISTIC, ng.EdgePriority.CAPACITY) +full = ng.spf(g, 0, ng.SpfOptions(ng.Direction.FORWARD, sel)) +costs = full.costs +assert_type(costs, npt.NDArray[np.int64] | None) +if costs is not None: + reached = int(costs[3]) +near = ng.spf(g, [0], ng.SpfOptions(ng.Direction.FORWARD, sel, targets=3, elig=elig)) +cost = near.target_cost +if cost is not None: + assert_type(cost, int) +dag = near.dag +assert_type(dag.parents(), npt.NDArray[np.int32]) +paths = ng.resolve_to_paths(g, full.dag, 0, 3, max_paths=None) +assert_type(paths, list[ng.Path]) +for c, p in ng.ksp(g, 0, 3, ng.KspOptions(2, sel, max_path_cost=ng.Absolute(9))): + assert_type(c, int) + hops: list[list[int]] = p.hops() + pinned = ng.Pinned([p.to_dag()]) +same = ng.PredDAG.from_csr( + g, dag.parent_offsets(), dag.parents(), np.asarray(dag.via_edges()) +) +# An integer array serves as the sequence of hops (one row per hop): the walk 0 -> 1 -> 3. +walk = ng.Path(g, np.array([[0], [2]], dtype=np.int32)) +assert_type(walk.cost(), int) + +# The ledger and a policy. +ledger = ng.FlowLedger(g, residual=None) +policy = ng.FlowPolicy( + ledger, + 0, + [3], + ng.FlowPolicyConfig( + routing=ng.CapacityAware(flow_count=2, max_path_cost=ng.Stretch(1.5)), + placement=ng.FlowPlacement.EQUAL_BALANCED, + admission=ng.Admission.LOSSLESS, + selection=sel, + ), +) +result = policy.place(float("inf"), ng.OutputOptions(residual=True)) +assert_type(result, ng.PlacementResult) +assert_type(result.remaining, int | float) +residual = result.residual +if residual is not None: + assert_type(residual, npt.NDArray[np.int64]) +for record in policy.records(): + assert_type(record.edges, list[tuple[int, int]]) + assert_type(record.route_cost, int | None) + assert_type(ledger.record(record.flow_id), ng.FlowRecord) +policy.remove() + +# The evaluators, with optional arguments left out or None. +cfg = ng.FlowPolicyConfig( + routing=ng.Global(), + placement=ng.FlowPlacement.MAX_FLOW, + admission=ng.Admission.LOSSLESS, + selection=sel, +) +cache = ng.DagCache(g) +opts = ng.CapacityOptions(cfg, elig=None, cache=cache) +assert_type(opts.elig, ng.Eligibility | None) +placed: int = ng.capacity(g, 0, 3, opts).placed +batch = ng.batch_capacity(g, [(0, 3), ([0, 1], np.array([3]))], opts, workers=1) +assert_type(batch, list[ng.PlacementResult]) +# Integer arrays serve as the pairs too: one row (sources, destinations) per pair, or one pair. +from_rows = ng.batch_capacity(g, np.array([[0, 3], [1, 3]], dtype=np.int64), opts) +from_pair = ng.batch_capacity(g, [np.array([0, 3], dtype=np.int64)], opts) +assert_type(from_rows, list[ng.PlacementResult]) +assert_type(from_pair, list[ng.PlacementResult]) +sens = ng.sensitivity(g, 0, 3, ng.SensitivityOptions(cfg)) +for entry in sens.entries: + assert_type(entry.loss, int) +assert_type(cache.stats().hits, int) +routing = cfg.routing +if isinstance(routing, ng.Global): + print("Global routing:", routing) +print(placed, len(batch), len(paths), ng.UNREACHABLE, ng.__version__) diff --git a/third_party/pybind11/LICENSE b/third_party/pybind11/LICENSE new file mode 100644 index 0000000..e466b0d --- /dev/null +++ b/third_party/pybind11/LICENSE @@ -0,0 +1,29 @@ +Copyright (c) 2016 Wenzel Jakob , All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are met: + +1. Redistributions of source code must retain the above copyright notice, this + list of conditions and the following disclaimer. + +2. Redistributions in binary form must reproduce the above copyright notice, + this list of conditions and the following disclaimer in the documentation + and/or other materials provided with the distribution. + +3. Neither the name of the copyright holder nor the names of its contributors + may be used to endorse or promote products derived from this software + without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND +ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED +WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE +FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL +DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR +SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER +CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, +OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + +Please also refer to the file .github/CONTRIBUTING.md, which clarifies licensing of +external contributions to this project including patches, pull requests, etc. From cb4dd8e26e080b761d949cd61a529cae44c18c57 Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Sun, 11 Oct 2026 22:25:31 -0700 Subject: [PATCH 10/39] dev/perf: a minimal A/B/A timing tool One driver times the Core's rows as old build, new build, old build again on one machine, so drift shows, and checks that both builds give the same results. Its own tests run with make perf-tool-test and on one macOS CI job, so a library change that breaks the tool fails there. Co-Authored-By: Claude Opus 5.5 --- .github/workflows/tests.yml | 8 + .gitignore | 3 + AGENTS.md | 4 +- Makefile | 6 +- README.md | 7 +- dev/perf/README.md | 380 +++ dev/perf/aba.py | 2215 +++++++++++++++++ dev/perf/aba_api.hpp | 589 +++++ dev/perf/aba_rows.hpp | 1128 +++++++++ dev/perf/build.sh | 150 ++ dev/perf/harness.cpp | 7 + dev/perf/queries/SHA256SUMS | 4 + dev/perf/queries/canonical16k.json | 48 + dev/perf/queries/far16k.json | 47 + dev/perf/queries/near65k.json | 271 ++ dev/perf/queries/storage/SHA256SUMS | 1 + dev/perf/queries/storage/inputs.json | 545 ++++ dev/perf/queries/targetset_clos.json | 65 + dev/perf/test_tool.py | 3418 ++++++++++++++++++++++++++ pyproject.toml | 2 + 20 files changed, 8895 insertions(+), 3 deletions(-) create mode 100644 dev/perf/README.md create mode 100644 dev/perf/aba.py create mode 100644 dev/perf/aba_api.hpp create mode 100644 dev/perf/aba_rows.hpp create mode 100755 dev/perf/build.sh create mode 100644 dev/perf/harness.cpp create mode 100644 dev/perf/queries/SHA256SUMS create mode 100644 dev/perf/queries/canonical16k.json create mode 100644 dev/perf/queries/far16k.json create mode 100644 dev/perf/queries/near65k.json create mode 100644 dev/perf/queries/storage/SHA256SUMS create mode 100644 dev/perf/queries/storage/inputs.json create mode 100644 dev/perf/queries/targetset_clos.json create mode 100644 dev/perf/test_tool.py diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index 21b70c1..9af2762 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -46,6 +46,14 @@ jobs: - name: Run Python tests (Windows) if: runner.os == 'Windows' run: python -m pytest tests/py/ -v + # The timing tool of dev/perf compiles against the library (its adapter uses the public + # API and two private functions of the queue rule), and nothing else builds it: its own + # tests, which compile its driver with this checkout's library, run on one job, so a + # library change that breaks the tool fails here. macOS: the platform the tool is made + # and checked on (its build record and memory reading are macOS-first). + - name: Timing tool tests (macOS, py3.14) + if: runner.os == 'macOS' && matrix.python-version == '3.14' + run: make perf-tool-test test-centos-stream-9: name: CentOS Stream 9 (py${{ matrix.python-version }}) diff --git a/.gitignore b/.gitignore index 3b8c2d3..af80017 100644 --- a/.gitignore +++ b/.gitignore @@ -30,3 +30,6 @@ dist/ # Personal Superset lifecycle overrides .superset/config.local.json + +# The performance tool's default output directory +/dev/perf/results/ diff --git a/AGENTS.md b/AGENTS.md index 7b39e83..cdda238 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -17,4 +17,6 @@ cost ceilings (Absolute, Stretch). A binding signature or docstring change needs the regenerated type stub (`bash dev/stubs/run.sh generate`; `make stubs-check` checks drift, package contents and typed clients). Performance claims need correctness checks and -A/B/A on one quiet machine. Local checks do not replace CI. +A/B/A on one quiet machine (`dev/perf/README.md`; `make perf-tool-test` after +changing that tool; CI runs it on one macOS job, as a library change can break +it). Local checks do not replace CI. diff --git a/Makefile b/Makefile index 4488bdf..e48550e 100644 --- a/Makefile +++ b/Makefile @@ -1,6 +1,6 @@ # NetGraph-Core Development Makefile -.PHONY: help venv clean-venv dev install install-native check check-ci lint format test build clean check-dist publish-test publish info hooks check-python cpp-test cpp-test-off cov sanitize-test tsan-test stubs-check rebuild +.PHONY: help venv clean-venv dev install install-native check check-ci lint format test build clean check-dist publish-test publish info hooks check-python cpp-test cpp-test-off cov sanitize-test tsan-test stubs-check perf-tool-test rebuild .DEFAULT_GOAL := help @@ -61,6 +61,7 @@ help: @echo " make tsan-test - Build and run C++ tests with ThreadSanitizer" @echo " make stubs-check - Type stub: drift, wheel/sdist contents, typed clients (own venvs)" @echo " (regenerate the stub: bash dev/stubs/run.sh generate)" + @echo " make perf-tool-test - Tests of the A/B/A timing tool in dev/perf (after changing it; CI: macOS)" @echo "" @echo "Build & Package:" @echo " make build - Build distribution packages" @@ -248,6 +249,9 @@ tsan-test: stubs-check: @PYTHON=$(PYTHON) bash dev/stubs/run.sh check +perf-tool-test: + @$(PYTHON) -B dev/perf/test_tool.py + # Clean + reinstall in dev mode (respects CMAKE_ARGS and MACOSX_DEPLOYMENT_TARGET) # Uses active PYTHON (venv or PATH) to avoid environment mismatches rebuild: clean diff --git a/README.md b/README.md index 2f6faf3..256eb0a 100644 --- a/README.md +++ b/README.md @@ -219,7 +219,8 @@ bindings/python/ # pybind11 bindings python/netgraph_core/ # Python package tests/cpp/ # C++ tests (googletest) tests/py/ # Python tests (pytest) -dev/ # Developer scripts (not shipped): checks and coverage +dev/ # Developer scripts (not shipped): checks, coverage, +dev/perf/ # and the A/B/A timing tool ``` ## Development @@ -240,6 +241,10 @@ make format # Apply ruff formatting (make hooks runs every pre-commit fix `make check` and `make check-ci` only verify; they never edit a file. +Performance claims are timed with the A/B/A tool (old build, new build, then the old build again +on one machine, so drift shows), described in [dev/perf/README.md](dev/perf/README.md) +(`make perf-tool-test` tests the tool itself; CI runs it on one macOS job). + The editable development build (`make install`, `make dev`) carries the private test hooks (CMake option `NETGRAPH_CORE_PRIVATE_HOOKS`; a wheel build does not); the test suites skip the tests that need them when they are absent. diff --git a/dev/perf/README.md b/dev/perf/README.md new file mode 100644 index 0000000..32024df --- /dev/null +++ b/dev/perf/README.md @@ -0,0 +1,380 @@ +# Timing tool (A/B/A) + +Developer-only tool for timing two builds of NetGraph-Core against each other, as `AGENTS.md` +asks for every performance claim. Nothing here ships in the wheel or the sdist, and no timing +runs in CI; only the tool's own tests do (below), and the repository gates (`make check-ci`, +`make sanitize-test`, `make tsan-test`) stay the acceptance tests. Verify correctness first +(bit-identical results where the contract is exact, certificates for flows); time second. + +**A/B/A** means: the reference build A, the candidate build B, then A again, each block in a +fresh process, repeated seven times; the candidate's time is compared with the mean of the two +reference blocks around it, so slow drift of the machine cancels out. A bootstrap interval over +the seven triples says whether a difference is real. + +| File | Role | +| --- | --- | +| `build.sh` | builds one harness binary against the Core of a revision or of the working tree, with its build record | +| `harness.cpp`, `aba_rows.hpp`, `aba_api.hpp` | the harness: the rows (workloads, semantic work per iteration, digests) and the adapter that maps them onto the current public Core API (plus two private functions of the queue rule, below) | +| `aba.py` | runs one A/B/A comparison: blocks, statistics, verdicts, `report.json`, `summary.md`, `blocks.csv`, `meta.txt` | +| `queries/` | the frozen row inputs (`*.json`, `storage/inputs.json`) with their `SHA256SUMS` | +| `test_tool.py` | the tool's own tests (`make perf-tool-test`) | + +## Quick start + +Compare the working tree (candidate) with a revision (reference); both binaries carry the same +rows, each compiled against its own Core. Run on a quiet machine, nothing else running. + +```sh +bash dev/perf/build.sh build/perf/aba/ref # e.g. HEAD, or main +bash dev/perf/build.sh worktree build/perf/aba/cand +venv/bin/python dev/perf/aba.py \ + --old-bin build/perf/aba/ref/harness --new-bin build/perf/aba/cand/harness \ + --old-label ref --new-label cand --rows "kernel.*,maxflow.*" --out build/perf/aba/run +``` + +`aba.py` needs Python 3.10 or newer (the venv's; macOS's system `python3` 3.9 is refused with a +message). The run prints a plan (the expected duration of every row) before the first timed +block, then one line per row, and writes `report.json`, `summary.md` (the table to read), +`blocks.csv` (every block; in an aborted run, those of the finished warm-up pairs and triples) +and `meta.txt` (every hash) to `--out` (default `dev/perf/results//`, ignored by +git). The run's verdict is the worst row verdict, and a row whose results differ between the two +builds fails: the tool compares two builds of the current Core, so a change it times (an +optimisation) must leave every result identical. A change that is meant to change results is +checked for correctness by the test suites, not timed against the old results. The adapter +`aba_api.hpp` is written against the current public API, apart from the queue check of the +storage search rows, which reads the library's queue rule through the private +`detail::bucket_width` and `detail::uses_buckets`: a reference revision with another API needs +the adapter adapted first. + +**Exit statuses and acceptance.** `aba.py` exits 0 when the run completed, whatever its verdict +and conformance; 1 when it aborted after starting blocks; 2 when it refused an input or failed +before the first block; 130 for Ctrl-C before the first block. Every failure writes its reason +to `report.json` and `summary.md`, with verdict `aborted` and conformance false. A reason names +the side, mode and row when it comes from a block. A refusal before row selection writes a +minimal report with no rows. A failed harness, malformed response, changed or unreadable binary, +non-finite derived value, operating-system error, internal exception or Ctrl-C ends the run. +The first Ctrl-C stops the active harness; later interrupts are held while the outputs are +written. An interrupt during final writing records an abort and rewrites both outputs. + +Both files are created before the first block. Each final output is attempted even if another +fails; text that cannot be formed is replaced by a minimal abort record. Complete output text +replaces its file in one operation; if directory permissions no longer allow replacement, an +existing writable file is retried directly with the abort reason. An invalid, ambiguous, +occupied or unwritable `--out` cannot receive a new report; existing unrelated files are never +overwritten. A persistent write failure (for example a full disk), or a process killed by an +uncatchable signal, can prevent output. Write failures are also reported on stderr. `--help` +prints help and writes no run files. Both outputs list every selected row with the step it reached: `measured`, and in an +aborted run `not run`, `warm-up` (its warm-up step did not finish: a warm-up block failed, or a +count or the expected duration derived from them is not finite), `planned` (warmed up, not +timed) or `timing` (its timed step did not finish: a timed block failed, or a row statistic +derived from them is not finite). A run killed by another signal writes nothing more. Its exit +status is no acceptance: a run is accepted when it is conforming and its verdict is `pass`, the +first two items of `summary.md` (and `report.json`'s `conforming` and `verdict`). + +## Building the two sides + +`build.sh` requires `bash`, `git`, `tar`, `python3` and the compiler on `PATH` (on macOS, +`xcrun` for an explicitly selected compiler). `vtool` supplies optional build diagnostics. + +`bash dev/perf/build.sh REV OUT_DIR` compiles this checkout's `harness.cpp` (with `aba_rows.hpp` +and `aba_api.hpp`) against the Core sources of `REV`: `worktree` takes this checkout's `include/` +and `src/` with their uncommitted changes; a git revision is extracted with `git archive` into +`OUT_DIR/src`. `REV` is required (there is no default reference), and a revision git does not +know is refused. `OUT_DIR` must be absent or empty; it receives `harness` and the build record +`harness.json`. The compiler is `clang++` from `PATH` with the first `flags=(...)` line of +`build.sh` (`-std=c++20 -O3 -DNDEBUG -funroll-loops -fno-math-errno -fno-trapping-math -Wall +-Wextra`). `CXX` overrides the compiler; on macOS a set `CXX` also gets `-isysroot "$(xcrun +--show-sdk-path)"` (a toolchain compiler such as `$(xcrun --find clang++)` finds no system headers +without it), and a set `CXX` without an SDK is refused. A refusal exits 2. A failed compile exits +with the compiler's status, and a failure while the build record is written exits non-zero; +either leaves neither `harness` nor `harness.json` (a revision's extracted sources stay in +`OUT_DIR/src`, so a second attempt needs another or an emptied `OUT_DIR`). + +### Build records + +`harness.json` names everything that changes the binary's bytes: + +| Field | Meaning | +| --- | --- | +| `binary`, `binary_sha256` | the output path and the hash of the file written there; the file name is part of the bytes (below) | +| `rev`, `commit`, `dirty_core_paths` | the revision asked for, its commit (`HEAD` for `worktree`), and for `worktree` the number of paths `git status --short` lists under `include/` and `src/` (0 for a revision) | +| `core_sources_sha256` | sha256 of `" \n"` lines over every file under the `include/` and `src/` compiled against (the checkout's or the extracted ones), sorted by path; a path with a part that starts with a dot is left out | +| `driver_sha256` | the sha256 of `dev/perf/harness.cpp` and of every `dev/perf/*.hpp`, by path | +| `compiler`, `compiler_path`, `cxx_env` | the compiler's `--version` line, the program the name resolved to on `PATH`, and `CXX` as given (null when unset) | +| `flags`, `isysroot` | the flags passed (`-isysroot ` included when added), and that SDK path (null when none was passed) | +| `sdk.path`, `sdk.version`, `sdk.sdkroot_env`, `sdk.source` | the SDK `xcrun` names (the one the `clang++` shim and `-isysroot` use) and `SDKROOT`, which overrides the shim's choice; path and version null when `xcrun` names no SDK | +| `deployment_target.requested` | `MACOSX_DEPLOYMENT_TARGET` (null when unset: the compiler then targets the SDK's own OS version) | +| `deployment_target.effective_minos`, `binary_sdk`, `platform`, `raw`, `source` | the minimum OS and SDK version the binary carries, read back from its `LC_BUILD_VERSION` load command with `vtool -show-build` (the first value of each when the binary carries several; `raw` has every line) | +| `built_by` | `dev/perf/build.sh` | + +Besides the sources and the flags, the bytes depend on the **deployment target** (the same +sources built with `MACOSX_DEPLOYMENT_TARGET=15.0` and without it differ), the **output file +name** (the linker signs every arm64 binary ad hoc with the file name as the signature's +identifier, and the binary's UUID follows; copying a binary keeps its bytes, the name at link +time is what counts), the **SDK** and the **compiler**. A pinned binary hash is reproducible +only with all of them equal. `aba.py` refuses a binary whose hash differs from its record. Every field in the table is +required and no other key is accepted, including inside `sdk` and `deployment_target`. +All values are strings except `dirty_core_paths` (a finite nonnegative integer), the three +objects `sdk`, `deployment_target`, `driver_sha256`, and these nullable strings: `compiler_path`, `cxx_env`, `isysroot`, `sdk.path`, `sdk.version`, +`sdk.sdkroot_env`, and `deployment_target.requested`, `effective_minos`, `binary_sdk`, `platform`, +`raw`. A null means the value was unavailable or the environment variable was unset. `binary_sha256` and `core_sources_sha256` are 64 lowercase hexadecimal digits; +`driver_sha256` has exactly this checkout's driver paths and matching hashes. Descriptive +strings are recorded as text; the old build path, revision and compiler are not re-executed or +used to locate inputs. + +## Protocol + +**Blocks.** Each block is a fresh process of one side's harness running one row: setup +(untimed), one untimed iteration that fixes the reference digest, then a fixed iteration count +with every iteration timed; the harness reports the median iteration time and `block_s`, its own +wall-clock measurement of the timed loop. Every iteration must return the reference digest (else +the harness exits 3 and the run aborts), which the block line carries as 16 lowercase hexadecimal +digits. A block's whole output is its response, and the run +aborts unless it is exactly one block line for the requested row ended by a newline, with +nothing before or after it (a usable line is never picked out of a broken response). A block +line is malformed, and aborts the run, when it is not one JSON object, names a key twice or a +key outside the listed fields, or a required number is missing, of another type, not finite (an integer beyond the largest +float counts as not finite) or outside its domain: the iteration count is an integer in [1, 2^63 - 1]; the median iteration +time and the harness's own peak RSS are positive; `block_s`, `setup_s` and the children's peak +RSS may be 0 (the harness prints the two times rounded to microseconds, and starts no child +process); the statistics no rule reads (`mean_s`, `min_s`, `p10_s`, `p90_s`, `max_s`) are +nonnegative when present. A timed block must report the iteration count it was given. The +numeric options are checked the same way (`--tolerance`, `--rss-floor-mib` and +`--calibration-margin` may be 0, `--seed` is an integer of either sign within the finite float range, the others are positive), and the +values derived from them must be finite (`--target-seconds` times one plus the margin, the floor +in bytes). "Inputs" below lists every input's rule. + +**Derived values.** Every number of a block line is finite, and every one but the iteration +count is read as a float, but arithmetic on huge ones need not be finite: the mean of two +medians near 1e308 is infinite, and a ratio against it would read 0, a false pass. So a value +derived from the blocks that is not finite (a mean of A1 and A2, a ratio, the statistic, its +interval, the drift, a median, a peak sum, the memory allowance, a calibrated count, an expected +duration or a finish time beyond any date) aborts the run before the row's statistics or verdict +are recorded or printed. + +**Per row.** One warm-up block per side (discarded; it calibrates the iteration counts), then +seven triples A1, B, A2 in that order (fewer only with `--allow-short`, which labels the run +"not gate evidence"). The counts are **per side**: `ceil(target * (1 + margin) / median_side)` +from that side's own warm-up block (a calibrated count above 2^63 - 1 aborts with the side and row named) (`--target-seconds`, default 2, `--calibration-margin`, +default 0.10), so every block on either side lasts about the target even when the two sides' +speeds differ by orders of magnitude. A1 and A2 share side A's count. `--iters` pins the counts +instead (below). The block value is the median iteration time, so the ratio does not depend on +the counts. The warm-up blocks of every selected row run first; the expected duration of every +row and of the run is printed and stored (`report.json` `plan`, each row's `expected`) before +the first timed block. + +**Statistics.** `r_t = B_t / mean(A1_t, A2_t)`; the statistic is `median_t(r_t - 1)`; its 95 +percent percentile interval comes from `--resamples` (default 10,000) bootstrap resamples of +whole triples, seeded with `--seed`; drift is `median_t |A1_t / A2_t - 1|`. + +**Verdicts per row.** + +* timing: `inconclusive` when the drift exceeds the tolerance (`--tolerance`, default 0.03), + else `pass` when the interval's upper bound is within the tolerance, else `fail`; +* blocks: `fail` when any timed block's `block_s` is below `--target-seconds`; +* same-side clusters: per side, the timed blocks' per-iteration times sorted; a gap between two + consecutive blocks above the tolerance with at least two blocks on each side marks the side + `bimodal` and fails the row even when the median passes; +* memory (below); +* digests: every timed block of both sides must report one and the same digest. + +The row is `fail` if any check fails, else `inconclusive` if timing is, else `pass`. The run's +verdict is `aborted` when the run aborted, else the worst row verdict. A run is **conforming** +(gate evidence) only when it did not abort, `--allow-short` was not given (without it fewer than +seven triples or a target below 2 s are refused; a measured block shorter than the target fails +its row), no timed block was short and the +allocator environment is normal; the summary's first line says which. + +**Memory.** Each block's peak RSS (resident set size: the memory the process holds in RAM) of the +harness process tree is the larger of the harness's own `getrusage` (self + children) +`ru_maxrss` and `ru_maxrss` from the orchestrator's `os.wait4` (macOS reports bytes, Linux KiB, +converted). The harness's own record of the iteration times is the same in every block, whatever +its iteration count: allocated and written before the row's setup, it keeps a count per duration +below 65,536 clock ticks (65.5 µs with the nanosecond clocks of macOS and Linux) and a list of +the longer ones with 65,536 slots, which grows only past 4.3 s of such iterations in one block +(1 MiB of bookkeeping in all; its statistics are those of the sorted list of every iteration's +time). A faster side runs more iterations, and a record that grew with them would count in its +peak. Reference = the largest A1 block peak, candidate = the largest B block peak (over the +timed triples); the row fails when the candidate exceeds `max(1.10 * reference, reference + 8 +MiB)` bytes (`--budget`, `--rss-floor-mib`). A1, the first reference block of every triple, is +fixed in advance: a larger A2 peak or a larger warm-up peak never rescues a failure. Why the +maxima: macOS's allocator keeps freed large blocks in a cache whose pages stay resident, so on +several rows the block peaks of any build land on one of two levels about 9 to 10 MiB apart at +random; medians can fall on different levels by chance and fail identical binaries, while the +largest peaks of both sides reach the upper level. A row records `rss_a1_max_bytes`, +`rss_b_max_bytes`, `rss_allowance_bytes`, `rss_balanced_ratio`, `rss_a2_max_bytes` (a +diagnostic) and `rss_verdict`. The check compares the largest observed peaks; it is no absolute +memory bound. + +**Allocator environment.** `aba.py` neither sets nor clears an allocator variable +(`MallocLargeCache=0` would hide the cache levels and with them a candidate's genuine peak). It +records the harness's environment in `report.json` `allocator_env` and on the summary's +"allocator environment" line: whether `MallocLargeCache` is set, and every variable whose name +starts with `Malloc` or `MALLOC_` or is `DYLD_INSERT_LIBRARIES`, `LD_PRELOAD` or +`GLIBC_TUNABLES`. A run with any such variable is not conforming. + +**Provenance.** `meta.txt` lists the sha256 of both harness binaries (each checked against its +build record when it has one) and of the orchestrator and driver sources (`aba.py`, +`harness.cpp`, `aba_rows.hpp`, `aba_api.hpp`, hashed at the start). A side's binary is +re-hashed before and after every block and at the end of the run; a difference, or a binary +that can no longer be read, aborts the run. `--expect-meta meta.txt` refuses to start unless +every hash equals a previous run's (the refusal names the hashes that differ). Both sides' +harnesses run in the repository root with the environment `aba.py` was started in, unchanged: +`aba.py` sets and clears no variable. + +**Machine state.** Each block records the 1-minute load before and after; the summary has a +machine-state line (load averages, top CPU consumers) at the start and the end of the run. + +### The sides + +Every selected row runs as A1 = `--old-bin`, B = `--new-bin`, A2 = `--old-bin` with every rule +above: two builds of the current Core. Both must run this checkout's driver (`build.sh` builds +them so): the two harnesses must list the same rows, record for record, and a side's build +record, when it has one, must carry this checkout's driver as its `driver_sha256`: exactly the +driver files `meta.txt` names (`harness.cpp`, `aba_rows.hpp`, `aba_api.hpp`), each with the +sha256 it has at the start of the run; else the run is refused, so a harness built before the +rows or the adapter changed is not timed. A side without a build record is not checked this way +(`report.json` records its build record as empty). + +### Selecting rows + +`--rows` takes comma-separated globs over row names and groups (`all`, `construct.*`, +`kernel`); spaces around a glob are ignored, and no text means `all`. **A glob that matches no +row or group refuses the run** before any block, with the list of the groups that exist, even +beside globs that match. The report records, per glob, the rows it selected and the rows of its +groups it did not, and per group the rows the whole selection left out. + +Other options: `--iters row=N,...` (both sides) or `row=NA:NB,...` (per side) pins the timed +blocks' iteration counts of a row in place of the calibrated ones (every item names a selected +row, once; a count is at most 2^63 - 1, the largest the harness reads); `--triples` (default 7, +fewer only with `--allow-short`, "Per row" above); `--seed` (default 20261003) and +`--resamples` of the bootstrap; `--old-label` and `--new-label` (defaults `old` and `new`; two +different labels, below); `--out` (absent or empty). + +**Names.** A row's name and its group are 1 to 64 of the characters `a`-`z`, `0`-`9`, `.`, +`_` and `-`; a side's label is 1 to 32 of `a`-`z`, `0`-`9`, `_` and `-` (no dot). They make the +stderr logs' names, `blocks/.(w); + if (wsum == 0) { // all-zero weights give nothing + std::fill(out.begin(), out.begin() + static_cast(k), 0); + return; + } Amount given = 0; for (std::size_t m = 0; m < k; ++m) { // Lower quota floor(total * w / W): exactly the quotients w / j >= W / total. @@ -50,7 +55,9 @@ void highest_averages(Amount total, std::span weights, std::span 0) { @@ -84,9 +91,7 @@ void highest_averages(Amount total, std::span weights, std::span(at, num_roots); + at += num_roots; + w.root_pos = std::span(at, num_roots); + root_pos = w.root_pos; + at += num_roots; dsts = std::span(at, num_dsts); at += num_dsts; - Layout w; w.topo = std::span(at, positions); at += positions; w.out_begin = std::span(at, positions); @@ -122,29 +133,30 @@ KernelPlan::Layout KernelPlan::point(std::size_t num_dsts, std::size_t positions return w; } -KernelPlan::Layout KernelPlan::layout(std::span destinations, std::size_t positions, - std::size_t num_members) { - const std::size_t words = destinations.size() + 3 * positions + num_members + (positions + 3) / 4; +KernelPlan::Layout KernelPlan::layout(std::span roots_in, std::span destinations, + std::size_t positions, std::size_t num_members) { + const std::size_t words = + 2 * roots_in.size() + destinations.size() + 3 * positions + num_members + (positions + 3) / 4; std::vector store(words, 0); // the one allocation store_.swap(store); - const Layout w = point(destinations.size(), positions, num_members); - std::copy(destinations.begin(), destinations.end(), store_.begin()); + const Layout w = point(roots_in.size(), destinations.size(), positions, num_members); + std::copy(roots_in.begin(), roots_in.end(), store_.begin()); + std::fill(w.root_pos.begin(), w.root_pos.end(), -1); + std::copy(destinations.begin(), destinations.end(), store_.begin() + static_cast(2 * roots_in.size())); return w; } KernelPlan::KernelPlan(const KernelPlan& other) - : placement(other.placement), admission(other.admission), src(other.src), route(other.route), - members(other.members), weights(other.weights), src_out_begin(other.src_out_begin), - src_out_end(other.src_out_end), store_(other.store_) { - (void)point(other.dsts.size(), other.topo.size(), other.head_pos.size()); + : placement(other.placement), admission(other.admission), route(other.route), members(other.members), + weights(other.weights), store_(other.store_) { + (void)point(other.roots.size(), other.dsts.size(), other.topo.size(), other.head_pos.size()); } KernelPlan::KernelPlan(KernelPlan&& other) noexcept - : placement(other.placement), admission(other.admission), src(other.src), route(std::move(other.route)), - members(std::move(other.members)), weights(std::move(other.weights)), src_out_begin(other.src_out_begin), - src_out_end(other.src_out_end), store_(std::move(other.store_)) { - (void)point(other.dsts.size(), other.topo.size(), other.head_pos.size()); - (void)other.point(0, 0, 0); + : placement(other.placement), admission(other.admission), route(std::move(other.route)), + members(std::move(other.members)), weights(std::move(other.weights)), store_(std::move(other.store_)) { + (void)point(other.roots.size(), other.dsts.size(), other.topo.size(), other.head_pos.size()); + (void)other.point(0, 0, 0, 0); } KernelPlan& KernelPlan::operator=(const KernelPlan& other) { @@ -159,18 +171,16 @@ KernelPlan& KernelPlan::operator=(KernelPlan&& other) noexcept { if (this != &other) { placement = other.placement; admission = other.admission; - src = other.src; route = std::move(other.route); members = std::move(other.members); weights = std::move(other.weights); - src_out_begin = other.src_out_begin; - src_out_end = other.src_out_end; + const std::size_t nr = other.roots.size(); const std::size_t nd = other.dsts.size(); const std::size_t np = other.topo.size(); const std::size_t nm = other.head_pos.size(); store_ = std::move(other.store_); - (void)point(nd, np, nm); - (void)other.point(0, 0, 0); + (void)point(nr, nd, np, nm); + (void)other.point(0, 0, 0, 0); } return *this; } @@ -189,6 +199,7 @@ struct DagScratch { std::uint8_t state {0}; // backward DFS: 1 open, 2 done (reaches a destination) std::uint8_t fwd {0}; // reached from the source std::uint8_t target {0}; // a destination + std::uint8_t root {0}; // a root of the plan std::int32_t position {0}; std::int32_t first {0}; // the node's first member std::int32_t count {0}; // the node's number of members @@ -225,18 +236,18 @@ DagScratch& dag_scratch() { } // Build plan.members from the DAG's incoming-edge lists: keep edges accepted by keep(e) that -// lie on a src-to-destination walk; exclude edges leaving destinations. No node renumbering, -// extra arc arrays or adjacency offsets are needed. A backward DFS from destinations lists -// each node after its parents (postorder, also a topological order here). -// A forward pass then marks nodes reachable from src. Members ascend by EdgeId, so one tail's -// members are consecutive. Any topological order gives the same allocation because each node -// splits only after receiving all its inflow. +// lie on a walk from a root to a destination; exclude edges leaving destinations. No node +// renumbering, extra arc arrays or adjacency offsets are needed. A backward DFS from destinations +// lists each node after its parents (postorder, also a topological order here). +// A forward pass then marks nodes reachable from the roots. Members ascend by EdgeId, so one +// tail's members are consecutive. Any topological order gives the same allocation because each +// node splits only after receiving all its inflow. // With `cost`, the forward pass computes minimum cost to each node from its parents' costs -// (dynamic programming, DP), giving the minimum source-to-destination cost over members, or +// (dynamic programming, DP), giving the minimum root-to-destination cost over members, or // kUnreachable if none exist. Without `out` (route_cost), stop there and build no plan. template -void build_split(const Graph& g, const PredDAG& dag, NodeId src, std::span dsts, Keep keep, - KernelPlan* out, Cost* cost) { +void build_split(const Graph& g, const PredDAG& dag, std::span roots, std::span dsts, + Keep keep, KernelPlan* out, Cost* cost) { if (cost != nullptr) *cost = kUnreachable; const auto parents = dag.parents(); const auto via = dag.via_edges(); @@ -257,7 +268,10 @@ void build_split(const Graph& g, const PredDAG& dag, NodeId src, std::span(num_pos); - const KernelPlan::Layout w = plan.layout(dsts, P, num_members); + const KernelPlan::Layout w = plan.layout(roots, dsts, P, num_members); std::size_t pos = 0; for (NodeId v : s.order) { const auto& nv = s.at(v); @@ -383,30 +394,36 @@ void build_split(const Graph& g, const PredDAG& dag, NodeId src, std::span prune(const Graph& g, const PredDAG& dag, NodeId src, std::span dsts) { KernelPlan plan; - build_split(g, dag, src, dsts, [](EdgeId) { return true; }, &plan, nullptr); + build_split(g, dag, {&src, 1}, dsts, [](EdgeId) { return true; }, &plan, nullptr); return std::move(plan.members); } Cost route_cost(const Graph& g, const PredDAG& route, NodeId src, std::span dsts) { Cost cost = kUnreachable; - build_split(g, route, src, dsts, [](EdgeId) { return true; }, nullptr, &cost); + build_split(g, route, {&src, 1}, dsts, [](EdgeId) { return true; }, nullptr, &cost); return cost; } -KernelPlan make_plan(const Graph& g, FlowPlacement placement, Admission admission, EdgePriority priority, - NodeId src, std::span dsts, const PredDAG& route, - std::span creation_view, Cost* cost) { +namespace { + +KernelPlan plan_of(const Graph& g, FlowPlacement placement, Admission admission, EdgePriority priority, + std::span roots, std::span dsts, const PredDAG& route, + std::span creation_view, Cost* cost) { check_kernel(placement, admission, priority); const auto edges = PredDAGBuilder::ascending(route); const bool by_view = placement == FlowPlacement::Weighted && priority == EdgePriority::Residual; @@ -417,7 +434,6 @@ KernelPlan make_plan(const Graph& g, FlowPlacement placement, Admission admissio KernelPlan plan; plan.placement = placement; plan.admission = admission; - plan.src = src; plan.route.assign(edges.begin(), edges.end()); // The creation view of a route edge (the route ascends: a binary search). auto creation = [&](EdgeId e) { @@ -430,9 +446,9 @@ KernelPlan make_plan(const Graph& g, FlowPlacement placement, Admission admissio if (placement != FlowPlacement::Weighted) return true; return (by_view ? creation(e) : capacity[static_cast(e)]) >= 1; }; - build_split(g, route, src, dsts, member, &plan, cost); + build_split(g, route, roots, dsts, member, &plan, cost); // The route's cost is the members' only when every route edge is a member. - if (cost != nullptr && plan.members.size() != plan.route.size()) *cost = route_cost(g, route, src, dsts); + if (cost != nullptr && plan.members.size() != plan.route.size()) *cost = route_cost(g, route, roots[0], dsts); if (placement == FlowPlacement::Weighted) { plan.weights.reserve(plan.members.size()); for (EdgeId e : plan.members) plan.weights.push_back(by_view ? creation(e) : capacity[static_cast(e)]); @@ -440,6 +456,20 @@ KernelPlan make_plan(const Graph& g, FlowPlacement placement, Admission admissio return plan; } +} // namespace + +KernelPlan make_plan(const Graph& g, FlowPlacement placement, Admission admission, EdgePriority priority, + NodeId src, std::span dsts, const PredDAG& route, + std::span creation_view, Cost* cost) { + return plan_of(g, placement, admission, priority, {&src, 1}, dsts, route, creation_view, cost); +} + +KernelPlan make_plan(const Graph& g, FlowPlacement placement, Admission admission, EdgePriority priority, + std::span roots, std::span dsts, const PredDAG& route, + std::span creation_view) { + return plan_of(g, placement, admission, priority, roots, dsts, route, creation_view, nullptr); +} + KernelPlan make_route_plan(const Graph& g, FlowPlacement placement, Admission admission, EdgePriority priority, NodeId src, std::span dsts, const PredDAG& bundle, const Eligibility* elig, Cost* cost) { @@ -448,9 +478,8 @@ KernelPlan make_route_plan(const Graph& g, FlowPlacement placement, Admission ad KernelPlan plan; plan.placement = placement; plan.admission = admission; - plan.src = src; auto allowed = [&](EdgeId e) { return elig == nullptr || elig->edge_ok(e); }; - build_split(g, bundle, src, dsts, allowed, &plan, cost); + build_split(g, bundle, {&src, 1}, dsts, allowed, &plan, cost); plan.route = plan.members; if (placement != FlowPlacement::Weighted || priority != EdgePriority::Capacity) return plan; // Weighted with capacity weights: the members are the route edges of positive capacity, on @@ -465,11 +494,10 @@ KernelPlan make_route_plan(const Graph& g, FlowPlacement placement, Admission ad return plan; } KernelPlan weighted; - build_split(g, bundle, src, dsts, [&](EdgeId e) { return allowed(e) && capacity[static_cast(e)] >= 1; }, - &weighted, nullptr); + build_split(g, bundle, {&src, 1}, dsts, + [&](EdgeId e) { return allowed(e) && capacity[static_cast(e)] >= 1; }, &weighted, nullptr); weighted.placement = placement; weighted.admission = admission; - weighted.src = src; weighted.route = std::move(plan.route); weighted.weights.reserve(weighted.members.size()); for (EdgeId e : weighted.members) weighted.weights.push_back(capacity[static_cast(e)]); @@ -740,14 +768,14 @@ std::optional cost_only_creation(const Graph& g, const std::sh KernelPlan& plan = out.plan; plan.placement = placement; plan.admission = admission; - plan.src = src; plan.route.assign(route.begin(), route.end()); plan.members.assign(route.begin(), route.end()); if (placement == FlowPlacement::Weighted) { plan.weights.resize(route.size()); for (std::size_t k = 0; k < route.size(); ++k) plan.weights[k] = capacity[static_cast(route[k])]; } - const KernelPlan::Layout lay = plan.layout(dsts, r, route.size()); + const KernelPlan::Layout lay = plan.layout({&src, 1}, dsts, r, route.size()); + lay.root_pos[0] = 0; // src comes first in the order for (std::size_t p = 0; p < r; ++p) { const auto v = static_cast(s.order[p]); const NodeId x = s.reached[v]; @@ -758,8 +786,6 @@ std::optional cost_only_creation(const Graph& g, const std::sh lay.out_end[p] = b + s.count[v]; } for (std::size_t k = 0; k < route.size(); ++k) lay.head_pos[k] = s.position[static_cast(s.head[k])]; - plan.src_out_begin = plan.out_begin[0]; - plan.src_out_end = plan.out_end[0]; // The record bundle: the support itself when the route is all of it (bundle_of's share). if (route.size() == sup.size()) { out.bundle = support; @@ -784,17 +810,45 @@ std::optional cost_only_creation(const Graph& g, const std::sh // ---------------------------------------------------------------- allocation +namespace { + +// The view summed over the roots' out-members, and at most the number of roots before the first +// root without a member: no larger total fits (that root would receive a share with no route). +Amount total_bound(const KernelPlan& plan, std::span view_m) { + Amount hi = 0; + for (std::size_t i = 0; i < plan.roots.size(); ++i) { + const auto p = plan.root_pos[i]; + if (p < 0) return std::min(hi, static_cast(i)); + for (auto m = plan.out_begin[static_cast(p)]; m < plan.out_end[static_cast(p)]; ++m) { + hi += view_m[static_cast(m)]; + } + } + return hi; +} + +} // namespace + bool allocate(const KernelPlan& plan, Amount total, std::span out, std::span limit) { std::fill(out.begin(), out.end(), 0); - if (total == 0 || plan.members.empty()) { - if (total != 0) throw std::logic_error("allocate: an empty split graph carries nothing"); - return true; - } + if (total == 0) return true; const bool weighted = plan.placement == FlowPlacement::Weighted; const bool limited = !limit.empty(); thread_local std::vector inflow; inflow.assign(plan.topo.size(), 0); - inflow[0] = total; + // The roots' round-robin shares (only the positive ones are visited). A positive share of a + // root without a member has no route; every caller stays at or below total_bound, which no such + // share reaches. + bool routed = true; + round_robin(total, plan.roots.size(), [&](std::size_t i, Amount x) { + const auto p = plan.root_pos[i]; + if (p < 0) { + routed = false; + return false; + } + inflow[static_cast(p)] += x; + return true; + }); + if (!routed) throw std::logic_error("allocate: a root without a member receives a share"); for (std::size_t p = 0; p < plan.topo.size(); ++p) { const Amount amount = inflow[p]; if (amount == 0 || plan.terminal[p] != 0) continue; @@ -829,14 +883,16 @@ bool allocate(const KernelPlan& plan, Amount total, std::span out, std:: namespace { -// A floating-point estimate of T_max: the fraction f of the source's inflow that each member -// carries under the plan's split (1/k per round-robin member, w/W per Weighted member), then -// min over members of view / f. It only chooses the first probe of the exact search below -// (approximate arithmetic may choose probes, nothing else). +// A floating-point estimate of T_max: the fraction f of the total that each member carries +// under the plan's split (1/H at each of H roots, 1/k per round-robin member, w/W per Weighted +// member), then min over members of view / f. It only chooses the first probe of the exact +// search below (approximate arithmetic may choose probes, nothing else). double estimate_t_max(const KernelPlan& plan, std::span view_m) { thread_local std::vector f; f.assign(plan.topo.size(), 0.0); - f[0] = 1.0; + for (auto p : plan.root_pos) { + if (p >= 0) f[static_cast(p)] += 1.0 / static_cast(plan.roots.size()); + } const bool weighted = plan.placement == FlowPlacement::Weighted; double best = std::numeric_limits::infinity(); for (std::size_t p = 0; p < plan.topo.size(); ++p) { @@ -936,8 +992,7 @@ std::vector& probe_scratch(std::size_t size) { TMax t_max(const KernelPlan& plan, std::span view_m) { TMax out; if (plan.members.empty()) return out; - Amount hi = 0; - for (auto k = plan.src_out_begin; k < plan.src_out_end; ++k) hi += view_m[static_cast(k)]; + const Amount hi = total_bound(plan, view_m); auto& probe = probe_scratch(plan.members.size()); // alloc(hi) fits only when every member can take it; else search below hi (the search's // probes are counted, this one is not, like the target probe of a Lossless step). @@ -958,8 +1013,7 @@ LosslessStep lossless_step(const Graph& g, const KernelPlan& plan, Amount total, // A fresh solve on the replacement view (own_m is part of view_m, so the flow's own // allocation is cancellable; other owners are not in the view). const std::optional cap = request.has_value() ? std::optional(total + *request) : std::nullopt; - const NodeId src[1] = {plan.src}; - auto r = solve_subset(g, plan.members, view_m, src, plan.dsts, cap); + auto r = solve_subset(g, plan.members, view_m, plan.roots, plan.dsts, cap); if (r.placed < total) throw std::logic_error("MaxFlow kernel: the replacement solve lost committed flow"); out.total = r.placed; out.alloc = std::move(r.flows); @@ -971,8 +1025,7 @@ LosslessStep lossless_step(const Graph& g, const KernelPlan& plan, Amount total, out.total = total; return out; } - Amount hi = 0; - for (auto k = plan.src_out_begin; k < plan.src_out_end; ++k) hi += view_m[static_cast(k)]; + const Amount hi = total_bound(plan, view_m); const Amount target = request.has_value() ? std::min(total + *request, hi) : hi; if (target <= total) { out.total = total; @@ -994,56 +1047,216 @@ LosslessStep lossless_step(const Graph& g, const KernelPlan& plan, Amount total, return out; } -LossyStep lossy_step(const KernelPlan& plan, std::optional offer, std::span w_m) { - if (plan.admission != Admission::Lossy) throw std::logic_error("lossy_step on a Lossless plan"); - LossyStep out; +namespace { + +// The per-root bookkeeping of an attributed forwarding (per thread): each position's arrivals as +// a list of (root, amount) entries, and a dense per-root accumulator with its touched roots. +struct Arrivals { + std::vector head; // per position: its first entry, -1 none + std::vector root; // per entry + std::vector amount; + std::vector next; + std::vector acc; // per root + std::vector touched; + std::vector weight; // per touched root + std::vector row; + std::vector arrive; + std::vector keep; + + void begin(std::size_t positions, std::size_t roots) { + head.assign(positions, -1); + root.clear(); + amount.clear(); + next.clear(); + acc.assign(roots, 0); + } + void push(std::int32_t p, std::int32_t r, Amount x) { + root.push_back(r); + amount.push_back(x); + next.push_back(head[static_cast(p)]); + head[static_cast(p)] = static_cast(root.size()) - 1; + } + // The roots arriving at position p (plus `own`, a root injecting there, when >= 0) with their + // amounts in `acc`, in ascending root order. + void gather(std::int32_t p, std::int32_t own) { + touched.clear(); + for (auto k = head[static_cast(p)]; k >= 0; k = next[static_cast(k)]) { + const auto r = static_cast(root[static_cast(k)]); + if (acc[r] == 0) touched.push_back(static_cast(r)); + acc[r] += amount[static_cast(k)]; + } + if (own >= 0 && acc[static_cast(own)] == 0) touched.push_back(own); + std::sort(touched.begin(), touched.end()); + } + void clear_touched() { + for (auto r : touched) acc[static_cast(r)] = 0; + } +}; + +Arrivals& arrivals_scratch() { + thread_local Arrivals a; + return a; +} + +} // namespace + +namespace { + +// The forwarding, compiled with and without the attribution (kAttribute: attr is non-null), so the +// one-source and Pinned calls carry none of its code. +template +Forwarding forward_on(const KernelPlan& plan, const Injection& in, std::span w_m, Attribution* attr) { + const std::size_t H = plan.roots.size(); + const std::size_t P = plan.topo.size(); + const bool capped = !w_m.empty(); + if (!in.first_hop && in.per_root.size() != H) throw std::logic_error("forward: the injection is not root-aligned"); + // The first-hop experiment reads the view of the roots' members (a program without a member + // injects nothing). + if (in.first_hop && !capped && !plan.members.empty()) { + throw std::logic_error("forward: the first-hop injection needs a view"); + } + Forwarding out; out.carried.assign(plan.members.size(), 0); out.drops.assign(plan.members.size(), 0); - if (plan.members.empty() || plan.src_out_begin == plan.src_out_end) { - out.offered = offer.value_or(0); - return out; + if constexpr (kAttribute) { + attr->offered.assign(H, 0); + attr->source_loss.assign(H, 0); + attr->delivered.assign(H, 0); + attr->entries.assign(H, {}); } const bool weighted = plan.placement == FlowPlacement::Weighted; thread_local std::vector inflow; thread_local std::vector part; - inflow.assign(plan.topo.size(), 0); - for (std::size_t p = 0; p < plan.topo.size(); ++p) { - if (plan.terminal[p] != 0) continue; + thread_local std::vector own_at; // first hop: the root injecting at each position + inflow.assign(P, 0); + Arrivals& a = arrivals_scratch(); + if constexpr (kAttribute) a.begin(P, H); + if (in.first_hop) own_at.assign(P, -1); + // The roots' injections: a root without a member loses its own (none in the first-hop + // experiment, where a root injects only on its members). + for (std::size_t i = 0; i < H; ++i) { + const auto p = plan.root_pos[i]; + const auto ri = static_cast(i); + if (in.first_hop) { + if (p < 0) continue; + own_at[static_cast(p)] = ri; + Amount x = 0; + for (auto m = plan.out_begin[static_cast(p)]; m < plan.out_end[static_cast(p)]; ++m) { + x += w_m[static_cast(m)]; + } + out.offered += x; + out.injected += x; + if constexpr (kAttribute) attr->offered[i] = x; + continue; + } + const Amount x = in.per_root[i]; + out.offered += x; + if constexpr (kAttribute) attr->offered[i] = x; + if (x == 0) continue; + if (p < 0) { + out.source_loss += x; + if constexpr (kAttribute) attr->source_loss[i] = x; + continue; + } + out.injected += x; + inflow[static_cast(p)] += x; + if constexpr (kAttribute) a.push(p, ri, x); + } + for (std::size_t p = 0; p < P; ++p) { + const auto pi = static_cast(p); + const std::int32_t own = in.first_hop ? own_at[p] : -1; + const Amount amount = inflow[p]; + if (plan.terminal[p] != 0) { + out.delivered += amount; + if (kAttribute && amount != 0) { + a.gather(pi, -1); + for (auto r : a.touched) attr->delivered[static_cast(r)] += a.acc[static_cast(r)]; + a.clear_touched(); + } + continue; + } + if (amount == 0 && own < 0) continue; const auto b = static_cast(plan.out_begin[p]); const auto e = static_cast(plan.out_end[p]); const std::size_t k = e - b; + // The members with a share: round robin writes the first n (the rest receive nothing), + // highest averages all k; a root of the first-hop experiment injects on every member. part.resize(k); - Amount amount = p == 0 ? offer.value_or(0) : inflow[p]; - std::size_t n = k; // the members with a share (round robin leaves the rest at 0, unwritten) - if (p == 0 && !offer.has_value()) { - for (std::size_t i = 0; i < k; ++i) part[i] = w_m[b + i]; - } else { - if (amount == 0) continue; + std::size_t n = 0; + if (amount != 0) { if (weighted) { - highest_averages(amount, std::span(plan.weights.data() + b, k), std::span(part.data(), k)); + highest_averages(amount, std::span(plan.weights.data() + b, k), part); + n = k; } else { - n = round_robin(amount, k, [&](std::size_t i, Amount x) { - part[i] = x; - return true; - }); + n = round_robin(amount, part); } } + if (own >= 0) { + std::fill(part.begin() + static_cast(n), part.end(), Amount {0}); + n = k; + } + if constexpr (kAttribute) { + a.gather(pi, own); + a.weight.resize(a.touched.size()); + a.row.resize(a.touched.size()); + a.arrive.resize(a.touched.size()); + a.keep.resize(a.touched.size()); + } for (std::size_t i = 0; i < n; ++i) { - const Amount x = part[i]; - if (p == 0) out.injected += x; + const std::size_t m = b + i; + const Amount mine = own >= 0 ? w_m[m] : 0; + const Amount x = part[i] + mine; if (x == 0) continue; - const auto m = b + i; - const Amount c = std::min(x, w_m[m]); + const Amount c = capped ? std::min(x, w_m[m]) : x; out.carried[m] = c; out.drops[m] = x - c; - inflow[static_cast(plan.head_pos[m])] += c; + const auto head = plan.head_pos[m]; + inflow[static_cast(head)] += c; + if constexpr (!kAttribute) continue; + // The member's amount by highest averages over the remaining inflows (then the root's own + // first-hop injection on it), and what it carries by highest averages over those arrivals. + const std::size_t t = a.touched.size(); + for (std::size_t j = 0; j < t; ++j) a.weight[j] = a.acc[static_cast(a.touched[j])]; + highest_averages(part[i], a.weight, a.row); + for (std::size_t j = 0; j < t; ++j) { + const auto r = a.touched[j]; + a.acc[static_cast(r)] -= a.row[j]; + a.arrive[j] = a.row[j] + (r == own ? mine : 0); + } + if (c == x) { + std::copy(a.arrive.begin(), a.arrive.end(), a.keep.begin()); + } else { + highest_averages(c, a.arrive, a.keep); + } + for (std::size_t j = 0; j < t; ++j) { + if (a.arrive[j] == 0) continue; + const auto r = a.touched[j]; + attr->entries[static_cast(r)].push_back( + Attribution::Entry {static_cast(m), a.keep[j], a.arrive[j] - a.keep[j]}); + if (a.keep[j] != 0) a.push(head, r, a.keep[j]); + } + } + if constexpr (kAttribute) { + for (auto r : a.touched) { + if (a.acc[static_cast(r)] != 0) { + throw std::logic_error("forward: a router's inflow is not fully attributed"); + } + } } } - for (std::size_t p = 0; p < plan.topo.size(); ++p) { - if (plan.terminal[p] != 0) out.delivered += inflow[p]; + if (in.first_hop) out.offered = out.injected; + if constexpr (kAttribute) { + for (auto& rows : attr->entries) { + std::sort(rows.begin(), rows.end(), [](const auto& x, const auto& y) { return x.member < y.member; }); + } } - out.offered = offer.has_value() ? *offer : out.injected; return out; } +} // namespace + +Forwarding forward(const KernelPlan& plan, const Injection& in, std::span w_m, Attribution* attr) { + return attr != nullptr ? forward_on(plan, in, w_m, attr) : forward_on(plan, in, w_m, attr); +} + } // namespace netgraph::core::detail diff --git a/tests/cpp/cost_only_creation_tests.cpp b/tests/cpp/cost_only_creation_tests.cpp index fb1e7c0..8c74c11 100644 --- a/tests/cpp/cost_only_creation_tests.cpp +++ b/tests/cpp/cost_only_creation_tests.cpp @@ -503,7 +503,8 @@ TEST(KernelPlanBlock, CopiesAndMovesKeepTheirOwnViews) { // A copy's views point into its own block (none into the source's), and stay valid once the // source is gone. auto own_block = [](const KernelPlan& a, const KernelPlan& b) { - return a.dsts.data() != b.dsts.data() && a.topo.data() != b.topo.data() && + return a.roots.data() != b.roots.data() && a.root_pos.data() != b.root_pos.data() && + a.dsts.data() != b.dsts.data() && a.topo.data() != b.topo.data() && a.out_begin.data() != b.out_begin.data() && a.out_end.data() != b.out_end.data() && a.head_pos.data() != b.head_pos.data() && a.terminal.data() != b.terminal.data(); }; @@ -515,7 +516,8 @@ TEST(KernelPlanBlock, CopiesAndMovesKeepTheirOwnViews) { KernelPlan donor(copy); KernelPlan moved(std::move(donor)); expect_same_plan(moved, original, "move"); - EXPECT_TRUE(donor.topo.empty() && donor.dsts.empty() && donor.head_pos.empty() && donor.terminal.empty()); + EXPECT_TRUE(donor.topo.empty() && donor.dsts.empty() && donor.head_pos.empty() && donor.terminal.empty() && + donor.roots.empty() && donor.root_pos.empty()); KernelPlan assigned; assigned = copy; expect_same_plan(assigned, original, "copy assignment"); @@ -524,13 +526,51 @@ TEST(KernelPlanBlock, CopiesAndMovesKeepTheirOwnViews) { dag, {}); target = std::move(moved); expect_same_plan(target, original, "move assignment"); - EXPECT_TRUE(moved.topo.empty() && moved.dsts.empty() && moved.head_pos.empty() && moved.terminal.empty()); + EXPECT_TRUE(moved.topo.empty() && moved.dsts.empty() && moved.head_pos.empty() && moved.terminal.empty() && + moved.roots.empty() && moved.root_pos.empty()); const KernelPlan& self = target; target = self; expect_same_plan(target, original, "self assignment"); const KernelPlan empty; const KernelPlan empty_copy(empty); - EXPECT_TRUE(empty_copy.dsts.empty() && empty_copy.topo.empty() && empty_copy.members.empty()); + EXPECT_TRUE(empty_copy.dsts.empty() && empty_copy.topo.empty() && empty_copy.members.empty() && + empty_copy.roots.empty() && empty_copy.root_pos.empty()); +} + +// A lifetime witness: two identical chains, 0 -> 1 -> 2 and 3 -> 4 -> 5, give plans of one shape +// (one root, one destination, three positions, two members) and other values. A copy (and a copy +// assignment) of the first chain's plan keeps its roots, root positions and destinations after the +// plan it was copied from is destroyed and plans of the same shape for the second chain have been +// built (they reuse freed blocks of that size): a copy whose views still pointed into the +// destroyed block would read the second chain's root 3 and destination 5. +TEST(KernelPlanBlock, ACopyOutlivesItsSource) { + const Graph g = make_graph(6, {{0, 1, 2, 1}, {1, 2, 2, 1}, {3, 4, 2, 1}, {4, 5, 2, 1}}); + auto chain = [&](NodeId src, NodeId dst) { + const std::vector edges = src == 0 ? std::vector {0, 1} : std::vector {2, 3}; + const auto dag = PredDAGBuilder::of_edges(g, edges); + return make_plan(g, FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Capacity, src, + std::vector {dst}, dag, {}); + }; + for (const bool assign : {false, true}) { + std::optional owner(chain(0, 2)); + ASSERT_EQ(vec(owner->roots), (std::vector {0})); + ASSERT_EQ(vec(owner->root_pos), (std::vector {0})); + std::optional copy; + if (assign) { + copy.emplace(chain(3, 5)); + *copy = *owner; + } else { + copy.emplace(*owner); + } + owner.reset(); + std::vector later; + for (int i = 0; i < 64; ++i) later.push_back(chain(3, 5)); + const std::string where = assign ? "copy assignment" : "copy construction"; + EXPECT_EQ(vec(copy->roots), (std::vector {0})) << where; + EXPECT_EQ(vec(copy->root_pos), (std::vector {0})) << where; + EXPECT_EQ(vec(copy->dsts), (std::vector {2})) << where; + EXPECT_EQ(vec(copy->topo), (std::vector {0, 1, 2})) << where; + } } // The plan comparison names every field that differs: a copy of a real plan with one field changed @@ -564,7 +604,10 @@ TEST(TestHelpers, PlanDifferencesNameEveryField) { const std::vector> changes = { {"placement", [](auto& x) { x.placement = FlowPlacement::EqualBalanced; }}, {"admission", [](auto& x) { x.admission = Admission::Lossy; }}, - {"src", [](auto& x) { ++x.src; }}, + {"roots", [&](auto& x) { x.roots = nodes_of(x.roots, false); }}, + {"roots", [&](auto& x) { x.roots = nodes_of(x.roots, true); }}, + {"root_pos", [&](auto& x) { x.root_pos = positions_of(x.root_pos, false); }}, + {"root_pos", [&](auto& x) { x.root_pos = positions_of(x.root_pos, true); }}, {"dsts", [&](auto& x) { x.dsts = nodes_of(x.dsts, false); }}, {"dsts", [&](auto& x) { x.dsts = nodes_of(x.dsts, true); }}, {"route", [](auto& x) { x.route.push_back(0); }}, @@ -591,8 +634,6 @@ TEST(TestHelpers, PlanDifferencesNameEveryField) { flags.push_back(0); x.terminal = flags; }}, - {"src_out_begin", [](auto& x) { ++x.src_out_begin; }}, - {"src_out_end", [](auto& x) { ++x.src_out_end; }}, }; for (std::size_t k = 0; k < changes.size(); ++k) { KernelPlan x = plan; diff --git a/tests/cpp/dag_cache_tests.cpp b/tests/cpp/dag_cache_tests.cpp index f639b71..e6b053c 100644 --- a/tests/cpp/dag_cache_tests.cpp +++ b/tests/cpp/dag_cache_tests.cpp @@ -303,7 +303,7 @@ TEST(DagCacheFrozen, SharedByEveryWorkerOfABatch) { const std::vector, std::vector>> pairs = { {v({0}), v({3})}, {v({1}), v({4})}, {v({2}), v({5})}, {v({0, 1}), v({3, 4})}}; const OutputOptions all {true, true, true}; - const auto want = batch_capacity(*g, pairs, CapacityOptions {cost_only_config(), nullptr, nullptr, all}, {}, 1); + const auto want = batch_capacity(*g, pairs, QueryOptions {cost_only_config(), nullptr, nullptr, all}, {}, 1); for (const auto& r : want) EXPECT_GT(r.placed, 0); // every pair places: the comparison is not of zeros for (int workers : {1, 2, 4}) { DagCache cache(*g); @@ -311,12 +311,12 @@ TEST(DagCacheFrozen, SharedByEveryWorkerOfABatch) { // A building cache with two or more workers is rejected; frozen, it is shared. if (workers > 1) { EXPECT_THROW( - (void)batch_capacity(*g, pairs, CapacityOptions {cost_only_config(), nullptr, &cache, all}, {}, workers), + (void)batch_capacity(*g, pairs, QueryOptions {cost_only_config(), nullptr, &cache, all}, {}, workers), std::invalid_argument); } cache.freeze(); const auto before = cache.stats(); - const auto got = batch_capacity(*g, pairs, CapacityOptions {cost_only_config(), nullptr, &cache, all}, {}, workers); + const auto got = batch_capacity(*g, pairs, QueryOptions {cost_only_config(), nullptr, &cache, all}, {}, workers); ASSERT_EQ(got.size(), want.size()); for (std::size_t i = 0; i < got.size(); ++i) { ASSERT_TRUE(got[i].edge_flows.has_value() && want[i].edge_flows.has_value()) << workers << " " << i; @@ -341,7 +341,7 @@ TEST(DagCacheFrozen, MissPropagatesThroughBatchCapacity) { DagCache cache(*g); (void)cache.lookup(*g, v({4}), Direction::Reverse, nullptr); // only pair 1's key cache.freeze(); - const auto msg = miss_of([&] { (void)batch_capacity(*g, pairs, CapacityOptions {cost_only_config(), nullptr, &cache}, {}, workers); }); + const auto msg = miss_of([&] { (void)batch_capacity(*g, pairs, QueryOptions {cost_only_config(), nullptr, &cache}, {}, workers); }); EXPECT_NE(msg.find("roots {3}"), std::string::npos) << workers << ": " << msg; // pair 0, the lowest index } } @@ -366,20 +366,20 @@ TEST(DagCacheFrozen, PerPairIntersectionsAndPrepopulatedUids) { // A common value containing the per-pair one: intersect returns the per-pair operand. auto before = hits(); const std::vector contained = {&narrow, nullptr}; - EXPECT_EQ(batch_capacity(*g, pairs, CapacityOptions {cost_only_config(), &common, &cache}, contained, 2).size(), 2U); + EXPECT_EQ(batch_capacity(*g, pairs, QueryOptions {cost_only_config(), &common, &cache}, contained, 2).size(), 2U); EXPECT_EQ(hits() - before, 2); // An unchanged intersection (the operand itself) and already-effective values with a null // common value. before = hits(); const std::vector same = {&common, &common}; - EXPECT_EQ(batch_capacity(*g, pairs, CapacityOptions {cost_only_config(), &common, &cache}, same, 2).size(), 2U); + EXPECT_EQ(batch_capacity(*g, pairs, QueryOptions {cost_only_config(), &common, &cache}, same, 2).size(), 2U); const std::vector own = {&narrow, &common}; - EXPECT_EQ(batch_capacity(*g, pairs, CapacityOptions {cost_only_config(), nullptr, &cache}, own, 2).size(), 2U); + EXPECT_EQ(batch_capacity(*g, pairs, QueryOptions {cost_only_config(), nullptr, &cache}, own, 2).size(), 2U); EXPECT_EQ(hits() - before, 4); // An intersection that differs from both operands: a fresh uid, absent from the cache. const auto misses = cache.stats().misses; const std::vector changed = {&other, nullptr}; - const auto msg = miss_of([&] { (void)batch_capacity(*g, pairs, CapacityOptions {cost_only_config(), &common, &cache}, changed, 2); }); + const auto msg = miss_of([&] { (void)batch_capacity(*g, pairs, QueryOptions {cost_only_config(), &common, &cache}, changed, 2); }); EXPECT_NE(msg.find("roots {4}"), std::string::npos) << msg; EXPECT_EQ(msg.find("uid " + std::to_string(common.uid()) + " "), std::string::npos) << msg; EXPECT_EQ(msg.find("uid " + std::to_string(other.uid()) + " "), std::string::npos) << msg; @@ -396,29 +396,21 @@ TEST(DagCacheFrozen, MissPropagatesThroughSensitivity) { DagCache cache(*g); (void)cache.lookup(*g, v({4}), Direction::Reverse, nullptr); cache.freeze(); - const auto msg = miss_of([&] { (void)sensitivity(*g, v({1}), v({4}), SensitivityOptions {cost_only_config(), nullptr, &cache}, workers); }); + const auto msg = miss_of([&] { (void)sensitivity(*g, v({1}), v({4}), QueryOptions {cost_only_config(), nullptr, &cache}, workers); }); EXPECT_NE(msg.find("no entry for roots {4}"), std::string::npos) << workers << ": " << msg; EXPECT_EQ(cache.stats().entries, 1); // nothing inserted } } -TEST(DagCacheFrozen, DeletionModeSensitivityWithASuppliedFrozenCache) { +TEST(DagCacheFrozen, DeletionModeSensitivityRejectsASuppliedFrozenCache) { // Global sensitivity repairs the baseline's state per deletion and reads no cache: a supplied - // frozen cache, shared by two or four workers, gives the result without a cache. + // cache, frozen too, is rejected before any worker starts, its statistics unchanged. const auto g = fabric(); - const auto want = sensitivity(*g, v({0, 1}), v({4, 5}), SensitivityOptions {global_config()}, 1); - ASSERT_GT(want.baseline.placed, 0); - EXPECT_TRUE(std::any_of(want.entries.begin(), want.entries.end(), [](const auto& x) { return x.loss > 0; })); for (int workers : {1, 2, 4}) { DagCache cache(*g); cache.freeze(); - const auto got = sensitivity(*g, v({0, 1}), v({4, 5}), SensitivityOptions {global_config(), nullptr, &cache}, workers); - EXPECT_EQ(got.baseline.placed, want.baseline.placed); - ASSERT_EQ(got.entries.size(), want.entries.size()); - for (std::size_t i = 0; i < got.entries.size(); ++i) { - EXPECT_EQ(got.entries[i].edge, want.entries[i].edge); - EXPECT_EQ(got.entries[i].loss, want.entries[i].loss); - } + EXPECT_THROW((void)sensitivity(*g, v({0, 1}), v({4, 5}), QueryOptions {global_config(), nullptr, &cache}, workers), + std::invalid_argument); EXPECT_EQ(cache.stats().hits + cache.stats().misses, 0); } } @@ -437,7 +429,7 @@ TEST(DagCacheFrozen, AFailedCallChangesNoStatisticButItsMiss) { cache.freeze(); auto before = stats_of(cache.stats()); // Pairs 1 and 2 miss; pairs 0 and 3 hit. - EXPECT_NE(miss_of([&] { (void)batch_capacity(*g, pairs, CapacityOptions {cost_only_config(), nullptr, &cache}, {}, workers); }) + EXPECT_NE(miss_of([&] { (void)batch_capacity(*g, pairs, QueryOptions {cost_only_config(), nullptr, &cache}, {}, workers); }) .find("roots {4}"), std::string::npos); auto want = before; @@ -445,7 +437,7 @@ TEST(DagCacheFrozen, AFailedCallChangesNoStatisticButItsMiss) { EXPECT_EQ(stats_of(cache.stats()), want) << workers; before = stats_of(cache.stats()); EXPECT_NE(miss_of([&] { - (void)sensitivity(*g, v({0}), v({3}), SensitivityOptions {cost_only_config(), nullptr, &cache}, workers); + (void)sensitivity(*g, v({0}), v({3}), QueryOptions {cost_only_config(), nullptr, &cache}, workers); }).find("roots {3}"), std::string::npos); want = before; @@ -468,7 +460,7 @@ TEST(DagCacheFrozen, ConcurrentCallsKeepEverySuccessfulHit) { for (NodeId d : {3, 4}) (void)cache.lookup(*g, v({d}), Direction::Reverse, nullptr); cache.freeze(); const auto before = cache.stats(); - const CapacityOptions opts {cost_only_config(), nullptr, &cache}; + const QueryOptions opts {cost_only_config(), nullptr, &cache}; const std::vector, std::vector>> good = {{v({0}), v({3})}, {v({1}), v({4})}}; const std::vector, std::vector>> bad = {{v({0}), v({3})}, {v({1}), v({5})}}; constexpr int kThreads = 4; diff --git a/tests/cpp/flow_core_deletion_fault_tests.cpp b/tests/cpp/flow_core_deletion_fault_tests.cpp index f2687f8..9154a8c 100644 --- a/tests/cpp/flow_core_deletion_fault_tests.cpp +++ b/tests/cpp/flow_core_deletion_fault_tests.cpp @@ -528,7 +528,7 @@ TEST(DeletionFaults, CaptureFailsAtEveryAllocationOnAColdOrGrowingThread) { TEST(DeletionFaults, GlobalSensitivityFailsAtEveryAllocation) { const auto g = std::make_shared( make_graph(5, {{0, 1, 2, 1}, {1, 2, 2, 1}, {1, 3, 1, 2}, {3, 2, 1, 2}, {2, 4, 2, 1}, {0, 3, 1, 5}})); - const SensitivityOptions opts {global_config(), nullptr, nullptr, OutputOptions {true, true, true}}; + const QueryOptions opts {global_config(), nullptr, nullptr, OutputOptions {true, true, true}}; const std::vector sources {0}; const std::vector destinations {4}; const auto want = sensitivity(*g, sources, destinations, opts, 1); diff --git a/tests/cpp/flow_core_deletion_tests.cpp b/tests/cpp/flow_core_deletion_tests.cpp index b9b6cfb..6ccdf4e 100644 --- a/tests/cpp/flow_core_deletion_tests.cpp +++ b/tests/cpp/flow_core_deletion_tests.cpp @@ -1394,8 +1394,8 @@ TEST(Sensitivity, GlobalLossesEqualCapacityWithTheEdgeExcluded) { int entries = 0, masked = 0, several = 0, scaled = 0, rerouted = 0, partial = 0, cut = 0; for (int trial = 0; trial < 300; ++trial) { const Case c = random_case(rng); - const SensitivityOptions opts {global_config(), c.el()}; - const auto base = capacity(*c.g, c.sources, c.destinations, CapacityOptions {global_config(), c.el(), nullptr, + const QueryOptions opts {global_config(), c.el()}; + const auto base = capacity(*c.g, c.sources, c.destinations, QueryOptions {global_config(), c.el(), nullptr, OutputOptions {true, false, false}}); const auto s1 = sensitivity(*c.g, c.sources, c.destinations, opts, 1); EXPECT_EQ(s1.baseline.placed, base.placed) << trial; @@ -1412,7 +1412,7 @@ TEST(Sensitivity, GlobalLossesEqualCapacityWithTheEdgeExcluded) { const EdgeId one[1] = {entry.edge}; Eligibility without = c.g->eligibility({}, one); if (c.elig) without = Eligibility::intersect(*c.elig, without); - const auto fresh = capacity(*c.g, c.sources, c.destinations, CapacityOptions {global_config(), &without}); + const auto fresh = capacity(*c.g, c.sources, c.destinations, QueryOptions {global_config(), &without}); EXPECT_EQ(entry.loss, base.placed - fresh.placed) << trial << " edge " << entry.edge; auto without_view = caps; without_view[static_cast(entry.edge)] = 0; @@ -1450,14 +1450,14 @@ TEST(Sensitivity, GlobalLossesEqualCapacityWithTheEdgeExcluded) { TEST(Sensitivity, GlobalBaselineKeepsEveryOutputsCombination) { const Case c = make_case(5, {{0, 1, 2, 1}, {1, 2, 2, 1}, {1, 3, 1, 2}, {3, 2, 1, 2}, {2, 4, 2, 1}, {0, 3, 1, 5}}, {0}, {4}); - const auto reference = sensitivity(*c.g, c.sources, c.destinations, SensitivityOptions {global_config()}, 1); + const auto reference = sensitivity(*c.g, c.sources, c.destinations, QueryOptions {global_config()}, 1); ASSERT_FALSE(reference.entries.empty()); - for (int bits = 0; bits < 8; ++bits) { - const OutputOptions outputs {(bits & 1) != 0, (bits & 2) != 0, (bits & 4) != 0}; - SensitivityOptions opts {global_config()}; + for (int bits = 0; bits < 16; ++bits) { + const OutputOptions outputs {(bits & 1) != 0, (bits & 2) != 0, (bits & 4) != 0, (bits & 8) != 0}; + QueryOptions opts {global_config()}; opts.outputs = outputs; const auto s = sensitivity(*c.g, c.sources, c.destinations, opts, 1); - const auto cap = capacity(*c.g, c.sources, c.destinations, CapacityOptions {global_config(), nullptr, nullptr, outputs}); + const auto cap = capacity(*c.g, c.sources, c.destinations, QueryOptions {global_config(), nullptr, nullptr, outputs}); EXPECT_EQ(s.baseline.placed, cap.placed) << bits; EXPECT_EQ(s.baseline.cost_distribution, cap.cost_distribution) << bits; EXPECT_EQ(s.baseline.edge_flows, cap.edge_flows) << bits; @@ -1465,11 +1465,11 @@ TEST(Sensitivity, GlobalBaselineKeepsEveryOutputsCombination) { EXPECT_EQ(s.baseline.bottleneck, cap.bottleneck) << bits; EXPECT_EQ(s.baseline.min_cut, cap.min_cut) << bits; // Each requested output is present, each other one absent; Global's curve always, and its - // min_cut with bottleneck (the uncapped baseline is maximal). + // min_cut when requested (the uncapped baseline is maximal). EXPECT_EQ(s.baseline.edge_flows.has_value(), outputs.edge_flows) << bits; EXPECT_EQ(s.baseline.residual.has_value(), outputs.residual) << bits; EXPECT_EQ(s.baseline.bottleneck.has_value(), outputs.bottleneck) << bits; - EXPECT_EQ(s.baseline.min_cut.has_value(), outputs.bottleneck) << bits; + EXPECT_EQ(s.baseline.min_cut.has_value(), outputs.min_cut) << bits; EXPECT_TRUE(s.baseline.cost_distribution.has_value()) << bits; ASSERT_EQ(s.entries.size(), reference.entries.size()) << bits; for (std::size_t i = 0; i < s.entries.size(); ++i) { diff --git a/tests/cpp/flow_core_tests.cpp b/tests/cpp/flow_core_tests.cpp index bc29196..f31b5ad 100644 --- a/tests/cpp/flow_core_tests.cpp +++ b/tests/cpp/flow_core_tests.cpp @@ -435,11 +435,8 @@ TEST(FlowCore, NetworkSizeLimits) { constexpr std::int32_t kMax = std::numeric_limits::max(); constexpr std::size_t kPairs = (std::size_t {1} << 30) - 1; // twice it, 2^31 - 2, fits int32; 2^31 does not constexpr std::size_t kHuge = std::numeric_limits::max(); - const std::string nodes = - "flow core: the number of nodes exceeds INT32_MAX - 2 (a solve adds a virtual source and sink)"; - const std::string slots = - "flow core: the edges, sources and destinations of a solve number more than 2^30 - 1 together (each takes " - "two int32 arc slots)"; + const std::string nodes = "flow solver node limit exceeded"; + const std::string slots = "flow solver arc limit exceeded"; auto error = [](std::int32_t n, std::size_t e, std::size_t s, std::size_t d) { return error_of([&] { (void)detail::network_vertices(n, e, s, d); }); }; diff --git a/tests/cpp/flow_ledger_fault_tests.cpp b/tests/cpp/flow_ledger_fault_tests.cpp index 0d44acb..a7927ad 100644 --- a/tests/cpp/flow_ledger_fault_tests.cpp +++ b/tests/cpp/flow_ledger_fault_tests.cpp @@ -119,7 +119,6 @@ TEST(LedgerFaults, TheSweepComparatorsCompareEveryField) { [](auto& x) { ++x.owner; }, [](auto& x) { x.sources.push_back(1); }, [](auto& x) { x.destinations.push_back(1); }, - [](auto& x) { x.placement = FlowPlacement::MaxFlow; }, [](auto& x) { x.admission = Admission::Lossy; }, [&](auto& x) { x.bundle = other_bundle; }, [](auto& x) { ++x.route_cost; }, @@ -128,7 +127,6 @@ TEST(LedgerFaults, TheSweepComparatorsCompareEveryField) { [](auto& x) { x.edges.emplace_back(2, 1); }, [](auto& x) { x.drops.emplace_back(2, Counter128 {}); }, }; - ASSERT_EQ(rec.placement, FlowPlacement::EqualBalanced); ASSERT_EQ(rec.admission, Admission::Lossless); ASSERT_FALSE(rec.offered.has_value()); for (std::size_t k = 0; k < records.size(); ++k) { @@ -164,11 +162,22 @@ TEST(LedgerFaults, TheSweepComparatorsCompareEveryField) { const std::vector> results = { [](auto& x) { ++x.placed; }, [](auto& x) { x.remaining = Amount {1}; }, + [](auto& x) { ++x.delivery_delta; }, + [](auto& x) { x.call_drops.emplace_back(2, 1); }, + [](auto& x) { ++x.call_source_loss; }, [](auto& x) { x.termination = Termination::NoRoute; }, - [](auto& x) { x.local_outcomes.emplace_back(1, Termination::NoRoute); }, [](auto& x) { x.routes_changed = !x.routes_changed; }, [](auto& x) { x.weights_changed = !x.weights_changed; }, - [](auto& x) { x.drops.emplace_back(2, 1); }, + [](auto& x) { x.requested.reset(); }, + [](auto& x) { x.offered = Counter128 {0, 1}; }, + [](auto& x) { ++x.admitted.lo; }, + [](auto& x) { ++x.delivered; }, + [](auto& x) { x.unadmitted.reset(); }, + [](auto& x) { ++x.source_loss.lo; }, + [](auto& x) { x.drops.emplace_back(2, Counter128 {0, 1}); }, + [](auto& x) { x.by_source.emplace_back(); }, + [](auto& x) { ++x.by_source[0].delivered; }, + [](auto& x) { x.total_cost = Counter128 {0, 1}; }, [](auto& x) { x.cost_distribution = std::vector> {{9, 1}}; }, [](auto& x) { x.edge_flows->push_back(0); }, [](auto& x) { x.residual->push_back(0); }, @@ -179,6 +188,8 @@ TEST(LedgerFaults, TheSweepComparatorsCompareEveryField) { ASSERT_NE(r.termination, Termination::NoRoute); ASSERT_FALSE(r.cost_distribution.has_value()); // CostOnly: Global's curve only ASSERT_FALSE(r.min_cut.has_value()); + ASSERT_FALSE(r.offered.has_value() || r.total_cost.has_value()); // Lossless CostOnly EqualBalanced + ASSERT_TRUE(r.requested.has_value() && r.unadmitted.has_value() && !r.by_source.empty()); for (std::size_t k = 0; k < results.size(); ++k) { PlacementResult x = r; results[k](x); @@ -191,9 +202,12 @@ TEST(LedgerFaults, TheSweepComparatorsCompareEveryField) { const std::vector> epochs = { [](auto& x) { ++x.requested.hi; }, [](auto& x) { ++x.requested.lo; }, + [](auto& x) { ++x.offered.lo; }, [](auto& x) { x.infinite = !x.infinite; }, + [](auto& x) { x.prepared = !x.prepared; }, [](auto& x) { ++x.placed; }, [](auto& x) { x.curve.emplace_back(9, 1); }, + [](auto& x) { x.program.push_back(0); }, [](auto& x) { x.cohorts.emplace_back(); }, [](auto& x) { ++x.cohorts[0][0].id; }, [](auto& x) { ++x.cohorts[0][0].cost; }, diff --git a/tests/cpp/flow_ledger_tests.cpp b/tests/cpp/flow_ledger_tests.cpp index fda6f22..7b8167c 100644 --- a/tests/cpp/flow_ledger_tests.cpp +++ b/tests/cpp/flow_ledger_tests.cpp @@ -193,8 +193,8 @@ TEST(FlowLedger, BoundWithFlowsRowAndEpochs) { // allocations are unchanged. const Counter128 requested = p.requested(); const auto id = p.flow_id(); - EXPECT_NE(error_of([&] { (void)p.place(1); }).find("after +inf"), std::string::npos); - EXPECT_NE(error_of([&] { (void)p.place(0); }).find("after +inf"), std::string::npos); + EXPECT_NE(error_of([&] { (void)p.place(1); }).find("after infinite placement"), std::string::npos); + EXPECT_NE(error_of([&] { (void)p.place(0); }).find("after infinite placement"), std::string::npos); EXPECT_EQ(p.requested(), requested); EXPECT_TRUE(p.infinite()); EXPECT_EQ(p.flow_id(), id); @@ -390,20 +390,19 @@ TEST(FlowLedger, RecordsCarryTheContractFields) { auto r = p.place(10); EXPECT_EQ(r.placed, 6); EXPECT_EQ(r.termination, Termination::Complete); - EXPECT_EQ(r.drops, (std::vector>{{inv[2], 4}})); + EXPECT_EQ(r.call_drops, (std::vector>{{inv[2], 4}})); r = p.place(1); EXPECT_EQ(r.placed, 0); EXPECT_EQ(r.termination, Termination::Complete); EXPECT_EQ(*r.remaining, 1); // The call's own drops; the record keeps the cumulative 4 + 1 below. - EXPECT_EQ(r.drops, (std::vector>{{inv[2], 1}})); + EXPECT_EQ(r.call_drops, (std::vector>{{inv[2], 1}})); EXPECT_EQ(alloc_in(fg), (std::vector{6, 5, 1, 5})); const auto rec = fg.records().at(0); EXPECT_EQ(rec.flow_id, (FlowId {fg.uid(), 0})); EXPECT_EQ(rec.owner, 0); EXPECT_EQ(rec.sources, (std::vector{0})); EXPECT_EQ(rec.destinations, (std::vector{3})); - EXPECT_EQ(rec.placement, FlowPlacement::EqualBalanced); EXPECT_EQ(rec.admission, Admission::Lossy); ASSERT_TRUE(rec.bundle); EXPECT_EQ(rec.bundle->via_edges().size(), 4u); @@ -489,9 +488,9 @@ TEST(FlowLedger, RequestDomainAndFailedCallsLeaveState) { const LedgerState before = ledger_state(fg); const auto id = p.flow_id(); EXPECT_EQ(error_of([&] { (void)p.place(kDomainLimit); }), - "request 4611686018427387904 is outside [0, 2^62) units (requests are integer units or +inf)"); + "offer must be an integer in [0, 2^62) or permitted +inf"); EXPECT_EQ(error_of([&] { (void)p.place(-1); }), - "request -1 is outside [0, 2^62) units (requests are integer units or +inf)"); + "offer must be an integer in [0, 2^62) or permitted +inf"); // The failed calls changed nothing: the requested total, the +inf flag, the flow and the // ledger (every record field, the aggregate, the residual, the next FlowId and the owners). EXPECT_EQ(p.requested(), (Counter128 {0, 2})); @@ -788,8 +787,8 @@ TEST(FlowLedger, NoRouteCallsRecordTheEpochState) { EXPECT_EQ(r.termination, Termination::NoRoute); EXPECT_FALSE(r.remaining.has_value()); EXPECT_TRUE(p.infinite()); - EXPECT_NE(error_of([&] { (void)p.place(1); }).find("after +inf"), std::string::npos); - EXPECT_NE(error_of([&] { (void)p.place(0); }).find("after +inf"), std::string::npos); + EXPECT_NE(error_of([&] { (void)p.place(1); }).find("after infinite placement"), std::string::npos); + EXPECT_NE(error_of([&] { (void)p.place(0); }).find("after infinite placement"), std::string::npos); EXPECT_EQ(p.requested(), (Counter128 {0, 3})); // the rejected calls added nothing EXPECT_TRUE(p.infinite()); p.remove(); @@ -802,7 +801,8 @@ TEST(FlowLedger, NoRouteCallsRecordTheEpochState) { TEST(FlowLedger, RouteCostIsTheBundlesMinimumWalk) { // Weighted Residual on a route whose only edge another owner fills: the split graph is - // empty (record at zero delivery), route_cost is still the bundle's walk cost 3. + // empty (record at zero delivery; no positive weight: NoActiveWeight), route_cost is still the + // bundle's walk cost 3. auto g = shared(make_graph(2, {{0, 1, 2, 3}})); FlowLedger fg(g); PinnedOne holder(fg, 0, 1, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); @@ -810,7 +810,7 @@ TEST(FlowLedger, RouteCostIsTheBundlesMinimumWalk) { PinnedOne w(fg, 0, 1, all_edges(*g), FlowPlacement::Weighted, Admission::Lossless, EdgePriority::Residual); auto r = w.place(1); EXPECT_EQ(r.placed, 0); - EXPECT_EQ(r.termination, Termination::Exhausted); + EXPECT_EQ(r.termination, Termination::NoActiveWeight); EXPECT_TRUE(r.routes_changed); ASSERT_NE(w.plan(), nullptr); EXPECT_TRUE(w.plan()->members.empty()); diff --git a/tests/cpp/flow_policy_fault_tests.cpp b/tests/cpp/flow_policy_fault_tests.cpp index 0171017..4e0f39f 100644 --- a/tests/cpp/flow_policy_fault_tests.cpp +++ b/tests/cpp/flow_policy_fault_tests.cpp @@ -1,5 +1,5 @@ // Allocation-failure atomicity of the policy engine, the DagCache and the evaluators. -// Exhaustive sweeps (each allocation fails once) cover the placement calls of the 13 routing and +// Exhaustive sweeps (each allocation fails once) cover the placement calls of the 16 routing and // kernel modes below, with and without a static Eligibility; the zero and empty-roster calls; the // policy construction, with and without a supplied building cache and an Eligibility; the // DagCache construction and insertion; capacity() and batch_capacity() on one worker in every @@ -82,8 +82,12 @@ std::vector modes(const Graph& g) { out.push_back({"costonly eb", cost_only_config(), S, D}); out.push_back({"costonly weighted residual", {CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, res}, S, D}); out.push_back({"costonly lossy", {CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy, det}, S, D}); + // Several sources: the deterministic single path (the pooled single-path rule rejects + // PreferHigherPriority with multipath false). out.push_back({"costonly single path collapse", - {CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, tunnel}, S, D}); + {CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, + PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Residual, false, false)}, + S, D}); CapacityAware grow; grow.flow_count = 1; grow.max_flow_count = 4; @@ -99,6 +103,13 @@ std::vector modes(const Graph& g) { dim.min_flow_bandwidth = 1; out.push_back({"capacityaware weighted diminishing", {dim, FlowPlacement::Weighted, Admission::Lossless, res}, S, D}); out.push_back({"global", global_config(), S, D}); + // The equal origin of the controllers: the bisection's probe solves and the final solve. + out.push_back({"global equal", {.routing = Global {}, .origin = Origin::Equal}, S, D}); + out.push_back({"costonly maxflow equal", + {CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossless, det, Origin::Equal}, S, D}); + // Pooled Weighted Lossy: source 1's zero-capacity member has weight 0 (pruned), the shares + // attributed across the shared routers. + out.push_back({"costonly weighted lossy", {CostOnly {}, FlowPlacement::Weighted, Admission::Lossy, det}, S, D}); Pinned two; const auto inv = id_of_input(g); two.bundles = {dag_of(g, {inv[0], inv[4], inv[5]}), dag_of(g, {inv[1], inv[6]}), dag_of(g, {inv[12]})}; @@ -168,14 +179,12 @@ TEST(PolicyFaults, ZeroCapacityLinksTakePartInTheSweeps) { (void)p.place(5); const auto& pe = detail::PolicyAccess::engine(p); if (m.name == "costonly eb") { - bool member = false; - for (const auto& cohort : pe.cohorts) { - for (const auto& f : cohort) { - member = member || std::find(f.plan->members.begin(), f.plan->members.end(), inv[11]) != f.plan->members.end(); - } - } - EXPECT_TRUE(member); - const auto s = sensitivity(*g, m.sources, m.destinations, SensitivityOptions {m.cfg}, 1); + // The pooled program of both sources holds the zero link as a member. + ASSERT_TRUE(pe.program != nullptr); + EXPECT_EQ(vec(pe.program->roots), (std::vector {0, 1})); + EXPECT_TRUE(std::find(pe.program->members.begin(), pe.program->members.end(), inv[11]) != + pe.program->members.end()); + const auto s = sensitivity(*g, m.sources, m.destinations, QueryOptions {m.cfg}, 1); EXPECT_TRUE(std::any_of(s.entries.begin(), s.entries.end(), [&](const auto& e) { return e.edge == inv[11]; })); } if (std::holds_alternative(m.cfg.routing)) { @@ -256,6 +265,7 @@ TEST(PolicyFaults, ConstructionFailsWithoutBindingAndTheCacheStaysConsistent) { for (const auto& m : modes(*g)) { for (const int v : {0, 1, 2, 3}) { const bool with_cache = (v & 1) != 0; + if (with_cache && !std::holds_alternative(m.cfg.routing)) continue; // rejected (below) const Eligibility* elig = (v & 2) != 0 ? &no_bypass : nullptr; const std::string variant = std::string(with_cache ? " cached" : "") + (elig != nullptr ? " eligibility" : ""); // The reference: a clean construction on a fresh ledger and cache, then place(2). @@ -319,13 +329,20 @@ TEST(PolicyFaults, ConstructionFailsWithoutBindingAndTheCacheStaysConsistent) { } } } - // Every CostOnly mode reads the supplied cache (an entry after a clean construction), the - // other modes none: the memo outcomes above are checked for every CostOnly mode. + // Every CostOnly mode reads the supplied cache (an entry after a clean construction), and the + // memo outcomes above are checked for every CostOnly mode; the other modes reject a cache before + // binding, without touching it. for (const auto& m : modes(*g)) { FlowLedger fg(g); DagCache cache(*g); - const FlowPolicy p(fg, m.sources, m.destinations, m.cfg, nullptr, &cache); - EXPECT_EQ(cache.stats().entries, std::holds_alternative(m.cfg.routing) ? 1 : 0) << m.name; + if (std::holds_alternative(m.cfg.routing)) { + const FlowPolicy p(fg, m.sources, m.destinations, m.cfg, nullptr, &cache); + EXPECT_EQ(cache.stats().entries, 1) << m.name; + } else { + EXPECT_THROW(FlowPolicy(fg, m.sources, m.destinations, m.cfg, nullptr, &cache), std::invalid_argument) << m.name; + EXPECT_EQ(cache.stats().entries, 0) << m.name; + EXPECT_TRUE(LedgerAccess::bound_owners(fg).empty()) << m.name; + } } } @@ -478,7 +495,7 @@ long sweep_batch(const Mode& m, const Graph& g, std::span wo {m.sources, m.destinations}, {{1}, {6}}, {{0}, {5}}}; const std::vector per_pair(o.per_pair != nullptr ? pairs.size() : 0, o.per_pair); std::optional cache; - const auto opts = [&] { return CapacityOptions {m.cfg, o.elig, cache ? &*cache : nullptr}; }; + const auto opts = [&] { return QueryOptions {m.cfg, o.elig, cache ? &*cache : nullptr}; }; if (o.cache) cache.emplace(g); const auto want = batch_capacity(g, pairs, opts(), per_pair, 1); const std::int64_t clean = cache ? cache->stats().entries : 0; @@ -514,7 +531,7 @@ long sweep_batch(const Mode& m, const Graph& g, std::span wo long sweep_sensitivity(const Mode& m, const Graph& g, std::span workers_set, long step, const Options& o = {}) { std::optional cache; - const auto opts = [&] { return SensitivityOptions {m.cfg, o.elig, cache ? &*cache : nullptr}; }; + const auto opts = [&] { return QueryOptions {m.cfg, o.elig, cache ? &*cache : nullptr}; }; if (o.cache) cache.emplace(g); const auto want = sensitivity(g, m.sources, m.destinations, opts(), 1); const std::int64_t clean = cache ? cache->stats().entries : 0; @@ -612,7 +629,7 @@ TEST(PolicyFaults, EvaluatorsLeaveNoPoisonedScratch) { const std::string name = m.name + " capacity" + o.name; std::optional cache; const auto copts = [&] { - return CapacityOptions {m.cfg, o.elig, cache ? &*cache : nullptr, OutputOptions {true, true, true}}; + return QueryOptions {m.cfg, o.elig, cache ? &*cache : nullptr, OutputOptions {true, true, true}}; }; if (o.cache) cache.emplace(*g); const auto want = capacity(*g, m.sources, m.destinations, copts()); @@ -902,7 +919,8 @@ TEST(PolicyFaults, TheCacheComparatorsReportEveryDefect) { TEST(PolicyFaults, FrozenStatisticsFollowThePublicCall) { // A frozen cache's statistics are observable state (the memo allowance of a building cache // does not cover them). Every public call that can read a supplied frozen cache is swept: the - // policy constructor and capacity in every mode; batch_capacity at 1, 2 and 4 workers, in any + // policy constructor and capacity in every CostOnly mode (the other models reject a cache before + // reading it, statistics unchanged); batch_capacity at 1, 2 and 4 workers, in any // thread and in the worker threads only, with and without a miss; CostOnly sensitivity without // a re-evaluated deletion at 1, 2 and 4 workers in any thread; and CostOnly sensitivity whose // deletions miss at 1 worker in any thread and at 2 and 4 workers in the worker threads only. @@ -916,12 +934,22 @@ TEST(PolicyFaults, FrozenStatisticsFollowThePublicCall) { cache.freeze(); const auto reads = [](const Mode& m) -> std::int64_t { return std::holds_alternative(m.cfg.routing) ? 1 : 0; }; for (const auto& m : all) { + if (!std::holds_alternative(m.cfg.routing)) { + const auto before = cache.stats(); + FlowLedger fg(g); + EXPECT_THROW(FlowPolicy(fg, m.sources, m.destinations, m.cfg, nullptr, &cache), std::invalid_argument) << m.name; + EXPECT_THROW((void)capacity(*g, m.sources, m.destinations, QueryOptions {m.cfg, nullptr, &cache}), + std::invalid_argument) + << m.name; + expect_stats(cache.stats(), before, m.name + " rejected"); + continue; + } const long built = sweep_frozen_stats(m.name + " frozen construction", cache, false, 1, reads(m), false, [&] { FlowLedger fg(g); FlowPolicy p(fg, m.sources, m.destinations, m.cfg, nullptr, &cache); }); EXPECT_GT(built, 2) << m.name; - const CapacityOptions opts {m.cfg, nullptr, &cache, OutputOptions {true, true, true}}; + const QueryOptions opts {m.cfg, nullptr, &cache, OutputOptions {true, true, true}}; const long placed = sweep_frozen_stats(m.name + " frozen capacity", cache, false, 3, reads(m), false, [&] { (void)capacity(*g, m.sources, m.destinations, opts); }); EXPECT_GT(placed, 2) << m.name; @@ -937,7 +965,7 @@ TEST(PolicyFaults, FrozenStatisticsFollowThePublicCall) { FlowPolicy p(fg, eb.sources, absent, eb.cfg, nullptr, &cache); }), 1); - const CapacityOptions shared {eb.cfg, nullptr, &cache}; + const QueryOptions shared {eb.cfg, nullptr, &cache}; const std::vector, std::vector>> pairs = { {eb.sources, eb.destinations}, {{1}, {6}}, {{0}, {5}}}; // Pair 0 hits, pair 1 misses: a lower pair's hit is not kept by the failed batch. @@ -963,14 +991,14 @@ TEST(PolicyFaults, FrozenStatisticsFollowThePublicCall) { cache, false, 3, 1, false, [&] { (void)sensitivity(*g, std::vector {5}, std::vector {6}, - SensitivityOptions {eb.cfg, nullptr, &cache}, workers); + QueryOptions {eb.cfg, nullptr, &cache}, workers); }), 2); } // CostOnly sensitivity whose deletions miss (a fresh uid per deletion): the baseline's hit is // dropped with the failed call, and the miss counts once. const auto costonly_miss = [&](std::int32_t workers) { - (void)sensitivity(*g, eb.sources, eb.destinations, SensitivityOptions {eb.cfg, nullptr, &cache}, workers); + (void)sensitivity(*g, eb.sources, eb.destinations, QueryOptions {eb.cfg, nullptr, &cache}, workers); }; EXPECT_GT(sweep_frozen_stats("frozen costonly sensitivity miss", cache, false, 1, 0, true, [&] { costonly_miss(1); }), 2); @@ -1015,9 +1043,9 @@ TEST(PolicyFaults, FrozenStatisticsFollowThePublicCall) { TEST(PolicyFaults, WorkersSharingAFrozenCacheFailCleanly) { // batch_capacity with a frozen cache shared by two and four workers, a failure anywhere or in // the worker threads only, then CostOnly sensitivity with that cache on one worker (its - // statistics with two and four workers: the test above), and Global sensitivity, which reads no - // cache, on two and four workers: the failure propagates as std::bad_alloc after the join, the - // cache keeps its entries, and a clean retry gives the reference. + // statistics with two and four workers: the test above): the failure propagates as + // std::bad_alloc after the join, the cache keeps its entries, and a clean retry gives the + // reference. Global sensitivity, which reads no cache, rejects it before any worker starts. const auto g = graph(); const auto all = modes(*g); const auto& m = all[1]; // costonly eb: reads the cache @@ -1027,8 +1055,8 @@ TEST(PolicyFaults, WorkersSharingAFrozenCacheFailCleanly) { for (const auto& [s, t] : pairs) (void)cache.lookup(*g, t, Direction::Reverse, nullptr); const auto entries = cache.stats().entries; cache.freeze(); - const auto want = batch_capacity(*g, pairs, CapacityOptions {m.cfg}, {}, 1); - const CapacityOptions shared {m.cfg, nullptr, &cache}; + const auto want = batch_capacity(*g, pairs, QueryOptions {m.cfg}, {}, 1); + const QueryOptions shared {m.cfg, nullptr, &cache}; for (const std::int32_t workers : {2, 4}) { for (const bool in_workers : {false, true}) { const long failures = sweep_evaluator( @@ -1053,7 +1081,7 @@ TEST(PolicyFaults, WorkersSharingAFrozenCacheFailCleanly) { return w.substr(0, w.find(", Eligibility uid ")); }; const auto costonly_sensitivity = [&](std::int32_t w) { - (void)sensitivity(*g, m.sources, m.destinations, SensitivityOptions {m.cfg, nullptr, &cache}, w); + (void)sensitivity(*g, m.sources, m.destinations, QueryOptions {m.cfg, nullptr, &cache}, w); }; std::string want_miss; try { @@ -1080,28 +1108,11 @@ TEST(PolicyFaults, WorkersSharingAFrozenCacheFailCleanly) { } }); EXPECT_GT(failures, 2) << "frozen sensitivity"; - // Global sensitivity (each deletion repaired from the baseline's state) with the frozen cache - // shared by every worker: it reads no cache, and fails and retries as without one. + // Global sensitivity reads no cache: with the frozen cache it is rejected before any worker + // starts, the cache unchanged. const auto git = std::find_if(all.begin(), all.end(), [](const Mode& x) { return x.name == "global"; }); ASSERT_NE(git, all.end()); - const auto& gm = *git; - const auto want_global = sensitivity(*g, gm.sources, gm.destinations, SensitivityOptions {gm.cfg}, 1); - const SensitivityOptions gopts {gm.cfg, nullptr, &cache}; - for (const std::int32_t workers : {2, 4}) { - for (const bool in_workers : {false, true}) { - const long global_failures = sweep_evaluator( - "frozen global sensitivity", workers, in_workers, 11, - [&](std::int32_t w) { (void)sensitivity(*g, gm.sources, gm.destinations, gopts, w); }, - [&](std::int32_t w) { - const auto r = sensitivity(*g, gm.sources, gm.destinations, gopts, w); - ASSERT_EQ(r.entries.size(), want_global.entries.size()); - for (std::size_t i = 0; i < r.entries.size(); ++i) { - EXPECT_EQ(r.entries[i].edge, want_global.entries[i].edge); - EXPECT_EQ(r.entries[i].loss, want_global.entries[i].loss); - } - }); - EXPECT_GT(global_failures, 2) << "frozen global sensitivity workers " << workers; - } - } + EXPECT_THROW((void)sensitivity(*g, git->sources, git->destinations, QueryOptions {git->cfg, nullptr, &cache}, 2), + std::invalid_argument); EXPECT_EQ(cache.stats().entries, entries); } diff --git a/tests/cpp/flow_policy_fixture_tests.cpp b/tests/cpp/flow_policy_fixture_tests.cpp index 3bcae22..0f797c8 100644 --- a/tests/cpp/flow_policy_fixture_tests.cpp +++ b/tests/cpp/flow_policy_fixture_tests.cpp @@ -4,8 +4,9 @@ // frozen copy, the exporter, the regeneration check and the meaning of the data's historical // "source" string: tests/reference/policy/README.md): every ledger, policy and call of every // fixture in order, with the reference's values after each operation. The replay checks -// every one of them on the engine: each call's result (placed, remaining, termination, local -// outcomes, flags, drops, the cost curve, the requested outputs), its trace (the reference's keys), +// every one of them on the engine: each call's result (this call's values, termination and flags, +// the demand's state, the rows per source, the total cost, the cost curve, the requested outputs), +// its trace (the reference's keys), // the ledger after it (allocations, residuals, every record field, next FlowId, owners) and the // policy state (roster, requested, +inf, placed demand, usable bundles, per source the flows' // ids, routes, T, deliveries, allocations, members and weights). An operation the reference @@ -403,15 +404,6 @@ Int128 wide(const Counter128& c) { return test::int128_of(static_cast(c.hi), c.lo); } -const char* placement_name(FlowPlacement p) { - switch (p) { - case FlowPlacement::MaxFlow: return "MaxFlow"; - case FlowPlacement::Weighted: return "Weighted"; - case FlowPlacement::EqualBalanced: return "EqualBalanced"; - } - return "?"; -} - const char* outcome_name(Termination t) { switch (t) { case Termination::Complete: return "complete"; @@ -419,26 +411,52 @@ const char* outcome_name(Termination t) { case Termination::LimitDiminishing: return "limit_diminishing"; case Termination::NoRoute: return "no_route"; case Termination::Exhausted: return "exhausted"; + case Termination::NoActiveWeight: return "no_active_weight"; } return "?"; } +J counter_pairs(const std::vector>& v) { + J j = J::arr(); + for (const auto& [e, c] : v) { + J p = J::arr(); + p.push(J::integer(e)); + p.push(J::integer(wide(c))); + j.push(std::move(p)); + } + return j; +} + J result_json(const PlacementResult& r) { J j = J::obj(); j.set("placed", J::integer(r.placed)); j.set("remaining", r.remaining.has_value() ? J::integer(*r.remaining) : J::str("inf")); + j.set("delivery_delta", J::integer(r.delivery_delta)); + j.set("call_drops", pairs(r.call_drops)); + j.set("call_source_loss", J::integer(r.call_source_loss)); j.set("termination", J::str(outcome_name(r.termination))); j.set("routes_changed", J::boolean(r.routes_changed)); j.set("weights_changed", J::boolean(r.weights_changed)); - j.set("drops", pairs(r.drops)); - J lo = J::arr(); - for (const auto& [s, o] : r.local_outcomes) { - J p = J::arr(); - p.push(J::integer(s)); - p.push(J::str(outcome_name(o))); - lo.push(std::move(p)); + j.set("requested", r.requested.has_value() ? J::integer(wide(*r.requested)) : J::str("inf")); + j.set("admitted", J::integer(wide(r.admitted))); + j.set("delivered", J::integer(r.delivered)); + j.set("source_loss", J::integer(wide(r.source_loss))); + j.set("drops", counter_pairs(r.drops)); + J rows = J::arr(); + for (const auto& x : r.by_source) { + J row = J::arr(); + row.push(J::integer(x.source)); + row.push(x.offered.has_value() ? J::integer(wide(*x.offered)) : J::null()); + row.push(J::integer(wide(x.admitted))); + row.push(J::integer(x.delivered)); + row.push(J::integer(wide(x.source_loss))); + row.push(J::integer(wide(x.dropped))); + rows.push(std::move(row)); } - j.set("local_outcomes", std::move(lo)); + j.set("by_source", std::move(rows)); + if (r.offered.has_value()) j.set("offered", J::integer(wide(*r.offered))); + if (r.unadmitted.has_value()) j.set("unadmitted", J::integer(wide(*r.unadmitted))); + if (r.total_cost.has_value()) j.set("total_cost", J::integer(wide(*r.total_cost))); if (r.cost_distribution.has_value()) j.set("cost_distribution", pairs(*r.cost_distribution)); if (r.edge_flows.has_value()) j.set("edge_flows", ints(*r.edge_flows)); if (r.residual.has_value()) j.set("residual", ints(*r.residual)); @@ -458,7 +476,6 @@ J ledger_json(const FlowLedger& fg) { x.set("owner", J::integer(r.owner)); x.set("sources", ints(r.sources)); x.set("destinations", ints(r.destinations)); - x.set("placement", J::str(placement_name(r.placement))); x.set("admission", J::str(r.admission == Admission::Lossy ? "Lossy" : "Lossless")); x.set("bundle", ints(detail::PredDAGBuilder::ascending(*r.bundle))); x.set("route_cost", r.route_cost == kUnreachable ? J::null() : J::integer(r.route_cost)); @@ -636,22 +653,26 @@ FlowPolicyConfig config_of(const Graph& g, const J& c) { } else if (kind != "CostOnly") { throw UnknownName("the data names an unknown routing (" + kind + ")"); } - const FlowPlacement fp = named("placement", c.at("placement").s, - {{"MaxFlow", FlowPlacement::MaxFlow}, - {"Weighted", FlowPlacement::Weighted}, - {"EqualBalanced", FlowPlacement::EqualBalanced}}); - const Admission adm = named("admission", c.at("admission").s, - {{"Lossless", Admission::Lossless}, {"Lossy", Admission::Lossy}}); - const J& sel = c.at("selection"); - const EdgeTieBreak tie = named( - "tie break", sel.at("tie_break").s, - {{"Deterministic", EdgeTieBreak::Deterministic}, {"PreferHigherPriority", EdgeTieBreak::PreferHigherPriority}}); - const EdgePriority prio = named("priority", sel.at("priority").s, - {{"Residual", EdgePriority::Residual}, - {"Capacity", EdgePriority::Capacity}, - {"Headroom", EdgePriority::Headroom}}); - return FlowPolicyConfig {std::move(routing), fp, adm, - PathSelection(tie, prio, sel.at("multipath").b, sel.at("multi_edge").b)}; + FlowPolicyConfig out {.routing = std::move(routing)}; + if (!c.at("placement").is_null()) { + out.placement = named("placement", c.at("placement").s, + {{"MaxFlow", FlowPlacement::MaxFlow}, + {"Weighted", FlowPlacement::Weighted}, + {"EqualBalanced", FlowPlacement::EqualBalanced}}); + } + out.admission = named("admission", c.at("admission").s, + {{"Lossless", Admission::Lossless}, {"Lossy", Admission::Lossy}}); + if (const J& sel = c.at("selection"); !sel.is_null()) { + const EdgeTieBreak tie = named( + "tie break", sel.at("tie_break").s, + {{"Deterministic", EdgeTieBreak::Deterministic}, {"PreferHigherPriority", EdgeTieBreak::PreferHigherPriority}}); + const EdgePriority prio = named("priority", sel.at("priority").s, + {{"Residual", EdgePriority::Residual}, + {"Capacity", EdgePriority::Capacity}, + {"Headroom", EdgePriority::Headroom}}); + out.selection = PathSelection(tie, prio, sel.at("multipath").b, sel.at("multi_edge").b); + } + return out; } #if NETGRAPH_CORE_PRIVATE_HOOKS @@ -711,7 +732,6 @@ std::vector replay(const J& fx, std::size_t* compared = nullptr, std::deque eligs; std::vector> policies; std::vector policy_ledger; - std::vector curves; // per policy: the cumulative Global curve of the epoch (zero-call check below) auto check = [&](const std::string& where, const char* what, const J& expected, const J& actual) { if (compared != nullptr) ++*compared; std::string why; @@ -810,7 +830,6 @@ std::vector replay(const J& fx, std::size_t* compared = nullptr, } policies.push_back(std::move(pol)); policy_ledger.push_back(&fg); - curves.push_back(J::arr()); check(where, "policy", expect->at("policy"), policy_json(*policies.back())); continue; } @@ -829,7 +848,6 @@ std::vector replay(const J& fx, std::size_t* compared = nullptr, FlowPolicy& pol = *policies[pi]; if (kind == "remove") { pol.remove(); - curves[pi] = J::arr(); check(where, "ledger", expect->at("ledger"), ledger_json(fg)); check(where, "policy", expect->at("policy"), policy_json(pol)); continue; @@ -852,7 +870,7 @@ std::vector replay(const J& fx, std::size_t* compared = nullptr, OutputOptions outputs; if (!op.at("outputs").is_null()) { const auto& o = op.at("outputs").a; - outputs = OutputOptions {o[0].b, o[1].b, o[2].b}; + outputs = OutputOptions {o[0].b, o[1].b, o[2].b, o[3].b}; } #if NETGRAPH_CORE_PRIVATE_HOOKS detail::max_flows_per_call().store(op.at("cap").int64()); @@ -888,23 +906,7 @@ std::vector replay(const J& fx, std::size_t* compared = nullptr, } continue; } - J actual = result_json(r); - const J& expected_result = expect->at("result"); - if (std::holds_alternative(pol.config().routing)) { - // Where the engine reports more than the reference: a Global zero call reports the - // policy's cumulative curve, which the reference omits; it must equal the curve of the - // epoch's last positive call ([] before any), and only then is it set aside. - const J* got = actual.get("cost_distribution"); - if (volume.has_value() && *volume == 0 && expected_result.get("cost_distribution") == nullptr && got != nullptr) { - std::string why; - if (!same(curves[pi], *got, "cost_distribution", why)) { - fails.push_back(name + " " + where + ": the zero call's curve is not the cumulative one: " + why); - } - std::erase_if(actual.o, [](const auto& kv) { return kv.first == "cost_distribution"; }); - } - if (const J* c = expected_result.get("cost_distribution"); c != nullptr) curves[pi] = *c; - } - check(where, "result", expected_result, actual); + check(where, "result", expect->at("result"), result_json(r)); if (detail::kTraced) check(where, "trace", expect->at("trace"), trace_json(trace)); check(where, "ledger", expect->at("ledger"), ledger_json(fg)); check(where, "policy", expect->at("policy"), policy_json(pol)); @@ -1063,21 +1065,16 @@ void expect_every_other_clause_reported() { volume.k = J::K::Dbl; volume.d = 0.5; EXPECT_TRUE(reported(fractional, "global_epochs op 3 (place): a non-integer request accepted")); - // Op 2 of global_epochs is a Global zero call on a fresh policy, op 3 a positive call with the - // curve [[1, 1]]. With op 3 moved before op 2, the zero call reports [[1, 1]], the remembered - // curve (the zero call's other sections, recorded before the positive call, differ); with op - // 3's curve changed as well, the two curves differ too. - const std::string zero_call = "global_epochs op 3 (place): the zero call's curve is not the cumulative one"; + // Op 2 of global_epochs is a Global zero call on a fresh policy (no curve: nothing prepared), + // op 3 a positive call with the curve [[1, 1]]. With op 3 moved before op 2, the zero call + // reports the remembered curve [[1, 1]] where the data, recorded before any placement, has + // none: a result difference. ASSERT_EQ(dump(epochs.at("ops").a[2].at("volume")), "0"); + ASSERT_EQ(epochs.at("ops").a[2].at("expect").at("result").get("cost_distribution"), nullptr); J swapped = epochs; auto& ops = member(swapped, "ops").a; std::swap(ops[2], ops[3]); - ASSERT_FALSE(reported(swapped, zero_call)); - J* cost = first_leaf(member(member(member(ops[2], "expect"), "result"), "cost_distribution")); - ASSERT_NE(cost, nullptr); - corrupt(*cost); - EXPECT_TRUE(reported(swapped, "global_epochs op 2 (place): result")); - EXPECT_TRUE(reported(swapped, zero_call)); + EXPECT_TRUE(reported(swapped, "global_epochs op 3 (place): result")); // Every call the data rejects, with the policy changed after it (its +inf flag flipped; after // that call only): the comparison with the policy before the call reports it. std::size_t rejected_calls = 0; @@ -1124,13 +1121,15 @@ void expect_every_other_clause_reported() { } EXPECT_EQ(planted, (std::set {"copy failed", "ledger ok", "place failed", "policy failed", "reset failed"})); - // A name the replay does not know, in the configuration of global_epochs' policy (op 1) and, - // for the cost ceiling, of creation_fewer_routes' CapacityAware policy (op 1): a failure of the - // replay, never taken for the engine rejecting the policy. - ASSERT_EQ(epochs.at("ops").a[1].at("op").s, "policy"); + // A name the replay does not know, in the configuration of eb_unequal_1_10's CostOnly policy + // (op 1) and, for the cost ceiling, of creation_fewer_routes' CapacityAware policy (op 1): a + // failure of the replay, never taken for the engine rejecting the policy. + const auto& unequal = *std::find_if(fixtures.begin(), fixtures.end(), + [](const J& fx) { return fx.at("name").s == "eb_unequal_1_10"; }); + ASSERT_EQ(unequal.at("ops").a[1].at("op").s, "policy"); for (const std::string path : {"routing kind", "placement", "admission", "selection tie_break", "selection priority"}) { - J copy = epochs; + J copy = unequal; J* config = &member(member(copy, "ops").a[1], "config"); std::string key = path; if (const auto space = path.find(' '); space != std::string::npos) { @@ -1138,7 +1137,7 @@ void expect_every_other_clause_reported() { key = path.substr(space + 1); } member(*config, key) = J::str("Unknown"); - EXPECT_TRUE(reported(copy, "global_epochs op 1 (policy): the data names an unknown ")) << path; + EXPECT_TRUE(reported(copy, "eb_unequal_1_10 op 1 (policy): the data names an unknown ")) << path; } const auto& fewer = *std::find_if(fixtures.begin(), fixtures.end(), [](const J& fx) { return fx.at("name").s == "creation_fewer_routes"; }); @@ -1261,7 +1260,7 @@ TEST(PolicyFixtures, ACorruptedExpectationFails) { } RecordProperty("corruptions", static_cast(corrupted)); EXPECT_EQ(fixtures, detail::kTraced ? 59U : 58U); - EXPECT_EQ(corrupted, detail::kTraced ? 1132U : 858U); + EXPECT_EQ(corrupted, detail::kTraced ? 1050U : 810U); EXPECT_GT(kinds[0], 200U); EXPECT_GT(kinds[1], 50U); EXPECT_GT(kinds[2], 50U); diff --git a/tests/cpp/flow_policy_tests.cpp b/tests/cpp/flow_policy_tests.cpp index 3037845..b40c352 100644 --- a/tests/cpp/flow_policy_tests.cpp +++ b/tests/cpp/flow_policy_tests.cpp @@ -35,6 +35,8 @@ #include "netgraph/core/detail/ledger_access.hpp" #include "netgraph/core/detail/policy_engine.hpp" #include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/detail/private_hooks.hpp" +#include "netgraph/core/detail/trace.hpp" #include "netgraph/core/detail/traversal.hpp" #include "netgraph/core/evaluators.hpp" #include "netgraph/core/flow_ledger.hpp" @@ -53,7 +55,9 @@ PathSelection sel(EdgeTieBreak t = EdgeTieBreak::Deterministic, EdgePriority p = return PathSelection(t, p, multipath, multi_edge); } +// A configuration; Global takes neither a placement nor a selection, so `k` and `s` are left out. FlowPolicyConfig cfg(Routing r, FlowPlacement k, Admission a = Admission::Lossless, PathSelection s = sel()) { + if (std::holds_alternative(r)) return FlowPolicyConfig {.routing = std::move(r), .admission = a}; return FlowPolicyConfig {std::move(r), k, a, s}; } @@ -74,16 +78,14 @@ TEST(FlowPolicyConfig, EveryRejectedCombinationBeforeBinding) { EXPECT_EQ(error_of([&] { FlowPolicy p(fg, s, d, c); }), message); EXPECT_TRUE(detail::LedgerAccess::bound_owners(fg).empty()); }; - const std::string lossy_hop_by_hop = - "Lossy admission is rejected with Global and CapacityAware routing (hop-by-hop forwarding without admission " - "control neither grows nor reroutes)"; - rejects(cfg(CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossy), - "Lossy admission is rejected with the MaxFlow kernel: a controller never drops (EqualBalanced or Weighted only)"); + rejects(cfg(CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossy), "MAX_FLOW requires admission=LOSSLESS"); rejects(cfg(CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, sel(EdgeTieBreak::Deterministic, EdgePriority::Headroom)), "the Weighted kernel is rejected with priority Headroom (weights are units)"); - rejects(cfg(Global {}, FlowPlacement::EqualBalanced), "Global routing requires placement = MaxFlow"); - rejects(cfg(Global {}, FlowPlacement::EqualBalanced, Admission::Lossy), lossy_hop_by_hop); - rejects(cfg(CapacityAware {}, FlowPlacement::EqualBalanced, Admission::Lossy), lossy_hop_by_hop); + rejects({.routing = Global {}, .placement = FlowPlacement::MaxFlow}, "Global does not accept placement"); + rejects({.routing = Global {}, .selection = PathSelection()}, "Global does not accept selection"); + rejects({.routing = Global {}, .admission = Admission::Lossy}, "MAX_FLOW requires admission=LOSSLESS"); + rejects(cfg(CapacityAware {}, FlowPlacement::EqualBalanced, Admission::Lossy), + "CapacityAware requires admission=LOSSLESS"); CapacityAware ca; ca.flow_count = 0; rejects(cfg(ca, FlowPlacement::MaxFlow), "CapacityAware flow_count must be >= 1 (got 0)"); @@ -157,6 +159,13 @@ TEST(FlowPolicyConfig, EveryRejectedCombinationBeforeBinding) { const auto el = other->eligibility({}, std::vector {0}); EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({3}), cfg(CostOnly {}, FlowPlacement::MaxFlow), &el); }), "foreign Eligibility: built for another graph"); + // The endpoints come before the ownership of the mask and the cache (contract r8 14.3). + DagCache foreign_first(*other); + EXPECT_EQ(error_of([&] { + FlowPolicy p(fg, std::vector {}, v({3}), cfg(CostOnly {}, FlowPlacement::MaxFlow), &el, + &foreign_first); + }), + "sources: the node set is empty"); DagCache foreign_cache(*other); EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({3}), cfg(CostOnly {}, FlowPlacement::MaxFlow), nullptr, &foreign_cache); @@ -165,11 +174,11 @@ TEST(FlowPolicyConfig, EveryRejectedCombinationBeforeBinding) { EXPECT_TRUE(detail::LedgerAccess::bound_owners(fg).empty()); } -// Enumeration checks at construction: PathSelection and FlowPolicyConfig reject a value outside its -// enumeration (here 97 to 99, reachable by a cast) with std::invalid_argument naming the field, in -// validate_config's order; a selection assigned out of its domain after its own construction is -// rejected by the configuration. Combinations are the consumers' (EveryRejectedCombinationBefore- -// Binding above and SeveralDefectsReportTheFirstInTheContractOrder below). +// Enumeration checks at construction: PathSelection rejects a value outside its enumeration (here +// 98 and 99, reachable by a cast) with std::invalid_argument naming the field. FlowPolicyConfig is +// a plain value: it holds any field, and its consumers check it (EveryRejectedCombinationBefore- +// Binding above, EnumValuesOutsideTheirEnumerationAreRejected and +// SeveralDefectsReportTheFirstInTheContractOrder below). TEST(FlowPolicyConfig, ConstructorsRejectEnumValuesOutsideTheirEnumeration) { EXPECT_EQ(error_of([] { (void)PathSelection(static_cast(99), EdgePriority::Capacity); }), "tie_break: 99 is not a value of EdgeTieBreak"); @@ -177,45 +186,13 @@ TEST(FlowPolicyConfig, ConstructorsRejectEnumValuesOutsideTheirEnumeration) { "priority: 99 is not a value of EdgePriority"); EXPECT_EQ(error_of([] { (void)PathSelection(static_cast(98), static_cast(99)); }), "tie_break: 98 is not a value of EdgeTieBreak"); - const auto s = sel(); - EXPECT_EQ(error_of([&] { - (void)FlowPolicyConfig {CostOnly {}, static_cast(99), Admission::Lossless, s}; - }), - "placement: 99 is not a value of FlowPlacement"); - EXPECT_EQ(error_of([&] { - (void)FlowPolicyConfig {CostOnly {}, FlowPlacement::MaxFlow, static_cast(99), s}; - }), - "admission: 99 is not a value of Admission"); - auto tie = s; - tie.tie_break = static_cast(99); - auto priority = s; - priority.priority = static_cast(99); - EXPECT_EQ(error_of([&] { (void)FlowPolicyConfig {CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossless, tie}; }), - "selection.tie_break: 99 is not a value of EdgeTieBreak"); - EXPECT_EQ(error_of([&] { - (void)FlowPolicyConfig {CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossless, priority}; - }), - "selection.priority: 99 is not a value of EdgePriority"); - EXPECT_EQ(error_of([&] { - (void)FlowPolicyConfig {Global {}, static_cast(97), static_cast(98), tie}; - }), - "placement: 97 is not a value of FlowPlacement"); - EXPECT_EQ(error_of([&] { - (void)FlowPolicyConfig {Global {}, FlowPlacement::MaxFlow, static_cast(98), tie}; - }), - "admission: 98 is not a value of Admission"); - // Every value inside its enumeration constructs, whatever the combination (Global with - // Weighted and Lossy constructs; the policy rejects it). for (auto t : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { for (auto p : {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}) { EXPECT_NO_THROW((void)PathSelection(t, p, false, false)); - for (auto k : {FlowPlacement::MaxFlow, FlowPlacement::Weighted, FlowPlacement::EqualBalanced}) { - for (auto a : {Admission::Lossless, Admission::Lossy}) { - EXPECT_NO_THROW((void)(FlowPolicyConfig {Global {}, k, a, PathSelection(t, p)})); - } - } } } + EXPECT_NO_THROW((void)(FlowPolicyConfig {Global {}, static_cast(97), static_cast(98), + PathSelection(), static_cast(96)})); } // Enumeration checks at every consuming entry: the fields stay assignable after construction, so a value @@ -262,9 +239,9 @@ TEST(FlowPolicyConfig, EnumValuesOutsideTheirEnumerationAreRejected) { EXPECT_TRUE(contains(error_of([&] { FlowPolicy p(fg, v({0}), v({3}), c); }), b.field)) << b.field; EXPECT_TRUE(detail::LedgerAccess::bound_owners(fg).empty()); EXPECT_TRUE(fg.records().empty()); - CapacityOptions co {c}; + QueryOptions co {c}; EXPECT_TRUE(contains(error_of([&] { (void)capacity(*g, v({0}), v({3}), co); }), b.field)) << b.field; - EXPECT_TRUE(contains(error_of([&] { (void)sensitivity(*g, v({0}), v({3}), SensitivityOptions {c}, 1); }), b.field)) + EXPECT_TRUE(contains(error_of([&] { (void)sensitivity(*g, v({0}), v({3}), QueryOptions {c}, 1); }), b.field)) << b.field; if (!std::holds_alternative(mode)) { const std::vector, std::vector>> pairs = {{v({0}), v({3})}}; @@ -295,13 +272,12 @@ TEST(FlowPolicyConfig, EnumValuesOutsideTheirEnumerationAreRejected) { EXPECT_EQ(st.hits + st.misses + st.entries, 0); } -// validate_config with several defects at once: one error, the first in the order -// placement, admission, the selection's tie_break and priority (the fields assigned out of their -// enumerations after construction), then the kernel combinations (Lossy with MaxFlow, Weighted -// with Headroom), then the routing rules (Lossy with Global or CapacityAware, Global without -// MaxFlow, CapacityAware's counts, Pinned's bundles). Exact texts: the selection's priority is -// named "selection.priority", never the kernel check's "priority". The same first error at -// construction and at the evaluators; nothing is bound. +// The configuration with several defects at once: one error, the first in FlowPolicyConfig's +// order: the enumeration values (placement, admission, origin, the selection's tie_break and +// priority, assigned out of their enumerations), then the model's row of the matrix, its columns +// left to right (placement, origin, admission, selection), then the DagCache, then CapacityAware's +// parameters. Exact texts; the same first error at construction and at the evaluators; nothing is +// bound. TEST(FlowPolicyConfig, SeveralDefectsReportTheFirstInTheContractOrder) { auto g = diamond(5, 5); FlowLedger fg(g); @@ -309,60 +285,113 @@ TEST(FlowPolicyConfig, SeveralDefectsReportTheFirstInTheContractOrder) { const auto bad_admission = static_cast(98); const auto bad_tie = static_cast(97); const auto bad_priority = static_cast(96); + const auto bad_origin = static_cast(95); CapacityAware zero; zero.flow_count = 0; struct Case { FlowPolicyConfig c; std::string error; }; - const auto with = [](FlowPolicyConfig c, std::optional k, std::optional a, - std::optional t, std::optional p) { - if (k) c.placement = *k; - if (a) c.admission = *a; - auto& selection = c.selection; - if (t) selection.tie_break = *t; - if (p) selection.priority = *p; - return c; + const auto bad_sel = [&](std::optional t, EdgePriority p) { + PathSelection s = sel(); + if (t) s.tie_break = *t; + s.priority = p; + return s; }; - const std::string lossy_routing = - "Lossy admission is rejected with Global and CapacityAware routing (hop-by-hop forwarding without admission " - "control neither grows nor reroutes)"; const std::vector cases = { - {with(cfg(Global {}, FlowPlacement::MaxFlow, Admission::Lossy), bad_placement, bad_admission, bad_tie, bad_priority), + {{Global {}, bad_placement, bad_admission, bad_sel(bad_tie, bad_priority), bad_origin}, "placement: 99 is not a value of FlowPlacement"}, - {with(cfg(Global {}, FlowPlacement::Weighted), std::nullopt, bad_admission, bad_tie, bad_priority), + {{Global {}, FlowPlacement::Weighted, bad_admission, bad_sel(bad_tie, bad_priority), bad_origin}, "admission: 98 is not a value of Admission"}, - {with(cfg(zero, FlowPlacement::MaxFlow, Admission::Lossy), std::nullopt, std::nullopt, bad_tie, bad_priority), + {{Global {}, FlowPlacement::Weighted, Admission::Lossy, bad_sel(bad_tie, bad_priority), bad_origin}, + "origin: 95 is not a value of Origin"}, + {{zero, FlowPlacement::MaxFlow, Admission::Lossy, bad_sel(bad_tie, bad_priority), Origin::Optimized}, "selection.tie_break: 97 is not a value of EdgeTieBreak"}, - {with(cfg(zero, FlowPlacement::MaxFlow, Admission::Lossy), std::nullopt, std::nullopt, std::nullopt, bad_priority), - "selection.priority: 96 is not a value of EdgePriority"}, - {with(cfg(Global {}, FlowPlacement::Weighted), std::nullopt, std::nullopt, std::nullopt, bad_priority), + {{zero, FlowPlacement::MaxFlow, Admission::Lossy, bad_sel(std::nullopt, bad_priority), Origin::Optimized}, "selection.priority: 96 is not a value of EdgePriority"}, - {cfg(Global {}, FlowPlacement::MaxFlow, Admission::Lossy), kLossyKernelError}, - {cfg(zero, FlowPlacement::MaxFlow, Admission::Lossy), kLossyKernelError}, - {cfg(Global {}, FlowPlacement::Weighted, Admission::Lossless, sel(EdgeTieBreak::Deterministic, EdgePriority::Headroom)), + // The rows, column by column. + {{Global {}, FlowPlacement::MaxFlow, Admission::Lossy, sel(), Origin::Equal}, "Global does not accept placement"}, + {{Global {}, std::nullopt, Admission::Lossy, sel(), Origin::Equal}, "MAX_FLOW requires admission=LOSSLESS"}, + {{Global {}, std::nullopt, Admission::Lossless, sel(), Origin::Equal}, "Global does not accept selection"}, + {{CostOnly {}, std::nullopt, Admission::Lossy, sel(), Origin::Optimized}, "CostOnly requires placement"}, + {{CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy, sel(), Origin::Optimized}, + "CostOnly with EQUAL_BALANCED or WEIGHTED requires origin=EQUAL"}, + {{CostOnly {}, FlowPlacement::Weighted, Admission::Lossy, sel(), Origin::Optimized}, + "CostOnly with EQUAL_BALANCED or WEIGHTED requires origin=EQUAL"}, + {{CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossy, sel(), Origin::Equal}, kLossyKernelError}, + {{CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, sel(EdgeTieBreak::Deterministic, EdgePriority::Headroom)}, kHeadroomKernelError}, - {cfg(zero, FlowPlacement::Weighted, Admission::Lossy, sel(EdgeTieBreak::Deterministic, EdgePriority::Headroom)), + {{zero, std::nullopt, Admission::Lossy, sel(), Origin::Optimized}, "CapacityAware requires placement"}, + {{zero, FlowPlacement::MaxFlow, Admission::Lossy, sel(), Origin::Optimized}, "T1 requires origin=EQUAL"}, + {{zero, FlowPlacement::MaxFlow, Admission::Lossy, sel(), Origin::Equal}, kLossyKernelError}, + {{zero, FlowPlacement::EqualBalanced, Admission::Lossy}, "CapacityAware requires admission=LOSSLESS"}, + {{zero, FlowPlacement::Weighted, Admission::Lossless, sel(EdgeTieBreak::Deterministic, EdgePriority::Headroom)}, kHeadroomKernelError}, - {cfg(Pinned {}, FlowPlacement::MaxFlow, Admission::Lossy), kLossyKernelError}, - {cfg(zero, FlowPlacement::EqualBalanced, Admission::Lossy), lossy_routing}, - {cfg(Global {}, FlowPlacement::Weighted, Admission::Lossy), lossy_routing}, + {{zero, FlowPlacement::EqualBalanced}, "CapacityAware flow_count must be >= 1 (got 0)"}, + {{Pinned {}, std::nullopt, Admission::Lossy, std::nullopt, Origin::Equal}, "Pinned requires placement"}, + {{Pinned {}, FlowPlacement::MaxFlow, Admission::Lossy, std::nullopt, Origin::Equal}, "Pinned does not accept origin"}, + {{Pinned {}, FlowPlacement::MaxFlow, Admission::Lossy}, kLossyKernelError}, }; for (const auto& k : cases) { EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({3}), k.c); }), k.error); EXPECT_TRUE(detail::LedgerAccess::bound_owners(fg).empty()); EXPECT_TRUE(fg.records().empty()); - CapacityOptions co {k.c}; + QueryOptions co {k.c}; EXPECT_EQ(error_of([&] { (void)capacity(*g, v({0}), v({3}), co); }), k.error); - EXPECT_EQ(error_of([&] { (void)sensitivity(*g, v({0}), v({3}), SensitivityOptions {k.c}, 1); }), k.error); + EXPECT_EQ(error_of([&] { (void)sensitivity(*g, v({0}), v({3}), QueryOptions {k.c}, 1); }), k.error); if (std::holds_alternative(k.c.routing)) continue; // batch_capacity rejects Pinned first const std::vector, std::vector>> pairs = {{v({0}), v({3})}}; EXPECT_EQ(error_of([&] { (void)batch_capacity(*g, pairs, co, {}, 1); }), k.error); } + // A DagCache is read by CostOnly alone: the other models reject one, after their row. + DagCache cache(*g); + const std::vector cached = { + {global_config(), "Global does not use DagCache"}, + {{Global {}, FlowPlacement::MaxFlow}, "Global does not accept placement"}, + {{CapacityAware {}, FlowPlacement::EqualBalanced}, "T1 does not use DagCache"}, + {{Pinned {}, FlowPlacement::EqualBalanced}, "Pinned does not use DagCache"}, + }; + for (const auto& k : cached) { + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({3}), k.c, nullptr, &cache); }), k.error); + EXPECT_EQ(error_of([&] { (void)capacity(*g, v({0}), v({3}), QueryOptions {k.c, nullptr, &cache}); }), k.error); + } + EXPECT_TRUE(detail::LedgerAccess::bound_owners(fg).empty()); } -// The four axes are required: a configuration has no default. -static_assert(!std::is_default_constructible_v); +// Every field has a default but the routing's own: an empty configuration is CostOnly without a +// placement, rejected when used; the policy's snapshot resolves the origin and the selection. +TEST(FlowPolicyConfig, DefaultsResolveAtThePolicy) { + auto g = diamond(5, 5); + FlowLedger fg(g); + const FlowPolicyConfig empty; + EXPECT_TRUE(std::holds_alternative(empty.routing)); + EXPECT_FALSE(empty.placement.has_value()); + EXPECT_EQ(empty.admission, Admission::Lossless); + EXPECT_FALSE(empty.selection.has_value()); + EXPECT_FALSE(empty.origin.has_value()); + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({3}), empty); }), "CostOnly requires placement"); + const auto snapshot = [&](FlowPolicyConfig c) { + FlowLedger own(g); + FlowPolicy p(own, v({0}), v({3}), std::move(c)); + return p.config(); + }; + const auto eb = snapshot({.routing = CostOnly {}, .placement = FlowPlacement::EqualBalanced}); + EXPECT_EQ(eb.origin, Origin::Equal); + EXPECT_TRUE(eb.selection == PathSelection()); + EXPECT_EQ(snapshot({.routing = CostOnly {}, .placement = FlowPlacement::Weighted}).origin, Origin::Equal); + EXPECT_EQ(snapshot({.routing = CostOnly {}, .placement = FlowPlacement::MaxFlow}).origin, Origin::Optimized); + EXPECT_EQ(snapshot({.routing = CostOnly {}, .placement = FlowPlacement::MaxFlow, .origin = Origin::Equal}).origin, + Origin::Equal); + const auto global = snapshot({.routing = Global {}}); + EXPECT_EQ(global.origin, Origin::Optimized); + EXPECT_FALSE(global.selection.has_value()); + EXPECT_FALSE(global.placement.has_value()); + EXPECT_EQ(snapshot({.routing = Global {}, .origin = Origin::Equal}).origin, Origin::Equal); + EXPECT_EQ(snapshot({.routing = CapacityAware {}, .placement = FlowPlacement::EqualBalanced}).origin, Origin::Equal); + Pinned pin; + pin.bundles = {dag_of(*g, {0, 2})}; + EXPECT_FALSE(snapshot({.routing = pin, .placement = FlowPlacement::EqualBalanced}).origin.has_value()); +} // config() is the copy taken at construction: every field as given, and a later change of the // caller's object changes nothing. @@ -508,23 +537,22 @@ TEST(FlowPolicyRequests, RejectedRequestsLeaveThePolicyAndTheLedger) { {"Global", global_config()}, {"Pinned", cfg(pinned, FlowPlacement::MaxFlow)}, {"CostOnly Lossy", cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy)}}; - const std::string range_error = " is outside [0, 2^62) units (requests are integer units or +inf)"; - const std::string after_inf = - "a finite request after +inf is rejected within an epoch (the cumulative finite request is undefined)"; + const std::string range_error = "offer must be an integer in [0, 2^62) or permitted +inf"; + const std::string after_inf = "finite placement after infinite placement requires a new epoch"; for (const auto& [name, config] : configs) { FlowLedger fg(g); FlowPolicy p(fg, v({0}), v({3}), config); ASSERT_GT(p.place(4).placed, 0) << name; const auto finite = state_of(p, fg); - EXPECT_EQ(error_of([&] { (void)p.place(-1); }), "request -1" + range_error) << name; - EXPECT_EQ(error_of([&] { (void)p.place(kDomainLimit); }), "request 4611686018427387904" + range_error) << name; + EXPECT_EQ(error_of([&] { (void)p.place(-1); }), range_error) << name; + EXPECT_EQ(error_of([&] { (void)p.place(kDomainLimit); }), range_error) << name; expect_same(state_of(p, fg), finite, name); // Just below 2^127: 5 more would reach it, 4 would not. auto& requested = detail::PolicyAccess::engine(p).requested; const Counter128 saved = requested; requested = Counter128 {(std::uint64_t {1} << 63) - 1, std::numeric_limits::max() - 4}; const auto near_limit = state_of(p, fg); - EXPECT_EQ(error_of([&] { (void)p.place(5); }), "the cumulative request counter would reach 2^127") << name; + EXPECT_EQ(error_of([&] { (void)p.place(5); }), "requested limit exceeded") << name; expect_same(state_of(p, fg), near_limit, name); requested = saved; (void)p.place(std::nullopt); @@ -532,7 +560,7 @@ TEST(FlowPolicyRequests, RejectedRequestsLeaveThePolicyAndTheLedger) { ASSERT_TRUE(infinite.epoch.infinite) << name; EXPECT_EQ(error_of([&] { (void)p.place(1); }), after_inf) << name; EXPECT_EQ(error_of([&] { (void)p.place(0); }), after_inf) << name; - EXPECT_EQ(error_of([&] { (void)p.place(-1); }), "request -1" + range_error) << name; + EXPECT_EQ(error_of([&] { (void)p.place(-1); }), range_error) << name; expect_same(state_of(p, fg), infinite, name); p.remove(); EXPECT_EQ(p.place(1).placed, 1) << name; @@ -553,8 +581,8 @@ TEST(FlowPolicyRequests, LossyCountersStopBelow2To127) { const auto below = [](std::uint64_t x) { return Counter128 {(std::uint64_t {1} << 63) - 1, std::numeric_limits::max() - (x - 1)}; }; - const std::string offered_error = "the cumulative offered counter would reach 2^127"; - const std::string drop_error = "a cumulative drop counter would reach 2^127"; + const std::string offered_error = "offered limit exceeded"; + const std::string drop_error = "drops limit exceeded"; struct Case { std::uint64_t offered_below; std::optional drop_below; @@ -580,7 +608,7 @@ TEST(FlowPolicyRequests, LossyCountersStopBelow2To127) { } const auto r = p.place(std::nullopt); EXPECT_EQ(r.placed, 3) << name; - EXPECT_EQ(r.drops, (std::vector> {{1, 6}})) << name; + EXPECT_EQ(r.call_drops, (std::vector> {{1, 6}})) << name; const auto records = p.records(); ASSERT_EQ(records.size(), 1U) << name; EXPECT_EQ(records[0].offered, below(1)) << name; @@ -589,12 +617,13 @@ TEST(FlowPolicyRequests, LossyCountersStopBelow2To127) { } } -// The per-source shares of the cumulative request R (round robin from the lowest source): after -// R units source i of k has floor(R / k) + [i < R mod k]. Sources 0 .. k - 1 with their own -// 100-unit edge to k. k = 3: place(2) from R = 0 offers [1, 1, 0]; the next place(2) (R = 2) -// offers [1, 0, 1], which a rejected call that changed R would move. k = 7, where 2^64 = 2 mod 7: -// from R = 2^64 place(1) offers its unit to source 2, from R = 2^64 + 5 (= 0 mod 7) to source 0, -// so the high word of R counts with its exact weight. +// The equal origin's shares (round robin from the lowest source): a total T gives source i of k +// floor(T / k) + [i < T mod k]. Sources 0 .. k - 1 with their own 100-unit edge to k. k = 3, +// Lossless: place(2) admits 2, shares [1, 1, 0]; the next place(2) admits 4, shares [2, 1, 1] (the +// admitted total split from zero), which a rejected call would move. Lossy injects the increments +// of the cumulative offer O; k = 7, where 2^64 = 2 mod 7: from O = 2^64 place(1) injects its unit +// at source 2, from O = 2^64 + 5 (= 0 mod 7) at source 0, so the high word of O counts with its +// exact weight. TEST(FlowPolicyRequests, RoundRobinSharesFollowTheCumulativeRequest) { auto star = [](std::int32_t k) { std::vector rows; @@ -613,21 +642,21 @@ TEST(FlowPolicyRequests, RoundRobinSharesFollowTheCumulativeRequest) { FlowPolicy p(fg, sources(3), v({3}), cost_only_config()); EXPECT_EQ(p.place(2).placed, 2); EXPECT_EQ(delivered_by_source(p), (Shares {{0, 1}, {1, 1}, {2, 0}})); - EXPECT_EQ(error_of([&] { (void)p.place(-1); }), - "request -1 is outside [0, 2^62) units (requests are integer units or +inf)"); - EXPECT_EQ(error_of([&] { (void)p.place(kDomainLimit); }), - "request 4611686018427387904 is outside [0, 2^62) units (requests are integer units or +inf)"); + EXPECT_EQ(error_of([&] { (void)p.place(-1); }), "offer must be an integer in [0, 2^62) or permitted +inf"); + EXPECT_EQ(error_of([&] { (void)p.place(kDomainLimit); }), "offer must be an integer in [0, 2^62) or permitted +inf"); EXPECT_EQ(p.place(2).placed, 2); EXPECT_EQ(delivered_by_source(p), (Shares {{0, 2}, {1, 1}, {2, 1}})); } + // Lossy injects the round-robin increments of the cumulative offer O (Lossless re-splits its + // admitted total from zero, above): the next unit goes to source O mod k. auto g = star(7); - for (const auto& [requested, to] : {std::pair {Counter128 {1, 0}, NodeId {2}}, std::pair {Counter128 {1, 5}, NodeId {0}}}) { + for (const auto& [offered, to] : {std::pair {Counter128 {1, 0}, NodeId {2}}, std::pair {Counter128 {1, 5}, NodeId {0}}}) { FlowLedger fg(g); - FlowPolicy p(fg, sources(7), v({7}), cost_only_config()); - detail::PolicyAccess::engine(p).requested = requested; - EXPECT_EQ(p.place(1).placed, 1) << requested.lo; - for (const auto& [s, x] : delivered_by_source(p)) EXPECT_EQ(x, s == to ? 1 : 0) << requested.lo << " source " << s; - EXPECT_EQ(delivered_by_source(p).at(to), 1) << requested.lo; + FlowPolicy p(fg, sources(7), v({7}), cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy)); + detail::PolicyAccess::engine(p).offered = offered; + EXPECT_EQ(p.place(1).placed, 1) << offered.lo; + for (const auto& [s, x] : delivered_by_source(p)) EXPECT_EQ(x, s == to ? 1 : 0) << offered.lo << " source " << s; + EXPECT_EQ(delivered_by_source(p).at(to), 1) << offered.lo; } } @@ -662,11 +691,12 @@ TEST(FlowPolicyOutputs, OwnAllocationLedgerResidualBottleneckAndGlobalCut) { // Nothing requested: absent. r = p.place(1); EXPECT_FALSE(r.edge_flows || r.residual || r.bottleneck || r.min_cut); - // Global: the curve always, min_cut with bottleneck when the solve is maximal (at +inf; none - // under a cap of 2 below the maximum 8, which leaves a residual path). + // Global: the curve always, min_cut when requested and the solve is maximal (at +inf; none + // under a cap of 2 below the maximum 8, which leaves a residual path); bottleneck alone does + // not request it. FlowLedger fg2(g); FlowPolicy gl(fg2, v({0}), v({3}), global_config()); - r = gl.place(2, OutputOptions {false, false, true}); + r = gl.place(2, OutputOptions {false, false, true, true}); EXPECT_EQ(r.placed, 2); ASSERT_TRUE(r.cost_distribution.has_value()); EXPECT_EQ(*r.cost_distribution, curve({{2, 2}})); @@ -674,11 +704,16 @@ TEST(FlowPolicyOutputs, OwnAllocationLedgerResidualBottleneckAndGlobalCut) { EXPECT_FALSE(r.min_cut.has_value()); // At +inf the remaining 6 of the maximum 5 + 3: both edges out of node 0 saturate, so the // closure is {0} and the cut is 0 -> 1 and 0 -> 2 (EdgeIds 0 and 1). - r = gl.place(std::nullopt, OutputOptions {false, false, true}); + r = gl.place(std::nullopt, OutputOptions {false, false, true, true}); EXPECT_EQ(r.placed, 6); EXPECT_EQ(gl.placed_demand(), 8); ASSERT_TRUE(r.min_cut.has_value()); EXPECT_EQ(*r.min_cut, (std::vector {0, 1})); + FlowLedger fg3(g); + FlowPolicy gb(fg3, v({0}), v({3}), global_config()); + r = gb.place(std::nullopt, OutputOptions {false, false, true}); + EXPECT_TRUE(r.bottleneck.has_value()); + EXPECT_FALSE(r.min_cut.has_value()); } // The bottleneck output is the ledger's saturation report for the policy's sources under the @@ -712,28 +747,27 @@ TEST(FlowPolicyGlobal, EmptyRosterReportsAnEmptyCurveAndAnEmptyCut) { auto g = shared(make_graph(3, {{0, 1, 5, 1}})); FlowLedger fg(g); FlowPolicy p(fg, v({0}), v({2}), global_config()); - auto r = p.place(std::nullopt, OutputOptions {false, false, true}); + auto r = p.place(std::nullopt, OutputOptions {false, false, true, true}); EXPECT_EQ(r.termination, Termination::NoRoute); ASSERT_TRUE(r.cost_distribution.has_value()); EXPECT_TRUE(r.cost_distribution->empty()); ASSERT_TRUE(r.min_cut.has_value()); EXPECT_TRUE(r.min_cut->empty()); EXPECT_TRUE(p.records().empty()); - // The zero request is a no-op: no solve, no cut; the cumulative curve is empty. + // The zero request is a no-op: no solve, no cut; nothing is prepared, so no curve. FlowPolicy q(fg, v({1}), v({2}), global_config()); - r = q.place(0, OutputOptions {false, false, true}); + r = q.place(0, OutputOptions {false, false, true, true}); EXPECT_FALSE(r.min_cut.has_value()); - ASSERT_TRUE(r.cost_distribution.has_value()); - EXPECT_TRUE(r.cost_distribution->empty()); + EXPECT_FALSE(r.cost_distribution.has_value()); } -// Global with a roster whose maximum flow is 0: NoRoute while nothing was ever placed, Exhausted -// once something was. One edge 0 -> 1 of 2 units that a third party fills: the source statically -// reaches the destination (it is on the roster), and place(1) finds no flow: NoRoute for the call -// and the source, its record created empty (no bundle, no route cost, nothing delivered). After the -// third party leaves, place(1) delivers 1; a third party then takes the other unit, and the next -// place(1) re-solves 1 + 1 on a view of 1: nothing more, Exhausted. -TEST(FlowPolicyGlobal, ARosterWithoutFlowIsNoRouteUntilSomethingWasPlaced) { +// Global with a roster whose maximum flow is 0: Exhausted (a controller whose maximum is 0 over +// existing routes), whether or not something was placed before. One edge 0 -> 1 of 2 units that a +// third party fills: the source statically reaches the destination (it is on the roster), and +// place(1) finds no flow: Exhausted, its record created empty (no bundle, no route cost, nothing +// delivered). After the third party leaves, place(1) delivers 1; a third party then takes the other +// unit, and the next place(1) re-solves 1 + 1 on a view of 1: nothing more, Exhausted. +TEST(FlowPolicyGlobal, ARosterWithoutFlowIsExhausted) { auto g = shared(make_graph(2, {{0, 1, 2, 1}})); FlowLedger fg(g); Pinned edge; @@ -743,8 +777,7 @@ TEST(FlowPolicyGlobal, ARosterWithoutFlowIsNoRouteUntilSomethingWasPlaced) { FlowPolicy p(fg, v({0}), v({1}), global_config()); auto r = p.place(1); EXPECT_EQ(r.placed, 0); - EXPECT_EQ(r.termination, Termination::NoRoute); - EXPECT_EQ(r.local_outcomes, (std::vector> {{0, Termination::NoRoute}})); + EXPECT_EQ(r.termination, Termination::Exhausted); ASSERT_TRUE(r.cost_distribution.has_value()); EXPECT_TRUE(r.cost_distribution->empty()); ASSERT_EQ(p.records().size(), 1U); @@ -760,25 +793,23 @@ TEST(FlowPolicyGlobal, ARosterWithoutFlowIsNoRouteUntilSomethingWasPlaced) { r = p.place(1); EXPECT_EQ(r.placed, 0); EXPECT_EQ(r.termination, Termination::Exhausted); - EXPECT_EQ(r.local_outcomes, (std::vector> {{0, Termination::Exhausted}})); } -// A Global zero call reports the cumulative curve (its amounts sum to placed_demand(); -// empty before the first placement and after remove()) and changes nothing; it solves nothing, -// so it claims no cut. +// A Global zero call reports the cumulative curve (its amounts sum to placed_demand(); None +// before the epoch's first positive call, also after remove()) and changes nothing; it solves +// nothing, so it claims no cut. TEST(FlowPolicyGlobal, ZeroCallReportsTheCumulativeCurve) { using Curve = std::vector>; auto g = shared(make_graph(3, {{0, 1, 3, 7}, {0, 2, 4, 1}, {2, 1, 4, 1}})); FlowLedger fg(g); FlowPolicy p(fg, v({0}), v({1}), global_config()); auto z = p.place(0); - ASSERT_TRUE(z.cost_distribution.has_value()); - EXPECT_TRUE(z.cost_distribution->empty()); + EXPECT_FALSE(z.cost_distribution.has_value()); auto r = p.place(5); EXPECT_EQ(*r.cost_distribution, (Curve {{2, 4}, {7, 1}})); const auto allocated = fg.allocated(); const auto requested = detail::PolicyAccess::engine(p).requested; - z = p.place(0, OutputOptions {true, true, true}); + z = p.place(0, OutputOptions {true, true, true, true}); EXPECT_EQ(z.placed, 0); EXPECT_EQ(*z.cost_distribution, *r.cost_distribution); EXPECT_FALSE(z.min_cut.has_value()); @@ -793,8 +824,7 @@ TEST(FlowPolicyGlobal, ZeroCallReportsTheCumulativeCurve) { EXPECT_EQ(sum, p.placed_demand()); p.remove(); z = p.place(0); - ASSERT_TRUE(z.cost_distribution.has_value()); - EXPECT_TRUE(z.cost_distribution->empty()); + EXPECT_FALSE(z.cost_distribution.has_value()); } // The Global layer on random graphs (nonuniform costs 1 to 9 times a factor of 1, 1,000,003 or @@ -807,7 +837,7 @@ TEST(FlowPolicyGlobal, ZeroCallReportsTheCumulativeCurve) { // maximum and curve, and batch_capacity() agrees with capacity() per pair. TEST(FlowPolicyGlobal, RandomCumulativeSolvesAreOptimalWithACertifiedCut) { std::mt19937_64 rng(20261010); - const OutputOptions all {true, true, true}; + const OutputOptions all {true, true, true, true}; auto below = [&](std::int64_t k) { return static_cast(rng() % static_cast(k)); }; int capped = 0, masked = 0, occupied = 0, with_flow = 0; int evaluated = 0; // trials whose evaluators are compared (no other owner) @@ -934,7 +964,7 @@ TEST(FlowPolicyGlobal, RandomCumulativeSolvesAreOptimalWithACertifiedCut) { // The evaluators on a fresh ledger (static capacities): the same maximum and cost. if (other.has_value()) continue; ++evaluated; - const CapacityOptions co {global_config(), elig, nullptr, all}; + const QueryOptions co {global_config(), elig, nullptr, all}; const auto cr = capacity(*g, srcs, dsts, co); EXPECT_EQ(cr.placed, max_flow) << where; ASSERT_TRUE(cr.cost_distribution.has_value()) << where; @@ -986,7 +1016,9 @@ TEST(FlowPolicyRecords, RandomCostOnlyAndCapacityAwareRecordsAreFlows) { cost_only_config(), cfg(CostOnly {}, FlowPlacement::Weighted), cfg(CostOnly {}, FlowPlacement::MaxFlow), - cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, tunnel), + // The deterministic single path (several sources reject PreferHigherPriority with it). + cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, + sel(EdgeTieBreak::Deterministic, EdgePriority::Residual, false, false)), cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy), cfg(CostOnly {}, FlowPlacement::Weighted, Admission::Lossy, res), cfg(grow, FlowPlacement::EqualBalanced, Admission::Lossless, tunnel), @@ -1174,8 +1206,18 @@ TEST(FlowPolicyRecords, OneFlowDeliversToTheNearestDestinations) { // edges 5 and 10, no ceiling: 5, then 10, then no route is left: Exhausted (15), and the call // is LimitDiminishing; // one edge of 5 that a third party fills: no flow (NoRoute), and the call is LimitDiminishing. +// The sources' outcomes are internal: the private hooks' trace lists them (by the names the +// transaction trace uses). TEST(FlowPolicyOutcomes, TheCallTakesTheHighestUnservedOutcome) { - using Outcomes = std::vector>; + const auto name_of = [](Termination t) -> std::string { + switch (t) { + case Termination::LimitFlows: return "limit_flows"; + case Termination::LimitDiminishing: return "limit_diminishing"; + case Termination::NoRoute: return "no_route"; + case Termination::Exhausted: return "exhausted"; + default: return "complete"; + } + }; struct Case { const char* name; std::vector source0; @@ -1208,9 +1250,21 @@ TEST(FlowPolicyOutcomes, TheCallTakesTheHighestUnservedOutcome) { ca.diminishing = DiminishingReturns {1, 0.5}; FlowPolicy p(fg, v({0, 1}), v({2}), cfg(ca, FlowPlacement::MaxFlow, Admission::Lossless, sel(EdgeTieBreak::Deterministic, EdgePriority::Capacity, false))); +#if NETGRAPH_CORE_PRIVATE_HOOKS + detail::Trace trace; + const auto r = detail::place_traced(p, 40, {}, trace); + const detail::Trace* outcomes = nullptr; + for (const auto& [key, value] : trace.fields) { + if (key == "local_outcomes") outcomes = &value; + } + ASSERT_NE(outcomes, nullptr) << c.name; + ASSERT_EQ(outcomes->fields.size(), 2U) << c.name; + EXPECT_EQ(outcomes->fields[0].second.s, name_of(c.first)) << c.name; + EXPECT_EQ(outcomes->fields[1].second.s, name_of(Termination::LimitDiminishing)) << c.name; +#else const auto r = p.place(40); +#endif EXPECT_EQ(r.placed, c.placed) << c.name; - EXPECT_EQ(r.local_outcomes, (Outcomes {{0, c.first}, {1, Termination::LimitDiminishing}})) << c.name; EXPECT_EQ(r.termination, c.call) << c.name; } } @@ -1293,7 +1347,6 @@ TEST(CapacityAwareGates, PathCostCeilingExcludesACostlierRoute) { EXPECT_EQ(r.placed, c.placed) << where; EXPECT_EQ(r.remaining, 10 - c.placed) << where; EXPECT_EQ(r.termination, c.term) << where; - EXPECT_EQ(r.local_outcomes, (std::vector> {{0, c.term}})) << where; EXPECT_EQ(r.routes_changed, !c.routes.empty()) << where; EXPECT_FALSE(r.weights_changed) << where; EXPECT_EQ(routes_of(p), c.routes) << where; @@ -1492,7 +1545,7 @@ TEST(Evaluators, CapacityIsPlaceInfOnAFreshLedger) { for (const auto& c : {global_config(), cost_only_config(), cfg(CapacityAware {.flow_count = 2, .max_flow_count = 4}, FlowPlacement::MaxFlow), cfg(pin, FlowPlacement::EqualBalanced)}) { - const auto r = capacity(*g, v({0}), v({3}), CapacityOptions {c, nullptr, nullptr, OutputOptions {true, true, true}}); + const auto r = capacity(*g, v({0}), v({3}), QueryOptions {c, nullptr, nullptr, OutputOptions {true, true, true}}); FlowLedger fg(g); FlowPolicy p(fg, v({0}), v({3}), c); const auto want = p.place(std::nullopt, OutputOptions {true, true, true}); @@ -1500,7 +1553,7 @@ TEST(Evaluators, CapacityIsPlaceInfOnAFreshLedger) { expect_same(r, want, "capacity against place(+inf)"); } // The exact maximum flow: Global's curve (cheapest walks first). - const auto exact = capacity(*g, v({0}), v({3}), CapacityOptions {global_config()}); + const auto exact = capacity(*g, v({0}), v({3}), QueryOptions {global_config()}); EXPECT_EQ(exact.placed, 8); EXPECT_EQ(*exact.cost_distribution, curve({{2, 5}, {4, 3}})); } @@ -1512,7 +1565,7 @@ TEST(Evaluators, BatchOrderIntersectionsExceptionsAndWorkers) { std::vector, std::vector>> pairs = { {{0}, {3}}, {{0}, {3}}, {{1}, {3}}, {{0}, {1, 2}}}; const std::vector per = {nullptr, &first_route, nullptr, nullptr}; - const CapacityOptions opts {global_config(), &common, nullptr, OutputOptions {true, true, true}}; + const QueryOptions opts {global_config(), &common, nullptr, OutputOptions {true, true, true, true}}; const auto r1 = batch_capacity(*g, pairs, opts, per, 1); ASSERT_EQ(r1.size(), 4U); EXPECT_EQ(r1[0].placed, 5); // common only: route 1 @@ -1545,11 +1598,11 @@ TEST(Evaluators, BatchOrderIntersectionsExceptionsAndWorkers) { EXPECT_TRUE(contains(error_of([&] { (void)batch_capacity(*g, pairs, opts, per_foreign, 1); }), "foreign")); Pinned pin; pin.bundles = {dag_of(*g, {0, 2})}; - EXPECT_TRUE(contains(error_of([&] { (void)batch_capacity(*g, pairs, CapacityOptions {cfg(pin, FlowPlacement::MaxFlow)}, {}, 1); }), + EXPECT_TRUE(contains(error_of([&] { (void)batch_capacity(*g, pairs, QueryOptions {cfg(pin, FlowPlacement::MaxFlow)}, {}, 1); }), "Pinned")); EXPECT_TRUE(contains(error_of([&] { (void)batch_capacity(*g, pairs, opts, per, 0); }), "workers")); DagCache cache(*g); - const CapacityOptions with_cache {cost_only_config(), nullptr, &cache}; + const QueryOptions with_cache {cost_only_config(), nullptr, &cache}; EXPECT_TRUE(contains(error_of([&] { (void)batch_capacity(*g, pairs, with_cache, {}, 2); }), "workers == 1")); const auto cached = batch_capacity(*g, pairs, with_cache, {}, 1); EXPECT_EQ(cache.stats().misses, 2); // destination sets {3} and {1, 2} @@ -1570,7 +1623,7 @@ TEST(Evaluators, BatchOrderIntersectionsExceptionsAndWorkers) { const std::vector short_per = {nullptr}; auto first_error = [&](const FlowPolicyConfig& c, const Eligibility* elig, DagCache* with, const std::vector& per_pair, std::int32_t workers) { - return error_of([&] { (void)batch_capacity(*g, bad, CapacityOptions {c, elig, with}, per_pair, workers); }); + return error_of([&] { (void)batch_capacity(*g, bad, QueryOptions {c, elig, with}, per_pair, workers); }); }; EXPECT_EQ(first_error(pinned_bad, &foreign, &foreign_cache, short_per, 0), "workers must be >= 1 (got 0)"); EXPECT_EQ(first_error(pinned_bad, &foreign, &foreign_cache, short_per, 2), @@ -1582,8 +1635,9 @@ TEST(Evaluators, BatchOrderIntersectionsExceptionsAndWorkers) { EXPECT_EQ(first_error(pinned_bad, nullptr, &building, short_per, 1), "Pinned routing is rejected in batch_capacity (bundles bind their endpoints)"); EXPECT_EQ(first_error(config_bad, nullptr, &building, short_per, 1), kLossyKernelError); - EXPECT_EQ(first_error(global_config(), nullptr, &building, short_per, 1), "per_pair_elig has 1 entries for 4 pairs"); - EXPECT_EQ(first_error(global_config(), nullptr, &building, per, 1), "destinations: node 9 out of node range [0, 4)"); + EXPECT_EQ(first_error(global_config(), nullptr, &building, short_per, 1), "Global does not use DagCache"); + EXPECT_EQ(first_error(cost_only_config(), nullptr, &building, short_per, 1), "per_pair_elig has 1 entries for 4 pairs"); + EXPECT_EQ(first_error(cost_only_config(), nullptr, &building, per, 1), "destinations: node 9 out of node range [0, 4)"); EXPECT_EQ(stats_of(building.stats()), stats_of(DagCache(*g).stats())); } @@ -1592,7 +1646,7 @@ TEST(Evaluators, BatchValidatesInPairOrderBeforeAnyWorker) { auto g = diamond(5, 3); std::vector, std::vector>> pairs = { {{0}, {3}}, {{0}, {7}}, {{0}, {3}}, {{0}, {8}}}; - const auto msg = error_of([&] { (void)batch_capacity(*g, pairs, CapacityOptions {global_config()}, {}, 4); }); + const auto msg = error_of([&] { (void)batch_capacity(*g, pairs, QueryOptions {global_config()}, {}, 4); }); EXPECT_TRUE(contains(msg, "node 7")) << msg; // Within one pair: the sources, then the destinations, then their overlap, then the pair's // Eligibility's graph. @@ -1601,7 +1655,7 @@ TEST(Evaluators, BatchValidatesInPairOrderBeforeAnyWorker) { const std::vector per = {&foreign}; const auto pair_error = [&](std::vector s, std::vector d) { const std::vector, std::vector>> one = {{s, d}}; - return error_of([&] { (void)batch_capacity(*g, one, CapacityOptions {global_config()}, per, 1); }); + return error_of([&] { (void)batch_capacity(*g, one, QueryOptions {global_config()}, per, 1); }); }; EXPECT_EQ(pair_error({}, {9}), "sources: the node set is empty"); EXPECT_EQ(pair_error({0, 3}, {3, 9}), "destinations: node 9 out of node range [0, 4)"); @@ -1609,20 +1663,24 @@ TEST(Evaluators, BatchValidatesInPairOrderBeforeAnyWorker) { EXPECT_EQ(pair_error({0}, {3}), "foreign Eligibility: per_pair_elig[0] built for another graph"); } -// The sensitivity shortcuts (Global from the baseline's maximum flow, CostOnly without a +// The sensitivity shortcuts (optimized Global from the baseline's maximum flow, CostOnly without a // re-evaluation of the edges outside the static shortest-path support reachable from the sources) -// and the plain re-evaluations (CapacityAware, Pinned) give the losses of the definition, the +// and the plain re-evaluations (equal Global, CapacityAware, Pinned) give the losses of the +// definition, the // baseline's placed amount minus capacity() with the edge excluded, on random graphs with parallel // edges, self-loops, dispersed costs, zero capacities, endpoint sets and eligibility masks; every // CostOnly kernel with every tie break, multipath and multi_edge setting under the Capacity -// priority, both admissions, and one Residual single-path selection (no Headroom); two -// CapacityAware configurations (growth, and reoptimization under a Stretch ceiling); and Pinned +// priority (the pooled single-path rule skips PreferHigherPriority single paths with two sources), +// both admissions, one Residual single-path selection (no Headroom) and the equal origin of +// MaxFlow; Global under both origins (equal: a deletion that removes a source from the roster can +// raise the total, a negative loss); two CapacityAware configurations (growth, and reoptimization +// under a Stretch ceiling); and Pinned // with two bundles (the static support toward the destination and the second shortest path) on // single endpoints. An edge without an entry has loss 0 by the same definition. TEST(Evaluators, SensitivityEqualsTheDefinitionOnRandomGraphs) { std::mt19937 rng(20261005); auto pick = [&](int n) { return static_cast(rng() % static_cast(n)); }; - std::vector configs = {global_config()}; + std::vector configs = {global_config(), {.routing = Global {}, .origin = Origin::Equal}}; for (auto k : {FlowPlacement::MaxFlow, FlowPlacement::EqualBalanced, FlowPlacement::Weighted}) { for (bool multipath : {true, false}) { for (bool multi_edge : {true, false}) { @@ -1634,6 +1692,7 @@ TEST(Evaluators, SensitivityEqualsTheDefinitionOnRandomGraphs) { } configs.push_back(cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy)); configs.push_back(cfg(CostOnly {}, FlowPlacement::Weighted, Admission::Lossy, sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, false))); + configs.push_back({CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossless, sel(), Origin::Equal}); configs.push_back(cfg(CapacityAware {.flow_count = 1, .max_flow_count = 3}, FlowPlacement::EqualBalanced, Admission::Lossless, sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, false))); configs.push_back(cfg(CapacityAware {.flow_count = 2, .max_path_cost = Stretch {2.0}, .reoptimize = true}, @@ -1646,6 +1705,7 @@ TEST(Evaluators, SensitivityEqualsTheDefinitionOnRandomGraphs) { int pinned_losses = 0; int pinned_trials = 0; int zero_edge_losses = 0; // entries of zero-capacity edges whose deletion changes the result + int negative = 0; // equal-origin deletions that raise the total int absent = 0; for (int trial = 0; trial < 60; ++trial) { const int n = 4 + pick(7); @@ -1677,16 +1737,20 @@ TEST(Evaluators, SensitivityEqualsTheDefinitionOnRandomGraphs) { ++pinned_trials; } for (const auto& c : trial_configs) { - const bool global = std::holds_alternative(c.routing); const bool cost_only = std::holds_alternative(c.routing); + if (cost_only && s.size() > 1 && !c.selection->multipath && + c.selection->tie_break == EdgeTieBreak::PreferHigherPriority) { + continue; // the pooled single-path rule + } + const bool global = std::holds_alternative(c.routing) && c.origin != Origin::Equal; const bool pinned = std::holds_alternative(c.routing); const std::vector cs = pinned ? std::vector {0} : s; const std::vector ct = pinned ? std::vector {t0} : t; - const auto r = sensitivity(*g, cs, ct, SensitivityOptions {c, elig}, 1 + pick(3)); + const auto r = sensitivity(*g, cs, ct, QueryOptions {c, elig}, 1 + pick(3)); // The baseline is capacity() itself, and the entries are the candidates in ascending order: // Global, the baseline's positive-flow edges; every other model, every allowed edge, // whatever its capacity. - const auto base = capacity(*g, cs, ct, CapacityOptions {c, elig, nullptr, OutputOptions {true, false, false}}); + const auto base = capacity(*g, cs, ct, QueryOptions {c, elig, nullptr, OutputOptions {true, false, false}}); ASSERT_EQ(r.baseline.placed, base.placed) << "trial " << trial; std::vector candidates; for (EdgeId e = 0; e < g->num_edges(); ++e) { @@ -1695,7 +1759,12 @@ TEST(Evaluators, SensitivityEqualsTheDefinitionOnRandomGraphs) { candidates.push_back(e); } } - const std::string model = global ? " Global" : cost_only ? " CostOnly" : pinned ? " Pinned" : " CapacityAware"; + const bool equal_global = std::holds_alternative(c.routing) && !global; + const std::string model = global ? " Global" + : equal_global ? " Global equal" + : cost_only ? " CostOnly" + : pinned ? " Pinned" + : " CapacityAware"; std::vector listed; for (const auto& e : r.entries) listed.push_back(e.edge); ASSERT_EQ(listed, candidates) << "trial " << trial << model; @@ -1704,7 +1773,7 @@ TEST(Evaluators, SensitivityEqualsTheDefinitionOnRandomGraphs) { const EdgeId one[1] = {e}; auto deleted = g->eligibility({}, one); if (elig != nullptr) deleted = Eligibility::intersect(*elig, deleted); - return base.placed - capacity(*g, cs, ct, CapacityOptions {c, &deleted}).placed; + return base.placed - capacity(*g, cs, ct, QueryOptions {c, &deleted}).placed; }; for (const auto& e : r.entries) { const Amount want = loss(e.edge); @@ -1713,6 +1782,7 @@ TEST(Evaluators, SensitivityEqualsTheDefinitionOnRandomGraphs) { if (want != 0) ++(global ? global_losses : cost_only ? policy_losses : pinned ? pinned_losses : aware_losses); if (cost_only && want == 0) ++policy_zero; if (g->capacity_units()[static_cast(e.edge)] == 0 && want != 0) ++zero_edge_losses; + if (want < 0) ++negative; } for (EdgeId e = 0; e < g->num_edges(); ++e) { if (std::find(listed.begin(), listed.end(), e) != listed.end()) continue; @@ -1731,6 +1801,7 @@ TEST(Evaluators, SensitivityEqualsTheDefinitionOnRandomGraphs) { EXPECT_GT(pinned_losses, 30); EXPECT_GT(pinned_trials, 20); EXPECT_GT(zero_edge_losses, 50); + EXPECT_GT(negative, 10); EXPECT_GT(absent, 500); } @@ -1739,7 +1810,7 @@ TEST(Evaluators, SensitivityCandidatesAndSignedLosses) { // appears: 0 -> 1 of capacity 9 carries 4 (its tail 1 -> 2 holds 4) and its deletion // loses 4; a candidate set of saturated edges only would miss it. auto g = shared(make_graph(3, {{0, 1, 9, 1}, {1, 2, 4, 1}, {0, 2, 2, 5}})); - auto s = sensitivity(*g, v({0}), v({2}), SensitivityOptions {global_config()}, 1); + auto s = sensitivity(*g, v({0}), v({2}), QueryOptions {global_config()}, 1); EXPECT_EQ(s.baseline.placed, 6); EXPECT_FALSE(s.baseline.edge_flows.has_value()); // requested internally, not returned std::map losses; @@ -1754,7 +1825,7 @@ TEST(Evaluators, SensitivityCandidatesAndSignedLosses) { // third would cross the zero link. Without the thin link (members 1, 2): 1, loss 1; without the // wide link (0, 2): 1, loss 1; without the zero link (0, 1): 2, loss 0. auto p = shared(make_graph(2, {{0, 1, 1, 1}, {0, 1, 10, 1}, {0, 1, 0, 1}})); - const auto opts = SensitivityOptions {cost_only_config()}; + const auto opts = QueryOptions {cost_only_config()}; s = sensitivity(*p, v({0}), v({1}), opts, 1); EXPECT_EQ(s.baseline.placed, 2); // The exact (edge, loss) list in ascending EdgeId. @@ -1770,7 +1841,7 @@ TEST(Evaluators, SensitivityCandidatesAndSignedLosses) { for (const auto& e : s4.entries) got4.emplace_back(e.edge, e.loss); EXPECT_EQ(got4, want); const auto el = p->eligibility({}, std::vector {pin[0]}); - const auto se = sensitivity(*p, v({0}), v({1}), SensitivityOptions {opts.cfg, &el}, 1); + const auto se = sensitivity(*p, v({0}), v({1}), QueryOptions {opts.config, &el}, 1); ASSERT_EQ(se.entries.size(), 2U); EXPECT_EQ(se.entries[0].edge, std::min(pin[1], pin[2])); EXPECT_EQ(se.entries[1].edge, std::max(pin[1], pin[2])); @@ -1787,9 +1858,9 @@ TEST(Evaluators, SensitivityCandidatesAndSignedLosses) { // Invalid inputs propagate (before any worker). EXPECT_THROW((void)sensitivity(*p, v({0}), v({0}), opts, 1), std::invalid_argument); DagCache cache(*p); - EXPECT_THROW((void)sensitivity(*p, v({0}), v({1}), SensitivityOptions {opts.cfg, nullptr, &cache}, 2), + EXPECT_THROW((void)sensitivity(*p, v({0}), v({1}), QueryOptions {opts.config, nullptr, &cache}, 2), std::invalid_argument); - EXPECT_EQ(sensitivity(*p, v({0}), v({1}), SensitivityOptions {opts.cfg, nullptr, &cache}, 1).entries.size(), 3U); + EXPECT_EQ(sensitivity(*p, v({0}), v({1}), QueryOptions {opts.config, nullptr, &cache}, 1).entries.size(), 3U); } // The baseline is capacity() with the requested outputs, in every routing model; without a @@ -1802,13 +1873,13 @@ TEST(Evaluators, SensitivityBaselineIsCapacityWithTheRequestedOutputs) { for (const auto& c : {global_config(), cost_only_config(), cfg(CapacityAware {.flow_count = 2, .max_flow_count = 4}, FlowPlacement::MaxFlow), cfg(pin, FlowPlacement::EqualBalanced)}) { - const auto s = sensitivity(*g, v({0}), v({3}), SensitivityOptions {c, nullptr, nullptr, all}, 1); - const auto want = capacity(*g, v({0}), v({3}), CapacityOptions {c, nullptr, nullptr, all}); + const auto s = sensitivity(*g, v({0}), v({3}), QueryOptions {c, nullptr, nullptr, all}, 1); + const auto want = capacity(*g, v({0}), v({3}), QueryOptions {c, nullptr, nullptr, all}); EXPECT_GT(want.placed, 0); ASSERT_TRUE(want.edge_flows.has_value() && want.residual.has_value() && want.bottleneck.has_value()); expect_same(s.baseline, want, "sensitivity baseline with every output"); - const auto plain = sensitivity(*g, v({0}), v({3}), SensitivityOptions {c}, 1); - expect_same(plain.baseline, capacity(*g, v({0}), v({3}), CapacityOptions {c}), "sensitivity baseline, no output"); + const auto plain = sensitivity(*g, v({0}), v({3}), QueryOptions {c}, 1); + expect_same(plain.baseline, capacity(*g, v({0}), v({3}), QueryOptions {c}), "sensitivity baseline, no output"); } } @@ -1817,14 +1888,14 @@ TEST(Evaluators, SensitivityBaselineIsCapacityWithTheRequestedOutputs) { // candidate gets loss 0 without a placement. A supplied building cache shows which deletions were // placed: each placed deletion looks up its own fresh Eligibility uid (one miss and one entry), // after the baseline's one. Edges 0->2, 1->2, 2->3, 2->4, 3->5, 4->5 of 10 units at cost 1: all six -// form the support toward 5. From source 0 the single path is 0->2->3->5, but 2->4 and 4->5, on no -// baseline route, are in its reachable support and are re-evaluated (loss 0); 1->2 is not and is -// skipped. From sources 0 and 1 the second source reaches 1->2 too. +// form the support toward 5. From source 0 the MaxFlow controller sends 10 over 0->2->3->5 (the +// lowest EdgeIds first), but 2->4 and 4->5, carrying nothing, are in its reachable support and are +// re-evaluated (loss 0); 1->2 is not and is skipped. From sources 0 and 1 (pooled, 20) the second +// source reaches 1->2 too, and every deletion loses 10. TEST(Evaluators, CostOnlySensitivityReevaluatesExactlyTheReachableSupport) { auto g = shared(make_graph(6, {{0, 2, 10, 1}, {1, 2, 10, 1}, {2, 3, 10, 1}, {2, 4, 10, 1}, {3, 5, 10, 1}, {4, 5, 10, 1}})); const auto in = id_of_input(*g); - const auto c = cfg(CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossless, - sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, true)); + const auto c = cfg(CostOnly {}, FlowPlacement::MaxFlow); const auto losses_of = [&](const SensitivityResult& r) { std::map out; // by input position for (const auto& e : r.entries) { @@ -1833,14 +1904,14 @@ TEST(Evaluators, CostOnlySensitivityReevaluatesExactlyTheReachableSupport) { return out; }; DagCache one(*g); - const auto r1 = sensitivity(*g, v({0}), v({5}), SensitivityOptions {c, nullptr, &one}, 1); + const auto r1 = sensitivity(*g, v({0}), v({5}), QueryOptions {c, nullptr, &one}, 1); EXPECT_EQ(r1.baseline.placed, 10); EXPECT_EQ(losses_of(r1), (std::map {{0, 10}, {1, 0}, {2, 0}, {3, 0}, {4, 0}, {5, 0}})); EXPECT_EQ(one.stats().hits, 0); EXPECT_EQ(one.stats().misses, 1 + 5); // the baseline, then every candidate but 1->2 EXPECT_EQ(one.stats().entries, 1 + 5); DagCache two(*g); - const auto r2 = sensitivity(*g, v({0, 1}), v({5}), SensitivityOptions {c, nullptr, &two}, 1); + const auto r2 = sensitivity(*g, v({0, 1}), v({5}), QueryOptions {c, nullptr, &two}, 1); EXPECT_EQ(r2.baseline.placed, 20); EXPECT_EQ(losses_of(r2), (std::map {{0, 10}, {1, 10}, {2, 10}, {3, 10}, {4, 10}, {5, 10}})); EXPECT_EQ(two.stats().misses, 1 + 6); // every candidate @@ -1849,7 +1920,8 @@ TEST(Evaluators, CostOnlySensitivityReevaluatesExactlyTheReachableSupport) { // sensitivity's worker and cache rules are batch_capacity's, checked in its order before any work: // workers >= 1, the Eligibility's graph, the cache's graph, a supplied building cache only with -// one worker; a frozen cache is shared by every worker. +// one worker; a frozen cache is shared by every worker. A model that reads no cache (Global) +// rejects one, frozen or not, after those checks. TEST(Evaluators, SensitivityChecksWorkersAndCachesAsTheBatchDoes) { auto g = diamond(5, 3); auto other = diamond(5, 3); @@ -1857,7 +1929,7 @@ TEST(Evaluators, SensitivityChecksWorkersAndCachesAsTheBatchDoes) { DagCache foreign_cache(*other); DagCache building(*g); const auto first_error = [&](const Eligibility* elig, DagCache* cache, std::int32_t workers) { - return error_of([&] { (void)sensitivity(*g, v({0}), v({3}), SensitivityOptions {global_config(), elig, cache}, workers); }); + return error_of([&] { (void)sensitivity(*g, v({0}), v({3}), QueryOptions {cost_only_config(), elig, cache}, workers); }); }; EXPECT_EQ(first_error(&foreign, &foreign_cache, 0), "workers must be >= 1 (got 0)"); EXPECT_EQ(first_error(&foreign, &foreign_cache, 2), "foreign Eligibility: built for another graph"); @@ -1866,43 +1938,37 @@ TEST(Evaluators, SensitivityChecksWorkersAndCachesAsTheBatchDoes) { "a supplied building DagCache has one writer: it is rejected unless workers == 1 (got workers = 2; a " "frozen cache may be shared by every worker)"); EXPECT_EQ(stats_of(building.stats()), stats_of(DagCache(*g).stats())); // no lookup ran - const auto want = sensitivity(*g, v({0}), v({3}), SensitivityOptions {global_config()}, 1); building.freeze(); for (const std::int32_t workers : {1, 2, 4}) { - const auto r = sensitivity(*g, v({0}), v({3}), SensitivityOptions {global_config(), nullptr, &building}, workers); - ASSERT_EQ(r.entries.size(), want.entries.size()); - for (std::size_t i = 0; i < r.entries.size(); ++i) { - EXPECT_EQ(r.entries[i].edge, want.entries[i].edge); - EXPECT_EQ(r.entries[i].loss, want.entries[i].loss); - } + EXPECT_EQ(error_of([&] { + (void)sensitivity(*g, v({0}), v({3}), QueryOptions {global_config(), nullptr, &building}, workers); + }), + "Global does not use DagCache"); } + EXPECT_EQ(stats_of(building.stats()), stats_of(DagCache(*g).stats())); } -// Only CostOnly reads the cache: through an empty frozen cache Global, CapacityAware and Pinned -// sensitivity give the entries of a call without a cache and count nothing; CostOnly's baseline -// raises the miss. +// Only CostOnly reads the cache: Global, CapacityAware and Pinned reject one (frozen too) before +// any lookup and count nothing; CostOnly's baseline raises the miss of an empty frozen cache. TEST(Evaluators, SensitivityReadsTheCacheOnlyUnderCostOnly) { auto g = diamond(5, 3, 2); Pinned pin; pin.bundles = {dag_of(*g, {0, 2}), dag_of(*g, {1, 3})}; DagCache empty(*g); empty.freeze(); - for (const auto& c : {global_config(), cfg(CapacityAware {.flow_count = 2, .max_flow_count = 4}, FlowPlacement::MaxFlow), - cfg(pin, FlowPlacement::EqualBalanced)}) { - const auto want = sensitivity(*g, v({0}), v({3}), SensitivityOptions {c}, 1); - ASSERT_FALSE(want.entries.empty()); + for (const auto& [c, model] : + {std::pair {global_config(), "Global"}, + std::pair {cfg(CapacityAware {.flow_count = 2, .max_flow_count = 4}, FlowPlacement::MaxFlow), "T1"}, + std::pair {cfg(pin, FlowPlacement::EqualBalanced), "Pinned"}}) { for (const std::int32_t workers : {1, 3}) { - const auto r = sensitivity(*g, v({0}), v({3}), SensitivityOptions {c, nullptr, &empty}, workers); - expect_same(r.baseline, want.baseline, "through an empty frozen cache"); - ASSERT_EQ(r.entries.size(), want.entries.size()); - for (std::size_t i = 0; i < r.entries.size(); ++i) { - EXPECT_EQ(r.entries[i].edge, want.entries[i].edge); - EXPECT_EQ(r.entries[i].loss, want.entries[i].loss); - } + EXPECT_EQ(error_of([&] { + (void)sensitivity(*g, v({0}), v({3}), QueryOptions {c, nullptr, &empty}, workers); + }), + std::string(model) + " does not use DagCache"); } } EXPECT_EQ(stats_of(empty.stats()), stats_of(DagCache(*g).stats())); - EXPECT_THROW((void)sensitivity(*g, v({0}), v({3}), SensitivityOptions {cost_only_config(), nullptr, &empty}, 1), + EXPECT_THROW((void)sensitivity(*g, v({0}), v({3}), QueryOptions {cost_only_config(), nullptr, &empty}, 1), DagCacheMiss); EXPECT_EQ(empty.stats().misses, 1); } diff --git a/tests/cpp/graph_concurrency_tests.cpp b/tests/cpp/graph_concurrency_tests.cpp index 887bc68..954ba92 100644 --- a/tests/cpp/graph_concurrency_tests.cpp +++ b/tests/cpp/graph_concurrency_tests.cpp @@ -222,7 +222,7 @@ TEST(GraphConcurrency, BatchWorkersBuildTheirOwnReverseSupport) { for (NodeId s = 0; s < 32; ++s) pairs.push_back({{s}, {static_cast(399 - s)}}); // CostOnly routing: each policy's DAG is the reverse static support toward its destination. // Every output is requested, so the per-edge flows and the residuals are compared too. - const CapacityOptions opts {cost_only_config(), nullptr, nullptr, OutputOptions {true, true, true}}; + const QueryOptions opts {cost_only_config(), nullptr, nullptr, OutputOptions {true, true, true}}; const auto serial = batch_capacity(g, pairs, opts, {}, 1); const auto parallel = batch_capacity(g, pairs, opts, {}, 4); ASSERT_EQ(serial.size(), pairs.size()); diff --git a/tests/cpp/graph_layout_tests.cpp b/tests/cpp/graph_layout_tests.cpp index 95de8f2..7c9daa7 100644 --- a/tests/cpp/graph_layout_tests.cpp +++ b/tests/cpp/graph_layout_tests.cpp @@ -825,16 +825,16 @@ TEST(GraphLayout, ForeignGraphBoundObjectsAreRejectedAtTheirUseSites) { DagCache cache(twin); const std::string elig_msg = "foreign Eligibility: built for another graph"; const std::string cache_msg = "foreign DagCache: bound to another graph"; - EXPECT_EQ(error_of([&] { (void)capacity(g, s, d, CapacityOptions {cfg, &el}); }), elig_msg); - EXPECT_EQ(error_of([&] { (void)capacity(g, s, d, CapacityOptions {cfg, nullptr, &cache}); }), cache_msg); + EXPECT_EQ(error_of([&] { (void)capacity(g, s, d, QueryOptions {cfg, &el}); }), elig_msg); + EXPECT_EQ(error_of([&] { (void)capacity(g, s, d, QueryOptions {cfg, nullptr, &cache}); }), cache_msg); const std::vector, std::vector>> pairs {{s, d}}; - EXPECT_EQ(error_of([&] { (void)batch_capacity(g, pairs, CapacityOptions {cfg, nullptr, &cache}, {}, 1); }), cache_msg); - EXPECT_EQ(error_of([&] { (void)sensitivity(g, s, d, SensitivityOptions {cfg, &el}, 1); }), elig_msg); - EXPECT_EQ(error_of([&] { (void)sensitivity(g, s, d, SensitivityOptions {cfg, nullptr, &cache}, 1); }), cache_msg); + EXPECT_EQ(error_of([&] { (void)batch_capacity(g, pairs, QueryOptions {cfg, nullptr, &cache}, {}, 1); }), cache_msg); + EXPECT_EQ(error_of([&] { (void)sensitivity(g, s, d, QueryOptions {cfg, &el}, 1); }), elig_msg); + EXPECT_EQ(error_of([&] { (void)sensitivity(g, s, d, QueryOptions {cfg, nullptr, &cache}, 1); }), cache_msg); const Path p(twin, {{0}, {2}}); EXPECT_EQ(error_of([&] { (void)resolve_to_paths(g, p.to_dag(), 0, 3); }), "foreign PredDAG: built for another graph"); // The same calls on the owning graph succeed (the controls). - EXPECT_NO_THROW((void)capacity(twin, s, d, CapacityOptions {cfg, &el, &cache})); + EXPECT_NO_THROW((void)capacity(twin, s, d, QueryOptions {cfg, &el, &cache})); EXPECT_EQ(resolve_to_paths(twin, p.to_dag(), 0, 3).size(), 1U); } diff --git a/tests/cpp/kernels_tests.cpp b/tests/cpp/kernels_tests.cpp index aa00023..3b847d8 100644 --- a/tests/cpp/kernels_tests.cpp +++ b/tests/cpp/kernels_tests.cpp @@ -205,7 +205,19 @@ KernelPlan plan_of(const Graph& g, FlowPlacement p, NodeId src, std::vector offer, std::span w) { + Injection in; + if (offer.has_value()) { + in.per_root = std::span(&*offer, 1); + } else { + in.first_hop = true; + } + return forward(plan, in, w); } std::vector caps(const Graph& g) { @@ -282,6 +294,52 @@ TEST(Apportion, RoundRobinAndHighestAveragesValues) { EXPECT_EQ(ha(7, {1, 3, 3}), (std::vector{1, 3, 3})); } +// Highest averages with zero weights (pooled attribution divides by what each source holds, and a +// source can hold nothing): a zero weight gets nothing and all-zero weights give nothing. The +// contract's examples H-not-one-unit (not "within one unit of proportional"), H-local-bound and +// RR-local-bound, and H-bound-sweep: every total up to 24 over 1 to 4 members with weights 0 to 4, +// not all zero (19,400 cases), equals the sequential definition, and each member's rounding error +// against its proportional share is below k units (k members), below 1 for equal weights. +TEST(Apportion, HighestAveragesExamplesAndZeroWeights) { + EXPECT_EQ(ha(50, {100, 1, 1, 1}), (std::vector{50, 0, 0, 0})); + std::vector local(11, 1); + local[0] = 1000000; + std::vector want(11, 0); + want[0] = 1000000; + EXPECT_EQ(ha(1000000, local), want); + EXPECT_EQ(rr(10, 3), (std::vector{4, 3, 3})); + EXPECT_EQ(ha(3, {0, 2, 0, 1}), (std::vector{0, 2, 0, 1})); + EXPECT_EQ(ha(5, {0, 0}), (std::vector{0, 0})); + EXPECT_EQ(ha(0, {0, 0, 0}), (std::vector{0, 0, 0})); + int cases = 0; + for (std::size_t k = 1; k <= 4; ++k) { + std::vector w(k, 0); + for (;;) { + // The next weight vector (base 5 counter), all-zero skipped. + std::size_t i = 0; + while (i < k && w[i] == 4) w[i++] = 0; + if (i == k) break; + ++w[i]; + Amount sum = 0; + for (Amount x : w) sum += x; + const bool equal = std::all_of(w.begin(), w.end(), [&](Amount x) { return x == w[0]; }); + for (Amount total = 0; total <= 24; ++total) { + ++cases; + const auto got = ha(total, w); + ASSERT_EQ(got, ha_slow(total, w)) << total; + for (std::size_t j = 0; j < k; ++j) { + if (w[j] == 0) EXPECT_EQ(got[j], 0) << total; + // |got - total * w / sum| < bound, in integers: |got * sum - total * w| < bound * sum. + const Amount err = got[j] * sum - total * w[j]; + const Amount bound = (equal ? 1 : static_cast(k)) * sum; + EXPECT_LT(err < 0 ? -err : err, bound) << total << " member " << j; + } + } + } + } + EXPECT_EQ(cases, 19400); +} + // The callback form hands out the span form's shares (positive ones only, in index order) and // stops at the first share its callback refuses. TEST(Apportion, RoundRobinCallbackFormEqualsSpanFormAndStopsEarly) { @@ -913,7 +971,8 @@ TEST(Allocation, TMaxSearchIsExactAndWithinTheProbeBudgetOnLargeRanges) { // Reference: each node splits by exact quotient rank, then plain bisection over feasible // totals. No production allocation or search is used to compute an expected amount. Amount hi = 0; - for (auto k = plan.src_out_begin; k < plan.src_out_end; ++k) hi += vm[static_cast(k)]; + const auto root = static_cast(plan.root_pos.front()); + for (auto k = plan.out_begin[root]; k < plan.out_end[root]; ++k) hi += vm[static_cast(k)]; const Amount source_side = hi; ASSERT_EQ(plan.members, walk_members(g, all_ids(g), 0, {n - 1})); std::vector> arcs; @@ -1078,18 +1137,18 @@ std::vector certify_step(const Graph& g, const KernelPlan& plan, co bal[static_cast(g.edge_dst()[e])] += flow[e]; } const Int128 moment = flow_cost(g, flow); - const std::vector src = {plan.src}; + const std::vector src(plan.roots.begin(), plan.roots.end()); const std::vector dsts(plan.dsts.begin(), plan.dsts.end()); Int128 inflow = 0; for (std::size_t v = 0; v < n; ++v) { - if (static_cast(v) == plan.src) continue; + if (static_cast(v) == plan.roots.front()) continue; if (std::find(dsts.begin(), dsts.end(), static_cast(v)) != dsts.end()) { inflow += bal[v]; } else if (bal[v] != 0) { fails.push_back("conservation at node " + std::to_string(v)); } } - if (-bal[static_cast(plan.src)] != step.total || inflow != step.total) { + if (-bal[static_cast(plan.roots.front())] != step.total || inflow != step.total) { fails.push_back("value differs from supply or inflow"); } // The optimum's cost at every value up to F_max, as breakpoints. diff --git a/tests/cpp/pooled_origin_tests.cpp b/tests/cpp/pooled_origin_tests.cpp new file mode 100644 index 0000000..e141196 --- /dev/null +++ b/tests/cpp/pooled_origin_tests.cpp @@ -0,0 +1,1187 @@ +// One demand, several sources (docs/semantics.md, section 7): the configuration table and its +// error order, the pooled single-path rule, pooled CostOnly splitting (one split per shared +// router, attribution by highest averages, the equal origin's entry that cannot pass anything, +// Lossy forwarding through a source, weights frozen per epoch, the first-hop experiment), +// increments and zero calls, the controllers (Global and CostOnly MaxFlow) under both origins, +// min_cut as its own output, the result's accounting and per-source rows, the terminations and +// the evaluators. Each test checks the hand-derived values of the step's expected-result rows +// (LEDGER rows C, Q, P, I, M, G, S, T, V) on small graphs whose EdgeIds equal their input +// positions (asserted). The property tests check the controllers' certificates (conservation, +// maximality under the origin, no negative residual cycle) with an independent augmenting-path +// maximum flow and Bellman-Ford, and pooled records against their own routes; the pooled +// forwarding itself is compared with an independent reference in tests/py/test_pooled.py. +#include + +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/dag_cache.hpp" +#include "netgraph/core/detail/kernels.hpp" +#include "netgraph/core/evaluators.hpp" +#include "netgraph/core/flow_ledger.hpp" +#include "netgraph/core/flow_policy.hpp" +#include "test_utils.hpp" + +using namespace netgraph::core; +using namespace netgraph::core::test; + +namespace { + +using Drops = std::vector>; +using Counters = std::vector>; +using Row = std::array; // source, offered (-1: none), admitted, delivered, source loss, dropped + +constexpr Amount kNone = -1; + +Counter128 c(Amount x) { return Counter128 {0, static_cast(x)}; } +Amount lo(const Counter128& x) { + EXPECT_EQ(x.hi, 0U); + return static_cast(x.lo); +} +Amount lo(const std::optional& x) { return x.has_value() ? lo(*x) : kNone; } + +std::vector rows(const PlacementResult& r) { + std::vector out; + for (const auto& s : r.by_source) { + out.push_back({s.source, lo(s.offered), lo(s.admitted), s.delivered, lo(s.source_loss), lo(s.dropped)}); + } + return out; +} + +// A graph whose rows are already in EdgeId order (source, cost, destination, input). +std::shared_ptr ordered(std::int32_t n, const std::vector& rows) { + auto g = shared(make_graph(n, rows)); + for (std::size_t i = 0; i < rows.size(); ++i) EXPECT_EQ(g->input_index()[i], static_cast(i)); + return g; +} + +// The ledger's graphs: (u, v, capacity, cost) in EdgeId order. +const std::vector kPool = {{0, 2, 10, 1}, {1, 2, 10, 1}, {2, 3, 1, 1}, {2, 3, 1, 1}}; // {0, 1} -> 3 +const std::vector kB1 = {{0, 3, 2, 1}, {1, 2, 10, 1}, {2, 3, 10, 2}}; // {0, 1} -> 3 +const std::vector kB2 = {{0, 1, 4, 1}, {0, 2, 2, 1}, {1, 2, 10, 1}}; // {0, 1} -> 2 +const std::vector kB2S = {{0, 2, 2, 1}, {1, 2, 10, 1}}; // {0, 1} -> 2 +const std::vector kB3Z = {{0, 2, 0, 1}, {1, 2, 10, 1}}; // {0, 1} -> 2 +const std::vector kB3P = {{0, 2, 10, 1}, {1, 2, 0, 1}}; // {0, 1} -> 2 +const std::vector kES = {{0, 1, 10, 1}, {0, 2, 10, 1}, {1, 3, 2, 1}, {2, 3, 10, 2}}; // 0 -> 3 +const std::vector kR4 = {{0, 2, 2, 9}, {1, 2, 10, 1}}; // {0, 1} -> 2 +const std::vector kInc = {{0, 2, 1, 1}, {1, 2, 3, 1}}; // {0, 1} -> 2 +const std::vector kOne = {{0, 1, 10, 1}}; +const std::vector kRc = {{0, 1, 1, 1}, {0, 1, 1, 1}}; +const std::vector kPar = {{0, 1, 5, 1}, {0, 1, 8, 1}}; +const std::vector kChain = {{0, 2, 3, 1}, {1, 0, 10, 1}}; // {0, 1} -> 2, source 1 passes source 0 +const std::vector kSnap = {{0, 2, 10, 1}, {1, 2, 10, 1}, {2, 3, 10, 1}, {2, 3, 10, 1}}; // {0, 1} -> 3 +const std::vector kZero = {{0, 1, 0, 1}}; +const std::vector kSpf = {{0, 1, 0, 1}, {0, 2, 5, 1}, {2, 1, 5, 1}}; // 0 -> 1 +const std::vector kRows = {{0, 3, 5, 1}, {1, 2, 5, 1}, {4, 3, 5, 1}}; // {0, 1, 4} -> 3 +const std::vector kPriv = {{0, 2, 4, 1}, {1, 2, 6, 1}}; // {0, 1} -> 2 +const std::vector kWit = {{0, 1, 1, 1}, {0, 2, 1, 1}, {1, 0, 1, 1}}; // 0 -> 2 + +std::shared_ptr graph(const std::vector& edges) { + NodeId n = 0; + for (const auto& e : edges) n = std::max({n, e.u + 1, e.v + 1}); + return ordered(n, edges); +} + +PathSelection sel(EdgeTieBreak t = EdgeTieBreak::Deterministic, EdgePriority p = EdgePriority::Capacity, + bool multipath = true) { + return PathSelection(t, p, multipath, true); +} + +FlowPolicyConfig cost_only(FlowPlacement k = FlowPlacement::EqualBalanced, Admission a = Admission::Lossless, + std::optional s = std::nullopt, std::optional o = std::nullopt) { + return FlowPolicyConfig {CostOnly {}, k, a, s, o}; +} +FlowPolicyConfig glob(std::optional o = std::nullopt) { + return FlowPolicyConfig {.routing = Global {}, .origin = o}; +} + +const PathSelection kPreferPath = sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity, false); +const std::string kQ12 = "CostOnly with multiple input sources rejects multipath=false with PREFER_HIGHER_PRIORITY"; +const OutputOptions kEdges {true, false, false, false}; +const OutputOptions kCut {false, false, false, true}; +const OutputOptions kAll {true, true, true, true}; + +// A policy on a fresh ledger (an optional baseline residual) of its own graph. +struct Case { + std::shared_ptr g; + FlowLedger ledger; + std::optional mask; + std::unique_ptr p; + Case(const std::vector& edges, std::vector s, std::vector t, const FlowPolicyConfig& cfg, + std::vector xn = {}, std::vector residual = {}) + : g(graph(edges)), ledger(residual.empty() ? FlowLedger(g) : FlowLedger(g, residual)) { + if (!xn.empty()) mask = g->eligibility(xn, {}); + p = std::make_unique(ledger, s, t, cfg, mask ? &*mask : nullptr); + } + PlacementResult place(std::optional v, const OutputOptions& o = {}) { return p->place(v, o); } + std::vector>, Amount>> records() const { + std::vector>, Amount>> out; + for (const auto& r : p->records()) out.emplace_back(r.edges, r.delivered); + return out; + } +}; + +std::string construct_error(const std::vector& edges, std::vector s, std::vector t, + const FlowPolicyConfig& cfg, std::vector xn = {}) { + auto g = graph(edges); + FlowLedger fg(g); + const auto mask = g->eligibility(xn, {}); + return error_of([&] { FlowPolicy p(fg, s, t, cfg, xn.empty() ? nullptr : &mask); }); +} + +} // namespace + +// ---------------------------------------------------------------- configuration (C rows) + +// C4 to C12: each defect's text, at a policy and at capacity(). +TEST(ConfigOrigin, MatrixTexts) { + const std::vector> rows = { + {FlowPolicyConfig {.routing = CostOnly {}}, "CostOnly requires placement"}, + {FlowPolicyConfig {.routing = Global {}, .placement = FlowPlacement::MaxFlow}, "Global does not accept placement"}, + {FlowPolicyConfig {.routing = Global {}, .selection = PathSelection()}, "Global does not accept selection"}, + {cost_only(FlowPlacement::EqualBalanced, Admission::Lossless, std::nullopt, Origin::Optimized), + "CostOnly with EQUAL_BALANCED or WEIGHTED requires origin=EQUAL"}, + {cost_only(FlowPlacement::Weighted, Admission::Lossless, std::nullopt, Origin::Optimized), + "CostOnly with EQUAL_BALANCED or WEIGHTED requires origin=EQUAL"}, + {cost_only(FlowPlacement::MaxFlow, Admission::Lossy), "MAX_FLOW requires admission=LOSSLESS"}, + {FlowPolicyConfig {.routing = Global {}, .admission = Admission::Lossy}, "MAX_FLOW requires admission=LOSSLESS"}, + {FlowPolicyConfig {.routing = CapacityAware {}, .placement = FlowPlacement::MaxFlow, .origin = Origin::Optimized}, + "T1 requires origin=EQUAL"}, + {FlowPolicyConfig {.routing = CapacityAware {}}, "CapacityAware requires placement"}, + {FlowPolicyConfig {.routing = CapacityAware {}, .placement = FlowPlacement::EqualBalanced, + .admission = Admission::Lossy}, + "CapacityAware requires admission=LOSSLESS"}, + }; + const auto g = graph(kB1); + for (const auto& [cfg, text] : rows) { + EXPECT_EQ(construct_error(kB1, {0, 1}, {3}, cfg), text); + EXPECT_EQ(error_of([&] { (void)capacity(*g, v({0, 1}), v({3}), QueryOptions {cfg}); }), text); + } + // C10, C12 and C8 for Pinned. + Pinned pin; + pin.bundles = {dag_of(*g, {0})}; + EXPECT_EQ(construct_error(kB1, {0}, {3}, FlowPolicyConfig {pin, FlowPlacement::MaxFlow, Admission::Lossless, + std::nullopt, Origin::Equal}), + "Pinned does not accept origin"); + EXPECT_EQ(construct_error(kB1, {0}, {3}, FlowPolicyConfig {.routing = pin}), "Pinned requires placement"); + EXPECT_EQ(construct_error(kB1, {0}, {3}, FlowPolicyConfig {pin, FlowPlacement::MaxFlow, Admission::Lossy}), + "MAX_FLOW requires admission=LOSSLESS"); + // C11: only CostOnly reads a cache (policy and evaluators). + DagCache cache(*g); + FlowLedger fg(g); + const std::vector, std::string>> cached = { + {glob(), {0, 1}, "Global does not use DagCache"}, + {FlowPolicyConfig {.routing = CapacityAware {}, .placement = FlowPlacement::MaxFlow}, {0, 1}, + "T1 does not use DagCache"}, + {FlowPolicyConfig {.routing = pin, .placement = FlowPlacement::MaxFlow}, {0}, "Pinned does not use DagCache"}, + }; + for (const auto& [cfg, s, text] : cached) { + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, s, v({3}), cfg, nullptr, &cache); }), text); + EXPECT_EQ(error_of([&] { (void)capacity(*g, s, v({3}), QueryOptions {cfg, nullptr, &cache}); }), text); + EXPECT_EQ(error_of([&] { (void)sensitivity(*g, s, v({3}), QueryOptions {cfg, nullptr, &cache}, 1); }), text); + } + EXPECT_EQ(cache.stats().misses + cache.stats().hits, 0); +} + +// C13, C14, C16, Q6: the row, then the columns placement, origin, admission, selection; the table +// before the cache check. +TEST(ConfigOrigin, MatrixOrder) { + EXPECT_EQ(construct_error(kB1, {0, 1}, {3}, + FlowPolicyConfig {Global {}, FlowPlacement::MaxFlow, Admission::Lossy, PathSelection()}), + "Global does not accept placement"); + EXPECT_EQ(construct_error(kB1, {0, 1}, {3}, + FlowPolicyConfig {Global {}, std::nullopt, Admission::Lossy, PathSelection(), Origin::Equal}), + "MAX_FLOW requires admission=LOSSLESS"); + EXPECT_EQ(construct_error(kPool, {0, 1}, {3}, + cost_only(FlowPlacement::EqualBalanced, Admission::Lossless, kPreferPath, Origin::Optimized)), + "CostOnly with EQUAL_BALANCED or WEIGHTED requires origin=EQUAL"); + const auto g = graph(kB1); + DagCache cache(*g); + FlowLedger fg(g); + EXPECT_EQ(error_of([&] { + FlowPolicy p(fg, v({0, 1}), v({3}), FlowPolicyConfig {.routing = Global {}, .placement = FlowPlacement::MaxFlow}, + nullptr, &cache); + }), + "Global does not accept placement"); +} + +// C15: the endpoints come before the ownership of the mask. +TEST(ConfigOrigin, EndpointsBeforeOwnership) { + const auto g = graph(kB1); + const auto other = graph(kB1); + const auto foreign = other->eligibility(v({0}), {}); + FlowLedger fg(g); + const auto text = error_of([&] { FlowPolicy p(fg, std::vector {}, v({3}), glob(), &foreign); }); + EXPECT_FALSE(text.empty()); + EXPECT_FALSE(contains(text, "foreign")) << text; +} + +// C19: finite after infinite, place(0) included, until remove(). +TEST(ConfigOrigin, FiniteAfterInfinite) { + for (const auto& cfg : {cost_only(), glob(), cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)}) { + Case k(kOne, {0}, {1}, cfg); + (void)k.place(std::nullopt); + for (Amount x : {Amount {1}, Amount {0}}) { + EXPECT_EQ(error_of([&] { (void)k.place(x); }), "finite placement after infinite placement requires a new epoch"); + } + k.p->remove(); + EXPECT_EQ(k.place(1).placed, 1); + } +} + +// ---------------------------------------------------------------- the pooled single-path rule (Q rows) + +// Q1 to Q4: two normalized input sources (also when a mask leaves one) reject PreferHigherPriority +// single paths for every kernel; one source and multipath are accepted. +TEST(PooledSinglePath, Rejected) { + for (auto k : {FlowPlacement::EqualBalanced, FlowPlacement::Weighted, FlowPlacement::MaxFlow}) { + EXPECT_EQ(construct_error(kPool, {0, 1}, {3}, cost_only(k, Admission::Lossless, kPreferPath)), kQ12); + EXPECT_EQ(construct_error(kPool, {0, 1}, {3}, cost_only(k, Admission::Lossless, kPreferPath), {1}), kQ12); + EXPECT_EQ(construct_error(kPool, {0, 0}, {3}, cost_only(k, Admission::Lossless, kPreferPath)), ""); + EXPECT_EQ(construct_error(kPool, {0, 1}, {3}, + cost_only(k, Admission::Lossless, sel(EdgeTieBreak::PreferHigherPriority))), + ""); + } +} + +// Q5: DETERMINISTIC single paths pool: 0: [e0, e2], 1: [e1, e2] (equal cost and hops: e2). +TEST(PooledSinglePath, DeterministicPaths) { + const auto det = sel(EdgeTieBreak::Deterministic, EdgePriority::Capacity, false); + Case k(kPool, {0, 1}, {3}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossless, det)); + const auto r = k.place(std::nullopt); + EXPECT_EQ(r.placed, 1); + EXPECT_EQ(rows(r), (std::vector {{0, kNone, 1, 1, 0, 0}, {1, kNone, 0, 0, 0, 0}})); + Case lossy(kPool, {0, 1}, {3}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy, det)); + const auto l = lossy.place(2); + EXPECT_EQ(l.placed, 1); + EXPECT_EQ(l.call_drops, (Drops {{2, 1}})); + EXPECT_EQ(rows(l), (std::vector {{0, 1, 1, 1, 0, 0}, {1, 1, 1, 0, 0, 1}})); + const auto recs = lossy.p->records(); + ASSERT_EQ(recs.size(), 2U); + EXPECT_EQ(ascending_edges(*recs[0].bundle), (std::vector {0, 2})); + EXPECT_EQ(ascending_edges(*recs[1].bundle), (std::vector {1, 2})); +} + +// ---------------------------------------------------------------- pooled CostOnly (P rows) + +// P1 to P3 (B-pooled): one split at the shared router, attributed member by member. +TEST(Pooled, SharedRouterSplitsOnce) { + Case k(kPool, {0, 1}, {3}, cost_only()); + const auto r = k.place(2, kEdges); + EXPECT_EQ(r.placed, 2); + EXPECT_EQ(r.termination, Termination::Complete); + EXPECT_EQ(*r.edge_flows, (std::vector {1, 1, 1, 1})); + EXPECT_EQ(rows(r), (std::vector {{0, kNone, 1, 1, 0, 0}, {1, kNone, 1, 1, 0, 0}})); + EXPECT_EQ(k.records(), (decltype(k.records()) {{{{0, 1}, {2, 1}}, 1}, {{{1, 1}, {3, 1}}, 1}})); + Case inf(kPool, {0, 1}, {3}, cost_only()); + const auto i = inf.place(std::nullopt); + EXPECT_EQ(i.placed, 2); + EXPECT_EQ(i.termination, Termination::Exhausted); + EXPECT_FALSE(i.requested.has_value()); + EXPECT_FALSE(i.unadmitted.has_value()); + EXPECT_FALSE(i.remaining.has_value()); + Case w(kPool, {0, 1}, {3}, cost_only(FlowPlacement::Weighted)); + EXPECT_EQ(w.place(2).placed, 2); +} + +// P4: each member's arrivals divided by what each source brought. +TEST(Pooled, LossyAttributionByArrivals) { + Case k(kPool, {0, 1}, {3}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)); + const auto r = k.place(4); + EXPECT_EQ(r.placed, 2); + EXPECT_EQ(r.call_drops, (Drops {{2, 1}, {3, 1}})); + EXPECT_EQ(rows(r), (std::vector {{0, 2, 2, 2, 0, 0}, {1, 2, 2, 0, 0, 2}})); + for (const auto& rec : k.p->records()) expect_conserved(*k.g, rec, "P4"); +} + +// P5 to P7, P9 (B3-zero-first, B3-positive-first): Lossless admits only totals that give the +// source behind the zero edge nothing; Lossy drops its share on that edge. +TEST(Pooled, EqualEntryThatCannotPass) { + for (const auto& [edges, want] : {std::pair {kB3Z, Amount {0}}, std::pair {kB3P, Amount {1}}}) { + Case eb(edges, {0, 1}, {2}, cost_only()); + const auto r = eb.place(10); + EXPECT_EQ(r.placed, want); + EXPECT_EQ(r.termination, Termination::Exhausted); + EXPECT_EQ(eb.p->records().size(), 2U); + Case w(edges, {0, 1}, {2}, cost_only(FlowPlacement::Weighted)); + EXPECT_EQ(w.place(10).placed, want); + } + Case lossy(kB3Z, {0, 1}, {2}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)); + const auto l = lossy.place(10); + EXPECT_EQ(l.placed, 5); + EXPECT_EQ(l.call_drops, (Drops {{0, 5}})); + EXPECT_EQ(l.call_source_loss, 0); + EXPECT_EQ(l.termination, Termination::Complete); +} + +// P8: Weighted gives the zero edge weight 0; source 0's share has no member and is source loss. +TEST(Pooled, WeightedZeroRouteIsSourceLoss) { + Case k(kB3Z, {0, 1}, {2}, cost_only(FlowPlacement::Weighted, Admission::Lossy)); + const auto r = k.place(10); + EXPECT_EQ(r.placed, 5); + EXPECT_EQ(r.termination, Termination::Complete); + EXPECT_TRUE(r.call_drops.empty()); + EXPECT_EQ(r.call_source_loss, 5); + EXPECT_EQ(lo(r.source_loss), 5); + EXPECT_EQ(rows(r), (std::vector {{0, 5, 5, 0, 5, 0}, {1, 5, 5, 5, 0, 0}})); +} + +// P10, P11 on B1. +TEST(Pooled, EqualOriginLimitsTheTotal) { + Case k(kB1, {0, 1}, {3}, cost_only()); + const auto r = k.place(12); + EXPECT_EQ(r.placed, 4); + EXPECT_EQ(r.termination, Termination::Exhausted); + EXPECT_EQ(rows(r), (std::vector {{0, kNone, 2, 2, 0, 0}, {1, kNone, 2, 2, 0, 0}})); + Case lossy(kB1, {0, 1}, {3}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)); + const auto l = lossy.place(12); + EXPECT_EQ(l.placed, 8); + EXPECT_EQ(l.call_drops, (Drops {{0, 4}})); +} + +// P12, P13, P17 on CHAIN: source 1's traffic passes source 0's router. +TEST(Pooled, TransitThroughASource) { + Case k(kChain, {0, 1}, {2}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)); + const auto r = k.place(10); + EXPECT_EQ(r.placed, 3); + EXPECT_EQ(r.call_drops, (Drops {{0, 7}})); + EXPECT_EQ(rows(r), (std::vector {{0, 5, 5, 2, 0, 3}, {1, 5, 5, 1, 0, 4}})); + EXPECT_EQ(k.records(), (decltype(k.records()) {{{{0, 2}}, 2}, {{{0, 1}, {1, 5}}, 1}})); + for (const auto& rec : k.p->records()) expect_conserved(*k.g, rec, "P12"); + Case lossless(kChain, {0, 1}, {2}, cost_only()); + const auto l = lossless.place(std::nullopt); + EXPECT_EQ(l.placed, 3); + EXPECT_EQ(rows(l), (std::vector {{0, kNone, 2, 2, 0, 0}, {1, kNone, 1, 1, 0, 0}})); + Case hop(kChain, {0, 1}, {2}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)); + const auto h = hop.place(std::nullopt); + EXPECT_EQ(h.placed, 3); + EXPECT_EQ(h.termination, Termination::Exhausted); + EXPECT_EQ(lo(h.offered), 13); + EXPECT_EQ(h.drops, (Counters {{0, c(10)}})); + EXPECT_EQ(rows(h), (std::vector {{0, 3, 3, 0, 0, 3}, {1, 10, 10, 3, 0, 7}})); +} + +// P14: Residual weights read once, on the residual at the first positive call's entry. +TEST(Pooled, ResidualWeightsOnTheCommonView) { + Case k(kSnap, {0, 1}, {3}, cost_only(FlowPlacement::Weighted, Admission::Lossless, sel(EdgeTieBreak::Deterministic, EdgePriority::Residual)), + {}, {10, 10, 2, 10}); + const auto r = k.place(std::nullopt); + EXPECT_EQ(r.placed, 12); + EXPECT_EQ(k.records(), (decltype(k.records()) {{{{0, 6}, {2, 1}, {3, 5}}, 6}, {{{1, 6}, {2, 1}, {3, 5}}, 6}})); +} + +// P15: the weights stay frozen for the epoch after the other owner leaves. +TEST(Pooled, WeightsFrozenForTheEpoch) { + const auto g = graph(kSnap); + FlowLedger fg(g); + Pinned pin; + pin.bundles = {dag_of(*g, {2})}; + auto other = std::make_unique(fg, v({2}), v({3}), FlowPolicyConfig {.routing = pin, .placement = FlowPlacement::EqualBalanced}); + EXPECT_EQ(other->place(8).placed, 8); + FlowPolicy p(fg, v({0, 1}), v({3}), + cost_only(FlowPlacement::Weighted, Admission::Lossless, sel(EdgeTieBreak::Deterministic, EdgePriority::Residual))); + EXPECT_EQ(p.place(2).placed, 2); + other->remove(); + const auto r = p.place(10, kEdges); + EXPECT_EQ(r.placed, 10); + EXPECT_EQ(*r.edge_flows, (std::vector {6, 6, 2, 10})); +} + +// P16: the first-hop experiment. +TEST(Pooled, FirstHopExperiment) { + Case k(kPriv, {0, 1}, {2}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)); + const auto r = k.place(std::nullopt); + EXPECT_EQ(r.placed, 10); + EXPECT_EQ(lo(r.offered), 10); + EXPECT_FALSE(r.requested.has_value()); + EXPECT_EQ(r.termination, Termination::Exhausted); +} + +// P18, P19 (properties): on random graphs with several sources, masks, zero capacities and dispersed +// costs, every pooled record (EB and W, both admissions, multipath or deterministic single paths) +// carries and drops only on its own route, conserves its traffic, and the rows sum to the totals +// with the accounting identities; the ledger stays within the capacities. +TEST(Pooled, RecordsStayOnTheirRoutesAndAccountExactly) { + std::mt19937 rng(20261018); + auto pick = [&](int n) { return static_cast(rng() % static_cast(n)); }; + int multi = 0, carrying = 0; + for (int trial = 0; trial < 300; ++trial) { + const int n = 4 + pick(5); + std::vector es; + for (int k = 0, m = n + pick(2 * n); k < m; ++k) { + const NodeId u = pick(n); + const NodeId w = pick(3) == 0 ? n - 1 : pick(n); + if (u != w) es.push_back({u, w, pick(4) == 0 ? 0 : 1 + pick(6), static_cast(1 + pick(3))}); + } + if (es.empty()) es.push_back({0, n - 1, 1, 1}); + auto g = shared(make_graph(n, es)); + std::vector s = {0, 1}; + if (pick(2) == 0) s.push_back(2); + const std::vector t = {static_cast(n - 1)}; + const auto mask = g->eligibility(pick(3) == 0 ? v({static_cast(3)}) : std::vector {}, + pick(3) == 0 ? std::vector {static_cast(pick(g->num_edges()))} + : std::vector {}); + const auto k = pick(2) == 0 ? FlowPlacement::EqualBalanced : FlowPlacement::Weighted; + const auto a = pick(2) == 0 ? Admission::Lossless : Admission::Lossy; + const auto prio = pick(2) == 0 ? EdgePriority::Capacity : EdgePriority::Residual; + const auto selection = sel(EdgeTieBreak::Deterministic, prio, pick(3) != 0); + FlowLedger fg(g); + FlowPolicy p(fg, s, t, cost_only(k, a, selection), &mask); + const std::string where = "trial " + std::to_string(trial); + for (int call = 0, calls = 1 + pick(3); call < calls; ++call) { + const std::optional vol = pick(5) == 0 && call == calls - 1 ? std::nullopt : std::optional {pick(9)}; + const auto r = p.place(vol); + Amount admitted = 0, delivered = 0, loss = 0, dropped = 0; + for (const auto& row : r.by_source) { + admitted += lo(row.admitted); + delivered += row.delivered; + loss += lo(row.source_loss); + dropped += lo(row.dropped); + } + Amount drops = 0; + for (const auto& [e, x] : r.drops) drops += lo(x); + const bool empty = fg.records().empty(); + if (!empty || a == Admission::Lossless) { + EXPECT_EQ(admitted, lo(r.admitted)) << where; + EXPECT_EQ(loss, lo(r.source_loss)) << where; + } + EXPECT_EQ(delivered, r.delivered) << where; + EXPECT_EQ(dropped, drops) << where; + if (a == Admission::Lossy) { + EXPECT_EQ(lo(r.offered), lo(r.source_loss) + drops + r.delivered) << where; + EXPECT_EQ(lo(r.unadmitted), 0) << where; + } else if (r.requested.has_value()) { + EXPECT_EQ(lo(r.requested), lo(r.unadmitted) + r.delivered) << where; + } + EXPECT_EQ(r.delivery_delta, r.placed) << where; + for (const auto& rec : p.records()) { + const auto route = ascending_edges(*rec.bundle); + for (const auto& [e, x] : rec.edges) { + EXPECT_TRUE(std::binary_search(route.begin(), route.end(), e)) << where << " edge " << e; + } + for (const auto& [e, x] : rec.drops) { + EXPECT_TRUE(std::binary_search(route.begin(), route.end(), e)) << where << " drop " << e; + } + if (expect_conserved(*g, rec, where)) ++carrying; + } + const auto alloc = fg.allocated(); + for (EdgeId e = 0; e < g->num_edges(); ++e) { + EXPECT_LE(alloc[static_cast(e)], g->capacity_units()[static_cast(e)]) << where; + } + if (!vol.has_value()) break; + } + if (p.records().size() > 1) ++multi; + } + EXPECT_GT(multi, 100); + EXPECT_GT(carrying, 200); +} + +// ---------------------------------------------------------------- increments and zero calls (I rows) + +// I1 to I4. +TEST(Increments, LosslessRefusedUnitsStayRefused) { + Case k(kInc, {0, 1}, {2}, cost_only()); + const auto a = k.place(3); + const auto b = k.place(1); + EXPECT_EQ(a.placed, 2); + EXPECT_EQ(b.placed, 0); + EXPECT_EQ(b.termination, Termination::Exhausted); + EXPECT_EQ(lo(b.requested), 4); + EXPECT_EQ(lo(b.admitted), 2); + EXPECT_EQ(lo(b.unadmitted), 2); + EXPECT_FALSE(b.offered.has_value()); + Case lossy(kInc, {0, 1}, {2}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)); + const auto la = lossy.place(3); + const auto lb = lossy.place(1); + EXPECT_EQ(la.placed, 2); + EXPECT_EQ(la.call_drops, (Drops {{0, 1}})); + EXPECT_EQ(lb.placed, 1); + EXPECT_TRUE(lb.call_drops.empty()); + EXPECT_EQ(lb.drops, (Counters {{0, c(1)}})); + EXPECT_EQ(lo(lb.offered), 4); + EXPECT_EQ(lb.delivered, 3); + EXPECT_EQ(rows(lb), (std::vector {{0, 2, 2, 1, 0, 1}, {1, 2, 2, 2, 0, 0}})); + // I3: another owner holds 8, leaves, places 5. + const auto g = graph(kOne); + FlowLedger fg(g); + FlowPolicy other(fg, v({0}), v({1}), cost_only()); + (void)other.place(8); + FlowPolicy p(fg, v({0}), v({1}), cost_only()); + EXPECT_EQ(p.place(5).placed, 2); + other.remove(); + (void)other.place(5); + const auto r = p.place(1); + EXPECT_EQ(r.placed, 1); + EXPECT_EQ(lo(r.requested), 6); + EXPECT_EQ(lo(r.unadmitted), 3); + // I4. + Case rc(kRc, {0}, {1}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)); + EXPECT_EQ(rc.place(1).placed, 1); + EXPECT_EQ(rc.place(1).placed, 0); + Case rc2(kRc, {0}, {1}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)); + EXPECT_EQ(rc2.place(2).placed, 2); + Case rc3(kRc, {0}, {1}, cost_only()); + EXPECT_EQ(rc3.place(1).placed, 1); + EXPECT_EQ(*rc3.place(1, kEdges).edge_flows, (std::vector {1, 1})); +} + +// I5, I6 (RC02-zero-unprepared): a zero call before preparation, after a positive call, after +// remove(). +TEST(Epochs, ZeroCallBeforePreparation) { + for (const bool global : {false, true}) { + Case k(kPar, {0}, {1}, global ? glob() : cost_only(), {}, {4, 6}); + auto unprepared = [&](const PlacementResult& r) { + EXPECT_EQ(r.placed, 0); + EXPECT_EQ(r.remaining, 0); + EXPECT_EQ(r.delivery_delta, 0); + EXPECT_TRUE(r.call_drops.empty()); + EXPECT_EQ(r.call_source_loss, 0); + EXPECT_EQ(r.termination, Termination::Complete); + EXPECT_FALSE(r.routes_changed || r.weights_changed); + EXPECT_EQ(*r.edge_flows, (std::vector {0, 0})); + EXPECT_EQ(*r.residual, (std::vector {4, 6})); + EXPECT_FALSE(r.min_cut.has_value()); + EXPECT_FALSE(r.cost_distribution.has_value()); + EXPECT_EQ(lo(r.requested), 0); + EXPECT_EQ(rows(r), (std::vector {{0, kNone, 0, 0, 0, 0}})); + EXPECT_EQ(r.total_cost.has_value(), global); + if (global) EXPECT_EQ(*r.total_cost, c(0)); + EXPECT_TRUE(k.p->records().empty()); + }; + unprepared(k.place(0, kAll)); + (void)k.place(3); + const auto z = k.place(0, kAll); + EXPECT_EQ(z.delivered, 3); + EXPECT_FALSE(z.routes_changed); + if (global) EXPECT_EQ(*z.cost_distribution, (std::vector> {{1, 3}})); + k.p->remove(); + unprepared(k.place(0, kAll)); + } +} + +// ---------------------------------------------------------------- the controllers (M, G rows) + +// M1 to M7: one controller on the union of the sources' shortest routes. +TEST(CostOnlyMaxFlow, OptimizedPoolsTheRoster) { + struct Want { + std::vector edges; + std::vector s; + NodeId t; + std::optional origin; + Amount request, placed, cost; + std::vector>> records; + }; + const std::vector wants = { + {kB1, {0, 1}, 3, std::nullopt, 12, 12, 32, {{{0, 2}}, {{1, 10}, {2, 10}}}}, + {kB1, {0, 1}, 3, Origin::Equal, 12, 4, 8, {{{0, 2}}, {{1, 2}, {2, 2}}}}, + {kB2, {0, 1}, 2, Origin::Equal, 12, 4, 4, {{{1, 2}}, {{2, 2}}}}, + {kB2, {0, 1}, 2, Origin::Optimized, 12, 12, 12, {{{1, 2}}, {{2, 10}}}}, + {kES, {0}, 3, std::nullopt, 12, 2, 4, {{{0, 2}, {2, 2}}}}, + {kSpf, {0}, 1, std::nullopt, 5, 0, 0, {{}}}, + }; + for (const auto& w : wants) { + Case k(w.edges, w.s, {w.t}, cost_only(FlowPlacement::MaxFlow, Admission::Lossless, std::nullopt, w.origin)); + const auto r = k.place(w.request, kCut); + EXPECT_EQ(r.placed, w.placed); + EXPECT_EQ(r.termination, w.placed == w.request ? Termination::Complete : Termination::Exhausted); + EXPECT_EQ(*r.total_cost, c(w.cost)); + EXPECT_FALSE(r.cost_distribution.has_value()); + EXPECT_FALSE(r.min_cut.has_value()); + std::vector>> got; + for (const auto& rec : k.p->records()) got.push_back(rec.edges); + EXPECT_EQ(got, w.records); + } + // M6. + Case r4(kR4, {0, 1}, {2}, cost_only(FlowPlacement::MaxFlow, Admission::Lossless, std::nullopt, Origin::Equal)); + EXPECT_EQ(r4.place(3).placed, 3); + EXPECT_EQ(r4.place(3).placed, 1); + EXPECT_EQ(*r4.place(0).total_cost, c(20)); +} + +// G1 to G7, G11. +TEST(GlobalEqual, Examples) { + struct Want { + std::vector edges; + std::vector s; + NodeId t; + Origin origin; + Amount request, placed, cost; + std::vector flows; + }; + const std::vector wants = { + {kB1, {0, 1}, 3, Origin::Equal, 12, 4, 8, {2, 2, 2}}, + {kB1, {0, 1}, 3, Origin::Optimized, 12, 12, 32, {2, 10, 10}}, + {kB2, {0, 1}, 2, Origin::Equal, 12, 12, 16, {4, 2, 10}}, + {kB2, {0, 1}, 2, Origin::Optimized, 12, 12, 12, {0, 2, 10}}, + {kB2S, {0, 1}, 2, Origin::Equal, 12, 4, 4, {2, 2}}, + {kB2S, {0, 1}, 2, Origin::Optimized, 12, 12, 12, {2, 10}}, + {kB3Z, {0, 1}, 2, Origin::Equal, 10, 0, 0, {0, 0}}, + {kB3P, {0, 1}, 2, Origin::Equal, 10, 1, 1, {1, 0}}, + {kB3Z, {0, 1}, 2, Origin::Optimized, 10, 10, 10, {0, 10}}, + {kES, {0}, 3, Origin::Optimized, 12, 12, 34, {2, 10, 2, 10}}, + {kWit, {0}, 2, Origin::Optimized, 1, 1, 1, {0, 1, 0}}, + }; + for (const auto& w : wants) { + Case k(w.edges, w.s, {w.t}, glob(w.origin)); + const auto r = k.place(w.request, kEdges); + EXPECT_EQ(r.placed, w.placed); + EXPECT_EQ(r.remaining, w.request - w.placed); + EXPECT_EQ(r.termination, w.placed == w.request ? Termination::Complete : Termination::Exhausted); + EXPECT_EQ(*r.total_cost, c(w.cost)); + EXPECT_EQ(*r.edge_flows, w.flows); + EXPECT_EQ(r.cost_distribution.has_value(), w.origin == Origin::Optimized); + } + // G3: source 0's 6 is 2 direct and 4 through node 1. + Case b2(kB2, {0, 1}, {2}, glob(Origin::Equal)); + (void)b2.place(12); + EXPECT_EQ(b2.records(), (decltype(b2.records()) {{{{0, 4}, {1, 2}, {2, 4}}, 6}, {{{2, 6}}, 6}})); + // G6 B3-delete-zero. + Case masked(kB3Z, {0, 1}, {2}, glob(Origin::Equal), {0}); + EXPECT_EQ(masked.place(10).placed, 10); +} + +// G8 to G10. +TEST(GlobalEqual, Increments) { + Case k(kR4, {0, 1}, {2}, glob(Origin::Equal)); + const auto a = k.place(3); + const auto b = k.place(3, kEdges); + EXPECT_EQ(a.placed, 3); + EXPECT_EQ(a.termination, Termination::Complete); + EXPECT_EQ(b.placed, 1); + EXPECT_EQ(b.termination, Termination::Exhausted); + EXPECT_EQ(*b.edge_flows, (std::vector {2, 2})); + EXPECT_EQ(*b.total_cost, c(20)); + EXPECT_EQ(lo(b.requested), 6); + EXPECT_EQ(lo(b.unadmitted), 2); + const auto g = graph(kOne); + FlowLedger fg(g); + FlowPolicy other(fg, v({0}), v({1}), cost_only()); + (void)other.place(8); + FlowPolicy p(fg, v({0}), v({1}), glob()); + EXPECT_EQ(p.place(5).placed, 2); + other.remove(); + (void)other.place(5); + EXPECT_EQ(p.place(1).placed, 1); + Case one(kB2, {0, 1}, {2}, glob(Origin::Equal)); + const auto whole = one.place(12, kEdges); + Case two(kB2, {0, 1}, {2}, glob(Origin::Equal)); + (void)two.place(6); + const auto split = two.place(6, kEdges); + EXPECT_EQ(*split.edge_flows, *whole.edge_flows); + EXPECT_EQ(*split.total_cost, *whole.total_cost); + EXPECT_EQ(two.records(), one.records()); +} + +namespace { + +// Independent maximum flow (augmenting paths found by BFS) from a virtual root with an arc of +// capacity caps[i] (nullopt: unbounded) to roots[i], to a virtual sink fed by every destination, +// over the edges with `allowed`. +Amount max_flow(const Graph& g, const std::vector& view, const std::vector& allowed, + const std::vector& roots, const std::vector>& caps, + const std::vector& dsts) { + struct Arc { + std::size_t u, v; + Amount cap, flow; + }; + const auto n = static_cast(g.num_nodes()); + const std::size_t root = n, sink = n + 1; + Amount big = 1; + for (Amount x : view) big += x; + std::vector arcs; + for (std::size_t e = 0; e < view.size(); ++e) { + if (allowed[e]) arcs.push_back({static_cast(g.edge_src()[e]), static_cast(g.edge_dst()[e]), view[e], 0}); + } + for (std::size_t i = 0; i < roots.size(); ++i) arcs.push_back({root, static_cast(roots[i]), caps[i].value_or(big), 0}); + for (NodeId d : dsts) arcs.push_back({static_cast(d), sink, big, 0}); + Amount total = 0; + for (;;) { + std::vector> parent(n + 2, {SIZE_MAX, 0}); + std::vector seen(n + 2, 0); + std::vector queue = {root}; + seen[root] = 1; + for (std::size_t qi = 0; qi < queue.size(); ++qi) { + const std::size_t u = queue[qi]; + for (std::size_t i = 0; i < arcs.size(); ++i) { + if (arcs[i].u == u && arcs[i].flow < arcs[i].cap && !seen[arcs[i].v]) { + seen[arcs[i].v] = 1; + parent[arcs[i].v] = {i, 1}; + queue.push_back(arcs[i].v); + } + if (arcs[i].v == u && arcs[i].flow > 0 && !seen[arcs[i].u]) { + seen[arcs[i].u] = 1; + parent[arcs[i].u] = {i, -1}; + queue.push_back(arcs[i].u); + } + } + } + if (!seen[sink]) return total; + Amount amount = big; + for (std::size_t x = sink; x != root;) { + const auto [i, d] = parent[x]; + amount = std::min(amount, d == 1 ? arcs[i].cap - arcs[i].flow : arcs[i].flow); + x = d == 1 ? arcs[i].u : arcs[i].v; + } + for (std::size_t x = sink; x != root;) { + const auto [i, d] = parent[x]; + arcs[i].flow += d * amount; + x = d == 1 ? arcs[i].u : arcs[i].v; + } + total += amount; + } +} + +// Whether the residual graph of `flows` on the allowed edges, with a virtual sink fed by every +// destination (and arcs back to a destination that receives) and, when `free_supply`, a virtual +// root with arcs to every root (and back from a root that sends), has a negative-cost cycle +// (Bellman-Ford from a virtual start joined to every node). +bool negative_cycle(const Graph& g, const std::vector& view, const std::vector& allowed, + const std::vector& flows, const std::vector& roots, + const std::vector& supply, const std::vector& dsts, + const std::vector& inflow, bool free_supply) { + struct Arc { + std::size_t u, v; + Int128 w; + }; + const auto n = static_cast(g.num_nodes()); + const std::size_t root = n, sink = n + 1; + std::vector arcs; + for (std::size_t e = 0; e < view.size(); ++e) { + if (!allowed[e]) continue; + const auto u = static_cast(g.edge_src()[e]); + const auto w = static_cast(g.edge_dst()[e]); + if (flows[e] < view[e]) arcs.push_back({u, w, g.cost()[e]}); + if (flows[e] > 0) arcs.push_back({w, u, -static_cast(g.cost()[e])}); + } + for (std::size_t i = 0; i < dsts.size(); ++i) { + arcs.push_back({static_cast(dsts[i]), sink, 0}); + if (inflow[i] > 0) arcs.push_back({sink, static_cast(dsts[i]), 0}); + } + if (free_supply) { + for (std::size_t i = 0; i < roots.size(); ++i) { + arcs.push_back({root, static_cast(roots[i]), 0}); + if (supply[i] > 0) arcs.push_back({static_cast(roots[i]), root, 0}); + } + } + std::vector dist(n + 2, 0); + for (std::size_t round = 0; round <= n + 2; ++round) { + bool changed = false; + for (const auto& a : arcs) { + if (dist[a.u] + a.w < dist[a.v]) { + dist[a.v] = dist[a.u] + a.w; + changed = true; + } + } + if (!changed) return false; + } + return true; +} + +// The roster (sources that reach a destination over allowed nodes and edges, capacity-blind) and +// the static distance to the destinations, by Bellman-Ford. +std::vector> distances(const Graph& g, const std::vector& dsts, const Eligibility* elig) { + const auto n = static_cast(g.num_nodes()); + std::vector> d(n); + auto node_ok = [&](NodeId x) { return elig == nullptr || elig->node_ok(x); }; + const std::set D(dsts.begin(), dsts.end()); + for (NodeId t : dsts) { + if (node_ok(t)) d[static_cast(t)] = 0; + } + for (std::size_t round = 0; round < n; ++round) { + for (EdgeId e = 0; e < g.num_edges(); ++e) { + const NodeId u = g.edge_src()[static_cast(e)]; + const NodeId w = g.edge_dst()[static_cast(e)]; + if ((elig != nullptr && !elig->edge_ok(e)) || !node_ok(u) || !node_ok(w) || D.count(u)) continue; + const auto& dw = d[static_cast(w)]; + auto& du = d[static_cast(u)]; + if (dw && (!du || *dw + g.cost()[static_cast(e)] < *du)) du = *dw + g.cost()[static_cast(e)]; + } + } + return d; +} + +// The controllers' certificates on random graphs with masks, zero capacities and dispersed costs: +// Global (every allowed edge) or CostOnly MaxFlow (the tight edges the roster reaches) under one +// origin. Flow only on the support, conservation and bounds; supplies RR(T) under the equal +// origin; maximality (equal: RR(T + 1) does not fit; optimized: the maximum flow); minimum cost (no +// negative residual cycle, with free supplies only under the optimized origin). +void certify_controllers(bool global) { + std::mt19937 rng(global ? 20261019 : 20261020); + auto pick = [&](int n) { return static_cast(rng() % static_cast(n)); }; + int positive = 0, differ = 0; + for (int trial = 0; trial < 200; ++trial) { + const int n = 4 + pick(5); + std::vector es; + for (int k = 0, m = n + pick(2 * n); k < m; ++k) { + const NodeId u = pick(n); + const NodeId w = pick(3) == 0 ? n - 1 : pick(n); + if (u != w) es.push_back({u, w, pick(5), static_cast(1 + pick(4))}); + } + if (es.empty()) es.push_back({0, n - 1, 1, 1}); + auto g = shared(make_graph(n, es)); + std::vector s = {0, 1}; + if (pick(2) == 0) s.push_back(2); + std::vector t = {static_cast(n - 1)}; + if (pick(3) == 0 && n - 2 > 2) t.push_back(static_cast(n - 2)); + const auto mask = g->eligibility(pick(3) == 0 && n > 5 ? v({static_cast(3)}) : std::vector {}, + pick(3) == 0 ? std::vector {static_cast(pick(g->num_edges()))} + : std::vector {}); + const auto m = static_cast(g->num_edges()); + const auto dist = distances(*g, t, &mask); + std::vector roster; + for (NodeId x : s) { + if (mask.node_ok(x) && dist[static_cast(x)]) roster.push_back(x); + } + std::vector allowed(m, 0); + for (std::size_t e = 0; e < m; ++e) { + const NodeId u = g->edge_src()[e], w = g->edge_dst()[e]; + allowed[e] = mask.edge_ok(static_cast(e)) && mask.node_ok(u) && mask.node_ok(w); + } + if (!global) { + // The tight edges the roster reaches, not out of a destination. + std::vector reach(static_cast(n), 0), support(m, 0); + std::vector stack = roster; + for (NodeId x : roster) reach[static_cast(x)] = 1; + while (!stack.empty()) { + const NodeId u = stack.back(); + stack.pop_back(); + if (std::find(t.begin(), t.end(), u) != t.end()) continue; + for (std::size_t e = 0; e < m; ++e) { + const NodeId w = g->edge_src()[e] == u ? g->edge_dst()[e] : -1; + if (w < 0 || !allowed[e]) continue; + const auto& du = dist[static_cast(u)]; + const auto& dw = dist[static_cast(w)]; + if (du && dw && *du == *dw + g->cost()[e]) { + support[e] = 1; + if (!reach[static_cast(w)]) { + reach[static_cast(w)] = 1; + stack.push_back(w); + } + } + } + } + allowed = support; + } + std::vector view(g->capacity_units().begin(), g->capacity_units().end()); + std::vector placed_by_origin; + for (const auto origin : {Origin::Equal, Origin::Optimized}) { + const auto cfg = global ? glob(origin) : cost_only(FlowPlacement::MaxFlow, Admission::Lossless, std::nullopt, origin); + const std::string where = "trial " + std::to_string(trial) + (origin == Origin::Equal ? " equal" : " optimized"); + const auto r = capacity(*g, s, t, QueryOptions {cfg, &mask, nullptr, kEdges}); + const auto& flows = *r.edge_flows; + placed_by_origin.push_back(r.placed); + std::vector fails; + const FlowBalance bal = flow_clauses(*g, view, flows, roster, t, &mask, r.placed, fails); + EXPECT_TRUE(fails.empty()) << where << ": " << (fails.empty() ? "" : fails.front()); + for (std::size_t e = 0; e < m; ++e) { + if (!allowed[e]) EXPECT_EQ(flows[e], 0) << where << " edge " << e; + } + std::vector supply, inflow; + for (NodeId x : roster) supply.push_back(static_cast(bal.supply[static_cast(x)])); + for (NodeId x : t) inflow.push_back(static_cast(bal.inflow[static_cast(x)])); + Int128 cost = 0; + for (std::size_t e = 0; e < m; ++e) cost += static_cast(g->cost()[e]) * flows[e]; + EXPECT_EQ(*r.total_cost, (Counter128 {0, static_cast(cost)})) << where; + const auto k = roster.size(); + if (origin == Origin::Equal) { + if (k > 0) { + // The round-robin quotas written out (not the library's round_robin): T / k each, one more + // for the first T % k roster sources. + auto quotas = [&](Amount total) { + std::vector q(k); + for (std::size_t i = 0; i < k; ++i) { + q[i] = total / static_cast(k) + (static_cast(i) < total % static_cast(k) ? 1 : 0); + } + return q; + }; + EXPECT_EQ(supply, quotas(r.placed)) << where; + const auto next = quotas(r.placed + 1); + std::vector> caps(next.begin(), next.end()); + EXPECT_LT(max_flow(*g, view, allowed, roster, caps, t), r.placed + 1) << where; + } + EXPECT_FALSE(r.cost_distribution.has_value()) << where; + } else { + const std::vector> free(k); + EXPECT_EQ(max_flow(*g, view, allowed, roster, free, t), r.placed) << where; + } + EXPECT_FALSE(negative_cycle(*g, view, allowed, flows, roster, supply, t, inflow, origin == Origin::Optimized)) << where; + // A row for every input source; the supplies are the rows' admitted amounts. + ASSERT_EQ(r.by_source.size(), std::set(s.begin(), s.end()).size()) << where; + for (const auto& row : r.by_source) { + const auto it = std::find(roster.begin(), roster.end(), row.source); + EXPECT_EQ(lo(row.admitted), it == roster.end() ? 0 : supply[static_cast(it - roster.begin())]) << where; + } + if (r.placed > 0) ++positive; + } + if (placed_by_origin[0] != placed_by_origin[1]) ++differ; + } + EXPECT_GT(positive, 150); + EXPECT_GT(differ, 15); +} + +} // namespace + +// G16 (property). +TEST(GlobalEqual, Certificates) { certify_controllers(true); } + +// M8 (property). +TEST(CostOnlyMaxFlow, Certificates) { certify_controllers(false); } + +// total_cost is exact beyond 64 bits, for both controllers under both origins (the values as +// hexadecimal halves {hi, lo}). One link of capacity = cost = 2^40: 2^80. Two sources, 0 -> 2 +// (capacity 2^40, cost 2^40) and 1 -> 2 (capacity 2^39, cost 2^41): optimized carries both links +// full, 2^80 + 2^80 = 2^81; equal stops at T = 2^40 + 1 (shares 2^39 + 1 and 2^39; one more unit +// would give source 1 more than 2^39): (2^39 + 1) * 2^40 + 2^39 * 2^41 = 3 * 2^79 + 2^40. +// A chain 0 -> 1 -> 2 of two links of capacity 2^32 - 1 and cost 2^32 + 1: each product is +// 2^64 - 1, so the second one carries into the high half: 2^65 - 2. +TEST(ResultShape, TotalCostBeyond64Bits) { + const Amount p40 = Amount {1} << 40, p39 = Amount {1} << 39, p41 = Amount {1} << 41; + const Amount lo32 = (Amount {1} << 32) - 1, hi32 = (Amount {1} << 32) + 1; + struct Want { + std::vector edges; + std::vector s; + NodeId t; + Counter128 optimized, equal; + }; + const std::vector wants = { + {{{0, 1, p40, p40}}, {0}, 1, {0x10000, 0}, {0x10000, 0}}, + {{{0, 2, p40, p40}, {1, 2, p39, p41}}, {0, 1}, 2, {0x20000, 0}, {0x18000, Amount {1} << 40}}, + {{{0, 1, lo32, hi32}, {1, 2, lo32, hi32}}, {0}, 2, {1, 0xfffffffffffffffeULL}, {1, 0xfffffffffffffffeULL}}, + }; + for (const auto& w : wants) { + const auto g = graph(w.edges); + for (const auto origin : {Origin::Optimized, Origin::Equal}) { + const Counter128 want = origin == Origin::Optimized ? w.optimized : w.equal; + for (const auto& cfg : + {glob(origin), cost_only(FlowPlacement::MaxFlow, Admission::Lossless, std::nullopt, origin)}) { + Case k(w.edges, w.s, {w.t}, cfg); + EXPECT_EQ(*k.place(std::nullopt).total_cost, want); + EXPECT_EQ(*capacity(*g, w.s, v({w.t}), QueryOptions {cfg}).total_cost, want); + const std::vector, std::vector>> pairs = {{w.s, {w.t}}, {w.s, {w.t}}}; + for (const auto& r : batch_capacity(*g, pairs, QueryOptions {cfg}, {}, 2)) EXPECT_EQ(*r.total_cost, want); + } + } + } +} + +// G12 to G15: min_cut is its own output, for the optimized Global only. +TEST(GlobalMinCut, Flag) { + for (const auto& [edges, t] : {std::pair {kB1, NodeId {3}}, std::pair {kB3Z, NodeId {2}}}) { + Case k(edges, {0, 1}, {t}, glob()); + EXPECT_EQ(*k.place(std::nullopt, kCut).min_cut, (std::vector {0, 1})); + } + Case zero(kZero, {0}, {1}, glob()); + const auto z = zero.place(5, kCut); + EXPECT_EQ(z.termination, Termination::Exhausted); + EXPECT_EQ(*z.min_cut, (std::vector {0})); + Case bottleneck(kB1, {0, 1}, {3}, glob()); + EXPECT_FALSE(bottleneck.place(std::nullopt, OutputOptions {false, false, true, false}).min_cut.has_value()); + Case equal(kB1, {0, 1}, {3}, glob(Origin::Equal)); + EXPECT_FALSE(equal.place(std::nullopt, kCut).min_cut.has_value()); + Case below(kB1, {0, 1}, {3}, glob()); + EXPECT_FALSE(below.place(5, kCut).min_cut.has_value()); + EXPECT_FALSE(below.place(0, kCut).min_cut.has_value()); + Case empty({{1, 0, 5, 1}}, {0}, {1}, glob()); + const auto e = empty.place(5, kCut); + EXPECT_EQ(e.termination, Termination::NoRoute); + EXPECT_EQ(*e.min_cut, (std::vector {})); + EXPECT_EQ(*e.cost_distribution, (std::vector> {})); + EXPECT_EQ(*e.total_cost, c(0)); +} + +// ---------------------------------------------------------------- terminations and the result (T, S rows) + +// T1 to T5. +TEST(Terminations, Order) { + for (const auto& cfg : {glob(), cost_only(), cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)}) { + Case k({{1, 0, 5, 1}}, {0}, {1}, cfg); + EXPECT_EQ(k.place(0).termination, Termination::Complete); + const auto r = k.place(5); + EXPECT_EQ(r.termination, Termination::NoRoute); + if (cfg.admission == Admission::Lossy) { + // O2: nothing enters: the offer is all source loss, every row zero. + EXPECT_EQ(lo(r.offered), 5); + EXPECT_EQ(lo(r.source_loss), 5); + EXPECT_EQ(r.call_source_loss, 5); + EXPECT_EQ(rows(r), (std::vector {{0, 0, 0, 0, 0, 0}})); + } else { + EXPECT_EQ(lo(r.unadmitted), 5); + } + } + Case w(kZero, {0}, {1}, cost_only(FlowPlacement::Weighted, Admission::Lossy)); + const auto wr = w.place(2); + EXPECT_EQ(wr.termination, Termination::NoActiveWeight); + EXPECT_EQ(wr.call_source_loss, 2); + EXPECT_EQ(lo(wr.offered), 2); + Case wl(kZero, {0}, {1}, cost_only(FlowPlacement::Weighted)); + const auto wlr = wl.place(2); + EXPECT_EQ(wlr.termination, Termination::NoActiveWeight); + EXPECT_EQ(lo(wlr.unadmitted), 2); + Case lossy(kB1, {0, 1}, {3}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)); + EXPECT_EQ(lossy.place(12).termination, Termination::Complete); + Case unlimited(kPool, {0, 1}, {3}, cost_only()); + EXPECT_EQ(unlimited.place(std::nullopt).termination, Termination::Exhausted); +} + +// T6: a controller whose maximum is 0 over existing routes is exhausted, not without a route. +TEST(Terminations, ControllerAtZero) { + Case g(kZero, {0}, {1}, glob()); + EXPECT_EQ(g.place(5).termination, Termination::Exhausted); + Case m(kSpf, {0}, {1}, cost_only(FlowPlacement::MaxFlow)); + EXPECT_EQ(m.place(5).termination, Termination::Exhausted); +} + +// S2: Lossless accounting (G1). +TEST(ResultShape, LosslessAccounting) { + Case k(kB1, {0, 1}, {3}, glob(Origin::Equal)); + const auto r = k.place(12); + EXPECT_EQ(lo(r.requested), 12); + EXPECT_FALSE(r.offered.has_value()); + EXPECT_EQ(lo(r.admitted), 4); + EXPECT_EQ(r.delivered, 4); + EXPECT_EQ(lo(r.unadmitted), 8); + EXPECT_EQ(lo(r.source_loss), 0); + EXPECT_TRUE(r.drops.empty() && r.call_drops.empty()); + EXPECT_EQ(r.call_source_loss, 0); + EXPECT_EQ(r.delivery_delta, 4); + EXPECT_EQ(rows(r), (std::vector {{0, kNone, 2, 2, 0, 0}, {1, kNone, 2, 2, 0, 0}})); +} + +// S3, S4: Lossy accounting (P12, I2): state versus call. +TEST(ResultShape, LossyAccounting) { + Case k(kChain, {0, 1}, {2}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)); + const auto r = k.place(10); + EXPECT_EQ(lo(r.requested), 10); + EXPECT_EQ(lo(r.offered), 10); + EXPECT_EQ(lo(r.admitted), 10); + EXPECT_EQ(r.delivered, 3); + EXPECT_EQ(lo(r.unadmitted), 0); + EXPECT_EQ(lo(r.source_loss), 0); + EXPECT_EQ(r.drops, (Counters {{0, c(7)}})); + Case inc(kInc, {0, 1}, {2}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)); + (void)inc.place(3); + const auto b = inc.place(1); + EXPECT_TRUE(b.call_drops.empty()); + EXPECT_EQ(b.drops, (Counters {{0, c(1)}})); +} + +// S5, S6: a row for every input source; total_cost only for the controllers. +TEST(ResultShape, RowsForEveryInputSource) { + Case k(kRows, {0, 1, 4}, {3}, cost_only(), {4}); + EXPECT_EQ(rows(k.place(3)), + (std::vector {{0, kNone, 3, 3, 0, 0}, {1, kNone, 0, 0, 0, 0}, {4, kNone, 0, 0, 0, 0}})); + const auto g = graph(kB1); + Pinned pin; + pin.bundles = {dag_of(*g, {0})}; + for (const auto& cfg : {cost_only(), cost_only(FlowPlacement::Weighted), + FlowPolicyConfig {.routing = CapacityAware {}, .placement = FlowPlacement::EqualBalanced}}) { + FlowLedger fg(g); + EXPECT_FALSE(FlowPolicy(fg, v({0, 1}), v({3}), cfg).place(1).total_cost.has_value()); + } + FlowLedger fg(g); + EXPECT_FALSE(FlowPolicy(fg, v({0}), v({3}), FlowPolicyConfig {.routing = pin, .placement = FlowPlacement::MaxFlow}) + .place(1) + .total_cost.has_value()); + Case mf(kB1, {0, 1}, {3}, cost_only(FlowPlacement::MaxFlow)); + EXPECT_EQ(*mf.place(12).total_cost, c(32)); +} + +// S7: CapacityAware keeps its per-source computation (offers 6 and 6). +TEST(ResultShape, CapacityAwareKeepsItsComputation) { + Case k(kB1, {0, 1}, {3}, FlowPolicyConfig {.routing = CapacityAware {}, .placement = FlowPlacement::EqualBalanced}); + const auto r = k.place(12); + EXPECT_EQ(r.placed, 8); + EXPECT_EQ(r.termination, Termination::Exhausted); + EXPECT_EQ(lo(r.requested), 12); + EXPECT_EQ(lo(r.unadmitted), 4); + EXPECT_EQ(rows(r), (std::vector {{0, kNone, 2, 2, 0, 0}, {1, kNone, 6, 6, 0, 0}})); +} + +// S8, S9 (D-zero-service): Pinned over a zero edge in the new shape. +TEST(ResultShape, PinnedInTheNewShape) { + const auto g = graph(kZero); + Pinned pin; + pin.bundles = {dag_of(*g, {0})}; + FlowLedger fg(g); + FlowPolicy w(fg, v({0}), v({1}), FlowPolicyConfig {pin, FlowPlacement::Weighted, Admission::Lossy}); + const auto r = w.place(2); + EXPECT_EQ(r.placed, 0); + EXPECT_EQ(r.termination, Termination::NoActiveWeight); + EXPECT_EQ(r.call_source_loss, 2); + EXPECT_EQ(lo(r.source_loss), 2); + EXPECT_EQ(lo(r.offered), 2); + EXPECT_EQ(rows(r), (std::vector {{0, 2, 2, 0, 2, 0}})); + FlowLedger fg2(g); + FlowPolicy eb(fg2, v({0}), v({1}), FlowPolicyConfig {pin, FlowPlacement::EqualBalanced, Admission::Lossy}); + const auto e = eb.place(2); + EXPECT_EQ(e.drops, (Counters {{0, c(2)}})); + EXPECT_EQ(e.termination, Termination::Complete); +} + +// ---------------------------------------------------------------- evaluators (V rows, Q7) + +// V1 to V4. +TEST(Evaluators, CapacityUnderBothOrigins) { + const auto g = graph(kB1); + const std::vector> wants = { + {glob(Origin::Equal), 4}, + {glob(), 12}, + {cost_only(FlowPlacement::MaxFlow), 12}, + {cost_only(FlowPlacement::MaxFlow, Admission::Lossless, std::nullopt, Origin::Equal), 4}, + {cost_only(), 4}, + }; + for (const auto& [cfg, placed] : wants) EXPECT_EQ(capacity(*g, v({0, 1}), v({3}), QueryOptions {cfg}).placed, placed); + EXPECT_EQ(capacity(*graph(kPool), v({0, 1}), v({3}), QueryOptions {cost_only()}).placed, 2); + const auto r = capacity(*graph(kPriv), v({0, 1}), v({2}), + QueryOptions {cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)}); + EXPECT_EQ(r.delivered, 10); + EXPECT_EQ(lo(r.offered), 10); + EXPECT_FALSE(r.requested.has_value()); + EXPECT_EQ(r.termination, Termination::Exhausted); +} + +// V5. +TEST(Evaluators, BatchEqual) { + const auto g = graph(kB1); + const std::vector, std::vector>> pairs = {{{0, 1}, {3}}, {{0}, {3}}, {{1}, {3}}}; + std::vector got; + for (const auto& r : batch_capacity(*g, pairs, QueryOptions {glob(Origin::Equal)}, {}, 2)) got.push_back(r.placed); + EXPECT_EQ(got, (std::vector {4, 2, 10})); +} + +// Q7: the pooled single-path rule per pair, the lowest failing pair. +TEST(Evaluators, BatchQ12PerPair) { + const auto g = graph(kPool); + const QueryOptions opts {cost_only(FlowPlacement::EqualBalanced, Admission::Lossless, kPreferPath)}; + const std::vector, std::vector>> bad = {{{0}, {3}}, {{0, 1}, {3}}}; + EXPECT_EQ(error_of([&] { (void)batch_capacity(*g, bad, opts, {}, 1); }), kQ12); + const std::vector, std::vector>> good = {{{0}, {3}}, {{1}, {3}}}; + EXPECT_EQ(batch_capacity(*g, good, opts, {}, 1).size(), 2U); +} + +// V6 (B3-delete-zero): every allowed edge is a candidate under the equal origin. +TEST(Evaluators, SensitivityEqualGlobal) { + for (int workers : {1, 2}) { + const auto r = sensitivity(*graph(kB3Z), v({0, 1}), v({2}), QueryOptions {glob(Origin::Equal)}, workers); + EXPECT_EQ(r.baseline.placed, 0); + std::vector> got; + for (const auto& e : r.entries) got.emplace_back(e.edge, e.loss); + EXPECT_EQ(got, (std::vector> {{0, -10}, {1, 0}})); + } +} + +// V7: pooled CostOnly: deleting e0 takes source 0 out of the roster. +TEST(Evaluators, SensitivityPooled) { + const auto r = sensitivity(*graph(kB1), v({0, 1}), v({3}), QueryOptions {cost_only()}, 1); + EXPECT_EQ(r.baseline.placed, 4); + std::vector> got; + for (const auto& e : r.entries) got.emplace_back(e.edge, e.loss); + EXPECT_EQ(got, (std::vector> {{0, -6}, {1, 2}, {2, 2}})); +} diff --git a/tests/cpp/state_comparators.hpp b/tests/cpp/state_comparators.hpp index ce98864..ebb6be2 100644 --- a/tests/cpp/state_comparators.hpp +++ b/tests/cpp/state_comparators.hpp @@ -51,7 +51,7 @@ inline LedgerState ledger_state(const FlowLedger& fg) { inline bool same_record(const FlowRecord& a, const FlowRecord& b) { return a.flow_id == b.flow_id && a.owner == b.owner && a.sources == b.sources && a.destinations == b.destinations && - a.placement == b.placement && a.admission == b.admission && a.bundle && b.bundle && *a.bundle == *b.bundle && + a.admission == b.admission && a.bundle && b.bundle && *a.bundle == *b.bundle && a.route_cost == b.route_cost && a.offered == b.offered && a.delivered == b.delivered && a.edges == b.edges && a.drops == b.drops; } @@ -89,11 +89,21 @@ inline void expect_balanced(const FlowLedger& fg, const std::string& where) { inline void expect_same(const PlacementResult& a, const PlacementResult& b, const std::string& where) { EXPECT_EQ(a.placed, b.placed) << where; EXPECT_EQ(a.remaining, b.remaining) << where; + EXPECT_EQ(a.delivery_delta, b.delivery_delta) << where; + EXPECT_EQ(a.call_drops, b.call_drops) << where; + EXPECT_EQ(a.call_source_loss, b.call_source_loss) << where; EXPECT_EQ(a.termination, b.termination) << where; - EXPECT_EQ(a.local_outcomes, b.local_outcomes) << where; EXPECT_EQ(a.routes_changed, b.routes_changed) << where; EXPECT_EQ(a.weights_changed, b.weights_changed) << where; + EXPECT_EQ(a.requested, b.requested) << where; + EXPECT_EQ(a.offered, b.offered) << where; + EXPECT_EQ(a.admitted, b.admitted) << where; + EXPECT_EQ(a.delivered, b.delivered) << where; + EXPECT_EQ(a.unadmitted, b.unadmitted) << where; + EXPECT_EQ(a.source_loss, b.source_loss) << where; EXPECT_EQ(a.drops, b.drops) << where; + EXPECT_TRUE(a.by_source == b.by_source) << where; + EXPECT_EQ(a.total_cost, b.total_cost) << where; EXPECT_EQ(a.cost_distribution, b.cost_distribution) << where; EXPECT_EQ(a.edge_flows, b.edge_flows) << where; EXPECT_EQ(a.residual, b.residual) << where; @@ -113,19 +123,24 @@ struct FlowSnapshot { bool operator==(const FlowSnapshot&) const = default; }; -// A policy's epoch state: the call state (requested, +inf, the placed demand), Global's -// cumulative curve and per roster source its flows. +// A policy's epoch state: the call state (requested, offered, +inf, prepared, the placed +// demand), Global's cumulative curve, CostOnly's program (its members, or the MaxFlow support) +// and per roster source its flows. struct Epoch { Counter128 requested; + Counter128 offered; bool infinite {false}; + bool prepared {false}; Amount placed {0}; std::vector> curve; + std::vector program; std::vector> cohorts; }; inline Epoch epoch(const FlowPolicy& p) { const auto& pe = detail::PolicyAccess::engine(p); - Epoch e {pe.requested, pe.infinite, p.placed_demand(), pe.curve, {}}; + Epoch e {pe.requested, pe.offered, pe.infinite, pe.prepared, p.placed_demand(), pe.curve, + pe.program ? pe.program->members : pe.program_edges, {}}; for (const auto& c : pe.cohorts) { auto& out = e.cohorts.emplace_back(); for (const auto& f : c) { @@ -142,9 +157,12 @@ inline Epoch epoch(const FlowPolicy& p) { inline void expect_same(const Epoch& a, const Epoch& b, const std::string& where) { EXPECT_EQ(a.requested, b.requested) << where; + EXPECT_EQ(a.offered, b.offered) << where; EXPECT_EQ(a.infinite, b.infinite) << where; + EXPECT_EQ(a.prepared, b.prepared) << where; EXPECT_EQ(a.placed, b.placed) << where; EXPECT_EQ(a.curve, b.curve) << where; + EXPECT_EQ(a.program, b.program) << where; EXPECT_TRUE(a.cohorts == b.cohorts) << where; } diff --git a/tests/cpp/test_utils.hpp b/tests/cpp/test_utils.hpp index c2f6a75..33033d7 100644 --- a/tests/cpp/test_utils.hpp +++ b/tests/cpp/test_utils.hpp @@ -51,11 +51,9 @@ struct InEdge { inline constexpr Amount kL62 = Amount {1} << 62; // The two policy configurations most tests use, both Lossless with deterministic ties and the -// capacity priority: the exact maximum flow (Global routing, MaxFlow) and CostOnly EqualBalanced. -inline FlowPolicyConfig global_config() { - return FlowPolicyConfig {Global {}, FlowPlacement::MaxFlow, Admission::Lossless, - PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)}; -} +// capacity priority: the exact maximum flow (Global routing, the optimized origin) and CostOnly +// EqualBalanced. +inline FlowPolicyConfig global_config() { return FlowPolicyConfig {.routing = Global {}}; } inline FlowPolicyConfig cost_only_config() { return FlowPolicyConfig {CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)}; @@ -68,8 +66,7 @@ inline std::tuple& edges, double q = 1.0) { @@ -692,7 +689,8 @@ inline std::vector plan_differences(const detail::KernelPlan& got, }; differ(got.placement == want.placement, "placement"); differ(got.admission == want.admission, "admission"); - differ(got.src == want.src, "src"); + differ(vec(got.roots) == vec(want.roots), "roots"); + differ(vec(got.root_pos) == vec(want.root_pos), "root_pos"); differ(vec(got.dsts) == vec(want.dsts), "dsts"); if (with_route) differ(got.route == want.route, "route"); differ(got.members == want.members, "members"); @@ -702,8 +700,6 @@ inline std::vector plan_differences(const detail::KernelPlan& got, differ(vec(got.out_end) == vec(want.out_end), "out_end"); differ(vec(got.head_pos) == vec(want.head_pos), "head_pos"); differ(vec(got.terminal) == vec(want.terminal), "terminal"); - differ(got.src_out_begin == want.src_out_begin, "src_out_begin"); - differ(got.src_out_end == want.src_out_end, "src_out_end"); return out; } diff --git a/tests/cpp/zero_capacity_tests.cpp b/tests/cpp/zero_capacity_tests.cpp index b5b7115..f0a47d7 100644 --- a/tests/cpp/zero_capacity_tests.cpp +++ b/tests/cpp/zero_capacity_tests.cpp @@ -45,7 +45,9 @@ PathSelection sel(EdgeTieBreak t = EdgeTieBreak::Deterministic, EdgePriority p = return PathSelection(t, p, multipath, multi_edge); } +// A configuration; Global takes neither a placement nor a selection, so `k` and `s` are left out. FlowPolicyConfig cfg(Routing r, FlowPlacement k, Admission a = Admission::Lossless, PathSelection s = sel()) { + if (std::holds_alternative(r)) return FlowPolicyConfig {.routing = std::move(r), .admission = a}; return FlowPolicyConfig {std::move(r), k, a, s}; } @@ -178,7 +180,7 @@ TEST(ZeroCapacity, DagCacheValuesAndTheirConsumers) { FlowPolicy p(fg, v({0}), v({1}), cost_only_config(), nullptr, &cache); EXPECT_EQ(p.place(5).placed, 0); cache.freeze(); - EXPECT_EQ(capacity(*g, v({0}), v({1}), CapacityOptions {cost_only_config(), nullptr, &cache}).placed, 0); + EXPECT_EQ(capacity(*g, v({0}), v({1}), QueryOptions {cost_only_config(), nullptr, &cache}).placed, 0); } // Z-16 to Z-21: G8 under every model. @@ -189,7 +191,6 @@ TEST(ZeroCapacity, G8ForEveryModel) { EXPECT_EQ(eb.r.remaining, 5); EXPECT_EQ(eb.r.termination, Termination::Exhausted); EXPECT_TRUE(eb.r.routes_changed); - EXPECT_EQ(eb.r.local_outcomes, (std::vector> {{0, Termination::Exhausted}})); ASSERT_EQ(eb.records.size(), 1U); EXPECT_EQ(eb.records[0].delivered, 0); EXPECT_EQ(dag_edges(*eb.records[0].bundle), (std::vector{0})); @@ -197,7 +198,7 @@ TEST(ZeroCapacity, G8ForEveryModel) { EXPECT_TRUE(eb.records[0].edges.empty()); const auto lossy = place_once(g, {0}, {1}, cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy), 5); EXPECT_EQ(lossy.r.placed, 0); - EXPECT_EQ(lossy.r.drops, (Drops {{0, 5}})); + EXPECT_EQ(lossy.r.call_drops, (Drops {{0, 5}})); EXPECT_EQ(lossy.r.termination, Termination::Complete); ASSERT_EQ(lossy.records.size(), 1U); EXPECT_EQ(lossy.records[0].offered, (Counter128 {0, 5})); @@ -206,8 +207,9 @@ TEST(ZeroCapacity, G8ForEveryModel) { for (const auto a : {Admission::Lossless, Admission::Lossy}) { const auto w = place_once(g, {0}, {1}, cfg(CostOnly {}, FlowPlacement::Weighted, a), 5); EXPECT_EQ(w.r.placed, 0); - EXPECT_TRUE(w.r.drops.empty()); // no member: the offer is lost at the source, never bypassed - EXPECT_EQ(w.r.termination, Termination::Exhausted); + EXPECT_TRUE(w.r.call_drops.empty()); // no member: the offer is lost at the source, never bypassed + EXPECT_EQ(w.r.call_source_loss, a == Admission::Lossy ? 5 : 0); + EXPECT_EQ(w.r.termination, Termination::NoActiveWeight); ASSERT_EQ(w.records.size(), 1U); EXPECT_EQ(dag_edges(*w.records[0].bundle), (std::vector{0})); EXPECT_EQ(w.records[0].route_cost, 1); @@ -236,11 +238,11 @@ TEST(ZeroCapacity, EqualSplitsKeepTheZeroMemberWeightedSplitsPruneIt) { EXPECT_EQ(place_once(g, {0}, {dst}, cost_only_config(), 10).r.placed, w.eb_lossless) << where; const auto lossy = place_once(g, {0}, {dst}, cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy), 10); EXPECT_EQ(lossy.r.placed, w.eb_lossy) << where; - EXPECT_EQ(lossy.r.drops, w.drops) << where; + EXPECT_EQ(lossy.r.call_drops, w.drops) << where; for (const auto a : {Admission::Lossless, Admission::Lossy}) { const auto wt = place_once(g, {0}, {dst}, cfg(CostOnly {}, FlowPlacement::Weighted, a), 10); EXPECT_EQ(wt.r.placed, w.weighted) << where; - EXPECT_TRUE(wt.r.drops.empty()) << where; + EXPECT_TRUE(wt.r.call_drops.empty()) << where; } EXPECT_EQ(place_once(g, {0}, {dst}, cfg(CostOnly {}, FlowPlacement::MaxFlow), 10).r.placed, w.maxflow) << where; }; @@ -274,8 +276,8 @@ TEST(ZeroCapacity, EqualSplitsKeepTheZeroMemberWeightedSplitsPruneIt) { TEST(ZeroCapacity, LossyInjectionAndAllZeroWeights) { const auto lossy_eb = cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy); const auto first = ordered(2, {{0, 1, 0, 1}, {0, 1, 10, 1}}); - EXPECT_EQ(capacity(*first, v({0}), v({1}), CapacityOptions {lossy_eb}).placed, 10); - const auto s = capacity(*graph_s(), v({0}), v({1}), CapacityOptions {lossy_eb}); + EXPECT_EQ(capacity(*first, v({0}), v({1}), QueryOptions {lossy_eb}).placed, 10); + const auto s = capacity(*graph_s(), v({0}), v({1}), QueryOptions {lossy_eb}); EXPECT_EQ(s.placed, 0); EXPECT_EQ(s.termination, Termination::Exhausted); const auto wcmp = ordered(2, {{0, 1, 0, 1}, {0, 1, 40, 1}}); @@ -286,44 +288,42 @@ TEST(ZeroCapacity, LossyInjectionAndAllZeroWeights) { const auto w = place_once(one, {0}, {1}, cfg(CostOnly {}, FlowPlacement::Weighted, Admission::Lossy), 2); EXPECT_EQ(w.r.placed, 0); EXPECT_EQ(w.r.remaining, 2); - EXPECT_TRUE(w.r.drops.empty()); - EXPECT_EQ(w.r.termination, Termination::Exhausted); + EXPECT_TRUE(w.r.call_drops.empty()); + EXPECT_EQ(w.r.call_source_loss, 2); + EXPECT_EQ(w.r.termination, Termination::NoActiveWeight); ASSERT_EQ(w.records.size(), 1U); EXPECT_EQ(w.records[0].offered, (Counter128 {0, 2})); // 2 offered, 0 delivered, no drop: lost at the source EXPECT_EQ(w.records[0].delivered, 0); const auto d = place_once(one, {0}, {1}, lossy_eb, 2); EXPECT_EQ(d.r.placed, 0); - EXPECT_EQ(d.r.drops, (Drops {{0, 2}})); + EXPECT_EQ(d.r.call_drops, (Drops {{0, 2}})); EXPECT_EQ(d.r.termination, Termination::Complete); } -// Z-30 to Z-35: B3-zero-first, B3-positive-first and B3-delete-zero with today's per-source -// admission (the contract's Lossless totals 0 and 1 arrive with the pooled origin rule). +// Z-30 to Z-35: B3-zero-first, B3-positive-first and B3-delete-zero under the equal origin: a +// source behind a zero-capacity link stays in the roster and receives its share, which Lossless +// admits only when it is 0 (0 when it is the first source, 1 when the second) and Lossy loses. TEST(ZeroCapacity, ZeroCapacitySourcesStayInTheRoster) { const auto b = graph_b(0, 10); const auto ll = place_once(b, {0, 1}, {2}, cost_only_config(), 10); - EXPECT_EQ(ll.r.placed, 5); + EXPECT_EQ(ll.r.placed, 0); EXPECT_EQ(ll.r.termination, Termination::Exhausted); - EXPECT_EQ(ll.r.local_outcomes, - (std::vector> {{0, Termination::Exhausted}, {1, Termination::Complete}})); ASSERT_EQ(ll.records.size(), 2U); EXPECT_EQ(ll.records[0].sources, v({0})); EXPECT_EQ(ll.records[0].delivered, 0); EXPECT_EQ(dag_edges(*ll.records[0].bundle), (std::vector{0})); - EXPECT_EQ(ll.records[1].delivered, 5); + EXPECT_EQ(ll.records[1].delivered, 0); const auto lossy_eb = cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy); const auto ly = place_once(b, {0, 1}, {2}, lossy_eb, 10); EXPECT_EQ(ly.r.placed, 5); - EXPECT_EQ(ly.r.drops, (Drops {{0, 5}})); + EXPECT_EQ(ly.r.call_drops, (Drops {{0, 5}})); EXPECT_EQ(ly.r.termination, Termination::Complete); const auto bp = graph_b(10, 0); const auto pl = place_once(bp, {0, 1}, {2}, cost_only_config(), 10); - EXPECT_EQ(pl.r.placed, 5); - EXPECT_EQ(pl.r.local_outcomes, - (std::vector> {{0, Termination::Complete}, {1, Termination::Exhausted}})); + EXPECT_EQ(pl.r.placed, 1); const auto py = place_once(bp, {0, 1}, {2}, lossy_eb, 10); EXPECT_EQ(py.r.placed, 5); - EXPECT_EQ(py.r.drops, (Drops {{1, 5}})); + EXPECT_EQ(py.r.call_drops, (Drops {{1, 5}})); // Z-33: the source or its link excluded: the roster is [1]. const auto no_node = b->eligibility(std::vector {0}, {}); const auto no_link = b->eligibility({}, std::vector {0}); @@ -334,8 +334,7 @@ TEST(ZeroCapacity, ZeroCapacitySourcesStayInTheRoster) { // Z-34: Global keeps a zero-delivery record of source 0 with an empty bundle. const auto gl = place_once(b, {0, 1}, {2}, global_config(), 10); EXPECT_EQ(gl.r.placed, 10); - EXPECT_EQ(gl.r.local_outcomes, - (std::vector> {{0, Termination::Complete}, {1, Termination::Complete}})); + EXPECT_EQ(gl.r.termination, Termination::Complete); ASSERT_EQ(gl.records.size(), 2U); EXPECT_EQ(gl.records[0].delivered, 0); EXPECT_TRUE(dag_edges(*gl.records[0].bundle).empty()); @@ -344,8 +343,6 @@ TEST(ZeroCapacity, ZeroCapacitySourcesStayInTheRoster) { const auto ca = place_once(b, {0, 1}, {2}, cfg(CapacityAware {.flow_count = 1}, FlowPlacement::EqualBalanced), 10); EXPECT_EQ(ca.r.placed, 5); EXPECT_EQ(ca.r.termination, Termination::NoRoute); - EXPECT_EQ(ca.r.local_outcomes, - (std::vector> {{0, Termination::NoRoute}, {1, Termination::Complete}})); EXPECT_EQ(ca.records.size(), 1U); } @@ -385,7 +382,7 @@ TEST(ZeroCapacity, PinnedBundlesKeepTheirZeroLinks) { EXPECT_EQ(place_once(p1, {0}, {1}, two(p1, FlowPlacement::EqualBalanced), std::nullopt).r.placed, 1); const auto lossy = place_once(p0, {0}, {1}, two(p0, FlowPlacement::EqualBalanced, Admission::Lossy), 4); EXPECT_EQ(lossy.r.placed, 2); - EXPECT_EQ(lossy.r.drops, (Drops {{0, 2}})); + EXPECT_EQ(lossy.r.call_drops, (Drops {{0, 2}})); for (const auto k : {FlowPlacement::Weighted, FlowPlacement::MaxFlow}) { const auto x = place_once(p0, {0}, {1}, two(p0, k), std::nullopt); EXPECT_EQ(x.r.placed, 4); @@ -432,26 +429,29 @@ TEST(ZeroCapacity, PinnedWeightedPlansKeepOnlyPositiveEdges) { TEST(ZeroCapacity, EvaluatorsCountZeroCapacityRoutesAndCandidates) { const auto s = graph_s(); const std::vector, std::vector>> pairs = {{{0}, {1}}, {{2}, {1}}}; - const auto batch = batch_capacity(*s, pairs, CapacityOptions {cost_only_config()}, {}, 1); + const auto batch = batch_capacity(*s, pairs, QueryOptions {cost_only_config()}, {}, 1); ASSERT_EQ(batch.size(), 2U); EXPECT_EQ(batch[0].placed, 0); EXPECT_EQ(batch[1].placed, 5); // Z-44 (CostOnly, a negative loss) is in flow_policy_tests.cpp; Z-45: Global keeps its // positive-flow candidates. - EXPECT_EQ(entries(sensitivity(*s, v({0}), v({1}), SensitivityOptions {global_config()}, 1)), + EXPECT_EQ(entries(sensitivity(*s, v({0}), v({1}), QueryOptions {global_config()}, 1)), (std::vector> {{1, 5}, {2, 5}})); const auto b = graph_b(0, 10); - const auto eb = sensitivity(*b, v({0, 1}), v({2}), SensitivityOptions {cost_only_config()}, 1); - EXPECT_EQ(eb.baseline.placed, 10); - EXPECT_EQ(entries(eb), (std::vector> {{0, 0}, {1, 10}})); + // CostOnly EB under the equal origin (B3-zero-first): the baseline is 0; deleting the zero link + // takes source 0 out of the roster and raises the total to 10 (loss -10); deleting link 1 leaves + // source 0 alone (0). + const auto eb = sensitivity(*b, v({0, 1}), v({2}), QueryOptions {cost_only_config()}, 1); + EXPECT_EQ(eb.baseline.placed, 0); + EXPECT_EQ(entries(eb), (std::vector> {{0, -10}, {1, 0}})); const auto ca = sensitivity(*b, v({0, 1}), v({2}), - SensitivityOptions {cfg(CapacityAware {.flow_count = 1}, FlowPlacement::EqualBalanced)}, 2); + QueryOptions {cfg(CapacityAware {.flow_count = 1}, FlowPlacement::EqualBalanced)}, 2); EXPECT_EQ(ca.baseline.placed, 10); EXPECT_EQ(entries(ca), (std::vector> {{0, 0}, {1, 10}})); const auto p0 = ordered(2, {{0, 1, 0, 1}, {0, 1, 4, 1}}); Pinned pin; pin.bundles = {dag_of(*p0, {0}), dag_of(*p0, {1})}; - const auto ps = sensitivity(*p0, v({0}), v({1}), SensitivityOptions {cfg(pin, FlowPlacement::EqualBalanced)}, 1); + const auto ps = sensitivity(*p0, v({0}), v({1}), QueryOptions {cfg(pin, FlowPlacement::EqualBalanced)}, 1); EXPECT_EQ(ps.baseline.placed, 0); EXPECT_EQ(entries(ps), (std::vector> {{0, -4}, {1, 0}})); } @@ -459,16 +459,16 @@ TEST(ZeroCapacity, EvaluatorsCountZeroCapacityRoutesAndCandidates) { // Z-56: Global's minimum cut lists the zero-capacity link leaving the closure (value unchanged); // an excluded link is never listed. TEST(ZeroCapacity, GlobalMinCutListsZeroCapacityLinksLeavingTheClosure) { - const OutputOptions want {false, false, true}; + const OutputOptions want {false, false, true, true}; const auto b = graph_b(0, 10); - const auto rb = capacity(*b, v({0, 1}), v({2}), CapacityOptions {global_config(), nullptr, nullptr, want}); + const auto rb = capacity(*b, v({0, 1}), v({2}), QueryOptions {global_config(), nullptr, nullptr, want}); EXPECT_EQ(rb.placed, 10); EXPECT_EQ(rb.min_cut, (std::optional> {{0, 1}})); const auto s = graph_s(); - const auto rs = capacity(*s, v({0}), v({1}), CapacityOptions {global_config(), nullptr, nullptr, want}); + const auto rs = capacity(*s, v({0}), v({1}), QueryOptions {global_config(), nullptr, nullptr, want}); EXPECT_EQ(rs.placed, 5); EXPECT_EQ(rs.min_cut, (std::optional> {{0, 1}})); const auto no_zero = s->eligibility({}, std::vector {0}); - const auto rm = capacity(*s, v({0}), v({1}), CapacityOptions {global_config(), &no_zero, nullptr, want}); + const auto rm = capacity(*s, v({0}), v({1}), QueryOptions {global_config(), &no_zero, nullptr, want}); EXPECT_EQ(rm.min_cut, (std::optional> {{1}})); } diff --git a/tests/data/policy_fixtures.json b/tests/data/policy_fixtures.json index 2fdf75b..7eea053 100644 --- a/tests/data/policy_fixtures.json +++ b/tests/data/policy_fixtures.json @@ -1 +1 @@ -{"format":"p2-fixtures/1","source":"prototype 2 of the design tree dev/design/2026-10-streamline (untracked by design): prototypes/p2_transaction in integer units (APPROACH 9), exported by 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diff --git a/tests/py/helpers.py b/tests/py/helpers.py index cd950a0..e4b8f84 100644 --- a/tests/py/helpers.py +++ b/tests/py/helpers.py @@ -90,7 +90,12 @@ def sel(tie=DET, prio=CAP, mp=True, me=True): def config( routing, placement=ngc.FlowPlacement.EQUAL_BALANCED, admission=None, selection=None ): - """A FlowPolicyConfig: EqualBalanced, Lossless and sel() by default.""" + """A FlowPolicyConfig: EqualBalanced, Lossless and sel() by default; Global takes neither a + placement nor a selection, so they are left out for it.""" + if isinstance(routing, ngc.Global): + return ngc.FlowPolicyConfig( + routing=routing, admission=admission or ngc.Admission.LOSSLESS + ) return ngc.FlowPolicyConfig( routing=routing, placement=placement, @@ -99,15 +104,16 @@ def config( ) -# The exact maximum flow (Global routing, MaxFlow placement) and CostOnly EqualBalanced, both -# Lossless with sel(). Configurations are immutable, so tests share these values. -GLOBAL = config(ngc.Global(), ngc.FlowPlacement.MAX_FLOW) +# The exact maximum flow (Global routing, the optimized origin) and CostOnly EqualBalanced, both +# Lossless (CostOnly with sel()). Configurations are immutable, so tests share these values. +GLOBAL = config(ngc.Global()) COSTONLY = config(ngc.CostOnly()) # The result classes whose public attributes are all fields (no methods). _RESULTS = ( ngc.PlacementResult, + ngc.SourceFlow, ngc.SensitivityResult, ngc.SensitivityEntry, ngc.SpfResult, @@ -149,7 +155,6 @@ def ledger_state(ledger): r.owner, r.sources, r.destinations, - r.placement, r.admission, [ r.bundle.parent_offsets().tolist(), diff --git a/tests/py/origin_oracle.py b/tests/py/origin_oracle.py new file mode 100644 index 0000000..34591a2 --- /dev/null +++ b/tests/py/origin_oracle.py @@ -0,0 +1,557 @@ +"""Independent references for pooled sources and the origin (docs/semantics.md, section 7). + +Nothing here calls the extension. ``rr`` and ``ha`` are the round robin and the highest averages +(the latter one unit at a time, with exact cross-products). ``PooledReference`` replays a CostOnly +policy with ``EQUAL_BALANCED`` or ``WEIGHTED`` routing: each roster source's static shortest-path +DAG (or canonical path) toward the destinations, their union, one split per router, attribution +to sources member by member (highest averages over what each source still holds there) and, on an +edge that drops, highest averages over what each source brought to it; Lossless admits the +largest total whose round robin forwards with no drop, Lossy forwards hop by hop on the free +capacity, and an infinite Lossy request is the first-hop experiment. ``equal_origin`` is the +equal-origin controller: the largest total ``T`` whose round-robin supplies a simple +augmenting-path maximum flow can carry, and the minimum cost at those supplies by successive +shortest paths (Bellman-Ford). ``optimized_origin`` is the same without supply caps. +""" + +from __future__ import annotations + +INF = float("inf") + + +def rr(x, k): + """Round robin of x units over k members: x // k each, one more for the first x % k.""" + return [x // k + (1 if i < x % k else 0) for i in range(k)] + + +def ha(x, w): + """Highest averages: x units one at a time to the member with the largest + w[i] / (given[i] + 1), ties to the earlier member; a zero weight gets nothing and + all-zero weights give nothing.""" + out = [0] * len(w) + for _ in range(x): + best = None + for i, wi in enumerate(w): + if wi <= 0: + continue + if best is None or wi * (out[best] + 1) > w[best] * (out[i] + 1): + best = i + if best is None: + break + out[best] += 1 + return out + + +def _graph_lists(g): + src = [int(x) for x in g.edge_src()] + dst = [int(x) for x in g.edge_dst()] + cost = [int(x) for x in g.cost()] + cap = [int(x) for x in g.capacity_units()] + return src, dst, cost, cap + + +def distances_to(n, src, dst, cost, dests, node_ok, edge_ok): + """Static distance of every node to the nearest allowed destination over allowed edges + (Bellman-Ford; capacity-blind), None where none is reachable.""" + dist = [None] * n + for d in dests: + if node_ok[d]: + dist[d] = 0 + for _ in range(n): + changed = False + for e in range(len(src)): + u, v = src[e], dst[e] + if not edge_ok[e] or not node_ok[u] or not node_ok[v] or dist[v] is None: + continue + if u in dests: + continue # a path stops at the first destination it meets + if dist[u] is None or dist[v] + cost[e] < dist[u]: + dist[u] = dist[v] + cost[e] + changed = True + if not changed: + break + return dist + + +def tight_edges(src, dst, cost, dests, node_ok, edge_ok, dist): + """Per node, its tight out-edges in ascending EdgeId (none out of a destination).""" + out = {} + for e in range(len(src)): + u, v = src[e], dst[e] + if not edge_ok[e] or not node_ok[u] or not node_ok[v] or u in dests: + continue + if dist[u] is not None and dist[v] is not None and dist[u] == cost[e] + dist[v]: + out.setdefault(u, []).append(e) + return out + + +def canonical_next(dst, dests, tight, dist): + """Per node, the next edge of its canonical path under DETERMINISTIC: the lowest cost (tight + edges), then the fewest hops, then the lexicographically smallest EdgeId sequence.""" + hops = {d: 0 for d in dests} + order = sorted((u for u in tight), key=lambda u: dist[u]) + for u in order: # every tight edge leads to a strictly smaller distance + best = None + for e in tight[u]: + h = hops.get(dst[e]) + if h is not None and (best is None or h + 1 < best): + best = h + 1 + if best is not None: + hops[u] = best + nxt = {} + for u in order: + if u not in hops: + continue + for e in tight[u]: # ascending EdgeId: the first edge of the optimal hop count + if hops.get(dst[e]) == hops[u] - 1: + nxt[u] = e + break + return nxt + + +class PooledReference: + """A CostOnly EQUAL_BALANCED or WEIGHTED policy, replayed call by call.""" + + def __init__( + self, + g, + sources, + dests, + kernel, # "EB" or "W" + lossy, + residual, # the ledger's residual before the first call (per EdgeId) + multipath=True, + priority="CAPACITY", # W's weights: "CAPACITY" or "RESIDUAL" + excluded_nodes=(), + excluded_edges=(), + ): + self.n = g.num_nodes() + self.src, self.dst, self.cost, self.cap = _graph_lists(g) + self.m = len(self.src) + self.node_ok = [v not in set(excluded_nodes) for v in range(self.n)] + self.edge_ok = [e not in set(excluded_edges) for e in range(self.m)] + self.dests = set(dests) + self.inputs = sorted(set(sources)) + self.kernel = kernel + self.lossy = lossy + self.multipath = multipath + self.priority = priority + self.free = list(residual) # the free capacity (the ledger's residual) + dist = distances_to( + self.n, + self.src, + self.dst, + self.cost, + self.dests, + self.node_ok, + self.edge_ok, + ) + self.roster = [ + s for s in self.inputs if self.node_ok[s] and dist[s] is not None + ] + self.dist = dist + self.prepared = False + self.requested = 0 + self.infinite = False + self.offered = 0 # Lossy: the round-robin position + self.records = {} # source -> dict(edges, drops, offered, delivered) + self.source_loss = {s: 0 for s in self.inputs} + + # -- preparation ---------------------------------------------------------------------- + def _prepare(self): + tight = tight_edges( + self.src, + self.dst, + self.cost, + self.dests, + self.node_ok, + self.edge_ok, + self.dist, + ) + if not self.multipath: + nxt = canonical_next(self.dst, self.dests, tight, self.dist) + tight = {u: [e] for u, e in nxt.items()} + # Each source's route: the tight edges it reaches. + self.route = {} + union_nodes = set() + for s in self.roster: + seen, stack, edges = {s}, [s], set() + while stack: + u = stack.pop() + for e in tight.get(u, []): + edges.add(e) + if self.dst[e] not in seen: + seen.add(self.dst[e]) + stack.append(self.dst[e]) + self.route[s] = edges + union_nodes |= seen + if self.kernel == "W": + weight = [ + (self.cap[e] if self.priority == "CAPACITY" else self.free[e]) + for e in range(self.m) + ] + # Usable nodes: a destination, or a node with a member of positive weight to a + # usable node (processed by increasing distance). + usable = set(self.dests) + members = {} + for u in sorted(union_nodes, key=lambda x: self.dist[x]): + if u in self.dests: + continue + ms = [ + e + for e in tight.get(u, []) + if weight[e] > 0 and self.dst[e] in usable + ] + if ms: + members[u] = ms + usable.add(u) + self.weight = weight + else: + members = {u: list(tight[u]) for u in union_nodes if u in tight} + self.weight = None + self.members = members + self.order = sorted( + (u for u in union_nodes if u not in self.dests), + key=lambda x: -self.dist[x], + ) + self.records = { + s: {"edges": {}, "drops": {}, "offered": 0, "delivered": 0} + for s in self.roster + } + self.prepared = True + + def _split(self, u, x): + ms = self.members[u] + if self.kernel == "EB": + return rr(x, len(ms)) + return ha(x, [self.weight[e] for e in ms]) + + # -- forwarding ----------------------------------------------------------------------- + def _forward(self, inject, view, first_hop=False): + """One forwarding from the roots' injections. Returns per source: carried per edge, + dropped per edge, delivered, source loss, offered; with view None, nothing drops and + the result says whether every share fitted (fits) and no share was memberless.""" + k = len(self.roster) + index = {s: i for i, s in enumerate(self.roster)} + held = {u: [0] * k for u in self.order} # what each source holds at a node + delivered = [0] * k + loss = [0] * k + offered = [0] * k + carried = [dict() for _ in range(k)] + dropped = [dict() for _ in range(k)] + fits = True + for s in self.roster: + i = index[s] + if not first_hop: + held[s][i] += inject[i] + offered[i] += inject[i] + for u in self.order: + have = held[u] + x = sum(have) + own_hop = ( + first_hop and u in index and u in self.members + ) # the first-hop experiment's own injection, per member + if u not in self.members: + if x > 0: # only a root can hold traffic without a member + for i in range(k): + loss[i] += have[i] + fits = False + continue + ms = self.members[u] + shares = self._split(u, x) + remaining = list(have) + for e, share in zip(ms, shares, strict=True): + per = ha(share, remaining) + remaining = [a - b for a, b in zip(remaining, per, strict=True)] + if own_hop: + own = view[e] if view is not None else 0 + per[index[u]] += own + offered[index[u]] += own + # Lossless (no view) carries every share; its caller checks the edge bounds. + if view is None or sum(per) <= view[e]: + take = per + else: + take = ha(view[e], per) + for i in range(k): + if take[i]: + carried[i][e] = carried[i].get(e, 0) + take[i] + if per[i] - take[i]: + dropped[i][e] = dropped[i].get(e, 0) + per[i] - take[i] + head = self.dst[e] + for i in range(k): + if head in self.dests: + delivered[i] += take[i] + else: + held[head][i] += take[i] + return carried, dropped, delivered, loss, offered, fits + + def _fits(self, total, view): + inject = rr(total, len(self.roster)) + carried, _, _, _, _, ok = self._forward(inject, None) + if not ok: + return False + for e in range(self.m): + if sum(c.get(e, 0) for c in carried) > view[e]: + return False + return True + + # -- the call ------------------------------------------------------------------------- + def place(self, volume): + """One place(volume) call; returns the result fields the tests compare and applies it + to the free capacity and the records.""" + if volume == 0: + return self._result(0, {}, 0, volume) + if not self.roster: + if volume != INF: + self.requested += volume + else: + self.infinite = True + # Nothing can enter: a finite Lossy offer is lost before it enters (offered = + # requested, all of it source loss); every row stays zero. + lost = volume if self.lossy and volume != INF else 0 + self.offered += lost + return self._result(0, {}, lost, volume, empty=True) + if not self.prepared: + self._prepare() + k = len(self.roster) + if volume == INF: + self.infinite = True + else: + self.requested += volume + if not self.lossy: + own = [0] * self.m + admitted = 0 + for r in self.records.values(): + admitted += r["delivered"] + for e, x in r["edges"].items(): + own[e] += x + view = [self.free[e] + own[e] for e in range(self.m)] + lo = admitted + hi = admitted + volume if volume != INF else admitted + sum(view) + 1 + while lo < hi: # the largest total that fits (a prefix) + mid = (lo + hi + 1) // 2 + if self._fits(mid, view): + lo = mid + else: + hi = mid - 1 + carried, _, delivered, _, _, _ = self._forward(rr(lo, k), None) + for e in range(self.m): + self.free[e] = view[e] - sum(c.get(e, 0) for c in carried) + for i, s in enumerate(self.roster): + self.records[s]["edges"] = dict(carried[i]) + self.records[s]["delivered"] = delivered[i] + return self._result(lo - admitted, {}, 0, volume) + if volume == INF: + carried, dropped, delivered, loss, offered, _ = self._forward( + [0] * k, list(self.free), first_hop=True + ) + else: + before = rr(self.offered, k) + self.offered += volume + after = rr(self.offered, k) + inject = [a - b for a, b in zip(after, before, strict=True)] + carried, dropped, delivered, loss, offered, _ = self._forward( + inject, list(self.free) + ) + call_drops = {} + for i, s in enumerate(self.roster): + r = self.records[s] + for e, x in carried[i].items(): + r["edges"][e] = r["edges"].get(e, 0) + x + self.free[e] -= x + for e, x in dropped[i].items(): + r["drops"][e] = r["drops"].get(e, 0) + x + call_drops[e] = call_drops.get(e, 0) + x + r["offered"] += offered[i] + r["delivered"] += delivered[i] + self.source_loss[s] += loss[i] + return self._result(sum(delivered), call_drops, sum(loss), volume) + + def _result(self, placed, call_drops, call_loss, volume, empty=False): + rows = [] + for s in self.inputs: + r = self.records.get(s) + if r is None: + rows.append((s, 0 if self.lossy else None, 0, 0, 0, 0)) + continue + dropped = sum(r["drops"].values()) + if self.lossy: + rows.append( + ( + s, + r["offered"], + r["offered"], + r["delivered"], + self.source_loss[s], + dropped, + ) + ) + else: + rows.append((s, None, r["delivered"], r["delivered"], 0, 0)) + drops = {} + for r in self.records.values(): + for e, x in r["drops"].items(): + drops[e] = drops.get(e, 0) + x + delivered = sum(r["delivered"] for r in self.records.values()) + requested = INF if self.infinite else self.requested + if self.lossy: + offered = sum(r["offered"] for r in self.records.values()) + source_loss = sum(self.source_loss.values()) + if empty or not self.roster: + offered, source_loss = self.offered, self.offered + admitted, unadmitted = offered, 0 + else: + offered, source_loss, admitted = None, 0, delivered + unadmitted = None if self.infinite else self.requested - delivered + if volume == 0: + term = "COMPLETE" + elif not self.roster: + term = "NO_ROUTE" + elif not self.members: + term = "NO_ACTIVE_WEIGHT" + elif self.lossy: + term = "COMPLETE" if volume != INF else "EXHAUSTED" + else: + term = "COMPLETE" if volume != INF and placed == volume else "EXHAUSTED" + return { + "placed": placed, + "termination": term, + "call_drops": sorted((e, x) for e, x in call_drops.items() if x), + "call_source_loss": call_loss, + "requested": requested, + "offered": offered, + "admitted": admitted, + "delivered": delivered, + "unadmitted": unadmitted, + "source_loss": source_loss, + "drops": sorted((e, x) for e, x in drops.items() if x), + "by_source": rows, + "records": { + s: (sorted((e, x) for e, x in r["edges"].items() if x), r["delivered"]) + for s, r in self.records.items() + }, + } + + +# -- the controllers ------------------------------------------------------------------------ + + +def _max_flow(n, src, dst, view, allowed, sources, caps, dests): + """Maximum flow (augmenting paths, BFS) from a virtual root with an arc of capacity caps[i] + to sources[i] (None: unbounded) to a virtual sink fed by every destination.""" + root, sink = n, n + 1 + arcs = [] # [u, v, cap, flow] + for e in range(len(src)): + if allowed[e]: + arcs.append([src[e], dst[e], view[e], 0]) + big = sum(view) + 1 + for s, c in zip(sources, caps, strict=True): + arcs.append([root, s, big if c is None else c, 0]) + for d in dests: + arcs.append([d, sink, big, 0]) + total = 0 + while True: + parent = {root: None} + queue = [root] + for u in queue: + for i, (a, b, c, f) in enumerate(arcs): + if a == u and f < c and b not in parent: + parent[b] = (i, 1) + queue.append(b) + if b == u and f > 0 and a not in parent: + parent[a] = (i, -1) + queue.append(a) + if sink not in parent: + return total + path, v = [], sink + while v != root: + i, sign = parent[v] + path.append((i, sign)) + v = arcs[i][0] if sign == 1 else arcs[i][1] + amount = min(arcs[i][2] - arcs[i][3] if s == 1 else arcs[i][3] for i, s in path) + for i, s in path: + arcs[i][3] += s * amount + total += amount + + +def _min_cost(n, src, dst, cost, view, allowed, sources, caps, dests, value): + """The minimum cost of a flow of `value` with root arcs capped at caps (None: unbounded), + by successive shortest paths with Bellman-Ford; None when value is not reachable.""" + root, sink = n, n + 1 + big = sum(view) + 1 + arcs = [] + for e in range(len(src)): + if allowed[e]: + arcs.append([src[e], dst[e], view[e], cost[e], 0]) + for s, c in zip(sources, caps, strict=True): + arcs.append([root, s, big if c is None else c, 0, 0]) + for d in dests: + arcs.append([d, sink, big, 0, 0]) + sent, total = 0, 0 + while sent < value: + dist = [None] * (n + 2) + parent = [None] * (n + 2) + dist[root] = 0 + for _ in range(n + 2): + changed = False + for i, (u, v, c, w, f) in enumerate(arcs): + if ( + f < c + and dist[u] is not None + and (dist[v] is None or dist[u] + w < dist[v]) + ): + dist[v], parent[v], changed = dist[u] + w, (i, 1), True + if ( + f > 0 + and dist[v] is not None + and (dist[u] is None or dist[v] - w < dist[u]) + ): + dist[u], parent[u], changed = dist[v] - w, (i, -1), True + if not changed: + break + if dist[sink] is None: + return None + path, v = [], sink + while v != root: + i, s = parent[v] + path.append((i, s)) + v = arcs[i][0] if s == 1 else arcs[i][1] + amount = min(arcs[i][2] - arcs[i][4] if s == 1 else arcs[i][4] for i, s in path) + amount = min(amount, value - sent) + for i, s in path: + arcs[i][4] += s * amount + sent += amount + total += dist[sink] * amount + return total + + +def equal_origin(g, roster, dests, view, allowed, limit=None): + """(T, cost): the largest total up to `limit` whose round-robin supplies over the roster + fit (the solve reaches T), and the minimum cost at those supplies.""" + n = g.num_nodes() + src, dst, cost, _ = _graph_lists(g) + k = len(roster) + if k == 0: + return 0, 0 + top = sum(view) if limit is None else limit + best = 0 + for t in range(1, top + 1): # feasible totals form a prefix + if _max_flow(n, src, dst, view, allowed, roster, rr(t, k), dests) != t: + break + best = t + return best, _min_cost( + n, src, dst, cost, view, allowed, roster, rr(best, k), dests, best + ) + + +def optimized_origin(g, roster, dests, view, allowed, limit=None): + """(T, cost): the maximum flow up to `limit` from the roster and its minimum cost.""" + n = g.num_nodes() + src, dst, cost, _ = _graph_lists(g) + if not roster: + return 0, 0 + top = _max_flow(n, src, dst, view, allowed, roster, [None] * len(roster), dests) + if limit is not None: + top = min(top, limit) + return top, _min_cost( + n, src, dst, cost, view, allowed, roster, [None] * len(roster), dests, top + ) diff --git a/tests/py/test_dag_cache.py b/tests/py/test_dag_cache.py index bffcb77..6ee724d 100644 --- a/tests/py/test_dag_cache.py +++ b/tests/py/test_dag_cache.py @@ -12,7 +12,7 @@ import _netgraph_core as ext import pytest -from helpers import ALL_OUT, COSTONLY, GLOBAL, build, stats_of +from helpers import ALL_OUT, COSTONLY, GLOBAL, build, exact, stats_of from private_hooks import needs_hooks import netgraph_core as ngc @@ -31,7 +31,7 @@ def prepopulate(g, keys): looks up the destinations' reverse support; the source is spine 6), frozen afterwards.""" cache = ngc.DagCache(g) for dst in keys: - ngc.capacity(g, 6, dst, ngc.CapacityOptions(COSTONLY, cache=cache)) + ngc.capacity(g, 6, dst, ngc.QueryOptions(COSTONLY, cache=cache)) cache.freeze() return cache @@ -44,8 +44,8 @@ def stats(cache): def test_transition_table(): g = fabric() cache = ngc.DagCache(g) - opts = ngc.CapacityOptions(COSTONLY, cache=cache) - want = ngc.capacity(g, 0, 3, ngc.CapacityOptions(COSTONLY)).placed + opts = ngc.QueryOptions(COSTONLY, cache=cache) + want = ngc.capacity(g, 0, 3, ngc.QueryOptions(COSTONLY)).placed assert want == 12 # three spines of 4: the comparisons below are not of zeros assert ngc.capacity(g, 0, 3, opts).placed == want assert stats(cache) == (0, 1, 1) @@ -80,20 +80,18 @@ def test_miss_is_a_dedicated_exception(): def test_frozen_cache_shared_by_every_worker(): g = fabric() pairs = [(0, 3), (1, 4), (2, 5), ([0, 1], [3, 4])] - want = [ - r.placed for r in ngc.batch_capacity(g, pairs, ngc.CapacityOptions(COSTONLY)) - ] + want = [r.placed for r in ngc.batch_capacity(g, pairs, ngc.QueryOptions(COSTONLY))] building = ngc.DagCache(g) with pytest.raises(ValueError, match="workers == 1"): ngc.batch_capacity( - g, pairs, ngc.CapacityOptions(COSTONLY, cache=building), workers=2 + g, pairs, ngc.QueryOptions(COSTONLY, cache=building), workers=2 ) assert all(w > 0 for w in want) # every pair places: the comparison is not of zeros cache = prepopulate(g, [[3], [4], [5], [3, 4]]) for workers in (1, 2, 4): before = stats(cache) got = ngc.batch_capacity( - g, pairs, ngc.CapacityOptions(COSTONLY, cache=cache), workers=workers + g, pairs, ngc.QueryOptions(COSTONLY, cache=cache), workers=workers ) assert [r.placed for r in got] == want assert stats(cache) == (before[0] + 4, before[1], 4), workers # a hit per pair @@ -106,7 +104,7 @@ def test_frozen_cache_shared_by_every_worker(): ngc.batch_capacity( g, pairs[:3], - ngc.CapacityOptions(COSTONLY, cache=partial), + ngc.QueryOptions(COSTONLY, cache=partial), workers=workers, ) assert stats(partial) == (before[0], before[1] + 1, 1), workers @@ -119,15 +117,15 @@ def test_prepopulated_uids_and_intersections(): other = g.eligibility(excluded_edges=[1]) # the intersection with common is new pairs = [(1, 4), (2, 5)] cache = ngc.DagCache(g) - ngc.capacity(g, 1, 4, ngc.CapacityOptions(COSTONLY, elig=narrow, cache=cache)) - ngc.capacity(g, 2, 5, ngc.CapacityOptions(COSTONLY, elig=common, cache=cache)) + ngc.capacity(g, 1, 4, ngc.QueryOptions(COSTONLY, elig=narrow, cache=cache)) + ngc.capacity(g, 2, 5, ngc.QueryOptions(COSTONLY, elig=common, cache=cache)) cache.freeze() - opts = ngc.CapacityOptions(COSTONLY, elig=common, cache=cache) + opts = ngc.QueryOptions(COSTONLY, elig=common, cache=cache) ngc.batch_capacity(g, pairs, opts, [narrow, None], workers=2) # returns the operand ngc.batch_capacity( g, pairs, - ngc.CapacityOptions(COSTONLY, cache=cache), + ngc.QueryOptions(COSTONLY, cache=cache), [narrow, common], workers=2, ) @@ -136,28 +134,24 @@ def test_prepopulated_uids_and_intersections(): ngc.batch_capacity(g, pairs, opts, [other, None], workers=2) -def test_sensitivity_propagates_the_miss_and_global_reads_no_cache(): +def test_sensitivity_propagates_the_miss_and_global_rejects_a_cache(): g = fabric() cache = prepopulate(g, [[4]]) - opts = ngc.SensitivityOptions(COSTONLY, cache=cache) + opts = ngc.QueryOptions(COSTONLY, cache=cache) for workers in (1, 2, 4): before = stats(cache) with pytest.raises(ngc.DagCacheMiss, match=r"roots \{4\}"): ngc.sensitivity(g, 1, 4, opts, workers) assert stats(cache) == (before[0], before[1] + 1, 1), workers # the miss, once - want = ngc.sensitivity(g, [0, 1], [4, 5], ngc.SensitivityOptions(GLOBAL)) - assert want.baseline.placed > 0 - assert any(e.loss > 0 for e in want.entries) # the comparison below is not of zeros + # Only CostOnly reads a DagCache: Global given one is a configuration error at every worker + # count, and the cache is not read. empty = ngc.DagCache(g) empty.freeze() for workers in (1, 2, 4): - got = ngc.sensitivity( - g, [0, 1], [4, 5], ngc.SensitivityOptions(GLOBAL, cache=empty), workers - ) - assert got.baseline.placed == want.baseline.placed - assert [(e.edge, e.loss) for e in got.entries] == [ - (e.edge, e.loss) for e in want.entries - ] + with pytest.raises(ValueError, match=exact("Global does not use DagCache")): + ngc.sensitivity( + g, [0, 1], [4, 5], ngc.QueryOptions(GLOBAL, cache=empty), workers + ) assert stats(empty) == (0, 0, 0) @@ -165,7 +159,7 @@ def test_frozen_lookups_from_python_threads(): g = fabric() cache = prepopulate(g, [[d] for d in range(6)]) want = { - d: ngc.capacity(g, 6, d, ngc.CapacityOptions(COSTONLY)).placed for d in range(6) + d: ngc.capacity(g, 6, d, ngc.QueryOptions(COSTONLY)).placed for d in range(6) } # The spine's one edge of 4 into each leaf: the comparisons below are not of zeros. assert want == dict.fromkeys(range(6), 4) @@ -175,7 +169,7 @@ def reader(t): try: for i in range(60): d = (i + t) % 6 - r = ngc.capacity(g, 6, d, ngc.CapacityOptions(COSTONLY, cache=cache)) + r = ngc.capacity(g, 6, d, ngc.QueryOptions(COSTONLY, cache=cache)) assert r.placed == want[d] except BaseException as exc: # reported below; pytest's own failures included errors.append(exc) @@ -200,7 +194,7 @@ def test_a_failed_call_changes_no_statistic_but_its_miss(): # worker and with several; CostOnly sensitivity drops its baseline's hit the same way. g = fabric() cache = prepopulate(g, [[3]]) - opts = ngc.CapacityOptions(COSTONLY, cache=cache) + opts = ngc.QueryOptions(COSTONLY, cache=cache) for workers in (1, 2, 4): before = stats_of(cache) with pytest.raises(ngc.DagCacheMiss, match=r"roots \{4\}"): @@ -210,9 +204,7 @@ def test_a_failed_call_changes_no_statistic_but_its_miss(): assert stats_of(cache) == plus(before, misses=1) before = stats_of(cache) with pytest.raises(ngc.DagCacheMiss, match=r"roots \{3\}"): - ngc.sensitivity( - g, 0, 3, ngc.SensitivityOptions(COSTONLY, cache=cache), workers - ) + ngc.sensitivity(g, 0, 3, ngc.QueryOptions(COSTONLY, cache=cache), workers) assert stats_of(cache) == plus(before, misses=1) before = stats_of(cache) assert ngc.batch_capacity(g, [(0, 3), (1, 3)], opts, workers=2) @@ -224,7 +216,7 @@ def test_concurrent_calls_keep_every_successful_hit(): # successful capacity (one hit) and a failing batch (its hit dropped, one miss). g = fabric() cache = prepopulate(g, [[3], [4]]) - opts = ngc.CapacityOptions(COSTONLY, cache=cache) + opts = ngc.QueryOptions(COSTONLY, cache=cache) errors = [] def caller(): @@ -290,7 +282,7 @@ def sweep_frozen(cache, fn, args, hits=0, miss=False): def test_frozen_statistics_survive_python_allocation_failures(): g = fabric() cache = prepopulate(g, [[3], [4], [3, 4]]) - opts = ngc.CapacityOptions( + opts = ngc.QueryOptions( COSTONLY, cache=cache, outputs=ALL_OUT, @@ -314,13 +306,13 @@ def test_frozen_statistics_survive_python_allocation_failures(): ) >= 3 ) - sens = ngc.SensitivityOptions(COSTONLY, cache=cache) + sens = ngc.QueryOptions(COSTONLY, cache=cache) assert sweep_frozen(cache, ngc.sensitivity, (g, 0, 3, sens, 1), miss=True) >= 3 # CostOnly sensitivity from a source that reaches no destination: one hit (the baseline's) # and no placed deletion. island = build(3, [(0, 1, 4, 1), (1, 0, 4, 1)]) small = ngc.DagCache(island) - ngc.capacity(island, 0, 1, ngc.CapacityOptions(COSTONLY, cache=small)) + ngc.capacity(island, 0, 1, ngc.QueryOptions(COSTONLY, cache=small)) small.freeze() for workers in (1, 2): assert ( @@ -331,7 +323,7 @@ def test_frozen_statistics_survive_python_allocation_failures(): island, 2, 1, - ngc.SensitivityOptions(COSTONLY, cache=small), + ngc.QueryOptions(COSTONLY, cache=small), workers, ), hits=1, @@ -350,8 +342,8 @@ def test_the_frozen_sweep_rejects_a_wrong_call(): g = fabric() cache = prepopulate(g, [[3]]) other = prepopulate(g, [[3]]) - opts = ngc.CapacityOptions(COSTONLY, cache=cache, outputs=ALL_OUT) - elsewhere = ngc.CapacityOptions(COSTONLY, cache=other, outputs=ALL_OUT) + opts = ngc.QueryOptions(COSTONLY, cache=cache, outputs=ALL_OUT) + elsewhere = ngc.QueryOptions(COSTONLY, cache=other, outputs=ALL_OUT) hit = (g, 0, 3, opts) miss = (g, 0, 5, opts) @@ -428,7 +420,7 @@ def inside_after_translation(*args): assert traceback.extract_tb(info.tb)[-1].line == clause, clause # Made outside the sweep, as every bound object. - uncached = ngc.CapacityOptions(COSTONLY) + uncached = ngc.QueryOptions(COSTONLY) def endless(*args): while True: diff --git a/tests/py/test_docs_examples.py b/tests/py/test_docs_examples.py index 5310baa..523df32 100644 --- a/tests/py/test_docs_examples.py +++ b/tests/py/test_docs_examples.py @@ -107,7 +107,7 @@ def test_semantics_examples_print_their_documented_output(): text = (ROOT / "docs" / "semantics.md").read_text(encoding="utf-8") # The counts are pinned, so an example deleted together with its output is noticed: a # change to the document's examples updates them. - assert check_examples(text, "docs/semantics.md") == (14, 13) + assert check_examples(text, "docs/semantics.md") == (16, 15) def test_readme_quick_start_prints_its_commented_output(): diff --git a/tests/py/test_flow_ledger.py b/tests/py/test_flow_ledger.py index f29de94..6a2fac2 100644 --- a/tests/py/test_flow_ledger.py +++ b/tests/py/test_flow_ledger.py @@ -113,13 +113,13 @@ def test_lifetime_bound_rows_and_epochs(): fg = ngc.FlowLedger(g) p = pinned(fg, 0, 1, [0], EB) r = p.place(0) - assert (r.placed, r.remaining, r.termination, r.local_outcomes) == ( + assert (r.placed, r.remaining, r.termination, r.delivery_delta) == ( 0, 0, T.COMPLETE, - [(0, T.COMPLETE)], + 0, ) - assert (r.routes_changed, r.weights_changed, r.drops, fg.records()) == ( + assert (r.routes_changed, r.weights_changed, r.call_drops, fg.records()) == ( False, False, [], @@ -143,21 +143,26 @@ def test_lifetime_bound_rows_and_epochs(): 0, ) r = p.place(INF) - assert (r.placed, r.termination, r.remaining, r.local_outcomes) == ( + assert (r.placed, r.termination, r.remaining, r.requested) == ( 3, T.EXHAUSTED, INF, - [(0, T.EXHAUSTED)], + INF, ) + assert (r.admitted, r.delivered, r.unadmitted) == (5, 5, None) assert (r.routes_changed, r.weights_changed, r.cost_distribution) == ( False, False, None, ) - with pytest.raises(ValueError, match=r"after \+inf"): - p.place(1) - with pytest.raises(ValueError, match=r"after \+inf"): - p.place(0) + for finite in (1, 0): + with pytest.raises( + ValueError, + match=exact( + "finite placement after infinite placement requires a new epoch" + ), + ): + p.place(finite) old = flow_id(p) p.remove() assert list(fg.allocated()) == [0] @@ -230,7 +235,7 @@ def test_records_fields_and_counters_beyond_64_bits(): assert (rec.owner, rec.sources, rec.destinations) == (0, [0], [3]) # The bundle is the ledger's own PredDAG, shared by every snapshot (not a copy). assert rec.bundle is fg.records()[0].bundle is fg.record(rec.flow_id).bundle - assert (rec.placement, rec.admission) == (EB, LOSSY) + assert rec.admission == LOSSY assert list(rec.bundle.via_edges()) == [0, 1, 2, 3] assert (rec.route_cost, rec.offered, rec.delivered) == (2, 10, 6) assert rec.edges == [(0, 5), (1, 5), (2, 1), (3, 5)] @@ -282,8 +287,8 @@ def test_record_endpoint_sets_are_ascending(): def test_empty_split_graph_keeps_the_route_cost(): # Weighted Residual with every route edge at residual 0 under another owner's flow: the - # record exists at zero delivery with an empty split graph; route_cost is the bundle's - # minimum walk cost, not a split-graph value. + # record exists at zero delivery with an empty split graph (no positive weight: + # NO_ACTIVE_WEIGHT); route_cost is the bundle's minimum walk cost, not a split-graph value. g = build(2, [(0, 1, 2, 3)]) fg = ngc.FlowLedger(g) pinned(fg, 0, 1, [0], MF).place(2) @@ -291,7 +296,7 @@ def test_empty_split_graph_keeps_the_route_cost(): r = w.place(1) assert (r.placed, r.termination, r.routes_changed, r.weights_changed) == ( 0, - T.EXHAUSTED, + T.NO_ACTIVE_WEIGHT, True, False, ) @@ -374,30 +379,18 @@ def rejected(requests): assert state() == before return before - physical = ( - "requests are integer units or +inf (a physical request goes through " - "to_units first; got {})" - ) - out_of_range = "request (units) = {} is out of range [0, 4611686018427387903]" + # One text for every offer outside the domain (contract 14.4). + offer = "offer must be an integer in [0, 2^62) or permitted +inf" bad = [ - (1.5, physical.format("1.5")), - (-1, out_of_range.format(-1)), - (L62, out_of_range.format(L62)), - ] - bad += [ - (True, "request (units) must be an integer (got bool)"), - (-INF, physical.format("-inf")), - (float("nan"), physical.format("nan")), + (value, offer) + for value in (1.5, -1, L62, True, -INF, float("nan"), np.float64(2.0), "1") ] rejected(bad) assert fg.records() == [] assert p.place(np.int64(4)).placed == 4 rejected(bad) p.place(INF) - after_inf = ( - "a finite request after +inf is rejected within an epoch (the cumulative " - "finite request is undefined)" - ) + after_inf = "finite placement after infinite placement requires a new epoch" before = rejected([(1, after_inf), (0, after_inf), *bad]) if HOOKS: assert (before[2]["requested"], before[2]["infinite"]) == (4, True) @@ -428,7 +421,7 @@ def test_pinned_construction_errors(): fg = ngc.FlowLedger(g) with pytest.raises(ValueError, match="malformed bundle"): pinned(fg, 0, 2, [0, 1], MF) - with pytest.raises(ValueError, match="Lossy"): + with pytest.raises(ValueError, match=exact("MAX_FLOW requires admission=LOSSLESS")): pinned(fg, 0, 1, [0], MF, LOSSY) with pytest.raises(ValueError, match="Headroom"): pinned(fg, 0, 1, [0], W, priority=ngc.EdgePriority.HEADROOM) diff --git a/tests/py/test_flow_policy.py b/tests/py/test_flow_policy.py index 9f57e1e..3a59c15 100644 --- a/tests/py/test_flow_policy.py +++ b/tests/py/test_flow_policy.py @@ -14,6 +14,7 @@ import pytest from helpers import ( ALL_OUT, + CAP, COSTONLY, GLOBAL, INF, @@ -47,10 +48,23 @@ def test_configurations_are_structural_and_explicit(): ngc.FlowPolicyConfig( ngc.CostOnly(), ngc.FlowPlacement.MAX_FLOW, ngc.Admission.LOSSLESS, sel() ) + # Keyword-only; every field but the routing has a default: placement, selection and origin + # None, admission LOSSLESS (contract r8 3.1). A wrong class is TypeError. + plain = ngc.FlowPolicyConfig(routing=ngc.CostOnly()) + assert (plain.placement, plain.admission, plain.selection, plain.origin) == ( + None, + ngc.Admission.LOSSLESS, + None, + None, + ) with pytest.raises(TypeError): - ngc.FlowPolicyConfig( - routing=ngc.CostOnly(), placement=ngc.FlowPlacement.MAX_FLOW - ) + ngc.FlowPolicyConfig(placement=ngc.FlowPlacement.MAX_FLOW) + with pytest.raises(TypeError): + ngc.FlowPolicyConfig(routing=ngc.CostOnly(), origin="EQUAL") + with pytest.raises(TypeError): + ngc.FlowPolicyConfig(routing=ngc.CostOnly(), placement=1) + with pytest.raises(TypeError): + ngc.FlowPolicyConfig(routing=ngc.Global(), weights=None) # an unknown keyword with pytest.raises(TypeError, match="incompatible"): ngc.CostOnly(flow_count=2) # a field outside its routing variant: TypeError with pytest.raises(TypeError, match="incompatible"): @@ -110,20 +124,33 @@ def test_configurations_are_structural_and_explicit(): d.diminishing, ) == (1, None, None, 0, False, None) s = sel(ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, RES, False, True) - cfg = config(ngc.Global(), ngc.FlowPlacement.MAX_FLOW, ngc.Admission.LOSSY, s) + cfg = ngc.FlowPolicyConfig( + routing=ngc.Global(), + placement=ngc.FlowPlacement.MAX_FLOW, + admission=ngc.Admission.LOSSY, + selection=s, + origin=ngc.Origin.EQUAL, + ) # a plain value: the combination is checked where it is used assert cfg.placement == ngc.FlowPlacement.MAX_FLOW assert cfg.admission == ngc.Admission.LOSSY assert cfg.selection == s - assert (ngc.OutputOptions().edge_flows, ngc.OutputOptions().residual) == ( - False, - False, - ) - assert ngc.OutputOptions().bottleneck is False - for flags in ((True, False, False), (False, True, False), (False, False, True)): + assert cfg.origin == ngc.Origin.EQUAL + assert ngc.PathSelection() == sel(ngc.EdgeTieBreak.DETERMINISTIC, CAP, True, True) + o = ngc.OutputOptions() + assert (o.edge_flows, o.residual, o.bottleneck, o.min_cut) == (False,) * 4 + for flags in ( + (True, False, False, False), + (False, True, False, False), + (False, False, True, False), + (False, False, False, True), + ): o = ngc.OutputOptions( - edge_flows=flags[0], residual=flags[1], bottleneck=flags[2] + edge_flows=flags[0], + residual=flags[1], + bottleneck=flags[2], + min_cut=flags[3], ) - assert (o.edge_flows, o.residual, o.bottleneck) == flags + assert (o.edge_flows, o.residual, o.bottleneck, o.min_cut) == flags # Pinned keeps the bundles in supply order, copied from the given list: each read is a new # list of the same PredDAG objects, and changing a list read changes nothing. g = diamond() @@ -136,12 +163,29 @@ def test_configurations_are_structural_and_explicit(): first.append(b) second = pinned.bundles assert second == [b, a] and second is not first - # A policy's config is the configuration it was built with. + # A policy's config is the configuration it was built with, its absent origin and selection + # resolved to the model's defaults (Pinned takes no origin). pol = ngc.FlowPolicy( ngc.FlowLedger(g), 0, 3, config(pinned, ngc.FlowPlacement.MAX_FLOW) ) assert pol.config.placement == ngc.FlowPlacement.MAX_FLOW assert pol.config.routing.bundles == [b, a] + assert pol.config.origin is None + for routing, placement, origin in ( + (ngc.CostOnly(), ngc.FlowPlacement.EQUAL_BALANCED, ngc.Origin.EQUAL), + (ngc.CostOnly(), ngc.FlowPlacement.WEIGHTED, ngc.Origin.EQUAL), + (ngc.CostOnly(), ngc.FlowPlacement.MAX_FLOW, ngc.Origin.OPTIMIZED), + (ngc.Global(), None, ngc.Origin.OPTIMIZED), + (ngc.CapacityAware(), ngc.FlowPlacement.MAX_FLOW, ngc.Origin.EQUAL), + ): + got = ngc.FlowPolicy( + ngc.FlowLedger(g), + 0, + 3, + ngc.FlowPolicyConfig(routing=routing, placement=placement), + ).config + assert got.origin == origin + assert got.selection == (None if placement is None else ngc.PathSelection()) # The constructors' own checks: an integer field outside its C++ type raises ValueError; a # field of the wrong class, a reoptimize that is not a truth value and an unknown keyword # raise TypeError. reoptimize takes a bool, a number or None by its truth value. @@ -286,8 +330,17 @@ def rejects(cfg, msg, src=0): config(ngc.CostOnly(), ngc.FlowPlacement.MAX_FLOW, ngc.Admission.LOSSY), LOSSY_KERNEL, ) - rejects(config(ngc.CapacityAware(), admission=ngc.Admission.LOSSY), LOSSY_ROUTING) - rejects(config(ngc.Global()), "Global routing requires placement = MaxFlow") + rejects( + config(ngc.CapacityAware(), admission=ngc.Admission.LOSSY), + "CapacityAware requires admission=LOSSLESS", + ) + rejects( + ngc.FlowPolicyConfig( + routing=ngc.Global(), placement=ngc.FlowPlacement.MAX_FLOW + ), + "Global does not accept placement", + ) + rejects(ngc.FlowPolicyConfig(routing=ngc.CostOnly()), "CostOnly requires placement") rejects( config(ngc.CapacityAware(flow_count=0)), "CapacityAware flow_count must be >= 1 (got 0)", @@ -369,82 +422,132 @@ def rejects(cfg, msg, src=0): assert pol.records() == [] -LOSSY_KERNEL = ( - "Lossy admission is rejected with the MaxFlow kernel: a controller never drops " - "(EqualBalanced or Weighted only)" -) +LOSSY_KERNEL = "MAX_FLOW requires admission=LOSSLESS" HEADROOM_KERNEL = ( "the Weighted kernel is rejected with priority Headroom (weights are units)" ) -LOSSY_ROUTING = ( - "Lossy admission is rejected with Global and CapacityAware routing (hop-by-hop " - "forwarding without admission control neither grows nor reroutes)" -) P = ngc.FlowPlacement A = ngc.Admission - - -def zero_flow_count(): - return ngc.CapacityAware(flow_count=0) +ORIGIN = ngc.Origin @pytest.mark.parametrize( - ("routing", "placement", "admission", "priority", "msg"), + ("routing", "placement", "admission", "selection", "origin", "msg"), [ - (ngc.Global, P.MAX_FLOW, A.LOSSY, "CAPACITY", LOSSY_KERNEL), - (zero_flow_count, P.MAX_FLOW, A.LOSSY, "CAPACITY", LOSSY_KERNEL), - (ngc.Global, P.WEIGHTED, A.LOSSLESS, "HEADROOM", HEADROOM_KERNEL), - (zero_flow_count, P.WEIGHTED, A.LOSSY, "HEADROOM", HEADROOM_KERNEL), - (zero_flow_count, P.EQUAL_BALANCED, A.LOSSY, "CAPACITY", LOSSY_ROUTING), - (ngc.Global, P.WEIGHTED, A.LOSSY, "CAPACITY", LOSSY_ROUTING), + # The rows of the matrix, their columns left to right: placement, origin, admission, + # selection (contract r8 3.2, 14.3, 14.4). + ( + ngc.Global, + P.MAX_FLOW, + A.LOSSY, + True, + ORIGIN.EQUAL, + "Global does not accept placement", + ), + (ngc.Global, None, A.LOSSY, True, ORIGIN.EQUAL, LOSSY_KERNEL), + ( + ngc.Global, + None, + A.LOSSLESS, + True, + ORIGIN.EQUAL, + "Global does not accept selection", + ), + ( + ngc.CostOnly, + None, + A.LOSSY, + True, + ORIGIN.OPTIMIZED, + "CostOnly requires placement", + ), + ( + ngc.CostOnly, + P.EQUAL_BALANCED, + A.LOSSY, + True, + ORIGIN.OPTIMIZED, + "CostOnly with EQUAL_BALANCED or WEIGHTED requires origin=EQUAL", + ), + (ngc.CostOnly, P.MAX_FLOW, A.LOSSY, True, ORIGIN.EQUAL, LOSSY_KERNEL), + ( + ngc.CapacityAware, + P.MAX_FLOW, + A.LOSSY, + True, + ORIGIN.OPTIMIZED, + "T1 requires origin=EQUAL", + ), + ( + ngc.CapacityAware, + P.EQUAL_BALANCED, + A.LOSSY, + True, + None, + "CapacityAware requires admission=LOSSLESS", + ), ], ) def test_several_defects_report_the_first_in_the_contract_order( - routing, placement, admission, priority, msg + routing, placement, admission, selection, origin, msg ): - # Several defects at once: the kernel combinations (Lossy with MaxFlow, - # Weighted with Headroom) before the routing rules (Lossy with Global or CapacityAware, - # Global without MaxFlow, CapacityAware's counts); one exact ValueError text at + # Several defects at once: one exact ValueError text, the first in the matrix's order, at # construction and at the three evaluators (batch_capacity's precheck included); nothing is # bound. g = diamond() fg = ngc.FlowLedger(g) - cfg = config( - routing(), placement, admission, sel(prio=getattr(ngc.EdgePriority, priority)) + cfg = ngc.FlowPolicyConfig( + routing=routing(), + placement=placement, + admission=admission, + selection=sel() if selection else None, + origin=origin, ) with pytest.raises(ValueError) as e: ngc.FlowPolicy(fg, 0, 3, cfg) assert str(e.value) == msg with pytest.raises(ValueError) as e: - ngc.capacity(g, 0, 3, ngc.CapacityOptions(cfg)) + ngc.capacity(g, 0, 3, ngc.QueryOptions(cfg)) assert str(e.value) == msg with pytest.raises(ValueError) as e: - ngc.batch_capacity(g, [(0, 3)], ngc.CapacityOptions(cfg)) + ngc.batch_capacity(g, [(0, 3)], ngc.QueryOptions(cfg)) assert str(e.value) == msg with pytest.raises(ValueError) as e: - ngc.sensitivity(g, 0, 3, ngc.SensitivityOptions(cfg), 1) + ngc.sensitivity(g, 0, 3, ngc.QueryOptions(cfg), 1) assert str(e.value) == msg fg.reset() # nothing bound def test_enum_values_outside_their_enumeration_are_rejected(): - # An enum built from an integer outside the enumeration is a domain error named - # by its field, at every constructor that takes it, so it never reaches a policy or record. + # An enum built from an integer outside the enumeration is a domain error named by its field: + # at PathSelection's constructor, and for FlowPolicyConfig (a plain value) wherever it is used, + # first among its checks, so it never reaches a policy or record. with pytest.raises( ValueError, match="tie_break: 99 is not a value of EdgeTieBreak" ): ngc.PathSelection(ngc.EdgeTieBreak(99), ngc.EdgePriority.CAPACITY) with pytest.raises(ValueError, match="priority: 99 is not a value of EdgePriority"): ngc.PathSelection(ngc.EdgeTieBreak.DETERMINISTIC, ngc.EdgePriority(99)) + g = diamond() for routing in (ngc.CostOnly(), ngc.CapacityAware(), ngc.Global()): - with pytest.raises( - ValueError, match="placement: 99 is not a value of FlowPlacement" - ): - config(routing, ngc.FlowPlacement(99)) - with pytest.raises( - ValueError, match="admission: 99 is not a value of Admission" + for cfg, message in ( + ( + ngc.FlowPolicyConfig(routing=routing, placement=ngc.FlowPlacement(99)), + "placement: 99 is not a value of FlowPlacement", + ), + ( + ngc.FlowPolicyConfig(routing=routing, admission=ngc.Admission(99)), + "admission: 99 is not a value of Admission", + ), + ( + ngc.FlowPolicyConfig(routing=routing, origin=ngc.Origin(99)), + "origin: 99 is not a value of Origin", + ), ): - config(routing, ngc.FlowPlacement.MAX_FLOW, ngc.Admission(99)) + with pytest.raises(ValueError, match=exact(message)): + ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, cfg) + with pytest.raises(ValueError, match=exact(message)): + ngc.capacity(g, 0, 3, ngc.QueryOptions(cfg)) assert len(ngc.FlowPlacement.__members__) == 3 # the loop below is not empty for valid in ngc.FlowPlacement.__members__.values(): assert config(ngc.CostOnly(), valid).placement == valid @@ -456,9 +559,30 @@ def test_placement_result_fields_and_outputs(): pol = ngc.FlowPolicy(fg, [0], [3], COSTONLY) r = pol.place(4) assert (r.placed, r.remaining, r.termination) == (4, 0, T.COMPLETE) - assert r.local_outcomes == [(0, T.COMPLETE)] - assert (r.routes_changed, r.weights_changed, r.drops) == (True, False, []) - assert r.cost_distribution is None + assert not hasattr(r, "local_outcomes") + assert (r.routes_changed, r.weights_changed, r.call_drops) == (True, False, []) + assert (r.delivery_delta, r.call_source_loss, r.drops, r.source_loss) == ( + 4, + 0, + [], + 0, + ) + assert (r.requested, r.offered, r.admitted, r.delivered, r.unadmitted) == ( + 4, + None, + 4, + 4, + 0, + ) + row = r.by_source[0] + assert isinstance(r.by_source, tuple) and len(r.by_source) == 1 + assert (row.source, row.offered, row.admitted, row.delivered) == (0, None, 4, 4) + assert (row.source_loss, row.dropped) == (0, 0) + with pytest.raises(TypeError): + ngc.SourceFlow() + with pytest.raises(AttributeError): + row.delivered = 1 + assert r.cost_distribution is None and r.total_cost is None assert ( r.edge_flows is None and r.residual is None @@ -485,10 +609,7 @@ def test_placement_result_fields_and_outputs(): assert pol.placed_demand() == 7 with pytest.raises( ValueError, - match=exact( - "requests are integer units or +inf (a physical request goes through " - "to_units first; got 1.5)" - ), + match=exact("offer must be an integer in [0, 2^62) or permitted +inf"), ): pol.place(1.5) with pytest.raises(_ConversionFailed): # a float request whose own conversion fails @@ -496,7 +617,10 @@ def test_placement_result_fields_and_outputs(): for bad in (_OverflowingFloat(1.0), _OverflowingIndex()): # its OverflowError too with pytest.raises(OverflowError, match=exact("own conversion")): pol.place(bad) - with pytest.raises(ValueError, match=r"after \+inf"): + with pytest.raises( + ValueError, + match=exact("finite placement after infinite placement requires a new epoch"), + ): pol.place(np.int64(1)) pol.remove() assert pol.records() == [] and list(fg.allocated()) == [0, 0, 0, 0] @@ -505,8 +629,10 @@ def test_placement_result_fields_and_outputs(): fg2 = ngc.FlowLedger(diamond(5, 3, 2)) gl = ngc.FlowPolicy(fg2, 0, 3, GLOBAL) r = gl.place(INF, ngc.OutputOptions(bottleneck=True)) - assert r.cost_distribution == [(2, 5), (4, 3)] - assert sorted(r.min_cut) == ids(diamond(5, 3, 2), [0, 2]) + assert r.cost_distribution == [(2, 5), (4, 3)] and r.min_cut is None + gl.remove() + r = gl.place(INF, ngc.OutputOptions(min_cut=True)) + assert r.min_cut == sorted(ids(diamond(5, 3, 2), [0, 2])) assert [rec.delivered for rec in gl.records()] == [8] @@ -574,10 +700,15 @@ def test_path_cost_ceiling_excludes_a_costlier_route(kernel, ceiling, placed, ro # no route: placed 0, no_route. g = three_routes(2, 2, 2) p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 4, gated(kernel, ceiling)) - r = p.place(10) term = T.NO_ROUTE if placed == 0 else T.EXHAUSTED + if ( + HOOKS + ): # the trace shows the per-source reduction CapacityAware keeps until step 4 + r, trace = p._place_traced(10, ngc.OutputOptions()) + assert trace["local_outcomes"] == {0: term.name.lower()} + else: + r = p.place(10) assert (r.placed, r.remaining, r.termination) == (placed, 10 - placed, term) - assert r.local_outcomes == [(0, term)] assert (r.routes_changed, r.weights_changed) == (bool(routes), False) assert routes_of(g, p) == routes @@ -722,7 +853,7 @@ def test_pinned_usable_bundles_and_records(): ) assert all_down.usable_bundles() == 0 r = all_down.place(1) - assert (r.placed, r.termination, r.local_outcomes) == (0, T.NO_ROUTE, []) + assert (r.placed, r.termination, r.by_source[0].admitted) == (0, T.NO_ROUTE, 0) def test_dag_cache_statistics_and_projection(): @@ -759,7 +890,7 @@ def test_dag_cache_statistics_and_projection(): def test_capacity_batch_and_workers(monkeypatch): g = diamond(5, 3) - opts = ngc.CapacityOptions(GLOBAL, outputs=ngc.OutputOptions(edge_flows=True)) + opts = ngc.QueryOptions(GLOBAL, outputs=ngc.OutputOptions(edge_flows=True)) r = ngc.capacity(g, 0, 3, opts) assert (r.placed, r.termination, r.cost_distribution) == (8, T.EXHAUSTED, [(2, 8)]) assert int(np.sum(r.edge_flows)) == 16 @@ -769,32 +900,32 @@ def test_capacity_batch_and_workers(monkeypatch): want = [5, 0, 5, 8] for workers in (1, 3, None): got = ngc.batch_capacity( - g, pairs, ngc.CapacityOptions(GLOBAL, elig=common), per, workers + g, pairs, ngc.QueryOptions(GLOBAL, elig=common), per, workers ) assert [x.placed for x in got] == want # workers=None reads NGRAPH_CORE_BATCH_THREADS. The count changes only how many threads run, # never a result, so this checks only that the default path with the variable set gives the # same results (its parsing: the C++ test Evaluators.DefaultWorkersParseTheEnvironment). monkeypatch.setenv("NGRAPH_CORE_BATCH_THREADS", "4") - got = ngc.batch_capacity(g, pairs, ngc.CapacityOptions(GLOBAL, elig=common), per) + got = ngc.batch_capacity(g, pairs, ngc.QueryOptions(GLOBAL, elig=common), per) assert [x.placed for x in got] == want - assert ngc.batch_capacity(g, [], ngc.CapacityOptions(GLOBAL)) == [] + assert ngc.batch_capacity(g, [], ngc.QueryOptions(GLOBAL)) == [] with pytest.raises(ValueError, match="node 7"): ngc.batch_capacity( - g, [(0, 3), (0, 7), (0, 8)], ngc.CapacityOptions(GLOBAL), workers=4 + g, [(0, 3), (0, 7), (0, 8)], ngc.QueryOptions(GLOBAL), workers=4 ) with pytest.raises( ValueError, match=exact("per_pair_elig has 1 entries for 4 pairs") ): - ngc.batch_capacity(g, pairs, ngc.CapacityOptions(GLOBAL), [None]) + ngc.batch_capacity(g, pairs, ngc.QueryOptions(GLOBAL), [None]) with pytest.raises(ValueError, match="Pinned"): ngc.batch_capacity( g, pairs, - ngc.CapacityOptions(config(ngc.Pinned([dag_of(g, ids(g, [0, 1]))]))), + ngc.QueryOptions(config(ngc.Pinned([dag_of(g, ids(g, [0, 1]))]))), ) cache = ngc.DagCache(g) - eb = ngc.CapacityOptions(COSTONLY, cache=cache) + eb = ngc.QueryOptions(COSTONLY, cache=cache) with pytest.raises(ValueError, match="workers == 1"): ngc.batch_capacity(g, pairs, eb, workers=2) got = ngc.batch_capacity( @@ -802,25 +933,25 @@ def test_capacity_batch_and_workers(monkeypatch): ) # None with a cache: 1 worker, even with the env set assert [x.placed for x in got] == [7, 7, 5, 7] # EB: [4, 3] over links of 5 and 3 with pytest.raises(ValueError, match="workers"): - ngc.batch_capacity(g, pairs, ngc.CapacityOptions(GLOBAL), workers=0) + ngc.batch_capacity(g, pairs, ngc.QueryOptions(GLOBAL), workers=0) def test_sensitivity_candidates_and_signed_losses(monkeypatch): # Global: an unsaturated critical edge appears. g = build(3, [(0, 1, 9, 1), (1, 2, 4, 1), (0, 2, 2, 5)]) - s = ngc.sensitivity(g, 0, 2, ngc.SensitivityOptions(GLOBAL)) + s = ngc.sensitivity(g, 0, 2, ngc.QueryOptions(GLOBAL)) assert s.baseline.placed == 6 pos = g.input_index() assert {int(pos[e.edge]): e.loss for e in s.entries} == {0: 4, 1: 4, 2: 2} # workers=None reads NGRAPH_CORE_SENSITIVITY_THREADS: the same results on 3 workers (only that # the default path with the variable set works; its parsing is tested in C++). monkeypatch.setenv("NGRAPH_CORE_SENSITIVITY_THREADS", "3") - assert plain(ngc.sensitivity(g, 0, 2, ngc.SensitivityOptions(GLOBAL))) == plain(s) + assert plain(ngc.sensitivity(g, 0, 2, ngc.QueryOptions(GLOBAL))) == plain(s) # A policy model: every allowed edge is a candidate, a zero-capacity one too. Equal splitting # over parallel links of 1, 10 and 0 fits 2 units (a third would cross the zero link); # without the thin link 1 fits, without the wide link 1, without the zero link 2. p = build(2, [(0, 1, 1, 1), (0, 1, 10, 1), (0, 1, 0, 1)]) - opts = ngc.SensitivityOptions(COSTONLY) + opts = ngc.QueryOptions(COSTONLY) s = ngc.sensitivity(p, 0, 1, opts, workers=2) assert s.baseline.placed == 2 pos = p.input_index() @@ -836,8 +967,8 @@ def test_sensitivity_candidates_and_signed_losses(monkeypatch): ngc.sensitivity(p, 0, 0, opts) # The baseline is capacity() with the requested outputs. for cfg in (GLOBAL, COSTONLY): - s = ngc.sensitivity(g, 0, 2, ngc.SensitivityOptions(cfg, outputs=ALL_OUT)) - want = ngc.capacity(g, 0, 2, ngc.CapacityOptions(cfg, outputs=ALL_OUT)) + s = ngc.sensitivity(g, 0, 2, ngc.QueryOptions(cfg, outputs=ALL_OUT)) + want = ngc.capacity(g, 0, 2, ngc.QueryOptions(cfg, outputs=ALL_OUT)) assert want.edge_flows is not None and want.residual is not None assert plain(s.baseline) == plain(want) @@ -848,7 +979,7 @@ def test_evaluator_options_and_results(): g = diamond() el = g.eligibility(excluded_edges=ids(g, [0])) cache = ngc.DagCache(g) - for cls in (ngc.CapacityOptions, ngc.SensitivityOptions): + for cls in (ngc.QueryOptions, ngc.QueryOptions): o = cls(GLOBAL, elig=el, cache=cache, outputs=ngc.OutputOptions(residual=True)) assert ( o.config.placement == GLOBAL.placement and o.elig is el and o.cache is cache @@ -874,8 +1005,8 @@ def test_explicit_workers_win_over_the_environment(monkeypatch): monkeypatch.setenv("NGRAPH_CORE_SENSITIVITY_THREADS", "4") g = diamond(5, 3) building = ngc.DagCache(g) - bopts = ngc.CapacityOptions(COSTONLY, cache=building) - sopts = ngc.SensitivityOptions(COSTONLY, cache=building) + bopts = ngc.QueryOptions(COSTONLY, cache=building) + sopts = ngc.QueryOptions(COSTONLY, cache=building) want = [r.placed for r in ngc.batch_capacity(g, [(0, 3), (1, 3)], bopts, workers=1)] assert want == [7, 5] assert [r.placed for r in ngc.batch_capacity(g, [(0, 3), (1, 3)], bopts)] == want @@ -888,7 +1019,7 @@ def test_explicit_workers_win_over_the_environment(monkeypatch): with pytest.raises(ValueError, match="unless workers == 1"): call() with pytest.raises(ValueError, match=exact("workers must be >= 1 (got 0)")): - ngc.sensitivity(g, 0, 3, ngc.SensitivityOptions(GLOBAL), workers=0) + ngc.sensitivity(g, 0, 3, ngc.QueryOptions(GLOBAL), workers=0) def test_python_keeps_what_a_policy_and_an_option_need_alive(): @@ -899,7 +1030,7 @@ def test_python_keeps_what_a_policy_and_an_option_need_alive(): want = [g.capacity_units().tolist(), g.cost().tolist(), g.edge_dst().tolist()] ledger = ngc.FlowLedger(g) policy = ngc.FlowPolicy(ledger, 0, 3, COSTONLY) - opts = ngc.CapacityOptions( + opts = ngc.QueryOptions( COSTONLY, elig=g.eligibility(excluded_edges=ids(g, [2])), cache=ngc.DagCache(g) ) gc.collect() @@ -938,7 +1069,7 @@ def test_exception_classes_of_conversions(): for big in (10**400, -(10**400)): with pytest.raises( ValueError, - match=exact(f"request (units) = {big} is out of range [0, {L62 - 1}]"), + match=exact("offer must be an integer in [0, 2^62) or permitted +inf"), ): p.place(big) # An index's own failure (a float's: test_placement_result_fields_and_outputs). @@ -978,9 +1109,9 @@ def test_evaluator_results_survive_python_allocation_failures(): # completes returns what a clean call returns. g = diamond(5, 3) calls = [ - (ngc.capacity, (g, 0, 3, ngc.CapacityOptions(GLOBAL))), - (ngc.batch_capacity, (g, [(0, 3), (1, 3)], ngc.CapacityOptions(GLOBAL))), - (ngc.sensitivity, (g, 0, 3, ngc.SensitivityOptions(GLOBAL))), + (ngc.capacity, (g, 0, 3, ngc.QueryOptions(GLOBAL))), + (ngc.batch_capacity, (g, [(0, 3), (1, 3)], ngc.QueryOptions(GLOBAL))), + (ngc.sensitivity, (g, 0, 3, ngc.QueryOptions(GLOBAL))), ] for fn, args in calls: # An evaluator keeps no state between calls: nothing to snapshot. @@ -992,7 +1123,7 @@ def test_batch_reports_the_lowest_failing_pair(): # The arguments first, then each pair completely in pair order, across the # Python/C++ boundary. g = build(2, [(0, 1, 3, 7)]) - opts = ngc.CapacityOptions(GLOBAL) + opts = ngc.QueryOptions(GLOBAL) overlap = ( "node 0 is in both endpoint sets: sources and destinations must not overlap" ) @@ -1021,7 +1152,7 @@ def test_batch_reports_the_lowest_failing_pair(): def test_batch_checks_an_explicit_empty_eligibility_list(): # A given per_pair_elig has one entry per pair, also when it is empty. g = build(2, [(0, 1, 3, 7)]) - opts = ngc.CapacityOptions(GLOBAL) + opts = ngc.QueryOptions(GLOBAL) with pytest.raises( ValueError, match=exact("per_pair_elig has 0 entries for 1 pairs") ): @@ -1034,15 +1165,16 @@ def test_batch_checks_an_explicit_empty_eligibility_list(): def test_global_zero_call_reports_the_cumulative_curve(): # Global's curve is cumulative (its amounts sum to placed_demand()); a zero call - # reports it ([] before the first placement and after remove()), changes nothing and claims - # no cut. + # reports it (None before the epoch's preparation and after remove()), changes nothing and + # claims no cut, even when asked for one. g = build(2, [(0, 1, 3, 7)]) ledger = ngc.FlowLedger(g) p = ngc.FlowPolicy(ledger, 0, 1, GLOBAL) - assert p.place(0).cost_distribution == [] + assert p.place(0).cost_distribution is None assert p.place(2).cost_distribution == [(7, 2)] z = p.place(0, ALL_OUT) assert (z.placed, z.cost_distribution, z.min_cut) == (0, [(7, 2)], None) + assert p.place(0, ngc.OutputOptions(min_cut=True)).min_cut is None # a zero call assert p.placed_demand() == 2 and [int(x) for x in ledger.allocated()] == [2] p.remove() - assert p.place(0).cost_distribution == [] + assert p.place(0).cost_distribution is None diff --git a/tests/py/test_flow_policy_fixtures.py b/tests/py/test_flow_policy_fixtures.py index ac32c14..14cf3b8 100644 --- a/tests/py/test_flow_policy_fixtures.py +++ b/tests/py/test_flow_policy_fixtures.py @@ -24,7 +24,6 @@ import gc import json import math -import sys import traceback from pathlib import Path @@ -43,7 +42,6 @@ "Weighted": ngc.FlowPlacement.WEIGHTED, "EqualBalanced": ngc.FlowPlacement.EQUAL_BALANCED, } -PLACEMENT_NAME = {v: k for k, v in PLACEMENT.items()} ADMISSION = {"Lossless": ngc.Admission.LOSSLESS, "Lossy": ngc.Admission.LOSSY} ADMISSION_NAME = {v: k for k, v in ADMISSION.items()} TIE = { @@ -129,9 +127,11 @@ def config_of(g, c): sel = c["selection"] return ngc.FlowPolicyConfig( routing=routing, - placement=PLACEMENT[c["placement"]], + placement=None if c["placement"] is None else PLACEMENT[c["placement"]], admission=ADMISSION[c["admission"]], - selection=ngc.PathSelection( + selection=None + if sel is None + else ngc.PathSelection( TIE[sel["tie_break"]], PRIORITY[sel["priority"]], sel["multipath"], @@ -144,12 +144,26 @@ def result_json(r): out = { "placed": r.placed, "remaining": "inf" if r.remaining == math.inf else r.remaining, + "delivery_delta": r.delivery_delta, + "call_drops": [[e, x] for e, x in r.call_drops], + "call_source_loss": r.call_source_loss, "termination": r.termination.name.lower(), "routes_changed": r.routes_changed, "weights_changed": r.weights_changed, + "requested": "inf" if r.requested == math.inf else r.requested, + "admitted": r.admitted, + "delivered": r.delivered, + "source_loss": r.source_loss, "drops": [[e, x] for e, x in r.drops], - "local_outcomes": [[s, o.name.lower()] for s, o in r.local_outcomes], + "by_source": [ + [x.source, x.offered, x.admitted, x.delivered, x.source_loss, x.dropped] + for x in r.by_source + ], } + for name in ("offered", "unadmitted", "total_cost"): + value = getattr(r, name) + if value is not None: + out[name] = value if r.cost_distribution is not None: out["cost_distribution"] = [[c, u] for c, u in r.cost_distribution] for name in ("edge_flows", "residual", "bottleneck", "min_cut"): @@ -170,7 +184,6 @@ def ledger_json(fg): "owner": r.owner, "sources": list(r.sources), "destinations": list(r.destinations), - "placement": PLACEMENT_NAME[r.placement], "admission": ADMISSION_NAME[r.admission], "bundle": sorted(int(e) for e in r.bundle.via_edges()), "route_cost": r.route_cost, @@ -229,7 +242,6 @@ def replay(fx, at=None): ledgers: dict[int, object] = {} policies: dict[int, object] = {} alive = [] - curves: dict[int, list] = {} # per policy: the cumulative Global curve of the epoch for i, op in enumerate(fx["ops"]): if at is not None: at.append(i) @@ -282,7 +294,6 @@ def construct(op=op, fg=fg, g=g): pol = construct() alive.append(pol) policies[op["id"]] = (pol, fg) - curves[op["id"]] = [] assert exactly(policy_json(pol), expect["policy"]), where continue pol, fg = policies[op["policy"]] @@ -290,7 +301,6 @@ def construct(op=op, fg=fg, g=g): assert kind not in ("remove", "destroy") or not op["error"], where if kind == "remove": pol.remove() - curves[op["policy"]] = [] assert exactly(ledger_json(fg), expect["ledger"]), where assert exactly(policy_json(pol), expect["policy"]), where continue @@ -306,8 +316,10 @@ def construct(op=op, fg=fg, g=g): volume = math.inf if op["volume"] == "inf" else op["volume"] outputs = None if op["outputs"] is not None: - e, r, b = op["outputs"] - outputs = ngc.OutputOptions(edge_flows=e, residual=r, bottleneck=b) + e, r, b, m = op["outputs"] + outputs = ngc.OutputOptions( + edge_flows=e, residual=r, bottleneck=b, min_cut=m + ) old = ext._max_flows_per_call(op["cap"]) try: if op["error"]: @@ -322,17 +334,7 @@ def construct(op=op, fg=fg, g=g): r, trace = pol._place_traced(volume, outputs) finally: ext._max_flows_per_call(old) - got = result_json(r) - if isinstance(pol.config.routing, ngc.Global): - # Where the reference differs from the library: a Global zero call reports - # the cumulative curve, which the reference omits; it must equal the curve of the - # epoch's last positive call ([] before any), and only then is it set aside. - if volume == 0 and "cost_distribution" not in expect["result"]: - curve = curves[op["policy"]] - assert exactly(got.pop("cost_distribution"), curve), where - if "cost_distribution" in expect["result"]: - curves[op["policy"]] = expect["result"]["cost_distribution"] - assert exactly(got, expect["result"]), where + assert exactly(result_json(r), expect["result"]), where assert exactly(norm(trace), expect["trace"]), where assert exactly(ledger_json(fg), expect["ledger"]), where assert exactly(policy_json(pol), expect["policy"]), where @@ -599,29 +601,18 @@ def changed_state(self): ), (fx["name"], n) assert rejected_calls == 4 monkeypatch.undo() - # Op 2 of global_epochs is a Global zero call on a fresh policy, op 3 a positive call with - # the curve [[1, 1]]. With op 3 moved before op 2, the zero call reports [[1, 1]], the - # remembered curve; a result that reports another cumulative curve must fail there. + # Op 2 of global_epochs is a Global zero call on a fresh policy (nothing prepared: no curve), + # op 3 a positive call with the curve [[1, 1]]. With op 3 moved before op 2, the zero call + # reports the remembered curve [[1, 1]] where the data, recorded before any placement, has + # none: the result line of that operation fails. assert epochs["ops"][2]["volume"] == 0 + assert "cost_distribution" not in epochs["ops"][2]["expect"]["result"] swapped = copy.deepcopy(epochs) swapped["ops"][2], swapped["ops"][3] = swapped["ops"][3], swapped["ops"][2] - zero_call = 'assert exactly(got.pop("cost_distribution"), curve), where' - # Unchanged, the replay passes the zero call's curve and fails only after it, at the ledger - # line of the same operation: its expected ledger is the one from before the positive call. assert _failure(swapped) == ( 3, - 'assert exactly(ledger_json(fg), expect["ledger"]), where', + 'assert exactly(result_json(r), expect["result"]), where', ) - unshifted = result_json - - def shifted(r): - got = unshifted(r) - if got["placed"] == 0 and got.get("cost_distribution"): - got["cost_distribution"] = [[c + 1, u] for c, u in got["cost_distribution"]] - return got - - monkeypatch.setattr(sys.modules[__name__], "result_json", shifted) - assert _failure(swapped) == (3, zero_call) def _corrupt_first_int(x): diff --git a/tests/py/test_native_allocation.py b/tests/py/test_native_allocation.py index b635c16..681df55 100644 --- a/tests/py/test_native_allocation.py +++ b/tests/py/test_native_allocation.py @@ -57,6 +57,14 @@ def graph(): return build(5, EDGES) +POOLED_LOSSY = ngc.FlowPolicyConfig( + routing=ngc.CostOnly(), + placement=ngc.FlowPlacement.EQUAL_BALANCED, + admission=ngc.Admission.LOSSY, +) +GLOBAL_EQUAL = ngc.FlowPolicyConfig(routing=ngc.Global(), origin=ngc.Origin.EQUAL) + + def caps(g): return [int(c) for c in g.capacity_units()] @@ -82,11 +90,11 @@ def make(): return make -def placement(cfg, traced): +def placement(cfg, traced, sources=0): def make(): g = graph() ledger = ngc.FlowLedger(g) - policy = ngc.FlowPolicy(ledger, 0, 4, cfg) + policy = ngc.FlowPolicy(ledger, sources, 4, cfg) policy.place( 2 ) # an earlier call's flows in the same epoch: a failed call keeps them @@ -108,9 +116,9 @@ def snap(): def frozen_cache_capacity(): g = graph() cache = ngc.DagCache(g) - ngc.capacity(g, 0, 4, ngc.CapacityOptions(COSTONLY, cache=cache)) + ngc.capacity(g, 0, 4, ngc.QueryOptions(COSTONLY, cache=cache)) cache.freeze() - opts = ngc.CapacityOptions(COSTONLY, cache=cache, outputs=ALL_OUT) + opts = ngc.QueryOptions(COSTONLY, cache=cache, outputs=ALL_OUT) return ngc.capacity, (g, 0, 4, opts), lambda: stats_of(cache) @@ -160,21 +168,33 @@ def spf_opts(direction=ngc.Direction.FORWARD, multipath=True, **kw): "place.costonly": placement(COSTONLY, traced=False), "place.global": placement(GLOBAL, traced=False), "place_traced.global": placement(GLOBAL, traced=True), + # Two sources: the pooled program's attribution and per-source rows, Lossy accounting, and + # the equal origin's bisection. + "place.costonly_pooled_lossy": placement( + POOLED_LOSSY, traced=False, sources=[0, 1] + ), + "place.global_equal": placement(GLOBAL_EQUAL, traced=False, sources=[0, 1]), + "batch_capacity.global_equal": stateless( + lambda g: ( + ngc.batch_capacity, + (g, [([0, 1], 4), (1, 3)], ngc.QueryOptions(GLOBAL_EQUAL), None, 1), + ) + ), "capacity.global": stateless( lambda g: ( ngc.capacity, - (g, 0, 4, ngc.CapacityOptions(GLOBAL, outputs=ALL_OUT)), + (g, 0, 4, ngc.QueryOptions(GLOBAL, outputs=ALL_OUT)), ) ), "capacity.frozen_cache": frozen_cache_capacity, "batch_capacity.global": stateless( lambda g: ( ngc.batch_capacity, - (g, [(0, 4), (1, 3)], ngc.CapacityOptions(GLOBAL), None, 1), + (g, [(0, 4), (1, 3)], ngc.QueryOptions(GLOBAL), None, 1), ) ), "sensitivity.global": stateless( - lambda g: (ngc.sensitivity, (g, 0, 4, ngc.SensitivityOptions(GLOBAL), 1)) + lambda g: (ngc.sensitivity, (g, 0, 4, ngc.QueryOptions(GLOBAL), 1)) ), } diff --git a/tests/py/test_origin.py b/tests/py/test_origin.py new file mode 100644 index 0000000..f20ab7b --- /dev/null +++ b/tests/py/test_origin.py @@ -0,0 +1,831 @@ +"""The origin and the result of one demand (docs/semantics.md, sections 7 and 10): the +configuration's defaults and table with its error texts and their order, the pooled single-path +rule, the controllers (Global and CostOnly MAX_FLOW) under both origins, min_cut as its own +output, zero calls before and after preparation, the result's accounting and per-source rows, +the terminations and the evaluators. The values are derived by hand (dev/design step-2 LEDGER +rows C, Q, M, G, S, T, I5, I6 and V); the random tests compare the controllers with the +independent equal-origin and optimized references of ``origin_oracle.py``.""" + +from __future__ import annotations + +import random + +import pytest +from helpers import build, dag_of, exact, sel +from origin_oracle import ( + INF, + PooledReference, + distances_to, + equal_origin, + optimized_origin, + rr, +) + +import netgraph_core as ngc + +T = ngc.Termination +P = ngc.FlowPlacement +A = ngc.Admission +ORIGIN = ngc.Origin +ALL = ngc.OutputOptions(edge_flows=True, residual=True, bottleneck=True, min_cut=True) +CUT = ngc.OutputOptions(min_cut=True) + +POOL = [(0, 2, 10, 1), (1, 2, 10, 1), (2, 3, 1, 1), (2, 3, 1, 1)] # {0, 1} -> 3 +B1 = [(0, 3, 2, 1), (1, 2, 10, 1), (2, 3, 10, 2)] # {0, 1} -> 3 +B2 = [(0, 1, 4, 1), (0, 2, 2, 1), (1, 2, 10, 1)] # {0, 1} -> 2 +B2S = [(0, 2, 2, 1), (1, 2, 10, 1)] # {0, 1} -> 2 +B3Z = [(0, 2, 0, 1), (1, 2, 10, 1)] # {0, 1} -> 2 +B3P = [(0, 2, 10, 1), (1, 2, 0, 1)] # {0, 1} -> 2 +ES = [(0, 1, 10, 1), (0, 2, 10, 1), (1, 3, 2, 1), (2, 3, 10, 2)] # 0 -> 3 +R4 = [(0, 2, 2, 9), (1, 2, 10, 1)] # {0, 1} -> 2 +ONE = [(0, 1, 10, 1)] +PAR = [(0, 1, 5, 1), (0, 1, 8, 1)] +ZERO = [(0, 1, 0, 1)] +SPF = [(0, 1, 0, 1), (0, 2, 5, 1), (2, 1, 5, 1)] # 0 -> 1 +ROWS = [(0, 3, 5, 1), (1, 2, 5, 1), (4, 3, 5, 1)] # {0, 1, 4} -> 3, node 4 masked +WIT = [(0, 1, 1, 1), (0, 2, 1, 1), (1, 0, 1, 1)] # 0 -> 2 +PRIV = [(0, 2, 4, 1), (1, 2, 6, 1)] # {0, 1} -> 2 + +Q12 = "CostOnly with multiple input sources rejects multipath=false with PREFER_HIGHER_PRIORITY" +PREFER_PATH = sel(tie=ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, mp=False) + + +def graph(edges): + return build(1 + max(max(u, v) for u, v, *_ in edges), edges) + + +def glob(origin=None): + return ngc.FlowPolicyConfig(routing=ngc.Global(), origin=origin) + + +def cost_only( + placement=P.EQUAL_BALANCED, admission=A.LOSSLESS, selection=None, origin=None +): + return ngc.FlowPolicyConfig( + routing=ngc.CostOnly(), + placement=placement, + admission=admission, + selection=selection, + origin=origin, + ) + + +def rows(r): + return [ + (x.source, x.offered, x.admitted, x.delivered, x.source_loss, x.dropped) + for x in r.by_source + ] + + +def fresh(edges, sources, dests, config, elig=None, residual=None): + g = graph(edges) + ledger = ngc.FlowLedger(g, residual) + e = elig(g) if elig is not None else None + return g, ledger, ngc.FlowPolicy(ledger, sources, dests, config, e) + + +# -- configuration ------------------------------------------------------------------------ + + +def test_defaults_resolve(): + # C1, C2: the defaults are None on the value and resolve at the policy. + c = ngc.FlowPolicyConfig(routing=ngc.CostOnly(), placement=P.EQUAL_BALANCED) + assert (c.origin, c.admission, c.selection) == (None, A.LOSSLESS, None) + g = graph(B1) + p = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, c) + assert (p.config.origin, p.config.selection) == (ORIGIN.EQUAL, ngc.PathSelection()) + for cfg in (cost_only(P.MAX_FLOW), glob()): + assert ( + ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, cfg).config.origin + == ORIGIN.OPTIMIZED + ) + for cfg in (cost_only(P.MAX_FLOW, origin=ORIGIN.EQUAL), glob(ORIGIN.EQUAL)): + assert ( + ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, cfg).config.origin + == ORIGIN.EQUAL + ) + assert ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, glob()).config.selection is None + pinned = ngc.FlowPolicyConfig( + routing=ngc.Pinned([dag_of(g, [0])]), placement=P.MAX_FLOW + ) + assert ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, pinned).config.origin is None + + +def test_conversion_errors(): + # C3: conversion first: positional arguments, an unknown keyword, a string origin. + with pytest.raises(TypeError): + ngc.FlowPolicyConfig(ngc.CostOnly(), P.EQUAL_BALANCED) + with pytest.raises(TypeError): + ngc.FlowPolicyConfig(routing=ngc.CostOnly(), weights=None) + with pytest.raises(TypeError): + ngc.FlowPolicyConfig(routing=ngc.Global(), origin="EQUAL") + + +def test_path_selection_defaults(): + # C17. + assert ngc.PathSelection() == ngc.PathSelection( + ngc.EdgeTieBreak.DETERMINISTIC, ngc.EdgePriority.CAPACITY, True, True + ) + + +@pytest.mark.parametrize( + ("config", "message"), + [ + # C4 to C12. + (ngc.FlowPolicyConfig(routing=ngc.CostOnly()), "CostOnly requires placement"), + ( + ngc.FlowPolicyConfig(routing=ngc.Global(), placement=P.MAX_FLOW), + "Global does not accept placement", + ), + ( + ngc.FlowPolicyConfig(routing=ngc.Global(), selection=ngc.PathSelection()), + "Global does not accept selection", + ), + ( + cost_only(P.EQUAL_BALANCED, origin=ORIGIN.OPTIMIZED), + "CostOnly with EQUAL_BALANCED or WEIGHTED requires origin=EQUAL", + ), + ( + cost_only(P.WEIGHTED, origin=ORIGIN.OPTIMIZED), + "CostOnly with EQUAL_BALANCED or WEIGHTED requires origin=EQUAL", + ), + (cost_only(P.MAX_FLOW, A.LOSSY), "MAX_FLOW requires admission=LOSSLESS"), + ( + ngc.FlowPolicyConfig(routing=ngc.Global(), admission=A.LOSSY), + "MAX_FLOW requires admission=LOSSLESS", + ), + ( + ngc.FlowPolicyConfig( + routing=ngc.CapacityAware(), + placement=P.MAX_FLOW, + origin=ORIGIN.OPTIMIZED, + ), + "T1 requires origin=EQUAL", + ), + ( + ngc.FlowPolicyConfig(routing=ngc.CapacityAware()), + "CapacityAware requires placement", + ), + ( + ngc.FlowPolicyConfig( + routing=ngc.CapacityAware(), + placement=P.EQUAL_BALANCED, + admission=A.LOSSY, + ), + "CapacityAware requires admission=LOSSLESS", + ), + # C13, C14, Q6: the row, then the columns placement, origin, admission, selection. + ( + ngc.FlowPolicyConfig( + routing=ngc.Global(), + placement=P.MAX_FLOW, + admission=A.LOSSY, + selection=ngc.PathSelection(), + ), + "Global does not accept placement", + ), + ( + ngc.FlowPolicyConfig( + routing=ngc.Global(), + origin=ORIGIN.EQUAL, + admission=A.LOSSY, + selection=ngc.PathSelection(), + ), + "MAX_FLOW requires admission=LOSSLESS", + ), + ( + cost_only(P.EQUAL_BALANCED, selection=PREFER_PATH, origin=ORIGIN.OPTIMIZED), + "CostOnly with EQUAL_BALANCED or WEIGHTED requires origin=EQUAL", + ), + ], +) +def test_matrix_texts(config, message): + g = graph(B1) + with pytest.raises(ValueError, match=exact(message)): + ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, config) + with pytest.raises(ValueError, match=exact(message)): + ngc.capacity(g, [0, 1], 3, ngc.QueryOptions(config)) + + +def test_pinned_rows(): + # C8, C10, C12 for Pinned (one source and one destination). + g = graph(B1) + bundles = ngc.Pinned([dag_of(g, [0])]) + for config, message in ( + ( + ngc.FlowPolicyConfig( + routing=bundles, placement=P.MAX_FLOW, origin=ORIGIN.EQUAL + ), + "Pinned does not accept origin", + ), + (ngc.FlowPolicyConfig(routing=bundles), "Pinned requires placement"), + ( + ngc.FlowPolicyConfig( + routing=bundles, placement=P.MAX_FLOW, admission=A.LOSSY + ), + "MAX_FLOW requires admission=LOSSLESS", + ), + ): + with pytest.raises(ValueError, match=exact(message)): + ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, config) + + +def test_cache_rule(): + # C11, C16: only CostOnly reads a DagCache; the table comes first. + g = graph(B1) + cache = ngc.DagCache(g) + pinned = ngc.FlowPolicyConfig( + routing=ngc.Pinned([dag_of(g, [0])]), placement=P.MAX_FLOW + ) + capacity_aware = ngc.FlowPolicyConfig( + routing=ngc.CapacityAware(), placement=P.MAX_FLOW + ) + for config, sources, message in ( + (glob(), [0, 1], "Global does not use DagCache"), + (capacity_aware, [0, 1], "T1 does not use DagCache"), + (pinned, 0, "Pinned does not use DagCache"), + ( + ngc.FlowPolicyConfig(routing=ngc.Global(), placement=P.MAX_FLOW), + [0, 1], + "Global does not accept placement", + ), + ): + with pytest.raises(ValueError, match=exact(message)): + ngc.FlowPolicy(ngc.FlowLedger(g), sources, 3, config, None, cache) + with pytest.raises(ValueError, match=exact(message)): + ngc.capacity(g, sources, 3, ngc.QueryOptions(config, cache=cache)) + with pytest.raises(ValueError, match=exact(message)): + ngc.sensitivity(g, sources, 3, ngc.QueryOptions(config, cache=cache)) + assert cache.stats().misses == 0 and cache.stats().hits == 0 + + +def test_endpoints_before_ownership(): + # C15. + g = graph(B1) + foreign = graph(B1).eligibility(excluded_nodes=[0]) + with pytest.raises(ValueError, match="sources") as e: + ngc.FlowPolicy(ngc.FlowLedger(g), [], 3, glob(), foreign) + assert "foreign" not in str(e.value) + + +def test_amount_texts(): + # C18, C19. + _, _, p = fresh(ONE, 0, 1, cost_only()) + for bad in (-1, 2**62, float("nan"), 1.5, -INF, True): + with pytest.raises( + ValueError, + match=exact("offer must be an integer in [0, 2^62) or permitted +inf"), + ): + p.place(bad) + p.place(INF) + for finite in (1, 0): + with pytest.raises( + ValueError, + match=exact( + "finite placement after infinite placement requires a new epoch" + ), + ): + p.place(finite) + p.remove() + assert p.place(1).placed == 1 + + +# -- the pooled single-path rule (Q12) ------------------------------------------------------ + + +def test_q12(): + g = graph(POOL) + for placement in (P.EQUAL_BALANCED, P.WEIGHTED, P.MAX_FLOW): + config = cost_only(placement, selection=PREFER_PATH) + # Q1, Q3: two input sources, also when the mask leaves one. + for elig in (None, g.eligibility(excluded_nodes=[1])): + with pytest.raises(ValueError, match=exact(Q12)): + ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, config, elig) + with pytest.raises(ValueError, match=exact(Q12)): + ngc.capacity(g, [0, 1], 3, ngc.QueryOptions(config, elig=elig)) + # Q2: one source; Q4: multipath. + assert ngc.FlowPolicy(ngc.FlowLedger(g), [0, 0], 3, config).place(1).placed == 1 + multipath = cost_only( + placement, selection=sel(tie=ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY) + ) + assert ( + ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, multipath).place(2).placed == 2 + ) + # Q7: batch_capacity checks each pair; pair 1 is the lowest failing. + opts = ngc.QueryOptions(cost_only(selection=PREFER_PATH)) + with pytest.raises(ValueError, match=exact(Q12)): + ngc.batch_capacity(g, [([0], 3), ([0, 1], 3)], opts) + assert [r.placed for r in ngc.batch_capacity(g, [([0], 3), ([1], 3)], opts)] == [ + 1, + 1, + ] + + +def test_deterministic_single_paths_pool(): + # Q5: canonical paths 0: [e0, e2], 1: [e1, e2] (equal cost and hops, lower EdgeId e2). + det = sel(mp=False) + _, _, p = fresh(POOL, [0, 1], 3, cost_only(selection=det)) + r = p.place(INF) + assert (r.placed, [x.admitted for x in r.by_source]) == (1, [1, 0]) + # Lossy 2: e2's arrivals (1, 1), carried H(1, [1, 1]) = [1, 0]. + _, _, p = fresh(POOL, [0, 1], 3, cost_only(admission=A.LOSSY, selection=det)) + r = p.place(2) + assert (r.placed, r.call_drops) == (1, [(2, 1)]) + assert rows(r) == [(0, 1, 1, 1, 0, 0), (1, 1, 1, 0, 0, 1)] + assert [list(rec.bundle.via_edges()) for rec in p.records()] == [[0, 2], [1, 2]] + + +# -- the controllers -------------------------------------------------------------------------- + + +@pytest.mark.parametrize( + ("edges", "sources", "dest", "origin", "placed", "cost", "flows"), + [ + (B1, [0, 1], 3, ORIGIN.EQUAL, 4, 8, [2, 2, 2]), # G1 B1-equal + (B1, [0, 1], 3, ORIGIN.OPTIMIZED, 12, 32, [2, 10, 10]), # G2 B1-optimized + (B2, [0, 1], 2, ORIGIN.EQUAL, 12, 16, [4, 2, 10]), # G3 B2-equal-global + (B2, [0, 1], 2, ORIGIN.OPTIMIZED, 12, 12, [0, 2, 10]), # G4 B2-optimized + (B2S, [0, 1], 2, ORIGIN.EQUAL, 4, 4, [2, 2]), # G5 B2-shortest + (B2S, [0, 1], 2, ORIGIN.OPTIMIZED, 12, 12, [2, 10]), # G5 T2-OPT-global + (B3Z, [0, 1], 2, ORIGIN.EQUAL, 0, 0, [0, 0]), # G6 B3-zero-first + (B3P, [0, 1], 2, ORIGIN.EQUAL, 1, 1, [1, 0]), # G6 B3-positive-first + (B3Z, [0, 1], 2, ORIGIN.OPTIMIZED, 10, 10, [0, 10]), # G6 + (ES, 0, 3, ORIGIN.OPTIMIZED, 12, 34, [2, 10, 2, 10]), # G7 E-support + ], +) +def test_global_examples(edges, sources, dest, origin, placed, cost, flows): + request = 10 if edges in (B3Z, B3P) else 12 + _, _, p = fresh(edges, sources, dest, glob(origin)) + r = p.place(request, ngc.OutputOptions(edge_flows=True)) + term = T.COMPLETE if placed == request else T.EXHAUSTED + assert (r.placed, r.remaining, r.termination) == (placed, request - placed, term) + assert (r.total_cost, r.edge_flows.tolist()) == (cost, flows) + if origin == ORIGIN.EQUAL: + assert r.cost_distribution is None + assert [x.admitted for x in r.by_source] == rr(placed, len(r.by_source)) + else: + assert sum(u for _, u in r.cost_distribution) == placed + + +def test_global_records_and_masks(): + # G1 rows; G3 records: source 0's 6 is 2 direct and 4 through node 1. + _, _, p = fresh(B1, [0, 1], 3, glob(ORIGIN.EQUAL)) + assert rows(p.place(12)) == [(0, None, 2, 2, 0, 0), (1, None, 2, 2, 0, 0)] + _, _, p = fresh(B2, [0, 1], 2, glob(ORIGIN.EQUAL)) + p.place(12) + assert [(rec.edges, rec.delivered) for rec in p.records()] == [ + ([(0, 4), (1, 2), (2, 4)], 6), + ([(2, 6)], 6), + ] + # G6 B3-delete-zero: the masked source leaves the roster. + _, _, p = fresh( + B3Z, [0, 1], 2, glob(ORIGIN.EQUAL), lambda g: g.eligibility(excluded_nodes=[0]) + ) + assert p.place(10).placed == 10 + # G11 R3-residual-optimal. + _, _, p = fresh(WIT, 0, 2, glob()) + r = p.place(1, ngc.OutputOptions(edge_flows=True)) + assert (r.edge_flows.tolist(), r.total_cost) == ([0, 1, 0], 1) + + +def test_global_increments(): + # G8 R4-lossless-equal: 3 (RR(3) = (2, 1) fits), then the target 6 admits 4 (RR(5) puts + # 3 on e0 of 2): allocation (2, 2), cost 2 * 9 + 2 * 1. + _, _, p = fresh(R4, [0, 1], 2, glob(ORIGIN.EQUAL)) + a = p.place(3) + b = p.place(3, ngc.OutputOptions(edge_flows=True)) + assert (a.placed, a.termination, b.placed, b.termination) == ( + 3, + T.COMPLETE, + 1, + T.EXHAUSTED, + ) + assert (b.edge_flows.tolist(), b.total_cost, b.requested, b.unadmitted) == ( + [2, 2], + 20, + 6, + 2, + ) + # G9 R4-refusal: refused units are not offered again. + g = graph(ONE) + ledger = ngc.FlowLedger(g) + other = ngc.FlowPolicy(ledger, 0, 1, cost_only()) + other.place(8) + p = ngc.FlowPolicy(ledger, 0, 1, glob()) + assert p.place(5).placed == 2 + other.remove() + other.place(5) + assert p.place(1).placed == 1 + # G10: equal increments end where one call does (the final total solved from zero). + _, _, one = fresh(B2, [0, 1], 2, glob(ORIGIN.EQUAL)) + whole = one.place(12, ngc.OutputOptions(edge_flows=True)) + _, _, two = fresh(B2, [0, 1], 2, glob(ORIGIN.EQUAL)) + two.place(6) + split = two.place(6, ngc.OutputOptions(edge_flows=True)) + assert split.edge_flows.tolist() == whole.edge_flows.tolist() + assert split.total_cost == whole.total_cost + assert [(r.edges, r.delivered) for r in two.records()] == [ + (r.edges, r.delivered) for r in one.records() + ] + + +@pytest.mark.parametrize( + ("edges", "sources", "dest", "origin", "placed", "cost", "records"), + [ + # M1, M2: one controller on the union of the sources' routes. + (B1, [0, 1], 3, ORIGIN.OPTIMIZED, 12, 32, [[(0, 2)], [(1, 10), (2, 10)]]), + (B1, [0, 1], 3, ORIGIN.EQUAL, 4, 8, [[(0, 2)], [(1, 2), (2, 2)]]), + # M3: the support leaves out e0 (0 -> 1 -> 2 costs 2). + (B2, [0, 1], 2, ORIGIN.EQUAL, 4, 4, [[(1, 2)], [(2, 2)]]), + (B2, [0, 1], 2, ORIGIN.OPTIMIZED, 12, 12, [[(1, 2)], [(2, 10)]]), + # M4 E-support-shortest; M5: the support is the zero edge alone, never bypassed. + (ES, 0, 3, ORIGIN.OPTIMIZED, 2, 4, [[(0, 2), (2, 2)]]), + (SPF, 0, 1, ORIGIN.OPTIMIZED, 0, 0, [[]]), + ], +) +def test_cost_only_max_flow(edges, sources, dest, origin, placed, cost, records): + request = 5 if edges is SPF else 12 + _, _, p = fresh(edges, sources, dest, cost_only(P.MAX_FLOW, origin=origin)) + r = p.place(request, CUT) + term = T.COMPLETE if placed == request else T.EXHAUSTED + assert (r.placed, r.termination, r.total_cost) == (placed, term, cost) + assert [rec.edges for rec in p.records()] == records + # M7: no curve and no cut. + assert (r.cost_distribution, r.min_cut) == (None, None) + + +def test_cost_only_max_flow_increments(): + # M6. + _, _, p = fresh(R4, [0, 1], 2, cost_only(P.MAX_FLOW, origin=ORIGIN.EQUAL)) + assert [p.place(3).placed, p.place(3).placed] == [3, 1] + assert p.place(0).total_cost == 20 + + +def test_min_cut_flag(): + # G13 MINCUT-B1 and MINCUT-zero-edge. + for edges, dest in ((B1, 3), (B3Z, 2)): + _, _, p = fresh(edges, [0, 1], dest, glob()) + assert p.place(INF, CUT).min_cut == [0, 1] + # G12: a zero maximum over existing routes is EXHAUSTED; its cut is the zero edge. + _, _, p = fresh(ZERO, 0, 1, glob()) + r = p.place(5, CUT) + assert (r.placed, r.termination, r.min_cut) == (0, T.EXHAUSTED, [0]) + # G14: bottleneck alone, the equal origin, a request below the maximum, a zero call. + _, _, p = fresh(B1, [0, 1], 3, glob()) + assert p.place(INF, ngc.OutputOptions(bottleneck=True)).min_cut is None + _, _, p = fresh(B1, [0, 1], 3, glob(ORIGIN.EQUAL)) + assert p.place(INF, CUT).min_cut is None + _, _, p = fresh(B1, [0, 1], 3, glob()) + assert p.place(5, CUT).min_cut is None + assert p.place(0, CUT).min_cut is None + # G15: an empty roster. + _, _, p = fresh([(1, 0, 5, 1)], 0, 1, glob()) + r = p.place(5, CUT) + assert (r.termination, r.min_cut, r.cost_distribution, r.total_cost) == ( + T.NO_ROUTE, + [], + [], + 0, + ) + + +P40, P39, P41 = 2**40, 2**39, 2**41 +LO32, HI32 = 2**32 - 1, 2**32 + 1 + + +@pytest.mark.parametrize( + ("edges", "sources", "dest", "optimized", "equal"), + [ + # One link of capacity = cost = 2^40. + ([(0, 1, P40, P40)], 0, 1, 2**80, 2**80), + # Optimized fills both links: 2^80 + 2^80; equal stops at T = 2^40 + 1 (shares + # 2^39 + 1 and 2^39): (2^39 + 1) * 2^40 + 2^39 * 2^41. + ( + [(0, 2, P40, P40), (1, 2, P39, P41)], + [0, 1], + 2, + 2**81, + 3 * 2**79 + 2**40, + ), + # Two products of 2^64 - 1: the sum carries into the high half. + ([(0, 1, LO32, HI32), (1, 2, LO32, HI32)], 0, 2, 2**65 - 2, 2**65 - 2), + ], + ids=["product", "two-sources", "carry"], +) +def test_total_cost_beyond_64_bits(edges, sources, dest, optimized, equal): + # The controllers' total_cost is exact beyond 64 bits, under both origins, through place, + # capacity and batch_capacity with workers. + g = graph(edges) + for origin, want in ((ORIGIN.OPTIMIZED, optimized), (ORIGIN.EQUAL, equal)): + assert want >= 2**64 + for config in (glob(origin), cost_only(P.MAX_FLOW, origin=origin)): + p = ngc.FlowPolicy(ngc.FlowLedger(g), sources, dest, config) + assert p.place(INF).total_cost == want + assert ( + ngc.capacity(g, sources, dest, ngc.QueryOptions(config)).total_cost + == want + ) + batch = ngc.batch_capacity( + g, [(sources, dest)] * 2, ngc.QueryOptions(config), workers=2 + ) + assert [r.total_cost for r in batch] == [want, want] + + +# -- zero calls, the result, terminations ---------------------------------------------------- + + +@pytest.mark.parametrize("routing", ["costonly", "global"]) +def test_zero_unprepared(routing): + # I5 RC02-zero-unprepared; I6: after a positive call and after remove(). + config = cost_only() if routing == "costonly" else glob() + g, ledger, p = fresh(PAR, 0, 1, config, residual=[4, 6]) + + def unprepared(r): + assert (r.placed, r.remaining, r.delivery_delta, r.termination) == ( + 0, + 0, + 0, + T.COMPLETE, + ) + assert ( + r.call_drops, + r.call_source_loss, + r.routes_changed, + r.weights_changed, + ) == ( + [], + 0, + False, + False, + ) + assert (r.edge_flows.tolist(), r.residual.tolist()) == ([0, 0], [4, 6]) + assert (r.min_cut, r.cost_distribution, r.requested) == (None, None, 0) + assert rows(r) == [(0, None, 0, 0, 0, 0)] + assert r.total_cost == (0 if routing == "global" else None) + assert p.records() == [] + + unprepared(p.place(0, ALL)) + p.place(3) + r = p.place(0, ALL) + assert (r.placed, r.routes_changed, r.delivered, r.requested) == (0, False, 3, 3) + if routing == "global": + assert r.cost_distribution == [(1, 3)] and r.min_cut is None + p.remove() + unprepared(p.place(0, ALL)) + + +def test_result_accounting(): + # S2: G1 Lossless. + _, _, p = fresh(B1, [0, 1], 3, glob(ORIGIN.EQUAL)) + r = p.place(12) + assert (r.requested, r.offered, r.admitted, r.delivered, r.unadmitted) == ( + 12, + None, + 4, + 4, + 8, + ) + assert ( + r.source_loss, + r.drops, + r.call_drops, + r.call_source_loss, + r.delivery_delta, + ) == ( + 0, + [], + [], + 0, + 4, + ) + # S5: a row for every input source: 4 is masked, 1 has no route. + _, _, p = fresh( + ROWS, [0, 1, 4], 3, cost_only(), lambda g: g.eligibility(excluded_nodes=[4]) + ) + assert rows(p.place(3)) == [ + (0, None, 3, 3, 0, 0), + (1, None, 0, 0, 0, 0), + (4, None, 0, 0, 0, 0), + ] + # S6: total_cost only for the controllers. + g = graph(B1) + for config in ( + cost_only(), + cost_only(P.WEIGHTED), + ngc.FlowPolicyConfig(routing=ngc.CapacityAware(), placement=P.EQUAL_BALANCED), + ): + assert ( + ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, config).place(1).total_cost + is None + ) + pinned = ngc.FlowPolicyConfig( + routing=ngc.Pinned([dag_of(g, [0])]), placement=P.MAX_FLOW + ) + assert ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, pinned).place(1).total_cost is None + + +def test_capacity_aware_and_pinned_in_the_new_shape(): + # S7: CapacityAware keeps its per-source computation: offers 6 and 6. + config = ngc.FlowPolicyConfig( + routing=ngc.CapacityAware(), placement=P.EQUAL_BALANCED + ) + _, _, p = fresh(B1, [0, 1], 3, config) + r = p.place(12) + assert (r.placed, r.termination, r.requested, r.unadmitted) == ( + 8, + T.EXHAUSTED, + 12, + 4, + ) + assert rows(r) == [(0, None, 2, 2, 0, 0), (1, None, 6, 6, 0, 0)] + # S8: Weighted over the zero edge has no member: its offer is lost at the source. + g = graph(ZERO) + for placement, want in ( + (P.WEIGHTED, (0, T.NO_ACTIVE_WEIGHT, 2, [], (0, 2, 2, 0, 2, 0))), + (P.EQUAL_BALANCED, (0, T.COMPLETE, 0, [(0, 2)], (0, 2, 2, 0, 0, 2))), # S9 + ): + config = ngc.FlowPolicyConfig( + routing=ngc.Pinned([dag_of(g, [0])]), placement=placement, admission=A.LOSSY + ) + r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, config).place(2) + assert ( + r.placed, + r.termination, + r.call_source_loss, + r.call_drops, + rows(r)[0], + ) == want + assert (r.offered, r.source_loss) == (2, want[2]) + + +def test_terminations(): + # T1, T2: an empty roster (no edge reaches 1 from 0). + for config in (glob(), cost_only(), cost_only(admission=A.LOSSY)): + _, _, p = fresh([(1, 0, 5, 1)], 0, 1, config) + assert p.place(0).termination == T.COMPLETE + r = p.place(5) + assert (r.placed, r.termination) == (0, T.NO_ROUTE) + if config.admission == A.LOSSY: + # O2: nothing enters: the offer is all source loss and the row stays zero. + assert (r.offered, r.source_loss, r.call_source_loss) == (5, 5, 5) + assert rows(r) == [(0, 0, 0, 0, 0, 0)] + else: + assert (r.offered, r.unadmitted) == (None, 5) + # T3: weighted splitting over the zero edge: no positive weight. + _, _, p = fresh(ZERO, 0, 1, cost_only(P.WEIGHTED, A.LOSSY)) + r = p.place(2) + assert (r.termination, r.call_source_loss, r.offered) == (T.NO_ACTIVE_WEIGHT, 2, 2) + _, _, p = fresh(ZERO, 0, 1, cost_only(P.WEIGHTED)) + r = p.place(2) + assert (r.termination, r.unadmitted) == (T.NO_ACTIVE_WEIGHT, 2) + # T6: a controller at zero over existing routes. + for config in (glob(), cost_only(P.MAX_FLOW)): + _, _, p = fresh( + SPF if config.routing.__class__ is ngc.CostOnly else ZERO, 0, 1, config + ) + assert p.place(5).termination == T.EXHAUSTED + + +def test_result_objects(): + # S11. + _, _, p = fresh(B1, [0, 1], 3, glob(ORIGIN.EQUAL)) + r = p.place(INF) + assert isinstance(r.by_source, tuple) and all( + isinstance(x, ngc.SourceFlow) for x in r.by_source + ) + assert (r.requested, r.remaining) == (INF, INF) + assert isinstance(r.requested, float) + with pytest.raises(AttributeError): + r.by_source[0].admitted = 1 + with pytest.raises(TypeError): + ngc.SourceFlow() + assert "SourceFlow(source=0" in repr(r.by_source[0]) + + +# -- evaluators --------------------------------------------------------------------------------- + + +def test_evaluators(): + g = graph(B1) + # V1, V2. + for config, placed in ( + (glob(ORIGIN.EQUAL), 4), + (glob(), 12), + (cost_only(P.MAX_FLOW), 12), + (cost_only(P.MAX_FLOW, origin=ORIGIN.EQUAL), 4), + (cost_only(), 4), + ): + assert ngc.capacity(g, [0, 1], 3, ngc.QueryOptions(config)).placed == placed + # V3, V4. + assert ( + ngc.capacity(graph(POOL), [0, 1], 3, ngc.QueryOptions(cost_only())).placed == 2 + ) + r = ngc.capacity( + graph(PRIV), [0, 1], 2, ngc.QueryOptions(cost_only(admission=A.LOSSY)) + ) + assert (r.delivered, r.offered, r.requested, r.termination) == ( + 10, + 10, + INF, + T.EXHAUSTED, + ) + # V5. + pairs = [([0, 1], 3), (0, 3), (1, 3)] + got = ngc.batch_capacity(g, pairs, ngc.QueryOptions(glob(ORIGIN.EQUAL))) + assert [x.placed for x in got] == [4, 2, 10] + # V6 B3-delete-zero: every allowed edge is a candidate under the equal origin. + for workers in (1, 2): + s = ngc.sensitivity( + graph(B3Z), [0, 1], 2, ngc.QueryOptions(glob(ORIGIN.EQUAL)), workers + ) + assert (s.baseline.placed, [(e.edge, e.loss) for e in s.entries]) == ( + 0, + [(0, -10), (1, 0)], + ) + # V7: pooled CostOnly: deleting e0 takes source 0 out of the roster. + s = ngc.sensitivity(g, [0, 1], 3, ngc.QueryOptions(cost_only())) + assert (s.baseline.placed, [(e.edge, e.loss) for e in s.entries]) == ( + 4, + [(0, -6), (1, 2), (2, 2)], + ) + + +# -- random controllers against the references ------------------------------------------------ + + +def random_controller_case(rng): + n = rng.randint(3, 6) + nodes = list(range(n)) + rng.shuffle(nodes) + k = rng.randint(2, min(3, n - 1)) if rng.random() < 0.8 else 1 + sources = nodes[:k] + dests = nodes[k : k + rng.randint(1, min(2, n - k))] + edges = [] + for _ in range(rng.randint(n, 2 * n + 2)): + u = rng.randrange(n) + v = rng.choice(dests) if rng.random() < 0.3 else rng.randrange(n) + if u != v: + edges.append((u, v, rng.randint(0, 4), rng.randint(1, 4))) + if not edges: + edges.append((sources[0], dests[0], 1, 1)) + return n, edges, sources, dests + + +@pytest.mark.parametrize("seed", range(300)) +def test_controllers_random(seed): + # G16, M8: Global and CostOnly MAX_FLOW under both origins on random graphs with masks and + # nonuniform costs: the delivery, the minimum cost and (equal) the supplies RR(T) equal the + # references; increments re-solve the admitted total plus the request. + rng = random.Random(seed) + n, edges, sources, dests = random_controller_case(rng) + g = build(n, edges) + m = g.num_edges() + xn = [ + v + for v in range(n) + if v not in sources and v not in dests and rng.random() < 0.15 + ] + xe = [e for e in range(m) if rng.random() < 0.1] + elig = g.eligibility(excluded_nodes=xn, excluded_edges=xe) + src = [int(x) for x in g.edge_src()] + dst = [int(x) for x in g.edge_dst()] + cost = [int(x) for x in g.cost()] + cap = [int(x) for x in g.capacity_units()] + node_ok = [v not in xn for v in range(n)] + edge_ok = [e not in xe and node_ok[src[e]] and node_ok[dst[e]] for e in range(m)] + dist = distances_to(n, src, dst, cost, set(dests), node_ok, edge_ok) + roster = sorted(s for s in set(sources) if dist[s] is not None) + ref = PooledReference( + g, sources, dests, "EB", False, cap, excluded_nodes=xn, excluded_edges=xe + ) + support = [False] * m + if ref.roster: + ref._prepare() + for s in ref.roster: + for e in ref.route[s]: + support[e] = True + for routing, allowed in (("global", edge_ok), ("costonly", support)): + for origin in (ORIGIN.EQUAL, ORIGIN.OPTIMIZED): + config = ( + glob(origin) + if routing == "global" + else cost_only(P.MAX_FLOW, origin=origin) + ) + oracle = equal_origin if origin == ORIGIN.EQUAL else optimized_origin + best, best_cost = oracle(g, roster, dests, cap, allowed) + r = ngc.capacity(g, sources, dests, ngc.QueryOptions(config, elig=elig)) + where = (seed, routing, origin.name) + assert (r.placed, r.total_cost) == (best, best_cost), where + if origin == ORIGIN.EQUAL: + admitted = {x.source: x.admitted for x in r.by_source} + assert [admitted[s] for s in roster] == rr(best, len(roster)), where + # Increments: a then b admit min(max, a) and then min(max, that + b). + a, b = rng.randint(0, 6), rng.randint(0, 6) + p = ngc.FlowPolicy(ngc.FlowLedger(g), sources, dests, config, elig) + first = p.place(a) + second = p.place(b) + want_a = min(best, a) + want_b = min(best, want_a + b) + assert (first.placed, second.placed) == (want_a, want_b - want_a), where + _, cost_b = oracle(g, roster, dests, cap, allowed, want_b) + assert second.total_cost == cost_b, where diff --git a/tests/py/test_pooled.py b/tests/py/test_pooled.py new file mode 100644 index 0000000..f83dfc3 --- /dev/null +++ b/tests/py/test_pooled.py @@ -0,0 +1,369 @@ +"""Pooled CostOnly sources (docs/semantics.md, section 7): one split per shared router, +attribution to sources by highest averages, the equal origin's entry that cannot pass anything, +Lossy forwarding through a source, weights read once per epoch, the first-hop experiment, +increments and epochs. The values are derived by hand (dev/design step-2 LEDGER rows P1 to P17 +and I1 to I4); the random tests compare every field with the independent reference of +``origin_oracle.py`` and check that each source's record uses only its own route.""" + +from __future__ import annotations + +import random + +import pytest +from helpers import build, dag_of, exact, sel +from origin_oracle import INF, PooledReference + +import netgraph_core as ngc + +T = ngc.Termination +EB = ngc.FlowPlacement.EQUAL_BALANCED +W = ngc.FlowPlacement.WEIGHTED +LOSSY = ngc.Admission.LOSSY +LOSSLESS = ngc.Admission.LOSSLESS +EDGES = ngc.OutputOptions(edge_flows=True) + +# The graphs of the ledger, every edge written in EdgeId order: (u, v, capacity, cost). +POOL = [(0, 2, 10, 1), (1, 2, 10, 1), (2, 3, 1, 1), (2, 3, 1, 1)] # {0, 1} -> 3 +B1 = [(0, 3, 2, 1), (1, 2, 10, 1), (2, 3, 10, 2)] # {0, 1} -> 3 +B3Z = [(0, 2, 0, 1), (1, 2, 10, 1)] # {0, 1} -> 2 +B3P = [(0, 2, 10, 1), (1, 2, 0, 1)] # {0, 1} -> 2 +CHAIN = [(0, 2, 3, 1), (1, 0, 10, 1)] # {0, 1} -> 2: source 1's route passes source 0 +SNAP = [(0, 2, 10, 1), (1, 2, 10, 1), (2, 3, 10, 1), (2, 3, 10, 1)] # {0, 1} -> 3 +PRIV = [(0, 2, 4, 1), (1, 2, 6, 1)] # {0, 1} -> 2 +INC = [(0, 2, 1, 1), (1, 2, 3, 1)] # {0, 1} -> 2 +ONE = [(0, 1, 10, 1)] +RC = [(0, 1, 1, 1), (0, 1, 1, 1)] + + +def cfg(placement=EB, admission=LOSSLESS, selection=None): + return ngc.FlowPolicyConfig( + routing=ngc.CostOnly(), + placement=placement, + admission=admission, + selection=selection, + ) + + +def policy(edges, sources, dest, config, n=None, residual=None): + g = build(n or 1 + max(max(u, v) for u, v, *_ in edges), edges) + ledger = ngc.FlowLedger(g, residual) + return g, ledger, ngc.FlowPolicy(ledger, sources, dest, config) + + +def rows(r): + """by_source as (source, offered, admitted, delivered, source_loss, dropped) tuples.""" + return [ + (x.source, x.offered, x.admitted, x.delivered, x.source_loss, x.dropped) + for x in r.by_source + ] + + +def records(p): + """Per record: (its one source, its edges, its delivery).""" + return [(rec.sources, rec.edges, rec.delivered) for rec in p.records()] + + +def test_b_pooled(): + # P1: RR(2, 2) = (1, 1) injected; router 2 holds 2 and splits (1, 1) over e2, e3; e2's unit + # goes to source 0 by H(1, [1, 1]) = [1, 0], e3's to source 1. Split separately, both units + # would take e2 (capacity 1) and only 1 would fit. + _, _, p = policy(POOL, [0, 1], 3, cfg()) + r = p.place(2, EDGES) + assert (r.placed, r.termination, r.edge_flows.tolist()) == ( + 2, + T.COMPLETE, + [1, 1, 1, 1], + ) + assert rows(r) == [(0, None, 1, 1, 0, 0), (1, None, 1, 1, 0, 0)] + assert records(p) == [([0], [(0, 1), (2, 1)], 1), ([1], [(1, 1), (3, 1)], 1)] + # P2: 3 would give e2 two units: the unlimited request admits 2. + _, _, p = policy(POOL, [0, 1], 3, cfg()) + r = p.place(INF) + assert (r.placed, r.remaining, r.termination) == (2, INF, T.EXHAUSTED) + assert (r.requested, r.unadmitted, r.offered) == (INF, None, None) + # P3: capacity weights (1, 1) are equal: highest averages is the round robin. + _, _, p = policy(POOL, [0, 1], 3, cfg(W)) + assert p.place(2).placed == 2 + + +def test_lossy_attribution_by_arrivals(): + # P4: injections (2, 2); router 2 holds 4: (2, 2) over e2, e3, each attributed + # H(2, [2, 2]) = [1, 1] (then [1, 1] remain for e3); each edge carries 1 of its 2 arrivals, + # H(1, [1, 1]) = [1, 0]: source 0 delivers 2, source 1 drops one unit on each. + _, _, p = policy(POOL, [0, 1], 3, cfg(admission=LOSSY)) + r = p.place(4) + assert (r.placed, r.termination, r.call_drops) == (2, T.COMPLETE, [(2, 1), (3, 1)]) + assert rows(r) == [(0, 2, 2, 2, 0, 0), (1, 2, 2, 0, 0, 2)] + assert (r.offered, r.admitted, r.unadmitted, r.drops) == (4, 4, 0, [(2, 1), (3, 1)]) + + +@pytest.mark.parametrize( + ("edges", "lossless"), + [(B3Z, 0), (B3P, 1)], + ids=["B3-zero-first", "B3-positive-first"], +) +def test_b3(edges, lossless): + # P5, P6: Lossless admits a total only when it gives the source behind the zero edge + # nothing: RR(1) gives source 0 the unit, RR(2) gives source 1 one. + _, _, p = policy(edges, [0, 1], 2, cfg()) + r = p.place(10) + assert (r.placed, r.termination) == (lossless, T.EXHAUSTED) + assert [rec.delivered for rec in p.records()] == [lossless, 0] + # P9: the same with weights: a share without a usable route is not admitted. + _, _, p = policy(edges, [0, 1], 2, cfg(W)) + assert p.place(10).placed == lossless + + +def test_lossy_entry_that_cannot_pass(): + # P7: EB keeps the zero edge and drops source 0's 5 there. + _, _, p = policy(B3Z, [0, 1], 2, cfg(admission=LOSSY)) + r = p.place(10) + assert (r.placed, r.termination, r.call_drops, r.call_source_loss) == ( + 5, + T.COMPLETE, + [(0, 5)], + 0, + ) + # P8: W gives the zero edge weight 0: source 0 has no member, its 5 is lost at the source. + _, _, p = policy(B3Z, [0, 1], 2, cfg(W, LOSSY)) + r = p.place(10) + assert (r.placed, r.termination, r.call_drops, r.call_source_loss) == ( + 5, + T.COMPLETE, + [], + 5, + ) + assert rows(r) == [(0, 5, 5, 0, 5, 0), (1, 5, 5, 5, 0, 0)] + assert (r.offered, r.source_loss, r.delivered) == (10, 5, 5) + + +def test_equal_origin_limits_the_total(): + # P10: RR(5, 2) = (3, 2) would put 3 on e0 (capacity 2): 4, rows (2, 2). + _, _, p = policy(B1, [0, 1], 3, cfg()) + r = p.place(12) + assert (r.placed, r.termination) == (4, T.EXHAUSTED) + assert [x.delivered for x in r.by_source] == [2, 2] + # P11: Lossy offers (6, 6): source 0 drops 4 on e0. + _, _, p = policy(B1, [0, 1], 3, cfg(admission=LOSSY)) + r = p.place(12) + assert (r.placed, r.call_drops) == (8, [(0, 4)]) + + +def test_transit_through_a_source(): + # P12: injections (5, 5); e1 carries source 1's 5 to node 0, which holds 10 for e0 (3): + # carried H(3, [5, 5]) = [2, 1]. + _, _, p = policy(CHAIN, [0, 1], 2, cfg(admission=LOSSY)) + r = p.place(10) + assert (r.placed, r.call_drops) == (3, [(0, 7)]) + assert rows(r) == [(0, 5, 5, 2, 0, 3), (1, 5, 5, 1, 0, 4)] + assert records(p) == [([0], [(0, 2)], 2), ([1], [(0, 1), (1, 5)], 1)] + # P13: Lossless: e0 carries the whole total, so 3, as RR(3) = (2, 1). + _, _, p = policy(CHAIN, [0, 1], 2, cfg()) + r = p.place(INF) + assert (r.placed, [x.delivered for x in r.by_source]) == (3, [2, 1]) + # P17: the first-hop experiment: source 0 injects e0's 3, source 1 e1's 10; node 0 adds + # source 1's 10 of transit on e0: arrivals (3, 10), carried H(3, [3, 10]) = [0, 3]. + _, _, p = policy(CHAIN, [0, 1], 2, cfg(admission=LOSSY)) + r = p.place(INF) + assert (r.placed, r.termination, r.requested, r.offered) == ( + 3, + T.EXHAUSTED, + INF, + 13, + ) + assert r.drops == [(0, 10)] + assert rows(r) == [(0, 3, 3, 0, 0, 3), (1, 10, 10, 3, 0, 7)] + + +def test_residual_weights_on_the_common_view(): + # P14: weights read once, on the residual at the first positive call's entry: e2 2, e3 10; + # router 2: H(12, [2, 10]) = (2, 10); RR(12) = (6, 6); each member attributed by highest + # averages over what the sources still hold: e2 H(2, [6, 6]) = [1, 1], e3 H(10, [5, 5]). + pick = sel(prio=ngc.EdgePriority.RESIDUAL) + _, _, p = policy(SNAP, [0, 1], 3, cfg(W, selection=pick), residual=[10, 10, 2, 10]) + r = p.place(INF) + assert (r.placed, [x.delivered for x in r.by_source]) == (12, [6, 6]) + assert records(p) == [ + ([0], [(0, 6), (2, 1), (3, 5)], 6), + ([1], [(1, 6), (2, 1), (3, 5)], 6), + ] + + +def test_weights_frozen_for_the_epoch(): + # P15: another owner holds 8 of e2 at the first call: weights (2, 10) for the epoch, also + # after the owner leaves (weights read again would give [6, 6, 6, 6]). + g = build(4, SNAP) + ledger = ngc.FlowLedger(g) + pinned = ngc.FlowPolicyConfig(routing=ngc.Pinned([dag_of(g, [2])]), placement=EB) + other = ngc.FlowPolicy(ledger, 2, 3, pinned) + assert other.place(8).placed == 8 + pick = sel(prio=ngc.EdgePriority.RESIDUAL) + p = ngc.FlowPolicy(ledger, [0, 1], 3, cfg(W, selection=pick)) + assert p.place(2).placed == 2 + other.remove() + r = p.place(10, EDGES) + assert (r.placed, r.edge_flows.tolist()) == (10, [6, 6, 2, 10]) + + +def test_first_hop_experiment(): + # P16: every source injects its first edges' residual: 4 + 6. + _, _, p = policy(PRIV, [0, 1], 2, cfg(admission=LOSSY)) + r = p.place(INF) + assert (r.placed, r.termination, r.requested, r.offered) == ( + 10, + T.EXHAUSTED, + INF, + 10, + ) + for finite in (1, 0): + with pytest.raises( + ValueError, + match=exact( + "finite placement after infinite placement requires a new epoch" + ), + ): + p.place(finite) + + +def test_inc(): + # I1: RR(3) = (2, 1) does not fit e0 (1): call 1 admits 2; call 2 targets 3 again: 0. + _, _, p = policy(INC, [0, 1], 2, cfg()) + a, b = p.place(3), p.place(1) + assert (a.placed, a.termination, b.placed, b.termination) == ( + 2, + T.EXHAUSTED, + 0, + T.EXHAUSTED, + ) + assert (b.requested, b.admitted, b.unadmitted, b.offered) == (4, 2, 2, None) + # I2: Lossy: call 1 injects (2, 1) and drops 1 on e0; call 2 injects RR(4) - RR(3) = (0, 1). + _, _, p = policy(INC, [0, 1], 2, cfg(admission=LOSSY)) + a, b = p.place(3), p.place(1) + assert (a.placed, a.call_drops, b.placed, b.call_drops) == (2, [(0, 1)], 1, []) + assert (b.requested, b.offered, b.delivered, b.drops, b.unadmitted) == ( + 4, + 4, + 3, + [(0, 1)], + 0, + ) + assert rows(b) == [(0, 2, 2, 1, 0, 1), (1, 2, 2, 2, 0, 0)] + # I3: another owner holds 8 of 10: call 1 admits 2; it leaves and places 5; call 2 targets + # 3 on the free 3 plus the policy's own 2. + g = build(2, ONE) + ledger = ngc.FlowLedger(g) + other = ngc.FlowPolicy(ledger, 0, 1, cfg()) + other.place(8) + p = ngc.FlowPolicy(ledger, 0, 1, cfg()) + assert p.place(5).placed == 2 + other.remove() + other.place(5) + r = p.place(1) + assert (r.placed, r.requested, r.admitted, r.unadmitted) == (1, 6, 3, 3) + # I4: two parallel unit edges: Lossy 1 then 1 drops the second unit on e0 (RR(1) again); + # one call of 2 carries both; Lossless 1 then 1 fills both. + _, _, p = policy(RC, 0, 1, cfg(admission=LOSSY)) + assert [p.place(1).placed, p.place(1).placed] == [1, 0] + _, _, p = policy(RC, 0, 1, cfg(admission=LOSSY)) + assert p.place(2).placed == 2 + _, _, p = policy(RC, 0, 1, cfg()) + assert [p.place(1).placed, p.place(1, EDGES).edge_flows.tolist()] == [1, [1, 1]] + + +def random_case(rng): + """A small graph (cycles and parallel edges allowed), usually several sources, and edges + biased toward the destinations so that most sources have a route.""" + n = rng.randint(3, 7) + nodes = list(range(n)) + rng.shuffle(nodes) + k = rng.randint(2, min(3, n - 1)) if rng.random() < 0.8 else 1 + sources = nodes[:k] + dests = nodes[k : k + rng.randint(1, min(2, n - k))] + edges = [] + for _ in range(rng.randint(n, 2 * n + 3)): + u = rng.randrange(n) + v = rng.choice(dests) if rng.random() < 0.3 else rng.randrange(n) + if u != v: + edges.append((u, v, rng.choice([0, 1, 2, 3, 5, 8]), rng.randint(1, 3))) + if not edges: + edges.append((sources[0], dests[0], 1, 1)) + return n, edges, sources, dests + + +def compare(where, r, want, p): + got = { + "placed": r.placed, + "termination": r.termination.name, + "call_drops": r.call_drops, + "call_source_loss": r.call_source_loss, + "requested": r.requested, + "offered": r.offered, + "admitted": r.admitted, + "delivered": r.delivered, + "unadmitted": r.unadmitted, + "source_loss": r.source_loss, + "drops": r.drops, + "by_source": rows(r), + "records": {rec.sources[0]: (rec.edges, rec.delivered) for rec in p.records()}, + } + for key, value in want.items(): + assert got[key] == value, (where, key, got[key], value) + + +@pytest.mark.parametrize("seed", range(400)) +def test_random_against_reference(seed): + # P19: random graphs with masks, zero-capacity edges, nonuniform costs and a partial + # residual; EB and W (capacity or residual weights), both admissions, multipath or the + # canonical path; a series of calls. Every field equals the reference, the accounting + # identities hold, and (P18) each record's edges lie in its own route. + rng = random.Random(seed) + n, edges, sources, dests = random_case(rng) + g = build(n, edges) + m = g.num_edges() + cap = [int(x) for x in g.capacity_units()] + residual = [rng.randint(0, c) if rng.random() < 0.3 else c for c in cap] + xn = [ + v + for v in range(n) + if v not in sources and v not in dests and rng.random() < 0.15 + ] + xe = [e for e in range(m) if rng.random() < 0.1] + kernel = rng.choice(["EB", "W"]) + lossy = rng.random() < 0.5 + multipath = rng.random() < 0.7 + priority = rng.choice(["CAPACITY", "RESIDUAL"]) if kernel == "W" else "CAPACITY" + selection = sel( + prio=getattr(ngc.EdgePriority, priority), + mp=multipath, + ) + config = cfg(EB if kernel == "EB" else W, LOSSY if lossy else LOSSLESS, selection) + ledger = ngc.FlowLedger(g, residual) + elig = g.eligibility(excluded_nodes=xn, excluded_edges=xe) + p = ngc.FlowPolicy(ledger, sources, dests, config, elig) + ref = PooledReference( + g, sources, dests, kernel, lossy, residual, multipath, priority, xn, xe + ) + calls = [rng.choice([0, 1, 2, 3, 5, 9]) for _ in range(rng.randint(1, 4))] + if rng.random() < 0.3: + calls.append(INF) + for i, volume in enumerate(calls): + r = p.place(volume) + want = ref.place(volume) + compare((seed, i, volume), r, want, p) + if lossy: + assert r.offered == r.source_loss + sum(x for _, x in r.drops) + r.delivered + elif volume != INF and not ref.infinite: + assert r.requested == r.unadmitted + r.delivered + for field in ("admitted", "delivered", "source_loss", "dropped"): + total = sum(getattr(x, field) for x in r.by_source) + state = r.drops if field == "dropped" else getattr(r, field) + if field == "dropped": + state = sum(x for _, x in state) + if ref.roster or not lossy: + assert total == state, (seed, field) + for rec in p.records(): + route = {int(e) for e in rec.bundle.via_edges()} + assert {e for e, _ in rec.edges} <= route, (seed, rec.sources) + assert {e for e, _ in rec.drops} <= route, (seed, rec.sources) + allocated = ledger.allocated().tolist() + assert all(0 <= a <= c for a, c in zip(allocated, residual, strict=True)), seed diff --git a/tests/py/test_public_surface.py b/tests/py/test_public_surface.py index f7eb706..2c5643d 100644 --- a/tests/py/test_public_surface.py +++ b/tests/py/test_public_surface.py @@ -27,6 +27,7 @@ "PathSelection", "FlowPlacement", "Admission", + "Origin", "FlowLedger", "FlowRecord", "Absolute", @@ -40,13 +41,13 @@ "OutputOptions", "Termination", "PlacementResult", + "SourceFlow", "FlowPolicy", "MAX_FLOWS_PER_CALL", "DagCache", "DagCacheMiss", "DagCacheStats", - "CapacityOptions", - "SensitivityOptions", + "QueryOptions", "SensitivityEntry", "SensitivityResult", "capacity", @@ -140,6 +141,8 @@ def test_signatures_name_registered_types_only(): "Outputs", "Diminishing", "kMaxFlowsPerCall", + "CapacityOptions", + "SensitivityOptions", } # The retired search entry points, their option types and the private name _spf: never bound. @@ -156,10 +159,21 @@ def test_signatures_name_registered_types_only(): } +# Retired members: PlacementResult's per-source termination list (the result reports one +# termination and per-source rows in by_source) and FlowRecord's kernel (only ever written). +RETIRED_MEMBERS = {"PlacementResult": {"local_outcomes"}, "FlowRecord": {"placement"}} + + def test_retired_spellings_are_absent(): for name in RETIRED | RETIRED_SEARCH: assert not hasattr(_netgraph_core, name), name assert not hasattr(ngc, name), name + for cls, members in RETIRED_MEMBERS.items(): + for member in members: + assert not hasattr(getattr(ngc, cls), member), (cls, member) + # FlowPolicyConfig takes keywords only: no positional spelling. + with pytest.raises(TypeError): + ngc.FlowPolicyConfig(ngc.CostOnly(), ngc.FlowPlacement.MAX_FLOW) assert ngc.Graph.__name__ == "Graph" assert ngc.FlowLedger.__name__ == "FlowLedger" assert ngc.OutputOptions.__name__ == "OutputOptions" @@ -198,8 +212,7 @@ def _refusal_inputs(): g=g, ledger=ngc.FlowLedger(g), cfg=cfg, - capacity=ngc.CapacityOptions(cfg), - sensitivity=ngc.SensitivityOptions(cfg), + query=ngc.QueryOptions(cfg), spf=ngc.SpfOptions(ngc.Direction.FORWARD, sel()), ksp=ngc.KspOptions(1, sel()), dag=ngc.Path(g, [[0], [1]]).to_dag(), @@ -245,17 +258,17 @@ def _refusal_inputs(): GRAPH, ), "capacity-graph-None": ( - lambda s: ngc.capacity(None, 0, 2, s.capacity), + lambda s: ngc.capacity(None, 0, 2, s.query), ValueError, GRAPH, ), "batch_capacity-graph-None": ( - lambda s: ngc.batch_capacity(None, [(0, 2)], s.capacity), + lambda s: ngc.batch_capacity(None, [(0, 2)], s.query), ValueError, GRAPH, ), "sensitivity-graph-None": ( - lambda s: ngc.sensitivity(None, 0, 2, s.sensitivity), + lambda s: ngc.sensitivity(None, 0, 2, s.query), ValueError, GRAPH, ), @@ -271,22 +284,22 @@ def _refusal_inputs(): ), # Shapes and types of sequence and field arguments. "batch_capacity-pairs-not-a-sequence": ( - lambda s: ngc.batch_capacity(s.g, 5, s.capacity), + lambda s: ngc.batch_capacity(s.g, 5, s.query), ValueError, "pairs must be a sequence of (sources, destinations)", ), "batch_capacity-pair-of-one": ( - lambda s: ngc.batch_capacity(s.g, [(0,)], s.capacity), + lambda s: ngc.batch_capacity(s.g, [(0,)], s.query), ValueError, PAIR, ), "batch_capacity-pair-not-a-sequence": ( - lambda s: ngc.batch_capacity(s.g, [5], s.capacity), + lambda s: ngc.batch_capacity(s.g, [5], s.query), ValueError, PAIR, ), "batch_capacity-per_pair_elig-not-a-sequence": ( - lambda s: ngc.batch_capacity(s.g, [(0, 2)], s.capacity, 5), + lambda s: ngc.batch_capacity(s.g, [(0, 2)], s.query, 5), ValueError, "per_pair_elig must be a sequence of Eligibility or None", ), diff --git a/tests/py/test_route_structures.py b/tests/py/test_route_structures.py index 3ecafb6..b278502 100644 --- a/tests/py/test_route_structures.py +++ b/tests/py/test_route_structures.py @@ -331,14 +331,20 @@ def test_path_selection_and_enums(): multipath=False, ) assert "PREFER_HIGHER_PRIORITY" in repr(sel) - with pytest.raises(TypeError): - ngc.PathSelection() # tie_break and priority are explicit + # Every field has a default (contract r8 3.2): DETERMINISTIC, CAPACITY, multipath, multi_edge. + default = ngc.PathSelection() + assert (default.tie_break, default.priority) == ( + ngc.EdgeTieBreak.DETERMINISTIC, + ngc.EdgePriority.CAPACITY, + ) + assert (default.multipath, default.multi_edge) == (True, True) assert {m.name for m in ngc.FlowPlacement.__members__.values()} == { "MAX_FLOW", "WEIGHTED", "EQUAL_BALANCED", } assert set(ngc.Admission.__members__) == {"LOSSLESS", "LOSSY"} + assert set(ngc.Origin.__members__) == {"EQUAL", "OPTIMIZED"} assert set(ngc.EdgePriority.__members__) == {"RESIDUAL", "CAPACITY", "HEADROOM"} assert set(ngc.EdgeTieBreak.__members__) == { "DETERMINISTIC", diff --git a/tests/py/test_zero_capacity.py b/tests/py/test_zero_capacity.py index 244603b..8bea95f 100644 --- a/tests/py/test_zero_capacity.py +++ b/tests/py/test_zero_capacity.py @@ -117,16 +117,18 @@ def test_equal_and_weighted_splits_over_a_zero_member(): @pytest.mark.parametrize( ("caps", "lossless", "drops"), - [((0, 10), 5, [(0, 5)]), ((10, 0), 5, [(1, 5)])], + [((0, 10), 0, [(0, 5)]), ((10, 0), 1, [(1, 5)])], ids=["B3-zero-first", "B3-positive-first"], ) def test_two_sources_one_behind_a_zero_link(caps, lossless, drops): - # Today's per-source admission: each source keeps its round-robin share (5 and 5); the - # contract's Lossless totals (0 and 1) come with the pooled origin rule of a later step. + # The pooled equal origin: a LOSSLESS total a is admitted only when RR(a) fits, so a source + # behind the zero link caps it at its round-robin position: 0 when source 0 is behind it + # (RR(1) gives source 0 the unit), 1 when source 1 is (RR(2) gives source 1 a unit). LOSSY + # offers RR(10) = 5 and 5 and drops the share behind the zero link. g = graph(3, [(0, 2, caps[0], 1), (1, 2, caps[1], 1)]) r, p = place(g, [0, 1], 2, COSTONLY, 10) - assert r.placed == lossless - assert [s for s, _ in r.local_outcomes] == [0, 1] + assert (r.placed, r.termination) == (lossless, ngc.Termination.EXHAUSTED) + assert [row.source for row in r.by_source] == [0, 1] assert len(p.records()) == 2 r, _ = place(g, [0, 1], 2, config(ngc.CostOnly(), EB, LOSSY), 10) assert (r.placed, r.drops) == (5, drops) @@ -137,13 +139,15 @@ def test_b3_delete_zero_and_sensitivity(): for elig in (g.eligibility(excluded_nodes=[0]), g.eligibility(excluded_edges=[0])): assert place(g, [0, 1], 2, COSTONLY, 10, elig)[0].placed == 10 assert place(g, [0, 1], 2, GLOBAL, 10, elig)[0].placed == 10 - s = ngc.sensitivity(g, [0, 1], 2, ngc.SensitivityOptions(COSTONLY)) + # B3-zero-first under the pooled equal origin admits 0; removing the zero link takes source 0 + # out of the program, so the deletion gains 10 (a negative loss); removing 1 -> 2 leaves 0. + s = ngc.sensitivity(g, [0, 1], 2, ngc.QueryOptions(COSTONLY)) assert (s.baseline.placed, [(e.edge, e.loss) for e in s.entries]) == ( - 10, - [(0, 0), (1, 10)], + 0, + [(0, -10), (1, 0)], ) # G8: a negative loss for the zero-capacity link. - s8 = ngc.sensitivity(graph(3, S), 0, 1, ngc.SensitivityOptions(COSTONLY)) + s8 = ngc.sensitivity(graph(3, S), 0, 1, ngc.QueryOptions(COSTONLY)) assert [(e.edge, e.loss) for e in s8.entries] == [(0, -5), (1, 0), (2, 0)] @@ -170,14 +174,14 @@ def test_pinned_bundles_keep_their_zero_links(caps, bound): def test_global_min_cut_lists_zero_capacity_links_leaving_the_closure(): - want = ngc.OutputOptions(bottleneck=True) + want = ngc.OutputOptions(min_cut=True) b = graph(3, [(0, 2, 0, 1), (1, 2, 10, 1)]) - r = ngc.capacity(b, [0, 1], 2, ngc.CapacityOptions(GLOBAL, outputs=want)) + r = ngc.capacity(b, [0, 1], 2, ngc.QueryOptions(GLOBAL, outputs=want)) assert (r.placed, r.min_cut) == (10, [0, 1]) s = graph(3, S) - r = ngc.capacity(s, 0, 1, ngc.CapacityOptions(GLOBAL, outputs=want)) + r = ngc.capacity(s, 0, 1, ngc.QueryOptions(GLOBAL, outputs=want)) assert (r.placed, r.min_cut) == (5, [0, 1]) - masked = ngc.CapacityOptions( + masked = ngc.QueryOptions( GLOBAL, elig=s.eligibility(excluded_edges=[0]), outputs=want ) assert ngc.capacity(s, 0, 1, masked).min_cut == [1] diff --git a/tests/reference/policy/README.md b/tests/reference/policy/README.md index 330b703..24d4df1 100644 --- a/tests/reference/policy/README.md +++ b/tests/reference/policy/README.md @@ -18,8 +18,9 @@ the library and without the untracked design tree the code came from. The data is frozen: it is never regenerated from the build. The command below proves that it still equals what the reference computes; a change of the data is a deliberate data change, -reviewed as such. One such change has been made, when edges of capacity 0 became ordinary -routing edges ("Zero-capacity links stay in routing" below). +reviewed as such. Two such changes have been made: when edges of capacity 0 became ordinary +routing edges ("Zero-capacity links stay in routing" below), and when the sources of one +demand were pooled and the origin arrived ("Pooled sources and the origin" below). ## The historical `source` string inside the data @@ -51,8 +52,8 @@ that every module of the reference was imported from this directory (an installe the same name, such as `graph` or `units`, would otherwise shadow it) and that no module of the library (`netgraph_core`, `_netgraph_core`) was imported. -The data file: 742,513 bytes, sha256 -`522b000ece8da69dffccc02df3553bdfb9947115c2bf9970cb64b1ba437083c7` (59 fixtures, 636 +The data file: 741,400 bytes, sha256 +`e353ef06eb62f2ab3d60b33d586a6ccf46851c5d22f89dce67f5621e06859d26` (59 fixtures, 636 operations). This directory is excluded from the source distribution (`sdist.exclude` in `pyproject.toml`); @@ -62,7 +63,7 @@ the wheel holds only the `netgraph_core` package. No test imports it. The copies are the complete set of modules the exporter imports, found by running it and listing the imported modules (lazy imports inside functions included: every fixture runs). -Their bodies are unchanged except for the zero-capacity change at the end of this file; they +Their bodies are unchanged except for the two rule changes at the end of this file; they cite the design contract's sections and notes, which are not in the repository. `p2_transaction/_p1.py` appends the sibling `p1_amount/` to `sys.path`, so the two directory names are part of the layout. `run_fixtures.py` is used only for its `run_one`; its own `main` would write snapshots beside it and is not used. @@ -72,10 +73,10 @@ the copies were taken on 2026-10-09. | Copy (this directory) | Original | sha256 of the original | sha256 of the copy | | --- | --- | --- | --- | -| `export_policy_fixtures.py` | `equivalence/export_policy_fixtures.py` | `0aea76a050b2d83e7398559af6a7d484a5a82a48b35bac9a3686f5fdf73211d2` | `bdd6e63006d46408ae0779e8197f1ec149a93f252605353d8f5c5e3da8907e40` (relocated, below) | +| `export_policy_fixtures.py` | `equivalence/export_policy_fixtures.py` | `0aea76a050b2d83e7398559af6a7d484a5a82a48b35bac9a3686f5fdf73211d2` | `43ff1a092de611e813507376080ac98d6eb19ee08348b72982ae1796a61cde4f` (relocated; pooled sources, below) | | `p2_transaction/_p1.py` | `prototypes/p2_transaction/_p1.py` | `3ec5468e1ee8357faa9d85e6d748c718de63baee22e064c204324e42de42ec98` | same | -| `p2_transaction/fixtures.py` | `prototypes/p2_transaction/fixtures.py` | `ea05c85ce851fd7b7c6ff34b6a9eedbfd7b280187d0bf7e7965e626e4fe52071` | `a67420d9052059c10cec1ca0637ccd36b5347c2256cb340a7b3bd69042b13cc9` (zero capacity, below) | -| `p2_transaction/policy.py` | `prototypes/p2_transaction/policy.py` | `b367b71c6052cb70c9b107ec7fdd15f491349cfd6fdfcb12a18f24ab69a4d27b` | `3997b5efd25d366f169aeddde6204cb2cad2b5c8c120dc73069f3514d8aa9b07` (zero capacity, below) | +| `p2_transaction/fixtures.py` | `prototypes/p2_transaction/fixtures.py` | `ea05c85ce851fd7b7c6ff34b6a9eedbfd7b280187d0bf7e7965e626e4fe52071` | `64f616349a76887741879afac04c9d09ad82bd962b0c424ff557503c0451d8a6` (zero capacity; pooled sources, below) | +| `p2_transaction/policy.py` | `prototypes/p2_transaction/policy.py` | `b367b71c6052cb70c9b107ec7fdd15f491349cfd6fdfcb12a18f24ab69a4d27b` | `aeab8cc02c67309d1cb55dd00b926b98b04886b30f228be234df1f89fbe22bb7` (zero capacity; pooled sources, below) | | `p2_transaction/recorder.py` | `prototypes/p2_transaction/recorder.py` | `fb4a8f20ccc6ecef4bc6d934226df33d84ee4dbf70c59aad9f33a097b9d0eb8a` | same | | `p2_transaction/run_fixtures.py` | `prototypes/p2_transaction/run_fixtures.py` | `c20d655a2324c42201e9b743c51ef16bb47942dda56782e2d16b135a9c4db2fa` | same | | `p1_amount/apportion.py` | `prototypes/p1_amount/apportion.py` | `c1e2f5082a99db1d0e7de5cf4e713ad5790aca3d85060583d536f5bc7fdcd4b1` | same | @@ -83,7 +84,7 @@ the copies were taken on 2026-10-09. | `p1_amount/flowcore.py` | `prototypes/p1_amount/flowcore.py` | `72b3d8c91a077017cf759d4c834576b1babd513024e9e227650d273d8b08da2c` | `63a6cf7047cb2fe91d5992f23e5d9bada1b89e70a4cff595be0a24ddabb681df` (zero capacity, below) | | `p1_amount/graph.py` | `prototypes/p1_amount/graph.py` | `44051d4a496a423c73ed473b6d4da045c32e30b40701bec0ecb19b8d9e5822a8` | same | | `p1_amount/kernels.py` | `prototypes/p1_amount/kernels.py` | `6e8db4d6de8c275d0335a9fddad28b7f84daa7af04d3ab872e4078cc4f709729` | `b01f6f24846e39679308fa80ea0c95804fcb653f0aea7c999662423dfab0afc5` (zero capacity, below) | -| `p1_amount/ledger.py` | `prototypes/p1_amount/ledger.py` | `19a8ab41f7ae26ece8b8a0f151c55a287f0cdf22a779d8c6d2f9d8e5dc43fcf6` | same | +| `p1_amount/ledger.py` | `prototypes/p1_amount/ledger.py` | `19a8ab41f7ae26ece8b8a0f151c55a287f0cdf22a779d8c6d2f9d8e5dc43fcf6` | `fb55b11fa7c416024dd8c6faef63f08f831f77bf20585e78f3847b515aa3a6c2` (pooled sources, below) | | `p1_amount/search.py` | `prototypes/p1_amount/search.py` | `3ab124b99fa68e25d467cfbb22a4e9900ade86e10001269df84f3c99ad31e04a` | `c79bfdc6d2a11197364f9bf7f3f41c8594843c72742f3285cbf685a4c117560c` (zero capacity, below) | | `p1_amount/snap.py` | `prototypes/p1_amount/snap.py` | `0d62ff46d3c804bdbc80fae3c2c59a25aa0b34c013a086e7e81b7f722bdc0552` | same | | `p1_amount/units.py` | `prototypes/p1_amount/units.py` | `38b37a22ae56f592a63554683e860b44036cce678a7080f406a69c281a620cfe` | same | @@ -142,3 +143,57 @@ free capacity. The reference was changed in exactly these places, by hand from t Every other fixture is unchanged: the exported data differs from the earlier file only in these two fixtures' operations (`admission_zero_and_no_route` operations 6 and 7, `termination_reduction` operations 20 to 22) and that graph. + +## Pooled sources and the origin + +The library's rule changed again: the sources of one demand are pooled and how traffic enters is +the demand's origin. A CostOnly policy with `EqualBalanced` or `Weighted` prepares, at its +epoch's first positive call, each roster source's route on the residual at that call's entry and +forwards over their union: a router several sources pass splits their traffic once, and each +member's amount (and, where a link drops, what it carries) is given back to the sources by +highest averages over what each holds; Lossless admits the largest total whose round robin over +the roster forwards with no drop and gives no share to a source without a member. CostOnly +`MaxFlow` and Global are controllers: one solve over the union of the routes (CostOnly) or every +allowed edge (Global), with the optimized origin (one virtual source) by default or the equal +origin (source i's arc capped at its round-robin share; the largest total that fits, by +bisection). Results report the demand's accounting and one row per input source instead of the +per-source outcomes. The reference was changed in exactly these places, by hand from that rule: + +1. `p2_transaction/policy.py`: `FlowPolicyConfig` takes an optional placement and selection, + `Outputs` a `min_cut` flag, and `PlacementResult` the new fields (`delivery_delta`, + `call_drops`, `call_source_loss`, `requested`, `offered`, `admitted`, `delivered`, + `unadmitted`, `source_loss`, epoch `drops`, `by_source`, `total_cost`) in place of + `local_outcomes`; `ha` (highest averages with zero weights), `Program`, `make_program` and + `forward` (the pooled program and its attribution); `_prepare`, `_source_flow`, + `_place_pooled` and `_place_controller` (optimized origin only) replace the per-source + CostOnly stage and `_place_global`; validation follows the new table (Global takes no placement or selection; the + pooled single-path rule); the epoch also resets the offered total, the prepared program and the + curve; `Pinned` reports `NO_ACTIVE_WEIGHT` and its Lossy offered total and source loss. + The fixture reference has no origin selector: split CostOnly uses EQUAL, and controllers use + OPTIMIZED. Equal-origin controllers are checked separately by `tests/py/origin_oracle.py` + (`tests/py/test_origin.py`) and the native controller tests (`GlobalEqual.*`, + `CostOnlyMaxFlow.*` in `tests/cpp/pooled_origin_tests.cpp`). + CapacityAware keeps its per-source transaction and its reduction of per-source outcomes, now + only in the trace. +2. `export_policy_fixtures.py`: a configuration's `selection` may be `None`, and the outputs are + written as four flags (`min_cut` last); a record has no `placement` (below). +3. `p2_transaction/fixtures.py`: `glob()` builds Global without a placement or selection; + `lossy_diamond` reads this call's drops as `call_drops`; `termination`'s empty roster reads + its zero `by_source` row; `global_capped_underfill` requests `min_cut` by its flag. The + multi-source fixtures whose own hand-derived checks stated the per-source rule were derived + again by hand from the new rule: `sources_lossy_per_source` + (router X splits 8 once; X->3 carries 3 = H(3, [4, 4]) = [2, 1]: deliveries 2 and 1, drops 2 + and 3), `sources_attribution` and `sources_inf_every_kernel` (Lossless: MaxFlow 3 under the + optimized origin, Weighted and EqualBalanced 2 = [1, 1] under the equal origin; Lossy + unchanged), `sources_eb_per_source` (8 = [4, 4], not 4 + 10), `sources_1_9_request_4` (MaxFlow + [1, 3], 4, complete; Weighted and EqualBalanced [1, 1], 2, exhausted), + `sources_partition_1_1_vs_2_0` ([2, 0] for both partitions), `sources_split_cumulative` + (MaxFlow supplies [1, 0, 0] then [2, 0, 0]; Lossy offers [1, 0] then [0, 1]), + `epochs_place_remove_place` (the supplies, read from the flow core's trace) and + `sources_maxflow_vs_global` (its prose: one controller on the union of the shortest walks; + value unchanged, 1). The other fixtures change only in the result's and the trace's shape. +4. A record no longer carries its kernel (`FlowRecord.placement` is gone from the library: the + kernel is the policy's configuration). `p1_amount/ledger.py` drops the field from `FlowRecord` + and `Draft` and from the record's JSON, `p2_transaction/policy.py` no longer passes it, and the + exporter no longer writes it. The data lost exactly the 759 record `placement` keys; nothing + else changed. diff --git a/tests/reference/policy/export_policy_fixtures.py b/tests/reference/policy/export_policy_fixtures.py index 1cc13e5..17acaec 100644 --- a/tests/reference/policy/export_policy_fixtures.py +++ b/tests/reference/policy/export_policy_fixtures.py @@ -159,7 +159,6 @@ def ledger_state(fg) -> dict: "owner": r.owner, "sources": list(r.sources), "destinations": list(r.destinations), - "placement": r.placement, "admission": r.admission, "bundle": sorted(r.bundle), "route_cost": None @@ -241,7 +240,9 @@ def config_json(cfg) -> dict: "routing": routing, "placement": cfg.placement, "admission": cfg.admission, - "selection": { + "selection": None + if sel is None + else { "multipath": sel.multipath, "multi_edge": sel.multi_edge, "tie_break": sel.tie_break, @@ -352,7 +353,12 @@ def place(self, volume, outputs=None): else jsonable(volume), "outputs": None if outputs is None - else [outputs.edge_flows, outputs.residual, outputs.bottleneck], + else [ + outputs.edge_flows, + outputs.residual, + outputs.bottleneck, + outputs.min_cut, + ], "cap": P.MAX_FLOWS_PER_CALL, } try: diff --git a/tests/reference/policy/p1_amount/ledger.py b/tests/reference/policy/p1_amount/ledger.py index a6379ba..b2441f9 100644 --- a/tests/reference/policy/p1_amount/ledger.py +++ b/tests/reference/policy/p1_amount/ledger.py @@ -25,7 +25,6 @@ class FlowRecord: owner: int sources: tuple[int, ...] destinations: tuple[int, ...] - placement: str admission: str bundle: tuple[int, ...] route_cost: int @@ -50,7 +49,6 @@ def pairs(d): "owner": self.owner, "sources": list(self.sources), "destinations": list(self.destinations), - "placement": self.placement, "admission": self.admission, "bundle": list(self.bundle), "bundle_input": None @@ -71,7 +69,6 @@ class Draft: flow_id: tuple[int, int] | None sources: tuple[int, ...] destinations: tuple[int, ...] - placement: str admission: str bundle: tuple[int, ...] route_cost: int @@ -266,7 +263,6 @@ def _commit(self, owner: int, drafts: list[Draft]) -> list[tuple[int, int]]: owner=owner, sources=d.sources, destinations=d.destinations, - placement=d.placement, admission=d.admission, bundle=d.bundle, route_cost=d.route_cost, diff --git a/tests/reference/policy/p2_transaction/fixtures.py b/tests/reference/policy/p2_transaction/fixtures.py index f0a758c..9bac435 100644 --- a/tests/reference/policy/p2_transaction/fixtures.py +++ b/tests/reference/policy/p2_transaction/fixtures.py @@ -140,7 +140,8 @@ def co(kernel, adm=LOSSLESS, sel=None): def glob(): - return P.FlowPolicyConfig(P.Global(), MF, LOSSLESS, search.Selection()) + # Step 2: Global takes neither a placement nor a selection. + return P.FlowPolicyConfig(P.Global(), None, LOSSLESS, None) class Ctx: @@ -597,13 +598,13 @@ def lossy_diamond(s: PSnap): a = s.place("request 10", pol, 10) s.expect( "first", - (a.placed, a.termination, a.remaining, a.drops), + (a.placed, a.termination, a.remaining, a.call_drops), (6, "complete", 4, [(tail, 4)]), ) b = s.place("request 1", pol, 1) s.expect( "second", - (b.placed, b.termination, b.remaining, b.drops), + (b.placed, b.termination, b.remaining, b.call_drops), (0, "complete", 1, [(tail, 1)]), ) rec = pol.records()[0] @@ -1350,12 +1351,13 @@ def two_direct(caps, costs=(1, 1)): "sources_lossy_per_source", "sources", ["24", "26", "19", "9.3"], - "Lossy per source (replaces the zero-cost forward-versus-reverse witness): " - "sources 0 and 1 reach 3 through X (0->X 4, 1->X 4, X->3 3) and source 1 also " - "through Y (1->Y 4, Y->3 4, cost 2 each). Request 8 offers [4, 4]; source 0 " - "places 3 and drops 1 on X->3; source 1's DAG is its own shortest walks (1->X->3 " - "only, cost 2 < 4) and the full X->3 drops its 4. Delivered 3, complete (both " - "offers injected).", + "Lossy with pooled sources (replaces the zero-cost forward-versus-reverse witness; " + "step 2, contract r8 5.1 and 9.1): sources 0 and 1 reach 3 through X (0->X 4, 1->X " + "4, X->3 3) and source 1 also through Y (1->Y 4, Y->3 4, cost 2 each). Request 8 " + "offers [4, 4]; source 1's routes are its own shortest walks (1->X->3 only, cost 2 < " + "4); router X holds 8 and sends it all on X->3, attributed [4, 4]; the link carries " + "3 = H(3, [4, 4]) = [2, 1]: source 0 delivers 2 and drops 2, source 1 delivers 1 " + "and drops 3. Delivered 3, complete.", ) def sources_lossy(s: PSnap): edges = [(0, 3, 4, 1), (1, 3, 4, 1), (3, 5, 3, 1), (1, 4, 4, 2), (4, 5, 4, 2)] @@ -1369,12 +1371,12 @@ def sources_lossy(s: PSnap): s.expect( "source 0", (recs[0].delivered, dict_to_input(c.g, recs[0].drops)), - (3, [0, 0, 1, 0, 0]), + (2, [0, 0, 2, 0, 0]), ) s.expect( "source 1", (recs[1].delivered, dict_to_input(c.g, recs[1].drops)), - (0, [0, 0, 4, 0, 0]), + (1, [0, 0, 3, 0, 0]), ) @@ -1384,9 +1386,10 @@ def sources_lossy(s: PSnap): ["24", "26", "12", "9.3"], "Sources A (A->T 1, cost 1) and B (B->M 10, M->T 2, cost 1 each). Lossy " "request 20 (offers [10, 10]): A delivers 1 and drops 9 on A->T; B delivers 2 " - "and drops 8 on M->T; placed 3, complete. MaxFlow, Weighted and EB per source: " - "1 + 2 = 3, exhausted (the old pseudo-root EB gave 2). Route costs per record: " - "1 and 2.", + "and drops 8 on M->T; placed 3, complete. Lossless (step 2): MaxFlow is a controller " + "with the optimized origin, 1 + 2 = 3; Weighted and EB have the equal origin, the " + "largest total whose round-robin shares fit: 2 ([1, 1]; 3 would give A 2). All " + "exhausted. Route costs per record: 1 and 2.", ) def sources_attribution(s: PSnap): c = Ctx(s, "attribution", (4, [(0, 3, 1, 1), (1, 2, 10, 1), (2, 3, 2, 1)])) @@ -1415,14 +1418,14 @@ def sources_attribution(s: PSnap): ), (10, 2, 8, 2), ) - for kernel in (MF, W, EB): + for kernel, want in ((MF, (3, [1, 2])), (W, (2, [1, 1])), (EB, (2, [1, 1]))): fg = c.ledger() pol = P.FlowPolicy(fg, [0, 1], 3, co(kernel)) r = s.place(f"{kernel} 20", pol, 20, fg=fg) s.expect( f"{kernel}", (r.placed, r.termination, [x.delivered for x in pol.records()]), - (3, "exhausted", [1, 2]), + (want[0], "exhausted", want[1]), ) @@ -1430,10 +1433,10 @@ def sources_attribution(s: PSnap): "sources_eb_per_source", "sources", ["26", "9.3"], - "EqualBalanced per source (independent routers, rule 26): A (A->T 4, cost 1) " - "and B (B->T 10, cost 2). Request 20 offers [10, 10]: A places 4, B places 10, " - "total 14 (the old pseudo-root flow with joint equalisation capped both at 4: " - "8). +inf also 14.", + "EqualBalanced with the equal origin (step 2, contract r8 3.4 and 5.1): A (A->T 4, " + "cost 1) and B (B->T 10, cost 2). Lossless admits the largest total whose round-robin " + "shares fit: 8 ([4, 4]; 9 would give A 5). +inf also 8. (Independent per-source " + "placement, the rule before step 2, gave 4 + 10 = 14.)", ) def sources_eb(s: PSnap): c = Ctx(s, "two_direct", two_direct((4, 10), (1, 2))) @@ -1444,7 +1447,7 @@ def sources_eb(s: PSnap): s.expect( f"EB {v}", (r.placed, r.termination, [x.delivered for x in pol.records()]), - (14, term, [4, 10]), + (8, term, [4, 4]), ) @@ -1469,18 +1472,18 @@ def sources_augmentation(s: PSnap): "sources_inf_every_kernel", "sources", ["24", "15", "9.3"], - "+inf per source on the attribution graph: MaxFlow 3, Weighted 3, EB 3 " - "(exhausted); Lossy injects every source member to its residual (A 1, B 10): " - "delivered 3, offered 11, drops 8, exhausted.", + "+inf on the attribution graph: MaxFlow 3 (optimized origin), Weighted 2 and EB 2 " + "(equal origin: [1, 1]) (exhausted); Lossy injects every source member to its " + "residual (A 1, B 10): delivered 3, offered 11, drops 8, exhausted.", ) def sources_inf(s: PSnap): c = Ctx(s, "attribution", (4, [(0, 3, 1, 1), (1, 2, 10, 1), (2, 3, 2, 1)])) - for kernel in (MF, W, EB): + for kernel, want in ((MF, 3), (W, 2), (EB, 2)): fg = c.ledger() r = s.place( f"{kernel} +inf", P.FlowPolicy(fg, [0, 1], 3, co(kernel)), INF, fg=fg ) - s.expect(f"{kernel}", (r.placed, r.termination), (3, "exhausted")) + s.expect(f"{kernel}", (r.placed, r.termination), (want, "exhausted")) fg = c.ledger() pol = P.FlowPolicy(fg, [0, 1], 3, co(EB, LOSSY)) r = s.place("Lossy +inf", pol, INF, fg=fg) @@ -1531,12 +1534,12 @@ def sources_validation(s: PSnap): "sources_maxflow_vs_global", "sources", ["24", "27", "9.3"], - "Independent sources versus the controller: 0->2 (cost 2), 1->2 (cost 1), " - "2->3 (cost 1) and 0->3 (cost 5), unit capacities. CostOnly MaxFlow per source: " - "source 0's DAG is its shortest walk 0->2->3 (cost 3) and takes the shared " - "edge; source 1 then finds 2->3 full: +inf places 1. Global's unique optimum " - "(cost 7 against 8) routes source 0 over 0->3 and source 1 over 1->2->3: 2 (the " - "per-source DAGs cannot cancel across sources).", + "Shortest routes versus the whole graph: 0->2 (cost 2), 1->2 (cost 1), 2->3 " + "(cost 1) and 0->3 (cost 5), unit capacities. CostOnly MaxFlow (step 2) is one " + "controller on the union of the sources' shortest walks, 0->2->3 (cost 3) and " + "1->2->3: the shared edge 2->3 limits +inf to 1 (0->3 is on no source's shortest " + "walk). Global's unique optimum (cost 7 against 8) routes source 0 over 0->3 and " + "source 1 over 1->2->3: 2.", ) def sources_vs_global(s: PSnap): c = Ctx( @@ -1546,7 +1549,7 @@ def sources_vs_global(s: PSnap): r = s.place( "CostOnly MaxFlow +inf", P.FlowPolicy(fg, [0, 1], 3, co(MF)), INF, fg=fg ) - s.expect("per source", r.placed, 1) + s.expect("union of the shortest walks", r.placed, 1) fg = c.ledger() pg = P.FlowPolicy(fg, [0, 1], 3, glob()) r = s.place("Global +inf", pg, INF, fg=fg) @@ -1562,11 +1565,12 @@ def sources_vs_global(s: PSnap): "sources_split_cumulative", "sources", ["24", "16.7", "9.3"], - "The source split is over the cumulative request (16.7): sources A, B, C with " - "direct links of 10. place(1); place(1) offers [1, 0, 0] then [0, 1, 0] (round " - "robin of 2 is [1, 1, 0]), identical to place(2); a per-call split would offer " - "[1, 0, 0] twice (control). Lossy follows the same cumulative split: two calls " - "of 1 over two sources offer [1, 1].", + "Cumulative requests (16.7; step 2): sources A, B, C with direct links of 10. " + "CostOnly MaxFlow is a controller with the optimized origin that re-solves the " + "cumulative value from zero: place(1); place(1) supplies [1, 0, 0] then [2, 0, 0] " + "(the root's arc to the lowest NodeId first, its path takes both units), identical " + "to place(2). Lossy follows the cumulative round-robin split: two calls of 1 over " + "two sources offer [1, 0] then [0, 1].", ) def sources_split(s: PSnap): c = Ctx(s, "three_direct", (4, [(0, 3, 10, 1), (1, 3, 10, 1), (2, 3, 10, 1)])) @@ -1575,14 +1579,13 @@ def sources_split(s: PSnap): a = s.place("call 1", pol, 1) b = s.place("call 2", pol, 1) s.expect( - "offers", - (a.trace["offers"], b.trace["offers"]), - ({0: 1, 1: 0, 2: 0}, {0: 0, 1: 1, 2: 0}), + "supplies", + (a.trace["flow_core"]["supply"], b.trace["flow_core"]["supply"]), + ({0: 1, 1: 0, 2: 0}, {0: 2, 1: 0, 2: 0}), ) fg2 = c.ledger() s.place("one call of 2", P.FlowPolicy(fg2, [0, 1, 2], 3, co(MF)), 2, fg=fg2) s.expect("1 + 1 equals 2", c.alloc(fg), c.alloc(fg2)) - s.expect("per-call split control differs", [1, 0, 0] + [1, 0, 0] != [1, 1, 0], True) c2 = Ctx(s, "two_direct", two_direct((5, 5))) fg3 = c2.ledger() lp = P.FlowPolicy(fg3, [0, 1], 2, co(EB, LOSSY)) @@ -1599,27 +1602,31 @@ def sources_split(s: PSnap): "sources_1_9_request_4", "sources", ["24", "9.3", "9.4"], - "Review-13 source budget witness: sources with capacities [1, 9], request 4 " - "offers [2, 2]; deliveries [1, 2]; unserved remainders are not redistributed: " - "placed 3, remaining 1; local outcomes exhausted and complete; call exhausted.", + "Review-13 source budget witness under step 2's origins: sources with capacities " + "[1, 9], request 4. MaxFlow (the optimized origin) supplies [1, 3]: placed 4, " + "complete. Weighted and EB (the equal origin) admit the largest total whose " + "round-robin shares fit: 2 ([1, 1]; 3 would give the 1-link source 2), remaining 2, " + "exhausted.", ) def sources_1_9(s: PSnap): c = Ctx(s, "two_direct_1_9", two_direct((1, 9))) - for kernel in (MF, W, EB): + for kernel, want in ( + (MF, ([1, 3], 4, 0, "complete")), + (W, ([1, 1], 2, 2, "exhausted")), + (EB, ([1, 1], 2, 2, "exhausted")), + ): fg = c.ledger() pol = P.FlowPolicy(fg, [0, 1], 2, co(kernel)) r = s.place(f"{kernel} request 4", pol, 4, fg=fg) s.expect( f"{kernel}", ( - r.trace["offers"], [x.delivered for x in pol.records()], r.placed, r.remaining, - r.trace["local_outcomes"], r.termination, ), - ({0: 2, 1: 2}, [1, 2], 3, 1, {0: "exhausted", 1: "complete"}, "exhausted"), + want, ) @@ -1627,11 +1634,11 @@ def sources_1_9(s: PSnap): "sources_partition_1_1_vs_2_0", "sources", ["24", "16.4", "9.2"], - "Source-set allocation is partition-dependent (review-14 R3; 16.4 excludes " - "competing sources): 0->2 and 1->2 (2 each) share 2->3 (2). place(2); place(2) " - "gives deliveries [1, 1] (the second call finds 2->3 full); place(4) gives " - "[2, 0] (source 0 is placed first in ascending NodeId). Same total, different " - "records: independent sources, no reassignment.", + "Source-set allocation of CostOnly MaxFlow (review-14 R3; step 2): 0->2 and 1->2 " + "(2 each) share 2->3 (2). The controller re-solves the cumulative value from zero " + "with one virtual source, so place(2); place(2) and place(4) both give deliveries " + "[2, 0] (the root's arc to source 0 comes first): partition-independent (before step " + "2 the independent per-source placement gave [1, 1] and [2, 0]).", ) def sources_partition(s: PSnap): c = Ctx(s, "shared_2", (4, [(0, 2, 2, 1), (1, 2, 2, 1), (2, 3, 2, 1)])) @@ -1642,7 +1649,7 @@ def sources_partition(s: PSnap): for v in calls: s.place(f"{calls} call {v}", pol, v, fg=fg) out.append([x.delivered for x in pol.records()]) - s.expect("partition dependence", out, [[1, 1], [2, 0]]) + s.expect("partition independence", out, [[2, 0], [2, 0]]) @fixture( @@ -1736,7 +1743,11 @@ def termination(s: PSnap): c0 = Ctx(s, "no_roster", (2, [(1, 0, 1, 1)])) p0 = P.FlowPolicy(c0.ledger(), 0, 1, co(EB)) r = s.place("empty roster", p0, 1) - s.expect("empty roster", (r.termination, r.local_outcomes), ("no_route", [])) + s.expect( + "empty roster", + (r.termination, r.by_source), + ("no_route", [(0, None, 0, 0, 0, 0)]), + ) s.place("empty roster +inf", p0, INF) s.raises("finite after +inf with an empty roster", p0.place, 1) @@ -1828,7 +1839,7 @@ def global_chain(s: PSnap): "global", ["2.2", "27"], "Attained value at the policy level: Global place(2) on one 3-unit edge places " - "2 (min_cut None: a residual path is left; requested with bottleneck outputs), " + "2 (min_cut None: a residual path is left; requested with the min_cut output), " "the cumulative solve passes the certificate; a mutated producer returning 1 " "under cap 2 is rejected; place(+inf) then places the last unit and min_cut is " "[0].", @@ -1837,7 +1848,7 @@ def global_underfill(s: PSnap): c = Ctx(s, "one_edge", (2, [(0, 1, 3, 7)])) fg = c.ledger() pol = P.FlowPolicy(fg, 0, 1, glob()) - r = s.place("place(2)", pol, 2, outputs=P.Outputs(bottleneck=True)) + r = s.place("place(2)", pol, 2, outputs=P.Outputs(bottleneck=True, min_cut=True)) s.expect("capped", (r.placed, r.termination, r.min_cut), (2, "complete", None)) payload = {k: v for k, v in r.trace["flow_core"].items() if k != "supply"} s.check( @@ -1848,7 +1859,9 @@ def global_underfill(s: PSnap): "underfill rejected", bool(certify.check_solve(c.g, [3], [0], [1], 2, bad, tier="a")), ) - r = s.place("place(+inf)", pol, INF, outputs=P.Outputs(bottleneck=True)) + r = s.place( + "place(+inf)", pol, INF, outputs=P.Outputs(bottleneck=True, min_cut=True) + ) s.expect("maximal", (r.placed, r.termination, r.min_cut), (1, "exhausted", [0])) @@ -1939,9 +1952,9 @@ def global_epochs(s: PSnap): "epochs_place_remove_place", "lifetime", ["8", "9.3", "24"], - "Section 8's epoch law for CostOnly over two sources: place(1) offers [1, 0] " - "and creates both records (ids [0, 1], source 1 at zero delivery); remove(); " - "place(1) offers [1, 0] again (requested reset) with ids [2, 3]; " + "Section 8's epoch law for CostOnly MaxFlow over two sources: place(1) supplies " + "[1, 0] and creates both records (ids [0, 1], source 1 at zero delivery); remove(); " + "place(1) supplies [1, 0] again (requested reset) with ids [2, 3]; " "place(+inf); remove(); place(1) is accepted; remove() on an empty cohort " "resets the epoch state.", ) @@ -1953,7 +1966,7 @@ def epochs(s: PSnap): s.expect( "epoch 1", ( - r.trace["offers"], + r.trace["flow_core"]["supply"], [x.flow_id[1] for x in pol.records()], [x.delivered for x in pol.records()], ), @@ -1963,13 +1976,13 @@ def epochs(s: PSnap): r = s.place("place(1) after remove", pol, 1) s.expect( "epoch 2", - (r.trace["offers"], [x.flow_id[1] for x in pol.records()]), + (r.trace["flow_core"]["supply"], [x.flow_id[1] for x in pol.records()]), ({0: 1, 1: 0}, [2, 3]), ) s.place("place(+inf)", pol, INF) pol.remove() r = s.place("place(1) after +inf and remove", pol, 1) - s.expect("accepted", (r.placed, r.trace["offers"]), (1, {0: 1, 1: 0})) + s.expect("accepted", (r.placed, r.trace["flow_core"]["supply"]), (1, {0: 1, 1: 0})) pol.remove() pol.remove() s.expect( diff --git a/tests/reference/policy/p2_transaction/policy.py b/tests/reference/policy/p2_transaction/policy.py index 8a24eb2..3e01a1a 100644 --- a/tests/reference/policy/p2_transaction/policy.py +++ b/tests/reference/policy/p2_transaction/policy.py @@ -3,15 +3,24 @@ One placement engine for every routing mode: ``CostOnly``, ``CapacityAware``, ``Global`` and ``Pinned``, the kernels ``MaxFlow``, ``Weighted`` and ``EqualBalanced`` and the admissions ``Lossless`` and ``Lossy`` (prototype 1's -kernels). The transaction of 9.2 runs per source (9.3) for ``CostOnly`` and -``CapacityAware``: the roster is fixed at construction (eligible sources that -statically reach a destination, ascending NodeId), each source is offered the -increment of its round-robin share of the cumulative request, and the stages run on -the shared working residual ``W``; ``created`` is one counter per call; there is one -commit. ``Pinned`` and ``Global`` have one "source", the policy. ``Global`` is a -replacement kernel over the whole eligible graph with the canonical per-source -decomposition. Local outcomes, the termination reduction and the flag table follow -9.4 (revision 20: flags accumulate committed events). Epochs follow section 8. +kernels). The transaction of 9.2 runs per source (9.3) for ``CapacityAware``: the +roster is fixed at construction (eligible sources that statically reach a destination, +ascending NodeId), each source is offered the increment of its round-robin share of the +cumulative request, and the stages run on the shared working residual ``W``; +``created`` is one counter per call; there is one commit. ``Pinned`` has one "source", +the policy. ``Global`` is a replacement kernel over the whole eligible graph with the +canonical per-source decomposition. Local outcomes, the termination reduction and the +flag table follow 9.4 (revision 20: flags accumulate committed events). Epochs follow +section 8. + +Step 2 of the next Core change (contract r8, sections 2.2, 4.1, 5.1, 9.1, 10.2, 14.1, +14.2; README "Pooled sources and the origin"): ``CostOnly`` pools its sources. Its +routes are prepared once per epoch on the residual at the first positive call's entry +and joined into one program (``make_program``); EqualBalanced and Weighted forward the +equal origin over it (``forward``: one split per router, attribution by highest +averages); MaxFlow and Global are controllers (``_place_controller``) with the optimized +origin. The result has the 14.1 shape (``PlacementResult``); CapacityAware keeps its +per-source reduction of local outcomes, every other model has the 14.2 termination. Readings where the contract is silent are listed in ``NOTES.md`` (P-numbers). """ @@ -26,7 +35,7 @@ import flowcore import kernels as K import search -from apportion import round_robin +from apportion import highest_averages, round_robin, split from graph import Eligibility, check_dag_edges, check_disjoint, check_node_set from ledger import Draft, FlowGraph from units import ( @@ -82,10 +91,14 @@ class Pinned: @dataclass(frozen=True) class FlowPolicyConfig: + """Global takes no placement and no selection (both None); the origin is the model's + default (step 2: EQUAL for CostOnly EqualBalanced and Weighted, OPTIMIZED for CostOnly + MaxFlow and Global; the equal origin of the controllers is not modelled here).""" + routing: object - placement: str + placement: str | None admission: str - selection: search.Selection + selection: search.Selection | None @dataclass @@ -93,34 +106,58 @@ class Outputs: edge_flows: bool = False residual: bool = False bottleneck: bool = False + min_cut: bool = False @dataclass class PlacementResult: + """The result of one call (step 2 shape): this call's values, then the demand's state + after it (epoch totals), then the optional outputs.""" + placed: int remaining: int | None termination: str routes_changed: bool weights_changed: bool - drops: list[tuple[int, int]] + call_drops: list[tuple[int, int]] + call_source_loss: int = 0 + requested: int | None = 0 # None: +inf + offered: int | None = None # Lossy only + admitted: int = 0 + delivered: int = 0 + unadmitted: int | None = 0 + source_loss: int = 0 + drops: list[tuple[int, int]] = field(default_factory=list) + by_source: list[tuple] = field(default_factory=list) + total_cost: int | None = None cost_distribution: list[tuple[int, int]] | None = None edge_flows: list[int] | None = None residual: list[int] | None = None bottleneck: list[int] | None = None min_cut: list[int] | None = None - local_outcomes: list[tuple[int, str]] = field(default_factory=list) trace: dict = field(default_factory=dict) def to_json(self) -> dict: out = { "placed": self.placed, "remaining": "inf" if self.remaining is None else self.remaining, + "delivery_delta": self.placed, + "call_drops": [list(x) for x in self.call_drops], + "call_source_loss": self.call_source_loss, "termination": self.termination, "routes_changed": self.routes_changed, "weights_changed": self.weights_changed, + "requested": "inf" if self.requested is None else self.requested, + "admitted": self.admitted, + "delivered": self.delivered, + "source_loss": self.source_loss, "drops": [list(x) for x in self.drops], - "local_outcomes": [list(x) for x in self.local_outcomes], + "by_source": [list(x) for x in self.by_source], } + for name in ("offered", "unadmitted", "total_cost"): + value = getattr(self, name) + if value is not None: + out[name] = value if self.cost_distribution is not None: out["cost_distribution"] = [list(x) for x in self.cost_distribution] for name in ("edge_flows", "residual", "bottleneck", "min_cut"): @@ -130,6 +167,142 @@ def to_json(self) -> dict: return out +def ha(total: int, weights: list[int]) -> list[int]: + """Highest averages with zero weights allowed: a zero weight gets nothing, all-zero + weights give nothing (step 2: the attribution of pooled traffic to its sources).""" + out = [0] * len(weights) + pos = [i for i, w in enumerate(weights) if w > 0] + if pos and total: + for i, x in zip( + pos, highest_averages(total, [weights[i] for i in pos]), strict=True + ): + out[i] = x + return out + + +@dataclass +class Program: + """A CostOnly demand's pooled program (step 2, contract r8 5.1): the union of the roster's + routes, its members (EqualBalanced: every route edge; Weighted: the edges of positive weight + on the walks from a root to a destination), the frozen weights, per node its members in + ascending EdgeId and a topological order of every node.""" + + kernel: str + roots: list[int] + dsts: tuple[int, ...] + members: tuple[int, ...] + weights: dict[int, int] | None + out: dict[int, list[int]] + topo: list[int] + + +def make_program(g, kernel, roots, dsts, union, priority, view) -> Program: + union = tuple(sorted(union)) + if kernel != W_: + cand = union + elif priority == "Residual": + cand = tuple(e for e in union if view[e] >= 1) + else: + cand = tuple(e for e in union if g.capacity[e] >= 1) + members = tuple(sorted({e for r in roots for e in K.prune(g, cand, r, dsts)})) + weights = None + if kernel == W_: + weights = { + e: (view[e] if priority == "Residual" else g.capacity[e]) for e in members + } + out: dict[int, list[int]] = {} + nodes = set(roots) | set(dsts) + for e in members: + out.setdefault(g.src[e], []).append(e) + nodes.update((g.src[e], g.dst[e])) + indeg = dict.fromkeys(nodes, 0) + for e in members: + indeg[g.dst[e]] += 1 + topo, ready = [], sorted(v for v in nodes if indeg[v] == 0) + while ready: + u = ready.pop(0) + topo.append(u) + for e in out.get(u, ()): + indeg[g.dst[e]] -= 1 + if indeg[g.dst[e]] == 0: + ready.append(g.dst[e]) + ready.sort() + assert len(topo) == len(nodes), "the pooled program is cyclic" + return Program(kernel, list(roots), tuple(dsts), members, weights, out, topo) + + +def forward(g, prog: Program, inject, W): + """One forwarding of a pooled program: inject[i] at roots[i] (None: the first-hop + experiment, every root's out-members each injected with exactly their W), each node's + inflow (own injection plus carried arrivals) split once by round robin or highest + averages; a member's amount attributed to the roots by highest averages over their + remaining inflows (member by member), then (W given) the member carries min(arrivals, W[e]) + attributed by highest averages over the roots' arrivals (contract 5.1, 9.1). Returns per + root: offered, source loss, delivered and {edge: carried}, {edge: dropped}; and the totals.""" + k = len(prog.roots) + index = {r: i for i, r in enumerate(prog.roots)} + offered, lost, delivered = [0] * k, [0] * k, [0] * k + carried = [dict() for _ in range(k)] + dropped = [dict() for _ in range(k)] + inflow: dict[int, dict[int, int]] = {} + own_at: dict[int, int] = {} + for i, r in enumerate(prog.roots): + if inject is None: + if prog.out.get(r): + own_at[r] = i + offered[i] = sum(W[e] for e in prog.out[r]) + continue + offered[i] = inject[i] + if not inject[i]: + continue + if not prog.out.get(r): + lost[i] = inject[i] + else: + inflow.setdefault(r, {})[i] = inject[i] + dset = set(prog.dsts) + for u in prog.topo: + rem = dict(inflow.get(u, {})) + if u in dset: + for i, x in rem.items(): + delivered[i] += x + continue + own = own_at.get(u) + amount = sum(rem.values()) + if amount == 0 and own is None: + continue + outs = prog.out.get(u, []) + weights = None if prog.weights is None else [prog.weights[e] for e in outs] + part = ( + split("ha" if prog.kernel == W_ else "rr", amount, weights, len(outs)) + if amount + else [0] * len(outs) + ) + order = sorted(set(rem) | ({own} if own is not None else set())) + for e, x in zip(outs, part, strict=True): + row = ha(x, [rem.get(i, 0) for i in order]) + for i, y in zip(order, row, strict=True): + rem[i] = rem.get(i, 0) - y + arrive = [ + y + (W[e] if i == own else 0) for i, y in zip(order, row, strict=True) + ] + total = sum(arrive) + if total == 0: + continue + c = total if W is None else min(total, W[e]) + keep = arrive if c == total else ha(c, arrive) + for i, a, kk in zip(order, arrive, keep, strict=True): + if kk: + carried[i][e] = carried[i].get(e, 0) + kk + inflow.setdefault(g.dst[e], {}) + inflow[g.dst[e]][i] = inflow[g.dst[e]].get(i, 0) + kk + if a - kk: + dropped[i][e] = dropped[i].get(e, 0) + a - kk + assert all(v == 0 for v in rem.values()), ( + "a router's inflow is attributed in full" + ) + return offered, lost, delivered, carried, dropped, index + + # ====================================================================== working flows @@ -213,8 +386,9 @@ def __init__( check_disjoint(self.sources, self.destinations) self._validate_cfg() self.mode = type(cfg.routing).__name__ - self.kernel, self.admission = cfg.placement, cfg.admission - self.selection = cfg.selection + self.kernel = MF if self.mode == "Global" else cfg.placement + self.admission = cfg.admission + self.selection = cfg.selection or search.Selection() static = search.member_graph(g, elig, search.Selection()) self._static = static node_ok = (lambda v: True) if elig is None else (lambda v: elig.node_allowed[v]) @@ -246,13 +420,26 @@ def _validate_cfg(self) -> None: r = cfg.routing if not isinstance(r, (CostOnly, CapacityAware, Global, Pinned)): raise ContractError("unknown routing variant") - if not isinstance(cfg.selection, search.Selection): - raise ContractError("selection is explicit (no default)") - K.check_kernel(cfg.placement, cfg.admission, cfg.selection.priority) - if cfg.admission == LOSSY and isinstance(r, (Global, CapacityAware)): - raise ContractError("Lossy is rejected with Global and CapacityAware") - if isinstance(r, Global) and cfg.placement != MF: - raise ContractError("Global requires placement = MaxFlow") + if isinstance(r, Global): + # Global takes no placement and no selection; a controller is lossless. + if cfg.placement is not None or cfg.selection is not None: + raise ContractError("Global takes no placement and no selection") + if cfg.admission != LOSSLESS: + raise ContractError("MAX_FLOW requires admission=LOSSLESS") + else: + if cfg.placement is None: + raise ContractError("placement is required") + sel = cfg.selection or search.Selection() + K.check_kernel(cfg.placement, cfg.admission, sel.priority) + if cfg.admission == LOSSY and isinstance(r, CapacityAware): + raise ContractError("Lossy is rejected with CapacityAware") + if ( + isinstance(r, CostOnly) + and len(self.sources) > 1 + and not sel.multipath + and sel.tie_break == search.PREFER + ): + raise ContractError("the pooled single-path rule (Q12)") if isinstance(r, CapacityAware): if not isinstance(r.flow_count, int) or r.flow_count < 1: raise ContractError("flow_count >= 1") @@ -297,8 +484,13 @@ def _validate_bundles(self): def _reset_epoch(self) -> None: self.cohorts: dict[int, list[Flow]] = {} self.requested = 0 + self.offered = 0 self.infinite = False self.epoch_started = False + self.prepared = False + self.program: Program | None = None + self.union: tuple[int, ...] = () + self.curve: list[tuple[int, int]] = [] def placed_demand(self) -> int: return sum(f.delivered for c in self.cohorts.values() for f in c) @@ -476,39 +668,94 @@ def place(self, volume, outputs: Outputs | None = None) -> PlacementResult: if req is not None and self.requested + req >= 1 << 127: raise ContractError("cumulative request counter overflow") outputs = outputs or Outputs() + controller = self.mode == "Global" or ( + self.mode == "CostOnly" and self.kernel == MF + ) if req == 0: - served = [(src, "complete") for src in self.roster] - return self._finish( - PlacementResult( - 0, 0, "complete", False, False, [], local_outcomes=served - ), - outputs, - None, - ) + # The current state, every flag false; before the epoch's first positive call it is + # all zeros (contract r8 10.3). Global reports its curve once prepared. + r = PlacementResult(0, 0, "complete", False, False, []) + if self.mode == "Global" and self.prepared: + r.cost_distribution = list(self.curve) + return self._finish(r, outputs, None, controller) if not self.roster: # the epoch's finite-or-infinite state and `requested` record every positive - # request, also one that finds no roster (section 8) + # request, also one that finds no roster (section 8); a Lossy offer is lost before + # it enters (the demand's source loss; every source's row stays zero) if req is None: self.infinite = True else: self.requested += req - return self._finish( - PlacementResult( - 0, req, "no_route", False, False, [], trace={"roster": []} - ), - outputs, - None, + if self.admission == LOSSY: + self.offered += req + self.prepared = True + r = PlacementResult( + 0, + req, + "no_route", + False, + False, + [], + call_source_loss=req + if self.admission == LOSSY and req is not None + else 0, + trace={"roster": []}, ) - if self.mode == "Global": - return self._place_global(req, outputs) + if self.mode == "Global": + r.cost_distribution = [] + if outputs.min_cut: + r.min_cut = [] + return self._finish(r, outputs, None, controller) + if controller: + return self._place_controller(req, outputs) + if self.mode == "CostOnly": + return self._place_pooled(req, outputs) return self._place_flows(req, outputs) def _finish( - self, result: PlacementResult, outputs: Outputs, sol + self, result: PlacementResult, outputs: Outputs, sol, controller=False ) -> PlacementResult: + """The demand's state after the call (contract r8 14.1) from the committed records, + then the optional outputs.""" + lossy = self.admission == LOSSY + recs = self.records() + result.requested = None if self.infinite else self.requested + result.delivered = sum(r.delivered for r in recs) + rows = [] + for s in self.sources: + mine = [r for r in recs if r.sources[0] == s] + delivered = sum(r.delivered for r in mine) + if lossy: + off = sum(r.offered or 0 for r in mine) + dropped = sum(x for r in mine for x in r.drops.values()) + rows.append( + (s, off, off, delivered, off - delivered - dropped, dropped) + ) + else: + rows.append((s, None, delivered, delivered, 0, 0)) + result.by_source = rows + if lossy: + drops: dict[int, int] = {} + for r in recs: + for e, x in r.drops.items(): + drops[e] = drops.get(e, 0) + x + result.drops = sorted((e, x) for e, x in drops.items() if x) + result.offered = self.offered + result.admitted = self.offered + result.unadmitted = 0 + result.source_loss = self.offered - result.delivered - sum(drops.values()) + else: + result.admitted = result.delivered + result.unadmitted = ( + None if self.infinite else self.requested - result.delivered + ) + if controller: + result.total_cost = sum( + self.g.cost[e] * x for r in recs for e, x in r.edges.items() + ) if outputs.edge_flows: alloc = [0] * self.g.num_edges - for r in self.records(): + for r in recs: for e, x in r.edges.items(): alloc[e] += x result.edge_flows = alloc @@ -516,67 +763,249 @@ def _finish( result.residual = self.fg.residual() if outputs.bottleneck: result.bottleneck = self.fg.bottleneck(self.sources, self.elig) - if self.mode == "Global": - result.min_cut = None if sol is None else sol.min_cut + if outputs.min_cut and self.mode == "Global" and sol is not None: + result.min_cut = sol.min_cut return result - # ------------------------------------------------------------ Global + # ------------------------------------------------------------ CostOnly (step 2) + + def _prepare(self, W): + """The epoch's routes of a CostOnly demand on the residual at the first positive call's + entry: per roster source its route (record bundle, route cost), their union, and one + continuation per router (contract r8 5.1).""" + routes = {s: self._cost_only_route(s, W) for s in self.roster} + union = tuple(sorted({e for r in routes.values() for e in r})) + for r in routes.values(): + for e in r: + u = self.g.src[e] + assert sorted(x for x in r if self.g.src[x] == u) == sorted( + x for x in union if self.g.src[x] == u + ), "two roster sources continue differently at a router" + return routes, union + + def _source_flow(self, s, route, prev) -> Flow: + plan = K.Plan( + self.kernel, self.admission, s, self._dests_ok, route, route, None + ) + return Flow( + src=s, + route=route, + plan=plan, + cost=self._route_cost(route, s), + flow_id=None if prev is None else prev.flow_id, + offered=0 if self.admission == LOSSY else None, + new=prev is None, + seq=self.roster.index(s), + ) + + def _place_pooled(self, req, outputs) -> PlacementResult: + g, fg = self.g, self.fg + W = fg.residual() + created = not self.cohorts + trace: dict = {"prepare": None} + if created: + routes, union = self._prepare(W) + prog = make_program( + g, + self.kernel, + self.roster, + self._dests_ok, + union, + self.selection.priority, + W, + ) + flows = {s: self._source_flow(s, routes[s], None) for s in self.roster} + trace["prepare"] = {s: list(routes[s]) for s in self.roster} + else: + prog = self.program + flows = {s: c[0] for s, c in copy.deepcopy(self.cohorts).items()} + k = len(self.roster) + if self.admission == LOSSLESS: + admitted = sum(f.delivered for f in flows.values()) + own = merge(f.alloc for f in flows.values()) + V = add_view(W, own) + # the largest total in [admitted, admitted + req] whose no-drop forwarding of the + # round-robin shares fits V and gives no root without a member a share + bound = 0 + for i, r in enumerate(self.roster): + if not prog.out.get(r): + bound = min(bound, i) + break + bound += sum(V[e] for e in prog.out[r]) + hi = bound if req is None else min(admitted + req, bound) + + def fits(t): + inj = round_robin(t, k) + if any( + x and not prog.out.get(r) + for r, x in zip(self.roster, inj, strict=True) + ): + return False + _, _, _, carried, _, _ = forward(g, prog, inj, None) + return all(x <= V[e] for e, x in merge(carried).items()) + + lo = admitted + if hi > lo and fits(hi): + lo = hi + else: + while hi - lo > 1: + mid = (lo + hi) // 2 + if fits(mid): + lo = mid + else: + hi = mid + _, _, delivered, carried, _, _ = forward(g, prog, round_robin(lo, k), None) + for i, s in enumerate(self.roster): + flows[s].alloc = dict(carried[i]) + flows[s].T = flows[s].delivered = delivered[i] + placed = lo - admitted + call_drops, source_loss = [], 0 + trace["T"] = [admitted, lo] + else: + if req is None: + inj = None + else: + old = round_robin(self.offered, k) + new = round_robin(self.offered + req, k) + inj = [b - a for a, b in zip(old, new, strict=True)] + offered, lost, delivered, carried, dropped, _ = forward(g, prog, inj, W) + for i, s in enumerate(self.roster): + f = flows[s] + for e, x in carried[i].items(): + f.alloc[e] = f.alloc.get(e, 0) + x + for e, x in dropped[i].items(): + f.drops[e] = f.drops.get(e, 0) + x + f.offered = (f.offered or 0) + offered[i] + f.delivered += delivered[i] + placed = sum(delivered) + call_drops = sorted(merge(dropped).items()) + source_loss = sum(lost) + self.offered += sum(offered) + trace["offers"] = { + s: "inf" if inj is None else inj[i] for i, s in enumerate(self.roster) + } + cohorts = {s: [f] for s, f in flows.items()} + drafts, order = self._drafts(cohorts) + new_ids = fg._commit(self.owner, drafts) + self._assign_ids(order, new_ids) + self.cohorts = cohorts + self.program = prog + self.prepared = True + if req is None: + self.infinite = True + else: + self.requested += req + if not prog.members: + term = "no_active_weight" + elif self.admission == LOSSY: + term = "complete" if req is not None else "exhausted" + else: + term = "complete" if req is not None and placed == req else "exhausted" + result = PlacementResult( + placed, + None if req is None else req - placed, + term, + created, + False, + call_drops, + call_source_loss=source_loss, + trace=trace, + ) + return self._finish(result, outputs, None) + + # ------------------------------------------------------------ the controllers - def _place_global(self, req, outputs) -> PlacementResult: + def _place_controller(self, req, outputs) -> PlacementResult: + """Global over every eligible edge, CostOnly MaxFlow over the union of the roster's + routes: a minimum-cost flow of the cumulative value from one virtual source (the + optimized origin).""" g, fg = self.g, self.fg W = fg.residual() old = self.cohorts created = not old + glob = self.mode == "Global" + trace: dict = {} + if glob: + routes, union = None, None + elif created: + routes, union = self._prepare(W) + trace["prepare"] = {s: list(routes[s]) for s in self.roster} + else: + routes, union = None, self.union + trace["prepare"] = None own = merge(f.alloc for c in old.values() for f in c) V = add_view(W, own) P = self.placed_demand() cap = None if req is None else P + req - sol = flowcore.solve(g, V, self.roster, self._dests_ok, cap, elig=self.elig) - assert sol.placed >= P, "a Global call never reduces placed_demand()" + if glob: + sol = flowcore.solve(g, V, self.roster, self._dests_ok, cap, elig=self.elig) + else: + sol = flowcore.solve(g, V, self.roster, self._dests_ok, cap, edges=union) + assert sol.placed >= P, "a controller call never reduces placed_demand()" shares = self._decompose(sol) changed = created new_cohorts: dict[int, list[Flow]] = {} for s in self.roster: alloc = shares[s] - route = tuple(sorted(alloc)) prev = old.get(s, [None])[0] - if prev is not None and prev.route != route: - changed = True - plan = K.Plan(MF, LOSSLESS, s, self._dests_ok, route, route, None) - f = Flow( - src=s, - route=route, - plan=plan, - cost=self._route_cost(route, s), - flow_id=None if prev is None else prev.flow_id, - T=sol.supply.get(s, 0), - alloc=alloc, - delivered=sol.supply.get(s, 0), - new=prev is None, - seq=self.roster.index(s), - ) + if glob: + route = tuple(sorted(alloc)) + if prev is not None and prev.route != route: + changed = True + plan = K.Plan(MF, LOSSLESS, s, self._dests_ok, route, route, None) + f = Flow( + src=s, + route=route, + plan=plan, + cost=self._route_cost(route, s), + flow_id=None if prev is None else prev.flow_id, + new=prev is None, + seq=self.roster.index(s), + ) + else: + f = ( + copy.deepcopy(prev) + if prev is not None + else self._source_flow(s, routes[s], None) + ) + f.T = f.delivered = sol.supply.get(s, 0) + f.alloc = alloc new_cohorts[s] = [f] placed = sol.placed - P drafts, order = self._drafts(new_cohorts) new_ids = fg._commit(self.owner, drafts) self._assign_ids(order, new_ids) self.cohorts = new_cohorts + if not glob and created: + self.union = union + self.prepared = True if req is None: self.infinite = True else: self.requested += req - if req is not None and placed == req: - term = "complete" - elif sol.placed == 0: - term = "no_route" + term = "complete" if req is not None and placed == req else "exhausted" + if glob: + trace.update( + { + "V": V, + "cap": cap, + "flow_core": {**sol.payload(), "supply": sol.supply}, + "shares": {s: sorted(a.items()) for s, a in shares.items()}, + } + ) + self.curve = list(sol.cost_distribution) else: - term = "exhausted" - trace = { - "V": V, - "cap": cap, - "flow_core": {**sol.payload(), "supply": sol.supply}, - "shares": {s: sorted(a.items()) for s, a in shares.items()}, - } + trace.update( + { + "cap": cap, + "flow_core": { + "placed": sol.placed, + "edge_flows": list(sol.edge_flows), + "supply": sol.supply, + }, + "shares": {s: sorted(a.items()) for s, a in shares.items()}, + } + ) result = PlacementResult( placed, None if req is None else req - placed, @@ -584,11 +1013,10 @@ def _place_global(self, req, outputs) -> PlacementResult: changed, False, [], - cost_distribution=list(sol.cost_distribution), - local_outcomes=[(src, term) for src in self.roster], + cost_distribution=list(sol.cost_distribution) if glob else None, trace=trace, ) - return self._finish(result, outputs, sol) + return self._finish(result, outputs, sol, True) def _decompose(self, sol) -> dict[int, dict[int, int]]: """Canonical per-source decomposition (9.1): sources ascending; the smallest @@ -640,6 +1068,8 @@ def _place_flows(self, req, outputs) -> PlacementResult: "weights_changed": False, "seq": 0, "drops": {}, + "offered": 0, + "source_loss": 0, } cohorts = copy.deepcopy(self.cohorts) entry = {s: sum(f.delivered for f in cohorts.get(s, [])) for s in self.roster} @@ -661,6 +1091,8 @@ def _place_flows(self, req, outputs) -> PlacementResult: new_ids = fg._commit(self.owner, drafts) self._assign_ids(order, new_ids) self.cohorts = {s: c for s, c in cohorts.items() if c} + self.offered += ctx["offered"] + self.prepared = True if req is None: self.infinite = True else: @@ -671,9 +1103,22 @@ def _place_flows(self, req, outputs) -> PlacementResult: assert placed >= 0 if req is not None: assert placed <= req - outcomes = {st.src: self._local_outcome(st) for st in states} - unserved = [o for o in outcomes.values() if o != "complete"] - term = max(unserved, key=OUTCOME_RANK.__getitem__) if unserved else "complete" + if self.mode == "CapacityAware": + outcomes = {st.src: self._local_outcome(st) for st in states} + unserved = [o for o in outcomes.values() if o != "complete"] + term = ( + max(unserved, key=OUTCOME_RANK.__getitem__) if unserved else "complete" + ) + else: + # Pinned, the contract's termination (r8 14.2): no member anywhere is + # no_active_weight; a Lossy finite offer is complete. + if not any(f.plan.members for st in states for f in st.flows): + term = "no_active_weight" + elif self.admission == LOSSY: + term = "complete" if req is not None else "exhausted" + else: + term = "complete" if req is not None and placed == req else "exhausted" + outcomes = {st.src: term for st in states} trace = { "offers": { st.src: "inf" if st.offer is None else st.offer for st in states @@ -690,19 +1135,17 @@ def _place_flows(self, req, outputs) -> PlacementResult: ctx["routes_changed"], ctx["weights_changed"], sorted(ctx["drops"].items()), - local_outcomes=[(st.src, outcomes[st.src]) for st in states], + call_source_loss=ctx["source_loss"], trace=trace, ) return self._finish(result, outputs, None) def _local_outcome(self, st: SourceState) -> str: + """A CapacityAware source's outcome (Lossless).""" delivered = sum(f.delivered for f in st.flows) - st.P if st.offer == 0: return "complete" - if self.admission == LOSSY: - if st.offer is not None and st.trace.get("injected") == st.offer: - return "complete" - elif st.offer is not None and delivered == st.offer: + if st.offer is not None and delivered == st.offer: return "complete" if st.limit == "limit_flows" or st.capped: return "limit_flows" @@ -733,11 +1176,7 @@ def _run_source(self, st: SourceState, ctx) -> None: def _stage1(self, st: SourceState, ctx) -> None: W = ctx["W"] tr: dict = {} - if self.mode == "CostOnly": - route = self._cost_only_route(st.src, W) - tr["route"] = list(route) - st.flows.append(self._new_flow(st.src, route, W, ctx)) - elif self.mode == "Pinned": + if self.mode == "Pinned": for i, route in self.usable: f = self._new_flow(st.src, route, W, ctx) f.bundle_index = i @@ -899,6 +1338,8 @@ def _stage3_lossy(self, st: SourceState, ctx) -> None: f.offered = (f.offered or 0) + call.offered f.delivered += call.delivered injected += call.injected + ctx["offered"] += call.offered + ctx["source_loss"] += call.offered - call.injected rows.append( { "offer": "inf" if offer is None else offer, @@ -1018,7 +1459,6 @@ def _drafts(self, cohorts) -> tuple[list[Draft], list[Flow]]: flow_id=None if f.new else f.flow_id, sources=(f.src,), destinations=self._dests_ok, - placement=self.kernel, admission=self.admission, bundle=f.route, route_cost=f.cost, diff --git a/tests/typing/invalid_client.py b/tests/typing/invalid_client.py index 1251308..9455607 100644 --- a/tests/typing/invalid_client.py +++ b/tests/typing/invalid_client.py @@ -14,18 +14,14 @@ g = ng.Graph(2, [0], [1], [10], [1], 1.0) sel = ng.PathSelection(ng.EdgeTieBreak.DETERMINISTIC, ng.EdgePriority.CAPACITY) -cfg = ng.FlowPolicyConfig( - routing=ng.Global(), - placement=ng.FlowPlacement.MAX_FLOW, - admission=ng.Admission.LOSSLESS, - selection=sel, -) - -# The eight result and factory classes have no constructor ("No constructor defined!"). +cfg = ng.FlowPolicyConfig(routing=ng.Global()) + +# The nine result and factory classes have no constructor ("No constructor defined!"). ng.Eligibility() # expect: reportCallIssue ng.PredDAG() # expect: reportCallIssue ng.FlowRecord() # expect: reportCallIssue ng.PlacementResult() # expect: reportCallIssue +ng.SourceFlow() # expect: reportCallIssue ng.DagCacheStats() # expect: reportCallIssue ng.SensitivityEntry() # expect: reportCallIssue ng.SensitivityResult() # expect: reportCallIssue @@ -42,18 +38,22 @@ ng.Graph(2, [0], [1], [1.5], [1], 1.0) # expect: reportArgumentType ng.FlowLedger(g, residual=np.zeros(1, dtype=np.float64)) # expect: reportArgumentType ng.spf(g, 0, ng.KspOptions(1, sel)) # expect: reportArgumentType -ng.capacity(g, 0, 1, ng.SensitivityOptions(cfg)) # expect: reportArgumentType +ng.capacity(g, 0, 1, cfg) # expect: reportArgumentType guard = ng.DiminishingReturns(2, 0.5) ng.CapacityAware(max_path_cost=guard) # expect: reportArgumentType ng.to_units("1.5", 1.0) # expect: reportCallIssue, reportArgumentType +# FlowPolicyConfig takes keywords only. +ng.FlowPolicyConfig(ng.Global()) # expect: reportCallIssue # Integer arrays serve as hops and pairs; float arrays do not. ng.Path(g, np.zeros((1, 1), dtype=np.float64)) # expect: reportArgumentType float_pairs = np.zeros((1, 2), dtype=np.float64) -ng.batch_capacity(g, float_pairs, ng.CapacityOptions(cfg)) # expect: reportArgumentType +ng.batch_capacity(g, float_pairs, ng.QueryOptions(cfg)) # expect: reportArgumentType # Missing Optional checks: these results may be None. result = ng.spf(g, 0, ng.SpfOptions(ng.Direction.FORWARD, sel, targets=1)) cost: int = result.target_cost # expect: reportAssignmentType first = result.costs[0] # expect: reportOptionalSubscript -flows = ng.capacity(g, 0, 1, ng.CapacityOptions(cfg)).edge_flows +flows = ng.capacity(g, 0, 1, ng.QueryOptions(cfg)).edge_flows total = flows.sum() # expect: reportOptionalMemberAccess +best = ng.capacity(g, 0, 1, ng.QueryOptions(cfg)) +cost_total: int = best.total_cost # expect: reportAssignmentType diff --git a/tests/typing/valid_client.py b/tests/typing/valid_client.py index 1e7a6fd..ff23db4 100644 --- a/tests/typing/valid_client.py +++ b/tests/typing/valid_client.py @@ -90,15 +90,27 @@ assert_type(ledger.record(record.flow_id), ng.FlowRecord) policy.remove() -# The evaluators, with optional arguments left out or None. +# The result's accounting: exact ints, None where a field does not apply, per-source rows. +assert_type(result.requested, int | float) +assert_type(result.offered, int | None) +assert_type(result.unadmitted, int | None) +assert_type(result.total_cost, int | None) +assert_type(result.call_drops, list[tuple[int, int]]) +for row in result.by_source: + assert_type(row, ng.SourceFlow) + assert_type(row.admitted, int) + assert_type(row.offered, int | None) + +# The evaluators, with optional arguments left out or None. Only CostOnly reads a cache; the +# controllers' origin defaults to OPTIMIZED. cfg = ng.FlowPolicyConfig( - routing=ng.Global(), + routing=ng.CostOnly(), placement=ng.FlowPlacement.MAX_FLOW, - admission=ng.Admission.LOSSLESS, - selection=sel, + origin=ng.Origin.EQUAL, ) +assert_type(cfg.origin, ng.Origin | None) cache = ng.DagCache(g) -opts = ng.CapacityOptions(cfg, elig=None, cache=cache) +opts = ng.QueryOptions(cfg, elig=None, cache=cache) assert_type(opts.elig, ng.Eligibility | None) placed: int = ng.capacity(g, 0, 3, opts).placed batch = ng.batch_capacity(g, [(0, 3), ([0, 1], np.array([3]))], opts, workers=1) @@ -108,11 +120,12 @@ from_pair = ng.batch_capacity(g, [np.array([0, 3], dtype=np.int64)], opts) assert_type(from_rows, list[ng.PlacementResult]) assert_type(from_pair, list[ng.PlacementResult]) -sens = ng.sensitivity(g, 0, 3, ng.SensitivityOptions(cfg)) +global_cfg = ng.FlowPolicyConfig(routing=ng.Global()) +sens = ng.sensitivity(g, 0, 3, ng.QueryOptions(global_cfg)) for entry in sens.entries: assert_type(entry.loss, int) assert_type(cache.stats().hits, int) -routing = cfg.routing +routing = global_cfg.routing if isinstance(routing, ng.Global): print("Global routing:", routing) print(placed, len(batch), len(paths), ng.UNREACHABLE, ng.__version__) From 4a3346bf391fc0adf538c002cecb80e445020509 Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Sun, 18 Oct 2026 15:02:45 +0100 Subject: [PATCH 15/39] Forwarding programs, Pinned over programs, weights and black holes - Every computing model records what it decided as a ForwardingProgram: tunnels and split routes with whole-number weights and equal or captured source injection; controllers cut their solved flow into paths. - ForwardingProgram.from_routes builds one from given routes; Pinned forwards one without computing, replayed under its mask or stale with black holes. - Global(support=dag); WCMP weights from WeightBasis. - evaluate, replace and forward; program-based flags and per-entry records; by_tunnel and FlowRecord.entry; QueryOptions.offered. - Lossy forwarding inside one program uses nested highest averages at shared links and recalculates cycles in rounds, with a check or an explicit error. - Weight sums are exact beyond 64 bits. Co-Authored-By: Claude Opus 5.5 --- CHANGELOG.md | 57 +- CMakeLists.txt | 4 + README.md | 43 +- bindings/python/axes.cpp | 27 +- bindings/python/eligibility.cpp | 9 +- bindings/python/evaluators.cpp | 50 +- bindings/python/flow_ledger.cpp | 3 +- bindings/python/flow_policy.cpp | 150 +- bindings/python/flow_record.cpp | 9 +- bindings/python/hooks.cpp | 3 - bindings/python/module.cpp | 10 +- bindings/python/placement_result.cpp | 83 +- bindings/python/policy_config.cpp | 56 +- bindings/python/program.cpp | 200 ++ bindings/python/publication.hpp | 82 + bindings/python/registration.hpp | 3 +- bindings/python/routing.cpp | 78 +- bindings/python/values.hpp | 20 + dev/cpp-tests.sh | 4 +- dev/perf/aba_api.hpp | 131 +- dev/perf/aba_rows.hpp | 44 + dev/perf/test_tool.py | 4 +- dev/stubs/check_clients.py | 5 + dev/stubs/overrides.pyi | 141 +- docs/semantics.md | 552 +++- include/netgraph/core/detail/enum_domain.hpp | 9 + include/netgraph/core/detail/forwarding.hpp | 185 ++ include/netgraph/core/detail/int128.hpp | 28 + include/netgraph/core/detail/kernels.hpp | 88 +- .../netgraph/core/detail/ledger_access.hpp | 6 + .../netgraph/core/detail/policy_engine.hpp | 85 +- .../netgraph/core/detail/private_hooks.hpp | 6 + include/netgraph/core/detail/program_data.hpp | 182 ++ include/netgraph/core/evaluators.hpp | 35 +- include/netgraph/core/flow_policy.hpp | 235 +- include/netgraph/core/flow_record.hpp | 10 +- include/netgraph/core/options.hpp | 14 +- include/netgraph/core/program.hpp | 117 + python/netgraph_core/__init__.py | 18 +- python/netgraph_core/__init__.pyi | 595 ++++- src/evaluators.cpp | 69 +- src/flow_ledger.cpp | 27 +- src/flow_policy.cpp | 1563 ++++++++---- src/forwarding.cpp | 1466 +++++++++++ src/kernels.cpp | 169 +- src/pred_dag.cpp | 33 +- src/program.cpp | 425 ++++ tests/cpp/cost_only_creation_tests.cpp | 48 +- tests/cpp/flow_ledger_fault_tests.cpp | 86 +- tests/cpp/flow_ledger_tests.cpp | 163 +- tests/cpp/flow_policy_fault_tests.cpp | 272 +- tests/cpp/flow_policy_fixture_tests.cpp | 45 +- tests/cpp/flow_policy_tests.cpp | 306 +-- tests/cpp/kernels_tests.cpp | 134 +- tests/cpp/pinned_one.hpp | 55 - tests/cpp/pooled_origin_tests.cpp | 54 +- tests/cpp/program_tests.cpp | 2225 +++++++++++++++++ tests/cpp/route_policy.hpp | 82 + tests/cpp/state_comparators.hpp | 68 +- tests/cpp/test_utils.hpp | 124 + tests/cpp/zero_capacity_tests.cpp | 62 +- tests/data/policy_fixtures.json | 2 +- tests/py/helpers.py | 19 +- tests/py/program_oracle.py | 248 ++ tests/py/test_apportionment.py | 7 +- tests/py/test_docs_examples.py | 2 +- tests/py/test_flow_ledger.py | 65 +- tests/py/test_flow_policy.py | 85 +- tests/py/test_flow_policy_fixtures.py | 24 +- tests/py/test_native_allocation.py | 158 +- tests/py/test_origin.py | 44 +- tests/py/test_pooled.py | 29 +- tests/py/test_programs.py | 2067 +++++++++++++++ tests/py/test_public_surface.py | 59 +- tests/py/test_zero_capacity.py | 12 +- tests/reference/policy/README.md | 57 +- .../policy/export_policy_fixtures.py | 18 +- .../policy/p2_transaction/fixtures.py | 211 +- .../reference/policy/p2_transaction/policy.py | 326 ++- tests/typing/invalid_client.py | 8 +- tests/typing/valid_client.py | 39 +- 81 files changed, 12117 insertions(+), 2220 deletions(-) create mode 100644 bindings/python/program.cpp create mode 100644 include/netgraph/core/detail/forwarding.hpp create mode 100644 include/netgraph/core/detail/program_data.hpp create mode 100644 include/netgraph/core/program.hpp create mode 100644 src/forwarding.cpp create mode 100644 src/program.cpp delete mode 100644 tests/cpp/pinned_one.hpp create mode 100644 tests/cpp/program_tests.cpp create mode 100644 tests/cpp/route_policy.hpp create mode 100644 tests/py/program_oracle.py create mode 100644 tests/py/test_programs.py diff --git a/CHANGELOG.md b/CHANGELOG.md index 7a79d06..1956a43 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -39,22 +39,27 @@ engine. It replaces the 0.11 API. `reset()` and `copy()` (both rejected while a policy is bound; `reset()` clears the records a destroyed policy left behind). `FlowRecord` carries the flow's endpoints as sets, admission, bundle (`PredDAG`), route cost, `offered` (Lossy only), delivery and - per-edge allocations and drops; counters are 128-bit (exact Python ints). Policies place and + per-edge allocations and drops, and `entry` (the program entry a Pinned record carries); + counters are 128-bit (exact Python ints). Policies place and remove flows; `reset()` replaces an unbound ledger's baseline and clears its records. - **Kernels**: `FlowPlacement` (`MAX_FLOW`, `WEIGHTED`, `EQUAL_BALANCED`) and `Admission` (`LOSSLESS`, `LOSSY`). `MAX_FLOW` re-solves the flow with the flow core on its route over the free - capacity plus its own allocation; `WEIGHTED` splits in proportion to weights fixed at creation - from `priority` (highest averages, D'Hondt, EdgeId ties); `EQUAL_BALANCED` splits equally by + capacity plus its own allocation; `WEIGHTED` splits in proportion to integer weights frozen when + the route is prepared, from a `WeightBasis` (`CAPACITY`, `EXPLICIT` with `edge_weights`, + `RESIDUAL_SNAPSHOT`; the selection's priority no longer chooses weights, so `WEIGHTED` with + `HEADROOM` is allowed for CostOnly) (highest averages, D'Hondt, EdgeId ties); `EQUAL_BALANCED` splits equally by round robin from the lowest EdgeId; Lossy splits each offer per call and records transit drops and what is lost at a source. - **Policies**: `FlowPolicy(ledger, sources, destinations, config, elig=None, cache=None)` is the one placement engine. `FlowPolicyConfig(*, routing, placement=None, - admission=LOSSLESS, selection=None, origin=None)` takes keywords only; the routing is - `CostOnly()`, `CapacityAware(...)` (flow count, an optional maximum, an `Absolute` or `Stretch` - cost ceiling, a minimum flow bandwidth in units, reoptimisation, `DiminishingReturns(window, - fraction)`), `Global()` or `Pinned(bundles)`; each routing accepts the combinations of one - table (placement required except for Global, which takes none; `Origin.EQUAL` or `OPTIMIZED`; - admission; selection) and any other raises `ValueError`, the first defect in a stated order. + admission=LOSSLESS, selection=None, origin=None, weights=None, edge_weights=None)` takes + keywords only; the routing is `CostOnly()`, `CapacityAware(...)` (flow count, an optional + maximum, an `Absolute` or `Stretch` cost ceiling, a minimum flow bandwidth in units, + reoptimisation, `DiminishingReturns(window, fraction)`), `Global(*, support=None)` (a support + restricts the controller to a DAG's edges) or `Pinned(program, *, black_holes=None)`; each + routing accepts the combinations of one table (placement required for CostOnly and + CapacityAware; `Origin.EQUAL` or `OPTIMIZED`; admission; selection; weights) and any other + raises `ValueError`, the first defect in a stated order. `place(volume, outputs=None)` forwards CostOnly's pooled program, re-solves the controllers (Global and CostOnly `MAX_FLOW`: the cumulative minimum-cost flow on the residual plus the policy's own allocation, under either origin), or runs CapacityAware's per-source transaction @@ -63,10 +68,28 @@ engine. It replaces the 0.11 API. `call_drops`, `call_source_loss`, `termination` and flags; the demand's `requested`, `offered`, `admitted`, `delivered`, `unadmitted`, `source_loss`, `drops`, `by_source` (`SourceFlow` rows), `total_cost` and `cost_distribution`; and `edge_flows`, `residual`, - `bottleneck` and `min_cut` when requested through `OutputOptions`. A request of 0 is - validated like any other. - `remove()`, `records()`, `record(flow_id)` (the policy's own records), `placed_demand()` and - `usable_bundles()` complete the policy. + `bottleneck` and `min_cut` when requested through `OutputOptions`, `program` and `by_tunnel` + (`TunnelFlow` rows). A request of 0 is validated like any other. + `evaluate(offer)` (computes a whole new offer on the policy's released view and publishes + nothing), `replace(offer)` (the same, published: new records, a new epoch) and + `forward(offer, black_holes=None)` (a whole new offer over the installed program, no route + computation), `remove()`, `records()`, `record(flow_id)` (the policy's own records), + `placed_demand()` and `program` complete the policy. +- **Forwarding programs**: `ForwardingProgram`, the routes and integer weights of one demand + (tunnels `Tunnel`, split routes) with its injection (equal sources, or the captured source + weights of an optimized controller). CostOnly and Global produce one (`policy.program`, + `result.program`; the controllers decompose their solved flow into paths, also with one + source); `ForwardingProgram.from_routes(graph, sources, destinations, routes, *, placement, + weights, edge_weights, residual)` builds one from `Route(head, Path or PredDAG, *, weight=1)` + (order and duplicates kept, every split route its own split context). `Pinned(program)` + forwards one: replayed under the policy's Eligibility (a tunnel touching an excluded element + is `FAILED`, its head splits over the survivors) and, with `black_holes`, stale (the program + unchanged, traffic reaching a black hole dropped there, `BLACKHOLED`; `TunnelStatus`). Lossy + forwarding divides a shared edge by nested highest averages (heads, then entries), evaluates + the program as a whole, and recalculates edges that wait on each other in a cycle in rounds + (a period-2 or round-limit `ValueError`; an independent check before publication). Pinned has + no endpoint-count limit, rejects `placement`, `selection`, `origin` and `weights`, and keeps + one record per entry. - **Failure guarantee**: every public call either completes or raises and changes nothing, also when memory runs out, a worker thread fails or the Python result cannot be built. Two limits: running out of memory inside pybind11's own object construction (outside the library's checked @@ -104,10 +127,11 @@ engine. It replaces the 0.11 API. evaluator. A frozen lookup miss raises `DagCacheMiss`, an exception the evaluators pass on unchanged. `clear()` raises when frozen, and `thaw()` returns to building mode after the caller has joined every reader. -- **Evaluators**: one options type, `QueryOptions(config, *, elig=None, cache=None, outputs=None)`; +- **Evaluators**: one options type, `QueryOptions(config, *, elig=None, cache=None, outputs=None, + offered=None)` (`offered`: the finite offer Pinned Lossy capacity requires); `capacity(graph, sources, destinations, opts)` (with `Global()` the exact maximum flow, its marginal cost curve and its minimum cut), `batch_capacity(graph, pairs, opts, per_pair_elig=None, - workers=None)` (pair order; the lowest failing index raises) and `sensitivity(graph, sources, + workers=None)` (pair order; the lowest failing index raises; Pinned is rejected) and `sensitivity(graph, sources, destinations, opts, workers=None)` (every candidate edge and its signed unthresholded loss in units; a failed deletion fails the call). A supplied building cache needs `workers == 1`; a frozen cache is shared by every worker. With `workers=None` the count is 1 when a cache is supplied, @@ -124,7 +148,8 @@ engine. It replaces the 0.11 API. together; graphs of every accepted size still build and can be searched. - **C++ headers** (under `netgraph/core/`): `types.hpp`, `graph.hpp` (`Graph`, `to_units`, `as_float`; it includes `eligibility.hpp`), `eligibility.hpp`, `options.hpp` (the selection - axes, `FlowPlacement`, `Admission`, `Origin`), `pred_dag.hpp`, `flow_record.hpp` (`FlowId`, + axes, `FlowPlacement`, `Admission`, `Origin`, `WeightBasis`), `pred_dag.hpp`, `program.hpp` + (`ForwardingProgram`, `Tunnel`, `TunnelStatus`, `Route`, `RouteOptions`), `flow_record.hpp` (`FlowId`, `Counter128`, `FlowRecord`), `flow_ledger.hpp`, `flow_policy.hpp`, `dag_cache.hpp`, `evaluators.hpp` and `search.hpp` (`spf`, `ksp`, `resolve_to_paths` and their options; the queue choice `SpfQueue { Auto, Heap }` is a C++-only trailing parameter of `spf`); each diff --git a/CMakeLists.txt b/CMakeLists.txt index 6b5bb20..ecf2300 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -76,6 +76,8 @@ add_library(netgraph_core STATIC src/dag_cache.cpp src/flow_policy.cpp src/evaluators.cpp + src/program.cpp + src/forwarding.cpp ) target_include_directories(netgraph_core PUBLIC $ @@ -98,6 +100,7 @@ pybind11_add_module(_netgraph_core bindings/python/path.cpp bindings/python/flow_record.cpp bindings/python/flow_ledger.cpp + bindings/python/program.cpp bindings/python/routing.cpp bindings/python/policy_config.cpp bindings/python/placement_result.cpp @@ -156,6 +159,7 @@ if(NETGRAPH_CORE_BUILD_TESTS) tests/cpp/flow_policy_tests.cpp tests/cpp/zero_capacity_tests.cpp tests/cpp/pooled_origin_tests.cpp + tests/cpp/program_tests.cpp ) target_compile_definitions(netgraph_core_tests PRIVATE NETGRAPH_CORE_TEST_DATA="${CMAKE_CURRENT_SOURCE_DIR}/tests/data") # Allocation-failure tests replace the global operator new: a separate executable. diff --git a/README.md b/README.md index 7e36b76..ad5673b 100644 --- a/README.md +++ b/README.md @@ -68,7 +68,7 @@ specified in [docs/semantics.md](docs/semantics.md). - **`FlowLedger(graph, residual=None)`**: the integer ledger of one graph: a baseline in units (replaced by `reset()`) and the records (`FlowRecord`: flow id, owner, endpoints, - admission, bundle, route cost, offered, delivered, per-edge allocation and drops) + admission, program entry, bundle, route cost, offered, delivered, per-edge allocation and drops) of the flows placed on it. `allocated()` is the exact sum of the records and `residual()` the baseline minus it; `bottleneck(sources)` lists the full edges leaving the set of nodes the sources can still reach. `reset()` and `copy()` are rejected while a policy is bound @@ -77,17 +77,18 @@ specified in [docs/semantics.md](docs/semantics.md). - **Kernels**, the rules that spread one flow over its route (`FlowPlacement`: `MAX_FLOW`, `WEIGHTED`, `EQUAL_BALANCED`; `Admission`: `LOSSLESS`, `LOSSY`): `MAX_FLOW` re-solves the flow with the flow core on its DAG, over the free capacity plus its own allocation; `WEIGHTED` splits - at every node in proportion to weights fixed when the flow is created (highest averages: - whole-unit shares as close to proportional as possible); `EQUAL_BALANCED` splits equally (round + at every node in proportion to integer weights frozen when the route is prepared, from a + `WeightBasis` (`CAPACITY`, `EXPLICIT`, `RESIDUAL_SNAPSHOT`) (highest averages: whole-unit shares + as close to proportional as possible); `EQUAL_BALANCED` splits equally (round robin); `LOSSY` forwards hop by hop and records what it drops. ### Policies - **`FlowPolicy(ledger, sources, destinations, config, elig=None, cache=None)`**: the placement engine for one demand, bound to its ledger. `FlowPolicyConfig(*, routing, placement=None, - admission=LOSSLESS, selection=None, origin=None)` chooses the routing, its kernel (required for - every routing but Global, which takes none), the admission, the path selection (default - `PathSelection()`) and the origin: `EQUAL` (every source sends the same round-robin share) or + admission=LOSSLESS, selection=None, origin=None, weights=None, edge_weights=None)` chooses the + routing, its kernel (required for CostOnly and CapacityAware), the admission, the path + selection (default `PathSelection()`), the weight basis of CostOnly `WEIGHTED` and the origin: `EQUAL` (every source sends the same round-robin share) or `OPTIMIZED` (a controller chooses how much enters where; the default of the controllers). The routing is one of: - `CostOnly()`: static shortest paths, as routers forward with an IGP such as OSPF; the @@ -97,19 +98,30 @@ specified in [docs/semantics.md](docs/semantics.md). reoptimize=False, diminishing=None)`: tunnels that each search the free capacity (CSPF), with an `Absolute` or `Stretch` cost ceiling, a `DiminishingReturns(window, fraction)` guard, and at most `MAX_FLOWS_PER_CALL` (10,000) new flows per call; - - `Global()`: an ideal controller: the minimum-cost flow from all the policy's sources to its - destinations, on the free capacity plus its own allocation; - - `Pinned(bundles)`: fixed routes given as `PredDAG`s. + - `Global(support=None)`: an ideal controller: the minimum-cost flow from all the policy's + sources to its destinations, on the free capacity plus its own allocation, optionally only + over the edges of a support DAG; + - `Pinned(program, black_holes=None)`: forwarding over a given `ForwardingProgram`, computing + nothing; the policy's Eligibility fails the tunnels it touches (their heads split over the + survivors) and `black_holes` makes failed elements swallow what reaches them (stale + forwarding). +- **`ForwardingProgram`**: the routes and integer weights of one demand. CostOnly and Global + produce one (`policy.program`, `result.program`; CapacityAware has none); `ForwardingProgram.from_routes(graph, + sources, destinations, routes)` builds one from `Route(head, Path or PredDAG, weight=1)` + entries. - **`place(volume, outputs=None)`** adds `volume` to the policy's request as one all-or-nothing step (CostOnly forwards over the program it prepares once per epoch; the controllers re-solve what they already deliver plus this request; CapacityAware places source by source) and returns a `PlacementResult`: this call's `placed`, `remaining`, `delivery_delta`, `call_drops`, `call_source_loss`, `termination` and flags; the demand's `requested`, `offered`, `admitted`, `delivered`, `unadmitted`, `source_loss`, `drops`, per-source rows `by_source`, `total_cost` - (controllers) and `cost_distribution` (optimized Global); and, when requested through - `OutputOptions`, `edge_flows`, `residual`, `bottleneck` and `min_cut` (optimized Global). - `remove()` reverts the policy's flows; `records()`, `record(flow_id)`, `placed_demand()` and - `usable_bundles()` read its state. + (controllers), `cost_distribution` (optimized Global), the `program` and per-tunnel rows + `by_tunnel`; and, when requested through `OutputOptions`, `edge_flows`, `residual`, + `bottleneck` and `min_cut` (optimized Global). + `evaluate(offer)` computes a whole new offer without publishing it, `replace(offer)` publishes + it, `forward(offer, black_holes=None)` sends it over the installed program; `remove()` reverts + the policy's flows; `records()`, `record(flow_id)`, `placed_demand()` and `program` read its + state. - **Failure guarantee**: every public call either completes or raises one exception and leaves every ledger, policy, cache and scratch buffer as it was, whatever fails (validation, memory, a worker thread, building the Python result). Two limits: pybind11 does not check every @@ -160,11 +172,12 @@ values. ### Evaluators All three take one options type, `QueryOptions(config, *, elig=None, cache=None, -outputs=None)`. `capacity(graph, sources, destinations, opts)` is `place(+inf)` of a policy on a fresh ledger; `Global()` gives the +outputs=None, offered=None)`. `capacity(graph, sources, destinations, opts)` is `place(+inf)` of a policy on a fresh ledger +(a Lossy Pinned policy places the finite `offered` instead); `Global()` gives the exact maximum flow with its marginal cost curve, and its minimum cut with `outputs=OutputOptions(min_cut=True)`. `batch_capacity(graph, pairs, opts, per_pair_elig=None, workers=None)` evaluates pairs in pair order (the lowest failing -index raises). `sensitivity(graph, sources, destinations, opts, workers=None)` reports, for every candidate edge, the signed loss in placed units when the +index raises; Pinned, whose program fixes its endpoints, is rejected). `sensitivity(graph, sources, destinations, opts, workers=None)` reports, for every candidate edge, the signed loss in placed units when the edge is removed. With `workers=None` the worker count is 1 when a cache is supplied, otherwise it comes from `NGRAPH_CORE_BATCH_THREADS` and `NGRAPH_CORE_SENSITIVITY_THREADS`. diff --git a/bindings/python/axes.cpp b/bindings/python/axes.cpp index dad3a66..952db36 100644 --- a/bindings/python/axes.cpp +++ b/bindings/python/axes.cpp @@ -13,13 +13,14 @@ namespace netgraph::core::bindings { void register_axes(py::module_& m) { py::enum_(m, "FlowPlacement", - "How traffic spreads over the routes (CostOnly's kernel; CapacityAware and Pinned flows too).\n" + "How traffic spreads over the routes (CostOnly's kernel; CapacityAware's flows; the interior split\n" + "of supplied PredDAG routes, EQUAL_BALANCED or WEIGHTED).\n" "MAX_FLOW: the minimum-cost flow core over the routes (a controller restricted to them), re-solved\n" "over the free capacity plus the policy's own allocation (it may move its own earlier placement,\n" "never another's). WEIGHTED (WCMP, weighted-cost multipath): every node splits in proportion to\n" "weights fixed when the routes are prepared (highest averages: whole-unit shares as close to\n" - "proportional as possible). EQUAL_BALANCED (ECMP, equal-cost multipath): every node splits\n" - "equally, by round robin.") + "proportional as possible; the weights come from WeightBasis). EQUAL_BALANCED (ECMP, equal-cost\n" + "multipath): every node splits equally, by round robin.") .value("MAX_FLOW", FlowPlacement::MaxFlow) .value("WEIGHTED", FlowPlacement::Weighted) .value("EQUAL_BALANCED", FlowPlacement::EqualBalanced); @@ -38,6 +39,17 @@ void register_axes(py::module_& m) { .value("EQUAL", Origin::Equal) .value("OPTIMIZED", Origin::Optimized); + py::enum_(m, "WeightBasis", + "Where WEIGHTED member weights come from (CostOnly WEIGHTED and supplied PredDAG routes).\n" + "CAPACITY (the default): each member's static capacity. EXPLICIT: edge_weights, one integer per\n" + "edge (a positive weight on an edge of capacity 0 becomes 0). RESIDUAL_SNAPSHOT: each member's free\n" + "capacity read once when the routes are prepared, against one common view, and frozen for the\n" + "epoch. A member of weight 0 is pruned with the branches it leaves without a destination, inside\n" + "the route only. The selection's priority never chooses weights.") + .value("CAPACITY", WeightBasis::Capacity) + .value("EXPLICIT", WeightBasis::Explicit) + .value("RESIDUAL_SNAPSHOT", WeightBasis::ResidualSnapshot); + py::enum_(m, "EdgeTieBreak", "How a search breaks cost ties. Between parallel members of one (u, v) pair\n" "(multi_edge = False): DETERMINISTIC keeps the lowest EdgeId, PREFER_HIGHER_PRIORITY the\n" @@ -49,10 +61,11 @@ void register_axes(py::module_& m) { .value("PREFER_HIGHER_PRIORITY", EdgeTieBreak::PreferHigherPriority); py::enum_(m, "EdgePriority", - "The per-edge value PREFER_HIGHER_PRIORITY reads and, with WEIGHTED, the value that decides which\n" - "edges a flow uses and their weights: RESIDUAL (residual units), CAPACITY (static capacity units),\n" - "HEADROOM (residual / capacity, compared exactly as a fraction, 0 on an edge of capacity 0;\n" - "rejected with WEIGHTED). A search without a residual reads the static capacity as the residual:\n" + "The per-edge value PREFER_HIGHER_PRIORITY reads (single-path and parallel-member choices) and,\n" + "for CapacityAware's WEIGHTED flows, the value that decides which edges a flow uses and their\n" + "weights: RESIDUAL (residual units), CAPACITY (static capacity units), HEADROOM (residual /\n" + "capacity, compared exactly as a fraction, 0 on an edge of capacity 0; rejected with\n" + "CapacityAware's WEIGHTED). A search without a residual reads the static capacity as the residual:\n" "RESIDUAL and CAPACITY read the capacity, HEADROOM 1 (0 on an edge of capacity 0).") .value("RESIDUAL", EdgePriority::Residual) .value("CAPACITY", EdgePriority::Capacity) diff --git a/bindings/python/eligibility.cpp b/bindings/python/eligibility.cpp index bcb96b7..f0658d4 100644 --- a/bindings/python/eligibility.cpp +++ b/bindings/python/eligibility.cpp @@ -8,6 +8,7 @@ #include "netgraph/core/eligibility.hpp" #include "values.hpp" +#include "publication.hpp" #include "registration.hpp" namespace py = pybind11; @@ -38,12 +39,12 @@ void register_eligibility(py::module_& m) { "bool[E] read-only view (not excluded and both endpoints allowed)") .def_static( "intersect", - [](const std::shared_ptr& a, const std::shared_ptr& b) -> std::shared_ptr { + [](const std::shared_ptr& a, const std::shared_ptr& b) { if (!a || !b) throw py::value_error("Eligibility.intersect takes two Eligibility values"); auto r = Eligibility::intersect(*a, *b); - if (r.uid() == a->uid()) return a; - if (r.uid() == b->uid()) return b; - return std::make_shared(std::move(r)); + if (r.uid() == a->uid()) return typed_shared(a); + if (r.uid() == b->uid()) return typed_shared(b); + return typed_shared(std::make_shared(std::move(r))); }, py::arg("a"), py::arg("b"), "The intersection of two values of one graph (ValueError for values of different graphs):\n" diff --git a/bindings/python/evaluators.cpp b/bindings/python/evaluators.cpp index 881c28e..c308a13 100644 --- a/bindings/python/evaluators.cpp +++ b/bindings/python/evaluators.cpp @@ -38,6 +38,8 @@ struct PyQueryOptions { std::shared_ptr elig; std::shared_ptr cache; OutputOptions outputs; + std::optional> offered; + [[nodiscard]] QueryOptions native() const { return QueryOptions {config, elig.get(), cache.get(), outputs, offered}; } }; // workers: an explicit integer is passed through (validated by the evaluator); None takes the @@ -57,20 +59,33 @@ std::int32_t workers_of(const py::object& workers, bool sensitivity, bool cache_ void register_evaluators(py::module_& m) { py::class_(m, "QueryOptions", "The options of every evaluator (capacity, batch_capacity, sensitivity): the configuration,\n" - "the static Eligibility (None: all allowed), the DagCache (None: private per worker) and\n" - "the optional outputs of each result (sensitivity: of its baseline).") + "the static Eligibility (None: all allowed), the DagCache (None: private per worker), the\n" + "optional outputs of each result (sensitivity: of its baseline) and offered (int units or\n" + "float('inf'); None: absent), the offer of a Pinned LOSSY evaluation: required and finite\n" + "there; a LOSSLESS model rejects it (` LOSSLESS capacity does not accept offered`),\n" + "CostOnly LOSSY too (`CostOnly LOSSY capacity uses first-hop injection`).") .def(py::init([](const FlowPolicyConfig& config, const std::shared_ptr& elig, - const std::shared_ptr& cache, const py::object& outputs) { - return PyQueryOptions {config, elig, cache, outputs_of(outputs)}; + const std::shared_ptr& cache, const py::object& outputs, const py::object& offered) { + std::optional> o; + if (!offered.is_none()) o = units_or_inf(offered, "offered must be an integer in [0, 2^62) or permitted +inf"); + return PyQueryOptions {config, elig, cache, outputs_of(outputs), o}; }), py::arg("config"), py::kw_only(), py::arg("elig") = nullptr, py::arg("cache") = nullptr, - py::arg("outputs") = py::none()) + py::arg("outputs") = py::none(), py::arg("offered") = py::none()) .def_readonly("config", &PyQueryOptions::config, "the FlowPolicyConfig of every evaluated policy (sensitivity: the baseline and every deletion)") .def_readonly("elig", &PyQueryOptions::elig, "the static Eligibility; None: everything allowed") .def_readonly("cache", &PyQueryOptions::cache, "the supplied DagCache; None: a private cache per worker") .def_readonly("outputs", &PyQueryOptions::outputs, - "the OutputOptions of every result (sensitivity: of the baseline)"); + "the OutputOptions of every result (sensitivity: of the baseline)") + .def_property_readonly( + "offered", + [](const PyQueryOptions& o) -> py::object { + if (!o.offered.has_value()) return py::none(); + if (!o.offered->has_value()) return py::float_(std::numeric_limits::infinity()); + return py::int_(**o.offered); + }, + "the offer of a Pinned LOSSY evaluation (int units, or float('inf')); None: absent"); py::class_(m, "SensitivityEntry", "One candidate edge: edge and loss (int units: the baseline minus the capacity without the\n" @@ -94,7 +109,7 @@ void register_evaluators(py::module_& m) { const auto o = options_of(opts, "QueryOptions"); const auto s = node_ids(sources, graph->num_nodes(), "sources"); const auto d = node_ids(destinations, graph->num_nodes(), "destinations"); - const QueryOptions c {o.config, o.elig.get(), o.cache.get(), o.outputs}; + const QueryOptions c = o.native(); // One public call on a frozen cache's statistics, its result object included: its hits count // only when the Python result exists. return detail::frozen_call(c.cache, [&](detail::FrozenTally& tally) { @@ -107,7 +122,8 @@ void register_evaluators(py::module_& m) { }); }, py::arg("graph"), py::arg("sources"), py::arg("destinations"), py::arg("opts"), - "place(+inf) of a FlowPolicy with opts.config on a fresh ledger of the graph -> PlacementResult.\n" + "place(+inf) of a FlowPolicy with opts.config on a fresh ledger of the graph (Pinned LOSSY:\n" + "place(opts.offered)) -> PlacementResult.\n" "The exact maximum flow is Global() (the optimized origin); with origin=EQUAL, the largest total whose\n" "round-robin source shares are all carried. A supplied frozen cache raises DagCacheMiss for an absent\n" "key, unchanged.\n" @@ -122,7 +138,7 @@ void register_evaluators(py::module_& m) { // as the C++ validation), so the lowest failing pair index is reported. const auto o = options_of(opts, "QueryOptions"); const auto w = workers_of(workers, false, static_cast(o.cache)); - const QueryOptions c {o.config, o.elig.get(), o.cache.get(), o.outputs}; + const QueryOptions c = o.native(); detail::check_batch_arguments(*graph, c, w); if (not_a_sequence(pairs)) throw py::value_error("pairs must be a sequence of (sources, destinations)"); const auto items = py::reinterpret_borrow(pairs); @@ -181,7 +197,8 @@ void register_evaluators(py::module_& m) { "intersected with per_pair_elig[i] (None entries allowed; a given sequence has one entry per pair,\n" "also when empty). workers >= 1; None: NGRAPH_CORE_BATCH_THREADS or 1, and 1 when a cache is\n" "supplied. Everything is validated before a worker starts, the arguments first, then each pair\n" - "completely in pair order, so the error of the lowest failing pair is raised. Pinned is rejected;\n" + "completely in pair order, so the error of the lowest failing pair is raised. Pinned is rejected\n" + "(`batch_capacity does not accept Pinned`: a program has fixed endpoints);\n" "an empty batch returns [].\n" "Caches: a supplied building cache needs workers == 1; a frozen cache is shared by every worker\n" "(pass workers explicitly), and its DagCacheMiss reaches the caller unchanged (the lowest failing\n" @@ -199,7 +216,7 @@ void register_evaluators(py::module_& m) { const auto s = node_ids(sources, graph->num_nodes(), "sources"); const auto d = node_ids(destinations, graph->num_nodes(), "destinations"); const auto w = workers_of(workers, true, static_cast(o.cache)); - const QueryOptions c {o.config, o.elig.get(), o.cache.get(), o.outputs}; + const QueryOptions c = o.native(); return detail::frozen_call(c.cache, [&](detail::FrozenTally& tally) { SensitivityResult r; { @@ -210,16 +227,17 @@ void register_evaluators(py::module_& m) { }); }, py::arg("graph"), py::arg("sources"), py::arg("destinations"), py::arg("opts"), py::arg("workers") = py::none(), - "The baseline capacity() and one SensitivityEntry per candidate edge. Candidates: with Global and\n" - "the optimized origin, the edges that carry flow in the baseline (removing any other edge cannot\n" + "The baseline capacity() and one SensitivityEntry per candidate edge. Candidates: with unrestricted\n" + "Global and the optimized origin, the edges that carry flow in the baseline (removing any other edge cannot\n" "lower a maximum flow); otherwise every allowed edge, whatever its capacity (an edge of capacity 0\n" "can carry a route, so deleting it can change the result, and with the equal origin a deletion that\n" "removes a source from the roster can raise the total: a negative loss). loss = baseline.placed\n" "minus the placed of capacity() without the edge, in signed units, never thresholded. Two\n" - "shortcuts give exactly that value: optimized Global repairs a copy of the baseline's solve\n" - "instead of solving again, and CostOnly\n" + "shortcuts give exactly that value: unrestricted optimized Global repairs a copy of the baseline's\n" + "solve instead of solving again, and CostOnly\n" "gives loss 0 without placing to an edge outside the static shortest-path support reachable from\n" - "the roster sources (no route can use it). workers as batch_capacity\n" + "the roster sources (no route can use it). Global with a support solves every deletion afresh; Pinned\n" + "replays the same program under each deletion. workers as batch_capacity\n" "(NGRAPH_CORE_SENSITIVITY_THREADS). Only CostOnly reads the cache, and each placed deletion uses a\n" "new Eligibility uid, so a frozen cache raises DagCacheMiss there.\n" "A failed deletion fails the call (the lowest failing candidate's exception, no partial result); a\n" diff --git a/bindings/python/flow_ledger.cpp b/bindings/python/flow_ledger.cpp index cbfb0ec..1db6a3a 100644 --- a/bindings/python/flow_ledger.cpp +++ b/bindings/python/flow_ledger.cpp @@ -12,6 +12,7 @@ #if NETGRAPH_CORE_PRIVATE_HOOKS #include "netgraph/core/detail/ledger_access.hpp" #endif +#include "publication.hpp" #include "registration.hpp" namespace py = pybind11; @@ -37,7 +38,7 @@ void register_flow_ledger(py::module_& m) { "physical baseline goes through to_units first); None: the capacities. ValueError otherwise.") .def("uid", &FlowLedger::uid, "process-unique ledger uid (the first half of every FlowId)") .def( - "graph", [](const FlowLedger& fg) { return std::const_pointer_cast(fg.graph()); }, + "graph", [](const FlowLedger& fg) { return typed_shared(fg.graph()); }, "the ledger's graph") .def( "capacity_units", diff --git a/bindings/python/flow_policy.cpp b/bindings/python/flow_policy.cpp index bc5346a..435fb87 100644 --- a/bindings/python/flow_policy.cpp +++ b/bindings/python/flow_policy.cpp @@ -13,7 +13,9 @@ #include "netgraph/core/dag_cache.hpp" #include "netgraph/core/eligibility.hpp" #include "netgraph/core/flow_ledger.hpp" +#include "netgraph/core/detail/policy_engine.hpp" #include "netgraph/core/flow_policy.hpp" +#include "netgraph/core/program.hpp" #include "integers.hpp" #include "publication.hpp" #include "values.hpp" @@ -35,24 +37,19 @@ namespace netgraph::core::bindings { namespace { -// A request: an integer number of units in [0, 2^62) or +inf (float('inf')); nullopt is +inf. -// Any other value (a bool, another float, a non-integer, an integer out of range) raises the one -// ValueError; an exception of the object's own __index__ propagates as raised. +// A request or a full offer: units in [0, 2^62) or +inf (float('inf')); nullopt is +inf. std::optional request_units(const py::object& volume) { - const char* const text = "offer must be an integer in [0, 2^62) or permitted +inf"; - if (py::isinstance(volume) || py::isinstance(volume, py::module_::import("numpy").attr("floating"))) { - const double x = PyFloat_AsDouble(volume.ptr()); - if (x == -1.0 && PyErr_Occurred() != nullptr) throw py::error_already_set(); - if (std::isinf(x) && x > 0) return std::nullopt; - throw py::value_error(text); + return units_or_inf(volume, "offer must be an integer in [0, 2^62) or permitted +inf"); +} + +// A black-hole set argument: an Eligibility or None (its graph is checked by the call). +std::shared_ptr eligibility_or_none(const py::object& obj, const char* name) { + if (obj.is_none()) return nullptr; + if (!py::isinstance(obj)) { + throw py::type_error(std::string(name) + " must be an Eligibility or None (got " + + std::string(py::str(py::type::of(obj).attr("__name__"))) + ")"); } - if (is_bool(volume) || !PyIndex_Check(volume.ptr())) throw py::value_error(text); - const py::object idx = py::reinterpret_steal(PyNumber_Index(volume.ptr())); - if (!idx) throw py::error_already_set(); - int overflow = 0; - const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); - if (overflow != 0 || v < 0 || v >= kDomainLimit) throw py::value_error(text); - return static_cast(v); + return obj.cast>(); } #if NETGRAPH_CORE_PRIVATE_HOOKS @@ -67,13 +64,15 @@ py::dict state_obj(const FlowPolicy& policy) { : std::holds_alternative(r) ? "Global" : "Pinned"; out["roster"] = pe.roster; - out["requested"] = counter_int(pe.requested); - out["infinite"] = pe.infinite; + out["requested"] = counter_int(pe.epoch.requested); + out["infinite"] = pe.epoch.infinite; out["placed_demand"] = policy.placed_demand(); py::dict cohorts; - for (std::size_t i = 0; i < pe.roster.size(); ++i) { + // Per roster source its flows (Pinned: per program entry, keyed by the entry identifier). + const bool pinned = std::holds_alternative(r); + for (std::size_t i = 0; i < pe.epoch.cohorts.size(); ++i) { py::list flows; - for (const auto& s : pe.cohorts[i]) { + for (const auto& s : pe.epoch.cohorts[i]) { const FlowRecord& rec = detail::LedgerAccess::live(pe.fg, s.id); py::dict f; f["flow_id"] = py::make_tuple(rec.flow_id.first, rec.flow_id.second); @@ -90,10 +89,10 @@ py::dict state_obj(const FlowPolicy& policy) { f["T"] = rec.delivered; f["delivered"] = rec.delivered; f["alloc"] = pairs_list(rec.edges); - f["bundle_index"] = s.bundle_index < 0 ? py::object(py::none()) : py::object(py::int_(s.bundle_index)); + f["entry"] = s.entry < 0 ? py::object(py::none()) : py::object(py::int_(s.entry)); flows.append(f); } - cohorts[py::int_(pe.roster[i])] = flows; + cohorts[py::int_(pinned ? static_cast(i) : static_cast(pe.roster[i]))] = flows; } out["cohorts"] = cohorts; return out; @@ -106,10 +105,11 @@ py::dict state_obj(const FlowPolicy& policy) { void register_flow_policy(py::module_& m) { [[maybe_unused]] auto flow_policy = py::class_( m, "FlowPolicy", - "The placement engine for one demand, bound to its ledger at construction. place(volume, outputs)\n" - "is all-or-nothing: a failed call raises and leaves the ledger and the policy as they were (with\n" - "the two limits in the module docstring). remove() takes every flow of the policy back out and\n" - "starts a new epoch (the request total starts again from 0). A policy dropped without remove()\n" + "The placement engine for one demand, bound to its ledger at construction. Every call (place,\n" + "evaluate, replace, forward) is all-or-nothing: a failed call raises and leaves the ledger and the\n" + "policy as they were (with the two limits in the module docstring). remove() takes every flow of the\n" + "policy back out, clears its program and starts a new epoch (the request total starts again from 0);\n" + "replace and forward start one too. A policy dropped without remove()\n" "leaves its records in the ledger as orphans: readable, never changed again, cleared by\n" "FlowLedger.reset(). sources and destinations are one NodeId or a sequence; the two sets must not\n" "overlap. ValueError for invalid endpoints, configurations and requests (non-integer node ids and\n" @@ -130,10 +130,15 @@ void register_flow_policy(py::module_& m) { py::arg("cache") = nullptr, "Bind a policy to ledger. elig (None: everything allowed) and cache (None: none; only CostOnly\n" "routing reads it, another model rejects it) belong to the ledger's graph; the policy keeps the\n" - "ledger, elig and cache alive. The roster (the sources that statically reach an allowed\n" - "destination, over allowed edges whatever their capacity) and, for Pinned, the usable bundles\n" - "are fixed here. Everything is validated before the policy binds, in this order: the endpoints,\n" - "elig's and cache's graph, the configuration (FlowPolicyConfig's order), Pinned's bundles.") + "ledger, elig and cache alive (a Pinned policy shares its program and black holes). The roster\n" + "(the sources that statically reach an allowed destination, over allowed edges whatever their\n" + "capacity; Pinned: the program's heads that reach an allowed destination over its basis under elig)\n" + "is fixed here. Everything is validated before the policy binds, in this order: the endpoints, the\n" + "graph of elig, the program, the support, the cache and the black holes (`foreign Eligibility:\n" + "built for another graph`, `program belongs to another graph`, `support belongs to another graph`,\n" + "`foreign DagCache: bound to another graph`, `black_holes belongs to another graph`), the\n" + "configuration (FlowPolicyConfig's order), then the pooled single-path rule and a Pinned program's\n" + "endpoints (`program endpoints do not match policy endpoints`).") .def( "place", [](FlowPolicy& p, const py::object& volume, const py::object& outputs) { @@ -148,17 +153,22 @@ void register_flow_policy(py::module_& m) { }, py::arg("volume"), py::arg("outputs") = py::none(), "Place volume (int units in [0, 2^62), or float('inf')) all or nothing -> PlacementResult.\n" - "Requests add up within an epoch (from construction or the last remove()); after float('inf') any\n" - "finite request is rejected, 0 included. A request of 0 places nothing and reports the current\n" - "state. CostOnly prepares its routes at the epoch's first positive request; LOSSLESS admits the\n" - "largest total in [admitted, admitted + volume] that the routes carry with no loss (a refused unit\n" - "is not offered again); LOSSY forwards the new round-robin injections (earlier drops are not\n" - "offered again). outputs (OutputOptions; None: none) requests edge_flows, residual, bottleneck and\n" - "min_cut. Everything is validated before any change; a failed call raises with the ledger and the\n" - "policy unchanged. A solve of the flow core (Global, CostOnly MAX_FLOW, or a MAX_FLOW flow) on a\n" - "network beyond its int32 numbering raises ValueError: more than INT32_MAX - 2 nodes, or more than\n" - "2^30 - 1 edges, sources and destinations together.") - .def("remove", &FlowPolicy::remove, "revert every flow of the policy, retire the ids, open a new epoch") + "Requests add up within an epoch (from construction, the last remove(), replace() or forward());\n" + "after float('inf') any finite request is rejected, 0 included. A request of 0 places nothing and\n" + "reports the current state. CostOnly prepares its program at the epoch's first positive request;\n" + "LOSSLESS admits the largest total in [admitted, admitted + volume] that the program carries with no\n" + "loss (a refused unit is not offered again); LOSSY forwards the new round-robin (or captured-weight)\n" + "injections, each head splitting its increment afresh (earlier drops are not offered again); a\n" + "controller re-solves admitted + volume. A LOSSY float('inf') is CostOnly's first-hop experiment;\n" + "Pinned raises `LOSSY forwarding requires a finite offer`. outputs (OutputOptions; None: none)\n" + "requests edge_flows, residual, bottleneck and min_cut. Everything is validated before any change; a\n" + "failed call raises with the ledger and the policy unchanged. A solve of the flow core (Global,\n" + "CostOnly MAX_FLOW, or a MAX_FLOW flow) on a network beyond its int32 numbering raises ValueError:\n" + "more than INT32_MAX - 2 nodes, or more than 2^30 - 1 edges, sources and destinations together. A\n" + "LOSSY forwarding whose losses wait on each other in a cycle raises ValueError when its rounds\n" + "alternate between two states or reach the round limit, RuntimeError when the result's check fails.") + .def("remove", &FlowPolicy::remove, + "revert every flow of the policy, retire the ids, clear the program, open a new epoch") .def("placed_demand", &FlowPolicy::placed_demand, "the sum of delivered over the policy's live records") .def("records", &FlowPolicy::records, "the policy's live records as snapshots in FlowId order") .def( @@ -166,9 +176,61 @@ void register_flow_policy(py::module_& m) { py::arg("flow_id"), "one of the policy's live records by FlowId (ValueError for a FlowId of another ledger or policy, a\n" "retired or an unknown id)") - .def("usable_bundles", &FlowPolicy::usable_bundles, - "Pinned: the bundles with a src -> dst walk over eligible edges, whatever their capacity (0 for\n" - "the other modes)") + .def( + "evaluate", + [](const FlowPolicy& p, const py::object& offer, const py::object& outputs) { + const auto v = request_units(offer); + const auto o = outputs_of(outputs); + auto [obj, slot] = new_object(); + *slot = p.evaluate(v, o); + return std::move(obj); + }, + py::arg("offer"), py::kw_only(), py::arg("outputs") = py::none(), + "A full, independent computation and forwarding of offer (int units or float('inf')) from the\n" + "policy's own released view (the residual plus its own carried load), as replace would do it ->\n" + "PlacementResult (the computed program, the flags replace would set, the outputs of the evaluated\n" + "state); publishes nothing, creates no record and leaves the epoch as it was. LOSSY requires a\n" + "finite offer.") + .def( + "replace", + [](FlowPolicy& p, const py::object& offer, const py::object& outputs) { + const auto v = request_units(offer); + const auto o = outputs_of(outputs); + auto [obj, slot] = new_object(); + *slot = p.replace(v, o); + return std::move(obj); + }, + py::arg("offer"), py::kw_only(), py::arg("outputs") = py::none(), + "Recompute from the policy's own released view and forward the full offer, published atomically ->\n" + "PlacementResult: the old records are retired (their ids never live again), new ones created, and a\n" + "new epoch starts at this offer (delivery may go down: delivery_delta). CostOnly prepares its routes\n" + "again; a controller re-solves; Pinned forwards its program. LOSSY requires a finite offer.") + .def( + "forward", + [](FlowPolicy& p, const py::object& offer, const py::object& black_holes, const py::object& outputs) { + // The operation and the installed program come before the offer (the call's order). + detail::check_forward_operation(detail::PolicyAccess::engine(p)); + const auto v = request_units(offer); + const auto bh = eligibility_or_none(black_holes, "black_holes"); + const auto o = outputs_of(outputs); + auto [obj, slot] = new_object(); + *slot = p.forward(v, bh.get(), o); + return std::move(obj); + }, + py::arg("offer"), py::kw_only(), py::arg("black_holes") = py::none(), py::arg("outputs") = py::none(), + "Forward a full new offer over the installed program, with no route computation, on the released\n" + "view -> PlacementResult; a new epoch like replace, the program kept (no flag). LOSSLESS admits the\n" + "program's lossless bound up to the offer; LOSSY sends the offer. black_holes (an Eligibility of the\n" + "graph): the nodes and edges it excludes are black holes for this call (stale forwarding: traffic\n" + "reaching one is dropped there; a black-holed source loses its share). In this order: Pinned raises\n" + "`Pinned forwards with replace`; no installed program `forward requires an installed program`\n" + "(also CapacityAware); the offer; LOSSY +inf `LOSSY forwarding requires a finite offer`; black_holes\n" + "of another graph `black_holes belongs to another graph`.") + .def_property_readonly( + "program", + [](const FlowPolicy& p) { return optional_shared(p.program()); }, + "the installed ForwardingProgram; None before the first preparation, after remove() and for\n" + "CapacityAware") .def_property_readonly("config", &FlowPolicy::config, "the configuration as validated at construction, its absent origin and selection\n" "resolved to the model's defaults"); diff --git a/bindings/python/flow_record.cpp b/bindings/python/flow_record.cpp index 4a29b47..39f6bbb 100644 --- a/bindings/python/flow_record.cpp +++ b/bindings/python/flow_record.cpp @@ -9,6 +9,7 @@ #include "netgraph/core/flow_record.hpp" #include "netgraph/core/pred_dag.hpp" #include "values.hpp" +#include "publication.hpp" #include "registration.hpp" namespace py = pybind11; @@ -25,7 +26,8 @@ void register_flow_record(py::module_& m) { py::class_( m, "FlowRecord", "One flow of a ledger, as a snapshot: flow_id (ledger uid, id), owner (the policy's id),\n" - "sources, destinations, admission, bundle (PredDAG: the flow's route),\n" + "sources, destinations, admission, entry (a Pinned policy's program entry, else None), bundle\n" + "(PredDAG: the flow's route),\n" "route_cost (its minimum walk cost; None when empty), offered (Lossy only, else None),\n" "delivered, edges [(EdgeId, units)] and drops [(EdgeId, units)] (cumulative, ascending\n" "EdgeId). offered and the drops units are exact Python ints (they may exceed 64 bits).") @@ -36,8 +38,11 @@ void register_flow_record(py::module_& m) { .def_readonly("sources", &FlowRecord::sources, "the flow's source node ids, ascending") .def_readonly("destinations", &FlowRecord::destinations, "the flow's destination node ids, ascending") .def_readonly("admission", &FlowRecord::admission, "LOSSLESS or LOSSY") + .def_readonly("entry", &FlowRecord::entry, + "the program entry the record carries (a Pinned policy: the entry identifier); None for the\n" + "records kept per roster source (CostOnly, Global) or per flow (CapacityAware)") .def_property_readonly( - "bundle", [](const FlowRecord& r) { return std::const_pointer_cast(r.bundle); }, + "bundle", [](const FlowRecord& r) { return typed_shared(r.bundle); }, "the flow's route (an immutable PredDAG shared with the ledger)") .def_property_readonly( "route_cost", [](const FlowRecord& r) { return cost_or_none(r.route_cost); }, diff --git a/bindings/python/hooks.cpp b/bindings/python/hooks.cpp index ce81af1..286bd40 100644 --- a/bindings/python/hooks.cpp +++ b/bindings/python/hooks.cpp @@ -195,13 +195,10 @@ void register_private_hooks(py::module_& m) { const auto t = integer_value(total, 0, kDomainLimit - 1, "total"); const auto w = wide_integers(weights, "weights"); if (w.size() == 0) throw py::value_error("highest averages over no member"); - std::uint64_t sum = 0; for (std::size_t i = 0; i < w.size(); ++i) { if (!w.in(i, 1, kDomainLimit - 1)) { throw py::value_error("weights[" + std::to_string(i) + "] = " + w.text(i) + " is outside [1, 2^62)"); } - sum += static_cast(w.value[i]); - if (sum >= static_cast(kDomainLimit)) throw py::value_error("the weights sum to 2^62 or more"); } const auto wv = w.narrow(); std::vector out(wv.size()); diff --git a/bindings/python/module.cpp b/bindings/python/module.cpp index 394f3a5..fa608a2 100644 --- a/bindings/python/module.cpp +++ b/bindings/python/module.cpp @@ -1,7 +1,8 @@ /* Pybind11 module `_netgraph_core`: the graph on integer units with Eligibility and the unit conversions, the route structures (PredDAG, Path), the selection and placement axes, the - ledger with its records, the policy engine with its configuration and results, the DagCache, + ledger with its records, the forwarding programs, the policy engine with its configuration + and results, the DagCache, the evaluators (capacity, batch_capacity, sensitivity) and the public search (spf, ksp, resolve_to_paths); and one private entry: the flow core's _place_global_units. A build with the private hooks (CMake NETGRAPH_CORE_PRIVATE_HOOKS: the editable development @@ -30,9 +31,9 @@ using namespace netgraph::core; PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { m.doc() = - "NetGraph-Core: the graph on integer units, the route structures, the integer ledger, the policy\n" - "engine FlowPolicy, the DagCache, the evaluators (capacity, batch_capacity, sensitivity) and the\n" - "searches (spf, ksp, resolve_to_paths).\n" + "NetGraph-Core: the graph on integer units, the route structures, the integer ledger, the forwarding\n" + "programs, the policy engine FlowPolicy, the DagCache, the evaluators (capacity, batch_capacity,\n" + "sensitivity) and the searches (spf, ksp, resolve_to_paths).\n" "Every public call either completes or raises and leaves Core state as it was, with two limits:\n" "(1) pybind11 does not check every allocation when it constructs a bound object from Python, or\n" "converts an attribute or a returned value into a new Python object outside the library's checked\n" @@ -51,6 +52,7 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { bindings::register_path(m); bindings::register_flow_record(m); bindings::register_flow_ledger(m); + bindings::register_program(m); bindings::register_routing(m); bindings::register_policy_config(m); bindings::register_placement_result(m); diff --git a/bindings/python/placement_result.cpp b/bindings/python/placement_result.cpp index b86e7c7..04c42c1 100644 --- a/bindings/python/placement_result.cpp +++ b/bindings/python/placement_result.cpp @@ -1,14 +1,17 @@ -// Termination and PlacementResult: the outcome of one placement call. +// Termination, SourceFlow, TunnelFlow and PlacementResult: the outcome of one policy call. #include #include #include #include +#include #include #include #include "netgraph/core/flow_policy.hpp" +#include "netgraph/core/program.hpp" #include "values.hpp" +#include "publication.hpp" #include "registration.hpp" namespace py = pybind11; @@ -78,27 +81,49 @@ void register_placement_result(py::module_& m) { return "SourceFlow(source=" + std::to_string(r.source) + ", delivered=" + std::to_string(r.delivered) + ")"; }); + py::class_(m, "TunnelFlow", + "One program tunnel's forwarding in the epoch (read-only): index (its entry identifier) and\n" + "head, status (UP, FAILED, BLACKHOLED: TunnelStatus), assigned (its share of the injections:\n" + "LOSSY the shares sent to it, LOSSLESS what it carries), delivered and dropped (its losses on\n" + "links). Exact ints (assigned and dropped may exceed 64 bits).") + .def_readonly("index", &TunnelFlow::index, "the tunnel's entry identifier") + .def_readonly("head", &TunnelFlow::head, "the tunnel's head") + .def_readonly("status", &TunnelFlow::status, "UP, FAILED or BLACKHOLED in this forwarding") + .def_property_readonly( + "assigned", [](const TunnelFlow& r) { return counter_int(r.assigned); }, + "its share of the injections in the epoch (LOSSY: sent to it; LOSSLESS: what it carries)") + .def_readonly("delivered", &TunnelFlow::delivered, "the units it delivers") + .def_property_readonly( + "dropped", [](const TunnelFlow& r) { return counter_int(r.dropped); }, "its units dropped on links") + .def("__repr__", [](const TunnelFlow& r) { + return "TunnelFlow(index=" + std::to_string(r.index) + ", delivered=" + std::to_string(r.delivered) + ")"; + }); + py::class_( m, "PlacementResult", - "The result of one call. This call: placed (units delivered by the call), remaining (request -\n" - "placed; float('inf') for an infinite request), delivery_delta (new minus old delivery: placed for a\n" - "placement), call_drops [(EdgeId, units)], call_source_loss, termination, routes_changed and\n" - "weights_changed. The demand's state after the call (totals of the epoch): requested (float('inf')\n" - "after an infinite request), offered (LOSSY: the traffic sent; None when LOSSLESS), admitted,\n" - "delivered, unadmitted (LOSSLESS: requested - delivered, None after an infinite request; LOSSY: 0),\n" - "source_loss, drops [(EdgeId, units)], by_source (one SourceFlow per normalized input source,\n" - "ascending NodeId), total_cost (controllers: Global and CostOnly MAX_FLOW; else None) and\n" - "cost_distribution (Global with the optimized origin only). LOSSY: offered = source_loss +\n" - "sum(drops) + delivered. The rows sum to the totals, except for LOSSY with an empty roster, where the\n" - "whole offer is the demand's source loss and every row is zero. Optional outputs, None unless\n" - "requested: edge_flows and residual (int64[E]), bottleneck, min_cut. Amounts that accumulate are\n" - "exact ints (they may exceed 64 bits).") + "The result of one call. This call: placed (units delivered by the call; replace, forward and\n" + "evaluate: the full new delivery), remaining (request - placed; float('inf') for an infinite\n" + "request), delivery_delta (new minus old delivery, may be negative), call_drops [(EdgeId, units)],\n" + "call_source_loss, termination, routes_changed and weights_changed. The demand's state after the call\n" + "(totals of the epoch): program (the installed ForwardingProgram; evaluate: the computed one; None\n" + "before the first preparation and for CapacityAware), requested (float('inf') after an infinite\n" + "request), offered (LOSSY: the traffic sent; None when LOSSLESS), admitted, delivered, unadmitted\n" + "(LOSSLESS: requested - delivered, None after an infinite request; LOSSY: 0), source_loss, drops\n" + "[(EdgeId, units)], by_source (one SourceFlow per normalized input source, ascending NodeId),\n" + "by_tunnel (one TunnelFlow per program tunnel, ascending index; an alternative view, never added to\n" + "by_source), total_cost (controllers: Global and CostOnly MAX_FLOW; else None) and cost_distribution\n" + "(unrestricted Global with the optimized origin only). LOSSY: offered = source_loss + sum(drops) +\n" + "delivered. The rows sum to the totals, except for LOSSY with an empty roster, where the whole offer\n" + "is the demand's source loss and every row is zero. Optional outputs, None unless requested:\n" + "edge_flows and residual (int64[E]), bottleneck, min_cut (they describe the same state; evaluate: the\n" + "evaluated one). Amounts that accumulate are exact ints (they may exceed 64 bits).") .def_readonly("placed", &PlacementResult::placed, "the units placed (delivered) by this call") .def_property_readonly( "remaining", [](const PlacementResult& r) { return inf_or(r.remaining); }, "the request minus placed, in units (an amount, not a status); float('inf') for an infinite request") .def_readonly("delivery_delta", &PlacementResult::delivery_delta, - "the delivery after the call minus before it (placed, for a placement)") + "the delivery after the call minus before it (placed for a placement; may be negative for a\n" + "full-offer call)") .def_property_readonly( "call_drops", [](const PlacementResult& r) { return pairs_list(r.call_drops); }, "this call's drops on links [(EdgeId, units)], ascending EdgeId (empty unless LOSSY)") @@ -106,11 +131,20 @@ void register_placement_result(py::module_& m) { "this call's offered units lost at sources without a usable route (LOSSY)") .def_readonly("termination", &PlacementResult::termination, "the call's outcome (Termination)") .def_readonly("routes_changed", &PlacementResult::routes_changed, - "True when this call committed a route change: routes prepared or a flow created (also at\n" - "zero delivery), rerouted or added, or a change in the edges a Global source's share uses; a\n" - "candidate equal to the current route is not a change") + "True when the call's program differs from the installed one in its ordered heads, paths, split\n" + "tables or duplicates (no program counts as the empty program; two programs without an entry\n" + "are equal); CapacityAware (no program): a flow was created (also at zero delivery), rerouted or\n" + "added. An offer-only change (forward, Pinned, CostOnly increments) and an identical replace set\n" + "nothing") .def_readonly("weights_changed", &PlacementResult::weights_changed, - "True when this call committed new weights for a rerouted WEIGHTED flow") + "True when the call's program differs from the installed one in its injection (source weights)\n" + "or any entry or split-table weight (a controller's re-solve that changes a path's amount);\n" + "CapacityAware: a rerouted WEIGHTED flow captured new weights") + .def_property_readonly( + "program", + [](const PlacementResult& r) { return optional_shared(r.program); }, + "the installed ForwardingProgram after the call (evaluate: the computed one); None before the first\n" + "preparation and for CapacityAware") .def_property_readonly( "requested", [](const PlacementResult& r) -> py::object { @@ -136,14 +170,17 @@ void register_placement_result(py::module_& m) { "drops", [](const PlacementResult& r) { return counter_pairs(r.drops); }, "the epoch's drops on links [(EdgeId, units)], ascending EdgeId (empty unless LOSSY)") .def_property_readonly( - "by_source", [](const PlacementResult& r) { return py::tuple(py::cast(r.by_source)); }, + "by_source", [](const PlacementResult& r) { return tuple_of(r.by_source); }, "one SourceFlow per normalized input source, ascending NodeId (zero rows included)") + .def_property_readonly( + "by_tunnel", [](const PlacementResult& r) { return tuple_of(r.by_tunnel); }, + "one TunnelFlow per program tunnel, ascending index (empty without tunnels)") .def_property_readonly( "total_cost", [](const PlacementResult& r) { return counter_or_none(r.total_cost); }, "controllers (Global, CostOnly MAX_FLOW): the exact sum of cost * flow over the policy's\n" "allocation; None for the other models") .def_readonly("cost_distribution", &PlacementResult::cost_distribution, - "Global with the optimized origin: the marginal cost curve [(cost, units)] of the policy's\n" + "unrestricted Global with the optimized origin: the marginal cost curve [(cost, units)] of the policy's\n" "cumulative flow (a zero call reports it unchanged; None before the epoch's first positive\n" "call); in ascending cost, delivering `units` more raised the minimum total flow cost by `cost`\n" "per unit (more delivery can reroute earlier flow, so these are not the costs of the final\n" @@ -165,12 +202,12 @@ void register_placement_result(py::module_& m) { "if requested: the ledger's saturation report after the call (FlowLedger.bottleneck of the\n" "policy's sources and Eligibility), else None") .def_readonly("min_cut", &PlacementResult::min_cut, - "if requested (OutputOptions(min_cut=True)), Global with the optimized origin, when the solve\n" + "if requested (OutputOptions(min_cut=True)), unrestricted Global with the optimized origin, when the solve\n" "reached the maximum flow: the minimum cut closest to the sources, every allowed edge leaving\n" "the nodes the roster sources reach in the residual network (free capacity plus the policy's\n" "own allocation), an edge with nothing free (capacity 0, or held by others) included,\n" "ascending EdgeId; [] for an empty roster. None otherwise (another model, the equal origin, a\n" - "call below the maximum, a zero call)") + "support, a call below the maximum, a zero call, forward)") .def("__repr__", [](const PlacementResult& r) { return "PlacementResult(placed=" + std::to_string(r.placed) + ", termination=" + std::string(py::str(py::cast(r.termination).attr("name"))) + ")"; diff --git a/bindings/python/policy_config.cpp b/bindings/python/policy_config.cpp index d76599c..4141337 100644 --- a/bindings/python/policy_config.cpp +++ b/bindings/python/policy_config.cpp @@ -1,13 +1,17 @@ // FlowPolicyConfig and OutputOptions: the configuration of a placement. #include +#include +#include #include #include #include #include +#include #include "netgraph/core/flow_policy.hpp" #include "netgraph/core/options.hpp" +#include "integers.hpp" #include "registration.hpp" namespace py = pybind11; @@ -35,31 +39,55 @@ void register_policy_config(py::module_& m) { py::class_( m, "FlowPolicyConfig", "One demand's settings: routing (CostOnly, CapacityAware, Global or Pinned), placement\n" - "(FlowPlacement: required for CostOnly, CapacityAware and Pinned; Global takes none), admission\n" - "(LOSSLESS by default), selection (PathSelection; None: PathSelection(); Global takes none) and\n" - "origin (Origin; None: the model's default, EQUAL for CostOnly EQUAL_BALANCED and WEIGHTED and for\n" - "CapacityAware, OPTIMIZED for CostOnly MAX_FLOW and Global; Pinned takes none). A field that does\n" - "not apply to the model must stay None. The combination is checked when a policy or an evaluator\n" - "uses the configuration (ValueError): the enumeration values, then the model's row (placement,\n" - "origin, admission, selection), then a DagCache (only CostOnly reads one), then CapacityAware's\n" - "parameters, then the pooled single-path rule (CostOnly with several input sources rejects\n" - "multipath=False with PREFER_HIGHER_PRIORITY).") + "(FlowPlacement: required for CostOnly and CapacityAware; Global and Pinned take none), admission\n" + "(LOSSLESS by default), selection (PathSelection; None: PathSelection(); Global and Pinned take\n" + "none), origin (Origin; None: the model's default, EQUAL for CostOnly EQUAL_BALANCED and WEIGHTED and\n" + "for CapacityAware, OPTIMIZED for CostOnly MAX_FLOW and Global; Pinned takes none, its program has\n" + "it), weights (WeightBasis, CostOnly WEIGHTED only; None: CAPACITY) and edge_weights (one integer per\n" + "edge, given exactly when weights=EXPLICIT; one array shared by every policy built from this\n" + "configuration). A field that does not apply to the model must stay None. The combination is checked\n" + "when a policy or an evaluator uses the configuration (ValueError): the enumeration values, then the\n" + "model's row (placement, origin, admission, selection, weights with edge_weights), then a DagCache\n" + "(only CostOnly reads one), then CapacityAware's parameters, then edge_weights' length and entries,\n" + "then the pooled single-path rule (CostOnly with several input sources rejects multipath=False with\n" + "PREFER_HIGHER_PRIORITY).") .def(py::init([](const py::object& routing, std::optional placement, Admission admission, - std::optional selection, std::optional origin) { - return FlowPolicyConfig {routing_of(routing), placement, admission, selection, origin}; + std::optional selection, std::optional origin, + std::optional weights, const py::object& edge_weights) { + FlowPolicyConfig cfg {routing_of(routing), placement, admission, selection, origin, weights, {}}; + if (!edge_weights.is_none()) { + // Converted once and shared: every policy copied from this configuration reads the same + // array. An entry beyond int64 is outside the domain here; the policy checks the rest. + (void)sequence_length(edge_weights, "edge_weights"); + const auto w = wide_integers(edge_weights, "edge_weights"); + for (std::size_t e = 0; e < w.size(); ++e) { + if (w.sign(e) != 0) throw py::value_error("edge_weights[" + std::to_string(e) + "] must be an integer in [0, 2^62)"); + } + cfg.edge_weights = std::make_shared>(w.narrow()); + } + return cfg; }), py::kw_only(), py::arg("routing"), py::arg("placement") = py::none(), py::arg_v("admission", Admission::Lossless, "Admission.LOSSLESS"), py::arg("selection") = py::none(), - py::arg("origin") = py::none()) + py::arg("origin") = py::none(), py::arg("weights") = py::none(), py::arg("edge_weights") = py::none()) .def_property_readonly( "routing", [](const FlowPolicyConfig& c) { return routing_obj(c.routing); }, "the routing mode: CostOnly, CapacityAware, Global or Pinned") - .def_readonly("placement", &FlowPolicyConfig::placement, "the FlowPlacement, or None (Global)") + .def_readonly("placement", &FlowPolicyConfig::placement, "the FlowPlacement, or None (Global, Pinned)") .def_readonly("admission", &FlowPolicyConfig::admission, "LOSSLESS or LOSSY") .def_readonly("selection", &FlowPolicyConfig::selection, - "the PathSelection, or None (a policy's config: PathSelection() resolved; Global: None)") + "the PathSelection, or None (a policy's config: PathSelection() resolved; Global, Pinned: None)") .def_readonly("origin", &FlowPolicyConfig::origin, "the Origin, or None (a policy's config: the model's default resolved; Pinned: None)") + .def_readonly("weights", &FlowPolicyConfig::weights, + "the WeightBasis, or None (a policy's config: CAPACITY resolved for CostOnly WEIGHTED)") + .def_property_readonly( + "edge_weights", + [](const FlowPolicyConfig& c) -> py::object { + if (!c.edge_weights) return py::none(); + return py::tuple(py::cast(*c.edge_weights)); + }, + "the explicit weights (one per edge, a tuple), or None") .def("__repr__", [](const FlowPolicyConfig& c) { return "FlowPolicyConfig(routing=" + std::string(py::repr(routing_obj(c.routing))) + ")"; }); diff --git a/bindings/python/program.cpp b/bindings/python/program.cpp new file mode 100644 index 0000000..cd219c0 --- /dev/null +++ b/bindings/python/program.cpp @@ -0,0 +1,200 @@ +// Forwarding programs: TunnelStatus, Tunnel, Route and ForwardingProgram with from_routes. +#include +#include +#include + +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/endpoints.hpp" +#include "netgraph/core/detail/program_data.hpp" +#include "netgraph/core/graph.hpp" +#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/program.hpp" +#include "integers.hpp" +#include "values.hpp" +#include "publication.hpp" +#include "registration.hpp" + +namespace py = pybind11; + +namespace netgraph::core::bindings { + +namespace { + +py::typing::Union bundle_obj(const Route& r) { + py::object out = std::holds_alternative>(r.bundle) + ? shared_object(std::get>(r.bundle)) + : shared_object(std::get>(r.bundle)); + return py::reinterpret_steal>(out.release()); +} + +py::tuple ids_tuple(std::span v) { + py::tuple out(v.size()); + for (std::size_t i = 0; i < v.size(); ++i) out[i] = py::int_(v[i]); + return out; +} + +// A per-edge integer argument of from_routes read without narrowing (its type defects raise +// here); its values are checked later, in the order of the call's validation. +std::optional wide_or_none(const py::object& obj, const char* name) { + if (obj.is_none()) return std::nullopt; + (void)sequence_length(obj, name); + return wide_integers(obj, name); +} + +} // namespace + +void register_program(py::module_& m) { + py::enum_(m, "TunnelStatus", + "A tunnel's state in one forwarding (a by_tunnel row). UP; FAILED: its path touches a node or\n" + "an edge the forwarding policy's Eligibility excludes, so it gets nothing and its head splits over\n" + "its other entries (replay); BLACKHOLED: up, but its path reaches a black hole of stale\n" + "forwarding, where its traffic is dropped. A program's own tunnels are all up.") + .value("UP", TunnelStatus::Up) + .value("FAILED", TunnelStatus::Failed) + .value("BLACKHOLED", TunnelStatus::Blackholed); + + py::class_(m, "Tunnel", + "One tunnel (a path entry) of a ForwardingProgram, read-only. index: the entry identifier\n" + "(Global and CostOnly MAX_FLOW: the path's position in the decomposition order; supplied routes:\n" + "the route's position in the list), never a position in program.tunnels; head; local_index: its\n" + "position among the head's entries of both kinds; destination: where its path ends; edges: its\n" + "EdgeIds in path order; route_cost: the sum of their costs; weight: its integer share among the\n" + "head's entries (a controller path: its solved amount).") + .def_readonly("index", &Tunnel::index) + .def_readonly("head", &Tunnel::head) + .def_readonly("local_index", &Tunnel::local_index) + .def_readonly("destination", &Tunnel::destination) + .def_property_readonly( + "edges", [](const Tunnel& t) { return py::tuple(py::cast(t.edges)); }, "the path's EdgeIds in path order") + .def_readonly("route_cost", &Tunnel::route_cost) + .def_readonly("weight", &Tunnel::weight) + .def("__repr__", [](const Tunnel& t) { + return "Tunnel(index=" + std::to_string(t.index) + ", head=" + std::to_string(t.head) + + ", weight=" + std::to_string(t.weight) + ")"; + }); + + py::class_(m, "Route", + "A supplied route for ForwardingProgram.from_routes: a Path with one edge per hop (a tunnel) or a\n" + "PredDAG (a split route) starting at `head`; weight is its integer share among the head's routes\n" + "(0 allowed: it carries nothing). from_routes validates it.") + .def(py::init([](const py::object& head, const py::object& bundle, const py::object& weight) { + Route r; + r.head = static_cast(integer_value(head, std::numeric_limits::min(), + std::numeric_limits::max(), "head")); + if (py::isinstance(bundle)) { + r.bundle = std::shared_ptr(bundle.cast>()); + } else if (py::isinstance(bundle)) { + r.bundle = std::shared_ptr(bundle.cast>()); + } else { + throw py::type_error("Route bundle must be a Path or a PredDAG (got " + + std::string(py::str(py::type::of(bundle).attr("__name__"))) + ")"); + } + r.weight = integer_value(weight, std::numeric_limits::min(), std::numeric_limits::max(), + "weight"); + return r; + }), + py::arg("head"), py::arg("bundle"), py::kw_only(), py::arg("weight") = 1, + "Route(head, bundle, *, weight=1): head a NodeId, bundle a Path or a PredDAG (TypeError otherwise),\n" + "weight an integer (checked in [0, 2^62) by from_routes).") + .def_readonly("head", &Route::head, "the route's head (a source of the program)") + .def_property_readonly("bundle", &bundle_obj, "the Path (a tunnel) or the PredDAG (a split route)") + .def_readonly("weight", &Route::weight, "the route's integer share among the head's routes") + .def("__repr__", [](const Route& r) { + return "Route(head=" + std::to_string(r.head) + ", weight=" + std::to_string(r.weight) + ")"; + }); + + py::class_>( + m, "ForwardingProgram", + "An immutable value: one demand's routes and integer weights. sources and destinations (the normalized\n" + "sets); tunnels: the path entries in ascending index (split routes are not listed); source_weights: the\n" + "captured source supplies ((source, weight) for every roster source, ascending) of the optimized\n" + "controllers, None for equal sources (round robin over the roster). Each head splits its share by\n" + "highest averages over its entries' weights; identical routes are never merged. CostOnly and Global\n" + "produce one (FlowPolicy.program, PlacementResult.program; CapacityAware has none); from_routes builds\n" + "one from given routes; Pinned forwards one. No public constructor.") + .def_property_readonly( + "sources", [](const ForwardingProgram& p) { return ids_tuple(p.sources()); }, "the source set, ascending") + .def_property_readonly( + "destinations", [](const ForwardingProgram& p) { return ids_tuple(p.destinations()); }, + "the destination set, ascending") + .def_property_readonly( + "tunnels", + [](const ForwardingProgram& p) { + const auto t = p.tunnels(); + return tuple_of(std::vector(t.begin(), t.end())); + }, + "the program's tunnels (Tunnel), ascending index") + .def_property_readonly( + "source_weights", + [](const ForwardingProgram& p) -> py::object { + const auto& w = p.source_weights(); + if (!w.has_value()) return py::none(); + py::tuple out(w->size()); + for (std::size_t i = 0; i < w->size(); ++i) out[i] = py::make_tuple((*w)[i].first, (*w)[i].second); + return out; + }, + "the captured source weights ((source, weight), ascending), or None for equal sources") + .def_static( + "from_routes", + [](const std::shared_ptr& graph, const py::object& sources, const py::object& destinations, + const py::object& routes, std::optional placement, std::optional weights, + const py::object& edge_weights, const py::object& residual) { + if (!graph) throw py::value_error("graph must be a Graph"); + // Conversion first (TypeError and integer type defects), then the validation order of + // from_routes; the values beyond int64 are checked here in that order. + if (not_a_sequence(routes)) throw py::type_error("routes must be a sequence of Route"); + std::vector rs; + for (const auto& item : py::reinterpret_borrow(routes)) { + if (!py::isinstance(item)) throw py::type_error("routes must be a sequence of Route"); + rs.push_back(item.cast()); + } + const auto ew = wide_or_none(edge_weights, "edge_weights"); + const auto rw = wide_or_none(residual, "residual"); + const auto n = graph->num_nodes(); + const auto s = detail::node_set(node_ids(sources, n, "sources"), n, "sources"); + const auto d = detail::node_set(node_ids(destinations, n, "destinations"), n, "destinations"); + detail::check_disjoint(s, d, "sources", "destinations"); + if (rs.empty()) throw py::value_error("routes must not be empty"); + bool any_dag = false; + for (const auto& r : rs) any_dag = any_dag || std::holds_alternative>(r.bundle); + detail::check_route_options(any_dag, placement, weights, ew.has_value(), rw.has_value()); + RouteOptions options; + options.placement = placement; + options.weights = weights; + const auto E = static_cast(graph->num_edges()); + if (ew.has_value()) { + if (ew->size() != E) throw py::value_error("edge_weights: expected " + std::to_string(E) + " entries"); + for (std::size_t e = 0; e < E; ++e) { + if (!ew->in(e, 0, kDomainLimit - 1)) { + throw py::value_error("edge_weights[" + std::to_string(e) + "] must be an integer in [0, 2^62)"); + } + } + options.edge_weights = ew->narrow(); + } + if (rw.has_value()) options.residual = edge_amounts(residual, *graph, "residual", "residual (units)").narrow(); + return typed_shared(ForwardingProgram::from_routes(*graph, s, d, rs, options)); + }, + py::arg("graph"), py::arg("sources"), py::arg("destinations"), py::arg("routes"), py::kw_only(), + py::arg("placement") = py::none(), py::arg("weights") = py::none(), py::arg("edge_weights") = py::none(), + py::arg("residual") = py::none(), + "Validate and freeze supplied routes -> ForwardingProgram (ValueError for the first failure, in this\n" + "order): the endpoint sets; `routes must not be empty`; when no route is a PredDAG, any option given\n" + "(` applies only to PredDAG routes`); placement MAX_FLOW\n" + "(`from_routes placement must be EQUAL_BALANCED or WEIGHTED`); weights only with placement=WEIGHTED,\n" + "EXPLICIT with edge_weights, RESIDUAL_SNAPSHOT with residual; edge_weights' length and entries in [0,\n" + "2^62) and residual's (one entry per edge in [0, capacity]); then each route in list order: its\n" + "bundle's graph, its head a source, a Path with one edge per hop that starts at the head, ends at a\n" + "destination and meets none before, a PredDAG with a walk from the head to a destination, its weight\n" + "in [0, 2^62). Order and duplicates are kept; a route of weight 0 is validated in full. placement\n" + "(None: EQUAL_BALANCED) is the interior split of the PredDAG routes; each split route is its own\n" + "split context (a router splits only that route's share). The roster is the sources with a route."); +} + +} // namespace netgraph::core::bindings diff --git a/bindings/python/publication.hpp b/bindings/python/publication.hpp index 4809b01..f847772 100644 --- a/bindings/python/publication.hpp +++ b/bindings/python/publication.hpp @@ -8,10 +8,12 @@ #include #include #include +#include #include #include #include +#include #include "netgraph/core/evaluators.hpp" #include "netgraph/core/flow_policy.hpp" @@ -78,6 +80,20 @@ py::object object_of(T value) { return std::move(obj); } +// A tuple of new Python objects of the bound class T, one per row (object_of each): a failed +// allocation raises and releases what was made (pybind11's cast of a vector of bound values +// allocates each object unchecked). +template +py::tuple tuple_of(const std::vector& rows) { + PyObject* raw = PyTuple_New(static_cast(rows.size())); + if (raw == nullptr) throw py::error_already_set(); + auto out = py::reinterpret_steal(raw); + for (std::size_t i = 0; i < rows.size(); ++i) { + PyTuple_SET_ITEM(out.ptr(), static_cast(i), object_of(rows[i]).release().ptr()); + } + return out; +} + // A new Python object of the bound class T (held by std::shared_ptr) owning `value`, through the // same checked allocation as new_object: for the values without a default constructor (PredDAG, // Path) that a search returns. A failure raises and releases everything made so far. @@ -86,4 +102,70 @@ py::object object_from(T value) { return emplace_object>(std::move(value)).first; } +// The Python object of a shared value of the bound class T (held by std::shared_ptr): None for a +// null pointer; the object already registered for it, if any (as pybind11's cast); else a new +// object made by emplace_object's steps with `holder` in place of a new value. pybind11's own +// cast of an existing holder marks the object as owner before it registers the value, so a +// failed registration deletes the value while the holder still owns it (a double free); here +// the object owns nothing until it holds its copy of the holder (a copy never allocates). +template +py::object shared_object(std::shared_ptr holder) { + if (!holder) return py::none(); + const py::detail::type_info* tinfo = py::detail::get_type_info(typeid(T), /*throw_if_missing=*/true); + if (tinfo->holder_enum_v != py::detail::holder_enum_t::std_shared_ptr) { + py::pybind11_fail("shared_object: the bound class is not held by std::shared_ptr"); + } + if (py::handle existing = py::detail::find_registered_python_instance(holder.get(), tinfo)) { + return py::reinterpret_steal(existing); + } + PyTypeObject* type = tinfo->type; + PyObject* raw = type->tp_alloc(type, 0); + if (raw == nullptr) throw py::error_already_set(); + auto obj = py::reinterpret_steal(raw); + auto* inst = reinterpret_cast(raw); + inst->allocate_layout(); + inst->owned = false; + py::detail::values_and_holders(inst).begin()->value_ptr() = holder.get(); + tinfo->init_instance(inst, &holder); + inst->owned = true; + return obj; +} + +template +py::object shared_object(std::shared_ptr holder) { + return shared_object(std::const_pointer_cast(std::move(holder))); +} + +// A py::object known to be a T, for signatures: pybind11 names it as T (the specialization of +// handle_type_name below), so a binding that returns shared_object's result keeps its type. +template +class Typed : public py::object { +public: + Typed() = default; + Typed(py::handle h, py::object::stolen_t) : py::object(h, py::object::stolen_t {}) {} + Typed(py::handle h, py::object::borrowed_t) : py::object(h, py::object::borrowed_t {}) {} + static bool check_(py::handle h) { return py::isinstance(h); } +}; + +// shared_object(holder) as a T (holder not null) or as T | None. +template +Typed> typed_shared(std::shared_ptr holder) { + return py::reinterpret_steal>>(shared_object(std::move(holder)).release()); +} +template +py::typing::Optional> optional_shared(std::shared_ptr holder) { + return py::reinterpret_steal>>(shared_object(std::move(holder)).release()); +} + +} // namespace netgraph::core::bindings + +namespace pybind11::detail { +template +struct handle_type_name> { + static constexpr auto name = make_caster::name; +}; +} // namespace pybind11::detail + +namespace netgraph::core::bindings { + } // namespace netgraph::core::bindings diff --git a/bindings/python/registration.hpp b/bindings/python/registration.hpp index 82020f2..2ec70fb 100644 --- a/bindings/python/registration.hpp +++ b/bindings/python/registration.hpp @@ -25,9 +25,10 @@ void register_pred_dag(pybind11::module_& m); // PredDAG void register_path(pybind11::module_& m); // Path void register_flow_record(pybind11::module_& m); // FlowRecord void register_flow_ledger(pybind11::module_& m); // FlowLedger +void register_program(pybind11::module_& m); // TunnelStatus, Tunnel, Route, ForwardingProgram void register_routing(pybind11::module_& m); // Absolute, Stretch, DiminishingReturns, the four routings void register_policy_config(pybind11::module_& m); // FlowPolicyConfig, OutputOptions -void register_placement_result(pybind11::module_& m); // Termination, PlacementResult +void register_placement_result(pybind11::module_& m); // Termination, SourceFlow, TunnelFlow, PlacementResult void register_dag_cache(pybind11::module_& m); // DagCacheStats, DagCacheMiss, DagCache void register_flow_policy(pybind11::module_& m); // FlowPolicy void register_evaluators(pybind11::module_& m); // capacity, batch_capacity, sensitivity and their types diff --git a/bindings/python/routing.cpp b/bindings/python/routing.cpp index 8c94c94..31594f0 100644 --- a/bindings/python/routing.cpp +++ b/bindings/python/routing.cpp @@ -1,5 +1,6 @@ // The routing modes of a policy (CostOnly, CapacityAware, Global, Pinned) and their parameters: -// the cost ceilings Absolute and Stretch, the DiminishingReturns guard. +// the cost ceilings Absolute and Stretch, the DiminishingReturns guard, Global's support and +// Pinned's program and black holes. #include #include #include @@ -13,8 +14,11 @@ #include "netgraph/core/flow_policy.hpp" #include "netgraph/core/options.hpp" +#include "netgraph/core/eligibility.hpp" #include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/program.hpp" #include "integers.hpp" +#include "publication.hpp" #include "registration.hpp" namespace py = pybind11; @@ -197,41 +201,63 @@ void register_routing(py::module_& m) { "Routing: an ideal central controller that sees the whole network. Every positive call re-solves\n" "the minimum-cost flow of what the policy already delivers plus this call's request\n" "(placed_demand() + volume; what an earlier call could not place is not requested again) over\n" - "the eligible graph, on the free capacity plus its own allocation (it may move its own traffic,\n" + "the eligible graph, or exactly over `support` (a PredDAG of the policy's graph, trimmed to the\n" + "walks from the sources to the allowed destinations under the Eligibility; every other edge\n" + "carries nothing), on the free capacity plus its own allocation (it may move its own traffic,\n" "never another's). It takes no placement and no selection. Origin OPTIMIZED (the default): the\n" "controller chooses how much enters at each source; EQUAL: every roster source sends its\n" - "round-robin share of the largest total whose shares all fit. A positive call on a network\n" - "beyond the flow core's int32 numbering raises ValueError (see FlowPolicy.place).") - .def(py::init<>(), "Global routing (no parameters)") - .def("__repr__", [](const Global&) { return std::string("Global()"); }); + "round-robin share of the largest total whose shares all fit. Its program is the solve cut into\n" + "paths per source, each a tunnel weighted by its amount. A positive call on a network beyond the\n" + "flow core's int32 numbering raises ValueError (see FlowPolicy.place).") + .def(py::init([](const py::object& support) { + Global gl; + if (!support.is_none()) { + if (!py::isinstance(support)) throw py::type_error("Global support must be a PredDAG or None"); + gl.support = support.cast>(); + } + return gl; + }), + py::kw_only(), py::arg("support") = py::none(), + "Global(*, support=None): support a PredDAG of the policy's graph (checked when a policy is built\n" + "with it: `support belongs to another graph`) or None for every eligible edge") + .def_property_readonly( + "support", + [](const Global& gl) { + return optional_shared(gl.support); + }, + "the supplied support (a PredDAG), or None") + .def("__repr__", [](const Global& gl) { return std::string(gl.support ? "Global(support=...)" : "Global()"); }); py::class_(m, "Pinned", - "Routing on routes the caller gives: one flow per usable bundle (a PredDAG with at least one\n" - "src -> dst walk over eligible edges, whatever their capacity), in the given order; one source\n" - "and one destination. A Path converts with to_dag(). The list is copied at construction.") - .def(py::init([](const py::object& bundles) { - if (not_a_sequence(bundles)) throw py::type_error("Pinned bundles must be a sequence of PredDAG"); + "Routing: forwarding over a given program, computing nothing (the program's endpoints must be\n" + "the policy's). The policy's Eligibility repairs failures: a tunnel touching an excluded element is\n" + "FAILED, a split route loses its excluded members, and the roster is rebuilt from the program's\n" + "basis (a head that no longer reaches a destination leaves the equal pool). black_holes: the nodes\n" + "and edges this Eligibility excludes are silent failures; the program is forwarded unchanged and\n" + "traffic reaching them is dropped there (stale forwarding; None: no black holes). One record per\n" + "program entry.") + .def(py::init([](const std::shared_ptr& program, const std::shared_ptr& black_holes) { + if (!program) throw py::type_error("Pinned program must be a ForwardingProgram"); Pinned p; - for (const auto& b : py::reinterpret_borrow(bundles)) { - if (!py::isinstance(b)) { - throw py::type_error("Pinned bundles must be PredDAG values (a Path converts with to_dag())"); - } - p.bundles.push_back(b.cast>()); - } + p.program = program; + p.black_holes = black_holes; return p; }), - py::arg("bundles"), - "Pinned(bundles): a sequence of PredDAG of one graph, copied; the policy checks them when it is\n" - "built (non-empty, no duplicates, each with a src -> dst walk)") + py::arg("program"), py::kw_only(), py::arg("black_holes") = nullptr, + "Pinned(program, *, black_holes=None): a ForwardingProgram and an Eligibility of the same graph (both\n" + "kept by reference; checked when a policy is built with them)") .def_property_readonly( - "bundles", + "program", [](const Pinned& p) { return typed_shared(p.program); }, + "the forwarded program (shared, immutable)") + .def_property_readonly( + "black_holes", [](const Pinned& p) { - py::list out; - for (const auto& b : p.bundles) out.append(std::const_pointer_cast(b)); - return out; + return optional_shared(p.black_holes); }, - "the bundles in supply order (a new list of the shared, immutable PredDAG values)") - .def("__repr__", [](const Pinned& p) { return "Pinned(bundles=" + std::to_string(p.bundles.size()) + ")"; }); + "the black holes (an Eligibility), or None") + .def("__repr__", [](const Pinned& p) { + return "Pinned(tunnels=" + std::to_string(p.program->tunnels().size()) + ")"; + }); } } // namespace netgraph::core::bindings diff --git a/bindings/python/values.hpp b/bindings/python/values.hpp index 7ee09f0..435673d 100644 --- a/bindings/python/values.hpp +++ b/bindings/python/values.hpp @@ -13,6 +13,7 @@ #include #include #include +#include #include #include #include @@ -90,6 +91,25 @@ inline py::list pairs_list(const std::vector>& v) { return out; } +// An amount argument: an integer number of units in [0, 2^62) or +inf (float('inf')); nullopt is +// +inf. Any other value (a bool, another float, a non-integer, an integer out of range) raises the +// one ValueError `text`; an exception of the object's own __index__ propagates as raised. +inline std::optional units_or_inf(const py::object& volume, const char* text) { + if (py::isinstance(volume) || py::isinstance(volume, py::module_::import("numpy").attr("floating"))) { + const double x = PyFloat_AsDouble(volume.ptr()); + if (x == -1.0 && PyErr_Occurred() != nullptr) throw py::error_already_set(); + if (std::isinf(x) && x > 0) return std::nullopt; + throw py::value_error(text); + } + if (is_bool(volume) || !PyIndex_Check(volume.ptr())) throw py::value_error(text); + const py::object idx = py::reinterpret_steal(PyNumber_Index(volume.ptr())); + if (!idx) throw py::error_already_set(); + int overflow = 0; + const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); + if (overflow != 0 || v < 0 || v >= kDomainLimit) throw py::value_error(text); + return static_cast(v); +} + inline OutputOptions outputs_of(const py::object& obj) { if (obj.is_none()) return OutputOptions {}; if (!py::isinstance(obj)) { diff --git a/dev/cpp-tests.sh b/dev/cpp-tests.sh index 82ea132..ad827d6 100644 --- a/dev/cpp-tests.sh +++ b/dev/cpp-tests.sh @@ -23,8 +23,8 @@ cd "$(dirname "${BASH_SOURCE[0]}")/.." # still run, three checks are weaker without them: the helper check_deletion # (flow_core_deletion_tests.cpp) checks each re-solve's final result, but observes each repair step # only through the probe hook (see that file's header); PolicyFixtures.EveryFixtureReplaysIdentically -# compares no trace and replays only the 58 fixtures that keep the default creation cap, and -# PolicyFixtures.ACorruptedExpectationFails corrupts only what that replay compares, in those 58 +# compares no trace and replays only the 54 fixtures that keep the default creation cap, and +# PolicyFixtures.ACorruptedExpectationFails corrupts only what that replay compares, in those 54 # fixtures (see flow_policy_fixture_tests.cpp's header). EXPECTED_OFF_SKIPS=" FlowCoreDeletion.CheckpointsEqualTheIterativeUpdate diff --git a/dev/perf/aba_api.hpp b/dev/perf/aba_api.hpp index df94058..419c130 100644 --- a/dev/perf/aba_api.hpp +++ b/dev/perf/aba_api.hpp @@ -25,7 +25,9 @@ // multipath, multi_edge))), no residual, no ceiling, no masks. Digest: the path count, then per // path its cost, hop count and B' edge ids (the graph's edge ids, ordered by source, cost, target // and input position). -// The kernel rows place on fixed DAGs read with the public spf with targets (base_dag). +// The kernel rows place on fixed DAGs read with the public spf with targets (base_dag): MaxFlow +// as Global restricted to the DAG (Global(support = dag)), the other kernels as Pinned over a +// program of the one split route (from_routes per placement; Weighted with the capacity weights). // // The storage rows' interface (README "Rows"): construct_prepare and construct_run (the // constructor on prepared unit capacities, then the sampled digest of construct_sample), @@ -41,6 +43,7 @@ #include "netgraph/core/flow_ledger.hpp" #include "netgraph/core/flow_policy.hpp" #include "netgraph/core/graph.hpp" +#include "netgraph/core/program.hpp" #include "netgraph/core/search.hpp" #include "netgraph/core/detail/traversal.hpp" @@ -303,20 +306,27 @@ inline nc::FlowPolicyConfig config(nc::Routing routing, Kernel k, nc::PathSelect return nc::FlowPolicyConfig {std::move(routing), a.placement, a.admission, sel}; } -// Manual placements on fixed DAGs into one ledger: one Pinned policy with that one bundle per -// placement, destroyed after the call (its record stays in the ledger as an orphan). +// Manual placements on fixed DAGs into one ledger: one policy per placement on that one DAG +// (MaxFlow: Global with the DAG as its support; the other kernels: Pinned over the program of the +// one split route), destroyed after the call (its records stay in the ledger as orphans). struct Ledger { nc::FlowLedger fg; explicit Ledger(const Graph& g) : fg(g.g) {} double place(int src, int dst, const Dag& dag, double amount, Kernel k) { - nc::Pinned pinned; - pinned.bundles.push_back(dag.dag); const auto a = axes(k); const nc::NodeId s[1] = {src}; const nc::NodeId t[1] = {dst}; - nc::FlowPolicy policy(fg, s, t, - nc::FlowPolicyConfig {std::move(pinned), a.placement, a.admission, - nc::PathSelection(nc::EdgeTieBreak::Deterministic, a.priority)}); + nc::FlowPolicyConfig cfg; + cfg.admission = a.admission; + if (k == Kernel::MaxFlow) { + cfg.routing = nc::Global {dag.dag}; + } else { + nc::RouteOptions options; + options.placement = a.placement; + const nc::Route routes[1] = {nc::Route {src, dag.dag, 1}}; + cfg.routing = nc::Pinned {nc::ForwardingProgram::from_routes(*fg.graph(), s, t, routes, options), nullptr}; + } + nc::FlowPolicy policy(fg, s, t, std::move(cfg)); const auto r = policy.place(nc::to_units(amount, kResolution)); return nc::as_float(r.placed, kResolution); } @@ -417,6 +427,111 @@ inline std::uint64_t pooled_place(const Graph& g, const std::vector p; + std::vector srcs; + nc::NodeId dst {0}; +}; +inline Program global_program(const Graph& g, const std::vector& srcs, int dst, double volume) { + Program out; + out.srcs.assign(srcs.begin(), srcs.end()); + out.dst = dst; + nc::FlowLedger fg(g.g); + const nc::NodeId tv[1] = {dst}; + nc::FlowPolicy policy(fg, out.srcs, tv, nc::FlowPolicyConfig {.routing = nc::Global {}}); + out.p = policy.replace(nc::to_units(volume, kResolution)).program; + return out; +} + +// The failure states as shared Eligibility values (a Pinned black-hole set is held by reference). +using Masks = std::vector>; +inline Masks masks(const Graph& g, const std::vector>& states) { + Masks out; + for (const auto& st : states) out.push_back(std::make_shared(*eligibility(g, {}, st).el)); + return out; +} + +inline void add_rows(Digest& d, const nc::PlacementResult& r) { + d.add_i(r.placed); + d.add(r.source_loss.lo); + nc::Amount drops = 0; + for (const auto& [e, x] : r.call_drops) drops += x; + d.add_i(drops); + for (const auto& t : r.by_tunnel) { + d.add_i(static_cast(t.status)); + d.add(t.assigned.lo); + d.add_i(t.delivered); + } +} + +// An installed program's policy: forward(offer) for each offer (no route computation). The policy +// and its ledger live for the whole row; each call retires and creates its records. +struct Installed { + nc::FlowLedger fg; + std::unique_ptr policy; + Installed(const Graph& g, const std::vector& srcs, int dst, double volume) : fg(g.g) { + const std::vector sv(srcs.begin(), srcs.end()); + const nc::NodeId tv[1] = {dst}; + policy = std::make_unique(fg, sv, tv, nc::FlowPolicyConfig {.routing = nc::Global {}}); + (void)policy->replace(nc::to_units(volume, kResolution)); + } + std::uint64_t forward_all(const std::vector& offers) { + Digest d; + for (double o : offers) add_rows(d, policy->forward(nc::to_units(o, kResolution))); + return d.h; + } +}; + +// Pinned Lossy over a program under each failure state, each on a fresh ledger: the state as the +// policy's mask (replay: failed tunnels, the heads split over the survivors) or as its black holes +// (stale forwarding: the program unchanged, traffic dropped at the failures); replace(offer). +inline std::uint64_t pinned_failures(const Graph& g, const Program& prog, const Masks& states, double offer, + bool stale) { + Digest d; + const nc::NodeId tv[1] = {prog.dst}; + const auto units = nc::to_units(offer, kResolution); + for (const auto& st : states) { + nc::FlowLedger fg(g.g); + nc::FlowPolicyConfig cfg; + cfg.routing = nc::Pinned {prog.p, stale ? st : nullptr}; + cfg.admission = nc::Admission::Lossy; + nc::FlowPolicy policy(fg, prog.srcs, tv, std::move(cfg), stale ? nullptr : st.get()); + add_rows(d, policy.replace(units)); + } + return d.h; +} + +// A CostOnly EqualBalanced demand replaced while an outside CostOnly demand changes its load: for +// each load, the outside policy replaces its offer, then the demand replace(offer) re-prepares its +// program on the new released view and retires its records. One ledger for the row's iteration. +inline std::uint64_t replace_under_load(const Graph& g, const std::vector& srcs, int dst, + const std::vector& outside_srcs, int outside_dst, + const std::vector& loads, double offer) { + const auto cfg = config(nc::CostOnly {}, Kernel::EqualBalanced, costonly_selection()); + nc::FlowLedger fg(g.g); + const std::vector sv(srcs.begin(), srcs.end()); + const std::vector ov(outside_srcs.begin(), outside_srcs.end()); + const nc::NodeId tv[1] = {dst}; + const nc::NodeId otv[1] = {outside_dst}; + nc::FlowPolicy demand(fg, sv, tv, cfg); + nc::FlowPolicy outside(fg, ov, otv, cfg); + Digest d; + const auto units = nc::to_units(offer, kResolution); + for (double load : loads) { + (void)outside.replace(nc::to_units(load, kResolution)); + const auto r = demand.replace(units); + d.add_i(r.placed); + d.add_i(r.delivery_delta); + d.add_i(r.routes_changed ? 1 : 0); + d.add_i(r.weights_changed ? 1 : 0); + } + return d.h; +} + // The equal-origin Global configuration (every roster source sends its round-robin share). inline nc::FlowPolicyConfig global_equal_config() { return nc::FlowPolicyConfig {.routing = nc::Global {}, .origin = nc::Origin::Equal}; diff --git a/dev/perf/aba_rows.hpp b/dev/perf/aba_rows.hpp index 178e233..b64a52a 100644 --- a/dev/perf/aba_rows.hpp +++ b/dev/perf/aba_rows.hpp @@ -907,6 +907,50 @@ inline std::vector rows() { const std::vector srcs = {1, 17, 33}; return Iter([g, srcs] { return abaapi::sensitivity_equal_global(*g, srcs, 50); }); }}); + // ---- forwarding programs (step 3): no older Core has them; they guard the later steps. + // One demand of eight source leaves to one leaf on a Clos 32x16 (links of 10..80): its optimized + // Global program (paths with solved amounts, captured source weights), solved for 2,000. + auto program_demand = [] { + std::vector srcs; + for (int i = 0; i < 8; ++i) srcs.push_back(i); + return srcs; + }; + r.push_back({"program.forward.global", "program", + "forward() of an installed optimized Global program, Clos 32x16, 8 sources to one leaf, 32 offers " + "of 100..3,200 (the injection by captured weights and the per-tunnel split, no solve)", + [=] { + auto g = std::make_shared(abaapi::build(gen_clos(32, 16, 25))); + auto inst = std::make_shared(*g, program_demand(), 20, 2000.0); + std::vector offers; + for (int i = 1; i <= 32; ++i) offers.push_back(100.0 * i); + return Iter([g, inst, offers] { return inst->forward_all(offers); }); + }}); + auto failure_row = [=](bool stale) { + auto a = gen_clos(32, 16, 25); + auto g = std::make_shared(abaapi::build(a)); + auto prog = std::make_shared(abaapi::global_program(*g, program_demand(), 20, 2000.0)); + auto states = std::make_shared(abaapi::masks(*g, failure_states(a.num_edges() / 2, 32, 3, 26))); + return Iter([g, prog, states, stale] { return abaapi::pinned_failures(*g, *prog, *states, 2400.0, stale); }); + }; + r.push_back({"program.replay.lossy", "program", + "Pinned Lossy replace() of that Global program under 32 failure states (3 links) as the mask, each on a " + "fresh ledger: failed tunnels, the heads' shares over the survivors, the loss rule", + [=] { return failure_row(false); }}); + r.push_back({"program.stale.lossy", "program", + "the same with the failure states as black holes (stale forwarding: the program unchanged, traffic " + "dropped at the failures)", + [=] { return failure_row(true); }}); + r.push_back({"program.replace.costonly", "program", + "CostOnly EqualBalanced replace() of 8 source leaves to one leaf, Clos 32x16, under 16 changing loads of " + "an outside demand (re-preparation on the released view, the retiring commit)", + [=] { + auto g = std::make_shared(abaapi::build(gen_clos(32, 16, 25))); + std::vector loads; + for (int i = 0; i < 16; ++i) loads.push_back(50.0 * (i % 8)); + return Iter([g, loads, srcs = program_demand()] { + return abaapi::replace_under_load(*g, srcs, 20, {9, 10, 11, 12}, 21, loads, 800.0); + }); + }}); // ---- cohort placement (TE_ECMP presets) auto cohort_row = [](int min_flows, int max_flows) { auto f = gen_fabric3(4, 8, 4, 8, 21); diff --git a/dev/perf/test_tool.py b/dev/perf/test_tool.py index 19cf089..7602d90 100644 --- a/dev/perf/test_tool.py +++ b/dev/perf/test_tool.py @@ -3121,7 +3121,7 @@ def test_list(self): self.assertEqual(proc.returncode, 0, proc.stderr) rows = aba.row_list(proc.stdout.encode(), "aba-list") real = {k: v for k, v in rows.items() if not k.startswith("test.")} - self.assertEqual(len(real), 55) + self.assertEqual(len(real), 59) sums = sha256sums(HERE / "queries") lists = {} for name in sums: @@ -3155,7 +3155,7 @@ def test_blocks(self): real = [row for row in listed if not row.startswith("test.")] with concurrent.futures.ThreadPoolExecutor(os.cpu_count() or 1) as pool: procs = list(pool.map(lambda row: self.harness("aba-run", row, "1"), real)) - self.assertEqual(len(procs), 55) + self.assertEqual(len(procs), 59) for row, proc in zip(real, procs, strict=True): self.assertEqual(proc.returncode, 0, (row, proc.stderr)) self.assertEqual( diff --git a/dev/stubs/check_clients.py b/dev/stubs/check_clients.py index 68c639d..ad855be 100644 --- a/dev/stubs/check_clients.py +++ b/dev/stubs/check_clients.py @@ -48,6 +48,10 @@ "ng.SensitivityEntry()", "ng.SensitivityResult()", "ng.SpfResult()", + "ng.ForwardingProgram()", + "ng.Tunnel()", + "ng.TunnelFlow()", + "ng.Pinned([dag])", "npt.NDArray[np.float64] = g.capacity_units()", "text: str = g.capacity_units().item(0)", 'ng.Graph("wrong"', @@ -64,6 +68,7 @@ "first = result.costs[0]", "total = flows.sum()", "cost_total: int = best.total_cost", + "weights = best.program.source_weights", ] diff --git a/dev/stubs/overrides.pyi b/dev/stubs/overrides.pyi index ece3a87..d2a45d8 100644 --- a/dev/stubs/overrides.pyi +++ b/dev/stubs/overrides.pyi @@ -228,18 +228,84 @@ class CapacityAware: @property def max_path_cost(self) -> Absolute | Stretch | None: ... -class Pinned: - # reason: bundles is a sequence of PredDAG (a Path converts with to_dag()) - # generated: def __init__(self, bundles: typing.Any) -> None: - def __init__(self, bundles: collections.abc.Sequence[PredDAG]) -> None: ... - # reason: a new list of the PredDAG bundles - # generated: def bundles(self) -> list: +class Tunnel: + # reason: no constructor: a tunnel of ForwardingProgram.tunnels + # generated: (none) + def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... + # reason: the path's EdgeIds in path order + # generated: def edges(self) -> tuple: @property - def bundles(self) -> list[PredDAG]: ... + def edges(self) -> tuple[int, ...]: ... + +class Route: + # reason: head and weight are integers (weight checked by from_routes); bundle a Path or a PredDAG (TypeError otherwise) + # generated: def __init__(self, head: typing.Any, bundle: typing.Any, *, weight: typing.Any = 1) -> None: + def __init__( + self, + head: typing.SupportsIndex, + bundle: Path | PredDAG, + *, + weight: typing.SupportsIndex = 1, + ) -> None: ... + +class ForwardingProgram: + # reason: no constructor: made by from_routes and returned by the policies + # generated: (none) + def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... + # reason: sources and destinations are node sets; routes a sequence of Route; edge_weights and residual integers or None + # generated: def from_routes(graph: Graph, sources: typing.Any, destinations: typing.Any, routes: typing.Any, *, placement: FlowPlacement | None = None, weights: WeightBasis | None = None, edge_weights: typing.Any = None, residual: typing.Any = None) -> ForwardingProgram: + @staticmethod + def from_routes( + graph: Graph, + sources: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + destinations: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + routes: collections.abc.Sequence[Route], + *, + placement: FlowPlacement | None = None, + weights: WeightBasis | None = None, + edge_weights: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None = None, + residual: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None = None, + ) -> ForwardingProgram: ... + # reason: the destination set, ascending + # generated: def destinations(self) -> tuple: + @property + def destinations(self) -> tuple[int, ...]: ... + # reason: (source, weight) pairs, or None for equal sources + # generated: def source_weights(self) -> typing.Any: + @property + def source_weights(self) -> tuple[tuple[int, int], ...] | None: ... + # reason: the source set, ascending + # generated: def sources(self) -> tuple: + @property + def sources(self) -> tuple[int, ...]: ... + # reason: the program's tunnels, ascending index + # generated: def tunnels(self) -> tuple: + @property + def tunnels(self) -> tuple[Tunnel, ...]: ... + +class Global: + # reason: support is a PredDAG or None + # generated: def __init__(self, *, support: typing.Any = None) -> None: + def __init__(self, *, support: PredDAG | None = None) -> None: ... + +class Pinned: + # reason: black_holes may be None + # generated: def __init__(self, program: ForwardingProgram, *, black_holes: Eligibility = None) -> None: + def __init__( + self, program: ForwardingProgram, *, black_holes: Eligibility | None = None + ) -> None: ... class FlowPolicyConfig: # reason: routing is one of the four routing modes (TypeError otherwise) - # generated: def __init__(self, *, routing: typing.Any, placement: FlowPlacement | None = None, admission: Admission = ..., selection: PathSelection | None = None, origin: Origin | None = None) -> None: + # generated: def __init__(self, *, routing: typing.Any, placement: FlowPlacement | None = None, admission: Admission = ..., selection: PathSelection | None = None, origin: Origin | None = None, weights: WeightBasis | None = None, edge_weights: typing.Any = None) -> None: def __init__( self, *, @@ -248,7 +314,15 @@ class FlowPolicyConfig: admission: Admission = ..., selection: PathSelection | None = None, origin: Origin | None = None, + weights: WeightBasis | None = None, + edge_weights: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None = None, ) -> None: ... + # reason: the explicit weights, one int per edge, or None + # generated: def edge_weights(self) -> typing.Any: + @property + def edge_weights(self) -> tuple[int, ...] | None: ... # reason: the routing mode given at construction # generated: def routing(self) -> typing.Any: @property @@ -275,6 +349,19 @@ class SourceFlow: @property def source_loss(self) -> int: ... +class TunnelFlow: + # reason: no constructor: one row of PlacementResult.by_tunnel + # generated: (none) + def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... + # reason: an exact int (a 128-bit counter) + # generated: def assigned(self) -> typing.Any: + @property + def assigned(self) -> int: ... + # reason: an exact int (a 128-bit counter) + # generated: def dropped(self) -> typing.Any: + @property + def dropped(self) -> int: ... + class PlacementResult: # reason: no constructor: returned by FlowPolicy.place and the evaluators # generated: (none) @@ -287,6 +374,10 @@ class PlacementResult: # generated: def by_source(self) -> tuple: @property def by_source(self) -> tuple[SourceFlow, ...]: ... + # reason: one TunnelFlow per program tunnel + # generated: def by_tunnel(self) -> tuple: + @property + def by_tunnel(self) -> tuple[TunnelFlow, ...]: ... # reason: a list of (EdgeId, units) pairs # generated: def call_drops(self) -> list: @property @@ -356,6 +447,31 @@ class FlowPolicy: volume: typing.SupportsIndex | float | numpy.floating, outputs: OutputOptions | None = None, ) -> PlacementResult: ... + # reason: offer is integer units or float('inf'); outputs may be None; the result is a PlacementResult + # generated: def evaluate(self, offer: typing.Any, *, outputs: typing.Any = None) -> typing.Any: + def evaluate( + self, + offer: typing.SupportsIndex | float | numpy.floating, + *, + outputs: OutputOptions | None = None, + ) -> PlacementResult: ... + # reason: offer is integer units or float('inf'); black_holes and outputs may be None; the result is a PlacementResult + # generated: def forward(self, offer: typing.Any, *, black_holes: typing.Any = None, outputs: typing.Any = None) -> typing.Any: + def forward( + self, + offer: typing.SupportsIndex | float | numpy.floating, + *, + black_holes: Eligibility | None = None, + outputs: OutputOptions | None = None, + ) -> PlacementResult: ... + # reason: offer is integer units or float('inf'); outputs may be None; the result is a PlacementResult + # generated: def replace(self, offer: typing.Any, *, outputs: typing.Any = None) -> typing.Any: + def replace( + self, + offer: typing.SupportsIndex | float | numpy.floating, + *, + outputs: OutputOptions | None = None, + ) -> PlacementResult: ... # reason: a FlowId is a tuple (ledger uid, id) of integers # generated: def record(self, flow_id: typing.Any) -> FlowRecord: def record( @@ -363,8 +479,8 @@ class FlowPolicy: ) -> FlowRecord: ... class QueryOptions: - # reason: elig, cache and outputs may be None - # generated: def __init__(self, config: FlowPolicyConfig, *, elig: Eligibility = None, cache: DagCache = None, outputs: typing.Any = None) -> None: + # reason: elig, cache, outputs and offered may be None; offered is integer units or float('inf') + # generated: def __init__(self, config: FlowPolicyConfig, *, elig: Eligibility = None, cache: DagCache = None, outputs: typing.Any = None, offered: typing.Any = None) -> None: def __init__( self, config: FlowPolicyConfig, @@ -372,7 +488,12 @@ class QueryOptions: elig: Eligibility | None = None, cache: DagCache | None = None, outputs: OutputOptions | None = None, + offered: typing.SupportsIndex | float | numpy.floating | None = None, ) -> None: ... + # reason: the offer given, an int or float('inf'), or None + # generated: def offered(self) -> typing.Any: + @property + def offered(self) -> int | float | None: ... # reason: None when no cache was given # generated: def cache(self) -> DagCache: @property diff --git a/docs/semantics.md b/docs/semantics.md index 4cd3b0f..31d2735 100644 --- a/docs/semantics.md +++ b/docs/semantics.md @@ -57,13 +57,24 @@ Contents: - **Highest averages `H(x, w)`.** `x` units over members with integer weights `w`, given one at a time to the member with the largest `w[i] / (assigned[i] + 1)`, ties to the earlier member; a zero weight gets nothing. -- **Program.** The routes and splits a `CostOnly` policy prepares once per epoch and forwards - over. +- **Program.** A `ForwardingProgram`: the routes and integer weights of one demand and the rule + that injects its traffic at the sources. CostOnly and Global produce one (CapacityAware has none + until its tunnels arrive); `Pinned` + forwards a given one without computing anything ([section 7](#forwarding-programs)). +- **Entry.** One route of a program: a **tunnel** (one path, one edge per hop) or a **split + route** (a DAG whose routers split by fixed rules). Each entry has an integer identifier, its + `index`, and a weight: its share among its head's entries. +- **Head.** A roster source, as the start of its entries. +- **Split context.** The traffic a split route's routers split: only that route's own share. A + `CostOnly` program is one context pooled over its sources; every supplied split route is its + own. +- **Black hole.** A node or edge that fails silently: forwarding goes on unchanged and traffic + that reaches it disappears there (stale forwarding). - **Controller.** A routing that solves a flow problem for the whole demand: `Global`, and `CostOnly` with `MAX_FLOW`. - **Offer.** The part of a request that a call asks one source to place. -- **Epoch.** The period from a policy's construction, or a `remove()`, to the next `remove()`; - requests add up within it. +- **Epoch.** The period from a policy's construction, a `remove()`, a `replace()` or a `forward()` + to the next of these; the requests of `place` add up within it. - **Lossless / Lossy.** Admission control: Lossless places only what fits end to end; Lossy forwards hop by hop and drops what does not fit on each edge. - **Static.** Depending only on the graph, the costs and the Eligibility, not on traffic already @@ -73,7 +84,7 @@ Contents: `multi_edge=False`. - **Kernel.** The rule that spreads one flow over its route: `MAX_FLOW`, `WEIGHTED` or `EQUAL_BALANCED`. -- **Bundle.** The route of one flow, as a `PredDAG`. +- **Bundle.** The route of one record, as a `PredDAG`. - **View.** The capacity a solve may use: the free capacity plus the flow's (or the `Global` policy's) own allocation. - **Minimum cut.** A set of edges whose removal separates the sources from the destinations, @@ -98,7 +109,8 @@ PREFER = ngc.PathSelection(ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, ngc.EdgePrio def config(routing, placement=ngc.FlowPlacement.EQUAL_BALANCED, admission=ngc.Admission.LOSSLESS, selection=DET): - """A configuration with a kernel (every routing but Global, which takes none).""" + """A configuration with a kernel and a selection (CostOnly and CapacityAware; Global and + Pinned take neither).""" return ngc.FlowPolicyConfig(routing=routing, placement=placement, admission=admission, selection=selection) ``` @@ -294,16 +306,17 @@ supplied residual filters edges by capacity. ### Options shared by the searches -- **`PathSelection(tie_break, priority, multipath=True, multi_edge=True)`.** `tie_break` and - `priority` have no default. +- **`PathSelection(tie_break=DETERMINISTIC, priority=CAPACITY, multipath=True, + multi_edge=True)`.** Every field has its default. - `multipath=True` returns the DAG of every equal-cost walk; `False` the one canonical path. - `multi_edge=True` keeps every eligible parallel member of a `(u, v)` pair; `False` keeps one per pair (the member rule below). - `tie_break`: `DETERMINISTIC` never compares priority values; ties fall to the lowest EdgeId. `PREFER_HIGHER_PRIORITY` prefers the higher priority value first, then the lowest EdgeId. - - `priority`: the per-edge value that `PREFER_HIGHER_PRIORITY` reads (and that the Weighted - kernel uses for membership and weights): `RESIDUAL` (residual units), `CAPACITY` (static + - `priority`: the per-edge value that `PREFER_HIGHER_PRIORITY` reads. CostOnly and supplied + split routes read WeightBasis; only CapacityAware still reads selection priority (for its + Weighted flows' membership and weights). The values: `RESIDUAL` (residual units), `CAPACITY` (static capacity units) or `HEADROOM` (residual divided by capacity, compared exactly as a fraction; 0 on an edge of capacity 0). A search without a residual array reads the static capacity as the residual: `RESIDUAL` and `CAPACITY` read the capacity, `HEADROOM` reads 1 on @@ -450,10 +463,8 @@ drops on each edge what does not fit. `EQUAL_BALANCED` uses every edge of the route, an edge of capacity 0 included: a router splits over every next hop it has, so that edge receives its round-robin share and carries none of it (Lossless can then admit nothing on that branch; Lossy drops the share on that edge); - `WEIGHTED` uses the edges of positive weight, by its `priority` the edges with positive residual - when the flow was created (`RESIDUAL`) or with at least 1 unit of static capacity - (`CAPACITY`), and drops a branch left without such an edge (never taking a route outside its - own). `WEIGHTED` with `HEADROOM` is rejected. Lossy keeps its kernel's membership. + `WEIGHTED` uses the edges of positive weight (below) and drops a branch left without such an + edge (never taking a route outside its own). Lossy keeps its kernel's membership. - **`MAX_FLOW`** solves the minimum-cost flow of the flow's cumulative amount on its route, over the free capacity plus the flow's own current allocation. It may move the flow's own earlier allocation (that is what lets it reach the maximum); it never moves another flow's. It fills @@ -462,10 +473,18 @@ drops on each edge what does not fit. sources' routes ([section 7](#routing-modes)). `MAX_FLOW` is Lossless only: a controller never drops. A flow beyond the flow core's size limit raises `ValueError` ([section 2](#2-the-graph), Size). -- **`WEIGHTED`** splits at every node by highest averages over weights frozen when the flow is - created: the members' priority values at that moment (residual units under `RESIDUAL`, static - capacity units under `CAPACITY`). Weights are never renormalised; a member whose residual later - shrinks limits the flow. +- **`WEIGHTED`** splits at every node by highest averages over integer weights frozen when the + route is prepared. The **weight basis** (`WeightBasis`) says where they come from: `CAPACITY` + (the default) the member's static capacity; `EXPLICIT` one integer per edge given as + `edge_weights`, each in `[0, 2^62)` (a positive weight on an edge of capacity 0 becomes 0); + `RESIDUAL_SNAPSHOT` the member's free capacity, read once when the route is prepared (a policy: + its view at that call's entry, the ledger's residual plus, for `evaluate` and `replace`, the + policy's own released traffic; `from_routes`: the `residual` it is given). The + selection's `priority` never chooses weights; it acts only in single-path and parallel-member + choices, so `WEIGHTED` with `HEADROOM` is allowed. Weights are never renormalised; a member + whose residual later shrinks limits the flow. `CapacityAware` keeps its own rule: its + `WEIGHTED` flows read their weights from the priority values when each flow is created + (`HEADROOM` is rejected there). - **`EQUAL_BALANCED`** splits at every node by round robin over its members, which are frozen when the flow is created. - **Lossless filling** (`WEIGHTED`, `EQUAL_BALANCED`). On a fixed route and plan, a flow's delivered @@ -474,11 +493,13 @@ drops on each edge what does not fit. budget and `T_max`, the largest amount whose allocation fits every member edge (found by exact binary search). At `T_max` at least one member edge is exactly full; there is no safety margin. Because the split rules are monotone, raising `T` never takes units away from an edge. -- **Lossy forwarding** (`WEIGHTED` or `EQUAL_BALANCED`, and only with `CostOnly` or `Pinned` - routing). Each call's offer is split at every node by the kernel's rule; each edge carries the - smaller of its share and its residual, and the rest is dropped on that edge. The delivery is - what reaches the destination set. An infinite offer injects into each first edge exactly its - residual. A share that has no edge to go on (a `WEIGHTED` node whose members all have weight 0) +- **Lossy forwarding** (`CostOnly` with `WEIGHTED` or `EQUAL_BALANCED`, and `Pinned`). Each + call's offer is split at every node by the kernel's rule; each edge carries the smaller of what + reaches it and its residual, and the rest is dropped on that edge (where several routes of one + program meet on an edge, [the loss rule](#losses-inside-one-program) divides what it carries). The delivery is + what reaches the destination set. Only CostOnly.place(+inf) uses the first-hop experiment; + Pinned and full-offer LOSSY calls require finite offers (in the experiment each first edge + receives exactly its residual). A share that has no edge to go on (a `WEIGHTED` node whose members all have weight 0) is lost where it is: at a source it is `source_loss`. Records keep `offered`, `delivered` and per-edge `drops`. Lossy calls are independent: nothing is re-offered and two calls are not equivalent to one. @@ -512,7 +533,7 @@ record 10 7 [(1, 3)] ``` The Lossy call is `COMPLETE` although 3 units were dropped: the whole offer of 10 was forwarded, -and what did not fit is accounted as drops, not as a shortfall ([section 7](#outcomes)). +and what did not fit is accounted as drops, not as a shortfall ([section 7](#termination)). An edge of capacity 0 on the only shortest route is still that route. Equal splitting sends it the whole offer: Lossless places nothing, Lossy drops all of it there. Weighted splitting gives @@ -565,7 +586,9 @@ records hold. in FlowId order; `record(flow_id)` reads one. A FlowId is the pair `(ledger uid, id)`; ids are never reused. A FlowId of another ledger, or a retired or unknown id, raises `ValueError`. - **`FlowRecord`** fields: `flow_id`; `owner` (the policy's id); `sources` and `destinations` - (node sets); `admission`; `bundle` (the flow's route as a `PredDAG`); + (node sets); `admission`; `entry` (a `Pinned` record: the identifier of the program entry it + carries; `None` for the records kept per roster source or per flow); `bundle` (the flow's route + as a `PredDAG`); `route_cost` (the cheapest walk of the bundle, cached; `None` for an empty bundle); `offered` (Lossy records only, else `None`); `delivered`; `edges` (`[(EdgeId, units)]`, ascending) and `drops` (`[(EdgeId, units)]`, cumulative, ascending). @@ -590,48 +613,57 @@ A policy destroyed without `remove()` leaves its records and allocations in the **In plain words.** A `FlowPolicy` is the routing model of one demand between a set of sources and a set of destinations. `place(volume)` asks it to carry more; it routes, fills and possibly grows its flows, commits everything at once, and reports how much was placed, what stopped it, -where traffic was lost and how much each source carried. `remove()` takes all of its traffic -back out. A demand with several sources is one demand, not several: how its traffic enters at +where traffic was lost and how much each source carried. `evaluate`, `replace` and `forward` ask +for a whole new offer instead (only computed, published, or forwarded over the routes already +installed). `remove()` takes all of its traffic back out. A demand with several sources is one demand, not several: how its traffic enters at the sources is its **origin**, and where the routes of its sources meet, their traffic is added and split once. ### Configuration `FlowPolicyConfig(*, routing, placement=None, admission=Admission.LOSSLESS, selection=None, -origin=None)` takes keywords only. The routing is one of: +origin=None, weights=None, edge_weights=None)` takes keywords only. The routing is one of: | Routing | Models | Fields (defaults) | | --- | --- | --- | | `CostOnly()` | IGP forwarding (as OSPF or IS-IS routers do): static shortest paths, never refreshed; with `MAX_FLOW`, a controller restricted to those paths | none | | `CapacityAware(...)` | distributed CSPF tunnels (constrained shortest path first: each tunnel head picks a shortest path with enough free capacity) | `flow_count=1`, `max_flow_count=None`, `max_path_cost=None`, `min_flow_bandwidth=0`, `reoptimize=False`, `diminishing=None` | -| `Global()` | an ideal controller that sees the whole network | none | -| `Pinned(bundles)` | explicit routes given by the caller | a list of `PredDAG` (a `Path` converts with `to_dag()`); copied when the policy is built | +| `Global(*, support=None)` | an ideal controller that sees the whole network, or only the edges of `support` | `support`: a `PredDAG` of the graph, or `None` for every eligible edge | +| `Pinned(program, *, black_holes=None)` | forwarding over a given program, computing nothing | `program`: a `ForwardingProgram`; `black_holes`: an `Eligibility` whose excluded nodes and edges are black holes, or `None` | Each routing accepts exactly the combinations of this table; any other raises `ValueError` before any work, a request of 0 included. A field marked "none" must be left `None`: -| Routing | `placement` | `origin` default / allowed | `admission` | `selection` | -| --- | --- | --- | --- | --- | -| `CostOnly` | `EQUAL_BALANCED` (ECMP) or `WEIGHTED` (WCMP) | `EQUAL` / `EQUAL` | `LOSSLESS`, `LOSSY` | all four fields | -| `CostOnly` | `MAX_FLOW` | `OPTIMIZED` / both | `LOSSLESS` | all four fields | -| `Global` | none | `OPTIMIZED` / both | `LOSSLESS` | none | -| `CapacityAware` | any kernel (required) | `EQUAL` / `EQUAL` | `LOSSLESS` | all four fields | -| `Pinned` | any kernel (required) | none | `LOSSLESS`, `LOSSY` (not with `MAX_FLOW`) | only `priority`, with `WEIGHTED` | +| Routing | `placement` | `origin` default / allowed | `admission` | `selection` | `weights` | +| --- | --- | --- | --- | --- | --- | +| `CostOnly` | `EQUAL_BALANCED` (ECMP) | `EQUAL` / `EQUAL` | `LOSSLESS`, `LOSSY` | all four fields | none | +| `CostOnly` | `WEIGHTED` (WCMP) | `EQUAL` / `EQUAL` | `LOSSLESS`, `LOSSY` | all four fields | `CAPACITY` (default), `EXPLICIT`, `RESIDUAL_SNAPSHOT` | +| `CostOnly` | `MAX_FLOW` | `OPTIMIZED` / both | `LOSSLESS` | all four fields | none | +| `Global` | none | `OPTIMIZED` / both | `LOSSLESS` | none | none | +| `CapacityAware` | any kernel (required) | `EQUAL` / `EQUAL` | `LOSSLESS` | all four fields | none | +| `Pinned` | none | none (the program has its injection) | `LOSSLESS`, `LOSSY` | none | none | `selection=None` means `PathSelection()` (`DETERMINISTIC`, `CAPACITY`, `multipath=True`, -`multi_edge=True`) for the routings that read it, and `origin=None` means the routing's default. -A policy's `config()` returns the configuration with both filled in (`selection` stays `None` for -`Global` and `origin` for `Pinned`). Further rules: - -- `WEIGHTED` with priority `HEADROOM` is rejected. +`multi_edge=True`) for the routings that read it, `origin=None` the routing's default and +`weights=None` `CAPACITY` for `CostOnly` `WEIGHTED`. A policy's `config()` returns the +configuration with these filled in (`selection` stays `None` for `Global` and `Pinned`, `origin` +for `Pinned`). Further rules: + +- `edge_weights` (one integer per edge in EdgeId order, each in `[0, 2^62)`) is given exactly when + `weights=EXPLICIT`: `weights=EXPLICIT requires edge_weights`, `edge_weights require + weights=EXPLICIT`, `edge_weights: expected entries`, `edge_weights[] must be an integer in + [0, 2^62)`. The configuration keeps the array by reference: every policy built from it reads the + same one. +- `CapacityAware` `WEIGHTED` with priority `HEADROOM` is rejected (its weights come from the + priority values). - `flow_count >= 1`; `max_flow_count` is `None` (no ceiling) or at least `flow_count`; `min_flow_bandwidth` is in [0, 2^62) units; `max_path_cost` is `None`, `Absolute(c)` with `c >= 0` or `Stretch(f)` with `f` finite and at least 1 (as for `ksp`); `diminishing` is `None` (off) or `DiminishingReturns(window, fraction)` with `window >= 1` and `fraction` strictly between 0 and 1. - Only `CostOnly` reads a `DagCache`; any other routing given one is rejected. -- `Pinned`: one source and one destination; at least one bundle; no duplicate bundles; every - bundle runs from the policy's source to its destination and has at least one walk. +- `Pinned`: the program's sources and destinations must be the policy's (`program endpoints do not + match policy endpoints`); any number of each. - **The pooled single-path rule.** `CostOnly` with more than one source (counted after removing repeats, before any Eligibility) rejects `multipath=False` together with `PREFER_HIGHER_PRIORITY`: the bottleneck choice could then differ per source at a router the @@ -642,10 +674,12 @@ its ledger. `sources` and `destinations` are one node id or a sequence; the two overlap. Construction validates everything before the policy binds (a field that a routing does not have is a `TypeError`; every other defect a `ValueError`), and when several defects meet, the first in this order is reported: the endpoint sets (empty, out of range, the lowest node in both); -a foreign `Eligibility` or `DagCache`; enum values outside their enumeration; the table above, +the graph of each object the policy is given: the `Eligibility`, the program (`program belongs to +another graph`), the support (`support belongs to another graph`), the `DagCache`, the black holes +(`black_holes belongs to another graph`); enum values outside their enumeration; the table above, its row (routing, then placement) and then its columns left to right (placement, origin, -admission, selection); the cache rule; `CapacityAware`'s own fields; the endpoint counts -(`Pinned`'s single endpoints, the pooled single-path rule); `Pinned`'s bundles. +admission, selection, weights); the cache rule; `CapacityAware`'s own fields; `edge_weights`; the +pooled single-path rule; `Pinned`'s endpoints. ### The origin @@ -669,10 +703,14 @@ The roster is fixed when the policy is built. For `CostOnly`, `CapacityAware` an the allowed sources that have a static walk to an allowed destination over allowed edges, whatever their capacity, in ascending node id: a source whose only routes cross an edge of capacity 0 is in the roster, receives its share and cannot place it (a failure is expressed with an Eligibility, -which removes the source). For `Pinned` it is the single source when at least one bundle is -usable. The roster decides which sources receive shares and which records exist; `by_source` +which removes the source); `Global` with a support counts only walks inside the support. For +`Pinned` it is the program's heads that still reach a destination under the policy's Eligibility +([replay](#replay-under-a-failure)). The roster decides which sources receive shares; for the +computing models it also decides which records exist, while `Pinned` keeps one record per configured +program entry even when no head survives the replay (such a record stays at zero). `by_source` reports every input source, a source outside the roster with a zero row. A positive request with -an empty roster creates nothing and ends `NO_ROUTE`. +an empty roster ends `NO_ROUTE`: a computing model creates nothing, and `Pinned` creates or keeps its +per-entry records at zero. ### Routing modes @@ -681,13 +719,15 @@ an empty roster creates nothing and ends `NO_ROUTE`. each roster source's route is its static shortest-path DAG toward the destination set (with `multipath=False`, its canonical path), read from the [DAG cache](#9-the-dag-cache), with the selection applied on the ledger's residual at that call's entry (priorities read from that - residual for `RESIDUAL` and `HEADROOM`, from the static capacities for `CAPACITY`; `WEIGHTED` - freezes its weights there). The program is the union of these routes: at a router several + residual for `RESIDUAL` and `HEADROOM`, from the static capacities for `CAPACITY`); `WEIGHTED` + freezes its weights from its weight basis there ([section 5](#5-placement-kernels-and-admission)). The program is the union of these routes: at a router several sources pass, their traffic for the demand is added (with the router's own injection when it is a source) and split once over its members, by round robin (`EQUAL_BALANCED`) or by highest averages over the weights (`WEIGHTED`). Every source that passes a router has the same continuation there, so the union lends no source a link outside its own route. The program is - never refreshed, grown or reoptimised within the epoch. + never refreshed, grown or reoptimised within the epoch. It is the policy's `program`: one split + context pooled over the roster, one split route per roster source (entry index = roster + position, weight 1), equal sources; it lists no tunnel. - **`CostOnly` with `MAX_FLOW`** is a controller restricted to shortest paths: it solves like `Global` (below), but only over the union of the roster sources' routes prepared as above, edges of capacity 0 included (so a zero-capacity shortest route is never bypassed). @@ -716,16 +756,28 @@ an empty roster creates nothing and ends `NO_ROUTE`. reaches it), and that total is solved once more from zero, so the result does not depend on the search. A positive call on a network beyond the flow core's size limit raises `ValueError` ([section 2](#2-the-graph), Size). +- **`Global(support=dag)`** is the same controller restricted to the edges of `dag`, trimmed to + the walks from the sources to the allowed destinations inside it (an edge that leads nowhere + inside the support is never used; a mask removes its edges as usual). It reports `total_cost` + but neither `cost_distribution` nor `min_cut`, and `sensitivity` solves each deletion afresh. +- **The controllers' programs.** After every positive call a controller decomposes its solved + flow into paths, each roster source's share in a canonical order, one tunnel per path with its + solved amount as weight (indices in decomposition order), also with a single source. With the + `OPTIMIZED` origin the program keeps the solved supplies as **captured source weights** + (`source_weights`: every roster source, a zero supply included); with `EQUAL` it injects by + round robin. Forwarded on the same view, the program reproduces the solve exactly. - **Records of the controllers** (`Global`, `CostOnly` with `MAX_FLOW`): one record per roster source, holding that source's share of the solved flow (its edges and its delivery), extracted in a canonical order. A `Global` record's bundle is the set of edges that carry the share, rebuilt on every positive call under the same FlowId; a source with no share has an empty bundle and `route_cost` `None`. A `CostOnly` `MAX_FLOW` record's bundle is its source's prepared route, and the share stays inside it. -- **`Pinned`** creates one flow per usable bundle, in the order given. A bundle is usable when at - least one of its walks survives the Eligibility, whatever the capacities of its edges; its - `route_cost` is the cheapest such walk. Bundles that become equal after that pruning keep separate flows. When no bundle is - usable, `usable_bundles()` is 0 and a positive request ends `NO_ROUTE`. +- **`Pinned`** forwards its program as given, computing nothing: injection, entries, weights and + split tables are the program's, replayed under the policy's Eligibility and with its black + holes ([forwarding programs](#forwarding-programs)). It keeps one record per program entry + (`entry` is the entry's identifier), created at the epoch's first positive call, a record of + weight 0 or of a `FAILED` tunnel included (that one with an empty bundle and `route_cost` + `None`). A positive request with an empty replay roster ends `NO_ROUTE`. ### Several sources and destinations @@ -748,7 +800,7 @@ an empty roster creates nothing and ends `NO_ROUTE`. Sources are placed one after another, in ascending node id, on the shared free capacity; what one source cannot place is not passed to another. A split request is therefore not equivalent to one large request. -- **`Pinned`** has a single source and a single destination. +- **`Pinned`** follows its program: its injection over the replay roster, then each head's entries. Two sources with one unit each meet at node 2, whose two members lead to the destination. Pooled, node 2 splits the two units once, one per member, and gives one member to each source; split @@ -802,6 +854,203 @@ LOSSY 5 [(0, 5)] [(0, 5), (1, 0)] source 0 excluded 10 ``` +### Forwarding programs + +**In plain words.** A program is what a routing decided, written down: which routes each source +uses and in which integer proportions. CostOnly and Global produce one (`policy.program`, +`result.program`; CapacityAware has none until its tunnels arrive). `Pinned(program)` forwards a program without computing anything: to replay a +solution on another ledger, to study a failure (the routers drop the failed routes and split over +the survivors) or to study the moment before anyone reacts (the failed elements swallow what +reaches them). `ForwardingProgram.from_routes` builds a program from routes you give. + +**Exact rules.** + +- **The value.** A `ForwardingProgram` is immutable and shared by reference: `sources` and + `destinations` (the normalised sets), `tunnels` (the tunnel entries in ascending `index`; split + routes are not listed) and `source_weights` (`None` for equal sources). A `Tunnel` has `index`, + `head`, `local_index` (its position among its head's entries of both kinds), `destination`, + `edges` (in path order), `route_cost` and `weight`. It has no public constructor. +- **Injection.** A total `x` enters at the roster either by round robin (**equal sources**) or by + highest averages over the captured source weights; each head then splits its share by highest + averages over its entries' weights (equal weights give round robin). A head whose entries all + have weight 0 loses its share at the source. Identical routes are never merged: each entry + takes its own share. +- **Entry identifiers.** Controller paths are numbered in decomposition order; a `CostOnly` split + program numbers its routes by roster position; supplied routes keep their position in the list + (a split route uses its position too, so tunnel indices can skip it). Records (`entry`) and + `by_tunnel` rows (`index`) use the same identifier. +- **Split contexts.** A split route's routers split only that route's share, even where another + split route reaches the same router with the same members. Only a `CostOnly` program pools its + per-source routes into one context. +- **`ForwardingProgram.from_routes(graph, sources, destinations, routes, *, placement=None, + weights=None, edge_weights=None, residual=None)`** with `Route(head, bundle, *, weight=1)` + (`bundle` a `Path` with one edge per hop, a tunnel, or a `PredDAG`, a split route). Order and + duplicates are kept; the roster is the sources with a route. `placement` is the interior split + of the `PredDAG` routes, `EQUAL_BALANCED` (`None`) or `WEIGHTED`, whose weights `weights`, + `edge_weights` and `residual` choose as in [section 5](#5-placement-kernels-and-admission) + (`residual` is the free capacity `RESIDUAL_SNAPSHOT` reads; it has no default). A split route + keeps the edges of its DAG on the walks from its head to a destination. The first failure, in + this order, raises `ValueError`: the endpoint sets; `routes must not be empty`; when no route is + a `PredDAG`, any option given (` applies only to + PredDAG routes`); `MAX_FLOW` (`from_routes placement must be EQUAL_BALANCED or WEIGHTED`); the + weights' combination (as for a configuration, `weights require placement=WEIGHTED` and + `residual requires weights=RESIDUAL_SNAPSHOT` included); `edge_weights`' length and entries, + `residual`'s (the ledger's baseline messages); then each route in list order: + `routes[]: bundle belongs to another graph`, `routes[]: head is not a source`, for a + `Path` `routes[]: a tunnel has one edge per hop`, `routes[]: the path starts at , not at + head `, `routes[]: the path ends at , not at a destination`, `routes[]: the path + meets destination before its end`, for a `PredDAG` `routes[]: no walk from head to a + destination`, then `routes[]: weight must be an integer in [0, 2^62)`. A route of weight 0 is + validated in full and carries nothing. +- **The lossless bound.** A Lossless call forwards each entry's share without drops, adds the + loads per edge and admits the largest total that leaves no share without a route and puts no + edge above its free capacity (exact bisection: the totals that fit form a prefix). + +#### Replay under a failure + +A `Pinned` policy's Eligibility is the failure being studied (local repair): + +- A tunnel that touches an excluded node or edge is `FAILED` and gets nothing; replay never + computes a replacement path. +- A split route loses its excluded members and the branches left without a destination; members + of capacity 0 stay (`EQUAL_BALANCED` still sends them their share). +- The roster is rebuilt from the program's **basis**, ignoring capacities and weights: for an + unrestricted controller the topology under the producing policy's exclusions, for `CostOnly`, + a supported `Global` and supplied routes the original routes, each together with the policy's + exclusions. A head that no longer reaches a destination leaves the pool (equal sources: its + share moves to the others); a head that still reaches one but has no surviving entry keeps its + share and loses it. Captured source weights keep the remaining heads' saved weights; when all of + them are 0, the whole offer is lost at the sources (`NO_ACTIVE_WEIGHT`). +- An edge whose capacity is now 0 is not a failure: its traffic is lost on that edge, the tunnel + stays `UP`. Weights stay as the program froze them. + +#### Stale forwarding: black holes + +`Pinned(program, black_holes=e)` and `forward(offer, black_holes=e)` forward the program unchanged +while the nodes and edges `e` excludes swallow what reaches them (`None`, or an all-allowed value, +means none). Nothing is pruned, re-split or reweighted: every router keeps its members and +weights and applies the program's whole-unit rule to the traffic that actually arrives. A +black-holed edge carries nothing (all that arrives is dropped there); a black-holed node acts the +same on every edge entering it; a black-holed source loses its own share as `source_loss`. Lossy +runs the loss rule below with those edges serving 0; Lossless admits only totals that put nothing +on a black hole. A tunnel that is up but whose path reaches a black hole is `BLACKHOLED` in +`by_tunnel`, its traffic dropped at the first black hole on its path. The policy's Eligibility +applies first: an element both excluded and black-holed is excluded. + +```python +# Two parallel edges of 4 and 8: the duplicate tunnel takes its own share. +g = graph(2, [(0, 1, 4, 1), (0, 1, 8, 1)]) +def tunnel(g, head, edges, weight=1): + return ngc.Route(head, ngc.Path(g, [[e] for e in edges]), weight=weight) +def pinned(program, admission=ngc.Admission.LOSSLESS, black_holes=None): + return ngc.FlowPolicyConfig(routing=ngc.Pinned(program, black_holes=black_holes), + admission=admission) +for routes in ([tunnel(g, 0, [0]), tunnel(g, 0, [1]), tunnel(g, 0, [1])], + [tunnel(g, 0, [0]), tunnel(g, 0, [1])]): + prog = ngc.ForwardingProgram.from_routes(g, 0, 1, routes) + r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, pinned(prog)).place(float("inf")) + print(r.placed, [(t.index, t.assigned) for t in r.by_tunnel]) + +# Two tunnels 0 -> 1 -> 3 and 0 -> 2 -> 3, every edge 10: node 2 fails. +g = graph(4, [(0, 1, 10, 1), (0, 2, 10, 1), (1, 3, 10, 1), (2, 3, 10, 1)]) +prog = ngc.ForwardingProgram.from_routes(g, 0, 3, [tunnel(g, 0, [0, 2]), tunnel(g, 0, [1, 3])]) +down = g.eligibility(excluded_nodes=[2]) +lossy = pinned(prog, ngc.Admission.LOSSY) +r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, lossy, down).replace(10) +print("repair", r.placed, [(t.status.name, t.assigned) for t in r.by_tunnel]) +r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, pinned(prog, ngc.Admission.LOSSY, down)).replace(10) +print("stale", r.placed, r.call_drops, [(t.status.name, t.assigned) for t in r.by_tunnel]) +print("stale lossless", ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, pinned(prog, black_holes=down)) + .place(float("inf")).placed) +``` + +```text +12 [(0, 4), (1, 4), (2, 4)] +8 [(0, 4), (1, 4)] +repair 10 [('UP', 10), ('FAILED', 0)] +stale 5 [(1, 5)] [('UP', 5), ('BLACKHOLED', 5)] +stale lossless 1 +``` + +The repaired head sends all 10 over its surviving tunnel. Stale, node 0 still splits 5 and 5 and +the second tunnel's 5 are dropped on edge 1, the edge entering node 2; Lossless admits 1 unit (2 +units would put one on the black hole). + +A program of a controller replays its solve; under a mask its failed tunnel's share moves to the +head's surviving tunnel: + +```python +g = graph(4, [(0, 1, 2, 1), (0, 2, 10, 1), (1, 3, 2, 1), (2, 3, 10, 1)]) +solved = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, ngc.FlowPolicyConfig(routing=ngc.Global())) +prog = solved.replace(12).program +print([(t.index, list(t.edges), t.weight) for t in prog.tunnels], prog.source_weights) +r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, pinned(prog, ngc.Admission.LOSSY), + g.eligibility(excluded_edges=[2])).replace(12) +print(r.placed, r.call_drops, [(t.status.name, t.assigned, t.delivered) for t in r.by_tunnel]) +``` + +```text +[(0, [0, 2], 2), (1, [1, 3], 10)] ((0, 12),) +10 [(1, 2)] [('FAILED', 0, 0), ('UP', 12, 10)] +``` + +The first tunnel is `FAILED`; the head's 12 go to its other tunnel by its weight 10 alone, which +carries 10 and drops 2 on edge 1. + +### Losses inside one program + +Where several entries of one program meet on an edge that cannot carry them all (Lossy), the +edge carries `T = min(free capacity, sum of arrivals)` and divides it by highest averages: first +over the heads by what each head's traffic brings, then within a head over its entries by their +arrivals. Each part continues with its share; the rest is dropped on that edge. The whole program +is evaluated at once: forwarded first without drops, an edge whose load fits can never drop and +waits for nothing; every other shared edge waits for all its possible arrivals, and the edges are +evaluated in dependency order (the order of independent edges does not change the result). +Splitting an edge into two in series with the same capacity changes nothing. + +When edges wait on each other in a cycle (one tunnel meets edge X before Y, another Y before X, +and both can drop), only that group is recalculated, round by round, from nothing carried, until +a round gives back exactly what went in; the answer is checked independently against the rule +before anything is published. A group that alternates between two states raises +`ValueError("lossy forwarding iteration entered a period-2 cycle")`; one that does not settle +within 64 rounds per waiting edge raises `ValueError("lossy forwarding iteration did not reach a +fixed point within the round limit")`; a failed check, an implementation fault, raises +`RuntimeError("lossy forwarding fixed-point verification failed")`. Each error publishes nothing +and does not claim that no answer exists. + +```python +# Two tunnels of one head share the second edge of 2 on tunnel 0 only. +g = graph(4, [(0, 1, 10, 1), (0, 2, 10, 1), (1, 3, 2, 1), (2, 3, 10, 1)]) +prog = ngc.ForwardingProgram.from_routes(g, 0, 3, [tunnel(g, 0, [0, 2]), tunnel(g, 0, [1, 3])]) +r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, pinned(prog, ngc.Admission.LOSSY)).place(12) +print(r.placed, r.call_drops, [(t.assigned, t.delivered, t.dropped) for t in r.by_tunnel]) + +# One edge of 9 shared by two tunnels of weights 2 and 1: the offer splits 8 and 4, the edge 6 and 3. +g = graph(2, [(0, 1, 9, 1)]) +prog = ngc.ForwardingProgram.from_routes(g, 0, 1, [tunnel(g, 0, [0], 2), tunnel(g, 0, [0], 1)]) +r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, pinned(prog, ngc.Admission.LOSSY)).place(12) +print(r.placed, [(t.assigned, t.delivered, t.dropped) for t in r.by_tunnel]) + +# Two tunnels cross edges X (e0, 1 unit) and Y (e3, 2 units) in opposite orders, weights 1 and 2. +g = graph(6, [(0, 1, 1, 1), (1, 2, 1000, 1), (1, 5, 1000, 1), (2, 3, 2, 1), (3, 0, 1000, 1), + (3, 5, 1000, 1), (4, 0, 1000, 1), (4, 2, 1000, 1)]) +prog = ngc.ForwardingProgram.from_routes( + g, 4, 5, [tunnel(g, 4, [6, 0, 1, 3, 5], 1), tunnel(g, 4, [7, 3, 4, 0, 2], 2)]) +try: + ngc.FlowPolicy(ngc.FlowLedger(g), 4, 5, pinned(prog, ngc.Admission.LOSSY)).place(3) +except ValueError as error: + print(error) +``` + +```text +8 [(2, 4)] [(6, 2, 4), (6, 6, 0)] +9 [(8, 6, 2), (4, 3, 1)] +lossy forwarding iteration entered a period-2 cycle +``` + +In the first program the second edge of 2 on tunnel 0 drops 4 of its 6. In the cycle, the rounds +from zero alternate between two states, so the call raises and publishes nothing. + ### The placement call `place(volume, outputs=None)` takes a request in units (an `int`) or `float('inf')`. @@ -810,21 +1059,22 @@ source 0 excluded 10 infinite one is rejected (the cumulative request would be undefined), `place(0)` included. 2. **A request of 0** is `COMPLETE` and does nothing: it creates no flow and prepares nothing. It reports the demand's state, with both flags false. -3. **`CostOnly` split routing** prepares the program at the epoch's first positive call (one - record per roster source, also at zero delivery). Lossless then admits the largest total `a` +3. **`CostOnly` split routing and `Pinned`.** `CostOnly` prepares the program at the epoch's first + positive call (one record per roster source, also at zero delivery); `Pinned` creates its + records, one per entry, there. Lossless then admits the largest total `a` between what it already delivers and that plus the request whose forwarding of `RR(a)` from zero fits the free capacity plus the policy's own allocation with no drop and gives no share to a source without a member (exact binary search: the totals that fit form a prefix). Lossy - injects at the sources this call's increase of the round robin, `RR(offered + v) - - RR(offered)`, and forwards it hop by hop on the free capacity: each edge carries the smaller of - what reaches it and its residual and drops the rest. An infinite Lossy request is the - **first-hop experiment**: each source injects on each of its first edges exactly that edge's + injects at the sources this call's increase of the injection, `RR(offered + v) - RR(offered)` + (or the difference of the highest averages over captured source weights), and forwards it hop + by hop on the free capacity: each edge carries the smaller of what reaches it and its residual + and drops the rest. An infinite Lossy request is rejected for `Pinned` (`LOSSY forwarding + requires a finite offer`); for `CostOnly` it is the **first-hop experiment**: each source injects on each of its first edges exactly that edge's residual, on top of the traffic other sources send through it, and forwarding runs as usual. 4. **The controllers** re-solve as described above. -5. **`CapacityAware` and `Pinned`** run, per source and on one shared working copy of the free - capacity: creation (while the source has no flows), reoptimisation (`CapacityAware` with - `reoptimize`), filling (each flow, or each equal-share cohort, raised toward its maximum), - growth (`CapacityAware`). +5. **`CapacityAware`** runs, per source and on one shared working copy of the free capacity: + creation (while the source has no flows), reoptimisation (with `reoptimize`), filling (each + flow, or each equal-share cohort, raised toward its maximum), growth. 6. **Commit.** All changes to the ledger and the policy are committed together at the end, or none are ([section 8](#8-failures-threads-and-lifetimes)). @@ -833,7 +1083,7 @@ What the call guarantees: - `placed` is the increase in delivery made by this call, and `0 <= placed <= volume`. For Lossy it is this call's delivery. `remaining = volume - placed` (`float('inf')` for an infinite request; for Lossy it includes what was lost). -- A call never reduces `placed_demand()`, the sum of `delivered` over the policy's records. The +- A `place` call never reduces `placed_demand()`, the sum of `delivered` over the policy's records. The total of an equal-share cohort never decreases; one tunnel's amount can decrease when growth re-splits a larger total over more tunnels (`[3, 3]` plus a new tunnel can become `[3, 2, 2]`). @@ -842,16 +1092,17 @@ What the call guarantees: record keeps its FlowId for the rest of the epoch and can fill on a later call. - **Additivity.** With the rest of the network unchanged between the calls, `place(a); place(b)` equals `place(a + b)` exactly for Lossless `CostOnly` split routing, the controllers (value, - allocation and cost curve) and a single Lossless `Pinned` flow or cohort. Lossy calls are not + allocation and cost curve) and Lossless `Pinned`. Lossy calls are not additive: each forwards its own injection on the free capacity the earlier calls left, and nothing is offered again. `CapacityAware` sources are not additive. ### Epochs `remove()` takes every flow of the policy out of the ledger (allocations reverted, records gone, -ids retired) and starts a new epoch: the cumulative request, the round-robin position of the -source split, the finite-or-infinite state and the prepared program are reset. The next positive -request prepares again and creates new flows with new ids; ids are never reused. +ids retired), clears the installed program and starts a new epoch: the cumulative request, the +round-robin position of the source split and the finite-or-infinite state are reset. The next +positive request prepares again and creates new flows with new ids; ids are never reused. +`replace` and `forward` also start a new epoch (below). ```python g = graph(4, [(0, 1, 10, 1), (1, 3, 10, 1), (0, 2, 2, 1), (2, 3, 2, 1)]) @@ -876,15 +1127,59 @@ The first unit goes to source 0 and the second to source 1 (round robin of the c request); the first call creates both records, source 1's at zero delivery. After `remove()` the split starts again at source 0, under new ids. +### Operations: evaluate, replace and forward + +Besides `place`, a policy has three full-offer calls. Each starts from the policy's own **released +view**: the ledger's residual with the policy's own traffic given back. + +| Call | What it does | Routings | +| --- | --- | --- | +| `evaluate(offer, *, outputs=None)` | computes and forwards `offer` from the released view as a fresh epoch would, and reports it; publishes nothing and creates no record | all | +| `replace(offer, *, outputs=None)` | the same computation, then published at once: the old records are retired, new ones created, the new program installed, a new epoch begun with `requested = offer`; delivery may go down | all | +| `forward(offer, *, black_holes=None, outputs=None)` | forwards a full new offer over the installed program with no route computation (weights stay frozen, a controller does not re-solve), on the released view, then publishes like `replace`; `black_holes` forwards it stale for this call | `CostOnly` and `Global` with an installed program; `Pinned` uses `replace` | + +- `placed` of a full-offer call is its whole new delivery and `delivery_delta` the new delivery + minus the old (it may be negative). A later `place` continues the epoch a `replace` or a + `forward` began (its records keep their ids). +- With other owners fixed, identical full inputs give identical results, except fresh record ids. +- `forward`'s checks, in order: `Pinned forwards with replace`; `forward requires an installed + program` (also after `remove()`, and always for `CapacityAware`); the offer; a Lossy `+inf` + (`LOSSY forwarding requires a finite offer`, as for `evaluate` and `replace` and Lossy + `Pinned`); the black holes' graph (`black_holes belongs to another graph`). +- `CapacityAware` has no program: its `evaluate` and `replace` run `place(offer)` on a fresh + epoch over the released view. + +```python +g = graph(2, [(0, 1, 10, 1), (0, 1, 10, 1)]) +ledger = ngc.FlowLedger(g) +pol = ngc.FlowPolicy(ledger, 0, 1, config(ngc.CostOnly())) +r = pol.replace(6) +print(r.placed, [x.flow_id[1] for x in pol.records()]) +r = pol.evaluate(12) +print(r.placed, r.delivery_delta, ledger.allocated().tolist()) +r = pol.replace(4) +print(r.placed, r.delivery_delta, [x.flow_id[1] for x in pol.records()]) +r = pol.forward(7) +print(r.placed, r.routes_changed, r.weights_changed, ledger.allocated().tolist()) +``` + +```text +6 [0] +12 6 [3, 3] +4 -2 [1] +7 False False [4, 3] +``` + ### Termination -The call's `termination` is the first row that applies (an invalid call raises instead): +The call's `termination` (of `place` and of the full-offer calls alike) is the first row that +applies (an invalid call raises instead): | Termination | When | | --- | --- | | `COMPLETE` | the request is 0 | -| `NO_ROUTE` | the request is positive and the roster is empty (`Pinned`: no usable bundle) | -| `NO_ACTIVE_WEIGHT` | routes exist, but none has an edge it may use: every `WEIGHTED` member has weight 0, so the program sends nothing anywhere | +| `NO_ROUTE` | the request is positive and the roster is empty (`Pinned`: the replay roster) | +| `NO_ACTIVE_WEIGHT` | routes exist, but nothing can be sent anywhere: every `WEIGHTED` member has weight 0, or no head with a positive injection weight has a surviving entry of positive weight | | `COMPLETE` | Lossy with a finite request: the whole request was forwarded, and delivery and losses account for all of it (it does not mean nothing was lost) | | `COMPLETE` | Lossless: the whole request was admitted | | `EXHAUSTED` | otherwise: Lossless below the request, any infinite request (the first-hop experiment included), a controller whose maximum is 0 over existing routes | @@ -918,11 +1213,11 @@ pol = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 4, selection=tunnel)) show(pol.place(10)) -# Weighted splitting by residual where another demand holds the only edge: no positive weight. +# Weights from the residual where another demand holds the only edge: no positive weight. ledger = ngc.FlowLedger(g) ngc.FlowPolicy(ledger, 1, 4, config(ngc.CostOnly())).place(1) -weighted = config(ngc.CostOnly(), ngc.FlowPlacement.WEIGHTED, - selection=ngc.PathSelection(priority=ngc.EdgePriority.RESIDUAL)) +weighted = ngc.FlowPolicyConfig(routing=ngc.CostOnly(), placement=ngc.FlowPlacement.WEIGHTED, + weights=ngc.WeightBasis.RESIDUAL_SNAPSHOT, selection=DET) show(ngc.FlowPolicy(ledger, 1, 4, weighted).place(1)) ``` @@ -934,18 +1229,24 @@ show(ngc.FlowPolicy(ledger, 1, 4, weighted).place(1)) ### Flags `routes_changed` and `weights_changed` start false in every call and record only changes that -were committed. Once set in a call, a flag stays set; a call with no committed structural change -ends with both false, even when it places nothing. +were committed; a call that raises publishes nothing. For the routings with a program they +compare the installed program before and after the call (no program counts as an empty one): +`routes_changed` the ordered heads, each entry's kind and route (a tunnel's path, a split route's +members), duplicates included; `weights_changed` the injection (equal or the captured weights, by +value) and every entry and split-table weight. Hence: | Committed change | `routes_changed` | `weights_changed` | | --- | --- | --- | -| records are created, in any routing mode, also at zero delivery and in a new epoch after `remove()` (`CapacityAware` only with a route, possibly on a later call) | true | unchanged | -| a retained flow is moved to a new route (`reoptimize`) | true | true when a `WEIGHTED` flow's weights were captured again (also when the call places nothing) | -| growth adds a flow (also on a route equal to an existing flow's: routes belong to flows) | true | unchanged | -| a `Global` call changes the edges some source's share uses, also with `placed == 0` | true | a controller never sets it | -| nothing of the above: a request of 0, rejected candidates only, `Global` with every source's edges unchanged | unchanged | unchanged | +| the epoch's first nonempty program (`CostOnly` and the controllers' first positive call, a `replace`, `replace(0)` included) | true | true | +| an empty program over no program or an empty one (a call with an empty roster, `replace(0)` included) | false | false | +| a controller's re-solve that moves a source's share to other edges, also with `placed == 0` | true | true unless the entries keep their number and amounts | +| a controller's re-solve that changes only a path's amount (`Global` `place(5)` then `place(5)` on one path) | false | true | +| an offer-only call over an unchanged program: `forward`, `Pinned`, `CostOnly` increments, an identical `replace` (new ids) | false | false | +| `CapacityAware`: records are created (also at zero delivery, possibly on a later call), growth adds a flow (routes belong to flows) | true | unchanged | +| `CapacityAware`: a retained flow moves to a new route (`reoptimize`) | true | true when a `WEIGHTED` flow's weights were captured again (also when the call places nothing) | +| nothing of the above: `place(0)` (a request of 0, which prepares and installs nothing, unlike a full zero offer such as `replace(0)`, which follows the rows above), rejected candidates only | unchanged | unchanged | -A candidate route equal to the flow's current route is not a change. +A `CapacityAware` candidate route equal to the flow's current route is not a change. ```python # A first request on a route whose only unit another demand holds. @@ -954,16 +1255,17 @@ ledger = ngc.FlowLedger(g) ngc.FlowPolicy(ledger, 1, 4, config(ngc.CostOnly())).place(1) pol = ngc.FlowPolicy(ledger, 1, 4, config(ngc.CostOnly())) r = pol.place(1) -print(r.placed, r.termination.name, r.routes_changed, [x.delivered for x in pol.records()]) +print(r.placed, r.termination.name, r.routes_changed, r.weights_changed, + [x.delivered for x in pol.records()]) ``` ```text -0 EXHAUSTED True [0] +0 EXHAUSTED True True [0] ``` ### The result -`place` returns a `PlacementResult`. Its fields describe either this call or the demand's state +`place`, `evaluate`, `replace` and `forward` return a `PlacementResult`. Its fields describe either this call or the demand's state after it (totals over the epoch); a per-call loss field carries the `call_` prefix, a state field does not, so the two are never confused. @@ -971,9 +1273,11 @@ does not, so the two are never confused. above; `delivery_delta`, the change of the delivery (for `place` it equals `placed`); `call_drops`, this call's drops per edge as `[(EdgeId, units)]`; `call_source_loss`, the units this call lost at sources. -- **The demand's state**: `requested` (the sum of the requests, `float('inf')` after an infinite - one), `offered`, `admitted`, `delivered`, `unadmitted`, `source_loss`, `drops` (per edge, as - `[(EdgeId, units)]`), `by_source` and `total_cost`. Every amount is an exact Python integer and +- **The demand's state**: `program` (the installed `ForwardingProgram`, `evaluate`'s computed one; + `None` before the epoch's first preparation, after `remove()` and for `CapacityAware`), + `requested` (the sum of the requests, `float('inf')` after an infinite one), `offered`, + `admitted`, `delivered`, `unadmitted`, `source_loss`, `drops` (per edge, as + `[(EdgeId, units)]`), `by_source`, `by_tunnel` and `total_cost`. Every amount is an exact Python integer and may exceed 64 bits. - **Accounting.** Lossless: `offered` is `None`, `source_loss` 0, no drops, `admitted = delivered`, and `requested = unadmitted + delivered` for a finite request (`unadmitted` is `None` after an @@ -986,22 +1290,26 @@ does not, so the two are never confused. `admitted`, `delivered`, `source_loss` and `dropped` (its share of `drops`). The rows sum to the totals, with one exception: a Lossy positive request with an empty roster reports `offered = requested` and all of it as `source_loss`, lost before entering, while every row stays zero. +- **`by_tunnel`** is a tuple of `TunnelFlow` rows, one per program tunnel in ascending `index` + (empty without tunnels): `index`, `head`, `status` (`UP`, `FAILED`, `BLACKHOLED`), `assigned` + (its injected share), `delivered` and `dropped`. It is another view of the same traffic as + `by_source`, never added to it. - **`total_cost`**: the controllers only, the exact `sum(cost[e] * flow[e])` of the policy's allocation; `None` otherwise. -- **`cost_distribution`**: `Global` with `OPTIMIZED` origin only, the marginal cost curve of the +- **`cost_distribution`**: unrestricted `Global` with `OPTIMIZED` origin only, the marginal cost curve of the policy's cumulative flow (a request of 0 reports it unchanged; `None` before the epoch's first positive call). `None` for every other mode, `EQUAL` origin included: the marginal costs of an equal flow need not increase. For other modes, the sum of `(route_cost, delivered)` over the records is a histogram of delivery by each record's cheapest walk cost: the cost every unit travels at for `CostOnly` split routing and `CapacityAware`, whose routes have one cost, but not - for a `Pinned` bundle whose walks differ in cost. + for a split route whose walks differ in cost. - **Optional outputs**, `None` unless requested through `OutputOptions(edge_flows=False, residual=False, bottleneck=False, min_cut=False)`: `edge_flows` is the policy's own allocation per edge after the call (the ledger's total is `allocated()`); `residual` and `bottleneck` are the ledger's after the call; `min_cut` is described below. - **`bottleneck` and `min_cut` are different things.** `bottleneck` is the saturation report of - [section 6](#6-the-ledger), available in every mode. `min_cut` exists only for `Global` with - `OPTIMIZED` origin: the edges of a minimum cut of the policy's view, the one on the sources' side: + [section 6](#6-the-ledger), available in every mode. `min_cut` exists only for unrestricted + `Global` with `OPTIMIZED` origin: the edges of a minimum cut of the policy's view, the one on the sources' side: the allowed edges that leave the nodes the sources can still reach once the flow is maximal (counting the option to undo flow on an edge), in ascending EdgeId, an edge with nothing free in the view (capacity 0, or held by other policies) included: it adds 0 to the cut's value and is @@ -1051,8 +1359,11 @@ threads; ledgers, policies and building caches have one writer at a time. `Graph.eligibility`, `SensitivityResult.baseline`, `FlowPolicy.records()`) use pybind11's own allocation paths, which do not all check for failure. A memory failure at exactly that point may crash the process instead of raising. Library state is never left half-changed by it. The - results of `spf`, `ksp`, `resolve_to_paths`, `FlowPolicy.place`, `capacity`, `batch_capacity` - and `sensitivity` are built through a checked path and stay inside the guarantee. + results of `spf`, `ksp`, `resolve_to_paths`, `ForwardingProgram.from_routes`, `FlowPolicy.place`, + `evaluate`, `replace` and `forward`, `capacity`, `batch_capacity` and `sensitivity` are built + through a checked path and stay inside the guarantee, and so are the shared values and rows the + result objects hand out (`program`, `by_source`, `by_tunnel`, `tunnels`, a record's `bundle`, + `FlowLedger.graph`, `Eligibility.intersect`). - **Limit 2: a `DagCache` passed to the call.** A building cache is a memo: when a call fails after some cache lookups succeeded (a policy constructor failing after its lookup, an evaluator failing midway), the cache keeps those complete entries and their statistics. It never holds a @@ -1173,12 +1484,19 @@ answers can differ from placing into a ledger that other demands already occupy. **Exact rules.** -- **`QueryOptions(config, *, elig=None, cache=None, outputs=None)`** is the one options type of - the three evaluators: the configuration, the static Eligibility (`None`: everything allowed), - the DagCache (`None`: a private cache per worker) and the optional outputs of each result - (`sensitivity`: of its baseline). +- **`QueryOptions(config, *, elig=None, cache=None, outputs=None, offered=None)`** is the one + options type of the three evaluators: the configuration, the static Eligibility (`None`: + everything allowed), the DagCache (`None`: a private cache per worker), the optional outputs of + each result (`sensitivity`: of its baseline) and the Lossy offer (`offered`: an integer in + `[0, 2^62)` or `float('inf')`, else `offered must be an integer in [0, 2^62) or permitted + +inf`). - **`capacity(graph, sources, destinations, opts)`** is `place(float('inf'))` of a `FlowPolicy` - with `opts.config` on a fresh ledger of the graph, and returns its `PlacementResult`. The exact maximum flow is the configuration + with `opts.config` on a fresh ledger of the graph, and returns its `PlacementResult`; `Pinned` + Lossy places `place(offered)` instead. The offer rules, checked with the arguments: `Pinned` + Lossy requires a finite `offered` (`Pinned LOSSY capacity requires finite offered`); `CostOnly` + Lossy is the first-hop experiment and takes none (`CostOnly LOSSY capacity uses first-hop + injection`); every Lossless configuration takes none (` LOSSLESS capacity does not accept + offered`, the model `CostOnly`, `Global`, `Pinned` or `T1` for `CapacityAware`). The exact maximum flow is the configuration `Global()` (its default origin is `OPTIMIZED`): its result carries the marginal cost curve and, with `OutputOptions(min_cut=True)`, the minimum cut. With `EQUAL` origin it is the largest total whose equal shares all fit. @@ -1187,7 +1505,8 @@ answers can differ from placing into a ledger that other demands already occupy. `opts.elig` intersected with `per_pair_elig[i]` (entries may be `None`; a given list has one entry per pair). Everything is validated before any worker starts: first the arguments (the worker count, the graph of `opts.elig` and of the cache, the cache rule, `Pinned`, which is - rejected because its bundles fix the endpoints, the configuration, then the length of + rejected because a program fixes its endpoints (`batch_capacity does not accept Pinned`), the + configuration, then the length of `per_pair_elig`), then each pair completely (its endpoint sets, their overlap, its Eligibility's graph, the pooled single-path rule of [section 7](#configuration) for its sources) in pair order, so the error of the lowest failing pair is the one raised. @@ -1195,17 +1514,19 @@ answers can differ from placing into a ledger that other demands already occupy. - **`sensitivity(graph, sources, destinations, opts, workers=None)`** returns a `SensitivityResult`: `baseline` (the result of `capacity`, with the requested outputs) and `entries`, one `SensitivityEntry(edge, loss)` per candidate edge, in ascending EdgeId. - - **Candidates.** With `Global` and `OPTIMIZED` origin: the edges that carry flow in the - baseline (removing an edge without flow cannot lower a maximum flow). With every other + - **Candidates.** With unrestricted `Global` and `OPTIMIZED` origin: the edges that carry flow + in the baseline (removing an edge without flow cannot lower a maximum flow). With every other configuration, `EQUAL` origin included: every allowed edge, whatever its capacity (an edge of capacity 0 can carry a route and keep a source in the roster, so deleting it can change the result either way). An edge without an entry has loss 0. - **Loss** is `baseline.placed` minus the `placed` of `capacity` with that edge also excluded, in units, signed and never rounded or thresholded. A negative loss means the model carries more without the edge (for example, equal splitting no longer sends a share down a thin - path, or a source behind it no longer holds the equal origin back). `Global` with `OPTIMIZED` - origin computes each deletion by repairing a copy of the baseline's solve, which gives exactly - the value of a fresh solve; with `EQUAL` origin each deletion is solved afresh. `CostOnly` + path, or a source behind it no longer holds the equal origin back). Unrestricted `Global` with + `OPTIMIZED` origin computes each deletion by repairing a copy of the baseline's solve, which + gives exactly the value of a fresh solve; with `EQUAL` origin or a support each deletion is + solved afresh. `Pinned` replays the same program under each deletion (a fixed-route failure + question, not a new optimum): deleting an edge of a tunnel fails that tunnel. `CostOnly` gives loss 0 without recomputation to an edge outside the static shortest-path support reachable from the roster sources (no route can use it); these are equivalent forms of the same definition. @@ -1257,11 +1578,12 @@ self-contained: | `netgraph/core/graph.hpp` | `Graph`, `to_units`, `as_float` | | `netgraph/core/eligibility.hpp` | `Eligibility` | | `netgraph/core/pred_dag.hpp` | `PredDAG`, `Path` | -| `netgraph/core/options.hpp` | `Direction`, `Absolute`, `Stretch`, `EdgeTieBreak`, `EdgePriority`, `PathSelection`, `FlowPlacement`, `Admission`, `Origin` | +| `netgraph/core/options.hpp` | `Direction`, `Absolute`, `Stretch`, `EdgeTieBreak`, `EdgePriority`, `PathSelection`, `FlowPlacement`, `Admission`, `Origin`, `WeightBasis` | +| `netgraph/core/program.hpp` | `ForwardingProgram`, `Tunnel`, `TunnelStatus`, `Route`, `RouteOptions` (the options of `from_routes`) | | `netgraph/core/search.hpp` | `spf`, `ksp`, `resolve_to_paths`, `SpfOptions`, `SpfResult`, `KspOptions`, `SpfQueue` | | `netgraph/core/flow_record.hpp` | `FlowId`, `Counter128` (the 128-bit cumulative counter), `FlowRecord` | | `netgraph/core/flow_ledger.hpp` | `FlowLedger` | -| `netgraph/core/flow_policy.hpp` | `FlowPolicy`, its configuration and result types (`SourceFlow` among them), `Termination`, `kMaxFlowsPerCall` | +| `netgraph/core/flow_policy.hpp` | `FlowPolicy`, its configuration and result types (`SourceFlow` and `TunnelFlow` among them), `Termination`, `kMaxFlowsPerCall` | | `netgraph/core/dag_cache.hpp` | `DagCache`, `DagCacheMiss` | | `netgraph/core/evaluators.hpp` | `capacity`, `batch_capacity`, `sensitivity` and their option and result types | @@ -1271,8 +1593,10 @@ Spelling differences: Python enum members and constants are upper case `kUnreachable`). Where Python returns `None` for an unreachable cost (`target_cost`, `route_cost`), C++ returns `kUnreachable`; an infinite request is an empty `std::optional` volume, and its `remaining` and `requested` are empty too. An optional field that Python reports as `None` -(`placement`, `selection` and `origin` of a configuration, `offered`, `unadmitted`, `total_cost`, -`cost_distribution`, the optional outputs) is an empty `std::optional` in C++; the epoch's amounts +(`placement`, `selection`, `origin` and `weights` of a configuration, `offered`, `unadmitted`, +`total_cost`, `cost_distribution`, `FlowRecord.entry`, the optional outputs) is an empty +`std::optional` in C++, and a `None` program, support or black holes a null `std::shared_ptr` +(`edge_weights` is a shared array, `std::shared_ptr>`); the epoch's amounts are `Counter128` values. A Python `ValueError` is a `std::invalid_argument` in C++. `spf` takes a trailing C++-only `SpfQueue` argument that chooses the search's internal queue; the results never depend on it. diff --git a/include/netgraph/core/detail/enum_domain.hpp b/include/netgraph/core/detail/enum_domain.hpp index a75016b..f88d52e 100644 --- a/include/netgraph/core/detail/enum_domain.hpp +++ b/include/netgraph/core/detail/enum_domain.hpp @@ -41,6 +41,15 @@ inline void check_member(Origin v, const char* field) { not_a_member(field, static_cast(v), "Origin"); } +inline void check_member(WeightBasis v, const char* field) { + switch (v) { + case WeightBasis::Capacity: + case WeightBasis::Explicit: + case WeightBasis::ResidualSnapshot: return; + } + not_a_member(field, static_cast(v), "WeightBasis"); +} + inline void check_member(EdgeTieBreak v, const char* field) { switch (v) { case EdgeTieBreak::Deterministic: diff --git a/include/netgraph/core/detail/forwarding.hpp b/include/netgraph/core/detail/forwarding.hpp new file mode 100644 index 0000000..4c006f7 --- /dev/null +++ b/include/netgraph/core/detail/forwarding.hpp @@ -0,0 +1,185 @@ +/* The forwarding of a program (internal): one engine for every model that forwards a program + (CostOnly's own pooled program, a controller's paths through forward(), and Pinned). + + A view is the program as one forwarding sees it: its replay under the forwarding policy's mask + (8.4: failed tunnels, split routes without their excluded members, the roster rebuilt from the + program's basis) and the black holes laid over it (8.6: they change no split; traffic reaching + one is dropped there, a black-holed head loses its own share at the source). + + Injection: a total enters as round robin over the view's heads (equal sources) or by highest + averages over their captured weights; each head splits its share by highest averages over its + surviving entries' weights. A head without a surviving entry of positive weight, or a + black-holed head, keeps its share and loses it at the source; an entry whose route has no + member left (a Weighted route of weights 0) loses what it receives at the source too. + + Lossless (8.3): the largest total in an interval whose no-drop loads fit the free capacity with + no share lost at a source or on a black hole; the loads are monotone in the total (round robin + and highest averages are house-monotone), so integer bisection is exact. + Lossy (9): the one evaluator of the loss rule. A link that receives more than its free capacity + V shares T = min(V, arrivals) by highest averages over the sources' arrivals, then within a + source over its entries'; A+ (9.2) forwards the no-drop loads U0 first, makes every link with + U0 <= V a pass-through and evaluates the other links (barriers) and the split routes' routers + once each in dependency order; barriers that wait on each other in a cycle are iterated from + zero (9.4: serial normalization first, then rounds, 64 b rounds for b barriers, the period-two + and round-limit errors, the independent check of the whole result before anything is + returned). A pooled program (one split context: a CostOnly program, one supplied split route) + is forwarded by its plan's kernels, which are this rule for one acyclic context. +*/ +#pragma once + +#include +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/kernels.hpp" +#include "netgraph/core/detail/program_data.hpp" +#include "netgraph/core/eligibility.hpp" +#include "netgraph/core/flow_record.hpp" +#include "netgraph/core/graph.hpp" +#include "netgraph/core/program.hpp" + +namespace netgraph::core::detail { + +struct ForwardingView { + std::shared_ptr program {}; + const ProgramData* data {nullptr}; + // A borrowed view is the program's own state (no mask, no black holes, no record bundle to + // make): every head of the roster injects, every entry is up with the program's route, cost and + // plan, and the vectors below stay empty (the accessors read the program). Otherwise they hold + // the replay: + bool borrowed {false}; + // The heads that inject (the replay roster, ascending NodeId) as roster slots; their captured + // weights (empty: equal sources); black-holed heads. + std::vector slots_ {}; + std::vector weights_ {}; + std::vector dark_head_ {}; + // Per program entry: Failed (excluded by the mask, or a head outside the replay roster), + // Blackholed (a tunnel whose path reaches a black hole) or Up; its route under the mask (the + // record's bundle; an empty DAG when it failed) and that route's cost. + std::vector status_ {}; + std::vector> bundles_ {}; + std::vector costs_ {}; + // Per view head: its surviving entries (positions in data->entries, ascending index). + std::vector head_begin_ {}; + std::vector head_entries_ {}; + // The split contexts as forwarded (restricted to the mask; the program's plan when nothing is + // removed) and per entry of a context its root's index in that plan's roots (-1 otherwise). + std::vector> plans_ {}; + std::vector root_of_ {}; + // Black holes: the nodes and edges this Eligibility excludes (null: none). + const Eligibility* dark {nullptr}; + // The pooled form: one context, one root per view head (equal sources, every entry weight + // positive). Its plan is plan(0), its roots the view's heads in order. + bool pooled {false}; + + [[nodiscard]] std::size_t num_heads() const noexcept { return borrowed ? data->roster.size() : slots_.size(); } + [[nodiscard]] std::int32_t slot(std::size_t h) const noexcept { + return borrowed ? static_cast(h) : slots_[h]; + } + [[nodiscard]] NodeId head(std::size_t h) const noexcept { return data->roster[static_cast(slot(h))]; } + [[nodiscard]] std::span weights() const noexcept { + return borrowed ? std::span(data->head_weight) : std::span(weights_); + } + [[nodiscard]] bool dark_head(std::size_t h) const noexcept { return !dark_head_.empty() && dark_head_[h] != 0; } + [[nodiscard]] TunnelStatus status(std::size_t e) const noexcept { return borrowed ? TunnelStatus::Up : status_[e]; } + [[nodiscard]] const std::shared_ptr& bundle(std::size_t e) const noexcept { + return borrowed ? data->entries[e].bundle : bundles_[e]; + } + [[nodiscard]] Cost cost(std::size_t e) const noexcept { return borrowed ? data->entries[e].cost : costs_[e]; } + [[nodiscard]] const std::shared_ptr& plan(std::size_t c) const noexcept { + return borrowed ? data->contexts[c].plan : plans_[c]; + } + // Entry e's root in its context's plan (-1 for a tunnel or a root the mask removed). + [[nodiscard]] std::int32_t root_of(std::size_t e) const noexcept { + if (!borrowed) return root_of_[e]; + const auto c = data->entries[e].context; + if (c < 0) return -1; + const auto& roots = data->contexts[static_cast(c)].root_entry; + if (e < roots.size() && static_cast(roots[e]) == e) return static_cast(e); // pooled + for (std::size_t r = 0; r < roots.size(); ++r) { + if (static_cast(roots[r]) == e) return static_cast(r); + } + return -1; + } + // View head h's surviving entries, ascending index. + [[nodiscard]] std::span head_entries(std::size_t h) const noexcept { + if (borrowed) return data->entries_of(h); + const auto b = static_cast(head_begin_[h]); + return {head_entries_.data() + b, static_cast(head_begin_[h + 1]) - b}; + } +}; + +// The view of `program` under the forwarding policy's mask `mask` (null: the program's own +// state, nothing replayed) with `dests` the allowed destinations (ascending), and the black holes +// `dark` (null or an all-allowed value: none; it must outlive the view). With `records`, every +// entry's route under the mask is made (a Pinned policy's record bundles); without, a tunnel's +// bundle stays null. +[[nodiscard]] ForwardingView make_view(const Graph& g, std::shared_ptr program, + const Eligibility* mask, std::span dests, + const Eligibility* dark, bool records = false); +// The same view with other black holes (the program, its replay and its structure shared). +[[nodiscard]] ForwardingView with_black_holes(const ForwardingView& view, const Eligibility* dark); + +// One entry's part of a forwarding: its share (assigned), what it delivered, what it lost at the +// source (a route without a member), what it carried and dropped per edge (ascending EdgeId, +// positive entries). +struct EntryFlow { + Amount assigned {0}; + Amount delivered {0}; + Amount lost {0}; + std::vector> carried {}; + std::vector> dropped {}; +}; + +// A forwarding's outcome: the heads' injections (offered; with captured weights all 0 a total +// can exceed it: the rest is lost at the sources, outside every head), lost at the sources, +// delivered; per view head its injection and (Lossy only: empty for Lossless, which loses +// nothing) the part it lost itself (black-holed, or no surviving entry of positive weight); per +// program entry its EntryFlow (zero for entries that receive nothing). +struct ProgramFlow { + Amount total {0}; + Amount offered {0}; + Amount source_loss {0}; + Amount delivered {0}; + std::vector head_offered {}; + std::vector head_lost {}; + std::vector entries {}; +}; + +// The free capacity of each of `edges` in the forwarding, into `out` (aligned; before black +// holes, which the engine applies): one call per evaluation, not per edge. +using FreeFn = std::function edges, std::span out)>; + +// The heads' injections of a total x: round robin over the heads, or highest averages over the +// captured weights. +void head_shares(const ForwardingView& view, Amount x, std::span out); +// The heads' increments when a cumulative 128-bit offer X grows by v (a Lossy place): RR(X + v) - +// RR(X) or H(X + v) - H(X), each below 2^62. +void head_increments(const ForwardingView& view, const Counter128& X, Amount v, std::span out); + +// Lossless: the largest total in [lo, hi] (hi nullopt: unbounded) whose no-drop forwarding fits +// `free`, with its loads; `lo` must fit. +[[nodiscard]] ProgramFlow lossless(const Graph& g, const ForwardingView& view, const FreeFn& free, Amount lo, + std::optional hi); +// Lossy: the loss rule over per-head injections (aligned with the view's heads) on `free`. +[[nodiscard]] ProgramFlow lossy(const Graph& g, const ForwardingView& view, const FreeFn& free, + std::span injections); + +#if NETGRAPH_CORE_PRIVATE_HOOKS +// Test controls (hooks builds only): how many cyclic groups the last lossy() on this thread +// iterated and its rounds; a corruption of the iterated result before its check (the check's +// planted fault: RuntimeError expected). +struct LossyCounters { + std::int64_t groups {0}; + std::int64_t rounds {0}; + bool corrupt {false}; +}; +LossyCounters& thread_lossy_counters() noexcept; +#endif + +} // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/int128.hpp b/include/netgraph/core/detail/int128.hpp index 66fb99f..5473acb 100644 --- a/include/netgraph/core/detail/int128.hpp +++ b/include/netgraph/core/detail/int128.hpp @@ -78,6 +78,18 @@ inline std::uint64_t div_u128(U128 n, std::uint64_t d) noexcept { #endif +// a + b and a - b (a >= b), exactly; the caller keeps a + b below 2^128. +inline U128 add(U128 a, U128 b) noexcept { + U128 r {a.hi + b.hi, a.lo + b.lo}; + if (r.lo < a.lo) ++r.hi; + return r; +} +inline U128 sub(U128 a, U128 b) noexcept { + U128 r {a.hi - b.hi, a.lo - b.lo}; + if (a.lo < b.lo) --r.hi; + return r; +} + // The number of significant bits of v (0 for 0). inline int bits(U128 v) noexcept { return v.hi != 0 ? 64 + std::bit_width(v.hi) : std::bit_width(v.lo); } @@ -88,6 +100,22 @@ inline U128 shl(U128 v, int k) noexcept { return {(v.hi << k) | (v.lo >> (64 - k)), v.lo << k}; } +// floor(n / d) for d > 0 and a quotient below 2^64 (a lower quota floor(I*w/W) with w <= W: at +// most I). A divisor below 2^64 takes div_u128 above; a larger one (a weight sum of 2^64 or more) +// the long division, one quotient bit per step from the highest that can be set. +inline std::uint64_t div_u128(U128 n, U128 d) noexcept { + if (d.hi == 0) return div_u128(n, d.lo); + std::uint64_t q = 0; + for (int s = bits(n) - bits(d); s >= 0; --s) { + const U128 ds = shl(d, s); + if (!(n < ds)) { + n = sub(n, ds); + q |= std::uint64_t {1} << s; + } + } + return q; +} + // A signed 128-bit integer in two's complement, value = hi * 2^64 + lo. The member order makes // the defaulted comparison (hi signed, then lo unsigned) the numeric order. struct I128 { diff --git a/include/netgraph/core/detail/kernels.hpp b/include/netgraph/core/detail/kernels.hpp index dace579..038c835 100644 --- a/include/netgraph/core/detail/kernels.hpp +++ b/include/netgraph/core/detail/kernels.hpp @@ -20,6 +20,7 @@ #include #include "netgraph/core/detail/traversal.hpp" +#include "netgraph/core/eligibility.hpp" #include "netgraph/core/graph.hpp" #include "netgraph/core/options.hpp" #include "netgraph/core/pred_dag.hpp" @@ -61,7 +62,7 @@ inline std::size_t round_robin(Amount total, std::span out) noexcept { // is its weight and a its allocation so far. Break ties by lower member index. Start each member // at its lower quota floor(total * w / W), where W is the weight sum; then assign the fewer than k // remaining units by those quotients, comparing with exact 128-bit cross products. Weights are -// >= 0 with W < 2^62, total < 2^63: a zero weight gets nothing, and all-zero weights give +// in [0, 2^62) (their sum is exact, any size), total < 2^63: a zero weight gets nothing, and all-zero weights give // nothing (out all 0). Equal positive weights give round robin. Increasing total never reduces // any member's allocation (house monotonicity). void highest_averages(Amount total, std::span weights, std::span out); @@ -69,12 +70,20 @@ void highest_averages(Amount total, std::span weights, std::span values {}; +}; struct KernelPlan { FlowPlacement placement {FlowPlacement::MaxFlow}; @@ -127,10 +136,11 @@ struct KernelPlan { std::vector store_ {}; }; -// The edges of `dag` that lie on some walk from `src` to the destination set (edges leaving a -// destination removed: destinations are terminal), ascending. +// The edges of `dag` that `elig` allows (every one when null) and that lie on some walk from +// `src` to the destination set (edges leaving a destination removed: destinations are terminal), +// ascending. [[nodiscard]] std::vector prune(const Graph& g, const PredDAG& dag, NodeId src, - std::span dsts); + std::span dsts, const Eligibility* elig = nullptr); // The minimum walk cost from `src` to the destination set over `route` (a record's bundle: // its route cost); kUnreachable when the route has no such walk. The split-graph builder's @@ -139,35 +149,39 @@ struct KernelPlan { std::span dsts); // The plan of a new flow on `route` (acyclic; the flow's DAG or path, its record's bundle), its -// membership captured on `creation_view` (aligned with the route's edges in ascending EdgeId: -// the view of the search that created the route; read only by a Weighted Residual membership, -// may be empty otherwise): MaxFlow and EqualBalanced every route edge (an edge of capacity 0 is -// a member that carries nothing: EqualBalanced still gives it its round-robin share), Weighted -// the edges of positive weight by `priority` (Residual: creation view >= 1 unit; Capacity: static -// capacity >= 1 unit) with the weights read from the same values; Lossy keeps its kernel's -// membership. The members are pruned to the walks from src to the destination set (none -// leaving a destination) and given their topological structure, in one pass. With `cost`, the -// route's minimum walk cost (route_cost) is computed in the same pass when every route edge is a -// member. `dsts` ascending and disjoint from src. +// Weighted weights from `weights` (WeightSource; its creation view aligned with the route's edges +// in ascending EdgeId): MaxFlow and EqualBalanced every route edge (an edge of capacity 0 is a +// member that carries nothing: EqualBalanced still gives it its round-robin share), Weighted the +// edges of positive weight, with those weights; Lossy keeps its kernel's membership. The members +// are pruned to the walks from src to the destination set (none leaving a destination) and given +// their topological structure, in one pass. With `cost`, the route's minimum walk cost +// (route_cost) is computed in the same pass when every route edge is a member. `dsts` ascending +// and disjoint from src. [[nodiscard]] KernelPlan make_plan(const Graph& g, FlowPlacement placement, Admission admission, - EdgePriority priority, NodeId src, std::span dsts, - const PredDAG& route, std::span creation_view, Cost* cost = nullptr); + const WeightSource& weights, NodeId src, std::span dsts, + const PredDAG& route, Cost* cost = nullptr); // The same plan with several roots (a CostOnly demand's pooled program): the members are pruned to // the walks from any root to the destination set; `roots` ascending and disjoint from `dsts`. [[nodiscard]] KernelPlan make_plan(const Graph& g, FlowPlacement placement, Admission admission, - EdgePriority priority, std::span roots, std::span dsts, - const PredDAG& route, std::span creation_view); - -// The usable route of a Pinned bundle as a plan: the bundle's edges that `elig` allows (every -// one when null), whatever their capacity, pruned to the walks from src to the destination set, -// with make_plan's membership: route == members for MaxFlow and EqualBalanced; Weighted with -// Capacity keeps the route edges of positive capacity on the walks that remain (its weights the -// capacities). It is the plan of every kernel whose membership is static; a Weighted Residual -// plan is made from its route at creation (make_plan). With `cost`, the usable route's minimum -// walk cost (kUnreachable when it is empty), computed in the same pass. -[[nodiscard]] KernelPlan make_route_plan(const Graph& g, FlowPlacement placement, Admission admission, - EdgePriority priority, NodeId src, std::span dsts, - const PredDAG& bundle, const Eligibility* elig, Cost* cost = nullptr); + const WeightSource& weights, std::span roots, + std::span dsts, const PredDAG& route); + +// The plan of a supplied split route (from_routes): `dag` pruned to the walks from `src` to the +// destination set (the plan's route, ascending), its members every route edge (EqualBalanced) or +// the route edges of positive weight (Weighted: `basis` with `edge_values` one entry per edge, the +// explicit weights or the residual snapshot; a weight on an edge of capacity 0 is 0 unless the +// basis is the snapshot), with `cost` the route's minimum walk cost. One pass over `dag`, and a +// second only when a Weighted route edge has weight 0. Equal to make_plan on the pruned route. +[[nodiscard]] KernelPlan make_route_plan(const Graph& g, FlowPlacement placement, WeightBasis basis, + std::span edge_values, NodeId src, + std::span dsts, const PredDAG& dag, Cost* cost); + +// A plan's replay under a mask (8.4): its members that `elig` allows (every one when null), pruned +// to the walks from `roots` (ascending) to `dsts` (ascending; the allowed destinations), with the +// members' frozen weights; members of capacity 0 stay (an EqualBalanced member keeps its share). +// The route is the plan's. +[[nodiscard]] KernelPlan restrict_plan(const Graph& g, const KernelPlan& plan, std::span roots, + std::span dsts, const Eligibility* elig); // ---------------------------------------------------------------- CostOnly creation @@ -188,7 +202,8 @@ struct CreationProducts { // all static shortest paths to sorted destinations `dsts`; start at `src` and apply selection // on `view`. The result matches support_route, bundle construction and make_plan: reuse // `support` if it is the whole route, otherwise build its bundle with PredDAGBuilder::of_edges. -// Requires multipath and static membership (all kernels except Weighted with Residual). +// Requires multipath and static membership (all kernels except Weighted with ResidualSnapshot +// weights; a Weighted route edge of weight 0 also returns nullopt). // While building, check: every route edge can be a member; none leaves a destination; every // route node reaches a destination; the source is first in topological order; no cycle exists; // and each tail's members are consecutive. These checks ensure members == route. @@ -198,7 +213,8 @@ struct CreationProducts { const std::shared_ptr& support, NodeId src, std::span dsts, const PathSelection& selection, PriorityFn view, - FlowPlacement placement, Admission admission); + FlowPlacement placement, Admission admission, + const WeightSource& weights); // ---------------------------------------------------------------- allocation diff --git a/include/netgraph/core/detail/ledger_access.hpp b/include/netgraph/core/detail/ledger_access.hpp index aa91acf..39323af 100644 --- a/include/netgraph/core/detail/ledger_access.hpp +++ b/include/netgraph/core/detail/ledger_access.hpp @@ -46,6 +46,12 @@ struct LedgerAccess { // before a publication step that cannot throw. Returns the FlowIds of the new records in // draft order. The drafts' vectors are moved from. static std::vector commit(FlowLedger& fg, std::int64_t owner, std::span drafts); + // The exchange of replace() and forward(): every live record of the owner is retired (its + // allocation reverted, its id never live again) and `drafts` (new records only) are created, in + // one atomic step with commit's checks and guarantee. Returns the new FlowIds in draft order. + static std::vector exchange(FlowLedger& fg, std::int64_t owner, std::span drafts); + // commit (retire false) and exchange (retire true). + static std::vector commit_drafts(FlowLedger& fg, std::int64_t owner, std::span drafts, bool retire); // A live record by id (throws std::invalid_argument for an unknown or retired id). [[nodiscard]] static const FlowRecord& live(const FlowLedger& fg, std::int64_t id); // The working residual baseline - allocated into `out` (resized to E). diff --git a/include/netgraph/core/detail/policy_engine.hpp b/include/netgraph/core/detail/policy_engine.hpp index ea15e7a..73c6b89 100644 --- a/include/netgraph/core/detail/policy_engine.hpp +++ b/include/netgraph/core/detail/policy_engine.hpp @@ -6,15 +6,18 @@ #include #include #include +#include #include #include #include +#include "netgraph/core/detail/forwarding.hpp" #include "netgraph/core/detail/kernels.hpp" #include "netgraph/core/flow_ledger.hpp" #include "netgraph/core/flow_policy.hpp" #include "netgraph/core/flow_record.hpp" #include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/program.hpp" namespace netgraph::core::detail { @@ -24,24 +27,37 @@ struct DeletionCapture; // cumulative T of a Lossless flow; edges; Lossy offered and drops); the plan is frozen at the // flow's creation (and replaced by an adopted reroute). The flows of CostOnly and Global are // one per roster source and have no plan of their own (CostOnly's sources share the epoch's -// program). +// program); a Pinned policy's are one per program entry (`entry`), without a plan. struct LiveFlow { std::int64_t id {-1}; NodeId src {0}; std::shared_ptr plan {}; std::shared_ptr bundle {}; Cost cost {kUnreachable}; - std::int32_t bundle_index {-1}; // Pinned: the supplied bundle + std::int32_t entry {-1}; }; -// One supplied Pinned bundle prepared at construction: its usable route (static eligibility, -// whatever the capacities, pruned to the src -> dst walks) as the plan of every -// static-membership kernel, its cost, and the record bundle (the supplied DAG itself when nothing -// was pruned). -struct PreparedPinnedBundle { - std::shared_ptr route_plan {}; - Cost cost {kUnreachable}; - std::shared_ptr route_dag {}; +// The state accumulated since construction or the last remove(), replace() or forward() (the +// policy epoch): a value, so a full-offer call builds its own and publishes it whole. +struct Epoch { + // The live flows: per roster index (CostOnly and Global: one per source; CapacityAware: its + // flows, in FlowId order), or per program entry (Pinned). + std::vector> cohorts {}; + // The installed program (null before the first preparation and for CapacityAware). + std::shared_ptr program {}; + // CostOnly MaxFlow: the union of the roster's routes, the controller's support (ascending). + std::vector support {}; + // Unrestricted Global with the optimized origin: the cumulative marginal curve of the last solve + // (absent before one, and after a forward). + std::optional>> curve {}; + // Pinned, Lossy: per view head, the shares it lost itself (black-holed, no surviving entry). + std::vector head_lost {}; + // The by_tunnel rows of the state (a zero call reports them). + std::vector by_tunnel {}; + Counter128 requested {}; + Counter128 offered {}; // Lossy: the traffic sent (with an empty roster: lost at the sources) + bool infinite {false}; + bool prepared {false}; // the epoch's first positive call (or a full-offer call) has run }; struct PolicyEngine { @@ -49,9 +65,9 @@ struct PolicyEngine { FlowLedger& fg; std::shared_ptr graph {}; - FlowPolicyConfig config; // validated, origin and selection resolved - PathSelection selection {}; // *config.selection, or the default for Global (unread) - Origin origin {Origin::Equal}; // *config.origin, or Equal for Pinned (one source) + FlowPolicyConfig config; // validated, origin, selection and weights resolved + PathSelection selection {}; // *config.selection, or the default for Global and Pinned (unread) + Origin origin {Origin::Equal}; // *config.origin, or Equal for Pinned (unread) const Eligibility* elig {nullptr}; std::vector sources {}; // the normalised sets std::vector destinations {}; @@ -59,21 +75,19 @@ struct PolicyEngine { std::vector roster {}; // fixed at construction, ascending std::vector baseline {}; // CapacityAware with a Stretch ceiling only: the static shortest // cost per roster source (empty otherwise) - std::shared_ptr support {}; // CostOnly: the full static support - std::vector bundles {}; // Pinned - std::vector usable {}; // Pinned: indices of usable bundles + std::shared_ptr support {}; // CostOnly: the full static support + // Global with a support: the trimmed support (ascending), shared with its programs' replay basis. + std::shared_ptr> global_support {}; + // Unrestricted Global: the mask's excluded nodes and edges (ascending), its programs' replay basis. + std::vector excluded_nodes {}; + std::vector excluded_edges {}; + // Pinned: its program as this policy forwards it (the replay under the mask, the black holes), + // and whether any head can place traffic (some head with a positive injection weight and a + // surviving entry of positive weight with a usable route). + ForwardingView view {}; + bool active {false}; std::int64_t owner {0}; - // State accumulated since construction or the last remove() (the policy epoch). - std::vector> cohorts {}; // per roster index, in FlowId order - // CostOnly: the epoch's pooled program over the roster (EqualBalanced and Weighted), or the - // union of the roster's routes (MaxFlow), prepared at the epoch's first positive call. - std::shared_ptr program {}; - std::vector program_edges {}; - std::vector> curve {}; // Global, optimized origin: the cumulative marginal curve - Counter128 requested {}; - Counter128 offered {}; // Lossy: the traffic sent (with an empty roster: lost at the sources) - bool infinite {false}; - bool prepared {false}; // the epoch's first positive call has run + Epoch epoch {}; // Global: a capture request for the next solve's final state (the exact sensitivity model's // baseline); set and cleared by the evaluator. DeletionCapture* capture {nullptr}; @@ -95,15 +109,22 @@ struct PolicyAccess { // The configuration checks of FlowPolicy, shared with the evaluators' argument checks, in // FlowPolicyConfig's order (the enumeration values, the model's row, the DagCache: `cache` says -// whether one is supplied, CapacityAware's parameters); returns its selection and origin with an -// absent one resolved (nothing else is copied). Then, with the normalized endpoint counts, Pinned's -// single endpoints and the pooled single-path rule (check_source_count: an absent selection is -// PathSelection(), multipath, so it reads the configuration resolved or not alike). +// whether one is supplied, CapacityAware's parameters, edge_weights' length and entries against +// `num_edges`); returns its selection, origin and weights with an absent one resolved (nothing else +// is copied). Then, with the normalized endpoint counts, the pooled single-path rule +// (check_source_count: an absent selection is PathSelection(), multipath, so it reads the +// configuration resolved or not alike). struct ResolvedAxes { std::optional selection; std::optional origin; + std::optional weights; }; -[[nodiscard]] ResolvedAxes resolve_config(const FlowPolicyConfig& cfg, bool cache); +[[nodiscard]] ResolvedAxes resolve_config(const FlowPolicyConfig& cfg, bool cache, std::int32_t num_edges); void check_source_count(const FlowPolicyConfig& cfg, std::size_t num_sources, std::size_t num_destinations); +// forward()'s first checks, before its offer is read (the binding runs them before converting +// it): `Pinned forwards with replace`, then `forward requires an installed program`. +void check_forward_operation(const PolicyEngine& pe); +// The model's name in messages: CostOnly, Global, T1 (CapacityAware) or Pinned. +[[nodiscard]] const char* model_name(const Routing& r) noexcept; } // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/private_hooks.hpp b/include/netgraph/core/detail/private_hooks.hpp index 3c9c393..4b015fa 100644 --- a/include/netgraph/core/detail/private_hooks.hpp +++ b/include/netgraph/core/detail/private_hooks.hpp @@ -40,6 +40,12 @@ std::atomic& max_flows_per_call() noexcept; PlacementResult place_traced(FlowPolicy& policy, std::optional volume, const OutputOptions& outputs, Trace& trace, const std::function* staged = nullptr); +// Any call of a policy with a `staged` callback (place_traced's, without the trace): it runs once +// the result is final and before anything is published (evaluate: before it returns). +enum class CallKind { Place, Evaluate, Replace, Forward }; +PlacementResult call_staged(FlowPolicy& policy, CallKind kind, std::optional offer, const Eligibility* black_holes, + const OutputOptions& outputs, const std::function* staged); + } // namespace netgraph::core::detail #endif diff --git a/include/netgraph/core/detail/program_data.hpp b/include/netgraph/core/detail/program_data.hpp new file mode 100644 index 0000000..75aeab1 --- /dev/null +++ b/include/netgraph/core/detail/program_data.hpp @@ -0,0 +1,182 @@ +/* The inside of a ForwardingProgram (internal): its entries, split contexts, injection and replay + basis, the builders the models use, and the comparisons of the change flags. The public value + (program.hpp) shows only the endpoints, the tunnels and the source weights. */ +#pragma once + +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/kernels.hpp" +#include "netgraph/core/eligibility.hpp" +#include "netgraph/core/graph.hpp" +#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/program.hpp" + +namespace netgraph::core::detail { + +// One entry: a tunnel (tunnels()[tunnel]) or a split route (a root of contexts[context]). `slot` +// is the head's position in the roster; `bundle` the entry's route as a DAG (a split route's +// edges before weight pruning; null for a tunnel, whose path the record's bundle is made from when a +// Pinned policy needs it) and `cost` its minimum walk cost. +struct ProgramEntry { + std::int32_t index {0}; + NodeId head {0}; + std::int32_t slot {0}; + std::int32_t local_index {0}; + Amount weight {0}; + std::int32_t tunnel {-1}; + std::int32_t context {-1}; + std::shared_ptr bundle {}; + Cost cost {kUnreachable}; +}; + +// A split context: one plan whose roots are the heads it serves (a CostOnly program: the whole +// roster, pooled; a supplied split route: its head alone), and per root the entry it carries. +// `route` (ascending) is the context's edges before weight pruning, the replay basis of its +// members. +struct SplitContext { + std::shared_ptr plan {}; // its route: the context's edges before weight pruning + // Per plan root: its entry's position in entries (every root has one), in the program's block + // (lay_out). + std::span root_entry {}; +}; + +struct ProgramData { + ProgramData() = default; + // The lists below are views of the data's own block (lay_out): a copy would read the + // original's block, so there is none; a move keeps the block and with it the views. + ProgramData(const ProgramData&) = delete; + ProgramData& operator=(const ProgramData&) = delete; + ProgramData(ProgramData&&) noexcept = default; + ProgramData& operator=(ProgramData&&) noexcept = default; + ~ProgramData() = default; + + std::uint64_t graph_uid {0}; + std::span sources {}; // ascending + std::span destinations {}; // ascending + std::vector tunnels {}; + std::optional>> source_weights {}; + // The injection: the roster (the heads with an entry, ascending), its captured weights (empty: + // equal sources), every entry in ascending index, per roster slot its entries (ascending index). + std::span roster {}; + std::vector head_weight {}; + std::vector entries {}; + // Per roster slot its entries (entries_of): slot s's are slot_entries[slot_first[s]..slot_first[s+1]), + // ascending index; both empty for a pooled program. + std::span slot_first {}; + std::span slot_entries {}; + std::span tunnel_entry {}; // per tunnel: its entry + std::vector contexts {}; + // The replay basis (8.4): the topology under the producer's exclusions (topology: unrestricted + // Global), or per roster slot the edges of its original routes (basis_parts). + bool topology {false}; + std::span excluded_nodes {}; // ascending + std::span excluded_edges {}; // ascending (an edge whose endpoint is excluded included) + std::shared_ptr> common_basis {}; // every slot's (a supported Global) + std::vector> slot_routes {}; // per slot its route (CostOnly MaxFlow) + // A slot's replay basis as edge sets, appended to `out` (each ascending, except a tunnel's path, + // in walk order: `second` false): the shared route or edge set above, else (supplied and CostOnly + // split programs) the slot's own entries' routes: a tunnel's edges, a split route's bundle (its + // edges before weight pruning). Nothing is copied. + void basis_parts(std::size_t slot, std::vector, bool>>& out) const; + // One pooled context carries every entry: a single context whose roots are the roster, one entry + // of positive weight per head, equal sources (a CostOnly program; a supplied program of one + // split route of positive weight). Its forwarding is the plan's own kernels. + bool pooled {false}; + // A slot's entries, ascending index: a pooled program's slot carries the one entry its context + // root carries (no per-slot lists are kept). + [[nodiscard]] std::span entries_of(std::size_t slot) const noexcept { + if (pooled) return {&contexts.front().root_entry[slot], 1}; + const auto first = static_cast(slot_first[slot]); + return {slot_entries.data() + first, static_cast(slot_first[slot + 1]) - first}; + } + // The last step of every producer, after its entries, tunnels, contexts and `pooled` are set: + // the lists above copied into one block (one allocation; a failure leaves the data without + // lists, to be discarded), the roster (given, or the entries' heads, ascending and distinct), + // each entry's slot and local index (its position among its slot's entries), each tunnel's + // local index, the per-slot lists (a stable counting sort by slot), the per-tunnel entries and + // each context's root entries (the entry whose head is the root). + void lay_out(std::span sources, std::span destinations, + std::optional> roster, std::span excluded_nodes = {}, + std::span excluded_edges = {}); + // The block the lists view (the ownership tests). + [[nodiscard]] std::span block() const noexcept { return store_; } + +private: + std::vector store_ {}; +}; + +// A program and its data in one allocation (ProgramAccess::make). +struct ProgramBlock { + explicit ProgramBlock(ProgramData&& d) : data(std::move(d)), program(&data) {} + ProgramData data; + ForwardingProgram program; +}; + +struct ProgramAccess { + [[nodiscard]] static const ProgramData& data(const ForwardingProgram& p) noexcept { return *p.data_; } + [[nodiscard]] static std::shared_ptr make(ProgramData&& data); +}; + +// A controller's path (Global, CostOnly MaxFlow): its source's roster position, its edges in walk +// order, its amount. +struct ControllerPath { + std::int32_t slot {0}; + std::vector edges {}; + Amount amount {0}; +}; + +// A controller program's replay basis: the topology under the producer's exclusions (its excluded +// nodes and edges, ascending), per roster source its route, or one edge set for every source +// (both shared, not copied). +struct ControllerBasis { + bool topology {false}; + std::span excluded_nodes {}; + std::span excluded_edges {}; + std::vector> per_source {}; + std::shared_ptr> common {}; +}; + +// The program of a controller: one tunnel per path in decomposition order (index = position), +// weight = amount; captured weights `supplies` (per roster source, optimized) or equal sources +// (empty). +[[nodiscard]] std::shared_ptr controller_program( + const Graph& g, std::span sources, std::span destinations, + std::span roster, std::vector paths, std::span supplies, + ControllerBasis basis); + +// The program of a CostOnly split demand: one split route per roster source in the one pooled +// context `plan` (rooted at the roster); `entries` one per roster source in roster order (its +// record bundle, the source's route before weight pruning and its replay basis, and its route cost +// set; index, slot, weight 1 and context are set here). +[[nodiscard]] std::shared_ptr cost_only_program( + const Graph& g, std::span sources, std::span destinations, + std::span roster, std::shared_ptr plan, std::vector entries); + +// The empty program of an empty roster (no entry). +[[nodiscard]] std::shared_ptr empty_program(std::uint64_t graph_uid, + std::span sources, + std::span destinations, + bool captured); + +// The change flags of 10.4 between an old program (null: none) and a new one: routes (the ordered +// heads, the entries' kinds and routes, split tables, duplicates) and weights (the injection, every +// entry and split-table weight). Two programs without an entry are equal. +struct ProgramChange { + bool routes {false}; + bool weights {false}; +}; +[[nodiscard]] ProgramChange compare_programs(const ForwardingProgram* before, const ForwardingProgram* after) noexcept; + +// Validation of from_routes' options before any route is read (steps 3 to 5 of the order: options +// on a list of paths only, the placement, the weights' combination), shared with the binding, +// which reads the entries of edge_weights and residual itself after these checks. +void check_route_options(bool any_dag, std::optional placement, std::optional weights, + bool edge_weights, bool residual); + +} // namespace netgraph::core::detail diff --git a/include/netgraph/core/evaluators.hpp b/include/netgraph/core/evaluators.hpp index 80592c3..3eaef58 100644 --- a/include/netgraph/core/evaluators.hpp +++ b/include/netgraph/core/evaluators.hpp @@ -5,6 +5,7 @@ #pragma once #include +#include #include #include #include @@ -16,14 +17,21 @@ namespace netgraph::core { -// The options of every evaluator: the configuration, the static Eligibility, the DagCache and the -// optional outputs of each result (sensitivity: of its baseline). The Eligibility and the cache -// outlive the call. +// The options of every evaluator: the configuration, the static Eligibility, the DagCache, the +// optional outputs of each result (sensitivity: of its baseline) and `offered`, the offer of a +// Pinned Lossy evaluation (absent: none; the inner nullopt is +inf, which its rule rejects). The +// Eligibility and the cache outlive the call. +// | model | Lossless | Lossy | +// | CostOnly EqualBalanced/Weighted | the uncapped bound (no offered) | the first-hop experiment (no offered) | +// | CostOnly MaxFlow, Global | the uncapped optimum (no offered) | rejected | +// | CapacityAware | the uncapped placement (no offered) | rejected | +// | Pinned | the fixed-program bound (no offered) | offered required and finite | struct QueryOptions { FlowPolicyConfig config; const Eligibility* elig {nullptr}; DagCache* cache {nullptr}; OutputOptions outputs {}; + std::optional> offered {}; }; // One candidate edge: loss = baseline placed - placed without the edge (signed, in units, never @@ -42,7 +50,11 @@ struct SensitivityResult { // hits count when it returns; a failed call changes no statistic, except one miss when it raises // DagCacheMiss. -// place(+inf) of a FlowPolicy with opts.config on a fresh ledger of g (its capacities). +// place(+inf) of a FlowPolicy with opts.config on a fresh ledger of g (its capacities); Pinned +// Lossy: place(offered). `offered` is checked after the policy's construction: an amount in [0, +// 2^62) or +inf; a Lossless model rejects it (` LOSSLESS capacity does not accept +// offered`), CostOnly Lossy too (`CostOnly LOSSY capacity uses first-hop injection`), and Pinned +// Lossy requires it finite (`Pinned LOSSY capacity requires finite offered`). [[nodiscard]] PlacementResult capacity(const Graph& g, std::span sources, std::span destinations, const QueryOptions& opts); @@ -50,8 +62,8 @@ struct SensitivityResult { // per_pair_elig[i]; null entries are allowed, and an empty span supplies no per-pair values. // The Python binding checks the length of every supplied sequence. // Before starting workers, validate in order: workers >= 1; opts.elig's and the cache's graph; -// a supplied building cache with workers > 1; Pinned (rejected because bundles bind endpoints); -// the configuration; and per_pair_elig's length. Then validate each pair completely in index +// a supplied building cache with workers > 1; Pinned (rejected: a program has fixed endpoints); +// the configuration; offered (the rule of capacity); and per_pair_elig's length. Then validate each pair completely in index // order: endpoint sets, overlap, Eligibility's graph, the pooled single-path rule for its sources. // This reports the lowest failing pair index. // A supplied building cache requires workers == 1 because it allows one writer. Workers share @@ -66,14 +78,15 @@ struct SensitivityResult { const Graph& g, const std::vector, std::vector>>& pairs, const QueryOptions& opts, std::span per_pair_elig, std::int32_t workers); -// Return baseline capacity() and one entry per candidate edge. Global candidates with the -// optimized origin carry positive baseline flow; otherwise every edge opts.elig allows, whatever +// Return baseline capacity() and one entry per candidate edge. Unrestricted Global candidates with +// the optimized origin carry positive baseline flow; otherwise every edge opts.elig allows, whatever // its capacity (deleting an edge of capacity 0 can change routes and rosters, so its loss can be // nonzero; with the equal origin, a deletion that removes a source from the roster can raise the // total, a negative loss). Loss is baseline placed minus placed with that edge deleted, using the -// same config and cache. Optimized Global starts from the baseline solve's final state and repairs -// it after deleting the edge, using one state copy per worker. The result is the exact maximum -// flow at minimum cost. +// same config, offered and cache. Unrestricted optimized Global starts from the baseline solve's +// final state and repairs it after deleting the edge, using one state copy per worker. The result +// is the exact maximum flow at minimum cost. Global with a support solves every deletion afresh; +// Pinned replays the same program under each deletion (a fixed-route failure question). // CostOnly skips a deletion when no roster source's reachable part of the static shortest-path // support contains the edge: no route uses it, so loss is 0. All other deletions use a fresh // ledger. A failed deletion fails the call (no partial result), raising the exception of the diff --git a/include/netgraph/core/flow_policy.hpp b/include/netgraph/core/flow_policy.hpp index 96bfd57..2179d5f 100644 --- a/include/netgraph/core/flow_policy.hpp +++ b/include/netgraph/core/flow_policy.hpp @@ -15,6 +15,7 @@ #include "netgraph/core/graph.hpp" #include "netgraph/core/options.hpp" #include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/program.hpp" #include "netgraph/core/types.hpp" namespace netgraph::core { @@ -44,16 +45,24 @@ struct DiminishingReturns { // path), prepared once per epoch and never refreshed, grown or reoptimised. The sources of // the demand are pooled: a router shared by several sources adds their traffic and splits it // once. EqualBalanced and Weighted forward the equal origin; MaxFlow is a controller -// restricted to the union of those routes. +// restricted to the union of those routes. Its program: one split route per roster source, +// pooled into one split context (EqualBalanced, Weighted), or the controller's paths (MaxFlow). // CapacityAware: flow_count flows per source found by shortest-path searches that require // enough unused capacity on each edge. Grow up to max_flow_count (absent: no ceiling), subject // to min_flow_bandwidth (units) and max_path_cost. Rerouting is optional; `diminishing` -// stops growth when recent gains are too small (absent: off). Its sources are not pooled. -// Global: the ideal controller, a minimum-cost maximum flow over the whole eligible graph of -// what the policy already delivers plus this call's request (placed_demand() + volume: what an -// earlier call could not place is not requested again). -// Pinned: one flow per usable supplied route bundle (a walk survives the Eligibility, whatever -// the capacities), in supply order; single endpoints only. Convert a Path with to_dag(). +// stops growth when recent gains are too small (absent: off). Its sources are not pooled. It +// has no program (until its tunnel form exists). +// Global: the ideal controller, a minimum-cost maximum flow over the whole eligible graph, or +// exactly over `support` (a DAG of the policy's graph, trimmed to the walks from the sources to +// the allowed destinations under the Eligibility), of what the policy already delivers plus this +// call's request (placed_demand() + volume: what an earlier call could not place is not +// requested again). Its program: the solved flow cut into paths per source, each path a tunnel +// weighted by its amount. +// Pinned: forwarding over a given program, computing nothing; the program's endpoints are the +// policy's. Its Eligibility repairs failures (a tunnel touching an excluded element is Failed, a +// split route loses its excluded members, the roster is rebuilt from the program's basis); the +// nodes and edges `black_holes` excludes are black holes (stale forwarding: the program is +// forwarded unchanged and traffic reaching one is dropped there). One record per program entry. struct CostOnly {}; struct CapacityAware { std::int32_t flow_count {1}; @@ -63,37 +72,46 @@ struct CapacityAware { bool reoptimize {false}; std::optional diminishing {}; }; -struct Global {}; +struct Global { + std::shared_ptr support {}; +}; struct Pinned { - std::vector> bundles {}; + std::shared_ptr program {}; + std::shared_ptr black_holes {}; }; using Routing = std::variant; // One demand's settings. A field that does not apply to the routing mode stays absent; a policy // or an evaluator checks the combination when it uses the configuration (the fields remain // assignable), in this order: the enumeration values, then the model's row of the matrix below, -// its columns left to right (placement, origin, admission, selection), then the DagCache, then -// CapacityAware's own parameters, then the pooled single-path rule. +// its columns left to right (placement, origin, admission, selection, weights with edge_weights), +// then the DagCache, then CapacityAware's own parameters, then edge_weights' length and entries, +// then the pooled single-path rule. // -// | routing | placement | origin (default / allowed) | admission | selection | -// | CostOnly | EqualBalanced, Weighted | Equal / Equal | Lossless, Lossy | all four fields | -// | CostOnly | MaxFlow | Optimized / both | Lossless | all four fields | -// | Global | none | Optimized / both | Lossless | none | -// | CapacityAware | required (all three) | Equal / Equal | Lossless | all four fields | -// | Pinned | required (all three) | none | Lossless; Lossy | priority (Weighted) | +// | routing | placement | origin (default / allowed) | admission | selection | weights | +// | CostOnly | EqualBalanced | Equal / Equal | Lossless, Lossy | all four fields | none | +// | CostOnly | Weighted | Equal / Equal | Lossless, Lossy | all four fields | Capacity (default), Explicit, ResidualSnapshot | +// | CostOnly | MaxFlow | Optimized / both | Lossless | all four fields | none | +// | Global | none | Optimized / both | Lossless | none | none | +// | CapacityAware | required (all three) | Equal / Equal | Lossless | all four fields | none | +// | Pinned | none | none (the program has it) | Lossless, Lossy | none | none | // // An absent origin resolves to the default and an absent selection to PathSelection() in the -// policy's snapshot (config()). Only CostOnly reads a DagCache; another model rejects one. Weighted takes its weights from -// selection.priority (Capacity or Residual; Headroom is rejected). Pooled single-path rule: -// CostOnly with more than one input source (normalized, before any Eligibility) rejects -// multipath = false together with PreferHigherPriority, whose bottleneck choice would differ per -// source at a shared router. +// policy's snapshot (config()); an absent weights of CostOnly Weighted resolves to Capacity. Only +// CostOnly reads a DagCache; another model rejects one. edge_weights (one integer per edge in +// [0, 2^62), shared by every configuration copied from this one) is given exactly when weights is +// Explicit. CapacityAware's Weighted flows take their weights from selection.priority (Capacity +// or Residual; Headroom is rejected). Pooled single-path rule: CostOnly with more than one input +// source (normalized, before any Eligibility) rejects multipath = false together with +// PreferHigherPriority, whose bottleneck choice would differ per source at a shared router. struct FlowPolicyConfig { Routing routing {CostOnly {}}; std::optional placement {}; Admission admission {Admission::Lossless}; std::optional selection {}; std::optional origin {}; + std::optional weights {}; + std::shared_ptr> edge_weights {}; }; // Optional outputs of a placement (absent unless requested): edge_flows (this policy's own @@ -108,11 +126,13 @@ struct OutputOptions { // The call's outcome, the first that applies: Complete for a zero request; NoRoute for a // positive request with an empty roster (no eligible source statically reaches an allowed -// destination); NoActiveWeight when routes exist but none has a positive weight (Weighted over -// edges of capacity 0 only); a Lossy finite request: Complete (delivery and losses account for -// the whole offer, which does not mean nothing was lost); otherwise Complete when the whole -// request was delivered, else Exhausted (an infinite request is Exhausted). A controller whose -// maximum is 0 over existing routes is Exhausted, not NoRoute. +// destination); NoActiveWeight when routes exist but no roster source has both a positive +// injection weight and an entry of positive weight with a usable route (Weighted over edges of +// capacity 0 only, all entry weights 0, every remaining captured weight 0); a Lossy finite +// request: Complete (delivery and losses account for the whole offer, which does not mean nothing +// was lost); otherwise Complete when the whole request was delivered, else Exhausted (an infinite +// request is Exhausted). A controller whose maximum is 0 over existing routes is Exhausted, not +// NoRoute. // CapacityAware alone reduces per-source outcomes instead: a source is served when its offer is // 0 or delivered; an unserved source's outcome is LimitFlows (creation or growth hit // kMaxFlowsPerCall, or growth hit max_flow_count > flow_count), else LimitDiminishing (the @@ -135,29 +155,51 @@ struct SourceFlow { friend bool operator==(const SourceFlow&, const SourceFlow&) = default; }; +// One program tunnel's forwarding in the epoch: its entry identifier and head, its status in this +// forwarding (Up, Failed, Blackholed), assigned (its share of the injections: Lossy the shares sent +// to it, Lossless what it carries), delivered and dropped (its losses on links). +struct TunnelFlow { + std::int32_t index {0}; + NodeId head {0}; + TunnelStatus status {TunnelStatus::Up}; + Counter128 assigned {}; + Amount delivered {0}; + Counter128 dropped {}; + friend bool operator==(const TunnelFlow&, const TunnelFlow&) = default; +}; + // The result of one call: this call's values, then the demand's state after it (totals of the // epoch), then the optional outputs. -// This call: placed (units delivered by the call), remaining = request - placed (nullopt for -// +inf), delivery_delta (new minus old delivery: placed for a placement), call_drops (this call's -// drops per edge, ascending EdgeId), call_source_loss, termination and the change flags. -// routes_changed means a group of flows was created (even at zero delivery: CostOnly prepares -// every roster source's route at the epoch's first positive call), a retained flow was rerouted, -// growth added a flow, or Global changed a source's used-edge set; weights_changed means a -// rerouted Weighted flow captured its weights again. A candidate equal to the current route is not -// a change. -// State: requested (the sum of the requests; nullopt after +inf), offered (Lossy only: the -// traffic actually sent; the first-hop injection of a Lossy +inf), admitted (Lossless: the total -// carried; Lossy: offered), delivered, unadmitted (Lossless: requested - delivered, nullopt after -// +inf; Lossy: 0), source_loss and drops (per edge). Lossy: offered = source_loss + sum(drops) + -// delivered. by_source has one row per normalized input source in ascending NodeId; the rows sum -// to the totals except for Lossy with an empty roster, where the whole offer is source loss of -// the demand and every row is zero. total_cost (controllers: Global and CostOnly MaxFlow) is the -// exact sum of cost * flow over the policy's allocation (below 2^124). -// cost_distribution: Global with the optimized origin only, the cumulative marginal cost curve: -// (cost, units) pairs in ascending cost, where delivering `units` more units raised the minimum -// total cost of the flow by `cost` per unit (more delivery can reroute flow already placed, so the -// pairs are not the costs of the paths in the final allocation); empty for an empty roster, and -// absent before the epoch's first positive call. +// This call: placed (units delivered by the call; replace, forward and evaluate: the full new +// delivery), remaining = request - placed (nullopt for +inf), delivery_delta (new minus old +// delivery; placed for a placement, may be negative for replace), call_drops (this call's drops +// per edge, ascending EdgeId), call_source_loss, termination and the change flags, which compare +// the program before and after the call ("no program" is the empty program; two programs without +// an entry are equal): routes_changed the ordered heads, paths, split tables and duplicates; +// weights_changed the injection (the source weights) and every entry and split-table weight. An +// offer-only change to a program that is not recomputed (forward, Pinned, CostOnly increments) +// sets neither; a controller's re-solve that changes a path's amount is a weight change; an +// identical replace sets neither. CapacityAware (no program): routes_changed means a group of +// flows was created, a retained flow was rerouted or growth added a flow; weights_changed that a +// rerouted Weighted flow captured its weights again. A candidate equal to the current route is +// not a change. +// State: program (the installed program after the call; evaluate: the computed one; null before +// the epoch's first preparation and for CapacityAware), requested (the sum of the requests; +// nullopt after +inf), offered (Lossy only: the traffic actually sent; the first-hop injection of a +// Lossy +inf), admitted (Lossless: the total carried; Lossy: offered), delivered, unadmitted +// (Lossless: requested - delivered, nullopt after +inf; Lossy: 0), source_loss and drops (per +// edge). Lossy: offered = source_loss + sum(drops) + delivered. by_source has one row per +// normalized input source in ascending NodeId; the rows sum to the totals except for Lossy with an +// empty roster, where the whole offer is source loss of the demand and every row is zero. +// by_tunnel has one row per program tunnel in ascending index (empty without tunnels); it is an +// alternative view of the same traffic, never added to by_source. total_cost (controllers: Global +// and CostOnly MaxFlow) is the exact sum of cost * flow over the policy's allocation (below 2^124). +// cost_distribution: unrestricted Global with the optimized origin only, the cumulative marginal +// cost curve: (cost, units) pairs in ascending cost, where delivering `units` more units raised the +// minimum total cost of the flow by `cost` per unit (more delivery can reroute flow already placed, +// so the pairs are not the costs of the paths in the final allocation); empty for an empty roster, +// and absent before the epoch's first positive call. Optional outputs describe the same state as +// the rest of the result (evaluate: the evaluated state). struct PlacementResult { Amount placed {0}; std::optional remaining {}; @@ -167,6 +209,7 @@ struct PlacementResult { Termination termination {Termination::Complete}; bool routes_changed {false}; bool weights_changed {false}; + std::shared_ptr program {}; std::optional requested {}; std::optional offered {}; Counter128 admitted {}; @@ -175,50 +218,69 @@ struct PlacementResult { Counter128 source_loss {}; std::vector> drops {}; std::vector by_source {}; + std::vector by_tunnel {}; std::optional total_cost {}; std::optional>> cost_distribution {}; std::optional> edge_flows {}; std::optional> residual {}; std::optional> bottleneck {}; - // Requested by OutputOptions::min_cut; Global with the optimized origin only, when the solve - // reached the maximum flow: the edges leaving the set of nodes the roster sources reach through - // residual arcs (free capacity plus this policy's own load, reverse arcs that cancel flow + // Requested by OutputOptions::min_cut; unrestricted Global with the optimized origin only, when + // the solve reached the maximum flow: the edges leaving the set of nodes the roster sources reach + // through residual arcs (free capacity plus this policy's own load, reverse arcs that cancel flow // included), whatever their free capacity (an allowed edge of capacity 0 is listed; an excluded // edge is not an edge here), ascending EdgeId. That is the minimum cut closest to the sources; an - // empty roster returns an empty cut. nullopt otherwise (another model, the equal origin, a call - // below the maximum, a zero call). + // empty roster returns an empty cut. nullopt otherwise (another model, the equal origin, a + // support, a call below the maximum, a zero call, forward). std::optional> min_cut {}; }; -// A policy binds to its ledger at construction. place() validates, then computes on working -// copies and commits all changes together, or none. CostOnly prepares its routes at the epoch's -// first positive call (every roster source's shortest routes on the ledger's residual at that -// call's entry) and keeps them for the epoch; EqualBalanced and Weighted forward the equal origin -// over the pooled routes: Lossless admits the largest total a in [admitted, admitted + volume] -// whose no-drop forwarding fits (a refused unit is not offered again), Lossy forwards the new -// round-robin injections on the residual at call entry (earlier drops are not offered again). -// The controllers (Global, CostOnly MaxFlow) re-solve admitted + volume from zero on the -// residual plus their own allocation; the equal origin admits the largest total whose round-robin -// supplies are all carried. CapacityAware and Pinned run per source (stages of creation, -// reoptimisation, amounts and growth). remove() releases every policy flow, retires their ids and -// starts a new epoch: the period since construction or the last remove() over which requests and -// flows accumulate. Destroying a policy without remove() leaves its records in the ledger as -// orphans. +// A policy binds to its ledger at construction. Every call validates, then computes on working +// copies and publishes all changes together, or none. +// place(v) adds v to the epoch: CostOnly prepares its program at the epoch's first positive call +// (every roster source's shortest routes on the ledger's residual at that call's entry) and keeps +// it for the epoch; EqualBalanced and Weighted forward the equal origin over the pooled routes: +// Lossless admits the largest total a in [admitted, admitted + volume] whose no-drop forwarding fits +// the residual plus the policy's own load (a refused unit is not offered again), Lossy forwards +// the new round-robin injections on the residual at call entry (earlier drops are not offered +// again). The controllers (Global, CostOnly MaxFlow) re-solve admitted + volume from zero on the +// residual plus their own allocation and export the solve as their program; the equal origin admits +// the largest total whose round-robin supplies are all carried. Pinned forwards its program the +// same way (Lossless: the largest total in [admitted, admitted + volume]; Lossy: the round-robin +// or captured-weight increments of the injection, each head splitting its increment afresh). +// CapacityAware runs per source (stages of creation, reoptimisation, amounts and growth). +// evaluate(offer) is a full, independent computation and forwarding of the offer from the +// policy's own released view (the residual plus its own carried load): it publishes nothing, +// creates no record and leaves the epoch as it was. replace(offer) is the same, published +// atomically: the old records are retired, new ones created, and a new epoch starts at this offer +// (delivery may go down). forward(offer, black_holes) forwards a full new offer over the installed +// program with no route computation (Lossless: the fixed program's lossless bound; Lossy: the +// offer's injections) on the released view, starts a new epoch like replace, and keeps the +// program; with black_holes, the nodes and edges it excludes are black holes for that call. A +// Lossy replace, forward or evaluate needs a finite offer; a Lossy +inf is CostOnly place's +// first-hop experiment only. remove() releases every policy flow, retires their ids, clears the +// program and starts a new epoch: the period since construction, the last remove(), replace() or +// forward() over which requests and flows accumulate. Destroying a policy without remove() leaves +// its records in the ledger as orphans. // // Validation (std::invalid_argument, before anything binds), in this order: the endpoint sets -// (non-empty, ids in range, disjoint), a foreign Eligibility or DagCache, the configuration -// (FlowPolicyConfig's order), then Pinned's bundles (a non-empty list of this graph without null -// or duplicate bundles, every bundle with a src -> dst walk before pruning). place() validates -// the request ([0, 2^62) units or +inf; a finite request after +inf in the epoch is rejected, -// also 0) before any change. A solve of the flow core (Global, CostOnly MaxFlow, a MaxFlow flow) -// whose network exceeds the core's int32 numbering throws std::invalid_argument, and the call -// changes nothing: more than INT32_MAX - 2 nodes, or more than 2^30 - 1 edges, sources and -// destinations together. +// (non-empty, ids in range, disjoint), the ownership of the Eligibility, the program, the support, +// the DagCache and the black holes by the ledger's graph, the configuration (FlowPolicyConfig's +// order), then the roster and count rules (the pooled single-path rule; a Pinned program's +// endpoints equal to the policy's). A call validates the operation for the model, an installed +// program (forward), the request ([0, 2^62) units or +inf), a Lossy full offer's finiteness, a +// finite place after +inf in the epoch (rejected, also 0) and the black holes' graph (forward) +// before any change. A solve of the flow core (Global, CostOnly MaxFlow, a MaxFlow flow) whose +// network exceeds the core's int32 numbering throws std::invalid_argument, and the call changes +// nothing: more than INT32_MAX - 2 nodes, or more than 2^30 - 1 edges, sources and destinations +// together. A Lossy forwarding whose losses wait on each other in a cycle that alternates between +// two states or does not settle within its round limit throws std::invalid_argument; a failed +// check of an iterated forwarding throws std::runtime_error; neither publishes anything. // // Lifetime: the ledger, the Eligibility and the DagCache outlive the policy (the policy holds -// pointers to them). The roster (the eligible sources that statically reach an allowed -// destination, over allowed edges whatever their capacity) and, for Pinned, the usable bundles -// are fixed at construction. +// pointers to them); a Pinned policy shares its program and black holes. The roster (the eligible +// sources that statically reach an allowed destination, over allowed edges whatever their +// capacity; Pinned: the program's roster heads that reach an allowed destination over its basis +// under the Eligibility) is fixed at construction. class FlowPolicy { public: FlowPolicy(FlowLedger& ledger, std::span sources, std::span destinations, @@ -229,8 +291,14 @@ class FlowPolicy { FlowPolicy& operator=(FlowPolicy&&) = delete; ~FlowPolicy(); - // volume: units, nullopt is +inf. + // volume and offer: units, nullopt is +inf. PlacementResult place(std::optional volume, const OutputOptions& outputs = {}); + [[nodiscard]] PlacementResult evaluate(std::optional offer, const OutputOptions& outputs = {}) const; + PlacementResult replace(std::optional offer, const OutputOptions& outputs = {}); + // black_holes: an Eligibility of the policy's graph, or null for none (Pinned: rejected, its + // black holes are part of its configuration). + PlacementResult forward(std::optional offer, const Eligibility* black_holes = nullptr, + const OutputOptions& outputs = {}); void remove(); // The sum of delivered over this policy's live records. [[nodiscard]] Amount placed_demand() const; @@ -239,10 +307,11 @@ class FlowPolicy { // One of this policy's live records; a FlowId of another ledger or policy, a retired or an // unknown id throws std::invalid_argument. [[nodiscard]] FlowRecord record(const FlowId& flow_id) const; - // Pinned: the number of bundles with a src -> dst walk after static pruning; 0 otherwise. - [[nodiscard]] std::int32_t usable_bundles() const noexcept; - // The configuration as validated at construction: a copy whose absent origin and selection are - // resolved to the model's defaults (FlowPolicyConfig). + // The installed program: null before the epoch's first preparation, after remove() and for + // CapacityAware. + [[nodiscard]] std::shared_ptr program() const noexcept; + // The configuration as validated at construction: a copy whose absent origin, selection and + // weights are resolved to the model's defaults (FlowPolicyConfig). [[nodiscard]] const FlowPolicyConfig& config() const noexcept; private: diff --git a/include/netgraph/core/flow_record.hpp b/include/netgraph/core/flow_record.hpp index bbf5775..16b8da0 100644 --- a/include/netgraph/core/flow_record.hpp +++ b/include/netgraph/core/flow_record.hpp @@ -38,15 +38,19 @@ struct Counter128 { // A snapshot of one ledger flow, returned by records() or record(id). `bundle` is its route // structure; `route_cost` is the minimum walk cost from its sources to its destinations over -// that bundle, or kUnreachable if none exists. Lossy records alone have `offered`: the cumulative -// amount submitted to this flow before any drops. `edges` and `drops` contain positive values -// in ascending EdgeId; per-call and cumulative drop totals are derived. +// that bundle, or kUnreachable if none exists. `entry` is the program entry the record carries +// (a Pinned policy: one record per entry, the entry identifier of its program); absent for the +// records kept per roster source (CostOnly, Global) or per flow (CapacityAware). Lossy records +// alone have `offered`: the cumulative amount submitted to this flow before any drops. `edges` +// and `drops` contain positive values in ascending EdgeId; per-call and cumulative drop totals are +// derived. struct FlowRecord { FlowId flow_id {}; std::int64_t owner {0}; std::vector sources {}; std::vector destinations {}; Admission admission {Admission::Lossless}; + std::optional entry {}; std::shared_ptr bundle {}; Cost route_cost {kUnreachable}; std::optional offered {}; diff --git a/include/netgraph/core/options.hpp b/include/netgraph/core/options.hpp index 953f6bc..6e51fc1 100644 --- a/include/netgraph/core/options.hpp +++ b/include/netgraph/core/options.hpp @@ -35,10 +35,11 @@ using CostCeiling = std::variant; // first (multi_edge = false), then choose the walk among the remaining members. enum class EdgeTieBreak { Deterministic, PreferHigherPriority }; -// Per-edge priority for PreferHigherPriority and for Weighted membership and weights: +// Per-edge priority for PreferHigherPriority (single-path and parallel-edge choices), and for +// CapacityAware's Weighted membership and weights: // Residual is unused capacity in units on the search's view; Capacity is static capacity in // units; Headroom is the exact ratio residual / capacity, 0 on an edge of capacity 0 (rejected -// with Weighted). Without a supplied residual, a search reads the static capacity as the unused +// with CapacityAware's Weighted). Without a supplied residual, a search reads the static capacity as the unused // capacity: Residual and Capacity read the capacity, Headroom 1 (0 on an edge of capacity 0). enum class EdgePriority { Residual, Capacity, Headroom }; @@ -67,6 +68,15 @@ struct PathSelection { // EdgeId order. enum class FlowPlacement { MaxFlow, Weighted, EqualBalanced }; +// Where the Weighted kernel's member weights come from (CostOnly Weighted and supplied split +// routes): Capacity, each member's static capacity; Explicit, one integer per edge given with the +// configuration (edge_weights; a positive weight on an edge of capacity 0 becomes 0); +// ResidualSnapshot, each member's free capacity read once when the routes are prepared, against +// one common view, and frozen for the epoch. A member of weight 0 is pruned, together with the +// branches it leaves without a destination, inside the route only (no longer bypass is created). +// The selection's priority never chooses weights. +enum class WeightBasis { Capacity, Explicit, ResidualSnapshot }; + // Lossless admits only the largest total that the routes carry with no loss at all; Lossy // forwards the whole finite offer hop by hop and records where it is lost (EqualBalanced and // Weighted only). diff --git a/include/netgraph/core/program.hpp b/include/netgraph/core/program.hpp new file mode 100644 index 0000000..de8590a --- /dev/null +++ b/include/netgraph/core/program.hpp @@ -0,0 +1,117 @@ +/* Forwarding programs: the routes and integer weights a computation produces and forwarding moves + an offer over (Tunnel, Route, ForwardingProgram). */ +#pragma once + +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/graph.hpp" +#include "netgraph/core/options.hpp" +#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/types.hpp" + +namespace netgraph::core { + +namespace detail { +struct ProgramData; +struct ProgramAccess; +struct ProgramBlock; +} // namespace detail + +// A tunnel's state in one forwarding (a by_tunnel row): Up; Failed (the path touches a node or an +// edge the forwarding policy's Eligibility excludes: the tunnel gets nothing and its head splits +// over its other entries); Blackholed (up, but its path reaches a black hole of stale forwarding: +// its traffic is dropped on the first link that is one or enters one). A program's own tunnels are +// all up. +enum class TunnelStatus { Up, Failed, Blackholed }; + +// One tunnel (a path entry) of a program. index: the entry identifier (Global and CostOnly +// MaxFlow: the path's position in the decomposition order; supplied routes: the route's position +// in the list), never a position in tunnels(); local_index: its position among its head's entries +// of both kinds in ascending index; destination: where its path ends; edges in path order; +// route_cost: the sum of their costs; weight: its integer share among the head's entries (a +// controller path: its solved amount). +struct Tunnel { + std::int32_t index {0}; + NodeId head {0}; + std::int32_t local_index {0}; + NodeId destination {0}; + std::vector edges {}; + Cost route_cost {0}; + Amount weight {0}; + friend bool operator==(const Tunnel&, const Tunnel&) = default; +}; + +// A supplied route of ForwardingProgram::from_routes: a Path with one edge per hop (a tunnel) or +// a PredDAG (a split route, its own split context) starting at `head`, with its integer weight +// among the head's routes (0 allowed: it carries nothing). +struct Route { + NodeId head {0}; + std::variant, std::shared_ptr> bundle {}; + Amount weight {1}; +}; + +// The interior split of the PredDAG routes of from_routes: placement EqualBalanced (absent) or +// Weighted, whose weights come from `weights` (absent: Capacity), `edge_weights` (Explicit: one +// entry per edge) or `residual` (ResidualSnapshot: the free-capacity vector it reads, one entry +// per edge in [0, capacity]; it has no default). +struct RouteOptions { + std::optional placement {}; + std::optional weights {}; + std::optional> edge_weights {}; + std::optional> residual {}; +}; + +// An immutable value: one demand's sources and destinations (normalized sets), its entries and +// its injection rule. Entries are tunnels (listed in tunnels(), ascending index) and split routes +// (a DAG with per-router split tables; not listed). Injection: equal sources (round robin over the +// roster, the sources with an entry) or captured source weights (source_weights(): highest +// averages over every roster source's saved supply, zero included); then each head splits its +// share by highest averages over its entries' weights. Identical routes are never merged. +// A program also keeps what a replay under a failure rebuilds its roster from (its basis: the +// topology under the producing policy's exclusions, or each head's original routes). Shared by +// std::shared_ptr; every policy that forwards it keeps that reference. +class ForwardingProgram { +public: + // Validates and freezes supplied routes, std::invalid_argument for the first failure, in this + // order: the endpoint sets (empty, range, lowest overlap); `routes must not be empty`; when no + // route is a PredDAG, any option given (` applies + // only to PredDAG routes`); placement MaxFlow; the weights' combination; edge_weights' length and + // entries and residual's (the ledger's baseline messages); then each route in list order: its + // bundle's graph, its head a source, a Path's shape (one edge per hop, starting at the head, + // ending at a destination and meeting none before), a PredDAG's walk from the head to a + // destination, then its weight in [0, 2^62). Order and duplicates are kept; a route of weight 0 is + // validated in full. Every split route is its own split context. + [[nodiscard]] static std::shared_ptr from_routes(const Graph& g, + std::span sources, + std::span destinations, + std::span routes, + const RouteOptions& options = {}); + + ForwardingProgram(const ForwardingProgram&) = delete; + ForwardingProgram& operator=(const ForwardingProgram&) = delete; + ~ForwardingProgram(); + + [[nodiscard]] std::uint64_t graph_uid() const noexcept; + [[nodiscard]] std::span sources() const noexcept; + [[nodiscard]] std::span destinations() const noexcept; + [[nodiscard]] std::span tunnels() const noexcept; + // The captured source weights (roster source, saved supply) in ascending NodeId, every roster + // source listed; nullopt for equal sources. + [[nodiscard]] const std::optional>>& source_weights() const noexcept; + +private: + friend struct detail::ProgramAccess; + friend struct detail::ProgramBlock; + explicit ForwardingProgram(const detail::ProgramData* data) noexcept; + // The program's data, in the same allocation as the program (detail::ProgramBlock): the + // program's owner owns both. + const detail::ProgramData* data_; +}; + +} // namespace netgraph::core diff --git a/python/netgraph_core/__init__.py b/python/netgraph_core/__init__.py index c70d59a..cccda48 100644 --- a/python/netgraph_core/__init__.py +++ b/python/netgraph_core/__init__.py @@ -7,11 +7,13 @@ - The graph on integer units: ``Graph``, ``Eligibility``, ``to_units``, ``as_float``. - Route structures: ``PredDAG``, ``Path``. - Route selection and placement settings: ``PathSelection``, ``EdgeTieBreak``, - ``EdgePriority``, ``FlowPlacement``, ``Admission``, ``Origin``. + ``EdgePriority``, ``FlowPlacement``, ``Admission``, ``Origin``, ``WeightBasis``. - The ledger of placed traffic: ``FlowLedger`` and its ``FlowRecord`` snapshots. +- Forwarding programs: ``ForwardingProgram`` (with its ``Tunnel`` entries and + ``ForwardingProgram.from_routes`` over ``Route`` values), ``TunnelStatus``. - The policy engine: ``FlowPolicy``, ``FlowPolicyConfig``, the routings ``CostOnly``, ``CapacityAware``, ``Global``, ``Pinned``, and ``PlacementResult`` (with its ``SourceFlow`` - rows), ``OutputOptions``, ``Termination``. + and ``TunnelFlow`` rows), ``OutputOptions``, ``Termination``. - The shortest-path cache: ``DagCache`` (building and frozen modes), ``DagCacheMiss``. - The evaluators: ``capacity``, ``batch_capacity``, ``sensitivity``. - The searches: ``spf`` (``Direction``, ``SpfOptions``, ``SpfResult``, ``UNREACHABLE``), @@ -42,6 +44,7 @@ FlowPolicy, FlowPolicyConfig, FlowRecord, + ForwardingProgram, Global, Graph, KspOptions, @@ -53,6 +56,7 @@ PlacementResult, PredDAG, QueryOptions, + Route, SensitivityEntry, SensitivityResult, SourceFlow, @@ -60,6 +64,10 @@ SpfResult, Stretch, Termination, + Tunnel, + TunnelFlow, + TunnelStatus, + WeightBasis, as_float, batch_capacity, capacity, @@ -86,8 +94,13 @@ "FlowPlacement", "Admission", "Origin", + "WeightBasis", "FlowLedger", "FlowRecord", + "TunnelStatus", + "Tunnel", + "Route", + "ForwardingProgram", "Absolute", "Stretch", "DiminishingReturns", @@ -100,6 +113,7 @@ "Termination", "PlacementResult", "SourceFlow", + "TunnelFlow", "FlowPolicy", "MAX_FLOWS_PER_CALL", "DagCache", diff --git a/python/netgraph_core/__init__.pyi b/python/netgraph_core/__init__.pyi index c5ff837..2063d6d 100644 --- a/python/netgraph_core/__init__.pyi +++ b/python/netgraph_core/__init__.pyi @@ -8,11 +8,13 @@ to this file (``py.typed`` marks the package as typed). - The graph on integer units: ``Graph``, ``Eligibility``, ``to_units``, ``as_float``. - Route structures: ``PredDAG``, ``Path``. - Route selection and placement settings: ``PathSelection``, ``EdgeTieBreak``, - ``EdgePriority``, ``FlowPlacement``, ``Admission``, ``Origin``. + ``EdgePriority``, ``FlowPlacement``, ``Admission``, ``Origin``, ``WeightBasis``. - The ledger of placed traffic: ``FlowLedger`` and its ``FlowRecord`` snapshots. +- Forwarding programs: ``ForwardingProgram`` (with its ``Tunnel`` entries and + ``ForwardingProgram.from_routes`` over ``Route`` values), ``TunnelStatus``. - The policy engine: ``FlowPolicy``, ``FlowPolicyConfig``, the routings ``CostOnly``, ``CapacityAware``, ``Global``, ``Pinned``, and ``PlacementResult`` (with its ``SourceFlow`` - rows), ``OutputOptions``, ``Termination``. + and ``TunnelFlow`` rows), ``OutputOptions``, ``Termination``. - The shortest-path cache: ``DagCache`` (building and frozen modes), ``DagCacheMiss``. - The evaluators: ``capacity``, ``batch_capacity``, ``sensitivity``. - The searches: ``spf`` (``Direction``, ``SpfOptions``, ``SpfResult``, ``UNREACHABLE``), @@ -42,8 +44,13 @@ __all__: list[str] = [ "FlowPlacement", "Admission", "Origin", + "WeightBasis", "FlowLedger", "FlowRecord", + "TunnelStatus", + "Tunnel", + "Route", + "ForwardingProgram", "Absolute", "Stretch", "DiminishingReturns", @@ -56,6 +63,7 @@ __all__: list[str] = [ "Termination", "PlacementResult", "SourceFlow", + "TunnelFlow", "FlowPolicy", "MAX_FLOWS_PER_CALL", "DagCache", @@ -80,13 +88,14 @@ __version__: str class FlowPlacement: """ - How traffic spreads over the routes (CostOnly's kernel; CapacityAware and Pinned flows too). + How traffic spreads over the routes (CostOnly's kernel; CapacityAware's flows; the interior split + of supplied PredDAG routes, EQUAL_BALANCED or WEIGHTED). MAX_FLOW: the minimum-cost flow core over the routes (a controller restricted to them), re-solved over the free capacity plus the policy's own allocation (it may move its own earlier placement, never another's). WEIGHTED (WCMP, weighted-cost multipath): every node splits in proportion to weights fixed when the routes are prepared (highest averages: whole-unit shares as close to - proportional as possible). EQUAL_BALANCED (ECMP, equal-cost multipath): every node splits - equally, by round robin. + proportional as possible; the weights come from WeightBasis). EQUAL_BALANCED (ECMP, equal-cost + multipath): every node splits equally, by round robin. Members: @@ -205,6 +214,52 @@ class Origin: @property def value(self) -> int: ... +class WeightBasis: + """ + Where WEIGHTED member weights come from (CostOnly WEIGHTED and supplied PredDAG routes). + CAPACITY (the default): each member's static capacity. EXPLICIT: edge_weights, one integer per + edge (a positive weight on an edge of capacity 0 becomes 0). RESIDUAL_SNAPSHOT: each member's free + capacity read once when the routes are prepared, against one common view, and frozen for the + epoch. A member of weight 0 is pruned with the branches it leaves without a destination, inside + the route only. The selection's priority never chooses weights. + + Members: + + CAPACITY + + EXPLICIT + + RESIDUAL_SNAPSHOT + """ + + CAPACITY: typing.ClassVar[WeightBasis] + EXPLICIT: typing.ClassVar[WeightBasis] + RESIDUAL_SNAPSHOT: typing.ClassVar[WeightBasis] + __members__: typing.ClassVar[dict[str, WeightBasis]] + + @typing.overload + def __eq__(self, other: WeightBasis, /) -> bool: ... + @typing.overload + def __eq__(self, other: typing.Any, /) -> bool: ... + def __getstate__(self) -> int: ... + def __hash__(self) -> int: ... + def __index__(self) -> int: ... + def __init__(self, value: typing.SupportsInt | typing.SupportsIndex) -> None: ... + def __int__(self) -> int: ... + @typing.overload + def __ne__(self, other: WeightBasis, /) -> bool: ... + @typing.overload + def __ne__(self, other: typing.Any, /) -> bool: ... + def __repr__(self) -> str: ... + def __setstate__( + self, state: typing.SupportsInt | typing.SupportsIndex, / + ) -> None: ... + def __str__(self) -> str: ... + @property + def name(self) -> str: ... + @property + def value(self) -> int: ... + class EdgeTieBreak: """ How a search breaks cost ties. Between parallel members of one (u, v) pair @@ -250,10 +305,11 @@ class EdgeTieBreak: class EdgePriority: """ - The per-edge value PREFER_HIGHER_PRIORITY reads and, with WEIGHTED, the value that decides which - edges a flow uses and their weights: RESIDUAL (residual units), CAPACITY (static capacity units), - HEADROOM (residual / capacity, compared exactly as a fraction, 0 on an edge of capacity 0; - rejected with WEIGHTED). A search without a residual reads the static capacity as the residual: + The per-edge value PREFER_HIGHER_PRIORITY reads (single-path and parallel-member choices) and, + for CapacityAware's WEIGHTED flows, the value that decides which edges a flow uses and their + weights: RESIDUAL (residual units), CAPACITY (static capacity units), HEADROOM (residual / + capacity, compared exactly as a fraction, 0 on an edge of capacity 0; rejected with + CapacityAware's WEIGHTED). A search without a residual reads the static capacity as the residual: RESIDUAL and CAPACITY read the capacity, HEADROOM 1 (0 on an edge of capacity 0). Members: @@ -636,7 +692,8 @@ class Path: class FlowRecord: """ One flow of a ledger, as a snapshot: flow_id (ledger uid, id), owner (the policy's id), - sources, destinations, admission, bundle (PredDAG: the flow's route), + sources, destinations, admission, entry (a Pinned policy's program entry, else None), bundle + (PredDAG: the flow's route), route_cost (its minimum walk cost; None when empty), offered (Lossy only, else None), delivered, edges [(EdgeId, units)] and drops [(EdgeId, units)] (cumulative, ascending EdgeId). offered and the drops units are exact Python ints (they may exceed 64 bits). @@ -681,6 +738,13 @@ class FlowRecord: the flow's allocation [(EdgeId, units)], positive entries in ascending EdgeId """ + @property + def entry(self) -> int | None: + """ + the program entry the record carries (a Pinned policy: the entry identifier); None for the + records kept per roster source (CostOnly, Global) or per flow (CapacityAware) + """ + @property def flow_id(self) -> tuple[int, int]: """ @@ -804,6 +868,189 @@ class FlowLedger: process-unique ledger uid (the first half of every FlowId) """ +class TunnelStatus: + """ + A tunnel's state in one forwarding (a by_tunnel row). UP; FAILED: its path touches a node or + an edge the forwarding policy's Eligibility excludes, so it gets nothing and its head splits over + its other entries (replay); BLACKHOLED: up, but its path reaches a black hole of stale + forwarding, where its traffic is dropped. A program's own tunnels are all up. + + Members: + + UP + + FAILED + + BLACKHOLED + """ + + BLACKHOLED: typing.ClassVar[TunnelStatus] + FAILED: typing.ClassVar[TunnelStatus] + UP: typing.ClassVar[TunnelStatus] + __members__: typing.ClassVar[dict[str, TunnelStatus]] + + @typing.overload + def __eq__(self, other: TunnelStatus, /) -> bool: ... + @typing.overload + def __eq__(self, other: typing.Any, /) -> bool: ... + def __getstate__(self) -> int: ... + def __hash__(self) -> int: ... + def __index__(self) -> int: ... + def __init__(self, value: typing.SupportsInt | typing.SupportsIndex) -> None: ... + def __int__(self) -> int: ... + @typing.overload + def __ne__(self, other: TunnelStatus, /) -> bool: ... + @typing.overload + def __ne__(self, other: typing.Any, /) -> bool: ... + def __repr__(self) -> str: ... + def __setstate__( + self, state: typing.SupportsInt | typing.SupportsIndex, / + ) -> None: ... + def __str__(self) -> str: ... + @property + def name(self) -> str: ... + @property + def value(self) -> int: ... + +class Tunnel: + """ + One tunnel (a path entry) of a ForwardingProgram, read-only. index: the entry identifier + (Global and CostOnly MAX_FLOW: the path's position in the decomposition order; supplied routes: + the route's position in the list), never a position in program.tunnels; head; local_index: its + position among the head's entries of both kinds; destination: where its path ends; edges: its + EdgeIds in path order; route_cost: the sum of their costs; weight: its integer share among the + head's entries (a controller path: its solved amount). + """ + + def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... + def __repr__(self) -> str: ... + @property + def destination(self) -> int: ... + @property + def edges(self) -> tuple[int, ...]: + """ + the path's EdgeIds in path order + """ + + @property + def head(self) -> int: ... + @property + def index(self) -> int: ... + @property + def local_index(self) -> int: ... + @property + def route_cost(self) -> int: ... + @property + def weight(self) -> int: ... + +class Route: + """ + A supplied route for ForwardingProgram.from_routes: a Path with one edge per hop (a tunnel) or a + PredDAG (a split route) starting at `head`; weight is its integer share among the head's routes + (0 allowed: it carries nothing). from_routes validates it. + """ + + def __init__( + self, + head: typing.SupportsIndex, + bundle: Path | PredDAG, + *, + weight: typing.SupportsIndex = 1, + ) -> None: + """ + Route(head, bundle, *, weight=1): head a NodeId, bundle a Path or a PredDAG (TypeError otherwise), + weight an integer (checked in [0, 2^62) by from_routes). + """ + + def __repr__(self) -> str: ... + @property + def bundle(self) -> Path | PredDAG: + """ + the Path (a tunnel) or the PredDAG (a split route) + """ + + @property + def head(self) -> int: + """ + the route's head (a source of the program) + """ + + @property + def weight(self) -> int: + """ + the route's integer share among the head's routes + """ + +class ForwardingProgram: + """ + An immutable value: one demand's routes and integer weights. sources and destinations (the normalized + sets); tunnels: the path entries in ascending index (split routes are not listed); source_weights: the + captured source supplies ((source, weight) for every roster source, ascending) of the optimized + controllers, None for equal sources (round robin over the roster). Each head splits its share by + highest averages over its entries' weights; identical routes are never merged. CostOnly and Global + produce one (FlowPolicy.program, PlacementResult.program; CapacityAware has none); from_routes builds + one from given routes; Pinned forwards one. No public constructor. + """ + + def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... + @staticmethod + def from_routes( + graph: Graph, + sources: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + destinations: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + routes: collections.abc.Sequence[Route], + *, + placement: FlowPlacement | None = None, + weights: WeightBasis | None = None, + edge_weights: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None = None, + residual: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None = None, + ) -> ForwardingProgram: + """ + Validate and freeze supplied routes -> ForwardingProgram (ValueError for the first failure, in this + order): the endpoint sets; `routes must not be empty`; when no route is a PredDAG, any option given + (` applies only to PredDAG routes`); placement MAX_FLOW + (`from_routes placement must be EQUAL_BALANCED or WEIGHTED`); weights only with placement=WEIGHTED, + EXPLICIT with edge_weights, RESIDUAL_SNAPSHOT with residual; edge_weights' length and entries in [0, + 2^62) and residual's (one entry per edge in [0, capacity]); then each route in list order: its + bundle's graph, its head a source, a Path with one edge per hop that starts at the head, ends at a + destination and meets none before, a PredDAG with a walk from the head to a destination, its weight + in [0, 2^62). Order and duplicates are kept; a route of weight 0 is validated in full. placement + (None: EQUAL_BALANCED) is the interior split of the PredDAG routes; each split route is its own + split context (a router splits only that route's share). The roster is the sources with a route. + """ + + @property + def destinations(self) -> tuple[int, ...]: + """ + the destination set, ascending + """ + + @property + def source_weights(self) -> tuple[tuple[int, int], ...] | None: + """ + the captured source weights ((source, weight), ascending), or None for equal sources + """ + + @property + def sources(self) -> tuple[int, ...]: + """ + the source set, ascending + """ + + @property + def tunnels(self) -> tuple[Tunnel, ...]: + """ + the program's tunnels (Tunnel), ascending index + """ + class Absolute: """ Cost ceiling: an absolute, inclusive path-cost budget (cost >= 0). @@ -965,52 +1212,76 @@ class Global: Routing: an ideal central controller that sees the whole network. Every positive call re-solves the minimum-cost flow of what the policy already delivers plus this call's request (placed_demand() + volume; what an earlier call could not place is not requested again) over - the eligible graph, on the free capacity plus its own allocation (it may move its own traffic, + the eligible graph, or exactly over `support` (a PredDAG of the policy's graph, trimmed to the + walks from the sources to the allowed destinations under the Eligibility; every other edge + carries nothing), on the free capacity plus its own allocation (it may move its own traffic, never another's). It takes no placement and no selection. Origin OPTIMIZED (the default): the controller chooses how much enters at each source; EQUAL: every roster source sends its - round-robin share of the largest total whose shares all fit. A positive call on a network - beyond the flow core's int32 numbering raises ValueError (see FlowPolicy.place). + round-robin share of the largest total whose shares all fit. Its program is the solve cut into + paths per source, each a tunnel weighted by its amount. A positive call on a network beyond the + flow core's int32 numbering raises ValueError (see FlowPolicy.place). """ - def __init__(self) -> None: + def __init__(self, *, support: PredDAG | None = None) -> None: """ - Global routing (no parameters) + Global(*, support=None): support a PredDAG of the policy's graph (checked when a policy is built + with it: `support belongs to another graph`) or None for every eligible edge """ def __repr__(self) -> str: ... + @property + def support(self) -> PredDAG | None: + """ + the supplied support (a PredDAG), or None + """ class Pinned: """ - Routing on routes the caller gives: one flow per usable bundle (a PredDAG with at least one - src -> dst walk over eligible edges, whatever their capacity), in the given order; one source - and one destination. A Path converts with to_dag(). The list is copied at construction. + Routing: forwarding over a given program, computing nothing (the program's endpoints must be + the policy's). The policy's Eligibility repairs failures: a tunnel touching an excluded element is + FAILED, a split route loses its excluded members, and the roster is rebuilt from the program's + basis (a head that no longer reaches a destination leaves the equal pool). black_holes: the nodes + and edges this Eligibility excludes are silent failures; the program is forwarded unchanged and + traffic reaching them is dropped there (stale forwarding; None: no black holes). One record per + program entry. """ - def __init__(self, bundles: collections.abc.Sequence[PredDAG]) -> None: + def __init__( + self, program: ForwardingProgram, *, black_holes: Eligibility | None = None + ) -> None: """ - Pinned(bundles): a sequence of PredDAG of one graph, copied; the policy checks them when it is - built (non-empty, no duplicates, each with a src -> dst walk) + Pinned(program, *, black_holes=None): a ForwardingProgram and an Eligibility of the same graph (both + kept by reference; checked when a policy is built with them) """ def __repr__(self) -> str: ... @property - def bundles(self) -> list[PredDAG]: + def black_holes(self) -> Eligibility | None: """ - the bundles in supply order (a new list of the shared, immutable PredDAG values) + the black holes (an Eligibility), or None + """ + + @property + def program(self) -> ForwardingProgram: + """ + the forwarded program (shared, immutable) """ class FlowPolicyConfig: """ One demand's settings: routing (CostOnly, CapacityAware, Global or Pinned), placement - (FlowPlacement: required for CostOnly, CapacityAware and Pinned; Global takes none), admission - (LOSSLESS by default), selection (PathSelection; None: PathSelection(); Global takes none) and - origin (Origin; None: the model's default, EQUAL for CostOnly EQUAL_BALANCED and WEIGHTED and for - CapacityAware, OPTIMIZED for CostOnly MAX_FLOW and Global; Pinned takes none). A field that does - not apply to the model must stay None. The combination is checked when a policy or an evaluator - uses the configuration (ValueError): the enumeration values, then the model's row (placement, - origin, admission, selection), then a DagCache (only CostOnly reads one), then CapacityAware's - parameters, then the pooled single-path rule (CostOnly with several input sources rejects - multipath=False with PREFER_HIGHER_PRIORITY). + (FlowPlacement: required for CostOnly and CapacityAware; Global and Pinned take none), admission + (LOSSLESS by default), selection (PathSelection; None: PathSelection(); Global and Pinned take + none), origin (Origin; None: the model's default, EQUAL for CostOnly EQUAL_BALANCED and WEIGHTED and + for CapacityAware, OPTIMIZED for CostOnly MAX_FLOW and Global; Pinned takes none, its program has + it), weights (WeightBasis, CostOnly WEIGHTED only; None: CAPACITY) and edge_weights (one integer per + edge, given exactly when weights=EXPLICIT; one array shared by every policy built from this + configuration). A field that does not apply to the model must stay None. The combination is checked + when a policy or an evaluator uses the configuration (ValueError): the enumeration values, then the + model's row (placement, origin, admission, selection, weights with edge_weights), then a DagCache + (only CostOnly reads one), then CapacityAware's parameters, then edge_weights' length and entries, + then the pooled single-path rule (CostOnly with several input sources rejects multipath=False with + PREFER_HIGHER_PRIORITY). """ def __init__( @@ -1021,6 +1292,10 @@ class FlowPolicyConfig: admission: Admission = ..., selection: PathSelection | None = None, origin: Origin | None = None, + weights: WeightBasis | None = None, + edge_weights: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None = None, ) -> None: ... def __repr__(self) -> str: ... @property @@ -1029,6 +1304,12 @@ class FlowPolicyConfig: LOSSLESS or LOSSY """ + @property + def edge_weights(self) -> tuple[int, ...] | None: + """ + the explicit weights (one per edge, a tuple), or None + """ + @property def origin(self) -> Origin | None: """ @@ -1038,7 +1319,7 @@ class FlowPolicyConfig: @property def placement(self) -> FlowPlacement | None: """ - the FlowPlacement, or None (Global) + the FlowPlacement, or None (Global, Pinned) """ @property @@ -1050,7 +1331,13 @@ class FlowPolicyConfig: @property def selection(self) -> PathSelection | None: """ - the PathSelection, or None (a policy's config: PathSelection() resolved; Global: None) + the PathSelection, or None (a policy's config: PathSelection() resolved; Global, Pinned: None) + """ + + @property + def weights(self) -> WeightBasis | None: + """ + the WeightBasis, or None (a policy's config: CAPACITY resolved for CostOnly WEIGHTED) """ class OutputOptions: @@ -1201,21 +1488,70 @@ class SourceFlow: LOSSY: its offered units lost at the source (no usable route); 0 when LOSSLESS """ +class TunnelFlow: + """ + One program tunnel's forwarding in the epoch (read-only): index (its entry identifier) and + head, status (UP, FAILED, BLACKHOLED: TunnelStatus), assigned (its share of the injections: + LOSSY the shares sent to it, LOSSLESS what it carries), delivered and dropped (its losses on + links). Exact ints (assigned and dropped may exceed 64 bits). + """ + + def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... + def __repr__(self) -> str: ... + @property + def assigned(self) -> int: + """ + its share of the injections in the epoch (LOSSY: sent to it; LOSSLESS: what it carries) + """ + + @property + def delivered(self) -> int: + """ + the units it delivers + """ + + @property + def dropped(self) -> int: + """ + its units dropped on links + """ + + @property + def head(self) -> int: + """ + the tunnel's head + """ + + @property + def index(self) -> int: + """ + the tunnel's entry identifier + """ + + @property + def status(self) -> TunnelStatus: + """ + UP, FAILED or BLACKHOLED in this forwarding + """ + class PlacementResult: """ - The result of one call. This call: placed (units delivered by the call), remaining (request - - placed; float('inf') for an infinite request), delivery_delta (new minus old delivery: placed for a - placement), call_drops [(EdgeId, units)], call_source_loss, termination, routes_changed and - weights_changed. The demand's state after the call (totals of the epoch): requested (float('inf') - after an infinite request), offered (LOSSY: the traffic sent; None when LOSSLESS), admitted, - delivered, unadmitted (LOSSLESS: requested - delivered, None after an infinite request; LOSSY: 0), - source_loss, drops [(EdgeId, units)], by_source (one SourceFlow per normalized input source, - ascending NodeId), total_cost (controllers: Global and CostOnly MAX_FLOW; else None) and - cost_distribution (Global with the optimized origin only). LOSSY: offered = source_loss + - sum(drops) + delivered. The rows sum to the totals, except for LOSSY with an empty roster, where the - whole offer is the demand's source loss and every row is zero. Optional outputs, None unless - requested: edge_flows and residual (int64[E]), bottleneck, min_cut. Amounts that accumulate are - exact ints (they may exceed 64 bits). + The result of one call. This call: placed (units delivered by the call; replace, forward and + evaluate: the full new delivery), remaining (request - placed; float('inf') for an infinite + request), delivery_delta (new minus old delivery, may be negative), call_drops [(EdgeId, units)], + call_source_loss, termination, routes_changed and weights_changed. The demand's state after the call + (totals of the epoch): program (the installed ForwardingProgram; evaluate: the computed one; None + before the first preparation and for CapacityAware), requested (float('inf') after an infinite + request), offered (LOSSY: the traffic sent; None when LOSSLESS), admitted, delivered, unadmitted + (LOSSLESS: requested - delivered, None after an infinite request; LOSSY: 0), source_loss, drops + [(EdgeId, units)], by_source (one SourceFlow per normalized input source, ascending NodeId), + by_tunnel (one TunnelFlow per program tunnel, ascending index; an alternative view, never added to + by_source), total_cost (controllers: Global and CostOnly MAX_FLOW; else None) and cost_distribution + (unrestricted Global with the optimized origin only). LOSSY: offered = source_loss + sum(drops) + + delivered. The rows sum to the totals, except for LOSSY with an empty roster, where the whole offer + is the demand's source loss and every row is zero. Optional outputs, None unless requested: + edge_flows and residual (int64[E]), bottleneck, min_cut (they describe the same state; evaluate: the + evaluated one). Amounts that accumulate are exact ints (they may exceed 64 bits). """ def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... @@ -1239,6 +1575,12 @@ class PlacementResult: one SourceFlow per normalized input source, ascending NodeId (zero rows included) """ + @property + def by_tunnel(self) -> tuple[TunnelFlow, ...]: + """ + one TunnelFlow per program tunnel, ascending index (empty without tunnels) + """ + @property def call_drops(self) -> list[tuple[int, int]]: """ @@ -1254,7 +1596,7 @@ class PlacementResult: @property def cost_distribution(self) -> list[tuple[int, int]] | None: """ - Global with the optimized origin: the marginal cost curve [(cost, units)] of the policy's + unrestricted Global with the optimized origin: the marginal cost curve [(cost, units)] of the policy's cumulative flow (a zero call reports it unchanged; None before the epoch's first positive call); in ascending cost, delivering `units` more raised the minimum total flow cost by `cost` per unit (more delivery can reroute earlier flow, so these are not the costs of the final @@ -1270,7 +1612,8 @@ class PlacementResult: @property def delivery_delta(self) -> int: """ - the delivery after the call minus before it (placed, for a placement) + the delivery after the call minus before it (placed for a placement; may be negative for a + full-offer call) """ @property @@ -1289,12 +1632,12 @@ class PlacementResult: @property def min_cut(self) -> list[int] | None: """ - if requested (OutputOptions(min_cut=True)), Global with the optimized origin, when the solve + if requested (OutputOptions(min_cut=True)), unrestricted Global with the optimized origin, when the solve reached the maximum flow: the minimum cut closest to the sources, every allowed edge leaving the nodes the roster sources reach in the residual network (free capacity plus the policy's own allocation), an edge with nothing free (capacity 0, or held by others) included, ascending EdgeId; [] for an empty roster. None otherwise (another model, the equal origin, a - call below the maximum, a zero call) + support, a call below the maximum, a zero call, forward) """ @property @@ -1310,6 +1653,13 @@ class PlacementResult: the units placed (delivered) by this call """ + @property + def program(self) -> ForwardingProgram | None: + """ + the installed ForwardingProgram after the call (evaluate: the computed one); None before the first + preparation and for CapacityAware + """ + @property def remaining(self) -> int | float: """ @@ -1331,9 +1681,11 @@ class PlacementResult: @property def routes_changed(self) -> bool: """ - True when this call committed a route change: routes prepared or a flow created (also at - zero delivery), rerouted or added, or a change in the edges a Global source's share uses; a - candidate equal to the current route is not a change + True when the call's program differs from the installed one in its ordered heads, paths, split + tables or duplicates (no program counts as the empty program; two programs without an entry + are equal); CapacityAware (no program): a flow was created (also at zero delivery), rerouted or + added. An offer-only change (forward, Pinned, CostOnly increments) and an identical replace set + nothing """ @property @@ -1364,7 +1716,9 @@ class PlacementResult: @property def weights_changed(self) -> bool: """ - True when this call committed new weights for a rerouted WEIGHTED flow + True when the call's program differs from the installed one in its injection (source weights) + or any entry or split-table weight (a controller's re-solve that changes a path's amount); + CapacityAware: a rerouted WEIGHTED flow captured new weights """ class DagCacheStats: @@ -1460,10 +1814,11 @@ class DagCache: class FlowPolicy: """ - The placement engine for one demand, bound to its ledger at construction. place(volume, outputs) - is all-or-nothing: a failed call raises and leaves the ledger and the policy as they were (with - the two limits in the module docstring). remove() takes every flow of the policy back out and - starts a new epoch (the request total starts again from 0). A policy dropped without remove() + The placement engine for one demand, bound to its ledger at construction. Every call (place, + evaluate, replace, forward) is all-or-nothing: a failed call raises and leaves the ledger and the + policy as they were (with the two limits in the module docstring). remove() takes every flow of the + policy back out, clears its program and starts a new epoch (the request total starts again from 0); + replace and forward start one too. A policy dropped without remove() leaves its records in the ledger as orphans: readable, never changed again, cleared by FlowLedger.reset(). sources and destinations are one NodeId or a sequence; the two sets must not overlap. ValueError for invalid endpoints, configurations and requests (non-integer node ids and @@ -1488,10 +1843,47 @@ class FlowPolicy: """ Bind a policy to ledger. elig (None: everything allowed) and cache (None: none; only CostOnly routing reads it, another model rejects it) belong to the ledger's graph; the policy keeps the - ledger, elig and cache alive. The roster (the sources that statically reach an allowed - destination, over allowed edges whatever their capacity) and, for Pinned, the usable bundles - are fixed here. Everything is validated before the policy binds, in this order: the endpoints, - elig's and cache's graph, the configuration (FlowPolicyConfig's order), Pinned's bundles. + ledger, elig and cache alive (a Pinned policy shares its program and black holes). The roster + (the sources that statically reach an allowed destination, over allowed edges whatever their + capacity; Pinned: the program's heads that reach an allowed destination over its basis under elig) + is fixed here. Everything is validated before the policy binds, in this order: the endpoints, the + graph of elig, the program, the support, the cache and the black holes (`foreign Eligibility: + built for another graph`, `program belongs to another graph`, `support belongs to another graph`, + `foreign DagCache: bound to another graph`, `black_holes belongs to another graph`), the + configuration (FlowPolicyConfig's order), then the pooled single-path rule and a Pinned program's + endpoints (`program endpoints do not match policy endpoints`). + """ + + def evaluate( + self, + offer: typing.SupportsIndex | float | numpy.floating, + *, + outputs: OutputOptions | None = None, + ) -> PlacementResult: + """ + A full, independent computation and forwarding of offer (int units or float('inf')) from the + policy's own released view (the residual plus its own carried load), as replace would do it -> + PlacementResult (the computed program, the flags replace would set, the outputs of the evaluated + state); publishes nothing, creates no record and leaves the epoch as it was. LOSSY requires a + finite offer. + """ + + def forward( + self, + offer: typing.SupportsIndex | float | numpy.floating, + *, + black_holes: Eligibility | None = None, + outputs: OutputOptions | None = None, + ) -> PlacementResult: + """ + Forward a full new offer over the installed program, with no route computation, on the released + view -> PlacementResult; a new epoch like replace, the program kept (no flag). LOSSLESS admits the + program's lossless bound up to the offer; LOSSY sends the offer. black_holes (an Eligibility of the + graph): the nodes and edges it excludes are black holes for this call (stale forwarding: traffic + reaching one is dropped there; a black-holed source loses its share). In this order: Pinned raises + `Pinned forwards with replace`; no installed program `forward requires an installed program` + (also CapacityAware); the offer; LOSSY +inf `LOSSY forwarding requires a finite offer`; black_holes + of another graph `black_holes belongs to another graph`. """ def place( @@ -1501,16 +1893,20 @@ class FlowPolicy: ) -> PlacementResult: """ Place volume (int units in [0, 2^62), or float('inf')) all or nothing -> PlacementResult. - Requests add up within an epoch (from construction or the last remove()); after float('inf') any - finite request is rejected, 0 included. A request of 0 places nothing and reports the current - state. CostOnly prepares its routes at the epoch's first positive request; LOSSLESS admits the - largest total in [admitted, admitted + volume] that the routes carry with no loss (a refused unit - is not offered again); LOSSY forwards the new round-robin injections (earlier drops are not - offered again). outputs (OutputOptions; None: none) requests edge_flows, residual, bottleneck and - min_cut. Everything is validated before any change; a failed call raises with the ledger and the - policy unchanged. A solve of the flow core (Global, CostOnly MAX_FLOW, or a MAX_FLOW flow) on a - network beyond its int32 numbering raises ValueError: more than INT32_MAX - 2 nodes, or more than - 2^30 - 1 edges, sources and destinations together. + Requests add up within an epoch (from construction, the last remove(), replace() or forward()); + after float('inf') any finite request is rejected, 0 included. A request of 0 places nothing and + reports the current state. CostOnly prepares its program at the epoch's first positive request; + LOSSLESS admits the largest total in [admitted, admitted + volume] that the program carries with no + loss (a refused unit is not offered again); LOSSY forwards the new round-robin (or captured-weight) + injections, each head splitting its increment afresh (earlier drops are not offered again); a + controller re-solves admitted + volume. A LOSSY float('inf') is CostOnly's first-hop experiment; + Pinned raises `LOSSY forwarding requires a finite offer`. outputs (OutputOptions; None: none) + requests edge_flows, residual, bottleneck and min_cut. Everything is validated before any change; a + failed call raises with the ledger and the policy unchanged. A solve of the flow core (Global, + CostOnly MAX_FLOW, or a MAX_FLOW flow) on a network beyond its int32 numbering raises ValueError: + more than INT32_MAX - 2 nodes, or more than 2^30 - 1 edges, sources and destinations together. A + LOSSY forwarding whose losses wait on each other in a cycle raises ValueError when its rounds + alternate between two states or reach the round limit, RuntimeError when the result's check fails. """ def placed_demand(self) -> int: @@ -1533,13 +1929,20 @@ class FlowPolicy: def remove(self) -> None: """ - revert every flow of the policy, retire the ids, open a new epoch + revert every flow of the policy, retire the ids, clear the program, open a new epoch """ - def usable_bundles(self) -> int: + def replace( + self, + offer: typing.SupportsIndex | float | numpy.floating, + *, + outputs: OutputOptions | None = None, + ) -> PlacementResult: """ - Pinned: the bundles with a src -> dst walk over eligible edges, whatever their capacity (0 for - the other modes) + Recompute from the policy's own released view and forward the full offer, published atomically -> + PlacementResult: the old records are retired (their ids never live again), new ones created, and a + new epoch starts at this offer (delivery may go down: delivery_delta). CostOnly prepares its routes + again; a controller re-solves; Pinned forwards its program. LOSSY requires a finite offer. """ @property @@ -1549,11 +1952,21 @@ class FlowPolicy: resolved to the model's defaults """ + @property + def program(self) -> ForwardingProgram | None: + """ + the installed ForwardingProgram; None before the first preparation, after remove() and for + CapacityAware + """ + class QueryOptions: """ The options of every evaluator (capacity, batch_capacity, sensitivity): the configuration, - the static Eligibility (None: all allowed), the DagCache (None: private per worker) and - the optional outputs of each result (sensitivity: of its baseline). + the static Eligibility (None: all allowed), the DagCache (None: private per worker), the + optional outputs of each result (sensitivity: of its baseline) and offered (int units or + float('inf'); None: absent), the offer of a Pinned LOSSY evaluation: required and finite + there; a LOSSLESS model rejects it (` LOSSLESS capacity does not accept offered`), + CostOnly LOSSY too (`CostOnly LOSSY capacity uses first-hop injection`). """ def __init__( @@ -1563,6 +1976,7 @@ class QueryOptions: elig: Eligibility | None = None, cache: DagCache | None = None, outputs: OutputOptions | None = None, + offered: typing.SupportsIndex | float | numpy.floating | None = None, ) -> None: ... @property def cache(self) -> DagCache | None: @@ -1582,6 +1996,12 @@ class QueryOptions: the static Eligibility; None: everything allowed """ + @property + def offered(self) -> int | float | None: + """ + the offer of a Pinned LOSSY evaluation (int units, or float('inf')); None: absent + """ + @property def outputs(self) -> OutputOptions: """ @@ -1818,7 +2238,8 @@ def batch_capacity( intersected with per_pair_elig[i] (None entries allowed; a given sequence has one entry per pair, also when empty). workers >= 1; None: NGRAPH_CORE_BATCH_THREADS or 1, and 1 when a cache is supplied. Everything is validated before a worker starts, the arguments first, then each pair - completely in pair order, so the error of the lowest failing pair is raised. Pinned is rejected; + completely in pair order, so the error of the lowest failing pair is raised. Pinned is rejected + (`batch_capacity does not accept Pinned`: a program has fixed endpoints); an empty batch returns []. Caches: a supplied building cache needs workers == 1; a frozen cache is shared by every worker (pass workers explicitly), and its DagCacheMiss reaches the caller unchanged (the lowest failing @@ -1839,7 +2260,8 @@ def capacity( opts: QueryOptions, ) -> PlacementResult: """ - place(+inf) of a FlowPolicy with opts.config on a fresh ledger of the graph -> PlacementResult. + place(+inf) of a FlowPolicy with opts.config on a fresh ledger of the graph (Pinned LOSSY: + place(opts.offered)) -> PlacementResult. The exact maximum flow is Global() (the optimized origin); with origin=EQUAL, the largest total whose round-robin source shares are all carried. A supplied frozen cache raises DagCacheMiss for an absent key, unchanged. @@ -1890,16 +2312,17 @@ def sensitivity( workers: typing.SupportsIndex | None = None, ) -> SensitivityResult: """ - The baseline capacity() and one SensitivityEntry per candidate edge. Candidates: with Global and - the optimized origin, the edges that carry flow in the baseline (removing any other edge cannot + The baseline capacity() and one SensitivityEntry per candidate edge. Candidates: with unrestricted + Global and the optimized origin, the edges that carry flow in the baseline (removing any other edge cannot lower a maximum flow); otherwise every allowed edge, whatever its capacity (an edge of capacity 0 can carry a route, so deleting it can change the result, and with the equal origin a deletion that removes a source from the roster can raise the total: a negative loss). loss = baseline.placed minus the placed of capacity() without the edge, in signed units, never thresholded. Two - shortcuts give exactly that value: optimized Global repairs a copy of the baseline's solve - instead of solving again, and CostOnly + shortcuts give exactly that value: unrestricted optimized Global repairs a copy of the baseline's + solve instead of solving again, and CostOnly gives loss 0 without placing to an edge outside the static shortest-path support reachable from - the roster sources (no route can use it). workers as batch_capacity + the roster sources (no route can use it). Global with a support solves every deletion afresh; Pinned + replays the same program under each deletion. workers as batch_capacity (NGRAPH_CORE_SENSITIVITY_THREADS). Only CostOnly reads the cache, and each placed deletion uses a new Eligibility uid, so a frozen cache raises DagCacheMiss there. A failed deletion fails the call (the lowest failing candidate's exception, no partial result); a diff --git a/src/evaluators.cpp b/src/evaluators.cpp index 00f3919..6169035 100644 --- a/src/evaluators.cpp +++ b/src/evaluators.cpp @@ -1,11 +1,12 @@ /* - capacity() is place(+inf) on a fresh ledger. batch_capacity() runs it per pair and - sensitivity() per candidate deletion on `workers` threads; results follow input order and - the lowest failing index supplies the exception. Global with the optimized origin repairs the - baseline flow after each deletion. CostOnly skips an edge that no roster source's reachable - part of the static shortest-path support contains: removing it changes no route or amount. - Other deletions (the equal origin of Global among them: a deletion can raise its maximum) use - fresh ledgers. Only CostOnly reads a DagCache. + capacity() is place(+inf) on a fresh ledger (Pinned Lossy: place(offered)). batch_capacity() + runs it per pair and sensitivity() per candidate deletion on `workers` threads; results follow + input order and the lowest failing index supplies the exception. Unrestricted Global with the + optimized origin repairs the baseline flow after each deletion. CostOnly skips an edge that no + roster source's reachable part of the static shortest-path support contains: removing it + changes no route or amount. Other deletions (the equal origin of Global among them: a deletion + can raise its maximum; Global with a support; Pinned, which replays its program under each + deletion) use fresh ledgers. Only CostOnly reads a DagCache. */ #include "netgraph/core/evaluators.hpp" @@ -37,13 +38,36 @@ std::shared_ptr borrowed(const Graph& g) { return std::shared_ptr(std::shared_ptr {}, &g); } +// The evaluators' offer (12.1): `offered` in its domain, then the model's rule; returns the call's +// request (+inf, or a Pinned Lossy finite offer). +std::optional evaluator_offer(const FlowPolicyConfig& cfg, const std::optional>& offered) { + const auto& r = cfg.routing; + if (offered.has_value() && offered->has_value() && (**offered < 0 || **offered >= kDomainLimit)) { + throw std::invalid_argument("offered must be an integer in [0, 2^62) or permitted +inf"); + } + const std::string model = detail::model_name(r); + if (cfg.admission == Admission::Lossless) { + if (offered.has_value()) throw std::invalid_argument(model + " LOSSLESS capacity does not accept offered"); + return std::nullopt; + } + if (std::holds_alternative(r)) { + if (!offered.has_value() || !offered->has_value()) { + throw std::invalid_argument("Pinned LOSSY capacity requires finite offered"); + } + return *offered; + } + if (offered.has_value()) throw std::invalid_argument("CostOnly LOSSY capacity uses first-hop injection"); + return std::nullopt; +} + // One evaluation inside a public call: a supplied frozen cache's hit goes to the call's tally. PlacementResult evaluate(const Graph& g, std::span sources, std::span destinations, const FlowPolicyConfig& cfg, const Eligibility* elig, - DagCache* cache, const OutputOptions& outputs, detail::FrozenTally& tally) { + DagCache* cache, const OutputOptions& outputs, const std::optional>& offered, + detail::FrozenTally& tally) { FlowLedger fg(borrowed(g)); FlowPolicy policy = detail::PolicyAccess::make(fg, sources, destinations, cfg, elig, cache, tally); - return policy.place(std::nullopt, outputs); + return policy.place(evaluator_offer(policy.config(), offered), outputs); } void check_common(const Graph& g, const Eligibility* elig, const DagCache* cache, std::int32_t workers) { @@ -168,10 +192,13 @@ namespace detail { void check_batch_arguments(const Graph& g, const QueryOptions& opts, std::int32_t workers) { check_common(g, opts.elig, opts.cache, workers); - if (std::holds_alternative(opts.config.routing)) { - throw std::invalid_argument("Pinned routing is rejected in batch_capacity (bundles bind their endpoints)"); + if (std::holds_alternative(opts.config.routing)) throw std::invalid_argument("batch_capacity does not accept Pinned"); + if (const auto* global = std::get_if(&opts.config.routing); global != nullptr && global->support && + global->support->graph_uid() != g.uid()) { + throw std::invalid_argument("support belongs to another graph"); } - (void)resolve_config(opts.config, opts.cache != nullptr); + (void)resolve_config(opts.config, opts.cache != nullptr, g.num_edges()); + (void)evaluator_offer(opts.config, opts.offered); } void check_batch_pair(const Graph& g, const FlowPolicyConfig& cfg, std::span sources, @@ -188,7 +215,7 @@ void check_batch_pair(const Graph& g, const FlowPolicyConfig& cfg, std::span sources, std::span destinations, const QueryOptions& opts, FrozenTally& tally) { - return evaluate(g, sources, destinations, opts.config, opts.elig, opts.cache, opts.outputs, tally); + return evaluate(g, sources, destinations, opts.config, opts.elig, opts.cache, opts.outputs, opts.offered, tally); } std::vector batch_capacity_in_call( @@ -217,8 +244,8 @@ std::vector batch_capacity_in_call( elig = &*both; } } - results[i] = - evaluate(g, pairs[i].first, pairs[i].second, opts.config, elig, worker_cache(opts.config, cache), opts.outputs, tally); + results[i] = evaluate(g, pairs[i].first, pairs[i].second, opts.config, elig, worker_cache(opts.config, cache), + opts.outputs, opts.offered, tally); }); std::vector out; out.reserve(results.size()); @@ -230,8 +257,10 @@ SensitivityResult sensitivity_in_call(const Graph& g, std::span so std::span destinations, const QueryOptions& opts, std::int32_t workers, FrozenTally& tally) { check_common(g, opts.elig, opts.cache, workers); - // Global with the optimized origin (its default) repairs its baseline; the equal origin cannot. - const bool global = std::holds_alternative(opts.config.routing) && opts.config.origin != Origin::Equal; + // Unrestricted Global with the optimized origin (its default) repairs its baseline; the equal + // origin and a support cannot (every allowed deletion is solved afresh). + const auto* global_routing = std::get_if(&opts.config.routing); + const bool global = global_routing != nullptr && !global_routing->support && opts.config.origin != Origin::Equal; const bool cost_only = std::holds_alternative(opts.config.routing); SensitivityResult out; std::vector on_route; // CostOnly: the baseline's reachable support @@ -247,7 +276,7 @@ SensitivityResult sensitivity_in_call(const Graph& g, std::span so FlowPolicy policy = PolicyAccess::make(fg, sources, destinations, opts.config, opts.elig, cache, tally); auto& pe = PolicyAccess::engine(policy); if (global) pe.capture = &capture; - out.baseline = policy.place(std::nullopt, opts.outputs); + out.baseline = policy.place(evaluator_offer(policy.config(), opts.offered), opts.outputs); pe.capture = nullptr; if (cost_only) on_route = reachable_support(g, pe); } @@ -295,8 +324,8 @@ SensitivityResult sensitivity_in_call(const Graph& g, std::span so const EdgeId one[1] = {e}; Eligibility deleted = g.eligibility({}, one); if (opts.elig != nullptr) deleted = Eligibility::intersect(*opts.elig, deleted); - const auto r = - evaluate(g, sources, destinations, opts.config, &deleted, worker_cache(opts.config, cache), OutputOptions {}, tally); + const auto r = evaluate(g, sources, destinations, opts.config, &deleted, worker_cache(opts.config, cache), + OutputOptions {}, opts.offered, tally); entry.loss = base - r.placed; } if (&cache != opts.cache) cache.clear(); diff --git a/src/flow_ledger.cpp b/src/flow_ledger.cpp index e743dae..c96970e 100644 --- a/src/flow_ledger.cpp +++ b/src/flow_ledger.cpp @@ -314,9 +314,19 @@ std::vector LedgerAccess::detach(FlowLedger& fg, std::int64_t owne } std::vector LedgerAccess::commit(FlowLedger& fg, std::int64_t owner, std::span drafts) { + return commit_drafts(fg, owner, drafts, false); +} + +std::vector LedgerAccess::exchange(FlowLedger& fg, std::int64_t owner, std::span drafts) { + return commit_drafts(fg, owner, drafts, true); +} + +std::vector LedgerAccess::commit_drafts(FlowLedger& fg, std::int64_t owner, std::span drafts, + bool retire) { fg.check_usable(); if (!is_bound(fg.owners_, owner)) throw std::logic_error("ledger: commit by an unbound owner"); - // The drafts carry exactly the owner's live records plus new ones. + // The drafts carry exactly the owner's live records plus new ones (retire: only new ones, every + // live record is retired). const auto owned = fg.owner_ids_.find(owner); const std::size_t num_current = owned == fg.owner_ids_.end() ? 0 : owned->second.size(); if (owned == fg.owner_ids_.end() && drafts.size() == 1 && !drafts[0].id.has_value() && @@ -369,8 +379,9 @@ std::vector LedgerAccess::commit(FlowLedger& fg, std::int64_t owner, std } } std::sort(kept.begin(), kept.end()); - if (kept.size() != num_current || (num_current != 0 && kept != owned->second)) { - throw std::logic_error("ledger: a commit must carry every live record of its policy"); + if (retire ? !kept.empty() : (kept.size() != num_current || (num_current != 0 && kept != owned->second))) { + throw std::logic_error(retire ? "ledger: an exchange carries only new records" + : "ledger: a commit must carry every live record of its policy"); } // 1. The new aggregate on every touched edge (old owner allocation out, new drafts in), @@ -408,6 +419,13 @@ std::vector LedgerAccess::commit(FlowLedger& fg, std::int64_t owner, std live.reserve(kept.size() + num_new); live.assign(kept.begin(), kept.end()); // ascending; new ids are larger than every kept id } + // An exchange retires the owner's live records: their map nodes leave the map before the new + // ones are spliced in (an erase neither allocates nor throws). + std::vector::iterator> retired; + if (retire && num_current != 0) { + retired.reserve(num_current); + for (std::int64_t id : owned->second) retired.push_back(fg.records_.find(id)); + } std::vector::iterator> targets; std::vector updated; targets.reserve(kept.size()); @@ -431,6 +449,7 @@ std::vector LedgerAccess::commit(FlowLedger& fg, std::int64_t owner, std // 3. Publication: nothing below allocates or throws (map nodes are spliced, not copied). for (EdgeId e : delta.touched()) fg.allocated_[static_cast(e)] += delta.at(e); for (std::size_t i = 0; i < targets.size(); ++i) targets[i]->second = std::move(updated[i]); + for (const auto& it : retired) fg.records_.erase(it); fg.records_.merge(fresh); if (num_new != 0) { if (owned != fg.owner_ids_.end()) { @@ -438,6 +457,8 @@ std::vector LedgerAccess::commit(FlowLedger& fg, std::int64_t owner, std } else { fg.owner_ids_.merge(index_node); } + } else if (retire && owned != fg.owner_ids_.end()) { + fg.owner_ids_.erase(owned); } fg.next_id_ = next_id; return created; diff --git a/src/flow_policy.cpp b/src/flow_policy.cpp index 4137208..e68e8b7 100644 --- a/src/flow_policy.cpp +++ b/src/flow_policy.cpp @@ -1,32 +1,43 @@ /* - The policy engine FlowPolicy: one placement transaction for every routing - mode, committed through the ledger as one atomic exchange per call. - - * CostOnly EqualBalanced and Weighted (place_pooled): the epoch's first positive call prepares - every roster source's route on the working residual at its entry and joins them into one - program, a plan rooted at the whole roster (a router reached by several sources splits their - added traffic once). Lossless admits the largest total of the equal origin whose no-drop - forwarding fits V = W + own; Lossy forwards the round-robin increments of the offer on W. - The amounts are attributed back to the sources (kernels' forward()). - * The controllers (place_controller): Global over every eligible edge, CostOnly MaxFlow over - the union of the roster's routes (prepared as above). A minimum-cost flow of the cumulative - value on V = W + own, from one virtual source (the optimized origin) or with source i's arc - capped at its round-robin share of the largest total whose shares all fit (the equal origin, - integer bisection). Split by source in the fixed order described by decompose(). - * CapacityAware and Pinned (place_flows) visit the roster in ascending NodeId. Round robin - gives each source an equal integer share of the cumulative request, with leftover units - going to earlier sources. Offer each source the increase in its share, then run stages 1 - creation, 2 reoptimisation, 3 amounts and 4 growth on shared unused capacity W (the working - residual). One `created` counter covers the call. Pinned has a single source. - - Work on copies and commit all changes together; an exception leaves ledger and policy intact. - Update policy epoch state (accumulated since construction or remove()) after commit, without - throwing. Store only changes to ledger residual in per-thread slots. Pinned and split CostOnly - gather their program members and attributed records. Global reads a dense residual and solves - over every edge (its view and flows per EdgeId); CostOnly MaxFlow gathers its view over its - support and keeps its flows aligned with it, expanding them over all edges only to split the flow - among several sources (decompose()) or for the trace. CapacityAware reads a dense residual copy; - CostOnly preparation reads the working residual edge by edge. + The policy engine FlowPolicy: one transaction for every routing mode and operation, published + through the ledger as one atomic exchange per call. + + A call computes from the epoch it continues (place) or a fresh one (evaluate, replace and + forward, on the residual with the policy's own load released) into a staged value: the result, + the drafts of the commit and the epoch after it. place, replace and forward publish it (the + ledger commit, then the epoch); evaluate discards it. The change flags compare the program the + policy had installed with the call's. + + * CostOnly EqualBalanced and Weighted (place_pooled): the epoch's first positive call (or a + replace) prepares every roster source's route on the working residual at its entry and joins + them into the program's one pooled split context, a plan rooted at the whole roster (a router + reached by several sources splits their added traffic once). Weighted weights come from the + configured basis (capacity, explicit edge weights, or the free capacity read then and frozen). + Lossless admits the largest total of the equal origin whose no-drop forwarding fits V = W + + own; Lossy forwards the round-robin increments of the offer on W. The amounts are attributed + back to the sources (kernels' forward()). + * The controllers (place_controller): unrestricted Global over every eligible edge, Global with a + support over that support trimmed, CostOnly MaxFlow over the union of the roster's routes + (prepared as above). A minimum-cost flow of the cumulative value on V = W + own, from one + virtual source (the optimized origin) or with source i's arc capped at its round-robin share of + the largest total whose shares all fit (the equal origin, integer bisection), cut into paths + per source (decompose()): the program, each path a tunnel weighted by its amount; each source's + record is the sum of its paths. + * Pinned (place_pinned): forwarding its program as the policy's view replays it under its mask + with its black holes, through the forwarding engine (forwarding.hpp), one record per program + entry; forward() (forward_installed) forwards a computing model's installed program the same + way, with records per roster source. + * CapacityAware (place_flows) visits the roster in ascending NodeId. Round robin gives each + source an equal integer share of the cumulative request, with leftover units going to earlier + sources. Offer each source the increase in its share, then run stages 1 creation, 2 + reoptimisation, 3 amounts and 4 growth on shared unused capacity W (the working residual). One + `created` counter covers the call. It has no program. + + Work on copies and publish all changes together; an exception leaves ledger and policy intact. + Store only changes to ledger residual in per-thread slots. Unrestricted Global reads a dense + residual and solves over every edge (its view and flows per EdgeId); the other controllers + gather their view over their support and keep their flows aligned with it. CapacityAware reads a + dense residual copy; CostOnly preparation reads the working residual edge by edge. The transaction trace (the call's intermediate values, keyed as the tests' model of the policy keys them) exists in a build with the private hooks only: every @@ -45,12 +56,14 @@ #include "netgraph/core/detail/endpoints.hpp" #include "netgraph/core/detail/enum_domain.hpp" #include "netgraph/core/detail/flow_core.hpp" +#include "netgraph/core/detail/forwarding.hpp" #include "netgraph/core/detail/int128.hpp" #include "netgraph/core/detail/kernels.hpp" #include "netgraph/core/detail/ledger_access.hpp" #include "netgraph/core/detail/policy_engine.hpp" #include "netgraph/core/detail/pred_dag_builder.hpp" #include "netgraph/core/detail/private_hooks.hpp" +#include "netgraph/core/detail/program_data.hpp" #include "netgraph/core/detail/trace.hpp" #include "netgraph/core/detail/traversal.hpp" @@ -114,6 +127,13 @@ class Working { out[e] = base_[e] - held_[e] + (x.stamp == s_.epoch ? x.delta : 0); } } + // The policy's own carried load released (the view of a full-offer call): its live records' + // edges added back. + void release_records(std::span records) noexcept { + for (const FlowRecord* r : records) { + for (const auto& [e, x] : r->edges) add(e, x); + } + } // W += a (release) or W -= a (consume) over member-aligned amounts. void release(std::span members, std::span a) noexcept { for (std::size_t m = 0; m < members.size(); ++m) { @@ -220,7 +240,6 @@ struct WorkFlow { std::shared_ptr plan {}; std::shared_ptr bundle {}; Cost cost {kUnreachable}; - std::int32_t bundle_index {-1}; Amount T {0}; // Lossless: the cumulative amount (= delivered) std::vector alloc {}; // member-aligned with plan->members (cumulative carried for Lossy) std::optional offered {}; // Lossy @@ -247,7 +266,7 @@ struct SourceRun { }; struct Call { - PolicyEngine& pe; + const PolicyEngine& pe; const Graph& g; Working& W; std::int64_t cap {kMaxFlowsPerCall}; @@ -268,22 +287,25 @@ struct Route { Cost cost {kUnreachable}; }; -// A flow's plan on its route (the record's bundle) with its membership captured on the creation -// view (Weighted Residual: `dense_view` when the search read one, else the working residual W); -// with `cost`, the route's minimum walk cost. +// A CapacityAware flow's plan on its route (the record's bundle) with its membership captured on +// the creation view (Weighted with priority Residual: `dense_view` when the search read one, else +// the working residual W); with `cost`, the route's minimum walk cost. std::shared_ptr plan_on(const Call& c, NodeId src, const PredDAG& route, const std::vector* dense_view, Cost* cost) { const auto& pe = c.pe; std::vector creation; + // CapacityAware's Weighted weights come from its selection's priority (Capacity or Residual). + WeightSource weights {WeightBasis::Capacity, {}}; if (*pe.config.placement == FlowPlacement::Weighted && pe.selection.priority == EdgePriority::Residual) { const auto edges = PredDAGBuilder::ascending(route); creation.resize(edges.size()); for (std::size_t i = 0; i < edges.size(); ++i) { creation[i] = dense_view != nullptr ? (*dense_view)[static_cast(edges[i])] : c.W.at(edges[i]); } + weights = WeightSource {WeightBasis::ResidualSnapshot, creation}; } - return std::make_shared(make_plan(c.g, *pe.config.placement, pe.config.admission, - pe.selection.priority, src, pe.dests_ok, route, creation, cost)); + return std::make_shared(make_plan(c.g, *pe.config.placement, pe.config.admission, weights, src, + pe.dests_ok, route, cost)); } // The priority values of the creation view W, as the selection reads them (CostOnly). The @@ -323,14 +345,21 @@ Route cost_only_route(const Call& c, NodeId src) { return out; } +// CostOnly Weighted's static weight source (Capacity or Explicit; ResidualSnapshot reads the view +// at preparation and is made there). +WeightSource cost_only_weights(const PolicyEngine& pe) noexcept { + if (pe.config.weights == WeightBasis::Explicit) return {WeightBasis::Explicit, *pe.config.edge_weights}; + return {pe.config.weights.value_or(WeightBasis::Capacity), {}}; +} + // CostOnly's creation products in one pass (kernels' cost_only_creation, identical to -// cost_only_route, bundle_of and plan_on where it applies); nullopt elsewhere. +// cost_only_route, bundle_of and the plan where it applies); nullopt elsewhere. std::optional creation_products(const Call& c, NodeId src) { const auto& pe = c.pe; const auto& sel = pe.selection; const WorkingPriority view {&c.W, c.g.capacity_units(), sel.priority}; return cost_only_creation(c.g, pe.support, src, pe.dests_ok, sel, view.on_w(), *pe.config.placement, - pe.config.admission); + pe.config.admission, cost_only_weights(pe)); } // CapacityAware: the canonical route on the selection view `view` (dense): static @@ -487,7 +516,7 @@ void prepare_outputs(const PolicyEngine& pe, const OutputOptions& outputs, if (outputs.residual || outputs.bottleneck) { std::vector res; LedgerAccess::residual_into(pe.fg, res); - for (const auto& cohort : pe.cohorts) { + for (const auto& cohort : pe.epoch.cohorts) { for (const auto& s : cohort) { for (const auto& [e, x] : LedgerAccess::live(pe.fg, s.id).edges) res[static_cast(e)] += x; } @@ -502,7 +531,7 @@ void prepare_outputs(const PolicyEngine& pe, const OutputOptions& outputs, // The current records' edge lists (a call that commits nothing). std::vector>*> current_edges(const PolicyEngine& pe) { std::vector>*> out; - for (const auto& cohort : pe.cohorts) { + for (const auto& cohort : pe.epoch.cohorts) { for (const auto& s : cohort) out.push_back(&LedgerAccess::live(pe.fg, s.id).edges); } return out; @@ -537,13 +566,15 @@ Counter128 minus(const Counter128& a, const Counter128& b) noexcept { return Counter128 {a.hi - b.hi - (a.lo < b.lo ? 1U : 0U), a.lo - b.lo}; } -// The demand's state after a call: its records after the call (`after`: one per flow, or one -// per roster source; the record's source names its row) and the epoch's counters after it. Lossy: -// a row's source loss is what its source was offered and neither delivered nor dropped; the +// The demand's state after a call: its records after the call (`after`: one per flow, per roster +// source or per program entry; the record's source names its row), the shares a Pinned head lost +// itself (`lost`: per source, outside every record) and the epoch's counters after it. Lossy: a +// row's source loss is what its source was offered and neither delivered nor dropped; the // demand's is its offered total minus delivery and drops, which with an empty roster is the // whole offer while every row stays zero. void fill_state(const PolicyEngine& pe, std::span after, const Counter128& requested, - bool infinite, const Counter128& offered, PlacementResult& out) { + bool infinite, const Counter128& offered, PlacementResult& out, + std::span> lost = {}) { const bool lossy = pe.config.admission == Admission::Lossy; if (!infinite) out.requested = requested; out.by_source.resize(pe.sources.size()); @@ -574,6 +605,10 @@ void fill_state(const PolicyEngine& pe, std::span after drops.emplace_back(e, x); } } + for (const auto& [s, x] : lost) { + const auto it = std::lower_bound(pe.sources.begin(), pe.sources.end(), s); + accumulate(*out.by_source[static_cast(it - pe.sources.begin())].offered, x, "offered"); + } if (!lossy) { for (auto& row : out.by_source) row.admitted = c128(row.delivered); out.admitted = c128(out.delivered); @@ -616,7 +651,7 @@ Counter128 total_cost_of(const Graph& g, std::span afte // The records of the policy's live flows (a call that commits nothing). std::vector current_records(const PolicyEngine& pe) { std::vector out; - for (const auto& cohort : pe.cohorts) { + for (const auto& cohort : pe.epoch.cohorts) { for (const auto& s : cohort) out.push_back(&LedgerAccess::live(pe.fg, s.id)); } return out; @@ -631,11 +666,16 @@ std::span draft_records(const std::vector& draft return out; } -// Global, or CostOnly MaxFlow: a controller. +// Global (with or without a support), or CostOnly MaxFlow: a controller. bool controller(const PolicyEngine& pe) noexcept { return is(pe) || (is(pe) && *pe.config.placement == FlowPlacement::MaxFlow); } +// Unrestricted Global: the controller over every eligible edge (dense arrays, the curve, the cut). +bool dense_global(const PolicyEngine& pe) noexcept { + return is(pe) && !std::get(pe.config.routing).support; +} + // ================================================================ the transaction Trace route_trace(std::span edges) { return Trace::ints(edges); } @@ -674,22 +714,9 @@ WorkFlow new_flow(Call& c, NodeId src, std::shared_ptr bundle, Co // ---------------------------------------------------------------- stage 1: creation void stage1(Call& c, SourceRun& st) { - auto& pe = c.pe; + const auto& pe = c.pe; Trace tr = Trace::map(); - if (is(pe)) { - const bool captured = *pe.config.placement == FlowPlacement::Weighted && - pe.selection.priority == EdgePriority::Residual; - Trace usable = Trace::list(); - for (std::int32_t i : pe.usable) { - const auto& b = pe.bundles[static_cast(i)]; - WorkFlow f = new_flow(c, st.src, b.route_dag, b.cost, nullptr, captured ? nullptr : b.route_plan); - f.bundle_index = i; - f.seq = ++c.seq; - st.flows.push_back(std::move(f)); - if (kTraced && c.trace) usable.push(Trace::integer(i)); - } - if (kTraced && c.trace) tr.set("usable", std::move(usable)); - } else { + { const auto& ca = std::get(pe.config.routing); std::vector S; c.W.dense(S); @@ -874,61 +901,6 @@ void stage3_eb(Call& c, SourceRun& st) { } } -void stage3_lossy(Call& c, SourceRun& st) { - auto& flows = st.flows; - std::vector offers(flows.size(), 0); - if (st.offer.has_value()) round_robin(*st.offer, offers); - Trace rows = Trace::list(); - std::vector w_m; - for (std::size_t i = 0; i < flows.size(); ++i) { - auto& f = flows[i]; - const std::optional offer = st.offer.has_value() ? std::optional(offers[i]) : std::nullopt; - const auto members = f.members(); - c.W.gather(members, w_m); - Injection in; - if (offer.has_value()) { - in.per_root = std::span(&offers[i], 1); - } else { - in.first_hop = true; - } - const auto step = forward(*f.plan, in, w_m); - // The 2^127 checks below can fail: finite offers bring an offered total up to the request - // total (below 2^127), and a +inf call then adds its injection. A drop counter (at most its - // flow's offered counter) can reach 2^127 only in such a call, and its check runs first. - c.W.consume(members, step.carried); - for (std::size_t m = 0; m < members.size(); ++m) { - f.alloc[m] += step.carried[m]; - if (step.drops[m] != 0) { - if (!f.drops[m].add(step.drops[m])) throw std::invalid_argument("drops limit exceeded"); - c.drops.emplace_back(members[m], step.drops[m]); - } - } - if (!f.offered->add(step.offered)) throw std::invalid_argument("offered limit exceeded"); - f.delivered += step.delivered; - st.injected += step.injected; - c.offered += step.offered; - c.source_loss += step.source_loss; - if (kTraced && c.trace) { - Trace row = Trace::map(); - row.set("offer", amount_or_inf(offer)); - row.set("offered", Trace::integer(step.offered)); - row.set("delivered", Trace::integer(step.delivered)); - std::vector> carried, drops; - for (std::size_t m = 0; m < members.size(); ++m) { - if (step.carried[m] != 0) carried.emplace_back(members[m], step.carried[m]); - if (step.drops[m] != 0) drops.emplace_back(members[m], step.drops[m]); - } - row.set("carried", Trace::pairs(carried)); - row.set("drops", Trace::pairs(drops)); - rows.push(std::move(row)); - } - } - if (kTraced && st.tr) { - st.tr->set("stage3", std::move(rows)); - st.tr->set("injected", Trace::integer(st.injected)); - } -} - // ---------------------------------------------------------------- stage 4: growth // fraction * v as the reduced rational "num/den" (or "num"): the exact text the transaction trace @@ -974,7 +946,7 @@ bool below_fraction(Amount recent, double fraction, Amount v) { } void stage4(Call& c, SourceRun& st) { - auto& pe = c.pe; + const auto& pe = c.pe; const auto& ca = std::get(pe.config.routing); const auto v = st.offer; Trace steps = Trace::list(); @@ -1126,18 +1098,16 @@ void stage4(Call& c, SourceRun& st) { // ---------------------------------------------------------------- per source void run_source(Call& c, SourceRun& st) { - auto& pe = c.pe; + const auto& pe = c.pe; if (st.flows.empty()) stage1(c, st); if (st.flows.empty()) return; - if (is(pe) && std::get(pe.config.routing).reoptimize) stage2(c, st); - if (pe.config.admission == Admission::Lossy) { - stage3_lossy(c, st); - } else if (*pe.config.placement == FlowPlacement::EqualBalanced) { + if (std::get(pe.config.routing).reoptimize) stage2(c, st); + if (*pe.config.placement == FlowPlacement::EqualBalanced) { stage3_eb(c, st); } else { stage3_seq(c, st); } - if (is(pe)) stage4(c, st); + stage4(c, st); } // A CapacityAware source's outcome (Lossless; Termination's reduction). @@ -1161,7 +1131,6 @@ WorkFlow working_copy(const PolicyEngine& pe, const LiveFlow& s) { f.plan = s.plan; f.bundle = s.bundle; f.cost = s.cost; - f.bundle_index = s.bundle_index; align(f.plan->members, rec.edges, f.alloc); if (pe.config.admission == Admission::Lossy) { f.offered = rec.offered.value_or(Counter128 {}); @@ -1208,30 +1177,70 @@ std::vector> next_cohorts(const std::vector& ru for (const auto& st : runs) { auto& c = out[st.ri]; c.reserve(st.flows.size()); - for (const auto& f : st.flows) c.push_back(LiveFlow {f.id, f.src, f.plan, f.bundle, f.cost, f.bundle_index}); + for (const auto& f : st.flows) c.push_back(LiveFlow {f.id, f.src, f.plan, f.bundle, f.cost, -1}); } return out; } -std::vector> merge_drops(std::vector> drops) { - std::sort(drops.begin(), drops.end()); - std::vector> out; - for (const auto& [e, x] : drops) { - if (!out.empty() && out.back().first == e) { - out.back().second += x; - } else { - out.emplace_back(e, x); - } +std::string key(NodeId v) { return std::to_string(v); } +// ================================================================ calls + +// What a call computes. place(v) continues the epoch `cur` (the policy's); evaluate, replace and +// forward start from a fresh epoch (forward keeps the installed program) on the released view. +enum class Op { Place, Evaluate, Replace, Forward }; + +struct Request { + Op op {Op::Place}; + std::optional v {}; // nullopt: +inf + const Eligibility* dark {nullptr}; // forward's black holes + const OutputOptions* outputs {nullptr}; + Trace* trace {nullptr}; + [[nodiscard]] bool full() const noexcept { return op != Op::Place; } +}; + +// A computed call, published or discarded whole: its result, the drafts of its commit (a place: +// every live record plus the new ones; a full-offer call: only new ones, the live ones retired), +// the epoch after it, and per new draft (in draft order) its flow in that epoch. +struct Staged { + PlacementResult out {}; + std::vector drafts {}; + Epoch next {}; + std::vector> fresh {}; +}; + +// The requested total after the call (a full-offer call: its offer alone) and whether it is +// infinite. +Counter128 requested_after(const Epoch& cur, std::optional v) noexcept { + Counter128 r = cur.requested; + if (v.has_value()) (void)r.add(*v); // checked at the call's entry + return r; +} + +// The epoch a full-offer call starts: one empty cohort per roster source (or program entry); +// forward keeps the installed program and CostOnly MaxFlow's support. +Epoch fresh_epoch(const PolicyEngine& pe, bool keep_program) { + Epoch e; + e.cohorts.resize(pe.epoch.cohorts.size()); + if (keep_program) { + e.program = pe.epoch.program; + e.support = pe.epoch.support; } - return out; + return e; } -std::string key(NodeId v) { return std::to_string(v); } +// The termination of a forwarding call (Termination's rule after the empty roster). +Termination forwarding_termination(bool active, bool lossy, std::optional v, Amount placed) noexcept { + if (!active) return Termination::NoActiveWeight; + if (lossy) return v.has_value() ? Termination::Complete : Termination::Exhausted; + return v.has_value() && placed == *v ? Termination::Complete : Termination::Exhausted; +} + +// ---------------------------------------------------------------- CapacityAware -PlacementResult place_flows(PolicyEngine& pe, std::optional v, const OutputOptions& outputs, Trace* trace, - const std::function* staged) { +Staged place_flows(const PolicyEngine& pe, const Epoch& cur, Working& W, const Request& rq) { const auto& g = *pe.graph; - Working W(pe.fg); + const auto v = rq.v; + Trace* trace = rq.trace; Call c {pe, g, W}; #if NETGRAPH_CORE_PRIVATE_HOOKS c.cap = max_flows_per_call().load(std::memory_order_relaxed); @@ -1239,21 +1248,17 @@ PlacementResult place_flows(PolicyEngine& pe, std::optional v, const Out c.trace = trace; const std::size_t k = pe.roster.size(); std::vector runs(k); - if (is(pe)) { - runs[0].offer = v; - } else if (v.has_value()) { - cumulative_offers(pe.requested, *v, k, [&](std::size_t i, Amount x) { runs[i].offer = x; }); - } + if (v.has_value()) cumulative_offers(cur.requested, *v, k, [&](std::size_t i, Amount x) { runs[i].offer = x; }); Trace sources_tr = Trace::map(); for (std::size_t i = 0; i < k; ++i) { auto& st = runs[i]; st.ri = i; st.src = pe.roster[i]; st.B = st.offer; - st.flows.reserve(pe.cohorts[i].size()); - for (const auto& s : pe.cohorts[i]) st.flows.push_back(working_copy(pe, s)); + st.flows.reserve(cur.cohorts[i].size()); + for (const auto& s : cur.cohorts[i]) st.flows.push_back(working_copy(pe, s)); for (const auto& f : st.flows) { - st.P += pe.config.admission == Admission::Lossy ? f.delivered : f.T; + st.P += f.T; st.T_entry += f.T; } } @@ -1265,70 +1270,43 @@ PlacementResult place_flows(PolicyEngine& pe, std::optional v, const Out st.tr = nullptr; } // The commit: retained flows (by source, FlowId order) then new flows in creation order. - std::vector drafts; - // (run, flow) of the new flows, per thread: cleared here, read until the epoch state is set. - thread_local std::vector> fresh_scratch; - auto& fresh = fresh_scratch; - fresh.clear(); + Staged s; + std::vector> fresh; for (std::size_t i = 0; i < k; ++i) { for (std::size_t j = 0; j < runs[i].flows.size(); ++j) { const auto& f = runs[i].flows[j]; if (f.is_new()) { fresh.emplace_back(i, j); } else { - drafts.push_back(draft_of(pe, f)); + s.drafts.push_back(draft_of(pe, f)); } } } std::sort(fresh.begin(), fresh.end(), [&](const auto& a, const auto& b) { return runs[a.first].flows[a.second].seq < runs[b.first].flows[b.second].seq; }); - for (const auto& [i, j] : fresh) drafts.push_back(draft_of(pe, runs[i].flows[j])); - // Everything the publication of the epoch state needs is allocated before the commit. - const bool lossy = pe.config.admission == Admission::Lossy; - Counter128 requested = pe.requested; - if (v.has_value()) (void)requested.add(*v); // checked in place_impl - Counter128 offered = pe.offered; - if (!offered.add(c.offered)) throw std::invalid_argument("offered limit exceeded"); - auto next = next_cohorts(runs, k); + for (const auto& [i, j] : fresh) s.drafts.push_back(draft_of(pe, runs[i].flows[j])); + s.fresh = std::move(fresh); + const Counter128 requested = requested_after(cur, v); Amount placed = 0; - std::vector outcomes; // CapacityAware's per-source outcomes (and the trace's) - if (is(pe)) outcomes.reserve(k); + std::vector outcomes; + outcomes.reserve(k); Termination term = Termination::Complete; - bool any_member = false; for (const auto& st : runs) { Amount after = 0; - for (const auto& f : st.flows) { - after += lossy ? f.delivered : f.T; - any_member = any_member || !f.plan->members.empty(); - } + for (const auto& f : st.flows) after += f.T; placed += after - st.P; - if (is(pe)) { - outcomes.push_back(local_outcome(st)); - if (rank(outcomes.back()) > rank(term)) term = outcomes.back(); - } - } - if (is(pe)) { - // Termination's rule (the one source has its usable bundles). - if (!any_member) { - term = Termination::NoActiveWeight; - } else if (lossy) { - term = v.has_value() ? Termination::Complete : Termination::Exhausted; - } else { - term = v.has_value() && placed == *v ? Termination::Complete : Termination::Exhausted; - } - if (kTraced && trace) outcomes.assign(k, term); // the trace's per-source outcomes + outcomes.push_back(local_outcome(st)); + if (rank(outcomes.back()) > rank(term)) term = outcomes.back(); } - PlacementResult out; + PlacementResult& out = s.out; out.placed = placed; if (v.has_value()) out.remaining = *v - placed; out.delivery_delta = placed; out.termination = term; out.routes_changed = c.routes_changed; out.weights_changed = c.weights_changed; - out.call_drops = merge_drops(std::move(c.drops)); - out.call_source_loss = c.source_loss; - fill_state(pe, draft_records(drafts), requested, pe.infinite || !v.has_value(), offered, out); + fill_state(pe, draft_records(s.drafts), requested, cur.infinite || !v.has_value(), Counter128 {}, out); if (kTraced && trace) { Trace offers_tr = Trace::map(); Trace outcomes_tr = Trace::map(); @@ -1344,71 +1322,153 @@ PlacementResult place_flows(PolicyEngine& pe, std::optional v, const Out W.dense(wf); trace->set("W_final", Trace::ints(wf)); } - if (any_output(outputs)) prepare_outputs(pe, outputs, draft_edges(drafts), out); - if (staged != nullptr && *staged) (*staged)(); - std::vector ids; - if (!drafts.empty()) ids = LedgerAccess::commit(pe.fg, pe.owner, drafts); - // Committed: the epoch state follows (nothing below throws). - for (std::size_t n = 0; n < fresh.size(); ++n) next[fresh[n].first][fresh[n].second].id = ids[n].second; - pe.cohorts.swap(next); - pe.requested = requested; - pe.offered = offered; - pe.prepared = true; - if (!v.has_value()) pe.infinite = true; - return out; -} + s.next.cohorts = next_cohorts(runs, k); + s.next.requested = requested; + s.next.prepared = true; + s.next.infinite = cur.infinite || !v.has_value(); + return s; +} + +// ---------------------------------------------------------------- the controllers' paths + +// The flow cut into paths (4.1), source by source in ascending NodeId: while a source has supply +// left, take the smallest EdgeId sequence with positive remaining flow, stopping at the first +// destination; assign min(supply left, smallest remaining edge flow on that walk), subtract it +// from the walk, record the walk as one path. Each node's out-edge cursor only advances: +// remaining flow never increases. `edges` (ascending) are the flows' edges (empty: every edge, the +// flows per EdgeId); `rem` is aligned with them. Per source also its share (the edges and amounts +// its paths use, ascending). +struct Decomposition { + std::vector paths {}; + std::vector>> shares {}; + std::vector supplies {}; +}; -// ---------------------------------------------------------------- Global +// decompose()'s per-thread scratch: per node its cursor and its range's end (the positions of its +// positive out-edges; cursor -1: none), the destination marks, its roster slot (-1: none), the +// nodes whose cursor is set, the walk and a source's path pieces. A call resets what it set (also when it throws), so it costs O(the nodes +// it walks and the flow's positions), not O(N). +struct DecomposeScratch { + std::vector cur; + std::vector end; + std::vector is_dst; + std::vector slot; + std::vector touched; + std::vector walk; + std::vector> acc; +}; -// Split flow by source in ascending NodeId. While a source has supply left, take the smallest -// EdgeId sequence with positive remaining flow, stopping at the first destination. Assign -// min(supply left, smallest remaining edge flow on that walk), then subtract it from the walk. -// Each node's out-edge cursor only advances: remaining flow never increases. -std::vector>> decompose(const Graph& g, std::vector rem, - std::span roster, - std::span dests) { - const auto row = g.row_offsets(); +Decomposition decompose(const Graph& g, std::span edges, std::vector rem, + std::span roster, std::span dests) { + const bool dense = edges.empty() && rem.size() == static_cast(g.num_edges()); + const auto edge_src = g.edge_src(); const auto edge_dst = g.edge_dst(); - const auto in_row = g.in_row_offsets(); - const auto in_adj = g.in_adj_edge_index(); - std::vector is_dst(static_cast(g.num_nodes()), 0); - for (NodeId d : dests) is_dst[static_cast(d)] = 1; - std::vector cur(row.begin(), row.end() - 1); - std::vector>> out(roster.size()); - std::vector walk; + // Position p of the flows: EdgeId p (dense) or edges[p]. Out-edges have consecutive EdgeIds, so + // a node's positions are one range. + auto edge_at = [&](std::size_t p) { return dense ? static_cast(p) : edges[p]; }; + thread_local DecomposeScratch sc; + const auto n = static_cast(g.num_nodes()); + // Each grown on its own (a failed growth leaves the others' sizes as they were). + if (sc.cur.size() < n) sc.cur.resize(n, -1); + if (sc.end.size() < n) sc.end.resize(n, 0); + if (sc.is_dst.size() < n) sc.is_dst.resize(n, 0); + if (sc.slot.size() < n) sc.slot.resize(n, -1); + struct Reset { + DecomposeScratch& sc; + std::span dests; + std::span roster; + ~Reset() { + for (NodeId u : sc.touched) sc.cur[static_cast(u)] = -1; + sc.touched.clear(); + for (NodeId d : dests) sc.is_dst[static_cast(d)] = 0; + for (NodeId s : roster) sc.slot[static_cast(s)] = -1; + } + } reset {sc, dests, roster}; + for (NodeId d : dests) sc.is_dst[static_cast(d)] = 1; + for (std::size_t i = 0; i < roster.size(); ++i) sc.slot[static_cast(roster[i])] = static_cast(i); + // A node without positive out-edges has an empty range. + auto cursor = [&](NodeId u) -> std::int64_t& { + auto& c = sc.cur[static_cast(u)]; + if (c < 0) { + sc.touched.push_back(u); + c = 0; + sc.end[static_cast(u)] = 0; + } + return c; + }; + Decomposition out; + out.shares.resize(roster.size()); + out.supplies.resize(roster.size()); + // One pass over the flow's positions before any walk: each node's range of positive out-edges + // (the zero positions around them are skipped by the walks anyway); each source's supply, its + // net outflow (transit through it from another source is not supply; a walk through another + // source lowers its in- and outflow alike, as sources are never destinations); the number of + // positive positions. + std::size_t positive = 0; + for (std::size_t p = 0; p < rem.size(); ++p) { + if (rem[p] == 0) continue; + ++positive; + const auto e = static_cast(edge_at(p)); + const auto u = static_cast(edge_src[e]); + if (sc.cur[u] < 0) { + sc.touched.push_back(edge_src[e]); + sc.cur[u] = static_cast(p); + } + sc.end[u] = p + 1; + const auto from = sc.slot[u]; + const auto to = sc.slot[static_cast(edge_dst[e])]; + if (from >= 0) out.supplies[static_cast(from)] += rem[p]; + if (to >= 0) out.supplies[static_cast(to)] -= rem[p]; + } + // A one-source flow is all that source's share: the walks cover the flow (checked below), so the + // sum of its paths is the flow's positive positions, ascending (the per-path sum's degenerate + // form). + const bool one = roster.size() == 1; + // Every path zeroes a position or ends a source's supply. + out.paths.reserve(positive + roster.size()); + if (one) { + out.shares[0].reserve(positive); + for (std::size_t p = 0; p < rem.size(); ++p) { + if (rem[p] != 0) out.shares[0].emplace_back(edge_at(p), rem[p]); + } + } + auto& walk = sc.walk; + auto& acc = sc.acc; for (std::size_t i = 0; i < roster.size(); ++i) { const NodeId s = roster[i]; - const auto si = static_cast(s); - // The supply of s: its net outflow (transit through s from another source is not supply). - Amount left = 0; - for (auto e = row[si]; e < row[si + 1]; ++e) left += rem[static_cast(e)]; - for (auto k = in_row[si]; k < in_row[si + 1]; ++k) left -= rem[static_cast(in_adj[static_cast(k)])]; - std::vector> acc; + Amount left = out.supplies[i]; + acc.clear(); while (left > 0) { walk.clear(); NodeId u = s; - while (walk.empty() || is_dst[static_cast(u)] == 0) { - auto& p = cur[static_cast(u)]; - while (p < row[static_cast(u) + 1] && rem[static_cast(p)] == 0) ++p; - if (p == row[static_cast(u) + 1]) { + while (walk.empty() || sc.is_dst[static_cast(u)] == 0) { + auto& p = cursor(u); + const auto stop = sc.end[static_cast(u)]; + while (static_cast(p) < stop && rem[static_cast(p)] == 0) ++p; + if (static_cast(p) == stop) { throw std::logic_error("Global decomposition: flow conservation broken (no continuation)"); } - walk.push_back(p); - u = edge_dst[static_cast(p)]; - if (walk.size() > static_cast(g.num_nodes())) { - throw std::logic_error("Global decomposition: a cycle with positive flow"); - } + walk.push_back(static_cast(p)); + u = edge_dst[static_cast(edge_at(static_cast(p)))]; + if (walk.size() > n) throw std::logic_error("Global decomposition: a cycle with positive flow"); } Amount amount = left; - for (EdgeId e : walk) amount = std::min(amount, rem[static_cast(e)]); - for (EdgeId e : walk) { - rem[static_cast(e)] -= amount; - acc.emplace_back(e, amount); + for (std::size_t p : walk) amount = std::min(amount, rem[p]); + ControllerPath path; + path.slot = static_cast(i); + path.amount = amount; + path.edges.reserve(walk.size()); + for (std::size_t p : walk) { + rem[p] -= amount; + path.edges.push_back(edge_at(p)); + if (!one) acc.emplace_back(edge_at(p), amount); } + out.paths.push_back(std::move(path)); left -= amount; } + if (one) continue; std::sort(acc.begin(), acc.end()); - auto& res = out[i]; + auto& res = out.shares[i]; for (const auto& [e, x] : acc) { if (!res.empty() && res.back().first == e) { res.back().second += x; @@ -1425,18 +1485,18 @@ std::vector>> decompose(const Graph& g, st // ---------------------------------------------------------------- CostOnly preparation -// A CostOnly demand's routes for the epoch, prepared at its first positive call on the working -// residual at that call's entry: per roster source its route (the record's bundle and route -// cost), and the pooled program (EqualBalanced, Weighted: one plan rooted at the roster) or the -// routes' union (MaxFlow, the controller's support). +// A CostOnly demand's routes for the epoch, prepared at its first positive call (or a replace) +// on the working residual at that call's entry: per roster source its route (the record's bundle +// and route cost), and its program (EqualBalanced, Weighted: one split route per source in one +// plan rooted at the roster) or the routes' union (MaxFlow, the controller's support). struct Prepared { std::vector flows {}; // per roster source, new (id -1) - std::shared_ptr program {}; + std::shared_ptr program {}; std::vector edges {}; // ascending: the union of the routes }; Prepared prepare_cost_only(Call& c) { - auto& pe = c.pe; + const auto& pe = c.pe; const auto& g = c.g; const std::size_t k = pe.roster.size(); const FlowPlacement placement = *pe.config.placement; @@ -1463,9 +1523,19 @@ Prepared prepare_cost_only(Call& c) { routes[i] = std::move(r.edges); } } + // The program: one entry per roster source with its record bundle (its route, the replay basis) + // and route cost. + auto program_of = [&](std::shared_ptr plan) { + std::vector entries(k); + for (std::size_t i = 0; i < k; ++i) { + entries[i].bundle = out.flows[i].bundle; + entries[i].cost = out.flows[i].cost; + } + return cost_only_program(g, pe.sources, pe.destinations, pe.roster, std::move(plan), std::move(entries)); + }; // One split-routing source: its one-pass creation plan is the program (its route is the union). if (single) { - out.program = std::move(single); + out.program = program_of(std::move(single)); return out; } for (const auto& r : routes) out.edges.insert(out.edges.end(), r.begin(), r.end()); @@ -1497,13 +1567,17 @@ Prepared prepare_cost_only(Call& c) { const auto dag = std::equal(out.edges.begin(), out.edges.end(), support.begin(), support.end()) ? pe.support : std::make_shared(PredDAGBuilder::of_edges(g, out.edges)); + // Weighted weights: the static source, or the free capacity read now (ResidualSnapshot, frozen + // for the epoch). std::vector creation; - if (placement == FlowPlacement::Weighted && pe.selection.priority == EdgePriority::Residual) { + WeightSource weights = cost_only_weights(pe); + if (placement == FlowPlacement::Weighted && weights.basis == WeightBasis::ResidualSnapshot) { creation.resize(out.edges.size()); for (std::size_t i = 0; i < out.edges.size(); ++i) creation[i] = c.W.at(out.edges[i]); + weights.values = creation; } - out.program = std::make_shared(make_plan(g, placement, pe.config.admission, pe.selection.priority, - pe.roster, pe.dests_ok, *dag, creation)); + out.program = program_of(std::make_shared( + make_plan(g, placement, pe.config.admission, weights, pe.roster, pe.dests_ok, *dag))); return out; } @@ -1568,58 +1642,90 @@ std::vector> positive(std::span members, return out; } -// The commit of a demand with one flow per roster source (CostOnly, Global): the drafts in -// roster order (all retained, or all new at the epoch's first call), then the epoch's flows. -std::vector> commit_sources(PolicyEngine& pe, std::vector& drafts, - const std::vector& flows) { - std::vector> next(flows.size()); - for (std::size_t i = 0; i < flows.size(); ++i) next[i].push_back(flows[i]); - const auto ids = LedgerAccess::commit(pe.fg, pe.owner, drafts); - // Committed: nothing below throws. New records take their ids in roster order. - for (std::size_t i = 0, n = 0; i < next.size(); ++i) { - if (next[i].front().id < 0) next[i].front().id = ids[n++].second; +// The sum of several ascending (EdgeId, amount) lists. +std::vector> merged(std::vector> all) { + std::sort(all.begin(), all.end(), [](const auto& a, const auto& b) { return a.first < b.first; }); + std::vector> out; + out.reserve(all.size()); + for (const auto& [e, x] : all) { + if (!out.empty() && out.back().first == e) { + out.back().second += x; + } else { + out.emplace_back(e, x); + } + } + return out; +} + +// One record per roster source (CostOnly, Global): the drafts in roster order, kept ids when +// the epoch already has them, else new (with their place in the next epoch). +void source_drafts(const PolicyEngine& pe, const std::vector& flows, Staged& s) { + const std::size_t k = flows.size(); + s.drafts.resize(k); + s.next.cohorts.assign(k, {}); + for (std::size_t i = 0; i < k; ++i) { + if (flows[i].id >= 0) { + s.drafts[i].id = flows[i].id; + } else { + s.fresh.emplace_back(i, 0); + } + s.drafts[i].record = source_record(pe, flows[i]); + s.next.cohorts[i].push_back(flows[i]); } - return next; +} + +// The programs of a call and the flags they give (10.4). +void set_flags(PlacementResult& out, const ForwardingProgram* before, const ForwardingProgram* after) noexcept { + const auto change = compare_programs(before, after); + out.routes_changed = change.routes; + out.weights_changed = change.weights; +} + +// The by_tunnel rows of a controller's program: every path up, assigned = delivered = its amount. +std::vector controller_rows(const ForwardingProgram& program) { + std::vector rows; + rows.reserve(program.tunnels().size()); + for (const auto& t : program.tunnels()) rows.push_back(TunnelFlow {t.index, t.head, TunnelStatus::Up, c128(t.weight), t.weight, {}}); + return rows; } // ---------------------------------------------------------------- CostOnly EqualBalanced and Weighted -PlacementResult place_pooled(PolicyEngine& pe, std::optional v, const OutputOptions& outputs, Trace* trace, - const std::function* staged) { +Staged place_pooled(const PolicyEngine& pe, const Epoch& cur, Working& W, const Request& rq, + const ForwardingProgram* before_program) { const auto& g = *pe.graph; - Working W(pe.fg); + const auto v = rq.v; + Trace* trace = rq.trace; Call c {pe, g, W}; c.trace = trace; const std::size_t k = pe.roster.size(); const bool lossy = pe.config.admission == Admission::Lossy; - const bool created = pe.cohorts.front().empty(); + const bool created = cur.cohorts.front().empty(); Prepared prep; std::vector flows(k); if (created) { prep = prepare_cost_only(c); flows = prep.flows; } else { - for (std::size_t i = 0; i < k; ++i) flows[i] = pe.cohorts[i].front(); + for (std::size_t i = 0; i < k; ++i) flows[i] = cur.cohorts[i].front(); } - const auto program = created ? prep.program : pe.program; - const KernelPlan& plan = *program; + const auto program = created ? prep.program : cur.program; + const KernelPlan& plan = *ProgramAccess::data(*program).contexts.front().plan; const auto members = std::span(plan.members); std::vector before(k, nullptr); if (!created) { for (std::size_t i = 0; i < k; ++i) before[i] = &LedgerAccess::live(pe.fg, flows[i].id); } - std::vector drafts(k); - for (std::size_t i = 0; i < k; ++i) { - if (!created) drafts[i].id = flows[i].id; - drafts[i].record = source_record(pe, flows[i]); - } + Staged s; + source_drafts(pe, flows, s); + auto& drafts = s.drafts; // A one-source program is its own attribution. Attribution attr; Attribution* per_source = k > 1 ? &attr : nullptr; std::vector inject(k, 0); Forwarding fw; Amount placed = 0; - Counter128 offered = pe.offered; + Counter128 offered = cur.offered; Trace step_tr = Trace::map(); if (!lossy) { // The largest total in [admitted, admitted + v] whose no-drop forwarding fits V = W + own. @@ -1663,7 +1769,7 @@ PlacementResult place_pooled(PolicyEngine& pe, std::optional v, const Ou // The new round-robin injections of the offer (or the first-hop experiment) on W. Injection in; if (v.has_value()) { - cumulative_offers(pe.offered, *v, k, [&](std::size_t i, Amount x) { inject[i] = x; }); + cumulative_offers(cur.offered, *v, k, [&](std::size_t i, Amount x) { inject[i] = x; }); in.per_root = inject; } else { in.first_hop = true; @@ -1706,9 +1812,8 @@ PlacementResult place_pooled(PolicyEngine& pe, std::optional v, const Ou } } } - Counter128 requested = pe.requested; - if (v.has_value()) (void)requested.add(*v); // checked in place_impl - PlacementResult out; + const Counter128 requested = requested_after(cur, v); + PlacementResult& out = s.out; out.placed = placed; if (v.has_value()) out.remaining = *v - placed; out.delivery_delta = placed; @@ -1721,41 +1826,38 @@ PlacementResult place_pooled(PolicyEngine& pe, std::optional v, const Ou } else { out.termination = v.has_value() && placed == *v ? Termination::Complete : Termination::Exhausted; } - out.routes_changed = created; - fill_state(pe, draft_records(drafts), requested, pe.infinite || !v.has_value(), offered, out); + if (created) set_flags(out, before_program, program.get()); + out.program = program; + fill_state(pe, draft_records(drafts), requested, cur.infinite || !v.has_value(), offered, out); if (kTraced && trace) { trace->set("prepare", created ? routes_trace(prep) : Trace::null()); trace->set(lossy ? "offers" : "T", std::move(step_tr)); } - if (any_output(outputs)) prepare_outputs(pe, outputs, draft_edges(drafts), out); - if (staged != nullptr && *staged) (*staged)(); - auto next = commit_sources(pe, drafts, flows); - pe.cohorts.swap(next); - pe.program = program; - pe.requested = requested; - pe.offered = offered; - pe.prepared = true; - if (!v.has_value()) pe.infinite = true; - return out; + s.next.program = program; + s.next.requested = requested; + s.next.offered = offered; + s.next.prepared = true; + s.next.infinite = cur.infinite || !v.has_value(); + return s; } // ---------------------------------------------------------------- the controllers // One solve of a controller from zero on the view V with value cap `cap` (nullopt: uncapped); -// `caps` (the equal origin) caps source i's arc at caps[i]. Global solves over every eligible -// edge, its V and flows per EdgeId; CostOnly MaxFlow over `support`, its V and flows aligned with -// the support. +// `caps` (the equal origin) caps source i's arc at caps[i]. Unrestricted Global solves over every +// eligible edge, its V and flows per EdgeId; Global with a support and CostOnly MaxFlow over +// `support`, their V and flows aligned with it. struct Solve { Amount placed {0}; std::vector flows {}; - FlowCoreResult payload {}; // Global: the flow core's payload (the curve, the cut, the trace's values) + FlowCoreResult payload {}; // unrestricted Global: the flow core's payload (the curve, the cut, the trace's values) }; Solve solve(const PolicyEngine& pe, std::span support, std::span V, std::optional cap, std::span caps) { const auto& g = *pe.graph; Solve out; - if (is(pe)) { + if (dense_global(pe)) { out.payload = place_global_units(g, V, pe.roster, pe.dests_ok, pe.elig, cap, caps.empty() ? pe.capture : nullptr, caps); out.placed = out.payload.placed; out.flows = out.payload.edge_flows; @@ -1800,14 +1902,15 @@ Solve solve_equal(const PolicyEngine& pe, std::span support, std:: } // The upper end of the equal search: the view summed over the edges leaving the roster sources -// (Global: the eligible ones, V per EdgeId; CostOnly MaxFlow: the support's, V aligned with it); -// the supplies leave through them. +// (unrestricted Global: the eligible ones, V per EdgeId; otherwise the support's, V aligned with +// it); the supplies leave through them. Amount roster_out(const PolicyEngine& pe, std::span support, std::span V) { const auto row = pe.graph->row_offsets(); + const bool dense = dense_global(pe); Amount sum = 0; for (NodeId s : pe.roster) { const auto si = static_cast(s); - if (is(pe)) { + if (dense) { for (auto e = row[si]; e < row[si + 1]; ++e) { if (pe.elig == nullptr || pe.elig->edge_ok(e)) sum += V[static_cast(e)]; } @@ -1821,41 +1924,61 @@ Amount roster_out(const PolicyEngine& pe, std::span support, std:: return sum; } -PlacementResult place_controller(PolicyEngine& pe, std::optional v, const OutputOptions& outputs, Trace* trace, - const std::function* staged) { +// The program basis of a controller: unrestricted Global the topology under its mask; Global with +// a support that support; CostOnly MaxFlow each source's route. +ControllerBasis controller_basis(const PolicyEngine& pe, const std::vector& flows) { + ControllerBasis b; + if (dense_global(pe)) { + b.topology = true; + b.excluded_nodes = pe.excluded_nodes; + b.excluded_edges = pe.excluded_edges; + } else if (is(pe)) { + b.common = pe.global_support; + } else { + b.per_source.reserve(flows.size()); + for (const auto& f : flows) b.per_source.push_back(f.bundle); + } + return b; +} + +Staged place_controller(const PolicyEngine& pe, const Epoch& cur, Working& W, const Request& rq, + const ForwardingProgram* before_program) { const auto& g = *pe.graph; + const auto v = rq.v; + Trace* trace = rq.trace; + const bool dense = dense_global(pe); const bool global = is(pe); const bool equal = pe.origin == Origin::Equal; const std::size_t k = pe.roster.size(); - const bool created = pe.cohorts.front().empty(); + const bool created = cur.cohorts.front().empty(); // CostOnly MaxFlow: the support of the epoch (its routes, prepared at its first call). Prepared prep; if (!global && created) { - Working W(pe.fg); Call c {pe, g, W}; prep = prepare_cost_only(c); } - const std::span support = global ? std::span {} - : created ? std::span(prep.edges) - : std::span(pe.program_edges); + const std::span support = dense ? std::span {} + : global ? std::span(*pe.global_support) + : created ? std::span(prep.edges) + : std::span(cur.support); std::vector flows(k); for (std::size_t i = 0; i < k; ++i) { if (!created) { - flows[i] = pe.cohorts[i].front(); + flows[i] = cur.cohorts[i].front(); } else if (!global) { flows[i] = prep.flows[i]; } else { flows[i].src = pe.roster[i]; } } - // V = W + own: the residual plus the policy's own allocation, per EdgeId (Global) or aligned - // with the support (CostOnly MaxFlow: a record's edges lie in its source's route, inside the - // support, both ascending). + // V = W + own: the working residual plus the policy's own allocation (its live records, or none + // in a full-offer call, whose view already holds them released), per EdgeId (unrestricted + // Global) or aligned with the support (a record's edges lie in it, both ascending). std::vector V; - if (global) { - LedgerAccess::residual_into(pe.fg, V); + if (dense) { + W.dense(V); } else { - Working(pe.fg).gather(support, V); + W.gather(support, V); } Amount P = 0; for (const auto& f : flows) { @@ -1864,18 +1987,18 @@ PlacementResult place_controller(PolicyEngine& pe, std::optional v, cons P += rec.delivered; std::size_t p = 0; for (const auto& [e, x] : rec.edges) { - if (global) { + if (dense) { V[static_cast(e)] += x; continue; } while (p < support.size() && support[p] < e) ++p; - if (p == support.size() || support[p] != e) throw std::logic_error("CostOnly MaxFlow: a record edge outside the support"); + if (p == support.size() || support[p] != e) throw std::logic_error("controller: a record edge outside the support"); V[p] += x; } } const std::optional cap = v.has_value() ? std::optional(P + *v) : std::nullopt; if (pe.capture != nullptr) { - if (equal || !global) throw std::logic_error("a deletion capture of a controller other than optimized Global"); + if (equal || !dense) throw std::logic_error("a deletion capture of a controller other than optimized Global"); pe.capture->graph = pe.graph; } Trace probes = Trace::list(); @@ -1887,78 +2010,70 @@ PlacementResult place_controller(PolicyEngine& pe, std::optional v, cons sol = solve(pe, support, V, cap, {}); } if (sol.placed < P) throw std::logic_error("controller: a call reduced placed_demand()"); - // The records: each source's share of the flow (decompose(); one source's is the whole flow). - std::vector>> shares; - // CostOnly MaxFlow's flows per EdgeId where decompose() or the trace reads them. - std::vector dense; - if (!global && (k > 1 || (kTraced && trace))) { - dense.assign(static_cast(g.num_edges()), 0); - for (std::size_t p = 0; p < support.size(); ++p) dense[static_cast(support[p])] = sol.flows[p]; - } - if (k == 1) { - if (global) { - shares.emplace_back(); - for (std::size_t e = 0; e < sol.flows.size(); ++e) { - if (sol.flows[e] != 0) shares.front().emplace_back(static_cast(e), sol.flows[e]); - } - } else { - shares.push_back(positive(support, sol.flows)); - } - } else { - shares = decompose(g, global ? sol.flows : dense, pe.roster, pe.dests_ok); - } - bool changed = created; - std::vector supplies(k, 0); - std::vector drafts(k); - const auto row = g.row_offsets(); + // The program: each source's supply cut into paths (4.1); each source's share is the sum of its + // paths. + // The solved flows move into the decomposition (a trace reads them afterwards: a copy). + const bool traced = kTraced && trace != nullptr; + auto dec = decompose(g, support, traced ? sol.flows : std::move(sol.flows), pe.roster, pe.dests_ok); + Staged s; + // A supplied support, which a share that uses every one of its edges reuses as its bundle (a + // PredDAG is fixed by its graph and edge set: the same value). + const auto* gl = std::get_if(&pe.config.routing); + const std::shared_ptr supplied = gl != nullptr ? gl->support : nullptr; for (std::size_t i = 0; i < k; ++i) { - const NodeId s = pe.roster[i]; + const NodeId src = pe.roster[i]; auto& f = flows[i]; - // The supply of s: what its share delivers (its out-edges' share). - Amount supply = 0; - for (const auto& [e, x] : shares[i]) { - if (e >= row[static_cast(s)] && e < row[static_cast(s) + 1]) supply += x; - } - supplies[i] = supply; if (global) { // Global's record bundle is the edges its share uses. - std::vector route; - route.reserve(shares[i].size()); - for (const auto& [e, x] : shares[i]) route.push_back(e); - const auto old = f.bundle ? PredDAGBuilder::ascending(*f.bundle) : std::span {}; - if (!f.bundle || !std::equal(route.begin(), route.end(), old.begin(), old.end())) { - if (f.bundle) changed = true; + const auto& share = dec.shares[i]; + auto same = [&](std::span edges) { + return std::equal(share.begin(), share.end(), edges.begin(), edges.end(), + [](const auto& ex, EdgeId e) { return ex.first == e; }); + }; + if (f.bundle && same(PredDAGBuilder::ascending(*f.bundle))) continue; + if (supplied && same(PredDAGBuilder::ascending(*supplied))) { + f.bundle = supplied; + } else { + std::vector route; + route.reserve(share.size()); + for (const auto& [e, x] : share) route.push_back(e); f.bundle = std::make_shared(PredDAGBuilder::of_edges(g, route)); - f.cost = route.empty() ? kUnreachable : route_cost(g, *f.bundle, s, pe.dests_ok); } + f.cost = share.empty() ? kUnreachable : route_cost(g, *f.bundle, src, pe.dests_ok); } - if (f.id >= 0) drafts[i].id = f.id; - drafts[i].record = source_record(pe, f); - drafts[i].record.delivered = supply; - drafts[i].record.edges = shares[i]; } - Counter128 requested = pe.requested; - if (v.has_value()) (void)requested.add(*v); // checked in place_impl - PlacementResult out; + source_drafts(pe, flows, s); + for (std::size_t i = 0; i < k; ++i) { + s.drafts[i].record.delivered = dec.supplies[i]; + s.drafts[i].record.edges = std::move(dec.shares[i]); + } + const auto& supplies = dec.supplies; + auto program = controller_program(g, pe.sources, pe.destinations, pe.roster, std::move(dec.paths), + equal ? std::span {} : std::span(supplies), + controller_basis(pe, flows)); + const Counter128 requested = requested_after(cur, v); + PlacementResult& out = s.out; out.placed = sol.placed - P; if (v.has_value()) out.remaining = *v - out.placed; out.delivery_delta = out.placed; out.termination = v.has_value() && out.placed == *v ? Termination::Complete : Termination::Exhausted; - out.routes_changed = changed; - const auto after = draft_records(drafts); - fill_state(pe, after, requested, pe.infinite || !v.has_value(), pe.offered, out); + set_flags(out, before_program, program.get()); + out.program = program; + out.by_tunnel = controller_rows(*program); + const auto after = draft_records(s.drafts); + fill_state(pe, after, requested, cur.infinite || !v.has_value(), Counter128 {}, out); out.total_cost = total_cost_of(g, after); - const bool curve = global && !equal; + const bool curve = dense && !equal; if (curve) out.cost_distribution = sol.payload.cost_distribution; - if (curve && outputs.min_cut) out.min_cut = sol.payload.min_cut; + if (curve && rq.outputs != nullptr && rq.outputs->min_cut) out.min_cut = sol.payload.min_cut; if (kTraced && trace) { if (!global) trace->set("prepare", created ? routes_trace(prep) : Trace::null()); if (equal) trace->set("probes", std::move(probes)); - if (global) trace->set("V", Trace::ints(V)); + if (dense) trace->set("V", Trace::ints(V)); trace->set("cap", cap.has_value() ? Trace::integer(*cap) : Trace::null()); Trace fc = Trace::map(); fc.set("placed", Trace::integer(sol.placed)); - if (global) { + if (dense) { const auto& r = sol.payload; fc.set("cost_distribution", Trace::pairs(r.cost_distribution)); fc.set("edge_flows", Trace::ints(r.edge_flows)); @@ -1973,32 +2088,278 @@ PlacementResult place_controller(PolicyEngine& pe, std::optional v, cons counters.set("augmentations", Trace::integer(r.counters.augmentations)); fc.set("counters", std::move(counters)); } else { - fc.set("edge_flows", Trace::ints(dense)); + std::vector flows_dense(static_cast(g.num_edges()), 0); + for (std::size_t p = 0; p < support.size(); ++p) flows_dense[static_cast(support[p])] = sol.flows[p]; + fc.set("edge_flows", Trace::ints(flows_dense)); } Trace supply = Trace::map(); Trace shares_tr = Trace::map(); for (std::size_t i = 0; i < k; ++i) { supply.set(key(pe.roster[i]), Trace::integer(supplies[i])); - shares_tr.set(key(pe.roster[i]), Trace::pairs(shares[i])); + shares_tr.set(key(pe.roster[i]), Trace::pairs(s.drafts[i].record.edges)); } fc.set("supply", std::move(supply)); trace->set("flow_core", std::move(fc)); trace->set("shares", std::move(shares_tr)); } - if (any_output(outputs)) prepare_outputs(pe, outputs, draft_edges(drafts), out); - std::vector> next_curve; - if (curve) next_curve = *out.cost_distribution; // the cumulative curve a later zero call reports - std::vector next_edges; - if (!global && created) next_edges = prep.edges; - if (staged != nullptr && *staged) (*staged)(); - auto next = commit_sources(pe, drafts, flows); - pe.cohorts.swap(next); - pe.curve.swap(next_curve); - if (!global && created) pe.program_edges.swap(next_edges); - pe.requested = requested; - pe.prepared = true; - if (!v.has_value()) pe.infinite = true; - return out; + if (curve) s.next.curve = *out.cost_distribution; // the cumulative curve a later zero call reports + if (!global) s.next.support = created ? prep.edges : cur.support; + s.next.program = program; + s.next.by_tunnel = out.by_tunnel; + s.next.requested = requested; + s.next.prepared = true; + s.next.infinite = cur.infinite || !v.has_value(); + return s; +} + +// ---------------------------------------------------------------- forwarding a program + +// The by_tunnel rows of a forwarding: per tunnel its status in the view and its amounts +// (`assigned`, `delivered`, `dropped` per program entry). +std::vector tunnel_rows(const ForwardingView& view, std::span assigned, + std::span delivered, std::span dropped) { + const ProgramData& p = *view.data; + std::vector rows; + rows.reserve(p.tunnels.size()); + for (std::size_t t = 0; t < p.tunnels.size(); ++t) { + const auto e = static_cast(p.tunnel_entry[t]); + rows.push_back(TunnelFlow {p.tunnels[t].index, p.tunnels[t].head, view.status(e), assigned[e], delivered[e], dropped[e]}); + } + return rows; +} + +// The free capacity of the forwarding's edges in the call's working residual. +FreeFn free_of(const Working& W) { + return [&W](std::span edges, std::span out) { + for (std::size_t i = 0; i < edges.size(); ++i) out[i] = W.at(edges[i]); + }; +} + +// Pinned: forwarding its program (place, evaluate, replace), one record per program entry. +Staged place_pinned(const PolicyEngine& pe, const Epoch& cur, Working& W, const Request& rq, + const ForwardingProgram* before_program) { + const auto& g = *pe.graph; + const auto v = rq.v; + const ForwardingView& view = pe.view; + const ProgramData& p = *view.data; + const std::size_t n = p.entries.size(); + const std::size_t k = view.num_heads(); + const bool lossy = pe.config.admission == Admission::Lossy; + const bool created = !cur.prepared; + // The entries' live records (none before the first call). + std::vector before; + if (!created) { + before.resize(n); + for (std::size_t e = 0; e < n; ++e) before[e] = &LedgerAccess::live(pe.fg, cur.cohorts[e].front().id); + } + ProgramFlow flow; + Amount placed = 0; + Counter128 offered = cur.offered; + if (!lossy) { + // The largest total in [admitted, admitted + v] on the residual plus the policy's own load. + Amount admitted = 0; + for (const FlowRecord* r : before) { + if (r == nullptr) continue; + admitted += r->delivered; + } + if (!created) W.release_records(before); + const std::optional hi = v.has_value() ? std::optional(admitted + *v) : std::nullopt; + flow = detail::lossless(g, view, free_of(W), admitted, hi); + placed = flow.total - admitted; + } else { + std::vector inject(k, 0); + if (rq.full()) { + head_shares(view, *v, inject); + } else { + head_increments(view, cur.offered, *v, inject); + } + flow = detail::lossy(g, view, free_of(W), inject); + placed = flow.delivered; + // The whole offer is sent: what no head receives (every remaining captured weight 0) is lost at + // the sources, outside every row. + flow.source_loss += *v - flow.offered; + accumulate(offered, c128(*v), "offered"); + } + Staged s; + s.drafts.resize(n); + s.next.cohorts.assign(n, {}); + // The by_tunnel amounts per entry, kept only when the program has tunnels (only they have rows). + const bool rows = !p.tunnels.empty(); + std::vector assigned(rows ? n : 0); + std::vector delivered(rows ? n : 0, 0); + std::vector dropped(rows ? n : 0); + std::vector> call_drops; + for (std::size_t e = 0; e < n; ++e) { + const auto& entry = p.entries[e]; + auto& f = flow.entries[e]; + LiveFlow live; + live.src = entry.head; + live.bundle = view.bundle(e); + live.cost = view.cost(e); + live.entry = entry.index; + // A split route's plan (its members and weights as forwarded); a tunnel has none. + if (entry.context >= 0) live.plan = view.plan(static_cast(entry.context)); + if (!created) { + live.id = cur.cohorts[e].front().id; + s.drafts[e].id = live.id; + } else { + s.fresh.emplace_back(e, 0); + } + s.next.cohorts[e].push_back(live); + FlowRecord& r = s.drafts[e].record; + r.sources = {entry.head}; + r.destinations = pe.dests_ok; + r.admission = pe.config.admission; + r.bundle = live.bundle; + r.route_cost = live.cost; + r.entry = entry.index; + const FlowRecord* b = created ? nullptr : before[e]; + if (!lossy) { + r.edges = std::move(f.carried); + r.delivered = f.delivered; + if (rows) { + assigned[e] = c128(f.delivered); + delivered[e] = f.delivered; + } + continue; + } + r.drops = plus(b != nullptr ? b->drops : std::vector> {}, f.dropped); + r.offered = b != nullptr ? b->offered.value_or(Counter128 {}) : Counter128 {}; + accumulate(*r.offered, c128(f.assigned), "offered"); + r.delivered = (b != nullptr ? b->delivered : 0) + f.delivered; + r.edges = b != nullptr ? plus(b->edges, f.carried) : std::move(f.carried); + call_drops.insert(call_drops.end(), f.dropped.begin(), f.dropped.end()); + Counter128 drops; + for (const auto& [x, d] : r.drops) accumulate(drops, d, "drops"); + if (rows) { + assigned[e] = *r.offered; + delivered[e] = r.delivered; + dropped[e] = drops; + } + } + // The shares the heads lost themselves (Lossy): per view head, cumulative. + std::vector> lost; + if (lossy) { + s.next.head_lost = cur.head_lost.empty() ? std::vector(k) : cur.head_lost; + for (std::size_t h = 0; h < k; ++h) { + accumulate(s.next.head_lost[h], c128(flow.head_lost[h]), "offered"); + if (!s.next.head_lost[h].is_zero()) lost.emplace_back(view.head(h), s.next.head_lost[h]); + } + } + const Counter128 requested = requested_after(cur, v); + PlacementResult& out = s.out; + out.placed = placed; + if (v.has_value()) out.remaining = *v - placed; + out.delivery_delta = placed; + if (lossy) out.call_drops = merged(std::move(call_drops)); + out.call_source_loss = flow.source_loss; + // No head reaches a destination (every entry failed): NO_ROUTE, the records kept per entry. + out.termination = k == 0 ? Termination::NoRoute : forwarding_termination(pe.active, lossy, v, placed); + set_flags(out, before_program, view.program.get()); + out.program = view.program; + out.by_tunnel = tunnel_rows(view, assigned, delivered, dropped); + fill_state(pe, draft_records(s.drafts), requested, cur.infinite || !v.has_value(), offered, out, lost); + s.next.program = view.program; + s.next.by_tunnel = out.by_tunnel; + s.next.requested = requested; + s.next.offered = offered; + s.next.prepared = true; + s.next.infinite = cur.infinite || !v.has_value(); + return s; +} + +// forward(): a computing model's installed program forwarded with no route computation, on the +// released view, records per roster source (CostOnly and Global). +Staged forward_installed(const PolicyEngine& pe, Working& W, const Request& rq) { + const auto& g = *pe.graph; + const auto v = rq.v; + const auto& program = pe.epoch.program; + const ForwardingView view = make_view(g, program, nullptr, pe.dests_ok, rq.dark); + const ProgramData& p = *view.data; + const std::size_t k = pe.roster.size(); + const std::size_t n = p.entries.size(); + const bool lossy = pe.config.admission == Admission::Lossy; + ProgramFlow flow; + if (!lossy) { + flow = detail::lossless(g, view, free_of(W), 0, v); + } else { + std::vector inject(k, 0); + head_shares(view, *v, inject); + flow = detail::lossy(g, view, free_of(W), inject); + } + Staged s; + s.next = fresh_epoch(pe, true); + std::vector flows(k); + // Per roster source: its entries' carried, drops and deliveries summed (the view's heads are the + // roster: nothing is replayed). + std::vector>> carried(k); + std::vector>> drops(k); + std::vector got(k, 0); + for (std::size_t e = 0; e < n; ++e) { + const auto slot = static_cast(p.entries[e].slot); + const auto& f = flow.entries[e]; + carried[slot].insert(carried[slot].end(), f.carried.begin(), f.carried.end()); + drops[slot].insert(drops[slot].end(), f.dropped.begin(), f.dropped.end()); + got[slot] += f.delivered; + } + for (std::size_t i = 0; i < k; ++i) { + flows[i] = pe.epoch.cohorts[i].front(); + flows[i].id = -1; + carried[i] = merged(std::move(carried[i])); + drops[i] = merged(std::move(drops[i])); + if (is(pe)) { + // Global's record bundle is the edges its share uses. + std::vector route; + route.reserve(carried[i].size()); + for (const auto& [e, x] : carried[i]) route.push_back(e); + flows[i].bundle = std::make_shared(PredDAGBuilder::of_edges(g, route)); + flows[i].cost = route.empty() ? kUnreachable : route_cost(g, *flows[i].bundle, pe.roster[i], pe.dests_ok); + } + } + source_drafts(pe, flows, s); + std::vector> call_drops; + for (std::size_t i = 0; i < k; ++i) { + FlowRecord& r = s.drafts[i].record; + r.edges = carried[i]; + r.delivered = got[i]; + if (!lossy) continue; + r.drops = plus(std::vector> {}, drops[i]); + r.offered = c128(flow.head_offered[i]); + call_drops.insert(call_drops.end(), drops[i].begin(), drops[i].end()); + } + std::vector assigned(n); + std::vector delivered(n, 0); + std::vector dropped(n); + for (std::size_t e = 0; e < n; ++e) { + const auto& f = flow.entries[e]; + assigned[e] = c128(lossy ? f.assigned : f.delivered); + delivered[e] = f.delivered; + for (const auto& [x, d] : f.dropped) accumulate(dropped[e], c128(d), "drops"); + } + const Counter128 requested = v.has_value() ? c128(*v) : Counter128 {}; + const Counter128 offered = lossy ? c128(flow.offered) : Counter128 {}; + PlacementResult& out = s.out; + out.placed = lossy ? flow.delivered : flow.total; + if (v.has_value()) out.remaining = *v - out.placed; + out.call_drops = merged(std::move(call_drops)); + out.call_source_loss = flow.source_loss; + bool active = false; + for (std::size_t h = 0; h < view.num_heads() && !active; ++h) { + for (const std::int32_t e : view.head_entries(h)) active = active || p.entries[static_cast(e)].weight > 0; + } + if (p.pooled) active = !view.plan(0)->members.empty(); + out.termination = forwarding_termination(active, lossy, v, out.placed); + out.program = program; + out.by_tunnel = tunnel_rows(view, assigned, delivered, dropped); + const auto after = draft_records(s.drafts); + fill_state(pe, after, requested, !v.has_value(), offered, out); + if (controller(pe)) out.total_cost = total_cost_of(g, after); + s.next.by_tunnel = out.by_tunnel; + s.next.requested = requested; + s.next.offered = offered; + s.next.prepared = true; + s.next.infinite = !v.has_value(); + return s; } // ---------------------------------------------------------------- construction @@ -2012,7 +2373,7 @@ const char* model_name(const Routing& r) noexcept { return "Pinned"; } -ResolvedAxes resolve_config(const FlowPolicyConfig& cfg, bool cache) { +ResolvedAxes resolve_config(const FlowPolicyConfig& cfg, bool cache, std::int32_t num_edges) { const auto& r = cfg.routing; if (r.valueless_by_exception()) invalid("routing: the variant holds no routing mode"); // The enumeration values. @@ -2020,36 +2381,59 @@ ResolvedAxes resolve_config(const FlowPolicyConfig& cfg, bool cache) { check_member(cfg.admission, "admission"); if (cfg.origin.has_value()) check_member(*cfg.origin, "origin"); if (cfg.selection.has_value()) check_selection(*cfg.selection); - // The model's row, its columns left to right: placement, origin, admission, selection. - ResolvedAxes out {cfg.selection, cfg.origin}; + if (cfg.weights.has_value()) check_member(*cfg.weights, "weights"); + // The model's row, its columns left to right: placement, origin, admission, selection, weights + // (with edge_weights). + ResolvedAxes out {cfg.selection, cfg.origin, cfg.weights}; const bool cost_only = std::holds_alternative(r); const bool global = std::holds_alternative(r); const bool capacity_aware = std::holds_alternative(r); - if (global) { - if (cfg.placement.has_value()) invalid("Global does not accept placement"); + const bool pinned = std::holds_alternative(r); + const std::string model = model_name(r); + if (global || pinned) { + if (cfg.placement.has_value()) invalid(model + " does not accept placement"); } else if (!cfg.placement.has_value()) { - invalid(std::string(cost_only ? "CostOnly" : capacity_aware ? "CapacityAware" : "Pinned") + " requires placement"); + invalid(std::string(cost_only ? "CostOnly" : "CapacityAware") + " requires placement"); } - const bool max_flow = global || *cfg.placement == FlowPlacement::MaxFlow; + const bool max_flow = global || (cfg.placement.has_value() && *cfg.placement == FlowPlacement::MaxFlow); if (cost_only && !max_flow && cfg.origin == Origin::Optimized) { invalid("CostOnly with EQUAL_BALANCED or WEIGHTED requires origin=EQUAL"); } if (capacity_aware && cfg.origin == Origin::Optimized) invalid("T1 requires origin=EQUAL"); - if (std::holds_alternative(r) && cfg.origin.has_value()) invalid("Pinned does not accept origin"); - if (!cfg.origin.has_value() && !std::holds_alternative(r)) { + if (pinned && cfg.origin.has_value()) invalid("Pinned does not accept origin"); + if (!cfg.origin.has_value() && !pinned) { out.origin = cost_only && !max_flow ? Origin::Equal : capacity_aware ? Origin::Equal : Origin::Optimized; } if (cfg.admission == Admission::Lossy) { if (max_flow) invalid("MAX_FLOW requires admission=LOSSLESS"); if (capacity_aware) invalid("CapacityAware requires admission=LOSSLESS"); } - if (global) { - if (cfg.selection.has_value()) invalid("Global does not accept selection"); + if (global || pinned) { + if (cfg.selection.has_value()) invalid(model + " does not accept selection"); } else { if (!cfg.selection.has_value()) out.selection = PathSelection(); - check_kernel_combination(*cfg.placement, cfg.admission, out.selection->priority); + check_kernel_combination(*cfg.placement, cfg.admission); + // CapacityAware's Weighted flows read their weights from the priority (Capacity or Residual), + // so Headroom (a ratio, not units) is rejected for them. + if (capacity_aware && *cfg.placement == FlowPlacement::Weighted && out.selection->priority == EdgePriority::Headroom) { + invalid("the Weighted kernel is rejected with priority Headroom (weights are units)"); + } + } + // The weights column: CostOnly Weighted reads them (Capacity by default); another CostOnly + // placement names the placement it needs; every other model takes none. + const bool weighted = cost_only && *cfg.placement == FlowPlacement::Weighted; + if (weighted) { + if (!cfg.weights.has_value()) out.weights = WeightBasis::Capacity; + if (cfg.weights == WeightBasis::Explicit && !cfg.edge_weights) invalid("weights=EXPLICIT requires edge_weights"); + if (cfg.edge_weights && cfg.weights != WeightBasis::Explicit) invalid("edge_weights require weights=EXPLICIT"); + } else if (cost_only) { + if (cfg.weights.has_value()) invalid("weights require CostOnly placement=WEIGHTED"); + if (cfg.edge_weights) invalid("edge_weights require weights=EXPLICIT"); + } else { + if (cfg.weights.has_value()) invalid(model + " does not accept weights"); + if (cfg.edge_weights) invalid(model + " does not accept edge_weights"); } - if (cache && !cost_only) invalid(std::string(model_name(r)) + " does not use DagCache"); + if (cache && !cost_only) invalid(model + " does not use DagCache"); if (const auto* ca = std::get_if(&r)) { if (ca->flow_count < 1) invalid("CapacityAware flow_count must be >= 1 (got " + str(ca->flow_count) + ")"); if (ca->max_flow_count.has_value() && *ca->max_flow_count < ca->flow_count) { @@ -2068,14 +2452,20 @@ ResolvedAxes resolve_config(const FlowPolicyConfig& cfg, bool cache) { } } } + // edge_weights' length and entries (they need the graph). + if (weighted && cfg.edge_weights) { + const auto& w = *cfg.edge_weights; + if (w.size() != static_cast(num_edges)) invalid("edge_weights: expected " + str(num_edges) + " entries"); + for (std::size_t e = 0; e < w.size(); ++e) { + if (w[e] < 0 || w[e] >= kDomainLimit) invalid("edge_weights[" + std::to_string(e) + "] must be an integer in [0, 2^62)"); + } + } return out; } void check_source_count(const FlowPolicyConfig& cfg, std::size_t num_sources, std::size_t num_destinations) { const auto& r = cfg.routing; - if (std::holds_alternative(r) && (num_sources != 1 || num_destinations != 1)) { - invalid("Pinned routing requires single endpoints (bundles bind one source and one destination)"); - } + (void)num_destinations; // The pooled single-path rule: a bottleneck choice would differ per source at a shared router. if (std::holds_alternative(r) && num_sources > 1 && cfg.selection.has_value() && !cfg.selection->multipath && cfg.selection->tie_break == EdgeTieBreak::PreferHigherPriority) { @@ -2092,6 +2482,24 @@ using detail::PolicyEngine; namespace { +// Some head can place traffic: a positive injection weight and a surviving entry of positive +// weight whose route has a member. +bool view_active(const detail::ForwardingView& v) { + const auto& p = *v.data; + for (std::size_t h = 0; h < v.num_heads(); ++h) { + if (!v.weights().empty() && v.weights()[h] == 0) continue; + for (const std::int32_t ei : v.head_entries(h)) { + const auto e = static_cast(ei); + const auto& entry = p.entries[e]; + if (entry.weight == 0) continue; + if (entry.tunnel >= 0) return true; + const auto r = v.root_of(e); + if (r >= 0 && v.plan(static_cast(entry.context))->root_pos[static_cast(r)] >= 0) return true; + } + } + return false; +} + // The engine of a new policy, bound to its ledger as the last step. A supplied frozen cache's hit // is recorded in `tally`: the public constructor publishes it once construction has // succeeded, an evaluator once its whole call has. @@ -2101,58 +2509,59 @@ std::unique_ptr make_engine(FlowLedger& ledger, std::span(ledger, std::move(config)); pe->graph = ledger.graph(); const auto& g = *pe->graph; - // The endpoints, then the ownership of the mask and the cache, then the configuration. + // The endpoints, then the ownership of the mask, the program, the support, the cache and the + // black holes, then the configuration. pe->sources = detail::node_set(sources, g.num_nodes(), "sources"); pe->destinations = detail::node_set(destinations, g.num_nodes(), "destinations"); detail::check_disjoint(pe->sources, pe->destinations, "sources", "destinations"); if (elig != nullptr && elig->graph_uid() != g.uid()) { throw std::invalid_argument("foreign Eligibility: built for another graph"); } + const auto* pinned = std::get_if(&pe->config.routing); + const auto* global = std::get_if(&pe->config.routing); + if (pinned != nullptr) { + if (!pinned->program) throw std::invalid_argument("Pinned requires a program"); + if (pinned->program->graph_uid() != g.uid()) throw std::invalid_argument("program belongs to another graph"); + } + if (global != nullptr && global->support && global->support->graph_uid() != g.uid()) { + throw std::invalid_argument("support belongs to another graph"); + } if (cache != nullptr && cache->graph_uid() != g.uid()) { throw std::invalid_argument("foreign DagCache: bound to another graph"); } + if (pinned != nullptr && pinned->black_holes && pinned->black_holes->graph_uid() != g.uid()) { + throw std::invalid_argument("black_holes belongs to another graph"); + } pe->elig = elig; - const auto axes = detail::resolve_config(pe->config, cache != nullptr); + const auto axes = detail::resolve_config(pe->config, cache != nullptr, g.num_edges()); pe->config.selection = axes.selection; pe->config.origin = axes.origin; + pe->config.weights = axes.weights; detail::check_source_count(pe->config, pe->sources.size(), pe->destinations.size()); + if (pinned != nullptr) { + const auto& prog = *pinned->program; + if (!std::equal(prog.sources().begin(), prog.sources().end(), pe->sources.begin(), pe->sources.end()) || + !std::equal(prog.destinations().begin(), prog.destinations().end(), pe->destinations.begin(), + pe->destinations.end())) { + throw std::invalid_argument("program endpoints do not match policy endpoints"); + } + } if (pe->config.selection.has_value()) pe->selection = *pe->config.selection; if (pe->config.origin.has_value()) pe->origin = *pe->config.origin; auto node_ok = [&](NodeId v) { return elig == nullptr || elig->node_ok(v); }; for (NodeId d : pe->destinations) { if (node_ok(d)) pe->dests_ok.push_back(d); } - if (detail::is(*pe)) { - const auto& bundles = std::get(pe->config.routing).bundles; - if (bundles.empty()) throw std::invalid_argument("Pinned: an empty bundle list is rejected"); - const NodeId src = pe->sources.front(); - const NodeId dst[1] = {pe->destinations.front()}; - for (std::size_t i = 0; i < bundles.size(); ++i) { - const auto& b = bundles[i]; - if (!b) throw std::invalid_argument("Pinned: bundle " + std::to_string(i) + " is null"); - if (b->graph_uid() != g.uid()) throw std::invalid_argument("foreign PredDAG: bundle built for another graph"); - for (std::size_t j = 0; j < i; ++j) { - if (*bundles[j] == *b) { - throw std::invalid_argument("Pinned: duplicate bundle " + std::to_string(i) + " (equal to bundle " + - std::to_string(j) + " before pruning)"); - } - } - Cost cost = kUnreachable; - auto plan = detail::make_route_plan(g, *pe->config.placement, pe->config.admission, pe->selection.priority, src, - dst, *b, elig, &cost); - if (plan.route.empty() && detail::prune(g, *b, src, dst).empty()) { - throw std::invalid_argument("Pinned: malformed bundle " + std::to_string(i) + ", no src -> dst walk (src " + - std::to_string(src) + ", dst " + std::to_string(dst[0]) + ")"); - } - detail::PreparedPinnedBundle pb; - pb.cost = cost; - pb.route_dag = detail::bundle_of(g, plan.route, b); - pb.route_plan = std::make_shared(std::move(plan)); - if (!pb.route_plan->route.empty()) pe->usable.push_back(static_cast(i)); - pe->bundles.push_back(std::move(pb)); - } - if (!pe->usable.empty()) pe->roster.push_back(src); - } else if (detail::is(*pe)) { + if (pinned != nullptr) { + // The program as this policy forwards it: replayed under the mask, the black holes laid over. + pe->view = detail::make_view(g, pinned->program, elig, pe->dests_ok, pinned->black_holes.get(), true); + for (std::size_t h = 0; h < pe->view.num_heads(); ++h) pe->roster.push_back(pe->view.head(h)); + pe->active = view_active(pe->view); + pe->epoch.cohorts.resize(detail::ProgramAccess::data(*pinned->program).entries.size()); + pe->owner = LedgerAccess::bind(ledger); + return pe; + } + if (detail::is(*pe)) { pe->support = cache != nullptr ? detail::DagCacheAccess::lookup(*cache, g, pe->destinations, Direction::Reverse, elig, tally) : std::make_shared(detail::static_support(g, pe->destinations, Direction::Reverse, elig)); @@ -2163,6 +2572,20 @@ std::unique_ptr make_engine(FlowLedger& ledger, std::span(s)]); if (it != edges.end() && *it < row[static_cast(s) + 1]) pe->roster.push_back(s); } + } else if (global != nullptr && global->support) { + // The support trimmed to the walks from the sources to the allowed destinations under the mask; + // the roster is the sources that reach one inside it. + std::vector trimmed; + for (NodeId s : pe->sources) { + if (!node_ok(s)) continue; + auto part = detail::prune(g, *global->support, s, pe->dests_ok, elig); + if (part.empty()) continue; + pe->roster.push_back(s); + trimmed.insert(trimmed.end(), part.begin(), part.end()); + } + std::sort(trimmed.begin(), trimmed.end()); + trimmed.erase(std::unique(trimmed.begin(), trimmed.end()), trimmed.end()); + pe->global_support = std::make_shared>(std::move(trimmed)); } else { // The static costs fix the roster; only a Stretch ceiling reads them again, so only it keeps them. const auto* ca = std::get_if(&pe->config.routing); @@ -2175,8 +2598,17 @@ std::unique_ptr make_engine(FlowLedger& ledger, std::spanroster.push_back(s); if (keep_costs) pe->baseline.push_back(dist[i]); } + if (global != nullptr && elig != nullptr && elig->uid() != 0) { + // Its programs' replay basis: the topology under this mask. + for (NodeId v = 0; v < g.num_nodes(); ++v) { + if (!elig->node_ok(v)) pe->excluded_nodes.push_back(v); + } + for (EdgeId e = 0; e < g.num_edges(); ++e) { + if (!elig->edge_ok(e)) pe->excluded_edges.push_back(e); + } + } } - pe->cohorts.resize(pe->roster.size()); + pe->epoch.cohorts.resize(pe->roster.size()); pe->owner = LedgerAccess::bind(ledger); // last: nothing is bound when construction fails return pe; } @@ -2197,108 +2629,233 @@ FlowPolicy::FlowPolicy(FlowLedger& ledger, std::span sources, std: // The destruction law: the records stay in the ledger as orphans. FlowPolicy::~FlowPolicy() { LedgerAccess::release(engine_->fg, engine_->owner); } +namespace detail { +namespace { + +// The program a computing model installs for an empty roster (R22): CostOnly and Global an empty +// one, CapacityAware none. Pinned never comes here: its forwarding with no head is place_pinned's. +std::shared_ptr empty_roster_program(const PolicyEngine& pe) { + if (is(pe)) return nullptr; + return empty_program(pe.graph->uid(), pe.sources, pe.destinations, controller(pe) && pe.origin == Origin::Optimized); +} + +// The current state of a zero call: its records, its program and rows, every flag false; before +// the epoch's first preparation all zeros (no records, no program, no curve). A zero call solves +// nothing, so it claims no cut. +PlacementResult zero_state(const PolicyEngine& pe, const OutputOptions& outputs) { + PlacementResult out; + out.remaining = 0; + const auto& ep = pe.epoch; + const auto records = current_records(pe); + std::vector> lost; + for (std::size_t h = 0; h < ep.head_lost.size(); ++h) { + if (!ep.head_lost[h].is_zero()) lost.emplace_back(pe.view.head(h), ep.head_lost[h]); + } + fill_state(pe, records, ep.requested, ep.infinite, ep.offered, out, lost); + if (controller(pe)) out.total_cost = total_cost_of(*pe.graph, records); + if (dense_global(pe) && pe.origin == Origin::Optimized && ep.prepared && ep.curve.has_value()) out.cost_distribution = *ep.curve; + out.program = ep.program; + out.by_tunnel = ep.by_tunnel; + prepare_outputs(pe, outputs, current_edges(pe), out); + return out; +} + +// A computing model's call when no source reaches an allowed destination (Pinned with no head +// forwards through place_pinned, keeping its per-entry records): nothing is forwarded. A Lossy +// offer is lost before it enters (the demand's source loss; no source's row has it). Global's flow +// is 0 and maximal: its curve is empty and its cut is empty (no roster source, so the closure is +// empty). +Staged empty_roster(const PolicyEngine& pe, const Epoch& cur, const Request& rq, const ForwardingProgram* before) { + const bool lossy = pe.config.admission == Admission::Lossy; + const bool optimized_global = dense_global(pe) && pe.origin == Origin::Optimized; + const auto v = rq.v; + Staged s; + s.next.cohorts.resize(cur.cohorts.size()); + s.next.requested = requested_after(cur, v); + s.next.offered = cur.offered; + if (lossy && v.has_value()) (void)s.next.offered.add(*v); // offered <= requested + s.next.prepared = true; + s.next.infinite = cur.infinite || !v.has_value(); + s.next.program = cur.program ? cur.program : empty_roster_program(pe); + PlacementResult& out = s.out; + out.remaining = v; + out.delivery_delta = 0; + out.termination = Termination::NoRoute; + if (lossy && v.has_value()) out.call_source_loss = *v; + set_flags(out, before, s.next.program.get()); + out.program = s.next.program; + fill_state(pe, {}, s.next.requested, s.next.infinite, s.next.offered, out); + if (controller(pe)) out.total_cost = Counter128 {}; + if (optimized_global) { + out.cost_distribution.emplace(); + if (rq.outputs != nullptr && rq.outputs->min_cut) out.min_cut.emplace(); + s.next.curve.emplace(); + } + if (kTraced && rq.trace) rq.trace->set("roster", Trace::list()); + return s; +} + +} // namespace + +void check_forward_operation(const PolicyEngine& pe) { + if (is(pe)) invalid("Pinned forwards with replace"); + if (!pe.epoch.program) invalid("forward requires an installed program"); +} + namespace { +// The call's validation (before any change, also before the zero shortcut), in this order: the +// operation for the model and an installed program (forward), the offer, a Lossy full offer's +// finiteness, a finite place after +inf, the requested total's limit, the black holes' graph. +void check_call(const PolicyEngine& pe, const Request& rq) { + const bool lossy = pe.config.admission == Admission::Lossy; + if (rq.op == Op::Forward) check_forward_operation(pe); + if (rq.v.has_value() && (*rq.v < 0 || *rq.v >= kDomainLimit)) { + invalid("offer must be an integer in [0, 2^62) or permitted +inf"); + } + // A Lossy full offer is finite; CostOnly's place(+inf) is its first-hop experiment. + if (lossy && !rq.v.has_value() && (rq.full() || is(pe))) invalid("LOSSY forwarding requires a finite offer"); + if (rq.op == Op::Place) { + if (pe.epoch.infinite && rq.v.has_value()) invalid("finite placement after infinite placement requires a new epoch"); + // The only check of the cumulative request: nothing changes the requested total between here + // and the call's publication, so the later additions repeat this sum and cannot fail. + if (rq.v.has_value()) { + Counter128 probe = pe.epoch.requested; + if (!probe.add(*rq.v)) invalid("requested limit exceeded"); + } + } + if (rq.op == Op::Forward && rq.dark != nullptr && rq.dark->graph_uid() != pe.graph->uid()) { + invalid("black_holes belongs to another graph"); + } +} + +// The computation of a call: nothing published. A full-offer call works on the residual with +// the policy's own load released, from a fresh epoch. +Staged compute(const PolicyEngine& pe, const Request& rq) { + Working W(pe.fg); + if (rq.full()) W.release_records(current_records(pe)); + const Epoch fresh = rq.full() ? fresh_epoch(pe, rq.op == Op::Forward) : Epoch {}; + const Epoch& cur = rq.full() ? fresh : pe.epoch; + // The flags compare the program the policy has installed now. + const ForwardingProgram* before = pe.epoch.program.get(); + Staged s; + if (pe.roster.empty() && !is(pe)) { + // No roster source (a computing model): nothing is computed. A Pinned policy whose heads all + // fail keeps its per-entry records and forwards nothing (place_pinned). + s = empty_roster(pe, cur, rq, before); + } else if (rq.op == Op::Forward) { + s = forward_installed(pe, W, rq); + } else if (is(pe)) { + s = place_pinned(pe, cur, W, rq, before); + } else if (controller(pe)) { + s = place_controller(pe, cur, W, rq, before); + } else if (is(pe)) { + s = place_pooled(pe, cur, W, rq, before); + } else { + s = place_flows(pe, cur, W, rq); + } + // A full-offer call: its placed is the whole new delivery, compared with the old one. + if (rq.full()) { + Amount old = 0; + for (const FlowRecord* r : current_records(pe)) old += r->delivered; + s.out.placed = s.out.delivered; + s.out.delivery_delta = s.out.delivered - old; + if (rq.v.has_value()) s.out.remaining = *rq.v - s.out.placed; + } + // The first termination row (14.2): a request of 0 is COMPLETE, also for a full-offer call, which + // still prepared and publishes what it computed. + if (rq.v == Amount {0}) s.out.termination = Termination::Complete; + if (rq.outputs != nullptr && any_output(*rq.outputs)) prepare_outputs(pe, *rq.outputs, draft_edges(s.drafts), s.out); + return s; +} + +// The publication: the ledger's one atomic exchange (a place commits every live record and the new +// ones; a full-offer call retires the live ones and creates the new ones), then the epoch. +void publish(PolicyEngine& pe, Staged& s, bool full) { + const auto ids = full ? LedgerAccess::exchange(pe.fg, pe.owner, s.drafts) : LedgerAccess::commit(pe.fg, pe.owner, s.drafts); + // Committed: the epoch state follows (nothing below throws). + for (std::size_t n = 0; n < s.fresh.size(); ++n) s.next.cohorts[s.fresh[n].first][s.fresh[n].second].id = ids[n].second; + pe.epoch = std::move(s.next); +} + // `staged` (optional) runs once the call's result and trace are final and before anything is // published (the ledger commit, the epoch state): an exception from it aborts the call with // nothing changed (the Python binding builds its result objects there). -PlacementResult place_impl(PolicyEngine& pe, std::optional volume, const OutputOptions& outputs, - detail::Trace* trace, const std::function* staged) { - // Validation before any mutation, also before the zero shortcut. - if (volume.has_value() && (*volume < 0 || *volume >= kDomainLimit)) { - throw std::invalid_argument("offer must be an integer in [0, 2^62) or permitted +inf"); - } - if (pe.infinite && volume.has_value()) { - throw std::invalid_argument("finite placement after infinite placement requires a new epoch"); - } - // The only check of the cumulative request: nothing changes the requested total between here - // and the call's publication, so the later additions (in the engines) repeat this sum and - // cannot fail. - if (volume.has_value()) { - Counter128 probe = pe.requested; - if (!probe.add(*volume)) throw std::invalid_argument("requested limit exceeded"); - } - const bool lossy = pe.config.admission == Admission::Lossy; - const bool optimized_global = detail::is(pe) && pe.origin == Origin::Optimized; - PlacementResult out; - if (volume.has_value() && *volume == 0) { - // The current state with every flag false; before the epoch's first positive call it is all - // zeros (no records, no curve). A zero call solves nothing, so it claims no cut. - out.remaining = 0; - const auto records = detail::current_records(pe); - detail::fill_state(pe, records, pe.requested, pe.infinite, pe.offered, out); - if (detail::controller(pe)) out.total_cost = detail::total_cost_of(*pe.graph, records); - if (optimized_global && pe.prepared) out.cost_distribution = pe.curve; - detail::prepare_outputs(pe, outputs, detail::current_edges(pe), out); +PlacementResult run_call(PolicyEngine& pe, const Request& rq, const std::function* staged) { + check_call(pe, rq); + if (rq.op == Op::Place && rq.v.has_value() && *rq.v == 0) { + PlacementResult out = zero_state(pe, *rq.outputs); if (staged != nullptr && *staged) (*staged)(); return out; } - if (pe.roster.empty()) { - // No source reaches an allowed destination. A Lossy offer is lost before it enters (the - // demand's source loss; no source's row has it). Global's flow is 0 and maximal: its curve - // is empty and its cut is empty (no roster source, so the closure is empty). - Counter128 requested = pe.requested; - Counter128 offered = pe.offered; - if (volume.has_value()) { - (void)requested.add(*volume); // checked above - if (lossy) (void)offered.add(*volume); // offered <= requested - } - out.remaining = volume; - out.termination = Termination::NoRoute; - if (lossy && volume.has_value()) out.call_source_loss = *volume; - detail::fill_state(pe, {}, requested, pe.infinite || !volume.has_value(), offered, out); - if (detail::controller(pe)) out.total_cost = Counter128 {}; - if (optimized_global) { - out.cost_distribution.emplace(); - if (outputs.min_cut) out.min_cut.emplace(); - } - if (detail::kTraced && trace) trace->set("roster", detail::Trace::list()); - detail::prepare_outputs(pe, outputs, detail::current_edges(pe), out); - if (staged != nullptr && *staged) (*staged)(); - // Nothing below throws. - pe.requested = requested; - pe.offered = offered; - pe.prepared = true; - if (!volume.has_value()) pe.infinite = true; - return out; - } - if (detail::controller(pe)) return detail::place_controller(pe, volume, outputs, trace, staged); - if (detail::is(pe)) return detail::place_pooled(pe, volume, outputs, trace, staged); - return detail::place_flows(pe, volume, outputs, trace, staged); + Staged s = compute(pe, rq); + if (staged != nullptr && *staged) (*staged)(); + if (rq.op == Op::Evaluate) return std::move(s.out); + PlacementResult out = std::move(s.out); + publish(pe, s, rq.full()); + return out; } } // namespace +} // namespace detail PlacementResult FlowPolicy::place(std::optional volume, const OutputOptions& outputs) { - return place_impl(*engine_, volume, outputs, nullptr, nullptr); + return detail::run_call(*engine_, detail::Request {detail::Op::Place, volume, nullptr, &outputs, nullptr}, nullptr); +} + +PlacementResult FlowPolicy::evaluate(std::optional offer, const OutputOptions& outputs) const { + const detail::Request rq {detail::Op::Evaluate, offer, nullptr, &outputs, nullptr}; + detail::check_call(*engine_, rq); + return std::move(detail::compute(*engine_, rq).out); +} + +PlacementResult FlowPolicy::replace(std::optional offer, const OutputOptions& outputs) { + return detail::run_call(*engine_, detail::Request {detail::Op::Replace, offer, nullptr, &outputs, nullptr}, nullptr); +} + +PlacementResult FlowPolicy::forward(std::optional offer, const Eligibility* black_holes, + const OutputOptions& outputs) { + return detail::run_call(*engine_, detail::Request {detail::Op::Forward, offer, black_holes, &outputs, nullptr}, nullptr); } #if NETGRAPH_CORE_PRIVATE_HOOKS PlacementResult detail::place_traced(FlowPolicy& policy, std::optional volume, const OutputOptions& outputs, Trace& trace, const std::function* staged) { trace = Trace::map(); - return place_impl(PolicyAccess::engine(policy), volume, outputs, &trace, staged); + return run_call(PolicyAccess::engine(policy), Request {Op::Place, volume, nullptr, &outputs, &trace}, staged); +} + +PlacementResult detail::call_staged(FlowPolicy& policy, CallKind kind, std::optional offer, + const Eligibility* black_holes, const OutputOptions& outputs, + const std::function* staged) { + const Op op = kind == CallKind::Place ? Op::Place + : kind == CallKind::Evaluate ? Op::Evaluate + : kind == CallKind::Replace ? Op::Replace + : Op::Forward; + return run_call(PolicyAccess::engine(policy), Request {op, offer, black_holes, &outputs, nullptr}, staged); } #endif void FlowPolicy::remove() { auto& pe = *engine_; (void)LedgerAccess::detach(pe.fg, pe.owner); - // A new epoch (nothing below throws). - for (auto& c : pe.cohorts) c.clear(); - pe.program.reset(); - pe.program_edges.clear(); - pe.curve.clear(); - pe.requested = Counter128 {}; - pe.offered = Counter128 {}; - pe.infinite = false; - pe.prepared = false; + // A new epoch (nothing below throws): the same number of cohorts, every one empty. + for (auto& c : pe.epoch.cohorts) c.clear(); + pe.epoch.program.reset(); + pe.epoch.support.clear(); + pe.epoch.curve.reset(); + pe.epoch.head_lost.clear(); + pe.epoch.by_tunnel.clear(); + pe.epoch.requested = Counter128 {}; + pe.epoch.offered = Counter128 {}; + pe.epoch.infinite = false; + pe.epoch.prepared = false; } Amount FlowPolicy::placed_demand() const { const auto& pe = *engine_; Amount total = 0; - for (const auto& c : pe.cohorts) { + for (const auto& c : pe.epoch.cohorts) { for (const auto& s : c) total += LedgerAccess::live(pe.fg, s.id).delivered; } return total; @@ -2307,7 +2864,7 @@ Amount FlowPolicy::placed_demand() const { std::vector FlowPolicy::records() const { const auto& pe = *engine_; std::vector ids; - for (const auto& c : pe.cohorts) { + for (const auto& c : pe.epoch.cohorts) { for (const auto& s : c) ids.push_back(s.id); } std::sort(ids.begin(), ids.end()); @@ -2329,9 +2886,7 @@ FlowRecord FlowPolicy::record(const FlowId& flow_id) const { return rec; } -std::int32_t FlowPolicy::usable_bundles() const noexcept { - return detail::is(*engine_) ? static_cast(engine_->usable.size()) : 0; -} +std::shared_ptr FlowPolicy::program() const noexcept { return engine_->epoch.program; } const FlowPolicyConfig& FlowPolicy::config() const noexcept { return engine_->config; } diff --git a/src/forwarding.cpp b/src/forwarding.cpp new file mode 100644 index 0000000..53969f2 --- /dev/null +++ b/src/forwarding.cpp @@ -0,0 +1,1466 @@ +/* + The forwarding engine of programs (forwarding.hpp): views, the injection, the lossless bound + and the loss rule. + + A pooled program (one split context) runs on its plan's kernels: allocate and the T_max search + for the bound, forward() with its attribution for the losses. Every other program (tunnels and + supplied split routes, each split route a one-root context) runs on the general network of one + call: the union of its live entries' links, each link with its occurrences (a tunnel's hop, a + split route's member), and per split route its routers. Each occurrence belongs to one source + and one entry, so the loss rule at a link is two levels of highest averages. + + The evaluation (A+, 9.2): the no-drop loads U0 first; serial normalization marks the second link + of every transparent pair (equal free capacity, every occurrence of the first continuing on the + second and every occurrence of the second coming from the first, with nothing injected, absorbed, + merged or split between them) as a pass-through; every other link with U0 > V is a barrier. The + events are the barriers and the routers; an event waits for its predecessors (a router for its + in-members' carried amounts, a barrier for all its arrivals, a tunnel's next barrier for its + previous one). Tarjan's algorithm groups them into strongly connected components (SCCs), which + run in dependency order, the smallest key first among the ready ones ((0, smallest barrier + EdgeId) for a group with a barrier, else (1, its first event)). A cyclic group of b barriers is + iterated from zero carried (9.4): one round replays the group's private forwarding from the + previous carried state x, then computes every new carry with the loss rule into a separate state; + equal states solve it, a state equal to the one two rounds before raises the period-two error, and + 64 b rounds without either raise the round-limit error. Once every group is solved, a call that + iterated checks the whole result independently (every router's split, every link's rule and + capacity, every continuation, the conservation of every entry) before anything is returned. + + Amounts are int64 units below 2^62: a call's total bounds every arrival and load. The per-thread + scratch of the general network is rebuilt by every call before it is read. +*/ +#include "netgraph/core/detail/forwarding.hpp" + +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/int128.hpp" +#include "netgraph/core/detail/pred_dag_builder.hpp" + +namespace netgraph::core::detail { + +#if NETGRAPH_CORE_PRIVATE_HOOKS +LossyCounters& thread_lossy_counters() noexcept { + thread_local LossyCounters c; + return c; +} +#endif + +namespace { + +// ================================================================ the view + +bool has_black_holes(const Eligibility* dark) noexcept { return dark != nullptr && dark->uid() != 0; } + +// The roster slots that reach an allowed destination over their basis under the mask: one +// reverse search from the allowed destinations over every allowed edge (topology), or per slot a +// forward search over its own allowed basis edges. +std::vector replay_roster(const Graph& g, const ProgramData& p, const std::vector& edge_ok, + const std::vector& node_ok, + const std::vector& is_dst) { + const std::size_t k = p.roster.size(); + std::vector keep(k, 0); + const auto edge_src = g.edge_src(); + const auto edge_dst = g.edge_dst(); + if (p.topology) { + const auto in_row = g.in_row_offsets(); + const auto in_adj = g.in_adj_edge_index(); + std::vector seen(static_cast(g.num_nodes()), 0); + std::vector stack; + for (std::size_t v = 0; v < is_dst.size(); ++v) { + if (is_dst[v] != 0) { + seen[v] = 1; + stack.push_back(static_cast(v)); + } + } + while (!stack.empty()) { + const auto v = static_cast(stack.back()); + stack.pop_back(); + for (auto i = in_row[v]; i < in_row[v + 1]; ++i) { + const auto e = static_cast(in_adj[static_cast(i)]); + if (edge_ok[e] == 0) continue; + const auto u = static_cast(edge_src[e]); + // A path stops at the first destination: a destination is not passed through. + if (seen[u] != 0 || is_dst[u] != 0) continue; + seen[u] = 1; + stack.push_back(static_cast(u)); + } + } + for (std::size_t s = 0; s < k; ++s) { + const auto h = static_cast(p.roster[s]); + keep[s] = node_ok[h] != 0 && seen[h] != 0 ? 1 : 0; + } + return keep; + } + std::vector seen(static_cast(g.num_nodes()), 0); + std::vector touched; + std::vector stack; + std::vector, bool>> parts; + const auto row = g.row_offsets(); + for (std::size_t s = 0; s < k; ++s) { + const NodeId h = p.roster[s]; + if (node_ok[static_cast(h)] == 0) continue; + parts.clear(); + p.basis_parts(s, parts); + // A forward search over the slot's allowed basis edges (an ascending part's edges of one tail + // are consecutive; a tunnel's path is scanned whole). + touched.assign(1, h); + stack.assign(1, h); + seen[static_cast(h)] = 1; + bool reached = false; + auto visit = [&](EdgeId x) { + const auto e = static_cast(x); + if (edge_ok[e] == 0) return; + const auto v = static_cast(edge_dst[e]); + if (is_dst[v] != 0) { + reached = true; + return; + } + if (seen[v] != 0) return; + seen[v] = 1; + touched.push_back(static_cast(v)); + stack.push_back(static_cast(v)); + }; + while (!stack.empty() && !reached) { + const NodeId u = stack.back(); + stack.pop_back(); + const auto lo = row[static_cast(u)]; + const auto hi = row[static_cast(u) + 1]; + for (const auto& [part, ascending] : parts) { + if (ascending) { + for (auto it = std::lower_bound(part.begin(), part.end(), lo); it != part.end() && *it < hi && !reached; ++it) visit(*it); + } else { + for (EdgeId x : part) { + if (x >= lo && x < hi && !reached) visit(x); + } + } + } + } + for (NodeId v : touched) seen[static_cast(v)] = 0; + keep[s] = reached ? 1 : 0; + } + return keep; +} + +// An edge set under the mask, pruned to the walks from `src` to the allowed destinations, as a +// record bundle with its cost (an empty DAG and kUnreachable when nothing remains). +std::pair, Cost> masked_route(const Graph& g, std::span edges, NodeId src, + std::span dests, const Eligibility* elig) { + const PredDAG dag = PredDAGBuilder::of_edges(g, edges); + auto kept = prune(g, dag, src, dests, elig); + if (kept.empty()) return {std::make_shared(PredDAGBuilder::empty(g)), kUnreachable}; + auto out = std::make_shared(PredDAGBuilder::of_edges(g, kept)); + return {out, route_cost(g, *out, src, dests)}; +} + +void finish_view(ForwardingView& v) { + const ProgramData& p = *v.data; + // The surviving entries per view head, ascending index. + v.head_begin_.assign(v.slots_.size() + 1, 0); + v.head_entries_.clear(); + for (std::size_t h = 0; h < v.slots_.size(); ++h) { + for (std::int32_t e : p.entries_of(static_cast(v.slots_[h]))) { + if (v.status_[static_cast(e)] != TunnelStatus::Failed) v.head_entries_.push_back(e); + } + v.head_begin_[h + 1] = static_cast(v.head_entries_.size()); + } + // Black holes: the black-holed heads, and every up tunnel whose path reaches one. + v.dark_head_.clear(); + if (v.dark != nullptr) { + v.dark_head_.assign(v.slots_.size(), 0); + for (std::size_t h = 0; h < v.slots_.size(); ++h) v.dark_head_[h] = v.dark->node_ok(v.head(h)) ? 0 : 1; + for (std::size_t t = 0; t < p.tunnels.size(); ++t) { + const auto e = static_cast(p.tunnel_entry[t]); + if (v.status_[e] != TunnelStatus::Up) continue; + // An edge is black-holed when the Eligibility disallows it (itself or an endpoint). + for (EdgeId x : p.tunnels[t].edges) { + if (!v.dark->edge_ok(x)) { + v.status_[e] = TunnelStatus::Blackholed; + break; + } + } + } + } +} + +// A borrowed view's state written out (the program's own: every head, every entry up), for a +// view that then changes it (black holes). +void materialize(ForwardingView& v) { + if (!v.borrowed) return; + const ProgramData& p = *v.data; + const std::size_t n = p.entries.size(); + v.slots_.resize(p.roster.size()); + for (std::size_t s = 0; s < p.roster.size(); ++s) v.slots_[s] = static_cast(s); + v.weights_ = p.head_weight; + v.status_.assign(n, TunnelStatus::Up); + v.bundles_.resize(n); + v.costs_.resize(n); + v.root_of_.resize(n); + for (std::size_t e = 0; e < n; ++e) { + v.bundles_[e] = p.entries[e].bundle; + v.costs_[e] = p.entries[e].cost; + v.root_of_[e] = v.root_of(e); + } + v.plans_.clear(); + for (const auto& c : p.contexts) v.plans_.push_back(c.plan); + v.borrowed = false; +} + +} // namespace + +ForwardingView make_view(const Graph& g, std::shared_ptr program, const Eligibility* mask, + std::span dests, const Eligibility* dark, bool records) { + ForwardingView v; + v.data = &ProgramAccess::data(*program); + v.program = std::move(program); + v.dark = has_black_holes(dark) ? dark : nullptr; + const ProgramData& p = *v.data; + const std::size_t n = p.entries.size(); + v.pooled = p.pooled; + if (mask == nullptr || mask->uid() == 0) { + // The program's own state: its roster, its routes and plans, borrowed from the program (a + // tunnel's record bundle is made here; black holes change the statuses). + v.borrowed = true; + if (v.dark == nullptr && !(records && !p.tunnels.empty())) return v; + materialize(v); + for (std::size_t e = 0; records && e < n; ++e) { + if (p.entries[e].tunnel < 0) continue; + v.bundles_[e] = std::make_shared( + PredDAGBuilder::of_edges(g, p.tunnels[static_cast(p.entries[e].tunnel)].edges)); + } + finish_view(v); + return v; + } + v.status_.assign(n, TunnelStatus::Up); + v.bundles_.resize(n); + v.costs_.assign(n, kUnreachable); + v.root_of_.assign(n, -1); + // The replay (8.4): the mask and the program's own exclusions together. + const auto num_nodes = static_cast(g.num_nodes()); + const auto num_edges = static_cast(g.num_edges()); + std::vector node_ok(num_nodes, 0); + std::vector edge_ok(num_edges, 0); + for (std::size_t x = 0; x < num_nodes; ++x) node_ok[x] = mask->node_ok(static_cast(x)) ? 1 : 0; + for (NodeId x : p.excluded_nodes) node_ok[static_cast(x)] = 0; + for (std::size_t e = 0; e < num_edges; ++e) edge_ok[e] = mask->edge_ok(static_cast(e)) ? 1 : 0; + for (EdgeId e : p.excluded_edges) edge_ok[static_cast(e)] = 0; + std::vector live_dests; + std::vector is_dst(num_nodes, 0); + for (NodeId d : dests) { + if (node_ok[static_cast(d)] == 0) continue; + live_dests.push_back(d); + is_dst[static_cast(d)] = 1; + } + // The program's exclusions as an Eligibility of the replay (null when the program has none). + std::optional both; + const Eligibility* replay = mask; + if (!p.excluded_nodes.empty() || !p.excluded_edges.empty()) { + both = Eligibility::intersect(*mask, g.eligibility(p.excluded_nodes, p.excluded_edges)); + replay = &*both; + } + const auto keep = replay_roster(g, p, edge_ok, node_ok, is_dst); + for (std::size_t s = 0; s < p.roster.size(); ++s) { + if (keep[s] == 0) continue; + v.slots_.push_back(static_cast(s)); + if (!p.head_weight.empty()) v.weights_.push_back(p.head_weight[s]); + } + std::vector view_head(p.roster.size(), -1); + for (std::size_t h = 0; h < v.slots_.size(); ++h) view_head[static_cast(v.slots_[h])] = static_cast(h); + // Entries: a tunnel fails when it touches an excluded node or edge (an edge is excluded with its + // endpoints); a split route keeps its allowed edges on the walks from its head to an allowed + // destination and fails when none remains. Every entry of a head outside the replay roster fails. + for (std::size_t e = 0; e < n; ++e) { + const auto& entry = p.entries[e]; + bool failed = view_head[static_cast(entry.slot)] < 0; + if (entry.tunnel >= 0) { + for (EdgeId x : p.tunnels[static_cast(entry.tunnel)].edges) { + failed = failed || edge_ok[static_cast(x)] == 0; + } + if (!failed) { + if (records) { + v.bundles_[e] = std::make_shared( + PredDAGBuilder::of_edges(g, p.tunnels[static_cast(entry.tunnel)].edges)); + } + v.costs_[e] = entry.cost; + } + } else if (!failed) { + // A split route's route: its bundle (its edges before weight pruning). + const auto edges = PredDAGBuilder::ascending(*entry.bundle); + auto [bundle, cost] = masked_route(g, edges, entry.head, live_dests, replay); + failed = cost == kUnreachable; + v.bundles_[e] = std::move(bundle); + v.costs_[e] = cost; + } + if (failed) { + v.status_[e] = TunnelStatus::Failed; + v.bundles_[e] = records ? std::make_shared(PredDAGBuilder::empty(g)) : nullptr; + v.costs_[e] = kUnreachable; + } + } + // The split contexts restricted to the mask, rooted at their surviving entries' heads. + v.plans_.reserve(p.contexts.size()); + std::vector roots; + std::vector entries; + for (const auto& c : p.contexts) { + roots.clear(); + entries.clear(); + for (std::size_t r = 0; r < c.root_entry.size(); ++r) { + const auto e = static_cast(c.root_entry[r]); + if (v.status_[e] == TunnelStatus::Failed) continue; + roots.push_back(c.plan->roots[r]); + entries.push_back(c.root_entry[r]); + } + v.plans_.push_back(std::make_shared(restrict_plan(g, *c.plan, roots, live_dests, replay))); + for (std::size_t r = 0; r < entries.size(); ++r) v.root_of_[static_cast(entries[r])] = static_cast(r); + } + finish_view(v); + return v; +} + +ForwardingView with_black_holes(const ForwardingView& view, const Eligibility* dark) { + ForwardingView v = view; + v.dark = has_black_holes(dark) ? dark : nullptr; + if (v.borrowed && v.dark == nullptr) return v; + materialize(v); + // The statuses again from the replay's (a black hole never fails a tunnel; a mask does). + for (std::size_t t = 0; t < v.data->tunnels.size(); ++t) { + const auto e = static_cast(v.data->tunnel_entry[t]); + if (v.status_[e] == TunnelStatus::Blackholed) v.status_[e] = TunnelStatus::Up; + } + finish_view(v); + return v; +} + +// ================================================================ the injection + +namespace { + +// x mod d for a 128-bit x and d > 0. +std::uint64_t mod_u128(const Counter128& x, std::uint64_t d) noexcept { + const std::uint64_t q = div_u128(U128 {x.hi % d, x.lo}, d); + return x.lo - q * d; +} + +} // namespace + +void head_shares(const ForwardingView& view, Amount x, std::span out) { + std::fill(out.begin(), out.end(), 0); + if (out.empty()) return; + if (view.weights().empty()) { + (void)round_robin(x, out); + } else { + highest_averages(x, view.weights(), out); + } +} + +void head_increments(const ForwardingView& view, const Counter128& X, Amount v, std::span out) { + const std::size_t k = out.size(); + std::fill(out.begin(), out.end(), 0); + if (k == 0) return; + const auto weights = view.weights(); + if (weights.empty()) { + // RR(X + v) - RR(X) depends only on r = X mod k: floor((r + v) / k) + [i < (r + v) mod k] - [i < r]. + const auto kk = static_cast(k); + const std::uint64_t r = mod_u128(X, kk); + const auto total = static_cast(v) + r; + const auto base = static_cast(total / kk); + const std::uint64_t extra = total % kk; + for (std::size_t i = 0; i < k; ++i) out[i] = base + (i < extra ? 1 : 0) - (i < r ? 1 : 0); + return; + } + // H(X + c W) = H(X) + c w (the divisor rule's thresholds shift by c), so only r = X mod W and + // r + v enter: H(X + v) - H(X) = floor((r + v) / W) w + H((r + v) mod W) - H(r). Captured + // weights are a controller's solved supplies: W is its delivery, below the graph's capacity sum + // (< 2^62), so W, r + v and c w fit 64 bits. + std::uint64_t W = 0; + for (Amount w : weights) W += static_cast(w); + if (W == 0) return; + const std::uint64_t r = mod_u128(X, W); + const std::uint64_t t = r + static_cast(v); + const auto c = static_cast(t / W); + std::vector a(k); + std::vector b(k); + highest_averages(static_cast(r), weights, a); + highest_averages(static_cast(t % W), weights, b); + for (std::size_t i = 0; i < k; ++i) out[i] = c * weights[i] + b[i] - a[i]; +} + +namespace { + +// Each head's share over its surviving entries (highest averages by weight) into `share` (per +// program entry); what a head cannot place (black-holed, no surviving entry of positive weight) +// goes to `head_lost`. +void entry_shares(const ForwardingView& view, std::span heads, std::vector& share, + std::vector& head_lost, std::vector& w, std::vector& part) { + const ProgramData& p = *view.data; + share.assign(p.entries.size(), 0); + head_lost.assign(heads.size(), 0); + for (std::size_t h = 0; h < heads.size(); ++h) { + const Amount x = heads[h]; + if (x == 0) continue; + if (view.dark_head(h)) { + head_lost[h] = x; + continue; + } + const auto entries = view.head_entries(h); + w.resize(entries.size()); + bool positive = false; // a weight sum may exceed 2^63: only whether one weight is positive + for (std::size_t i = 0; i < entries.size(); ++i) { + w[i] = p.entries[static_cast(entries[i])].weight; + positive = positive || w[i] > 0; + } + if (!positive) { + head_lost[h] = x; + continue; + } + part.resize(entries.size()); + highest_averages(x, w, part); + for (std::size_t i = 0; i < entries.size(); ++i) share[static_cast(entries[i])] = part[i]; + } +} + +// The positive entries of a member-aligned array as (EdgeId, amount) pairs. +std::vector> positive_pairs(std::span members, std::span a) { + std::vector> out; + out.reserve(static_cast(std::count_if(a.begin(), a.end(), [](Amount x) { return x != 0; }))); + for (std::size_t m = 0; m < members.size(); ++m) { + if (a[m] != 0) out.emplace_back(members[m], a[m]); + } + return out; +} + +void sort_pairs(std::vector>& v) { + std::sort(v.begin(), v.end(), [](const auto& a, const auto& b) { return a.first < b.first; }); +} + +// A forwarding's outcome before anything is sent; the heads' own losses only for Lossy (no +// Lossless forwarding loses anything). +ProgramFlow empty_flow(const ForwardingView& view, bool lossy) { + ProgramFlow out; + out.entries.resize(view.data->entries.size()); + out.head_offered.assign(view.num_heads(), 0); + if (lossy) out.head_lost.assign(view.num_heads(), 0); + return out; +} + +// ================================================================ the pooled form + +// The free capacity of the pooled plan's members with the black holes at 0. +void pooled_view(const KernelPlan& plan, const ForwardingView& view, const FreeFn& free, std::vector& out) { + out.resize(plan.members.size()); + free(plan.members, out); + if (view.dark == nullptr) return; + for (std::size_t m = 0; m < plan.members.size(); ++m) { + if (!view.dark->edge_ok(plan.members[m])) out[m] = 0; + } +} + +// The pooled form's per-root amounts as entry flows (root r carries entry root_entry). +void pooled_entries(const ForwardingView& view, const KernelPlan& plan, const Attribution* attr, + std::span alloc, std::span drops, ProgramFlow& out) { + const ProgramData& p = *view.data; + for (std::size_t h = 0; h < view.num_heads(); ++h) { + const auto e = static_cast(view.head_entries(h).front()); + auto& f = out.entries[e]; + (void)p; + if (attr == nullptr) { + // One root holds the whole forwarding (the attribution's degenerate form). + f.carried = positive_pairs(plan.members, alloc); + if (!drops.empty()) f.dropped = positive_pairs(plan.members, drops); + continue; + } + for (const auto& x : attr->entries[h]) { + const EdgeId edge = plan.members[static_cast(x.member)]; + if (x.carried != 0) f.carried.emplace_back(edge, x.carried); + if (x.dropped != 0) f.dropped.emplace_back(edge, x.dropped); + } + } +} + +// The first black-holed head's index (the equal injection gives head i a unit from total i + 1), +// or the number of heads. +Amount first_dark(const ForwardingView& view) { + for (std::size_t h = 0; h < view.num_heads(); ++h) { + if (view.dark_head(h)) return static_cast(h); + } + return std::numeric_limits::max(); +} + +ProgramFlow pooled_lossless(const Graph& g, const ForwardingView& view, const FreeFn& free, Amount lo, + std::optional hi) { + const KernelPlan& plan = *view.plan(0); + ProgramFlow out = empty_flow(view, false); + const std::size_t k = view.num_heads(); + // A black-holed head may receive nothing: the total stays at most its index. + const Amount cap = std::min(hi.value_or(std::numeric_limits::max()), first_dark(view)); + std::vector V; + pooled_view(plan, view, free, V); + std::vector own(plan.members.size(), 0); + if (lo != 0 && !allocate(plan, lo, own)) throw std::logic_error("forwarding: the admitted total does not fit"); + Amount total = lo; + if (cap > lo && !plan.members.empty()) { + const std::optional request = + cap == std::numeric_limits::max() ? std::nullopt : std::optional(cap - lo); + auto step = lossless_step(g, plan, lo, V, own, request); + total = step.total; + own = std::move(step.alloc); + } + out.total = total; + head_shares(view, total, out.head_offered); + out.offered = total; + out.delivered = total; + for (std::size_t h = 0; h < k; ++h) { + const auto e = static_cast(view.head_entries(h).front()); + out.entries[e].assigned = out.head_offered[h]; + out.entries[e].delivered = out.head_offered[h]; + } + if (k > 1 && total > 0) { + // Several roots: forward the total again to attribute it. + Attribution attr; + const auto fw = forward(plan, Injection {out.head_offered, false}, {}, &attr); + if (fw.carried != own) throw std::logic_error("forwarding: the attributed loads differ from the admitted ones"); + pooled_entries(view, plan, &attr, {}, {}, out); + } else if (k == 1) { + pooled_entries(view, plan, nullptr, own, {}, out); + } + return out; +} + +ProgramFlow pooled_lossy(const ForwardingView& view, const FreeFn& free, std::span injections) { + const KernelPlan& plan = *view.plan(0); + ProgramFlow out = empty_flow(view, true); + const std::size_t k = view.num_heads(); + std::vector inject(injections.begin(), injections.end()); + for (std::size_t h = 0; h < k; ++h) { + out.head_offered[h] = injections[h]; + out.offered += injections[h]; + if (view.dark_head(h)) { + // A black-holed head loses its own share at the source. + out.head_lost[h] = injections[h]; + out.source_loss += injections[h]; + inject[h] = 0; + } + } + out.total = out.offered; + std::vector V; + pooled_view(plan, view, free, V); + Attribution attr; + const auto fw = forward(plan, Injection {inject, false}, V, k > 1 ? &attr : nullptr); + out.source_loss += fw.source_loss; + out.delivered = fw.delivered; + for (std::size_t h = 0; h < k; ++h) { + const auto e = static_cast(view.head_entries(h).front()); + auto& f = out.entries[e]; + f.assigned = inject[h]; + if (k > 1) { + f.delivered = attr.delivered[h]; + f.lost = attr.source_loss[h]; + } else { + f.delivered = fw.delivered; + f.lost = fw.source_loss; + } + } + pooled_entries(view, plan, k > 1 ? &attr : nullptr, fw.carried, fw.drops, out); + return out; +} + +// ================================================================ the general network + +// The live entries of one call (surviving, positive weight, a usable route) and the union of their +// links. A tunnel's occurrences are its hops in path order, a split route's its plan's members. +struct Net { + struct Item { + std::int32_t entry {0}; + std::int32_t head {0}; // view head + std::int32_t tunnel {-1}; + const KernelPlan* plan {nullptr}; + std::int32_t root_pos {-1}; + std::int32_t occ0 {0}; // its first occurrence + std::int32_t nocc {0}; + std::int32_t pos0 {0}; // its first router (split routes: one per plan position) + }; + std::vector items; + std::vector item_of; // per program entry: its item, or -1 (or -2: a routeless entry) + std::vector links; // ascending + std::vector V; // per link + std::vector occ_link; // per occurrence + std::vector occ_item; + std::vector occ_pos; // tunnel: hop; split route: member + std::vector link_begin; // per link + 1 into by_link + std::vector by_link; // occurrences, by (head NodeId, entry index) + std::int32_t num_pos {0}; + std::vector pos_item; // per router position: its item + std::vector in_member; // per router position: its one in-member, -1 none, -2 several +}; + +std::int32_t link_index(const Net& net, EdgeId e) { + return static_cast(std::lower_bound(net.links.begin(), net.links.end(), e) - net.links.begin()); +} + +Net build_net(const ForwardingView& view, const FreeFn& free) { + const ProgramData& p = *view.data; + Net net; + net.item_of.assign(p.entries.size(), -1); + for (std::size_t h = 0; h < view.num_heads(); ++h) { + for (const std::int32_t ei : view.head_entries(h)) { + const auto e = static_cast(ei); + const auto& entry = p.entries[e]; + if (entry.weight == 0) continue; + Net::Item it; + it.entry = static_cast(e); + it.head = static_cast(h); + if (entry.tunnel >= 0) { + it.tunnel = entry.tunnel; + it.nocc = static_cast(p.tunnels[static_cast(entry.tunnel)].edges.size()); + } else { + it.plan = view.plan(static_cast(entry.context)).get(); + const auto r = view.root_of(e); + it.root_pos = r < 0 ? -1 : it.plan->root_pos[static_cast(r)]; + if (it.root_pos < 0) { + net.item_of[e] = -2; // its share has no route: lost at the source + continue; + } + it.nocc = static_cast(it.plan->members.size()); + it.pos0 = net.num_pos; + net.num_pos += static_cast(it.plan->topo.size()); + } + net.item_of[e] = static_cast(net.items.size()); + net.items.push_back(it); + } + } + std::int32_t nocc = 0; + for (auto& it : net.items) { + it.occ0 = nocc; + nocc += it.nocc; + if (it.tunnel >= 0) { + const auto& edges = p.tunnels[static_cast(it.tunnel)].edges; + net.links.insert(net.links.end(), edges.begin(), edges.end()); + } else { + net.links.insert(net.links.end(), it.plan->members.begin(), it.plan->members.end()); + } + } + std::sort(net.links.begin(), net.links.end()); + net.links.erase(std::unique(net.links.begin(), net.links.end()), net.links.end()); + net.V.resize(net.links.size()); + free(net.links, net.V); + for (std::size_t l = 0; view.dark != nullptr && l < net.links.size(); ++l) { + if (!view.dark->edge_ok(net.links[l])) net.V[l] = 0; + } + const auto n = static_cast(nocc); + net.occ_link.resize(n); + net.occ_item.resize(n); + net.occ_pos.resize(n); + for (std::size_t i = 0; i < net.items.size(); ++i) { + const auto& it = net.items[i]; + for (std::int32_t j = 0; j < it.nocc; ++j) { + const auto o = static_cast(it.occ0 + j); + const EdgeId e = it.tunnel >= 0 ? p.tunnels[static_cast(it.tunnel)].edges[static_cast(j)] + : it.plan->members[static_cast(j)]; + net.occ_link[o] = link_index(net, e); + net.occ_item[o] = static_cast(i); + net.occ_pos[o] = j; + } + } + net.pos_item.resize(static_cast(net.num_pos)); + net.in_member.assign(static_cast(net.num_pos), -1); + for (std::size_t i = 0; i < net.items.size(); ++i) { + const auto& it = net.items[i]; + if (it.tunnel >= 0) continue; + for (std::size_t pos = 0; pos < it.plan->topo.size(); ++pos) net.pos_item[static_cast(it.pos0) + pos] = static_cast(i); + for (std::int32_t m = 0; m < it.nocc; ++m) { + auto& slot = net.in_member[static_cast(it.pos0 + it.plan->head_pos[static_cast(m)])]; + slot = slot == -1 ? m : -2; + } + } + net.link_begin.assign(net.links.size() + 1, 0); + for (auto l : net.occ_link) ++net.link_begin[static_cast(l) + 1]; + for (std::size_t l = 0; l < net.links.size(); ++l) net.link_begin[l + 1] += net.link_begin[l]; + net.by_link.resize(n); + std::vector fill(net.link_begin.begin(), net.link_begin.end() - 1); + // Occurrences are numbered by item, items by (head, entry index): each link's list comes out in + // the loss rule's order (sources ascending, then entries ascending). + for (std::size_t o = 0; o < n; ++o) net.by_link[static_cast(fill[static_cast(net.occ_link[o])]++)] = static_cast(o); + return net; +} + +// The no-drop loads of the entries' shares per link (and per occurrence when `occ` is given). +// A split route allocates its share over its plan from its root. +void no_drop(const Net& net, const ProgramData& p, std::span share, std::vector& load, + std::vector* occ, std::vector& scratch) { + load.assign(net.links.size(), 0); + if (occ != nullptr) occ->assign(net.occ_link.size(), 0); + for (const auto& it : net.items) { + const Amount s = share[static_cast(it.entry)]; + if (s == 0) continue; + if (it.tunnel >= 0) { + for (std::int32_t j = 0; j < it.nocc; ++j) { + const auto o = static_cast(it.occ0 + j); + load[static_cast(net.occ_link[o])] += s; + if (occ != nullptr) (*occ)[o] = s; + } + continue; + } + scratch.resize(it.plan->members.size()); + (void)allocate(*it.plan, s, scratch); + for (std::int32_t j = 0; j < it.nocc; ++j) { + const auto o = static_cast(it.occ0 + j); + load[static_cast(net.occ_link[o])] += scratch[static_cast(j)]; + if (occ != nullptr) (*occ)[o] = scratch[static_cast(j)]; + } + } + (void)p; +} + +// The router split of a split route's plan position p: round robin or highest averages over +// its out-members. +void split_at(const KernelPlan& plan, std::size_t pos, Amount amount, std::span out) { + const auto b = static_cast(plan.out_begin[pos]); + const auto e = static_cast(plan.out_end[pos]); + std::fill(out.begin(), out.end(), 0); + if (amount == 0 || e == b) return; + if (plan.placement == FlowPlacement::Weighted) { + highest_averages(amount, std::span(plan.weights.data() + b, e - b), out); + } else { + (void)round_robin(amount, out); + } +} + +// The loss rule at one link: T = min(V, sum of the arrivals); highest averages over the sources' +// arrivals, then within a source over its entries'. `occs` lists the link's occurrences by +// (source, entry); writes their carried amounts. +void loss_rule(const Net& net, std::span occs, Amount V, std::span arrival, + std::span carried, std::vector& wa, std::vector& wb) { + Amount sum = 0; + for (auto o : occs) sum += arrival[static_cast(o)]; + if (sum <= V) { + for (auto o : occs) carried[static_cast(o)] = arrival[static_cast(o)]; + return; + } + // The source groups: consecutive runs of one head. + wa.clear(); + std::vector run; // the first index of each source's run + for (std::size_t i = 0; i < occs.size(); ++i) { + const auto head = net.items[static_cast(net.occ_item[static_cast(occs[i])])].head; + if (i == 0 || head != net.items[static_cast(net.occ_item[static_cast(occs[i - 1])])].head) { + run.push_back(i); + wa.push_back(0); + } + wa.back() += arrival[static_cast(occs[i])]; + } + run.push_back(occs.size()); + wb.resize(wa.size()); + highest_averages(V, wa, wb); + std::vector w; + std::vector c; + for (std::size_t s = 0; s + 1 < run.size(); ++s) { + const std::size_t b = run[s]; + const std::size_t e = run[s + 1]; + w.resize(e - b); + c.resize(e - b); + for (std::size_t i = b; i < e; ++i) w[i - b] = arrival[static_cast(occs[i])]; + highest_averages(wb[s], w, c); + for (std::size_t i = b; i < e; ++i) carried[static_cast(occs[i])] = c[i - b]; + } +} + +// ---------------------------------------------------------------- the general lossless bound + +ProgramFlow general_lossless(const ForwardingView& view, const FreeFn& free, Amount lo, std::optional hi) { + const ProgramData& p = *view.data; + const Net net = build_net(view, free); + const std::size_t k = view.num_heads(); + std::vector heads(k); + std::vector share; + std::vector head_lost; + std::vector w; + std::vector part; + std::vector load; + std::vector scratch; + auto fits = [&](Amount t) { + head_shares(view, t, heads); + // Units no head receives (every captured weight 0) have no route. + Amount given = 0; + for (Amount x : heads) given += x; + if (given != t) return false; + entry_shares(view, heads, share, head_lost, w, part); + for (Amount x : head_lost) { + if (x != 0) return false; + } + for (std::size_t e = 0; e < share.size(); ++e) { + if (share[e] != 0 && net.item_of[e] == -2) return false; // a share with no route + } + no_drop(net, p, share, load, nullptr, scratch); + for (std::size_t l = 0; l < load.size(); ++l) { + if (load[l] > net.V[l]) return false; + } + return true; + }; + // An upper bound: every unit leaves on an entry's first link, which carries it without a drop; + // with no head, nothing enters. + Amount top = 0; + { + std::vector first(net.links.size(), 0); + for (const auto& it : net.items) { + if (it.tunnel >= 0) { + first[static_cast(net.occ_link[static_cast(it.occ0)])] = 1; + } else { + const auto rp = static_cast(it.root_pos); + for (auto m = it.plan->out_begin[rp]; m < it.plan->out_end[rp]; ++m) { + first[static_cast(net.occ_link[static_cast(it.occ0 + m)])] = 1; + } + } + } + for (std::size_t l = 0; l < first.size(); ++l) { + if (first[l] != 0) top += net.V[l]; + } + } + Amount upper = hi.has_value() ? std::min(*hi, std::max(top, lo)) : std::max(top, lo); + Amount best = lo; + if (upper > lo) { + if (fits(upper)) { + best = upper; + } else { + // The largest fitting total in [lo, upper - 1]: lo fits and upper does not (a prefix). + Amount a = lo; + Amount b = upper; + while (b - a > 1) { + const Amount mid = a + (b - a) / 2; + if (fits(mid)) { + a = mid; + } else { + b = mid; + } + } + best = a; + } + } + // The loads of the admitted total. + ProgramFlow out = empty_flow(view, false); + out.total = best; + head_shares(view, best, out.head_offered); + entry_shares(view, out.head_offered, share, head_lost, w, part); + std::vector occ; + no_drop(net, p, share, load, &occ, scratch); + for (std::size_t l = 0; l < load.size(); ++l) { + if (load[l] > net.V[l]) throw std::logic_error("forwarding: the admitted total does not fit"); + } + for (Amount x : out.head_offered) out.offered += x; + out.delivered = out.offered; + for (const auto& it : net.items) { + auto& f = out.entries[static_cast(it.entry)]; + f.assigned = share[static_cast(it.entry)]; + f.delivered = f.assigned; + for (std::int32_t j = 0; j < it.nocc; ++j) { + const auto o = static_cast(it.occ0 + j); + if (occ[o] != 0) f.carried.emplace_back(net.links[static_cast(net.occ_link[o])], occ[o]); + } + if (it.tunnel >= 0) sort_pairs(f.carried); + } + return out; +} + +// ---------------------------------------------------------------- the general loss rule (A+) + +class Lossy { +public: + Lossy(const ForwardingView& view, const Net& net) : view_(view), p_(*view.data), net_(net) {} + + ProgramFlow run(std::span injections); + +private: + // Event ids: barriers [0, nb), routers [nb, nb + num_pos). + [[nodiscard]] std::int32_t router(const Net::Item& it, std::int32_t pos) const noexcept { + return nb_ + it.pos0 + pos; + } + [[nodiscard]] bool barrier_occ(std::int32_t o) const noexcept { + return barrier_[static_cast(net_.occ_link[static_cast(o)])] >= 0; + } + [[nodiscard]] std::int32_t event_of_occ(std::int32_t o) const noexcept { + return barrier_[static_cast(net_.occ_link[static_cast(o)])]; + } + // A push into event `ev` is suppressed while a group iterates and ev lies outside it. + [[nodiscard]] bool blocked(std::int32_t ev) const noexcept { return iterating_ && scc_[static_cast(ev)] != current_; } + + void normalize(std::span U0); + void build_events(); + void tarjan(); + void carry(std::int32_t o, Amount c); + void split(std::int32_t ev); + void evaluate_barrier(std::int32_t ev); + void iterate(std::int32_t scc); + void verify(std::span share) const; + + const ForwardingView& view_; + const ProgramData& p_; + const Net& net_; + std::vector tail_; // per occurrence of a split route: its member's tail position + std::vector transparent_; // per link: the second link of a transparent pair + std::vector barrier_; // per link: its event, or -1 (a pass-through) + std::vector barrier_link_; + std::int32_t nb_ {0}; + std::int32_t num_events_ {0}; + std::vector adj_begin_; + std::vector adj_; + std::vector scc_; + std::int32_t num_scc_ {0}; + bool iterating_ {false}; + std::int32_t current_ {-1}; + std::vector arrival_; + std::vector carried_; + std::vector inflow_; // per router position + std::vector delivered_; // per item + std::vector part_; + std::vector wa_; + std::vector wb_; + bool iterated_ {false}; +}; + +void Lossy::normalize(std::span U0) { + const std::size_t L = net_.links.size(); + transparent_.assign(L, 0); + // Per link: the one link every occurrence continues on, and the one every occurrence comes from + // (-1: none yet; -2: they differ, or an occurrence is injected, absorbed, merged or split there). + std::vector next(L, -1); + std::vector prev(L, -1); + auto merge = [](std::int32_t& slot, std::int32_t v) { + if (slot == -1) { + slot = v; + } else if (slot != v) { + slot = -2; + } + }; + for (std::size_t o = 0; o < net_.occ_link.size(); ++o) { + const auto l = static_cast(net_.occ_link[o]); + const auto& it = net_.items[static_cast(net_.occ_item[o])]; + const std::int32_t j = net_.occ_pos[o]; + std::int32_t succ = -2; + std::int32_t pred = -2; + if (it.tunnel >= 0) { + if (j + 1 < it.nocc) succ = net_.occ_link[static_cast(it.occ0 + j + 1)]; + if (j > 0) pred = net_.occ_link[static_cast(it.occ0 + j - 1)]; + } else { + const auto& plan = *it.plan; + // Continues: its head is no destination and no root, holds this member alone as its + // in-member and has one out-member. + const auto q = static_cast(plan.head_pos[static_cast(j)]); + if (plan.terminal[q] == 0 && static_cast(q) != it.root_pos && + plan.out_end[q] - plan.out_begin[q] == 1 && net_.in_member[static_cast(it.pos0) + q] == j) { + succ = net_.occ_link[static_cast(it.occ0 + plan.out_begin[q])]; + } + // Comes from: its tail is no root, has one in-member and this one out-member. + const auto t = static_cast(tail_[static_cast(it.occ0 + j)]); + const auto in = net_.in_member[static_cast(it.pos0) + t]; + if (static_cast(t) != it.root_pos && in >= 0 && plan.out_end[t] - plan.out_begin[t] == 1) { + pred = net_.occ_link[static_cast(it.occ0 + in)]; + } + } + merge(next[l], succ); + merge(prev[l], pred); + } + for (std::size_t l = 0; l < L; ++l) { + const auto n = next[l]; + if (n < 0) continue; + const auto ni = static_cast(n); + if (prev[ni] != static_cast(l) || net_.V[l] != net_.V[ni]) continue; + transparent_[ni] = 1; + } + barrier_.assign(L, -1); + barrier_link_.clear(); + for (std::size_t l = 0; l < L; ++l) { + if (transparent_[l] == 0 && U0[l] > net_.V[l]) { + barrier_[l] = static_cast(barrier_link_.size()); + barrier_link_.push_back(static_cast(l)); + } + } + nb_ = static_cast(barrier_link_.size()); + num_events_ = nb_ + net_.num_pos; +} + +void Lossy::build_events() { + std::vector> edges; + for (const auto& it : net_.items) { + if (it.tunnel >= 0) { + std::int32_t last = -1; + for (std::int32_t j = 0; j < it.nocc; ++j) { + const auto ev = event_of_occ(it.occ0 + j); + if (ev < 0) continue; + if (last >= 0) edges.emplace_back(last, ev); + last = ev; + } + continue; + } + const auto& plan = *it.plan; + for (std::size_t pos = 0; pos < plan.topo.size(); ++pos) { + for (auto m = plan.out_begin[pos]; m < plan.out_end[pos]; ++m) { + const auto o = it.occ0 + m; + const auto from = router(it, static_cast(pos)); + const auto to = router(it, plan.head_pos[static_cast(m)]); + const auto ev = event_of_occ(o); + if (ev >= 0) { + edges.emplace_back(from, ev); + edges.emplace_back(ev, to); + } else { + edges.emplace_back(from, to); + } + } + } + } + adj_begin_.assign(static_cast(num_events_) + 1, 0); + for (const auto& [a, b] : edges) ++adj_begin_[static_cast(a) + 1]; + for (std::size_t v = 0; v < static_cast(num_events_); ++v) adj_begin_[v + 1] += adj_begin_[v]; + adj_.resize(edges.size()); + std::vector fill(adj_begin_.begin(), adj_begin_.end() - 1); + for (const auto& [a, b] : edges) adj_[static_cast(fill[static_cast(a)]++)] = b; +} + +// Tarjan's strongly connected components, iterative (no recursion depth). +void Lossy::tarjan() { + const auto n = static_cast(num_events_); + scc_.assign(n, -1); + std::vector index(n, -1); + std::vector low(n, 0); + std::vector on(n, 0); + std::vector stack; + std::vector> work; // (event, next adjacency position) + std::int32_t counter = 0; + num_scc_ = 0; + for (std::size_t s = 0; s < n; ++s) { + if (index[s] >= 0) continue; + work.emplace_back(static_cast(s), adj_begin_[s]); + index[s] = low[s] = counter++; + stack.push_back(static_cast(s)); + on[s] = 1; + while (!work.empty()) { + auto& [v, k] = work.back(); + const auto vi = static_cast(v); + if (k < adj_begin_[vi + 1]) { + const auto w = static_cast(adj_[static_cast(k)]); + ++k; + if (index[w] < 0) { + index[w] = low[w] = counter++; + stack.push_back(static_cast(w)); + on[w] = 1; + work.emplace_back(static_cast(w), adj_begin_[w]); + } else if (on[w] != 0) { + low[vi] = std::min(low[vi], index[w]); + } + continue; + } + if (low[vi] == index[vi]) { + while (true) { + const auto w = static_cast(stack.back()); + stack.pop_back(); + on[w] = 0; + scc_[w] = num_scc_; + if (w == vi) break; + } + ++num_scc_; + } + const auto done = v; + work.pop_back(); + if (!work.empty()) { + const auto u = static_cast(work.back().first); + low[u] = std::min(low[u], low[static_cast(done)]); + } + } + } +} + +// Occurrence o now carries c: forward it to what it feeds (a split route's head router, a +// tunnel's next hops up to its next barrier or its end). +void Lossy::carry(std::int32_t o, Amount c) { + carried_[static_cast(o)] = c; + const auto& it = net_.items[static_cast(net_.occ_item[static_cast(o)])]; + const std::int32_t j = net_.occ_pos[static_cast(o)]; + if (it.tunnel < 0) { + const auto q = it.plan->head_pos[static_cast(j)]; + const auto ev = router(it, q); + if (!blocked(ev)) inflow_[static_cast(it.pos0 + q)] += c; + return; + } + for (std::int32_t h = j + 1;; ++h) { + if (h == it.nocc) { + // The tunnel's end is no event of a group. + if (!iterating_) delivered_[static_cast(net_.occ_item[static_cast(o)])] = c; + return; + } + const auto o2 = it.occ0 + h; + const auto ev = event_of_occ(o2); + if (ev >= 0) { + if (!blocked(ev)) arrival_[static_cast(o2)] = c; + return; + } + arrival_[static_cast(o2)] = c; + carried_[static_cast(o2)] = c; + } +} + +// A router splits what it holds once over its out-members; a pass-through member carries its +// whole arrival on at once. +void Lossy::split(std::int32_t ev) { + const auto pos_global = ev - nb_; + const auto& it = net_.items[static_cast(net_.pos_item[static_cast(pos_global)])]; + const auto& plan = *it.plan; + const auto pos = static_cast(pos_global - it.pos0); + if (plan.terminal[pos] != 0) return; + const auto b = static_cast(plan.out_begin[pos]); + const auto e = static_cast(plan.out_end[pos]); + part_.resize(e - b); + split_at(plan, pos, inflow_[static_cast(pos_global)], part_); + for (std::size_t m = b; m < e; ++m) { + const auto o = it.occ0 + static_cast(m); + const Amount x = part_[m - b]; + const auto bev = event_of_occ(o); + if (bev >= 0) { + if (!blocked(bev)) arrival_[static_cast(o)] = x; + continue; + } + arrival_[static_cast(o)] = x; + carry(o, x); + } +} + +void Lossy::evaluate_barrier(std::int32_t ev) { + const auto l = static_cast(barrier_link_[static_cast(ev)]); + const auto occs = std::span(net_.by_link).subspan( + static_cast(net_.link_begin[l]), static_cast(net_.link_begin[l + 1] - net_.link_begin[l])); + loss_rule(net_, occs, net_.V[l], arrival_, carried_, wa_, wb_); + for (auto o : occs) carry(o, carried_[static_cast(o)]); +} + +// A cyclic group (9.4): rounds from zero carried at its barriers. +void Lossy::iterate(std::int32_t scc) { + iterated_ = true; + current_ = scc; + std::vector barriers; + std::vector routers; + for (std::int32_t ev = 0; ev < num_events_; ++ev) { + if (scc_[static_cast(ev)] != scc) continue; + (ev < nb_ ? barriers : routers).push_back(ev); + } + // The group's routers in an order that respects router -> router edges (barriers cut). + { + std::vector indeg(static_cast(num_events_), 0); + for (auto r : routers) { + for (auto k = adj_begin_[static_cast(r)]; k < adj_begin_[static_cast(r) + 1]; ++k) { + const auto w = adj_[static_cast(k)]; + if (w >= nb_ && scc_[static_cast(w)] == scc) ++indeg[static_cast(w)]; + } + } + std::vector order; + std::vector ready; + for (auto r : routers) { + if (indeg[static_cast(r)] == 0) ready.push_back(r); + } + while (!ready.empty()) { + const auto r = ready.back(); + ready.pop_back(); + order.push_back(r); + for (auto k = adj_begin_[static_cast(r)]; k < adj_begin_[static_cast(r) + 1]; ++k) { + const auto w = adj_[static_cast(k)]; + if (w >= nb_ && scc_[static_cast(w)] == scc && --indeg[static_cast(w)] == 0) ready.push_back(w); + } + } + routers.swap(order); + } + // The state x: every carried amount at the group's barriers, by EdgeId then source then entry + // (the barriers ascend by EdgeId; a link's occurrences are in that order). + std::vector occs; + for (auto b : barriers) { + const auto l = static_cast(barrier_link_[static_cast(b)]); + for (auto i = net_.link_begin[l]; i < net_.link_begin[l + 1]; ++i) occs.push_back(net_.by_link[static_cast(i)]); + } + std::vector inflow0(routers.size()); + for (std::size_t i = 0; i < routers.size(); ++i) inflow0[i] = inflow_[static_cast(routers[i] - nb_)]; + std::vector x(occs.size(), 0); + std::vector next(occs.size(), 0); + std::vector before(occs.size(), 0); // x(r - 2) + const auto limit = static_cast(64) * static_cast(barriers.size()); + auto replay = [&]() { + for (std::size_t i = 0; i < routers.size(); ++i) inflow_[static_cast(routers[i] - nb_)] = inflow0[i]; + for (std::size_t i = 0; i < occs.size(); ++i) carry(occs[i], x[i]); + for (auto r : routers) split(r); + }; + iterating_ = true; + bool solved = false; + for (std::int64_t round = 1; round <= limit; ++round) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + ++thread_lossy_counters().rounds; +#endif + replay(); + // Every new carry into a separate state. + for (auto b : barriers) { + const auto l = static_cast(barrier_link_[static_cast(b)]); + const auto span = std::span(net_.by_link).subspan( + static_cast(net_.link_begin[l]), static_cast(net_.link_begin[l + 1] - net_.link_begin[l])); + loss_rule(net_, span, net_.V[l], arrival_, carried_, wa_, wb_); + } + for (std::size_t i = 0; i < occs.size(); ++i) next[i] = carried_[static_cast(occs[i])]; + if (next == x) { + solved = true; + break; + } + if (round >= 2 && next == before) { + iterating_ = false; + throw std::invalid_argument("lossy forwarding iteration entered a period-2 cycle"); + } + before.swap(x); + x.swap(next); + } + if (!solved) { + iterating_ = false; + throw std::invalid_argument("lossy forwarding iteration did not reach a fixed point within the round limit"); + } + // The solved state's forwarding, now also into the group's successors. + iterating_ = false; + current_ = -1; + for (std::size_t i = 0; i < routers.size(); ++i) inflow_[static_cast(routers[i] - nb_)] = inflow0[i]; + for (std::size_t i = 0; i < occs.size(); ++i) carry(occs[i], x[i]); + for (auto r : routers) split(r); +} + +// The independent check of an iterated result (9.4 step 5): every entry's injection, every +// router's split of what reaches it, every link's loss rule and capacity, every continuation, and +// each entry's conservation (delivered + drops = its share). +void Lossy::verify(std::span share) const { + const auto fail = [] { throw std::runtime_error("lossy forwarding fixed-point verification failed"); }; + // Continuations and splits. + std::vector in(static_cast(net_.num_pos), 0); + std::vector part; + for (std::size_t i = 0; i < net_.items.size(); ++i) { + const auto& it = net_.items[i]; + const Amount s = share[static_cast(it.entry)]; + if (it.tunnel >= 0) { + Amount prev = s; + Amount dropped = 0; + for (std::int32_t j = 0; j < it.nocc; ++j) { + const auto o = static_cast(it.occ0 + j); + if (arrival_[o] != prev || carried_[o] > arrival_[o] || carried_[o] < 0) fail(); + dropped += arrival_[o] - carried_[o]; + prev = carried_[o]; + } + if (delivered_[i] != prev || delivered_[i] + dropped != s) fail(); + continue; + } + const auto& plan = *it.plan; + in[static_cast(it.pos0 + it.root_pos)] += s; + Amount dropped = 0; + Amount reached = 0; + for (std::size_t pos = 0; pos < plan.topo.size(); ++pos) { + const Amount amount = in[static_cast(it.pos0) + pos]; + if (plan.terminal[pos] != 0) { + reached += amount; + continue; + } + const auto b = static_cast(plan.out_begin[pos]); + const auto e = static_cast(plan.out_end[pos]); + part.resize(e - b); + split_at(plan, pos, amount, part); + for (std::size_t m = b; m < e; ++m) { + const auto o = static_cast(it.occ0) + m; + if (arrival_[o] != part[m - b] || carried_[o] > arrival_[o] || carried_[o] < 0) fail(); + dropped += arrival_[o] - carried_[o]; + in[static_cast(it.pos0 + plan.head_pos[m])] += carried_[o]; + } + } + if (delivered_[i] != reached || reached + dropped != s) fail(); + } + // Every link: its loss rule over the arrivals (a transparent link passes everything on) and + // its capacity. + std::vector expect(carried_.size(), 0); + std::vector wa; + std::vector wb; + for (std::size_t l = 0; l < net_.links.size(); ++l) { + const auto occs = std::span(net_.by_link).subspan( + static_cast(net_.link_begin[l]), static_cast(net_.link_begin[l + 1] - net_.link_begin[l])); + Amount sum = 0; + for (auto o : occs) sum += carried_[static_cast(o)]; + if (sum > net_.V[l]) fail(); + if (transparent_[l] != 0) { + for (auto o : occs) { + if (carried_[static_cast(o)] != arrival_[static_cast(o)]) fail(); + } + continue; + } + loss_rule(net_, occs, net_.V[l], arrival_, expect, wa, wb); + for (auto o : occs) { + if (expect[static_cast(o)] != carried_[static_cast(o)]) fail(); + } + } +} + +ProgramFlow Lossy::run(std::span injections) { + const std::size_t k = view_.num_heads(); + ProgramFlow out = empty_flow(view_, true); + for (std::size_t h = 0; h < k; ++h) { + out.head_offered[h] = injections[h]; + out.offered += injections[h]; + } + out.total = out.offered; + std::vector share; + std::vector head_lost; + std::vector w; + std::vector part; + entry_shares(view_, injections, share, head_lost, w, part); + for (std::size_t h = 0; h < k; ++h) { + out.head_lost[h] = head_lost[h]; + out.source_loss += head_lost[h]; + } + for (std::size_t e = 0; e < share.size(); ++e) { + out.entries[e].assigned = share[e]; + if (share[e] != 0 && net_.item_of[e] == -2) { + out.entries[e].lost = share[e]; + out.source_loss += share[e]; + } + } + // A+: the no-drop loads first, then the barriers. + std::vector U0; + std::vector scratch; + no_drop(net_, p_, share, U0, nullptr, scratch); + tail_.assign(net_.occ_link.size(), -1); + for (const auto& it : net_.items) { + if (it.tunnel >= 0) continue; + for (std::size_t pos = 0; pos < it.plan->topo.size(); ++pos) { + for (auto m = it.plan->out_begin[pos]; m < it.plan->out_end[pos]; ++m) tail_[static_cast(it.occ0 + m)] = static_cast(pos); + } + } + normalize(U0); + const auto n = net_.occ_link.size(); + arrival_.assign(n, 0); + carried_.assign(n, 0); + inflow_.assign(static_cast(net_.num_pos), 0); + delivered_.assign(net_.items.size(), 0); + build_events(); + tarjan(); + // The injections: a tunnel's share enters its first hop, a split route's its root router. + for (std::size_t i = 0; i < net_.items.size(); ++i) { + const auto& it = net_.items[i]; + const Amount s = share[static_cast(it.entry)]; + if (it.tunnel >= 0) { + const auto o = it.occ0; + arrival_[static_cast(o)] = s; + if (event_of_occ(o) < 0) carry(o, s); + } else { + inflow_[static_cast(it.pos0 + it.root_pos)] += s; + } + } + // The groups in dependency order, the smallest key first among the ready ones. + const auto ns = static_cast(num_scc_); + std::vector> members(ns); + for (std::int32_t ev = 0; ev < num_events_; ++ev) members[static_cast(scc_[static_cast(ev)])].push_back(ev); + std::vector indeg(ns, 0); + std::vector cyclic(ns, 0); + for (std::int32_t ev = 0; ev < num_events_; ++ev) { + const auto a = scc_[static_cast(ev)]; + for (auto kk = adj_begin_[static_cast(ev)]; kk < adj_begin_[static_cast(ev) + 1]; ++kk) { + const auto b = scc_[static_cast(adj_[static_cast(kk)])]; + if (a == b) { + cyclic[static_cast(a)] = 1; + } else { + ++indeg[static_cast(b)]; + } + } + } + using Key = std::tuple; + auto key = [&](std::int32_t s) -> Key { + const auto& m = members[static_cast(s)]; + std::int64_t edge = std::numeric_limits::max(); + for (auto ev : m) { + if (ev < nb_) edge = std::min(edge, net_.links[static_cast(barrier_link_[static_cast(ev)])]); + } + if (edge != std::numeric_limits::max()) return {0, edge, s}; + return {1, m.front(), s}; + }; + std::priority_queue, std::greater<>> ready; + for (std::size_t s = 0; s < ns; ++s) { + if (indeg[s] == 0) ready.push(key(static_cast(s))); + } + while (!ready.empty()) { + const auto s = std::get<2>(ready.top()); + ready.pop(); + const auto& m = members[static_cast(s)]; + if (cyclic[static_cast(s)] != 0) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + ++thread_lossy_counters().groups; +#endif + iterate(s); + } else if (m.front() < nb_) { + evaluate_barrier(m.front()); + } else { + split(m.front()); + } + for (auto ev : m) { + for (auto kk = adj_begin_[static_cast(ev)]; kk < adj_begin_[static_cast(ev) + 1]; ++kk) { + const auto b = scc_[static_cast(adj_[static_cast(kk)])]; + if (b != s && --indeg[static_cast(b)] == 0) ready.push(key(b)); + } + } + } + // Split routes deliver what reaches their destinations. + for (std::size_t i = 0; i < net_.items.size(); ++i) { + const auto& it = net_.items[i]; + if (it.tunnel >= 0) continue; + Amount d = 0; + for (std::size_t pos = 0; pos < it.plan->topo.size(); ++pos) { + if (it.plan->terminal[pos] != 0) d += inflow_[static_cast(it.pos0) + pos]; + } + delivered_[i] = d; + } + if (iterated_) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + if (thread_lossy_counters().corrupt && !carried_.empty()) { + // The planted fault of the check's test: one carried amount changed after the rounds. + for (auto& c : carried_) { + if (c > 0) { + --c; + break; + } + } + } +#endif + verify(share); + } + for (std::size_t i = 0; i < net_.items.size(); ++i) { + const auto& it = net_.items[i]; + auto& f = out.entries[static_cast(it.entry)]; + f.delivered = delivered_[i]; + out.delivered += delivered_[i]; + for (std::int32_t j = 0; j < it.nocc; ++j) { + const auto o = static_cast(it.occ0 + j); + const EdgeId e = net_.links[static_cast(net_.occ_link[o])]; + if (carried_[o] != 0) f.carried.emplace_back(e, carried_[o]); + if (arrival_[o] != carried_[o]) f.dropped.emplace_back(e, arrival_[o] - carried_[o]); + } + if (it.tunnel >= 0) { + sort_pairs(f.carried); + sort_pairs(f.dropped); + } + } + return out; +} + +} // namespace + +ProgramFlow lossless(const Graph& g, const ForwardingView& view, const FreeFn& free, Amount lo, std::optional hi) { + if (view.pooled) return pooled_lossless(g, view, free, lo, hi); + return general_lossless(view, free, lo, hi); +} + +ProgramFlow lossy(const Graph& g, const ForwardingView& view, const FreeFn& free, std::span injections) { + (void)g; + if (injections.size() != view.num_heads()) throw std::logic_error("forwarding: the injections are not head-aligned"); +#if NETGRAPH_CORE_PRIVATE_HOOKS + thread_lossy_counters().groups = 0; + thread_lossy_counters().rounds = 0; +#endif + if (view.pooled) return pooled_lossy(view, free, injections); + const Net net = build_net(view, free); + Lossy run(view, net); + return run.run(injections); +} + +} // namespace netgraph::core::detail diff --git a/src/kernels.cpp b/src/kernels.cpp index 0a3c1bd..bdd039a 100644 --- a/src/kernels.cpp +++ b/src/kernels.cpp @@ -5,8 +5,8 @@ members (the graph's capacities sum below 2^62), each node's inflow by T, and each share by that inflow. Highest averages compares w_i/d_i and w_j/d_j through w_i*d_j and w_j*d_i (operands < 2^63, products < 2^126). The - lower quota floor(I*w/W) uses a 128-bit product, with inflow I, weight w and weight sum - W < 2^62. + lower quota floor(I*w/W) uses a 128-bit product, with inflow I, weight w < 2^62 and the exact + 128-bit weight sum W (explicit weights are each below 2^62, not their sum). */ #include "netgraph/core/detail/kernels.hpp" @@ -41,9 +41,9 @@ bool before(std::uint64_t wi, std::uint64_t di, std::size_t i, std::uint64_t wj, void highest_averages(Amount total, std::span weights, std::span out) { const std::size_t k = weights.size(); - std::uint64_t wsum = 0; - for (Amount w : weights) wsum += static_cast(w); - if (wsum == 0) { // all-zero weights give nothing + U128 wsum {}; + for (Amount w : weights) wsum = add(wsum, U128 {0, static_cast(w)}); + if (wsum == U128 {}) { // all-zero weights give nothing std::fill(out.begin(), out.begin() + static_cast(k), 0); return; } @@ -89,20 +89,16 @@ void highest_averages(Amount total, std::span weights, std::span roo } // namespace -std::vector prune(const Graph& g, const PredDAG& dag, NodeId src, std::span dsts) { +std::vector prune(const Graph& g, const PredDAG& dag, NodeId src, std::span dsts, + const Eligibility* elig) { KernelPlan plan; - build_split(g, dag, {&src, 1}, dsts, [](EdgeId) { return true; }, &plan, nullptr); + build_split(g, dag, {&src, 1}, dsts, [&](EdgeId e) { return elig == nullptr || elig->edge_ok(e); }, &plan, nullptr); return std::move(plan.members); } @@ -421,89 +418,117 @@ Cost route_cost(const Graph& g, const PredDAG& route, NodeId src, std::span roots, std::span dsts, const PredDAG& route, - std::span creation_view, Cost* cost) { - check_kernel(placement, admission, priority); +KernelPlan plan_of(const Graph& g, FlowPlacement placement, Admission admission, const WeightSource& weights, + std::span roots, std::span dsts, const PredDAG& route, Cost* cost) { + check_kernel(placement, admission); const auto edges = PredDAGBuilder::ascending(route); - const bool by_view = placement == FlowPlacement::Weighted && priority == EdgePriority::Residual; - if (by_view && creation_view.size() != edges.size()) { + const bool weighted = placement == FlowPlacement::Weighted; + const bool by_view = weighted && weights.basis == WeightBasis::ResidualSnapshot; + if (by_view && weights.values.size() != edges.size()) { throw std::logic_error("make_plan: the creation view is not route-aligned"); } + if (weighted && weights.basis == WeightBasis::Explicit && + weights.values.size() != static_cast(g.num_edges())) { + throw std::logic_error("make_plan: the explicit weights are not edge-aligned"); + } const auto capacity = g.capacity_units(); KernelPlan plan; plan.placement = placement; plan.admission = admission; plan.route.assign(edges.begin(), edges.end()); - // The creation view of a route edge (the route ascends: a binary search). - auto creation = [&](EdgeId e) { - return creation_view[static_cast(std::lower_bound(edges.begin(), edges.end(), e) - edges.begin())]; + // A route edge's Weighted weight: its static capacity, its explicit weight (0 on an edge of + // capacity 0) or its creation view (the route ascends: a binary search). + auto weight = [&](EdgeId e) -> Amount { + const auto ei = static_cast(e); + switch (weights.basis) { + case WeightBasis::Capacity: return capacity[ei]; + case WeightBasis::Explicit: return capacity[ei] >= 1 ? weights.values[ei] : 0; + case WeightBasis::ResidualSnapshot: + return weights.values[static_cast(std::lower_bound(edges.begin(), edges.end(), e) - edges.begin())]; + } + return 0; }; // Membership: MaxFlow and EqualBalanced every route edge (an edge of capacity 0 is a member - // that carries nothing), Weighted the edges of positive weight: creation view >= 1 unit - // (Residual) or static capacity >= 1 unit (Capacity). - auto member = [&](EdgeId e) { - if (placement != FlowPlacement::Weighted) return true; - return (by_view ? creation(e) : capacity[static_cast(e)]) >= 1; - }; + // that carries nothing), Weighted the edges of positive weight. + auto member = [&](EdgeId e) { return !weighted || weight(e) >= 1; }; build_split(g, route, roots, dsts, member, &plan, cost); // The route's cost is the members' only when every route edge is a member. if (cost != nullptr && plan.members.size() != plan.route.size()) *cost = route_cost(g, route, roots[0], dsts); - if (placement == FlowPlacement::Weighted) { + if (weighted) { plan.weights.reserve(plan.members.size()); - for (EdgeId e : plan.members) plan.weights.push_back(by_view ? creation(e) : capacity[static_cast(e)]); + for (EdgeId e : plan.members) plan.weights.push_back(weight(e)); } return plan; } } // namespace -KernelPlan make_plan(const Graph& g, FlowPlacement placement, Admission admission, EdgePriority priority, - NodeId src, std::span dsts, const PredDAG& route, - std::span creation_view, Cost* cost) { - return plan_of(g, placement, admission, priority, {&src, 1}, dsts, route, creation_view, cost); +KernelPlan make_plan(const Graph& g, FlowPlacement placement, Admission admission, const WeightSource& weights, + NodeId src, std::span dsts, const PredDAG& route, Cost* cost) { + return plan_of(g, placement, admission, weights, {&src, 1}, dsts, route, cost); } -KernelPlan make_plan(const Graph& g, FlowPlacement placement, Admission admission, EdgePriority priority, - std::span roots, std::span dsts, const PredDAG& route, - std::span creation_view) { - return plan_of(g, placement, admission, priority, roots, dsts, route, creation_view, nullptr); +KernelPlan make_plan(const Graph& g, FlowPlacement placement, Admission admission, const WeightSource& weights, + std::span roots, std::span dsts, const PredDAG& route) { + return plan_of(g, placement, admission, weights, roots, dsts, route, nullptr); } -KernelPlan make_route_plan(const Graph& g, FlowPlacement placement, Admission admission, - EdgePriority priority, NodeId src, std::span dsts, const PredDAG& bundle, - const Eligibility* elig, Cost* cost) { - check_kernel(placement, admission, priority); +KernelPlan make_route_plan(const Graph& g, FlowPlacement placement, WeightBasis basis, std::span edge_values, + NodeId src, std::span dsts, const PredDAG& dag, Cost* cost) { + check_kernel(placement, Admission::Lossless); const auto capacity = g.capacity_units(); KernelPlan plan; plan.placement = placement; - plan.admission = admission; - auto allowed = [&](EdgeId e) { return elig == nullptr || elig->edge_ok(e); }; - build_split(g, bundle, {&src, 1}, dsts, allowed, &plan, cost); + plan.admission = Admission::Lossless; + build_split(g, dag, {&src, 1}, dsts, [](EdgeId) { return true; }, &plan, cost); plan.route = plan.members; - if (placement != FlowPlacement::Weighted || priority != EdgePriority::Capacity) return plan; - // Weighted with capacity weights: the members are the route edges of positive capacity, on - // the walks that remain, weighted by their capacities. When every route edge has a positive - // capacity they are the route itself; otherwise a second pass over the bundle keeps them (the - // route and its cost stay). - const bool all_positive = std::all_of(plan.route.begin(), plan.route.end(), - [&](EdgeId e) { return capacity[static_cast(e)] >= 1; }); - if (all_positive) { + if (placement != FlowPlacement::Weighted) return plan; + auto weight = [&](EdgeId e) -> Amount { + const auto ei = static_cast(e); + switch (basis) { + case WeightBasis::Capacity: return capacity[ei]; + case WeightBasis::Explicit: return capacity[ei] >= 1 ? edge_values[ei] : 0; + case WeightBasis::ResidualSnapshot: return edge_values[ei]; + } + return 0; + }; + // When every route edge has a positive weight the members are the route itself; otherwise a + // second pass keeps the walks over the positive ones (the route and its cost stay). + if (std::all_of(plan.route.begin(), plan.route.end(), [&](EdgeId e) { return weight(e) >= 1; })) { plan.weights.reserve(plan.members.size()); - for (EdgeId e : plan.members) plan.weights.push_back(capacity[static_cast(e)]); + for (EdgeId e : plan.members) plan.weights.push_back(weight(e)); return plan; } KernelPlan weighted; - build_split(g, bundle, {&src, 1}, dsts, - [&](EdgeId e) { return allowed(e) && capacity[static_cast(e)] >= 1; }, &weighted, nullptr); + build_split(g, dag, {&src, 1}, dsts, [&](EdgeId e) { return weight(e) >= 1; }, &weighted, nullptr); weighted.placement = placement; - weighted.admission = admission; + weighted.admission = Admission::Lossless; weighted.route = std::move(plan.route); weighted.weights.reserve(weighted.members.size()); - for (EdgeId e : weighted.members) weighted.weights.push_back(capacity[static_cast(e)]); + for (EdgeId e : weighted.members) weighted.weights.push_back(weight(e)); return weighted; } +KernelPlan restrict_plan(const Graph& g, const KernelPlan& plan, std::span roots, + std::span dsts, const Eligibility* elig) { + KernelPlan out; + out.placement = plan.placement; + out.admission = plan.admission; + const PredDAG members = PredDAGBuilder::of_edges(g, plan.members); + build_split(g, members, roots, dsts, [&](EdgeId e) { return elig == nullptr || elig->edge_ok(e); }, &out, nullptr); + out.route = plan.route; + if (plan.placement == FlowPlacement::Weighted) { + // The kept members' frozen weights (both member lists ascend). + out.weights.resize(out.members.size()); + std::size_t k = 0; + for (std::size_t m = 0; m < out.members.size(); ++m) { + while (plan.members[k] != out.members[m]) ++k; + out.weights[m] = plan.weights[k]; + } + } + return out; +} + // ---------------------------------------------------------------- CostOnly creation namespace { @@ -605,17 +630,22 @@ std::size_t lower_bound_from(std::span a, std::size_t hint, EdgeId std::optional cost_only_creation(const Graph& g, const std::shared_ptr& support, NodeId src, std::span dsts, const PathSelection& selection, PriorityFn view, - FlowPlacement placement, Admission admission) { - const EdgePriority priority = selection.priority; - if (!selection.multipath || (placement == FlowPlacement::Weighted && priority == EdgePriority::Residual)) { - return std::nullopt; - } - check_kernel(placement, admission, priority); + FlowPlacement placement, Admission admission, + const WeightSource& weights) { + const bool weighted = placement == FlowPlacement::Weighted; + if (!selection.multipath || (weighted && weights.basis == WeightBasis::ResidualSnapshot)) return std::nullopt; + check_kernel(placement, admission); + // A Weighted route edge's weight (static membership: Capacity or Explicit). + auto weight = [&](EdgeId e) -> Amount { + const auto ei = static_cast(e); + const Amount cap = g.capacity_units()[ei]; + if (weights.basis == WeightBasis::Explicit) return cap >= 1 ? weights.values[ei] : 0; + return cap; + }; const auto sup = PredDAGBuilder::ascending(*support); const auto row = g.row_offsets(); const auto edst = g.edge_dst(); const auto edge_cost = g.cost(); - const auto capacity = g.capacity_units(); CreationScratch& s = creation_scratch(); s.begin(static_cast(g.num_nodes())); for (NodeId d : dsts) s.touch(d).target = 1; @@ -679,7 +709,7 @@ std::optional cost_only_creation(const Graph& g, const std::sh if (replaces(g, sup[static_cast(j)], best, prefer, view)) best = sup[static_cast(j)]; } } - if (placement == FlowPlacement::Weighted && capacity[static_cast(best)] < 1) return std::nullopt; + if (weighted && weight(best) < 1) return std::nullopt; s.route[w] = best; s.tail[w] = static_cast(i); ++w; @@ -770,9 +800,9 @@ std::optional cost_only_creation(const Graph& g, const std::sh plan.admission = admission; plan.route.assign(route.begin(), route.end()); plan.members.assign(route.begin(), route.end()); - if (placement == FlowPlacement::Weighted) { + if (weighted) { plan.weights.resize(route.size()); - for (std::size_t k = 0; k < route.size(); ++k) plan.weights[k] = capacity[static_cast(route[k])]; + for (std::size_t k = 0; k < route.size(); ++k) plan.weights[k] = weight(route[k]); } const KernelPlan::Layout lay = plan.layout({&src, 1}, dsts, r, route.size()); lay.root_pos[0] = 0; // src comes first in the order @@ -1007,7 +1037,6 @@ TMax t_max(const KernelPlan& plan, std::span view_m) { LosslessStep lossless_step(const Graph& g, const KernelPlan& plan, Amount total, std::span view_m, std::span own_m, std::optional request) { - if (plan.admission != Admission::Lossless) throw std::logic_error("lossless_step on a Lossy plan"); LosslessStep out; if (plan.placement == FlowPlacement::MaxFlow) { // A fresh solve on the replacement view (own_m is part of view_m, so the flow's own diff --git a/src/pred_dag.cpp b/src/pred_dag.cpp index 1ed17da..73c438d 100644 --- a/src/pred_dag.cpp +++ b/src/pred_dag.cpp @@ -158,36 +158,41 @@ PredDAG PredDAGBuilder::of_edges(const Graph& g, std::span edges) out.num_nodes_ = g.num_nodes(); std::vector sorted(edges.begin(), edges.end()); if (!std::is_sorted(sorted.begin(), sorted.end())) std::sort(sorted.begin(), sorted.end()); - // Entries grouped by child (ascending NodeId), ascending via within a child: a small set by - // sorting (child, via) pairs, a larger one by a stable counting sort of the ascending edges by - // their child over an N + 1 temporary. - std::vector by_child(sorted.size()); + // The entries' via edges grouped by child (ascending NodeId), ascending within a child, built in + // place: a small set by sorting on (child, via), a larger one by a stable counting sort of the + // ascending edges by their child over an N + 1 temporary. + auto& via = out.via_; if (sorted.size() * 8 < static_cast(out.num_nodes_)) { std::vector> keyed(sorted.size()); for (std::size_t k = 0; k < sorted.size(); ++k) keyed[k] = {edge_dst[static_cast(sorted[k])], sorted[k]}; std::sort(keyed.begin(), keyed.end()); - for (std::size_t k = 0; k < keyed.size(); ++k) by_child[k] = keyed[k].second; + via.resize(keyed.size()); + for (std::size_t k = 0; k < keyed.size(); ++k) via[k] = keyed[k].second; } else { + via.resize(sorted.size()); std::vector slot(static_cast(out.num_nodes_) + 1, 0); for (EdgeId e : sorted) ++slot[static_cast(edge_dst[static_cast(e)]) + 1]; for (std::size_t v = 1; v < slot.size(); ++v) slot[v] += slot[v - 1]; - for (EdgeId e : sorted) { - by_child[static_cast(slot[static_cast(edge_dst[static_cast(e)])]++)] = e; - } + for (EdgeId e : sorted) via[static_cast(slot[static_cast(edge_dst[static_cast(e)])]++)] = e; + } + // The member nodes counted first, so their lists are sized once. + std::size_t members = 0; + for (std::size_t k = 0; k < via.size(); ++k) { + if (k == 0 || edge_dst[static_cast(via[k])] != edge_dst[static_cast(via[k - 1])]) ++members; } - out.parents_.resize(by_child.size()); - out.via_.resize(by_child.size()); - for (std::size_t k = 0; k < by_child.size(); ++k) { - const auto ei = static_cast(by_child[k]); + out.nodes_.reserve(members); + out.node_offsets_.reserve(members + 1); + out.parents_.resize(via.size()); + for (std::size_t k = 0; k < via.size(); ++k) { + const auto ei = static_cast(via[k]); const NodeId child = edge_dst[ei]; if (out.nodes_.empty() || out.nodes_.back() != child) { if (!out.nodes_.empty()) out.node_offsets_.push_back(static_cast(k)); out.nodes_.push_back(child); } out.parents_[k] = edge_src[ei]; - out.via_[k] = by_child[k]; } - if (!out.nodes_.empty()) out.node_offsets_.push_back(static_cast(by_child.size())); + if (!out.nodes_.empty()) out.node_offsets_.push_back(static_cast(via.size())); out.edges_ = std::move(sorted); return out; } diff --git a/src/program.cpp b/src/program.cpp new file mode 100644 index 0000000..2effabe --- /dev/null +++ b/src/program.cpp @@ -0,0 +1,425 @@ +/* + ForwardingProgram: the value, from_routes (8.2), the programs of the computing models and the + comparison of the change flags (10.4). + + Every program keeps its entries in ascending index, per roster slot its entries, its split + contexts (one plan each; a CostOnly program's is pooled over its roster) and its replay basis. + Nothing in a program changes after construction; policies share it by reference. +*/ +#include "netgraph/core/program.hpp" + +#include +#include +#include +#include + +#include "netgraph/core/detail/edge_amounts.hpp" +#include "netgraph/core/detail/endpoints.hpp" +#include "netgraph/core/detail/enum_domain.hpp" +#include "netgraph/core/detail/program_data.hpp" +#include "netgraph/core/detail/pred_dag_builder.hpp" + +namespace netgraph::core { + +ForwardingProgram::ForwardingProgram(const detail::ProgramData* data) noexcept : data_(data) {} +ForwardingProgram::~ForwardingProgram() = default; + +std::uint64_t ForwardingProgram::graph_uid() const noexcept { return data_->graph_uid; } +std::span ForwardingProgram::sources() const noexcept { return data_->sources; } +std::span ForwardingProgram::destinations() const noexcept { return data_->destinations; } +std::span ForwardingProgram::tunnels() const noexcept { return data_->tunnels; } +const std::optional>>& ForwardingProgram::source_weights() const noexcept { + return data_->source_weights; +} + +namespace detail { + +namespace { + +[[noreturn]] void invalid(const std::string& what) { throw std::invalid_argument(what); } + +std::string route_at(std::size_t i) { return "routes[" + std::to_string(i) + "]: "; } + +} // namespace + +void ProgramData::lay_out(std::span src, std::span dst, + std::optional> given, std::span xn, + std::span xe) { + const std::size_t n = entries.size(); + const std::size_t room = given.has_value() ? given->size() : n; // the roster's room + const std::size_t lists = pooled ? 0 : room + 2 + n; // slot_first (counting sort) + slot_entries + std::size_t roots = 0; + for (const auto& c : contexts) roots += c.plan->roots.size(); + // The block, in this order: sources, destinations, roster, excluded nodes and edges, the per-slot + // lists, the per-tunnel entries, the contexts' root entries. + std::vector store(src.size() + dst.size() + room + xn.size() + xe.size() + lists + tunnels.size() + + roots); + std::int32_t* at = store.data(); + auto put = [&at](auto list) { + std::int32_t* first = at; + at = std::copy(list.begin(), list.end(), at); + return first; + }; + NodeId* s0 = put(src); + NodeId* d0 = put(dst); + NodeId* r0 = at; + std::size_t k = 0; + if (given.has_value()) { + put(*given); + k = given->size(); + } else { + for (const auto& entry : entries) *at++ = entry.head; + std::sort(r0, at); + k = static_cast(std::unique(r0, at) - r0); + at = r0 + room; + } + NodeId* xn0 = put(xn); + EdgeId* xe0 = put(xe); + std::int32_t* first = at; + std::int32_t* order = first + (pooled ? 0 : room + 2); + std::int32_t* by_tunnel = first + lists; + const std::span ros(r0, k); + for (auto& entry : entries) { + entry.slot = static_cast(std::lower_bound(ros.begin(), ros.end(), entry.head) - ros.begin()); + } + if (pooled) { + // A pooled program's slots carry one entry each (entries_of): no lists, local index 0. + for (auto& entry : entries) entry.local_index = 0; + } else { + // A stable counting sort by slot: counted at slot + 2, summed, placed through slot + 1 (which + // then holds the slot's end, the next slot's start); ascending index within a slot. + for (const auto& entry : entries) ++first[static_cast(entry.slot) + 2]; + for (std::size_t x = 2; x < k + 2; ++x) first[x] += first[x - 1]; + for (std::size_t e = 0; e < n; ++e) order[first[static_cast(entries[e].slot) + 1]++] = static_cast(e); + for (std::size_t x = 0; x < k; ++x) { + for (auto j = first[x]; j < first[x + 1]; ++j) { + auto& entry = entries[static_cast(order[j])]; + entry.local_index = j - first[x]; + if (entry.tunnel >= 0) tunnels[static_cast(entry.tunnel)].local_index = entry.local_index; + } + } + } + std::fill(by_tunnel, by_tunnel + tunnels.size() + roots, -1); + for (std::size_t e = 0; e < n; ++e) { + if (entries[e].tunnel >= 0) by_tunnel[entries[e].tunnel] = static_cast(e); + } + // Each context's root entries: the entry of that context whose head is the root (a CostOnly + // plan's roots are its roster, each with its entry; a supplied split route's is its head). + std::int32_t* root0 = by_tunnel + tunnels.size(); + for (std::size_t c = 0, at_root = 0; c < contexts.size(); ++c) { + contexts[c].root_entry = {root0 + at_root, contexts[c].plan->roots.size()}; + at_root += contexts[c].plan->roots.size(); + } + for (std::size_t e = 0; e < n; ++e) { + const auto c = entries[e].context; + if (c < 0) continue; + const auto& ctx = contexts[static_cast(c)]; + const auto& plan_roots = ctx.plan->roots; + const auto r = std::lower_bound(plan_roots.begin(), plan_roots.end(), entries[e].head) - plan_roots.begin(); + root0[(ctx.root_entry.data() - root0) + r] = static_cast(e); + } + // The views, into the block now owned (a vector's move keeps its elements where they are). + store_ = std::move(store); + sources = {s0, src.size()}; + destinations = {d0, dst.size()}; + roster = ros; + excluded_nodes = {xn0, xn.size()}; + excluded_edges = {xe0, xe.size()}; + slot_first = pooled ? std::span {} : std::span(first, k + 1); + slot_entries = pooled ? std::span {} : std::span(order, n); + tunnel_entry = {by_tunnel, tunnels.size()}; +} + +std::shared_ptr ProgramAccess::make(ProgramData&& data) { + auto block = std::make_shared(std::move(data)); + return {block, &block->program}; +} + +void check_route_options(bool any_dag, std::optional placement, std::optional weights, + bool edge_weights, bool residual) { + if (!any_dag) { + if (placement.has_value()) invalid("placement applies only to PredDAG routes"); + if (weights.has_value()) invalid("weights applies only to PredDAG routes"); + if (edge_weights) invalid("edge_weights applies only to PredDAG routes"); + if (residual) invalid("residual applies only to PredDAG routes"); + return; + } + if (placement.has_value()) check_member(*placement, "placement"); + if (weights.has_value()) check_member(*weights, "weights"); + if (placement == FlowPlacement::MaxFlow) invalid("from_routes placement must be EQUAL_BALANCED or WEIGHTED"); + const bool weighted = placement == FlowPlacement::Weighted; + if (weights.has_value() && !weighted) invalid("weights require placement=WEIGHTED"); + if (weights == WeightBasis::Explicit && !edge_weights) invalid("weights=EXPLICIT requires edge_weights"); + if (edge_weights && weights != WeightBasis::Explicit) invalid("edge_weights require weights=EXPLICIT"); + if (weights == WeightBasis::ResidualSnapshot && !residual) invalid("weights=RESIDUAL_SNAPSHOT requires residual"); + if (residual && weights != WeightBasis::ResidualSnapshot) invalid("residual requires weights=RESIDUAL_SNAPSHOT"); +} + +// ---------------------------------------------------------------- the models' programs + +std::shared_ptr controller_program( + const Graph& g, std::span sources, std::span destinations, + std::span roster, std::vector paths, std::span supplies, + ControllerBasis basis) { + ProgramData data; + ProgramData* p = &data; + p->graph_uid = g.uid(); + if (!supplies.empty()) { + p->head_weight.assign(supplies.begin(), supplies.end()); + p->source_weights.emplace(); + p->source_weights->reserve(roster.size()); + for (std::size_t i = 0; i < roster.size(); ++i) p->source_weights->emplace_back(roster[i], supplies[i]); + } + const auto cost = g.cost(); + const auto edge_dst = g.edge_dst(); + p->tunnels.reserve(paths.size()); + p->entries.reserve(paths.size()); + for (std::size_t i = 0; i < paths.size(); ++i) { + auto& path = paths[i]; + Tunnel t; + t.index = static_cast(i); + t.head = roster[static_cast(path.slot)]; + t.destination = edge_dst[static_cast(path.edges.back())]; + t.route_cost = 0; + for (EdgeId e : path.edges) t.route_cost += cost[static_cast(e)]; + t.weight = path.amount; + ProgramEntry entry; + entry.index = t.index; + entry.head = t.head; + entry.slot = path.slot; + entry.weight = path.amount; + entry.tunnel = static_cast(i); + entry.cost = t.route_cost; + t.edges = std::move(path.edges); + p->tunnels.push_back(std::move(t)); + p->entries.push_back(std::move(entry)); + } + p->topology = basis.topology; + p->slot_routes = std::move(basis.per_source); + p->common_basis = std::move(basis.common); + p->lay_out(sources, destinations, roster, basis.excluded_nodes, basis.excluded_edges); + return ProgramAccess::make(std::move(data)); +} + +std::shared_ptr cost_only_program( + const Graph& g, std::span sources, std::span destinations, + std::span roster, std::shared_ptr plan, std::vector entries) { + ProgramData data; + ProgramData* p = &data; + p->graph_uid = g.uid(); + SplitContext ctx; + ctx.plan = std::move(plan); + p->entries = std::move(entries); + for (std::size_t i = 0; i < roster.size(); ++i) { + auto& entry = p->entries[i]; + entry.index = static_cast(i); + entry.head = roster[i]; + entry.slot = static_cast(i); + entry.weight = 1; + entry.context = 0; + } + p->contexts.push_back(std::move(ctx)); + p->pooled = true; + p->lay_out(sources, destinations, roster); + return ProgramAccess::make(std::move(data)); +} + +std::shared_ptr empty_program(std::uint64_t graph_uid, std::span sources, + std::span destinations, bool captured) { + ProgramData data; + ProgramData* p = &data; + p->graph_uid = graph_uid; + if (captured) p->source_weights.emplace(); + p->lay_out(sources, destinations, std::span {}); + return ProgramAccess::make(std::move(data)); +} + +// ---------------------------------------------------------------- the change flags + +namespace { + +bool same_plan_structure(const KernelPlan& a, const KernelPlan& b) noexcept { + return a.placement == b.placement && a.members == b.members && std::equal(a.roots.begin(), a.roots.end(), b.roots.begin(), b.roots.end()); +} + +} // namespace + +void ProgramData::basis_parts(std::size_t slot, std::vector, bool>>& out) const { + if (common_basis) { + out.emplace_back(*common_basis, true); + return; + } + if (!slot_routes.empty()) { + out.emplace_back(PredDAGBuilder::ascending(*slot_routes[slot]), true); + return; + } + for (std::int32_t e : entries_of(slot)) { + const auto& entry = entries[static_cast(e)]; + if (entry.tunnel >= 0) { + out.emplace_back(tunnels[static_cast(entry.tunnel)].edges, false); + } else { + out.emplace_back(PredDAGBuilder::ascending(*entry.bundle), true); + } + } +} + +ProgramChange compare_programs(const ForwardingProgram* before, const ForwardingProgram* after) noexcept { + static const ProgramData kNone {}; + const ProgramData& a = before != nullptr ? ProgramAccess::data(*before) : kNone; + const ProgramData& b = after != nullptr ? ProgramAccess::data(*after) : kNone; + if (a.entries.empty() && b.entries.empty()) return {}; + ProgramChange out; + // Routes: the ordered heads, each entry's kind and route (a tunnel's path, a split route's + // context), duplicates included (entries are compared one by one). + out.routes = !std::ranges::equal(a.roster, b.roster) || a.entries.size() != b.entries.size() || + a.contexts.size() != b.contexts.size(); + for (std::size_t i = 0; !out.routes && i < a.entries.size(); ++i) { + const auto& x = a.entries[i]; + const auto& y = b.entries[i]; + if (x.index != y.index || x.head != y.head || (x.tunnel < 0) != (y.tunnel < 0)) { + out.routes = true; + } else if (x.tunnel >= 0) { + out.routes = a.tunnels[static_cast(x.tunnel)].edges != b.tunnels[static_cast(y.tunnel)].edges; + } else { + out.routes = x.context != y.context; + } + } + for (std::size_t c = 0; !out.routes && c < a.contexts.size(); ++c) { + out.routes = !same_plan_structure(*a.contexts[c].plan, *b.contexts[c].plan); + } + // Weights: the injection (equal or the captured weights) and every entry and split-table weight. + out.weights = a.source_weights.has_value() != b.source_weights.has_value() || a.head_weight != b.head_weight || + a.entries.size() != b.entries.size() || a.contexts.size() != b.contexts.size(); + for (std::size_t i = 0; !out.weights && i < a.entries.size(); ++i) out.weights = a.entries[i].weight != b.entries[i].weight; + for (std::size_t c = 0; !out.weights && c < a.contexts.size(); ++c) { + out.weights = a.contexts[c].plan->weights != b.contexts[c].plan->weights; + } + return out; +} + +} // namespace detail + +// ---------------------------------------------------------------- from_routes + +std::shared_ptr ForwardingProgram::from_routes(const Graph& g, std::span sources, + std::span destinations, + std::span routes, + const RouteOptions& options) { + using detail::invalid; + using detail::route_at; + // 1. The endpoint sets. + auto src = detail::node_set(sources, g.num_nodes(), "sources"); + auto dst = detail::node_set(destinations, g.num_nodes(), "destinations"); + detail::check_disjoint(src, dst, "sources", "destinations"); + // 2. The list. + if (routes.empty()) invalid("routes must not be empty"); + // 3 to 5. The options. + bool any_dag = false; + for (const auto& r : routes) any_dag = any_dag || std::holds_alternative>(r.bundle); + detail::check_route_options(any_dag, options.placement, options.weights, options.edge_weights.has_value(), + options.residual.has_value()); + // 6. The vectors' lengths and entries. + const auto E = static_cast(g.num_edges()); + if (options.edge_weights.has_value()) { + const auto& w = *options.edge_weights; + if (w.size() != E) invalid("edge_weights: expected " + std::to_string(E) + " entries"); + for (std::size_t e = 0; e < E; ++e) { + if (w[e] < 0 || w[e] >= kDomainLimit) invalid("edge_weights[" + std::to_string(e) + "] must be an integer in [0, 2^62)"); + } + } + if (options.residual.has_value()) detail::check_edge_amounts(g, *options.residual, "residual"); + // 7. Each route in list order, its entry made as soon as it is checked (a later route's failure + // discards the program being made). The roster is the sources with a route. + const auto edge_dst = g.edge_dst(); + const FlowPlacement placement = options.placement.value_or(FlowPlacement::EqualBalanced); + const WeightBasis basis = options.weights.value_or(WeightBasis::Capacity); + // Weighted reads its weights per edge: the explicit weights or the residual snapshot. + std::span edge_values; + if (placement == FlowPlacement::Weighted && basis == WeightBasis::Explicit) edge_values = *options.edge_weights; + if (placement == FlowPlacement::Weighted && basis == WeightBasis::ResidualSnapshot) edge_values = *options.residual; + detail::ProgramData data; + detail::ProgramData* p = &data; + p->graph_uid = g.uid(); + std::size_t num_dags = 0; + for (const auto& r : routes) num_dags += std::holds_alternative>(r.bundle) ? 1 : 0; + p->entries.reserve(routes.size()); + p->contexts.reserve(num_dags); + p->tunnels.reserve(routes.size() - num_dags); + // The destination flags, made for the first Path (a tunnel's end and its earlier hops). + std::vector is_dst; + for (std::size_t i = 0; i < routes.size(); ++i) { + const auto& r = routes[i]; + const auto* path = std::get_if>(&r.bundle); + const auto* dag = std::get_if>(&r.bundle); + if ((path != nullptr && !*path) || (dag != nullptr && !*dag)) invalid(route_at(i) + "bundle is null"); + const std::uint64_t uid = path != nullptr ? (*path)->graph_uid() : (*dag)->graph_uid(); + if (uid != g.uid()) invalid(route_at(i) + "bundle belongs to another graph"); + if (!std::binary_search(src.begin(), src.end(), r.head)) { + invalid(route_at(i) + "head " + std::to_string(r.head) + " is not a source"); + } + detail::ProgramEntry entry; + entry.index = static_cast(i); + entry.head = r.head; + entry.weight = r.weight; + if (path != nullptr) { + if (is_dst.empty()) { + is_dst.assign(static_cast(g.num_nodes()), 0); + for (NodeId d : dst) is_dst[static_cast(d)] = 1; + } + const auto& hops = (*path)->hops(); + for (const auto& hop : hops) { + if (hop.size() != 1) invalid(route_at(i) + "a tunnel has one edge per hop"); + } + if ((*path)->src() != r.head) { + invalid(route_at(i) + "the path starts at " + std::to_string((*path)->src()) + ", not at head " + std::to_string(r.head)); + } + if (is_dst[static_cast((*path)->dst())] == 0) { + invalid(route_at(i) + "the path ends at " + std::to_string((*path)->dst()) + ", not at a destination"); + } + for (std::size_t h = 0; h + 1 < hops.size(); ++h) { + const NodeId v = edge_dst[static_cast(hops[h].front())]; + if (is_dst[static_cast(v)] != 0) { + invalid(route_at(i) + "the path meets destination " + std::to_string(v) + " before its end"); + } + } + if (r.weight < 0 || r.weight >= kDomainLimit) invalid(route_at(i) + "weight must be an integer in [0, 2^62)"); + Tunnel t; + t.index = entry.index; + t.head = r.head; + t.destination = (*path)->dst(); + t.route_cost = (*path)->cost(); + t.weight = r.weight; + t.edges.reserve(hops.size()); + for (const auto& hop : hops) t.edges.push_back(hop.front()); + entry.tunnel = static_cast(p->tunnels.size()); + entry.cost = t.route_cost; + p->tunnels.push_back(std::move(t)); + } else { + // The plan in one pass: its route (the DAG's edges on the walks from the head to a + // destination, before any weight pruning: the walk check) and the route's cost. + Cost cost = kUnreachable; + auto plan = detail::make_route_plan(g, placement, basis, edge_values, r.head, dst, **dag, &cost); + if (plan.route.empty()) invalid(route_at(i) + "no walk from head " + std::to_string(r.head) + " to a destination"); + if (r.weight < 0 || r.weight >= kDomainLimit) invalid(route_at(i) + "weight must be an integer in [0, 2^62)"); + // Its own split context; the record bundle is the supplied DAG itself when nothing was + // pruned (shared, never copied). + const auto route_dag = plan.route.size() == detail::PredDAGBuilder::ascending(**dag).size() + ? *dag + : std::make_shared(detail::PredDAGBuilder::of_edges(g, plan.route)); + detail::SplitContext ctx; + ctx.plan = std::make_shared(std::move(plan)); + entry.context = static_cast(p->contexts.size()); + entry.bundle = route_dag; + entry.cost = cost; + p->contexts.push_back(std::move(ctx)); + } + p->entries.push_back(std::move(entry)); + } + // One split route of positive weight forwards in its pooled form (its plan's kernels). The + // roster: the heads with a route. + p->pooled = p->entries.size() == 1 && p->tunnels.empty() && p->entries.front().weight > 0; + p->lay_out(src, dst, std::nullopt); + return detail::ProgramAccess::make(std::move(data)); +} + +} // namespace netgraph::core diff --git a/tests/cpp/cost_only_creation_tests.cpp b/tests/cpp/cost_only_creation_tests.cpp index 8c74c11..9f15c45 100644 --- a/tests/cpp/cost_only_creation_tests.cpp +++ b/tests/cpp/cost_only_creation_tests.cpp @@ -43,8 +43,9 @@ void expect_same_plan(const KernelPlan& got, const KernelPlan& want, const std:: EXPECT_EQ(plan_differences(got, want), std::vector {}) << where; } -// The policy's general CostOnly creation (flow_policy.cpp: cost_only_route, bundle_of, new_flow's -// plan_on), taken wherever the one pass declines; where the one pass answers, it must equal this. +// The policy's general CostOnly creation (flow_policy.cpp: cost_only_route, bundle_of and the +// plan on the route, capacity weights), taken wherever the one pass declines; where the one pass +// answers, it must equal this. struct GeneralPath { std::vector route; std::shared_ptr bundle; @@ -60,13 +61,9 @@ GeneralPath general_path(const Graph& g, const std::shared_ptr& s out.route = r.edges; Cost cost = !sel.multipath && !r.edges.empty() ? r.cost : kUnreachable; out.bundle = PredDAGBuilder::ascending(*support).size() == r.edges.size() ? support : dag_of(g, r.edges); - std::vector creation; - if (placement == FlowPlacement::Weighted && sel.priority == EdgePriority::Residual) { - for (EdgeId e : PredDAGBuilder::ascending(*out.bundle)) creation.push_back(W[static_cast(e)]); - } + (void)W; const bool computed = cost == kUnreachable; - out.plan = make_plan(g, placement, admission, sel.priority, src, dsts, *out.bundle, creation, - computed ? &cost : nullptr); + out.plan = make_plan(g, placement, admission, WeightSource {}, src, dsts, *out.bundle, computed ? &cost : nullptr); out.cost = cost; return out; } @@ -157,7 +154,6 @@ Tally compare_with_general_path(std::mt19937& rng, int trials, Cost factor) { const PriorityValues values {&g, sel.priority, W}; const PriorityFn view = PriorityFn::of(values); for (const auto& k : kKernels) { - if (k.placement == FlowPlacement::Weighted && sel.priority == EdgePriority::Headroom) continue; const std::string where = "factor " + std::to_string(factor) + " trial " + std::to_string(trial) + " src " + std::to_string(src) + " kernel " + std::to_string(static_cast(k.placement)) + "/" + std::to_string(static_cast(k.admission)) + " sel " + @@ -165,12 +161,13 @@ Tally compare_with_general_path(std::mt19937& rng, int trials, Cost factor) { std::to_string(static_cast(sel.priority)) + std::to_string(sel.multipath) + std::to_string(sel.multi_edge); const auto want = general_path(g, support, src, dsts, sel, view, W, k.placement, k.admission); - const auto got = cost_only_creation(g, support, src, dsts, sel, view, k.placement, k.admission); + const auto got = cost_only_creation(g, support, src, dsts, sel, view, k.placement, k.admission, WeightSource {}); // It answers exactly where the general path's members are its whole multipath route under a // kernel of static membership (on a valid support: every route that exists, except a // Weighted route with an edge of capacity 0, which has weight 0 and is no member). - const bool qualifies = - sel.multipath && !(k.placement == FlowPlacement::Weighted && sel.priority == EdgePriority::Residual); + // Capacity weights (CostOnly's default basis) are static whatever the priority: every + // multipath selection qualifies. + const bool qualifies = sel.multipath; const bool applies = qualifies && !want.route.empty() && want.plan.members == want.route; EXPECT_EQ(got.has_value(), applies) << where; if (got.has_value() != applies) return t; @@ -300,7 +297,7 @@ TEST(CostOnlyCreation, ChainCostsBeyondInt32AreExact) { std::to_string(static_cast(k.admission)) + " multi_edge " + std::to_string(me); const auto want = general_path(g, support, 0, dsts, sel, PriorityFn::of(values), W, k.placement, k.admission); const auto got = - cost_only_creation(g, support, 0, dsts, sel, PriorityFn::of(values), k.placement, k.admission); + cost_only_creation(g, support, 0, dsts, sel, PriorityFn::of(values), k.placement, k.admission, WeightSource {}); ASSERT_TRUE(got.has_value()) << where; EXPECT_EQ(want.cost, c.cost) << where; EXPECT_EQ(got->cost, c.cost) << where; @@ -357,7 +354,7 @@ TEST(CostOnlyCreation, LargerGraphsEqualTheGeneralPath) { const auto want = general_path(g, support, src, dsts, sel, PriorityFn::of(values), W, placement, Admission::Lossless); const auto got = cost_only_creation(g, support, src, dsts, sel, PriorityFn::of(values), placement, - Admission::Lossless); + Admission::Lossless, WeightSource {}); ASSERT_EQ(got.has_value(), !want.route.empty()); if (!got) continue; EXPECT_TRUE(*got->bundle == *want.bundle); @@ -408,7 +405,7 @@ TEST(CostOnlyCreation, CraftedSupportsGiveNothingOrTheGeneralPath) { for (const auto& k : kKernels) { const auto want = general_path(g, support, src, dsts, sel, PriorityFn::of(values), W, k.placement, k.admission); const auto got = - cost_only_creation(g, support, src, dsts, sel, PriorityFn::of(values), k.placement, k.admission); + cost_only_creation(g, support, src, dsts, sel, PriorityFn::of(values), k.placement, k.admission, WeightSource {}); const std::string where = "trial " + std::to_string(trial); if (!got.has_value()) { ++declined; @@ -446,7 +443,7 @@ TEST(CostOnlyCreation, DeclinesEachBrokenPrecondition) { std::sort(edges.begin(), edges.end()); const auto support = dag_of(g, edges); return std::make_pair(support, cost_only_creation(g, support, 0, dsts, sel, PriorityFn::of(values), placement, - Admission::Lossless)); + Admission::Lossless, WeightSource {})); }; { const auto [support, got] = run({0, 1, 2, 3}, FlowPlacement::EqualBalanced); @@ -472,21 +469,21 @@ TEST(CostOnlyCreation, DeclinesEachBrokenPrecondition) { Admission::Lossless), std::logic_error); } - // Not applicable: multipath = false, Weighted with Residual priority, no destination reached. + // Not applicable: multipath = false, Weighted with residual-snapshot weights, no destination reached. { std::vector edges = {inv[0], inv[1], inv[2], inv[3]}; std::sort(edges.begin(), edges.end()); const auto support = dag_of(g, edges); const PathSelection single(EdgeTieBreak::Deterministic, EdgePriority::Capacity, false, true); EXPECT_FALSE(cost_only_creation(g, support, 0, dsts, single, PriorityFn::of(values), FlowPlacement::EqualBalanced, - Admission::Lossless) + Admission::Lossless, WeightSource {}) .has_value()); const PathSelection residual(EdgeTieBreak::Deterministic, EdgePriority::Residual, true, true); EXPECT_FALSE(cost_only_creation(g, support, 0, dsts, residual, PriorityFn::of(values), FlowPlacement::Weighted, - Admission::Lossless) + Admission::Lossless, WeightSource {WeightBasis::ResidualSnapshot, {}}) .has_value()); EXPECT_FALSE(cost_only_creation(g, support, 0, std::vector {5}, sel, PriorityFn::of(values), - FlowPlacement::EqualBalanced, Admission::Lossless) + FlowPlacement::EqualBalanced, Admission::Lossless, WeightSource {}) .has_value()); } } @@ -496,7 +493,7 @@ TEST(KernelPlanBlock, CopiesAndMovesKeepTheirOwnViews) { const auto dag = PredDAGBuilder::of_edges(g, all_ids(g)); const std::vector dsts = {3}; const KernelPlan original = - make_plan(g, FlowPlacement::Weighted, Admission::Lossless, EdgePriority::Capacity, 0, dsts, dag, {}); + make_plan(g, FlowPlacement::Weighted, Admission::Lossless, WeightSource {}, 0, dsts, dag); ASSERT_EQ(original.topo.size(), 4U); ASSERT_EQ(original.head_pos.size(), 4U); ASSERT_EQ(vec(original.dsts), dsts); @@ -522,8 +519,7 @@ TEST(KernelPlanBlock, CopiesAndMovesKeepTheirOwnViews) { assigned = copy; expect_same_plan(assigned, original, "copy assignment"); EXPECT_TRUE(own_block(assigned, copy)); - KernelPlan target = make_plan(g, FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Capacity, 1, dsts, - dag, {}); + KernelPlan target = make_plan(g, FlowPlacement::EqualBalanced, Admission::Lossless, WeightSource {}, 1, dsts, dag); target = std::move(moved); expect_same_plan(target, original, "move assignment"); EXPECT_TRUE(moved.topo.empty() && moved.dsts.empty() && moved.head_pos.empty() && moved.terminal.empty() && @@ -548,8 +544,8 @@ TEST(KernelPlanBlock, ACopyOutlivesItsSource) { auto chain = [&](NodeId src, NodeId dst) { const std::vector edges = src == 0 ? std::vector {0, 1} : std::vector {2, 3}; const auto dag = PredDAGBuilder::of_edges(g, edges); - return make_plan(g, FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Capacity, src, - std::vector {dst}, dag, {}); + return make_plan(g, FlowPlacement::EqualBalanced, Admission::Lossless, WeightSource {}, src, + std::vector {dst}, dag); }; for (const bool assign : {false, true}) { std::optional owner(chain(0, 2)); @@ -581,7 +577,7 @@ TEST(TestHelpers, PlanDifferencesNameEveryField) { const auto dag = PredDAGBuilder::of_edges(g, all_ids(g)); const std::vector dsts = {3}; const KernelPlan plan = - make_plan(g, FlowPlacement::Weighted, Admission::Lossless, EdgePriority::Capacity, 0, dsts, dag, {}); + make_plan(g, FlowPlacement::Weighted, Admission::Lossless, WeightSource {}, 0, dsts, dag); ASSERT_EQ(plan.weights.size(), 4U); EXPECT_EQ(plan_differences(plan, plan), std::vector {}); // The views' changed copies live here, as the plan's own views live in its block. diff --git a/tests/cpp/flow_ledger_fault_tests.cpp b/tests/cpp/flow_ledger_fault_tests.cpp index a7927ad..f09c66c 100644 --- a/tests/cpp/flow_ledger_fault_tests.cpp +++ b/tests/cpp/flow_ledger_fault_tests.cpp @@ -33,7 +33,7 @@ #include "netgraph/core/detail/pred_dag_builder.hpp" #include "netgraph/core/flow_ledger.hpp" #include "fault_injection.hpp" -#include "pinned_one.hpp" +#include "route_policy.hpp" #include "test_utils.hpp" using namespace netgraph::core; @@ -42,20 +42,28 @@ using detail::LedgerAccess; namespace { +// The policies on one route the sweeps run: Global with the route as its support, and Pinned over +// the route as a supplied split route under each kernel, weight basis and admission. struct Kernel { - FlowPlacement placement; + std::string name; Admission admission; - EdgePriority priority; + std::function)> config; }; const std::vector& kernels() { + using D = std::shared_ptr; + auto split = [](FlowPlacement placement, Admission admission, WeightBasis weights) { + return [=](const FlowLedger& fg, NodeId s, NodeId d, D dag) { + return split_route(fg, s, d, std::move(dag), placement, admission, weights); + }; + }; static const std::vector all = { - {FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual}, - {FlowPlacement::Weighted, Admission::Lossless, EdgePriority::Residual}, - {FlowPlacement::Weighted, Admission::Lossless, EdgePriority::Capacity}, - {FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual}, - {FlowPlacement::EqualBalanced, Admission::Lossy, EdgePriority::Residual}, - {FlowPlacement::Weighted, Admission::Lossy, EdgePriority::Capacity}, + {"global support", Admission::Lossless, [](const FlowLedger&, NodeId, NodeId, D dag) { return on_support(std::move(dag)); }}, + {"weighted snapshot", Admission::Lossless, split(FlowPlacement::Weighted, Admission::Lossless, WeightBasis::ResidualSnapshot)}, + {"weighted capacity", Admission::Lossless, split(FlowPlacement::Weighted, Admission::Lossless, WeightBasis::Capacity)}, + {"equal balanced", Admission::Lossless, split(FlowPlacement::EqualBalanced, Admission::Lossless, WeightBasis::Capacity)}, + {"equal balanced lossy", Admission::Lossy, split(FlowPlacement::EqualBalanced, Admission::Lossy, WeightBasis::Capacity)}, + {"weighted capacity lossy", Admission::Lossy, split(FlowPlacement::Weighted, Admission::Lossy, WeightBasis::Capacity)}, }; return all; } @@ -206,8 +214,16 @@ TEST(LedgerFaults, TheSweepComparatorsCompareEveryField) { [](auto& x) { x.infinite = !x.infinite; }, [](auto& x) { x.prepared = !x.prepared; }, [](auto& x) { ++x.placed; }, - [](auto& x) { x.curve.emplace_back(9, 1); }, - [](auto& x) { x.program.push_back(0); }, + [](auto& x) { + if (!x.curve) x.curve.emplace(); + x.curve->emplace_back(9, 1); + }, + [](auto& x) { x.program.present = !x.program.present; }, + [](auto& x) { x.program.tunnels.emplace_back(); }, + [](auto& x) { x.program.members.emplace_back(); }, + [](auto& x) { x.support.push_back(0); }, + [](auto& x) { x.head_lost.emplace_back(); }, + [](auto& x) { x.by_tunnel.emplace_back(); }, [](auto& x) { x.cohorts.emplace_back(); }, [](auto& x) { ++x.cohorts[0][0].id; }, [](auto& x) { ++x.cohorts[0][0].cost; }, @@ -313,19 +329,18 @@ TEST(LedgerFaults, EveryAllocationOfAPlacementFailsAtomically) { const auto dag = all_edges(*c.g); for (const auto& k : kernels()) { for (const auto& sc : scenarios()) { - const std::string where = c.name + " kernel " + std::to_string(static_cast(k.placement)) + "/" + - std::to_string(static_cast(k.admission)) + "/" + - std::to_string(static_cast(k.priority)) + " " + sc.name; + // A Lossy program forwarding needs a finite offer (no first-hop experiment). + if (k.admission == Admission::Lossy && !sc.call.has_value()) continue; + const std::string where = c.name + " " + k.name + " " + sc.name; // A third party's 1-unit EqualBalanced placement on the same bundle, then the policy's // earlier calls. const auto setup = [&](FlowLedger& fg) { - auto third = std::make_shared(fg, c.src, c.dst, dag, FlowPlacement::EqualBalanced, - Admission::Lossless, EdgePriority::Residual); + auto third = std::make_shared(fg, c.src, c.dst, split_route(fg, c.src, c.dst, dag, FlowPlacement::EqualBalanced, Admission::Lossless)); (void)third->place(1); - auto p = std::make_shared(fg, c.src, c.dst, dag, k.placement, k.admission, k.priority); + auto p = std::make_shared(fg, c.src, c.dst, k.config(fg, c.src, c.dst, dag)); for (auto v : sc.before) (void)p->place(v); FlowPolicy* policy = &p->policy(); - return Staged {std::make_shared, std::shared_ptr>>( + return Staged {std::make_shared, std::shared_ptr>>( std::move(third), std::move(p)), policy}; }; @@ -347,21 +362,20 @@ TEST(LedgerFaults, PolicyConstructionFailsWithoutBinding) { for (const auto& k : kernels()) { { FlowLedger warm(c.g); - (void)PinnedOne(warm, c.src, c.dst, dag, k.placement, k.admission, k.priority).place(1); + (void)RoutePolicy(warm, c.src, c.dst, k.config(warm, c.src, c.dst, dag)).place(1); } long injected = 0; for (long at = 0;; ++at) { const std::string w = c.name + " construction allocation " + std::to_string(at); FlowLedger fg(c.g); { - PinnedOne other(fg, c.src, c.dst, dag, FlowPlacement::EqualBalanced, Admission::Lossless, - EdgePriority::Residual); + RoutePolicy other(fg, c.src, c.dst, split_route(fg, c.src, c.dst, dag, FlowPlacement::EqualBalanced, Admission::Lossless)); (void)other.place(1); } // an orphan const LedgerState before = ledger_state(fg); - std::optional p; + std::optional p; const long live = g_live.load(); - if (!fails_at(at, [&] { p.emplace(fg, c.src, c.dst, dag, k.placement, k.admission, k.priority); })) { + if (!fails_at(at, [&] { p.emplace(fg, c.src, c.dst, k.config(fg, c.src, c.dst, dag)); })) { EXPECT_EQ(LedgerAccess::bound_owners(fg).size(), 1U); break; } @@ -385,8 +399,7 @@ TEST(LedgerFaults, EveryAllocationOfAResetFailsAtomically) { const auto with_orphan = [&] { auto fg = std::make_unique(c.g); // The policy is destroyed without remove(): its record is an orphan. - (void)PinnedOne(*fg, c.src, c.dst, dag, FlowPlacement::EqualBalanced, Admission::Lossless, - EdgePriority::Residual) + (void)RoutePolicy(*fg, c.src, c.dst, split_route(*fg, c.src, c.dst, dag, FlowPlacement::EqualBalanced, Admission::Lossless)) .place(2); return fg; }; @@ -493,10 +506,9 @@ TEST(LedgerFaults, EveryAllocationOfALedgerCopyOrMoveFailsWithoutALeak) { for (auto& x : half) x /= 2; FlowLedger fg(c.g, half); { - PinnedOne first(fg, c.src, c.dst, dag, FlowPlacement::EqualBalanced, Admission::Lossless, - EdgePriority::Residual); + RoutePolicy first(fg, c.src, c.dst, split_route(fg, c.src, c.dst, dag, FlowPlacement::EqualBalanced, Admission::Lossless)); (void)first.place(1); - PinnedOne second(fg, c.src, c.dst, dag, FlowPlacement::Weighted, Admission::Lossy, EdgePriority::Capacity); + RoutePolicy second(fg, c.src, c.dst, split_route(fg, c.src, c.dst, dag, FlowPlacement::Weighted, Admission::Lossy)); (void)second.place(2); } // two orphans: a copy may only be taken of a ledger without bound policies const LedgerState source = ledger_state(fg); @@ -564,7 +576,7 @@ TEST(LedgerFaults, ScratchGrowthFailureLeavesNothingHalfGrown) { const auto dag = all_edges(*large); const std::int32_t n = large->num_nodes(); const auto policy = [&](FlowLedger& fg) { - return PinnedOne(fg, 0, n - 1, dag, FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); + return RoutePolicy(fg, 0, n - 1, split_route(fg, 0, n - 1, dag, FlowPlacement::EqualBalanced, Admission::Lossless)); }; // The reference, without a failure: the empty ledger, the ledger and epoch right after the // construction, and the result, ledger and epoch of place(2). @@ -577,7 +589,7 @@ TEST(LedgerFaults, ScratchGrowthFailureLeavesNothingHalfGrown) { { FlowLedger fg(large); fresh = ledger_state(fg); - PinnedOne p = policy(fg); + RoutePolicy p = policy(fg); built = ledger_state(fg); built_epoch = epoch(p.policy()); want = p.place(2); @@ -590,14 +602,14 @@ TEST(LedgerFaults, ScratchGrowthFailureLeavesNothingHalfGrown) { // scratch and the kernels' buffers) on the small graph. const auto warm_up = [&] { FlowLedger fg(small); - PinnedOne p(fg, 0, 2, small_dag, FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); + RoutePolicy p(fg, 0, 2, split_route(fg, 0, 2, small_dag, FlowPlacement::EqualBalanced, Admission::Lossless)); EXPECT_EQ(p.place(2).placed, 2); }; sweep_scratch_growth( "construction", warm_up, [&](long at, const std::string& w) { FlowLedger fg(large); - std::optional p; + std::optional p; const bool failed = fails_at(at, [&] { p.emplace(policy(fg)); }); if (failed) { EXPECT_FALSE(p.has_value()) << w; @@ -614,7 +626,7 @@ TEST(LedgerFaults, ScratchGrowthFailureLeavesNothingHalfGrown) { }, [&] { FlowLedger fg(large); - std::optional p(policy(fg)); + std::optional p(policy(fg)); (void)p->place(2); // the scratch grows to the large graph p->remove(); p.reset(); @@ -626,7 +638,7 @@ TEST(LedgerFaults, ScratchGrowthFailureLeavesNothingHalfGrown) { "placement", warm_up, [&](long at, const std::string& w) { FlowLedger fg(large); - PinnedOne p = policy(fg); + RoutePolicy p = policy(fg); const LedgerState before = ledger_state(fg); const Epoch before_epoch = epoch(p.policy()); PlacementResult got; @@ -644,7 +656,7 @@ TEST(LedgerFaults, ScratchGrowthFailureLeavesNothingHalfGrown) { }, [&] { FlowLedger fg(large); - PinnedOne p = policy(fg); + RoutePolicy p = policy(fg); (void)p.place(2); // the scratch grows to the large graph p.remove(); long warm = 0; @@ -679,8 +691,8 @@ TEST(LedgerFaults, RemovalAndReleaseNeverAllocate) { const auto dag = all_edges(*c.g); for (const auto& k : kernels()) { FlowLedger fg(c.g); - auto p = std::make_unique(fg, c.src, c.dst, dag, k.placement, k.admission, k.priority); - expect_removal_and_release_allocate_nothing(fg, p, c.name + " kernel " + std::to_string(static_cast(k.placement))); + auto p = std::make_unique(fg, c.src, c.dst, k.config(fg, c.src, c.dst, dag)); + expect_removal_and_release_allocate_nothing(fg, p, c.name + " " + k.name); } } } diff --git a/tests/cpp/flow_ledger_tests.cpp b/tests/cpp/flow_ledger_tests.cpp index 7b8167c..30e39f0 100644 --- a/tests/cpp/flow_ledger_tests.cpp +++ b/tests/cpp/flow_ledger_tests.cpp @@ -1,6 +1,7 @@ // The integer ledger FlowLedger: the baseline, snapshots, FlowIds, bottleneck, and -// every row and transition of the lifetime table, driven through a FlowPolicy with Pinned -// routing and one bundle (test::PinnedOne, pinned_one.hpp); the 128-bit counters of the records; +// every row and transition of the lifetime table, driven through a policy on one route (Global +// with the route as its support, or Pinned over it as a supplied split route: test::RoutePolicy, +// route_policy.hpp); the 128-bit counters of the records; // and the commit rule itself (each edge published once, the multi-owner model, the fresh-record // path), driven through detail::LedgerAccess directly. // @@ -29,7 +30,7 @@ #include "netgraph/core/detail/ledger_access.hpp" #include "netgraph/core/detail/pred_dag_builder.hpp" #include "netgraph/core/flow_ledger.hpp" -#include "pinned_one.hpp" +#include "route_policy.hpp" #include "state_comparators.hpp" #include "test_utils.hpp" @@ -98,7 +99,7 @@ TEST(FlowLedger, BaselineDefectsReportTheFirstInOrder) { } FlowLedger fg(g); { - PinnedOne q(fg, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); + RoutePolicy q(fg, 0, 3, split_route(fg, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless)); ASSERT_EQ(q.place(1).placed, 1); for (const auto& c : edge_amount_defects()) { EXPECT_EQ(error_of([&] { fg.reset(c.amounts); }), "FlowLedger.reset is rejected while a policy is bound (1 bound)"); @@ -126,7 +127,7 @@ TEST(FlowLedger, BaselineDefectsReportTheFirstInOrder) { TEST(FlowLedger, BoundNoFlowsRow) { auto g = shared(make_graph(2, {{0, 1, 5, 1}})); FlowLedger fg(g); - PinnedOne p(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); + RoutePolicy p(fg, 0, 1, split_route(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless)); // place(0): a no-op that creates nothing. auto r = p.place(0); EXPECT_EQ(r.termination, Termination::Complete); @@ -153,12 +154,12 @@ TEST(FlowLedger, BoundNoFlowsRow) { } TEST(FlowLedger, NoRouteCreatesNothing) { - // A bundle whose only walk is excluded by the Eligibility: usable_bundles() == 0. + // A support whose only walk is excluded by the Eligibility: the roster is empty. auto g = shared(make_graph(2, {{0, 1, 5, 1}})); FlowLedger fg(g); auto el = std::make_shared(g->eligibility({}, std::vector {0})); - PinnedOne p(fg, 0, 1, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual, el); - EXPECT_EQ(p.usable_bundles(), 0); + RoutePolicy p(fg, 0, 1, on_support(all_edges(*g)), el); + EXPECT_TRUE(detail::PolicyAccess::engine(p.policy()).roster.empty()); auto r = p.place(3); EXPECT_EQ(r.termination, Termination::NoRoute); EXPECT_EQ(r.placed, 0); @@ -167,20 +168,23 @@ TEST(FlowLedger, NoRouteCreatesNothing) { EXPECT_FALSE(r.routes_changed); EXPECT_TRUE(fg.records().empty()); EXPECT_EQ(LedgerAccess::next_flow_id(fg), 0); - // A bundle without any walk before pruning is malformed. + // A route without any walk: a supplied split route is rejected; as a support it leaves the + // roster empty. auto g2 = shared(make_graph(3, {{0, 1, 5, 1}, {2, 1, 5, 1}})); FlowLedger fg2(g2); - EXPECT_NE(error_of([&] { - PinnedOne bad(fg2, 0, 2, all_edges(*g2), FlowPlacement::MaxFlow, Admission::Lossless, - EdgePriority::Residual); - }).find("malformed bundle"), - std::string::npos); + EXPECT_EQ(error_of([&] { + RoutePolicy bad(fg2, 0, 2, split_route(fg2, 0, 2, all_edges(*g2), FlowPlacement::EqualBalanced, Admission::Lossless)); + }), + "routes[0]: no walk from head 0 to a destination"); + RoutePolicy none(fg2, 0, 2, on_support(all_edges(*g2))); + EXPECT_TRUE(detail::PolicyAccess::engine(none.policy()).roster.empty()); + EXPECT_EQ(none.place(1).termination, Termination::NoRoute); } TEST(FlowLedger, BoundWithFlowsRowAndEpochs) { auto g = shared(make_graph(2, {{0, 1, 5, 1}})); FlowLedger fg(g); - PinnedOne p(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); + RoutePolicy p(fg, 0, 1, split_route(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless)); EXPECT_EQ(p.place(2).placed, 2); // Adds: the requested total grows within the epoch. auto r = p.place(std::nullopt); @@ -234,10 +238,9 @@ TEST(FlowLedger, BoundWithFlowsRowAndEpochs) { TEST(FlowLedger, OrphanedRecordsResetAndCopy) { auto g = shared(make_graph(2, {{0, 1, 5, 1}})); FlowLedger fg(g); - auto p = std::make_unique(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, - EdgePriority::Residual); + auto p = std::make_unique(fg, 0, 1, split_route(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless)); { - PinnedOne q(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); + RoutePolicy q(fg, 0, 1, split_route(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless)); EXPECT_EQ(q.place(2).placed, 2); } // destroyed without remove(): the record stays as an orphan ASSERT_EQ(fg.records().size(), 1u); @@ -262,7 +265,7 @@ TEST(FlowLedger, OrphanedRecordsResetAndCopy) { EXPECT_EQ(fg.residual(), (std::vector{4})); EXPECT_TRUE(LedgerAccess::orphan_owners(fg).empty()); EXPECT_EQ(LedgerAccess::next_flow_id(fg), 2); - PinnedOne r(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); + RoutePolicy r(fg, 0, 1, split_route(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless)); EXPECT_EQ(r.place(9).placed, 4); EXPECT_EQ(r.flow_id()->second, 2); // The copy is independent of the original. @@ -284,12 +287,12 @@ TEST(FlowLedger, CopyAndMoveCarryTheWholeLedger) { for (std::size_t i = 0; i < 4; ++i) baseline[static_cast(inv[i])] = by_input[i]; FlowLedger fg(g, baseline); { - PinnedOne lossy(fg, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy, EdgePriority::Residual); + RoutePolicy lossy(fg, 0, 3, split_route(fg, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy)); (void)lossy.place(10); // owner 0, FlowId 0: delivers 6, drops 4 on the 1 -> 3 edge - PinnedOne removed(fg, 0, 3, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + RoutePolicy removed(fg, 0, 3, on_support(all_edges(*g))); (void)removed.place(1); // owner 1, FlowId 1, retired by remove() removed.remove(); - PinnedOne lossless(fg, 0, 3, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + RoutePolicy lossless(fg, 0, 3, on_support(all_edges(*g))); (void)lossless.place(2); // owner 2, FlowId 2 } // three orphaned owners, two records: a copy or a move needs a ledger without bound policies const LedgerState source = ledger_state(fg); @@ -312,7 +315,7 @@ TEST(FlowLedger, CopyAndMoveCarryTheWholeLedger) { auto expect_whole = [&](FlowLedger& x, const std::string& what) { expect_same(ledger_state(x), source, what); EXPECT_EQ(vec(LedgerAccess::baseline(x)), source_baseline) << what; - PinnedOne next(x, 0, 3, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + RoutePolicy next(x, 0, 3, on_support(all_edges(*g))); EXPECT_EQ(next.place(1).placed, 1) << what; ASSERT_TRUE(next.flow_id().has_value()) << what; EXPECT_EQ(next.flow_id()->second, source.next_id) << what; @@ -361,7 +364,7 @@ TEST(FlowLedger, CopyAndMoveCarryTheWholeLedger) { TEST(FlowLedger, FlowIdsOfOtherLedgersAndUnknownIds) { auto g = shared(make_graph(2, {{0, 1, 5, 1}})); FlowLedger a(g), b(g); - PinnedOne p(a, 0, 1, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + RoutePolicy p(a, 0, 1, on_support(all_edges(*g))); (void)p.place(1); const auto id = *p.flow_id(); EXPECT_EQ(a.record(id).delivered, 1); @@ -371,7 +374,7 @@ TEST(FlowLedger, FlowIdsOfOtherLedgersAndUnknownIds) { "FlowId (" + std::to_string(a.uid()) + ", 7) is retired or unknown"); // A policy's record() reads its own records only: another policy's record of the same ledger is // refused, and the ledger's own checks come first. - PinnedOne q(a, 0, 1, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + RoutePolicy q(a, 0, 1, on_support(all_edges(*g))); EXPECT_EQ(p.policy().record(id).delivered, 1); EXPECT_EQ(error_of([&] { (void)q.policy().record(id); }), "FlowId (" + std::to_string(a.uid()) + ", " + std::to_string(id.second) + ") is not a record of this policy"); @@ -386,7 +389,7 @@ TEST(FlowLedger, RecordsCarryTheContractFields) { auto g = shared(make_graph(4, {{0, 1, 10, 1}, {0, 2, 10, 1}, {1, 3, 1, 1}, {2, 3, 10, 1}})); const auto inv = id_of_input(*g); FlowLedger fg(g); - PinnedOne p(fg, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy, EdgePriority::Residual); + RoutePolicy p(fg, 0, 3, split_route(fg, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy)); auto r = p.place(10); EXPECT_EQ(r.placed, 6); EXPECT_EQ(r.termination, Termination::Complete); @@ -414,16 +417,18 @@ TEST(FlowLedger, RecordsCarryTheContractFields) { ASSERT_EQ(rec.drops.size(), 1u); EXPECT_EQ(rec.drops[0].first, inv[2]); EXPECT_EQ(rec.drops[0].second, (Counter128 {0, 5})); - // +inf on a fresh ledger: offered is the injection (20), delivered 11, drops 9. + // +inf on a fresh ledger (CostOnly's first-hop experiment over the same DAG): offered is the + // injection (20), delivered 11, drops 9. FlowLedger f2(g); - PinnedOne q(f2, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy, EdgePriority::Residual); + FlowPolicy q(f2, std::vector {0}, std::vector {3}, + FlowPolicyConfig {CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy}); r = q.place(std::nullopt); EXPECT_EQ(r.placed, 11); EXPECT_EQ(r.termination, Termination::Exhausted); EXPECT_EQ(*f2.records()[0].offered, (Counter128 {0, 20})); // Lossless records carry no offered. FlowLedger f3(g); - PinnedOne m(f3, 0, 3, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + RoutePolicy m(f3, 0, 3, on_support(all_edges(*g))); (void)m.place(3); EXPECT_FALSE(f3.records()[0].offered.has_value()); EXPECT_TRUE(f3.records()[0].drops.empty()); @@ -434,7 +439,7 @@ TEST(FlowLedger, CountersBeyondSixtyFourBits) { // every other unit dropped: offered and drops grow beyond 2^64. auto g = shared(make_graph(2, {{0, 1, 1, 1}})); FlowLedger fg(g); - PinnedOne p(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy, EdgePriority::Residual); + RoutePolicy p(fg, 0, 1, split_route(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy)); const Amount big = kDomainLimit - 1; for (int i = 0; i < 9; ++i) (void)p.place(big); const auto rec = fg.records().at(0); @@ -483,7 +488,7 @@ TEST(FlowLedger, Counter128CarriesAndFailsAt2To127) { TEST(FlowLedger, RequestDomainAndFailedCallsLeaveState) { auto g = shared(make_graph(2, {{0, 1, 5, 1}})); FlowLedger fg(g); - PinnedOne p(fg, 0, 1, all_edges(*g), FlowPlacement::Weighted, Admission::Lossless, EdgePriority::Capacity); + RoutePolicy p(fg, 0, 1, split_route(fg, 0, 1, all_edges(*g), FlowPlacement::Weighted, Admission::Lossless)); (void)p.place(2); const LedgerState before = ledger_state(fg); const auto id = p.flow_id(); @@ -502,23 +507,22 @@ TEST(FlowLedger, RequestDomainAndFailedCallsLeaveState) { // Constructor validation. auto other = make_graph(2, {{0, 1, 5, 1}}); EXPECT_EQ(error_of([&] { - PinnedOne x(fg, 0, 1, dag_of(other, {0}), FlowPlacement::MaxFlow, Admission::Lossless, - EdgePriority::Residual); + RoutePolicy x(fg, 0, 1, on_support(dag_of(other, {0}))); }), - "foreign PredDAG: bundle built for another graph"); + "support belongs to another graph"); EXPECT_EQ(error_of([&] { - PinnedOne x(fg, 0, 0, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + RoutePolicy x(fg, 0, 1, split_route(fg, 0, 1, dag_of(other, {0}), FlowPlacement::EqualBalanced, Admission::Lossless)); }), - "node 0 is in both endpoint sets: sources and destinations must not overlap"); + "routes[0]: bundle belongs to another graph"); EXPECT_EQ(error_of([&] { - PinnedOne x(fg, 0, 1, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossy, EdgePriority::Residual); + RoutePolicy x(fg, 0, 0, on_support(all_edges(*g))); }), - kLossyKernelError); + "node 0 is in both endpoint sets: sources and destinations must not overlap"); EXPECT_EQ(error_of([&] { - PinnedOne x(fg, 0, 1, all_edges(*g), FlowPlacement::Weighted, Admission::Lossless, EdgePriority::Headroom); + RoutePolicy x(fg, 0, 1, on_support(all_edges(*g), Admission::Lossy)); }), - kHeadroomKernelError); - // A rejected construction binds nothing. + kLossyKernelError); + // A rejected construction binds nothing (the accepted one above was destroyed: an orphan owner). EXPECT_EQ(LedgerAccess::bound_owners(fg), (std::vector{0})); } @@ -529,7 +533,7 @@ TEST(FlowLedger, BottleneckVersusMinCut) { auto g = shared(make_graph(4, {{0, 1, 1, 1}, {0, 2, 2, 3}, {1, 2, 1, 1}, {2, 3, 2, 1}})); const auto inv = id_of_input(*g); FlowLedger fg(g); - PinnedOne p(fg, 0, 3, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + RoutePolicy p(fg, 0, 3, on_support(all_edges(*g))); EXPECT_EQ(p.place(std::nullopt).placed, 2); EXPECT_EQ(alloc_in(fg), (std::vector{1, 1, 1, 2})); std::vector want = {inv[0], inv[3]}; @@ -542,8 +546,8 @@ TEST(FlowLedger, BottleneckVersusMinCut) { auto g2 = shared(make_graph(5, {{0, 1, 1, 1}, {1, 2, 1, 1}, {0, 3, 1, 1}, {0, 4, 0, 1}})); const auto inv2 = id_of_input(*g2); FlowLedger f2(g2); - PinnedOne a(f2, 1, 2, dag_of(*g2, {inv2[1]}), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); - PinnedOne b(f2, 0, 3, dag_of(*g2, {inv2[2]}), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + RoutePolicy a(f2, 1, 2, on_support(dag_of(*g2, {inv2[1]}))); + RoutePolicy b(f2, 0, 3, on_support(dag_of(*g2, {inv2[2]}))); ASSERT_EQ(a.place(1).placed, 1); ASSERT_EQ(b.place(1).placed, 1); std::vector want2 = {inv2[1], inv2[2]}; @@ -571,13 +575,12 @@ TEST(FlowLedger, TwoOwnersNeverCancelEachOther) { auto g = shared(make_graph(4, {{0, 1, 1, 1}, {1, 2, 1, 1}, {2, 3, 1, 1}, {0, 2, 1, 3}, {1, 3, 1, 3}})); const auto inv = id_of_input(*g); FlowLedger fg(g); - PinnedOne a(fg, 0, 3, dag_of(*g, {inv[0], inv[1], inv[2]}), FlowPlacement::MaxFlow, Admission::Lossless, - EdgePriority::Residual); + RoutePolicy a(fg, 0, 3, on_support(dag_of(*g, {inv[0], inv[1], inv[2]}))); EXPECT_EQ(a.place(1).placed, 1); - PinnedOne b(fg, 0, 3, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + RoutePolicy b(fg, 0, 3, on_support(all_edges(*g))); auto r = b.place(2); EXPECT_EQ(r.placed, 0); - EXPECT_TRUE(r.routes_changed); + EXPECT_FALSE(r.routes_changed); // a controller program without a path: no program change EXPECT_EQ(r.termination, Termination::Exhausted); EXPECT_EQ(fg.record(*b.flow_id()).delivered, 0); EXPECT_EQ(alloc_in(fg), (std::vector{1, 1, 1, 0, 0})); @@ -609,13 +612,17 @@ TEST(FlowLedger, AggregatesEqualTheSumOfRecords) { } auto g = shared(make_graph(n, edges)); FlowLedger fg(g); - std::vector> pols; - const FlowPlacement kinds[3] = {FlowPlacement::MaxFlow, FlowPlacement::Weighted, FlowPlacement::EqualBalanced}; + std::vector> pols; for (int k = 0; k < 4; ++k) { - const auto kind = kinds[rng() % 3]; - const auto adm = kind != FlowPlacement::MaxFlow && rng() % 3 == 0 ? Admission::Lossy : Admission::Lossless; + // Global on the route, or Pinned over it as a split route (Weighted or EqualBalanced, either + // admission). + const int kind = static_cast(rng() % 3); + const auto adm = kind != 0 && rng() % 3 == 0 ? Admission::Lossy : Admission::Lossless; try { - pols.push_back(std::make_unique(fg, 0, n - 1, all_edges(*g), kind, adm, EdgePriority::Capacity)); + auto cfg = kind == 0 ? on_support(all_edges(*g)) + : split_route(fg, 0, n - 1, all_edges(*g), + kind == 1 ? FlowPlacement::Weighted : FlowPlacement::EqualBalanced, adm); + pols.push_back(std::make_unique(fg, 0, n - 1, std::move(cfg))); } catch (const std::invalid_argument&) { break; // no walk at all } @@ -633,7 +640,9 @@ TEST(FlowLedger, AggregatesEqualTheSumOfRecords) { p.reset(); orphaned += LedgerAccess::orphan_owners(fg).size() > orphans ? 1 : 0; } else if (!p->infinite()) { - delivering += p->place(op == 2 ? std::optional() : std::optional(rng() % 9)).placed > 0; + // +inf only Lossless (a Lossy forwarding of a program needs a finite offer). + const bool inf = op == 2 && !p->lossy(); + delivering += p->place(inf ? std::optional() : std::optional(rng() % 9)).placed > 0; } recorded = recorded || !fg.records().empty(); const std::string where = "trial " + std::to_string(trial) + " step " + std::to_string(step); @@ -674,9 +683,9 @@ TEST(FlowLedger, TheRecordCheckReportsEachBrokenClause) { const auto inv = id_of_input(*g); FlowLedger f1(g); FlowLedger f2(g); - PinnedOne max_flow(f1, 0, 3, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + RoutePolicy max_flow(f1, 0, 3, on_support(all_edges(*g))); ASSERT_EQ(max_flow.place(std::nullopt).placed, 11); - PinnedOne lossy(f2, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy, EdgePriority::Residual); + RoutePolicy lossy(f2, 0, 3, split_route(f2, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy)); ASSERT_EQ(lossy.place(10).placed, 6); ASSERT_EQ(lossy.place(1).placed, 0); const FlowRecord lossless_record = f1.records().at(0); @@ -773,14 +782,15 @@ TEST(FlowLedger, TheRecordCheckReportsEachBrokenClause) { } TEST(FlowLedger, NoRouteCallsRecordTheEpochState) { - // A positive request with no usable bundle creates nothing, but the epoch records it: after + // A positive request with an empty roster creates nothing, but the epoch records it: after // +inf a finite request (place(0) included) is rejected until remove() (the epoch state: - // the reading of the reference in tests/reference/policy/p2_transaction/). + // the reading of the reference in tests/reference/policy/p2_transaction/). Global on a + // support: Pinned keeps one record per program entry even when every entry is masked + // (below, and test_programs.py::test_all_failed_entries_still_have_records). auto g = shared(make_graph(2, {{0, 1, 5, 1}})); FlowLedger fg(g); auto el = std::make_shared(g->eligibility({}, std::vector {0})); - PinnedOne p(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual, - el); + RoutePolicy p(fg, 0, 1, on_support(all_edges(*g)), el); EXPECT_EQ(p.place(3).termination, Termination::NoRoute); EXPECT_EQ(p.requested(), (Counter128 {0, 3})); auto r = p.place(std::nullopt); @@ -797,17 +807,30 @@ TEST(FlowLedger, NoRouteCallsRecordTheEpochState) { EXPECT_EQ(p.place(1).termination, Termination::NoRoute); EXPECT_TRUE(fg.records().empty()); EXPECT_EQ(LedgerAccess::next_flow_id(fg), 0); + // Pinned with its one entry masked: NoRoute, and the entry's record at zero. + FlowLedger fg2(g); + RoutePolicy q(fg2, 0, 1, split_route(fg2, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless), + el); + auto rq = q.place(3); + EXPECT_EQ(rq.termination, Termination::NoRoute); + EXPECT_EQ(rq.placed, 0); + const auto kept = fg2.records(); + ASSERT_EQ(kept.size(), 1U); + EXPECT_EQ(kept[0].entry, std::optional {0}); + EXPECT_EQ(kept[0].delivered, 0); + EXPECT_TRUE(kept[0].edges.empty()); + EXPECT_EQ(kept[0].route_cost, kUnreachable); } TEST(FlowLedger, RouteCostIsTheBundlesMinimumWalk) { - // Weighted Residual on a route whose only edge another owner fills: the split graph is - // empty (record at zero delivery; no positive weight: NoActiveWeight), route_cost is still the - // bundle's walk cost 3. + // A split route weighted by its residual snapshot, made while another owner fills its only + // edge: no positive weight (record at zero delivery; NoActiveWeight), route_cost is still the + // route's walk cost 3. auto g = shared(make_graph(2, {{0, 1, 2, 3}})); FlowLedger fg(g); - PinnedOne holder(fg, 0, 1, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + RoutePolicy holder(fg, 0, 1, on_support(all_edges(*g))); EXPECT_EQ(holder.place(2).placed, 2); - PinnedOne w(fg, 0, 1, all_edges(*g), FlowPlacement::Weighted, Admission::Lossless, EdgePriority::Residual); + RoutePolicy w(fg, 0, 1, split_route(fg, 0, 1, all_edges(*g), FlowPlacement::Weighted, Admission::Lossless, WeightBasis::ResidualSnapshot)); auto r = w.place(1); EXPECT_EQ(r.placed, 0); EXPECT_EQ(r.termination, Termination::NoActiveWeight); @@ -820,7 +843,7 @@ TEST(FlowLedger, RouteCostIsTheBundlesMinimumWalk) { // A mixed-cost bundle: the cheapest walk (1 + 1 + 1) is the route cost, not the cost-4 edge. auto g2 = shared(make_graph(4, {{0, 1, 1, 1}, {1, 2, 1, 1}, {2, 3, 1, 1}, {0, 3, 1, 4}})); FlowLedger f2(g2); - PinnedOne m(f2, 0, 3, all_edges(*g2), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); + RoutePolicy m(f2, 0, 3, on_support(all_edges(*g2))); (void)m.place(1); EXPECT_EQ(f2.records()[0].route_cost, 3); } @@ -830,8 +853,8 @@ TEST(FlowLedger, RemovalRestoresTheBaselineAndLeavesOtherOwnersIntact) { // the capacity; another owner's allocation stays intact. auto g = shared(make_graph(2, {{0, 1, 10, 1}})); FlowLedger fg(g, std::vector {5}); - PinnedOne a(fg, 0, 1, all_edges(*g), FlowPlacement::MaxFlow, Admission::Lossless, EdgePriority::Residual); - PinnedOne b(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless, EdgePriority::Residual); + RoutePolicy a(fg, 0, 1, on_support(all_edges(*g))); + RoutePolicy b(fg, 0, 1, split_route(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless)); EXPECT_EQ(a.place(3).placed, 3); EXPECT_EQ(b.place(1).placed, 1); EXPECT_EQ(fg.residual(), (std::vector{1})); @@ -849,8 +872,8 @@ TEST(FlowLedger, LossyOffersArePerCall) { // EdgeId first (both on the first branch) while one call of 2 splits [1, 1]: not additive. auto g = shared(make_graph(4, {{0, 1, 10, 1}, {0, 2, 10, 1}, {1, 3, 1, 1}, {2, 3, 10, 1}})); FlowLedger f1(g), f2(g); - PinnedOne p1(f1, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy, EdgePriority::Residual); - PinnedOne p2(f2, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy, EdgePriority::Residual); + RoutePolicy p1(f1, 0, 3, split_route(f1, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy)); + RoutePolicy p2(f2, 0, 3, split_route(f2, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy)); auto r = p1.place(1); EXPECT_EQ(r.placed, 1); r = p1.place(1); diff --git a/tests/cpp/flow_policy_fault_tests.cpp b/tests/cpp/flow_policy_fault_tests.cpp index 4e0f39f..fd01060 100644 --- a/tests/cpp/flow_policy_fault_tests.cpp +++ b/tests/cpp/flow_policy_fault_tests.cpp @@ -1,6 +1,8 @@ // Allocation-failure atomicity of the policy engine, the DagCache and the evaluators. -// Exhaustive sweeps (each allocation fails once) cover the placement calls of the 16 routing and -// kernel modes below, with and without a static Eligibility; the zero and empty-roster calls; the +// Exhaustive sweeps (each allocation fails once) cover the placement calls of the routing and +// kernel modes below (supplied programs of split routes and of crossing tunnels, Global with a +// support among them), with and without a static Eligibility; the full-offer calls evaluate, +// replace and forward (with black holes) of every mode; the zero and empty-roster calls; the // policy construction, with and without a supplied building cache and an Eligibility; the // DagCache construction and insertion; capacity() and batch_capacity() on one worker in every // mode (batch_capacity: every mode but Pinned), without options, with an Eligibility and, in the @@ -12,8 +14,9 @@ // threads only. The scratch-growth test sweeps every allocation of a placement on a 3,000-node // graph after warming up on a 3-node graph, on a fresh thread for each attempt. After each injected // std::bad_alloc the ledger (aggregate, residual, every record field, owners, next FlowId) and -// the policy's epoch state (requested, +inf, Global's cumulative curve, and per flow its id, route -// cost and plan: route, members, weights) equal their state before the call; a clean retry gives +// the policy's epoch state (requested, +inf, Global's cumulative curve, the installed program, the +// by_tunnel rows, and per flow its id, route cost and plan: route, members, weights) equal their +// state before the call; a clean retry gives // the reference result (no poisoned per-thread scratch); and remove() leaves the ledger as the // reference's own remove() does. No failed call leaves an allocation live once its attempt's // objects are gone (a supplied building cache with its kept entries included). remove(), a @@ -69,8 +72,21 @@ struct Mode { FlowPolicyConfig cfg; std::vector sources; std::vector destinations; + // The evaluators' offer (a Pinned Lossy evaluation requires a finite one). + std::optional> offered {}; }; +// The evaluators' options of a mode. +QueryOptions query_of(const Mode& m, const Eligibility* elig = nullptr, DagCache* cache = nullptr, + OutputOptions outputs = {}) { + return QueryOptions {m.cfg, elig, cache, outputs, m.offered}; +} + +// A Pinned Lossy forwarding needs a finite offer (no first-hop experiment). +bool finite_only(const Mode& m) { + return std::holds_alternative(m.cfg.routing) && m.cfg.admission == Admission::Lossy; +} + std::vector modes(const Graph& g) { std::vector out; const auto det = PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity); @@ -80,7 +96,9 @@ std::vector modes(const Graph& g) { const std::vector D = {5, 6}; out.push_back({"costonly maxflow", {CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossless, det}, S, D}); out.push_back({"costonly eb", cost_only_config(), S, D}); - out.push_back({"costonly weighted residual", {CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, res}, S, D}); + out.push_back({"costonly weighted residual", + {CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, res, std::nullopt, WeightBasis::ResidualSnapshot}, + S, D}); out.push_back({"costonly lossy", {CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy, det}, S, D}); // Several sources: the deterministic single path (the pooled single-path rule rejects // PreferHigherPriority with multipath false). @@ -110,11 +128,34 @@ std::vector modes(const Graph& g) { // Pooled Weighted Lossy: source 1's zero-capacity member has weight 0 (pruned), the shares // attributed across the shared routers. out.push_back({"costonly weighted lossy", {CostOnly {}, FlowPlacement::Weighted, Admission::Lossy, det}, S, D}); - Pinned two; + // Pinned over supplied programs: three split routes of source 0 (one all-zero: a Weighted + // route without a member), Lossless EqualBalanced and Lossy Weighted; and two sources' crossing + // tunnels, Lossy, which meet on shared links (the general loss rule). const auto inv = id_of_input(g); - two.bundles = {dag_of(g, {inv[0], inv[4], inv[5]}), dag_of(g, {inv[1], inv[6]}), dag_of(g, {inv[12]})}; - out.push_back({"pinned eb cohort", {two, FlowPlacement::EqualBalanced, Admission::Lossless, det}, {0}, {5}}); - out.push_back({"pinned lossy", {two, FlowPlacement::Weighted, Admission::Lossy, det}, {0}, {5}}); + const NodeId s0[1] = {0}; + const NodeId d5[1] = {5}; + const std::vector split = {Route {0, dag_of(g, {inv[0], inv[4], inv[5]}), 1}, + Route {0, dag_of(g, {inv[1], inv[6]}), 2}, Route {0, dag_of(g, {inv[12]}), 1}}; + RouteOptions weighted; + weighted.placement = FlowPlacement::Weighted; + out.push_back({"pinned eb split routes", + {.routing = Pinned {ForwardingProgram::from_routes(g, s0, d5, split), nullptr}}, {0}, {5}}); + out.push_back({"pinned lossy", + {.routing = Pinned {ForwardingProgram::from_routes(g, s0, d5, split, weighted), nullptr}, + .admission = Admission::Lossy}, + {0}, {5}, std::optional {6}}); + auto walk = [&](std::vector inputs) { + std::vector> hops; + for (auto i : inputs) hops.push_back({inv[i]}); + return std::make_shared(g, hops); + }; + const std::vector crossing = {Route {0, walk({0, 10, 7}), 2}, Route {0, walk({1, 8}), 1}, + Route {1, walk({3, 7}), 1}, Route {1, walk({2, 8}), 1}}; + out.push_back({"pinned tunnels lossy", + {.routing = Pinned {ForwardingProgram::from_routes(g, S, std::vector {6}, crossing), nullptr}, + .admission = Admission::Lossy}, + S, {6}, std::optional {6}}); + out.push_back({"global support", {.routing = Global {dag_of(g, {inv[0], inv[1], inv[4], inv[6], inv[2]})}}, S, D}); // CostOnly creation in one pass: its Collapse branch (multipath, multi_edge false, // on the creation view) and its Weighted weights (Capacity priority). out.push_back({"costonly eb multipath collapse", @@ -122,6 +163,10 @@ std::vector modes(const Graph& g) { PathSelection(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, true, false)}, S, D}); out.push_back({"costonly weighted capacity", {CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, det}, S, D}); + out.push_back({"costonly weighted explicit", + {CostOnly {}, FlowPlacement::Weighted, Admission::Lossy, det, std::nullopt, WeightBasis::Explicit, + std::make_shared>(std::vector {3, 1, 2, 2, 1, 4, 2, 1, 1, 5, 2, 7, 3})}, + S, D}); return out; } @@ -153,14 +198,11 @@ Eligibility without_input_edge(const Graph& g, std::size_t position) { Eligibility without_bypass(const Graph& g) { return without_input_edge(g, 9); } Eligibility without_cross(const Graph& g) { return without_input_edge(g, 10); } -// A third party holding one unit on the first route's edges. +// A third party holding one unit on the first route's edges (Global on that route as its support). std::unique_ptr third_party(FlowLedger& fg, const Graph& g) { const auto inv = id_of_input(g); - Pinned p; - p.bundles = {dag_of(g, {inv[0], inv[4]})}; auto t = std::make_unique(fg, std::vector {0}, std::vector {5}, - FlowPolicyConfig {p, FlowPlacement::MaxFlow, Admission::Lossless, - PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)}); + FlowPolicyConfig {.routing = Global {dag_of(g, {inv[0], inv[4]})}}); (void)t->place(1); return t; } @@ -180,18 +222,19 @@ TEST(PolicyFaults, ZeroCapacityLinksTakePartInTheSweeps) { const auto& pe = detail::PolicyAccess::engine(p); if (m.name == "costonly eb") { // The pooled program of both sources holds the zero link as a member. - ASSERT_TRUE(pe.program != nullptr); - EXPECT_EQ(vec(pe.program->roots), (std::vector {0, 1})); - EXPECT_TRUE(std::find(pe.program->members.begin(), pe.program->members.end(), inv[11]) != - pe.program->members.end()); - const auto s = sensitivity(*g, m.sources, m.destinations, QueryOptions {m.cfg}, 1); + ASSERT_TRUE(pe.epoch.program != nullptr); + const auto& plan = *detail::ProgramAccess::data(*pe.epoch.program).contexts.front().plan; + EXPECT_EQ(vec(plan.roots), (std::vector {0, 1})); + EXPECT_TRUE(std::find(plan.members.begin(), plan.members.end(), inv[11]) != plan.members.end()); + const auto s = sensitivity(*g, m.sources, m.destinations, query_of(m), 1); EXPECT_TRUE(std::any_of(s.entries.begin(), s.entries.end(), [&](const auto& e) { return e.edge == inv[11]; })); } - if (std::holds_alternative(m.cfg.routing)) { - EXPECT_EQ(p.usable_bundles(), 3) << m.name; - ASSERT_EQ(pe.cohorts.size(), 1U) << m.name; - ASSERT_EQ(pe.cohorts[0].size(), 3U) << m.name; - EXPECT_EQ(pe.cohorts[0][2].plan->members.empty(), m.cfg.placement == FlowPlacement::Weighted) << m.name; + if (m.name == "pinned eb split routes" || m.name == "pinned lossy") { + // Three split routes, three records; the all-zero route keeps its EqualBalanced member and + // has none under the Weighted kernel. + ASSERT_EQ(pe.view.data->contexts.size(), 3U) << m.name; + ASSERT_EQ(pe.epoch.cohorts.size(), 3U) << m.name; + EXPECT_EQ(pe.view.plan(2)->members.empty(), m.name == "pinned lossy") << m.name; } } } @@ -201,6 +244,7 @@ TEST(PolicyFaults, EveryAllocationOfEveryRoutingModeFailsAtomically) { const Eligibility no_bypass = without_bypass(*g); for (const auto& m : modes(*g)) { for (const auto& sc : scenarios()) { + if (finite_only(m) && !sc.call.has_value()) continue; for (const Eligibility* elig : {static_cast(nullptr), &no_bypass}) { const std::string where = m.name + " / " + sc.name + (elig != nullptr ? " / eligibility" : ""); // The third party, then the policy's earlier calls. @@ -222,6 +266,125 @@ TEST(PolicyFaults, EveryAllocationOfEveryRoutingModeFailsAtomically) { } } +// The full-offer calls on a policy that has placed (its program installed): evaluate (nothing +// published, the epoch untouched), replace (the old records retired and new ones created in one +// exchange of the ledger; to zero, and to +inf when Lossless) and, for the computing models, +// forward over the installed program, with and without black holes. Every allocation of the call +// fails once, through the shared placement sweep: a failure changes neither the ledger nor the +// epoch state and leaves no allocation live; the completing call, the retry and remove() leave the +// ledger as the reference's do. +TEST(PolicyFaults, EveryFullOfferCallFailsAtomically) { + const auto g = graph(); + const auto inv = id_of_input(*g); + const EdgeId dark_edges[] = {inv[4], inv[6]}; + const Eligibility dark = g->eligibility({}, dark_edges); + struct Op { + std::string name; + std::function call; + }; + for (const auto& m : modes(*g)) { + const bool lossy = m.cfg.admission == Admission::Lossy; + const bool pinned = std::holds_alternative(m.cfg.routing); + const bool program = !std::holds_alternative(m.cfg.routing); + std::vector ops = {{"evaluate", [](FlowPolicy& p) { return p.evaluate(6, {true, true, true}); }}, + {"replace", [](FlowPolicy& p) { return p.replace(6, {true, true, true}); }}, + {"replace to zero", [](FlowPolicy& p) { return p.replace(0); }}}; + if (!lossy) ops.push_back({"replace +inf", [](FlowPolicy& p) { return p.replace(std::nullopt); }}); + if (program && !pinned) { + ops.push_back({"forward", [](FlowPolicy& p) { return p.forward(6, nullptr, {true, true, true}); }}); + ops.push_back({"forward black holes", [&](FlowPolicy& p) { return p.forward(6, &dark); }}); + } + for (const auto& op : ops) { + const std::string where = m.name + " / " + op.name; + const auto setup = [&](FlowLedger& fg) { + auto third = std::shared_ptr(third_party(fg, *g)); + auto p = std::make_shared(fg, m.sources, m.destinations, m.cfg); + (void)p->place(3); + FlowPolicy* policy = p.get(); + return Staged {std::make_shared, std::shared_ptr>>( + std::move(third), std::move(p)), + policy}; + }; + const long injected = sweep_placement(g, where, setup, op.call); + if (::testing::Test::HasFailure()) return; + EXPECT_GT(injected, 0) << where; // not vacuous + } + } +} + +// Lossy forwarding with links that wait on each other in a cycle (contract 9.4): the rounds' +// scratch, the independent check and the error path. CYC(x, y): tunnel 0 meets X (input edge 0) +// before Y (input edge 3), tunnel 1 Y before X. With x = y = 1 the rounds settle: every +// allocation of a replace(2) fails atomically. With weights 1, 2 and y = 2 the rounds alternate: +// the period-two ValueError and every allocation failure before it publish nothing and leave no +// allocation live. +TEST(PolicyFaults, CyclicLossyForwardingFailsAtomically) { + auto cyc = [](Amount x, Amount y) { + return shared(make_graph(6, {{0, 1, x, 1}, {1, 2, 1000, 1}, {1, 5, 1000, 1}, {2, 3, y, 1}, {3, 0, 1000, 1}, + {3, 5, 1000, 1}, {4, 0, 1000, 1}, {4, 2, 1000, 1}})); + }; + auto program = [](const Graph& g, Amount w1) { + const auto inv = id_of_input(g); + auto walk = [&](std::vector inputs) { + std::vector> hops; + for (auto i : inputs) hops.push_back({inv[i]}); + return std::make_shared(g, hops); + }; + const NodeId s[1] = {4}; + const NodeId d[1] = {5}; + const std::vector routes = {Route {4, walk({6, 0, 1, 3, 5}), 1}, Route {4, walk({7, 3, 4, 0, 2}), w1}}; + return ForwardingProgram::from_routes(g, s, d, routes); + }; + auto config = [](std::shared_ptr prog) { + return FlowPolicyConfig {.routing = Pinned {std::move(prog), nullptr}, .admission = Admission::Lossy}; + }; + const std::vector S = {4}; + const std::vector D = {5}; + { + const auto g = cyc(1, 1); + const auto prog = program(*g, 1); + const auto setup = [&](FlowLedger& fg) { + auto p = std::make_shared(fg, S, D, config(prog)); + FlowPolicy* policy = p.get(); + return Staged {std::move(p), policy}; + }; + const long injected = sweep_placement(g, "converging cycle", setup, [](FlowPolicy& p) { return p.replace(2); }); + EXPECT_GT(injected, 0); // not vacuous + } + const auto g = cyc(1, 2); + const auto prog = program(*g, 2); + long injected = 0; + for (long at = 0;; ++at) { + const std::string w = "period two allocation " + std::to_string(at); + const long live = g_live.load(); + bool completed = false; + { + FlowLedger fg(g); + FlowPolicy p(fg, S, D, config(prog)); + const LedgerState initial = ledger_state(fg); + const Epoch initial_epoch = epoch(p); + bool raised = false; + if (fails_at(at, [&] { + try { + (void)p.replace(3); + } catch (const std::invalid_argument& e) { + raised = std::string(e.what()) == "lossy forwarding iteration entered a period-2 cycle"; + } + })) { + ++injected; + } else { + EXPECT_TRUE(raised) << w; + completed = true; + } + expect_same(ledger_state(fg), initial, w); + expect_same(epoch(p), initial_epoch, w); + } + EXPECT_EQ(g_live.load(), live) << w << ": a leak"; + if (completed || ::testing::Test::HasFailure()) break; + } + EXPECT_GT(injected, 0); // not vacuous +} + // The calls that place nothing publish only their outputs and, for a positive request, the // epoch's request: a zero request, and a positive or +inf request when no source reaches a // destination (an empty roster; the endpoints swapped: 5 and 6 have no out-edges). Each runs @@ -238,7 +401,7 @@ TEST(PolicyFaults, ZeroAndEmptyRosterCallsFailAtomically) { }; const std::vector cases = {{false, 0, "zero"}, {true, 4, "empty roster"}, {true, std::nullopt, "empty roster +inf"}}; for (const auto& m : modes(*g)) { - if (std::holds_alternative(m.cfg.routing)) continue; // bundles bind their endpoints + if (std::holds_alternative(m.cfg.routing)) continue; // a program binds its endpoints for (const auto& c : cases) { const auto& s = c.swap ? m.destinations : m.sources; const auto& d = c.swap ? m.sources : m.destinations; @@ -495,7 +658,7 @@ long sweep_batch(const Mode& m, const Graph& g, std::span wo {m.sources, m.destinations}, {{1}, {6}}, {{0}, {5}}}; const std::vector per_pair(o.per_pair != nullptr ? pairs.size() : 0, o.per_pair); std::optional cache; - const auto opts = [&] { return QueryOptions {m.cfg, o.elig, cache ? &*cache : nullptr}; }; + const auto opts = [&] { return query_of(m, o.elig, cache ? &*cache : nullptr); }; if (o.cache) cache.emplace(g); const auto want = batch_capacity(g, pairs, opts(), per_pair, 1); const std::int64_t clean = cache ? cache->stats().entries : 0; @@ -531,7 +694,7 @@ long sweep_batch(const Mode& m, const Graph& g, std::span wo long sweep_sensitivity(const Mode& m, const Graph& g, std::span workers_set, long step, const Options& o = {}) { std::optional cache; - const auto opts = [&] { return QueryOptions {m.cfg, o.elig, cache ? &*cache : nullptr}; }; + const auto opts = [&] { return query_of(m, o.elig, cache ? &*cache : nullptr); }; if (o.cache) cache.emplace(g); const auto want = sensitivity(g, m.sources, m.destinations, opts(), 1); const std::int64_t clean = cache ? cache->stats().entries : 0; @@ -617,7 +780,7 @@ TEST(PolicyFaults, EvaluatorsLeaveNoPoisonedScratch) { const Eligibility no_cross = without_cross(*g); const std::int32_t one[] = {1}; const std::vector exhaustive_sensitivity = {"costonly eb", "capacityaware weighted diminishing", "global", - "pinned eb cohort"}; + "pinned eb split routes", "pinned tunnels lossy"}; int swept_sensitivity = 0; long attempts = 0; for (const auto& m : modes(*g)) { @@ -629,7 +792,7 @@ TEST(PolicyFaults, EvaluatorsLeaveNoPoisonedScratch) { const std::string name = m.name + " capacity" + o.name; std::optional cache; const auto copts = [&] { - return QueryOptions {m.cfg, o.elig, cache ? &*cache : nullptr, OutputOptions {true, true, true}}; + return query_of(m, o.elig, cache ? &*cache : nullptr, OutputOptions {true, true, true}); }; if (o.cache) cache.emplace(*g); const auto want = capacity(*g, m.sources, m.destinations, copts()); @@ -688,7 +851,7 @@ TEST(PolicyFaults, EvaluatorsLeaveNoPoisonedScratch) { } } RecordProperty("allocation_attempts", std::to_string(attempts)); - EXPECT_EQ(swept_sensitivity, 4 * 2 + 1); // four modes with two option sets, CostOnly's with three + EXPECT_EQ(swept_sensitivity, 4 * 2 + 3); // four modes with two option sets, CostOnly's with three } TEST(PolicyFaults, BatchWorkersFailWithoutTerminating) { @@ -724,13 +887,14 @@ TEST(PolicyFaults, RemovalAndReleaseNeverAllocate) { // The working-residual overlay and the per-source scratch grow with the graph. Each attempt runs // on a new thread (its scratch empty) that first places on a 3-node graph, then the swept call on // a larger one, so every allocation of that call fails once while its scratch grows from the -// small size; the failed call changes nothing, and a clean retry on the same graph (or the call -// itself, once no failure is reached) gives the reference call's result, every output included, -// ledger and epoch (ASan reports any access outside a partly grown array). The same call on a new -// thread whose scratch has first grown to the large graph allocates less: the sweep reached the -// growth. -TEST(PolicyFaults, ScratchGrowthFailureLeavesNothingHalfGrown) { - const FlowPolicyConfig cfg = cost_only_config(); +// small size; the failed call changes nothing, and a clean retry on the same thread and graph (or +// the call itself, once no failure is reached) gives the reference call's result, every output +// included, ledger and epoch (ASan reports any access outside a partly grown array). The same call +// on a new thread whose scratch has first grown to the large graph allocates less: the sweep +// reached the growth. `config` gives the policy's configuration on a graph. +void expect_scratch_growth_failure_leaves_nothing_half_grown( + const std::string& name, const std::function& config) { + SCOPED_TRACE(name); const OutputOptions all {true, true, true}; const auto small = chain_graph(3, 5); const auto large = chain_graph(3000, 5); @@ -741,22 +905,22 @@ TEST(PolicyFaults, ScratchGrowthFailureLeavesNothingHalfGrown) { Epoch want_epoch; { FlowLedger fg(large); - FlowPolicy p(fg, std::vector {0}, std::vector {n - 1}, cfg); + FlowPolicy p(fg, std::vector {0}, std::vector {n - 1}, config(*large)); want = p.place(2, all); want_state = ledger_state(fg); want_epoch = epoch(p); } ASSERT_EQ(want.placed, 2); // the whole chain carries the request: the comparison is not of zeros sweep_scratch_growth( - "placement", + name + " placement", [&] { FlowLedger fg(small); - FlowPolicy p(fg, std::vector {0}, std::vector {2}, cfg); + FlowPolicy p(fg, std::vector {0}, std::vector {2}, config(*small)); EXPECT_EQ(p.place(2, all).placed, 2); }, [&](long at, const std::string& w) { FlowLedger fg(large); - FlowPolicy p(fg, std::vector {0}, std::vector {n - 1}, cfg); + FlowPolicy p(fg, std::vector {0}, std::vector {n - 1}, config(*large)); const LedgerState before = ledger_state(fg); const Epoch before_epoch = epoch(p); PlacementResult got; @@ -774,7 +938,7 @@ TEST(PolicyFaults, ScratchGrowthFailureLeavesNothingHalfGrown) { }, [&] { FlowLedger fg(large); - FlowPolicy p(fg, std::vector {0}, std::vector {n - 1}, cfg); + FlowPolicy p(fg, std::vector {0}, std::vector {n - 1}, config(*large)); (void)p.place(2, all); // the scratch grows to the large graph p.remove(); long warm = 0; @@ -788,6 +952,24 @@ TEST(PolicyFaults, ScratchGrowthFailureLeavesNothingHalfGrown) { }); } +// A split kernel's placement (CostOnly EqualBalanced): the working residual and the kernels' +// scratch. +TEST(PolicyFaults, ScratchGrowthFailureLeavesNothingHalfGrown) { + expect_scratch_growth_failure_leaves_nothing_half_grown("costonly eb", + [](const Graph&) { return cost_only_config(); }); +} + +// A controller's placement also grows the decomposition's per-thread scratch (cursors, range ends, +// destination and slot marks, each grown on its own): Global over every edge (positions are +// EdgeIds) and Global on a support (positions index the support). +TEST(PolicyFaults, ControllerScratchGrowthFailureLeavesNothingHalfGrown) { + expect_scratch_growth_failure_leaves_nothing_half_grown("global", [](const Graph&) { return global_config(); }); + if (::testing::Test::HasFailure()) return; + expect_scratch_growth_failure_leaves_nothing_half_grown("global support", [](const Graph& g) { + return FlowPolicyConfig {.routing = Global {all_edges(g)}}; + }); +} + TEST(PolicyFaults, FrozenLookupsFailWithoutCounting) { // A frozen lookup allocates a key only for roots that are not already a sorted set (a sorted set // is borrowed: nothing), and a frozen miss builds the DagCacheMiss message, all before counting: @@ -938,7 +1120,7 @@ TEST(PolicyFaults, FrozenStatisticsFollowThePublicCall) { const auto before = cache.stats(); FlowLedger fg(g); EXPECT_THROW(FlowPolicy(fg, m.sources, m.destinations, m.cfg, nullptr, &cache), std::invalid_argument) << m.name; - EXPECT_THROW((void)capacity(*g, m.sources, m.destinations, QueryOptions {m.cfg, nullptr, &cache}), + EXPECT_THROW((void)capacity(*g, m.sources, m.destinations, query_of(m, nullptr, &cache)), std::invalid_argument) << m.name; expect_stats(cache.stats(), before, m.name + " rejected"); @@ -1055,7 +1237,7 @@ TEST(PolicyFaults, WorkersSharingAFrozenCacheFailCleanly) { for (const auto& [s, t] : pairs) (void)cache.lookup(*g, t, Direction::Reverse, nullptr); const auto entries = cache.stats().entries; cache.freeze(); - const auto want = batch_capacity(*g, pairs, QueryOptions {m.cfg}, {}, 1); + const auto want = batch_capacity(*g, pairs, query_of(m), {}, 1); const QueryOptions shared {m.cfg, nullptr, &cache}; for (const std::int32_t workers : {2, 4}) { for (const bool in_workers : {false, true}) { @@ -1081,7 +1263,7 @@ TEST(PolicyFaults, WorkersSharingAFrozenCacheFailCleanly) { return w.substr(0, w.find(", Eligibility uid ")); }; const auto costonly_sensitivity = [&](std::int32_t w) { - (void)sensitivity(*g, m.sources, m.destinations, QueryOptions {m.cfg, nullptr, &cache}, w); + (void)sensitivity(*g, m.sources, m.destinations, query_of(m, nullptr, &cache), w); }; std::string want_miss; try { diff --git a/tests/cpp/flow_policy_fixture_tests.cpp b/tests/cpp/flow_policy_fixture_tests.cpp index 0f797c8..6ff423c 100644 --- a/tests/cpp/flow_policy_fixture_tests.cpp +++ b/tests/cpp/flow_policy_fixture_tests.cpp @@ -1,4 +1,4 @@ -// The 59 fixtures of the independent reference replayed through FlowPolicy. +// The 55 fixtures of the independent reference replayed through FlowPolicy. // // tests/data/policy_fixtures.json was exported from the independent reference (its // frozen copy, the exporter, the regeneration check and the meaning of the data's historical @@ -8,14 +8,14 @@ // the demand's state, the rows per source, the total cost, the cost curve, the requested outputs), // its trace (the reference's keys), // the ledger after it (allocations, residuals, every record field, next FlowId, owners) and the -// policy state (roster, requested, +inf, placed demand, usable bundles, per source the flows' +// policy state (roster, requested, +inf, placed demand, per source the flows' // ids, routes, T, deliveries, allocations, members and weights). An operation the reference // rejects must throw std::invalid_argument here too (the messages differ); any other exception // is a failure. Normalised on both sides: the T_max probe // counts, the flow core's operation counters and ledger uids. The trace and the creation cap need // the private hooks (NETGRAPH_CORE_PRIVATE_HOOKS): without them, in the shipped configuration, the -// replay compares everything but the trace on the 58 fixtures that keep the default cap, and the -// corruption test corrupts what that replay compares: every section but the trace, in those 58 +// replay compares everything but the trace on the 54 fixtures that keep the default cap, and the +// corruption test corrupts what that replay compares: every section but the trace, in those 54 // fixtures. #include @@ -285,7 +285,7 @@ const J& data() { TEST(PolicyFixtures, TheDataHoldsEveryReferenceFixture) { const J& d = data(); EXPECT_EQ(d.at("format").s, "p2-fixtures/1"); - EXPECT_EQ(d.at("fixtures").a.size(), 59U); + EXPECT_EQ(d.at("fixtures").a.size(), 55U); } namespace { @@ -504,15 +504,14 @@ J policy_json(const FlowPolicy& policy) { const bool lossy = pe.config.admission == Admission::Lossy; J j = J::obj(); j.set("roster", ints(pe.roster)); - j.set("requested", J::integer(wide(pe.requested))); - j.set("infinite", J::boolean(pe.infinite)); + j.set("requested", J::integer(wide(pe.epoch.requested))); + j.set("infinite", J::boolean(pe.epoch.infinite)); j.set("placed_demand", J::integer(policy.placed_demand())); - j.set("usable", J::integer(policy.usable_bundles())); J cohorts = J::arr(); for (std::size_t i = 0; i < pe.roster.size(); ++i) { - if (pe.cohorts[i].empty()) continue; + if (pe.epoch.cohorts[i].empty()) continue; J flows = J::arr(); - for (const auto& s : pe.cohorts[i]) { + for (const auto& s : pe.epoch.cohorts[i]) { const FlowRecord& rec = LedgerAccess::live(pe.fg, s.id); std::vector route; std::vector members; @@ -623,11 +622,9 @@ FlowPolicyConfig config_of(const Graph& g, const J& c) { const std::string kind = r.at("kind").s; Routing routing = CostOnly {}; if (kind == "Global") { - routing = Global {}; - } else if (kind == "Pinned") { - Pinned p; - for (const auto& b : r.at("bundles").a) p.bundles.push_back(test::dag_of(g, int32s(b))); - routing = std::move(p); + Global gl; + if (const J* support = r.get("support")) gl.support = test::dag_of(g, int32s(*support)); + routing = gl; } else if (kind == "CapacityAware") { CapacityAware ca; ca.flow_count = static_cast(r.at("flow_count").int64()); @@ -672,6 +669,12 @@ FlowPolicyConfig config_of(const Graph& g, const J& c) { {"Headroom", EdgePriority::Headroom}}); out.selection = PathSelection(tie, prio, sel.at("multipath").b, sel.at("multi_edge").b); } + if (const J* w = c.get("weights")) { + out.weights = named("weight basis", w->s, + {{"Capacity", WeightBasis::Capacity}, + {"Explicit", WeightBasis::Explicit}, + {"ResidualSnapshot", WeightBasis::ResidualSnapshot}}); + } return out; } @@ -933,8 +936,8 @@ TEST(PolicyFixtures, EveryFixtureReplaysIdentically) { for (const auto& f : fails) ADD_FAILURE() << f; } // With the hooks every fixture; without them all but the one that lowers the creation cap. - EXPECT_EQ(replayed, detail::kTraced ? 59U : 58U); - EXPECT_GT(sections, 1000U); + EXPECT_EQ(replayed, detail::kTraced ? 55U : 54U); + EXPECT_EQ(sections, detail::kTraced ? 1096U : 864U); // the data's count, not vacuous EXPECT_EQ(compared, sections); // every expectation was compared, none skipped } @@ -1033,7 +1036,7 @@ void expect_every_other_clause_reported() { corrupt(*first); EXPECT_TRUE(reported(reordered, name + ": the engine ranks the edges differently")) << name; } - EXPECT_EQ(exercised, detail::kTraced ? 59U : 58U); + EXPECT_EQ(exercised, detail::kTraced ? 55U : 54U); // Every section of every other operation kind and outcome in the data, and every flag. EXPECT_EQ(sections, (std::set {"copy failed ledger", "destroy ok ledger", "place failed ledger", "policy ok policy", "remove ok ledger", "remove ok policy", @@ -1086,7 +1089,7 @@ void expect_every_other_clause_reported() { const auto fails = replay(fx, nullptr, [n](std::size_t at, FlowPolicy& p) { if (at != n) return; auto& engine = detail::PolicyAccess::engine(p); - engine.infinite = !engine.infinite; + engine.epoch.infinite = !engine.epoch.infinite; }); const std::string at = fx.at("name").s + " op " + std::to_string(n) + " (place)"; EXPECT_TRUE(test::has_failure(fails, at + ": the rejected call changed the policy")) << at; @@ -1259,8 +1262,8 @@ TEST(PolicyFixtures, ACorruptedExpectationFails) { } } RecordProperty("corruptions", static_cast(corrupted)); - EXPECT_EQ(fixtures, detail::kTraced ? 59U : 58U); - EXPECT_EQ(corrupted, detail::kTraced ? 1050U : 810U); + EXPECT_EQ(fixtures, detail::kTraced ? 55U : 54U); + EXPECT_EQ(corrupted, detail::kTraced ? 975U : 753U); EXPECT_GT(kinds[0], 200U); EXPECT_GT(kinds[1], 50U); EXPECT_GT(kinds[2], 50U); diff --git a/tests/cpp/flow_policy_tests.cpp b/tests/cpp/flow_policy_tests.cpp index b40c352..006eca8 100644 --- a/tests/cpp/flow_policy_tests.cpp +++ b/tests/cpp/flow_policy_tests.cpp @@ -79,8 +79,17 @@ TEST(FlowPolicyConfig, EveryRejectedCombinationBeforeBinding) { EXPECT_TRUE(detail::LedgerAccess::bound_owners(fg).empty()); }; rejects(cfg(CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossy), "MAX_FLOW requires admission=LOSSLESS"); - rejects(cfg(CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, sel(EdgeTieBreak::Deterministic, EdgePriority::Headroom)), + // CapacityAware's Weighted flows read their weights from the priority (until its tunnel form): + // Headroom is rejected there; CostOnly's weights come from its weight basis. + rejects(cfg(CapacityAware {}, FlowPlacement::Weighted, Admission::Lossless, sel(EdgeTieBreak::Deterministic, EdgePriority::Headroom)), "the Weighted kernel is rejected with priority Headroom (weights are units)"); + EXPECT_EQ(error_of([&] { + FlowPolicy p(fg, v({0}), v({3}), + cfg(CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, + sel(EdgeTieBreak::Deterministic, EdgePriority::Headroom))); + }), + ""); + fg.reset(); rejects({.routing = Global {}, .placement = FlowPlacement::MaxFlow}, "Global does not accept placement"); rejects({.routing = Global {}, .selection = PathSelection()}, "Global does not accept selection"); rejects({.routing = Global {}, .admission = Admission::Lossy}, "MAX_FLOW requires admission=LOSSLESS"); @@ -121,29 +130,17 @@ TEST(FlowPolicyConfig, EveryRejectedCombinationBeforeBinding) { ca.diminishing = DiminishingReturns {1, f}; rejects(cfg(ca, FlowPlacement::MaxFlow), std::string("diminishing fraction must be in (0, 1) (got ") + shown + ")"); } - Pinned none; - rejects(cfg(none, FlowPlacement::MaxFlow), "Pinned: an empty bundle list is rejected"); - // A null bundle, first or after a valid one: refused before it is read. - Pinned null_first; - null_first.bundles = {nullptr}; - rejects(cfg(null_first, FlowPlacement::MaxFlow), "Pinned: bundle 0 is null"); - Pinned null_second; - null_second.bundles = {dag_of(*g, {0, 2}), nullptr}; - rejects(cfg(null_second, FlowPlacement::MaxFlow), "Pinned: bundle 1 is null"); - Pinned dup; - dup.bundles = {dag_of(*g, {0, 2}), dag_of(*g, {0, 2})}; - rejects(cfg(dup, FlowPlacement::MaxFlow), "Pinned: duplicate bundle 1 (equal to bundle 0 before pruning)"); - Pinned malformed; - malformed.bundles = {dag_of(*g, {0, 3})}; - rejects(cfg(malformed, FlowPlacement::MaxFlow), "Pinned: malformed bundle 0, no src -> dst walk (src 0, dst 3)"); - Pinned ok; - ok.bundles = {dag_of(*g, {0, 2})}; - rejects(cfg(ok, FlowPlacement::MaxFlow), - "Pinned routing requires single endpoints (bundles bind one source and one destination)", {0, 1}, {3}); + // Pinned: a program of this graph whose endpoints are the policy's, and no field of a model that + // computes. + rejects({.routing = Pinned {}}, "Pinned requires a program"); + const Pinned ok = pinned_dags(*g, 0, 3, {dag_of(*g, {0, 2})}); + rejects({.routing = ok, .placement = FlowPlacement::MaxFlow}, "Pinned does not accept placement"); + rejects({.routing = ok}, "program endpoints do not match policy endpoints", {0, 1}, {3}); auto other = diamond(5, 5); - Pinned foreign; - foreign.bundles = {dag_of(*other, {0, 2})}; - rejects(cfg(foreign, FlowPlacement::MaxFlow), "foreign PredDAG: bundle built for another graph"); + rejects({.routing = pinned_dags(*other, 0, 3, {dag_of(*other, {0, 2})})}, "program belongs to another graph"); + rejects({.routing = Pinned {ok.program, std::make_shared(other->eligibility({}, std::vector {0}))}}, + "black_holes belongs to another graph"); + rejects({.routing = Global {dag_of(*other, {0, 2})}}, "support belongs to another graph"); rejects(cfg(CostOnly {}, FlowPlacement::MaxFlow), "node 3 is in both endpoint sets: sources and destinations must not overlap", {0, 3}, {3}); rejects(cfg(CostOnly {}, FlowPlacement::MaxFlow), "sources: the node set is empty", {}, {3}); @@ -210,8 +207,7 @@ TEST(FlowPolicyConfig, EnumValuesOutsideTheirEnumerationAreRejected) { tie_sel.tie_break = bad_tie; auto priority_sel = sel(); priority_sel.priority = bad_priority; - Pinned pinned; - pinned.bundles = {dag_of(*g, {0, 2})}; + const Pinned pinned = pinned_dags(*g, 0, 3, {dag_of(*g, {0, 2})}); const std::vector modes = {CostOnly {}, CapacityAware {}, Global {}, pinned}; struct Bad { std::function make; @@ -250,12 +246,8 @@ TEST(FlowPolicyConfig, EnumValuesOutsideTheirEnumerationAreRejected) { } } // The kernel check, the search and the cache's key. - EXPECT_TRUE(contains(error_of([&] { detail::check_kernel(bad_placement, Admission::Lossless, EdgePriority::Capacity); }), - "placement: 99")); - EXPECT_TRUE(contains(error_of([&] { detail::check_kernel(FlowPlacement::MaxFlow, bad_admission, EdgePriority::Capacity); }), - "admission: 99")); - EXPECT_TRUE(contains(error_of([&] { detail::check_kernel(FlowPlacement::MaxFlow, Admission::Lossless, bad_priority); }), - "priority: 99")); + EXPECT_TRUE(contains(error_of([&] { detail::check_kernel(bad_placement, Admission::Lossless); }), "placement: 99")); + EXPECT_TRUE(contains(error_of([&] { detail::check_kernel(FlowPlacement::MaxFlow, bad_admission); }), "admission: 99")); { SpfOptions o(Direction::Forward, sel()); o.direction = bad_direction; @@ -275,9 +267,9 @@ TEST(FlowPolicyConfig, EnumValuesOutsideTheirEnumerationAreRejected) { // The configuration with several defects at once: one error, the first in FlowPolicyConfig's // order: the enumeration values (placement, admission, origin, the selection's tie_break and // priority, assigned out of their enumerations), then the model's row of the matrix, its columns -// left to right (placement, origin, admission, selection), then the DagCache, then CapacityAware's -// parameters. Exact texts; the same first error at construction and at the evaluators; nothing is -// bound. +// left to right (placement, origin, admission, selection, weights with edge_weights), then the +// DagCache, then CapacityAware's parameters, then edge_weights' length and entries. Exact texts; +// the same first error at construction and at the evaluators; nothing is bound. TEST(FlowPolicyConfig, SeveralDefectsReportTheFirstInTheContractOrder) { auto g = diamond(5, 5); FlowLedger fg(g); @@ -288,6 +280,9 @@ TEST(FlowPolicyConfig, SeveralDefectsReportTheFirstInTheContractOrder) { const auto bad_origin = static_cast(95); CapacityAware zero; zero.flow_count = 0; + const Pinned pin = pinned_dags(*g, 0, 3, {dag_of(*g, {0, 2})}); + const auto weights2 = std::make_shared>(std::vector {1, 1}); + const auto too_big = std::make_shared>(std::vector {1, 1, kDomainLimit, -1}); struct Case { FlowPolicyConfig c; std::string error; @@ -319,18 +314,40 @@ TEST(FlowPolicyConfig, SeveralDefectsReportTheFirstInTheContractOrder) { {{CostOnly {}, FlowPlacement::Weighted, Admission::Lossy, sel(), Origin::Optimized}, "CostOnly with EQUAL_BALANCED or WEIGHTED requires origin=EQUAL"}, {{CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossy, sel(), Origin::Equal}, kLossyKernelError}, - {{CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, sel(EdgeTieBreak::Deterministic, EdgePriority::Headroom)}, - kHeadroomKernelError}, + // The weights column (with edge_weights), after the selection. + {{CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, sel(), std::nullopt, WeightBasis::Capacity}, + "weights require CostOnly placement=WEIGHTED"}, + {{CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossless, sel(), std::nullopt, std::nullopt, weights2}, + "edge_weights require weights=EXPLICIT"}, + {{CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, sel(), std::nullopt, WeightBasis::Explicit}, + "weights=EXPLICIT requires edge_weights"}, + {{CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, sel(), std::nullopt, WeightBasis::ResidualSnapshot, + weights2}, + "edge_weights require weights=EXPLICIT"}, + {{CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, sel(), std::nullopt, WeightBasis::Explicit, weights2}, + "edge_weights: expected 4 entries"}, + {{CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, sel(), std::nullopt, WeightBasis::Explicit, too_big}, + "edge_weights[2] must be an integer in [0, 2^62)"}, + {{Global {}, std::nullopt, Admission::Lossless, std::nullopt, std::nullopt, WeightBasis::Capacity}, + "Global does not accept weights"}, + {{Global {}, std::nullopt, Admission::Lossless, std::nullopt, std::nullopt, std::nullopt, weights2}, + "Global does not accept edge_weights"}, {{zero, std::nullopt, Admission::Lossy, sel(), Origin::Optimized}, "CapacityAware requires placement"}, {{zero, FlowPlacement::MaxFlow, Admission::Lossy, sel(), Origin::Optimized}, "T1 requires origin=EQUAL"}, {{zero, FlowPlacement::MaxFlow, Admission::Lossy, sel(), Origin::Equal}, kLossyKernelError}, {{zero, FlowPlacement::EqualBalanced, Admission::Lossy}, "CapacityAware requires admission=LOSSLESS"}, {{zero, FlowPlacement::Weighted, Admission::Lossless, sel(EdgeTieBreak::Deterministic, EdgePriority::Headroom)}, kHeadroomKernelError}, + {{zero, FlowPlacement::EqualBalanced, Admission::Lossless, sel(), std::nullopt, WeightBasis::Capacity}, + "T1 does not accept weights"}, {{zero, FlowPlacement::EqualBalanced}, "CapacityAware flow_count must be >= 1 (got 0)"}, - {{Pinned {}, std::nullopt, Admission::Lossy, std::nullopt, Origin::Equal}, "Pinned requires placement"}, - {{Pinned {}, FlowPlacement::MaxFlow, Admission::Lossy, std::nullopt, Origin::Equal}, "Pinned does not accept origin"}, - {{Pinned {}, FlowPlacement::MaxFlow, Admission::Lossy}, kLossyKernelError}, + {{pin, FlowPlacement::MaxFlow, Admission::Lossy, sel(), Origin::Equal}, "Pinned does not accept placement"}, + {{pin, std::nullopt, Admission::Lossy, sel(), Origin::Equal}, "Pinned does not accept origin"}, + {{pin, std::nullopt, Admission::Lossy, sel()}, "Pinned does not accept selection"}, + {{pin, std::nullopt, Admission::Lossy, std::nullopt, std::nullopt, WeightBasis::Capacity}, + "Pinned does not accept weights"}, + {{pin, std::nullopt, Admission::Lossy, std::nullopt, std::nullopt, std::nullopt, weights2}, + "Pinned does not accept edge_weights"}, }; for (const auto& k : cases) { EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({3}), k.c); }), k.error); @@ -349,7 +366,7 @@ TEST(FlowPolicyConfig, SeveralDefectsReportTheFirstInTheContractOrder) { {global_config(), "Global does not use DagCache"}, {{Global {}, FlowPlacement::MaxFlow}, "Global does not accept placement"}, {{CapacityAware {}, FlowPlacement::EqualBalanced}, "T1 does not use DagCache"}, - {{Pinned {}, FlowPlacement::EqualBalanced}, "Pinned does not use DagCache"}, + {{.routing = pin}, "Pinned does not use DagCache"}, }; for (const auto& k : cached) { EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({3}), k.c, nullptr, &cache); }), k.error); @@ -388,9 +405,11 @@ TEST(FlowPolicyConfig, DefaultsResolveAtThePolicy) { EXPECT_FALSE(global.placement.has_value()); EXPECT_EQ(snapshot({.routing = Global {}, .origin = Origin::Equal}).origin, Origin::Equal); EXPECT_EQ(snapshot({.routing = CapacityAware {}, .placement = FlowPlacement::EqualBalanced}).origin, Origin::Equal); - Pinned pin; - pin.bundles = {dag_of(*g, {0, 2})}; - EXPECT_FALSE(snapshot({.routing = pin, .placement = FlowPlacement::EqualBalanced}).origin.has_value()); + const auto pinned = snapshot({.routing = pinned_dags(*g, 0, 3, {dag_of(*g, {0, 2})})}); + EXPECT_FALSE(pinned.origin.has_value() || pinned.selection.has_value() || pinned.weights.has_value()); + // Weighted's absent weights resolve to Capacity; the other placements keep none. + EXPECT_EQ(snapshot({.routing = CostOnly {}, .placement = FlowPlacement::Weighted}).weights, WeightBasis::Capacity); + EXPECT_FALSE(eb.weights.has_value()); } // config() is the copy taken at construction: every field as given, and a later change of the @@ -426,69 +445,73 @@ TEST(FlowPolicyConfig, ConfigIsTheCopyTakenAtConstruction) { ASSERT_TRUE(r.diminishing.has_value()); EXPECT_EQ(r.diminishing->window, 2); EXPECT_EQ(r.diminishing->fraction, 0.25); - // Pinned: the supplied bundles themselves, in supply order. - Pinned pin; - pin.bundles = {dag_of(*g, {1, 3}), dag_of(*g, {0, 2})}; + // Pinned: the supplied program and black holes themselves (shared, never copied); explicit + // weights: the configuration's one array, shared by every policy built from it. + const auto dark = std::make_shared(g->eligibility({}, std::vector {1})); + const Pinned pin {pinned_dags(*g, 0, 3, {dag_of(*g, {1, 3}), dag_of(*g, {0, 2})}).program, dark}; FlowLedger fg2(g); - FlowPolicy q(fg2, v({0}), v({3}), cfg(pin, FlowPlacement::MaxFlow)); + FlowPolicy q(fg2, v({0}), v({3}), {.routing = pin}); ASSERT_TRUE(std::holds_alternative(q.config().routing)); - const auto& kept = std::get(q.config().routing).bundles; - ASSERT_EQ(kept.size(), 2U); - EXPECT_EQ(kept[0].get(), pin.bundles[0].get()); - EXPECT_EQ(kept[1].get(), pin.bundles[1].get()); + EXPECT_EQ(std::get(q.config().routing).program.get(), pin.program.get()); + EXPECT_EQ(std::get(q.config().routing).black_holes.get(), dark.get()); + const FlowPolicyConfig explicit_weights {CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, std::nullopt, + std::nullopt, WeightBasis::Explicit, + std::make_shared>(std::vector {1, 2, 3, 4})}; + FlowPolicy a(fg2, v({0}), v({3}), explicit_weights); + FlowPolicy b(fg2, v({0}), v({3}), explicit_weights); + EXPECT_EQ(a.config().edge_weights.get(), explicit_weights.edge_weights.get()); + EXPECT_EQ(b.config().edge_weights.get(), explicit_weights.edge_weights.get()); } -// Global and Pinned read only the selection's priority, and only with the Weighted kernel (its -// membership and weights): every other selection gives the same placement. Two parallel edges -// 0 -> 1 of 4 units (EdgeIds 0 and 1), a third party holding 3 units of edge 0. Pinned Weighted -// on both edges, request 5: with priority Capacity the weights are 4 : 4, so the flow is at most -// 1 + 1 = 2 (edge 0 has 1 unit left); with priority Residual they are the residuals 1 : 4 at -// creation, so it carries 1 + 4 = 5. Global (MaxFlow only), Pinned MaxFlow and Pinned -// EqualBalanced place the same under every selection. Control: CostOnly reads the selection (a -// single path, multipath = false, carries less than the two-edge DAG). -TEST(FlowPolicyConfig, GlobalAndPinnedReadOnlyTheWeightedPriority) { +// The selection's priority is no weight. Two parallel edges 0 -> 1 of 4 units (EdgeIds 0 and 1), +// a third party holding 3 units of edge 0, request 5. CostOnly Weighted over both edges: its +// weight basis decides (Capacity 4 : 4 carries at most 1 + 1 = 2, edge 0 having 1 unit left; a +// residual snapshot 1 : 4 at preparation carries 1 + 4 = 5) under every tie break and priority +// that keeps both edges. Global, Global on the two edges as its support, and Pinned over one split +// route of both edges (EqualBalanced 2; Weighted with capacity weights 2, with the snapshot 5) take +// no selection. Control: CostOnly reads the selection (a single path, multipath = false, carries +// less than the two-edge DAG). +TEST(FlowPolicyConfig, ThePriorityIsNoWeight) { auto g = shared(make_graph(2, {{0, 1, 4, 1}, {0, 1, 4, 1}})); - std::vector all; - for (auto t : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { - for (auto p : {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}) { - for (bool mp : {true, false}) { - for (bool me : {true, false}) all.push_back(sel(t, p, mp, me)); - } - } - } using Edges = std::vector>; // The placement of request 5 after the third party: (placed, the policy's records' edges). - auto run = [&](const Routing& routing, FlowPlacement k, const PathSelection& s) { + auto run = [&](const FlowPolicyConfig& c) { FlowLedger fg(g); - Pinned third; - third.bundles = {dag_of(*g, {0})}; - FlowPolicy other(fg, v({0}), v({1}), cfg(third, FlowPlacement::MaxFlow)); + FlowPolicy other(fg, v({0}), v({1}), FlowPolicyConfig {.routing = Global {dag_of(*g, {0})}}); EXPECT_EQ(other.place(3).placed, 3); - FlowPolicy p(fg, v({0}), v({1}), cfg(routing, k, Admission::Lossless, s)); + FlowPolicy p(fg, v({0}), v({1}), c); const auto r = p.place(5); std::vector edges; for (const auto& rec : p.records()) edges.push_back(rec.edges); return std::pair {r.placed, edges}; }; - Pinned both; - both.bundles = {dag_of(*g, {0, 1})}; - for (const auto& [name, routing, k] : std::vector> { - {"Global", Global {}, FlowPlacement::MaxFlow}, - {"Pinned MaxFlow", both, FlowPlacement::MaxFlow}, - {"Pinned EqualBalanced", both, FlowPlacement::EqualBalanced}}) { - const auto want = run(routing, k, all.front()); - EXPECT_EQ(want.first, k == FlowPlacement::EqualBalanced ? 2 : 5) << name; - for (const auto& s : all) EXPECT_EQ(run(routing, k, s), want) << name; - } - for (const auto& s : all) { - if (s.priority == EdgePriority::Headroom) continue; // rejected with Weighted - const bool residual = s.priority == EdgePriority::Residual; - const auto got = run(both, FlowPlacement::Weighted, s); - EXPECT_EQ(got.first, residual ? 5 : 2); - EXPECT_EQ(got.second, (std::vector {residual ? Edges {{0, 1}, {1, 4}} : Edges {{0, 1}, {1, 1}}})); + for (auto t : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { + for (auto pr : {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}) { + for (auto basis : {WeightBasis::Capacity, WeightBasis::ResidualSnapshot}) { + const bool snapshot = basis == WeightBasis::ResidualSnapshot; + const auto got = run({CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, sel(t, pr), std::nullopt, basis}); + EXPECT_EQ(got.first, snapshot ? 5 : 2); + EXPECT_EQ(got.second, (std::vector {snapshot ? Edges {{0, 1}, {1, 4}} : Edges {{0, 1}, {1, 1}}})); + } + } } - EXPECT_EQ(run(CostOnly {}, FlowPlacement::MaxFlow, sel()).first, 5); - EXPECT_EQ(run(CostOnly {}, FlowPlacement::MaxFlow, sel(EdgeTieBreak::Deterministic, EdgePriority::Capacity, false)).first, + const auto both = dag_of(*g, {0, 1}); + EXPECT_EQ(run({.routing = Global {}}).first, 5); + EXPECT_EQ(run({.routing = Global {both}}).first, 5); + EXPECT_EQ(run({.routing = pinned_dags(*g, 0, 1, {both})}).first, 2); + EXPECT_EQ(run({.routing = pinned_dags(*g, 0, 1, {both}, FlowPlacement::Weighted)}).first, 2); + RouteOptions snap; + snap.placement = FlowPlacement::Weighted; + snap.weights = WeightBasis::ResidualSnapshot; + snap.residual = std::vector {1, 4}; + const NodeId s0[1] = {0}; + const NodeId d1[1] = {1}; + const Route route[1] = {Route {0, both, 1}}; + EXPECT_EQ(run({.routing = Pinned {ForwardingProgram::from_routes(*g, s0, d1, route, snap), nullptr}}).first, 5); + EXPECT_EQ(run(cfg(CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossless, sel())).first, 5); + EXPECT_EQ(run(cfg(CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossless, + sel(EdgeTieBreak::Deterministic, EdgePriority::Capacity, false))) + .first, 1); } @@ -527,15 +550,15 @@ std::map delivered_by_source(const FlowPolicy& p) { // 2^127 case starts from a requested total set just below the limit. TEST(FlowPolicyRequests, RejectedRequestsLeaveThePolicyAndTheLedger) { auto g = diamond(5, 3, 2); - Pinned pinned; - pinned.bundles = {dag_of(*g, {0, 2}), dag_of(*g, {1, 3})}; + const Pinned pinned = pinned_dags(*g, 0, 3, {dag_of(*g, {0, 2}), dag_of(*g, {1, 3})}); CapacityAware ca; ca.max_path_cost = Absolute {4}; const std::vector> configs = { {"CostOnly", cost_only_config()}, {"CapacityAware", cfg(ca, FlowPlacement::EqualBalanced)}, {"Global", global_config()}, - {"Pinned", cfg(pinned, FlowPlacement::MaxFlow)}, + {"Pinned", {.routing = pinned}}, + {"Global support", {.routing = Global {dag_of(*g, {0, 2})}}}, {"CostOnly Lossy", cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy)}}; const std::string range_error = "offer must be an integer in [0, 2^62) or permitted +inf"; const std::string after_inf = "finite placement after infinite placement requires a new epoch"; @@ -548,7 +571,7 @@ TEST(FlowPolicyRequests, RejectedRequestsLeaveThePolicyAndTheLedger) { EXPECT_EQ(error_of([&] { (void)p.place(kDomainLimit); }), range_error) << name; expect_same(state_of(p, fg), finite, name); // Just below 2^127: 5 more would reach it, 4 would not. - auto& requested = detail::PolicyAccess::engine(p).requested; + auto& requested = detail::PolicyAccess::engine(p).epoch.requested; const Counter128 saved = requested; requested = Counter128 {(std::uint64_t {1} << 63) - 1, std::numeric_limits::max() - 4}; const auto near_limit = state_of(p, fg); @@ -653,7 +676,7 @@ TEST(FlowPolicyRequests, RoundRobinSharesFollowTheCumulativeRequest) { for (const auto& [offered, to] : {std::pair {Counter128 {1, 0}, NodeId {2}}, std::pair {Counter128 {1, 5}, NodeId {0}}}) { FlowLedger fg(g); FlowPolicy p(fg, sources(7), v({7}), cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy)); - detail::PolicyAccess::engine(p).offered = offered; + detail::PolicyAccess::engine(p).epoch.offered = offered; EXPECT_EQ(p.place(1).placed, 1) << offered.lo; for (const auto& [s, x] : delivered_by_source(p)) EXPECT_EQ(x, s == to ? 1 : 0) << offered.lo << " source " << s; EXPECT_EQ(delivered_by_source(p).at(to), 1) << offered.lo; @@ -664,8 +687,7 @@ TEST(FlowPolicyOutputs, OwnAllocationLedgerResidualBottleneckAndGlobalCut) { auto g = diamond(5, 3); FlowLedger fg(g); // A third party holds one unit of the first route. - Pinned third; - third.bundles = {dag_of(*g, {0, 2})}; + const Global third {dag_of(*g, {0, 2})}; FlowPolicy other(fg, v({0}), v({3}), cfg(third, FlowPlacement::MaxFlow)); ASSERT_EQ(other.place(1).placed, 1); FlowPolicy p(fg, v({0}), v({3}), cost_only_config()); @@ -726,8 +748,7 @@ TEST(FlowPolicyOutputs, BottleneckIsTheLedgersForThePolicysSourcesAndEligibility const auto id = id_of_input(*g); const EdgeId a = id[0], x = id[1], y = id[2]; FlowLedger fg(g); - Pinned third; - third.bundles = {dag_of(*g, {x, y})}; + const Global third {dag_of(*g, {x, y})}; FlowPolicy other(fg, v({0}), v({3}), cfg(third, FlowPlacement::MaxFlow)); ASSERT_EQ(other.place(1).placed, 1); const auto el = g->eligibility({}, std::vector {x}); @@ -770,8 +791,7 @@ TEST(FlowPolicyGlobal, EmptyRosterReportsAnEmptyCurveAndAnEmptyCut) { TEST(FlowPolicyGlobal, ARosterWithoutFlowIsExhausted) { auto g = shared(make_graph(2, {{0, 1, 2, 1}})); FlowLedger fg(g); - Pinned edge; - edge.bundles = {dag_of(*g, {0})}; + const Global edge {dag_of(*g, {0})}; auto third = std::make_unique(fg, v({0}), v({1}), cfg(edge, FlowPlacement::MaxFlow)); ASSERT_EQ(third->place(2).placed, 2); FlowPolicy p(fg, v({0}), v({1}), global_config()); @@ -808,13 +828,13 @@ TEST(FlowPolicyGlobal, ZeroCallReportsTheCumulativeCurve) { auto r = p.place(5); EXPECT_EQ(*r.cost_distribution, (Curve {{2, 4}, {7, 1}})); const auto allocated = fg.allocated(); - const auto requested = detail::PolicyAccess::engine(p).requested; + const auto requested = detail::PolicyAccess::engine(p).epoch.requested; z = p.place(0, OutputOptions {true, true, true, true}); EXPECT_EQ(z.placed, 0); EXPECT_EQ(*z.cost_distribution, *r.cost_distribution); EXPECT_FALSE(z.min_cut.has_value()); EXPECT_EQ(fg.allocated(), allocated); - EXPECT_EQ(detail::PolicyAccess::engine(p).requested, requested); + EXPECT_EQ(detail::PolicyAccess::engine(p).epoch.requested, requested); r = p.place(1); // cumulative 6: the solve's curve on V = W + own EXPECT_EQ(*r.cost_distribution, (Curve {{2, 4}, {7, 2}})); z = p.place(0); @@ -1117,21 +1137,19 @@ TEST(FlowPolicyRecords, BundlesAreSharedOrPruned) { auto g = diamond(5, 5); FlowLedger fg(g); const auto whole = dag_of(*g, {0, 1, 2, 3}); - Pinned pin; - pin.bundles = {whole}; - FlowPolicy p(fg, v({0}), v({3}), cfg(pin, FlowPlacement::EqualBalanced)); + const Pinned pin = pinned_dags(*g, 0, 3, {whole}); + FlowPolicy p(fg, v({0}), v({3}), {.routing = pin}); (void)p.place(2); - // An unchanged supplied bundle is shared by the record (no copy). + // An unchanged supplied split route is shared by the record (no copy). EXPECT_EQ(p.records().front().bundle.get(), whole.get()); - // A pruned bundle is a new DAG of the usable route. + // A route pruned by the replay's mask is a new DAG of what remains. const auto el = g->eligibility({}, std::vector {2}); FlowLedger fg2(g); - FlowPolicy q(fg2, v({0}), v({3}), cfg(pin, FlowPlacement::EqualBalanced), &el); + FlowPolicy q(fg2, v({0}), v({3}), {.routing = pin}, &el); (void)q.place(2); const auto rec = q.records().front(); EXPECT_NE(rec.bundle.get(), whole.get()); EXPECT_EQ(ascending_edges(*rec.bundle), (std::vector {1, 3})); - EXPECT_EQ(q.usable_bundles(), 1); // CostOnly: a source whose route is the whole cached support shares it. DagCache cache(*g); FlowLedger fg3(g); @@ -1240,8 +1258,7 @@ TEST(FlowPolicyOutcomes, TheCallTakesTheHighestUnservedOutcome) { FlowLedger fg(g); std::optional third; if (c.occupied) { - Pinned edge; - edge.bundles = {dag_of(*g, {0})}; + const Global edge {dag_of(*g, {0})}; third.emplace(fg, v({0}), v({2}), cfg(edge, FlowPlacement::MaxFlow)); ASSERT_EQ(third->place(5).placed, 5) << c.name; } @@ -1370,8 +1387,7 @@ TEST(CapacityAwareGates, StretchBaselineIsTheStaticShortestCost) { const std::string where = std::string(kernel == FlowPlacement::MaxFlow ? "MaxFlow" : "EqualBalanced") + " Stretch " + std::to_string(f); FlowLedger fg(g); - Pinned third; - third.bundles = {dag_of(*g, {inv[0], inv[1]})}; + const Global third {dag_of(*g, {inv[0], inv[1]})}; FlowPolicy other(fg, v({0}), v({4}), cfg(third, FlowPlacement::MaxFlow)); ASSERT_EQ(other.place(2).placed, 2) << where; FlowPolicy p(fg, v({0}), v({4}), cfg(ceiling(Stretch {f}), kernel)); @@ -1512,39 +1528,39 @@ TEST(PredDAGStorage, ABundleCostsItsEntriesNotTheGraph) { EXPECT_EQ(off[static_cast(n)], 2); EXPECT_TRUE(PredDAG::from_csr(*g, off, dag->parents(), dag->via_edges()) == *dag); FlowLedger fg(g); - Pinned pin; - pin.bundles = {dag}; - FlowPolicy p(fg, v({n - 3}), v({n - 1}), cfg(pin, FlowPlacement::MaxFlow)); + FlowPolicy p(fg, v({n - 3}), v({n - 1}), {.routing = pinned_dags(*g, n - 3, n - 1, {dag})}); EXPECT_EQ(p.place(3).placed, 3); EXPECT_LT(detail::PredDAGBuilder::payload_bytes(*p.records().front().bundle), 128U); - // The record bundles the engine builds itself are sparse too: a supplied bundle pruned by an - // Eligibility (the bypass n - 3 -> n - 1 excluded), and the CostOnly and Global routes. + // The record bundles the engine builds itself are sparse too: a supplied split route pruned by + // the replay's mask (the bypass n - 3 -> n - 1 excluded), Global's used edges on a support, and + // the CostOnly and Global routes. auto h = shared(make_graph(n, {{n - 3, n - 2, 4, 1}, {n - 2, n - 1, 4, 1}, {n - 3, n - 1, 4, 5}})); const auto inv = id_of_input(*h); - Pinned all; - all.bundles = {dag_of(*h, {inv[0], inv[1], inv[2]})}; + const auto three = dag_of(*h, {inv[0], inv[1], inv[2]}); const auto el = h->eligibility({}, std::vector {inv[2]}); const std::vector> built = { - {"pruned Pinned", cfg(all, FlowPlacement::MaxFlow)}, {"CostOnly", cost_only_config()}, {"Global", global_config()}}; + {"pruned Pinned", {.routing = pinned_dags(*h, n - 3, n - 1, {three})}}, + {"Global support", {.routing = Global {dag_of(*h, {inv[0], inv[1]})}}}, + {"CostOnly", cost_only_config()}, + {"Global", global_config()}}; for (const auto& [name, c] : built) { FlowLedger fh(h); FlowPolicy q(fh, v({n - 3}), v({n - 1}), c, std::holds_alternative(c.routing) ? &el : nullptr); EXPECT_EQ(q.place(3).placed, 3) << name; const auto bundle = q.records().front().bundle; - EXPECT_NE(bundle.get(), all.bundles[0].get()) << name; + EXPECT_NE(bundle.get(), three.get()) << name; EXPECT_EQ(ascending_edges(*bundle), (std::vector {inv[0], inv[1]})) << name; EXPECT_LT(detail::PredDAGBuilder::payload_bytes(*bundle), 128U) << name; } } TEST(Evaluators, CapacityIsPlaceInfOnAFreshLedger) { - // Every field of the result, in every routing model (Pinned's bundle joins the endpoints). + // Every field of the result, in every routing model (Pinned's program has the endpoints). auto g = diamond(5, 3, 2); - Pinned pin; - pin.bundles = {dag_of(*g, {0, 2}), dag_of(*g, {1, 3})}; + const Pinned pin = pinned_dags(*g, 0, 3, {dag_of(*g, {0, 2}), dag_of(*g, {1, 3})}); for (const auto& c : {global_config(), cost_only_config(), cfg(CapacityAware {.flow_count = 2, .max_flow_count = 4}, FlowPlacement::MaxFlow), - cfg(pin, FlowPlacement::EqualBalanced)}) { + FlowPolicyConfig {.routing = pin}, FlowPolicyConfig {.routing = Global {dag_of(*g, {0, 2})}}}) { const auto r = capacity(*g, v({0}), v({3}), QueryOptions {c, nullptr, nullptr, OutputOptions {true, true, true}}); FlowLedger fg(g); FlowPolicy p(fg, v({0}), v({3}), c); @@ -1596,10 +1612,9 @@ TEST(Evaluators, BatchOrderIntersectionsExceptionsAndWorkers) { const auto foreign = other->eligibility({}, std::vector {0}); const std::vector per_foreign = {nullptr, &foreign, nullptr, nullptr}; EXPECT_TRUE(contains(error_of([&] { (void)batch_capacity(*g, pairs, opts, per_foreign, 1); }), "foreign")); - Pinned pin; - pin.bundles = {dag_of(*g, {0, 2})}; - EXPECT_TRUE(contains(error_of([&] { (void)batch_capacity(*g, pairs, QueryOptions {cfg(pin, FlowPlacement::MaxFlow)}, {}, 1); }), - "Pinned")); + const Pinned pin = pinned_dags(*g, 0, 3, {dag_of(*g, {0, 2})}); + EXPECT_EQ(error_of([&] { (void)batch_capacity(*g, pairs, QueryOptions {{.routing = pin}}, {}, 1); }), + "batch_capacity does not accept Pinned"); EXPECT_TRUE(contains(error_of([&] { (void)batch_capacity(*g, pairs, opts, per, 0); }), "workers")); DagCache cache(*g); const QueryOptions with_cache {cost_only_config(), nullptr, &cache}; @@ -1610,13 +1625,11 @@ TEST(Evaluators, BatchOrderIntersectionsExceptionsAndWorkers) { EXPECT_EQ(cached[0].placed, 7); // CostOnly EB over routes of 5 and 3: [4, 3] (odd unit to the lower id) // The argument checks in their documented order, all before the pairs: with every defect // present the first is reported, and with that one removed the next. Pinned also carries a - // configuration error (Lossy admission with the MaxFlow kernel); pair 2 has a destination out of - // range. The building cache is untouched: no lookup ran. + // configuration error (a placement); pair 2 has a destination out of range. The building cache + // is untouched: no lookup ran. DagCache foreign_cache(*other); DagCache building(*g); - Pinned lossy_pin; - lossy_pin.bundles = {dag_of(*g, {0, 2})}; - const FlowPolicyConfig pinned_bad = cfg(lossy_pin, FlowPlacement::MaxFlow, Admission::Lossy); + const FlowPolicyConfig pinned_bad {.routing = pin, .placement = FlowPlacement::MaxFlow}; const FlowPolicyConfig config_bad = cfg(CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossy); bad = pairs; bad[2].second = {9}; @@ -1632,8 +1645,7 @@ TEST(Evaluators, BatchOrderIntersectionsExceptionsAndWorkers) { EXPECT_EQ(first_error(pinned_bad, nullptr, &building, short_per, 2), "a supplied building DagCache has one writer: it is rejected unless workers == 1 (got workers = 2; a " "frozen cache may be shared by every worker)"); - EXPECT_EQ(first_error(pinned_bad, nullptr, &building, short_per, 1), - "Pinned routing is rejected in batch_capacity (bundles bind their endpoints)"); + EXPECT_EQ(first_error(pinned_bad, nullptr, &building, short_per, 1), "batch_capacity does not accept Pinned"); EXPECT_EQ(first_error(config_bad, nullptr, &building, short_per, 1), kLossyKernelError); EXPECT_EQ(first_error(global_config(), nullptr, &building, short_per, 1), "Global does not use DagCache"); EXPECT_EQ(first_error(cost_only_config(), nullptr, &building, short_per, 1), "per_pair_elig has 1 entries for 4 pairs"); @@ -1731,9 +1743,9 @@ TEST(Evaluators, SensitivityEqualsTheDefinitionOnRandomGraphs) { detail::static_support(*g, std::vector {t0}, Direction::Reverse, nullptr)); const auto paths = ksp(*g, 0, t0, KspOptions(2, sel())); if (paths.size() == 2) { - Pinned pin; - pin.bundles = {support, std::make_shared(paths[1].second.to_dag())}; - trial_configs.push_back(cfg(pin, FlowPlacement::Weighted, Admission::Lossless, sel())); + trial_configs.push_back({.routing = pinned_dags(*g, 0, t0, + {support, std::make_shared(paths[1].second.to_dag())}, + FlowPlacement::Weighted)}); ++pinned_trials; } for (const auto& c : trial_configs) { @@ -1867,12 +1879,11 @@ TEST(Evaluators, SensitivityCandidatesAndSignedLosses) { // request it carries none. TEST(Evaluators, SensitivityBaselineIsCapacityWithTheRequestedOutputs) { auto g = diamond(5, 3, 2); - Pinned pin; - pin.bundles = {dag_of(*g, {0, 2}), dag_of(*g, {1, 3})}; + const Pinned pin = pinned_dags(*g, 0, 3, {dag_of(*g, {0, 2}), dag_of(*g, {1, 3})}); const OutputOptions all {true, true, true}; for (const auto& c : {global_config(), cost_only_config(), cfg(CapacityAware {.flow_count = 2, .max_flow_count = 4}, FlowPlacement::MaxFlow), - cfg(pin, FlowPlacement::EqualBalanced)}) { + FlowPolicyConfig {.routing = pin}, FlowPolicyConfig {.routing = Global {dag_of(*g, {0, 2})}}}) { const auto s = sensitivity(*g, v({0}), v({3}), QueryOptions {c, nullptr, nullptr, all}, 1); const auto want = capacity(*g, v({0}), v({3}), QueryOptions {c, nullptr, nullptr, all}); EXPECT_GT(want.placed, 0); @@ -1952,14 +1963,13 @@ TEST(Evaluators, SensitivityChecksWorkersAndCachesAsTheBatchDoes) { // any lookup and count nothing; CostOnly's baseline raises the miss of an empty frozen cache. TEST(Evaluators, SensitivityReadsTheCacheOnlyUnderCostOnly) { auto g = diamond(5, 3, 2); - Pinned pin; - pin.bundles = {dag_of(*g, {0, 2}), dag_of(*g, {1, 3})}; + const Pinned pin = pinned_dags(*g, 0, 3, {dag_of(*g, {0, 2}), dag_of(*g, {1, 3})}); DagCache empty(*g); empty.freeze(); for (const auto& [c, model] : {std::pair {global_config(), "Global"}, std::pair {cfg(CapacityAware {.flow_count = 2, .max_flow_count = 4}, FlowPlacement::MaxFlow), "T1"}, - std::pair {cfg(pin, FlowPlacement::EqualBalanced), "Pinned"}}) { + std::pair {FlowPolicyConfig {.routing = pin}, "Pinned"}}) { for (const std::int32_t workers : {1, 3}) { EXPECT_EQ(error_of([&] { (void)sensitivity(*g, v({0}), v({3}), QueryOptions {c, nullptr, &empty}, workers); diff --git a/tests/cpp/kernels_tests.cpp b/tests/cpp/kernels_tests.cpp index 3b847d8..7b99854 100644 --- a/tests/cpp/kernels_tests.cpp +++ b/tests/cpp/kernels_tests.cpp @@ -194,13 +194,17 @@ std::vector dense_input(const Graph& g, const KernelPlan& plan, const st return to_input(g, by_id); } +// A plan on `route` whose Weighted weights are the creation view `view` (ResidualSnapshot, the +// default) or the capacities (Capacity). KernelPlan plan_of(const Graph& g, FlowPlacement p, NodeId src, std::vector dsts, std::vector route, const std::vector& view, - EdgePriority prio = EdgePriority::Residual, Admission adm = Admission::Lossless) { + WeightBasis basis = WeightBasis::ResidualSnapshot, Admission adm = Admission::Lossless) { std::sort(route.begin(), route.end()); std::vector on_route; // the creation view is route-aligned for (EdgeId e : route) on_route.push_back(view[static_cast(e)]); - return make_plan(g, p, adm, prio, src, dsts, PredDAGBuilder::of_edges(g, route), on_route); + const WeightSource weights {basis, basis == WeightBasis::ResidualSnapshot ? std::span(on_route) + : std::span {}}; + return make_plan(g, p, adm, weights, src, dsts, PredDAGBuilder::of_edges(g, route)); } // The route cost of a plan's route (its record's bundle). @@ -531,7 +535,7 @@ TEST(Apportion, HamiltonHoleControl) { // The kernel's T_max on the same plan (parallel links 1, 3, 3 with Capacity weights, link 0 // held by a third party): exactly 4, allocation [0, 2, 2]. auto g = make_graph(2, {{0, 1, 1, 1}, {0, 1, 3, 1}, {0, 1, 3, 1}}); - const auto plan = plan_of(g, FlowPlacement::Weighted, 0, {1}, all_ids(g), caps(g), EdgePriority::Capacity); + const auto plan = plan_of(g, FlowPlacement::Weighted, 0, {1}, all_ids(g), caps(g), WeightBasis::Capacity); const auto view_dense = to_ids(g, std::vector {0, 3, 3}); const auto tm = t_max(plan, on_members(plan, view_dense)); EXPECT_EQ(tm.value, 4); @@ -543,64 +547,53 @@ TEST(Apportion, HamiltonHoleControl) { EXPECT_EQ(dense_input(g, plan, at3), (std::vector{0, 2, 1})); } -// The kernel entries keep their complete check: with several defects at once, one -// error, the first in the order placement, admission, priority (named "priority": a kernel entry -// takes it as a field of its own), then the combinations Lossy with MaxFlow and Weighted with -// Headroom; at check_kernel and at the three entries that call it. +// The kernel entries keep their complete check: with several defects at once, one error, the +// first in the order placement, admission, then the combination Lossy with MaxFlow; at +// check_kernel and at the two entries that call it. Weighted takes no priority (its weights come +// from a WeightSource), so Headroom is no kernel defect. TEST(Plans, KernelEntriesReportTheFirstDefectInOrder) { const auto bad_placement = static_cast(99); const auto bad_admission = static_cast(98); - const auto bad_priority = static_cast(97); struct Case { FlowPlacement k; Admission a; - EdgePriority p; std::string error; }; const std::vector cases = { - {bad_placement, bad_admission, bad_priority, "placement: 99 is not a value of FlowPlacement"}, - {bad_placement, Admission::Lossy, EdgePriority::Headroom, "placement: 99 is not a value of FlowPlacement"}, - {FlowPlacement::MaxFlow, bad_admission, bad_priority, "admission: 98 is not a value of Admission"}, - {FlowPlacement::MaxFlow, Admission::Lossy, bad_priority, "priority: 97 is not a value of EdgePriority"}, - {FlowPlacement::Weighted, Admission::Lossy, bad_priority, "priority: 97 is not a value of EdgePriority"}, - {FlowPlacement::MaxFlow, Admission::Lossy, EdgePriority::Headroom, kLossyKernelError}, - {FlowPlacement::Weighted, Admission::Lossy, EdgePriority::Headroom, kHeadroomKernelError}, - {FlowPlacement::Weighted, Admission::Lossless, EdgePriority::Headroom, kHeadroomKernelError}, + {bad_placement, bad_admission, "placement: 99 is not a value of FlowPlacement"}, + {bad_placement, Admission::Lossy, "placement: 99 is not a value of FlowPlacement"}, + {FlowPlacement::MaxFlow, bad_admission, "admission: 98 is not a value of Admission"}, + {FlowPlacement::MaxFlow, Admission::Lossy, kLossyKernelError}, + {FlowPlacement::Weighted, Admission::Lossy, ""}, + {FlowPlacement::Weighted, Admission::Lossless, ""}, }; const auto g = make_graph(3, {{0, 1, 2, 1}, {1, 2, 2, 1}}); const auto support = all_edges(g); const std::vector dsts = {2}; const PriorityValues values {&g, EdgePriority::Capacity, {}}; for (const auto& c : cases) { - EXPECT_EQ(error_of([&] { check_kernel(c.k, c.a, c.p); }), c.error); - EXPECT_EQ(error_of([&] { (void)make_plan(g, c.k, c.a, c.p, 0, dsts, *support, {}); }), c.error); - EXPECT_EQ(error_of([&] { (void)make_route_plan(g, c.k, c.a, c.p, 0, dsts, *support, nullptr); }), c.error); - PathSelection selection(EdgeTieBreak::Deterministic, EdgePriority::Capacity); - selection.priority = c.p; - EXPECT_EQ(error_of([&] { (void)cost_only_creation(g, support, 0, dsts, selection, PriorityFn::of(values), c.k, c.a); }), + EXPECT_EQ(error_of([&] { check_kernel(c.k, c.a); }), c.error); + EXPECT_EQ(error_of([&] { (void)make_plan(g, c.k, c.a, WeightSource {}, 0, dsts, *support); }), c.error); + PathSelection selection(EdgeTieBreak::Deterministic, EdgePriority::Headroom); + EXPECT_EQ(error_of([&] { + (void)cost_only_creation(g, support, 0, dsts, selection, PriorityFn::of(values), c.k, c.a, WeightSource {}); + }), c.error); } } -// validate_config's part of the kernel check: the two combinations only, -// never a domain, which the configuration has checked under its own field names just before. +// validate_config's part of the kernel check: the one combination only, never a domain, which the +// configuration has checked under its own field names just before. TEST(Plans, TheCombinationRuleAloneChecksNoDomain) { const auto bad_placement = static_cast(99); const auto bad_admission = static_cast(98); - const auto bad_priority = static_cast(97); - EXPECT_EQ(error_of([&] { check_kernel_combination(FlowPlacement::MaxFlow, Admission::Lossy, bad_priority); }), - kLossyKernelError); - EXPECT_EQ(error_of([&] { check_kernel_combination(FlowPlacement::Weighted, bad_admission, EdgePriority::Headroom); }), - kHeadroomKernelError); - EXPECT_EQ(error_of([&] { check_kernel_combination(bad_placement, bad_admission, bad_priority); }), ""); + EXPECT_EQ(error_of([&] { check_kernel_combination(FlowPlacement::MaxFlow, Admission::Lossy); }), kLossyKernelError); + EXPECT_EQ(error_of([&] { check_kernel_combination(bad_placement, bad_admission); }), ""); for (auto k : {FlowPlacement::MaxFlow, FlowPlacement::Weighted, FlowPlacement::EqualBalanced}) { for (auto a : {Admission::Lossless, Admission::Lossy}) { - for (auto pr : {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}) { - const bool rejected = (a == Admission::Lossy && k == FlowPlacement::MaxFlow) || - (k == FlowPlacement::Weighted && pr == EdgePriority::Headroom); - EXPECT_EQ(error_of([&] { check_kernel_combination(k, a, pr); }).empty(), !rejected); - EXPECT_EQ(error_of([&] { check_kernel_combination(k, a, pr); }), error_of([&] { check_kernel(k, a, pr); })); - } + const bool rejected = a == Admission::Lossy && k == FlowPlacement::MaxFlow; + EXPECT_EQ(error_of([&] { check_kernel_combination(k, a); }).empty(), !rejected); + EXPECT_EQ(error_of([&] { check_kernel_combination(k, a); }), error_of([&] { check_kernel(k, a); })); } } } @@ -618,16 +611,16 @@ TEST(Plans, MembershipByKernelAndPriority) { EXPECT_EQ(eb.members, (std::vector{0, 1, 2})); // Weighted: the edges of positive weight (residual weights on the creation view, capacity // weights on the capacities). - auto wr = plan_of(g, FlowPlacement::Weighted, 0, {1}, all_ids(g), view, EdgePriority::Residual); + auto wr = plan_of(g, FlowPlacement::Weighted, 0, {1}, all_ids(g), view, WeightBasis::ResidualSnapshot); EXPECT_EQ(wr.members, (std::vector{inv[1]})); EXPECT_EQ(wr.weights, (std::vector{4})); - auto wc = plan_of(g, FlowPlacement::Weighted, 0, {1}, all_ids(g), view, EdgePriority::Capacity); + auto wc = plan_of(g, FlowPlacement::Weighted, 0, {1}, all_ids(g), view, WeightBasis::Capacity); EXPECT_EQ(wc.members, (std::vector{inv[0], inv[1]})); EXPECT_EQ(wc.weights, (std::vector{4, 4})); // Lossy keeps its kernel's membership and weights. - for (const auto& [kernel, prio, lossless] : {std::tuple {FlowPlacement::EqualBalanced, EdgePriority::Residual, &eb}, - std::tuple {FlowPlacement::Weighted, EdgePriority::Residual, &wr}, - std::tuple {FlowPlacement::Weighted, EdgePriority::Capacity, &wc}}) { + for (const auto& [kernel, prio, lossless] : {std::tuple {FlowPlacement::EqualBalanced, WeightBasis::ResidualSnapshot, &eb}, + std::tuple {FlowPlacement::Weighted, WeightBasis::ResidualSnapshot, &wr}, + std::tuple {FlowPlacement::Weighted, WeightBasis::Capacity, &wc}}) { const auto lossy = plan_of(g, kernel, 0, {1}, all_ids(g), view, prio, Admission::Lossy); EXPECT_EQ(lossy.members, lossless->members) << static_cast(kernel) << " " << static_cast(prio); EXPECT_EQ(lossy.weights, lossless->weights) << static_cast(kernel) << " " << static_cast(prio); @@ -647,7 +640,7 @@ TEST(Plans, SplitGraphPruning) { ASSERT_TRUE(allocate(eb, 2, a)); EXPECT_EQ(dense_input(g, eb, a), (std::vector{1, 1, 1, 1, 1})); EXPECT_EQ(t_max(eb, caps(g)).value, 1); // every edge is a member: the capacities are member-aligned - auto w = plan_of(g, FlowPlacement::Weighted, 0, {3}, all_ids(g), caps(g), EdgePriority::Capacity); + auto w = plan_of(g, FlowPlacement::Weighted, 0, {3}, all_ids(g), caps(g), WeightBasis::Capacity); std::vector want = {inv[0], inv[2]}; std::sort(want.begin(), want.end()); EXPECT_EQ(w.members, want); @@ -680,8 +673,8 @@ TEST(Plans, SplitGraphEqualsTheWalkDefinition) { // allowed edges, the topological structure orders every member's tail before its head, and an // allocation conserves its total and equals the per-node reference (each node's inflow split // over its members by the kernel's rule). make_plan on the DAG of the allowed edges gives the - // same plan as make_route_plan filtering the bundle (the two entry points of the one builder), - // for every kernel, but for the route field. On the bundle itself (no Eligibility) make_plan's + // same plan as restrict_plan of the bundle's plan under the Eligibility (a replay's plan), for + // every kernel, but for the route field. On the bundle itself (no Eligibility) make_plan's // MaxFlow and EqualBalanced members are the walk definition over all the bundle's edges. std::mt19937 rng(2024); int compared = 0; @@ -752,22 +745,21 @@ TEST(Plans, SplitGraphEqualsTheWalkDefinition) { const auto bundle_edges = PredDAGBuilder::ascending(bundle); const auto unmasked_want = walk_members(g, std::vector(bundle_edges.begin(), bundle_edges.end()), src, dsts); for (const auto kernel : {FlowPlacement::MaxFlow, FlowPlacement::EqualBalanced}) { - EXPECT_EQ(make_plan(g, kernel, Admission::Lossless, EdgePriority::Capacity, src, dsts, bundle, {}).members, - unmasked_want) + EXPECT_EQ(make_plan(g, kernel, Admission::Lossless, WeightSource {}, src, dsts, bundle).members, unmasked_want) << "trial " << trial; } masked_differs += unmasked_want != want ? 1 : 0; for (const auto kernel : {FlowPlacement::EqualBalanced, FlowPlacement::Weighted, FlowPlacement::MaxFlow}) { - Cost got_cost = -1; - const auto on_bundle = make_route_plan(g, kernel, Admission::Lossless, EdgePriority::Capacity, src, dsts, bundle, - elig ? &*elig : nullptr, &got_cost); + const auto unmasked = make_plan(g, kernel, Admission::Lossless, WeightSource {}, src, dsts, bundle); + const auto on_bundle = restrict_plan(g, unmasked, std::vector {src}, dsts, elig ? &*elig : nullptr); ASSERT_EQ(on_bundle.members, kernel == FlowPlacement::Weighted ? weighted_want : want) << "trial " << trial; - EXPECT_EQ(on_bundle.route, want); + EXPECT_EQ(on_bundle.route, unmasked.route); + EXPECT_EQ(on_bundle.weights.size(), kernel == FlowPlacement::Weighted ? on_bundle.members.size() : 0U); + const Cost got_cost = route_cost(g, PredDAGBuilder::of_edges(g, prune(g, bundle, src, dsts, elig ? &*elig : nullptr)), src, dsts); EXPECT_EQ(got_cost, want_cost) << "trial " << trial; EXPECT_EQ(prune(g, usable_dag, src, dsts), want); Cost plan_cost = -1; - const auto on_usable = - make_plan(g, kernel, Admission::Lossless, EdgePriority::Capacity, src, dsts, usable_dag, {}, &plan_cost); + const auto on_usable = make_plan(g, kernel, Admission::Lossless, WeightSource {}, src, dsts, usable_dag, &plan_cost); // The same plan but for its route, which is the whole allowed DAG (plan_differences, // test_utils.hpp). EXPECT_EQ(plan_differences(on_usable, on_bundle, false), std::vector {}) << "trial " << trial; @@ -844,7 +836,7 @@ TEST(Allocation, SplitAndReconvergeMatchesThePerNodeReferenceAtEveryValue) { for (std::size_t i = 0; i < a.size(); ++i) ok = ok && a[i] <= view_in[i]; if (ok) brute = t; } - const auto plan = plan_of(g, kernel, 0, {5}, all_ids(g), caps(g), EdgePriority::Capacity); + const auto plan = plan_of(g, kernel, 0, {5}, all_ids(g), caps(g), WeightBasis::Capacity); const auto vm = on_members(plan, view); std::vector own(plan.members.size(), 0); Amount total = 0; @@ -903,7 +895,7 @@ TEST(Allocation, TMaxExactAgainstBruteForce) { view[e] = static_cast(rng() % static_cast(g.capacity_units()[e] + 1)); } const auto kernel = (rng() % 2) == 0 ? FlowPlacement::Weighted : FlowPlacement::EqualBalanced; - const auto plan = plan_of(g, kernel, 0, {n - 1}, all_ids(g), caps(g), EdgePriority::Capacity); + const auto plan = plan_of(g, kernel, 0, {n - 1}, all_ids(g), caps(g), WeightBasis::Capacity); ASSERT_EQ(plan.members, walk_members(g, all_ids(g), 0, {n - 1})) << "trial " << trial; if (plan.members.empty()) continue; // The members as arcs in ascending EdgeId, with their weights. @@ -963,7 +955,7 @@ TEST(Allocation, TMaxSearchIsExactAndWithinTheProbeBudgetOnLargeRanges) { view[e] = (rng() % 4) == 0 ? static_cast(rng() % 3) : static_cast(rng() % static_cast(c + 1)); } const auto kernel = (rng() % 2) == 0 ? FlowPlacement::Weighted : FlowPlacement::EqualBalanced; - const auto plan = plan_of(g, kernel, 0, {n - 1}, all_ids(g), caps(g), EdgePriority::Capacity); + const auto plan = plan_of(g, kernel, 0, {n - 1}, all_ids(g), caps(g), WeightBasis::Capacity); if (plan.members.empty()) continue; const auto vm = on_members(plan, view); const auto tm = t_max(plan, vm); @@ -1310,26 +1302,26 @@ TEST(MaxFlowKernel, RandomStepsAreCertifiedOnTheirSubset) { } TEST(WeightedKernel, CapacityVersusResidualMembershipAfterOccupancy) { - // Weighted membership by capacity versus residual after occupancy: parallel links [4, 4], another - // owner holds 3 on link 0 (residual [1, 4]). + // Weighted membership by capacity versus a residual snapshot after occupancy: parallel links + // [4, 4], another owner holds 3 on link 0 (residual [1, 4]). auto g = make_graph(2, {{0, 1, 4, 1}, {0, 1, 4, 1}}); - auto run = [&](EdgePriority prio, std::vector residual_in, Amount request) { + auto run = [&](WeightBasis prio, std::vector residual_in, Amount request) { const auto w = to_ids(g, residual_in); const auto plan = plan_of(g, FlowPlacement::Weighted, 0, {1}, all_ids(g), w, prio); auto s = first_step(g, plan, w, request); return std::make_pair(s.total, dense_input(g, plan, s.alloc)); }; - EXPECT_EQ(run(EdgePriority::Residual, {1, 4}, 5), std::make_pair(Amount {5}, std::vector{1, 4})); - EXPECT_EQ(run(EdgePriority::Capacity, {1, 4}, 5), std::make_pair(Amount {2}, std::vector{1, 1})); - EXPECT_EQ(run(EdgePriority::Residual, {0, 4}, 5), std::make_pair(Amount {4}, std::vector{0, 4})); - EXPECT_EQ(run(EdgePriority::Capacity, {0, 4}, 5), std::make_pair(Amount {0}, std::vector{0, 0})); + EXPECT_EQ(run(WeightBasis::ResidualSnapshot, {1, 4}, 5), std::make_pair(Amount {5}, std::vector{1, 4})); + EXPECT_EQ(run(WeightBasis::Capacity, {1, 4}, 5), std::make_pair(Amount {2}, std::vector{1, 1})); + EXPECT_EQ(run(WeightBasis::ResidualSnapshot, {0, 4}, 5), std::make_pair(Amount {4}, std::vector{0, 4})); + EXPECT_EQ(run(WeightBasis::Capacity, {0, 4}, 5), std::make_pair(Amount {0}, std::vector{0, 0})); // Frozen plans after the owner leaves: Capacity grows to 5 as [3, 2]; Residual stays at 4. const auto held = to_ids(g, std::vector {0, 4}); const auto free = to_ids(g, std::vector {4, 4}); - const auto pc = plan_of(g, FlowPlacement::Weighted, 0, {1}, all_ids(g), held, EdgePriority::Capacity); + const auto pc = plan_of(g, FlowPlacement::Weighted, 0, {1}, all_ids(g), held, WeightBasis::Capacity); auto c = lossless_step(g, pc, 0, on_members(pc, free), std::vector(pc.members.size(), 0), 5); EXPECT_EQ(dense_input(g, pc, c.alloc), (std::vector{3, 2})); - const auto pr = plan_of(g, FlowPlacement::Weighted, 0, {1}, all_ids(g), held, EdgePriority::Residual); + const auto pr = plan_of(g, FlowPlacement::Weighted, 0, {1}, all_ids(g), held, WeightBasis::ResidualSnapshot); auto first = first_step(g, pr, held, 5); // After the release V = W + own on the one member is its capacity 4. auto again = lossless_step(g, pr, first.total, on_members(pr, free), first.alloc, 5); @@ -1340,7 +1332,7 @@ TEST(WeightedKernel, OnePlusFiveEqualsSix) { // Additivity on a fixed plan (place(1) then place(5) equals place(6)): weights 2 and 6 at the // source. auto g = make_graph(3, {{0, 1, 2, 1}, {0, 2, 6, 1}, {1, 2, 9, 1}}); - const auto plan = plan_of(g, FlowPlacement::Weighted, 0, {2}, all_ids(g), caps(g), EdgePriority::Capacity); + const auto plan = plan_of(g, FlowPlacement::Weighted, 0, {2}, all_ids(g), caps(g), WeightBasis::Capacity); const auto vm = on_members(plan, caps(g)); std::vector zero(plan.members.size(), 0); auto a = lossless_step(g, plan, 0, vm, zero, 1); @@ -1361,7 +1353,7 @@ TEST(LossyKernel, DiamondDropsAndInfiniteInjection) { // A Lossy diamond: source links 10/10, tails 1/10. auto g = make_graph(4, {{0, 1, 10, 1}, {0, 2, 10, 1}, {1, 3, 1, 1}, {2, 3, 10, 1}}); for (auto kernel : {FlowPlacement::EqualBalanced, FlowPlacement::Weighted}) { - const auto plan = plan_of(g, kernel, 0, {3}, all_ids(g), caps(g), EdgePriority::Residual, Admission::Lossy); + const auto plan = plan_of(g, kernel, 0, {3}, all_ids(g), caps(g), WeightBasis::ResidualSnapshot, Admission::Lossy); auto w = on_members(plan, caps(g)); auto s = lossy_step(plan, 10, w); EXPECT_EQ(s.offered, 10); @@ -1378,7 +1370,7 @@ TEST(LossyKernel, DiamondDropsAndInfiniteInjection) { // Highest averages at every node for Lossy Weighted: Capacity weights [1, 3, 3] split 7 as // [1, 3, 3]. auto g2 = make_graph(2, {{0, 1, 1, 1}, {0, 1, 3, 1}, {0, 1, 3, 1}}); - const auto p2 = plan_of(g2, FlowPlacement::Weighted, 0, {1}, all_ids(g2), caps(g2), EdgePriority::Capacity, + const auto p2 = plan_of(g2, FlowPlacement::Weighted, 0, {1}, all_ids(g2), caps(g2), WeightBasis::Capacity, Admission::Lossy); auto s2 = lossy_step(p2, 7, on_members(p2, caps(g2))); EXPECT_EQ(dense_input(g2, p2, s2.carried), (std::vector{1, 3, 3})); @@ -1387,7 +1379,7 @@ TEST(LossyKernel, DiamondDropsAndInfiniteInjection) { // dropped on it. Weighted gives it weight 0: the source has no member and injects nothing (the // offer is a source drop). auto g3 = make_graph(2, {{0, 1, 0, 1}}); - const auto p3 = plan_of(g3, FlowPlacement::EqualBalanced, 0, {1}, all_ids(g3), caps(g3), EdgePriority::Residual, + const auto p3 = plan_of(g3, FlowPlacement::EqualBalanced, 0, {1}, all_ids(g3), caps(g3), WeightBasis::ResidualSnapshot, Admission::Lossy); ASSERT_EQ(p3.members, (std::vector{0})); auto s3 = lossy_step(p3, 5, on_members(p3, caps(g3))); @@ -1396,7 +1388,7 @@ TEST(LossyKernel, DiamondDropsAndInfiniteInjection) { EXPECT_EQ(s3.delivered, 0); EXPECT_EQ(s3.carried, (std::vector{0})); EXPECT_EQ(s3.drops, (std::vector{5})); - const auto w3 = plan_of(g3, FlowPlacement::Weighted, 0, {1}, all_ids(g3), caps(g3), EdgePriority::Capacity, + const auto w3 = plan_of(g3, FlowPlacement::Weighted, 0, {1}, all_ids(g3), caps(g3), WeightBasis::Capacity, Admission::Lossy); ASSERT_TRUE(w3.members.empty()); auto s4 = lossy_step(w3, 5, {}); @@ -1428,7 +1420,7 @@ TEST(LossyKernel, RandomStepsEqualThePerNodeReference) { if (rng() % 3 == 0) dsts.insert(dsts.begin(), static_cast(1 + rng() % static_cast(n - 2))); const bool weighted = trial % 2 == 1; const auto kernel = weighted ? FlowPlacement::Weighted : FlowPlacement::EqualBalanced; - const auto plan = plan_of(g, kernel, 0, dsts, all_ids(g), caps(g), EdgePriority::Capacity, Admission::Lossy); + const auto plan = plan_of(g, kernel, 0, dsts, all_ids(g), caps(g), WeightBasis::Capacity, Admission::Lossy); // The split graph: every edge for EqualBalanced (a zero-capacity member takes its share and // drops it), the edges of positive weight (capacity) for Weighted. std::vector usable; diff --git a/tests/cpp/pinned_one.hpp b/tests/cpp/pinned_one.hpp deleted file mode 100644 index 523be93..0000000 --- a/tests/cpp/pinned_one.hpp +++ /dev/null @@ -1,55 +0,0 @@ -// A manual placement: a FlowPolicy with Pinned routing and one bundle. The ledger tests -// (flow_ledger_tests.cpp, flow_ledger_fault_tests.cpp) drive the ledger through it and compare the -// real PlacementResult. -#pragma once - -#include -#include -#include - -#include "netgraph/core/detail/policy_engine.hpp" -#include "netgraph/core/flow_ledger.hpp" -#include "netgraph/core/flow_policy.hpp" -#include "netgraph/core/options.hpp" -#include "netgraph/core/pred_dag.hpp" - -namespace netgraph::core::test { - -class PinnedOne { -public: - PinnedOne(FlowLedger& fg, NodeId src, NodeId dst, std::shared_ptr bundle, FlowPlacement placement, - Admission admission, EdgePriority priority, std::shared_ptr elig = nullptr) - : elig_(std::move(elig)) { - Pinned pinned; - pinned.bundles.push_back(std::move(bundle)); - FlowPolicyConfig cfg {pinned, placement, admission, PathSelection(EdgeTieBreak::Deterministic, priority)}; - const NodeId s[1] = {src}; - const NodeId d[1] = {dst}; - policy_ = std::make_unique(fg, s, d, std::move(cfg), elig_.get()); - } - - PlacementResult place(std::optional volume) { return policy_->place(volume); } - void remove() { policy_->remove(); } - [[nodiscard]] std::optional flow_id() const { - const auto& pe = engine(); - if (pe.cohorts.empty() || pe.cohorts.front().empty()) return std::nullopt; - return FlowId {pe.fg.uid(), pe.cohorts.front().front().id}; - } - [[nodiscard]] int usable_bundles() const { return policy_->usable_bundles(); } - [[nodiscard]] const detail::KernelPlan* plan() const { - const auto& pe = engine(); - if (pe.cohorts.empty() || pe.cohorts.front().empty()) return nullptr; - return pe.cohorts.front().front().plan.get(); - } - [[nodiscard]] const Counter128& requested() const { return engine().requested; } - [[nodiscard]] bool infinite() const { return engine().infinite; } - // The wrapped policy (for the shared comparators of state_comparators.hpp, such as epoch()). - [[nodiscard]] FlowPolicy& policy() { return *policy_; } - -private: - [[nodiscard]] const detail::PolicyEngine& engine() const { return detail::PolicyAccess::engine(*policy_); } - std::shared_ptr elig_; - std::unique_ptr policy_; -}; - -} // namespace netgraph::core::test diff --git a/tests/cpp/pooled_origin_tests.cpp b/tests/cpp/pooled_origin_tests.cpp index e141196..cf85e06 100644 --- a/tests/cpp/pooled_origin_tests.cpp +++ b/tests/cpp/pooled_origin_tests.cpp @@ -164,15 +164,16 @@ TEST(ConfigOrigin, MatrixTexts) { EXPECT_EQ(construct_error(kB1, {0, 1}, {3}, cfg), text); EXPECT_EQ(error_of([&] { (void)capacity(*g, v({0, 1}), v({3}), QueryOptions {cfg}); }), text); } - // C10, C12 and C8 for Pinned. - Pinned pin; - pin.bundles = {dag_of(*g, {0})}; - EXPECT_EQ(construct_error(kB1, {0}, {3}, FlowPolicyConfig {pin, FlowPlacement::MaxFlow, Admission::Lossless, - std::nullopt, Origin::Equal}), - "Pinned does not accept origin"); - EXPECT_EQ(construct_error(kB1, {0}, {3}, FlowPolicyConfig {.routing = pin}), "Pinned requires placement"); - EXPECT_EQ(construct_error(kB1, {0}, {3}, FlowPolicyConfig {pin, FlowPlacement::MaxFlow, Admission::Lossy}), - "MAX_FLOW requires admission=LOSSLESS"); + // C10, C12 and C8 for Pinned: it takes neither a placement nor an origin (its program has it). + const Pinned pin = pinned_dags(*g, 0, 3, {dag_of(*g, {0})}); + const auto pinned_error = [&](const FlowPolicyConfig& c) { + FlowLedger fg(g); + return error_of([&] { FlowPolicy p(fg, v({0}), v({3}), c); }); + }; + EXPECT_EQ(pinned_error(FlowPolicyConfig {.routing = pin, .origin = Origin::Equal}), "Pinned does not accept origin"); + EXPECT_EQ(pinned_error(FlowPolicyConfig {pin, FlowPlacement::MaxFlow, Admission::Lossy}), + "Pinned does not accept placement"); + EXPECT_EQ(pinned_error(FlowPolicyConfig {.routing = pin, .admission = Admission::Lossy}), ""); // C11: only CostOnly reads a cache (policy and evaluators). DagCache cache(*g); FlowLedger fg(g); @@ -180,7 +181,7 @@ TEST(ConfigOrigin, MatrixTexts) { {glob(), {0, 1}, "Global does not use DagCache"}, {FlowPolicyConfig {.routing = CapacityAware {}, .placement = FlowPlacement::MaxFlow}, {0, 1}, "T1 does not use DagCache"}, - {FlowPolicyConfig {.routing = pin, .placement = FlowPlacement::MaxFlow}, {0}, "Pinned does not use DagCache"}, + {FlowPolicyConfig {.routing = pin}, {0}, "Pinned does not use DagCache"}, }; for (const auto& [cfg, s, text] : cached) { EXPECT_EQ(error_of([&] { FlowPolicy p(fg, s, v({3}), cfg, nullptr, &cache); }), text); @@ -370,8 +371,9 @@ TEST(Pooled, TransitThroughASource) { // P14: Residual weights read once, on the residual at the first positive call's entry. TEST(Pooled, ResidualWeightsOnTheCommonView) { - Case k(kSnap, {0, 1}, {3}, cost_only(FlowPlacement::Weighted, Admission::Lossless, sel(EdgeTieBreak::Deterministic, EdgePriority::Residual)), - {}, {10, 10, 2, 10}); + auto snapshot = cost_only(FlowPlacement::Weighted, Admission::Lossless, sel(EdgeTieBreak::Deterministic, EdgePriority::Residual)); + snapshot.weights = WeightBasis::ResidualSnapshot; + Case k(kSnap, {0, 1}, {3}, snapshot, {}, {10, 10, 2, 10}); const auto r = k.place(std::nullopt); EXPECT_EQ(r.placed, 12); EXPECT_EQ(k.records(), (decltype(k.records()) {{{{0, 6}, {2, 1}, {3, 5}}, 6}, {{{1, 6}, {2, 1}, {3, 5}}, 6}})); @@ -381,12 +383,11 @@ TEST(Pooled, ResidualWeightsOnTheCommonView) { TEST(Pooled, WeightsFrozenForTheEpoch) { const auto g = graph(kSnap); FlowLedger fg(g); - Pinned pin; - pin.bundles = {dag_of(*g, {2})}; - auto other = std::make_unique(fg, v({2}), v({3}), FlowPolicyConfig {.routing = pin, .placement = FlowPlacement::EqualBalanced}); + auto other = std::make_unique(fg, v({2}), v({3}), FlowPolicyConfig {.routing = pinned_dags(*g, 2, 3, {dag_of(*g, {2})})}); EXPECT_EQ(other->place(8).placed, 8); - FlowPolicy p(fg, v({0, 1}), v({3}), - cost_only(FlowPlacement::Weighted, Admission::Lossless, sel(EdgeTieBreak::Deterministic, EdgePriority::Residual))); + auto snapshot = cost_only(FlowPlacement::Weighted, Admission::Lossless, sel(EdgeTieBreak::Deterministic, EdgePriority::Residual)); + snapshot.weights = WeightBasis::ResidualSnapshot; + FlowPolicy p(fg, v({0, 1}), v({3}), snapshot); EXPECT_EQ(p.place(2).placed, 2); other->remove(); const auto r = p.place(10, kEdges); @@ -1078,17 +1079,17 @@ TEST(ResultShape, RowsForEveryInputSource) { EXPECT_EQ(rows(k.place(3)), (std::vector {{0, kNone, 3, 3, 0, 0}, {1, kNone, 0, 0, 0, 0}, {4, kNone, 0, 0, 0, 0}})); const auto g = graph(kB1); - Pinned pin; - pin.bundles = {dag_of(*g, {0})}; + const Pinned pin = pinned_dags(*g, 0, 3, {dag_of(*g, {0})}); for (const auto& cfg : {cost_only(), cost_only(FlowPlacement::Weighted), FlowPolicyConfig {.routing = CapacityAware {}, .placement = FlowPlacement::EqualBalanced}}) { FlowLedger fg(g); EXPECT_FALSE(FlowPolicy(fg, v({0, 1}), v({3}), cfg).place(1).total_cost.has_value()); } FlowLedger fg(g); - EXPECT_FALSE(FlowPolicy(fg, v({0}), v({3}), FlowPolicyConfig {.routing = pin, .placement = FlowPlacement::MaxFlow}) - .place(1) - .total_cost.has_value()); + EXPECT_FALSE(FlowPolicy(fg, v({0}), v({3}), FlowPolicyConfig {.routing = pin}).place(1).total_cost.has_value()); + FlowLedger fs(g); + EXPECT_EQ(*FlowPolicy(fs, v({0}), v({3}), FlowPolicyConfig {.routing = Global {dag_of(*g, {0})}}).place(1).total_cost, + c(1)); Case mf(kB1, {0, 1}, {3}, cost_only(FlowPlacement::MaxFlow)); EXPECT_EQ(*mf.place(12).total_cost, c(32)); } @@ -1107,10 +1108,10 @@ TEST(ResultShape, CapacityAwareKeepsItsComputation) { // S8, S9 (D-zero-service): Pinned over a zero edge in the new shape. TEST(ResultShape, PinnedInTheNewShape) { const auto g = graph(kZero); - Pinned pin; - pin.bundles = {dag_of(*g, {0})}; FlowLedger fg(g); - FlowPolicy w(fg, v({0}), v({1}), FlowPolicyConfig {pin, FlowPlacement::Weighted, Admission::Lossy}); + FlowPolicy w(fg, v({0}), v({1}), + FlowPolicyConfig {.routing = pinned_dags(*g, 0, 1, {dag_of(*g, {0})}, FlowPlacement::Weighted), + .admission = Admission::Lossy}); const auto r = w.place(2); EXPECT_EQ(r.placed, 0); EXPECT_EQ(r.termination, Termination::NoActiveWeight); @@ -1119,7 +1120,8 @@ TEST(ResultShape, PinnedInTheNewShape) { EXPECT_EQ(lo(r.offered), 2); EXPECT_EQ(rows(r), (std::vector {{0, 2, 2, 0, 2, 0}})); FlowLedger fg2(g); - FlowPolicy eb(fg2, v({0}), v({1}), FlowPolicyConfig {pin, FlowPlacement::EqualBalanced, Admission::Lossy}); + FlowPolicy eb(fg2, v({0}), v({1}), + FlowPolicyConfig {.routing = pinned_dags(*g, 0, 1, {dag_of(*g, {0})}), .admission = Admission::Lossy}); const auto e = eb.place(2); EXPECT_EQ(e.drops, (Counters {{0, c(2)}})); EXPECT_EQ(e.termination, Termination::Complete); diff --git a/tests/cpp/program_tests.cpp b/tests/cpp/program_tests.cpp new file mode 100644 index 0000000..7ff6c97 --- /dev/null +++ b/tests/cpp/program_tests.cpp @@ -0,0 +1,2225 @@ +// Forwarding programs (step 3), natively: what every model exports, Global with a support, the +// weight bases, ForwardingProgram::from_routes, Pinned over programs, the lossless bound, the loss +// rule inside one program (cycles included), replay under a failure mask, stale forwarding with +// black holes, the operations evaluate, replace and forward with their epochs and flags, the +// per-entry records, the by_tunnel rows and their 128-bit counters, the evaluators' offer, and +// today's Pinned mapped onto programs. Each test checks the hand-derived values of the step's +// expected-result rows (LEDGER rows P, G, W, F, C, L, Y, R, S, O, V, D, Z, E, M, named in each +// test) on small graphs whose EdgeIds equal their input positions (asserted); none is read from +// a build. Then the storage of the new layouts (a restricted plan, a forwarding view, an epoch) +// against borrowing copies, and a property test of random tunnel programs against the +// independent reference of test_utils.hpp (program_reference). +#include + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/dag_cache.hpp" +#include "netgraph/core/detail/forwarding.hpp" +#include "netgraph/core/detail/kernels.hpp" +#include "netgraph/core/detail/policy_engine.hpp" +#include "netgraph/core/detail/private_hooks.hpp" +#include "netgraph/core/detail/program_data.hpp" +#include "netgraph/core/evaluators.hpp" +#include "netgraph/core/flow_ledger.hpp" +#include "netgraph/core/flow_policy.hpp" +#include "netgraph/core/program.hpp" +#include "state_comparators.hpp" +#include "test_utils.hpp" + +using namespace netgraph::core; +using namespace netgraph::core::test; + +namespace { + +constexpr FlowPlacement EB = FlowPlacement::EqualBalanced; +constexpr FlowPlacement W = FlowPlacement::Weighted; +constexpr FlowPlacement MF = FlowPlacement::MaxFlow; +constexpr Admission LOSSY = Admission::Lossy; +constexpr Admission LOSSLESS = Admission::Lossless; +constexpr TunnelStatus UP = TunnelStatus::Up; +constexpr TunnelStatus FAILED = TunnelStatus::Failed; +constexpr TunnelStatus BLACKHOLED = TunnelStatus::Blackholed; +const std::optional INF; // +inf + +using Spec = std::tuple, Amount>; // (head, path edges, weight) +using Listing = std::vector; +using Row = std::tuple; +using Rows = std::vector; // (index, head, status, assigned, delivered, dropped) +using Drops = std::vector>; +using Amounts = std::vector; + +Counter128 c(Amount x) { return Counter128 {0, static_cast(x)}; } +Amount lo(const Counter128& x) { + EXPECT_EQ(x.hi, 0U); + return static_cast(x.lo); +} +Amount lo(const std::optional& x) { + EXPECT_TRUE(x.has_value()); + return x.has_value() ? lo(*x) : -1; +} + +// A graph whose rows are already in EdgeId order (source, cost, destination, input). +std::shared_ptr graph(std::int32_t n, const std::vector& rows) { + auto g = shared(make_graph(n, rows)); + for (std::size_t i = 0; i < rows.size(); ++i) EXPECT_EQ(g->input_index()[i], static_cast(i)); + return g; +} +std::shared_ptr par2(Amount a, Amount b) { return graph(2, {{0, 1, a, 1}, {0, 1, b, 1}}); } + +const std::vector kOne = {{0, 1, 10, 1}}; +const std::vector kB1 = {{0, 3, 2, 1}, {1, 2, 10, 1}, {2, 3, 10, 2}}; +const std::vector kB2 = {{0, 1, 4, 1}, {0, 2, 2, 1}, {1, 2, 10, 1}}; +const std::vector kES = {{0, 1, 10, 1}, {0, 2, 10, 1}, {1, 3, 2, 1}, {2, 3, 10, 2}}; +const std::vector kG1U = {{0, 1, 2, 1}, {0, 2, 10, 1}, {1, 3, 2, 1}, {2, 3, 10, 1}}; +const std::vector kPinloss = {{0, 1, 10, 1}, {0, 2, 10, 1}, {1, 3, 2, 1}, {2, 3, 10, 1}}; +const std::vector kDiam = {{0, 1, 100, 1}, {0, 2, 100, 1}, {1, 3, 100, 1}, {2, 3, 100, 1}}; +const std::vector kPool2 = {{0, 2, 10, 1}, {1, 2, 10, 1}, {2, 3, 10, 1}, {2, 3, 10, 1}}; +const std::vector kRel = {{0, 2, 10, 1}, {1, 2, 10, 1}, {2, 3, 10, 1}}; +const std::vector kTun = {{0, 1, 10, 1}, {0, 2, 10, 1}, {1, 3, 10, 1}, {2, 3, 10, 1}}; +const std::vector kMB = {{0, 1, 10, 1}, {0, 2, 10, 1}, {0, 3, 10, 1}, + {1, 4, 10, 1}, {2, 4, 10, 1}, {3, 4, 10, 1}}; +const std::vector kSurv = {{0, 3, 3, 1}, {1, 3, 1, 1}, {2, 3, 5, 1}}; +const std::vector kRB = {{0, 2, 5, 1}, {1, 2, 5, 1}, {1, 2, 5, 2}}; +const std::vector kInc = {{0, 2, 1, 1}, {1, 2, 3, 1}}; +const std::vector kShare = {{0, 1, 4, 1}, {1, 2, 10, 1}, {1, 2, 10, 1}}; +const std::vector kHier = {{0, 2, 1000, 1}, {1, 2, 1000, 1}, {2, 3, 1, 1}}; + +// CYC(x, y): tunnel 0 = [e6, e0, e1, e3, e5] meets X (e0) then Y (e3); tunnel 1 = [e7, e3, e4, +// e0, e2] meets Y then X; 4 -> 5. +std::shared_ptr cyc(Amount x, Amount y) { + return graph(6, {{0, 1, x, 1}, + {1, 2, 1000, 1}, + {1, 5, 1000, 1}, + {2, 3, y, 1}, + {3, 0, 1000, 1}, + {3, 5, 1000, 1}, + {4, 0, 1000, 1}, + {4, 2, 1000, 1}}); +} +const std::vector kCycT0 = {6, 0, 1, 3, 5}; +const std::vector kCycT1 = {7, 3, 4, 0, 2}; + +// CYCS(x, y, z): CYC with Y split in series, e3: 2 -> 6 cap y, e8: 6 -> 3 cap z. +std::shared_ptr cycs(Amount x, Amount y, Amount z) { + return graph(7, {{0, 1, x, 1}, + {1, 2, 1000, 1}, + {1, 5, 1000, 1}, + {2, 6, y, 1}, + {3, 0, 1000, 1}, + {3, 5, 1000, 1}, + {4, 0, 1000, 1}, + {4, 2, 1000, 1}, + {6, 3, z, 1}}); +} +const std::vector kCycsT0 = {6, 0, 1, 3, 8, 5}; +const std::vector kCycsT1 = {7, 3, 8, 4, 0, 2}; + +std::shared_ptr path(const Graph& g, const std::vector& edges) { + std::vector> hops; + for (EdgeId e : edges) hops.push_back({e}); + return std::make_shared(g, hops); +} +Route tunnel_route(const Graph& g, NodeId head, const std::vector& edges, Amount weight = 1) { + return Route {head, path(g, edges), weight}; +} +Route dag_route(const Graph& g, NodeId head, const std::vector& edges, Amount weight = 1) { + return Route {head, dag_of(g, edges), weight}; +} +std::shared_ptr program(const Graph& g, const std::vector& s, + const std::vector& d, const std::vector& routes, + const RouteOptions& options = {}) { + return ForwardingProgram::from_routes(g, s, d, routes, options); +} +// A supplied program of tunnels. +std::shared_ptr tunnels(const Graph& g, const std::vector& s, + const std::vector& d, const std::vector& specs) { + std::vector routes; + for (const auto& [h, es, w] : specs) routes.push_back(tunnel_route(g, h, es, w)); + return program(g, s, d, routes); +} + +std::shared_ptr no_nodes(const Graph& g, const std::vector& nodes) { + return std::make_shared(g.eligibility(nodes, {})); +} +std::shared_ptr no_edges(const Graph& g, const std::vector& edges) { + return std::make_shared(g.eligibility({}, edges)); +} + +// A policy with what it points to: the ledger and the Eligibility outlive it (declared first). +struct Pol { + std::shared_ptr ledger; + std::shared_ptr elig; + std::unique_ptr p; + FlowPolicy* operator->() const { return p.get(); } +}; + +Pol make(const std::shared_ptr& g, const std::vector& s, const std::vector& d, + FlowPolicyConfig cfg, std::shared_ptr elig = nullptr, + std::shared_ptr ledger = nullptr) { + Pol out {ledger ? std::move(ledger) : std::make_shared(g), std::move(elig), nullptr}; + out.p = std::make_unique(*out.ledger, s, d, std::move(cfg), out.elig.get()); + return out; +} + +FlowPolicyConfig cost_only(FlowPlacement placement = EB, Admission admission = LOSSLESS) { + return FlowPolicyConfig {.routing = CostOnly {}, .placement = placement, .admission = admission}; +} +FlowPolicyConfig weighted(Admission admission, WeightBasis basis, std::vector edge_weights = {}) { + auto cfg = cost_only(W, admission); + cfg.weights = basis; + if (basis == WeightBasis::Explicit) cfg.edge_weights = std::make_shared>(std::move(edge_weights)); + return cfg; +} +FlowPolicyConfig global(std::optional origin = std::nullopt, std::shared_ptr support = nullptr) { + return FlowPolicyConfig {.routing = Global {std::move(support)}, .origin = origin}; +} +FlowPolicyConfig pinned_config(std::shared_ptr prog, Admission admission = LOSSLESS, + std::shared_ptr black_holes = nullptr) { + return FlowPolicyConfig {.routing = Pinned {std::move(prog), std::move(black_holes)}, .admission = admission}; +} +FlowPolicyConfig capacity_aware() { + return FlowPolicyConfig {.routing = CapacityAware {}, .placement = EB}; +} + +Pol pinned(const std::shared_ptr& g, const std::shared_ptr& prog, + Admission admission = LOSSLESS, std::shared_ptr elig = nullptr, + std::shared_ptr black_holes = nullptr, std::shared_ptr ledger = nullptr) { + return make(g, vec(prog->sources()), vec(prog->destinations()), pinned_config(prog, admission, std::move(black_holes)), + std::move(elig), std::move(ledger)); +} + +Rows rows(const PlacementResult& r) { + Rows out; + for (const auto& t : r.by_tunnel) out.emplace_back(t.index, t.head, t.status, lo(t.assigned), t.delivered, lo(t.dropped)); + return out; +} +Listing listing(const ForwardingProgram& p) { + Listing out; + for (const auto& t : p.tunnels()) out.emplace_back(t.head, t.edges, t.weight); + return out; +} +std::vector> entries(const FlowPolicy& p) { + std::vector> out; + for (const auto& r : p.records()) out.push_back(r.entry); + return out; +} +Amounts delivered(const FlowPolicy& p) { + Amounts out; + for (const auto& r : p.records()) out.push_back(r.delivered); + return out; +} +std::vector ids(const FlowPolicy& p) { + std::vector out; + for (const auto& r : p.records()) out.push_back(r.flow_id.second); + return out; +} + +const OutputOptions kEdges {.edge_flows = true}; + +QueryOptions query(FlowPolicyConfig cfg, std::optional> offered = std::nullopt) { + QueryOptions q {std::move(cfg)}; + q.offered = offered; + return q; +} +std::optional> offer(Amount x) { return std::optional> {std::in_place, x}; } +std::optional> offer_inf() { return std::optional> {std::in_place, std::nullopt}; } + +std::vector> losses(const SensitivityResult& s) { + std::vector> out; + for (const auto& e : s.entries) out.emplace_back(e.edge, e.loss); + return out; +} + +const std::string kFinite = "LOSSY forwarding requires a finite offer"; +const std::string kNoProgram = "forward requires an installed program"; +const std::string kPeriodTwo = "lossy forwarding iteration entered a period-2 cycle"; +const std::string kRoundLimit = "lossy forwarding iteration did not reach a fixed point within the round limit"; + +} // namespace + +// ---------------------------------------------------------------- P: exported programs + +// P1, Z2: B1, Global optimized, place(12). +TEST(ProgramExport, GlobalOptimized) { + const auto g = graph(4, kB1); + auto p = make(g, {0, 1}, {3}, global()); + const auto r = p->place(12); + ASSERT_TRUE(r.program); + const auto& prog = *r.program; + EXPECT_EQ(listing(prog), (Listing {{0, {0}, 2}, {1, {1, 2}, 10}})); + std::vector> fields; + for (const auto& t : prog.tunnels()) fields.emplace_back(t.index, t.local_index, t.destination, t.route_cost); + EXPECT_EQ(fields, (std::vector> {{0, 0, 3, 1}, {1, 0, 3, 3}})); + ASSERT_TRUE(prog.source_weights().has_value()); + EXPECT_EQ(*prog.source_weights(), (std::vector> {{0, 2}, {1, 10}})); + EXPECT_EQ(vec(prog.sources()), v({0, 1})); + EXPECT_EQ(vec(prog.destinations()), v({3})); + EXPECT_EQ(prog.graph_uid(), g->uid()); + EXPECT_EQ(entries(*p.p), (std::vector> {std::nullopt, std::nullopt})); + EXPECT_EQ(rows(r), (Rows {{0, 0, UP, 2, 2, 0}, {1, 1, UP, 10, 10, 0}})); + EXPECT_EQ(p->program(), r.program); +} + +// P2: the equal origin admits 4 and keeps no source weights. +TEST(ProgramExport, GlobalEqual) { + const auto g = graph(4, kB1); + auto p = make(g, {0, 1}, {3}, global(Origin::Equal)); + const auto r = p->place(12); + EXPECT_EQ(r.placed, 4); + EXPECT_EQ(listing(*r.program), (Listing {{0, {0}, 2}, {1, {1, 2}, 2}})); + EXPECT_FALSE(r.program->source_weights().has_value()); +} + +// P3: one source is decomposed too (R12). +TEST(ProgramExport, SingleSourceDecomposed) { + const auto g = graph(4, kES); + auto p = make(g, {0}, {3}, global()); + const auto r = p->place(12); + EXPECT_EQ(listing(*r.program), (Listing {{0, {0, 2}, 2}, {0, {1, 3}, 10}})); + std::vector> fields; + for (const auto& t : r.program->tunnels()) fields.emplace_back(t.local_index, t.route_cost); + EXPECT_EQ(fields, (std::vector> {{0, 2}, {1, 3}})); + EXPECT_EQ(r.total_cost, c(34)); + EXPECT_EQ(*r.program->source_weights(), (std::vector> {{0, 12}})); +} + +// P4: CostOnly MaxFlow exports its controller's paths. +TEST(ProgramExport, CostOnlyMaxFlow) { + const auto g = graph(4, kES); + auto p = make(g, {0}, {3}, cost_only(MF)); + const auto r = p->place(12); + EXPECT_EQ(r.placed, 2); + EXPECT_EQ(listing(*r.program), (Listing {{0, {0, 2}, 2}})); + EXPECT_EQ(*r.program->source_weights(), (std::vector> {{0, 2}})); +} + +// P5, Z3: a CostOnly split program lists no tunnel. +TEST(ProgramExport, CostOnlySplit) { + const auto g = graph(4, kPool2); + auto p = make(g, {0, 1}, {3}, cost_only()); + const auto r = p->place(2); + ASSERT_TRUE(r.program); + EXPECT_TRUE(r.program->tunnels().empty()); + EXPECT_FALSE(r.program->source_weights().has_value()); + EXPECT_EQ(vec(r.program->sources()), v({0, 1})); + EXPECT_EQ(vec(r.program->destinations()), v({3})); + EXPECT_TRUE(r.by_tunnel.empty()); +} + +// P7: every roster source keeps its source weight, zero included (R20). +TEST(ProgramExport, ZeroSupplyKept) { + const auto g = graph(3, {{0, 2, 5, 1}, {1, 2, 5, 1}}); + auto p = make(g, {0, 1}, {2}, global()); + const auto r = p->place(1); + EXPECT_EQ(listing(*r.program), (Listing {{0, {0}, 1}})); + EXPECT_EQ(*r.program->source_weights(), (std::vector> {{0, 1}, {1, 0}})); +} + +// P8: no program before the first positive call; a zero call reports none. +TEST(ProgramExport, NoneBeforePreparation) { + const auto g = graph(3, {{0, 2, 5, 1}, {1, 2, 5, 1}}); + for (const auto& cfg : {global(), cost_only()}) { + auto p = make(g, {0, 1}, {2}, cfg); + EXPECT_EQ(p->program(), nullptr); + const auto z = p->place(0); + EXPECT_EQ(z.program, nullptr); + EXPECT_TRUE(z.by_tunnel.empty()); + EXPECT_EQ(p->program(), nullptr); + (void)p->place(3); + EXPECT_NE(p->program(), nullptr); + } +} + +// P9: today's CapacityAware has no program (O1). +TEST(ProgramExport, CapacityAwareHasNone) { + const auto g = graph(2, kOne); + auto p = make(g, {0}, {1}, capacity_aware()); + const auto r = p->place(5); + EXPECT_EQ(r.placed, 5); + EXPECT_EQ(r.program, nullptr); + EXPECT_EQ(p->program(), nullptr); +} + +// P10: B1's optimized program forwarded by Pinned reproduces the solve. +TEST(ProgramExport, ReplayReproducesTheSolve) { + const auto g = graph(4, kB1); + auto solver = make(g, {0, 1}, {3}, global()); + const auto prog = solver->place(12).program; + auto p = pinned(g, prog); + const auto r = p->place(12, kEdges); + EXPECT_EQ(r.placed, 12); + EXPECT_EQ(r.termination, Termination::Complete); + EXPECT_EQ(*r.edge_flows, (Amounts {2, 10, 10})); + EXPECT_EQ(pinned(g, prog)->place(INF).placed, 12); +} + +// P11: the producer's mask is saved: no replay brings source 1 back (R10). +TEST(ProgramExport, MaskSaved) { + const auto g = graph(4, kB1); + auto masked = make(g, {0, 1}, {3}, global(), no_nodes(*g, {1})); + const auto r = masked->place(12); + EXPECT_EQ(r.placed, 2); + EXPECT_EQ(listing(*r.program), (Listing {{0, {0}, 2}})); + const auto lossy = pinned(g, r.program, LOSSY)->replace(12); + EXPECT_EQ(lossy.placed, 2); + ASSERT_EQ(lossy.by_source.size(), 2U); + EXPECT_EQ(lo(lossy.by_source[0].offered), 12); + EXPECT_EQ(lo(lossy.by_source[1].offered), 0); +} + +// P12: an empty roster installs an empty program (R22). +TEST(ProgramExport, EmptyRoster) { + const auto g = graph(2, kOne); + auto p = make(g, {0}, {1}, cost_only(), no_nodes(*g, {0})); + const auto r = p->place(1); + EXPECT_EQ(r.termination, Termination::NoRoute); + ASSERT_TRUE(r.program); + EXPECT_TRUE(r.program->tunnels().empty()); + EXPECT_EQ(vec(r.program->sources()), v({0})); + EXPECT_FALSE(r.routes_changed); + EXPECT_FALSE(r.weights_changed); +} + +// P6: the policy's program is the configured one (R14). +TEST(PinnedProgram, ProgramIsTheConfiguredOne) { + const auto g = graph(4, kB1); + auto solver = make(g, {0, 1}, {3}, global()); + const auto prog = solver->place(12).program; + auto p = pinned(g, prog); + const auto r = p->place(1); + EXPECT_EQ(r.program, prog); + EXPECT_EQ(p->program(), prog); + EXPECT_EQ(listing(*r.program), listing(*prog)); +} + +// ---------------------------------------------------------------- G: Global with a support + +// GS1: only the support carries traffic; no cut, no curve. +TEST(GlobalSupport, OnlyTheSupport) { + const auto g = graph(4, kES); + auto p = make(g, {0}, {3}, global(std::nullopt, dag_of(*g, {1, 3}))); + const auto r = p->place(12, OutputOptions {.min_cut = true}); + EXPECT_EQ(r.placed, 10); + EXPECT_EQ(r.total_cost, c(30)); + EXPECT_FALSE(r.min_cut.has_value()); + EXPECT_FALSE(r.cost_distribution.has_value()); + EXPECT_EQ(listing(*r.program), (Listing {{0, {1, 3}, 10}})); + const auto full = make(g, {0}, {3}, global())->place(12); + EXPECT_EQ(full.placed, 12); + EXPECT_EQ(full.total_cost, c(34)); +} + +// GS2: e0 leads nowhere inside the support: trimmed. +TEST(GlobalSupport, Trimmed) { + const auto g = graph(4, kES); + const auto r = make(g, {0}, {3}, global(std::nullopt, dag_of(*g, {0, 1, 3})))->place(12, kEdges); + EXPECT_EQ(r.placed, 10); + EXPECT_EQ(*r.edge_flows, (Amounts {0, 10, 0, 10})); +} + +// GS3: the mask removes the support: an empty roster. +TEST(GlobalSupport, MaskRemovesSupport) { + const auto g = graph(4, kES); + const auto r = make(g, {0}, {3}, global(std::nullopt, dag_of(*g, {1, 3})), no_edges(*g, {3}))->place(12); + EXPECT_EQ(r.termination, Termination::NoRoute); + EXPECT_EQ(r.placed, 0); + ASSERT_TRUE(r.program); + EXPECT_TRUE(r.program->tunnels().empty()); +} + +// GS4: the equal origin on a support: RR(4, 2) fits, RR(5, 2) does not. +TEST(GlobalSupport, EqualOrigin) { + const auto g = graph(3, kB2); + const auto r = make(g, {0, 1}, {2}, global(Origin::Equal, dag_of(*g, {1, 2})))->place(12); + EXPECT_EQ(r.placed, 4); + EXPECT_EQ(r.total_cost, c(4)); +} + +// GS5: every allowed link of a support is a candidate, no shortcut. +TEST(GlobalSupport, Sensitivity) { + const auto g = graph(4, kES); + const auto s = sensitivity(*g, v({0}), v({3}), query(global(std::nullopt, dag_of(*g, {1, 3}))), 1); + EXPECT_EQ(s.baseline.placed, 10); + EXPECT_EQ(losses(s), (std::vector> {{0, 0}, {1, 10}, {2, 0}, {3, 10}})); +} + +// GS6, Z6: total_cost 2^70 (high half 64, low half 0). +TEST(GlobalSupport, TotalCostBeyond64Bits) { + const auto g = graph(2, {{0, 1, Amount {1} << 40, Cost {1} << 30}}); + const auto r = make(g, {0}, {1}, global(std::nullopt, dag_of(*g, {0})))->place(Amount {1} << 40); + EXPECT_EQ(r.placed, Amount {1} << 40); + ASSERT_TRUE(r.total_cost.has_value()); + EXPECT_EQ(r.total_cost->hi, 64U); + EXPECT_EQ(r.total_cost->lo, 0U); +} + +// GS7: a support of another graph. +TEST(GlobalSupport, Ownership) { + const auto g = graph(2, {{0, 1, 1, 1}}); + const auto other = graph(2, {{0, 1, 1, 1}}); + FlowLedger fg(g); + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), global(std::nullopt, dag_of(*other, {0}))); }), + "support belongs to another graph"); +} + +// ---------------------------------------------------------------- W: weight bases + +// W1, W12: E-configured; CAPACITY weights give (6, 6); the lossless bound 15. +TEST(WeightBases, Explicit) { + const auto g = par2(10, 10); + EXPECT_EQ(*make(g, {0}, {1}, weighted(LOSSY, WeightBasis::Explicit, {1, 2}))->place(12, kEdges).edge_flows, + (Amounts {4, 8})); + EXPECT_EQ(*make(g, {0}, {1}, cost_only(W, LOSSY))->place(12, kEdges).edge_flows, (Amounts {6, 6})); + const auto ll = weighted(LOSSLESS, WeightBasis::Explicit, {1, 2}); + EXPECT_EQ(make(g, {0}, {1}, ll)->place(INF).placed, 15); + EXPECT_EQ(capacity(*g, v({0}), v({1}), query(ll)).placed, 15); +} + +// S3-01 (review): legal weights below 2^62 each may sum to 2^64 or more; the sum is exact. Eight +// equal weights of 2^61 (sum 2^64) and of 2^62 - 1 split 8 units as RR(8, 8) = one each; unequal +// weights (2^62 - 1, 2^61, 2^61 + 1, 1), W = 2^63 + 1: H(9, w) = (5, 2, 2, 0). Through the helper, +// tunnels and explicit WCMP, both admissions. +TEST(WeightBases, WeightSumsBeyond64Bits) { + for (const Amount w : {Amount {1} << 61, (Amount {1} << 62) - 1}) { + Amounts out(8, 0); + detail::highest_averages(8, Amounts(8, w), out); + EXPECT_EQ(out, Amounts(8, 1)) << w; + std::vector rows(8, InEdge {0, 1, 100, 1}); + const auto g = graph(2, rows); + std::vector, Amount>> specs; + for (EdgeId e = 0; e < 8; ++e) specs.emplace_back(0, std::vector {e}, w); + for (const auto admission : {LOSSLESS, LOSSY}) { + auto t = pinned(g, tunnels(*g, {0}, {1}, specs), admission); + const auto r = t->replace(8, kEdges); + EXPECT_EQ(r.placed, 8) << w; + EXPECT_EQ(*r.edge_flows, Amounts(8, 1)) << w; + EXPECT_TRUE(r.source_loss.is_zero()) << w; + const auto x = make(g, {0}, {1}, weighted(admission, WeightBasis::Explicit, Amounts(8, w)))->replace(8, kEdges); + EXPECT_EQ(x.placed, 8) << w; + EXPECT_EQ(*x.edge_flows, Amounts(8, 1)) << w; + } + } + const Amounts unequal = {(Amount {1} << 62) - 1, Amount {1} << 61, (Amount {1} << 61) + 1, 1}; + Amounts out(4, 0); + detail::highest_averages(9, unequal, out); + EXPECT_EQ(out, (Amounts {5, 2, 2, 0})); + // The equal-weight control below 2^64: the same split. + detail::highest_averages(8, Amounts(8, 3), out = Amounts(8, 0)); + EXPECT_EQ(out, Amounts(8, 1)); +} + +// W2: E-snapshot over the baseline (2, 10). +TEST(WeightBases, Snapshot) { + const auto g = par2(10, 10); + const Amounts base = {2, 10}; + auto ledger = [&] { return std::make_shared(g, base); }; + EXPECT_EQ(make(g, {0}, {1}, cost_only(W), nullptr, ledger())->place(12).placed, 4); + EXPECT_EQ(make(g, {0}, {1}, weighted(LOSSLESS, WeightBasis::ResidualSnapshot), nullptr, ledger())->place(12).placed, + 12); +} + +// W3: the priority no longer chooses weights (CAPACITY is the default). +TEST(WeightBases, PriorityIsNotAWeight) { + const auto g = par2(10, 10); + auto cfg = cost_only(W); + cfg.selection = PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Residual); + auto p = make(g, {0}, {1}, cfg, nullptr, std::make_shared(g, Amounts {2, 10})); + EXPECT_EQ(p->place(12).placed, 4); + EXPECT_EQ(p->config().weights, WeightBasis::Capacity); +} + +// W4: a positive weight on an edge of capacity 0 becomes 0: all 7 on e1, no drop. +TEST(WeightBases, ExplicitOnZeroCapacity) { + const auto g = par2(0, 10); + const auto r = make(g, {0}, {1}, weighted(LOSSY, WeightBasis::Explicit, {5, 1}))->place(7); + EXPECT_EQ(r.placed, 7); + EXPECT_TRUE(r.call_drops.empty()); +} + +// W5: a zero weight prunes its edge. +TEST(WeightBases, ExplicitZeroPrunes) { + const auto g = par2(10, 10); + EXPECT_EQ(make(g, {0}, {1}, weighted(LOSSLESS, WeightBasis::Explicit, {0, 3}))->place(12).placed, 10); + const auto r = make(g, {0}, {1}, weighted(LOSSY, WeightBasis::Explicit, {0, 3}))->place(12); + EXPECT_EQ(r.placed, 10); + EXPECT_EQ(r.call_drops, (Drops {{1, 2}})); +} + +// W6: every weight 0: NO_ACTIVE_WEIGHT; Lossy loses the offer at the source. +TEST(WeightBases, AllZeroIsNoActiveWeight) { + const auto g = par2(10, 10); + for (const auto& [adm, loss] : {std::pair {LOSSY, Amount {5}}, std::pair {LOSSLESS, Amount {0}}}) { + const auto r = make(g, {0}, {1}, weighted(adm, WeightBasis::Explicit, {0, 0}))->place(5); + EXPECT_EQ(r.termination, Termination::NoActiveWeight); + EXPECT_EQ(r.placed, 0); + EXPECT_EQ(r.source_loss, c(loss)); + } +} + +// W7: Weighted with the Headroom priority is accepted (CostOnly): the single path is e1. +TEST(WeightBases, WeightedWithHeadroom) { + const auto g = par2(10, 10); + auto cfg = cost_only(W); + cfg.selection = PathSelection(EdgeTieBreak::PreferHigherPriority, EdgePriority::Headroom, false); + auto p = make(g, {0}, {1}, cfg, nullptr, std::make_shared(g, Amounts {2, 10})); + EXPECT_EQ(p->place(12).placed, 10); +} + +// W8: the snapshot is frozen for the epoch: call 2 splits 6 as H(6, (2, 10)) = (1, 5), both +// dropped. +TEST(WeightBases, SnapshotFrozenForTheEpoch) { + const auto g = par2(10, 10); + auto p = make(g, {0}, {1}, weighted(LOSSY, WeightBasis::ResidualSnapshot), nullptr, + std::make_shared(g, Amounts {2, 10})); + EXPECT_EQ(*p->place(12, kEdges).edge_flows, (Amounts {2, 10})); + const auto r = p->place(6); + EXPECT_EQ(r.placed, 0); + EXPECT_EQ(r.call_drops, (Drops {{0, 1}, {1, 5}})); + EXPECT_EQ(r.call_source_loss, 0); +} + +// W9, W10: the texts of the weight fields (the bool entry is the binding's conversion). +TEST(WeightBases, MatrixTexts) { + const auto g = par2(10, 10); + FlowLedger fg(g); + auto with = [](FlowPolicyConfig cfg, std::optional w, std::optional> ew) { + cfg.weights = w; + if (ew.has_value()) cfg.edge_weights = std::make_shared>(*ew); + return cfg; + }; + const auto prog = tunnels(*g, {0}, {1}, {{0, {0}, 1}}); + const std::vector> cases = { + {with(cost_only(), WeightBasis::Capacity, std::nullopt), "weights require CostOnly placement=WEIGHTED"}, + {with(cost_only(), std::nullopt, Amounts {1, 1}), "edge_weights require weights=EXPLICIT"}, + {with(cost_only(W), WeightBasis::Explicit, std::nullopt), "weights=EXPLICIT requires edge_weights"}, + {with(cost_only(W), WeightBasis::Capacity, Amounts {1, 1}), "edge_weights require weights=EXPLICIT"}, + {with(global(), WeightBasis::Capacity, std::nullopt), "Global does not accept weights"}, + {with(pinned_config(prog), WeightBasis::Capacity, std::nullopt), "Pinned does not accept weights"}, + {with(capacity_aware(), WeightBasis::Capacity, std::nullopt), "T1 does not accept weights"}, + {with(cost_only(W), WeightBasis::Explicit, Amounts {1, 2, 3}), "edge_weights: expected 2 entries"}, + {with(cost_only(W), WeightBasis::Explicit, Amounts {1, kL62}), "edge_weights[1] must be an integer in [0, 2^62)"}, + {with(cost_only(W), WeightBasis::Explicit, Amounts {-1, 1}), "edge_weights[0] must be an integer in [0, 2^62)"}, + }; + for (const auto& [cfg, text] : cases) { + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), cfg); }), text); + } + // The largest entry of the domain is accepted. + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), weighted(LOSSLESS, WeightBasis::Explicit, {1, kL62 - 1})); }), + ""); +} + +// W11: one configuration's edge_weights array is shared by every policy built from it (R11). +TEST(WeightBases, SharedArray) { + const auto g = par2(10, 10); + const auto cfg = weighted(LOSSLESS, WeightBasis::Explicit, {1, 2}); + FlowLedger fg(g); + FlowPolicy a(fg, v({0}), v({1}), cfg); + FlowPolicy b(fg, v({0}), v({1}), cfg); + const auto* buffer = cfg.edge_weights.get(); + EXPECT_EQ(detail::PolicyAccess::engine(a).config.edge_weights.get(), buffer); + EXPECT_EQ(detail::PolicyAccess::engine(b).config.edge_weights.get(), buffer); + EXPECT_EQ(a.config().edge_weights.get(), buffer); + // Control: an equal array built separately is another buffer. + FlowPolicy c2(fg, v({0}), v({1}), weighted(LOSSLESS, WeightBasis::Explicit, {1, 2})); + EXPECT_NE(detail::PolicyAccess::engine(c2).config.edge_weights.get(), buffer); +} + +// ---------------------------------------------------------------- F: from_routes + +// F1 to F22: the validation texts in order (graph PAR2(4, 8), 0 -> 1 unless stated). +TEST(FromRoutes, Texts) { + const auto g = par2(4, 8); + const auto p0 = tunnel_route(*g, 0, {0}); + const Route d01 = dag_route(*g, 0, {0, 1}); + auto err = [&](const std::vector& s, const std::vector& d, const std::vector& routes, + const RouteOptions& o = {}, const Graph* on = nullptr) { + return error_of([&] { (void)ForwardingProgram::from_routes(on ? *on : *g, s, d, routes, o); }); + }; + EXPECT_EQ(err({}, {1}, {p0}), "sources: the node set is empty"); + EXPECT_EQ(err({0}, {0}, {p0}), "node 0 is in both endpoint sets: sources and destinations must not overlap"); + EXPECT_EQ(err({0}, {1}, {}), "routes must not be empty"); + EXPECT_EQ(err({0}, {1}, {p0}, RouteOptions {.placement = EB}), "placement applies only to PredDAG routes"); + EXPECT_EQ(err({0}, {1}, {p0}, RouteOptions {.weights = WeightBasis::Capacity}), + "weights applies only to PredDAG routes"); + EXPECT_EQ(err({0}, {1}, {p0}, RouteOptions {.edge_weights = Amounts {1, 1}}), + "edge_weights applies only to PredDAG routes"); + EXPECT_EQ(err({0}, {1}, {p0}, RouteOptions {.residual = Amounts {1, 1}}), "residual applies only to PredDAG routes"); + EXPECT_EQ(err({0}, {1}, {d01}, RouteOptions {.placement = MF}), + "from_routes placement must be EQUAL_BALANCED or WEIGHTED"); + EXPECT_EQ(err({0}, {1}, {d01}, RouteOptions {.weights = WeightBasis::Capacity}), "weights require placement=WEIGHTED"); + EXPECT_EQ(err({0}, {1}, {d01}, RouteOptions {.placement = W, .weights = WeightBasis::Explicit}), + "weights=EXPLICIT requires edge_weights"); + EXPECT_EQ(err({0}, {1}, {d01}, RouteOptions {.placement = W, .edge_weights = Amounts {1, 1}}), + "edge_weights require weights=EXPLICIT"); + EXPECT_EQ(err({0}, {1}, {d01}, RouteOptions {.placement = W, .weights = WeightBasis::ResidualSnapshot}), + "weights=RESIDUAL_SNAPSHOT requires residual"); + EXPECT_EQ(err({0}, {1}, {d01}, RouteOptions {.placement = W, .residual = Amounts {4, 8}}), + "residual requires weights=RESIDUAL_SNAPSHOT"); + EXPECT_EQ(err({0}, {1}, {d01}, RouteOptions {.placement = W, .weights = WeightBasis::Explicit, .edge_weights = Amounts {1}}), + "edge_weights: expected 2 entries"); + EXPECT_EQ(err({0}, {1}, {d01}, + RouteOptions {.placement = W, .weights = WeightBasis::Explicit, .edge_weights = Amounts {1, kL62}}), + "edge_weights[1] must be an integer in [0, 2^62)"); + EXPECT_EQ(err({0}, {1}, {d01}, + RouteOptions {.placement = W, .weights = WeightBasis::ResidualSnapshot, .residual = Amounts {5, 8}}), + "residual[0] = 5 is outside [0, capacity_units[0] = 4]"); + const auto other = par2(4, 8); + EXPECT_EQ(err({0}, {1}, {tunnel_route(*other, 0, {0})}), "routes[0]: bundle belongs to another graph"); + EXPECT_EQ(err({0}, {1}, {tunnel_route(*g, 1, {0})}), "routes[0]: head 1 is not a source"); + const Route hop2 {0, std::make_shared(*g, std::vector> {{0, 1}}), 1}; + EXPECT_EQ(err({0}, {1}, {hop2}), "routes[0]: a tunnel has one edge per hop"); + const auto d = graph(4, kDiam); + EXPECT_EQ(err({0, 1}, {3}, {tunnel_route(*d, 1, {0, 2})}, {}, d.get()), + "routes[0]: the path starts at 0, not at head 1"); + EXPECT_EQ(err({0}, {3}, {tunnel_route(*d, 0, {0})}, {}, d.get()), + "routes[0]: the path ends at 1, not at a destination"); + EXPECT_EQ(err({0}, {1, 3}, {tunnel_route(*d, 0, {0, 2})}, {}, d.get()), + "routes[0]: the path meets destination 1 before its end"); + EXPECT_EQ(err({0}, {3}, {dag_route(*d, 0, {2})}, {}, d.get()), "routes[0]: no walk from head 0 to a destination"); + for (const Amount w : {kL62, Amount {-1}}) { + EXPECT_EQ(err({0}, {1}, {tunnel_route(*g, 0, {0}, w)}), "routes[0]: weight must be an integer in [0, 2^62)"); + } + // The last value of the domain is accepted; a later route is named by its position. + EXPECT_EQ(err({0}, {1}, {tunnel_route(*g, 0, {0}, kL62 - 1)}), ""); + EXPECT_EQ(err({0}, {1}, {p0, tunnel_route(*g, 0, {1}, -1)}), "routes[1]: weight must be an integer in [0, 2^62)"); +} + +// F23: the routes in list order, each route's checks in order. +TEST(FromRoutes, Order) { + const auto g = par2(4, 8); + EXPECT_EQ(error_of([&] { + (void)program(*g, {0}, {1}, {tunnel_route(*g, 0, {0}, kL62), tunnel_route(*g, 5, {0})}); + }), + "routes[0]: weight must be an integer in [0, 2^62)"); + // The weight is checked after the shape: route 0's head text comes first. + EXPECT_EQ(error_of([&] { (void)program(*g, {0}, {1}, {tunnel_route(*g, 1, {0}, kL62)}); }), + "routes[0]: head 1 is not a source"); +} + +// F24: a zero-weight route keeps its index and is validated in full. +TEST(FromRoutes, ZeroWeightKept) { + const auto g = par2(4, 8); + const auto prog = program(*g, {0}, {1}, {tunnel_route(*g, 0, {0}, 0), tunnel_route(*g, 0, {1})}); + std::vector> got; + for (const auto& t : prog->tunnels()) got.emplace_back(t.index, t.weight); + EXPECT_EQ(got, (std::vector> {{0, 0}, {1, 1}})); + EXPECT_EQ(error_of([&] { (void)program(*g, {0}, {1}, {tunnel_route(*g, 1, {0}, 0)}); }), + "routes[0]: head 1 is not a source"); +} + +// F25: tunnels listed with indices 0 and 2 (the split route takes 1); local_index 0 and 2 (R2). +TEST(FromRoutes, MixedIndices) { + const auto g = par2(4, 8); + const auto prog = + program(*g, {0}, {1}, {tunnel_route(*g, 0, {1}), dag_route(*g, 0, {0, 1}), tunnel_route(*g, 0, {0})}); + std::vector> got; + for (const auto& t : prog->tunnels()) got.emplace_back(t.index, t.local_index); + EXPECT_EQ(got, (std::vector> {{0, 0}, {2, 2}})); +} + +// F26: the endpoints are normalized like a policy's (sorted, duplicates removed). +TEST(FromRoutes, Endpoints) { + const auto d = graph(4, kDiam); + const auto prog = program(*d, {1, 0, 1}, {3, 3}, {tunnel_route(*d, 0, {0, 2})}); + EXPECT_EQ(vec(prog->sources()), v({0, 1})); + EXPECT_EQ(vec(prog->destinations()), v({3})); +} + +// ---------------------------------------------------------------- C: Pinned's configuration + +// C1: the fields Pinned does not accept, in column order. +TEST(PinnedProgram, FieldTexts) { + const auto g = par2(4, 8); + const auto prog = tunnels(*g, {0}, {1}, {{0, {0}, 1}}); + FlowLedger fg(g); + auto base = [&] { return pinned_config(prog); }; + auto placement = base(); + placement.placement = EB; + auto origin = base(); + origin.origin = Origin::Equal; + auto selection = base(); + selection.selection = PathSelection(); + auto weights = base(); + weights.weights = WeightBasis::Capacity; + auto edge_weights = base(); + edge_weights.edge_weights = std::make_shared>(Amounts {1, 1}); + auto all = placement; + all.origin = Origin::Equal; + all.selection = PathSelection(); + const std::vector> cases = { + {placement, "Pinned does not accept placement"}, {origin, "Pinned does not accept origin"}, + {selection, "Pinned does not accept selection"}, {weights, "Pinned does not accept weights"}, + {edge_weights, "Pinned does not accept edge_weights"}, {all, "Pinned does not accept placement"}, + }; + for (const auto& [cfg, text] : cases) EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), cfg); }), text); +} + +// C2: the program's endpoints must be the policy's. +TEST(PinnedProgram, Endpoints) { + const auto g = graph(3, {{0, 1, 1, 1}, {0, 2, 1, 1}}); + const auto prog = tunnels(*g, {0}, {1}, {{0, {0}, 1}}); + FlowLedger fg(g); + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1, 2}), pinned_config(prog)); }), + "program endpoints do not match policy endpoints"); + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1, 1}), pinned_config(prog)); }), ""); +} + +// C3, C4: the ownership texts, before the configuration matrix (ERR-ownership-texts). +TEST(PinnedProgram, Ownership) { + const auto g = par2(4, 8); + const auto other = par2(4, 8); + const auto prog = tunnels(*g, {0}, {1}, {{0, {0}, 1}}); + const auto foreign = tunnels(*other, {0}, {1}, {{0, {0}, 1}}); + FlowLedger fg(g); + auto with_placement = pinned_config(foreign); + with_placement.placement = EB; + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), pinned_config(foreign)); }), + "program belongs to another graph"); + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), with_placement); }), "program belongs to another graph"); + EXPECT_EQ(error_of([&] { + FlowPolicy p(fg, v({0}), v({1}), pinned_config(prog, LOSSLESS, no_edges(*other, {0}))); + }), + "black_holes belongs to another graph"); + const auto mask = other->eligibility({}, std::vector {0}); + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), pinned_config(prog), &mask); }), + "foreign Eligibility: built for another graph"); + DagCache cache(*other); + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), pinned_config(prog), nullptr, &cache); }), + "foreign DagCache: bound to another graph"); + // The mask is checked before the program. + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), pinned_config(foreign), &mask); }), + "foreign Eligibility: built for another graph"); +} + +// C5: the endpoint sets come first. +TEST(PinnedProgram, Order) { + const auto g = par2(4, 8); + const auto foreign = tunnels(*par2(4, 8), {0}, {1}, {{0, {0}, 1}}); + FlowLedger fg(g); + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, std::vector {}, v({1}), pinned_config(foreign)); }), + "sources: the node set is empty"); +} + +// C8: several sources and destinations. +TEST(PinnedProgram, SeveralEndpoints) { + const auto g = graph(4, kRel); + const auto prog = tunnels(*g, {0, 1}, {3}, {{0, {0, 2}, 1}, {1, {1, 2}, 1}}); + EXPECT_EQ(pinned(g, prog)->place(INF).placed, 10); + const auto two = graph(4, {{0, 2, 3, 1}, {1, 3, 4, 1}}); + const auto many = tunnels(*two, {0, 1}, {2, 3}, {{0, {0}, 1}, {1, {1}, 1}}); + EXPECT_EQ(pinned(two, many)->place(INF).placed, 6); // RR(6, 2) = (3, 3) fits, RR(7, 2) = (4, 3) does not +} + +// ---------------------------------------------------------------- L: lossless bounds + +namespace { +Amount bound(const std::shared_ptr& g, const std::vector& specs, const std::vector& s = {0}, + const std::vector& d = {1}) { + return pinned(g, tunnels(*g, s, d, specs))->place(INF).placed; +} +} // namespace + +// L1 to L6: E-duplicates, E-deduplicated, E-static-path-fill, E-zero-first, E-zero-last, +// E-support-pinned-bound. +TEST(PinnedProgram, Duplicates) { + EXPECT_EQ(bound(par2(4, 8), {{0, {0}, 1}, {0, {1}, 1}, {0, {1}, 1}}), 12); + EXPECT_EQ(bound(par2(4, 8), {{0, {0}, 1}, {0, {1}, 1}}), 8); + EXPECT_EQ(bound(par2(6, 4), {{0, {0}, 1}, {0, {1}, 1}}), 9); + EXPECT_EQ(bound(par2(0, 4), {{0, {0}, 1}, {0, {1}, 1}}), 0); + EXPECT_EQ(bound(par2(4, 0), {{0, {0}, 1}, {0, {1}, 1}}), 1); + EXPECT_EQ(bound(graph(4, kPinloss), {{0, {0, 2}, 1}, {0, {1, 3}, 1}}, {0}, {3}), 4); + // Records per entry: L1's three records, entries 0, 1, 2 (D2 below compares their rows). + const auto g = par2(4, 8); + auto p = pinned(g, tunnels(*g, {0}, {1}, {{0, {0}, 1}, {0, {1}, 1}, {0, {1}, 1}})); + (void)p->place(INF); + EXPECT_EQ(delivered(*p.p), (Amounts {4, 4, 4})); +} + +// L7: H(15, (1, 2)) = (5, 10) fits, H(16) = (5, 11) does not. +TEST(PinnedProgram, WeightedTunnels) { EXPECT_EQ(bound(par2(10, 10), {{0, {0}, 1}, {0, {1}, 2}}), 15); } + +// L8, D3: a weight-0 tunnel carries nothing; its record and row exist with zeros. +TEST(PinnedProgram, ZeroWeight) { + const auto g = par2(4, 8); + auto p = pinned(g, tunnels(*g, {0}, {1}, {{0, {0}, 0}, {0, {1}, 1}})); + const auto r = p->place(INF); + EXPECT_EQ(r.placed, 8); + EXPECT_EQ(entries(*p.p), (std::vector> {0, 1})); + EXPECT_EQ(delivered(*p.p), (Amounts {0, 8})); + EXPECT_EQ(rows(r), (Rows {{0, 0, UP, 0, 0, 0}, {1, 0, UP, 8, 8, 0}})); + // Created at preparation: a zero-delivery record before any positive placement of it. + auto q = pinned(g, tunnels(*g, {0}, {1}, {{0, {0}, 0}, {0, {1}, 1}})); + (void)q->place(1); + EXPECT_EQ(delivered(*q.p), (Amounts {0, 1})); +} + +// L9 to L11: INC-lossless, INC-lossy, INC-lossless-refusal. +TEST(PinnedProgram, Increments) { + const auto g = graph(3, kInc); + const auto prog = tunnels(*g, {0, 1}, {2}, {{0, {0}, 1}, {1, {1}, 1}}); + auto p = pinned(g, prog); + EXPECT_EQ(p->place(3).placed, 2); + EXPECT_EQ(p->place(1).placed, 0); + auto q = pinned(g, prog, LOSSY); + const auto r1 = q->place(3); + EXPECT_EQ(r1.placed, 2); + EXPECT_EQ(r1.call_drops, (Drops {{0, 1}})); + const auto r2 = q->place(1); // RR(4) - RR(3) = (0, 1) + EXPECT_EQ(r2.placed, 1); + EXPECT_TRUE(r2.call_drops.empty()); + EXPECT_EQ(lo(r2.by_source[0].offered), 2); + EXPECT_EQ(lo(r2.by_source[1].offered), 2); + const auto one = graph(2, kOne); + auto ledger = std::make_shared(one); + auto other = make(one, {0}, {1}, cost_only(), nullptr, ledger); + (void)other->place(8); + auto t = pinned(one, tunnels(*one, {0}, {1}, {{0, {0}, 1}}), LOSSLESS, nullptr, nullptr, ledger); + EXPECT_EQ(t->place(5).placed, 2); + other->remove(); + (void)other->place(5); + EXPECT_EQ(t->place(1).placed, 1); +} + +// L12, L13: +inf is the bound, EXHAUSTED; Lossy rejects it. +TEST(PinnedProgram, Infinite) { + const auto g = par2(6, 4); + const auto prog = tunnels(*g, {0}, {1}, {{0, {0}, 1}, {0, {1}, 1}}); + const auto r = pinned(g, prog)->place(INF); + EXPECT_EQ(r.placed, 9); + EXPECT_EQ(r.termination, Termination::Exhausted); + EXPECT_FALSE(r.remaining.has_value()); + EXPECT_FALSE(r.requested.has_value()); + auto lossy = pinned(g, prog, LOSSY); + EXPECT_EQ(error_of([&] { (void)lossy->place(INF); }), kFinite); +} + +// L14: a tunnel and a split route side by side: RR(8, 2) = (4, 4). +TEST(PinnedProgram, MixedEntries) { + const auto g = par2(4, 8); + auto p = pinned(g, program(*g, {0}, {1}, {tunnel_route(*g, 0, {0}), dag_route(*g, 0, {1})})); + const auto r = p->place(INF); + EXPECT_EQ(r.placed, 8); + EXPECT_EQ(entries(*p.p), (std::vector> {0, 1})); + EXPECT_EQ(delivered(*p.p), (Amounts {4, 4})); + EXPECT_EQ(rows(r), (Rows {{0, 0, UP, 4, 4, 0}})); +} + +// L15: E-split-contexts (each identical route splits its own unit) and E-split-contexts-pooled. +TEST(PinnedProgram, SplitContextsAreSeparate) { + const auto g = par2(1, 1); + const auto d = dag_of(*g, {0, 1}); + const auto prog = program(*g, {0}, {1}, {Route {0, d, 1}, Route {0, d, 1}}); + EXPECT_EQ(pinned(g, prog)->place(INF).placed, 1); + const auto r = pinned(g, prog, LOSSY)->replace(2, kEdges); + EXPECT_EQ(r.call_drops, (Drops {{0, 1}})); + EXPECT_EQ(*r.edge_flows, (Amounts {1, 0})); + const auto pooled = make(g, {0}, {1}, cost_only())->place(INF, kEdges); + EXPECT_EQ(pooled.placed, 2); + EXPECT_EQ(*pooled.edge_flows, (Amounts {1, 1})); +} + +// ---------------------------------------------------------------- Y: losses inside one program + +namespace { +struct LossyRun { + PlacementResult r; + std::vector> got; // per tunnel (assigned, delivered, dropped) +}; +LossyRun lossy_rows(const std::shared_ptr& g, const std::vector& s, const std::vector& d, + const std::vector& specs, Amount offer) { + LossyRun out {pinned(g, tunnels(*g, s, d, specs), LOSSY)->replace(offer), {}}; + for (const auto& t : out.r.by_tunnel) out.got.emplace_back(lo(t.assigned), t.delivered, lo(t.dropped)); + return out; +} +using Triples = std::vector>; +Amounts delivered_of(const LossyRun& x) { + Amounts out; + for (const auto& [a, d, l] : x.got) out.push_back(d); + return out; +} +} // namespace + +// Y1 to Y8: D-merge, D-key-tie, D-rounding, D-hierarchy, D-zero-service, D-subdivision-before +// and -after, E-support-pinned-loss (Z1's rows). +TEST(ProgramLossy, Merge) { + EXPECT_EQ(lossy_rows(graph(2, {{0, 1, 9, 1}}), {0}, {1}, {{0, {0}, 2}, {0, {0}, 1}}, 12).got, + (Triples {{8, 6, 2}, {4, 3, 1}})); + EXPECT_EQ(lossy_rows(graph(2, {{0, 1, 1, 1}}), {0}, {1}, {{0, {0}, 1}, {0, {0}, 1}}, 2).got, + (Triples {{1, 1, 0}, {1, 0, 1}})); + EXPECT_EQ(lossy_rows(graph(2, {{0, 1, 3, 1}}), {0}, {1}, {{0, {0}, 5}, {0, {0}, 1}, {0, {0}, 1}}, 7).got, + (Triples {{5, 3, 2}, {1, 0, 1}, {1, 0, 1}})); + const auto hier = lossy_rows(graph(4, kHier), {0, 1}, {3}, {{0, {0, 2}, 1}, {0, {0, 2}, 1}, {1, {1, 2}, 1}}, 4); + EXPECT_EQ(delivered_of(hier), (Amounts {1, 0, 0})); + EXPECT_EQ(hier.got, (Triples {{1, 1, 0}, {1, 0, 1}, {2, 0, 2}})); + const auto zero = lossy_rows(graph(2, {{0, 1, 0, 1}}), {0}, {1}, {{0, {0}, 1}}, 2); + EXPECT_EQ(zero.got, (Triples {{2, 0, 2}})); + EXPECT_EQ(zero.r.call_drops, (Drops {{0, 2}})); + const auto before = graph(6, {{0, 1, 1, 1}, {1, 2, 1, 1}, {1, 3, 1, 1}, {1, 4, 1, 1}, + {2, 5, 1, 1}, {3, 5, 1, 1}, {4, 5, 1, 1}}); + EXPECT_EQ(delivered_of(lossy_rows(before, {0}, {5}, {{0, {0, 1, 4}, 1}, {0, {0, 2, 5}, 1}, {0, {0, 3, 6}, 1}}, 3)), + (Amounts {1, 0, 0})); + const auto after = graph(7, {{0, 1, 1, 1}, {1, 2, 1, 1}, {1, 3, 1, 1}, {1, 4, 1, 1}, + {2, 6, 1, 1}, {3, 5, 1, 1}, {4, 5, 1, 1}, {6, 5, 1, 1}}); + EXPECT_EQ(delivered_of(lossy_rows(after, {0}, {5}, {{0, {0, 1, 4, 7}, 1}, {0, {0, 2, 5}, 1}, {0, {0, 3, 6}, 1}}, 3)), + (Amounts {1, 0, 0})); + const auto pin = lossy_rows(graph(4, kPinloss), {0}, {3}, {{0, {0, 2}, 1}, {0, {1, 3}, 1}}, 12); + EXPECT_EQ(pin.got, (Triples {{6, 2, 4}, {6, 6, 0}})); + EXPECT_EQ(pin.r.call_drops, (Drops {{2, 4}})); + EXPECT_EQ(pin.r.placed, 8); +} + +// Y9: no link can drop (U0 = 2 on both barriers' candidates): no rounds. +TEST(ProgramCycles, NoBarrierNoRounds) { + const auto run = lossy_rows(cyc(2, 2), {4}, {5}, {{4, kCycT0, 1}, {4, kCycT1, 1}}, 2); + EXPECT_EQ(delivered_of(run), (Amounts {1, 1})); + EXPECT_TRUE(run.r.call_drops.empty()); +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(detail::thread_lossy_counters().groups, 0); + EXPECT_EQ(detail::thread_lossy_counters().rounds, 0); +#endif +} + +// Y10: X and Y wait on each other; the rounds from zero settle at round 3. +TEST(ProgramCycles, Converges) { + const auto run = lossy_rows(cyc(1, 1), {4}, {5}, {{4, kCycT0, 1}, {4, kCycT1, 1}}, 2); + EXPECT_EQ(run.got, (Triples {{1, 1, 0}, {1, 0, 1}})); + EXPECT_EQ(run.r.call_drops, (Drops {{3, 1}})); +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(detail::thread_lossy_counters().groups, 1); + EXPECT_EQ(detail::thread_lossy_counters().rounds, 3); +#endif +} + +// Y11: amounts (1, 2): the rounds alternate between two states; nothing is published. +TEST(ProgramCycles, PeriodTwo) { + const auto g = cyc(1, 2); + auto p = pinned(g, tunnels(*g, {4}, {5}, {{4, kCycT0, 1}, {4, kCycT1, 2}}), LOSSY); + const auto ledger = ledger_state(*p.ledger); + const auto before = epoch(*p.p); + EXPECT_EQ(error_of([&] { (void)p->replace(3); }), kPeriodTwo); +#if NETGRAPH_CORE_PRIVATE_HOOKS + // The error comes at round 3, the first round whose state equals the one two rounds before. + EXPECT_EQ(detail::thread_lossy_counters().groups, 1); + EXPECT_EQ(detail::thread_lossy_counters().rounds, 3); +#endif + expect_same(ledger_state(*p.ledger), ledger, "period two"); + expect_unchanged(epoch(*p.p), before, "period two"); + EXPECT_EQ(p->program(), nullptr); + EXPECT_EQ(error_of([&] { (void)p->place(3); }), kPeriodTwo); + EXPECT_EQ(error_of([&] { (void)p->evaluate(3); }), kPeriodTwo); +} + +// Y12: three barriers that never settle: the round limit 64 * 3. +TEST(ProgramCycles, RoundLimit) { + const auto lim = graph(8, {{0, 1, 1, 1}, {1, 4, 1000, 1}, {2, 3, 2, 1}, {3, 0, 1000, 1}, {3, 7, 1000, 1}, + {4, 5, 1, 1}, {5, 2, 1000, 1}, {5, 7, 1000, 1}, {6, 0, 1000, 1}, {6, 2, 1000, 1}}); + const auto prog = tunnels(*lim, {6}, {7}, {{6, {8, 0, 1, 5, 6, 2, 4}, 2}, {6, {9, 2, 3, 0, 1, 5, 7}, 3}}); + auto p = pinned(lim, prog, LOSSY); + EXPECT_EQ(error_of([&] { (void)p->replace(3); }), kRoundLimit); +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(detail::thread_lossy_counters().rounds, 192); +#endif +} + +// Y13, Y14: Y split in two in series changes nothing (serial normalization). +TEST(ProgramCycles, SubdivisionInvariant) { + const auto run = lossy_rows(cycs(1, 1, 1), {4}, {5}, {{4, kCycsT0, 1}, {4, kCycsT1, 1}}, 2); + EXPECT_EQ(run.got, (Triples {{1, 1, 0}, {1, 0, 1}})); + EXPECT_EQ(run.r.call_drops, (Drops {{3, 1}})); + const auto g = cycs(1, 2, 2); + auto p = pinned(g, tunnels(*g, {4}, {5}, {{4, kCycsT0, 1}, {4, kCycsT1, 2}}), LOSSY); + EXPECT_EQ(error_of([&] { (void)p->replace(3); }), kPeriodTwo); +} + +#if NETGRAPH_CORE_PRIVATE_HOOKS +// Y15 through the hook: an iterated result corrupted after its rounds fails the independent check +// with std::runtime_error, and nothing is published. +TEST(ProgramCycles, VerificationCatchesACorruptedResult) { + const auto g = cyc(1, 1); + auto p = pinned(g, tunnels(*g, {4}, {5}, {{4, kCycT0, 1}, {4, kCycT1, 1}}), LOSSY); + const auto ledger = ledger_state(*p.ledger); + const auto before = epoch(*p.p); + detail::thread_lossy_counters().corrupt = true; + std::string what; + try { + (void)p->replace(2); + } catch (const std::runtime_error& e) { + what = e.what(); + } + detail::thread_lossy_counters().corrupt = false; + EXPECT_EQ(what, "lossy forwarding fixed-point verification failed"); + expect_same(ledger_state(*p.ledger), ledger, "corrupted"); + expect_unchanged(epoch(*p.p), before, "corrupted"); + // Control: the same call without the corruption succeeds. + EXPECT_EQ(p->replace(2).placed, 1); +} +#endif + +// ---------------------------------------------------------------- R: replay under a mask + +namespace { +// G1U's optimized program: [(0, [e0, e2], 2), (0, [e1, e3], 10)]. +std::shared_ptr g1u_program(const std::shared_ptr& g) { + auto solver = make(g, {0}, {3}, global()); + const auto prog = solver->replace(12).program; + EXPECT_EQ(listing(*prog), (Listing {{0, {0, 2}, 2}, {0, {1, 3}, 10}})); + return prog; +} +} // namespace + +// R1, the 8.5 call with a Global program: tunnel 0 FAILED, the head's 12 goes to tunnel 1. +TEST(Replay, GlobalProgram) { + const auto g = graph(4, kG1U); + const auto prog = g1u_program(g); + const auto r = pinned(g, prog, LOSSY, no_edges(*g, {2}))->replace(12); + EXPECT_EQ(r.placed, 10); + EXPECT_EQ(rows(r), (Rows {{0, 0, FAILED, 0, 0, 0}, {1, 0, UP, 12, 10, 2}})); + EXPECT_EQ(r.call_drops, (Drops {{1, 2}})); + EXPECT_EQ(pinned(g, prog, LOSSLESS, no_edges(*g, {2}))->place(INF).placed, 10); +} + +// R2: E-source-survivor: H(16, (3, 1)) = (12, 4). +TEST(Replay, SourceSurvivor) { + const auto g = graph(4, kSurv); + auto solver = make(g, {0, 1, 2}, {3}, global()); + const auto prog = solver->place(9).program; + EXPECT_EQ(*prog->source_weights(), (std::vector> {{0, 3}, {1, 1}, {2, 5}})); + const auto r = pinned(g, prog, LOSSY, no_nodes(*g, {2}))->replace(16); + EXPECT_EQ(r.placed, 4); + EXPECT_EQ(lo(r.by_source[0].offered), 12); + EXPECT_EQ(lo(r.by_source[1].offered), 4); + EXPECT_EQ(lo(r.by_source[2].offered), 0); + EXPECT_EQ(r.call_drops, (Drops {{0, 9}, {1, 3}})); + EXPECT_EQ(std::get<2>(rows(r)[2]), FAILED); + EXPECT_EQ(pinned(g, prog, LOSSLESS, no_nodes(*g, {2}))->place(INF).placed, 4); +} + +// R3: the topology basis keeps head 1 (it still reaches 2 over e2) and it loses its share. +TEST(Replay, TopologyBasisKeepsTheHead) { + const auto g = graph(3, kRB); + auto solver = make(g, {0, 1}, {2}, global()); + const auto prog = solver->place(10).program; + EXPECT_EQ(listing(*prog), (Listing {{0, {0}, 5}, {1, {1}, 5}})); + const auto r = pinned(g, prog, LOSSY, no_edges(*g, {1}))->replace(10); + EXPECT_EQ(r.placed, 5); + EXPECT_EQ(r.source_loss, c(5)); + EXPECT_EQ(pinned(g, prog, LOSSLESS, no_edges(*g, {1}))->place(INF).placed, 1); +} + +// R4: the supplied basis drops head 1: head 0 gets all 10. +TEST(Replay, SuppliedBasisDropsTheHead) { + const auto g = graph(3, kRB); + const auto prog = tunnels(*g, {0, 1}, {2}, {{0, {0}, 1}, {1, {1}, 1}}); + const auto r = pinned(g, prog, LOSSY, no_edges(*g, {1}))->replace(10); + EXPECT_EQ(r.placed, 5); + EXPECT_EQ(r.call_drops, (Drops {{0, 5}})); + EXPECT_EQ(r.source_loss, c(0)); + EXPECT_EQ(pinned(g, prog, LOSSLESS, no_edges(*g, {1}))->place(INF).placed, 5); +} + +// R5: a link of free capacity 0 is not a failure. +TEST(Replay, ZeroCapacityIsNotFailed) { + const auto g = graph(4, kG1U); + const auto prog = g1u_program(g); + const auto r = pinned(g, prog, LOSSY, nullptr, nullptr, std::make_shared(g, Amounts {2, 0, 2, 10})) + ->replace(12); + EXPECT_EQ(r.placed, 2); + EXPECT_EQ(rows(r), (Rows {{0, 0, UP, 2, 2, 0}, {1, 0, UP, 10, 0, 10}})); + EXPECT_EQ(r.call_drops, (Drops {{1, 10}})); +} + +// R6: the remaining head's captured weight is 0: the whole offer is lost at the sources. +TEST(Replay, AllRemainingWeightsZero) { + const auto g = graph(3, {{0, 2, 5, 1}, {1, 2, 5, 1}}); + auto solver = make(g, {0, 1}, {2}, global()); + const auto prog = solver->place(1).program; + const auto r = pinned(g, prog, LOSSY, no_nodes(*g, {0}))->replace(4); + EXPECT_EQ(r.termination, Termination::NoActiveWeight); + EXPECT_EQ(r.source_loss, c(4)); + EXPECT_EQ(r.placed, 0); + EXPECT_EQ(rows(r), (Rows {{0, 0, FAILED, 0, 0, 0}})); + const auto ll = pinned(g, prog, LOSSLESS, no_nodes(*g, {0}))->replace(4); + EXPECT_EQ(ll.termination, Termination::NoActiveWeight); + EXPECT_EQ(ll.placed, 0); +} + +// R7: STALE-remote-tail-repair: the branch 0 -> 2 is pruned. +TEST(Replay, SplitRoutePruned) { + const auto g = graph(4, kDiam); + auto producer = make(g, {0}, {3}, cost_only(EB, LOSSY)); + const auto prog = producer->place(1).program; + const auto r = pinned(g, prog, LOSSY, no_edges(*g, {3}))->replace(100, kEdges); + EXPECT_EQ(r.placed, 100); + EXPECT_EQ(*r.edge_flows, (Amounts {100, 0, 100, 0})); +} + +// R8: STALE-tunnel-node-repair. +TEST(Replay, TunnelFailedByNode) { + const auto g = graph(4, kTun); + const auto prog = tunnels(*g, {0}, {3}, {{0, {0, 2}, 1}, {0, {1, 3}, 1}}); + const auto r = pinned(g, prog, LOSSY, no_nodes(*g, {2}))->replace(10); + EXPECT_EQ(rows(r), (Rows {{0, 0, UP, 10, 10, 0}, {1, 0, FAILED, 0, 0, 0}})); + EXPECT_EQ(r.placed, 10); + EXPECT_EQ(pinned(g, prog, LOSSLESS, no_nodes(*g, {2}))->place(INF).placed, 10); +} + +// R9: weights frozen at preparation: a member pruned there stays pruned in every replay. +TEST(Replay, FrozenWeights) { + const auto z = par2(0, 10); + auto producer = make(z, {0}, {1}, cost_only(W, LOSSY)); + const auto wp = producer->place(1).program; + const auto r = pinned(z, wp, LOSSY)->replace(5); + EXPECT_EQ(r.placed, 5); + EXPECT_TRUE(r.call_drops.empty()); + // A snapshot over the baseline (0, 10) prunes e0; the replay on a fresh ledger at full capacity + // still sends everything to e1: 10 delivered, 5 dropped there. + const auto g = par2(10, 10); + auto snap = make(g, {0}, {1}, weighted(LOSSY, WeightBasis::ResidualSnapshot), nullptr, + std::make_shared(g, Amounts {0, 10})); + const auto sp = snap->place(1).program; + const auto rr = pinned(g, sp, LOSSY)->replace(15, kEdges); + EXPECT_EQ(rr.placed, 10); + EXPECT_EQ(*rr.edge_flows, (Amounts {0, 10})); + EXPECT_EQ(rr.call_drops, (Drops {{1, 5}})); +} + +// ---------------------------------------------------------------- S: stale forwarding + +// S1 to S11: STALE-remote-tail, -wcmp-member, -wcmp-zero-capacity, -relief-original, -relief, +// -tunnel-node, -pooled-original, -pooled-remainder, -all-zero-weight, -black-source, +// -black-source-tunnel, -mask-and-black-hole. +TEST(StaleForwarding, RemoteTail) { + { + const auto g = graph(4, kDiam); + auto p = make(g, {0}, {3}, cost_only(EB, LOSSY)); + (void)p->replace(100); + const auto installed = p->program(); + const auto bh = g->eligibility({}, std::vector {3}); + const auto r = p->forward(100, &bh); + EXPECT_EQ(r.placed, 50); + EXPECT_EQ(r.call_drops, (Drops {{3, 50}})); + EXPECT_EQ(p->program(), installed); + EXPECT_FALSE(r.routes_changed || r.weights_changed); + EXPECT_EQ(p->replace(100).placed, 100); + } + { + const auto w = graph(2, {{0, 1, 10, 1}, {0, 1, 40, 1}}); + auto q = make(w, {0}, {1}, cost_only(W, LOSSY)); + (void)q->replace(40); + const auto bh = w->eligibility({}, std::vector {0}); + const auto r = q->forward(40, &bh); + EXPECT_EQ(r.placed, 32); + EXPECT_EQ(r.call_drops, (Drops {{0, 8}})); + } + { + const auto wz = graph(2, {{0, 1, 0, 1}, {0, 1, 40, 1}}); + auto q = make(wz, {0}, {1}, cost_only(W, LOSSY)); + (void)q->replace(1); + EXPECT_EQ(q->forward(40).placed, 40); + } + { + const auto rel = graph(4, kRel); + const auto prog = tunnels(*rel, {0, 1}, {3}, {{0, {0, 2}, 1}, {1, {1, 2}, 1}}); + EXPECT_EQ(rows(pinned(rel, prog, LOSSY)->replace(20)), (Rows {{0, 0, UP, 10, 5, 5}, {1, 1, UP, 10, 5, 5}})); + EXPECT_EQ(rows(pinned(rel, prog, LOSSY, nullptr, no_edges(*rel, {0}))->replace(20)), + (Rows {{0, 0, BLACKHOLED, 10, 0, 10}, {1, 1, UP, 10, 10, 0}})); + } + { + const auto t = graph(4, kTun); + const auto tp = tunnels(*t, {0}, {3}, {{0, {0, 2}, 1}, {0, {1, 3}, 1}}); + const auto r = pinned(t, tp, LOSSY, nullptr, no_nodes(*t, {2}))->replace(10); + EXPECT_EQ(rows(r), (Rows {{0, 0, UP, 5, 5, 0}, {1, 0, BLACKHOLED, 5, 0, 5}})); + EXPECT_EQ(r.call_drops, (Drops {{1, 5}})); + EXPECT_EQ(pinned(t, tp, LOSSLESS, nullptr, no_nodes(*t, {2}))->replace(10).placed, 1); + } + { + const auto pool = graph(4, kPool2); + auto p = make(pool, {0, 1}, {3}, cost_only(EB, LOSSY)); + (void)p->replace(0); + const auto r = p->forward(2, nullptr, kEdges); + EXPECT_EQ(r.placed, 2); + EXPECT_EQ(*r.edge_flows, (Amounts {1, 1, 1, 1})); + const auto bh = pool->eligibility({}, std::vector {0, 3}); + const auto s8 = p->forward(2, &bh); + EXPECT_EQ(s8.placed, 1); + EXPECT_EQ(s8.call_drops, (Drops {{0, 1}})); + } + { + const auto zero = graph(2, {{0, 1, 0, 1}}); + auto q = make(zero, {0}, {1}, cost_only(W, LOSSY)); + (void)q->replace(0); + const auto r = q->forward(2); + EXPECT_EQ(r.source_loss, c(2)); + EXPECT_EQ(r.termination, Termination::NoActiveWeight); + } + { + const auto one = graph(2, kOne); + auto q = make(one, {0}, {1}, cost_only(EB, LOSSY)); + (void)q->replace(0); + const auto bh = one->eligibility(std::vector {0}, {}); + const auto r = q->forward(10, &bh); + EXPECT_EQ(r.source_loss, c(10)); + EXPECT_TRUE(r.call_drops.empty()); + EXPECT_EQ(r.placed, 0); + const auto s11 = pinned(one, tunnels(*one, {0}, {1}, {{0, {0}, 1}}), LOSSY, nullptr, no_nodes(*one, {0}))->replace(10); + EXPECT_EQ(rows(s11), (Rows {{0, 0, BLACKHOLED, 0, 0, 0}})); + EXPECT_EQ(s11.source_loss, c(10)); + } + { + // S12: STALE-mask-and-black-hole: a masked and black-holed element is masked. + const auto m = graph(5, kMB); + const auto mp = tunnels(*m, {0}, {4}, {{0, {0, 3}, 1}, {0, {1, 4}, 1}, {0, {2, 5}, 1}}); + const auto r = pinned(m, mp, LOSSY, no_edges(*m, {3}), no_edges(*m, {3, 4}))->replace(10); + EXPECT_EQ(rows(r), (Rows {{0, 0, FAILED, 0, 0, 0}, {1, 0, BLACKHOLED, 5, 0, 5}, {2, 0, UP, 5, 5, 0}})); + EXPECT_EQ(r.call_drops, (Drops {{4, 5}})); + } +} + +// S13: R1's program with e2 black-holed instead of masked. +TEST(StaleForwarding, GlobalProgram) { + const auto g = graph(4, kG1U); + const auto prog = g1u_program(g); + const auto r = pinned(g, prog, LOSSY, nullptr, no_edges(*g, {2}))->replace(12); + EXPECT_EQ(rows(r), (Rows {{0, 0, BLACKHOLED, 2, 0, 2}, {1, 0, UP, 10, 10, 0}})); + EXPECT_EQ(r.call_drops, (Drops {{2, 2}})); + // H(4, (2, 10)) = (0, 4) fits; H(5, (2, 10)) = (1, 4) sends a unit into the black hole. + EXPECT_EQ(pinned(g, prog, LOSSLESS, nullptr, no_edges(*g, {2}))->replace(12).placed, 4); +} + +// S14: an all-allowed Eligibility is no black hole. +TEST(StaleForwarding, AllAllowedIsNone) { + const auto g = graph(4, kG1U); + const auto prog = g1u_program(g); + const auto allowed = std::make_shared(g->eligibility()); + const auto with = pinned(g, prog, LOSSY, nullptr, allowed)->replace(12); + const auto without = pinned(g, prog, LOSSY)->replace(12); + EXPECT_EQ(rows(with), rows(without)); + EXPECT_EQ(with.placed, 12); + EXPECT_EQ(with.call_drops, without.call_drops); + // A forward with an all-allowed value equals a forward without. + auto p = make(g, {0}, {3}, cost_only(EB, LOSSY)); + (void)p->replace(12); + const auto all = g->eligibility(); + EXPECT_EQ(p->forward(12, &all).placed, p->forward(12).placed); +} + +// S15: place, evaluate, replace, capacity and sensitivity all see a Pinned policy's black holes +// (S6: TUN, node 2 black-holed). +TEST(StaleForwarding, EveryOperation) { + const auto t = graph(4, kTun); + const auto tp = tunnels(*t, {0}, {3}, {{0, {0, 2}, 1}, {0, {1, 3}, 1}}); + const auto bh = no_nodes(*t, {2}); + EXPECT_EQ(pinned(t, tp, LOSSY, nullptr, bh)->place(10).placed, 5); + EXPECT_EQ(pinned(t, tp, LOSSY, nullptr, bh)->evaluate(10).placed, 5); + EXPECT_EQ(pinned(t, tp, LOSSY, nullptr, bh)->replace(10).placed, 5); + EXPECT_EQ(capacity(*t, v({0}), v({3}), query(pinned_config(tp, LOSSY, bh), offer(10))).placed, 5); + EXPECT_EQ(capacity(*t, v({0}), v({3}), query(pinned_config(tp, LOSSLESS, bh))).placed, 1); + EXPECT_EQ(sensitivity(*t, v({0}), v({3}), query(pinned_config(tp, LOSSY, bh), offer(10)), 1).baseline.placed, 5); + // Controls without the black holes. + EXPECT_EQ(pinned(t, tp, LOSSY)->replace(10).placed, 10); + EXPECT_EQ(capacity(*t, v({0}), v({3}), query(pinned_config(tp))).placed, 20); +} + +// ---------------------------------------------------------------- O: operations + +// O1: evaluate publishes nothing: ledger, records and epoch counters unchanged. +TEST(Operations, EvaluatePublishesNothing) { + const auto g = par2(10, 10); + auto p = make(g, {0}, {1}, cost_only()); + (void)p->replace(6); + const auto ledger = ledger_state(*p.ledger); + const auto before = epoch(*p.p); + const auto r = p->evaluate(12); + EXPECT_EQ(r.placed, 12); + EXPECT_EQ(r.delivery_delta, 6); + EXPECT_NE(r.program, nullptr); + expect_same(ledger_state(*p.ledger), ledger, "evaluate"); + expect_unchanged(epoch(*p.p), before, "evaluate"); + EXPECT_EQ(p->place(0).requested, c(6)); +} + +// O2: replace retires the old ids and starts a new epoch. +TEST(Operations, ReplaceRetiresIds) { + const auto g = par2(10, 10); + auto p = make(g, {0}, {1}, cost_only()); + (void)p->place(4); + const auto old = p->records().front().flow_id; + const auto r = p->replace(6); + EXPECT_EQ(r.requested, c(6)); + EXPECT_EQ(r.admitted, c(6)); + EXPECT_NE(error_of([&] { (void)p.ledger->record(old); }), ""); + EXPECT_NE(p->records().front().flow_id, old); +} + +// O3, O10: forward keeps the frozen weights; replace takes a new snapshot; an identical replace +// sets no flag. +TEST(Operations, ForwardKeepsTheProgram) { + const auto g = par2(10, 10); + auto ledger = std::make_shared(g, Amounts {2, 10}); + auto a = make(g, {0}, {1}, weighted(LOSSLESS, WeightBasis::ResidualSnapshot), nullptr, ledger); + EXPECT_EQ(a->replace(6).placed, 6); + auto b = pinned(g, tunnels(*g, {0}, {1}, {{0, {1}, 1}}), LOSSLESS, nullptr, nullptr, ledger); + EXPECT_EQ(b->place(5).placed, 5); + const auto installed = a->program(); + const auto f = a->forward(12); + EXPECT_EQ(f.placed, 6); + EXPECT_FALSE(f.routes_changed || f.weights_changed); + EXPECT_EQ(a->program(), installed); + const auto r = a->replace(12); + EXPECT_EQ(r.placed, 7); + EXPECT_FALSE(r.routes_changed); + EXPECT_TRUE(r.weights_changed); +} + +TEST(Operations, IdenticalReplace) { + const auto g = par2(10, 10); + auto ledger = std::make_shared(g, Amounts {2, 10}); + auto a = make(g, {0}, {1}, weighted(LOSSLESS, WeightBasis::ResidualSnapshot), nullptr, ledger); + const auto r1 = a->replace(12); + const auto ids1 = ids(*a.p); + const auto r2 = a->replace(12); + EXPECT_EQ(r2.placed, r1.placed); + EXPECT_FALSE(r2.routes_changed || r2.weights_changed); + EXPECT_NE(ids(*a.p), ids1); + EXPECT_EQ(delivered(*a.p), (Amounts {r1.placed})); +} + +// O4, O5, S16: the forward texts. +TEST(Operations, ForwardTexts) { + const auto g = par2(10, 10); + auto p = make(g, {0}, {1}, cost_only(EB, LOSSY)); + EXPECT_EQ(error_of([&] { (void)p->forward(1); }), kNoProgram); + (void)p->place(1); + for (const auto& call : std::vector> {[&] { (void)p->forward(INF); }, + [&] { (void)p->replace(INF); }, + [&] { (void)p->evaluate(INF); }}) { + EXPECT_EQ(error_of(call), kFinite); + } + p->remove(); + EXPECT_EQ(error_of([&] { (void)p->forward(1); }), kNoProgram); + auto ca = make(g, {0}, {1}, capacity_aware()); + (void)ca->place(1); + EXPECT_EQ(error_of([&] { (void)ca->forward(1); }), kNoProgram); + const auto prog = tunnels(*g, {0}, {1}, {{0, {0}, 1}}); + auto pin = pinned(g, prog, LOSSY); + EXPECT_EQ(error_of([&] { (void)pin->place(INF); }), kFinite); + (void)pin->place(1); + EXPECT_EQ(error_of([&] { (void)pin->forward(1); }), "Pinned forwards with replace"); +} + +// V1 to V4: the order of a call's checks. +TEST(Operations, ForwardOrder) { + const auto g = par2(10, 10); + const auto other = par2(1, 1); + const auto foreign = other->eligibility({}, std::vector {0}); + auto pin = pinned(g, tunnels(*g, {0}, {1}, {{0, {0}, 1}})); + EXPECT_EQ(error_of([&] { (void)pin->forward(INF, &foreign); }), "Pinned forwards with replace"); + auto p = make(g, {0}, {1}, cost_only(EB, LOSSY)); + EXPECT_EQ(error_of([&] { (void)p->forward(-1); }), kNoProgram); + (void)p->place(1); + EXPECT_EQ(error_of([&] { (void)p->forward(-1, &foreign); }), "offer must be an integer in [0, 2^62) or permitted +inf"); + EXPECT_EQ(error_of([&] { (void)p->forward(INF, &foreign); }), kFinite); + EXPECT_EQ(error_of([&] { (void)p->forward(1, &foreign); }), "black_holes belongs to another graph"); + EXPECT_EQ(error_of([&] { (void)p->replace(-1); }), "offer must be an integer in [0, 2^62) or permitted +inf"); + EXPECT_EQ(error_of([&] { (void)p->replace(INF); }), kFinite); +} + +// O6: Lossless replace(+inf): the bound, EXHAUSTED. +TEST(Operations, LosslessInfinite) { + const auto r = make(par2(10, 10), {0}, {1}, cost_only())->replace(INF); + EXPECT_EQ(r.placed, 20); + EXPECT_FALSE(r.remaining.has_value()); + EXPECT_EQ(r.termination, Termination::Exhausted); +} + +// O7: a zero replace installs a program of two split routes and two records at zero (R21). +TEST(Operations, ZeroReplacePrograms) { + const auto g = graph(4, kPool2); + auto p = make(g, {0, 1}, {3}, cost_only()); + const auto r = p->replace(0); + EXPECT_EQ(r.termination, Termination::Complete); + EXPECT_TRUE(r.routes_changed); + EXPECT_TRUE(r.weights_changed); + ASSERT_NE(r.program, nullptr); + EXPECT_EQ(delivered(*p.p), (Amounts {0, 0})); +} + +// O8: a smaller replace: delivery_delta negative. +TEST(Operations, DeliveryDeltaNegative) { + auto p = make(par2(10, 10), {0}, {1}, cost_only()); + (void)p->replace(10); + const auto r = p->replace(4); + EXPECT_EQ(r.placed, 4); + EXPECT_EQ(r.delivery_delta, -6); +} + +// O9: place continues the replace's epoch (its ids kept). +TEST(Operations, PlaceContinuesTheEpoch) { + const auto g = par2(10, 10); + auto p = make(g, {0}, {1}, cost_only()); + (void)p->replace(6); + const auto before = ids(*p.p); + const auto r = p->place(3); + EXPECT_EQ(r.placed, 3); + EXPECT_EQ(r.requested, c(9)); + EXPECT_EQ(r.admitted, c(9)); + EXPECT_EQ(ids(*p.p), before); + auto q = make(g, {0}, {1}, cost_only(EB, LOSSY)); + (void)q->replace(6); + const auto lr = q->place(3); + EXPECT_EQ(lr.placed, 3); + EXPECT_EQ(lr.offered, c(9)); + EXPECT_EQ(lr.requested, c(9)); +} + +// O11: FLAGS-controller-increment. +TEST(Operations, ControllerWeights) { + const auto g = graph(2, {{0, 1, 20, 1}}); + auto p = make(g, {0}, {1}, global()); + const auto r1 = p->place(5); + EXPECT_TRUE(r1.routes_changed && r1.weights_changed); + const auto r2 = p->place(5); + EXPECT_FALSE(r2.routes_changed); + EXPECT_TRUE(r2.weights_changed); + EXPECT_EQ(listing(*r2.program), (Listing {{0, {0}, 10}})); + const auto r3 = p->replace(10); + EXPECT_FALSE(r3.routes_changed || r3.weights_changed); +} + +// O12: a re-solve that adds a path changes the routes. +TEST(Operations, ControllerRoutes) { + const auto g = graph(4, kB1); + auto q = make(g, {0, 1}, {3}, global()); + EXPECT_EQ(listing(*q->place(2).program), (Listing {{0, {0}, 2}})); + const auto r = q->place(10); + EXPECT_EQ(listing(*r.program), (Listing {{0, {0}, 2}, {1, {1, 2}, 10}})); + EXPECT_TRUE(r.routes_changed); +} + +// O13: FLAGS-fixed-offer: an offer-only change sets no flag. +TEST(Operations, OfferOnly) { + const auto one = graph(2, {{0, 1, 20, 1}}); + auto pin = pinned(one, tunnels(*one, {0}, {1}, {{0, {0}, 1}})); + (void)pin->replace(5); + for (const Amount x : {10, 10}) { + const auto before = ids(*pin.p); + const auto r = pin->replace(x); + EXPECT_FALSE(r.routes_changed || r.weights_changed) << x; + EXPECT_NE(ids(*pin.p), before); + } + auto cost = make(par2(10, 10), {0}, {1}, cost_only(EB, LOSSY)); + (void)cost->place(1); + for (const Amount x : {5, 7}) { + const auto r = cost->forward(x); + EXPECT_FALSE(r.routes_changed || r.weights_changed) << x; + } +} + +// O14: forward over a controller's program reproduces the solve; above it, EXHAUSTED (R18). +TEST(Operations, ForwardControllerProgram) { + const auto g = graph(4, kG1U); + auto p = make(g, {0}, {3}, global()); + (void)p->replace(12); + EXPECT_EQ(p->forward(12).placed, 12); + const auto r = p->forward(20); + EXPECT_EQ(r.placed, 12); + EXPECT_EQ(r.termination, Termination::Exhausted); +} + +// O15: remove() clears the program. +TEST(Operations, RemoveClearsTheProgram) { + for (const auto& cfg : {global(), cost_only()}) { + auto p = make(par2(10, 10), {0}, {1}, cfg); + (void)p->place(3); + EXPECT_NE(p->program(), nullptr); + p->remove(); + EXPECT_EQ(p->program(), nullptr); + const auto z = p->place(0); + EXPECT_EQ(z.program, nullptr); + EXPECT_EQ(z.placed, 0); + EXPECT_EQ(z.delivered, 0); + EXPECT_TRUE(z.by_tunnel.empty()); + } +} + +// O16: today's CapacityAware: replace is place on a fresh epoch, evaluate publishes nothing. +TEST(Operations, CapacityAwareTransitional) { + const auto g = graph(2, kOne); + auto p = make(g, {0}, {1}, capacity_aware()); + (void)p->place(2); + const auto old = ids(*p.p); + const auto r = p->replace(5); + EXPECT_EQ(r.placed, 5); + EXPECT_EQ(r.termination, Termination::Complete); + EXPECT_NE(ids(*p.p), old); + const auto state = ledger_state(*p.ledger); + EXPECT_EQ(p->evaluate(3).placed, 3); + expect_same(ledger_state(*p.ledger), state, "evaluate"); +} + +// O17: CostOnly's first positive call sets both flags (R21); the next none. +TEST(Operations, FirstProgramFlags) { + auto q = make(graph(4, kPool2), {0, 1}, {3}, cost_only()); + const auto r = q->place(2); + EXPECT_TRUE(r.routes_changed && r.weights_changed); + const auto r2 = q->place(2); + EXPECT_FALSE(r2.routes_changed || r2.weights_changed); +} + +// O18: evaluate's outputs describe the evaluated state (R8). +TEST(Operations, EvaluateOutputs) { + auto gl = make(graph(4, kB1), {0, 1}, {3}, global()); + (void)gl->place(2); + const auto r = gl->evaluate(12, OutputOptions {.edge_flows = true, .residual = true, .min_cut = true}); + EXPECT_EQ(*r.edge_flows, (Amounts {2, 10, 10})); + EXPECT_EQ(*r.residual, (Amounts {0, 0, 0})); + EXPECT_EQ(*r.min_cut, (std::vector {0, 1})); + EXPECT_EQ(gl->placed_demand(), 2); + EXPECT_EQ(gl.ledger->residual(), (Amounts {0, 10, 10})); +} + +// V5: a rejected call of each kind (and an evaluator) changes nothing. +TEST(Operations, RejectedCallsChangeNothing) { + const auto g = par2(10, 10); + const auto other = par2(1, 1); + const auto foreign = other->eligibility({}, std::vector {0}); + auto p = make(g, {0}, {1}, cost_only(EB, LOSSY)); + (void)p->place(4); + const auto ledger = ledger_state(*p.ledger); + const auto before = epoch(*p.p); + const std::vector>> calls = { + {"place", [&] { (void)p->place(-1); }}, + {"place 2^62", [&] { (void)p->place(kL62); }}, + {"evaluate", [&] { (void)p->evaluate(INF); }}, + {"replace", [&] { (void)p->replace(-1); }}, + {"forward", [&] { (void)p->forward(1, &foreign); }}, + {"capacity", [&] { (void)capacity(*g, v({0}), v({1}), query(cost_only(EB, LOSSY), offer(5))); }}, + }; + for (const auto& [name, call] : calls) { + EXPECT_NE(error_of(call), "") << name; + expect_same(ledger_state(*p.ledger), ledger, name); + expect_unchanged(epoch(*p.p), before, name); + } + // A rejected Pinned call. + auto pin = pinned(g, tunnels(*g, {0}, {1}, {{0, {0}, 1}}), LOSSY); + (void)pin->place(3); + const auto pl = ledger_state(*pin.ledger); + const auto pe = epoch(*pin.p); + for (const auto& call : std::vector> {[&] { (void)pin->place(INF); }, + [&] { (void)pin->forward(1); }, + [&] { (void)pin->replace(-1); }}) { + EXPECT_NE(error_of(call), ""); + expect_same(ledger_state(*pin.ledger), pl, "pinned"); + expect_unchanged(epoch(*pin.p), pe, "pinned"); + } +} + +// ---------------------------------------------------------------- D: records + +// D1: CostOnly and Global records have no entry; a Pinned record carries its entry identifier. +TEST(ProgramRecords, Fields) { + const auto g = graph(4, kB1); + for (const auto& cfg : {global(), cost_only()}) { + auto p = make(g, {0, 1}, {3}, cfg); + (void)p->place(4); + for (const auto& e : entries(*p.p)) EXPECT_FALSE(e.has_value()); + } + const auto mixed = par2(4, 8); + auto pin = pinned(mixed, program(*mixed, {0}, {1}, + {tunnel_route(*mixed, 0, {1}), dag_route(*mixed, 0, {0, 1}), tunnel_route(*mixed, 0, {0})})); + (void)pin->place(3); + EXPECT_EQ(entries(*pin.p), (std::vector> {0, 1, 2})); + for (const auto& r : pin->records()) { + EXPECT_EQ(r.sources, v({0})); + EXPECT_EQ(r.destinations, v({1})); + } +} + +// D2, D3: one record per entry, duplicates included; a weight-0 entry's record at zero. +TEST(ProgramRecords, PerEntry) { + const auto g = par2(4, 8); + auto p = pinned(g, tunnels(*g, {0}, {1}, {{0, {0}, 1}, {0, {1}, 1}, {0, {1}, 1}})); + const auto r = p->place(12); + const auto recs = p->records(); + ASSERT_EQ(recs.size(), 3U); + EXPECT_EQ(entries(*p.p), (std::vector> {0, 1, 2})); + EXPECT_EQ(delivered(*p.p), (Amounts {4, 4, 4})); + EXPECT_EQ(ascending_edges(*recs[1].bundle), ascending_edges(*recs[2].bundle)); + EXPECT_NE(recs[1].flow_id, recs[2].flow_id); + EXPECT_EQ(rows(r), (Rows {{0, 0, UP, 4, 4, 0}, {1, 0, UP, 4, 4, 0}, {2, 0, UP, 4, 4, 0}})); + auto z = pinned(g, tunnels(*g, {0}, {1}, {{0, {0}, 0}, {0, {1}, 1}})); + (void)z->place(INF); + const auto zr = z->records(); + ASSERT_EQ(zr.size(), 2U); + EXPECT_EQ(zr[0].delivered, 0); + EXPECT_TRUE(zr[0].edges.empty()); + EXPECT_EQ(ascending_edges(*zr[0].bundle), (std::vector {0})); +} + +// D4: a FAILED tunnel's record: an empty bundle, route_cost UNREACHABLE. +TEST(ProgramRecords, FailedEntry) { + const auto g = graph(4, kG1U); + const auto prog = g1u_program(g); + auto p = pinned(g, prog, LOSSY, no_edges(*g, {2})); + (void)p->replace(12); + const auto recs = p->records(); + ASSERT_EQ(recs.size(), 2U); + EXPECT_TRUE(ascending_edges(*recs[0].bundle).empty()); + EXPECT_EQ(recs[0].route_cost, kUnreachable); + EXPECT_EQ(ascending_edges(*recs[1].bundle), (std::vector {1, 3})); + EXPECT_EQ(recs[1].route_cost, 2); +} + +// D5: a CostOnly program in Pinned keeps the attribution of 5.1. +TEST(ProgramRecords, PooledContext) { + const auto g = graph(4, kPool2); + auto producer = make(g, {0, 1}, {3}, cost_only(EB, LOSSY)); + const auto prog = producer->place(2).program; + auto p = pinned(g, prog, LOSSY); + (void)p->replace(2); + std::vector, Drops>> got; + for (const auto& r : p->records()) got.emplace_back(r.entry, r.edges); + EXPECT_EQ(got, (std::vector, Drops>> {{0, {{0, 1}, {2, 1}}}, + {1, {{1, 1}, {3, 1}}}})); +} + +// ---------------------------------------------------------------- Z: results + +// Z1, Z2, Z3: the by_tunnel rows. +TEST(ProgramResults, ByTunnel) { + const auto pl = graph(4, kPinloss); + const auto y8 = pinned(pl, tunnels(*pl, {0}, {3}, {{0, {0, 2}, 1}, {0, {1, 3}, 1}}), LOSSY)->replace(12); + EXPECT_EQ(rows(y8), (Rows {{0, 0, UP, 6, 2, 4}, {1, 0, UP, 6, 6, 0}})); + const auto b1 = graph(4, kB1); + EXPECT_EQ(rows(make(b1, {0, 1}, {3}, global())->place(12)), (Rows {{0, 0, UP, 2, 2, 0}, {1, 1, UP, 10, 10, 0}})); + EXPECT_TRUE(make(graph(4, kPool2), {0, 1}, {3}, cost_only())->place(2).by_tunnel.empty()); + // A zero call reports the state's rows. + auto p = pinned(pl, tunnels(*pl, {0}, {3}, {{0, {0, 2}, 1}, {0, {1, 3}, 1}}), LOSSY); + (void)p->replace(12); + EXPECT_EQ(rows(p->place(0)), (Rows {{0, 0, UP, 6, 2, 4}, {1, 0, UP, 6, 6, 0}})); +} + +// Z4: RC02-zero-unprepared extended: no program, no rows. +TEST(ProgramResults, ZeroUnprepared) { + for (const auto& cfg : {global(), cost_only()}) { + auto p = make(par2(4, 6), {0}, {1}, cfg); + const auto z = p->place(0); + EXPECT_EQ(z.program, nullptr); + EXPECT_TRUE(z.by_tunnel.empty()); + EXPECT_EQ(z.termination, Termination::Complete); + (void)p->place(3); + p->remove(); + const auto after = p->place(0); + EXPECT_EQ(after.program, nullptr); + EXPECT_TRUE(after.by_tunnel.empty()); + } +} + +// Z5: TunnelFlow.assigned and dropped above 2^64 with a carry: 5 (2^62 - 1) = +// 23058430092136939515, high half 1, low half 4611686018427387899. +TEST(WideCounters, TunnelRowsBeyond64Bits) { + const auto g = graph(2, {{0, 1, 0, 1}}); + auto p = pinned(g, tunnels(*g, {0}, {1}, {{0, {0}, 1}}), LOSSY); + const Amount big = kL62 - 1; + PlacementResult r; + for (int i = 0; i < 5; ++i) r = p->place(big); + const Counter128 total {1, 4611686018427387899ULL}; + ASSERT_EQ(r.by_tunnel.size(), 1U); + EXPECT_EQ(r.by_tunnel[0].assigned, total); + EXPECT_EQ(r.by_tunnel[0].dropped, total); + EXPECT_EQ(r.by_tunnel[0].delivered, 0); + EXPECT_EQ(r.offered, total); + EXPECT_EQ(r.requested, total); + EXPECT_EQ(r.admitted, total); + EXPECT_EQ(r.drops, (std::vector> {{0, total}})); + EXPECT_TRUE(r.source_loss.is_zero()); + ASSERT_EQ(r.by_source.size(), 1U); + EXPECT_EQ(r.by_source[0].offered, total); + EXPECT_EQ(r.by_source[0].admitted, total); + EXPECT_EQ(r.by_source[0].dropped, total); + EXPECT_TRUE(r.by_source[0].source_loss.is_zero()); + const auto rec = p->records().front(); + EXPECT_EQ(rec.offered, total); + EXPECT_EQ(rec.drops, (std::vector> {{0, total}})); + // The carry: four calls stay below 2^64. + auto q = pinned(g, tunnels(*g, {0}, {1}, {{0, {0}, 1}}), LOSSY); + PlacementResult four; + for (int i = 0; i < 4; ++i) four = q->place(big); + EXPECT_EQ(four.by_tunnel[0].assigned, (Counter128 {0, 4 * static_cast(big)})); +} + +// ---------------------------------------------------------------- E: evaluators + +// E2: capacity of L3's Pinned Lossless. +TEST(QueryOptionsEval, PinnedLossless) { + const auto g = par2(6, 4); + const auto prog = tunnels(*g, {0}, {1}, {{0, {0}, 1}, {0, {1}, 1}}); + const auto r = capacity(*g, v({0}), v({1}), query(pinned_config(prog))); + EXPECT_EQ(r.placed, 9); + EXPECT_EQ(r.termination, Termination::Exhausted); +} + +// E3: capacity of PINLOSS's Pinned Lossy with offered 12: 2 + 6. +TEST(QueryOptionsEval, PinnedLossy) { + const auto pl = graph(4, kPinloss); + const auto prog = tunnels(*pl, {0}, {3}, {{0, {0, 2}, 1}, {0, {1, 3}, 1}}); + EXPECT_EQ(capacity(*pl, v({0}), v({3}), query(pinned_config(prog, LOSSY), offer(12))).placed, 8); +} + +// E4, E5: the offered rules and batch_capacity's Pinned text. +TEST(QueryOptionsEval, Texts) { + const auto g = par2(6, 4); + const auto prog = tunnels(*g, {0}, {1}, {{0, {0}, 1}, {0, {1}, 1}}); + auto err = [&](const QueryOptions& q) { return error_of([&] { (void)capacity(*g, v({0}), v({1}), q); }); }; + EXPECT_EQ(err(query(pinned_config(prog, LOSSY))), "Pinned LOSSY capacity requires finite offered"); + EXPECT_EQ(err(query(pinned_config(prog, LOSSY), offer_inf())), "Pinned LOSSY capacity requires finite offered"); + EXPECT_EQ(err(query(cost_only(EB, LOSSY), offer(5))), "CostOnly LOSSY capacity uses first-hop injection"); + EXPECT_EQ(err(query(cost_only(), offer(5))), "CostOnly LOSSLESS capacity does not accept offered"); + EXPECT_EQ(err(query(global(), offer(5))), "Global LOSSLESS capacity does not accept offered"); + EXPECT_EQ(err(query(pinned_config(prog), offer(5))), "Pinned LOSSLESS capacity does not accept offered"); + EXPECT_EQ(err(query(capacity_aware(), offer(5))), "T1 LOSSLESS capacity does not accept offered"); + EXPECT_EQ(err(query(cost_only(), offer_inf())), "CostOnly LOSSLESS capacity does not accept offered"); + for (const Amount bad : {Amount {-1}, kL62}) { + EXPECT_EQ(err(query(pinned_config(prog, LOSSY), offer(bad))), + "offered must be an integer in [0, 2^62) or permitted +inf"); + } + EXPECT_EQ(err(query(pinned_config(prog, LOSSY), offer(kL62 - 1))), ""); + const std::vector, std::vector>> pairs = {{{0}, {1}}}; + EXPECT_EQ(error_of([&] { (void)batch_capacity(*g, pairs, query(pinned_config(prog)), {}, 1); }), + "batch_capacity does not accept Pinned"); +} + +// E6, E7, E8: a deletion fails the tunnels through it and the head splits over the others. +TEST(QueryOptionsEval, PinnedSensitivity) { + const auto pl = graph(4, kPinloss); + const auto prog = tunnels(*pl, {0}, {3}, {{0, {0, 2}, 1}, {0, {1, 3}, 1}}); + const auto s = sensitivity(*pl, v({0}), v({3}), query(pinned_config(prog)), 1); + EXPECT_EQ(s.baseline.placed, 4); + EXPECT_EQ(losses(s), (std::vector> {{0, -6}, {1, 2}, {2, -6}, {3, 2}})); + const auto l = sensitivity(*pl, v({0}), v({3}), query(pinned_config(prog, LOSSY), offer(12)), 1); + EXPECT_EQ(l.baseline.placed, 8); + EXPECT_EQ(losses(l), (std::vector> {{0, -2}, {1, 6}, {2, -2}, {3, 6}})); + const auto w2 = sensitivity(*pl, v({0}), v({3}), query(pinned_config(prog, LOSSY), offer(12)), 2); + EXPECT_EQ(losses(w2), losses(l)); + EXPECT_EQ(w2.baseline.placed, 8); +} + +// ---------------------------------------------------------------- M: today's Pinned mapped + +// M1 to M10: each former Pinned use and its program form. +TEST(PinnedMapping, SingleBundle) { + // M1: one EB bundle (DIAM, the four links). + const auto d = graph(4, kDiam); + const auto all = dag_of(*d, {0, 1, 2, 3}); + const auto eb = program(*d, {0}, {3}, {Route {0, all, 1}}); + EXPECT_EQ(pinned(d, eb)->place(INF).placed, 200); + EXPECT_EQ(pinned(d, eb, LOSSY)->place(100).placed, 100); + // M2: W with capacity weights; with residual weights (the ledger's residual at creation): + // H over (100, 50) at node 0: H(150) = (100, 50) fits, H(151) = (101, 50) does not. + const auto wc = program(*d, {0}, {3}, {Route {0, all, 1}}, RouteOptions {.placement = W}); + EXPECT_EQ(pinned(d, wc)->place(INF).placed, 200); + const auto ws = program(*d, {0}, {3}, {Route {0, all, 1}}, + RouteOptions {.placement = W, .weights = WeightBasis::ResidualSnapshot, + .residual = Amounts {100, 50, 100, 50}}); + EXPECT_EQ(pinned(d, ws)->place(INF).placed, 150); + // M3, M4: two bundles on PAR2(6, 4): separate contexts, RR over the entries: 9; W the same 9; + // MaxFlow becomes Global(support) and fills both: 10. + const auto p = par2(6, 4); + const auto two = program(*p, {0}, {1}, {dag_route(*p, 0, {0}), dag_route(*p, 0, {1})}); + EXPECT_EQ(pinned(p, two)->place(INF).placed, 9); + const auto two_w = + program(*p, {0}, {1}, {dag_route(*p, 0, {0}), dag_route(*p, 0, {1})}, RouteOptions {.placement = W}); + EXPECT_EQ(pinned(p, two_w)->place(INF).placed, 9); + EXPECT_EQ(make(p, {0}, {1}, global(std::nullopt, dag_of(*p, {0, 1})))->place(INF).placed, 10); + // M5: two bundles sharing e0 on SHARE, EB Lossy place(10): both arrive at e0 with 5: + // H(4, (5, 5)) = (2, 2). + const auto sh = graph(3, kShare); + auto shared_e0 = pinned(sh, program(*sh, {0}, {2}, {dag_route(*sh, 0, {0, 1}), dag_route(*sh, 0, {0, 2})}), LOSSY); + const auto r5 = shared_e0->place(10); + EXPECT_EQ(r5.placed, 4); + EXPECT_EQ(delivered(*shared_e0.p), (Amounts {2, 2})); + // M6: MaxFlow over one bundle is Global(support): 12, cost 34, one record per source with the + // used edges, no entry. + const auto es = graph(4, kES); + auto m6 = make(es, {0}, {3}, global(std::nullopt, dag_of(*es, {0, 1, 2, 3}))); + const auto r6 = m6->place(INF); + EXPECT_EQ(r6.placed, 12); + EXPECT_EQ(r6.total_cost, c(34)); + const auto recs = m6->records(); + ASSERT_EQ(recs.size(), 1U); + EXPECT_FALSE(recs[0].entry.has_value()); + EXPECT_EQ(ascending_edges(*recs[0].bundle), (std::vector {0, 1, 2, 3})); + // M7: Lossy +inf is rejected. + auto m7 = pinned(d, eb, LOSSY); + EXPECT_EQ(error_of([&] { (void)m7->place(INF); }), kFinite); + // M8: two sources are accepted (C8); M9: duplicates are distinct entries (L1). + const auto rel = graph(4, kRel); + EXPECT_EQ(pinned(rel, tunnels(*rel, {0, 1}, {3}, {{0, {0, 2}, 1}, {1, {1, 2}, 1}}))->place(INF).placed, 10); + const auto par = par2(4, 8); + EXPECT_EQ(bound(par, {{0, {0}, 1}, {0, {1}, 1}, {0, {1}, 1}}), 12); + // M10: an empty route list. + EXPECT_EQ(error_of([&] { (void)program(*par, {0}, {1}, {}); }), "routes must not be empty"); +} + +// ---------------------------------------------------------------- storage of the new layouts + +// A plan's replay under a mask (restrict_plan) is a new plan whose views point into its own block: +// it keeps its values after the source plan is destroyed and plans of the same shape reuse the +// freed memory (a borrowing restriction would read the later plans' roots and destinations). +TEST(ProgramLayouts, RestrictedPlanOwnsItsBlock) { + const auto g = graph(8, {{0, 1, 5, 1}, {0, 2, 5, 1}, {1, 3, 5, 1}, {2, 3, 5, 1}, + {4, 5, 5, 1}, {4, 6, 5, 1}, {5, 7, 5, 1}, {6, 7, 5, 1}}); + const auto mask = g->eligibility({}, std::vector {3, 7}); + auto plan_of = [&](NodeId root, NodeId dst, std::vector edges) { + const auto dag = detail::PredDAGBuilder::of_edges(*g, edges); + return detail::make_plan(*g, EB, LOSSLESS, detail::WeightSource {}, root, std::vector {dst}, dag); + }; + std::optional source(plan_of(0, 3, {0, 1, 2, 3})); + const auto restricted = detail::restrict_plan(*g, *source, v({0}), v({3}), &mask); + EXPECT_NE(restricted.roots.data(), source->roots.data()); + EXPECT_NE(restricted.dsts.data(), source->dsts.data()); + EXPECT_NE(restricted.topo.data(), source->topo.data()); + EXPECT_NE(restricted.head_pos.data(), source->head_pos.data()); + const auto roots = vec(restricted.roots); + const auto dsts = vec(restricted.dsts); + const auto topo = vec(restricted.topo); + const auto members = restricted.members; + EXPECT_EQ(members, (std::vector {0, 2})); + EXPECT_EQ(roots, v({0})); + EXPECT_EQ(dsts, v({3})); + source.reset(); + std::vector later; + for (int i = 0; i < 4; ++i) { + later.push_back(plan_of(4, 7, {4, 5, 6, 7})); + later.push_back(detail::restrict_plan(*g, later.back(), v({4}), v({7}), &mask)); + } + EXPECT_EQ(vec(restricted.roots), roots); + EXPECT_EQ(vec(restricted.dsts), dsts); + EXPECT_EQ(vec(restricted.topo), topo); + EXPECT_EQ(restricted.members, members); + // Its copy owns another block too. + const detail::KernelPlan copy(restricted); + EXPECT_NE(copy.topo.data(), restricted.topo.data()); + EXPECT_EQ(vec(copy.topo), topo); +} + +// A program and its data are one allocation (detail::ProgramBlock): the program's data pointer +// reads into the block that every shared reference keeps alive, not into the data it was moved +// from, and stays valid after the producer's locals are gone and programs of the same shape reuse +// the freed memory. +// Every list of a program's data lies in the data's own block, none outside it. +void expect_lists_in_block(const detail::ProgramData& data) { + const auto block = data.block(); + auto inside = [&](std::span list, const char* name) { + if (list.empty()) return; + EXPECT_TRUE(list.data() >= block.data() && list.data() + list.size() <= block.data() + block.size()) << name; + }; + inside(data.sources, "sources"); + inside(data.destinations, "destinations"); + inside(data.roster, "roster"); + inside(data.slot_first, "slot_first"); + inside(data.slot_entries, "slot_entries"); + inside(data.tunnel_entry, "tunnel_entry"); + inside(data.excluded_nodes, "excluded_nodes"); + inside(data.excluded_edges, "excluded_edges"); + for (const auto& c : data.contexts) inside(c.root_entry, "root_entry"); +} + +TEST(ProgramLayouts, ProgramOwnsItsDataBlock) { + const auto g = graph(4, {{0, 1, 10, 1}, {0, 2, 10, 1}, {1, 3, 10, 1}, {2, 3, 10, 1}}); + std::shared_ptr prog; + { + auto made = tunnels(*g, {0}, {3}, {{0, {0, 2}, 2}, {0, {1, 3}, 1}}); + prog = made; + } + const auto& data = detail::ProgramAccess::data(*prog); + const auto* block_lo = reinterpret_cast(prog.get()); + const auto* data_at = reinterpret_cast(&data); + // The data lies in the same allocation as the program (one block of the two objects). + EXPECT_LT(std::abs(data_at - block_lo), static_cast(sizeof(detail::ProgramBlock))); + std::vector> later; + for (int i = 0; i < 8; ++i) later.push_back(tunnels(*g, {0}, {3}, {{0, {1, 3}, 5}})); + ASSERT_EQ(prog->tunnels().size(), 2U); + EXPECT_EQ(prog->tunnels()[0].edges, v({0, 2})); + EXPECT_EQ(prog->tunnels()[1].weight, 1); + EXPECT_EQ(vec(prog->sources()), v({0})); + EXPECT_EQ(vec(data.roster), v({0})); + EXPECT_EQ(data.entries.size(), 2U); + EXPECT_EQ(vec(data.entries_of(0)), v({0, 1})); + expect_lists_in_block(data); + // A copy of the shared reference reads the same block. + const auto copy = prog; + prog.reset(); + EXPECT_EQ(&detail::ProgramAccess::data(*copy), &data); + EXPECT_EQ(copy->tunnels()[1].edges, v({1, 3})); +} + +// A controller's program owns its lists: it outlives the policy whose roster and exclusions it +// copied, and reads the same values from its own block. +TEST(ProgramLayouts, ControllerProgramOwnsItsLists) { + const auto g = graph(5, {{0, 1, 10, 1}, {0, 2, 10, 1}, {1, 3, 10, 1}, {2, 3, 10, 1}, {4, 3, 10, 1}}); + FlowLedger fg(g); + const auto el = std::make_shared(g->eligibility(std::vector {4}, std::vector {1})); + std::shared_ptr prog; + { + auto p = std::make_unique(fg, v({0, 4}), v({3}), global(std::nullopt), el.get()); + prog = p->place(5).program; + p.reset(); + } + // Churn the allocator so a list read from freed policy storage would differ. + std::vector> churn; + for (int i = 0; i < 64; ++i) churn.emplace_back(8, -7); + ASSERT_NE(prog, nullptr); + const auto& data = detail::ProgramAccess::data(*prog); + EXPECT_EQ(vec(prog->sources()), v({0, 4})); + EXPECT_EQ(vec(prog->destinations()), v({3})); + EXPECT_EQ(vec(data.roster), v({0})); + EXPECT_EQ(vec(data.excluded_nodes), v({4})); + EXPECT_EQ(vec(data.excluded_edges), v({1, 4})); + EXPECT_EQ(vec(data.tunnel_entry), v({0})); + EXPECT_EQ(vec(data.slot_first), v({0, 1})); + EXPECT_EQ(vec(data.slot_entries), v({0})); + expect_lists_in_block(data); +} + +// A forwarding view keeps its program alive (its data pointer reads into it), owns its vectors, +// and a view with other black holes shares the program and its structure: both stay valid after +// the source view and every other reference to the program are gone and programs of the same +// shape reuse the memory. +TEST(ProgramLayouts, ViewOwnsItsStorage) { + const auto g = graph(6, {{0, 1, 10, 1}, {0, 2, 10, 1}, {1, 2, 10, 1}, {3, 4, 10, 1}, {3, 5, 10, 1}, {4, 5, 10, 1}}); + auto build = [&](NodeId s, std::vector a, std::vector b, NodeId dst) { + return program(*g, {s}, {dst}, {tunnel_route(*g, s, a), dag_route(*g, s, b)}); + }; + const auto dark = g->eligibility({}, std::vector {2}); + std::optional source; + { + auto prog = build(0, {1}, {0, 2}, 2); + source.emplace(detail::make_view(*g, prog, nullptr, v({2}), nullptr, true)); + } + ASSERT_EQ(source->num_heads(), 1U); + ASSERT_FALSE(source->borrowed); // a tunnel's record bundle is made: the view holds its state + const detail::ForwardingView copy(*source); + const auto stale = detail::with_black_holes(*source, &dark); + EXPECT_NE(copy.status_.data(), source->status_.data()); + EXPECT_NE(copy.head_entries_.data(), source->head_entries_.data()); + EXPECT_EQ(copy.program, source->program); + EXPECT_EQ(stale.program, source->program); + EXPECT_EQ(stale.dark, &dark); + const auto status = copy.status_; + const auto entries_of_head = copy.head_entries_; + const auto plans = copy.plans_.size(); + source.reset(); + std::vector> later; + for (int i = 0; i < 4; ++i) later.push_back(build(3, {4}, {3, 5}, 5)); + for (const auto* view : {©, &stale}) { + ASSERT_NE(view->program, nullptr); + EXPECT_EQ(view->data, &detail::ProgramAccess::data(*view->program)); + EXPECT_EQ(view->head(0), 0); + EXPECT_EQ(vec(view->data->roster), v({0})); + EXPECT_EQ(vec(view->data->destinations), v({2})); + expect_lists_in_block(*view->data); + EXPECT_EQ(view->status_, status); + EXPECT_EQ(view->head_entries_, entries_of_head); + ASSERT_EQ(view->plans_.size(), plans); + for (const auto& plan : view->plans_) EXPECT_EQ(vec(plan->dsts), v({2})); + } +} + +// A borrowed view (no mask, no black holes, no record bundle to make) holds no state of its own: +// it reads the program, which its shared reference keeps alive after every other reference is +// gone and programs of the same shape reuse the freed memory; a copy reads the same program, and +// the same view with black holes writes the program's state out before changing it. +TEST(ProgramLayouts, BorrowedViewReadsItsProgram) { + const auto g = graph(4, {{0, 1, 10, 1}, {0, 2, 10, 1}, {1, 3, 10, 1}, {2, 3, 10, 1}}); + auto build = [&](NodeId s) { return program(*g, {s}, {3}, {dag_route(*g, s, {0, 1, 2, 3})}); }; + const auto dark = g->eligibility({}, std::vector {2}); + std::optional source; + { + auto prog = build(0); + source.emplace(detail::make_view(*g, prog, nullptr, v({3}), nullptr, true)); + } + ASSERT_TRUE(source->borrowed); + EXPECT_TRUE(source->status_.empty() && source->plans_.empty() && source->head_entries_.empty()); + const detail::ForwardingView copy(*source); + const auto stale = detail::with_black_holes(*source, &dark); + EXPECT_TRUE(copy.borrowed); + EXPECT_FALSE(stale.borrowed); + const auto* plan = source->plan(0).get(); + source.reset(); + std::vector> later; + for (int i = 0; i < 4; ++i) later.push_back(build(0)); + for (const auto* view : {©, &stale}) { + ASSERT_NE(view->program, nullptr); + EXPECT_EQ(view->data, &detail::ProgramAccess::data(*view->program)); + ASSERT_EQ(view->num_heads(), 1U); + EXPECT_EQ(view->head(0), 0); + EXPECT_EQ(view->status(0), TunnelStatus::Up); + EXPECT_EQ(vec(view->head_entries(0)), v({0})); + EXPECT_EQ(view->root_of(0), 0); + EXPECT_EQ(view->plan(0).get(), plan); + EXPECT_EQ(view->plan(0)->members, v({0, 1, 2, 3})); + EXPECT_EQ(view->cost(0), 2); + expect_lists_in_block(*view->data); + } + EXPECT_FALSE(copy.dark_head(0)); +} + +// An epoch is a value: its copy keeps the cohorts, the program, the rows and the counters after +// the policy that held the original has moved on and been destroyed. +TEST(ProgramLayouts, EpochCopyOwnsItsStorage) { + const auto g = graph(4, kPinloss); + const auto prog = tunnels(*g, {0}, {3}, {{0, {0, 2}, 1}, {0, {1, 3}, 1}}); + std::optional p(pinned(g, prog, LOSSY)); + (void)(*p)->replace(12); + const detail::Epoch copy = detail::PolicyAccess::engine(*p->p).epoch; + const auto& live = detail::PolicyAccess::engine(*p->p).epoch; + ASSERT_EQ(copy.cohorts.size(), 2U); + EXPECT_NE(copy.cohorts.data(), live.cohorts.data()); + EXPECT_NE(copy.by_tunnel.data(), live.by_tunnel.data()); + const auto rows_before = copy.by_tunnel; + const auto ids_before = std::vector {copy.cohorts[0][0].id, copy.cohorts[1][0].id}; + (void)(*p)->replace(4); + p.reset(); + for (int i = 0; i < 4; ++i) (void)pinned(g, prog, LOSSY)->replace(2); + EXPECT_EQ(copy.program, prog); + EXPECT_TRUE(copy.by_tunnel == rows_before); + EXPECT_EQ(rows_before.size(), 2U); + EXPECT_EQ(lo(rows_before[0].assigned), 6); + EXPECT_EQ(rows_before[0].delivered, 2); + EXPECT_EQ((std::vector {copy.cohorts[0][0].id, copy.cohorts[1][0].id}), ids_before); + EXPECT_EQ(lo(copy.offered), 12); + EXPECT_EQ(lo(copy.requested), 12); +} + +// ---------------------------------------------------------------- property: random tunnel programs + +// Random tunnel programs on random DAGs (two heads, one destination, paths drawn from every path +// of each head, weights 0 to 3 with a positive one per head) against program_reference: the +// lossless bound (x fits, x + 1 does not), each tunnel's highest-averages amount and the loads at +// the bound, conservation at every node, a Lossy replace at the bound delivering every share, and +// evaluate above the bound returning the bound. +TEST(ProgramProperty, TunnelProgramsMatchTheReference) { + namespace ref = program_reference; + std::mt19937 rng(20261018); + int checked = 0; + int two_heads = 0; // trials whose roster has both heads + int positive = 0; // trials with a positive bound + int shared_links = 0; // trials where some edge carries two tunnels' amounts + for (int trial = 0; trial < 60; ++trial) { + const std::int32_t n = 6; + std::vector rows; + for (NodeId u = 0; u < n; ++u) { + for (NodeId w = u + 1; w < n; ++w) { + if (u == 0 && w == 1) continue; // the heads do not feed each other + const int copies = static_cast(rng() % 3); + for (int k = 0; k < copies; ++k) rows.push_back({u, w, static_cast(rng() % 7), 1}); + } + } + const auto g = shared(make_graph(n, rows)); + const NodeId dst = n - 1; + // Every path from a head to dst (ids of g; destinations are terminal). + std::vector> found[2]; + for (NodeId h = 0; h < 2; ++h) { + std::vector stack; + std::function walk = [&](NodeId u) { + if (u == dst) { + found[h].push_back(stack); + return; + } + for (EdgeId e = 0; e < g->num_edges(); ++e) { + if (g->edge_src()[static_cast(e)] != u) continue; + stack.push_back(e); + walk(g->edge_dst()[static_cast(e)]); + stack.pop_back(); + } + }; + walk(h); + } + std::vector t; + for (NodeId h = 0; h < 2; ++h) { + if (found[h].empty()) continue; + const int k = 1 + static_cast(rng() % 3); + for (int i = 0; i < k; ++i) { + t.push_back({h, found[h][rng() % found[h].size()], static_cast(rng() % 4)}); + } + t.back().weight = std::max(t.back().weight, 1); + } + if (t.empty()) continue; + std::vector specs; + for (const auto& x : t) specs.emplace_back(x.head, x.edges, x.weight); + const auto prog = tunnels(*g, {0, 1}, {dst}, specs); + const Amount x = ref::lossless_bound(*g, t); + const std::string where = "trial " + std::to_string(trial) + " bound " + std::to_string(x); + ASSERT_FALSE(ref::fits(*g, t, x + 1)) << where; + auto p = pinned(g, prog); + const auto r = p->place(INF, kEdges); + ASSERT_EQ(r.placed, x) << where; + const auto amounts = *ref::tunnel_amounts(x, t); + two_heads += ref::roster(t).size() == 2 ? 1 : 0; + positive += x > 0 ? 1 : 0; + { + std::vector users(static_cast(g->num_edges()), 0); + for (std::size_t i = 0; i < t.size(); ++i) { + if (amounts[i] > 0) { + for (EdgeId e : t[i].edges) ++users[static_cast(e)]; + } + } + shared_links += std::any_of(users.begin(), users.end(), [](int u) { return u > 1; }) ? 1 : 0; + } + EXPECT_EQ(*r.edge_flows, ref::loads(*g, t, amounts)) << where; + EXPECT_EQ(delivered(*p.p), amounts) << where; + ASSERT_EQ(r.by_tunnel.size(), t.size()) << where; + for (std::size_t i = 0; i < t.size(); ++i) EXPECT_EQ(r.by_tunnel[i].delivered, amounts[i]) << where << " tunnel " << i; + // Conservation: a transit node passes on what it receives; the heads send their shares. + std::vector in(static_cast(n), 0), out(static_cast(n), 0); + for (EdgeId e = 0; e < g->num_edges(); ++e) { + out[static_cast(g->edge_src()[e])] += (*r.edge_flows)[e]; + in[static_cast(g->edge_dst()[e])] += (*r.edge_flows)[e]; + } + for (NodeId u = 2; u < dst; ++u) EXPECT_EQ(in[u], out[u]) << where << " node " << u; + EXPECT_EQ(in[dst], x) << where; + EXPECT_EQ(out[0] + out[1] - in[1], x) << where; + // Lossy at the bound: every share delivered, nothing dropped. + const auto l = pinned(g, prog, LOSSY)->replace(x); + EXPECT_EQ(l.placed, x) << where; + EXPECT_TRUE(l.call_drops.empty()) << where; + EXPECT_TRUE(l.source_loss.is_zero()) << where; + // Lossless above the bound places the bound. + EXPECT_EQ(pinned(g, prog)->evaluate(x + 1).placed, x) << where; + ++checked; + } + RecordProperty("checked", checked); + RecordProperty("two_heads", two_heads); + RecordProperty("positive", positive); + RecordProperty("shared_links", shared_links); + EXPECT_GT(checked, 30); // not vacuous + EXPECT_GT(two_heads, 10); + EXPECT_GT(positive, 20); + EXPECT_GT(shared_links, 5); +} + +// The reference's own controls: a known bound and a lost share. +TEST(ProgramProperty, ReferenceControls) { + namespace ref = program_reference; + EXPECT_EQ(ref::round_robin(5, 2), (Amounts {3, 2})); + EXPECT_EQ(ref::highest_averages(15, {1, 2}), (Amounts {5, 10})); + EXPECT_EQ(ref::highest_averages(2, {1, 1}), (Amounts {1, 1})); + EXPECT_EQ(ref::highest_averages(4, {0, 3}), (Amounts {0, 4})); + const auto g = par2(6, 4); + EXPECT_EQ(ref::lossless_bound(*g, {{0, {0}, 1}, {0, {1}, 1}}), 9); + EXPECT_EQ(ref::lossless_bound(*g, {{0, {0}, 1}, {0, {1}, 2}}), 6); // H(6, (1, 2)) = (2, 4); H(7) = (2, 5) + EXPECT_FALSE(ref::tunnel_amounts(1, {{0, {0}, 0}}).has_value()); +} diff --git a/tests/cpp/route_policy.hpp b/tests/cpp/route_policy.hpp new file mode 100644 index 0000000..ea192d1 --- /dev/null +++ b/tests/cpp/route_policy.hpp @@ -0,0 +1,82 @@ +// A policy on one fixed route, in the program API: Global restricted to the route (on_support) or +// Pinned over a program of the route as one supplied split route (split_route: EqualBalanced, or +// Weighted with its WeightBasis; RESIDUAL_SNAPSHOT reads the ledger's residual when the program +// is made). The ledger tests (flow_ledger_tests.cpp, flow_ledger_fault_tests.cpp) drive the ledger +// through RoutePolicy and compare the real PlacementResult. +#pragma once + +#include +#include +#include + +#include "netgraph/core/detail/policy_engine.hpp" +#include "netgraph/core/flow_ledger.hpp" +#include "netgraph/core/flow_policy.hpp" +#include "netgraph/core/options.hpp" +#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/program.hpp" + +namespace netgraph::core::test { + +inline FlowPolicyConfig on_support(std::shared_ptr dag, Admission admission = Admission::Lossless) { + FlowPolicyConfig cfg; + cfg.routing = Global {std::move(dag)}; + cfg.admission = admission; + return cfg; +} + +inline FlowPolicyConfig split_route(const FlowLedger& fg, NodeId src, NodeId dst, std::shared_ptr dag, + FlowPlacement placement, Admission admission, + WeightBasis weights = WeightBasis::Capacity) { + const NodeId s[1] = {src}; + const NodeId d[1] = {dst}; + RouteOptions options; + options.placement = placement; + if (placement == FlowPlacement::Weighted && weights != WeightBasis::Capacity) { + options.weights = weights; + if (weights == WeightBasis::ResidualSnapshot) options.residual = fg.residual(); + } + const Route routes[1] = {Route {src, std::move(dag), 1}}; + FlowPolicyConfig cfg; + cfg.routing = Pinned {ForwardingProgram::from_routes(*fg.graph(), s, d, routes, options), nullptr}; + cfg.admission = admission; + return cfg; +} + +class RoutePolicy { +public: + RoutePolicy(FlowLedger& fg, NodeId src, NodeId dst, FlowPolicyConfig cfg, + std::shared_ptr elig = nullptr) + : elig_(std::move(elig)) { + const NodeId s[1] = {src}; + const NodeId d[1] = {dst}; + policy_ = std::make_unique(fg, s, d, std::move(cfg), elig_.get()); + } + + PlacementResult place(std::optional volume) { return policy_->place(volume); } + void remove() { policy_->remove(); } + // The FlowId of the policy's one record (its first), if it has one. + [[nodiscard]] std::optional flow_id() const { + const auto& pe = engine(); + if (pe.epoch.cohorts.empty() || pe.epoch.cohorts.front().empty()) return std::nullopt; + return FlowId {pe.fg.uid(), pe.epoch.cohorts.front().front().id}; + } + // The split route's plan as forwarded (Pinned), or null (Global's support has none). + [[nodiscard]] const detail::KernelPlan* plan() const { + const auto& pe = engine(); + if (!std::holds_alternative(pe.config.routing) || pe.view.data->contexts.empty()) return nullptr; + return pe.view.plan(0).get(); + } + [[nodiscard]] const Counter128& requested() const { return engine().epoch.requested; } + [[nodiscard]] bool infinite() const { return engine().epoch.infinite; } + [[nodiscard]] bool lossy() const { return engine().config.admission == Admission::Lossy; } + // The wrapped policy (for the shared comparators of state_comparators.hpp, such as epoch()). + [[nodiscard]] FlowPolicy& policy() { return *policy_; } + +private: + [[nodiscard]] const detail::PolicyEngine& engine() const { return detail::PolicyAccess::engine(*policy_); } + std::shared_ptr elig_; + std::unique_ptr policy_; +}; + +} // namespace netgraph::core::test diff --git a/tests/cpp/state_comparators.hpp b/tests/cpp/state_comparators.hpp index ebb6be2..401c2fb 100644 --- a/tests/cpp/state_comparators.hpp +++ b/tests/cpp/state_comparators.hpp @@ -8,12 +8,14 @@ #include #include +#include #include #include #include #include "netgraph/core/detail/ledger_access.hpp" #include "netgraph/core/detail/policy_engine.hpp" +#include "netgraph/core/detail/program_data.hpp" #include "netgraph/core/flow_ledger.hpp" #include "netgraph/core/flow_policy.hpp" #include "test_utils.hpp" @@ -51,7 +53,7 @@ inline LedgerState ledger_state(const FlowLedger& fg) { inline bool same_record(const FlowRecord& a, const FlowRecord& b) { return a.flow_id == b.flow_id && a.owner == b.owner && a.sources == b.sources && a.destinations == b.destinations && - a.admission == b.admission && a.bundle && b.bundle && *a.bundle == *b.bundle && + a.admission == b.admission && a.entry == b.entry && a.bundle && b.bundle && *a.bundle == *b.bundle && a.route_cost == b.route_cost && a.offered == b.offered && a.delivered == b.delivered && a.edges == b.edges && a.drops == b.drops; } @@ -85,6 +87,36 @@ inline void expect_balanced(const FlowLedger& fg, const std::string& where) { } } +// A program as the tests compare it: its endpoints, its tunnels, its source weights, and per split +// context its plan's roots, members and weights (a recomputed program is a new value). +struct ProgramSnapshot { + bool present {false}; + std::vector sources; + std::vector destinations; + std::vector tunnels; + std::optional>> source_weights; + std::vector> members; + std::vector> weights; + std::vector> roots; + bool operator==(const ProgramSnapshot&) const = default; +}; + +inline ProgramSnapshot program_snapshot(const ForwardingProgram* p) { + ProgramSnapshot s; + if (p == nullptr) return s; + s.present = true; + s.sources.assign(p->sources().begin(), p->sources().end()); + s.destinations.assign(p->destinations().begin(), p->destinations().end()); + s.tunnels.assign(p->tunnels().begin(), p->tunnels().end()); + s.source_weights = p->source_weights(); + for (const auto& c : detail::ProgramAccess::data(*p).contexts) { + s.members.push_back(c.plan->members); + s.weights.push_back(c.plan->weights); + s.roots.emplace_back(c.plan->roots.begin(), c.plan->roots.end()); + } + return s; +} + // Every field of a placement result. inline void expect_same(const PlacementResult& a, const PlacementResult& b, const std::string& where) { EXPECT_EQ(a.placed, b.placed) << where; @@ -95,6 +127,7 @@ inline void expect_same(const PlacementResult& a, const PlacementResult& b, cons EXPECT_EQ(a.termination, b.termination) << where; EXPECT_EQ(a.routes_changed, b.routes_changed) << where; EXPECT_EQ(a.weights_changed, b.weights_changed) << where; + EXPECT_TRUE(program_snapshot(a.program.get()) == program_snapshot(b.program.get())) << where; EXPECT_EQ(a.requested, b.requested) << where; EXPECT_EQ(a.offered, b.offered) << where; EXPECT_EQ(a.admitted, b.admitted) << where; @@ -103,6 +136,7 @@ inline void expect_same(const PlacementResult& a, const PlacementResult& b, cons EXPECT_EQ(a.source_loss, b.source_loss) << where; EXPECT_EQ(a.drops, b.drops) << where; EXPECT_TRUE(a.by_source == b.by_source) << where; + EXPECT_TRUE(a.by_tunnel == b.by_tunnel) << where; EXPECT_EQ(a.total_cost, b.total_cost) << where; EXPECT_EQ(a.cost_distribution, b.cost_distribution) << where; EXPECT_EQ(a.edge_flows, b.edge_flows) << where; @@ -124,30 +158,35 @@ struct FlowSnapshot { }; // A policy's epoch state: the call state (requested, offered, +inf, prepared, the placed -// demand), Global's cumulative curve, CostOnly's program (its members, or the MaxFlow support) -// and per roster source its flows. +// demand), Global's cumulative curve, the installed program (its identity and its value), CostOnly +// MaxFlow's support, a Pinned head's own losses, the by_tunnel rows and per cohort its flows. struct Epoch { Counter128 requested; Counter128 offered; bool infinite {false}; bool prepared {false}; Amount placed {0}; - std::vector> curve; - std::vector program; + std::optional>> curve; + const ForwardingProgram* program_id {nullptr}; + ProgramSnapshot program; + std::vector support; + std::vector head_lost; + std::vector by_tunnel; std::vector> cohorts; }; inline Epoch epoch(const FlowPolicy& p) { const auto& pe = detail::PolicyAccess::engine(p); - Epoch e {pe.requested, pe.offered, pe.infinite, pe.prepared, p.placed_demand(), pe.curve, - pe.program ? pe.program->members : pe.program_edges, {}}; - for (const auto& c : pe.cohorts) { + const auto& ep = pe.epoch; + Epoch e {ep.requested, ep.offered, ep.infinite, ep.prepared, p.placed_demand(), ep.curve, ep.program.get(), + program_snapshot(ep.program.get()), ep.support, ep.head_lost, ep.by_tunnel, {}}; + for (const auto& c : ep.cohorts) { auto& out = e.cohorts.emplace_back(); for (const auto& f : c) { if (f.plan) { out.push_back({f.id, f.cost, f.plan->route, f.plan->members, f.plan->weights}); } else { - const auto ids = ascending_edges(*f.bundle); + const auto ids = f.bundle ? ascending_edges(*f.bundle) : std::vector {}; out.push_back({f.id, f.cost, ids, ids, {}}); } } @@ -162,8 +201,17 @@ inline void expect_same(const Epoch& a, const Epoch& b, const std::string& where EXPECT_EQ(a.prepared, b.prepared) << where; EXPECT_EQ(a.placed, b.placed) << where; EXPECT_EQ(a.curve, b.curve) << where; - EXPECT_EQ(a.program, b.program) << where; + EXPECT_TRUE(a.program == b.program) << where; + EXPECT_EQ(a.support, b.support) << where; + EXPECT_EQ(a.head_lost, b.head_lost) << where; + EXPECT_TRUE(a.by_tunnel == b.by_tunnel) << where; EXPECT_TRUE(a.cohorts == b.cohorts) << where; } +// The same state on the same policy: also the same program object (a failed call installs none). +inline void expect_unchanged(const Epoch& a, const Epoch& b, const std::string& where) { + expect_same(a, b, where); + EXPECT_EQ(a.program_id, b.program_id) << where; +} + } // namespace netgraph::core::test diff --git a/tests/cpp/test_utils.hpp b/tests/cpp/test_utils.hpp index 33033d7..ef262ce 100644 --- a/tests/cpp/test_utils.hpp +++ b/tests/cpp/test_utils.hpp @@ -30,6 +30,7 @@ #include "netgraph/core/flow_record.hpp" #include "netgraph/core/graph.hpp" #include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/program.hpp" #include "test_int128.hpp" namespace netgraph::core::test { @@ -192,6 +193,32 @@ inline std::vector allowed_nodes(std::vector set, const Eligibil // The bundle of every edge of g. inline std::shared_ptr all_edges(const Graph& g) { return dag_of(g, all_ids(g)); } +// Pinned routing over a supplied program of split routes of one head, in order (weight 1 each; +// placement absent: EqualBalanced). +inline Pinned pinned_dags(const Graph& g, NodeId src, NodeId dst, const std::vector>& dags, + std::optional placement = std::nullopt, Admission admission = Admission::Lossless) { + (void)admission; + std::vector routes; + for (const auto& d : dags) routes.push_back(Route {src, d, 1}); + RouteOptions options; + options.placement = placement; + const NodeId s[1] = {src}; + const NodeId t[1] = {dst}; + return Pinned {ForwardingProgram::from_routes(g, s, t, routes, options), nullptr}; +} + +// Pinned routing over a supplied program of tunnels: (head, EdgeIds in path order, weight). +inline Pinned pinned_paths(const Graph& g, const std::vector& sources, const std::vector& destinations, + const std::vector, Amount>>& tunnels) { + std::vector routes; + for (const auto& [head, edges, weight] : tunnels) { + std::vector> hops; + for (EdgeId e : edges) hops.push_back({e}); + routes.push_back(Route {head, std::make_shared(g, hops), weight}); + } + return Pinned {ForwardingProgram::from_routes(g, sources, destinations, routes), nullptr}; +} + // Every operation counter of two solves (the counter struct has no ==). inline bool same_counters(const detail::FlowCoreCounters& x, const detail::FlowCoreCounters& y) { return x.dijkstra_runs == y.dijkstra_runs && x.dijkstra_pops == y.dijkstra_pops && x.settled == y.settled && @@ -760,4 +787,101 @@ inline bool expect_conserved(const Graph& g, const FlowRecord& r, const std::str return r.delivered > 0 || total_drops > 0; } +// An independent reference of a tunnel program's forwarding (contract 8.1 and 8.3): equal +// sources inject a total by round robin over the roster (the heads with a tunnel, ascending), each +// head splits its share by highest averages over its tunnels' weights (ascending index), and the +// lossless bound is the largest total whose loads fit the capacities with no share lost at a +// source. Its own round robin and unit-by-unit highest averages: it calls none of the library's +// apportionment helpers. +namespace program_reference { + +struct RefTunnel { + NodeId head {0}; + std::vector edges {}; + Amount weight {0}; +}; + +// x over k slots: x / k each, the first x mod k one more. +inline std::vector round_robin(Amount x, std::size_t k) { + std::vector out(k, 0); + for (Amount u = 0; u < x; ++u) ++out[static_cast(u) % k]; + return out; +} + +// x units one at a time, each to the slot with the largest w / (a + 1) (ties: the lower slot); +// slots of weight 0 get nothing (x must be 0 when every weight is 0). +inline std::vector highest_averages(Amount x, const std::vector& w) { + std::vector a(w.size(), 0); + for (Amount u = 0; u < x; ++u) { + std::size_t best = w.size(); + for (std::size_t i = 0; i < w.size(); ++i) { + if (w[i] <= 0) continue; + if (best == w.size() || Int128(w[i]) * (a[best] + 1) > Int128(w[best]) * (a[i] + 1)) best = i; + } + if (best == w.size()) return {}; + ++a[best]; + } + return a; +} + +// The roster: the heads with a tunnel, ascending. +inline std::vector roster(const std::vector& t) { + std::set heads; + for (const auto& x : t) heads.insert(x.head); + return {heads.begin(), heads.end()}; +} + +// Per tunnel its amount of the total x; nullopt when a positive head share has no tunnel of +// positive weight (lost at the source). +inline std::optional> tunnel_amounts(Amount x, const std::vector& t) { + const auto heads = roster(t); + const auto shares = round_robin(x, heads.size()); + std::vector out(t.size(), 0); + for (std::size_t h = 0; h < heads.size(); ++h) { + std::vector ids; + std::vector w; + for (std::size_t i = 0; i < t.size(); ++i) { + if (t[i].head == heads[h]) { + ids.push_back(i); + w.push_back(t[i].weight); + } + } + const auto split = highest_averages(shares[h], w); + if (split.empty() && shares[h] > 0) return std::nullopt; + for (std::size_t j = 0; j < split.size(); ++j) out[ids[j]] = split[j]; + } + return out; +} + +// The per-edge loads of per-tunnel amounts. +inline std::vector loads(const Graph& g, const std::vector& t, const std::vector& amounts) { + std::vector out(static_cast(g.num_edges()), 0); + for (std::size_t i = 0; i < t.size(); ++i) { + for (EdgeId e : t[i].edges) out[static_cast(e)] += amounts[i]; + } + return out; +} + +inline bool fits(const Graph& g, const std::vector& t, Amount x) { + const auto a = tunnel_amounts(x, t); + if (!a.has_value()) return false; + const auto l = loads(g, t, *a); + for (std::size_t e = 0; e < l.size(); ++e) { + if (l[e] > g.capacity_units()[e]) return false; + } + return true; +} + +// The largest total that fits, scanning up from 0 (the loads only grow with the total); a total +// above the sum of the capacities never fits. +inline Amount lossless_bound(const Graph& g, const std::vector& t) { + Amount limit = 1; + for (Amount c : g.capacity_units()) limit += c; + Amount x = 0; + while (x < limit && fits(g, t, x + 1)) ++x; + return x; +} + +} // namespace program_reference + } // namespace netgraph::core::test diff --git a/tests/cpp/zero_capacity_tests.cpp b/tests/cpp/zero_capacity_tests.cpp index f0a47d7..37bef18 100644 --- a/tests/cpp/zero_capacity_tests.cpp +++ b/tests/cpp/zero_capacity_tests.cpp @@ -79,7 +79,6 @@ using Drops = std::vector>; struct Placed { PlacementResult r; std::vector records; - std::int32_t usable {0}; }; Placed place_once(const std::shared_ptr& g, std::vector s, std::vector d, const FlowPolicyConfig& c, std::optional v, const Eligibility* elig = nullptr, @@ -89,7 +88,6 @@ Placed place_once(const std::shared_ptr& g, std::vector s, Placed x; x.r = p.place(v, out); x.records = p.records(); - x.usable = p.usable_bundles(); return x; } @@ -364,48 +362,51 @@ TEST(ZeroCapacity, CapacityAwareRosterAndStretchBaseline) { EXPECT_EQ(stretched(1.2 + 1e-9).r.placed, 1); // the ceiling just above 6 admits the cost-6 route } -// Z-38 to Z-42: Pinned bundles over a zero-capacity link (E-zero-first, E-zero-last). -TEST(ZeroCapacity, PinnedBundlesKeepTheirZeroLinks) { +// Z-38 to Z-42: Pinned split routes over a zero-capacity link (E-zero-first, E-zero-last): each +// route is its own split context, the head's share split over them by round robin. EqualBalanced +// keeps the zero link as a member, so the first unit (route 0) blocks a Lossless total: 0 when the +// zero route comes first, 1 when it comes last; Lossy offer 4 sends 2 down each route and loses +// the zero route's 2 on its link. A Weighted route over the zero link has no member (weight 0), so +// a share it receives has no route: Lossless 0 again. Global with the two links as its support (a +// controller) carries 4. +TEST(ZeroCapacity, PinnedRoutesKeepTheirZeroLinks) { const auto p0 = ordered(2, {{0, 1, 0, 1}, {0, 1, 4, 1}}); const auto p1 = ordered(2, {{0, 1, 4, 1}, {0, 1, 0, 1}}); - auto pinned = [](const std::shared_ptr& g, std::vector> routes) { - Pinned p; - for (auto& r : routes) p.bundles.push_back(dag_of(*g, r)); - return p; + const auto two = [&](const std::shared_ptr& g, std::optional k, + Admission a = Admission::Lossless) { + return FlowPolicyConfig {.routing = pinned_dags(*g, 0, 1, {dag_of(*g, {0}), dag_of(*g, {1})}, k), .admission = a}; }; - const auto two = [&](const std::shared_ptr& g, FlowPlacement k, Admission a = Admission::Lossless) { - return cfg(pinned(g, {{0}, {1}}), k, a); - }; - const auto first = place_once(p0, {0}, {1}, two(p0, FlowPlacement::EqualBalanced), std::nullopt); + const auto first = place_once(p0, {0}, {1}, two(p0, std::nullopt), std::nullopt); EXPECT_EQ(first.r.placed, 0); - EXPECT_EQ(first.usable, 2); - EXPECT_EQ(place_once(p1, {0}, {1}, two(p1, FlowPlacement::EqualBalanced), std::nullopt).r.placed, 1); - const auto lossy = place_once(p0, {0}, {1}, two(p0, FlowPlacement::EqualBalanced, Admission::Lossy), 4); + EXPECT_EQ(first.records.size(), 2U); + EXPECT_EQ(place_once(p1, {0}, {1}, two(p1, std::nullopt), std::nullopt).r.placed, 1); + const auto lossy = place_once(p0, {0}, {1}, two(p0, std::nullopt, Admission::Lossy), 4); EXPECT_EQ(lossy.r.placed, 2); EXPECT_EQ(lossy.r.call_drops, (Drops {{0, 2}})); - for (const auto k : {FlowPlacement::Weighted, FlowPlacement::MaxFlow}) { - const auto x = place_once(p0, {0}, {1}, two(p0, k), std::nullopt); - EXPECT_EQ(x.r.placed, 4); - EXPECT_EQ(x.usable, 2); - } - const auto alone = place_once(p0, {0}, {1}, cfg(pinned(p0, {{0}}), FlowPlacement::EqualBalanced), 3); - EXPECT_EQ(alone.usable, 1); + EXPECT_EQ(place_once(p0, {0}, {1}, two(p0, FlowPlacement::Weighted), std::nullopt).r.placed, 0); + const auto weighted_lossy = place_once(p0, {0}, {1}, two(p0, FlowPlacement::Weighted, Admission::Lossy), 4); + EXPECT_EQ(weighted_lossy.r.placed, 2); + EXPECT_EQ(weighted_lossy.r.call_source_loss, 2); + EXPECT_EQ(place_once(p0, {0}, {1}, FlowPolicyConfig {.routing = Global {dag_of(*p0, {0, 1})}}, std::nullopt).r.placed, + 4); + const auto alone = + place_once(p0, {0}, {1}, FlowPolicyConfig {.routing = pinned_dags(*p0, 0, 1, {dag_of(*p0, {0})})}, 3); EXPECT_EQ(alone.r.placed, 0); EXPECT_EQ(alone.r.termination, Termination::Exhausted); ASSERT_EQ(alone.records.size(), 1U); EXPECT_EQ(alone.records[0].delivered, 0); } -// Z-41, Z-50: the Pinned route plan of the Weighted kernel with capacity weights. A route -// without a zero-capacity edge is its own member set (one pass); a route with one keeps only the -// positive edges on the walks that remain (the second pass), its route and route cost unchanged. -TEST(ZeroCapacity, PinnedWeightedPlansKeepOnlyPositiveEdges) { +// Z-41, Z-50: the plan of a Weighted split route with capacity weights. A route without a +// zero-capacity edge is its own member set; a route with one keeps only the positive edges on the +// walks that remain, its route and route cost unchanged. +TEST(ZeroCapacity, WeightedRoutePlansKeepOnlyPositiveEdges) { // 0: 0 -> 1 cap 0, 1: 0 -> 1 cap 4, 2: 0 -> 2 cap 3, 3: 1 -> 3 cap 5, 4: 2 -> 3 cap 0 (costs 1). const auto g = ordered(4, {{0, 1, 0, 1}, {0, 1, 4, 1}, {0, 2, 3, 1}, {1, 3, 5, 1}, {2, 3, 0, 1}}); const NodeId dst[1] = {3}; auto plan = [&](std::vector edges, Cost& cost) { - return detail::make_route_plan(*g, FlowPlacement::Weighted, Admission::Lossless, EdgePriority::Capacity, 0, dst, - *dag_of(*g, std::move(edges)), nullptr, &cost); + return detail::make_plan(*g, FlowPlacement::Weighted, Admission::Lossless, detail::WeightSource {}, 0, dst, + *dag_of(*g, std::move(edges)), &cost); }; Cost cost = -1; const auto positive = plan({1, 3}, cost); // no zero-capacity edge: route == members @@ -449,9 +450,8 @@ TEST(ZeroCapacity, EvaluatorsCountZeroCapacityRoutesAndCandidates) { EXPECT_EQ(ca.baseline.placed, 10); EXPECT_EQ(entries(ca), (std::vector> {{0, 0}, {1, 10}})); const auto p0 = ordered(2, {{0, 1, 0, 1}, {0, 1, 4, 1}}); - Pinned pin; - pin.bundles = {dag_of(*p0, {0}), dag_of(*p0, {1})}; - const auto ps = sensitivity(*p0, v({0}), v({1}), QueryOptions {cfg(pin, FlowPlacement::EqualBalanced)}, 1); + const Pinned pin = pinned_dags(*p0, 0, 1, {dag_of(*p0, {0}), dag_of(*p0, {1})}); + const auto ps = sensitivity(*p0, v({0}), v({1}), QueryOptions {{.routing = pin}}, 1); EXPECT_EQ(ps.baseline.placed, 0); EXPECT_EQ(entries(ps), (std::vector> {{0, -4}, {1, 0}})); } diff --git a/tests/data/policy_fixtures.json b/tests/data/policy_fixtures.json index 7eea053..064abcd 100644 --- a/tests/data/policy_fixtures.json +++ b/tests/data/policy_fixtures.json @@ -1 +1 @@ -{"format":"p2-fixtures/1","source":"prototype 2 of the design tree dev/design/2026-10-streamline (untracked by design): prototypes/p2_transaction in integer units (APPROACH 9), exported by 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diff --git a/tests/py/helpers.py b/tests/py/helpers.py index e4b8f84..0d96433 100644 --- a/tests/py/helpers.py +++ b/tests/py/helpers.py @@ -114,6 +114,9 @@ def config( _RESULTS = ( ngc.PlacementResult, ngc.SourceFlow, + ngc.TunnelFlow, + ngc.ForwardingProgram, + ngc.Tunnel, ngc.SensitivityResult, ngc.SensitivityEntry, ngc.SpfResult, @@ -121,17 +124,24 @@ def config( def plain(value): - """A result as comparable data, with no object identities: a result object by every public - field, a PredDAG by its three arrays, a Path by its endpoints, hops and cost, containers - element by element, arrays as lists.""" + """A result as comparable data, with no object identities: a result object (a program and its + tunnels included) by every public field, a PredDAG by its three arrays, a Path by its + endpoints, hops and cost, an Eligibility by its two masks, containers element by element, + arrays as lists.""" if isinstance(value, _RESULTS): - fields = [f for f in dir(value) if not f.startswith("_")] + fields = [ + f + for f in dir(value) + if not f.startswith("_") and not callable(getattr(value, f)) + ] return {f: plain(getattr(value, f)) for f in fields} if isinstance(value, ngc.PredDAG): return [ plain(a) for a in (value.parent_offsets(), value.parents(), value.via_edges()) ] + if isinstance(value, ngc.Eligibility): + return [plain(value.node_allowed()), plain(value.edge_allowed())] if isinstance(value, ngc.Path): return [value.src(), value.dst(), plain(value.hops()), value.cost()] if isinstance(value, dict): @@ -156,6 +166,7 @@ def ledger_state(ledger): r.sources, r.destinations, r.admission, + r.entry, [ r.bundle.parent_offsets().tolist(), r.bundle.parents().tolist(), diff --git a/tests/py/program_oracle.py b/tests/py/program_oracle.py new file mode 100644 index 0000000..50129a5 --- /dev/null +++ b/tests/py/program_oracle.py @@ -0,0 +1,248 @@ +"""An independent reference for forwarding programs of tunnels (the property tests of +test_programs.py). It restates the contract's rules in plain Python and calls nothing of the +library: round robin and highest averages (2.3), the injection over the roster and the split of +each head's share over its entries (8.1), the lossless bound of a fixed program (8.3), the loss +rule inside one program with the nested split at each link, sources first and then entries +(9.1, 9.2), and a maximum flow with its residual-graph certificates (4.1). + +The loss rule is evaluated by synchronous rounds from zero, not by the library's ordering of +events: for tunnels that visit links in one topological order (the generators draw paths over a +DAG) the rounds settle on the unique solution of the link equations within the longest path's +number of hops.""" + +from __future__ import annotations + +from fractions import Fraction + + +def rr(n, k): + """Round robin: n units over k members; the first n % k members get one more.""" + return [n // k + (i < n % k) for i in range(k)] if k else [] + + +def ha(n, weights): + """Highest averages: each unit to the largest weight / (assigned + 1), ties to the lower + position; all weights 0 assign nothing.""" + total = sum(weights) + if total == 0: + return [0] * len(weights) + got = [n * w // total for w in weights] + for _ in range(n - sum(got)): + best = max( + range(len(weights)), key=lambda i: (Fraction(weights[i], got[i] + 1), -i) + ) + got[best] += 1 + return got + + +def replay_roster(specs, rows, excluded_edges, destinations): + """The replay roster (8.4): the heads (ascending) that still reach a destination over their + original routes' edges (the union of their tunnels, the saved basis) without the excluded + edges, whether or not one of their tunnels survives whole. rows: (u, v, ...) per EdgeId.""" + heads = sorted({h for h, _, _ in specs}) + out = [] + for h in heads: + basis = {e for head, es, _ in specs if head == h for e in es} - set( + excluded_edges + ) + seen, stack = {h}, [h] + while stack: + u = stack.pop() + for e in basis: + if rows[e][0] == u and rows[e][1] not in seen: + seen.add(rows[e][1]) + stack.append(rows[e][1]) + if seen & set(destinations): + out.append(h) + return out + + +def entry_amounts(x, specs, alive=None, source_weights=None, roster=None): + """The amount of each tunnel of a program for a total offer x. + + specs: (head, edges, weight) in index order; alive: per tunnel, False when it is FAILED; + roster: the replay roster (default: every head with a tunnel, the program's own). Equal + sources split x by round robin over the roster, captured source weights by highest averages; + a head then splits its share by highest averages over its surviving tunnels' weights. What no + tunnel carries is lost at the source: an empty roster's whole offer, the offer captured + weights of 0 do not inject, a head whose surviving tunnels have weight 0 or that has none. + Returns (amounts, source_loss).""" + alive = alive if alive is not None else [True] * len(specs) + roster = roster if roster is not None else sorted({h for h, _, _ in specs}) + if not roster: + return [0] * len(specs), x + if source_weights is None: + shares = rr(x, len(roster)) + else: + weights = dict(source_weights) + shares = ha(x, [weights[h] for h in roster]) + amounts = [0] * len(specs) + lost = x - sum(shares) + for h, share in zip(roster, shares, strict=True): + ids = [i for i, (head, _, _) in enumerate(specs) if head == h and alive[i]] + split = ha(share, [specs[i][2] for i in ids]) + lost += share - sum(split) + for i, a in zip(ids, split, strict=True): + amounts[i] = a + return amounts, lost + + +def loads(specs, amounts, num_edges): + """Per edge, the sum of the amounts of the tunnels that use it (once per use).""" + out = [0] * num_edges + for (_, edges, _), a in zip(specs, amounts, strict=True): + for e in edges: + out[e] += a + return out + + +def lossless_bound( + specs, caps, alive=None, source_weights=None, roster=None, top=1 << 20 +): + """The largest x whose amounts fit every capacity and lose nothing at the sources (the + split rules are house-monotone, so the fitting offers are a prefix: bisection).""" + + def fits(x): + amounts, lost = entry_amounts(x, specs, alive, source_weights, roster) + load = loads(specs, amounts, len(caps)) + return lost == 0 and all(u <= c for u, c in zip(load, caps, strict=True)) + + lo, hi = 0, top + if fits(hi): + return hi + while hi - lo > 1: + mid = (lo + hi) // 2 + lo, hi = (mid, hi) if fits(mid) else (lo, mid) + return lo + + +def nested_split(service, arrivals, heads): + """One link's service split over its occurrences: highest averages over the heads' arrival + totals (ascending head), then within each head over its occurrences' arrivals (in order).""" + out = [0] * len(arrivals) + order = sorted(set(heads)) + totals = [ + sum(a for a, h in zip(arrivals, heads, strict=True) if h == k) for k in order + ] + for k, quota in zip(order, ha(service, totals), strict=True): + ids = [i for i, h in enumerate(heads) if h == k] + for i, c in zip(ids, ha(quota, [arrivals[i] for i in ids]), strict=True): + out[i] = c + return out + + +def lossy(specs, amounts, caps): + """The loss rule by synchronous rounds from zero. Returns per tunnel (delivered, dropped) + and the carried amount of each edge; raises when the rounds do not settle.""" + occ = {} + for i, (_, edges, _) in enumerate(specs): + for j, e in enumerate(edges): + occ.setdefault(e, []).append((i, j)) + carried = [[0] * len(edges) for _, edges, _ in specs] + limit = 2 + max((len(edges) for _, edges, _ in specs), default=0) + for _ in range(limit + 1): + arrival = [ + [a if j == 0 else carried[i][j - 1] for j in range(len(edges))] + for i, ((_, edges, _), a) in enumerate(zip(specs, amounts, strict=True)) + ] + new = [[0] * len(edges) for _, edges, _ in specs] + for e, members in occ.items(): + arr = [arrival[i][j] for i, j in members] + heads = [specs[i][0] for i, _ in members] + for (i, j), c in zip( + members, nested_split(min(caps[e], sum(arr)), arr, heads), strict=True + ): + new[i][j] = c + if new == carried: + break + carried = new + else: + raise AssertionError("the rounds did not settle") + rows = [] + for i, a in enumerate(amounts): + delivered = carried[i][-1] if carried[i] else a + rows.append((delivered, a - delivered)) + edge = [0] * len(caps) + for e, members in occ.items(): + edge[e] = sum(carried[i][j] for i, j in members) + return rows, edge + + +def max_flow(num_nodes, arcs, sources, sinks): + """Edmonds-Karp over arcs (u, v, cap) from a super source over `sources` to a super sink + over `sinks`. Returns (value, flow per arc).""" + s, t = num_nodes, num_nodes + 1 + big = sum(c for _, _, c in arcs) + 1 + adj = [[] for _ in range(num_nodes + 2)] + head, cap = [], [] + + def add(u, v, c): + adj[u].append(len(head)) + head.append(v) + cap.append(c) + adj[v].append(len(head)) + head.append(u) + cap.append(0) + + for u, v, c in arcs: + add(u, v, c) + for u in sources: + add(s, u, big) + for v in sinks: + add(v, t, big) + value = 0 + while True: + parent = [-1] * (num_nodes + 2) + parent[s] = -2 + queue = [s] + for u in queue: + for a in adj[u]: + if cap[a] > 0 and parent[head[a]] == -1: + parent[head[a]] = a + queue.append(head[a]) + if parent[t] == -1: + break + push, v = big, t + while v != s: + a = parent[v] + push = min(push, cap[a]) + v = head[a ^ 1] + v = t + while v != s: + a = parent[v] + cap[a] -= push + cap[a ^ 1] += push + v = head[a ^ 1] + value += push + return value, [cap[2 * k + 1] for k in range(len(arcs))] + + +def residual_certificates(num_nodes, arcs, flow, sources, sinks): + """For a flow on arcs (u, v, cap, cost): (no augmenting path from the sources to the sinks, + no negative-cost cycle in the residual graph). Both true: a minimum-cost maximum flow.""" + res = [] + for (u, v, c, w), f in zip(arcs, flow, strict=True): + if f < c: + res.append((u, v, w)) + if f > 0: + res.append((v, u, -w)) + reach, stack = set(sources), list(sources) + while stack: + u = stack.pop() + for a, b, _ in res: + if a == u and b not in reach: + reach.add(b) + stack.append(b) + maximal = not (reach & set(sinks)) + dist = [ + 0 + ] * num_nodes # Bellman-Ford from a virtual root joined to every node at cost 0 + for _ in range(num_nodes): + changed = False + for a, b, w in res: + if dist[a] + w < dist[b]: + dist[b] = dist[a] + w + changed = True + if not changed: + return maximal, True + return maximal, False diff --git a/tests/py/test_apportionment.py b/tests/py/test_apportionment.py index b6582a2..cde9949 100644 --- a/tests/py/test_apportionment.py +++ b/tests/py/test_apportionment.py @@ -23,5 +23,8 @@ def test_apportionment_entries(): assert sum(a) == big with pytest.raises(ValueError, match=exact("weights[0] = 0 is outside [1, 2^62)")): ext._highest_averages(1, [0, 1]) - with pytest.raises(ValueError, match=exact("the weights sum to 2^62 or more")): - ext._highest_averages(1, [1 << 61, 1 << 61]) + # Legal weights whose sum reaches 2^64 are summed exactly. Eight of 2^61: one each. Two of + # 2^61 sharing 3: the lower quotas are 1 and 1; the unit left goes to the tie's first member + # (as 9/5 above). + assert ext._highest_averages(8, [1 << 61] * 8) == [1] * 8 + assert ext._highest_averages(3, [1 << 61, 1 << 61]) == [2, 1] diff --git a/tests/py/test_docs_examples.py b/tests/py/test_docs_examples.py index 523df32..305c59e 100644 --- a/tests/py/test_docs_examples.py +++ b/tests/py/test_docs_examples.py @@ -107,7 +107,7 @@ def test_semantics_examples_print_their_documented_output(): text = (ROOT / "docs" / "semantics.md").read_text(encoding="utf-8") # The counts are pinned, so an example deleted together with its output is noticed: a # change to the document's examples updates them. - assert check_examples(text, "docs/semantics.md") == (16, 15) + assert check_examples(text, "docs/semantics.md") == (20, 19) def test_readme_quick_start_prints_its_commented_output(): diff --git a/tests/py/test_flow_ledger.py b/tests/py/test_flow_ledger.py index 6a2fac2..7b70b39 100644 --- a/tests/py/test_flow_ledger.py +++ b/tests/py/test_flow_ledger.py @@ -1,7 +1,7 @@ """The integer ledger FlowLedger through the bindings (docs/semantics.md#6-the-ledger): baselines on unnarrowed values, snapshots and records, FlowIds, bottleneck, and the lifetime -table driven by manual placements: FlowPolicy with Pinned routing and one bundle (a manual -flow), whose PlacementResult the tests read.""" +table driven by manual placements on one fixed route (a manual flow: Global with the route as its +support, or Pinned over a program of the one split route), whose PlacementResult the tests read.""" from __future__ import annotations @@ -18,12 +18,10 @@ L62, RES, build, - config, dag_of, exact, ids, ledger_state, - sel, ) from private_hooks import HOOKS, needs_hooks @@ -33,13 +31,28 @@ def pinned(fg, src, dst, edges, placement, admission=None, priority=None): - """A manual flow: a FlowPolicy with Pinned routing and one bundle (the edges' DAG).""" - cfg = config( - ngc.Pinned([dag_of(fg.graph(), edges)]), - placement, - admission, - sel(prio=RES if priority is None else priority), + """A manual flow on the edges' DAG: MAX_FLOW is Global with that DAG as its support (a + controller restricted to it); EQUAL_BALANCED and WEIGHTED are Pinned over a program of the one + split route (WEIGHTED's weights: the ledger's residual now, frozen, as the old flow read them + at its creation, unless the priority is CAPACITY).""" + g = fg.graph() + admission = admission or ngc.Admission.LOSSLESS + if placement == ngc.FlowPlacement.MAX_FLOW: + cfg = ngc.FlowPolicyConfig( + routing=ngc.Global(support=dag_of(g, edges)), admission=admission + ) + return ngc.FlowPolicy(fg, src, dst, cfg) + snapshot = placement == ngc.FlowPlacement.WEIGHTED and (priority or RES) == RES + program = ngc.ForwardingProgram.from_routes( + g, + src, + dst, + [ngc.Route(src, dag_of(g, edges))], + placement=placement, + weights=ngc.WeightBasis.RESIDUAL_SNAPSHOT if snapshot else None, + residual=fg.residual() if snapshot else None, ) + cfg = ngc.FlowPolicyConfig(routing=ngc.Pinned(program), admission=admission) return ngc.FlowPolicy(fg, src, dst, cfg) @@ -286,9 +299,10 @@ def test_record_endpoint_sets_are_ascending(): def test_empty_split_graph_keeps_the_route_cost(): - # Weighted Residual with every route edge at residual 0 under another owner's flow: the - # record exists at zero delivery with an empty split graph (no positive weight: - # NO_ACTIVE_WEIGHT); route_cost is the bundle's minimum walk cost, not a split-graph value. + # Weighted with a residual snapshot of 0 on every route edge under another owner's flow: + # the record exists at zero delivery with an empty split graph (no positive weight: + # NO_ACTIVE_WEIGHT); route_cost is the route's minimum walk cost, not a split-graph value. + # The first preparation installs the program: routes and weights changed. g = build(2, [(0, 1, 2, 3)]) fg = ngc.FlowLedger(g) pinned(fg, 0, 1, [0], MF).place(2) @@ -298,7 +312,7 @@ def test_empty_split_graph_keeps_the_route_cost(): 0, T.NO_ACTIVE_WEIGHT, True, - False, + True, ) rec = fg.record(flow_id(w)) assert (rec.route_cost, rec.delivered, rec.edges) == (3, 0, []) @@ -416,19 +430,28 @@ def test_ledger_bottleneck_with_eligibility_and_errors(): fg.bottleneck([0], build(4, [(0, 1, 1, 1)]).eligibility(excluded_edges=[0])) -def test_pinned_construction_errors(): +def test_manual_flow_construction_errors(): g = build(3, [(0, 1, 5, 1), (2, 1, 5, 1)]) fg = ngc.FlowLedger(g) - with pytest.raises(ValueError, match="malformed bundle"): - pinned(fg, 0, 2, [0, 1], MF) + with pytest.raises( + ValueError, match=exact("routes[0]: no walk from head 0 to a destination") + ): + pinned(fg, 0, 2, [0, 1], EB) + # As a support, a route without a walk leaves the roster empty. + assert pinned(fg, 0, 2, [0, 1], MF).place(1).termination == T.NO_ROUTE with pytest.raises(ValueError, match=exact("MAX_FLOW requires admission=LOSSLESS")): pinned(fg, 0, 1, [0], MF, LOSSY) - with pytest.raises(ValueError, match="Headroom"): - pinned(fg, 0, 1, [0], W, priority=ngc.EdgePriority.HEADROOM) with pytest.raises(ValueError, match="both endpoint sets"): pinned(fg, 1, 1, [0], MF) other = build(3, [(0, 1, 5, 1), (2, 1, 5, 1)]) - foreign = config(ngc.Pinned([dag_of(other, [0])]), MF, selection=sel(prio=RES)) - with pytest.raises(ValueError, match="foreign PredDAG"): + foreign = ngc.FlowPolicyConfig(routing=ngc.Global(support=dag_of(other, [0]))) + with pytest.raises(ValueError, match=exact("support belongs to another graph")): ngc.FlowPolicy(fg, 0, 1, foreign) + foreign_route = ngc.ForwardingProgram.from_routes( + other, 0, 1, [ngc.Route(0, dag_of(other, [0]))] + ) + with pytest.raises(ValueError, match=exact("program belongs to another graph")): + ngc.FlowPolicy( + fg, 0, 1, ngc.FlowPolicyConfig(routing=ngc.Pinned(foreign_route)) + ) fg.reset() # no policy is bound diff --git a/tests/py/test_flow_policy.py b/tests/py/test_flow_policy.py index 3a59c15..33d5778 100644 --- a/tests/py/test_flow_policy.py +++ b/tests/py/test_flow_policy.py @@ -64,7 +64,9 @@ def test_configurations_are_structural_and_explicit(): with pytest.raises(TypeError): ngc.FlowPolicyConfig(routing=ngc.CostOnly(), placement=1) with pytest.raises(TypeError): - ngc.FlowPolicyConfig(routing=ngc.Global(), weights=None) # an unknown keyword + ngc.FlowPolicyConfig(routing=ngc.Global(), bundles=None) # an unknown keyword + with pytest.raises(TypeError): + ngc.FlowPolicyConfig(routing=ngc.CostOnly(), weights="EXPLICIT") with pytest.raises(TypeError, match="incompatible"): ngc.CostOnly(flow_count=2) # a field outside its routing variant: TypeError with pytest.raises(TypeError, match="incompatible"): @@ -108,7 +110,7 @@ def test_configurations_are_structural_and_explicit(): ), ): ngc.CapacityAware(min_flow_bandwidth=2**80) - with pytest.raises(TypeError, match="PredDAG"): + with pytest.raises(TypeError): ngc.Pinned([[0, 1]]) cfg = config(ca) assert isinstance(cfg.routing, ngc.CapacityAware) @@ -151,25 +153,21 @@ def test_configurations_are_structural_and_explicit(): min_cut=flags[3], ) assert (o.edge_flows, o.residual, o.bottleneck, o.min_cut) == flags - # Pinned keeps the bundles in supply order, copied from the given list: each read is a new - # list of the same PredDAG objects, and changing a list read changes nothing. + # Pinned keeps its program and black holes by reference (one shared, immutable value each). g = diamond() a, b = dag_of(g, ids(g, [0, 1])), dag_of(g, ids(g, [2, 3])) - given = [b, a] - pinned = ngc.Pinned(given) - given.append(a) - first = pinned.bundles - assert first == [b, a] and first[0] is b and first[1] is a - first.append(b) - second = pinned.bundles - assert second == [b, a] and second is not first - # A policy's config is the configuration it was built with, its absent origin and selection - # resolved to the model's defaults (Pinned takes no origin). - pol = ngc.FlowPolicy( - ngc.FlowLedger(g), 0, 3, config(pinned, ngc.FlowPlacement.MAX_FLOW) + program = ngc.ForwardingProgram.from_routes( + g, 0, 3, [ngc.Route(0, b), ngc.Route(0, a)] ) - assert pol.config.placement == ngc.FlowPlacement.MAX_FLOW - assert pol.config.routing.bundles == [b, a] + dark = g.eligibility(excluded_edges=ids(g, [0])) + pinned = ngc.Pinned(program, black_holes=dark) + assert pinned.program is program and pinned.black_holes is dark + assert ngc.Pinned(program).black_holes is None + # A policy's config is the configuration it was built with, its absent origin and selection + # resolved to the model's defaults (Pinned takes none). + pol = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, ngc.FlowPolicyConfig(routing=pinned)) + assert pol.config.placement is None and pol.config.selection is None + assert pol.config.routing.program is program assert pol.config.origin is None for routing, placement, origin in ( (ngc.CostOnly(), ngc.FlowPlacement.EQUAL_BALANCED, ngc.Origin.EQUAL), @@ -361,20 +359,17 @@ def rejects(cfg, msg, src=0): config(ngc.CapacityAware(diminishing=ngc.DiminishingReturns(1, 1.0))), "diminishing fraction must be in (0, 1) (got 1.000000)", ) - rejects(config(ngc.Pinned([])), "Pinned: an empty bundle list is rejected") b = dag_of(g, ids(g, [0, 1])) + program = ngc.ForwardingProgram.from_routes(g, 0, 3, [ngc.Route(0, b)]) rejects( - config(ngc.Pinned([b, b])), - "Pinned: duplicate bundle 1 (equal to bundle 0 before pruning)", - ) - rejects( - config(ngc.Pinned([dag_of(g, ids(g, [0, 3]))])), - "Pinned: malformed bundle 0, no src -> dst walk (src 0, dst 3)", + ngc.FlowPolicyConfig( + routing=ngc.Pinned(program), placement=ngc.FlowPlacement.MAX_FLOW + ), + "Pinned does not accept placement", ) rejects( - config(ngc.Pinned([b])), - "Pinned routing requires single endpoints (bundles bind one source and one " - "destination)", + ngc.FlowPolicyConfig(routing=ngc.Pinned(program)), + "program endpoints do not match policy endpoints", src=[0, 1], ) rejects( @@ -560,7 +555,8 @@ def test_placement_result_fields_and_outputs(): r = pol.place(4) assert (r.placed, r.remaining, r.termination) == (4, 0, T.COMPLETE) assert not hasattr(r, "local_outcomes") - assert (r.routes_changed, r.weights_changed, r.call_drops) == (True, False, []) + # The epoch's first call installs the program: its routes and weights. + assert (r.routes_changed, r.weights_changed, r.call_drops) == (True, True, []) assert (r.delivery_delta, r.call_source_loss, r.drops, r.source_loss) == ( 4, 0, @@ -725,7 +721,7 @@ def test_stretch_baseline_is_the_static_shortest_cost(kernel, factor, placed, ro ledger, 0, 4, - config(ngc.Pinned([dag_of(g, ids(g, [0, 1]))]), ngc.FlowPlacement.MAX_FLOW), + ngc.FlowPolicyConfig(routing=ngc.Global(support=dag_of(g, ids(g, [0, 1])))), ) assert third.place(2).placed == 2 p = ngc.FlowPolicy(ledger, 0, 4, gated(kernel, ngc.Stretch(factor))) @@ -815,19 +811,29 @@ def test_owner_hook_is_the_owner_of_the_records(): assert [r.owner for r in p.records()] == [owner] -def test_pinned_usable_bundles_and_records(): +def pinned_over(g, *dags): + """Pinned over a program of the split routes `dags` of head 0 to node 3.""" + program = ngc.ForwardingProgram.from_routes( + g, 0, 3, [ngc.Route(0, d) for d in dags] + ) + return ngc.FlowPolicyConfig(routing=ngc.Pinned(program)) + + +def test_pinned_records(): g = diamond() fg = ngc.FlowLedger(g) r1, r2 = dag_of(g, ids(g, [0, 1])), dag_of(g, ids(g, [2, 3])) el = g.eligibility(excluded_edges=ids(g, [3])) - pol = ngc.FlowPolicy(fg, 0, 3, config(ngc.Pinned([r1, r2])), el) - assert pol.usable_bundles() == 1 + # The replay fails the second route (its last edge excluded): the head's share goes to the + # first; one record per program entry, the failed one with an empty bundle. + pol = ngc.FlowPolicy(fg, 0, 3, pinned_over(g, r1, r2), el) r = pol.place(9) assert (r.placed, r.termination) == (5, T.EXHAUSTED) - rec = pol.records()[0] + rec, failed = pol.records() assert rec.bundle == r1 and pol.record(rec.flow_id).delivered == 5 + assert (rec.entry, failed.entry, failed.route_cost) == (0, 1, None) # record() reads the policy's own records only, not another policy's on the same ledger. - other = ngc.FlowPolicy(fg, 0, 3, config(ngc.Pinned([r1]))) + other = ngc.FlowPolicy(fg, 0, 3, pinned_over(g, r1)) other.place(1) theirs = other.records()[0].flow_id with pytest.raises( @@ -849,9 +855,8 @@ def test_pinned_usable_bundles_and_records(): ): pol.record(rec.flow_id) all_down = ngc.FlowPolicy( - fg, 0, 3, config(ngc.Pinned([r2])), g.eligibility(excluded_edges=ids(g, [3])) + fg, 0, 3, pinned_over(g, r2), g.eligibility(excluded_edges=ids(g, [3])) ) - assert all_down.usable_bundles() == 0 r = all_down.place(1) assert (r.placed, r.termination, r.by_source[0].admitted) == (0, T.NO_ROUTE, 0) @@ -918,11 +923,13 @@ def test_capacity_batch_and_workers(monkeypatch): ValueError, match=exact("per_pair_elig has 1 entries for 4 pairs") ): ngc.batch_capacity(g, pairs, ngc.QueryOptions(GLOBAL), [None]) - with pytest.raises(ValueError, match="Pinned"): + with pytest.raises( + ValueError, match=exact("batch_capacity does not accept Pinned") + ): ngc.batch_capacity( g, pairs, - ngc.QueryOptions(config(ngc.Pinned([dag_of(g, ids(g, [0, 1]))]))), + ngc.QueryOptions(pinned_over(g, dag_of(g, ids(g, [0, 1])))), ) cache = ngc.DagCache(g) eb = ngc.QueryOptions(COSTONLY, cache=cache) diff --git a/tests/py/test_flow_policy_fixtures.py b/tests/py/test_flow_policy_fixtures.py index 14cf3b8..aa7b9a6 100644 --- a/tests/py/test_flow_policy_fixtures.py +++ b/tests/py/test_flow_policy_fixtures.py @@ -1,4 +1,4 @@ -"""The 59 fixtures of the independent reference replayed through the bindings (the ledger and +"""The 55 fixtures of the independent reference replayed through the bindings (the ledger and the policies). ``tests/data/policy_fixtures.json`` was exported from the independent reference @@ -10,7 +10,7 @@ trace (the reference's keys: offers, created, per source the creation reservations, reroute decisions, amounts and growth steps; Global's view, cap, flow-core payload and shares), the ledger after it (allocations, residuals, every record field, next FlowId, owners) and the -policy state (roster, requested, +inf, placed demand, usable bundles, per source the flows' +policy state (roster, requested, +inf, placed demand, per source the flows' ids, routes, T, deliveries, allocations, members and weights). An operation the reference rejects must raise here too (the messages differ), and a rejected placement leaves the policy's state as it was. Normalised on both sides: the T_max probe @@ -53,6 +53,11 @@ "Capacity": ngc.EdgePriority.CAPACITY, "Headroom": ngc.EdgePriority.HEADROOM, } +WEIGHTS = { + "Capacity": ngc.WeightBasis.CAPACITY, + "Explicit": ngc.WeightBasis.EXPLICIT, + "ResidualSnapshot": ngc.WeightBasis.RESIDUAL_SNAPSHOT, +} def norm(x): @@ -103,10 +108,9 @@ def config_of(g, c): if kind == "CostOnly": routing = ngc.CostOnly() elif kind == "Global": - routing = ngc.Global() - elif kind == "Pinned": - routing = ngc.Pinned([dag_of(g, b) for b in r["bundles"]]) - else: + support = r.get("support") + routing = ngc.Global(support=None if support is None else dag_of(g, support)) + elif kind == "CapacityAware": ceiling = None if r["max_path_cost"] is not None: name, value = r["max_path_cost"] @@ -124,6 +128,8 @@ def config_of(g, c): reoptimize=r["reoptimize"], diminishing=dim, ) + else: + raise AssertionError(f"the data names an unknown routing ({kind})") sel = c["selection"] return ngc.FlowPolicyConfig( routing=routing, @@ -137,6 +143,7 @@ def config_of(g, c): sel["multipath"], sel["multi_edge"], ), + weights=None if c.get("weights") is None else WEIGHTS[c["weights"]], ) @@ -230,7 +237,6 @@ def policy_json(pol): "requested": st["requested"], "infinite": st["infinite"], "placed_demand": st["placed_demand"], - "usable": pol.usable_bundles(), "cohorts": cohorts, } @@ -341,8 +347,8 @@ def construct(op=op, fg=fg, g=g): def test_the_data_holds_every_fixture(): - assert len(FIXTURES) == 59 - assert len({fx["name"] for fx in FIXTURES}) == 59 + assert len(FIXTURES) == 55 + assert len({fx["name"] for fx in FIXTURES}) == 55 @needs_hooks diff --git a/tests/py/test_native_allocation.py b/tests/py/test_native_allocation.py index 681df55..43b9c02 100644 --- a/tests/py/test_native_allocation.py +++ b/tests/py/test_native_allocation.py @@ -1,6 +1,7 @@ """Native allocation failures in the staged result constructions and in FlowLedger.reset: the -k-th C++ allocation of spf, ksp, resolve_to_paths, of the calls whose result objects are made -before anything is published (place, capacity, batch_capacity, sensitivity) and of reset fails, +k-th C++ allocation of spf, ksp, resolve_to_paths, ForwardingProgram.from_routes, of the calls +whose result objects are made before anything is published (place, evaluate, replace, forward, +capacity, batch_capacity, sensitivity) and of reset fails, for every k in turn (the private hook _fail_native_allocation). Every unabsorbed failure raises MemoryError, never aborts, leaves nothing it allocated behind and the observable state as it was. Standard-library optional buffers may absorb a failure; every successful call, including @@ -113,6 +114,86 @@ def snap(): return make +def exported(g, cfg=None, sources=0): + """A model's program on g (a Global optimized one by default), for Pinned.""" + return ngc.FlowPolicy(ngc.FlowLedger(g), sources, 4, cfg or GLOBAL).place(6).program + + +def operation(cfg_of, method, sources=0, prepare="place", **kw): + """A call of `method` (offer 6, ALL_OUT, keywords kw of the graph) on a policy whose + configuration is cfg_of(g), after a `prepare(2)` in the same epoch; the snapshot adds the + installed program.""" + + def make(): + g = graph() + ledger = ngc.FlowLedger(g) + policy = ngc.FlowPolicy(ledger, sources, 4, cfg_of(g)) + getattr(policy, prepare)(2) + extra = {name: value(g) for name, value in kw.items()} + + def call(offer): + return getattr(policy, method)(offer, outputs=ALL_OUT, **extra) + + def snap(): + records = [(r.flow_id[1], r.delivered) for r in policy.records()] + return [ + full_ledger_state(ledger), + policy.placed_demand(), + records, + epoch_state(policy), + plain(policy.program), + ] + + return call, (6,), snap + + return make + + +def pinned_cfg(program_of, admission=ngc.Admission.LOSSLESS, black_holes=None): + return lambda g: ngc.FlowPolicyConfig( + routing=ngc.Pinned( + program_of(g), black_holes=None if black_holes is None else black_holes(g) + ), + admission=admission, + ) + + +def split_route_args(g): + """from_routes' arguments for one WEIGHTED split route (a snapshot of half the capacity) + and one tunnel; the inputs are made before the swept call (a failed allocation inside + pybind11's registration of a new object escapes the hook: not this call's).""" + dag = ngc.spf(g, 0, spf_opts()).dag + tunnel = ngc.resolve_to_paths(g, dag, 0, 4, True)[0] + + def call(*args): + return ngc.ForwardingProgram.from_routes( + *args, + placement=ngc.FlowPlacement.WEIGHTED, + weights=ngc.WeightBasis.RESIDUAL_SNAPSHOT, + residual=residual, + ) + + residual = half(g) + return call, (g, 0, 4, [ngc.Route(0, dag, weight=2), ngc.Route(0, tunnel)]) + + +def split_route(g): + call, args = split_route_args(g) + return call(*args) + + +def getter(make_owner, read): + """A getter that wraps a shared value in a new Python object (no wrapper exists yet): + make_owner(g) builds the object that holds it, read(owner) reads it.""" + + def make(): + g = graph() + owner = make_owner(g) + return read, (owner,), lambda: [caps(g)] + + return make + + def frozen_cache_capacity(): g = graph() cache = ngc.DagCache(g) @@ -196,6 +277,69 @@ def spf_opts(direction=ngc.Direction.FORWARD, multipath=True, **kw): "sensitivity.global": stateless( lambda g: (ngc.sensitivity, (g, 0, 4, ngc.QueryOptions(GLOBAL), 1)) ), + # Forwarding programs (step 3): building one, every operation over one, black holes, a + # support, and the evaluators over Pinned. + "from_routes": stateless(split_route_args), + "replace.pinned_tunnels_lossy": operation( + pinned_cfg( + exported, ngc.Admission.LOSSY, lambda g: g.eligibility(excluded_edges=[1]) + ), + "replace", + ), + "place.pinned_split_route": operation(pinned_cfg(split_route), "place"), + "evaluate.global": operation(lambda g: GLOBAL, "evaluate"), + "replace.global_support": operation( + lambda g: ngc.FlowPolicyConfig( + routing=ngc.Global(support=ngc.spf(g, 0, spf_opts()).dag) + ), + "replace", + ), + "forward.costonly_pooled_lossy_black_holes": operation( + lambda g: POOLED_LOSSY, + "forward", + sources=[0, 1], + prepare="replace", + black_holes=lambda g: g.eligibility(excluded_edges=[0]), + ), + "capacity.pinned_lossy": stateless( + lambda g: ( + ngc.capacity, + ( + g, + 0, + 4, + ngc.QueryOptions( + pinned_cfg(exported, ngc.Admission.LOSSY)(g), + offered=6, + outputs=ALL_OUT, + ), + ), + ) + ), + # The getters of shared values (a failed wrapper registration once freed the value twice). + "PlacementResult.program": getter( + lambda g: ngc.FlowPolicy(ngc.FlowLedger(g), 0, 4, GLOBAL).place(6), + lambda r: r.program, + ), + "FlowRecord.bundle": getter( + lambda g: (lambda p: (p.place(6), p.records()[0])[1])( + ngc.FlowPolicy(ngc.FlowLedger(g), 0, 4, COSTONLY) + ), + lambda r: r.bundle, + ), + "Eligibility.intersect": getter( + lambda g: ( + g.eligibility(excluded_edges=[0]), + g.eligibility(excluded_edges=[1]), + ), + lambda pair: ngc.Eligibility.intersect(*pair), + ), + "sensitivity.pinned": stateless( + lambda g: ( + ngc.sensitivity, + (g, 0, 4, ngc.QueryOptions(pinned_cfg(exported)(g)), 1), + ) + ), } @@ -428,8 +572,14 @@ def run_child(name): from private_hooks import needs_hooks # The scenarios with fewer than ten native allocations, and at least how many they make: - # reset converts the residual from Python, then builds the new baseline. - FEW = {"FlowLedger.reset": 3} + # reset converts the residual from Python, then builds the new baseline; a getter registers + # its new wrapper (intersect first makes the new value). + FEW = { + "FlowLedger.reset": 3, + "PlacementResult.program": 1, + "FlowRecord.bundle": 1, + "Eligibility.intersect": 4, + } def check(name, proc, rows, started): """The checks of one scenario's rows.""" diff --git a/tests/py/test_origin.py b/tests/py/test_origin.py index f20ab7b..eac631b 100644 --- a/tests/py/test_origin.py +++ b/tests/py/test_origin.py @@ -50,6 +50,18 @@ PREFER_PATH = sel(tie=ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, mp=False) +def pinned_route(g, src, dst, edges, placement=None, admission=None, **fields): + """Pinned over a program of one split route (the edges' DAG) from src to dst.""" + program = ngc.ForwardingProgram.from_routes( + g, src, dst, [ngc.Route(src, dag_of(g, edges))], placement=placement + ) + return ngc.FlowPolicyConfig( + routing=ngc.Pinned(program), + admission=admission or ngc.Admission.LOSSLESS, + **fields, + ) + + def graph(edges): return build(1 + max(max(u, v) for u, v, *_ in edges), edges) @@ -105,9 +117,7 @@ def test_defaults_resolve(): == ORIGIN.EQUAL ) assert ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, glob()).config.selection is None - pinned = ngc.FlowPolicyConfig( - routing=ngc.Pinned([dag_of(g, [0])]), placement=P.MAX_FLOW - ) + pinned = pinned_route(g, 0, 3, [0]) assert ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, pinned).config.origin is None @@ -116,7 +126,7 @@ def test_conversion_errors(): with pytest.raises(TypeError): ngc.FlowPolicyConfig(ngc.CostOnly(), P.EQUAL_BALANCED) with pytest.raises(TypeError): - ngc.FlowPolicyConfig(routing=ngc.CostOnly(), weights=None) + ngc.FlowPolicyConfig(routing=ngc.CostOnly(), bundles=None) with pytest.raises(TypeError): ngc.FlowPolicyConfig(routing=ngc.Global(), origin="EQUAL") @@ -208,22 +218,18 @@ def test_matrix_texts(config, message): def test_pinned_rows(): - # C8, C10, C12 for Pinned (one source and one destination). + # C8, C10, C12 for Pinned: no placement and no origin (its program has the injection). g = graph(B1) - bundles = ngc.Pinned([dag_of(g, [0])]) for config, message in ( ( - ngc.FlowPolicyConfig( - routing=bundles, placement=P.MAX_FLOW, origin=ORIGIN.EQUAL - ), + pinned_route(g, 0, 3, [0], origin=ORIGIN.EQUAL), "Pinned does not accept origin", ), - (ngc.FlowPolicyConfig(routing=bundles), "Pinned requires placement"), ( ngc.FlowPolicyConfig( - routing=bundles, placement=P.MAX_FLOW, admission=A.LOSSY + routing=pinned_route(g, 0, 3, [0]).routing, placement=P.MAX_FLOW ), - "MAX_FLOW requires admission=LOSSLESS", + "Pinned does not accept placement", ), ): with pytest.raises(ValueError, match=exact(message)): @@ -234,9 +240,7 @@ def test_cache_rule(): # C11, C16: only CostOnly reads a DagCache; the table comes first. g = graph(B1) cache = ngc.DagCache(g) - pinned = ngc.FlowPolicyConfig( - routing=ngc.Pinned([dag_of(g, [0])]), placement=P.MAX_FLOW - ) + pinned = pinned_route(g, 0, 3, [0]) capacity_aware = ngc.FlowPolicyConfig( routing=ngc.CapacityAware(), placement=P.MAX_FLOW ) @@ -618,10 +622,10 @@ def test_result_accounting(): ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, config).place(1).total_cost is None ) - pinned = ngc.FlowPolicyConfig( - routing=ngc.Pinned([dag_of(g, [0])]), placement=P.MAX_FLOW - ) + pinned = pinned_route(g, 0, 3, [0]) assert ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, pinned).place(1).total_cost is None + support = ngc.FlowPolicyConfig(routing=ngc.Global(support=dag_of(g, [0]))) + assert ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, support).place(1).total_cost == 1 def test_capacity_aware_and_pinned_in_the_new_shape(): @@ -644,9 +648,7 @@ def test_capacity_aware_and_pinned_in_the_new_shape(): (P.WEIGHTED, (0, T.NO_ACTIVE_WEIGHT, 2, [], (0, 2, 2, 0, 2, 0))), (P.EQUAL_BALANCED, (0, T.COMPLETE, 0, [(0, 2)], (0, 2, 2, 0, 0, 2))), # S9 ): - config = ngc.FlowPolicyConfig( - routing=ngc.Pinned([dag_of(g, [0])]), placement=placement, admission=A.LOSSY - ) + config = pinned_route(g, 0, 1, [0], placement=placement, admission=A.LOSSY) r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, config).place(2) assert ( r.placed, diff --git a/tests/py/test_pooled.py b/tests/py/test_pooled.py index f83dfc3..3f87233 100644 --- a/tests/py/test_pooled.py +++ b/tests/py/test_pooled.py @@ -18,6 +18,7 @@ T = ngc.Termination EB = ngc.FlowPlacement.EQUAL_BALANCED W = ngc.FlowPlacement.WEIGHTED +SNAPSHOT = ngc.WeightBasis.RESIDUAL_SNAPSHOT LOSSY = ngc.Admission.LOSSY LOSSLESS = ngc.Admission.LOSSLESS EDGES = ngc.OutputOptions(edge_flows=True) @@ -35,12 +36,13 @@ RC = [(0, 1, 1, 1), (0, 1, 1, 1)] -def cfg(placement=EB, admission=LOSSLESS, selection=None): +def cfg(placement=EB, admission=LOSSLESS, selection=None, weights=None): return ngc.FlowPolicyConfig( routing=ngc.CostOnly(), placement=placement, admission=admission, selection=selection, + weights=weights, ) @@ -179,8 +181,9 @@ def test_residual_weights_on_the_common_view(): # P14: weights read once, on the residual at the first positive call's entry: e2 2, e3 10; # router 2: H(12, [2, 10]) = (2, 10); RR(12) = (6, 6); each member attributed by highest # averages over what the sources still hold: e2 H(2, [6, 6]) = [1, 1], e3 H(10, [5, 5]). - pick = sel(prio=ngc.EdgePriority.RESIDUAL) - _, _, p = policy(SNAP, [0, 1], 3, cfg(W, selection=pick), residual=[10, 10, 2, 10]) + _, _, p = policy( + SNAP, [0, 1], 3, cfg(W, weights=SNAPSHOT), residual=[10, 10, 2, 10] + ) r = p.place(INF) assert (r.placed, [x.delivered for x in r.by_source]) == (12, [6, 6]) assert records(p) == [ @@ -194,11 +197,10 @@ def test_weights_frozen_for_the_epoch(): # after the owner leaves (weights read again would give [6, 6, 6, 6]). g = build(4, SNAP) ledger = ngc.FlowLedger(g) - pinned = ngc.FlowPolicyConfig(routing=ngc.Pinned([dag_of(g, [2])]), placement=EB) - other = ngc.FlowPolicy(ledger, 2, 3, pinned) + holder = ngc.FlowPolicyConfig(routing=ngc.Global(support=dag_of(g, [2]))) + other = ngc.FlowPolicy(ledger, 2, 3, holder) assert other.place(8).placed == 8 - pick = sel(prio=ngc.EdgePriority.RESIDUAL) - p = ngc.FlowPolicy(ledger, [0, 1], 3, cfg(W, selection=pick)) + p = ngc.FlowPolicy(ledger, [0, 1], 3, cfg(W, weights=SNAPSHOT)) assert p.place(2).placed == 2 other.remove() r = p.place(10, EDGES) @@ -331,12 +333,21 @@ def test_random_against_reference(seed): kernel = rng.choice(["EB", "W"]) lossy = rng.random() < 0.5 multipath = rng.random() < 0.7 + # W's weights: the capacities, or the residual snapshot at preparation; the selection's + # priority (drawn independently) never changes them. priority = rng.choice(["CAPACITY", "RESIDUAL"]) if kernel == "W" else "CAPACITY" selection = sel( - prio=getattr(ngc.EdgePriority, priority), + prio=getattr( + ngc.EdgePriority, rng.choice(["CAPACITY", "RESIDUAL", "HEADROOM"]) + ), mp=multipath, ) - config = cfg(EB if kernel == "EB" else W, LOSSY if lossy else LOSSLESS, selection) + config = cfg( + EB if kernel == "EB" else W, + LOSSY if lossy else LOSSLESS, + selection, + weights=SNAPSHOT if priority == "RESIDUAL" else None, + ) ledger = ngc.FlowLedger(g, residual) elig = g.eligibility(excluded_nodes=xn, excluded_edges=xe) p = ngc.FlowPolicy(ledger, sources, dests, config, elig) diff --git a/tests/py/test_programs.py b/tests/py/test_programs.py new file mode 100644 index 0000000..6beccb7 --- /dev/null +++ b/tests/py/test_programs.py @@ -0,0 +1,2067 @@ +"""Forwarding programs (step 3): what every model exports, Global with a support, the weight +bases, ForwardingProgram.from_routes, Pinned over programs, the lossless bound, the loss rule +inside one program (cycles included), replay under a failure mask, stale forwarding with black +holes, the operations evaluate, replace and forward with their epochs and flags, the per-entry +records and the by_tunnel rows. Every expected value is derived by hand from the contract's rules +(the step's ledger, rows named in each test); none is read from a build. The independent +reference of the property tests is program_oracle.py.""" + +from __future__ import annotations + +import pytest +from helpers import INF, exact, full_ledger_state, sweep_python_allocation +from private_hooks import needs_hooks + +import netgraph_core as ngc + +LOSSY = ngc.Admission.LOSSY +LOSSLESS = ngc.Admission.LOSSLESS +EB = ngc.FlowPlacement.EQUAL_BALANCED +W = ngc.FlowPlacement.WEIGHTED +MF = ngc.FlowPlacement.MAX_FLOW +UP = ngc.TunnelStatus.UP +FAILED = ngc.TunnelStatus.FAILED +BLACKHOLED = ngc.TunnelStatus.BLACKHOLED +T = ngc.Termination + + +# ---------------------------------------------------------------- builders + + +def graph(n, rows): + """A Graph from (u, v, capacity[, cost]) rows written in EdgeId order (checked).""" + g = ngc.Graph( + n, + [r[0] for r in rows], + [r[1] for r in rows], + [r[2] for r in rows], + [r[3] if len(r) > 3 else 1 for r in rows], + 1.0, + ) + assert [int(i) for i in g.input_index()] == list(range(len(rows))) + return g + + +def path(g, edges): + return ngc.Path(g, [[e] for e in edges]) + + +def dag(g, edges): + """The PredDAG of a set of EdgeIds.""" + per = [[] for _ in range(g.num_nodes())] + for e in sorted(edges): + per[int(g.edge_dst()[e])].append(e) + offsets, parents, via = [0], [], [] + for v in range(g.num_nodes()): + for e in per[v]: + parents.append(int(g.edge_src()[e])) + via.append(e) + offsets.append(len(via)) + return ngc.PredDAG.from_csr(g, offsets, parents, via) + + +def tunnels(g, sources, destinations, specs, **options): + """A supplied program of tunnels: specs are (head, [edges], weight).""" + routes = [ngc.Route(h, path(g, es), weight=w) for h, es, w in specs] + return ngc.ForwardingProgram.from_routes( + g, sources, destinations, routes, **options + ) + + +def pinned(g, program, admission=LOSSLESS, elig=None, black_holes=None, ledger=None): + cfg = ngc.FlowPolicyConfig( + routing=ngc.Pinned(program, black_holes=black_holes), admission=admission + ) + return ngc.FlowPolicy( + ledger or ngc.FlowLedger(g), + list(program.sources), + list(program.destinations), + cfg, + elig, + ) + + +def cost_only(placement=EB, admission=LOSSLESS, **fields): + return ngc.FlowPolicyConfig( + routing=ngc.CostOnly(), placement=placement, admission=admission, **fields + ) + + +def global_(origin=None, support=None): + return ngc.FlowPolicyConfig(routing=ngc.Global(support=support), origin=origin) + + +def rows(result): + """The by_tunnel rows as (index, head, status, assigned, delivered, dropped).""" + return [ + (t.index, t.head, t.status, t.assigned, t.delivered, t.dropped) + for t in result.by_tunnel + ] + + +def listing(program): + """A program's tunnels as (head, edges, weight).""" + return [(t.head, list(t.edges), t.weight) for t in program.tunnels] + + +def par2(a, b): + return graph(2, [(0, 1, a), (0, 1, b)]) + + +ONE = [(0, 1, 10)] +B1 = [(0, 3, 2), (1, 2, 10), (2, 3, 10, 2)] +B2 = [(0, 1, 4), (0, 2, 2), (1, 2, 10)] +ES = [(0, 1, 10), (0, 2, 10), (1, 3, 2), (2, 3, 10, 2)] +G1U = [(0, 1, 2), (0, 2, 10), (1, 3, 2), (2, 3, 10)] +PINLOSS = [(0, 1, 10), (0, 2, 10), (1, 3, 2), (2, 3, 10)] +DIAM = [(0, 1, 100), (0, 2, 100), (1, 3, 100), (2, 3, 100)] +POOL2 = [(0, 2, 10), (1, 2, 10), (2, 3, 10), (2, 3, 10)] +REL = [(0, 2, 10), (1, 2, 10), (2, 3, 10)] +TUN = [(0, 1, 10), (0, 2, 10), (1, 3, 10), (2, 3, 10)] +MB = [(0, 1, 10), (0, 2, 10), (0, 3, 10), (1, 4, 10), (2, 4, 10), (3, 4, 10)] +SURV = [(0, 3, 3), (1, 3, 1), (2, 3, 5)] +RB = [(0, 2, 5), (1, 2, 5), (1, 2, 5, 2)] +INC = [(0, 2, 1), (1, 2, 3)] +SHARE = [(0, 1, 4), (1, 2, 10), (1, 2, 10)] +HIER = [(0, 2, 1000), (1, 2, 1000), (2, 3, 1)] + + +def cyc(x, y): + """CYC(x, y): tunnel 0 = [e6, e0, e1, e3, e5] meets X (e0) then Y (e3); tunnel 1 = [e7, e3, + e4, e0, e2] meets Y then X.""" + return graph( + 6, + [ + (0, 1, x), + (1, 2, 1000), + (1, 5, 1000), + (2, 3, y), + (3, 0, 1000), + (3, 5, 1000), + (4, 0, 1000), + (4, 2, 1000), + ], + ) + + +CYC_T0 = [6, 0, 1, 3, 5] +CYC_T1 = [7, 3, 4, 0, 2] + + +# ---------------------------------------------------------------- P: exported programs + + +def test_global_export(): + # P1, P2, Z2: B1, Global optimized and equal, place(12). + g = graph(4, B1) + p = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, global_()) + r = p.place(12) + prog = r.program + assert listing(prog) == [(0, [0], 2), (1, [1, 2], 10)] + assert [t.index for t in prog.tunnels] == [0, 1] + assert [t.local_index for t in prog.tunnels] == [0, 0] + assert [t.destination for t in prog.tunnels] == [3, 3] + assert [t.route_cost for t in prog.tunnels] == [1, 3] + assert prog.source_weights == ((0, 2), (1, 10)) + assert prog.sources == (0, 1) and prog.destinations == (3,) + assert [rec.entry for rec in p.records()] == [None, None] + assert rows(r) == [(0, 0, UP, 2, 2, 0), (1, 1, UP, 10, 10, 0)] + assert p.program.tunnels == prog.tunnels or listing(p.program) == listing(prog) + eq = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, global_(ngc.Origin.EQUAL)).place( + 12 + ) + assert eq.placed == 4 + assert listing(eq.program) == [(0, [0], 2), (1, [1, 2], 2)] + assert eq.program.source_weights is None + + +def test_single_source_decomposed(): + # P3: one source is decomposed too (R12); P4: CostOnly MAX_FLOW. + g = graph(4, ES) + r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, global_()).place(12) + assert listing(r.program) == [(0, [0, 2], 2), (0, [1, 3], 10)] + assert [t.local_index for t in r.program.tunnels] == [0, 1] + assert [t.route_cost for t in r.program.tunnels] == [2, 3] + assert r.total_cost == 34 + assert r.program.source_weights == ((0, 12),) + mf = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, cost_only(MF)).place(12) + assert mf.placed == 2 + assert listing(mf.program) == [(0, [0, 2], 2)] + assert mf.program.source_weights == ((0, 2),) + + +def test_cost_only_split_program(): + # P5, Z3: a CostOnly split program lists no tunnel. + g = graph(4, POOL2) + r = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, cost_only()).place(2) + assert r.program.tunnels == () + assert r.program.source_weights is None + assert r.program.sources == (0, 1) and r.program.destinations == (3,) + assert r.by_tunnel == () + + +def test_zero_supply_kept_and_lifecycle(): + # P7: every roster source has a source weight, zero included (R20). + g = graph(3, [(0, 2, 5), (1, 2, 5)]) + r = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, global_()).place(1) + assert listing(r.program) == [(0, [0], 1)] + assert r.program.source_weights == ((0, 1), (1, 0)) + # P8, O15, Z4: none before the first positive call and after remove(). + p = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, global_()) + assert p.program is None + z = p.place(0) + assert z.program is None and z.by_tunnel == () + p.place(3) + assert p.program is not None + p.remove() + assert p.program is None and p.place(0).program is None + # P9: today's CapacityAware has no program (O1). + ca = ngc.FlowPolicy( + ngc.FlowLedger(graph(2, ONE)), + 0, + 1, + ngc.FlowPolicyConfig(routing=ngc.CapacityAware(), placement=EB), + ) + r = ca.place(5) + assert r.placed == 5 and r.program is None and ca.program is None + + +def test_replay_reproduces_the_solve_and_keeps_the_mask(): + # P10: B1's optimized program forwarded by Pinned reproduces the solve. + g = graph(4, B1) + prog = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, global_()).place(12).program + p = pinned(g, prog) + r = p.place(12, ngc.OutputOptions(edge_flows=True)) + assert (r.placed, r.termination) == (12, T.COMPLETE) + assert r.edge_flows.tolist() == [2, 10, 10] + assert pinned(g, prog).place(INF).placed == 12 + # P6: the policy's program is the configured one. + assert listing(p.program) == listing(prog) and listing(r.program) == listing(prog) + # P11: the producer's mask is saved: no replay brings source 1 back. + masked = ngc.FlowPolicy( + ngc.FlowLedger(g), [0, 1], 3, global_(), g.eligibility(excluded_nodes=[1]) + ).place(12) + assert masked.placed == 2 and listing(masked.program) == [(0, [0], 2)] + lossy = pinned(g, masked.program, LOSSY).replace(12) + assert lossy.placed == 2 and [row.offered for row in lossy.by_source] == [12, 0] + + +def test_empty_roster_program(): + # P12: an empty roster installs an empty program (R22). + g = graph(2, ONE) + p = ngc.FlowPolicy( + ngc.FlowLedger(g), 0, 1, cost_only(), g.eligibility(excluded_nodes=[0]) + ) + r = p.place(1) + assert r.termination == T.NO_ROUTE + assert r.program is not None and r.program.tunnels == () + assert r.program.sources == (0,) and not r.routes_changed and not r.weights_changed + + +# ---------------------------------------------------------------- G: Global with a support + + +def test_global_support(): + # GS1, GS2: only the trimmed support carries traffic. + g = graph(4, ES) + r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, global_(support=dag(g, [1, 3]))).place( + 12, ngc.OutputOptions(min_cut=True) + ) + assert (r.placed, r.total_cost) == (10, 30) + assert r.min_cut is None and r.cost_distribution is None + assert listing(r.program) == [(0, [1, 3], 10)] + assert ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, global_()).place(12).placed == 12 + r2 = ngc.FlowPolicy( + ngc.FlowLedger(g), 0, 3, global_(support=dag(g, [0, 1, 3])) + ).place(12, ngc.OutputOptions(edge_flows=True)) + assert r2.placed == 10 and r2.edge_flows.tolist() == [0, 10, 0, 10] + # GS3: the mask removes the support: an empty roster. + r3 = ngc.FlowPolicy( + ngc.FlowLedger(g), + 0, + 3, + global_(support=dag(g, [1, 3])), + g.eligibility(excluded_edges=[3]), + ).place(12) + assert (r3.termination, r3.placed, r3.program.tunnels) == (T.NO_ROUTE, 0, ()) + # GS4: the equal origin on a support. + b2 = graph(3, B2) + r4 = ngc.FlowPolicy( + ngc.FlowLedger(b2), [0, 1], 2, global_(ngc.Origin.EQUAL, dag(b2, [1, 2])) + ).place(12) + assert (r4.placed, r4.total_cost) == (4, 4) + + +def test_global_support_wide_cost_and_ownership(): + # GS6, Z6: total_cost above 2^64. + g = graph(2, [(0, 1, 1 << 40, 1 << 30)]) + r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, global_(support=dag(g, [0]))).place( + 1 << 40 + ) + assert r.total_cost == 1 << 70 + # GS7: a support of another graph. + other = graph(2, [(0, 1, 1)]) + with pytest.raises(ValueError, match=exact("support belongs to another graph")): + ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, global_(support=dag(other, [0]))) + + +# ---------------------------------------------------------------- W: weight bases + + +def test_explicit_weights(): + # W1, W12: E-configured. + g = par2(10, 10) + cfg = cost_only(W, LOSSY, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[1, 2]) + r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg).place( + 12, ngc.OutputOptions(edge_flows=True) + ) + assert r.edge_flows.tolist() == [4, 8] + cap = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cost_only(W, LOSSY)).place( + 12, ngc.OutputOptions(edge_flows=True) + ) + assert cap.edge_flows.tolist() == [6, 6] + ll = cost_only(W, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[1, 2]) + assert ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, ll).place(INF).placed == 15 + assert ngc.capacity(g, 0, 1, ngc.QueryOptions(ll)).placed == 15 + # W4: a positive weight on an edge of capacity 0 becomes 0. + z = par2(0, 10) + cfg = cost_only(W, LOSSY, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[5, 1]) + r = ngc.FlowPolicy(ngc.FlowLedger(z), 0, 1, cfg).place(7) + assert (r.placed, r.call_drops) == (7, []) + # W5: a zero weight prunes. + cfg = cost_only(W, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[0, 3]) + assert ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg).place(12).placed == 10 + cfg = cost_only(W, LOSSY, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[0, 3]) + r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg).place(12) + assert (r.placed, r.call_drops) == (10, [(1, 2)]) + # W6: every weight 0. + for adm, loss in ((LOSSY, 5), (LOSSLESS, 0)): + cfg = cost_only(W, adm, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[0, 0]) + r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg).place(5) + assert (r.termination, r.placed, r.source_loss) == (T.NO_ACTIVE_WEIGHT, 0, loss) + + +def test_snapshot_weights(): + # W2, W3, W8: E-snapshot, the priority is no weight, the snapshot is frozen. + g = par2(10, 10) + + def policy(admission, **fields): + ledger = ngc.FlowLedger(g, [2, 10]) + return ngc.FlowPolicy(ledger, 0, 1, cost_only(W, admission, **fields)) + + assert policy(LOSSLESS).place(12).placed == 4 + snap = ngc.WeightBasis.RESIDUAL_SNAPSHOT + assert policy(LOSSLESS, weights=snap).place(12).placed == 12 + prio = ngc.PathSelection(priority=ngc.EdgePriority.RESIDUAL) + assert policy(LOSSLESS, selection=prio).place(12).placed == 4 + p = policy(LOSSY, weights=snap) + r1 = p.place(12, ngc.OutputOptions(edge_flows=True)) + assert r1.edge_flows.tolist() == [2, 10] + r2 = p.place(6) + assert (r2.placed, r2.call_drops, r2.call_source_loss) == (0, [(0, 1), (1, 5)], 0) + # W7: Weighted with the Headroom priority is accepted (CostOnly). + sel = ngc.PathSelection( + ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, ngc.EdgePriority.HEADROOM, False + ) + assert policy(LOSSLESS, selection=sel).place(12).placed == 10 + + +def test_weight_texts(): + # W9, W10. + g = par2(10, 10) + ledger = ngc.FlowLedger(g) + cases = [ + ( + cost_only(weights=ngc.WeightBasis.CAPACITY), + "weights require CostOnly placement=WEIGHTED", + ), + (cost_only(edge_weights=[1, 1]), "edge_weights require weights=EXPLICIT"), + ( + cost_only(W, weights=ngc.WeightBasis.EXPLICIT), + "weights=EXPLICIT requires edge_weights", + ), + ( + cost_only(W, weights=ngc.WeightBasis.CAPACITY, edge_weights=[1, 1]), + "edge_weights require weights=EXPLICIT", + ), + ( + ngc.FlowPolicyConfig( + routing=ngc.Global(), weights=ngc.WeightBasis.CAPACITY + ), + "Global does not accept weights", + ), + ( + ngc.FlowPolicyConfig( + routing=ngc.CapacityAware(), + placement=EB, + weights=ngc.WeightBasis.CAPACITY, + ), + "T1 does not accept weights", + ), + ( + cost_only(W, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[1, 2, 3]), + "edge_weights: expected 2 entries", + ), + ( + cost_only(W, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[1, 1 << 62]), + "edge_weights[1] must be an integer in [0, 2^62)", + ), + ( + cost_only(W, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[-1, 1]), + "edge_weights[0] must be an integer in [0, 2^62)", + ), + ] + for cfg, text in cases: + with pytest.raises(ValueError, match=exact(text)): + ngc.FlowPolicy(ledger, 0, 1, cfg) + prog = tunnels(g, [0], [1], [(0, [0], 1)]) + with pytest.raises(ValueError, match=exact("Pinned does not accept weights")): + ngc.FlowPolicy( + ledger, + 0, + 1, + ngc.FlowPolicyConfig( + routing=ngc.Pinned(prog), weights=ngc.WeightBasis.CAPACITY + ), + ) + with pytest.raises(ValueError): + cost_only(W, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[True, 1]) + cfg = cost_only(W, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[1, 2]) + assert cfg.edge_weights == (1, 2) + + +# ---------------------------------------------------------------- F: from_routes + + +def test_from_routes_texts(): + # F1 to F22. + g = par2(4, 8) + p0 = path(g, [0]) + d01 = dag(g, [0, 1]) + fr = ngc.ForwardingProgram.from_routes + + def raises(text, *args, **kwargs): + with pytest.raises(ValueError, match=exact(text)): + fr(g, *args, **kwargs) + + raises("sources: the node set is empty", [], [1], [ngc.Route(0, p0)]) + raises( + "node 0 is in both endpoint sets: sources and destinations must not overlap", + [0], + [0], + [ngc.Route(0, p0)], + ) + raises("routes must not be empty", [0], [1], []) + raises( + "placement applies only to PredDAG routes", + [0], + [1], + [ngc.Route(0, p0)], + placement=EB, + ) + raises( + "weights applies only to PredDAG routes", + [0], + [1], + [ngc.Route(0, p0)], + weights=ngc.WeightBasis.CAPACITY, + ) + raises( + "edge_weights applies only to PredDAG routes", + [0], + [1], + [ngc.Route(0, p0)], + edge_weights=[1, 1], + ) + raises( + "residual applies only to PredDAG routes", + [0], + [1], + [ngc.Route(0, p0)], + residual=[1, 1], + ) + dagr = [ngc.Route(0, d01)] + raises( + "from_routes placement must be EQUAL_BALANCED or WEIGHTED", + [0], + [1], + dagr, + placement=MF, + ) + raises( + "weights require placement=WEIGHTED", + [0], + [1], + dagr, + weights=ngc.WeightBasis.CAPACITY, + ) + raises( + "weights=EXPLICIT requires edge_weights", + [0], + [1], + dagr, + placement=W, + weights=ngc.WeightBasis.EXPLICIT, + ) + raises( + "edge_weights require weights=EXPLICIT", + [0], + [1], + dagr, + placement=W, + edge_weights=[1, 1], + ) + raises( + "weights=RESIDUAL_SNAPSHOT requires residual", + [0], + [1], + dagr, + placement=W, + weights=ngc.WeightBasis.RESIDUAL_SNAPSHOT, + ) + raises( + "residual requires weights=RESIDUAL_SNAPSHOT", + [0], + [1], + dagr, + placement=W, + residual=[4, 8], + ) + raises( + "edge_weights: expected 2 entries", + [0], + [1], + dagr, + placement=W, + weights=ngc.WeightBasis.EXPLICIT, + edge_weights=[1], + ) + raises( + "edge_weights[1] must be an integer in [0, 2^62)", + [0], + [1], + dagr, + placement=W, + weights=ngc.WeightBasis.EXPLICIT, + edge_weights=[1, 1 << 62], + ) + raises( + "residual[0] = 5 is outside [0, capacity_units[0] = 4]", + [0], + [1], + dagr, + placement=W, + weights=ngc.WeightBasis.RESIDUAL_SNAPSHOT, + residual=[5, 8], + ) + other = par2(4, 8) + raises( + "routes[0]: bundle belongs to another graph", + [0], + [1], + [ngc.Route(0, path(other, [0]))], + ) + raises("routes[0]: head 1 is not a source", [0], [1], [ngc.Route(1, p0)]) + hop2 = ngc.Path(g, [[0, 1]]) + raises("routes[0]: a tunnel has one edge per hop", [0], [1], [ngc.Route(0, hop2)]) + d = graph(4, DIAM) + fd = ngc.ForwardingProgram.from_routes + with pytest.raises( + ValueError, match=exact("routes[0]: the path starts at 0, not at head 1") + ): + fd(d, [0, 1], [3], [ngc.Route(1, path(d, [0, 2]))]) + with pytest.raises( + ValueError, match=exact("routes[0]: the path ends at 1, not at a destination") + ): + fd(d, [0], [3], [ngc.Route(0, path(d, [0]))]) + with pytest.raises( + ValueError, + match=exact("routes[0]: the path meets destination 1 before its end"), + ): + fd(d, [0], [1, 3], [ngc.Route(0, path(d, [0, 2]))]) + with pytest.raises( + ValueError, match=exact("routes[0]: no walk from head 0 to a destination") + ): + fd(d, [0], [3], [ngc.Route(0, dag(d, [2]))]) + for weight in (1 << 62, -1): + raises( + "routes[0]: weight must be an integer in [0, 2^62)", + [0], + [1], + [ngc.Route(0, p0, weight=weight)], + ) + with pytest.raises(ValueError): + ngc.Route(0, p0, weight=True) + # F23: the routes in list order, each route's checks in order. + raises( + "routes[0]: weight must be an integer in [0, 2^62)", + [0], + [1], + [ngc.Route(0, p0, weight=1 << 62), ngc.Route(5, p0)], + ) + + +def test_from_routes_entries(): + # F24, F25, F26. + g = par2(4, 8) + prog = ngc.ForwardingProgram.from_routes( + g, [0], [1], [ngc.Route(0, path(g, [0]), weight=0), ngc.Route(0, path(g, [1]))] + ) + assert [(t.index, t.weight) for t in prog.tunnels] == [(0, 0), (1, 1)] + mixed = ngc.ForwardingProgram.from_routes( + g, + [0], + [1], + [ + ngc.Route(0, path(g, [1])), + ngc.Route(0, dag(g, [0, 1])), + ngc.Route(0, path(g, [0])), + ], + ) + assert [(t.index, t.local_index) for t in mixed.tunnels] == [(0, 0), (2, 2)] + d = graph(4, DIAM) + norm = ngc.ForwardingProgram.from_routes( + d, [1, 0, 1], [3], [ngc.Route(0, path(d, [0, 2]))] + ) + assert norm.sources == (0, 1) + with pytest.raises(TypeError): + ngc.ForwardingProgram.from_routes(g, [0], [1], [path(g, [0])]) + + +# ---------------------------------------------------------------- C: Pinned's configuration + + +def test_pinned_texts(): + # C1 to C5, C7, C8. + g = par2(4, 8) + prog = tunnels(g, [0], [1], [(0, [0], 1)]) + ledger = ngc.FlowLedger(g) + fields = [ + ({"placement": EB}, "Pinned does not accept placement"), + ({"origin": ngc.Origin.EQUAL}, "Pinned does not accept origin"), + ({"selection": ngc.PathSelection()}, "Pinned does not accept selection"), + ({"weights": ngc.WeightBasis.CAPACITY}, "Pinned does not accept weights"), + ({"edge_weights": [1, 1]}, "Pinned does not accept edge_weights"), + ] + for kw, text in fields: + cfg = ngc.FlowPolicyConfig(routing=ngc.Pinned(prog), **kw) + with pytest.raises(ValueError, match=exact(text)): + ngc.FlowPolicy(ledger, 0, 1, cfg) + three = graph(3, [(0, 1, 1), (0, 2, 1)]) + p3 = tunnels(three, [0], [1], [(0, [0], 1)]) + with pytest.raises( + ValueError, match=exact("program endpoints do not match policy endpoints") + ): + ngc.FlowPolicy( + ngc.FlowLedger(three), + 0, + [1, 2], + ngc.FlowPolicyConfig(routing=ngc.Pinned(p3)), + ) + foreign = tunnels(par2(4, 8), [0], [1], [(0, [0], 1)]) + for kw in ({}, {"placement": EB}): + cfg = ngc.FlowPolicyConfig(routing=ngc.Pinned(foreign), **kw) + with pytest.raises(ValueError, match=exact("program belongs to another graph")): + ngc.FlowPolicy(ledger, 0, 1, cfg) + other = par2(4, 8) + cfg = ngc.FlowPolicyConfig( + routing=ngc.Pinned(prog, black_holes=other.eligibility(excluded_edges=[0])) + ) + with pytest.raises(ValueError, match=exact("black_holes belongs to another graph")): + ngc.FlowPolicy(ledger, 0, 1, cfg) + with pytest.raises( + ValueError, match=exact("foreign Eligibility: built for another graph") + ): + ngc.FlowPolicy( + ledger, + 0, + 1, + ngc.FlowPolicyConfig(routing=ngc.Pinned(prog)), + other.eligibility(excluded_edges=[0]), + ) + with pytest.raises(ValueError, match=exact("sources: the node set is empty")): + ngc.FlowPolicy(ledger, [], 1, ngc.FlowPolicyConfig(routing=ngc.Pinned(foreign))) + with pytest.raises(TypeError): + ngc.Pinned(bundles=[dag(g, [0])]) + with pytest.raises(TypeError): + ngc.Pinned([dag(g, [0])]) + with pytest.raises(TypeError): + ngc.Pinned(None) + # C8: several sources and destinations. + d = graph(4, REL) + many = tunnels(d, [0, 1], [3], [(0, [0, 2], 1), (1, [1, 2], 1)]) + assert pinned(d, many).place(INF).placed == 10 + + +# ---------------------------------------------------------------- L: lossless bounds + + +def bound(g, specs, sources=(0,), destinations=(1,)): + return ( + pinned(g, tunnels(g, list(sources), list(destinations), specs)) + .place(INF) + .placed + ) + + +def test_e_examples(): + # L1 to L7: E-duplicates, E-deduplicated, E-static-path-fill, E-zero-first, E-zero-last, + # E-support-pinned-bound, weighted tunnels. + assert bound(par2(4, 8), [(0, [0], 1), (0, [1], 1), (0, [1], 1)]) == 12 + assert bound(par2(4, 8), [(0, [0], 1), (0, [1], 1)]) == 8 + assert bound(par2(6, 4), [(0, [0], 1), (0, [1], 1)]) == 9 + assert bound(par2(0, 4), [(0, [0], 1), (0, [1], 1)]) == 0 + assert bound(par2(4, 0), [(0, [0], 1), (0, [1], 1)]) == 1 + assert bound(graph(4, PINLOSS), [(0, [0, 2], 1), (0, [1, 3], 1)], (0,), (3,)) == 4 + assert bound(par2(10, 10), [(0, [0], 1), (0, [1], 2)]) == 15 + + +def test_duplicates_and_zero_weight_records(): + # L1, D2: three records, entries 0, 1, 2; L8, D3: a weight-0 tunnel's record exists. + g = par2(4, 8) + p = pinned(g, tunnels(g, [0], [1], [(0, [0], 1), (0, [1], 1), (0, [1], 1)])) + r = p.place(12) + recs = p.records() + assert [rec.entry for rec in recs] == [0, 1, 2] + assert [rec.delivered for rec in recs] == [4, 4, 4] + assert len({rec.flow_id for rec in recs}) == 3 + assert rows(r) == [(i, 0, UP, 4, 4, 0) for i in range(3)] + z = pinned(g, tunnels(g, [0], [1], [(0, [0], 0), (0, [1], 1)])) + r = z.place(INF) + assert r.placed == 8 + assert [(rec.entry, rec.delivered) for rec in z.records()] == [(0, 0), (1, 8)] + + +def test_increments(): + # L9, L10: INC-lossless, INC-lossy. + g = graph(3, INC) + prog = tunnels(g, [0, 1], [2], [(0, [0], 1), (1, [1], 1)]) + p = pinned(g, prog) + assert [p.place(3).placed, p.place(1).placed] == [2, 0] + q = pinned(g, prog, LOSSY) + r1 = q.place(3) + assert (r1.placed, r1.call_drops) == (2, [(0, 1)]) + assert q.place(1).placed == 1 + # L11: INC-lossless-refusal. + one = graph(2, ONE) + ledger = ngc.FlowLedger(one) + other = ngc.FlowPolicy(ledger, 0, 1, cost_only()) + other.place(8) + p = pinned(one, tunnels(one, [0], [1], [(0, [0], 1)]), ledger=ledger) + assert p.place(5).placed == 2 + other.remove() + other.place(5) + assert p.place(1).placed == 1 + + +def test_infinite_and_mixed(): + # L12, L13, L14. + g = par2(6, 4) + prog = tunnels(g, [0], [1], [(0, [0], 1), (0, [1], 1)]) + r = pinned(g, prog).place(INF) + assert (r.placed, r.termination, r.remaining) == (9, T.EXHAUSTED, INF) + with pytest.raises( + ValueError, match=exact("LOSSY forwarding requires a finite offer") + ): + pinned(g, prog, LOSSY).place(INF) + h = par2(4, 8) + mixed = ngc.ForwardingProgram.from_routes( + h, [0], [1], [ngc.Route(0, path(h, [0])), ngc.Route(0, dag(h, [1]))] + ) + p = pinned(h, mixed) + assert p.place(INF).placed == 8 + assert [(rec.entry, rec.delivered) for rec in p.records()] == [(0, 4), (1, 4)] + + +def test_split_contexts(): + # L15: E-split-contexts and E-split-contexts-pooled. + g = par2(1, 1) + d = dag(g, [0, 1]) + prog = ngc.ForwardingProgram.from_routes( + g, [0], [1], [ngc.Route(0, d), ngc.Route(0, d)] + ) + assert pinned(g, prog).place(INF).placed == 1 + r = pinned(g, prog, LOSSY).replace(2, outputs=ngc.OutputOptions(edge_flows=True)) + assert r.call_drops == [(0, 1)] + pooled = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cost_only()) + r = pooled.place(INF, ngc.OutputOptions(edge_flows=True)) + assert (r.placed, r.edge_flows.tolist()) == (2, [1, 1]) + + +# ---------------------------------------------------------------- Y: losses inside one program + + +def lossy_rows(g, sources, destinations, specs, offer, **kw): + r = pinned(g, tunnels(g, sources, destinations, specs), LOSSY, **kw).replace(offer) + return r, [(t.assigned, t.delivered, t.dropped) for t in r.by_tunnel] + + +def test_loss_rule(): + one9 = graph(2, [(0, 1, 9)]) + r, got = lossy_rows(one9, [0], [1], [(0, [0], 2), (0, [0], 1)], 12) + assert got == [(8, 6, 2), (4, 3, 1)] # Y1 D-merge + one1 = graph(2, [(0, 1, 1)]) + _, got = lossy_rows(one1, [0], [1], [(0, [0], 1), (0, [0], 1)], 2) + assert got == [(1, 1, 0), (1, 0, 1)] # Y2 D-key-tie + one3 = graph(2, [(0, 1, 3)]) + _, got = lossy_rows(one3, [0], [1], [(0, [0], 5), (0, [0], 1), (0, [0], 1)], 7) + assert got == [(5, 3, 2), (1, 0, 1), (1, 0, 1)] # Y3 D-rounding + hier = graph(4, HIER) + _, got = lossy_rows( + hier, [0, 1], [3], [(0, [0, 2], 1), (0, [0, 2], 1), (1, [1, 2], 1)], 4 + ) + assert [d for _, d, _ in got] == [1, 0, 0] # Y4 D-hierarchy + zero = graph(2, [(0, 1, 0)]) + r, got = lossy_rows(zero, [0], [1], [(0, [0], 1)], 2) + assert got == [(2, 0, 2)] and r.call_drops == [(0, 2)] # Y5 D-zero-service + r, got = lossy_rows( + graph(4, PINLOSS), [0], [3], [(0, [0, 2], 1), (0, [1, 3], 1)], 12 + ) + assert got == [(6, 2, 4), (6, 6, 0)] and r.call_drops == [(2, 4)] # Y8, Z1 + + +def test_subdivision(): + # Y6, Y7: D-subdivision-before/-after: a gate of 1, then three own links of 1. + before = graph( + 6, [(0, 1, 1), (1, 2, 1), (1, 3, 1), (1, 4, 1), (2, 5, 1), (3, 5, 1), (4, 5, 1)] + ) + _, got = lossy_rows( + before, + [0], + [5], + [(0, [0, 1, 4], 1), (0, [0, 2, 5], 1), (0, [0, 3, 6], 1)], + 3, + ) + assert [d for _, d, _ in got] == [1, 0, 0] + after = graph( + 7, + [ + (0, 1, 1), + (1, 2, 1), + (1, 3, 1), + (1, 4, 1), + (2, 6, 1), + (3, 5, 1), + (4, 5, 1), + (6, 5, 1), + ], + ) + _, got = lossy_rows( + after, + [0], + [5], + [(0, [0, 1, 4, 7], 1), (0, [0, 2, 5], 1), (0, [0, 3, 6], 1)], + 3, + ) + assert [d for _, d, _ in got] == [1, 0, 0] + + +def test_cycles(): + # Y9: D-cycle-compressed analogue: no link can drop. + g = cyc(2, 2) + _, got = lossy_rows(g, [4], [5], [(4, CYC_T0, 1), (4, CYC_T1, 1)], 2) + assert [d for _, d, _ in got] == [1, 1] + # Y10: the rounds from zero settle at round 3. + g = cyc(1, 1) + r, got = lossy_rows(g, [4], [5], [(4, CYC_T0, 1), (4, CYC_T1, 1)], 2) + assert got == [(1, 1, 0), (1, 0, 1)] and r.call_drops == [(3, 1)] + # Y11: period two. + g = cyc(1, 2) + ledger = ngc.FlowLedger(g) + p = pinned( + g, tunnels(g, [4], [5], [(4, CYC_T0, 1), (4, CYC_T1, 2)]), LOSSY, ledger=ledger + ) + before = (ledger.residual().tolist(), len(p.records())) + with pytest.raises( + ValueError, match=exact("lossy forwarding iteration entered a period-2 cycle") + ): + p.replace(3) + assert ( + ledger.residual().tolist(), + len(p.records()), + ) == before and p.program is None + # Y12: the round limit (64 * 3 rounds for three barriers). + lim = graph( + 8, + [ + (0, 1, 1), + (1, 4, 1000), + (2, 3, 2), + (3, 0, 1000), + (3, 7, 1000), + (4, 5, 1), + (5, 2, 1000), + (5, 7, 1000), + (6, 0, 1000), + (6, 2, 1000), + ], + ) + prog = tunnels( + lim, [6], [7], [(6, [8, 0, 1, 5, 6, 2, 4], 2), (6, [9, 2, 3, 0, 1, 5, 7], 3)] + ) + with pytest.raises( + ValueError, + match=exact( + "lossy forwarding iteration did not reach a fixed point within the round limit" + ), + ): + pinned(lim, prog, LOSSY).replace(3) + + +def test_cycle_subdivision(): + # Y13, Y14: CYCS: Y split in two in series (e3: 2 -> 6, e8: 6 -> 3). + def cycs(x, y, z): + return graph( + 7, + [ + (0, 1, x), + (1, 2, 1000), + (1, 5, 1000), + (2, 6, y), + (3, 0, 1000), + (3, 5, 1000), + (4, 0, 1000), + (4, 2, 1000), + (6, 3, z), + ], + ) + + t0, t1 = [6, 0, 1, 3, 8, 5], [7, 3, 8, 4, 0, 2] + r, got = lossy_rows(cycs(1, 1, 1), [4], [5], [(4, t0, 1), (4, t1, 1)], 2) + assert got == [(1, 1, 0), (1, 0, 1)] and r.call_drops == [(3, 1)] + g = cycs(1, 2, 2) + with pytest.raises( + ValueError, match=exact("lossy forwarding iteration entered a period-2 cycle") + ): + pinned(g, tunnels(g, [4], [5], [(4, t0, 1), (4, t1, 2)]), LOSSY).replace(3) + + +# ---------------------------------------------------------------- R: replay under a mask + + +def test_replay(): + # R1, R5, D4: a Global program replayed with its first path failed. + g = graph(4, G1U) + prog = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, global_()).replace(12).program + assert listing(prog) == [(0, [0, 2], 2), (0, [1, 3], 10)] + fail = g.eligibility(excluded_edges=[2]) + p = pinned(g, prog, LOSSY, fail) + r = p.replace(12) + assert (r.placed, rows(r)) == (10, [(0, 0, FAILED, 0, 0, 0), (1, 0, UP, 12, 10, 2)]) + recs = p.records() + assert recs[0].route_cost is None and recs[0].bundle.via_edges().tolist() == [] + assert pinned(g, prog, LOSSLESS, fail).place(INF).placed == 10 + zero = ngc.FlowLedger(g, [2, 0, 2, 10]) + r = pinned(g, prog, LOSSY, ledger=zero).replace(12) + assert r.placed == 2 and [t.status for t in r.by_tunnel] == [UP, UP] + # R2: E-source-survivor. + s = graph(4, SURV) + surv = ngc.FlowPolicy(ngc.FlowLedger(s), [0, 1, 2], 3, global_()).place(9).program + assert surv.source_weights == ((0, 3), (1, 1), (2, 5)) + q = pinned(s, surv, LOSSY, s.eligibility(excluded_nodes=[2])) + r = q.replace(16) + assert r.placed == 4 and [row.offered for row in r.by_source] == [12, 4, 0] + assert ( + pinned(s, surv, LOSSLESS, s.eligibility(excluded_nodes=[2])).place(INF).placed + == 4 + ) + + +def test_replay_basis(): + # R3: the topology basis keeps head 1; R4: the supplied basis drops it. + g = graph(3, RB) + prog = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, global_()).place(10).program + assert listing(prog) == [(0, [0], 5), (1, [1], 5)] + mask = g.eligibility(excluded_edges=[1]) + r = pinned(g, prog, LOSSY, mask).replace(10) + assert (r.placed, r.source_loss) == (5, 5) + assert pinned(g, prog, LOSSLESS, mask).place(INF).placed == 1 + sup = tunnels(g, [0, 1], [2], [(0, [0], 1), (1, [1], 1)]) + r = pinned(g, sup, LOSSY, mask).replace(10) + assert (r.placed, r.call_drops) == (5, [(0, 5)]) + assert pinned(g, sup, LOSSLESS, mask).place(INF).placed == 5 + # R6: every remaining weight 0. + z = graph(3, [(0, 2, 5), (1, 2, 5)]) + zp = ngc.FlowPolicy(ngc.FlowLedger(z), [0, 1], 2, global_()).place(1).program + m = z.eligibility(excluded_nodes=[0]) + r = pinned(z, zp, LOSSY, m).replace(4) + assert (r.termination, r.source_loss, r.placed) == (T.NO_ACTIVE_WEIGHT, 4, 0) + r = pinned(z, zp, LOSSLESS, m).replace(4) + assert (r.termination, r.placed) == (T.NO_ACTIVE_WEIGHT, 0) + + +def test_replay_split_routes(): + # R7: STALE-remote-tail-repair; R8: STALE-tunnel-node-repair; R9: frozen weights. + g = graph(4, DIAM) + prog = ( + ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, cost_only(admission=LOSSY)) + .place(1) + .program + ) + r = pinned(g, prog, LOSSY, g.eligibility(excluded_edges=[3])).replace(100) + assert r.placed == 100 + t = graph(4, TUN) + tp = tunnels(t, [0], [3], [(0, [0, 2], 1), (0, [1, 3], 1)]) + m = t.eligibility(excluded_nodes=[2]) + r = pinned(t, tp, LOSSY, m).replace(10) + assert [s.status for s in r.by_tunnel] == [UP, FAILED] and r.placed == 10 + assert [s.assigned for s in r.by_tunnel] == [10, 0] + assert pinned(t, tp, LOSSLESS, m).place(INF).placed == 10 + z = par2(0, 10) + wp = ngc.FlowPolicy(ngc.FlowLedger(z), 0, 1, cost_only(W, LOSSY)).place(1).program + fresh = par2(10, 10) + r = pinned(z, wp, LOSSY, ledger=ngc.FlowLedger(z)).replace(5) + assert (r.placed, r.call_drops) == (5, []) + del fresh + + +# ---------------------------------------------------------------- S: stale forwarding + + +def test_stale_examples(): + g = graph(4, DIAM) + p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, cost_only(admission=LOSSY)) + p.replace(100) + installed = p.program + r = p.forward(100, black_holes=g.eligibility(excluded_edges=[3])) + assert (r.placed, r.call_drops) == (50, [(3, 50)]) # S1 STALE-remote-tail + assert p.program is installed and not r.routes_changed and not r.weights_changed + assert p.replace(100).placed == 100 + w = graph(2, [(0, 1, 10), (0, 1, 40)]) + q = ngc.FlowPolicy(ngc.FlowLedger(w), 0, 1, cost_only(W, LOSSY)) + q.replace(40) + r = q.forward(40, black_holes=w.eligibility(excluded_edges=[0])) + assert (r.placed, r.call_drops) == (32, [(0, 8)]) # S2 STALE-wcmp-member + wz = graph(2, [(0, 1, 0), (0, 1, 40)]) + q = ngc.FlowPolicy(ngc.FlowLedger(wz), 0, 1, cost_only(W, LOSSY)) + q.replace(1) + assert q.forward(40).placed == 40 # S3 STALE-wcmp-zero-capacity + rel = graph(4, REL) + prog = tunnels(rel, [0, 1], [3], [(0, [0, 2], 1), (1, [1, 2], 1)]) + r = pinned(rel, prog, LOSSY).replace(20) + assert [t.delivered for t in r.by_tunnel] == [5, 5] # S4 STALE-relief-original + r = pinned( + rel, prog, LOSSY, black_holes=rel.eligibility(excluded_edges=[0]) + ).replace(20) + assert rows(r) == [ + (0, 0, BLACKHOLED, 10, 0, 10), + (1, 1, UP, 10, 10, 0), + ] # S5 STALE-relief + + +def test_stale_tunnels_and_pools(): + t = graph(4, TUN) + tp = tunnels(t, [0], [3], [(0, [0, 2], 1), (0, [1, 3], 1)]) + bh = t.eligibility(excluded_nodes=[2]) + r = pinned(t, tp, LOSSY, black_holes=bh).replace(10) + assert rows(r) == [(0, 0, UP, 5, 5, 0), (1, 0, BLACKHOLED, 5, 0, 5)] # S6 + assert r.call_drops == [(1, 5)] + assert pinned(t, tp, LOSSLESS, black_holes=bh).replace(10).placed == 1 + pool = graph(4, POOL2) + p = ngc.FlowPolicy(ngc.FlowLedger(pool), [0, 1], 3, cost_only(admission=LOSSY)) + p.replace(0) + r = p.forward(2, outputs=ngc.OutputOptions(edge_flows=True)) + assert (r.placed, r.edge_flows.tolist()) == (2, [1, 1, 1, 1]) # S7 + r = p.forward(2, black_holes=pool.eligibility(excluded_edges=[0, 3])) + assert (r.placed, r.call_drops) == (1, [(0, 1)]) # S8 STALE-pooled-remainder + zero = graph(2, [(0, 1, 0)]) + q = ngc.FlowPolicy(ngc.FlowLedger(zero), 0, 1, cost_only(W, LOSSY)) + q.replace(0) + r = q.forward(2) + assert (r.source_loss, r.termination) == (2, T.NO_ACTIVE_WEIGHT) # S9 + one = graph(2, ONE) + q = ngc.FlowPolicy(ngc.FlowLedger(one), 0, 1, cost_only(admission=LOSSY)) + q.replace(0) + r = q.forward(10, black_holes=one.eligibility(excluded_nodes=[0])) + assert (r.source_loss, r.call_drops, r.placed) == (10, [], 0) # S10 + op = tunnels(one, [0], [1], [(0, [0], 1)]) + r = pinned(one, op, LOSSY, black_holes=one.eligibility(excluded_nodes=[0])).replace( + 10 + ) + assert rows(r) == [(0, 0, BLACKHOLED, 0, 0, 0)] and r.source_loss == 10 # S11 + + +def test_stale_with_mask_and_global(): + m = graph(5, MB) + mp = tunnels(m, [0], [4], [(0, [0, 3], 1), (0, [1, 4], 1), (0, [2, 5], 1)]) + r = pinned( + m, + mp, + LOSSY, + m.eligibility(excluded_edges=[3]), + m.eligibility(excluded_edges=[3, 4]), + ).replace(10) + assert rows(r) == [ + (0, 0, FAILED, 0, 0, 0), + (1, 0, BLACKHOLED, 5, 0, 5), + (2, 0, UP, 5, 5, 0), + ] # S12 + g = graph(4, G1U) + prog = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, global_()).replace(12).program + bh = g.eligibility(excluded_edges=[2]) + r = pinned(g, prog, LOSSY, black_holes=bh).replace(12) + assert rows(r) == [(0, 0, BLACKHOLED, 2, 0, 2), (1, 0, UP, 10, 10, 0)] # S13 + assert pinned(g, prog, LOSSLESS, black_holes=bh).replace(12).placed == 4 + allowed = g.eligibility() + assert rows(pinned(g, prog, LOSSY, black_holes=allowed).replace(12)) == rows( + pinned(g, prog, LOSSY).replace(12) + ) # S14 + + +# ---------------------------------------------------------------- O: operations + + +def test_evaluate_publishes_nothing(): + # O1, O18. + g = par2(10, 10) + ledger = ngc.FlowLedger(g) + p = ngc.FlowPolicy(ledger, 0, 1, cost_only()) + p.replace(6) + + def state(): + return ledger.residual().tolist(), [ + (x.flow_id, x.delivered, x.edges) for x in p.records() + ] + + before = state() + r = p.evaluate(12) + assert (r.placed, r.delivery_delta) == (12, 6) and r.program is not None + assert state() == before + assert p.place(0).requested == 6 + gl = ngc.FlowPolicy(ngc.FlowLedger(graph(4, B1)), [0, 1], 3, global_()) + gl.place(2) + out = ngc.OutputOptions(edge_flows=True, residual=True, min_cut=True) + r = gl.evaluate(12, outputs=out) + assert r.edge_flows.tolist() == [2, 10, 10] and r.residual.tolist() == [0, 0, 0] + assert r.min_cut == [0, 1] and gl.placed_demand() == 2 + + +def test_replace_and_epochs(): + # O2, O6, O8, O9. + g = par2(10, 10) + ledger = ngc.FlowLedger(g) + p = ngc.FlowPolicy(ledger, 0, 1, cost_only()) + p.place(4) + old = p.records()[0].flow_id + r = p.replace(6) + assert (r.requested, r.admitted) == (6, 6) + with pytest.raises(ValueError): + ledger.record(old) + assert p.records()[0].flow_id != old + r = p.replace(INF) + assert (r.placed, r.remaining, r.termination) == (20, INF, T.EXHAUSTED) + q = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cost_only()) + q.replace(10) + r = q.replace(4) + assert (r.placed, r.delivery_delta) == (4, -6) + ids = [rec.flow_id for rec in q.records()] + r = q.place(3) + assert (r.placed, r.requested, r.admitted) == (3, 7, 7) + assert [rec.flow_id for rec in q.records()] == ids + lossy = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cost_only(admission=LOSSY)) + lossy.replace(6) + r = lossy.place(3) + assert (r.placed, r.offered, r.requested) == (3, 9, 9) + + +def test_forward_keeps_the_program_and_flags(): + # O3, O10. + g = par2(10, 10) + ledger = ngc.FlowLedger(g, [2, 10]) + a = ngc.FlowPolicy( + ledger, 0, 1, cost_only(W, weights=ngc.WeightBasis.RESIDUAL_SNAPSHOT) + ) + assert a.replace(6).placed == 6 + b = pinned(g, tunnels(g, [0], [1], [(0, [1], 1)]), ledger=ledger) + b.place(5) + r = a.forward(12) + assert (r.placed, r.routes_changed, r.weights_changed) == (6, False, False) + r = a.replace(12) + assert (r.placed, r.routes_changed, r.weights_changed) == (7, False, True) + r = a.replace(12) + assert (r.placed, r.routes_changed, r.weights_changed) == (7, False, False) + + +def test_forward_texts_and_order(): + # O4, O5, S16, V1 to V5. + g = par2(10, 10) + p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cost_only(admission=LOSSY)) + with pytest.raises( + ValueError, match=exact("forward requires an installed program") + ): + p.forward(-1) + p.place(1) + with pytest.raises( + ValueError, + match=exact("offer must be an integer in [0, 2^62) or permitted +inf"), + ): + p.forward(-1) + with pytest.raises( + ValueError, match=exact("LOSSY forwarding requires a finite offer") + ): + p.forward(INF) + other = par2(1, 1) + with pytest.raises(ValueError, match=exact("black_holes belongs to another graph")): + p.forward(1, black_holes=other.eligibility(excluded_edges=[0])) + for call in (p.replace, p.evaluate): + with pytest.raises( + ValueError, match=exact("LOSSY forwarding requires a finite offer") + ): + call(INF) + p.remove() + with pytest.raises( + ValueError, match=exact("forward requires an installed program") + ): + p.forward(1) + ca = ngc.FlowPolicy( + ngc.FlowLedger(g), + 0, + 1, + ngc.FlowPolicyConfig(routing=ngc.CapacityAware(), placement=EB), + ) + ca.place(1) + with pytest.raises( + ValueError, match=exact("forward requires an installed program") + ): + ca.forward(1) + pin = pinned(g, tunnels(g, [0], [1], [(0, [0], 1)])) + with pytest.raises(ValueError, match=exact("Pinned forwards with replace")): + pin.forward(INF, black_holes=other.eligibility(excluded_edges=[0])) + + +def test_zero_replace_and_first_flags(): + # O7, O17. + g = graph(4, POOL2) + p = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, cost_only()) + r = p.replace(0) + assert r.termination == T.COMPLETE and r.routes_changed and r.weights_changed + assert [rec.delivered for rec in p.records()] == [0, 0] + q = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, cost_only()) + r = q.place(2) + assert r.routes_changed and r.weights_changed + r = q.place(2) + assert not r.routes_changed and not r.weights_changed + + +def test_controller_flags(): + # O11 FLAGS-controller-increment, O12, O13 FLAGS-fixed-offer, O14. + g = graph(2, [(0, 1, 20)]) + p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, global_()) + r1 = p.place(5) + assert (r1.routes_changed, r1.weights_changed) == (True, True) + r2 = p.place(5) + assert (r2.routes_changed, r2.weights_changed) == (False, True) + r3 = p.replace(10) + assert (r3.routes_changed, r3.weights_changed) == (False, False) + b1 = graph(4, B1) + q = ngc.FlowPolicy(ngc.FlowLedger(b1), [0, 1], 3, global_()) + assert listing(q.place(2).program) == [(0, [0], 2)] + r = q.place(10) + assert listing(r.program) == [(0, [0], 2), (1, [1, 2], 10)] and r.routes_changed + pin = pinned(g, tunnels(g, [0], [1], [(0, [0], 1)])) + flags = [ + (r.routes_changed, r.weights_changed) for r in map(pin.replace, (5, 10, 10)) + ] + assert flags[1:] == [(False, False), (False, False)] + cost = ngc.FlowPolicy( + ngc.FlowLedger(par2(10, 10)), 0, 1, cost_only(admission=LOSSY) + ) + cost.place(1) + assert [cost.forward(x).routes_changed for x in (5, 7)] == [False, False] + gu = graph(4, G1U) + c = ngc.FlowPolicy(ngc.FlowLedger(gu), 0, 3, global_()) + c.replace(12) + assert c.forward(12).placed == 12 + r = c.forward(20) + assert (r.placed, r.termination) == (12, T.EXHAUSTED) + + +def test_capacity_aware_transitional(): + # O16. + g = graph(2, ONE) + ledger = ngc.FlowLedger(g) + p = ngc.FlowPolicy( + ledger, 0, 1, ngc.FlowPolicyConfig(routing=ngc.CapacityAware(), placement=EB) + ) + r = p.replace(5) + assert (r.placed, r.termination) == (5, T.COMPLETE) + state = ledger.residual().tolist() + assert p.evaluate(3).placed == 3 and ledger.residual().tolist() == state + + +# ---------------------------------------------------------------- D, Z: records and rows + + +def test_pooled_records_in_pinned(): + # D5: a CostOnly program in Pinned keeps the attribution of 5.1. + g = graph(4, POOL2) + prog = ( + ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, cost_only(admission=LOSSY)) + .place(2) + .program + ) + p = pinned(g, prog, LOSSY) + p.replace(2) + assert [(rec.entry, rec.edges) for rec in p.records()] == [ + (0, [(0, 1), (2, 1)]), + (1, [(1, 1), (3, 1)]), + ] + + +def test_wide_rows(): + # Z5: TunnelFlow.assigned and dropped above 2^64. + g = graph(2, [(0, 1, 0)]) + p = pinned(g, tunnels(g, [0], [1], [(0, [0], 1)]), LOSSY) + big = (1 << 62) - 1 + for _ in range(5): + r = p.place(big) + total = 5 * big + assert total > 1 << 64 + assert rows(r) == [(0, 0, UP, total, 0, total)] + assert r.offered == total and r.drops == [(0, total)] and r.source_loss == 0 + rec = p.records()[0] + assert rec.offered == total and rec.drops == [(0, total)] + + +# ---------------------------------------------------------------- E: evaluators + + +def test_query_options_offered(): + # E1 to E5. + g = par2(6, 4) + prog = tunnels(g, [0], [1], [(0, [0], 1), (0, [1], 1)]) + cfg = ngc.FlowPolicyConfig(routing=ngc.Pinned(prog)) + assert ngc.QueryOptions(cfg, offered=5).offered == 5 + assert ngc.QueryOptions(cfg).offered is None + assert ngc.QueryOptions(cfg, offered=INF).offered == INF + r = ngc.capacity(g, 0, 1, ngc.QueryOptions(cfg)) + assert (r.placed, r.termination) == (9, T.EXHAUSTED) + pl = graph(4, PINLOSS) + lp = tunnels(pl, [0], [3], [(0, [0, 2], 1), (0, [1, 3], 1)]) + lcfg = ngc.FlowPolicyConfig(routing=ngc.Pinned(lp), admission=LOSSY) + assert ngc.capacity(pl, 0, 3, ngc.QueryOptions(lcfg, offered=12)).placed == 8 + texts = [ + (ngc.QueryOptions(lcfg), "Pinned LOSSY capacity requires finite offered"), + ( + ngc.QueryOptions(lcfg, offered=INF), + "Pinned LOSSY capacity requires finite offered", + ), + ( + ngc.QueryOptions(cost_only(admission=LOSSY), offered=5), + "CostOnly LOSSY capacity uses first-hop injection", + ), + ( + ngc.QueryOptions(cost_only(), offered=5), + "CostOnly LOSSLESS capacity does not accept offered", + ), + ( + ngc.QueryOptions(global_(), offered=5), + "Global LOSSLESS capacity does not accept offered", + ), + ( + ngc.QueryOptions(cfg, offered=5), + "Pinned LOSSLESS capacity does not accept offered", + ), + ( + ngc.QueryOptions( + ngc.FlowPolicyConfig(routing=ngc.CapacityAware(), placement=EB), + offered=5, + ), + "T1 LOSSLESS capacity does not accept offered", + ), + ] + graphs = {id(lcfg): pl} + for opts, text in texts: + gg = graphs.get( + id(opts.config), + pl + if opts.config.routing.__class__ is ngc.Pinned + and opts.config.admission == LOSSY + else g, + ) + with pytest.raises(ValueError, match=exact(text)): + ngc.capacity(gg, 0, 3 if gg is pl else 1, opts) + with pytest.raises( + ValueError, + match=exact("offered must be an integer in [0, 2^62) or permitted +inf"), + ): + ngc.QueryOptions(cfg, offered=-1) + with pytest.raises( + ValueError, match=exact("batch_capacity does not accept Pinned") + ): + ngc.batch_capacity(g, [([0], [1])], ngc.QueryOptions(cfg)) + + +def test_pinned_sensitivity(): + # E6, E7, E8; GS5. + pl = graph(4, PINLOSS) + lp = tunnels(pl, [0], [3], [(0, [0, 2], 1), (0, [1, 3], 1)]) + cfg = ngc.FlowPolicyConfig(routing=ngc.Pinned(lp)) + s = ngc.sensitivity(pl, 0, 3, ngc.QueryOptions(cfg), workers=1) + assert s.baseline.placed == 4 + assert [(e.edge, e.loss) for e in s.entries] == [(0, -6), (1, 2), (2, -6), (3, 2)] + lcfg = ngc.FlowPolicyConfig(routing=ngc.Pinned(lp), admission=LOSSY) + s = ngc.sensitivity(pl, 0, 3, ngc.QueryOptions(lcfg, offered=12), workers=1) + assert s.baseline.placed == 8 + assert [(e.edge, e.loss) for e in s.entries] == [(0, -2), (1, 6), (2, -2), (3, 6)] + s2 = ngc.sensitivity(pl, 0, 3, ngc.QueryOptions(lcfg, offered=12), workers=2) + assert [(e.edge, e.loss) for e in s2.entries] == [ + (e.edge, e.loss) for e in s.entries + ] + es = graph(4, ES) + sup = ngc.sensitivity( + es, 0, 3, ngc.QueryOptions(global_(support=dag(es, [1, 3]))), workers=1 + ) + assert sup.baseline.placed == 10 + assert [(e.edge, e.loss) for e in sup.entries] == [(0, 0), (1, 10), (2, 0), (3, 10)] + + +# ---------------------------------------------------------------- properties (program_oracle.py) + + +def random_dag(rng, n): + """A random DAG on n nodes (edges from lower to higher node, some parallel, capacities with + zeros, costs 1 to 4), its rows sorted into EdgeId order.""" + rows = [] + for u in range(n): + for v in range(u + 1, n): + for _ in range(rng.choice((0, 1, 1, 2))): + rows.append((u, v, rng.choice((0, 3, 5, 7, 10, 12)), rng.randint(1, 4))) + rows.sort(key=lambda r: (r[0], r[3], r[1])) + return rows + + +def simple_paths(rows, src, dst): + """Every path (EdgeIds) from src to dst over the DAG rows.""" + out, stack = [], [(src, [])] + while stack: + u, p = stack.pop() + if u == dst: + out.append(p) + continue + for e, r in enumerate(rows): + if r[0] == u: + stack.append((r[1], [*p, e])) + return sorted(out) + + +def random_tunnel_program(rng): + """A random graph and a supplied tunnel program over it (sources {0, 1} or {0}, destination + the last node), with weights 0 to 3; None when no source has a path. A quarter are the + review's crossing gadget (S3-04): head 0's tunnels 0, 3, 5 and 1, 4, 6 cross at node 2, so a + mask can fail both while their union still reaches the destination (1, 3, 5).""" + if rng.random() < 0.25: + caps = [rng.choice((1, 3, 10)) for _ in range(7)] + ends = [(0, 2), (0, 2), (1, 5), (2, 3), (2, 4), (3, 5), (4, 5)] + rows = [(u, v, c, 1) for (u, v), c in zip(ends, caps, strict=True)] + specs = [ + (0, [0, 3, 5], rng.randint(0, 3)), + (0, [1, 4, 6], rng.randint(1, 3)), + (1, [2], rng.randint(0, 3)), + ] + return 6, rows, [0, 1], specs + n = rng.randint(4, 6) + rows = random_dag(rng, n) + if ( + rng.random() < 0.5 + ): # two heads into one tight link: ties between heads at a split + rows = [(0, 2, 10, 1), (1, 2, 10, 1)] + [r for r in rows if r[0] >= 2] + rows += [(2, n - 1, rng.choice((1, 2, 3)), 1)] + rows.sort(key=lambda r: (r[0], r[3], r[1])) + sources = [0, 1] if rng.random() < 0.7 else [0] + specs = [] + for s in sources: + candidates = simple_paths(rows, s, n - 1) + for p in rng.sample( + candidates, + min(len(candidates), rng.randint(0, 3) if s else rng.randint(1, 5)), + ): + specs.append((s, p, rng.randint(0, 3))) + if not specs: + return None + rng.shuffle(specs) + return n, rows, sources, specs + + +def test_tunnel_programs_against_the_oracle(): + # Random tunnel programs, with and without a failure mask: the by_tunnel amounts (8.1), the + # LOSSY rows and edge loads (9.1, 9.2, nested split at each link), conservation, and the + # LOSSLESS bound with its maximality (8.3). + import random + + import program_oracle as orc + + rng = random.Random(20261018) + checked = masked_checked = kept_without_entry = 0 + for _ in range(150): + made = random_tunnel_program(rng) + if made is None: + continue + n, rows_, sources, specs = made + g = graph(n, rows_) + caps = [r[2] for r in rows_] + prog = tunnels(g, sources, [n - 1], specs) + excluded = ( + [] + if rng.random() < 0.5 + else rng.sample(range(len(rows_)), min(len(rows_), rng.randint(1, 3))) + ) + elig = g.eligibility(excluded_edges=excluded) if excluded else None + alive = [not (set(es) & set(excluded)) for _, es, _ in specs] + roster = orc.replay_roster(specs, rows_, excluded, [n - 1]) + kept_without_entry += any( + not any(a for (h, _, _), a in zip(specs, alive, strict=True) if h == x) + for x in roster + ) + offer = rng.randint(0, 40) + amounts, lost = orc.entry_amounts(offer, specs, alive, roster=roster) + r = pinned(g, prog, LOSSY, elig=elig).replace( + offer, outputs=ngc.OutputOptions(edge_flows=True) + ) + assert [t.index for t in r.by_tunnel] == list(range(len(specs))) # list order + assert [t.assigned for t in r.by_tunnel] == amounts + assert [t.status for t in r.by_tunnel] == [UP if a else FAILED for a in alive] + want_rows, want_edges = orc.lossy(specs, amounts, caps) + assert [(t.delivered, t.dropped) for t in r.by_tunnel] == want_rows + assert r.edge_flows.tolist() == want_edges + assert r.source_loss == lost + assert ( + r.offered + == offer + == r.delivered + sum(d for _, d in r.drops) + r.source_loss + ) + b = orc.lossless_bound(specs, caps, alive, roster=roster) + lossless = pinned(g, prog, LOSSLESS, elig=elig) + got = lossless.replace(INF, outputs=ngc.OutputOptions(edge_flows=True)) + assert got.placed == b + assert all(f <= c for f, c in zip(got.edge_flows.tolist(), caps, strict=True)) + if b < 40: + assert lossless.replace(b + 1).placed == b # b + 1 does not fit + checked += 1 + masked_checked += bool(excluded) + # Not vacuous: masks, and heads the replay keeps without a surviving tunnel. + assert checked > 100 and masked_checked > 30 and kept_without_entry > 0, ( + kept_without_entry + ) + + +def test_export_replay_property(): + # P10 over random graphs: a Global program (both origins) forwarded by Pinned on a fresh + # ledger places the same amount on the same edges; its rows split each head's share over + # its tunnels exactly by the tunnel weights. + import random + + import program_oracle as orc + + rng = random.Random(7) + checked = 0 + for _ in range(80): + n = rng.randint(4, 6) + rows_ = random_dag(rng, n) + g = graph(n, rows_) + sources = [0, 1] if rng.random() < 0.5 else [0] + origin = rng.choice((ngc.Origin.OPTIMIZED, ngc.Origin.EQUAL)) + offer = rng.randint(1, 30) + r = ngc.FlowPolicy(ngc.FlowLedger(g), sources, n - 1, global_(origin)).place( + offer, ngc.OutputOptions(edge_flows=True) + ) + if r.placed == 0: + continue + prog = r.program + replay = pinned(g, prog).place(r.placed, ngc.OutputOptions(edge_flows=True)) + assert (replay.placed, replay.termination) == (r.placed, T.COMPLETE) + assert replay.edge_flows.tolist() == r.edge_flows.tolist() + specs = [(t.head, list(t.edges), t.weight) for t in prog.tunnels] + amounts, lost = orc.entry_amounts( + r.placed, specs, source_weights=prog.source_weights + ) + assert lost == 0 and amounts == [t.weight for t in prog.tunnels] + assert [t.assigned for t in replay.by_tunnel] == amounts + checked += 1 + assert checked > 50 + + +def test_global_support_optimality_certificate(): + # Global(support) over random supports: the value is the support's maximum flow (an + # independent Edmonds-Karp), the flow uses only the support, fits and is conserved, and the + # optimized origin leaves no negative-cost residual cycle (a minimum-cost maximum flow). + import random + + import program_oracle as orc + + rng = random.Random(11) + checked = 0 + for _ in range(80): + n = rng.randint(4, 6) + rows_ = random_dag(rng, n) + if not rows_: + continue + g = graph(n, rows_) + support = sorted(rng.sample(range(len(rows_)), rng.randint(1, len(rows_)))) + sources = [0, 1] if rng.random() < 0.5 else [0] + r = ngc.FlowPolicy( + ngc.FlowLedger(g), sources, n - 1, global_(support=dag(g, support)) + ).place(INF, ngc.OutputOptions(edge_flows=True)) + flow = r.edge_flows.tolist() + arcs = [(rows_[e][0], rows_[e][1], rows_[e][2]) for e in support] + value, _ = orc.max_flow(n, arcs, sources, [n - 1]) + assert r.placed == value + assert all(f == 0 for e, f in enumerate(flow) if e not in support) + assert all(f <= rows_[e][2] for e, f in enumerate(flow)) + for v in range(n): + if v in sources or v == n - 1: + continue + assert sum(f for e, f in enumerate(flow) if rows_[e][1] == v) == sum( + f for e, f in enumerate(flow) if rows_[e][0] == v + ) + maximal, min_cost = orc.residual_certificates( + n, + [(*rows_[e][:3], rows_[e][3]) for e in support], + [flow[e] for e in support], + sources, + [n - 1], + ) + assert maximal and min_cost + assert r.total_cost == sum(flow[e] * rows_[e][3] for e in support) + checked += 1 + assert checked > 60 + + +def test_mapping(): + # M1 to M10, C7: today's Pinned uses mapped onto programs (values derived by hand). + split = ngc.FlowPlacement.WEIGHTED + # M1: one EqualBalanced DAG route over DIAM: Lossless 200; Lossy place(100) delivers 100. + g = graph(4, DIAM) + one = ngc.ForwardingProgram.from_routes( + g, 0, 3, [ngc.Route(0, dag(g, [0, 1, 2, 3]))] + ) + assert pinned(g, one).place(INF).placed == 200 + assert pinned(g, one, LOSSY).place(100).placed == 100 + # M2: Weighted with capacity weights (the default basis): 200; with the residual snapshot + # (100, 50, 100, 50), node 0 splits by H(x, (100, 50)): H(150) = (100, 50) fits, H(151) = + # (101, 50) does not. + w = ngc.ForwardingProgram.from_routes( + g, 0, 3, [ngc.Route(0, dag(g, [0, 1, 2, 3]))], placement=split + ) + assert pinned(g, w).place(INF).placed == 200 + snap = ngc.ForwardingProgram.from_routes( + g, + 0, + 3, + [ngc.Route(0, dag(g, [0, 1, 2, 3]))], + placement=split, + weights=ngc.WeightBasis.RESIDUAL_SNAPSHOT, + residual=[100, 50, 100, 50], + ) + assert pinned(g, snap).place(INF).placed == 150 + # M3, M4: two one-edge DAG routes on PAR2(6, 4): EqualBalanced and Weighted both split by round + # robin over the entries: 9; Global(support) over both edges: 10. + g = par2(6, 4) + for options in ({}, {"placement": split}): + two = ngc.ForwardingProgram.from_routes( + g, 0, 1, [ngc.Route(0, dag(g, [0])), ngc.Route(0, dag(g, [1]))], **options + ) + assert pinned(g, two).place(INF).placed == 9 + assert ( + ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, global_(support=dag(g, [0, 1]))) + .place(INF) + .placed + == 10 + ) + # M5: two routes sharing e0 (4 units) on SHARE, Lossy place(10): RR(10, 2) = (5, 5) arrive at + # e0, which carries H(4, (5, 5)) = (2, 2): records 2 and 2. + g = graph(3, SHARE) + shared = ngc.ForwardingProgram.from_routes( + g, 0, 2, [ngc.Route(0, dag(g, [0, 1])), ngc.Route(0, dag(g, [0, 2]))] + ) + p = pinned(g, shared, LOSSY) + assert p.place(10).placed == 4 + assert [rec.delivered for rec in p.records()] == [2, 2] + # M6: one MaxFlow bundle becomes Global(support): ES over all four links, 12 at cost 34, one + # record per source with the used edges and no entry. + g = graph(4, ES) + p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, global_(support=dag(g, [0, 1, 2, 3]))) + r = p.place(INF) + assert (r.placed, r.total_cost) == (12, 34) + assert [(rec.entry, list(rec.bundle.via_edges())) for rec in p.records()] == [ + (None, [0, 1, 2, 3]) + ] + # M7: Lossy +inf is refused. + g = par2(6, 4) + two = tunnels(g, [0], [1], [(0, [0], 1), (0, [1], 1)]) + with pytest.raises( + ValueError, match=exact("LOSSY forwarding requires a finite offer") + ): + pinned(g, two, LOSSY).place(INF) + # M8: several sources and destinations are accepted. + g = graph(4, B1) + both = tunnels(g, [0, 1], [3], [(0, [0], 1), (1, [1, 2], 1)]) + assert pinned(g, both).place(4).placed == 4 + # M9: duplicate routes are distinct entries (L1): 12 over three records. + g = par2(4, 8) + dup = tunnels(g, [0], [1], [(0, [0], 1), (0, [1], 1), (0, [1], 1)]) + p = pinned(g, dup) + assert p.place(INF).placed == 12 and [rec.entry for rec in p.records()] == [0, 1, 2] + # M10: an empty route list. + with pytest.raises(ValueError, match=exact("routes must not be empty")): + ngc.ForwardingProgram.from_routes(g, 0, 1, []) + # C7: Pinned takes a program: no bundles keyword, a list is not a program, None is refused. + with pytest.raises(TypeError): + ngc.Pinned(bundles=[dag(g, [0])]) + with pytest.raises(TypeError): + ngc.Pinned([dag(g, [0])]) + with pytest.raises( + TypeError, match=exact("Pinned program must be a ForwardingProgram") + ): + ngc.Pinned(None) + + +# ---------------------------------------------------------------- facts of the retired fixtures + + +def test_pinned_facts_of_the_retired_reference_fixtures(): + # The Pinned facts that the removed reference fixtures held, derived again from the rules + # (NOTES names each removed fixture with its covering test). + # pinned_bundle_rules: a split route's record reports its cheapest walk as route_cost: the + # DAG {0 -> 1 (cost 1), 1 -> 2 (cost 2), 0 -> 2 (cost 4)} has walks of cost 3 and 4. + g = graph(3, [(0, 1, 5, 1), (0, 2, 5, 4), (1, 2, 5, 2)]) + prog = ngc.ForwardingProgram.from_routes( + g, [0], [2], [ngc.Route(0, dag(g, [0, 1, 2]))] + ) + p = pinned(g, prog) + p.place(1) + assert [(rec.entry, rec.route_cost) for rec in p.records()] == [(0, 3)] + # eb_1_plus_2_vs_3: Lossless Pinned is additive: place(1); place(2) re-solves 3 from zero, + # RR(3, 3) = (1, 1, 1), as place(3) does. + g = graph(2, [(0, 1, 10), (0, 1, 10), (0, 1, 10)]) + prog = tunnels(g, [0], [1], [(0, [e], 1) for e in range(3)]) + flows = ngc.OutputOptions(edge_flows=True) + split = pinned(g, prog) + split.place(1) + two = split.place(2, flows) + one = pinned(g, prog).place(3, flows) + assert two.edge_flows.tolist() == one.edge_flows.tolist() == [1, 1, 1] + assert (two.placed, one.placed) == (2, 3) + # admission_zero_and_no_route: every tunnel failed: the head reaches no destination over its + # own routes, the replay roster is empty, a positive request ends NO_ROUTE. + g = graph(4, TUN) + prog = tunnels(g, [0], [3], [(0, [0, 2], 1), (0, [1, 3], 1)]) + r = pinned(g, prog, elig=g.eligibility(excluded_edges=[0, 1])).place(5) + assert (r.placed, r.termination) == (0, T.NO_ROUTE) + assert [t.status for t in r.by_tunnel] == [FAILED, FAILED] + # flag_zero_delivery_creation: a first place(1) on a tunnel whose only unit another owner + # holds creates the record at zero delivery and installs the program (both flags); a second + # zero-delivery call keeps the id and sets no flag (an offer-only call). + g = graph(2, [(0, 1, 1)]) + ledger = ngc.FlowLedger(g) + ngc.FlowPolicy(ledger, 0, 1, cost_only()).place(1) + p = pinned(g, tunnels(g, [0], [1], [(0, [0], 1)]), ledger=ledger) + r = p.place(1) + ids = [rec.flow_id for rec in p.records()] + assert (r.placed, r.termination, r.routes_changed, r.weights_changed) == ( + 0, + T.EXHAUSTED, + True, + True, + ) + assert [rec.delivered for rec in p.records()] == [0] + r = p.place(1) + assert (r.placed, r.routes_changed, r.weights_changed) == (0, False, False) + assert [rec.flow_id for rec in p.records()] == ids + + +@needs_hooks +def test_the_creation_cap_does_not_limit_pinned_records(): + # limits_kmaxflowspercall: the call-wide creation cap counts CapacityAware creations only; a + # Pinned program of five tunnels creates its five records under a cap of 3. + import _netgraph_core as ext + + g = graph(2, [(0, 1, 1)] * 5) + prog = tunnels(g, [0], [1], [(0, [e], 1) for e in range(5)]) + old = ext._max_flows_per_call(3) + try: + p = pinned(g, prog) + r = p.place(5) + assert r.placed == 5 and [rec.entry for rec in p.records()] == [0, 1, 2, 3, 4] + finally: + ext._max_flows_per_call(old) + + +# ---------------------------------------------------------------- Python allocation failures + + +@needs_hooks +@pytest.mark.parametrize( + "case", + ["costonly replace", "costonly forward", "global evaluate", "pinned replace"], +) +def test_operations_are_all_or_nothing(case): + # Every Python object of evaluate, replace and forward exists before anything is published: + # the k-th Python allocation failing raises with the ledger and the policy as they were (the + # installed program and the earlier call's records included), and a retry returns what a + # call without failure returns. + g = graph(4, PINLOSS) + prog = tunnels(g, [0], [3], [(0, [0, 2], 1), (0, [1, 3], 1)]) + configs = { + "costonly replace": (cost_only(admission=LOSSY), "replace"), + "costonly forward": (cost_only(admission=LOSSY), "forward"), + "global evaluate": (global_(), "evaluate"), + "pinned replace": ( + ngc.FlowPolicyConfig(routing=ngc.Pinned(prog), admission=LOSSY), + "replace", + ), + } + cfg, method = configs[case] + + def make(): + ledger = ngc.FlowLedger(g) + policy = ngc.FlowPolicy(ledger, 0, 3, cfg) + policy.replace(2) + + def snapshot(): + return [ + full_ledger_state(ledger), + repr(policy._state()), + listing(policy.program), + ] + + return getattr(policy, method), (6,), snapshot + + assert sweep_python_allocation(make) >= 3 # not vacuous + + +@needs_hooks +def test_from_routes_and_getters_survive_python_allocation_failures(): + # from_routes and the getters of shared values make their objects through the checked path: + # a failed Python allocation raises, and the call that completes returns the clean value. + g = graph(2, [(0, 1, 4), (0, 1, 8)]) + routes = [ngc.Route(0, path(g, [0])), ngc.Route(0, dag(g, [0, 1]), weight=2)] + prog = ngc.ForwardingProgram.from_routes(g, [0], [1], routes) + # A Global result: its program has no Python object yet, so the getter makes one. + result = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, global_()).place(3) + calls = [ + (ngc.ForwardingProgram.from_routes, (g, [0], [1], routes)), + (lambda: result.program, ()), + (lambda: result.by_tunnel, ()), + (lambda: prog.tunnels, ()), + ] + for fn, args in calls: + failures = sweep_python_allocation(lambda fn=fn, args=args: (fn, args, list)) + assert failures >= 1, fn + + +# ---------------------------------------------------------------- review S3-01 to S3-03 + + +@pytest.mark.parametrize("w", [1 << 61, (1 << 62) - 1]) +@pytest.mark.parametrize("admission", [LOSSLESS, LOSSY]) +@pytest.mark.parametrize("kind", ["tunnels", "explicit"]) +def test_large_equal_weights_deliver_exactly_eight(kind, admission, w): + # S3-01: eight equal legal weights sum to 2^64 or more; equal weights give RR(8, 8): one unit + # on each of eight links of 100. + g = graph(2, [(0, 1, 100)] * 8) + if kind == "tunnels": + p = pinned(g, tunnels(g, [0], [1], [(0, [i], w) for i in range(8)]), admission) + else: + p = ngc.FlowPolicy( + ngc.FlowLedger(g), + 0, + 1, + cost_only( + W, admission, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[w] * 8 + ), + ) + r = p.replace(8, outputs=ngc.OutputOptions(edge_flows=True)) + assert r.placed == r.delivered == r.admitted == 8 + assert r.edge_flows.tolist() == [1] * 8 + assert r.source_loss == r.call_source_loss == 0 + + +@pytest.mark.parametrize("admission", [LOSSLESS, LOSSY]) +def test_large_unequal_weights_split_by_highest_averages(admission): + # S3-01: weights 2^62 - 1, 2^61, 2^61 + 1, 1 (W = 2^63 + 1) on four links of 100, offer 9: + # lower quotas floor(9 w / W) = (4, 2, 2, 0); the ninth unit goes to the largest w / (a + 1), + # (2^62 - 1) / 5 against (2^61 + 1) / 3: H(9, w) = (5, 2, 2, 0), the oracle's too; explicit + # WCMP and tunnels alike. + import program_oracle as orc + + weights = [(1 << 62) - 1, 1 << 61, (1 << 61) + 1, 1] + want = orc.ha(9, weights) + assert want == [5, 2, 2, 0] + g = graph(2, [(0, 1, 100)] * 4) + for p in ( + pinned( + g, + tunnels(g, [0], [1], [(0, [i], w) for i, w in enumerate(weights)]), + admission, + ), + ngc.FlowPolicy( + ngc.FlowLedger(g), + 0, + 1, + cost_only( + W, admission, weights=ngc.WeightBasis.EXPLICIT, edge_weights=weights + ), + ), + ): + r = p.replace(9, outputs=ngc.OutputOptions(edge_flows=True)) + assert r.placed == 9 and r.edge_flows.tolist() == want and r.source_loss == 0 + + +@pytest.mark.parametrize("method", ["replace", "evaluate", "forward"]) +@pytest.mark.parametrize("case", ["no-route", "zero-weight"]) +@pytest.mark.parametrize("admission", [LOSSLESS, LOSSY]) +def test_full_zero_offer_is_complete(method, case, admission): + # S3-02: a full zero offer is COMPLETE (14.2's first row), after its preparation: an empty + # roster and a program without a positive weight alike. + g = graph(2, [(0, 1, 10)]) + cfg = cost_only(W, admission, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[0]) + elig = g.eligibility(excluded_edges=[0]) if case == "no-route" else None + p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg, elig) + if method == "forward": + p.replace(1) + r = getattr(p, method)(0) + assert r.termination == T.COMPLETE and r.placed == 0 + assert r.program is not None # prepared + + +@pytest.mark.parametrize("method", ["replace", "evaluate"]) +@pytest.mark.parametrize("admission", [LOSSLESS, LOSSY]) +def test_full_zero_offer_is_complete_for_pinned(method, admission): + # S3-02 for Pinned: a program whose head is masked out, and one whose weights are all 0. + g = graph(2, [(0, 1, 10)]) + masked = pinned( + g, + tunnels(g, [0], [1], [(0, [0], 1)]), + admission, + elig=g.eligibility(excluded_edges=[0]), + ) + zero = pinned(g, tunnels(g, [0], [1], [(0, [0], 0)]), admission) + for p in (masked, zero): + assert getattr(p, method)(0).termination == T.COMPLETE + + +@pytest.mark.parametrize("admission", [LOSSLESS, LOSSY]) +@pytest.mark.parametrize("offer", [0, 5]) +def test_all_failed_entries_still_have_records(admission, offer): + # S3-03: one record per program entry also when every entry fails: zero, an empty bundle, + # route cost None; replace retires and recreates them, an increment keeps them, evaluate + # publishes nothing. + g = graph(2, [(0, 1, 10)]) + p = pinned( + g, + tunnels(g, [0], [1], [(0, [0], 1)]), + admission, + elig=g.eligibility(excluded_edges=[0]), + ) + assert p.evaluate(offer).placed == 0 and p.records() == [] + r = p.replace(offer) + assert r.termination == (T.COMPLETE if offer == 0 else T.NO_ROUTE) + rows = lambda: [ # noqa: E731 + ( + rec.entry, + rec.delivered, + rec.edges, + rec.bundle.via_edges().tolist(), + rec.route_cost, + ) + for rec in p.records() + ] + assert rows() == [(0, 0, [], [], None)] + first = [rec.flow_id for rec in p.records()] + p.replace(offer) + second = [rec.flow_id for rec in p.records()] + assert rows() == [(0, 0, [], [], None)] and second != first # retired and recreated + r = p.place(3) + assert ( + r.placed == 0 and [rec.flow_id for rec in p.records()] == second + ) # an increment keeps it + if admission == LOSSY: + assert r.call_source_loss == 3 + + +def test_oracle_witnesses_of_the_review(): + # S3-04: the reference's replay roster is the saved basis, whatever survives, and the offer + # that captured weights of 0 do not inject is source loss; each against the library, with the + # old rule as a negative control (it must disagree on the same input). + import program_oracle as orc + + rows_ = [ + (0, 2, 10), + (0, 2, 10), + (1, 5, 10), + (2, 3, 10), + (2, 4, 10), + (3, 5, 10), + (4, 5, 10), + ] + g = graph(6, rows_) + specs = [(0, [0, 3, 5], 1), (0, [1, 4, 6], 1), (1, [2], 1)] + excluded = [0, 6] + alive = [False, False, True] + r = pinned( + g, + tunnels(g, [0, 1], [5], specs), + LOSSY, + elig=g.eligibility(excluded_edges=excluded), + ).replace(2) + native = ([t.assigned for t in r.by_tunnel], r.source_loss) + # Head 0's tunnels both fail, but its basis keeps 1, 3, 5: it stays in the equal pool and + # loses its unit; head 1 carries the other. + roster = orc.replay_roster(specs, rows_, excluded, [5]) + assert roster == [0, 1] + assert orc.entry_amounts(2, specs, alive, roster=roster) == native == ([0, 0, 1], 1) + # The old rule (the heads with a surviving tunnel) gives head 1 both units. + assert orc.entry_amounts(2, specs, alive, roster=[1]) == ([0, 0, 2], 0) != native + # Captured weights all 0 (P7's program, source 0 masked): the whole offer is lost (R6). + g = graph(3, [(0, 2, 5), (1, 2, 5)]) + prog = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, global_()).place(1).program + r = pinned(g, prog, LOSSY, elig=g.eligibility(excluded_nodes=[0])).replace(4) + gspecs = [(t.head, list(t.edges), t.weight) for t in prog.tunnels] + galive = [t.head != 0 for t in prog.tunnels] + got = orc.entry_amounts( + 4, gspecs, galive, source_weights=prog.source_weights, roster=[1] + ) + assert got == ([0] * len(gspecs), 4) and r.source_loss == 4 + assert orc.entry_amounts(5, [(0, [0], 1)], source_weights=[(0, 0)]) == ([0], 5) + + +def test_global_record_bundle_is_its_share_inside_a_support(): + # A Global record's bundle is the set of edges that carry its share, also inside a supplied + # support (semantics, "Records of the controllers"); it is the support itself only when the + # share uses every support edge. Two paths to 3: 0-1-3 at cost 1 + 1 and 0-2-3 at cost 2 + 2, + # capacity 10 each; the support is all four edges. + g = graph(4, [(0, 1, 10, 1), (0, 2, 10, 2), (1, 3, 10, 1), (2, 3, 10, 2)]) + support = dag(g, [0, 1, 2, 3]) + p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, global_(support=support)) + # 3 units: the cheaper path carries them all (cost 2 per unit). + assert p.place(3).placed == 3 + [rec] = p.records() + assert [(int(e), int(x)) for e, x in rec.edges] == [(0, 3), (2, 3)] + assert rec.bundle.via_edges().tolist() == [0, 2] + assert rec.route_cost == 2 + # 10 more: the cheap path fills at 10 and the other carries 3: every support edge, the same + # value as the support. + assert p.place(10).placed == 10 + [rec] = p.records() + assert rec.bundle.via_edges().tolist() == [0, 1, 2, 3] + assert rec.bundle == support + assert rec.route_cost == 2 + + +def test_change_flags_of_empty_programs_and_place_zero(): + # Semantics, change flags: the first nonempty program sets both flags; an empty program over + # none (an empty roster, replace(0) included) sets neither; place(0) prepares and installs + # nothing, while the full zero offer replace(0) installs the program and follows the rows. + g = graph(3, [(0, 1, 10), (2, 1, 10)]) # source 0 reaches 1; nothing reaches 2 + empty = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 2, cost_only()) + r = empty.replace(0) + assert r.program is not None and r.program.tunnels == () + assert (r.routes_changed, r.weights_changed) == (False, False) + p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cost_only()) + r = p.place(0) + assert r.program is None and p.program is None + assert (r.routes_changed, r.weights_changed) == (False, False) + r = p.replace(0) + assert r.program is not None and p.program is not None + assert (r.routes_changed, r.weights_changed) == (True, True) diff --git a/tests/py/test_public_surface.py b/tests/py/test_public_surface.py index 2c5643d..367b9a8 100644 --- a/tests/py/test_public_surface.py +++ b/tests/py/test_public_surface.py @@ -37,6 +37,12 @@ "CapacityAware", "Global", "Pinned", + "WeightBasis", + "TunnelStatus", + "Tunnel", + "Route", + "ForwardingProgram", + "TunnelFlow", "FlowPolicyConfig", "OutputOptions", "Termination", @@ -160,8 +166,15 @@ def test_signatures_name_registered_types_only(): # Retired members: PlacementResult's per-source termination list (the result reports one -# termination and per-source rows in by_source) and FlowRecord's kernel (only ever written). -RETIRED_MEMBERS = {"PlacementResult": {"local_outcomes"}, "FlowRecord": {"placement"}} +# termination and per-source rows in by_source), FlowRecord's kernel (only ever written), +# FlowPolicy's usable-bundle count and Pinned's bundle list (Pinned forwards a ForwardingProgram; +# FlowPolicy.program and PlacementResult.by_tunnel report what is forwarded). +RETIRED_MEMBERS = { + "PlacementResult": {"local_outcomes"}, + "FlowRecord": {"placement"}, + "FlowPolicy": {"usable_bundles"}, + "Pinned": {"bundles"}, +} def test_retired_spellings_are_absent(): @@ -216,7 +229,7 @@ def _refusal_inputs(): spf=ngc.SpfOptions(ngc.Direction.FORWARD, sel()), ksp=ngc.KspOptions(1, sel()), dag=ngc.Path(g, [[0], [1]]).to_dag(), - path=ngc.Path(g, [[0]]), + route=ngc.Route(0, ngc.Path(g, [[0], [1]])), ) @@ -224,8 +237,8 @@ def _refusal_inputs(): INTERSECT = "Eligibility.intersect takes two Eligibility values" PAIR = "each pair must be (sources, destinations)" ROUTING = "routing must be CostOnly, CapacityAware, Global or Pinned (got {})" -SEQUENCE = "Pinned bundles must be a sequence of PredDAG" -BUNDLE = "Pinned bundles must be PredDAG values (a Path converts with to_dag())" +ROUTES = "routes must be a sequence of Route" +BUNDLE = "Route bundle must be a Path or a PredDAG (got {})" # Each wrong argument, the exception class and the whole message it is refused with. A None # where a Graph, an Eligibility or a PredDAG is expected reaches the binding as a null value @@ -358,11 +371,37 @@ def _refusal_inputs(): ValueError, "diminishing fraction must be a number (got str)", ), - "Pinned-bundles-int": (lambda s: ngc.Pinned(5), TypeError, SEQUENCE), - "Pinned-bundles-None": (lambda s: ngc.Pinned(None), TypeError, SEQUENCE), - "Pinned-bundle-int": (lambda s: ngc.Pinned([5]), TypeError, BUNDLE), - "Pinned-bundle-None": (lambda s: ngc.Pinned([None]), TypeError, BUNDLE), - "Pinned-bundle-Path": (lambda s: ngc.Pinned([s.path]), TypeError, BUNDLE), + "Pinned-program-None": ( + lambda s: ngc.Pinned(None), + TypeError, + "Pinned program must be a ForwardingProgram", + ), + "Route-bundle-int": (lambda s: ngc.Route(0, 5), TypeError, BUNDLE.format("int")), + "Route-bundle-None": ( + lambda s: ngc.Route(0, None), + TypeError, + BUNDLE.format("NoneType"), + ), + "from_routes-graph-None": ( + lambda s: ngc.ForwardingProgram.from_routes(None, [0], [2], [s.route]), + ValueError, + GRAPH, + ), + "from_routes-routes-int": ( + lambda s: ngc.ForwardingProgram.from_routes(s.g, [0], [2], 5), + TypeError, + ROUTES, + ), + "from_routes-route-int": ( + lambda s: ngc.ForwardingProgram.from_routes(s.g, [0], [2], [5]), + TypeError, + ROUTES, + ), + "from_routes-route-None": ( + lambda s: ngc.ForwardingProgram.from_routes(s.g, [0], [2], [None]), + TypeError, + ROUTES, + ), } diff --git a/tests/py/test_zero_capacity.py b/tests/py/test_zero_capacity.py index 8bea95f..98a95ef 100644 --- a/tests/py/test_zero_capacity.py +++ b/tests/py/test_zero_capacity.py @@ -166,11 +166,15 @@ def test_capacity_aware_roster_and_stretch_baseline(): @pytest.mark.parametrize( ("caps", "bound"), [((0, 4), 0), ((4, 0), 1)], ids=["E-zero-first", "E-zero-last"] ) -def test_pinned_bundles_keep_their_zero_links(caps, bound): +def test_pinned_routes_keep_their_zero_links(caps, bound): + # Two split routes, one over the zero link: the head's round robin gives the first unit to + # route 0, so a zero first route blocks every total and a zero last route admits 1. g = graph(2, [(0, 1, caps[0], 1), (0, 1, caps[1], 1)]) - cfg = config(ngc.Pinned([dag_of(g, [0]), dag_of(g, [1])])) - r, p = place(g, 0, 1, cfg, math.inf) - assert (r.placed, p.usable_bundles()) == (bound, 2) + program = ngc.ForwardingProgram.from_routes( + g, 0, 1, [ngc.Route(0, dag_of(g, [0])), ngc.Route(0, dag_of(g, [1]))] + ) + r, p = place(g, 0, 1, ngc.FlowPolicyConfig(routing=ngc.Pinned(program)), math.inf) + assert (r.placed, len(p.records())) == (bound, 2) def test_global_min_cut_lists_zero_capacity_links_leaving_the_closure(): diff --git a/tests/reference/policy/README.md b/tests/reference/policy/README.md index 24d4df1..4a4bd13 100644 --- a/tests/reference/policy/README.md +++ b/tests/reference/policy/README.md @@ -2,7 +2,7 @@ ## In plain words -`tests/data/policy_fixtures.json` holds 59 small scenarios (graphs, ledgers, policies and their +`tests/data/policy_fixtures.json` holds 55 small scenarios (graphs, ledgers, policies and their calls) together with the result every call must produce. Both replay tests read it: `tests/cpp/flow_policy_fixture_tests.cpp` runs the scenarios on the C++ engine and `tests/py/test_flow_policy_fixtures.py` runs them through the Python binding; each compares @@ -52,8 +52,8 @@ that every module of the reference was imported from this directory (an installe the same name, such as `graph` or `units`, would otherwise shadow it) and that no module of the library (`netgraph_core`, `_netgraph_core`) was imported. -The data file: 741,400 bytes, sha256 -`e353ef06eb62f2ab3d60b33d586a6ccf46851c5d22f89dce67f5621e06859d26` (59 fixtures, 636 +The data file: 651,786 bytes, sha256 +`47e332040c3a65719036e8dc59dc5995037be5bc8920a8153dba2ced751a7257` (55 fixtures, 533 operations). This directory is excluded from the source distribution (`sdist.exclude` in `pyproject.toml`); @@ -73,10 +73,10 @@ the copies were taken on 2026-10-09. | Copy (this directory) | Original | sha256 of the original | sha256 of the copy | | --- | --- | --- | --- | -| `export_policy_fixtures.py` | `equivalence/export_policy_fixtures.py` | `0aea76a050b2d83e7398559af6a7d484a5a82a48b35bac9a3686f5fdf73211d2` | `43ff1a092de611e813507376080ac98d6eb19ee08348b72982ae1796a61cde4f` (relocated; pooled sources, below) | +| `export_policy_fixtures.py` | `equivalence/export_policy_fixtures.py` | `0aea76a050b2d83e7398559af6a7d484a5a82a48b35bac9a3686f5fdf73211d2` | `e538ae31cab50370a8058003a52d7a2f3d0e25eb2de8cd7c22970255b0875e77` (relocated; pooled sources; programs, below) | | `p2_transaction/_p1.py` | `prototypes/p2_transaction/_p1.py` | `3ec5468e1ee8357faa9d85e6d748c718de63baee22e064c204324e42de42ec98` | same | -| `p2_transaction/fixtures.py` | `prototypes/p2_transaction/fixtures.py` | `ea05c85ce851fd7b7c6ff34b6a9eedbfd7b280187d0bf7e7965e626e4fe52071` | `64f616349a76887741879afac04c9d09ad82bd962b0c424ff557503c0451d8a6` (zero capacity; pooled sources, below) | -| `p2_transaction/policy.py` | `prototypes/p2_transaction/policy.py` | `b367b71c6052cb70c9b107ec7fdd15f491349cfd6fdfcb12a18f24ab69a4d27b` | `aeab8cc02c67309d1cb55dd00b926b98b04886b30f228be234df1f89fbe22bb7` (zero capacity; pooled sources, below) | +| `p2_transaction/fixtures.py` | `prototypes/p2_transaction/fixtures.py` | `ea05c85ce851fd7b7c6ff34b6a9eedbfd7b280187d0bf7e7965e626e4fe52071` | `60e61213de983cad3f3c70943e3d6afa8dbffe001595d3d245087e0a7e67ecdf` (zero capacity; pooled sources; programs, below) | +| `p2_transaction/policy.py` | `prototypes/p2_transaction/policy.py` | `b367b71c6052cb70c9b107ec7fdd15f491349cfd6fdfcb12a18f24ab69a4d27b` | `d1c773d670f6b5cf6f0cf4fdf4a69779ef85a656ffcbcec4e52f16795e8bf0f7` (zero capacity; pooled sources; programs, below) | | `p2_transaction/recorder.py` | `prototypes/p2_transaction/recorder.py` | `fb4a8f20ccc6ecef4bc6d934226df33d84ee4dbf70c59aad9f33a097b9d0eb8a` | same | | `p2_transaction/run_fixtures.py` | `prototypes/p2_transaction/run_fixtures.py` | `c20d655a2324c42201e9b743c51ef16bb47942dda56782e2d16b135a9c4db2fa` | same | | `p1_amount/apportion.py` | `prototypes/p1_amount/apportion.py` | `c1e2f5082a99db1d0e7de5cf4e713ad5790aca3d85060583d536f5bc7fdcd4b1` | same | @@ -197,3 +197,48 @@ per-source outcomes. The reference was changed in exactly these places, by hand and `Draft` and from the record's JSON, `p2_transaction/policy.py` no longer passes it, and the exporter no longer writes it. The data lost exactly the 759 record `placement` keys; nothing else changed. + +## Forwarding programs + +The library's rule changed again: `Pinned` forwards a `ForwardingProgram` (8.1) instead of a list +of bundles, `Global(support=dag)` is the controller restricted to a DAG's edges, CostOnly +`Weighted` takes its weights from a weight basis (`CAPACITY` by default, `RESIDUAL_SNAPSHOT`) +instead of the selection's priority, and the change flags compare the installed program before and +after a call. The reference was changed in exactly these places, by hand from those rules: + +1. `p2_transaction/policy.py`: `Global` takes a `support` (the controller's edges are the + support's edges on walks from the sources to the destinations, trimmed); `FlowPolicyConfig` + takes `weights` (CostOnly `Weighted`: `CAPACITY` or `RESIDUAL_SNAPSHOT`, the residual at the + preparing call's entry); `Pinned` is gone (no fixture builds one any more); the flags compare + the epoch's programs (the ordered heads, each entry's route; the injection and every weight), + so a first program sets both flags and a controller's re-solve that changes only an amount sets + `weights_changed`; `_decompose` returns the controller's paths. +2. `export_policy_fixtures.py`: a configuration writes its `support` and `weights`; a policy's + state no longer has `usable`. +3. `p2_transaction/fixtures.py`: every single-bundle "manual" owner (a `Pinned` `MaxFlow` policy + on one bundle, 29 owners) is `Global(support=bundle)`: the amounts are unchanged and a record's + bundle is the edges that carry its share; the nine `Weighted` configurations whose prose reads + the residual name `weights=RESIDUAL_SNAPSHOT` (their values are unchanged); `co()` builds the + CostOnly kernels as before. The other Pinned policies are removed, each with the test that now + covers what it showed (contract rules 8 to 10, values derived by hand): + + | Removed | What it showed | Covering test | + | --- | --- | --- | + | `lossy_shared_ingress` (whole fixture) | two Lossy flows on one ingress, consumed in order | the loss rule inside one program: `ProgramLossy.Merge`, `PinnedMapping.SingleBundle` (M5), `test_programs.py::test_loss_rule`; Lossy calls are not additive: `PinnedProgram.Increments` (L10) | + | `eb_correlated_remainders` (whole fixture) | the cohort's round robin over flows that share a split | `PinnedProgram.SplitContextsAreSeparate` (each split route splits its own share), `PinnedProgram.Duplicates` (identical routes take their own shares) | + | `pinned_kernels_5_1` (whole fixture) | each kernel on routes of 5 and 1 | `PinnedMapping.SingleBundle` (M3, M4: round robin over entries; `Global(support)` for MaxFlow), `PinnedProgram.Duplicates` (`E-static-path-fill`), `ProgramLossy.Merge` (`E-support-pinned-loss`) | + | `pinned_bundle_rules` (whole fixture) | the bundle list's rejections, equal bundles kept, a mixed-cost DAG's `route_cost` | `FromRoutes.Texts`, `FromRoutes.Order`, `FromRoutes.ZeroWeightKept`, `PinnedProgram.FieldTexts`, `PinnedProgram.Endpoints`, `PinnedProgram.SeveralEndpoints`, `PinnedMapping.SingleBundle` (M8 to M10), `test_programs.py::test_pinned_facts_of_the_retired_reference_fixtures` (`route_cost` 3) | + | the Pinned halves of `four_calls_MaxFlow`, `_W`, `_EB`, `_Lossy` (12 operations each) | four calls of 1 on two pinned routes | `PinnedProgram.Increments` (L9 to L11), `Operations.PlaceContinuesTheEpoch`, `Operations.ControllerWeights` (a supported or unrestricted controller's increments) | + | the Pinned cohort of `eb_1_plus_2_vs_3` (7 operations) | `place(1); place(2)` equals `place(3)` | `test_programs.py::test_pinned_facts_of_the_retired_reference_fixtures` (Lossless Pinned is additive) | + | the Pinned part of `admission_zero_and_no_route` (3 operations) | every bundle excluded: `NO_ROUTE` | the same test (every tunnel failed: `NO_ROUTE`), `Replay.TunnelFailedByNode` | + | the Pinned policy of `limits_kmaxflowspercall` (3 operations) | the creation cap does not count Pinned flows | `test_programs.py::test_the_creation_cap_does_not_limit_pinned_records` | + | the Pinned half of `flag_zero_delivery_creation` (6 operations) | a zero-delivery creation and its flags | `test_programs.py::test_pinned_facts_of_the_retired_reference_fixtures` (both flags on the first program, none on the next zero call), `Operations.OfferOnly` | + | the rejected Pinned source set of `sources_limits_and_validation` (1 operation) | Pinned required single endpoints | `PinnedProgram.SeveralEndpoints` (accepted now) | + + The policy ids of the fixtures that lost a policy are renumbered. + +The data changed in exactly these ways: four fixtures and 103 operations fewer; the 29 owners' +configurations and record bundles; `support` and `weights` in the configurations; every policy +state lost its `usable` key (332 keys); and the flags of the first program of each epoch +(`weights_changed` true) and of two CostOnly `MaxFlow` re-solves whose paths change +(`routes_changed` true). diff --git a/tests/reference/policy/export_policy_fixtures.py b/tests/reference/policy/export_policy_fixtures.py index 17acaec..aa6d448 100644 --- a/tests/reference/policy/export_policy_fixtures.py +++ b/tests/reference/policy/export_policy_fixtures.py @@ -26,15 +26,15 @@ build ranks the edges the same way); * ``ops`` in call order: ``ledger`` (graph, baseline in B' id order or null), ``copy``, ``reset``, ``policy`` (ledger, sources and destinations as given, the full configuration - with Pinned bundles as ascending B' edge lists, the Eligibility as excluded node and edge - ids, or ``error``), ``place`` (volume as an int or ``"inf"``, the outputs flags, the + with a Global support as an ascending B' edge list and a Weighted weight basis when given, + the Eligibility as excluded node and edge ids, or ``error``), ``place`` (volume as an int or ``"inf"``, the outputs flags, the creation cap ``cap``), ``remove`` and ``destroy``; * after every operation the prototype's expected values (``expect``): the call's result (``to_json``: placed, remaining, termination, local outcomes, flags, drops, the cost curve and the requested outputs), the ledger state (allocated and residual in id order, every record field with the bundle as an ascending edge list, next FlowId, bound and orphaned - owners), the policy state (roster, requested, +inf, placed demand, usable bundles, per - source the flows' id, route, T (null for Lossy: prototype 2 keeps none), delivered, alloc, + owners), the policy state (roster, requested, +inf, placed demand, per source the flows' + id, route, T (null for Lossy: prototype 2 keeps none), delivered, alloc, members and weights) and the normalised trace (prototype 2's keys; the probe counts ``evals``, the flow core's ``counters`` and ledger uids dropped; FlowIds as ids). @@ -206,7 +206,6 @@ def policy_state(pol) -> dict: "requested": pol.requested, "infinite": pol.infinite, "placed_demand": pol.placed_demand(), - "usable": pol.usable_bundles(), "cohorts": cohorts, } @@ -215,8 +214,8 @@ def config_json(cfg) -> dict: r = cfg.routing kind = type(r).__name__ routing: dict = {"kind": kind} - if kind == "Pinned": - routing["bundles"] = [sorted(b) for b in r.bundles] + if kind == "Global" and r.support is not None: + routing["support"] = sorted(r.support) elif kind == "CapacityAware": routing.update( flow_count=r.flow_count, @@ -236,7 +235,7 @@ def config_json(cfg) -> dict: else [r.diminishing.window, float(r.diminishing.fraction)], ) sel = cfg.selection - return { + out = { "routing": routing, "placement": cfg.placement, "admission": cfg.admission, @@ -249,6 +248,9 @@ def config_json(cfg) -> dict: "priority": sel.priority, }, } + if cfg.weights is not None: + out["weights"] = cfg.weights + return out def elig_json(elig): diff --git a/tests/reference/policy/p2_transaction/fixtures.py b/tests/reference/policy/p2_transaction/fixtures.py index 9bac435..05e26f7 100644 --- a/tests/reference/policy/p2_transaction/fixtures.py +++ b/tests/reference/policy/p2_transaction/fixtures.py @@ -5,8 +5,11 @@ stated in input coordinates; bundles and expected per-edge arrays are input positions translated through the inverse of ``input_index()``. Expected values are derived in the fixture text or bodies (round robin, highest averages, hand-traced -transactions), never read back from the engine. "Manual" owners are ``Pinned`` -policies with one bundle. +transactions), never read back from the engine. "Manual" owners are ``Global`` +policies whose support is one bundle (a controller restricted to it; step 3 converted the +former single-bundle ``Pinned`` MaxFlow owners by this rule: the same minimum-cost flow on the +same DAG). CostOnly Weighted configurations with the selection priority Residual take the +residual-snapshot weight basis (step 3: weights no longer come from the priority). Graph shapes (input positions): * ``diamond(s0, t0, s1, t1)``: 0 -[0]-> 1 -[1]-> 3 and 0 -[2]-> 2 -[3]-> 3; route 0 @@ -46,7 +49,6 @@ "creation_fewer_routes": "creation_fewer_routes", "creation_retry_after_release": "creation_retry_after_release", "eb_1_plus_2_vs_3": "eb_1_plus_2_vs_3", - "eb_three_members_g_1_1": "eb_correlated_remainders", "eb_unequal_1_10": "eb_unequal_1_10", "eight_versus_ten_capacity": "eight_versus_ten_capacity", "eight_versus_ten_headroom": "eight_versus_ten_headroom", @@ -65,9 +67,6 @@ "limits_diminishing": "limits_diminishing", "limits_max_flows_created": "limits_kmaxflowspercall", "lossy_diamond_10_then_1": "lossy_diamond_10_then_1", - "lossy_shared_ingress": "lossy_shared_ingress", - "pinned_bundle_rules": "pinned_bundle_rules", - "pinned_kernels_5_1": "pinned_kernels_5_1", "reopt_double_spend": "reopt_double_spend", "request_12_on_5_5": "request_12_on_5_5", "retention_third_party_removal": "retention_third_party_removal", @@ -136,7 +135,11 @@ def ca(kernel, priority="Capacity", fc=1, mx=None, reopt=False, sel=None, **kw): def co(kernel, adm=LOSSLESS, sel=None): - return P.FlowPolicyConfig(P.CostOnly(), kernel, adm, sel or search.Selection()) + sel = sel or search.Selection() + # By rule (step 3): Weighted with the Residual priority read its weights from the residual + # at preparation, which is the residual-snapshot weight basis. + weights = "ResidualSnapshot" if kernel == W and sel.priority == "Residual" else None + return P.FlowPolicyConfig(P.CostOnly(), kernel, adm, sel, weights) def glob(): @@ -160,17 +163,10 @@ def ledger(self, residual_input=None): return FlowGraph(self.g) return FlowGraph(self.g, [residual_input[p] for p in self.g.input_index()]) - def pin(self, kernel, bundles, adm=LOSSLESS, sel=None): - return P.FlowPolicyConfig( - P.Pinned(tuple(self.ids(b) for b in bundles)), - kernel, - adm, - sel or search.Selection(), - ) - def manual(self, fg, src, dst, positions, amount, label="manual owner"): - """A fixed-structure owner: a Pinned MaxFlow policy with one bundle.""" - pol = P.FlowPolicy(fg, src, dst, self.pin(MF, [positions])) + """A fixed-structure owner: Global with one bundle as its support.""" + cfg = P.FlowPolicyConfig(P.Global(self.ids(positions)), None, LOSSLESS, None) + pol = P.FlowPolicy(fg, src, dst, cfg) r = self.s.place(label, pol, amount, fg=fg) return pol, r @@ -474,13 +470,9 @@ def hidden_beneficial(s: PSnap): def _four_calls(s: PSnap, kernel, adm, expected): for shape, caps in (("equal", (5, 5)), ("unequal", (1, 10))): c = Ctx(s, f"diamond_{shape}", diamond(caps[0], caps[0], caps[1], caps[1])) - for mode in ("CostOnly", "Pinned"): + for mode in ("CostOnly",): fg = c.ledger() - cfg = ( - co(kernel, adm) - if mode == "CostOnly" - else c.pin(kernel, [[0, 1], [2, 3]], adm) - ) + cfg = co(kernel, adm) pol = P.FlowPolicy(fg, 0, 3, cfg) got = [ s.place(f"{shape} {mode} call {i}", pol, 1, fg=fg).placed @@ -494,7 +486,7 @@ def _four_calls(s: PSnap, kernel, adm, expected): "four_calls", ["8a", "16.4"], "MaxFlow, four calls of 1 on equal (5/5) and unequal (1/10) routes, one " - "CostOnly flow on the diamond and two Pinned flows: 1, 1, 1, 1.", + "CostOnly flow on the diamond: 1, 1, 1, 1.", ) def four_calls_mf(s: PSnap): _four_calls(s, MF, LOSSLESS, {"equal": [1] * 4, "unequal": [1] * 4}) @@ -611,44 +603,6 @@ def lossy_diamond(s: PSnap): s.expect("record", (rec.offered, rec.delivered, rec.drops), (11, 6, {tail: 5})) -@fixture( - "lossy_shared_ingress", - "lossy", - ["19", "16.6"], - "Two Pinned Lossy EB flows share an ingress of capacity 2 (tails 1 and 10): " - "requests 2 then 2 deliver 2 then 0 (the second offers are dropped on the full " - "ingress, complete); one request 4 delivers 1 (the first flow spends the ingress " - "on its 1-tail, the second flow's offer of 2 is dropped on the ingress). Not " - "additive (rule 19).", -) -def lossy_shared(s: PSnap): - c = Ctx( - s, - "shared_ingress", - (4, [(0, 1, 2, 1), (1, 3, 1, 1), (1, 2, 10, 1), (2, 3, 10, 1)]), - ) - bundles = [[0, 1], [0, 2, 3]] - fg = c.ledger() - pol = P.FlowPolicy(fg, 0, 3, c.pin(EB, bundles, LOSSY)) - a = s.place("request 2", pol, 2) - b = s.place("request 2 again", pol, 2) - s.expect( - "2 then 2", - ((a.placed, a.termination), (b.placed, b.termination)), - ((2, "complete"), (0, "complete")), - ) - fg2 = c.ledger() - pol2 = P.FlowPolicy(fg2, 0, 3, c.pin(EB, bundles, LOSSY)) - r = s.place("request 4", pol2, 4, fg=fg2) - s.expect("single 4", (r.placed, r.termination), (1, "complete")) - recs = pol2.records() - s.expect( - "records (offered, delivered, drops)", - [(x.offered, x.delivered, dict_to_input(c.g, x.drops)) for x in recs], - [(2, 1, [0, 1, 0, 0]), (2, 0, [2, 0, 0, 0])], - ) - - # ====================================================================== +inf @@ -876,50 +830,20 @@ def third_party(s: PSnap): # ====================================================================== cohorts in units -@fixture( - "eb_correlated_remainders", - "units", - ["16.5", "9.2"], - "Round-robin remainders correlate across flows sharing a split: three parallel " - "1-unit links. A Pinned EB flow on the three links places 3. Two Pinned bundles " - "that become equal after pruning (the second carries a dead branch) keep two " - "flows on the same split: T = 2 gives each flow its unit on the lowest-id link " - "(2 > 1), so the cohort places 1 (exact and feasible; no start rotation, " - "decided).", -) -def eb_correlated(s: PSnap): - c = Ctx( - s, - "parallel_1_dead", - (3, [(0, 1, 1, 1), (0, 1, 1, 1), (0, 1, 1, 1), (0, 2, 1, 1)]), - ) - fg = c.ledger() - r = s.place("one flow", P.FlowPolicy(fg, 0, 1, c.pin(EB, [[0, 1, 2]])), 3, fg=fg) - s.expect("one flow", (r.placed, r.termination), (3, "complete")) - fg = c.ledger() - pol = P.FlowPolicy(fg, 0, 1, c.pin(EB, [[0, 1, 2], [0, 1, 2, 3]])) - r = s.place("two flows on the same split", pol, 3, fg=fg) - s.expect( - "cohort", (r.placed, r.termination, c.shares(pol)), (1, "exhausted", [1, 0]) - ) - s.expect("routes equal after pruning", c.routes_of(pol), [[0, 1, 2], [0, 1, 2]]) - - @fixture( "eb_1_plus_2_vs_3", "units", ["16.4", "16.5"], "Three ample parallel links: EB place(1); place(2) equals place(3) exactly " - "([1, 1, 1]) for one CostOnly flow and for a Pinned cohort of three single-link " - "flows (round robin over the cohort in FlowId order).", + "([1, 1, 1]) for one CostOnly flow.", ) def eb_additivity(s: PSnap): c = Ctx(s, "parallel_10", parallel([10, 10, 10])) - for mode in ("CostOnly", "Pinned"): + for mode in ("CostOnly",): finals = [] for calls in ([1, 2], [3]): fg = c.ledger() - cfg = co(EB) if mode == "CostOnly" else c.pin(EB, [[0], [1], [2]]) + cfg = co(EB) pol = P.FlowPolicy(fg, 0, 1, cfg) got = [s.place(f"{mode} {v}", pol, v, fg=fg).placed for v in calls] s.expect(f"{mode} {calls}", got, calls) @@ -961,8 +885,7 @@ def weighted_additivity(s: PSnap): "links has the source in its roster and creates its zero-delivery record on " "the static support (exhausted: MaxFlow carries 0 there). No route: " "CapacityAware on a zero baseline has a static roster but no residual " - "route (no_route, no id consumed); Pinned with every bundle excluded " - "(usable_bundles 0, no_route).", + "route (no_route, no id consumed).", ) def admission(s: PSnap): c = Ctx(s, "diamond_5", diamond(5, 5, 5, 5)) @@ -1004,11 +927,6 @@ def admission(s: PSnap): s.expect( "CapacityAware no route", (r.termination, fgz.next_flow_id()), ("no_route", 0) ) - fgd = c.ledger() - elig = c.g.eligibility(excluded_edges=c.ids([0, 2])) - pd = P.FlowPolicy(fgd, 0, 3, c.pin(MF, [[0, 1], [2, 3]]), elig) - r = s.place("Pinned all down", pd, 1, fg=fgd) - s.expect("Pinned no route", (r.termination, pd.usable_bundles()), ("no_route", 0)) # ====================================================================== limits @@ -1020,8 +938,7 @@ def admission(s: PSnap): ["8b", "9.2", "9.4"], "kMaxFlowsPerCall is an engine constant (10,000); the fixture lowers the " "module's test hook to 3. Growth over five 1-unit links stops after 3 creations " - "(limit_flows, placed 3); a Pinned policy with 5 bundles still creates 5 flows " - "(the cap counts CapacityAware creations); two CapacityAware sources share one " + "(limit_flows, placed 3); two CapacityAware sources share one " "created counter: source 0 creates 3, source 1's creation is blocked by the cap " "(local limit_flows, nothing committed for it, no id consumed).", ) @@ -1039,10 +956,6 @@ def limits_created(s: PSnap): (r.placed, r.termination, len(pol.flow_ids())), (3, "limit_flows", 3), ) - fg = c.ledger() - pin = P.FlowPolicy(fg, 0, 1, c.pin(MF, [[i] for i in range(5)])) - r = s.place("Pinned 5 bundles", pin, 5, fg=fg) - s.expect("Pinned not capped", (r.placed, len(pin.flow_ids())), (5, 5)) c2 = Ctx(s, "two_sources", (3, [(0, 2, 1, 1)] * 4 + [(1, 2, 1, 1)] * 4)) fg = c2.ledger() two = P.FlowPolicy(fg, [0, 1], 2, ca(MF, priority="Residual")) @@ -1144,75 +1057,6 @@ def lifetime(s: PSnap): s.expect("reset clears orphans", (fg.records(), fg.next_flow_id()), ([], 3)) -# ====================================================================== Pinned - - -@fixture( - "pinned_kernels_5_1", - "pinned", - ["8a", "19", "16.5"], - "Pinned routes of capacity 5 and 1, request 8: MaxFlow 6 and Weighted 6 " - "(sequential fill, exhausted, remaining 2); EqualBalanced 3 (round robin over " - "the cohort: [2, 1]); Lossy 5 (offers [4, 4]: the 1-route carries 1 and drops 3 " - "on its first link; complete).", -) -def pinned_kernels(s: PSnap): - c = Ctx(s, "diamond_5_1", diamond(5, 5, 1, 1)) - for kernel, adm, placed, term in ( - (MF, LOSSLESS, 6, "exhausted"), - (W, LOSSLESS, 6, "exhausted"), - (EB, LOSSLESS, 3, "exhausted"), - (EB, LOSSY, 5, "complete"), - ): - fg = c.ledger() - pol = P.FlowPolicy(fg, 0, 3, c.pin(kernel, [[0, 1], [2, 3]], adm)) - r = s.place(f"{kernel}/{adm} request 8", pol, 8, fg=fg) - s.expect(f"{kernel}/{adm}", (r.placed, r.termination), (placed, term)) - if adm == LOSSY: - s.expect("Lossy drops", r.drops, [(c.ids([2])[0], 3)]) - - -@fixture( - "pinned_bundle_rules", - "pinned", - ["13", "12", "9.1"], - "Pinned rules: an empty list, duplicate bundles (pre-prune), a bundle without a " - "src -> dst walk and a source set are rejected; bundles that become equal after " - "pruning keep independent flows; a multi-walk DAG bundle with mixed costs " - "reports its minimum-cost walk as route_cost (3, not 4).", -) -def pinned_rules(s: PSnap): - c = Ctx( - s, - "mixed", - (4, [(0, 1, 5, 1), (1, 3, 5, 2), (0, 2, 5, 1), (2, 3, 5, 3), (0, 3, 5, 9)]), - ) - fg = c.ledger() - s.raises( - "empty list", - P.FlowPolicy, - fg, - 0, - 3, - P.FlowPolicyConfig(P.Pinned(()), MF, LOSSLESS, search.Selection()), - ) - s.raises("duplicate", P.FlowPolicy, fg, 0, 3, c.pin(MF, [[0, 1], [0, 1]])) - s.raises("malformed", P.FlowPolicy, fg, 0, 3, c.pin(MF, [[0, 2]])) - s.raises("source set", P.FlowPolicy, fg, [0, 1], 3, c.pin(MF, [[0, 1]])) - elig = c.g.eligibility(excluded_edges=c.ids([4])) - pol = P.FlowPolicy(fg, 0, 3, c.pin(MF, [[0, 1], [0, 1, 4]]), elig) - s.expect("two usable bundles", pol.usable_bundles(), 2) - s.place("request 1", pol, 1) - s.expect( - "independent flows on equal pruned routes", c.routes_of(pol), [[0, 1], [0, 1]] - ) - fg2 = c.ledger() - multi = P.FlowPolicy(fg2, 0, 3, c.pin(MF, [[0, 1, 2, 3]])) - s.place("multi-walk bundle", multi, 7, fg=fg2) - s.expect("route_cost is the min-cost walk", multi.records()[0].route_cost, 3) - s.expect("cheapest walk fills first", c.alloc(fg2), [5, 5, 2, 2, 0]) - - # ====================================================================== flags @@ -1309,15 +1153,15 @@ def flag_table(s: PSnap): ["9.4", "8"], "Revision-20 witness: a first place(1) on a static route whose unit another " "owner holds creates a zero-delivery record: routes_changed true, termination " - "exhausted, the record stays (CostOnly and Pinned); a second zero-delivery call " - "keeps the same ids and sets no flag (revision 21).", + "exhausted, the record stays (CostOnly); a second zero-delivery call keeps the same " + "ids and sets no flag (revision 21).", ) def flag_zero_delivery(s: PSnap): c = Ctx(s, "one_unit", parallel([1])) - for mode in ("CostOnly", "Pinned"): + for mode in ("CostOnly",): fg = c.ledger() c.manual(fg, 0, 1, [0], 1) - cfg = co(EB) if mode == "CostOnly" else c.pin(EB, [[0]]) + cfg = co(EB) pol = P.FlowPolicy(fg, 0, 1, cfg) r = s.place(f"{mode} place(1)", pol, 1, fg=fg) s.expect( @@ -1503,8 +1347,8 @@ def sources_inf(s: PSnap): "sources_limits_and_validation", "sources", ["13", "9.3"], - "Endpoint-set validation: Pinned with a source set, an empty source set and " - "overlapping sets are rejected; an excluded source is skipped from the roster " + "Endpoint-set validation: an empty source set and overlapping sets are " + "rejected; an excluded source is skipped from the roster " "(roster [1]); a source that does not reach a destination statically is not in " "the roster; three sources of a CostOnly policy create three records.", ) @@ -1515,7 +1359,6 @@ def sources_validation(s: PSnap): (5, [(0, 3, 5, 1), (1, 3, 5, 1), (2, 3, 5, 1), (4, 0, 1, 1)]), ) fg = c.ledger() - s.raises("Pinned source set", P.FlowPolicy, fg, [0, 1], 3, c.pin(MF, [[0]])) s.raises("empty source set", P.FlowPolicy, fg, [], 3, co(MF)) s.raises("overlap", P.FlowPolicy, fg, [0, 3], 3, co(MF)) elig = c.g.eligibility(excluded_nodes=[0]) diff --git a/tests/reference/policy/p2_transaction/policy.py b/tests/reference/policy/p2_transaction/policy.py index 3e01a1a..9d6922c 100644 --- a/tests/reference/policy/p2_transaction/policy.py +++ b/tests/reference/policy/p2_transaction/policy.py @@ -1,15 +1,15 @@ """The policy engine ``FlowPolicy`` in integer units (APPROACH revision 24, 8 and 9). -One placement engine for every routing mode: ``CostOnly``, ``CapacityAware``, -``Global`` and ``Pinned``, the kernels ``MaxFlow``, ``Weighted`` and +One placement engine for the routing modes ``CostOnly``, ``CapacityAware`` and +``Global`` (with or without a support), the kernels ``MaxFlow``, ``Weighted`` and ``EqualBalanced`` and the admissions ``Lossless`` and ``Lossy`` (prototype 1's kernels). The transaction of 9.2 runs per source (9.3) for ``CapacityAware``: the roster is fixed at construction (eligible sources that statically reach a destination, ascending NodeId), each source is offered the increment of its round-robin share of the cumulative request, and the stages run on the shared working residual ``W``; -``created`` is one counter per call; there is one commit. ``Pinned`` has one "source", -the policy. ``Global`` is a replacement kernel over the whole eligible graph with the -canonical per-source decomposition. Local outcomes, the termination reduction and the +``created`` is one counter per call; there is one commit. ``Global`` is a replacement +kernel over the whole eligible graph (or exactly over its support) with the canonical +per-source decomposition. Local outcomes, the termination reduction and the flag table follow 9.4 (revision 20: flags accumulate committed events). Epochs follow section 8. @@ -22,6 +22,15 @@ origin. The result has the 14.1 shape (``PlacementResult``); CapacityAware keeps its per-source reduction of local outcomes, every other model has the 14.2 termination. +Step 3 (contract r8, sections 4.1, 5.2, 8, 10.4; README "Programs and Global with a +support"): ``Pinned`` is gone from the reference (its programs are checked by the library's +own tests); ``Global(support)`` is the controller restricted to a supplied DAG, trimmed to the +walks from the sources to the allowed destinations; CostOnly Weighted takes its weights from a +weight basis (``weights``: capacity, or the residual snapshot at preparation) instead of the +selection's priority; the change flags of CostOnly and the controllers compare programs (a +CostOnly program is created at the epoch's first positive call; a controller's program is its +solve cut into paths, compared path by path, with the optimized origin's supplies). + Readings where the contract is silent are listed in ``NOTES.md`` (P-numbers). """ @@ -81,12 +90,7 @@ class CapacityAware: @dataclass(frozen=True) class Global: - pass - - -@dataclass(frozen=True) -class Pinned: - bundles: tuple[tuple[int, ...], ...] + support: tuple[int, ...] | None = None @dataclass(frozen=True) @@ -99,6 +103,9 @@ class FlowPolicyConfig: placement: str | None admission: str selection: search.Selection | None + weights: str | None = ( + None # CostOnly Weighted: "Capacity" (None) or "ResidualSnapshot" + ) @dataclass @@ -196,20 +203,21 @@ class Program: topo: list[int] -def make_program(g, kernel, roots, dsts, union, priority, view) -> Program: +def make_program(g, kernel, roots, dsts, union, basis, view) -> Program: + """Weighted weights by the weight basis (contract r8 5.2): the static capacity, or the free + capacity `view` at preparation (ResidualSnapshot).""" union = tuple(sorted(union)) + snapshot = basis == "ResidualSnapshot" if kernel != W_: cand = union - elif priority == "Residual": + elif snapshot: cand = tuple(e for e in union if view[e] >= 1) else: cand = tuple(e for e in union if g.capacity[e] >= 1) members = tuple(sorted({e for r in roots for e in K.prune(g, cand, r, dsts)})) weights = None if kernel == W_: - weights = { - e: (view[e] if priority == "Residual" else g.capacity[e]) for e in members - } + weights = {e: (view[e] if snapshot else g.capacity[e]) for e in members} out: dict[int, list[int]] = {} nodes = set(roots) | set(dsts) for e in members: @@ -320,7 +328,6 @@ class Flow: drops: dict[int, int] = field(default_factory=dict) new: bool = False seq: int = 0 - bundle_index: int | None = None def add_view(W: list[int], alloc: dict[int, int]) -> list[int]: @@ -387,6 +394,7 @@ def __init__( self._validate_cfg() self.mode = type(cfg.routing).__name__ self.kernel = MF if self.mode == "Global" else cfg.placement + self.support = cfg.routing.support if self.mode == "Global" else None self.admission = cfg.admission self.selection = cfg.selection or search.Selection() static = search.member_graph(g, elig, search.Selection()) @@ -394,10 +402,25 @@ def __init__( node_ok = (lambda v: True) if elig is None else (lambda v: elig.node_allowed[v]) self._dests_ok = tuple(d for d in self.destinations if node_ok(d)) self.baseline: dict[int, int | None] = {} - if self.mode == "Pinned": - self.bundles = self._validate_bundles() - self.usable = [(i, route) for i, route in enumerate(self._pruned) if route] - self.roster = [self.sources[0]] if self.usable else [] + if self.support is not None: + # The support trimmed to the walks from each allowed source to an allowed destination + # over its allowed edges; the roster is the sources that reach one inside it. + ok = [ + e + for e in check_dag_edges(g, self.support) + if elig is None or elig.edge_allowed[e] + ] + trimmed: set[int] = set() + roster = [] + for s in self.sources: + if not node_ok(s): + continue + part = K.prune(g, ok, s, self._dests_ok) + if part: + roster.append(s) + trimmed.update(part) + self.roster = roster + self.trimmed = tuple(sorted(trimmed)) else: roster = [] for s in self.sources: @@ -418,7 +441,7 @@ def __init__( def _validate_cfg(self) -> None: cfg = self.cfg r = cfg.routing - if not isinstance(r, (CostOnly, CapacityAware, Global, Pinned)): + if not isinstance(r, (CostOnly, CapacityAware, Global)): raise ContractError("unknown routing variant") if isinstance(r, Global): # Global takes no placement and no selection; a controller is lossless. @@ -430,7 +453,16 @@ def _validate_cfg(self) -> None: if cfg.placement is None: raise ContractError("placement is required") sel = cfg.selection or search.Selection() - K.check_kernel(cfg.placement, cfg.admission, sel.priority) + # Only CapacityAware's Weighted flows read their weights from the priority. + K.check_kernel( + cfg.placement, + cfg.admission, + sel.priority if isinstance(r, CapacityAware) else "Capacity", + ) + if cfg.weights is not None and not ( + isinstance(r, CostOnly) and cfg.placement == W_ + ): + raise ContractError("weights require CostOnly placement=WEIGHTED") if cfg.admission == LOSSY and isinstance(r, CapacityAware): raise ContractError("Lossy is rejected with CapacityAware") if ( @@ -454,30 +486,6 @@ def _validate_cfg(self) -> None: raise ContractError("diminishing.window >= 1") if not 0 < d.fraction < 1: raise ContractError("diminishing.fraction in (0, 1)") - if isinstance(r, Pinned): - if len(self.sources) != 1 or len(self.destinations) != 1: - raise ContractError("Pinned requires single endpoints") - - def _validate_bundles(self): - g = self.g - bundles = self.cfg.routing.bundles - if not bundles: - raise ContractError("an empty bundle list is rejected") - src, dst = self.sources[0], self.destinations[0] - seen = set() - out = [] - self._pruned = [] - for b in bundles: - edges = check_dag_edges(g, b) - if edges in seen: - raise ContractError("duplicate bundle (pre-prune)") - seen.add(edges) - if not K.prune(g, edges, src, (dst,)): - raise ContractError("malformed bundle: no src -> dst walk") - out.append(edges) - ok = [e for e in edges if self.elig is None or self.elig.edge_allowed[e]] - self._pruned.append(K.prune(g, ok, src, (dst,))) - return out # ------------------------------------------------------------ state @@ -491,6 +499,9 @@ def _reset_epoch(self) -> None: self.program: Program | None = None self.union: tuple[int, ...] = () self.curve: list[tuple[int, int]] = [] + # A controller's program (10.4): its paths (source, walk) and its weights (the paths' + # amounts, the optimized origin's supplies); None before the first solve. + self.paths: tuple | None = None def placed_demand(self) -> int: return sum(f.delivered for c in self.cohorts.values() for f in c) @@ -501,9 +512,6 @@ def records(self): def record(self, flow_id): return self.fg.record(flow_id) - def usable_bundles(self) -> int: - return len(self.usable) if self.mode == "Pinned" else 0 - def flow_ids(self) -> list[tuple[int, int]]: return sorted(f.flow_id for c in self.cohorts.values() for f in c) @@ -525,7 +533,6 @@ def state(self) -> dict: "delivered": f.delivered, "alloc": sorted(f.alloc.items()), "plan": f.plan.to_json(), - "bundle_index": f.bundle_index, } for f in c ] @@ -675,7 +682,7 @@ def place(self, volume, outputs: Outputs | None = None) -> PlacementResult: # The current state, every flag false; before the epoch's first positive call it is # all zeros (contract r8 10.3). Global reports its curve once prepared. r = PlacementResult(0, 0, "complete", False, False, []) - if self.mode == "Global" and self.prepared: + if self._dense_global() and self.prepared: r.cost_distribution = list(self.curve) return self._finish(r, outputs, None, controller) if not self.roster: @@ -701,7 +708,7 @@ def place(self, volume, outputs: Outputs | None = None) -> PlacementResult: else 0, trace={"roster": []}, ) - if self.mode == "Global": + if self._dense_global(): r.cost_distribution = [] if outputs.min_cut: r.min_cut = [] @@ -763,10 +770,14 @@ def _finish( result.residual = self.fg.residual() if outputs.bottleneck: result.bottleneck = self.fg.bottleneck(self.sources, self.elig) - if outputs.min_cut and self.mode == "Global" and sol is not None: + if outputs.min_cut and self._dense_global() and sol is not None: result.min_cut = sol.min_cut return result + def _dense_global(self) -> bool: + """Global over every eligible edge (no support): the curve and the cut.""" + return self.mode == "Global" and self.support is None + # ------------------------------------------------------------ CostOnly (step 2) def _prepare(self, W): @@ -811,7 +822,7 @@ def _place_pooled(self, req, outputs) -> PlacementResult: self.roster, self._dests_ok, union, - self.selection.priority, + self.cfg.weights or "Capacity", W, ) flows = {s: self._source_flow(s, routes[s], None) for s in self.roster} @@ -901,12 +912,14 @@ def fits(t): term = "complete" if req is not None else "exhausted" else: term = "complete" if req is not None and placed == req else "exhausted" + # The flags compare programs (10.4): the epoch's first call creates one (its routes and + # its weights); an increment changes neither. result = PlacementResult( placed, None if req is None else req - placed, term, created, - False, + created, call_drops, call_source_loss=source_loss, trace=trace, @@ -924,9 +937,10 @@ def _place_controller(self, req, outputs) -> PlacementResult: old = self.cohorts created = not old glob = self.mode == "Global" + dense = self._dense_global() trace: dict = {} if glob: - routes, union = None, None + routes, union = None, self.trimmed if not dense else None elif created: routes, union = self._prepare(W) trace["prepare"] = {s: list(routes[s]) for s in self.roster} @@ -937,21 +951,18 @@ def _place_controller(self, req, outputs) -> PlacementResult: V = add_view(W, own) P = self.placed_demand() cap = None if req is None else P + req - if glob: + if dense: sol = flowcore.solve(g, V, self.roster, self._dests_ok, cap, elig=self.elig) else: sol = flowcore.solve(g, V, self.roster, self._dests_ok, cap, edges=union) assert sol.placed >= P, "a controller call never reduces placed_demand()" - shares = self._decompose(sol) - changed = created + shares, paths = self._decompose(sol) new_cohorts: dict[int, list[Flow]] = {} for s in self.roster: alloc = shares[s] prev = old.get(s, [None])[0] if glob: route = tuple(sorted(alloc)) - if prev is not None and prev.route != route: - changed = True plan = K.Plan(MF, LOSSLESS, s, self._dests_ok, route, route, None) f = Flow( src=s, @@ -976,6 +987,23 @@ def _place_controller(self, req, outputs) -> PlacementResult: new_ids = fg._commit(self.owner, drafts) self._assign_ids(order, new_ids) self.cohorts = new_cohorts + # The program (10.4): the paths in decomposition order with their amounts, and the + # optimized origin's supplies (every roster source, zero included). No program and a + # program without a path are equal. + program = ( + tuple((s, walk) for s, walk, _ in paths), + ( + tuple(x for _, _, x in paths), + tuple(sol.supply.get(s, 0) for s in self.roster), + ), + ) + before = self.paths or ((), None) + if not before[0] and not program[0]: + routes_changed = weights_changed = False + else: + routes_changed = before[0] != program[0] + weights_changed = before[1] != program[1] + self.paths = program if not glob and created: self.union = union self.prepared = True @@ -984,7 +1012,7 @@ def _place_controller(self, req, outputs) -> PlacementResult: else: self.requested += req term = "complete" if req is not None and placed == req else "exhausted" - if glob: + if dense: trace.update( { "V": V, @@ -1010,22 +1038,24 @@ def _place_controller(self, req, outputs) -> PlacementResult: placed, None if req is None else req - placed, term, - changed, - False, + routes_changed, + weights_changed, [], - cost_distribution=list(sol.cost_distribution) if glob else None, + cost_distribution=list(sol.cost_distribution) if dense else None, trace=trace, ) return self._finish(result, outputs, sol, True) - def _decompose(self, sol) -> dict[int, dict[int, int]]: - """Canonical per-source decomposition (9.1): sources ascending; the smallest - EdgeId walk with positive remaining flow to the first destination reached, - saturated by min(walk bottleneck, remaining virtual supply).""" + def _decompose(self, sol): + """Canonical per-source decomposition (9.1, contract r8 4.1): sources ascending; the + smallest EdgeId walk with positive remaining flow to the first destination reached, + saturated by min(walk bottleneck, remaining virtual supply). Returns the per-source shares + and the paths (source, walk, amount) in that order.""" g = self.g remaining = dict(enumerate(sol.edge_flows)) dests = set(self._dests_ok) out: dict[int, dict[int, int]] = {} + paths: list[tuple[int, tuple[int, ...], int]] = [] for s in self.roster: mine: dict[int, int] = {} left = sol.supply.get(s, 0) @@ -1043,16 +1073,15 @@ def _decompose(self, sol) -> dict[int, dict[int, int]]: remaining[e] -= amount mine[e] = mine.get(e, 0) + amount left -= amount + paths.append((s, tuple(walk), amount)) out[s] = mine assert all(x == 0 for x in remaining.values()), "decomposition covers the flow" - return out + return out, paths # ------------------------------------------------------------ route-search modes def _offers(self, req) -> list[int | None]: k = len(self.roster) - if self.mode == "Pinned": - return [req] if req is None: return [None] * k old = round_robin(self.requested, k) @@ -1103,22 +1132,10 @@ def _place_flows(self, req, outputs) -> PlacementResult: assert placed >= 0 if req is not None: assert placed <= req - if self.mode == "CapacityAware": - outcomes = {st.src: self._local_outcome(st) for st in states} - unserved = [o for o in outcomes.values() if o != "complete"] - term = ( - max(unserved, key=OUTCOME_RANK.__getitem__) if unserved else "complete" - ) - else: - # Pinned, the contract's termination (r8 14.2): no member anywhere is - # no_active_weight; a Lossy finite offer is complete. - if not any(f.plan.members for st in states for f in st.flows): - term = "no_active_weight" - elif self.admission == LOSSY: - term = "complete" if req is not None else "exhausted" - else: - term = "complete" if req is not None and placed == req else "exhausted" - outcomes = {st.src: term for st in states} + outcomes = {st.src: self._local_outcome(st) for st in states} + unserved = [o for o in outcomes.values() if o != "complete"] + term = max(unserved, key=OUTCOME_RANK.__getitem__) if unserved else "complete" + trace = { "offers": { st.src: "inf" if st.offer is None else st.offer for st in states @@ -1160,68 +1177,59 @@ def _run_source(self, st: SourceState, ctx) -> None: self._stage1(st, ctx) if not st.flows: return - if self.mode == "CapacityAware" and self.cfg.routing.reoptimize: + if self.cfg.routing.reoptimize: self._stage2(st, ctx) - if self.admission == LOSSY: - self._stage3_lossy(st, ctx) - elif self.kernel == EB: + if self.kernel == EB: self._stage3_eb(st, ctx) else: self._stage3_seq(st, ctx) - if self.mode == "CapacityAware": - self._stage4(st, ctx) + self._stage4(st, ctx) # ---- stage 1 def _stage1(self, st: SourceState, ctx) -> None: W = ctx["W"] tr: dict = {} - if self.mode == "Pinned": - for i, route in self.usable: - f = self._new_flow(st.src, route, W, ctx) - f.bundle_index = i - st.flows.append(f) - tr["usable"] = [i for i, _ in self.usable] - else: - r = self.cfg.routing - S = list(W) - rem = st.offer - target = None - if self.kernel == EB and st.offer is not None: - target = (st.P + st.offer) // r.flow_count - tr.update(eb_target=target, reservations=[]) - budget = min(r.flow_count, MAX_FLOWS_PER_CALL - ctx["created"]) - stopped = False - for _ in range(budget): - route = self._search(st.src, S) - if route is None: - stopped = True - break - f = self._new_flow(st.src, route, S, ctx) - evals: list[int] = [] - bound = self._t_max(f, S, evals) - if self.kernel == EB: - t = bound if target is None else min(target, bound) - else: - t = bound if rem is None else min(rem, bound) - if rem is not None: - rem -= t - a = self._alloc(f, S, t) if t else {} - tr["reservations"].append( - { - "route": list(route), - "S": list(S), - "T_bound": bound, - "reserved": t, - } - ) - S = sub_view(S, a) - st.flows.append(f) - ctx["created"] += 1 - st.created_here += 1 - # the call-wide cap blocked (part of) the creation, not a missing route - st.capped = budget < r.flow_count and not stopped - tr["created_cap_blocked"] = st.capped + # CapacityAware (the only staged model). + r = self.cfg.routing + S = list(W) + rem = st.offer + target = None + if self.kernel == EB and st.offer is not None: + target = (st.P + st.offer) // r.flow_count + tr.update(eb_target=target, reservations=[]) + budget = min(r.flow_count, MAX_FLOWS_PER_CALL - ctx["created"]) + stopped = False + for _ in range(budget): + route = self._search(st.src, S) + if route is None: + stopped = True + break + f = self._new_flow(st.src, route, S, ctx) + evals: list[int] = [] + bound = self._t_max(f, S, evals) + if self.kernel == EB: + t = bound if target is None else min(target, bound) + else: + t = bound if rem is None else min(rem, bound) + if rem is not None: + rem -= t + a = self._alloc(f, S, t) if t else {} + tr["reservations"].append( + { + "route": list(route), + "S": list(S), + "T_bound": bound, + "reserved": t, + } + ) + S = sub_view(S, a) + st.flows.append(f) + ctx["created"] += 1 + st.created_here += 1 + # the call-wide cap blocked (part of) the creation, not a missing route + st.capped = budget < r.flow_count and not stopped + tr["created_cap_blocked"] = st.capped if st.flows: ctx["routes_changed"] = True st.trace["stage1"] = tr @@ -1318,42 +1326,6 @@ def _stage3_eb(self, st: SourceState, ctx) -> None: "shares": [f.T for f in flows], } - def _stage3_lossy(self, st: SourceState, ctx) -> None: - flows = st.flows - offers = ( - [None] * len(flows) - if st.offer is None - else round_robin(st.offer, len(flows)) - ) - injected = 0 - rows = [] - for f, offer in zip(flows, offers, strict=True): - call = K.lossy(self.g, f.plan, offer, ctx["W"]) - ctx["W"] = sub_view(ctx["W"], call.carried) - for e, x in call.carried.items(): - f.alloc[e] = f.alloc.get(e, 0) + x - for e, x in call.drops.items(): - f.drops[e] = f.drops.get(e, 0) + x - ctx["drops"][e] = ctx["drops"].get(e, 0) + x - f.offered = (f.offered or 0) + call.offered - f.delivered += call.delivered - injected += call.injected - ctx["offered"] += call.offered - ctx["source_loss"] += call.offered - call.injected - rows.append( - { - "offer": "inf" if offer is None else offer, - "offered": call.offered, - "delivered": call.delivered, - "carried": sorted(call.carried.items()), - "drops": sorted(call.drops.items()), - } - ) - st.trace["stage3"] = rows - st.trace["injected"] = injected - - # ---- stage 4 - def _stage4(self, st: SourceState, ctx) -> None: r = self.cfg.routing steps = [] diff --git a/tests/typing/invalid_client.py b/tests/typing/invalid_client.py index 9455607..9c5b18a 100644 --- a/tests/typing/invalid_client.py +++ b/tests/typing/invalid_client.py @@ -16,7 +16,7 @@ sel = ng.PathSelection(ng.EdgeTieBreak.DETERMINISTIC, ng.EdgePriority.CAPACITY) cfg = ng.FlowPolicyConfig(routing=ng.Global()) -# The nine result and factory classes have no constructor ("No constructor defined!"). +# The twelve result and factory classes have no constructor ("No constructor defined!"). ng.Eligibility() # expect: reportCallIssue ng.PredDAG() # expect: reportCallIssue ng.FlowRecord() # expect: reportCallIssue @@ -26,6 +26,9 @@ ng.SensitivityEntry() # expect: reportCallIssue ng.SensitivityResult() # expect: reportCallIssue ng.SpfResult() # expect: reportCallIssue +ng.ForwardingProgram() # expect: reportCallIssue +ng.Tunnel() # expect: reportCallIssue +ng.TunnelFlow() # expect: reportCallIssue # dtype mistakes: the capacities are an int64 array of ints. (NumPy's own stubs type an element # read arr[i] as Any, so "text: str = g.capacity_units()[0]" cannot be caught by any stub; an @@ -44,6 +47,8 @@ ng.to_units("1.5", 1.0) # expect: reportCallIssue, reportArgumentType # FlowPolicyConfig takes keywords only. ng.FlowPolicyConfig(ng.Global()) # expect: reportCallIssue +dag = ng.Path(g, [[0]]).to_dag() +ng.Pinned([dag]) # expect: reportArgumentType # Integer arrays serve as hops and pairs; float arrays do not. ng.Path(g, np.zeros((1, 1), dtype=np.float64)) # expect: reportArgumentType float_pairs = np.zeros((1, 2), dtype=np.float64) @@ -57,3 +62,4 @@ total = flows.sum() # expect: reportOptionalMemberAccess best = ng.capacity(g, 0, 1, ng.QueryOptions(cfg)) cost_total: int = best.total_cost # expect: reportAssignmentType +weights = best.program.source_weights # expect: reportOptionalMemberAccess diff --git a/tests/typing/valid_client.py b/tests/typing/valid_client.py index ff23db4..d9b673a 100644 --- a/tests/typing/valid_client.py +++ b/tests/typing/valid_client.py @@ -57,7 +57,6 @@ for c, p in ng.ksp(g, 0, 3, ng.KspOptions(2, sel, max_path_cost=ng.Absolute(9))): assert_type(c, int) hops: list[list[int]] = p.hops() - pinned = ng.Pinned([p.to_dag()]) same = ng.PredDAG.from_csr( g, dag.parent_offsets(), dag.parents(), np.asarray(dag.via_edges()) ) @@ -101,6 +100,44 @@ assert_type(row.admitted, int) assert_type(row.offered, int | None) +# Forwarding programs: built from routes (a Path or a PredDAG), exported by a policy, forwarded +# by Pinned under a mask and with black holes; the full-offer calls return results too. +route = ng.Route(0, ng.Path(g, [[0], [2]]), weight=np.int64(2)) +program = ng.ForwardingProgram.from_routes( + g, 0, [3], [ng.Route(0, full.dag), route], placement=ng.FlowPlacement.WEIGHTED +) +assert_type(program, ng.ForwardingProgram) +assert_type(program.tunnels, tuple[ng.Tunnel, ...]) +assert_type(program.source_weights, tuple[tuple[int, int], ...] | None) +for tunnel in program.tunnels: + assert_type(tunnel.edges, tuple[int, ...]) +pinned_cfg = ng.FlowPolicyConfig( + routing=ng.Pinned(program, black_holes=elig), admission=ng.Admission.LOSSY +) +replay = ng.FlowPolicy(ng.FlowLedger(g), 0, 3, pinned_cfg, g.eligibility()) +replaced = replay.replace(np.int64(4), outputs=None) +assert_type(replaced, ng.PlacementResult) +for tunnel_row in replaced.by_tunnel: + assert_type(tunnel_row, ng.TunnelFlow) + assert_type(tunnel_row.assigned, int) + assert_type(tunnel_row.status, ng.TunnelStatus) +exported = ng.FlowPolicy( + ng.FlowLedger(g), 0, 3, ng.FlowPolicyConfig(routing=ng.Global()) +) +assert_type(exported.evaluate(4).program, ng.ForwardingProgram | None) +exported.replace(4) +assert_type(exported.forward(float("inf"), black_holes=None), ng.PlacementResult) +weighted = ng.FlowPolicyConfig( + routing=ng.CostOnly(), + placement=ng.FlowPlacement.WEIGHTED, + weights=ng.WeightBasis.EXPLICIT, + edge_weights=np.array([1, 2, 1, 1], dtype=np.int64), +) +assert_type(weighted.edge_weights, tuple[int, ...] | None) +lossy_opts = ng.QueryOptions(pinned_cfg, offered=4) +assert_type(lossy_opts.offered, int | float | None) +assert_type(ng.capacity(g, 0, 3, lossy_opts).by_tunnel, tuple[ng.TunnelFlow, ...]) + # The evaluators, with optional arguments left out or None. Only CostOnly reads a cache; the # controllers' origin defaults to OPTIMIZED. cfg = ng.FlowPolicyConfig( From d856b9716f10290ea4616293fa59cdd21bf8f8a8 Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Mon, 19 Oct 2026 02:47:25 +0100 Subject: [PATCH 16/39] T1 tunnels, reservations kept apart from traffic, T0 removed CapacityAware is now T1: every head splits its design share over N strict tunnels, each set up by CSPF on the unreserved view and holding its whole request, or down. The tunnels form a forwarding program, so Lossless, Lossy, replay and stale forwarding all work on them. The ledger keeps carried traffic and strict reservations as two separate projections. The old growth model and its options, terminations and reference fixtures are gone. Timing against the previous step: 22 rows within -7 % to +1.5 %, identical results. Co-Authored-By: Claude Opus 5.5 --- .github/workflows/release.yml | 2 +- .github/workflows/tests.yml | 2 +- CHANGELOG.md | 107 +- CMakeLists.txt | 2 + README.md | 70 +- bindings/python/axes.cpp | 35 +- bindings/python/evaluators.cpp | 57 +- bindings/python/flow_ledger.cpp | 68 +- bindings/python/flow_policy.cpp | 104 +- bindings/python/flow_record.cpp | 15 +- bindings/python/hooks.cpp | 16 +- bindings/python/module.cpp | 10 +- bindings/python/placement_result.cpp | 89 +- bindings/python/policy_config.cpp | 45 +- bindings/python/program.cpp | 38 +- bindings/python/publication.hpp | 24 + bindings/python/registration.hpp | 2 +- bindings/python/routing.cpp | 128 +- bindings/python/search.cpp | 2 +- bindings/python/values.hpp | 7 + dev/cpp-tests.sh | 5 +- dev/perf/README.md | 3 +- dev/perf/aba_api.hpp | 90 +- dev/perf/aba_rows.hpp | 37 +- dev/run-checks.sh | 41 +- dev/stubs/check_clients.py | 2 +- dev/stubs/generate.py | 2 +- dev/stubs/overrides.pyi | 85 +- dev/stubs/test_generate.py | 2 +- docs/semantics.md | 506 +++-- include/netgraph/core/detail/forwarding.hpp | 12 +- include/netgraph/core/detail/kernels.hpp | 13 +- .../netgraph/core/detail/ledger_access.hpp | 15 +- .../netgraph/core/detail/policy_engine.hpp | 35 +- .../netgraph/core/detail/private_hooks.hpp | 19 +- include/netgraph/core/detail/program_data.hpp | 49 +- include/netgraph/core/detail/trace.hpp | 6 +- include/netgraph/core/detail/traversal.hpp | 14 +- include/netgraph/core/detail/tunnels.hpp | 38 + include/netgraph/core/evaluators.hpp | 42 +- include/netgraph/core/flow_ledger.hpp | 46 +- include/netgraph/core/flow_policy.hpp | 200 +- include/netgraph/core/flow_record.hpp | 11 +- include/netgraph/core/options.hpp | 30 +- include/netgraph/core/program.hpp | 41 +- python/netgraph_core/__init__.py | 13 +- python/netgraph_core/__init__.pyi | 473 +++-- src/evaluators.cpp | 78 +- src/flow_ledger.cpp | 139 +- src/flow_policy.cpp | 1202 +++--------- src/forwarding.cpp | 32 +- src/kernels.cpp | 2 +- src/program.cpp | 90 +- src/search.cpp | 24 +- src/tunnels_t1.cpp | 73 + tests/cpp/cost_only_creation_tests.cpp | 6 +- tests/cpp/flow_ledger_fault_tests.cpp | 81 +- tests/cpp/flow_ledger_tests.cpp | 83 +- tests/cpp/flow_policy_fault_tests.cpp | 299 ++- tests/cpp/flow_policy_fixture_tests.cpp | 184 +- tests/cpp/flow_policy_tests.cpp | 603 ++---- tests/cpp/kernels_tests.cpp | 4 +- tests/cpp/ksp_tests.cpp | 4 +- tests/cpp/pooled_origin_tests.cpp | 127 +- tests/cpp/program_tests.cpp | 308 ++- tests/cpp/search_tests.cpp | 39 +- tests/cpp/state_comparators.hpp | 57 +- tests/cpp/test_utils.hpp | 262 +++ tests/cpp/tunnels_t1_tests.cpp | 1661 +++++++++++++++++ tests/cpp/zero_capacity_tests.cpp | 128 +- tests/data/policy_fixtures.json | 2 +- tests/py/helpers.py | 17 +- tests/py/private_hooks.py | 2 +- tests/py/test_docs_examples.py | 2 +- tests/py/test_edge_amounts.py | 2 +- tests/py/test_flow_ledger.py | 5 +- tests/py/test_flow_policy.py | 348 +--- tests/py/test_flow_policy_fixtures.py | 149 +- tests/py/test_ledger_projections.py | 192 ++ tests/py/test_native_allocation.py | 2 +- tests/py/test_origin.py | 187 +- tests/py/test_pooled.py | 51 +- tests/py/test_programs.py | 240 +-- tests/py/test_public_surface.py | 149 +- tests/py/test_route_structures.py | 9 +- tests/py/test_tunnel_oracle.py | 217 +++ tests/py/test_tunnels_t1.py | 1417 ++++++++++++++ tests/py/test_zero_capacity.py | 58 +- tests/py/tunnel_oracle.py | 376 ++++ tests/reference/policy/README.md | 96 +- .../policy/export_policy_fixtures.py | 103 +- tests/reference/policy/p1_amount/kernels.py | 234 +-- tests/reference/policy/p1_amount/search.py | 72 - tests/reference/policy/p1_amount/units.py | 1 - .../policy/p2_transaction/fixtures.py | 903 +-------- .../reference/policy/p2_transaction/policy.py | 543 +----- tests/typing/invalid_client.py | 4 +- tests/typing/valid_client.py | 23 +- 98 files changed, 7972 insertions(+), 5571 deletions(-) create mode 100644 include/netgraph/core/detail/tunnels.hpp create mode 100644 src/tunnels_t1.cpp create mode 100644 tests/cpp/tunnels_t1_tests.cpp create mode 100644 tests/py/test_ledger_projections.py create mode 100644 tests/py/test_tunnel_oracle.py create mode 100644 tests/py/test_tunnels_t1.py create mode 100644 tests/py/tunnel_oracle.py diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index 04fe87b..caea445 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -83,7 +83,7 @@ jobs: CIBW_TEST_REQUIRES: "pytest==9.1.1" CIBW_TEST_COMMAND: "PYTHON=python bash {project}/dev/run-checks.sh pytest off -p no:cacheprovider" CIBW_TEST_COMMAND_WINDOWS: >- - python -c "import sys, _netgraph_core as m; sys.exit('the wheel carries the private hooks' if hasattr(m, '_max_flows_per_call') else 0)" + python -c "import sys, _netgraph_core as m; sys.exit('the wheel carries the private hooks' if hasattr(m, '_fail_native_allocation') else 0)" && python -m pytest {project}/tests/py -p no:cacheprovider CIBW_BEFORE_ALL_LINUX: "yum install -y libatomic || (apt-get update && apt-get install -y libatomic1) || apk add libatomic" diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index 9af2762..d7c41c9 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -42,7 +42,7 @@ jobs: # its own: PowerShell does not stop at a failing command inside one step. - name: Check the editable build carries the private hooks (Windows) if: runner.os == 'Windows' - run: python -c "import sys, _netgraph_core as m; sys.exit(0 if hasattr(m, '_max_flows_per_call') else 'the editable build lacks the private hooks')" + run: python -c "import sys, _netgraph_core as m; sys.exit(0 if hasattr(m, '_fail_native_allocation') else 'the editable build lacks the private hooks')" - name: Run Python tests (Windows) if: runner.os == 'Windows' run: python -m pytest tests/py/ -v diff --git a/CHANGELOG.md b/CHANGELOG.md index 1956a43..3ed2e01 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -30,18 +30,23 @@ engine. It replaces the 0.11 API. validation (shape, ranges, endpoints, duplicates, cycles, ascending via within a node); a DAG is stored over its member nodes and presents the CSR shape on demand. `Path(graph, hops)` with `to_dag()`. `PathSelection` (every field defaulted: `DETERMINISTIC`, `CAPACITY`, - `multipath=True`, `multi_edge=True`), `EdgeTieBreak` (`DETERMINISTIC`, `PREFER_HIGHER_PRIORITY`), + `multipath=None`, `multi_edge=True`; `multipath=None` is the model's natural shape, the DAG for + the searches and CostOnly, one path for a tunnel model, which rejects `True`), `EdgeTieBreak` (`DETERMINISTIC`, `PREFER_HIGHER_PRIORITY`), `EdgePriority` (`RESIDUAL`, `CAPACITY`, `HEADROOM`). -- **Ledger**: `FlowLedger(graph, residual=None)` (replacing 0.11's `FlowGraph`) is the integer - ledger: a baseline in units (validated within `[0, capacity_units]`), records as snapshots in - FlowId order (`records()`, `record(flow_id)` with `FlowId = (ledger uid, id)`, ids never - reused), `capacity_units()`, `residual()`, `allocated()`, `bottleneck(sources, elig)`, - `reset()` and `copy()` (both rejected while a policy is bound; `reset()` clears the records a - destroyed policy left behind). `FlowRecord` carries the flow's endpoints as sets, - admission, bundle (`PredDAG`), route cost, `offered` (Lossy only), delivery and - per-edge allocations and drops, and `entry` (the program entry a Pinned record carries); - counters are 128-bit (exact Python ints). Policies place and - remove flows; `reset()` replaces an unbound ledger's baseline and clears its records. +- **Ledger**: `FlowLedger(graph, residual=None, *, unreserved=None)` (replacing 0.11's + `FlowGraph`) is the integer ledger, in two projections that are never added: the carried + traffic (a service baseline `residual`; `allocated()`, `residual()`) and the strict holds of T1 + tunnels (a reservation baseline `unreserved`; `reserved()`, `unreserved()`), each baseline + validated within `[0, capacity_units]` (`unreserved` with the residual's messages under its own + name). Records as snapshots in FlowId order (`records()`, `record(flow_id)` with `FlowId = + (ledger uid, id)`, ids never reused), `capacity_units()`, `bottleneck(sources, elig)` (the + carried traffic only), `reset(residual=None, *, unreserved=None)` and `copy()` (both rejected + while a policy is bound; `reset()` clears the records and holds a destroyed policy left behind; + a copy keeps the holds). `FlowRecord` carries the flow's endpoints as sets, admission, bundle + (`PredDAG`), route cost, `offered` (Lossy only), delivery, per-edge allocations, drops and + `reserved_edges` (an up T1 tunnel's holds), and `entry` (the program entry a T1 or Pinned record + carries); counters are 128-bit (exact Python ints). Policies place, hold and remove; holds never + police traffic. - **Kernels**: `FlowPlacement` (`MAX_FLOW`, `WEIGHTED`, `EQUAL_BALANCED`) and `Admission` (`LOSSLESS`, `LOSSY`). `MAX_FLOW` re-solves the flow with the flow core on its route over the free capacity plus its own allocation; `WEIGHTED` splits in proportion to integer weights frozen when @@ -53,31 +58,53 @@ engine. It replaces the 0.11 API. - **Policies**: `FlowPolicy(ledger, sources, destinations, config, elig=None, cache=None)` is the one placement engine. `FlowPolicyConfig(*, routing, placement=None, admission=LOSSLESS, selection=None, origin=None, weights=None, edge_weights=None)` takes - keywords only; the routing is `CostOnly()`, `CapacityAware(...)` (flow count, an optional - maximum, an `Absolute` or `Stretch` cost ceiling, a minimum flow bandwidth in units, - reoptimisation, `DiminishingReturns(window, fraction)`), `Global(*, support=None)` (a support - restricts the controller to a DAG's edges) or `Pinned(program, *, black_holes=None)`; each - routing accepts the combinations of one table (placement required for CostOnly and - CapacityAware; `Origin.EQUAL` or `OPTIMIZED`; admission; selection; weights) and any other - raises `ValueError`, the first defect in a stated order. - `place(volume, outputs=None)` forwards CostOnly's pooled program, re-solves the controllers + keywords only; the routing is `CostOnly()`, `CapacityAware(Tunnels(N), *, max_path_cost=None, + min_unreserved_bandwidth=0)` (T1, below), `Global(*, support=None)` (a support restricts the + controller to a DAG's edges) or `Pinned(program, *, black_holes=None)`; each routing accepts the + combinations of one table (placement required for CostOnly and accepted by no other routing; + `Origin.EQUAL` or `OPTIMIZED`; admission; selection; weights) and any other raises + `ValueError`, the first defect in a stated order. + `place(volume, outputs=None)` forwards CostOnly's pooled program or re-solves the controllers (Global and CostOnly `MAX_FLOW`: the cumulative minimum-cost flow on the residual plus the - policy's own allocation, under either origin), or runs CapacityAware's per-source transaction - (creation, reoptimisation, amounts, growth; at most `MAX_FLOWS_PER_CALL` creations per call), - and returns `PlacementResult`: this call's `placed`, `remaining`, `delivery_delta`, - `call_drops`, `call_source_loss`, `termination` and flags; the demand's `requested`, + policy's own allocation, under either origin); T1 has no `place` (`T1 does not support + incremental placement`). Every call returns `PlacementResult`: this call's `placed`, + `remaining`, `delivery_delta`, `call_drops`, `call_source_loss`, `termination` and the flags + `routes_changed`, `weights_changed` and `reservations_changed`; the demand's `requested`, `offered`, `admitted`, `delivered`, `unadmitted`, `source_loss`, `drops`, `by_source` - (`SourceFlow` rows), `total_cost` and `cost_distribution`; and `edge_flows`, `residual`, - `bottleneck` and `min_cut` when requested through `OutputOptions`, `program` and `by_tunnel` - (`TunnelFlow` rows). A request of 0 is validated like any other. - `evaluate(offer)` (computes a whole new offer on the policy's released view and publishes - nothing), `replace(offer)` (the same, published: new records, a new epoch) and - `forward(offer, black_holes=None)` (a whole new offer over the installed program, no route - computation), `remove()`, `records()`, `record(flow_id)` (the policy's own records), - `placed_demand()` and `program` complete the policy. + (`SourceFlow` rows), `total_cost` and `cost_distribution`, `program`, `plan` (T1's + `TunnelPlan`: `count`, `design_demand`, `head_design`, `reserved_total`) and `by_tunnel` + (`TunnelFlow` rows); and `edge_flows`, `residual`, `bottleneck`, `reservation_edge_flows` and + `min_cut` when requested through `OutputOptions`. A request of 0 is validated like any other. + `evaluate(offer, *, design_demand=None)` (computes a whole new offer on the policy's released + view and publishes nothing), `replace(offer, *, design_demand=None)` (the same, published: new + records, a new epoch; `design_demand` is T1's design, `None` meaning the offer, rejected by the + other routings) and `forward(offer, black_holes=None)` (a whole new offer over the installed + program, no route computation, T1's holds kept), `remove()`, `records()`, `record(flow_id)` + (the policy's own records), `placed_demand()` and `program` complete the policy. +- **T1 tunnels**: `CapacityAware(Tunnels(N))` models distributed RSVP-TE head ends, with no + controller. A design volume D is split by round robin over the roster heads and each head's + share over its N tunnels; in round order (round `j`, heads ascending: entry index `j * H + i`) + each tunnel runs CSPF on the unreserved capacity (the ledger's, this policy's own holds + released, minus this setup's earlier tunnels): the allowed links with at least `max(request, + min_unreserved_bandwidth)` units (no filter for a request of 0 with a minimum of 0), then the + member rule with `multi_edge=False`, then the canonical single path on static costs with + priorities read on that view, then the cost ceiling (`Absolute` inclusive; `Stretch` relative to + the smallest static shortest cost over all roster heads, one pool baseline). A tunnel is `UP` + and holds its request on every link of its path, or down (`TunnelStatus.NO_BANDWIDTH`, + `COST_CEILING`) with no path and weight 0. Traffic enters by round robin over the heads and + then over each head's up tunnels; a head with no up tunnel loses its share. Its program lists + the tunnels with `status`, `requested` and `reserved` (`destination`, `edges` and `route_cost` + are `None` for a down tunnel); one record per entry; a `Pinned` replay keeps setup-down tunnels + down and books no hold. Evaluators require a finite `QueryOptions.design_demand` for T1 + (`capacity` evaluates the tunnels set up for it; `sensitivity` sets up again under each + deletion). Validation: `tunnel count must be in [1, 10000]`, `T1 requires an exact tunnel + count`, `T1 requires multipath=False`, `min_unreserved_bandwidth must be an integer in [0, + 2^62)`, `tunnel limit exceeded: heads x tunnels > 1073741823`, `T1 requires a finite + design demand`, ` does not accept design_demand` and `T1 capacity requires + design_demand`. - **Forwarding programs**: `ForwardingProgram`, the routes and integer weights of one demand (tunnels `Tunnel`, split routes) with its injection (equal sources, or the captured source - weights of an optimized controller). CostOnly and Global produce one (`policy.program`, + weights of an optimized controller). CostOnly, Global and T1 produce one (`policy.program`, `result.program`; the controllers decompose their solved flow into paths, also with one source); `ForwardingProgram.from_routes(graph, sources, destinations, routes, *, placement, weights, edge_weights, residual)` builds one from `Route(head, Path or PredDAG, *, weight=1)` @@ -128,7 +155,8 @@ engine. It replaces the 0.11 API. unchanged. `clear()` raises when frozen, and `thaw()` returns to building mode after the caller has joined every reader. - **Evaluators**: one options type, `QueryOptions(config, *, elig=None, cache=None, outputs=None, - offered=None)` (`offered`: the finite offer Pinned Lossy capacity requires); + design_demand=None, offered=None)` (`design_demand`: T1's design, required and finite; + `offered`: the finite offer T1 and Pinned Lossy capacity require); `capacity(graph, sources, destinations, opts)` (with `Global()` the exact maximum flow, its marginal cost curve and its minimum cut), `batch_capacity(graph, pairs, opts, per_pair_elig=None, workers=None)` (pair order; the lowest failing index raises; Pinned is rejected) and `sensitivity(graph, sources, @@ -153,8 +181,7 @@ engine. It replaces the 0.11 API. `Counter128`, `FlowRecord`), `flow_ledger.hpp`, `flow_policy.hpp`, `dag_cache.hpp`, `evaluators.hpp` and `search.hpp` (`spf`, `ksp`, `resolve_to_paths` and their options; the queue choice `SpfQueue { Auto, Heap }` is a C++-only trailing parameter of `spf`); each - compiles alone and includes no `detail/` header. Python spells the - creation cap `MAX_FLOWS_PER_CALL` (C++ `kMaxFlowsPerCall`). + compiles alone and includes no `detail/` header. - **Typing**: the package ships `__init__.pyi`, a type stub generated from the compiled module (pybind11-stubgen with reviewed overrides: exact integer and array types, NumPy result dtypes, optional values, and no constructor for the result classes the module refuses to @@ -192,8 +219,9 @@ engine. It replaces the 0.11 API. and gains the accounting of the demand (`requested`, `offered`, `admitted`, `delivered`, `unadmitted`, `source_loss`, epoch `drops`, `by_source`, `total_cost`, `delivery_delta`, `call_drops`, `call_source_loss`); its `drops` is now the epoch total per edge (this call's drops - are `call_drops`). New `Termination.NO_ACTIVE_WEIGHT` (routes exist but no member has a positive - weight); a controller whose maximum is 0 over existing routes ends `EXHAUSTED`, and a Lossy finite + are `call_drops`). New `Termination.NO_ACTIVE_WEIGHT` (the program has an entry with a path but no + head can use one: no member or entry of positive weight; a program whose tunnels are all down is + not this case); a controller whose maximum is 0 over existing routes ends `EXHAUSTED`, and a Lossy finite request `COMPLETE`. `min_cut` is requested by `OutputOptions(min_cut=True)` (no longer by `bottleneck`) and exists for optimized Global only; `cost_distribution` is `None` for equal Global and before an epoch's first positive call. CostOnly with several sources rejects `multipath=False` @@ -215,6 +243,11 @@ engine. It replaces the 0.11 API. `kEpsilon`, `constants.hpp`, and the profiling facility (the Python accessors, the C++ scopes and `NGRAPH_CORE_PROFILE`). - The hand-written typing module `netgraph_core/_docs.py`, replaced by the generated stub. +- The growth model of `CapacityAware` (replaced by T1's tunnels): its fields `flow_count`, + `max_flow_count`, `min_flow_bandwidth`, `reoptimize` and `diminishing`, `DiminishingReturns`, + the per-call creation cap `MAX_FLOWS_PER_CALL` (C++ `kMaxFlowsPerCall`), the terminations + `LIMIT_FLOWS` and `LIMIT_DIMINISHING` and the per-source reduction of outcomes; CapacityAware + takes no placement and no `WEIGHTED` priority weights any more. - The sensitivity entry status (`SensitivityStatus`, `SensitivityEntry.status` and `.reason`): Successful entries were always `EVALUATED`; `SensitivityEntry.loss` is now always an int, and a failed deletion fails the call. diff --git a/CMakeLists.txt b/CMakeLists.txt index ecf2300..385afc5 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -78,6 +78,7 @@ add_library(netgraph_core STATIC src/evaluators.cpp src/program.cpp src/forwarding.cpp + src/tunnels_t1.cpp ) target_include_directories(netgraph_core PUBLIC $ @@ -160,6 +161,7 @@ if(NETGRAPH_CORE_BUILD_TESTS) tests/cpp/zero_capacity_tests.cpp tests/cpp/pooled_origin_tests.cpp tests/cpp/program_tests.cpp + tests/cpp/tunnels_t1_tests.cpp ) target_compile_definitions(netgraph_core_tests PRIVATE NETGRAPH_CORE_TEST_DATA="${CMAKE_CURRENT_SOURCE_DIR}/tests/data") # Allocation-failure tests replace the global operator new: a separate executable. diff --git a/README.md b/README.md index ad5673b..c3daf9e 100644 --- a/README.md +++ b/README.md @@ -60,20 +60,24 @@ specified in [docs/semantics.md](docs/semantics.md). between the same two nodes; `cost()` is the sum over hops of the minimum member cost and `to_dag()` gives the equivalent `PredDAG`. -- **`PathSelection(tie_break=DETERMINISTIC, priority=CAPACITY, multipath=True, +- **`PathSelection(tie_break=DETERMINISTIC, priority=CAPACITY, multipath=None, multi_edge=True)`** with `EdgeTieBreak` and `EdgePriority`: the selection axes the searches and - policies read. + policies read (`multipath=None` is the model's natural shape: the DAG of equal-cost walks for + searches and CostOnly, one path for a tunnel). ### Ledger and kernels -- **`FlowLedger(graph, residual=None)`**: the integer ledger of one graph: a baseline - in units (replaced by `reset()`) and the records (`FlowRecord`: flow id, owner, endpoints, - admission, program entry, bundle, route cost, offered, delivered, per-edge allocation and drops) - of the flows placed on it. `allocated()` is the exact sum of the records and `residual()` - the baseline minus it; `bottleneck(sources)` lists the full edges leaving the set of nodes - the sources can still reach. `reset()` and `copy()` are rejected while a policy is bound - to the ledger. Policies place and remove flows; `reset()` replaces an unbound ledger's - baseline and clears its records. +- **`FlowLedger(graph, residual=None, *, unreserved=None)`**: the integer ledger of one graph, + in two projections that are never added: the carried traffic (a service baseline `residual`; + `allocated()` is the exact sum of the records' edges and `residual()` the baseline minus it) + and the strict holds of T1 tunnels (a reservation baseline `unreserved`; `reserved()` is the + sum of the records' holds and `unreserved()` the baseline minus it). Holds never police + traffic. The records (`FlowRecord`: flow id, owner, endpoints, admission, program entry, + bundle, route cost, offered, delivered, per-edge allocation, drops and holds) are the flows + placed on it; `bottleneck(sources)` lists the full edges leaving the set of nodes the sources + can still reach. `reset()` and `copy()` are rejected while a policy is bound to the ledger. + Policies place, hold and remove; `reset(residual=None, *, unreserved=None)` replaces an + unbound ledger's baselines and clears its records. - **Kernels**, the rules that spread one flow over its route (`FlowPlacement`: `MAX_FLOW`, `WEIGHTED`, `EQUAL_BALANCED`; `Admission`: `LOSSLESS`, `LOSSY`): `MAX_FLOW` re-solves the flow with the flow core on its DAG, over the free capacity plus its own allocation; `WEIGHTED` splits @@ -87,17 +91,20 @@ specified in [docs/semantics.md](docs/semantics.md). - **`FlowPolicy(ledger, sources, destinations, config, elig=None, cache=None)`**: the placement engine for one demand, bound to its ledger. `FlowPolicyConfig(*, routing, placement=None, admission=LOSSLESS, selection=None, origin=None, weights=None, edge_weights=None)` chooses the - routing, its kernel (required for CostOnly and CapacityAware), the admission, the path + routing, its kernel (required for CostOnly, taken by no other routing), the admission, the path selection (default `PathSelection()`), the weight basis of CostOnly `WEIGHTED` and the origin: `EQUAL` (every source sends the same round-robin share) or `OPTIMIZED` (a controller chooses how much enters where; the default of the controllers). The routing is one of: - `CostOnly()`: static shortest paths, as routers forward with an IGP such as OSPF; the sources of one demand are pooled (where their routes meet, a router splits their traffic once); with `MAX_FLOW`, a controller restricted to those paths; - - `CapacityAware(flow_count=1, max_flow_count=None, max_path_cost=None, min_flow_bandwidth=0, - reoptimize=False, diminishing=None)`: tunnels that each search the free capacity (CSPF), with - an `Absolute` or `Stretch` cost ceiling, a `DiminishingReturns(window, fraction)` guard, and at - most `MAX_FLOWS_PER_CALL` (10,000) new flows per call; + - `CapacityAware(Tunnels(N), max_path_cost=None, min_unreserved_bandwidth=0)` (T1): every + head sets up its own N strict-bandwidth tunnels, as RSVP-TE head ends do, with no controller: + a design volume is split equally over the heads and their tunnels, each tunnel runs CSPF (the + shortest path among the links with enough unreserved bandwidth, within an `Absolute` or + `Stretch` cost ceiling) and either comes up holding its request on every link or stays down + (`NO_BANDWIDTH`, `COST_CEILING`); traffic then enters equally at the heads and splits equally + over their up tunnels; - `Global(support=None)`: an ideal controller: the minimum-cost flow from all the policy's sources to its destinations, on the free capacity plus its own allocation, optionally only over the edges of a support DAG; @@ -105,22 +112,24 @@ specified in [docs/semantics.md](docs/semantics.md). nothing; the policy's Eligibility fails the tunnels it touches (their heads split over the survivors) and `black_holes` makes failed elements swallow what reaches them (stale forwarding). -- **`ForwardingProgram`**: the routes and integer weights of one demand. CostOnly and Global - produce one (`policy.program`, `result.program`; CapacityAware has none); `ForwardingProgram.from_routes(graph, +- **`ForwardingProgram`**: the routes and integer weights of one demand. CostOnly, Global and T1 + produce one (`policy.program`, `result.program`); `ForwardingProgram.from_routes(graph, sources, destinations, routes)` builds one from `Route(head, Path or PredDAG, weight=1)` entries. - **`place(volume, outputs=None)`** adds `volume` to the policy's request as one all-or-nothing step (CostOnly forwards over the program it prepares once per epoch; the controllers re-solve - what they already deliver plus this request; CapacityAware places source by source) and returns + what they already deliver plus this request; T1 has no `place`) and returns a `PlacementResult`: this call's `placed`, `remaining`, `delivery_delta`, `call_drops`, `call_source_loss`, `termination` and flags; the demand's `requested`, `offered`, `admitted`, `delivered`, `unadmitted`, `source_loss`, `drops`, per-source rows `by_source`, `total_cost` - (controllers), `cost_distribution` (optimized Global), the `program` and per-tunnel rows - `by_tunnel`; and, when requested through `OutputOptions`, `edge_flows`, `residual`, - `bottleneck` and `min_cut` (optimized Global). - `evaluate(offer)` computes a whole new offer without publishing it, `replace(offer)` publishes - it, `forward(offer, black_holes=None)` sends it over the installed program; `remove()` reverts - the policy's flows; `records()`, `record(flow_id)`, `placed_demand()` and `program` read its + (controllers), `cost_distribution` (optimized Global), the `program`, T1's `plan` and + `reservations_changed`, and per-tunnel rows `by_tunnel`; and, when requested through + `OutputOptions`, `edge_flows`, `residual`, `bottleneck`, `reservation_edge_flows` and `min_cut` + (optimized Global). + `evaluate(offer, design_demand=None)` computes a whole new offer without publishing it, + `replace(offer, design_demand=None)` publishes it (T1 sets its tunnels up for the design, + `None` meaning the offer), `forward(offer, black_holes=None)` sends it over the installed + program (T1 keeps its tunnels and holds); `remove()` reverts the policy's flows and holds; `records()`, `record(flow_id)`, `placed_demand()` and `program` read its state. - **Failure guarantee**: every public call either completes or raises one exception and leaves every ledger, policy, cache and scratch buffer as it was, whatever fails (validation, memory, a @@ -172,8 +181,9 @@ values. ### Evaluators All three take one options type, `QueryOptions(config, *, elig=None, cache=None, -outputs=None, offered=None)`. `capacity(graph, sources, destinations, opts)` is `place(+inf)` of a policy on a fresh ledger -(a Lossy Pinned policy places the finite `offered` instead); `Global()` gives the +outputs=None, design_demand=None, offered=None)`. `capacity(graph, sources, destinations, opts)` is `place(+inf)` of a policy on a fresh ledger +(a Lossy Pinned policy places the finite `offered` instead; T1 evaluates the tunnels it sets up +for the required finite `design_demand`, forwarding `+inf` or, Lossy, the finite `offered`); `Global()` gives the exact maximum flow with its marginal cost curve, and its minimum cut with `outputs=OutputOptions(min_cut=True)`. `batch_capacity(graph, pairs, opts, per_pair_elig=None, workers=None)` evaluates pairs in pair order (the lowest failing @@ -206,6 +216,14 @@ result = ngc.capacity(graph, 0, 3, ngc.QueryOptions(config)) print(ngc.as_float(result.placed, q)) # 15.0 print(result.cost_distribution) # [(2, 40960), (4, 20480)] print(result.total_cost) # 163840 + +# T1: two tunnels sized for 12; the second finds no path with 6 units unreserved. +t1 = ngc.FlowPolicyConfig(routing=ngc.CapacityAware(ngc.Tunnels(2)), admission=ngc.Admission.LOSSY) +policy = ngc.FlowPolicy(ngc.FlowLedger(graph), 0, 3, t1) +r = policy.replace(ngc.to_units(12.0, q), design_demand=ngc.to_units(12.0, q)) +print([t.status.name for t in r.program.tunnels]) # ['UP', 'NO_BANDWIDTH'] +print(ngc.as_float(r.placed, q)) # 10.0 +print(ngc.as_float(r.plan.reserved_total, q)) # 6.0 ``` ## Installation diff --git a/bindings/python/axes.cpp b/bindings/python/axes.cpp index 952db36..82210f0 100644 --- a/bindings/python/axes.cpp +++ b/bindings/python/axes.cpp @@ -1,5 +1,6 @@ // The enumerations of the placement, origin and selection axes, and PathSelection. #include +#include #include @@ -13,8 +14,8 @@ namespace netgraph::core::bindings { void register_axes(py::module_& m) { py::enum_(m, "FlowPlacement", - "How traffic spreads over the routes (CostOnly's kernel; CapacityAware's flows; the interior split\n" - "of supplied PredDAG routes, EQUAL_BALANCED or WEIGHTED).\n" + "How traffic spreads over the routes (CostOnly's kernel; the interior split of supplied PredDAG\n" + "routes, EQUAL_BALANCED or WEIGHTED).\n" "MAX_FLOW: the minimum-cost flow core over the routes (a controller restricted to them), re-solved\n" "over the free capacity plus the policy's own allocation (it may move its own earlier placement,\n" "never another's). WEIGHTED (WCMP, weighted-cost multipath): every node splits in proportion to\n" @@ -61,12 +62,12 @@ void register_axes(py::module_& m) { .value("PREFER_HIGHER_PRIORITY", EdgeTieBreak::PreferHigherPriority); py::enum_(m, "EdgePriority", - "The per-edge value PREFER_HIGHER_PRIORITY reads (single-path and parallel-member choices) and,\n" - "for CapacityAware's WEIGHTED flows, the value that decides which edges a flow uses and their\n" - "weights: RESIDUAL (residual units), CAPACITY (static capacity units), HEADROOM (residual /\n" - "capacity, compared exactly as a fraction, 0 on an edge of capacity 0; rejected with\n" - "CapacityAware's WEIGHTED). A search without a residual reads the static capacity as the residual:\n" - "RESIDUAL and CAPACITY read the capacity, HEADROOM 1 (0 on an edge of capacity 0).") + "The per-edge value PREFER_HIGHER_PRIORITY reads (single-path and parallel-member choices):\n" + "RESIDUAL (residual units), CAPACITY (static capacity units), HEADROOM (residual / capacity,\n" + "compared exactly as a fraction, 0 on an edge of capacity 0). A search without a residual reads\n" + "the static capacity as the residual: RESIDUAL and CAPACITY read the capacity, HEADROOM 1 (0 on\n" + "an edge of capacity 0). T1's CSPF reads its unreserved view U instead (RESIDUAL U, HEADROOM\n" + "U / capacity).") .value("RESIDUAL", EdgePriority::Residual) .value("CAPACITY", EdgePriority::Capacity) .value("HEADROOM", EdgePriority::Headroom); @@ -80,16 +81,19 @@ void register_axes(py::module_& m) { py::class_(m, "PathSelection", "The selection of a search or a policy: tie_break (DETERMINISTIC by default), priority\n" - "(CAPACITY by default); multipath = True keeps every equal-cost walk (the DAG), False the one\n" - "canonical single path; multi_edge = True keeps every eligible parallel member, False one per\n" - "(u, v) pair. A tie_break or priority outside its enumeration raises ValueError.") + "(CAPACITY by default); multipath None (the default) is the model's natural shape (every\n" + "equal-cost walk for searches and CostOnly, one path for a tunnel model), True every equal-cost\n" + "walk (the DAG; tunnel models reject it), False the one canonical single path; multi_edge = True\n" + "keeps every eligible parallel member, False one per (u, v) pair. A tie_break or priority\n" + "outside its enumeration raises ValueError.") // The constructor checks both enumerations (ValueError naming the field). - .def(py::init(), py::arg_v("tie_break", EdgeTieBreak::Deterministic, "EdgeTieBreak.DETERMINISTIC"), - py::arg_v("priority", EdgePriority::Capacity, "EdgePriority.CAPACITY"), py::arg("multipath") = true, py::arg("multi_edge") = true) + .def(py::init, bool>(), py::arg_v("tie_break", EdgeTieBreak::Deterministic, "EdgeTieBreak.DETERMINISTIC"), + py::arg_v("priority", EdgePriority::Capacity, "EdgePriority.CAPACITY"), py::arg("multipath") = py::none(), py::arg("multi_edge") = true) .def_readonly("tie_break", &PathSelection::tie_break, "the EdgeTieBreak") .def_readonly("priority", &PathSelection::priority, "the EdgePriority") .def_readonly("multipath", &PathSelection::multipath, - "True: every equal-cost walk (a DAG); False: the canonical single path") + "None: the model's natural shape; True: every equal-cost walk (a DAG); False: the canonical\n" + "single path") .def_readonly("multi_edge", &PathSelection::multi_edge, "True: every eligible parallel member; False: one member per (u, v) pair") .def("__eq__", [](const PathSelection& a, const py::object& b) { @@ -105,7 +109,8 @@ void register_axes(py::module_& m) { ", priority=" + (a.priority == EdgePriority::Residual ? "RESIDUAL" : (a.priority == EdgePriority::Capacity ? "CAPACITY" : "HEADROOM")) + - ", multipath=" + (a.multipath ? "True" : "False") + ", multi_edge=" + (a.multi_edge ? "True" : "False") + + ", multipath=" + (!a.multipath.has_value() ? "None" : *a.multipath ? "True" : "False") + + ", multi_edge=" + (a.multi_edge ? "True" : "False") + ")"; }); } diff --git a/bindings/python/evaluators.cpp b/bindings/python/evaluators.cpp index c308a13..901c6a0 100644 --- a/bindings/python/evaluators.cpp +++ b/bindings/python/evaluators.cpp @@ -38,10 +38,25 @@ struct PyQueryOptions { std::shared_ptr elig; std::shared_ptr cache; OutputOptions outputs; + std::optional> design_demand; std::optional> offered; - [[nodiscard]] QueryOptions native() const { return QueryOptions {config, elig.get(), cache.get(), outputs, offered}; } + [[nodiscard]] QueryOptions native() const { + return QueryOptions {config, elig.get(), cache.get(), outputs, design_demand, offered}; + } }; +// An optional amount option: None absent, else int units or float('inf') (the inner nullopt). +std::optional> amount_option(const py::object& obj, const char* text) { + if (obj.is_none()) return std::nullopt; + return units_or_inf(obj, text); +} + +py::object amount_or_none(const std::optional>& x) { + if (!x.has_value()) return py::none(); + if (!x->has_value()) return py::float_(std::numeric_limits::infinity()); + return py::int_(**x); +} + // workers: an explicit integer is passed through (validated by the evaluator); None takes the // environment default (detail::default_workers), and 1 whenever a cache is supplied (a building // cache has one writer; a frozen one is shared only when the caller asks for workers). @@ -60,18 +75,23 @@ void register_evaluators(py::module_& m) { py::class_(m, "QueryOptions", "The options of every evaluator (capacity, batch_capacity, sensitivity): the configuration,\n" "the static Eligibility (None: all allowed), the DagCache (None: private per worker), the\n" - "optional outputs of each result (sensitivity: of its baseline) and offered (int units or\n" - "float('inf'); None: absent), the offer of a Pinned LOSSY evaluation: required and finite\n" - "there; a LOSSLESS model rejects it (` LOSSLESS capacity does not accept offered`),\n" - "CostOnly LOSSY too (`CostOnly LOSSY capacity uses first-hop injection`).") + "optional outputs of each result (sensitivity: of its baseline), design_demand (int units or\n" + "float('inf'); None: absent): T1's design, always required and finite (`T1 capacity requires\n" + "design_demand`, `T1 requires a finite design demand`), rejected by every other model\n" + "(` does not accept design_demand`), and offered (int units or float('inf'); None:\n" + "absent), the offer of a T1 or Pinned LOSSY evaluation: required and finite there (` LOSSY capacity requires finite offered`); a LOSSLESS model rejects it (`\n" + "LOSSLESS capacity does not accept offered`), CostOnly LOSSY too (`CostOnly LOSSY capacity\n" + "uses first-hop injection`).") .def(py::init([](const FlowPolicyConfig& config, const std::shared_ptr& elig, - const std::shared_ptr& cache, const py::object& outputs, const py::object& offered) { - std::optional> o; - if (!offered.is_none()) o = units_or_inf(offered, "offered must be an integer in [0, 2^62) or permitted +inf"); - return PyQueryOptions {config, elig, cache, outputs_of(outputs), o}; + const std::shared_ptr& cache, const py::object& outputs, const py::object& design_demand, + const py::object& offered) { + auto d = amount_option(design_demand, "design_demand must be an integer in [0, 2^62) or permitted +inf"); + auto o = amount_option(offered, "offered must be an integer in [0, 2^62) or permitted +inf"); + return PyQueryOptions {config, elig, cache, outputs_of(outputs), d, o}; }), py::arg("config"), py::kw_only(), py::arg("elig") = nullptr, py::arg("cache") = nullptr, - py::arg("outputs") = py::none(), py::arg("offered") = py::none()) + py::arg("outputs") = py::none(), py::arg("design_demand") = py::none(), py::arg("offered") = py::none()) .def_readonly("config", &PyQueryOptions::config, "the FlowPolicyConfig of every evaluated policy (sensitivity: the baseline and every deletion)") .def_readonly("elig", &PyQueryOptions::elig, "the static Eligibility; None: everything allowed") @@ -79,13 +99,11 @@ void register_evaluators(py::module_& m) { .def_readonly("outputs", &PyQueryOptions::outputs, "the OutputOptions of every result (sensitivity: of the baseline)") .def_property_readonly( - "offered", - [](const PyQueryOptions& o) -> py::object { - if (!o.offered.has_value()) return py::none(); - if (!o.offered->has_value()) return py::float_(std::numeric_limits::infinity()); - return py::int_(**o.offered); - }, - "the offer of a Pinned LOSSY evaluation (int units, or float('inf')); None: absent"); + "design_demand", [](const PyQueryOptions& o) { return amount_or_none(o.design_demand); }, + "T1's design volume (int units, or float('inf')); None: absent") + .def_property_readonly( + "offered", [](const PyQueryOptions& o) { return amount_or_none(o.offered); }, + "the offer of a T1 or Pinned LOSSY evaluation (int units, or float('inf')); None: absent"); py::class_(m, "SensitivityEntry", "One candidate edge: edge and loss (int units: the baseline minus the capacity without the\n" @@ -99,8 +117,6 @@ void register_evaluators(py::module_& m) { .def_readonly("baseline", &SensitivityResult::baseline) .def_readonly("entries", &SensitivityResult::entries); - m.attr("MAX_FLOWS_PER_CALL") = py::int_(kMaxFlowsPerCall); - m.def( "capacity", [](const std::shared_ptr& graph, const py::object& sources, const py::object& destinations, @@ -123,7 +139,8 @@ void register_evaluators(py::module_& m) { }, py::arg("graph"), py::arg("sources"), py::arg("destinations"), py::arg("opts"), "place(+inf) of a FlowPolicy with opts.config on a fresh ledger of the graph (Pinned LOSSY:\n" - "place(opts.offered)) -> PlacementResult.\n" + "place(opts.offered); T1: evaluate(+inf or opts.offered, design_demand=opts.design_demand), the\n" + "lossless bound of the tunnels set up for the design, or what they deliver of offered) -> PlacementResult.\n" "The exact maximum flow is Global() (the optimized origin); with origin=EQUAL, the largest total whose\n" "round-robin source shares are all carried. A supplied frozen cache raises DagCacheMiss for an absent\n" "key, unchanged.\n" diff --git a/bindings/python/flow_ledger.cpp b/bindings/python/flow_ledger.cpp index 1db6a3a..4d83afa 100644 --- a/bindings/python/flow_ledger.cpp +++ b/bindings/python/flow_ledger.cpp @@ -22,20 +22,27 @@ namespace netgraph::core::bindings { void register_flow_ledger(py::module_& m) { [[maybe_unused]] auto ledger_class = py::class_>( m, "FlowLedger", - "The integer ledger of one graph: a baseline residual in units (replaced only by reset()) and the\n" - "records of the flows placed on it by policies (the ledger has no public placement or removal).\n" - "allocated() is the sum of every record's edges and residual() = baseline - allocated(), both\n" - "int64[E] snapshots. reset() and copy() are rejected while a policy is bound (a FlowPolicy built\n" - "on this ledger still exists).") - .def(py::init([](const std::shared_ptr& graph, const py::object& residual) { + "The integer ledger of one graph, in two projections that are never added: carried traffic (the\n" + "service baseline; allocated() is the sum of every record's edges and residual() = baseline -\n" + "allocated()) and the strict holds of T1 tunnels (the reservation baseline; reserved() is the sum of\n" + "every record's reserved_edges and unreserved() = reservation baseline - reserved()), all int64[E]\n" + "snapshots. Traffic may use bandwidth that is held: holds never police. The baselines are replaced\n" + "only by reset(); the records are the flows placed on it by policies (the ledger has no public\n" + "placement, removal or reservation). reset() and copy() are rejected while a policy is bound (a\n" + "FlowPolicy built on this ledger still exists).") + .def(py::init([](const std::shared_ptr& graph, const py::object& residual, const py::object& unreserved) { if (!graph) throw py::value_error("graph must be a Graph"); - if (residual.is_none()) return std::make_shared(graph); - const auto r = edge_units(residual, *graph, "residual"); - return std::make_shared(graph, r); + const auto caps = graph->capacity_units(); + const auto r = residual.is_none() ? std::vector(caps.begin(), caps.end()) + : edge_units(residual, *graph, "residual"); + const auto u = unreserved.is_none() ? std::vector(caps.begin(), caps.end()) + : edge_units(unreserved, *graph, "unreserved"); + return std::make_shared(graph, r, u); }), - py::arg("graph"), py::arg("residual") = py::none(), - "residual: the baseline as integer units, one entry per edge in [0, capacity_units[e]] (a\n" - "physical baseline goes through to_units first); None: the capacities. ValueError otherwise.") + py::arg("graph"), py::arg("residual") = py::none(), py::kw_only(), py::arg("unreserved") = py::none(), + "residual and unreserved: the service and reservation baselines as integer units, one entry per\n" + "edge in [0, capacity_units[e]] (a physical baseline goes through to_units first; residual checked\n" + "first); None: the capacities. ValueError otherwise.") .def("uid", &FlowLedger::uid, "process-unique ledger uid (the first half of every FlowId)") .def( "graph", [](const FlowLedger& fg) { return typed_shared(fg.graph()); }, @@ -50,10 +57,19 @@ void register_flow_ledger(py::module_& m) { .def( "allocated", [](const FlowLedger& fg) { return int64_array(fg.allocated()); }, "int64[E] snapshot: the sum of every record's edges") - .def("records", &FlowLedger::records, "live records as snapshots in FlowId order: those of bound policies and orphans (records left by a\n" - "policy destroyed without remove())") .def( - "record", [](const FlowLedger& fg, const py::object& flow_id) { return fg.record(flow_id_of(flow_id)); }, + "reserved", [](const FlowLedger& fg) { return int64_array(fg.reserved()); }, + "int64[E] snapshot: strict holds per edge (T1), the sum of every record's reserved_edges") + .def( + "unreserved", [](const FlowLedger& fg) { return int64_array(fg.unreserved()); }, + "int64[E] snapshot: reservation baseline minus strict holds, per edge") + .def( + "records", [](const FlowLedger& fg) { return list_of(fg.records()); }, + "live records as snapshots in FlowId order: those of bound policies and orphans (records left by a\n" + "policy destroyed without remove())") + .def( + "record", + [](const FlowLedger& fg, const py::object& flow_id) { return typed_object(fg.record(flow_id_of(flow_id))); }, py::arg("flow_id"), "one record by FlowId (ValueError for a FlowId of another ledger, a retired or an unknown id)") .def( @@ -68,20 +84,20 @@ void register_flow_ledger(py::module_& m) { "ascending EdgeId. It ignores the destinations, so it is not a source-destination cut.") .def( "reset", - [](FlowLedger& fg, const py::object& residual) { - if (residual.is_none()) { - fg.reset(); - return; - } - const auto r = edge_units(residual, *fg.graph(), "residual"); - fg.reset(r); + [](FlowLedger& fg, const py::object& residual, const py::object& unreserved) { + const auto caps = fg.capacity_units(); + const auto r = residual.is_none() ? std::vector(caps.begin(), caps.end()) + : edge_units(residual, *fg.graph(), "residual"); + const auto u = unreserved.is_none() ? std::vector(caps.begin(), caps.end()) + : edge_units(unreserved, *fg.graph(), "unreserved"); + fg.reset(r, u); }, - py::arg("residual") = py::none(), - "A new baseline (None: the capacities); orphaned records and their allocations are cleared\n" - "and their ids retired (ids are never reused). ValueError while a policy is bound.") + py::arg("residual") = py::none(), py::kw_only(), py::arg("unreserved") = py::none(), + "New baselines (None: the capacities); orphaned records with their allocations and holds are\n" + "cleared and their ids retired (ids are never reused). ValueError while a policy is bound.") .def( "copy", [](const FlowLedger& fg) { return std::make_shared(fg); }, - "a new ledger (new uid) with the same baseline and records, ids kept under the new uid;\n" + "a new ledger (new uid) with the same baselines, records and holds, ids kept under the new uid;\n" "ValueError while a policy is bound") .def("__copy__", [](const FlowLedger& fg) { return std::make_shared(fg); }) .def("__deepcopy__", [](const FlowLedger& fg, const py::object&) { return std::make_shared(fg); }, diff --git a/bindings/python/flow_policy.cpp b/bindings/python/flow_policy.cpp index 435fb87..0d1d439 100644 --- a/bindings/python/flow_policy.cpp +++ b/bindings/python/flow_policy.cpp @@ -42,6 +42,19 @@ std::optional request_units(const py::object& volume) { return units_or_inf(volume, "offer must be an integer in [0, 2^62) or permitted +inf"); } +// A design demand argument: None absent; float('inf') the inner nullopt; an integer passed on for +// the call's own checks in their order (one outside int64 as -1, outside the domain like it); any +// other value raises the domain text here (a conversion failure comes first). +std::optional> design_units(const py::object& design) { + constexpr const char* text = "design_demand must be an integer in [0, 2^62) or permitted +inf"; + if (design.is_none()) return std::nullopt; + if (is_bool(design) || !PyIndex_Check(design.ptr())) return units_or_inf(design, text); + const py::object idx = python_int(design, "design_demand"); + int overflow = 0; + const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); + return std::optional(overflow != 0 ? Amount {-1} : static_cast(v)); +} + // A black-hole set argument: an Eligibility or None (its graph is checked by the call). std::shared_ptr eligibility_or_none(const py::object& obj, const char* name) { if (obj.is_none()) return nullptr; @@ -59,17 +72,14 @@ py::dict state_obj(const FlowPolicy& policy) { const auto& pe = detail::PolicyAccess::engine(policy); py::dict out; const auto& r = pe.config.routing; - out["mode"] = std::holds_alternative(r) ? "CostOnly" - : std::holds_alternative(r) ? "CapacityAware" - : std::holds_alternative(r) ? "Global" - : "Pinned"; + out["mode"] = detail::model_name(r); out["roster"] = pe.roster; out["requested"] = counter_int(pe.epoch.requested); out["infinite"] = pe.epoch.infinite; out["placed_demand"] = policy.placed_demand(); py::dict cohorts; - // Per roster source its flows (Pinned: per program entry, keyed by the entry identifier). - const bool pinned = std::holds_alternative(r); + // Per roster source its flows (T1 and Pinned: per program entry, keyed by its position). + const bool per_entry = std::holds_alternative(r) || std::holds_alternative(r); for (std::size_t i = 0; i < pe.epoch.cohorts.size(); ++i) { py::list flows; for (const auto& s : pe.epoch.cohorts[i]) { @@ -77,22 +87,15 @@ py::dict state_obj(const FlowPolicy& policy) { py::dict f; f["flow_id"] = py::make_tuple(rec.flow_id.first, rec.flow_id.second); f["src"] = s.src; - if (s.plan) { - f["route"] = s.plan->route; - } else { - const auto edges = detail::PredDAGBuilder::ascending(*s.bundle); - f["route"] = std::vector(edges.begin(), edges.end()); - } - f["members"] = s.plan ? py::cast(s.plan->members) : py::object(py::none()); - f["weights"] = s.plan && s.plan->placement == FlowPlacement::Weighted ? py::cast(s.plan->weights) - : py::object(py::none()); + const auto edges = detail::PredDAGBuilder::ascending(*s.bundle); + f["route"] = std::vector(edges.begin(), edges.end()); f["T"] = rec.delivered; f["delivered"] = rec.delivered; f["alloc"] = pairs_list(rec.edges); f["entry"] = s.entry < 0 ? py::object(py::none()) : py::object(py::int_(s.entry)); flows.append(f); } - cohorts[py::int_(pinned ? static_cast(i) : static_cast(pe.roster[i]))] = flows; + cohorts[py::int_(per_entry ? static_cast(i) : static_cast(pe.roster[i]))] = flows; } out["cohorts"] = cohorts; return out; @@ -132,13 +135,14 @@ void register_flow_policy(py::module_& m) { "routing reads it, another model rejects it) belong to the ledger's graph; the policy keeps the\n" "ledger, elig and cache alive (a Pinned policy shares its program and black holes). The roster\n" "(the sources that statically reach an allowed destination, over allowed edges whatever their\n" - "capacity; Pinned: the program's heads that reach an allowed destination over its basis under elig)\n" - "is fixed here. Everything is validated before the policy binds, in this order: the endpoints, the\n" + "capacity, T1's heads; Pinned: the program's heads that reach an allowed destination over its basis\n" + "under elig) is fixed here. Everything is validated before the policy binds, in this order: the endpoints, the\n" "graph of elig, the program, the support, the cache and the black holes (`foreign Eligibility:\n" "built for another graph`, `program belongs to another graph`, `support belongs to another graph`,\n" "`foreign DagCache: bound to another graph`, `black_holes belongs to another graph`), the\n" - "configuration (FlowPolicyConfig's order), then the pooled single-path rule and a Pinned program's\n" - "endpoints (`program endpoints do not match policy endpoints`).") + "configuration (FlowPolicyConfig's order), then the pooled single-path rule, T1's tunnel limit\n" + "(`tunnel limit exceeded: heads x tunnels > 1073741823`) and a Pinned program's endpoints\n" + "(`program endpoints do not match policy endpoints`).") .def( "place", [](FlowPolicy& p, const py::object& volume, const py::object& outputs) { @@ -152,7 +156,8 @@ void register_flow_policy(py::module_& m) { return std::move(obj); }, py::arg("volume"), py::arg("outputs") = py::none(), - "Place volume (int units in [0, 2^62), or float('inf')) all or nothing -> PlacementResult.\n" + "Place volume (int units in [0, 2^62), or float('inf')) all or nothing -> PlacementResult. T1 raises\n" + "`T1 does not support incremental placement` (also for 0).\n" "Requests add up within an epoch (from construction, the last remove(), replace() or forward());\n" "after float('inf') any finite request is rejected, 0 included. A request of 0 places nothing and\n" "reports the current state. CostOnly prepares its program at the epoch's first positive request;\n" @@ -161,50 +166,61 @@ void register_flow_policy(py::module_& m) { "injections, each head splitting its increment afresh (earlier drops are not offered again); a\n" "controller re-solves admitted + volume. A LOSSY float('inf') is CostOnly's first-hop experiment;\n" "Pinned raises `LOSSY forwarding requires a finite offer`. outputs (OutputOptions; None: none)\n" - "requests edge_flows, residual, bottleneck and min_cut. Everything is validated before any change; a\n" + "requests edge_flows, residual, bottleneck, reservation_edge_flows and min_cut. Everything is\n" + "validated before any change; a\n" "failed call raises with the ledger and the policy unchanged. A solve of the flow core (Global,\n" "CostOnly MAX_FLOW, or a MAX_FLOW flow) on a network beyond its int32 numbering raises ValueError:\n" "more than INT32_MAX - 2 nodes, or more than 2^30 - 1 edges, sources and destinations together. A\n" "LOSSY forwarding whose losses wait on each other in a cycle raises ValueError when its rounds\n" "alternate between two states or reach the round limit, RuntimeError when the result's check fails.") .def("remove", &FlowPolicy::remove, - "revert every flow of the policy, retire the ids, clear the program, open a new epoch") + "revert every flow and hold of the policy, retire the ids, clear the program, open a new epoch") .def("placed_demand", &FlowPolicy::placed_demand, "the sum of delivered over the policy's live records") - .def("records", &FlowPolicy::records, "the policy's live records as snapshots in FlowId order") .def( - "record", [](const FlowPolicy& p, const py::object& flow_id) { return p.record(flow_id_of(flow_id)); }, + "records", [](const FlowPolicy& p) { return list_of(p.records()); }, + "the policy's live records as snapshots in FlowId order") + .def( + "record", + [](const FlowPolicy& p, const py::object& flow_id) { return typed_object(p.record(flow_id_of(flow_id))); }, py::arg("flow_id"), "one of the policy's live records by FlowId (ValueError for a FlowId of another ledger or policy, a\n" "retired or an unknown id)") .def( "evaluate", - [](const FlowPolicy& p, const py::object& offer, const py::object& outputs) { + [](const FlowPolicy& p, const py::object& offer, const py::object& design_demand, const py::object& outputs) { const auto v = request_units(offer); + const auto d = design_units(design_demand); const auto o = outputs_of(outputs); auto [obj, slot] = new_object(); - *slot = p.evaluate(v, o); + *slot = p.evaluate(v, d, o); return std::move(obj); }, - py::arg("offer"), py::kw_only(), py::arg("outputs") = py::none(), + py::arg("offer"), py::kw_only(), py::arg("design_demand") = py::none(), py::arg("outputs") = py::none(), "A full, independent computation and forwarding of offer (int units or float('inf')) from the\n" - "policy's own released view (the residual plus its own carried load), as replace would do it ->\n" - "PlacementResult (the computed program, the flags replace would set, the outputs of the evaluated\n" - "state); publishes nothing, creates no record and leaves the epoch as it was. LOSSY requires a\n" - "finite offer.") + "policy's own released view (the residual plus its own carried load; T1 sets up on the unreserved\n" + "capacity with its own holds released), as replace would do it -> PlacementResult (the computed\n" + "program and plan, the flags replace would set, the outputs of the evaluated state); publishes\n" + "nothing, creates no record, books no hold and leaves the epoch as it was. design_demand as for\n" + "replace. LOSSY requires a finite offer.") .def( "replace", - [](FlowPolicy& p, const py::object& offer, const py::object& outputs) { + [](FlowPolicy& p, const py::object& offer, const py::object& design_demand, const py::object& outputs) { const auto v = request_units(offer); + const auto d = design_units(design_demand); const auto o = outputs_of(outputs); auto [obj, slot] = new_object(); - *slot = p.replace(v, o); + *slot = p.replace(v, d, o); return std::move(obj); }, - py::arg("offer"), py::kw_only(), py::arg("outputs") = py::none(), + py::arg("offer"), py::kw_only(), py::arg("design_demand") = py::none(), py::arg("outputs") = py::none(), "Recompute from the policy's own released view and forward the full offer, published atomically ->\n" - "PlacementResult: the old records are retired (their ids never live again), new ones created, and a\n" - "new epoch starts at this offer (delivery may go down: delivery_delta). CostOnly prepares its routes\n" - "again; a controller re-solves; Pinned forwards its program. LOSSY requires a finite offer.") + "PlacementResult: the old records and holds are retired (their ids never live again), new ones\n" + "created, and a new epoch starts at this offer (delivery may go down: delivery_delta). CostOnly\n" + "prepares its routes again; a controller re-solves; T1 sets its tunnels up again for the design and\n" + "books their holds; Pinned forwards its program. design_demand (T1 only: int units, or\n" + "float('inf'), which T1 rejects; None: equal to the offer): T1 needs a finite design (`T1 requires a\n" + "finite design demand`); every other model raises ` does not accept design_demand`. In this\n" + "order: the offer, LOSSY's finite offer, then the design demand (the model, its domain, finiteness).") .def( "forward", [](FlowPolicy& p, const py::object& offer, const py::object& black_holes, const py::object& outputs) { @@ -218,19 +234,19 @@ void register_flow_policy(py::module_& m) { return std::move(obj); }, py::arg("offer"), py::kw_only(), py::arg("black_holes") = py::none(), py::arg("outputs") = py::none(), - "Forward a full new offer over the installed program, with no route computation, on the released\n" - "view -> PlacementResult; a new epoch like replace, the program kept (no flag). LOSSLESS admits the\n" + "Forward a full new offer over the installed program, with no route computation and no setup, on the\n" + "released view -> PlacementResult; a new epoch like replace, the program and T1's holds kept (no\n" + "flag; T1's records are recreated with the same reserved_edges). LOSSLESS admits the\n" "program's lossless bound up to the offer; LOSSY sends the offer. black_holes (an Eligibility of the\n" "graph): the nodes and edges it excludes are black holes for this call (stale forwarding: traffic\n" "reaching one is dropped there; a black-holed source loses its share). In this order: Pinned raises\n" - "`Pinned forwards with replace`; no installed program `forward requires an installed program`\n" - "(also CapacityAware); the offer; LOSSY +inf `LOSSY forwarding requires a finite offer`; black_holes\n" + "`Pinned forwards with replace`; no installed program `forward requires an installed program`;\n" + "the offer; LOSSY +inf `LOSSY forwarding requires a finite offer`; black_holes\n" "of another graph `black_holes belongs to another graph`.") .def_property_readonly( "program", [](const FlowPolicy& p) { return optional_shared(p.program()); }, - "the installed ForwardingProgram; None before the first preparation, after remove() and for\n" - "CapacityAware") + "the installed ForwardingProgram; None before the first preparation and after remove()") .def_property_readonly("config", &FlowPolicy::config, "the configuration as validated at construction, its absent origin and selection\n" "resolved to the model's defaults"); diff --git a/bindings/python/flow_record.cpp b/bindings/python/flow_record.cpp index 39f6bbb..9d1bf61 100644 --- a/bindings/python/flow_record.cpp +++ b/bindings/python/flow_record.cpp @@ -26,11 +26,12 @@ void register_flow_record(py::module_& m) { py::class_( m, "FlowRecord", "One flow of a ledger, as a snapshot: flow_id (ledger uid, id), owner (the policy's id),\n" - "sources, destinations, admission, entry (a Pinned policy's program entry, else None), bundle\n" + "sources, destinations, admission, entry (a T1 or Pinned policy's program entry, else None), bundle\n" "(PredDAG: the flow's route),\n" "route_cost (its minimum walk cost; None when empty), offered (Lossy only, else None),\n" - "delivered, edges [(EdgeId, units)] and drops [(EdgeId, units)] (cumulative, ascending\n" - "EdgeId). offered and the drops units are exact Python ints (they may exceed 64 bits).") + "delivered, edges [(EdgeId, units)] (carried load) and drops [(EdgeId, units)] (cumulative,\n" + "ascending EdgeId), reserved_edges [(EdgeId, units)] (T1's strict holds, ascending EdgeId). offered\n" + "and the drops units are exact Python ints (they may exceed 64 bits).") .def_property_readonly( "flow_id", [](const FlowRecord& r) { return py::make_tuple(r.flow_id.first, r.flow_id.second); }, "(ledger uid, id): ids are assigned in creation order and never reused in the ledger") @@ -39,8 +40,8 @@ void register_flow_record(py::module_& m) { .def_readonly("destinations", &FlowRecord::destinations, "the flow's destination node ids, ascending") .def_readonly("admission", &FlowRecord::admission, "LOSSLESS or LOSSY") .def_readonly("entry", &FlowRecord::entry, - "the program entry the record carries (a Pinned policy: the entry identifier); None for the\n" - "records kept per roster source (CostOnly, Global) or per flow (CapacityAware)") + "the program entry the record carries (T1 and Pinned: the entry identifier); None for the\n" + "records kept per roster source (CostOnly, Global)") .def_property_readonly( "bundle", [](const FlowRecord& r) { return typed_shared(r.bundle); }, "the flow's route (an immutable PredDAG shared with the ledger)") @@ -68,6 +69,10 @@ void register_flow_record(py::module_& m) { }, "Lossy: the units dropped per edge [(EdgeId, units)], summed over calls, positive entries in\n" "ascending EdgeId (exact ints); empty for a Lossless flow") + .def_property_readonly( + "reserved_edges", [](const FlowRecord& r) { return pairs_list(r.reserved_edges); }, + "T1: the strict holds of an up tunnel [(EdgeId, units)], its request on every link of its path,\n" + "ascending EdgeId; empty for every other record (holds never police traffic)") .def("__repr__", [](const FlowRecord& r) { return "FlowRecord(flow_id=(" + std::to_string(r.flow_id.first) + ", " + std::to_string(r.flow_id.second) + "), owner=" + std::to_string(r.owner) + ", delivered=" + std::to_string(r.delivered) + ")"; diff --git a/bindings/python/hooks.cpp b/bindings/python/hooks.cpp index 286bd40..9ce8a98 100644 --- a/bindings/python/hooks.cpp +++ b/bindings/python/hooks.cpp @@ -1,6 +1,5 @@ -// The private hooks (NETGRAPH_CORE_PRIVATE_HOOKS builds only): the test controls -// of the creation cap and of Python and native allocation failures, and the apportionment -// kernels. +// The private hooks (NETGRAPH_CORE_PRIVATE_HOOKS builds only): the test controls of Python and +// native allocation failures, and the apportionment kernels. #include #include #include @@ -120,17 +119,6 @@ void native_free(void* p) noexcept { } // namespace void register_private_hooks(py::module_& m) { - m.def( - "_max_flows_per_call", - [](const py::object& value) { - auto& cap = detail::max_flows_per_call(); - const auto old = cap.load(); - if (!value.is_none()) cap.store(integer_value(value, 0, kMaxFlowsPerCall, "max_flows_per_call")); - return old; - }, - py::arg("value") = py::none(), - "private test hook: the call-wide creation cap (MAX_FLOWS_PER_CALL by default); returns the old value"); - m.def( "_fail_python_allocation", [](const py::object& fn, const py::tuple& args, long k) { diff --git a/bindings/python/module.cpp b/bindings/python/module.cpp index fa608a2..098dca2 100644 --- a/bindings/python/module.cpp +++ b/bindings/python/module.cpp @@ -20,7 +20,7 @@ core's payload as a dict of Python ints and lists. - Amounts and counters cross as Python ints (exact, also beyond 64 bits); per-edge arrays as int64 NumPy arrays in EdgeId order; +inf is accepted only as a request (float('inf')). - - Python spells constants in UPPER_SNAKE_CASE: MAX_FLOWS_PER_CALL is the C++ kMaxFlowsPerCall. + - Python spells constants in UPPER_SNAKE_CASE: UNREACHABLE is the C++ kUnreachable. */ #include @@ -35,10 +35,10 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { "programs, the policy engine FlowPolicy, the DagCache, the evaluators (capacity, batch_capacity,\n" "sensitivity) and the searches (spf, ksp, resolve_to_paths).\n" "Every public call either completes or raises and leaves Core state as it was, with two limits:\n" - "(1) pybind11 does not check every allocation when it constructs a bound object from Python, or\n" - "converts an attribute or a returned value into a new Python object outside the library's checked\n" - "result construction; running out of memory exactly there may crash the process, with Core state\n" - "unchanged. (2) A DagCache passed to the call: a building one keeps the complete entries and\n" + "(1) pybind11 does not check every allocation when it constructs a bound object from Python, parses\n" + "the arguments of a call that passes keywords, or converts an attribute or a returned value into a\n" + "new Python object outside the library's checked result construction; running out of memory exactly\n" + "there may crash the process, with Core state unchanged. (2) A DagCache passed to the call: a building one keeps the complete entries and\n" "statistics of the lookups that succeeded before the call failed; a frozen one counts one miss\n" "when the call raised DagCacheMiss."; diff --git a/bindings/python/placement_result.cpp b/bindings/python/placement_result.cpp index 04c42c1..49da5d7 100644 --- a/bindings/python/placement_result.cpp +++ b/bindings/python/placement_result.cpp @@ -1,4 +1,4 @@ -// Termination, SourceFlow, TunnelFlow and PlacementResult: the outcome of one policy call. +// Termination, SourceFlow, TunnelFlow, TunnelPlan and PlacementResult: the outcome of one policy call. #include #include #include @@ -40,19 +40,14 @@ void register_placement_result(py::module_& m) { py::enum_(m, "Termination", "How a call ended, the first that applies: COMPLETE for a zero request; NO_ROUTE for a positive\n" "request with an empty roster (no eligible source statically reaches an allowed destination);\n" - "NO_ACTIVE_WEIGHT when routes exist but none has a positive weight (WEIGHTED over edges of\n" - "capacity 0 only); a LOSSY finite request: COMPLETE (delivery and losses account for the whole\n" - "offer, which does not mean nothing was lost); otherwise COMPLETE when the whole request was\n" - "delivered, else EXHAUSTED (an infinite request is EXHAUSTED). A controller whose maximum is 0\n" - "over existing routes is EXHAUSTED, not NO_ROUTE.\n" - "CapacityAware alone reduces per-source outcomes: a source is served when its offer is 0 or\n" - "delivered; an unserved source's outcome is LIMIT_FLOWS (creating or adding flows was stopped by\n" - "MAX_FLOWS_PER_CALL, or adding flows by a max_flow_count above flow_count), else\n" - "LIMIT_DIMINISHING (the diminishing guard), else NO_ROUTE (no flows), else EXHAUSTED; the call\n" - "takes the highest unserved outcome in that order, COMPLETE when every source is served.") + "NO_ACTIVE_WEIGHT when the program has an entry with a path (an up tunnel, a controller path or\n" + "a split route) but no head can use one (no positive weight: WEIGHTED over edges of capacity 0\n" + "only, routes of weight 0, every up tunnel failed); a program whose tunnels are all down is not\n" + "this case; a LOSSY finite request: COMPLETE (delivery and losses account for the whole offer,\n" + "which does not mean nothing was lost); otherwise COMPLETE when the whole request was delivered,\n" + "else EXHAUSTED (an infinite request is EXHAUSTED). A controller whose maximum is 0 over existing\n" + "routes is EXHAUSTED, not NO_ROUTE.") .value("COMPLETE", Termination::Complete) - .value("LIMIT_FLOWS", Termination::LimitFlows) - .value("LIMIT_DIMINISHING", Termination::LimitDiminishing) .value("NO_ROUTE", Termination::NoRoute) .value("EXHAUSTED", Termination::Exhausted) .value("NO_ACTIVE_WEIGHT", Termination::NoActiveWeight); @@ -83,12 +78,15 @@ void register_placement_result(py::module_& m) { py::class_(m, "TunnelFlow", "One program tunnel's forwarding in the epoch (read-only): index (its entry identifier) and\n" - "head, status (UP, FAILED, BLACKHOLED: TunnelStatus), assigned (its share of the injections:\n" - "LOSSY the shares sent to it, LOSSLESS what it carries), delivered and dropped (its losses on\n" - "links). Exact ints (assigned and dropped may exceed 64 bits).") + "head, status (TunnelStatus: UP; NO_BANDWIDTH or COST_CEILING for a tunnel T1's setup left\n" + "down; FAILED, BLACKHOLED in this forwarding), assigned (its share of the injections: LOSSY the\n" + "shares sent to it, LOSSLESS what it carries), delivered and dropped (its losses on links).\n" + "Exact ints (assigned and dropped may exceed 64 bits).") .def_readonly("index", &TunnelFlow::index, "the tunnel's entry identifier") .def_readonly("head", &TunnelFlow::head, "the tunnel's head") - .def_readonly("status", &TunnelFlow::status, "UP, FAILED or BLACKHOLED in this forwarding") + .def_readonly("status", &TunnelFlow::status, + "UP, a down tunnel's setup status (NO_BANDWIDTH, COST_CEILING), FAILED or BLACKHOLED in this\n" + "forwarding") .def_property_readonly( "assigned", [](const TunnelFlow& r) { return counter_int(r.assigned); }, "its share of the injections in the epoch (LOSSY: sent to it; LOSSLESS: what it carries)") @@ -99,15 +97,33 @@ void register_placement_result(py::module_& m) { return "TunnelFlow(index=" + std::to_string(r.index) + ", delivered=" + std::to_string(r.delivered) + ")"; }); + py::class_(m, "TunnelPlan", + "The tunnel models' setup summary (read-only): count (the tunnels per head), design_demand\n" + "(the design volume D in units), head_design ((head, RR(D, H, i)) for every roster head in\n" + "ascending NodeId) and reserved_total (T1's strict holds, counted once per up tunnel: the sum\n" + "of their requests). Exact ints.") + .def_readonly("count", &TunnelPlan::count, "the tunnels per head") + .def_property_readonly( + "design_demand", [](const TunnelPlan& p) { return inf_or(p.design_demand); }, + "the design volume D in units; float('inf') when unlimited") + .def_property_readonly( + "head_design", [](const TunnelPlan& p) { return pairs_tuple(p.head_design); }, + "((head, share), ...): every roster head's share RR(D, H, i), ascending NodeId") + .def_readonly("reserved_total", &TunnelPlan::reserved_total, + "the strict holds of the up tunnels, each tunnel's request counted once") + .def("__repr__", [](const TunnelPlan& p) { + return "TunnelPlan(count=" + std::to_string(p.count) + ", reserved_total=" + std::to_string(p.reserved_total) + ")"; + }); + py::class_( m, "PlacementResult", "The result of one call. This call: placed (units delivered by the call; replace, forward and\n" "evaluate: the full new delivery), remaining (request - placed; float('inf') for an infinite\n" "request), delivery_delta (new minus old delivery, may be negative), call_drops [(EdgeId, units)],\n" - "call_source_loss, termination, routes_changed and weights_changed. The demand's state after the call\n" - "(totals of the epoch): program (the installed ForwardingProgram; evaluate: the computed one; None\n" - "before the first preparation and for CapacityAware), requested (float('inf') after an infinite\n" - "request), offered (LOSSY: the traffic sent; None when LOSSLESS), admitted, delivered, unadmitted\n" + "call_source_loss, termination, routes_changed, weights_changed and reservations_changed. The\n" + "demand's state after the call (totals of the epoch): program (the installed ForwardingProgram;\n" + "evaluate: the computed one; None before the first preparation), plan (a TunnelPlan for T1; None for\n" + "every other model), requested (float('inf') after an infinite request), offered (LOSSY: the traffic sent; None when LOSSLESS), admitted, delivered, unadmitted\n" "(LOSSLESS: requested - delivered, None after an infinite request; LOSSY: 0), source_loss, drops\n" "[(EdgeId, units)], by_source (one SourceFlow per normalized input source, ascending NodeId),\n" "by_tunnel (one TunnelFlow per program tunnel, ascending index; an alternative view, never added to\n" @@ -115,8 +131,8 @@ void register_placement_result(py::module_& m) { "(unrestricted Global with the optimized origin only). LOSSY: offered = source_loss + sum(drops) +\n" "delivered. The rows sum to the totals, except for LOSSY with an empty roster, where the whole offer\n" "is the demand's source loss and every row is zero. Optional outputs, None unless requested:\n" - "edge_flows and residual (int64[E]), bottleneck, min_cut (they describe the same state; evaluate: the\n" - "evaluated one). Amounts that accumulate are exact ints (they may exceed 64 bits).") + "edge_flows, residual and reservation_edge_flows (int64[E]), bottleneck, min_cut (they describe the same\n" + "state; evaluate: the evaluated one). Amounts that accumulate are exact ints (they may exceed 64 bits).") .def_readonly("placed", &PlacementResult::placed, "the units placed (delivered) by this call") .def_property_readonly( "remaining", [](const PlacementResult& r) { return inf_or(r.remaining); }, @@ -133,18 +149,24 @@ void register_placement_result(py::module_& m) { .def_readonly("routes_changed", &PlacementResult::routes_changed, "True when the call's program differs from the installed one in its ordered heads, paths, split\n" "tables or duplicates (no program counts as the empty program; two programs without an entry\n" - "are equal); CapacityAware (no program): a flow was created (also at zero delivery), rerouted or\n" - "added. An offer-only change (forward, Pinned, CostOnly increments) and an identical replace set\n" - "nothing") + "are equal). An offer-only change (forward, Pinned, CostOnly increments) and an identical\n" + "replace set nothing") .def_readonly("weights_changed", &PlacementResult::weights_changed, "True when the call's program differs from the installed one in its injection (source weights)\n" - "or any entry or split-table weight (a controller's re-solve that changes a path's amount);\n" - "CapacityAware: a rerouted WEIGHTED flow captured new weights") + "or any entry or split-table weight (a controller's re-solve that changes a path's amount; an\n" + "absent entry weighs 0)") + .def_readonly("reservations_changed", &PlacementResult::reservations_changed, + "True when a tunnel's requested or reserved amount differs from the installed program's, by\n" + "index (an absent tunnel holds 0): only T1 sets it; forward and Pinned never do") .def_property_readonly( "program", [](const PlacementResult& r) { return optional_shared(r.program); }, "the installed ForwardingProgram after the call (evaluate: the computed one); None before the first\n" - "preparation and for CapacityAware") + "preparation") + .def_property_readonly( + "plan", [](const PlacementResult& r) { return optional_of(r.plan); }, + "T1: the TunnelPlan of the program after the call; None for every other model (Pinned over a T1\n" + "program too)") .def_property_readonly( "requested", [](const PlacementResult& r) -> py::object { @@ -178,7 +200,7 @@ void register_placement_result(py::module_& m) { .def_property_readonly( "total_cost", [](const PlacementResult& r) { return counter_or_none(r.total_cost); }, "controllers (Global, CostOnly MAX_FLOW): the exact sum of cost * flow over the policy's\n" - "allocation; None for the other models") + "allocation; None for the other models (T1, Pinned)") .def_readonly("cost_distribution", &PlacementResult::cost_distribution, "unrestricted Global with the optimized origin: the marginal cost curve [(cost, units)] of the policy's\n" "cumulative flow (a zero call reports it unchanged; None before the epoch's first positive\n" @@ -198,6 +220,13 @@ void register_placement_result(py::module_& m) { return r.residual ? py::object(int64_array(*r.residual)) : py::object(py::none()); }, "if requested: the ledger's residual after the call (int64[E], EdgeId order), else None") + .def_property_readonly( + "reservation_edge_flows", + [](const PlacementResult& r) -> py::object { + return r.reservation_edge_flows ? py::object(int64_array(*r.reservation_edge_flows)) : py::object(py::none()); + }, + "if requested: the policy's own strict holds per edge after the call (int64[E], EdgeId order; zeros\n" + "for a model without holds), else None") .def_readonly("bottleneck", &PlacementResult::bottleneck, "if requested: the ledger's saturation report after the call (FlowLedger.bottleneck of the\n" "policy's sources and Eligibility), else None") diff --git a/bindings/python/policy_config.cpp b/bindings/python/policy_config.cpp index 4141337..99af587 100644 --- a/bindings/python/policy_config.cpp +++ b/bindings/python/policy_config.cpp @@ -38,19 +38,21 @@ py::object routing_obj(const Routing& r) { void register_policy_config(py::module_& m) { py::class_( m, "FlowPolicyConfig", - "One demand's settings: routing (CostOnly, CapacityAware, Global or Pinned), placement\n" - "(FlowPlacement: required for CostOnly and CapacityAware; Global and Pinned take none), admission\n" - "(LOSSLESS by default), selection (PathSelection; None: PathSelection(); Global and Pinned take\n" - "none), origin (Origin; None: the model's default, EQUAL for CostOnly EQUAL_BALANCED and WEIGHTED and\n" - "for CapacityAware, OPTIMIZED for CostOnly MAX_FLOW and Global; Pinned takes none, its program has\n" - "it), weights (WeightBasis, CostOnly WEIGHTED only; None: CAPACITY) and edge_weights (one integer per\n" - "edge, given exactly when weights=EXPLICIT; one array shared by every policy built from this\n" + "One demand's settings: routing (CostOnly, CapacityAware (T1), Global or Pinned), placement\n" + "(FlowPlacement: required for CostOnly; the other models take none), admission (LOSSLESS by\n" + "default; LOSSY for CostOnly EQUAL_BALANCED and WEIGHTED, T1 and Pinned), selection (PathSelection;\n" + "None: PathSelection(); Global and Pinned take none; T1 reads tie_break, priority and multi_edge and\n" + "rejects multipath=True), origin (Origin; None: the model's default, EQUAL for CostOnly EQUAL_BALANCED\n" + "and WEIGHTED and for T1, OPTIMIZED for CostOnly MAX_FLOW and Global; Pinned takes none, its program\n" + "has it), weights (WeightBasis, CostOnly WEIGHTED only; None: CAPACITY) and edge_weights (one integer\n" + "per edge, given exactly when weights=EXPLICIT; one array shared by every policy built from this\n" "configuration). A field that does not apply to the model must stay None. The combination is checked\n" "when a policy or an evaluator uses the configuration (ValueError): the enumeration values, then the\n" - "model's row (placement, origin, admission, selection, weights with edge_weights), then a DagCache\n" - "(only CostOnly reads one), then CapacityAware's parameters, then edge_weights' length and entries,\n" - "then the pooled single-path rule (CostOnly with several input sources rejects multipath=False with\n" - "PREFER_HIGHER_PRIORITY).") + "model's row (T1: an up_to count first; then placement, origin, admission, selection, weights with\n" + "edge_weights), then a DagCache (only CostOnly reads one), then T1's parameters (the tunnel count in\n" + "[1, 10000], max_path_cost, min_unreserved_bandwidth), then edge_weights' length and entries, then the\n" + "roster and count rules (CostOnly with several input sources rejects multipath=False with\n" + "PREFER_HIGHER_PRIORITY; T1's roster heads times its tunnel count at most 2^30 - 1).") .def(py::init([](const py::object& routing, std::optional placement, Admission admission, std::optional selection, std::optional origin, std::optional weights, const py::object& edge_weights) { @@ -95,13 +97,26 @@ void register_policy_config(py::module_& m) { py::class_(m, "OutputOptions", "Optional outputs of a placement (all false by default; absent outputs are None):\n" "edge_flows (the policy's own allocation per edge after the call), residual and\n" - "bottleneck (the ledger's after the call), and min_cut (Global with the optimized origin,\n" - "when its solve reached the maximum flow; None for every other model, origin or call).") - .def(py::init(), py::kw_only(), py::arg("edge_flows") = false, - py::arg("residual") = false, py::arg("bottleneck") = false, py::arg("min_cut") = false) + "bottleneck (the ledger's after the call), reservation_edge_flows (the policy's own strict\n" + "holds per edge after the call; zeros for a model without holds), and min_cut (Global with\n" + "the optimized origin, when its solve reached the maximum flow; None for every other\n" + "model, origin or call).") + .def(py::init([](bool edge_flows, bool residual, bool bottleneck, bool reservation_edge_flows, bool min_cut) { + OutputOptions o; + o.edge_flows = edge_flows; + o.residual = residual; + o.bottleneck = bottleneck; + o.reservation_edge_flows = reservation_edge_flows; + o.min_cut = min_cut; + return o; + }), + py::kw_only(), py::arg("edge_flows") = false, py::arg("residual") = false, py::arg("bottleneck") = false, + py::arg("reservation_edge_flows") = false, py::arg("min_cut") = false) .def_readonly("edge_flows", &OutputOptions::edge_flows, "request PlacementResult.edge_flows") .def_readonly("residual", &OutputOptions::residual, "request PlacementResult.residual") .def_readonly("bottleneck", &OutputOptions::bottleneck, "request PlacementResult.bottleneck") + .def_readonly("reservation_edge_flows", &OutputOptions::reservation_edge_flows, + "request PlacementResult.reservation_edge_flows") .def_readonly("min_cut", &OutputOptions::min_cut, "request PlacementResult.min_cut"); } diff --git a/bindings/python/program.cpp b/bindings/python/program.cpp index cd219c0..07df988 100644 --- a/bindings/python/program.cpp +++ b/bindings/python/program.cpp @@ -52,28 +52,42 @@ std::optional wide_or_none(const py::object& obj, const char* name) { void register_program(py::module_& m) { py::enum_(m, "TunnelStatus", - "A tunnel's state in one forwarding (a by_tunnel row). UP; FAILED: its path touches a node or\n" - "an edge the forwarding policy's Eligibility excludes, so it gets nothing and its head splits over\n" - "its other entries (replay); BLACKHOLED: up, but its path reaches a black hole of stale\n" - "forwarding, where its traffic is dropped. A program's own tunnels are all up.") + "A tunnel's state. UP; NO_BANDWIDTH and COST_CEILING: T1's setup left it down (no path passes\n" + "the bandwidth filter, or the cheapest exceeds the cost ceiling): no path, weight 0, and it\n" + "stays down in every forwarding of its program; and in one forwarding only (a by_tunnel row)\n" + "FAILED: its path touches a node or an edge the forwarding policy's Eligibility excludes, so it\n" + "gets nothing and its head splits over its other entries (replay), and BLACKHOLED: up, but its\n" + "path reaches a black hole of stale forwarding, where its traffic is dropped.") .value("UP", TunnelStatus::Up) + .value("NO_BANDWIDTH", TunnelStatus::NoBandwidth) + .value("COST_CEILING", TunnelStatus::CostCeiling) .value("FAILED", TunnelStatus::Failed) .value("BLACKHOLED", TunnelStatus::Blackholed); py::class_(m, "Tunnel", - "One tunnel (a path entry) of a ForwardingProgram, read-only. index: the entry identifier\n" - "(Global and CostOnly MAX_FLOW: the path's position in the decomposition order; supplied routes:\n" - "the route's position in the list), never a position in program.tunnels; head; local_index: its\n" - "position among the head's entries of both kinds; destination: where its path ends; edges: its\n" - "EdgeIds in path order; route_cost: the sum of their costs; weight: its integer share among the\n" - "head's entries (a controller path: its solved amount).") + "One tunnel (a path entry) of a ForwardingProgram, read-only. index: the entry identifier (T1:\n" + "j*H + i for round j and roster position i; Global and CostOnly MAX_FLOW: the path's position in\n" + "the decomposition order; supplied routes: the route's position in the list), never a position in\n" + "program.tunnels; head; local_index: its position among the head's entries of both kinds;\n" + "destination: where its path ends; edges: its EdgeIds in path order; route_cost: the sum of their\n" + "costs (all three None for a tunnel that is down); status: UP, NO_BANDWIDTH or COST_CEILING;\n" + "requested and reserved: T1's strict bandwidth (its request, and what it holds on every link of\n" + "its path: the request when UP, else 0; 0 for the other models); weight: its integer share among\n" + "the head's entries (T1: 1 up, 0 down; a controller path: its solved amount).") .def_readonly("index", &Tunnel::index) .def_readonly("head", &Tunnel::head) .def_readonly("local_index", &Tunnel::local_index) .def_readonly("destination", &Tunnel::destination) .def_property_readonly( - "edges", [](const Tunnel& t) { return py::tuple(py::cast(t.edges)); }, "the path's EdgeIds in path order") + "edges", + [](const Tunnel& t) -> py::object { + return t.edges.has_value() ? py::object(py::tuple(py::cast(*t.edges))) : py::object(py::none()); + }, + "the path's EdgeIds in path order; None for a tunnel that is down") .def_readonly("route_cost", &Tunnel::route_cost) + .def_property_readonly("status", [](const Tunnel& t) { return typed_object(t.status); }) + .def_readonly("requested", &Tunnel::requested) + .def_readonly("reserved", &Tunnel::reserved) .def_readonly("weight", &Tunnel::weight) .def("__repr__", [](const Tunnel& t) { return "Tunnel(index=" + std::to_string(t.index) + ", head=" + std::to_string(t.head) + @@ -117,7 +131,7 @@ void register_program(py::module_& m) { "captured source supplies ((source, weight) for every roster source, ascending) of the optimized\n" "controllers, None for equal sources (round robin over the roster). Each head splits its share by\n" "highest averages over its entries' weights; identical routes are never merged. CostOnly and Global\n" - "produce one (FlowPolicy.program, PlacementResult.program; CapacityAware has none); from_routes builds\n" + "produce one (FlowPolicy.program, PlacementResult.program), and so does T1 (its tunnels); from_routes builds\n" "one from given routes; Pinned forwards one. No public constructor.") .def_property_readonly( "sources", [](const ForwardingProgram& p) { return ids_tuple(p.sources()); }, "the source set, ascending") diff --git a/bindings/python/publication.hpp b/bindings/python/publication.hpp index f847772..2ae2627 100644 --- a/bindings/python/publication.hpp +++ b/bindings/python/publication.hpp @@ -11,6 +11,7 @@ #include #include +#include #include #include #include @@ -147,6 +148,29 @@ class Typed : public py::object { static bool check_(py::handle h) { return py::isinstance(h); } }; +// object_of(value) as a T; a list of object_of each row (as tuple_of); object_of of a present +// value or None. pybind11's cast of a bound value, a vector or an optional of them allocates the +// object unchecked. +template +Typed typed_object(T value) { + return py::reinterpret_steal>(object_of(std::move(value)).release()); +} +template +py::typing::List list_of(const std::vector& rows) { + PyObject* raw = PyList_New(static_cast(rows.size())); + if (raw == nullptr) throw py::error_already_set(); + auto out = py::reinterpret_steal>(raw); + for (std::size_t i = 0; i < rows.size(); ++i) { + PyList_SET_ITEM(out.ptr(), static_cast(i), object_of(rows[i]).release().ptr()); + } + return out; +} +template +py::typing::Optional optional_of(const std::optional& value) { + return py::reinterpret_steal>(value.has_value() ? object_of(*value).release() + : py::none().release()); +} + // shared_object(holder) as a T (holder not null) or as T | None. template Typed> typed_shared(std::shared_ptr holder) { diff --git a/bindings/python/registration.hpp b/bindings/python/registration.hpp index 2ec70fb..0069414 100644 --- a/bindings/python/registration.hpp +++ b/bindings/python/registration.hpp @@ -26,7 +26,7 @@ void register_path(pybind11::module_& m); // Path void register_flow_record(pybind11::module_& m); // FlowRecord void register_flow_ledger(pybind11::module_& m); // FlowLedger void register_program(pybind11::module_& m); // TunnelStatus, Tunnel, Route, ForwardingProgram -void register_routing(pybind11::module_& m); // Absolute, Stretch, DiminishingReturns, the four routings +void register_routing(pybind11::module_& m); // Absolute, Stretch, Tunnels, the four routings void register_policy_config(pybind11::module_& m); // FlowPolicyConfig, OutputOptions void register_placement_result(pybind11::module_& m); // Termination, SourceFlow, TunnelFlow, PlacementResult void register_dag_cache(pybind11::module_& m); // DagCacheStats, DagCacheMiss, DagCache diff --git a/bindings/python/routing.cpp b/bindings/python/routing.cpp index 31594f0..6784979 100644 --- a/bindings/python/routing.cpp +++ b/bindings/python/routing.cpp @@ -1,6 +1,6 @@ // The routing modes of a policy (CostOnly, CapacityAware, Global, Pinned) and their parameters: -// the cost ceilings Absolute and Stretch, the DiminishingReturns guard, Global's support and -// Pinned's program and black holes. +// the cost ceilings Absolute and Stretch, the tunnel count Tunnels, Global's support and Pinned's +// program and black holes. #include #include #include @@ -98,57 +98,53 @@ void register_routing(py::module_& m) { .def("__hash__", [](const Stretch& a) { return py::hash(py::make_tuple("Stretch", a.factor)); }) .def("__repr__", [](const Stretch& a) { return "Stretch(" + std::string(py::str(py::float_(a.factor))) + ")"; }); - py::class_(m, "DiminishingReturns", - "The diminishing-returns guard of CapacityAware growth: stop once at least `window`\n" - "growth steps were accepted in the call and the last `window` gains sum below\n" - "`fraction` times the source's (finite) offer. window >= 1, fraction in (0, 1).") - .def(py::init([](const py::object& window, const py::object& fraction) { - DiminishingReturns d; - d.window = static_cast(*int_field(window, std::numeric_limits::min(), - std::numeric_limits::max(), - "diminishing window", false)); - d.fraction = float_field(fraction, "diminishing fraction"); - return d; + py::class_(m, "Tunnels", + "The tunnel count of T1 (CapacityAware) and T2, per head: count in [1, 10000] (checked when a\n" + "policy or an evaluator uses it). up_to=True (T2 only; T1 rejects it): one common count k in\n" + "1..count for every head, the smallest that delivers the design.") + .def(py::init([](const py::object& count, bool up_to) { + return Tunnels {*int_field(count, std::numeric_limits::min(), + std::numeric_limits::max(), "tunnel count", false), + up_to}; }), - py::arg("window"), py::arg("fraction"), - "DiminishingReturns(window, fraction): a 32-bit integer and a number, checked (window >= 1,\n" - "fraction in (0, 1)) when a policy is built with them. Here, a window outside 32 bits or a fraction\n" - "that is an integer beyond the largest finite float raises ValueError.") - .def_readonly("window", &DiminishingReturns::window, "the number of recent accepted growth steps compared") - .def_readonly("fraction", &DiminishingReturns::fraction, - "the share of the source's offer those steps must gain together to continue") - .def("__repr__", [](const DiminishingReturns& d) { - return "DiminishingReturns(window=" + std::to_string(d.window) + ", fraction=" + std::string(py::str(py::float_(d.fraction))) + ")"; + py::arg("count"), py::kw_only(), py::arg("up_to") = false, + "Tunnels(count, *, up_to=False): a 64-bit integer count (a bool, a float or an integer outside 64 bits\n" + "raises ValueError here; [1, 10000] is checked where it is used) and a bool") + .def_readonly("count", &Tunnels::count, "the tunnels per head (the largest count for up_to)") + .def_readonly("up_to", &Tunnels::up_to, "True: the smallest sufficient count up to `count` (T2 only)") + .def("__eq__", [](const Tunnels& a, const py::object& b) { return py::isinstance(b) && a == b.cast(); }) + .def("__hash__", [](const Tunnels& a) { return py::hash(py::make_tuple("Tunnels", a.count, a.up_to)); }) + .def("__repr__", [](const Tunnels& a) { + return "Tunnels(" + std::to_string(a.count) + (a.up_to ? ", up_to=True)" : ")"); }); py::class_(m, "CostOnly", "Routing like IGP forwarding (OSPF, IS-IS routers) on each roster source's static shortest-path\n" "DAG (read from the DagCache; the selection is applied at the epoch's first positive call),\n" - "never refreshed, grown or reoptimised; one record per roster source. EQUAL_BALANCED and\n" - "WEIGHTED pool the sources (origin EQUAL): where their routes meet, a router splits their traffic\n" - "once. MAX_FLOW is a controller on the union of those routes (origin OPTIMIZED or EQUAL). An edge\n" - "of capacity 0 stays in the DAG: EQUAL_BALANCED still sends it its share, which it cannot\n" - "carry, and WEIGHTED gives it weight 0.") + "fixed for the epoch; one record per roster source. EQUAL_BALANCED and WEIGHTED pool the sources\n" + "(origin EQUAL): where their routes meet, a router splits their traffic once. MAX_FLOW is a\n" + "controller on the union of those routes (origin OPTIMIZED or EQUAL). An edge of capacity 0\n" + "stays in the DAG: EQUAL_BALANCED still sends it its share, which it cannot carry, and WEIGHTED\n" + "gives it weight 0.") .def(py::init<>(), "CostOnly routing (no parameters)") .def("__repr__", [](const CostOnly&) { return std::string("CostOnly()"); }); py::class_( m, "CapacityAware", - "Routing like distributed CSPF tunnels (each tunnel head picks its own shortest path among edges\n" - "with enough free capacity). Each source creates flow_count flows, one search at a time, on edges\n" - "with residual >= max(1, min_flow_bandwidth) units and within max_path_cost; while its offer is\n" - "unmet it adds flows up to max_flow_count (None: no ceiling). With reoptimize, a flow moves to a\n" - "new route only when it keeps its whole amount there. `diminishing` (None: off) stops adding flows\n" - "once the recent ones gain too little.") - .def(py::init([](const py::object& flow_count, const py::object& max_flow_count, const py::object& max_path_cost, - const py::object& min_flow_bandwidth, bool reoptimize, const py::object& diminishing) { + "T1: every head sets up its own strict tunnels by CSPF, no controller (like RSVP-TE head ends).\n" + "The design volume D is split equally over the roster heads and each head's share equally over its\n" + "tunnels.count tunnels; in round order (round j, heads ascending: tunnel index j*H + i) each tunnel\n" + "keeps the allowed links whose unreserved capacity (the ledger's, minus the holds of every other\n" + "owner and of this setup's earlier tunnels) is at least max(request, min_unreserved_bandwidth) (a\n" + "request of 0 with a minimum of 0 has no filter) and takes the shortest path in the selection's\n" + "single-path order; it comes up holding exactly its request on every link (UP), or stays down\n" + "holding nothing: NO_BANDWIDTH (no path passes the filter) or COST_CEILING (the cheapest exceeds\n" + "max_path_cost: Absolute is inclusive; Stretch(f) is f times the smallest static shortest cost over\n" + "all roster heads). Traffic enters equally at the heads and splits equally over each head's up\n" + "tunnels; a head with no tunnel up loses its share. Holds never police traffic.") + .def(py::init([](const Tunnels& tunnels, const py::object& max_path_cost, const py::object& min_unreserved) { CapacityAware ca; - constexpr auto lo32 = std::numeric_limits::min(); - constexpr auto hi32 = std::numeric_limits::max(); - ca.flow_count = static_cast(*int_field(flow_count, lo32, hi32, "flow_count", false)); - if (auto mx = int_field(max_flow_count, lo32, hi32, "max_flow_count", true)) { - ca.max_flow_count = static_cast(*mx); - } + ca.tunnels = tunnels; if (!max_path_cost.is_none()) { if (py::isinstance(max_path_cost)) { ca.max_path_cost = max_path_cost.cast(); @@ -158,28 +154,21 @@ void register_routing(py::module_& m) { throw py::type_error("max_path_cost must be Absolute, Stretch or None"); } } - ca.min_flow_bandwidth = *int_field(min_flow_bandwidth, std::numeric_limits::min(), - std::numeric_limits::max(), "min_flow_bandwidth (units)", false); - ca.reoptimize = reoptimize; - if (!diminishing.is_none()) { - if (!py::isinstance(diminishing)) throw py::type_error("diminishing must be DiminishingReturns or None"); - ca.diminishing = diminishing.cast(); - } + ca.min_unreserved_bandwidth = *int_field(min_unreserved, std::numeric_limits::min(), + std::numeric_limits::max(), "min_unreserved_bandwidth", + false); return ca; }), - py::kw_only(), py::arg("flow_count") = 1, py::arg("max_flow_count") = py::none(), - py::arg("max_path_cost") = py::none(), py::arg("min_flow_bandwidth") = 0, py::arg("reoptimize") = false, - py::arg("diminishing") = py::none(), - "The fields are checked when a policy is built with them (flow_count >= 1, max_flow_count >=\n" - "flow_count, min_flow_bandwidth in [0, 2^62) units, the ceiling, the guard). Here, an integer field\n" - "of the wrong type or outside its integer type (32-bit flow_count and max_flow_count, 64-bit\n" - "min_flow_bandwidth) raises ValueError; a ceiling or guard of the wrong class, a reoptimize that is\n" - "not a bool, a number or None (a number or None counts by its truth value), and an unknown keyword\n" - "raise TypeError.") - .def_readonly("flow_count", &CapacityAware::flow_count, - "the flows a source creates on its first positive request") - .def_readonly("max_flow_count", &CapacityAware::max_flow_count, - "the most flows growth may reach per source; None: no ceiling") + py::arg("tunnels"), py::kw_only(), py::arg("max_path_cost") = py::none(), + py::arg("min_unreserved_bandwidth") = 0, + "CapacityAware(tunnels, *, max_path_cost=None, min_unreserved_bandwidth=0): the fields are checked\n" + "when a policy is built with them (the count in [1, 10000] and exact, the ceiling,\n" + "min_unreserved_bandwidth in [0, 2^62) units). Here, a min_unreserved_bandwidth of the wrong type or\n" + "outside 64 bits raises ValueError; tunnels that is not a Tunnels, a ceiling of the wrong class and\n" + "an unknown keyword raise TypeError.") + .def_property_readonly( + "tunnels", [](const CapacityAware& ca) { return typed_object(ca.tunnels); }, + "the tunnel count per head (a Tunnels)") .def_property_readonly( "max_path_cost", [](const CapacityAware& ca) -> py::object { @@ -187,14 +176,17 @@ void register_routing(py::module_& m) { return std::visit([](const auto& x) { return py::cast(x); }, *ca.max_path_cost); }, "the inclusive route cost ceiling (Absolute or Stretch); None: no ceiling") - .def_readonly("min_flow_bandwidth", &CapacityAware::min_flow_bandwidth, - "units in [0, 2^62): every search keeps only edges with at least max(1, this) residual units") - .def_readonly("reoptimize", &CapacityAware::reoptimize, - "True: a retained flow moves to a newly found route when it keeps its whole amount there") - .def_readonly("diminishing", &CapacityAware::diminishing, "the growth guard; None: off") + .def_readonly("min_unreserved_bandwidth", &CapacityAware::min_unreserved_bandwidth, + "units in [0, 2^62): a search minimum only (each attempt keeps the links with at least\n" + "max(request, this) unreserved units), never a reservation") .def("__repr__", [](const CapacityAware& ca) { - return "CapacityAware(flow_count=" + std::to_string(ca.flow_count) + ", max_flow_count=" + - (ca.max_flow_count ? std::to_string(*ca.max_flow_count) : std::string("None")) + ")"; + std::string ceiling = "None"; + if (ca.max_path_cost.has_value()) { + ceiling = std::visit([](const auto& x) { return std::string(py::repr(typed_object(x))); }, *ca.max_path_cost); + } + return "CapacityAware(Tunnels(" + std::to_string(ca.tunnels.count) + (ca.tunnels.up_to ? ", up_to=True)" : ")") + + ", max_path_cost=" + ceiling + ", min_unreserved_bandwidth=" + std::to_string(ca.min_unreserved_bandwidth) + + ")"; }); py::class_(m, "Global", diff --git a/bindings/python/search.cpp b/bindings/python/search.cpp index 9100eba..82a82db 100644 --- a/bindings/python/search.cpp +++ b/bindings/python/search.cpp @@ -128,7 +128,7 @@ void register_search(py::module_& m) { t = node_ids(o.targets, n, "targets"); detail::check_disjoint(detail::node_set(r, n, "roots"), detail::node_set(*t, n, "targets"), "roots", "targets"); - } else if (!o.selection.multipath) { + } else if (o.selection.single_path()) { throw py::value_error("multipath = false requires targets (the single path joins a root to a target)"); } std::optional> res; diff --git a/bindings/python/values.hpp b/bindings/python/values.hpp index 435673d..dedfba0 100644 --- a/bindings/python/values.hpp +++ b/bindings/python/values.hpp @@ -91,6 +91,13 @@ inline py::list pairs_list(const std::vector>& v) { return out; } +// ((id, amount), ...) as a tuple (TunnelPlan.head_design). +inline py::tuple pairs_tuple(const std::vector>& v) { + py::tuple out(v.size()); + for (std::size_t i = 0; i < v.size(); ++i) out[i] = py::make_tuple(v[i].first, v[i].second); + return out; +} + // An amount argument: an integer number of units in [0, 2^62) or +inf (float('inf')); nullopt is // +inf. Any other value (a bool, another float, a non-integer, an integer out of range) raises the // one ValueError `text`; an exception of the object's own __index__ propagates as raised. diff --git a/dev/cpp-tests.sh b/dev/cpp-tests.sh index ad827d6..a795b1d 100644 --- a/dev/cpp-tests.sh +++ b/dev/cpp-tests.sh @@ -23,9 +23,8 @@ cd "$(dirname "${BASH_SOURCE[0]}")/.." # still run, three checks are weaker without them: the helper check_deletion # (flow_core_deletion_tests.cpp) checks each re-solve's final result, but observes each repair step # only through the probe hook (see that file's header); PolicyFixtures.EveryFixtureReplaysIdentically -# compares no trace and replays only the 54 fixtures that keep the default creation cap, and -# PolicyFixtures.ACorruptedExpectationFails corrupts only what that replay compares, in those 54 -# fixtures (see flow_policy_fixture_tests.cpp's header). +# compares no trace, and PolicyFixtures.ACorruptedExpectationFails corrupts only what that replay +# compares (see flow_policy_fixture_tests.cpp's header). EXPECTED_OFF_SKIPS=" FlowCoreDeletion.CheckpointsEqualTheIterativeUpdate FlowCoreDeletion.RerunningTheFailedSearchAddsExactlyOneSearch diff --git a/dev/perf/README.md b/dev/perf/README.md index c161070..cc9720c 100644 --- a/dev/perf/README.md +++ b/dev/perf/README.md @@ -319,7 +319,8 @@ failed. | `sensitivity` | `sens.exact`, `sens.policy_all_edges`, `sens.equal_global` | exact-model sensitivity; policy-model loss for every eligible edge; equal-origin Global, every edge solved afresh | | `pooled` | `pooled.{ecmp,lossy}.clos` | 8 demands of 8 pooled sources on one ledger, Lossless / Lossy above capacity | | `global` | `global.equal.random` | equal-origin Global capacity, 2 demands of 4 sources | -| `cohort` | `cohort.te_ecmp16`, `cohort.te_ecmp256` | TE_ECMP cohorts, 12 demands on one ledger | +| `program` | `program.forward.global`, `program.replay.lossy`, `program.stale.lossy`, `program.replace.costonly` | forwarding programs: a Global program forwarded, replayed under failures (Lossy), stale under black holes, CostOnly re-prepared by replace | +| `t1` | `t1.setup.fabric`, `t1.forward.fabric` | T1 with 16 tunnels per head, 12 demands on one ledger: the setup with its holds; the installed programs forwarded under 32 offers | | `msd` | `msd.loop` | the maximum-supported-demand bracket and bisection with a per-series DAG cache | | `ksp` | `ksp.fabric3_k8` | k = 8 shortest paths for 8 pairs | | `cache` | `cache.cold`, `cache.warm` | DagCache series from a cleared / prepopulated cache | diff --git a/dev/perf/aba_api.hpp b/dev/perf/aba_api.hpp index 419c130..4ea6d39 100644 --- a/dev/perf/aba_api.hpp +++ b/dev/perf/aba_api.hpp @@ -164,9 +164,9 @@ inline std::uint64_t eligibility_build_intersect(const Graph& g, const std::vect return d.h; } -// Search selection, spelled in target terms. +// Search selection, spelled in target terms (multipath absent: the DAG of every equal-cost walk). struct Sel { - bool multipath = true; + std::optional multipath {}; bool multi_edge = true; bool prefer_priority = false; }; @@ -427,7 +427,7 @@ inline std::uint64_t pooled_place(const Graph& g, const std::vector>& states) return out; } +// A status as a fixed code, so a digest does not move when the enum gains or reorders values: +// Up 0, Failed 1, Blackholed 2 (the codes of every older Core), NoBandwidth 3, CostCeiling 4. +inline std::int64_t status_code(nc::TunnelStatus s) { + switch (s) { + case nc::TunnelStatus::Up: return 0; + case nc::TunnelStatus::Failed: return 1; + case nc::TunnelStatus::Blackholed: return 2; + case nc::TunnelStatus::NoBandwidth: return 3; + case nc::TunnelStatus::CostCeiling: return 4; + } + return -1; +} + inline void add_rows(Digest& d, const nc::PlacementResult& r) { d.add_i(r.placed); d.add(r.source_loss.lo); @@ -462,7 +475,7 @@ inline void add_rows(Digest& d, const nc::PlacementResult& r) { for (const auto& [e, x] : r.call_drops) drops += x; d.add_i(drops); for (const auto& t : r.by_tunnel) { - d.add_i(static_cast(t.status)); + d.add_i(status_code(t.status)); d.add(t.assigned.lo); d.add_i(t.delivered); } @@ -561,29 +574,58 @@ inline std::uint64_t sensitivity_equal_global(const Graph& g, const std::vector< return fold_sensitivity(nc::sensitivity(g.ref(), sv, tv, nc::QueryOptions {global_equal_config()}, 1)); } -// Cohort placement: one TE_ECMP CapacityAware policy per pair on one shared ledger (NetGraph -// presets TE_ECMP_16_LSP: 16 single-path EB tunnels; TE_ECMP_UP_TO_256_LSP: 1..256), -// reoptimised, place(to_units(volume)). -inline std::uint64_t cohort_place(const Graph& g, const std::vector>& pairs, double volume, - int min_flows, int max_flows) { - nc::CapacityAware ca; - ca.flow_count = min_flows; - ca.max_flow_count = max_flows; - ca.reoptimize = true; - const nc::FlowPolicyConfig cfg { - ca, nc::FlowPlacement::EqualBalanced, nc::Admission::Lossless, - nc::PathSelection(nc::EdgeTieBreak::PreferHigherPriority, nc::EdgePriority::Residual, false, false)}; - nc::FlowLedger fg(g.g); +// T1: one CapacityAware(Tunnels(tunnels)) policy per pair on one shared ledger, Lossless, each head +// setting up its tunnels by CSPF on the unreserved view (the earlier pairs' holds count). +struct T1Fabric { + nc::FlowLedger fg; std::vector> policies; + T1Fabric(const Graph& g, const std::vector>& pairs, int tunnels, nc::Admission admission) + : fg(g.g) { + const nc::FlowPolicyConfig cfg {.routing = nc::CapacityAware {nc::Tunnels {tunnels}}, .admission = admission}; + for (auto [s, t] : pairs) { + const nc::NodeId sv[1] = {s}; + const nc::NodeId tv[1] = {t}; + policies.push_back(std::make_unique(fg, sv, tv, cfg)); + } + } +}; + +// The digest of a T1 call: its delivery, its up tunnels and its holds in all. +inline void add_t1(Digest& d, const nc::PlacementResult& r) { + d.add_i(r.placed); + std::int64_t up = 0; + for (const auto& t : r.program->tunnels()) up += t.status == nc::TunnelStatus::Up ? 1 : 0; + d.add_i(up); + d.add_i(r.plan->reserved_total); +} + +// t1.setup.fabric: every pair's replace(to_units(volume), design = the same) on a fresh ledger, in +// pair order: CSPF setup, the holds' commit and the Lossless forwarding. +inline std::uint64_t t1_setup(const Graph& g, const std::vector>& pairs, double volume, int tunnels) { + T1Fabric f(g, pairs, tunnels, nc::Admission::Lossless); Digest d; const auto units = nc::to_units(volume, kResolution); - for (auto [s, t] : pairs) { - const nc::NodeId sv[1] = {s}; - const nc::NodeId tv[1] = {t}; - policies.push_back(std::make_unique(fg, sv, tv, cfg)); - const auto r = policies.back()->place(units); - d.add_d(nc::as_float(r.placed, kResolution)); - d.add_i(static_cast(policies.back()->records().size())); + for (auto& p : f.policies) add_t1(d, p->replace(units, units)); + return d.h; +} + +// The fabric of t1.forward.fabric: Lossy, every pair set up once by replace(to_units(volume), +// design = the same), outside the timed iterations. +inline std::shared_ptr t1_installed(const Graph& g, const std::vector>& pairs, double volume, + int tunnels) { + auto f = std::make_shared(g, pairs, tunnels, nc::Admission::Lossy); + const auto units = nc::to_units(volume, kResolution); + for (auto& p : f->policies) (void)p->replace(units, units); + return f; +} + +// t1.forward.fabric: the installed Lossy programs of every pair forwarded under each offer (no +// setup: forward keeps the tunnels and the holds). +inline std::uint64_t t1_forward(T1Fabric& f, const std::vector& offers) { + Digest d; + for (double offer : offers) { + const auto units = nc::to_units(offer, kResolution); + for (auto& p : f.policies) add_t1(d, p->forward(units)); } return d.h; } diff --git a/dev/perf/aba_rows.hpp b/dev/perf/aba_rows.hpp index b64a52a..8835426 100644 --- a/dev/perf/aba_rows.hpp +++ b/dev/perf/aba_rows.hpp @@ -863,7 +863,7 @@ inline std::vector rows() { return d.h; }); }}); - // ---- pooled sources and the equal origin (step 2: several sources of one demand) + // ---- pooled sources and the equal origin (several sources of one demand) // Eight demands of eight source leaves each to one destination leaf on a Clos 64x32 (unit costs, // links of 10..80): demand j has the leaves 8j..8j+7 and the leaf (8j + 36) mod 64. Every source // splits over its 32 spines and the eight sources share each spine's one link into the @@ -907,7 +907,7 @@ inline std::vector rows() { const std::vector srcs = {1, 17, 33}; return Iter([g, srcs] { return abaapi::sensitivity_equal_global(*g, srcs, 50); }); }}); - // ---- forwarding programs (step 3): no older Core has them; they guard the later steps. + // ---- forwarding programs: no older Core has them; they guard later changes. // One demand of eight source leaves to one leaf on a Clos 32x16 (links of 10..80): its optimized // Global program (paths with solved amounts, captured source weights), solved for 2,000. auto program_demand = [] { @@ -951,20 +951,31 @@ inline std::vector rows() { return abaapi::replace_under_load(*g, srcs, 20, {9, 10, 11, 12}, 21, loads, 800.0); }); }}); - // ---- cohort placement (TE_ECMP presets) - auto cohort_row = [](int min_flows, int max_flows) { - auto f = gen_fabric3(4, 8, 4, 8, 21); - auto g = std::make_shared(abaapi::build(f.a)); + // ---- T1 tunnels (the fabric of 4 pods, 12 demands of 120: one policy per demand, one ledger) + auto t1_pairs = [](const Fabric3& f) { std::vector> pairs; for (int p = 0; p < 4; ++p) for (int i = 0; i < 3; ++i) pairs.push_back({fabric3_leaf(f, p, i), fabric3_leaf(f, (p + 1) % 4, 7 - i)}); - return Iter([g, pairs, min_flows, max_flows] { return abaapi::cohort_place(*g, pairs, 120.0, min_flows, max_flows); }); + return pairs; }; - r.push_back({"cohort.te_ecmp16", "cohort", - "TE_ECMP_16_LSP cohorts (16 single-path EB tunnels, reoptimised), fabric 4 pods, 12 demands of 120", - [=] { return cohort_row(16, 16); }}); - r.push_back({"cohort.te_ecmp256", "cohort", - "TE_ECMP_UP_TO_256_LSP cohorts (1..256 tunnels, reoptimised), fabric 4 pods, 12 demands of 120", - [=] { return cohort_row(1, 256); }}); + r.push_back({"t1.setup.fabric", "t1", + "T1 CapacityAware(Tunnels(16)) replace(120, design 120) per demand, fabric 4 pods, 12 demands on one " + "ledger: CSPF setup on the unreserved view, the holds' commit, Lossless forwarding", + [=] { + auto f = gen_fabric3(4, 8, 4, 8, 21); + auto g = std::make_shared(abaapi::build(f.a)); + return Iter([g, pairs = t1_pairs(f)] { return abaapi::t1_setup(*g, pairs, 120.0, 16); }); + }}); + r.push_back({"t1.forward.fabric", "t1", + "the same 12 T1 programs (Lossy) set up once, then forward() of each under 32 offers (no setup, the holds " + "kept)", + [=] { + auto f = gen_fabric3(4, 8, 4, 8, 21); + auto g = std::make_shared(abaapi::build(f.a)); + auto fabric = abaapi::t1_installed(*g, t1_pairs(f), 120.0, 16); + std::vector offers; + for (int i = 0; i < 32; ++i) offers.push_back(40.0 + 10.0 * i); + return Iter([g, fabric, offers] { return abaapi::t1_forward(*fabric, offers); }); + }}); // ---- MSD loop r.push_back({"msd.loop", "msd", "MSD bracket and bisection over CostOnly EB placement with a per-series DAG cache, Clos 32x16, 64 demands", diff --git a/dev/run-checks.sh b/dev/run-checks.sh index 79ef6d6..2adf2b8 100755 --- a/dev/run-checks.sh +++ b/dev/run-checks.sh @@ -46,27 +46,62 @@ tests/py/test_flow_policy_fixtures.py::test_a_corrupted_expectation_fails[ledger tests/py/test_flow_policy_fixtures.py::test_a_corrupted_expectation_fails[policy] tests/py/test_flow_policy_fixtures.py::test_a_corrupted_expectation_fails[result] tests/py/test_flow_policy_fixtures.py::test_a_corrupted_expectation_fails[trace] -tests/py/test_flow_policy_fixtures.py::test_every_other_replay_clause_reports_its_operation tests/py/test_flow_policy_fixtures.py::test_an_expected_value_of_another_type_fails[bool as integer] tests/py/test_flow_policy_fixtures.py::test_an_expected_value_of_another_type_fails[integer as float] +tests/py/test_flow_policy_fixtures.py::test_every_other_replay_clause_reports_its_operation tests/py/test_ksp.py::test_python_result_lists_are_all_or_nothing +tests/py/test_native_allocation.py::test_allocation_hooks_preserve_exception_identity +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[Eligibility.intersect] tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[FlowLedger.reset] +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[FlowRecord.bundle] +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[PlacementResult.program] tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[batch_capacity.global] +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[batch_capacity.global_equal] tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[capacity.frozen_cache] tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[capacity.global] +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[capacity.pinned_lossy] +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[evaluate.global] +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[forward.costonly_pooled_lossy_black_holes] +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[from_routes] tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[ksp] tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[place.costonly] +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[place.costonly_pooled_lossy] tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[place.global] +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[place.global_equal] +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[place.pinned_split_route] tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[place_traced.global] +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[replace.global_support] +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[replace.pinned_tunnels_lossy] tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[resolve_to_paths] tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[sensitivity.global] +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[sensitivity.pinned] tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[spf.full] tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[spf.single_path] tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[spf.targets_residual] -tests/py/test_native_allocation.py::test_allocation_hooks_preserve_exception_identity tests/py/test_native_allocation.py::test_the_row_checks_reject_a_wrong_call +tests/py/test_programs.py::test_from_routes_and_getters_survive_python_allocation_failures +tests/py/test_programs.py::test_operations_are_all_or_nothing[costonly forward] +tests/py/test_programs.py::test_operations_are_all_or_nothing[costonly replace] +tests/py/test_programs.py::test_operations_are_all_or_nothing[global evaluate] +tests/py/test_programs.py::test_operations_are_all_or_nothing[pinned replace] tests/py/test_search.py::test_python_result_construction_is_all_or_nothing tests/py/test_search.py::test_the_python_allocation_sweep_rejects_a_wrong_call +tests/py/test_tunnels_t1.py::test_t1_getters_survive_python_allocation_failures[ca.tunnels] +tests/py/test_tunnels_t1.py::test_t1_getters_survive_python_allocation_failures[fg.record(fid)] +tests/py/test_tunnels_t1.py::test_t1_getters_survive_python_allocation_failures[fg.records()] +tests/py/test_tunnels_t1.py::test_t1_getters_survive_python_allocation_failures[fg.reserved()] +tests/py/test_tunnels_t1.py::test_t1_getters_survive_python_allocation_failures[fg.unreserved()] +tests/py/test_tunnels_t1.py::test_t1_getters_survive_python_allocation_failures[p.record(fid)] +tests/py/test_tunnels_t1.py::test_t1_getters_survive_python_allocation_failures[p.records()] +tests/py/test_tunnels_t1.py::test_t1_getters_survive_python_allocation_failures[r.plan.head_design] +tests/py/test_tunnels_t1.py::test_t1_getters_survive_python_allocation_failures[r.plan] +tests/py/test_tunnels_t1.py::test_t1_getters_survive_python_allocation_failures[r.program.tunnels] +tests/py/test_tunnels_t1.py::test_t1_getters_survive_python_allocation_failures[repr(abs3)] +tests/py/test_tunnels_t1.py::test_t1_getters_survive_python_allocation_failures[repr(st2)] +tests/py/test_tunnels_t1.py::test_t1_getters_survive_python_allocation_failures[t0.status] +tests/py/test_tunnels_t1.py::test_t1_results_survive_python_allocation_failures[evaluate] +tests/py/test_tunnels_t1.py::test_t1_results_survive_python_allocation_failures[forward] +tests/py/test_tunnels_t1.py::test_t1_results_survive_python_allocation_failures[replace] " EXPECTED_OFF_SKIPPED_PREFIX='tests/py/test_flow_policy_fixtures.py::test_fixture[' @@ -108,7 +143,7 @@ def pytest_sessionfinish(session, exitstatus): record = { "seen": sorted(_seen), "skipped": _skipped, - "hooks": hasattr(ext, "_max_flows_per_call"), + "hooks": hasattr(ext, "_fail_native_allocation"), "modules": [getattr(ext, "__file__", None), getattr(pkg, "__file__", None)], } with open(os.environ["NGC_SKIP_RECORD"], "w") as f: diff --git a/dev/stubs/check_clients.py b/dev/stubs/check_clients.py index ad855be..8c91657 100644 --- a/dev/stubs/check_clients.py +++ b/dev/stubs/check_clients.py @@ -59,7 +59,7 @@ "ng.FlowLedger(g, residual=np.zeros(1, dtype=np.float64))", "ng.spf(g, 0, ng.KspOptions(1, sel))", "ng.capacity(g, 0, 1, cfg)", - "ng.CapacityAware(max_path_cost=guard)", + "ng.CapacityAware(guard, max_path_cost=guard)", 'ng.to_units("1.5", 1.0)', "ng.FlowPolicyConfig(ng.Global())", "ng.Path(g, np.zeros((1, 1), dtype=np.float64))", diff --git a/dev/stubs/generate.py b/dev/stubs/generate.py index dfa502b..afa9b8b 100644 --- a/dev/stubs/generate.py +++ b/dev/stubs/generate.py @@ -86,7 +86,7 @@ def installed_package(): f"{mod.__name__} is imported from {where}, not from an installation in " "this interpreter's site-packages (build a wheel: bash dev/stubs/run.sh)" ) - if hasattr(ext, "_max_flows_per_call"): + if hasattr(ext, "_fail_native_allocation"): raise Failure( "the installed extension carries the private hooks; generate from the " "shipped configuration (a wheel or an sdist build)" diff --git a/dev/stubs/overrides.pyi b/dev/stubs/overrides.pyi index d2a45d8..3417d40 100644 --- a/dev/stubs/overrides.pyi +++ b/dev/stubs/overrides.pyi @@ -144,6 +144,10 @@ class FlowRecord: # generated: def edges(self) -> list: @property def edges(self) -> list[tuple[int, int]]: ... + # reason: a list of (EdgeId, units) pairs + # generated: def reserved_edges(self) -> list: + @property + def reserved_edges(self) -> list[tuple[int, int]]: ... # reason: an exact Python int for a Lossy flow, None otherwise # generated: def offered(self) -> typing.Any: @property @@ -154,14 +158,18 @@ class FlowRecord: def route_cost(self) -> int | None: ... class FlowLedger: - # reason: the baseline residual is integers, or None for the capacities - # generated: def __init__(self, graph: Graph, residual: typing.Any = None) -> None: + # reason: the service and reservation baselines are integers, or None for the capacities + # generated: def __init__(self, graph: Graph, residual: typing.Any = None, *, unreserved: typing.Any = None) -> None: def __init__( self, graph: Graph, residual: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer] | None = None, + *, + unreserved: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None = None, ) -> None: ... # reason: sources is a node set; elig may be None (all allowed) # generated: def bottleneck(self, sources: typing.Any, elig: Eligibility = None) -> list[int]: @@ -180,13 +188,17 @@ class FlowLedger: def record( self, flow_id: tuple[typing.SupportsIndex, typing.SupportsIndex] ) -> FlowRecord: ... - # reason: the new baseline is integers, or None for the capacities - # generated: def reset(self, residual: typing.Any = None) -> None: + # reason: the new baselines are integers, or None for the capacities + # generated: def reset(self, residual: typing.Any = None, *, unreserved: typing.Any = None) -> None: def reset( self, residual: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer] | None = None, + *, + unreserved: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None = None, ) -> None: ... class Absolute: @@ -201,27 +213,20 @@ class Stretch: self, factor: float | numpy.floating | typing.SupportsIndex ) -> None: ... -class DiminishingReturns: - # reason: window is an integer, fraction a number - # generated: def __init__(self, window: typing.Any, fraction: typing.Any) -> None: - def __init__( - self, - window: typing.SupportsIndex, - fraction: float | numpy.floating | typing.SupportsIndex, - ) -> None: ... +class Tunnels: + # reason: count is an integer + # generated: def __init__(self, count: typing.Any, *, up_to: bool = False) -> None: + def __init__(self, count: typing.SupportsIndex, *, up_to: bool = False) -> None: ... class CapacityAware: - # reason: the counts and the bandwidth are integers (max_flow_count may be None); the ceiling is Absolute, Stretch or None; diminishing is DiminishingReturns or None - # generated: def __init__(self, *, flow_count: typing.Any = 1, max_flow_count: typing.Any = None, max_path_cost: typing.Any = None, min_flow_bandwidth: typing.Any = 0, reoptimize: bool = False, diminishing: typing.Any = None) -> None: + # reason: the ceiling is Absolute, Stretch or None; the search minimum is an integer + # generated: def __init__(self, tunnels: Tunnels, *, max_path_cost: typing.Any = None, min_unreserved_bandwidth: typing.Any = 0) -> None: def __init__( self, + tunnels: Tunnels, *, - flow_count: typing.SupportsIndex = 1, - max_flow_count: typing.SupportsIndex | None = None, max_path_cost: Absolute | Stretch | None = None, - min_flow_bandwidth: typing.SupportsIndex = 0, - reoptimize: bool = False, - diminishing: DiminishingReturns | None = None, + min_unreserved_bandwidth: typing.SupportsIndex = 0, ) -> None: ... # reason: the ceiling given at construction: Absolute, Stretch or None # generated: def max_path_cost(self) -> typing.Any: @@ -232,10 +237,10 @@ class Tunnel: # reason: no constructor: a tunnel of ForwardingProgram.tunnels # generated: (none) def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... - # reason: the path's EdgeIds in path order - # generated: def edges(self) -> tuple: + # reason: the path's EdgeIds in path order, None for a tunnel that is down + # generated: def edges(self) -> typing.Any: @property - def edges(self) -> tuple[int, ...]: ... + def edges(self) -> tuple[int, ...] | None: ... class Route: # reason: head and weight are integers (weight checked by from_routes); bundle a Path or a PredDAG (TypeError otherwise) @@ -418,6 +423,23 @@ class PlacementResult: # generated: def residual(self) -> typing.Any: @property def residual(self) -> numpy.typing.NDArray[numpy.int64] | None: ... + # reason: an int64 array when requested, else None + # generated: def reservation_edge_flows(self) -> typing.Any: + @property + def reservation_edge_flows(self) -> numpy.typing.NDArray[numpy.int64] | None: ... + +class TunnelPlan: + # reason: no constructor: the plan of a T1 result + # generated: (none) + def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... + # reason: an int, or float('inf') for an unlimited design + # generated: def design_demand(self) -> typing.Any: + @property + def design_demand(self) -> int | float: ... + # reason: (head, share) pairs + # generated: def head_design(self) -> tuple: + @property + def head_design(self) -> tuple[tuple[int, int], ...]: ... class DagCacheStats: # reason: no constructor: returned by DagCache.stats @@ -447,12 +469,13 @@ class FlowPolicy: volume: typing.SupportsIndex | float | numpy.floating, outputs: OutputOptions | None = None, ) -> PlacementResult: ... - # reason: offer is integer units or float('inf'); outputs may be None; the result is a PlacementResult - # generated: def evaluate(self, offer: typing.Any, *, outputs: typing.Any = None) -> typing.Any: + # reason: offer and design_demand are integer units or float('inf') (design_demand may be None); outputs may be None; the result is a PlacementResult + # generated: def evaluate(self, offer: typing.Any, *, design_demand: typing.Any = None, outputs: typing.Any = None) -> typing.Any: def evaluate( self, offer: typing.SupportsIndex | float | numpy.floating, *, + design_demand: typing.SupportsIndex | float | numpy.floating | None = None, outputs: OutputOptions | None = None, ) -> PlacementResult: ... # reason: offer is integer units or float('inf'); black_holes and outputs may be None; the result is a PlacementResult @@ -464,12 +487,13 @@ class FlowPolicy: black_holes: Eligibility | None = None, outputs: OutputOptions | None = None, ) -> PlacementResult: ... - # reason: offer is integer units or float('inf'); outputs may be None; the result is a PlacementResult - # generated: def replace(self, offer: typing.Any, *, outputs: typing.Any = None) -> typing.Any: + # reason: offer and design_demand are integer units or float('inf') (design_demand may be None); outputs may be None; the result is a PlacementResult + # generated: def replace(self, offer: typing.Any, *, design_demand: typing.Any = None, outputs: typing.Any = None) -> typing.Any: def replace( self, offer: typing.SupportsIndex | float | numpy.floating, *, + design_demand: typing.SupportsIndex | float | numpy.floating | None = None, outputs: OutputOptions | None = None, ) -> PlacementResult: ... # reason: a FlowId is a tuple (ledger uid, id) of integers @@ -479,8 +503,8 @@ class FlowPolicy: ) -> FlowRecord: ... class QueryOptions: - # reason: elig, cache, outputs and offered may be None; offered is integer units or float('inf') - # generated: def __init__(self, config: FlowPolicyConfig, *, elig: Eligibility = None, cache: DagCache = None, outputs: typing.Any = None, offered: typing.Any = None) -> None: + # reason: elig, cache, outputs, design_demand and offered may be None; design_demand and offered are integer units or float('inf') + # generated: def __init__(self, config: FlowPolicyConfig, *, elig: Eligibility = None, cache: DagCache = None, outputs: typing.Any = None, design_demand: typing.Any = None, offered: typing.Any = None) -> None: def __init__( self, config: FlowPolicyConfig, @@ -488,8 +512,13 @@ class QueryOptions: elig: Eligibility | None = None, cache: DagCache | None = None, outputs: OutputOptions | None = None, + design_demand: typing.SupportsIndex | float | numpy.floating | None = None, offered: typing.SupportsIndex | float | numpy.floating | None = None, ) -> None: ... + # reason: the design given, an int or float('inf'), or None + # generated: def design_demand(self) -> typing.Any: + @property + def design_demand(self) -> int | float | None: ... # reason: the offer given, an int or float('inf'), or None # generated: def offered(self) -> typing.Any: @property diff --git a/dev/stubs/test_generate.py b/dev/stubs/test_generate.py index 37eed35..9eab5de 100644 --- a/dev/stubs/test_generate.py +++ b/dev/stubs/test_generate.py @@ -391,7 +391,7 @@ def check(self, pkg_file: str, ext_file: str, hooks: bool = False): ext = types.ModuleType("_netgraph_core") pkg.__file__, ext.__file__ = pkg_file, ext_file if hooks: - ext._max_flows_per_call = lambda: 0 + ext._fail_native_allocation = lambda: 0 with mock.patch.dict( sys.modules, {"netgraph_core": pkg, "_netgraph_core": ext} ): diff --git a/docs/semantics.md b/docs/semantics.md index 31d2735..13b02be 100644 --- a/docs/semantics.md +++ b/docs/semantics.md @@ -46,9 +46,8 @@ Contents: walk's edges. - **A flow** is one routed amount on one route, recorded in the ledger as a `FlowRecord`. - **Policy.** The routing model of one demand, the traffic from a set of sources to a set of - destinations (a `FlowPolicy`): it creates, fills, grows and removes that demand's flows. -- **Cohort.** The flows a policy manages for one source; growth adds a flow to it - (`CapacityAware`). + destinations (a `FlowPolicy`): it computes that demand's routes, forwards its traffic over them + and removes it again. - **Roster.** The sources of a policy that take part in placement, fixed when the policy is built. - **Origin.** How a demand's total enters at its roster sources: in equal round-robin shares (`EQUAL`) or as a controller chooses (`OPTIMIZED`). @@ -58,13 +57,20 @@ Contents: time to the member with the largest `w[i] / (assigned[i] + 1)`, ties to the earlier member; a zero weight gets nothing. - **Program.** A `ForwardingProgram`: the routes and integer weights of one demand and the rule - that injects its traffic at the sources. CostOnly and Global produce one (CapacityAware has none - until its tunnels arrive); `Pinned` - forwards a given one without computing anything ([section 7](#forwarding-programs)). + that injects its traffic at the sources. CostOnly, Global and T1 (`CapacityAware`) produce one; + `Pinned` forwards a given one without computing anything ([section 7](#forwarding-programs)). - **Entry.** One route of a program: a **tunnel** (one path, one edge per hop) or a **split route** (a DAG whose routers split by fixed rules). Each entry has an integer identifier, its `index`, and a weight: its share among its head's entries. - **Head.** A roster source, as the start of its entries. +- **T1.** `CapacityAware(Tunnels(N))`: every head sets up its own N strict-bandwidth tunnels by + CSPF (constrained shortest path first: a shortest path among the links with enough unreserved + bandwidth), with no controller ([section 7](#t1-tunnels-set-up-by-their-heads)). +- **Hold.** Bandwidth an up T1 tunnel reserves on every link of its path. Holds are the ledger's + second projection (`reserved`, `unreserved`), kept apart from the carried traffic (`allocated`, + `residual`); they never police or queue traffic. +- **Design demand.** The volume T1 sizes its tunnels for (`design_demand`), separately from the + offer it forwards. - **Split context.** The traffic a split route's routers split: only that route's own share. A `CostOnly` program is one context pooled over its sources; every supplied split route is its own. @@ -109,8 +115,8 @@ PREFER = ngc.PathSelection(ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, ngc.EdgePrio def config(routing, placement=ngc.FlowPlacement.EQUAL_BALANCED, admission=ngc.Admission.LOSSLESS, selection=DET): - """A configuration with a kernel and a selection (CostOnly and CapacityAware; Global and - Pinned take neither).""" + """A CostOnly configuration with a kernel and a selection (Global, CapacityAware and Pinned + take no kernel).""" return ngc.FlowPolicyConfig(routing=routing, placement=placement, admission=admission, selection=selection) ``` @@ -306,17 +312,20 @@ supplied residual filters edges by capacity. ### Options shared by the searches -- **`PathSelection(tie_break=DETERMINISTIC, priority=CAPACITY, multipath=True, +- **`PathSelection(tie_break=DETERMINISTIC, priority=CAPACITY, multipath=None, multi_edge=True)`.** Every field has its default. - - `multipath=True` returns the DAG of every equal-cost walk; `False` the one canonical path. + - `multipath=None` (the default) is the model's natural shape: the DAG of every equal-cost walk + for the searches and `CostOnly`, one path for T1. `True` is the DAG (T1 rejects it), `False` + the one canonical path. - `multi_edge=True` keeps every eligible parallel member of a `(u, v)` pair; `False` keeps one per pair (the member rule below). - `tie_break`: `DETERMINISTIC` never compares priority values; ties fall to the lowest EdgeId. `PREFER_HIGHER_PRIORITY` prefers the higher priority value first, then the lowest EdgeId. - - `priority`: the per-edge value that `PREFER_HIGHER_PRIORITY` reads. CostOnly and supplied - split routes read WeightBasis; only CapacityAware still reads selection priority (for its - Weighted flows' membership and weights). The values: `RESIDUAL` (residual units), `CAPACITY` (static + - `priority`: the per-edge value that `PREFER_HIGHER_PRIORITY` reads; it never chooses + weights (`CostOnly` and supplied split routes read a `WeightBasis`). T1's CSPF reads it on its + unreserved view U: `RESIDUAL` reads U, `HEADROOM` U divided by the capacity, `CAPACITY` the + capacity. The values: `RESIDUAL` (residual units), `CAPACITY` (static capacity units) or `HEADROOM` (residual divided by capacity, compared exactly as a fraction; 0 on an edge of capacity 0). A search without a residual array reads the static capacity as the residual: `RESIDUAL` and `CAPACITY` read the capacity, `HEADROOM` reads 1 on @@ -353,7 +362,7 @@ min_residual=1, elig=None))` returns an `SpfResult` with `costs`, `dag` and `tar - **With targets** the search stops at the cost of the nearest targets (anycast: the nearest of a set). `target_cost` is that cost (`None` when no target is reached), `dag` keeps only the walks that end in a target at that cost, and `costs` is `None`. -- **The DAG is unique.** With `multipath=True`, costs are positive, so the member graph, the +- **The DAG is unique.** With `multipath` `None` or `True`, costs are positive, so the member graph, the roots, the direction and the targets (or their absence) determine one DAG. The member graph changes through `multi_edge`, the member rule, static eligibility and residual gating; with the member graph fixed, the tie mode, the priority, the capacity and residual values and the C++ @@ -451,7 +460,7 @@ print([p.hops() for p in ngc.resolve_to_paths(g, r.dag, 0, 2)], **In plain words.** A kernel decides how one flow spreads over its route. `MAX_FLOW` behaves like a controller that pushes as much as the route can carry, cheapest walks first. `WEIGHTED` is a router splitting traffic at every node by fixed weights (WCMP). `EQUAL_BALANCED` is a router -splitting equally at every node (ECMP), or equal-share tunnels. Admission is a separate choice: +splitting equally at every node (ECMP). Admission is a separate choice: `LOSSLESS` places only what fits end to end; `LOSSY` forwards hop by hop, as routers do, and drops on each edge what does not fit. @@ -482,18 +491,15 @@ drops on each edge what does not fit. policy's own released traffic; `from_routes`: the `residual` it is given). The selection's `priority` never chooses weights; it acts only in single-path and parallel-member choices, so `WEIGHTED` with `HEADROOM` is allowed. Weights are never renormalised; a member - whose residual later shrinks limits the flow. `CapacityAware` keeps its own rule: its - `WEIGHTED` flows read their weights from the priority values when each flow is created - (`HEADROOM` is rejected there). + whose residual later shrinks limits the flow. - **`EQUAL_BALANCED`** splits at every node by round robin over its members, which are frozen when the flow is created. - **Lossless filling** (`WEIGHTED`, `EQUAL_BALANCED`). On a fixed route and plan, a flow's delivered - amount `T` only grows (an equal-share cohort that gains a tunnel re-splits its total; see [the - placement call](#the-placement-call)): a call raises it to the smallest of `T` plus the call's + amount `T` only grows: a call raises it to the smallest of `T` plus the call's budget and `T_max`, the largest amount whose allocation fits every member edge (found by exact binary search). At `T_max` at least one member edge is exactly full; there is no safety margin. Because the split rules are monotone, raising `T` never takes units away from an edge. -- **Lossy forwarding** (`CostOnly` with `WEIGHTED` or `EQUAL_BALANCED`, and `Pinned`). Each +- **Lossy forwarding** (`CostOnly` with `WEIGHTED` or `EQUAL_BALANCED`, T1 and `Pinned`). Each call's offer is split at every node by the kernel's rule; each edge carries the smaller of what reaches it and its residual, and the rest is dropped on that edge (where several routes of one program meet on an edge, [the loss rule](#losses-inside-one-program) divides what it carries). The delivery is @@ -567,53 +573,84 @@ Global 5 ## 6. The ledger -**In plain words.** A `FlowLedger` holds the traffic placed on one graph: a starting residual -(the baseline) and one record per flow. Policies place and remove its flows; it has no public -placement or removal of its own. Its own `reset()`, rejected while a policy is bound, replaces -the baseline and clears the records. Its residual is always the baseline minus everything its -records hold. +**In plain words.** A `FlowLedger` holds what is placed on one graph, in two projections that are +never added together. The **carried traffic** is a service baseline (the starting residual) and +one record per flow; its residual is always the baseline minus everything the records carry. The +**strict holds** are a reservation baseline and the bandwidth that up T1 tunnels reserve on their +paths; its unreserved capacity is that baseline minus every hold. A hold never polices traffic: +traffic may use bandwidth that is held, and a tunnel may carry more than it holds. Policies +place, hold and remove; the ledger has no public placement, reservation or removal of its own. +Its own `reset()`, rejected while a policy is bound, replaces both baselines and clears the +records. **Exact rules.** -- **`FlowLedger(graph, residual=None)`.** The baseline is an integer array in EdgeId order with +- **`FlowLedger(graph, residual=None, *, unreserved=None)`.** `residual` is the service baseline + B and `unreserved` the reservation baseline R0, each an integer array in EdgeId order with every entry in `[0, capacity_units[e]]` (a physical baseline goes through `to_units` first; - anything above the capacity is rejected); `None` means the capacities. The baseline never - changes except through `reset`. -- **Snapshots.** `allocated()` is the exact sum of every record's edges and `residual()` is - `baseline - allocated()`, both `int64[E]` copies. `capacity_units()` is the graph's view. - `graph()` returns the graph. + anything above the capacity is rejected); `None` means the capacities. `residual` is checked + first, then `unreserved` with the same messages naming it (`unreserved has length , expected + (one entry per edge)`, then `unreserved[] = is outside [0, capacity_units[] = + ]`). The baselines never change except through `reset`. +- **Snapshots.** `allocated()` L is the exact sum of every record's `edges` and `residual()` is + `B - L`; `reserved()` S is the exact sum of every record's `reserved_edges` and `unreserved()` + is `R0 - S`; all four are `int64[E]` copies. Each projection keeps its own bound on every edge + (`0 <= L <= B`, `0 <= S <= R0`); L and S are never added, and `max(L, S)` is no occupancy. T1's + setup reads `unreserved` (other owners' holds included); every forwarding and every `Global` + solve reads `residual`. `capacity_units()` is the graph's view. `graph()` returns the graph. - **Records.** `records()` lists the live records (of bound policies and orphans) as snapshots in FlowId order; `record(flow_id)` reads one. A FlowId is the pair `(ledger uid, id)`; ids are never reused. A FlowId of another ledger, or a retired or unknown id, raises `ValueError`. - **`FlowRecord`** fields: `flow_id`; `owner` (the policy's id); `sources` and `destinations` - (node sets); `admission`; `entry` (a `Pinned` record: the identifier of the program entry it - carries; `None` for the records kept per roster source or per flow); `bundle` (the flow's route - as a `PredDAG`); + (node sets); `admission`; `entry` (a T1 or `Pinned` record: the identifier of the program entry + it carries; `None` for the records kept per roster source); `bundle` (the flow's route as a + `PredDAG`); `route_cost` (the cheapest walk of the bundle, cached; `None` for an empty bundle); `offered` - (Lossy records only, else `None`); `delivered`; `edges` (`[(EdgeId, units)]`, ascending) and - `drops` (`[(EdgeId, units)]`, cumulative, ascending). -- **`bottleneck(sources, elig=None)`** is a saturation report: the edges (eligible, at least 1 - unit of capacity) that leave the set of nodes reachable from the allowed sources over edges - with at least 1 unit of residual, in ascending EdgeId. It follows edges forward only. It ignores - the destinations, so it is not a source-destination cut, and it can be empty while a route - exists. + (Lossy records only, else `None`); `delivered`; `edges` (`[(EdgeId, units)]`, ascending, the + carried traffic), `drops` (`[(EdgeId, units)]`, cumulative, ascending) and `reserved_edges` + (`[(EdgeId, units)]`, ascending: an up T1 tunnel's request on every edge of its path; `[]` for + every other record). +- **`bottleneck(sources, elig=None)`** is a saturation report of the carried traffic (holds play + no part): the edges (eligible, at least 1 unit of capacity) that leave the set of nodes + reachable from the allowed sources over edges with at least 1 unit of residual, in ascending + EdgeId. It follows edges forward only. It ignores the destinations, so it is not a + source-destination cut, and it can be empty while a route exists. - **Lifetimes.** The graph outlives the ledger and the ledger outlives its policies (Python keeps them alive for you). -| Ledger state | Reached by | `reset(residual)` | `copy()` | +| Ledger state | Reached by | `reset(residual=None, *, unreserved=None)` | `copy()` | | --- | --- | --- | --- | | a policy is bound | building a policy on it | `ValueError` | `ValueError` | -| no policy bound | no policy built yet, or every policy destroyed | allowed: orphaned records and their allocations are cleared, their ids retired, the new baseline set | a new ledger with a new uid and the same records and ids | +| no policy bound | no policy built yet, or every policy destroyed | allowed: orphaned records with their allocations and holds are cleared, their ids retired, the new baselines set (`None`: the capacities) | a new ledger with a new uid and the same baselines, records, holds and ids | -A policy destroyed without `remove()` leaves its records and allocations in the ledger as +A policy destroyed without `remove()` leaves its records, allocations and holds in the ledger as **orphans**: readable, never changed again, cleared only by `reset`. +The two projections of one link of 10, where a T1 tunnel holds 6 and +carries 4; a second demand on the same ledger places the residual 6, whatever is held: + +```python +g = graph(2, [(0, 1, 10, 1)]) +ledger = ngc.FlowLedger(g) +t1 = ngc.FlowPolicy(ledger, 0, 1, ngc.FlowPolicyConfig(routing=ngc.CapacityAware(ngc.Tunnels(1)))) +t1.replace(4, design_demand=6) +print(ledger.allocated().tolist(), ledger.residual().tolist(), + ledger.reserved().tolist(), ledger.unreserved().tolist()) +print(ngc.FlowPolicy(ledger, 0, 1, config(ngc.CostOnly())).place(10).placed) +``` + +```text +[4] [6] [6] [4] +6 +``` + ## 7. Policies **In plain words.** A `FlowPolicy` is the routing model of one demand between a set of sources -and a set of destinations. `place(volume)` asks it to carry more; it routes, fills and possibly -grows its flows, commits everything at once, and reports how much was placed, what stopped it, -where traffic was lost and how much each source carried. `evaluate`, `replace` and `forward` ask +and a set of destinations. `place(volume)` asks it to carry more; it routes and fills its flows, +commits everything at once, and reports how much was placed, what stopped it, where traffic was +lost and how much each source carried (T1, whose tunnels are sized for a design volume, takes +whole offers only). `evaluate`, `replace` and `forward` ask for a whole new offer instead (only computed, published, or forwarded over the routes already installed). `remove()` takes all of its traffic back out. A demand with several sources is one demand, not several: how its traffic enters at the sources is its **origin**, and where the routes of its sources meet, their traffic is added @@ -627,7 +664,7 @@ origin=None, weights=None, edge_weights=None)` takes keywords only. The routing | Routing | Models | Fields (defaults) | | --- | --- | --- | | `CostOnly()` | IGP forwarding (as OSPF or IS-IS routers do): static shortest paths, never refreshed; with `MAX_FLOW`, a controller restricted to those paths | none | -| `CapacityAware(...)` | distributed CSPF tunnels (constrained shortest path first: each tunnel head picks a shortest path with enough free capacity) | `flow_count=1`, `max_flow_count=None`, `max_path_cost=None`, `min_flow_bandwidth=0`, `reoptimize=False`, `diminishing=None` | +| `CapacityAware(tunnels, *, max_path_cost=None, min_unreserved_bandwidth=0)` (T1) | distributed strict-bandwidth tunnels, as RSVP-TE head ends set them up: every head runs CSPF for its own tunnels, no controller ([T1](#t1-tunnels-set-up-by-their-heads)) | `tunnels`: a `Tunnels(count)` (`count` tunnels per head); `max_path_cost`: `None`, `Absolute(c)` or `Stretch(f)`; `min_unreserved_bandwidth`: a search minimum in units | | `Global(*, support=None)` | an ideal controller that sees the whole network, or only the edges of `support` | `support`: a `PredDAG` of the graph, or `None` for every eligible edge | | `Pinned(program, *, black_holes=None)` | forwarding over a given program, computing nothing | `program`: a `ForwardingProgram`; `black_holes`: an `Eligibility` whose excluded nodes and edges are black holes, or `None` | @@ -640,10 +677,10 @@ any work, a request of 0 included. A field marked "none" must be left `None`: | `CostOnly` | `WEIGHTED` (WCMP) | `EQUAL` / `EQUAL` | `LOSSLESS`, `LOSSY` | all four fields | `CAPACITY` (default), `EXPLICIT`, `RESIDUAL_SNAPSHOT` | | `CostOnly` | `MAX_FLOW` | `OPTIMIZED` / both | `LOSSLESS` | all four fields | none | | `Global` | none | `OPTIMIZED` / both | `LOSSLESS` | none | none | -| `CapacityAware` | any kernel (required) | `EQUAL` / `EQUAL` | `LOSSLESS` | all four fields | none | +| `CapacityAware` (T1) | none | `EQUAL` / `EQUAL` | `LOSSLESS`, `LOSSY` | `tie_break`, `priority`, `multi_edge` (`multipath=True` rejected) | none | | `Pinned` | none | none (the program has its injection) | `LOSSLESS`, `LOSSY` | none | none | -`selection=None` means `PathSelection()` (`DETERMINISTIC`, `CAPACITY`, `multipath=True`, +`selection=None` means `PathSelection()` (`DETERMINISTIC`, `CAPACITY`, `multipath=None`, `multi_edge=True`) for the routings that read it, `origin=None` the routing's default and `weights=None` `CAPACITY` for `CostOnly` `WEIGHTED`. A policy's `config()` returns the configuration with these filled in (`selection` stays `None` for `Global` and `Pinned`, `origin` @@ -654,13 +691,17 @@ for `Pinned`). Further rules: weights=EXPLICIT`, `edge_weights: expected entries`, `edge_weights[] must be an integer in [0, 2^62)`. The configuration keeps the array by reference: every policy built from it reads the same one. -- `CapacityAware` `WEIGHTED` with priority `HEADROOM` is rejected (its weights come from the - priority values). -- `flow_count >= 1`; `max_flow_count` is `None` (no ceiling) or at least `flow_count`; - `min_flow_bandwidth` is in [0, 2^62) units; `max_path_cost` is `None`, `Absolute(c)` with - `c >= 0` or `Stretch(f)` with `f` finite and at least 1 (as for `ksp`); `diminishing` is `None` - (off) or `DiminishingReturns(window, fraction)` with `window >= 1` and `fraction` strictly - between 0 and 1. +- T1's row: an "up to" count is not T1 (`Tunnels(count, up_to=True)`: `T1 requires an exact + tunnel count`, checked first); `T1 does not accept placement`; `T1 requires origin=EQUAL`; + `T1 requires multipath=False` for `multipath=True`; `T1 does not accept weights` (and + `edge_weights`). Its own fields: the tunnel count in `[1, 10000]` (`tunnel count must be in [1, + 10000]`; `Tunnels(count)` itself takes any 64-bit integer); `max_path_cost` is `None`, + `Absolute(c)` with `c >= 0` or `Stretch(f)` with `f` finite and at least 1 (as for `ksp`); + `min_unreserved_bandwidth` in `[0, 2^62)` units (`min_unreserved_bandwidth must be an integer in + [0, 2^62)`). +- **T1's tunnel limit.** The roster's heads times the tunnel count is at most 2^30 - 1: + `tunnel limit exceeded: heads x tunnels > 1073741823` (no tunnel is made at + construction). - Only `CostOnly` reads a `DagCache`; any other routing given one is rejected. - `Pinned`: the program's sources and destinations must be the policy's (`program endpoints do not match policy endpoints`); any number of each. @@ -678,8 +719,9 @@ the graph of each object the policy is given: the `Eligibility`, the program (`p another graph`), the support (`support belongs to another graph`), the `DagCache`, the black holes (`black_holes belongs to another graph`); enum values outside their enumeration; the table above, its row (routing, then placement) and then its columns left to right (placement, origin, -admission, selection, weights); the cache rule; `CapacityAware`'s own fields; `edge_weights`; the -pooled single-path rule; `Pinned`'s endpoints. +admission, selection, weights; T1's "up to" first); the cache rule; T1's own fields (the tunnel +count, `max_path_cost`, `min_unreserved_bandwidth`); `edge_weights`; the pooled single-path rule; +T1's tunnel limit; `Pinned`'s endpoints. ### The origin @@ -699,15 +741,16 @@ There is no weighted origin; sources with fixed or uneven amounts are separate d ### The source roster -The roster is fixed when the policy is built. For `CostOnly`, `CapacityAware` and `Global` it is +The roster is fixed when the policy is built. For `CostOnly`, T1 and `Global` it is the allowed sources that have a static walk to an allowed destination over allowed edges, whatever their capacity, in ascending node id: a source whose only routes cross an edge of capacity 0 is in the roster, receives its share and cannot place it (a failure is expressed with an Eligibility, which removes the source); `Global` with a support counts only walks inside the support. For `Pinned` it is the program's heads that still reach a destination under the policy's Eligibility ([replay](#replay-under-a-failure)). The roster decides which sources receive shares; for the -computing models it also decides which records exist, while `Pinned` keeps one record per configured -program entry even when no head survives the replay (such a record stays at zero). `by_source` +computing models it also decides which records exist (T1: its heads' entries), while `Pinned` +keeps one record per configured program entry even when no head survives the replay (such a +record stays at zero). `by_source` reports every input source, a source outside the roster with a zero row. A positive request with an empty roster ends `NO_ROUTE`: a computing model creates nothing, and `Pinned` creates or keeps its per-entry records at zero. @@ -725,25 +768,15 @@ per-entry records at zero. is a source) and split once over its members, by round robin (`EQUAL_BALANCED`) or by highest averages over the weights (`WEIGHTED`). Every source that passes a router has the same continuation there, so the union lends no source a link outside its own route. The program is - never refreshed, grown or reoptimised within the epoch. It is the policy's `program`: one split + never refreshed or recomputed within the epoch. It is the policy's `program`: one split context pooled over the roster, one split route per roster source (entry index = roster position, weight 1), equal sources; it lists no tunnel. - **`CostOnly` with `MAX_FLOW`** is a controller restricted to shortest paths: it solves like `Global` (below), but only over the union of the roster sources' routes prepared as above, edges of capacity 0 included (so a zero-capacity shortest route is never bypassed). -- **`CapacityAware`** routes by the canonical path or the DAG of [section 4](#4-search) on the - current free capacity, excluding edges with less than `max(1, min_flow_bandwidth)` units free and - routes above `max_path_cost` (`Stretch` is relative to the static shortest cost, computed when the - policy is built). A source first creates `flow_count` flows, one search at a time, each search - seeing the capacity the earlier ones reserved; with `reoptimize=True` it moves a retained flow to - a newly found route only if the flow keeps its whole amount there; while the offer is not met it - grows its cohort by one flow at a time, up to `max_flow_count`. Growth stops when the new route is - a multipath DAG equal to an existing flow's route (it would add nothing); a repeated single path - is a real candidate (tunnels of equal share fill a fatter path with more tunnels). `diminishing` - stops growth once at least `window` growth steps were accepted in the call and the last `window` - gains sum below `fraction` times the source's (finite) offer. A call creates at most - `MAX_FLOWS_PER_CALL` (10,000) flows over all sources. This mode is greedy: route order matters and - the result is not an upper bound. +- **`CapacityAware` (T1)** sets up its tunnels for a design volume on every `replace` and + `evaluate` and forwards them as its program; it has no incremental `place` + ([T1](#t1-tunnels-set-up-by-their-heads)). - **`Global`** re-solves, on every positive call, the minimum-cost flow of the amount the policy already delivers plus this call's request (`placed_demand()` plus the request; what an earlier call could not place is not requested again) from its roster to its whole @@ -781,8 +814,9 @@ per-entry records at zero. ### Several sources and destinations -- **Destinations** (`CostOnly`, `CapacityAware`): a route goes to the nearest destinations, and - one flow may deliver to several of them at that cost. A record's `delivered` is its total; the +- **Destinations** (`CostOnly`): a route goes to the nearest destinations, and one flow may + deliver to several of them at that cost (a T1 tunnel is one path, to the allowed destination its + CSPF reaches first). A record's `delivered` is its total; the delivery to one destination is the sum of the record's `edges` entering it. - **`CostOnly` split routing pools its sources.** Each record (one per roster source) holds the part of the program's traffic that is that source's. At every router the members' amounts are @@ -794,12 +828,9 @@ per-entry records at zero. source's record uses only edges of its own route. - **The controllers** (`Global`, `CostOnly` with `MAX_FLOW`) optimise the whole roster and destination set together; `Global` may use a costlier destination to carry more. -- **`CapacityAware` sources** act as independent tunnel heads. The policy's cumulative request is - split over the roster by round robin in ascending node id, and each source is offered the - increase of its share in this call (an infinite request offers infinity to every source). - Sources are placed one after another, in ascending node id, on the shared free capacity; what - one source cannot place is not passed to another. A split request is therefore not equivalent - to one large request. +- **T1 heads** share the design and the offer by round robin over the roster in ascending node + id; a head's share goes only to its own tunnels, and what one head cannot carry is lost at that + head, never moved to another. - **`Pinned`** follows its program: its injection over the replay roster, then each head's entries. Two sources with one unit each meet at node 2, whose two members lead to the destination. Pooled, @@ -857,8 +888,8 @@ source 0 excluded 10 ### Forwarding programs **In plain words.** A program is what a routing decided, written down: which routes each source -uses and in which integer proportions. CostOnly and Global produce one (`policy.program`, -`result.program`; CapacityAware has none until its tunnels arrive). `Pinned(program)` forwards a program without computing anything: to replay a +uses and in which integer proportions. CostOnly, Global and T1 produce one (`policy.program`, +`result.program`). `Pinned(program)` forwards a program without computing anything: to replay a solution on another ledger, to study a failure (the routers drop the failed routes and split over the survivors) or to study the moment before anyone reacts (the failed elements swallow what reaches them). `ForwardingProgram.from_routes` builds a program from routes you give. @@ -869,13 +900,18 @@ reaches them). `ForwardingProgram.from_routes` builds a program from routes you `destinations` (the normalised sets), `tunnels` (the tunnel entries in ascending `index`; split routes are not listed) and `source_weights` (`None` for equal sources). A `Tunnel` has `index`, `head`, `local_index` (its position among its head's entries of both kinds), `destination`, - `edges` (in path order), `route_cost` and `weight`. It has no public constructor. -- **Injection.** A total `x` enters at the roster either by round robin (**equal sources**) or by + `edges` (in path order), `route_cost` (these three `None` for a tunnel T1's setup left down), + `status` (`UP`, or a down tunnel's `NO_BANDWIDTH` or `COST_CEILING`), `requested` and + `reserved` (T1's request and what it holds on every edge of its path: the request when up, else + 0; 0 for the other producers) and `weight`. It has no public constructor. +- **Injection.** A total `x` enters at the roster (the heads with an entry; for T1 the policy's + roster, a head without an up tunnel included) either by round robin (**equal sources**) or by highest averages over the captured source weights; each head then splits its share by highest averages over its entries' weights (equal weights give round robin). A head whose entries all have weight 0 loses its share at the source. Identical routes are never merged: each entry takes its own share. -- **Entry identifiers.** Controller paths are numbered in decomposition order; a `CostOnly` split +- **Entry identifiers.** T1 tunnels are numbered `j * H + i` (round `j`, roster position `i`, `H` + heads); controller paths are numbered in decomposition order; a `CostOnly` split program numbers its routes by roster position; supplied routes keep their position in the list (a split route uses its position too, so tunnel indices can skip it). Records (`entry`) and `by_tunnel` rows (`index`) use the same identifier. @@ -911,11 +947,12 @@ reaches them). `ForwardingProgram.from_routes` builds a program from routes you A `Pinned` policy's Eligibility is the failure being studied (local repair): - A tunnel that touches an excluded node or edge is `FAILED` and gets nothing; replay never - computes a replacement path. + computes a replacement path. A tunnel T1's setup left down stays down with its status: replay + never brings one up. - A split route loses its excluded members and the branches left without a destination; members of capacity 0 stay (`EQUAL_BALANCED` still sends them their share). - The roster is rebuilt from the program's **basis**, ignoring capacities and weights: for an - unrestricted controller the topology under the producing policy's exclusions, for `CostOnly`, + unrestricted controller and T1 the topology under the producing policy's exclusions, for `CostOnly`, a supported `Global` and supplied routes the original routes, each together with the policy's exclusions. A head that no longer reaches a destination leaves the pool (equal sources: its share moves to the others); a head that still reaches one but has no surviving entry keeps its @@ -935,7 +972,8 @@ same on every edge entering it; a black-holed source loses its own share as `sou runs the loss rule below with those edges serving 0; Lossless admits only totals that put nothing on a black hole. A tunnel that is up but whose path reaches a black hole is `BLACKHOLED` in `by_tunnel`, its traffic dropped at the first black hole on its path. The policy's Eligibility -applies first: an element both excluded and black-holed is excluded. +applies first: an element both excluded and black-holed is excluded. A down tunnel keeps its +setup status. A program forwarded by `Pinned` books no hold, whatever its producer. ```python # Two parallel edges of 4 and 8: the duplicate tunnel takes its own share. @@ -1051,6 +1089,103 @@ lossy forwarding iteration entered a period-2 cycle In the first program the second edge of 2 on tunnel 0 drops 4 of its 6. In the cycle, the rounds from zero alternate between two states, so the call raises and publishes nothing. +### T1: tunnels set up by their heads + +**In plain words.** `CapacityAware(Tunnels(N))` models distributed RSVP-TE: there is no +controller, and each head (a roster source) sets up its own N tunnels. A design volume D is split +equally over the heads and each head's share equally over its N tunnels; each tunnel asks for +that bandwidth. One tunnel at a time, in rounds over the heads, the head keeps the links with +enough unreserved bandwidth and takes the shortest path: the tunnel comes up and holds exactly its +request on every link of its path, or it stays down and holds nothing. Real traffic then enters +equally at the heads and splits equally over each head's tunnels that are up; a head with no +tunnel up loses its share, and no one moves it elsewhere. Holds are the ledger's second +projection ([section 6](#6-the-ledger)): they decide which tunnels come up, never what traffic +gets through. + +**Exact rules.** + +- **Sizing.** `H` roster heads in ascending node id, `N = tunnels.count`. Head `i`'s design + share is `RR(D, H, i)` (`plan.head_design`), its tunnel `j`'s request `RR(share, N, j)`: the + tunnels of one head differ by at most one unit. Tunnels are numbered in round order (round `j = + 0..N-1`, the heads ascending within a round): entry index `j * H + i`, local index `j`; this is + also the setup order. An empty roster gives an empty program. +- **The setup view U** of an edge is the ledger's unreserved capacity with this policy's own holds + released (never above the capacity). Every attempt runs, also after failures, on U minus the + requests of the tunnels already up in this setup. +- **One attempt (CSPF)** with request `b` keeps the allowed edges with `U >= max(b, + min_unreserved_bandwidth)` (a request of 0 with a minimum of 0 keeps every allowed edge, one of + capacity 0 included), then with `multi_edge=False` one member per pair by the member rule (the + filter first, then the member rule, at every attempt), then takes the canonical single path of + [section 4](#the-canonical-single-path) on static costs toward the allowed destinations: the + lowest cost; under `PREFER_HIGHER_PRIORITY` the larger bottleneck priority; fewer hops; the + smaller EdgeId sequence. The priorities read U: `RESIDUAL` U, `HEADROOM` U divided by the + capacity (exactly; 0 on an edge of capacity 0), `CAPACITY` the capacity. +- **The ceiling.** `Absolute(c)` admits a path of cost at most `c`. `Stretch(f)` admits a cost at + most `f` times `c0` exactly (`f` read as the binary fraction it is), `c0` the smallest static + shortest cost over all roster heads under the policy's Eligibility, edges of capacity 0 + included, before any bandwidth filter: one baseline for the whole pool, fixed when the policy is + built. +- **Statuses.** `UP`: the tunnel holds `b` on every edge of its path (its record's + `reserved_edges`) and has weight 1. `NO_BANDWIDTH`: no path passes the filter. `COST_CEILING`: + the cheapest filtered path exceeds the ceiling. A down tunnel keeps its request, has no + destination, path or cost (`None`), has weight 0 and holds nothing. There is no partial hold, + retry, growth or count reduction; `min_unreserved_bandwidth` filters searches and is never held. +- **Forwarding** is the program's: a total `x` enters as `RR(x, H, i)` at head `i`, then round + robin over that head's up tunnels in local order. A head with no up tunnel keeps its share and + loses it (Lossy: `source_loss`; Lossless admits only totals that give it nothing, + [the equal origin](#the-equal-origin-and-a-source-that-cannot-pass-anything)); the demand is + never renormalised over the heads that have tunnels. Changing only the offer never changes the + setup. When every tunnel is up and U is at most the residual on every edge, D itself is carried + losslessly. Holds do not police: a tunnel carries what forwarding gives it within the residual, + more than its hold when the edges have room, and its traffic meets every other demand's on the + residual. T1 reports no `total_cost`, `min_cut` or `cost_distribution`. +- **Operations.** No `place` (`T1 does not support incremental placement`, `place(0)` too). + `replace(offer, design_demand=D)` releases the policy's own holds and traffic, sets up again and + forwards; `evaluate` computes the same and publishes nothing (no record, no hold); + `forward(offer)` forwards the installed program and keeps its tunnels and holds (the new records + carry the same `reserved_edges`). `design_demand=None` means `D = offer`; an infinite offer needs + a finite design (`T1 requires a finite design demand`). A full zero offer such as `replace(0, + D)` still sets up and books the holds. `remove()` releases both projections. +- **Records and rows.** One record per program entry in index order (`entry` = the index), a down + tunnel's included (zero, an empty bundle, `route_cost` `None`). `by_tunnel` shows a down + tunnel's setup status and `UP`, or `BLACKHOLED` in stale forwarding; a `Pinned` replay of a T1 + program shows `FAILED` for an up tunnel its mask touches, keeps a down tunnel down and holds + nothing. +- **The plan.** `result.plan` is a `TunnelPlan` of the program after the call: `count` (N), + `design_demand` (D), `head_design` (`(head, RR(D, H, i))` for every roster head) and + `reserved_total` (the up tunnels' requests, each counted once). It is `None` for every other + routing, `Pinned` over a T1 program included. + +A T1 call: head 0's only edge has 2 units, head 1's has 10, two tunnels per head: + +```python +g = graph(3, [(0, 2, 2, 1), (1, 2, 10, 1)]) +ledger = ngc.FlowLedger(g) +lossy_t1 = ngc.FlowPolicyConfig(routing=ngc.CapacityAware(ngc.Tunnels(2)), + admission=ngc.Admission.LOSSY) +pol = ngc.FlowPolicy(ledger, [0, 1], 2, lossy_t1) +r = pol.replace(12, design_demand=12) +print([t.status.name for t in r.program.tunnels]) +print([(t.index, t.head, t.requested, t.reserved, t.edges) for t in r.program.tunnels]) +print(r.placed, r.call_source_loss, r.plan.reserved_total, r.plan.head_design) +print(ledger.reserved().tolist(), ledger.unreserved().tolist(), ledger.residual().tolist()) +r = pol.forward(8) +print(r.placed, r.call_source_loss, r.reservations_changed, ledger.reserved().tolist()) +``` + +```text +['NO_BANDWIDTH', 'UP', 'NO_BANDWIDTH', 'UP'] +[(0, 0, 3, 0, None), (1, 1, 3, 3, (1,)), (2, 0, 3, 0, None), (3, 1, 3, 3, (1,))] +6 6 6 ((0, 6), (1, 6)) +[0, 6] [2, 4] [2, 4] +4 4 False [0, 6] +``` + +Each head's share is 6, so every tunnel asks for 3. Head 0's edge has 2 units unreserved: both of +its tunnels are down. Head 1's two tunnels come up on edge 1 and hold 6 of its 10. The offer of 12 +enters as 6 and 6: head 0 loses its 6, head 1's tunnels carry 3 and 3. `forward(8)` keeps the +tunnels and the holds; head 0 still loses its share, now 4. + ### The placement call `place(volume, outputs=None)` takes a request in units (an `int`) or `float('inf')`. @@ -1072,9 +1207,8 @@ from zero alternate between two states, so the call raises and publishes nothing requires a finite offer`); for `CostOnly` it is the **first-hop experiment**: each source injects on each of its first edges exactly that edge's residual, on top of the traffic other sources send through it, and forwarding runs as usual. 4. **The controllers** re-solve as described above. -5. **`CapacityAware`** runs, per source and on one shared working copy of the free capacity: - creation (while the source has no flows), reoptimisation (with `reoptimize`), filling (each - flow, or each equal-share cohort, raised toward its maximum), growth. +5. **T1** has no `place`: every call raises `T1 does not support incremental placement`, before + anything else (a request of 0 too); its calls are `replace`, `evaluate` and `forward`. 6. **Commit.** All changes to the ledger and the policy are committed together at the end, or none are ([section 8](#8-failures-threads-and-lifetimes)). @@ -1083,18 +1217,15 @@ What the call guarantees: - `placed` is the increase in delivery made by this call, and `0 <= placed <= volume`. For Lossy it is this call's delivery. `remaining = volume - placed` (`float('inf')` for an infinite request; for Lossy it includes what was lost). -- A `place` call never reduces `placed_demand()`, the sum of `delivered` over the policy's records. The - total of an equal-share cohort never decreases; one tunnel's amount can decrease when growth - re-splits a larger total over more tunnels (`[3, 3]` plus a new tunnel can become - `[3, 2, 2]`). +- A `place` call never reduces `placed_demand()`, the sum of `delivered` over the policy's records. - The first positive request creates the policy's records even when none of them can deliver - anything yet (`CapacityAware` only creates a flow on a route it finds). Such a zero-delivery + anything yet. Such a zero-delivery record keeps its FlowId for the rest of the epoch and can fill on a later call. - **Additivity.** With the rest of the network unchanged between the calls, `place(a); place(b)` equals `place(a + b)` exactly for Lossless `CostOnly` split routing, the controllers (value, allocation and cost curve) and Lossless `Pinned`. Lossy calls are not additive: each forwards its own injection on the free capacity the earlier calls left, and - nothing is offered again. `CapacityAware` sources are not additive. + nothing is offered again. ### Epochs @@ -1134,20 +1265,24 @@ view**: the ledger's residual with the policy's own traffic given back. | Call | What it does | Routings | | --- | --- | --- | -| `evaluate(offer, *, outputs=None)` | computes and forwards `offer` from the released view as a fresh epoch would, and reports it; publishes nothing and creates no record | all | -| `replace(offer, *, outputs=None)` | the same computation, then published at once: the old records are retired, new ones created, the new program installed, a new epoch begun with `requested = offer`; delivery may go down | all | -| `forward(offer, *, black_holes=None, outputs=None)` | forwards a full new offer over the installed program with no route computation (weights stay frozen, a controller does not re-solve), on the released view, then publishes like `replace`; `black_holes` forwards it stale for this call | `CostOnly` and `Global` with an installed program; `Pinned` uses `replace` | +| `evaluate(offer, *, design_demand=None, outputs=None)` | computes and forwards `offer` from the released view as a fresh epoch would (T1: sets up on its unreserved view with its own holds released), and reports it; publishes nothing, creates no record and books no hold | all | +| `replace(offer, *, design_demand=None, outputs=None)` | the same computation, then published at once: the old records and holds are retired, new ones created, the new program installed, a new epoch begun with `requested = offer`; delivery may go down | all | +| `forward(offer, *, black_holes=None, outputs=None)` | forwards a full new offer over the installed program with no route computation and no setup (weights stay frozen, a controller does not re-solve, T1 keeps its tunnels and holds), on the released view, then publishes like `replace`; `black_holes` forwards it stale for this call | `CostOnly`, `Global` and T1 with an installed program; `Pinned` uses `replace` | - `placed` of a full-offer call is its whole new delivery and `delivery_delta` the new delivery minus the old (it may be negative). A later `place` continues the epoch a `replace` or a `forward` began (its records keep their ids). - With other owners fixed, identical full inputs give identical results, except fresh record ids. - `forward`'s checks, in order: `Pinned forwards with replace`; `forward requires an installed - program` (also after `remove()`, and always for `CapacityAware`); the offer; a Lossy `+inf` - (`LOSSY forwarding requires a finite offer`, as for `evaluate` and `replace` and Lossy - `Pinned`); the black holes' graph (`black_holes belongs to another graph`). -- `CapacityAware` has no program: its `evaluate` and `replace` run `place(offer)` on a fresh - epoch over the released view. + program` (also after `remove()`); the offer; a Lossy `+inf` (`LOSSY forwarding requires a finite + offer`, as for `evaluate` and `replace` and Lossy `Pinned`); the black holes' graph + (`black_holes belongs to another graph`). +- **`design_demand`** belongs to T1 alone (every other routing raises ` does not accept + design_demand`, the model `CostOnly`, `Global` or `Pinned`): an integer in `[0, 2^62)` or + `float('inf')` (else `design_demand must be an integer in [0, 2^62) or permitted +inf`); `None` + means equal to the offer; T1 needs it finite (`T1 requires a finite design demand`, also for an + infinite offer without a design). It never accumulates. `evaluate` and `replace` check the + offer, then a Lossy `+inf`, then the design (the routing, its domain, finiteness). ```python g = graph(2, [(0, 1, 10, 1), (0, 1, 10, 1)]) @@ -1179,39 +1314,28 @@ applies (an invalid call raises instead): | --- | --- | | `COMPLETE` | the request is 0 | | `NO_ROUTE` | the request is positive and the roster is empty (`Pinned`: the replay roster) | -| `NO_ACTIVE_WEIGHT` | routes exist, but nothing can be sent anywhere: every `WEIGHTED` member has weight 0, or no head with a positive injection weight has a surviving entry of positive weight | +| `NO_ACTIVE_WEIGHT` | the program has an entry with a path (an up tunnel, a controller path or a split route), but nothing can be sent anywhere: every `WEIGHTED` member has weight 0, or no head with a positive injection weight has a surviving entry of positive weight (routes of weight 0, every up tunnel failed). A program whose tunnels are all down (T1) is not this case: it goes on to the rows below, every share lost at its head | | `COMPLETE` | Lossy with a finite request: the whole request was forwarded, and delivery and losses account for all of it (it does not mean nothing was lost) | | `COMPLETE` | Lossless: the whole request was admitted | | `EXHAUSTED` | otherwise: Lossless below the request, any infinite request (the first-hop experiment included), a controller whose maximum is 0 over existing routes | -`CapacityAware` keeps its own reduction over its sources. Each roster source ends the call -served (its offer is 0 or was delivered) or with the first local outcome that applies: -`LIMIT_FLOWS` (creation or growth was stopped by `MAX_FLOWS_PER_CALL`, or by `max_flow_count` when -`max_flow_count > flow_count`), `LIMIT_DIMINISHING` (the `diminishing` guard stopped growth), -`NO_ROUTE` (the source has no flows after the call), else `EXHAUSTED` (every flow at its maximum and -growth found nothing that helps, a costlier helpful route may still exist; or a fixed-size cohort -is full). A request of 0 is `COMPLETE` and an empty roster `NO_ROUTE`; otherwise the call is -`COMPLETE` when every source is served, else the highest outcome among the unserved sources in the -order `LIMIT_FLOWS` > `LIMIT_DIMINISHING` > `EXHAUSTED` > `NO_ROUTE`. `LIMIT_FLOWS` is reported when -the ceiling is reached before the offer is met, even if no further route would have existed. - `remaining` is an amount, never a status: a Lossy call can be `COMPLETE` with a positive `remaining`. ```python -# Source 0 has two disjoint 1-unit tunnels to node 4; source 1 one 1-unit edge. -g = graph(5, [(0, 2, 1, 1), (0, 3, 1, 1), (2, 4, 1, 1), (3, 4, 1, 1), (1, 4, 1, 1)]) -tunnel = ngc.PathSelection(ngc.EdgeTieBreak.DETERMINISTIC, ngc.EdgePriority.RESIDUAL, - multipath=False) - def show(r): print(r.placed, r.termination.name, [(row.source, row.delivered) for row in r.by_source]) -# Request 10: each source is offered 5. Source 0 stops at its ceiling of 2 tunnels. -pol = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 4, - config(ngc.CapacityAware(max_flow_count=2), ngc.FlowPlacement.MAX_FLOW, - selection=tunnel)) -show(pol.place(10)) +# Every tunnel down: five edges, the design 14 asks 7 per tunnel and no path has 7. +g = graph(4, [(0, 1, 6, 1), (0, 2, 6, 3), (1, 2, 4, 1), (1, 3, 6, 3), (2, 3, 6, 1)]) +for admission in (ngc.Admission.LOSSY, ngc.Admission.LOSSLESS): + all_down = ngc.FlowPolicyConfig(routing=ngc.CapacityAware(ngc.Tunnels(2)), admission=admission) + r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, all_down).replace(14, design_demand=14) + print(admission.name, [t.status.name for t in r.by_tunnel], r.call_source_loss, end=" ") + show(r) + +# One edge for source 1 to node 4. +g = graph(5, [(0, 2, 1, 1), (0, 3, 1, 1), (2, 4, 1, 1), (3, 4, 1, 1), (1, 4, 1, 1)]) # Weights from the residual where another demand holds the only edge: no positive weight. ledger = ngc.FlowLedger(g) @@ -1222,31 +1346,39 @@ show(ngc.FlowPolicy(ledger, 1, 4, weighted).place(1)) ``` ```text -3 LIMIT_FLOWS [(0, 2), (1, 1)] +LOSSY ['NO_BANDWIDTH', 'NO_BANDWIDTH'] 14 0 COMPLETE [(0, 0)] +LOSSLESS ['NO_BANDWIDTH', 'NO_BANDWIDTH'] 0 0 EXHAUSTED [(0, 0)] 0 NO_ACTIVE_WEIGHT [(1, 0)] ``` +Both of T1's tunnels are down, so the program has no entry with a path: Lossy forwards the whole +offer and loses it at the head (`COMPLETE`), Lossless admits nothing (`EXHAUSTED`). The Weighted +route has an entry with a path whose only member has weight 0: `NO_ACTIVE_WEIGHT`. + ### Flags -`routes_changed` and `weights_changed` start false in every call and record only changes that -were committed; a call that raises publishes nothing. For the routings with a program they -compare the installed program before and after the call (no program counts as an empty one): -`routes_changed` the ordered heads, each entry's kind and route (a tunnel's path, a split route's -members), duplicates included; `weights_changed` the injection (equal or the captured weights, by -value) and every entry and split-table weight. Hence: +`routes_changed`, `weights_changed` and `reservations_changed` start false in every call and +record only changes that were committed; a call that raises publishes nothing (`evaluate` reports +what `replace` would set). They compare the installed program before and after the call (no +program counts as an empty one): `routes_changed` the ordered heads, each entry's kind and route +(a tunnel's path, a split route's members), duplicates included; `weights_changed` the injection +(equal or the captured weights, by value) and every entry and split-table weight, an entry absent +from one program counting as weight 0; `reservations_changed` every tunnel's `requested` and +`reserved` amounts by index, an absent tunnel counting as 0 (only T1 sets it). Hence: | Committed change | `routes_changed` | `weights_changed` | | --- | --- | --- | -| the epoch's first nonempty program (`CostOnly` and the controllers' first positive call, a `replace`, `replace(0)` included) | true | true | +| the epoch's first nonempty program (`CostOnly` and the controllers' first positive call, a `replace`, `replace(0)` included) | true | true when some entry has a positive weight (a T1 program whose tunnels are all down: false) | +| a T1 setup whose paths or up and down tunnels differ from the installed one's (requests changed too: `reservations_changed`) | true | true when a tunnel came up or went down | | an empty program over no program or an empty one (a call with an empty roster, `replace(0)` included) | false | false | | a controller's re-solve that moves a source's share to other edges, also with `placed == 0` | true | true unless the entries keep their number and amounts | | a controller's re-solve that changes only a path's amount (`Global` `place(5)` then `place(5)` on one path) | false | true | | an offer-only call over an unchanged program: `forward`, `Pinned`, `CostOnly` increments, an identical `replace` (new ids) | false | false | -| `CapacityAware`: records are created (also at zero delivery, possibly on a later call), growth adds a flow (routes belong to flows) | true | unchanged | -| `CapacityAware`: a retained flow moves to a new route (`reoptimize`) | true | true when a `WEIGHTED` flow's weights were captured again (also when the call places nothing) | | nothing of the above: `place(0)` (a request of 0, which prepares and installs nothing, unlike a full zero offer such as `replace(0)`, which follows the rows above), rejected candidates only | unchanged | unchanged | -A `CapacityAware` candidate route equal to the flow's current route is not a change. +`reservations_changed` is true exactly when some tunnel's `requested` or `reserved` amount changed +by index: a T1 `replace` (or `evaluate`) whose design or setup differs, even over unchanged +paths; it is never set by `forward`, by `Pinned` or by the other routings. ```python # A first request on a route whose only unit another demand holds. @@ -1269,12 +1401,13 @@ print(r.placed, r.termination.name, r.routes_changed, r.weights_changed, after it (totals over the epoch); a per-call loss field carries the `call_` prefix, a state field does not, so the two are never confused. -- **This call**: `placed`, `remaining`, `termination`, `routes_changed` and `weights_changed` as - above; `delivery_delta`, the change of the delivery (for `place` it equals `placed`); +- **This call**: `placed`, `remaining`, `termination`, `routes_changed`, `weights_changed` and + `reservations_changed` as above; `delivery_delta`, the change of the delivery (for `place` it equals `placed`); `call_drops`, this call's drops per edge as `[(EdgeId, units)]`; `call_source_loss`, the units this call lost at sources. - **The demand's state**: `program` (the installed `ForwardingProgram`, `evaluate`'s computed one; - `None` before the epoch's first preparation, after `remove()` and for `CapacityAware`), + `None` before the epoch's first preparation and after `remove()`), `plan` (T1: the `TunnelPlan` + of that program, [T1](#t1-tunnels-set-up-by-their-heads); `None` for every other routing), `requested` (the sum of the requests, `float('inf')` after an infinite one), `offered`, `admitted`, `delivered`, `unadmitted`, `source_loss`, `drops` (per edge, as `[(EdgeId, units)]`), `by_source`, `by_tunnel` and `total_cost`. Every amount is an exact Python integer and @@ -1291,22 +1424,25 @@ does not, so the two are never confused. totals, with one exception: a Lossy positive request with an empty roster reports `offered = requested` and all of it as `source_loss`, lost before entering, while every row stays zero. - **`by_tunnel`** is a tuple of `TunnelFlow` rows, one per program tunnel in ascending `index` - (empty without tunnels): `index`, `head`, `status` (`UP`, `FAILED`, `BLACKHOLED`), `assigned` + (empty without tunnels): `index`, `head`, `status` (`UP`; `NO_BANDWIDTH` or `COST_CEILING` for a + tunnel T1's setup left down; `FAILED` or `BLACKHOLED` in this forwarding), `assigned` (its injected share), `delivered` and `dropped`. It is another view of the same traffic as `by_source`, never added to it. - **`total_cost`**: the controllers only, the exact `sum(cost[e] * flow[e])` of the policy's - allocation; `None` otherwise. + allocation; `None` otherwise (T1 and `Pinned` included). - **`cost_distribution`**: unrestricted `Global` with `OPTIMIZED` origin only, the marginal cost curve of the policy's cumulative flow (a request of 0 reports it unchanged; `None` before the epoch's first positive call). `None` for every other mode, `EQUAL` origin included: the marginal costs of an equal flow need not increase. For other modes, the sum of `(route_cost, delivered)` over the records is a histogram of delivery by each record's cheapest walk cost: the cost every unit - travels at for `CostOnly` split routing and `CapacityAware`, whose routes have one cost, but not + travels at for `CostOnly` split routing and T1, whose routes have one cost, but not for a split route whose walks differ in cost. - **Optional outputs**, `None` unless requested through `OutputOptions(edge_flows=False, - residual=False, bottleneck=False, min_cut=False)`: `edge_flows` is the policy's own allocation - per edge after the call (the ledger's total is `allocated()`); `residual` and `bottleneck` are - the ledger's after the call; `min_cut` is described below. + residual=False, bottleneck=False, reservation_edge_flows=False, min_cut=False)`: `edge_flows` is + the policy's own allocation per edge after the call (the ledger's total is `allocated()`); + `residual` and `bottleneck` are the ledger's after the call; `reservation_edge_flows` is the + policy's own holds per edge after the call (zeros for a routing without holds; the ledger's + total is `reserved()`); `min_cut` is described below. - **`bottleneck` and `min_cut` are different things.** `bottleneck` is the saturation report of [section 6](#6-the-ledger), available in every mode. `min_cut` exists only for unrestricted `Global` with `OPTIMIZED` origin: the edges of a minimum cut of the policy's view, the one on the sources' side: @@ -1354,16 +1490,19 @@ threads; ledgers, policies and building caches have one writer at a time. Worker threads are always joined first; an exception never escapes a worker. When several pairs or candidates of an evaluator fail, the exception of the lowest index is raised. - **Limit 1: pybind11's own object machinery.** Constructing a bound object from Python (any of - the library's classes) and converting a returned value into a new Python object or container - outside the library's checked result construction (for example `PredDAG.from_csr`, - `Graph.eligibility`, `SensitivityResult.baseline`, `FlowPolicy.records()`) use pybind11's own + the library's classes), parsing the arguments of a call that passes keywords, and converting a + returned value into a new Python object or container outside the library's checked result + construction (for example `PredDAG.from_csr`, `Graph.eligibility`, `SensitivityResult.baseline`, + `PlacementResult.termination`, `TunnelFlow.status`, `CapacityAware.max_path_cost`, + `FlowPolicyConfig.routing`) use pybind11's own allocation paths, which do not all check for failure. A memory failure at exactly that point may crash the process instead of raising. Library state is never left half-changed by it. The results of `spf`, `ksp`, `resolve_to_paths`, `ForwardingProgram.from_routes`, `FlowPolicy.place`, `evaluate`, `replace` and `forward`, `capacity`, `batch_capacity` and `sensitivity` are built through a checked path and stay inside the guarantee, and so are the shared values and rows the - result objects hand out (`program`, `by_source`, `by_tunnel`, `tunnels`, a record's `bundle`, - `FlowLedger.graph`, `Eligibility.intersect`). + result objects hand out (`program`, `plan`, `by_source`, `by_tunnel`, `tunnels`, a tunnel's + `status`, a record's `bundle`, `records()` and `record()` of a policy and a ledger, + `CapacityAware.tunnels`, `FlowLedger.graph`, `Eligibility.intersect`). - **Limit 2: a `DagCache` passed to the call.** A building cache is a memo: when a call fails after some cache lookups succeeded (a policy constructor failing after its lookup, an evaluator failing midway), the cache keeps those complete entries and their statistics. It never holds a @@ -1378,11 +1517,12 @@ threads; ledgers, policies and building caches have one writer at a time. the graph, ledger, Eligibility and cache alive while a policy needs them. - **Exception classes.** `ValueError` for a value outside its domain, an invalid combination, a foreign object (a value of another graph, ledger or policy) or a call in the wrong state; - `TypeError` for a field or option that does not exist (for example `CostOnly(flow_count=2)`), + `TypeError` for a field or option that does not exist (for example + `CostOnly(tunnels=ngc.Tunnels(2))`), an argument of the wrong type, or an argument that cannot be converted to its parameter's type: an integer beyond the float range where a float is expected (the `resolution` of `Graph`, `to_units` and `as_float`) is a `TypeError`. The fields that convert their own values (the - factor of `Stretch`, the fraction of `DiminishingReturns`, the request of `place`) raise + factor of `Stretch`, the request of `place`) raise `ValueError` for such an integer and pass on unchanged any exception raised by the value's own conversion (its `__float__` or `__index__`), whatever its class. `DagCacheMiss` for a miss in a frozen cache (its own class, neither a `ValueError` nor a `RuntimeError`). @@ -1415,7 +1555,7 @@ error). - **Binding and key.** `DagCache(graph)` is bound to one graph (`graph_uid()`). The key is `(the root set as a sorted set, the direction, the Eligibility uid)`. The value is the full - static shortest-path DAG: the DAG with `multipath=True`, `multi_edge=True` and no residual. Values are + static shortest-path DAG: the DAG of every equal-cost walk (`multipath` `None` or `True`), `multi_edge=True` and no residual. Values are immutable and stay valid after `clear()` and after the cache is destroyed. - **Selection is never cached.** The single path and the member rule are applied when a flow is created, on the cached DAG, reading priorities from the residual at that moment for @@ -1484,19 +1624,26 @@ answers can differ from placing into a ledger that other demands already occupy. **Exact rules.** -- **`QueryOptions(config, *, elig=None, cache=None, outputs=None, offered=None)`** is the one - options type of the three evaluators: the configuration, the static Eligibility (`None`: - everything allowed), the DagCache (`None`: a private cache per worker), the optional outputs of - each result (`sensitivity`: of its baseline) and the Lossy offer (`offered`: an integer in - `[0, 2^62)` or `float('inf')`, else `offered must be an integer in [0, 2^62) or permitted - +inf`). +- **`QueryOptions(config, *, elig=None, cache=None, outputs=None, design_demand=None, + offered=None)`** is the one options type of the three evaluators: the configuration, the static + Eligibility (`None`: everything allowed), the DagCache (`None`: a private cache per worker), the + optional outputs of each result (`sensitivity`: of its baseline), T1's design (`design_demand`) + and the Lossy offer (`offered`), each an integer in `[0, 2^62)` or `float('inf')` (else + ` must be an integer in [0, 2^62) or permitted +inf`). - **`capacity(graph, sources, destinations, opts)`** is `place(float('inf'))` of a `FlowPolicy` with `opts.config` on a fresh ledger of the graph, and returns its `PlacementResult`; `Pinned` Lossy places `place(offered)` instead. The offer rules, checked with the arguments: `Pinned` Lossy requires a finite `offered` (`Pinned LOSSY capacity requires finite offered`); `CostOnly` Lossy is the first-hop experiment and takes none (`CostOnly LOSSY capacity uses first-hop injection`); every Lossless configuration takes none (` LOSSLESS capacity does not accept - offered`, the model `CostOnly`, `Global`, `Pinned` or `T1` for `CapacityAware`). The exact maximum flow is the configuration + offered`, the model `CostOnly`, `Global`, `Pinned` or `T1`). **T1** evaluates its design + instead: `evaluate(float('inf'), design_demand=D)` Lossless (the lossless bound of the tunnels set + up for D), `evaluate(offered, design_demand=D)` Lossy. Its design is always required (`T1 capacity + requires design_demand`) and finite (`T1 requires a finite design demand`), in both admissions + (the scalar rule "`None` means the offer" does not apply here); Lossy also requires a finite + `offered` (`T1 LOSSY capacity requires finite offered`). Every other routing rejects a design + (` does not accept design_demand`). The order: `offered`'s domain, the design's domain, + the routing accepts a design, T1's design given, finite, then the offer rules above. The exact maximum flow is the configuration `Global()` (its default origin is `OPTIMIZED`): its result carries the marginal cost curve and, with `OutputOptions(min_cut=True)`, the minimum cut. With `EQUAL` origin it is the largest total whose equal shares all fit. @@ -1506,11 +1653,12 @@ answers can differ from placing into a ledger that other demands already occupy. entry per pair). Everything is validated before any worker starts: first the arguments (the worker count, the graph of `opts.elig` and of the cache, the cache rule, `Pinned`, which is rejected because a program fixes its endpoints (`batch_capacity does not accept Pinned`), the - configuration, then the length of + configuration, the design and offer rules of `capacity`, then the length of `per_pair_elig`), then each pair completely (its endpoint sets, their overlap, its Eligibility's graph, the pooled single-path rule of [section 7](#configuration) for its sources) in pair order, so the error of the lowest failing pair is the one raised. - An empty batch returns `[]`. + An empty batch returns `[]`. Nothing is shared between pairs: each sets up and places on its own + fresh ledger, holds included. - **`sensitivity(graph, sources, destinations, opts, workers=None)`** returns a `SensitivityResult`: `baseline` (the result of `capacity`, with the requested outputs) and `entries`, one `SensitivityEntry(edge, loss)` per candidate edge, in ascending EdgeId. @@ -1525,7 +1673,9 @@ answers can differ from placing into a ledger that other demands already occupy. path, or a source behind it no longer holds the equal origin back). Unrestricted `Global` with `OPTIMIZED` origin computes each deletion by repairing a copy of the baseline's solve, which gives exactly the value of a fresh solve; with `EQUAL` origin or a support each deletion is - solved afresh. `Pinned` replays the same program under each deletion (a fixed-route failure + solved afresh. T1 sets up again for the same design under each deletion (every allowed edge is + a candidate; deleting an edge of capacity 0 can take a head out of the roster and raise the + total). `Pinned` replays the same program under each deletion (a fixed-route failure question, not a new optimum): deleting an edge of a tunnel fails that tunnel. `CostOnly` gives loss 0 without recomputation to an edge outside the static shortest-path support reachable from the roster sources (no route can use it); these are equivalent forms of the @@ -1583,19 +1733,21 @@ self-contained: | `netgraph/core/search.hpp` | `spf`, `ksp`, `resolve_to_paths`, `SpfOptions`, `SpfResult`, `KspOptions`, `SpfQueue` | | `netgraph/core/flow_record.hpp` | `FlowId`, `Counter128` (the 128-bit cumulative counter), `FlowRecord` | | `netgraph/core/flow_ledger.hpp` | `FlowLedger` | -| `netgraph/core/flow_policy.hpp` | `FlowPolicy`, its configuration and result types (`SourceFlow` and `TunnelFlow` among them), `Termination`, `kMaxFlowsPerCall` | +| `netgraph/core/flow_policy.hpp` | `FlowPolicy`, its configuration (`CapacityAware`, `Tunnels` among them) and result types (`SourceFlow`, `TunnelFlow` and `TunnelPlan` among them), `Termination` | | `netgraph/core/dag_cache.hpp` | `DagCache`, `DagCacheMiss` | | `netgraph/core/evaluators.hpp` | `capacity`, `batch_capacity`, `sensitivity` and their option and result types | Spelling differences: Python enum members and constants are upper case -(`EdgeTieBreak.DETERMINISTIC`, `MAX_FLOWS_PER_CALL`, `UNREACHABLE`), C++ enumerators are capitalised -(`EdgeTieBreak::Deterministic`) and C++ constants carry a `k` prefix (`kMaxFlowsPerCall`, -`kUnreachable`). Where Python returns `None` for an unreachable cost (`target_cost`, `route_cost`), +(`EdgeTieBreak.DETERMINISTIC`, `UNREACHABLE`), C++ enumerators are capitalised +(`EdgeTieBreak::Deterministic`) and C++ constants carry a `k` prefix (`kUnreachable`). Where Python returns `None` for an unreachable cost (`target_cost`, `route_cost`), C++ returns `kUnreachable`; an infinite request is an empty `std::optional` volume, and its `remaining` and `requested` are empty too. An optional field that Python reports as `None` -(`placement`, `selection`, `origin` and `weights` of a configuration, `offered`, `unadmitted`, -`total_cost`, `cost_distribution`, `FlowRecord.entry`, the optional outputs) is an empty -`std::optional` in C++, and a `None` program, support or black holes a null `std::shared_ptr` +(`placement`, `selection`, `origin` and `weights` of a configuration, `PathSelection.multipath`, +`offered`, `unadmitted`, `total_cost`, `cost_distribution`, `plan`, `FlowRecord.entry`, a down +tunnel's `destination`, `edges` and `route_cost`, the optional outputs) is an empty +`std::optional` in C++; a `design_demand` (of `evaluate`, `replace` and `QueryOptions`) is a +`std::optional>`, absent for `None` and an empty inner value for +`float('inf')`; and a `None` program, support or black holes a null `std::shared_ptr` (`edge_weights` is a shared array, `std::shared_ptr>`); the epoch's amounts are `Counter128` values. A Python `ValueError` is a `std::invalid_argument` in C++. `spf` takes a trailing C++-only `SpfQueue` argument that chooses the search's internal queue; the results never diff --git a/include/netgraph/core/detail/forwarding.hpp b/include/netgraph/core/detail/forwarding.hpp index 4c006f7..a15736c 100644 --- a/include/netgraph/core/detail/forwarding.hpp +++ b/include/netgraph/core/detail/forwarding.hpp @@ -59,8 +59,9 @@ struct ForwardingView { std::vector weights_ {}; std::vector dark_head_ {}; // Per program entry: Failed (excluded by the mask, or a head outside the replay roster), - // Blackholed (a tunnel whose path reaches a black hole) or Up; its route under the mask (the - // record's bundle; an empty DAG when it failed) and that route's cost. + // Blackholed (a tunnel whose path reaches a black hole), a down tunnel's setup status + // (NoBandwidth, CostCeiling) or Up; its route under the mask (the record's bundle; an empty DAG + // when it failed or is down) and that route's cost. std::vector status_ {}; std::vector> bundles_ {}; std::vector costs_ {}; @@ -86,7 +87,12 @@ struct ForwardingView { return borrowed ? std::span(data->head_weight) : std::span(weights_); } [[nodiscard]] bool dark_head(std::size_t h) const noexcept { return !dark_head_.empty() && dark_head_[h] != 0; } - [[nodiscard]] TunnelStatus status(std::size_t e) const noexcept { return borrowed ? TunnelStatus::Up : status_[e]; } + // Entry e's status: a borrowed view's are the program's own (Up, or a down tunnel's setup status). + [[nodiscard]] TunnelStatus status(std::size_t e) const noexcept { + if (!borrowed) return status_[e]; + const auto t = data->entries[e].tunnel; + return t < 0 ? TunnelStatus::Up : data->tunnels[static_cast(t)].status; + } [[nodiscard]] const std::shared_ptr& bundle(std::size_t e) const noexcept { return borrowed ? data->entries[e].bundle : bundles_[e]; } diff --git a/include/netgraph/core/detail/kernels.hpp b/include/netgraph/core/detail/kernels.hpp index 038c835..bf64e5e 100644 --- a/include/netgraph/core/detail/kernels.hpp +++ b/include/netgraph/core/detail/kernels.hpp @@ -37,15 +37,18 @@ namespace netgraph::core::detail { // Visit only the n positive shares (n = min(total, k)); later entries stay 0 in a zeroed output. // The callback form computes the split once and calls share(i, x) in index order for i in // [0, n). Stop if it returns false; return the accepted count: n, or that rejected index i. -// The span form writes out[0 .. n), where k = out.size(), and returns n. +// The span form writes out[0 .. n), where k = out.size(), and returns n. round_robin_share is the +// rule itself: the share of recipient i in [0, k) (T1's head designs and tunnel requests use it). +constexpr Amount round_robin_share(Amount total, Amount k, Amount i) noexcept { + return total / k + (i < total % k ? 1 : 0); +} + template inline std::size_t round_robin(Amount total, std::size_t k, Share&& share) { const auto kk = static_cast(k); - const Amount base = total / kk; - const auto extra = static_cast(total % kk); - const std::size_t n = base == 0 ? extra : k; + const std::size_t n = total / kk == 0 ? static_cast(total % kk) : k; for (std::size_t i = 0; i < n; ++i) { - if (!share(i, base + (i < extra ? 1 : 0))) return i; + if (!share(i, round_robin_share(total, kk, static_cast(i)))) return i; } return n; } diff --git a/include/netgraph/core/detail/ledger_access.hpp b/include/netgraph/core/detail/ledger_access.hpp index 39323af..51337f1 100644 --- a/include/netgraph/core/detail/ledger_access.hpp +++ b/include/netgraph/core/detail/ledger_access.hpp @@ -20,7 +20,7 @@ namespace netgraph::core::detail { // A record proposed by a policy for the commit: `id` nullopt is a new flow (its id is assigned // at the commit, in draft order); the commit sets the record's flow_id and owner. The record's -// `edges` and `drops` ascend by EdgeId; zero entries are dropped. +// `edges`, `drops` and `reserved_edges` ascend by EdgeId; zero entries are dropped. struct Draft { std::optional id {}; FlowRecord record {}; @@ -37,11 +37,12 @@ struct LedgerAccess { [[nodiscard]] static std::int64_t bind(FlowLedger& fg); // The owner's policy is destroyed without remove(): its records stay as orphans. static void release(FlowLedger& fg, std::int64_t owner) noexcept; - // remove(): the owner's records are deleted (allocations reverted), their ids retired. + // remove(): the owner's records are deleted (allocations and holds reverted), their ids retired. // Throws only before any change (a moved-from ledger, an unbound owner). static std::vector detach(FlowLedger& fg, std::int64_t owner); // One atomic exchange: `drafts` must carry every live record of the owner (by id) plus the - // new ones; the new aggregate must stay within [0, baseline] on every edge. Throws (and + // new ones; the new aggregates must stay within [0, baseline] on every edge (carried loads + // within the service baseline, holds within the reservation baseline). Throws (and // changes nothing) otherwise, an allocation failure included: every allocation happens // before a publication step that cannot throw. Returns the FlowIds of the new records in // draft order. The drafts' vectors are moved from. @@ -59,6 +60,14 @@ struct LedgerAccess { [[nodiscard]] static std::span baseline(const FlowLedger& fg); // The aggregate allocation (borrowed; valid until the next commit, detach or reset). [[nodiscard]] static std::span allocated(const FlowLedger& fg); + // The reservation baseline R0 and the aggregate holds S (borrowed, as above). S is empty until a + // commit with holds stages it as zeros (a commit that fails after that leaves it staged); empty + // and staged S read as all zero. + [[nodiscard]] static std::span reservation_baseline(const FlowLedger& fg); + [[nodiscard]] static std::span reserved(const FlowLedger& fg); + // S as stored, made E zeros first when nothing has been held (the tests' state checks write + // through it). + static std::vector& reserved_storage(FlowLedger& fg); // Diagnostics (the tests and the private bindings). [[nodiscard]] static std::int64_t next_flow_id(const FlowLedger& fg); [[nodiscard]] static std::vector bound_owners(const FlowLedger& fg); diff --git a/include/netgraph/core/detail/policy_engine.hpp b/include/netgraph/core/detail/policy_engine.hpp index 73c6b89..d187a0f 100644 --- a/include/netgraph/core/detail/policy_engine.hpp +++ b/include/netgraph/core/detail/policy_engine.hpp @@ -23,15 +23,13 @@ namespace netgraph::core::detail { struct DeletionCapture; -// A live flow of the policy between calls. Its amounts are its ledger record (delivered = the -// cumulative T of a Lossless flow; edges; Lossy offered and drops); the plan is frozen at the -// flow's creation (and replaced by an adopted reroute). The flows of CostOnly and Global are -// one per roster source and have no plan of their own (CostOnly's sources share the epoch's -// program); a Pinned policy's are one per program entry (`entry`), without a plan. +// A live flow of the policy between calls. Its amounts are its ledger record (delivered; edges; +// Lossy offered and drops; T1's holds). The flows of CostOnly and Global are one per roster +// source (CostOnly's sources share the epoch's program); a T1 or Pinned policy's are one per +// program entry (`entry`). struct LiveFlow { std::int64_t id {-1}; NodeId src {0}; - std::shared_ptr plan {}; std::shared_ptr bundle {}; Cost cost {kUnreachable}; std::int32_t entry {-1}; @@ -40,11 +38,12 @@ struct LiveFlow { // The state accumulated since construction or the last remove(), replace() or forward() (the // policy epoch): a value, so a full-offer call builds its own and publishes it whole. struct Epoch { - // The live flows: per roster index (CostOnly and Global: one per source; CapacityAware: its - // flows, in FlowId order), or per program entry (Pinned). + // The live flows: per roster index (CostOnly and Global: one per source), or per program entry + // (T1, Pinned). std::vector> cohorts {}; - // The installed program (null before the first preparation and for CapacityAware). + // The installed program (null before the first preparation) and, for T1, its setup summary. std::shared_ptr program {}; + std::optional plan {}; // CostOnly MaxFlow: the union of the roster's routes, the controller's support (ascending). std::vector support {}; // Unrestricted Global with the optimized origin: the cumulative marginal curve of the last solve @@ -73,12 +72,13 @@ struct PolicyEngine { std::vector destinations {}; std::vector dests_ok {}; // the allowed destinations (the records' destination set) std::vector roster {}; // fixed at construction, ascending - std::vector baseline {}; // CapacityAware with a Stretch ceiling only: the static shortest - // cost per roster source (empty otherwise) + Cost c0 {0}; // T1 with a Stretch ceiling: the smallest static shortest cost + // over the roster heads (the pool baseline) std::shared_ptr support {}; // CostOnly: the full static support // Global with a support: the trimmed support (ascending), shared with its programs' replay basis. std::shared_ptr> global_support {}; - // Unrestricted Global: the mask's excluded nodes and edges (ascending), its programs' replay basis. + // Unrestricted Global and T1: the mask's excluded nodes and edges (ascending), their programs' + // replay basis. std::vector excluded_nodes {}; std::vector excluded_edges {}; // Pinned: its program as this policy forwards it (the replay under the mask, the black holes), @@ -109,11 +109,11 @@ struct PolicyAccess { // The configuration checks of FlowPolicy, shared with the evaluators' argument checks, in // FlowPolicyConfig's order (the enumeration values, the model's row, the DagCache: `cache` says -// whether one is supplied, CapacityAware's parameters, edge_weights' length and entries against -// `num_edges`); returns its selection, origin and weights with an absent one resolved (nothing else -// is copied). Then, with the normalized endpoint counts, the pooled single-path rule -// (check_source_count: an absent selection is PathSelection(), multipath, so it reads the -// configuration resolved or not alike). +// whether one is supplied, T1's parameters, edge_weights' length and entries against `num_edges`); +// returns its selection, origin and weights with an absent one resolved (nothing else is copied). +// Then, with the normalized endpoint counts, the pooled single-path rule (check_source_count: an +// absent selection is PathSelection(), multipath absent, so it reads the configuration resolved or +// not alike), and with the roster size T1's tunnel limit (check_tunnel_limit). struct ResolvedAxes { std::optional selection; std::optional origin; @@ -121,6 +121,7 @@ struct ResolvedAxes { }; [[nodiscard]] ResolvedAxes resolve_config(const FlowPolicyConfig& cfg, bool cache, std::int32_t num_edges); void check_source_count(const FlowPolicyConfig& cfg, std::size_t num_sources, std::size_t num_destinations); +void check_tunnel_limit(const FlowPolicyConfig& cfg, std::size_t num_heads); // forward()'s first checks, before its offer is read (the binding runs them before converting // it): `Pinned forwards with replace`, then `forward requires an installed program`. void check_forward_operation(const PolicyEngine& pe); diff --git a/include/netgraph/core/detail/private_hooks.hpp b/include/netgraph/core/detail/private_hooks.hpp index 4b015fa..7786d32 100644 --- a/include/netgraph/core/detail/private_hooks.hpp +++ b/include/netgraph/core/detail/private_hooks.hpp @@ -1,10 +1,9 @@ /* The private hooks of the development build (internal). CMake option NETGRAPH_CORE_PRIVATE_HOOKS: ON for the editable development build and the test suites, OFF for an installed wheel. The hooks declared here are test controls and diagnostics the tests compare with their - independent model of the policy; none of them is public API: - a lowered creation cap and the transaction trace. - Without the option neither is built: the engine reads the constant kMaxFlowsPerCall, and every - trace write is a compile-time-dead branch (kTraced), so only empty trace values are built. */ + independent model of the policy; none of them is public API: the transaction trace. + Without the option it is not built: every trace write is a compile-time-dead branch (kTraced), + so only empty trace values are built. */ #pragma once #include "netgraph/core/detail/hooks_flag.hpp" @@ -18,8 +17,6 @@ inline constexpr bool kTraced = NETGRAPH_CORE_PRIVATE_HOOKS != 0; #if NETGRAPH_CORE_PRIVATE_HOOKS -#include -#include #include #include @@ -28,10 +25,6 @@ inline constexpr bool kTraced = NETGRAPH_CORE_PRIVATE_HOOKS != 0; namespace netgraph::core::detail { -// The call-wide creation cap every CapacityAware call reads (kMaxFlowsPerCall unless a test -// lowers it to reach the cap on small graphs). -std::atomic& max_flows_per_call() noexcept; - // FlowPolicy::place with the transaction's trace (a Trace: the call's intermediate values, // keyed as the tests' model of the policy keys them). `staged`, when given, runs // once the result and the trace are final and before anything is published (the commit, the @@ -40,12 +33,6 @@ std::atomic& max_flows_per_call() noexcept; PlacementResult place_traced(FlowPolicy& policy, std::optional volume, const OutputOptions& outputs, Trace& trace, const std::function* staged = nullptr); -// Any call of a policy with a `staged` callback (place_traced's, without the trace): it runs once -// the result is final and before anything is published (evaluate: before it returns). -enum class CallKind { Place, Evaluate, Replace, Forward }; -PlacementResult call_staged(FlowPolicy& policy, CallKind kind, std::optional offer, const Eligibility* black_holes, - const OutputOptions& outputs, const std::function* staged); - } // namespace netgraph::core::detail #endif diff --git a/include/netgraph/core/detail/program_data.hpp b/include/netgraph/core/detail/program_data.hpp index 75aeab1..d755454 100644 --- a/include/netgraph/core/detail/program_data.hpp +++ b/include/netgraph/core/detail/program_data.hpp @@ -19,6 +19,11 @@ namespace netgraph::core::detail { +// A tunnel's path in walk order (empty for a tunnel that is down). +[[nodiscard]] inline std::span path_of(const Tunnel& t) noexcept { + return t.edges.has_value() ? std::span(*t.edges) : std::span {}; +} + // One entry: a tunnel (tunnels()[tunnel]) or a split route (a root of contexts[context]). `slot` // is the head's position in the roster; `bundle` the entry's route as a DAG (a split route's // edges before weight pruning; null for a tunnel, whose path the record's bundle is made from when a @@ -61,8 +66,9 @@ struct ProgramData { std::span destinations {}; // ascending std::vector tunnels {}; std::optional>> source_weights {}; - // The injection: the roster (the heads with an entry, ascending), its captured weights (empty: - // equal sources), every entry in ascending index, per roster slot its entries (ascending index). + // The injection: the roster (the heads with an entry, ascending; T1: the policy's roster), its + // captured weights (empty: equal sources), every entry in ascending index, per roster slot its + // entries (ascending index). std::span roster {}; std::vector head_weight {}; std::vector entries {}; @@ -106,6 +112,14 @@ struct ProgramData { std::span excluded_edges = {}); // The block the lists view (the ownership tests). [[nodiscard]] std::span block() const noexcept { return store_; } + // Some entry has a path: an up tunnel or a split route (the condition of termination rule (3); + // a program of down tunnels only, or without entries, has none). + [[nodiscard]] bool has_path() const noexcept { + for (const auto& entry : entries) { + if (entry.tunnel < 0 || tunnels[static_cast(entry.tunnel)].edges.has_value()) return true; + } + return false; + } private: std::vector store_ {}; @@ -158,6 +172,26 @@ struct ControllerBasis { const Graph& g, std::span sources, std::span destinations, std::span roster, std::shared_ptr plan, std::vector entries); +// A T1 tunnel as setup leaves it: its roster slot and round, request, status and (up) its path in +// walk order with its cost. +struct SetupTunnel { + std::int32_t slot {0}; + std::int32_t round {0}; + Amount requested {0}; + TunnelStatus status {TunnelStatus::Up}; + std::vector edges {}; + Cost cost {0}; +}; + +// The program of T1: the policy's roster (every head, an entry or not), its tunnels in round +// order (`tunnels`: round-major, heads in roster order, so index = round * H + slot), weight 1 up +// and 0 down, reserved = requested up and 0 down; equal sources; the replay basis the topology +// under the policy's exclusions (ascending). +[[nodiscard]] std::shared_ptr tunnel_program( + const Graph& g, std::span sources, std::span destinations, + std::span roster, std::vector tunnels, std::span excluded_nodes, + std::span excluded_edges); + // The empty program of an empty roster (no entry). [[nodiscard]] std::shared_ptr empty_program(std::uint64_t graph_uid, std::span sources, @@ -165,13 +199,18 @@ struct ControllerBasis { bool captured); // The change flags of 10.4 between an old program (null: none) and a new one: routes (the ordered -// heads, the entries' kinds and routes, split tables, duplicates) and weights (the injection, every -// entry and split-table weight). Two programs without an entry are equal. +// heads, the entries' kinds and routes, split tables, duplicates), weights (the injection, every +// entry and split-table weight, an absent entry counting as weight 0) and reservations (every +// tunnel's requested and reserved amounts by index, an absent tunnel counting as (0, 0)). Two +// programs without an entry are equal. With `reservations` false (a call that books no holds) the +// reservation comparison is skipped and reported as no change. struct ProgramChange { bool routes {false}; bool weights {false}; + bool reservations {false}; }; -[[nodiscard]] ProgramChange compare_programs(const ForwardingProgram* before, const ForwardingProgram* after) noexcept; +[[nodiscard]] ProgramChange compare_programs(const ForwardingProgram* before, const ForwardingProgram* after, + bool reservations = true) noexcept; // Validation of from_routes' options before any route is read (steps 3 to 5 of the order: options // on a list of paths only, the placement, the weights' combination), shared with the binding, diff --git a/include/netgraph/core/detail/trace.hpp b/include/netgraph/core/detail/trace.hpp index a35ddad..f96ff66 100644 --- a/include/netgraph/core/detail/trace.hpp +++ b/include/netgraph/core/detail/trace.hpp @@ -1,8 +1,8 @@ /* The transaction trace of a placement call (internal diagnostics for the tests, which compare it key by key with the same trace of their independent model of the policy): a small - JSON-like value of the call's intermediate values, per source the offer, the rows of the - stages (creation, reoptimisation, filling, growth) and the local outcome, then the flows - created and the final working residual; for Global the solve's input, result and counters. + JSON-like value of the call's intermediate values: the roster, the routes prepared at the + epoch's first positive call, CostOnly's offers or bound, and for the controllers the + bisection probes, the solve's view and capacities, the flow core's values and the shares. Filled only in a build with the private hooks, when a call asks for it (detail::place_traced); other calls build only empty values. */ #pragma once diff --git a/include/netgraph/core/detail/traversal.hpp b/include/netgraph/core/detail/traversal.hpp index 902dba5..6cef241 100644 --- a/include/netgraph/core/detail/traversal.hpp +++ b/include/netgraph/core/detail/traversal.hpp @@ -105,15 +105,17 @@ struct Gate { Amount min_residual {1}; }; -// A policy's route: the edges in ascending EdgeId and the cost of its walks. +// A policy's route and the cost of its walks: its edges in ascending EdgeId (support_route), or +// a single path's in walk order (route_search). struct SearchRoute { std::vector edges {}; Cost cost {kUnreachable}; }; -// CapacityAware's search: forward from `src` toward the destination set (allowed -// ones; disjoint from src) over the candidates of `gate`, Collapse and the staged single path by -// `selection` with the priority values on `gate.residual`; nullopt when no destination is reached. +// T1's CSPF: forward from `src` toward the destination set (allowed ones; disjoint from src) over +// the candidates of `gate` (min_residual 0: no bandwidth filter), Collapse and the staged single +// path by `selection` (its multipath is not read) with the priority values on `gate.residual`; +// the path's edges in walk order, nullopt when no destination is reached. [[nodiscard]] std::optional route_search(const Graph& g, const Gate& gate, const PathSelection& selection, NodeId src, std::span dests); @@ -136,11 +138,11 @@ struct SearchRoute { // The static cost from each of `sources` to the nearest of `dests` (in range, ascending, no // duplicates, possibly empty; allowed ones) over the statically eligible edges, whatever their // capacity, kUnreachable where there is no walk, and everywhere when no destination is allowed -// (the CapacityAware and Global rosters and the Stretch baselines). +// (the T1 and Global rosters and T1's Stretch baseline). [[nodiscard]] std::vector static_costs(const Graph& g, const Eligibility* elig, std::span dests, std::span sources); -// The validation of a cost ceiling (KSP and CapacityAware): Absolute's cost >= 0, +// The validation of a cost ceiling (KSP and T1): Absolute's cost >= 0, // Stretch's factor finite and in [1, inf); std::invalid_argument naming max_path_cost. void check_ceiling(const std::optional& ceiling); diff --git a/include/netgraph/core/detail/tunnels.hpp b/include/netgraph/core/detail/tunnels.hpp new file mode 100644 index 0000000..e201576 --- /dev/null +++ b/include/netgraph/core/detail/tunnels.hpp @@ -0,0 +1,38 @@ +/* The tunnel models' computations (internal). T1 (tunnels_t1.cpp): every head sets up its own + tunnels by CSPF on the reservation view; its program is built by tunnel_program + (program_data.hpp) and forwarded by the forwarding engine like any other program. */ +#pragma once + +#include +#include +#include + +#include "netgraph/core/detail/program_data.hpp" +#include "netgraph/core/eligibility.hpp" +#include "netgraph/core/flow_policy.hpp" +#include "netgraph/core/graph.hpp" +#include "netgraph/core/options.hpp" +#include "netgraph/core/types.hpp" + +namespace netgraph::core::detail { + +// T1's setup (6.2 to 6.4) for the design volume D (< 2^62) over the roster's H heads (ascending) +// with N = ca.tunnels.count tunnels each: head i's share RR(D, H, i), its tunnel j's request +// RR(share, N, j); the attempts in round order (round j, heads ascending), every one even after +// failures, each on `U` (dense, E entries: the unreserved capacity with this policy's own holds +// released, each entry in [0, capacity]) minus the requests of the tunnels already up in this +// setup. An attempt keeps the allowed edges (`elig`) with U >= max(request, +// min_unreserved_bandwidth) (a threshold of 0 keeps every allowed edge), collapses parallel edges +// (selection.multi_edge = false) and takes the single path in the selection's order on static +// costs toward the allowed destinations `dests` (its priorities read U); then the ceiling: +// Absolute(c) inclusive, Stretch(f) as cost <= f * c0 exactly (`c0`: the pool baseline, read only +// for Stretch). Up: the request is subtracted from U on every edge of the path (U is consumed). +// The tunnels come in round order (index = position: round * H + slot). +[[nodiscard]] std::vector t1_setup(const Graph& g, const Eligibility* elig, std::span roster, + std::span dests, const PathSelection& selection, + const CapacityAware& ca, Cost c0, Amount D, std::vector U); + +// The heads' design shares RR(D, H, i) as (head, share) in roster order (TunnelPlan::head_design). +[[nodiscard]] std::vector> head_design(std::span roster, Amount D); + +} // namespace netgraph::core::detail diff --git a/include/netgraph/core/evaluators.hpp b/include/netgraph/core/evaluators.hpp index 3eaef58..fb9d6d9 100644 --- a/include/netgraph/core/evaluators.hpp +++ b/include/netgraph/core/evaluators.hpp @@ -1,7 +1,6 @@ -/* The evaluators: capacity (a FlowPolicy placement of +inf on - a fresh ledger; the exact maximum flow is capacity() with routing Global and the optimized - origin), batch_capacity (capacity per pair) and sensitivity (the loss of deleting each - candidate edge). */ +/* The evaluators: capacity (a FlowPolicy placement of +inf on a fresh ledger, T1's evaluate of + its design; the exact maximum flow is capacity() with routing Global and the optimized origin), + batch_capacity (capacity per pair) and sensitivity (the loss of deleting each candidate edge). */ #pragma once #include @@ -18,19 +17,21 @@ namespace netgraph::core { // The options of every evaluator: the configuration, the static Eligibility, the DagCache, the -// optional outputs of each result (sensitivity: of its baseline) and `offered`, the offer of a -// Pinned Lossy evaluation (absent: none; the inner nullopt is +inf, which its rule rejects). The -// Eligibility and the cache outlive the call. -// | model | Lossless | Lossy | -// | CostOnly EqualBalanced/Weighted | the uncapped bound (no offered) | the first-hop experiment (no offered) | -// | CostOnly MaxFlow, Global | the uncapped optimum (no offered) | rejected | -// | CapacityAware | the uncapped placement (no offered) | rejected | -// | Pinned | the fixed-program bound (no offered) | offered required and finite | +// optional outputs of each result (sensitivity: of its baseline), `design_demand` (T1's design, +// required and finite; every other model rejects one) and `offered`, the offer of a T1 or Pinned +// Lossy evaluation (both absent: none; an inner nullopt is +inf). The Eligibility and the cache +// outlive the call. +// | model | Lossless | Lossy | +// | CostOnly EqualBalanced/Weighted | the uncapped bound (no offered) | the first-hop experiment (no offered) | +// | CostOnly MaxFlow, Global | the uncapped optimum (no offered) | rejected | +// | T1 | the lossless bound of the tunnels set up for the design (no offered) | the design's tunnels forward offered (required and finite) | +// | Pinned | the fixed-program bound (no offered) | offered required and finite | struct QueryOptions { FlowPolicyConfig config; const Eligibility* elig {nullptr}; DagCache* cache {nullptr}; OutputOptions outputs {}; + std::optional> design_demand {}; std::optional> offered {}; }; @@ -51,10 +52,14 @@ struct SensitivityResult { // DagCacheMiss. // place(+inf) of a FlowPolicy with opts.config on a fresh ledger of g (its capacities); Pinned -// Lossy: place(offered). `offered` is checked after the policy's construction: an amount in [0, -// 2^62) or +inf; a Lossless model rejects it (` LOSSLESS capacity does not accept -// offered`), CostOnly Lossy too (`CostOnly LOSSY capacity uses first-hop injection`), and Pinned -// Lossy requires it finite (`Pinned LOSSY capacity requires finite offered`). +// Lossy: place(offered); T1: evaluate(+inf, design) Lossless, evaluate(offered, design) Lossy. +// The amounts are checked after the policy's construction, in this order: `offered` and +// `design_demand` each an amount in [0, 2^62) or +inf; a design only for T1 (` does not +// accept design_demand`), required (`T1 capacity requires design_demand`) and finite (`T1 +// requires a finite design demand`); then `offered`: a Lossless model rejects it (` +// LOSSLESS capacity does not accept offered`), CostOnly Lossy too (`CostOnly LOSSY capacity uses +// first-hop injection`), and T1 and Pinned Lossy require it finite (` LOSSY +// capacity requires finite offered`). [[nodiscard]] PlacementResult capacity(const Graph& g, std::span sources, std::span destinations, const QueryOptions& opts); @@ -63,7 +68,7 @@ struct SensitivityResult { // The Python binding checks the length of every supplied sequence. // Before starting workers, validate in order: workers >= 1; opts.elig's and the cache's graph; // a supplied building cache with workers > 1; Pinned (rejected: a program has fixed endpoints); -// the configuration; offered (the rule of capacity); and per_pair_elig's length. Then validate each pair completely in index +// the configuration; design_demand and offered (the rules of capacity); and per_pair_elig's length. Then validate each pair completely in index // order: endpoint sets, overlap, Eligibility's graph, the pooled single-path rule for its sources. // This reports the lowest failing pair index. // A supplied building cache requires workers == 1 because it allows one writer. Workers share @@ -86,7 +91,8 @@ struct SensitivityResult { // same config, offered and cache. Unrestricted optimized Global starts from the baseline solve's // final state and repairs it after deleting the edge, using one state copy per worker. The result // is the exact maximum flow at minimum cost. Global with a support solves every deletion afresh; -// Pinned replays the same program under each deletion (a fixed-route failure question). +// T1 sets up again for the same design under each deletion; Pinned replays the same program under +// each deletion (a fixed-route failure question). // CostOnly skips a deletion when no roster source's reachable part of the static shortest-path // support contains the edge: no route uses it, so loss is 0. All other deletions use a fresh // ledger. A failed deletion fails the call (no partial result), raising the exception of the diff --git a/include/netgraph/core/flow_ledger.hpp b/include/netgraph/core/flow_ledger.hpp index 5377736..cdd98dc 100644 --- a/include/netgraph/core/flow_ledger.hpp +++ b/include/netgraph/core/flow_ledger.hpp @@ -19,24 +19,29 @@ namespace detail { struct LedgerAccess; } // namespace detail -// A ledger tracks the flows placed on one graph. Its baseline is the available capacity in -// units before these flows; its residual is the capacity still unused. Policies alone place -// or remove flows through detail::LedgerAccess; there is no public placement, removal or -// reservation. allocated() is the exact sum of all records' edge amounts, and -// residual() = baseline - allocated(); both return int64[E] snapshots in EdgeId order. +// A ledger tracks the flows placed on one graph in two projections that are never added: the +// carried traffic (the service baseline B, the available capacity in units before these flows; +// allocated() L, the exact sum of all records' edge amounts; residual() = B - L) and the strict +// holds of T1 tunnels (the reservation baseline R0; reserved() S, the exact sum of all records' +// reserved_edges; unreserved() = R0 - S). Each projection keeps its own bound (0 <= L <= B, +// 0 <= S <= R0 per edge); max(L, S) is no occupancy, and traffic may use bandwidth that is held. +// Policies alone place, hold or remove through detail::LedgerAccess; there is no public +// placement, removal or reservation. All four return int64[E] snapshots in EdgeId order. // // Lifetime: the graph outlives the ledger (shared pointer), the ledger outlives its policies. // A ledger with bound policies cannot be copied, moved or reset. A copy of an unbound ledger -// is a new ledger (new uid) holding the same records and ids under the new uid; a moved-from -// ledger is empty and unusable (every call throws std::logic_error). A policy destroyed -// without remove() leaves its records and allocations as orphans (readable, never changed -// again) until reset(). +// is a new ledger (new uid) holding the same baselines, records, ids and holds under the new uid; +// a moved-from ledger is empty and unusable (every call throws std::logic_error). A policy +// destroyed without remove() leaves its records, allocations and holds as orphans (readable, +// never changed again) until reset(). class FlowLedger { public: - // `residual`: the baseline in units, one entry per edge in [0, capacity_units[e]] - // (std::invalid_argument otherwise); absent: the capacities. + // `residual` and `unreserved`: the service and reservation baselines in units, each one entry + // per edge in [0, capacity_units[e]] (std::invalid_argument naming the array, residual checked + // first); absent: the capacities. explicit FlowLedger(std::shared_ptr graph); FlowLedger(std::shared_ptr graph, std::span residual); + FlowLedger(std::shared_ptr graph, std::span residual, std::span unreserved); FlowLedger(const FlowLedger& other); FlowLedger(FlowLedger&& other); FlowLedger& operator=(const FlowLedger&) = delete; @@ -49,6 +54,8 @@ class FlowLedger { [[nodiscard]] std::span capacity_units() const; [[nodiscard]] std::vector residual() const; [[nodiscard]] std::vector allocated() const; + [[nodiscard]] std::vector reserved() const; + [[nodiscard]] std::vector unreserved() const; // Live records (bound and orphaned) as snapshots in FlowId order. [[nodiscard]] std::vector records() const; // One record; a FlowId of another ledger, a retired id or an unknown id throws @@ -59,21 +66,32 @@ class FlowLedger { // reachable set, in ascending EdgeId; empty if no such edge remains. This is not a minimum-cut // certificate: it does not follow reverse arcs that could cancel existing flow. [[nodiscard]] std::vector bottleneck(std::span sources, const Eligibility* elig = nullptr) const; - // A new baseline (the capacities when absent); orphaned records and their allocations are - // cleared and their ids retired. Rejected (std::invalid_argument) while a policy is bound. + // New baselines (the capacities when absent); orphaned records with their allocations and holds + // are cleared and their ids retired. Rejected (std::invalid_argument) while a policy is bound. void reset(); void reset(std::span residual); + void reset(std::span residual, std::span unreserved); private: friend struct detail::LedgerAccess; void check_usable() const; - std::vector checked_baseline(std::span residual) const; + std::vector checked_baseline(std::span amounts, const char* label) const; + void check_resettable() const; + void install(std::vector baseline, std::vector reservation); + // The reservation projection costs nothing until something holds: an empty reserved_ is all + // zero, an empty reservation_baseline_ is the static capacity. + [[nodiscard]] Amount reservation_at(std::size_t e) const noexcept { + return reservation_baseline_.empty() ? graph_->capacity_units()[e] : reservation_baseline_[e]; + } + [[nodiscard]] Amount reserved_at(std::size_t e) const noexcept { return reserved_.empty() ? 0 : reserved_[e]; } std::shared_ptr graph_ {}; std::uint64_t uid_ {0}; bool usable_ {true}; std::vector baseline_ {}; std::vector allocated_ {}; + std::vector reservation_baseline_ {}; + std::vector reserved_ {}; std::map records_ {}; std::map> owner_ids_ {}; // owner -> live ids, ascending std::int64_t next_id_ {0}; diff --git a/include/netgraph/core/flow_policy.hpp b/include/netgraph/core/flow_policy.hpp index 2179d5f..438bd2f 100644 --- a/include/netgraph/core/flow_policy.hpp +++ b/include/netgraph/core/flow_policy.hpp @@ -26,32 +26,35 @@ struct PolicyAccess; class FrozenTally; } // namespace detail -// CapacityAware creations per call (stage 1 and accepted growth, across sources): reaching it -// stops creation, and a source whose offer is not met then ends with LimitFlows. An engine -// constant. -inline constexpr std::int64_t kMaxFlowsPerCall = 10000; - -// The diminishing-returns guard of CapacityAware growth: stop when at least `window` growth -// steps were accepted in the call and the last `window` gains sum below `fraction` times the -// source's offer (finite offers only). window >= 1, fraction in (0, 1). -struct DiminishingReturns { - std::int32_t window {1}; - double fraction {0.5}; +// The tunnel count of the tunnel models, per head: `count` in [1, 10000] (checked where a policy +// or an evaluator uses it); `up_to` (T2 only; T1 rejects it): the smallest sufficient count up to +// `count`. +struct Tunnels { + std::int64_t count {1}; + bool up_to {false}; + friend bool operator==(const Tunnels&, const Tunnels&) = default; }; // Each routing mode has only the fields it uses. // CostOnly: hop-by-hop routing on each roster source's static shortest routes (all shortest // paths, with no directed cycles, edges of capacity 0 included, or the canonical single -// path), prepared once per epoch and never refreshed, grown or reoptimised. The sources of -// the demand are pooled: a router shared by several sources adds their traffic and splits it -// once. EqualBalanced and Weighted forward the equal origin; MaxFlow is a controller +// path), prepared once per epoch and fixed for it. The sources of the demand are pooled: a +// router shared by several sources adds their traffic and splits it once. EqualBalanced and Weighted forward the equal origin; MaxFlow is a controller // restricted to the union of those routes. Its program: one split route per roster source, // pooled into one split context (EqualBalanced, Weighted), or the controller's paths (MaxFlow). -// CapacityAware: flow_count flows per source found by shortest-path searches that require -// enough unused capacity on each edge. Grow up to max_flow_count (absent: no ceiling), subject -// to min_flow_bandwidth (units) and max_path_cost. Rerouting is optional; `diminishing` -// stops growth when recent gains are too small (absent: off). Its sources are not pooled. It -// has no program (until its tunnel form exists). +// CapacityAware (T1): every roster head sets up its own tunnels.count strict tunnels by CSPF, no +// controller. A design volume D is split RR(D, H, h) over the heads and each head's share +// RR(d, N, j) over its tunnels; in round order (round j, heads ascending: index j * H + i) each +// tunnel keeps the allowed links whose unreserved capacity U (the ledger's, this policy's own +// holds released, minus this setup's earlier up tunnels) is at least max(request, +// min_unreserved_bandwidth) (a request of 0 with a minimum of 0 has no filter), collapses +// parallel links (multi_edge = false), and takes the single path in the selection's order on +// static costs (priorities read U: Residual U, Headroom U / C, Capacity C); it is Up, holding its +// request on every link, unless no path passes the filter (NoBandwidth) or the cheapest exceeds +// max_path_cost (CostCeiling): Absolute inclusive, Stretch(f) times c0, the smallest static +// shortest cost over the roster heads under the mask, zero-capacity links included. Forwarding +// is the program's: round robin over the heads, then over a head's up tunnels; a head without +// one loses its share. Its program: those tunnels, weight 1 up and 0 down. // Global: the ideal controller, a minimum-cost maximum flow over the whole eligible graph, or // exactly over `support` (a DAG of the policy's graph, trimmed to the walks from the sources to // the allowed destinations under the Eligibility), of what the policy already delivers plus this @@ -65,12 +68,9 @@ struct DiminishingReturns { // forwarded unchanged and traffic reaching one is dropped there). One record per program entry. struct CostOnly {}; struct CapacityAware { - std::int32_t flow_count {1}; - std::optional max_flow_count {}; + Tunnels tunnels {}; std::optional max_path_cost {}; - Amount min_flow_bandwidth {0}; - bool reoptimize {false}; - std::optional diminishing {}; + Amount min_unreserved_bandwidth {0}; }; struct Global { std::shared_ptr support {}; @@ -83,27 +83,29 @@ using Routing = std::variant; // One demand's settings. A field that does not apply to the routing mode stays absent; a policy // or an evaluator checks the combination when it uses the configuration (the fields remain -// assignable), in this order: the enumeration values, then the model's row of the matrix below, -// its columns left to right (placement, origin, admission, selection, weights with edge_weights), -// then the DagCache, then CapacityAware's own parameters, then edge_weights' length and entries, -// then the pooled single-path rule. +// assignable), in this order: the enumeration values, then the model's row of the matrix below +// (T1: an "up to" count first, it is not T1's row), its columns left to right (placement, origin, +// admission, selection, weights with edge_weights), then the DagCache, then T1's own parameters +// (the tunnel count, max_path_cost, min_unreserved_bandwidth), then edge_weights' length and +// entries, then the roster and count rules (the pooled single-path rule, T1's tunnel limit). // -// | routing | placement | origin (default / allowed) | admission | selection | weights | -// | CostOnly | EqualBalanced | Equal / Equal | Lossless, Lossy | all four fields | none | -// | CostOnly | Weighted | Equal / Equal | Lossless, Lossy | all four fields | Capacity (default), Explicit, ResidualSnapshot | -// | CostOnly | MaxFlow | Optimized / both | Lossless | all four fields | none | -// | Global | none | Optimized / both | Lossless | none | none | -// | CapacityAware | required (all three) | Equal / Equal | Lossless | all four fields | none | -// | Pinned | none | none (the program has it) | Lossless, Lossy | none | none | +// | routing | placement | origin (default / allowed) | admission | selection | weights | +// | CostOnly | EqualBalanced | Equal / Equal | Lossless, Lossy | all four fields | none | +// | CostOnly | Weighted | Equal / Equal | Lossless, Lossy | all four fields | Capacity (default), Explicit, ResidualSnapshot | +// | CostOnly | MaxFlow | Optimized / both | Lossless | all four fields | none | +// | Global | none | Optimized / both | Lossless | none | none | +// | T1: CapacityAware | none | Equal / Equal | Lossless, Lossy | tie_break, priority, multi_edge | none | +// | Pinned | none | none (the program has it) | Lossless, Lossy | none | none | // // An absent origin resolves to the default and an absent selection to PathSelection() in the // policy's snapshot (config()); an absent weights of CostOnly Weighted resolves to Capacity. Only // CostOnly reads a DagCache; another model rejects one. edge_weights (one integer per edge in // [0, 2^62), shared by every configuration copied from this one) is given exactly when weights is -// Explicit. CapacityAware's Weighted flows take their weights from selection.priority (Capacity -// or Residual; Headroom is rejected). Pooled single-path rule: CostOnly with more than one input -// source (normalized, before any Eligibility) rejects multipath = false together with -// PreferHigherPriority, whose bottleneck choice would differ per source at a shared router. +// Explicit. T1 rejects multipath = true (a tunnel is one path; absent and false are accepted). +// Pooled single-path rule: CostOnly with more than one input source (normalized, before any +// Eligibility) rejects multipath = false together with PreferHigherPriority, whose bottleneck +// choice would differ per source at a shared router. T1's tunnel limit: roster heads times the +// tunnel count at most 2^30 - 1. struct FlowPolicyConfig { Routing routing {CostOnly {}}; std::optional placement {}; @@ -116,29 +118,28 @@ struct FlowPolicyConfig { // Optional outputs of a placement (absent unless requested): edge_flows (this policy's own // allocation per edge after the call), residual and bottleneck (the ledger's after the call), -// and min_cut (Global with the optimized origin; see PlacementResult::min_cut). +// min_cut (Global with the optimized origin; see PlacementResult::min_cut) and +// reservation_edge_flows (this policy's strict holds per edge after the call, zeros for a model +// without holds). struct OutputOptions { bool edge_flows {false}; bool residual {false}; bool bottleneck {false}; bool min_cut {false}; + bool reservation_edge_flows {false}; }; // The call's outcome, the first that applies: Complete for a zero request; NoRoute for a // positive request with an empty roster (no eligible source statically reaches an allowed -// destination); NoActiveWeight when routes exist but no roster source has both a positive -// injection weight and an entry of positive weight with a usable route (Weighted over edges of -// capacity 0 only, all entry weights 0, every remaining captured weight 0); a Lossy finite -// request: Complete (delivery and losses account for the whole offer, which does not mean nothing -// was lost); otherwise Complete when the whole request was delivered, else Exhausted (an infinite -// request is Exhausted). A controller whose maximum is 0 over existing routes is Exhausted, not -// NoRoute. -// CapacityAware alone reduces per-source outcomes instead: a source is served when its offer is -// 0 or delivered; an unserved source's outcome is LimitFlows (creation or growth hit -// kMaxFlowsPerCall, or growth hit max_flow_count > flow_count), else LimitDiminishing (the -// diminishing guard), else NoRoute (no flows), else Exhausted; the call takes the highest -// unserved outcome in that order, Complete when every source is served. -enum class Termination { Complete, LimitFlows, LimitDiminishing, NoRoute, Exhausted, NoActiveWeight }; +// destination); NoActiveWeight when the program has an entry with a path (an up tunnel, a +// controller path or a split route) but no roster source has both a positive injection weight and +// an entry of positive weight with a usable route (Weighted over edges of capacity 0 only, all +// entry weights 0, every remaining captured weight 0, every up tunnel failed); a program whose +// tunnels are all down is not this case. Then a Lossy finite request: Complete (delivery and +// losses account for the whole offer, which does not mean nothing was lost); otherwise Complete +// when the whole request was delivered, else Exhausted (an infinite request is Exhausted). A +// controller whose maximum is 0 over existing routes is Exhausted, not NoRoute. +enum class Termination { Complete, NoRoute, Exhausted, NoActiveWeight }; // One normalized input source's forwarding in the epoch (zero rows included: a masked or // unreachable source): offered (Lossy only: its injections), admitted (Lossless: what it @@ -168,6 +169,18 @@ struct TunnelFlow { friend bool operator==(const TunnelFlow&, const TunnelFlow&) = default; }; +// The tunnel models' setup summary (PlacementResult::plan): count (the tunnels per head), +// design_demand (nullopt: unlimited), head_design ((head, RR(D, H, i)) for every roster head in +// ascending NodeId; empty for an unlimited design) and reserved_total (T1's strict holds, counted +// once per up tunnel: the sum of their requests). +struct TunnelPlan { + std::int64_t count {0}; + std::optional design_demand {}; + std::vector> head_design {}; + Amount reserved_total {0}; + friend bool operator==(const TunnelPlan&, const TunnelPlan&) = default; +}; + // The result of one call: this call's values, then the demand's state after it (totals of the // epoch), then the optional outputs. // This call: placed (units delivered by the call; replace, forward and evaluate: the full new @@ -176,15 +189,14 @@ struct TunnelFlow { // per edge, ascending EdgeId), call_source_loss, termination and the change flags, which compare // the program before and after the call ("no program" is the empty program; two programs without // an entry are equal): routes_changed the ordered heads, paths, split tables and duplicates; -// weights_changed the injection (the source weights) and every entry and split-table weight. An -// offer-only change to a program that is not recomputed (forward, Pinned, CostOnly increments) -// sets neither; a controller's re-solve that changes a path's amount is a weight change; an -// identical replace sets neither. CapacityAware (no program): routes_changed means a group of -// flows was created, a retained flow was rerouted or growth added a flow; weights_changed that a -// rerouted Weighted flow captured its weights again. A candidate equal to the current route is -// not a change. +// weights_changed the injection (the source weights) and every entry and split-table weight (an +// absent entry weighs 0); reservations_changed every tunnel's requested and reserved amounts by +// index (an absent tunnel holds (0, 0); only T1 sets it). An offer-only change to a program that +// is not recomputed (forward, Pinned, CostOnly increments) sets none of them; a controller's +// re-solve that changes a path's amount is a weight change; an identical replace sets none. // State: program (the installed program after the call; evaluate: the computed one; null before -// the epoch's first preparation and for CapacityAware), requested (the sum of the requests; +// the epoch's first preparation), plan (T1: the setup of that program; nullopt for every other +// model, Pinned over a T1 program too), requested (the sum of the requests; // nullopt after +inf), offered (Lossy only: the traffic actually sent; the first-hop injection of a // Lossy +inf), admitted (Lossless: the total carried; Lossy: offered), delivered, unadmitted // (Lossless: requested - delivered, nullopt after +inf; Lossy: 0), source_loss and drops (per @@ -193,7 +205,8 @@ struct TunnelFlow { // empty roster, where the whole offer is source loss of the demand and every row is zero. // by_tunnel has one row per program tunnel in ascending index (empty without tunnels); it is an // alternative view of the same traffic, never added to by_source. total_cost (controllers: Global -// and CostOnly MaxFlow) is the exact sum of cost * flow over the policy's allocation (below 2^124). +// and CostOnly MaxFlow) is the exact sum of cost * flow over the policy's allocation (below 2^124; +// nullopt for the tunnel models and Pinned). // cost_distribution: unrestricted Global with the optimized origin only, the cumulative marginal // cost curve: (cost, units) pairs in ascending cost, where delivering `units` more units raised the // minimum total cost of the flow by `cost` per unit (more delivery can reroute flow already placed, @@ -209,7 +222,9 @@ struct PlacementResult { Termination termination {Termination::Complete}; bool routes_changed {false}; bool weights_changed {false}; + bool reservations_changed {false}; std::shared_ptr program {}; + std::optional plan {}; std::optional requested {}; std::optional offered {}; Counter128 admitted {}; @@ -224,6 +239,7 @@ struct PlacementResult { std::optional> edge_flows {}; std::optional> residual {}; std::optional> bottleneck {}; + std::optional> reservation_edge_flows {}; // Requested by OutputOptions::min_cut; unrestricted Global with the optimized origin only, when // the solve reached the maximum flow: the edges leaving the set of nodes the roster sources reach // through residual arcs (free capacity plus this policy's own load, reverse arcs that cancel flow @@ -247,29 +263,33 @@ struct PlacementResult { // the largest total whose round-robin supplies are all carried. Pinned forwards its program the // same way (Lossless: the largest total in [admitted, admitted + volume]; Lossy: the round-robin // or captured-weight increments of the injection, each head splitting its increment afresh). -// CapacityAware runs per source (stages of creation, reoptimisation, amounts and growth). -// evaluate(offer) is a full, independent computation and forwarding of the offer from the -// policy's own released view (the residual plus its own carried load): it publishes nothing, -// creates no record and leaves the epoch as it was. replace(offer) is the same, published -// atomically: the old records are retired, new ones created, and a new epoch starts at this offer -// (delivery may go down). forward(offer, black_holes) forwards a full new offer over the installed -// program with no route computation (Lossless: the fixed program's lossless bound; Lossy: the -// offer's injections) on the released view, starts a new epoch like replace, and keeps the -// program; with black_holes, the nodes and edges it excludes are black holes for that call. A -// Lossy replace, forward or evaluate needs a finite offer; a Lossy +inf is CostOnly place's -// first-hop experiment only. remove() releases every policy flow, retires their ids, clears the -// program and starts a new epoch: the period since construction, the last remove(), replace() or -// forward() over which requests and flows accumulate. Destroying a policy without remove() leaves -// its records in the ledger as orphans. +// T1 has no place (rejected, also for 0). +// evaluate(offer, design_demand) is a full, independent computation and forwarding of the offer +// from the policy's own released view (the residual plus its own carried load; T1 sets up on the +// unreserved capacity with its own holds released): it publishes nothing, creates no record and +// leaves the epoch as it was. replace(offer, design_demand) is the same, published atomically: the +// old records and holds are retired, new ones created, and a new epoch starts at this offer +// (delivery may go down). design_demand (T1 only; every other model rejects it): absent means D = +// offer, an inner nullopt +inf; T1 needs a finite D. forward(offer, black_holes) forwards a full +// new offer over the installed program with no route computation and no setup (Lossless: the +// fixed program's lossless bound; Lossy: the offer's injections) on the released view, starts a +// new epoch like replace, and keeps the program and T1's holds; with black_holes, the nodes and +// edges it excludes are black holes for that call. A Lossy replace, forward or evaluate needs a +// finite offer; a Lossy +inf is CostOnly place's first-hop experiment only. remove() releases +// every policy flow and hold, retires their ids, clears the program and starts a new epoch: the +// period since construction, the last remove(), replace() or forward() over which requests and +// flows accumulate. Destroying a policy without remove() leaves its records and holds in the +// ledger as orphans. // // Validation (std::invalid_argument, before anything binds), in this order: the endpoint sets // (non-empty, ids in range, disjoint), the ownership of the Eligibility, the program, the support, // the DagCache and the black holes by the ledger's graph, the configuration (FlowPolicyConfig's -// order), then the roster and count rules (the pooled single-path rule; a Pinned program's -// endpoints equal to the policy's). A call validates the operation for the model, an installed -// program (forward), the request ([0, 2^62) units or +inf), a Lossy full offer's finiteness, a -// finite place after +inf in the epoch (rejected, also 0) and the black holes' graph (forward) -// before any change. A solve of the flow core (Global, CostOnly MaxFlow, a MaxFlow flow) whose +// order), then the roster and count rules (the pooled single-path rule; T1's tunnel limit; a +// Pinned program's endpoints equal to the policy's). A call validates the operation for the model +// (T1's place), an installed program (forward), the request ([0, 2^62) units or +inf), a Lossy +// full offer's finiteness, the design demand (the model accepts one, [0, 2^62) or +inf, T1 +// finite), a finite place after +inf in the epoch (rejected, also 0) and the black holes' graph +// (forward) before any change. A solve of the flow core (Global, CostOnly MaxFlow, a MaxFlow flow) whose // network exceeds the core's int32 numbering throws std::invalid_argument, and the call changes // nothing: more than INT32_MAX - 2 nodes, or more than 2^30 - 1 edges, sources and destinations // together. A Lossy forwarding whose losses wait on each other in a cycle that alternates between @@ -279,8 +299,8 @@ struct PlacementResult { // Lifetime: the ledger, the Eligibility and the DagCache outlive the policy (the policy holds // pointers to them); a Pinned policy shares its program and black holes. The roster (the eligible // sources that statically reach an allowed destination, over allowed edges whatever their -// capacity; Pinned: the program's roster heads that reach an allowed destination over its basis -// under the Eligibility) is fixed at construction. +// capacity, T1's heads; Pinned: the program's roster heads that reach an allowed destination over +// its basis under the Eligibility) is fixed at construction. class FlowPolicy { public: FlowPolicy(FlowLedger& ledger, std::span sources, std::span destinations, @@ -291,10 +311,15 @@ class FlowPolicy { FlowPolicy& operator=(FlowPolicy&&) = delete; ~FlowPolicy(); - // volume and offer: units, nullopt is +inf. + // volume, offer and an inner design_demand: units, nullopt is +inf; an absent design_demand is + // the offer. PlacementResult place(std::optional volume, const OutputOptions& outputs = {}); - [[nodiscard]] PlacementResult evaluate(std::optional offer, const OutputOptions& outputs = {}) const; - PlacementResult replace(std::optional offer, const OutputOptions& outputs = {}); + [[nodiscard]] PlacementResult evaluate(std::optional offer, + const std::optional>& design_demand = std::nullopt, + const OutputOptions& outputs = {}) const; + PlacementResult replace(std::optional offer, + const std::optional>& design_demand = std::nullopt, + const OutputOptions& outputs = {}); // black_holes: an Eligibility of the policy's graph, or null for none (Pinned: rejected, its // black holes are part of its configuration). PlacementResult forward(std::optional offer, const Eligibility* black_holes = nullptr, @@ -307,8 +332,7 @@ class FlowPolicy { // One of this policy's live records; a FlowId of another ledger or policy, a retired or an // unknown id throws std::invalid_argument. [[nodiscard]] FlowRecord record(const FlowId& flow_id) const; - // The installed program: null before the epoch's first preparation, after remove() and for - // CapacityAware. + // The installed program: null before the epoch's first preparation and after remove(). [[nodiscard]] std::shared_ptr program() const noexcept; // The configuration as validated at construction: a copy whose absent origin, selection and // weights are resolved to the model's defaults (FlowPolicyConfig). diff --git a/include/netgraph/core/flow_record.hpp b/include/netgraph/core/flow_record.hpp index 16b8da0..256833c 100644 --- a/include/netgraph/core/flow_record.hpp +++ b/include/netgraph/core/flow_record.hpp @@ -39,11 +39,11 @@ struct Counter128 { // A snapshot of one ledger flow, returned by records() or record(id). `bundle` is its route // structure; `route_cost` is the minimum walk cost from its sources to its destinations over // that bundle, or kUnreachable if none exists. `entry` is the program entry the record carries -// (a Pinned policy: one record per entry, the entry identifier of its program); absent for the -// records kept per roster source (CostOnly, Global) or per flow (CapacityAware). Lossy records -// alone have `offered`: the cumulative amount submitted to this flow before any drops. `edges` -// and `drops` contain positive values in ascending EdgeId; per-call and cumulative drop totals are -// derived. +// (T1 and Pinned: one record per entry, the entry identifier of its program); absent for the +// records kept per roster source (CostOnly, Global). Lossy records alone have `offered`: the +// cumulative amount submitted to this flow before any drops. `edges` (carried load), `drops` and +// `reserved_edges` (the strict holds of an up T1 tunnel: its request on every link of its path) +// contain positive values in ascending EdgeId; per-call and cumulative drop totals are derived. struct FlowRecord { FlowId flow_id {}; std::int64_t owner {0}; @@ -57,6 +57,7 @@ struct FlowRecord { Amount delivered {0}; std::vector> edges {}; std::vector> drops {}; + std::vector> reserved_edges {}; }; } // namespace netgraph::core diff --git a/include/netgraph/core/options.hpp b/include/netgraph/core/options.hpp index 6e51fc1..12172cf 100644 --- a/include/netgraph/core/options.hpp +++ b/include/netgraph/core/options.hpp @@ -3,6 +3,7 @@ component. */ #pragma once +#include #include #include "netgraph/core/types.hpp" @@ -35,27 +36,30 @@ using CostCeiling = std::variant; // first (multi_edge = false), then choose the walk among the remaining members. enum class EdgeTieBreak { Deterministic, PreferHigherPriority }; -// Per-edge priority for PreferHigherPriority (single-path and parallel-edge choices), and for -// CapacityAware's Weighted membership and weights: +// Per-edge priority for PreferHigherPriority (single-path and parallel-edge choices): // Residual is unused capacity in units on the search's view; Capacity is static capacity in -// units; Headroom is the exact ratio residual / capacity, 0 on an edge of capacity 0 (rejected -// with CapacityAware's Weighted). Without a supplied residual, a search reads the static capacity as the unused -// capacity: Residual and Capacity read the capacity, Headroom 1 (0 on an edge of capacity 0). +// units; Headroom is the exact ratio residual / capacity, 0 on an edge of capacity 0. Without a +// supplied residual, a search reads the static capacity as the unused capacity: Residual and +// Capacity read the capacity, Headroom 1 (0 on an edge of capacity 0). T1's CSPF reads the +// unreserved view U: Residual U, Headroom U / C, Capacity C. enum class EdgePriority { Residual, Capacity, Headroom }; -// `multipath` keeps all equal-cost walks as a shortest-path DAG; false selects the canonical -// single path. `multi_edge` keeps all eligible parallel edges between each (u, v) pair; false -// keeps one by (minimum cost, higher priority under PreferHigherPriority, lowest EdgeId). -// Every field has a default: Deterministic, Capacity, and both flags true. Invalid enum values -// throw std::invalid_argument naming the field. Fields remain assignable, so every entry point -// that uses a selection validates it again. +// `multipath`: absent (the default) is the model's natural shape, all equal-cost walks as a +// shortest-path DAG for the searches and CostOnly, one path for a tunnel model; true is the DAG, +// false the canonical single path (a tunnel model rejects true). `multi_edge` keeps all eligible +// parallel edges between each (u, v) pair; false keeps one by (minimum cost, higher priority under +// PreferHigherPriority, lowest EdgeId). Every field has a default: Deterministic, Capacity, +// multipath absent, multi_edge true. Invalid enum values throw std::invalid_argument naming the +// field. Fields remain assignable, so every entry point that uses a selection validates it again. struct PathSelection { PathSelection(EdgeTieBreak tie_break_ = EdgeTieBreak::Deterministic, EdgePriority priority_ = EdgePriority::Capacity, - bool multipath_ = true, bool multi_edge_ = true); + std::optional multipath_ = std::nullopt, bool multi_edge_ = true); EdgeTieBreak tie_break; EdgePriority priority; - bool multipath; + std::optional multipath; bool multi_edge; + // multipath = false: the canonical single path (absent and true are the DAG for a search). + [[nodiscard]] bool single_path() const noexcept { return multipath == false; } friend bool operator==(const PathSelection&, const PathSelection&) = default; }; diff --git a/include/netgraph/core/program.hpp b/include/netgraph/core/program.hpp index de8590a..e3e8d0c 100644 --- a/include/netgraph/core/program.hpp +++ b/include/netgraph/core/program.hpp @@ -23,26 +23,34 @@ struct ProgramAccess; struct ProgramBlock; } // namespace detail -// A tunnel's state in one forwarding (a by_tunnel row): Up; Failed (the path touches a node or an -// edge the forwarding policy's Eligibility excludes: the tunnel gets nothing and its head splits -// over its other entries); Blackholed (up, but its path reaches a black hole of stale forwarding: -// its traffic is dropped on the first link that is one or enters one). A program's own tunnels are -// all up. -enum class TunnelStatus { Up, Failed, Blackholed }; +// A tunnel's state: Up; NoBandwidth and CostCeiling (T1 setup found no path passing the bandwidth +// filter, or the cheapest one exceeds the cost ceiling: the tunnel is down, has no path and weight +// 0, and stays down in every forwarding of its program); and, in one forwarding only (a by_tunnel +// row), Failed (the path touches a node or an edge the forwarding policy's Eligibility excludes: +// the tunnel gets nothing and its head splits over its other entries) and Blackholed (up, but its +// path reaches a black hole of stale forwarding: its traffic is dropped on the first link that is +// one or enters one). +enum class TunnelStatus { Up, NoBandwidth, CostCeiling, Failed, Blackholed }; -// One tunnel (a path entry) of a program. index: the entry identifier (Global and CostOnly -// MaxFlow: the path's position in the decomposition order; supplied routes: the route's position -// in the list), never a position in tunnels(); local_index: its position among its head's entries -// of both kinds in ascending index; destination: where its path ends; edges in path order; -// route_cost: the sum of their costs; weight: its integer share among the head's entries (a -// controller path: its solved amount). +// One tunnel (a path entry) of a program. index: the entry identifier (T1: j * H + i for round j +// and roster position i; Global and CostOnly MaxFlow: the path's position in the decomposition +// order; supplied routes: the route's position in the list), never a position in tunnels(); +// local_index: its position among its head's entries of both kinds in ascending index; +// destination: where its path ends; edges in path order; route_cost: the sum of their costs (all +// three absent for a tunnel that is down); status: Up, NoBandwidth or CostCeiling; requested and +// reserved: T1's strict bandwidth (its request, and the request held on every link of its path +// when it is up, else 0; 0 for the other models); weight: its integer share among the head's +// entries (T1: 1 up, 0 down; a controller path: its solved amount). struct Tunnel { std::int32_t index {0}; NodeId head {0}; std::int32_t local_index {0}; - NodeId destination {0}; - std::vector edges {}; - Cost route_cost {0}; + std::optional destination {}; + std::optional> edges {}; + std::optional route_cost {}; + TunnelStatus status {TunnelStatus::Up}; + Amount requested {0}; + Amount reserved {0}; Amount weight {0}; friend bool operator==(const Tunnel&, const Tunnel&) = default; }; @@ -70,7 +78,8 @@ struct RouteOptions { // An immutable value: one demand's sources and destinations (normalized sets), its entries and // its injection rule. Entries are tunnels (listed in tunnels(), ascending index) and split routes // (a DAG with per-router split tables; not listed). Injection: equal sources (round robin over the -// roster, the sources with an entry) or captured source weights (source_weights(): highest +// roster: the sources with an entry, or for T1 the policy's roster, heads without an up tunnel +// included) or captured source weights (source_weights(): highest // averages over every roster source's saved supply, zero included); then each head splits its // share by highest averages over its entries' weights. Identical routes are never merged. // A program also keeps what a replay under a failure rebuilds its roster from (its basis: the diff --git a/python/netgraph_core/__init__.py b/python/netgraph_core/__init__.py index cccda48..d522a91 100644 --- a/python/netgraph_core/__init__.py +++ b/python/netgraph_core/__init__.py @@ -12,8 +12,9 @@ - Forwarding programs: ``ForwardingProgram`` (with its ``Tunnel`` entries and ``ForwardingProgram.from_routes`` over ``Route`` values), ``TunnelStatus``. - The policy engine: ``FlowPolicy``, ``FlowPolicyConfig``, the routings ``CostOnly``, - ``CapacityAware``, ``Global``, ``Pinned``, and ``PlacementResult`` (with its ``SourceFlow`` - and ``TunnelFlow`` rows), ``OutputOptions``, ``Termination``. + ``CapacityAware`` (T1, with ``Tunnels``), ``Global``, ``Pinned``, and ``PlacementResult`` + (with its ``SourceFlow`` and ``TunnelFlow`` rows and its ``TunnelPlan``), ``OutputOptions``, + ``Termination``. - The shortest-path cache: ``DagCache`` (building and frozen modes), ``DagCacheMiss``. - The evaluators: ``capacity``, ``batch_capacity``, ``sensitivity``. - The searches: ``spf`` (``Direction``, ``SpfOptions``, ``SpfResult``, ``UNREACHABLE``), @@ -25,7 +26,6 @@ from importlib.metadata import version as _version from _netgraph_core import ( - MAX_FLOWS_PER_CALL, UNREACHABLE, Absolute, Admission, @@ -34,7 +34,6 @@ DagCache, DagCacheMiss, DagCacheStats, - DiminishingReturns, Direction, EdgePriority, EdgeTieBreak, @@ -66,6 +65,8 @@ Termination, Tunnel, TunnelFlow, + TunnelPlan, + Tunnels, TunnelStatus, WeightBasis, as_float, @@ -103,7 +104,7 @@ "ForwardingProgram", "Absolute", "Stretch", - "DiminishingReturns", + "Tunnels", "CostOnly", "CapacityAware", "Global", @@ -114,8 +115,8 @@ "PlacementResult", "SourceFlow", "TunnelFlow", + "TunnelPlan", "FlowPolicy", - "MAX_FLOWS_PER_CALL", "DagCache", "DagCacheMiss", "DagCacheStats", diff --git a/python/netgraph_core/__init__.pyi b/python/netgraph_core/__init__.pyi index 2063d6d..39978ae 100644 --- a/python/netgraph_core/__init__.pyi +++ b/python/netgraph_core/__init__.pyi @@ -13,8 +13,9 @@ to this file (``py.typed`` marks the package as typed). - Forwarding programs: ``ForwardingProgram`` (with its ``Tunnel`` entries and ``ForwardingProgram.from_routes`` over ``Route`` values), ``TunnelStatus``. - The policy engine: ``FlowPolicy``, ``FlowPolicyConfig``, the routings ``CostOnly``, - ``CapacityAware``, ``Global``, ``Pinned``, and ``PlacementResult`` (with its ``SourceFlow`` - and ``TunnelFlow`` rows), ``OutputOptions``, ``Termination``. + ``CapacityAware`` (T1, with ``Tunnels``), ``Global``, ``Pinned``, and ``PlacementResult`` + (with its ``SourceFlow`` and ``TunnelFlow`` rows and its ``TunnelPlan``), ``OutputOptions``, + ``Termination``. - The shortest-path cache: ``DagCache`` (building and frozen modes), ``DagCacheMiss``. - The evaluators: ``capacity``, ``batch_capacity``, ``sensitivity``. - The searches: ``spf`` (``Direction``, ``SpfOptions``, ``SpfResult``, ``UNREACHABLE``), @@ -53,7 +54,7 @@ __all__: list[str] = [ "ForwardingProgram", "Absolute", "Stretch", - "DiminishingReturns", + "Tunnels", "CostOnly", "CapacityAware", "Global", @@ -64,8 +65,8 @@ __all__: list[str] = [ "PlacementResult", "SourceFlow", "TunnelFlow", + "TunnelPlan", "FlowPolicy", - "MAX_FLOWS_PER_CALL", "DagCache", "DagCacheMiss", "DagCacheStats", @@ -88,8 +89,8 @@ __version__: str class FlowPlacement: """ - How traffic spreads over the routes (CostOnly's kernel; CapacityAware's flows; the interior split - of supplied PredDAG routes, EQUAL_BALANCED or WEIGHTED). + How traffic spreads over the routes (CostOnly's kernel; the interior split of supplied PredDAG + routes, EQUAL_BALANCED or WEIGHTED). MAX_FLOW: the minimum-cost flow core over the routes (a controller restricted to them), re-solved over the free capacity plus the policy's own allocation (it may move its own earlier placement, never another's). WEIGHTED (WCMP, weighted-cost multipath): every node splits in proportion to @@ -305,12 +306,12 @@ class EdgeTieBreak: class EdgePriority: """ - The per-edge value PREFER_HIGHER_PRIORITY reads (single-path and parallel-member choices) and, - for CapacityAware's WEIGHTED flows, the value that decides which edges a flow uses and their - weights: RESIDUAL (residual units), CAPACITY (static capacity units), HEADROOM (residual / - capacity, compared exactly as a fraction, 0 on an edge of capacity 0; rejected with - CapacityAware's WEIGHTED). A search without a residual reads the static capacity as the residual: - RESIDUAL and CAPACITY read the capacity, HEADROOM 1 (0 on an edge of capacity 0). + The per-edge value PREFER_HIGHER_PRIORITY reads (single-path and parallel-member choices): + RESIDUAL (residual units), CAPACITY (static capacity units), HEADROOM (residual / capacity, + compared exactly as a fraction, 0 on an edge of capacity 0). A search without a residual reads + the static capacity as the residual: RESIDUAL and CAPACITY read the capacity, HEADROOM 1 (0 on + an edge of capacity 0). T1's CSPF reads its unreserved view U instead (RESIDUAL U, HEADROOM + U / capacity). Members: @@ -392,9 +393,11 @@ class Direction: class PathSelection: """ The selection of a search or a policy: tie_break (DETERMINISTIC by default), priority - (CAPACITY by default); multipath = True keeps every equal-cost walk (the DAG), False the one - canonical single path; multi_edge = True keeps every eligible parallel member, False one per - (u, v) pair. A tie_break or priority outside its enumeration raises ValueError. + (CAPACITY by default); multipath None (the default) is the model's natural shape (every + equal-cost walk for searches and CostOnly, one path for a tunnel model), True every equal-cost + walk (the DAG; tunnel models reject it), False the one canonical single path; multi_edge = True + keeps every eligible parallel member, False one per (u, v) pair. A tie_break or priority + outside its enumeration raises ValueError. """ def __eq__(self, arg0: typing.Any) -> bool: ... @@ -403,7 +406,7 @@ class PathSelection: self, tie_break: EdgeTieBreak = ..., priority: EdgePriority = ..., - multipath: bool = True, + multipath: bool | None = None, multi_edge: bool = True, ) -> None: ... def __repr__(self) -> str: ... @@ -414,9 +417,10 @@ class PathSelection: """ @property - def multipath(self) -> bool: + def multipath(self) -> bool | None: """ - True: every equal-cost walk (a DAG); False: the canonical single path + None: the model's natural shape; True: every equal-cost walk (a DAG); False: the canonical + single path """ @property @@ -692,11 +696,12 @@ class Path: class FlowRecord: """ One flow of a ledger, as a snapshot: flow_id (ledger uid, id), owner (the policy's id), - sources, destinations, admission, entry (a Pinned policy's program entry, else None), bundle + sources, destinations, admission, entry (a T1 or Pinned policy's program entry, else None), bundle (PredDAG: the flow's route), route_cost (its minimum walk cost; None when empty), offered (Lossy only, else None), - delivered, edges [(EdgeId, units)] and drops [(EdgeId, units)] (cumulative, ascending - EdgeId). offered and the drops units are exact Python ints (they may exceed 64 bits). + delivered, edges [(EdgeId, units)] (carried load) and drops [(EdgeId, units)] (cumulative, + ascending EdgeId), reserved_edges [(EdgeId, units)] (T1's strict holds, ascending EdgeId). offered + and the drops units are exact Python ints (they may exceed 64 bits). """ def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... @@ -741,8 +746,8 @@ class FlowRecord: @property def entry(self) -> int | None: """ - the program entry the record carries (a Pinned policy: the entry identifier); None for the - records kept per roster source (CostOnly, Global) or per flow (CapacityAware) + the program entry the record carries (T1 and Pinned: the entry identifier); None for the + records kept per roster source (CostOnly, Global) """ @property @@ -764,6 +769,13 @@ class FlowRecord: the ledger-local id of the policy that created the flow """ + @property + def reserved_edges(self) -> list[tuple[int, int]]: + """ + T1: the strict holds of an up tunnel [(EdgeId, units)], its request on every link of its path, + ascending EdgeId; empty for every other record (holds never police traffic) + """ + @property def route_cost(self) -> int | None: """ @@ -779,11 +791,14 @@ class FlowRecord: class FlowLedger: """ - The integer ledger of one graph: a baseline residual in units (replaced only by reset()) and the - records of the flows placed on it by policies (the ledger has no public placement or removal). - allocated() is the sum of every record's edges and residual() = baseline - allocated(), both - int64[E] snapshots. reset() and copy() are rejected while a policy is bound (a FlowPolicy built - on this ledger still exists). + The integer ledger of one graph, in two projections that are never added: carried traffic (the + service baseline; allocated() is the sum of every record's edges and residual() = baseline - + allocated()) and the strict holds of T1 tunnels (the reservation baseline; reserved() is the sum of + every record's reserved_edges and unreserved() = reservation baseline - reserved()), all int64[E] + snapshots. Traffic may use bandwidth that is held: holds never police. The baselines are replaced + only by reset(); the records are the flows placed on it by policies (the ledger has no public + placement, removal or reservation). reset() and copy() are rejected while a policy is bound (a + FlowPolicy built on this ledger still exists). """ def __copy__(self) -> FlowLedger: ... @@ -794,10 +809,15 @@ class FlowLedger: residual: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer] | None = None, + *, + unreserved: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None = None, ) -> None: """ - residual: the baseline as integer units, one entry per edge in [0, capacity_units[e]] (a - physical baseline goes through to_units first); None: the capacities. ValueError otherwise. + residual and unreserved: the service and reservation baselines as integer units, one entry per + edge in [0, capacity_units[e]] (a physical baseline goes through to_units first; residual checked + first); None: the capacities. ValueError otherwise. """ def allocated(self) -> numpy.typing.NDArray[numpy.int64]: @@ -825,7 +845,7 @@ class FlowLedger: def copy(self) -> FlowLedger: """ - a new ledger (new uid) with the same baseline and records, ids kept under the new uid; + a new ledger (new uid) with the same baselines, records and holds, ids kept under the new uid; ValueError while a policy is bound """ @@ -847,15 +867,24 @@ class FlowLedger: policy destroyed without remove()) """ + def reserved(self) -> numpy.typing.NDArray[numpy.int64]: + """ + int64[E] snapshot: strict holds per edge (T1), the sum of every record's reserved_edges + """ + def reset( self, residual: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer] | None = None, + *, + unreserved: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None = None, ) -> None: """ - A new baseline (None: the capacities); orphaned records and their allocations are cleared - and their ids retired (ids are never reused). ValueError while a policy is bound. + New baselines (None: the capacities); orphaned records with their allocations and holds are + cleared and their ids retired (ids are never reused). ValueError while a policy is bound. """ def residual(self) -> numpy.typing.NDArray[numpy.int64]: @@ -868,24 +897,37 @@ class FlowLedger: process-unique ledger uid (the first half of every FlowId) """ + def unreserved(self) -> numpy.typing.NDArray[numpy.int64]: + """ + int64[E] snapshot: reservation baseline minus strict holds, per edge + """ + class TunnelStatus: """ - A tunnel's state in one forwarding (a by_tunnel row). UP; FAILED: its path touches a node or - an edge the forwarding policy's Eligibility excludes, so it gets nothing and its head splits over - its other entries (replay); BLACKHOLED: up, but its path reaches a black hole of stale - forwarding, where its traffic is dropped. A program's own tunnels are all up. + A tunnel's state. UP; NO_BANDWIDTH and COST_CEILING: T1's setup left it down (no path passes + the bandwidth filter, or the cheapest exceeds the cost ceiling): no path, weight 0, and it + stays down in every forwarding of its program; and in one forwarding only (a by_tunnel row) + FAILED: its path touches a node or an edge the forwarding policy's Eligibility excludes, so it + gets nothing and its head splits over its other entries (replay), and BLACKHOLED: up, but its + path reaches a black hole of stale forwarding, where its traffic is dropped. Members: UP + NO_BANDWIDTH + + COST_CEILING + FAILED BLACKHOLED """ BLACKHOLED: typing.ClassVar[TunnelStatus] + COST_CEILING: typing.ClassVar[TunnelStatus] FAILED: typing.ClassVar[TunnelStatus] + NO_BANDWIDTH: typing.ClassVar[TunnelStatus] UP: typing.ClassVar[TunnelStatus] __members__: typing.ClassVar[dict[str, TunnelStatus]] @@ -914,22 +956,25 @@ class TunnelStatus: class Tunnel: """ - One tunnel (a path entry) of a ForwardingProgram, read-only. index: the entry identifier - (Global and CostOnly MAX_FLOW: the path's position in the decomposition order; supplied routes: - the route's position in the list), never a position in program.tunnels; head; local_index: its - position among the head's entries of both kinds; destination: where its path ends; edges: its - EdgeIds in path order; route_cost: the sum of their costs; weight: its integer share among the - head's entries (a controller path: its solved amount). + One tunnel (a path entry) of a ForwardingProgram, read-only. index: the entry identifier (T1: + j*H + i for round j and roster position i; Global and CostOnly MAX_FLOW: the path's position in + the decomposition order; supplied routes: the route's position in the list), never a position in + program.tunnels; head; local_index: its position among the head's entries of both kinds; + destination: where its path ends; edges: its EdgeIds in path order; route_cost: the sum of their + costs (all three None for a tunnel that is down); status: UP, NO_BANDWIDTH or COST_CEILING; + requested and reserved: T1's strict bandwidth (its request, and what it holds on every link of + its path: the request when UP, else 0; 0 for the other models); weight: its integer share among + the head's entries (T1: 1 up, 0 down; a controller path: its solved amount). """ def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... def __repr__(self) -> str: ... @property - def destination(self) -> int: ... + def destination(self) -> int | None: ... @property - def edges(self) -> tuple[int, ...]: + def edges(self) -> tuple[int, ...] | None: """ - the path's EdgeIds in path order + the path's EdgeIds in path order; None for a tunnel that is down """ @property @@ -939,7 +984,13 @@ class Tunnel: @property def local_index(self) -> int: ... @property - def route_cost(self) -> int: ... + def requested(self) -> int: ... + @property + def reserved(self) -> int: ... + @property + def route_cost(self) -> int | None: ... + @property + def status(self) -> TunnelStatus: ... @property def weight(self) -> int: ... @@ -988,7 +1039,7 @@ class ForwardingProgram: captured source supplies ((source, weight) for every roster source, ascending) of the optimized controllers, None for equal sources (round robin over the roster). Each head splits its share by highest averages over its entries' weights; identical routes are never merged. CostOnly and Global - produce one (FlowPolicy.program, PlacementResult.program; CapacityAware has none); from_routes builds + produce one (FlowPolicy.program, PlacementResult.program), and so does T1 (its tunnels); from_routes builds one from given routes; Pinned forwards one. No public constructor. """ @@ -1092,46 +1143,43 @@ class Stretch: the factor as a float """ -class DiminishingReturns: +class Tunnels: """ - The diminishing-returns guard of CapacityAware growth: stop once at least `window` - growth steps were accepted in the call and the last `window` gains sum below - `fraction` times the source's (finite) offer. window >= 1, fraction in (0, 1). + The tunnel count of T1 (CapacityAware) and T2, per head: count in [1, 10000] (checked when a + policy or an evaluator uses it). up_to=True (T2 only; T1 rejects it): one common count k in + 1..count for every head, the smallest that delivers the design. """ - def __init__( - self, - window: typing.SupportsIndex, - fraction: float | numpy.floating | typing.SupportsIndex, - ) -> None: + def __eq__(self, arg0: typing.Any) -> bool: ... + def __hash__(self) -> int: ... + def __init__(self, count: typing.SupportsIndex, *, up_to: bool = False) -> None: """ - DiminishingReturns(window, fraction): a 32-bit integer and a number, checked (window >= 1, - fraction in (0, 1)) when a policy is built with them. Here, a window outside 32 bits or a fraction - that is an integer beyond the largest finite float raises ValueError. + Tunnels(count, *, up_to=False): a 64-bit integer count (a bool, a float or an integer outside 64 bits + raises ValueError here; [1, 10000] is checked where it is used) and a bool """ def __repr__(self) -> str: ... @property - def fraction(self) -> float: + def count(self) -> int: """ - the share of the source's offer those steps must gain together to continue + the tunnels per head (the largest count for up_to) """ @property - def window(self) -> int: + def up_to(self) -> bool: """ - the number of recent accepted growth steps compared + True: the smallest sufficient count up to `count` (T2 only) """ class CostOnly: """ Routing like IGP forwarding (OSPF, IS-IS routers) on each roster source's static shortest-path DAG (read from the DagCache; the selection is applied at the epoch's first positive call), - never refreshed, grown or reoptimised; one record per roster source. EQUAL_BALANCED and - WEIGHTED pool the sources (origin EQUAL): where their routes meet, a router splits their traffic - once. MAX_FLOW is a controller on the union of those routes (origin OPTIMIZED or EQUAL). An edge - of capacity 0 stays in the DAG: EQUAL_BALANCED still sends it its share, which it cannot - carry, and WEIGHTED gives it weight 0. + fixed for the epoch; one record per roster source. EQUAL_BALANCED and WEIGHTED pool the sources + (origin EQUAL): where their routes meet, a router splits their traffic once. MAX_FLOW is a + controller on the union of those routes (origin OPTIMIZED or EQUAL). An edge of capacity 0 + stays in the DAG: EQUAL_BALANCED still sends it its share, which it cannot carry, and WEIGHTED + gives it weight 0. """ def __init__(self) -> None: @@ -1143,52 +1191,35 @@ class CostOnly: class CapacityAware: """ - Routing like distributed CSPF tunnels (each tunnel head picks its own shortest path among edges - with enough free capacity). Each source creates flow_count flows, one search at a time, on edges - with residual >= max(1, min_flow_bandwidth) units and within max_path_cost; while its offer is - unmet it adds flows up to max_flow_count (None: no ceiling). With reoptimize, a flow moves to a - new route only when it keeps its whole amount there. `diminishing` (None: off) stops adding flows - once the recent ones gain too little. + T1: every head sets up its own strict tunnels by CSPF, no controller (like RSVP-TE head ends). + The design volume D is split equally over the roster heads and each head's share equally over its + tunnels.count tunnels; in round order (round j, heads ascending: tunnel index j*H + i) each tunnel + keeps the allowed links whose unreserved capacity (the ledger's, minus the holds of every other + owner and of this setup's earlier tunnels) is at least max(request, min_unreserved_bandwidth) (a + request of 0 with a minimum of 0 has no filter) and takes the shortest path in the selection's + single-path order; it comes up holding exactly its request on every link (UP), or stays down + holding nothing: NO_BANDWIDTH (no path passes the filter) or COST_CEILING (the cheapest exceeds + max_path_cost: Absolute is inclusive; Stretch(f) is f times the smallest static shortest cost over + all roster heads). Traffic enters equally at the heads and splits equally over each head's up + tunnels; a head with no tunnel up loses its share. Holds never police traffic. """ def __init__( self, + tunnels: Tunnels, *, - flow_count: typing.SupportsIndex = 1, - max_flow_count: typing.SupportsIndex | None = None, max_path_cost: Absolute | Stretch | None = None, - min_flow_bandwidth: typing.SupportsIndex = 0, - reoptimize: bool = False, - diminishing: DiminishingReturns | None = None, + min_unreserved_bandwidth: typing.SupportsIndex = 0, ) -> None: """ - The fields are checked when a policy is built with them (flow_count >= 1, max_flow_count >= - flow_count, min_flow_bandwidth in [0, 2^62) units, the ceiling, the guard). Here, an integer field - of the wrong type or outside its integer type (32-bit flow_count and max_flow_count, 64-bit - min_flow_bandwidth) raises ValueError; a ceiling or guard of the wrong class, a reoptimize that is - not a bool, a number or None (a number or None counts by its truth value), and an unknown keyword - raise TypeError. + CapacityAware(tunnels, *, max_path_cost=None, min_unreserved_bandwidth=0): the fields are checked + when a policy is built with them (the count in [1, 10000] and exact, the ceiling, + min_unreserved_bandwidth in [0, 2^62) units). Here, a min_unreserved_bandwidth of the wrong type or + outside 64 bits raises ValueError; tunnels that is not a Tunnels, a ceiling of the wrong class and + an unknown keyword raise TypeError. """ def __repr__(self) -> str: ... - @property - def diminishing(self) -> DiminishingReturns | None: - """ - the growth guard; None: off - """ - - @property - def flow_count(self) -> int: - """ - the flows a source creates on its first positive request - """ - - @property - def max_flow_count(self) -> int | None: - """ - the most flows growth may reach per source; None: no ceiling - """ - @property def max_path_cost(self) -> Absolute | Stretch | None: """ @@ -1196,15 +1227,16 @@ class CapacityAware: """ @property - def min_flow_bandwidth(self) -> int: + def min_unreserved_bandwidth(self) -> int: """ - units in [0, 2^62): every search keeps only edges with at least max(1, this) residual units + units in [0, 2^62): a search minimum only (each attempt keeps the links with at least + max(request, this) unreserved units), never a reservation """ @property - def reoptimize(self) -> bool: + def tunnels(self) -> Tunnels: """ - True: a retained flow moves to a newly found route when it keeps its whole amount there + the tunnel count per head (a Tunnels) """ class Global: @@ -1269,19 +1301,21 @@ class Pinned: class FlowPolicyConfig: """ - One demand's settings: routing (CostOnly, CapacityAware, Global or Pinned), placement - (FlowPlacement: required for CostOnly and CapacityAware; Global and Pinned take none), admission - (LOSSLESS by default), selection (PathSelection; None: PathSelection(); Global and Pinned take - none), origin (Origin; None: the model's default, EQUAL for CostOnly EQUAL_BALANCED and WEIGHTED and - for CapacityAware, OPTIMIZED for CostOnly MAX_FLOW and Global; Pinned takes none, its program has - it), weights (WeightBasis, CostOnly WEIGHTED only; None: CAPACITY) and edge_weights (one integer per - edge, given exactly when weights=EXPLICIT; one array shared by every policy built from this + One demand's settings: routing (CostOnly, CapacityAware (T1), Global or Pinned), placement + (FlowPlacement: required for CostOnly; the other models take none), admission (LOSSLESS by + default; LOSSY for CostOnly EQUAL_BALANCED and WEIGHTED, T1 and Pinned), selection (PathSelection; + None: PathSelection(); Global and Pinned take none; T1 reads tie_break, priority and multi_edge and + rejects multipath=True), origin (Origin; None: the model's default, EQUAL for CostOnly EQUAL_BALANCED + and WEIGHTED and for T1, OPTIMIZED for CostOnly MAX_FLOW and Global; Pinned takes none, its program + has it), weights (WeightBasis, CostOnly WEIGHTED only; None: CAPACITY) and edge_weights (one integer + per edge, given exactly when weights=EXPLICIT; one array shared by every policy built from this configuration). A field that does not apply to the model must stay None. The combination is checked when a policy or an evaluator uses the configuration (ValueError): the enumeration values, then the - model's row (placement, origin, admission, selection, weights with edge_weights), then a DagCache - (only CostOnly reads one), then CapacityAware's parameters, then edge_weights' length and entries, - then the pooled single-path rule (CostOnly with several input sources rejects multipath=False with - PREFER_HIGHER_PRIORITY). + model's row (T1: an up_to count first; then placement, origin, admission, selection, weights with + edge_weights), then a DagCache (only CostOnly reads one), then T1's parameters (the tunnel count in + [1, 10000], max_path_cost, min_unreserved_bandwidth), then edge_weights' length and entries, then the + roster and count rules (CostOnly with several input sources rejects multipath=False with + PREFER_HIGHER_PRIORITY; T1's roster heads times its tunnel count at most 2^30 - 1). """ def __init__( @@ -1344,8 +1378,10 @@ class OutputOptions: """ Optional outputs of a placement (all false by default; absent outputs are None): edge_flows (the policy's own allocation per edge after the call), residual and - bottleneck (the ledger's after the call), and min_cut (Global with the optimized origin, - when its solve reached the maximum flow; None for every other model, origin or call). + bottleneck (the ledger's after the call), reservation_edge_flows (the policy's own strict + holds per edge after the call; zeros for a model without holds), and min_cut (Global with + the optimized origin, when its solve reached the maximum flow; None for every other + model, origin or call). """ def __init__( @@ -1354,6 +1390,7 @@ class OutputOptions: edge_flows: bool = False, residual: bool = False, bottleneck: bool = False, + reservation_edge_flows: bool = False, min_cut: bool = False, ) -> None: ... @property @@ -1374,6 +1411,12 @@ class OutputOptions: request PlacementResult.min_cut """ + @property + def reservation_edge_flows(self) -> bool: + """ + request PlacementResult.reservation_edge_flows + """ + @property def residual(self) -> bool: """ @@ -1384,25 +1427,18 @@ class Termination: """ How a call ended, the first that applies: COMPLETE for a zero request; NO_ROUTE for a positive request with an empty roster (no eligible source statically reaches an allowed destination); - NO_ACTIVE_WEIGHT when routes exist but none has a positive weight (WEIGHTED over edges of - capacity 0 only); a LOSSY finite request: COMPLETE (delivery and losses account for the whole - offer, which does not mean nothing was lost); otherwise COMPLETE when the whole request was - delivered, else EXHAUSTED (an infinite request is EXHAUSTED). A controller whose maximum is 0 - over existing routes is EXHAUSTED, not NO_ROUTE. - CapacityAware alone reduces per-source outcomes: a source is served when its offer is 0 or - delivered; an unserved source's outcome is LIMIT_FLOWS (creating or adding flows was stopped by - MAX_FLOWS_PER_CALL, or adding flows by a max_flow_count above flow_count), else - LIMIT_DIMINISHING (the diminishing guard), else NO_ROUTE (no flows), else EXHAUSTED; the call - takes the highest unserved outcome in that order, COMPLETE when every source is served. + NO_ACTIVE_WEIGHT when the program has an entry with a path (an up tunnel, a controller path or + a split route) but no head can use one (no positive weight: WEIGHTED over edges of capacity 0 + only, routes of weight 0, every up tunnel failed); a program whose tunnels are all down is not + this case; a LOSSY finite request: COMPLETE (delivery and losses account for the whole offer, + which does not mean nothing was lost); otherwise COMPLETE when the whole request was delivered, + else EXHAUSTED (an infinite request is EXHAUSTED). A controller whose maximum is 0 over existing + routes is EXHAUSTED, not NO_ROUTE. Members: COMPLETE - LIMIT_FLOWS - - LIMIT_DIMINISHING - NO_ROUTE EXHAUSTED @@ -1412,8 +1448,6 @@ class Termination: COMPLETE: typing.ClassVar[Termination] EXHAUSTED: typing.ClassVar[Termination] - LIMIT_DIMINISHING: typing.ClassVar[Termination] - LIMIT_FLOWS: typing.ClassVar[Termination] NO_ACTIVE_WEIGHT: typing.ClassVar[Termination] NO_ROUTE: typing.ClassVar[Termination] __members__: typing.ClassVar[dict[str, Termination]] @@ -1491,9 +1525,10 @@ class SourceFlow: class TunnelFlow: """ One program tunnel's forwarding in the epoch (read-only): index (its entry identifier) and - head, status (UP, FAILED, BLACKHOLED: TunnelStatus), assigned (its share of the injections: - LOSSY the shares sent to it, LOSSLESS what it carries), delivered and dropped (its losses on - links). Exact ints (assigned and dropped may exceed 64 bits). + head, status (TunnelStatus: UP; NO_BANDWIDTH or COST_CEILING for a tunnel T1's setup left + down; FAILED, BLACKHOLED in this forwarding), assigned (its share of the injections: LOSSY the + shares sent to it, LOSSLESS what it carries), delivered and dropped (its losses on links). + Exact ints (assigned and dropped may exceed 64 bits). """ def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... @@ -1531,7 +1566,42 @@ class TunnelFlow: @property def status(self) -> TunnelStatus: """ - UP, FAILED or BLACKHOLED in this forwarding + UP, a down tunnel's setup status (NO_BANDWIDTH, COST_CEILING), FAILED or BLACKHOLED in this + forwarding + """ + +class TunnelPlan: + """ + The tunnel models' setup summary (read-only): count (the tunnels per head), design_demand + (the design volume D in units), head_design ((head, RR(D, H, i)) for every roster head in + ascending NodeId) and reserved_total (T1's strict holds, counted once per up tunnel: the sum + of their requests). Exact ints. + """ + + def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... + def __repr__(self) -> str: ... + @property + def count(self) -> int: + """ + the tunnels per head + """ + + @property + def design_demand(self) -> int | float: + """ + the design volume D in units; float('inf') when unlimited + """ + + @property + def head_design(self) -> tuple[tuple[int, int], ...]: + """ + ((head, share), ...): every roster head's share RR(D, H, i), ascending NodeId + """ + + @property + def reserved_total(self) -> int: + """ + the strict holds of the up tunnels, each tunnel's request counted once """ class PlacementResult: @@ -1539,10 +1609,10 @@ class PlacementResult: The result of one call. This call: placed (units delivered by the call; replace, forward and evaluate: the full new delivery), remaining (request - placed; float('inf') for an infinite request), delivery_delta (new minus old delivery, may be negative), call_drops [(EdgeId, units)], - call_source_loss, termination, routes_changed and weights_changed. The demand's state after the call - (totals of the epoch): program (the installed ForwardingProgram; evaluate: the computed one; None - before the first preparation and for CapacityAware), requested (float('inf') after an infinite - request), offered (LOSSY: the traffic sent; None when LOSSLESS), admitted, delivered, unadmitted + call_source_loss, termination, routes_changed, weights_changed and reservations_changed. The + demand's state after the call (totals of the epoch): program (the installed ForwardingProgram; + evaluate: the computed one; None before the first preparation), plan (a TunnelPlan for T1; None for + every other model), requested (float('inf') after an infinite request), offered (LOSSY: the traffic sent; None when LOSSLESS), admitted, delivered, unadmitted (LOSSLESS: requested - delivered, None after an infinite request; LOSSY: 0), source_loss, drops [(EdgeId, units)], by_source (one SourceFlow per normalized input source, ascending NodeId), by_tunnel (one TunnelFlow per program tunnel, ascending index; an alternative view, never added to @@ -1550,8 +1620,8 @@ class PlacementResult: (unrestricted Global with the optimized origin only). LOSSY: offered = source_loss + sum(drops) + delivered. The rows sum to the totals, except for LOSSY with an empty roster, where the whole offer is the demand's source loss and every row is zero. Optional outputs, None unless requested: - edge_flows and residual (int64[E]), bottleneck, min_cut (they describe the same state; evaluate: the - evaluated one). Amounts that accumulate are exact ints (they may exceed 64 bits). + edge_flows, residual and reservation_edge_flows (int64[E]), bottleneck, min_cut (they describe the same + state; evaluate: the evaluated one). Amounts that accumulate are exact ints (they may exceed 64 bits). """ def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... @@ -1653,11 +1723,18 @@ class PlacementResult: the units placed (delivered) by this call """ + @property + def plan(self) -> TunnelPlan | None: + """ + T1: the TunnelPlan of the program after the call; None for every other model (Pinned over a T1 + program too) + """ + @property def program(self) -> ForwardingProgram | None: """ the installed ForwardingProgram after the call (evaluate: the computed one); None before the first - preparation and for CapacityAware + preparation """ @property @@ -1672,6 +1749,20 @@ class PlacementResult: the sum of the epoch's requests; float('inf') after an infinite one """ + @property + def reservation_edge_flows(self) -> numpy.typing.NDArray[numpy.int64] | None: + """ + if requested: the policy's own strict holds per edge after the call (int64[E], EdgeId order; zeros + for a model without holds), else None + """ + + @property + def reservations_changed(self) -> bool: + """ + True when a tunnel's requested or reserved amount differs from the installed program's, by + index (an absent tunnel holds 0): only T1 sets it; forward and Pinned never do + """ + @property def residual(self) -> numpy.typing.NDArray[numpy.int64] | None: """ @@ -1683,9 +1774,8 @@ class PlacementResult: """ True when the call's program differs from the installed one in its ordered heads, paths, split tables or duplicates (no program counts as the empty program; two programs without an entry - are equal); CapacityAware (no program): a flow was created (also at zero delivery), rerouted or - added. An offer-only change (forward, Pinned, CostOnly increments) and an identical replace set - nothing + are equal). An offer-only change (forward, Pinned, CostOnly increments) and an identical + replace set nothing """ @property @@ -1704,7 +1794,7 @@ class PlacementResult: def total_cost(self) -> int | None: """ controllers (Global, CostOnly MAX_FLOW): the exact sum of cost * flow over the policy's - allocation; None for the other models + allocation; None for the other models (T1, Pinned) """ @property @@ -1717,8 +1807,8 @@ class PlacementResult: def weights_changed(self) -> bool: """ True when the call's program differs from the installed one in its injection (source weights) - or any entry or split-table weight (a controller's re-solve that changes a path's amount); - CapacityAware: a rerouted WEIGHTED flow captured new weights + or any entry or split-table weight (a controller's re-solve that changes a path's amount; an + absent entry weighs 0) """ class DagCacheStats: @@ -1845,27 +1935,30 @@ class FlowPolicy: routing reads it, another model rejects it) belong to the ledger's graph; the policy keeps the ledger, elig and cache alive (a Pinned policy shares its program and black holes). The roster (the sources that statically reach an allowed destination, over allowed edges whatever their - capacity; Pinned: the program's heads that reach an allowed destination over its basis under elig) - is fixed here. Everything is validated before the policy binds, in this order: the endpoints, the + capacity, T1's heads; Pinned: the program's heads that reach an allowed destination over its basis + under elig) is fixed here. Everything is validated before the policy binds, in this order: the endpoints, the graph of elig, the program, the support, the cache and the black holes (`foreign Eligibility: built for another graph`, `program belongs to another graph`, `support belongs to another graph`, `foreign DagCache: bound to another graph`, `black_holes belongs to another graph`), the - configuration (FlowPolicyConfig's order), then the pooled single-path rule and a Pinned program's - endpoints (`program endpoints do not match policy endpoints`). + configuration (FlowPolicyConfig's order), then the pooled single-path rule, T1's tunnel limit + (`tunnel limit exceeded: heads x tunnels > 1073741823`) and a Pinned program's endpoints + (`program endpoints do not match policy endpoints`). """ def evaluate( self, offer: typing.SupportsIndex | float | numpy.floating, *, + design_demand: typing.SupportsIndex | float | numpy.floating | None = None, outputs: OutputOptions | None = None, ) -> PlacementResult: """ A full, independent computation and forwarding of offer (int units or float('inf')) from the - policy's own released view (the residual plus its own carried load), as replace would do it -> - PlacementResult (the computed program, the flags replace would set, the outputs of the evaluated - state); publishes nothing, creates no record and leaves the epoch as it was. LOSSY requires a - finite offer. + policy's own released view (the residual plus its own carried load; T1 sets up on the unreserved + capacity with its own holds released), as replace would do it -> PlacementResult (the computed + program and plan, the flags replace would set, the outputs of the evaluated state); publishes + nothing, creates no record, books no hold and leaves the epoch as it was. design_demand as for + replace. LOSSY requires a finite offer. """ def forward( @@ -1876,13 +1969,14 @@ class FlowPolicy: outputs: OutputOptions | None = None, ) -> PlacementResult: """ - Forward a full new offer over the installed program, with no route computation, on the released - view -> PlacementResult; a new epoch like replace, the program kept (no flag). LOSSLESS admits the + Forward a full new offer over the installed program, with no route computation and no setup, on the + released view -> PlacementResult; a new epoch like replace, the program and T1's holds kept (no + flag; T1's records are recreated with the same reserved_edges). LOSSLESS admits the program's lossless bound up to the offer; LOSSY sends the offer. black_holes (an Eligibility of the graph): the nodes and edges it excludes are black holes for this call (stale forwarding: traffic reaching one is dropped there; a black-holed source loses its share). In this order: Pinned raises - `Pinned forwards with replace`; no installed program `forward requires an installed program` - (also CapacityAware); the offer; LOSSY +inf `LOSSY forwarding requires a finite offer`; black_holes + `Pinned forwards with replace`; no installed program `forward requires an installed program`; + the offer; LOSSY +inf `LOSSY forwarding requires a finite offer`; black_holes of another graph `black_holes belongs to another graph`. """ @@ -1892,7 +1986,8 @@ class FlowPolicy: outputs: OutputOptions | None = None, ) -> PlacementResult: """ - Place volume (int units in [0, 2^62), or float('inf')) all or nothing -> PlacementResult. + Place volume (int units in [0, 2^62), or float('inf')) all or nothing -> PlacementResult. T1 raises + `T1 does not support incremental placement` (also for 0). Requests add up within an epoch (from construction, the last remove(), replace() or forward()); after float('inf') any finite request is rejected, 0 included. A request of 0 places nothing and reports the current state. CostOnly prepares its program at the epoch's first positive request; @@ -1901,7 +1996,8 @@ class FlowPolicy: injections, each head splitting its increment afresh (earlier drops are not offered again); a controller re-solves admitted + volume. A LOSSY float('inf') is CostOnly's first-hop experiment; Pinned raises `LOSSY forwarding requires a finite offer`. outputs (OutputOptions; None: none) - requests edge_flows, residual, bottleneck and min_cut. Everything is validated before any change; a + requests edge_flows, residual, bottleneck, reservation_edge_flows and min_cut. Everything is + validated before any change; a failed call raises with the ledger and the policy unchanged. A solve of the flow core (Global, CostOnly MAX_FLOW, or a MAX_FLOW flow) on a network beyond its int32 numbering raises ValueError: more than INT32_MAX - 2 nodes, or more than 2^30 - 1 edges, sources and destinations together. A @@ -1929,20 +2025,25 @@ class FlowPolicy: def remove(self) -> None: """ - revert every flow of the policy, retire the ids, clear the program, open a new epoch + revert every flow and hold of the policy, retire the ids, clear the program, open a new epoch """ def replace( self, offer: typing.SupportsIndex | float | numpy.floating, *, + design_demand: typing.SupportsIndex | float | numpy.floating | None = None, outputs: OutputOptions | None = None, ) -> PlacementResult: """ Recompute from the policy's own released view and forward the full offer, published atomically -> - PlacementResult: the old records are retired (their ids never live again), new ones created, and a - new epoch starts at this offer (delivery may go down: delivery_delta). CostOnly prepares its routes - again; a controller re-solves; Pinned forwards its program. LOSSY requires a finite offer. + PlacementResult: the old records and holds are retired (their ids never live again), new ones + created, and a new epoch starts at this offer (delivery may go down: delivery_delta). CostOnly + prepares its routes again; a controller re-solves; T1 sets its tunnels up again for the design and + books their holds; Pinned forwards its program. design_demand (T1 only: int units, or + float('inf'), which T1 rejects; None: equal to the offer): T1 needs a finite design (`T1 requires a + finite design demand`); every other model raises ` does not accept design_demand`. In this + order: the offer, LOSSY's finite offer, then the design demand (the model, its domain, finiteness). """ @property @@ -1955,18 +2056,21 @@ class FlowPolicy: @property def program(self) -> ForwardingProgram | None: """ - the installed ForwardingProgram; None before the first preparation, after remove() and for - CapacityAware + the installed ForwardingProgram; None before the first preparation and after remove() """ class QueryOptions: """ The options of every evaluator (capacity, batch_capacity, sensitivity): the configuration, the static Eligibility (None: all allowed), the DagCache (None: private per worker), the - optional outputs of each result (sensitivity: of its baseline) and offered (int units or - float('inf'); None: absent), the offer of a Pinned LOSSY evaluation: required and finite - there; a LOSSLESS model rejects it (` LOSSLESS capacity does not accept offered`), - CostOnly LOSSY too (`CostOnly LOSSY capacity uses first-hop injection`). + optional outputs of each result (sensitivity: of its baseline), design_demand (int units or + float('inf'); None: absent): T1's design, always required and finite (`T1 capacity requires + design_demand`, `T1 requires a finite design demand`), rejected by every other model + (` does not accept design_demand`), and offered (int units or float('inf'); None: + absent), the offer of a T1 or Pinned LOSSY evaluation: required and finite there (` LOSSY capacity requires finite offered`); a LOSSLESS model rejects it (` + LOSSLESS capacity does not accept offered`), CostOnly LOSSY too (`CostOnly LOSSY capacity + uses first-hop injection`). """ def __init__( @@ -1976,6 +2080,7 @@ class QueryOptions: elig: Eligibility | None = None, cache: DagCache | None = None, outputs: OutputOptions | None = None, + design_demand: typing.SupportsIndex | float | numpy.floating | None = None, offered: typing.SupportsIndex | float | numpy.floating | None = None, ) -> None: ... @property @@ -1990,6 +2095,12 @@ class QueryOptions: the FlowPolicyConfig of every evaluated policy (sensitivity: the baseline and every deletion) """ + @property + def design_demand(self) -> int | float | None: + """ + T1's design volume (int units, or float('inf')); None: absent + """ + @property def elig(self) -> Eligibility | None: """ @@ -1999,7 +2110,7 @@ class QueryOptions: @property def offered(self) -> int | float | None: """ - the offer of a Pinned LOSSY evaluation (int units, or float('inf')); None: absent + the offer of a T1 or Pinned LOSSY evaluation (int units, or float('inf')); None: absent """ @property @@ -2261,7 +2372,8 @@ def capacity( ) -> PlacementResult: """ place(+inf) of a FlowPolicy with opts.config on a fresh ledger of the graph (Pinned LOSSY: - place(opts.offered)) -> PlacementResult. + place(opts.offered); T1: evaluate(+inf or opts.offered, design_demand=opts.design_demand), the + lossless bound of the tunnels set up for the design, or what they deliver of offered) -> PlacementResult. The exact maximum flow is Global() (the optimized origin); with origin=EQUAL, the largest total whose round-robin source shares are all carried. A supplied frozen cache raises DagCacheMiss for an absent key, unchanged. @@ -2371,5 +2483,4 @@ def to_units( resolution: typing.SupportsFloat | typing.SupportsIndex, ) -> numpy.typing.NDArray[numpy.int64]: ... -MAX_FLOWS_PER_CALL: int = 10000 UNREACHABLE: int = 9223372036854775807 diff --git a/src/evaluators.cpp b/src/evaluators.cpp index 6169035..c537a5b 100644 --- a/src/evaluators.cpp +++ b/src/evaluators.cpp @@ -1,5 +1,6 @@ /* - capacity() is place(+inf) on a fresh ledger (Pinned Lossy: place(offered)). batch_capacity() + capacity() is place(+inf) on a fresh ledger (Pinned Lossy: place(offered); T1: evaluate of its + design, with +inf or the offered amount). batch_capacity() runs it per pair and sensitivity() per candidate deletion on `workers` threads; results follow input order and the lowest failing index supplies the exception. Unrestricted Global with the optimized origin repairs the baseline flow after each deletion. CostOnly skips an edge that no @@ -38,36 +39,63 @@ std::shared_ptr borrowed(const Graph& g) { return std::shared_ptr(std::shared_ptr {}, &g); } -// The evaluators' offer (12.1): `offered` in its domain, then the model's rule; returns the call's -// request (+inf, or a Pinned Lossy finite offer). -std::optional evaluator_offer(const FlowPolicyConfig& cfg, const std::optional>& offered) { +// The call an evaluator makes on its fresh policy (12.1): place(offer), or for T1 evaluate(offer, +// design) (`full`). +struct EvaluatorCall { + std::optional offer {}; + std::optional design {}; + bool full {false}; +}; + +bool outside(const std::optional>& x) noexcept { + return x.has_value() && x->has_value() && (**x < 0 || **x >= kDomainLimit); +} + +// The evaluators' amounts (12.1): `offered` and `design_demand` in their domains, the design's +// rules, then the model's offer rule. +EvaluatorCall evaluator_call(const FlowPolicyConfig& cfg, const std::optional>& offered, + const std::optional>& design) { const auto& r = cfg.routing; - if (offered.has_value() && offered->has_value() && (**offered < 0 || **offered >= kDomainLimit)) { - throw std::invalid_argument("offered must be an integer in [0, 2^62) or permitted +inf"); - } + if (outside(offered)) throw std::invalid_argument("offered must be an integer in [0, 2^62) or permitted +inf"); + if (outside(design)) throw std::invalid_argument("design_demand must be an integer in [0, 2^62) or permitted +inf"); const std::string model = detail::model_name(r); + const bool t1 = std::holds_alternative(r); + EvaluatorCall call; + if (design.has_value() && !t1) throw std::invalid_argument(model + " does not accept design_demand"); + if (t1) { + if (!design.has_value()) throw std::invalid_argument("T1 capacity requires design_demand"); + if (!design->has_value()) throw std::invalid_argument("T1 requires a finite design demand"); + call.design = *design; + call.full = true; + } if (cfg.admission == Admission::Lossless) { if (offered.has_value()) throw std::invalid_argument(model + " LOSSLESS capacity does not accept offered"); - return std::nullopt; + return call; } - if (std::holds_alternative(r)) { + if (t1 || std::holds_alternative(r)) { if (!offered.has_value() || !offered->has_value()) { - throw std::invalid_argument("Pinned LOSSY capacity requires finite offered"); + throw std::invalid_argument(model + " LOSSY capacity requires finite offered"); } - return *offered; + call.offer = *offered; + return call; } if (offered.has_value()) throw std::invalid_argument("CostOnly LOSSY capacity uses first-hop injection"); - return std::nullopt; + return call; +} + +// The evaluation of a fresh policy. +PlacementResult run(FlowPolicy& policy, const EvaluatorCall& call, const OutputOptions& outputs) { + if (call.full) return policy.evaluate(call.offer, call.design, outputs); + return policy.place(call.offer, outputs); } // One evaluation inside a public call: a supplied frozen cache's hit goes to the call's tally. -PlacementResult evaluate(const Graph& g, std::span sources, - std::span destinations, const FlowPolicyConfig& cfg, const Eligibility* elig, - DagCache* cache, const OutputOptions& outputs, const std::optional>& offered, - detail::FrozenTally& tally) { +PlacementResult evaluate(const Graph& g, std::span sources, std::span destinations, + const QueryOptions& opts, const Eligibility* elig, DagCache* cache, + const OutputOptions& outputs, detail::FrozenTally& tally) { FlowLedger fg(borrowed(g)); - FlowPolicy policy = detail::PolicyAccess::make(fg, sources, destinations, cfg, elig, cache, tally); - return policy.place(evaluator_offer(policy.config(), offered), outputs); + FlowPolicy policy = detail::PolicyAccess::make(fg, sources, destinations, opts.config, elig, cache, tally); + return run(policy, evaluator_call(policy.config(), opts.offered, opts.design_demand), outputs); } void check_common(const Graph& g, const Eligibility* elig, const DagCache* cache, std::int32_t workers) { @@ -198,7 +226,7 @@ void check_batch_arguments(const Graph& g, const QueryOptions& opts, std::int32_ throw std::invalid_argument("support belongs to another graph"); } (void)resolve_config(opts.config, opts.cache != nullptr, g.num_edges()); - (void)evaluator_offer(opts.config, opts.offered); + (void)evaluator_call(opts.config, opts.offered, opts.design_demand); } void check_batch_pair(const Graph& g, const FlowPolicyConfig& cfg, std::span sources, @@ -215,7 +243,7 @@ void check_batch_pair(const Graph& g, const FlowPolicyConfig& cfg, std::span sources, std::span destinations, const QueryOptions& opts, FrozenTally& tally) { - return evaluate(g, sources, destinations, opts.config, opts.elig, opts.cache, opts.outputs, opts.offered, tally); + return evaluate(g, sources, destinations, opts, opts.elig, opts.cache, opts.outputs, tally); } std::vector batch_capacity_in_call( @@ -244,8 +272,8 @@ std::vector batch_capacity_in_call( elig = &*both; } } - results[i] = evaluate(g, pairs[i].first, pairs[i].second, opts.config, elig, worker_cache(opts.config, cache), - opts.outputs, opts.offered, tally); + results[i] = evaluate(g, pairs[i].first, pairs[i].second, opts, elig, worker_cache(opts.config, cache), + opts.outputs, tally); }); std::vector out; out.reserve(results.size()); @@ -276,7 +304,7 @@ SensitivityResult sensitivity_in_call(const Graph& g, std::span so FlowPolicy policy = PolicyAccess::make(fg, sources, destinations, opts.config, opts.elig, cache, tally); auto& pe = PolicyAccess::engine(policy); if (global) pe.capture = &capture; - out.baseline = policy.place(evaluator_offer(policy.config(), opts.offered), opts.outputs); + out.baseline = run(policy, evaluator_call(policy.config(), opts.offered, opts.design_demand), opts.outputs); pe.capture = nullptr; if (cost_only) on_route = reachable_support(g, pe); } @@ -324,8 +352,8 @@ SensitivityResult sensitivity_in_call(const Graph& g, std::span so const EdgeId one[1] = {e}; Eligibility deleted = g.eligibility({}, one); if (opts.elig != nullptr) deleted = Eligibility::intersect(*opts.elig, deleted); - const auto r = evaluate(g, sources, destinations, opts.config, &deleted, worker_cache(opts.config, cache), - OutputOptions {}, opts.offered, tally); + const auto r = evaluate(g, sources, destinations, opts, &deleted, worker_cache(opts.config, cache), + OutputOptions {}, tally); entry.loss = base - r.placed; } if (&cache != opts.cache) cache.clear(); diff --git a/src/flow_ledger.cpp b/src/flow_ledger.cpp index c96970e..0446dd1 100644 --- a/src/flow_ledger.cpp +++ b/src/flow_ledger.cpp @@ -1,14 +1,16 @@ /* The integer ledger FlowLedger. - The aggregate allocation is kept exactly (integers) and changed only by an atomic commit, a - detach or a reset (which zeroes it); residual() is derived from it (baseline - allocated). + The aggregate allocation and the aggregate holds are kept exactly (integers) and changed only by + an atomic commit, a detach or a reset (which zeroes them); residual() and unreserved() are + derived from them (each baseline minus its aggregate). The two projections are never added. Records are kept by id (FlowId order); ids come from a per-ledger counter and are never reused, also across reset(). */ #include "netgraph/core/flow_ledger.hpp" #include +#include #include #include #include @@ -31,7 +33,17 @@ FlowLedger::FlowLedger(std::shared_ptr graph) { FlowLedger::FlowLedger(std::shared_ptr graph, std::span residual) { if (!graph) throw std::invalid_argument("FlowLedger: graph is null"); graph_ = std::move(graph); - baseline_ = checked_baseline(residual); + baseline_ = checked_baseline(residual, "residual"); + allocated_.assign(baseline_.size(), 0); + uid_ = detail::next_uid(); +} + +FlowLedger::FlowLedger(std::shared_ptr graph, std::span residual, + std::span unreserved) { + if (!graph) throw std::invalid_argument("FlowLedger: graph is null"); + graph_ = std::move(graph); + baseline_ = checked_baseline(residual, "residual"); + reservation_baseline_ = checked_baseline(unreserved, "unreserved"); allocated_.assign(baseline_.size(), 0); uid_ = detail::next_uid(); } @@ -45,6 +57,8 @@ FlowLedger::FlowLedger(const FlowLedger& other) { uid_ = detail::next_uid(); baseline_ = other.baseline_; allocated_ = other.allocated_; + reservation_baseline_ = other.reservation_baseline_; + reserved_ = other.reserved_; records_ = other.records_; owner_ids_ = other.owner_ids_; for (auto& [id, rec] : records_) rec.flow_id = FlowId {uid_, id}; @@ -62,6 +76,8 @@ FlowLedger::FlowLedger(FlowLedger&& other) { uid_ = other.uid_; baseline_ = std::move(other.baseline_); allocated_ = std::move(other.allocated_); + reservation_baseline_ = std::move(other.reservation_baseline_); + reserved_ = std::move(other.reserved_); records_ = std::move(other.records_); owner_ids_ = std::move(other.owner_ids_); next_id_ = other.next_id_; @@ -70,6 +86,8 @@ FlowLedger::FlowLedger(FlowLedger&& other) { other.usable_ = false; other.baseline_.clear(); other.allocated_.clear(); + other.reservation_baseline_.clear(); + other.reserved_.clear(); other.records_.clear(); other.owner_ids_.clear(); other.owners_.clear(); @@ -79,9 +97,9 @@ void FlowLedger::check_usable() const { if (!usable_) throw std::logic_error("FlowLedger: a moved-from ledger is empty and unusable"); } -std::vector FlowLedger::checked_baseline(std::span residual) const { - detail::check_edge_amounts(*graph_, residual, "residual"); - return std::vector(residual.begin(), residual.end()); +std::vector FlowLedger::checked_baseline(std::span amounts, const char* label) const { + detail::check_edge_amounts(*graph_, amounts, label); + return std::vector(amounts.begin(), amounts.end()); } std::uint64_t FlowLedger::uid() const { @@ -111,6 +129,18 @@ std::vector FlowLedger::allocated() const { return allocated_; } +std::vector FlowLedger::reserved() const { + check_usable(); + return reserved_.empty() ? std::vector(baseline_.size(), 0) : reserved_; +} + +std::vector FlowLedger::unreserved() const { + check_usable(); + std::vector out(baseline_.size()); + for (std::size_t e = 0; e < out.size(); ++e) out[e] = reservation_at(e) - reserved_at(e); + return out; +} + std::vector FlowLedger::records() const { check_usable(); std::vector out; @@ -194,13 +224,31 @@ void FlowLedger::reset() { void FlowLedger::reset(std::span residual) { check_usable(); + check_resettable(); + install(checked_baseline(residual, "residual"), {}); +} + +void FlowLedger::reset(std::span residual, std::span unreserved) { + check_usable(); + check_resettable(); + auto baseline = checked_baseline(residual, "residual"); + install(std::move(baseline), checked_baseline(unreserved, "unreserved")); +} + +void FlowLedger::check_resettable() const { if (num_bound_ != 0) { throw std::invalid_argument("FlowLedger.reset is rejected while a policy is bound (" + std::to_string(num_bound_) + " bound)"); } - auto baseline = checked_baseline(residual); +} + +// The new baselines (an empty reservation: the capacities) and no records; allocated_ keeps its +// size, so nothing here allocates. +void FlowLedger::install(std::vector baseline, std::vector reservation) { + allocated_.assign(baseline.size(), 0); + reserved_.clear(); baseline_ = std::move(baseline); - allocated_.assign(baseline_.size(), 0); + reservation_baseline_ = std::move(reservation); records_.clear(); owner_ids_.clear(); owners_.clear(); @@ -221,7 +269,8 @@ bool is_bound(const std::map& owners, std::int64_t owner) { // later commits ignore old stamps, including after an exception. Only stamp wraparound (after // 2^32 commits on one thread, which a long-running process reaches) needs a full stamp clear. // Delta and stamp share one array: failed growth leaves the old array intact (the strong -// guarantee). +// guarantee). One scratch per projection (Projection 0: carried loads, 1: holds). +template class DeltaScratch { public: explicit DeltaScratch(std::size_t num_edges) : s_(storage()) { @@ -271,6 +320,7 @@ FlowRecord record_of(std::uint64_t uid, std::int64_t id, std::int64_t owner, Dra rec.owner = owner; std::erase_if(rec.edges, [](const auto& p) { return p.second == 0; }); std::erase_if(rec.drops, [](const auto& p) { return p.second.is_zero(); }); + std::erase_if(rec.reserved_edges, [](const auto& p) { return p.second == 0; }); return rec; } @@ -308,6 +358,7 @@ std::vector LedgerAccess::detach(FlowLedger& fg, std::int64_t owne for (std::int64_t id : ids) { const auto rec = fg.records_.find(id); for (const auto& [e, x] : rec->second.edges) fg.allocated_[static_cast(e)] -= x; + for (const auto& [e, x] : rec->second.reserved_edges) fg.reserved_[static_cast(e)] -= x; fg.records_.erase(rec); } return ids; @@ -330,11 +381,12 @@ std::vector LedgerAccess::commit_drafts(FlowLedger& fg, std::int64_t own const auto owned = fg.owner_ids_.find(owner); const std::size_t num_current = owned == fg.owner_ids_.end() ? 0 : owned->second.size(); if (owned == fg.owner_ids_.end() && drafts.size() == 1 && !drafts[0].id.has_value() && + drafts[0].record.reserved_edges.empty() && std::adjacent_find(drafts[0].record.edges.begin(), drafts[0].record.edges.end(), [](const auto& a, const auto& b) { return a.first >= b.first; }) == drafts[0].record.edges.end()) { - // One new record for an owner without live records (a fresh placement), its edges strictly - // ascending: each touched edge's delta is the draft's own amount, touched in the draft's order, + // One new record without holds for an owner without live records (a fresh placement), its + // edges strictly ascending: each touched edge's delta is the draft's own amount, touched in the draft's order, // so the checks below run on the draft itself, in the general path's order and with its // messages (negative amounts first, then feasibility edge by edge); the staging and the // publication are the general path's for one new record. @@ -384,12 +436,17 @@ std::vector LedgerAccess::commit_drafts(FlowLedger& fg, std::int64_t own : "ledger: a commit must carry every live record of its policy"); } - // 1. The new aggregate on every touched edge (old owner allocation out, new drafts in), - // checked before anything changes. - DeltaScratch delta(fg.allocated_.size()); + // 1. The new aggregates on every touched edge (old owner allocation and holds out, new drafts + // in), checked before anything changes: carried loads against the service baseline, then holds + // against the reservation baseline (each below 2^62, so a sum of two stays below 2^63). Holds are + // gathered only when some record has one. + DeltaScratch<0> delta(fg.allocated_.size()); + bool holds = false; if (num_current != 0) { for (std::int64_t id : owned->second) { - for (const auto& [e, x] : fg.records_.at(id).edges) delta.add(e, -x); + const FlowRecord& r = fg.records_.at(id); + for (const auto& [e, x] : r.edges) delta.add(e, -x); + holds = holds || !r.reserved_edges.empty(); } } bool negative = false; @@ -399,6 +456,7 @@ std::vector LedgerAccess::commit_drafts(FlowLedger& fg, std::int64_t own negative = negative || x < 0; delta.add(e, x); } + holds = holds || !r.reserved_edges.empty(); } if (negative) throw std::logic_error("ledger: a negative allocation in a commit"); for (EdgeId e : delta.touched()) { @@ -409,9 +467,36 @@ std::vector LedgerAccess::commit_drafts(FlowLedger& fg, std::int64_t own " of " + std::to_string(fg.baseline_[ei]) + ")"); } } + std::optional> held; + if (holds) { + held.emplace(fg.allocated_.size()); + if (num_current != 0) { + for (std::int64_t id : owned->second) { + for (const auto& [e, x] : fg.records_.at(id).reserved_edges) held->add(e, -x); + } + } + bool negative_hold = false; + for (const auto& d : drafts) { + for (const auto& [e, x] : d.record.reserved_edges) { + negative_hold = negative_hold || x < 0; + held->add(e, x); + } + } + if (negative_hold) throw std::logic_error("ledger: a negative hold in a commit"); + for (EdgeId e : held->touched()) { + const auto ei = static_cast(e); + const Amount next = fg.reserved_at(ei) + held->at(e); + if (next < 0 || next > fg.reservation_at(ei)) { + throw std::logic_error("ledger: infeasible reservation on edge " + std::to_string(e) + " (" + + std::to_string(next) + " of " + std::to_string(fg.reservation_at(ei)) + ")"); + } + } + } - // 2. Every allocation of the publication, staged: the records (new ones as map nodes), the - // owner's index node, the returned ids and the next id. A throw here changes nothing. + // 2. Every allocation of the publication, staged: the holds' storage on the first hold (all + // zero, as the empty storage reads), the records (new ones as map nodes), the owner's index node, + // the returned ids and the next id. A throw here changes nothing. + if (held.has_value() && fg.reserved_.empty()) fg.reserved_.assign(fg.allocated_.size(), 0); std::vector created; created.reserve(num_new); std::vector live; // the owner's new index, when it gains ids @@ -448,6 +533,9 @@ std::vector LedgerAccess::commit_drafts(FlowLedger& fg, std::int64_t own // 3. Publication: nothing below allocates or throws (map nodes are spliced, not copied). for (EdgeId e : delta.touched()) fg.allocated_[static_cast(e)] += delta.at(e); + if (held.has_value()) { + for (EdgeId e : held->touched()) fg.reserved_[static_cast(e)] += held->at(e); + } for (std::size_t i = 0; i < targets.size(); ++i) targets[i]->second = std::move(updated[i]); for (const auto& it : retired) fg.records_.erase(it); fg.records_.merge(fresh); @@ -486,6 +574,23 @@ std::span LedgerAccess::allocated(const FlowLedger& fg) { return fg.allocated_; } +std::span LedgerAccess::reservation_baseline(const FlowLedger& fg) { + fg.check_usable(); + if (fg.reservation_baseline_.empty()) return fg.graph_->capacity_units(); + return fg.reservation_baseline_; +} + +std::span LedgerAccess::reserved(const FlowLedger& fg) { + fg.check_usable(); + return fg.reserved_; +} + +std::vector& LedgerAccess::reserved_storage(FlowLedger& fg) { + fg.check_usable(); + if (fg.reserved_.empty()) fg.reserved_.assign(fg.allocated_.size(), 0); + return fg.reserved_; +} + std::int64_t LedgerAccess::next_flow_id(const FlowLedger& fg) { fg.check_usable(); return fg.next_id_; diff --git a/src/flow_policy.cpp b/src/flow_policy.cpp index e68e8b7..a24ebf1 100644 --- a/src/flow_policy.cpp +++ b/src/flow_policy.cpp @@ -25,19 +25,18 @@ record is the sum of its paths. * Pinned (place_pinned): forwarding its program as the policy's view replays it under its mask with its black holes, through the forwarding engine (forwarding.hpp), one record per program - entry; forward() (forward_installed) forwards a computing model's installed program the same - way, with records per roster source. - * CapacityAware (place_flows) visits the roster in ascending NodeId. Round robin gives each - source an equal integer share of the cumulative request, with leftover units going to earlier - sources. Offer each source the increase in its share, then run stages 1 creation, 2 - reoptimisation, 3 amounts and 4 growth on shared unused capacity W (the working residual). One - `created` counter covers the call. It has no program. + entry (forward_entries); forward() (forward_installed) forwards a computing model's installed + program the same way, with records per roster source. + * T1 (place_t1): replace and evaluate set up the tunnels (tunnels_t1.cpp) on the unreserved view + with the policy's own holds released, build the program of 8.1 and forward it like a Pinned + program, one record per entry, each up tunnel's record holding its request on its path; + forward() forwards the installed program the same way and keeps the holds. Work on copies and publish all changes together; an exception leaves ledger and policy intact. Store only changes to ledger residual in per-thread slots. Unrestricted Global reads a dense residual and solves over every edge (its view and flows per EdgeId); the other controllers - gather their view over their support and keep their flows aligned with it. CapacityAware reads a - dense residual copy; CostOnly preparation reads the working residual edge by edge. + gather their view over their support and keep their flows aligned with it. T1's setup reads a + dense unreserved view; CostOnly preparation reads the working residual edge by edge. The transaction trace (the call's intermediate values, keyed as the tests' model of the policy keys them) exists in a build with the private hooks only: every @@ -66,18 +65,12 @@ #include "netgraph/core/detail/program_data.hpp" #include "netgraph/core/detail/trace.hpp" #include "netgraph/core/detail/traversal.hpp" +#include "netgraph/core/detail/tunnels.hpp" namespace netgraph::core { namespace detail { -#if NETGRAPH_CORE_PRIVATE_HOOKS -std::atomic& max_flows_per_call() noexcept { - static std::atomic cap {kMaxFlowsPerCall}; - return cap; -} -#endif - namespace { // ================================================================ working residual @@ -134,17 +127,6 @@ class Working { for (const auto& [e, x] : r->edges) add(e, x); } } - // W += a (release) or W -= a (consume) over member-aligned amounts. - void release(std::span members, std::span a) noexcept { - for (std::size_t m = 0; m < members.size(); ++m) { - if (a[m] != 0) add(members[m], a[m]); - } - } - void consume(std::span members, std::span a) noexcept { - for (std::size_t m = 0; m < members.size(); ++m) { - if (a[m] != 0) add(members[m], -a[m]); - } - } private: struct Slot { @@ -168,6 +150,10 @@ class Working { [[noreturn]] void invalid(const std::string& what) { throw std::invalid_argument(what); } +// The tunnel count per head and the tunnels of one program (H x N, int32 entry indices). +constexpr std::int64_t kMaxTunnelCount = 10000; +constexpr std::int64_t kMaxTunnels = (std::int64_t {1} << 30) - 1; + // The policy's routing mode (the tag of the Routing variant). template bool is(const PolicyEngine& pe) noexcept { @@ -176,33 +162,6 @@ bool is(const PolicyEngine& pe) noexcept { std::string str(std::int64_t v) { return std::to_string(v); } -const char* outcome_name(Termination t) noexcept { - switch (t) { - case Termination::Complete: return "complete"; - case Termination::LimitFlows: return "limit_flows"; - case Termination::LimitDiminishing: return "limit_diminishing"; - case Termination::NoRoute: return "no_route"; - case Termination::Exhausted: return "exhausted"; - case Termination::NoActiveWeight: return "no_active_weight"; - } - return "?"; -} - -// The reduction rank of the call's termination (higher wins among unserved sources). -int rank(Termination t) noexcept { - switch (t) { - case Termination::LimitFlows: return 4; - case Termination::LimitDiminishing: return 3; - case Termination::Exhausted: return 2; - case Termination::NoRoute: return 1; - case Termination::Complete: - case Termination::NoActiveWeight: return 0; // not an outcome of the reduction - } - return 0; -} - -Trace amount_or_inf(std::optional v) { return v.has_value() ? Trace::integer(*v) : Trace::str("inf"); } - // The member-aligned amounts of a record's (EdgeId, amount) pairs (both ascending). template void align(std::span members, const std::vector>& pairs, std::vector& out) { @@ -232,52 +191,11 @@ void cumulative_offers(const Counter128& requested, Amount v, std::size_t k, Off for (std::size_t i = 0; i < k; ++i) offer(i, base + (i < extra ? 1 : 0) - (i < r ? 1 : 0)); } -// ================================================================ working flows - -struct WorkFlow { - std::int64_t id {-1}; // -1: created in this call - NodeId src {0}; - std::shared_ptr plan {}; - std::shared_ptr bundle {}; - Cost cost {kUnreachable}; - Amount T {0}; // Lossless: the cumulative amount (= delivered) - std::vector alloc {}; // member-aligned with plan->members (cumulative carried for Lossy) - std::optional offered {}; // Lossy - Amount delivered {0}; // Lossy (Lossless: T) - std::vector drops {}; // Lossy, member-aligned, cumulative - std::int64_t seq {0}; // creation order within the call (new flows) - [[nodiscard]] bool is_new() const noexcept { return id < 0; } - [[nodiscard]] std::span members() const noexcept { return plan->members; } -}; - -struct SourceRun { - std::size_t ri {0}; - NodeId src {0}; - std::optional offer {}; // nullopt: +inf - Amount P {0}; - std::optional B {}; - Amount T_entry {0}; - std::vector flows {}; - bool capped {false}; - std::optional limit {}; - std::vector gains {}; - Amount injected {0}; - Trace* tr {nullptr}; // this source's trace map -}; - +// A CostOnly preparation's inputs: the policy, its graph and the call's working residual. struct Call { const PolicyEngine& pe; const Graph& g; Working& W; - std::int64_t cap {kMaxFlowsPerCall}; - std::int64_t created {0}; - bool routes_changed {false}; - bool weights_changed {false}; - std::int64_t seq {0}; - std::vector> drops {}; - Amount offered {0}; // Lossy: this call's offers (the first-hop injection of +inf) - Amount source_loss {0}; // Lossy: this call's shares of flows without a member - Trace* trace {nullptr}; }; // ================================================================ routes and plans @@ -287,27 +205,6 @@ struct Route { Cost cost {kUnreachable}; }; -// A CapacityAware flow's plan on its route (the record's bundle) with its membership captured on -// the creation view (Weighted with priority Residual: `dense_view` when the search read one, else -// the working residual W); with `cost`, the route's minimum walk cost. -std::shared_ptr plan_on(const Call& c, NodeId src, const PredDAG& route, - const std::vector* dense_view, Cost* cost) { - const auto& pe = c.pe; - std::vector creation; - // CapacityAware's Weighted weights come from its selection's priority (Capacity or Residual). - WeightSource weights {WeightBasis::Capacity, {}}; - if (*pe.config.placement == FlowPlacement::Weighted && pe.selection.priority == EdgePriority::Residual) { - const auto edges = PredDAGBuilder::ascending(route); - creation.resize(edges.size()); - for (std::size_t i = 0; i < edges.size(); ++i) { - creation[i] = dense_view != nullptr ? (*dense_view)[static_cast(edges[i])] : c.W.at(edges[i]); - } - weights = WeightSource {WeightBasis::ResidualSnapshot, creation}; - } - return std::make_shared(make_plan(c.g, *pe.config.placement, pe.config.admission, weights, src, - pe.dests_ok, route, cost)); -} - // The priority values of the creation view W, as the selection reads them (CostOnly). The // PriorityFn of `on_w` points at this view: it must outlive every call through that PriorityFn. struct WorkingPriority { @@ -341,7 +238,7 @@ Route cost_only_route(const Call& c, NodeId src) { auto r = support_route(g, PredDAGBuilder::ascending(*pe.support), src, pe.dests_ok, sel, view.on_w()); Route out; out.edges = std::move(r.edges); - if (!sel.multipath && !out.edges.empty()) out.cost = r.cost; + if (sel.single_path() && !out.edges.empty()) out.cost = r.cost; return out; } @@ -362,156 +259,26 @@ std::optional creation_products(const Call& c, NodeId src) { pe.config.admission, cost_only_weights(pe)); } -// CapacityAware: the canonical route on the selection view `view` (dense): static -// eligibility, residual >= max(1, min_flow_bandwidth), Collapse on the view, the tight DAG or the -// staged single path toward the allowed destinations, then the max_path_cost ceiling. -std::optional search(const Call& c, std::size_t ri, std::span view) { - const auto& pe = c.pe; - const auto& g = c.g; - const auto& ca = std::get(pe.config.routing); - const auto& sel = pe.selection; - const Gate gate {pe.elig, view, std::max(1, ca.min_flow_bandwidth)}; - auto found = route_search(g, gate, sel, pe.roster[ri], pe.dests_ok); - if (!found.has_value()) return std::nullopt; - Route out; - out.edges = std::move(found->edges); - out.cost = found->cost; - if (ca.max_path_cost.has_value()) { - if (const auto* a = std::get_if(&*ca.max_path_cost)) { - if (out.cost > a->cost) return std::nullopt; - } else { - // The roster holds the sources with a static route, so the baseline is a positive cost. - if (!stretch_le(out.cost, pe.baseline[ri], std::get(*ca.max_path_cost).factor)) return std::nullopt; - } - } - return out; -} - -// ================================================================ amounts of one flow - -// T_max of a flow on a member-aligned view (the trace's bounds): MaxFlow's uncapped step from 0, -// else the exact search. -Amount flow_t_max(const Graph& g, const KernelPlan& plan, std::span view_m) { - if (plan.members.empty()) return 0; - if (plan.placement == FlowPlacement::MaxFlow) return lossless_step(g, plan, 0, view_m, {}, std::nullopt).total; - return t_max(plan, view_m).value; -} - -// ================================================================ the cohort (EqualBalanced) - -// Split T by round robin over the source's EqualBalanced flows in their order. Allocate each -// share using that flow's plan, then sum edge amounts across the union of their members. -class CohortEval { -public: - CohortEval(const std::vector& plans, const Working& W) : plans_(plans) { - for (const auto* p : plans_) uni_.insert(uni_.end(), p->members.begin(), p->members.end()); - std::sort(uni_.begin(), uni_.end()); - uni_.erase(std::unique(uni_.begin(), uni_.end()), uni_.end()); - idx_.resize(plans_.size()); - for (std::size_t i = 0; i < plans_.size(); ++i) { - idx_[i].resize(plans_[i]->members.size()); - for (std::size_t m = 0; m < plans_[i]->members.size(); ++m) { - idx_[i][m] = static_cast(std::lower_bound(uni_.begin(), uni_.end(), plans_[i]->members[m]) - - uni_.begin()); - } - } - W.gather(uni_, view_); - acc_.assign(uni_.size(), 0); - // The search's upper bound: the view summed over the source members of every flow (each - // plan has the one root, the source). - std::vector src_member(uni_.size(), 0); - for (std::size_t i = 0; i < plans_.size(); ++i) { - const auto p = plans_[i]->root_pos.front(); - if (p < 0) continue; - for (auto k = plans_[i]->out_begin[static_cast(p)]; k < plans_[i]->out_end[static_cast(p)]; ++k) { - src_member[static_cast(idx_[i][static_cast(k)])] = 1; - } - } - for (std::size_t u = 0; u < uni_.size(); ++u) { - if (src_member[u] != 0) hi_ += view_[u]; - } - } - [[nodiscard]] Amount upper() const noexcept { return hi_; } - - // Whether the cohort allocation at total T fits the view. - bool fits(Amount T) { - std::fill(acc_.begin(), acc_.end(), 0); - const auto k = plans_.size(); - std::vector parts(k); - round_robin(T, parts); - for (std::size_t i = 0; i < k; ++i) { - if (parts[i] == 0) continue; - tmp_.resize(plans_[i]->members.size()); - allocate(*plans_[i], parts[i], tmp_); - for (std::size_t m = 0; m < tmp_.size(); ++m) { - const auto u = static_cast(idx_[i][m]); - acc_[u] += tmp_[m]; - if (acc_[u] > view_[u]) return false; - } - } - return true; - } - // The largest T in [lo, hi] that fits, given fits(lo) (bisection, exact; at most 62 probes). - Amount largest(Amount lo, Amount hi) { - while (lo < hi) { - const Amount mid = lo + (hi - lo + 1) / 2; - if (fits(mid)) { - lo = mid; - } else { - hi = mid - 1; - } - } - return lo; - } - // The full T_max (the trace's `bound`). - Amount t_max() { return largest(0, hi_); } - -private: - const std::vector& plans_; - std::vector uni_ {}; - std::vector> idx_ {}; - std::vector view_ {}; - std::vector acc_ {}; - std::vector tmp_ {}; - Amount hi_ {0}; -}; +// ---------------------------------------------------------------- outputs -// Splits T over the cohort by round robin; a flow whose share changed (or is new) gets the -// allocation of its new share (the amounts stage of EqualBalanced). -void set_cohort(std::vector& flows, Amount T) { - std::vector parts(flows.size()); - round_robin(T, parts); - for (std::size_t i = 0; i < flows.size(); ++i) { - auto& f = flows[i]; - if (parts[i] != f.T || f.is_new()) { - std::vector a(f.plan->members.size()); - allocate(*f.plan, parts[i], a); - f.alloc = std::move(a); +// The optional outputs of a call whose policy records become `after`, computed before the commit +// (so nothing allocates once the ledger changed): edge_flows = the policy's own allocation after +// the call, residual = the ledger's after it (now + own before - own after), bottleneck on that +// residual, reservation_edge_flows = the policy's own holds after the call. +void prepare_outputs(const PolicyEngine& pe, const OutputOptions& outputs, std::span after, + PlacementResult& out) { + const auto m = static_cast(pe.graph->num_edges()); + if (outputs.reservation_edge_flows) { + std::vector held(m, 0); + for (const FlowRecord* r : after) { + for (const auto& [e, x] : r->reserved_edges) held[static_cast(e)] += x; } - f.T = parts[i]; + out.reservation_edge_flows = std::move(held); } -} - -std::vector plans_of(const std::vector& flows) { - std::vector out; - out.reserve(flows.size() + 1); - for (const auto& f : flows) out.push_back(f.plan.get()); - return out; -} - -// ---------------------------------------------------------------- outputs - -// The optional outputs of a call whose policy allocation becomes `after` (the records' edge -// lists), computed before the commit (so nothing allocates once the ledger changed): -// edge_flows = the policy's own allocation after the call, residual = the ledger's after it -// (now + own before - own after), bottleneck on that residual. -void prepare_outputs(const PolicyEngine& pe, const OutputOptions& outputs, - const std::vector>*>& after, PlacementResult& out) { if (!outputs.edge_flows && !outputs.residual && !outputs.bottleneck) return; - const auto m = static_cast(pe.graph->num_edges()); std::vector own(m, 0); - for (const auto* edges : after) { - for (const auto& [e, x] : *edges) own[static_cast(e)] += x; + for (const FlowRecord* r : after) { + for (const auto& [e, x] : r->edges) own[static_cast(e)] += x; } if (outputs.residual || outputs.bottleneck) { std::vector res; @@ -528,24 +295,8 @@ void prepare_outputs(const PolicyEngine& pe, const OutputOptions& outputs, if (outputs.edge_flows) out.edge_flows = std::move(own); } -// The current records' edge lists (a call that commits nothing). -std::vector>*> current_edges(const PolicyEngine& pe) { - std::vector>*> out; - for (const auto& cohort : pe.epoch.cohorts) { - for (const auto& s : cohort) out.push_back(&LedgerAccess::live(pe.fg, s.id).edges); - } - return out; -} - bool any_output(const OutputOptions& outputs) noexcept { - return outputs.edge_flows || outputs.residual || outputs.bottleneck; -} - -std::vector>*> draft_edges(const std::vector& drafts) { - std::vector>*> out; - out.reserve(drafts.size()); - for (const auto& d : drafts) out.push_back(&d.record.edges); - return out; + return outputs.edge_flows || outputs.residual || outputs.bottleneck || outputs.reservation_edge_flows; } // ---------------------------------------------------------------- the demand's state @@ -680,508 +431,6 @@ bool dense_global(const PolicyEngine& pe) noexcept { Trace route_trace(std::span edges) { return Trace::ints(edges); } -Trace alloc_trace(const WorkFlow& f) { - Trace t = Trace::list(); - const auto members = f.members(); - for (std::size_t m = 0; m < members.size(); ++m) { - if (f.alloc[m] == 0) continue; - Trace p = Trace::list(); - p.push(Trace::integer(members[m])); - p.push(Trace::integer(f.alloc[m])); - t.push(std::move(p)); - } - return t; -} - -// A new working flow on `bundle` (its record's bundle) with the route's cost (kUnreachable: -// computed with the plan) and its plan captured on the creation view, unless the route's static -// plan is given. -WorkFlow new_flow(Call& c, NodeId src, std::shared_ptr bundle, Cost cost, - const std::vector* dense_view, std::shared_ptr plan = nullptr) { - WorkFlow f; - f.src = src; - f.bundle = std::move(bundle); - f.cost = cost; - f.plan = plan ? std::move(plan) : plan_on(c, src, *f.bundle, dense_view, cost == kUnreachable ? &f.cost : nullptr); - f.alloc.assign(f.plan->members.size(), 0); - if (c.pe.config.admission == Admission::Lossy) { - f.offered = Counter128 {}; - f.drops.assign(f.plan->members.size(), Counter128 {}); - } - return f; -} - -// ---------------------------------------------------------------- stage 1: creation - -void stage1(Call& c, SourceRun& st) { - const auto& pe = c.pe; - Trace tr = Trace::map(); - { - const auto& ca = std::get(pe.config.routing); - std::vector S; - c.W.dense(S); - std::optional rem = st.offer; - std::optional target; - if (*pe.config.placement == FlowPlacement::EqualBalanced && st.offer.has_value()) { - target = (st.P + *st.offer) / ca.flow_count; - } - Trace reservations = Trace::list(); - const std::int64_t budget = std::min(ca.flow_count, std::max(0, c.cap - c.created)); - bool stopped = false; - std::vector view_m; - std::vector zeros; - for (std::int64_t i = 0; i < budget; ++i) { - auto route = search(c, st.ri, S); - if (!route.has_value()) { - stopped = true; - break; - } - WorkFlow f = new_flow(c, st.src, bundle_of(c.g, route->edges, nullptr), route->cost, &S); - const auto members = f.members(); - view_m.resize(members.size()); - for (std::size_t m = 0; m < members.size(); ++m) view_m[m] = S[static_cast(members[m])]; - zeros.assign(members.size(), 0); - std::optional request = *pe.config.placement == FlowPlacement::EqualBalanced ? target : rem; - auto step = lossless_step(c.g, *f.plan, 0, view_m, zeros, request); - const Amount t = step.total; - if (*pe.config.placement != FlowPlacement::EqualBalanced && rem.has_value()) *rem -= t; - if (kTraced && c.trace) { - Trace row = Trace::map(); - row.set("route", route_trace(route->edges)); - row.set("S", Trace::ints(S)); - row.set("T_bound", Trace::integer(flow_t_max(c.g, *f.plan, view_m))); - row.set("reserved", Trace::integer(t)); - reservations.push(std::move(row)); - } - for (std::size_t m = 0; m < members.size(); ++m) S[static_cast(members[m])] -= step.alloc[m]; - f.seq = ++c.seq; - st.flows.push_back(std::move(f)); - ++c.created; - } - st.capped = budget < ca.flow_count && !stopped; - if (kTraced && c.trace) { - tr.set("eb_target", target.has_value() ? Trace::integer(*target) : Trace::null()); - tr.set("reservations", std::move(reservations)); - tr.set("created_cap_blocked", Trace::boolean(st.capped)); - } - } - if (!st.flows.empty()) c.routes_changed = true; - if (kTraced && st.tr) st.tr->set("stage1", std::move(tr)); -} - -// ---------------------------------------------------------------- stage 2: reoptimisation - -void stage2(Call& c, SourceRun& st) { - Trace rows = Trace::list(); - std::vector Wi; - std::vector view_m; - std::vector zeros; - for (auto& f : st.flows) { - if (f.is_new()) continue; - c.W.dense(Wi); - const auto members = f.members(); - for (std::size_t m = 0; m < members.size(); ++m) Wi[static_cast(members[m])] += f.alloc[m]; - auto cand = search(c, st.ri, Wi); - Trace row = Trace::map(); - if (kTraced && c.trace) { - row.set("flow", Trace::ints(std::vector {static_cast(c.pe.fg.uid()), f.id})); - row.set("T", Trace::integer(f.T)); - row.set("candidate", cand.has_value() ? route_trace(cand->edges) : Trace::null()); - } - if (!cand.has_value() || cand->edges == f.plan->route) { - if (kTraced && c.trace) { - row.set("decision", Trace::str("kept")); - rows.push(std::move(row)); - } - continue; - } - WorkFlow trial = new_flow(c, st.src, bundle_of(c.g, cand->edges, nullptr), cand->cost, &Wi); - const auto tm = trial.members(); - view_m.resize(tm.size()); - for (std::size_t m = 0; m < tm.size(); ++m) view_m[m] = Wi[static_cast(tm[m])]; - zeros.assign(tm.size(), 0); - // The candidate's allocation at T_i (adopted iff it delivers T_i exactly). - auto step = lossless_step(c.g, *trial.plan, 0, view_m, zeros, f.T); - if (step.total < f.T) { - if (kTraced && c.trace) { - row.set("decision", Trace::str("rejected: delivers less than T_i")); - row.set("bound", Trace::integer(flow_t_max(c.g, *trial.plan, view_m))); - rows.push(std::move(row)); - } - continue; - } - // Adopted: a replacement at T_i; W := W_i - alloc_c. - c.W.release(members, f.alloc); - trial.alloc = std::move(step.alloc); - c.W.consume(tm, trial.alloc); - f.plan = std::move(trial.plan); - f.bundle = std::move(trial.bundle); - f.cost = trial.cost; - f.alloc = std::move(trial.alloc); - c.routes_changed = true; - if (*c.pe.config.placement == FlowPlacement::Weighted) c.weights_changed = true; - if (kTraced && c.trace) { - row.set("decision", Trace::str("adopted")); - row.set("alloc", alloc_trace(f)); - rows.push(std::move(row)); - } - } - if (kTraced && st.tr) st.tr->set("stage2", std::move(rows)); -} - -// ---------------------------------------------------------------- stage 3: amounts - -// The member-aligned view of stage 3, per thread: every use gathers it whole first, and no use -// nests another, so its contents never outlive one flow's step. -std::vector& view_scratch() { - thread_local std::vector v; - return v; -} - -void stage3_seq(Call& c, SourceRun& st) { - Trace rows = Trace::list(); - std::vector& view_m = view_scratch(); - for (auto& f : st.flows) { - const auto members = f.members(); - c.W.release(members, f.alloc); // V = W + own - c.W.gather(members, view_m); - const Amount T0 = f.T; - auto step = lossless_step(c.g, *f.plan, f.T, view_m, f.alloc, st.B); - f.T = step.total; - f.alloc = std::move(step.alloc); - c.W.consume(members, f.alloc); // W = V - alloc - if (st.B.has_value()) *st.B -= f.T - T0; - if (kTraced && c.trace) { - Trace row = Trace::map(); - row.set("T", Trace::ints(std::vector {T0, f.T})); - row.set("curve", f.plan->placement == FlowPlacement::MaxFlow ? Trace::pairs(step.cost_distribution) : Trace::null()); - row.set("alloc", alloc_trace(f)); - rows.push(std::move(row)); - } - } - if (kTraced && st.tr) st.tr->set("stage3", std::move(rows)); -} - -void stage3_eb(Call& c, SourceRun& st) { - auto& flows = st.flows; - Amount T = 0; - for (const auto& f : flows) T += f.T; - for (const auto& f : flows) c.W.release(f.members(), f.alloc); // V = W + cohort allocation - Amount t_new = T; - std::optional bound; - if (flows.size() == 1) { - auto& f = flows.front(); - std::vector& view_m = view_scratch(); - c.W.gather(f.members(), view_m); - auto step = lossless_step(c.g, *f.plan, f.T, view_m, f.alloc, st.B); - t_new = step.total; - f.alloc = std::move(step.alloc); - f.T = t_new; - if (kTraced && c.trace) bound = flow_t_max(c.g, *f.plan, view_m); - } else { - const auto plans = plans_of(flows); - CohortEval cohort(plans, c.W); - const Amount target = st.B.has_value() ? T + *st.B : cohort.upper(); - if (target > T) { - t_new = cohort.fits(target) ? target : cohort.largest(T, target - 1); - } - if (kTraced && c.trace) bound = cohort.t_max(); - set_cohort(flows, t_new); - } - for (const auto& f : flows) c.W.consume(f.members(), f.alloc); - if (st.B.has_value()) *st.B -= t_new - T; - if (kTraced && st.tr) { - Trace row = Trace::map(); - row.set("T", Trace::ints(std::vector {T, t_new})); - row.set("bound", bound.has_value() ? Trace::integer(*bound) : Trace::null()); - Trace shares = Trace::list(); - for (const auto& f : flows) shares.push(Trace::integer(f.T)); - row.set("shares", std::move(shares)); - st.tr->set("stage3", std::move(row)); - } -} - -// ---------------------------------------------------------------- stage 4: growth - -// fraction * v as the reduced rational "num/den" (or "num"): the exact text the transaction trace -// records for the diminishing guard's threshold. -std::string fraction_text(double fraction, Amount v) { - const auto [m, x] = dyadic(fraction); - U128 num = mul_u64(m, static_cast(v)); - int k = -x; // den = 2^k - while (k > 0 && (num.lo & 1U) == 0 && !(num == U128 {0, 0})) { - num = U128 {num.hi >> 1, (num.lo >> 1) | (num.hi << 63)}; - --k; - } - if (num == U128 {0, 0}) return "0"; - auto dec = [](U128 n) { - std::string out; - while (!(n == U128 {0, 0})) { - const std::uint64_t hi_q = n.hi / 10; - const std::uint64_t hi_r = n.hi % 10; - const std::uint64_t lo_q = div_u128(U128 {hi_r, n.lo}, 10); - const std::uint64_t lo_r = n.lo - lo_q * 10; // the remainder of (hi_r * 2^64 + lo) / 10 - out.push_back(static_cast('0' + lo_r)); - n = U128 {hi_q, lo_q}; - } - std::reverse(out.begin(), out.end()); - return out; - }; - if (k == 0) return dec(num); - if (k <= 126) return dec(num) + "/" + dec(k >= 64 ? U128 {std::uint64_t {1} << (k - 64), 0} : U128 {0, std::uint64_t {1} << k}); - return dec(num) + "/2**" + std::to_string(k); -} - -// Compare gains.sum < fraction * v exactly, reading fraction as its exact stored double value; -// v < 2^62. -bool below_fraction(Amount recent, double fraction, Amount v) { - const auto [m, x] = dyadic(fraction); // x < 0 since fraction < 1 - const U128 rhs = mul_u64(m, static_cast(v)); // below 2^115 - // recent < rhs * 2^x <=> recent * 2^-x < rhs; with -x large the left side exceeds 2^128 - // unless recent is 0. - if (recent == 0) return !(rhs == U128 {0, 0}); - const U128 r {0, static_cast(recent)}; - if (bits(r) - x > 127) return false; - return shl(r, -x) < rhs; -} - -void stage4(Call& c, SourceRun& st) { - const auto& pe = c.pe; - const auto& ca = std::get(pe.config.routing); - const auto v = st.offer; - Trace steps = Trace::list(); - std::int32_t accepted = 0; - std::vector Wd; - std::vector view_m; - std::vector zeros; - auto stop = [&](const char* why) { - if (kTraced && c.trace) { - Trace s = Trace::map(); - s.set("stop", Trace::str(why)); - steps.push(std::move(s)); - } - }; - while (!st.B.has_value() || *st.B > 0) { - if (c.created >= c.cap) { - st.limit = Termination::LimitFlows; - stop("kMaxFlowsPerCall"); - break; - } - if (ca.max_flow_count.has_value() && static_cast(st.flows.size()) >= *ca.max_flow_count) { - if (*ca.max_flow_count > ca.flow_count) st.limit = Termination::LimitFlows; - if (kTraced && c.trace) { - Trace s = Trace::map(); - s.set("stop", Trace::str("max_flow_count")); - s.set("k", Trace::integer(static_cast(st.flows.size()))); - steps.push(std::move(s)); - } - break; - } - c.W.dense(Wd); - auto cand = search(c, st.ri, Wd); - if (!cand.has_value()) { - stop("no candidate"); - break; - } - if (pe.selection.multipath) { - // A multipath DAG already spans every equal-cost path, so a second - // flow on a structurally equal DAG gains only round-robin remainders: growth stops. A - // repeated single path is a legitimate tunnel. - bool equal = false; - for (const auto& f : st.flows) equal = equal || f.plan->route == cand->edges; - if (equal) { - if (kTraced && c.trace) { - Trace s = Trace::map(); - s.set("stop", Trace::str("candidate equals a cohort route")); - s.set("route", route_trace(cand->edges)); - steps.push(std::move(s)); - } - break; - } - } - WorkFlow f = new_flow(c, st.src, bundle_of(c.g, cand->edges, nullptr), cand->cost, &Wd); - Trace step = Trace::map(); - if (kTraced && c.trace) { - step.set("route", route_trace(cand->edges)); - step.set("W", Trace::ints(Wd)); - } - Amount gain = 0; - if (*pe.config.placement == FlowPlacement::EqualBalanced) { - Amount T = 0; - for (const auto& x : st.flows) T += x.T; - for (const auto& x : st.flows) c.W.release(x.members(), x.alloc); // V = W + cohort allocation - auto plans = plans_of(st.flows); - plans.push_back(f.plan.get()); - CohortEval trial(plans, c.W); - const Amount target = v.has_value() ? st.T_entry + *v : trial.upper(); - Amount t_cand = T; // rejected unless the trial cohort carries more than T - if (target > T && trial.fits(T + 1)) { - t_cand = trial.fits(target) ? target : trial.largest(T + 1, target - 1); - } - if (kTraced && c.trace) { - const Amount bound = trial.t_max(); - step.set("T", Trace::integer(T)); - step.set("T_candidate", Trace::integer(v.has_value() ? std::min(st.T_entry + *v, bound) : bound)); - step.set("bound", Trace::integer(bound)); - } - if (t_cand <= T) { - for (const auto& x : st.flows) c.W.consume(x.members(), x.alloc); // W restored - if (kTraced && c.trace) { - step.set("decision", Trace::str("rejected: cohort total not larger")); - steps.push(std::move(step)); - } - break; - } - f.seq = ++c.seq; - st.flows.push_back(std::move(f)); - set_cohort(st.flows, t_cand); - for (const auto& x : st.flows) c.W.consume(x.members(), x.alloc); - gain = t_cand - T; - if (kTraced && c.trace) { - Trace shares = Trace::list(); - for (const auto& x : st.flows) shares.push(Trace::integer(x.T)); - step.set("shares", std::move(shares)); - } - } else { - const auto members = f.members(); - c.W.gather(members, view_m); - zeros.assign(members.size(), 0); - auto fill = lossless_step(c.g, *f.plan, 0, view_m, zeros, st.B); - if (kTraced && c.trace) { - step.set("bound", Trace::integer(flow_t_max(c.g, *f.plan, view_m))); - step.set("fill", Trace::integer(fill.total)); - } - if (fill.total == 0) { - if (kTraced && c.trace) { - step.set("decision", Trace::str("rejected: zero fill")); - steps.push(std::move(step)); - } - break; - } - f.T = fill.total; - f.alloc = std::move(fill.alloc); - c.W.consume(members, f.alloc); - f.seq = ++c.seq; - gain = f.T; - st.flows.push_back(std::move(f)); - } - ++c.created; - c.routes_changed = true; - ++accepted; - st.gains.push_back(gain); - if (st.B.has_value()) *st.B -= gain; - if (kTraced && c.trace) { - step.set("decision", Trace::str("accepted")); - step.set("gain", Trace::integer(gain)); - steps.push(std::move(step)); - } - if (ca.diminishing.has_value() && v.has_value() && accepted >= ca.diminishing->window) { - Amount recent = 0; - const auto w = static_cast(ca.diminishing->window); - for (std::size_t i = st.gains.size() - w; i < st.gains.size(); ++i) recent += st.gains[i]; - if (below_fraction(recent, ca.diminishing->fraction, *v) && *st.B > 0) { - st.limit = Termination::LimitDiminishing; - if (kTraced && c.trace) { - Trace s = Trace::map(); - s.set("stop", Trace::str("diminishing")); - s.set("recent", Trace::integer(recent)); - s.set("threshold", Trace::str(fraction_text(ca.diminishing->fraction, *v))); - steps.push(std::move(s)); - } - break; - } - } - } - if (kTraced && st.tr) st.tr->set("stage4", std::move(steps)); -} - -// ---------------------------------------------------------------- per source - -void run_source(Call& c, SourceRun& st) { - const auto& pe = c.pe; - if (st.flows.empty()) stage1(c, st); - if (st.flows.empty()) return; - if (std::get(pe.config.routing).reoptimize) stage2(c, st); - if (*pe.config.placement == FlowPlacement::EqualBalanced) { - stage3_eb(c, st); - } else { - stage3_seq(c, st); - } - stage4(c, st); -} - -// A CapacityAware source's outcome (Lossless; Termination's reduction). -Termination local_outcome(const SourceRun& st) { - Amount after = 0; - for (const auto& f : st.flows) after += f.T; - const Amount delivered = after - st.P; - if (st.offer.has_value() && (*st.offer == 0 || delivered == *st.offer)) return Termination::Complete; - if (st.limit == Termination::LimitFlows || st.capped) return Termination::LimitFlows; - if (st.limit == Termination::LimitDiminishing) return Termination::LimitDiminishing; - if (st.flows.empty()) return Termination::NoRoute; - return Termination::Exhausted; -} - -// The working copy of a live flow: its state and its record's amounts, member-aligned. -WorkFlow working_copy(const PolicyEngine& pe, const LiveFlow& s) { - const FlowRecord& rec = LedgerAccess::live(pe.fg, s.id); - WorkFlow f; - f.id = s.id; - f.src = s.src; - f.plan = s.plan; - f.bundle = s.bundle; - f.cost = s.cost; - align(f.plan->members, rec.edges, f.alloc); - if (pe.config.admission == Admission::Lossy) { - f.offered = rec.offered.value_or(Counter128 {}); - f.delivered = rec.delivered; - align(f.plan->members, rec.drops, f.drops); - } else { - f.T = rec.delivered; - } - return f; -} - -Draft draft_of(const PolicyEngine& pe, const WorkFlow& f) { - Draft d; - if (!f.is_new()) d.id = f.id; - auto& r = d.record; - r.sources = {f.src}; - r.destinations = pe.dests_ok; - r.admission = pe.config.admission; - r.bundle = f.bundle; - r.route_cost = f.cost; - const auto members = f.members(); - // Exactly sized, written by index (the nonzero members in member order). - r.edges.resize(static_cast(std::count_if(f.alloc.begin(), f.alloc.end(), [](Amount x) { return x != 0; }))); - for (std::size_t m = 0, k = 0; m < members.size(); ++m) { - if (f.alloc[m] != 0) r.edges[k++] = {members[m], f.alloc[m]}; - } - if (pe.config.admission == Admission::Lossy) { - r.offered = f.offered; - r.delivered = f.delivered; - r.drops.resize(static_cast( - std::count_if(f.drops.begin(), f.drops.end(), [](const Counter128& x) { return !x.is_zero(); }))); - for (std::size_t m = 0, k = 0; m < members.size(); ++m) { - if (!f.drops[m].is_zero()) r.drops[k++] = {members[m], f.drops[m]}; - } - } else { - r.delivered = f.T; - } - return d; -} - -// The epoch state after the commit is built before it (every allocation), then swapped in. -std::vector> next_cohorts(const std::vector& runs, std::size_t num_roster) { - std::vector> out(num_roster); - for (const auto& st : runs) { - auto& c = out[st.ri]; - c.reserve(st.flows.size()); - for (const auto& f : st.flows) c.push_back(LiveFlow {f.id, f.src, f.plan, f.bundle, f.cost, -1}); - } - return out; -} - std::string key(NodeId v) { return std::to_string(v); } // ================================================================ calls @@ -1192,6 +441,7 @@ enum class Op { Place, Evaluate, Replace, Forward }; struct Request { Op op {Op::Place}; std::optional v {}; // nullopt: +inf + std::optional> design {}; // evaluate and replace: absent, or a design (nullopt: +inf) const Eligibility* dark {nullptr}; // forward's black holes const OutputOptions* outputs {nullptr}; Trace* trace {nullptr}; @@ -1223,112 +473,21 @@ Epoch fresh_epoch(const PolicyEngine& pe, bool keep_program) { e.cohorts.resize(pe.epoch.cohorts.size()); if (keep_program) { e.program = pe.epoch.program; + e.plan = pe.epoch.plan; e.support = pe.epoch.support; } return e; } -// The termination of a forwarding call (Termination's rule after the empty roster). -Termination forwarding_termination(bool active, bool lossy, std::optional v, Amount placed) noexcept { - if (!active) return Termination::NoActiveWeight; +// The termination of a forwarding call (Termination's rule after the empty roster): rule (3) when +// the program has an entry with a path (`has_path`) and no head can use one (`active` false). +Termination forwarding_termination(bool active, bool has_path, bool lossy, std::optional v, + Amount placed) noexcept { + if (has_path && !active) return Termination::NoActiveWeight; if (lossy) return v.has_value() ? Termination::Complete : Termination::Exhausted; return v.has_value() && placed == *v ? Termination::Complete : Termination::Exhausted; } -// ---------------------------------------------------------------- CapacityAware - -Staged place_flows(const PolicyEngine& pe, const Epoch& cur, Working& W, const Request& rq) { - const auto& g = *pe.graph; - const auto v = rq.v; - Trace* trace = rq.trace; - Call c {pe, g, W}; -#if NETGRAPH_CORE_PRIVATE_HOOKS - c.cap = max_flows_per_call().load(std::memory_order_relaxed); -#endif - c.trace = trace; - const std::size_t k = pe.roster.size(); - std::vector runs(k); - if (v.has_value()) cumulative_offers(cur.requested, *v, k, [&](std::size_t i, Amount x) { runs[i].offer = x; }); - Trace sources_tr = Trace::map(); - for (std::size_t i = 0; i < k; ++i) { - auto& st = runs[i]; - st.ri = i; - st.src = pe.roster[i]; - st.B = st.offer; - st.flows.reserve(cur.cohorts[i].size()); - for (const auto& s : cur.cohorts[i]) st.flows.push_back(working_copy(pe, s)); - for (const auto& f : st.flows) { - st.P += f.T; - st.T_entry += f.T; - } - } - for (auto& st : runs) { - Trace* tr = nullptr; - if (kTraced && trace) tr = &sources_tr.set(key(st.src), Trace::map()); - st.tr = tr; - run_source(c, st); - st.tr = nullptr; - } - // The commit: retained flows (by source, FlowId order) then new flows in creation order. - Staged s; - std::vector> fresh; - for (std::size_t i = 0; i < k; ++i) { - for (std::size_t j = 0; j < runs[i].flows.size(); ++j) { - const auto& f = runs[i].flows[j]; - if (f.is_new()) { - fresh.emplace_back(i, j); - } else { - s.drafts.push_back(draft_of(pe, f)); - } - } - } - std::sort(fresh.begin(), fresh.end(), [&](const auto& a, const auto& b) { - return runs[a.first].flows[a.second].seq < runs[b.first].flows[b.second].seq; - }); - for (const auto& [i, j] : fresh) s.drafts.push_back(draft_of(pe, runs[i].flows[j])); - s.fresh = std::move(fresh); - const Counter128 requested = requested_after(cur, v); - Amount placed = 0; - std::vector outcomes; - outcomes.reserve(k); - Termination term = Termination::Complete; - for (const auto& st : runs) { - Amount after = 0; - for (const auto& f : st.flows) after += f.T; - placed += after - st.P; - outcomes.push_back(local_outcome(st)); - if (rank(outcomes.back()) > rank(term)) term = outcomes.back(); - } - PlacementResult& out = s.out; - out.placed = placed; - if (v.has_value()) out.remaining = *v - placed; - out.delivery_delta = placed; - out.termination = term; - out.routes_changed = c.routes_changed; - out.weights_changed = c.weights_changed; - fill_state(pe, draft_records(s.drafts), requested, cur.infinite || !v.has_value(), Counter128 {}, out); - if (kTraced && trace) { - Trace offers_tr = Trace::map(); - Trace outcomes_tr = Trace::map(); - for (std::size_t i = 0; i < k; ++i) { - offers_tr.set(key(runs[i].src), amount_or_inf(runs[i].offer)); - outcomes_tr.set(key(runs[i].src), Trace::str(outcome_name(outcomes[i]))); - } - trace->set("offers", std::move(offers_tr)); - trace->set("local_outcomes", std::move(outcomes_tr)); - trace->set("created", Trace::integer(c.created)); - trace->set("sources", std::move(sources_tr)); - std::vector wf; - W.dense(wf); - trace->set("W_final", Trace::ints(wf)); - } - s.next.cohorts = next_cohorts(runs, k); - s.next.requested = requested; - s.next.prepared = true; - s.next.infinite = cur.infinite || !v.has_value(); - return s; -} - // ---------------------------------------------------------------- the controllers' paths // The flow cut into paths (4.1), source by source in ascending NodeId: while a source has supply @@ -1674,11 +833,14 @@ void source_drafts(const PolicyEngine& pe, const std::vector& flows, S } } -// The programs of a call and the flags they give (10.4). -void set_flags(PlacementResult& out, const ForwardingProgram* before, const ForwardingProgram* after) noexcept { - const auto change = compare_programs(before, after); +// The programs of a call and the flags they give (10.4). Only T1's own setup books holds, so only it +// reports a reservation change; Pinned over a T1 program keeps the imported amounts and books none. +void set_flags(PlacementResult& out, const ForwardingProgram* before, const ForwardingProgram* after, + bool reserves) noexcept { + const auto change = compare_programs(before, after, reserves); out.routes_changed = change.routes; out.weights_changed = change.weights; + out.reservations_changed = change.reservations; } // The by_tunnel rows of a controller's program: every path up, assigned = delivered = its amount. @@ -1697,7 +859,6 @@ Staged place_pooled(const PolicyEngine& pe, const Epoch& cur, Working& W, const const auto v = rq.v; Trace* trace = rq.trace; Call c {pe, g, W}; - c.trace = trace; const std::size_t k = pe.roster.size(); const bool lossy = pe.config.admission == Admission::Lossy; const bool created = cur.cohorts.front().empty(); @@ -1826,7 +987,7 @@ Staged place_pooled(const PolicyEngine& pe, const Epoch& cur, Working& W, const } else { out.termination = v.has_value() && placed == *v ? Termination::Complete : Termination::Exhausted; } - if (created) set_flags(out, before_program, program.get()); + if (created) set_flags(out, before_program, program.get(), false); out.program = program; fill_state(pe, draft_records(drafts), requested, cur.infinite || !v.has_value(), offered, out); if (kTraced && trace) { @@ -2057,7 +1218,7 @@ Staged place_controller(const PolicyEngine& pe, const Epoch& cur, Working& W, co if (v.has_value()) out.remaining = *v - out.placed; out.delivery_delta = out.placed; out.termination = v.has_value() && out.placed == *v ? Termination::Complete : Termination::Exhausted; - set_flags(out, before_program, program.get()); + set_flags(out, before_program, program.get(), false); out.program = program; out.by_tunnel = controller_rows(*program); const auto after = draft_records(s.drafts); @@ -2135,12 +1296,34 @@ FreeFn free_of(const Working& W) { }; } -// Pinned: forwarding its program (place, evaluate, replace), one record per program entry. -Staged place_pinned(const PolicyEngine& pe, const Epoch& cur, Working& W, const Request& rq, - const ForwardingProgram* before_program) { +// Some head of the view can place traffic: a positive injection weight and a surviving entry of +// positive weight whose route has a member. +bool view_active(const ForwardingView& v) { + const auto& p = *v.data; + for (std::size_t h = 0; h < v.num_heads(); ++h) { + if (!v.weights().empty() && v.weights()[h] == 0) continue; + for (const std::int32_t ei : v.head_entries(h)) { + const auto e = static_cast(ei); + const auto& entry = p.entries[e]; + if (entry.weight == 0) continue; + if (entry.tunnel >= 0) return true; + const auto r = v.root_of(e); + if (r >= 0 && v.plan(static_cast(entry.context))->root_pos[static_cast(r)] >= 0) return true; + } + } + return false; +} + +// A program forwarded as `view` sees it, one record per program entry (Pinned: its replay, every +// call; T1: its own program, after setup or installed): place, evaluate, replace and T1's +// forward. `active`: some head can place traffic (view_active). With `holds` (a T1 policy's own +// program), each up tunnel's record holds its request on every edge of its path; `plan` is the +// result's and the epoch's. +Staged forward_entries(const PolicyEngine& pe, const Epoch& cur, Working& W, const Request& rq, + const ForwardingProgram* before_program, const ForwardingView& view, bool active, bool holds, + const std::optional& plan) { const auto& g = *pe.graph; const auto v = rq.v; - const ForwardingView& view = pe.view; const ProgramData& p = *view.data; const std::size_t n = p.entries.size(); const std::size_t k = view.num_heads(); @@ -2197,8 +1380,6 @@ Staged place_pinned(const PolicyEngine& pe, const Epoch& cur, Working& W, const live.bundle = view.bundle(e); live.cost = view.cost(e); live.entry = entry.index; - // A split route's plan (its members and weights as forwarded); a tunnel has none. - if (entry.context >= 0) live.plan = view.plan(static_cast(entry.context)); if (!created) { live.id = cur.cohorts[e].front().id; s.drafts[e].id = live.id; @@ -2213,6 +1394,15 @@ Staged place_pinned(const PolicyEngine& pe, const Epoch& cur, Working& W, const r.bundle = live.bundle; r.route_cost = live.cost; r.entry = entry.index; + if (holds && entry.tunnel >= 0) { + const auto& t = p.tunnels[static_cast(entry.tunnel)]; + if (t.reserved != 0) { + const auto path = path_of(t); + r.reserved_edges.reserve(path.size()); + for (EdgeId x : path) r.reserved_edges.emplace_back(x, t.reserved); + std::sort(r.reserved_edges.begin(), r.reserved_edges.end()); + } + } const FlowRecord* b = created ? nullptr : before[e]; if (!lossy) { r.edges = std::move(f.carried); @@ -2254,12 +1444,14 @@ Staged place_pinned(const PolicyEngine& pe, const Epoch& cur, Working& W, const if (lossy) out.call_drops = merged(std::move(call_drops)); out.call_source_loss = flow.source_loss; // No head reaches a destination (every entry failed): NO_ROUTE, the records kept per entry. - out.termination = k == 0 ? Termination::NoRoute : forwarding_termination(pe.active, lossy, v, placed); - set_flags(out, before_program, view.program.get()); + out.termination = k == 0 ? Termination::NoRoute : forwarding_termination(active, p.has_path(), lossy, v, placed); + set_flags(out, before_program, view.program.get(), is(pe)); out.program = view.program; + out.plan = plan; out.by_tunnel = tunnel_rows(view, assigned, delivered, dropped); fill_state(pe, draft_records(s.drafts), requested, cur.infinite || !v.has_value(), offered, out, lost); s.next.program = view.program; + s.next.plan = plan; s.next.by_tunnel = out.by_tunnel; s.next.requested = requested; s.next.offered = offered; @@ -2268,6 +1460,62 @@ Staged place_pinned(const PolicyEngine& pe, const Epoch& cur, Working& W, const return s; } +// Pinned: forwarding its program as the policy replays it (place, evaluate, replace); no holds. +Staged place_pinned(const PolicyEngine& pe, const Epoch& cur, Working& W, const Request& rq, + const ForwardingProgram* before_program) { + return forward_entries(pe, cur, W, rq, before_program, pe.view, pe.active, false, std::nullopt); +} + +// T1's setup view U: the reservation baseline minus every hold, this policy's own holds released +// (never above static capacity: R0 <= capacity and the own holds are part of S). +std::vector reservation_view(const PolicyEngine& pe) { + const auto r0 = LedgerAccess::reservation_baseline(pe.fg); + const auto held = LedgerAccess::reserved(pe.fg); + std::vector U(r0.begin(), r0.end()); + if (!held.empty()) { + for (std::size_t e = 0; e < U.size(); ++e) U[e] -= held[e]; + } + for (const FlowRecord* r : current_records(pe)) { + for (const auto& [e, x] : r->reserved_edges) U[static_cast(e)] += x; + } + return U; +} + +// T1's design volume of a call: the explicit design, or the offer (finite: checked by check_call). +Amount t1_design(const Request& rq) noexcept { return rq.design.has_value() ? **rq.design : *rq.v; } + +// The plan of a T1 setup for the design D: the tunnel count, D, the heads' shares and the holds +// of the up tunnels counted once each. +TunnelPlan t1_plan(const PolicyEngine& pe, Amount D, const ForwardingProgram* program) { + TunnelPlan plan; + plan.count = std::get(pe.config.routing).tunnels.count; + plan.design_demand = D; + plan.head_design = head_design(pe.roster, D); + if (program != nullptr) { + for (const auto& t : program->tunnels()) plan.reserved_total += t.reserved; + } + return plan; +} + +// T1: replace and evaluate set up the tunnels for the design on the unreserved view and forward +// the new program; forward() forwards the installed program with its holds (and the call's black +// holes). Records per program entry in both. +Staged place_t1(const PolicyEngine& pe, const Epoch& cur, Working& W, const Request& rq, + const ForwardingProgram* before_program) { + const auto& g = *pe.graph; + if (rq.op == Op::Forward) { + const ForwardingView view = make_view(g, pe.epoch.program, nullptr, pe.dests_ok, rq.dark, true); + return forward_entries(pe, cur, W, rq, before_program, view, view_active(view), true, pe.epoch.plan); + } + const Amount D = t1_design(rq); + const auto& ca = std::get(pe.config.routing); + auto tunnels = t1_setup(g, pe.elig, pe.roster, pe.dests_ok, pe.selection, ca, pe.c0, D, reservation_view(pe)); + const auto program = tunnel_program(g, pe.sources, pe.destinations, pe.roster, std::move(tunnels), + pe.excluded_nodes, pe.excluded_edges); + const ForwardingView view = make_view(g, program, nullptr, pe.dests_ok, nullptr, true); + return forward_entries(pe, cur, W, rq, before_program, view, view_active(view), true, t1_plan(pe, D, program.get())); +} + // forward(): a computing model's installed program forwarded with no route computation, on the // released view, records per roster source (CostOnly and Global). Staged forward_installed(const PolicyEngine& pe, Working& W, const Request& rq) { @@ -2348,7 +1596,7 @@ Staged forward_installed(const PolicyEngine& pe, Working& W, const Request& rq) for (const std::int32_t e : view.head_entries(h)) active = active || p.entries[static_cast(e)].weight > 0; } if (p.pooled) active = !view.plan(0)->members.empty(); - out.termination = forwarding_termination(active, lossy, v, out.placed); + out.termination = forwarding_termination(active, p.has_path(), lossy, v, out.placed); out.program = program; out.by_tunnel = tunnel_rows(view, assigned, delivered, dropped); const auto after = draft_records(s.drafts); @@ -2382,41 +1630,39 @@ ResolvedAxes resolve_config(const FlowPolicyConfig& cfg, bool cache, std::int32_ if (cfg.origin.has_value()) check_member(*cfg.origin, "origin"); if (cfg.selection.has_value()) check_selection(*cfg.selection); if (cfg.weights.has_value()) check_member(*cfg.weights, "weights"); - // The model's row, its columns left to right: placement, origin, admission, selection, weights - // (with edge_weights). + // The model's row (T1: an "up to" count is not T1's row), its columns left to right: + // placement, origin, admission, selection, weights (with edge_weights). ResolvedAxes out {cfg.selection, cfg.origin, cfg.weights}; const bool cost_only = std::holds_alternative(r); const bool global = std::holds_alternative(r); - const bool capacity_aware = std::holds_alternative(r); + const auto* t1 = std::get_if(&r); const bool pinned = std::holds_alternative(r); const std::string model = model_name(r); - if (global || pinned) { + if (t1 != nullptr && t1->tunnels.up_to) invalid("T1 requires an exact tunnel count"); + if (!cost_only) { if (cfg.placement.has_value()) invalid(model + " does not accept placement"); } else if (!cfg.placement.has_value()) { - invalid(std::string(cost_only ? "CostOnly" : "CapacityAware") + " requires placement"); + invalid("CostOnly requires placement"); } const bool max_flow = global || (cfg.placement.has_value() && *cfg.placement == FlowPlacement::MaxFlow); if (cost_only && !max_flow && cfg.origin == Origin::Optimized) { invalid("CostOnly with EQUAL_BALANCED or WEIGHTED requires origin=EQUAL"); } - if (capacity_aware && cfg.origin == Origin::Optimized) invalid("T1 requires origin=EQUAL"); + if (t1 != nullptr && cfg.origin == Origin::Optimized) invalid("T1 requires origin=EQUAL"); if (pinned && cfg.origin.has_value()) invalid("Pinned does not accept origin"); if (!cfg.origin.has_value() && !pinned) { - out.origin = cost_only && !max_flow ? Origin::Equal : capacity_aware ? Origin::Equal : Origin::Optimized; - } - if (cfg.admission == Admission::Lossy) { - if (max_flow) invalid("MAX_FLOW requires admission=LOSSLESS"); - if (capacity_aware) invalid("CapacityAware requires admission=LOSSLESS"); + out.origin = (cost_only && !max_flow) || t1 != nullptr ? Origin::Equal : Origin::Optimized; } + if (cfg.admission == Admission::Lossy && max_flow) invalid("MAX_FLOW requires admission=LOSSLESS"); if (global || pinned) { if (cfg.selection.has_value()) invalid(model + " does not accept selection"); } else { if (!cfg.selection.has_value()) out.selection = PathSelection(); - check_kernel_combination(*cfg.placement, cfg.admission); - // CapacityAware's Weighted flows read their weights from the priority (Capacity or Residual), - // so Headroom (a ratio, not units) is rejected for them. - if (capacity_aware && *cfg.placement == FlowPlacement::Weighted && out.selection->priority == EdgePriority::Headroom) { - invalid("the Weighted kernel is rejected with priority Headroom (weights are units)"); + if (t1 != nullptr) { + // A tunnel is one path: T1 reads tie_break, priority and multi_edge. + if (out.selection->multipath == true) invalid("T1 requires multipath=False"); + } else { + check_kernel_combination(*cfg.placement, cfg.admission); } } // The weights column: CostOnly Weighted reads them (Capacity by default); another CostOnly @@ -2434,22 +1680,12 @@ ResolvedAxes resolve_config(const FlowPolicyConfig& cfg, bool cache, std::int32_ if (cfg.edge_weights) invalid(model + " does not accept edge_weights"); } if (cache && !cost_only) invalid(model + " does not use DagCache"); - if (const auto* ca = std::get_if(&r)) { - if (ca->flow_count < 1) invalid("CapacityAware flow_count must be >= 1 (got " + str(ca->flow_count) + ")"); - if (ca->max_flow_count.has_value() && *ca->max_flow_count < ca->flow_count) { - invalid("CapacityAware max_flow_count (" + str(*ca->max_flow_count) + ") must be >= flow_count (" + - str(ca->flow_count) + ")"); - } - if (ca->min_flow_bandwidth < 0 || ca->min_flow_bandwidth >= kDomainLimit) { - invalid("CapacityAware min_flow_bandwidth must be in [0, 2^62) units (got " + str(ca->min_flow_bandwidth) + ")"); - } - check_ceiling(ca->max_path_cost); - if (ca->diminishing.has_value()) { - const auto& d = *ca->diminishing; - if (d.window < 1) invalid("diminishing window must be >= 1 (got " + str(d.window) + ")"); - if (!(d.fraction > 0.0 && d.fraction < 1.0)) { - invalid("diminishing fraction must be in (0, 1) (got " + std::to_string(d.fraction) + ")"); - } + // T1's parameters: the tunnel count, the cost ceiling, the search minimum. + if (t1 != nullptr) { + if (t1->tunnels.count < 1 || t1->tunnels.count > kMaxTunnelCount) invalid("tunnel count must be in [1, 10000]"); + check_ceiling(t1->max_path_cost); + if (t1->min_unreserved_bandwidth < 0 || t1->min_unreserved_bandwidth >= kDomainLimit) { + invalid("min_unreserved_bandwidth must be an integer in [0, 2^62)"); } } // edge_weights' length and entries (they need the graph). @@ -2468,11 +1704,22 @@ void check_source_count(const FlowPolicyConfig& cfg, std::size_t num_sources, st (void)num_destinations; // The pooled single-path rule: a bottleneck choice would differ per source at a shared router. if (std::holds_alternative(r) && num_sources > 1 && cfg.selection.has_value() && - !cfg.selection->multipath && cfg.selection->tie_break == EdgeTieBreak::PreferHigherPriority) { + cfg.selection->single_path() && cfg.selection->tie_break == EdgeTieBreak::PreferHigherPriority) { invalid("CostOnly with multiple input sources rejects multipath=false with PREFER_HIGHER_PRIORITY"); } } +void check_tunnel_limit(const FlowPolicyConfig& cfg, std::size_t num_heads) { + const auto* t1 = std::get_if(&cfg.routing); + if (t1 == nullptr) return; + // The count is in [1, 10000] (resolve_config) and H < 2^31: the product fits 64 bits. + const auto heads = static_cast(num_heads); + if (heads * t1->tunnels.count > kMaxTunnels) { + invalid("tunnel limit exceeded: " + str(heads) + " heads x " + str(t1->tunnels.count) + " tunnels > " + + str(kMaxTunnels)); + } +} + } // namespace detail // ================================================================ FlowPolicy @@ -2482,24 +1729,6 @@ using detail::PolicyEngine; namespace { -// Some head can place traffic: a positive injection weight and a surviving entry of positive -// weight whose route has a member. -bool view_active(const detail::ForwardingView& v) { - const auto& p = *v.data; - for (std::size_t h = 0; h < v.num_heads(); ++h) { - if (!v.weights().empty() && v.weights()[h] == 0) continue; - for (const std::int32_t ei : v.head_entries(h)) { - const auto e = static_cast(ei); - const auto& entry = p.entries[e]; - if (entry.weight == 0) continue; - if (entry.tunnel >= 0) return true; - const auto r = v.root_of(e); - if (r >= 0 && v.plan(static_cast(entry.context))->root_pos[static_cast(r)] >= 0) return true; - } - } - return false; -} - // The engine of a new policy, bound to its ledger as the last step. A supplied frozen cache's hit // is recorded in `tally`: the public constructor publishes it once construction has // succeeded, an evaluator once its whole call has. @@ -2556,7 +1785,7 @@ std::unique_ptr make_engine(FlowLedger& ledger, std::spanview = detail::make_view(g, pinned->program, elig, pe->dests_ok, pinned->black_holes.get(), true); for (std::size_t h = 0; h < pe->view.num_heads(); ++h) pe->roster.push_back(pe->view.head(h)); - pe->active = view_active(pe->view); + pe->active = detail::view_active(pe->view); pe->epoch.cohorts.resize(detail::ProgramAccess::data(*pinned->program).entries.size()); pe->owner = LedgerAccess::bind(ledger); return pe; @@ -2587,18 +1816,18 @@ std::unique_ptr make_engine(FlowLedger& ledger, std::spanglobal_support = std::make_shared>(std::move(trimmed)); } else { - // The static costs fix the roster; only a Stretch ceiling reads them again, so only it keeps them. - const auto* ca = std::get_if(&pe->config.routing); - const bool keep_costs = - ca != nullptr && ca->max_path_cost.has_value() && std::holds_alternative(*ca->max_path_cost); + // The static costs fix the roster (unrestricted Global and T1); T1's Stretch baseline c0 is + // their minimum over the roster heads (zero-capacity edges included, before any filter). const auto dist = detail::static_costs(g, elig, pe->dests_ok, pe->sources); + pe->c0 = kUnreachable; for (std::size_t i = 0; i < pe->sources.size(); ++i) { const NodeId s = pe->sources[i]; if (!node_ok(s) || dist[i] == kUnreachable) continue; pe->roster.push_back(s); - if (keep_costs) pe->baseline.push_back(dist[i]); + pe->c0 = std::min(pe->c0, dist[i]); } - if (global != nullptr && elig != nullptr && elig->uid() != 0) { + detail::check_tunnel_limit(pe->config, pe->roster.size()); + if (elig != nullptr && elig->uid() != 0) { // Its programs' replay basis: the topology under this mask. for (NodeId v = 0; v < g.num_nodes(); ++v) { if (!elig->node_ok(v)) pe->excluded_nodes.push_back(v); @@ -2608,7 +1837,8 @@ std::unique_ptr make_engine(FlowLedger& ledger, std::spanepoch.cohorts.resize(pe->roster.size()); + // T1's cohorts are per program entry, sized by its first call. + if (!detail::is(*pe)) pe->epoch.cohorts.resize(pe->roster.size()); pe->owner = LedgerAccess::bind(ledger); // last: nothing is bound when construction fails return pe; } @@ -2632,10 +1862,9 @@ FlowPolicy::~FlowPolicy() { LedgerAccess::release(engine_->fg, engine_->owner); namespace detail { namespace { -// The program a computing model installs for an empty roster (R22): CostOnly and Global an empty -// one, CapacityAware none. Pinned never comes here: its forwarding with no head is place_pinned's. +// The program a computing model installs for an empty roster (R22): an empty one. Pinned never +// comes here: its forwarding with no head is place_pinned's. std::shared_ptr empty_roster_program(const PolicyEngine& pe) { - if (is(pe)) return nullptr; return empty_program(pe.graph->uid(), pe.sources, pe.destinations, controller(pe) && pe.origin == Origin::Optimized); } @@ -2656,7 +1885,7 @@ PlacementResult zero_state(const PolicyEngine& pe, const OutputOptions& outputs) if (dense_global(pe) && pe.origin == Origin::Optimized && ep.prepared && ep.curve.has_value()) out.cost_distribution = *ep.curve; out.program = ep.program; out.by_tunnel = ep.by_tunnel; - prepare_outputs(pe, outputs, current_edges(pe), out); + prepare_outputs(pe, outputs, records, out); return out; } @@ -2677,13 +1906,16 @@ Staged empty_roster(const PolicyEngine& pe, const Epoch& cur, const Request& rq, s.next.prepared = true; s.next.infinite = cur.infinite || !v.has_value(); s.next.program = cur.program ? cur.program : empty_roster_program(pe); + // T1: forward keeps the installed plan; a setup plans no head. + if (is(pe)) s.next.plan = rq.op == Op::Forward ? cur.plan : t1_plan(pe, t1_design(rq), nullptr); PlacementResult& out = s.out; out.remaining = v; out.delivery_delta = 0; out.termination = Termination::NoRoute; if (lossy && v.has_value()) out.call_source_loss = *v; - set_flags(out, before, s.next.program.get()); + set_flags(out, before, s.next.program.get(), is(pe)); out.program = s.next.program; + out.plan = s.next.plan; fill_state(pe, {}, s.next.requested, s.next.infinite, s.next.offered, out); if (controller(pe)) out.total_cost = Counter128 {}; if (optimized_global) { @@ -2705,16 +1937,29 @@ void check_forward_operation(const PolicyEngine& pe) { namespace { // The call's validation (before any change, also before the zero shortcut), in this order: the -// operation for the model and an installed program (forward), the offer, a Lossy full offer's -// finiteness, a finite place after +inf, the requested total's limit, the black holes' graph. +// operation for the model (T1's place) and an installed program (forward), the offer, a Lossy full +// offer's finiteness, the design demand (the model, its domain, T1's finiteness), a finite place +// after +inf, the requested total's limit, the black holes' graph. void check_call(const PolicyEngine& pe, const Request& rq) { const bool lossy = pe.config.admission == Admission::Lossy; + const bool t1 = is(pe); + if (rq.op == Op::Place && t1) invalid("T1 does not support incremental placement"); if (rq.op == Op::Forward) check_forward_operation(pe); if (rq.v.has_value() && (*rq.v < 0 || *rq.v >= kDomainLimit)) { invalid("offer must be an integer in [0, 2^62) or permitted +inf"); } // A Lossy full offer is finite; CostOnly's place(+inf) is its first-hop experiment. if (lossy && !rq.v.has_value() && (rq.full() || is(pe))) invalid("LOSSY forwarding requires a finite offer"); + // The design demand: T1's alone, in its domain, finite (absent: the offer). + if (rq.design.has_value()) { + if (!t1) invalid(std::string(model_name(pe.config.routing)) + " does not accept design_demand"); + if (rq.design->has_value() && (**rq.design < 0 || **rq.design >= kDomainLimit)) { + invalid("design_demand must be an integer in [0, 2^62) or permitted +inf"); + } + } + if (t1 && rq.op != Op::Forward && (rq.design.has_value() ? !rq.design->has_value() : !rq.v.has_value())) { + invalid("T1 requires a finite design demand"); + } if (rq.op == Op::Place) { if (pe.epoch.infinite && rq.v.has_value()) invalid("finite placement after infinite placement requires a new epoch"); // The only check of the cumulative request: nothing changes the requested total between here @@ -2743,16 +1988,16 @@ Staged compute(const PolicyEngine& pe, const Request& rq) { // No roster source (a computing model): nothing is computed. A Pinned policy whose heads all // fail keeps its per-entry records and forwards nothing (place_pinned). s = empty_roster(pe, cur, rq, before); + } else if (is(pe)) { + s = place_t1(pe, cur, W, rq, before); } else if (rq.op == Op::Forward) { s = forward_installed(pe, W, rq); } else if (is(pe)) { s = place_pinned(pe, cur, W, rq, before); } else if (controller(pe)) { s = place_controller(pe, cur, W, rq, before); - } else if (is(pe)) { - s = place_pooled(pe, cur, W, rq, before); } else { - s = place_flows(pe, cur, W, rq); + s = place_pooled(pe, cur, W, rq, before); } // A full-offer call: its placed is the whole new delivery, compared with the old one. if (rq.full()) { @@ -2765,7 +2010,7 @@ Staged compute(const PolicyEngine& pe, const Request& rq) { // The first termination row (14.2): a request of 0 is COMPLETE, also for a full-offer call, which // still prepared and publishes what it computed. if (rq.v == Amount {0}) s.out.termination = Termination::Complete; - if (rq.outputs != nullptr && any_output(*rq.outputs)) prepare_outputs(pe, *rq.outputs, draft_edges(s.drafts), s.out); + if (rq.outputs != nullptr && any_output(*rq.outputs)) prepare_outputs(pe, *rq.outputs, draft_records(s.drafts), s.out); return s; } @@ -2800,39 +2045,33 @@ PlacementResult run_call(PolicyEngine& pe, const Request& rq, const std::functio } // namespace detail PlacementResult FlowPolicy::place(std::optional volume, const OutputOptions& outputs) { - return detail::run_call(*engine_, detail::Request {detail::Op::Place, volume, nullptr, &outputs, nullptr}, nullptr); + return detail::run_call(*engine_, detail::Request {detail::Op::Place, volume, {}, nullptr, &outputs, nullptr}, nullptr); } -PlacementResult FlowPolicy::evaluate(std::optional offer, const OutputOptions& outputs) const { - const detail::Request rq {detail::Op::Evaluate, offer, nullptr, &outputs, nullptr}; +PlacementResult FlowPolicy::evaluate(std::optional offer, const std::optional>& design_demand, + const OutputOptions& outputs) const { + const detail::Request rq {detail::Op::Evaluate, offer, design_demand, nullptr, &outputs, nullptr}; detail::check_call(*engine_, rq); return std::move(detail::compute(*engine_, rq).out); } -PlacementResult FlowPolicy::replace(std::optional offer, const OutputOptions& outputs) { - return detail::run_call(*engine_, detail::Request {detail::Op::Replace, offer, nullptr, &outputs, nullptr}, nullptr); +PlacementResult FlowPolicy::replace(std::optional offer, const std::optional>& design_demand, + const OutputOptions& outputs) { + return detail::run_call(*engine_, detail::Request {detail::Op::Replace, offer, design_demand, nullptr, &outputs, nullptr}, + nullptr); } PlacementResult FlowPolicy::forward(std::optional offer, const Eligibility* black_holes, const OutputOptions& outputs) { - return detail::run_call(*engine_, detail::Request {detail::Op::Forward, offer, black_holes, &outputs, nullptr}, nullptr); + return detail::run_call(*engine_, detail::Request {detail::Op::Forward, offer, {}, black_holes, &outputs, nullptr}, + nullptr); } #if NETGRAPH_CORE_PRIVATE_HOOKS PlacementResult detail::place_traced(FlowPolicy& policy, std::optional volume, const OutputOptions& outputs, Trace& trace, const std::function* staged) { trace = Trace::map(); - return run_call(PolicyAccess::engine(policy), Request {Op::Place, volume, nullptr, &outputs, &trace}, staged); -} - -PlacementResult detail::call_staged(FlowPolicy& policy, CallKind kind, std::optional offer, - const Eligibility* black_holes, const OutputOptions& outputs, - const std::function* staged) { - const Op op = kind == CallKind::Place ? Op::Place - : kind == CallKind::Evaluate ? Op::Evaluate - : kind == CallKind::Replace ? Op::Replace - : Op::Forward; - return run_call(PolicyAccess::engine(policy), Request {op, offer, black_holes, &outputs, nullptr}, staged); + return run_call(PolicyAccess::engine(policy), Request {Op::Place, volume, {}, nullptr, &outputs, &trace}, staged); } #endif @@ -2842,6 +2081,7 @@ void FlowPolicy::remove() { // A new epoch (nothing below throws): the same number of cohorts, every one empty. for (auto& c : pe.epoch.cohorts) c.clear(); pe.epoch.program.reset(); + pe.epoch.plan.reset(); pe.epoch.support.clear(); pe.epoch.curve.reset(); pe.epoch.head_lost.clear(); diff --git a/src/forwarding.cpp b/src/forwarding.cpp index 53969f2..0920b86 100644 --- a/src/forwarding.cpp +++ b/src/forwarding.cpp @@ -177,7 +177,7 @@ void finish_view(ForwardingView& v) { const auto e = static_cast(p.tunnel_entry[t]); if (v.status_[e] != TunnelStatus::Up) continue; // An edge is black-holed when the Eligibility disallows it (itself or an endpoint). - for (EdgeId x : p.tunnels[t].edges) { + for (EdgeId x : path_of(p.tunnels[t])) { if (!v.dark->edge_ok(x)) { v.status_[e] = TunnelStatus::Blackholed; break; @@ -196,11 +196,12 @@ void materialize(ForwardingView& v) { v.slots_.resize(p.roster.size()); for (std::size_t s = 0; s < p.roster.size(); ++s) v.slots_[s] = static_cast(s); v.weights_ = p.head_weight; - v.status_.assign(n, TunnelStatus::Up); + v.status_.resize(n); v.bundles_.resize(n); v.costs_.resize(n); v.root_of_.resize(n); for (std::size_t e = 0; e < n; ++e) { + v.status_[e] = v.status(e); v.bundles_[e] = p.entries[e].bundle; v.costs_[e] = p.entries[e].cost; v.root_of_[e] = v.root_of(e); @@ -229,8 +230,8 @@ ForwardingView make_view(const Graph& g, std::shared_ptr( - PredDAGBuilder::of_edges(g, p.tunnels[static_cast(p.entries[e].tunnel)].edges)); + const auto path = path_of(p.tunnels[static_cast(p.entries[e].tunnel)]); + v.bundles_[e] = std::make_shared(path.empty() ? PredDAGBuilder::empty(g) : PredDAGBuilder::of_edges(g, path)); } finish_view(v); return v; @@ -273,18 +274,20 @@ ForwardingView make_view(const Graph& g, std::shared_ptr(entry.slot)] < 0; if (entry.tunnel >= 0) { - for (EdgeId x : p.tunnels[static_cast(entry.tunnel)].edges) { - failed = failed || edge_ok[static_cast(x)] == 0; + const auto& t = p.tunnels[static_cast(entry.tunnel)]; + if (t.status != TunnelStatus::Up) { + v.status_[e] = t.status; + if (records) v.bundles_[e] = std::make_shared(PredDAGBuilder::empty(g)); + continue; } + for (EdgeId x : path_of(t)) failed = failed || edge_ok[static_cast(x)] == 0; if (!failed) { - if (records) { - v.bundles_[e] = std::make_shared( - PredDAGBuilder::of_edges(g, p.tunnels[static_cast(entry.tunnel)].edges)); - } + if (records) v.bundles_[e] = std::make_shared(PredDAGBuilder::of_edges(g, path_of(t))); v.costs_[e] = entry.cost; } } else if (!failed) { @@ -615,7 +618,7 @@ Net build_net(const ForwardingView& view, const FreeFn& free) { it.head = static_cast(h); if (entry.tunnel >= 0) { it.tunnel = entry.tunnel; - it.nocc = static_cast(p.tunnels[static_cast(entry.tunnel)].edges.size()); + it.nocc = static_cast(path_of(p.tunnels[static_cast(entry.tunnel)]).size()); } else { it.plan = view.plan(static_cast(entry.context)).get(); const auto r = view.root_of(e); @@ -637,7 +640,7 @@ Net build_net(const ForwardingView& view, const FreeFn& free) { it.occ0 = nocc; nocc += it.nocc; if (it.tunnel >= 0) { - const auto& edges = p.tunnels[static_cast(it.tunnel)].edges; + const auto edges = path_of(p.tunnels[static_cast(it.tunnel)]); net.links.insert(net.links.end(), edges.begin(), edges.end()); } else { net.links.insert(net.links.end(), it.plan->members.begin(), it.plan->members.end()); @@ -658,7 +661,7 @@ Net build_net(const ForwardingView& view, const FreeFn& free) { const auto& it = net.items[i]; for (std::int32_t j = 0; j < it.nocc; ++j) { const auto o = static_cast(it.occ0 + j); - const EdgeId e = it.tunnel >= 0 ? p.tunnels[static_cast(it.tunnel)].edges[static_cast(j)] + const EdgeId e = it.tunnel >= 0 ? path_of(p.tunnels[static_cast(it.tunnel)])[static_cast(j)] : it.plan->members[static_cast(j)]; net.occ_link[o] = link_index(net, e); net.occ_item[o] = static_cast(i); @@ -876,9 +879,6 @@ class Lossy { [[nodiscard]] std::int32_t router(const Net::Item& it, std::int32_t pos) const noexcept { return nb_ + it.pos0 + pos; } - [[nodiscard]] bool barrier_occ(std::int32_t o) const noexcept { - return barrier_[static_cast(net_.occ_link[static_cast(o)])] >= 0; - } [[nodiscard]] std::int32_t event_of_occ(std::int32_t o) const noexcept { return barrier_[static_cast(net_.occ_link[static_cast(o)])]; } diff --git a/src/kernels.cpp b/src/kernels.cpp index bdd039a..4790d51 100644 --- a/src/kernels.cpp +++ b/src/kernels.cpp @@ -633,7 +633,7 @@ std::optional cost_only_creation(const Graph& g, const std::sh FlowPlacement placement, Admission admission, const WeightSource& weights) { const bool weighted = placement == FlowPlacement::Weighted; - if (!selection.multipath || (weighted && weights.basis == WeightBasis::ResidualSnapshot)) return std::nullopt; + if (selection.single_path() || (weighted && weights.basis == WeightBasis::ResidualSnapshot)) return std::nullopt; check_kernel(placement, admission); // A Weighted route edge's weight (static membership: Capacity or Explicit). auto weight = [&](EdgeId e) -> Amount { diff --git a/src/program.cpp b/src/program.cpp index 2effabe..1ab4743 100644 --- a/src/program.cpp +++ b/src/program.cpp @@ -180,8 +180,9 @@ std::shared_ptr controller_program( t.index = static_cast(i); t.head = roster[static_cast(path.slot)]; t.destination = edge_dst[static_cast(path.edges.back())]; - t.route_cost = 0; - for (EdgeId e : path.edges) t.route_cost += cost[static_cast(e)]; + Cost route_cost = 0; + for (EdgeId e : path.edges) route_cost += cost[static_cast(e)]; + t.route_cost = route_cost; t.weight = path.amount; ProgramEntry entry; entry.index = t.index; @@ -189,7 +190,7 @@ std::shared_ptr controller_program( entry.slot = path.slot; entry.weight = path.amount; entry.tunnel = static_cast(i); - entry.cost = t.route_cost; + entry.cost = route_cost; t.edges = std::move(path.edges); p->tunnels.push_back(std::move(t)); p->entries.push_back(std::move(entry)); @@ -224,6 +225,47 @@ std::shared_ptr cost_only_program( return ProgramAccess::make(std::move(data)); } +std::shared_ptr tunnel_program( + const Graph& g, std::span sources, std::span destinations, + std::span roster, std::vector tunnels, std::span excluded_nodes, + std::span excluded_edges) { + ProgramData data; + ProgramData* p = &data; + p->graph_uid = g.uid(); + const auto edge_dst = g.edge_dst(); + const auto H = static_cast(roster.size()); + p->tunnels.reserve(tunnels.size()); + p->entries.reserve(tunnels.size()); + for (std::size_t i = 0; i < tunnels.size(); ++i) { + auto& s = tunnels[i]; + const bool up = s.status == TunnelStatus::Up; + Tunnel t; + t.index = s.round * H + s.slot; + t.head = roster[static_cast(s.slot)]; + t.status = s.status; + t.requested = s.requested; + t.reserved = up ? s.requested : 0; + t.weight = up ? 1 : 0; + ProgramEntry entry; + entry.index = t.index; + entry.head = t.head; + entry.slot = s.slot; + entry.weight = t.weight; + entry.tunnel = static_cast(i); + entry.cost = up ? s.cost : kUnreachable; + if (up) { + t.destination = edge_dst[static_cast(s.edges.back())]; + t.route_cost = s.cost; + t.edges = std::move(s.edges); + } + p->tunnels.push_back(std::move(t)); + p->entries.push_back(std::move(entry)); + } + p->topology = true; + p->lay_out(sources, destinations, roster, excluded_nodes, excluded_edges); + return ProgramAccess::make(std::move(data)); +} + std::shared_ptr empty_program(std::uint64_t graph_uid, std::span sources, std::span destinations, bool captured) { ProgramData data; @@ -256,14 +298,15 @@ void ProgramData::basis_parts(std::size_t slot, std::vector(e)]; if (entry.tunnel >= 0) { - out.emplace_back(tunnels[static_cast(entry.tunnel)].edges, false); + out.emplace_back(path_of(tunnels[static_cast(entry.tunnel)]), false); } else { out.emplace_back(PredDAGBuilder::ascending(*entry.bundle), true); } } } -ProgramChange compare_programs(const ForwardingProgram* before, const ForwardingProgram* after) noexcept { +ProgramChange compare_programs(const ForwardingProgram* before, const ForwardingProgram* after, + bool reservations) noexcept { static const ProgramData kNone {}; const ProgramData& a = before != nullptr ? ProgramAccess::data(*before) : kNone; const ProgramData& b = after != nullptr ? ProgramAccess::data(*after) : kNone; @@ -287,13 +330,37 @@ ProgramChange compare_programs(const ForwardingProgram* before, const Forwarding for (std::size_t c = 0; !out.routes && c < a.contexts.size(); ++c) { out.routes = !same_plan_structure(*a.contexts[c].plan, *b.contexts[c].plan); } - // Weights: the injection (equal or the captured weights) and every entry and split-table weight. + // Weights: the injection (equal or the captured weights) and every entry and split-table weight, + // an entry absent from one program counting as weight 0 there. out.weights = a.source_weights.has_value() != b.source_weights.has_value() || a.head_weight != b.head_weight || - a.entries.size() != b.entries.size() || a.contexts.size() != b.contexts.size(); - for (std::size_t i = 0; !out.weights && i < a.entries.size(); ++i) out.weights = a.entries[i].weight != b.entries[i].weight; + a.contexts.size() != b.contexts.size(); + const std::size_t n = std::max(a.entries.size(), b.entries.size()); + auto weight = [](const ProgramData& p, std::size_t i) { return i < p.entries.size() ? p.entries[i].weight : Amount {0}; }; + for (std::size_t i = 0; !out.weights && i < n; ++i) out.weights = weight(a, i) != weight(b, i); for (std::size_t c = 0; !out.weights && c < a.contexts.size(); ++c) { out.weights = a.contexts[c].plan->weights != b.contexts[c].plan->weights; } + // Reservations: every tunnel's (requested, reserved) by index (both lists ascend), a tunnel + // absent from one program counting as (0, 0) there (only T1 tunnels have them). + if (!reservations) return out; + auto held = [](const Tunnel& t) { return t.requested != 0 || t.reserved != 0; }; + std::size_t i = 0; + std::size_t j = 0; + while (!out.reservations && (i < a.tunnels.size() || j < b.tunnels.size())) { + const Tunnel* x = i < a.tunnels.size() ? &a.tunnels[i] : nullptr; + const Tunnel* y = j < b.tunnels.size() ? &b.tunnels[j] : nullptr; + if (x != nullptr && (y == nullptr || x->index < y->index)) { + out.reservations = held(*x); + ++i; + } else if (y != nullptr && (x == nullptr || y->index < x->index)) { + out.reservations = held(*y); + ++j; + } else { + out.reservations = x->requested != y->requested || x->reserved != y->reserved; + ++i; + ++j; + } + } return out; } @@ -389,10 +456,11 @@ std::shared_ptr ForwardingProgram::from_routes(const Gr t.destination = (*path)->dst(); t.route_cost = (*path)->cost(); t.weight = r.weight; - t.edges.reserve(hops.size()); - for (const auto& hop : hops) t.edges.push_back(hop.front()); + auto& edges = t.edges.emplace(); + edges.reserve(hops.size()); + for (const auto& hop : hops) edges.push_back(hop.front()); entry.tunnel = static_cast(p->tunnels.size()); - entry.cost = t.route_cost; + entry.cost = (*path)->cost(); p->tunnels.push_back(std::move(t)); } else { // The plan in one pass: its route (the DAG's edges on the walks from the head to a diff --git a/src/search.cpp b/src/search.cpp index d1f6acb..e2f0a4b 100644 --- a/src/search.cpp +++ b/src/search.cpp @@ -1083,15 +1083,10 @@ std::optional route_search(const Graph& g, const Gate& gate, const prune(ws, em, dests, dstar); SearchRoute out; out.cost = dstar; - if (selection.multipath) { - out.edges = ws.pruned; - } else { - const bool prefer = selection.tie_break == EdgeTieBreak::PreferHigherPriority; - auto walk = extract(ws, g, [&](NodeId v) { return ws.dist[static_cast(v)]; }, dstar, - prefer ? &prio : nullptr, nullptr); - out.edges = std::move(walk.edges); - } - std::sort(out.edges.begin(), out.edges.end()); + const bool prefer = selection.tie_break == EdgeTieBreak::PreferHigherPriority; + auto walk = extract(ws, g, [&](NodeId v) { return ws.dist[static_cast(v)]; }, dstar, + prefer ? &prio : nullptr, nullptr); + out.edges = std::move(walk.edges); return out; } @@ -1159,7 +1154,7 @@ SearchRoute support_route(const Graph& g, std::span support, NodeI route.resize(w); } out.cost = total; - if (selection.multipath) { + if (!selection.single_path()) { out.edges = route; return out; } @@ -1222,7 +1217,8 @@ void check_ceiling(const std::optional& ceiling) { namespace netgraph::core { // The selection of a search (options.hpp): its two enum-typed fields inside their enumerations. -PathSelection::PathSelection(EdgeTieBreak tie_break_, EdgePriority priority_, bool multipath_, bool multi_edge_) +PathSelection::PathSelection(EdgeTieBreak tie_break_, EdgePriority priority_, std::optional multipath_, + bool multi_edge_) : tie_break(tie_break_), priority(priority_), multipath(multipath_), multi_edge(multi_edge_) { detail::check_member(tie_break, "tie_break"); detail::check_member(priority, "priority"); @@ -1242,7 +1238,7 @@ SpfResult spf(const Graph& g, std::span roots, const SpfOptions& o if (opts.targets.has_value()) { target_set = node_set(*opts.targets, g.num_nodes(), "targets"); check_disjoint(root_set, target_set, "roots", "targets"); - } else if (!opts.selection.multipath) { + } else if (opts.selection.single_path()) { throw std::invalid_argument("multipath = false requires targets (the single path joins a root to a target)"); } const std::span residual = opts.residual.value_or(std::span {}); @@ -1284,7 +1280,7 @@ SpfResult spf(const Graph& g, std::span roots, const SpfOptions& o const Cost dstar = run(ws, in); if (dstar == kInf) return SpfResult {std::nullopt, PredDAGBuilder::empty(g), kUnreachable}; prune(ws, em, live_targets, dstar); - if (opts.selection.multipath) return SpfResult {std::nullopt, PredDAGBuilder::of_edges(g, ws.pruned), dstar}; + if (!opts.selection.single_path()) return SpfResult {std::nullopt, PredDAGBuilder::of_edges(g, ws.pruned), dstar}; // The walks run from the walk starts (Forward: the roots; Reverse: the targets) to the ends; // the potential is the forward distance from the starts (Reverse: d* - the distance to the roots). const bool prefer = opts.selection.tie_break == EdgeTieBreak::PreferHigherPriority; @@ -1320,7 +1316,7 @@ std::vector> ksp(const Graph& g, NodeId src, NodeId dst, c std::vector> out; if (opts.elig != nullptr && (!opts.elig->node_ok(src) || !opts.elig->node_ok(dst))) return out; // The ceiling: Absolute(c), or Stretch(f) times the static shortest cost of the member graph - // under the Eligibility (residual ignored, as for the CapacityAware ceiling); no static route + // under the Eligibility (residual ignored, as for T1's ceiling); no static route // gives []. const auto* absolute = opts.max_path_cost.has_value() ? std::get_if(&*opts.max_path_cost) : nullptr; const auto* stretch = opts.max_path_cost.has_value() ? std::get_if(&*opts.max_path_cost) : nullptr; diff --git a/src/tunnels_t1.cpp b/src/tunnels_t1.cpp new file mode 100644 index 0000000..ae1a983 --- /dev/null +++ b/src/tunnels_t1.cpp @@ -0,0 +1,73 @@ +/* + T1 setup (contract 6.2 to 6.4): every head sets up its own strict tunnels, no controller. + + The design volume D is split RR(D, H, i) over the heads and each head's share RR(d, N, j) over + its N tunnels, so tunnels of one head differ by at most one unit. The attempts run in round + order (round j = 0..N-1, the heads ascending within a round), which is also the entry order + j * H + i of the program; every attempt runs even after failures, on the reservation view U + minus the requests of the tunnels already up in this setup. An attempt is one CSPF + (route_search): the allowed edges with U >= max(b, min_unreserved_bandwidth) (no filter at a + threshold of 0), Collapse of parallel members on the filtered candidates, the canonical single + path on static costs (cost, then the bottleneck priority under PreferHigherPriority, fewer hops, + the smaller EdgeId sequence), the priorities reading U. Then the cost ceiling. An up tunnel holds + exactly b on every edge of its path; a down one holds nothing. There is no partial reservation, + retry, growth or count reduction. + + Amounts: U[e] <= capacity < 2^62 and an up tunnel's request is at most U[e] on its edges, so U + stays in [0, 2^62); the requests of one setup sum to D < 2^62. +*/ +#include "netgraph/core/detail/tunnels.hpp" + +#include +#include + +#include "netgraph/core/detail/int128.hpp" +#include "netgraph/core/detail/kernels.hpp" +#include "netgraph/core/detail/traversal.hpp" + +namespace netgraph::core::detail { + +std::vector> head_design(std::span roster, Amount D) { + std::vector> out; + out.reserve(roster.size()); + const auto H = static_cast(roster.size()); + for (std::int64_t i = 0; i < H; ++i) { + out.emplace_back(roster[static_cast(i)], round_robin_share(D, H, i)); + } + return out; +} + +std::vector t1_setup(const Graph& g, const Eligibility* elig, std::span roster, + std::span dests, const PathSelection& selection, + const CapacityAware& ca, Cost c0, Amount D, std::vector U) { + const auto H = static_cast(roster.size()); + const std::int64_t N = ca.tunnels.count; + std::vector out; + out.reserve(static_cast(H * N)); + for (std::int64_t j = 0; j < N; ++j) { + for (std::int64_t i = 0; i < H; ++i) { + SetupTunnel t; + t.slot = static_cast(i); + t.round = static_cast(j); + t.requested = round_robin_share(round_robin_share(D, H, i), N, j); + const Gate gate {elig, U, std::max(t.requested, ca.min_unreserved_bandwidth)}; + auto found = route_search(g, gate, selection, roster[static_cast(i)], dests); + if (!found.has_value()) { + t.status = TunnelStatus::NoBandwidth; + } else if (ca.max_path_cost.has_value() && + (std::holds_alternative(*ca.max_path_cost) + ? found->cost > std::get(*ca.max_path_cost).cost + : !stretch_le(found->cost, c0, std::get(*ca.max_path_cost).factor))) { + t.status = TunnelStatus::CostCeiling; + } else { + t.edges = std::move(found->edges); + t.cost = found->cost; + for (EdgeId e : t.edges) U[static_cast(e)] -= t.requested; + } + out.push_back(std::move(t)); + } + } + return out; +} + +} // namespace netgraph::core::detail diff --git a/tests/cpp/cost_only_creation_tests.cpp b/tests/cpp/cost_only_creation_tests.cpp index 9f15c45..3501118 100644 --- a/tests/cpp/cost_only_creation_tests.cpp +++ b/tests/cpp/cost_only_creation_tests.cpp @@ -59,7 +59,7 @@ GeneralPath general_path(const Graph& g, const std::shared_ptr& s GeneralPath out; auto r = support_route(g, PredDAGBuilder::ascending(*support), src, dsts, sel, view); out.route = r.edges; - Cost cost = !sel.multipath && !r.edges.empty() ? r.cost : kUnreachable; + Cost cost = sel.single_path() && !r.edges.empty() ? r.cost : kUnreachable; out.bundle = PredDAGBuilder::ascending(*support).size() == r.edges.size() ? support : dag_of(g, r.edges); (void)W; const bool computed = cost == kUnreachable; @@ -158,7 +158,7 @@ Tally compare_with_general_path(std::mt19937& rng, int trials, Cost factor) { std::to_string(static_cast(k.placement)) + "/" + std::to_string(static_cast(k.admission)) + " sel " + std::to_string(static_cast(sel.tie_break)) + - std::to_string(static_cast(sel.priority)) + std::to_string(sel.multipath) + + std::to_string(static_cast(sel.priority)) + std::to_string(!sel.single_path()) + std::to_string(sel.multi_edge); const auto want = general_path(g, support, src, dsts, sel, view, W, k.placement, k.admission); const auto got = cost_only_creation(g, support, src, dsts, sel, view, k.placement, k.admission, WeightSource {}); @@ -167,7 +167,7 @@ Tally compare_with_general_path(std::mt19937& rng, int trials, Cost factor) { // Weighted route with an edge of capacity 0, which has weight 0 and is no member). // Capacity weights (CostOnly's default basis) are static whatever the priority: every // multipath selection qualifies. - const bool qualifies = sel.multipath; + const bool qualifies = !sel.single_path(); const bool applies = qualifies && !want.route.empty() && want.plan.members == want.route; EXPECT_EQ(got.has_value(), applies) << where; if (got.has_value() != applies) return t; diff --git a/tests/cpp/flow_ledger_fault_tests.cpp b/tests/cpp/flow_ledger_fault_tests.cpp index f09c66c..88651e7 100644 --- a/tests/cpp/flow_ledger_fault_tests.cpp +++ b/tests/cpp/flow_ledger_fault_tests.cpp @@ -21,6 +21,7 @@ #include #include #include +#include #include #include #include @@ -108,8 +109,8 @@ const std::vector& scenarios() { // The sweeps' only "nothing changed" comparisons compare every field: same_record and the // expect_same overloads of the ledger, a result and a policy's epoch report a copy with any one -// field changed, and expect_balanced reports an aggregate that leaves the sum of the records or -// [0, baseline] on one edge. +// field changed, and expect_balanced reports an aggregate (of carried load or of holds) that leaves +// the sum of the records or [0, its baseline] on one edge. TEST(LedgerFaults, TheSweepComparatorsCompareEveryField) { const auto g = shared(make_graph(3, {{0, 1, 9, 1}, {1, 2, 9, 1}, {0, 2, 4, 3}})); FlowLedger fg(g); @@ -134,6 +135,7 @@ TEST(LedgerFaults, TheSweepComparatorsCompareEveryField) { [](auto& x) { ++x.delivered; }, [](auto& x) { x.edges.emplace_back(2, 1); }, [](auto& x) { x.drops.emplace_back(2, Counter128 {}); }, + [](auto& x) { x.reserved_edges.emplace_back(2, 1); }, }; ASSERT_EQ(rec.admission, Admission::Lossless); ASSERT_FALSE(rec.offered.has_value()); @@ -154,6 +156,8 @@ TEST(LedgerFaults, TheSweepComparatorsCompareEveryField) { const std::vector> states = { [](auto& x) { ++x.allocated[0]; }, [](auto& x) { ++x.residual[0]; }, + [](auto& x) { ++x.reserved[0]; }, + [](auto& x) { ++x.unreserved[0]; }, [](auto& x) { x.records.emplace_back(); }, [](auto& x) { ++x.records[0].delivered; }, [](auto& x) { ++x.next_id; }, @@ -176,6 +180,8 @@ TEST(LedgerFaults, TheSweepComparatorsCompareEveryField) { [](auto& x) { x.termination = Termination::NoRoute; }, [](auto& x) { x.routes_changed = !x.routes_changed; }, [](auto& x) { x.weights_changed = !x.weights_changed; }, + [](auto& x) { x.reservations_changed = !x.reservations_changed; }, + [](auto& x) { x.plan = TunnelPlan {}; }, [](auto& x) { x.requested.reset(); }, [](auto& x) { x.offered = Counter128 {0, 1}; }, [](auto& x) { ++x.admitted.lo; }, @@ -190,6 +196,7 @@ TEST(LedgerFaults, TheSweepComparatorsCompareEveryField) { [](auto& x) { x.edge_flows->push_back(0); }, [](auto& x) { x.residual->push_back(0); }, [](auto& x) { x.bottleneck->push_back(0); }, + [](auto& x) { x.reservation_edge_flows = std::vector {0}; }, [](auto& x) { x.min_cut = std::vector {0}; }, }; ASSERT_NE(r.remaining, std::optional {1}); @@ -221,6 +228,7 @@ TEST(LedgerFaults, TheSweepComparatorsCompareEveryField) { [](auto& x) { x.program.present = !x.program.present; }, [](auto& x) { x.program.tunnels.emplace_back(); }, [](auto& x) { x.program.members.emplace_back(); }, + [](auto& x) { x.plan = TunnelPlan {}; }, [](auto& x) { x.support.push_back(0); }, [](auto& x) { x.head_lost.emplace_back(); }, [](auto& x) { x.by_tunnel.emplace_back(); }, @@ -228,8 +236,7 @@ TEST(LedgerFaults, TheSweepComparatorsCompareEveryField) { [](auto& x) { ++x.cohorts[0][0].id; }, [](auto& x) { ++x.cohorts[0][0].cost; }, [](auto& x) { x.cohorts[0][0].route.push_back(0); }, - [](auto& x) { x.cohorts[0][0].members.push_back(0); }, - [](auto& x) { x.cohorts[0][0].weights.push_back(1); }, + [](auto& x) { ++x.cohorts[0][0].entry; }, }; for (std::size_t k = 0; k < epochs.size(); ++k) { Epoch x = ep; @@ -260,6 +267,20 @@ TEST(LedgerFaults, TheSweepComparatorsCompareEveryField) { auto& live = const_cast(detail::LedgerAccess::live(x, rec.flow_id.second)); for (auto& [edge, amount] : live.edges) amount -= edge == e ? under : 0; }}, + {"holds above the sum of the records", [&](FlowLedger& x) { ++detail::LedgerAccess::reserved_storage(x)[ei]; }}, + {"record and holds above the reservation baseline", + [&](FlowLedger& x) { + const Amount over = detail::LedgerAccess::reservation_baseline(x)[ei] + 1; + detail::LedgerAccess::reserved_storage(x)[ei] += over; + auto& live = const_cast(detail::LedgerAccess::live(x, rec.flow_id.second)); + live.reserved_edges.emplace_back(e, over); + }}, + {"record and holds below zero", + [&](FlowLedger& x) { + detail::LedgerAccess::reserved_storage(x)[ei] -= 1; + auto& live = const_cast(detail::LedgerAccess::live(x, rec.flow_id.second)); + live.reserved_edges.emplace_back(e, -1); + }}, }; for (const auto& [name, breaks] : ledgers) { FlowLedger x(fg); @@ -398,9 +419,11 @@ TEST(LedgerFaults, EveryAllocationOfAResetFailsAtomically) { const auto dag = all_edges(*c.g); const auto with_orphan = [&] { auto fg = std::make_unique(c.g); - // The policy is destroyed without remove(): its record is an orphan. + // The policies are destroyed without remove(): their records are orphans, a T1 tunnel's + // with its holds. (void)RoutePolicy(*fg, c.src, c.dst, split_route(*fg, c.src, c.dst, dag, FlowPlacement::EqualBalanced, Admission::Lossless)) .place(2); + (void)FlowPolicy(*fg, v({c.src}), v({c.dst}), FlowPolicyConfig {.routing = CapacityAware {Tunnels {1}}}).replace(0, 1); return fg; }; const std::vector half = [&] { @@ -408,15 +431,19 @@ TEST(LedgerFaults, EveryAllocationOfAResetFailsAtomically) { for (auto& x : r) x /= 2; return r; }(); - for (const bool to_capacities : {true, false}) { - const std::string where = c.name + (to_capacities ? " reset()" : " reset(residual)"); + for (const int variant : {0, 1, 2}) { + const std::string where = + c.name + (variant == 0 ? " reset()" : variant == 1 ? " reset(residual)" : " reset(residual, unreserved)"); const auto reset = [&](FlowLedger& fg) { - if (to_capacities) { + if (variant == 0) { fg.reset(); - } else { + } else if (variant == 1) { fg.reset(half); + } else { + fg.reset(half, half); } }; + const bool to_capacities = variant == 0; const auto ref = with_orphan(); const LedgerState initial = ledger_state(*ref); ASSERT_FALSE(initial.records.empty()) << where; // something to clear @@ -426,6 +453,10 @@ TEST(LedgerFaults, EveryAllocationOfAResetFailsAtomically) { c.g->capacity_units().end()) : half) << where; + EXPECT_EQ(want.unreserved, variant == 2 ? half + : std::vector(c.g->capacity_units().begin(), c.g->capacity_units().end())) + << where; + EXPECT_EQ(want.reserved, std::vector(half.size(), 0)) << where; long injected = 0; for (long at = 0;; ++at) { const std::string w = where + " allocation " + std::to_string(at); @@ -463,15 +494,20 @@ TEST(LedgerFaults, EveryAllocationOfALedgerConstructionFailsWithoutALeak) { const std::vector capacities(c.g->capacity_units().begin(), c.g->capacity_units().end()); std::vector half = capacities; for (auto& x : half) x /= 2; - for (const bool from_residual : {false, true}) { - const std::string where = c.name + (from_residual ? " FlowLedger(graph, residual)" : " FlowLedger(graph)"); + for (const int variant : {0, 1, 2}) { + const bool from_residual = variant != 0; + const std::string where = c.name + (variant == 0 ? " FlowLedger(graph)" + : variant == 1 ? " FlowLedger(graph, residual)" + : " FlowLedger(graph, residual, unreserved)"); long injected = 0; for (long at = 0;; ++at) { const std::string w = where + " allocation " + std::to_string(at); std::optional fg; const long live = g_live.load(); if (!fails_at(at, [&] { - if (from_residual) { + if (variant == 2) { + fg.emplace(c.g, half, half); + } else if (from_residual) { fg.emplace(c.g, half); } else { fg.emplace(c.g); @@ -479,7 +515,9 @@ TEST(LedgerFaults, EveryAllocationOfALedgerConstructionFailsWithoutALeak) { })) { ASSERT_TRUE(fg.has_value()) << w; EXPECT_EQ(fg->residual(), from_residual ? half : capacities) << w; + EXPECT_EQ(fg->unreserved(), variant == 2 ? half : capacities) << w; EXPECT_EQ(fg->allocated(), std::vector(capacities.size(), 0)) << w; + EXPECT_EQ(fg->reserved(), std::vector(capacities.size(), 0)) << w; EXPECT_TRUE(fg->records().empty()) << w; break; } @@ -488,7 +526,9 @@ TEST(LedgerFaults, EveryAllocationOfALedgerConstructionFailsWithoutALeak) { EXPECT_EQ(g_live.load(), live) << w << ": a leak"; if (::testing::Test::HasFailure()) return; } - EXPECT_GE(injected, 2) << where; // the baseline and the aggregate (MSVC's maps add their own) + // The service baseline and aggregate, and the reservation baseline when one is given (the + // holds and a default reservation baseline cost nothing until a hold); MSVC's maps add their own. + EXPECT_GE(injected, variant == 2 ? 3 : 2) << where; } } } @@ -504,21 +544,28 @@ TEST(LedgerFaults, EveryAllocationOfALedgerCopyOrMoveFailsWithoutALeak) { // A baseline below the capacities: a ledger that rebuilt its baseline from them would differ. std::vector half(c.g->capacity_units().begin(), c.g->capacity_units().end()); for (auto& x : half) x /= 2; - FlowLedger fg(c.g, half); + FlowLedger fg(c.g, half, half); { RoutePolicy first(fg, c.src, c.dst, split_route(fg, c.src, c.dst, dag, FlowPlacement::EqualBalanced, Admission::Lossless)); (void)first.place(1); RoutePolicy second(fg, c.src, c.dst, split_route(fg, c.src, c.dst, dag, FlowPlacement::Weighted, Admission::Lossy)); (void)second.place(2); - } // two orphans: a copy may only be taken of a ledger without bound policies + FlowPolicy holds(fg, v({c.src}), v({c.dst}), FlowPolicyConfig {.routing = CapacityAware {Tunnels {1}}}); + (void)holds.replace(0, 1); + } // three orphans (one with holds): a copy may only be taken of a ledger without bound policies const LedgerState source = ledger_state(fg); + // Both baselines (a ledger that rebuilt one from the capacities would differ). const auto baseline_of = [](const FlowLedger& x) { const auto b = LedgerAccess::baseline(x); - return std::vector(b.begin(), b.end()); + const auto r = LedgerAccess::reservation_baseline(x); + std::vector out(b.begin(), b.end()); + out.insert(out.end(), r.begin(), r.end()); + return out; }; const std::vector source_baseline = baseline_of(fg); const auto fg_uid = fg.uid(); - ASSERT_EQ(source.records.size(), 2U) << c.name; + ASSERT_EQ(source.records.size(), 3U) << c.name; + ASSERT_GT(std::accumulate(source.reserved.begin(), source.reserved.end(), Amount {0}), 0) << c.name; long injected = 0; for (long at = 0;; ++at) { const std::string w = c.name + " allocation " + std::to_string(at); diff --git a/tests/cpp/flow_ledger_tests.cpp b/tests/cpp/flow_ledger_tests.cpp index 30e39f0..ab58b39 100644 --- a/tests/cpp/flow_ledger_tests.cpp +++ b/tests/cpp/flow_ledger_tests.cpp @@ -145,7 +145,7 @@ TEST(FlowLedger, BoundNoFlowsRow) { EXPECT_TRUE(fg.records().empty()); EXPECT_FALSE(p.infinite()); EXPECT_TRUE(p.requested().is_zero()); - // A positive request creates the cohort (new id), routes_changed true. + // A positive request creates the flow (new id), routes_changed true. r = p.place(2); EXPECT_EQ(r.placed, 2); EXPECT_TRUE(r.routes_changed); @@ -228,7 +228,7 @@ TEST(FlowLedger, BoundWithFlowsRowAndEpochs) { p.remove(); // the epoch resets: the request of 1 is gone EXPECT_TRUE(p.requested().is_zero()); EXPECT_FALSE(p.infinite()); - p.remove(); // again, on an empty cohort: nothing changes + p.remove(); // again, with no flow: nothing changes EXPECT_TRUE(fg.records().empty()); EXPECT_TRUE(p.requested().is_zero()); EXPECT_FALSE(p.infinite()); @@ -285,7 +285,11 @@ TEST(FlowLedger, CopyAndMoveCarryTheWholeLedger) { std::vector baseline(4); const Amount by_input[4] = {9, 8, 1, 9}; for (std::size_t i = 0; i < 4; ++i) baseline[static_cast(inv[i])] = by_input[i]; - FlowLedger fg(g, baseline); + // A reservation baseline below the capacities: 7, 7, 1, 7 by input. + std::vector reservation(4); + const Amount reserve_by_input[4] = {7, 7, 1, 7}; + for (std::size_t i = 0; i < 4; ++i) reservation[static_cast(inv[i])] = reserve_by_input[i]; + FlowLedger fg(g, baseline, reservation); { RoutePolicy lossy(fg, 0, 3, split_route(fg, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy)); (void)lossy.place(10); // owner 0, FlowId 0: delivers 6, drops 4 on the 1 -> 3 edge @@ -294,33 +298,42 @@ TEST(FlowLedger, CopyAndMoveCarryTheWholeLedger) { removed.remove(); RoutePolicy lossless(fg, 0, 3, on_support(all_edges(*g))); (void)lossless.place(2); // owner 2, FlowId 2 - } // three orphaned owners, two records: a copy or a move needs a ledger without bound policies + // owner 3, FlowId 3: one T1 tunnel over 0 -> 2 -> 3 holding 5 (the request filters out the + // 1-unit link 1 -> 3), carrying nothing. + FlowPolicy holds(fg, v({0}), v({3}), FlowPolicyConfig {.routing = CapacityAware {Tunnels {1}}}); + (void)holds.replace(0, 5); + } // four orphaned owners, three records: a copy or a move needs a ledger without bound policies const LedgerState source = ledger_state(fg); const std::vector source_baseline = vec(LedgerAccess::baseline(fg)); + const std::vector source_reservation = vec(LedgerAccess::reservation_baseline(fg)); // The source is what the comment above says, so that each part below can differ. - ASSERT_EQ(source.records.size(), 2u); + ASSERT_EQ(source.records.size(), 3u); + EXPECT_EQ(source.records[2].reserved_edges, (std::vector> {{inv[1], 5}, {inv[3], 5}})); + EXPECT_EQ(source.reserved[static_cast(inv[1])], 5); + EXPECT_EQ(source_reservation, reservation); EXPECT_TRUE(source.records[0].offered.has_value()); EXPECT_EQ(source.records[0].delivered, 6); EXPECT_EQ(source.records[0].drops, (std::vector>{{inv[2], Counter128 {0, 4}}})); EXPECT_FALSE(source.records[1].offered.has_value()); EXPECT_EQ(source.records[1].flow_id.second, 2); - EXPECT_EQ(source.next_id, 3); + EXPECT_EQ(source.next_id, 4); EXPECT_TRUE(source.bound.empty()); - EXPECT_EQ(source.orphans, (std::vector{0, 1, 2})); + EXPECT_EQ(source.orphans, (std::vector{0, 1, 2, 3})); EXPECT_NE(source_baseline, vec(g->capacity_units())); EXPECT_NE(source.allocated, std::vector(4, 0)); - // Everything the source held, then the next policy: it gets the next owner id (3) and the next - // FlowId. + // Everything the source held (both baselines and both projections), then the next policy: it + // gets the next owner id (4) and the next FlowId. auto expect_whole = [&](FlowLedger& x, const std::string& what) { expect_same(ledger_state(x), source, what); EXPECT_EQ(vec(LedgerAccess::baseline(x)), source_baseline) << what; + EXPECT_EQ(vec(LedgerAccess::reservation_baseline(x)), source_reservation) << what; RoutePolicy next(x, 0, 3, on_support(all_edges(*g))); EXPECT_EQ(next.place(1).placed, 1) << what; ASSERT_TRUE(next.flow_id().has_value()) << what; EXPECT_EQ(next.flow_id()->second, source.next_id) << what; - EXPECT_EQ(x.record(*next.flow_id()).owner, 3) << what; - EXPECT_EQ(LedgerAccess::bound_owners(x), (std::vector{3})) << what; + EXPECT_EQ(x.record(*next.flow_id()).owner, 4) << what; + EXPECT_EQ(LedgerAccess::bound_owners(x), (std::vector{4})) << what; next.remove(); }; @@ -346,11 +359,14 @@ TEST(FlowLedger, CopyAndMoveCarryTheWholeLedger) { {"capacity_units", [&] { (void)fg.capacity_units(); }}, {"residual", [&] { (void)fg.residual(); }}, {"allocated", [&] { (void)fg.allocated(); }}, + {"reserved", [&] { (void)fg.reserved(); }}, + {"unreserved", [&] { (void)fg.unreserved(); }}, {"records", [&] { (void)fg.records(); }}, {"record", [&] { (void)fg.record(some); }}, {"bottleneck", [&] { (void)fg.bottleneck(sources); }}, {"reset", [&] { fg.reset(); }}, {"reset(residual)", [&] { fg.reset(baseline_again); }}, + {"reset(residual, unreserved)", [&] { fg.reset(baseline_again, baseline_again); }}, {"copy", [&] { FlowLedger again(fg); }}, {"move", [&] { FlowLedger again(std::move(fg)); }}, {"bind", [&] { (void)LedgerAccess::bind(fg); }}, @@ -361,6 +377,51 @@ TEST(FlowLedger, CopyAndMoveCarryTheWholeLedger) { // NOLINTEND(bugprone-use-after-move) } +// The commit checks holds against the reservation baseline exactly as it checks carried load +// against the service baseline, in its own pass after the carried one, and publishes both or +// neither: a hold above R0, a negative hold, and a draft whose load is infeasible (its holds +// fine) each throw with nothing changed; the exchange releases the owner's old holds before the +// check; detach releases both projections. +TEST(FlowLedger, HoldsAreCheckedAgainstTheReservationBaseline) { + auto g = shared(make_graph(2, {{0, 1, 10, 1}})); + FlowLedger fg(g, std::vector {10}, std::vector {6}); + const auto owner = LedgerAccess::bind(fg); + auto draft = [&](Amount load, Amount hold) { + detail::Draft d; + d.record.sources = {0}; + d.record.destinations = {1}; + d.record.bundle = all_edges(*g); + if (load != 0) d.record.edges = {{0, load}}; + if (hold != 0) d.record.reserved_edges = {{0, hold}}; + return d; + }; + const LedgerState empty = ledger_state(fg); + for (const auto& [load, hold, text] : + {std::tuple {Amount {2}, Amount {7}, std::string("ledger: infeasible reservation on edge 0 (7 of 6)")}, + std::tuple {Amount {2}, Amount {-1}, std::string("ledger: a negative hold in a commit")}, + std::tuple {Amount {11}, Amount {6}, std::string("ledger: infeasible commit on edge 0 (11 of 10)")}}) { + std::vector ds {draft(load, hold)}; + EXPECT_EQ(logic_error_of([&] { (void)LedgerAccess::commit(fg, owner, ds); }), text); + expect_same(ledger_state(fg), empty, text); + } + std::vector ds {draft(2, 6)}; + const auto ids = LedgerAccess::commit(fg, owner, ds); + EXPECT_EQ(fg.reserved(), (std::vector {6})); + EXPECT_EQ(fg.unreserved(), (std::vector {0})); + EXPECT_EQ(fg.allocated(), (std::vector {2})); + // An exchange retires the old record and its hold before checking the new one's: 6 again fits. + std::vector again {draft(3, 6)}; + (void)LedgerAccess::exchange(fg, owner, again); + EXPECT_EQ(fg.reserved(), (std::vector {6})); + EXPECT_EQ(fg.allocated(), (std::vector {3})); + EXPECT_EQ(LedgerAccess::live(fg, ids[0].second + 1).reserved_edges, (std::vector> {{0, 6}})); + (void)LedgerAccess::detach(fg, owner); + EXPECT_EQ(fg.reserved(), (std::vector {0})); + EXPECT_EQ(fg.allocated(), (std::vector {0})); + expect_balanced(fg, "after detach"); + LedgerAccess::release(fg, owner); +} + TEST(FlowLedger, FlowIdsOfOtherLedgersAndUnknownIds) { auto g = shared(make_graph(2, {{0, 1, 5, 1}})); FlowLedger a(g), b(g); diff --git a/tests/cpp/flow_policy_fault_tests.cpp b/tests/cpp/flow_policy_fault_tests.cpp index fd01060..a54762e 100644 --- a/tests/cpp/flow_policy_fault_tests.cpp +++ b/tests/cpp/flow_policy_fault_tests.cpp @@ -31,6 +31,7 @@ #include #include #include +#include #include #include #include @@ -72,14 +73,16 @@ struct Mode { FlowPolicyConfig cfg; std::vector sources; std::vector destinations; - // The evaluators' offer (a Pinned Lossy evaluation requires a finite one). + // The evaluators' offer (a T1 or Pinned Lossy evaluation requires a finite one). std::optional> offered {}; + // T1's design: the evaluators' design_demand and the design of its calls. + std::optional> design {}; }; // The evaluators' options of a mode. QueryOptions query_of(const Mode& m, const Eligibility* elig = nullptr, DagCache* cache = nullptr, OutputOptions outputs = {}) { - return QueryOptions {m.cfg, elig, cache, outputs, m.offered}; + return QueryOptions {m.cfg, elig, cache, outputs, m.design, m.offered}; } // A Pinned Lossy forwarding needs a finite offer (no first-hop experiment). @@ -91,7 +94,6 @@ std::vector modes(const Graph& g) { std::vector out; const auto det = PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity); const auto res = PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Residual); - const auto tunnel = PathSelection(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, false); const std::vector S = {0, 1}; const std::vector D = {5, 6}; out.push_back({"costonly maxflow", {CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossless, det}, S, D}); @@ -106,20 +108,6 @@ std::vector modes(const Graph& g) { {CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Residual, false, false)}, S, D}); - CapacityAware grow; - grow.flow_count = 1; - grow.max_flow_count = 4; - out.push_back({"capacityaware eb growth", {grow, FlowPlacement::EqualBalanced, Admission::Lossless, tunnel}, S, D}); - CapacityAware reopt; - reopt.flow_count = 2; - reopt.reoptimize = true; - reopt.max_path_cost = Stretch {2.0}; - out.push_back({"capacityaware maxflow reopt", {reopt, FlowPlacement::MaxFlow, Admission::Lossless, det}, S, D}); - CapacityAware dim; - dim.flow_count = 1; - dim.diminishing = DiminishingReturns {1, 0.5}; - dim.min_flow_bandwidth = 1; - out.push_back({"capacityaware weighted diminishing", {dim, FlowPlacement::Weighted, Admission::Lossless, res}, S, D}); out.push_back({"global", global_config(), S, D}); // The equal origin of the controllers: the bisection's probe solves and the final solve. out.push_back({"global equal", {.routing = Global {}, .origin = Origin::Equal}, S, D}); @@ -170,6 +158,22 @@ std::vector modes(const Graph& g) { return out; } +// T1's modes: they take no place, so their sweeps are their own (T1 below). Lossless with two +// tunnels per head; Lossy with three, PreferHigherPriority on the unreserved view without parallel +// links, a Stretch ceiling and a search minimum. +std::vector t1_modes() { + const std::vector S = {0, 1}; + const std::vector D = {5, 6}; + std::vector out; + out.push_back({"t1 lossless", {.routing = CapacityAware {Tunnels {2}}}, S, D, std::nullopt, Amount {8}}); + out.push_back({"t1 lossy", + {.routing = CapacityAware {Tunnels {3}, Stretch {2.0}, 1}, + .admission = Admission::Lossy, + .selection = PathSelection(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, false)}, + S, D, Amount {6}, Amount {9}}); + return out; +} + struct Scenario { std::vector> before; std::optional call; @@ -285,12 +289,11 @@ TEST(PolicyFaults, EveryFullOfferCallFailsAtomically) { for (const auto& m : modes(*g)) { const bool lossy = m.cfg.admission == Admission::Lossy; const bool pinned = std::holds_alternative(m.cfg.routing); - const bool program = !std::holds_alternative(m.cfg.routing); - std::vector ops = {{"evaluate", [](FlowPolicy& p) { return p.evaluate(6, {true, true, true}); }}, - {"replace", [](FlowPolicy& p) { return p.replace(6, {true, true, true}); }}, + std::vector ops = {{"evaluate", [](FlowPolicy& p) { return p.evaluate(6, std::nullopt, {true, true, true}); }}, + {"replace", [](FlowPolicy& p) { return p.replace(6, std::nullopt, {true, true, true}); }}, {"replace to zero", [](FlowPolicy& p) { return p.replace(0); }}}; if (!lossy) ops.push_back({"replace +inf", [](FlowPolicy& p) { return p.replace(std::nullopt); }}); - if (program && !pinned) { + if (!pinned) { ops.push_back({"forward", [](FlowPolicy& p) { return p.forward(6, nullptr, {true, true, true}); }}); ops.push_back({"forward black holes", [&](FlowPolicy& p) { return p.forward(6, &dark); }}); } @@ -779,8 +782,8 @@ TEST(PolicyFaults, EvaluatorsLeaveNoPoisonedScratch) { const Eligibility no_bypass = without_bypass(*g); const Eligibility no_cross = without_cross(*g); const std::int32_t one[] = {1}; - const std::vector exhaustive_sensitivity = {"costonly eb", "capacityaware weighted diminishing", "global", - "pinned eb split routes", "pinned tunnels lossy"}; + const std::vector exhaustive_sensitivity = {"costonly eb", "global", "pinned eb split routes", + "pinned tunnels lossy"}; int swept_sensitivity = 0; long attempts = 0; for (const auto& m : modes(*g)) { @@ -851,7 +854,7 @@ TEST(PolicyFaults, EvaluatorsLeaveNoPoisonedScratch) { } } RecordProperty("allocation_attempts", std::to_string(attempts)); - EXPECT_EQ(swept_sensitivity, 4 * 2 + 3); // four modes with two option sets, CostOnly's with three + EXPECT_EQ(swept_sensitivity, 3 * 2 + 3); // three modes with two option sets, CostOnly's with three } TEST(PolicyFaults, BatchWorkersFailWithoutTerminating) { @@ -1298,3 +1301,251 @@ TEST(PolicyFaults, WorkersSharingAFrozenCacheFailCleanly) { std::invalid_argument); EXPECT_EQ(cache.stats().entries, entries); } + +// ---------------------------------------------------------------- T1 + +// T1's calls (replace, evaluate, replace(0), replace(+inf), forward with and without black holes, +// and two whose holds change: a replace with a new design and the first replace of a policy) +// with a third party's load and another T1 owner's holds on the ledger: every allocation of the +// call fails once, through the shared placement sweep, which compares both projections and every +// record field (reserved_edges included): a failure changes neither the ledger nor the epoch and +// leaves no allocation live; the completing call, the retry and remove() leave the ledger as the +// reference's do. +TEST(PolicyFaults, T1CallsFailAtomically) { + const auto g = graph(); + const auto inv = id_of_input(*g); + const EdgeId dark_edges[] = {inv[4], inv[6]}; + const Eligibility dark = g->eligibility({}, dark_edges); + const OutputOptions all {.edge_flows = true, .residual = true, .bottleneck = true, .reservation_edge_flows = true}; + struct Op { + std::string name; + std::function call; + bool fresh {false}; // on a policy without a call: every hold is new + }; + for (const auto& m : t1_modes()) { + const bool lossy = m.cfg.admission == Admission::Lossy; + const auto design = *m.design; + std::vector ops = {{"evaluate", [&](FlowPolicy& p) { return p.evaluate(6, design, all); }}, + {"replace", [&](FlowPolicy& p) { return p.replace(6, design, all); }}, + {"replace to zero", [&](FlowPolicy& p) { return p.replace(0, design); }}, + {"forward", [](FlowPolicy& p) { return p.forward(6, nullptr, {true, true, true}); }}, + {"forward black holes", [&](FlowPolicy& p) { return p.forward(6, &dark); }}, + // The holds change: a failed commit must leave the old ones. + {"replace with a new design", + [&](FlowPolicy& p) { return p.replace(6, std::optional {*design + 2}, all); }}, + {"first replace", [&](FlowPolicy& p) { return p.replace(6, design, all); }, true}}; + if (!lossy) ops.push_back({"replace +inf", [&](FlowPolicy& p) { return p.replace(std::nullopt, design); }}); + for (const auto& op : ops) { + const std::string where = m.name + " / " + op.name; + const auto setup = [&](FlowLedger& fg) { + auto third = std::shared_ptr(third_party(fg, *g)); + auto holder = std::make_shared(fg, std::vector {1}, std::vector {6}, + FlowPolicyConfig {.routing = CapacityAware {Tunnels {1}}}); + (void)holder->replace(0, 2); + auto p = std::make_shared(fg, m.sources, m.destinations, m.cfg); + if (!op.fresh) (void)p->replace(3, design); + FlowPolicy* policy = p.get(); + auto keep = std::make_shared>>( + std::vector> {std::move(third), std::move(holder), std::move(p)}); + return Staged {keep, policy}; + }; + const long injected = sweep_placement(g, where, setup, op.call); + if (::testing::Test::HasFailure()) return; + EXPECT_GT(injected, 0) << where; // not vacuous + } + } +} + +// A T1 policy's construction (the roster, the pool baseline, the replay basis of its exclusions) +// fails at every allocation without binding; a clean construction then sets up like the +// reference. +TEST(PolicyFaults, T1ConstructionFailsWithoutBinding) { + const auto g = graph(); + const Eligibility no_bypass = without_bypass(*g); + for (const auto& m : t1_modes()) { + for (const Eligibility* elig : {static_cast(nullptr), &no_bypass}) { + const std::string variant = m.name + (elig != nullptr ? " eligibility" : ""); + FlowLedger rf(g); + FlowPolicy pr(rf, m.sources, m.destinations, m.cfg, elig); + const PlacementResult want = pr.replace(2, *m.design); + const LedgerState placed = ledger_state(rf); + long injected = 0; + for (long at = 0;; ++at) { + const std::string w = variant + " construction allocation " + std::to_string(at); + const long live = g_live.load(); + { + FlowLedger fg(g); + const LedgerState before = ledger_state(fg); + std::optional p; + if (!fails_at(at, [&] { p.emplace(fg, m.sources, m.destinations, m.cfg, elig); })) { + EXPECT_EQ(LedgerAccess::bound_owners(fg).size(), 1U); + break; + } + ++injected; + EXPECT_FALSE(p.has_value()) << w; + expect_same(ledger_state(fg), before, w); + p.emplace(fg, m.sources, m.destinations, m.cfg, elig); + expect_same(p->replace(2, *m.design), want, w); + expect_same(ledger_state(fg), placed, w); + expect_balanced(fg, w); + } + EXPECT_EQ(g_live.load(), live) << w << ": a leak"; + if (::testing::Test::HasFailure()) return; + } + EXPECT_GT(injected, 0) << variant; + } + } +} + +// T1's evaluators (capacity: setup and forwarding on a fresh ledger; batch_capacity; sensitivity: +// setup redone under every deletion) under the shared evaluator sweeps, one worker exhaustively +// and several workers in their threads. +TEST(PolicyFaults, T1EvaluatorsLeaveNoPoisonedScratch) { + const auto g = graph(); + const Eligibility no_bypass = without_bypass(*g); + const Eligibility no_cross = without_cross(*g); + const std::int32_t one[] = {1}; + const std::int32_t several[] = {2, 3}; + long attempts = 0; + for (const auto& m : t1_modes()) { + for (const auto& o : option_sets(no_bypass, no_cross)) { + if (o.cache) continue; // T1 rejects a cache + const std::string name = m.name + " capacity" + o.name; + const auto want = capacity(*g, m.sources, m.destinations, query_of(m, o.elig, nullptr, {true, true, true})); + long injected = 0; + for (long at = 0;; ++at) { + const long live = g_live.load(); + bool failed = false; + { + PlacementResult got; + failed = fails_at(at, [&] { got = capacity(*g, m.sources, m.destinations, query_of(m, o.elig, nullptr, {true, true, true})); }); + if (failed) { + ++injected; + expect_same(capacity(*g, m.sources, m.destinations, query_of(m, o.elig, nullptr, {true, true, true})), want, + name + " retry"); + } else { + expect_same(got, want, name); + } + } + EXPECT_EQ(g_live.load(), live) << name << " allocation " << at << ": a leak"; + if (!failed || ::testing::Test::HasFailure()) break; + } + EXPECT_GT(injected, 0) << name; + attempts += injected + sweep_batch(m, *g, one, 1, o) + sweep_sensitivity(m, *g, one, 1, o); + attempts += sweep_sensitivity(m, *g, several, 7, o); + if (::testing::Test::HasFailure()) return; + } + } + RecordProperty("allocation_attempts", std::to_string(attempts)); +} + +// remove() and the destruction of a T1 policy allocate nothing: remove() takes the records and the +// holds away; the destruction leaves both projections as orphans and the policy no longer bound. +TEST(PolicyFaults, T1RemovalAndReleaseNeverAllocate) { + const auto g = graph(); + for (const auto& m : t1_modes()) { + FlowLedger fg(g); + auto p = std::make_unique(fg, m.sources, m.destinations, m.cfg); + (void)p->replace(4, *m.design); + ASSERT_FALSE(fg.records().empty()) << m.name; + EXPECT_FALSE(fails_at(0, [&] { p->remove(); })) << m.name; + EXPECT_TRUE(fg.records().empty()) << m.name; + EXPECT_EQ(fg.reserved(), std::vector(fg.reserved().size(), 0)) << m.name; + (void)p->replace(2, *m.design); + const LedgerState held = ledger_state(fg); + ASSERT_GT(std::accumulate(held.reserved.begin(), held.reserved.end(), Amount {0}), 0) << m.name; + EXPECT_FALSE(fails_at(0, [&] { p.reset(); })) << m.name; + const LedgerState orphaned = ledger_state(fg); + EXPECT_EQ(orphaned.allocated, held.allocated) << m.name; + EXPECT_EQ(orphaned.reserved, held.reserved) << m.name; + EXPECT_EQ(orphaned.records.size(), held.records.size()) << m.name; + EXPECT_TRUE(orphaned.bound.empty()) << m.name; + } +} + +// T1's commit books the holds through the reservation projection's own per-thread scratch, so the +// shared placement sweep (whose reference call has already grown this thread's scratch) does not +// reach its growth. Here each attempt runs on a new thread whose scratch is cold, or has first +// served a T1 replace on a 3-node chain (small to large); the swept replace on a 3000-node chain +// fails at its at-th allocation and changes neither projection, no record and not the epoch, and a +// retry on the same thread gives the reference's result, ledger and epoch. With `prior`, the policy +// already holds an earlier design (set up on another thread, so the attempt's scratch stays as it +// was) and the swept call replaces those holds. The same call on a thread whose scratch has grown to +// the large chain allocates less: the sweep reached the growth. +void expect_t1_hold_scratch_growth(const std::string& name, bool from_small, bool prior) { + SCOPED_TRACE(name); + const auto small = chain_graph(3, 5); + const auto large = chain_graph(3000, 5); + const NodeId last = large->num_nodes() - 1; + const FlowPolicyConfig cfg {.routing = CapacityAware {Tunnels {2}}}; + const auto make = [&](FlowLedger& fg) { + auto p = std::make_unique(fg, std::vector {0}, std::vector {last}, cfg); + if (prior) std::thread([&] { (void)p->replace(2, 2); }).join(); + return p; + }; + const OutputOptions holds {.reservation_edge_flows = true}; + const auto call = [&](FlowPolicy& p) { return p.replace(4, 4, holds); }; + PlacementResult want; + LedgerState want_state; + Epoch want_epoch; + { + FlowLedger fg(large); + auto p = make(fg); + want = call(*p); + want_state = ledger_state(fg); + want_epoch = epoch(*p); + } + // Both tunnels up, each holding 2 on every link: the comparison is not of zeros. + ASSERT_EQ(want_state.reserved, std::vector(want_state.reserved.size(), 4)); + ASSERT_EQ(want.placed, 4); + sweep_scratch_growth( + name, + [&] { + if (!from_small) return; + FlowLedger fg(small); + FlowPolicy p(fg, std::vector {0}, std::vector {2}, cfg); + EXPECT_EQ(p.replace(4, 4).placed, 4); + }, + [&](long at, const std::string& w) { + FlowLedger fg(large); + auto p = make(fg); + const LedgerState before = ledger_state(fg); + const Epoch before_epoch = epoch(*p); + PlacementResult got; + const bool failed = fails_at(at, [&] { got = call(*p); }); + if (failed) { + expect_same(ledger_state(fg), before, w + " (failed call)"); + expect_same(epoch(*p), before_epoch, w + " (failed call)"); + expect_balanced(fg, w + " (failed call)"); + got = call(*p); + } + expect_same(got, want, w); + expect_same(ledger_state(fg), want_state, w); + expect_same(epoch(*p), want_epoch, w); + expect_balanced(fg, w); + return failed; + }, + [&] { + { + FlowLedger fg(large); + auto p = make(fg); + (void)call(*p); // the scratch grows to the large chain + } + for (long warm = 0;; ++warm) { + FlowLedger fg(large); + auto p = make(fg); + if (!fails_at(warm, [&] { (void)call(*p); })) return warm; + } + }); +} + +TEST(PolicyFaults, T1HoldScratchGrowthFailureLeavesNothingHalfGrown) { + for (const bool prior : {false, true}) { + for (const bool from_small : {false, true}) { + expect_t1_hold_scratch_growth(std::string(prior ? "new design" : "first replace") + + (from_small ? " from small" : " from cold"), + from_small, prior); + if (::testing::Test::HasFailure()) return; + } + } +} diff --git a/tests/cpp/flow_policy_fixture_tests.cpp b/tests/cpp/flow_policy_fixture_tests.cpp index 6ff423c..83acdff 100644 --- a/tests/cpp/flow_policy_fixture_tests.cpp +++ b/tests/cpp/flow_policy_fixture_tests.cpp @@ -1,4 +1,4 @@ -// The 55 fixtures of the independent reference replayed through FlowPolicy. +// The 31 fixtures of the independent reference replayed through FlowPolicy. // // tests/data/policy_fixtures.json was exported from the independent reference (its // frozen copy, the exporter, the regeneration check and the meaning of the data's historical @@ -9,14 +9,12 @@ // its trace (the reference's keys), // the ledger after it (allocations, residuals, every record field, next FlowId, owners) and the // policy state (roster, requested, +inf, placed demand, per source the flows' -// ids, routes, T, deliveries, allocations, members and weights). An operation the reference -// rejects must throw std::invalid_argument here too (the messages differ); any other exception -// is a failure. Normalised on both sides: the T_max probe -// counts, the flow core's operation counters and ledger uids. The trace and the creation cap need -// the private hooks (NETGRAPH_CORE_PRIVATE_HOOKS): without them, in the shipped configuration, the -// replay compares everything but the trace on the 54 fixtures that keep the default cap, and the -// corruption test corrupts what that replay compares: every section but the trace, in those 54 -// fixtures. +// ids, routes, T, deliveries and allocations). An operation the reference rejects must throw +// std::invalid_argument here too (the messages differ); any other exception is a failure. +// Normalised on both sides: the flow core's operation counters and ledger uids. The trace needs +// the private hooks (NETGRAPH_CORE_PRIVATE_HOOKS): without them, in the shipped configuration, +// the replay compares everything but the trace, and the corruption test corrupts what that +// replay compares: every section but the trace. #include #include @@ -285,7 +283,7 @@ const J& data() { TEST(PolicyFixtures, TheDataHoldsEveryReferenceFixture) { const J& d = data(); EXPECT_EQ(d.at("format").s, "p2-fixtures/1"); - EXPECT_EQ(d.at("fixtures").a.size(), 55U); + EXPECT_EQ(d.at("fixtures").a.size(), 31U); } namespace { @@ -407,8 +405,6 @@ Int128 wide(const Counter128& c) { const char* outcome_name(Termination t) { switch (t) { case Termination::Complete: return "complete"; - case Termination::LimitFlows: return "limit_flows"; - case Termination::LimitDiminishing: return "limit_diminishing"; case Termination::NoRoute: return "no_route"; case Termination::Exhausted: return "exhausted"; case Termination::NoActiveWeight: return "no_active_weight"; @@ -513,35 +509,14 @@ J policy_json(const FlowPolicy& policy) { J flows = J::arr(); for (const auto& s : pe.epoch.cohorts[i]) { const FlowRecord& rec = LedgerAccess::live(pe.fg, s.id); - std::vector route; - std::vector members; - if (s.plan) { - route = s.plan->route; - members = s.plan->members; - } else { - const auto e = detail::PredDAGBuilder::ascending(*s.bundle); - route.assign(e.begin(), e.end()); - members = route; - } + const auto e = detail::PredDAGBuilder::ascending(*s.bundle); + const std::vector route(e.begin(), e.end()); J f = J::obj(); f.set("id", J::integer(s.id)); f.set("route", ints(route)); f.set("T", lossy ? J::null() : J::integer(rec.delivered)); f.set("delivered", J::integer(rec.delivered)); f.set("alloc", pairs(rec.edges)); - f.set("members", ints(members)); - if (s.plan && s.plan->placement == FlowPlacement::Weighted) { - J w = J::arr(); - for (std::size_t m = 0; m < s.plan->members.size(); ++m) { - J p = J::arr(); - p.push(J::integer(s.plan->members[m])); - p.push(J::integer(s.plan->weights[m])); - w.push(std::move(p)); - } - f.set("weights", std::move(w)); - } else { - f.set("weights", J::null()); - } flows.push(std::move(f)); } J entry = J::arr(); @@ -570,7 +545,7 @@ J trace_json(const detail::Trace& t) { case K::Map: { J j = J::obj(); for (const auto& [key, x] : t.fields) { - if (key == "evals" || key == "ledger_uid" || key == "counters" || key == "evaluations") continue; + if (key == "ledger_uid" || key == "counters") continue; if ((key == "flow" || key == "flow_id") && x.kind == K::List && x.items.size() == 2) { j.set(key, J::integer(x.items[1].i)); continue; @@ -625,28 +600,6 @@ FlowPolicyConfig config_of(const Graph& g, const J& c) { Global gl; if (const J* support = r.get("support")) gl.support = test::dag_of(g, int32s(*support)); routing = gl; - } else if (kind == "CapacityAware") { - CapacityAware ca; - ca.flow_count = static_cast(r.at("flow_count").int64()); - if (!r.at("max_flow_count").is_null()) ca.max_flow_count = static_cast(r.at("max_flow_count").int64()); - if (!r.at("max_path_cost").is_null()) { - const J& mc = r.at("max_path_cost"); - if (mc.a[0].s == "Absolute") { - ca.max_path_cost = Absolute {mc.a[1].int64()}; - } else if (mc.a[0].s == "Stretch") { - ca.max_path_cost = Stretch {mc.a[1].k == J::K::Dbl ? mc.a[1].d : static_cast(mc.a[1].int64())}; - } else { - throw UnknownName("the data names an unknown cost ceiling (" + mc.a[0].s + ")"); - } - } - ca.min_flow_bandwidth = r.at("min_flow_bandwidth").int64(); - ca.reoptimize = r.at("reoptimize").b; - if (!r.at("diminishing").is_null()) { - const J& d = r.at("diminishing"); - ca.diminishing = DiminishingReturns {static_cast(d.a[0].int64()), - d.a[1].k == J::K::Dbl ? d.a[1].d : static_cast(d.a[1].int64())}; - } - routing = ca; } else if (kind != "CostOnly") { throw UnknownName("the data names an unknown routing (" + kind + ")"); } @@ -678,29 +631,12 @@ FlowPolicyConfig config_of(const Graph& g, const J& c) { return out; } -#if NETGRAPH_CORE_PRIVATE_HOOKS -// Restores the creation cap whatever happens. -struct CapGuard { - std::int64_t old {detail::max_flows_per_call().load()}; - ~CapGuard() { detail::max_flows_per_call().store(old); } -}; -#endif - -// Whether every call of the fixture keeps the default creation cap (without the hooks the cap -// cannot be lowered, so a fixture that lowers it replays only with them). -bool default_cap(const J& fx) { - return std::all_of(fx.at("ops").a.begin(), fx.at("ops").a.end(), [](const J& op) { - const J* cap = op.get("cap"); - return cap == nullptr || cap->int64() == kMaxFlowsPerCall; - }); -} - // Replays one fixture; returns the failures (empty when every value matches). `compared`, when // given, counts the expectations compared. `after_rejected_call`, when given, runs with the // operation's index and its policy right after each call the reference rejects, before the policy // is compared with its state before the call (the negative control of that comparison changes the // policy there). `inside_call`, when given, runs with the operation's index inside the guarded -// part of every ledger, copy, reset, policy and placement operation, before the engine's call (the +// part of every ledger, policy and placement operation, before the engine's call (the // negative control of the rejection rule throws there). The engine rejects an operation with // std::invalid_argument only; any other exception (an internal invariant's std::logic_error, // std::bad_alloc, a reader of the data) is a failure, also where the reference rejects. @@ -709,9 +645,6 @@ std::vector replay(const J& fx, std::size_t* compared = nullptr, const std::function& inside_call = {}) { std::vector fails; const std::string name = fx.at("name").s; -#if NETGRAPH_CORE_PRIVATE_HOOKS - CapGuard guard; -#endif std::vector> graphs; for (const auto& spec : fx.at("graphs").a) { std::vector edges; @@ -775,32 +708,6 @@ std::vector replay(const J& fx, std::size_t* compared = nullptr, } continue; } - if (kind == "copy" || kind == "reset") { - FlowLedger& fg = *ledger_of_id[static_cast(op.at("ledger").int64())]; - bool threw = false; - try { - planted(n); - if (kind == "copy") { - ledgers.emplace_back(fg); - ledger_of_id.push_back(&ledgers.back()); - } else if (op.at("baseline").is_null()) { - fg.reset(); - } else { - fg.reset(amounts(op.at("baseline"))); - } - } catch (const std::invalid_argument&) { - threw = true; - } catch (const std::exception& e) { - return not_a_rejection(where, e); - } - if (threw != error) { - fails.push_back(name + " " + where + (error ? ": accepted, the reference rejects it" : ": throws")); - return fails; - } - const FlowLedger& shown = (kind == "copy" && !error) ? ledgers.back() : fg; - check(where, "ledger", expect->at("ledger"), ledger_json(shown)); - continue; - } if (kind == "policy") { FlowLedger& fg = *ledger_of_id[static_cast(op.at("ledger").int64())]; const auto& g = *fg.graph(); @@ -838,16 +745,11 @@ std::vector replay(const J& fx, std::size_t* compared = nullptr, } const auto pi = static_cast(op.at("policy").int64()); const FlowLedger& fg = *policy_ledger[pi]; - if ((kind == "destroy" || kind == "remove") && error) { - // Neither can fail here, so a reference that rejects one is a difference. + if (kind == "remove" && error) { + // It cannot fail here, so a reference that rejects one is a difference. fails.push_back(name + " " + where + ": accepted, the reference rejects it"); return fails; } - if (kind == "destroy") { - policies[pi] = nullptr; // the destruction law: the records stay as orphans - check(where, "ledger", expect->at("ledger"), ledger_json(fg)); - continue; - } FlowPolicy& pol = *policies[pi]; if (kind == "remove") { pol.remove(); @@ -875,9 +777,6 @@ std::vector replay(const J& fx, std::size_t* compared = nullptr, const auto& o = op.at("outputs").a; outputs = OutputOptions {o[0].b, o[1].b, o[2].b, o[3].b}; } -#if NETGRAPH_CORE_PRIVATE_HOOKS - detail::max_flows_per_call().store(op.at("cap").int64()); -#endif const J policy_before = error ? policy_json(pol) : J::null(); detail::Trace trace; PlacementResult r; @@ -925,7 +824,6 @@ TEST(PolicyFixtures, EveryFixtureReplaysIdentically) { std::size_t compared = 0; // the expectations the replay compared std::size_t replayed = 0; for (const auto& fx : d.at("fixtures").a) { - if (!detail::kTraced && !default_cap(fx)) continue; ++replayed; for (const auto& op : fx.at("ops").a) { if (const J* expect = op.get("expect"); expect != nullptr) { @@ -935,9 +833,8 @@ TEST(PolicyFixtures, EveryFixtureReplaysIdentically) { const auto fails = replay(fx, &compared); for (const auto& f : fails) ADD_FAILURE() << f; } - // With the hooks every fixture; without them all but the one that lowers the creation cap. - EXPECT_EQ(replayed, detail::kTraced ? 55U : 54U); - EXPECT_EQ(sections, detail::kTraced ? 1096U : 864U); // the data's count, not vacuous + EXPECT_EQ(replayed, 31U); + EXPECT_EQ(sections, detail::kTraced ? 693U : 548U); // the data's count, not vacuous EXPECT_EQ(compared, sections); // every expectation was compared, none skipped } @@ -987,21 +884,18 @@ bool reported(const J& fx, const std::string& prefix) { } // The replay's other failure clauses, each reported at the operation it concerns: the first leaf -// of every section of every other operation's expectations (failed placements, policies, copies, -// resets, removals, destructions); the error flag of the first operation of every kind and +// of every section of every other operation's expectations (failed placements, policies, +// removals); the error flag of the first operation of every kind and // outcome in each fixture; the input order of the first graph; an unknown operation; a ledger the // data accepts and the engine rejects; an unknown and a non-integer volume; the curve a Global // zero call reports, against the remembered one; a policy changed by a call the data rejects; // an exception other than a rejection; and a configuration name the replay does not know. -// Without the hooks the fixture that lowers the creation cap is left out, as in the replay test; -// it holds no operation kind or outcome the others lack, so the expected sets are the same. void expect_every_other_clause_reported() { const J& d = data(); std::set sections; // "kind error key" combinations corrupted std::set flags; // "kind error" combinations flipped std::size_t exercised = 0; // fixtures whose clauses were exercised for (const auto& fx : d.at("fixtures").a) { - if (!detail::kTraced && !default_cap(fx)) continue; ++exercised; const std::string name = fx.at("name").s; ASSERT_TRUE(replay(fx).empty()) << name; @@ -1036,13 +930,12 @@ void expect_every_other_clause_reported() { corrupt(*first); EXPECT_TRUE(reported(reordered, name + ": the engine ranks the edges differently")) << name; } - EXPECT_EQ(exercised, detail::kTraced ? 55U : 54U); + EXPECT_EQ(exercised, 31U); // Every section of every other operation kind and outcome in the data, and every flag. - EXPECT_EQ(sections, (std::set {"copy failed ledger", "destroy ok ledger", "place failed ledger", - "policy ok policy", "remove ok ledger", "remove ok policy", - "reset failed ledger", "reset ok ledger"})); - EXPECT_EQ(flags, (std::set {"copy failed", "destroy ok", "ledger ok", "place failed", "place ok", - "policy failed", "policy ok", "remove ok", "reset failed", "reset ok"})); + EXPECT_EQ(sections, (std::set {"place failed ledger", "policy ok policy", "remove ok ledger", + "remove ok policy"})); + EXPECT_EQ(flags, (std::set {"ledger ok", "place failed", "place ok", "policy failed", "policy ok", + "remove ok"})); // Op 3 of global_epochs renamed: an unknown operation. const auto& fixtures = d.at("fixtures").a; const auto& epochs = *std::find_if(fixtures.begin(), fixtures.end(), @@ -1095,12 +988,12 @@ void expect_every_other_clause_reported() { EXPECT_TRUE(test::has_failure(fails, at + ": the rejected call changed the policy")) << at; } } - EXPECT_EQ(rejected_calls, 4U); + EXPECT_EQ(rejected_calls, 3U); // An exception other than std::invalid_argument (an internal invariant's std::logic_error) // thrown inside the first operation of each kind, the first one the data rejects where there // is one: a failure at that operation, never taken for the expected rejection. std::set planted; - for (const std::string kind : {"ledger", "copy", "reset", "policy", "place"}) { + for (const std::string kind : {"ledger", "policy", "place"}) { const J* chosen = nullptr; std::size_t at = 0; for (const auto& fx : fixtures) { @@ -1122,11 +1015,9 @@ void expect_every_other_clause_reported() { const std::string where = chosen->at("name").s + " op " + std::to_string(at) + " (" + kind + ")"; EXPECT_TRUE(test::has_failure(fails, where + ": throws an exception other than a rejection: planted")) << where; } - EXPECT_EQ(planted, - (std::set {"copy failed", "ledger ok", "place failed", "policy failed", "reset failed"})); + EXPECT_EQ(planted, (std::set {"ledger ok", "place failed", "policy failed"})); // A name the replay does not know, in the configuration of eb_unequal_1_10's CostOnly policy - // (op 1) and, for the cost ceiling, of creation_fewer_routes' CapacityAware policy (op 1): a - // failure of the replay, never taken for the engine rejecting the policy. + // (op 1): a failure of the replay, never taken for the engine rejecting the policy. const auto& unequal = *std::find_if(fixtures.begin(), fixtures.end(), [](const J& fx) { return fx.at("name").s == "eb_unequal_1_10"; }); ASSERT_EQ(unequal.at("ops").a[1].at("op").s, "policy"); @@ -1142,17 +1033,6 @@ void expect_every_other_clause_reported() { member(*config, key) = J::str("Unknown"); EXPECT_TRUE(reported(copy, "eb_unequal_1_10 op 1 (policy): the data names an unknown ")) << path; } - const auto& fewer = *std::find_if(fixtures.begin(), fixtures.end(), - [](const J& fx) { return fx.at("name").s == "creation_fewer_routes"; }); - J ceiling = fewer; - auto& routing = member(member(member(ceiling, "ops").a[1], "config"), "routing"); - ASSERT_EQ(routing.at("kind").s, "CapacityAware"); - J bound = J::arr(); - bound.push(J::str("Unknown")); - bound.push(J::integer(5)); - member(routing, "max_path_cost") = std::move(bound); - EXPECT_TRUE( - reported(ceiling, "creation_fewer_routes op 1 (policy): the data names an unknown cost ceiling (Unknown)")); } // The comparison's structural clauses, which the leaf corruptions above never reach: equal @@ -1178,9 +1058,8 @@ void expect_the_comparison_reports_shape_differences() { // section it changes. In the first successful placement of every fixture, each section (result, // trace, ledger, policy) gets several single corruptions: its first and last integer, boolean // and string leaves, and one leaf drawn at random. Then the replay's other clauses and the -// comparison's structural clauses (above). Without the hooks the replay compares no trace and -// leaves out the fixture that lowers the creation cap, so neither is corrupted; the counts below -// are those of each configuration (the random draws come from std::mt19937_64, whose sequence the +// comparison's structural clauses (above). Without the hooks the replay compares no trace, so it +// is not corrupted; the counts below are those of each configuration (the random draws come from std::mt19937_64, whose sequence the // standard fixes, so they are the same with every standard library). TEST(PolicyFixtures, ACorruptedExpectationFails) { const J& d = data(); @@ -1190,7 +1069,6 @@ TEST(PolicyFixtures, ACorruptedExpectationFails) { std::size_t fixtures = 0; // fixtures whose first successful placement was corrupted std::size_t kinds[4] = {0, 0, 0, 0}; // integers, booleans, strings, others for (const auto& fx : d.at("fixtures").a) { - if (!detail::kTraced && !default_cap(fx)) continue; for (std::size_t n = 0; n < fx.at("ops").a.size(); ++n) { const J& op = fx.at("ops").a[n]; if (op.at("op").s != "place" || op.at("error").b) continue; @@ -1262,8 +1140,8 @@ TEST(PolicyFixtures, ACorruptedExpectationFails) { } } RecordProperty("corruptions", static_cast(corrupted)); - EXPECT_EQ(fixtures, detail::kTraced ? 55U : 54U); - EXPECT_EQ(corrupted, detail::kTraced ? 975U : 753U); + EXPECT_EQ(fixtures, 31U); + EXPECT_EQ(corrupted, detail::kTraced ? 518U : 429U); EXPECT_GT(kinds[0], 200U); EXPECT_GT(kinds[1], 50U); EXPECT_GT(kinds[2], 50U); diff --git a/tests/cpp/flow_policy_tests.cpp b/tests/cpp/flow_policy_tests.cpp index 006eca8..9d3d94f 100644 --- a/tests/cpp/flow_policy_tests.cpp +++ b/tests/cpp/flow_policy_tests.cpp @@ -4,10 +4,9 @@ // robin of the cumulative request, the outputs (the bottleneck under the policy's Eligibility), // Global's empty roster, its roster without flow and its zero call's cumulative curve, record // bundles (sparse storage, sharing, pruning), records in FlowId order, one flow to several nearest -// destinations, the reduction of the sources' outcomes, CapacityAware's diminishing guard, path-cost -// ceiling (exact at large costs and factors), stretch baseline and bandwidth floor, and the -// evaluators (capacity, batch_capacity, sensitivity) with workers and their default from the -// environment. The DagCache's own modes and key are tested in dag_cache_tests.cpp. +// destinations, and the evaluators (capacity, batch_capacity, sensitivity) with workers and their +// default from the environment. T1 (CapacityAware) has its own file, tunnels_t1_tests.cpp; the +// DagCache's own modes and key are tested in dag_cache_tests.cpp. #include #include @@ -51,7 +50,7 @@ using namespace netgraph::core::test; namespace { PathSelection sel(EdgeTieBreak t = EdgeTieBreak::Deterministic, EdgePriority p = EdgePriority::Capacity, - bool multipath = true, bool multi_edge = true) { + std::optional multipath = std::nullopt, bool multi_edge = true) { return PathSelection(t, p, multipath, multi_edge); } @@ -61,6 +60,11 @@ FlowPolicyConfig cfg(Routing r, FlowPlacement k, Admission a = Admission::Lossle return FlowPolicyConfig {std::move(r), k, a, s}; } +// A T1 configuration: N tunnels per head, no placement. +FlowPolicyConfig t1(std::int64_t n, Admission a = Admission::Lossless) { + return FlowPolicyConfig {.routing = CapacityAware {Tunnels {n}}, .admission = a}; +} + // Two disjoint routes 0 -> 1 -> 3 (caps a, cost 1) and 0 -> 2 -> 3 (caps b, cost c). EdgeIds: // 0 = 0->1, 1 = 0->2, 2 = 1->3, 3 = 2->3. std::shared_ptr diamond(Amount a, Amount b, Cost c = 1) { @@ -79,10 +83,7 @@ TEST(FlowPolicyConfig, EveryRejectedCombinationBeforeBinding) { EXPECT_TRUE(detail::LedgerAccess::bound_owners(fg).empty()); }; rejects(cfg(CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossy), "MAX_FLOW requires admission=LOSSLESS"); - // CapacityAware's Weighted flows read their weights from the priority (until its tunnel form): - // Headroom is rejected there; CostOnly's weights come from its weight basis. - rejects(cfg(CapacityAware {}, FlowPlacement::Weighted, Admission::Lossless, sel(EdgeTieBreak::Deterministic, EdgePriority::Headroom)), - "the Weighted kernel is rejected with priority Headroom (weights are units)"); + // CostOnly's weights come from its weight basis: Headroom is a priority like the others. EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({3}), cfg(CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, @@ -93,42 +94,28 @@ TEST(FlowPolicyConfig, EveryRejectedCombinationBeforeBinding) { rejects({.routing = Global {}, .placement = FlowPlacement::MaxFlow}, "Global does not accept placement"); rejects({.routing = Global {}, .selection = PathSelection()}, "Global does not accept selection"); rejects({.routing = Global {}, .admission = Admission::Lossy}, "MAX_FLOW requires admission=LOSSLESS"); - rejects(cfg(CapacityAware {}, FlowPlacement::EqualBalanced, Admission::Lossy), - "CapacityAware requires admission=LOSSLESS"); - CapacityAware ca; - ca.flow_count = 0; - rejects(cfg(ca, FlowPlacement::MaxFlow), "CapacityAware flow_count must be >= 1 (got 0)"); - ca = {}; - ca.flow_count = 3; - ca.max_flow_count = 2; - rejects(cfg(ca, FlowPlacement::MaxFlow), "CapacityAware max_flow_count (2) must be >= flow_count (3)"); - ca = {}; - ca.min_flow_bandwidth = -1; - rejects(cfg(ca, FlowPlacement::MaxFlow), "CapacityAware min_flow_bandwidth must be in [0, 2^62) units (got -1)"); - // The upper bound: 2^62 - 1 units is a valid floor, 2^62 is not. - ca.min_flow_bandwidth = kDomainLimit; - rejects(cfg(ca, FlowPlacement::MaxFlow), - "CapacityAware min_flow_bandwidth must be in [0, 2^62) units (got 4611686018427387904)"); - ca.min_flow_bandwidth = kDomainLimit - 1; - EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({3}), cfg(ca, FlowPlacement::MaxFlow)); }), ""); - ca = {}; + // T1: no placement, one exact tunnel count in [1, 10000], the ceiling's and the search minimum's + // own texts (the T1 rows of the matrix are tunnels_t1_tests.cpp's). + rejects({.routing = CapacityAware {Tunnels {2}}, .placement = FlowPlacement::EqualBalanced}, "T1 does not accept placement"); + rejects(t1(0), "tunnel count must be in [1, 10000]"); + rejects({.routing = CapacityAware {Tunnels {2, true}}}, "T1 requires an exact tunnel count"); + CapacityAware ca {Tunnels {1}}; + ca.min_unreserved_bandwidth = -1; + rejects({.routing = ca}, "min_unreserved_bandwidth must be an integer in [0, 2^62)"); + // The upper bound: 2^62 - 1 units is a valid minimum, 2^62 is not. + ca.min_unreserved_bandwidth = kDomainLimit; + rejects({.routing = ca}, "min_unreserved_bandwidth must be an integer in [0, 2^62)"); + ca.min_unreserved_bandwidth = kDomainLimit - 1; + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({3}), {.routing = ca}); }), ""); + fg.reset(); + ca = CapacityAware {Tunnels {1}}; ca.max_path_cost = Absolute {-1}; - rejects(cfg(ca, FlowPlacement::MaxFlow), "max_path_cost Absolute cost must be >= 0 (got -1)"); + rejects({.routing = ca}, "max_path_cost Absolute cost must be >= 0 (got -1)"); for (const auto& [f, shown] : {std::pair {0.5, "0.500000"}, std::pair {std::numeric_limits::quiet_NaN(), "nan"}, std::pair {std::numeric_limits::infinity(), "inf"}}) { - ca = {}; + ca = CapacityAware {Tunnels {1}}; ca.max_path_cost = Stretch {f}; - rejects(cfg(ca, FlowPlacement::MaxFlow), - std::string("max_path_cost Stretch factor must be finite and in [1, inf) (got ") + shown + ")"); - } - ca = {}; - ca.diminishing = DiminishingReturns {0, 0.5}; - rejects(cfg(ca, FlowPlacement::MaxFlow), "diminishing window must be >= 1 (got 0)"); - for (const auto& [f, shown] : {std::pair {0.0, "0.000000"}, std::pair {1.0, "1.000000"}, - std::pair {std::numeric_limits::quiet_NaN(), "nan"}}) { - ca = {}; - ca.diminishing = DiminishingReturns {1, f}; - rejects(cfg(ca, FlowPlacement::MaxFlow), std::string("diminishing fraction must be in (0, 1) (got ") + shown + ")"); + rejects({.routing = ca}, std::string("max_path_cost Stretch factor must be finite and in [1, inf) (got ") + shown + ")"); } // Pinned: a program of this graph whose endpoints are the policy's, and no field of a model that // computes. @@ -156,7 +143,7 @@ TEST(FlowPolicyConfig, EveryRejectedCombinationBeforeBinding) { const auto el = other->eligibility({}, std::vector {0}); EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({3}), cfg(CostOnly {}, FlowPlacement::MaxFlow), &el); }), "foreign Eligibility: built for another graph"); - // The endpoints come before the ownership of the mask and the cache (contract r8 14.3). + // The endpoints come before the ownership of the mask and the cache (contract 14.3). DagCache foreign_first(*other); EXPECT_EQ(error_of([&] { FlowPolicy p(fg, std::vector {}, v({3}), cfg(CostOnly {}, FlowPlacement::MaxFlow), &el, @@ -208,7 +195,7 @@ TEST(FlowPolicyConfig, EnumValuesOutsideTheirEnumerationAreRejected) { auto priority_sel = sel(); priority_sel.priority = bad_priority; const Pinned pinned = pinned_dags(*g, 0, 3, {dag_of(*g, {0, 2})}); - const std::vector modes = {CostOnly {}, CapacityAware {}, Global {}, pinned}; + const std::vector modes = {CostOnly {}, CapacityAware {Tunnels {1}}, Global {}, pinned}; struct Bad { std::function make; const char* field; @@ -267,9 +254,10 @@ TEST(FlowPolicyConfig, EnumValuesOutsideTheirEnumerationAreRejected) { // The configuration with several defects at once: one error, the first in FlowPolicyConfig's // order: the enumeration values (placement, admission, origin, the selection's tie_break and // priority, assigned out of their enumerations), then the model's row of the matrix, its columns -// left to right (placement, origin, admission, selection, weights with edge_weights), then the -// DagCache, then CapacityAware's parameters, then edge_weights' length and entries. Exact texts; -// the same first error at construction and at the evaluators; nothing is bound. +// left to right (T1: an "up to" count first; then placement, origin, admission, selection, weights +// with edge_weights), then the DagCache, then T1's parameters, then edge_weights' length and +// entries. Exact texts; the same first error at construction and at the evaluators; nothing is +// bound. TEST(FlowPolicyConfig, SeveralDefectsReportTheFirstInTheContractOrder) { auto g = diamond(5, 5); FlowLedger fg(g); @@ -278,8 +266,8 @@ TEST(FlowPolicyConfig, SeveralDefectsReportTheFirstInTheContractOrder) { const auto bad_tie = static_cast(97); const auto bad_priority = static_cast(96); const auto bad_origin = static_cast(95); - CapacityAware zero; - zero.flow_count = 0; + const CapacityAware zero {Tunnels {0}}; + const CapacityAware zero_up_to {Tunnels {0, true}}; const Pinned pin = pinned_dags(*g, 0, 3, {dag_of(*g, {0, 2})}); const auto weights2 = std::make_shared>(std::vector {1, 1}); const auto too_big = std::make_shared>(std::vector {1, 1, kDomainLimit, -1}); @@ -332,15 +320,15 @@ TEST(FlowPolicyConfig, SeveralDefectsReportTheFirstInTheContractOrder) { "Global does not accept weights"}, {{Global {}, std::nullopt, Admission::Lossless, std::nullopt, std::nullopt, std::nullopt, weights2}, "Global does not accept edge_weights"}, - {{zero, std::nullopt, Admission::Lossy, sel(), Origin::Optimized}, "CapacityAware requires placement"}, - {{zero, FlowPlacement::MaxFlow, Admission::Lossy, sel(), Origin::Optimized}, "T1 requires origin=EQUAL"}, - {{zero, FlowPlacement::MaxFlow, Admission::Lossy, sel(), Origin::Equal}, kLossyKernelError}, - {{zero, FlowPlacement::EqualBalanced, Admission::Lossy}, "CapacityAware requires admission=LOSSLESS"}, - {{zero, FlowPlacement::Weighted, Admission::Lossless, sel(EdgeTieBreak::Deterministic, EdgePriority::Headroom)}, - kHeadroomKernelError}, - {{zero, FlowPlacement::EqualBalanced, Admission::Lossless, sel(), std::nullopt, WeightBasis::Capacity}, - "T1 does not accept weights"}, - {{zero, FlowPlacement::EqualBalanced}, "CapacityAware flow_count must be >= 1 (got 0)"}, + {{zero_up_to, FlowPlacement::MaxFlow, Admission::Lossy, sel(), Origin::Optimized}, "T1 requires an exact tunnel count"}, + {{zero, FlowPlacement::MaxFlow, Admission::Lossy, sel(), Origin::Optimized}, "T1 does not accept placement"}, + {{zero, std::nullopt, Admission::Lossy, sel(), Origin::Optimized}, "T1 requires origin=EQUAL"}, + {{zero, std::nullopt, Admission::Lossy, sel(EdgeTieBreak::Deterministic, EdgePriority::Capacity, true), Origin::Equal}, + "T1 requires multipath=False"}, + {{zero, std::nullopt, Admission::Lossy, sel(), Origin::Equal, WeightBasis::Capacity}, "T1 does not accept weights"}, + {{zero, std::nullopt, Admission::Lossless, sel(), std::nullopt, std::nullopt, weights2}, + "T1 does not accept edge_weights"}, + {{zero, std::nullopt, Admission::Lossy}, "tunnel count must be in [1, 10000]"}, {{pin, FlowPlacement::MaxFlow, Admission::Lossy, sel(), Origin::Equal}, "Pinned does not accept placement"}, {{pin, std::nullopt, Admission::Lossy, sel(), Origin::Equal}, "Pinned does not accept origin"}, {{pin, std::nullopt, Admission::Lossy, sel()}, "Pinned does not accept selection"}, @@ -365,7 +353,8 @@ TEST(FlowPolicyConfig, SeveralDefectsReportTheFirstInTheContractOrder) { const std::vector cached = { {global_config(), "Global does not use DagCache"}, {{Global {}, FlowPlacement::MaxFlow}, "Global does not accept placement"}, - {{CapacityAware {}, FlowPlacement::EqualBalanced}, "T1 does not use DagCache"}, + {{CapacityAware {Tunnels {1}}, FlowPlacement::EqualBalanced}, "T1 does not accept placement"}, + {{.routing = CapacityAware {Tunnels {0}}}, "T1 does not use DagCache"}, {{.routing = pin}, "Pinned does not use DagCache"}, }; for (const auto& k : cached) { @@ -404,7 +393,11 @@ TEST(FlowPolicyConfig, DefaultsResolveAtThePolicy) { EXPECT_FALSE(global.selection.has_value()); EXPECT_FALSE(global.placement.has_value()); EXPECT_EQ(snapshot({.routing = Global {}, .origin = Origin::Equal}).origin, Origin::Equal); - EXPECT_EQ(snapshot({.routing = CapacityAware {}, .placement = FlowPlacement::EqualBalanced}).origin, Origin::Equal); + const auto tunnels = snapshot({.routing = CapacityAware {Tunnels {2}}}); + EXPECT_EQ(tunnels.origin, Origin::Equal); + EXPECT_TRUE(tunnels.selection == PathSelection()); + EXPECT_FALSE(tunnels.selection->multipath.has_value()); + EXPECT_FALSE(tunnels.placement.has_value()); const auto pinned = snapshot({.routing = pinned_dags(*g, 0, 3, {dag_of(*g, {0, 2})})}); EXPECT_FALSE(pinned.origin.has_value() || pinned.selection.has_value() || pinned.weights.has_value()); // Weighted's absent weights resolve to Capacity; the other placements keep none. @@ -417,34 +410,25 @@ TEST(FlowPolicyConfig, DefaultsResolveAtThePolicy) { TEST(FlowPolicyConfig, ConfigIsTheCopyTakenAtConstruction) { auto g = diamond(5, 5); FlowLedger fg(g); - CapacityAware ca; - ca.flow_count = 2; - ca.max_flow_count = 3; + CapacityAware ca {Tunnels {2}}; ca.max_path_cost = Absolute {9}; - ca.min_flow_bandwidth = 1; - ca.reoptimize = true; - ca.diminishing = DiminishingReturns {2, 0.25}; + ca.min_unreserved_bandwidth = 1; const auto selection = sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, false); - auto c = cfg(ca, FlowPlacement::EqualBalanced, Admission::Lossless, selection); + FlowPolicyConfig c {.routing = ca, .admission = Admission::Lossy, .selection = selection}; FlowPolicy p(fg, v({0}), v({3}), c); - c.placement = FlowPlacement::MaxFlow; + c.admission = Admission::Lossless; c.selection = sel(); - std::get(c.routing).flow_count = 7; + std::get(c.routing).tunnels.count = 7; const auto& got = p.config(); EXPECT_NE(&got, &c); - EXPECT_EQ(got.placement, FlowPlacement::EqualBalanced); - EXPECT_EQ(got.admission, Admission::Lossless); + EXPECT_FALSE(got.placement.has_value()); + EXPECT_EQ(got.admission, Admission::Lossy); EXPECT_TRUE(got.selection == selection); ASSERT_TRUE(std::holds_alternative(got.routing)); const auto& r = std::get(got.routing); - EXPECT_EQ(r.flow_count, 2); - EXPECT_EQ(r.max_flow_count, std::optional {3}); + EXPECT_EQ(r.tunnels, (Tunnels {2, false})); EXPECT_TRUE(r.max_path_cost == std::optional {Absolute {9}}); - EXPECT_EQ(r.min_flow_bandwidth, 1); - EXPECT_TRUE(r.reoptimize); - ASSERT_TRUE(r.diminishing.has_value()); - EXPECT_EQ(r.diminishing->window, 2); - EXPECT_EQ(r.diminishing->fraction, 0.25); + EXPECT_EQ(r.min_unreserved_bandwidth, 1); // Pinned: the supplied program and black holes themselves (shared, never copied); explicit // weights: the configuration's one array, shared by every policy built from it. const auto dark = std::make_shared(g->eligibility({}, std::vector {1})); @@ -545,17 +529,15 @@ std::map delivered_by_source(const FlowPolicy& p) { // A request rejected by validation (out of [0, 2^62), finite after +inf, a cumulative total // that would reach 2^127) changes neither the policy's epoch state nor the ledger, under every -// routing model; validation precedes the shortcut of a zero request (place(0) after +inf is -// rejected too), and remove() ends the epoch, after which a finite request places again. The -// 2^127 case starts from a requested total set just below the limit. +// routing model with incremental placement (T1's calls: tunnels_t1_tests.cpp); validation +// precedes the shortcut of a zero request (place(0) after +inf is rejected too), and remove() ends +// the epoch, after which a finite request places again. The 2^127 case starts from a requested +// total set just below the limit. TEST(FlowPolicyRequests, RejectedRequestsLeaveThePolicyAndTheLedger) { auto g = diamond(5, 3, 2); const Pinned pinned = pinned_dags(*g, 0, 3, {dag_of(*g, {0, 2}), dag_of(*g, {1, 3})}); - CapacityAware ca; - ca.max_path_cost = Absolute {4}; const std::vector> configs = { {"CostOnly", cost_only_config()}, - {"CapacityAware", cfg(ca, FlowPlacement::EqualBalanced)}, {"Global", global_config()}, {"Pinned", {.routing = pinned}}, {"Global support", {.routing = Global {dag_of(*g, {0, 2})}}}, @@ -953,7 +935,7 @@ TEST(FlowPolicyGlobal, RandomCumulativeSolvesAreOptimalWithACertifiedCut) { EXPECT_EQ(cut_capacity, max_flow) << where; // The closure is seeded at the roster: the allowed sources with a walk over allowed edges // (whatever their capacity) to an allowed destination. Another source can reach no - // destination, so it needs no cut edge; contract r8 14.1: the cut of an empty roster is []. + // destination, so it needs no cut edge; contract 14.1: the cut of an empty roster is []. std::vector roster; for (const NodeId src : srcs) { if (elig != nullptr && !elig->node_ok(src)) continue; @@ -1008,30 +990,18 @@ TEST(FlowPolicyGlobal, RandomCumulativeSolvesAreOptimalWithACertifiedCut) { EXPECT_GT(evaluated, 100); } -// CostOnly and CapacityAware placements on random graphs (costs 1 to 9 times a factor of 1, -// 1,000,003 or 2^35, zero capacities, a node or edge mask, one or two sources and destinations, -// another owner's flow first), in the kernels and admissions these models take: after each of two -// capped calls and a call of +inf, each of the policy's records is a flow of its own from the -// policy's sources to its destinations (expect_conserved, test_utils.hpp: positive amounts in -// ascending EdgeId, every transit node passing on what it receives less its drops, delivered the -// destinations' net inflow and, Lossless, the sources' net outflow), carrying and dropping nothing -// on an edge the Eligibility excludes; a Lossless policy's records deliver its placed demand, and -// the ledger's aggregate is the sum of its records (expect_balanced). These models choose routes -// by cost, not by the minimum-cost flow, so no optimality certificate applies here. -TEST(FlowPolicyRecords, RandomCostOnlyAndCapacityAwareRecordsAreFlows) { - const auto tunnel = sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, false); +// CostOnly placements on random graphs (costs 1 to 9 times a factor of 1, 1,000,003 or 2^35, zero +// capacities, a node or edge mask, one or two sources and destinations, another owner's flow +// first), in the kernels and admissions CostOnly takes: after each of two capped calls and a call +// of +inf, each of the policy's records is a flow of its own from the policy's sources to its +// destinations (expect_conserved, test_utils.hpp: positive amounts in ascending EdgeId, every +// transit node passing on what it receives less its drops, delivered the destinations' net inflow +// and, Lossless, the sources' net outflow), carrying and dropping nothing on an edge the Eligibility +// excludes; a Lossless policy's records deliver its placed demand, and the ledger's aggregate is the +// sum of its records (expect_balanced). CostOnly chooses routes by cost, not by the minimum-cost +// flow, so no optimality certificate applies here (T1's records: T1Property, tunnels_t1_tests.cpp). +TEST(FlowPolicyRecords, RandomCostOnlyRecordsAreFlows) { const auto res = sel(EdgeTieBreak::Deterministic, EdgePriority::Residual); - CapacityAware grow; - grow.flow_count = 1; - grow.max_flow_count = 4; - CapacityAware reopt; - reopt.flow_count = 2; - reopt.reoptimize = true; - reopt.max_path_cost = Stretch {2.0}; - CapacityAware dim; - dim.flow_count = 1; - dim.diminishing = DiminishingReturns {1, 0.5}; - dim.min_flow_bandwidth = 1; const std::vector configs = { cost_only_config(), cfg(CostOnly {}, FlowPlacement::Weighted), @@ -1041,21 +1011,16 @@ TEST(FlowPolicyRecords, RandomCostOnlyAndCapacityAwareRecordsAreFlows) { sel(EdgeTieBreak::Deterministic, EdgePriority::Residual, false, false)), cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy), cfg(CostOnly {}, FlowPlacement::Weighted, Admission::Lossy, res), - cfg(grow, FlowPlacement::EqualBalanced, Admission::Lossless, tunnel), - cfg(reopt, FlowPlacement::MaxFlow), - cfg(dim, FlowPlacement::Weighted, Admission::Lossless, res), }; std::mt19937_64 rng(20261011); auto below = [&](std::int64_t k) { return static_cast(rng() % static_cast(k)); }; - int carrying_cost_only = 0; // record checks of a CostOnly record that carries something - int carrying_capacity_aware = 0; // the same for CapacityAware + int carrying = 0; // record checks of a record that carries something int dropping = 0; // record checks of a Lossy record with drops int masked = 0; // record checks of a carrying record under a mask int scaled = 0; // record checks of a carrying record with costs times 1,000,003 or 2^35 int several = 0; // calls that delivered from two sources or into two destinations for (int trial = 0; trial < 600; ++trial) { const FlowPolicyConfig& config = configs[static_cast(trial) % configs.size()]; - const bool cost_only = std::holds_alternative(config.routing); const std::int32_t n = 4 + static_cast(rng() % 5); const int m = 6 + static_cast(rng() % 11); const Cost factor = trial % 3 == 0 ? 1 : trial % 3 == 1 ? 1000003 : Cost {1} << 35; @@ -1115,7 +1080,7 @@ TEST(FlowPolicyRecords, RandomCostOnlyAndCapacityAwareRecordsAreFlows) { if (std::find(dsts.begin(), dsts.end(), head) != dsts.end()) into.insert(head); } } - (cost_only ? carrying_cost_only : carrying_capacity_aware) += carries ? 1 : 0; + carrying += carries ? 1 : 0; dropping += r.drops.empty() ? 0 : 1; masked += carries && elig != nullptr ? 1 : 0; scaled += carries && factor > 1 ? 1 : 0; @@ -1125,8 +1090,7 @@ TEST(FlowPolicyRecords, RandomCostOnlyAndCapacityAwareRecordsAreFlows) { ASSERT_FALSE(::testing::Test::HasFailure()) << where; } } - EXPECT_GT(carrying_cost_only, 0); - EXPECT_GT(carrying_capacity_aware, 0); + EXPECT_GT(carrying, 0); EXPECT_GT(dropping, 0); EXPECT_GT(masked, 0); EXPECT_GT(scaled, 0); @@ -1159,45 +1123,41 @@ TEST(FlowPolicyRecords, BundlesAreSharedOrPruned) { EXPECT_EQ(c.records().front().bundle.get(), support.get()); } -// records() lists the live records in FlowId order, also when the sources' flows interleave. -// Sources 0 and 1, each with two parallel edges of 3 and 5 units to node 2; CapacityAware single -// paths, up to two flows per source. place(2) offers 1 to each source: flows 0 (source 0) and 1 -// (source 1). place(14) offers 7 to each: each source fills its flow to 3 and grows a second flow -// on its other edge (5 units), FlowIds 2 (source 0) and 3 (source 1). Per source the flows are -// [0, 2] and [1, 3]; records() gives 0, 1, 2, 3. +// records() lists the live records in FlowId order, also when the sources' entries interleave. +// Sources 0 and 1, each with two parallel edges of 3 and 5 units to node 2; T1 with 2 tunnels per +// head: one record per program entry, created in index order j * H + i (round j, head i), so the +// entries 0 (source 0), 1 (source 1), 2 (source 0) and 3 (source 1) get FlowIds 0 to 3 and records() +// gives their sources as 0, 1, 0, 1 (a source's records are not contiguous). TEST(FlowPolicyRecords, RecordsAreInFlowIdOrderAcrossSources) { auto g = shared(make_graph(3, {{0, 2, 3, 1}, {0, 2, 5, 1}, {1, 2, 3, 1}, {1, 2, 5, 1}})); FlowLedger fg(g); - CapacityAware ca; - ca.max_flow_count = 2; - FlowPolicy p(fg, v({0, 1}), v({2}), cfg(ca, FlowPlacement::MaxFlow, Admission::Lossless, - sel(EdgeTieBreak::Deterministic, EdgePriority::Capacity, false))); - ASSERT_EQ(p.place(2).placed, 2); - ASSERT_EQ(p.place(14).placed, 14); + FlowPolicy p(fg, v({0, 1}), v({2}), t1(2)); + ASSERT_EQ(p.replace(8, 8).placed, 8); std::vector ids; std::vector sources; + std::vector entries; for (const auto& r : p.records()) { ids.push_back(r.flow_id.second); sources.push_back(r.sources.at(0)); + entries.push_back(r.entry.value_or(-1)); } EXPECT_EQ(ids, (std::vector {0, 1, 2, 3})); EXPECT_EQ(sources, (std::vector {0, 1, 0, 1})); + EXPECT_EQ(entries, (std::vector {0, 1, 2, 3})); } -// CostOnly and CapacityAware route to the nearest destinations, and one flow may deliver to -// several of them: edges (input order) 0 -> 1 (10 units, cost 1), 1 -> 2 (2, cost 1), 1 -> 3 (3, +// CostOnly routes to the nearest destinations, and one flow may deliver to several of them: edges (input order) 0 -> 1 (10 units, cost 1), 1 -> 2 (2, cost 1), 1 -> 3 (3, // cost 1) and 0 -> 3 (5, cost 5); destinations 2 and 3, both at cost 2 through node 1. The one // flow carries 2 to node 2 and 3 to node 3 (the edges entering each destination), 5 in all; the // costlier edge 0 -> 3 is no part of the route. TEST(FlowPolicyRecords, OneFlowDeliversToTheNearestDestinations) { auto g = shared(make_graph(4, {{0, 1, 10, 1}, {1, 2, 2, 1}, {1, 3, 3, 1}, {0, 3, 5, 5}})); const auto id = id_of_input(*g); - CapacityAware fixed; - fixed.max_flow_count = 1; - for (const auto& [name, routing] : std::vector> {{"CostOnly", CostOnly {}}, - {"CapacityAware", fixed}}) { + // MaxFlow fills both; Weighted's capacity weights 2 and 3 split 5 at node 1 as (2, 3). + for (const auto& [name, kernel] : std::vector> { + {"MaxFlow", FlowPlacement::MaxFlow}, {"Weighted", FlowPlacement::Weighted}}) { FlowLedger fg(g); - FlowPolicy p(fg, v({0}), v({2, 3}), cfg(routing, FlowPlacement::MaxFlow)); + FlowPolicy p(fg, v({0}), v({2, 3}), cfg(CostOnly {}, kernel)); const auto r = p.place(std::nullopt); EXPECT_EQ(r.placed, 5) << name; const auto records = p.records(); @@ -1213,309 +1173,6 @@ TEST(FlowPolicyRecords, OneFlowDeliversToTheNearestDestinations) { } } -// The call's termination is the highest local outcome among the unserved sources, LimitFlows > -// LimitDiminishing > Exhausted > NoRoute, here around LimitDiminishing. Sources 0 and 1 with -// parallel edges to node 2; CapacityAware single paths (the lowest EdgeId first), MaxFlow, one flow -// at creation, the guard DiminishingReturns(1, 0.5); request 40 offers 20 to each source, so a -// growth step that gains below 10 stops growth. Source 1 has edges of 5, 3 and 10 units: it creates -// 5, grows 3 and stops (LimitDiminishing, 8 placed). Source 0: -// edges 5, 10, 10 and at most 2 flows: 5, then 10 (not below 10), then the ceiling of 2 flows -// above flow_count 1 with the offer unmet: LimitFlows (15), and the call is LimitFlows; -// edges 5 and 10, no ceiling: 5, then 10, then no route is left: Exhausted (15), and the call -// is LimitDiminishing; -// one edge of 5 that a third party fills: no flow (NoRoute), and the call is LimitDiminishing. -// The sources' outcomes are internal: the private hooks' trace lists them (by the names the -// transaction trace uses). -TEST(FlowPolicyOutcomes, TheCallTakesTheHighestUnservedOutcome) { - const auto name_of = [](Termination t) -> std::string { - switch (t) { - case Termination::LimitFlows: return "limit_flows"; - case Termination::LimitDiminishing: return "limit_diminishing"; - case Termination::NoRoute: return "no_route"; - case Termination::Exhausted: return "exhausted"; - default: return "complete"; - } - }; - struct Case { - const char* name; - std::vector source0; - std::optional max_flow_count; - bool occupied; - Amount placed; - Termination first, call; - }; - const std::vector cases = { - {"LimitFlows over LimitDiminishing", {5, 10, 10}, 2, false, 23, Termination::LimitFlows, Termination::LimitFlows}, - {"LimitDiminishing over Exhausted", {5, 10}, std::nullopt, false, 23, Termination::Exhausted, - Termination::LimitDiminishing}, - {"LimitDiminishing over NoRoute", {5}, std::nullopt, true, 8, Termination::NoRoute, Termination::LimitDiminishing}, - }; - for (const auto& c : cases) { - std::vector rows; - for (const Amount x : c.source0) rows.push_back({0, 2, x, 1}); - for (const Amount x : {5, 3, 10}) rows.push_back({1, 2, x, 1}); - auto g = shared(make_graph(3, rows)); - FlowLedger fg(g); - std::optional third; - if (c.occupied) { - const Global edge {dag_of(*g, {0})}; - third.emplace(fg, v({0}), v({2}), cfg(edge, FlowPlacement::MaxFlow)); - ASSERT_EQ(third->place(5).placed, 5) << c.name; - } - CapacityAware ca; - ca.max_flow_count = c.max_flow_count; - ca.diminishing = DiminishingReturns {1, 0.5}; - FlowPolicy p(fg, v({0, 1}), v({2}), cfg(ca, FlowPlacement::MaxFlow, Admission::Lossless, - sel(EdgeTieBreak::Deterministic, EdgePriority::Capacity, false))); -#if NETGRAPH_CORE_PRIVATE_HOOKS - detail::Trace trace; - const auto r = detail::place_traced(p, 40, {}, trace); - const detail::Trace* outcomes = nullptr; - for (const auto& [key, value] : trace.fields) { - if (key == "local_outcomes") outcomes = &value; - } - ASSERT_NE(outcomes, nullptr) << c.name; - ASSERT_EQ(outcomes->fields.size(), 2U) << c.name; - EXPECT_EQ(outcomes->fields[0].second.s, name_of(c.first)) << c.name; - EXPECT_EQ(outcomes->fields[1].second.s, name_of(Termination::LimitDiminishing)) << c.name; -#else - const auto r = p.place(40); -#endif - EXPECT_EQ(r.placed, c.placed) << c.name; - EXPECT_EQ(r.termination, c.call) << c.name; - } -} - -namespace { - -// Three disjoint routes from 0 to 4 (input order): A = 0 -> 1 -> 4 of cost 1 + 1 = 2, B = 0 -> 2 -// -> 4 of cost 2 + 1 = 3, C = 0 -> 3 -> 4 of cost 2 + 2 = 4, capacities a, b and c on both -// edges of each route. -std::shared_ptr three_routes(Amount a, Amount b, Amount c) { - return shared(make_graph(5, {{0, 1, a, 1}, {1, 4, a, 1}, {0, 2, b, 2}, {2, 4, b, 1}, {0, 3, c, 2}, {3, 4, c, 2}})); -} - -// A policy's records as (route cost, delivered, ascending bundle edges, per-edge allocation). -using RouteRow = std::tuple, std::vector>>; - -std::vector routes_of(const FlowPolicy& p) { - std::vector out; - for (const auto& r : p.records()) out.emplace_back(r.route_cost, r.delivered, ascending_edges(*r.bundle), r.edges); - return out; -} - -// The route of the input edges i and j carrying x units on each. -RouteRow route(const Graph& g, Cost cost, Amount x, std::size_t i, std::size_t j) { - const auto inv = id_of_input(g); - std::vector e = {inv[i], inv[j]}; - std::sort(e.begin(), e.end()); - return {cost, x, e, {{e[0], x}, {e[1], x}}}; -} - -CapacityAware ceiling(std::optional c, Amount floor = 0) { - CapacityAware ca; - ca.max_path_cost = c; - ca.min_flow_bandwidth = floor; - return ca; -} - -} // namespace - -// The CapacityAware path-cost ceiling (inclusive, Absolute(c) a budget, Stretch(f) f times the -// static cost-only shortest cost), MaxFlow and EqualBalanced, one source, place(10) with -// flow_count 1 and no max_flow_count. Derivation (the stages of flow_policy.cpp: 1 creation, -// 3 amounts, 4 growth) on three_routes(2, 2, 2), A, B, C of cost 2, 3, 4 and 2 units each: -// MaxFlow: stage 1 creates a flow on the shortest admitted route A; stage 3 fills it to -// T_max = 2; growth searches W (A now has residual 0) and adds B (cost 3) filled to 2, then -// searches again: only C is left. Under Absolute(3) or Stretch(1.5) (1.5 * 2 = 3) C's cost 4 -// is above the ceiling: no candidate, stop, placed 4, `exhausted` (growth found no -// candidate). Under Absolute(4) or Stretch(2) (ceiling 4, inclusive) C is added: placed 6. -// EqualBalanced: stage 3 sets T = T_max_cohort({A}) = 2; growth adds B with T' = min(0 + 10, -// T_max_cohort({A, B})) = 4 split [2, 2] (accepted, gain 2); the next search finds only C: -// the same ceilings give placed 4, or 6 with C (cohort [2, 2, 2]). -// Absolute(1): no route is admitted at all, stage 1 creates nothing: placed 0, `no_route`. -TEST(CapacityAwareGates, PathCostCeilingExcludesACostlierRoute) { - auto g = three_routes(2, 2, 2); - const auto A = route(*g, 2, 2, 0, 1); - const auto B = route(*g, 3, 2, 2, 3); - const auto C = route(*g, 4, 2, 4, 5); - for (const auto kernel : {FlowPlacement::MaxFlow, FlowPlacement::EqualBalanced}) { - struct Case { - const char* name; - std::optional c; - Amount placed; - Termination term; - std::vector routes; - }; - const std::vector cases = { - {"Absolute(3)", Absolute {3}, 4, Termination::Exhausted, {A, B}}, - {"Stretch(1.5)", Stretch {1.5}, 4, Termination::Exhausted, {A, B}}, - {"Absolute(4)", Absolute {4}, 6, Termination::Exhausted, {A, B, C}}, - {"Stretch(2)", Stretch {2.0}, 6, Termination::Exhausted, {A, B, C}}, - {"none", std::nullopt, 6, Termination::Exhausted, {A, B, C}}, - {"Absolute(1)", Absolute {1}, 0, Termination::NoRoute, {}}, - }; - for (const auto& c : cases) { - const std::string where = - std::string(kernel == FlowPlacement::MaxFlow ? "MaxFlow" : "EqualBalanced") + " ceiling " + c.name; - FlowLedger fg(g); - FlowPolicy p(fg, v({0}), v({4}), cfg(ceiling(c.c), kernel)); - const auto r = p.place(10); - EXPECT_EQ(r.placed, c.placed) << where; - EXPECT_EQ(r.remaining, 10 - c.placed) << where; - EXPECT_EQ(r.termination, c.term) << where; - EXPECT_EQ(r.routes_changed, !c.routes.empty()) << where; - EXPECT_FALSE(r.weights_changed) << where; - EXPECT_EQ(routes_of(p), c.routes) << where; - } - } -} - -// The Stretch baseline is the static shortest cost, residual ignored. A third party holds -// both units of A before the policy is built: the static shortest cost stays 2, so Stretch(1.5) -// admits cost 3 and not 4. Stage 1 creates the flow on B (A has residual 0), stage 3 fills it to -// 2, growth finds no admitted route: placed 2, `exhausted`. A baseline taken on the residual -// (3, from B) would admit C under 1.5 * 3 = 4.5 and place 4; Stretch(2) admits C (2 * 2 = 4) -// and places 4. -TEST(CapacityAwareGates, StretchBaselineIsTheStaticShortestCost) { - auto g = three_routes(2, 2, 2); - const auto inv = id_of_input(*g); - const auto B = route(*g, 3, 2, 2, 3); - const auto C = route(*g, 4, 2, 4, 5); - for (const auto kernel : {FlowPlacement::MaxFlow, FlowPlacement::EqualBalanced}) { - for (const double f : {1.5, 2.0}) { - const std::string where = std::string(kernel == FlowPlacement::MaxFlow ? "MaxFlow" : "EqualBalanced") + - " Stretch " + std::to_string(f); - FlowLedger fg(g); - const Global third {dag_of(*g, {inv[0], inv[1]})}; - FlowPolicy other(fg, v({0}), v({4}), cfg(third, FlowPlacement::MaxFlow)); - ASSERT_EQ(other.place(2).placed, 2) << where; - FlowPolicy p(fg, v({0}), v({4}), cfg(ceiling(Stretch {f}), kernel)); - const auto r = p.place(10); - const bool with_c = f == 2.0; - EXPECT_EQ(r.placed, with_c ? 4 : 2) << where; - EXPECT_EQ(r.termination, Termination::Exhausted) << where; - EXPECT_EQ(routes_of(p), with_c ? (std::vector {B, C}) : (std::vector {B})) << where; - } - } - // Under an Eligibility the baseline is the shortest eligible cost: with A's first edge excluded - // it is B's 3, so Stretch(1.5) admits up to 4.5, C included: B and C, 4 placed (a baseline that - // ignored the Eligibility, 2, would admit up to 3: B alone). - const auto el = g->eligibility({}, std::vector {inv[0]}); - for (const auto kernel : {FlowPlacement::MaxFlow, FlowPlacement::EqualBalanced}) { - FlowLedger fg(g); - FlowPolicy p(fg, v({0}), v({4}), cfg(ceiling(Stretch {1.5}), kernel), &el); - const auto r = p.place(10); - EXPECT_EQ(r.placed, 4); - EXPECT_EQ(r.termination, Termination::Exhausted); - EXPECT_EQ(routes_of(p), (std::vector {B, C})); - } -} - -// The policy's Stretch ceiling is exact at large costs and factors: route A 0-1-4 of cost -// 2^60 and route B 0-2-4 of cost 2^60 + 1, 2 units each, MaxFlow, place(10). Stretch(1) admits -// A only (in a double both costs round to 2^60): placed 2. Stretch(1 + 2^-52) admits B -// (2^60 + 2^8 >= 2^60 + 1), and so does Stretch(2^70), whose product with 2^60 needs more than -// 128 bits unless the bit lengths are compared first: placed 4. -TEST(CapacityAwareGates, StretchCeilingIsExactForLargeCostsAndFactors) { - const Cost half = Cost {1} << 59; - auto g = shared(make_graph(5, {{0, 1, 2, half}, {1, 4, 2, half}, {0, 2, 2, half}, {2, 4, 2, half + 1}})); - const auto A = route(*g, 2 * half, 2, 0, 1); - const auto B = route(*g, 2 * half + 1, 2, 2, 3); - for (const double f : {1.0, std::nextafter(1.0, 2.0), std::ldexp(1.0, 70)}) { - const std::string where = "Stretch " + std::to_string(f); - FlowLedger fg(g); - FlowPolicy p(fg, v({0}), v({4}), cfg(ceiling(Stretch {f}), FlowPlacement::MaxFlow)); - const auto r = p.place(10); - const bool with_b = f != 1.0; - EXPECT_EQ(r.placed, with_b ? 4 : 2) << where; - EXPECT_EQ(r.termination, Termination::Exhausted) << where; - EXPECT_EQ(routes_of(p), with_b ? (std::vector {A, B}) : (std::vector {A})) << where; - } -} - -// min_flow_bandwidth gates every CapacityAware search at residual >= max(1, floor), on -// three_routes(4, 2, 0): A of 4 units at cost 2, B of 2 units at cost 3, C of 0 units, place(10). -// Floor 3, MaxFlow: stage 1 creates on A (residual 4 >= 3), stage 3 fills 4; growth: A has -// residual 0 and B 2 < 3, no route: stop, placed 4, `exhausted`. Floor 2: growth adds B (2): -// placed 6. EqualBalanced: T = T_max_cohort({A}) = 4; floor 3 stops growth there (placed 4); -// floor 2 adds B with T' = T_max_cohort({A, B}) = 5 split [3, 2] by round robin in FlowId -// order (6 would need 3 on B), gain 1; the next search sees A at residual 1 < 2: placed 5. -// Floor 5 is above every residual: stage 1 finds no route, placed 0, `no_route`. -TEST(CapacityAwareGates, MinFlowBandwidthStopsGrowthBelowTheFloor) { - auto g = three_routes(4, 2, 0); - struct Case { - FlowPlacement kernel; - Amount floor; - Amount placed; - Termination term; - std::vector routes; - }; - const std::vector cases = { - {FlowPlacement::MaxFlow, 3, 4, Termination::Exhausted, {route(*g, 2, 4, 0, 1)}}, - {FlowPlacement::MaxFlow, 2, 6, Termination::Exhausted, {route(*g, 2, 4, 0, 1), route(*g, 3, 2, 2, 3)}}, - {FlowPlacement::MaxFlow, 5, 0, Termination::NoRoute, {}}, - {FlowPlacement::EqualBalanced, 3, 4, Termination::Exhausted, {route(*g, 2, 4, 0, 1)}}, - {FlowPlacement::EqualBalanced, 2, 5, Termination::Exhausted, {route(*g, 2, 3, 0, 1), route(*g, 3, 2, 2, 3)}}, - {FlowPlacement::EqualBalanced, 5, 0, Termination::NoRoute, {}}, - }; - for (const auto& c : cases) { - const std::string where = std::string(c.kernel == FlowPlacement::MaxFlow ? "MaxFlow" : "EqualBalanced") + - " floor " + std::to_string(c.floor); - FlowLedger fg(g); - FlowPolicy p(fg, v({0}), v({4}), cfg(ceiling(std::nullopt, c.floor), c.kernel)); - const auto r = p.place(10); - EXPECT_EQ(r.placed, c.placed) << where; - EXPECT_EQ(r.termination, c.term) << where; - EXPECT_EQ(r.routes_changed, !c.routes.empty()) << where; - EXPECT_EQ(routes_of(p), c.routes) << where; - } -} - -// The diminishing guard stops growth once at least `window` growth steps were accepted in the -// call and the last `window` gains sum strictly below fraction times the source's offer. One source, -// parallel edges 0 -> 1 taken in EdgeId order (CapacityAware single paths, MaxFlow, one flow at -// creation), DiminishingReturns(window, 0.5): -// edges 2, 6, 1, 4, offer 12, window 1 (threshold 6): creation 2; growth gains 6 (equal to the -// threshold, not below: continue), then 1 (below, with 3 of the offer left): stop, -// LimitDiminishing, 9 placed. Only the last gain counts: 6 + 1 would not stop it. -// edges 2, 1, 4, offer 8, window 1 (threshold 4): creation 2; the first growth step gains 1: -// stop at once, 3 placed. -// edges 2, 1, 4, offer 8, window 2: the first step is not checked alone; 1 + 4 = 5 is not -// below 4; no edge is left: Exhausted, 7 placed. -TEST(CapacityAwareGates, DiminishingStopsWhenTheLastWindowGainsFallBelowTheFraction) { - struct Case { - std::vector caps; - Amount offer; - std::int32_t window; - Amount placed; - Termination term; - std::vector flows; - }; - const std::vector cases = { - {{2, 6, 1, 4}, 12, 1, 9, Termination::LimitDiminishing, {2, 6, 1}}, - {{2, 1, 4}, 8, 1, 3, Termination::LimitDiminishing, {2, 1}}, - {{2, 1, 4}, 8, 2, 7, Termination::Exhausted, {2, 1, 4}}, - }; - for (const auto& c : cases) { - const std::string where = "window " + std::to_string(c.window) + " offer " + std::to_string(c.offer); - std::vector rows; - for (const Amount x : c.caps) rows.push_back({0, 1, x, 1}); - auto g = shared(make_graph(2, rows)); - FlowLedger fg(g); - CapacityAware ca; - ca.diminishing = DiminishingReturns {c.window, 0.5}; - FlowPolicy p(fg, v({0}), v({1}), cfg(ca, FlowPlacement::MaxFlow, Admission::Lossless, - sel(EdgeTieBreak::Deterministic, EdgePriority::Capacity, false))); - const auto r = p.place(c.offer); - EXPECT_EQ(r.placed, c.placed) << where; - EXPECT_EQ(r.termination, c.term) << where; - std::vector flows; - for (const auto& rec : p.records()) flows.push_back(rec.delivered); - EXPECT_EQ(flows, c.flows) << where; - } -} - TEST(PredDAGStorage, ABundleCostsItsEntriesNotTheGraph) { const std::int32_t n = 1'000'000; auto g = shared(make_graph(n, {{n - 3, n - 2, 4, 1}, {n - 2, n - 1, 4, 1}})); @@ -1555,12 +1212,12 @@ TEST(PredDAGStorage, ABundleCostsItsEntriesNotTheGraph) { } TEST(Evaluators, CapacityIsPlaceInfOnAFreshLedger) { - // Every field of the result, in every routing model (Pinned's program has the endpoints). + // Every field of the result, in every routing model with incremental placement (Pinned's + // program has the endpoints; T1's evaluate of its design: TunnelEvaluators.T1Capacity). auto g = diamond(5, 3, 2); const Pinned pin = pinned_dags(*g, 0, 3, {dag_of(*g, {0, 2}), dag_of(*g, {1, 3})}); - for (const auto& c : {global_config(), cost_only_config(), - cfg(CapacityAware {.flow_count = 2, .max_flow_count = 4}, FlowPlacement::MaxFlow), - FlowPolicyConfig {.routing = pin}, FlowPolicyConfig {.routing = Global {dag_of(*g, {0, 2})}}}) { + for (const auto& c : {global_config(), cost_only_config(), FlowPolicyConfig {.routing = pin}, + FlowPolicyConfig {.routing = Global {dag_of(*g, {0, 2})}}}) { const auto r = capacity(*g, v({0}), v({3}), QueryOptions {c, nullptr, nullptr, OutputOptions {true, true, true}}); FlowLedger fg(g); FlowPolicy p(fg, v({0}), v({3}), c); @@ -1677,7 +1334,7 @@ TEST(Evaluators, BatchValidatesInPairOrderBeforeAnyWorker) { // The sensitivity shortcuts (optimized Global from the baseline's maximum flow, CostOnly without a // re-evaluation of the edges outside the static shortest-path support reachable from the sources) -// and the plain re-evaluations (equal Global, CapacityAware, Pinned) give the losses of the +// and the plain re-evaluations (equal Global, T1, Pinned) give the losses of the // definition, the // baseline's placed amount minus capacity() with the edge excluded, on random graphs with parallel // edges, self-loops, dispersed costs, zero capacities, endpoint sets and eligibility masks; every @@ -1685,8 +1342,9 @@ TEST(Evaluators, BatchValidatesInPairOrderBeforeAnyWorker) { // priority (the pooled single-path rule skips PreferHigherPriority single paths with two sources), // both admissions, one Residual single-path selection (no Headroom) and the equal origin of // MaxFlow; Global under both origins (equal: a deletion that removes a source from the roster can -// raise the total, a negative loss); two CapacityAware configurations (growth, and reoptimization -// under a Stretch ceiling); and Pinned +// raise the total, a negative loss); two T1 configurations with the design 6 (PreferHigherPriority +// on Residual without parallel links, and three tunnels under a Stretch ceiling: setup redone under +// every deletion); and Pinned // with two bundles (the static support toward the destination and the second shortest path) on // single endpoints. An edge without an entry has loss 0 by the same definition. TEST(Evaluators, SensitivityEqualsTheDefinitionOnRandomGraphs) { @@ -1705,10 +1363,15 @@ TEST(Evaluators, SensitivityEqualsTheDefinitionOnRandomGraphs) { configs.push_back(cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy)); configs.push_back(cfg(CostOnly {}, FlowPlacement::Weighted, Admission::Lossy, sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, false))); configs.push_back({CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossless, sel(), Origin::Equal}); - configs.push_back(cfg(CapacityAware {.flow_count = 1, .max_flow_count = 3}, FlowPlacement::EqualBalanced, - Admission::Lossless, sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, false))); - configs.push_back(cfg(CapacityAware {.flow_count = 2, .max_path_cost = Stretch {2.0}, .reoptimize = true}, - FlowPlacement::MaxFlow)); + configs.push_back({.routing = CapacityAware {Tunnels {2}}, + .selection = sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, false)}); + configs.push_back({.routing = CapacityAware {Tunnels {3}, Stretch {2.0}}}); + // T1 names its design (12.1); the other models take none. + const auto query = [](const FlowPolicyConfig& c, const Eligibility* e, OutputOptions o = {}) { + QueryOptions q {c, e, nullptr, o}; + if (std::holds_alternative(c.routing)) q.design_demand = Amount {6}; + return q; + }; int entries = 0; int global_losses = 0; int policy_losses = 0; @@ -1750,7 +1413,7 @@ TEST(Evaluators, SensitivityEqualsTheDefinitionOnRandomGraphs) { } for (const auto& c : trial_configs) { const bool cost_only = std::holds_alternative(c.routing); - if (cost_only && s.size() > 1 && !c.selection->multipath && + if (cost_only && s.size() > 1 && c.selection->single_path() && c.selection->tie_break == EdgeTieBreak::PreferHigherPriority) { continue; // the pooled single-path rule } @@ -1758,11 +1421,11 @@ TEST(Evaluators, SensitivityEqualsTheDefinitionOnRandomGraphs) { const bool pinned = std::holds_alternative(c.routing); const std::vector cs = pinned ? std::vector {0} : s; const std::vector ct = pinned ? std::vector {t0} : t; - const auto r = sensitivity(*g, cs, ct, QueryOptions {c, elig}, 1 + pick(3)); + const auto r = sensitivity(*g, cs, ct, query(c, elig), 1 + pick(3)); // The baseline is capacity() itself, and the entries are the candidates in ascending order: // Global, the baseline's positive-flow edges; every other model, every allowed edge, // whatever its capacity. - const auto base = capacity(*g, cs, ct, QueryOptions {c, elig, nullptr, OutputOptions {true, false, false}}); + const auto base = capacity(*g, cs, ct, query(c, elig, OutputOptions {true, false, false})); ASSERT_EQ(r.baseline.placed, base.placed) << "trial " << trial; std::vector candidates; for (EdgeId e = 0; e < g->num_edges(); ++e) { @@ -1776,7 +1439,7 @@ TEST(Evaluators, SensitivityEqualsTheDefinitionOnRandomGraphs) { : equal_global ? " Global equal" : cost_only ? " CostOnly" : pinned ? " Pinned" - : " CapacityAware"; + : " T1"; std::vector listed; for (const auto& e : r.entries) listed.push_back(e.edge); ASSERT_EQ(listed, candidates) << "trial " << trial << model; @@ -1785,7 +1448,7 @@ TEST(Evaluators, SensitivityEqualsTheDefinitionOnRandomGraphs) { const EdgeId one[1] = {e}; auto deleted = g->eligibility({}, one); if (elig != nullptr) deleted = Eligibility::intersect(*elig, deleted); - return base.placed - capacity(*g, cs, ct, QueryOptions {c, &deleted}).placed; + return base.placed - capacity(*g, cs, ct, query(c, &deleted)).placed; }; for (const auto& e : r.entries) { const Amount want = loss(e.edge); @@ -1857,7 +1520,7 @@ TEST(Evaluators, SensitivityCandidatesAndSignedLosses) { ASSERT_EQ(se.entries.size(), 2U); EXPECT_EQ(se.entries[0].edge, std::min(pin[1], pin[2])); EXPECT_EQ(se.entries[1].edge, std::max(pin[1], pin[2])); - // A loss can be negative, also for a zero-capacity link (the owner page's G8: ids 0: 0 -> 1 of + // A loss can be negative, also for a zero-capacity link (the search graph S: ids 0: 0 -> 1 of // capacity 0, 1: 0 -> 2, 2: 2 -> 1 of 5, costs 1): the only shortest route crosses the zero // link, so EqualBalanced carries 0; without it the route 0 -> 2 -> 1 carries 5, a loss of -5. // The other two edges lie outside the reachable support (loss 0 without a placement). @@ -1875,22 +1538,26 @@ TEST(Evaluators, SensitivityCandidatesAndSignedLosses) { EXPECT_EQ(sensitivity(*p, v({0}), v({1}), QueryOptions {opts.config, nullptr, &cache}, 1).entries.size(), 3U); } -// The baseline is capacity() with the requested outputs, in every routing model; without a -// request it carries none. +// The baseline is capacity() with the requested outputs, in every routing model (T1 with its +// design); without a request it carries none. TEST(Evaluators, SensitivityBaselineIsCapacityWithTheRequestedOutputs) { auto g = diamond(5, 3, 2); const Pinned pin = pinned_dags(*g, 0, 3, {dag_of(*g, {0, 2}), dag_of(*g, {1, 3})}); - const OutputOptions all {true, true, true}; - for (const auto& c : {global_config(), cost_only_config(), - cfg(CapacityAware {.flow_count = 2, .max_flow_count = 4}, FlowPlacement::MaxFlow), - FlowPolicyConfig {.routing = pin}, FlowPolicyConfig {.routing = Global {dag_of(*g, {0, 2})}}}) { - const auto s = sensitivity(*g, v({0}), v({3}), QueryOptions {c, nullptr, nullptr, all}, 1); - const auto want = capacity(*g, v({0}), v({3}), QueryOptions {c, nullptr, nullptr, all}); + const OutputOptions all {.edge_flows = true, .residual = true, .bottleneck = true, .reservation_edge_flows = true}; + for (const auto& c : {global_config(), cost_only_config(), t1(2), FlowPolicyConfig {.routing = pin}, + FlowPolicyConfig {.routing = Global {dag_of(*g, {0, 2})}}}) { + const auto with = [&](QueryOptions q) { + if (std::holds_alternative(c.routing)) q.design_demand = Amount {6}; + return q; + }; + const auto s = sensitivity(*g, v({0}), v({3}), with({c, nullptr, nullptr, all}), 1); + const auto want = capacity(*g, v({0}), v({3}), with({c, nullptr, nullptr, all})); EXPECT_GT(want.placed, 0); - ASSERT_TRUE(want.edge_flows.has_value() && want.residual.has_value() && want.bottleneck.has_value()); + ASSERT_TRUE(want.edge_flows.has_value() && want.residual.has_value() && want.bottleneck.has_value() && + want.reservation_edge_flows.has_value()); expect_same(s.baseline, want, "sensitivity baseline with every output"); - const auto plain = sensitivity(*g, v({0}), v({3}), QueryOptions {c}, 1); - expect_same(plain.baseline, capacity(*g, v({0}), v({3}), QueryOptions {c}), "sensitivity baseline, no output"); + const auto plain = sensitivity(*g, v({0}), v({3}), with({c}), 1); + expect_same(plain.baseline, capacity(*g, v({0}), v({3}), with({c})), "sensitivity baseline, no output"); } } @@ -1959,7 +1626,7 @@ TEST(Evaluators, SensitivityChecksWorkersAndCachesAsTheBatchDoes) { EXPECT_EQ(stats_of(building.stats()), stats_of(DagCache(*g).stats())); } -// Only CostOnly reads the cache: Global, CapacityAware and Pinned reject one (frozen too) before +// Only CostOnly reads the cache: Global, T1 and Pinned reject one (frozen too) before // any lookup and count nothing; CostOnly's baseline raises the miss of an empty frozen cache. TEST(Evaluators, SensitivityReadsTheCacheOnlyUnderCostOnly) { auto g = diamond(5, 3, 2); @@ -1968,7 +1635,7 @@ TEST(Evaluators, SensitivityReadsTheCacheOnlyUnderCostOnly) { empty.freeze(); for (const auto& [c, model] : {std::pair {global_config(), "Global"}, - std::pair {cfg(CapacityAware {.flow_count = 2, .max_flow_count = 4}, FlowPlacement::MaxFlow), "T1"}, + std::pair {t1(2), "T1"}, std::pair {FlowPolicyConfig {.routing = pin}, "Pinned"}}) { for (const std::int32_t workers : {1, 3}) { EXPECT_EQ(error_of([&] { diff --git a/tests/cpp/kernels_tests.cpp b/tests/cpp/kernels_tests.cpp index 7b99854..b443fa5 100644 --- a/tests/cpp/kernels_tests.cpp +++ b/tests/cpp/kernels_tests.cpp @@ -300,8 +300,8 @@ TEST(Apportion, RoundRobinAndHighestAveragesValues) { // Highest averages with zero weights (pooled attribution divides by what each source holds, and a // source can hold nothing): a zero weight gets nothing and all-zero weights give nothing. The -// contract's examples H-not-one-unit (not "within one unit of proportional"), H-local-bound and -// RR-local-bound, and H-bound-sweep: every total up to 24 over 1 to 4 members with weights 0 to 4, +// contract's examples: a member more than one unit from proportional, the local bounds of highest +// averages and of round robin, and the sweep: every total up to 24 over 1 to 4 members with weights 0 to 4, // not all zero (19,400 cases), equals the sequential definition, and each member's rounding error // against its proportional share is below k units (k members), below 1 for equal weights. TEST(Apportion, HighestAveragesExamplesAndZeroWeights) { diff --git a/tests/cpp/ksp_tests.cpp b/tests/cpp/ksp_tests.cpp index 0d8e899..0aa4957 100644 --- a/tests/cpp/ksp_tests.cpp +++ b/tests/cpp/ksp_tests.cpp @@ -262,7 +262,7 @@ TEST(Ksp, ZeroCapacityEdgesAreSearchedAndOnlyAResidualFiltersThem) { } TEST(Ksp, ZeroEdgeExamplesOfTheContract) { - // KSP-zero-edge and KSP-zero-edge-residual (ids 0: 0->1 cap 0, 1: 0->2 cap 5, 2: 2->1 cap 5, + // KSP over the zero edge, with and without a residual (ids 0: 0->1 cap 0, 1: 0->2 cap 5, 2: 2->1 cap 5, // costs 1): k = 2 lists [0] (cost 1) and [1, 2] (cost 2); the residual (0, 5, 5) leaves [1, 2]. auto g = bgraph(3, {{0, 1, 0, 1}, {0, 2, 5, 1}, {2, 1, 5, 1}}); auto r = run(g, 0, 1, 2, sel()); @@ -275,7 +275,7 @@ TEST(Ksp, ZeroEdgeExamplesOfTheContract) { ASSERT_EQ(gated.size(), 1U); EXPECT_EQ(costs_of(gated), (std::vector{2})); EXPECT_EQ(walk_of(gated[0].second), (std::vector{1, 2})); - // A-X8-Stretch-exact's ceiling: ids 0: 0->1 cap 0 cost 5, 1: 0->1 cap 1 cost 6. The static + // The ceiling Stretch(1.2): ids 0: 0->1 cap 0 cost 5, 1: 0->1 cap 1 cost 6. The static // baseline counts the zero-capacity edge: 5; the double 1.2 is 5404319552844595 / 2^52, so // 1.2 * 5 is just below 6 and only the cost-5 walk fits. auto h = bgraph(2, {{0, 1, 0, 5}, {0, 1, 1, 6}}); diff --git a/tests/cpp/pooled_origin_tests.cpp b/tests/cpp/pooled_origin_tests.cpp index cf85e06..6cd4ef2 100644 --- a/tests/cpp/pooled_origin_tests.cpp +++ b/tests/cpp/pooled_origin_tests.cpp @@ -4,9 +4,8 @@ // Lossy forwarding through a source, weights frozen per epoch, the first-hop experiment), // increments and zero calls, the controllers (Global and CostOnly MaxFlow) under both origins, // min_cut as its own output, the result's accounting and per-source rows, the terminations and -// the evaluators. Each test checks the hand-derived values of the step's expected-result rows -// (LEDGER rows C, Q, P, I, M, G, S, T, V) on small graphs whose EdgeIds equal their input -// positions (asserted). The property tests check the controllers' certificates (conservation, +// the evaluators. Each test checks hand-derived values on small graphs whose EdgeIds equal their +// input positions (asserted). The property tests check the controllers' certificates (conservation, // maximality under the origin, no negative residual cycle) with an independent augmenting-path // maximum flow and Bellman-Ford, and pooled records against their own routes; the pooled // forwarding itself is compared with an independent reference in tests/py/test_pooled.py. @@ -138,9 +137,9 @@ std::string construct_error(const std::vector& edges, std::vector> rows = { {FlowPolicyConfig {.routing = CostOnly {}}, "CostOnly requires placement"}, @@ -152,19 +151,16 @@ TEST(ConfigOrigin, MatrixTexts) { "CostOnly with EQUAL_BALANCED or WEIGHTED requires origin=EQUAL"}, {cost_only(FlowPlacement::MaxFlow, Admission::Lossy), "MAX_FLOW requires admission=LOSSLESS"}, {FlowPolicyConfig {.routing = Global {}, .admission = Admission::Lossy}, "MAX_FLOW requires admission=LOSSLESS"}, - {FlowPolicyConfig {.routing = CapacityAware {}, .placement = FlowPlacement::MaxFlow, .origin = Origin::Optimized}, - "T1 requires origin=EQUAL"}, - {FlowPolicyConfig {.routing = CapacityAware {}}, "CapacityAware requires placement"}, - {FlowPolicyConfig {.routing = CapacityAware {}, .placement = FlowPlacement::EqualBalanced, - .admission = Admission::Lossy}, - "CapacityAware requires admission=LOSSLESS"}, + {FlowPolicyConfig {.routing = CapacityAware {Tunnels {1}}, .origin = Origin::Optimized}, "T1 requires origin=EQUAL"}, + {FlowPolicyConfig {.routing = CapacityAware {Tunnels {1}}, .placement = FlowPlacement::MaxFlow}, + "T1 does not accept placement"}, }; const auto g = graph(kB1); for (const auto& [cfg, text] : rows) { EXPECT_EQ(construct_error(kB1, {0, 1}, {3}, cfg), text); EXPECT_EQ(error_of([&] { (void)capacity(*g, v({0, 1}), v({3}), QueryOptions {cfg}); }), text); } - // C10, C12 and C8 for Pinned: it takes neither a placement nor an origin (its program has it). + // Pinned takes neither a placement nor an origin (its program has it). const Pinned pin = pinned_dags(*g, 0, 3, {dag_of(*g, {0})}); const auto pinned_error = [&](const FlowPolicyConfig& c) { FlowLedger fg(g); @@ -174,13 +170,12 @@ TEST(ConfigOrigin, MatrixTexts) { EXPECT_EQ(pinned_error(FlowPolicyConfig {pin, FlowPlacement::MaxFlow, Admission::Lossy}), "Pinned does not accept placement"); EXPECT_EQ(pinned_error(FlowPolicyConfig {.routing = pin, .admission = Admission::Lossy}), ""); - // C11: only CostOnly reads a cache (policy and evaluators). + // Only CostOnly reads a cache (policy and evaluators). DagCache cache(*g); FlowLedger fg(g); const std::vector, std::string>> cached = { {glob(), {0, 1}, "Global does not use DagCache"}, - {FlowPolicyConfig {.routing = CapacityAware {}, .placement = FlowPlacement::MaxFlow}, {0, 1}, - "T1 does not use DagCache"}, + {FlowPolicyConfig {.routing = CapacityAware {Tunnels {1}}}, {0, 1}, "T1 does not use DagCache"}, {FlowPolicyConfig {.routing = pin}, {0}, "Pinned does not use DagCache"}, }; for (const auto& [cfg, s, text] : cached) { @@ -191,7 +186,7 @@ TEST(ConfigOrigin, MatrixTexts) { EXPECT_EQ(cache.stats().misses + cache.stats().hits, 0); } -// C13, C14, C16, Q6: the row, then the columns placement, origin, admission, selection; the table +// The row, then the columns placement, origin, admission, selection; the table // before the cache check. TEST(ConfigOrigin, MatrixOrder) { EXPECT_EQ(construct_error(kB1, {0, 1}, {3}, @@ -213,7 +208,7 @@ TEST(ConfigOrigin, MatrixOrder) { "Global does not accept placement"); } -// C15: the endpoints come before the ownership of the mask. +// The endpoints come before the ownership of the mask. TEST(ConfigOrigin, EndpointsBeforeOwnership) { const auto g = graph(kB1); const auto other = graph(kB1); @@ -224,7 +219,7 @@ TEST(ConfigOrigin, EndpointsBeforeOwnership) { EXPECT_FALSE(contains(text, "foreign")) << text; } -// C19: finite after infinite, place(0) included, until remove(). +// Finite after infinite, place(0) included, until remove(). TEST(ConfigOrigin, FiniteAfterInfinite) { for (const auto& cfg : {cost_only(), glob(), cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)}) { Case k(kOne, {0}, {1}, cfg); @@ -237,9 +232,9 @@ TEST(ConfigOrigin, FiniteAfterInfinite) { } } -// ---------------------------------------------------------------- the pooled single-path rule (Q rows) +// ---------------------------------------------------------------- the pooled single-path rule -// Q1 to Q4: two normalized input sources (also when a mask leaves one) reject PreferHigherPriority +// Two normalized input sources (also when a mask leaves one) reject PreferHigherPriority // single paths for every kernel; one source and multipath are accepted. TEST(PooledSinglePath, Rejected) { for (auto k : {FlowPlacement::EqualBalanced, FlowPlacement::Weighted, FlowPlacement::MaxFlow}) { @@ -252,7 +247,7 @@ TEST(PooledSinglePath, Rejected) { } } -// Q5: DETERMINISTIC single paths pool: 0: [e0, e2], 1: [e1, e2] (equal cost and hops: e2). +// DETERMINISTIC single paths pool: 0: [e0, e2], 1: [e1, e2] (equal cost and hops: e2). TEST(PooledSinglePath, DeterministicPaths) { const auto det = sel(EdgeTieBreak::Deterministic, EdgePriority::Capacity, false); Case k(kPool, {0, 1}, {3}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossless, det)); @@ -270,9 +265,9 @@ TEST(PooledSinglePath, DeterministicPaths) { EXPECT_EQ(ascending_edges(*recs[1].bundle), (std::vector {1, 2})); } -// ---------------------------------------------------------------- pooled CostOnly (P rows) +// ---------------------------------------------------------------- pooled CostOnly -// P1 to P3 (B-pooled): one split at the shared router, attributed member by member. +// One split at the shared router, attributed member by member. TEST(Pooled, SharedRouterSplitsOnce) { Case k(kPool, {0, 1}, {3}, cost_only()); const auto r = k.place(2, kEdges); @@ -292,17 +287,17 @@ TEST(Pooled, SharedRouterSplitsOnce) { EXPECT_EQ(w.place(2).placed, 2); } -// P4: each member's arrivals divided by what each source brought. +// Each member's arrivals divided by what each source brought. TEST(Pooled, LossyAttributionByArrivals) { Case k(kPool, {0, 1}, {3}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)); const auto r = k.place(4); EXPECT_EQ(r.placed, 2); EXPECT_EQ(r.call_drops, (Drops {{2, 1}, {3, 1}})); EXPECT_EQ(rows(r), (std::vector {{0, 2, 2, 2, 0, 0}, {1, 2, 2, 0, 0, 2}})); - for (const auto& rec : k.p->records()) expect_conserved(*k.g, rec, "P4"); + for (const auto& rec : k.p->records()) expect_conserved(*k.g, rec, "Lossy attribution by arrivals"); } -// P5 to P7, P9 (B3-zero-first, B3-positive-first): Lossless admits only totals that give the +// Lossless admits only totals that give the // source behind the zero edge nothing; Lossy drops its share on that edge. TEST(Pooled, EqualEntryThatCannotPass) { for (const auto& [edges, want] : {std::pair {kB3Z, Amount {0}}, std::pair {kB3P, Amount {1}}}) { @@ -322,7 +317,7 @@ TEST(Pooled, EqualEntryThatCannotPass) { EXPECT_EQ(l.termination, Termination::Complete); } -// P8: Weighted gives the zero edge weight 0; source 0's share has no member and is source loss. +// Weighted gives the zero edge weight 0; source 0's share has no member and is source loss. TEST(Pooled, WeightedZeroRouteIsSourceLoss) { Case k(kB3Z, {0, 1}, {2}, cost_only(FlowPlacement::Weighted, Admission::Lossy)); const auto r = k.place(10); @@ -347,7 +342,7 @@ TEST(Pooled, EqualOriginLimitsTheTotal) { EXPECT_EQ(l.call_drops, (Drops {{0, 4}})); } -// P12, P13, P17 on CHAIN: source 1's traffic passes source 0's router. +// CHAIN: source 1's traffic passes source 0's router. TEST(Pooled, TransitThroughASource) { Case k(kChain, {0, 1}, {2}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)); const auto r = k.place(10); @@ -355,7 +350,7 @@ TEST(Pooled, TransitThroughASource) { EXPECT_EQ(r.call_drops, (Drops {{0, 7}})); EXPECT_EQ(rows(r), (std::vector {{0, 5, 5, 2, 0, 3}, {1, 5, 5, 1, 0, 4}})); EXPECT_EQ(k.records(), (decltype(k.records()) {{{{0, 2}}, 2}, {{{0, 1}, {1, 5}}, 1}})); - for (const auto& rec : k.p->records()) expect_conserved(*k.g, rec, "P12"); + for (const auto& rec : k.p->records()) expect_conserved(*k.g, rec, "transit through a source"); Case lossless(kChain, {0, 1}, {2}, cost_only()); const auto l = lossless.place(std::nullopt); EXPECT_EQ(l.placed, 3); @@ -369,7 +364,7 @@ TEST(Pooled, TransitThroughASource) { EXPECT_EQ(rows(h), (std::vector {{0, 3, 3, 0, 0, 3}, {1, 10, 10, 3, 0, 7}})); } -// P14: Residual weights read once, on the residual at the first positive call's entry. +// Residual weights read once, on the residual at the first positive call's entry. TEST(Pooled, ResidualWeightsOnTheCommonView) { auto snapshot = cost_only(FlowPlacement::Weighted, Admission::Lossless, sel(EdgeTieBreak::Deterministic, EdgePriority::Residual)); snapshot.weights = WeightBasis::ResidualSnapshot; @@ -379,7 +374,7 @@ TEST(Pooled, ResidualWeightsOnTheCommonView) { EXPECT_EQ(k.records(), (decltype(k.records()) {{{{0, 6}, {2, 1}, {3, 5}}, 6}, {{{1, 6}, {2, 1}, {3, 5}}, 6}})); } -// P15: the weights stay frozen for the epoch after the other owner leaves. +// The weights stay frozen for the epoch after the other owner leaves. TEST(Pooled, WeightsFrozenForTheEpoch) { const auto g = graph(kSnap); FlowLedger fg(g); @@ -395,7 +390,7 @@ TEST(Pooled, WeightsFrozenForTheEpoch) { EXPECT_EQ(*r.edge_flows, (std::vector {6, 6, 2, 10})); } -// P16: the first-hop experiment. +// The first-hop experiment. TEST(Pooled, FirstHopExperiment) { Case k(kPriv, {0, 1}, {2}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)); const auto r = k.place(std::nullopt); @@ -405,7 +400,7 @@ TEST(Pooled, FirstHopExperiment) { EXPECT_EQ(r.termination, Termination::Exhausted); } -// P18, P19 (properties): on random graphs with several sources, masks, zero capacities and dispersed +// On random graphs with several sources, masks, zero capacities and dispersed // costs, every pooled record (EB and W, both admissions, multipath or deterministic single paths) // carries and drops only on its own route, conserves its traffic, and the rows sum to the totals // with the accounting identities; the ledger stays within the capacities. @@ -484,9 +479,8 @@ TEST(Pooled, RecordsStayOnTheirRoutesAndAccountExactly) { EXPECT_GT(carrying, 200); } -// ---------------------------------------------------------------- increments and zero calls (I rows) +// ---------------------------------------------------------------- increments and zero calls -// I1 to I4. TEST(Increments, LosslessRefusedUnitsStayRefused) { Case k(kInc, {0, 1}, {2}, cost_only()); const auto a = k.place(3); @@ -509,7 +503,7 @@ TEST(Increments, LosslessRefusedUnitsStayRefused) { EXPECT_EQ(lo(lb.offered), 4); EXPECT_EQ(lb.delivered, 3); EXPECT_EQ(rows(lb), (std::vector {{0, 2, 2, 1, 0, 1}, {1, 2, 2, 2, 0, 0}})); - // I3: another owner holds 8, leaves, places 5. + // Another owner holds 8, leaves, places 5. const auto g = graph(kOne); FlowLedger fg(g); FlowPolicy other(fg, v({0}), v({1}), cost_only()); @@ -522,7 +516,6 @@ TEST(Increments, LosslessRefusedUnitsStayRefused) { EXPECT_EQ(r.placed, 1); EXPECT_EQ(lo(r.requested), 6); EXPECT_EQ(lo(r.unadmitted), 3); - // I4. Case rc(kRc, {0}, {1}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)); EXPECT_EQ(rc.place(1).placed, 1); EXPECT_EQ(rc.place(1).placed, 0); @@ -533,7 +526,7 @@ TEST(Increments, LosslessRefusedUnitsStayRefused) { EXPECT_EQ(*rc3.place(1, kEdges).edge_flows, (std::vector {1, 1})); } -// I5, I6 (RC02-zero-unprepared): a zero call before preparation, after a positive call, after +// A zero call before preparation, after a positive call, after // remove(). TEST(Epochs, ZeroCallBeforePreparation) { for (const bool global : {false, true}) { @@ -567,9 +560,9 @@ TEST(Epochs, ZeroCallBeforePreparation) { } } -// ---------------------------------------------------------------- the controllers (M, G rows) +// ---------------------------------------------------------------- the controllers -// M1 to M7: one controller on the union of the sources' shortest routes. +// One controller on the union of the sources' shortest routes. TEST(CostOnlyMaxFlow, OptimizedPoolsTheRoster) { struct Want { std::vector edges; @@ -599,14 +592,12 @@ TEST(CostOnlyMaxFlow, OptimizedPoolsTheRoster) { for (const auto& rec : k.p->records()) got.push_back(rec.edges); EXPECT_EQ(got, w.records); } - // M6. Case r4(kR4, {0, 1}, {2}, cost_only(FlowPlacement::MaxFlow, Admission::Lossless, std::nullopt, Origin::Equal)); EXPECT_EQ(r4.place(3).placed, 3); EXPECT_EQ(r4.place(3).placed, 1); EXPECT_EQ(*r4.place(0).total_cost, c(20)); } -// G1 to G7, G11. TEST(GlobalEqual, Examples) { struct Want { std::vector edges; @@ -639,16 +630,15 @@ TEST(GlobalEqual, Examples) { EXPECT_EQ(*r.edge_flows, w.flows); EXPECT_EQ(r.cost_distribution.has_value(), w.origin == Origin::Optimized); } - // G3: source 0's 6 is 2 direct and 4 through node 1. + // Source 0's 6 is 2 direct and 4 through node 1. Case b2(kB2, {0, 1}, {2}, glob(Origin::Equal)); (void)b2.place(12); EXPECT_EQ(b2.records(), (decltype(b2.records()) {{{{0, 4}, {1, 2}, {2, 4}}, 6}, {{{2, 6}}, 6}})); - // G6 B3-delete-zero. + // The source behind the zero-capacity link masked: it leaves the roster. Case masked(kB3Z, {0, 1}, {2}, glob(Origin::Equal), {0}); EXPECT_EQ(masked.place(10).placed, 10); } -// G8 to G10. TEST(GlobalEqual, Increments) { Case k(kR4, {0, 1}, {2}, glob(Origin::Equal)); const auto a = k.place(3); @@ -929,10 +919,8 @@ void certify_controllers(bool global) { } // namespace -// G16 (property). TEST(GlobalEqual, Certificates) { certify_controllers(true); } -// M8 (property). TEST(CostOnlyMaxFlow, Certificates) { certify_controllers(false); } // total_cost is exact beyond 64 bits, for both controllers under both origins (the values as @@ -972,7 +960,7 @@ TEST(ResultShape, TotalCostBeyond64Bits) { } } -// G12 to G15: min_cut is its own output, for the optimized Global only. +// min_cut is its own output, for the optimized Global only. TEST(GlobalMinCut, Flag) { for (const auto& [edges, t] : {std::pair {kB1, NodeId {3}}, std::pair {kB3Z, NodeId {2}}}) { Case k(edges, {0, 1}, {t}, glob()); @@ -997,9 +985,8 @@ TEST(GlobalMinCut, Flag) { EXPECT_EQ(*e.total_cost, c(0)); } -// ---------------------------------------------------------------- terminations and the result (T, S rows) +// ---------------------------------------------------------------- terminations and the result -// T1 to T5. TEST(Terminations, Order) { for (const auto& cfg : {glob(), cost_only(), cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)}) { Case k({{1, 0, 5, 1}}, {0}, {1}, cfg); @@ -1007,7 +994,7 @@ TEST(Terminations, Order) { const auto r = k.place(5); EXPECT_EQ(r.termination, Termination::NoRoute); if (cfg.admission == Admission::Lossy) { - // O2: nothing enters: the offer is all source loss, every row zero. + // Nothing enters: the offer is all source loss, every row zero. EXPECT_EQ(lo(r.offered), 5); EXPECT_EQ(lo(r.source_loss), 5); EXPECT_EQ(r.call_source_loss, 5); @@ -1031,7 +1018,7 @@ TEST(Terminations, Order) { EXPECT_EQ(unlimited.place(std::nullopt).termination, Termination::Exhausted); } -// T6: a controller whose maximum is 0 over existing routes is exhausted, not without a route. +// A controller whose maximum is 0 over existing routes is exhausted, not without a route. TEST(Terminations, ControllerAtZero) { Case g(kZero, {0}, {1}, glob()); EXPECT_EQ(g.place(5).termination, Termination::Exhausted); @@ -1039,7 +1026,7 @@ TEST(Terminations, ControllerAtZero) { EXPECT_EQ(m.place(5).termination, Termination::Exhausted); } -// S2: Lossless accounting (G1). +// Lossless accounting. TEST(ResultShape, LosslessAccounting) { Case k(kB1, {0, 1}, {3}, glob(Origin::Equal)); const auto r = k.place(12); @@ -1055,7 +1042,7 @@ TEST(ResultShape, LosslessAccounting) { EXPECT_EQ(rows(r), (std::vector {{0, kNone, 2, 2, 0, 0}, {1, kNone, 2, 2, 0, 0}})); } -// S3, S4: Lossy accounting (P12, I2): state versus call. +// Lossy accounting: state versus call. TEST(ResultShape, LossyAccounting) { Case k(kChain, {0, 1}, {2}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)); const auto r = k.place(10); @@ -1073,18 +1060,21 @@ TEST(ResultShape, LossyAccounting) { EXPECT_EQ(b.drops, (Counters {{0, c(1)}})); } -// S5, S6: a row for every input source; total_cost only for the controllers. +// A row for every input source; total_cost only for the controllers. TEST(ResultShape, RowsForEveryInputSource) { Case k(kRows, {0, 1, 4}, {3}, cost_only(), {4}); EXPECT_EQ(rows(k.place(3)), (std::vector {{0, kNone, 3, 3, 0, 0}, {1, kNone, 0, 0, 0, 0}, {4, kNone, 0, 0, 0, 0}})); const auto g = graph(kB1); const Pinned pin = pinned_dags(*g, 0, 3, {dag_of(*g, {0})}); - for (const auto& cfg : {cost_only(), cost_only(FlowPlacement::Weighted), - FlowPolicyConfig {.routing = CapacityAware {}, .placement = FlowPlacement::EqualBalanced}}) { + for (const auto& cfg : {cost_only(), cost_only(FlowPlacement::Weighted)}) { FlowLedger fg(g); EXPECT_FALSE(FlowPolicy(fg, v({0, 1}), v({3}), cfg).place(1).total_cost.has_value()); } + FlowLedger ft(g); + EXPECT_FALSE(FlowPolicy(ft, v({0, 1}), v({3}), FlowPolicyConfig {.routing = CapacityAware {Tunnels {1}}}) + .replace(1) + .total_cost.has_value()); FlowLedger fg(g); EXPECT_FALSE(FlowPolicy(fg, v({0}), v({3}), FlowPolicyConfig {.routing = pin}).place(1).total_cost.has_value()); FlowLedger fs(g); @@ -1094,18 +1084,7 @@ TEST(ResultShape, RowsForEveryInputSource) { EXPECT_EQ(*mf.place(12).total_cost, c(32)); } -// S7: CapacityAware keeps its per-source computation (offers 6 and 6). -TEST(ResultShape, CapacityAwareKeepsItsComputation) { - Case k(kB1, {0, 1}, {3}, FlowPolicyConfig {.routing = CapacityAware {}, .placement = FlowPlacement::EqualBalanced}); - const auto r = k.place(12); - EXPECT_EQ(r.placed, 8); - EXPECT_EQ(r.termination, Termination::Exhausted); - EXPECT_EQ(lo(r.requested), 12); - EXPECT_EQ(lo(r.unadmitted), 4); - EXPECT_EQ(rows(r), (std::vector {{0, kNone, 2, 2, 0, 0}, {1, kNone, 6, 6, 0, 0}})); -} - -// S8, S9 (D-zero-service): Pinned over a zero edge in the new shape. +// Pinned over a zero edge in the new shape. TEST(ResultShape, PinnedInTheNewShape) { const auto g = graph(kZero); FlowLedger fg(g); @@ -1127,9 +1106,8 @@ TEST(ResultShape, PinnedInTheNewShape) { EXPECT_EQ(e.termination, Termination::Complete); } -// ---------------------------------------------------------------- evaluators (V rows, Q7) +// ---------------------------------------------------------------- evaluators -// V1 to V4. TEST(Evaluators, CapacityUnderBothOrigins) { const auto g = graph(kB1); const std::vector> wants = { @@ -1149,7 +1127,6 @@ TEST(Evaluators, CapacityUnderBothOrigins) { EXPECT_EQ(r.termination, Termination::Exhausted); } -// V5. TEST(Evaluators, BatchEqual) { const auto g = graph(kB1); const std::vector, std::vector>> pairs = {{{0, 1}, {3}}, {{0}, {3}}, {{1}, {3}}}; @@ -1158,7 +1135,7 @@ TEST(Evaluators, BatchEqual) { EXPECT_EQ(got, (std::vector {4, 2, 10})); } -// Q7: the pooled single-path rule per pair, the lowest failing pair. +// The pooled single-path rule per pair, the lowest failing pair. TEST(Evaluators, BatchQ12PerPair) { const auto g = graph(kPool); const QueryOptions opts {cost_only(FlowPlacement::EqualBalanced, Admission::Lossless, kPreferPath)}; @@ -1168,7 +1145,7 @@ TEST(Evaluators, BatchQ12PerPair) { EXPECT_EQ(batch_capacity(*g, good, opts, {}, 1).size(), 2U); } -// V6 (B3-delete-zero): every allowed edge is a candidate under the equal origin. +// Every allowed edge is a candidate under the equal origin. TEST(Evaluators, SensitivityEqualGlobal) { for (int workers : {1, 2}) { const auto r = sensitivity(*graph(kB3Z), v({0, 1}), v({2}), QueryOptions {glob(Origin::Equal)}, workers); @@ -1179,7 +1156,7 @@ TEST(Evaluators, SensitivityEqualGlobal) { } } -// V7: pooled CostOnly: deleting e0 takes source 0 out of the roster. +// Pooled CostOnly: deleting e0 takes source 0 out of the roster. TEST(Evaluators, SensitivityPooled) { const auto r = sensitivity(*graph(kB1), v({0, 1}), v({3}), QueryOptions {cost_only()}, 1); EXPECT_EQ(r.baseline.placed, 4); diff --git a/tests/cpp/program_tests.cpp b/tests/cpp/program_tests.cpp index 7ff6c97..633d382 100644 --- a/tests/cpp/program_tests.cpp +++ b/tests/cpp/program_tests.cpp @@ -1,12 +1,10 @@ -// Forwarding programs (step 3), natively: what every model exports, Global with a support, the +// Forwarding programs, natively: what every model exports, Global with a support, the // weight bases, ForwardingProgram::from_routes, Pinned over programs, the lossless bound, the loss // rule inside one program (cycles included), replay under a failure mask, stale forwarding with // black holes, the operations evaluate, replace and forward with their epochs and flags, the // per-entry records, the by_tunnel rows and their 128-bit counters, the evaluators' offer, and -// today's Pinned mapped onto programs. Each test checks the hand-derived values of the step's -// expected-result rows (LEDGER rows P, G, W, F, C, L, Y, R, S, O, V, D, Z, E, M, named in each -// test) on small graphs whose EdgeIds equal their input positions (asserted); none is read from -// a build. Then the storage of the new layouts (a restricted plan, a forwarding view, an epoch) +// the earlier Pinned uses mapped onto programs. Each test checks hand-derived values on small +// graphs whose EdgeIds equal their input positions (asserted); none is read from a build. Then the storage of the new layouts (a restricted plan, a forwarding view, an epoch) // against borrowing copies, and a property test of random tunnel programs against the // independent reference of test_utils.hpp (program_reference). #include @@ -189,9 +187,7 @@ FlowPolicyConfig pinned_config(std::shared_ptr prog, Ad std::shared_ptr black_holes = nullptr) { return FlowPolicyConfig {.routing = Pinned {std::move(prog), std::move(black_holes)}, .admission = admission}; } -FlowPolicyConfig capacity_aware() { - return FlowPolicyConfig {.routing = CapacityAware {}, .placement = EB}; -} +FlowPolicyConfig capacity_aware() { return FlowPolicyConfig {.routing = CapacityAware {Tunnels {1}}}; } Pol pinned(const std::shared_ptr& g, const std::shared_ptr& prog, Admission admission = LOSSLESS, std::shared_ptr elig = nullptr, @@ -207,7 +203,7 @@ Rows rows(const PlacementResult& r) { } Listing listing(const ForwardingProgram& p) { Listing out; - for (const auto& t : p.tunnels()) out.emplace_back(t.head, t.edges, t.weight); + for (const auto& t : p.tunnels()) out.emplace_back(t.head, t.edges.value_or(std::vector {}), t.weight); return out; } std::vector> entries(const FlowPolicy& p) { @@ -249,9 +245,9 @@ const std::string kRoundLimit = "lossy forwarding iteration did not reach a fixe } // namespace -// ---------------------------------------------------------------- P: exported programs +// ---------------------------------------------------------------- exported programs -// P1, Z2: B1, Global optimized, place(12). +// B1, Global optimized, place(12). TEST(ProgramExport, GlobalOptimized) { const auto g = graph(4, kB1); auto p = make(g, {0, 1}, {3}, global()); @@ -260,7 +256,7 @@ TEST(ProgramExport, GlobalOptimized) { const auto& prog = *r.program; EXPECT_EQ(listing(prog), (Listing {{0, {0}, 2}, {1, {1, 2}, 10}})); std::vector> fields; - for (const auto& t : prog.tunnels()) fields.emplace_back(t.index, t.local_index, t.destination, t.route_cost); + for (const auto& t : prog.tunnels()) fields.emplace_back(t.index, t.local_index, *t.destination, *t.route_cost); EXPECT_EQ(fields, (std::vector> {{0, 0, 3, 1}, {1, 0, 3, 3}})); ASSERT_TRUE(prog.source_weights().has_value()); EXPECT_EQ(*prog.source_weights(), (std::vector> {{0, 2}, {1, 10}})); @@ -272,7 +268,7 @@ TEST(ProgramExport, GlobalOptimized) { EXPECT_EQ(p->program(), r.program); } -// P2: the equal origin admits 4 and keeps no source weights. +// The equal origin admits 4 and keeps no source weights. TEST(ProgramExport, GlobalEqual) { const auto g = graph(4, kB1); auto p = make(g, {0, 1}, {3}, global(Origin::Equal)); @@ -282,20 +278,20 @@ TEST(ProgramExport, GlobalEqual) { EXPECT_FALSE(r.program->source_weights().has_value()); } -// P3: one source is decomposed too (R12). +// One source is decomposed too. TEST(ProgramExport, SingleSourceDecomposed) { const auto g = graph(4, kES); auto p = make(g, {0}, {3}, global()); const auto r = p->place(12); EXPECT_EQ(listing(*r.program), (Listing {{0, {0, 2}, 2}, {0, {1, 3}, 10}})); std::vector> fields; - for (const auto& t : r.program->tunnels()) fields.emplace_back(t.local_index, t.route_cost); + for (const auto& t : r.program->tunnels()) fields.emplace_back(t.local_index, *t.route_cost); EXPECT_EQ(fields, (std::vector> {{0, 2}, {1, 3}})); EXPECT_EQ(r.total_cost, c(34)); EXPECT_EQ(*r.program->source_weights(), (std::vector> {{0, 12}})); } -// P4: CostOnly MaxFlow exports its controller's paths. +// CostOnly MaxFlow exports its controller's paths. TEST(ProgramExport, CostOnlyMaxFlow) { const auto g = graph(4, kES); auto p = make(g, {0}, {3}, cost_only(MF)); @@ -305,7 +301,7 @@ TEST(ProgramExport, CostOnlyMaxFlow) { EXPECT_EQ(*r.program->source_weights(), (std::vector> {{0, 2}})); } -// P5, Z3: a CostOnly split program lists no tunnel. +// A CostOnly split program lists no tunnel. TEST(ProgramExport, CostOnlySplit) { const auto g = graph(4, kPool2); auto p = make(g, {0, 1}, {3}, cost_only()); @@ -318,7 +314,7 @@ TEST(ProgramExport, CostOnlySplit) { EXPECT_TRUE(r.by_tunnel.empty()); } -// P7: every roster source keeps its source weight, zero included (R20). +// Every roster source keeps its source weight, zero included. TEST(ProgramExport, ZeroSupplyKept) { const auto g = graph(3, {{0, 2, 5, 1}, {1, 2, 5, 1}}); auto p = make(g, {0, 1}, {2}, global()); @@ -327,7 +323,7 @@ TEST(ProgramExport, ZeroSupplyKept) { EXPECT_EQ(*r.program->source_weights(), (std::vector> {{0, 1}, {1, 0}})); } -// P8: no program before the first positive call; a zero call reports none. +// No program before the first positive call; a zero call reports none. TEST(ProgramExport, NoneBeforePreparation) { const auto g = graph(3, {{0, 2, 5, 1}, {1, 2, 5, 1}}); for (const auto& cfg : {global(), cost_only()}) { @@ -342,17 +338,7 @@ TEST(ProgramExport, NoneBeforePreparation) { } } -// P9: today's CapacityAware has no program (O1). -TEST(ProgramExport, CapacityAwareHasNone) { - const auto g = graph(2, kOne); - auto p = make(g, {0}, {1}, capacity_aware()); - const auto r = p->place(5); - EXPECT_EQ(r.placed, 5); - EXPECT_EQ(r.program, nullptr); - EXPECT_EQ(p->program(), nullptr); -} - -// P10: B1's optimized program forwarded by Pinned reproduces the solve. +// B1's optimized program forwarded by Pinned reproduces the solve. TEST(ProgramExport, ReplayReproducesTheSolve) { const auto g = graph(4, kB1); auto solver = make(g, {0, 1}, {3}, global()); @@ -365,7 +351,7 @@ TEST(ProgramExport, ReplayReproducesTheSolve) { EXPECT_EQ(pinned(g, prog)->place(INF).placed, 12); } -// P11: the producer's mask is saved: no replay brings source 1 back (R10). +// The producer's mask is saved: no replay brings source 1 back. TEST(ProgramExport, MaskSaved) { const auto g = graph(4, kB1); auto masked = make(g, {0, 1}, {3}, global(), no_nodes(*g, {1})); @@ -379,7 +365,7 @@ TEST(ProgramExport, MaskSaved) { EXPECT_EQ(lo(lossy.by_source[1].offered), 0); } -// P12: an empty roster installs an empty program (R22). +// An empty roster installs an empty program. TEST(ProgramExport, EmptyRoster) { const auto g = graph(2, kOne); auto p = make(g, {0}, {1}, cost_only(), no_nodes(*g, {0})); @@ -392,7 +378,7 @@ TEST(ProgramExport, EmptyRoster) { EXPECT_FALSE(r.weights_changed); } -// P6: the policy's program is the configured one (R14). +// The policy's program is the configured one. TEST(PinnedProgram, ProgramIsTheConfiguredOne) { const auto g = graph(4, kB1); auto solver = make(g, {0, 1}, {3}, global()); @@ -404,9 +390,9 @@ TEST(PinnedProgram, ProgramIsTheConfiguredOne) { EXPECT_EQ(listing(*r.program), listing(*prog)); } -// ---------------------------------------------------------------- G: Global with a support +// ---------------------------------------------------------------- Global with a support -// GS1: only the support carries traffic; no cut, no curve. +// Only the support carries traffic; no cut, no curve. TEST(GlobalSupport, OnlyTheSupport) { const auto g = graph(4, kES); auto p = make(g, {0}, {3}, global(std::nullopt, dag_of(*g, {1, 3}))); @@ -421,7 +407,7 @@ TEST(GlobalSupport, OnlyTheSupport) { EXPECT_EQ(full.total_cost, c(34)); } -// GS2: e0 leads nowhere inside the support: trimmed. +// e0 leads nowhere inside the support: trimmed. TEST(GlobalSupport, Trimmed) { const auto g = graph(4, kES); const auto r = make(g, {0}, {3}, global(std::nullopt, dag_of(*g, {0, 1, 3})))->place(12, kEdges); @@ -429,7 +415,7 @@ TEST(GlobalSupport, Trimmed) { EXPECT_EQ(*r.edge_flows, (Amounts {0, 10, 0, 10})); } -// GS3: the mask removes the support: an empty roster. +// The mask removes the support: an empty roster. TEST(GlobalSupport, MaskRemovesSupport) { const auto g = graph(4, kES); const auto r = make(g, {0}, {3}, global(std::nullopt, dag_of(*g, {1, 3})), no_edges(*g, {3}))->place(12); @@ -439,7 +425,7 @@ TEST(GlobalSupport, MaskRemovesSupport) { EXPECT_TRUE(r.program->tunnels().empty()); } -// GS4: the equal origin on a support: RR(4, 2) fits, RR(5, 2) does not. +// The equal origin on a support: RR(4, 2) fits, RR(5, 2) does not. TEST(GlobalSupport, EqualOrigin) { const auto g = graph(3, kB2); const auto r = make(g, {0, 1}, {2}, global(Origin::Equal, dag_of(*g, {1, 2})))->place(12); @@ -447,7 +433,7 @@ TEST(GlobalSupport, EqualOrigin) { EXPECT_EQ(r.total_cost, c(4)); } -// GS5: every allowed link of a support is a candidate, no shortcut. +// Every allowed link of a support is a candidate, no shortcut. TEST(GlobalSupport, Sensitivity) { const auto g = graph(4, kES); const auto s = sensitivity(*g, v({0}), v({3}), query(global(std::nullopt, dag_of(*g, {1, 3}))), 1); @@ -455,7 +441,7 @@ TEST(GlobalSupport, Sensitivity) { EXPECT_EQ(losses(s), (std::vector> {{0, 0}, {1, 10}, {2, 0}, {3, 10}})); } -// GS6, Z6: total_cost 2^70 (high half 64, low half 0). +// total_cost 2^70 (high half 64, low half 0). TEST(GlobalSupport, TotalCostBeyond64Bits) { const auto g = graph(2, {{0, 1, Amount {1} << 40, Cost {1} << 30}}); const auto r = make(g, {0}, {1}, global(std::nullopt, dag_of(*g, {0})))->place(Amount {1} << 40); @@ -465,7 +451,7 @@ TEST(GlobalSupport, TotalCostBeyond64Bits) { EXPECT_EQ(r.total_cost->lo, 0U); } -// GS7: a support of another graph. +// A support of another graph. TEST(GlobalSupport, Ownership) { const auto g = graph(2, {{0, 1, 1, 1}}); const auto other = graph(2, {{0, 1, 1, 1}}); @@ -474,9 +460,9 @@ TEST(GlobalSupport, Ownership) { "support belongs to another graph"); } -// ---------------------------------------------------------------- W: weight bases +// ---------------------------------------------------------------- weight bases -// W1, W12: E-configured; CAPACITY weights give (6, 6); the lossless bound 15. +// Configured weights; CAPACITY weights give (6, 6); the lossless bound 15. TEST(WeightBases, Explicit) { const auto g = par2(10, 10); EXPECT_EQ(*make(g, {0}, {1}, weighted(LOSSY, WeightBasis::Explicit, {1, 2}))->place(12, kEdges).edge_flows, @@ -487,7 +473,7 @@ TEST(WeightBases, Explicit) { EXPECT_EQ(capacity(*g, v({0}), v({1}), query(ll)).placed, 15); } -// S3-01 (review): legal weights below 2^62 each may sum to 2^64 or more; the sum is exact. Eight +// Legal weights below 2^62 each may sum to 2^64 or more; the sum is exact. Eight // equal weights of 2^61 (sum 2^64) and of 2^62 - 1 split 8 units as RR(8, 8) = one each; unequal // weights (2^62 - 1, 2^61, 2^61 + 1, 1), W = 2^63 + 1: H(9, w) = (5, 2, 2, 0). Through the helper, // tunnels and explicit WCMP, both admissions. @@ -502,11 +488,11 @@ TEST(WeightBases, WeightSumsBeyond64Bits) { for (EdgeId e = 0; e < 8; ++e) specs.emplace_back(0, std::vector {e}, w); for (const auto admission : {LOSSLESS, LOSSY}) { auto t = pinned(g, tunnels(*g, {0}, {1}, specs), admission); - const auto r = t->replace(8, kEdges); + const auto r = t->replace(8, std::nullopt, kEdges); EXPECT_EQ(r.placed, 8) << w; EXPECT_EQ(*r.edge_flows, Amounts(8, 1)) << w; EXPECT_TRUE(r.source_loss.is_zero()) << w; - const auto x = make(g, {0}, {1}, weighted(admission, WeightBasis::Explicit, Amounts(8, w)))->replace(8, kEdges); + const auto x = make(g, {0}, {1}, weighted(admission, WeightBasis::Explicit, Amounts(8, w)))->replace(8, std::nullopt, kEdges); EXPECT_EQ(x.placed, 8) << w; EXPECT_EQ(*x.edge_flows, Amounts(8, 1)) << w; } @@ -520,7 +506,7 @@ TEST(WeightBases, WeightSumsBeyond64Bits) { EXPECT_EQ(out, Amounts(8, 1)); } -// W2: E-snapshot over the baseline (2, 10). +// Snapshot weights over the baseline (2, 10). TEST(WeightBases, Snapshot) { const auto g = par2(10, 10); const Amounts base = {2, 10}; @@ -530,7 +516,7 @@ TEST(WeightBases, Snapshot) { 12); } -// W3: the priority no longer chooses weights (CAPACITY is the default). +// The priority no longer chooses weights (CAPACITY is the default). TEST(WeightBases, PriorityIsNotAWeight) { const auto g = par2(10, 10); auto cfg = cost_only(W); @@ -540,7 +526,7 @@ TEST(WeightBases, PriorityIsNotAWeight) { EXPECT_EQ(p->config().weights, WeightBasis::Capacity); } -// W4: a positive weight on an edge of capacity 0 becomes 0: all 7 on e1, no drop. +// A positive weight on an edge of capacity 0 becomes 0: all 7 on e1, no drop. TEST(WeightBases, ExplicitOnZeroCapacity) { const auto g = par2(0, 10); const auto r = make(g, {0}, {1}, weighted(LOSSY, WeightBasis::Explicit, {5, 1}))->place(7); @@ -548,7 +534,7 @@ TEST(WeightBases, ExplicitOnZeroCapacity) { EXPECT_TRUE(r.call_drops.empty()); } -// W5: a zero weight prunes its edge. +// A zero weight prunes its edge. TEST(WeightBases, ExplicitZeroPrunes) { const auto g = par2(10, 10); EXPECT_EQ(make(g, {0}, {1}, weighted(LOSSLESS, WeightBasis::Explicit, {0, 3}))->place(12).placed, 10); @@ -557,7 +543,7 @@ TEST(WeightBases, ExplicitZeroPrunes) { EXPECT_EQ(r.call_drops, (Drops {{1, 2}})); } -// W6: every weight 0: NO_ACTIVE_WEIGHT; Lossy loses the offer at the source. +// Every weight 0: NO_ACTIVE_WEIGHT; Lossy loses the offer at the source. TEST(WeightBases, AllZeroIsNoActiveWeight) { const auto g = par2(10, 10); for (const auto& [adm, loss] : {std::pair {LOSSY, Amount {5}}, std::pair {LOSSLESS, Amount {0}}}) { @@ -568,7 +554,7 @@ TEST(WeightBases, AllZeroIsNoActiveWeight) { } } -// W7: Weighted with the Headroom priority is accepted (CostOnly): the single path is e1. +// Weighted with the Headroom priority is accepted (CostOnly): the single path is e1. TEST(WeightBases, WeightedWithHeadroom) { const auto g = par2(10, 10); auto cfg = cost_only(W); @@ -577,7 +563,7 @@ TEST(WeightBases, WeightedWithHeadroom) { EXPECT_EQ(p->place(12).placed, 10); } -// W8: the snapshot is frozen for the epoch: call 2 splits 6 as H(6, (2, 10)) = (1, 5), both +// The snapshot is frozen for the epoch: call 2 splits 6 as H(6, (2, 10)) = (1, 5), both // dropped. TEST(WeightBases, SnapshotFrozenForTheEpoch) { const auto g = par2(10, 10); @@ -590,7 +576,7 @@ TEST(WeightBases, SnapshotFrozenForTheEpoch) { EXPECT_EQ(r.call_source_loss, 0); } -// W9, W10: the texts of the weight fields (the bool entry is the binding's conversion). +// The texts of the weight fields (the bool entry is the binding's conversion). TEST(WeightBases, MatrixTexts) { const auto g = par2(10, 10); FlowLedger fg(g); @@ -620,7 +606,7 @@ TEST(WeightBases, MatrixTexts) { ""); } -// W11: one configuration's edge_weights array is shared by every policy built from it (R11). +// One configuration's edge_weights array is shared by every policy built from it. TEST(WeightBases, SharedArray) { const auto g = par2(10, 10); const auto cfg = weighted(LOSSLESS, WeightBasis::Explicit, {1, 2}); @@ -636,9 +622,9 @@ TEST(WeightBases, SharedArray) { EXPECT_NE(detail::PolicyAccess::engine(c2).config.edge_weights.get(), buffer); } -// ---------------------------------------------------------------- F: from_routes +// ---------------------------------------------------------------- from_routes -// F1 to F22: the validation texts in order (graph PAR2(4, 8), 0 -> 1 unless stated). +// The validation texts in order (graph PAR2(4, 8), 0 -> 1 unless stated). TEST(FromRoutes, Texts) { const auto g = par2(4, 8); const auto p0 = tunnel_route(*g, 0, {0}); @@ -696,7 +682,7 @@ TEST(FromRoutes, Texts) { EXPECT_EQ(err({0}, {1}, {p0, tunnel_route(*g, 0, {1}, -1)}), "routes[1]: weight must be an integer in [0, 2^62)"); } -// F23: the routes in list order, each route's checks in order. +// The routes in list order, each route's checks in order. TEST(FromRoutes, Order) { const auto g = par2(4, 8); EXPECT_EQ(error_of([&] { @@ -708,7 +694,7 @@ TEST(FromRoutes, Order) { "routes[0]: head 1 is not a source"); } -// F24: a zero-weight route keeps its index and is validated in full. +// A zero-weight route keeps its index and is validated in full. TEST(FromRoutes, ZeroWeightKept) { const auto g = par2(4, 8); const auto prog = program(*g, {0}, {1}, {tunnel_route(*g, 0, {0}, 0), tunnel_route(*g, 0, {1})}); @@ -719,7 +705,7 @@ TEST(FromRoutes, ZeroWeightKept) { "routes[0]: head 1 is not a source"); } -// F25: tunnels listed with indices 0 and 2 (the split route takes 1); local_index 0 and 2 (R2). +// Tunnels listed with indices 0 and 2 (the split route takes 1); local_index 0 and 2. TEST(FromRoutes, MixedIndices) { const auto g = par2(4, 8); const auto prog = @@ -729,7 +715,7 @@ TEST(FromRoutes, MixedIndices) { EXPECT_EQ(got, (std::vector> {{0, 0}, {2, 2}})); } -// F26: the endpoints are normalized like a policy's (sorted, duplicates removed). +// The endpoints are normalized like a policy's (sorted, duplicates removed). TEST(FromRoutes, Endpoints) { const auto d = graph(4, kDiam); const auto prog = program(*d, {1, 0, 1}, {3, 3}, {tunnel_route(*d, 0, {0, 2})}); @@ -737,9 +723,9 @@ TEST(FromRoutes, Endpoints) { EXPECT_EQ(vec(prog->destinations()), v({3})); } -// ---------------------------------------------------------------- C: Pinned's configuration +// ---------------------------------------------------------------- Pinned's configuration -// C1: the fields Pinned does not accept, in column order. +// The fields Pinned does not accept, in column order. TEST(PinnedProgram, FieldTexts) { const auto g = par2(4, 8); const auto prog = tunnels(*g, {0}, {1}, {{0, {0}, 1}}); @@ -766,7 +752,7 @@ TEST(PinnedProgram, FieldTexts) { for (const auto& [cfg, text] : cases) EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), cfg); }), text); } -// C2: the program's endpoints must be the policy's. +// The program's endpoints must be the policy's. TEST(PinnedProgram, Endpoints) { const auto g = graph(3, {{0, 1, 1, 1}, {0, 2, 1, 1}}); const auto prog = tunnels(*g, {0}, {1}, {{0, {0}, 1}}); @@ -776,7 +762,7 @@ TEST(PinnedProgram, Endpoints) { EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1, 1}), pinned_config(prog)); }), ""); } -// C3, C4: the ownership texts, before the configuration matrix (ERR-ownership-texts). +// The ownership texts, before the configuration matrix. TEST(PinnedProgram, Ownership) { const auto g = par2(4, 8); const auto other = par2(4, 8); @@ -803,7 +789,7 @@ TEST(PinnedProgram, Ownership) { "foreign Eligibility: built for another graph"); } -// C5: the endpoint sets come first. +// The endpoint sets come first. TEST(PinnedProgram, Order) { const auto g = par2(4, 8); const auto foreign = tunnels(*par2(4, 8), {0}, {1}, {{0, {0}, 1}}); @@ -812,7 +798,7 @@ TEST(PinnedProgram, Order) { "sources: the node set is empty"); } -// C8: several sources and destinations. +// Several sources and destinations. TEST(PinnedProgram, SeveralEndpoints) { const auto g = graph(4, kRel); const auto prog = tunnels(*g, {0, 1}, {3}, {{0, {0, 2}, 1}, {1, {1, 2}, 1}}); @@ -822,7 +808,7 @@ TEST(PinnedProgram, SeveralEndpoints) { EXPECT_EQ(pinned(two, many)->place(INF).placed, 6); // RR(6, 2) = (3, 3) fits, RR(7, 2) = (4, 3) does not } -// ---------------------------------------------------------------- L: lossless bounds +// ---------------------------------------------------------------- lossless bounds namespace { Amount bound(const std::shared_ptr& g, const std::vector& specs, const std::vector& s = {0}, @@ -831,8 +817,8 @@ Amount bound(const std::shared_ptr& g, const std::vector& spe } } // namespace -// L1 to L6: E-duplicates, E-deduplicated, E-static-path-fill, E-zero-first, E-zero-last, -// E-support-pinned-bound. +// Lossless bounds: duplicate routes, deduplicated routes, a static path filled, a zero first or +// last link, a support's Pinned bound. TEST(PinnedProgram, Duplicates) { EXPECT_EQ(bound(par2(4, 8), {{0, {0}, 1}, {0, {1}, 1}, {0, {1}, 1}}), 12); EXPECT_EQ(bound(par2(4, 8), {{0, {0}, 1}, {0, {1}, 1}}), 8); @@ -840,17 +826,17 @@ TEST(PinnedProgram, Duplicates) { EXPECT_EQ(bound(par2(0, 4), {{0, {0}, 1}, {0, {1}, 1}}), 0); EXPECT_EQ(bound(par2(4, 0), {{0, {0}, 1}, {0, {1}, 1}}), 1); EXPECT_EQ(bound(graph(4, kPinloss), {{0, {0, 2}, 1}, {0, {1, 3}, 1}}, {0}, {3}), 4); - // Records per entry: L1's three records, entries 0, 1, 2 (D2 below compares their rows). + // Records per entry: the duplicates' three records, entries 0, 1, 2. const auto g = par2(4, 8); auto p = pinned(g, tunnels(*g, {0}, {1}, {{0, {0}, 1}, {0, {1}, 1}, {0, {1}, 1}})); (void)p->place(INF); EXPECT_EQ(delivered(*p.p), (Amounts {4, 4, 4})); } -// L7: H(15, (1, 2)) = (5, 10) fits, H(16) = (5, 11) does not. +// H(15, (1, 2)) = (5, 10) fits, H(16) = (5, 11) does not. TEST(PinnedProgram, WeightedTunnels) { EXPECT_EQ(bound(par2(10, 10), {{0, {0}, 1}, {0, {1}, 2}}), 15); } -// L8, D3: a weight-0 tunnel carries nothing; its record and row exist with zeros. +// A weight-0 tunnel carries nothing; its record and row exist with zeros. TEST(PinnedProgram, ZeroWeight) { const auto g = par2(4, 8); auto p = pinned(g, tunnels(*g, {0}, {1}, {{0, {0}, 0}, {0, {1}, 1}})); @@ -865,7 +851,7 @@ TEST(PinnedProgram, ZeroWeight) { EXPECT_EQ(delivered(*q.p), (Amounts {0, 1})); } -// L9 to L11: INC-lossless, INC-lossy, INC-lossless-refusal. +// Increments, Lossless and Lossy, and a Lossless increment's refused units. TEST(PinnedProgram, Increments) { const auto g = graph(3, kInc); const auto prog = tunnels(*g, {0, 1}, {2}, {{0, {0}, 1}, {1, {1}, 1}}); @@ -892,7 +878,7 @@ TEST(PinnedProgram, Increments) { EXPECT_EQ(t->place(1).placed, 1); } -// L12, L13: +inf is the bound, EXHAUSTED; Lossy rejects it. +// +inf is the bound, EXHAUSTED; Lossy rejects it. TEST(PinnedProgram, Infinite) { const auto g = par2(6, 4); const auto prog = tunnels(*g, {0}, {1}, {{0, {0}, 1}, {0, {1}, 1}}); @@ -905,7 +891,7 @@ TEST(PinnedProgram, Infinite) { EXPECT_EQ(error_of([&] { (void)lossy->place(INF); }), kFinite); } -// L14: a tunnel and a split route side by side: RR(8, 2) = (4, 4). +// A tunnel and a split route side by side: RR(8, 2) = (4, 4). TEST(PinnedProgram, MixedEntries) { const auto g = par2(4, 8); auto p = pinned(g, program(*g, {0}, {1}, {tunnel_route(*g, 0, {0}), dag_route(*g, 0, {1})})); @@ -916,13 +902,13 @@ TEST(PinnedProgram, MixedEntries) { EXPECT_EQ(rows(r), (Rows {{0, 0, UP, 4, 4, 0}})); } -// L15: E-split-contexts (each identical route splits its own unit) and E-split-contexts-pooled. +// Split contexts: each identical route splits its own unit, also pooled. TEST(PinnedProgram, SplitContextsAreSeparate) { const auto g = par2(1, 1); const auto d = dag_of(*g, {0, 1}); const auto prog = program(*g, {0}, {1}, {Route {0, d, 1}, Route {0, d, 1}}); EXPECT_EQ(pinned(g, prog)->place(INF).placed, 1); - const auto r = pinned(g, prog, LOSSY)->replace(2, kEdges); + const auto r = pinned(g, prog, LOSSY)->replace(2, std::nullopt, kEdges); EXPECT_EQ(r.call_drops, (Drops {{0, 1}})); EXPECT_EQ(*r.edge_flows, (Amounts {1, 0})); const auto pooled = make(g, {0}, {1}, cost_only())->place(INF, kEdges); @@ -930,7 +916,7 @@ TEST(PinnedProgram, SplitContextsAreSeparate) { EXPECT_EQ(*pooled.edge_flows, (Amounts {1, 1})); } -// ---------------------------------------------------------------- Y: losses inside one program +// ---------------------------------------------------------------- losses inside one program namespace { struct LossyRun { @@ -951,8 +937,8 @@ Amounts delivered_of(const LossyRun& x) { } } // namespace -// Y1 to Y8: D-merge, D-key-tie, D-rounding, D-hierarchy, D-zero-service, D-subdivision-before -// and -after, E-support-pinned-loss (Z1's rows). +// Losses inside one program: a merge, a tie of the split keys, the rounding, the split hierarchy, +// a link of service 0, subdividing a link before or after, a support's Pinned loss. TEST(ProgramLossy, Merge) { EXPECT_EQ(lossy_rows(graph(2, {{0, 1, 9, 1}}), {0}, {1}, {{0, {0}, 2}, {0, {0}, 1}}, 12).got, (Triples {{8, 6, 2}, {4, 3, 1}})); @@ -980,7 +966,7 @@ TEST(ProgramLossy, Merge) { EXPECT_EQ(pin.r.placed, 8); } -// Y9: no link can drop (U0 = 2 on both barriers' candidates): no rounds. +// No link can drop (U0 = 2 on both barriers' candidates): no rounds. TEST(ProgramCycles, NoBarrierNoRounds) { const auto run = lossy_rows(cyc(2, 2), {4}, {5}, {{4, kCycT0, 1}, {4, kCycT1, 1}}, 2); EXPECT_EQ(delivered_of(run), (Amounts {1, 1})); @@ -991,7 +977,7 @@ TEST(ProgramCycles, NoBarrierNoRounds) { #endif } -// Y10: X and Y wait on each other; the rounds from zero settle at round 3. +// X and Y wait on each other; the rounds from zero settle at round 3. TEST(ProgramCycles, Converges) { const auto run = lossy_rows(cyc(1, 1), {4}, {5}, {{4, kCycT0, 1}, {4, kCycT1, 1}}, 2); EXPECT_EQ(run.got, (Triples {{1, 1, 0}, {1, 0, 1}})); @@ -1002,7 +988,7 @@ TEST(ProgramCycles, Converges) { #endif } -// Y11: amounts (1, 2): the rounds alternate between two states; nothing is published. +// Amounts (1, 2): the rounds alternate between two states; nothing is published. TEST(ProgramCycles, PeriodTwo) { const auto g = cyc(1, 2); auto p = pinned(g, tunnels(*g, {4}, {5}, {{4, kCycT0, 1}, {4, kCycT1, 2}}), LOSSY); @@ -1021,7 +1007,7 @@ TEST(ProgramCycles, PeriodTwo) { EXPECT_EQ(error_of([&] { (void)p->evaluate(3); }), kPeriodTwo); } -// Y12: three barriers that never settle: the round limit 64 * 3. +// Three barriers that never settle: the round limit 64 * 3. TEST(ProgramCycles, RoundLimit) { const auto lim = graph(8, {{0, 1, 1, 1}, {1, 4, 1000, 1}, {2, 3, 2, 1}, {3, 0, 1000, 1}, {3, 7, 1000, 1}, {4, 5, 1, 1}, {5, 2, 1000, 1}, {5, 7, 1000, 1}, {6, 0, 1000, 1}, {6, 2, 1000, 1}}); @@ -1033,7 +1019,7 @@ TEST(ProgramCycles, RoundLimit) { #endif } -// Y13, Y14: Y split in two in series changes nothing (serial normalization). +// Y split in two in series changes nothing (serial normalization). TEST(ProgramCycles, SubdivisionInvariant) { const auto run = lossy_rows(cycs(1, 1, 1), {4}, {5}, {{4, kCycsT0, 1}, {4, kCycsT1, 1}}, 2); EXPECT_EQ(run.got, (Triples {{1, 1, 0}, {1, 0, 1}})); @@ -1044,7 +1030,7 @@ TEST(ProgramCycles, SubdivisionInvariant) { } #if NETGRAPH_CORE_PRIVATE_HOOKS -// Y15 through the hook: an iterated result corrupted after its rounds fails the independent check +// Through the hook: an iterated result corrupted after its rounds fails the independent check // with std::runtime_error, and nothing is published. TEST(ProgramCycles, VerificationCatchesACorruptedResult) { const auto g = cyc(1, 1); @@ -1067,7 +1053,7 @@ TEST(ProgramCycles, VerificationCatchesACorruptedResult) { } #endif -// ---------------------------------------------------------------- R: replay under a mask +// ---------------------------------------------------------------- replay under a mask namespace { // G1U's optimized program: [(0, [e0, e2], 2), (0, [e1, e3], 10)]. @@ -1079,7 +1065,7 @@ std::shared_ptr g1u_program(const std::shared_ptrplace(INF).placed, 10); } -// R2: E-source-survivor: H(16, (3, 1)) = (12, 4). +// The surviving sources' captured weights: H(16, (3, 1)) = (12, 4). TEST(Replay, SourceSurvivor) { const auto g = graph(4, kSurv); auto solver = make(g, {0, 1, 2}, {3}, global()); @@ -1106,7 +1092,7 @@ TEST(Replay, SourceSurvivor) { EXPECT_EQ(pinned(g, prog, LOSSLESS, no_nodes(*g, {2}))->place(INF).placed, 4); } -// R3: the topology basis keeps head 1 (it still reaches 2 over e2) and it loses its share. +// The topology basis keeps head 1 (it still reaches 2 over e2) and it loses its share. TEST(Replay, TopologyBasisKeepsTheHead) { const auto g = graph(3, kRB); auto solver = make(g, {0, 1}, {2}, global()); @@ -1118,7 +1104,7 @@ TEST(Replay, TopologyBasisKeepsTheHead) { EXPECT_EQ(pinned(g, prog, LOSSLESS, no_edges(*g, {1}))->place(INF).placed, 1); } -// R4: the supplied basis drops head 1: head 0 gets all 10. +// The supplied basis drops head 1: head 0 gets all 10. TEST(Replay, SuppliedBasisDropsTheHead) { const auto g = graph(3, kRB); const auto prog = tunnels(*g, {0, 1}, {2}, {{0, {0}, 1}, {1, {1}, 1}}); @@ -1129,7 +1115,7 @@ TEST(Replay, SuppliedBasisDropsTheHead) { EXPECT_EQ(pinned(g, prog, LOSSLESS, no_edges(*g, {1}))->place(INF).placed, 5); } -// R5: a link of free capacity 0 is not a failure. +// A link of free capacity 0 is not a failure. TEST(Replay, ZeroCapacityIsNotFailed) { const auto g = graph(4, kG1U); const auto prog = g1u_program(g); @@ -1140,7 +1126,7 @@ TEST(Replay, ZeroCapacityIsNotFailed) { EXPECT_EQ(r.call_drops, (Drops {{1, 10}})); } -// R6: the remaining head's captured weight is 0: the whole offer is lost at the sources. +// The remaining head's captured weight is 0: the whole offer is lost at the sources. TEST(Replay, AllRemainingWeightsZero) { const auto g = graph(3, {{0, 2, 5, 1}, {1, 2, 5, 1}}); auto solver = make(g, {0, 1}, {2}, global()); @@ -1155,17 +1141,17 @@ TEST(Replay, AllRemainingWeightsZero) { EXPECT_EQ(ll.placed, 0); } -// R7: STALE-remote-tail-repair: the branch 0 -> 2 is pruned. +// A stale remote tail repaired: the branch 0 -> 2 is pruned. TEST(Replay, SplitRoutePruned) { const auto g = graph(4, kDiam); auto producer = make(g, {0}, {3}, cost_only(EB, LOSSY)); const auto prog = producer->place(1).program; - const auto r = pinned(g, prog, LOSSY, no_edges(*g, {3}))->replace(100, kEdges); + const auto r = pinned(g, prog, LOSSY, no_edges(*g, {3}))->replace(100, std::nullopt, kEdges); EXPECT_EQ(r.placed, 100); EXPECT_EQ(*r.edge_flows, (Amounts {100, 0, 100, 0})); } -// R8: STALE-tunnel-node-repair. +// A tunnel failed by its node. TEST(Replay, TunnelFailedByNode) { const auto g = graph(4, kTun); const auto prog = tunnels(*g, {0}, {3}, {{0, {0, 2}, 1}, {0, {1, 3}, 1}}); @@ -1175,7 +1161,7 @@ TEST(Replay, TunnelFailedByNode) { EXPECT_EQ(pinned(g, prog, LOSSLESS, no_nodes(*g, {2}))->place(INF).placed, 10); } -// R9: weights frozen at preparation: a member pruned there stays pruned in every replay. +// Weights frozen at preparation: a member pruned there stays pruned in every replay. TEST(Replay, FrozenWeights) { const auto z = par2(0, 10); auto producer = make(z, {0}, {1}, cost_only(W, LOSSY)); @@ -1189,17 +1175,17 @@ TEST(Replay, FrozenWeights) { auto snap = make(g, {0}, {1}, weighted(LOSSY, WeightBasis::ResidualSnapshot), nullptr, std::make_shared(g, Amounts {0, 10})); const auto sp = snap->place(1).program; - const auto rr = pinned(g, sp, LOSSY)->replace(15, kEdges); + const auto rr = pinned(g, sp, LOSSY)->replace(15, std::nullopt, kEdges); EXPECT_EQ(rr.placed, 10); EXPECT_EQ(*rr.edge_flows, (Amounts {0, 10})); EXPECT_EQ(rr.call_drops, (Drops {{1, 5}})); } -// ---------------------------------------------------------------- S: stale forwarding +// ---------------------------------------------------------------- stale forwarding -// S1 to S11: STALE-remote-tail, -wcmp-member, -wcmp-zero-capacity, -relief-original, -relief, -// -tunnel-node, -pooled-original, -pooled-remainder, -all-zero-weight, -black-source, -// -black-source-tunnel, -mask-and-black-hole. +// Stale forwarding: a remote tail, a WCMP member (also of capacity 0), the relief and its original +// program, a tunnel node, a pooled original and remainder, all weights zero, a black-holed source +// (also of a tunnel), a masked and black-holed element. TEST(StaleForwarding, RemoteTail) { { const auto g = graph(4, kDiam); @@ -1278,7 +1264,7 @@ TEST(StaleForwarding, RemoteTail) { EXPECT_EQ(s11.source_loss, c(10)); } { - // S12: STALE-mask-and-black-hole: a masked and black-holed element is masked. + // A masked and black-holed element is masked. const auto m = graph(5, kMB); const auto mp = tunnels(*m, {0}, {4}, {{0, {0, 3}, 1}, {0, {1, 4}, 1}, {0, {2, 5}, 1}}); const auto r = pinned(m, mp, LOSSY, no_edges(*m, {3}), no_edges(*m, {3, 4}))->replace(10); @@ -1287,7 +1273,7 @@ TEST(StaleForwarding, RemoteTail) { } } -// S13: R1's program with e2 black-holed instead of masked. +// The 8.5 call's Global program with e2 black-holed instead of masked. TEST(StaleForwarding, GlobalProgram) { const auto g = graph(4, kG1U); const auto prog = g1u_program(g); @@ -1298,7 +1284,7 @@ TEST(StaleForwarding, GlobalProgram) { EXPECT_EQ(pinned(g, prog, LOSSLESS, nullptr, no_edges(*g, {2}))->replace(12).placed, 4); } -// S14: an all-allowed Eligibility is no black hole. +// An all-allowed Eligibility is no black hole. TEST(StaleForwarding, AllAllowedIsNone) { const auto g = graph(4, kG1U); const auto prog = g1u_program(g); @@ -1315,8 +1301,8 @@ TEST(StaleForwarding, AllAllowedIsNone) { EXPECT_EQ(p->forward(12, &all).placed, p->forward(12).placed); } -// S15: place, evaluate, replace, capacity and sensitivity all see a Pinned policy's black holes -// (S6: TUN, node 2 black-holed). +// Place, evaluate, replace, capacity and sensitivity all see a Pinned policy's black holes +// (TUN, node 2 black-holed). TEST(StaleForwarding, EveryOperation) { const auto t = graph(4, kTun); const auto tp = tunnels(*t, {0}, {3}, {{0, {0, 2}, 1}, {0, {1, 3}, 1}}); @@ -1332,9 +1318,9 @@ TEST(StaleForwarding, EveryOperation) { EXPECT_EQ(capacity(*t, v({0}), v({3}), query(pinned_config(tp))).placed, 20); } -// ---------------------------------------------------------------- O: operations +// ---------------------------------------------------------------- operations -// O1: evaluate publishes nothing: ledger, records and epoch counters unchanged. +// Evaluate publishes nothing: ledger, records and epoch counters unchanged. TEST(Operations, EvaluatePublishesNothing) { const auto g = par2(10, 10); auto p = make(g, {0}, {1}, cost_only()); @@ -1350,7 +1336,7 @@ TEST(Operations, EvaluatePublishesNothing) { EXPECT_EQ(p->place(0).requested, c(6)); } -// O2: replace retires the old ids and starts a new epoch. +// Replace retires the old ids and starts a new epoch. TEST(Operations, ReplaceRetiresIds) { const auto g = par2(10, 10); auto p = make(g, {0}, {1}, cost_only()); @@ -1363,7 +1349,7 @@ TEST(Operations, ReplaceRetiresIds) { EXPECT_NE(p->records().front().flow_id, old); } -// O3, O10: forward keeps the frozen weights; replace takes a new snapshot; an identical replace +// Forward keeps the frozen weights; replace takes a new snapshot; an identical replace // sets no flag. TEST(Operations, ForwardKeepsTheProgram) { const auto g = par2(10, 10); @@ -1396,7 +1382,7 @@ TEST(Operations, IdenticalReplace) { EXPECT_EQ(delivered(*a.p), (Amounts {r1.placed})); } -// O4, O5, S16: the forward texts. +// The forward texts. TEST(Operations, ForwardTexts) { const auto g = par2(10, 10); auto p = make(g, {0}, {1}, cost_only(EB, LOSSY)); @@ -1410,7 +1396,6 @@ TEST(Operations, ForwardTexts) { p->remove(); EXPECT_EQ(error_of([&] { (void)p->forward(1); }), kNoProgram); auto ca = make(g, {0}, {1}, capacity_aware()); - (void)ca->place(1); EXPECT_EQ(error_of([&] { (void)ca->forward(1); }), kNoProgram); const auto prog = tunnels(*g, {0}, {1}, {{0, {0}, 1}}); auto pin = pinned(g, prog, LOSSY); @@ -1419,7 +1404,7 @@ TEST(Operations, ForwardTexts) { EXPECT_EQ(error_of([&] { (void)pin->forward(1); }), "Pinned forwards with replace"); } -// V1 to V4: the order of a call's checks. +// The order of a call's checks. TEST(Operations, ForwardOrder) { const auto g = par2(10, 10); const auto other = par2(1, 1); @@ -1436,7 +1421,7 @@ TEST(Operations, ForwardOrder) { EXPECT_EQ(error_of([&] { (void)p->replace(INF); }), kFinite); } -// O6: Lossless replace(+inf): the bound, EXHAUSTED. +// Lossless replace(+inf): the bound, EXHAUSTED. TEST(Operations, LosslessInfinite) { const auto r = make(par2(10, 10), {0}, {1}, cost_only())->replace(INF); EXPECT_EQ(r.placed, 20); @@ -1444,7 +1429,7 @@ TEST(Operations, LosslessInfinite) { EXPECT_EQ(r.termination, Termination::Exhausted); } -// O7: a zero replace installs a program of two split routes and two records at zero (R21). +// A zero replace installs a program of two split routes and two records at zero. TEST(Operations, ZeroReplacePrograms) { const auto g = graph(4, kPool2); auto p = make(g, {0, 1}, {3}, cost_only()); @@ -1456,7 +1441,7 @@ TEST(Operations, ZeroReplacePrograms) { EXPECT_EQ(delivered(*p.p), (Amounts {0, 0})); } -// O8: a smaller replace: delivery_delta negative. +// A smaller replace: delivery_delta negative. TEST(Operations, DeliveryDeltaNegative) { auto p = make(par2(10, 10), {0}, {1}, cost_only()); (void)p->replace(10); @@ -1465,7 +1450,7 @@ TEST(Operations, DeliveryDeltaNegative) { EXPECT_EQ(r.delivery_delta, -6); } -// O9: place continues the replace's epoch (its ids kept). +// Place continues the replace's epoch (its ids kept). TEST(Operations, PlaceContinuesTheEpoch) { const auto g = par2(10, 10); auto p = make(g, {0}, {1}, cost_only()); @@ -1484,7 +1469,7 @@ TEST(Operations, PlaceContinuesTheEpoch) { EXPECT_EQ(lr.requested, c(9)); } -// O11: FLAGS-controller-increment. +// A controller's increment changes the weights. TEST(Operations, ControllerWeights) { const auto g = graph(2, {{0, 1, 20, 1}}); auto p = make(g, {0}, {1}, global()); @@ -1498,7 +1483,7 @@ TEST(Operations, ControllerWeights) { EXPECT_FALSE(r3.routes_changed || r3.weights_changed); } -// O12: a re-solve that adds a path changes the routes. +// A re-solve that adds a path changes the routes. TEST(Operations, ControllerRoutes) { const auto g = graph(4, kB1); auto q = make(g, {0, 1}, {3}, global()); @@ -1508,7 +1493,7 @@ TEST(Operations, ControllerRoutes) { EXPECT_TRUE(r.routes_changed); } -// O13: FLAGS-fixed-offer: an offer-only change sets no flag. +// An offer-only change sets no flag. TEST(Operations, OfferOnly) { const auto one = graph(2, {{0, 1, 20, 1}}); auto pin = pinned(one, tunnels(*one, {0}, {1}, {{0, {0}, 1}})); @@ -1527,7 +1512,7 @@ TEST(Operations, OfferOnly) { } } -// O14: forward over a controller's program reproduces the solve; above it, EXHAUSTED (R18). +// Forward over a controller's program reproduces the solve; above it, EXHAUSTED. TEST(Operations, ForwardControllerProgram) { const auto g = graph(4, kG1U); auto p = make(g, {0}, {3}, global()); @@ -1538,7 +1523,7 @@ TEST(Operations, ForwardControllerProgram) { EXPECT_EQ(r.termination, Termination::Exhausted); } -// O15: remove() clears the program. +// remove() clears the program. TEST(Operations, RemoveClearsTheProgram) { for (const auto& cfg : {global(), cost_only()}) { auto p = make(par2(10, 10), {0}, {1}, cfg); @@ -1554,22 +1539,7 @@ TEST(Operations, RemoveClearsTheProgram) { } } -// O16: today's CapacityAware: replace is place on a fresh epoch, evaluate publishes nothing. -TEST(Operations, CapacityAwareTransitional) { - const auto g = graph(2, kOne); - auto p = make(g, {0}, {1}, capacity_aware()); - (void)p->place(2); - const auto old = ids(*p.p); - const auto r = p->replace(5); - EXPECT_EQ(r.placed, 5); - EXPECT_EQ(r.termination, Termination::Complete); - EXPECT_NE(ids(*p.p), old); - const auto state = ledger_state(*p.ledger); - EXPECT_EQ(p->evaluate(3).placed, 3); - expect_same(ledger_state(*p.ledger), state, "evaluate"); -} - -// O17: CostOnly's first positive call sets both flags (R21); the next none. +// CostOnly's first positive call sets both flags; the next none. TEST(Operations, FirstProgramFlags) { auto q = make(graph(4, kPool2), {0, 1}, {3}, cost_only()); const auto r = q->place(2); @@ -1578,11 +1548,11 @@ TEST(Operations, FirstProgramFlags) { EXPECT_FALSE(r2.routes_changed || r2.weights_changed); } -// O18: evaluate's outputs describe the evaluated state (R8). +// evaluate's outputs describe the evaluated state. TEST(Operations, EvaluateOutputs) { auto gl = make(graph(4, kB1), {0, 1}, {3}, global()); (void)gl->place(2); - const auto r = gl->evaluate(12, OutputOptions {.edge_flows = true, .residual = true, .min_cut = true}); + const auto r = gl->evaluate(12, std::nullopt, OutputOptions {.edge_flows = true, .residual = true, .min_cut = true}); EXPECT_EQ(*r.edge_flows, (Amounts {2, 10, 10})); EXPECT_EQ(*r.residual, (Amounts {0, 0, 0})); EXPECT_EQ(*r.min_cut, (std::vector {0, 1})); @@ -1590,7 +1560,7 @@ TEST(Operations, EvaluateOutputs) { EXPECT_EQ(gl.ledger->residual(), (Amounts {0, 10, 10})); } -// V5: a rejected call of each kind (and an evaluator) changes nothing. +// A rejected call of each kind (and an evaluator) changes nothing. TEST(Operations, RejectedCallsChangeNothing) { const auto g = par2(10, 10); const auto other = par2(1, 1); @@ -1626,9 +1596,9 @@ TEST(Operations, RejectedCallsChangeNothing) { } } -// ---------------------------------------------------------------- D: records +// ---------------------------------------------------------------- records -// D1: CostOnly and Global records have no entry; a Pinned record carries its entry identifier. +// CostOnly and Global records have no entry; a Pinned record carries its entry identifier. TEST(ProgramRecords, Fields) { const auto g = graph(4, kB1); for (const auto& cfg : {global(), cost_only()}) { @@ -1647,7 +1617,7 @@ TEST(ProgramRecords, Fields) { } } -// D2, D3: one record per entry, duplicates included; a weight-0 entry's record at zero. +// One record per entry, duplicates included; a weight-0 entry's record at zero. TEST(ProgramRecords, PerEntry) { const auto g = par2(4, 8); auto p = pinned(g, tunnels(*g, {0}, {1}, {{0, {0}, 1}, {0, {1}, 1}, {0, {1}, 1}})); @@ -1668,7 +1638,7 @@ TEST(ProgramRecords, PerEntry) { EXPECT_EQ(ascending_edges(*zr[0].bundle), (std::vector {0})); } -// D4: a FAILED tunnel's record: an empty bundle, route_cost UNREACHABLE. +// A FAILED tunnel's record: an empty bundle, route_cost UNREACHABLE. TEST(ProgramRecords, FailedEntry) { const auto g = graph(4, kG1U); const auto prog = g1u_program(g); @@ -1682,7 +1652,7 @@ TEST(ProgramRecords, FailedEntry) { EXPECT_EQ(recs[1].route_cost, 2); } -// D5: a CostOnly program in Pinned keeps the attribution of 5.1. +// A CostOnly program in Pinned keeps the attribution of 5.1. TEST(ProgramRecords, PooledContext) { const auto g = graph(4, kPool2); auto producer = make(g, {0, 1}, {3}, cost_only(EB, LOSSY)); @@ -1695,9 +1665,9 @@ TEST(ProgramRecords, PooledContext) { {1, {{1, 1}, {3, 1}}}})); } -// ---------------------------------------------------------------- Z: results +// ---------------------------------------------------------------- results -// Z1, Z2, Z3: the by_tunnel rows. +// The by_tunnel rows. TEST(ProgramResults, ByTunnel) { const auto pl = graph(4, kPinloss); const auto y8 = pinned(pl, tunnels(*pl, {0}, {3}, {{0, {0, 2}, 1}, {0, {1, 3}, 1}}), LOSSY)->replace(12); @@ -1711,7 +1681,7 @@ TEST(ProgramResults, ByTunnel) { EXPECT_EQ(rows(p->place(0)), (Rows {{0, 0, UP, 6, 2, 4}, {1, 0, UP, 6, 6, 0}})); } -// Z4: RC02-zero-unprepared extended: no program, no rows. +// RC02-zero-unprepared extended: no program, no rows. TEST(ProgramResults, ZeroUnprepared) { for (const auto& cfg : {global(), cost_only()}) { auto p = make(par2(4, 6), {0}, {1}, cfg); @@ -1727,7 +1697,7 @@ TEST(ProgramResults, ZeroUnprepared) { } } -// Z5: TunnelFlow.assigned and dropped above 2^64 with a carry: 5 (2^62 - 1) = +// TunnelFlow.assigned and dropped above 2^64 with a carry: 5 (2^62 - 1) = // 23058430092136939515, high half 1, low half 4611686018427387899. TEST(WideCounters, TunnelRowsBeyond64Bits) { const auto g = graph(2, {{0, 1, 0, 1}}); @@ -1760,9 +1730,9 @@ TEST(WideCounters, TunnelRowsBeyond64Bits) { EXPECT_EQ(four.by_tunnel[0].assigned, (Counter128 {0, 4 * static_cast(big)})); } -// ---------------------------------------------------------------- E: evaluators +// ---------------------------------------------------------------- evaluators -// E2: capacity of L3's Pinned Lossless. +// Capacity of a Pinned Lossless program on PAR2(6, 4). TEST(QueryOptionsEval, PinnedLossless) { const auto g = par2(6, 4); const auto prog = tunnels(*g, {0}, {1}, {{0, {0}, 1}, {0, {1}, 1}}); @@ -1771,14 +1741,14 @@ TEST(QueryOptionsEval, PinnedLossless) { EXPECT_EQ(r.termination, Termination::Exhausted); } -// E3: capacity of PINLOSS's Pinned Lossy with offered 12: 2 + 6. +// Capacity of PINLOSS's Pinned Lossy with offered 12: 2 + 6. TEST(QueryOptionsEval, PinnedLossy) { const auto pl = graph(4, kPinloss); const auto prog = tunnels(*pl, {0}, {3}, {{0, {0, 2}, 1}, {0, {1, 3}, 1}}); EXPECT_EQ(capacity(*pl, v({0}), v({3}), query(pinned_config(prog, LOSSY), offer(12))).placed, 8); } -// E4, E5: the offered rules and batch_capacity's Pinned text. +// The offered rules and batch_capacity's Pinned text. TEST(QueryOptionsEval, Texts) { const auto g = par2(6, 4); const auto prog = tunnels(*g, {0}, {1}, {{0, {0}, 1}, {0, {1}, 1}}); @@ -1789,7 +1759,9 @@ TEST(QueryOptionsEval, Texts) { EXPECT_EQ(err(query(cost_only(), offer(5))), "CostOnly LOSSLESS capacity does not accept offered"); EXPECT_EQ(err(query(global(), offer(5))), "Global LOSSLESS capacity does not accept offered"); EXPECT_EQ(err(query(pinned_config(prog), offer(5))), "Pinned LOSSLESS capacity does not accept offered"); - EXPECT_EQ(err(query(capacity_aware(), offer(5))), "T1 LOSSLESS capacity does not accept offered"); + auto designed = query(capacity_aware(), offer(5)); + designed.design_demand = Amount {4}; + EXPECT_EQ(err(designed), "T1 LOSSLESS capacity does not accept offered"); EXPECT_EQ(err(query(cost_only(), offer_inf())), "CostOnly LOSSLESS capacity does not accept offered"); for (const Amount bad : {Amount {-1}, kL62}) { EXPECT_EQ(err(query(pinned_config(prog, LOSSY), offer(bad))), @@ -1801,7 +1773,7 @@ TEST(QueryOptionsEval, Texts) { "batch_capacity does not accept Pinned"); } -// E6, E7, E8: a deletion fails the tunnels through it and the head splits over the others. +// A deletion fails the tunnels through it and the head splits over the others. TEST(QueryOptionsEval, PinnedSensitivity) { const auto pl = graph(4, kPinloss); const auto prog = tunnels(*pl, {0}, {3}, {{0, {0, 2}, 1}, {0, {1, 3}, 1}}); @@ -1816,17 +1788,17 @@ TEST(QueryOptionsEval, PinnedSensitivity) { EXPECT_EQ(w2.baseline.placed, 8); } -// ---------------------------------------------------------------- M: today's Pinned mapped +// ---------------------------------------------------------------- the earlier Pinned uses mapped -// M1 to M10: each former Pinned use and its program form. +// Each former Pinned use and its program form. TEST(PinnedMapping, SingleBundle) { - // M1: one EB bundle (DIAM, the four links). + // One EB bundle (DIAM, the four links). const auto d = graph(4, kDiam); const auto all = dag_of(*d, {0, 1, 2, 3}); const auto eb = program(*d, {0}, {3}, {Route {0, all, 1}}); EXPECT_EQ(pinned(d, eb)->place(INF).placed, 200); EXPECT_EQ(pinned(d, eb, LOSSY)->place(100).placed, 100); - // M2: W with capacity weights; with residual weights (the ledger's residual at creation): + // W with capacity weights; with residual weights (the ledger's residual at creation): // H over (100, 50) at node 0: H(150) = (100, 50) fits, H(151) = (101, 50) does not. const auto wc = program(*d, {0}, {3}, {Route {0, all, 1}}, RouteOptions {.placement = W}); EXPECT_EQ(pinned(d, wc)->place(INF).placed, 200); @@ -1834,7 +1806,7 @@ TEST(PinnedMapping, SingleBundle) { RouteOptions {.placement = W, .weights = WeightBasis::ResidualSnapshot, .residual = Amounts {100, 50, 100, 50}}); EXPECT_EQ(pinned(d, ws)->place(INF).placed, 150); - // M3, M4: two bundles on PAR2(6, 4): separate contexts, RR over the entries: 9; W the same 9; + // Two bundles on PAR2(6, 4): separate contexts, RR over the entries: 9; W the same 9; // MaxFlow becomes Global(support) and fills both: 10. const auto p = par2(6, 4); const auto two = program(*p, {0}, {1}, {dag_route(*p, 0, {0}), dag_route(*p, 0, {1})}); @@ -1843,14 +1815,14 @@ TEST(PinnedMapping, SingleBundle) { program(*p, {0}, {1}, {dag_route(*p, 0, {0}), dag_route(*p, 0, {1})}, RouteOptions {.placement = W}); EXPECT_EQ(pinned(p, two_w)->place(INF).placed, 9); EXPECT_EQ(make(p, {0}, {1}, global(std::nullopt, dag_of(*p, {0, 1})))->place(INF).placed, 10); - // M5: two bundles sharing e0 on SHARE, EB Lossy place(10): both arrive at e0 with 5: + // Two bundles sharing e0 on SHARE, EB Lossy place(10): both arrive at e0 with 5: // H(4, (5, 5)) = (2, 2). const auto sh = graph(3, kShare); auto shared_e0 = pinned(sh, program(*sh, {0}, {2}, {dag_route(*sh, 0, {0, 1}), dag_route(*sh, 0, {0, 2})}), LOSSY); const auto r5 = shared_e0->place(10); EXPECT_EQ(r5.placed, 4); EXPECT_EQ(delivered(*shared_e0.p), (Amounts {2, 2})); - // M6: MaxFlow over one bundle is Global(support): 12, cost 34, one record per source with the + // MaxFlow over one bundle is Global(support): 12, cost 34, one record per source with the // used edges, no entry. const auto es = graph(4, kES); auto m6 = make(es, {0}, {3}, global(std::nullopt, dag_of(*es, {0, 1, 2, 3}))); @@ -1861,15 +1833,15 @@ TEST(PinnedMapping, SingleBundle) { ASSERT_EQ(recs.size(), 1U); EXPECT_FALSE(recs[0].entry.has_value()); EXPECT_EQ(ascending_edges(*recs[0].bundle), (std::vector {0, 1, 2, 3})); - // M7: Lossy +inf is rejected. + // Lossy +inf is rejected. auto m7 = pinned(d, eb, LOSSY); EXPECT_EQ(error_of([&] { (void)m7->place(INF); }), kFinite); - // M8: two sources are accepted (C8); M9: duplicates are distinct entries (L1). + // Two sources are accepted; duplicates are distinct entries. const auto rel = graph(4, kRel); EXPECT_EQ(pinned(rel, tunnels(*rel, {0, 1}, {3}, {{0, {0, 2}, 1}, {1, {1, 2}, 1}}))->place(INF).placed, 10); const auto par = par2(4, 8); EXPECT_EQ(bound(par, {{0, {0}, 1}, {0, {1}, 1}, {0, {1}, 1}}), 12); - // M10: an empty route list. + // An empty route list. EXPECT_EQ(error_of([&] { (void)program(*par, {0}, {1}, {}); }), "routes must not be empty"); } diff --git a/tests/cpp/search_tests.cpp b/tests/cpp/search_tests.cpp index bebfe0a..749f03a 100644 --- a/tests/cpp/search_tests.cpp +++ b/tests/cpp/search_tests.cpp @@ -512,7 +512,7 @@ Expected expect_of(const RandomCase& c) { auto [dstar, edges] = ref::pruned(g, mem, starts, ends); if (dstar == ref::kNone) return out; out.target_cost = dstar; - if (c.selection.multipath) { + if (!c.selection.single_path()) { out.edges.assign(edges.begin(), edges.end()); } else { auto walk = ref::canonical(q, mem, starts, ends); @@ -575,8 +575,8 @@ TEST(Search, RandomQueriesAgreeWithTheReferenceOnBothQueues) { } full += !c.targets.has_value() && !want.edges.empty() ? 1 : 0; const bool reached = c.targets.has_value() && want.target_cost != kUnreachable; - multipath += reached && c.selection.multipath ? 1 : 0; - single += reached && !c.selection.multipath ? 1 : 0; + multipath += reached && !c.selection.single_path() ? 1 : 0; + single += reached && c.selection.single_path() ? 1 : 0; } EXPECT_GT(full, 300); EXPECT_GT(multipath, 300); @@ -978,7 +978,8 @@ TEST(Search, LargeGraphsBothQueuesIdentical) { } TEST(Search, InternalEntriesMatchThePublicSearch) { - // route_search (CapacityAware), support_route (CostOnly on the cached support) and + // route_search (T1's CSPF: the single path, in walk order), support_route (CostOnly on the cached + // support) and // static_costs (rosters) against spf on the same questions; support_route under residual // priority views against the independent reference (search_reference.hpp). std::mt19937 rng(23); @@ -1001,16 +1002,26 @@ TEST(Search, InternalEntriesMatchThePublicSearch) { for (bool me : {true, false}) { for (auto tie : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { const auto s = sel(mp, me, tie, EdgePriority::Residual); - // CapacityAware: gated at 2 units on the residual. - auto want = run(g, {src}, Direction::Forward, dests, s, &residual, 2); - auto got = detail::route_search(g, detail::Gate {nullptr, residual, 2}, s, src, dests); - if (want.target_cost == kUnreachable) { - EXPECT_FALSE(got.has_value()); - } else { - ASSERT_TRUE(got.has_value()); - EXPECT_EQ(got->cost, *want.target_cost); - EXPECT_EQ(got->edges, edges_of(want.dag)); - ++routed; + // T1's CSPF: gated at 2 units on the residual, the single path (it reads no multipath) + // in walk order from src. + if (!mp) { + auto want = run(g, {src}, Direction::Forward, dests, s, &residual, 2); + auto got = detail::route_search(g, detail::Gate {nullptr, residual, 2}, s, src, dests); + if (want.target_cost == kUnreachable) { + EXPECT_FALSE(got.has_value()); + } else { + ASSERT_TRUE(got.has_value()); + EXPECT_EQ(got->cost, *want.target_cost); + NodeId at = src; + for (EdgeId e : got->edges) { + EXPECT_EQ(g.edge_src()[static_cast(e)], at); + at = g.edge_dst()[static_cast(e)]; + } + auto sorted = got->edges; + std::sort(sorted.begin(), sorted.end()); + EXPECT_EQ(sorted, edges_of(want.dag)); + ++routed; + } } // CostOnly: the static support toward dests projected with static priorities equals the // static search from src (no residual: Residual reads the capacities). diff --git a/tests/cpp/state_comparators.hpp b/tests/cpp/state_comparators.hpp index 401c2fb..2f0bea9 100644 --- a/tests/cpp/state_comparators.hpp +++ b/tests/cpp/state_comparators.hpp @@ -22,12 +22,14 @@ namespace netgraph::core::test { -// The ledger as the tests compare it: the aggregate, the residual, every record field (FlowIds -// keep their local ids: a reference sequence runs on another ledger), the next FlowId and the -// bound and orphaned owners. +// The ledger as the tests compare it: both projections (the aggregate and the residual, the +// holds and the unreserved capacity), every record field (FlowIds keep their local ids: a +// reference sequence runs on another ledger), the next FlowId and the bound and orphaned owners. struct LedgerState { std::vector allocated; std::vector residual; + std::vector reserved; + std::vector unreserved; std::vector records; std::int64_t next_id {0}; std::vector bound; @@ -45,8 +47,8 @@ inline void expect_uid_then_clear(std::vector& records, std::uint64_ inline LedgerState ledger_state(const FlowLedger& fg) { using detail::LedgerAccess; - LedgerState s {fg.allocated(), fg.residual(), fg.records(), LedgerAccess::next_flow_id(fg), - LedgerAccess::bound_owners(fg), LedgerAccess::orphan_owners(fg)}; + LedgerState s {fg.allocated(), fg.residual(), fg.reserved(), fg.unreserved(), fg.records(), + LedgerAccess::next_flow_id(fg), LedgerAccess::bound_owners(fg), LedgerAccess::orphan_owners(fg)}; expect_uid_then_clear(s.records, fg.uid()); return s; } @@ -55,12 +57,14 @@ inline bool same_record(const FlowRecord& a, const FlowRecord& b) { return a.flow_id == b.flow_id && a.owner == b.owner && a.sources == b.sources && a.destinations == b.destinations && a.admission == b.admission && a.entry == b.entry && a.bundle && b.bundle && *a.bundle == *b.bundle && a.route_cost == b.route_cost && a.offered == b.offered && a.delivered == b.delivered && a.edges == b.edges && - a.drops == b.drops; + a.drops == b.drops && a.reserved_edges == b.reserved_edges; } inline void expect_same(const LedgerState& a, const LedgerState& b, const std::string& where) { EXPECT_EQ(a.allocated, b.allocated) << where; EXPECT_EQ(a.residual, b.residual) << where; + EXPECT_EQ(a.reserved, b.reserved) << where; + EXPECT_EQ(a.unreserved, b.unreserved) << where; EXPECT_EQ(a.next_id, b.next_id) << where; EXPECT_EQ(a.bound, b.bound) << where; EXPECT_EQ(a.orphans, b.orphans) << where; @@ -70,20 +74,28 @@ inline void expect_same(const LedgerState& a, const LedgerState& b, const std::s } } -// The ledger invariant: the aggregate is the sum of the records, within [0, baseline] on every -// edge. +// The ledger invariant, per projection: the aggregate is the sum of the records' edges and the +// holds the sum of their reserved_edges, each within [0, its baseline] on every edge. inline void expect_balanced(const FlowLedger& fg, const std::string& where) { const std::vector allocated = fg.allocated(); + const std::vector reserved = fg.reserved(); const auto baseline = detail::LedgerAccess::baseline(fg); + const auto reservation = detail::LedgerAccess::reservation_baseline(fg); std::vector sum(allocated.size(), 0); + std::vector held(allocated.size(), 0); for (const auto& r : fg.records()) { for (const auto& [e, x] : r.edges) sum[static_cast(e)] += x; + for (const auto& [e, x] : r.reserved_edges) held[static_cast(e)] += x; } EXPECT_EQ(sum, allocated) << where; + EXPECT_EQ(held, reserved) << where; ASSERT_EQ(baseline.size(), allocated.size()) << where; + ASSERT_EQ(reservation.size(), allocated.size()) << where; for (std::size_t e = 0; e < allocated.size(); ++e) { EXPECT_GE(allocated[e], 0) << where << " edge " << e; EXPECT_LE(allocated[e], baseline[e]) << where << " edge " << e; + EXPECT_GE(reserved[e], 0) << where << " edge " << e; + EXPECT_LE(reserved[e], reservation[e]) << where << " edge " << e; } } @@ -127,7 +139,9 @@ inline void expect_same(const PlacementResult& a, const PlacementResult& b, cons EXPECT_EQ(a.termination, b.termination) << where; EXPECT_EQ(a.routes_changed, b.routes_changed) << where; EXPECT_EQ(a.weights_changed, b.weights_changed) << where; + EXPECT_EQ(a.reservations_changed, b.reservations_changed) << where; EXPECT_TRUE(program_snapshot(a.program.get()) == program_snapshot(b.program.get())) << where; + EXPECT_TRUE(a.plan == b.plan) << where; EXPECT_EQ(a.requested, b.requested) << where; EXPECT_EQ(a.offered, b.offered) << where; EXPECT_EQ(a.admitted, b.admitted) << where; @@ -142,24 +156,24 @@ inline void expect_same(const PlacementResult& a, const PlacementResult& b, cons EXPECT_EQ(a.edge_flows, b.edge_flows) << where; EXPECT_EQ(a.residual, b.residual) << where; EXPECT_EQ(a.bottleneck, b.bottleneck) << where; + EXPECT_EQ(a.reservation_edge_flows, b.reservation_edge_flows) << where; EXPECT_EQ(a.min_cut, b.min_cut) << where; } -// One live flow as the tests compare it: its local id, its route cost and its plan's route, -// members and Weighted weights (a Global flow has no plan: its bundle's edges as route and -// members). +// One live flow as the tests compare it: its local id, its route cost, its bundle's edges and its +// program entry. struct FlowSnapshot { std::int64_t id {0}; Cost cost {0}; std::vector route; - std::vector members; - std::vector weights; + std::int32_t entry {-1}; bool operator==(const FlowSnapshot&) const = default; }; // A policy's epoch state: the call state (requested, offered, +inf, prepared, the placed -// demand), Global's cumulative curve, the installed program (its identity and its value), CostOnly -// MaxFlow's support, a Pinned head's own losses, the by_tunnel rows and per cohort its flows. +// demand), Global's cumulative curve, the installed program (its identity and its value) and T1's +// plan, CostOnly MaxFlow's support, a Pinned head's own losses, the by_tunnel rows and per cohort +// its flows. struct Epoch { Counter128 requested; Counter128 offered; @@ -169,6 +183,7 @@ struct Epoch { std::optional>> curve; const ForwardingProgram* program_id {nullptr}; ProgramSnapshot program; + std::optional plan; std::vector support; std::vector head_lost; std::vector by_tunnel; @@ -179,17 +194,10 @@ inline Epoch epoch(const FlowPolicy& p) { const auto& pe = detail::PolicyAccess::engine(p); const auto& ep = pe.epoch; Epoch e {ep.requested, ep.offered, ep.infinite, ep.prepared, p.placed_demand(), ep.curve, ep.program.get(), - program_snapshot(ep.program.get()), ep.support, ep.head_lost, ep.by_tunnel, {}}; + program_snapshot(ep.program.get()), ep.plan, ep.support, ep.head_lost, ep.by_tunnel, {}}; for (const auto& c : ep.cohorts) { auto& out = e.cohorts.emplace_back(); - for (const auto& f : c) { - if (f.plan) { - out.push_back({f.id, f.cost, f.plan->route, f.plan->members, f.plan->weights}); - } else { - const auto ids = f.bundle ? ascending_edges(*f.bundle) : std::vector {}; - out.push_back({f.id, f.cost, ids, ids, {}}); - } - } + for (const auto& f : c) out.push_back({f.id, f.cost, f.bundle ? ascending_edges(*f.bundle) : std::vector {}, f.entry}); } return e; } @@ -202,6 +210,7 @@ inline void expect_same(const Epoch& a, const Epoch& b, const std::string& where EXPECT_EQ(a.placed, b.placed) << where; EXPECT_EQ(a.curve, b.curve) << where; EXPECT_TRUE(a.program == b.program) << where; + EXPECT_TRUE(a.plan == b.plan) << where; EXPECT_EQ(a.support, b.support) << where; EXPECT_EQ(a.head_lost, b.head_lost) << where; EXPECT_TRUE(a.by_tunnel == b.by_tunnel) << where; diff --git a/tests/cpp/test_utils.hpp b/tests/cpp/test_utils.hpp index ef262ce..284ae4a 100644 --- a/tests/cpp/test_utils.hpp +++ b/tests/cpp/test_utils.hpp @@ -4,6 +4,7 @@ #include #include +#include #include #include #include @@ -19,6 +20,7 @@ #include #include #include +#include #include #include "netgraph/core/dag_cache.hpp" @@ -884,4 +886,264 @@ inline Amount lossless_bound(const Graph& g, const std::vector& t) { } // namespace program_reference +// An independent reference of T1 (contract 6.2 to 6.5, 8.3): the setup by brute force over the +// simple paths of small graphs and the lossless bound with the policy's whole roster. It calls +// none of the library's searches or apportionment helpers (its own round robin, Bellman-Ford +// distances, exact comparisons in Int128). +namespace t1_reference { + +struct Selection { + bool prefer {false}; // PreferHigherPriority + EdgePriority priority {EdgePriority::Capacity}; + bool multi_edge {true}; +}; + +struct RefTunnel { + NodeId head {0}; + std::size_t slot {0}; + Amount request {0}; + TunnelStatus status {TunnelStatus::Up}; + std::vector path {}; // walk order; empty when down + Cost cost {0}; +}; + +// RR(x, k, i) = x // k + [i < x % k]. +inline Amount rr(Amount x, std::int64_t k, std::int64_t i) { return x / k + (i < x % k ? 1 : 0); } + +// The sources that reach an allowed destination over allowed edges (capacity ignored), ascending. +inline std::vector roster(const Graph& g, const Eligibility* elig, const std::vector& sources, + const std::vector& dests) { + const auto n = static_cast(g.num_nodes()); + std::vector is_dst(n, 0); + for (NodeId d : dests) { + if (elig == nullptr || elig->node_ok(d)) is_dst[static_cast(d)] = 1; + } + std::vector out; + for (NodeId s : sources) { + if (elig != nullptr && !elig->node_ok(s)) continue; + std::vector seen(n, 0); + std::vector stack {s}; + seen[static_cast(s)] = 1; + bool reached = false; + while (!stack.empty() && !reached) { + const NodeId u = stack.back(); + stack.pop_back(); + for (EdgeId e = 0; e < g.num_edges(); ++e) { + if (g.edge_src()[static_cast(e)] != u || (elig != nullptr && !elig->edge_ok(e))) continue; + const NodeId w = g.edge_dst()[static_cast(e)]; + if (is_dst[static_cast(w)] != 0) reached = true; + if (seen[static_cast(w)] == 0) { + seen[static_cast(w)] = 1; + stack.push_back(w); + } + } + } + if (reached) out.push_back(s); + } + return out; +} + +// The pool baseline c0: the smallest static distance from a roster head to an allowed destination +// over allowed edges, every capacity (Bellman-Ford). +inline Cost pool_baseline(const Graph& g, const Eligibility* elig, const std::vector& heads, + const std::vector& dests) { + const auto n = static_cast(g.num_nodes()); + constexpr Cost kInf = std::numeric_limits::max(); + Cost best = kInf; + for (NodeId h : heads) { + std::vector d(n, kInf); + d[static_cast(h)] = 0; + for (std::size_t round = 0; round < n; ++round) { + for (EdgeId e = 0; e < g.num_edges(); ++e) { + if (elig != nullptr && !elig->edge_ok(e)) continue; + const auto u = static_cast(g.edge_src()[static_cast(e)]); + const auto w = static_cast(g.edge_dst()[static_cast(e)]); + if (d[u] == kInf) continue; + d[w] = std::min(d[w], d[u] + g.cost()[static_cast(e)]); + } + } + for (NodeId t : dests) { + if (elig == nullptr || elig->node_ok(t)) best = std::min(best, d[static_cast(t)]); + } + } + return best; +} + +// cost <= f * base exactly, for costs in [0, 2^63) and f finite and >= 1: f = m * 2^x with an +// integer m in [2^52, 2^53) (frexp). The magnitudes are compared before any product is formed, so +// every product stays below 2^127: base * m < 2^116; for x >= 0, a positive base gives +// f * base >= 2^(52 + x), above every cost once x >= 11, and below that rhs * 2^x < 2^126; for +// x < 0 (x >= -52, as f >= 1), cost * 2^-x < 2^115. +inline bool stretch_admits(Cost cost, Cost base, double f) { + int exp = 0; + const double frac = std::frexp(f, &exp); // f = frac * 2^exp, frac in [0.5, 1) + const auto m = static_cast(std::ldexp(frac, 53)); // f = m * 2^(exp - 53) + const int x = exp - 53; + if (base == 0) return cost == 0; + if (x >= 11) return true; + const Int128 rhs = Int128(base) * m; + auto pow2 = [](int k) { // the portable Int128 has no signed shift + Int128 v = 1; + for (int i = 0; i < k; ++i) v = v * 2; + return v; + }; + if (x >= 0) return Int128(cost) <= rhs * pow2(x); + return Int128(cost) * pow2(-x) <= rhs; +} + +// A priority as the exact rational num / den (Headroom: U / C, 0 on an edge of capacity 0). +inline std::pair priority(const Graph& g, EdgePriority p, const std::vector& U, EdgeId e) { + const auto ei = static_cast(e); + const Amount c = g.capacity_units()[ei]; + if (p == EdgePriority::Residual) return {U[ei], 1}; + if (p == EdgePriority::Capacity) return {c, 1}; + return c == 0 ? std::pair {0, 1} : std::pair {U[ei], c}; +} +inline int compare(std::pair a, std::pair b) { + const Int128 l = Int128(a.first) * b.second; + const Int128 r = Int128(b.first) * a.second; + return l < r ? -1 : l > r ? 1 : 0; +} + +// The setup of 6.2 to 6.4 for the roster `heads` (ascending) on the view U (consumed). +inline std::vector setup(const Graph& g, const Eligibility* elig, const std::vector& heads, + const std::vector& dests, const Selection& sel, + const std::optional& ceiling, Amount minimum, Amount D, std::int64_t N, + std::vector U) { + const auto n = static_cast(g.num_nodes()); + std::vector is_dst(n, 0); + for (NodeId d : dests) { + if (elig == nullptr || elig->node_ok(d)) is_dst[static_cast(d)] = 1; + } + const Cost c0 = pool_baseline(g, elig, heads, dests); + const auto H = static_cast(heads.size()); + std::vector out; + for (std::int64_t j = 0; j < N; ++j) { + for (std::int64_t i = 0; i < H; ++i) { + RefTunnel t; + t.head = heads[static_cast(i)]; + t.slot = static_cast(i); + t.request = rr(rr(D, H, i), N, j); + const Amount threshold = std::max(t.request, minimum); + // The filtered member graph, then one member per (u, v) without multi_edge. + std::vector usable; + for (EdgeId e = 0; e < g.num_edges(); ++e) { + if (elig != nullptr && !elig->edge_ok(e)) continue; + if (U[static_cast(e)] < threshold) continue; + usable.push_back(e); + } + if (!sel.multi_edge) { + std::map, EdgeId> pick; + for (EdgeId e : usable) { + const auto key = std::pair {g.edge_src()[static_cast(e)], g.edge_dst()[static_cast(e)]}; + const auto it = pick.find(key); + if (it == pick.end()) { + pick.emplace(key, e); + continue; + } + const EdgeId cur = it->second; + const Cost ce = g.cost()[static_cast(e)]; + const Cost cc = g.cost()[static_cast(cur)]; + if (ce < cc || (ce == cc && sel.prefer && compare(priority(g, sel.priority, U, e), priority(g, sel.priority, U, cur)) > 0)) { + it->second = e; + } + } + usable.clear(); + for (const auto& [key, e] : pick) usable.push_back(e); + std::sort(usable.begin(), usable.end()); + } + // Every simple path from the head that ends at the first destination it meets. + std::vector> found; + std::vector walk; + std::vector on(n, 0); + std::function dfs = [&](NodeId u) { + on[static_cast(u)] = 1; + for (EdgeId e : usable) { + if (g.edge_src()[static_cast(e)] != u) continue; + const NodeId w = g.edge_dst()[static_cast(e)]; + if (on[static_cast(w)] != 0) continue; + walk.push_back(e); + if (is_dst[static_cast(w)] != 0) { + found.push_back(walk); + } else { + dfs(w); + } + walk.pop_back(); + } + on[static_cast(u)] = 0; + }; + dfs(t.head); + // The single-path order: cost, the bottleneck priority (PreferHigherPriority, larger first), + // hops, the EdgeId sequence. + const std::vector* best = nullptr; + Cost best_cost = 0; + std::pair best_bottleneck {0, 1}; + for (const auto& p : found) { + Cost cost = 0; + for (EdgeId e : p) cost += g.cost()[static_cast(e)]; + std::pair bottleneck {std::numeric_limits::max(), 1}; + for (EdgeId e : p) { + const auto pr = priority(g, sel.priority, U, e); + if (compare(pr, bottleneck) < 0) bottleneck = pr; + } + bool better = best == nullptr; + if (!better && cost != best_cost) better = cost < best_cost; + else if (!better && sel.prefer && compare(bottleneck, best_bottleneck) != 0) better = compare(bottleneck, best_bottleneck) > 0; + else if (!better && p.size() != best->size()) better = p.size() < best->size(); + else if (!better) better = p < *best; + if (better) { + best = &p; + best_cost = cost; + best_bottleneck = bottleneck; + } + } + if (best == nullptr) { + t.status = TunnelStatus::NoBandwidth; + } else if (ceiling.has_value() && (std::holds_alternative(*ceiling) + ? best_cost > std::get(*ceiling).cost + : !stretch_admits(best_cost, c0, std::get(*ceiling).factor))) { + t.status = TunnelStatus::CostCeiling; + } else { + t.path = *best; + t.cost = best_cost; + for (EdgeId e : t.path) U[static_cast(e)] -= t.request; + } + out.push_back(std::move(t)); + } + } + return out; +} + +// The lossless bound (8.3) of the tunnels on the free capacity V: the largest total whose round +// robin over the H heads, then over each head's up tunnels in index order, loads no edge above V +// and gives no positive share to a head without an up tunnel (scanning up from 0). +inline Amount lossless_bound(std::size_t H, const std::vector& tunnels, const std::vector& V) { + Amount limit = 1; + for (Amount c : V) limit += c; + auto fits = [&](Amount x) { + std::vector load(V.size(), 0); + for (std::size_t h = 0; h < H; ++h) { + const Amount share = rr(x, static_cast(H), static_cast(h)); + std::vector up; + for (const auto& t : tunnels) { + if (t.slot == h && t.status == TunnelStatus::Up) up.push_back(&t); + } + if (share > 0 && up.empty()) return false; + for (std::size_t k = 0; k < up.size(); ++k) { + const Amount part = rr(share, static_cast(up.size()), static_cast(k)); + for (EdgeId e : up[k]->path) load[static_cast(e)] += part; + } + } + for (std::size_t e = 0; e < V.size(); ++e) { + if (load[e] > V[e]) return false; + } + return true; + }; + Amount x = 0; + while (x < limit && fits(x + 1)) ++x; + return x; +} + +} // namespace t1_reference + } // namespace netgraph::core::test diff --git a/tests/cpp/tunnels_t1_tests.cpp b/tests/cpp/tunnels_t1_tests.cpp new file mode 100644 index 0000000..51b482b --- /dev/null +++ b/tests/cpp/tunnels_t1_tests.cpp @@ -0,0 +1,1661 @@ +// T1 (CapacityAware(Tunnels(N))): every head sets up its own strict tunnels by CSPF (contract +// section 6), the two ledger projections (10.1, 10.3), T1's programs, replays and stale forwarding +// (8.1, 8.4, 8.6), records, rows, flags and terminations (10.4, 14.1, 14.2), T1's evaluators (12) +// and the numeric ranges of its sums. Every expected value is derived by hand or copied from the +// contract's worked examples, never from a build; the property test compares random small cases +// with t1_reference (test_utils.hpp), an independent restatement of 6.2 to 6.5 that calls none of +// the library's searches or apportionment helpers. +#include + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/int128.hpp" +#include "netgraph/core/detail/ledger_access.hpp" +#include "netgraph/core/detail/policy_engine.hpp" +#include "netgraph/core/detail/program_data.hpp" +#include "netgraph/core/evaluators.hpp" +#include "netgraph/core/flow_ledger.hpp" +#include "netgraph/core/flow_policy.hpp" +#include "netgraph/core/program.hpp" +#include "state_comparators.hpp" +#include "test_utils.hpp" + +using namespace netgraph::core; +using namespace netgraph::core::test; + +namespace { + +constexpr Admission LOSSLESS = Admission::Lossless; +constexpr Admission LOSSY = Admission::Lossy; +constexpr TunnelStatus UP = TunnelStatus::Up; +constexpr TunnelStatus NB = TunnelStatus::NoBandwidth; +constexpr TunnelStatus CC = TunnelStatus::CostCeiling; +constexpr TunnelStatus FAILED = TunnelStatus::Failed; +constexpr TunnelStatus BLACKHOLED = TunnelStatus::Blackholed; +const std::optional INF; // +inf + +using Amounts = std::vector; +using Edges = std::vector; +using Pairs = std::vector>; +// A by_tunnel row: (index, head, status, assigned, delivered, dropped). +using Row = std::tuple; +using Rows = std::vector; +// A by_source row: (source, offered or -1 when Lossless, admitted, delivered, source_loss, dropped). +using SourceRow = std::tuple; + +// A graph whose rows are given in EdgeId order (the ledger's eK notation). +std::shared_ptr ordered(std::int32_t n, const std::vector& rows) { + auto g = shared(make_graph(n, rows)); + for (std::size_t i = 0; i < rows.size(); ++i) EXPECT_EQ(g->input_index()[i], static_cast(i)); + return g; +} + +FlowPolicyConfig t1(std::int64_t n, Admission a = LOSSLESS, std::optional ceiling = std::nullopt, + Amount minimum = 0, std::optional sel = std::nullopt) { + return FlowPolicyConfig {.routing = CapacityAware {Tunnels {n}, ceiling, minimum}, .admission = a, .selection = sel}; +} + +PathSelection sel(EdgeTieBreak t, EdgePriority p, bool multi_edge = true) { return PathSelection(t, p, false, multi_edge); } +constexpr EdgeTieBreak DET = EdgeTieBreak::Deterministic; +constexpr EdgeTieBreak PHP = EdgeTieBreak::PreferHigherPriority; + +Amount lo(const Counter128& c) { + EXPECT_EQ(c.hi, 0U); + return static_cast(c.lo); +} +Amount lo(const std::optional& c) { return c.has_value() ? lo(*c) : -1; } + +Rows rows(const PlacementResult& r) { + Rows out; + for (const auto& t : r.by_tunnel) out.emplace_back(t.index, t.head, t.status, lo(t.assigned), t.delivered, lo(t.dropped)); + return out; +} +std::vector source_rows(const PlacementResult& r) { + std::vector out; + for (const auto& s : r.by_source) { + out.emplace_back(s.source, lo(s.offered), lo(s.admitted), s.delivered, lo(s.source_loss), lo(s.dropped)); + } + return out; +} +std::vector statuses(const ForwardingProgram& p) { + std::vector out; + for (const auto& t : p.tunnels()) out.push_back(t.status); + return out; +} +// Each tunnel's path (empty when down), in index order. +std::vector routes(const ForwardingProgram& p) { + std::vector out; + for (const auto& t : p.tunnels()) out.push_back(t.edges.value_or(Edges {})); + return out; +} +Amounts requests(const ForwardingProgram& p) { + Amounts out; + for (const auto& t : p.tunnels()) out.push_back(t.requested); + return out; +} +std::vector> entries(const std::vector& records) { + std::vector> out; + for (const auto& r : records) out.push_back(r.entry); + return out; +} +std::vector holds(const std::vector& records) { + std::vector out; + for (const auto& r : records) out.push_back(r.reserved_edges); + return out; +} + +// One policy on its own ledger. +struct Pol { + std::shared_ptr ledger; + std::unique_ptr p; + FlowPolicy* operator->() const { return p.get(); } +}; +Pol make(const std::shared_ptr& g, std::vector s, std::vector d, const FlowPolicyConfig& c, + const Eligibility* elig = nullptr, std::shared_ptr ledger = nullptr) { + Pol out; + out.ledger = ledger ? std::move(ledger) : std::make_shared(g); + out.p = std::make_unique(*out.ledger, s, d, c, elig); + return out; +} + +// The graphs of the hand derivations. +std::shared_ptr one10() { return ordered(2, {{0, 1, 10, 1}}); } +std::shared_ptr twoh(Amount a, Amount b) { return ordered(3, {{0, 2, a, 1}, {1, 2, b, 1}}); } +std::shared_ptr par612() { return ordered(2, {{0, 1, 6, 1}, {0, 1, 6, 2}}); } +std::shared_ptr diam5() { + return ordered(4, {{0, 1, 6, 1}, {0, 2, 6, 3}, {1, 2, 4, 1}, {1, 3, 6, 3}, {2, 3, 6, 1}}); +} +std::shared_ptr x8() { return ordered(3, {{0, 2, 0, 1}, {1, 2, 8, 3}}); } +std::shared_ptr zl() { return ordered(2, {{0, 1, 0, 1}, {0, 1, 10, 2}}); } + +const OutputOptions kHolds {.reservation_edge_flows = true}; + +} // namespace + +// ---------------------------------------------------------------- the contract's examples + +// Every T1 example of the contract (6.2 to 6.4, 3.4), reproduced with the example's own inputs +// and expected values: the requests in round order, every tunnel's status and path, the holds per +// edge and in all, the lossless bound (Lossless replace(+inf, D)), and with an offer O the Lossy +// shares per entry, delivery and source loss of replace(O, D). +TEST(T1Setup, ContractExamples) { + struct Example { + const char* id; + std::int32_t n; + std::vector edges; + std::vector heads; + NodeId dst; + Amount D; + std::int64_t N; + std::optional ceiling; + Amounts requests; + std::vector routes; + std::vector status; + Amount reserved; + Amounts reserved_edges; + Amount bound; + std::optional offer {}; + Amounts shares {}; // Lossy offered per entry + Amount delivery {0}; + Amount source_loss {0}; + }; + const std::vector diam = {{0, 1, 6, 1}, {0, 2, 6, 3}, {1, 2, 4, 1}, {1, 3, 6, 3}, {2, 3, 6, 1}}; + const std::vector g1 = {{0, 1, 8192, 1}, {0, 2, 40960, 1}, {1, 3, 8192, 1}, {2, 3, 40960, 1}}; + std::vector branch_routes(16, Edges {1, 3}); + branch_routes[0] = branch_routes[1] = Edges {0, 2}; + branch_routes[15] = {}; + std::vector branch_status(16, UP); + branch_status[15] = NB; + std::vector large_routes(16, Edges {}); + large_routes[0] = Edges {1, 3}; + std::vector large_status(16, NB); + large_status[0] = UP; + Amounts branch_shares(16, 3277); + branch_shares[12] = branch_shares[13] = branch_shares[14] = 3276; + branch_shares[15] = 0; + const std::vector examples = { + {"four tunnels on two parallel links", + 2, {{0, 1, 6, 1}, {0, 1, 6, 2}}, {0}, 1, 12, 4, std::nullopt, {3, 3, 3, 3}, {{0}, {0}, {1}, {1}}, + {UP, UP, UP, UP}, 12, {6, 6}, 12, 13, {4, 3, 3, 3}, 12, 0}, + {"uneven requests 3 and 2", + 2, {{0, 1, 3, 1}, {0, 1, 2, 2}}, {0}, 1, 5, 2, std::nullopt, {3, 2}, {{0}, {1}}, {UP, UP}, 5, {3, 2}, 5, 5, + {3, 2}, 5, 0}, + {"a share below the tunnel count", + 2, {{0, 1, 6, 1}, {0, 1, 6, 2}}, {0}, 1, 1, 2, std::nullopt, {1, 0}, {{0}, {0}}, {UP, UP}, 1, + {1, 0}, 6, 1, {1, 0}, 1, 0}, + {"carried above the holds", + 2, {{0, 1, 5, 1}, {0, 1, 5, 1}}, {0}, 1, 8, 2, std::nullopt, {4, 4}, {{0}, {1}}, {UP, UP}, + 8, {4, 4}, 10, 10, {5, 5}, 10, 0}, + {"a zero request on a zero-capacity link", + 2, {{0, 1, 0, 1}}, {0}, 1, 0, 1, std::nullopt, {0}, {{0}}, {UP}, 0, {0}, 0, 1, {1}, 0, 0}, + {"the last tunnel without bandwidth", + 2, {{0, 1, 2, 1}, {0, 1, 10, 2}}, {0}, 1, 12, 4, std::nullopt, {3, 3, 3, 3}, {{1}, {1}, {1}, {}}, + {UP, UP, UP, NB}, 9, {0, 9}, 10, 12, {4, 4, 4, 0}, 10, 0}, + {"two heads sharing a link", + 4, {{0, 2, 6, 1}, {1, 2, 6, 1}, {2, 3, 6, 1}}, {0, 1}, 3, 12, 2, std::nullopt, {3, 3, 3, 3}, + {{0, 2}, {1, 2}, {}, {}}, {UP, UP, NB, NB}, 6, {3, 3, 6}, 6, 12, {6, 6, 0, 0}, 6, 0}, + {"three heads, one with a zero request", + 4, {{0, 3, 20, 1}, {1, 3, 20, 1}, {2, 3, 20, 1}}, {0, 1, 2}, 3, 2, 1, std::nullopt, {1, 1, 0}, + {{0}, {1}, {2}}, {UP, UP, UP}, 2, {1, 1, 0}, 60, 3, {1, 1, 1}, 3, 0}, + {"two equal links, one tunnel each", + 2, {{0, 1, 5, 1}, {0, 1, 5, 1}}, {0}, 1, 8, 2, std::nullopt, {4, 4}, {{0}, {1}}, {UP, UP}, 8, {4, 4}, 10, + 8, {4, 4}, 8, 0}, + {"a head behind a zero-capacity link", + 3, {{0, 2, 0, 1}, {1, 2, 8, 3}}, {0, 1}, 2, 4, 1, std::nullopt, {2, 2}, {{}, {1}}, {NB, UP}, 2, {0, 2}, 0, + 4, {0, 2}, 2, 2}, + {"a head behind a zero-capacity link, Absolute(3)", + 3, {{0, 2, 0, 1}, {1, 2, 8, 3}}, {0, 1}, 2, 4, 1, Absolute {3}, {2, 2}, {{}, {1}}, {NB, UP}, 2, + {0, 2}, 0}, + {"a head behind a zero-capacity link, Stretch(2)", + 3, {{0, 2, 0, 1}, {1, 2, 8, 3}}, {0, 1}, 2, 4, 1, Stretch {2.0}, {2, 2}, {{}, {}}, {NB, CC}, 0, + {0, 0}, 0}, + {"Stretch(1.2) just below the next path", + 2, {{0, 1, 0, 5}, {0, 1, 1, 6}}, {0}, 1, 1, 1, Stretch {1.2}, {1}, {{}}, {CC}, 0, {0, 0}, 0, + 1, {0}, 0, 1}, + {"the diamond, design 8", + 4, diam, {0}, 3, 8, 2, std::nullopt, {4, 4}, {{0, 2, 4}, {}}, {UP, NB}, 4, {4, 0, 4, 0, 4}, 4}, + {"the diamond, design 10", + 4, diam, {0}, 3, 10, 2, std::nullopt, {5, 5}, {{0, 3}, {1, 4}}, {UP, UP}, 10, {5, 5, 0, 5, 5}, 12}, + {"the diamond, design 14", + 4, diam, {0}, 3, 14, 2, std::nullopt, {7, 7}, {{}, {}}, {NB, NB}, 0, {0, 0, 0, 0, 0}, 0}, + {"two heads, the second with bandwidth", + 3, {{0, 2, 2, 1}, {1, 2, 10, 1}}, {0, 1}, 2, 12, 2, std::nullopt, {3, 3, 3, 3}, {{}, {1}, {}, {1}}, + {NB, UP, NB, UP}, 6, {0, 6}, 0, 12, {0, 3, 0, 3}, 6, 6}, + {"more tunnels than units", + 2, {{0, 1, 10, 1}}, {0}, 1, 3, 4, std::nullopt, {1, 1, 1, 0}, {{0}, {0}, {0}, {0}}, {UP, UP, UP, UP}, 3, + {3}, 10, 3, {1, 1, 1, 0}, 3, 0}, + {"an idle tunnel on a zero-capacity link", + 2, {{0, 1, 0, 1}, {0, 1, 10, 2}}, {0}, 1, 1, 2, std::nullopt, {1, 0}, {{1}, {0}}, {UP, UP}, 1, + {0, 1}, 1, 2, {1, 1}, 1, 0}, + {"a zero design", + 2, {{0, 1, 10, 1}}, {0}, 1, 0, 2, std::nullopt, {0, 0}, {{0}, {0}}, {UP, UP}, 0, {0}, 10, 4, + {2, 2}, 4, 0}, + // The sixteen tunnels' Lossy delivery (not in the example), by hand: tunnels 0 and 1 carry their 3277 + 3277 = + // 6554 within 8192; tunnels 2 to 14 bring 10 * 3277 + 3 * 3276 = 42598 to the 40960 link: 47514. + {"sixteen tunnels on two branches", + 4, g1, {0}, 3, 49152, 16, std::nullopt, Amounts(16, 3072), branch_routes, branch_status, 46080, + {6144, 39936, 6144, 39936}, 47262, 49152, branch_shares, 47514, 0}, + {"sixteen tunnels, a design above the network", + 4, g1, {0}, 3, 409600, 16, std::nullopt, Amounts(16, 25600), large_routes, large_status, + 25600, {0, 25600, 0, 25600}, 40960}, + }; + for (const auto& x : examples) { + const std::string where = x.id; + const auto g = ordered(x.n, x.edges); + // The setup and the lossless bound. + auto ll = make(g, x.heads, {x.dst}, t1(x.N, LOSSLESS, x.ceiling)); + const auto r = ll->replace(INF, x.D, kHolds); + ASSERT_TRUE(r.program) << where; + EXPECT_EQ(requests(*r.program), x.requests) << where; + EXPECT_EQ(routes(*r.program), x.routes) << where; + EXPECT_EQ(statuses(*r.program), x.status) << where; + ASSERT_TRUE(r.plan.has_value()) << where; + EXPECT_EQ(r.plan->reserved_total, x.reserved) << where; + EXPECT_EQ(*r.reservation_edge_flows, x.reserved_edges) << where; + EXPECT_EQ(ll.ledger->reserved(), x.reserved_edges) << where; + EXPECT_EQ(r.placed, x.bound) << where; + EXPECT_EQ(r.termination, Termination::Exhausted) << where; // an unlimited query + if (!x.offer.has_value()) continue; + auto ly = make(g, x.heads, {x.dst}, t1(x.N, LOSSY, x.ceiling)); + const auto s = ly->replace(*x.offer, x.D); + Amounts shares; + for (const auto& t : s.by_tunnel) shares.push_back(lo(t.assigned)); + EXPECT_EQ(shares, x.shares) << where; + EXPECT_EQ(s.placed, x.delivery) << where; + EXPECT_EQ(s.call_source_loss, x.source_loss) << where; + EXPECT_EQ(s.termination, Termination::Complete) << where; + // The setup does not depend on the offer (6.5): the same program as the Lossless call's. + EXPECT_EQ(routes(*s.program), x.routes) << where; + EXPECT_EQ(statuses(*s.program), x.status) << where; + } +} + +// The split of 6.2: D = 5 over two heads and N = 2: shares RR(5, 2) = (3, 2); requests in round +// order 2, 1, 1, 1. And TWOH(10, 10), D = 10: shares (5, 5), requests 3, 3, 2, 2. +TEST(T1Setup, RoundOrder) { + auto p = make(twoh(10, 10), {0, 1}, {2}, t1(2)); + const auto split = p->replace(5, 5); + EXPECT_EQ(requests(*split.program), (Amounts {2, 1, 1, 1})); + std::vector heads; + std::vector indices, locals; + for (const auto& t : split.program->tunnels()) { + heads.push_back(t.head); + indices.push_back(t.index); + locals.push_back(t.local_index); + } + EXPECT_EQ(heads, v({0, 1, 0, 1})); + EXPECT_EQ(indices, (std::vector {0, 1, 2, 3})); + EXPECT_EQ(locals, (std::vector {0, 0, 1, 1})); + EXPECT_EQ(split.plan->head_design, (std::vector> {{0, 3}, {1, 2}})); + EXPECT_EQ(requests(*p->replace(10, 10).program), (Amounts {3, 3, 2, 2})); +} + +// ---------------------------------------------------------------- setup (6.4) + +// PARX (e0 cap 4, e1 cap 10, both cost 1), N = 2, D = 8 (requests 4 and 4). DETERMINISTIC +// ignores priorities: e0 (lowest EdgeId), then e1 (e0 is filtered at U = 0). PREFER_HIGHER_PRIORITY: +// CAPACITY reads C (10 > 4): e1 twice; RESIDUAL reads U (10 > 4, then 6 > 4): e1 twice; HEADROOM +// reads U/C (4/4 = 10/10: a tie, then the lower EdgeId e0; then e0 is filtered): e0, e1. +TEST(T1Setup, PriorityTies) { + const auto g = ordered(2, {{0, 1, 4, 1}, {0, 1, 10, 1}}); + struct Case { + PathSelection s; + std::vector routes; + Amounts holds; + }; + for (const auto& c : {Case {sel(DET, EdgePriority::Capacity), {{0}, {1}}, {4, 4}}, + Case {sel(PHP, EdgePriority::Capacity), {{1}, {1}}, {0, 8}}, + Case {sel(PHP, EdgePriority::Residual), {{1}, {1}}, {0, 8}}, + Case {sel(PHP, EdgePriority::Headroom), {{0}, {1}}, {4, 4}}}) { + auto p = make(g, {0}, {1}, t1(2, LOSSLESS, std::nullopt, 0, c.s)); + const auto r = p->replace(8, 8); + EXPECT_EQ(routes(*r.program), c.routes); + EXPECT_EQ(p.ledger->reserved(), c.holds); + } +} + +// PVIEW (e0 cap 10, e1 cap 8) with FlowLedger(g, unreserved = [5, 8]), N = 1, D = 4: +// DETERMINISTIC e0; PHP CAPACITY e0 (C 10 > 8); PHP RESIDUAL e1 (U 8 > 5); PHP HEADROOM e1 (8/8 > +// 5/10). RESIDUAL and HEADROOM read U, not the service residual (both 10 and 8 here). +TEST(T1Setup, PriorityReadsUnreserved) { + const auto g = ordered(2, {{0, 1, 10, 1}, {0, 1, 8, 1}}); + const Amounts unreserved = {5, 8}; + for (const auto& [s, want] : {std::pair {sel(DET, EdgePriority::Capacity), Edges {0}}, + std::pair {sel(PHP, EdgePriority::Capacity), Edges {0}}, + std::pair {sel(PHP, EdgePriority::Residual), Edges {1}}, + std::pair {sel(PHP, EdgePriority::Headroom), Edges {1}}}) { + auto ledger = std::make_shared(g, g->capacity_units(), unreserved); + auto p = make(g, {0}, {1}, t1(1, LOSSLESS, std::nullopt, 0, s), nullptr, ledger); + EXPECT_EQ(routes(*p->replace(4, 4).program), (std::vector {want})); + } +} + +// FILT (e0 cap 2, e1 cap 10), N = 1, D = 6: the filter (e0: 2 < 6) runs before the +// collapse of parallel members, which would otherwise keep e0 (the lowest EdgeId at equal cost). +TEST(T1Setup, FilterBeforeCollapse) { + const auto g = ordered(2, {{0, 1, 2, 1}, {0, 1, 10, 1}}); + for (const bool multi_edge : {false, true}) { + auto p = make(g, {0}, {1}, t1(1, LOSSLESS, std::nullopt, 0, sel(DET, EdgePriority::Capacity, multi_edge))); + const auto r = p->replace(6, 6); + EXPECT_EQ(routes(*r.program), (std::vector {{1}})) << multi_edge; + EXPECT_EQ(statuses(*r.program), (std::vector {UP})) << multi_edge; + } + // The last-tunnel-without-bandwidth example with multi_edge = false (the filter comes before the + // collapse): UP, UP, UP, NB as with true. + const auto ax3 = ordered(2, {{0, 1, 2, 1}, {0, 1, 10, 2}}); + auto p = make(ax3, {0}, {1}, t1(4, LOSSLESS, std::nullopt, 0, sel(DET, EdgePriority::Capacity, false))); + EXPECT_EQ(statuses(*p->replace(12, 12).program), (std::vector {UP, UP, UP, NB})); +} + +// min_unreserved_bandwidth filters every attempt at max(b, minimum) and is never a +// reservation. PARC (e0 cap 4 cost 1, e1 cap 10 cost 2), N = 2, D = 2: minimum 5 filters e0 (4 < +// 5): both on e1, holds [0, 2], bound 10; minimum 0: both on e0, holds [2, 0], bound 4. ZL with +// minimum 1, D = 1, Lossy O = 2: requests 1 and 0, the request-0 tunnel now filtered at 1 too: +// both on e1, holds [0, 1], delivered 2 (without the minimum, 1 is delivered). +TEST(T1Setup, MinUnreserved) { + const auto parc = ordered(2, {{0, 1, 4, 1}, {0, 1, 10, 2}}); + for (const auto& [minimum, path, holding, bound] : + {std::tuple {Amount {5}, Edges {1}, Amounts {0, 2}, Amount {10}}, std::tuple {Amount {0}, Edges {0}, Amounts {2, 0}, Amount {4}}}) { + auto p = make(parc, {0}, {1}, t1(2, LOSSLESS, std::nullopt, minimum)); + const auto r = p->replace(INF, 2); + EXPECT_EQ(routes(*r.program), (std::vector {path, path})) << minimum; + EXPECT_EQ(p.ledger->reserved(), holding) << minimum; + EXPECT_EQ(r.placed, bound) << minimum; + EXPECT_EQ(r.plan->reserved_total, 2) << minimum; // the requests, not the minimum + } + auto z = make(zl(), {0}, {1}, t1(2, LOSSY, std::nullopt, 1)); + const auto r = z->replace(2, 1); + EXPECT_EQ(requests(*r.program), (Amounts {1, 0})); + EXPECT_EQ(routes(*r.program), (std::vector {{1}, {1}})); + EXPECT_EQ(z.ledger->reserved(), (Amounts {0, 1})); + EXPECT_EQ(r.placed, 2); +} + +// Other owners' holds reduce U (10.1). ONE10: policy A (N = 1) replace(6, 6) holds 6 +// (reserved [6], unreserved [4]); policy B (N = 1, Lossy) replace(6, 6) sees U = 4 < 6: NB, its +// share lost at the head; after A.remove() B's replace(6, 6) is up with the hold [6]. +TEST(T1Setup, OtherOwnersHolds) { + const auto g = one10(); + auto ledger = std::make_shared(g); + auto a = make(g, {0}, {1}, t1(1), nullptr, ledger); + auto b = make(g, {0}, {1}, t1(1, LOSSY), nullptr, ledger); + EXPECT_EQ(statuses(*a->replace(6, 6).program), (std::vector {UP})); + EXPECT_EQ(ledger->reserved(), (Amounts {6})); + EXPECT_EQ(ledger->unreserved(), (Amounts {4})); + const auto down = b->replace(6, 6); + EXPECT_EQ(statuses(*down.program), (std::vector {NB})); + EXPECT_EQ(down.call_source_loss, 6); + a->remove(); + const auto up = b->replace(6, 6); + EXPECT_EQ(statuses(*up.program), (std::vector {UP})); + EXPECT_EQ(ledger->reserved(), (Amounts {6})); + expect_balanced(*ledger, "after B's setup"); +} + +// TWOH(10, 10), N = 2, D = 10 with node 0 masked: the roster is [1] (requests 5, 5, +// head_design ((1, 10))); source 0 keeps a zero by_source row (Lossy: offered 0). +TEST(T1Setup, MaskedSource) { + const auto g = twoh(10, 10); + const auto mask = g->eligibility(std::vector {0}, {}); + auto p = make(g, {0, 1}, {2}, t1(2, LOSSY), &mask); + const auto r = p->replace(10, 10); + EXPECT_EQ(requests(*r.program), (Amounts {5, 5})); + EXPECT_EQ(r.plan->head_design, (std::vector> {{1, 10}})); + EXPECT_EQ(source_rows(r), (std::vector {{0, 0, 0, 0, 0, 0}, {1, 10, 10, 10, 0, 0}})); + EXPECT_EQ(vec(r.program->sources()), v({0, 1})); +} + +// Stretch(2) on X8: c0 = 1 is the pool minimum, through head 0's +// zero-capacity link (before any filter): head 1's only path costs 3 > 2: COST_CEILING (T0 took a +// per-head baseline of 3 and admitted it). Stretch(1e300) does not overflow: NB, UP. +TEST(T1Setup, StretchPoolBaseline) { + for (const auto& [f, second] : {std::pair {2.0, CC}, std::pair {1e300, UP}}) { + auto p = make(x8(), {0, 1}, {2}, t1(1, LOSSY, Stretch {f})); + EXPECT_EQ(statuses(*p->replace(4, 4).program), (std::vector {NB, second})) << f; + } + // Absolute is inclusive: Absolute(3) admits the cost-3 path, Absolute(2) not. + auto in = make(x8(), {0, 1}, {2}, t1(1, LOSSY, Absolute {3})); + EXPECT_EQ(statuses(*in->replace(4, 4).program), (std::vector {NB, UP})); + auto out = make(x8(), {0, 1}, {2}, t1(1, LOSSY, Absolute {2})); + EXPECT_EQ(statuses(*out->replace(4, 4).program), (std::vector {NB, CC})); + // Large costs compare exactly: two parallel paths of 2^60 and 2^60 + 1 (two units each), D = 4, + // N = 2: Stretch(1) admits only the cheaper one for the first tunnel, the second tunnel's only + // remaining path costs 2^60 + 1: CostCeiling; Stretch(1 + 2^-52) admits it. + const Cost half = Cost {1} << 59; + const auto big = ordered(5, {{0, 1, 2, half}, {0, 2, 2, half}, {1, 4, 2, half}, {2, 4, 2, half + 1}}); + for (const auto& [f, want] : {std::pair {1.0, std::vector {UP, CC}}, + std::pair {std::nextafter(1.0, 2.0), std::vector {UP, UP}}, + std::pair {std::ldexp(1.0, 70), std::vector {UP, UP}}}) { + auto p = make(big, {0}, {4}, t1(2, LOSSLESS, Stretch {f})); + EXPECT_EQ(statuses(*p->replace(4, 4).program), want) << f; + } + // The baseline ignores the setup view: a third party's holds on the cheap path leave c0 = 2^60. + auto ledger = std::make_shared(big); + auto third = make(big, {0}, {4}, t1(1), nullptr, ledger); + EXPECT_EQ(statuses(*third->replace(2, 2).program), (std::vector {UP})); + auto p = make(big, {0}, {4}, t1(1, LOSSLESS, Stretch {1.0}), nullptr, ledger); + EXPECT_EQ(statuses(*p->replace(2, 2).program), (std::vector {CC})); + // A fractional factor is inclusive at equality: Stretch(1.5) on c0 = 2 admits a path of cost 3 + // exactly and rejects one of cost 4 (the cheaper links are too small for the request of 5). + auto at = make(ordered(2, {{0, 1, 1, 2}, {0, 1, 10, 3}}), {0}, {1}, t1(1, LOSSLESS, Stretch {1.5})); + const auto ra = at->replace(5, 5); + EXPECT_EQ(statuses(*ra.program), (std::vector {UP})); + EXPECT_EQ(ra.program->tunnels()[0].route_cost, std::optional {3}); + auto above = make(ordered(2, {{0, 1, 1, 2}, {0, 1, 1, 3}, {0, 1, 10, 4}}), {0}, {1}, t1(1, LOSSLESS, Stretch {1.5})); + EXPECT_EQ(statuses(*above->replace(5, 5).program), (std::vector {CC})); +} + +// ---------------------------------------------------------------- forwarding (6.5) + +// TWOH(2, 10) Lossless replace(12, 12): head 0 has no up tunnel, so only the total +// 0 gives it nothing: placed 0, unadmitted 12, Exhausted; the holds stand ([0, 6]). +TEST(T1Forwarding, LosslessDeadHead) { + auto p = make(twoh(2, 10), {0, 1}, {2}, t1(2)); + const auto r = p->replace(12, 12); + EXPECT_EQ(r.placed, 0); + EXPECT_EQ(lo(r.unadmitted), 12); + EXPECT_EQ(r.termination, Termination::Exhausted); + EXPECT_EQ(p.ledger->reserved(), (Amounts {0, 6})); +} + +// Holds do not police and have no priority. ONE10: a CostOnly Lossy policy +// carries 10 (residual 0); T1 (N = 1, Lossy) replace(4, 4) sets up on unreserved 10 (not the +// residual): up, holding 4; its forwarding meets the residual 0: 4 dropped on e0, nothing delivered. +TEST(T1Forwarding, HoldsDoNotQueue) { + const auto g = one10(); + auto ledger = std::make_shared(g); + auto c = make(g, {0}, {1}, FlowPolicyConfig {CostOnly {}, FlowPlacement::EqualBalanced, LOSSY}, nullptr, ledger); + EXPECT_EQ(c->replace(10).placed, 10); + auto p = make(g, {0}, {1}, t1(1, LOSSY), nullptr, ledger); + const auto r = p->replace(4, 4); + EXPECT_EQ(statuses(*r.program), (std::vector {UP})); + EXPECT_EQ(ledger->reserved(), (Amounts {4})); + EXPECT_EQ(r.call_drops, (Pairs {{0, 4}})); + EXPECT_EQ(r.placed, 0); + EXPECT_EQ(ledger->residual(), (Amounts {0})); + // Carried above the holds (2.5): each tunnel holds 4 and carries 5. + auto o = make(ordered(2, {{0, 1, 5, 1}, {0, 1, 5, 1}}), {0}, {1}, t1(2, LOSSY)); + const auto over = o->replace(10, 8); + EXPECT_EQ(over.placed, 10); + for (const auto& rec : o->records()) { + EXPECT_EQ(rec.delivered, 5); + ASSERT_EQ(rec.reserved_edges.size(), 1U); + EXPECT_EQ(rec.reserved_edges[0].second, 4); + } +} + +// DIAM5 with D = 14: both tunnels down; Lossy replace(5, 14) loses +// the 5 at the head (Complete: 14.2 rule (3) needs an entry with a path); Lossless places 0 +// (Exhausted). The contract's offer 14 loses 14. +TEST(T1Forwarding, AllDown) { + for (const Amount offer : {5, 14}) { + auto ly = make(diam5(), {0}, {3}, t1(2, LOSSY)); + const auto r = ly->replace(offer, 14); + EXPECT_EQ(statuses(*r.program), (std::vector {NB, NB})); + EXPECT_EQ(r.call_source_loss, offer); + EXPECT_EQ(r.placed, 0); + EXPECT_EQ(r.termination, Termination::Complete); + auto ll = make(diam5(), {0}, {3}, t1(2)); + const auto s = ll->replace(offer, 14); + EXPECT_EQ(s.placed, 0); + EXPECT_EQ(s.termination, Termination::Exhausted); + } +} + +// PAR612, N = 4, Lossy replace(13, 12): shares RR(13, 4) = (4, 3, 3, 3); e0 +// receives 7 > 6 and carries H(6, [4, 3]) = (4, 2): tunnel 1 drops 1. +TEST(T1Forwarding, ByTunnel) { + auto p = make(par612(), {0}, {1}, t1(4, LOSSY)); + const auto r = p->replace(13, 12); + EXPECT_EQ(rows(r), (Rows {{0, 0, UP, 4, 4, 0}, {1, 0, UP, 3, 2, 1}, {2, 0, UP, 3, 3, 0}, {3, 0, UP, 3, 3, 0}})); + EXPECT_EQ(r.call_drops, (Pairs {{0, 1}})); + EXPECT_EQ(r.placed, 12); +} + +// ---------------------------------------------------------------- operations (6.6, 10.2, 10.3) + +// The contract's call of 6.6: TWOH(2, 10), N = 2, Lossy replace(12, 12), +// then forward(8). +TEST(T1Operations, ContractCall) { + auto p = make(twoh(2, 10), {0, 1}, {2}, t1(2, LOSSY)); + const auto r = p->replace(12, 12, kHolds); + EXPECT_EQ(statuses(*r.program), (std::vector {NB, UP, NB, UP})); + EXPECT_EQ(r.placed, 6); + EXPECT_EQ(r.call_source_loss, 6); + EXPECT_EQ(r.plan->reserved_total, 6); + EXPECT_EQ(r.plan->count, 2); + EXPECT_EQ(r.plan->design_demand, std::optional {12}); + EXPECT_EQ(r.plan->head_design, (std::vector> {{0, 6}, {1, 6}})); + EXPECT_EQ(*r.reservation_edge_flows, (Amounts {0, 6})); + EXPECT_EQ(rows(r), (Rows {{0, 0, NB, 0, 0, 0}, {1, 1, UP, 3, 3, 0}, {2, 0, NB, 0, 0, 0}, {3, 1, UP, 3, 3, 0}})); + EXPECT_EQ(source_rows(r), (std::vector {{0, 6, 6, 0, 6, 0}, {1, 6, 6, 6, 0, 0}})); + const auto recs = p->records(); + EXPECT_EQ(entries(recs), (std::vector> {0, 1, 2, 3})); + EXPECT_EQ(holds(recs), (std::vector {{}, {{1, 3}}, {}, {{1, 3}}})); + for (const std::size_t down : {0U, 2U}) { + EXPECT_TRUE(ascending_edges(*recs[down].bundle).empty()); + EXPECT_EQ(recs[down].route_cost, kUnreachable); + } + EXPECT_EQ(ascending_edges(*recs[1].bundle), (Edges {1})); + EXPECT_EQ(recs[1].route_cost, 1); + std::vector before; + for (const auto& rec : recs) before.push_back(rec.flow_id.second); + // forward(8): the same tunnels and holds; head 0 still loses its share (4). + const auto f = p->forward(8); + EXPECT_EQ(f.placed, 4); + EXPECT_EQ(f.call_source_loss, 4); + EXPECT_EQ(f.delivery_delta, -2); + EXPECT_FALSE(f.routes_changed || f.weights_changed || f.reservations_changed); + EXPECT_EQ(f.program, r.program); + EXPECT_TRUE(f.plan == r.plan); + EXPECT_EQ(p.ledger->reserved(), (Amounts {0, 6})); + Amounts shares; + for (const auto& t : f.by_tunnel) shares.push_back(lo(t.assigned)); + EXPECT_EQ(shares, (Amounts {0, 2, 0, 2})); + const auto after = p->records(); + EXPECT_EQ(holds(after), holds(recs)); + for (std::size_t i = 0; i < after.size(); ++i) EXPECT_NE(after[i].flow_id.second, before[i]); + expect_balanced(*p.ledger, "after forward"); +} + +// ONE10, N = 1, Lossless replace(6, 6) twice: the second sees U = 10 (its own hold +// released): up again, reserved [6] (not 12); all three flags false; the record id is new. +TEST(T1Operations, ReplaceReleasesOwnHolds) { + auto p = make(one10(), {0}, {1}, t1(1)); + (void)p->replace(6, 6); + const auto id = p->records().front().flow_id; + const auto r = p->replace(6, 6); + EXPECT_EQ(statuses(*r.program), (std::vector {UP})); + EXPECT_EQ(p.ledger->reserved(), (Amounts {6})); + EXPECT_FALSE(r.routes_changed || r.weights_changed || r.reservations_changed); + EXPECT_NE(p->records().front().flow_id, id); +} + +// After replace(6, 6) on ONE10, evaluate(3, 8) sets up for 8 (its result holds 8) and publishes +// nothing; replace(0) with N = 2 (D = 0): both up without a hold, Complete; replace(0, 12): requests +// 6, 6, tunnel 0 up (U = 10), tunnel 1 NB (U = 4 < 6), holds [6]: a zero offer still books holds +// (10.3). +TEST(T1Operations, EvaluateAndZero) { + auto p = make(one10(), {0}, {1}, t1(1)); + (void)p->replace(6, 6); + const auto ledger = ledger_state(*p.ledger); + const auto ep = epoch(*p.p); + const auto e = p->evaluate(3, 8, kHolds); + EXPECT_EQ(statuses(*e.program), (std::vector {UP})); + EXPECT_EQ(requests(*e.program), (Amounts {8})); + EXPECT_EQ(e.program->tunnels()[0].reserved, 8); + EXPECT_EQ(e.plan->reserved_total, 8); + EXPECT_EQ(*e.reservation_edge_flows, (Amounts {8})); + EXPECT_EQ(e.placed, 3); + expect_same(ledger_state(*p.ledger), ledger, "evaluate"); + expect_unchanged(epoch(*p.p), ep, "evaluate"); + auto q = make(one10(), {0}, {1}, t1(2)); + const auto z = q->replace(0); + EXPECT_EQ(statuses(*z.program), (std::vector {UP, UP})); + EXPECT_EQ(requests(*z.program), (Amounts {0, 0})); + EXPECT_EQ(q.ledger->reserved(), (Amounts {0})); + EXPECT_EQ(z.termination, Termination::Complete); + EXPECT_EQ(z.placed, 0); + const auto z12 = q->replace(0, 12); + EXPECT_EQ(requests(*z12.program), (Amounts {6, 6})); + EXPECT_EQ(statuses(*z12.program), (std::vector {UP, NB})); + EXPECT_EQ(q.ledger->reserved(), (Amounts {6})); + EXPECT_EQ(z12.termination, Termination::Complete); +} + +// PAR612, N = 4, Lossless replace(+inf, 12): placed 12, remaining +inf, requested +inf, +// unadmitted absent, Exhausted. +TEST(T1Operations, InfiniteOffer) { + auto p = make(par612(), {0}, {1}, t1(4)); + const auto r = p->replace(INF, 12); + EXPECT_EQ(r.placed, 12); + EXPECT_FALSE(r.remaining.has_value()); + EXPECT_FALSE(r.requested.has_value()); + EXPECT_FALSE(r.unadmitted.has_value()); + EXPECT_EQ(r.termination, Termination::Exhausted); +} + +// EMPTY (node 0 has no edge), N = 2: replace(5, 5) Lossy is NO_ROUTE with the empty +// program (sources (0,), destinations (2,), no tunnel), the plan (count 2, design 5, no head, no +// hold), the 5 lost outside every row; replace(0, 5), evaluate(0, 5) and forward(0) are Complete. +TEST(T1Operations, EmptyRoster) { + const auto g = ordered(3, {{1, 2, 5, 1}}); + auto p = make(g, {0}, {2}, t1(2, LOSSY)); + const auto r = p->replace(5, 5); + EXPECT_EQ(r.termination, Termination::NoRoute); + ASSERT_TRUE(r.program); + EXPECT_EQ(vec(r.program->sources()), v({0})); + EXPECT_EQ(vec(r.program->destinations()), v({2})); + EXPECT_TRUE(r.program->tunnels().empty()); + EXPECT_TRUE(r.plan == (TunnelPlan {2, 5, {}, 0})); + EXPECT_EQ(r.call_source_loss, 5); + EXPECT_EQ(source_rows(r), (std::vector {{0, 0, 0, 0, 0, 0}})); + EXPECT_TRUE(p->records().empty()); + for (const auto& z : {p->replace(0, 5), p->evaluate(0, 5), p->forward(0)}) { + EXPECT_EQ(z.termination, Termination::Complete); + EXPECT_TRUE(z.program && z.program->tunnels().empty()); + EXPECT_TRUE(z.plan.has_value()); + } + EXPECT_TRUE(p->records().empty()); +} + +// DIAM5, N = 2: replace(8, 8) (one tunnel up), replace(10, 10) (both up: routes, +// weights 1, 0 to 1, 1, and reservations all change), forward(10) (none). The first program of +// the diamond with design 14 (all down) changes routes and reservations (requests 7, 7) but no weight. +TEST(T1Operations, Flags) { + auto p = make(diam5(), {0}, {3}, t1(2)); + const auto first = p->replace(8, 8); + EXPECT_TRUE(first.routes_changed && first.weights_changed && first.reservations_changed); + const auto second = p->replace(10, 10); + EXPECT_TRUE(second.routes_changed && second.weights_changed && second.reservations_changed); + const auto f = p->forward(10); + EXPECT_FALSE(f.routes_changed || f.weights_changed || f.reservations_changed); + auto down = make(diam5(), {0}, {3}, t1(2, LOSSY)); + const auto d = down->replace(5, 14); + EXPECT_TRUE(d.routes_changed); + EXPECT_FALSE(d.weights_changed); + EXPECT_TRUE(d.reservations_changed); + // Only the requests change (D = 15: requests 8 and 7, still all down): reservations alone. + const auto d2 = down->replace(5, 15); + EXPECT_FALSE(d2.routes_changed || d2.weights_changed); + EXPECT_TRUE(d2.reservations_changed); + // A controller's tunnels hold nothing: a change in their number is a route change, never a + // reservation change (a tunnel absent from one program counts as (0, 0) there). + auto gl = make(diam5(), {0}, {3}, global_config()); + const auto many = gl->replace(INF); + ASSERT_GT(many.program->tunnels().size(), 1u); + EXPECT_FALSE(many.reservations_changed); + const auto one = gl->replace(1); + ASSERT_EQ(one.program->tunnels().size(), 1u); + EXPECT_TRUE(one.routes_changed); + EXPECT_FALSE(one.reservations_changed); + const auto again = gl->replace(INF); + EXPECT_TRUE(again.routes_changed); + EXPECT_FALSE(again.reservations_changed); + // Equal requests, changed holds: two links of 4, N = 2, D = 8 (requests 4, 4). Another owner's + // hold of 1 on e0 leaves tunnel 0 on e1 and tunnel 1 down (reserved 4, 0); once it leaves, the + // same design brings both up (reserved 4, 4): the reservations changed though no request did. + const auto two = ordered(2, {{0, 1, 4, 1}, {0, 1, 4, 1}}); + auto ledger = std::make_shared(two); + auto other = make(two, {0}, {1}, t1(1), nullptr, ledger); + (void)other->replace(1, 1); + auto mine = make(two, {0}, {1}, t1(2), nullptr, ledger); + const auto held = mine->replace(8, 8); + EXPECT_EQ(statuses(*held.program), (std::vector {UP, NB})); + other->remove(); + const auto freed = mine->replace(8, 8); + EXPECT_EQ(statuses(*freed.program), (std::vector {UP, UP})); + EXPECT_EQ(requests(*held.program), requests(*freed.program)); + EXPECT_TRUE(freed.reservations_changed); +} + +// The comparison behind the flags (10.4): a tunnel absent from one program counts as (0, 0) there, +// so programs of zero requests and holds with different tunnel counts (or none) are no reservation +// change, and a program that holds something against none is one. No T1 call changes its tunnel +// count, so only this direct check reaches the absent-tunnel branches. +TEST(T1Operations, AbsentTunnelsCountAsZero) { + auto two = make(one10(), {0}, {1}, t1(2)); + const auto zero2 = two->replace(0, 0).program; // two tunnels, requests 0 + auto one = make(one10(), {0}, {1}, t1(1)); + const auto zero1 = one->replace(0, 0).program; // one tunnel, request 0 + const auto held1 = one->replace(0, 6).program; // one tunnel holding 6 + ASSERT_EQ(zero2->tunnels().size(), 2U); + ASSERT_EQ(held1->tunnels()[0].reserved, 6); + EXPECT_FALSE(detail::compare_programs(zero2.get(), zero1.get()).reservations); // absent after + EXPECT_FALSE(detail::compare_programs(zero1.get(), zero2.get()).reservations); // absent before + EXPECT_FALSE(detail::compare_programs(zero2.get(), nullptr).reservations); + EXPECT_FALSE(detail::compare_programs(nullptr, zero2.get()).reservations); + EXPECT_TRUE(detail::compare_programs(held1.get(), nullptr).reservations); + EXPECT_TRUE(detail::compare_programs(nullptr, held1.get()).reservations); + EXPECT_TRUE(detail::compare_programs(held1.get(), zero2.get()).reservations); +} + +// T1 has no incremental place (also 0), and forward needs an installed program. +TEST(T1Operations, NoIncrementsAndForwardNeedsAProgram) { + auto p = make(one10(), {0}, {1}, t1(1)); + EXPECT_EQ(error_of([&] { (void)p->place(5); }), "T1 does not support incremental placement"); + EXPECT_EQ(error_of([&] { (void)p->place(0); }), "T1 does not support incremental placement"); + EXPECT_EQ(error_of([&] { (void)p->forward(5); }), "forward requires an installed program"); + (void)p->replace(1, 1); + p->remove(); + EXPECT_EQ(error_of([&] { (void)p->forward(5); }), "forward requires an installed program"); +} + +// The call's checks in their order (the offer, LOSSY's finite offer, then the +// design: the model, its domain, finiteness) and the terminations. +TEST(T1Operations, DesignValidationAndTerminations) { + const auto g = one10(); + for (const auto& c : {cost_only_config(), global_config(), + FlowPolicyConfig {.routing = pinned_paths(*g, {0}, {1}, {{0, {0}, 1}})}}) { + auto p = make(g, {0}, {1}, c); + const std::string model = detail::model_name(c.routing); + EXPECT_EQ(error_of([&] { (void)p->replace(5, 5); }), model + " does not accept design_demand"); + EXPECT_EQ(error_of([&] { (void)p->evaluate(5, 5); }), model + " does not accept design_demand"); + EXPECT_EQ(error_of([&] { (void)p->replace(5, std::optional {}); }), model + " does not accept design_demand"); + } + auto ll = make(g, {0}, {1}, t1(1)); + const std::string domain = "design_demand must be an integer in [0, 2^62) or permitted +inf"; + EXPECT_EQ(error_of([&] { (void)ll->replace(5, -1); }), domain); + EXPECT_EQ(error_of([&] { (void)ll->replace(5, kL62); }), domain); + EXPECT_EQ(error_of([&] { (void)ll->replace(-1, -1); }), "offer must be an integer in [0, 2^62) or permitted +inf"); + EXPECT_EQ(error_of([&] { (void)ll->replace(5, std::optional {}); }), "T1 requires a finite design demand"); + EXPECT_EQ(error_of([&] { (void)ll->replace(INF); }), "T1 requires a finite design demand"); + EXPECT_EQ(error_of([&] { (void)ll->evaluate(INF); }), "T1 requires a finite design demand"); + auto ly = make(g, {0}, {1}, t1(1, LOSSY)); + EXPECT_EQ(error_of([&] { (void)ly->replace(INF, 5); }), "LOSSY forwarding requires a finite offer"); + EXPECT_TRUE(ll.ledger->records().empty() && ly.ledger->records().empty()); + // Terminations: zero offer, Lossy finite, Lossless full and partial, unlimited. + EXPECT_EQ(ll->replace(0, 5).termination, Termination::Complete); + EXPECT_EQ(ll->replace(10, 10).termination, Termination::Complete); + EXPECT_EQ(ll->replace(11, 10).termination, Termination::Exhausted); + EXPECT_EQ(ll->replace(INF, 10).termination, Termination::Exhausted); + EXPECT_EQ(ly->replace(11, 10).termination, Termination::Complete); + // A zero-weight route, the case rule (3) keeps: one supplied path of weight 0, both admissions. + for (const auto a : {LOSSLESS, LOSSY}) { + auto z = make(g, {0}, {1}, FlowPolicyConfig {.routing = pinned_paths(*g, {0}, {1}, {{0, {0}, 0}}), .admission = a}); + const auto r = z->replace(4); + EXPECT_EQ(r.termination, Termination::NoActiveWeight); + if (a == LOSSY) EXPECT_EQ(r.call_source_loss, 4); + } +} + +// No certificate for T1 (total_cost, min_cut, cost_distribution absent), and plan +// only for T1 (absent for the other models, Pinned over a T1 program too). +TEST(T1Operations, NoCertificatesAndPlanOnlyForT1) { + const auto g = twoh(2, 10); + auto p = make(g, {0, 1}, {2}, t1(2)); + const auto r = p->replace(INF, 12, OutputOptions {.min_cut = true}); + EXPECT_FALSE(r.total_cost.has_value() || r.min_cut.has_value() || r.cost_distribution.has_value()); + ASSERT_TRUE(r.plan.has_value()); + auto pin = make(g, {0, 1}, {2}, FlowPolicyConfig {.routing = Pinned {r.program, nullptr}}); + EXPECT_FALSE(pin->replace(12).plan.has_value()); + for (const auto& c : {cost_only_config(), global_config()}) { + auto q = make(g, {0, 1}, {2}, c); + EXPECT_FALSE(q->place(5).plan.has_value()); + EXPECT_FALSE(q->replace(5).plan.has_value()); + } +} + +// ---------------------------------------------------------------- the two projections (10.1, 10.3) + +// The two projections of one link: ONE10, N = 1, Lossless replace(4, 6): carried 4, held 6 (allocated [4], +// residual [6], reserved [6], unreserved [4]); then replace(2, 6): placed 2, delivery_delta -2. A +// CostOnly policy on the same ledger then places 6 (the residual): holds are never added to +// carried load. +TEST(LedgerProjections, ELedger) { + const auto g = one10(); + auto ledger = std::make_shared(g); + auto p = make(g, {0}, {1}, t1(1), nullptr, ledger); + (void)p->replace(4, 6); + EXPECT_EQ(ledger->allocated(), (Amounts {4})); + EXPECT_EQ(ledger->residual(), (Amounts {6})); + EXPECT_EQ(ledger->reserved(), (Amounts {6})); + EXPECT_EQ(ledger->unreserved(), (Amounts {4})); + auto c = make(g, {0}, {1}, cost_only_config(), nullptr, ledger); + EXPECT_EQ(c->place(10).placed, 6); + c->remove(); + const auto r = p->replace(2, 6); + EXPECT_EQ(r.placed, 2); + EXPECT_EQ(r.delivery_delta, -2); + expect_balanced(*ledger, "the two projections of one link"); +} + +// The reservation baseline is the setup's U: unreserved [3] puts +// a request of 4 down while the residual stays 10; its texts are the residual baseline's with the +// name unreserved, checked after the residual's. +TEST(LedgerProjections, Baselines) { + const auto g = one10(); + auto ledger = std::make_shared(g, g->capacity_units(), Amounts {3}); + auto p = make(g, {0}, {1}, t1(1), nullptr, ledger); + EXPECT_EQ(statuses(*p->replace(4, 4).program), (std::vector {NB})); + EXPECT_EQ(ledger->residual(), (Amounts {10})); + EXPECT_EQ(ledger->unreserved(), (Amounts {3})); + EXPECT_EQ(error_of([&] { FlowLedger x(g, g->capacity_units(), Amounts {3, 1}); }), + "unreserved has length 2, expected 1 (one entry per edge)"); + EXPECT_EQ(error_of([&] { FlowLedger x(g, g->capacity_units(), Amounts {11}); }), + "unreserved[0] = 11 is outside [0, capacity_units[0] = 10]"); + EXPECT_EQ(error_of([&] { FlowLedger x(g, Amounts {11}, Amounts {11}); }), + "residual[0] = 11 is outside [0, capacity_units[0] = 10]"); + // The contract's two-edge cases of the unreserved texts. + const auto two = ordered(2, {{0, 1, 10, 1}, {0, 1, 10, 1}}); + EXPECT_EQ(error_of([&] { FlowLedger x(two, two->capacity_units(), Amounts {1, 2, 3}); }), + "unreserved has length 3, expected 2 (one entry per edge)"); + EXPECT_EQ(error_of([&] { FlowLedger x(two, two->capacity_units(), Amounts {5, 11}); }), + "unreserved[1] = 11 is outside [0, capacity_units[1] = 10]"); + EXPECT_EQ(error_of([&] { FlowLedger x(two, two->capacity_units(), Amounts {10, 0}); }), ""); +} + +// remove() releases both projections and clears the program. +TEST(LedgerProjections, RemoveReleasesBoth) { + auto p = make(one10(), {0}, {1}, t1(1)); + (void)p->replace(4, 6); + p->remove(); + EXPECT_EQ(p.ledger->reserved(), (Amounts {0})); + EXPECT_EQ(p.ledger->allocated(), (Amounts {0})); + EXPECT_EQ(p->program(), nullptr); + EXPECT_TRUE(p->records().empty()); + p->remove(); // a repeated remove does nothing + EXPECT_EQ(p.ledger->reserved(), (Amounts {0})); +} + +// A policy destroyed without remove() leaves its holds as orphans (records readable) +// until reset(); reset(residual, unreserved) sets both baselines; a copy of an unbound ledger keeps +// the holds and records under a new uid; a bound ledger cannot be copied or reset. +TEST(LedgerProjections, OrphansResetAndCopy) { + const auto g = one10(); + auto ledger = std::make_shared(g); + { + auto p = std::make_unique(*ledger, v({0}), v({1}), t1(1)); + (void)p->replace(4, 6); + EXPECT_EQ(error_of([&] { FlowLedger copy(*ledger); }), "FlowLedger: a ledger with bound policies cannot be copied"); + EXPECT_EQ(error_of([&] { ledger->reset(); }), "FlowLedger.reset is rejected while a policy is bound (1 bound)"); + } + EXPECT_EQ(ledger->reserved(), (Amounts {6})); + ASSERT_EQ(ledger->records().size(), 1U); + EXPECT_EQ(ledger->records().front().reserved_edges, (Pairs {{0, 6}})); + const FlowLedger copy(*ledger); + EXPECT_NE(copy.uid(), ledger->uid()); + EXPECT_EQ(copy.reserved(), (Amounts {6})); + EXPECT_EQ(copy.unreserved(), (Amounts {4})); + ASSERT_EQ(copy.records().size(), 1U); + EXPECT_EQ(copy.records().front().reserved_edges, (Pairs {{0, 6}})); + EXPECT_EQ(copy.records().front().flow_id.first, copy.uid()); + expect_balanced(copy, "the copy"); + ledger->reset(); + EXPECT_EQ(ledger->reserved(), (Amounts {0})); + EXPECT_TRUE(ledger->records().empty()); + EXPECT_EQ(copy.reserved(), (Amounts {6})); // the copy owns its holds + ledger->reset(g->capacity_units(), Amounts {3}); + EXPECT_EQ(ledger->unreserved(), (Amounts {3})); + EXPECT_EQ(ledger->residual(), (Amounts {10})); + ledger->reset(Amounts {7}); + EXPECT_EQ(ledger->unreserved(), (Amounts {10})); // an absent reservation baseline: the capacities + EXPECT_EQ(ledger->residual(), (Amounts {7})); +} + +// A ledger stores no holds until something holds (a policy without holds pays nothing for the +// reservation projection): it reads holds 0 and the capacities, or the given reservation +// baseline, as unreserved; the first hold stores them; a reset empties them again. A copy of an +// unheld ledger owns its own storage once either side holds. +TEST(LedgerProjections, HoldsAreStoredFromTheFirstHold) { + const auto g = twoh(2, 10); + FlowLedger fg(g); + EXPECT_TRUE(detail::LedgerAccess::reserved(fg).empty()); + EXPECT_EQ(fg.reserved(), (Amounts {0, 0})); + EXPECT_EQ(fg.unreserved(), (Amounts {2, 10})); + EXPECT_EQ(vec(detail::LedgerAccess::reservation_baseline(fg)), (Amounts {2, 10})); + { + FlowPolicy cost(fg, v({0, 1}), v({2}), cost_only_config()); + (void)cost.place(3); + EXPECT_TRUE(detail::LedgerAccess::reserved(fg).empty()); // carried traffic holds nothing + cost.remove(); + } + const FlowLedger unheld(fg); + { + FlowPolicy p(fg, v({0, 1}), v({2}), t1(2, LOSSY)); + (void)p.replace(12, 12); + EXPECT_EQ(fg.reserved(), (Amounts {0, 6})); + EXPECT_EQ(fg.unreserved(), (Amounts {2, 4})); + EXPECT_EQ(unheld.reserved(), (Amounts {0, 0})); // the copy made before the hold has none + EXPECT_TRUE(detail::LedgerAccess::reserved(unheld).empty()); + p.remove(); + EXPECT_EQ(fg.reserved(), (Amounts {0, 0})); + } + fg.reset(); + EXPECT_TRUE(detail::LedgerAccess::reserved(fg).empty()); + EXPECT_EQ(fg.unreserved(), (Amounts {2, 10})); + FlowLedger given(g, g->capacity_units(), Amounts {1, 7}); + EXPECT_TRUE(detail::LedgerAccess::reserved(given).empty()); + EXPECT_EQ(given.reserved(), (Amounts {0, 0})); + EXPECT_EQ(given.unreserved(), (Amounts {1, 7})); + FlowPolicy q(given, v({1}), v({2}), t1(1)); + (void)q.replace(0, 5); + EXPECT_EQ(given.reserved(), (Amounts {0, 5})); + EXPECT_EQ(given.unreserved(), (Amounts {1, 2})); + expect_balanced(given, "the given baseline"); +} + +// T1's setup reads an absent reservation baseline as the capacities, also when the service +// baseline is smaller: TWOH(2, 10) with residual (1, 4), head 1, N = 1, Lossy replace(6, 6) holds 6 +// (U = 10 - 0), and the same after reset(residual) of a ledger that had a given baseline. +TEST(LedgerProjections, AbsentReservationBaselineIsTheCapacities) { + const auto g = twoh(2, 10); + for (const bool after_reset : {false, true}) { + FlowLedger fg = after_reset ? FlowLedger(g, Amounts {1, 4}, Amounts {1, 3}) : FlowLedger(g, Amounts {1, 4}); + if (after_reset) fg.reset(Amounts {1, 4}); + FlowPolicy p(fg, v({1}), v({2}), t1(1, LOSSY)); + const auto r = p.replace(6, 6); + ASSERT_EQ(r.program->tunnels().size(), 1U); + EXPECT_EQ(r.program->tunnels()[0].status, UP) << after_reset; + EXPECT_EQ(fg.reserved(), (Amounts {0, 6})) << after_reset; + EXPECT_EQ(fg.unreserved(), (Amounts {2, 4})) << after_reset; + expect_balanced(fg, after_reset ? "after reset" : "two-argument ledger"); + p.remove(); + } +} + +// reservation_edge_flows is zeros for a model without holds; an imported T1 +// program books no hold; the bottleneck report reads the service view only. +TEST(LedgerProjections, OutputsImportsAndBottleneck) { + const auto g = twoh(2, 10); + auto c = make(g, {0, 1}, {2}, cost_only_config()); + EXPECT_EQ(*c->place(4, kHolds).reservation_edge_flows, (Amounts {0, 0})); + auto p = make(g, {0, 1}, {2}, t1(2, LOSSY)); + const auto r = p->replace(12, 12); + auto pin = make(g, {0, 1}, {2}, FlowPolicyConfig {.routing = Pinned {r.program, nullptr}, .admission = LOSSY}); + const auto q = pin->replace(12, std::nullopt, kHolds); + EXPECT_EQ(*q.reservation_edge_flows, (Amounts {0, 0})); + EXPECT_EQ(pin.ledger->reserved(), (Amounts {0, 0})); + for (const auto& rec : pin->records()) EXPECT_TRUE(rec.reserved_edges.empty()); + // ONE10 held whole (replace(0, 10): unreserved 0) is not a bottleneck: the residual is 10. + auto h = make(one10(), {0}, {1}, t1(1)); + (void)h->replace(0, 10); + EXPECT_EQ(h.ledger->unreserved(), (Amounts {0})); + EXPECT_TRUE(h.ledger->bottleneck(v({0})).empty()); + EXPECT_EQ(*h->replace(0, 10, OutputOptions {.bottleneck = true}).bottleneck, Edges {}); +} + +// ---------------------------------------------------------------- programs (8.1, 8.4, 8.6) + +// T1's tunnels (the 6.6 call): a down tunnel has no destination, path or cost, weight 0 +// and no hold; an up one holds its request (8.1); requested 3 each. The program's roster is the +// policy's (every head), its sources and destinations the policy's, equal sources. +TEST(TunnelPrograms, T1Fields) { + auto p = make(twoh(2, 10), {0, 1}, {2}, t1(2, LOSSY)); + const auto prog = p->replace(12, 12).program; + ASSERT_EQ(prog->tunnels().size(), 4U); + for (std::size_t i = 0; i < 4; ++i) { + const auto& t = prog->tunnels()[i]; + const bool up = i % 2 == 1; + EXPECT_EQ(t.index, static_cast(i)); + EXPECT_EQ(t.head, static_cast(i % 2)); + EXPECT_EQ(t.local_index, static_cast(i / 2)); + EXPECT_EQ(t.status, up ? UP : NB); + EXPECT_EQ(t.requested, 3); + EXPECT_EQ(t.reserved, up ? 3 : 0); + EXPECT_EQ(t.weight, up ? 1 : 0); + EXPECT_EQ(t.destination, up ? std::optional {2} : std::nullopt); + EXPECT_EQ(t.edges, up ? std::optional {{1}} : std::nullopt); + EXPECT_EQ(t.route_cost, up ? std::optional {1} : std::nullopt); + } + EXPECT_EQ(vec(prog->sources()), v({0, 1})); + EXPECT_EQ(vec(prog->destinations()), v({2})); + EXPECT_FALSE(prog->source_weights().has_value()); + EXPECT_EQ(vec(detail::ProgramAccess::data(*prog).roster), v({0, 1})); + // Two-hop tunnels end at the destination, not at the first link's end: DIAM5, N = 2, D = 10 + // (requests 5, 5; e2 of 4 is filtered out): tunnel 0 takes e0 e3, tunnel 1 e1 e4, both cost 4. + auto d = make(diam5(), {0}, {3}, t1(2)); + const auto two = d->replace(10, 10).program; + EXPECT_EQ(routes(*two), (std::vector {{0, 3}, {1, 4}})); + for (const auto& t : two->tunnels()) { + EXPECT_EQ(t.destination, std::optional {3}); + EXPECT_EQ(t.route_cost, std::optional {4}); + } +} + +// Pinned over an imported T1 program books no holds, so it never reports a reservation change: +// the first evaluate, replace and place over an up program (requested and reserved 6) and over an +// all-down one with a positive request (20 on one link of 10) leave the ledger's and the records' +// holds empty, and the installed program keeps the imported amounts as data. +TEST(TunnelPrograms, PinnedOverT1ReservesNothing) { + const auto g = one10(); + auto u = make(g, {0}, {1}, t1(1)); + const auto up = u->replace(0, 6).program; + auto d = make(g, {0}, {1}, t1(1)); + const auto down = d->replace(0, 20).program; + ASSERT_EQ(statuses(*up), (std::vector {UP})); + ASSERT_EQ(statuses(*down), (std::vector {NB})); + EXPECT_EQ(up->tunnels()[0].reserved, 6); + EXPECT_EQ(down->tunnels()[0].requested, 20); + for (const auto& prog : {up, down}) { + for (int op = 0; op < 3; ++op) { + auto p = make(g, {0}, {1}, FlowPolicyConfig {.routing = Pinned {prog, nullptr}}); + const auto r = op == 0 ? p->evaluate(1) : op == 1 ? p->replace(1) : p->place(1); + EXPECT_FALSE(r.reservations_changed) << op; + EXPECT_FALSE(r.plan.has_value()) << op; + EXPECT_EQ(r.program->tunnels()[0].requested, prog->tunnels()[0].requested) << op; + EXPECT_EQ(r.program->tunnels()[0].reserved, prog->tunnels()[0].reserved) << op; + EXPECT_EQ(p.ledger->reserved(), (Amounts {0})) << op; + for (const auto& rec : p->records()) EXPECT_TRUE(rec.reserved_edges.empty()) << op; + } + } +} + +// The builder alone (no forwarding runs): an up tunnel has weight 1, a down one weight 0 and no +// path, so a call never forwards a share onto a tunnel without a path. +TEST(TunnelPrograms, BuilderWeighsOnlyUpTunnels) { + const auto g = twoh(2, 10); + const std::vector heads {0, 1}, dests {2}; + std::vector setup(2); + setup[0] = {.slot = 0, .round = 0, .requested = 3, .status = NB}; + setup[1] = {.slot = 1, .round = 0, .requested = 3, .status = UP, .edges = {1}, .cost = 1}; + const auto prog = detail::tunnel_program(*g, heads, dests, heads, std::move(setup), {}, {}); + ASSERT_EQ(prog->tunnels().size(), 2U); + EXPECT_EQ(prog->tunnels()[0].weight, 0); + EXPECT_EQ(prog->tunnels()[0].edges, std::nullopt); + EXPECT_EQ(prog->tunnels()[1].weight, 1); + EXPECT_EQ(prog->tunnels()[1].edges, std::optional {{1}}); +} + +// Pinned over T1's program on PAR612 (N = 4, replace(13, 12)) with e0 masked: tunnels 0 and 1 +// FAILED; the head splits RR(13, 2) = (7, 6) over tunnels 2 and 3 on e1 (capacity 6): H(6, [7, 6]) +// = (3, 3) carried, 6 delivered, 7 dropped; Lossless admits 6. +TEST(TunnelPrograms, T1Replay) { + const auto g = par612(); + auto p = make(g, {0}, {1}, t1(4, LOSSY)); + const auto prog = p->replace(13, 12).program; + const auto mask = g->eligibility({}, std::vector {0}); + auto ly = make(g, {0}, {1}, FlowPolicyConfig {.routing = Pinned {prog, nullptr}, .admission = LOSSY}, &mask); + const auto r = ly->replace(13); + EXPECT_EQ(rows(r), (Rows {{0, 0, FAILED, 0, 0, 0}, {1, 0, FAILED, 0, 0, 0}, {2, 0, UP, 7, 3, 4}, {3, 0, UP, 6, 3, 3}})); + EXPECT_EQ(r.placed, 6); + EXPECT_EQ(r.call_drops, (Pairs {{1, 7}})); + auto ll = make(g, {0}, {1}, FlowPolicyConfig {.routing = Pinned {prog, nullptr}}, &mask); + EXPECT_EQ(ll->replace(13).placed, 6); + // The replay roster comes from the topology basis, not from the surviving tunnels: REPLAY, N = 1, + // D = 10: head 0's tunnel e0 fails, but head 0 + // still reaches node 2 over the topology (e1, e3): it keeps its share 5 and loses it; head 1 + // delivers its 5. + const auto rg = ordered(4, {{0, 2, 10, 1}, {0, 3, 10, 5}, {1, 2, 10, 1}, {3, 2, 10, 5}}); + auto t = make(rg, {0, 1}, {2}, t1(1, LOSSY)); + const auto rp = t->replace(10, 10).program; + EXPECT_EQ(routes(*rp), (std::vector {{0}, {2}})); + const auto m0 = rg->eligibility({}, std::vector {0}); + auto replay = make(rg, {0, 1}, {2}, FlowPolicyConfig {.routing = Pinned {rp, nullptr}, .admission = LOSSY}, &m0); + const auto x = replay->replace(10); + EXPECT_EQ(x.placed, 5); + EXPECT_EQ(x.call_source_loss, 5); + EXPECT_EQ(source_rows(x), (std::vector {{0, 5, 5, 0, 5, 0}, {1, 5, 5, 5, 0, 0}})); + EXPECT_EQ(x.termination, Termination::Complete); +} + +// DIAM5's design-10 program (tunnels 0 -> 1 -> 3 and 0 -> 2 -> 3) with node 2 as a black +// hole: Lossy replace(10): 5 and 5 assigned, the second tunnel BLACKHOLED with its 5 dropped on e1 +// (the link entering node 2), 5 delivered; Lossless admits 1. The live T1's forward(10, +// black_holes) gives the same and keeps its holds and its program's statuses. +TEST(TunnelPrograms, T1Stale) { + const auto g = diam5(); + auto p = make(g, {0}, {3}, t1(2, LOSSY)); + const auto prog = p->replace(10, 10).program; + const auto dark = std::make_shared(g->eligibility(std::vector {2}, {})); + auto ly = make(g, {0}, {3}, FlowPolicyConfig {.routing = Pinned {prog, dark}, .admission = LOSSY}); + const auto r = ly->replace(10); + EXPECT_EQ(rows(r), (Rows {{0, 0, UP, 5, 5, 0}, {1, 0, BLACKHOLED, 5, 0, 5}})); + EXPECT_EQ(r.call_drops, (Pairs {{1, 5}})); + EXPECT_EQ(r.placed, 5); + auto ll = make(g, {0}, {3}, FlowPolicyConfig {.routing = Pinned {prog, dark}}); + EXPECT_EQ(ll->replace(10).placed, 1); + const auto holds_before = p.ledger->reserved(); + const auto f = p->forward(10, dark.get()); + EXPECT_EQ(rows(f), rows(r)); + EXPECT_EQ(f.placed, 5); + EXPECT_EQ(p.ledger->reserved(), holds_before); + EXPECT_EQ(statuses(*p->program()), (std::vector {UP, UP})); +} + +// Pinned over the 6.6 program forwards like the live T1 (3.4): 6 +// delivered, head 0's 6 lost at the head; the setup-down tunnels keep their status in by_tunnel; +// no plan, no hold. +TEST(TunnelPrograms, T1DownTunnels) { + const auto g = twoh(2, 10); + auto p = make(g, {0, 1}, {2}, t1(2, LOSSY)); + const auto live = p->replace(12, 12); + auto pin = make(g, {0, 1}, {2}, FlowPolicyConfig {.routing = Pinned {live.program, nullptr}, .admission = LOSSY}); + const auto r = pin->replace(12); + EXPECT_EQ(r.placed, 6); + EXPECT_EQ(r.call_source_loss, 6); + EXPECT_EQ(rows(r), rows(live)); + EXPECT_FALSE(r.plan.has_value()); + EXPECT_EQ(pin.ledger->reserved(), (Amounts {0, 0})); + EXPECT_EQ(r.termination, Termination::Complete); + // A replay never brings a down tunnel up: Pinned over the diamond's all-down program (design 14) with a mask + // that leaves every path: still NB, NB; Lossy loses the offer at the head (not rule (3)). + const auto dg = diam5(); + auto d = make(dg, {0}, {3}, t1(2, LOSSY)); + const auto down = d->replace(5, 14).program; + const auto mask = dg->eligibility({}, std::vector {2}); + auto replay = make(dg, {0}, {3}, FlowPolicyConfig {.routing = Pinned {down, nullptr}, .admission = LOSSY}, &mask); + const auto x = replay->replace(5); + EXPECT_EQ(rows(x), (Rows {{0, 0, NB, 0, 0, 0}, {1, 0, NB, 0, 0, 0}})); + EXPECT_EQ(x.termination, Termination::Complete); + EXPECT_EQ(x.call_source_loss, 5); +} + +// The other producers' tunnels carry the new fields' plain values: status UP, requested +// and reserved 0, a destination, a path and a cost. +TEST(TunnelPrograms, OtherProducersFields) { + const auto g = ordered(3, {{0, 2, 2, 1}, {1, 2, 10, 1}}); + auto gl = make(g, {0, 1}, {2}, global_config()); + for (const auto& t : gl->place(12).program->tunnels()) { + EXPECT_EQ(t.status, UP); + EXPECT_EQ(t.requested, 0); + EXPECT_EQ(t.reserved, 0); + EXPECT_TRUE(t.destination.has_value() && t.edges.has_value() && t.route_cost.has_value()); + } + const auto supplied = pinned_paths(*g, {0, 1}, {2}, {{0, {0}, 1}, {1, {1}, 0}}); + for (const auto& t : supplied.program->tunnels()) { + EXPECT_EQ(t.status, UP); + EXPECT_EQ(t.requested, 0); + EXPECT_EQ(t.reserved, 0); + EXPECT_EQ(t.destination, std::optional {2}); + } +} + +// ---------------------------------------------------------------- zero offers and everything masked (E) + +// The 6.6 policy with zero offers: replace(0, 12) programs the tunnels and books the +// holds, four zero records; evaluate(0, 12) the same without publishing; forward(0) keeps program +// and holds, recreates the records (new ids), sets no flag. Both admissions; every call Complete. +TEST(TunnelZero, T1) { + for (const auto a : {LOSSLESS, LOSSY}) { + auto p = make(twoh(2, 10), {0, 1}, {2}, t1(2, a)); + const auto r = p->replace(0, 12); + EXPECT_EQ(r.termination, Termination::Complete); + EXPECT_EQ(r.placed, 0); + EXPECT_EQ(statuses(*r.program), (std::vector {NB, UP, NB, UP})); + EXPECT_EQ(p.ledger->reserved(), (Amounts {0, 6})); + EXPECT_EQ(entries(p->records()), (std::vector> {0, 1, 2, 3})); + for (const auto& rec : p->records()) EXPECT_EQ(rec.delivered, 0); + const auto state = ledger_state(*p.ledger); + const auto e = p->evaluate(0, 12); + EXPECT_EQ(e.termination, Termination::Complete); + EXPECT_EQ(statuses(*e.program), (std::vector {NB, UP, NB, UP})); + expect_same(ledger_state(*p.ledger), state, "evaluate(0, 12)"); + const auto before = p->records(); + const auto f = p->forward(0); + EXPECT_EQ(f.termination, Termination::Complete); + EXPECT_FALSE(f.routes_changed || f.weights_changed || f.reservations_changed); + EXPECT_EQ(f.program, r.program); + EXPECT_EQ(p.ledger->reserved(), (Amounts {0, 6})); + // The records are retired and recreated: the same entries and holds under new ids. + const auto after = p->records(); + EXPECT_EQ(entries(after), entries(before)); + EXPECT_EQ(holds(after), holds(before)); + for (const auto& rec : after) { + EXPECT_TRUE(std::none_of(before.begin(), before.end(), [&](const FlowRecord& b) { return b.flow_id == rec.flow_id; })); + } + } +} + +// DIAM5 all down at D = 14: replace(0, 14) Complete; replace(5, 14) Lossy Complete, Lossless +// Exhausted; two zero records (entries 0 and 1) every time; forward(0) Complete. +TEST(TunnelZero, T1AllDown) { + for (const auto a : {LOSSLESS, LOSSY}) { + auto p = make(diam5(), {0}, {3}, t1(2, a)); + EXPECT_EQ(p->replace(0, 14).termination, Termination::Complete); + EXPECT_EQ(entries(p->records()), (std::vector> {0, 1})); + const auto r = p->replace(5, 14); + EXPECT_EQ(r.termination, a == LOSSY ? Termination::Complete : Termination::Exhausted); + EXPECT_EQ(entries(p->records()), (std::vector> {0, 1})); + EXPECT_EQ(p->forward(0).termination, Termination::Complete); + EXPECT_EQ(p->records().size(), 2U); + } +} + +// TWOH(10, 10) with every edge masked: an empty roster: replace(5, 5) NO_ROUTE, then +// replace(0, 5) Complete; the empty program; no record. +TEST(TunnelZero, T1AllMasked) { + const auto g = twoh(10, 10); + const auto mask = g->eligibility({}, std::vector {0, 1}); + auto p = make(g, {0, 1}, {2}, t1(2), &mask); + const auto r = p->replace(5, 5); + EXPECT_EQ(r.termination, Termination::NoRoute); + EXPECT_TRUE(r.program->tunnels().empty()); + EXPECT_EQ(p->replace(0, 5).termination, Termination::Complete); + EXPECT_TRUE(p->records().empty()); +} + +// Pinned over the 6.6 program. With e1 masked, tunnels 1 and 3 fail and head +// 1 cannot reach node 2 (it leaves the replay roster); head 0 still can, over e0, but has no up +// tunnel: it keeps the whole 12 and loses it. The program has up tunnels and no head can use one: +// rule (3), NO_ACTIVE_WEIGHT in both admissions; replace(0) is Complete; four zero records. With +// nodes 0 and 1 masked the replay roster is empty: NO_ROUTE, then Complete, four records still. +TEST(TunnelZero, PinnedT1AllFailedOrNoRoster) { + const auto g = twoh(2, 10); + auto p = make(g, {0, 1}, {2}, t1(2, LOSSY)); + const auto prog = p->replace(12, 12).program; + const auto no_e1 = g->eligibility({}, std::vector {1}); + const auto no_heads = g->eligibility(std::vector {0, 1}, {}); + for (const auto a : {LOSSLESS, LOSSY}) { + auto pin = make(g, {0, 1}, {2}, FlowPolicyConfig {.routing = Pinned {prog, nullptr}, .admission = a}, &no_e1); + const auto r = pin->replace(12); + EXPECT_EQ(r.termination, Termination::NoActiveWeight); + if (a == LOSSY) { + EXPECT_EQ(r.call_source_loss, 12); + EXPECT_EQ(source_rows(r), (std::vector {{0, 12, 12, 0, 12, 0}, {1, 0, 0, 0, 0, 0}})); + } + EXPECT_EQ(rows(r), (Rows {{0, 0, NB, 0, 0, 0}, {1, 1, FAILED, 0, 0, 0}, {2, 0, NB, 0, 0, 0}, {3, 1, FAILED, 0, 0, 0}})); + EXPECT_EQ(pin->replace(0).termination, Termination::Complete); + EXPECT_EQ(entries(pin->records()), (std::vector> {0, 1, 2, 3})); + auto none = make(g, {0, 1}, {2}, FlowPolicyConfig {.routing = Pinned {prog, nullptr}, .admission = a}, &no_heads); + EXPECT_EQ(none->replace(12).termination, Termination::NoRoute); + EXPECT_EQ(none->replace(0).termination, Termination::Complete); + EXPECT_EQ(none->records().size(), 4U); + } +} + +// ---------------------------------------------------------------- evaluators (12) + +// Capacity of T1 is the lossless bound of the tunnels set up for the design +// (required and finite); Lossy forwards `offered` (required and finite); the other models reject a +// design; batch_capacity shares nothing between pairs. +TEST(TunnelEvaluators, T1Capacity) { + const auto g = par612(); + QueryOptions q {t1(4)}; + q.design_demand = Amount {12}; + EXPECT_EQ(capacity(*g, v({0}), v({1}), q).placed, 12); + QueryOptions ly {t1(4, LOSSY)}; + ly.design_demand = Amount {12}; + ly.offered = Amount {13}; + const auto r = capacity(*g, v({0}), v({1}), ly); + EXPECT_EQ(r.placed, 12); + EXPECT_EQ(r.call_drops, (Pairs {{0, 1}})); + ASSERT_TRUE(r.plan.has_value()); + EXPECT_EQ(r.plan->reserved_total, 12); + auto err = [&](const QueryOptions& o) { return error_of([&] { (void)capacity(*g, v({0}), v({1}), o); }); }; + for (const auto a : {LOSSLESS, LOSSY}) EXPECT_EQ(err(QueryOptions {t1(4, a)}), "T1 capacity requires design_demand"); + QueryOptions inf {t1(4)}; + inf.design_demand = std::optional {}; + EXPECT_EQ(err(inf), "T1 requires a finite design demand"); + QueryOptions no_offer {t1(4, LOSSY)}; + no_offer.design_demand = Amount {12}; + EXPECT_EQ(err(no_offer), "T1 LOSSY capacity requires finite offered"); + no_offer.offered = std::optional {}; + EXPECT_EQ(err(no_offer), "T1 LOSSY capacity requires finite offered"); + QueryOptions with_offer {t1(4)}; + with_offer.design_demand = Amount {12}; + with_offer.offered = Amount {5}; + EXPECT_EQ(err(with_offer), "T1 LOSSLESS capacity does not accept offered"); + QueryOptions bad {t1(4)}; + bad.design_demand = Amount {-1}; + EXPECT_EQ(err(bad), "design_demand must be an integer in [0, 2^62) or permitted +inf"); + // The domain of offered comes first. + bad.offered = kL62; + EXPECT_EQ(err(bad), "offered must be an integer in [0, 2^62) or permitted +inf"); + for (const auto& c : {cost_only_config(), global_config()}) { + QueryOptions o {c}; + o.design_demand = Amount {5}; + EXPECT_EQ(err(o), std::string(detail::model_name(c.routing)) + " does not accept design_demand"); + const std::vector, std::vector>> pairs = {{v({0}), v({1})}}; + EXPECT_EQ(error_of([&] { (void)batch_capacity(*g, pairs, o, {}, 1); }), + std::string(detail::model_name(c.routing)) + " does not accept design_demand"); + } + QueryOptions pin {FlowPolicyConfig {.routing = pinned_paths(*g, {0}, {1}, {{0, {0}, 1}})}}; + pin.design_demand = Amount {5}; + EXPECT_EQ(err(pin), "Pinned does not accept design_demand"); + // Each pair sets up on a fresh ledger: ONE10, N = 1, design 6, twice the same pair: 10 and 10. + const auto one = one10(); + QueryOptions b {t1(1)}; + b.design_demand = Amount {6}; + const std::vector, std::vector>> pairs = {{v({0}), v({1})}, {v({0}), v({1})}}; + for (const std::int32_t workers : {1, 2}) { + const auto rs = batch_capacity(*one, pairs, b, {}, workers); + ASSERT_EQ(rs.size(), 2U); + EXPECT_EQ(rs[0].placed, 10); + EXPECT_EQ(rs[1].placed, 10); + } +} + +// sensitivity(X8, [0, 1], 2, T1 N = 1, design 4): baseline 0 +// (head 0 is down and first); deleting e0 takes head 0 out of the roster and head 1's tunnel carries +// 8: loss -8; deleting e1: 0. Every allowed link is a candidate (no shortcut), here an edge outside +// every route too. +TEST(TunnelEvaluators, T1Sensitivity) { + QueryOptions q {t1(1)}; + q.design_demand = Amount {4}; + for (const std::int32_t workers : {1, 2}) { + const auto s = sensitivity(*x8(), v({0, 1}), v({2}), q, workers); + EXPECT_EQ(s.baseline.placed, 0); + std::vector> got; + for (const auto& e : s.entries) got.emplace_back(e.edge, e.loss); + EXPECT_EQ(got, (std::vector> {{0, -8}, {1, 0}})); + } + const auto g = ordered(3, {{0, 1, 6, 1}, {0, 1, 6, 2}, {2, 0, 5, 1}}); + QueryOptions all {t1(4)}; + all.design_demand = Amount {12}; + const auto s = sensitivity(*g, v({0}), v({1}), all, 1); + std::vector> got; + for (const auto& e : s.entries) got.emplace_back(e.edge, e.loss); + // Deleting e0: the four tunnels set up on e1 alone (two fit: 6 of 3 + 3), the bound 6. + EXPECT_EQ(got, (std::vector> {{0, 6}, {1, 6}, {2, 0}})); + // A zero offered (Lossy) is Complete and every loss is 0. + QueryOptions zero {t1(1, LOSSY)}; + zero.design_demand = Amount {4}; + zero.offered = Amount {0}; + const auto c0 = capacity(*x8(), v({0, 1}), v({2}), zero); + EXPECT_EQ(c0.termination, Termination::Complete); + EXPECT_EQ(c0.placed, 0); + for (const auto& e : sensitivity(*x8(), v({0, 1}), v({2}), zero, 1).entries) EXPECT_EQ(e.loss, 0); + // An Eligibility that excludes every edge: an empty roster, NO_ROUTE, placed 0. + const auto gm = x8(); + const auto mask = gm->eligibility({}, std::vector {0, 1}); + const auto none = capacity(*gm, v({0, 1}), v({2}), QueryOptions {t1(1), &mask, nullptr, {}, Amount {4}}); + EXPECT_EQ(none.termination, Termination::NoRoute); + EXPECT_EQ(none.placed, 0); +} + +// ---------------------------------------------------------------- validation (V) + +// T1's row of the matrix and its own parameters. +TEST(TunnelValidation, T1Matrix) { + const auto g = one10(); + FlowLedger fg(g); + auto rejects = [&](const FlowPolicyConfig& c, const std::string& text, DagCache* cache = nullptr) { + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), c, nullptr, cache); }), text); + EXPECT_TRUE(detail::LedgerAccess::bound_owners(fg).empty()); + }; + rejects(t1(2, LOSSLESS, std::nullopt, 0, PathSelection(DET, EdgePriority::Capacity, true)), "T1 requires multipath=False"); + for (const std::optional mp : {std::optional {}, std::optional {false}}) { + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), t1(2, LOSSLESS, std::nullopt, 0, PathSelection(DET, EdgePriority::Capacity, mp))); }), ""); + } + { + FlowPolicy p(fg, v({0}), v({1}), t1(2)); + EXPECT_TRUE(p.config().selection == PathSelection()); + EXPECT_FALSE(p.config().selection->multipath.has_value()); + } + rejects({.routing = CapacityAware {Tunnels {2}}, .weights = WeightBasis::Capacity}, "T1 does not accept weights"); + rejects({.routing = CapacityAware {Tunnels {2}}, .edge_weights = std::make_shared>(Amounts {1})}, + "T1 does not accept edge_weights"); + DagCache cache(*g); + rejects(t1(2), "T1 does not use DagCache", &cache); + rejects({.routing = CapacityAware {Tunnels {2, true}}}, "T1 requires an exact tunnel count"); + for (const std::int64_t n : {std::int64_t {0}, std::int64_t {10001}, std::int64_t {-1}}) rejects(t1(n), "tunnel count must be in [1, 10000]"); + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), t1(10000)); }), ""); + rejects({.routing = CapacityAware {Tunnels {1}}, .origin = Origin::Optimized}, "T1 requires origin=EQUAL"); + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), t1(2, LOSSY)); }), ""); +} + +// The tunnel limit counts the roster's heads (after the mask) times the count: +// FAN(107375) with N = 10000 is above 2^30 - 1; FAN(107374), FAN(112871) with N = 9513 (exactly +// 2^30 - 1: the limit is inclusive) and FAN(107375) with head 0 masked construct (no tunnel is +// made at construction). +TEST(TunnelValidation, TunnelLimit) { + const auto fan = [](std::int32_t h) { + std::vector rows; + rows.reserve(static_cast(h)); + for (std::int32_t i = 0; i < h; ++i) rows.push_back({i, h, 1, 1}); + return shared(make_graph(h + 1, rows)); + }; + const auto heads = [](std::int32_t h) { + std::vector out(static_cast(h)); + for (std::int32_t i = 0; i < h; ++i) out[static_cast(i)] = i; + return out; + }; + const auto big = fan(107375); + FlowLedger fg(big); + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, heads(107375), v({107375}), t1(10000)); }), + "tunnel limit exceeded: 107375 heads x 10000 tunnels > 1073741823"); + const auto mask = big->eligibility(std::vector {0}, {}); + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, heads(107375), v({107375}), t1(10000), &mask); }), ""); + const auto ok = fan(107374); + FlowLedger fo(ok); + EXPECT_EQ(error_of([&] { FlowPolicy p(fo, heads(107374), v({107374}), t1(10000)); }), ""); + // Exactly at the limit (inclusive): FAN(112871) with N = 9513 is 112871 x 9513 = 2^30 - 1 tunnels. + const auto edge = fan(112871); + FlowLedger fe(edge); + EXPECT_EQ(error_of([&] { FlowPolicy p(fe, heads(112871), v({112871}), t1(9513)); }), ""); + // The limit at an evaluator, per pair. + QueryOptions q {t1(10000)}; + q.design_demand = Amount {1}; + EXPECT_EQ(error_of([&] { (void)capacity(*big, heads(107375), v({107375}), q); }), + "tunnel limit exceeded: 107375 heads x 10000 tunnels > 1073741823"); +} + +// ---------------------------------------------------------------- numeric ranges (W) + +// ONEMAX (one link of 2^62 - 1): one tunnel holds 2^62 - 1 and carries it; two +// owners near the baseline: A holds 2^61, B's request of 2^61 sees U = 2^61 - 1 (NB); the commit's +// sum of holds stays below 2^63. +TEST(TunnelRanges, OneMaxAndHoldsNearTheBaseline) { + const Amount max = kL62 - 1; + const auto g = ordered(2, {{0, 1, max, 1}}); + auto p = make(g, {0}, {1}, t1(1, LOSSY)); + const auto r = p->replace(max, max, kHolds); + EXPECT_EQ(statuses(*r.program), (std::vector {UP})); + EXPECT_EQ(r.plan->reserved_total, max); + EXPECT_EQ(p.ledger->reserved(), (Amounts {max})); + EXPECT_EQ(p.ledger->unreserved(), (Amounts {0})); + EXPECT_EQ(r.placed, max); + auto ll = make(g, {0}, {1}, t1(1)); + EXPECT_EQ(ll->replace(INF, max).placed, max); + auto ledger = std::make_shared(g); + auto a = make(g, {0}, {1}, t1(1), nullptr, ledger); + auto b = make(g, {0}, {1}, t1(1), nullptr, ledger); + const Amount half = Amount {1} << 61; + EXPECT_EQ(statuses(*a->replace(half, half).program), (std::vector {UP})); + EXPECT_EQ(statuses(*b->replace(half, half).program), (std::vector {NB})); + EXPECT_EQ(ledger->unreserved(), (Amounts {half - 1})); + expect_balanced(*ledger, "near the baseline"); +} + +// FAN4MAX (four heads, private links of 2^60 - 1), N = 10000, Lossless replace(2^62 - 4, +// 2^62 - 4): 40000 tunnels, all up; each head's share 2^60 - 1 splits as 6975 requests of +// 115292150460685 and 3025 of 115292150460684, which fill each link exactly; reserved_total 2^62 - +// 4; the whole design is carried (6.5: every tunnel up and U <= V). +TEST(TunnelRanges, ManyTunnels) { + const Amount cap = (Amount {1} << 60) - 1; + const auto g = ordered(5, {{0, 4, cap, 1}, {1, 4, cap, 1}, {2, 4, cap, 1}, {3, 4, cap, 1}}); + auto p = make(g, {0, 1, 2, 3}, {4}, t1(10000)); + const Amount D = kL62 - 4; + const auto r = p->replace(D, D); + ASSERT_EQ(r.program->tunnels().size(), 40000U); + std::map counts; + for (const auto& t : r.program->tunnels()) { + EXPECT_EQ(t.status, UP); + ++counts[t.requested]; + } + EXPECT_EQ(counts, (std::map {{115292150460684, 4 * 3025}, {115292150460685, 4 * 6975}})); + EXPECT_EQ(r.plan->reserved_total, D); + EXPECT_EQ(p.ledger->reserved(), (Amounts {cap, cap, cap, cap})); + EXPECT_EQ(r.placed, D); + EXPECT_EQ(r.termination, Termination::Complete); +} + +// ---------------------------------------------------------------- property + +// The reference's exact Stretch comparison where a careless product overflows: factors far above +// 2^63 with a large or a zero baseline, the shortcut's boundary (f = 2^62 is computed, f = 2^63 +// is above every cost), a factor just above 1 on a baseline near 2^62 and a fractional factor at +// equality. The library's comparison (baseline >= 1, as costs are positive) gives the same. +TEST(T1Reference, StretchComparisonIsExact) { + using t1_reference::stretch_admits; + constexpr Cost kMax = std::numeric_limits::max(); + constexpr Cost p62 = Cost {1} << 62; + struct Case { + Cost cost, base; + double f; + bool admits; + }; + const std::vector cases { + {Cost {1} << 60, Cost {1} << 60, std::ldexp(1.0, 80), true}, // 2^60 <= 2^140 + {kMax, Cost {1} << 60, std::ldexp(1.0, 120), true}, + {kMax, 1, std::ldexp(1.0, 63), true}, // 2^63 - 1 < 2^63 + {p62, 1, std::ldexp(1.0, 62), true}, // equality + {p62 + 1, 1, std::ldexp(1.0, 62), false}, + {kMax, p62, std::ldexp(1.0, 40), true}, + {kMax, Cost {1} << 22, std::ldexp(1.0, 40), false}, // 2^62 < 2^63 - 1 + {p62 + 1022, p62 - 1, 1.0 + std::ldexp(1.0, -52), true}, // f * base = 2^62 + 1023 - 2^-52 + {p62 + 1023, p62 - 1, 1.0 + std::ldexp(1.0, -52), false}, + {3, 2, 1.5, true}, + {4, 2, 1.5, false}, + }; + for (const auto& c : cases) { + EXPECT_EQ(stretch_admits(c.cost, c.base, c.f), c.admits) << c.cost << " " << c.base << " " << c.f; + EXPECT_EQ(detail::stretch_le(c.cost, c.base, c.f), c.admits) << c.cost << " " << c.base << " " << c.f; + } + // A zero baseline admits only a zero cost, whatever the factor (the reference only). + EXPECT_TRUE(stretch_admits(0, 0, std::ldexp(1.0, 120))); + EXPECT_FALSE(stretch_admits(1, 0, std::ldexp(1.0, 120))); + EXPECT_FALSE(stretch_admits(1, 0, std::ldexp(1.0, 30))); +} + +// Random small graphs (costs 1 to 4, capacities 0 to 6, one or two heads and +// destinations, a node or edge mask, every selection field T1 reads, the three ceilings, a search +// minimum, preloaded service and reservation baselines, another owner's holds and another owner's +// carried load) against t1_reference (test_utils.hpp): the roster, every tunnel's request, status +// and path, the holds per edge (the up requests, within the reservation baseline), the lossless +// bound on the service view; the setup does not depend on the offer; when every tunnel is up and U +// <= V on every link, D itself is admitted (6.5); Lossy accounting and per-record conservation. +TEST(T1Property, SetupAndBoundAgainstTheReference) { + std::mt19937 rng(20261018); + auto below = [&](int k) { return static_cast(rng() % static_cast(k)); }; + int up = 0, nb = 0, cc = 0, bounded = 0, design_carried = 0, dropped = 0, preferred = 0, collapsed = 0, held = 0; + for (int trial = 0; trial < 700; ++trial) { + const int n = 4 + below(3); + const int m = 3 + below(10); + std::vector rows; + for (int i = 0; i < m; ++i) { + const NodeId u = below(n); + NodeId w = below(n - 1); + if (w >= u) ++w; + rows.push_back({u, w, static_cast(below(7)), static_cast(1 + below(4))}); + } + const auto g = shared(make_graph(n, rows)); + std::vector src = {0}; + std::vector dst = {n - 1}; + if (below(2) == 0) src.push_back(1); + if (below(2) == 0) dst.insert(dst.begin(), n - 2); + std::optional mask; + switch (below(4)) { + case 0: mask = g->eligibility(std::vector {static_cast(below(n))}, {}); break; + case 1: mask = g->eligibility({}, std::vector {static_cast(below(m))}); break; + default: break; + } + const Eligibility* elig = mask ? &*mask : nullptr; + const t1_reference::Selection rs {below(2) == 0, std::vector {EdgePriority::Residual, EdgePriority::Capacity, + EdgePriority::Headroom}[static_cast(below(3))], + below(3) != 0}; + std::optional ceiling; + switch (below(5)) { + case 0: ceiling = Absolute {1 + below(8)}; break; + case 1: ceiling = Stretch {std::vector {1.0, 1.2, 1.5, 2.0}[static_cast(below(4))]}; break; + default: break; + } + const Amount minimum = below(4) == 0 ? below(3) : 0; + const std::int64_t N = 1 + below(3); + const Amount D = below(13); + const auto selection = PathSelection(rs.prefer ? PHP : DET, rs.priority, std::nullopt, rs.multi_edge); + std::vector service(g->capacity_units().begin(), g->capacity_units().end()); + std::vector reservation = service; + if (below(2) == 0) { + for (auto& x : service) x = x == 0 ? 0 : below(static_cast(x) + 1); + } + if (below(2) == 0) { + for (auto& x : reservation) x = x == 0 ? 0 : below(static_cast(x) + 1); + } + const bool other_holds = below(3) == 0; + const bool other_load = below(3) == 0; + const Amount other_d = below(6); + // One scenario: the baselines and the other owners, then the policy under test. + struct Scenario { + std::shared_ptr ledger; + std::unique_ptr holds, load, p; + }; + auto build = [&](Admission a) { + Scenario s; + s.ledger = std::make_shared(g, service, reservation); + if (other_holds) { + s.holds = std::make_unique(*s.ledger, src, dst, t1(1)); + (void)s.holds->replace(0, other_d); + } + if (other_load) { + s.load = std::make_unique(*s.ledger, src, dst, cost_only_config()); + (void)s.load->place(other_d); + } + s.p = std::make_unique(*s.ledger, src, dst, t1(N, a, ceiling, minimum, selection), elig); + return s; + }; + const std::string where = "trial " + std::to_string(trial); + auto s = build(LOSSLESS); + const auto U = s.ledger->unreserved(); + const auto V = s.ledger->residual(); + const auto R0 = detail::LedgerAccess::reservation_baseline(*s.ledger); + const auto held_before = s.ledger->reserved(); + std::vector dests_ok; + for (NodeId d : dst) { + if (elig == nullptr || elig->node_ok(d)) dests_ok.push_back(d); + } + const auto heads = t1_reference::roster(*g, elig, src, dests_ok); + if (heads.empty()) continue; + const auto want = t1_reference::setup(*g, elig, heads, dests_ok, rs, ceiling, minimum, D, N, U); + const auto r = s.p->replace(INF, D); + ASSERT_EQ(vec(detail::ProgramAccess::data(*r.program).roster), heads) << where; + ASSERT_EQ(r.program->tunnels().size(), want.size()) << where; + std::vector sum(U.size(), 0); + bool all_up = true; + for (std::size_t i = 0; i < want.size(); ++i) { + const auto& t = r.program->tunnels()[i]; + EXPECT_EQ(t.head, want[i].head) << where << " tunnel " << i; + EXPECT_EQ(t.requested, want[i].request) << where << " tunnel " << i; + EXPECT_EQ(t.status, want[i].status) << where << " tunnel " << i; + EXPECT_EQ(t.edges.value_or(Edges {}), want[i].path) << where << " tunnel " << i; + if (t.status == UP) { + ++up; + for (EdgeId e : *t.edges) { + sum[static_cast(e)] += t.requested; + EXPECT_GE(U[static_cast(e)], std::max(t.requested, minimum)) << where; // it passed its filter + } + } else { + all_up = false; + ++(t.status == NB ? nb : cc); + } + } + const auto held_after = s.ledger->reserved(); + for (std::size_t e = 0; e < sum.size(); ++e) { + EXPECT_EQ(held_after[e], held_before[e] + sum[e]) << where << " edge " << e; + EXPECT_LE(held_after[e], R0[e]) << where << " edge " << e; + held += sum[e] > 0 ? 1 : 0; + } + expect_balanced(*s.ledger, where); + const Amount bound = t1_reference::lossless_bound(heads.size(), want, V); + EXPECT_EQ(r.placed, bound) << where; + bounded += bound > 0 ? 1 : 0; + // The setup does not depend on the offer (evaluate releases the policy's own holds). + const auto e = s.p->evaluate(below(9), D); + EXPECT_EQ(routes(*e.program), routes(*r.program)) << where; + EXPECT_EQ(statuses(*e.program), statuses(*r.program)) << where; + // 6.5: every tunnel up and U <= V on every link: D is carried without loss. + bool covered = all_up; + for (std::size_t x = 0; covered && x < U.size(); ++x) covered = U[x] <= V[x]; + if (covered) { + EXPECT_EQ(s.p->evaluate(D, D).placed, D) << where; + ++design_carried; + } + preferred += rs.prefer ? 1 : 0; + collapsed += rs.multi_edge ? 0 : 1; + // Lossy: the same setup; the accounting and every record's conservation. + auto ly = build(LOSSY); + const Amount offer = below(15); + const auto lr = ly.p->replace(offer, D); + EXPECT_EQ(routes(*lr.program), routes(*r.program)) << where; + Amount drops = 0; + for (const auto& [x, d] : lr.drops) drops += lo(d); + EXPECT_EQ(lo(lr.offered), offer) << where; + EXPECT_EQ(lo(lr.source_loss) + drops + lr.delivered, offer) << where; + dropped += drops > 0 ? 1 : 0; + for (const auto& rec : ly.p->records()) (void)expect_conserved(*g, rec, where); + expect_balanced(*ly.ledger, where); + ASSERT_FALSE(::testing::Test::HasFailure()) << where; + } + // Not vacuous. + EXPECT_GT(up, 300); + EXPECT_GT(nb, 100); + EXPECT_GT(cc, 20); + EXPECT_GT(bounded, 100); + EXPECT_GT(design_carried, 30); + EXPECT_GT(dropped, 30); + EXPECT_GT(preferred, 100); + EXPECT_GT(collapsed, 100); + EXPECT_GT(held, 100); +} diff --git a/tests/cpp/zero_capacity_tests.cpp b/tests/cpp/zero_capacity_tests.cpp index 37bef18..694159f 100644 --- a/tests/cpp/zero_capacity_tests.cpp +++ b/tests/cpp/zero_capacity_tests.cpp @@ -3,9 +3,9 @@ // still gives a zero-capacity member its round-robin share (dropped under Lossy, blocking under // Lossless), a Weighted split gives it weight 0 and never routes around it, sensitivity lists it, // and Global's minimum cut lists it when it leaves the sources' residual closure. Each test checks -// the hand-derived values of the expected-result rows (Z-nn) of the change's ledger on small -// graphs whose EdgeIds equal their input positions (asserted). The graphs: S (the contract's search -// example and the owner page's G8): 0: 0 -> 1 cap 0, 1: 0 -> 2 cap 5, 2: 2 -> 1 cap 5, costs 1; +// hand-derived values on small graphs whose EdgeIds equal their input positions (asserted). The +// graphs: S (the contract's search example, whose only shortest route crosses the zero edge): 0: +// 0 -> 1 cap 0, 1: 0 -> 2 cap 5, 2: 2 -> 1 cap 5, costs 1; // B (two sources): 0: 0 -> 2 cap 0, 1: 1 -> 2 cap 10. #include @@ -91,6 +91,20 @@ Placed place_once(const std::shared_ptr& g, std::vector s, return x; } +// T1 with N tunnels per head: one replace(offer, design) on a fresh ledger of g. +FlowPolicyConfig t1(std::int64_t n, Admission a = Admission::Lossless, std::optional ceiling = std::nullopt) { + return FlowPolicyConfig {.routing = CapacityAware {Tunnels {n}, ceiling}, .admission = a}; +} +Placed replace_once(const std::shared_ptr& g, std::vector s, std::vector d, + const FlowPolicyConfig& c, Amount offer, Amount design) { + FlowLedger fg(g); + FlowPolicy p(fg, s, d, c); + Placed x; + x.r = p.replace(offer, design); + x.records = p.records(); + return x; +} + std::vector> entries(const SensitivityResult& s) { std::vector> out; for (const auto& e : s.entries) out.emplace_back(e.edge, e.loss); @@ -99,13 +113,13 @@ std::vector> entries(const SensitivityResult& s) { } // namespace -// Z-01 to Z-05, Z-13: SPF-zero-edge and its variants on S. +// SPF over the zero edge and its variants on S. TEST(ZeroCapacity, SpfSearchesTheZeroEdgeAndOnlyAResidualFiltersIt) { const auto g = graph_s(); const auto t = search(*g, {0}, Direction::Forward, std::vector {1}); EXPECT_EQ(t.target_cost, 1); EXPECT_EQ(dag_edges(t.dag), (std::vector{0})); - const std::vector res = {0, 5, 5}; // SPF-zero-edge-residual + const std::vector res = {0, 5, 5}; // a residual that filters the zero edge const auto gated = search(*g, {0}, Direction::Forward, std::vector {1}, sel(), &res); EXPECT_EQ(gated.target_cost, 2); EXPECT_EQ(dag_edges(gated.dag), (std::vector{1, 2})); @@ -125,7 +139,7 @@ TEST(ZeroCapacity, SpfSearchesTheZeroEdgeAndOnlyAResidualFiltersIt) { EXPECT_EQ(dag_edges(masked.dag), (std::vector{1, 2})); } -// Z-06, Z-07 (KSP-zero-edge and -residual) through ksp; Z-08 in ksp_tests.cpp. +// KSP over the zero edge, with and without a residual (the Stretch case is in ksp_tests.cpp). TEST(ZeroCapacity, KspListsTheZeroEdgeWalk) { const auto g = graph_s(); auto r = ksp(*g, 0, 1, KspOptions(2, sel())); @@ -138,7 +152,7 @@ TEST(ZeroCapacity, KspListsTheZeroEdgeWalk) { EXPECT_EQ(walks(ksp(*g, 0, 1, o)), (std::vector>{{1, 2}})); } -// Z-09 to Z-12: the parallel-member rule and the priorities without a residual. +// The parallel-member rule and the priorities without a residual. TEST(ZeroCapacity, CollapseAndPrioritiesWithoutAResidual) { const auto pair = ordered(2, {{0, 1, 0, 1}, {0, 1, 3, 1}}); auto collapse = [&](EdgeTieBreak t, EdgePriority p) { @@ -148,7 +162,7 @@ TEST(ZeroCapacity, CollapseAndPrioritiesWithoutAResidual) { EXPECT_EQ(collapse(EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity), (std::vector{1})); EXPECT_EQ(collapse(EdgeTieBreak::PreferHigherPriority, EdgePriority::Headroom), (std::vector{1})); EXPECT_EQ(collapse(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual), (std::vector{1})); - // Z-10, Z-12: on positive capacities 1 and 5, Headroom reads 1 everywhere (EdgeId order + // On positive capacities 1 and 5, Headroom reads 1 everywhere (EdgeId order // decides); Capacity and Residual read the capacities. const auto d = ordered(4, {{0, 1, 1, 1}, {0, 2, 5, 1}, {1, 3, 1, 1}, {2, 3, 5, 1}}); auto path = [&](const std::shared_ptr& h, EdgeTieBreak t, EdgePriority p) { @@ -157,7 +171,7 @@ TEST(ZeroCapacity, CollapseAndPrioritiesWithoutAResidual) { EXPECT_EQ(path(d, EdgeTieBreak::PreferHigherPriority, EdgePriority::Headroom), (std::vector{0, 2})); EXPECT_EQ(path(d, EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity), (std::vector{1, 3})); EXPECT_EQ(path(d, EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual), (std::vector{1, 3})); - // Z-11: Headroom 0 on the zero-capacity edge, 1 elsewhere. + // Headroom 0 on the zero-capacity edge, 1 elsewhere. const auto z = ordered(4, {{0, 1, 0, 1}, {0, 2, 5, 1}, {1, 3, 5, 1}, {2, 3, 5, 1}}); EXPECT_EQ(path(z, EdgeTieBreak::PreferHigherPriority, EdgePriority::Headroom), (std::vector{1, 3})); EXPECT_EQ(path(z, EdgeTieBreak::Deterministic, EdgePriority::Headroom), (std::vector{0, 2})); @@ -165,7 +179,7 @@ TEST(ZeroCapacity, CollapseAndPrioritiesWithoutAResidual) { EXPECT_EQ(walks(ksp(*z, 0, 3, o)), (std::vector>{{1, 3}, {0, 2}})); } -// Z-14, Z-15: the cached support is capacity-blind, and a policy reading it places 0 on S. +// The cached support is capacity-blind, and a policy reading it places 0 on S. TEST(ZeroCapacity, DagCacheValuesAndTheirConsumers) { const auto g = graph_s(); DagCache cache(*g); @@ -181,7 +195,7 @@ TEST(ZeroCapacity, DagCacheValuesAndTheirConsumers) { EXPECT_EQ(capacity(*g, v({0}), v({1}), QueryOptions {cost_only_config(), nullptr, &cache}).placed, 0); } -// Z-16 to Z-21: G8 under every model. +// S under every model: its only shortest route crosses the zero edge. TEST(ZeroCapacity, G8ForEveryModel) { const auto g = graph_s(); const auto eb = place_once(g, {0}, {1}, cost_only_config(), 5); @@ -222,10 +236,14 @@ TEST(ZeroCapacity, G8ForEveryModel) { sel(EdgeTieBreak::Deterministic, EdgePriority::Capacity, false)), 5); EXPECT_EQ(single.r.placed, 0); EXPECT_EQ(place_once(g, {0}, {1}, global_config(), 5).r.placed, 5); - EXPECT_EQ(place_once(g, {0}, {1}, cfg(CapacityAware {.flow_count = 1}, FlowPlacement::EqualBalanced), 5).r.placed, 5); + // T1: the request of 5 filters the zero link out (6.4): the tunnel comes up over 0 -> 2 -> 1. + const auto tunnel = replace_once(g, {0}, {1}, t1(1), 5, 5); + EXPECT_EQ(tunnel.r.placed, 5); + ASSERT_EQ(tunnel.r.program->tunnels().size(), 1U); + EXPECT_EQ(tunnel.r.program->tunnels()[0].edges, (std::optional> {{1, 2}})); } -// Z-22 to Z-25: a zero-capacity member first, last and deeper, and the parallel-member choice. +// A zero-capacity member first, last and deeper, and the parallel-member choice. TEST(ZeroCapacity, EqualSplitsKeepTheZeroMemberWeightedSplitsPruneIt) { struct Want { Amount eb_lossless, eb_lossy; @@ -252,7 +270,7 @@ TEST(ZeroCapacity, EqualSplitsKeepTheZeroMemberWeightedSplitsPruneIt) { const auto w = place_once(deep, {0}, {3}, cfg(CostOnly {}, FlowPlacement::Weighted), 10); ASSERT_EQ(w.records.size(), 1U); EXPECT_EQ(w.records[0].edges, (std::vector> {{0, 10}, {2, 10}})); - // Z-25: one member per pair; Headroom reads the working residual, 0/0 on the zero link being 0 + // One member per pair; Headroom reads the working residual, 0/0 on the zero link being 0 // (were it compared equal to every value, the lower EdgeId 0 would stay). auto collapsed = [&](EdgeTieBreak t, EdgePriority p) { return place_once(first, {0}, {1}, @@ -269,8 +287,8 @@ TEST(ZeroCapacity, EqualSplitsKeepTheZeroMemberWeightedSplitsPruneIt) { EXPECT_EQ(head.r.placed, 10); // the canonical single path by bottleneck: Headroom 1 over 0 } -// Z-26 to Z-29: the first-hop experiment, STALE-wcmp-zero-capacity, STALE-all-zero-weight and -// D-zero-service. +// The first-hop experiment, a stale WCMP member of capacity 0, all weights zero and a link of +// service 0. TEST(ZeroCapacity, LossyInjectionAndAllZeroWeights) { const auto lossy_eb = cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy); const auto first = ordered(2, {{0, 1, 0, 1}, {0, 1, 10, 1}}); @@ -298,7 +316,7 @@ TEST(ZeroCapacity, LossyInjectionAndAllZeroWeights) { EXPECT_EQ(d.r.termination, Termination::Complete); } -// Z-30 to Z-35: B3-zero-first, B3-positive-first and B3-delete-zero under the equal origin: a +// A zero-capacity first or second source, and its deletion, under the equal origin: a // source behind a zero-capacity link stays in the roster and receives its share, which Lossless // admits only when it is 0 (0 when it is the first source, 1 when the second) and Lossy loses. TEST(ZeroCapacity, ZeroCapacitySourcesStayInTheRoster) { @@ -322,14 +340,14 @@ TEST(ZeroCapacity, ZeroCapacitySourcesStayInTheRoster) { const auto py = place_once(bp, {0, 1}, {2}, lossy_eb, 10); EXPECT_EQ(py.r.placed, 5); EXPECT_EQ(py.r.call_drops, (Drops {{1, 5}})); - // Z-33: the source or its link excluded: the roster is [1]. + // The source or its link excluded: the roster is [1]. const auto no_node = b->eligibility(std::vector {0}, {}); const auto no_link = b->eligibility({}, std::vector {0}); for (const Eligibility* el : {&no_node, &no_link}) { EXPECT_EQ(place_once(b, {0, 1}, {2}, cost_only_config(), 10, el).r.placed, 10); EXPECT_EQ(place_once(b, {0, 1}, {2}, global_config(), 10, el).r.placed, 10); } - // Z-34: Global keeps a zero-delivery record of source 0 with an empty bundle. + // Global keeps a zero-delivery record of source 0 with an empty bundle. const auto gl = place_once(b, {0, 1}, {2}, global_config(), 10); EXPECT_EQ(gl.r.placed, 10); EXPECT_EQ(gl.r.termination, Termination::Complete); @@ -337,32 +355,46 @@ TEST(ZeroCapacity, ZeroCapacitySourcesStayInTheRoster) { EXPECT_EQ(gl.records[0].delivered, 0); EXPECT_TRUE(dag_edges(*gl.records[0].bundle).empty()); EXPECT_EQ(gl.records[0].route_cost, kUnreachable); - // Z-35: CapacityAware: source 0 finds no route with free capacity, its share is lost. - const auto ca = place_once(b, {0, 1}, {2}, cfg(CapacityAware {.flow_count = 1}, FlowPlacement::EqualBalanced), 10); - EXPECT_EQ(ca.r.placed, 5); - EXPECT_EQ(ca.r.termination, Termination::NoRoute); - EXPECT_EQ(ca.records.size(), 1U); + // T1 (one tunnel per head, design 10: requests 5 and 5): head 0's link has no unreserved + // capacity, so its tunnel is down (NoBandwidth) and the head stays in the roster with its share + // (3.4): Lossless admits only totals that give it nothing, 0 as it is the first head; Lossy + // delivers head 1's 5 and loses head 0's 5 at the head. One record per entry, the down one too. + const auto ll_t1 = replace_once(b, {0, 1}, {2}, t1(1), 10, 10); + EXPECT_EQ(ll_t1.r.placed, 0); + EXPECT_EQ(ll_t1.r.termination, Termination::Exhausted); + ASSERT_EQ(ll_t1.records.size(), 2U); + EXPECT_EQ(ll_t1.records[0].entry, std::optional {0}); + EXPECT_EQ(ll_t1.r.by_tunnel[0].status, TunnelStatus::NoBandwidth); + const auto ly_t1 = replace_once(b, {0, 1}, {2}, t1(1, Admission::Lossy), 10, 10); + EXPECT_EQ(ly_t1.r.placed, 5); + EXPECT_EQ(ly_t1.r.call_source_loss, 5); + EXPECT_EQ(ly_t1.r.termination, Termination::Complete); } -// Z-36, Z-37: A-X8's delivery and A-X8-Stretch-exact's baseline in today's CapacityAware. -TEST(ZeroCapacity, CapacityAwareRosterAndStretchBaseline) { +// T1's setup on X8 and the pool baseline of Stretch(1.2) (6.4). +TEST(ZeroCapacity, T1RosterAndStretchBaseline) { + // X8: D = 4, N = 1: head 0's link has capacity 0 (NoBandwidth), head 1's is up; Lossy delivers + // head 1's 2 and loses head 0's 2. const auto x8 = ordered(3, {{0, 2, 0, 1}, {1, 2, 8, 3}}); - const auto r = place_once(x8, {0, 1}, {2}, cfg(CapacityAware {.flow_count = 1}, FlowPlacement::EqualBalanced), 4); + const auto r = replace_once(x8, {0, 1}, {2}, t1(1, Admission::Lossy), 4, 4); EXPECT_EQ(r.r.placed, 2); - EXPECT_EQ(r.r.termination, Termination::NoRoute); + EXPECT_EQ(r.r.call_source_loss, 2); + EXPECT_EQ(r.r.by_tunnel[0].status, TunnelStatus::NoBandwidth); + EXPECT_EQ(r.r.by_tunnel[1].status, TunnelStatus::Up); + // Stretch(1.2): c0 = 5 (the zero-capacity link counts); the stored 1.2 times 5 is just + // below 6, so the only feasible path (cost 6) exceeds the ceiling: CostCeiling, nothing + // delivered; a factor just above 1.2 admits it. const auto h = ordered(2, {{0, 1, 0, 5}, {0, 1, 1, 6}}); - const auto stretched = [&](double f) { - return place_once(h, {0}, {1}, cfg(CapacityAware {.flow_count = 1, .max_path_cost = Stretch {f}}, - FlowPlacement::EqualBalanced), 1); - }; - const auto exact = stretched(1.2); // baseline 5 (the zero link counts); 1.2 * 5 is below 6 + const auto stretched = [&](double f) { return replace_once(h, {0}, {1}, t1(1, Admission::Lossy, Stretch {f}), 1, 1); }; + const auto exact = stretched(1.2); EXPECT_EQ(exact.r.placed, 0); - EXPECT_EQ(exact.r.termination, Termination::NoRoute); - EXPECT_TRUE(exact.records.empty()); - EXPECT_EQ(stretched(1.2 + 1e-9).r.placed, 1); // the ceiling just above 6 admits the cost-6 route + EXPECT_EQ(exact.r.by_tunnel[0].status, TunnelStatus::CostCeiling); + EXPECT_EQ(exact.r.termination, Termination::Complete); // every tunnel down: not rule (3) + EXPECT_EQ(exact.records.size(), 1U); + EXPECT_EQ(stretched(1.2 + 1e-9).r.placed, 1); } -// Z-38 to Z-42: Pinned split routes over a zero-capacity link (E-zero-first, E-zero-last): each +// Pinned split routes over a zero-capacity link (first or last): each // route is its own split context, the head's share split over them by round robin. EqualBalanced // keeps the zero link as a member, so the first unit (route 0) blocks a Lossless total: 0 when the // zero route comes first, 1 when it comes last; Lossy offer 4 sends 2 down each route and loses @@ -397,7 +429,7 @@ TEST(ZeroCapacity, PinnedRoutesKeepTheirZeroLinks) { EXPECT_EQ(alone.records[0].delivered, 0); } -// Z-41, Z-50: the plan of a Weighted split route with capacity weights. A route without a +// The plan of a Weighted split route with capacity weights. A route without a // zero-capacity edge is its own member set; a route with one keeps only the positive edges on the // walks that remain, its route and route cost unchanged. TEST(ZeroCapacity, WeightedRoutePlansKeepOnlyPositiveEdges) { @@ -426,7 +458,7 @@ TEST(ZeroCapacity, WeightedRoutePlansKeepOnlyPositiveEdges) { EXPECT_EQ(cost, 2); } -// Z-43 to Z-48: the evaluators. +// The evaluators. TEST(ZeroCapacity, EvaluatorsCountZeroCapacityRoutesAndCandidates) { const auto s = graph_s(); const std::vector, std::vector>> pairs = {{{0}, {1}}, {{2}, {1}}}; @@ -434,21 +466,25 @@ TEST(ZeroCapacity, EvaluatorsCountZeroCapacityRoutesAndCandidates) { ASSERT_EQ(batch.size(), 2U); EXPECT_EQ(batch[0].placed, 0); EXPECT_EQ(batch[1].placed, 5); - // Z-44 (CostOnly, a negative loss) is in flow_policy_tests.cpp; Z-45: Global keeps its + // CostOnly's negative loss is in flow_policy_tests.cpp; Global keeps its // positive-flow candidates. EXPECT_EQ(entries(sensitivity(*s, v({0}), v({1}), QueryOptions {global_config()}, 1)), (std::vector> {{1, 5}, {2, 5}})); const auto b = graph_b(0, 10); - // CostOnly EB under the equal origin (B3-zero-first): the baseline is 0; deleting the zero link + // CostOnly EB under the equal origin (the zero-capacity source first): the baseline is 0; deleting the zero link // takes source 0 out of the roster and raises the total to 10 (loss -10); deleting link 1 leaves // source 0 alone (0). const auto eb = sensitivity(*b, v({0, 1}), v({2}), QueryOptions {cost_only_config()}, 1); EXPECT_EQ(eb.baseline.placed, 0); EXPECT_EQ(entries(eb), (std::vector> {{0, -10}, {1, 0}})); - const auto ca = sensitivity(*b, v({0, 1}), v({2}), - QueryOptions {cfg(CapacityAware {.flow_count = 1}, FlowPlacement::EqualBalanced)}, 2); - EXPECT_EQ(ca.baseline.placed, 10); - EXPECT_EQ(entries(ca), (std::vector> {{0, 0}, {1, 10}})); + // T1 with the design 10 (X8's shape): head 0 is down and first, so the + // baseline admits 0; deleting the zero link takes head 0 out of the roster and head 1's one + // tunnel carries 10 (loss -10); deleting link 1 leaves head 0 alone, down (0). + QueryOptions tq {t1(1)}; + tq.design_demand = Amount {10}; + const auto ca = sensitivity(*b, v({0, 1}), v({2}), tq, 2); + EXPECT_EQ(ca.baseline.placed, 0); + EXPECT_EQ(entries(ca), (std::vector> {{0, -10}, {1, 0}})); const auto p0 = ordered(2, {{0, 1, 0, 1}, {0, 1, 4, 1}}); const Pinned pin = pinned_dags(*p0, 0, 1, {dag_of(*p0, {0}), dag_of(*p0, {1})}); const auto ps = sensitivity(*p0, v({0}), v({1}), QueryOptions {{.routing = pin}}, 1); @@ -456,7 +492,7 @@ TEST(ZeroCapacity, EvaluatorsCountZeroCapacityRoutesAndCandidates) { EXPECT_EQ(entries(ps), (std::vector> {{0, -4}, {1, 0}})); } -// Z-56: Global's minimum cut lists the zero-capacity link leaving the closure (value unchanged); +// Global's minimum cut lists the zero-capacity link leaving the closure (value unchanged); // an excluded link is never listed. 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diff --git a/tests/py/helpers.py b/tests/py/helpers.py index 0d96433..435bd17 100644 --- a/tests/py/helpers.py +++ b/tests/py/helpers.py @@ -104,6 +104,15 @@ def config( ) +def t1_config(count, admission=None, selection=None, **routing): + """A T1 FlowPolicyConfig: CapacityAware(Tunnels(count), **routing), Lossless by default.""" + return ngc.FlowPolicyConfig( + routing=ngc.CapacityAware(ngc.Tunnels(count), **routing), + admission=admission or ngc.Admission.LOSSLESS, + selection=selection, + ) + + # The exact maximum flow (Global routing, the optimized origin) and CostOnly EqualBalanced, both # Lossless (CostOnly with sel()). Configurations are immutable, so tests share these values. GLOBAL = config(ngc.Global()) @@ -117,6 +126,7 @@ def config( ngc.TunnelFlow, ngc.ForwardingProgram, ngc.Tunnel, + ngc.TunnelPlan, ngc.SensitivityResult, ngc.SensitivityEntry, ngc.SpfResult, @@ -154,11 +164,13 @@ def plain(value): def ledger_state(ledger): """A FlowLedger's public state as comparable data, with no object identity (its uid, which is also the first half of every FlowId, and its graph's uid, which every bundle carries): - the residual, the allocations and every public field of every record, the bundle as its - three arrays.""" + both projections (the residual and the allocations, the holds and the unreserved capacity) + and every public field of every record, the bundle as its three arrays.""" return [ ledger.residual().tolist(), ledger.allocated().tolist(), + ledger.reserved().tolist(), + ledger.unreserved().tolist(), [ ( r.flow_id[1], @@ -177,6 +189,7 @@ def ledger_state(ledger): r.delivered, r.edges, r.drops, + r.reserved_edges, ) for r in ledger.records() ], diff --git a/tests/py/private_hooks.py b/tests/py/private_hooks.py index cb8cca3..01d7764 100644 --- a/tests/py/private_hooks.py +++ b/tests/py/private_hooks.py @@ -13,7 +13,7 @@ import _netgraph_core import pytest -HOOKS = hasattr(_netgraph_core, "_max_flows_per_call") +HOOKS = hasattr(_netgraph_core, "_fail_native_allocation") needs_hooks = pytest.mark.skipif( not HOOKS, reason="needs the private hooks (NETGRAPH_CORE_PRIVATE_HOOKS)" diff --git a/tests/py/test_docs_examples.py b/tests/py/test_docs_examples.py index 305c59e..3dcce86 100644 --- a/tests/py/test_docs_examples.py +++ b/tests/py/test_docs_examples.py @@ -107,7 +107,7 @@ def test_semantics_examples_print_their_documented_output(): text = (ROOT / "docs" / "semantics.md").read_text(encoding="utf-8") # The counts are pinned, so an example deleted together with its output is noticed: a # change to the document's examples updates them. - assert check_examples(text, "docs/semantics.md") == (20, 19) + assert check_examples(text, "docs/semantics.md") == (22, 21) def test_readme_quick_start_prints_its_commented_output(): diff --git a/tests/py/test_edge_amounts.py b/tests/py/test_edge_amounts.py index 6f9500c..9a3814b 100644 --- a/tests/py/test_edge_amounts.py +++ b/tests/py/test_edge_amounts.py @@ -180,7 +180,7 @@ def test_a_failed_reset_leaves_the_ledger_unchanged(): del policy # its records stay as orphans: reset() is allowed and would clear them uid, before = fg.uid(), ledger_state(fg) - assert before[1] == [2, 2] and len(before[2]) == 1 + assert before[1] == [2, 2] and len(before[4]) == 1 for bad in ([1], [1, 2.5], [6, 0], [4, 2**70]): with pytest.raises(ValueError): fg.reset(bad) diff --git a/tests/py/test_flow_ledger.py b/tests/py/test_flow_ledger.py index 7b70b39..36af2ff 100644 --- a/tests/py/test_flow_ledger.py +++ b/tests/py/test_flow_ledger.py @@ -115,9 +115,11 @@ def test_the_ledger_has_no_public_placement_or_removal(): "graph", "record", "records", + "reserved", "reset", "residual", "uid", + "unreserved", } @@ -317,8 +319,9 @@ def test_empty_split_graph_keeps_the_route_cost(): rec = fg.record(flow_id(w)) assert (rec.route_cost, rec.delivered, rec.edges) == (3, 0, []) if HOOKS: + # The flow's route is the split route before weight pruning (its replay basis). flows = next(iter(w._state()["cohorts"].values())) - assert flows[0]["members"] == [] + assert flows[0]["route"] == [0] def test_flow_ids_of_other_ledgers_and_bad_shapes(): diff --git a/tests/py/test_flow_policy.py b/tests/py/test_flow_policy.py index 33d5778..5cde355 100644 --- a/tests/py/test_flow_policy.py +++ b/tests/py/test_flow_policy.py @@ -29,6 +29,7 @@ plain, sel, sweep_python_allocation, + t1_config, to_ids, ) from private_hooks import HOOKS, needs_hooks @@ -49,7 +50,7 @@ def test_configurations_are_structural_and_explicit(): ngc.CostOnly(), ngc.FlowPlacement.MAX_FLOW, ngc.Admission.LOSSLESS, sel() ) # Keyword-only; every field but the routing has a default: placement, selection and origin - # None, admission LOSSLESS (contract r8 3.1). A wrong class is TypeError. + # None, admission LOSSLESS (contract 3.1). A wrong class is TypeError. plain = ngc.FlowPolicyConfig(routing=ngc.CostOnly()) assert (plain.placement, plain.admission, plain.selection, plain.origin) == ( None, @@ -68,63 +69,59 @@ def test_configurations_are_structural_and_explicit(): with pytest.raises(TypeError): ngc.FlowPolicyConfig(routing=ngc.CostOnly(), weights="EXPLICIT") with pytest.raises(TypeError, match="incompatible"): - ngc.CostOnly(flow_count=2) # a field outside its routing variant: TypeError + ngc.CostOnly( + tunnels=ngc.Tunnels(2) + ) # a field outside its routing variant: TypeError with pytest.raises(TypeError, match="incompatible"): - ngc.Global(max_flow_count=4) + ngc.Global(max_path_cost=ngc.Absolute(4)) with pytest.raises(TypeError, match="routing"): config("CostOnly") + # T1: the tunnel count (a Tunnels), the ceiling and the search minimum, every field as built. ca = ngc.CapacityAware( - flow_count=2, - max_flow_count=4, - max_path_cost=ngc.Stretch(1.5), - min_flow_bandwidth=3, - reoptimize=True, - diminishing=ngc.DiminishingReturns(2, 0.25), + ngc.Tunnels(2), max_path_cost=ngc.Stretch(1.5), min_unreserved_bandwidth=3 ) - assert (ca.flow_count, ca.max_flow_count, ca.min_flow_bandwidth, ca.reoptimize) == ( - 2, - 4, + assert (ca.tunnels, ca.max_path_cost, ca.min_unreserved_bandwidth) == ( + ngc.Tunnels(2), + ngc.Stretch(1.5), 3, - True, ) - assert ca.max_path_cost == ngc.Stretch(1.5) - assert (ca.diminishing.window, ca.diminishing.fraction) == (2, 0.25) - assert ngc.CapacityAware().max_path_cost is None + assert (ca.tunnels.count, ca.tunnels.up_to) == (2, False) + assert ngc.Tunnels(3, up_to=True).up_to is True + d = ngc.CapacityAware(ngc.Tunnels(1)) + assert (d.max_path_cost, d.min_unreserved_bandwidth) == (None, 0) assert ngc.CapacityAware( - max_path_cost=ngc.Absolute(7) + ngc.Tunnels(1), max_path_cost=ngc.Absolute(7) ).max_path_cost == ngc.Absolute(7) with pytest.raises(TypeError): - ngc.CapacityAware(2) # keyword-only + ngc.CapacityAware() # the tunnel count is required + with pytest.raises(TypeError): + ngc.CapacityAware(2) # a Tunnels, not an int + with pytest.raises(TypeError): + ngc.CapacityAware(ngc.Tunnels(1), ngc.Absolute(1)) # keyword-only after tunnels + with pytest.raises(TypeError): + ngc.Tunnels(2, True) # up_to is keyword-only for bad, message in ( - (2**40, "flow_count = 1099511627776 is out of range [-2147483648, 2147483647]"), - (True, "flow_count must be an integer (got bool)"), - (1.5, "flow_count must be an integer (got float)"), + (2**70, "tunnel count = 1180591620717411303424 is out of range"), + (True, "tunnel count must be an integer (got bool)"), + (1.5, "tunnel count must be an integer (got float)"), ): - with pytest.raises(ValueError, match=exact(message)): - ngc.CapacityAware(flow_count=bad) + with pytest.raises( + ValueError, match=message.replace("(", r"\(").replace(")", r"\)") + ): + ngc.Tunnels(bad) with pytest.raises( ValueError, match=exact( - "min_flow_bandwidth (units) = 1208925819614629174706176 is out of range " + "min_unreserved_bandwidth = 1208925819614629174706176 is out of range " "[-9223372036854775808, 9223372036854775807]" ), ): - ngc.CapacityAware(min_flow_bandwidth=2**80) + ngc.CapacityAware(ngc.Tunnels(1), min_unreserved_bandwidth=2**80) with pytest.raises(TypeError): ngc.Pinned([[0, 1]]) - cfg = config(ca) + cfg = ngc.FlowPolicyConfig(routing=ca) assert isinstance(cfg.routing, ngc.CapacityAware) - assert cfg.routing.flow_count == 2 - # Every field reads back as built, with the documented defaults. - d = ngc.CapacityAware() - assert ( - d.flow_count, - d.max_flow_count, - d.max_path_cost, - d.min_flow_bandwidth, - d.reoptimize, - d.diminishing, - ) == (1, None, None, 0, False, None) + assert cfg.routing.tunnels.count == 2 s = sel(ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, RES, False, True) cfg = ngc.FlowPolicyConfig( routing=ngc.Global(), @@ -137,22 +134,22 @@ def test_configurations_are_structural_and_explicit(): assert cfg.admission == ngc.Admission.LOSSY assert cfg.selection == s assert cfg.origin == ngc.Origin.EQUAL - assert ngc.PathSelection() == sel(ngc.EdgeTieBreak.DETERMINISTIC, CAP, True, True) + assert ngc.PathSelection() == sel(ngc.EdgeTieBreak.DETERMINISTIC, CAP, None, True) + assert ngc.PathSelection().multipath is None + assert ngc.PathSelection() != sel(ngc.EdgeTieBreak.DETERMINISTIC, CAP, True, True) o = ngc.OutputOptions() - assert (o.edge_flows, o.residual, o.bottleneck, o.min_cut) == (False,) * 4 - for flags in ( - (True, False, False, False), - (False, True, False, False), - (False, False, True, False), - (False, False, False, True), - ): - o = ngc.OutputOptions( - edge_flows=flags[0], - residual=flags[1], - bottleneck=flags[2], - min_cut=flags[3], - ) - assert (o.edge_flows, o.residual, o.bottleneck, o.min_cut) == flags + names = ( + "edge_flows", + "residual", + "bottleneck", + "reservation_edge_flows", + "min_cut", + ) + assert tuple(getattr(o, n) for n in names) == (False,) * 5 + for k in range(len(names)): + flags = tuple(i == k for i in range(len(names))) + o = ngc.OutputOptions(**dict(zip(names, flags, strict=True))) + assert tuple(getattr(o, n) for n in names) == flags # Pinned keeps its program and black holes by reference (one shared, immutable value each). g = diamond() a, b = dag_of(g, ids(g, [0, 1])), dag_of(g, ids(g, [2, 3])) @@ -174,7 +171,6 @@ def test_configurations_are_structural_and_explicit(): (ngc.CostOnly(), ngc.FlowPlacement.WEIGHTED, ngc.Origin.EQUAL), (ngc.CostOnly(), ngc.FlowPlacement.MAX_FLOW, ngc.Origin.OPTIMIZED), (ngc.Global(), None, ngc.Origin.OPTIMIZED), - (ngc.CapacityAware(), ngc.FlowPlacement.MAX_FLOW, ngc.Origin.EQUAL), ): got = ngc.FlowPolicy( ngc.FlowLedger(g), @@ -184,23 +180,19 @@ def test_configurations_are_structural_and_explicit(): ).config assert got.origin == origin assert got.selection == (None if placement is None else ngc.PathSelection()) + got = ngc.FlowPolicy( + ngc.FlowLedger(g), + 0, + 3, + ngc.FlowPolicyConfig(routing=ngc.CapacityAware(ngc.Tunnels(1))), + ).config + assert (got.origin, got.selection, got.placement) == ( + ngc.Origin.EQUAL, + ngc.PathSelection(), + None, + ) # The constructors' own checks: an integer field outside its C++ type raises ValueError; a - # field of the wrong class, a reoptimize that is not a truth value and an unknown keyword - # raise TypeError. reoptimize takes a bool, a number or None by its truth value. - with pytest.raises( - ValueError, - match=exact( - "max_flow_count = 2147483648 is out of range [-2147483648, 2147483647]" - ), - ): - ngc.CapacityAware(max_flow_count=2**31) - with pytest.raises( - ValueError, - match=exact( - "diminishing window = 2147483648 is out of range [-2147483648, 2147483647]" - ), - ): - ngc.DiminishingReturns(2**31, 0.5) + # field of the wrong class and an unknown keyword raise TypeError. assert ngc.Absolute(2**63 - 1).cost == 2**63 - 1 assert ngc.Absolute(-(2**63)).cost == -(2**63) for bad in (2**63, -(2**63) - 1): @@ -214,21 +206,9 @@ def test_configurations_are_structural_and_explicit(): with pytest.raises( TypeError, match=exact("max_path_cost must be Absolute, Stretch or None") ): - ngc.CapacityAware(max_path_cost=3) - with pytest.raises( - TypeError, match=exact("diminishing must be DiminishingReturns or None") - ): - ngc.CapacityAware(diminishing=0.5) - with pytest.raises(TypeError): - ngc.CapacityAware(reoptimize="yes") - assert [ngc.CapacityAware(reoptimize=x).reoptimize for x in (1, 0, 2.5, None)] == [ - True, - False, - True, - False, - ] + ngc.CapacityAware(ngc.Tunnels(1), max_path_cost=3) with pytest.raises(TypeError): - ngc.CapacityAware(flow_counts=2) + ngc.CapacityAware(ngc.Tunnels(1), min_flow_bandwidth=2) # T0's field is gone class _ConversionFailed(Exception): @@ -276,14 +256,14 @@ def __index__(self): def test_float_fields_hold_only_finite_floats(): - # Stretch's factor and DiminishingReturns' fraction are C++ doubles. An integer with no finite + # Stretch's factor is a C++ double. An integer with no finite # double (at either sign, as a Python int or through __index__) is outside the field's domain: # ValueError naming the field. The last integer that rounds to the largest finite double is # kept as that double; the next one rounds past it. top = sys.float_info.max last = 2**1024 - 2**970 - 1 assert ngc.Stretch(last).factor == top - assert ngc.DiminishingReturns(1, -last).fraction == -top + assert ngc.Stretch(-last).factor == -top class Index: def __index__(self): @@ -293,10 +273,6 @@ def __index__(self): for bad in (last + 1, -(last + 1), 10**400, Index()): with pytest.raises(ValueError, match=exact("Stretch factor " + too_large)): ngc.Stretch(bad) - with pytest.raises( - ValueError, match=exact("diminishing fraction " + too_large) - ): - ngc.DiminishingReturns(1, bad) # So is an int subclass that keeps int's own conversion; one with its own __float__ is # converted by that first, as float() does. with pytest.raises(ValueError, match=exact("Stretch factor " + too_large)): @@ -306,13 +282,9 @@ def __index__(self): # OverflowError raised by its own __float__ or __index__ too: no integer was returned. with pytest.raises(_ConversionFailed): ngc.Stretch(_FailingFloat(2.0)) - with pytest.raises(_ConversionFailed): - ngc.DiminishingReturns(1, _FailingFloat(0.5)) for bad in (_OverflowingFloat(2.0), _OverflowingIndex(), _OverflowingIntFloat(2)): with pytest.raises(OverflowError, match=exact("own conversion")): ngc.Stretch(bad) - with pytest.raises(OverflowError, match=exact("own conversion")): - ngc.DiminishingReturns(1, bad) def test_validation_messages_before_binding(): @@ -328,10 +300,6 @@ def rejects(cfg, msg, src=0): config(ngc.CostOnly(), ngc.FlowPlacement.MAX_FLOW, ngc.Admission.LOSSY), LOSSY_KERNEL, ) - rejects( - config(ngc.CapacityAware(), admission=ngc.Admission.LOSSY), - "CapacityAware requires admission=LOSSLESS", - ) rejects( ngc.FlowPolicyConfig( routing=ngc.Global(), placement=ngc.FlowPlacement.MAX_FLOW @@ -339,26 +307,19 @@ def rejects(cfg, msg, src=0): "Global does not accept placement", ) rejects(ngc.FlowPolicyConfig(routing=ngc.CostOnly()), "CostOnly requires placement") + rejects(t1_config(0), "tunnel count must be in [1, 10000]") + rejects(t1_config(10001), "tunnel count must be in [1, 10000]") rejects( - config(ngc.CapacityAware(flow_count=0)), - "CapacityAware flow_count must be >= 1 (got 0)", - ) - rejects( - config(ngc.CapacityAware(flow_count=2, max_flow_count=1)), - "CapacityAware max_flow_count (1) must be >= flow_count (2)", - ) - rejects( - config(ngc.CapacityAware(max_path_cost=ngc.Stretch(0.5))), - stretch.format("0.500000"), - ) - rejects( - config(ngc.CapacityAware(max_path_cost=ngc.Stretch(math.nan))), - stretch.format("nan"), - ) - rejects( - config(ngc.CapacityAware(diminishing=ngc.DiminishingReturns(1, 1.0))), - "diminishing fraction must be in (0, 1) (got 1.000000)", + ngc.FlowPolicyConfig(routing=ngc.CapacityAware(ngc.Tunnels(2, up_to=True))), + "T1 requires an exact tunnel count", ) + rejects(t1_config(1, max_path_cost=ngc.Stretch(0.5)), stretch.format("0.500000")) + rejects(t1_config(1, max_path_cost=ngc.Stretch(math.nan)), stretch.format("nan")) + for bad in (-1, 2**62): + rejects( + t1_config(1, min_unreserved_bandwidth=bad), + "min_unreserved_bandwidth must be an integer in [0, 2^62)", + ) b = dag_of(g, ids(g, [0, 1])) program = ngc.ForwardingProgram.from_routes(g, 0, 3, [ngc.Route(0, b)]) rejects( @@ -418,19 +379,20 @@ def rejects(cfg, msg, src=0): LOSSY_KERNEL = "MAX_FLOW requires admission=LOSSLESS" -HEADROOM_KERNEL = ( - "the Weighted kernel is rejected with priority Headroom (weights are units)" -) P = ngc.FlowPlacement A = ngc.Admission ORIGIN = ngc.Origin +def T1(): + return ngc.CapacityAware(ngc.Tunnels(1)) + + @pytest.mark.parametrize( ("routing", "placement", "admission", "selection", "origin", "msg"), [ # The rows of the matrix, their columns left to right: placement, origin, admission, - # selection (contract r8 3.2, 14.3, 14.4). + # selection (contract 3.2, 14.3, 14.4). ( ngc.Global, P.MAX_FLOW, @@ -466,21 +428,14 @@ def rejects(cfg, msg, src=0): ), (ngc.CostOnly, P.MAX_FLOW, A.LOSSY, True, ORIGIN.EQUAL, LOSSY_KERNEL), ( - ngc.CapacityAware, + T1, P.MAX_FLOW, A.LOSSY, True, ORIGIN.OPTIMIZED, - "T1 requires origin=EQUAL", - ), - ( - ngc.CapacityAware, - P.EQUAL_BALANCED, - A.LOSSY, - True, - None, - "CapacityAware requires admission=LOSSLESS", + "T1 does not accept placement", ), + (T1, None, A.LOSSY, True, ORIGIN.OPTIMIZED, "T1 requires origin=EQUAL"), ], ) def test_several_defects_report_the_first_in_the_contract_order( @@ -524,7 +479,7 @@ def test_enum_values_outside_their_enumeration_are_rejected(): with pytest.raises(ValueError, match="priority: 99 is not a value of EdgePriority"): ngc.PathSelection(ngc.EdgeTieBreak.DETERMINISTIC, ngc.EdgePriority(99)) g = diamond() - for routing in (ngc.CostOnly(), ngc.CapacityAware(), ngc.Global()): + for routing in (ngc.CostOnly(), T1(), ngc.Global()): for cfg, message in ( ( ngc.FlowPolicyConfig(routing=routing, placement=ngc.FlowPlacement(99)), @@ -632,137 +587,6 @@ def test_placement_result_fields_and_outputs(): assert [rec.delivered for rec in gl.records()] == [8] -def three_routes(a, b, c): - # Three disjoint routes 0 -> x -> 4 (input order): A through 1 of cost 1 + 1 = 2, B through 2 - # of cost 2 + 1 = 3, C through 3 of cost 2 + 2 = 4; capacities a, b, c on both edges. - return build( - 5, - [ - (0, 1, a, 1), - (1, 4, a, 1), - (0, 2, b, 2), - (2, 4, b, 1), - (0, 3, c, 2), - (3, 4, c, 2), - ], - ) - - -def routes_of(g, policy): - """Per record: (route cost, delivered, the bundle's input edges, units per input edge).""" - pos = g.input_index() - return [ - ( - r.route_cost, - r.delivered, - sorted(int(pos[e]) for e in r.bundle.via_edges()), - sorted((int(pos[e]), x) for e, x in r.edges), - ) - for r in policy.records() - ] - - -def gated(kernel, ceiling=None, floor=0): - return config( - ngc.CapacityAware(max_path_cost=ceiling, min_flow_bandwidth=floor), kernel - ) - - -# Each route of three_routes(2, 2, 2) carrying its 2 units, as routes_of reports it. -A2 = (2, 2, [0, 1], [(0, 2), (1, 2)]) -B2 = (3, 2, [2, 3], [(2, 2), (3, 2)]) -C2 = (4, 2, [4, 5], [(4, 2), (5, 2)]) -KERNELS = [ngc.FlowPlacement.MAX_FLOW, ngc.FlowPlacement.EQUAL_BALANCED] - - -@pytest.mark.parametrize("kernel", KERNELS) -@pytest.mark.parametrize( - "ceiling, placed, routes", - [ - (ngc.Absolute(3), 4, [A2, B2]), - (ngc.Stretch(1.5), 4, [A2, B2]), - (ngc.Absolute(4), 6, [A2, B2, C2]), - (ngc.Stretch(2.0), 6, [A2, B2, C2]), - (None, 6, [A2, B2, C2]), - (ngc.Absolute(1), 0, []), - ], -) -def test_path_cost_ceiling_excludes_a_costlier_route(kernel, ceiling, placed, routes): - # CapacityAwareGates.PathCostCeilingExcludesACostlierRoute through the binding, derived by - # hand on three_routes(2, 2, 2): A (cost 2) is created and filled to 2, - # growth adds B (cost 3; EqualBalanced: cohort [2, 2]), and C (cost 4) only when the - # inclusive ceiling admits it: Absolute(3) and Stretch(1.5) (1.5 * 2 = 3) exclude it - # (placed 4, exhausted), Absolute(4) and Stretch(2) admit it (placed 6). Absolute(1) admits - # no route: placed 0, no_route. - g = three_routes(2, 2, 2) - p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 4, gated(kernel, ceiling)) - term = T.NO_ROUTE if placed == 0 else T.EXHAUSTED - if ( - HOOKS - ): # the trace shows the per-source reduction CapacityAware keeps until step 4 - r, trace = p._place_traced(10, ngc.OutputOptions()) - assert trace["local_outcomes"] == {0: term.name.lower()} - else: - r = p.place(10) - assert (r.placed, r.remaining, r.termination) == (placed, 10 - placed, term) - assert (r.routes_changed, r.weights_changed) == (bool(routes), False) - assert routes_of(g, p) == routes - - -@pytest.mark.parametrize("kernel", KERNELS) -@pytest.mark.parametrize("factor, placed, routes", [(1.5, 2, [B2]), (2.0, 4, [B2, C2])]) -def test_stretch_baseline_is_the_static_shortest_cost(kernel, factor, placed, routes): - # A third party holds both units of A: the static shortest cost stays 2 (the Stretch - # baseline ignores the residual), so Stretch(1.5) admits B (3) and not C (4): placed 2. A - # baseline on the residual (3) would admit C under 4.5. Stretch(2) admits C: placed 4. - g = three_routes(2, 2, 2) - ledger = ngc.FlowLedger(g) - third = ngc.FlowPolicy( - ledger, - 0, - 4, - ngc.FlowPolicyConfig(routing=ngc.Global(support=dag_of(g, ids(g, [0, 1])))), - ) - assert third.place(2).placed == 2 - p = ngc.FlowPolicy(ledger, 0, 4, gated(kernel, ngc.Stretch(factor))) - r = p.place(10) - assert (r.placed, r.termination) == (placed, T.EXHAUSTED) - assert routes_of(g, p) == routes - - -@pytest.mark.parametrize( - "kernel, floor, placed, routes", - [ - (ngc.FlowPlacement.MAX_FLOW, 3, 4, [(2, 4, [0, 1], [(0, 4), (1, 4)])]), - (ngc.FlowPlacement.MAX_FLOW, 2, 6, [(2, 4, [0, 1], [(0, 4), (1, 4)]), B2]), - (ngc.FlowPlacement.MAX_FLOW, 5, 0, []), - (ngc.FlowPlacement.EQUAL_BALANCED, 3, 4, [(2, 4, [0, 1], [(0, 4), (1, 4)])]), - ( - ngc.FlowPlacement.EQUAL_BALANCED, - 2, - 5, - [(2, 3, [0, 1], [(0, 3), (1, 3)]), B2], - ), - (ngc.FlowPlacement.EQUAL_BALANCED, 5, 0, []), - ], -) -def test_min_flow_bandwidth_stops_growth_below_the_floor(kernel, floor, placed, routes): - # CapacityAwareGates.MinFlowBandwidthStopsGrowthBelowTheFloor through the binding, derived - # by hand (every search gated at residual >= max(1, floor)) on three_routes(4, 2, 0): A of - # 4 units at cost 2, B of 2 at cost 3. Floor 3: A is filled to 4, B (residual 2) is below - # the floor, growth stops: placed 4. Floor 2: B is added: MaxFlow 4 + 2; EqualBalanced the - # cohort [3, 2] (round robin, the odd unit to the first flow; [3, 3] exceeds B), then A's - # residual 1 is below the floor: placed 5. Floor 5: no route at all, no_route. - g = three_routes(4, 2, 0) - p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 4, gated(kernel, floor=floor)) - r = p.place(10) - assert (r.placed, r.termination) == ( - placed, - T.NO_ROUTE if placed == 0 else T.EXHAUSTED, - ) - assert routes_of(g, p) == routes - - def test_lifetimes_keep_alive_and_orphans(): g = diamond() fg = ngc.FlowLedger(g) @@ -963,7 +787,7 @@ def test_sensitivity_candidates_and_signed_losses(monkeypatch): assert s.baseline.placed == 2 pos = p.input_index() assert {int(pos[e.edge]): e.loss for e in s.entries} == {0: 1, 1: 1, 2: 0} - # A negative loss on a zero-capacity link (G8): the only shortest route 0 -> 1 has capacity + # A negative loss on a zero-capacity link (the search graph S): the only shortest route 0 -> 1 has capacity # 0, so equal splitting carries 0; without it the route 0 -> 2 -> 1 carries 5. g8 = build(3, [(0, 1, 0, 1), (0, 2, 5, 1), (2, 1, 5, 1)]) s8 = ngc.sensitivity(g8, 0, 1, opts) diff --git a/tests/py/test_flow_policy_fixtures.py b/tests/py/test_flow_policy_fixtures.py index aa7b9a6..c19391e 100644 --- a/tests/py/test_flow_policy_fixtures.py +++ b/tests/py/test_flow_policy_fixtures.py @@ -1,4 +1,4 @@ -"""The 55 fixtures of the independent reference replayed through the bindings (the ledger and +"""The 31 fixtures of the independent reference replayed through the bindings (the ledger and the policies). ``tests/data/policy_fixtures.json`` was exported from the independent reference @@ -6,28 +6,25 @@ ``source`` string: ``tests/reference/policy/README.md``): every ledger, policy and call of every fixture in order, with the reference's values after each operation. The replay asserts every one of them on the build: each call's result (placed, remaining, -termination, local outcomes, flags, drops, the cost curve and the requested outputs), its -trace (the reference's keys: offers, created, per source the creation reservations, reroute -decisions, amounts and growth steps; Global's view, cap, flow-core payload and shares), the -ledger after it (allocations, residuals, every record field, next FlowId, owners) and the -policy state (roster, requested, +inf, placed demand, per source the flows' -ids, routes, T, deliveries, allocations, members and weights). An operation the reference -rejects must raise here too (the messages differ), and a rejected placement leaves the policy's -state as it was. Normalised on both sides: the T_max probe -counts, the flow core's operation counters and ledger uids. The replay reads the trace and sets -the creation cap through the private hooks, so it is skipped without them. +termination, flags, drops, the cost curve and the requested outputs), its trace (the +reference's keys: CostOnly's prepared routes, offers and admitted totals; the controllers' +view, cap, flow-core payload and shares), the ledger after it (allocations, residuals, every +record field, next FlowId, owners) and the policy state (roster, requested, +inf, placed +demand, per source the flows' ids, routes, T, deliveries and allocations). An operation the +reference rejects must raise here too (the messages differ), and a rejected placement leaves +the policy's state as it was. Normalised on both sides: the flow core's operation counters and +ledger uids. The replay reads the trace through the private hooks, so it is skipped without +them. """ from __future__ import annotations import copy -import gc import json import math import traceback from pathlib import Path -import _netgraph_core as ext import pytest from helpers import build, dag_of from private_hooks import needs_hooks @@ -65,7 +62,7 @@ def norm(x): if isinstance(x, dict): out = {} for k, v in x.items(): - if k in ("evals", "ledger_uid", "counters", "evaluations"): + if k in ("ledger_uid", "counters"): continue if ( k in ("flow_id", "flow") @@ -110,24 +107,6 @@ def config_of(g, c): elif kind == "Global": support = r.get("support") routing = ngc.Global(support=None if support is None else dag_of(g, support)) - elif kind == "CapacityAware": - ceiling = None - if r["max_path_cost"] is not None: - name, value = r["max_path_cost"] - ceiling = ngc.Absolute(value) if name == "Absolute" else ngc.Stretch(value) - dim = ( - None - if r["diminishing"] is None - else ngc.DiminishingReturns(*r["diminishing"]) - ) - routing = ngc.CapacityAware( - flow_count=r["flow_count"], - max_flow_count=r["max_flow_count"], - max_path_cost=ceiling, - min_flow_bandwidth=r["min_flow_bandwidth"], - reoptimize=r["reoptimize"], - diminishing=dim, - ) else: raise AssertionError(f"the data names an unknown routing ({kind})") sel = c["selection"] @@ -216,10 +195,6 @@ def policy_json(pol): continue out = [] for f in flows: - members = list(f["route"] if f["members"] is None else f["members"]) - weights = None - if f["weights"] is not None: - weights = [[e, w] for e, w in zip(members, f["weights"], strict=True)] out.append( { "id": f["flow_id"][1], @@ -227,8 +202,6 @@ def policy_json(pol): "T": None if lossy else f["T"], "delivered": f["delivered"], "alloc": [[e, x] for e, x in f["alloc"]], - "members": members, - "weights": weights, } ) cohorts.append([s, out]) @@ -247,7 +220,6 @@ def replay(fx, at=None): graphs = [build_graph(spec) for spec in fx["graphs"]] ledgers: dict[int, object] = {} policies: dict[int, object] = {} - alive = [] for i, op in enumerate(fx["ops"]): if at is not None: at.append(i) @@ -260,25 +232,6 @@ def replay(fx, at=None): assert not op["error"], where ledgers[op["id"]] = ngc.FlowLedger(graphs[op["graph"]], op["baseline"]) continue - if kind == "copy": - src = ledgers[op["ledger"]] - if op["error"]: - with pytest.raises((ValueError, TypeError)): - src.copy() - assert exactly(ledger_json(src), expect["ledger"]), where - continue - ledgers[op["id"]] = src.copy() - assert exactly(ledger_json(ledgers[op["id"]]), expect["ledger"]), where - continue - if kind == "reset": - fg = ledgers[op["ledger"]] - if op["error"]: - with pytest.raises((ValueError, TypeError)): - fg.reset(op["baseline"]) - else: - fg.reset(op["baseline"]) - assert exactly(ledger_json(fg), expect["ledger"]), where - continue if kind == "policy": fg = ledgers[op["ledger"]] g = fg.graph() @@ -298,26 +251,17 @@ def construct(op=op, fg=fg, g=g): construct() continue pol = construct() - alive.append(pol) policies[op["id"]] = (pol, fg) assert exactly(policy_json(pol), expect["policy"]), where continue pol, fg = policies[op["policy"]] - # Neither a removal nor a destruction can fail, so the reference must accept both. - assert kind not in ("remove", "destroy") or not op["error"], where + # A removal cannot fail, so the reference must accept it. + assert kind != "remove" or not op["error"], where if kind == "remove": pol.remove() assert exactly(ledger_json(fg), expect["ledger"]), where assert exactly(policy_json(pol), expect["policy"]), where continue - if kind == "destroy": - # The destruction law: dropping the last reference orphans the records. - alive[:] = [x for x in alive if x is not pol] - policies[op["policy"]] = None - del pol - gc.collect() - assert exactly(ledger_json(fg), expect["ledger"]), where - continue assert kind == "place", where volume = math.inf if op["volume"] == "inf" else op["volume"] outputs = None @@ -326,20 +270,16 @@ def construct(op=op, fg=fg, g=g): outputs = ngc.OutputOptions( edge_flows=e, residual=r, bottleneck=b, min_cut=m ) - old = ext._max_flows_per_call(op["cap"]) - try: - if op["error"]: - before = policy_json(pol) - with pytest.raises((ValueError, TypeError)): - pol.place(volume, outputs) - assert exactly(ledger_json(fg), expect["ledger"]), where - # The reference records the ledger only; the policy's own state (requested, - # +inf, the flows) must be as before the call too. - assert exactly(policy_json(pol), before), where - continue - r, trace = pol._place_traced(volume, outputs) - finally: - ext._max_flows_per_call(old) + if op["error"]: + before = policy_json(pol) + with pytest.raises((ValueError, TypeError)): + pol.place(volume, outputs) + assert exactly(ledger_json(fg), expect["ledger"]), where + # The reference records the ledger only; the policy's own state (requested, +inf, + # the flows) must be as before the call too. + assert exactly(policy_json(pol), before), where + continue + r, trace = pol._place_traced(volume, outputs) assert exactly(result_json(r), expect["result"]), where assert exactly(norm(trace), expect["trace"]), where assert exactly(ledger_json(fg), expect["ledger"]), where @@ -347,8 +287,8 @@ def construct(op=op, fg=fg, g=g): def test_the_data_holds_every_fixture(): - assert len(FIXTURES) == 55 - assert len({fx["name"] for fx in FIXTURES}) == 55 + assert len(FIXTURES) == 31 + assert len({fx["name"] for fx in FIXTURES}) == 31 @needs_hooks @@ -427,7 +367,7 @@ def test_a_corrupted_expectation_fails(key): assert index == n, fx["name"] assert f'expect["{key}"]' in line, fx["name"] corrupted += 1 - assert corrupted > 50 + assert corrupted == len(FIXTURES) # every fixture has such a placement def test_exactly_compares_types_at_every_level(): @@ -477,7 +417,7 @@ def test_an_expected_value_of_another_type_fails(change): assert index == n, fx["name"] assert 'expect["result"]' in line, fx["name"] changed += 1 - assert changed > 50 + assert changed == len(FIXTURES) @needs_hooks @@ -518,57 +458,24 @@ def test_every_other_replay_clause_reports_its_operation(monkeypatch): 'assert exactly(g.input_index().tolist(), spec["input_index"])', ) assert sections == { - "copy failed ledger", - "destroy ok ledger", "place failed ledger", "policy ok policy", "remove ok ledger", "remove ok policy", - "reset failed ledger", - "reset ok ledger", } assert flags == { - "copy failed", - "destroy ok", "ledger ok", "place failed", "place ok", "policy failed", "policy ok", "remove ok", - "reset failed", - "reset ok", } # An unknown operation in place of op 3 of global_epochs (a placement). epochs = next(fx for fx in FIXTURES if fx["name"] == "global_epochs") renamed = copy.deepcopy(epochs) renamed["ops"][3]["op"] = "move" assert _failure(renamed) == (3, 'assert kind == "place", where') - # A copy of global_epochs' ledger 0 before op 1 binds a policy to it succeeds (the data holds - # only a failing copy). Flagged as failing, with the source's true state expected, it fails - # at that operation only because it must raise; flagged as succeeding with a wrong expected - # ledger, its comparison fails. - assert epochs["ops"][0]["op"] == "ledger" and epochs["ops"][1]["op"] == "policy" - fresh = ledger_json(ngc.FlowLedger(build_graph(epochs["graphs"][0]), None)) - for error, expected in ((True, fresh), (False, {})): - copied = copy.deepcopy(epochs) - copied["ops"].insert( - 1, - { - "op": "copy", - "ledger": 0, - "id": 1, - "error": error, - "expect": {"ledger": expected}, - }, - ) - failure = _failure(copied) - assert failure is not None and failure[0] == 1, (error, failure) - if not error: - assert ( - failure[1] - == 'assert exactly(ledger_json(ledgers[op["id"]]), expect["ledger"]), where' - ) # Every call the data rejects, with the policy's +inf flag read flipped after that call only # (the binding gives no way to change a policy's state directly, so its state read is # changed): the comparison with the policy before the call must fail there. The ledger is @@ -605,7 +512,7 @@ def changed_state(self): n, "assert exactly(policy_json(pol), before), where", ), (fx["name"], n) - assert rejected_calls == 4 + assert rejected_calls == 3 monkeypatch.undo() # Op 2 of global_epochs is a Global zero call on a fresh policy (nothing prepared: no curve), # op 3 a positive call with the curve [[1, 1]]. With op 3 moved before op 2, the zero call diff --git a/tests/py/test_ledger_projections.py b/tests/py/test_ledger_projections.py new file mode 100644 index 0000000..c07fc5e --- /dev/null +++ b/tests/py/test_ledger_projections.py @@ -0,0 +1,192 @@ +"""The ledger's two projections through the binding (contract 10.1, 10.3): carried traffic +(allocated, residual) and the strict holds of T1 tunnels (reserved, unreserved), never added; +their baselines, texts, removal, orphans, reset, copy, the policy's reservation output and +records, imported programs and the bottleneck report.""" + +from __future__ import annotations + +import numpy as np +import pytest +from helpers import COSTONLY, build, exact, ledger_state, t1_config + +import netgraph_core as ngc + +LOSSY = ngc.Admission.LOSSY +HOLDS = ngc.OutputOptions(reservation_edge_flows=True) + + +def one10(): + return build(2, [(0, 1, 10, 1)]) + + +def twoh(a, b): + return build(3, [(0, 2, a, 1), (1, 2, b, 1)]) + + +def t1(ledger, sources, dest, n, admission=None): + return ngc.FlowPolicy(ledger, sources, dest, t1_config(n, admission)) + + +def test_two_projections_of_one_link(): + # Carried 4, held 6 on a link of 10: residual 6, unreserved 4; then replace(2, + # 6): placed 2, delivery_delta -2. + fg = ngc.FlowLedger(one10()) + p = t1(fg, 0, 1, 1) + p.replace(4, design_demand=6) + assert [ + x.tolist() + for x in (fg.allocated(), fg.residual(), fg.reserved(), fg.unreserved()) + ] == [ + [4], + [6], + [6], + [4], + ] + r = p.replace(2, design_demand=6) + assert (r.placed, r.delivery_delta) == (2, -2) + + +def test_holds_are_never_added_to_carried_load(): + # After the T1 call (carried 4, held 6) a CostOnly policy places the residual 6 (not 10 - 4 - 6). + fg = ngc.FlowLedger(one10()) + t1(fg, 0, 1, 1).replace(4, design_demand=6) + assert ngc.FlowPolicy(fg, 0, 1, COSTONLY).place(10).placed == 6 + + +def test_unreserved_texts(): + # The reservation baseline is keyword-only, checked after the + # residual's, with the residual baseline's messages under its own name. + g = one10() + fg = ngc.FlowLedger(g, unreserved=[3]) + p = t1(fg, 0, 1, 1) + r = p.replace(4, design_demand=4) + assert r.program.tunnels[0].status == ngc.TunnelStatus.NO_BANDWIDTH + assert (fg.residual().tolist(), fg.unreserved().tolist()) == ([10], [3]) + for bad, text in ( + ([3, 1], "unreserved has length 2, expected 1 (one entry per edge)"), + ([11], "unreserved[0] = 11 is outside [0, capacity_units[0] = 10]"), + ([-1], "unreserved[0] = -1 is outside [0, capacity_units[0] = 10]"), + ): + with pytest.raises(ValueError, match=exact(text)): + ngc.FlowLedger(g, unreserved=bad) + with pytest.raises( + ValueError, + match=exact("residual[0] = 11 is outside [0, capacity_units[0] = 10]"), + ): + ngc.FlowLedger(g, [11], unreserved=[11]) + with pytest.raises(TypeError): + ngc.FlowLedger(g, [10], [3]) # unreserved is keyword-only + # The contract's two-edge cases. + two = build(2, [(0, 1, 10, 1), (0, 1, 10, 1)]) + with pytest.raises( + ValueError, + match=exact("unreserved has length 3, expected 2 (one entry per edge)"), + ): + ngc.FlowLedger(two, unreserved=[1, 2, 3]) + with pytest.raises( + ValueError, + match=exact("unreserved[1] = 11 is outside [0, capacity_units[1] = 10]"), + ): + ngc.FlowLedger(two, unreserved=[5, 11]) + assert ngc.FlowLedger(two, unreserved=[10, 0]).unreserved().tolist() == [10, 0] + + +def test_snapshots_are_int64_copies(): + fg = ngc.FlowLedger(one10(), unreserved=np.array([7], dtype=np.int64)) + for snap in (fg.reserved, fg.unreserved): + a = snap() + assert a.dtype == np.int64 + before = a.tolist() + a[0] = 99 + assert snap().tolist() == before + + +def test_remove_releases_both(): + fg = ngc.FlowLedger(one10()) + p = t1(fg, 0, 1, 1) + p.replace(4, design_demand=6) + p.remove() + assert (fg.reserved().tolist(), fg.allocated().tolist()) == ([0], [0]) + assert p.program is None and p.records() == [] + p.remove() + assert fg.reserved().tolist() == [0] + + +def test_orphans_reset_and_copy(): + # Holds of a policy dropped without remove() stay as orphans, readable; reset() clears + # them; reset(unreserved=...) sets the reservation baseline; a copy keeps holds and records. + g = one10() + fg = ngc.FlowLedger(g) + p = t1(fg, 0, 1, 1) + p.replace(4, design_demand=6) + with pytest.raises(ValueError, match="cannot be copied"): + fg.copy() + with pytest.raises(ValueError, match="rejected while a policy is bound"): + fg.reset() + del p + assert fg.reserved().tolist() == [6] + assert [r.reserved_edges for r in fg.records()] == [[(0, 6)]] + copy = fg.copy() + assert copy.uid() != fg.uid() + assert ledger_state(copy) == ledger_state(fg) + fg.reset() + assert (fg.reserved().tolist(), fg.records()) == ([0], []) + assert copy.reserved().tolist() == [6] + fg.reset(unreserved=[3]) + assert (fg.unreserved().tolist(), fg.residual().tolist()) == ([3], [10]) + fg.reset([7]) + assert (fg.unreserved().tolist(), fg.residual().tolist()) == ([10], [7]) + with pytest.raises( + ValueError, + match=exact("unreserved[0] = 11 is outside [0, capacity_units[0] = 10]"), + ): + fg.reset(unreserved=[11]) + assert fg.residual().tolist() == [7] # a failed reset changes nothing + + +def test_reservation_output_and_record_holds(): + # The 6.6 policy's holds per edge [0, 6] and per record (tunnels 1 and 3 hold 3 on e1); + # a CostOnly policy's reservation output is zeros. + fg = ngc.FlowLedger(twoh(2, 10)) + p = t1(fg, [0, 1], 2, 2, LOSSY) + r = p.replace(12, design_demand=12, outputs=HOLDS) + assert r.reservation_edge_flows.tolist() == [0, 6] + assert r.reservation_edge_flows.dtype == np.int64 + recs = p.records() + assert [rec.reserved_edges for rec in recs] == [[], [(1, 3)], [], [(1, 3)]] + held = [0, 0] + for rec in recs: + for e, x in rec.reserved_edges: + held[e] += x + assert held == fg.reserved().tolist() + c = ngc.FlowPolicy(ngc.FlowLedger(twoh(2, 10)), [0, 1], 2, COSTONLY) + assert c.place(4, HOLDS).reservation_edge_flows.tolist() == [0, 0] + assert r.residual is None # only what is requested + assert p.replace(12, design_demand=12).reservation_edge_flows is None + + +def test_imported_programs_book_nothing(): + # Pinned over T1's program forwards it without a hold. + g = twoh(2, 10) + prog = ( + t1(ngc.FlowLedger(g), [0, 1], 2, 2, LOSSY).replace(12, design_demand=12).program + ) + fg = ngc.FlowLedger(g) + pin = ngc.FlowPolicy( + fg, [0, 1], 2, ngc.FlowPolicyConfig(routing=ngc.Pinned(prog), admission=LOSSY) + ) + r = pin.replace(12, outputs=HOLDS) + assert (r.reservation_edge_flows.tolist(), fg.reserved().tolist()) == ( + [0, 0], + [0, 0], + ) + assert all(rec.reserved_edges == [] for rec in pin.records()) + + +def test_bottleneck_reads_the_service_view_only(): + # One link held whole (unreserved 0) carries nothing: no saturation is reported. + fg = ngc.FlowLedger(one10()) + p = t1(fg, 0, 1, 1) + r = p.replace(0, design_demand=10, outputs=ngc.OutputOptions(bottleneck=True)) + assert fg.unreserved().tolist() == [0] + assert fg.bottleneck(0) == [] and r.bottleneck == [] diff --git a/tests/py/test_native_allocation.py b/tests/py/test_native_allocation.py index 43b9c02..5e69ccf 100644 --- a/tests/py/test_native_allocation.py +++ b/tests/py/test_native_allocation.py @@ -277,7 +277,7 @@ def spf_opts(direction=ngc.Direction.FORWARD, multipath=True, **kw): "sensitivity.global": stateless( lambda g: (ngc.sensitivity, (g, 0, 4, ngc.QueryOptions(GLOBAL), 1)) ), - # Forwarding programs (step 3): building one, every operation over one, black holes, a + # Forwarding programs: building one, every operation over one, black holes, a # support, and the evaluators over Pinned. "from_routes": stateless(split_route_args), "replace.pinned_tunnels_lossy": operation( diff --git a/tests/py/test_origin.py b/tests/py/test_origin.py index eac631b..d61d345 100644 --- a/tests/py/test_origin.py +++ b/tests/py/test_origin.py @@ -2,8 +2,7 @@ configuration's defaults and table with its error texts and their order, the pooled single-path rule, the controllers (Global and CostOnly MAX_FLOW) under both origins, min_cut as its own output, zero calls before and after preparation, the result's accounting and per-source rows, -the terminations and the evaluators. The values are derived by hand (dev/design step-2 LEDGER -rows C, Q, M, G, S, T, I5, I6 and V); the random tests compare the controllers with the +the terminations and the evaluators. The values are derived by hand; the random tests compare the controllers with the independent equal-origin and optimized references of ``origin_oracle.py``.""" from __future__ import annotations @@ -46,7 +45,7 @@ WIT = [(0, 1, 1, 1), (0, 2, 1, 1), (1, 0, 1, 1)] # 0 -> 2 PRIV = [(0, 2, 4, 1), (1, 2, 6, 1)] # {0, 1} -> 2 -Q12 = "CostOnly with multiple input sources rejects multipath=false with PREFER_HIGHER_PRIORITY" +POOLED_PHP = "CostOnly with multiple input sources rejects multipath=false with PREFER_HIGHER_PRIORITY" PREFER_PATH = sel(tie=ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, mp=False) @@ -100,7 +99,7 @@ def fresh(edges, sources, dests, config, elig=None, residual=None): def test_defaults_resolve(): - # C1, C2: the defaults are None on the value and resolve at the policy. + # The defaults are None on the value and resolve at the policy. c = ngc.FlowPolicyConfig(routing=ngc.CostOnly(), placement=P.EQUAL_BALANCED) assert (c.origin, c.admission, c.selection) == (None, A.LOSSLESS, None) g = graph(B1) @@ -122,7 +121,7 @@ def test_defaults_resolve(): def test_conversion_errors(): - # C3: conversion first: positional arguments, an unknown keyword, a string origin. + # Conversion first: positional arguments, an unknown keyword, a string origin. with pytest.raises(TypeError): ngc.FlowPolicyConfig(ngc.CostOnly(), P.EQUAL_BALANCED) with pytest.raises(TypeError): @@ -132,16 +131,15 @@ def test_conversion_errors(): def test_path_selection_defaults(): - # C17. + # multipath None is the model's natural shape (contract 3.3). assert ngc.PathSelection() == ngc.PathSelection( - ngc.EdgeTieBreak.DETERMINISTIC, ngc.EdgePriority.CAPACITY, True, True + ngc.EdgeTieBreak.DETERMINISTIC, ngc.EdgePriority.CAPACITY, None, True ) @pytest.mark.parametrize( ("config", "message"), [ - # C4 to C12. (ngc.FlowPolicyConfig(routing=ngc.CostOnly()), "CostOnly requires placement"), ( ngc.FlowPolicyConfig(routing=ngc.Global(), placement=P.MAX_FLOW), @@ -166,25 +164,17 @@ def test_path_selection_defaults(): ), ( ngc.FlowPolicyConfig( - routing=ngc.CapacityAware(), - placement=P.MAX_FLOW, - origin=ORIGIN.OPTIMIZED, + routing=ngc.CapacityAware(ngc.Tunnels(1)), origin=ORIGIN.OPTIMIZED ), "T1 requires origin=EQUAL", ), - ( - ngc.FlowPolicyConfig(routing=ngc.CapacityAware()), - "CapacityAware requires placement", - ), ( ngc.FlowPolicyConfig( - routing=ngc.CapacityAware(), - placement=P.EQUAL_BALANCED, - admission=A.LOSSY, + routing=ngc.CapacityAware(ngc.Tunnels(1)), placement=P.MAX_FLOW ), - "CapacityAware requires admission=LOSSLESS", + "T1 does not accept placement", ), - # C13, C14, Q6: the row, then the columns placement, origin, admission, selection. + # The row, then the columns placement, origin, admission, selection. ( ngc.FlowPolicyConfig( routing=ngc.Global(), @@ -218,7 +208,7 @@ def test_matrix_texts(config, message): def test_pinned_rows(): - # C8, C10, C12 for Pinned: no placement and no origin (its program has the injection). + # Pinned: no placement and no origin (its program has the injection). g = graph(B1) for config, message in ( ( @@ -237,13 +227,11 @@ def test_pinned_rows(): def test_cache_rule(): - # C11, C16: only CostOnly reads a DagCache; the table comes first. + # Only CostOnly reads a DagCache; the table comes first. g = graph(B1) cache = ngc.DagCache(g) pinned = pinned_route(g, 0, 3, [0]) - capacity_aware = ngc.FlowPolicyConfig( - routing=ngc.CapacityAware(), placement=P.MAX_FLOW - ) + capacity_aware = ngc.FlowPolicyConfig(routing=ngc.CapacityAware(ngc.Tunnels(1))) for config, sources, message in ( (glob(), [0, 1], "Global does not use DagCache"), (capacity_aware, [0, 1], "T1 does not use DagCache"), @@ -264,7 +252,6 @@ def test_cache_rule(): def test_endpoints_before_ownership(): - # C15. g = graph(B1) foreign = graph(B1).eligibility(excluded_nodes=[0]) with pytest.raises(ValueError, match="sources") as e: @@ -273,7 +260,6 @@ def test_endpoints_before_ownership(): def test_amount_texts(): - # C18, C19. _, _, p = fresh(ONE, 0, 1, cost_only()) for bad in (-1, 2**62, float("nan"), 1.5, -INF, True): with pytest.raises( @@ -294,20 +280,20 @@ def test_amount_texts(): assert p.place(1).placed == 1 -# -- the pooled single-path rule (Q12) ------------------------------------------------------ +# -- the pooled single-path rule ------------------------------------------------------------- -def test_q12(): +def test_pooled_single_path_rule(): g = graph(POOL) for placement in (P.EQUAL_BALANCED, P.WEIGHTED, P.MAX_FLOW): config = cost_only(placement, selection=PREFER_PATH) - # Q1, Q3: two input sources, also when the mask leaves one. + # Two input sources, also when the mask leaves one. for elig in (None, g.eligibility(excluded_nodes=[1])): - with pytest.raises(ValueError, match=exact(Q12)): + with pytest.raises(ValueError, match=exact(POOLED_PHP)): ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, config, elig) - with pytest.raises(ValueError, match=exact(Q12)): + with pytest.raises(ValueError, match=exact(POOLED_PHP)): ngc.capacity(g, [0, 1], 3, ngc.QueryOptions(config, elig=elig)) - # Q2: one source; Q4: multipath. + # One source; multipath. assert ngc.FlowPolicy(ngc.FlowLedger(g), [0, 0], 3, config).place(1).placed == 1 multipath = cost_only( placement, selection=sel(tie=ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY) @@ -315,9 +301,9 @@ def test_q12(): assert ( ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, multipath).place(2).placed == 2 ) - # Q7: batch_capacity checks each pair; pair 1 is the lowest failing. + # batch_capacity checks each pair; pair 1 is the lowest failing. opts = ngc.QueryOptions(cost_only(selection=PREFER_PATH)) - with pytest.raises(ValueError, match=exact(Q12)): + with pytest.raises(ValueError, match=exact(POOLED_PHP)): ngc.batch_capacity(g, [([0], 3), ([0, 1], 3)], opts) assert [r.placed for r in ngc.batch_capacity(g, [([0], 3), ([1], 3)], opts)] == [ 1, @@ -326,7 +312,7 @@ def test_q12(): def test_deterministic_single_paths_pool(): - # Q5: canonical paths 0: [e0, e2], 1: [e1, e2] (equal cost and hops, lower EdgeId e2). + # Canonical paths 0: [e0, e2], 1: [e1, e2] (equal cost and hops, lower EdgeId e2). det = sel(mp=False) _, _, p = fresh(POOL, [0, 1], 3, cost_only(selection=det)) r = p.place(INF) @@ -345,16 +331,40 @@ def test_deterministic_single_paths_pool(): @pytest.mark.parametrize( ("edges", "sources", "dest", "origin", "placed", "cost", "flows"), [ - (B1, [0, 1], 3, ORIGIN.EQUAL, 4, 8, [2, 2, 2]), # G1 B1-equal - (B1, [0, 1], 3, ORIGIN.OPTIMIZED, 12, 32, [2, 10, 10]), # G2 B1-optimized - (B2, [0, 1], 2, ORIGIN.EQUAL, 12, 16, [4, 2, 10]), # G3 B2-equal-global - (B2, [0, 1], 2, ORIGIN.OPTIMIZED, 12, 12, [0, 2, 10]), # G4 B2-optimized - (B2S, [0, 1], 2, ORIGIN.EQUAL, 4, 4, [2, 2]), # G5 B2-shortest - (B2S, [0, 1], 2, ORIGIN.OPTIMIZED, 12, 12, [2, 10]), # G5 T2-OPT-global - (B3Z, [0, 1], 2, ORIGIN.EQUAL, 0, 0, [0, 0]), # G6 B3-zero-first - (B3P, [0, 1], 2, ORIGIN.EQUAL, 1, 1, [1, 0]), # G6 B3-positive-first - (B3Z, [0, 1], 2, ORIGIN.OPTIMIZED, 10, 10, [0, 10]), # G6 - (ES, 0, 3, ORIGIN.OPTIMIZED, 12, 34, [2, 10, 2, 10]), # G7 E-support + (B1, [0, 1], 3, ORIGIN.EQUAL, 4, 8, [2, 2, 2]), # B1, equal + (B1, [0, 1], 3, ORIGIN.OPTIMIZED, 12, 32, [2, 10, 10]), # B1, optimized + (B2, [0, 1], 2, ORIGIN.EQUAL, 12, 16, [4, 2, 10]), # B2, equal + (B2, [0, 1], 2, ORIGIN.OPTIMIZED, 12, 12, [0, 2, 10]), # B2, optimized + ( + B2S, + [0, 1], + 2, + ORIGIN.EQUAL, + 4, + 4, + [2, 2], + ), # B2 on its shortest routes, equal + ( + B2S, + [0, 1], + 2, + ORIGIN.OPTIMIZED, + 12, + 12, + [2, 10], + ), # B2 on its shortest routes, optimized + (B3Z, [0, 1], 2, ORIGIN.EQUAL, 0, 0, [0, 0]), # a zero-capacity first source + (B3P, [0, 1], 2, ORIGIN.EQUAL, 1, 1, [1, 0]), # a positive first source + ( + B3Z, + [0, 1], + 2, + ORIGIN.OPTIMIZED, + 10, + 10, + [0, 10], + ), # a zero-capacity first source, optimized + (ES, 0, 3, ORIGIN.OPTIMIZED, 12, 34, [2, 10, 2, 10]), # a support ], ) def test_global_examples(edges, sources, dest, origin, placed, cost, flows): @@ -372,7 +382,7 @@ def test_global_examples(edges, sources, dest, origin, placed, cost, flows): def test_global_records_and_masks(): - # G1 rows; G3 records: source 0's 6 is 2 direct and 4 through node 1. + # The rows; the records: source 0's 6 is 2 direct and 4 through node 1. _, _, p = fresh(B1, [0, 1], 3, glob(ORIGIN.EQUAL)) assert rows(p.place(12)) == [(0, None, 2, 2, 0, 0), (1, None, 2, 2, 0, 0)] _, _, p = fresh(B2, [0, 1], 2, glob(ORIGIN.EQUAL)) @@ -381,19 +391,19 @@ def test_global_records_and_masks(): ([(0, 4), (1, 2), (2, 4)], 6), ([(2, 6)], 6), ] - # G6 B3-delete-zero: the masked source leaves the roster. + # The masked zero-capacity source leaves the roster. _, _, p = fresh( B3Z, [0, 1], 2, glob(ORIGIN.EQUAL), lambda g: g.eligibility(excluded_nodes=[0]) ) assert p.place(10).placed == 10 - # G11 R3-residual-optimal. + # The optimum on the residual. _, _, p = fresh(WIT, 0, 2, glob()) r = p.place(1, ngc.OutputOptions(edge_flows=True)) assert (r.edge_flows.tolist(), r.total_cost) == ([0, 1, 0], 1) def test_global_increments(): - # G8 R4-lossless-equal: 3 (RR(3) = (2, 1) fits), then the target 6 admits 4 (RR(5) puts + # Lossless with the equal origin: 3 (RR(3) = (2, 1) fits), then the target 6 admits 4 (RR(5) puts # 3 on e0 of 2): allocation (2, 2), cost 2 * 9 + 2 * 1. _, _, p = fresh(R4, [0, 1], 2, glob(ORIGIN.EQUAL)) a = p.place(3) @@ -410,7 +420,7 @@ def test_global_increments(): 6, 2, ) - # G9 R4-refusal: refused units are not offered again. + # Refused units are not offered again. g = graph(ONE) ledger = ngc.FlowLedger(g) other = ngc.FlowPolicy(ledger, 0, 1, cost_only()) @@ -420,7 +430,7 @@ def test_global_increments(): other.remove() other.place(5) assert p.place(1).placed == 1 - # G10: equal increments end where one call does (the final total solved from zero). + # Equal increments end where one call does (the final total solved from zero). _, _, one = fresh(B2, [0, 1], 2, glob(ORIGIN.EQUAL)) whole = one.place(12, ngc.OutputOptions(edge_flows=True)) _, _, two = fresh(B2, [0, 1], 2, glob(ORIGIN.EQUAL)) @@ -436,13 +446,13 @@ def test_global_increments(): @pytest.mark.parametrize( ("edges", "sources", "dest", "origin", "placed", "cost", "records"), [ - # M1, M2: one controller on the union of the sources' routes. + # One controller on the union of the sources' routes. (B1, [0, 1], 3, ORIGIN.OPTIMIZED, 12, 32, [[(0, 2)], [(1, 10), (2, 10)]]), (B1, [0, 1], 3, ORIGIN.EQUAL, 4, 8, [[(0, 2)], [(1, 2), (2, 2)]]), - # M3: the support leaves out e0 (0 -> 1 -> 2 costs 2). + # The support leaves out e0 (0 -> 1 -> 2 costs 2). (B2, [0, 1], 2, ORIGIN.EQUAL, 4, 4, [[(1, 2)], [(2, 2)]]), (B2, [0, 1], 2, ORIGIN.OPTIMIZED, 12, 12, [[(1, 2)], [(2, 10)]]), - # M4 E-support-shortest; M5: the support is the zero edge alone, never bypassed. + # A support on the shortest routes; a support that is the zero edge alone, never bypassed. (ES, 0, 3, ORIGIN.OPTIMIZED, 2, 4, [[(0, 2), (2, 2)]]), (SPF, 0, 1, ORIGIN.OPTIMIZED, 0, 0, [[]]), ], @@ -454,27 +464,26 @@ def test_cost_only_max_flow(edges, sources, dest, origin, placed, cost, records) term = T.COMPLETE if placed == request else T.EXHAUSTED assert (r.placed, r.termination, r.total_cost) == (placed, term, cost) assert [rec.edges for rec in p.records()] == records - # M7: no curve and no cut. + # No curve and no cut. assert (r.cost_distribution, r.min_cut) == (None, None) def test_cost_only_max_flow_increments(): - # M6. _, _, p = fresh(R4, [0, 1], 2, cost_only(P.MAX_FLOW, origin=ORIGIN.EQUAL)) assert [p.place(3).placed, p.place(3).placed] == [3, 1] assert p.place(0).total_cost == 20 def test_min_cut_flag(): - # G13 MINCUT-B1 and MINCUT-zero-edge. + # The minimum cut of B1 and of a zero-capacity edge. for edges, dest in ((B1, 3), (B3Z, 2)): _, _, p = fresh(edges, [0, 1], dest, glob()) assert p.place(INF, CUT).min_cut == [0, 1] - # G12: a zero maximum over existing routes is EXHAUSTED; its cut is the zero edge. + # A zero maximum over existing routes is EXHAUSTED; its cut is the zero edge. _, _, p = fresh(ZERO, 0, 1, glob()) r = p.place(5, CUT) assert (r.placed, r.termination, r.min_cut) == (0, T.EXHAUSTED, [0]) - # G14: bottleneck alone, the equal origin, a request below the maximum, a zero call. + # Bottleneck alone, the equal origin, a request below the maximum, a zero call. _, _, p = fresh(B1, [0, 1], 3, glob()) assert p.place(INF, ngc.OutputOptions(bottleneck=True)).min_cut is None _, _, p = fresh(B1, [0, 1], 3, glob(ORIGIN.EQUAL)) @@ -482,7 +491,7 @@ def test_min_cut_flag(): _, _, p = fresh(B1, [0, 1], 3, glob()) assert p.place(5, CUT).min_cut is None assert p.place(0, CUT).min_cut is None - # G15: an empty roster. + # An empty roster. _, _, p = fresh([(1, 0, 5, 1)], 0, 1, glob()) r = p.place(5, CUT) assert (r.termination, r.min_cut, r.cost_distribution, r.total_cost) == ( @@ -540,7 +549,7 @@ def test_total_cost_beyond_64_bits(edges, sources, dest, optimized, equal): @pytest.mark.parametrize("routing", ["costonly", "global"]) def test_zero_unprepared(routing): - # I5 RC02-zero-unprepared; I6: after a positive call and after remove(). + # A zero call before the preparation; after a positive call and after remove(). config = cost_only() if routing == "costonly" else glob() g, ledger, p = fresh(PAR, 0, 1, config, residual=[4, 6]) @@ -579,7 +588,7 @@ def unprepared(r): def test_result_accounting(): - # S2: G1 Lossless. + # B1, equal origin, Lossless. _, _, p = fresh(B1, [0, 1], 3, glob(ORIGIN.EQUAL)) r = p.place(12) assert (r.requested, r.offered, r.admitted, r.delivered, r.unadmitted) == ( @@ -602,7 +611,7 @@ def test_result_accounting(): 0, 4, ) - # S5: a row for every input source: 4 is masked, 1 has no route. + # A row for every input source: 4 is masked, 1 has no route. _, _, p = fresh( ROWS, [0, 1, 4], 3, cost_only(), lambda g: g.eligibility(excluded_nodes=[4]) ) @@ -611,42 +620,29 @@ def test_result_accounting(): (1, None, 0, 0, 0, 0), (4, None, 0, 0, 0, 0), ] - # S6: total_cost only for the controllers. + # total_cost only for the controllers. g = graph(B1) - for config in ( - cost_only(), - cost_only(P.WEIGHTED), - ngc.FlowPolicyConfig(routing=ngc.CapacityAware(), placement=P.EQUAL_BALANCED), - ): + for config in (cost_only(), cost_only(P.WEIGHTED)): assert ( ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, config).place(1).total_cost is None ) + t1 = ngc.FlowPolicyConfig(routing=ngc.CapacityAware(ngc.Tunnels(1))) + assert ( + ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, t1).replace(1).total_cost is None + ) pinned = pinned_route(g, 0, 3, [0]) assert ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, pinned).place(1).total_cost is None support = ngc.FlowPolicyConfig(routing=ngc.Global(support=dag_of(g, [0]))) assert ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, support).place(1).total_cost == 1 -def test_capacity_aware_and_pinned_in_the_new_shape(): - # S7: CapacityAware keeps its per-source computation: offers 6 and 6. - config = ngc.FlowPolicyConfig( - routing=ngc.CapacityAware(), placement=P.EQUAL_BALANCED - ) - _, _, p = fresh(B1, [0, 1], 3, config) - r = p.place(12) - assert (r.placed, r.termination, r.requested, r.unadmitted) == ( - 8, - T.EXHAUSTED, - 12, - 4, - ) - assert rows(r) == [(0, None, 2, 2, 0, 0), (1, None, 6, 6, 0, 0)] - # S8: Weighted over the zero edge has no member: its offer is lost at the source. +def test_pinned_in_the_new_shape(): + # Weighted over the zero edge has no member: its offer is lost at the source. g = graph(ZERO) for placement, want in ( (P.WEIGHTED, (0, T.NO_ACTIVE_WEIGHT, 2, [], (0, 2, 2, 0, 2, 0))), - (P.EQUAL_BALANCED, (0, T.COMPLETE, 0, [(0, 2)], (0, 2, 2, 0, 0, 2))), # S9 + (P.EQUAL_BALANCED, (0, T.COMPLETE, 0, [(0, 2)], (0, 2, 2, 0, 0, 2))), ): config = pinned_route(g, 0, 1, [0], placement=placement, admission=A.LOSSY) r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, config).place(2) @@ -661,26 +657,26 @@ def test_capacity_aware_and_pinned_in_the_new_shape(): def test_terminations(): - # T1, T2: an empty roster (no edge reaches 1 from 0). + # An empty roster (no edge reaches 1 from 0). for config in (glob(), cost_only(), cost_only(admission=A.LOSSY)): _, _, p = fresh([(1, 0, 5, 1)], 0, 1, config) assert p.place(0).termination == T.COMPLETE r = p.place(5) assert (r.placed, r.termination) == (0, T.NO_ROUTE) if config.admission == A.LOSSY: - # O2: nothing enters: the offer is all source loss and the row stays zero. + # Nothing enters: the offer is all source loss and the row stays zero. assert (r.offered, r.source_loss, r.call_source_loss) == (5, 5, 5) assert rows(r) == [(0, 0, 0, 0, 0, 0)] else: assert (r.offered, r.unadmitted) == (None, 5) - # T3: weighted splitting over the zero edge: no positive weight. + # Weighted splitting over the zero edge: no positive weight. _, _, p = fresh(ZERO, 0, 1, cost_only(P.WEIGHTED, A.LOSSY)) r = p.place(2) assert (r.termination, r.call_source_loss, r.offered) == (T.NO_ACTIVE_WEIGHT, 2, 2) _, _, p = fresh(ZERO, 0, 1, cost_only(P.WEIGHTED)) r = p.place(2) assert (r.termination, r.unadmitted) == (T.NO_ACTIVE_WEIGHT, 2) - # T6: a controller at zero over existing routes. + # A controller at zero over existing routes. for config in (glob(), cost_only(P.MAX_FLOW)): _, _, p = fresh( SPF if config.routing.__class__ is ngc.CostOnly else ZERO, 0, 1, config @@ -689,7 +685,6 @@ def test_terminations(): def test_result_objects(): - # S11. _, _, p = fresh(B1, [0, 1], 3, glob(ORIGIN.EQUAL)) r = p.place(INF) assert isinstance(r.by_source, tuple) and all( @@ -709,7 +704,6 @@ def test_result_objects(): def test_evaluators(): g = graph(B1) - # V1, V2. for config, placed in ( (glob(ORIGIN.EQUAL), 4), (glob(), 12), @@ -718,7 +712,6 @@ def test_evaluators(): (cost_only(), 4), ): assert ngc.capacity(g, [0, 1], 3, ngc.QueryOptions(config)).placed == placed - # V3, V4. assert ( ngc.capacity(graph(POOL), [0, 1], 3, ngc.QueryOptions(cost_only())).placed == 2 ) @@ -731,11 +724,11 @@ def test_evaluators(): INF, T.EXHAUSTED, ) - # V5. pairs = [([0, 1], 3), (0, 3), (1, 3)] got = ngc.batch_capacity(g, pairs, ngc.QueryOptions(glob(ORIGIN.EQUAL))) assert [x.placed for x in got] == [4, 2, 10] - # V6 B3-delete-zero: every allowed edge is a candidate under the equal origin. + # Deleting the zero-capacity edge e0 takes source 0 out of the roster: every allowed edge is a + # candidate under the equal origin. for workers in (1, 2): s = ngc.sensitivity( graph(B3Z), [0, 1], 2, ngc.QueryOptions(glob(ORIGIN.EQUAL)), workers @@ -744,7 +737,7 @@ def test_evaluators(): 0, [(0, -10), (1, 0)], ) - # V7: pooled CostOnly: deleting e0 takes source 0 out of the roster. + # Pooled CostOnly: deleting e0 takes source 0 out of the roster. s = ngc.sensitivity(g, [0, 1], 3, ngc.QueryOptions(cost_only())) assert (s.baseline.placed, [(e.edge, e.loss) for e in s.entries]) == ( 4, @@ -775,7 +768,7 @@ def random_controller_case(rng): @pytest.mark.parametrize("seed", range(300)) def test_controllers_random(seed): - # G16, M8: Global and CostOnly MAX_FLOW under both origins on random graphs with masks and + # Global and CostOnly MAX_FLOW under both origins on random graphs with masks and # nonuniform costs: the delivery, the minimum cost and (equal) the supplies RR(T) equal the # references; increments re-solve the admitted total plus the request. rng = random.Random(seed) diff --git a/tests/py/test_pooled.py b/tests/py/test_pooled.py index 3f87233..f577070 100644 --- a/tests/py/test_pooled.py +++ b/tests/py/test_pooled.py @@ -1,8 +1,7 @@ """Pooled CostOnly sources (docs/semantics.md, section 7): one split per shared router, attribution to sources by highest averages, the equal origin's entry that cannot pass anything, Lossy forwarding through a source, weights read once per epoch, the first-hop experiment, -increments and epochs. The values are derived by hand (dev/design step-2 LEDGER rows P1 to P17 -and I1 to I4); the random tests compare every field with the independent reference of +increments and epochs. The values are derived by hand; the random tests compare every field with the independent reference of ``origin_oracle.py`` and check that each source's record uses only its own route.""" from __future__ import annotations @@ -66,7 +65,7 @@ def records(p): def test_b_pooled(): - # P1: RR(2, 2) = (1, 1) injected; router 2 holds 2 and splits (1, 1) over e2, e3; e2's unit + # RR(2, 2) = (1, 1) injected; router 2 holds 2 and splits (1, 1) over e2, e3; e2's unit # goes to source 0 by H(1, [1, 1]) = [1, 0], e3's to source 1. Split separately, both units # would take e2 (capacity 1) and only 1 would fit. _, _, p = policy(POOL, [0, 1], 3, cfg()) @@ -78,18 +77,18 @@ def test_b_pooled(): ) assert rows(r) == [(0, None, 1, 1, 0, 0), (1, None, 1, 1, 0, 0)] assert records(p) == [([0], [(0, 1), (2, 1)], 1), ([1], [(1, 1), (3, 1)], 1)] - # P2: 3 would give e2 two units: the unlimited request admits 2. + # 3 would give e2 two units: the unlimited request admits 2. _, _, p = policy(POOL, [0, 1], 3, cfg()) r = p.place(INF) assert (r.placed, r.remaining, r.termination) == (2, INF, T.EXHAUSTED) assert (r.requested, r.unadmitted, r.offered) == (INF, None, None) - # P3: capacity weights (1, 1) are equal: highest averages is the round robin. + # Capacity weights (1, 1) are equal: highest averages is the round robin. _, _, p = policy(POOL, [0, 1], 3, cfg(W)) assert p.place(2).placed == 2 def test_lossy_attribution_by_arrivals(): - # P4: injections (2, 2); router 2 holds 4: (2, 2) over e2, e3, each attributed + # Injections (2, 2); router 2 holds 4: (2, 2) over e2, e3, each attributed # H(2, [2, 2]) = [1, 1] (then [1, 1] remain for e3); each edge carries 1 of its 2 arrivals, # H(1, [1, 1]) = [1, 0]: source 0 delivers 2, source 1 drops one unit on each. _, _, p = policy(POOL, [0, 1], 3, cfg(admission=LOSSY)) @@ -102,22 +101,22 @@ def test_lossy_attribution_by_arrivals(): @pytest.mark.parametrize( ("edges", "lossless"), [(B3Z, 0), (B3P, 1)], - ids=["B3-zero-first", "B3-positive-first"], + ids=["zero-first", "positive-first"], ) -def test_b3(edges, lossless): - # P5, P6: Lossless admits a total only when it gives the source behind the zero edge +def test_pooled_source_behind_a_zero_link(edges, lossless): + # Lossless admits a total only when it gives the source behind the zero edge # nothing: RR(1) gives source 0 the unit, RR(2) gives source 1 one. _, _, p = policy(edges, [0, 1], 2, cfg()) r = p.place(10) assert (r.placed, r.termination) == (lossless, T.EXHAUSTED) assert [rec.delivered for rec in p.records()] == [lossless, 0] - # P9: the same with weights: a share without a usable route is not admitted. + # The same with weights: a share without a usable route is not admitted. _, _, p = policy(edges, [0, 1], 2, cfg(W)) assert p.place(10).placed == lossless def test_lossy_entry_that_cannot_pass(): - # P7: EB keeps the zero edge and drops source 0's 5 there. + # EB keeps the zero edge and drops source 0's 5 there. _, _, p = policy(B3Z, [0, 1], 2, cfg(admission=LOSSY)) r = p.place(10) assert (r.placed, r.termination, r.call_drops, r.call_source_loss) == ( @@ -126,7 +125,7 @@ def test_lossy_entry_that_cannot_pass(): [(0, 5)], 0, ) - # P8: W gives the zero edge weight 0: source 0 has no member, its 5 is lost at the source. + # W gives the zero edge weight 0: source 0 has no member, its 5 is lost at the source. _, _, p = policy(B3Z, [0, 1], 2, cfg(W, LOSSY)) r = p.place(10) assert (r.placed, r.termination, r.call_drops, r.call_source_loss) == ( @@ -140,30 +139,30 @@ def test_lossy_entry_that_cannot_pass(): def test_equal_origin_limits_the_total(): - # P10: RR(5, 2) = (3, 2) would put 3 on e0 (capacity 2): 4, rows (2, 2). + # RR(5, 2) = (3, 2) would put 3 on e0 (capacity 2): 4, rows (2, 2). _, _, p = policy(B1, [0, 1], 3, cfg()) r = p.place(12) assert (r.placed, r.termination) == (4, T.EXHAUSTED) assert [x.delivered for x in r.by_source] == [2, 2] - # P11: Lossy offers (6, 6): source 0 drops 4 on e0. + # Lossy offers (6, 6): source 0 drops 4 on e0. _, _, p = policy(B1, [0, 1], 3, cfg(admission=LOSSY)) r = p.place(12) assert (r.placed, r.call_drops) == (8, [(0, 4)]) def test_transit_through_a_source(): - # P12: injections (5, 5); e1 carries source 1's 5 to node 0, which holds 10 for e0 (3): + # Injections (5, 5); e1 carries source 1's 5 to node 0, which holds 10 for e0 (3): # carried H(3, [5, 5]) = [2, 1]. _, _, p = policy(CHAIN, [0, 1], 2, cfg(admission=LOSSY)) r = p.place(10) assert (r.placed, r.call_drops) == (3, [(0, 7)]) assert rows(r) == [(0, 5, 5, 2, 0, 3), (1, 5, 5, 1, 0, 4)] assert records(p) == [([0], [(0, 2)], 2), ([1], [(0, 1), (1, 5)], 1)] - # P13: Lossless: e0 carries the whole total, so 3, as RR(3) = (2, 1). + # Lossless: e0 carries the whole total, so 3, as RR(3) = (2, 1). _, _, p = policy(CHAIN, [0, 1], 2, cfg()) r = p.place(INF) assert (r.placed, [x.delivered for x in r.by_source]) == (3, [2, 1]) - # P17: the first-hop experiment: source 0 injects e0's 3, source 1 e1's 10; node 0 adds + # The first-hop experiment: source 0 injects e0's 3, source 1 e1's 10; node 0 adds # source 1's 10 of transit on e0: arrivals (3, 10), carried H(3, [3, 10]) = [0, 3]. _, _, p = policy(CHAIN, [0, 1], 2, cfg(admission=LOSSY)) r = p.place(INF) @@ -178,7 +177,7 @@ def test_transit_through_a_source(): def test_residual_weights_on_the_common_view(): - # P14: weights read once, on the residual at the first positive call's entry: e2 2, e3 10; + # Weights read once, on the residual at the first positive call's entry: e2 2, e3 10; # router 2: H(12, [2, 10]) = (2, 10); RR(12) = (6, 6); each member attributed by highest # averages over what the sources still hold: e2 H(2, [6, 6]) = [1, 1], e3 H(10, [5, 5]). _, _, p = policy( @@ -193,7 +192,7 @@ def test_residual_weights_on_the_common_view(): def test_weights_frozen_for_the_epoch(): - # P15: another owner holds 8 of e2 at the first call: weights (2, 10) for the epoch, also + # Another owner holds 8 of e2 at the first call: weights (2, 10) for the epoch, also # after the owner leaves (weights read again would give [6, 6, 6, 6]). g = build(4, SNAP) ledger = ngc.FlowLedger(g) @@ -208,7 +207,7 @@ def test_weights_frozen_for_the_epoch(): def test_first_hop_experiment(): - # P16: every source injects its first edges' residual: 4 + 6. + # Every source injects its first edges' residual: 4 + 6. _, _, p = policy(PRIV, [0, 1], 2, cfg(admission=LOSSY)) r = p.place(INF) assert (r.placed, r.termination, r.requested, r.offered) == ( @@ -228,7 +227,7 @@ def test_first_hop_experiment(): def test_inc(): - # I1: RR(3) = (2, 1) does not fit e0 (1): call 1 admits 2; call 2 targets 3 again: 0. + # RR(3) = (2, 1) does not fit e0 (1): call 1 admits 2; call 2 targets 3 again: 0. _, _, p = policy(INC, [0, 1], 2, cfg()) a, b = p.place(3), p.place(1) assert (a.placed, a.termination, b.placed, b.termination) == ( @@ -238,7 +237,7 @@ def test_inc(): T.EXHAUSTED, ) assert (b.requested, b.admitted, b.unadmitted, b.offered) == (4, 2, 2, None) - # I2: Lossy: call 1 injects (2, 1) and drops 1 on e0; call 2 injects RR(4) - RR(3) = (0, 1). + # Lossy: call 1 injects (2, 1) and drops 1 on e0; call 2 injects RR(4) - RR(3) = (0, 1). _, _, p = policy(INC, [0, 1], 2, cfg(admission=LOSSY)) a, b = p.place(3), p.place(1) assert (a.placed, a.call_drops, b.placed, b.call_drops) == (2, [(0, 1)], 1, []) @@ -250,7 +249,7 @@ def test_inc(): 0, ) assert rows(b) == [(0, 2, 2, 1, 0, 1), (1, 2, 2, 2, 0, 0)] - # I3: another owner holds 8 of 10: call 1 admits 2; it leaves and places 5; call 2 targets + # Another owner holds 8 of 10: call 1 admits 2; it leaves and places 5; call 2 targets # 3 on the free 3 plus the policy's own 2. g = build(2, ONE) ledger = ngc.FlowLedger(g) @@ -262,7 +261,7 @@ def test_inc(): other.place(5) r = p.place(1) assert (r.placed, r.requested, r.admitted, r.unadmitted) == (1, 6, 3, 3) - # I4: two parallel unit edges: Lossy 1 then 1 drops the second unit on e0 (RR(1) again); + # Two parallel unit edges: Lossy 1 then 1 drops the second unit on e0 (RR(1) again); # one call of 2 carries both; Lossless 1 then 1 fills both. _, _, p = policy(RC, 0, 1, cfg(admission=LOSSY)) assert [p.place(1).placed, p.place(1).placed] == [1, 0] @@ -314,10 +313,10 @@ def compare(where, r, want, p): @pytest.mark.parametrize("seed", range(400)) def test_random_against_reference(seed): - # P19: random graphs with masks, zero-capacity edges, nonuniform costs and a partial + # Random graphs with masks, zero-capacity edges, nonuniform costs and a partial # residual; EB and W (capacity or residual weights), both admissions, multipath or the # canonical path; a series of calls. Every field equals the reference, the accounting - # identities hold, and (P18) each record's edges lie in its own route. + # identities hold, and each record's edges lie in its own route. rng = random.Random(seed) n, edges, sources, dests = random_case(rng) g = build(n, edges) diff --git a/tests/py/test_programs.py b/tests/py/test_programs.py index 6beccb7..62274a0 100644 --- a/tests/py/test_programs.py +++ b/tests/py/test_programs.py @@ -1,9 +1,9 @@ -"""Forwarding programs (step 3): what every model exports, Global with a support, the weight +"""Forwarding programs: what every model exports, Global with a support, the weight bases, ForwardingProgram.from_routes, Pinned over programs, the lossless bound, the loss rule inside one program (cycles included), replay under a failure mask, stale forwarding with black holes, the operations evaluate, replace and forward with their epochs and flags, the per-entry -records and the by_tunnel rows. Every expected value is derived by hand from the contract's rules -(the step's ledger, rows named in each test); none is read from a build. The independent +records and the by_tunnel rows. Every expected value is derived by hand from the contract's rules; +none is read from a build. The independent reference of the property tests is program_oracle.py.""" from __future__ import annotations @@ -152,7 +152,7 @@ def cyc(x, y): def test_global_export(): - # P1, P2, Z2: B1, Global optimized and equal, place(12). + # B1, Global optimized and equal, place(12). g = graph(4, B1) p = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, global_()) r = p.place(12) @@ -176,7 +176,7 @@ def test_global_export(): def test_single_source_decomposed(): - # P3: one source is decomposed too (R12); P4: CostOnly MAX_FLOW. + # One source is decomposed too; CostOnly MAX_FLOW. g = graph(4, ES) r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, global_()).place(12) assert listing(r.program) == [(0, [0, 2], 2), (0, [1, 3], 10)] @@ -191,7 +191,7 @@ def test_single_source_decomposed(): def test_cost_only_split_program(): - # P5, Z3: a CostOnly split program lists no tunnel. + # A CostOnly split program lists no tunnel. g = graph(4, POOL2) r = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, cost_only()).place(2) assert r.program.tunnels == () @@ -201,12 +201,12 @@ def test_cost_only_split_program(): def test_zero_supply_kept_and_lifecycle(): - # P7: every roster source has a source weight, zero included (R20). + # Every roster source has a source weight, zero included. g = graph(3, [(0, 2, 5), (1, 2, 5)]) r = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, global_()).place(1) assert listing(r.program) == [(0, [0], 1)] assert r.program.source_weights == ((0, 1), (1, 0)) - # P8, O15, Z4: none before the first positive call and after remove(). + # None before the first positive call and after remove(). p = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, global_()) assert p.program is None z = p.place(0) @@ -215,19 +215,10 @@ def test_zero_supply_kept_and_lifecycle(): assert p.program is not None p.remove() assert p.program is None and p.place(0).program is None - # P9: today's CapacityAware has no program (O1). - ca = ngc.FlowPolicy( - ngc.FlowLedger(graph(2, ONE)), - 0, - 1, - ngc.FlowPolicyConfig(routing=ngc.CapacityAware(), placement=EB), - ) - r = ca.place(5) - assert r.placed == 5 and r.program is None and ca.program is None def test_replay_reproduces_the_solve_and_keeps_the_mask(): - # P10: B1's optimized program forwarded by Pinned reproduces the solve. + # B1's optimized program forwarded by Pinned reproduces the solve. g = graph(4, B1) prog = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, global_()).place(12).program p = pinned(g, prog) @@ -235,9 +226,9 @@ def test_replay_reproduces_the_solve_and_keeps_the_mask(): assert (r.placed, r.termination) == (12, T.COMPLETE) assert r.edge_flows.tolist() == [2, 10, 10] assert pinned(g, prog).place(INF).placed == 12 - # P6: the policy's program is the configured one. + # The policy's program is the configured one. assert listing(p.program) == listing(prog) and listing(r.program) == listing(prog) - # P11: the producer's mask is saved: no replay brings source 1 back. + # The producer's mask is saved: no replay brings source 1 back. masked = ngc.FlowPolicy( ngc.FlowLedger(g), [0, 1], 3, global_(), g.eligibility(excluded_nodes=[1]) ).place(12) @@ -247,7 +238,7 @@ def test_replay_reproduces_the_solve_and_keeps_the_mask(): def test_empty_roster_program(): - # P12: an empty roster installs an empty program (R22). + # An empty roster installs an empty program. g = graph(2, ONE) p = ngc.FlowPolicy( ngc.FlowLedger(g), 0, 1, cost_only(), g.eligibility(excluded_nodes=[0]) @@ -262,7 +253,7 @@ def test_empty_roster_program(): def test_global_support(): - # GS1, GS2: only the trimmed support carries traffic. + # Only the trimmed support carries traffic. g = graph(4, ES) r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, global_(support=dag(g, [1, 3]))).place( 12, ngc.OutputOptions(min_cut=True) @@ -275,7 +266,7 @@ def test_global_support(): ngc.FlowLedger(g), 0, 3, global_(support=dag(g, [0, 1, 3])) ).place(12, ngc.OutputOptions(edge_flows=True)) assert r2.placed == 10 and r2.edge_flows.tolist() == [0, 10, 0, 10] - # GS3: the mask removes the support: an empty roster. + # The mask removes the support: an empty roster. r3 = ngc.FlowPolicy( ngc.FlowLedger(g), 0, @@ -284,7 +275,7 @@ def test_global_support(): g.eligibility(excluded_edges=[3]), ).place(12) assert (r3.termination, r3.placed, r3.program.tunnels) == (T.NO_ROUTE, 0, ()) - # GS4: the equal origin on a support. + # The equal origin on a support. b2 = graph(3, B2) r4 = ngc.FlowPolicy( ngc.FlowLedger(b2), [0, 1], 2, global_(ngc.Origin.EQUAL, dag(b2, [1, 2])) @@ -293,13 +284,13 @@ def test_global_support(): def test_global_support_wide_cost_and_ownership(): - # GS6, Z6: total_cost above 2^64. + # total_cost above 2^64. g = graph(2, [(0, 1, 1 << 40, 1 << 30)]) r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, global_(support=dag(g, [0]))).place( 1 << 40 ) assert r.total_cost == 1 << 70 - # GS7: a support of another graph. + # A support of another graph. other = graph(2, [(0, 1, 1)]) with pytest.raises(ValueError, match=exact("support belongs to another graph")): ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, global_(support=dag(other, [0]))) @@ -309,7 +300,7 @@ def test_global_support_wide_cost_and_ownership(): def test_explicit_weights(): - # W1, W12: E-configured. + # Configured (explicit) weights. g = par2(10, 10) cfg = cost_only(W, LOSSY, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[1, 2]) r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg).place( @@ -323,18 +314,18 @@ def test_explicit_weights(): ll = cost_only(W, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[1, 2]) assert ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, ll).place(INF).placed == 15 assert ngc.capacity(g, 0, 1, ngc.QueryOptions(ll)).placed == 15 - # W4: a positive weight on an edge of capacity 0 becomes 0. + # A positive weight on an edge of capacity 0 becomes 0. z = par2(0, 10) cfg = cost_only(W, LOSSY, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[5, 1]) r = ngc.FlowPolicy(ngc.FlowLedger(z), 0, 1, cfg).place(7) assert (r.placed, r.call_drops) == (7, []) - # W5: a zero weight prunes. + # A zero weight prunes. cfg = cost_only(W, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[0, 3]) assert ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg).place(12).placed == 10 cfg = cost_only(W, LOSSY, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[0, 3]) r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg).place(12) assert (r.placed, r.call_drops) == (10, [(1, 2)]) - # W6: every weight 0. + # Every weight 0. for adm, loss in ((LOSSY, 5), (LOSSLESS, 0)): cfg = cost_only(W, adm, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[0, 0]) r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg).place(5) @@ -342,7 +333,7 @@ def test_explicit_weights(): def test_snapshot_weights(): - # W2, W3, W8: E-snapshot, the priority is no weight, the snapshot is frozen. + # Snapshot weights: the priority is no weight, the snapshot is frozen. g = par2(10, 10) def policy(admission, **fields): @@ -359,7 +350,7 @@ def policy(admission, **fields): assert r1.edge_flows.tolist() == [2, 10] r2 = p.place(6) assert (r2.placed, r2.call_drops, r2.call_source_loss) == (0, [(0, 1), (1, 5)], 0) - # W7: Weighted with the Headroom priority is accepted (CostOnly). + # Weighted with the Headroom priority is accepted (CostOnly). sel = ngc.PathSelection( ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, ngc.EdgePriority.HEADROOM, False ) @@ -367,7 +358,6 @@ def policy(admission, **fields): def test_weight_texts(): - # W9, W10. g = par2(10, 10) ledger = ngc.FlowLedger(g) cases = [ @@ -392,8 +382,7 @@ def test_weight_texts(): ), ( ngc.FlowPolicyConfig( - routing=ngc.CapacityAware(), - placement=EB, + routing=ngc.CapacityAware(ngc.Tunnels(1)), weights=ngc.WeightBasis.CAPACITY, ), "T1 does not accept weights", @@ -434,7 +423,6 @@ def test_weight_texts(): def test_from_routes_texts(): - # F1 to F22. g = par2(4, 8) p0 = path(g, [0]) d01 = dag(g, [0, 1]) @@ -592,7 +580,7 @@ def raises(text, *args, **kwargs): ) with pytest.raises(ValueError): ngc.Route(0, p0, weight=True) - # F23: the routes in list order, each route's checks in order. + # The routes in list order, each route's checks in order. raises( "routes[0]: weight must be an integer in [0, 2^62)", [0], @@ -602,7 +590,6 @@ def raises(text, *args, **kwargs): def test_from_routes_entries(): - # F24, F25, F26. g = par2(4, 8) prog = ngc.ForwardingProgram.from_routes( g, [0], [1], [ngc.Route(0, path(g, [0]), weight=0), ngc.Route(0, path(g, [1]))] @@ -632,7 +619,6 @@ def test_from_routes_entries(): def test_pinned_texts(): - # C1 to C5, C7, C8. g = par2(4, 8) prog = tunnels(g, [0], [1], [(0, [0], 1)]) ledger = ngc.FlowLedger(g) @@ -687,7 +673,7 @@ def test_pinned_texts(): ngc.Pinned([dag(g, [0])]) with pytest.raises(TypeError): ngc.Pinned(None) - # C8: several sources and destinations. + # Several sources and destinations. d = graph(4, REL) many = tunnels(d, [0, 1], [3], [(0, [0, 2], 1), (1, [1, 2], 1)]) assert pinned(d, many).place(INF).placed == 10 @@ -704,9 +690,9 @@ def bound(g, specs, sources=(0,), destinations=(1,)): ) -def test_e_examples(): - # L1 to L7: E-duplicates, E-deduplicated, E-static-path-fill, E-zero-first, E-zero-last, - # E-support-pinned-bound, weighted tunnels. +def test_lossless_bound_examples(): + # Duplicate routes, deduplicated routes, a static path filled, a zero first or last link, a + # support's Pinned bound, weighted tunnels. assert bound(par2(4, 8), [(0, [0], 1), (0, [1], 1), (0, [1], 1)]) == 12 assert bound(par2(4, 8), [(0, [0], 1), (0, [1], 1)]) == 8 assert bound(par2(6, 4), [(0, [0], 1), (0, [1], 1)]) == 9 @@ -717,7 +703,7 @@ def test_e_examples(): def test_duplicates_and_zero_weight_records(): - # L1, D2: three records, entries 0, 1, 2; L8, D3: a weight-0 tunnel's record exists. + # Three records, entries 0, 1, 2; a weight-0 tunnel's record exists. g = par2(4, 8) p = pinned(g, tunnels(g, [0], [1], [(0, [0], 1), (0, [1], 1), (0, [1], 1)])) r = p.place(12) @@ -733,7 +719,7 @@ def test_duplicates_and_zero_weight_records(): def test_increments(): - # L9, L10: INC-lossless, INC-lossy. + # Increments, Lossless and Lossy. g = graph(3, INC) prog = tunnels(g, [0, 1], [2], [(0, [0], 1), (1, [1], 1)]) p = pinned(g, prog) @@ -742,7 +728,7 @@ def test_increments(): r1 = q.place(3) assert (r1.placed, r1.call_drops) == (2, [(0, 1)]) assert q.place(1).placed == 1 - # L11: INC-lossless-refusal. + # A Lossless increment's refused units. one = graph(2, ONE) ledger = ngc.FlowLedger(one) other = ngc.FlowPolicy(ledger, 0, 1, cost_only()) @@ -755,7 +741,6 @@ def test_increments(): def test_infinite_and_mixed(): - # L12, L13, L14. g = par2(6, 4) prog = tunnels(g, [0], [1], [(0, [0], 1), (0, [1], 1)]) r = pinned(g, prog).place(INF) @@ -774,7 +759,7 @@ def test_infinite_and_mixed(): def test_split_contexts(): - # L15: E-split-contexts and E-split-contexts-pooled. + # Each identical split route splits in its own context, also pooled. g = par2(1, 1) d = dag(g, [0, 1]) prog = ngc.ForwardingProgram.from_routes( @@ -799,29 +784,29 @@ def lossy_rows(g, sources, destinations, specs, offer, **kw): def test_loss_rule(): one9 = graph(2, [(0, 1, 9)]) r, got = lossy_rows(one9, [0], [1], [(0, [0], 2), (0, [0], 1)], 12) - assert got == [(8, 6, 2), (4, 3, 1)] # Y1 D-merge + assert got == [(8, 6, 2), (4, 3, 1)] # two entries merge on one link one1 = graph(2, [(0, 1, 1)]) _, got = lossy_rows(one1, [0], [1], [(0, [0], 1), (0, [0], 1)], 2) - assert got == [(1, 1, 0), (1, 0, 1)] # Y2 D-key-tie + assert got == [(1, 1, 0), (1, 0, 1)] # a tie of the split keys one3 = graph(2, [(0, 1, 3)]) _, got = lossy_rows(one3, [0], [1], [(0, [0], 5), (0, [0], 1), (0, [0], 1)], 7) - assert got == [(5, 3, 2), (1, 0, 1), (1, 0, 1)] # Y3 D-rounding + assert got == [(5, 3, 2), (1, 0, 1), (1, 0, 1)] # the rounding of the split hier = graph(4, HIER) _, got = lossy_rows( hier, [0, 1], [3], [(0, [0, 2], 1), (0, [0, 2], 1), (1, [1, 2], 1)], 4 ) - assert [d for _, d, _ in got] == [1, 0, 0] # Y4 D-hierarchy + assert [d for _, d, _ in got] == [1, 0, 0] # the split hierarchy zero = graph(2, [(0, 1, 0)]) r, got = lossy_rows(zero, [0], [1], [(0, [0], 1)], 2) - assert got == [(2, 0, 2)] and r.call_drops == [(0, 2)] # Y5 D-zero-service + assert got == [(2, 0, 2)] and r.call_drops == [(0, 2)] # a link of service 0 r, got = lossy_rows( graph(4, PINLOSS), [0], [3], [(0, [0, 2], 1), (0, [1, 3], 1)], 12 ) - assert got == [(6, 2, 4), (6, 6, 0)] and r.call_drops == [(2, 4)] # Y8, Z1 + assert got == [(6, 2, 4), (6, 6, 0)] and r.call_drops == [(2, 4)] def test_subdivision(): - # Y6, Y7: D-subdivision-before/-after: a gate of 1, then three own links of 1. + # Subdividing a link before or after: a gate of 1, then three own links of 1. before = graph( 6, [(0, 1, 1), (1, 2, 1), (1, 3, 1), (1, 4, 1), (2, 5, 1), (3, 5, 1), (4, 5, 1)] ) @@ -857,15 +842,15 @@ def test_subdivision(): def test_cycles(): - # Y9: D-cycle-compressed analogue: no link can drop. + # A compressed cycle: no link can drop. g = cyc(2, 2) _, got = lossy_rows(g, [4], [5], [(4, CYC_T0, 1), (4, CYC_T1, 1)], 2) assert [d for _, d, _ in got] == [1, 1] - # Y10: the rounds from zero settle at round 3. + # The rounds from zero settle at round 3. g = cyc(1, 1) r, got = lossy_rows(g, [4], [5], [(4, CYC_T0, 1), (4, CYC_T1, 1)], 2) assert got == [(1, 1, 0), (1, 0, 1)] and r.call_drops == [(3, 1)] - # Y11: period two. + # Period two. g = cyc(1, 2) ledger = ngc.FlowLedger(g) p = pinned( @@ -880,7 +865,7 @@ def test_cycles(): ledger.residual().tolist(), len(p.records()), ) == before and p.program is None - # Y12: the round limit (64 * 3 rounds for three barriers). + # The round limit (64 * 3 rounds for three barriers). lim = graph( 8, [ @@ -909,7 +894,7 @@ def test_cycles(): def test_cycle_subdivision(): - # Y13, Y14: CYCS: Y split in two in series (e3: 2 -> 6, e8: 6 -> 3). + # CYCS: Y split in two in series (e3: 2 -> 6, e8: 6 -> 3). def cycs(x, y, z): return graph( 7, @@ -940,7 +925,7 @@ def cycs(x, y, z): def test_replay(): - # R1, R5, D4: a Global program replayed with its first path failed. + # A Global program replayed with its first path failed. g = graph(4, G1U) prog = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, global_()).replace(12).program assert listing(prog) == [(0, [0, 2], 2), (0, [1, 3], 10)] @@ -954,7 +939,7 @@ def test_replay(): zero = ngc.FlowLedger(g, [2, 0, 2, 10]) r = pinned(g, prog, LOSSY, ledger=zero).replace(12) assert r.placed == 2 and [t.status for t in r.by_tunnel] == [UP, UP] - # R2: E-source-survivor. + # The surviving sources' captured weights. s = graph(4, SURV) surv = ngc.FlowPolicy(ngc.FlowLedger(s), [0, 1, 2], 3, global_()).place(9).program assert surv.source_weights == ((0, 3), (1, 1), (2, 5)) @@ -968,7 +953,7 @@ def test_replay(): def test_replay_basis(): - # R3: the topology basis keeps head 1; R4: the supplied basis drops it. + # The topology basis keeps head 1; the supplied basis drops it. g = graph(3, RB) prog = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, global_()).place(10).program assert listing(prog) == [(0, [0], 5), (1, [1], 5)] @@ -980,7 +965,7 @@ def test_replay_basis(): r = pinned(g, sup, LOSSY, mask).replace(10) assert (r.placed, r.call_drops) == (5, [(0, 5)]) assert pinned(g, sup, LOSSLESS, mask).place(INF).placed == 5 - # R6: every remaining weight 0. + # Every remaining weight 0. z = graph(3, [(0, 2, 5), (1, 2, 5)]) zp = ngc.FlowPolicy(ngc.FlowLedger(z), [0, 1], 2, global_()).place(1).program m = z.eligibility(excluded_nodes=[0]) @@ -991,7 +976,7 @@ def test_replay_basis(): def test_replay_split_routes(): - # R7: STALE-remote-tail-repair; R8: STALE-tunnel-node-repair; R9: frozen weights. + # A stale remote tail repaired; a stale tunnel node repaired; frozen weights. g = graph(4, DIAM) prog = ( ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, cost_only(admission=LOSSY)) @@ -1024,29 +1009,29 @@ def test_stale_examples(): p.replace(100) installed = p.program r = p.forward(100, black_holes=g.eligibility(excluded_edges=[3])) - assert (r.placed, r.call_drops) == (50, [(3, 50)]) # S1 STALE-remote-tail + assert (r.placed, r.call_drops) == (50, [(3, 50)]) # a stale remote tail assert p.program is installed and not r.routes_changed and not r.weights_changed assert p.replace(100).placed == 100 w = graph(2, [(0, 1, 10), (0, 1, 40)]) q = ngc.FlowPolicy(ngc.FlowLedger(w), 0, 1, cost_only(W, LOSSY)) q.replace(40) r = q.forward(40, black_holes=w.eligibility(excluded_edges=[0])) - assert (r.placed, r.call_drops) == (32, [(0, 8)]) # S2 STALE-wcmp-member + assert (r.placed, r.call_drops) == (32, [(0, 8)]) # a stale WCMP member wz = graph(2, [(0, 1, 0), (0, 1, 40)]) q = ngc.FlowPolicy(ngc.FlowLedger(wz), 0, 1, cost_only(W, LOSSY)) q.replace(1) - assert q.forward(40).placed == 40 # S3 STALE-wcmp-zero-capacity + assert q.forward(40).placed == 40 # a stale WCMP member of capacity 0 rel = graph(4, REL) prog = tunnels(rel, [0, 1], [3], [(0, [0, 2], 1), (1, [1, 2], 1)]) r = pinned(rel, prog, LOSSY).replace(20) - assert [t.delivered for t in r.by_tunnel] == [5, 5] # S4 STALE-relief-original + assert [t.delivered for t in r.by_tunnel] == [5, 5] # the relief's original program r = pinned( rel, prog, LOSSY, black_holes=rel.eligibility(excluded_edges=[0]) ).replace(20) assert rows(r) == [ (0, 0, BLACKHOLED, 10, 0, 10), (1, 1, UP, 10, 10, 0), - ] # S5 STALE-relief + ] # no relief from a black hole def test_stale_tunnels_and_pools(): @@ -1054,31 +1039,31 @@ def test_stale_tunnels_and_pools(): tp = tunnels(t, [0], [3], [(0, [0, 2], 1), (0, [1, 3], 1)]) bh = t.eligibility(excluded_nodes=[2]) r = pinned(t, tp, LOSSY, black_holes=bh).replace(10) - assert rows(r) == [(0, 0, UP, 5, 5, 0), (1, 0, BLACKHOLED, 5, 0, 5)] # S6 + assert rows(r) == [(0, 0, UP, 5, 5, 0), (1, 0, BLACKHOLED, 5, 0, 5)] assert r.call_drops == [(1, 5)] assert pinned(t, tp, LOSSLESS, black_holes=bh).replace(10).placed == 1 pool = graph(4, POOL2) p = ngc.FlowPolicy(ngc.FlowLedger(pool), [0, 1], 3, cost_only(admission=LOSSY)) p.replace(0) r = p.forward(2, outputs=ngc.OutputOptions(edge_flows=True)) - assert (r.placed, r.edge_flows.tolist()) == (2, [1, 1, 1, 1]) # S7 + assert (r.placed, r.edge_flows.tolist()) == (2, [1, 1, 1, 1]) r = p.forward(2, black_holes=pool.eligibility(excluded_edges=[0, 3])) - assert (r.placed, r.call_drops) == (1, [(0, 1)]) # S8 STALE-pooled-remainder + assert (r.placed, r.call_drops) == (1, [(0, 1)]) # a stale pooled remainder zero = graph(2, [(0, 1, 0)]) q = ngc.FlowPolicy(ngc.FlowLedger(zero), 0, 1, cost_only(W, LOSSY)) q.replace(0) r = q.forward(2) - assert (r.source_loss, r.termination) == (2, T.NO_ACTIVE_WEIGHT) # S9 + assert (r.source_loss, r.termination) == (2, T.NO_ACTIVE_WEIGHT) one = graph(2, ONE) q = ngc.FlowPolicy(ngc.FlowLedger(one), 0, 1, cost_only(admission=LOSSY)) q.replace(0) r = q.forward(10, black_holes=one.eligibility(excluded_nodes=[0])) - assert (r.source_loss, r.call_drops, r.placed) == (10, [], 0) # S10 + assert (r.source_loss, r.call_drops, r.placed) == (10, [], 0) op = tunnels(one, [0], [1], [(0, [0], 1)]) r = pinned(one, op, LOSSY, black_holes=one.eligibility(excluded_nodes=[0])).replace( 10 ) - assert rows(r) == [(0, 0, BLACKHOLED, 0, 0, 0)] and r.source_loss == 10 # S11 + assert rows(r) == [(0, 0, BLACKHOLED, 0, 0, 0)] and r.source_loss == 10 def test_stale_with_mask_and_global(): @@ -1095,24 +1080,23 @@ def test_stale_with_mask_and_global(): (0, 0, FAILED, 0, 0, 0), (1, 0, BLACKHOLED, 5, 0, 5), (2, 0, UP, 5, 5, 0), - ] # S12 + ] g = graph(4, G1U) prog = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, global_()).replace(12).program bh = g.eligibility(excluded_edges=[2]) r = pinned(g, prog, LOSSY, black_holes=bh).replace(12) - assert rows(r) == [(0, 0, BLACKHOLED, 2, 0, 2), (1, 0, UP, 10, 10, 0)] # S13 + assert rows(r) == [(0, 0, BLACKHOLED, 2, 0, 2), (1, 0, UP, 10, 10, 0)] assert pinned(g, prog, LOSSLESS, black_holes=bh).replace(12).placed == 4 allowed = g.eligibility() assert rows(pinned(g, prog, LOSSY, black_holes=allowed).replace(12)) == rows( pinned(g, prog, LOSSY).replace(12) - ) # S14 + ) # ---------------------------------------------------------------- O: operations def test_evaluate_publishes_nothing(): - # O1, O18. g = par2(10, 10) ledger = ngc.FlowLedger(g) p = ngc.FlowPolicy(ledger, 0, 1, cost_only()) @@ -1137,7 +1121,6 @@ def state(): def test_replace_and_epochs(): - # O2, O6, O8, O9. g = par2(10, 10) ledger = ngc.FlowLedger(g) p = ngc.FlowPolicy(ledger, 0, 1, cost_only()) @@ -1165,7 +1148,6 @@ def test_replace_and_epochs(): def test_forward_keeps_the_program_and_flags(): - # O3, O10. g = par2(10, 10) ledger = ngc.FlowLedger(g, [2, 10]) a = ngc.FlowPolicy( @@ -1183,7 +1165,6 @@ def test_forward_keeps_the_program_and_flags(): def test_forward_texts_and_order(): - # O4, O5, S16, V1 to V5. g = par2(10, 10) p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cost_only(admission=LOSSY)) with pytest.raises( @@ -1217,9 +1198,8 @@ def test_forward_texts_and_order(): ngc.FlowLedger(g), 0, 1, - ngc.FlowPolicyConfig(routing=ngc.CapacityAware(), placement=EB), + ngc.FlowPolicyConfig(routing=ngc.CapacityAware(ngc.Tunnels(1))), ) - ca.place(1) with pytest.raises( ValueError, match=exact("forward requires an installed program") ): @@ -1230,7 +1210,6 @@ def test_forward_texts_and_order(): def test_zero_replace_and_first_flags(): - # O7, O17. g = graph(4, POOL2) p = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, cost_only()) r = p.replace(0) @@ -1244,7 +1223,7 @@ def test_zero_replace_and_first_flags(): def test_controller_flags(): - # O11 FLAGS-controller-increment, O12, O13 FLAGS-fixed-offer, O14. + # A controller's increment changes the weights; an offer-only change sets no flag. g = graph(2, [(0, 1, 20)]) p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, global_()) r1 = p.place(5) @@ -1276,24 +1255,11 @@ def test_controller_flags(): assert (r.placed, r.termination) == (12, T.EXHAUSTED) -def test_capacity_aware_transitional(): - # O16. - g = graph(2, ONE) - ledger = ngc.FlowLedger(g) - p = ngc.FlowPolicy( - ledger, 0, 1, ngc.FlowPolicyConfig(routing=ngc.CapacityAware(), placement=EB) - ) - r = p.replace(5) - assert (r.placed, r.termination) == (5, T.COMPLETE) - state = ledger.residual().tolist() - assert p.evaluate(3).placed == 3 and ledger.residual().tolist() == state - - # ---------------------------------------------------------------- D, Z: records and rows def test_pooled_records_in_pinned(): - # D5: a CostOnly program in Pinned keeps the attribution of 5.1. + # A CostOnly program in Pinned keeps the attribution of 5.1. g = graph(4, POOL2) prog = ( ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, cost_only(admission=LOSSY)) @@ -1309,7 +1275,7 @@ def test_pooled_records_in_pinned(): def test_wide_rows(): - # Z5: TunnelFlow.assigned and dropped above 2^64. + # TunnelFlow.assigned and dropped above 2^64. g = graph(2, [(0, 1, 0)]) p = pinned(g, tunnels(g, [0], [1], [(0, [0], 1)]), LOSSY) big = (1 << 62) - 1 @@ -1327,7 +1293,6 @@ def test_wide_rows(): def test_query_options_offered(): - # E1 to E5. g = par2(6, 4) prog = tunnels(g, [0], [1], [(0, [0], 1), (0, [1], 1)]) cfg = ngc.FlowPolicyConfig(routing=ngc.Pinned(prog)) @@ -1364,7 +1329,8 @@ def test_query_options_offered(): ), ( ngc.QueryOptions( - ngc.FlowPolicyConfig(routing=ngc.CapacityAware(), placement=EB), + ngc.FlowPolicyConfig(routing=ngc.CapacityAware(ngc.Tunnels(1))), + design_demand=4, offered=5, ), "T1 LOSSLESS capacity does not accept offered", @@ -1393,7 +1359,6 @@ def test_query_options_offered(): def test_pinned_sensitivity(): - # E6, E7, E8; GS5. pl = graph(4, PINLOSS) lp = tunnels(pl, [0], [3], [(0, [0, 2], 1), (0, [1, 3], 1)]) cfg = ngc.FlowPolicyConfig(routing=ngc.Pinned(lp)) @@ -1448,7 +1413,7 @@ def simple_paths(rows, src, dst): def random_tunnel_program(rng): """A random graph and a supplied tunnel program over it (sources {0, 1} or {0}, destination the last node), with weights 0 to 3; None when no source has a path. A quarter are the - review's crossing gadget (S3-04): head 0's tunnels 0, 3, 5 and 1, 4, 6 cross at node 2, so a + crossing gadget: head 0's tunnels 0, 3, 5 and 1, 4, 6 cross at node 2, so a mask can fail both while their union still reaches the destination (1, 3, 5).""" if rng.random() < 0.25: caps = [rng.choice((1, 3, 10)) for _ in range(7)] @@ -1546,7 +1511,7 @@ def test_tunnel_programs_against_the_oracle(): def test_export_replay_property(): - # P10 over random graphs: a Global program (both origins) forwarded by Pinned on a fresh + # Over random graphs: a Global program (both origins) forwarded by Pinned on a fresh # ledger places the same amount on the same edges; its rows split each head's share over # its tunnels exactly by the tunnel weights. import random @@ -1628,16 +1593,16 @@ def test_global_support_optimality_certificate(): def test_mapping(): - # M1 to M10, C7: today's Pinned uses mapped onto programs (values derived by hand). + # today's Pinned uses mapped onto programs (values derived by hand). split = ngc.FlowPlacement.WEIGHTED - # M1: one EqualBalanced DAG route over DIAM: Lossless 200; Lossy place(100) delivers 100. + # One EqualBalanced DAG route over DIAM: Lossless 200; Lossy place(100) delivers 100. g = graph(4, DIAM) one = ngc.ForwardingProgram.from_routes( g, 0, 3, [ngc.Route(0, dag(g, [0, 1, 2, 3]))] ) assert pinned(g, one).place(INF).placed == 200 assert pinned(g, one, LOSSY).place(100).placed == 100 - # M2: Weighted with capacity weights (the default basis): 200; with the residual snapshot + # Weighted with capacity weights (the default basis): 200; with the residual snapshot # (100, 50, 100, 50), node 0 splits by H(x, (100, 50)): H(150) = (100, 50) fits, H(151) = # (101, 50) does not. w = ngc.ForwardingProgram.from_routes( @@ -1654,7 +1619,7 @@ def test_mapping(): residual=[100, 50, 100, 50], ) assert pinned(g, snap).place(INF).placed == 150 - # M3, M4: two one-edge DAG routes on PAR2(6, 4): EqualBalanced and Weighted both split by round + # Two one-edge DAG routes on PAR2(6, 4): EqualBalanced and Weighted both split by round # robin over the entries: 9; Global(support) over both edges: 10. g = par2(6, 4) for options in ({}, {"placement": split}): @@ -1668,7 +1633,7 @@ def test_mapping(): .placed == 10 ) - # M5: two routes sharing e0 (4 units) on SHARE, Lossy place(10): RR(10, 2) = (5, 5) arrive at + # Two routes sharing e0 (4 units) on SHARE, Lossy place(10): RR(10, 2) = (5, 5) arrive at # e0, which carries H(4, (5, 5)) = (2, 2): records 2 and 2. g = graph(3, SHARE) shared = ngc.ForwardingProgram.from_routes( @@ -1677,7 +1642,7 @@ def test_mapping(): p = pinned(g, shared, LOSSY) assert p.place(10).placed == 4 assert [rec.delivered for rec in p.records()] == [2, 2] - # M6: one MaxFlow bundle becomes Global(support): ES over all four links, 12 at cost 34, one + # One MaxFlow bundle becomes Global(support): ES over all four links, 12 at cost 34, one # record per source with the used edges and no entry. g = graph(4, ES) p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, global_(support=dag(g, [0, 1, 2, 3]))) @@ -1686,26 +1651,26 @@ def test_mapping(): assert [(rec.entry, list(rec.bundle.via_edges())) for rec in p.records()] == [ (None, [0, 1, 2, 3]) ] - # M7: Lossy +inf is refused. + # Lossy +inf is refused. g = par2(6, 4) two = tunnels(g, [0], [1], [(0, [0], 1), (0, [1], 1)]) with pytest.raises( ValueError, match=exact("LOSSY forwarding requires a finite offer") ): pinned(g, two, LOSSY).place(INF) - # M8: several sources and destinations are accepted. + # Several sources and destinations are accepted. g = graph(4, B1) both = tunnels(g, [0, 1], [3], [(0, [0], 1), (1, [1, 2], 1)]) assert pinned(g, both).place(4).placed == 4 - # M9: duplicate routes are distinct entries (L1): 12 over three records. + # Duplicate routes are distinct entries: 12 over three records. g = par2(4, 8) dup = tunnels(g, [0], [1], [(0, [0], 1), (0, [1], 1), (0, [1], 1)]) p = pinned(g, dup) assert p.place(INF).placed == 12 and [rec.entry for rec in p.records()] == [0, 1, 2] - # M10: an empty route list. + # An empty route list. with pytest.raises(ValueError, match=exact("routes must not be empty")): ngc.ForwardingProgram.from_routes(g, 0, 1, []) - # C7: Pinned takes a program: no bundles keyword, a list is not a program, None is refused. + # Pinned takes a program: no bundles keyword, a list is not a program, None is refused. with pytest.raises(TypeError): ngc.Pinned(bundles=[dag(g, [0])]) with pytest.raises(TypeError): @@ -1720,8 +1685,7 @@ def test_mapping(): def test_pinned_facts_of_the_retired_reference_fixtures(): - # The Pinned facts that the removed reference fixtures held, derived again from the rules - # (NOTES names each removed fixture with its covering test). + # The Pinned facts that the removed reference fixtures held, derived again from the rules. # pinned_bundle_rules: a split route's record reports its cheapest walk as route_cost: the # DAG {0 -> 1 (cost 1), 1 -> 2 (cost 2), 0 -> 2 (cost 4)} has walks of cost 3 and 4. g = graph(3, [(0, 1, 5, 1), (0, 2, 5, 4), (1, 2, 5, 2)]) @@ -1770,23 +1734,6 @@ def test_pinned_facts_of_the_retired_reference_fixtures(): assert [rec.flow_id for rec in p.records()] == ids -@needs_hooks -def test_the_creation_cap_does_not_limit_pinned_records(): - # limits_kmaxflowspercall: the call-wide creation cap counts CapacityAware creations only; a - # Pinned program of five tunnels creates its five records under a cap of 3. - import _netgraph_core as ext - - g = graph(2, [(0, 1, 1)] * 5) - prog = tunnels(g, [0], [1], [(0, [e], 1) for e in range(5)]) - old = ext._max_flows_per_call(3) - try: - p = pinned(g, prog) - r = p.place(5) - assert r.placed == 5 and [rec.entry for rec in p.records()] == [0, 1, 2, 3, 4] - finally: - ext._max_flows_per_call(old) - - # ---------------------------------------------------------------- Python allocation failures @@ -1850,14 +1797,14 @@ def test_from_routes_and_getters_survive_python_allocation_failures(): assert failures >= 1, fn -# ---------------------------------------------------------------- review S3-01 to S3-03 +# ---------------------------------------------------------------- wide weights, zero offers, failed entries @pytest.mark.parametrize("w", [1 << 61, (1 << 62) - 1]) @pytest.mark.parametrize("admission", [LOSSLESS, LOSSY]) @pytest.mark.parametrize("kind", ["tunnels", "explicit"]) def test_large_equal_weights_deliver_exactly_eight(kind, admission, w): - # S3-01: eight equal legal weights sum to 2^64 or more; equal weights give RR(8, 8): one unit + # Eight equal legal weights sum to 2^64 or more; equal weights give RR(8, 8): one unit # on each of eight links of 100. g = graph(2, [(0, 1, 100)] * 8) if kind == "tunnels": @@ -1879,7 +1826,7 @@ def test_large_equal_weights_deliver_exactly_eight(kind, admission, w): @pytest.mark.parametrize("admission", [LOSSLESS, LOSSY]) def test_large_unequal_weights_split_by_highest_averages(admission): - # S3-01: weights 2^62 - 1, 2^61, 2^61 + 1, 1 (W = 2^63 + 1) on four links of 100, offer 9: + # Weights 2^62 - 1, 2^61, 2^61 + 1, 1 (W = 2^63 + 1) on four links of 100, offer 9: # lower quotas floor(9 w / W) = (4, 2, 2, 0); the ninth unit goes to the largest w / (a + 1), # (2^62 - 1) / 5 against (2^61 + 1) / 3: H(9, w) = (5, 2, 2, 0), the oracle's too; explicit # WCMP and tunnels alike. @@ -1912,7 +1859,7 @@ def test_large_unequal_weights_split_by_highest_averages(admission): @pytest.mark.parametrize("case", ["no-route", "zero-weight"]) @pytest.mark.parametrize("admission", [LOSSLESS, LOSSY]) def test_full_zero_offer_is_complete(method, case, admission): - # S3-02: a full zero offer is COMPLETE (14.2's first row), after its preparation: an empty + # A full zero offer is COMPLETE (14.2's first row), after its preparation: an empty # roster and a program without a positive weight alike. g = graph(2, [(0, 1, 10)]) cfg = cost_only(W, admission, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[0]) @@ -1928,7 +1875,7 @@ def test_full_zero_offer_is_complete(method, case, admission): @pytest.mark.parametrize("method", ["replace", "evaluate"]) @pytest.mark.parametrize("admission", [LOSSLESS, LOSSY]) def test_full_zero_offer_is_complete_for_pinned(method, admission): - # S3-02 for Pinned: a program whose head is masked out, and one whose weights are all 0. + # The same for Pinned: a program whose head is masked out, and one whose weights are all 0. g = graph(2, [(0, 1, 10)]) masked = pinned( g, @@ -1944,7 +1891,7 @@ def test_full_zero_offer_is_complete_for_pinned(method, admission): @pytest.mark.parametrize("admission", [LOSSLESS, LOSSY]) @pytest.mark.parametrize("offer", [0, 5]) def test_all_failed_entries_still_have_records(admission, offer): - # S3-03: one record per program entry also when every entry fails: zero, an empty bundle, + # One record per program entry also when every entry fails: zero, an empty bundle, # route cost None; replace retires and recreates them, an increment keeps them, evaluate # publishes nothing. g = graph(2, [(0, 1, 10)]) @@ -1980,8 +1927,8 @@ def test_all_failed_entries_still_have_records(admission, offer): assert r.call_source_loss == 3 -def test_oracle_witnesses_of_the_review(): - # S3-04: the reference's replay roster is the saved basis, whatever survives, and the offer +def test_oracle_witnesses(): + # The reference's replay roster is the saved basis, whatever survives, and the offer # that captured weights of 0 do not inject is source loss; each against the library, with the # old rule as a negative control (it must disagree on the same input). import program_oracle as orc @@ -2013,7 +1960,8 @@ def test_oracle_witnesses_of_the_review(): assert orc.entry_amounts(2, specs, alive, roster=roster) == native == ([0, 0, 1], 1) # The old rule (the heads with a surviving tunnel) gives head 1 both units. assert orc.entry_amounts(2, specs, alive, roster=[1]) == ([0, 0, 2], 0) != native - # Captured weights all 0 (P7's program, source 0 masked): the whole offer is lost (R6). + # Captured weights all 0 (place(1)'s Global program, whose source 1 weighs 0, with source 0 + # masked): the whole offer is lost. g = graph(3, [(0, 2, 5), (1, 2, 5)]) prog = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, global_()).place(1).program r = pinned(g, prog, LOSSY, elig=g.eligibility(excluded_nodes=[0])).replace(4) diff --git a/tests/py/test_public_surface.py b/tests/py/test_public_surface.py index 367b9a8..fe41fb5 100644 --- a/tests/py/test_public_surface.py +++ b/tests/py/test_public_surface.py @@ -5,6 +5,8 @@ aliases; and the argument checks of the bindings, each with its exception class and whole message.""" +import re +from pathlib import Path from types import SimpleNamespace import _netgraph_core @@ -32,7 +34,7 @@ "FlowRecord", "Absolute", "Stretch", - "DiminishingReturns", + "Tunnels", "CostOnly", "CapacityAware", "Global", @@ -43,13 +45,13 @@ "Route", "ForwardingProgram", "TunnelFlow", + "TunnelPlan", "FlowPolicyConfig", "OutputOptions", "Termination", "PlacementResult", "SourceFlow", "FlowPolicy", - "MAX_FLOWS_PER_CALL", "DagCache", "DagCacheMiss", "DagCacheStats", @@ -75,7 +77,6 @@ # The private hooks (NETGRAPH_CORE_PRIVATE_HOOKS: the development build only): module functions # and class members. HOOK_FUNCTIONS = { - "_max_flows_per_call", "_fail_python_allocation", "_fail_native_allocation", "_round_robin", @@ -98,7 +99,80 @@ def test_public_surface(): for name in PUBLIC: assert getattr(ngc, name) is getattr(_netgraph_core, name), name assert isinstance(ngc.__version__, str) - assert ngc.MAX_FLOWS_PER_CALL == 10000 + # 52 entries with __version__ (DiminishingReturns and MAX_FLOWS_PER_CALL are gone, Tunnels + # and TunnelPlan are new). + assert len(ngc.__all__) == 52 + + +def test_enum_values_are_pinned(): + # The integer values of the public enumerations (contract 14.1, 14.2). + assert {m.name: int(m) for m in ngc.TunnelStatus.__members__.values()} == { + "UP": 0, + "NO_BANDWIDTH": 1, + "COST_CEILING": 2, + "FAILED": 3, + "BLACKHOLED": 4, + } + assert {m.name: int(m) for m in ngc.Termination.__members__.values()} == { + "COMPLETE": 0, + "NO_ROUTE": 1, + "EXHAUSTED": 2, + "NO_ACTIVE_WEIGHT": 3, + } + + +def test_path_selection_defaults(): + # multipath None is the model's natural shape (contract 3.3). + s = ngc.PathSelection() + assert (s.tie_break, s.priority, s.multipath, s.multi_edge) == ( + ngc.EdgeTieBreak.DETERMINISTIC, + ngc.EdgePriority.CAPACITY, + None, + True, + ) + assert repr(s) == ( + "PathSelection(tie_break=DETERMINISTIC, priority=CAPACITY, multipath=None, multi_edge=True)" + ) + assert repr(ngc.PathSelection(multipath=False)).count("multipath=False") == 1 + assert hash(ngc.PathSelection()) == hash(ngc.PathSelection(multipath=None)) + assert ngc.PathSelection(multipath=None) != ngc.PathSelection(multipath=True) + + +def test_tunnel_values_read_only(): + # The T1 configuration values have read-only fields and no T0 keyword. + t = ngc.Tunnels(2) + ca = ngc.CapacityAware(t, max_path_cost=ngc.Absolute(3)) + with pytest.raises(AttributeError): + t.count = 3 + with pytest.raises(AttributeError): + t.up_to = True + with pytest.raises(AttributeError): + ca.tunnels = ngc.Tunnels(3) + with pytest.raises(AttributeError): + ca.min_unreserved_bandwidth = 1 + with pytest.raises(TypeError): + ngc.CapacityAware(flow_count=2) + assert ( + repr(t) == "Tunnels(2)" + and repr(ngc.Tunnels(4, up_to=True)) == "Tunnels(4, up_to=True)" + ) + assert ( + repr(ca) + == "CapacityAware(Tunnels(2), max_path_cost=Absolute(3), min_unreserved_bandwidth=0)" + ) + assert "max_path_cost=None," in repr(ngc.CapacityAware(t)) + assert repr( + ngc.CapacityAware( + ngc.Tunnels(3), max_path_cost=ngc.Stretch(2.0), min_unreserved_bandwidth=5 + ) + ) == ( + "CapacityAware(Tunnels(3), max_path_cost=Stretch(2.0), min_unreserved_bandwidth=5)" + ) + assert ( + t == ngc.Tunnels(2) + and hash(t) == hash(ngc.Tunnels(2)) + and t != ngc.Tunnels(2, up_to=True) + ) def test_extension_surface_is_exactly_the_public_and_private_sets(): @@ -146,7 +220,10 @@ def test_signatures_name_registered_types_only(): "FlowGraph", "Outputs", "Diminishing", + "DiminishingReturns", + "MAX_FLOWS_PER_CALL", "kMaxFlowsPerCall", + "_max_flows_per_call", "CapacityOptions", "SensitivityOptions", } @@ -168,15 +245,50 @@ def test_signatures_name_registered_types_only(): # Retired members: PlacementResult's per-source termination list (the result reports one # termination and per-source rows in by_source), FlowRecord's kernel (only ever written), # FlowPolicy's usable-bundle count and Pinned's bundle list (Pinned forwards a ForwardingProgram; -# FlowPolicy.program and PlacementResult.by_tunnel report what is forwarded). +# FlowPolicy.program and PlacementResult.by_tunnel report what is forwarded), the growth +# computation's CapacityAware fields and terminations (T1 sets up its tunnels once per call). RETIRED_MEMBERS = { "PlacementResult": {"local_outcomes"}, "FlowRecord": {"placement"}, "FlowPolicy": {"usable_bundles"}, "Pinned": {"bundles"}, + "CapacityAware": { + "flow_count", + "max_flow_count", + "min_flow_bandwidth", + "reoptimize", + "diminishing", + }, + "Termination": {"LIMIT_FLOWS", "LIMIT_DIMINISHING"}, } +# The files that tell a hooks build from a shipped one by probing one private hook. +HOOK_PROBES = ( + ".github/workflows/tests.yml", + ".github/workflows/release.yml", + "dev/run-checks.sh", + "dev/stubs/generate.py", + "tests/py/private_hooks.py", +) + + +def test_hook_probes_name_a_bound_hook(): + # A probe of a deleted hook makes a hooks build look like a shipped one: CI then refuses a + # correct editable build, and the release check that a wheel has no hooks can never fail. + root = Path(__file__).resolve().parents[2] + if not all((root / rel).is_file() for rel in HOOK_PROBES): + pytest.skip("needs a git checkout: the sdist leaves out .github/ and dev/") + names = {} + for rel in HOOK_PROBES: + found = re.findall(r"hasattr\(\w+, ['\"](\w+)['\"]\)", (root / rel).read_text()) + assert found, rel + for name in found: + names.setdefault(name, []).append(rel) + assert set(names) == {"_fail_native_allocation"}, names + assert not HOOKS or all(hasattr(_netgraph_core, name) for name in names) + + def test_retired_spellings_are_absent(): for name in RETIRED | RETIRED_SEARCH: assert not hasattr(_netgraph_core, name), name @@ -190,7 +302,6 @@ def test_retired_spellings_are_absent(): assert ngc.Graph.__name__ == "Graph" assert ngc.FlowLedger.__name__ == "FlowLedger" assert ngc.OutputOptions.__name__ == "OutputOptions" - assert ngc.DiminishingReturns.__name__ == "DiminishingReturns" # PredDAG and Path carry no resolver or alternative constructors. for name in ("resolve_to_paths", "from_edges", "from_hops"): assert not hasattr(ngc.PredDAG, name), name @@ -341,21 +452,26 @@ def _refusal_inputs(): TypeError, ROUTING.format("NoneType"), ), - "CapacityAware-flow_count-None": ( - lambda s: ngc.CapacityAware(flow_count=None), + "Tunnels-count-None": ( + lambda s: ngc.Tunnels(None), ValueError, - "flow_count must be an integer (got None)", + "tunnel count must be an integer (got None)", + ), + "Tunnels-count-bool": ( + lambda s: ngc.Tunnels(True), + ValueError, + "tunnel count must be an integer (got bool)", + ), + "CapacityAware-min_unreserved_bandwidth-None": ( + lambda s: ngc.CapacityAware(ngc.Tunnels(1), min_unreserved_bandwidth=None), + ValueError, + "min_unreserved_bandwidth must be an integer (got None)", ), "Absolute-cost-None": ( lambda s: ngc.Absolute(None), ValueError, "Absolute cost must be an integer (got None)", ), - "DiminishingReturns-window-None": ( - lambda s: ngc.DiminishingReturns(None, 0.5), - ValueError, - "diminishing window must be an integer (got None)", - ), "Stretch-factor-str": ( lambda s: ngc.Stretch("1.5"), ValueError, @@ -366,11 +482,6 @@ def _refusal_inputs(): ValueError, "Stretch factor must be a number (got bool)", ), - "DiminishingReturns-fraction-str": ( - lambda s: ngc.DiminishingReturns(1, "0.5"), - ValueError, - "diminishing fraction must be a number (got str)", - ), "Pinned-program-None": ( lambda s: ngc.Pinned(None), TypeError, diff --git a/tests/py/test_route_structures.py b/tests/py/test_route_structures.py index b278502..e66a70f 100644 --- a/tests/py/test_route_structures.py +++ b/tests/py/test_route_structures.py @@ -320,10 +320,10 @@ def test_path_selection_and_enums(): sel = ngc.PathSelection( ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, ngc.EdgePriority.HEADROOM ) - assert (sel.multipath, sel.multi_edge) == (True, True) + assert (sel.multipath, sel.multi_edge) == (None, True) assert sel.tie_break == ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY assert sel == ngc.PathSelection( - ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, ngc.EdgePriority.HEADROOM, True, True + ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, ngc.EdgePriority.HEADROOM, None, True ) assert sel != ngc.PathSelection( ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, @@ -331,13 +331,14 @@ def test_path_selection_and_enums(): multipath=False, ) assert "PREFER_HIGHER_PRIORITY" in repr(sel) - # Every field has a default (contract r8 3.2): DETERMINISTIC, CAPACITY, multipath, multi_edge. + # Every field has a default (contract 3.2, 3.3): DETERMINISTIC, CAPACITY, multipath None + # (the model's natural shape), multi_edge. default = ngc.PathSelection() assert (default.tie_break, default.priority) == ( ngc.EdgeTieBreak.DETERMINISTIC, ngc.EdgePriority.CAPACITY, ) - assert (default.multipath, default.multi_edge) == (True, True) + assert (default.multipath, default.multi_edge) == (None, True) assert {m.name for m in ngc.FlowPlacement.__members__.values()} == { "MAX_FLOW", "WEIGHTED", diff --git a/tests/py/test_tunnel_oracle.py b/tests/py/test_tunnel_oracle.py new file mode 100644 index 0000000..ea13c17 --- /dev/null +++ b/tests/py/test_tunnel_oracle.py @@ -0,0 +1,217 @@ +"""The tunnel oracle (tunnel_oracle.py) against hand derivations, two per rule it restates: one +test per rule, each with two cases derived by hand. These tests import nothing of the library; a +copy of the oracle with one misreading of a rule must fail that rule's test.""" + +from __future__ import annotations + +from fractions import Fraction + +import tunnel_oracle as orc + +UP, NB, CC, FAILED = orc.UP, orc.NB, orc.CC, orc.FAILED + +# The graphs of the hand derivations: (u, v, capacity, cost) in EdgeId order. +ONE10 = [(0, 1, 10, 1)] +PARX = [(0, 1, 4, 1), (0, 1, 10, 1)] +PVIEW = [(0, 1, 10, 1), (0, 1, 8, 1)] +FILT = [(0, 1, 2, 1), (0, 1, 10, 1)] +PARC = [(0, 1, 4, 1), (0, 1, 10, 2)] +PAR612 = [(0, 1, 6, 1), (0, 1, 6, 2)] +ZL = [(0, 1, 0, 1), (0, 1, 10, 2)] +X8 = [(0, 2, 0, 1), (1, 2, 8, 3)] +LASTDOWN = [(0, 1, 2, 1), (0, 1, 10, 2)] # the last tunnel without bandwidth +SHARED = [(0, 2, 6, 1), (1, 2, 6, 1), (2, 3, 6, 1)] # two heads sharing a link +DIAM5 = [(0, 1, 6, 1), (0, 2, 6, 3), (1, 2, 4, 1), (1, 3, 6, 3), (2, 3, 6, 1)] +REPLAY = [(0, 2, 10, 1), (0, 3, 10, 5), (1, 2, 10, 1), (3, 2, 10, 5)] +SX = [(0, 1, 0, 5), (0, 1, 1, 6)] # Stretch(1.2) just below the next path + + +def twoh(a, b): + return [(0, 2, a, 1), (1, 2, b, 1)] + + +def caps(edges): + return [c for _, _, c, _ in edges] + + +def statuses(s): + return [t.status for t in s.tunnels] + + +def routes(s): + return [t.path or [] for t in s.tunnels] + + +def requests(s): + return [t.requested for t in s.tunnels] + + +# The requests RR(RR(D, H, h), N, j) in round order (6.2) +def test_round_order_requests(): + # RR(10, 2) = (5, 5), RR(5, 2) = (3, 2): round order 3, 3, 2, 2. + assert requests(orc.setup(twoh(10, 10), [0, 1], [2], 10, 2)) == [3, 3, 2, 2] + # D = 5 over two heads, N = 2: shares (3, 2), requests 2, 1, 1, 1. + assert requests(orc.setup(twoh(10, 10), [0, 1], [2], 5, 2)) == [2, 1, 1, 1] + + +# Every attempt on U minus this setup's earlier up tunnels (6.4) +def test_attempts_see_earlier_tunnels(): + # Two heads sharing a link: the first tunnel of each head fills node 2's exit (6 of 3 + 3). + assert statuses(orc.setup(SHARED, [0, 1], [3], 12, 2)) == [UP, UP, NB, NB] + # The last tunnel without bandwidth: three requests of 3 fit the 10-unit link, the fourth + # does not. + assert statuses(orc.setup(LASTDOWN, [0], [1], 12, 4)) == [UP, UP, UP, NB] + + +# The filter U >= max(b, minimum) is inclusive (6.4) +def test_inclusive_filter(): + # PAR612, D = 12, N = 4: two requests of 3 fill a link of 6. + assert routes(orc.setup(PAR612, [0], [1], 12, 4)) == [[0], [0], [1], [1]] + # Minimum 5 filters the 4-unit link: both on e1, holds [0, 2]; minimum 0: both on e0. + s = orc.setup(PARC, [0], [1], 2, 2, minimum=5) + assert (routes(s), s.holds) == ([[1], [1]], [0, 2]) + s = orc.setup(PARC, [0], [1], 2, 2) + assert (routes(s), s.holds) == ([[0], [0]], [2, 0]) + + +# A request of 0 has no filter unless the minimum is positive (6.3) +def test_zero_requests(): + # An idle tunnel on a zero-capacity link: request 1 on e1 (e0 has 0), request 0 over the + # zero link e0 (cost 1). + s = orc.setup(ZL, [0], [1], 1, 2) + assert (requests(s), routes(s), statuses(s)) == ([1, 0], [[1], [0]], [UP, UP]) + # Minimum 1 filters the zero link for both. + s = orc.setup(ZL, [0], [1], 1, 2, minimum=1) + assert (routes(s), s.holds) == ([[1], [1]], [0, 1]) + + +# The filter first, then the collapse of parallel members (6.4) +def test_filter_before_collapse(): + sel = orc.Selection(multi_edge=False) + # e0 (2 < 6) is filtered before the collapse would keep it (lowest EdgeId). + assert routes(orc.setup(FILT, [0], [1], 6, 1, sel=sel)) == [[1]] + # The last tunnel without bandwidth with multi_edge False: as with True. + assert statuses(orc.setup(LASTDOWN, [0], [1], 12, 4, sel=sel)) == [UP, UP, UP, NB] + + +# The single-path order: cost, PHP bottleneck, hops, EdgeId sequence (3.3) +def test_single_path_order(): + # DETERMINISTIC: equal costs and hops: the smaller EdgeId, then e0 is filtered. + assert routes(orc.setup(PARX, [0], [1], 8, 2)) == [[0], [1]] + # The diamond, design 8: the cheapest path 0-1-2-3 (cost 3, three hops) before the two-hop + # paths of cost 4. + assert routes(orc.setup(DIAM5, [0], [3], 8, 2)) == [[0, 2, 4], []] + + +# The priority view: RESIDUAL reads U, HEADROOM U / C, CAPACITY C (6.4) +def test_priority_view(): + # Unreserved [5, 8], service residual the capacities [10, 8]: RESIDUAL reads U: e1. + sel = orc.Selection(php=True, priority="RESIDUAL") + assert routes(orc.setup(PVIEW, [0], [1], 4, 1, sel=sel, unreserved=[5, 8])) == [[1]] + # PHP HEADROOM: 4/4 = 10/10, a tie: e0, then e0 is filtered: e1. + sel = orc.Selection(php=True, priority="HEADROOM") + assert routes(orc.setup(PARX, [0], [1], 8, 2, sel=sel)) == [[0], [1]] + + +# Absolute(c) is inclusive (6.4) +def test_absolute_inclusive(): + # X8 with Absolute(3): head 1's path costs 3: up. + assert statuses(orc.setup(X8, [0, 1], [2], 4, 1, absolute=3)) == [NB, UP] + # Absolute(2): COST_CEILING. + assert statuses(orc.setup(X8, [0, 1], [2], 4, 1, absolute=2)) == [NB, CC] + + +# Stretch(f): the exact f times the pool minimum c0 (6.4) +def test_stretch_pool_baseline(): + # X8 with Stretch(2): c0 = 1 (head 0's zero-capacity link), ceiling 2 < 3. + s = orc.setup(X8, [0, 1], [2], 4, 1, stretch=2.0) + assert (s.c0, statuses(s)) == (1, [NB, CC]) + # Stretch(1.2) on SX: c0 = 5, the stored 1.2 times 5 is below 6. + s = orc.setup(SX, [0], [1], 1, 1, stretch=1.2) + assert Fraction(1.2) * 5 < 6 + assert (s.c0, statuses(s)) == (5, [CC]) + + +# An up tunnel holds b on every link, a down one nothing (6.4) +def test_holds(): + # The last tunnel without bandwidth: three up tunnels of 3 on e1, the fourth down. + s = orc.setup(LASTDOWN, [0], [1], 12, 4) + assert (s.holds, sum(t.reserved for t in s.tunnels)) == ([0, 9], 9) + # ONE10, N = 2, D = 12: 6 up, the second 6 down (U = 4). + s = orc.setup(ONE10, [0], [1], 12, 2) + assert (statuses(s), s.holds, sum(t.reserved for t in s.tunnels)) == ( + [UP, NB], + [6], + 6, + ) + + +# Forwarding: RR over the heads, RR over a head's up tunnels, no renormalization (6.5) +def test_forwarding(): + # TWOH(2, 10), N = 2: head 0 has no up tunnel and loses its 6; head 1 delivers 6. + g = twoh(2, 10) + s = orc.setup(g, [0, 1], [2], 12, 2) + delivered, lost, _, _ = orc.lossy(g, s.roster, s.tunnels, 12, caps(g)) + assert (delivered, lost) == (6, 6) + # Shares RR(13, 4) = (4, 3, 3, 3); e0 carries H(6, [4, 3]) = (4, 2). + s = orc.setup(PAR612, [0], [1], 12, 4) + delivered, lost, per, drops = orc.lossy( + PAR612, s.roster, s.tunnels, 13, caps(PAR612) + ) + assert [a for a, _, _ in per] == [4, 3, 3, 3] + assert ([d for _, d, _ in per], delivered, lost, drops) == ( + [4, 2, 3, 3], + 12, + 0, + [1, 0], + ) + + +# Lossless admits only totals that give a head without an up tunnel nothing (3.4, 8.3) +def test_lossless_dead_head(): + # TWOH(2, 10): head 0 is first and down: 0. + g = twoh(2, 10) + s = orc.setup(g, [0, 1], [2], 12, 2) + assert orc.lossless_bound(g, s.roster, s.tunnels, caps(g)) == 0 + # X8: the same with head 0 behind a zero-capacity link. + s = orc.setup(X8, [0, 1], [2], 4, 1) + assert orc.lossless_bound(X8, s.roster, s.tunnels, caps(X8)) == 0 + + +# The replay roster from the program's basis, not from surviving entries (8.4) +def test_replay_roster(): + # REPLAY: head 0's tunnel e0 fails, head 0 still reaches 2 over e1, e3: it keeps 5 and + # loses it; head 1 delivers its 5. + s = orc.setup(REPLAY, [0, 1], [2], 10, 1) + assert routes(s) == [[0], [2]] + roster, st, alive = orc.replay(REPLAY, s.roster, s.tunnels, [2], ([], [0])) + assert (roster, st) == ([0, 1], [FAILED, UP]) + delivered, lost, _, _ = orc.lossy( + REPLAY, roster, s.tunnels, 10, caps(REPLAY), alive + ) + assert (delivered, lost) == (5, 5) + # The 6.6 program with e1 masked: head 1 leaves, head 0 keeps the whole 12 and loses it; + # the program has up tunnels none can use: NO_ACTIVE_WEIGHT. + g = twoh(2, 10) + s = orc.setup(g, [0, 1], [2], 12, 2) + roster, st, alive = orc.replay(g, s.roster, s.tunnels, [2], ([], [1])) + assert (roster, st) == ([0], [NB, FAILED, NB, FAILED]) + delivered, lost, _, _ = orc.lossy(g, roster, s.tunnels, 12, caps(g), alive) + assert (delivered, lost) == (0, 12) + assert orc.termination(12, roster, s.tunnels, alive, True, 0) == "NO_ACTIVE_WEIGHT" + + +# One record per entry, down and failed ones included (10.4) +def test_records_per_entry(): + # DIAM5 at D = 14: both down, two zero records. + s = orc.setup(DIAM5, [0], [3], 14, 2) + assert statuses(s) == [NB, NB] + assert orc.records(s.tunnels) == [(0, 0, []), (1, 0, [])] + # The 6.6 program: four records, the up tunnels holding 3 on e1. + s = orc.setup(twoh(2, 10), [0, 1], [2], 12, 2) + assert orc.records(s.tunnels) == [ + (0, 0, []), + (1, 0, [(1, 3)]), + (2, 0, []), + (3, 0, [(1, 3)]), + ] diff --git a/tests/py/test_tunnels_t1.py b/tests/py/test_tunnels_t1.py new file mode 100644 index 0000000..506f2ee --- /dev/null +++ b/tests/py/test_tunnels_t1.py @@ -0,0 +1,1417 @@ +"""T1 (CapacityAware(Tunnels(N))) through the binding: the contract's T1 examples (6.2 to 6.6, +3.4), the configuration and call checks, setup, forwarding, operations, programs and replays, +records, flags and terminations, the evaluators, the numeric ranges, zero offers and everything +masked, a property test against the independent tunnel_oracle.py, and the Python-allocation +sweeps of T1's results. The ledger's two projections are test_ledger_projections.py's.""" + +from __future__ import annotations + +import random + +import pytest +import tunnel_oracle as orc +from helpers import ( + COSTONLY, + GLOBAL, + INF, + L62, + build, + exact, + full_ledger_state, + ledger_state, + sweep_python_allocation, + t1_config, +) +from private_hooks import HOOKS, needs_hooks + +import netgraph_core as ngc + +T = ngc.Termination +S = ngc.TunnelStatus +UP, NB, CC, FAILED, BLACKHOLED = ( + S.UP, + S.NO_BANDWIDTH, + S.COST_CEILING, + S.FAILED, + S.BLACKHOLED, +) +LOSSY = ngc.Admission.LOSSY +LOSSLESS = ngc.Admission.LOSSLESS +PHP = ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY +DETP = ngc.EdgeTieBreak.DETERMINISTIC +CAP, RES, HEAD = ( + ngc.EdgePriority.CAPACITY, + ngc.EdgePriority.RESIDUAL, + ngc.EdgePriority.HEADROOM, +) +HOLDS = ngc.OutputOptions(reservation_edge_flows=True) + + +def ledger_now(fg): + """The ledger's public state; with the private hooks also its next FlowId and owners.""" + return full_ledger_state(fg) if HOOKS else ledger_state(fg) + + +def graph(rows, n=None): + """A graph whose rows are in EdgeId order (asserted): (u, v, capacity, cost).""" + n = n if n is not None else 1 + max(max(u, v) for u, v, _, _ in rows) + g = build(n, rows) + assert [int(i) for i in g.input_index()] == list(range(len(rows))) + return g + + +def one10(): + return graph([(0, 1, 10, 1)]) + + +def twoh(a, b): + return graph([(0, 2, a, 1), (1, 2, b, 1)]) + + +def par612(): + return graph([(0, 1, 6, 1), (0, 1, 6, 2)]) + + +DIAM5 = [(0, 1, 6, 1), (0, 2, 6, 3), (1, 2, 4, 1), (1, 3, 6, 3), (2, 3, 6, 1)] + + +def diam5(): + return graph(DIAM5) + + +def x8(): + return graph([(0, 2, 0, 1), (1, 2, 8, 3)]) + + +def policy(g, s, d, n, admission=None, ledger=None, elig=None, **routing): + ledger = ledger if ledger is not None else ngc.FlowLedger(g) + return ngc.FlowPolicy(ledger, s, d, t1_config(n, admission, **routing), elig) + + +def tsel(tie=DETP, prio=CAP, me=True, mp=None): + return ngc.PathSelection(tie, prio, mp, me) + + +def statuses(r): + return [t.status for t in r.program.tunnels] + + +def routes(r): + return [list(t.edges) if t.edges is not None else [] for t in r.program.tunnels] + + +def requests(r): + return [t.requested for t in r.program.tunnels] + + +def rows(r): + return [ + (t.index, t.head, t.status, t.assigned, t.delivered, t.dropped) + for t in r.by_tunnel + ] + + +def source_rows(r): + return [ + (s.source, s.offered, s.admitted, s.delivered, s.source_loss, s.dropped) + for s in r.by_source + ] + + +def err(fn): + with pytest.raises(ValueError) as e: + fn() + return str(e.value) + + +# ---------------------------------------------------------------- the contract's examples (X) + +G1 = [(0, 1, 8192, 1), (0, 2, 40960, 1), (1, 3, 8192, 1), (2, 3, 40960, 1)] +BRANCH_ROUTES = [[0, 2]] * 2 + [[1, 3]] * 13 + [[]] +BRANCH_SHARES = [3277] * 12 + [3276] * 3 + [0] +EXAMPLES = { + # id: (rows, heads, dst, D, N, routing keywords, requests, routes, statuses, reserved, + # reserved per edge, lossless bound, offer, Lossy shares per entry, delivery, source loss) + "four tunnels on two parallel links": ( + [(0, 1, 6, 1), (0, 1, 6, 2)], [0], 1, 12, 4, {}, [3] * 4, [[0], [0], [1], [1]], + [UP] * 4, 12, [6, 6], 12, 13, [4, 3, 3, 3], 12, 0), + "uneven requests 3 and 2": ( + [(0, 1, 3, 1), (0, 1, 2, 2)], [0], 1, 5, 2, {}, [3, 2], [[0], [1]], [UP, UP], 5, + [3, 2], 5, 5, [3, 2], 5, 0), + "a share below the tunnel count": ( + [(0, 1, 6, 1), (0, 1, 6, 2)], [0], 1, 1, 2, {}, [1, 0], [[0], [0]], + [UP, UP], 1, [1, 0], 6, 1, [1, 0], 1, 0), + "carried above the holds": ( + [(0, 1, 5, 1), (0, 1, 5, 1)], [0], 1, 8, 2, {}, [4, 4], [[0], [1]], + [UP, UP], 8, [4, 4], 10, 10, [5, 5], 10, 0), + "a zero request on a zero-capacity link": ( + [(0, 1, 0, 1)], [0], 1, 0, 1, {}, [0], [[0]], [UP], 0, [0], 0, 1, [1], + 0, 0), + "the last tunnel without bandwidth": ( + [(0, 1, 2, 1), (0, 1, 10, 2)], [0], 1, 12, 4, {}, [3] * 4, [[1], [1], [1], []], + [UP, UP, UP, NB], 9, [0, 9], 10, 12, [4, 4, 4, 0], 10, 0), + "two heads sharing a link": ( + [(0, 2, 6, 1), (1, 2, 6, 1), (2, 3, 6, 1)], [0, 1], 3, 12, 2, {}, [3] * 4, + [[0, 2], [1, 2], [], []], [UP, UP, NB, NB], 6, [3, 3, 6], 6, 12, [6, 6, 0, 0], 6, 0), + "three heads, one with a zero request": ( + [(0, 3, 20, 1), (1, 3, 20, 1), (2, 3, 20, 1)], [0, 1, 2], 3, 2, 1, {}, [1, 1, 0], + [[0], [1], [2]], [UP] * 3, 2, [1, 1, 0], 60, 3, [1, 1, 1], 3, 0), + "two equal links, one tunnel each": ( + [(0, 1, 5, 1), (0, 1, 5, 1)], [0], 1, 8, 2, {}, [4, 4], [[0], [1]], [UP, UP], 8, + [4, 4], 10, 8, [4, 4], 8, 0), + "a head behind a zero-capacity link": ( + [(0, 2, 0, 1), (1, 2, 8, 3)], [0, 1], 2, 4, 1, {}, [2, 2], [[], [1]], [NB, UP], 2, + [0, 2], 0, 4, [0, 2], 2, 2), + "a head behind a zero-capacity link, Absolute(3)": ( + [(0, 2, 0, 1), (1, 2, 8, 3)], [0, 1], 2, 4, 1, + {"max_path_cost": ngc.Absolute(3)}, [2, 2], [[], [1]], [NB, UP], 2, + [0, 2], 0, None, None, None, None), + "a head behind a zero-capacity link, Stretch(2)": ( + [(0, 2, 0, 1), (1, 2, 8, 3)], [0, 1], 2, 4, 1, + {"max_path_cost": ngc.Stretch(2.0)}, [2, 2], [[], []], [NB, CC], 0, [0, 0], + 0, None, None, None, None), + "Stretch(1.2) just below the next path": ( + [(0, 1, 0, 5), (0, 1, 1, 6)], [0], 1, 1, 1, + {"max_path_cost": ngc.Stretch(1.2)}, [1], [[]], [CC], 0, [0, 0], 0, + 1, [0], 0, 1), + "the diamond, design 8": ( + DIAM5, [0], 3, 8, 2, {}, [4, 4], [[0, 2, 4], []], [UP, NB], 4, [4, 0, 4, 0, 4], 4, + None, None, None, None), + "the diamond, design 10": ( + DIAM5, [0], 3, 10, 2, {}, [5, 5], [[0, 3], [1, 4]], [UP, UP], 10, + [5, 5, 0, 5, 5], 12, None, None, None, None), + "the diamond, design 14": ( + DIAM5, [0], 3, 14, 2, {}, [7, 7], [[], []], [NB, NB], 0, [0] * 5, 0, 14, [0, 0], + 0, 14), + "two heads, the second with bandwidth": ( + [(0, 2, 2, 1), (1, 2, 10, 1)], [0, 1], 2, 12, 2, {}, [3] * 4, + [[], [1], [], [1]], [NB, UP, NB, UP], 6, [0, 6], 0, 12, [0, 3, 0, 3], 6, 6), + "more tunnels than units": ( + [(0, 1, 10, 1)], [0], 1, 3, 4, {}, [1, 1, 1, 0], [[0]] * 4, [UP] * 4, 3, [3], 10, + 3, [1, 1, 1, 0], 3, 0), + "an idle tunnel on a zero-capacity link": ( + [(0, 1, 0, 1), (0, 1, 10, 2)], [0], 1, 1, 2, {}, [1, 0], [[1], [0]], + [UP, UP], 1, [0, 1], 1, 2, [1, 1], 1, 0), + "a zero design": ( + [(0, 1, 10, 1)], [0], 1, 0, 2, {}, [0, 0], [[0], [0]], [UP, UP], 0, [0], + 10, 4, [2, 2], 4, 0), + # The sixteen tunnels' Lossy delivery is not in the example: by hand 6554 within 8192 plus + # 40960 of 42598. + "sixteen tunnels on two branches": ( + G1, [0], 3, 49152, 16, {}, [3072] * 16, BRANCH_ROUTES, [UP] * 15 + [NB], 46080, + [6144, 39936, 6144, 39936], 47262, 49152, BRANCH_SHARES, 47514, 0), + "sixteen tunnels, a design above the network": ( + G1, [0], 3, 409600, 16, {}, [25600] * 16, [[1, 3]] + [[]] * 15, + [UP] + [NB] * 15, 25600, [0, 25600, 0, 25600], 40960, None, None, None, + None), +} # fmt: skip + + +@pytest.mark.parametrize("eid", list(EXAMPLES)) +def test_contract_examples(eid): + (rows_, heads, dst, D, N, kw, req, rts, st, reserved, per_edge, bound) = EXAMPLES[ + eid + ][:12] + offer, shares, delivery, loss = EXAMPLES[eid][12:] + g = graph(rows_) + fg = ngc.FlowLedger(g) + p = policy(g, heads, dst, N, ledger=fg, **kw) + r = p.replace(INF, design_demand=D, outputs=HOLDS) + assert (requests(r), routes(r), statuses(r)) == (req, rts, st) + assert r.plan.reserved_total == reserved + assert r.reservation_edge_flows.tolist() == per_edge == fg.reserved().tolist() + assert (r.placed, r.termination) == (bound, T.EXHAUSTED) + if offer is None: + return + ly = policy(g, heads, dst, N, LOSSY, **kw) + s = ly.replace(offer, design_demand=D) + assert [t.assigned for t in s.by_tunnel] == shares + assert (s.placed, s.call_source_loss, s.termination) == (delivery, loss, T.COMPLETE) + assert (routes(s), statuses(s)) == (rts, st) # the offer never changes the setup + + +def test_call_of_section_6_6(): + g = ngc.Graph( + 3, src=[0, 1], dst=[2, 2], capacity_units=[2, 10], cost=[1, 1], resolution=1.0 + ) + cfg = ngc.FlowPolicyConfig( + routing=ngc.CapacityAware(ngc.Tunnels(2)), admission=LOSSY + ) + fg = ngc.FlowLedger(g) + p = ngc.FlowPolicy(fg, [0, 1], 2, cfg) + r = p.replace(12, design_demand=12) + assert [t.status for t in r.program.tunnels] == [NB, UP, NB, UP] + assert (r.placed, r.call_source_loss) == (6, 6) + assert r.plan.reserved_total == 6 + assert (r.plan.count, r.plan.design_demand, r.plan.head_design) == ( + 2, + 12, + ((0, 6), (1, 6)), + ) + f = p.forward(8) + assert (f.placed, f.call_source_loss, f.delivery_delta) == (4, 4, -2) + assert [t.assigned for t in f.by_tunnel] == [0, 2, 0, 2] + assert fg.reserved().tolist() == [0, 6] + + +# ---------------------------------------------------------------- validation (V) + + +def test_matrix(): + # T1's row of the matrix, in order. + g = one10() + fg = ngc.FlowLedger(g) + ca = ngc.CapacityAware(ngc.Tunnels(2)) + for cfg, text in ( + ( + ngc.FlowPolicyConfig( + routing=ca, placement=ngc.FlowPlacement.EQUAL_BALANCED + ), + "T1 does not accept placement", + ), + ( + ngc.FlowPolicyConfig(routing=ca, origin=ngc.Origin.OPTIMIZED), + "T1 requires origin=EQUAL", + ), + ( + ngc.FlowPolicyConfig(routing=ca, selection=tsel(mp=True)), + "T1 requires multipath=False", + ), + ( + ngc.FlowPolicyConfig(routing=ca, weights=ngc.WeightBasis.CAPACITY), + "T1 does not accept weights", + ), + ( + ngc.FlowPolicyConfig(routing=ca, edge_weights=[1]), + "T1 does not accept edge_weights", + ), + ( + ngc.FlowPolicyConfig(routing=ngc.CapacityAware(ngc.Tunnels(2, up_to=True))), + "T1 requires an exact tunnel count", + ), + ): + with pytest.raises(ValueError, match=exact(text)): + ngc.FlowPolicy(fg, 0, 1, cfg) + with pytest.raises(ValueError, match=exact(text)): + ngc.capacity(g, 0, 1, ngc.QueryOptions(cfg, design_demand=1)) + with pytest.raises(ValueError, match=exact("T1 does not use DagCache")): + ngc.FlowPolicy( + fg, 0, 1, ngc.FlowPolicyConfig(routing=ca), cache=ngc.DagCache(g) + ) + # Both admissions; multipath None and False accepted, the snapshot keeps None. + for mp in (None, False): + for adm in (LOSSLESS, LOSSY): + ngc.FlowPolicy( + fg, + 0, + 1, + ngc.FlowPolicyConfig(routing=ca, admission=adm, selection=tsel(mp=mp)), + ) + got = ngc.FlowPolicy(fg, 0, 1, ngc.FlowPolicyConfig(routing=ca)).config + assert (got.selection, got.selection.multipath, got.origin, got.placement) == ( + ngc.PathSelection(), + None, + ngc.Origin.EQUAL, + None, + ) + + +def test_count_range(): + # [1, 10000] at the policy; a bool or a float at Tunnels itself (the library's integer + # convention: ValueError). + fg = ngc.FlowLedger(one10()) + for n in (0, 10001, -1): + with pytest.raises( + ValueError, match=exact("tunnel count must be in [1, 10000]") + ): + policy(None, 0, 1, n, ledger=fg) + policy(None, 0, 1, 10000, ledger=fg) + for bad, kind in ((True, "bool"), (1.0, "float")): + with pytest.raises( + ValueError, match=exact(f"tunnel count must be an integer (got {kind})") + ): + ngc.Tunnels(bad) + + +def test_parameters(): + # The search minimum's domain, the unreserved texts and the ceilings' kept texts. + fg = ngc.FlowLedger(one10()) + for bad in (-1, L62): + with pytest.raises( + ValueError, + match=exact("min_unreserved_bandwidth must be an integer in [0, 2^62)"), + ): + policy(None, 0, 1, 1, ledger=fg, min_unreserved_bandwidth=bad) + policy(None, 0, 1, 1, ledger=fg, min_unreserved_bandwidth=L62 - 1) + with pytest.raises( + ValueError, match=exact("max_path_cost Absolute cost must be >= 0 (got -1)") + ): + policy(None, 0, 1, 1, ledger=fg, max_path_cost=ngc.Absolute(-1)) + with pytest.raises( + ValueError, + match=exact( + "max_path_cost Stretch factor must be finite and in [1, inf) (got 0.500000)" + ), + ): + policy(None, 0, 1, 1, ledger=fg, max_path_cost=ngc.Stretch(0.5)) + + +def test_tunnel_limit(): + # Heads after the mask times the count; FAN(107374) with N = 10000 just fits. + def fan(h): + return build(h + 1, [(i, h, 1, 1) for i in range(h)]) + + big = fan(107375) + with pytest.raises( + ValueError, + match=exact("tunnel limit exceeded: 107375 heads x 10000 tunnels > 1073741823"), + ): + policy(big, list(range(107375)), 107375, 10000) + policy( + big, + list(range(107375)), + 107375, + 10000, + elig=big.eligibility(excluded_nodes=[0]), + ) + policy(fan(107374), list(range(107374)), 107374, 10000) + + +def test_operations_and_design_validation(): + # Place rejected (also 0), forward needs a program, design_demand only + # for T1, in its domain, finite; the offer's checks first. + p = policy(one10(), 0, 1, 1) + for v in (5, 0): + with pytest.raises( + ValueError, match=exact("T1 does not support incremental placement") + ): + p.place(v) + with pytest.raises( + ValueError, match=exact("forward requires an installed program") + ): + p.forward(5) + dom = "design_demand must be an integer in [0, 2^62) or permitted +inf" + # 2**63 and -(2**64) overflow int64 in the binding: still the domain's error. + for bad in (-1, L62, 2**63, -(2**64), True, 1.5): + with pytest.raises(ValueError, match=exact(dom)): + p.replace(5, design_demand=bad) + with pytest.raises( + ValueError, + match=exact("offer must be an integer in [0, 2^62) or permitted +inf"), + ): + p.replace(-1, design_demand=-1) + for call in ( + lambda: p.replace(5, design_demand=INF), + lambda: p.replace(INF), + lambda: p.evaluate(INF), + ): + with pytest.raises( + ValueError, match=exact("T1 requires a finite design demand") + ): + call() + ly = policy(one10(), 0, 1, 1, LOSSY) + with pytest.raises( + ValueError, match=exact("LOSSY forwarding requires a finite offer") + ): + ly.replace(INF, design_demand=5) + g = one10() + pin = ngc.ForwardingProgram.from_routes(g, 0, 1, [ngc.Route(0, ngc.Path(g, [[0]]))]) + for cfg, model in ( + (COSTONLY, "CostOnly"), + (GLOBAL, "Global"), + (ngc.FlowPolicyConfig(routing=ngc.Pinned(pin)), "Pinned"), + ): + q = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg) + for call in (q.replace, q.evaluate): + with pytest.raises( + ValueError, match=exact(f"{model} does not accept design_demand") + ): + call(5, design_demand=5) + assert p.records() == [] + + +# ---------------------------------------------------------------- setup (T) + + +def test_priority_ties(): + # PARX, N = 2, D = 8. + g = graph([(0, 1, 4, 1), (0, 1, 10, 1)]) + for s, want, held in ( + (tsel(DETP, CAP), [[0], [1]], [4, 4]), + (tsel(PHP, CAP), [[1], [1]], [0, 8]), + (tsel(PHP, RES), [[1], [1]], [0, 8]), + (tsel(PHP, HEAD), [[0], [1]], [4, 4]), + ): + fg = ngc.FlowLedger(g) + r = ngc.FlowPolicy(fg, 0, 1, t1_config(2, selection=s)).replace( + 8, design_demand=8 + ) + assert (routes(r), fg.reserved().tolist()) == (want, held) + + +def test_priority_reads_unreserved(): + # PVIEW with unreserved [5, 8], N = 1, D = 4. + g = graph([(0, 1, 10, 1), (0, 1, 8, 1)]) + for s, want in ( + (tsel(DETP, CAP), [0]), + (tsel(PHP, CAP), [0]), + (tsel(PHP, RES), [1]), + (tsel(PHP, HEAD), [1]), + ): + fg = ngc.FlowLedger(g, unreserved=[5, 8]) + r = ngc.FlowPolicy(fg, 0, 1, t1_config(1, selection=s)).replace( + 4, design_demand=4 + ) + assert routes(r) == [want] + + +def test_filter_before_collapse_and_min_unreserved(): + # The filter before the collapse. + g = graph([(0, 1, 2, 1), (0, 1, 10, 1)]) + for me in (False, True): + r = ngc.FlowPolicy( + ngc.FlowLedger(g), 0, 1, t1_config(1, selection=tsel(me=me)) + ).replace(6, design_demand=6) + assert (routes(r), statuses(r)) == ([[1]], [UP]) + # PARC, N = 2, D = 2, minimum 5 and 0. + parc = graph([(0, 1, 4, 1), (0, 1, 10, 2)]) + for minimum, path, held, bound in ((5, [1], [0, 2], 10), (0, [0], [2, 0], 4)): + fg = ngc.FlowLedger(parc) + r = policy(parc, 0, 1, 2, ledger=fg, min_unreserved_bandwidth=minimum).replace( + INF, design_demand=2 + ) + assert (routes(r), fg.reserved().tolist(), r.placed) == ( + [path, path], + held, + bound, + ) + # ZL with minimum 1. + zl = graph([(0, 1, 0, 1), (0, 1, 10, 2)]) + fg = ngc.FlowLedger(zl) + r = policy(zl, 0, 1, 2, LOSSY, ledger=fg, min_unreserved_bandwidth=1).replace( + 2, design_demand=1 + ) + assert (requests(r), routes(r), fg.reserved().tolist(), r.placed) == ( + [1, 0], + [[1], [1]], + [0, 1], + 2, + ) + + +def test_other_owners_holds(): + g = one10() + fg = ngc.FlowLedger(g) + a = policy(g, 0, 1, 1, ledger=fg) + b = policy(g, 0, 1, 1, LOSSY, ledger=fg) + assert statuses(a.replace(6, design_demand=6)) == [UP] + assert (fg.reserved().tolist(), fg.unreserved().tolist()) == ([6], [4]) + down = b.replace(6, design_demand=6) + assert (statuses(down), down.call_source_loss) == ([NB], 6) + a.remove() + assert statuses(b.replace(6, design_demand=6)) == [UP] + assert fg.reserved().tolist() == [6] + + +def test_holds_do_not_queue(): + # Setup reads unreserved 10, forwarding the residual 0. + g = one10() + fg = ngc.FlowLedger(g) + c = ngc.FlowPolicy( + fg, + 0, + 1, + ngc.FlowPolicyConfig( + routing=ngc.CostOnly(), + placement=ngc.FlowPlacement.EQUAL_BALANCED, + admission=LOSSY, + ), + ) + assert c.replace(10).placed == 10 + r = policy(g, 0, 1, 1, LOSSY, ledger=fg).replace(4, design_demand=4) + assert (statuses(r), fg.reserved().tolist(), r.call_drops, r.placed) == ( + [UP], + [4], + [(0, 4)], + 0, + ) + + +def test_replace_evaluate_and_zero(): + fg = ngc.FlowLedger(one10()) + p = policy(None, 0, 1, 1, ledger=fg) + p.replace(6, design_demand=6) + first = p.records()[0].flow_id + r = p.replace(6, design_demand=6) + assert (statuses(r), fg.reserved().tolist()) == ([UP], [6]) + assert not (r.routes_changed or r.weights_changed or r.reservations_changed) + assert p.records()[0].flow_id != first + state = ledger_now(fg) + e = p.evaluate(3, design_demand=8, outputs=HOLDS) + assert ( + statuses(e), + requests(e), + e.program.tunnels[0].reserved, + e.plan.reserved_total, + ) == ([UP], [8], 8, 8) + assert (e.reservation_edge_flows.tolist(), e.placed) == ([8], 3) + assert ledger_now(fg) == state + fg2 = ngc.FlowLedger(one10()) + q = policy(None, 0, 1, 2, ledger=fg2) + z = q.replace(0) + assert ( + statuses(z), + requests(z), + fg2.reserved().tolist(), + z.termination, + z.placed, + ) == ( + [UP, UP], + [0, 0], + [0], + T.COMPLETE, + 0, + ) + z12 = q.replace(0, design_demand=12) + assert (requests(z12), statuses(z12), fg2.reserved().tolist()) == ( + [6, 6], + [UP, NB], + [6], + ) + + +def test_infinite_offer_masked_source_and_empty_roster(): + r = policy(par612(), 0, 1, 4).replace(INF, design_demand=12) + assert (r.placed, r.remaining, r.requested, r.unadmitted, r.termination) == ( + 12, + INF, + INF, + None, + T.EXHAUSTED, + ) + g = twoh(10, 10) + r = policy(g, [0, 1], 2, 2, LOSSY, elig=g.eligibility(excluded_nodes=[0])).replace( + 10, design_demand=10 + ) + assert (requests(r), r.plan.head_design) == ([5, 5], ((1, 10),)) + assert source_rows(r) == [(0, 0, 0, 0, 0, 0), (1, 10, 10, 10, 0, 0)] + # EMPTY. + empty = build(3, [(1, 2, 5, 1)]) + p = policy(empty, 0, 2, 2, LOSSY) + r = p.replace(5, design_demand=5) + assert ( + r.termination, + r.program.sources, + r.program.destinations, + r.program.tunnels, + ) == ( + T.NO_ROUTE, + (0,), + (2,), + (), + ) + assert ( + r.plan.count, + r.plan.design_demand, + r.plan.head_design, + r.plan.reserved_total, + ) == (2, 5, (), 0) + assert (r.call_source_loss, source_rows(r)) == (5, [(0, 0, 0, 0, 0, 0)]) + for z in ( + p.replace(0, design_demand=5), + p.evaluate(0, design_demand=5), + p.forward(0), + ): + assert (z.termination, z.program.tunnels) == (T.COMPLETE, ()) + assert p.records() == [] + + +def test_all_down_and_round_order(): + # Every tunnel down (design 14 asks 7 per tunnel, no path has 7); the round order. + for offer in (5, 14): + r = policy(diam5(), 0, 3, 2, LOSSY).replace(offer, design_demand=14) + assert (statuses(r), r.call_source_loss, r.placed, r.termination) == ( + [NB, NB], + offer, + 0, + T.COMPLETE, + ) + s = policy(diam5(), 0, 3, 2).replace(offer, design_demand=14) + assert (s.placed, s.termination) == (0, T.EXHAUSTED) + r = policy(twoh(10, 10), [0, 1], 2, 2).replace(10, design_demand=10) + assert requests(r) == [3, 3, 2, 2] + assert [(t.index, t.head, t.local_index) for t in r.program.tunnels] == [ + (0, 0, 0), + (1, 1, 0), + (2, 0, 1), + (3, 1, 1), + ] + + +def test_by_tunnel_and_stretch(): + r = policy(par612(), 0, 1, 4, LOSSY).replace(13, design_demand=12) + assert rows(r) == [ + (0, 0, UP, 4, 4, 0), + (1, 0, UP, 3, 2, 1), + (2, 0, UP, 3, 3, 0), + (3, 0, UP, 3, 3, 0), + ] + assert (r.call_drops, r.placed) == ([(0, 1)], 12) + # The pool baseline; a huge factor compares exactly. + for f, second in ((2.0, CC), (1e300, UP)): + r = policy(x8(), [0, 1], 2, 1, LOSSY, max_path_cost=ngc.Stretch(f)).replace( + 4, design_demand=4 + ) + assert statuses(r) == [NB, second] + + +def test_flags(): + p = policy(diam5(), 0, 3, 2) + a = p.replace(8, design_demand=8) + b = p.replace(10, design_demand=10) + f = p.forward(10) + assert (a.routes_changed, a.weights_changed, a.reservations_changed) == ( + True, + True, + True, + ) + assert (b.routes_changed, b.weights_changed, b.reservations_changed) == ( + True, + True, + True, + ) + assert (f.routes_changed, f.weights_changed, f.reservations_changed) == (False,) * 3 + d = policy(diam5(), 0, 3, 2, LOSSY).replace(5, design_demand=14) + assert (d.routes_changed, d.weights_changed, d.reservations_changed) == ( + True, + False, + True, + ) + # Equal requests, changed holds: two links of 4, N = 2, D = 8. Another owner's hold of 1 on + # e0 leaves tunnel 1 down (reserved 4, 0); once it leaves, both come up (reserved 4, 4). + g = graph([(0, 1, 4, 1), (0, 1, 4, 1)]) + fg = ngc.FlowLedger(g) + other = policy(None, 0, 1, 1, ledger=fg) + other.replace(1, design_demand=1) + mine = policy(None, 0, 1, 2, ledger=fg) + held = mine.replace(8, design_demand=8) + other.remove() + freed = mine.replace(8, design_demand=8) + assert (statuses(held), statuses(freed)) == ([UP, NB], [UP, UP]) + assert [t.reserved for t in held.program.tunnels] == [4, 0] + assert requests(held) == requests(freed) == [4, 4] + assert freed.reservations_changed + + +def test_pinned_over_a_t1_program_reserves_nothing(): + # Pinned forwards an imported T1 program and books no holds: its first evaluate, replace + # and place report no reservation change, the program keeps the imported requests and holds + # as data, and the ledger and the records hold nothing. Also for an all-down program whose + # requests are positive (a request of 20 on one link of 10). + g = one10() + up = policy(g, 0, 1, 1).replace(0, design_demand=6).program + down = policy(g, 0, 1, 1).replace(0, design_demand=20).program + assert [(t.status, t.requested, t.reserved) for t in up.tunnels] == [(UP, 6, 6)] + assert [(t.status, t.requested, t.reserved) for t in down.tunnels] == [(NB, 20, 0)] + for prog in (up, down): + for op in ("evaluate", "replace", "place"): + fg = ngc.FlowLedger(g) + p = pinned(g, prog, 0, 1, LOSSLESS, ledger=fg) + r = getattr(p, op)(1) + assert not r.reservations_changed, (prog.tunnels[0].status, op) + assert r.plan is None + assert [(t.requested, t.reserved) for t in r.program.tunnels] == [ + (t.requested, t.reserved) for t in prog.tunnels + ] + assert fg.reserved().tolist() == [0] + assert all(rec.reserved_edges == [] for rec in p.records()) + + +# ---------------------------------------------------------------- records, rows, terminations (F) + + +def test_rows(): + # The 6.6 policy's rows and records; forward recreates the records with their holds. + p = policy(twoh(2, 10), [0, 1], 2, 2, LOSSY) + r = p.replace(12, design_demand=12) + assert rows(r) == [ + (0, 0, NB, 0, 0, 0), + (1, 1, UP, 3, 3, 0), + (2, 0, NB, 0, 0, 0), + (3, 1, UP, 3, 3, 0), + ] + assert source_rows(r) == [(0, 6, 6, 0, 6, 0), (1, 6, 6, 6, 0, 0)] + recs = p.records() + assert [rec.entry for rec in recs] == [0, 1, 2, 3] + assert [rec.route_cost for rec in recs] == [None, 1, None, 1] + assert [len(rec.bundle.via_edges()) for rec in recs] == [0, 1, 0, 1] + ids = [rec.flow_id for rec in recs] + f = p.forward(8) + assert not (f.routes_changed or f.weights_changed or f.reservations_changed) + after = p.records() + assert [rec.reserved_edges for rec in after] == [rec.reserved_edges for rec in recs] + assert all(a.flow_id != b for a, b in zip(after, ids, strict=True)) + + +def test_terminations(): + # Zero offer, Lossy finite, Lossless full and partial, unlimited; a zero-weight route. + p = policy(one10(), 0, 1, 1) + assert p.replace(0, design_demand=5).termination == T.COMPLETE + assert p.replace(10, design_demand=10).termination == T.COMPLETE + assert p.replace(11, design_demand=10).termination == T.EXHAUSTED + assert p.replace(INF, design_demand=10).termination == T.EXHAUSTED + assert ( + policy(one10(), 0, 1, 1, LOSSY).replace(11, design_demand=10).termination + == T.COMPLETE + ) + g = one10() + prog = ngc.ForwardingProgram.from_routes( + g, 0, 1, [ngc.Route(0, ngc.Path(g, [[0]]), weight=0)] + ) + for adm in (LOSSLESS, LOSSY): + z = ngc.FlowPolicy( + ngc.FlowLedger(g), + 0, + 1, + ngc.FlowPolicyConfig(routing=ngc.Pinned(prog), admission=adm), + ) + assert z.replace(4).termination == T.NO_ACTIVE_WEIGHT + + +def test_no_certificates_and_plan_only_for_t1(): + g = twoh(2, 10) + r = policy(g, [0, 1], 2, 2).replace( + INF, design_demand=12, outputs=ngc.OutputOptions(min_cut=True) + ) + assert (r.total_cost, r.min_cut, r.cost_distribution) == (None, None, None) + assert isinstance(r.plan, ngc.TunnelPlan) + pin = ngc.FlowPolicy( + ngc.FlowLedger(g), + [0, 1], + 2, + ngc.FlowPolicyConfig(routing=ngc.Pinned(r.program)), + ) + assert pin.replace(12).plan is None + for cfg in (COSTONLY, GLOBAL): + q = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, cfg) + assert q.place(5).plan is None and q.replace(5).plan is None + with pytest.raises(TypeError): + ngc.TunnelPlan() + + +# ---------------------------------------------------------------- programs (P) + + +def test_program_fields(): + r = policy(twoh(2, 10), [0, 1], 2, 2, LOSSY).replace(12, design_demand=12) + got = [ + ( + t.index, + t.head, + t.local_index, + t.status, + t.requested, + t.reserved, + t.weight, + t.destination, + t.edges, + t.route_cost, + ) + for t in r.program.tunnels + ] + assert got == [ + (0, 0, 0, NB, 3, 0, 0, None, None, None), + (1, 1, 0, UP, 3, 3, 1, 2, (1,), 1), + (2, 0, 1, NB, 3, 0, 0, None, None, None), + (3, 1, 1, UP, 3, 3, 1, 2, (1,), 1), + ] + assert (r.program.sources, r.program.destinations, r.program.source_weights) == ( + (0, 1), + (2,), + None, + ) + # Two-hop tunnels end at the destination: DIAM5, N = 2, D = 10 (requests 5, 5; e2 of 4 is + # filtered out): tunnel 0 takes e0 e3, tunnel 1 e1 e4, both cost 4, both to node 3. + two = policy(diam5(), 0, 3, 2).replace(10, design_demand=10) + assert [(t.edges, t.destination, t.route_cost) for t in two.program.tunnels] == [ + ((0, 3), 3, 4), + ((1, 4), 3, 4), + ] + g = twoh(2, 10) + for t in ( + ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, GLOBAL).place(12).program.tunnels + ): + assert (t.status, t.requested, t.reserved) == (UP, 0, 0) + assert t.destination == 2 and t.edges is not None and t.route_cost is not None + supplied = ngc.ForwardingProgram.from_routes( + g, [0, 1], 2, [ngc.Route(0, ngc.Path(g, [[0]]))] + ) + assert [ + (t.status, t.requested, t.reserved, t.destination) for t in supplied.tunnels + ] == [(UP, 0, 0, 2)] + + +def pinned(g, prog, s, d, admission=LOSSY, elig=None, black_holes=None, ledger=None): + cfg = ngc.FlowPolicyConfig( + routing=ngc.Pinned(prog, black_holes=black_holes), admission=admission + ) + ledger = ledger if ledger is not None else ngc.FlowLedger(g) + return ngc.FlowPolicy(ledger, s, d, cfg, elig) + + +def test_t1_replay_stale_and_down_tunnels(): + g = par612() + prog = policy(g, 0, 1, 4, LOSSY).replace(13, design_demand=12).program + mask = g.eligibility(excluded_edges=[0]) + r = pinned(g, prog, 0, 1, elig=mask).replace(13) + assert rows(r) == [ + (0, 0, FAILED, 0, 0, 0), + (1, 0, FAILED, 0, 0, 0), + (2, 0, UP, 7, 3, 4), + (3, 0, UP, 6, 3, 3), + ] + assert (r.placed, r.call_drops) == (6, [(1, 7)]) + assert pinned(g, prog, 0, 1, LOSSLESS, elig=mask).replace(13).placed == 6 + # Node 2 a black hole; the live forward the same, holds kept. + g = diam5() + fg = ngc.FlowLedger(g) + p = policy(g, 0, 3, 2, LOSSY, ledger=fg) + prog = p.replace(10, design_demand=10).program + dark = g.eligibility(excluded_nodes=[2]) + r = pinned(g, prog, 0, 3, black_holes=dark).replace(10) + assert rows(r) == [(0, 0, UP, 5, 5, 0), (1, 0, BLACKHOLED, 5, 0, 5)] + assert (r.call_drops, r.placed) == ([(1, 5)], 5) + assert pinned(g, prog, 0, 3, LOSSLESS, black_holes=dark).replace(10).placed == 1 + held = fg.reserved().tolist() + f = p.forward(10, black_holes=dark) + assert (rows(f), f.placed, fg.reserved().tolist()) == (rows(r), 5, held) + assert [t.status for t in p.program.tunnels] == [UP, UP] + g = twoh(2, 10) + live = policy(g, [0, 1], 2, 2, LOSSY).replace(12, design_demand=12) + pin = pinned(g, live.program, [0, 1], 2) + r = pin.replace(12) + assert (r.placed, r.call_source_loss, rows(r), r.plan, r.termination) == ( + 6, + 6, + rows(live), + None, + T.COMPLETE, + ) + # The replay roster comes from the topology basis: head 0 keeps its share and loses it. + rg = graph([(0, 2, 10, 1), (0, 3, 10, 5), (1, 2, 10, 1), (3, 2, 10, 5)]) + prog = policy(rg, [0, 1], 2, 1, LOSSY).replace(10, design_demand=10).program + x = pinned(rg, prog, [0, 1], 2, elig=rg.eligibility(excluded_edges=[0])).replace(10) + assert (x.placed, x.call_source_loss, x.termination) == (5, 5, T.COMPLETE) + assert source_rows(x) == [(0, 5, 5, 0, 5, 0), (1, 5, 5, 5, 0, 0)] + + +# ---------------------------------------------------------------- evaluators (Q) + + +def q(cfg, **kw): + return ngc.QueryOptions(cfg, **kw) + + +def test_capacity(): + g = par612() + assert ngc.capacity(g, 0, 1, q(t1_config(4), design_demand=12)).placed == 12 + r = ngc.capacity(g, 0, 1, q(t1_config(4, LOSSY), design_demand=12, offered=13)) + assert (r.placed, r.call_drops, r.plan.reserved_total) == (12, [(0, 1)], 12) + for opts, text in ( + (q(t1_config(4)), "T1 capacity requires design_demand"), + (q(t1_config(4, LOSSY)), "T1 capacity requires design_demand"), + (q(t1_config(4), design_demand=INF), "T1 requires a finite design demand"), + ( + q(t1_config(4, LOSSY), design_demand=12), + "T1 LOSSY capacity requires finite offered", + ), + ( + q(t1_config(4, LOSSY), design_demand=12, offered=INF), + "T1 LOSSY capacity requires finite offered", + ), + ( + q(t1_config(4), design_demand=12, offered=5), + "T1 LOSSLESS capacity does not accept offered", + ), + (q(COSTONLY, design_demand=5), "CostOnly does not accept design_demand"), + (q(GLOBAL, design_demand=5), "Global does not accept design_demand"), + ): + with pytest.raises(ValueError, match=exact(text)): + ngc.capacity(g, 0, 1, opts) + with pytest.raises( + ValueError, + match=exact("design_demand must be an integer in [0, 2^62) or permitted +inf"), + ): + q(t1_config(4), design_demand=-1) + assert q(t1_config(4), design_demand=INF).design_demand == INF + assert ( + q(t1_config(4), design_demand=7).design_demand == 7 + and q(COSTONLY).design_demand is None + ) + prog = ngc.ForwardingProgram.from_routes( + g, 0, 1, [ngc.Route(0, ngc.Path(g, [[0]]))] + ) + with pytest.raises(ValueError, match=exact("Pinned does not accept design_demand")): + ngc.capacity( + g, 0, 1, q(ngc.FlowPolicyConfig(routing=ngc.Pinned(prog)), design_demand=5) + ) + rs = ngc.batch_capacity(one10(), [(0, 1), (0, 1)], q(t1_config(1), design_demand=6)) + assert [r.placed for r in rs] == [10, 10] + + +def test_sensitivity(): + # X8, design 4: the bound is 0 (head 0's tunnel is down and its head keeps a share); + # deleting the zero-capacity e0 drops head 0, so the bound rises by 8; deleting e1 loses 0. + s = ngc.sensitivity(x8(), [0, 1], 2, q(t1_config(1), design_demand=4)) + assert (s.baseline.placed, [(e.edge, e.loss) for e in s.entries]) == ( + 0, + [(0, -8), (1, 0)], + ) + g = graph([(0, 1, 6, 1), (0, 1, 6, 2), (2, 0, 5, 1)]) + s = ngc.sensitivity(g, 0, 1, q(t1_config(4), design_demand=12)) + assert [(e.edge, e.loss) for e in s.entries] == [(0, 6), (1, 6), (2, 0)] + zero = q(t1_config(1, LOSSY), design_demand=4, offered=0) + r = ngc.capacity(x8(), [0, 1], 2, zero) + assert (r.termination, r.placed) == (T.COMPLETE, 0) + assert all(e.loss == 0 for e in ngc.sensitivity(x8(), [0, 1], 2, zero).entries) + # Everything masked. + gm = x8() + masked = q( + t1_config(1), design_demand=4, elig=gm.eligibility(excluded_edges=[0, 1]) + ) + r = ngc.capacity(gm, [0, 1], 2, masked) + assert (r.termination, r.placed) == (T.NO_ROUTE, 0) + assert [x.termination for x in ngc.batch_capacity(gm, [([0, 1], 2)], masked)] == [ + T.NO_ROUTE + ] + + +# ---------------------------------------------------------------- multipath None (M) + + +def test_multipath_none(): + # None equals True for the searches and CostOnly on random graphs; the pooled + # single-path rule fires on False only. + rng = random.Random(4) + compared = 0 + for _ in range(60): + n = rng.randint(3, 6) + rows_ = sorted( + (u, v, rng.randint(0, 5), rng.randint(1, 3)) + for u, v in ( + (rng.randrange(n), rng.randrange(n)) for _ in range(rng.randint(3, 10)) + ) + if u != v + ) + if not rows_: + continue + g = build(n, rows_) + for tie in (DETP, PHP): + a = ngc.spf( + g, + 0, + ngc.SpfOptions( + ngc.Direction.FORWARD, ngc.PathSelection(tie, CAP, None, True) + ), + ) + b = ngc.spf( + g, + 0, + ngc.SpfOptions( + ngc.Direction.FORWARD, ngc.PathSelection(tie, CAP, True, True) + ), + ) + assert (a.costs.tolist(), a.dag.via_edges().tolist()) == ( + b.costs.tolist(), + b.dag.via_edges().tolist(), + ) + cfgs = [ + ngc.FlowPolicyConfig( + routing=ngc.CostOnly(), + placement=ngc.FlowPlacement.EQUAL_BALANCED, + selection=ngc.PathSelection(tie, CAP, mp, True), + ) + for mp in (None, True) + ] + got = [ + ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], n - 1, c).place(INF).placed + for c in cfgs + ] + assert got[0] == got[1] + compared += 1 + assert compared > 50 + g = twoh(10, 10) + pooled = ngc.FlowPolicyConfig( + routing=ngc.CostOnly(), + placement=ngc.FlowPlacement.EQUAL_BALANCED, + selection=ngc.PathSelection(PHP, CAP, None, True), + ) + ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, pooled) + single = ngc.FlowPolicyConfig( + routing=ngc.CostOnly(), + placement=ngc.FlowPlacement.EQUAL_BALANCED, + selection=ngc.PathSelection(PHP, CAP, False, True), + ) + with pytest.raises( + ValueError, match="rejects multipath=false with PREFER_HIGHER_PRIORITY" + ): + ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, single) + + +# ---------------------------------------------------------------- numeric ranges (W) + + +def test_ranges(): + # ONEMAX. + m = L62 - 1 + g = graph([(0, 1, m, 1)]) + fg = ngc.FlowLedger(g) + r = policy(g, 0, 1, 1, LOSSY, ledger=fg).replace(m, design_demand=m) + assert ( + statuses(r), + r.plan.reserved_total, + fg.reserved().tolist(), + fg.unreserved().tolist(), + r.placed, + ) == ( + [UP], + m, + [m], + [0], + m, + ) + assert policy(g, 0, 1, 1).replace(INF, design_demand=m).placed == m + fg = ngc.FlowLedger(g) + half = 1 << 61 + assert statuses( + policy(g, 0, 1, 1, ledger=fg).replace(half, design_demand=half) + ) == [UP] + assert statuses( + policy(g, 0, 1, 1, ledger=fg).replace(half, design_demand=half) + ) == [NB] + assert fg.unreserved().tolist() == [half - 1] + # FAN4MAX with N = 10000: 40000 tunnels, all up, the design carried whole. + cap = (1 << 60) - 1 + g = graph([(i, 4, cap, 1) for i in range(4)]) + fg = ngc.FlowLedger(g) + D = L62 - 4 + r = policy(g, [0, 1, 2, 3], 4, 10000, ledger=fg).replace(D, design_demand=D) + reqs = [t.requested for t in r.program.tunnels] + assert len(reqs) == 40000 and all(t.status == UP for t in r.program.tunnels) + assert (reqs.count(115292150460685), reqs.count(115292150460684)) == ( + 4 * 6975, + 4 * 3025, + ) + assert (sum(reqs), r.plan.reserved_total, fg.reserved().tolist(), r.placed) == ( + D, + D, + [cap] * 4, + D, + ) + + +# ---------------------------------------------------------------- zero offers and masks (E) + + +def test_zero_and_masked(): + for adm in (LOSSLESS, LOSSY): + fg = ngc.FlowLedger(twoh(2, 10)) + p = policy(None, [0, 1], 2, 2, adm, ledger=fg) + r = p.replace(0, design_demand=12) + assert (r.termination, r.placed, statuses(r), fg.reserved().tolist()) == ( + T.COMPLETE, + 0, + [NB, UP, NB, UP], + [0, 6], + ) + assert [(rec.entry, rec.delivered) for rec in p.records()] == [ + (0, 0), + (1, 0), + (2, 0), + (3, 0), + ] + state = ledger_now(fg) + assert ( + p.evaluate(0, design_demand=12).termination == T.COMPLETE + and ledger_now(fg) == state + ) + f = p.forward(0) + assert ( + f.termination, + f.program is r.program or f.program.tunnels == r.program.tunnels, + ) == (T.COMPLETE, True) + assert not (f.routes_changed or f.weights_changed or f.reservations_changed) + assert fg.reserved().tolist() == [0, 6] + d = policy(diam5(), 0, 3, 2, adm) + assert d.replace(0, design_demand=14).termination == T.COMPLETE + assert d.replace(5, design_demand=14).termination == ( + T.COMPLETE if adm == LOSSY else T.EXHAUSTED + ) + assert [rec.entry for rec in d.records()] == [0, 1] + assert d.forward(0).termination == T.COMPLETE + g = twoh(10, 10) + e = policy(g, [0, 1], 2, 2, adm, elig=g.eligibility(excluded_edges=[0, 1])) + assert e.replace(5, design_demand=5).termination == T.NO_ROUTE + assert ( + e.replace(0, design_demand=5).termination == T.COMPLETE + and e.records() == [] + ) + # Pinned over the 6.6 program. + g = twoh(2, 10) + prog = policy(g, [0, 1], 2, 2, LOSSY).replace(12, design_demand=12).program + x = pinned(g, prog, [0, 1], 2, adm, elig=g.eligibility(excluded_edges=[1])) + r = x.replace(12) + assert r.termination == T.NO_ACTIVE_WEIGHT + assert [t.status for t in r.by_tunnel] == [NB, FAILED, NB, FAILED] + if adm == LOSSY: + assert source_rows(r) == [(0, 12, 12, 0, 12, 0), (1, 0, 0, 0, 0, 0)] + assert x.replace(0).termination == T.COMPLETE + assert [rec.entry for rec in x.records()] == [0, 1, 2, 3] + y = pinned(g, prog, [0, 1], 2, adm, elig=g.eligibility(excluded_nodes=[0, 1])) + assert ( + y.replace(12).termination, + y.replace(0).termination, + len(y.records()), + ) == (T.NO_ROUTE, T.COMPLETE, 4) + + +# ---------------------------------------------------------------- the property against the oracle + + +def _random_case(rng): + """A small random graph with a route from 0 to the last node: rows (u, v, capacity, cost).""" + n = rng.randint(3, 6) + raw = [ + (i, i + 1, rng.choice([0, 2, 4, 6, 8]), rng.randint(1, 4)) for i in range(n - 1) + ] + for _ in range(rng.randint(1, 7)): + u, v = rng.randrange(n - 1), rng.randrange(1, n) + if u != v: + raw.append((u, v, rng.choice([0, 1, 2, 3, 4, 6, 8]), rng.randint(1, 4))) + rng.shuffle(raw) + return n, raw + + +def test_property(): + rng = random.Random(20261018) + setups = lossless = lossy_cmp = all_up = 0 + for trial in range(400): + n, rows_ = _random_case(rng) + if not rows_: + continue + g = build(n, rows_) + # The oracle's edges in EdgeId order (the graph's own order of the input rows). + edges = [rows_[int(i)] for i in g.input_index()] + sources = sorted(rng.sample(range(n - 1), rng.randint(1, min(2, n - 1)))) + dests = [n - 1] + mask = None + elig = None + if rng.random() < 0.3: + xe = [rng.randrange(len(rows_))] + mask = ([], xe) + elig = g.eligibility(excluded_edges=xe) + caps = [c for _, _, c, _ in edges] + unres = [rng.randint(0, c) for c in caps] if rng.random() < 0.4 else list(caps) + resid = [rng.randint(0, c) for c in caps] if rng.random() < 0.4 else list(caps) + fg = ngc.FlowLedger(g, resid, unreserved=unres) + held = [0] * len(rows_) + if rng.random() < 0.3 and sources: + other = ngc.FlowPolicy(fg, sources[:1], dests, t1_config(1)) + other.replace(0, design_demand=rng.randint(0, 4)) + held = fg.reserved().tolist() + php = rng.random() < 0.5 + prio = rng.choice(["CAPACITY", "RESIDUAL", "HEADROOM"]) + me = rng.random() < 0.7 + s = ngc.PathSelection( + PHP if php else DETP, + getattr(ngc.EdgePriority, prio), + rng.choice([None, False]), + me, + ) + minimum = rng.choice([0, 0, 1, 2]) + ceiling = rng.choice( + [ + None, + None, + ("abs", rng.randint(1, 6)), + ("str", rng.choice([1.0, 1.5, 2.0])), + ] + ) + kw = {"min_unreserved_bandwidth": minimum} + okw = {"minimum": minimum} + if ceiling and ceiling[0] == "abs": + kw["max_path_cost"], okw["absolute"] = ngc.Absolute(ceiling[1]), ceiling[1] + elif ceiling: + kw["max_path_cost"], okw["stretch"] = ngc.Stretch(ceiling[1]), ceiling[1] + N = rng.randint(1, 3) + D = rng.randint(0, 12) + want = orc.setup( + edges, + sources, + dests, + D, + N, + sel=orc.Selection(php, prio, me), + mask=mask, + unreserved=fg.unreserved().tolist(), + held=None, + service=fg.residual().tolist(), + **okw, + ) + before_holds = fg.reserved().tolist() + V = fg.residual().tolist() + p = ngc.FlowPolicy(fg, sources, dests, t1_config(N, selection=s, **kw), elig) + r = p.replace(INF, design_demand=D) + where = (trial, rows_, sources, D, N, s, kw) + got = [ + (t.status.name, list(t.edges or []), t.requested) for t in r.program.tunnels + ] + assert got == [(t.status, t.path or [], t.requested) for t in want.tunnels], ( + where + ) + setups += 1 + # Every up path passed its filter; holds = the up requests; within R0. + assert [ + a - b for a, b in zip(fg.reserved().tolist(), before_holds, strict=True) + ] == want.holds, where + assert all( + x <= u for x, u in zip(fg.reserved().tolist(), unres, strict=True) + ), where + # The lossless bound of 8.3 on the service view. + if want.roster: + assert r.placed == orc.lossless_bound( + edges, want.roster, want.tunnels, V + ), where + lossless += 1 + # 6.5: every tunnel up and U <= V: the design is carried losslessly. + U = [u - h for u, h in zip(unres, held, strict=True)] + if ( + want.roster + and all(t.up for t in want.tunnels) + and all(a <= b for a, b in zip(U, V, strict=True)) + ): + assert p.replace(D, design_demand=D).placed == D, where + all_up += 1 + # Lossy: the oracle's loss rule, conservation and the setup independent of the offer. + offer = rng.randint(0, 14) + # The same setup view: the other owner's holds taken out of the reservation baseline. + seen = [u - h for u, h in zip(unres, held, strict=True)] + lp = ngc.FlowPolicy( + ngc.FlowLedger(g, resid, unreserved=seen), + sources, + dests, + t1_config(N, LOSSY, selection=s, **kw), + elig, + ) + lr = lp.replace(offer, design_demand=D) + assert [(t.status.name, list(t.edges or [])) for t in lr.program.tunnels] == [ + (a, b) for a, b, _ in got + ], where + assert ( + lr.offered == lr.source_loss + sum(x for _, x in lr.drops) + lr.delivered + ), where + assert ( + lr.offered == sum(row.offered for row in lr.by_source) or not want.roster + ), where + if want.roster: + try: + delivered, lost, per, _ = orc.lossy( + edges, want.roster, want.tunnels, offer, V + ) + except AssertionError: + continue + assert (lr.placed, lr.call_source_loss) == (delivered, lost), where + assert [ + (t.assigned, t.delivered, t.dropped) for t in lr.by_tunnel + ] == per, where + lossy_cmp += 1 + # Not vacuous. + assert setups > 300 and lossless > 250 and lossy_cmp > 200 and all_up > 20, ( + setups, + lossless, + lossy_cmp, + all_up, + ) + + +# ---------------------------------------------------------------- Python allocation failures + + +@needs_hooks +@pytest.mark.parametrize("method", ["replace", "evaluate", "forward"]) +def test_t1_results_survive_python_allocation_failures(method): + # Every Python object of a T1 result (the plan, tunnels with None fields, reserved_edges) + # exists before anything is published. The calls are positional (the design is the offer): + # pybind11's parsing of a call that passes keywords does not check its allocations, so a + # keyword call may crash there (limit 1 of the module docstring). + g = twoh(2, 10) + + def make(): + fg = ngc.FlowLedger(g) + p = ngc.FlowPolicy(fg, [0, 1], 2, t1_config(2, LOSSY)) + p.replace(4, design_demand=12) + + def snapshot(): + return [full_ledger_state(fg), repr(p._state())] + + return getattr(p, method), (8,), snapshot + + assert sweep_python_allocation(make) >= 3 + + +GETTER_SWEEP = """ +import _netgraph_core as ext, netgraph_core as ngc +g = ngc.Graph(3, [0, 1], [2, 2], [2, 10], [1, 1], 1.0) +fg = ngc.FlowLedger(g) +cfg = ngc.FlowPolicyConfig(routing=ngc.CapacityAware(ngc.Tunnels(2)), admission=ngc.Admission.LOSSY) +p = ngc.FlowPolicy(fg, [0, 1], 2, cfg) +r = p.replace(12, design_demand=12) +fid = p.records()[0].flow_id +ca = cfg.routing +t0 = r.program.tunnels[0] +abs3 = ngc.CapacityAware(ngc.Tunnels(2), max_path_cost=ngc.Absolute(3)) +st2 = ngc.CapacityAware(ngc.Tunnels(2), max_path_cost=ngc.Stretch(2.0)) +fn = lambda: {getter} +for k in range(400): + hit, seen, value, error = ext._fail_python_allocation(fn, (), k) + if not hit: + break + assert value is None and isinstance(error, (MemoryError, RuntimeError)), (k, error) +else: + raise SystemExit("never completed") +print("failures", k) +""" + + +@needs_hooks +@pytest.mark.parametrize( + "getter", + [ + "r.program.tunnels", + "fg.reserved()", + "fg.unreserved()", + "r.plan", + "r.plan.head_design", + "ca.tunnels", + "t0.status", + "repr(abs3)", + "repr(st2)", + "p.records()", + "p.record(fid)", + "fg.records()", + "fg.record(fid)", + ], +) +def test_t1_getters_survive_python_allocation_failures(getter): + # Each getter's sweep runs in its own process: a crash fails the test instead of the run. + import subprocess + import sys + + done = subprocess.run( + [sys.executable, "-c", GETTER_SWEEP.format(getter=getter)], + capture_output=True, + text=True, + timeout=300, + ) + assert done.returncode == 0, (getter, done.returncode, done.stderr[-400:]) + assert int(done.stdout.split()[-1]) >= 1 diff --git a/tests/py/test_zero_capacity.py b/tests/py/test_zero_capacity.py index 98a95ef..4044b54 100644 --- a/tests/py/test_zero_capacity.py +++ b/tests/py/test_zero_capacity.py @@ -1,7 +1,8 @@ -"""Edges of capacity 0 stay in routing, through the binding: the contract's step-1 examples -(SPF-zero-edge, KSP-zero-edge and their residual forms, the owner page's G8, B3, E-zero-first and -E-zero-last, D-zero-service, the zero-weight WCMP cases, A-X8's delivery and A-X8-Stretch-exact's -baseline) and the minimum cut. The graphs list their rows in EdgeId order (asserted), so an +"""Edges of capacity 0 stay in routing, through the binding: the contract's examples of zero +capacity (SPF and KSP over the zero edge and their residual forms, the search graph S under every +model, a source behind a zero link, a zero first or last link of a Pinned split route, a link of +service 0, the zero-weight WCMP cases, T1's roster and its Stretch pool baseline) and the minimum +cut. The graphs list their rows in EdgeId order (asserted), so an EdgeId is the row's position. S: 0: 0 -> 1 cap 0, 1: 0 -> 2 cap 5, 2: 2 -> 1 cap 5 (costs 1).""" from __future__ import annotations @@ -9,7 +10,7 @@ import math import pytest -from helpers import COSTONLY, GLOBAL, PREFER, config, dag_of, sel +from helpers import COSTONLY, GLOBAL, PREFER, config, dag_of, sel, t1_config import netgraph_core as ngc @@ -44,7 +45,7 @@ def place(g, s, d, cfg, volume, elig=None): def test_spf_and_ksp_search_the_zero_edge(): g = graph(3, S) r = ngc.spf(g, 0, ngc.SpfOptions(FWD, sel(), targets=1)) - assert (r.target_cost, edges(r.dag)) == (1, [0]) # SPF-zero-edge + assert (r.target_cost, edges(r.dag)) == (1, [0]) # SPF over the zero edge gated = ngc.spf(g, 0, ngc.SpfOptions(FWD, sel(), targets=1, residual=[0, 5, 5])) assert (gated.target_cost, edges(gated.dag)) == (2, [1, 2]) full = ngc.spf(g, 0, ngc.SpfOptions(FWD, sel())) @@ -52,7 +53,7 @@ def test_spf_and_ksp_search_the_zero_edge(): assert walks(ngc.ksp(g, 0, 1, ngc.KspOptions(2, sel()))) == [(1, [0]), (2, [1, 2])] opts = ngc.KspOptions(2, sel(), residual=[0, 5, 5]) assert walks(ngc.ksp(g, 0, 1, opts)) == [(2, [1, 2])] - # A-X8-Stretch-exact: the static baseline 5 counts the zero-capacity edge; 1.2 * 5 < 6. + # Stretch(1.2): the static baseline 5 counts the zero-capacity edge; 1.2 * 5 < 6. h = graph(2, [(0, 1, 0, 5), (0, 1, 1, 6)]) ceiled = ngc.KspOptions(2, sel(), max_path_cost=ngc.Stretch(1.2)) assert walks(ngc.ksp(h, 0, 1, ceiled)) == [(5, [0])] @@ -92,7 +93,11 @@ def test_g8_for_every_model(): assert (r.placed, r.drops) == (0, []) # weight 0: no member, never a bypass assert place(g, 0, 1, config(ngc.CostOnly(), MF), 5)[0].placed == 0 assert place(g, 0, 1, GLOBAL, 5)[0].placed == 5 - assert place(g, 0, 1, config(ngc.CapacityAware()), 5)[0].placed == 5 + # T1: the request of 5 filters the zero link out; the tunnel comes up over 0 -> 2 -> 1. + t1 = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, t1_config(1)).replace( + 5, design_demand=5 + ) + assert (t1.placed, t1.program.tunnels[0].edges) == (5, (1, 2)) def test_equal_and_weighted_splits_over_a_zero_member(): @@ -103,14 +108,14 @@ def test_equal_and_weighted_splits_over_a_zero_member(): r, _ = place(first, 0, 1, config(ngc.CostOnly(), EB, LOSSY), 10) assert (r.placed, r.drops) == (5, [(0, 5)]) assert place(first, 0, 1, config(ngc.CostOnly(), W), 10)[0].placed == 10 - # STALE-wcmp-zero-capacity and STALE-all-zero-weight. + # A WCMP member of capacity 0, and all weights zero. wcmp = graph(2, [(0, 1, 0, 1), (0, 1, 40, 1)]) assert place(wcmp, 0, 1, config(ngc.CostOnly(), W, LOSSY), 40)[0].placed == 40 one = graph(2, [(0, 1, 0, 1)]) r, p = place(one, 0, 1, config(ngc.CostOnly(), W, LOSSY), 2) [rec] = p.records() assert (r.placed, r.drops, rec.offered, rec.delivered) == (0, [], 2, 0) - # D-zero-service: both units dropped on the zero-capacity link. + # A link of service 0: both units dropped on the zero-capacity link. r, _ = place(one, 0, 1, config(ngc.CostOnly(), EB, LOSSY), 2) assert (r.placed, r.drops) == (0, [(0, 2)]) @@ -118,7 +123,7 @@ def test_equal_and_weighted_splits_over_a_zero_member(): @pytest.mark.parametrize( ("caps", "lossless", "drops"), [((0, 10), 0, [(0, 5)]), ((10, 0), 1, [(1, 5)])], - ids=["B3-zero-first", "B3-positive-first"], + ids=["zero-first", "positive-first"], ) def test_two_sources_one_behind_a_zero_link(caps, lossless, drops): # The pooled equal origin: a LOSSLESS total a is admitted only when RR(a) fits, so a source @@ -139,32 +144,43 @@ def test_b3_delete_zero_and_sensitivity(): for elig in (g.eligibility(excluded_nodes=[0]), g.eligibility(excluded_edges=[0])): assert place(g, [0, 1], 2, COSTONLY, 10, elig)[0].placed == 10 assert place(g, [0, 1], 2, GLOBAL, 10, elig)[0].placed == 10 - # B3-zero-first under the pooled equal origin admits 0; removing the zero link takes source 0 + # The zero-capacity source first, under the pooled equal origin, admits 0; removing the zero link takes source 0 # out of the program, so the deletion gains 10 (a negative loss); removing 1 -> 2 leaves 0. s = ngc.sensitivity(g, [0, 1], 2, ngc.QueryOptions(COSTONLY)) assert (s.baseline.placed, [(e.edge, e.loss) for e in s.entries]) == ( 0, [(0, -10), (1, 0)], ) - # G8: a negative loss for the zero-capacity link. + # A negative loss for the zero-capacity link. s8 = ngc.sensitivity(graph(3, S), 0, 1, ngc.QueryOptions(COSTONLY)) assert [(e.edge, e.loss) for e in s8.entries] == [(0, -5), (1, 0), (2, 0)] -def test_capacity_aware_roster_and_stretch_baseline(): +def test_t1_roster_and_stretch_baseline(): + # A-X8: head 0's link has no unreserved capacity: its tunnel is down and it loses its 2. x8 = graph(3, [(0, 2, 0, 1), (1, 2, 8, 3)]) - r, _ = place(x8, [0, 1], 2, config(ngc.CapacityAware()), 4) - assert (r.placed, r.termination) == ( + p = ngc.FlowPolicy(ngc.FlowLedger(x8), [0, 1], 2, t1_config(1, LOSSY)) + r = p.replace(4, design_demand=4) + assert (r.placed, r.call_source_loss, r.termination) == ( + 2, 2, - ngc.Termination.NO_ROUTE, - ) # A-X8: head 0 loses 2 + ngc.Termination.COMPLETE, + ) + assert [t.status for t in r.by_tunnel] == [ + ngc.TunnelStatus.NO_BANDWIDTH, + ngc.TunnelStatus.UP, + ] + # Stretch(1.2): c0 = 5 (the zero-capacity link counts); 1.2 * 5 is just below 6. h = graph(2, [(0, 1, 0, 5), (0, 1, 1, 6)]) - r, p = place(h, 0, 1, config(ngc.CapacityAware(max_path_cost=ngc.Stretch(1.2))), 1) - assert (r.placed, p.records()) == (0, []) + cfg = t1_config(1, LOSSY, max_path_cost=ngc.Stretch(1.2)) + p = ngc.FlowPolicy(ngc.FlowLedger(h), 0, 1, cfg) + r = p.replace(1, design_demand=1) + assert (r.placed, r.by_tunnel[0].status) == (0, ngc.TunnelStatus.COST_CEILING) + assert [rec.entry for rec in p.records()] == [0] @pytest.mark.parametrize( - ("caps", "bound"), [((0, 4), 0), ((4, 0), 1)], ids=["E-zero-first", "E-zero-last"] + ("caps", "bound"), [((0, 4), 0), ((4, 0), 1)], ids=["zero-first", "zero-last"] ) def test_pinned_routes_keep_their_zero_links(caps, bound): # Two split routes, one over the zero link: the head's round robin gives the first unit to diff --git a/tests/py/tunnel_oracle.py b/tests/py/tunnel_oracle.py new file mode 100644 index 0000000..19cb627 --- /dev/null +++ b/tests/py/tunnel_oracle.py @@ -0,0 +1,376 @@ +"""An independent reference for T1 (CapacityAware(Tunnels(N)), contract 6.2 to 6.5, 8.3, +8.4), the property tests of test_tunnels_t1.py. It restates the contract in plain Python and calls +nothing of the library: the requests in round order, every attempt a brute force over the simple +paths (a path stops at the first destination) with the bandwidth filter, the collapse of parallel +members and the single-path order, the cost ceilings with the pool baseline c0, the forwarding +(round robin over the heads, then over a head's up tunnels), the lossless bound, the replay under +a mask and the records per entry. + +The Lossy loss rule is program_oracle.lossy (the synchronous rounds from zero, the nested +split at each link): the tunnels' paths here are drawn over small graphs, and the property tests +use only programs whose links the rounds settle on. + +A graph is a list of edges (u, v, capacity, cost) in EdgeId order. A mask is (excluded nodes, +excluded edges); an edge is allowed when neither it nor an endpoint is excluded.""" + +from __future__ import annotations + +from dataclasses import dataclass +from fractions import Fraction + +import program_oracle + +UP, NB, CC, FAILED, BLACKHOLED = ( + "UP", + "NO_BANDWIDTH", + "COST_CEILING", + "FAILED", + "BLACKHOLED", +) + + +def rr(x, k, i): + """RR(x, k, i) = x // k + [i < x % k] (2.3).""" + return x // k + (1 if i < x % k else 0) + + +def allowed(edges, mask): + xn, xe = (set(mask[0]), set(mask[1])) if mask else (set(), set()) + return [ + e not in xe and u not in xn and v not in xn + for e, (u, v, _, _) in enumerate(edges) + ] + + +def simple_paths(edges, ok, src, dests): + """Every simple path (EdgeIds in walk order) from src that ends at the first destination it + meets, over the edges with ok[e].""" + dests = set(dests) + out = [] + + def walk(u, seen, path): + for e, (a, b, _, _) in enumerate(edges): + if a != u or not ok[e] or b in seen: + continue + if b in dests: + out.append([*path, e]) + else: + walk(b, seen | {b}, [*path, e]) + + walk(src, {src}, []) + return out + + +def cost_of(edges, path): + return sum(edges[e][3] for e in path) + + +def priority(edges, sel_priority, U, e, service): + """The priority view of 6.4: RESIDUAL reads U, HEADROOM U / C (0 when C = 0), CAPACITY C; + `service` (the service residual) is not read.""" + cap = edges[e][2] + if sel_priority == "RESIDUAL": + return Fraction(U[e]) + if sel_priority == "HEADROOM": + return Fraction(U[e], cap) if cap > 0 else Fraction(0) + return Fraction(cap) + + +@dataclass +class Selection: + php: bool = False + priority: str = "CAPACITY" + multi_edge: bool = True + + +@dataclass +class Tunnel: + index: int + head: int + slot: int + round: int + requested: int + status: str + path: list | None = None + cost: int | None = None + + @property + def up(self): + return self.status == UP + + @property + def reserved(self): + return self.requested if self.up else 0 + + +@dataclass +class Setup: + roster: list + tunnels: list + holds: list + c0: int | None + + +def roster_of(edges, sources, dests, mask=None): + """The sources whose node is allowed that statically reach an allowed destination (2.2).""" + ok = allowed(edges, mask) + xn = set(mask[0]) if mask else set() + live = [d for d in dests if d not in xn] + return [ + s + for s in sorted(set(sources)) + if s not in xn and simple_paths(edges, ok, s, live) + ] + + +def static_cost(edges, ok, src, dests): + paths = simple_paths(edges, ok, src, dests) + return min((cost_of(edges, p) for p in paths), default=None) + + +def choose(edges, U, candidate_ok, sel, src, dests, threshold, service): + """One attempt's path: the filter, then the collapse, then the single-path order.""" + # The filter U >= max(b, minimum); a threshold of 0 keeps every allowed edge. + filtered = [ok and U[e] >= threshold for e, ok in enumerate(candidate_ok)] + kept = list(filtered) + if not sel.multi_edge: + best = {} + for e, (u, v, _, c) in enumerate(edges): + if not filtered[e]: + continue + key = ( + c, + -priority(edges, sel.priority, U, e, service) if sel.php else 0, + e, + ) + if (u, v) not in best or key < best[(u, v)][0]: + best[(u, v)] = (key, e) + chosen = {e for _, e in best.values()} + kept = [filtered[e] and e in chosen for e in range(len(edges))] + paths = simple_paths(edges, kept, src, dests) + if not paths: + return None + + def order(p): + bottleneck = min(priority(edges, sel.priority, U, e, service) for e in p) + cost, hops = cost_of(edges, p), len(p) + return (cost, -bottleneck if sel.php else 0, hops, tuple(p)) + + return min(paths, key=order) + + +def exact_fraction(f): + return Fraction(f) if not isinstance(f, Fraction) else f + + +def setup( + edges, + sources, + dests, + D, + N, + *, + sel=None, + minimum=0, + absolute=None, + stretch=None, + mask=None, + unreserved=None, + held=None, + service=None, +): + """T1's setup (6.2 to 6.4). unreserved: the reservation baseline R0 (default: the + capacities); held: other owners' holds per edge (default 0); U = R0 - held. service: the + service residual (default: the capacities), which setup never reads (rule 7's misreading + does).""" + sel = sel or Selection() + ok = allowed(edges, mask) + xn = set(mask[0]) if mask else set() + live = [d for d in dests if d not in xn] + roster = roster_of(edges, sources, dests, mask) + H = len(roster) + base = list(unreserved) if unreserved is not None else [c for _, _, c, _ in edges] + U = [r - (held[e] if held else 0) for e, r in enumerate(base)] + service = list(service) if service is not None else [c for _, _, c, _ in edges] + # Stretch: c0 is the smallest static shortest cost over the roster (before any filter). + c0 = min((static_cost(edges, ok, h, live) for h in roster), default=None) + tunnels = [] + for j in range(N): + for i, head in enumerate(roster): + b = rr(rr(D, H, i), N, j) + threshold = max(b, minimum) + path = choose(edges, U, ok, sel, head, live, threshold, service) + t = Tunnel(j * H + i, head, i, j, b, NB) + if path is not None: + c = cost_of(edges, path) + limit_ok = True + if absolute is not None: + limit_ok = c <= absolute + elif stretch is not None: + limit_ok = c <= exact_fraction(stretch) * c0 + if limit_ok: + t.status, t.path, t.cost = UP, path, c + for e in path: + U[e] -= b + else: + t.status = CC + tunnels.append(t) + holds = [0] * len(edges) + for t in tunnels: + for e in t.path or []: + holds[e] += t.reserved + return Setup(roster, tunnels, holds, c0) + + +# ---------------------------------------------------------------- forwarding (6.5, 8.3) + + +def entry_shares(x, roster, tunnels, alive=None): + """The shares of a total x: RR over the roster, then RR over each head's up tunnels in local + order. Returns (per tunnel amount, lost at the heads).""" + alive = alive if alive is not None else [t.up for t in tunnels] + H = len(roster) + if H == 0: + return [0] * len(tunnels), x + amounts = [0] * len(tunnels) + lost = 0 + for i, h in enumerate(roster): + share = rr(x, H, i) + ids = [ + k + for k, (t, a) in enumerate(zip(tunnels, alive, strict=True)) + if a and t.head == h + ] + if not ids: + lost += share + continue + for m, k in enumerate(ids): + amounts[k] = rr(share, len(ids), m) + return amounts, lost + + +def loads(edges, tunnels, amounts): + out = [0] * len(edges) + for t, a in zip(tunnels, amounts, strict=True): + for e in t.path or []: + out[e] += a + return out + + +def lossless_bound(edges, roster, tunnels, V, alive=None, top=None): + """8.3: the largest total whose no-drop loads fit V with no share lost at a head.""" + top = top if top is not None else sum(V) + 1 + + def fits(x): + amounts, lost = entry_shares(x, roster, tunnels, alive) + return lost == 0 and all( + u <= c for u, c in zip(loads(edges, tunnels, amounts), V, strict=True) + ) + + lo, hi = 0, top + if fits(hi): + return hi + while hi - lo > 1: + mid = (lo + hi) // 2 + lo, hi = (mid, hi) if fits(mid) else (lo, mid) + return lo + + +def lossy(edges, roster, tunnels, x, V, alive=None): + """The Lossy forwarding of x on the free capacity V: (delivered, lost at the heads, per + tunnel (assigned, delivered, dropped), per edge drops). The loss rule at each link is + program_oracle.nested_split (highest averages over the heads' arrivals, then within a head over + its tunnels'), evaluated by synchronous rounds from zero until they settle.""" + amounts, lost = entry_shares(x, roster, tunnels, alive) + alive = alive if alive is not None else [t.up for t in tunnels] + live = [k for k, a in enumerate(alive) if a and amounts[k] > 0] + occ = {} + for k in live: + for j, e in enumerate(tunnels[k].path): + occ.setdefault(e, []).append((k, j)) + carried = {k: [0] * len(tunnels[k].path) for k in live} + for _ in range(4 + max((len(tunnels[k].path) for k in live), default=0)): + new = {k: [0] * len(tunnels[k].path) for k in live} + for e, members in occ.items(): + arrival = [amounts[k] if j == 0 else carried[k][j - 1] for k, j in members] + heads = [tunnels[k].head for k, _ in members] + split = program_oracle.nested_split(min(V[e], sum(arrival)), arrival, heads) + for (k, j), c in zip(members, split, strict=True): + new[k][j] = c + if new == carried: + break + carried = new + else: + raise AssertionError("the rounds did not settle") + per = [(amounts[k], 0, 0) for k in range(len(tunnels))] + drops = [0] * len(edges) + for k in live: + path = tunnels[k].path + for j, e in enumerate(path): + arrival = amounts[k] if j == 0 else carried[k][j - 1] + drops[e] += arrival - carried[k][j] + per[k] = (amounts[k], carried[k][-1], amounts[k] - carried[k][-1]) + delivered = sum(d for _, d, _ in per) + return delivered, lost, per, drops + + +# ---------------------------------------------------------------- replay (8.4) and records (10.4) + + +def replay(edges, program_roster, tunnels, dests, mask, producer_mask=None): + """A Pinned replay of a T1 program under `mask`: the roster rebuilt from the topology basis + (the program's exclusions and the mask together), a tunnel FAILED when the mask touches it or + its head left, setup-down tunnels keeping their status. Returns (replay roster, statuses, + alive).""" + xn = set(mask[0]) | (set(producer_mask[0]) if producer_mask else set()) + xe = set(mask[1]) | (set(producer_mask[1]) if producer_mask else set()) + both = (sorted(xn), sorted(xe)) + ok = allowed(edges, both) + live_dests = [d for d in dests if d not in xn] + roster = [ + h + for h in program_roster + if h not in xn and simple_paths(edges, ok, h, live_dests) + ] + statuses, alive = [], [] + for t in tunnels: + if not t.up: + statuses.append(t.status) + alive.append(False) + elif t.head not in roster or not all(ok[e] for e in t.path): + statuses.append(FAILED) + alive.append(False) + else: + statuses.append(UP) + alive.append(True) + return roster, statuses, alive + + +def records(tunnels, amounts=None): + """One record per program entry, in index order: (entry, delivered, holds) (10.4).""" + amounts = amounts or [0] * len(tunnels) + out = [] + for t, a in zip(tunnels, amounts, strict=True): + out.append( + ( + t.index, + a, + [(e, t.reserved) for e in sorted(t.path or [])] if t.up else [], + ) + ) + return out + + +def termination(offer, roster, tunnels, alive, lossy_admission, admitted): + """14.2 as amended: zero offer, empty roster, rule (3) only for a program with an up tunnel.""" + if offer == 0: + return "COMPLETE" + if not roster: + return "NO_ROUTE" + has_path = any(t.up for t in tunnels) + usable = any(a and t.head in roster for t, a in zip(tunnels, alive, strict=True)) + if has_path and not usable: + return "NO_ACTIVE_WEIGHT" + if lossy_admission: + return "COMPLETE" + return "COMPLETE" if admitted == offer else "EXHAUSTED" diff --git a/tests/reference/policy/README.md b/tests/reference/policy/README.md index 4a4bd13..3eb1ab8 100644 --- a/tests/reference/policy/README.md +++ b/tests/reference/policy/README.md @@ -2,7 +2,7 @@ ## In plain words -`tests/data/policy_fixtures.json` holds 55 small scenarios (graphs, ledgers, policies and their +`tests/data/policy_fixtures.json` holds 31 small scenarios (graphs, ledgers, policies and their calls) together with the result every call must produce. Both replay tests read it: `tests/cpp/flow_policy_fixture_tests.cpp` runs the scenarios on the C++ engine and `tests/py/test_flow_policy_fixtures.py` runs them through the Python binding; each compares @@ -18,9 +18,11 @@ the library and without the untracked design tree the code came from. The data is frozen: it is never regenerated from the build. The command below proves that it still equals what the reference computes; a change of the data is a deliberate data change, -reviewed as such. Two such changes have been made: when edges of capacity 0 became ordinary -routing edges ("Zero-capacity links stay in routing" below), and when the sources of one -demand were pooled and the origin arrived ("Pooled sources and the origin" below). +reviewed as such. Four such changes have been made: when edges of capacity 0 became ordinary +routing edges ("Zero-capacity links stay in routing" below), when the sources of one demand +were pooled and the origin arrived ("Pooled sources and the origin" below), when `Pinned` +began to forward programs ("Forwarding programs" below), and when T1 replaced the per-source +`CapacityAware` ("T1 replaces CapacityAware" below). ## The historical `source` string inside the data @@ -52,8 +54,8 @@ that every module of the reference was imported from this directory (an installe the same name, such as `graph` or `units`, would otherwise shadow it) and that no module of the library (`netgraph_core`, `_netgraph_core`) was imported. -The data file: 651,786 bytes, sha256 -`47e332040c3a65719036e8dc59dc5995037be5bc8920a8153dba2ced751a7257` (55 fixtures, 533 +The data file: 189,030 bytes, sha256 +`e55ddf23a7630802fa2f8e4c410b282a2f3ca53d8b06c01875c5fdca56e5aa2e` (31 fixtures, 329 operations). This directory is excluded from the source distribution (`sdist.exclude` in `pyproject.toml`); @@ -63,7 +65,7 @@ the wheel holds only the `netgraph_core` package. No test imports it. The copies are the complete set of modules the exporter imports, found by running it and listing the imported modules (lazy imports inside functions included: every fixture runs). -Their bodies are unchanged except for the two rule changes at the end of this file; they +Their bodies are unchanged except for the rule changes at the end of this file; they cite the design contract's sections and notes, which are not in the repository. `p2_transaction/_p1.py` appends the sibling `p1_amount/` to `sys.path`, so the two directory names are part of the layout. `run_fixtures.py` is used only for its `run_one`; its own `main` would write snapshots beside it and is not used. @@ -73,21 +75,21 @@ the copies were taken on 2026-10-09. | Copy (this directory) | Original | sha256 of the original | sha256 of the copy | | --- | --- | --- | --- | -| `export_policy_fixtures.py` | `equivalence/export_policy_fixtures.py` | `0aea76a050b2d83e7398559af6a7d484a5a82a48b35bac9a3686f5fdf73211d2` | `e538ae31cab50370a8058003a52d7a2f3d0e25eb2de8cd7c22970255b0875e77` (relocated; pooled sources; programs, below) | +| `export_policy_fixtures.py` | `equivalence/export_policy_fixtures.py` | `0aea76a050b2d83e7398559af6a7d484a5a82a48b35bac9a3686f5fdf73211d2` | `bf5764501039121ad55c6bcaeac4cce0b4b7cbeaeb95ff401cd01b608e6ef2b1` (relocated; pooled sources; programs; T1, below) | | `p2_transaction/_p1.py` | `prototypes/p2_transaction/_p1.py` | `3ec5468e1ee8357faa9d85e6d748c718de63baee22e064c204324e42de42ec98` | same | -| `p2_transaction/fixtures.py` | `prototypes/p2_transaction/fixtures.py` | `ea05c85ce851fd7b7c6ff34b6a9eedbfd7b280187d0bf7e7965e626e4fe52071` | `60e61213de983cad3f3c70943e3d6afa8dbffe001595d3d245087e0a7e67ecdf` (zero capacity; pooled sources; programs, below) | -| `p2_transaction/policy.py` | `prototypes/p2_transaction/policy.py` | `b367b71c6052cb70c9b107ec7fdd15f491349cfd6fdfcb12a18f24ab69a4d27b` | `d1c773d670f6b5cf6f0cf4fdf4a69779ef85a656ffcbcec4e52f16795e8bf0f7` (zero capacity; pooled sources; programs, below) | +| `p2_transaction/fixtures.py` | `prototypes/p2_transaction/fixtures.py` | `ea05c85ce851fd7b7c6ff34b6a9eedbfd7b280187d0bf7e7965e626e4fe52071` | `255039ac5eaab9205168f9aeb8855ea2742b33a655db08717c761f05a71b0760` (zero capacity; pooled sources; programs; T1, below) | +| `p2_transaction/policy.py` | `prototypes/p2_transaction/policy.py` | `b367b71c6052cb70c9b107ec7fdd15f491349cfd6fdfcb12a18f24ab69a4d27b` | `cb5f553ee86fe3275132231065f5fda7e39d5d3100a432d9b012eb77b402930a` (zero capacity; pooled sources; programs; T1, below) | | `p2_transaction/recorder.py` | `prototypes/p2_transaction/recorder.py` | `fb4a8f20ccc6ecef4bc6d934226df33d84ee4dbf70c59aad9f33a097b9d0eb8a` | same | | `p2_transaction/run_fixtures.py` | `prototypes/p2_transaction/run_fixtures.py` | `c20d655a2324c42201e9b743c51ef16bb47942dda56782e2d16b135a9c4db2fa` | same | | `p1_amount/apportion.py` | `prototypes/p1_amount/apportion.py` | `c1e2f5082a99db1d0e7de5cf4e713ad5790aca3d85060583d536f5bc7fdcd4b1` | same | | `p1_amount/certify.py` | `prototypes/p1_amount/certify.py` | `e4f0cce8a68fd512026e6e1c84c558b370d0741564b8191b8893de5cf173ad95` | `8d27afb711fd54f7063e75fe60137a5e37dbeea7dafb01d5788f6922d7f9c5b7` (zero capacity, below) | | `p1_amount/flowcore.py` | `prototypes/p1_amount/flowcore.py` | `72b3d8c91a077017cf759d4c834576b1babd513024e9e227650d273d8b08da2c` | `63a6cf7047cb2fe91d5992f23e5d9bada1b89e70a4cff595be0a24ddabb681df` (zero capacity, below) | | `p1_amount/graph.py` | `prototypes/p1_amount/graph.py` | `44051d4a496a423c73ed473b6d4da045c32e30b40701bec0ecb19b8d9e5822a8` | same | -| `p1_amount/kernels.py` | `prototypes/p1_amount/kernels.py` | `6e8db4d6de8c275d0335a9fddad28b7f84daa7af04d3ab872e4078cc4f709729` | `b01f6f24846e39679308fa80ea0c95804fcb653f0aea7c999662423dfab0afc5` (zero capacity, below) | +| `p1_amount/kernels.py` | `prototypes/p1_amount/kernels.py` | `6e8db4d6de8c275d0335a9fddad28b7f84daa7af04d3ab872e4078cc4f709729` | `799aef2bd6735b6e5d26365ecb578448ae641da2bf1e6b47c4d34c9dcafd1094` (zero capacity; T1, below) | | `p1_amount/ledger.py` | `prototypes/p1_amount/ledger.py` | `19a8ab41f7ae26ece8b8a0f151c55a287f0cdf22a779d8c6d2f9d8e5dc43fcf6` | `fb55b11fa7c416024dd8c6faef63f08f831f77bf20585e78f3847b515aa3a6c2` (pooled sources, below) | -| `p1_amount/search.py` | `prototypes/p1_amount/search.py` | `3ab124b99fa68e25d467cfbb22a4e9900ade86e10001269df84f3c99ad31e04a` | `c79bfdc6d2a11197364f9bf7f3f41c8594843c72742f3285cbf685a4c117560c` (zero capacity, below) | +| `p1_amount/search.py` | `prototypes/p1_amount/search.py` | `3ab124b99fa68e25d467cfbb22a4e9900ade86e10001269df84f3c99ad31e04a` | `2553786c44644f41990f6e4b0e03a8806dd0fccf9e344f8a0acef8663749e15a` (zero capacity; T1, below) | | `p1_amount/snap.py` | `prototypes/p1_amount/snap.py` | `0d62ff46d3c804bdbc80fae3c2c59a25aa0b34c013a086e7e81b7f722bdc0552` | same | -| `p1_amount/units.py` | `prototypes/p1_amount/units.py` | `38b37a22ae56f592a63554683e860b44036cce678a7080f406a69c281a620cfe` | same | +| `p1_amount/units.py` | `prototypes/p1_amount/units.py` | `38b37a22ae56f592a63554683e860b44036cce678a7080f406a69c281a620cfe` | `7332c631289bd3916357fe68c1c8906476d94918fd5d6fc4b3ad8fd113ab4486` (T1, below) | The rest of the two prototype directories (their notes, tests, snapshots, the MSD study `msd.py` and the historical grid prototypes) is not part of the reference and was not copied. @@ -231,7 +233,7 @@ after a call. The reference was changed in exactly these places, by hand from th | the Pinned halves of `four_calls_MaxFlow`, `_W`, `_EB`, `_Lossy` (12 operations each) | four calls of 1 on two pinned routes | `PinnedProgram.Increments` (L9 to L11), `Operations.PlaceContinuesTheEpoch`, `Operations.ControllerWeights` (a supported or unrestricted controller's increments) | | the Pinned cohort of `eb_1_plus_2_vs_3` (7 operations) | `place(1); place(2)` equals `place(3)` | `test_programs.py::test_pinned_facts_of_the_retired_reference_fixtures` (Lossless Pinned is additive) | | the Pinned part of `admission_zero_and_no_route` (3 operations) | every bundle excluded: `NO_ROUTE` | the same test (every tunnel failed: `NO_ROUTE`), `Replay.TunnelFailedByNode` | - | the Pinned policy of `limits_kmaxflowspercall` (3 operations) | the creation cap does not count Pinned flows | `test_programs.py::test_the_creation_cap_does_not_limit_pinned_records` | + | the Pinned policy of `limits_kmaxflowspercall` (3 operations) | the creation cap does not count Pinned flows | none: the cap was deleted with T0 ("T1 replaces CapacityAware" below), and with it its test `test_the_creation_cap_does_not_limit_pinned_records` | | the Pinned half of `flag_zero_delivery_creation` (6 operations) | a zero-delivery creation and its flags | `test_programs.py::test_pinned_facts_of_the_retired_reference_fixtures` (both flags on the first program, none on the next zero call), `Operations.OfferOnly` | | the rejected Pinned source set of `sources_limits_and_validation` (1 operation) | Pinned required single endpoints | `PinnedProgram.SeveralEndpoints` (accepted now) | @@ -242,3 +244,69 @@ configurations and record bundles; `support` and `weights` in the configurations state lost its `usable` key (332 keys); and the flags of the first program of each epoch (`weights_changed` true) and of two CostOnly `MaxFlow` re-solves whose paths change (`routes_changed` true). + +## T1 replaces CapacityAware + +The library's rule changed again (the contract's section 6): `CapacityAware` is T1, every head +setting up its own strict tunnels by CSPF and forwarding over them; the per-source transaction +(creation, reoptimisation, amounts and growth, the diminishing guard, the call-wide creation cap, +the local outcomes and their reduction, `LIMIT_FLOWS` and `LIMIT_DIMINISHING`) is gone, and T1 +is checked by the library's own tests (no reference is derived for it here). The reference was +changed in exactly these places: + +1. `p2_transaction/policy.py`: `CapacityAware`, `Diminishing`, the per-source stages and their + state (`SourceState`, `_search`, the per-flow amounts, `_offers`, `_place_flows`, + `_local_outcome`, `_run_source`, `_stage1` to `_stage4`), the outcome ranks, the creation + cap `MAX_FLOWS_PER_CALL` and the per-source Stretch baselines are removed; validation keeps + CostOnly's and Global's rules. +2. `p1_amount/kernels.py`: the per-flow kernels only the stages used (`make_plan`, `alloc`, + `fits`, `t_max`, the per-flow `maxflow`, `lossy`) and `check_kernel`'s priority rule (a + Weighted flow's weights from the Headroom priority) are removed; `p1_amount/search.py`: the + cost ceilings (`check_ceiling`, `stretch_le`, `within_ceiling`, `static_shortest`), which only + those stages read; `p1_amount/units.py`: `K_MAX_FLOWS_PER_CALL`. +3. `export_policy_fixtures.py`: a configuration has no `CapacityAware` fields, a placement no + creation cap `cap`, and a policy's flow no `members` and `weights` (outside the per-source + transaction they were always the route and null); the trace normalisation no longer drops + the stages' probe counts (`evals`, `evaluations`), which no other code emits; the shim no + longer records a ledger's `copy` and `reset` or a policy's `destroy`, which no fixture has + now (the replay never read them either). +4. `p2_transaction/fixtures.py`: every `CapacityAware` policy is removed with every later + operation on its ledger (their expected values read its records, ids and owners); a fixture + left with nothing of its own is removed whole. Removed whole (24): `creation_fewer_routes`, + `creation_retry_after_release`, `ten_versus_five`, `eight_versus_ten_capacity`, + `eight_versus_ten_residual`, `eight_versus_ten_headroom`, `request_12_on_5_5`, + `growth_request_6`, `growth_256_request_1278`, `harmful_growth_10_1`, + `hidden_beneficial_route`, `retention_third_party_removal`, `shared_capacity_view`, + `reopt_double_spend`, `retention_same_structure`, `limits_kmaxflowspercall`, + `limits_diminishing`, `lifetime_remove_orphan_reset`, `flag_table`, + `eb_two_flows_per_source_reservation`, `eb_resplit_3_3_to_3_2_2`, + `eb_growth_equal_route_stop`, `capacityaware_blocked_inf_remove_place`, + `eb_growth_single_path_repeat`. Partly kept (3): `inf_every_kernel` loses its two + `CapacityAware` ledgers (6 operations), `admission_zero_and_no_route` its two `CapacityAware` + policies (the zero request, the rejected `src == dst` construction and the zero-residual + ledger: 6 operations), and `termination_reduction`, renamed + `termination_complete_and_no_route`, its four `CapacityAware` ledgers (12 operations); the + helpers `tunnel`, `ca`, `routes` and `Ctx.shares` go with them. + + | Removed | What it showed | Covering test | + | --- | --- | --- | + | creation and growth (`creation_fewer_routes`, the `growth_*` fixtures, `harmful_growth_10_1`, `hidden_beneficial_route`, `eb_growth_*`, `eb_resplit_3_3_to_3_2_2`, the `CapacityAware` part of `inf_every_kernel`) | per-source creation of flows and growth | deleted by the contract (T1 has no growth, 6.4) | + | reoptimisation (`retention_third_party_removal`, `shared_capacity_view`, `reopt_double_spend`, `retention_same_structure`) | reroutes of retained flows | deleted by the contract | + | the creation cap and the diminishing guard (`limits_kmaxflowspercall`, `limits_diminishing`) | `LIMIT_FLOWS`, `LIMIT_DIMINISHING` | deleted by the contract (14.2 has neither) | + | the local outcomes and their reduction (`termination_reduction`'s four `CapacityAware` cases) | per-source terminations | deleted by the contract; T1's terminations: `T1Operations.Terminations`, `T1Forwarding.AllDown` (every tunnel down) | + | per-source reservation targets (`ten_versus_five`, `eight_versus_ten_*`, `request_12_on_5_5`, `eb_two_flows_per_source_reservation`) | requests split per source, the priority read on the residual | T1's requests and attempts: `T1Setup.RoundOrder` (the requests in round order), `T1Setup.ContractExamples` (the contract's examples of a last tunnel down and of two heads on a shared link), `T1Setup.PriorityTies`, `T1Setup.PriorityReadsUnreserved` | + | a call blocked by another owner, then served after its removal (`creation_retry_after_release`, `capacityaware_blocked_inf_remove_place`) | the view other owners leave | `T1Setup.OtherOwnersHolds`; the epoch rules of +inf, `remove()` and a finite place after +inf: `FlowPolicyRequests.RejectedRequestsLeaveThePolicyAndTheLedger` | + | the lifetime law (`lifetime_remove_orphan_reset`) | reset and copy rejected while bound, `remove()` reverts and retires ids, orphans until `reset()`, ids never reused | `FlowLedger.BoundWithFlowsRowAndEpochs`, `FlowLedger.OrphanedRecordsResetAndCopy`, `test_flow_ledger.py::test_lifetime_bound_rows_and_epochs`, `test_flow_ledger.py::test_orphans_from_destruction_reset_and_copy`; with holds: `LedgerProjections.RemoveReleasesBoth`, `LedgerProjections.OrphansAndReset`, `LedgerProjections.Copy` | + | the flag table (`flag_table`) | flags as committed events of the per-source transaction | deleted by the contract (flags compare programs, 10.4): `Operations.FirstProgramFlags`, `test_programs.py::test_change_flags_of_empty_programs_and_place_zero`; T1: `T1Operations.Flags`, `T1Operations.FirstFlags` | + | `admission_zero_and_no_route`'s `CapacityAware` cases | a zero request creates nothing; `src == dst` rejected; no route on a zero residual | T1 rejects `place` (`TunnelOperations.NoIncrements`); zero offers: `TunnelZero.T1`; endpoints: `FlowPolicyConfig.EveryRejectedCombinationBeforeBinding`; a zero reservation baseline: `LedgerProjections.Baselines` | + + No fixture is left with a copy, a reset or a destruction of a ledger or policy (all were in + `lifetime_remove_orphan_reset`), so the data holds only the operations `ledger`, `policy`, + `place` and `remove`, and the exporter records only those (item 3). A future fixture with one + of the others adds its recording back with the replay of it. + +The data changed in exactly these ways: 24 fixtures and 204 operations fewer; in the three +partly kept fixtures the graph, ledger and policy ids are renumbered and one fixture is renamed; +every placement lost its `cap` key and every flow of a policy state its `members` and `weights` +keys. Every other byte of every kept operation is unchanged (checked operation by operation +against the earlier file). diff --git a/tests/reference/policy/export_policy_fixtures.py b/tests/reference/policy/export_policy_fixtures.py index aa6d448..8ca1706 100644 --- a/tests/reference/policy/export_policy_fixtures.py +++ b/tests/reference/policy/export_policy_fixtures.py @@ -1,4 +1,4 @@ -"""Export prototype 2's 59 fixtures as replay data for the Core tests (sub-PR 1c). +"""Export prototype 2's fixtures as replay data for the Core tests (sub-PR 1c). venv/bin/python -I tests/reference/policy/export_policy_fixtures.py [--check] [--out PATH] @@ -17,26 +17,25 @@ Every fixture of ``prototypes/p2_transaction/fixtures.py`` runs on the PROTOTYPE (the reference; never the build) with a recording shim installed before ``fixtures`` is imported: ``ledger.FlowGraph`` and ``policy.FlowPolicy`` are replaced by subclasses that log -every construction and call, and ``policy.MAX_FLOWS_PER_CALL`` (the fixtures' test hook) is -read at every placement. The output ``tests/data/policy_fixtures.json`` (compact, deterministic) +every construction and call. The output ``tests/data/policy_fixtures.json`` (compact, deterministic) holds per fixture: * ``graphs``: ``n``, ``q`` (the resolution), the edges in input coordinates ``[u, v, capacity units, cost]`` and the B' ``input_index`` (the replay checks that the build ranks the edges the same way); -* ``ops`` in call order: ``ledger`` (graph, baseline in B' id order or null), ``copy``, - ``reset``, ``policy`` (ledger, sources and destinations as given, the full configuration - with a Global support as an ascending B' edge list and a Weighted weight basis when given, - the Eligibility as excluded node and edge ids, or ``error``), ``place`` (volume as an int or ``"inf"``, the outputs flags, the - creation cap ``cap``), ``remove`` and ``destroy``; +* ``ops`` in call order: ``ledger`` (graph, baseline in B' id order or null), ``policy`` + (ledger, sources and destinations as given, the full configuration with a Global support as + an ascending B' edge list and a Weighted weight basis when given, the Eligibility as + excluded node and edge ids, or ``error``), ``place`` (volume as an int or ``"inf"``, the + outputs flags) and ``remove`` (a ledger's copy and reset and a policy's destruction are not + recorded: no fixture has one since T0 was deleted); * after every operation the prototype's expected values (``expect``): the call's result - (``to_json``: placed, remaining, termination, local outcomes, flags, drops, the cost curve - and the requested outputs), the ledger state (allocated and residual in id order, every - record field with the bundle as an ascending edge list, next FlowId, bound and orphaned - owners), the policy state (roster, requested, +inf, placed demand, per source the flows' - id, route, T (null for Lossy: prototype 2 keeps none), delivered, alloc, - members and weights) and the normalised trace (prototype 2's keys; the probe counts - ``evals``, the flow core's ``counters`` and ledger uids dropped; FlowIds as ids). + (``to_json``: placed, remaining, termination, flags, drops, the cost curve and the + requested outputs), the ledger state (allocated and residual in id order, every record + field with the bundle as an ascending edge list, next FlowId, bound and orphaned owners), + the policy state (roster, requested, +inf, placed demand, per source the flows' id, route, + T (null for Lossy: prototype 2 keeps none), delivered and alloc) and the normalised trace + (prototype 2's keys; the flow core's ``counters`` and ledger uids dropped; FlowIds as ids). An operation the prototype rejects is recorded with ``"error": true`` (the build must raise too; the messages differ) and the ledger state after it (unchanged). ``--check`` recomputes @@ -133,11 +132,11 @@ def policy_id(self, pol) -> int: def norm(x): - """Drop process-dependent and probe-count fields; FlowIds to their id.""" + """Drop process-dependent and operation-count fields; FlowIds to their id.""" if isinstance(x, dict): out = {} for k, v in x.items(): - if k in ("evals", "ledger_uid", "counters", "evaluations"): + if k in ("ledger_uid", "counters"): continue if k in ("flow_id", "flow") and isinstance(v, list) and len(v) == 2: out[k] = v[1] @@ -186,7 +185,6 @@ def policy_state(pol) -> dict: continue out = [] for f in flows: - w = f.plan.weights out.append( { "id": f.flow_id[1], @@ -194,10 +192,6 @@ def policy_state(pol) -> dict: "T": None if lossy else f.T, "delivered": f.delivered, "alloc": [[e, x] for e, x in sorted(f.alloc.items()) if x], - "members": list(f.plan.members), - "weights": None - if w is None - else [[e, x] for e, x in sorted(w.items())], } ) cohorts.append([s, out]) @@ -216,24 +210,6 @@ def config_json(cfg) -> dict: routing: dict = {"kind": kind} if kind == "Global" and r.support is not None: routing["support"] = sorted(r.support) - elif kind == "CapacityAware": - routing.update( - flow_count=r.flow_count, - max_flow_count=r.max_flow_count, - max_path_cost=None - if r.max_path_cost is None - else [ - r.max_path_cost[0], - float(r.max_path_cost[1]) - if r.max_path_cost[0] == "Stretch" - else r.max_path_cost[1], - ], - min_flow_bandwidth=r.min_flow_bandwidth, - reoptimize=r.reoptimize, - diminishing=None - if r.diminishing is None - else [r.diminishing.window, float(r.diminishing.fraction)], - ) sel = cfg.selection out = { "routing": routing, @@ -280,41 +256,6 @@ def __init__(self, g, residual=None) -> None: REC.ledgers.append(self) REC.ops.append({**op, "id": len(REC.ledgers) - 1, "error": False}) - def copy(self): - op = {"op": "copy", "ledger": REC.ledger_id(self)} - try: - other = super().copy() - except ContractError: - REC.ops.append( - {**op, "error": True, "expect": {"ledger": ledger_state(self)}} - ) - raise - REC.ledgers.append(other) - REC.ops.append( - { - **op, - "id": len(REC.ledgers) - 1, - "error": False, - "expect": {"ledger": ledger_state(other)}, - } - ) - return other - - def reset(self, residual=None) -> None: - op = { - "op": "reset", - "ledger": REC.ledger_id(self), - "baseline": None if residual is None else list(residual), - } - try: - super().reset(residual) - except ContractError: - REC.ops.append( - {**op, "error": True, "expect": {"ledger": ledger_state(self)}} - ) - raise - REC.ops.append({**op, "error": False, "expect": {"ledger": ledger_state(self)}}) - def make_rec_policy(P): Base = P.FlowPolicy @@ -361,7 +302,6 @@ def place(self, volume, outputs=None): outputs.bottleneck, outputs.min_cut, ], - "cap": P.MAX_FLOWS_PER_CALL, } try: r = super().place(volume, outputs) @@ -398,17 +338,6 @@ def remove(self) -> None: } ) - def destroy(self) -> None: - super().destroy() - REC.ops.append( - { - "op": "destroy", - "policy": REC.policy_id(self), - "error": False, - "expect": {"ledger": ledger_state(self.fg)}, - } - ) - return RecPolicy diff --git a/tests/reference/policy/p1_amount/kernels.py b/tests/reference/policy/p1_amount/kernels.py index 93dd853..1b76387 100644 --- a/tests/reference/policy/p1_amount/kernels.py +++ b/tests/reference/policy/p1_amount/kernels.py @@ -1,32 +1,18 @@ """Placement kernels in units (APPROACH revision 24, sections 2.1, 7 and 16). -A plan is frozen at creation: the flow's route (a DAG of edge ids), its split graph -(members pruned to the walks from the source to the destination set) and, for -Weighted, the weights. Membership: MaxFlow and EqualBalanced take the route (an edge of -capacity 0 is a member that carries nothing; EqualBalanced still gives it its share); -Weighted the edges of positive weight by its ``priority`` axis (``Residual``: residual ->= 1 unit on the creation view; ``Capacity``: static capacity >= 1 unit); Lossy keeps -its kernel's membership. - -* ``alloc(plan, T)``: node by node in topological order, the source's inflow being - ``T``; round robin (EqualBalanced) or highest averages over the frozen weights - (Weighted) at every node; member-monotone in ``T`` (house monotonicity). -* ``t_max(plan, view)``: the largest ``T`` whose allocation fits every member, - by binary search over units (exact because the allocation is monotone). -* ``maxflow(...)``: the flow core restricted to the route on the view (one - objective: minimum cost for the maximum value under the cap). -* ``lossy(plan, offer, W)``: the offer split at every node by the kernel's rule, - each edge carrying ``min(share, residual)``, the rest a transit drop on that edge; - ``+inf`` injects every source member to its residual. +The kernel names and the admission rule, a flow's plan as a record (its route, its members and, +for Weighted, its weights), the split graph of a route (``prune``: the edges on the walks from a +source to the destination set) and a route's cost. The per-flow kernels of the per-source +transaction (allocation, the T_max search, the per-flow MaxFlow solve, the Lossy split) left with +``CapacityAware`` when T0 was deleted (README "T1 replaces CapacityAware"): the pooled +CostOnly program and the controllers of ``policy.py`` forward and solve on their own. """ from __future__ import annotations -from dataclasses import dataclass, field +from dataclasses import dataclass -import flowcore import search -from apportion import split from graph import Graph from units import ContractError @@ -38,15 +24,13 @@ LOSSY = "Lossy" -def check_kernel(kernel: str, admission: str, priority: str) -> None: +def check_kernel(kernel: str, admission: str) -> None: if kernel not in KERNELS: raise ContractError(f"unknown placement {kernel!r}") if admission not in (LOSSLESS, LOSSY): raise ContractError(f"unknown admission {admission!r}") if admission == LOSSY and kernel == MAX_FLOW: raise ContractError("Lossy is rejected with MaxFlow (rule 13)") - if kernel == WEIGHTED and priority == "Headroom": - raise ContractError("Weighted with priority = Headroom is rejected") @dataclass @@ -58,12 +42,6 @@ class Plan: route: tuple[int, ...] members: tuple[int, ...] weights: dict[int, int] | None - out: dict[int, list[int]] = field(default_factory=dict) - topo: list[int] = field(default_factory=list) - - @property - def rule(self) -> str: - return "ha" if self.kernel == WEIGHTED else "rr" def to_json(self) -> dict: return { @@ -100,202 +78,6 @@ def prune(g: Graph, edges, src: int, dsts) -> tuple[int, ...]: return tuple(sorted(e for e in edges if g.src[e] in fwd and g.dst[e] in back)) -def make_plan( - g: Graph, - kernel: str, - admission: str, - src: int, - dsts, - route, - priority: str, - view, -) -> Plan: - """Capture membership and weights on the creation view (frozen until reroute).""" - check_kernel(kernel, admission, priority) - route = tuple(sorted(route)) - dsts = tuple(sorted(dsts)) - weights = None - if kernel != WEIGHTED: - cand = route - elif priority == "Residual": - cand = tuple(e for e in route if view[e] >= 1) - else: - cand = tuple(e for e in route if g.capacity[e] >= 1) - members = prune(g, cand, src, dsts) - if kernel == WEIGHTED: - weights = { - e: (view[e] if priority == "Residual" else g.capacity[e]) for e in members - } - plan = Plan(kernel, admission, src, dsts, route, members, weights) - out: dict[int, list[int]] = {} - indeg: dict[int, int] = {src: 0} - for e in members: - out.setdefault(g.src[e], []).append(e) - indeg[g.dst[e]] = indeg.get(g.dst[e], 0) + 1 - indeg.setdefault(g.src[e], 0) - for lst in out.values(): - lst.sort() - topo = [] - ready = sorted(v for v, d in indeg.items() if d == 0) - while ready: - u = ready.pop(0) - topo.append(u) - for e in out.get(u, ()): - v = g.dst[e] - indeg[v] -= 1 - if indeg[v] == 0: - ready.append(v) - ready.sort() - assert len(topo) == len(indeg), "split graph is cyclic" - plan.out, plan.topo = out, topo - return plan - - -def alloc(g: Graph, plan: Plan, total: int) -> dict[int, int]: - """Cumulative allocation ``alloc_i(T)`` of a Weighted or EqualBalanced plan.""" - if plan.kernel == MAX_FLOW: - raise ValueError("MaxFlow allocations come from the flow core") - if total == 0: - return {} - if not plan.members: - raise ValueError("an empty split graph carries nothing") - inflow = {plan.src: total} - out: dict[int, int] = {} - dset = set(plan.dsts) - for u in plan.topo: - amount = inflow.get(u, 0) - if u in dset or amount == 0: - continue - outs = plan.out.get(u, []) - assert outs, "a non-destination node of the split graph has members" - weights = None if plan.weights is None else [plan.weights[e] for e in outs] - for e, x in zip( - outs, split(plan.rule, amount, weights, len(outs)), strict=True - ): - if x: - out[e] = x - inflow[g.dst[e]] = inflow.get(g.dst[e], 0) + x - assert sum(inflow.get(d, 0) for d in dset) == total - return out - - -def fits(allocation: dict[int, int], view) -> bool: - return all(x <= view[e] for e, x in allocation.items()) - - -@dataclass -class TMax: - value: int - evaluations: int - upper: int - - -def t_max(g: Graph, plan: Plan, view) -> TMax: - """Largest ``T`` with ``alloc(T)`` within ``view`` on every member (exact).""" - if not plan.members: - return TMax(0, 0, 0) - hi = sum(view[e] for e in plan.out.get(plan.src, [])) - upper = hi - lo = 0 - evals = 0 - while lo < hi: - mid = (lo + hi + 1) // 2 - evals += 1 - if fits(alloc(g, plan, mid), view): - lo = mid - else: - hi = mid - 1 - return TMax(lo, evals, upper) - - -def maxflow( - g: Graph, - plan: Plan, - view, - cap: int | None, - *, - arc_order="interleaved", - arc_rank=None, - trace=False, -): - """The MaxFlow kernel: a fresh flow-core solve on the view over the route.""" - return flowcore.solve( - g, - view, - [plan.src], - plan.dsts, - cap, - edges=plan.members, - arc_order=arc_order, - arc_rank=arc_rank, - trace=trace, - ) - - -@dataclass -class LossyCall: - offered: int - injected: int - delivered: int - carried: dict[int, int] - drops: dict[int, int] - shares: dict[int, int] - - @property - def transit_drops(self) -> int: - return sum(self.drops.values()) - - @property - def source_drops(self) -> int: - return self.offered - self.delivered - self.transit_drops - - -def lossy(g: Graph, plan: Plan, offer: int | None, W) -> LossyCall: - """One Lossy offer on the working residual ``W`` (``None`` = ``+inf``).""" - carried: dict[int, int] = {} - drops: dict[int, int] = {} - shares: dict[int, int] = {} - src_outs = plan.out.get(plan.src, []) - if not src_outs: - offered = 0 if offer is None else offer - return LossyCall(offered, 0, 0, carried, drops, shares) - dset = set(plan.dsts) - inflow: dict[int, int] = {} - injected = 0 - for u in plan.topo: - if u in dset: - continue - outs = plan.out.get(u, []) - if u == plan.src: - if offer is None: - part = [W[e] for e in outs] - else: - weights = ( - None if plan.weights is None else [plan.weights[e] for e in outs] - ) - part = split(plan.rule, offer, weights, len(outs)) - injected = sum(part) - else: - amount = inflow.get(u, 0) - if amount == 0: - continue - weights = None if plan.weights is None else [plan.weights[e] for e in outs] - part = split(plan.rule, amount, weights, len(outs)) - for e, x in zip(outs, part, strict=True): - if not x: - continue - c = min(x, W[e]) - shares[e] = x - if c: - carried[e] = c - inflow[g.dst[e]] = inflow.get(g.dst[e], 0) + c - if x - c: - drops[e] = x - c - delivered = sum(inflow.get(d, 0) for d in dset) - offered = injected if offer is None else offer - return LossyCall(offered, injected, delivered, carried, drops, shares) - - def route_cost(g: Graph, edges, src: int, dsts) -> int | None: """Minimum walk cost of a route from ``src`` to the destination set.""" d = search.distances(g, edges, [src]) diff --git a/tests/reference/policy/p1_amount/search.py b/tests/reference/policy/p1_amount/search.py index 3b4a884..46701d3 100644 --- a/tests/reference/policy/p1_amount/search.py +++ b/tests/reference/policy/p1_amount/search.py @@ -12,8 +12,6 @@ prefix's bottleneck) and the DAG restricted to priority ``>= B*``, (3) one reverse hop count ``h`` and a greedy walk taking the smallest tight edge whose head has ``h(v) = h(u) - 1``; -* ``CostCeiling``: ``Absolute(c)`` or ``Stretch(f)`` against the static shortest cost, - compared exactly (``stretch_le`` never forms a product above 128 bits). Priority values: ``Residual`` = residual units, ``Capacity`` = static capacity units, ``Headroom`` = the exact rational ``residual / capacity`` (0 on an edge of @@ -351,73 +349,3 @@ def spf( if path is None: return SpfResult(None, [], None) return SpfResult(None, sorted(path.edges), path.cost, path) - - -# ------------------------------------------------------------------ cost ceilings - - -def check_ceiling(ceiling) -> tuple[str, object] | None: - if ceiling is None: - return None - kind, value = ceiling - if kind == "Absolute": - if not isinstance(value, int) or isinstance(value, bool) or value < 0: - raise ContractError("Absolute ceiling must be a non-negative integer cost") - return ceiling - if kind == "Stretch": - if isinstance(value, bool) or not isinstance(value, (int, float)): - raise ContractError("Stretch factor must be a number") - if not math.isfinite(value) or value < 1: - raise ContractError("Stretch factor outside [1, inf)") - return ceiling - raise ContractError(f"unknown ceiling {kind!r}") - - -def stretch_le(cost: int, base: int, f: float) -> bool: - """``cost <= f * base`` exactly; f is the dyadic rational it is (f >= 1). - - Exponent-aware: never forms a product above 128 bits (costs below 2^63, the - 53-bit mantissa, and bit lengths compared first). - """ - num, den = Fraction(f).as_integer_ratio() - k = den.bit_length() - 1 # den = 2^k - shift = 0 - while num % 2 == 0 and num > 1: - num //= 2 - shift += 1 - # f = num * 2^(shift - k), num odd and below 2^53 - exp = shift - k - if base == 0: - return cost <= 0 - rhs = base * num # below 2^116 - assert rhs.bit_length() <= 116 - if exp >= 0: - if rhs.bit_length() + exp > 64: - result = True # rhs * 2^exp >= 2^64 > cost - else: - result = cost <= rhs << exp - else: - lhs = cost << (-exp) # -exp < 53 because f >= 1 - assert lhs.bit_length() <= 128 - result = lhs <= rhs - assert result == (Fraction(cost) <= Fraction(f) * base) - return result - - -def within_ceiling(cost: int, ceiling, baseline: int | None) -> bool: - if ceiling is None: - return True - kind, value = ceiling - if kind == "Absolute": - return cost <= value - if baseline is None or baseline == 0: - return False - return stretch_le(cost, baseline, float(value)) - - -def static_shortest(g: Graph, elig, sources, destinations) -> int | None: - """The static shortest cost under the Eligibility (residual ignored).""" - members = member_graph(g, elig, Selection()) - d = distances(g, members, sources) - reach = [d[t] for t in destinations if d[t] is not None] - return min(reach) if reach else None diff --git a/tests/reference/policy/p1_amount/units.py b/tests/reference/policy/p1_amount/units.py index d90378a..3ffa981 100644 --- a/tests/reference/policy/p1_amount/units.py +++ b/tests/reference/policy/p1_amount/units.py @@ -18,7 +18,6 @@ NEVER_REACHED = -1 # potential sentinel of the private flow-core payload (2.2) INTERNAL_CAP_MAX = (1 << 63) - 2 # internal flow-core cap domain [0, 2^63 - 2] COUNTER_LIMIT = 1 << 127 # signed 128-bit cumulative counters (offered, drops) -K_MAX_FLOWS_PER_CALL = 10000 # engine constant (9.2) INF = math.inf # the only non-integer request: +inf diff --git a/tests/reference/policy/p2_transaction/fixtures.py b/tests/reference/policy/p2_transaction/fixtures.py index 05e26f7..418450c 100644 --- a/tests/reference/policy/p2_transaction/fixtures.py +++ b/tests/reference/policy/p2_transaction/fixtures.py @@ -1,7 +1,9 @@ """Prototype 2 fixtures in integer units (APPROACH revision 24, sections 8, 9 and 16). -The 44 fixtures of the grid prototype regenerated in units (the old names mapped in -``FIXTURE_MAP``), plus the review witnesses of review 13 to review 17. Graphs are +The fixtures of the grid prototype regenerated in units (the old names mapped in +``FIXTURE_MAP``), plus the review witnesses of review 13 to review 17; the deletion of T0 removed every +``CapacityAware`` fixture and part with that routing mode (README "T1 replaces +CapacityAware"). Graphs are stated in input coordinates; bundles and expected per-edge arrays are input positions translated through the inverse of ``input_index()``. Expected values are derived in the fixture text or bodies (round robin, highest averages, hand-traced @@ -14,7 +16,6 @@ Graph shapes (input positions): * ``diamond(s0, t0, s1, t1)``: 0 -[0]-> 1 -[1]-> 3 and 0 -[2]-> 2 -[3]-> 3; route 0 = {0, 1}, route 1 = {2, 3}; -* ``routes([(cap, cost), ...])``: route i is 0 -[2i]-> i+1 -[2i+1]-> d; * ``parallel(caps)``: links 0 -> 1. """ @@ -29,7 +30,7 @@ from ledger import FlowGraph from recorder import PSnap from snap import dict_to_input -from units import INF, K_MAX_FLOWS_PER_CALL +from units import INF MF, W, EB = P.MF, P.W_, P.EB LOSSLESS, LOSSY = P.LOSSLESS, P.LOSSY @@ -46,33 +47,14 @@ "combine_multi_source_attribution": "sources_attribution", "combine_proportional_2_vs_3": "sources_maxflow_vs_global", "combine_source_split_additivity": "sources_split_cumulative", - "creation_fewer_routes": "creation_fewer_routes", - "creation_retry_after_release": "creation_retry_after_release", "eb_1_plus_2_vs_3": "eb_1_plus_2_vs_3", "eb_unequal_1_10": "eb_unequal_1_10", - "eight_versus_ten_capacity": "eight_versus_ten_capacity", - "eight_versus_ten_headroom": "eight_versus_ten_headroom", - "eight_versus_ten_residual": "eight_versus_ten_residual", - "flag_table": "flag_table", "four_calls_EB": "four_calls_EB", "four_calls_Lossy": "four_calls_Lossy", "four_calls_P": "four_calls_MaxFlow", "four_calls_W": "four_calls_W", - "growth_256_request_1278": "growth_256_request_1278", - "growth_request_6": "growth_request_6", - "harmful_growth_10_1": "harmful_growth_10_1", - "hidden_beneficial_route": "hidden_beneficial_route", "inf_every_kernel": "inf_every_kernel", - "invalidation_and_detach": "lifetime_remove_orphan_reset", - "limits_diminishing": "limits_diminishing", - "limits_max_flows_created": "limits_kmaxflowspercall", "lossy_diamond_10_then_1": "lossy_diamond_10_then_1", - "reopt_double_spend": "reopt_double_spend", - "request_12_on_5_5": "request_12_on_5_5", - "retention_third_party_removal": "retention_third_party_removal", - "rounded_retention_3_plus_g": "retention_same_structure", - "shared_capacity_view": "shared_capacity_view", - "ten_versus_five": "ten_versus_five", "third_party_occupancy": "third_party_occupancy", "weighted_1_plus_5_vs_6": "weighted_1_plus_5_vs_6", "weighted_frozen_third_party": "weighted_frozen_third_party", @@ -106,34 +88,11 @@ def diamond(s0, t0, s1, t1, c0=1, c1=1): return 4, [(0, 1, s0, c0), (1, 3, t0, c0), (0, 2, s1, c1), (2, 3, t1, c1)] -def routes(specs): - d = len(specs) + 1 - edges = [] - for i, (c, w) in enumerate(specs): - edges += [(0, i + 1, c, w), (i + 1, d, c, w)] - return d + 1, edges - - def parallel(caps, costs=None): costs = costs or [1] * len(caps) return 2, [(0, 1, c, w) for c, w in zip(caps, costs, strict=True)] -def tunnel(priority="Capacity", tie=search.PREFER): - return search.Selection( - multipath=False, multi_edge=False, tie_break=tie, priority=priority - ) - - -def ca(kernel, priority="Capacity", fc=1, mx=None, reopt=False, sel=None, **kw): - return P.FlowPolicyConfig( - P.CapacityAware(flow_count=fc, max_flow_count=mx, reoptimize=reopt, **kw), - kernel, - LOSSLESS, - sel or tunnel(priority), - ) - - def co(kernel, adm=LOSSLESS, sel=None): sel = sel or search.Selection() # By rule (step 3): Weighted with the Residual priority read its weights from the residual @@ -185,284 +144,6 @@ def routes_of(self, pol, src=None): src = next(iter(st)) if src is None else src return [f["route_input"] for f in st[src]] - def shares(self, pol, src=None): - st = pol.state()["cohorts"] - src = next(iter(st)) if src is None else src - return [f["T"] for f in st[src]] - - -# ====================================================================== creation - - -@fixture( - "creation_fewer_routes", - "creation", - ["8b", "9.2"], - "One capacity-5 link, CapacityAware flow_count 2, max 2, request 20: the " - "first reservation exhausts the link, the second search finds nothing, so one " - "flow is created (created flows are the ones that received a route); placed 5, " - "exhausted (growth finds no candidate), routes_changed true.", -) -def creation_fewer_routes(s: PSnap): - c = Ctx(s, "one_link", parallel([5])) - for kernel in (EB, MF, W): - fg = c.ledger() - pol = P.FlowPolicy(fg, 0, 1, ca(kernel, fc=2, mx=2)) - r = s.place(f"{kernel}: request 20", pol, 20) - s.expect( - f"{kernel} result", - (r.placed, r.termination, r.routes_changed), - (5, "exhausted", True), - ) - s.expect(f"{kernel} cohort size", len(pol.flow_ids()), 1) - - -@fixture( - "creation_retry_after_release", - "creation", - ["8", "9.1", "9.4"], - "Another owner holds the only link: a CapacityAware call finds no route, ends " - "no_route, creates nothing and consumes no id (flags false). After the owner's " - "remove() the next call creates the cohort (creation is attempted on every call " - "while the cohort is empty), complete, routes_changed true.", -) -def creation_retry(s: PSnap): - c = Ctx(s, "one_link", parallel([5])) - fg = c.ledger() - other, _ = c.manual(fg, 0, 1, [0], 5) - pol = P.FlowPolicy(fg, 0, 1, ca(MF)) - nxt = fg.next_flow_id() - r = s.place("first call", pol, 1) - s.expect( - "no route", - (r.termination, r.routes_changed, r.weights_changed), - ("no_route", False, False), - ) - s.expect("no id consumed", fg.next_flow_id(), nxt) - other.remove() - r = s.place("second call", pol, 1) - s.expect( - "created", (r.placed, r.termination, r.routes_changed), (1, "complete", True) - ) - s.expect("created id", pol.flow_ids()[0][1], nxt) - - -# ====================================================================== reservations - - -@fixture( - "ten_versus_five", - "reservations", - ["8b", "9.2", "9.4"], - "Two disjoint capacity-5 routes, EB CapacityAware, request 10: flow_count 2 " - "places 10 (the second route is found after the first reservation, complete); " - "flow_count 1 with max 1 places 5 and ends exhausted (a fixed-count cohort full; " - "revision 20, the grid prototype said limit_flows).", -) -def ten_versus_five(s: PSnap): - c = Ctx(s, "diamond_5", diamond(5, 5, 5, 5)) - fg = c.ledger() - r = s.place("flow_count 2", P.FlowPolicy(fg, 0, 3, ca(EB, fc=2, mx=2)), 10, fg=fg) - s.expect("two flows", (r.placed, r.termination), (10, "complete")) - fg = c.ledger() - r = s.place( - "flow_count 1, max 1", P.FlowPolicy(fg, 0, 3, ca(EB, fc=1, mx=1)), 10, fg=fg - ) - s.expect("one flow", (r.placed, r.termination), (5, "exhausted")) - - -def _eight_versus_ten(s: PSnap, priority, at8, term8, routes8): - c = Ctx(s, "diamond_5", diamond(5, 5, 5, 5)) - for volume, expect, term in ((8, at8, term8), (10, 10, "complete")): - fg = c.ledger() - pol = P.FlowPolicy(fg, 0, 3, ca(EB, priority=priority, fc=2, mx=2)) - r = s.place(f"{priority}: request {volume}", pol, volume, fg=fg) - s.expect(f"{priority} {volume}", (r.placed, r.termination), (expect, term)) - s.expect( - f"{priority} reservations at {volume}", - [x["reserved"] for x in r.trace["sources"][0]["stage1"]["reservations"]], - [volume // 2] * 2 - if volume == 10 - else ([4, 1] if routes8 == "shared" else [4, 4]), - ) - if volume == 8: - want = [[0, 1], [0, 1]] if routes8 == "shared" else [[0, 1], [2, 3]] - s.expect(f"{priority} routes at 8", c.routes_of(pol), want) - - -@fixture( - "eight_versus_ten_capacity", - "reservations", - ["8b", "9.2"], - "EB reservation target (P + v) div k with Capacity priority: request 8 reserves " - "4 on route 0, whose residual 1 still ties on static capacity, so the second " - "search takes route 0 again (reservation 1): both flows share route 0 and place " - "5 (exhausted: fixed count); request 10 reserves 5, route 0 is gated, the second " - "flow takes route 1: 10. The non-monotone CapacityAware fixture (9.2).", -) -def eight_versus_ten_capacity(s: PSnap): - _eight_versus_ten(s, "Capacity", 5, "exhausted", "shared") - - -@fixture( - "eight_versus_ten_residual", - "reservations", - ["8b", "9.2"], - "Same with Residual priority: the second search prefers the untouched route " - "(bottleneck 5 against 1): 8 and 10.", -) -def eight_versus_ten_residual(s: PSnap): - _eight_versus_ten(s, "Residual", 8, "complete", "split") - - -@fixture( - "eight_versus_ten_headroom", - "reservations", - ["8b", "9.2"], - "Same with Headroom priority (exact rationals 1/5 against 5/5): 8 and 10.", -) -def eight_versus_ten_headroom(s: PSnap): - _eight_versus_ten(s, "Headroom", 8, "complete", "split") - - -@fixture( - "request_12_on_5_5", - "reservations", - ["8b", "9.2", "9.4"], - "Infeasible reservations: request 12, flow_count 2 = max 2, two capacity-5 " - "routes. EB targets 6 clip to 5 and 5; MaxFlow and Weighted sequential " - "reservations 5 and 5; placed 10, remaining 2, exhausted (fixed count).", -) -def request_12(s: PSnap): - c = Ctx(s, "diamond_5", diamond(5, 5, 5, 5)) - for kernel in (EB, MF, W): - fg = c.ledger() - pol = P.FlowPolicy(fg, 0, 3, ca(kernel, fc=2, mx=2)) - r = s.place(f"{kernel}: request 12", pol, 12, fg=fg) - s.expect( - f"{kernel} result", - (r.placed, r.remaining, r.termination), - (10, 2, "exhausted"), - ) - res = r.trace["sources"][0]["stage1"]["reservations"] - s.expect(f"{kernel} reservations", [x["reserved"] for x in res], [5, 5]) - - -# ====================================================================== growth - - -@fixture( - "growth_request_6", - "growth", - ["8b", "9.2"], - "EB CapacityAware flow_count 1, max 2, two capacity-5 routes, request 6: the " - "first flow takes 5, growth to two flows gives the cohort 6 split [3, 3] " - "(no over-admission); complete, routes_changed true.", -) -def growth_6(s: PSnap): - c = Ctx(s, "diamond_5", diamond(5, 5, 5, 5)) - fg = c.ledger() - pol = P.FlowPolicy(fg, 0, 3, ca(EB, fc=1, mx=2)) - r = s.place("request 6", pol, 6) - s.expect( - "result", - (r.placed, r.termination, r.routes_changed, r.weights_changed), - (6, "complete", True, False), - ) - s.expect("shares", c.shares(pol), [3, 3]) - - -@fixture( - "growth_256_request_1278", - "growth", - ["8b", "9.2"], - "256 parallel capacity-5 links, EB tunnels (Residual), flow_count 1, max 256, " - "request 1278: 255 accepted growth steps, k = 256, the cohort total 1278 split " - "by round robin: 254 flows at 5 and 2 at 4; complete.", -) -def growth_256(s: PSnap): - c = Ctx(s, "parallel_256", parallel([5] * 256)) - fg = c.ledger() - pol = P.FlowPolicy(fg, 0, 1, ca(EB, priority="Residual", fc=1, mx=256)) - r = pol.place(1278) - steps = r.trace["sources"][0]["stage4"] - for st in steps: - st.pop("W", None) - st.pop("shares", None) - s.step("request 1278", result=r.to_json(), growth=steps, created=r.trace["created"]) - s.expect("result", (r.placed, r.termination), (1278, "complete")) - shares = c.shares(pol) - s.expect( - "k and shares", (len(shares), shares.count(5), shares.count(4)), (256, 254, 2) - ) - s.expect( - "accepted growth steps", - sum(1 for x in steps if x.get("decision") == "accepted"), - 255, - ) - s.expect("created", r.trace["created"], 256) - - -@fixture( - "harmful_growth_10_1", - "growth", - ["8b", "9.2", "9.4"], - "Routes of capacity 10 (cost 2) and 1 (cost 4), EB, max 2. P = 10 on route 0; " - "place(1): the candidate on route 1 gives a cohort bound of 3 (round robin [2, 1] " - "over capacities [10, 1]) < 10 and is rejected: delta 0, exhausted, flags false, " - "no id consumed.", -) -def harmful_growth(s: PSnap): - c = Ctx(s, "harmful", diamond(10, 10, 1, 1, c0=1, c1=2)) - fg = c.ledger() - pol = P.FlowPolicy(fg, 0, 3, ca(EB, fc=1, mx=2)) - s.place("request 10", pol, 10) - nxt = fg.next_flow_id() - r = s.place("request 1", pol, 1) - s.expect( - "result", - (r.placed, r.termination, r.routes_changed, r.weights_changed), - (0, "exhausted", False, False), - ) - rej = [ - x - for x in r.trace["sources"][0]["stage4"] - if x.get("decision", "").startswith("rejected") - ] - s.expect( - "rejected candidate", - [(x["route"], x["T_candidate"]) for x in rej], - [(list(c.ids([2, 3])), 3)], - ) - s.expect("no id consumed", fg.next_flow_id(), nxt) - s.expect("total", pol.placed_demand(), 10) - - -@fixture( - "hidden_beneficial_route", - "growth", - ["8b", "9.4"], - "Routes (capacity, cost per edge) (10, 1), (1, 2), (10, 3); P = 10 on the " - "first; place(1) evaluates the cheapest candidate (route 1), rejects it (bound " - "3) and stops: exhausted under the greedy rule, although routes 0 and 2 jointly " - "would total 11 (round robin [6, 5] fits [10, 10]; documented, not searched).", -) -def hidden_beneficial(s: PSnap): - c = Ctx(s, "three_routes", routes([(10, 1), (1, 2), (10, 3)])) - fg = c.ledger() - pol = P.FlowPolicy(fg, 0, 4, ca(EB, fc=1, mx=2)) - s.place("request 10", pol, 10) - r = s.place("request 1", pol, 1) - s.expect("result", (r.placed, r.termination), (0, "exhausted")) - tried = [x["route"] for x in r.trace["sources"][0]["stage4"] if "route" in x] - s.expect("candidate tried", tried, [list(c.ids([2, 3]))]) - rr = P.round_robin(11, 2) - s.expect( - "alternative (not searched) fits", - (rr, rr[0] <= 10 and rr[1] <= 10), - ([6, 5], True), - ) - # ====================================================================== four calls @@ -611,9 +292,8 @@ def lossy_diamond(s: PSnap): "infinite", ["15", "8a", "8b"], "+inf for every kernel: CostOnly MaxFlow, Weighted and EB on 5/5 place 10 " - "(exhausted, remaining +inf); EB and MaxFlow CapacityAware grow to two flows " - "(10); Lossy injects every source member to its residual: 11 on the 1/10 " - "diamond; on 10/10 over 1/10 delivered 11 with 20 offered and 9 dropped.", + "(exhausted, remaining +inf); Lossy injects every source member to its residual: 11 " + "on the 1/10 diamond; on 10/10 over 1/10 delivered 11 with 20 offered and 9 dropped.", ) def inf_every_kernel(s: PSnap): c = Ctx(s, "diamond_5", diamond(5, 5, 5, 5)) @@ -627,15 +307,6 @@ def inf_every_kernel(s: PSnap): (r.placed, r.remaining, r.termination), (10, None, "exhausted"), ) - for kernel in (EB, MF): - fg = c.ledger() - pol = P.FlowPolicy(fg, 0, 3, ca(kernel, fc=1)) - r = s.place(f"CapacityAware {kernel} +inf", pol, INF, fg=fg) - s.expect( - f"CapacityAware {kernel}", - (r.placed, r.termination, len(pol.flow_ids())), - (10, "exhausted", 2), - ) c2 = Ctx(s, "diamond_1_10", diamond(1, 1, 10, 10)) fg = c2.ledger() r = s.place("Lossy +inf 1/10", P.FlowPolicy(fg, 0, 3, co(EB, LOSSY)), INF, fg=fg) @@ -650,125 +321,6 @@ def inf_every_kernel(s: PSnap): ) -# ====================================================================== reoptimisation - - -@fixture( - "retention_third_party_removal", - "reoptimisation", - ["8b", "9.2"], - "Two capacity-5 routes, another owner holds 2 on route 0. EB CapacityAware " - "count 2 (max 2), Capacity priority, reoptimisation. Request 8 reserves 3 and 4 " - "and places 6 ([3, 3]; exhausted). The owner leaves; request 1: flow 0 keeps " - "route 0, flow 1's candidate (route 0, view 2) cannot carry its 3 and is " - "rejected (retention); stage 3 raises the cohort to 7 ([4, 3]); flags false.", -) -def retention(s: PSnap): - c = Ctx(s, "diamond_5", diamond(5, 5, 5, 5)) - fg = c.ledger() - other, _ = c.manual(fg, 0, 3, [0, 1], 2) - pol = P.FlowPolicy(fg, 0, 3, ca(EB, fc=2, mx=2, reopt=True)) - r = s.place("request 8", pol, 8) - s.expect("first", (r.placed, r.termination), (6, "exhausted")) - res = r.trace["sources"][0]["stage1"]["reservations"] - s.expect("reservations", [x["reserved"] for x in res], [3, 4]) - other.remove() - r = s.place("request 1", pol, 1) - rows = r.trace["sources"][0]["stage2"] - s.expect( - "reopt decisions", - [x["decision"].split(":")[0] for x in rows], - ["kept", "rejected"], - ) - s.expect("second", (r.placed, pol.placed_demand(), c.shares(pol)), (1, 7, [4, 3])) - s.expect("flags", (r.routes_changed, r.weights_changed), (False, False)) - - -@fixture( - "shared_capacity_view", - "reoptimisation", - ["8b", "9.2"], - "Shared ingress e0 (10) and parallel egresses e1, e2 (10 each); a third party " - "holds 6 on e1. Two EB tunnels (Residual, Collapse picks the egress with the " - "larger residual) both take e2: [4, 4]. After the third party leaves, request " - "1: flow 0 sees e0 = 2 + 4 = 6 on its view W + own, moves to e1 at T_old = 4; " - "the cohort reaches 9 ([5, 4]); routes_changed true, weights_changed false.", -) -def shared_view(s: PSnap): - c = Ctx(s, "shared", (3, [(0, 1, 10, 1), (1, 2, 10, 1), (1, 2, 10, 1)])) - fg = c.ledger() - other, _ = c.manual(fg, 1, 2, [1], 6) - pol = P.FlowPolicy(fg, 0, 2, ca(EB, priority="Residual", fc=2, mx=2, reopt=True)) - r = s.place("request 8", pol, 8) - s.expect("first", (r.placed, c.routes_of(pol)), (8, [[0, 2], [0, 2]])) - other.remove() - r = s.place("request 1", pol, 1) - row = r.trace["sources"][0]["stage2"][0] - s.expect( - "flow 0 adopted e1", - (row["decision"], row["candidate"]), - ("adopted", list(c.ids([0, 1]))), - ) - s.expect("second", (r.placed, pol.placed_demand(), c.shares(pol)), (1, 9, [5, 4])) - s.expect("flags", (r.routes_changed, r.weights_changed), (True, False)) - - -@fixture( - "reopt_double_spend", - "reoptimisation", - ["8b", "9.2"], - "MaxFlow tunnel with reoptimisation on two parallel capacity-10 links: T = 4 on " - "e0; a third party fills e0. Request 1: the reroute to e1 happens at T_old = 4 " - "(no budget), stage 3 adds 1: placed 1, total 5. The single-link variant (no " - "third party) places 1 as well.", -) -def double_spend(s: PSnap): - c = Ctx(s, "parallel_10_10", parallel([10, 10])) - fg = c.ledger() - pol = P.FlowPolicy(fg, 0, 1, ca(MF, priority="Residual", fc=1, mx=1, reopt=True)) - s.place("request 4", pol, 4) - c.manual(fg, 0, 1, [0], 6, "third party fills e0") - r = s.place("request 1", pol, 1) - s.expect("result", (r.placed, pol.placed_demand(), c.routes_of(pol)), (1, 5, [[1]])) - s.expect("flags", (r.routes_changed, r.weights_changed), (True, False)) - c1 = Ctx(s, "one_link", parallel([10])) - fg1 = c1.ledger() - p1 = P.FlowPolicy(fg1, 0, 1, ca(MF, priority="Residual", fc=1, mx=1, reopt=True)) - s.place("single link request 4", p1, 4, fg=fg1) - r = s.place("single link request 1", p1, 1, fg=fg1) - s.expect("single link", (r.placed, p1.placed_demand()), (1, 5)) - - -@fixture( - "retention_same_structure", - "reoptimisation", - ["8b", "9.4"], - "Three parallel capacity-2 links, EB CapacityAware multipath with " - "reoptimisation: request 3 gives [1, 1, 1]; third parties fill the leftovers. " - "Request 1: the candidate DAG equals the flow's route (a structurally equal " - "candidate is not a reroute): kept, nothing shed, placed 0, exhausted, flags " - "false. (Replaces the grid fixture 3 + g.)", -) -def retention_same(s: PSnap): - c = Ctx(s, "parallel_2", parallel([2, 2, 2])) - fg = c.ledger() - pol = P.FlowPolicy(fg, 0, 1, ca(EB, fc=1, reopt=True, sel=search.Selection())) - s.place("request 3", pol, 3) - s.expect("allocation", c.own(fg, pol), [1, 1, 1]) - for p in range(3): - c.manual(fg, 0, 1, [p], 1, f"third party fills link {p}") - r = s.place("request 1", pol, 1) - s.expect( - "result", - (r.placed, r.termination, r.routes_changed, r.weights_changed), - (0, "exhausted", False, False), - ) - s.expect( - "reopt", [x["decision"] for x in r.trace["sources"][0]["stage2"]], ["kept"] - ) - s.expect("nothing shed", pol.placed_demand(), 3) - - # ====================================================================== third parties @@ -879,31 +431,14 @@ def weighted_additivity(s: PSnap): "admission_zero_and_no_route", "admission", ["13", "9.4", "8"], - "Zero request: complete, nothing created, flags false. Overlapping endpoint " - "sets (src == dst) are rejected at construction (rule 13). Zero capacity is " - "not a missing route (contract r8 3.5, step 1): CostOnly over zero-capacity " + "Overlapping endpoint sets are rejected at construction (rule 13). Zero capacity " + "is not a missing route (the contract's 3.5): CostOnly over zero-capacity " "links has the source in its roster and creates its zero-delivery record on " - "the static support (exhausted: MaxFlow carries 0 there). No route: " - "CapacityAware on a zero baseline has a static roster but no residual " - "route (no_route, no id consumed).", + "the static support (exhausted: MaxFlow carries 0 there).", ) def admission(s: PSnap): c = Ctx(s, "diamond_5", diamond(5, 5, 5, 5)) fg = c.ledger() - pol = P.FlowPolicy(fg, 0, 3, ca(MF)) - r = s.place("request 0", pol, 0) - s.expect( - "zero", - ( - r.termination, - r.placed, - r.routes_changed, - r.weights_changed, - fg.next_flow_id(), - ), - ("complete", 0, False, False, 0), - ) - s.raises("src == dst rejected", P.FlowPolicy, fg, 0, 0, ca(MF)) s.raises("overlapping sets rejected", P.FlowPolicy, fg, [0, 1], [1, 3], co(MF)) c0 = Ctx(s, "diamond_0", diamond(0, 0, 0, 0)) fg0 = c0.ledger() @@ -921,232 +456,11 @@ def admission(s: PSnap): ), ("exhausted", 0, [0], [(0, 2, 4)]), ) - fgz = c.ledger([0, 0, 0, 0]) - pz = P.FlowPolicy(fgz, 0, 3, ca(EB, fc=2)) - r = s.place("CapacityAware on a zero residual", pz, 1, fg=fgz) - s.expect( - "CapacityAware no route", (r.termination, fgz.next_flow_id()), ("no_route", 0) - ) - - -# ====================================================================== limits - - -@fixture( - "limits_kmaxflowspercall", - "limits", - ["8b", "9.2", "9.4"], - "kMaxFlowsPerCall is an engine constant (10,000); the fixture lowers the " - "module's test hook to 3. Growth over five 1-unit links stops after 3 creations " - "(limit_flows, placed 3); two CapacityAware sources share one " - "created counter: source 0 creates 3, source 1's creation is blocked by the cap " - "(local limit_flows, nothing committed for it, no id consumed).", -) -def limits_created(s: PSnap): - s.expect("engine constant", K_MAX_FLOWS_PER_CALL, 10000) - saved = P.MAX_FLOWS_PER_CALL - P.MAX_FLOWS_PER_CALL = 3 - try: - c = Ctx(s, "parallel_1x5", parallel([1] * 5)) - fg = c.ledger() - pol = P.FlowPolicy(fg, 0, 1, ca(MF, priority="Residual")) - r = s.place("request 5", pol, 5) - s.expect( - "growth capped", - (r.placed, r.termination, len(pol.flow_ids())), - (3, "limit_flows", 3), - ) - c2 = Ctx(s, "two_sources", (3, [(0, 2, 1, 1)] * 4 + [(1, 2, 1, 1)] * 4)) - fg = c2.ledger() - two = P.FlowPolicy(fg, [0, 1], 2, ca(MF, priority="Residual")) - r = s.place("two sources request 8", two, 8, fg=fg) - s.expect("offers", r.trace["offers"], {0: 4, 1: 4}) - s.expect( - "local outcomes", - r.trace["local_outcomes"], - {0: "limit_flows", 1: "limit_flows"}, - ) - s.expect( - "result", - (r.placed, r.termination, len(two.flow_ids())), - (3, "limit_flows", 3), - ) - finally: - P.MAX_FLOWS_PER_CALL = saved - - -@fixture( - "limits_diminishing", - "limits", - ["8b", "9.2", "9.4"], - "q = 2^-12: one 50-capacity link (204,800 units) and twenty 0.01 links (41 " - "units each). MaxFlow tunnels (Residual), Diminishing(window 8, fraction 1e-3), " - "request 100 (409,600 units): growth adds 41 units per step; after 8 steps the " - "window sum 328 < 409.6 stops growth (limit_diminishing). Without the guard all " - "20 links are used (exhausted); +inf never arms it.", -) -def limits_diminishing(s: PSnap): - q = 2.0**-12 - from units import to_units - - small = to_units(0.01, q) - big = to_units(50, q) - s.expect("units", (small, big), (41, 204800)) - c = Ctx(s, "fan", parallel([big] + [small] * 20), resolution=q) - dim = P.Diminishing(8, 1e-3) - for label, d, volume, steps, term in ( - ("window8", dim, to_units(100, q), 8, "limit_diminishing"), - ("no guard", None, to_units(100, q), 20, "exhausted"), - ("inf", dim, INF, 20, "exhausted"), - ): - fg = c.ledger() - pol = P.FlowPolicy(fg, 0, 1, ca(MF, priority="Residual", diminishing=d)) - r = s.place(f"{label}", pol, volume, fg=fg) - s.expect( - f"{label}", - (r.placed, r.termination, len(pol.flow_ids())), - (big + steps * small, term, steps + 1), - ) - - -# ====================================================================== lifetime - - -@fixture( - "lifetime_remove_orphan_reset", - "lifetime", - ["8", "18", "13"], - "Section 8 with policies (replaces the invalidation fixture: there is no " - "external removal): reset and copy are rejected while a policy is bound; " - "remove() reverts and retires the ids; a later place opens a new cohort with a " - "new id (routes_changed true); remove() on an empty cohort resets the epoch " - "state; a destroyed policy's records stay as orphans until reset; retired ids " - "throw; ids are never reused.", -) -def lifetime(s: PSnap): - c = Ctx(s, "diamond_5", diamond(5, 5, 5, 5)) - fg = c.ledger() - pol = P.FlowPolicy(fg, 0, 3, ca(MF)) - s.place("request 3", pol, 3) - fid = pol.flow_ids()[0] - s.raises("reset while bound", fg.reset) - s.raises("copy while bound", fg.copy) - pol.remove() - s.expect("reverted", (c.alloc(fg), pol.placed_demand()), ([0, 0, 0, 0], 0)) - s.raises("retired id", fg.record, fid) - r = s.place("restart", pol, 2) - s.expect( - "restart", - (r.routes_changed, r.weights_changed, pol.flow_ids()[0][1]), - (True, False, 1), - ) - pol.remove() - pol.remove() - s.expect( - "empty-cohort remove resets the epoch", - (pol.requested, pol.infinite), - (0, False), - ) - other = P.FlowPolicy(fg, 0, 3, co(EB)) - s.place("other 2", other, 2) - other.destroy() - s.expect("orphan readable", [x.delivered for x in fg.records()], [2]) - s.raises("reset while pol bound", fg.reset) - pol.destroy() - fg.reset() - s.expect("reset clears orphans", (fg.records(), fg.next_flow_id()), ([], 3)) # ====================================================================== flags -@fixture( - "flag_table", - "flags", - ["14", "9.4"], - "The authoritative flag table of revision 20 (flags accumulate committed " - "events): creation (T, F), also at zero delivery; no-op (F, F); saturated call " - "(F, F); adopted Weighted reroute that admits zero (T, T; review-11 C4); " - "rejected growth only (F, F); accepted growth (T, F); EB routes [3, 2, 1] " - "holding 3, request 3: growth onto the second route accepted (gain 2), onto the " - "third rejected: routes_changed stays true; restart after remove() (T, F).", -) -def flag_table(s: PSnap): - c = Ctx(s, "diamond_5", diamond(5, 5, 5, 5)) - fg = c.ledger() - pol = P.FlowPolicy(fg, 0, 3, ca(MF, mx=1)) - rows = {} - rows["creation"] = s.place("creation", pol, 5) - rows["no-op"] = s.place("no-op", pol, 0) - rows["saturated without growth candidate change"] = s.place("saturated", pol, 1) - pol.remove() - rows["restart"] = s.place("restart", pol, 1) - cw = Ctx(s, "parallel_10_20", parallel([10, 20])) - fgw = cw.ledger() - blocking, _ = cw.manual(fgw, 0, 1, [1], 20, "blocking owner") - wsel = tunnel("Capacity") - wpol = P.FlowPolicy( - fgw, - 0, - 1, - P.FlowPolicyConfig( - P.CapacityAware(max_flow_count=1, reoptimize=True), W, LOSSLESS, wsel - ), - ) - s.place("Weighted place(4)", wpol, 4, fg=fgw) - cw.manual(fgw, 0, 1, [0], 6, "owner fills e0") - blocking.remove() - cw.manual(fgw, 0, 1, [1], 16, "owner takes 16 of e1") - rows["adopted Weighted reroute at zero"] = s.place( - "Weighted reroute", wpol, 1, fg=fgw - ) - s.expect( - "reroute admitted zero", rows["adopted Weighted reroute at zero"].placed, 0 - ) - ch = Ctx(s, "harmful", diamond(10, 10, 1, 1, c0=1, c1=2)) - fgh = ch.ledger() - ph = P.FlowPolicy(fgh, 0, 3, ca(EB, fc=1, mx=2)) - s.place("P = 10", ph, 10, fg=fgh) - rows["rejected growth only"] = s.place("rejected growth", ph, 1, fg=fgh) - cg = Ctx(s, "diamond_5b", diamond(5, 5, 5, 5)) - fgg = cg.ledger() - pg = P.FlowPolicy(fgg, 0, 3, ca(EB, fc=1, mx=2)) - s.place("first 5", pg, 5, fg=fgg) - rows["accepted growth"] = s.place("accepted growth", pg, 5, fg=fgg) - c3 = Ctx(s, "routes_3_2_1", routes([(3, 1), (2, 2), (1, 3)])) - fg3 = c3.ledger() - p3 = P.FlowPolicy(fg3, 0, 4, ca(EB, fc=1, mx=3)) - s.place("hold 3", p3, 3, fg=fg3) - r = s.place("request 3", p3, 3, fg=fg3) - decisions = [ - x.get("decision", x.get("stop")) for x in r.trace["sources"][0]["stage4"] - ] - s.expect( - "growth decisions", - [d.split(":")[0] for d in decisions], - ["accepted", "rejected"], - ) - s.expect( - "[3, 2, 1] witness", - (r.placed, r.termination, c3.shares(p3)), - (2, "exhausted", [3, 2]), - ) - rows["accepted then rejected growth"] = r - want = { - "creation": (True, False), - "no-op": (False, False), - "saturated without growth candidate change": (False, False), - "restart": (True, False), - "adopted Weighted reroute at zero": (True, True), - "rejected growth only": (False, False), - "accepted growth": (True, False), - "accepted then rejected growth": (True, False), - } - for name, (rc, wc) in want.items(): - res = rows[name] - s.expect(f"flags: {name}", (res.routes_changed, res.weights_changed), (rc, wc)) - - @fixture( "flag_zero_delivery_creation", "flags", @@ -1495,82 +809,18 @@ def sources_partition(s: PSnap): s.expect("partition independence", out, [[2, 0], [2, 0]]) -@fixture( - "eb_two_flows_per_source_reservation", - "sources", - ["9.2", "9.3", "8b"], - "Per-source binding of the EB reservation target (review-16 R4): two sources, " - "EB CapacityAware flow_count 2 each, request 4: offers [2, 2], each source's " - "target (P_s + v_s) div flow_count = 1 per flow (not the policy-wide 2).", -) -def eb_reservation_binding(s: PSnap): - c = Ctx( - s, - "two_sources_two_links", - (3, [(0, 2, 5, 1), (0, 2, 5, 1), (1, 2, 5, 1), (1, 2, 5, 1)]), - ) - fg = c.ledger() - pol = P.FlowPolicy(fg, [0, 1], 2, ca(EB, fc=2, mx=2, sel=tunnel("Residual"))) - r = s.place("request 4", pol, 4) - targets = {src: tr["stage1"]["eb_target"] for src, tr in r.trace["sources"].items()} - reserved = { - src: [x["reserved"] for x in tr["stage1"]["reservations"]] - for src, tr in r.trace["sources"].items() - } - s.expect("targets", targets, {0: 1, 1: 1}) - s.expect("reservations", reserved, {0: [1, 1], 1: [1, 1]}) - s.expect("result", (r.placed, r.termination), (4, "complete")) - - # ====================================================================== termination @fixture( - "termination_reduction", + "termination_complete_and_no_route", "termination", ["9.4", "14"], - "Local outcomes and the reduction limit_flows > limit_diminishing > exhausted > " - "no_route over unserved sources (review-16 R2): one limit_flows and one " - "exhausted give limit_flows; two sources without routes give no_route; one " - "exhausted and one no_route give exhausted; a fixed-count cohort full is " - "exhausted; a Lossy finite offer consumed with drops is complete; v = 0 is " - "complete; an empty static roster (no walk from the source; a zero-capacity " - "walk would count) is no_route.", + "The terminations of the 14.2 table without a reduction: a Lossy finite offer " + "consumed with drops is complete; v = 0 is complete; an empty static roster (no " + "walk from the source; a zero-capacity walk would count) is no_route.", ) def termination(s: PSnap): - # limit_flows + exhausted: source 0 grows over two 1-unit links with max 3 > - # flow_count 1 (limit_flows needs the guard to fire: max 2 reached with - # remaining offer); source 1 has one 1-unit link and no growth candidate. - c = Ctx(s, "mixed", (3, [(0, 2, 1, 1), (0, 2, 1, 1), (0, 2, 1, 1), (1, 2, 1, 1)])) - fg = c.ledger() - pol = P.FlowPolicy(fg, [0, 1], 2, ca(MF, priority="Residual", fc=1, mx=2)) - r = s.place("request 6 (offers [3, 3])", pol, 6) - s.expect( - "limit_flows + exhausted", - (r.trace["local_outcomes"], r.termination), - ({0: "limit_flows", 1: "exhausted"}, "limit_flows"), - ) - cz = Ctx(s, "no_routes", (3, [(0, 2, 1, 1), (1, 2, 1, 1)])) - fgz = cz.ledger([0, 0]) - pz = P.FlowPolicy(fgz, [0, 1], 2, ca(MF)) - r = s.place("two sources without routes", pz, 2, fg=fgz) - s.expect( - "no_route + no_route", - (r.trace["local_outcomes"], r.termination), - ({0: "no_route", 1: "no_route"}, "no_route"), - ) - fge = cz.ledger([1, 0]) - pe = P.FlowPolicy(fge, [0, 1], 2, ca(MF, mx=1)) - r = s.place("exhausted + no_route", pe, 4, fg=fge) - s.expect( - "exhausted + no_route", - (r.trace["local_outcomes"], r.termination), - ({0: "exhausted", 1: "no_route"}, "exhausted"), - ) - cf = Ctx(s, "fixed", parallel([1])) - fgf = cf.ledger() - r = s.place("fixed count", P.FlowPolicy(fgf, 0, 1, ca(MF, fc=1, mx=1)), 2, fg=fgf) - s.expect("fixed-count cohort full", (r.placed, r.termination), (1, "exhausted")) cl = Ctx(s, "lossy", parallel([1, 10])) fgl = cl.ledger() r = s.place( @@ -1595,34 +845,6 @@ def termination(s: PSnap): s.raises("finite after +inf with an empty roster", p0.place, 1) -@fixture( - "eb_resplit_3_3_to_3_2_2", - "growth", - ["16.3", "9.2"], - "Review-16 R7: CapacityAware EB, flow_count 2, max 3, three disjoint routes of " - "capacities [3, 3, 2] and increasing cost. Request 6 reserves 3 on each of the " - "first two ([3, 3]). Request 1: stage 3 cannot grow the pair; growth adds the " - "third route and the cohort total 7 is resplit [3, 2, 2]: the second flow loses " - "1 while the cohort and placed_demand() gain 1 (individual T_i and edge deltas " - "may decrease; the cohort total never does).", -) -def eb_resplit(s: PSnap): - c = Ctx(s, "routes_3_3_2", routes([(3, 1), (3, 2), (2, 3)])) - fg = c.ledger() - pol = P.FlowPolicy(fg, 0, 4, ca(EB, fc=2, mx=3)) - r = s.place("request 6", pol, 6) - s.expect("first", (r.placed, c.shares(pol)), (6, [3, 3])) - before = c.alloc(fg) - r = s.place("request 1", pol, 1) - s.expect( - "resplit", - (r.placed, r.termination, c.shares(pol), pol.placed_demand()), - (1, "complete", [3, 2, 2], 7), - ) - delta = [a - b for a, b in zip(c.alloc(fg), before, strict=True)] - s.expect("edge deltas (signed)", delta, [0, 0, -1, -1, 2, 2]) - - # ====================================================================== Global @@ -1857,100 +1079,3 @@ def collapse_projection(s: PSnap): s.place(f"mp={mp} {tie} {prio}", pol, 1, fg=fg) want = [1] if tie == search.PREFER and prio != "Capacity" else [0] s.expect(f"mp={mp} {tie} {prio}", c.routes_of(pol), [want]) - - -@fixture( - "eb_growth_equal_route_stop", - "growth", - ["8b", "9.2"], - "Revision 24: with multipath routes growth never adds a flow on a DAG " - "structurally equal to an existing flow's route. Parallel links of capacity 1 and 5, EB " - "CapacityAware multipath, flow_count 1, no max: the first flow (both links) is " - "capped at 2 by round robin over the 1-unit link; growth adds a flow on the " - "5-unit link alone (cohort [2, 2], gain 2); the next candidate is that same " - "route and growth stops: placed 4, exhausted (before revision 24 each further " - "equal-route flow raised the bound by a rounding remainder).", -) -def eb_growth_equal_route(s: PSnap): - c = Ctx(s, "parallel_1_5", parallel([1, 5])) - fg = c.ledger() - pol = P.FlowPolicy(fg, 0, 1, ca(EB, fc=1, sel=search.Selection())) - r = s.place("request 100", pol, 100) - s.expect( - "result", (r.placed, r.termination, r.routes_changed), (4, "exhausted", True) - ) - s.expect( - "routes and shares", (c.routes_of(pol), c.shares(pol)), ([[0, 1], [1]], [2, 2]) - ) - last = r.trace["sources"][0]["stage4"][-1] - s.expect("growth stop reason", last["stop"], "candidate equals a cohort route") - - -@fixture( - "capacityaware_blocked_inf_remove_place", - "lifetime", - ["8", "9.4", "13"], - "A CapacityAware policy whose static roster is non-empty but whose residual " - "routes are blocked by another owner: place(+inf) creates nothing (no_route, no " - "id consumed) yet opens the infinite state, so place(1) is rejected; remove() on " - "the empty cohort resets the epoch state and place(1) is accepted (no_route while " - "blocked); after the owner leaves, place(1) creates the cohort with the next id.", -) -def capacityaware_blocked(s: PSnap): - c = Ctx(s, "one_link", parallel([3])) - fg = c.ledger() - other, _ = c.manual(fg, 0, 1, [0], 3, "owner blocks the only link") - pol = P.FlowPolicy(fg, 0, 1, ca(MF)) - s.expect("static roster", pol.roster, [0]) - nxt = fg.next_flow_id() - r = s.place("place(+inf)", pol, INF) - s.expect( - "+inf creates nothing", - (r.placed, r.termination, r.routes_changed, fg.next_flow_id()), - (0, "no_route", False, nxt), - ) - s.raises("place(1) after +inf in the same epoch", pol.place, 1) - pol.remove() - s.expect("epoch reset", (pol.requested, pol.infinite), (0, False)) - r = s.place("place(1) after remove", pol, 1) - s.expect( - "accepted, still blocked", - (r.placed, r.termination, fg.next_flow_id()), - (0, "no_route", nxt), - ) - other.remove() - r = s.place("place(1) after release", pol, 1) - s.expect( - "created", - (r.placed, r.termination, r.routes_changed, pol.flow_ids()[0][1]), - (1, "complete", True, nxt), - ) - - -@fixture( - "eb_growth_single_path_repeat", - "growth", - ["8b", "9.2"], - "Revision 24 (owner review): a repeated single path is a legitimate growth " - "candidate. Parallel links of capacity 1 and 2, EB CapacityAware single-path " - "tunnels (Deterministic, Collapse keeps the lowest id), flow_count 1, request 3: " - "the first tunnel takes the 1-link (1), growth adds a tunnel on the 2-link " - "(cohort 2, shares [1, 1]), then a third tunnel repeating the 2-link path (cohort " - "3, shares [1, 1, 1]): complete with three tunnels of 1. Stopping on the repeated " - "path would have ended at 2 (exhausted).", -) -def eb_growth_single_path(s: PSnap): - c = Ctx(s, "parallel_1_2", parallel([1, 2])) - fg = c.ledger() - pol = P.FlowPolicy( - fg, 0, 1, ca(EB, fc=1, sel=tunnel("Residual", search.DETERMINISTIC)) - ) - r = s.place("request 3", pol, 3) - s.expect( - "result", (r.placed, r.termination, r.routes_changed), (3, "complete", True) - ) - s.expect( - "three tunnels of 1", - (c.routes_of(pol), c.shares(pol)), - ([[0], [1], [1]], [1, 1, 1]), - ) diff --git a/tests/reference/policy/p2_transaction/policy.py b/tests/reference/policy/p2_transaction/policy.py index 9d6922c..8e0c8a3 100644 --- a/tests/reference/policy/p2_transaction/policy.py +++ b/tests/reference/policy/p2_transaction/policy.py @@ -1,17 +1,11 @@ """The policy engine ``FlowPolicy`` in integer units (APPROACH revision 24, 8 and 9). -One placement engine for the routing modes ``CostOnly``, ``CapacityAware`` and -``Global`` (with or without a support), the kernels ``MaxFlow``, ``Weighted`` and -``EqualBalanced`` and the admissions ``Lossless`` and ``Lossy`` (prototype 1's -kernels). The transaction of 9.2 runs per source (9.3) for ``CapacityAware``: the -roster is fixed at construction (eligible sources that statically reach a destination, -ascending NodeId), each source is offered the increment of its round-robin share of the -cumulative request, and the stages run on the shared working residual ``W``; -``created`` is one counter per call; there is one commit. ``Global`` is a replacement -kernel over the whole eligible graph (or exactly over its support) with the canonical -per-source decomposition. Local outcomes, the termination reduction and the -flag table follow 9.4 (revision 20: flags accumulate committed events). Epochs follow -section 8. +One placement engine for the routing modes ``CostOnly`` and ``Global`` (with or without +a support), the kernels ``MaxFlow``, ``Weighted`` and ``EqualBalanced`` and the admissions +``Lossless`` and ``Lossy``. The roster is fixed at construction (eligible sources that +statically reach a destination, ascending NodeId); there is one commit per call. ``Global`` +is a replacement kernel over the whole eligible graph (or exactly over its support) with the +canonical per-source decomposition. Epochs follow section 8. Step 2 of the next Core change (contract r8, sections 2.2, 4.1, 5.1, 9.1, 10.2, 14.1, 14.2; README "Pooled sources and the origin"): ``CostOnly`` pools its sources. Its @@ -19,8 +13,7 @@ and joined into one program (``make_program``); EqualBalanced and Weighted forward the equal origin over it (``forward``: one split per router, attribution by highest averages); MaxFlow and Global are controllers (``_place_controller``) with the optimized -origin. The result has the 14.1 shape (``PlacementResult``); CapacityAware keeps its -per-source reduction of local outcomes, every other model has the 14.2 termination. +origin. The result has the 14.1 shape (``PlacementResult``) and the 14.2 termination. Step 3 (contract r8, sections 4.1, 5.2, 8, 10.4; README "Programs and Global with a support"): ``Pinned`` is gone from the reference (its programs are checked by the library's @@ -31,6 +24,10 @@ CostOnly program is created at the epoch's first positive call; a controller's program is its solve cut into paths, compared path by path, with the optimized origin's supplies). +When T0 was deleted (the contract's section 6; README "T1 replaces CapacityAware"), the per-source +``CapacityAware`` transaction is gone from the reference with the library's (its tunnel +form, T1, is checked by the library's own tests). + Readings where the contract is silent are listed in ``NOTES.md`` (P-numbers). """ @@ -38,7 +35,6 @@ import copy from dataclasses import dataclass, field -from fractions import Fraction import _p1 # noqa: F401 import flowcore @@ -49,7 +45,6 @@ from ledger import Draft, FlowGraph from units import ( INF, - K_MAX_FLOWS_PER_CALL, UNREACHABLE, ContractError, check_request, @@ -57,11 +52,6 @@ MF, W_, EB = K.MAX_FLOW, K.WEIGHTED, K.EQUAL_BALANCED LOSSLESS, LOSSY = K.LOSSLESS, K.LOSSY -OUTCOME_RANK = {"limit_flows": 4, "limit_diminishing": 3, "exhausted": 2, "no_route": 1} - -# Test hook only: the engine constant kMaxFlowsPerCall is 10,000 (9.2); fixtures -# that exercise the call-wide cap override this module attribute (NOTES P9). -MAX_FLOWS_PER_CALL = K_MAX_FLOWS_PER_CALL # ====================================================================== configuration @@ -72,22 +62,6 @@ class CostOnly: pass -@dataclass(frozen=True) -class Diminishing: - window: int - fraction: float - - -@dataclass(frozen=True) -class CapacityAware: - flow_count: int = 1 - max_flow_count: int | None = None - max_path_cost: tuple | None = None - min_flow_bandwidth: int = 0 - reoptimize: bool = False - diminishing: Diminishing | None = None - - @dataclass(frozen=True) class Global: support: tuple[int, ...] | None = None @@ -337,14 +311,6 @@ def add_view(W: list[int], alloc: dict[int, int]) -> list[int]: return out -def sub_view(V: list[int], alloc: dict[int, int]) -> list[int]: - out = list(V) - for e, x in alloc.items(): - out[e] -= x - assert out[e] >= 0, ("overfilled view", e) - return out - - def merge(allocs) -> dict[int, int]: out: dict[int, int] = {} for a in allocs: @@ -353,24 +319,6 @@ def merge(allocs) -> dict[int, int]: return out -@dataclass -class SourceState: - """Per-source scope of one call (9.2 binding table).""" - - src: int - offer: int | None - P: int - B: int | None - T_entry: int - flows: list[Flow] - created_here: int = 0 - stage1_route: bool = True - capped: bool = False - limit: str | None = None - gains: list[int] = field(default_factory=list) - trace: dict = field(default_factory=dict) - - class FlowPolicy: def __init__( self, @@ -401,7 +349,6 @@ def __init__( self._static = static node_ok = (lambda v: True) if elig is None else (lambda v: elig.node_allowed[v]) self._dests_ok = tuple(d for d in self.destinations if node_ok(d)) - self.baseline: dict[int, int | None] = {} if self.support is not None: # The support trimmed to the walks from each allowed source to an allowed destination # over its allowed edges; the roster is the sources that reach one inside it. @@ -429,9 +376,6 @@ def __init__( d = search.distances(g, static, [s]) if any(d[t] is not None for t in self._dests_ok): roster.append(s) - self.baseline[s] = min( - d[t] for t in self._dests_ok if d[t] is not None - ) self.roster = roster self.owner = fg._bind() self._reset_epoch() @@ -441,7 +385,7 @@ def __init__( def _validate_cfg(self) -> None: cfg = self.cfg r = cfg.routing - if not isinstance(r, (CostOnly, CapacityAware, Global)): + if not isinstance(r, (CostOnly, Global)): raise ContractError("unknown routing variant") if isinstance(r, Global): # Global takes no placement and no selection; a controller is lossless. @@ -453,39 +397,15 @@ def _validate_cfg(self) -> None: if cfg.placement is None: raise ContractError("placement is required") sel = cfg.selection or search.Selection() - # Only CapacityAware's Weighted flows read their weights from the priority. - K.check_kernel( - cfg.placement, - cfg.admission, - sel.priority if isinstance(r, CapacityAware) else "Capacity", - ) - if cfg.weights is not None and not ( - isinstance(r, CostOnly) and cfg.placement == W_ - ): + K.check_kernel(cfg.placement, cfg.admission) + if cfg.weights is not None and cfg.placement != W_: raise ContractError("weights require CostOnly placement=WEIGHTED") - if cfg.admission == LOSSY and isinstance(r, CapacityAware): - raise ContractError("Lossy is rejected with CapacityAware") if ( - isinstance(r, CostOnly) - and len(self.sources) > 1 + len(self.sources) > 1 and not sel.multipath and sel.tie_break == search.PREFER ): raise ContractError("the pooled single-path rule (Q12)") - if isinstance(r, CapacityAware): - if not isinstance(r.flow_count, int) or r.flow_count < 1: - raise ContractError("flow_count >= 1") - if r.max_flow_count is not None and r.max_flow_count < r.flow_count: - raise ContractError("max_flow_count >= flow_count") - if not isinstance(r.min_flow_bandwidth, int) or r.min_flow_bandwidth < 0: - raise ContractError("min_flow_bandwidth is a non-negative integer") - search.check_ceiling(r.max_path_cost) - if r.diminishing is not None: - d = r.diminishing - if not isinstance(d.window, int) or d.window < 1: - raise ContractError("diminishing.window >= 1") - if not 0 < d.fraction < 1: - raise ContractError("diminishing.fraction in (0, 1)") # ------------------------------------------------------------ state @@ -554,28 +474,6 @@ def _route_cost(self, route, src) -> int: c = K.route_cost(self.g, route, src, self._dests_ok) return UNREACHABLE if c is None else c - def _new_flow(self, src, route, view, ctx) -> Flow: - plan = K.make_plan( - self.g, - self.kernel, - self.admission, - src, - self._dests_ok, - route, - self.selection.priority, - view, - ) - ctx["seq"] += 1 - return Flow( - src=src, - route=plan.route, - plan=plan, - cost=self._route_cost(plan.route, src), - offered=0 if self.admission == LOSSY else None, - new=True, - seq=ctx["seq"], - ) - def _cost_only_route(self, src, W) -> tuple[int, ...]: """Static support restricted to the source, selection projected on W.""" g, sel = self.g, self.selection @@ -594,77 +492,6 @@ def _cost_only_route(self, src, W) -> tuple[int, ...]: p = search.canonical_path(g, members, [src], self._dests_ok, prio) return tuple() if p is None else tuple(sorted(p.edges)) - def _search(self, src, view): - """CapacityAware route search on a view (residual gating, ceiling).""" - g, sel, r = self.g, self.selection, self.cfg.routing - threshold = max(1, r.min_flow_bandwidth) - members = search.member_graph(g, self.elig, sel, view, threshold) - if sel.multipath: - dstar, dag = search.tight_dag(g, members, [src], self._dests_ok) - if dstar is None: - return None - route, cost = tuple(dag), dstar - else: - prio = ( - search.priority_fn(g, sel.priority, view) - if sel.tie_break == search.PREFER - else None - ) - p = search.canonical_path(g, members, [src], self._dests_ok, prio) - if p is None: - return None - route, cost = tuple(sorted(p.edges)), p.cost - if not search.within_ceiling(cost, r.max_path_cost, self.baseline.get(src)): - return None - return route - - # ------------------------------------------------------------ amounts - - def _t_max(self, flow: Flow, view, evals) -> int: - if self.kernel == MF: - sol = K.maxflow(self.g, flow.plan, view, None) - return sol.placed - tm = K.t_max(self.g, flow.plan, view) - evals.append(tm.evaluations) - return tm.value - - def _alloc(self, flow: Flow, view, T) -> dict[int, int]: - if self.kernel == MF: - sol = K.maxflow(self.g, flow.plan, view, T) - assert sol.placed == T, "MaxFlow fill below its target" - return {e: x for e, x in enumerate(sol.edge_flows) if x} - return K.alloc(self.g, flow.plan, T) - - def _cohort_alloc(self, flows: list[Flow], T: int) -> list[tuple[int, dict]]: - parts = round_robin(T, len(flows)) - return [ - (t, K.alloc(self.g, f.plan, t)) for f, t in zip(flows, parts, strict=True) - ] - - def _cohort_t_max(self, flows: list[Flow], view, evals) -> int: - src_members = set() - for f in flows: - src_members.update(f.plan.out.get(f.src, [])) - hi = sum(view[e] for e in src_members) - lo, n = 0, 0 - while lo < hi: - mid = (lo + hi + 1) // 2 - n += 1 - total = merge(a for _, a in self._cohort_alloc(flows, mid)) - if K.fits(total, view): - lo = mid - else: - hi = mid - 1 - evals.append(n) - return lo - - def _set_cohort(self, flows: list[Flow], T: int) -> None: - for f, (t, a) in zip(flows, self._cohort_alloc(flows, T), strict=True): - if t != f.T or f.new: - f.alloc = a - f.T = t - f.delivered = t - # ------------------------------------------------------------ place def place(self, volume, outputs: Outputs | None = None) -> PlacementResult: @@ -715,9 +542,7 @@ def place(self, volume, outputs: Outputs | None = None) -> PlacementResult: return self._finish(r, outputs, None, controller) if controller: return self._place_controller(req, outputs) - if self.mode == "CostOnly": - return self._place_pooled(req, outputs) - return self._place_flows(req, outputs) + return self._place_pooled(req, outputs) def _finish( self, result: PlacementResult, outputs: Outputs, sol, controller=False @@ -1078,342 +903,6 @@ def _decompose(self, sol): assert all(x == 0 for x in remaining.values()), "decomposition covers the flow" return out, paths - # ------------------------------------------------------------ route-search modes - - def _offers(self, req) -> list[int | None]: - k = len(self.roster) - if req is None: - return [None] * k - old = round_robin(self.requested, k) - new = round_robin(self.requested + req, k) - return [b - a for a, b in zip(old, new, strict=True)] - - def _place_flows(self, req, outputs) -> PlacementResult: - fg = self.fg - ctx = { - "W": fg.residual(), - "created": 0, - "routes_changed": False, - "weights_changed": False, - "seq": 0, - "drops": {}, - "offered": 0, - "source_loss": 0, - } - cohorts = copy.deepcopy(self.cohorts) - entry = {s: sum(f.delivered for f in cohorts.get(s, [])) for s in self.roster} - offers = self._offers(req) - states = [] - for s, offer in zip(self.roster, offers, strict=True): - flows = cohorts.setdefault(s, []) - st = SourceState( - src=s, - offer=offer, - P=entry[s], - B=offer, - T_entry=sum(f.T for f in flows), - flows=flows, - ) - self._run_source(st, ctx) - states.append(st) - drafts, order = self._drafts(cohorts) - new_ids = fg._commit(self.owner, drafts) - self._assign_ids(order, new_ids) - self.cohorts = {s: c for s, c in cohorts.items() if c} - self.offered += ctx["offered"] - self.prepared = True - if req is None: - self.infinite = True - else: - self.requested += req - placed = sum( - sum(f.delivered for f in cohorts.get(s, [])) - entry[s] for s in self.roster - ) - assert placed >= 0 - if req is not None: - assert placed <= req - outcomes = {st.src: self._local_outcome(st) for st in states} - unserved = [o for o in outcomes.values() if o != "complete"] - term = max(unserved, key=OUTCOME_RANK.__getitem__) if unserved else "complete" - - trace = { - "offers": { - st.src: "inf" if st.offer is None else st.offer for st in states - }, - "local_outcomes": outcomes, - "created": ctx["created"], - "sources": {st.src: st.trace for st in states}, - "W_final": ctx["W"], - } - result = PlacementResult( - placed, - None if req is None else req - placed, - term, - ctx["routes_changed"], - ctx["weights_changed"], - sorted(ctx["drops"].items()), - call_source_loss=ctx["source_loss"], - trace=trace, - ) - return self._finish(result, outputs, None) - - def _local_outcome(self, st: SourceState) -> str: - """A CapacityAware source's outcome (Lossless).""" - delivered = sum(f.delivered for f in st.flows) - st.P - if st.offer == 0: - return "complete" - if st.offer is not None and delivered == st.offer: - return "complete" - if st.limit == "limit_flows" or st.capped: - return "limit_flows" - if st.limit == "limit_diminishing": - return "limit_diminishing" - if not st.flows: - return "no_route" - return "exhausted" - - def _run_source(self, st: SourceState, ctx) -> None: - if not st.flows: - self._stage1(st, ctx) - if not st.flows: - return - if self.cfg.routing.reoptimize: - self._stage2(st, ctx) - if self.kernel == EB: - self._stage3_eb(st, ctx) - else: - self._stage3_seq(st, ctx) - self._stage4(st, ctx) - - # ---- stage 1 - - def _stage1(self, st: SourceState, ctx) -> None: - W = ctx["W"] - tr: dict = {} - # CapacityAware (the only staged model). - r = self.cfg.routing - S = list(W) - rem = st.offer - target = None - if self.kernel == EB and st.offer is not None: - target = (st.P + st.offer) // r.flow_count - tr.update(eb_target=target, reservations=[]) - budget = min(r.flow_count, MAX_FLOWS_PER_CALL - ctx["created"]) - stopped = False - for _ in range(budget): - route = self._search(st.src, S) - if route is None: - stopped = True - break - f = self._new_flow(st.src, route, S, ctx) - evals: list[int] = [] - bound = self._t_max(f, S, evals) - if self.kernel == EB: - t = bound if target is None else min(target, bound) - else: - t = bound if rem is None else min(rem, bound) - if rem is not None: - rem -= t - a = self._alloc(f, S, t) if t else {} - tr["reservations"].append( - { - "route": list(route), - "S": list(S), - "T_bound": bound, - "reserved": t, - } - ) - S = sub_view(S, a) - st.flows.append(f) - ctx["created"] += 1 - st.created_here += 1 - # the call-wide cap blocked (part of) the creation, not a missing route - st.capped = budget < r.flow_count and not stopped - tr["created_cap_blocked"] = st.capped - if st.flows: - ctx["routes_changed"] = True - st.trace["stage1"] = tr - - # ---- stage 2 - - def _stage2(self, st: SourceState, ctx) -> None: - rows = [] - for f in st.flows: - if f.new: - continue - W_i = add_view(ctx["W"], f.alloc) - cand = self._search(st.src, W_i) - row = { - "flow": list(f.flow_id), - "T": f.T, - "candidate": None if cand is None else list(cand), - } - if cand is None or cand == f.route: - row["decision"] = "kept" - rows.append(row) - continue - trial = self._new_flow(st.src, cand, W_i, {"seq": 0}) - evals: list[int] = [] - bound = self._t_max(trial, W_i, evals) - if bound < f.T: - row.update(decision="rejected: delivers less than T_i", bound=bound) - rows.append(row) - continue - a = self._alloc(trial, W_i, f.T) if f.T else {} - ctx["W"] = sub_view(W_i, a) - f.route, f.plan, f.cost, f.alloc = trial.route, trial.plan, trial.cost, a - ctx["routes_changed"] = True - if self.kernel == W_: - ctx["weights_changed"] = True - row.update(decision="adopted", alloc=sorted(a.items())) - rows.append(row) - st.trace["stage2"] = rows - - # ---- stage 3 - - def _stage3_seq(self, st: SourceState, ctx) -> None: - rows = [] - for f in st.flows: - V = add_view(ctx["W"], f.alloc) - evals: list[int] = [] - if self.kernel == MF: - cap = None if st.B is None else f.T + st.B - sol = K.maxflow(self.g, f.plan, V, cap) - t_new = sol.placed - assert t_new >= f.T - f.alloc = {e: x for e, x in enumerate(sol.edge_flows) if x} - curve = sol.cost_distribution - else: - bound = self._t_max(f, V, evals) - target = bound if st.B is None else min(f.T + st.B, bound) - t_new = max(f.T, target) - if t_new != f.T or f.new: - f.alloc = K.alloc(self.g, f.plan, t_new) - curve = None - ctx["W"] = sub_view(V, f.alloc) - gain = t_new - f.T - rows.append( - { - "T": [f.T, t_new], - "evals": evals, - "curve": curve, - "alloc": sorted(f.alloc.items()), - } - ) - f.T = t_new - f.delivered = t_new - if st.B is not None: - st.B -= gain - st.trace["stage3"] = rows - - def _stage3_eb(self, st: SourceState, ctx) -> None: - flows = st.flows - current = merge(f.alloc for f in flows) - V = add_view(ctx["W"], current) - T = sum(f.T for f in flows) - evals: list[int] = [] - bound = self._cohort_t_max(flows, V, evals) - target = bound if st.B is None else min(T + st.B, bound) - t_new = max(T, target) - self._set_cohort(flows, t_new) - ctx["W"] = sub_view(V, merge(f.alloc for f in flows)) - if st.B is not None: - st.B -= t_new - T - st.trace["stage3"] = { - "T": [T, t_new], - "bound": bound, - "evals": evals, - "shares": [f.T for f in flows], - } - - def _stage4(self, st: SourceState, ctx) -> None: - r = self.cfg.routing - steps = [] - v = st.offer - threshold = None - if r.diminishing is not None and v is not None: - threshold = Fraction(r.diminishing.fraction) * v - accepted = 0 - while st.B is None or st.B > 0: - if ctx["created"] >= MAX_FLOWS_PER_CALL: - st.limit = "limit_flows" - steps.append({"stop": "kMaxFlowsPerCall"}) - break - if r.max_flow_count is not None and len(st.flows) >= r.max_flow_count: - if r.max_flow_count > r.flow_count: - st.limit = "limit_flows" - steps.append({"stop": "max_flow_count", "k": len(st.flows)}) - break - cand = self._search(st.src, ctx["W"]) - if cand is None: - steps.append({"stop": "no candidate"}) - break - if self.selection.multipath and any(f.route == cand for f in st.flows): - # revision 24 (owner review): with multipath routes a DAG already spans - # every equal-cost path, so a second flow on a structurally equal DAG - # gains only round-robin remainders: growth stops. A repeated single path - # is a legitimate tunnel and stays a growth candidate. - steps.append( - {"stop": "candidate equals a cohort route", "route": list(cand)} - ) - break - f = self._new_flow(st.src, cand, ctx["W"], ctx) - step: dict = {"route": list(cand), "W": list(ctx["W"])} - evals: list[int] = [] - if self.kernel == EB: - current = merge(x.alloc for x in st.flows) - V = add_view(ctx["W"], current) - T = sum(x.T for x in st.flows) - trial = st.flows + [f] - bound = self._cohort_t_max(trial, V, evals) - t_cand = bound if v is None else min(st.T_entry + v, bound) - step.update(T=T, T_candidate=t_cand, bound=bound) - if t_cand <= T: - step["decision"] = "rejected: cohort total not larger" - ctx["seq"] -= 1 - steps.append(step) - break - st.flows.append(f) - self._set_cohort(st.flows, t_cand) - ctx["W"] = sub_view(V, merge(x.alloc for x in st.flows)) - gain = t_cand - T - step["shares"] = [x.T for x in st.flows] - else: - bound = self._t_max(f, ctx["W"], evals) - fill = bound if st.B is None else min(st.B, bound) - step.update(bound=bound, fill=fill) - if fill == 0: - step["decision"] = "rejected: zero fill" - ctx["seq"] -= 1 - steps.append(step) - break - f.alloc = self._alloc(f, ctx["W"], fill) - f.T = f.delivered = fill - ctx["W"] = sub_view(ctx["W"], f.alloc) - st.flows.append(f) - gain = fill - ctx["created"] += 1 - ctx["routes_changed"] = True - accepted += 1 - st.gains.append(gain) - if st.B is not None: - st.B -= gain - step.update(decision="accepted", gain=gain, evals=evals) - steps.append(step) - if threshold is not None and accepted >= r.diminishing.window: - recent = sum(st.gains[-r.diminishing.window :]) - if recent < threshold and st.B > 0: - st.limit = "limit_diminishing" - steps.append( - { - "stop": "diminishing", - "recent": recent, - "threshold": str(threshold), - } - ) - break - st.trace["stage4"] = steps - # ------------------------------------------------------------ commit def _drafts(self, cohorts) -> tuple[list[Draft], list[Flow]]: diff --git a/tests/typing/invalid_client.py b/tests/typing/invalid_client.py index 9c5b18a..1ceb164 100644 --- a/tests/typing/invalid_client.py +++ b/tests/typing/invalid_client.py @@ -42,8 +42,8 @@ ng.FlowLedger(g, residual=np.zeros(1, dtype=np.float64)) # expect: reportArgumentType ng.spf(g, 0, ng.KspOptions(1, sel)) # expect: reportArgumentType ng.capacity(g, 0, 1, cfg) # expect: reportArgumentType -guard = ng.DiminishingReturns(2, 0.5) -ng.CapacityAware(max_path_cost=guard) # expect: reportArgumentType +guard = ng.Tunnels(2) +ng.CapacityAware(guard, max_path_cost=guard) # expect: reportArgumentType ng.to_units("1.5", 1.0) # expect: reportCallIssue, reportArgumentType # FlowPolicyConfig takes keywords only. ng.FlowPolicyConfig(ng.Global()) # expect: reportCallIssue diff --git a/tests/typing/valid_client.py b/tests/typing/valid_client.py index d9b673a..fa4166b 100644 --- a/tests/typing/valid_client.py +++ b/tests/typing/valid_client.py @@ -71,14 +71,27 @@ 0, [3], ng.FlowPolicyConfig( - routing=ng.CapacityAware(flow_count=2, max_path_cost=ng.Stretch(1.5)), - placement=ng.FlowPlacement.EQUAL_BALANCED, + routing=ng.CapacityAware(ng.Tunnels(2), max_path_cost=ng.Stretch(1.5)), admission=ng.Admission.LOSSLESS, - selection=sel, ), ) -result = policy.place(float("inf"), ng.OutputOptions(residual=True)) +result = policy.replace( + 10, + design_demand=8, + outputs=ng.OutputOptions(residual=True, reservation_edge_flows=True), +) assert_type(result, ng.PlacementResult) +plan = result.plan +if plan is not None: + assert_type(plan.design_demand, int | float) + assert_type(plan.head_design, tuple[tuple[int, int], ...]) +assert_type( + result.program.tunnels[0].edges if result.program else None, tuple[int, ...] | None +) +held = result.reservation_edge_flows +if held is not None: + assert_type(held, npt.NDArray[np.int64]) +assert_type(ledger.reserved(), npt.NDArray[np.int64]) assert_type(result.remaining, int | float) residual = result.residual if residual is not None: @@ -110,7 +123,7 @@ assert_type(program.tunnels, tuple[ng.Tunnel, ...]) assert_type(program.source_weights, tuple[tuple[int, int], ...] | None) for tunnel in program.tunnels: - assert_type(tunnel.edges, tuple[int, ...]) + assert_type(tunnel.edges, tuple[int, ...] | None) pinned_cfg = ng.FlowPolicyConfig( routing=ng.Pinned(program, black_holes=elig), admission=ng.Admission.LOSSY ) From 6b1a53f5df3adb9249cce31eedbc8925634389e8 Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Mon, 19 Oct 2026 08:13:51 +0100 Subject: [PATCH 17/39] T2: the controller's equal tunnels per head Global(tunnels=Tunnels(N)) lays out the same number of single-path tunnels for every live head with one common whole-unit bandwidth: as large as possible, no larger than a finite design needs, on the cheapest routes, then with prefer_headroom on the routes that leave the most spare capacity, then one fixed tie; Tunnels(L, up_to=True) picks the smallest sufficient count. The tunnels form a forwarding program, with Tunnel.planned, T2's TunnelPlan fields, evaluators, sensitivity and failure replay. Every Global now rejects a path selection; the headroom objective is its own option. Timing against the previous step: 24 rows within -1.2 % to +1.6 %, identical results. Co-Authored-By: Claude Opus 5.5 --- CHANGELOG.md | 59 +- CMakeLists.txt | 2 + README.md | 37 +- bindings/python/axes.cpp | 3 +- bindings/python/evaluators.cpp | 21 +- bindings/python/flow_policy.cpp | 35 +- bindings/python/flow_record.cpp | 4 +- bindings/python/placement_result.cpp | 65 +- bindings/python/policy_config.cpp | 30 +- bindings/python/program.cpp | 27 +- bindings/python/routing.cpp | 54 +- bindings/python/values.hpp | 26 +- dev/perf/README.md | 1 + dev/perf/aba_api.hpp | 52 + dev/perf/aba_rows.hpp | 65 + dev/perf/test_tool.py | 4 +- dev/run-checks.sh | 10 + dev/stubs/generate.py | 1 + dev/stubs/overrides.pyi | 31 +- docs/semantics.md | 306 +++- include/netgraph/core/detail/flow_core.hpp | 7 + .../netgraph/core/detail/policy_engine.hpp | 20 +- include/netgraph/core/detail/program_data.hpp | 33 +- include/netgraph/core/detail/tunnels.hpp | 50 +- include/netgraph/core/evaluators.hpp | 31 +- include/netgraph/core/flow_policy.hpp | 92 +- include/netgraph/core/flow_record.hpp | 2 +- include/netgraph/core/options.hpp | 3 +- include/netgraph/core/program.hpp | 17 +- python/netgraph_core/__init__.py | 6 +- python/netgraph_core/__init__.pyi | 238 ++- src/evaluators.cpp | 42 +- src/flow_core.cpp | 25 +- src/flow_policy.cpp | 197 ++- src/program.cpp | 1 + src/tunnels_t2.cpp | 771 ++++++++++ tests/cpp/flow_policy_fault_tests.cpp | 190 ++- tests/cpp/flow_policy_tests.cpp | 8 +- tests/cpp/pooled_origin_tests.cpp | 8 +- tests/cpp/state_comparators.hpp | 3 +- tests/cpp/test_utils.hpp | 129 ++ tests/cpp/tunnels_t1_tests.cpp | 5 +- tests/cpp/tunnels_t2_tests.cpp | 1328 +++++++++++++++++ tests/py/test_docs_examples.py | 2 +- tests/py/test_flow_policy.py | 11 +- tests/py/test_origin.py | 14 +- tests/py/test_public_surface.py | 26 + tests/py/test_tunnel_oracle.py | 232 ++- tests/py/test_tunnels_t2.py | 1313 ++++++++++++++++ tests/py/tunnel_oracle.py | 393 ++++- tests/typing/invalid_client.py | 2 + tests/typing/valid_client.py | 22 + 52 files changed, 5652 insertions(+), 402 deletions(-) create mode 100644 src/tunnels_t2.cpp create mode 100644 tests/cpp/tunnels_t2_tests.cpp create mode 100644 tests/py/test_tunnels_t2.py diff --git a/CHANGELOG.md b/CHANGELOG.md index 3ed2e01..da8ba14 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -44,9 +44,9 @@ engine. It replaces the 0.11 API. while a policy is bound; `reset()` clears the records and holds a destroyed policy left behind; a copy keeps the holds). `FlowRecord` carries the flow's endpoints as sets, admission, bundle (`PredDAG`), route cost, `offered` (Lossy only), delivery, per-edge allocations, drops and - `reserved_edges` (an up T1 tunnel's holds), and `entry` (the program entry a T1 or Pinned record - carries); counters are 128-bit (exact Python ints). Policies place, hold and remove; holds never - police traffic. + `reserved_edges` (an up T1 tunnel's holds), and `entry` (the program entry a T1, T2 or Pinned + record carries); counters are 128-bit (exact Python ints). Policies place, hold and remove; holds + never police traffic. - **Kernels**: `FlowPlacement` (`MAX_FLOW`, `WEIGHTED`, `EQUAL_BALANCED`) and `Admission` (`LOSSLESS`, `LOSSY`). `MAX_FLOW` re-solves the flow with the flow core on its route over the free capacity plus its own allocation; `WEIGHTED` splits in proportion to integer weights frozen when @@ -59,27 +59,30 @@ engine. It replaces the 0.11 API. is the one placement engine. `FlowPolicyConfig(*, routing, placement=None, admission=LOSSLESS, selection=None, origin=None, weights=None, edge_weights=None)` takes keywords only; the routing is `CostOnly()`, `CapacityAware(Tunnels(N), *, max_path_cost=None, - min_unreserved_bandwidth=0)` (T1, below), `Global(*, support=None)` (a support restricts the - controller to a DAG's edges) or `Pinned(program, *, black_holes=None)`; each routing accepts the + min_unreserved_bandwidth=0)` (T1, below), `Global(*, support=None, tunnels=None)` (a support + restricts the controller to a DAG's edges; `tunnels` makes it T2, below) or `Pinned(program, *, + black_holes=None)`; each routing accepts the combinations of one table (placement required for CostOnly and accepted by no other routing; `Origin.EQUAL` or `OPTIMIZED`; admission; selection; weights) and any other raises `ValueError`, the first defect in a stated order. `place(volume, outputs=None)` forwards CostOnly's pooled program or re-solves the controllers (Global and CostOnly `MAX_FLOW`: the cumulative minimum-cost flow on the residual plus the - policy's own allocation, under either origin); T1 has no `place` (`T1 does not support - incremental placement`). Every call returns `PlacementResult`: this call's `placed`, + policy's own allocation, under either origin); T1 and T2 have no `place` (` does not + support incremental placement`). Every call returns `PlacementResult`: this call's `placed`, `remaining`, `delivery_delta`, `call_drops`, `call_source_loss`, `termination` and the flags `routes_changed`, `weights_changed` and `reservations_changed`; the demand's `requested`, `offered`, `admitted`, `delivered`, `unadmitted`, `source_loss`, `drops`, `by_source` - (`SourceFlow` rows), `total_cost` and `cost_distribution`, `program`, `plan` (T1's - `TunnelPlan`: `count`, `design_demand`, `head_design`, `reserved_total`) and `by_tunnel` + (`SourceFlow` rows), `total_cost` and `cost_distribution`, `program`, `plan` (the tunnel + models' `TunnelPlan`: `count`, `design_demand`, `head_design`, `reserved_total`, and T2's + `live_heads`, `insufficient_resolution`, `fluid_share`, `common_share`, `planned_per_tunnel`, + `planned_total`, `route_cost`, `headroom_penalty`, `forwarding_bound`) and `by_tunnel` (`TunnelFlow` rows); and `edge_flows`, `residual`, `bottleneck`, `reservation_edge_flows` and `min_cut` when requested through `OutputOptions`. A request of 0 is validated like any other. `evaluate(offer, *, design_demand=None)` (computes a whole new offer on the policy's released view and publishes nothing), `replace(offer, *, design_demand=None)` (the same, published: new - records, a new epoch; `design_demand` is T1's design, `None` meaning the offer, rejected by the - other routings) and `forward(offer, black_holes=None)` (a whole new offer over the installed - program, no route computation, T1's holds kept), `remove()`, `records()`, `record(flow_id)` + records, a new epoch; `design_demand` is the tunnel models' design, `None` meaning the offer, + rejected by the other routings) and `forward(offer, black_holes=None)` (a whole new offer over + the installed program, no route computation, T1's holds and T2's plan kept), `remove()`, `records()`, `record(flow_id)` (the policy's own records), `placed_demand()` and `program` complete the policy. - **T1 tunnels**: `CapacityAware(Tunnels(N))` models distributed RSVP-TE head ends, with no controller. A design volume D is split by round robin over the roster heads and each head's @@ -102,9 +105,31 @@ engine. It replaces the 0.11 API. 2^62)`, `tunnel limit exceeded: heads x tunnels > 1073741823`, `T1 requires a finite design demand`, ` does not accept design_demand` and `T1 capacity requires design_demand`. +- **T2 tunnels**: `Global(tunnels=Tunnels(N))` models a central controller: every live head + (one reaching a destination over links with free capacity of at least one unit; the others are + dead, keep their roster position and lose their share) gets N single-path tunnels with one + common whole-unit planned bandwidth. The largest common size U comes from quota flows (K = live + heads times N path units, a maximum flow per tested size), with the exact fluid optimum as a + `Fraction`; a finite design lowers it to the largest live design share per tunnel; then, among + the count vectors at that size, the smallest route-cost sum, then with `prefer_headroom=True` the + smallest headroom penalty (each tunnel on a link pays `floor(2^32 (B - V + j u) / B)` for its + slot j), then one canonical unit-by-unit augmentation (fewest arcs, smallest arc keys, reverse + arcs allowed); tunnels in round order with index `j * H + i` (dead heads leave holes), weight 1, + `Tunnel.planned` = u, never held. `Tunnels(L, up_to=True)` chooses the smallest common count up + to L whose program carries the live part of the design (else the best, then the smallest), + skipping a count only by two proved bounds. No live head, or no whole unit per tunnel + (`insufficient_resolution`), installs a program without tunnels that keeps the roster. Origin + `EQUAL`, or `OPTIMIZED` with one input source; admission Lossless or Lossy; `design_demand` + (`None`: the offer; `float('inf')`: unlimited). Evaluators take an unlimited design when none is + given (Lossless) or the offered amount (Lossy: finite; without one, the design if finite). + `Global(prefer_headroom=True)` (False by default) switches the headroom objective on; every + `Global`, with or without tunnels, rejects a selection (`Global does not accept selection`, + first), and a selection's `priority` never enables a controller objective. Validation: `Global does not accept selection`, `Global support and tunnels are + mutually exclusive`, `prefer_headroom requires tunnels`, `T2 with several sources requires + origin=EQUAL`, `T2 LOSSY capacity requires finite offered`. - **Forwarding programs**: `ForwardingProgram`, the routes and integer weights of one demand (tunnels `Tunnel`, split routes) with its injection (equal sources, or the captured source - weights of an optimized controller). CostOnly, Global and T1 produce one (`policy.program`, + weights of an optimized controller). CostOnly, Global, T1 and T2 produce one (`policy.program`, `result.program`; the controllers decompose their solved flow into paths, also with one source); `ForwardingProgram.from_routes(graph, sources, destinations, routes, *, placement, weights, edge_weights, residual)` builds one from `Route(head, Path or PredDAG, *, weight=1)` @@ -155,8 +180,9 @@ engine. It replaces the 0.11 API. unchanged. `clear()` raises when frozen, and `thaw()` returns to building mode after the caller has joined every reader. - **Evaluators**: one options type, `QueryOptions(config, *, elig=None, cache=None, outputs=None, - design_demand=None, offered=None)` (`design_demand`: T1's design, required and finite; - `offered`: the finite offer T1 and Pinned Lossy capacity require); + design_demand=None, offered=None)` (`design_demand`: T1's design, required and finite, or T2's; + `offered`: the finite offer T1, T2 and Pinned Lossy capacity require, T2 taking a finite design + instead); `capacity(graph, sources, destinations, opts)` (with `Global()` the exact maximum flow, its marginal cost curve and its minimum cut), `batch_capacity(graph, pairs, opts, per_pair_elig=None, workers=None)` (pair order; the lowest failing index raises; Pinned is rejected) and `sensitivity(graph, sources, @@ -167,7 +193,8 @@ engine. It replaces the 0.11 API. 4096]; 1 when unset or invalid). - **Flow core**: one exact integer minimum-cost flow solver (successive shortest paths with potentials, then Dinic phases for each cost level; each edge is its own arc, visited in - ascending EdgeId) serves Global routing, the `MAX_FLOW` kernel and the evaluators (sensitivity + ascending EdgeId) serves Global routing, the `MAX_FLOW` kernel, T2's sizing (every cost taken as + 0: a maximum flow) and the evaluators (sensitivity repairs the baseline's solution for each removed edge instead of solving again); the private entry `_netgraph_core._place_global_units` returns the value, the marginal cost curve, the edge flows, the minimum cut, the potentials and six operation counters. The solver numbers its diff --git a/CMakeLists.txt b/CMakeLists.txt index 385afc5..ef245e4 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -79,6 +79,7 @@ add_library(netgraph_core STATIC src/program.cpp src/forwarding.cpp src/tunnels_t1.cpp + src/tunnels_t2.cpp ) target_include_directories(netgraph_core PUBLIC $ @@ -162,6 +163,7 @@ if(NETGRAPH_CORE_BUILD_TESTS) tests/cpp/pooled_origin_tests.cpp tests/cpp/program_tests.cpp tests/cpp/tunnels_t1_tests.cpp + tests/cpp/tunnels_t2_tests.cpp ) target_compile_definitions(netgraph_core_tests PRIVATE NETGRAPH_CORE_TEST_DATA="${CMAKE_CURRENT_SOURCE_DIR}/tests/data") # Allocation-failure tests replace the global operator new: a separate executable. diff --git a/README.md b/README.md index c3daf9e..7d58592 100644 --- a/README.md +++ b/README.md @@ -108,28 +108,36 @@ specified in [docs/semantics.md](docs/semantics.md). - `Global(support=None)`: an ideal controller: the minimum-cost flow from all the policy's sources to its destinations, on the free capacity plus its own allocation, optionally only over the edges of a support DAG; + - `Global(tunnels=Tunnels(N))` (T2): a central controller (as a PCE) lays out, for every head + that reaches a destination over free capacity, N single-path tunnels with one common + whole-unit planned bandwidth: as large as possible, then (for a finite design) no larger than + needed, then the cheapest routes, then with `prefer_headroom=True` the routes that leave the most + spare capacity, then one fixed tie; `Tunnels(L, up_to=True)` chooses the smallest common count + up to L that carries the design. The planned bandwidth is never held. NetGraph's TE presets + map onto it: `TE_ECMP_16_LSP` is `Global(tunnels=Tunnels(16))` and `TE_ECMP_UP_TO_256_LSP` + `Global(tunnels=Tunnels(256, up_to=True))`, both with `prefer_headroom=True`; - `Pinned(program, black_holes=None)`: forwarding over a given `ForwardingProgram`, computing nothing; the policy's Eligibility fails the tunnels it touches (their heads split over the survivors) and `black_holes` makes failed elements swallow what reaches them (stale forwarding). -- **`ForwardingProgram`**: the routes and integer weights of one demand. CostOnly, Global and T1 - produce one (`policy.program`, `result.program`); `ForwardingProgram.from_routes(graph, +- **`ForwardingProgram`**: the routes and integer weights of one demand. CostOnly, Global, T1 + and T2 produce one (`policy.program`, `result.program`); `ForwardingProgram.from_routes(graph, sources, destinations, routes)` builds one from `Route(head, Path or PredDAG, weight=1)` entries. - **`place(volume, outputs=None)`** adds `volume` to the policy's request as one all-or-nothing step (CostOnly forwards over the program it prepares once per epoch; the controllers re-solve - what they already deliver plus this request; T1 has no `place`) and returns + what they already deliver plus this request; T1 and T2 have no `place`) and returns a `PlacementResult`: this call's `placed`, `remaining`, `delivery_delta`, `call_drops`, `call_source_loss`, `termination` and flags; the demand's `requested`, `offered`, `admitted`, `delivered`, `unadmitted`, `source_loss`, `drops`, per-source rows `by_source`, `total_cost` - (controllers), `cost_distribution` (optimized Global), the `program`, T1's `plan` and + (controllers), `cost_distribution` (optimized Global), the `program`, the tunnel models' `plan` and `reservations_changed`, and per-tunnel rows `by_tunnel`; and, when requested through `OutputOptions`, `edge_flows`, `residual`, `bottleneck`, `reservation_edge_flows` and `min_cut` (optimized Global). `evaluate(offer, design_demand=None)` computes a whole new offer without publishing it, - `replace(offer, design_demand=None)` publishes it (T1 sets its tunnels up for the design, - `None` meaning the offer), `forward(offer, black_holes=None)` sends it over the installed - program (T1 keeps its tunnels and holds); `remove()` reverts the policy's flows and holds; `records()`, `record(flow_id)`, `placed_demand()` and `program` read its + `replace(offer, design_demand=None)` publishes it (T1 sets its tunnels up and T2 lays them out + for the design, `None` meaning the offer), `forward(offer, black_holes=None)` sends it over the + installed program (T1 keeps its tunnels and holds, T2 its tunnels and plan); `remove()` reverts the policy's flows and holds; `records()`, `record(flow_id)`, `placed_demand()` and `program` read its state. - **Failure guarantee**: every public call either completes or raises one exception and leaves every ledger, policy, cache and scratch buffer as it was, whatever fails (validation, memory, a @@ -183,7 +191,8 @@ values. All three take one options type, `QueryOptions(config, *, elig=None, cache=None, outputs=None, design_demand=None, offered=None)`. `capacity(graph, sources, destinations, opts)` is `place(+inf)` of a policy on a fresh ledger (a Lossy Pinned policy places the finite `offered` instead; T1 evaluates the tunnels it sets up -for the required finite `design_demand`, forwarding `+inf` or, Lossy, the finite `offered`); `Global()` gives the +for the required finite `design_demand`, forwarding `+inf` or, Lossy, the finite `offered`; T2 +the same for its layout, an absent design meaning unlimited when Lossless); `Global()` gives the exact maximum flow with its marginal cost curve, and its minimum cut with `outputs=OutputOptions(min_cut=True)`. `batch_capacity(graph, pairs, opts, per_pair_elig=None, workers=None)` evaluates pairs in pair order (the lowest failing @@ -193,9 +202,10 @@ it comes from `NGRAPH_CORE_BATCH_THREADS` and `NGRAPH_CORE_SENSITIVITY_THREADS`. ### Flow core -One native integer minimum-cost flow core serves Global routing, the MAX_FLOW kernel and the -evaluators: the largest flow up to a cap from a source set to a destination set over the eligible -edges, sent at the lowest total cost, starting from zero flow. For sensitivity it repairs the +One native integer minimum-cost flow core serves Global routing, the MAX_FLOW kernel, the +evaluators and T2's sizing (there with every cost taken as 0: a maximum flow): the largest flow +up to a cap from a source set to a destination set over the eligible edges, sent at the lowest +total cost, starting from zero flow. For sensitivity it repairs the baseline's solution for each removed edge instead of solving again. Its private Python entry `_netgraph_core._place_global_units(graph, view, sources, destinations, elig, cap)` returns the payload `{placed, cost_distribution, edge_flows, min_cut, potentials, counters}` for the @@ -224,6 +234,11 @@ r = policy.replace(ngc.to_units(12.0, q), design_demand=ngc.to_units(12.0, q)) print([t.status.name for t in r.program.tunnels]) # ['UP', 'NO_BANDWIDTH'] print(ngc.as_float(r.placed, q)) # 10.0 print(ngc.as_float(r.plan.reserved_total, q)) # 6.0 + +# T2: 16 tunnels of one common size, 11 on the 10-unit path and 5 on the 5-unit one. +te16 = ngc.FlowPolicyConfig(routing=ngc.Global(tunnels=ngc.Tunnels(16), prefer_headroom=True)) +r = ngc.FlowPolicy(ngc.FlowLedger(graph), 0, 3, te16).replace(float("inf")) +print(r.plan.fluid_share, r.plan.common_share, r.placed) # 40960/11 3723 59575 ``` ## Installation diff --git a/bindings/python/axes.cpp b/bindings/python/axes.cpp index 82210f0..3a228f5 100644 --- a/bindings/python/axes.cpp +++ b/bindings/python/axes.cpp @@ -67,7 +67,8 @@ void register_axes(py::module_& m) { "compared exactly as a fraction, 0 on an edge of capacity 0). A search without a residual reads\n" "the static capacity as the residual: RESIDUAL and CAPACITY read the capacity, HEADROOM 1 (0 on\n" "an edge of capacity 0). T1's CSPF reads its unreserved view U instead (RESIDUAL U, HEADROOM\n" - "U / capacity).") + "U / capacity). A search and T1 comparison only: it never enables a controller objective\n" + "(T2's is Global(prefer_headroom)) and never chooses weights (WeightBasis does).") .value("RESIDUAL", EdgePriority::Residual) .value("CAPACITY", EdgePriority::Capacity) .value("HEADROOM", EdgePriority::Headroom); diff --git a/bindings/python/evaluators.cpp b/bindings/python/evaluators.cpp index 901c6a0..dddf3d1 100644 --- a/bindings/python/evaluators.cpp +++ b/bindings/python/evaluators.cpp @@ -77,12 +77,13 @@ void register_evaluators(py::module_& m) { "the static Eligibility (None: all allowed), the DagCache (None: private per worker), the\n" "optional outputs of each result (sensitivity: of its baseline), design_demand (int units or\n" "float('inf'); None: absent): T1's design, always required and finite (`T1 capacity requires\n" - "design_demand`, `T1 requires a finite design demand`), rejected by every other model\n" - "(` does not accept design_demand`), and offered (int units or float('inf'); None:\n" - "absent), the offer of a T1 or Pinned LOSSY evaluation: required and finite there (` LOSSY capacity requires finite offered`); a LOSSLESS model rejects it (`\n" - "LOSSLESS capacity does not accept offered`), CostOnly LOSSY too (`CostOnly LOSSY capacity\n" - "uses first-hop injection`).") + "design_demand`, `T1 requires a finite design demand`); T2's design (None: unlimited when\n" + "LOSSLESS, the offered amount when LOSSY); rejected by every other model (` does not\n" + "accept design_demand`); and offered (int units or float('inf'); None: absent), the offer of a\n" + "T1, T2 or Pinned LOSSY evaluation: required and finite there (` LOSSY\n" + "capacity requires finite offered`; T2 takes a finite design instead when offered is None); a\n" + "LOSSLESS model rejects it (` LOSSLESS capacity does not accept offered`), CostOnly LOSSY\n" + "too (`CostOnly LOSSY capacity uses first-hop injection`).") .def(py::init([](const FlowPolicyConfig& config, const std::shared_ptr& elig, const std::shared_ptr& cache, const py::object& outputs, const py::object& design_demand, const py::object& offered) { @@ -100,10 +101,10 @@ void register_evaluators(py::module_& m) { "the OutputOptions of every result (sensitivity: of the baseline)") .def_property_readonly( "design_demand", [](const PyQueryOptions& o) { return amount_or_none(o.design_demand); }, - "T1's design volume (int units, or float('inf')); None: absent") + "the tunnel models' design volume (int units, or float('inf')); None: absent") .def_property_readonly( "offered", [](const PyQueryOptions& o) { return amount_or_none(o.offered); }, - "the offer of a T1 or Pinned LOSSY evaluation (int units, or float('inf')); None: absent"); + "the offer of a T1, T2 or Pinned LOSSY evaluation (int units, or float('inf')); None: absent"); py::class_(m, "SensitivityEntry", "One candidate edge: edge and loss (int units: the baseline minus the capacity without the\n" @@ -140,7 +141,9 @@ void register_evaluators(py::module_& m) { py::arg("graph"), py::arg("sources"), py::arg("destinations"), py::arg("opts"), "place(+inf) of a FlowPolicy with opts.config on a fresh ledger of the graph (Pinned LOSSY:\n" "place(opts.offered); T1: evaluate(+inf or opts.offered, design_demand=opts.design_demand), the\n" - "lossless bound of the tunnels set up for the design, or what they deliver of offered) -> PlacementResult.\n" + "lossless bound of the tunnels set up for the design, or what they deliver of offered; T2: the same\n" + "with an unlimited design when LOSSLESS and none is given, and the design as the offer when LOSSY\n" + "without offered) -> PlacementResult.\n" "The exact maximum flow is Global() (the optimized origin); with origin=EQUAL, the largest total whose\n" "round-robin source shares are all carried. A supplied frozen cache raises DagCacheMiss for an absent\n" "key, unchanged.\n" diff --git a/bindings/python/flow_policy.cpp b/bindings/python/flow_policy.cpp index 0d1d439..93e6da7 100644 --- a/bindings/python/flow_policy.cpp +++ b/bindings/python/flow_policy.cpp @@ -78,8 +78,10 @@ py::dict state_obj(const FlowPolicy& policy) { out["infinite"] = pe.epoch.infinite; out["placed_demand"] = policy.placed_demand(); py::dict cohorts; - // Per roster source its flows (T1 and Pinned: per program entry, keyed by its position). - const bool per_entry = std::holds_alternative(r) || std::holds_alternative(r); + // Per roster source its flows (T1, T2 and Pinned: per program entry, keyed by its position). + const auto* gl = std::get_if(&r); + const bool per_entry = std::holds_alternative(r) || std::holds_alternative(r) || + (gl != nullptr && gl->tunnels.has_value()); for (std::size_t i = 0; i < pe.epoch.cohorts.size(); ++i) { py::list flows; for (const auto& s : pe.epoch.cohorts[i]) { @@ -135,14 +137,15 @@ void register_flow_policy(py::module_& m) { "routing reads it, another model rejects it) belong to the ledger's graph; the policy keeps the\n" "ledger, elig and cache alive (a Pinned policy shares its program and black holes). The roster\n" "(the sources that statically reach an allowed destination, over allowed edges whatever their\n" - "capacity, T1's heads; Pinned: the program's heads that reach an allowed destination over its basis\n" + "capacity, the tunnel models' heads; Pinned: the program's heads that reach an allowed destination over its basis\n" "under elig) is fixed here. Everything is validated before the policy binds, in this order: the endpoints, the\n" "graph of elig, the program, the support, the cache and the black holes (`foreign Eligibility:\n" "built for another graph`, `program belongs to another graph`, `support belongs to another graph`,\n" "`foreign DagCache: bound to another graph`, `black_holes belongs to another graph`), the\n" - "configuration (FlowPolicyConfig's order), then the pooled single-path rule, T1's tunnel limit\n" - "(`tunnel limit exceeded: heads x tunnels > 1073741823`) and a Pinned program's endpoints\n" - "(`program endpoints do not match policy endpoints`).") + "configuration (FlowPolicyConfig's order), then the pooled single-path rule, T2's several-sources\n" + "rule (`T2 with several sources requires origin=EQUAL`), the tunnel limit (`tunnel limit exceeded:\n" + " heads x tunnels > 1073741823`) and a Pinned program's endpoints (`program endpoints do not\n" + "match policy endpoints`).") .def( "place", [](FlowPolicy& p, const py::object& volume, const py::object& outputs) { @@ -156,8 +159,8 @@ void register_flow_policy(py::module_& m) { return std::move(obj); }, py::arg("volume"), py::arg("outputs") = py::none(), - "Place volume (int units in [0, 2^62), or float('inf')) all or nothing -> PlacementResult. T1 raises\n" - "`T1 does not support incremental placement` (also for 0).\n" + "Place volume (int units in [0, 2^62), or float('inf')) all or nothing -> PlacementResult. T1 and T2\n" + "raise ` does not support incremental placement` (also for 0).\n" "Requests add up within an epoch (from construction, the last remove(), replace() or forward());\n" "after float('inf') any finite request is rejected, 0 included. A request of 0 places nothing and\n" "reports the current state. CostOnly prepares its program at the epoch's first positive request;\n" @@ -198,7 +201,7 @@ void register_flow_policy(py::module_& m) { py::arg("offer"), py::kw_only(), py::arg("design_demand") = py::none(), py::arg("outputs") = py::none(), "A full, independent computation and forwarding of offer (int units or float('inf')) from the\n" "policy's own released view (the residual plus its own carried load; T1 sets up on the unreserved\n" - "capacity with its own holds released), as replace would do it -> PlacementResult (the computed\n" + "capacity with its own holds released; T2 lays out on the released residual), as replace would do it -> PlacementResult (the computed\n" "program and plan, the flags replace would set, the outputs of the evaluated state); publishes\n" "nothing, creates no record, books no hold and leaves the epoch as it was. design_demand as for\n" "replace. LOSSY requires a finite offer.") @@ -217,10 +220,12 @@ void register_flow_policy(py::module_& m) { "PlacementResult: the old records and holds are retired (their ids never live again), new ones\n" "created, and a new epoch starts at this offer (delivery may go down: delivery_delta). CostOnly\n" "prepares its routes again; a controller re-solves; T1 sets its tunnels up again for the design and\n" - "books their holds; Pinned forwards its program. design_demand (T1 only: int units, or\n" - "float('inf'), which T1 rejects; None: equal to the offer): T1 needs a finite design (`T1 requires a\n" - "finite design demand`); every other model raises ` does not accept design_demand`. In this\n" - "order: the offer, LOSSY's finite offer, then the design demand (the model, its domain, finiteness).") + "books their holds; T2 lays its tunnels out again for the design (planned bandwidth, never held);\n" + "Pinned forwards its program. design_demand (T1 and T2: int units, or float('inf'); None: equal to\n" + "the offer): T1 needs a finite design (`T1 requires a finite design demand`), T2 takes an unlimited\n" + "one (its largest common size); every other model raises ` does not accept design_demand`.\n" + "In this order: the offer, LOSSY's finite offer, then the design demand (the model, its domain,\n" + "finiteness).") .def( "forward", [](FlowPolicy& p, const py::object& offer, const py::object& black_holes, const py::object& outputs) { @@ -235,8 +240,8 @@ void register_flow_policy(py::module_& m) { }, py::arg("offer"), py::kw_only(), py::arg("black_holes") = py::none(), py::arg("outputs") = py::none(), "Forward a full new offer over the installed program, with no route computation and no setup, on the\n" - "released view -> PlacementResult; a new epoch like replace, the program and T1's holds kept (no\n" - "flag; T1's records are recreated with the same reserved_edges). LOSSLESS admits the\n" + "released view -> PlacementResult; a new epoch like replace, the program, its plan and T1's holds\n" + "kept (no flag; T1's records are recreated with the same reserved_edges). LOSSLESS admits the\n" "program's lossless bound up to the offer; LOSSY sends the offer. black_holes (an Eligibility of the\n" "graph): the nodes and edges it excludes are black holes for this call (stale forwarding: traffic\n" "reaching one is dropped there; a black-holed source loses its share). In this order: Pinned raises\n" diff --git a/bindings/python/flow_record.cpp b/bindings/python/flow_record.cpp index 9d1bf61..7f779d3 100644 --- a/bindings/python/flow_record.cpp +++ b/bindings/python/flow_record.cpp @@ -26,7 +26,7 @@ void register_flow_record(py::module_& m) { py::class_( m, "FlowRecord", "One flow of a ledger, as a snapshot: flow_id (ledger uid, id), owner (the policy's id),\n" - "sources, destinations, admission, entry (a T1 or Pinned policy's program entry, else None), bundle\n" + "sources, destinations, admission, entry (a T1, T2 or Pinned policy's program entry, else None), bundle\n" "(PredDAG: the flow's route),\n" "route_cost (its minimum walk cost; None when empty), offered (Lossy only, else None),\n" "delivered, edges [(EdgeId, units)] (carried load) and drops [(EdgeId, units)] (cumulative,\n" @@ -40,7 +40,7 @@ void register_flow_record(py::module_& m) { .def_readonly("destinations", &FlowRecord::destinations, "the flow's destination node ids, ascending") .def_readonly("admission", &FlowRecord::admission, "LOSSLESS or LOSSY") .def_readonly("entry", &FlowRecord::entry, - "the program entry the record carries (T1 and Pinned: the entry identifier); None for the\n" + "the program entry the record carries (T1, T2 and Pinned: the entry identifier); None for the\n" "records kept per roster source (CostOnly, Global)") .def_property_readonly( "bundle", [](const FlowRecord& r) { return typed_shared(r.bundle); }, diff --git a/bindings/python/placement_result.cpp b/bindings/python/placement_result.cpp index 49da5d7..7b8cc09 100644 --- a/bindings/python/placement_result.cpp +++ b/bindings/python/placement_result.cpp @@ -1,5 +1,6 @@ // Termination, SourceFlow, TunnelFlow, TunnelPlan and PlacementResult: the outcome of one policy call. #include +#include #include #include @@ -34,9 +35,17 @@ py::list counter_pairs(const std::vector>& v) { return out; } +// fractions.Fraction, imported once when the module is registered: TunnelPlan.fluid_share only +// calls it (an import inside a getter can absorb a failed allocation and still succeed). +py::gil_safe_call_once_and_store& fraction_class() { + PYBIND11_CONSTINIT static py::gil_safe_call_once_and_store storage; + return storage; +} + } // namespace void register_placement_result(py::module_& m) { + fraction_class().call_once_and_store_result([] { return py::module_::import("fractions").attr("Fraction"); }); py::enum_(m, "Termination", "How a call ended, the first that applies: COMPLETE for a zero request; NO_ROUTE for a positive\n" "request with an empty roster (no eligible source statically reaches an allowed destination);\n" @@ -98,11 +107,16 @@ void register_placement_result(py::module_& m) { }); py::class_(m, "TunnelPlan", - "The tunnel models' setup summary (read-only): count (the tunnels per head), design_demand\n" - "(the design volume D in units), head_design ((head, RR(D, H, i)) for every roster head in\n" - "ascending NodeId) and reserved_total (T1's strict holds, counted once per up tunnel: the sum\n" - "of their requests). Exact ints.") - .def_readonly("count", &TunnelPlan::count, "the tunnels per head") + "The tunnel models' setup summary (read-only): count (the tunnels per head; T2 up to: the\n" + "chosen count), design_demand (the design volume D in units), head_design ((head, RR(D, H, i))\n" + "for every roster head in ascending NodeId) and reserved_total (T1's strict holds, counted once\n" + "per up tunnel: the sum of their requests; 0 for T2). T2 only (None for T1): live_heads,\n" + "insufficient_resolution (live heads exist but no whole unit per tunnel fits, U == 0: the\n" + "program has no tunnels), fluid_share (the exact fluid optimum s*, a Fraction), common_share\n" + "(U), planned_per_tunnel (u), planned_total (K*u), route_cost (the route-cost sum, can exceed\n" + "2^64), headroom_penalty (with prefer_headroom only) and forwarding_bound (the program's\n" + "lossless maximum; a dead head's share blocks it). Exact ints.") + .def_readonly("count", &TunnelPlan::count, "the tunnels per head (T2 up to: the chosen count)") .def_property_readonly( "design_demand", [](const TunnelPlan& p) { return inf_or(p.design_demand); }, "the design volume D in units; float('inf') when unlimited") @@ -111,6 +125,37 @@ void register_placement_result(py::module_& m) { "((head, share), ...): every roster head's share RR(D, H, i), ascending NodeId") .def_readonly("reserved_total", &TunnelPlan::reserved_total, "the strict holds of the up tunnels, each tunnel's request counted once") + .def_property_readonly( + "live_heads", + [](const TunnelPlan& p) -> py::object { + return p.live_heads.has_value() ? py::object(ints_tuple(*p.live_heads)) : py::object(py::none()); + }, + "T2: the heads that reach a destination over links with free capacity >= 1 (ascending); None for T1") + .def_readonly("insufficient_resolution", &TunnelPlan::insufficient_resolution, + "T2: True when live heads exist but no whole unit per tunnel fits (common_share 0, no tunnels)") + .def_property_readonly( + "fluid_share", + [](const TunnelPlan& p) -> py::object { + if (!p.fluid_share.has_value()) return py::none(); + return fraction_class().get_stored()(p.fluid_share->first, p.fluid_share->second); + }, + "T2: the exact fluid optimum s* (a fractions.Fraction; 0 without a live head); None for T1") + .def_readonly("common_share", &TunnelPlan::common_share, "T2: U, the largest common whole-unit size") + .def_readonly("planned_per_tunnel", &TunnelPlan::planned_per_tunnel, "T2: u, every tunnel's planned bandwidth") + .def_readonly("planned_total", &TunnelPlan::planned_total, "T2: K*u over the K tunnels") + .def_property_readonly( + "route_cost", + [](const TunnelPlan& p) -> py::object { return p.route_cost.has_value() ? counter_int(*p.route_cost) : py::none(); }, + "T2: the sum of cost * tunnel count over the links (exact; can exceed 2^64)") + .def_property_readonly( + "headroom_penalty", + [](const TunnelPlan& p) -> py::object { + return p.headroom_penalty.has_value() ? counter_int(*p.headroom_penalty) : py::none(); + }, + "T2 with prefer_headroom: the sum over the links' tunnel slots j of floor(2^32 (B - V + j*u) / B)\n" + "(B: static capacity; V: free capacity); None without prefer_headroom and for T1") + .def_readonly("forwarding_bound", &TunnelPlan::forwarding_bound, + "T2: F, the program's lossless maximum on the call's view (a dead head's share blocks it)") .def("__repr__", [](const TunnelPlan& p) { return "TunnelPlan(count=" + std::to_string(p.count) + ", reserved_total=" + std::to_string(p.reserved_total) + ")"; }); @@ -122,8 +167,8 @@ void register_placement_result(py::module_& m) { "request), delivery_delta (new minus old delivery, may be negative), call_drops [(EdgeId, units)],\n" "call_source_loss, termination, routes_changed, weights_changed and reservations_changed. The\n" "demand's state after the call (totals of the epoch): program (the installed ForwardingProgram;\n" - "evaluate: the computed one; None before the first preparation), plan (a TunnelPlan for T1; None for\n" - "every other model), requested (float('inf') after an infinite request), offered (LOSSY: the traffic sent; None when LOSSLESS), admitted, delivered, unadmitted\n" + "evaluate: the computed one; None before the first preparation), plan (a TunnelPlan for T1 and T2;\n" + "None for every other model), requested (float('inf') after an infinite request), offered (LOSSY: the traffic sent; None when LOSSLESS), admitted, delivered, unadmitted\n" "(LOSSLESS: requested - delivered, None after an infinite request; LOSSY: 0), source_loss, drops\n" "[(EdgeId, units)], by_source (one SourceFlow per normalized input source, ascending NodeId),\n" "by_tunnel (one TunnelFlow per program tunnel, ascending index; an alternative view, never added to\n" @@ -165,8 +210,8 @@ void register_placement_result(py::module_& m) { "preparation") .def_property_readonly( "plan", [](const PlacementResult& r) { return optional_of(r.plan); }, - "T1: the TunnelPlan of the program after the call; None for every other model (Pinned over a T1\n" - "program too)") + "T1 and T2: the TunnelPlan of the program after the call; None for every other model (Pinned over\n" + "a tunnel program too)") .def_property_readonly( "requested", [](const PlacementResult& r) -> py::object { @@ -200,7 +245,7 @@ void register_placement_result(py::module_& m) { .def_property_readonly( "total_cost", [](const PlacementResult& r) { return counter_or_none(r.total_cost); }, "controllers (Global, CostOnly MAX_FLOW): the exact sum of cost * flow over the policy's\n" - "allocation; None for the other models (T1, Pinned)") + "allocation; None for the other models (T1, T2, Pinned)") .def_readonly("cost_distribution", &PlacementResult::cost_distribution, "unrestricted Global with the optimized origin: the marginal cost curve [(cost, units)] of the policy's\n" "cumulative flow (a zero call reports it unchanged; None before the epoch's first positive\n" diff --git a/bindings/python/policy_config.cpp b/bindings/python/policy_config.cpp index 99af587..4926dfd 100644 --- a/bindings/python/policy_config.cpp +++ b/bindings/python/policy_config.cpp @@ -38,21 +38,23 @@ py::object routing_obj(const Routing& r) { void register_policy_config(py::module_& m) { py::class_( m, "FlowPolicyConfig", - "One demand's settings: routing (CostOnly, CapacityAware (T1), Global or Pinned), placement\n" - "(FlowPlacement: required for CostOnly; the other models take none), admission (LOSSLESS by\n" - "default; LOSSY for CostOnly EQUAL_BALANCED and WEIGHTED, T1 and Pinned), selection (PathSelection;\n" - "None: PathSelection(); Global and Pinned take none; T1 reads tie_break, priority and multi_edge and\n" - "rejects multipath=True), origin (Origin; None: the model's default, EQUAL for CostOnly EQUAL_BALANCED\n" - "and WEIGHTED and for T1, OPTIMIZED for CostOnly MAX_FLOW and Global; Pinned takes none, its program\n" - "has it), weights (WeightBasis, CostOnly WEIGHTED only; None: CAPACITY) and edge_weights (one integer\n" - "per edge, given exactly when weights=EXPLICIT; one array shared by every policy built from this\n" - "configuration). A field that does not apply to the model must stay None. The combination is checked\n" + "One demand's settings: routing (CostOnly, CapacityAware (T1), Global, Global(tunnels=...) (T2) or\n" + "Pinned), placement (FlowPlacement: required for CostOnly; the other models take none), admission\n" + "(LOSSLESS by default; LOSSY for CostOnly EQUAL_BALANCED and WEIGHTED, T1, T2 and Pinned), selection\n" + "(PathSelection; None: PathSelection(); Global, T2 included, and Pinned take none; T1 reads tie_break,\n" + "priority and multi_edge and rejects multipath=True), origin (Origin; None: the model's default, EQUAL for CostOnly EQUAL_BALANCED and WEIGHTED, T1 and T2,\n" + "OPTIMIZED for CostOnly MAX_FLOW and Global; T2 takes OPTIMIZED with one input source only, the same\n" + "calculation; Pinned takes none, its program has it), weights (WeightBasis, CostOnly WEIGHTED only;\n" + "None: CAPACITY) and edge_weights (one integer per edge, given exactly when weights=EXPLICIT; one\n" + "array shared by every policy built from this configuration). A field that does not apply to the model must stay None. The combination is checked\n" "when a policy or an evaluator uses the configuration (ValueError): the enumeration values, then the\n" - "model's row (T1: an up_to count first; then placement, origin, admission, selection, weights with\n" - "edge_weights), then a DagCache (only CostOnly reads one), then T1's parameters (the tunnel count in\n" - "[1, 10000], max_path_cost, min_unreserved_bandwidth), then edge_weights' length and entries, then the\n" - "roster and count rules (CostOnly with several input sources rejects multipath=False with\n" - "PREFER_HIGHER_PRIORITY; T1's roster heads times its tunnel count at most 2^30 - 1).") + "model's row (Global: a selection first, then support and tunnels together, then prefer_headroom\n" + "without tunnels; T1: an up_to count; then placement, origin,\n" + "admission, selection, weights with edge_weights), then a DagCache (only CostOnly reads one), then\n" + "the tunnel models' parameters (the tunnel count in [1, 10000]; T1's max_path_cost and\n" + "min_unreserved_bandwidth), then edge_weights' length and entries, then the roster and count rules\n" + "(CostOnly with several input sources rejects multipath=False with PREFER_HIGHER_PRIORITY; T2 with\n" + "several input sources rejects OPTIMIZED; roster heads times the tunnel count at most 2^30 - 1).") .def(py::init([](const py::object& routing, std::optional placement, Admission admission, std::optional selection, std::optional origin, std::optional weights, const py::object& edge_weights) { diff --git a/bindings/python/program.cpp b/bindings/python/program.cpp index 07df988..5d6c14f 100644 --- a/bindings/python/program.cpp +++ b/bindings/python/program.cpp @@ -34,11 +34,6 @@ py::typing::Union bundle_obj(const Route& r) { return py::reinterpret_steal>(out.release()); } -py::tuple ids_tuple(std::span v) { - py::tuple out(v.size()); - for (std::size_t i = 0; i < v.size(); ++i) out[i] = py::int_(v[i]); - return out; -} // A per-edge integer argument of from_routes read without narrowing (its type defects raise // here); its values are checked later, in the order of the call's validation. @@ -65,15 +60,16 @@ void register_program(py::module_& m) { .value("BLACKHOLED", TunnelStatus::Blackholed); py::class_(m, "Tunnel", - "One tunnel (a path entry) of a ForwardingProgram, read-only. index: the entry identifier (T1:\n" - "j*H + i for round j and roster position i; Global and CostOnly MAX_FLOW: the path's position in\n" - "the decomposition order; supplied routes: the route's position in the list), never a position in\n" - "program.tunnels; head; local_index: its position among the head's entries of both kinds;\n" + "One tunnel (a path entry) of a ForwardingProgram, read-only. index: the entry identifier (T1 and\n" + "T2: j*H + i for round j and roster position i, T2's dead heads leaving holes; Global and CostOnly\n" + "MAX_FLOW: the path's position in the decomposition order; supplied routes: the route's position in\n" + "the list), never a position in program.tunnels; head; local_index: its position among the head's entries of both kinds;\n" "destination: where its path ends; edges: its EdgeIds in path order; route_cost: the sum of their\n" "costs (all three None for a tunnel that is down); status: UP, NO_BANDWIDTH or COST_CEILING;\n" "requested and reserved: T1's strict bandwidth (its request, and what it holds on every link of\n" - "its path: the request when UP, else 0; 0 for the other models); weight: its integer share among\n" - "the head's entries (T1: 1 up, 0 down; a controller path: its solved amount).") + "its path: the request when UP, else 0; 0 for the other models); planned: T2's planned bandwidth\n" + "u (metadata, never held; 0 for the other models); weight: its integer share among the head's\n" + "entries (T1: 1 up, 0 down; T2: 1; a controller path: its solved amount).") .def_readonly("index", &Tunnel::index) .def_readonly("head", &Tunnel::head) .def_readonly("local_index", &Tunnel::local_index) @@ -88,6 +84,7 @@ void register_program(py::module_& m) { .def_property_readonly("status", [](const Tunnel& t) { return typed_object(t.status); }) .def_readonly("requested", &Tunnel::requested) .def_readonly("reserved", &Tunnel::reserved) + .def_readonly("planned", &Tunnel::planned) .def_readonly("weight", &Tunnel::weight) .def("__repr__", [](const Tunnel& t) { return "Tunnel(index=" + std::to_string(t.index) + ", head=" + std::to_string(t.head) + @@ -131,12 +128,12 @@ void register_program(py::module_& m) { "captured source supplies ((source, weight) for every roster source, ascending) of the optimized\n" "controllers, None for equal sources (round robin over the roster). Each head splits its share by\n" "highest averages over its entries' weights; identical routes are never merged. CostOnly and Global\n" - "produce one (FlowPolicy.program, PlacementResult.program), and so does T1 (its tunnels); from_routes builds\n" - "one from given routes; Pinned forwards one. No public constructor.") + "produce one (FlowPolicy.program, PlacementResult.program), and so do T1 and T2 (their tunnels);\n" + "from_routes builds one from given routes; Pinned forwards one. No public constructor.") .def_property_readonly( - "sources", [](const ForwardingProgram& p) { return ids_tuple(p.sources()); }, "the source set, ascending") + "sources", [](const ForwardingProgram& p) { return ints_tuple(p.sources()); }, "the source set, ascending") .def_property_readonly( - "destinations", [](const ForwardingProgram& p) { return ids_tuple(p.destinations()); }, + "destinations", [](const ForwardingProgram& p) { return ints_tuple(p.destinations()); }, "the destination set, ascending") .def_property_readonly( "tunnels", diff --git a/bindings/python/routing.cpp b/bindings/python/routing.cpp index 6784979..832cd0c 100644 --- a/bindings/python/routing.cpp +++ b/bindings/python/routing.cpp @@ -190,35 +190,69 @@ void register_routing(py::module_& m) { }); py::class_(m, "Global", - "Routing: an ideal central controller that sees the whole network. Every positive call re-solves\n" - "the minimum-cost flow of what the policy already delivers plus this call's request\n" - "(placed_demand() + volume; what an earlier call could not place is not requested again) over\n" - "the eligible graph, or exactly over `support` (a PredDAG of the policy's graph, trimmed to the\n" + "Routing: an ideal central controller that sees the whole network (with `tunnels`: T2, below).\n" + "Every positive call re-solves the minimum-cost flow of what the policy already delivers plus this\n" + "call's request (placed_demand() + volume; what an earlier call could not place is not requested\n" + "again) over the eligible graph, or exactly over `support` (a PredDAG of the policy's graph, trimmed to the\n" "walks from the sources to the allowed destinations under the Eligibility; every other edge\n" "carries nothing), on the free capacity plus its own allocation (it may move its own traffic,\n" "never another's). It takes no placement and no selection. Origin OPTIMIZED (the default): the\n" "controller chooses how much enters at each source; EQUAL: every roster source sends its\n" "round-robin share of the largest total whose shares all fit. Its program is the solve cut into\n" "paths per source, each a tunnel weighted by its amount. A positive call on a network beyond the\n" - "flow core's int32 numbering raises ValueError (see FlowPolicy.place).") - .def(py::init([](const py::object& support) { + "flow core's int32 numbering raises ValueError (see FlowPolicy.place).\n" + "T2, Global(tunnels=Tunnels(N)) (support must be None; no selection either): a controller (like\n" + "a PCE) lays out, for every live head (one reaching a destination over links with free capacity\n" + ">= 1; the other heads are dead and lose their share), N single-path tunnels with one common\n" + "whole-unit planned bandwidth: first as large as possible (U), then for a finite design no larger\n" + "than needed (u), then the cheapest routes, then with prefer_headroom=True the routes that leave\n" + "the most spare capacity, then one fixed unit-by-unit tie. Tunnels(L, up_to=True): the smallest\n" + "common count k <= L whose program carries the design (else the best, then the smallest).\n" + "Traffic splits equally over the heads and over each head's tunnels; planned bandwidth is never\n" + "held.") + .def(py::init([](const py::object& support, const py::object& tunnels, bool prefer_headroom) { Global gl; + gl.prefer_headroom = prefer_headroom; if (!support.is_none()) { if (!py::isinstance(support)) throw py::type_error("Global support must be a PredDAG or None"); gl.support = support.cast>(); } + if (!tunnels.is_none()) { + if (!py::isinstance(tunnels)) throw py::type_error("Global tunnels must be a Tunnels or None"); + gl.tunnels = tunnels.cast(); + } return gl; }), - py::kw_only(), py::arg("support") = py::none(), - "Global(*, support=None): support a PredDAG of the policy's graph (checked when a policy is built\n" - "with it: `support belongs to another graph`) or None for every eligible edge") + py::kw_only(), py::arg("support") = py::none(), py::arg("tunnels") = py::none(), + py::arg("prefer_headroom") = false, + "Global(*, support=None, tunnels=None, prefer_headroom=False): support a PredDAG of the policy's\n" + "graph (checked when a policy is built with it: `support belongs to another graph`) or None for\n" + "every eligible edge; tunnels a Tunnels (T2; checked when a policy is built with it: the count in\n" + "[1, 10000], and `Global support and tunnels are mutually exclusive`) or None; prefer_headroom\n" + "(T2 only; True without tunnels raises `prefer_headroom requires tunnels` when a policy is built\n" + "with it): the headroom penalty as T2's objective after route cost") .def_property_readonly( "support", [](const Global& gl) { return optional_shared(gl.support); }, "the supplied support (a PredDAG), or None") - .def("__repr__", [](const Global& gl) { return std::string(gl.support ? "Global(support=...)" : "Global()"); }); + .def_property_readonly( + "tunnels", [](const Global& gl) { return optional_of(gl.tunnels); }, + "T2's tunnel count per head (a Tunnels), or None") + .def_readonly("prefer_headroom", &Global::prefer_headroom, + "True: T2 minimizes the headroom penalty after route cost (T2 only)") + .def("__repr__", [](const Global& gl) { + // Every field that is set, the invalid support-and-tunnels combination included. + std::string out; + const auto add = [&](const std::string& part) { out += (out.empty() ? "" : ", ") + part; }; + if (gl.support) add("support=..."); + if (gl.tunnels.has_value()) { + add("tunnels=Tunnels(" + std::to_string(gl.tunnels->count) + (gl.tunnels->up_to ? ", up_to=True)" : ")")); + } + if (gl.prefer_headroom) add("prefer_headroom=True"); + return "Global(" + out + ")"; + }); py::class_(m, "Pinned", "Routing: forwarding over a given program, computing nothing (the program's endpoints must be\n" diff --git a/bindings/python/values.hpp b/bindings/python/values.hpp index dedfba0..98cc89e 100644 --- a/bindings/python/values.hpp +++ b/bindings/python/values.hpp @@ -50,10 +50,30 @@ inline int resolution_exponent(double resolution) { return std::ilogb(resolution); } +// A new reference from the C API, or the pending Python error raised (pybind11's own int and +// tuple constructors fail on a failed allocation with an unchecked internal error instead). +inline py::object checked(PyObject* o) { + if (o == nullptr) throw py::error_already_set(); + return py::reinterpret_steal(o); +} + +// hi * 2^64 + lo as an exact Python int. inline py::object counter_int(const Counter128& c) { - py::int_ hi(c.hi); - py::int_ lo(c.lo); - return hi.attr("__lshift__")(py::int_(64)).attr("__or__")(lo); + py::object lo = checked(PyLong_FromUnsignedLongLong(c.lo)); + if (c.hi == 0) return lo; + py::object hi = checked(PyLong_FromUnsignedLongLong(c.hi)); + py::object shift = checked(PyLong_FromLong(64)); + py::object high = checked(PyNumber_Lshift(hi.ptr(), shift.ptr())); + return checked(PyNumber_Or(high.ptr(), lo.ptr())); +} + +// Integers as a tuple of Python ints. +inline py::tuple ints_tuple(std::span v) { + auto out = py::reinterpret_steal(checked(PyTuple_New(static_cast(v.size()))).release()); + for (std::size_t i = 0; i < v.size(); ++i) { + PyTuple_SET_ITEM(out.ptr(), static_cast(i), checked(PyLong_FromLong(v[i])).release().ptr()); + } + return out; } inline py::array_t int64_array(const std::vector& v) { diff --git a/dev/perf/README.md b/dev/perf/README.md index cc9720c..cd92d4f 100644 --- a/dev/perf/README.md +++ b/dev/perf/README.md @@ -321,6 +321,7 @@ failed. | `global` | `global.equal.random` | equal-origin Global capacity, 2 demands of 4 sources | | `program` | `program.forward.global`, `program.replay.lossy`, `program.stale.lossy`, `program.replace.costonly` | forwarding programs: a Global program forwarded, replayed under failures (Lossy), stale under black holes, CostOnly re-prepared by replace | | `t1` | `t1.setup.fabric`, `t1.forward.fabric` | T1 with 16 tunnels per head, 12 demands on one ledger: the setup with its holds; the installed programs forwarded under 32 offers | +| `t2` | `t2.exact16.headroom`, `t2.exact16.cost`, `t2.upto256.headroom`, `t2.size.mesh` | T2 on the same fabric and demands: 16 tunnels per head with and without `prefer_headroom`, up to 256 with it; 16 tunnels for 10 heads on a 500-node mesh (2000 links, 5/8 to 8/8 free), sizing-dominated | | `msd` | `msd.loop` | the maximum-supported-demand bracket and bisection with a per-series DAG cache | | `ksp` | `ksp.fabric3_k8` | k = 8 shortest paths for 8 pairs | | `cache` | `cache.cold`, `cache.warm` | DagCache series from a cleared / prepopulated cache | diff --git a/dev/perf/aba_api.hpp b/dev/perf/aba_api.hpp index 4ea6d39..4a8607a 100644 --- a/dev/perf/aba_api.hpp +++ b/dev/perf/aba_api.hpp @@ -630,6 +630,58 @@ inline std::uint64_t t1_forward(T1Fabric& f, const std::vector& offers) return d.h; } +// T2: a Global(tunnels=Tunnels(count, up_to), prefer_headroom=headroom) configuration, Lossless. +inline nc::FlowPolicyConfig t2_config(int count, bool up_to, bool headroom) { + return {.routing = nc::Global {.tunnels = nc::Tunnels {count, up_to}, .prefer_headroom = headroom}}; +} + +// The digest of a T2 call: its delivery, the chosen count, U, u, F, the route cost and the +// tunnels. +inline void add_t2(Digest& d, const nc::PlacementResult& r) { + d.add_i(r.placed); + d.add_i(r.plan->count); + d.add_i(*r.plan->common_share); + d.add_i(*r.plan->planned_per_tunnel); + d.add_i(*r.plan->forwarding_bound); + d.add(r.plan->route_cost->lo); + d.add_i(static_cast(r.program->tunnels().size())); +} + +// t2.exact16.*, t2.upto256.headroom: one T2 policy per pair on one shared ledger, in pair order, +// each replace(to_units(volume), design = the same) on the residual the earlier pairs left: live +// heads, sizing (the quota flows), s*, the canonical augmentation (with Phi under Headroom), the +// cut into tunnels, the lossless bound and the forwarding. +inline std::uint64_t t2_fabric(const Graph& g, const std::vector>& pairs, double volume, int count, + bool up_to, bool headroom) { + nc::FlowLedger fg(g.g); + const auto cfg = t2_config(count, up_to, headroom); + std::vector> policies; + Digest d; + const auto units = nc::to_units(volume, kResolution); + for (auto [s, t] : pairs) { + const nc::NodeId sv[1] = {s}; + const nc::NodeId tv[1] = {t}; + policies.push_back(std::make_unique(fg, sv, tv, cfg)); + add_t2(d, policies.back()->replace(units, units)); + } + return d.h; +} + +// t2.size.mesh: one T2 policy of the heads to the destination on a ledger whose residual is +// `free` (input order, units), replace(+inf): an unlimited design, u = U. +inline std::uint64_t t2_mesh(const Graph& g, const std::vector& free, const std::vector& heads, + int destination, int count, bool up_to, bool headroom) { + std::vector residual(free.size()); + for (std::size_t i = 0; i < free.size(); ++i) residual[static_cast(g.edge_of_input[i])] = free[i]; + nc::FlowLedger fg(g.g, residual); + std::vector sv(heads.begin(), heads.end()); + const nc::NodeId tv[1] = {destination}; + nc::FlowPolicy p(fg, sv, tv, t2_config(count, up_to, headroom)); + Digest d; + add_t2(d, p.replace(std::nullopt)); + return d.h; +} + // One series of CostOnly EqualBalanced placements with one DagCache per series (the support of // each destination set under the series Eligibility; NetGraph's hop-by-hop engine). struct CostOnlySeries { diff --git a/dev/perf/aba_rows.hpp b/dev/perf/aba_rows.hpp index 8835426..f0b7474 100644 --- a/dev/perf/aba_rows.hpp +++ b/dev/perf/aba_rows.hpp @@ -121,6 +121,42 @@ inline Arrays gen_random(int n, int degree, unsigned seed, std::int64_t max_cost return a; } +// T2's mesh: a bidirectional ring over n nodes plus directed chords up to 4n distinct links in +// ascending (u, v), full capacities of 2^14, 2^15, 2^16 or 2^17 units (physical at kResolution), +// each with 5/8 to 8/8 of it free, costs 1..10; heads 0..h-1 toward node n - 1. `free` is in input order, in units. +struct T2Mesh { + Arrays a; + std::vector free; + std::vector heads; +}; +inline T2Mesh gen_t2_mesh(int n, int h, unsigned seed) { + std::mt19937 rng(seed); + std::set> links; + for (int i = 0; i < n; ++i) { + links.insert({i, (i + 1) % n}); + links.insert({(i + 1) % n, i}); + } + while (static_cast(links.size()) < 4 * n) { + const int u = int(rng() % unsigned(n)); // one draw per statement: the draw order is fixed + const int v = int(rng() % unsigned(n)); + if (u != v) links.insert({u, v}); + } + T2Mesh m; + m.a.n = n; + for (auto [u, v] : links) { + const std::int64_t full = std::int64_t {1} << (14 + rng() % 4); + const std::int64_t eighths = 5 + std::int64_t(rng() % 4); + const std::int64_t cost = 1 + std::int64_t(rng() % 10); + m.a.src.push_back(u); + m.a.dst.push_back(v); + m.a.cost.push_back(cost); + m.a.cap.push_back(double(full) * abaapi::kResolution); + m.free.push_back(full * eighths / 8); + } + for (int i = 0; i < h; ++i) m.heads.push_back(i); + return m; +} + // Bidirectional link: input edges 2l (u -> v) and 2l + 1 (v -> u), same cost and capacity. inline void add_link(Arrays& a, int u, int v, std::int64_t cost, double cap) { a.src.push_back(u); a.dst.push_back(v); a.cost.push_back(cost); a.cap.push_back(cap); @@ -976,6 +1012,35 @@ inline std::vector rows() { for (int i = 0; i < 32; ++i) offers.push_back(40.0 + 10.0 * i); return Iter([g, fabric, offers] { return abaapi::t1_forward(*fabric, offers); }); }}); + // ---- T2 tunnels (the same fabric and demands; and a mesh: a bidirectional ring plus directed + // chords, 4n links, full capacities 2^14..2^17 units, 5/8 to 8/8 of each free, costs 1..10, heads + // 0..h-1, destination n-1) + auto t2_row = [=](int count, bool up_to, bool headroom) { + auto f = gen_fabric3(4, 8, 4, 8, 21); + auto g = std::make_shared(abaapi::build(f.a)); + return Iter([g, pairs = t1_pairs(f), count, up_to, headroom] { + return abaapi::t2_fabric(*g, pairs, 120.0, count, up_to, headroom); + }); + }; + r.push_back({"t2.exact16.headroom", "t2", + "T2 Global(tunnels=Tunnels(16), prefer_headroom=True), replace(120, design 120) per demand, fabric 4 pods, 12 demands " + "on one ledger: sizing, the canonical augmentation with Phi, the lossless bound, Lossless forwarding", + [=] { return t2_row(16, false, true); }}); + r.push_back({"t2.exact16.cost", "t2", + "the same without prefer_headroom: sizing and the canonical augmentation without Phi", + [=] { return t2_row(16, false, false); }}); + r.push_back({"t2.upto256.headroom", "t2", + "T2 Global(tunnels=Tunnels(256, up_to=True), prefer_headroom=True), the same demands: count selection over 1..256 with " + "the proved bounds, then the chosen count's layout", + [=] { return t2_row(256, true, true); }}); + r.push_back({"t2.size.mesh", "t2", + "T2 Tunnels(16) without prefer_headroom, replace(+inf) of 10 heads on a 500-node mesh (2000 links, 5/8 to 8/8 free): " + "sizing-dominated", + [] { + auto m = gen_t2_mesh(500, 10, 1744); + auto g = std::make_shared(abaapi::build(m.a)); + return Iter([g, m] { return abaapi::t2_mesh(*g, m.free, m.heads, 499, 16, false, false); }); + }}); // ---- MSD loop r.push_back({"msd.loop", "msd", "MSD bracket and bisection over CostOnly EB placement with a per-series DAG cache, Clos 32x16, 64 demands", diff --git a/dev/perf/test_tool.py b/dev/perf/test_tool.py index 7602d90..cb55d03 100644 --- a/dev/perf/test_tool.py +++ b/dev/perf/test_tool.py @@ -3121,7 +3121,7 @@ def test_list(self): self.assertEqual(proc.returncode, 0, proc.stderr) rows = aba.row_list(proc.stdout.encode(), "aba-list") real = {k: v for k, v in rows.items() if not k.startswith("test.")} - self.assertEqual(len(real), 59) + self.assertEqual(len(real), 63) sums = sha256sums(HERE / "queries") lists = {} for name in sums: @@ -3155,7 +3155,7 @@ def test_blocks(self): real = [row for row in listed if not row.startswith("test.")] with concurrent.futures.ThreadPoolExecutor(os.cpu_count() or 1) as pool: procs = list(pool.map(lambda row: self.harness("aba-run", row, "1"), real)) - self.assertEqual(len(procs), 59) + self.assertEqual(len(procs), 63) for row, proc in zip(real, procs, strict=True): self.assertEqual(proc.returncode, 0, (row, proc.stderr)) self.assertEqual( diff --git a/dev/run-checks.sh b/dev/run-checks.sh index 2adf2b8..33fc1b6 100755 --- a/dev/run-checks.sh +++ b/dev/run-checks.sh @@ -102,6 +102,16 @@ tests/py/test_tunnels_t1.py::test_t1_getters_survive_python_allocation_failures[ tests/py/test_tunnels_t1.py::test_t1_results_survive_python_allocation_failures[evaluate] tests/py/test_tunnels_t1.py::test_t1_results_survive_python_allocation_failures[forward] tests/py/test_tunnels_t1.py::test_t1_results_survive_python_allocation_failures[replace] +tests/py/test_tunnels_t2.py::test_t2_getters_survive_python_allocation_failures[gl.tunnels] +tests/py/test_tunnels_t2.py::test_t2_getters_survive_python_allocation_failures[r.plan.fluid_share] +tests/py/test_tunnels_t2.py::test_t2_getters_survive_python_allocation_failures[r.plan.headroom_penalty] +tests/py/test_tunnels_t2.py::test_t2_getters_survive_python_allocation_failures[r.plan.live_heads] +tests/py/test_tunnels_t2.py::test_t2_getters_survive_python_allocation_failures[r.plan.route_cost] +tests/py/test_tunnels_t2.py::test_t2_getters_survive_python_allocation_failures[r.plan] +tests/py/test_tunnels_t2.py::test_t2_getters_survive_python_allocation_failures[r.program.tunnels] +tests/py/test_tunnels_t2.py::test_t2_results_survive_python_allocation_failures[evaluate] +tests/py/test_tunnels_t2.py::test_t2_results_survive_python_allocation_failures[forward] +tests/py/test_tunnels_t2.py::test_t2_results_survive_python_allocation_failures[replace] " EXPECTED_OFF_SKIPPED_PREFIX='tests/py/test_flow_policy_fixtures.py::test_fixture[' diff --git a/dev/stubs/generate.py b/dev/stubs/generate.py index afa9b8b..0d1e3d1 100644 --- a/dev/stubs/generate.py +++ b/dev/stubs/generate.py @@ -52,6 +52,7 @@ IMPORTS = """from __future__ import annotations import collections.abc +import fractions import typing import numpy diff --git a/dev/stubs/overrides.pyi b/dev/stubs/overrides.pyi index 3417d40..5df30d6 100644 --- a/dev/stubs/overrides.pyi +++ b/dev/stubs/overrides.pyi @@ -29,6 +29,7 @@ # ruff: noqa: F821 import collections.abc +import fractions import typing import numpy @@ -297,9 +298,15 @@ class ForwardingProgram: def tunnels(self) -> tuple[Tunnel, ...]: ... class Global: - # reason: support is a PredDAG or None - # generated: def __init__(self, *, support: typing.Any = None) -> None: - def __init__(self, *, support: PredDAG | None = None) -> None: ... + # reason: support is a PredDAG or None; tunnels (T2) a Tunnels or None + # generated: def __init__(self, *, support: typing.Any = None, tunnels: typing.Any = None, prefer_headroom: bool = False) -> None: + def __init__( + self, + *, + support: PredDAG | None = None, + tunnels: Tunnels | None = None, + prefer_headroom: bool = False, + ) -> None: ... class Pinned: # reason: black_holes may be None @@ -429,17 +436,33 @@ class PlacementResult: def reservation_edge_flows(self) -> numpy.typing.NDArray[numpy.int64] | None: ... class TunnelPlan: - # reason: no constructor: the plan of a T1 result + # reason: no constructor: the plan of a T1 or T2 result # generated: (none) def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... # reason: an int, or float('inf') for an unlimited design # generated: def design_demand(self) -> typing.Any: @property def design_demand(self) -> int | float: ... + # reason: an exact Fraction (T2), or None for T1 + # generated: def fluid_share(self) -> typing.Any: + @property + def fluid_share(self) -> fractions.Fraction | None: ... # reason: (head, share) pairs # generated: def head_design(self) -> tuple: @property def head_design(self) -> tuple[tuple[int, int], ...]: ... + # reason: an exact int, possibly above 2^64 (T2 with prefer_headroom), or None + # generated: def headroom_penalty(self) -> typing.Any: + @property + def headroom_penalty(self) -> int | None: ... + # reason: the live heads, ascending (T2), or None for T1 + # generated: def live_heads(self) -> typing.Any: + @property + def live_heads(self) -> tuple[int, ...] | None: ... + # reason: an exact int, possibly above 2^64 (T2), or None for T1 + # generated: def route_cost(self) -> typing.Any: + @property + def route_cost(self) -> int | None: ... class DagCacheStats: # reason: no constructor: returned by DagCache.stats diff --git a/docs/semantics.md b/docs/semantics.md index 13b02be..99dfc9e 100644 --- a/docs/semantics.md +++ b/docs/semantics.md @@ -57,7 +57,7 @@ Contents: time to the member with the largest `w[i] / (assigned[i] + 1)`, ties to the earlier member; a zero weight gets nothing. - **Program.** A `ForwardingProgram`: the routes and integer weights of one demand and the rule - that injects its traffic at the sources. CostOnly, Global and T1 (`CapacityAware`) produce one; + that injects its traffic at the sources. CostOnly, Global, T1 (`CapacityAware`) and T2 produce one; `Pinned` forwards a given one without computing anything ([section 7](#forwarding-programs)). - **Entry.** One route of a program: a **tunnel** (one path, one edge per hop) or a **split route** (a DAG whose routers split by fixed rules). Each entry has an integer identifier, its @@ -66,11 +66,14 @@ Contents: - **T1.** `CapacityAware(Tunnels(N))`: every head sets up its own N strict-bandwidth tunnels by CSPF (constrained shortest path first: a shortest path among the links with enough unreserved bandwidth), with no controller ([section 7](#t1-tunnels-set-up-by-their-heads)). +- **T2.** `Global(tunnels=Tunnels(N))`: a central controller lays out N single-path tunnels for + every live head with one common whole-unit planned bandwidth + ([section 7](#t2-the-controllers-equal-tunnels)). - **Hold.** Bandwidth an up T1 tunnel reserves on every link of its path. Holds are the ledger's second projection (`reserved`, `unreserved`), kept apart from the carried traffic (`allocated`, `residual`); they never police or queue traffic. -- **Design demand.** The volume T1 sizes its tunnels for (`design_demand`), separately from the - offer it forwards. +- **Design demand.** The volume T1 and T2 size their tunnels for (`design_demand`), separately + from the offer they forward. T2's planned bandwidth is metadata, never a hold. - **Split context.** The traffic a split route's routers split: only that route's own share. A `CostOnly` program is one context pooled over its sources; every supplied split route is its own. @@ -315,8 +318,8 @@ supplied residual filters edges by capacity. - **`PathSelection(tie_break=DETERMINISTIC, priority=CAPACITY, multipath=None, multi_edge=True)`.** Every field has its default. - `multipath=None` (the default) is the model's natural shape: the DAG of every equal-cost walk - for the searches and `CostOnly`, one path for T1. `True` is the DAG (T1 rejects it), `False` - the one canonical path. + for the searches and `CostOnly`, one path for T1 (T2 takes no selection). `True` is the DAG + (T1 rejects it), `False` the one canonical path. - `multi_edge=True` keeps every eligible parallel member of a `(u, v)` pair; `False` keeps one per pair (the member rule below). - `tie_break`: `DETERMINISTIC` never compares priority values; ties fall to the lowest @@ -499,7 +502,7 @@ drops on each edge what does not fit. budget and `T_max`, the largest amount whose allocation fits every member edge (found by exact binary search). At `T_max` at least one member edge is exactly full; there is no safety margin. Because the split rules are monotone, raising `T` never takes units away from an edge. -- **Lossy forwarding** (`CostOnly` with `WEIGHTED` or `EQUAL_BALANCED`, T1 and `Pinned`). Each +- **Lossy forwarding** (`CostOnly` with `WEIGHTED` or `EQUAL_BALANCED`, T1, T2 and `Pinned`). Each call's offer is split at every node by the kernel's rule; each edge carries the smaller of what reaches it and its residual, and the rest is dropped on that edge (where several routes of one program meet on an edge, [the loss rule](#losses-inside-one-program) divides what it carries). The delivery is @@ -596,13 +599,13 @@ records. `B - L`; `reserved()` S is the exact sum of every record's `reserved_edges` and `unreserved()` is `R0 - S`; all four are `int64[E]` copies. Each projection keeps its own bound on every edge (`0 <= L <= B`, `0 <= S <= R0`); L and S are never added, and `max(L, S)` is no occupancy. T1's - setup reads `unreserved` (other owners' holds included); every forwarding and every `Global` - solve reads `residual`. `capacity_units()` is the graph's view. `graph()` returns the graph. + setup reads `unreserved` (other owners' holds included); every forwarding, every `Global` solve + and T2's layout read `residual` (a T2 plan books no hold). `capacity_units()` is the graph's view. `graph()` returns the graph. - **Records.** `records()` lists the live records (of bound policies and orphans) as snapshots in FlowId order; `record(flow_id)` reads one. A FlowId is the pair `(ledger uid, id)`; ids are never reused. A FlowId of another ledger, or a retired or unknown id, raises `ValueError`. - **`FlowRecord`** fields: `flow_id`; `owner` (the policy's id); `sources` and `destinations` - (node sets); `admission`; `entry` (a T1 or `Pinned` record: the identifier of the program entry + (node sets); `admission`; `entry` (a T1, T2 or `Pinned` record: the identifier of the program entry it carries; `None` for the records kept per roster source); `bundle` (the flow's route as a `PredDAG`); `route_cost` (the cheapest walk of the bundle, cached; `None` for an empty bundle); `offered` @@ -649,8 +652,8 @@ print(ngc.FlowPolicy(ledger, 0, 1, config(ngc.CostOnly())).place(10).placed) **In plain words.** A `FlowPolicy` is the routing model of one demand between a set of sources and a set of destinations. `place(volume)` asks it to carry more; it routes and fills its flows, commits everything at once, and reports how much was placed, what stopped it, where traffic was -lost and how much each source carried (T1, whose tunnels are sized for a design volume, takes -whole offers only). `evaluate`, `replace` and `forward` ask +lost and how much each source carried (T1 and T2, whose tunnels are sized for a design volume, +take whole offers only). `evaluate`, `replace` and `forward` ask for a whole new offer instead (only computed, published, or forwarded over the routes already installed). `remove()` takes all of its traffic back out. A demand with several sources is one demand, not several: how its traffic enters at the sources is its **origin**, and where the routes of its sources meet, their traffic is added @@ -665,7 +668,7 @@ origin=None, weights=None, edge_weights=None)` takes keywords only. The routing | --- | --- | --- | | `CostOnly()` | IGP forwarding (as OSPF or IS-IS routers do): static shortest paths, never refreshed; with `MAX_FLOW`, a controller restricted to those paths | none | | `CapacityAware(tunnels, *, max_path_cost=None, min_unreserved_bandwidth=0)` (T1) | distributed strict-bandwidth tunnels, as RSVP-TE head ends set them up: every head runs CSPF for its own tunnels, no controller ([T1](#t1-tunnels-set-up-by-their-heads)) | `tunnels`: a `Tunnels(count)` (`count` tunnels per head); `max_path_cost`: `None`, `Absolute(c)` or `Stretch(f)`; `min_unreserved_bandwidth`: a search minimum in units | -| `Global(*, support=None)` | an ideal controller that sees the whole network, or only the edges of `support` | `support`: a `PredDAG` of the graph, or `None` for every eligible edge | +| `Global(*, support=None, tunnels=None, prefer_headroom=False)` | an ideal controller that sees the whole network, or only the edges of `support`; with `tunnels`, T2: the controller lays out equal tunnels for every head ([T2](#t2-the-controllers-equal-tunnels)) | `support`: a `PredDAG` of the graph, or `None` for every eligible edge; `tunnels`: a `Tunnels(count)` or `Tunnels(L, up_to=True)` (T2), or `None`; `prefer_headroom`: T2's headroom objective after route cost (T2 only) | | `Pinned(program, *, black_holes=None)` | forwarding over a given program, computing nothing | `program`: a `ForwardingProgram`; `black_holes`: an `Eligibility` whose excluded nodes and edges are black holes, or `None` | Each routing accepts exactly the combinations of this table; any other raises `ValueError` before @@ -678,13 +681,20 @@ any work, a request of 0 included. A field marked "none" must be left `None`: | `CostOnly` | `MAX_FLOW` | `OPTIMIZED` / both | `LOSSLESS` | all four fields | none | | `Global` | none | `OPTIMIZED` / both | `LOSSLESS` | none | none | | `CapacityAware` (T1) | none | `EQUAL` / `EQUAL` | `LOSSLESS`, `LOSSY` | `tie_break`, `priority`, `multi_edge` (`multipath=True` rejected) | none | +| `Global(tunnels=...)` (T2) | none | `EQUAL` / `EQUAL`; `OPTIMIZED` with one source | `LOSSLESS`, `LOSSY` | none (`prefer_headroom` on the routing) | none | | `Pinned` | none | none (the program has its injection) | `LOSSLESS`, `LOSSY` | none | none | `selection=None` means `PathSelection()` (`DETERMINISTIC`, `CAPACITY`, `multipath=None`, `multi_edge=True`) for the routings that read it, `origin=None` the routing's default and `weights=None` `CAPACITY` for `CostOnly` `WEIGHTED`. A policy's `config()` returns the -configuration with these filled in (`selection` stays `None` for `Global` and `Pinned`, `origin` -for `Pinned`). Further rules: +configuration with these filled in (`selection` stays `None` for `Global`, T2 included, and +`Pinned`, `origin` for `Pinned`). Further rules: + +- `Global`, with or without tunnels, takes no selection: any `selection`, even `PathSelection()`, + raises `Global does not accept selection`, before every other check of its row. + `prefer_headroom=True` without `tunnels` raises `prefer_headroom requires tunnels`, right after + `Global support and tunnels are mutually exclusive`. A selection's `priority` (`HEADROOM` + included) is a search and T1 comparison and never enables a controller objective. - `edge_weights` (one integer per edge in EdgeId order, each in `[0, 2^62)`) is given exactly when `weights=EXPLICIT`: `weights=EXPLICIT requires edge_weights`, `edge_weights require @@ -699,7 +709,13 @@ for `Pinned`). Further rules: `Absolute(c)` with `c >= 0` or `Stretch(f)` with `f` finite and at least 1 (as for `ksp`); `min_unreserved_bandwidth` in `[0, 2^62)` units (`min_unreserved_bandwidth must be an integer in [0, 2^62)`). -- **T1's tunnel limit.** The roster's heads times the tunnel count is at most 2^30 - 1: +- T2's row ([T2](#t2-the-controllers-equal-tunnels)): after the `Global` checks above (which + decide the row), `T2 does not accept placement`; `T2 with several sources requires + origin=EQUAL` (OPTIMIZED with more than one input source, counted before any Eligibility, with + the roster rules below); `T2 does not accept weights`; the tunnel count in `[1, 10000]`, the + largest count for "up to". +- **The tunnel limit** (T1, T2). The roster's heads times the tunnel count (T2 "up to": the + largest count) is at most 2^30 - 1: `tunnel limit exceeded: heads x tunnels > 1073741823` (no tunnel is made at construction). - Only `CostOnly` reads a `DagCache`; any other routing given one is rejected. @@ -719,9 +735,10 @@ the graph of each object the policy is given: the `Eligibility`, the program (`p another graph`), the support (`support belongs to another graph`), the `DagCache`, the black holes (`black_holes belongs to another graph`); enum values outside their enumeration; the table above, its row (routing, then placement) and then its columns left to right (placement, origin, -admission, selection, weights; T1's "up to" first); the cache rule; T1's own fields (the tunnel -count, `max_path_cost`, `min_unreserved_bandwidth`); `edge_weights`; the pooled single-path rule; -T1's tunnel limit; `Pinned`'s endpoints. +admission, selection, weights; `Global`'s support and tunnels together first, T1's "up to" first); +the cache rule; the tunnel models' own fields (the tunnel count; T1's `max_path_cost`, +`min_unreserved_bandwidth`); `edge_weights`; the pooled single-path rule; T2's several-sources rule; +the tunnel limit; `Pinned`'s endpoints. ### The origin @@ -741,14 +758,14 @@ There is no weighted origin; sources with fixed or uneven amounts are separate d ### The source roster -The roster is fixed when the policy is built. For `CostOnly`, T1 and `Global` it is +The roster is fixed when the policy is built. For `CostOnly`, T1, T2 and `Global` it is the allowed sources that have a static walk to an allowed destination over allowed edges, whatever their capacity, in ascending node id: a source whose only routes cross an edge of capacity 0 is in the roster, receives its share and cannot place it (a failure is expressed with an Eligibility, which removes the source); `Global` with a support counts only walks inside the support. For `Pinned` it is the program's heads that still reach a destination under the policy's Eligibility ([replay](#replay-under-a-failure)). The roster decides which sources receive shares; for the -computing models it also decides which records exist (T1: its heads' entries), while `Pinned` +computing models it also decides which records exist (T1 and T2: its heads' entries), while `Pinned` keeps one record per configured program entry even when no head survives the replay (such a record stays at zero). `by_source` reports every input source, a source outside the roster with a zero row. A positive request with @@ -777,6 +794,10 @@ per-entry records at zero. - **`CapacityAware` (T1)** sets up its tunnels for a design volume on every `replace` and `evaluate` and forwards them as its program; it has no incremental `place` ([T1](#t1-tunnels-set-up-by-their-heads)). +- **`Global(tunnels=...)` (T2)** lays out its tunnels for a design volume on every `replace` and + `evaluate` and forwards them as its program; it has no incremental `place` + ([T2](#t2-the-controllers-equal-tunnels)). The controller rules below are `Global`'s without + tunnels. - **`Global`** re-solves, on every positive call, the minimum-cost flow of the amount the policy already delivers plus this call's request (`placed_demand()` plus the request; what an earlier call could not place is not requested again) from its roster to its whole @@ -828,9 +849,9 @@ per-entry records at zero. source's record uses only edges of its own route. - **The controllers** (`Global`, `CostOnly` with `MAX_FLOW`) optimise the whole roster and destination set together; `Global` may use a costlier destination to carry more. -- **T1 heads** share the design and the offer by round robin over the roster in ascending node - id; a head's share goes only to its own tunnels, and what one head cannot carry is lost at that - head, never moved to another. +- **T1 and T2 heads** share the design and the offer by round robin over the roster in ascending + node id; a head's share goes only to its own tunnels, and what one head cannot carry is lost at + that head, never moved to another. - **`Pinned`** follows its program: its injection over the replay roster, then each head's entries. Two sources with one unit each meet at node 2, whose two members lead to the destination. Pooled, @@ -888,7 +909,7 @@ source 0 excluded 10 ### Forwarding programs **In plain words.** A program is what a routing decided, written down: which routes each source -uses and in which integer proportions. CostOnly, Global and T1 produce one (`policy.program`, +uses and in which integer proportions. CostOnly, Global, T1 and T2 produce one (`policy.program`, `result.program`). `Pinned(program)` forwards a program without computing anything: to replay a solution on another ledger, to study a failure (the routers drop the failed routes and split over the survivors) or to study the moment before anyone reacts (the failed elements swallow what @@ -903,15 +924,16 @@ reaches them). `ForwardingProgram.from_routes` builds a program from routes you `edges` (in path order), `route_cost` (these three `None` for a tunnel T1's setup left down), `status` (`UP`, or a down tunnel's `NO_BANDWIDTH` or `COST_CEILING`), `requested` and `reserved` (T1's request and what it holds on every edge of its path: the request when up, else - 0; 0 for the other producers) and `weight`. It has no public constructor. -- **Injection.** A total `x` enters at the roster (the heads with an entry; for T1 the policy's - roster, a head without an up tunnel included) either by round robin (**equal sources**) or by + 0; 0 for the other producers), `planned` (T2's planned bandwidth u, never held; 0 for the other + producers) and `weight`. It has no public constructor. +- **Injection.** A total `x` enters at the roster (the heads with an entry; for T1 and T2 the + policy's roster, a head without an up tunnel or without any tunnel included) either by round robin (**equal sources**) or by highest averages over the captured source weights; each head then splits its share by highest averages over its entries' weights (equal weights give round robin). A head whose entries all have weight 0 loses its share at the source. Identical routes are never merged: each entry takes its own share. -- **Entry identifiers.** T1 tunnels are numbered `j * H + i` (round `j`, roster position `i`, `H` - heads); controller paths are numbered in decomposition order; a `CostOnly` split +- **Entry identifiers.** T1 and T2 tunnels are numbered `j * H + i` (round `j`, roster position + `i`, `H` heads; T2's dead heads leave holes); controller paths are numbered in decomposition order; a `CostOnly` split program numbers its routes by roster position; supplied routes keep their position in the list (a split route uses its position too, so tunnel indices can skip it). Records (`entry`) and `by_tunnel` rows (`index`) use the same identifier. @@ -952,7 +974,7 @@ A `Pinned` policy's Eligibility is the failure being studied (local repair): - A split route loses its excluded members and the branches left without a destination; members of capacity 0 stay (`EQUAL_BALANCED` still sends them their share). - The roster is rebuilt from the program's **basis**, ignoring capacities and weights: for an - unrestricted controller and T1 the topology under the producing policy's exclusions, for `CostOnly`, + unrestricted controller, T1 and T2 the topology under the producing policy's exclusions, for `CostOnly`, a supported `Global` and supplied routes the original routes, each together with the policy's exclusions. A head that no longer reaches a destination leaves the pool (equal sources: its share moves to the others); a head that still reaches one but has no surviving entry keeps its @@ -1186,6 +1208,175 @@ its tunnels are down. Head 1's two tunnels come up on edge 1 and hold 6 of its 1 enters as 6 and 6: head 0 loses its 6, head 1's tunnels carry 3 and 3. `forward(8)` keeps the tunnels and the holds; head 0 still loses its share, now 4. +### T2: the controller's equal tunnels + +**In plain words.** `Global(tunnels=Tunnels(N))` models a central controller (a PCE or an SDN +controller) that programs, for every head, the same number of single-path tunnels, all planned +with one common whole-unit bandwidth. It first makes that common bandwidth as large as possible, +then (for a finite design volume) no larger than needed, then picks the cheapest routes, then +(with `prefer_headroom=True`) the routes that leave the most spare capacity, and finally breaks any +remaining tie by one fixed unit-by-unit procedure. Real traffic then splits equally over the heads +and over each head's tunnels; whole-unit remainders may use room beyond the plan. A planned +bandwidth is metadata: the ledger holds nothing for it. `Tunnels(L, up_to=True)` gives every head +one common count `k <= L`, the smallest that carries the design. A head that cannot reach a +destination over free capacity is dead: it keeps its share and loses it; a weak but live head +limits the common size of every tunnel, by design (heads that must not limit each other are +separate demands). + +**Exact rules.** + +- **Heads.** The roster (`H` heads in ascending node id) is topological, as for T1. A head is + **live** if it reaches an allowed destination over allowed links with free capacity `V >= 1`, + `V` the residual with this policy's own traffic released (`plan.live_heads`); the others are + **dead**: they keep their roster position and their share, get no tunnel and lose the share. `a` + live heads, `k` tunnels each (`N`, or the chosen count), `K = a * k` tunnels. +- **Sizing.** Tunnels of a common size `s > 0` exist exactly when `K` path units flow from a + virtual root (an arc of capacity `k` to every live head) to the destinations with link + capacities `min(K, floor(V / s))` (paths stop at the first destination). `common_share` U is the + largest integer size that passes (0 when none does); `fluid_share` is the exact fluid optimum + `s*` (a `Fraction` `V[e] / j` with `j <= K`; `U = floor(s*)`). +- **Working size.** For a finite design D, `planned_per_tunnel` u is `min(U, max(1, max over live + heads of ceil(RR(D, H, i) / k)))`, the shares taken over the whole roster, dead heads included; + an unlimited design uses `u = U`. Every tunnel is planned at u; `planned_total` is `K * u`. +- **Routes.** At u, among the count vectors `x` (the tunnels on each link) that route `k` tunnels + per live head with `x[e] <= min(K, floor(V[e] / u))`: first the smallest `route_cost` `J = sum of + cost[e] * x[e]` (idle tunnels count); then, with `prefer_headroom=True`, the smallest + `headroom_penalty`: each link with static capacity `B > 0` charges its `j`-th tunnel `floor(2^32 * + (B - V + j * u) / B)` (the occupied fraction of the link, rounded down to 2^-32); then the + canonical augmentation: `K` single units from zero, each on the residual path from the root to + the sink of the smallest `(J, Phi)` price, then the fewest arcs, then the smallest sequence of + arc keys (`(0, EdgeId, direction)` for links, `(1, head, direction)` for root arcs, `(2, + destination, direction)` for sink arcs; forward 0, reverse 1); a reverse arc undoes an earlier + unit. Without `prefer_headroom` the second price is 0. `J` and `Phi` are exact Python integers and can + exceed 64 bits. +- **The program.** `x` is cut, live head by live head in ascending node id, into unit walks along + the smallest positive EdgeId to a destination; each head's `k` walks are sorted by EdgeId + sequence (duplicates are separate tunnels). The tunnels are in round order: local index `j`, + then roster position `i`, with the entry index `j * H + i` (`H` counts dead heads too, so a dead + head leaves holes). Every tunnel is `UP` with weight 1, `planned = u` and `requested = reserved = + 0`; a plan books no hold. +- **Up to L.** For each `k` in `1..L` the program at `U(k)` scores `G(min(D, F'(k)))`: `G(z)` is + the part of a round-robin total `z` that the live heads receive, `F'(k)` the largest total whose + live shares fit on that program (dead shares ignored); an unlimited design scores `G(F'(k))`. + The smallest `k` whose score is the live part of D wins; if none, the largest score, then the + smallest `k`; the chosen `k` is then laid out at its own u (`plan.count`). Delivery is not + monotone in `k`, so only two proved bounds skip a `k`: with `M = H * k` roster positions the + score lies between `G(min(D, M * U(k)))` and `G(min(D, M * (U(k) + 1) - 1))`, and `U(k)` never + grows with `k` (once it is 0, every later count scores 0). +- **Outcomes.** An empty roster gives an empty program (`NO_ROUTE` for a positive offer). No live + head, or live heads with `U = 0` (`insufficient_resolution` True, `common_share` 0, + `fluid_share` positive), give a program **without tunnels that keeps the roster**: + `policy.program` is set, `forward` works and every head's share is lost at its head (Lossy + `COMPLETE`, Lossless `EXHAUSTED` for a positive offer). No partial program is made for one head. +- **Forwarding** is the program's: a total `x` enters as `RR(x, H, i)` over the whole roster, + then round robin over the head's `k` tunnels in local order; a dead head's share is lost. + `forwarding_bound` F is the program's lossless maximum on the call's view (a dead head's share + blocks every total that gives it a unit: F is then 0 or a few remainder units). With `u = U` and + every head live, `0 <= F - K * U < K`. +- **Configuration.** `prefer_headroom` (`False` by default) switches the headroom objective on; + T2 takes no `selection` (`Global does not accept selection`), always keeps every parallel link, + uses single-path tunnels and the canonical final tie. Origin `EQUAL` (the default); `OPTIMIZED` only with one input source (`T2 with several + sources requires origin=EQUAL`, counted before any Eligibility), the same calculation. `support` + and `tunnels` together raise `Global support and tunnels are mutually exclusive`. Admission + `LOSSLESS` or `LOSSY`. No path-cost ceiling. The tunnel count and the tunnel limit as for T1 + (`L` counts for "up to"). +- **Operations.** No `place` (`T2 does not support incremental placement`, `place(0)` too). + `replace(offer, design_demand=D)` releases the policy's own traffic, lays the tunnels out again + for D and forwards; `design_demand=None` means `D = offer`, and `float('inf')` (or an infinite + Lossless offer) is an unlimited design. `evaluate` computes the same and publishes nothing; + `forward(offer)` forwards the installed program and keeps its plan. A planned size change over + the same routes sets no flag. T2 reports no `total_cost`, `min_cut` or `cost_distribution`. +- **Records and rows.** One record per tunnel in index order (a dead head has no entry and no + record). +- **The plan.** `count`, `design_demand`, `head_design` (empty for an unlimited design) and + `reserved_total` (0), then T2's own fields: `live_heads`, `insufficient_resolution`, + `fluid_share`, `common_share`, `planned_per_tunnel`, `planned_total`, `route_cost`, + `headroom_penalty` (`None` without `prefer_headroom`) and `forwarding_bound`. With no live head every + amount is 0 (`count` is N, or 1 for "up to"). + +A T2 call: two branches from node 0 to node 3 of 2 and 10 (at q = 2^-12: 8192 and 40960 units), +16 tunnels, `prefer_headroom=True`, then the same program replayed with the 2-unit branch's second +link down: + +```python +q = 2.0 ** -12 +g = ngc.Graph(4, src=[0, 0, 1, 2], dst=[1, 2, 3, 3], capacity_units=ngc.to_units([2, 10, 2, 10], q), + cost=[1, 1, 1, 1], resolution=q) +te16 = ngc.FlowPolicyConfig(routing=ngc.Global(tunnels=ngc.Tunnels(16), prefer_headroom=True), + admission=ngc.Admission.LOSSY) +pol = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, te16) +r = pol.replace(49152) +p = r.plan +print(p.common_share, p.planned_per_tunnel, p.fluid_share, p.forwarding_bound, r.placed) +print(p.planned_total, p.route_cost, p.headroom_penalty, p.live_heads, p.insufficient_resolution) +print([t.edges for t in r.program.tunnels][:3], [t.planned for t in r.program.tunnels][:3]) +fail = g.eligibility(excluded_edges=[2]) +replay = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, + ngc.FlowPolicyConfig(routing=ngc.Pinned(pol.program), admission=ngc.Admission.LOSSY), + elig=fail) +s = replay.replace(49152) +print([t.status.name for t in s.by_tunnel][:3], s.placed) +``` + +```text +2925 2925 20480/7 46812 47104 +46800 32 73610035200 (0,) False +[(0, 2), (0, 2), (1, 3)] [2925, 2925, 2925] +['FAILED', 'FAILED', 'UP'] 40960 +``` + +The fluid optimum is 20480/7 (a size that fills both branches exactly), so the common whole-unit +size is 2925: 2 tunnels fit the 8192-unit branch and 14 the 40960-unit one. The plan carries 46800; +forwarding the whole offer delivers 47104 because remainder units use the room left on the wide +branch. In the replay the two tunnels on the failed branch are `FAILED` and the head splits its +whole share over the other 14. + +A dead head, a head too weak for one unit per tunnel, and "up to": + +```python +lossy_t2 = lambda tunnels: ngc.FlowPolicyConfig(routing=ngc.Global(tunnels=tunnels), admission=ngc.Admission.LOSSY) +dead = graph(3, [(0, 2, 0, 1), (1, 2, 10, 1)]) +r = ngc.FlowPolicy(ngc.FlowLedger(dead), [0, 1], 2, lossy_t2(ngc.Tunnels(2))).replace(10) +print(r.plan.live_heads, [t.index for t in r.program.tunnels], r.plan.planned_per_tunnel, r.placed, r.call_source_loss) +tiny = graph(3, [(0, 2, 1, 1), (1, 2, 100, 1)]) +r = ngc.FlowPolicy(ngc.FlowLedger(tiny), [0, 1], 2, lossy_t2(ngc.Tunnels(16))).replace(200) +print(r.plan.insufficient_resolution, r.plan.fluid_share, r.program.tunnels, r.call_source_loss) +r = ngc.FlowPolicy(ngc.FlowLedger(tiny), [0, 1], 2, lossy_t2(ngc.Tunnels(3, up_to=True))).replace(200) +print(r.plan.count, [t.edges for t in r.program.tunnels], r.placed) +``` + +```text +(1,) [1, 3] 3 5 5 +True 1/16 () 200 +1 [(0,), (1,)] 101 +``` + +Head 0's only link has no free capacity: it is dead, keeps its share of 5 and loses it, and its +positions 0 and 2 are holes. Behind links of 1 and 100, 16 tunnels per head fit no whole unit +(`s*` = 1/16): the program has no tunnels and the whole offer is lost at the heads. Up to 3, one +tunnel per head fits a unit; it carries 1 of head 0's 100 and all of head 1's. + +The headroom objective on two equal-cost parallel links of 10, two tunnels for a design of 2: + +```python +par = graph(2, [(0, 1, 10, 1), (0, 1, 10, 1)]) +for on in (False, True): + cfg = ngc.FlowPolicyConfig(routing=ngc.Global(tunnels=ngc.Tunnels(2), prefer_headroom=on), + admission=ngc.Admission.LOSSY) + r = ngc.FlowPolicy(ngc.FlowLedger(par), 0, 1, cfg).replace(12, design_demand=2) + print(on, [t.edges for t in r.program.tunnels], r.plan.headroom_penalty, r.plan.forwarding_bound, r.placed) +``` + +```text +False [(0,), (0,)] None 10 10 +True [(0,), (1,)] 858993458 20 12 +``` + +Both plans size the tunnels at 1 unit (U = 10). Without the objective the cost tie goes to the +smallest keys: both tunnels on link 0, which then bounds forwarding at 10. With it, a second slot +on link 0 would pay `floor(2^32 * 2 / 10)` against `floor(2^32 / 10)` on link 1, so the tunnels +spread and the program forwards 20. + ### The placement call `place(volume, outputs=None)` takes a request in units (an `int`) or `float('inf')`. @@ -1207,8 +1398,9 @@ tunnels and the holds; head 0 still loses its share, now 4. requires a finite offer`); for `CostOnly` it is the **first-hop experiment**: each source injects on each of its first edges exactly that edge's residual, on top of the traffic other sources send through it, and forwarding runs as usual. 4. **The controllers** re-solve as described above. -5. **T1** has no `place`: every call raises `T1 does not support incremental placement`, before - anything else (a request of 0 too); its calls are `replace`, `evaluate` and `forward`. +5. **T1 and T2** have no `place`: every call raises ` does not support incremental + placement`, before anything else (a request of 0 too); their calls are `replace`, `evaluate` + and `forward`. 6. **Commit.** All changes to the ledger and the policy are committed together at the end, or none are ([section 8](#8-failures-threads-and-lifetimes)). @@ -1267,7 +1459,7 @@ view**: the ledger's residual with the policy's own traffic given back. | --- | --- | --- | | `evaluate(offer, *, design_demand=None, outputs=None)` | computes and forwards `offer` from the released view as a fresh epoch would (T1: sets up on its unreserved view with its own holds released), and reports it; publishes nothing, creates no record and books no hold | all | | `replace(offer, *, design_demand=None, outputs=None)` | the same computation, then published at once: the old records and holds are retired, new ones created, the new program installed, a new epoch begun with `requested = offer`; delivery may go down | all | -| `forward(offer, *, black_holes=None, outputs=None)` | forwards a full new offer over the installed program with no route computation and no setup (weights stay frozen, a controller does not re-solve, T1 keeps its tunnels and holds), on the released view, then publishes like `replace`; `black_holes` forwards it stale for this call | `CostOnly`, `Global` and T1 with an installed program; `Pinned` uses `replace` | +| `forward(offer, *, black_holes=None, outputs=None)` | forwards a full new offer over the installed program with no route computation and no setup (weights stay frozen, a controller does not re-solve, T1 keeps its tunnels and holds, T2 its tunnels and plan), on the released view, then publishes like `replace`; `black_holes` forwards it stale for this call | `CostOnly`, `Global`, T1 and T2 with an installed program; `Pinned` uses `replace` | - `placed` of a full-offer call is its whole new delivery and `delivery_delta` the new delivery minus the old (it may be negative). A later `place` continues the epoch a `replace` or a @@ -1277,11 +1469,11 @@ view**: the ledger's residual with the policy's own traffic given back. program` (also after `remove()`); the offer; a Lossy `+inf` (`LOSSY forwarding requires a finite offer`, as for `evaluate` and `replace` and Lossy `Pinned`); the black holes' graph (`black_holes belongs to another graph`). -- **`design_demand`** belongs to T1 alone (every other routing raises ` does not accept - design_demand`, the model `CostOnly`, `Global` or `Pinned`): an integer in `[0, 2^62)` or +- **`design_demand`** belongs to T1 and T2 alone (every other routing raises ` does not + accept design_demand`, the model `CostOnly`, `Global` or `Pinned`): an integer in `[0, 2^62)` or `float('inf')` (else `design_demand must be an integer in [0, 2^62) or permitted +inf`); `None` means equal to the offer; T1 needs it finite (`T1 requires a finite design demand`, also for an - infinite offer without a design). It never accumulates. `evaluate` and `replace` check the + infinite offer without a design); T2 takes an unlimited one (its largest common size). It never accumulates. `evaluate` and `replace` check the offer, then a Lossy `+inf`, then the design (the routing, its domain, finiteness). ```python @@ -1314,7 +1506,7 @@ applies (an invalid call raises instead): | --- | --- | | `COMPLETE` | the request is 0 | | `NO_ROUTE` | the request is positive and the roster is empty (`Pinned`: the replay roster) | -| `NO_ACTIVE_WEIGHT` | the program has an entry with a path (an up tunnel, a controller path or a split route), but nothing can be sent anywhere: every `WEIGHTED` member has weight 0, or no head with a positive injection weight has a surviving entry of positive weight (routes of weight 0, every up tunnel failed). A program whose tunnels are all down (T1) is not this case: it goes on to the rows below, every share lost at its head | +| `NO_ACTIVE_WEIGHT` | the program has an entry with a path (an up tunnel, a controller path or a split route), but nothing can be sent anywhere: every `WEIGHTED` member has weight 0, or no head with a positive injection weight has a surviving entry of positive weight (routes of weight 0, every up tunnel failed). A program whose tunnels are all down (T1) or that has no tunnels (T2 with every head dead, or U = 0) is not this case: it goes on to the rows below, every share lost at its head | | `COMPLETE` | Lossy with a finite request: the whole request was forwarded, and delivery and losses account for all of it (it does not mean nothing was lost) | | `COMPLETE` | Lossless: the whole request was admitted | | `EXHAUSTED` | otherwise: Lossless below the request, any infinite request (the first-hop experiment included), a controller whose maximum is 0 over existing routes | @@ -1364,7 +1556,9 @@ program counts as an empty one): `routes_changed` the ordered heads, each entry' (a tunnel's path, a split route's members), duplicates included; `weights_changed` the injection (equal or the captured weights, by value) and every entry and split-table weight, an entry absent from one program counting as weight 0; `reservations_changed` every tunnel's `requested` and -`reserved` amounts by index, an absent tunnel counting as 0 (only T1 sets it). Hence: +`reserved` amounts by index, an absent tunnel counting as 0 (only T1 sets it: T2's planned +bandwidth is no reservation, and a T2 layout over the same routes at another planned size sets +no flag). Hence: | Committed change | `routes_changed` | `weights_changed` | | --- | --- | --- | @@ -1406,8 +1600,9 @@ does not, so the two are never confused. `call_drops`, this call's drops per edge as `[(EdgeId, units)]`; `call_source_loss`, the units this call lost at sources. - **The demand's state**: `program` (the installed `ForwardingProgram`, `evaluate`'s computed one; - `None` before the epoch's first preparation and after `remove()`), `plan` (T1: the `TunnelPlan` - of that program, [T1](#t1-tunnels-set-up-by-their-heads); `None` for every other routing), + `None` before the epoch's first preparation and after `remove()`), `plan` (T1 and T2: the + `TunnelPlan` of that program, [T1](#t1-tunnels-set-up-by-their-heads), + [T2](#t2-the-controllers-equal-tunnels); `None` for every other routing, `Pinned` included), `requested` (the sum of the requests, `float('inf')` after an infinite one), `offered`, `admitted`, `delivered`, `unadmitted`, `source_loss`, `drops` (per edge, as `[(EdgeId, units)]`), `by_source`, `by_tunnel` and `total_cost`. Every amount is an exact Python integer and @@ -1429,13 +1624,13 @@ does not, so the two are never confused. (its injected share), `delivered` and `dropped`. It is another view of the same traffic as `by_source`, never added to it. - **`total_cost`**: the controllers only, the exact `sum(cost[e] * flow[e])` of the policy's - allocation; `None` otherwise (T1 and `Pinned` included). + allocation; `None` otherwise (T1, T2 and `Pinned` included). - **`cost_distribution`**: unrestricted `Global` with `OPTIMIZED` origin only, the marginal cost curve of the policy's cumulative flow (a request of 0 reports it unchanged; `None` before the epoch's first positive call). `None` for every other mode, `EQUAL` origin included: the marginal costs of an equal flow need not increase. For other modes, the sum of `(route_cost, delivered)` over the records is a histogram of delivery by each record's cheapest walk cost: the cost every unit - travels at for `CostOnly` split routing and T1, whose routes have one cost, but not + travels at for `CostOnly` split routing, T1 and T2, whose routes have one cost, but not for a split route whose walks differ in cost. - **Optional outputs**, `None` unless requested through `OutputOptions(edge_flows=False, residual=False, bottleneck=False, reservation_edge_flows=False, min_cut=False)`: `edge_flows` is @@ -1627,7 +1822,8 @@ answers can differ from placing into a ledger that other demands already occupy. - **`QueryOptions(config, *, elig=None, cache=None, outputs=None, design_demand=None, offered=None)`** is the one options type of the three evaluators: the configuration, the static Eligibility (`None`: everything allowed), the DagCache (`None`: a private cache per worker), the - optional outputs of each result (`sensitivity`: of its baseline), T1's design (`design_demand`) + optional outputs of each result (`sensitivity`: of its baseline), the tunnel models' design + (`design_demand`) and the Lossy offer (`offered`), each an integer in `[0, 2^62)` or `float('inf')` (else ` must be an integer in [0, 2^62) or permitted +inf`). - **`capacity(graph, sources, destinations, opts)`** is `place(float('inf'))` of a `FlowPolicy` @@ -1636,12 +1832,17 @@ answers can differ from placing into a ledger that other demands already occupy. Lossy requires a finite `offered` (`Pinned LOSSY capacity requires finite offered`); `CostOnly` Lossy is the first-hop experiment and takes none (`CostOnly LOSSY capacity uses first-hop injection`); every Lossless configuration takes none (` LOSSLESS capacity does not accept - offered`, the model `CostOnly`, `Global`, `Pinned` or `T1`). **T1** evaluates its design + offered`, the model `CostOnly`, `Global`, `Pinned`, `T1` or `T2`). **T1** evaluates its design instead: `evaluate(float('inf'), design_demand=D)` Lossless (the lossless bound of the tunnels set up for D), `evaluate(offered, design_demand=D)` Lossy. Its design is always required (`T1 capacity requires design_demand`) and finite (`T1 requires a finite design demand`), in both admissions (the scalar rule "`None` means the offer" does not apply here); Lossy also requires a finite - `offered` (`T1 LOSSY capacity requires finite offered`). Every other routing rejects a design + `offered` (`T1 LOSSY capacity requires finite offered`). **T2** evaluates its design too: + Lossless `evaluate(float('inf'), design_demand=D)`, the lossless bound of the layout for D, an + absent design meaning unlimited; Lossy `evaluate(offered, design_demand=D)`, an absent design + meaning the offered amount and an absent `offered` the design when it is finite (`T2 LOSSY + capacity requires finite offered` when neither is, and for an explicit `offered=float('inf')` + whatever the design). Every other routing rejects a design (` does not accept design_demand`). The order: `offered`'s domain, the design's domain, the routing accepts a design, T1's design given, finite, then the offer rules above. The exact maximum flow is the configuration `Global()` (its default origin is `OPTIMIZED`): its result carries the marginal cost curve and, @@ -1673,9 +1874,9 @@ answers can differ from placing into a ledger that other demands already occupy. path, or a source behind it no longer holds the equal origin back). Unrestricted `Global` with `OPTIMIZED` origin computes each deletion by repairing a copy of the baseline's solve, which gives exactly the value of a fresh solve; with `EQUAL` origin or a support each deletion is - solved afresh. T1 sets up again for the same design under each deletion (every allowed edge is - a candidate; deleting an edge of capacity 0 can take a head out of the roster and raise the - total). `Pinned` replays the same program under each deletion (a fixed-route failure + solved afresh. T1 sets up again for the same design under each deletion, T2 redoes its + sizing, count selection and objectives (every allowed edge is a candidate; deleting an edge of + capacity 0 can take a head out of the roster and raise the total). `Pinned` replays the same program under each deletion (a fixed-route failure question, not a new optimum): deleting an edge of a tunnel fails that tunnel. `CostOnly` gives loss 0 without recomputation to an edge outside the static shortest-path support reachable from the roster sources (no route can use it); these are equivalent forms of the @@ -1733,7 +1934,7 @@ self-contained: | `netgraph/core/search.hpp` | `spf`, `ksp`, `resolve_to_paths`, `SpfOptions`, `SpfResult`, `KspOptions`, `SpfQueue` | | `netgraph/core/flow_record.hpp` | `FlowId`, `Counter128` (the 128-bit cumulative counter), `FlowRecord` | | `netgraph/core/flow_ledger.hpp` | `FlowLedger` | -| `netgraph/core/flow_policy.hpp` | `FlowPolicy`, its configuration (`CapacityAware`, `Tunnels` among them) and result types (`SourceFlow`, `TunnelFlow` and `TunnelPlan` among them), `Termination` | +| `netgraph/core/flow_policy.hpp` | `FlowPolicy`, its configuration (`CapacityAware`, `Global`, `Tunnels` among them) and result types (`SourceFlow`, `TunnelFlow` and `TunnelPlan` among them), `Termination` | | `netgraph/core/dag_cache.hpp` | `DagCache`, `DagCacheMiss` | | `netgraph/core/evaluators.hpp` | `capacity`, `batch_capacity`, `sensitivity` and their option and result types | @@ -1743,9 +1944,10 @@ Spelling differences: Python enum members and constants are upper case C++ returns `kUnreachable`; an infinite request is an empty `std::optional` volume, and its `remaining` and `requested` are empty too. An optional field that Python reports as `None` (`placement`, `selection`, `origin` and `weights` of a configuration, `PathSelection.multipath`, -`offered`, `unadmitted`, `total_cost`, `cost_distribution`, `plan`, `FlowRecord.entry`, a down -tunnel's `destination`, `edges` and `route_cost`, the optional outputs) is an empty -`std::optional` in C++; a `design_demand` (of `evaluate`, `replace` and `QueryOptions`) is a +`offered`, `unadmitted`, `total_cost`, `cost_distribution`, `plan` and T2's fields of a +`TunnelPlan`, `Global.tunnels`, `FlowRecord.entry`, a down tunnel's `destination`, `edges` and +`route_cost`, the optional outputs) is an empty `std::optional` in C++; `fluid_share` is a +reduced `(numerator, denominator)` pair, `route_cost` and `headroom_penalty` are `Counter128`; a `design_demand` (of `evaluate`, `replace` and `QueryOptions`) is a `std::optional>`, absent for `None` and an empty inner value for `float('inf')`; and a `None` program, support or black holes a null `std::shared_ptr` (`edge_weights` is a shared array, `std::shared_ptr>`); the epoch's amounts diff --git a/include/netgraph/core/detail/flow_core.hpp b/include/netgraph/core/detail/flow_core.hpp index dbdc76d..f1dac12 100644 --- a/include/netgraph/core/detail/flow_core.hpp +++ b/include/netgraph/core/detail/flow_core.hpp @@ -268,4 +268,11 @@ struct SubsetFlow { std::span destinations, std::optional cap, std::span source_caps = {}); +// The value of solve_subset's flow with every arc's cost taken as 0: one search, then blocking +// flows over every arc with residual capacity, a maximum flow under `cap` with no cost order (T2's +// feasibility tests of a size). The same inputs, limits and errors as solve_subset. +[[nodiscard]] Amount max_flow_subset(const Graph& g, std::span edges, std::span caps, + std::span sources, std::span destinations, Amount cap, + std::span source_caps = {}); + } // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/policy_engine.hpp b/include/netgraph/core/detail/policy_engine.hpp index d187a0f..fd09a36 100644 --- a/include/netgraph/core/detail/policy_engine.hpp +++ b/include/netgraph/core/detail/policy_engine.hpp @@ -25,7 +25,7 @@ struct DeletionCapture; // A live flow of the policy between calls. Its amounts are its ledger record (delivered; edges; // Lossy offered and drops; T1's holds). The flows of CostOnly and Global are one per roster -// source (CostOnly's sources share the epoch's program); a T1 or Pinned policy's are one per +// source (CostOnly's sources share the epoch's program); a T1, T2 or Pinned policy's are one per // program entry (`entry`). struct LiveFlow { std::int64_t id {-1}; @@ -39,11 +39,12 @@ struct LiveFlow { // policy epoch): a value, so a full-offer call builds its own and publishes it whole. struct Epoch { // The live flows: per roster index (CostOnly and Global: one per source), or per program entry - // (T1, Pinned). + // (T1, T2, Pinned). std::vector> cohorts {}; - // The installed program (null before the first preparation) and, for T1, its setup summary. + // The installed program (null before the first preparation) and, for T1 and T2, its setup summary + // (shared, never changed: a policy without tunnels carries a null pointer, not a TunnelPlan). std::shared_ptr program {}; - std::optional plan {}; + std::shared_ptr plan {}; // CostOnly MaxFlow: the union of the roster's routes, the controller's support (ascending). std::vector support {}; // Unrestricted Global with the optimized origin: the cumulative marginal curve of the last solve @@ -77,7 +78,7 @@ struct PolicyEngine { std::shared_ptr support {}; // CostOnly: the full static support // Global with a support: the trimmed support (ascending), shared with its programs' replay basis. std::shared_ptr> global_support {}; - // Unrestricted Global and T1: the mask's excluded nodes and edges (ascending), their programs' + // Unrestricted Global, T1 and T2: the mask's excluded nodes and edges (ascending), their programs' // replay basis. std::vector excluded_nodes {}; std::vector excluded_edges {}; @@ -109,11 +110,13 @@ struct PolicyAccess { // The configuration checks of FlowPolicy, shared with the evaluators' argument checks, in // FlowPolicyConfig's order (the enumeration values, the model's row, the DagCache: `cache` says -// whether one is supplied, T1's parameters, edge_weights' length and entries against `num_edges`); +// whether one is supplied, the tunnel models' parameters, edge_weights' length and entries against +// `num_edges`); // returns its selection, origin and weights with an absent one resolved (nothing else is copied). // Then, with the normalized endpoint counts, the pooled single-path rule (check_source_count: an // absent selection is PathSelection(), multipath absent, so it reads the configuration resolved or -// not alike), and with the roster size T1's tunnel limit (check_tunnel_limit). +// not alike) and T2's several-sources rule, and with the roster size the tunnel limit +// (check_tunnel_limit). struct ResolvedAxes { std::optional selection; std::optional origin; @@ -125,7 +128,8 @@ void check_tunnel_limit(const FlowPolicyConfig& cfg, std::size_t num_heads); // forward()'s first checks, before its offer is read (the binding runs them before converting // it): `Pinned forwards with replace`, then `forward requires an installed program`. void check_forward_operation(const PolicyEngine& pe); -// The model's name in messages: CostOnly, Global, T1 (CapacityAware) or Pinned. +// The model's name in messages: CostOnly, Global, T1 (CapacityAware), T2 (Global with tunnels) or +// Pinned. [[nodiscard]] const char* model_name(const Routing& r) noexcept; } // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/program_data.hpp b/include/netgraph/core/detail/program_data.hpp index d755454..9c23766 100644 --- a/include/netgraph/core/detail/program_data.hpp +++ b/include/netgraph/core/detail/program_data.hpp @@ -66,7 +66,7 @@ struct ProgramData { std::span destinations {}; // ascending std::vector tunnels {}; std::optional>> source_weights {}; - // The injection: the roster (the heads with an entry, ascending; T1: the policy's roster), its + // The injection: the roster (the heads with an entry, ascending; T1, T2: the policy's roster), its // captured weights (empty: equal sources), every entry in ascending index, per roster slot its // entries (ascending index). std::span roster {}; @@ -145,6 +145,23 @@ struct ControllerPath { Amount amount {0}; }; +// A flow cut into paths (4.1), source by source in ascending NodeId: while a source has supply +// left (its net outflow), take the smallest EdgeId sequence with positive remaining flow, stopping +// at the first destination; assign min(supply left, smallest remaining edge flow on that walk), +// subtract it, record the walk as one path (`slot`: the source's position in `roster`). `edges` +// (ascending) are the flow's edges and `rem` is aligned with them, or `edges` is empty and `rem` +// has one entry per EdgeId. Per source also its share (the edges and amounts its paths use, +// ascending) and its supply. A unit flow cut this way gives the unit walks of T2's program (each +// path repeated `amount` times). std::logic_error when the flow is not conserved, has a positive +// cycle or is not covered by the walks. +struct Decomposition { + std::vector paths {}; + std::vector>> shares {}; + std::vector supplies {}; +}; +[[nodiscard]] Decomposition decompose(const Graph& g, std::span edges, std::vector rem, + std::span roster, std::span dests); + // A controller program's replay basis: the topology under the producer's exclusions (its excluded // nodes and edges, ascending), per roster source its route, or one edge set for every source // (both shared, not copied). @@ -172,8 +189,8 @@ struct ControllerBasis { const Graph& g, std::span sources, std::span destinations, std::span roster, std::shared_ptr plan, std::vector entries); -// A T1 tunnel as setup leaves it: its roster slot and round, request, status and (up) its path in -// walk order with its cost. +// A T1 or T2 tunnel as its computation leaves it: its roster slot and round, T1's request, its +// status and (up) its path in walk order with its cost, T2's planned bandwidth (0 for T1). struct SetupTunnel { std::int32_t slot {0}; std::int32_t round {0}; @@ -181,12 +198,14 @@ struct SetupTunnel { TunnelStatus status {TunnelStatus::Up}; std::vector edges {}; Cost cost {0}; + Amount planned {0}; }; -// The program of T1: the policy's roster (every head, an entry or not), its tunnels in round -// order (`tunnels`: round-major, heads in roster order, so index = round * H + slot), weight 1 up -// and 0 down, reserved = requested up and 0 down; equal sources; the replay basis the topology -// under the policy's exclusions (ascending). +// The program of T1 or T2: the policy's roster (every head, an entry or not: T2's dead heads have +// none), its tunnels in round order (`tunnels`: round-major, heads in roster order, so index = +// round * H + slot, a dead head's positions left as holes), weight 1 up and 0 down, reserved = +// requested up and 0 down, planned as given; equal sources; the replay basis the topology under +// the policy's exclusions (ascending). [[nodiscard]] std::shared_ptr tunnel_program( const Graph& g, std::span sources, std::span destinations, std::span roster, std::vector tunnels, std::span excluded_nodes, diff --git a/include/netgraph/core/detail/tunnels.hpp b/include/netgraph/core/detail/tunnels.hpp index e201576..1c44f46 100644 --- a/include/netgraph/core/detail/tunnels.hpp +++ b/include/netgraph/core/detail/tunnels.hpp @@ -1,6 +1,8 @@ /* The tunnel models' computations (internal). T1 (tunnels_t1.cpp): every head sets up its own - tunnels by CSPF on the reservation view; its program is built by tunnel_program - (program_data.hpp) and forwarded by the forwarding engine like any other program. */ + tunnels by CSPF on the reservation view. T2 (tunnels_t2.cpp): a controller lays out the same + number of tunnels with one common planned bandwidth for every live head. Both programs are built + by tunnel_program (program_data.hpp) and forwarded by the forwarding engine like any other + program. */ #pragma once #include @@ -16,6 +18,11 @@ namespace netgraph::core::detail { +// RR(x, k, i) = x // k + [i < x % k] (2.3): member i's share of x over k members. +[[nodiscard]] inline Amount rr(Amount x, std::int64_t k, std::int64_t i) noexcept { + return x / k + (i < x % k ? 1 : 0); +} + // T1's setup (6.2 to 6.4) for the design volume D (< 2^62) over the roster's H heads (ascending) // with N = ca.tunnels.count tunnels each: head i's share RR(D, H, i), its tunnel j's request // RR(share, N, j); the attempts in round order (round j, heads ascending), every one even after @@ -32,6 +39,45 @@ namespace netgraph::core::detail { std::span dests, const PathSelection& selection, const CapacityAware& ca, Cost c0, Amount D, std::vector U); +// T2's layout (7.2 to 7.7) on V (dense, E entries: the free capacity with this policy's own +// traffic released) for the roster's H heads (ascending) toward the allowed destinations `dests` +// under `elig`: the live heads (those reaching a destination over links with V >= 1), the count k +// (tunnels.count, or the chosen count of "up to"), U (the largest common whole-unit size of k +// tunnels per live head: common), the exact fluid optimum s* = fluid_num / fluid_den (reduced; 0 / 1 +// without a live head), the working size u (planned: min(U, max(1, max live ceil(RR(D, H, i) / k))) +// for a finite design D, U for an unlimited one), and at u (U >= 1) the tunnels in round order +// (slot: the roster position, round: the local index, planned u) with their route-cost sum J and +// (with `headroom`) their headroom penalty Phi (t2_objectives). No live head: count N (1 for "up +// to") and nothing else; U = 0 with live heads: no tunnels. +struct T2Layout { + std::int64_t count {0}; + std::vector live {}; + Amount common {0}; + Amount planned {0}; + Amount fluid_num {0}; + Amount fluid_den {1}; + std::vector tunnels {}; + Counter128 route_cost {}; + Counter128 headroom_penalty {}; +}; +[[nodiscard]] T2Layout t2_layout(const Graph& g, const Eligibility* elig, std::span roster, + std::span dests, const Tunnels& tunnels, bool headroom, + std::optional design, std::span V); + +// T2's objectives (7.3) of a count vector x over `edges` (x[i] tunnels on edges[i]) at size u >= 1 +// on V (dense, E entries): the route cost J = sum cost x and, with `headroom`, the headroom penalty +// Phi = the sum over links of capacity B > 0 of floor(2^32 (B - V + j u) / B) for j = 1..x (each +// link's sum in closed form). Exact 128-bit: J < K (cost sum) < 2^92; Phi <= 2^32 sum x, where +// sum x counts every link of every tunnel (sum x < 2^62; Phi itself can pass 2^64 for valid +// inputs), so Phi < 2^94. With `headroom`, a link of capacity B > 0 requires V <= B and x u <= V +// (std::logic_error otherwise). +struct T2Objectives { + Counter128 route_cost {}; + Counter128 headroom_penalty {}; +}; +[[nodiscard]] T2Objectives t2_objectives(const Graph& g, std::span edges, std::span x, + std::span V, Amount u, bool headroom); + // The heads' design shares RR(D, H, i) as (head, share) in roster order (TunnelPlan::head_design). [[nodiscard]] std::vector> head_design(std::span roster, Amount D); diff --git a/include/netgraph/core/evaluators.hpp b/include/netgraph/core/evaluators.hpp index fb9d6d9..40bdd04 100644 --- a/include/netgraph/core/evaluators.hpp +++ b/include/netgraph/core/evaluators.hpp @@ -1,5 +1,5 @@ -/* The evaluators: capacity (a FlowPolicy placement of +inf on a fresh ledger, T1's evaluate of - its design; the exact maximum flow is capacity() with routing Global and the optimized origin), +/* The evaluators: capacity (a FlowPolicy placement of +inf on a fresh ledger, the tunnel models' + evaluate of their design; the exact maximum flow is capacity() with routing Global and the optimized origin), batch_capacity (capacity per pair) and sensitivity (the loss of deleting each candidate edge). */ #pragma once @@ -18,13 +18,14 @@ namespace netgraph::core { // The options of every evaluator: the configuration, the static Eligibility, the DagCache, the // optional outputs of each result (sensitivity: of its baseline), `design_demand` (T1's design, -// required and finite; every other model rejects one) and `offered`, the offer of a T1 or Pinned -// Lossy evaluation (both absent: none; an inner nullopt is +inf). The Eligibility and the cache -// outlive the call. +// required and finite; T2's, absent meaning unlimited (Lossless) or the offer (Lossy); every other +// model rejects one) and `offered`, the offer of a T1, T2 or Pinned Lossy evaluation (both absent: +// none; an inner nullopt is +inf). The Eligibility and the cache outlive the call. // | model | Lossless | Lossy | // | CostOnly EqualBalanced/Weighted | the uncapped bound (no offered) | the first-hop experiment (no offered) | // | CostOnly MaxFlow, Global | the uncapped optimum (no offered) | rejected | // | T1 | the lossless bound of the tunnels set up for the design (no offered) | the design's tunnels forward offered (required and finite) | +// | T2 | the lossless bound of the layout for the design (absent: unlimited; no offered) | offered finite; absent: the design if finite | // | Pinned | the fixed-program bound (no offered) | offered required and finite | struct QueryOptions { FlowPolicyConfig config; @@ -52,14 +53,15 @@ struct SensitivityResult { // DagCacheMiss. // place(+inf) of a FlowPolicy with opts.config on a fresh ledger of g (its capacities); Pinned -// Lossy: place(offered); T1: evaluate(+inf, design) Lossless, evaluate(offered, design) Lossy. -// The amounts are checked after the policy's construction, in this order: `offered` and -// `design_demand` each an amount in [0, 2^62) or +inf; a design only for T1 (` does not -// accept design_demand`), required (`T1 capacity requires design_demand`) and finite (`T1 -// requires a finite design demand`); then `offered`: a Lossless model rejects it (` -// LOSSLESS capacity does not accept offered`), CostOnly Lossy too (`CostOnly LOSSY capacity uses -// first-hop injection`), and T1 and Pinned Lossy require it finite (` LOSSY -// capacity requires finite offered`). +// Lossy: place(offered); T1: evaluate(+inf, design) Lossless, evaluate(offered, design) Lossy; +// T2: evaluate(+inf, design or unlimited) Lossless, evaluate(offered or the design, design or +// offered) Lossy. The amounts are checked after the policy's construction, in this order: +// `offered` and `design_demand` each an amount in [0, 2^62) or +inf; a design only for T1 and T2 +// (` does not accept design_demand`), T1's required (`T1 capacity requires design_demand`) +// and finite (`T1 requires a finite design demand`); then `offered`: a Lossless model rejects it +// (` LOSSLESS capacity does not accept offered`), CostOnly Lossy too (`CostOnly LOSSY +// capacity uses first-hop injection`), and T1, T2 (without a finite design) and Pinned Lossy +// require it finite (` LOSSY capacity requires finite offered`). [[nodiscard]] PlacementResult capacity(const Graph& g, std::span sources, std::span destinations, const QueryOptions& opts); @@ -91,7 +93,8 @@ struct SensitivityResult { // same config, offered and cache. Unrestricted optimized Global starts from the baseline solve's // final state and repairs it after deleting the edge, using one state copy per worker. The result // is the exact maximum flow at minimum cost. Global with a support solves every deletion afresh; -// T1 sets up again for the same design under each deletion; Pinned replays the same program under +// T1 sets up again for the same design under each deletion, T2 redoes its sizing, count selection +// and objectives; Pinned replays the same program under // each deletion (a fixed-route failure question). // CostOnly skips a deletion when no roster source's reachable part of the static shortest-path // support contains the edge: no route uses it, so loss is 0. All other deletions use a fresh diff --git a/include/netgraph/core/flow_policy.hpp b/include/netgraph/core/flow_policy.hpp index 438bd2f..621a0ba 100644 --- a/include/netgraph/core/flow_policy.hpp +++ b/include/netgraph/core/flow_policy.hpp @@ -27,8 +27,8 @@ class FrozenTally; } // namespace detail // The tunnel count of the tunnel models, per head: `count` in [1, 10000] (checked where a policy -// or an evaluator uses it); `up_to` (T2 only; T1 rejects it): the smallest sufficient count up to -// `count`. +// or an evaluator uses it); `up_to` (T2 only; T1 rejects it): one common count k in 1..count for +// every head, the smallest sufficient one. struct Tunnels { std::int64_t count {1}; bool up_to {false}; @@ -61,6 +61,20 @@ struct Tunnels { // call's request (placed_demand() + volume: what an earlier call could not place is not // requested again). Its program: the solved flow cut into paths per source, each path a tunnel // weighted by its amount. +// Global with `tunnels` (T2; `support` must then be absent): a controller lays out, for every live +// roster head (one reaching an allowed destination over links with free capacity V >= 1, V the +// residual with this policy's own traffic released; the other heads are dead: they keep their +// roster position and lose their share), k single-path tunnels with one common whole-unit planned +// bandwidth: first the largest common size U (quota flows of K = a k path units, a live heads), +// then for a finite design D the working size u = min(U, max(1, max live ceil(RR(D, H, i) / k))) +// (unlimited: U), then the cheapest routes (the route-cost sum J), then with prefer_headroom +// the smallest headroom penalty (each tunnel on a link pays floor(2^32 (B - V + j u) / B) for its +// slot j, B the static capacity), then one fixed unit-by-unit augmentation (fewest arcs, then the +// smallest arc keys). k = tunnels.count, or with up_to the smallest count in 1..count whose +// program carries the live part of D (else the best, then the smallest count). U = 0 with live +// heads, or no live head, gives a program without tunnels that keeps the roster. Forwarding is +// the program's: round robin over the heads, then over a head's tunnels. Its program: the +// tunnels (index j * H + i, weight 1, planned u); the plan names U, u, s* and the objectives. // Pinned: forwarding over a given program, computing nothing; the program's endpoints are the // policy's. Its Eligibility repairs failures (a tunnel touching an excluded element is Failed, a // split route loses its excluded members, the roster is rebuilt from the program's basis); the @@ -74,6 +88,8 @@ struct CapacityAware { }; struct Global { std::shared_ptr support {}; + std::optional tunnels {}; + bool prefer_headroom {false}; }; struct Pinned { std::shared_ptr program {}; @@ -84,10 +100,13 @@ using Routing = std::variant; // One demand's settings. A field that does not apply to the routing mode stays absent; a policy // or an evaluator checks the combination when it uses the configuration (the fields remain // assignable), in this order: the enumeration values, then the model's row of the matrix below -// (T1: an "up to" count first, it is not T1's row), its columns left to right (placement, origin, -// admission, selection, weights with edge_weights), then the DagCache, then T1's own parameters -// (the tunnel count, max_path_cost, min_unreserved_bandwidth), then edge_weights' length and -// entries, then the roster and count rules (the pooled single-path rule, T1's tunnel limit). +// (Global: any selection first, then support and tunnels together, they decide the row, then +// prefer_headroom without tunnels; T1: an "up to" count, it is not T1's row), its columns left to +// right (placement, origin, admission, selection, weights with +// edge_weights), then the DagCache, then the tunnel models' own parameters (the tunnel count; T1's +// max_path_cost and min_unreserved_bandwidth), then edge_weights' length and entries, then the +// roster and count rules (the pooled single-path rule, T2's several-sources rule, the tunnel +// limit). // // | routing | placement | origin (default / allowed) | admission | selection | weights | // | CostOnly | EqualBalanced | Equal / Equal | Lossless, Lossy | all four fields | none | @@ -95,6 +114,7 @@ using Routing = std::variant; // | CostOnly | MaxFlow | Optimized / both | Lossless | all four fields | none | // | Global | none | Optimized / both | Lossless | none | none | // | T1: CapacityAware | none | Equal / Equal | Lossless, Lossy | tie_break, priority, multi_edge | none | +// | T2: Global tunnels| none | Equal / Equal; Optimized with one source | Lossless, Lossy | none | none | // | Pinned | none | none (the program has it) | Lossless, Lossy | none | none | // // An absent origin resolves to the default and an absent selection to PathSelection() in the @@ -102,10 +122,15 @@ using Routing = std::variant; // CostOnly reads a DagCache; another model rejects one. edge_weights (one integer per edge in // [0, 2^62), shared by every configuration copied from this one) is given exactly when weights is // Explicit. T1 rejects multipath = true (a tunnel is one path; absent and false are accepted). +// Every Global, with or without tunnels, rejects any selection: T2's headroom objective is the +// model's prefer_headroom (true needs tunnels), and a selection's priority never enables a +// controller objective. // Pooled single-path rule: CostOnly with more than one input source (normalized, before any // Eligibility) rejects multipath = false together with PreferHigherPriority, whose bottleneck -// choice would differ per source at a shared router. T1's tunnel limit: roster heads times the -// tunnel count at most 2^30 - 1. +// choice would differ per source at a shared router. T2 with the optimized origin takes one input +// source (normalized, before any Eligibility): it is the same calculation as the equal origin. The +// tunnel limit (T1, T2): roster heads times the tunnel count (the largest count for up_to) at +// most 2^30 - 1. struct FlowPolicyConfig { Routing routing {CostOnly {}}; std::optional placement {}; @@ -169,15 +194,30 @@ struct TunnelFlow { friend bool operator==(const TunnelFlow&, const TunnelFlow&) = default; }; -// The tunnel models' setup summary (PlacementResult::plan): count (the tunnels per head), -// design_demand (nullopt: unlimited), head_design ((head, RR(D, H, i)) for every roster head in -// ascending NodeId; empty for an unlimited design) and reserved_total (T1's strict holds, counted -// once per up tunnel: the sum of their requests). +// The tunnel models' setup summary (PlacementResult::plan): count (the tunnels per head; T2 up +// to: the chosen count), design_demand (nullopt: unlimited), head_design ((head, RR(D, H, i)) for +// every roster head in ascending NodeId; empty for an unlimited design) and reserved_total (T1's +// strict holds, counted once per up tunnel: the sum of their requests; 0 for T2). T2 only (nullopt +// for T1): live_heads (ascending), insufficient_resolution (live heads exist but U = 0: the program +// has no tunnels), fluid_share (the exact fluid optimum s* as a reduced fraction (numerator, +// denominator); 0 / 1 without a live head), common_share (U), planned_per_tunnel (u), +// planned_total (K u), route_cost (J, below 2^92), headroom_penalty (Phi, below 2^94; with +// prefer_headroom only) and forwarding_bound (F: the program's lossless maximum on the call's view, a +// dead head's share blocking). struct TunnelPlan { std::int64_t count {0}; std::optional design_demand {}; std::vector> head_design {}; Amount reserved_total {0}; + std::optional> live_heads {}; + std::optional insufficient_resolution {}; + std::optional> fluid_share {}; + std::optional common_share {}; + std::optional planned_per_tunnel {}; + std::optional planned_total {}; + std::optional route_cost {}; + std::optional headroom_penalty {}; + std::optional forwarding_bound {}; friend bool operator==(const TunnelPlan&, const TunnelPlan&) = default; }; @@ -191,12 +231,13 @@ struct TunnelPlan { // an entry are equal): routes_changed the ordered heads, paths, split tables and duplicates; // weights_changed the injection (the source weights) and every entry and split-table weight (an // absent entry weighs 0); reservations_changed every tunnel's requested and reserved amounts by -// index (an absent tunnel holds (0, 0); only T1 sets it). An offer-only change to a program that +// index (an absent tunnel holds (0, 0); only T1 sets it: T2's planned bandwidth is no +// reservation). An offer-only change to a program that // is not recomputed (forward, Pinned, CostOnly increments) sets none of them; a controller's // re-solve that changes a path's amount is a weight change; an identical replace sets none. // State: program (the installed program after the call; evaluate: the computed one; null before -// the epoch's first preparation), plan (T1: the setup of that program; nullopt for every other -// model, Pinned over a T1 program too), requested (the sum of the requests; +// the epoch's first preparation), plan (T1 and T2: the setup of that program; nullopt for every +// other model, Pinned over a tunnel program too), requested (the sum of the requests; // nullopt after +inf), offered (Lossy only: the traffic actually sent; the first-hop injection of a // Lossy +inf), admitted (Lossless: the total carried; Lossy: offered), delivered, unadmitted // (Lossless: requested - delivered, nullopt after +inf; Lossy: 0), source_loss and drops (per @@ -263,17 +304,18 @@ struct PlacementResult { // the largest total whose round-robin supplies are all carried. Pinned forwards its program the // same way (Lossless: the largest total in [admitted, admitted + volume]; Lossy: the round-robin // or captured-weight increments of the injection, each head splitting its increment afresh). -// T1 has no place (rejected, also for 0). +// T1 and T2 have no place (rejected, also for 0). // evaluate(offer, design_demand) is a full, independent computation and forwarding of the offer // from the policy's own released view (the residual plus its own carried load; T1 sets up on the // unreserved capacity with its own holds released): it publishes nothing, creates no record and // leaves the epoch as it was. replace(offer, design_demand) is the same, published atomically: the // old records and holds are retired, new ones created, and a new epoch starts at this offer -// (delivery may go down). design_demand (T1 only; every other model rejects it): absent means D = -// offer, an inner nullopt +inf; T1 needs a finite D. forward(offer, black_holes) forwards a full +// (delivery may go down). design_demand (T1 and T2; every other model rejects it): absent means D +// = offer, an inner nullopt +inf; T1 needs a finite D, T2 takes an unlimited one (u = U). T2 lays +// out its tunnels on the residual with its own traffic released. forward(offer, black_holes) forwards a full // new offer over the installed program with no route computation and no setup (Lossless: the // fixed program's lossless bound; Lossy: the offer's injections) on the released view, starts a -// new epoch like replace, and keeps the program and T1's holds; with black_holes, the nodes and +// new epoch like replace, and keeps the program, its plan and T1's holds; with black_holes, the nodes and // edges it excludes are black holes for that call. A Lossy replace, forward or evaluate needs a // finite offer; a Lossy +inf is CostOnly place's first-hop experiment only. remove() releases // every policy flow and hold, retires their ids, clears the program and starts a new epoch: the @@ -284,11 +326,11 @@ struct PlacementResult { // Validation (std::invalid_argument, before anything binds), in this order: the endpoint sets // (non-empty, ids in range, disjoint), the ownership of the Eligibility, the program, the support, // the DagCache and the black holes by the ledger's graph, the configuration (FlowPolicyConfig's -// order), then the roster and count rules (the pooled single-path rule; T1's tunnel limit; a -// Pinned program's endpoints equal to the policy's). A call validates the operation for the model -// (T1's place), an installed program (forward), the request ([0, 2^62) units or +inf), a Lossy -// full offer's finiteness, the design demand (the model accepts one, [0, 2^62) or +inf, T1 -// finite), a finite place after +inf in the epoch (rejected, also 0) and the black holes' graph +// order), then the roster and count rules (the pooled single-path rule; T2's several-sources +// rule; the tunnel limit; a Pinned program's endpoints equal to the policy's). A call validates the +// operation for the model (T1's and T2's place), an installed program (forward), the request ([0, +// 2^62) units or +inf), a Lossy full offer's finiteness, the design demand (the model accepts one, +// [0, 2^62) or +inf, T1 finite), a finite place after +inf in the epoch (rejected, also 0) and the black holes' graph // (forward) before any change. A solve of the flow core (Global, CostOnly MaxFlow, a MaxFlow flow) whose // network exceeds the core's int32 numbering throws std::invalid_argument, and the call changes // nothing: more than INT32_MAX - 2 nodes, or more than 2^30 - 1 edges, sources and destinations @@ -299,7 +341,7 @@ struct PlacementResult { // Lifetime: the ledger, the Eligibility and the DagCache outlive the policy (the policy holds // pointers to them); a Pinned policy shares its program and black holes. The roster (the eligible // sources that statically reach an allowed destination, over allowed edges whatever their -// capacity, T1's heads; Pinned: the program's roster heads that reach an allowed destination over +// capacity, the tunnel models' heads; Pinned: the program's roster heads that reach an allowed destination over // its basis under the Eligibility) is fixed at construction. class FlowPolicy { public: diff --git a/include/netgraph/core/flow_record.hpp b/include/netgraph/core/flow_record.hpp index 256833c..27dd4a8 100644 --- a/include/netgraph/core/flow_record.hpp +++ b/include/netgraph/core/flow_record.hpp @@ -39,7 +39,7 @@ struct Counter128 { // A snapshot of one ledger flow, returned by records() or record(id). `bundle` is its route // structure; `route_cost` is the minimum walk cost from its sources to its destinations over // that bundle, or kUnreachable if none exists. `entry` is the program entry the record carries -// (T1 and Pinned: one record per entry, the entry identifier of its program); absent for the +// (T1, T2 and Pinned: one record per entry, the entry identifier of its program); absent for the // records kept per roster source (CostOnly, Global). Lossy records alone have `offered`: the // cumulative amount submitted to this flow before any drops. `edges` (carried load), `drops` and // `reserved_edges` (the strict holds of an up T1 tunnel: its request on every link of its path) diff --git a/include/netgraph/core/options.hpp b/include/netgraph/core/options.hpp index 12172cf..7ea7c2b 100644 --- a/include/netgraph/core/options.hpp +++ b/include/netgraph/core/options.hpp @@ -41,7 +41,8 @@ enum class EdgeTieBreak { Deterministic, PreferHigherPriority }; // units; Headroom is the exact ratio residual / capacity, 0 on an edge of capacity 0. Without a // supplied residual, a search reads the static capacity as the unused capacity: Residual and // Capacity read the capacity, Headroom 1 (0 on an edge of capacity 0). T1's CSPF reads the -// unreserved view U: Residual U, Headroom U / C, Capacity C. +// unreserved view U: Residual U, Headroom U / C, Capacity C. It is a search and T1 comparison +// only and never enables a controller objective (T2's is Global::prefer_headroom). enum class EdgePriority { Residual, Capacity, Headroom }; // `multipath`: absent (the default) is the model's natural shape, all equal-cost walks as a diff --git a/include/netgraph/core/program.hpp b/include/netgraph/core/program.hpp index e3e8d0c..cdc6778 100644 --- a/include/netgraph/core/program.hpp +++ b/include/netgraph/core/program.hpp @@ -32,15 +32,17 @@ struct ProgramBlock; // one or enters one). enum class TunnelStatus { Up, NoBandwidth, CostCeiling, Failed, Blackholed }; -// One tunnel (a path entry) of a program. index: the entry identifier (T1: j * H + i for round j -// and roster position i; Global and CostOnly MaxFlow: the path's position in the decomposition -// order; supplied routes: the route's position in the list), never a position in tunnels(); +// One tunnel (a path entry) of a program. index: the entry identifier (T1 and T2: j * H + i for +// round j and roster position i, T2's dead heads leaving holes; Global and CostOnly MaxFlow: the +// path's position in the decomposition order; supplied routes: the route's position in the list), +// never a position in tunnels(); // local_index: its position among its head's entries of both kinds in ascending index; // destination: where its path ends; edges in path order; route_cost: the sum of their costs (all // three absent for a tunnel that is down); status: Up, NoBandwidth or CostCeiling; requested and // reserved: T1's strict bandwidth (its request, and the request held on every link of its path -// when it is up, else 0; 0 for the other models); weight: its integer share among the head's -// entries (T1: 1 up, 0 down; a controller path: its solved amount). +// when it is up, else 0; 0 for the other models); planned: T2's planned bandwidth u (metadata, +// never held; 0 for the other models); weight: its integer share among the head's entries (T1: +// 1 up, 0 down; T2: 1; a controller path: its solved amount). struct Tunnel { std::int32_t index {0}; NodeId head {0}; @@ -51,6 +53,7 @@ struct Tunnel { TunnelStatus status {TunnelStatus::Up}; Amount requested {0}; Amount reserved {0}; + Amount planned {0}; Amount weight {0}; friend bool operator==(const Tunnel&, const Tunnel&) = default; }; @@ -78,8 +81,8 @@ struct RouteOptions { // An immutable value: one demand's sources and destinations (normalized sets), its entries and // its injection rule. Entries are tunnels (listed in tunnels(), ascending index) and split routes // (a DAG with per-router split tables; not listed). Injection: equal sources (round robin over the -// roster: the sources with an entry, or for T1 the policy's roster, heads without an up tunnel -// included) or captured source weights (source_weights(): highest +// roster: the sources with an entry, or for T1 and T2 the policy's roster, heads without an up +// tunnel included) or captured source weights (source_weights(): highest // averages over every roster source's saved supply, zero included); then each head splits its // share by highest averages over its entries' weights. Identical routes are never merged. // A program also keeps what a replay under a failure rebuilds its roster from (its basis: the diff --git a/python/netgraph_core/__init__.py b/python/netgraph_core/__init__.py index d522a91..edc5bbd 100644 --- a/python/netgraph_core/__init__.py +++ b/python/netgraph_core/__init__.py @@ -12,9 +12,9 @@ - Forwarding programs: ``ForwardingProgram`` (with its ``Tunnel`` entries and ``ForwardingProgram.from_routes`` over ``Route`` values), ``TunnelStatus``. - The policy engine: ``FlowPolicy``, ``FlowPolicyConfig``, the routings ``CostOnly``, - ``CapacityAware`` (T1, with ``Tunnels``), ``Global``, ``Pinned``, and ``PlacementResult`` - (with its ``SourceFlow`` and ``TunnelFlow`` rows and its ``TunnelPlan``), ``OutputOptions``, - ``Termination``. + ``CapacityAware`` (T1, with ``Tunnels``), ``Global`` (with ``tunnels``: T2), ``Pinned``, and + ``PlacementResult`` (with its ``SourceFlow`` and ``TunnelFlow`` rows and its ``TunnelPlan``), + ``OutputOptions``, ``Termination``. - The shortest-path cache: ``DagCache`` (building and frozen modes), ``DagCacheMiss``. - The evaluators: ``capacity``, ``batch_capacity``, ``sensitivity``. - The searches: ``spf`` (``Direction``, ``SpfOptions``, ``SpfResult``, ``UNREACHABLE``), diff --git a/python/netgraph_core/__init__.pyi b/python/netgraph_core/__init__.pyi index 39978ae..58e1e14 100644 --- a/python/netgraph_core/__init__.pyi +++ b/python/netgraph_core/__init__.pyi @@ -13,9 +13,9 @@ to this file (``py.typed`` marks the package as typed). - Forwarding programs: ``ForwardingProgram`` (with its ``Tunnel`` entries and ``ForwardingProgram.from_routes`` over ``Route`` values), ``TunnelStatus``. - The policy engine: ``FlowPolicy``, ``FlowPolicyConfig``, the routings ``CostOnly``, - ``CapacityAware`` (T1, with ``Tunnels``), ``Global``, ``Pinned``, and ``PlacementResult`` - (with its ``SourceFlow`` and ``TunnelFlow`` rows and its ``TunnelPlan``), ``OutputOptions``, - ``Termination``. + ``CapacityAware`` (T1, with ``Tunnels``), ``Global`` (with ``tunnels``: T2), ``Pinned``, and + ``PlacementResult`` (with its ``SourceFlow`` and ``TunnelFlow`` rows and its ``TunnelPlan``), + ``OutputOptions``, ``Termination``. - The shortest-path cache: ``DagCache`` (building and frozen modes), ``DagCacheMiss``. - The evaluators: ``capacity``, ``batch_capacity``, ``sensitivity``. - The searches: ``spf`` (``Direction``, ``SpfOptions``, ``SpfResult``, ``UNREACHABLE``), @@ -26,6 +26,7 @@ to this file (``py.typed`` marks the package as typed). from __future__ import annotations import collections.abc +import fractions import typing import numpy @@ -311,7 +312,8 @@ class EdgePriority: compared exactly as a fraction, 0 on an edge of capacity 0). A search without a residual reads the static capacity as the residual: RESIDUAL and CAPACITY read the capacity, HEADROOM 1 (0 on an edge of capacity 0). T1's CSPF reads its unreserved view U instead (RESIDUAL U, HEADROOM - U / capacity). + U / capacity). A search and T1 comparison only: it never enables a controller objective + (T2's is Global(prefer_headroom)) and never chooses weights (WeightBasis does). Members: @@ -696,7 +698,7 @@ class Path: class FlowRecord: """ One flow of a ledger, as a snapshot: flow_id (ledger uid, id), owner (the policy's id), - sources, destinations, admission, entry (a T1 or Pinned policy's program entry, else None), bundle + sources, destinations, admission, entry (a T1, T2 or Pinned policy's program entry, else None), bundle (PredDAG: the flow's route), route_cost (its minimum walk cost; None when empty), offered (Lossy only, else None), delivered, edges [(EdgeId, units)] (carried load) and drops [(EdgeId, units)] (cumulative, @@ -746,7 +748,7 @@ class FlowRecord: @property def entry(self) -> int | None: """ - the program entry the record carries (T1 and Pinned: the entry identifier); None for the + the program entry the record carries (T1, T2 and Pinned: the entry identifier); None for the records kept per roster source (CostOnly, Global) """ @@ -956,15 +958,16 @@ class TunnelStatus: class Tunnel: """ - One tunnel (a path entry) of a ForwardingProgram, read-only. index: the entry identifier (T1: - j*H + i for round j and roster position i; Global and CostOnly MAX_FLOW: the path's position in - the decomposition order; supplied routes: the route's position in the list), never a position in - program.tunnels; head; local_index: its position among the head's entries of both kinds; + One tunnel (a path entry) of a ForwardingProgram, read-only. index: the entry identifier (T1 and + T2: j*H + i for round j and roster position i, T2's dead heads leaving holes; Global and CostOnly + MAX_FLOW: the path's position in the decomposition order; supplied routes: the route's position in + the list), never a position in program.tunnels; head; local_index: its position among the head's entries of both kinds; destination: where its path ends; edges: its EdgeIds in path order; route_cost: the sum of their costs (all three None for a tunnel that is down); status: UP, NO_BANDWIDTH or COST_CEILING; requested and reserved: T1's strict bandwidth (its request, and what it holds on every link of - its path: the request when UP, else 0; 0 for the other models); weight: its integer share among - the head's entries (T1: 1 up, 0 down; a controller path: its solved amount). + its path: the request when UP, else 0; 0 for the other models); planned: T2's planned bandwidth + u (metadata, never held; 0 for the other models); weight: its integer share among the head's + entries (T1: 1 up, 0 down; T2: 1; a controller path: its solved amount). """ def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... @@ -984,6 +987,8 @@ class Tunnel: @property def local_index(self) -> int: ... @property + def planned(self) -> int: ... + @property def requested(self) -> int: ... @property def reserved(self) -> int: ... @@ -1039,8 +1044,8 @@ class ForwardingProgram: captured source supplies ((source, weight) for every roster source, ascending) of the optimized controllers, None for equal sources (round robin over the roster). Each head splits its share by highest averages over its entries' weights; identical routes are never merged. CostOnly and Global - produce one (FlowPolicy.program, PlacementResult.program), and so does T1 (its tunnels); from_routes builds - one from given routes; Pinned forwards one. No public constructor. + produce one (FlowPolicy.program, PlacementResult.program), and so do T1 and T2 (their tunnels); + from_routes builds one from given routes; Pinned forwards one. No public constructor. """ def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... @@ -1241,10 +1246,10 @@ class CapacityAware: class Global: """ - Routing: an ideal central controller that sees the whole network. Every positive call re-solves - the minimum-cost flow of what the policy already delivers plus this call's request - (placed_demand() + volume; what an earlier call could not place is not requested again) over - the eligible graph, or exactly over `support` (a PredDAG of the policy's graph, trimmed to the + Routing: an ideal central controller that sees the whole network (with `tunnels`: T2, below). + Every positive call re-solves the minimum-cost flow of what the policy already delivers plus this + call's request (placed_demand() + volume; what an earlier call could not place is not requested + again) over the eligible graph, or exactly over `support` (a PredDAG of the policy's graph, trimmed to the walks from the sources to the allowed destinations under the Eligibility; every other edge carries nothing), on the free capacity plus its own allocation (it may move its own traffic, never another's). It takes no placement and no selection. Origin OPTIMIZED (the default): the @@ -1252,21 +1257,52 @@ class Global: round-robin share of the largest total whose shares all fit. Its program is the solve cut into paths per source, each a tunnel weighted by its amount. A positive call on a network beyond the flow core's int32 numbering raises ValueError (see FlowPolicy.place). + T2, Global(tunnels=Tunnels(N)) (support must be None; no selection either): a controller (like + a PCE) lays out, for every live head (one reaching a destination over links with free capacity + >= 1; the other heads are dead and lose their share), N single-path tunnels with one common + whole-unit planned bandwidth: first as large as possible (U), then for a finite design no larger + than needed (u), then the cheapest routes, then with prefer_headroom=True the routes that leave + the most spare capacity, then one fixed unit-by-unit tie. Tunnels(L, up_to=True): the smallest + common count k <= L whose program carries the design (else the best, then the smallest). + Traffic splits equally over the heads and over each head's tunnels; planned bandwidth is never + held. """ - def __init__(self, *, support: PredDAG | None = None) -> None: + def __init__( + self, + *, + support: PredDAG | None = None, + tunnels: Tunnels | None = None, + prefer_headroom: bool = False, + ) -> None: """ - Global(*, support=None): support a PredDAG of the policy's graph (checked when a policy is built - with it: `support belongs to another graph`) or None for every eligible edge + Global(*, support=None, tunnels=None, prefer_headroom=False): support a PredDAG of the policy's + graph (checked when a policy is built with it: `support belongs to another graph`) or None for + every eligible edge; tunnels a Tunnels (T2; checked when a policy is built with it: the count in + [1, 10000], and `Global support and tunnels are mutually exclusive`) or None; prefer_headroom + (T2 only; True without tunnels raises `prefer_headroom requires tunnels` when a policy is built + with it): the headroom penalty as T2's objective after route cost """ def __repr__(self) -> str: ... + @property + def prefer_headroom(self) -> bool: + """ + True: T2 minimizes the headroom penalty after route cost (T2 only) + """ + @property def support(self) -> PredDAG | None: """ the supplied support (a PredDAG), or None """ + @property + def tunnels(self) -> Tunnels | None: + """ + T2's tunnel count per head (a Tunnels), or None + """ + class Pinned: """ Routing: forwarding over a given program, computing nothing (the program's endpoints must be @@ -1301,21 +1337,23 @@ class Pinned: class FlowPolicyConfig: """ - One demand's settings: routing (CostOnly, CapacityAware (T1), Global or Pinned), placement - (FlowPlacement: required for CostOnly; the other models take none), admission (LOSSLESS by - default; LOSSY for CostOnly EQUAL_BALANCED and WEIGHTED, T1 and Pinned), selection (PathSelection; - None: PathSelection(); Global and Pinned take none; T1 reads tie_break, priority and multi_edge and - rejects multipath=True), origin (Origin; None: the model's default, EQUAL for CostOnly EQUAL_BALANCED - and WEIGHTED and for T1, OPTIMIZED for CostOnly MAX_FLOW and Global; Pinned takes none, its program - has it), weights (WeightBasis, CostOnly WEIGHTED only; None: CAPACITY) and edge_weights (one integer - per edge, given exactly when weights=EXPLICIT; one array shared by every policy built from this - configuration). A field that does not apply to the model must stay None. The combination is checked + One demand's settings: routing (CostOnly, CapacityAware (T1), Global, Global(tunnels=...) (T2) or + Pinned), placement (FlowPlacement: required for CostOnly; the other models take none), admission + (LOSSLESS by default; LOSSY for CostOnly EQUAL_BALANCED and WEIGHTED, T1, T2 and Pinned), selection + (PathSelection; None: PathSelection(); Global, T2 included, and Pinned take none; T1 reads tie_break, + priority and multi_edge and rejects multipath=True), origin (Origin; None: the model's default, EQUAL for CostOnly EQUAL_BALANCED and WEIGHTED, T1 and T2, + OPTIMIZED for CostOnly MAX_FLOW and Global; T2 takes OPTIMIZED with one input source only, the same + calculation; Pinned takes none, its program has it), weights (WeightBasis, CostOnly WEIGHTED only; + None: CAPACITY) and edge_weights (one integer per edge, given exactly when weights=EXPLICIT; one + array shared by every policy built from this configuration). A field that does not apply to the model must stay None. The combination is checked when a policy or an evaluator uses the configuration (ValueError): the enumeration values, then the - model's row (T1: an up_to count first; then placement, origin, admission, selection, weights with - edge_weights), then a DagCache (only CostOnly reads one), then T1's parameters (the tunnel count in - [1, 10000], max_path_cost, min_unreserved_bandwidth), then edge_weights' length and entries, then the - roster and count rules (CostOnly with several input sources rejects multipath=False with - PREFER_HIGHER_PRIORITY; T1's roster heads times its tunnel count at most 2^30 - 1). + model's row (Global: a selection first, then support and tunnels together, then prefer_headroom + without tunnels; T1: an up_to count; then placement, origin, + admission, selection, weights with edge_weights), then a DagCache (only CostOnly reads one), then + the tunnel models' parameters (the tunnel count in [1, 10000]; T1's max_path_cost and + min_unreserved_bandwidth), then edge_weights' length and entries, then the roster and count rules + (CostOnly with several input sources rejects multipath=False with PREFER_HIGHER_PRIORITY; T2 with + several input sources rejects OPTIMIZED; roster heads times the tunnel count at most 2^30 - 1). """ def __init__( @@ -1572,18 +1610,29 @@ class TunnelFlow: class TunnelPlan: """ - The tunnel models' setup summary (read-only): count (the tunnels per head), design_demand - (the design volume D in units), head_design ((head, RR(D, H, i)) for every roster head in - ascending NodeId) and reserved_total (T1's strict holds, counted once per up tunnel: the sum - of their requests). Exact ints. + The tunnel models' setup summary (read-only): count (the tunnels per head; T2 up to: the + chosen count), design_demand (the design volume D in units), head_design ((head, RR(D, H, i)) + for every roster head in ascending NodeId) and reserved_total (T1's strict holds, counted once + per up tunnel: the sum of their requests; 0 for T2). T2 only (None for T1): live_heads, + insufficient_resolution (live heads exist but no whole unit per tunnel fits, U == 0: the + program has no tunnels), fluid_share (the exact fluid optimum s*, a Fraction), common_share + (U), planned_per_tunnel (u), planned_total (K*u), route_cost (the route-cost sum, can exceed + 2^64), headroom_penalty (with prefer_headroom only) and forwarding_bound (the program's + lossless maximum; a dead head's share blocks it). Exact ints. """ def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... def __repr__(self) -> str: ... + @property + def common_share(self) -> int | None: + """ + T2: U, the largest common whole-unit size + """ + @property def count(self) -> int: """ - the tunnels per head + the tunnels per head (T2 up to: the chosen count) """ @property @@ -1592,18 +1641,67 @@ class TunnelPlan: the design volume D in units; float('inf') when unlimited """ + @property + def fluid_share(self) -> fractions.Fraction | None: + """ + T2: the exact fluid optimum s* (a fractions.Fraction; 0 without a live head); None for T1 + """ + + @property + def forwarding_bound(self) -> int | None: + """ + T2: F, the program's lossless maximum on the call's view (a dead head's share blocks it) + """ + @property def head_design(self) -> tuple[tuple[int, int], ...]: """ ((head, share), ...): every roster head's share RR(D, H, i), ascending NodeId """ + @property + def headroom_penalty(self) -> int | None: + """ + T2 with prefer_headroom: the sum over the links' tunnel slots j of floor(2^32 (B - V + j*u) / B) + (B: static capacity; V: free capacity); None without prefer_headroom and for T1 + """ + + @property + def insufficient_resolution(self) -> bool | None: + """ + T2: True when live heads exist but no whole unit per tunnel fits (common_share 0, no tunnels) + """ + + @property + def live_heads(self) -> tuple[int, ...] | None: + """ + T2: the heads that reach a destination over links with free capacity >= 1 (ascending); None for T1 + """ + + @property + def planned_per_tunnel(self) -> int | None: + """ + T2: u, every tunnel's planned bandwidth + """ + + @property + def planned_total(self) -> int | None: + """ + T2: K*u over the K tunnels + """ + @property def reserved_total(self) -> int: """ the strict holds of the up tunnels, each tunnel's request counted once """ + @property + def route_cost(self) -> int | None: + """ + T2: the sum of cost * tunnel count over the links (exact; can exceed 2^64) + """ + class PlacementResult: """ The result of one call. This call: placed (units delivered by the call; replace, forward and @@ -1611,8 +1709,8 @@ class PlacementResult: request), delivery_delta (new minus old delivery, may be negative), call_drops [(EdgeId, units)], call_source_loss, termination, routes_changed, weights_changed and reservations_changed. The demand's state after the call (totals of the epoch): program (the installed ForwardingProgram; - evaluate: the computed one; None before the first preparation), plan (a TunnelPlan for T1; None for - every other model), requested (float('inf') after an infinite request), offered (LOSSY: the traffic sent; None when LOSSLESS), admitted, delivered, unadmitted + evaluate: the computed one; None before the first preparation), plan (a TunnelPlan for T1 and T2; + None for every other model), requested (float('inf') after an infinite request), offered (LOSSY: the traffic sent; None when LOSSLESS), admitted, delivered, unadmitted (LOSSLESS: requested - delivered, None after an infinite request; LOSSY: 0), source_loss, drops [(EdgeId, units)], by_source (one SourceFlow per normalized input source, ascending NodeId), by_tunnel (one TunnelFlow per program tunnel, ascending index; an alternative view, never added to @@ -1726,8 +1824,8 @@ class PlacementResult: @property def plan(self) -> TunnelPlan | None: """ - T1: the TunnelPlan of the program after the call; None for every other model (Pinned over a T1 - program too) + T1 and T2: the TunnelPlan of the program after the call; None for every other model (Pinned over + a tunnel program too) """ @property @@ -1794,7 +1892,7 @@ class PlacementResult: def total_cost(self) -> int | None: """ controllers (Global, CostOnly MAX_FLOW): the exact sum of cost * flow over the policy's - allocation; None for the other models (T1, Pinned) + allocation; None for the other models (T1, T2, Pinned) """ @property @@ -1935,14 +2033,15 @@ class FlowPolicy: routing reads it, another model rejects it) belong to the ledger's graph; the policy keeps the ledger, elig and cache alive (a Pinned policy shares its program and black holes). The roster (the sources that statically reach an allowed destination, over allowed edges whatever their - capacity, T1's heads; Pinned: the program's heads that reach an allowed destination over its basis + capacity, the tunnel models' heads; Pinned: the program's heads that reach an allowed destination over its basis under elig) is fixed here. Everything is validated before the policy binds, in this order: the endpoints, the graph of elig, the program, the support, the cache and the black holes (`foreign Eligibility: built for another graph`, `program belongs to another graph`, `support belongs to another graph`, `foreign DagCache: bound to another graph`, `black_holes belongs to another graph`), the - configuration (FlowPolicyConfig's order), then the pooled single-path rule, T1's tunnel limit - (`tunnel limit exceeded: heads x tunnels > 1073741823`) and a Pinned program's endpoints - (`program endpoints do not match policy endpoints`). + configuration (FlowPolicyConfig's order), then the pooled single-path rule, T2's several-sources + rule (`T2 with several sources requires origin=EQUAL`), the tunnel limit (`tunnel limit exceeded: + heads x tunnels > 1073741823`) and a Pinned program's endpoints (`program endpoints do not + match policy endpoints`). """ def evaluate( @@ -1955,7 +2054,7 @@ class FlowPolicy: """ A full, independent computation and forwarding of offer (int units or float('inf')) from the policy's own released view (the residual plus its own carried load; T1 sets up on the unreserved - capacity with its own holds released), as replace would do it -> PlacementResult (the computed + capacity with its own holds released; T2 lays out on the released residual), as replace would do it -> PlacementResult (the computed program and plan, the flags replace would set, the outputs of the evaluated state); publishes nothing, creates no record, books no hold and leaves the epoch as it was. design_demand as for replace. LOSSY requires a finite offer. @@ -1970,8 +2069,8 @@ class FlowPolicy: ) -> PlacementResult: """ Forward a full new offer over the installed program, with no route computation and no setup, on the - released view -> PlacementResult; a new epoch like replace, the program and T1's holds kept (no - flag; T1's records are recreated with the same reserved_edges). LOSSLESS admits the + released view -> PlacementResult; a new epoch like replace, the program, its plan and T1's holds + kept (no flag; T1's records are recreated with the same reserved_edges). LOSSLESS admits the program's lossless bound up to the offer; LOSSY sends the offer. black_holes (an Eligibility of the graph): the nodes and edges it excludes are black holes for this call (stale forwarding: traffic reaching one is dropped there; a black-holed source loses its share). In this order: Pinned raises @@ -1986,8 +2085,8 @@ class FlowPolicy: outputs: OutputOptions | None = None, ) -> PlacementResult: """ - Place volume (int units in [0, 2^62), or float('inf')) all or nothing -> PlacementResult. T1 raises - `T1 does not support incremental placement` (also for 0). + Place volume (int units in [0, 2^62), or float('inf')) all or nothing -> PlacementResult. T1 and T2 + raise ` does not support incremental placement` (also for 0). Requests add up within an epoch (from construction, the last remove(), replace() or forward()); after float('inf') any finite request is rejected, 0 included. A request of 0 places nothing and reports the current state. CostOnly prepares its program at the epoch's first positive request; @@ -2040,10 +2139,12 @@ class FlowPolicy: PlacementResult: the old records and holds are retired (their ids never live again), new ones created, and a new epoch starts at this offer (delivery may go down: delivery_delta). CostOnly prepares its routes again; a controller re-solves; T1 sets its tunnels up again for the design and - books their holds; Pinned forwards its program. design_demand (T1 only: int units, or - float('inf'), which T1 rejects; None: equal to the offer): T1 needs a finite design (`T1 requires a - finite design demand`); every other model raises ` does not accept design_demand`. In this - order: the offer, LOSSY's finite offer, then the design demand (the model, its domain, finiteness). + books their holds; T2 lays its tunnels out again for the design (planned bandwidth, never held); + Pinned forwards its program. design_demand (T1 and T2: int units, or float('inf'); None: equal to + the offer): T1 needs a finite design (`T1 requires a finite design demand`), T2 takes an unlimited + one (its largest common size); every other model raises ` does not accept design_demand`. + In this order: the offer, LOSSY's finite offer, then the design demand (the model, its domain, + finiteness). """ @property @@ -2065,12 +2166,13 @@ class QueryOptions: the static Eligibility (None: all allowed), the DagCache (None: private per worker), the optional outputs of each result (sensitivity: of its baseline), design_demand (int units or float('inf'); None: absent): T1's design, always required and finite (`T1 capacity requires - design_demand`, `T1 requires a finite design demand`), rejected by every other model - (` does not accept design_demand`), and offered (int units or float('inf'); None: - absent), the offer of a T1 or Pinned LOSSY evaluation: required and finite there (` LOSSY capacity requires finite offered`); a LOSSLESS model rejects it (` - LOSSLESS capacity does not accept offered`), CostOnly LOSSY too (`CostOnly LOSSY capacity - uses first-hop injection`). + design_demand`, `T1 requires a finite design demand`); T2's design (None: unlimited when + LOSSLESS, the offered amount when LOSSY); rejected by every other model (` does not + accept design_demand`); and offered (int units or float('inf'); None: absent), the offer of a + T1, T2 or Pinned LOSSY evaluation: required and finite there (` LOSSY + capacity requires finite offered`; T2 takes a finite design instead when offered is None); a + LOSSLESS model rejects it (` LOSSLESS capacity does not accept offered`), CostOnly LOSSY + too (`CostOnly LOSSY capacity uses first-hop injection`). """ def __init__( @@ -2098,7 +2200,7 @@ class QueryOptions: @property def design_demand(self) -> int | float | None: """ - T1's design volume (int units, or float('inf')); None: absent + the tunnel models' design volume (int units, or float('inf')); None: absent """ @property @@ -2110,7 +2212,7 @@ class QueryOptions: @property def offered(self) -> int | float | None: """ - the offer of a T1 or Pinned LOSSY evaluation (int units, or float('inf')); None: absent + the offer of a T1, T2 or Pinned LOSSY evaluation (int units, or float('inf')); None: absent """ @property @@ -2373,7 +2475,9 @@ def capacity( """ place(+inf) of a FlowPolicy with opts.config on a fresh ledger of the graph (Pinned LOSSY: place(opts.offered); T1: evaluate(+inf or opts.offered, design_demand=opts.design_demand), the - lossless bound of the tunnels set up for the design, or what they deliver of offered) -> PlacementResult. + lossless bound of the tunnels set up for the design, or what they deliver of offered; T2: the same + with an unlimited design when LOSSLESS and none is given, and the design as the offer when LOSSY + without offered) -> PlacementResult. The exact maximum flow is Global() (the optimized origin); with origin=EQUAL, the largest total whose round-robin source shares are all carried. A supplied frozen cache raises DagCacheMiss for an absent key, unchanged. diff --git a/src/evaluators.cpp b/src/evaluators.cpp index c537a5b..8b83ab8 100644 --- a/src/evaluators.cpp +++ b/src/evaluators.cpp @@ -1,13 +1,14 @@ /* - capacity() is place(+inf) on a fresh ledger (Pinned Lossy: place(offered); T1: evaluate of its - design, with +inf or the offered amount). batch_capacity() + capacity() is place(+inf) on a fresh ledger (Pinned Lossy: place(offered); T1 and T2: evaluate + of the design, with +inf or the offered amount). batch_capacity() runs it per pair and sensitivity() per candidate deletion on `workers` threads; results follow input order and the lowest failing index supplies the exception. Unrestricted Global with the optimized origin repairs the baseline flow after each deletion. CostOnly skips an edge that no roster source's reachable part of the static shortest-path support contains: removing it changes no route or amount. Other deletions (the equal origin of Global among them: a deletion - can raise its maximum; Global with a support; Pinned, which replays its program under each - deletion) use fresh ledgers. Only CostOnly reads a DagCache. + can raise its maximum; Global with a support; T1 and T2, which set up or lay out again; Pinned, + which replays its program under each deletion) use fresh ledgers. Only CostOnly reads a + DagCache. */ #include "netgraph/core/evaluators.hpp" @@ -39,11 +40,11 @@ std::shared_ptr borrowed(const Graph& g) { return std::shared_ptr(std::shared_ptr {}, &g); } -// The call an evaluator makes on its fresh policy (12.1): place(offer), or for T1 evaluate(offer, -// design) (`full`). +// The call an evaluator makes on its fresh policy (12.1): place(offer), or for T1 and T2 +// evaluate(offer, design) (`full`; design absent: the offer). struct EvaluatorCall { - std::optional offer {}; - std::optional design {}; + std::optional offer {}; // nullopt: +inf + std::optional design {}; // the tunnel models' design D (nullopt: unlimited) bool full {false}; }; @@ -60,23 +61,35 @@ EvaluatorCall evaluator_call(const FlowPolicyConfig& cfg, const std::optional(r); + const auto* gl = std::get_if(&r); + const bool t2 = gl != nullptr && gl->tunnels.has_value(); EvaluatorCall call; - if (design.has_value() && !t1) throw std::invalid_argument(model + " does not accept design_demand"); + if (design.has_value() && !t1 && !t2) throw std::invalid_argument(model + " does not accept design_demand"); if (t1) { if (!design.has_value()) throw std::invalid_argument("T1 capacity requires design_demand"); if (!design->has_value()) throw std::invalid_argument("T1 requires a finite design demand"); - call.design = *design; + } + // T2: the design as given; absent, unlimited (Lossless) or the offer (Lossy). + if (t1 || t2) { + call.design = design.has_value() ? *design : std::optional {}; call.full = true; } if (cfg.admission == Admission::Lossless) { if (offered.has_value()) throw std::invalid_argument(model + " LOSSLESS capacity does not accept offered"); return call; } - if (t1 || std::holds_alternative(r)) { + if (t2 && !offered.has_value()) { + // No offered: the design if finite (an explicit +inf is rejected below). + if (!call.design.has_value()) throw std::invalid_argument("T2 LOSSY capacity requires finite offered"); + call.offer = call.design; + return call; + } + if (t1 || t2 || std::holds_alternative(r)) { if (!offered.has_value() || !offered->has_value()) { throw std::invalid_argument(model + " LOSSY capacity requires finite offered"); } call.offer = *offered; + if (t2 && !design.has_value()) call.design = call.offer; return call; } if (offered.has_value()) throw std::invalid_argument("CostOnly LOSSY capacity uses first-hop injection"); @@ -85,7 +98,7 @@ EvaluatorCall evaluator_call(const FlowPolicyConfig& cfg, const std::optional>(std::in_place, call.design), outputs); return policy.place(call.offer, outputs); } @@ -286,9 +299,10 @@ SensitivityResult sensitivity_in_call(const Graph& g, std::span so std::int32_t workers, FrozenTally& tally) { check_common(g, opts.elig, opts.cache, workers); // Unrestricted Global with the optimized origin (its default) repairs its baseline; the equal - // origin and a support cannot (every allowed deletion is solved afresh). + // origin, a support and T2 cannot (every allowed deletion is solved afresh). const auto* global_routing = std::get_if(&opts.config.routing); - const bool global = global_routing != nullptr && !global_routing->support && opts.config.origin != Origin::Equal; + const bool global = global_routing != nullptr && !global_routing->support && !global_routing->tunnels.has_value() && + opts.config.origin != Origin::Equal; const bool cost_only = std::holds_alternative(opts.config.routing); SensitivityResult out; std::vector on_route; // CostOnly: the baseline's reachable support diff --git a/src/flow_core.cpp b/src/flow_core.cpp index 0eff2b0..13ab835 100644 --- a/src/flow_core.cpp +++ b/src/flow_core.cpp @@ -903,9 +903,12 @@ FlowCoreResult place_global_units(const Graph& g, return out; } -SubsetFlow solve_subset(const Graph& g, std::span edges, std::span caps, - std::span sources, std::span destinations, - std::optional cap, std::span source_caps) { +namespace { + +// solve_subset's body; `by_cost` false takes every arc's cost as 0 (max_flow_subset). +SubsetFlow subset_flow(const Graph& g, std::span edges, std::span caps, + std::span sources, std::span destinations, std::optional cap, + std::span source_caps, bool by_cost) { SubsetFlow out; out.flows.assign(edges.size(), 0); if (cap.has_value() && *cap == 0) return out; @@ -930,7 +933,7 @@ SubsetFlow solve_subset(const Graph& g, std::span edges, std::span const auto ei = static_cast(e); in.tail.push_back(map.add(edge_src[ei])); in.head.push_back(map.add(edge_dst[ei])); - in.cost.push_back(cost[ei]); + in.cost.push_back(by_cost ? cost[ei] : 0); } for (NodeId v : sources) in.sources.push_back(map.add(v)); in.src_cap.assign(source_caps.begin(), source_caps.end()); @@ -945,4 +948,18 @@ SubsetFlow solve_subset(const Graph& g, std::span edges, std::span return out; } +} // namespace + +SubsetFlow solve_subset(const Graph& g, std::span edges, std::span caps, + std::span sources, std::span destinations, + std::optional cap, std::span source_caps) { + return subset_flow(g, edges, caps, sources, destinations, cap, source_caps, true); +} + +Amount max_flow_subset(const Graph& g, std::span edges, std::span caps, + std::span sources, std::span destinations, Amount cap, + std::span source_caps) { + return subset_flow(g, edges, caps, sources, destinations, cap, source_caps, false).placed; +} + } // namespace netgraph::core::detail diff --git a/src/flow_policy.cpp b/src/flow_policy.cpp index a24ebf1..80cb6a0 100644 --- a/src/flow_policy.cpp +++ b/src/flow_policy.cpp @@ -29,8 +29,13 @@ program the same way, with records per roster source. * T1 (place_t1): replace and evaluate set up the tunnels (tunnels_t1.cpp) on the unreserved view with the policy's own holds released, build the program of 8.1 and forward it like a Pinned - program, one record per entry, each up tunnel's record holding its request on its path; - forward() forwards the installed program the same way and keeps the holds. + program, one record per entry, each up tunnel's record holding its request on its path. + * T2 (place_t2): replace and evaluate lay out the tunnels (tunnels_t2.cpp) on the residual with + the policy's own traffic released, build the program of 8.1 (dead heads keep their roster + place), take its lossless bound as the plan's forwarding bound and forward it the same way; a + plan books nothing. + * The tunnel models' forward() (forward_tunnels) forwards the installed program the same way, + keeping its plan and T1's holds. Work on copies and publish all changes together; an exception leaves ledger and policy intact. Store only changes to ledger residual in per-thread slots. Unrestricted Global reads a dense @@ -417,14 +422,25 @@ std::span draft_records(const std::vector& draft return out; } -// Global (with or without a support), or CostOnly MaxFlow: a controller. +// T2: Global with a tunnel count. +bool is_t2(const Routing& r) noexcept { + const auto* gl = std::get_if(&r); + return gl != nullptr && gl->tunnels.has_value(); +} +bool t2(const PolicyEngine& pe) noexcept { return is_t2(pe.config.routing); } + +// The tunnel models: T1 and T2 (one record per program entry; a full-offer call is their only +// computation). +bool tunnel_model(const PolicyEngine& pe) noexcept { return is(pe) || t2(pe); } + +// Global without tunnels (with or without a support), or CostOnly MaxFlow: a controller. bool controller(const PolicyEngine& pe) noexcept { - return is(pe) || (is(pe) && *pe.config.placement == FlowPlacement::MaxFlow); + return (is(pe) && !t2(pe)) || (is(pe) && *pe.config.placement == FlowPlacement::MaxFlow); } // Unrestricted Global: the controller over every eligible edge (dense arrays, the curve, the cut). bool dense_global(const PolicyEngine& pe) noexcept { - return is(pe) && !std::get(pe.config.routing).support; + return controller(pe) && is(pe) && !std::get(pe.config.routing).support; } // ================================================================ the transaction @@ -490,19 +506,8 @@ Termination forwarding_termination(bool active, bool has_path, bool lossy, std:: // ---------------------------------------------------------------- the controllers' paths -// The flow cut into paths (4.1), source by source in ascending NodeId: while a source has supply -// left, take the smallest EdgeId sequence with positive remaining flow, stopping at the first -// destination; assign min(supply left, smallest remaining edge flow on that walk), subtract it -// from the walk, record the walk as one path. Each node's out-edge cursor only advances: -// remaining flow never increases. `edges` (ascending) are the flows' edges (empty: every edge, the -// flows per EdgeId); `rem` is aligned with them. Per source also its share (the edges and amounts -// its paths use, ascending). -struct Decomposition { - std::vector paths {}; - std::vector>> shares {}; - std::vector supplies {}; -}; - +// decompose() (program_data.hpp): each node's out-edge cursor only advances, remaining flow never +// increasing. // decompose()'s per-thread scratch: per node its cursor and its range's end (the positions of its // positive out-edges; cursor -1: none), the destination marks, its roster slot (-1: none), the // nodes whose cursor is set, the walk and a source's path pieces. A call resets what it set (also when it throws), so it costs O(the nodes @@ -517,6 +522,8 @@ struct DecomposeScratch { std::vector> acc; }; +} // namespace + Decomposition decompose(const Graph& g, std::span edges, std::vector rem, std::span roster, std::span dests) { const bool dense = edges.empty() && rem.size() == static_cast(g.num_edges()); @@ -642,6 +649,8 @@ Decomposition decompose(const Graph& g, std::span edges, std::vect return out; } +namespace { + // ---------------------------------------------------------------- CostOnly preparation // A CostOnly demand's routes for the epoch, prepared at its first positive call (or a replace) @@ -1321,7 +1330,7 @@ bool view_active(const ForwardingView& v) { // result's and the epoch's. Staged forward_entries(const PolicyEngine& pe, const Epoch& cur, Working& W, const Request& rq, const ForwardingProgram* before_program, const ForwardingView& view, bool active, bool holds, - const std::optional& plan) { + std::shared_ptr plan) { const auto& g = *pe.graph; const auto v = rq.v; const ProgramData& p = *view.data; @@ -1447,11 +1456,11 @@ Staged forward_entries(const PolicyEngine& pe, const Epoch& cur, Working& W, con out.termination = k == 0 ? Termination::NoRoute : forwarding_termination(active, p.has_path(), lossy, v, placed); set_flags(out, before_program, view.program.get(), is(pe)); out.program = view.program; - out.plan = plan; + if (plan) out.plan = *plan; out.by_tunnel = tunnel_rows(view, assigned, delivered, dropped); fill_state(pe, draft_records(s.drafts), requested, cur.infinite || !v.has_value(), offered, out, lost); s.next.program = view.program; - s.next.plan = plan; + s.next.plan = std::move(plan); s.next.by_tunnel = out.by_tunnel; s.next.requested = requested; s.next.offered = offered; @@ -1463,7 +1472,7 @@ Staged forward_entries(const PolicyEngine& pe, const Epoch& cur, Working& W, con // Pinned: forwarding its program as the policy replays it (place, evaluate, replace); no holds. Staged place_pinned(const PolicyEngine& pe, const Epoch& cur, Working& W, const Request& rq, const ForwardingProgram* before_program) { - return forward_entries(pe, cur, W, rq, before_program, pe.view, pe.active, false, std::nullopt); + return forward_entries(pe, cur, W, rq, before_program, pe.view, pe.active, false, nullptr); } // T1's setup view U: the reservation baseline minus every hold, this policy's own holds released @@ -1481,8 +1490,9 @@ std::vector reservation_view(const PolicyEngine& pe) { return U; } -// T1's design volume of a call: the explicit design, or the offer (finite: checked by check_call). -Amount t1_design(const Request& rq) noexcept { return rq.design.has_value() ? **rq.design : *rq.v; } +// The design volume of a tunnel model's call: the explicit design, or the offer (nullopt: +// unlimited; T1's is finite, checked by check_call). +std::optional design_of(const Request& rq) noexcept { return rq.design.has_value() ? *rq.design : rq.v; } // The plan of a T1 setup for the design D: the tunnel count, D, the heads' shares and the holds // of the up tunnels counted once each. @@ -1497,23 +1507,65 @@ TunnelPlan t1_plan(const PolicyEngine& pe, Amount D, const ForwardingProgram* pr return plan; } +// The tunnel models' forward(): the installed program forwarded with its plan (and the call's +// black holes), records per program entry, T1's holds kept. +Staged forward_tunnels(const PolicyEngine& pe, const Epoch& cur, Working& W, const Request& rq, + const ForwardingProgram* before_program) { + const ForwardingView view = make_view(*pe.graph, pe.epoch.program, nullptr, pe.dests_ok, rq.dark, true); + return forward_entries(pe, cur, W, rq, before_program, view, view_active(view), is(pe), pe.epoch.plan); +} + // T1: replace and evaluate set up the tunnels for the design on the unreserved view and forward -// the new program; forward() forwards the installed program with its holds (and the call's black -// holes). Records per program entry in both. +// the new program, one record per entry. Staged place_t1(const PolicyEngine& pe, const Epoch& cur, Working& W, const Request& rq, const ForwardingProgram* before_program) { const auto& g = *pe.graph; - if (rq.op == Op::Forward) { - const ForwardingView view = make_view(g, pe.epoch.program, nullptr, pe.dests_ok, rq.dark, true); - return forward_entries(pe, cur, W, rq, before_program, view, view_active(view), true, pe.epoch.plan); - } - const Amount D = t1_design(rq); + const Amount D = *design_of(rq); const auto& ca = std::get(pe.config.routing); auto tunnels = t1_setup(g, pe.elig, pe.roster, pe.dests_ok, pe.selection, ca, pe.c0, D, reservation_view(pe)); const auto program = tunnel_program(g, pe.sources, pe.destinations, pe.roster, std::move(tunnels), pe.excluded_nodes, pe.excluded_edges); const ForwardingView view = make_view(g, program, nullptr, pe.dests_ok, nullptr, true); - return forward_entries(pe, cur, W, rq, before_program, view, view_active(view), true, t1_plan(pe, D, program.get())); + return forward_entries(pe, cur, W, rq, before_program, view, view_active(view), true, + std::make_shared(t1_plan(pe, D, program.get()))); +} + +// The plan of a T2 layout (zeros without a tunnel) for the design D (nullopt: unlimited), with its +// K tunnels and its program's forwarding bound F. +TunnelPlan t2_plan(const PolicyEngine& pe, std::optional D, const T2Layout& lay, std::size_t K, Amount F) { + TunnelPlan plan; + plan.count = lay.count; + plan.design_demand = D; + if (D.has_value()) plan.head_design = head_design(pe.roster, *D); + plan.live_heads = lay.live; + plan.insufficient_resolution = !lay.live.empty() && lay.common == 0; + plan.fluid_share = std::pair {lay.fluid_num, lay.fluid_den}; + plan.common_share = lay.common; + plan.planned_per_tunnel = lay.planned; + plan.planned_total = static_cast(K) * lay.planned; + plan.route_cost = lay.route_cost; + if (std::get(pe.config.routing).prefer_headroom) plan.headroom_penalty = lay.headroom_penalty; + plan.forwarding_bound = F; + return plan; +} + +// T2: replace and evaluate lay out the tunnels for the design on the released residual and +// forward the new program, one record per entry; the plan's forwarding bound is the program's +// lossless maximum on that view. +Staged place_t2(const PolicyEngine& pe, const Epoch& cur, Working& W, const Request& rq, + const ForwardingProgram* before_program) { + const auto& g = *pe.graph; + const std::optional D = design_of(rq); + std::vector V; + W.dense(V); + const auto& gl = std::get(pe.config.routing); + auto lay = t2_layout(g, pe.elig, pe.roster, pe.dests_ok, *gl.tunnels, gl.prefer_headroom, D, V); + const auto program = tunnel_program(g, pe.sources, pe.destinations, pe.roster, std::move(lay.tunnels), + pe.excluded_nodes, pe.excluded_edges); + const ForwardingView view = make_view(g, program, nullptr, pe.dests_ok, nullptr, true); + const Amount F = detail::lossless(g, view, free_of(W), 0, std::nullopt).total; + return forward_entries(pe, cur, W, rq, before_program, view, view_active(view), false, + std::make_shared(t2_plan(pe, D, lay, program->tunnels().size(), F))); } // forward(): a computing model's installed program forwarded with no route computation, on the @@ -1616,6 +1668,7 @@ Staged forward_installed(const PolicyEngine& pe, Working& W, const Request& rq) const char* model_name(const Routing& r) noexcept { if (std::holds_alternative(r)) return "CostOnly"; + if (is_t2(r)) return "T2"; if (std::holds_alternative(r)) return "Global"; if (std::holds_alternative(r)) return "T1"; return "Pinned"; @@ -1630,13 +1683,21 @@ ResolvedAxes resolve_config(const FlowPolicyConfig& cfg, bool cache, std::int32_ if (cfg.origin.has_value()) check_member(*cfg.origin, "origin"); if (cfg.selection.has_value()) check_selection(*cfg.selection); if (cfg.weights.has_value()) check_member(*cfg.weights, "weights"); - // The model's row (T1: an "up to" count is not T1's row), its columns left to right: - // placement, origin, admission, selection, weights (with edge_weights). + // The model's row (Global: no selection, then support and tunnels together decide it, then + // prefer_headroom needs tunnels; T1: an "up to" count is not T1's row), its columns left to + // right: placement, origin, admission, selection, weights (with edge_weights). ResolvedAxes out {cfg.selection, cfg.origin, cfg.weights}; const bool cost_only = std::holds_alternative(r); - const bool global = std::holds_alternative(r); + const auto* gl = std::get_if(&r); const auto* t1 = std::get_if(&r); const bool pinned = std::holds_alternative(r); + if (gl != nullptr) { + if (cfg.selection.has_value()) invalid("Global does not accept selection"); + if (gl->support && gl->tunnels.has_value()) invalid("Global support and tunnels are mutually exclusive"); + if (gl->prefer_headroom && !gl->tunnels.has_value()) invalid("prefer_headroom requires tunnels"); + } + const bool t2 = is_t2(r); + const bool global = gl != nullptr && !t2; const std::string model = model_name(r); if (t1 != nullptr && t1->tunnels.up_to) invalid("T1 requires an exact tunnel count"); if (!cost_only) { @@ -1651,12 +1712,12 @@ ResolvedAxes resolve_config(const FlowPolicyConfig& cfg, bool cache, std::int32_ if (t1 != nullptr && cfg.origin == Origin::Optimized) invalid("T1 requires origin=EQUAL"); if (pinned && cfg.origin.has_value()) invalid("Pinned does not accept origin"); if (!cfg.origin.has_value() && !pinned) { - out.origin = (cost_only && !max_flow) || t1 != nullptr ? Origin::Equal : Origin::Optimized; + out.origin = (cost_only && !max_flow) || t1 != nullptr || t2 ? Origin::Equal : Origin::Optimized; } if (cfg.admission == Admission::Lossy && max_flow) invalid("MAX_FLOW requires admission=LOSSLESS"); - if (global || pinned) { - if (cfg.selection.has_value()) invalid(model + " does not accept selection"); - } else { + if (pinned) { + if (cfg.selection.has_value()) invalid("Pinned does not accept selection"); + } else if (gl == nullptr) { if (!cfg.selection.has_value()) out.selection = PathSelection(); if (t1 != nullptr) { // A tunnel is one path: T1 reads tie_break, priority and multi_edge. @@ -1680,7 +1741,8 @@ ResolvedAxes resolve_config(const FlowPolicyConfig& cfg, bool cache, std::int32_ if (cfg.edge_weights) invalid(model + " does not accept edge_weights"); } if (cache && !cost_only) invalid(model + " does not use DagCache"); - // T1's parameters: the tunnel count, the cost ceiling, the search minimum. + // The tunnel models' parameters: the tunnel count; T1's cost ceiling and search minimum. + if (t2 && (gl->tunnels->count < 1 || gl->tunnels->count > kMaxTunnelCount)) invalid("tunnel count must be in [1, 10000]"); if (t1 != nullptr) { if (t1->tunnels.count < 1 || t1->tunnels.count > kMaxTunnelCount) invalid("tunnel count must be in [1, 10000]"); check_ceiling(t1->max_path_cost); @@ -1707,16 +1769,21 @@ void check_source_count(const FlowPolicyConfig& cfg, std::size_t num_sources, st cfg.selection->single_path() && cfg.selection->tie_break == EdgeTieBreak::PreferHigherPriority) { invalid("CostOnly with multiple input sources rejects multipath=false with PREFER_HIGHER_PRIORITY"); } + // T2 optimized is the equal calculation with one source; with several it would be another + // (strongly NP-hard) problem. + if (is_t2(r) && num_sources > 1 && cfg.origin == Origin::Optimized) invalid("T2 with several sources requires origin=EQUAL"); } void check_tunnel_limit(const FlowPolicyConfig& cfg, std::size_t num_heads) { const auto* t1 = std::get_if(&cfg.routing); - if (t1 == nullptr) return; - // The count is in [1, 10000] (resolve_config) and H < 2^31: the product fits 64 bits. + const auto* gl = std::get_if(&cfg.routing); + if (t1 == nullptr && (gl == nullptr || !gl->tunnels.has_value())) return; + // The count (the largest for "up to") is in [1, 10000] (resolve_config) and H < 2^31: the + // product fits 64 bits. + const std::int64_t count = t1 != nullptr ? t1->tunnels.count : gl->tunnels->count; const auto heads = static_cast(num_heads); - if (heads * t1->tunnels.count > kMaxTunnels) { - invalid("tunnel limit exceeded: " + str(heads) + " heads x " + str(t1->tunnels.count) + " tunnels > " + - str(kMaxTunnels)); + if (heads * count > kMaxTunnels) { + invalid("tunnel limit exceeded: " + str(heads) + " heads x " + str(count) + " tunnels > " + str(kMaxTunnels)); } } @@ -1816,8 +1883,8 @@ std::unique_ptr make_engine(FlowLedger& ledger, std::spanglobal_support = std::make_shared>(std::move(trimmed)); } else { - // The static costs fix the roster (unrestricted Global and T1); T1's Stretch baseline c0 is - // their minimum over the roster heads (zero-capacity edges included, before any filter). + // The static costs fix the roster (unrestricted Global, T1 and T2); T1's Stretch baseline c0 + // is their minimum over the roster heads (zero-capacity edges included, before any filter). const auto dist = detail::static_costs(g, elig, pe->dests_ok, pe->sources); pe->c0 = kUnreachable; for (std::size_t i = 0; i < pe->sources.size(); ++i) { @@ -1837,8 +1904,8 @@ std::unique_ptr make_engine(FlowLedger& ledger, std::span(*pe)) pe->epoch.cohorts.resize(pe->roster.size()); + // The tunnel models' cohorts are per program entry, sized by their first call. + if (!detail::tunnel_model(*pe)) pe->epoch.cohorts.resize(pe->roster.size()); pe->owner = LedgerAccess::bind(ledger); // last: nothing is bound when construction fails return pe; } @@ -1906,8 +1973,16 @@ Staged empty_roster(const PolicyEngine& pe, const Epoch& cur, const Request& rq, s.next.prepared = true; s.next.infinite = cur.infinite || !v.has_value(); s.next.program = cur.program ? cur.program : empty_roster_program(pe); - // T1: forward keeps the installed plan; a setup plans no head. - if (is(pe)) s.next.plan = rq.op == Op::Forward ? cur.plan : t1_plan(pe, t1_design(rq), nullptr); + // The tunnel models: forward keeps the installed plan; a setup plans no head. + if (rq.op == Op::Forward) { + s.next.plan = cur.plan; + } else if (is(pe)) { + s.next.plan = std::make_shared(t1_plan(pe, *design_of(rq), nullptr)); + } else if (t2(pe)) { + T2Layout none; + none.count = std::get(pe.config.routing).tunnels->up_to ? 1 : std::get(pe.config.routing).tunnels->count; + s.next.plan = std::make_shared(t2_plan(pe, design_of(rq), none, 0, 0)); + } PlacementResult& out = s.out; out.remaining = v; out.delivery_delta = 0; @@ -1915,7 +1990,7 @@ Staged empty_roster(const PolicyEngine& pe, const Epoch& cur, const Request& rq, if (lossy && v.has_value()) out.call_source_loss = *v; set_flags(out, before, s.next.program.get(), is(pe)); out.program = s.next.program; - out.plan = s.next.plan; + if (s.next.plan) out.plan = *s.next.plan; fill_state(pe, {}, s.next.requested, s.next.infinite, s.next.offered, out); if (controller(pe)) out.total_cost = Counter128 {}; if (optimized_global) { @@ -1937,22 +2012,24 @@ void check_forward_operation(const PolicyEngine& pe) { namespace { // The call's validation (before any change, also before the zero shortcut), in this order: the -// operation for the model (T1's place) and an installed program (forward), the offer, a Lossy full -// offer's finiteness, the design demand (the model, its domain, T1's finiteness), a finite place -// after +inf, the requested total's limit, the black holes' graph. +// operation for the model (T1's and T2's place) and an installed program (forward), the offer, a +// Lossy full offer's finiteness, the design demand (the model, its domain, T1's finiteness), a +// finite place after +inf, the requested total's limit, the black holes' graph. void check_call(const PolicyEngine& pe, const Request& rq) { const bool lossy = pe.config.admission == Admission::Lossy; const bool t1 = is(pe); - if (rq.op == Op::Place && t1) invalid("T1 does not support incremental placement"); + if (rq.op == Op::Place && tunnel_model(pe)) { + invalid(std::string(model_name(pe.config.routing)) + " does not support incremental placement"); + } if (rq.op == Op::Forward) check_forward_operation(pe); if (rq.v.has_value() && (*rq.v < 0 || *rq.v >= kDomainLimit)) { invalid("offer must be an integer in [0, 2^62) or permitted +inf"); } // A Lossy full offer is finite; CostOnly's place(+inf) is its first-hop experiment. if (lossy && !rq.v.has_value() && (rq.full() || is(pe))) invalid("LOSSY forwarding requires a finite offer"); - // The design demand: T1's alone, in its domain, finite (absent: the offer). + // The design demand: the tunnel models' alone, in its domain, T1's finite (absent: the offer). if (rq.design.has_value()) { - if (!t1) invalid(std::string(model_name(pe.config.routing)) + " does not accept design_demand"); + if (!tunnel_model(pe)) invalid(std::string(model_name(pe.config.routing)) + " does not accept design_demand"); if (rq.design->has_value() && (**rq.design < 0 || **rq.design >= kDomainLimit)) { invalid("design_demand must be an integer in [0, 2^62) or permitted +inf"); } @@ -1988,8 +2065,12 @@ Staged compute(const PolicyEngine& pe, const Request& rq) { // No roster source (a computing model): nothing is computed. A Pinned policy whose heads all // fail keeps its per-entry records and forwards nothing (place_pinned). s = empty_roster(pe, cur, rq, before); + } else if (tunnel_model(pe) && rq.op == Op::Forward) { + s = forward_tunnels(pe, cur, W, rq, before); } else if (is(pe)) { s = place_t1(pe, cur, W, rq, before); + } else if (t2(pe)) { + s = place_t2(pe, cur, W, rq, before); } else if (rq.op == Op::Forward) { s = forward_installed(pe, W, rq); } else if (is(pe)) { diff --git a/src/program.cpp b/src/program.cpp index 1ab4743..923a13e 100644 --- a/src/program.cpp +++ b/src/program.cpp @@ -245,6 +245,7 @@ std::shared_ptr tunnel_program( t.status = s.status; t.requested = s.requested; t.reserved = up ? s.requested : 0; + t.planned = s.planned; t.weight = up ? 1 : 0; ProgramEntry entry; entry.index = t.index; diff --git a/src/tunnels_t2.cpp b/src/tunnels_t2.cpp new file mode 100644 index 0000000..842756b --- /dev/null +++ b/src/tunnels_t2.cpp @@ -0,0 +1,771 @@ +/* + T2 layout (contract 7.2 to 7.7): a controller gives every live head the same number k of + single-path tunnels with one common whole-unit planned bandwidth. + + The network: the allowed edges (an edge and both endpoints allowed) that do not leave a + destination (a path stops at the first destination it meets), on V, the free capacity with this + policy's own traffic released. A head is live when it reaches a destination over edges with + V >= 1 (one reverse traversal); the other roster heads are dead: they keep their place in the + roster (their positions j * H + i are holes) and get no tunnel. a live heads, K = a * k tunnels. + + Sizing. Tunnels of a common size s > 0 exist exactly when K path units flow from a virtual root + (an arc of capacity k to each live head) to the destinations with edge capacities + min(K, floor(V / s)): the quota flow, a maximum flow of the flow core with costs ignored + (max_flow_subset: its value capped at K, each live head's virtual arc capped at k; a + destination's virtual arc never binds, the value being at most K). The quota network keeps + only the edges with V >= 1 on a walk from a live head to a destination. U, the largest integer size that passes, by integer bisection below the bounds + every feasible size obeys: max V, floor(sum of a live head's out-edges' V / k), floor(sum of the + destinations' in-edges' V / K) (and, for "up to", U(k - 1)). The exact fluid optimum s* (a + fraction V[e] / j with j <= K) by bisection over dyadic sizes N / 2^t, t = 2 * bit_width(K) bits + (two such fractions differ by at least 1 / K^2 > 2^-t), from [U, U + 1) (or [2^-bit_width(K), 1) + when U = 0, where every edge with V >= 1 has capacity K), then the one breakpoint in the final + interval. Capacities are exact: V * 2^t < 2^123, and min(K, .) is decided by a product below 2^92 + before a division whose quotient fits 64 bits. + + Working size (finite design D): u = min(U, max(1, max over live heads of ceil(RR(D, H, i) / k))) + with i the head's roster position (dead heads' shares stay in the round robin); unlimited: U. + + Routes at u (7.3): count vectors x with x[e] <= b[e] = min(K, floor(V[e] / u)); minimum + J = sum cost * x, then (prefer_headroom) minimum Phi = sum over slots of floor(2^32 (B - V + j u) / B) + (B: static capacity; j u <= V, so a slot price is an integer in [0, 2^32]), then the canonical + unit augmentation: K units from zero flow, each on the residual root-to-sink path of minimum + (J, Phi) price, then fewest arcs, then the smallest sequence of arc keys ((0, EdgeId, direction) + for links, (1, head, direction) for root arcs, (2, destination, direction) for sink arcs). One + Dijkstra per unit with pair-valued potentials (signed 128-bit pairs, compared + lexicographically): it settles every vertex up to the sink's distance; the arcs whose reduced + price closes a distance exactly are tight; a BFS from the sink over reversed tight arcs counts + hops; the walk from the root takes, at each vertex, the smallest-key tight arc that lowers the + hop count. Settled vertices add their distance to their potential, the others the sink's + (reduced prices stay non-negative: a negative one is an internal error). Per link at most two + residual arcs: forward at slot x + 1 (x < b), reverse at slot x (x > 0); reverse root and sink + arcs never lie on a simple root-to-sink path and are not kept. J < K * (cost sum) < 2^92 and + Phi <= 2^32 * sum x < 2^94 (sum x counts every link of every tunnel, so Phi can pass 2^64): 128-bit, + each link's slot prices summed in closed form (t2_objectives). + + Program: x cut into unit paths per live head in ascending NodeId, each the walk along the + smallest positive EdgeId (decompose(), the controllers' cut, its paths expanded into units); + each head's k paths sorted by EdgeId sequence; tunnels in round order (round j, then roster + position i), index j * H + i. + + Up to L (7.7): k = 1..L upwards; U(k) never increases with k (a feasible (k + 1)-layout minus one + tunnel per head is feasible), so U(k) = 0 ends the scan (every later score is 0). With M = H k + roster positions the score G(min(D, F'(k))) (G: the live heads' part of a round-robin total; + F'(k): the largest total whose live shares fit on the program at U(k), dead shares ignored, in + [M U, M (U + 1)); unlimited D: G(F'(k))) lies between G(min(D, M U)) and G(min(D, M (U + 1) - 1)): + a lower bound equal to G(D) selects k without its program, an upper bound at most the + incumbent's skips k; nothing else is skipped. The smallest k reaching G(D) wins, else the + largest score, then the smallest k; it is then laid out at its own u. F'(k), M (U + 1) and the + bounds reach 2^92 (dead heads make M larger than K): 128-bit. +*/ +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/flow_core.hpp" +#include "netgraph/core/detail/int128.hpp" +#include "netgraph/core/detail/tunnels.hpp" + +namespace netgraph::core::detail { + +namespace { + +[[noreturn]] void internal(const char* what) { throw std::logic_error(std::string("T2: ") + what); } + +U128 u128(std::uint64_t x) noexcept { return U128 {0, x}; } +U128 half(U128 v) noexcept { return U128 {v.hi >> 1, (v.lo >> 1) | (v.hi << 63)}; } +// floor(z / d) and z mod d for d >= 1 and a quotient below 2^64. +std::pair divmod(U128 z, std::uint64_t d) noexcept { + const std::uint64_t q = div_u128(z, d); + return {q, sub(z, mul_u64(q, d)).lo}; +} + +// The edges T2 may use and the endpoints, on the free capacity V. +struct Base { + const Graph& g; + std::span roster; + std::span dests; + std::span V; + std::vector usable {}; // per edge: allowed and not leaving a destination + std::vector back {}; // per node: reaches a destination over usable edges with V >= 1 +}; + +Base make_base(const Graph& g, const Eligibility* elig, std::span roster, std::span dests, + std::span V) { + Base b {g, roster, dests, V}; + const auto n = static_cast(g.num_nodes()); + const auto m = static_cast(g.num_edges()); + const auto src = g.edge_src(); + const auto dst = g.edge_dst(); + std::vector is_dst(n, 0); + for (NodeId d : dests) is_dst[static_cast(d)] = 1; + b.usable.assign(m, 0); + for (std::size_t e = 0; e < m; ++e) { + const auto u = src[e]; + const auto v = dst[e]; + if (is_dst[static_cast(u)] != 0) continue; + if (elig != nullptr && (!elig->edge_ok(static_cast(e)) || !elig->node_ok(u) || !elig->node_ok(v))) continue; + b.usable[e] = 1; + } + // The reverse traversal from the destinations over usable edges with V >= 1. + b.back.assign(n, 0); + std::vector stack(dests.begin(), dests.end()); + for (NodeId d : dests) b.back[static_cast(d)] = 1; + const auto in_row = g.in_row_offsets(); + const auto in_edge = g.in_adj_edge_index(); + while (!stack.empty()) { + const auto v = static_cast(stack.back()); + stack.pop_back(); + for (auto s = in_row[v]; s < in_row[v + 1]; ++s) { + const auto e = static_cast(in_edge[static_cast(s)]); + if (b.usable[e] == 0 || V[e] < 1) continue; + const auto u = static_cast(src[e]); + if (b.back[u] == 0) { + b.back[u] = 1; + stack.push_back(static_cast(u)); + } + } + } + return b; +} + +// The quota network of the live heads: the usable edges with V >= 1 on a walk from a live head to +// a destination (ascending EdgeId), and the heads' roster positions. +struct Quota { + std::vector live {}; + std::vector live_pos {}; // roster position of each live head + std::vector edges {}; + std::vector cap_v {}; // V of each edge + Amount max_v {0}; +}; + +Quota make_quota(const Base& b) { + Quota q; + for (std::size_t i = 0; i < b.roster.size(); ++i) { + if (b.back[static_cast(b.roster[i])] == 0) continue; + q.live.push_back(b.roster[i]); + q.live_pos.push_back(static_cast(i)); + } + const auto& g = b.g; + const auto n = static_cast(g.num_nodes()); + const auto row = g.row_offsets(); + const auto dst = g.edge_dst(); + std::vector fwd(n, 0); + std::vector stack(q.live.begin(), q.live.end()); + for (NodeId h : q.live) fwd[static_cast(h)] = 1; + while (!stack.empty()) { + const auto u = static_cast(stack.back()); + stack.pop_back(); + for (auto e = static_cast(row[u]); e < static_cast(row[u + 1]); ++e) { + if (b.usable[e] == 0 || b.V[e] < 1) continue; + const auto v = static_cast(dst[e]); + if (b.back[v] == 0 || fwd[v] != 0) continue; + fwd[v] = 1; + stack.push_back(static_cast(v)); + } + } + const auto src = g.edge_src(); + for (std::size_t e = 0; e < static_cast(g.num_edges()); ++e) { + if (b.usable[e] == 0 || b.V[e] < 1) continue; + if (fwd[static_cast(src[e])] == 0 || b.back[static_cast(dst[e])] == 0) continue; + q.edges.push_back(static_cast(e)); + q.cap_v.push_back(b.V[e]); + q.max_v = std::max(q.max_v, b.V[e]); + } + return q; +} + +// min(K, floor(V / s)) for the size s = N / 2^t (N >= 1, t <= 61, V < 2^62): V * 2^t < 2^123; a +// quotient that may exceed K is first compared with K * N (below 2^92 when N < 2^64; otherwise +// the quotient is below 2^59). +Amount slots(Amount v, U128 N, int t, Amount K) noexcept { + const U128 num = shl(u128(static_cast(v)), t); + if (N.hi == 0) { + if (!(num < mul_u64(static_cast(K), N.lo))) return K; + return static_cast(div_u128(num, N.lo)); + } + return std::min(K, static_cast(div_u128(num, N))); +} + +// One count k: the quota flows of its sizes. +struct Sizing { + const Base& b; + const Quota& q; + std::int64_t k; + Amount K; + std::vector caps {}; + std::vector head_caps {}; + + Sizing(const Base& base, const Quota& quota, std::int64_t count) + : b(base), q(quota), k(count), K(static_cast(quota.live.size()) * count), caps(quota.edges.size()), + head_caps(quota.live.size(), count) {} + + // Do K unit paths fit at the size N / 2^t? + bool feasible(U128 N, int t) { + for (std::size_t i = 0; i < q.edges.size(); ++i) caps[i] = slots(q.cap_v[i], N, t, K); + return max_flow_subset(b.g, q.edges, caps, q.live, b.dests, K, head_caps) == K; + } + + // U: the largest integer size that fits (0 when none), at most `limit`. + Amount common(Amount limit) { + const auto src = b.g.edge_src(); + const auto dst = b.g.edge_dst(); + std::vector out(q.live.size(), 0); + Amount in = 0; + std::vector is_dst(static_cast(b.g.num_nodes()), 0); + for (NodeId d : b.dests) is_dst[static_cast(d)] = 1; + for (std::size_t i = 0; i < q.edges.size(); ++i) { + const auto e = static_cast(q.edges[i]); + const auto h = std::lower_bound(q.live.begin(), q.live.end(), src[e]); + if (h != q.live.end() && *h == src[e]) out[static_cast(h - q.live.begin())] += q.cap_v[i]; + if (is_dst[static_cast(dst[e])] != 0) in += q.cap_v[i]; + } + // Every size that fits obeys these: k tunnels of size s leave each live head on edges with + // floor(V / s) >= 1 summing to at least k, and K enter the destinations. + Amount hi = std::min(limit, q.max_v); + for (Amount x : out) hi = std::min(hi, x / k); + hi = std::min(hi, in / K); + if (hi < 1 || !feasible(u128(1), 0)) return 0; + if (feasible(u128(static_cast(hi)), 0)) return hi; + Amount lo = 1; // fits; hi does not + while (hi - lo > 1) { + const Amount mid = lo + (hi - lo) / 2; + if (feasible(u128(static_cast(mid)), 0)) { + lo = mid; + } else { + hi = mid; + } + } + return lo; + } + + // s* as a reduced fraction (numerator, denominator), given U (live heads exist). + std::pair fluid(Amount U) { + const int w = std::bit_width(static_cast(K)); // K < 2^w + const int t = 2 * w; // 2^-t < 1 / K^2 + const U128 base = shl(u128(static_cast(U)), t); + // Fractional numerators over 2^t: base + lo fits, base + hi does not. + U128 lo = U >= 1 ? U128 {} : shl(u128(1), t - w); + U128 hi = shl(u128(1), t); + while (sub(hi, lo) > u128(1)) { + const U128 mid = add(lo, half(sub(hi, lo))); + if (feasible(add(base, mid), t)) { + lo = mid; + } else { + hi = mid; + } + } + // The one breakpoint V[e] / j in [base + lo, base + hi) / 2^t. + Amount num = 0; + Amount den = 0; + for (std::size_t i = 0; i < q.edges.size(); ++i) { + const Amount v = q.cap_v[i]; + const Amount jmax = slots(v, add(base, lo), t, K); + const Amount jmin = slots(v, add(base, hi), t, K) + 1; + if (jmin > jmax) continue; + if (jmin != jmax) internal("two breakpoints closer than 1 / K^2"); + if (den == 0) { + num = v; + den = jmax; + } else if (!(mul_u64(static_cast(num), static_cast(jmax)) == + mul_u64(static_cast(v), static_cast(den)))) { + internal("two fluid sizes in one interval"); + } + } + if (den == 0) internal("no fluid breakpoint"); + const Amount d = std::gcd(num, den); + return {num / d, den / d}; + } +}; + +// ---------------------------------------------------------------- the canonical augmentation + +// A (J, Phi) price, compared lexicographically. +struct Pair { + I128 j {}; + I128 p {}; + friend bool operator==(const Pair&, const Pair&) = default; + friend bool operator<(const Pair& a, const Pair& b) noexcept { return a.j != b.j ? a.j < b.j : a.p < b.p; } + friend Pair operator+(const Pair& a, const Pair& b) noexcept { return {a.j + b.j, a.p + b.p}; } + friend Pair operator-(const Pair& a, const Pair& b) noexcept { return {a.j - b.j, a.p - b.p}; } +}; + +// The headroom price of slot j (j u <= V <= B): floor(2^32 (B - V + j u) / B), at most 2^32. +Amount slot_price(Amount B, Amount V, Amount j, Amount u) noexcept { + const auto occupied = static_cast(B - V + j * u); + return static_cast(div_u128(mul_u64(occupied, std::uint64_t {1} << 32), static_cast(B))); +} + +// The low 128 bits of v q (exact when the product is below 2^128). +U128 mul_lo(U128 v, std::uint64_t q) noexcept { + const U128 low = mul_u64(v.lo, q); + return U128 {low.hi + v.hi * q, low.lo}; +} + +// n (n - 1) / 2 for n >= 1. +U128 pairs_below(std::uint64_t n) noexcept { return half(mul_u64(n, n - 1)); } + +// The sum of slot_price(B, V, j, u) over j = 1..x (x u <= V <= B, u >= 1) in closed form: with +// a = 2^32 u and b = 2^32 (B - V + u), the floor sum of (a i + b) / B over i = 0..x-1, by Euclid's +// reduction (O(log B) steps, so a link's x never needs a loop). a / B and b / B are at most 2^32 +// (u <= V <= B and B - V + u <= B); after them every value is below 2^62 except a n + b, below +// 2^124, whose quotient by m is below n + 1. Every term is part of the sum, at most 2^32 x < 2^94. +U128 slot_price_sum(Amount B, Amount V, Amount u, Amount x) noexcept { + U128 sum {}; + if (x <= 0) return sum; + auto n = static_cast(x); + auto m = static_cast(B); + const auto [qa, a0] = divmod(shl(u128(static_cast(u)), 32), m); + const auto [qb, b0] = divmod(shl(u128(static_cast(B - V + u)), 32), m); + sum = add(mul_lo(pairs_below(n), qa), mul_u64(n, qb)); + std::uint64_t a = a0; + std::uint64_t c = b0; + while (true) { + if (a >= m) { + sum = add(sum, mul_lo(pairs_below(n), a / m)); + a %= m; + } + if (c >= m) { + sum = add(sum, mul_u64(n, c / m)); + c %= m; + } + const U128 y = add(mul_u64(a, n), u128(c)); + if (y < u128(m)) return sum; + std::tie(n, c) = divmod(y, m); + std::swap(m, a); + } +} + +// An arc's key: (type, id, direction), compared lexicographically. +struct Key { + int type {0}; + std::int64_t id {0}; + int dir {0}; + friend auto operator<=>(const Key&, const Key&) = default; +}; + +// The count vector of the canonical augmentation (aligned with q.edges) for k tunnels per live +// head at size u. +std::vector canonical(const Base& b, const Quota& q, std::int64_t k, Amount u, bool headroom) { + const auto& g = b.g; + const Amount K = static_cast(q.live.size()) * k; + const auto src = g.edge_src(); + const auto dst = g.edge_dst(); + const auto cost = g.cost(); + const auto cap = g.capacity_units(); + // The links with a slot at u, their local endpoints; root = L, sink = L + 1. + std::vector local(static_cast(g.num_nodes()), -1); + std::vector node_of; + auto add_node = [&](NodeId v) { + auto& s = local[static_cast(v)]; + if (s < 0) { + s = static_cast(node_of.size()); + node_of.push_back(v); + } + return s; + }; + struct Link { + std::size_t q {0}; // position in q.edges + EdgeId e {0}; + std::int32_t tail {0}; + std::int32_t head {0}; + Amount slots {0}; + Amount x {0}; + Pair fwd {}; // the price of slot x + 1 + Pair rev {}; // minus the price of slot x + }; + std::vector links; + for (NodeId h : q.live) add_node(h); + for (std::size_t i = 0; i < q.edges.size(); ++i) { + const Amount s = std::min(K, q.cap_v[i] / u); + if (s == 0) continue; + const auto e = static_cast(q.edges[i]); + links.push_back(Link {i, q.edges[i], add_node(src[e]), add_node(dst[e]), s}); + } + const auto L = static_cast(node_of.size()); + const std::int32_t root = L; + const std::int32_t sink = L + 1; + const auto N = static_cast(L + 2); + std::vector is_dst(N, 0); + for (NodeId d : b.dests) { + const auto s = local[static_cast(d)]; + if (s >= 0) is_dst[static_cast(s)] = 1; + } + auto price = [&](const Link& l, Amount j) -> Pair { + const auto ei = static_cast(l.e); + const Amount B = cap[ei]; + return {I128(cost[ei]), I128(headroom && B > 0 ? slot_price(B, b.V[ei], j, u) : 0)}; + }; + auto reprice = [&](Link& l) { + if (l.x < l.slots) l.fwd = price(l, l.x + 1); + if (l.x > 0) l.rev = Pair {} - price(l, l.x); + }; + for (auto& l : links) reprice(l); + // Per local node its forward links (by tail) and reverse links (by head), CSR. + std::vector out_first(N + 1, 0); + std::vector in_first(N + 1, 0); + for (const auto& l : links) { + ++out_first[static_cast(l.tail) + 1]; + ++in_first[static_cast(l.head) + 1]; + } + for (std::size_t v = 0; v < N; ++v) { + out_first[v + 1] += out_first[v]; + in_first[v + 1] += in_first[v]; + } + std::vector out_links(links.size()); + std::vector in_links(links.size()); + { + std::vector o(out_first.begin(), out_first.end() - 1); + std::vector n(in_first.begin(), in_first.end() - 1); + for (std::size_t i = 0; i < links.size(); ++i) { + out_links[static_cast(o[static_cast(links[i].tail)]++)] = static_cast(i); + in_links[static_cast(n[static_cast(links[i].head)]++)] = static_cast(i); + } + } + std::vector root_flow(q.live.size(), 0); + std::vector pi(N); + std::vector dist(N); + std::vector reached(N, 0); + std::vector settled(N, 0); + std::vector order; // the settled vertices + // A residual arc out of a vertex: its head, reduced price, key and what an augmentation does + // (kind 0 a link forward, 1 a link reverse, 2 a root arc, 3 a sink arc; index). + struct Arc { + std::int32_t to {0}; + Pair rp {}; + Key key {}; + int kind {0}; + std::int32_t index {0}; + }; + auto arcs_of = [&](std::int32_t v, auto&& visit) { + if (v == root) { + for (std::size_t h = 0; h < q.live.size(); ++h) { + if (root_flow[h] >= k) continue; + const auto to = static_cast(h); // live heads are the first local nodes + visit(Arc {to, pi[static_cast(root)] - pi[static_cast(to)], Key {1, q.live[h], 0}, 2, + static_cast(h)}); + } + return; + } + const auto vi = static_cast(v); + for (auto s = out_first[vi]; s < out_first[vi + 1]; ++s) { + const auto i = out_links[static_cast(s)]; + const auto& l = links[static_cast(i)]; + if (l.x >= l.slots) continue; + visit(Arc {l.head, l.fwd + pi[vi] - pi[static_cast(l.head)], Key {0, l.e, 0}, 0, i}); + } + for (auto s = in_first[vi]; s < in_first[vi + 1]; ++s) { + const auto i = in_links[static_cast(s)]; + const auto& l = links[static_cast(i)]; + if (l.x <= 0) continue; + visit(Arc {l.tail, l.rev + pi[vi] - pi[static_cast(l.tail)], Key {0, l.e, 1}, 1, i}); + } + if (is_dst[vi] != 0) { + visit(Arc {sink, pi[vi] - pi[static_cast(sink)], Key {2, node_of[vi], 0}, 3, v}); + } + }; + // The residual arcs into a vertex: visit(tail, reduced price) (none into the root). + std::vector dest_local; + for (std::size_t v = 0; v < N; ++v) { + if (is_dst[v] != 0) dest_local.push_back(static_cast(v)); + } + auto in_arcs_of = [&](std::int32_t w, auto&& visit) { + const auto wi = static_cast(w); + if (w == sink) { + for (std::int32_t d : dest_local) visit(d, pi[static_cast(d)] - pi[wi]); + return; + } + if (w == root) return; + for (auto s = in_first[wi]; s < in_first[wi + 1]; ++s) { + const auto& l = links[static_cast(in_links[static_cast(s)])]; + if (l.x < l.slots) visit(l.tail, l.fwd + pi[static_cast(l.tail)] - pi[wi]); + } + for (auto s = out_first[wi]; s < out_first[wi + 1]; ++s) { + const auto& l = links[static_cast(out_links[static_cast(s)])]; + if (l.x > 0) visit(l.head, l.rev + pi[static_cast(l.head)] - pi[wi]); + } + if (wi < q.live.size() && root_flow[wi] < k) visit(root, pi[static_cast(root)] - pi[wi]); + }; + using Entry = std::pair; + auto later = [](const Entry& a, const Entry& b) { return b.first < a.first; }; + std::priority_queue, decltype(later)> heap(later); + std::vector hop(N, -1); + std::vector frontier; + for (Amount unit = 0; unit < K; ++unit) { + std::fill(reached.begin(), reached.end(), 0); + std::fill(settled.begin(), settled.end(), 0); + order.clear(); + dist[static_cast(root)] = Pair {}; + reached[static_cast(root)] = 1; + heap.push({Pair {}, root}); + while (!heap.empty()) { + const auto [d, v] = heap.top(); + const auto vi = static_cast(v); + if (settled[vi] != 0 || dist[vi] < d) { + heap.pop(); + continue; + } + // Every vertex at the sink's distance or nearer is settled; the rest is not on a shortest path. + if (settled[static_cast(sink)] != 0 && dist[static_cast(sink)] < d) break; + heap.pop(); + settled[vi] = 1; + order.push_back(v); + if (v == sink) continue; + arcs_of(v, [&](const Arc& a) { + if (a.rp < Pair {}) internal("a negative reduced price"); + const auto w = static_cast(a.to); + const Pair nd = d + a.rp; + if (settled[w] != 0) return; + if (reached[w] == 0 || nd < dist[w]) { + reached[w] = 1; + dist[w] = nd; + heap.push({nd, a.to}); + } + }); + } + while (!heap.empty()) heap.pop(); + if (settled[static_cast(sink)] == 0) internal("no augmenting path below K units"); + const Pair dt = dist[static_cast(sink)]; + // The hop counts back from the sink over the tight arcs (settled at both ends, the reduced + // price closing the distances exactly): a breadth-first search over the arcs into each vertex, + // so only vertices on shortest paths are reached. + for (std::int32_t v : order) hop[static_cast(v)] = -1; + hop[static_cast(sink)] = 0; + frontier.assign(1, sink); + for (std::size_t f = 0; f < frontier.size(); ++f) { + const std::int32_t w = frontier[f]; + const auto wi = static_cast(w); + in_arcs_of(w, [&](std::int32_t a, const Pair& rp) { + const auto ai = static_cast(a); + if (settled[ai] == 0 || hop[ai] >= 0 || !(dist[ai] + rp == dist[wi])) return; + hop[ai] = hop[wi] + 1; + frontier.push_back(a); + }); + } + if (hop[static_cast(root)] < 0) internal("the sink is not reached over tight arcs"); + // The walk: at each vertex the smallest-key tight arc one hop nearer the sink; one unit along it. + std::int32_t v = root; + while (v != sink) { + const auto vi = static_cast(v); + std::optional best; + arcs_of(v, [&](const Arc& arc) { + const auto w = static_cast(arc.to); + if (settled[w] == 0 || hop[w] != hop[vi] - 1 || !(dist[vi] + arc.rp == dist[w])) return; + if (!best || arc.key < best->key) best = arc; + }); + if (!best) internal("the walk found no tight arc"); + if (best->kind == 0) { + ++links[static_cast(best->index)].x; + reprice(links[static_cast(best->index)]); + } else if (best->kind == 1) { + --links[static_cast(best->index)].x; + reprice(links[static_cast(best->index)]); + } else if (best->kind == 2) { + ++root_flow[static_cast(best->index)]; + } + v = best->to; + } + for (std::size_t w = 0; w < N; ++w) pi[w] = pi[w] + (settled[w] != 0 ? dist[w] : dt); + } + for (std::int64_t f : root_flow) { + if (f != k) internal("a live head without its k tunnels"); + } + std::vector x(q.edges.size(), 0); + for (const auto& l : links) x[l.q] = l.x; + return x; +} + +// ---------------------------------------------------------------- programs and budgets + +// A layout at one count and size: the tunnels in round order and the objectives. +struct Laid { + std::vector tunnels {}; + Counter128 route_cost {}; + Counter128 headroom_penalty {}; +}; + +Laid lay(const Base& b, const Quota& q, std::int64_t k, Amount u, bool headroom) { + const auto& g = b.g; + const auto x = canonical(b, q, k, u, headroom); + std::vector dense(static_cast(g.num_edges()), 0); + for (std::size_t i = 0; i < q.edges.size(); ++i) dense[static_cast(q.edges[i])] = x[i]; + const auto objectives = t2_objectives(g, q.edges, x, b.V, u, headroom); + const auto cost = g.cost(); + // Unit paths per live head (the controllers' cut, each path expanded), sorted by EdgeId sequence. + auto dec = decompose(g, {}, std::move(dense), q.live, b.dests); + std::vector>> per_head(q.live.size()); + for (auto& p : dec.paths) { + auto& rows = per_head[static_cast(p.slot)]; + for (Amount n = 0; n < p.amount; ++n) rows.push_back(p.edges); + } + for (auto& rows : per_head) { + if (static_cast(rows.size()) != k) internal("a live head's paths are not k"); + std::sort(rows.begin(), rows.end()); + } + Laid out; + out.route_cost = objectives.route_cost; + out.headroom_penalty = objectives.headroom_penalty; + out.tunnels.reserve(q.live.size() * static_cast(k)); + for (std::int64_t j = 0; j < k; ++j) { + for (std::size_t h = 0; h < q.live.size(); ++h) { + SetupTunnel t; + t.slot = static_cast(q.live_pos[h]); + t.round = static_cast(j); + t.planned = u; + t.edges = per_head[h][static_cast(j)]; + for (EdgeId e : t.edges) t.cost += cost[static_cast(e)]; + out.tunnels.push_back(std::move(t)); + } + } + return out; +} + +// G(z): the live heads' part of a round-robin total z over the H roster positions. +U128 live_part(const Quota& q, std::int64_t H, U128 z) noexcept { + const auto [per, rest] = divmod(z, static_cast(H)); + U128 g = mul_u64(per, q.live.size()); + for (std::int64_t i : q.live_pos) { + if (static_cast(i) < rest) g = add(g, u128(1)); + } + return g; +} + +// F'(k): the largest total z whose live shares fit on the tunnels of the program at U (each tunnel +// at position j H + i receives RR(z, M, j H + i); dead positions ignored), in [M U, M (U + 1)). +U128 live_budget(const Base& b, const std::vector& tunnels, std::int64_t H, std::int64_t k, Amount U) { + const auto M = static_cast(H * k); + std::vector load(static_cast(b.g.num_edges()), 0); + std::vector touched; + auto fits = [&](U128 z) { + const auto [per, rest] = divmod(z, M); + for (const auto& t : tunnels) { + const auto pos = static_cast(t.round * H + t.slot); // below H k <= 2^30 + const auto amount = static_cast(per) + (pos < rest ? 1 : 0); + for (EdgeId e : t.edges) { + auto& x = load[static_cast(e)]; + if (x == 0) touched.push_back(e); + x += amount; + } + } + bool ok = true; + for (EdgeId e : touched) { + ok = ok && load[static_cast(e)] <= b.V[static_cast(e)]; + load[static_cast(e)] = 0; + } + touched.clear(); + return ok; + }; + U128 lo = mul_u64(M, static_cast(U)); // fits: every tunnel gets U + U128 hi = add(lo, u128(M)); // does not: every tunnel would get U + 1 + while (sub(hi, lo) > u128(1)) { + const U128 mid = add(lo, half(sub(hi, lo))); + if (fits(mid)) { + lo = mid; + } else { + hi = mid; + } + } + return lo; +} + +// The working size of a finite design D at count k (7.2): the largest live design share per tunnel, +// at least 1, at most U. +Amount working_size(const Quota& q, std::int64_t H, std::int64_t k, Amount U, std::optional design) { + if (!design.has_value()) return U; + Amount need = 1; + for (std::int64_t i : q.live_pos) need = std::max(need, (rr(*design, H, i) + k - 1) / k); + return std::min(U, need); +} + +} // namespace + +T2Layout t2_layout(const Graph& g, const Eligibility* elig, std::span roster, + std::span dests, const Tunnels& tunnels, bool headroom, std::optional design, + std::span V) { + const Base b = make_base(g, elig, roster, dests, V); + const Quota q = make_quota(b); + const auto H = static_cast(roster.size()); + T2Layout out; + out.live = q.live; + out.count = tunnels.up_to ? 1 : tunnels.count; + if (q.live.empty()) return out; + std::int64_t k = tunnels.count; + Amount U = 0; + std::optional cached; // the chosen count's program at U(k), when "up to" built it + if (!tunnels.up_to) { + U = Sizing(b, q, k).common(q.max_v); + } else { + // Scores are live parts of totals (below 2^63); `target` is G(D) for a finite design. + const std::optional D = design.has_value() ? std::optional(u128(static_cast(*design))) + : std::nullopt; + const std::optional target = D.has_value() ? std::optional(live_part(q, H, *D)) : std::nullopt; + auto capped = [&](U128 z) { return D.has_value() && *D < z ? *D : z; }; + k = 1; + U128 best {}; + Amount limit = q.max_v; + for (std::int64_t c = 1; c <= tunnels.count; ++c) { + Sizing sz(b, q, c); + const Amount Uc = sz.common(limit); + if (Uc == 0) break; // every later count fits no unit either: score 0 + limit = Uc; + if (c == 1) U = Uc; // the incumbent's size until a better count + const auto M = static_cast(H * c); + const U128 lower = live_part(q, H, capped(mul_u64(M, static_cast(Uc)))); + const U128 upper = live_part(q, H, capped(sub(mul_u64(M, static_cast(Uc) + 1), u128(1)))); + if (target.has_value() && lower == *target) { + k = c; + U = Uc; + cached.reset(); + break; + } + if (!(best < upper)) continue; + Laid at_u = lay(b, q, c, Uc, headroom); + const U128 score = live_part(q, H, capped(live_budget(b, at_u.tunnels, H, c, Uc))); + if (best < score) { + best = score; + k = c; + U = Uc; + cached = std::move(at_u); + } + if (target.has_value() && score == *target) break; + } + } + out.count = k; + out.common = U; + if (U == 0) { + // No whole unit per tunnel fits (live heads exist): no tunnels; the fluid size names the cause. + std::tie(out.fluid_num, out.fluid_den) = Sizing(b, q, k).fluid(0); + return out; + } + std::tie(out.fluid_num, out.fluid_den) = Sizing(b, q, k).fluid(U); + out.planned = working_size(q, H, k, U, design); + Laid laid = cached.has_value() && out.planned == U ? std::move(*cached) : lay(b, q, k, out.planned, headroom); + out.tunnels = std::move(laid.tunnels); + out.route_cost = laid.route_cost; + out.headroom_penalty = laid.headroom_penalty; + return out; +} + +T2Objectives t2_objectives(const Graph& g, std::span edges, std::span x, + std::span V, Amount u, bool headroom) { + const auto cost = g.cost(); + const auto cap = g.capacity_units(); + U128 J {}; + U128 Phi {}; + for (std::size_t i = 0; i < edges.size(); ++i) { + if (x[i] == 0) continue; + const auto e = static_cast(edges[i]); + J = add(J, mul_u64(static_cast(cost[e]), static_cast(x[i]))); + if (!headroom || cap[e] == 0) continue; + if (V[e] > cap[e] || x[i] > V[e] / u) internal("a link's slots exceed its free capacity"); + Phi = add(Phi, slot_price_sum(cap[e], V[e], u, x[i])); + } + return {Counter128 {J.hi, J.lo}, Counter128 {Phi.hi, Phi.lo}}; +} + +} // namespace netgraph::core::detail diff --git a/tests/cpp/flow_policy_fault_tests.cpp b/tests/cpp/flow_policy_fault_tests.cpp index a54762e..08d9971 100644 --- a/tests/cpp/flow_policy_fault_tests.cpp +++ b/tests/cpp/flow_policy_fault_tests.cpp @@ -73,9 +73,10 @@ struct Mode { FlowPolicyConfig cfg; std::vector sources; std::vector destinations; - // The evaluators' offer (a T1 or Pinned Lossy evaluation requires a finite one). + // The evaluators' offer (a T1 or Pinned Lossy evaluation requires a finite one; T2's takes a + // finite design instead). std::optional> offered {}; - // T1's design: the evaluators' design_demand and the design of its calls. + // The tunnel models' design: the evaluators' design_demand and the design of their calls. std::optional> design {}; }; @@ -174,6 +175,20 @@ std::vector t1_modes() { return out; } +// T2's modes: no place either. Exact with prefer_headroom, Lossless (sizing, s*, the augmentation with +// Phi, the decomposition, the lossless bound F); "up to" Lossy (every count's sizing, objectives +// and budget, then the chosen count's layout). +std::vector t2_modes() { + const std::vector S = {0, 1}; + const std::vector D = {5, 6}; + std::vector out; + out.push_back({"t2 exact headroom", {.routing = Global {.tunnels = Tunnels {2}, .prefer_headroom = true}}, S, D, + std::nullopt, Amount {8}}); + out.push_back({"t2 up to lossy", {.routing = Global {.tunnels = Tunnels {2, true}}, .admission = Admission::Lossy}, + S, D, Amount {6}, Amount {9}}); + return out; +} + struct Scenario { std::vector> before; std::optional call; @@ -1549,3 +1564,174 @@ TEST(PolicyFaults, T1HoldScratchGrowthFailureLeavesNothingHalfGrown) { } } } + +// ---------------------------------------------------------------- T2 + +// T2's calls (replace, evaluate, replace(0), an unlimited design, forward with and without black +// holes) with a third party's load and a T1 owner's holds on the ledger (T2 reads the residual): +// every allocation of the call (the quota flows, the fluid search, the augmentation's arrays and +// heap, the decomposition, "up to"'s per-count programs, the program, the bound, the forwarding) +// fails once through the shared placement sweep: a failure changes neither the ledger nor the +// epoch and leaves no allocation live. +TEST(PolicyFaults, T2CallsFailAtomically) { + const auto g = graph(); + const auto inv = id_of_input(*g); + const EdgeId dark_edges[] = {inv[4], inv[6]}; + const Eligibility dark = g->eligibility({}, dark_edges); + const OutputOptions all {.edge_flows = true, .residual = true, .bottleneck = true, .reservation_edge_flows = true}; + const std::optional> unlimited {std::in_place, std::nullopt}; + struct Op { + std::string name; + std::function call; + }; + for (const auto& m : t2_modes()) { + const bool lossy = m.cfg.admission == Admission::Lossy; + const auto design = *m.design; + std::vector ops = {{"evaluate", [&](FlowPolicy& p) { return p.evaluate(6, design, all); }}, + {"replace", [&](FlowPolicy& p) { return p.replace(6, design, all); }}, + {"replace to zero", [&](FlowPolicy& p) { return p.replace(0, design); }}, + {"replace unlimited design", [&](FlowPolicy& p) { return p.replace(7, unlimited); }}, + {"forward", [](FlowPolicy& p) { return p.forward(6, nullptr, {true, true, true}); }}, + {"forward black holes", [&](FlowPolicy& p) { return p.forward(6, &dark); }}}; + if (!lossy) ops.push_back({"replace +inf", [&](FlowPolicy& p) { return p.replace(std::nullopt, design); }}); + for (const auto& op : ops) { + const std::string where = m.name + " / " + op.name; + const auto setup = [&](FlowLedger& fg) { + auto third = std::shared_ptr(third_party(fg, *g)); + auto holder = std::make_shared(fg, std::vector {1}, std::vector {6}, + FlowPolicyConfig {.routing = CapacityAware {Tunnels {1}}}); + (void)holder->replace(0, 2); + auto p = std::make_shared(fg, m.sources, m.destinations, m.cfg); + (void)p->replace(3, design); + FlowPolicy* policy = p.get(); + auto keep = std::make_shared>>( + std::vector> {std::move(third), std::move(holder), std::move(p)}); + return Staged {keep, policy}; + }; + const long injected = sweep_placement(g, where, setup, op.call); + if (::testing::Test::HasFailure()) return; + EXPECT_GT(injected, 0) << where; // not vacuous + } + } +} + +// A T2 policy's construction fails at every allocation without binding; a clean construction then +// lays out like the reference. +TEST(PolicyFaults, T2ConstructionFailsWithoutBinding) { + const auto g = graph(); + const Eligibility no_bypass = without_bypass(*g); + for (const auto& m : t2_modes()) { + for (const Eligibility* elig : {static_cast(nullptr), &no_bypass}) { + const std::string variant = m.name + (elig != nullptr ? " eligibility" : ""); + FlowLedger rf(g); + FlowPolicy pr(rf, m.sources, m.destinations, m.cfg, elig); + const PlacementResult want = pr.replace(2, *m.design); + const LedgerState placed = ledger_state(rf); + long injected = 0; + for (long at = 0;; ++at) { + const std::string w = variant + " construction allocation " + std::to_string(at); + const long live = g_live.load(); + { + FlowLedger fg(g); + const LedgerState before = ledger_state(fg); + std::optional p; + if (!fails_at(at, [&] { p.emplace(fg, m.sources, m.destinations, m.cfg, elig); })) { + EXPECT_EQ(LedgerAccess::bound_owners(fg).size(), 1U); + break; + } + ++injected; + EXPECT_FALSE(p.has_value()) << w; + expect_same(ledger_state(fg), before, w); + p.emplace(fg, m.sources, m.destinations, m.cfg, elig); + expect_same(p->replace(2, *m.design), want, w); + expect_same(ledger_state(fg), placed, w); + expect_balanced(fg, w); + } + EXPECT_EQ(g_live.load(), live) << w << ": a leak"; + if (::testing::Test::HasFailure()) return; + } + EXPECT_GT(injected, 0) << variant; + } + } +} + +// T2's evaluators (capacity on a fresh ledger; batch_capacity; sensitivity: sizing, count +// selection and objectives redone under every deletion) under the shared evaluator sweeps: capacity +// and batch_capacity exhaustively; sensitivity, whose deletions each repeat the layout that +// capacity's sweep already covers allocation by allocation, at every fifth allocation with one +// worker and every seventh with several (a whole sweep would take minutes per mode). Three tests per +// mode (capacity and batch_capacity; sensitivity without, then with an Eligibility), each within the +// test timeout under the sanitizers. `part`: 0, 1 or 2 in that order. +void sweep_t2_evaluators(const Mode& m, int part) { + const auto g = graph(); + const Eligibility no_bypass = without_bypass(*g); + const Eligibility no_cross = without_cross(*g); + const std::int32_t one[] = {1}; + const std::int32_t several[] = {2, 3}; + long attempts = 0; + { + for (const auto& o : option_sets(no_bypass, no_cross)) { + if (o.cache) continue; // T2 rejects a cache + if (part > 0) { + if ((part == 2) != (o.elig != nullptr)) continue; + attempts += sweep_sensitivity(m, *g, one, 5, o) + sweep_sensitivity(m, *g, several, 7, o); + if (::testing::Test::HasFailure()) return; + continue; + } + const std::string name = m.name + " capacity" + o.name; + const auto want = capacity(*g, m.sources, m.destinations, query_of(m, o.elig, nullptr, {true, true, true})); + long injected = 0; + for (long at = 0;; ++at) { + const long live = g_live.load(); + bool failed = false; + { + PlacementResult got; + failed = fails_at(at, [&] { got = capacity(*g, m.sources, m.destinations, query_of(m, o.elig, nullptr, {true, true, true})); }); + if (failed) { + ++injected; + expect_same(capacity(*g, m.sources, m.destinations, query_of(m, o.elig, nullptr, {true, true, true})), want, + name + " retry"); + } else { + expect_same(got, want, name); + } + } + EXPECT_EQ(g_live.load(), live) << name << " allocation " << at << ": a leak"; + if (!failed || ::testing::Test::HasFailure()) break; + } + EXPECT_GT(injected, 0) << name; + attempts += injected + sweep_batch(m, *g, one, 1, o); + if (::testing::Test::HasFailure()) return; + } + } + ::testing::Test::RecordProperty("allocation_attempts", std::to_string(attempts)); +} + +TEST(PolicyFaults, T2ExactEvaluatorsLeaveNoPoisonedScratch) { sweep_t2_evaluators(t2_modes()[0], 0); } +TEST(PolicyFaults, T2ExactSensitivityLeavesNoPoisonedScratch) { sweep_t2_evaluators(t2_modes()[0], 1); } +TEST(PolicyFaults, T2ExactMaskedSensitivityLeavesNoPoisonedScratch) { sweep_t2_evaluators(t2_modes()[0], 2); } +TEST(PolicyFaults, T2UpToEvaluatorsLeaveNoPoisonedScratch) { sweep_t2_evaluators(t2_modes()[1], 0); } +TEST(PolicyFaults, T2UpToSensitivityLeavesNoPoisonedScratch) { sweep_t2_evaluators(t2_modes()[1], 1); } +TEST(PolicyFaults, T2UpToMaskedSensitivityLeavesNoPoisonedScratch) { sweep_t2_evaluators(t2_modes()[1], 2); } + +// remove() and the destruction of a T2 policy allocate nothing: remove() takes the records away; +// the destruction leaves them as orphans (a plan books no hold) and the policy no longer bound. +TEST(PolicyFaults, T2RemovalAndReleaseNeverAllocate) { + const auto g = graph(); + for (const auto& m : t2_modes()) { + FlowLedger fg(g); + auto p = std::make_unique(fg, m.sources, m.destinations, m.cfg); + (void)p->replace(4, *m.design); + ASSERT_FALSE(fg.records().empty()) << m.name; + EXPECT_FALSE(fails_at(0, [&] { p->remove(); })) << m.name; + EXPECT_TRUE(fg.records().empty()) << m.name; + (void)p->replace(2, *m.design); + const LedgerState held = ledger_state(fg); + ASSERT_FALSE(held.records.empty()) << m.name; + EXPECT_FALSE(fails_at(0, [&] { p.reset(); })) << m.name; + const LedgerState orphaned = ledger_state(fg); + EXPECT_EQ(orphaned.allocated, held.allocated) << m.name; + EXPECT_EQ(orphaned.reserved, std::vector(orphaned.reserved.size(), 0)) << m.name; + EXPECT_EQ(orphaned.records.size(), held.records.size()) << m.name; + EXPECT_TRUE(orphaned.bound.empty()) << m.name; + } +} diff --git a/tests/cpp/flow_policy_tests.cpp b/tests/cpp/flow_policy_tests.cpp index 9d3d94f..3dbfeec 100644 --- a/tests/cpp/flow_policy_tests.cpp +++ b/tests/cpp/flow_policy_tests.cpp @@ -292,10 +292,10 @@ TEST(FlowPolicyConfig, SeveralDefectsReportTheFirstInTheContractOrder) { "selection.tie_break: 97 is not a value of EdgeTieBreak"}, {{zero, FlowPlacement::MaxFlow, Admission::Lossy, bad_sel(std::nullopt, bad_priority), Origin::Optimized}, "selection.priority: 96 is not a value of EdgePriority"}, - // The rows, column by column. - {{Global {}, FlowPlacement::MaxFlow, Admission::Lossy, sel(), Origin::Equal}, "Global does not accept placement"}, - {{Global {}, std::nullopt, Admission::Lossy, sel(), Origin::Equal}, "MAX_FLOW requires admission=LOSSLESS"}, - {{Global {}, std::nullopt, Admission::Lossless, sel(), Origin::Equal}, "Global does not accept selection"}, + // The rows, column by column; Global rejects a selection before its row. + {{Global {}, FlowPlacement::MaxFlow, Admission::Lossy, sel(), Origin::Equal}, "Global does not accept selection"}, + {{Global {}, FlowPlacement::MaxFlow, Admission::Lossy, std::nullopt, Origin::Equal}, "Global does not accept placement"}, + {{Global {}, std::nullopt, Admission::Lossy, std::nullopt, Origin::Equal}, "MAX_FLOW requires admission=LOSSLESS"}, {{CostOnly {}, std::nullopt, Admission::Lossy, sel(), Origin::Optimized}, "CostOnly requires placement"}, {{CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy, sel(), Origin::Optimized}, "CostOnly with EQUAL_BALANCED or WEIGHTED requires origin=EQUAL"}, diff --git a/tests/cpp/pooled_origin_tests.cpp b/tests/cpp/pooled_origin_tests.cpp index 6cd4ef2..2b1b76a 100644 --- a/tests/cpp/pooled_origin_tests.cpp +++ b/tests/cpp/pooled_origin_tests.cpp @@ -186,14 +186,16 @@ TEST(ConfigOrigin, MatrixTexts) { EXPECT_EQ(cache.stats().misses + cache.stats().hits, 0); } -// The row, then the columns placement, origin, admission, selection; the table -// before the cache check. +// The row, then the columns placement, origin, admission, selection (Global rejects any +// selection before its row); the table before the cache check. TEST(ConfigOrigin, MatrixOrder) { EXPECT_EQ(construct_error(kB1, {0, 1}, {3}, FlowPolicyConfig {Global {}, FlowPlacement::MaxFlow, Admission::Lossy, PathSelection()}), + "Global does not accept selection"); + EXPECT_EQ(construct_error(kB1, {0, 1}, {3}, FlowPolicyConfig {Global {}, FlowPlacement::MaxFlow, Admission::Lossy}), "Global does not accept placement"); EXPECT_EQ(construct_error(kB1, {0, 1}, {3}, - FlowPolicyConfig {Global {}, std::nullopt, Admission::Lossy, PathSelection(), Origin::Equal}), + FlowPolicyConfig {Global {}, std::nullopt, Admission::Lossy, std::nullopt, Origin::Equal}), "MAX_FLOW requires admission=LOSSLESS"); EXPECT_EQ(construct_error(kPool, {0, 1}, {3}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossless, kPreferPath, Origin::Optimized)), diff --git a/tests/cpp/state_comparators.hpp b/tests/cpp/state_comparators.hpp index 2f0bea9..48676d5 100644 --- a/tests/cpp/state_comparators.hpp +++ b/tests/cpp/state_comparators.hpp @@ -194,7 +194,8 @@ inline Epoch epoch(const FlowPolicy& p) { const auto& pe = detail::PolicyAccess::engine(p); const auto& ep = pe.epoch; Epoch e {ep.requested, ep.offered, ep.infinite, ep.prepared, p.placed_demand(), ep.curve, ep.program.get(), - program_snapshot(ep.program.get()), ep.plan, ep.support, ep.head_lost, ep.by_tunnel, {}}; + program_snapshot(ep.program.get()), ep.plan ? std::optional(*ep.plan) : std::nullopt, ep.support, + ep.head_lost, ep.by_tunnel, {}}; for (const auto& c : ep.cohorts) { auto& out = e.cohorts.emplace_back(); for (const auto& f : c) out.push_back({f.id, f.cost, f.bundle ? ascending_edges(*f.bundle) : std::vector {}, f.entry}); diff --git a/tests/cpp/test_utils.hpp b/tests/cpp/test_utils.hpp index 284ae4a..193114f 100644 --- a/tests/cpp/test_utils.hpp +++ b/tests/cpp/test_utils.hpp @@ -10,6 +10,7 @@ #include #include #include +#include #include #include #include @@ -1146,4 +1147,132 @@ inline Amount lossless_bound(std::size_t H, const std::vector& tunnel } // namespace t1_reference +// An independent reference of T2 (contract 7.2, 7.3, 7.7) for small graphs: every multiset of k +// simple paths per live head (a count vector x) by brute force; U = the largest +// min over used edges of floor(V / x), s* = the largest min of V / x (an exact fraction), and the +// minimum (J, Phi) over the vectors with x u <= V. It calls none of the library's flow, search or +// apportionment code (its own path enumeration, Int128 arithmetic). +namespace t2_reference { + +// Every simple path from `src` that ends at the first destination it meets, over the allowed edges +// that do not leave a destination. +inline std::vector> paths(const Graph& g, const Eligibility* elig, NodeId src, + const std::vector& is_dst) { + const auto n = static_cast(g.num_nodes()); + std::vector> found; + std::vector walk; + std::vector on(n, 0); + std::function dfs = [&](NodeId u) { + on[static_cast(u)] = 1; + for (EdgeId e = 0; e < g.num_edges(); ++e) { + const auto ei = static_cast(e); + if (g.edge_src()[ei] != u) continue; + const NodeId w = g.edge_dst()[ei]; + if (elig != nullptr && (!elig->edge_ok(e) || !elig->node_ok(u) || !elig->node_ok(w))) continue; + if (on[static_cast(w)] != 0) continue; + walk.push_back(e); + if (is_dst[static_cast(w)] != 0) { + found.push_back(walk); + } else { + dfs(w); + } + walk.pop_back(); + } + on[static_cast(u)] = 0; + }; + if (is_dst[static_cast(src)] == 0) dfs(src); + return found; +} + +struct Result { + std::vector live {}; + Amount U {0}; + std::pair fluid {0, 1}; // reduced + std::optional> best {}; // the minimum (J, Phi) at u +}; + +// floor(2^32 (B - V + j u) / B). +inline Int128 slot_price(Amount B, Amount V, Amount j, Amount u) { + return (Int128(B - V + j * u) * Int128(std::int64_t {1} << 32)) / Int128(B); +} + +// T2 at count k for the roster `heads` (ascending) on V; `u_of(U)` gives the working size at U. +inline Result solve(const Graph& g, const Eligibility* elig, const std::vector& heads, + const std::vector& dests, std::int64_t k, const std::vector& V, + const std::function& u_of, bool headroom) { + std::vector is_dst(static_cast(g.num_nodes()), 0); + for (NodeId d : dests) { + if (elig == nullptr || elig->node_ok(d)) is_dst[static_cast(d)] = 1; + } + Result out; + std::vector>> per; + for (NodeId h : heads) { + auto ps = paths(g, elig, h, is_dst); + const bool live = std::any_of(ps.begin(), ps.end(), [&](const auto& p) { + return std::all_of(p.begin(), p.end(), [&](EdgeId e) { return V[static_cast(e)] >= 1; }); + }); + if (!live) continue; + out.live.push_back(h); + per.push_back(std::move(ps)); + } + if (out.live.empty()) return out; + // Every count vector: per live head a nondecreasing choice of k path indices. + std::vector> xs; + std::vector x(static_cast(g.num_edges()), 0); + std::function pick = [&](std::size_t h, std::int64_t left, + std::size_t from) { + if (h == per.size()) { + xs.push_back(x); + return; + } + if (left == 0) { + pick(h + 1, k, 0); + return; + } + for (std::size_t i = from; i < per[h].size(); ++i) { + for (EdgeId e : per[h][i]) ++x[static_cast(e)]; + pick(h, left - 1, i); + for (EdgeId e : per[h][i]) --x[static_cast(e)]; + } + }; + pick(0, k, 0); + // U and s*: the largest common size over the vectors (fractions compared exactly). + bool have = false; + for (const auto& c : xs) { + Amount size = std::numeric_limits::max(); + std::pair frac {1, 0}; // +inf + for (std::size_t e = 0; e < c.size(); ++e) { + if (c[e] == 0) continue; + size = std::min(size, V[e] / c[e]); + if (frac.second == 0 || Int128(V[e]) * frac.second < Int128(frac.first) * c[e]) frac = {V[e], c[e]}; + } + out.U = std::max(out.U, size); + if (!have || Int128(frac.first) * out.fluid.second > Int128(out.fluid.first) * frac.second) { + out.fluid = frac; + have = true; + } + } + const Amount d = std::gcd(out.fluid.first, out.fluid.second); + out.fluid = {out.fluid.first / d, out.fluid.second / d}; + if (out.U == 0) return out; + const Amount u = u_of(out.U); + for (const auto& c : xs) { + bool fits = true; + Int128 J = 0; + Int128 phi = 0; + for (std::size_t e = 0; e < c.size(); ++e) { + if (c[e] == 0) continue; + fits = fits && c[e] * u <= V[e]; + J = J + Int128(g.cost()[e]) * c[e]; + const Amount B = g.capacity_units()[e]; + for (Amount j = 1; headroom && B > 0 && j <= c[e]; ++j) phi = phi + slot_price(B, V[e], j, u); + } + if (!fits) continue; + if (!out.best.has_value() || std::pair {J, phi} < *out.best) out.best = std::pair {J, phi}; + } + return out; +} + +} // namespace t2_reference + } // namespace netgraph::core::test diff --git a/tests/cpp/tunnels_t1_tests.cpp b/tests/cpp/tunnels_t1_tests.cpp index 51b482b..7eab8a4 100644 --- a/tests/cpp/tunnels_t1_tests.cpp +++ b/tests/cpp/tunnels_t1_tests.cpp @@ -770,8 +770,9 @@ TEST(T1Operations, DesignValidationAndTerminations) { } } -// No certificate for T1 (total_cost, min_cut, cost_distribution absent), and plan -// only for T1 (absent for the other models, Pinned over a T1 program too). +// No certificate for T1 (total_cost, min_cut, cost_distribution absent), and a plan only for +// the tunnel models (T1 here, T2 in tunnels_t2_tests.cpp; absent for the other models, Pinned +// over a T1 program too). TEST(T1Operations, NoCertificatesAndPlanOnlyForT1) { const auto g = twoh(2, 10); auto p = make(g, {0, 1}, {2}, t1(2)); diff --git a/tests/cpp/tunnels_t2_tests.cpp b/tests/cpp/tunnels_t2_tests.cpp new file mode 100644 index 0000000..214acea --- /dev/null +++ b/tests/cpp/tunnels_t2_tests.cpp @@ -0,0 +1,1328 @@ +// T2 (Global(tunnels=Tunnels(N)), Tunnels(L, up_to)): a controller lays out, for every live head, +// the same number of single-path tunnels with one common whole-unit planned bandwidth (contract +// section 7): the contract's T2 examples and calls (7.4 to 7.9, 8.5), sizing, the objectives and +// the canonical tie, count selection, operations, programs, replays and stale forwarding (8.1, 8.4, +// 8.6), records, rows, flags and terminations (10.4, 14.1, 14.2), T2's evaluators (12), the +// numeric ranges of its sums, zero offers and everything masked. Every +// expected value is derived by hand or copied from the contract's examples, never from a build; +// the property test compares random small cases with t2_reference (test_utils.hpp), a brute force +// over path multisets that calls none of the library's flow, search or apportionment code. +#include + +#include +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/ledger_access.hpp" +#include "netgraph/core/detail/policy_engine.hpp" +#include "netgraph/core/detail/tunnels.hpp" +#include "netgraph/core/evaluators.hpp" +#include "netgraph/core/flow_ledger.hpp" +#include "netgraph/core/flow_policy.hpp" +#include "netgraph/core/program.hpp" +#include "test_utils.hpp" + +using namespace netgraph::core; +using namespace netgraph::core::test; + +namespace { + +constexpr Admission LOSSLESS = Admission::Lossless; +constexpr Admission LOSSY = Admission::Lossy; +constexpr TunnelStatus UP = TunnelStatus::Up; +constexpr TunnelStatus FAILED = TunnelStatus::Failed; +constexpr TunnelStatus BLACKHOLED = TunnelStatus::Blackholed; +const std::optional INF; // +inf +const std::optional> UNLIMITED {std::in_place, std::nullopt}; // design +inf + +using Amounts = std::vector; +using Edges = std::vector; +using Pairs = std::vector>; +using SourceRow = std::tuple; + +std::shared_ptr ordered(std::int32_t n, const std::vector& rows) { + auto g = shared(make_graph(n, rows)); + for (std::size_t i = 0; i < rows.size(); ++i) EXPECT_EQ(g->input_index()[i], static_cast(i)); + return g; +} + +FlowPolicyConfig t2(std::int64_t n, Admission a = LOSSLESS, bool headroom = false, bool up_to = false, + std::optional origin = std::nullopt) { + return {.routing = Global {.tunnels = Tunnels {n, up_to}, .prefer_headroom = headroom}, .admission = a, .origin = origin}; +} + +Amount lo(const Counter128& c) { + EXPECT_EQ(c.hi, 0U); + return static_cast(c.lo); +} +Amount lo(const std::optional& c) { return c.has_value() ? lo(*c) : -1; } +Int128 wide(const Counter128& c) { return int128_of(static_cast(c.hi), c.lo); } + +std::vector source_rows(const PlacementResult& r) { + std::vector out; + for (const auto& s : r.by_source) out.emplace_back(s.source, lo(s.offered), lo(s.admitted), s.delivered, lo(s.source_loss), lo(s.dropped)); + return out; +} +std::vector routes(const ForwardingProgram& p) { + std::vector out; + for (const auto& t : p.tunnels()) out.push_back(t.edges.value_or(Edges {})); + return out; +} +std::vector indices(const ForwardingProgram& p) { + std::vector out; + for (const auto& t : p.tunnels()) out.push_back(t.index); + return out; +} +Amounts counts(const ForwardingProgram& p, std::size_t m) { + Amounts x(m, 0); + for (const auto& t : p.tunnels()) { + for (EdgeId e : *t.edges) ++x[static_cast(e)]; + } + return x; +} +std::vector row_statuses(const PlacementResult& r) { + std::vector out; + for (const auto& t : r.by_tunnel) out.push_back(t.status); + return out; +} + +struct Pol { + std::shared_ptr ledger; + std::unique_ptr p; + FlowPolicy* operator->() const { return p.get(); } +}; +Pol make(const std::shared_ptr& g, std::vector s, std::vector d, const FlowPolicyConfig& c, + const Eligibility* elig = nullptr, std::shared_ptr ledger = nullptr) { + Pol out; + out.ledger = ledger ? std::move(ledger) : std::make_shared(g); + out.p = std::make_unique(*out.ledger, s, d, c, elig); + return out; +} + +const std::vector kG1 = {{0, 1, 8192, 1}, {0, 2, 40960, 1}, {1, 3, 8192, 1}, {2, 3, 40960, 1}}; +std::shared_ptr g1() { return ordered(4, kG1); } +std::shared_ptr one10() { return ordered(2, {{0, 1, 10, 1}}); } +std::shared_ptr twoh(Amount a, Amount b) { return ordered(3, {{0, 2, a, 1}, {1, 2, b, 1}}); } +std::vector g1_paths() { + std::vector out(2, Edges {0, 2}); + out.insert(out.end(), 14, Edges {1, 3}); + return out; +} + +// ---------------------------------------------------------------- the contract's examples (X) + +struct Example { + std::string id; + std::int32_t n; + std::vector rows; + std::vector heads; + NodeId dst; + std::int64_t N; + std::optional D; // nullopt: unlimited + Amounts free; // empty: the capacities + Amount U, u; + std::pair fluid; + Amount F, total, cost; + std::optional phi; + std::vector routes; + std::optional offer; // Lossy + Amount delivery, loss; +}; + +std::vector examples() { + std::vector g4; + for (std::int32_t i = 1; i <= 15; ++i) g4.push_back({0, i, 4096, 1}); + for (std::int32_t i = 1; i <= 15; ++i) g4.push_back({i, 16, 4096, 1}); + std::vector g4_routes(2, Edges {0, 15}); + for (EdgeId i = 1; i <= 14; ++i) g4_routes.push_back({i, 15 + i}); + const std::vector g10 = { + {0, 1, 40960, 1}, {0, 5, 40960, 1}, {0, 3, 24576, 2}, {1, 0, 40960, 1}, {1, 2, 40960, 1}, {1, 4, 16384, 2}, + {2, 1, 40960, 1}, {2, 3, 40960, 1}, {2, 5, 20480, 2}, {3, 2, 40960, 1}, {3, 4, 40960, 1}, {3, 0, 24576, 2}, + {4, 3, 40960, 1}, {4, 5, 40960, 1}, {4, 1, 16384, 2}, {5, 0, 40960, 1}, {5, 4, 40960, 1}, {5, 2, 20480, 2}}; + auto rep = [](std::vector> parts) { + std::vector out; + for (const auto& [p, c] : parts) out.insert(out.end(), static_cast(c), p); + return out; + }; + return { + {"G1 design 49152", 4, kG1, {0}, 3, 16, 49152, {}, 2925, 2925, {20480, 7}, 46812, 46800, 32, 73610035200, g1_paths(), 49152, 47104, 0}, + {"G1 design 8192", 4, kG1, {0}, 3, 16, 8192, {}, 2925, 512, {20480, 7}, 46812, 8192, 32, 12884901876, g1_paths(), {}, 0, 0}, + {"G4 design 61440", 17, g4, {0}, 16, 16, 61440, {}, 2048, 2048, {2048, 1}, 32768, 32768, 32, 73014444032, g4_routes, 61440, 57856, 0}, + {"heads behind 3 and 8", 3, {{0, 2, 3, 1}, {1, 2, 8, 1}}, {0, 1}, 2, 2, 6, {}, 1, 1, {3, 2}, 6, 4, 4, 5905580031, + {{0}, {1}, {0}, {1}}, {}, 0, 0}, + {"a cheap link of 2", 2, {{0, 1, 2, 1}, {0, 1, 10, 2}}, {0}, 1, 2, 2, {}, 5, 1, {5, 1}, 2, 2, 2, 6442450944, {{0}, {0}}, {}, 0, 0}, + {"G10 head 0", 6, g10, {0}, 3, 16, 49152, + {40960, 40960, 24576, 40960, 40960, 16384, 40960, 40960, 20480, 40960, 40960, 24576, 40960, 40960, 16384, 40960, 40960, 20480}, + 6144, 3072, {6144, 1}, 49160, 49152, 40, 38654705652, rep({{{0, 4, 7}, 4}, {{1, 16, 12}, 4}, {{2}, 8}}), {}, 0, 0}, + {"G10 head 1", 6, g10, {1}, 4, 16, 49152, + {28672, 28672, 0, 40960, 28672, 16384, 40960, 28672, 20480, 40960, 40960, 24576, 28672, 40960, 16384, 40960, 28672, 20480}, + 4096, 3072, {4096, 1}, 52431, 49152, 43, {}, rep({{{3, 1, 16}, 6}, {{4, 7, 10}, 5}, {{5}, 5}}), {}, 0, 0}, + {"G10 head 2", 6, g10, {2}, 5, 16, 49152, + {28672, 10240, 0, 22528, 13312, 1024, 40960, 13312, 20480, 40960, 25600, 24576, 28672, 40960, 16384, 40960, 10240, 20480}, + 2560, 2560, {2560, 1}, 40960, 40960, 40, {}, rep({{{6, 3, 1}, 4}, {{7, 10, 13}, 4}, {{8}, 8}}), {}, 0, 0}, + {"a dead head", 3, {{0, 2, 0, 1}, {1, 2, 10, 1}}, {0, 1}, 2, 2, 10, {}, 5, 3, {5, 1}, 0, 6, 2, 3865470565, {{1}, {1}}, 10, 5, 5}, + {"heads behind 2 and 10", 3, {{0, 2, 2, 1}, {1, 2, 10, 1}}, {0, 1}, 2, 2, {}, {}, 1, 1, {1, 1}, 4, 4, 4, 7730941132, + {{0}, {1}, {0}, {1}}, {}, 0, 0}, + {"an idle tunnel", 2, {{0, 1, 10, 1}}, {0}, 1, 4, 3, {}, 2, 1, {5, 2}, 10, 4, 4, 4294967294, {{0}, {0}, {0}, {0}}, 3, 3, 0}, + {"a zero design", 2, {{0, 1, 10, 1}}, {0}, 1, 2, 0, {}, 5, 1, {5, 1}, 10, 2, 2, {}, {{0}, {0}}, 4, 4, 0}, + {"the remainder on the first link", 2, {{0, 1, 3, 1}, {0, 1, 2, 1}}, {0}, 1, 2, 5, {}, 2, 2, {2, 1}, 5, 4, 2, {}, {{0}, {1}}, {}, 0, 0}, + {"the remainder on the second link", 2, {{0, 1, 2, 1}, {0, 1, 3, 1}}, {0}, 1, 2, 5, {}, 2, 2, {2, 1}, 4, 4, 2, {}, {{0}, {1}}, {}, 0, 0}, + {"a tiny head", 3, {{0, 2, 1, 1}, {1, 2, 100, 1}}, {0, 1}, 2, 16, {}, {}, 0, 0, {1, 16}, 0, 0, 0, 0, {}, {}, 0, 0}, + }; // clang-format: the table stays one row per example +} + +// Every T2 example of the contract (7.3 to 7.6), with prefer_headroom as the contract runs them. +TEST(T2Objectives, ContractExamples) { + for (const auto& x : examples()) { + SCOPED_TRACE(x.id); + const auto g = ordered(x.n, x.rows); + auto ledger = x.free.empty() ? std::make_shared(g) : std::make_shared(g, x.free); + auto p = make(g, x.heads, {x.dst}, t2(x.N, LOSSLESS, true), nullptr, ledger); + const auto r = p->replace(INF, x.D.has_value() ? std::optional>(x.D) : UNLIMITED); + ASSERT_TRUE(r.plan.has_value()); + const auto& pl = *r.plan; + EXPECT_EQ(pl.common_share, x.U); + EXPECT_EQ(pl.planned_per_tunnel, x.u); + EXPECT_EQ(pl.fluid_share, x.fluid); + EXPECT_EQ(pl.forwarding_bound, x.F); + EXPECT_EQ(pl.planned_total, x.total); + EXPECT_EQ(lo(pl.route_cost), x.cost); + if (x.phi.has_value()) EXPECT_EQ(lo(pl.headroom_penalty), *x.phi); + EXPECT_EQ(pl.insufficient_resolution, x.U == 0); + EXPECT_EQ(routes(*r.program), x.routes); + for (const auto& t : r.program->tunnels()) { + EXPECT_EQ(t.planned, x.u); + EXPECT_EQ(t.weight, 1); + EXPECT_EQ(t.status, UP); + EXPECT_EQ(t.requested, 0); + EXPECT_EQ(t.reserved, 0); + } + EXPECT_EQ(r.placed, x.F); + EXPECT_EQ(r.termination, Termination::Exhausted); + if (!x.offer.has_value()) continue; + auto lossy_ledger = x.free.empty() ? std::make_shared(g) : std::make_shared(g, x.free); + auto q = make(g, x.heads, {x.dst}, t2(x.N, LOSSY, true), nullptr, lossy_ledger); + const auto s = q->replace(x.offer, x.D.has_value() ? std::optional>(x.D) : UNLIMITED); + EXPECT_EQ(s.placed, x.delivery); + EXPECT_EQ(s.call_source_loss, x.loss); + EXPECT_EQ(routes(*s.program), x.routes); + } +} + +// The 7.9 call (G1 at q = 2^-12, N = 16, prefer_headroom, Lossy replace(49152)). +TEST(T2Objectives, ContractCall) { + const auto g = g1(); + auto p = make(g, {0}, {3}, t2(16, LOSSY, true)); + const auto r = p->replace(Amount {49152}); + ASSERT_TRUE(r.plan.has_value()); + const auto& pl = *r.plan; + EXPECT_EQ(pl.count, 16); + EXPECT_EQ(pl.design_demand, Amount {49152}); + EXPECT_EQ(pl.head_design, (std::vector> {{0, 49152}})); + EXPECT_EQ(pl.reserved_total, 0); + EXPECT_EQ(pl.live_heads, (std::vector {0})); + EXPECT_EQ(pl.insufficient_resolution, false); + EXPECT_EQ(pl.fluid_share, (std::pair {20480, 7})); + EXPECT_EQ(pl.common_share, 2925); + EXPECT_EQ(pl.planned_per_tunnel, 2925); + EXPECT_EQ(pl.planned_total, 46800); + EXPECT_EQ(lo(pl.route_cost), 32); + EXPECT_EQ(lo(pl.headroom_penalty), 73610035200); + EXPECT_EQ(pl.forwarding_bound, 46812); + EXPECT_EQ(r.placed, 47104); + EXPECT_EQ(routes(*r.program), g1_paths()); + Amounts delivered; + for (const auto& t : r.by_tunnel) delivered.push_back(t.delivered); + Amounts want(2, 3072); + want.insert(want.end(), 10, 2926); + want.insert(want.end(), 4, 2925); + EXPECT_EQ(delivered, want); + EXPECT_EQ(r.call_drops, (Pairs {{1, 2048}})); + EXPECT_FALSE(r.reservations_changed); +} + +// A plan books nothing: no hold, no reserved_edges. +TEST(LedgerProjections, T2BooksNothing) { + const auto g = g1(); + auto p = make(g, {0}, {3}, t2(16, LOSSY, true)); + (void)p->replace(Amount {49152}); + EXPECT_EQ(p.ledger->reserved(), (Amounts {0, 0, 0, 0})); + EXPECT_EQ(p.ledger->unreserved(), (Amounts {8192, 40960, 8192, 40960})); + for (const auto& rec : p->records()) EXPECT_TRUE(rec.reserved_edges.empty()); + EXPECT_EQ(p->records().size(), 16U); +} + +// Without prefer_headroom the cost tie goes to the smallest keys. +TEST(T2Objectives, HeadroomOff) { + const auto g = g1(); + auto p = make(g, {0}, {3}, t2(16, LOSSY)); + const auto r = p->replace(Amount {49152}); + EXPECT_EQ(counts(*r.program, 4), (Amounts {2, 14, 2, 14})); + EXPECT_EQ(r.plan->forwarding_bound, 46812); + EXPECT_EQ(r.placed, 47104); + EXPECT_FALSE(r.plan->headroom_penalty.has_value()); + auto q = make(g, {0}, {3}, t2(16)); + const auto s = q->replace(INF, Amount {8192}); + EXPECT_EQ(s.plan->planned_per_tunnel, 512); + EXPECT_EQ(counts(*s.program, 4), (Amounts {16, 0, 16, 0})); + EXPECT_EQ(s.plan->forwarding_bound, 8192); + const auto par = ordered(2, {{0, 1, 4, 1}, {0, 1, 12, 1}}); + auto h = make(par, {0}, {1}, t2(2, LOSSLESS, true)); + const auto a = h->replace(INF, Amount {2}); + EXPECT_EQ(a.plan->common_share, 6); + EXPECT_EQ(a.plan->planned_per_tunnel, 1); + EXPECT_EQ(routes(*a.program), (std::vector {{1}, {1}})); + EXPECT_EQ(a.plan->forwarding_bound, 12); + EXPECT_EQ(lo(a.plan->headroom_penalty), 1073741823); + auto c = make(par, {0}, {1}, t2(2)); + const auto b = c->replace(INF, Amount {2}); + EXPECT_EQ(routes(*b.program), (std::vector {{0}, {0}})); + EXPECT_EQ(b.plan->forwarding_bound, 4); +} + +// prefer_headroom off and on: two equal-cost parallel links of 10, one head, N = 2, D = 2: U = 10, +// u = 1. Off, the canonical tie puts both tunnels on link 0 (bound 10, Lossy 12 delivers 10); on, +// the second tunnel pays floor(2^32 / 10) on link 1 against floor(2^32 2 / 10) for a second slot on +// link 0 (Phi = 2 floor(2^32 / 10) = 858993458, bound 20, Lossy 12 delivers 12). Both plan 2. +TEST(T2Objectives, PreferHeadroomExample) { + const auto g = ordered(2, {{0, 1, 10, 1}, {0, 1, 10, 1}}); + for (const bool on : {false, true}) { + SCOPED_TRACE(on); + auto p = make(g, {0}, {1}, t2(2, LOSSY, on)); + const auto r = p->replace(Amount {12}, Amount {2}); + EXPECT_EQ(r.plan->common_share, 10); + EXPECT_EQ(r.plan->planned_per_tunnel, 1); + EXPECT_EQ(r.plan->planned_total, 2); + EXPECT_EQ(lo(r.plan->route_cost), 2); + EXPECT_EQ(counts(*r.program, 2), on ? (Amounts {1, 1}) : (Amounts {2, 0})); + EXPECT_EQ(r.plan->headroom_penalty, on ? std::optional(Counter128 {0, 858993458}) : std::nullopt); + EXPECT_EQ(r.plan->forwarding_bound, on ? 20 : 10); + EXPECT_EQ(r.placed, on ? 12 : 10); + } +} + +// A reverse arc (the second unit cancels the first unit's middle link) and a preload (the slot prices +// read the static capacity B: ONE10 with 6 units free, N = 2, D = 4: U = 3, u = 2, Phi = +// floor(2^32 6 / 10) + floor(2^32 8 / 10)). +TEST(T2Objectives, ReverseArcsAndPreloadedPrices) { + const auto g = ordered(4, {{0, 1, 1, 1}, {0, 2, 1, 5}, {1, 2, 1, 1}, {1, 3, 1, 5}, {2, 3, 1, 1}}); + auto p = make(g, {0}, {3}, t2(2)); + const auto r = p->replace(INF); + EXPECT_EQ(r.plan->common_share, 1); + EXPECT_EQ(routes(*r.program), (std::vector {{0, 3}, {1, 4}})); + EXPECT_EQ(lo(r.plan->route_cost), 12); + const auto one = one10(); + const Amounts six {6}; + auto q = make(one, {0}, {1}, t2(2, LOSSLESS, true), nullptr, std::make_shared(one, six)); + const auto s = q->replace(INF, Amount {4}); + EXPECT_EQ(s.plan->common_share, 3); + EXPECT_EQ(s.plan->planned_per_tunnel, 2); + EXPECT_EQ(lo(s.plan->headroom_penalty), 2576980377 + 3435973836); +} + +// Heads behind 3 and 8: the tunnels in round order, local indices 0, 0, 1, 1. +TEST(T2Objectives, RoundIndices) { + const auto g = ordered(3, {{0, 2, 3, 1}, {1, 2, 8, 1}}); + auto p = make(g, {0, 1}, {2}, t2(2)); + const auto r = p->replace(INF, Amount {6}); + std::vector> got; + for (const auto& t : r.program->tunnels()) got.emplace_back(t.index, t.head, t.local_index, *t.edges); + EXPECT_EQ(got, (std::vector> { + {0, 0, 0, {0}}, {1, 1, 0, {1}}, {2, 0, 1, {0}}, {3, 1, 1, {1}}})); +} + +std::vector> head_routes(const ForwardingProgram& p) { + std::vector> out; + for (const auto& t : p.tunnels()) out.emplace_back(t.head, t.edges.value_or(Edges {})); + return out; +} + +// The root-arc keys (1, head NodeId, direction): when the heads' first walks tie (price 2, four arcs +// each), the smaller head goes first. Every link capacity 1, cost 1, N = 1, U = u = 1, every slot +// price 2^32, so prefer_headroom changes nothing. (a) e0 0-2, e1 0-4, e2 1-2, e3 1-5, e4 2-3, e5 4-3, +// e6 5-3: head 0 takes e0 e4 (smallest link key at 0); head 1 then takes e3 e6 (four arcs) rather +// than e2, e0 reversed, e1, e5 (six). Heads in descending order would give head 1 e2 e4 and head 0 +// e1 e5. (b) e0 0-2, e1 0-5, e2 1-2, e3 1-4, e4 2-3, e5 4-3, e6 5-3: head 0 e0 e4, head 1 e3 e5; +// descending: head 1 e2 e4, head 0 e1 e6. +TEST(T2Objectives, RootKeyTie) { + const auto a = ordered(6, {{0, 2, 1, 1}, {0, 4, 1, 1}, {1, 2, 1, 1}, {1, 5, 1, 1}, {2, 3, 1, 1}, {4, 3, 1, 1}, {5, 3, 1, 1}}); + const auto b = ordered(6, {{0, 2, 1, 1}, {0, 5, 1, 1}, {1, 2, 1, 1}, {1, 4, 1, 1}, {2, 3, 1, 1}, {4, 3, 1, 1}, {5, 3, 1, 1}}); + for (const bool headroom : {false, true}) { + auto p = make(a, {0, 1}, {3}, t2(1, LOSSLESS, headroom)); + EXPECT_EQ(head_routes(*p->replace(INF).program), (std::vector> {{0, {0, 4}}, {1, {3, 6}}})); + auto q = make(b, {0, 1}, {3}, t2(1, LOSSLESS, headroom)); + EXPECT_EQ(head_routes(*q->replace(INF).program), (std::vector> {{0, {0, 4}}, {1, {3, 5}}})); + } +} + +// Fewest arcs before keys (7.3), prefer_headroom off: the direct link ties the longer walk on +// cost and has fewer arcs; the smallest keys alone would take the walk. (a) e0 0-1 (cost 1), e1 0-2 +// (cost 2), e2 1-2 (cost 1): e1 (three arcs against four), keys alone e0 e2. (b) e0 0-1, e1 0-3 +// (cost 3), e2 1-2, e3 2-3 (cost 1 each): e1, keys alone e0 e2 e3. Capacities 1, N = 1. +TEST(T2Objectives, FewestArcsBeforeKeys) { + auto p = make(ordered(3, {{0, 1, 1, 1}, {0, 2, 1, 2}, {1, 2, 1, 1}}), {0}, {2}, t2(1)); + EXPECT_EQ(routes(*p->replace(INF).program), (std::vector {{1}})); + auto q = make(ordered(4, {{0, 1, 1, 1}, {0, 3, 1, 3}, {1, 2, 1, 1}, {2, 3, 1, 1}}), {0}, {3}, t2(1)); + EXPECT_EQ(routes(*q->replace(INF).program), (std::vector {{1}})); +} + +// The cut into unit walks (7.3): live heads ascending, each walk along the smallest positive EdgeId. +// (a) e0 0-1 (capacity 2), e1 1-2 (2), e2 1-2 (3), cost 2 each, heads 0 and 1, N = 2, U = u = 1: +// head 1's two units take e1 (cost 2 against head 0's 4), head 0's e0 then e2; x = (2, 2, 2). Head 0 +// cuts first: e0 e1 twice, leaving e2 twice to head 1 (the largest EdgeId would give head 0 e0 e2 +// and head 1 e1). (b) e0 0-2, e1 1-2, e2 2-3, e3 2-4, e4 3-5, e5 4-5, capacity 1, cost 1, N = 1: +// x is all ones; head 0 takes e0 e2 e4, head 1 e1 e3 e5 (the largest EdgeId: e0 e3 e5 and e1 e2 e4). +TEST(T2Objectives, CutIntoUnitWalks) { + auto p = make(ordered(3, {{0, 1, 2, 2}, {1, 2, 2, 2}, {1, 2, 3, 2}}), {0, 1}, {2}, t2(2)); + EXPECT_EQ(head_routes(*p->replace(INF).program), + (std::vector> {{0, {0, 1}}, {1, {2}}, {0, {0, 1}}, {1, {2}}})); + auto q = make(ordered(6, {{0, 2, 1, 1}, {1, 2, 1, 1}, {2, 3, 1, 1}, {2, 4, 1, 1}, {3, 5, 1, 1}, {4, 5, 1, 1}}), {0, 1}, + {5}, t2(1)); + EXPECT_EQ(head_routes(*q->replace(INF).program), + (std::vector> {{0, {0, 2, 4}}, {1, {1, 3, 5}}})); +} + +// The route cost above 2^64 (WIDE: one link of 16 at cost 2^61 + 1, N = 16, D = 16). +TEST(T2Objectives, WideRouteCost) { + const auto g = ordered(2, {{0, 1, 16, (Cost {1} << 61) + 1}}); + auto p = make(g, {0}, {1}, t2(16)); + const auto r = p->replace(INF, Amount {16}); + ASSERT_TRUE(r.plan->route_cost.has_value()); + EXPECT_EQ(wide(*r.plan->route_cost), Int128(16) * Int128((std::int64_t {1} << 61) + 1)); + EXPECT_EQ(r.plan->route_cost->hi, 2U); +} + +// A slot price is at most 2^32 (j u <= V): a full link of 10 with 10 tunnels at u = 1 +// pays floor(2^32 j / 10) for j = 1..10, the last exactly 2^32: 55 * 2^32 / 10 minus the dropped +// fractions (0.6, 0.2, 0.8, 0.4, 0, 0.6, 0.2, 0.8, 0.4, 0: 4 in all) = 23622320124. +TEST(T2Objectives, PenaltyBound) { + auto p = make(one10(), {0}, {1}, t2(10, LOSSLESS, true)); + const auto r = p->replace(INF, Amount {10}); + EXPECT_EQ(r.plan->planned_per_tunnel, 1); + EXPECT_EQ(lo(r.plan->headroom_penalty), 23622320124); +} + +// floor(2^32 m / B) for 0 <= m <= B < 2^62, by binary long division in 64 bits (independent of the +// library's 128-bit helpers). +std::uint64_t slot_price_by_division(std::uint64_t m, std::uint64_t B) { + if (m == B) return std::uint64_t {1} << 32; + std::uint64_t rem = m; + std::uint64_t q = 0; + for (int bit = 0; bit < 32; ++bit) { + rem <<= 1; // below 2 B < 2^63 + q <<= 1; + if (rem >= B) { + rem -= B; + q |= 1; + } + } + return q; +} + +// The closed-form penalty of t2_objectives equals the slot-by-slot sum of 7.3 on one link (random +// B up to 2^62 - 1, V <= B, u and x with x u <= V, x up to 3000), summed here with its own carry. +TEST(T2Objectives, PenaltySumsEverySlot) { + std::mt19937_64 rng(4242); + const std::vector edges {0}; + for (int trial = 0; trial < 3000; ++trial) { + const int scale = trial % 4; + const Amount B = scale == 0 ? Amount(1 + rng() % 20) + : scale == 1 ? Amount(1 + rng() % 100000) + : scale == 2 ? Amount(1 + rng() % (Amount {1} << 40)) + : kL62 - 1 - Amount(rng() % 1000); + const Amount V = Amount(rng() % static_cast(B + 1)); + if (V == 0) continue; + const Amount u = trial % 3 == 0 ? 1 : 1 + Amount(rng() % static_cast(V)); + const Amount x = std::min(V / u, Amount(rng() % 3001)); + std::uint64_t hi = 0; + std::uint64_t lo = 0; + for (Amount j = 1; j <= x; ++j) { + const std::uint64_t price = slot_price_by_division(static_cast(B - V + j * u), static_cast(B)); + lo += price; + if (lo < price) ++hi; + } + const auto g = ordered(2, {{0, 1, B, 3}}); + const std::vector xs {x}; + const std::vector free {V}; + const auto obj = detail::t2_objectives(*g, edges, xs, free, u, true); + ASSERT_EQ(obj.headroom_penalty, (Counter128 {hi, lo})) << "B " << B << " V " << V << " u " << u << " x " << x; + ASSERT_EQ(obj.route_cost, (Counter128 {0, static_cast(3 * x)})); + ASSERT_EQ(detail::t2_objectives(*g, edges, xs, free, u, false).headroom_penalty, Counter128 {}); + } +} + +// The penalty past 2^64, with a carry into the high word, as a plan publishes it (no layout reaches +// it in a test's time: it takes 2^32 slots). One link B = V = 2^33, u = 1, x = 2^33: slot j pays +// floor(2^32 j / 2^33) = floor(j / 2), and the slots 2i - 1, 2i pay 2i - 1, so the sum is +// (2^32)^2 = 2^64 exactly. Three links B = V = 2^32, u = 1, x = 2^32: slot j pays j, each link +// 2^32 (2^32 + 1) / 2 = 2^63 + 2^31, the three 2^64 + 2^63 + 3 * 2^31; J = 3 * 2^32 (cost 1). +TEST(T2Objectives, PenaltyAboveTwoTo64) { + const Amount p32 = Amount {1} << 32; + const auto one = ordered(2, {{0, 1, 2 * p32, 1}}); + const std::vector e0 {0}; + const auto a = detail::t2_objectives(*one, e0, std::vector {2 * p32}, std::vector {2 * p32}, 1, true); + EXPECT_EQ(a.headroom_penalty, (Counter128 {1, 0})); + EXPECT_EQ(a.route_cost, (Counter128 {0, std::uint64_t {1} << 33})); + const auto three = ordered(4, {{0, 1, p32, 1}, {1, 2, p32, 1}, {2, 3, p32, 1}}); + const std::vector e012 {0, 1, 2}; + const std::vector x3 {p32, p32, p32}; + const auto b = detail::t2_objectives(*three, e012, x3, x3, 1, true); + EXPECT_EQ(b.headroom_penalty, (Counter128 {1, (std::uint64_t {1} << 63) + 3 * (std::uint64_t {1} << 31)})); + EXPECT_EQ(b.route_cost, (Counter128 {0, 3 * static_cast(p32)})); + // More slots than the free capacity holds is an internal contradiction. + EXPECT_THROW((void)detail::t2_objectives(*one, e0, std::vector {3}, std::vector {2}, 1, true), + std::logic_error); +} + +// ---------------------------------------------------------------- up to L (7.7) + +// Up to: G1 up to 6, a common size, a dead head, a tiny head: the chosen count, +// the routes, the lossless delivery of D; with every head live, F'(k) is EXACT(k)'s bound. +TEST(T2UpTo, ContractExamples) { + struct Case { + std::string id; + std::int32_t n; + std::vector rows; + std::vector heads; + NodeId dst; + std::int64_t L; + std::optional D; + std::int64_t k; + std::vector routes; + Amount delivered; + Amounts bounds; + }; + std::vector g1k6 {{0, 2}}; + g1k6.insert(g1k6.end(), 5, Edges {1, 3}); + const std::vector cases = { + {"G1 up to 6", 4, kG1, {0}, 3, 6, 49152, 6, g1k6, 49152, {40960, 40960, 40960, 40960, 40960, 49152}}, + {"up to, a common size", 4, {{0, 3, 6, 1}, {1, 3, 3, 1}, {1, 3, 3, 1}}, {0, 1}, 3, 2, 12, 2, {{0}, {1}, {0}, {2}}, 12, {7, 12}}, + {"up to, a dead head", 3, {{0, 2, 0, 1}, {1, 2, 10, 1}}, {0, 1}, 2, 2, 10, 1, {{1}}, 0, {}}, + {"up to, a tiny head", 3, {{0, 2, 1, 1}, {1, 2, 100, 1}}, {0, 1}, 2, 3, {}, 1, {{0}, {1}}, 2, {2, 0, 0}}, + }; + for (const auto& c : cases) { + SCOPED_TRACE(c.id); + const auto g = ordered(c.n, c.rows); + auto p = make(g, c.heads, {c.dst}, t2(c.L, LOSSLESS, true, true)); + const auto r = p->replace(c.D.has_value() ? c.D : INF); + EXPECT_EQ(r.plan->count, c.k); + EXPECT_EQ(routes(*r.program), c.routes); + EXPECT_EQ(r.placed, c.delivered); + for (std::size_t k = 1; k <= c.bounds.size(); ++k) { + auto q = make(g, c.heads, {c.dst}, t2(static_cast(k), LOSSLESS, true)); + EXPECT_EQ(q->replace(INF).placed, c.bounds[k - 1]) << k; + } + } +} + +// Three parallel links of 6, 5 and 4, D = 11, up to 3. k = 1: U = 6, F'(1) = 6. k = 2: U = 5 (one +// tunnel on the 6-link, one on the 5-link), the bounds 10 and 11 leave the score open, F'(2) = 11 +// (z = 11 gives 6 and 5) = D: chosen. k = 3: U = 4, its lower bound min(11, 3 * 4) already reaches +// D, so a budget F'(2) one unit low would choose 3. +TEST(T2UpTo, ReachesTheDesignExactly) { + const auto g = ordered(2, {{0, 1, 6, 1}, {0, 1, 5, 1}, {0, 1, 4, 1}}); + auto p = make(g, {0}, {1}, t2(3, LOSSLESS, false, true)); + const auto r = p->replace(Amount {11}); + EXPECT_EQ(r.plan->count, 2); + EXPECT_EQ(r.plan->common_share, 5); + EXPECT_EQ(r.plan->planned_per_tunnel, 5); + EXPECT_EQ(routes(*r.program), (std::vector {{0}, {1}})); + EXPECT_EQ(r.placed, 11); +} + +// G1, up to 6, Lossless replace(inf): count 6, placed 49152. +TEST(T2UpTo, Unlimited) { + auto p = make(g1(), {0}, {3}, t2(6, LOSSLESS, true, true)); + const auto r = p->replace(INF); + EXPECT_EQ(r.plan->count, 6); + EXPECT_EQ(r.placed, 49152); + EXPECT_EQ(r.plan->design_demand, std::nullopt); + EXPECT_TRUE(r.plan->head_design.empty()); +} + +// ---------------------------------------------------------------- operations (U) + +// An unlimited design (D = offer = +inf): u = U. +TEST(T2Operations, UnlimitedDesign) { + auto p = make(g1(), {0}, {3}, t2(16, LOSSLESS, true)); + const auto r = p->replace(INF); + EXPECT_EQ(r.plan->planned_per_tunnel, 2925); + EXPECT_TRUE(r.plan->head_design.empty()); + EXPECT_EQ(r.plan->design_demand, std::nullopt); + EXPECT_EQ(r.placed, 46812); + EXPECT_EQ(r.termination, Termination::Exhausted); +} + +// Every head dead: no tunnel, a plan of zeros (count N, 1 for "up to"), the offer lost at +// the heads (Lossy COMPLETE, Lossless EXHAUSTED); "up to" counts 1. +TEST(T2Operations, AllDead) { + const auto g = twoh(0, 0); + for (const bool up : {false, true}) { + for (const auto a : {LOSSY, LOSSLESS}) { + auto p = make(g, {0, 1}, {2}, t2(up ? 3 : 2, a, false, up)); + const auto r = p->replace(Amount {10}, Amount {10}); + const auto& pl = *r.plan; + EXPECT_EQ(pl.count, up ? 1 : 2); + EXPECT_EQ(pl.head_design, (std::vector> {{0, 5}, {1, 5}})); + EXPECT_EQ(pl.live_heads, std::vector {}); + EXPECT_EQ(pl.insufficient_resolution, false); + EXPECT_EQ(pl.fluid_share, (std::pair {0, 1})); + EXPECT_EQ(pl.common_share, 0); + EXPECT_EQ(pl.planned_per_tunnel, 0); + EXPECT_EQ(pl.planned_total, 0); + EXPECT_EQ(lo(pl.route_cost), 0); + EXPECT_FALSE(pl.headroom_penalty.has_value()); + EXPECT_EQ(pl.forwarding_bound, 0); + EXPECT_TRUE(r.program->tunnels().empty()); + EXPECT_EQ(r.placed, 0); + EXPECT_TRUE(p->records().empty()); + if (a == LOSSY) { + EXPECT_EQ(r.call_source_loss, 10); + EXPECT_EQ(r.termination, Termination::Complete); + EXPECT_EQ(source_rows(r), (std::vector {{0, 5, 5, 0, 5, 0}, {1, 5, 5, 0, 5, 0}})); + } else { + EXPECT_EQ(r.termination, Termination::Exhausted); + } + } + } +} + +// A tiny head, forwarding without tunnels: U = 0 with live heads: no tunnel, +// insufficient_resolution; an installed program keeping the roster that forward reuses. +TEST(T2Operations, InsufficientResolution) { + const auto g = twoh(1, 100); + for (const auto a : {LOSSY, LOSSLESS}) { + auto p = make(g, {0, 1}, {2}, t2(16, a)); + const auto r = p->replace(Amount {200}, Amount {200}); + EXPECT_EQ(r.plan->insufficient_resolution, true); + EXPECT_EQ(r.plan->fluid_share, (std::pair {1, 16})); + EXPECT_EQ(r.plan->common_share, 0); + EXPECT_EQ(r.plan->live_heads, (std::vector {0, 1})); + EXPECT_TRUE(r.program->tunnels().empty()); + ASSERT_NE(p->program(), nullptr); + EXPECT_EQ(r.placed, 0); + const auto f = p->forward(Amount {10}); + if (a == LOSSY) { + EXPECT_EQ(source_rows(r), (std::vector {{0, 100, 100, 0, 100, 0}, {1, 100, 100, 0, 100, 0}})); + EXPECT_EQ(f.call_source_loss, 10); + EXPECT_EQ(f.termination, Termination::Complete); + EXPECT_EQ(source_rows(f), (std::vector {{0, 5, 5, 0, 5, 0}, {1, 5, 5, 0, 5, 0}})); + } else { + EXPECT_EQ(r.termination, Termination::Exhausted); + EXPECT_EQ(f.placed, 0); + EXPECT_EQ(f.termination, Termination::Exhausted); + } + EXPECT_EQ(f.plan, r.plan); + } +} + +// A dead head: indices 1 and 3; the rows; two records (entries 1, 3). +TEST(T2Operations, DeadHead) { + auto p = make(twoh(0, 10), {0, 1}, {2}, t2(2, LOSSY)); + const auto r = p->replace(Amount {10}, Amount {10}); + EXPECT_EQ(indices(*r.program), (std::vector {1, 3})); + EXPECT_EQ(source_rows(r), (std::vector {{0, 5, 5, 0, 5, 0}, {1, 5, 5, 5, 0, 0}})); + std::vector> entries; + for (const auto& rec : p->records()) entries.push_back(rec.entry); + std::sort(entries.begin(), entries.end()); + EXPECT_EQ(entries, (std::vector> {1, 3})); +} + +// OPTIMIZED with one source is the EQUAL calculation; equal sources. +TEST(T2Operations, OptimizedOneSource) { + const auto g = g1(); + auto a = make(g, {0}, {3}, t2(16, LOSSY, true)); + auto b = make(g, {0}, {3}, t2(16, LOSSY, true, false, Origin::Optimized)); + const auto ra = a->replace(Amount {49152}); + const auto rb = b->replace(Amount {49152}); + EXPECT_EQ(ra.plan, rb.plan); + EXPECT_EQ(routes(*ra.program), routes(*rb.program)); + EXPECT_EQ(ra.by_tunnel, rb.by_tunnel); + EXPECT_EQ(ra.call_drops, rb.call_drops); + EXPECT_EQ(b->config().origin, Origin::Optimized); + EXPECT_FALSE(rb.program->source_weights().has_value()); +} + +// Heads behind 2 and 10 against the global optimum, N = 2: common size 1, lossless bound 4; +// optimized Global delivers 12 on the same network. +TEST(T2Operations, TwoHeadsEqualAgainstGlobal) { + const auto g = twoh(2, 10); + auto p = make(g, {0, 1}, {2}, t2(2)); + const auto r = p->replace(INF); + EXPECT_EQ(r.plan->common_share, 1); + EXPECT_EQ(r.placed, 4); + EXPECT_EQ(capacity(*g, v({0, 1}), v({2}), QueryOptions {global_config()}).placed, 12); +} + +// An empty roster: NO_ROUTE, an empty program, a plan of zeros. +TEST(T2Operations, EmptyRoster) { + const auto g = ordered(3, {{1, 2, 5, 1}}); + for (const auto a : {LOSSY, LOSSLESS}) { + auto p = make(g, {0}, {2}, t2(2, a, true)); + const auto r = p->replace(Amount {5}, Amount {5}); + EXPECT_EQ(r.termination, Termination::NoRoute); + EXPECT_TRUE(r.program->tunnels().empty()); + EXPECT_EQ(r.plan->count, 2); + EXPECT_TRUE(r.plan->head_design.empty()); + EXPECT_EQ(r.plan->live_heads, std::vector {}); + EXPECT_EQ(lo(r.plan->headroom_penalty), 0); + EXPECT_EQ(r.plan->forwarding_bound, 0); + } +} + +// A zero design: D = 0 plans at u = 1. +TEST(T2Operations, ZeroDesign) { + auto p = make(one10(), {0}, {1}, t2(2)); + const auto r = p->replace(Amount {0}); + EXPECT_EQ(r.plan->planned_per_tunnel, 1); + EXPECT_EQ(r.program->tunnels().size(), 2U); + for (const auto& t : r.program->tunnels()) EXPECT_EQ(t.planned, 1); + EXPECT_EQ(r.placed, 0); + EXPECT_EQ(r.termination, Termination::Complete); +} + +// Forward keeps the program and the plan, sets no flag. +TEST(T2Operations, Forward) { + const auto g = g1(); + auto p = make(g, {0}, {3}, t2(16, LOSSY, true)); + const auto first = p->replace(Amount {49152}); + const auto f = p->forward(Amount {32768}); + EXPECT_EQ(f.placed, 32768); + EXPECT_FALSE(f.routes_changed || f.weights_changed || f.reservations_changed); + EXPECT_EQ(f.program, first.program); + EXPECT_EQ(f.plan, first.plan); + auto q = make(g, {0}, {3}, t2(16, LOSSLESS, true)); + (void)q->replace(Amount {49152}); + EXPECT_EQ(q->forward(INF).placed, 46812); +} + +// The same routes and weights with another planned size: no flag (a planned size is no +// reservation). +TEST(T2Operations, Flags) { + auto p = make(g1(), {0}, {3}, t2(16, LOSSY, true)); + const auto a = p->replace(Amount {49152}); + const auto b = p->replace(Amount {49152}, Amount {8192}); + EXPECT_FALSE(b.routes_changed || b.weights_changed || b.reservations_changed); + EXPECT_EQ(a.plan->planned_per_tunnel, 2925); + EXPECT_EQ(b.plan->planned_per_tunnel, 512); +} + +// ---------------------------------------------------------------- validation (V) + +// T2's row of the matrix, in order, at the policy and at an evaluator. +TEST(TunnelValidation, T2Matrix) { + const auto g = twoh(10, 10); + FlowLedger fg(g); + const Global tun {.tunnels = Tunnels {2}}; + auto rejects = [&](FlowPolicyConfig c, const std::string& text, DagCache* cache = nullptr) { + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0, 1}), v({2}), c, nullptr, cache); }), text); + EXPECT_TRUE(detail::LedgerAccess::bound_owners(fg).empty()); + if (cache == nullptr) EXPECT_EQ(error_of([&] { (void)capacity(*g, v({0, 1}), v({2}), QueryOptions {c}); }), text); + }; + auto with = [&](auto&& set) { + FlowPolicyConfig c {.routing = tun}; + set(c); + return c; + }; + rejects(with([](auto& c) { c.placement = FlowPlacement::EqualBalanced; }), "T2 does not accept placement"); + rejects(with([](auto& c) { c.weights = WeightBasis::Capacity; }), "T2 does not accept weights"); + rejects(with([](auto& c) { c.edge_weights = std::make_shared>(Amounts {1, 1}); }), + "T2 does not accept edge_weights"); + // Every Global rejects any selection, the default and HEADROOM included, before support and + // tunnels (and so before placement); prefer_headroom without tunnels right after them. + for (const auto& sel : {PathSelection(), PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Headroom)}) { + rejects(with([&](auto& c) { c.selection = sel; }), "Global does not accept selection"); + rejects(FlowPolicyConfig {.routing = Global {}, .selection = sel}, "Global does not accept selection"); + } + const auto dag = dag_of(*g, {0, 1}); + const Global both {.support = dag, .tunnels = Tunnels {2}, .prefer_headroom = true}; + rejects(FlowPolicyConfig {.routing = both, .selection = PathSelection()}, "Global does not accept selection"); + rejects(FlowPolicyConfig {.routing = both}, "Global support and tunnels are mutually exclusive"); + rejects(FlowPolicyConfig {.routing = both, .placement = FlowPlacement::EqualBalanced}, + "Global support and tunnels are mutually exclusive"); + rejects(FlowPolicyConfig {.routing = Global {.prefer_headroom = true}}, "prefer_headroom requires tunnels"); + rejects(FlowPolicyConfig {.routing = Global {.support = dag, .prefer_headroom = true}, .placement = FlowPlacement::EqualBalanced}, + "prefer_headroom requires tunnels"); + rejects(with([](auto& c) { + c.placement = FlowPlacement::EqualBalanced; + c.selection = PathSelection(); + }), + "Global does not accept selection"); + rejects(with([](auto& c) { c.origin = Origin::Optimized; }), "T2 with several sources requires origin=EQUAL"); + DagCache cache(*g); + rejects(FlowPolicyConfig {.routing = tun}, "T2 does not use DagCache", &cache); + // The several-sources rule counts the input sources before the mask; one source with OPTIMIZED is accepted. + const auto mask = g->eligibility(std::vector {1}, {}); + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0, 1}), v({2}), with([](auto& c) { c.origin = Origin::Optimized; }), &mask); }), + "T2 with several sources requires origin=EQUAL"); + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0, 0}), v({2}), with([](auto& c) { c.origin = Origin::Optimized; })); }), ""); + // Accepted: both admissions, with and without prefer_headroom; the snapshot resolves the origin + // and keeps no selection. + for (const auto a : {LOSSLESS, LOSSY}) { + for (const bool h : {false, true}) EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0, 1}), v({2}), t2(2, a, h)); }), ""); + } + FlowPolicy p(fg, v({0, 1}), v({2}), FlowPolicyConfig {.routing = tun}); + EXPECT_EQ(p.config().origin, Origin::Equal); + EXPECT_EQ(p.config().selection, std::nullopt); + EXPECT_EQ(std::string(detail::model_name(p.config().routing)), "T2"); +} + +// The count range for N and L; the tunnel limit with L for "up to". +TEST(TunnelValidation, T2CountAndLimit) { + const auto g = one10(); + FlowLedger fg(g); + for (const std::int64_t n : {0, 10001, -1}) { + for (const bool up : {false, true}) { + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), t2(n, LOSSLESS, false, up)); }), + "tunnel count must be in [1, 10000]"); + } + } + const auto fan = [](std::int32_t h) { + std::vector rows; + rows.reserve(static_cast(h)); + for (std::int32_t i = 0; i < h; ++i) rows.push_back({i, h, 1, 1}); + return shared(make_graph(h + 1, rows)); + }; + const auto heads = [](std::int32_t h) { + std::vector out(static_cast(h)); + for (std::int32_t i = 0; i < h; ++i) out[static_cast(i)] = i; + return out; + }; + const auto big = fan(107375); + FlowLedger fb(big); + for (const bool up : {false, true}) { + EXPECT_EQ(error_of([&] { FlowPolicy p(fb, heads(107375), v({107375}), t2(10000, LOSSLESS, false, up)); }), + "tunnel limit exceeded: 107375 heads x 10000 tunnels > 1073741823"); + } + const auto ok = fan(107374); + FlowLedger fo(ok); + EXPECT_EQ(error_of([&] { FlowPolicy p(fo, heads(107374), v({107374}), t2(10000)); }), ""); +} + +// T2's operations and the design's domain, with their texts. +TEST(TunnelOperations, T2CallValidation) { + auto p = make(one10(), {0}, {1}, t2(2)); + for (const Amount x : {5, 0}) EXPECT_EQ(error_of([&] { (void)p->place(x); }), "T2 does not support incremental placement"); + EXPECT_EQ(error_of([&] { (void)p->forward(Amount {5}); }), "forward requires an installed program"); + for (const Amount d : {Amount {-1}, kL62}) { + EXPECT_EQ(error_of([&] { (void)p->replace(Amount {5}, d); }), + "design_demand must be an integer in [0, 2^62) or permitted +inf"); + } + EXPECT_EQ(error_of([&] { (void)p->replace(Amount {-1}, Amount {-1}); }), + "offer must be an integer in [0, 2^62) or permitted +inf"); + auto ly = make(one10(), {0}, {1}, t2(2, LOSSY)); + EXPECT_EQ(error_of([&] { (void)ly->replace(INF); }), "LOSSY forwarding requires a finite offer"); + EXPECT_EQ(error_of([&] { (void)p->replace(INF); }), ""); + EXPECT_EQ(error_of([&] { (void)p->evaluate(INF, UNLIMITED); }), ""); +} + +// No certificates; the plan only for the tunnel models. +TEST(TunnelOperations, T2NoCertificates) { + const auto g = g1(); + auto p = make(g, {0}, {3}, t2(16)); + const auto r = p->replace(INF, std::nullopt, OutputOptions {.min_cut = true}); + EXPECT_FALSE(r.total_cost.has_value()); + EXPECT_FALSE(r.min_cut.has_value()); + EXPECT_FALSE(r.cost_distribution.has_value()); + auto pin = make(g, {0}, {3}, FlowPolicyConfig {.routing = Pinned {r.program, nullptr}}); + EXPECT_FALSE(pin->replace(Amount {10}).plan.has_value()); + // An optimized-origin T2 policy whose roster is empty (source 0 reaches nothing) reports no + // certificate either, never an empty cut or curve: replace(5) is NO_ROUTE, replace(0) COMPLETE. + auto empty = make(ordered(3, {{1, 2, 10, 1}}), {0}, {2}, t2(2, LOSSLESS, false, false, Origin::Optimized)); + for (const Amount offer : {Amount {5}, Amount {0}}) { + SCOPED_TRACE(offer); + const auto e = empty->replace(offer, std::nullopt, OutputOptions {.min_cut = true}); + EXPECT_EQ(e.termination, offer > 0 ? Termination::NoRoute : Termination::Complete); + EXPECT_EQ(e.placed, 0); + EXPECT_FALSE(e.total_cost.has_value()); + EXPECT_FALSE(e.min_cut.has_value()); + EXPECT_FALSE(e.cost_distribution.has_value()); + ASSERT_TRUE(e.plan.has_value()); + } +} + +// ---------------------------------------------------------------- programs (P) + +// The 8.5 call: the 7.9 call's program replayed with e2 masked. +TEST(TunnelPrograms, T2Replay) { + const auto g = g1(); + auto p = make(g, {0}, {3}, t2(16, LOSSY, true)); + const auto base = p->replace(Amount {49152}).program; + const auto fail = g->eligibility({}, std::vector {2}); + auto replay = make(g, {0}, {3}, FlowPolicyConfig {.routing = Pinned {base, nullptr}, .admission = LOSSY}, &fail); + const auto r = replay->replace(Amount {49152}); + auto st = row_statuses(r); + st.resize(3); + EXPECT_EQ(st, (std::vector {FAILED, FAILED, UP})); + EXPECT_EQ(r.placed, 40960); + EXPECT_EQ(r.call_drops, (Pairs {{1, 8192}})); +} + +// The same program stale: e2 a black hole. +TEST(TunnelPrograms, T2Stale) { + const auto g = g1(); + auto p = make(g, {0}, {3}, t2(16, LOSSY, true)); + const auto base = p->replace(Amount {49152}).program; + const auto dark = std::make_shared(g->eligibility({}, std::vector {2})); + auto stale = make(g, {0}, {3}, FlowPolicyConfig {.routing = Pinned {base, dark}, .admission = LOSSY}); + const auto r = stale->replace(Amount {49152}); + std::vector want(2, BLACKHOLED); + want.insert(want.end(), 14, UP); + EXPECT_EQ(row_statuses(r), want); + EXPECT_EQ(r.call_drops, (Pairs {{1, 2048}, {2, 6144}})); + EXPECT_EQ(r.placed, 40960); + for (const auto& t : base->tunnels()) EXPECT_EQ(t.status, UP); +} + +// The 7.9 call's tunnels: requested 0, reserved 0, planned 2925, UP, weight 1; equal sources. +TEST(TunnelPrograms, T2Fields) { + auto p = make(g1(), {0}, {3}, t2(16, LOSSY, true)); + const auto r = p->replace(Amount {49152}); + ASSERT_EQ(r.program->tunnels().size(), 16U); + for (const auto& t : r.program->tunnels()) { + EXPECT_EQ(t.requested, 0); + EXPECT_EQ(t.reserved, 0); + EXPECT_EQ(t.planned, 2925); + EXPECT_EQ(t.status, UP); + EXPECT_EQ(t.weight, 1); + EXPECT_EQ(t.destination, NodeId {3}); + EXPECT_EQ(t.route_cost, Cost {2}); + } + EXPECT_FALSE(r.program->source_weights().has_value()); +} + +// The planned bandwidth is T2's alone: 0 on T1's tunnels, on a controller's paths (Global, +// CostOnly MaxFlow) and on a supplied program's tunnels; Pinned over a T2 program keeps u. +TEST(TunnelPrograms, PlannedOnlyOnT2) { + const auto g = twoh(2, 10); + auto planned = [](const PlacementResult& r) { + Amounts out; + for (const auto& t : r.program->tunnels()) out.push_back(t.planned); + return out; + }; + auto t1 = make(g, {0, 1}, {2}, FlowPolicyConfig {.routing = CapacityAware {.tunnels = Tunnels {2}}, .admission = LOSSY}); + EXPECT_EQ(planned(t1->replace(12, 12)), (Amounts {0, 0, 0, 0})); + auto global = make(g, {0, 1}, {2}, FlowPolicyConfig {.routing = Global {}}); + EXPECT_EQ(planned(global->place(12)), (Amounts {0, 0})); + auto max_flow = make(g, {0, 1}, {2}, FlowPolicyConfig {.routing = CostOnly {}, .placement = FlowPlacement::MaxFlow}); + EXPECT_EQ(planned(max_flow->place(12)), (Amounts {0, 0})); + const std::vector s {0, 1}; + const std::vector d {2}; + const std::vector routes {{0, std::make_shared(*g, std::vector> {{0}}), 1}, + {1, std::make_shared(*g, std::vector> {{1}}), 1}}; + const auto supplied = ForwardingProgram::from_routes(*g, s, d, routes); + auto pinned = make(g, {0, 1}, {2}, FlowPolicyConfig {.routing = Pinned {.program = supplied}, .admission = LOSSY}); + EXPECT_EQ(planned(pinned->replace(Amount {4})), (Amounts {0, 0})); + auto tun = make(g, {0, 1}, {2}, t2(2)); + const auto laid = tun->replace(INF); + EXPECT_EQ(planned(laid), (Amounts {1, 1, 1, 1})); + auto replay = make(g, {0, 1}, {2}, FlowPolicyConfig {.routing = Pinned {.program = laid.program}, .admission = LOSSY}); + EXPECT_EQ(planned(replay->replace(Amount {4})), (Amounts {1, 1, 1, 1})); +} + +// ---------------------------------------------------------------- evaluators (Q) + +// The design rule of 12.1; nothing shared between pairs. +TEST(TunnelEvaluators, T2Capacity) { + const auto g = g1(); + auto err = [&](const QueryOptions& o) { return error_of([&] { (void)capacity(*g, v({0}), v({3}), o); }); }; + QueryOptions q {t2(16, LOSSLESS, true)}; + EXPECT_EQ(capacity(*g, v({0}), v({3}), q).placed, 46812); + q.design_demand = Amount {8192}; + EXPECT_EQ(capacity(*g, v({0}), v({3}), q).placed, 46812); + QueryOptions ly {t2(16, LOSSY, true)}; + ly.design_demand = Amount {49152}; + EXPECT_EQ(capacity(*g, v({0}), v({3}), ly).placed, 47104); + QueryOptions lo_ {t2(16, LOSSY, true)}; + lo_.offered = Amount {49152}; + EXPECT_EQ(capacity(*g, v({0}), v({3}), lo_).placed, 47104); + EXPECT_EQ(err(QueryOptions {t2(16, LOSSY, true)}), "T2 LOSSY capacity requires finite offered"); + QueryOptions unlimited {t2(16, LOSSY, true)}; + unlimited.design_demand = std::optional {}; + EXPECT_EQ(err(unlimited), "T2 LOSSY capacity requires finite offered"); + QueryOptions offered {t2(16, LOSSLESS, true)}; + offered.offered = Amount {5}; + EXPECT_EQ(err(offered), "T2 LOSSLESS capacity does not accept offered"); + const auto one = one10(); + const std::vector, std::vector>> pairs = {{v({0}), v({1})}, {v({0}), v({1})}}; + for (const std::int32_t workers : {1, 2}) { + const auto rs = batch_capacity(*one, pairs, QueryOptions {t2(2)}, {}, workers); + ASSERT_EQ(rs.size(), 2U); + EXPECT_EQ(rs[0].placed, 10); + EXPECT_EQ(rs[1].placed, 10); + } +} + +// T2 LOSSY's offer rule (12.1) in all three evaluators: a finite offer is used as given, an absent +// one is the design if finite, and an explicit +inf is an error whatever the design. One link of 10, +// N = 2: both tunnels share the link, so the Lossy delivery is min(offer, 10). +TEST(TunnelEvaluators, T2LossyOfferRule) { + const auto g = one10(); + const std::optional> absent; + const std::optional> inf {std::in_place, std::nullopt}; + const auto amount = [](Amount a) { return std::optional> {std::in_place, a}; }; + const std::string text = "T2 LOSSY capacity requires finite offered"; + struct Row { + std::optional> design, offered; + std::optional placed; // nullopt: the error + }; + const std::vector rows = { + {absent, absent, {}}, {amount(0), absent, 0}, {amount(4), absent, 4}, {inf, absent, {}}, + {absent, inf, {}}, {amount(0), inf, {}}, {amount(4), inf, {}}, {inf, inf, {}}, + {absent, amount(0), 0}, {amount(4), amount(0), 0}, {inf, amount(0), 0}, {absent, amount(7), 7}, + {amount(0), amount(7), 7}, {amount(4), amount(7), 7}, {inf, amount(7), 7}, + }; + const std::vector, std::vector>> pairs = {{v({0}), v({1})}, {v({0}), v({1})}}; + for (const auto& row : rows) { + QueryOptions q {t2(2, LOSSY)}; + q.design_demand = row.design; + q.offered = row.offered; + const std::string where = "design " + (row.design ? (*row.design ? std::to_string(**row.design) : "inf") : "absent") + + ", offered " + + (row.offered ? (*row.offered ? std::to_string(**row.offered) : "inf") : "absent"); + SCOPED_TRACE(where); + if (!row.placed) { + EXPECT_EQ(error_of([&] { (void)capacity(*g, v({0}), v({1}), q); }), text); + EXPECT_EQ(error_of([&] { (void)batch_capacity(*g, pairs, q, {}, 2); }), text); + EXPECT_EQ(error_of([&] { (void)sensitivity(*g, v({0}), v({1}), q, 2); }), text); + continue; + } + EXPECT_EQ(capacity(*g, v({0}), v({1}), q).placed, *row.placed); + const auto rs = batch_capacity(*g, pairs, q, {}, 2); + ASSERT_EQ(rs.size(), 2U); + EXPECT_EQ(rs[0].placed, *row.placed); + EXPECT_EQ(rs[1].placed, *row.placed); + EXPECT_EQ(sensitivity(*g, v({0}), v({1}), q, 2).baseline.placed, *row.placed); + } +} + +// Deleting dead head 0's zero link removes it from the roster (loss -10); +// every allowed link is a candidate. +TEST(TunnelEvaluators, T2Sensitivity) { + QueryOptions q {t2(2)}; + q.design_demand = Amount {10}; + for (const std::int32_t workers : {1, 2}) { + const auto s = sensitivity(*twoh(0, 10), v({0, 1}), v({2}), q, workers); + EXPECT_EQ(s.baseline.placed, 0); + std::vector> got; + for (const auto& e : s.entries) got.emplace_back(e.edge, e.loss); + EXPECT_EQ(got, (std::vector> {{0, -10}, {1, 0}})); + } + const auto g = ordered(3, {{0, 1, 10, 1}, {2, 1, 5, 1}}); + const auto s = sensitivity(*g, v({0}), v({1}), QueryOptions {t2(2)}, 1); + std::vector> got; + for (const auto& e : s.entries) got.emplace_back(e.edge, e.loss); + EXPECT_EQ(got, (std::vector> {{0, 10}, {1, 0}})); +} + +// ---------------------------------------------------------------- numeric ranges (W) + +// ONEMAX, N = 1, prefer_headroom, unlimited: U = u = 2^62 - 1, Phi = 2^32. +TEST(TunnelRanges, T2OneMax) { + const Amount max = kL62 - 1; + auto p = make(ordered(2, {{0, 1, max, 1}}), {0}, {1}, t2(1, LOSSLESS, true)); + const auto r = p->replace(INF); + EXPECT_EQ(r.plan->common_share, max); + EXPECT_EQ(r.plan->planned_total, max); + EXPECT_EQ(lo(r.plan->headroom_penalty), Amount {1} << 32); + EXPECT_EQ(r.plan->forwarding_bound, max); + EXPECT_EQ(r.placed, max); + EXPECT_EQ(r.plan->fluid_share, (std::pair {max, 1})); +} + +// FAN4MAX, N = 16, unlimited: U = 2^56 - 1, planned total 2^62 - 64, F = 2^62 - 4. +TEST(TunnelRanges, T2ManyTunnels) { + const Amount c = (Amount {1} << 60) - 1; + auto p = make(ordered(5, {{0, 4, c, 1}, {1, 4, c, 1}, {2, 4, c, 1}, {3, 4, c, 1}}), {0, 1, 2, 3}, {4}, t2(16)); + const auto r = p->replace(INF); + EXPECT_EQ(r.plan->common_share, (Amount {1} << 56) - 1); + EXPECT_EQ(r.plan->planned_total, kL62 - 64); + EXPECT_EQ(r.plan->forwarding_bound, kL62 - 4); + EXPECT_EQ(r.plan->fluid_share, (std::pair {c, 16})); +} + +// DEAD100: the live budgets F'(1) = F'(2) = 101 2^61 + 100 above 2^63, equal scores +// 2^61: count 1; F = 0; EXACT(1) Lossy replace(101) delivers 1 and loses 100 at the dead heads. +TEST(TunnelRanges, T2DeadBudget) { + std::vector rows; + for (std::int32_t h = 0; h < 100; ++h) rows.push_back({h, 101, 0, 1}); + rows.push_back({100, 101, Amount {1} << 61, 1}); + const auto g = ordered(102, rows); + std::vector heads(101); + for (std::int32_t h = 0; h < 101; ++h) heads[static_cast(h)] = h; + auto p = make(g, heads, {101}, t2(2, LOSSLESS, false, true)); + const auto r = p->replace(INF); + EXPECT_EQ(r.plan->count, 1); + EXPECT_EQ(r.plan->forwarding_bound, 0); + EXPECT_EQ(r.plan->live_heads, (std::vector {100})); + auto q = make(g, heads, {101}, t2(1, LOSSY)); + const auto s = q->replace(Amount {101}); + EXPECT_EQ(s.placed, 1); + EXPECT_EQ(s.call_source_loss, 100); +} + +// COSTMAX (one link of 10000 at cost 2^62 - 1), N = 10000, prefer_headroom, D = 10000: +// U = u = 1, J = 10000 (2^62 - 1), Phi = sum over j of floor(2^32 j / 10000). +TEST(TunnelRanges, T2CostMax) { + auto p = make(ordered(2, {{0, 1, 10000, kL62 - 1}}), {0}, {1}, t2(10000, LOSSLESS, true)); + const auto r = p->replace(INF, Amount {10000}); + EXPECT_EQ(r.plan->common_share, 1); + EXPECT_EQ(r.plan->planned_per_tunnel, 1); + EXPECT_EQ(wide(*r.plan->route_cost), Int128(10000) * Int128(kL62 - 1)); + EXPECT_EQ(lo(r.plan->headroom_penalty), 21476983958656); +} + +// ---------------------------------------------------------------- zero offers and masks (E) + +// All dead: zero offers COMPLETE; a positive offer Lossy COMPLETE, Lossless EXHAUSTED. +TEST(TunnelZero, T2AllDead) { + for (const auto a : {LOSSY, LOSSLESS}) { + auto p = make(twoh(0, 0), {0, 1}, {2}, t2(2, a)); + EXPECT_EQ(p->replace(Amount {0}, Amount {10}).termination, Termination::Complete); + EXPECT_EQ(p->evaluate(Amount {0}, Amount {10}).termination, Termination::Complete); + EXPECT_EQ(p->forward(Amount {0}).termination, Termination::Complete); + const auto r = p->replace(Amount {10}, Amount {10}); + EXPECT_EQ(r.termination, a == LOSSY ? Termination::Complete : Termination::Exhausted); + EXPECT_TRUE(r.program->tunnels().empty()); + EXPECT_EQ(vec(r.program->sources()), v({0, 1})); + EXPECT_TRUE(p->records().empty()); + } +} + +// U = 0: replace(0) and forward(0) COMPLETE, forward(10) loses 5 at each head. +TEST(TunnelZero, T2NoTunnels) { + auto p = make(twoh(1, 100), {0, 1}, {2}, t2(16, LOSSY)); + EXPECT_EQ(p->replace(Amount {0}).termination, Termination::Complete); + EXPECT_EQ(p->forward(Amount {0}).termination, Termination::Complete); + const auto f = p->forward(Amount {10}); + EXPECT_EQ(source_rows(f), (std::vector {{0, 5, 5, 0, 5, 0}, {1, 5, 5, 0, 5, 0}})); +} + +// ONE10, N = 2: zero calls COMPLETE; two tunnels planned 1; two zero records; evaluate +// publishes nothing. +TEST(TunnelZero, T2) { + for (const auto a : {LOSSY, LOSSLESS}) { + auto p = make(one10(), {0}, {1}, t2(2, a)); + const auto r = p->replace(Amount {0}); + EXPECT_EQ(r.termination, Termination::Complete); + ASSERT_EQ(r.program->tunnels().size(), 2U); + std::vector before; + for (const auto& rec : p->records()) { + EXPECT_EQ(rec.delivered, 0); + before.push_back(rec.flow_id); + } + ASSERT_EQ(before.size(), 2U); + EXPECT_EQ(p->evaluate(Amount {0}).termination, Termination::Complete); + std::vector after; + for (const auto& rec : p->records()) after.push_back(rec.flow_id); + EXPECT_EQ(after, before); + EXPECT_EQ(p->forward(Amount {0}).termination, Termination::Complete); + EXPECT_EQ(p->records().size(), 2U); + } +} + +// The 7.9 call's program with e0 and e1 masked: no head reaches 3: NO_ROUTE, then COMPLETE; +// sixteen zero records. +TEST(TunnelZero, PinnedT2NoRoster) { + const auto g = g1(); + auto p = make(g, {0}, {3}, t2(16, LOSSY, true)); + const auto base = p->replace(Amount {49152}).program; + const auto mask = g->eligibility({}, std::vector {0, 1}); + auto pin = make(g, {0}, {3}, FlowPolicyConfig {.routing = Pinned {base, nullptr}, .admission = LOSSY}, &mask); + const auto r = pin->replace(Amount {49152}); + EXPECT_EQ(r.termination, Termination::NoRoute); + EXPECT_EQ(pin->records().size(), 16U); + EXPECT_EQ(row_statuses(r), std::vector(16, FAILED)); + EXPECT_EQ(pin->replace(Amount {0}).termination, Termination::Complete); +} + +// A zero offered; an Eligibility that excludes every edge. +TEST(TunnelZero, T2Evaluators) { + const auto g = g1(); + QueryOptions zero {t2(16, LOSSY, true)}; + zero.offered = Amount {0}; + const auto r = capacity(*g, v({0}), v({3}), zero); + EXPECT_EQ(r.termination, Termination::Complete); + EXPECT_EQ(r.placed, 0); + for (const auto& e : sensitivity(*g, v({0}), v({3}), zero, 1).entries) EXPECT_EQ(e.loss, 0); + const auto t = twoh(10, 10); + const auto none = t->eligibility({}, std::vector {0, 1}); + const auto c = capacity(*t, v({0, 1}), v({2}), QueryOptions {t2(2), &none}); + EXPECT_EQ(c.termination, Termination::NoRoute); + EXPECT_EQ(c.placed, 0); + const std::vector, std::vector>> pairs = {{v({0, 1}), v({2})}, {v({0}), v({2})}}; + for (const auto& x : batch_capacity(*t, pairs, QueryOptions {t2(2), &none}, {}, 1)) EXPECT_EQ(x.termination, Termination::NoRoute); +} + +// ---------------------------------------------------------------- the property test + +// Random small graphs (nonuniform costs, masks, zero-capacity links, preloaded residuals, one or two +// heads): U, s* and the minimum (J, Phi) against the brute force; the program's objectives, k +// tunnels per live head in round order with dead holes; F against the independent lossless bound; +// 7.6's remainder bound; "up to" against an unpruned selection over the EXACT(k) programs at U(k). +TEST(T2Property, AgainstTheReference) { + std::mt19937 rng(20261019); + int checked = 0; + int optimal = 0; + int selections = 0; + for (int trial = 0; trial < 250; ++trial) { + SCOPED_TRACE(trial); + const int n = 3 + static_cast(rng() % 3); + std::vector rows; + const Amount capacities[] = {0, 1, 2, 3, 4, 6, 8}; + for (int i = 0; i + 1 < n; ++i) rows.push_back({i, i + 1, capacities[rng() % 7], 1 + static_cast(rng() % 4)}); + for (int x = 0, extra = 1 + static_cast(rng() % 4); x < extra; ++x) { + const int a = static_cast(rng() % static_cast(n - 1)); + const int b = 1 + static_cast(rng() % static_cast(n - 1)); + if (a != b) rows.push_back({a, b, capacities[rng() % 7], 1 + static_cast(rng() % 4)}); + } + const auto g = shared(make_graph(n, rows)); + std::vector heads {0}; + if (n > 3 && rng() % 2 == 0) heads.push_back(1); + const std::vector dests {n - 1}; + std::optional mask; + if (rng() % 4 == 0) mask = g->eligibility({}, std::vector {static_cast(rng() % rows.size())}); + const Eligibility* elig = mask.has_value() ? &*mask : nullptr; + Amounts V(static_cast(g->num_edges())); + for (std::size_t e = 0; e < V.size(); ++e) { + const Amount c = g->capacity_units()[e]; + V[e] = rng() % 3 == 0 ? static_cast(rng() % static_cast(c + 1)) : c; + } + const bool hr = rng() % 2 == 0; + const std::int64_t N = 1 + static_cast(rng() % 3); + const std::optional D = rng() % 3 == 0 ? std::nullopt : std::optional(static_cast(rng() % 15)); + const auto design = D.has_value() ? std::optional>(D) : UNLIMITED; + auto p = make(g, heads, dests, t2(N, LOSSLESS, hr), elig, std::make_shared(g, V)); + const auto r = p->replace(INF, design); + const auto& pl = *r.plan; + const auto& roster = detail::PolicyAccess::engine(*p.p).roster; + const auto H = static_cast(roster.size()); + if (H == 0) continue; + const auto u_of = [&](Amount U) { + if (!D.has_value()) return U; + Amount need = 1; + for (NodeId h : pl.live_heads.value_or(std::vector {})) { + const auto i = std::find(roster.begin(), roster.end(), h) - roster.begin(); + const Amount share = t1_reference::rr(*D, H, i); + need = std::max(need, (share + N - 1) / N); + } + return std::min(U, need); + }; + const auto want = t2_reference::solve(*g, elig, roster, dests, N, V, u_of, hr); + EXPECT_EQ(pl.live_heads, want.live); + EXPECT_EQ(pl.common_share, want.U); + if (!want.live.empty()) EXPECT_EQ(pl.fluid_share, want.fluid); + ++checked; + if (want.U == 0) { + EXPECT_TRUE(r.program->tunnels().empty()); + continue; + } + ASSERT_TRUE(want.best.has_value()); + // The objectives of the program's own counts are the plan's and the brute-force minimum. + Int128 J = 0; + Int128 phi = 0; + Amounts x(V.size(), 0); + for (const auto& t : r.program->tunnels()) { + for (EdgeId e : *t.edges) ++x[static_cast(e)]; + } + for (std::size_t e = 0; e < x.size(); ++e) { + J = J + Int128(g->cost()[e]) * x[e]; + for (Amount j = 1; hr && g->capacity_units()[e] > 0 && j <= x[e]; ++j) { + phi = phi + t2_reference::slot_price(g->capacity_units()[e], V[e], j, *pl.planned_per_tunnel); + } + EXPECT_LE(x[e] * *pl.planned_per_tunnel, V[e]); + } + EXPECT_EQ(J, wide(*pl.route_cost)); + EXPECT_EQ((std::pair {J, phi}), *want.best); + if (hr) EXPECT_EQ(phi, wide(*pl.headroom_penalty)); + ++optimal; + // k tunnels per live head, round order j * H + i with holes. + std::vector want_index; + for (std::int64_t j = 0; j < N; ++j) { + for (std::int64_t i = 0; i < H; ++i) { + if (std::count(want.live.begin(), want.live.end(), roster[static_cast(i)]) != 0) { + want_index.push_back(static_cast(j * H + i)); + } + } + } + EXPECT_EQ(indices(*r.program), want_index); + // F: the independent lossless bound of the program on V. + std::vector ref; + for (const auto& t : r.program->tunnels()) { + t1_reference::RefTunnel rt; + rt.head = t.head; + rt.slot = static_cast(std::find(roster.begin(), roster.end(), t.head) - roster.begin()); + rt.path = *t.edges; + ref.push_back(rt); + } + EXPECT_EQ(pl.forwarding_bound, t1_reference::lossless_bound(roster.size(), ref, V)); + const auto K = static_cast(want.live.size()) * N; + if (pl.planned_per_tunnel == pl.common_share && want.live.size() == roster.size()) { + EXPECT_GE(*pl.forwarding_bound - K * want.U, 0); + EXPECT_LT(*pl.forwarding_bound - K * want.U, K); + } + // Up to N: the unpruned selection over the EXACT(k) programs at U(k) (unlimited design). + std::vector scores; + for (std::int64_t k = 1; k <= N; ++k) { + auto e = make(g, heads, dests, t2(k, LOSSLESS, hr), elig, std::make_shared(g, V)); + const auto rk = e->replace(INF); + if (*rk.plan->common_share == 0) { + scores.push_back(0); + continue; + } + const std::int64_t M = H * k; + auto fits = [&](Int128 z) { + Amounts load(V.size(), 0); + for (const auto& t : rk.program->tunnels()) { + const Int128 amount = z / M + (Int128(t.index) < z % M ? 1 : 0); + for (EdgeId x2 : *t.edges) load[static_cast(x2)] += static_cast(amount); + } + for (std::size_t x2 = 0; x2 < V.size(); ++x2) { + if (load[x2] > V[x2]) return false; + } + return true; + }; + Int128 z = 0; + while (fits(z + 1)) z = z + 1; + const Int128 capped = D.has_value() && Int128(*D) < z ? Int128(*D) : z; + Int128 g_part = 0; + for (std::int64_t i = 0; i < H; ++i) { + if (std::count(want.live.begin(), want.live.end(), roster[static_cast(i)]) == 0) continue; + g_part = g_part + capped / H + (Int128(i) < capped % H ? 1 : 0); + } + scores.push_back(g_part); + } + Int128 target = -1; + if (D.has_value()) { + target = 0; + for (std::int64_t i = 0; i < H; ++i) { + if (std::count(want.live.begin(), want.live.end(), roster[static_cast(i)]) != 0) { + target = target + t1_reference::rr(*D, H, i); + } + } + } + std::int64_t chosen = 0; + for (std::int64_t k = 1; k <= N && chosen == 0; ++k) { + if (scores[static_cast(k - 1)] == target) chosen = k; + } + if (chosen == 0) { + chosen = 1; + for (std::int64_t k = 2; k <= N; ++k) { + if (scores[static_cast(k - 1)] > scores[static_cast(chosen - 1)]) chosen = k; + } + } + auto up = make(g, heads, dests, t2(N, LOSSLESS, hr, true), elig, std::make_shared(g, V)); + EXPECT_EQ(up->replace(INF, design).plan->count, chosen); + ++selections; + } + EXPECT_GT(checked, 200); + EXPECT_GT(optimal, 100); + EXPECT_GT(selections, 100); +} + +} // namespace diff --git a/tests/py/test_docs_examples.py b/tests/py/test_docs_examples.py index 3dcce86..6a7709e 100644 --- a/tests/py/test_docs_examples.py +++ b/tests/py/test_docs_examples.py @@ -107,7 +107,7 @@ def test_semantics_examples_print_their_documented_output(): text = (ROOT / "docs" / "semantics.md").read_text(encoding="utf-8") # The counts are pinned, so an example deleted together with its output is noticed: a # change to the document's examples updates them. - assert check_examples(text, "docs/semantics.md") == (22, 21) + assert check_examples(text, "docs/semantics.md") == (25, 24) def test_readme_quick_start_prints_its_commented_output(): diff --git a/tests/py/test_flow_policy.py b/tests/py/test_flow_policy.py index 5cde355..4c49d26 100644 --- a/tests/py/test_flow_policy.py +++ b/tests/py/test_flow_policy.py @@ -393,15 +393,24 @@ def T1(): [ # The rows of the matrix, their columns left to right: placement, origin, admission, # selection (contract 3.2, 14.3, 14.4). + # Global rejects any selection before its row. ( ngc.Global, P.MAX_FLOW, A.LOSSY, True, ORIGIN.EQUAL, + "Global does not accept selection", + ), + ( + ngc.Global, + P.MAX_FLOW, + A.LOSSY, + False, + ORIGIN.EQUAL, "Global does not accept placement", ), - (ngc.Global, None, A.LOSSY, True, ORIGIN.EQUAL, LOSSY_KERNEL), + (ngc.Global, None, A.LOSSY, False, ORIGIN.EQUAL, LOSSY_KERNEL), ( ngc.Global, None, diff --git a/tests/py/test_origin.py b/tests/py/test_origin.py index d61d345..0e2f4d3 100644 --- a/tests/py/test_origin.py +++ b/tests/py/test_origin.py @@ -174,7 +174,8 @@ def test_path_selection_defaults(): ), "T1 does not accept placement", ), - # The row, then the columns placement, origin, admission, selection. + # The row, then the columns placement, origin, admission, selection; + # Global rejects any selection before its row. ( ngc.FlowPolicyConfig( routing=ngc.Global(), @@ -182,14 +183,17 @@ def test_path_selection_defaults(): admission=A.LOSSY, selection=ngc.PathSelection(), ), + "Global does not accept selection", + ), + ( + ngc.FlowPolicyConfig( + routing=ngc.Global(), placement=P.MAX_FLOW, admission=A.LOSSY + ), "Global does not accept placement", ), ( ngc.FlowPolicyConfig( - routing=ngc.Global(), - origin=ORIGIN.EQUAL, - admission=A.LOSSY, - selection=ngc.PathSelection(), + routing=ngc.Global(), origin=ORIGIN.EQUAL, admission=A.LOSSY ), "MAX_FLOW requires admission=LOSSLESS", ), diff --git a/tests/py/test_public_surface.py b/tests/py/test_public_surface.py index fe41fb5..a337095 100644 --- a/tests/py/test_public_surface.py +++ b/tests/py/test_public_surface.py @@ -524,3 +524,29 @@ def test_a_wrong_argument_is_refused_with_its_message(call, error, message): with pytest.raises(error, match=exact(message)) as info: call(s) assert type(info.value) is error + + +def test_t2_members(): + # Global.tunnels, Global.prefer_headroom, Tunnel.planned and the T2 fields of TunnelPlan, + # read-only. + gl = ngc.Global(tunnels=ngc.Tunnels(16), prefer_headroom=True) + assert (gl.tunnels, gl.prefer_headroom) == (ngc.Tunnels(16), True) + assert (ngc.Global().tunnels, ngc.Global().prefer_headroom) == (None, False) + with pytest.raises(AttributeError): + gl.tunnels = ngc.Tunnels(2) + with pytest.raises(AttributeError): + gl.prefer_headroom = False + for name in ( + "live_heads", + "insufficient_resolution", + "fluid_share", + "common_share", + "planned_per_tunnel", + "planned_total", + "route_cost", + "headroom_penalty", + "forwarding_bound", + ): + assert isinstance(getattr(ngc.TunnelPlan, name), property), name + assert getattr(ngc.TunnelPlan, name).fset is None, name + assert isinstance(ngc.Tunnel.planned, property) and ngc.Tunnel.planned.fset is None diff --git a/tests/py/test_tunnel_oracle.py b/tests/py/test_tunnel_oracle.py index ea13c17..60ad2c2 100644 --- a/tests/py/test_tunnel_oracle.py +++ b/tests/py/test_tunnel_oracle.py @@ -1,5 +1,6 @@ """The tunnel oracle (tunnel_oracle.py) against hand derivations, two per rule it restates: one -test per rule, each with two cases derived by hand. These tests import nothing of the library; a +test per rule, each with two cases derived by hand (a T2 test adds a third where the first two +cannot see a misreading of its rule, and says so). These tests import nothing of the library; a copy of the oracle with one misreading of a rule must fail that rule's test.""" from __future__ import annotations @@ -215,3 +216,232 @@ def test_records_per_entry(): (2, 0, []), (3, 0, [(1, 3)]), ] + + +# ---------------------------------------------------------------- T2 + +G1 = [(0, 1, 8192, 1), (0, 2, 40960, 1), (1, 3, 8192, 1), (2, 3, 40960, 1)] +PAR412 = [(0, 1, 4, 1), (0, 1, 12, 1)] +# A reverse arc: the first unit's cheapest walk 0-1-2-3 (cost 3) blocks every second walk unless the +# second unit cancels its middle link: 0-2, 2->1 reversed, 1-3 (5 - 1 + 5). +REVERSE = [(0, 1, 1, 1), (0, 2, 1, 5), (1, 2, 1, 1), (1, 3, 1, 5), (2, 3, 1, 1)] +DEAD100 = [(h, 101, 0, 1) for h in range(100)] + [(100, 101, 2**61, 1)] +ROOT_TIE_A = [ + (0, 2, 1, 1), + (0, 4, 1, 1), + (1, 2, 1, 1), + (1, 5, 1, 1), + (2, 3, 1, 1), + (4, 3, 1, 1), + (5, 3, 1, 1), +] +ROOT_TIE_B = [ + (0, 2, 1, 1), + (0, 5, 1, 1), + (1, 2, 1, 1), + (1, 4, 1, 1), + (2, 3, 1, 1), + (4, 3, 1, 1), + (5, 3, 1, 1), +] +FEWEST_A = [(0, 1, 1, 1), (0, 2, 1, 2), (1, 2, 1, 1)] +FEWEST_B = [(0, 1, 1, 1), (0, 3, 1, 3), (1, 2, 1, 1), (2, 3, 1, 1)] +CUT_A = [(0, 1, 2, 2), (1, 2, 2, 2), (1, 2, 3, 2)] +CUT_B = [ + (0, 2, 1, 1), + (1, 2, 1, 1), + (2, 3, 1, 1), + (2, 4, 1, 1), + (3, 5, 1, 1), + (4, 5, 1, 1), +] + + +def x_of(plan, edges): + out = [0] * len(edges) + for t in plan.tunnels: + for e in t.path: + out[e] += 1 + return out + + +# Live heads reach a destination over links with V >= 1 (7.2) +def test_live_heads(): + # A dead head: head 0's only link is 0: dead. + assert orc.t2(twoh(0, 10), [0, 1], [2], 2, 10).live == [1] + # A tiny head: links 1 and 100: both live (U = 0 does not make a head dead). + assert orc.t2(twoh(1, 100), [0, 1], [2], 16).live == [0, 1] + + +# U, the largest integer size passing the quota flow of the live heads (7.2) +def test_common_share(): + assert orc.t2(G1, [0], [3], 16, 49152, headroom=True).U == 2925 # G1, design 49152 + assert orc.t2(twoh(3, 8), [0, 1], [2], 2, 6).U == 1 # Heads behind 3 and 8 + # A dead head (U = 5 from head 1 alone): the two above have no dead head, which the + # misreading "dead heads given quotas" needs. + assert orc.t2(twoh(0, 10), [0, 1], [2], 2, 10).U == 5 + + +# The fluid share s*, the exact breakpoint V[e] / j (7.2) +def test_fluid_share(): + # G1, design 49152 + assert orc.t2(G1, [0], [3], 16, 49152).fluid == Fraction(20480, 7) + p = orc.t2(twoh(1, 100), [0, 1], [2], 16) # A tiny head + assert (p.fluid, p.U, p.insufficient, p.tunnels) == (Fraction(1, 16), 0, True, []) + + +# The working size u from the design shares of the whole roster, dead heads included (7.2) +def test_working_size(): + assert orc.t2(twoh(0, 10), [0, 1], [2], 2, 10).u == 3 # A dead head: ceil(5 / 2) + assert orc.t2(G1, [0], [3], 16, 8192, headroom=True).u == 512 # G1 design 8192 + + +# The minimum route-cost sum J first (7.3) +def test_route_cost(): + # Both tunnels on a cheap link of 2 (u = 1), J = 2. + p = orc.t2([(0, 1, 2, 1), (0, 1, 10, 2)], [0], [1], 2, 2, headroom=True) + assert (x_of(p, [0, 1]), p.J) == ([2, 0], 2) + # G4 design 61440: 15 branches of 4096, 16 tunnels at 2048: J = 32, branch 1 (the smallest keys) gets 2. + g4 = [(0, i, 4096, 1) for i in range(1, 16)] + [ + (i, 16, 4096, 1) for i in range(1, 16) + ] + p = orc.t2(g4, [0], [16], 16, 61440, headroom=True) + assert (p.J, x_of(p, g4)[:3], x_of(p, g4)[15:18]) == (32, [2, 1, 1], [2, 1, 1]) + + +# The slot prices floor(2^32 (B - V + j u) / B) (7.3) +def test_headroom_prices(): + # PAR412, N = 2, D = 2 (u = 1): both on the 12-link, 2^32 / 12 + 2^33 / 12 rounded down. + p = orc.t2(PAR412, [0], [1], 2, 2, headroom=True) + assert (x_of(p, PAR412), p.phi) == ([0, 2], 1073741823) + # G1, design 49152 + assert orc.t2(G1, [0], [3], 16, 49152, headroom=True).phi == 73610035200 + # A preload: ONE10 with 6 units free, N = 2, D = 4: U = 3, u = 2, the slots pay + # floor(2^32 (10 - 6 + 2) / 10) + floor(2^32 (10 - 6 + 4) / 10) = 2576980377 + 3435973836. The + # two above have V = B, where the misreading "V in the denominator" gives the same + # prices (so has G10 head 0, whose preload equals the static capacities). + p = orc.t2(ONE10, [0], [1], 2, 4, V=[6], headroom=True) + assert (p.U, p.u, x_of(p, ONE10), p.phi) == (3, 2, [2], 6012954213) + + +# The canonical augmentation: fewest arcs, then the smallest keys, reverse arcs allowed (7.3) +def test_canonical_augmentation(): + g4 = [(0, i, 4096, 1) for i in range(1, 16)] + [ + (i, 16, 4096, 1) for i in range(1, 16) + ] + p = orc.t2(g4, [0], [16], 16, 61440, headroom=True) # G4 design 61440 + assert [t.path for t in p.tunnels][:3] == [[0, 15], [0, 15], [1, 16]] + # G1 without prefer_headroom at D = 8192: the cost tie goes to the smallest keys. + assert x_of(orc.t2(G1, [0], [3], 16, 8192), G1) == [16, 0, 16, 0] + # A reverse arc: the second unit cancels the first unit's middle link (the two above never need + # a reverse arc). + p = orc.t2(REVERSE, [0], [3], 2) + assert (p.U, x_of(p, REVERSE), [t.path for t in p.tunnels], p.J) == ( + 1, + [1, 1, 0, 1, 1], + [[0, 3], [1, 4]], + 12, + ) + + +# The root keys (1, head NodeId, direction): on a tie at the root the smaller head goes first (7.3) +def test_root_key_tie(): + # Capacities and costs 1, N = 1: every first walk costs 2 with four arcs and every slot pays + # 2^32. Head 0 goes first and takes e0 e4 (its smaller link key); head 1 then takes e3 e6 (four + # arcs), not e2, e0 reversed, e1, e5 (six). Heads in descending order: e2 e4 and e1 e5. + for headroom in (False, True): + p = orc.t2(ROOT_TIE_A, [0, 1], [3], 1, headroom=headroom) + assert [(t.head, t.path) for t in p.tunnels] == [(0, [0, 4]), (1, [3, 6])] + # The same with node 4 and 5 swapped behind the heads: head 0 e0 e4, head 1 e3 e5 + # (descending: e2 e4 and e1 e6). + p = orc.t2(ROOT_TIE_B, [0, 1], [3], 1) + assert [(t.head, t.path) for t in p.tunnels] == [(0, [0, 4]), (1, [3, 5])] + + +# Fewest arcs before the keys (7.3) +def test_fewest_arcs_before_keys(): + # e1 (cost 2, one link) ties e0 e2 (1 + 1); three arcs beat four, the keys alone take e0 e2. + assert [t.path for t in orc.t2(FEWEST_A, [0], [2], 1).tunnels] == [[1]] + # e1 (cost 3) ties e0 e2 e3 (1 + 1 + 1): three arcs beat five. + assert [t.path for t in orc.t2(FEWEST_B, [0], [3], 1).tunnels] == [[1]] + + +# The cut into unit walks, sorted, indices j H + i with holes (7.3, 8.1) +def test_program(): + p = orc.t2(twoh(0, 10), [0, 1], [2], 2, 10) # A dead head + assert [(t.index, t.head, t.path) for t in p.tunnels] == [(1, 1, [1]), (3, 1, [1])] + p = orc.t2(twoh(3, 8), [0, 1], [2], 2, 6) # Heads behind 3 and 8 + assert [(t.index, t.head, t.round, t.path) for t in p.tunnels] == [ + (0, 0, 0, [0]), + (1, 1, 0, [1]), + (2, 0, 1, [0]), + (3, 1, 1, [1]), + ] + # The walks follow the smallest positive EdgeId, live heads ascending. Head 1's units took e1 + # (cost 2 against head 0's 4), head 0's e0 e2: x = (2, 2, 2); head 0 cuts first, e0 e1 twice, + # leaving e2 to head 1 (the largest EdgeId: head 0 e0 e2, head 1 e1). + p = orc.t2(CUT_A, [0, 1], [2], 2) + assert [(t.head, t.path) for t in p.tunnels] == [ + (0, [0, 1]), + (1, [2]), + (0, [0, 1]), + (1, [2]), + ] + # x all ones through node 2: head 0 e0 e2 e4, head 1 e1 e3 e5 (the largest EdgeId swaps the + # suffixes). + p = orc.t2(CUT_B, [0, 1], [5], 1) + assert [(t.head, t.path) for t in p.tunnels] == [(0, [0, 2, 4]), (1, [1, 3, 5])] + + +# F, the program's lossless bound, a dead head's share blocking (7.6, 8.3) +def test_forwarding_bound(): + assert orc.t2(twoh(0, 10), [0, 1], [2], 2, 10).F == 0 # A dead head + assert ( + orc.t2([(0, 1, 3, 1), (0, 1, 2, 1)], [0], [1], 2, 5).F == 5 + ) # The remainder on the first link + assert ( + orc.t2([(0, 1, 2, 1), (0, 1, 3, 1)], [0], [1], 2, 5).F == 4 + ) # The remainder on the second link + + +# Up to L: the smallest k reaching the live part of D, else the best score, smaller k (7.7) +def test_up_to(): + p = orc.t2(G1, [0], [3], 6, 49152, up_to=True, headroom=True) # G1 up to 6 + assert (p.scores, p.count) == ([40960] * 5 + [49152], 6) + p = orc.t2(twoh(0, 10), [0, 1], [2], 2, 10, up_to=True) # Up to, a dead head + assert (p.scores, p.count, [t.path for t in p.tunnels]) == ([5, 5], 1, [[1]]) + # DEAD100, unlimited: equal scores 2^61, no target: the smaller count (the two above reach + # their target, which the misreading "the largest k on a tie" never meets). + p = orc.t2(DEAD100, list(range(101)), [101], 2, None, up_to=True) + assert (p.scores, p.count, p.F) == ([2**61, 2**61], 1, 0) + + +# No tunnels is an installed program keeping the roster (7.8) +def test_no_tunnels_keep_roster(): + # Forwarding without tunnels: a tiny head (U = 0) forwarding 10: 5 lost at each head, COMPLETE. + p = orc.t2(twoh(1, 100), [0, 1], [2], 16, 200) + roster = orc.program_roster(p) + amounts, lost = orc.entry_shares(10, roster, p.tunnels) + assert (roster, lost, [orc.rr(10, len(roster), i) for i in range(len(roster))]) == ( + [0, 1], + 10, + [5, 5], + ) + assert orc.termination(10, roster, p.tunnels, [], True, 0) == "COMPLETE" + # Every head dead: TWOH(0, 0): no live head, no tunnel; Lossless EXHAUSTED. + p = orc.t2(twoh(0, 0), [0, 1], [2], 2, 10) + roster = orc.program_roster(p) + assert (p.live, p.tunnels, roster) == ([], [], [0, 1]) + assert orc.termination(10, roster, p.tunnels, [], False, 0) == "EXHAUSTED" + + +# A dead head's T2 program replayed under masks (8.4) +def test_t2_replay_roster(): + g = twoh(0, 10) + p = orc.t2(g, [0, 1], [2], 2, 10) + roster, st, alive = orc.replay(g, orc.program_roster(p), p.tunnels, [2], ([], [])) + delivered, lost, _, _ = orc.lossy(g, roster, p.tunnels, 10, caps(g), alive) + assert (roster, st, delivered, lost) == ([0, 1], [UP, UP], 5, 5) + roster, st, alive = orc.replay(g, orc.program_roster(p), p.tunnels, [2], ([], [0])) + delivered, lost, _, _ = orc.lossy(g, roster, p.tunnels, 10, caps(g), alive) + assert (roster, st, delivered, lost) == ([1], [UP, UP], 10, 0) diff --git a/tests/py/test_tunnels_t2.py b/tests/py/test_tunnels_t2.py new file mode 100644 index 0000000..cb05688 --- /dev/null +++ b/tests/py/test_tunnels_t2.py @@ -0,0 +1,1313 @@ +"""T2 (Global(tunnels=Tunnels(N)), Tunnels(L, up_to=True)) through the binding: the contract's T2 +examples and calls (7.1 to 7.9, 8.5), the configuration and call checks, sizing, objectives, +count selection, operations, programs and replays, records, flags and terminations, the +evaluators, the numeric ranges of T2's sums, zero offers and everything masked, a property test +against the independent tunnel_oracle.py, and the Python-allocation sweeps of T2's results. +Expected values are the contract's or derived from it by hand, never taken from a build.""" + +from __future__ import annotations + +import random +from fractions import Fraction + +import pytest +import tunnel_oracle as orc +from helpers import ( + COSTONLY, + GLOBAL, + INF, + L62, + build, + dag_of, + exact, + full_ledger_state, + sweep_python_allocation, +) +from private_hooks import needs_hooks + +import netgraph_core as ngc + +T = ngc.Termination +S = ngc.TunnelStatus +UP, FAILED, BLACKHOLED = S.UP, S.FAILED, S.BLACKHOLED +LOSSY = ngc.Admission.LOSSY +LOSSLESS = ngc.Admission.LOSSLESS +HEAD = ngc.EdgePriority.HEADROOM + + +def graph(rows, n=None): + """A graph whose rows are in EdgeId order (asserted): (u, v, capacity, cost).""" + n = n if n is not None else 1 + max(max(u, v) for u, v, _, _ in rows) + g = build(n, rows) + assert [int(i) for i in g.input_index()] == list(range(len(rows))) + return g + + +def t2_config(count, admission=None, headroom=False, up_to=False, origin=None): + """A T2 FlowPolicyConfig: Global(tunnels=Tunnels(count, up_to=up_to), + prefer_headroom=headroom), Lossless by default.""" + return ngc.FlowPolicyConfig( + routing=ngc.Global( + tunnels=ngc.Tunnels(count, up_to=up_to), prefer_headroom=headroom + ), + admission=admission or LOSSLESS, + origin=origin, + ) + + +def policy( + g, + s, + d, + n, + admission=None, + ledger=None, + elig=None, + headroom=False, + up_to=False, + origin=None, +): + ledger = ledger if ledger is not None else ngc.FlowLedger(g) + return ngc.FlowPolicy( + ledger, s, d, t2_config(n, admission, headroom, up_to, origin), elig + ) + + +def routes(r): + return [list(t.edges) for t in r.program.tunnels] + + +def counts(r, m): + x = [0] * m + for t in r.program.tunnels: + for e in t.edges: + x[e] += 1 + return x + + +def rows(r): + return [ + (t.index, t.head, t.status, t.assigned, t.delivered, t.dropped) + for t in r.by_tunnel + ] + + +def source_rows(r): + return [ + (s.source, s.offered, s.admitted, s.delivered, s.source_loss, s.dropped) + for s in r.by_source + ] + + +def plan_tuple(p): + return ( + p.count, + p.design_demand, + p.head_design, + p.reserved_total, + p.live_heads, + p.insufficient_resolution, + p.fluid_share, + p.common_share, + p.planned_per_tunnel, + p.planned_total, + p.route_cost, + p.headroom_penalty, + p.forwarding_bound, + ) + + +G1 = [(0, 1, 8192, 1), (0, 2, 40960, 1), (1, 3, 8192, 1), (2, 3, 40960, 1)] +G4 = [(0, i, 4096, 1) for i in range(1, 16)] + [(i, 16, 4096, 1) for i in range(1, 16)] +G10 = [ + (0, 1, 40960, 1), (0, 5, 40960, 1), (0, 3, 24576, 2), (1, 0, 40960, 1), (1, 2, 40960, 1), (1, 4, 16384, 2), + (2, 1, 40960, 1), (2, 3, 40960, 1), (2, 5, 20480, 2), (3, 2, 40960, 1), (3, 4, 40960, 1), (3, 0, 24576, 2), + (4, 3, 40960, 1), (4, 5, 40960, 1), (4, 1, 16384, 2), (5, 0, 40960, 1), (5, 4, 40960, 1), (5, 2, 20480, 2), +] # fmt: skip +G10_CAPS = { + "G10 head 0": [40960, 40960, 24576, 40960, 40960, 16384, 40960, 40960, 20480, + 40960, 40960, 24576, 40960, 40960, 16384, 40960, 40960, 20480], + "G10 head 1": [28672, 28672, 0, 40960, 28672, 16384, 40960, 28672, 20480, + 40960, 40960, 24576, 28672, 40960, 16384, 40960, 28672, 20480], + "G10 head 2": [28672, 10240, 0, 22528, 13312, 1024, 40960, 13312, 20480, + 40960, 25600, 24576, 28672, 40960, 16384, 40960, 10240, 20480], +} # fmt: skip +G1_PATHS = [[0, 2]] * 2 + [[1, 3]] * 14 + + +def twoh(a, b): + return graph([(0, 2, a, 1), (1, 2, b, 1)]) + + +def one10(): + return graph([(0, 1, 10, 1)]) + + +# ---------------------------------------------------------------- the contract's examples (X) + +# id: (rows, heads, dst, N, D, free capacity or None, prefer_headroom, expected plan fields, routes, lossy offer, delivery, +# source loss). Plan fields: (U, u, fluid, F, planned total, route cost, Phi or None, live heads, indices or None). +EXAMPLES = { + "G1 design 49152": (G1, [0], 3, 16, 49152, None, True, + (2925, 2925, Fraction(20480, 7), 46812, 46800, 32, 73610035200, (0,), None), G1_PATHS, 49152, 47104, 0), + "G1 design 8192": (G1, [0], 3, 16, 8192, None, True, + (2925, 512, Fraction(20480, 7), 46812, 8192, 32, 12884901876, (0,), None), G1_PATHS, None, None, None), + "G4 design 61440": (G4, [0], 16, 16, 61440, None, True, + (2048, 2048, Fraction(2048), 32768, 32768, 32, 73014444032, (0,), None), + [[0, 15], [0, 15]] + [[i, 15 + i] for i in range(1, 15)], 61440, 57856, 0), + "heads behind 3 and 8": ([(0, 2, 3, 1), (1, 2, 8, 1)], [0, 1], 2, 2, 6, None, True, + (1, 1, Fraction(3, 2), 6, 4, 4, 5905580031, (0, 1), [0, 1, 2, 3]), [[0], [1], [0], [1]], None, None, None), + "a cheap link of 2": ([(0, 1, 2, 1), (0, 1, 10, 2)], [0], 1, 2, 2, None, True, + (5, 1, Fraction(5), 2, 2, 2, 6442450944, (0,), None), [[0], [0]], None, None, None), + "G10 head 0": (G10, [0], 3, 16, 49152, G10_CAPS["G10 head 0"], True, + (6144, 3072, Fraction(6144), 49160, 49152, 40, 38654705652, (0,), None), + [[0, 4, 7]] * 4 + [[1, 16, 12]] * 4 + [[2]] * 8, None, None, None), + "G10 head 1": (G10, [1], 4, 16, 49152, G10_CAPS["G10 head 1"], True, + (4096, 3072, Fraction(4096), 52431, 49152, 43, None, (1,), None), + [[3, 1, 16]] * 6 + [[4, 7, 10]] * 5 + [[5]] * 5, None, None, None), + "G10 head 2": (G10, [2], 5, 16, 49152, G10_CAPS["G10 head 2"], True, + (2560, 2560, Fraction(2560), 40960, 40960, 40, None, (2,), None), + [[6, 3, 1]] * 4 + [[7, 10, 13]] * 4 + [[8]] * 8, None, None, None), + "a dead head": ([(0, 2, 0, 1), (1, 2, 10, 1)], [0, 1], 2, 2, 10, None, True, + (5, 3, Fraction(5), 0, 6, 2, 3865470565, (1,), [1, 3]), [[1], [1]], 10, 5, 5), + "heads behind 2 and 10": ([(0, 2, 2, 1), (1, 2, 10, 1)], [0, 1], 2, 2, None, None, True, + (1, 1, Fraction(1), 4, 4, 4, 7730941132, (0, 1), [0, 1, 2, 3]), [[0], [1], [0], [1]], + None, None, None), + "an idle tunnel": ([(0, 1, 10, 1)], [0], 1, 4, 3, None, True, + (2, 1, Fraction(5, 2), 10, 4, 4, 4294967294, (0,), None), [[0]] * 4, 3, 3, 0), + "a zero design": ([(0, 1, 10, 1)], [0], 1, 2, 0, None, True, + (5, 1, Fraction(5), 10, 2, 2, None, (0,), None), [[0]] * 2, 4, 4, 0), + "the remainder on the first link": ([(0, 1, 3, 1), (0, 1, 2, 1)], [0], 1, 2, 5, None, True, + (2, 2, Fraction(2), 5, 4, 2, None, (0,), None), [[0], [1]], None, None, None), + "the remainder on the second link": ([(0, 1, 2, 1), (0, 1, 3, 1)], [0], 1, 2, 5, None, True, + (2, 2, Fraction(2), 4, 4, 2, None, (0,), None), [[0], [1]], None, None, None), + "a tiny head": ([(0, 2, 1, 1), (1, 2, 100, 1)], [0, 1], 2, 16, None, None, True, + (0, 0, Fraction(1, 16), 0, 0, 0, 0, (0, 1), None), [], None, None, None), +} # fmt: skip + + +@pytest.mark.parametrize("eid", list(EXAMPLES)) +def test_contract_examples(eid): + rows_, heads, dst, N, D, free, hr, want, rts, offer, delivery, loss = EXAMPLES[eid] + g = graph(rows_) + fg = ngc.FlowLedger(g, free) if free is not None else ngc.FlowLedger(g) + r = policy(g, heads, dst, N, ledger=fg, headroom=hr).replace( + INF, design_demand=INF if D is None else D + ) + p = r.plan + U, u, fluid, F, total, cost, phi, live, indices = want + assert ( + p.common_share, + p.planned_per_tunnel, + p.fluid_share, + p.forwarding_bound, + ) == (U, u, fluid, F) + assert (p.planned_total, p.route_cost, p.live_heads) == (total, cost, live) + if phi is not None: + assert p.headroom_penalty == phi + assert routes(r) == rts + if indices is not None: + assert [t.index for t in r.program.tunnels] == indices + assert all((t.planned, t.weight, t.status) == (u, 1, UP) for t in r.program.tunnels) + assert (r.placed, r.termination) == (F, T.EXHAUSTED) # the unlimited query admits F + assert p.insufficient_resolution == (U == 0) + if offer is None: + return + ly = policy( + g, + heads, + dst, + N, + LOSSY, + ledger=ngc.FlowLedger(g, free) if free else None, + headroom=hr, + ) + s = ly.replace(offer, design_demand=D) + assert (s.placed, s.call_source_loss, s.termination) == (delivery, loss, T.COMPLETE) + assert routes(s) == rts # the offer never changes the layout + + +UP_TO = { + # id: (rows, heads, dst, L, D, chosen count, routes, lossless delivery of D (None: unlimited, the bound), + # the EXACT(k) bounds F'(k) of the all-live examples) + "G1 up to 6": (G1, [0], 3, 6, 49152, 6, [[0, 2]] + [[1, 3]] * 5, 49152, [40960] * 5 + [49152]), + "up to, a common size": ([(0, 3, 6, 1), (1, 3, 3, 1), (1, 3, 3, 1)], [0, 1], 3, 2, 12, 2, [[0], [1], [0], [2]], 12, + [7, 12]), + "up to, a dead head": ([(0, 2, 0, 1), (1, 2, 10, 1)], [0, 1], 2, 2, 10, 1, [[1]], 0, None), + "up to, a tiny head": ([(0, 2, 1, 1), (1, 2, 100, 1)], [0, 1], 2, 3, None, 1, [[0], [1]], 2, [2, 0, 0]), +} # fmt: skip + + +@pytest.mark.parametrize("eid", list(UP_TO)) +def test_up_to_examples(eid): + rows_, heads, dst, L, D, k, rts, delivered, bounds = UP_TO[eid] + g = graph(rows_) + r = policy(g, heads, dst, L, up_to=True, headroom=True).replace( + INF if D is None else D + ) + assert (r.plan.count, routes(r), r.placed) == (k, rts, delivered) + if bounds is None: + return + # With every head live, F'(k) is EXACT(k)'s bound at U(k) (an unlimited design). + for c, b in enumerate(bounds, 1): + assert policy(g, heads, dst, c, headroom=True).replace(INF).placed == b, c + + +def test_call_of_section_7_9(): + # The contract's runnable call, then its program's fields and the ledger. + q = 2.0**-12 + g = ngc.Graph( + 4, + src=[0, 0, 1, 2], + dst=[1, 2, 3, 3], + capacity_units=ngc.to_units([2, 10, 2, 10], q), + cost=[1, 1, 1, 1], + resolution=q, + ) + te16 = ngc.FlowPolicyConfig( + routing=ngc.Global(tunnels=ngc.Tunnels(16), prefer_headroom=True), + admission=ngc.Admission.LOSSY, + ) + fg = ngc.FlowLedger(g) + p = ngc.FlowPolicy(fg, 0, 3, te16) + r = p.replace(49152) + assert ( + r.plan.common_share, + r.plan.planned_per_tunnel, + r.plan.forwarding_bound, + ) == (2925, 2925, 46812) + assert r.placed == 47104 + assert plan_tuple(r.plan) == ( + 16, + 49152, + ((0, 49152),), + 0, + (0,), + False, + Fraction(20480, 7), + 2925, + 2925, + 46800, + 32, + 73610035200, + 46812, + ) + assert [list(t.edges) for t in r.program.tunnels] == G1_PATHS + assert [ + (t.requested, t.reserved, t.planned, t.status, t.weight) + for t in r.program.tunnels + ] == [(0, 0, 2925, UP, 1)] * 16 + assert [t.delivered for t in r.by_tunnel] == [3072] * 2 + [2926] * 10 + [2925] * 4 + assert r.call_drops == [(1, 2048)] + assert r.reservations_changed is False and ( + r.routes_changed, + r.weights_changed, + ) == (True, True) + # A plan books nothing. + assert fg.reserved().tolist() == [0, 0, 0, 0] + assert all(rec.reserved_edges == [] for rec in p.records()) + assert ngc.Global(tunnels=ngc.Tunnels(256, up_to=True)).tunnels == ngc.Tunnels( + 256, up_to=True + ) + + +def test_failure_replay_of_section_8_5(): + # The replay of 8.5 under the mask, then the same program stale (black holes). + g = graph(G1) + p = policy(g, 0, 3, 16, LOSSY, headroom=True) + p.replace(49152) + base = p.program + fail = g.eligibility(excluded_edges=[2]) + replay = ngc.FlowPolicy( + ngc.FlowLedger(g), + 0, + 3, + ngc.FlowPolicyConfig(routing=ngc.Pinned(base), admission=LOSSY), + elig=fail, + ) + r = replay.replace(49152) + assert [t.status for t in r.by_tunnel][:3] == [FAILED, FAILED, UP] + assert r.placed == 40960 and r.plan is None + stale = ngc.FlowPolicy( + ngc.FlowLedger(g), + 0, + 3, + ngc.FlowPolicyConfig( + routing=ngc.Pinned(base, black_holes=fail), admission=LOSSY + ), + ) + s = stale.replace(49152) + assert [t.status for t in s.by_tunnel] == [BLACKHOLED] * 2 + [UP] * 14 + assert (s.call_drops, s.placed) == ([(1, 2048), (2, 6144)], 40960) + assert [t.status for t in base.tunnels] == [ + UP + ] * 16 # the program's own statuses stay + + +# ---------------------------------------------------------------- validation (V) + + +def test_matrix(): + # T2's row of the matrix and the Global selection rule, in order (the evaluators run the same + # checks). + g = twoh(10, 10) + fg = ngc.FlowLedger(g) + t2 = ngc.Global(tunnels=ngc.Tunnels(2)) + sel = ngc.PathSelection + dag = dag_of(g, [0, 1]) + both = ngc.Global(support=dag, tunnels=ngc.Tunnels(2), prefer_headroom=True) + no_sel = "Global does not accept selection" + cases = [ + (ngc.FlowPolicyConfig(routing=t2, placement=ngc.FlowPlacement.EQUAL_BALANCED), "T2 does not accept placement"), + (ngc.FlowPolicyConfig(routing=t2, weights=ngc.WeightBasis.CAPACITY), "T2 does not accept weights"), + (ngc.FlowPolicyConfig(routing=t2, edge_weights=[1, 1]), "T2 does not accept edge_weights"), + # Every Global rejects any selection (the default and HEADROOM included) before support and + # tunnels, and so before placement; prefer_headroom without tunnels right after them. + (ngc.FlowPolicyConfig(routing=t2, selection=sel()), no_sel), + (ngc.FlowPolicyConfig(routing=t2, selection=sel(priority=HEAD)), no_sel), + (ngc.FlowPolicyConfig(routing=ngc.Global(), selection=sel()), no_sel), + (ngc.FlowPolicyConfig(routing=t2, placement=ngc.FlowPlacement.EQUAL_BALANCED, selection=sel()), no_sel), + (ngc.FlowPolicyConfig(routing=both, selection=sel()), no_sel), + (ngc.FlowPolicyConfig(routing=both), "Global support and tunnels are mutually exclusive"), + (ngc.FlowPolicyConfig(routing=both, placement=ngc.FlowPlacement.EQUAL_BALANCED), + "Global support and tunnels are mutually exclusive"), + (ngc.FlowPolicyConfig(routing=ngc.Global(prefer_headroom=True)), "prefer_headroom requires tunnels"), + (ngc.FlowPolicyConfig(routing=ngc.Global(support=dag, prefer_headroom=True), + placement=ngc.FlowPlacement.EQUAL_BALANCED), + "prefer_headroom requires tunnels"), + (ngc.FlowPolicyConfig(routing=t2, origin=ngc.Origin.OPTIMIZED), "T2 with several sources requires origin=EQUAL"), + ] # fmt: skip + for cfg, text in cases: + with pytest.raises(ValueError, match=exact(text)): + ngc.FlowPolicy(fg, [0, 1], 2, cfg) + with pytest.raises(ValueError, match=exact(text)): + ngc.capacity(g, [0, 1], 2, ngc.QueryOptions(cfg)) + with pytest.raises(ValueError, match=exact("T2 does not use DagCache")): + ngc.FlowPolicy( + fg, [0, 1], 2, ngc.FlowPolicyConfig(routing=t2), cache=ngc.DagCache(g) + ) + # The several-sources rule counts the normalized input sources, before the mask; one source + # with OPTIMIZED is accepted (the same calculation). + opt = ngc.FlowPolicyConfig(routing=t2, origin=ngc.Origin.OPTIMIZED) + with pytest.raises( + ValueError, match=exact("T2 with several sources requires origin=EQUAL") + ): + ngc.FlowPolicy(fg, [0, 1], 2, opt, g.eligibility(excluded_nodes=[1])) + assert ngc.FlowPolicy(fg, [0, 0], 2, opt).config.origin == ngc.Origin.OPTIMIZED + # Accepted: both admissions, with and without prefer_headroom; the snapshot keeps no selection. + for adm in (LOSSLESS, LOSSY): + for hr in (False, True): + ngc.FlowPolicy(fg, [0, 1], 2, t2_config(2, adm, hr)) + got = ngc.FlowPolicy(fg, [0, 1], 2, ngc.FlowPolicyConfig(routing=t2)).config + assert (got.selection, got.origin, got.placement, got.routing.tunnels) == ( + None, + ngc.Origin.EQUAL, + None, + ngc.Tunnels(2), + ) + # The arguments of Global itself; prefer_headroom is False by default. + with pytest.raises(TypeError): + ngc.Global(tunnels=2) + with pytest.raises(TypeError): + ngc.Global(tunnels=ngc.Tunnels(2), prefer_headroom="yes") + assert (ngc.Global().tunnels, ngc.Global().prefer_headroom) == (None, False) + assert ngc.Global(prefer_headroom=True).prefer_headroom is True + assert ( + repr(ngc.Global(tunnels=ngc.Tunnels(256, up_to=True))) + == "Global(tunnels=Tunnels(256, up_to=True))" + ) + assert ( + repr(ngc.Global(tunnels=ngc.Tunnels(16), prefer_headroom=True)) + == "Global(tunnels=Tunnels(16), prefer_headroom=True)" + ) + assert repr(ngc.Global(prefer_headroom=True)) == "Global(prefer_headroom=True)" + assert repr(ngc.Global()) == "Global()" + # Every set field, the invalid support-and-tunnels combination included. + dag = dag_of(twoh(10, 10), [0, 1]) + assert repr(ngc.Global(support=dag)) == "Global(support=...)" + assert ( + repr(ngc.Global(support=dag, tunnels=ngc.Tunnels(2))) + == "Global(support=..., tunnels=Tunnels(2))" + ) + assert ( + repr(ngc.Global(support=dag, prefer_headroom=True)) + == "Global(support=..., prefer_headroom=True)" + ) + + +def test_global_selection_and_prefer_headroom_texts(): + # A Global with a selection: the contract's seven cases in its order, at a policy and at an + # evaluator. Global with any selection first; then support and tunnels; then prefer_headroom + # without tunnels. + g = twoh(10, 10) + fg = ngc.FlowLedger(g) + dag = dag_of(g, [0, 1]) + t2 = ngc.Tunnels(2) + cases = [ + (dict(tunnels=t2), ngc.PathSelection(), "Global does not accept selection"), + (dict(tunnels=t2), ngc.PathSelection(priority=HEAD), "Global does not accept selection"), + ({}, ngc.PathSelection(), "Global does not accept selection"), + (dict(prefer_headroom=True), None, "prefer_headroom requires tunnels"), + (dict(prefer_headroom=True, support=dag, tunnels=t2), None, + "Global support and tunnels are mutually exclusive"), + (dict(prefer_headroom=True, tunnels=t2), None, None), + ({}, None, None), + ] # fmt: skip + for kwargs, sel, text in cases: + cfg = ngc.FlowPolicyConfig(routing=ngc.Global(**kwargs), selection=sel) + if text is None: + ngc.FlowPolicy(fg, 0, 2, cfg) + ngc.capacity(g, 0, 2, ngc.QueryOptions(cfg)) + continue + with pytest.raises(ValueError, match=exact(text)): + ngc.FlowPolicy(fg, 0, 2, cfg) + with pytest.raises(ValueError, match=exact(text)): + ngc.capacity(g, 0, 2, ngc.QueryOptions(cfg)) + # No old spelling of the objective is accepted. + with pytest.raises(TypeError): + ngc.Global(tunnels=t2, priority=HEAD) + + +@pytest.mark.parametrize("on", [False, True]) +def test_prefer_headroom_example(on): + # prefer_headroom off and on: two equal-cost parallel links of 10, one head, N = 2, D = 2: + # U = 10, u = 1. Off, the canonical tie puts both tunnels on link 0 (bound 10; Lossy 12 + # delivers 10). On, the second tunnel pays floor(2^32 / 10) on link 1 against + # floor(2^32 2 / 10) for a second slot on link 0: Phi = 2 floor(2^32 / 10) = 858993458, bound + # 20, Lossy 12 delivers 12. Both plan 2. + g = graph([(0, 1, 10, 1), (0, 1, 10, 1)]) + r = policy(g, 0, 1, 2, LOSSY, headroom=on).replace(12, design_demand=2) + p = r.plan + assert (p.common_share, p.planned_per_tunnel, p.planned_total, p.route_cost) == ( + 10, + 1, + 2, + 2, + ) + assert routes(r) == ([[0], [1]] if on else [[0], [0]]) + assert p.headroom_penalty == (858993458 if on else None) + assert (p.forwarding_bound, r.placed) == ((20, 12) if on else (10, 10)) + + +def test_count_range_and_tunnel_limit(): + # The count range (the count and the largest count of "up to"); the tunnel limit uses L for + # "up to". + fg = ngc.FlowLedger(one10()) + for n in (0, 10001, -1): + for up in (False, True): + with pytest.raises( + ValueError, match=exact("tunnel count must be in [1, 10000]") + ): + policy(None, 0, 1, n, ledger=fg, up_to=up) + policy(None, 0, 1, 10000, ledger=fg) + policy(None, 0, 1, 10000, ledger=fg, up_to=True) + # 1000 heads x 10000 = 10^7 tunnels: within the limit (2^30 - 1). + rows_ = [(h, 1000, 1, 1) for h in range(1000)] + policy(graph(rows_), list(range(1000)), 1000, 10000, up_to=True) + + +def test_operations_and_design_validation(): + # The operations of T2 and the design's domain, with their texts. + g = one10() + p = policy(g, 0, 1, 2) + for v in (5, 0): + with pytest.raises( + ValueError, match=exact("T2 does not support incremental placement") + ): + p.place(v) + with pytest.raises( + ValueError, match=exact("forward requires an installed program") + ): + p.forward(5) + for d in (-1, L62): + with pytest.raises( + ValueError, + match=exact( + "design_demand must be an integer in [0, 2^62) or permitted +inf" + ), + ): + p.replace(5, design_demand=d) + with pytest.raises( + ValueError, + match=exact("offer must be an integer in [0, 2^62) or permitted +inf"), + ): + p.replace(-1, design_demand=-1) + ly = policy(g, 0, 1, 2, LOSSY) + with pytest.raises( + ValueError, match=exact("LOSSY forwarding requires a finite offer") + ): + ly.replace(INF) + assert p.replace(INF).plan.design_demand == INF # an unlimited design + for cfg in (COSTONLY, GLOBAL): + with pytest.raises( + ValueError, + match=exact( + f"{'CostOnly' if cfg is COSTONLY else 'Global'} does not accept design_demand" + ), + ): + ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg).replace(5, design_demand=5) + + +# ---------------------------------------------------------------- sizing, objectives and count (U) + + +def test_headroom_off_and_finite_cost_tie(): + # G1 without prefer_headroom (the cost tie goes to the smallest keys); PAR412 with and without. + g = graph(G1) + r = policy(g, 0, 3, 16, LOSSY).replace(49152) + assert ( + counts(r, 4), + r.plan.forwarding_bound, + r.placed, + r.plan.headroom_penalty, + ) == ([2, 14, 2, 14], 46812, 47104, None) + r = policy(g, 0, 3, 16).replace(INF, design_demand=8192) + assert (r.plan.planned_per_tunnel, counts(r, 4), r.plan.forwarding_bound) == ( + 512, + [16, 0, 16, 0], + 8192, + ) + r = policy(g, 0, 3, 16, headroom=True).replace(INF, design_demand=8192) + assert (counts(r, 4), r.plan.forwarding_bound) == ([2, 14, 2, 14], 46812) + p412 = graph([(0, 1, 4, 1), (0, 1, 12, 1)]) + r = policy(p412, 0, 1, 2, headroom=True).replace(INF, design_demand=2) + assert ( + r.plan.common_share, + r.plan.planned_per_tunnel, + routes(r), + r.plan.forwarding_bound, + ) == (6, 1, [[1], [1]], 12) + assert r.plan.headroom_penalty == 1073741823 + r = policy(p412, 0, 1, 2).replace(INF, design_demand=2) + assert (routes(r), r.plan.forwarding_bound) == ([[0], [0]], 4) + + +# The graphs of the three tie rules of 7.3 (u, v, capacity, cost), each derived in tests/cpp's twin. +ROOT_TIE_A = [ + (0, 2, 1, 1), + (0, 4, 1, 1), + (1, 2, 1, 1), + (1, 5, 1, 1), + (2, 3, 1, 1), + (4, 3, 1, 1), + (5, 3, 1, 1), +] +ROOT_TIE_B = [ + (0, 2, 1, 1), + (0, 5, 1, 1), + (1, 2, 1, 1), + (1, 4, 1, 1), + (2, 3, 1, 1), + (4, 3, 1, 1), + (5, 3, 1, 1), +] +FEWEST_A = [(0, 1, 1, 1), (0, 2, 1, 2), (1, 2, 1, 1)] +FEWEST_B = [(0, 1, 1, 1), (0, 3, 1, 3), (1, 2, 1, 1), (2, 3, 1, 1)] +CUT_A = [(0, 1, 2, 2), (1, 2, 2, 2), (1, 2, 3, 2)] +CUT_B = [ + (0, 2, 1, 1), + (1, 2, 1, 1), + (2, 3, 1, 1), + (2, 4, 1, 1), + (3, 5, 1, 1), + (4, 5, 1, 1), +] + + +def head_routes(r): + return [(t.head, list(t.edges)) for t in r.program.tunnels] + + +@pytest.mark.parametrize("headroom", [False, True]) +def test_root_key_tie(headroom): + # The heads' first walks tie (price 2, four arcs): the smaller head NodeId goes first; the + # other head then takes its four-arc walk, not the six-arc one through a reverse arc. + r = policy(graph(ROOT_TIE_A), [0, 1], 3, 1, headroom=headroom).replace(INF) + assert head_routes(r) == [(0, [0, 4]), (1, [3, 6])] + r = policy(graph(ROOT_TIE_B), [0, 1], 3, 1, headroom=headroom).replace(INF) + assert head_routes(r) == [(0, [0, 4]), (1, [3, 5])] + + +def test_fewest_arcs_before_keys(): + # The direct link ties the longer walk on cost; fewer arcs wins before the smallest keys. + assert routes(policy(graph(FEWEST_A), 0, 2, 1).replace(INF)) == [[1]] + assert routes(policy(graph(FEWEST_B), 0, 3, 1).replace(INF)) == [[1]] + + +def test_cut_into_unit_walks(): + # Live heads ascending, each walk along the smallest positive EdgeId: head 0 cuts first. + r = policy(graph(CUT_A), [0, 1], 2, 2).replace(INF) + assert head_routes(r) == [(0, [0, 1]), (1, [2]), (0, [0, 1]), (1, [2])] + r = policy(graph(CUT_B), [0, 1], 5, 1).replace(INF) + assert head_routes(r) == [(0, [0, 2, 4]), (1, [1, 3, 5])] + + +def test_reverse_arcs_and_preloaded_prices(): + # A reverse arc: the second unit cancels the first unit's middle link (7.3: reverse arcs undo an + # earlier choice); a preload: the slot prices read the static capacity, not the free one. + g = graph([(0, 1, 1, 1), (0, 2, 1, 5), (1, 2, 1, 1), (1, 3, 1, 5), (2, 3, 1, 1)]) + r = policy(g, 0, 3, 2).replace(INF) + assert (r.plan.common_share, routes(r), r.plan.route_cost) == ( + 1, + [[0, 3], [1, 4]], + 12, + ) + r = policy( + one10(), 0, 1, 2, ledger=ngc.FlowLedger(one10(), [6]), headroom=True + ).replace(INF, design_demand=4) + assert ( + r.plan.common_share, + r.plan.planned_per_tunnel, + r.plan.headroom_penalty, + ) == (3, 2, 6012954213) + + +def test_unlimited_design_and_up_to(): + # An unlimited design (u = U); G1 up to 6 delivers 49152. + g = graph(G1) + r = policy(g, 0, 3, 16, headroom=True).replace(INF) + assert (r.plan.planned_per_tunnel, r.plan.head_design, r.plan.design_demand) == ( + 2925, + (), + INF, + ) + assert (r.placed, r.termination) == (46812, T.EXHAUSTED) + r = policy(g, 0, 3, 6, up_to=True, headroom=True).replace(INF) + assert (r.plan.count, r.placed) == (6, 49152) + + +def test_up_to_reaches_the_design_exactly(): + # Three parallel links of 6, 5 and 4, D = 11, up to 3. k = 1: U = 6, F'(1) = 6. k = 2: U = 5 + # (one tunnel on the 6-link, one on the 5-link), the bounds 10 and 11 leave the score open, + # F'(2) = 11 (z = 11 gives 6 and 5) = D: chosen. k = 3: U = 4, its lower bound min(11, 3 * 4) + # already reaches D, so a budget F'(2) one unit low would choose 3. + g = graph([(0, 1, 6, 1), (0, 1, 5, 1), (0, 1, 4, 1)]) + r = policy(g, 0, 1, 3, up_to=True).replace(11) + assert (r.plan.count, r.plan.common_share, r.plan.planned_per_tunnel) == (2, 5, 5) + assert (routes(r), r.placed) == ([[0], [1]], 11) + + +def test_all_dead_and_insufficient_resolution(): + # A plan of zeros without a live head; every head dead, forwarding without tunnels. + g = twoh(0, 0) + for up, count in ((False, 2), (True, 1)): + for adm in (LOSSY, LOSSLESS): + p = policy(g, [0, 1], 2, 2 if not up else 3, adm, up_to=up) + r = p.replace(10, design_demand=10) + assert plan_tuple(r.plan) == ( + count, + 10, + ((0, 5), (1, 5)), + 0, + (), + False, + Fraction(0), + 0, + 0, + 0, + 0, + None, + 0, + ) + assert (r.program.tunnels, r.program.sources) == ((), (0, 1)) + assert r.placed == 0 and p.records() == [] + if adm == LOSSY: + assert (r.call_source_loss, r.termination) == (10, T.COMPLETE) + assert source_rows(r) == [(0, 5, 5, 0, 5, 0), (1, 5, 5, 0, 5, 0)] + else: + assert (r.unadmitted, r.termination) == (10, T.EXHAUSTED) + g = twoh(1, 100) + for adm in (LOSSY, LOSSLESS): + p = policy(g, [0, 1], 2, 16, adm) + r = p.replace(200, design_demand=200) + assert ( + r.plan.insufficient_resolution, + r.plan.fluid_share, + r.plan.common_share, + ) == (True, Fraction(1, 16), 0) + assert (r.plan.live_heads, r.program.tunnels, r.placed) == ((0, 1), (), 0) + assert p.program is not None and p.program.sources == (0, 1) + f = p.forward(10) + if adm == LOSSY: + assert source_rows(r) == [ + (0, 100, 100, 0, 100, 0), + (1, 100, 100, 0, 100, 0), + ] + assert (f.call_source_loss, f.termination) == (10, T.COMPLETE) + assert source_rows(f) == [(0, 5, 5, 0, 5, 0), (1, 5, 5, 0, 5, 0)] + else: + assert (r.termination, f.placed, f.termination) == ( + T.EXHAUSTED, + 0, + T.EXHAUSTED, + ) + assert f.plan == r.plan or plan_tuple(f.plan) == plan_tuple(r.plan) + + +def test_dead_head_rows_and_records(): + # A dead head's indices, rows and records; the round order with heads behind 3 and 8. + g = twoh(0, 10) + p = policy(g, [0, 1], 2, 2, LOSSY) + r = p.replace(10, design_demand=10) + assert [t.index for t in r.program.tunnels] == [1, 3] + assert source_rows(r) == [(0, 5, 5, 0, 5, 0), (1, 5, 5, 5, 0, 0)] + assert sorted(rec.entry for rec in p.records()) == [1, 3] + assert [(t.index, t.status, t.assigned, t.delivered) for t in r.by_tunnel] == [ + (1, UP, 3, 3), + (3, UP, 2, 2), + ] + r = policy(graph([(0, 2, 3, 1), (1, 2, 8, 1)]), [0, 1], 2, 2).replace( + INF, design_demand=6 + ) + assert [ + (t.index, t.head, t.local_index, list(t.edges)) for t in r.program.tunnels + ] == [ + (0, 0, 0, [0]), + (1, 1, 0, [1]), + (2, 0, 1, [0]), + (3, 1, 1, [1]), + ] + + +def test_optimized_one_source(): + # OPTIMIZED with one source: every field equal to the EQUAL call's. + g = graph(G1) + a = policy(g, 0, 3, 16, LOSSY, headroom=True).replace(49152) + p = policy(g, 0, 3, 16, LOSSY, headroom=True, origin=ngc.Origin.OPTIMIZED) + b = p.replace(49152) + assert plan_tuple(a.plan) == plan_tuple(b.plan) + assert (routes(a), rows(a), a.placed, a.call_drops) == ( + routes(b), + rows(b), + b.placed, + b.call_drops, + ) + assert (p.config.origin, b.program.source_weights) == (ngc.Origin.OPTIMIZED, None) + + +def test_planned_only_on_t2(): + # The planned bandwidth is T2's alone: 0 on T1's tunnels, on a controller's paths (Global, + # CostOnly MAX_FLOW) and on a supplied program's tunnels; Pinned over a T2 program keeps u. + g = twoh(2, 10) + + def planned(cfg, call): + p = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, cfg) + return [t.planned for t in call(p).program.tunnels] + + t1 = ngc.FlowPolicyConfig( + routing=ngc.CapacityAware(ngc.Tunnels(2)), admission=LOSSY + ) + assert planned(t1, lambda p: p.replace(12, design_demand=12)) == [0, 0, 0, 0] + assert planned(GLOBAL, lambda p: p.place(12)) == [0, 0] + max_flow = ngc.FlowPolicyConfig( + routing=ngc.CostOnly(), placement=ngc.FlowPlacement.MAX_FLOW + ) + assert planned(max_flow, lambda p: p.place(12)) == [0, 0] + supplied = ngc.ForwardingProgram.from_routes( + g, + [0, 1], + [2], + [ngc.Route(0, ngc.Path(g, [[0]])), ngc.Route(1, ngc.Path(g, [[1]]))], + ) + pinned = ngc.FlowPolicyConfig(routing=ngc.Pinned(supplied), admission=LOSSY) + assert planned(pinned, lambda p: p.replace(4)) == [0, 0] + laid = policy(g, [0, 1], 2, 2).replace(INF).program + assert [t.planned for t in laid.tunnels] == [1, 1, 1, 1] + replay = ngc.FlowPolicyConfig(routing=ngc.Pinned(laid), admission=LOSSY) + assert planned(replay, lambda p: p.replace(4)) == [1, 1, 1, 1] + + +def test_two_heads_equal_against_global(): + # Heads behind 2 and 10 against the global optimum, N = 2: the common size 1, lossless + # bound 4; optimized Global delivers 12 on the same network. + g = twoh(2, 10) + r = policy(g, [0, 1], 2, 2).replace(INF) + assert (r.plan.common_share, r.plan.planned_per_tunnel, r.placed) == (1, 1, 4) + assert ngc.capacity(g, [0, 1], 2, ngc.QueryOptions(GLOBAL)).placed == 12 + + +def test_empty_roster_zero_design_forward_and_flags(): + # An empty roster, a zero design, forward, and the change flags. + empty = graph([(1, 2, 5, 1)]) + for adm in (LOSSY, LOSSLESS): + r = policy(empty, 0, 2, 2, adm, headroom=True).replace(5, design_demand=5) + assert ( + r.termination, + r.program.tunnels, + r.program.sources, + r.program.destinations, + ) == (T.NO_ROUTE, (), (0,), (2,)) + assert plan_tuple(r.plan) == ( + 2, + 5, + (), + 0, + (), + False, + Fraction(0), + 0, + 0, + 0, + 0, + 0, + 0, + ) + r = policy(one10(), 0, 1, 2).replace(0) + assert ( + r.plan.planned_per_tunnel, + [t.planned for t in r.program.tunnels], + r.placed, + r.termination, + ) == ( + 1, + [1, 1], + 0, + T.COMPLETE, + ) + g = graph(G1) + p = policy(g, 0, 3, 16, LOSSY, headroom=True) + first = p.replace(49152) + f = p.forward(32768) + assert (f.placed, f.routes_changed, f.weights_changed, f.reservations_changed) == ( + 32768, + False, + False, + False, + ) + assert f.program is first.program and plan_tuple(f.plan) == plan_tuple(first.plan) + q = policy(g, 0, 3, 16, headroom=True) + q.replace(49152) + assert q.forward(INF).placed == 46812 + second = p.replace(49152, design_demand=8192) + assert ( + second.routes_changed, + second.weights_changed, + second.reservations_changed, + ) == (False, False, False) + assert (first.plan.planned_per_tunnel, second.plan.planned_per_tunnel) == ( + 2925, + 512, + ) + + +def test_no_certificates_and_plan_only_for_tunnels(): + # No certificates; the plan only for the tunnel models. + g = graph(G1) + r = policy(g, 0, 3, 16).replace(INF, outputs=ngc.OutputOptions(min_cut=True)) + assert (r.total_cost, r.min_cut, r.cost_distribution) == (None, None, None) + pin = ngc.FlowPolicy( + ngc.FlowLedger(g), 0, 3, ngc.FlowPolicyConfig(routing=ngc.Pinned(r.program)) + ) + assert pin.replace(10).plan is None + # An optimized-origin T2 policy whose roster is empty (source 0 reaches nothing): no + # certificate either, never an empty cut or curve. + empty = ngc.FlowPolicy( + ngc.FlowLedger(graph([(1, 2, 10, 1)], 3)), + 0, + 2, + t2_config(2, origin=ngc.Origin.OPTIMIZED), + ) + for offer, termination in ((5, T.NO_ROUTE), (0, T.COMPLETE)): + e = empty.replace(offer, outputs=ngc.OutputOptions(min_cut=True)) + assert (e.termination, e.placed, e.plan is not None) == (termination, 0, True) + assert (e.total_cost, e.min_cut, e.cost_distribution) == (None, None, None) + + +def test_t2_replay_with_every_tunnel_failed(): + # The 7.9 call's program with e0 and e1 masked: no head reaches 3; sixteen zero records. + g = graph(G1) + base = policy(g, 0, 3, 16, LOSSY, headroom=True) + base.replace(49152) + pin = ngc.FlowPolicy( + ngc.FlowLedger(g), + 0, + 3, + ngc.FlowPolicyConfig(routing=ngc.Pinned(base.program), admission=LOSSY), + g.eligibility(excluded_edges=[0, 1]), + ) + r = pin.replace(49152) + assert (r.termination, len(pin.records()), [t.status for t in r.by_tunnel]) == ( + T.NO_ROUTE, + 16, + [FAILED] * 16, + ) + assert all(rec.delivered == 0 for rec in pin.records()) + assert pin.replace(0).termination == T.COMPLETE + + +# ---------------------------------------------------------------- zero offers (E) + + +def test_zero_and_masked(): + # Zero offers and an Eligibility that excludes every edge. + g = twoh(0, 0) + for adm in (LOSSY, LOSSLESS): + p = policy(g, [0, 1], 2, 2, adm) + assert p.replace(0, design_demand=10).termination == T.COMPLETE + assert p.evaluate(0, design_demand=10).termination == T.COMPLETE + assert p.forward(0).termination == T.COMPLETE + r = p.replace(10, design_demand=10) + assert r.termination == (T.COMPLETE if adm == LOSSY else T.EXHAUSTED) + assert (r.program.tunnels, p.records()) == ((), []) + p = policy(twoh(1, 100), [0, 1], 2, 16, LOSSY) + assert (p.replace(0).termination, p.forward(0).termination) == ( + T.COMPLETE, + T.COMPLETE, + ) + assert source_rows(p.forward(10)) == [(0, 5, 5, 0, 5, 0), (1, 5, 5, 0, 5, 0)] + for adm in (LOSSY, LOSSLESS): + p = policy(one10(), 0, 1, 2, adm) + r = p.replace(0) + assert (r.termination, [t.planned for t in r.program.tunnels]) == ( + T.COMPLETE, + [1, 1], + ) + assert [(rec.entry, rec.delivered) for rec in p.records()] == [(0, 0), (1, 0)] + ids = [rec.flow_id for rec in p.records()] + e = p.evaluate(0) + assert ( + e.termination == T.COMPLETE and [rec.flow_id for rec in p.records()] == ids + ) + f = p.forward(0) + assert (f.termination, f.routes_changed, f.weights_changed) == ( + T.COMPLETE, + False, + False, + ) + assert len(p.records()) == 2 and [rec.flow_id for rec in p.records()] != ids + g = twoh(10, 10) + none = g.eligibility(excluded_edges=[0, 1]) + q = ngc.QueryOptions(t2_config(2), elig=none) + r = ngc.capacity(g, [0, 1], 2, q) + assert (r.termination, r.placed) == (T.NO_ROUTE, 0) + assert [ + x.termination for x in ngc.batch_capacity(g, [([0, 1], [2]), ([0], [2])], q) + ] == [T.NO_ROUTE] * 2 + + +# ---------------------------------------------------------------- evaluators (Q) + + +def test_capacity(): + # The design rule of capacity, nothing shared between pairs, a zero offered. + g = graph(G1) + hr16 = t2_config(16, headroom=True) + assert ngc.capacity(g, 0, 3, ngc.QueryOptions(hr16)).placed == 46812 + assert ( + ngc.capacity(g, 0, 3, ngc.QueryOptions(hr16, design_demand=8192)).placed + == 46812 + ) + ly = t2_config(16, LOSSY, headroom=True) + assert ( + ngc.capacity(g, 0, 3, ngc.QueryOptions(ly, design_demand=49152)).placed == 47104 + ) + assert ngc.capacity(g, 0, 3, ngc.QueryOptions(ly, offered=49152)).placed == 47104 + with pytest.raises( + ValueError, match=exact("T2 LOSSY capacity requires finite offered") + ): + ngc.capacity(g, 0, 3, ngc.QueryOptions(ly)) + with pytest.raises( + ValueError, match=exact("T2 LOSSY capacity requires finite offered") + ): + ngc.capacity(g, 0, 3, ngc.QueryOptions(ly, design_demand=INF)) + with pytest.raises( + ValueError, match=exact("T2 LOSSLESS capacity does not accept offered") + ): + ngc.capacity(g, 0, 3, ngc.QueryOptions(hr16, offered=5)) + with pytest.raises( + ValueError, + match=exact("design_demand must be an integer in [0, 2^62) or permitted +inf"), + ): + ngc.capacity(g, 0, 3, ngc.QueryOptions(hr16, design_demand=-1)) + r = ngc.capacity(g, 0, 3, ngc.QueryOptions(ly, offered=0)) + assert (r.termination, r.placed) == (T.COMPLETE, 0) + one = one10() + got = ngc.batch_capacity( + one, [([0], [1]), ([0], [1])], ngc.QueryOptions(t2_config(2)) + ) + assert [x.placed for x in got] == [10, 10] + + +@pytest.mark.parametrize("offered", [None, INF, 0, 7]) +@pytest.mark.parametrize("design", [None, 0, 4, INF]) +def test_lossy_offer_rule(design, offered): + # T2 LOSSY's offer rule in all three evaluators: a finite offer is used as given, an + # absent one is the design if finite, an explicit inf is an error whatever the design. + # One link of 10, N = 2: both tunnels share the link, delivery min(offer, 10). + g = one10() + q = ngc.QueryOptions(t2_config(2, LOSSY), design_demand=design, offered=offered) + if offered is None: + want = design if design is not None and design != INF else None + else: + want = None if offered == INF else offered + if want is None: + for call in ( + lambda: ngc.capacity(g, 0, 1, q), + lambda: ngc.batch_capacity(g, [([0], [1]), ([0], [1])], q, workers=2), + lambda: ngc.sensitivity(g, 0, 1, q, workers=2), + ): + with pytest.raises( + ValueError, match=exact("T2 LOSSY capacity requires finite offered") + ): + call() + return + assert ngc.capacity(g, 0, 1, q).placed == want + got = ngc.batch_capacity(g, [([0], [1]), ([0], [1])], q, workers=2) + assert [r.placed for r in got] == [want, want] + assert ngc.sensitivity(g, 0, 1, q, workers=2).baseline.placed == want + + +def test_sensitivity(): + # Every allowed link is a candidate; deleting head 0's zero link + # removes it from the roster (a negative loss). + g = twoh(0, 10) + s = ngc.sensitivity(g, [0, 1], 2, ngc.QueryOptions(t2_config(2), design_demand=10)) + assert (s.baseline.placed, [(e.edge, e.loss) for e in s.entries]) == ( + 0, + [(0, -10), (1, 0)], + ) + g = graph([(0, 1, 10, 1), (2, 1, 5, 1)]) # edge 1 lies on no route of source 0 + s = ngc.sensitivity(g, 0, 1, ngc.QueryOptions(t2_config(2))) + assert [(e.edge, e.loss) for e in s.entries] == [(0, 10), (1, 0)] + s = ngc.sensitivity(g, 0, 1, ngc.QueryOptions(t2_config(2, LOSSY), offered=0)) + assert [e.loss for e in s.entries] == [0, 0] + + +# ---------------------------------------------------------------- numeric ranges (W) + + +def test_ranges(): + # The numeric ranges: a route cost above 2^64, the largest sizes and budgets. + wide = graph([(0, 1, 16, 2**61 + 1)]) + assert ( + policy(wide, 0, 1, 16).replace(INF, design_demand=16).plan.route_cost + == 36893488147419103248 + ) + onemax = graph([(0, 1, L62 - 1, 1)]) + r = policy(onemax, 0, 1, 1, headroom=True).replace(INF) + assert (r.plan.common_share, r.plan.planned_per_tunnel, r.plan.planned_total) == ( + L62 - 1, + L62 - 1, + L62 - 1, + ) + assert (r.plan.headroom_penalty, r.plan.forwarding_bound, r.placed) == ( + 2**32, + L62 - 1, + L62 - 1, + ) + fan = graph([(h, 4, 2**60 - 1, 1) for h in range(4)]) + r = policy(fan, [0, 1, 2, 3], 4, 16).replace(INF) + assert (r.plan.common_share, r.plan.planned_total, r.plan.forwarding_bound) == ( + 2**56 - 1, + L62 - 64, + L62 - 4, + ) + dead = graph([(h, 101, 0, 1) for h in range(100)] + [(100, 101, 2**61, 1)]) + r = policy(dead, list(range(101)), 101, 2, up_to=True).replace(INF) + assert (r.plan.count, r.plan.forwarding_bound, r.plan.live_heads) == (1, 0, (100,)) + r = policy(dead, list(range(101)), 101, 1, LOSSY).replace(101) + assert (r.placed, r.call_source_loss) == (1, 100) + costmax = graph([(0, 1, 10000, L62 - 1)]) + r = policy(costmax, 0, 1, 10000, headroom=True).replace(INF, design_demand=10000) + assert (r.plan.common_share, r.plan.planned_per_tunnel) == (1, 1) + assert r.plan.route_cost == 10000 * (L62 - 1) == 46116860184273879030000 + assert ( + r.plan.headroom_penalty + == sum(2**32 * j // 10000 for j in range(1, 10001)) + == 21476983958656 + ) + + +# ---------------------------------------------------------------- the property test + + +def _random_case(rng): + """A small random graph with a route from 0 to the last node: rows (u, v, capacity, cost).""" + n = rng.randint(3, 5) + raw = [ + (i, i + 1, rng.choice([0, 2, 4, 6, 8]), rng.randint(1, 4)) for i in range(n - 1) + ] + for _ in range(rng.randint(1, 5)): + u, v = rng.randrange(n - 1), rng.randrange(1, n) + if u != v: + raw.append((u, v, rng.choice([0, 1, 2, 3, 4, 6, 8]), rng.randint(1, 4))) + rng.shuffle(raw) + return n, raw + + +def test_property(): + rng = random.Random(20261019) + laid = optimal = bounds = lossy_cmp = upto = live_all = 0 + for trial in range(300): + n, rows_ = _random_case(rng) + g = build(n, rows_) + edges = [rows_[int(i)] for i in g.input_index()] + sources = sorted(rng.sample(range(n - 1), rng.randint(1, min(2, n - 1)))) + dests = [n - 1] + mask = elig = None + if rng.random() < 0.3: + xe = [rng.randrange(len(rows_))] + mask, elig = ([], xe), g.eligibility(excluded_edges=xe) + caps = [c for _, _, c, _ in edges] + free = [rng.randint(0, c) for c in caps] if rng.random() < 0.4 else list(caps) + hr = rng.random() < 0.5 + N = rng.randint(1, 3) + up = rng.random() < 0.3 + D = rng.choice([None, rng.randint(0, 14)]) + fg = ngc.FlowLedger(g, free) + p = ngc.FlowPolicy( + fg, sources, dests, t2_config(N, headroom=hr, up_to=up), elig + ) + r = p.replace(INF, design_demand=INF if D is None else D) + want = orc.t2( + edges, sources, dests, N, D, up_to=up, V=free, mask=mask, headroom=hr + ) + where = (trial, rows_, sources, free, N, up, D, hr, mask) + pl = r.plan + assert (pl.count, list(pl.live_heads), pl.common_share, pl.fluid_share) == ( + want.count, + want.live, + want.U, + want.fluid, + ), where + assert (pl.planned_per_tunnel, pl.insufficient_resolution) == ( + want.u, + want.insufficient, + ), where + got = [(t.index, t.head, list(t.edges)) for t in r.program.tunnels] + assert got == [(t.index, t.head, t.path) for t in want.tunnels], where + assert (pl.route_cost, pl.headroom_penalty if hr else 0) == ( + want.J, + want.phi, + ), where + assert pl.forwarding_bound == want.F == r.placed, where + laid += 1 + if want.U: + # U maximal: U + 1 does not fit; J then Phi minimal over every count vector at u. + ok = orc.allowed(edges, mask) + k = want.count + assert not orc.t2_fits( + edges, ok, want.roster, want.live, dests, k, Fraction(want.U + 1), free + ), where + best = orc.t2_best_objectives( + edges, ok, want.live, dests, k, want.u, free, hr + ) + assert (want.J, want.phi) == best, where + optimal += 1 + K = len(want.live) * k + if want.u == want.U and want.live == want.roster: + assert 0 <= want.F - K * want.U < K, where # 7.6's remainder bound + bounds += 1 + if up: + upto += 1 + if want.live and want.live == want.roster: + live_all += 1 + # Lossy: the oracle's loss rule, conservation, the layout independent of the offer. + offer = rng.randint(0, 14) + lp = ngc.FlowPolicy( + ngc.FlowLedger(g, free), sources, dests, t2_config(N, LOSSY, hr, up), elig + ) + lr = lp.replace(offer, design_demand=INF if D is None else D) + assert [(t.index, list(t.edges)) for t in lr.program.tunnels] == [ + (a, c) for a, _, c in got + ], where + assert ( + lr.offered == lr.source_loss + sum(x for _, x in lr.drops) + lr.delivered + ), where + if want.roster: + try: + delivered, lost, per, _ = orc.lossy( + edges, want.roster, want.tunnels, offer, free + ) + except AssertionError: + continue + assert (lr.placed, lr.call_source_loss) == (delivered, lost), where + assert [ + (t.assigned, t.delivered, t.dropped) for t in lr.by_tunnel + ] == per, where + lossy_cmp += 1 + assert ( + laid > 250 + and optimal > 120 + and bounds > 40 + and lossy_cmp > 150 + and upto > 50 + and live_all > 100 + ), ( + laid, + optimal, + bounds, + lossy_cmp, + upto, + live_all, + ) + + +# ---------------------------------------------------------------- Python allocation failures + + +@needs_hooks +@pytest.mark.parametrize("method", ["replace", "evaluate", "forward"]) +def test_t2_results_survive_python_allocation_failures(method): + # Every Python object of a T2 result (the plan, its fields, the tunnels) exists before anything + # is published. Positional calls, as for T1 (the module docstring's limit 1). + g = graph(G1) + + def make(): + fg = ngc.FlowLedger(g) + p = ngc.FlowPolicy(fg, 0, 3, t2_config(4, LOSSY, True)) + p.replace(4096) + + def snapshot(): + return [full_ledger_state(fg), repr(p._state())] + + return getattr(p, method), (8192,), snapshot + + assert sweep_python_allocation(make) >= 3 + + +GETTER_SWEEP = """ +import _netgraph_core as ext, netgraph_core as ngc +g = ngc.Graph(4, [0, 0, 1, 2], [1, 2, 3, 3], [8192, 40960, 8192, 40960], [1, 1, 1, 1], 1.0) +cfg = ngc.FlowPolicyConfig(routing=ngc.Global(tunnels=ngc.Tunnels(4), prefer_headroom=True), + admission=ngc.Admission.LOSSY) +p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, cfg) +r = p.replace(4096) +gl = ngc.Global(tunnels=ngc.Tunnels(4)) +fn = lambda: {getter} +for k in range(400): + hit, seen, value, error = ext._fail_python_allocation(fn, (), k) + if not hit: + break + assert value is None and isinstance(error, (MemoryError, RuntimeError)), (k, error) +else: + raise SystemExit("never completed") +print("failures", k) +""" + + +@needs_hooks +@pytest.mark.parametrize( + "getter", + [ + "r.plan", + "r.plan.fluid_share", + "r.plan.live_heads", + "r.plan.route_cost", + "r.plan.headroom_penalty", + "r.program.tunnels", + "gl.tunnels", + ], +) +def test_t2_getters_survive_python_allocation_failures(getter): + import subprocess + import sys + + done = subprocess.run( + [sys.executable, "-c", GETTER_SWEEP.format(getter=getter)], + capture_output=True, + text=True, + timeout=300, + ) + assert done.returncode == 0, (getter, done.returncode, done.stderr[-400:]) + assert int(done.stdout.split()[-1]) >= 1 diff --git a/tests/py/tunnel_oracle.py b/tests/py/tunnel_oracle.py index 19cb627..4669540 100644 --- a/tests/py/tunnel_oracle.py +++ b/tests/py/tunnel_oracle.py @@ -1,10 +1,14 @@ """An independent reference for T1 (CapacityAware(Tunnels(N)), contract 6.2 to 6.5, 8.3, -8.4), the property tests of test_tunnels_t1.py. It restates the contract in plain Python and calls -nothing of the library: the requests in round order, every attempt a brute force over the simple -paths (a path stops at the first destination) with the bandwidth filter, the collapse of parallel -members and the single-path order, the cost ceilings with the pool baseline c0, the forwarding -(round robin over the heads, then over a head's up tunnels), the lossless bound, the replay under -a mask and the records per entry. +8.4) and T2 (Global(tunnels=Tunnels(N)), 7.2 to 7.8), the property tests of test_tunnels_t1.py and +test_tunnels_t2.py. It restates the contract in plain Python and calls nothing of the library: for +T1 the requests in round order, every attempt a brute force over the simple paths (a path stops at +the first destination) with the bandwidth filter, the collapse of parallel members and the +single-path order, the cost ceilings with the pool baseline c0; for T2 the live heads by simple +paths, the quota flow by augmenting paths (Edmonds-Karp), U by bisection over the integer sizes, +s* by trying every candidate fraction V[e] / j, the objectives by enumerating the count vectors of +path multisets, the canonical augmentation with Bellman-Ford, the cut into unit walks, and "up to" +over every count without pruning; for both the forwarding (round robin over the heads, then over a +head's up tunnels), the lossless bound, the replay under a mask and the records per entry. The Lossy loss rule is program_oracle.lossy (the synchronous rounds from zero, the nested split at each link): the tunnels' paths here are drawn over small graphs, and the property tests @@ -15,7 +19,8 @@ from __future__ import annotations -from dataclasses import dataclass +import itertools +from dataclasses import dataclass, field from fractions import Fraction import program_oracle @@ -93,6 +98,7 @@ class Tunnel: status: str path: list | None = None cost: int | None = None + planned: int = 0 @property def up(self): @@ -374,3 +380,376 @@ def termination(offer, roster, tunnels, alive, lossy_admission, admitted): if lossy_admission: return "COMPLETE" return "COMPLETE" if admitted == offer else "EXHAUSTED" + + +# ---------------------------------------------------------------- T2 (7.2 to 7.8) + +SCALE = 2**32 + + +def t2_live(edges, roster, dests, V, mask=None): + """The live heads: those with a simple path whose every link has V >= 1 (7.2).""" + ok = allowed(edges, mask) + xn = set(mask[0]) if mask else set() + live_dests = [d for d in dests if d not in xn] + return [ + h + for h in roster + if any( + all(V[e] >= 1 for e in p) for p in simple_paths(edges, ok, h, live_dests) + ) + ] + + +def _max_flow(n, arcs, s, t): + """Edmonds-Karp on (u, v, capacity) arcs; exact integers.""" + cap = {} + adj = [set() for _ in range(n)] + for u, v, c in arcs: + cap[(u, v)] = cap.get((u, v), 0) + c + cap.setdefault((v, u), 0) + adj[u].add(v) + adj[v].add(u) + flow = 0 + while True: + prev = {s: None} + queue = [s] + for u in queue: + for v in sorted(adj[u]): + if v not in prev and cap[(u, v)] > 0: + prev[v] = u + queue.append(v) + if t not in prev: + return flow + step, v = None, t + while prev[v] is not None: + step = cap[(prev[v], v)] if step is None else min(step, cap[(prev[v], v)]) + v = prev[v] + v = t + while prev[v] is not None: + cap[(prev[v], v)] -= step + cap[(v, prev[v])] += step + v = prev[v] + flow += step + + +def t2_fits(edges, ok, roster, live, dests, k, size, V): + """Do k tunnels of the common size `size` fit at every live head? The quota flow of 7.2: link + capacity min(K, floor(V / size)), an arc of k from a root to each live head, K from each + destination to a sink; links leaving a destination are not in it.""" + heads = live + K = len(heads) * k + n = 1 + max(max(u, v) for u, v, _, _ in edges) + root, sink = n, n + 1 + arcs = [ + (u, v, min(K, int(Fraction(V[e]) / size))) + for e, (u, v, _, _) in enumerate(edges) + if ok[e] and u not in dests + ] + arcs += [(root, h, k) for h in heads] + arcs += [(d, sink, K) for d in dests] + return _max_flow(n + 2, arcs, root, sink) == K + + +def t2_common(edges, ok, roster, live, dests, k, V): + """U: the largest integer size that fits (feasibility decreases in the size: bisection over + [1, max V]); 0 when none.""" + lo, hi = 0, max(V, default=0) + 1 # lo fits (0 by convention), hi does not + while hi - lo > 1: + mid = (lo + hi) // 2 + if t2_fits(edges, ok, roster, live, dests, k, Fraction(mid), V): + lo = mid + else: + hi = mid + return lo + + +def t2_fluid(edges, ok, roster, live, dests, k, V): + """s*: the largest fraction V[e] / j (j <= K) that fits (7.2).""" + K = len(live) * k + candidates = sorted( + {Fraction(v, j) for v in V if v for j in range(1, K + 1)}, reverse=True + ) + for c in candidates: + if t2_fits(edges, ok, roster, live, dests, k, c, V): + return c + return Fraction(0) + + +def t2_working(U, roster, live, k, D): + """u (7.2): for a finite design, min(U, max(1, max over live heads of ceil(RR(D, H, i) / k))), + the shares over the whole roster; unlimited: U.""" + if D is None: + return U + H = len(roster) + need = max(-(-rr(D, H, roster.index(h)) // k) for h in live) + return min(U, max(1, need)) + + +def slot_price(B, V, j, u): + """The headroom price of slot j of an edge (7.3).""" + return SCALE * (B - V + j * u) // B + + +def t2_objectives(edges, x, V, u, headroom): + J = sum(edges[e][3] * x[e] for e in range(len(edges))) + phi = ( + sum( + slot_price(edges[e][2], V[e], j, u) + for e in range(len(edges)) + if edges[e][2] > 0 + for j in range(1, x[e] + 1) + ) + if headroom + else 0 + ) + return J, phi + + +def t2_best_objectives(edges, ok, live, dests, k, u, V, headroom): + """The minimum (J, Phi) over every count vector of k simple paths per live head with x[e] <= + min(K, floor(V[e] / u)), by enumerating the path multisets (small graphs only).""" + K = len(live) * k + bound = [min(K, v // u) for v in V] + choices = [] + for h in live: + paths = simple_paths(edges, ok, h, dests) + choices.append(list(itertools.combinations_with_replacement(paths, k))) + best = None + for pick in itertools.product(*choices): + x = [0] * len(edges) + for multiset in pick: + for p in multiset: + for e in p: + x[e] += 1 + if any(a > b for a, b in zip(x, bound, strict=True)): + continue + value = t2_objectives(edges, x, V, u, headroom) + best = value if best is None or value < best else best + return best + + +def t2_canonical(edges, ok, live, dests, k, u, V, headroom): + """The canonical unit augmentation (7.3): K single units from zero, each on the residual path + from the root to the sink of minimum (J, Phi) price, then the fewest arcs, then the smallest + sequence of arc keys: (0, EdgeId, direction) for links, (1, head, direction) for root arcs, + (2, destination, direction) for sink arcs (forward 0, reverse 1). Bellman-Ford distances.""" + n = 1 + max(max(a, b) for a, b, _, _ in edges) + root, sink = n, n + 1 + K = len(live) * k + bound = [min(K, v // u) for v in V] + x = [0] * len(edges) + rootf = {h: 0 for h in live} + sinkf = {d: 0 for d in dests} + + def price(e, j): + B = edges[e][2] + return slot_price(B, V[e], j, u) if headroom and B > 0 else 0 + + for _ in range(K): + arcs = [] # (tail, head, price, key, action) + for e, (a, b, _, c) in enumerate(edges): + if not ok[e] or a in dests: + continue + cj = c + if x[e] < bound[e]: + arcs.append((a, b, (cj, price(e, x[e] + 1)), (0, e, 0), ("x", e, 1))) + if x[e] > 0: + arcs.append((b, a, (-cj, -price(e, x[e])), (0, e, 1), ("x", e, -1))) + for h in live: + if rootf[h] < k: + arcs.append((root, h, (0, 0), (1, h, 0), ("r", h, 1))) + if rootf[h] > 0: + arcs.append((h, root, (0, 0), (1, h, 1), ("r", h, -1))) + for d in dests: + if sinkf[d] < K: + arcs.append((d, sink, (0, 0), (2, d, 0), ("s", d, 1))) + if sinkf[d] > 0: + arcs.append((sink, d, (0, 0), (2, d, 1), ("s", d, -1))) + dist = {root: (0, 0)} + for _round in range(n + 3): + changed = False + for a, b, p, _, _ in arcs: + if a in dist: + cand = (dist[a][0] + p[0], dist[a][1] + p[1]) + if b not in dist or cand < dist[b]: + dist[b], changed = cand, True + if not changed: + break + assert not changed and sink in dist, "a negative cycle or no path" + + on = [ + (a, b, p, key, act) + for a, b, p, key, act in arcs + if a in dist + and b in dist + and (dist[a][0] + p[0], dist[a][1] + p[1]) == dist[b] + ] + hop = {sink: 0} + frontier = [sink] + while frontier: + nxt = [] + for v in frontier: + for arc in on: + if arc[1] == v and arc[0] not in hop: + hop[arc[0]] = hop[v] + 1 + nxt.append(arc[0]) + frontier = nxt + v = root + while v != sink: + arc = min( + (a for a in on if a[0] == v and hop.get(a[1]) == hop[v] - 1), + key=lambda a: a[3], + ) + kind, ident, step = arc[4] + if kind == "x": + x[ident] += step + elif kind == "r": + rootf[ident] += step + else: + sinkf[ident] += step + v = arc[1] + return x + + +def t2_program(edges, roster, live, dests, k, x, u): + """The tunnels (7.3): x cut, live head by live head in ascending NodeId, into unit walks along + the smallest positive EdgeId to a destination; each head's walks sorted by EdgeId sequence; + in round order (local index j, then roster position i), index j * H + i.""" + rem = list(x) + H = len(roster) + per_head = {} + for h in live: + walks = [] + for _ in range(k): + cur, walk = h, [] + while cur not in dests: + e = next( + e for e, (a, _, _, _) in enumerate(edges) if a == cur and rem[e] > 0 + ) + rem[e] -= 1 + walk.append(e) + cur = edges[e][1] + walks.append(walk) + per_head[h] = sorted(walks) + assert not any(rem), "the walks do not cover x" + tunnels = [] + for j in range(k): + for i, h in enumerate(roster): + if h not in per_head: + continue + path = per_head[h][j] + index = j * H + i + t = Tunnel(index, h, i, j, 0, UP, path, cost_of(edges, path), u) + tunnels.append(t) + return tunnels + + +@dataclass +class T2Plan: + roster: list + live: list + count: int + U: int = 0 + fluid: Fraction = Fraction(0) + u: int = 0 + x: list = field(default_factory=list) + tunnels: list = field(default_factory=list) + J: int = 0 + phi: int = 0 + F: int = 0 + scores: list = field(default_factory=list) + + @property + def insufficient(self): + return bool(self.live) and self.U == 0 + + +def t2_bound(edges, plan, V): + """F (7.6): the program's 8.3 lossless maximum: every roster head's share counts, a dead head's + included (it blocks every total that gives it a unit).""" + if not plan.roster: + return 0 + return lossless_bound(edges, plan.roster, plan.tunnels, V) + + +def t2_at(edges, ok, roster, live, dests, k, V, D, headroom, U=None): + """The T2 program at count k for the design D (None: unlimited).""" + plan = T2Plan(roster, live, k) + if not live: + return plan + plan.U = U if U is not None else t2_common(edges, ok, roster, live, dests, k, V) + plan.fluid = t2_fluid(edges, ok, roster, live, dests, k, V) + if plan.U == 0: + return plan # no tunnels; program_roster keeps the roster + plan.u = t2_working(plan.U, roster, live, k, D) + plan.x = t2_canonical(edges, ok, live, dests, k, plan.u, V, headroom) + plan.tunnels = t2_program(edges, roster, live, dests, k, plan.x, plan.u) + plan.J, plan.phi = t2_objectives(edges, plan.x, V, plan.u, headroom) + return plan + + +def live_share(roster, live, z): + """G(z): the live heads' part of the round-robin total z.""" + H = len(roster) + return sum(rr(z, H, i) for i, h in enumerate(roster) if h in live) + + +def live_budget(edges, plan, V): + """F'(k) (7.7): the largest total whose live shares fit on the program (dead shares + ignored).""" + roster = plan.roster + + def fits(z): + amounts, _ = entry_shares(z, roster, plan.tunnels) + return all( + a <= c for a, c in zip(loads(edges, plan.tunnels, amounts), V, strict=True) + ) + + M = len(roster) * plan.count + lo, hi = 0, M * (plan.U + 1) + while hi - lo > 1: + mid = (lo + hi) // 2 + lo, hi = (mid, hi) if fits(mid) else (lo, mid) + return lo + + +def t2( + edges, sources, dests, N, D=None, *, up_to=False, V=None, mask=None, headroom=False +): + """T2 for Tunnels(N) or Tunnels(N, up_to=True) on the free capacity V (default: the + capacities). Returns the T2Plan with its forwarding bound, and for "up to" the per-count + scores.""" + V = list(V) if V is not None else [c for _, _, c, _ in edges] + ok = allowed(edges, mask) + xn = set(mask[0]) if mask else set() + live_dests = [d for d in dests if d not in xn] + roster = roster_of(edges, sources, dests, mask) + live = t2_live(edges, roster, dests, V, mask) + scores = [] + if up_to: + target = live_share(roster, live, D) if D is not None else None + for k in range(1, N + 1): + at = t2_at(edges, ok, roster, live, live_dests, k, V, None, headroom) + budget = live_budget(edges, at, V) if at.tunnels else 0 + z = budget if D is None else min(D, budget) + scores.append(live_share(roster, live, z) if at.U else 0) + hit = [ + k for k in range(1, N + 1) if target is not None and scores[k - 1] == target + ] + chosen = ( + hit[0] if hit else min(range(1, N + 1), key=lambda k: (-scores[k - 1], k)) + ) + else: + chosen = N + plan = t2_at(edges, ok, roster, live, live_dests, chosen, V, D, headroom) + if not live: + plan.count = 1 if up_to else N + plan.F = t2_bound(edges, plan, V) + plan.scores = scores + return plan + + +def program_roster(plan): + """The roster a T2 program installs (7.8): the policy's whole roster, also without tunnels.""" + return plan.roster diff --git a/tests/typing/invalid_client.py b/tests/typing/invalid_client.py index 1ceb164..a718835 100644 --- a/tests/typing/invalid_client.py +++ b/tests/typing/invalid_client.py @@ -44,6 +44,8 @@ ng.capacity(g, 0, 1, cfg) # expect: reportArgumentType guard = ng.Tunnels(2) ng.CapacityAware(guard, max_path_cost=guard) # expect: reportArgumentType +ng.Global(tunnels=2) # expect: reportArgumentType +ng.Global(prefer_headroom="yes") # expect: reportArgumentType ng.to_units("1.5", 1.0) # expect: reportCallIssue, reportArgumentType # FlowPolicyConfig takes keywords only. ng.FlowPolicyConfig(ng.Global()) # expect: reportCallIssue diff --git a/tests/typing/valid_client.py b/tests/typing/valid_client.py index fa4166b..bef5b13 100644 --- a/tests/typing/valid_client.py +++ b/tests/typing/valid_client.py @@ -5,6 +5,7 @@ types of the generated stub: a wrong dtype, a lost Optional or a widened result fails here. """ +from fractions import Fraction from typing import assert_type import numpy as np @@ -88,6 +89,27 @@ assert_type( result.program.tunnels[0].edges if result.program else None, tuple[int, ...] | None ) +# T2: the controller's tunnels; the plan's exact fields (a Fraction, ints above 2^64). +te16 = ng.FlowPolicy( + ng.FlowLedger(g), + 0, + 3, + ng.FlowPolicyConfig( + routing=ng.Global(tunnels=ng.Tunnels(2, up_to=True), prefer_headroom=True), + admission=ng.Admission.LOSSY, + ), +) +t2 = te16.replace(4, design_demand=4).plan +if t2 is not None: + assert_type(t2.fluid_share, Fraction | None) + assert_type(t2.live_heads, tuple[int, ...] | None) + assert_type(t2.route_cost, int | None) + assert_type(t2.headroom_penalty, int | None) + assert_type(t2.forwarding_bound, int | None) + assert_type(t2.insufficient_resolution, bool | None) +assert_type(ng.Global(tunnels=ng.Tunnels(16)).tunnels, ng.Tunnels | None) +assert_type(ng.Global(tunnels=ng.Tunnels(16)).prefer_headroom, bool) +assert_type(result.program.tunnels[0].planned if result.program else 0, int) held = result.reservation_edge_flows if held is not None: assert_type(held, npt.NDArray[np.int64]) From b0d3a6e0198ad122f2be0ded6b8f65cfb5b43597 Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Mon, 19 Oct 2026 19:36:18 +0100 Subject: [PATCH 18/39] The unified API of contract r9 Every public and internal name is now final, with no alias left. Each routing model holds its own options (FlowPolicyConfig(routing, admission)); ShortestPaths() is ECMP, CentralizedTE states its source allocation, and a wrong type or a misplaced option is a TypeError when the object is built. One tie rule, RouteTieBreak, replaces PathSelection and EdgePriority. CostStretch is an exact fraction, CentralizedTE takes a support together with a tunnel count, every evaluator takes a finite offer, and ForwardingProgram.from_dag shares ShortestPaths' pooled builder. Enum getters and FlowPolicy.config no longer crash under a Python allocation failure. 155 of the contract's 168 examples run natively in C++ and Python; one is outside the input domain and 12 wait for steps 5 and 6. Co-Authored-By: Claude Opus 5.5 --- AGENTS.md | 2 +- CHANGELOG.md | 716 ++- CMakeLists.txt | 54 +- README.md | 321 +- bindings/python/axes.cpp | 119 - bindings/python/dag_cache.cpp | 60 - bindings/python/evaluators.cpp | 261 +- bindings/python/flow_ledger.cpp | 64 +- bindings/python/flow_policy.cpp | 104 +- bindings/python/flow_policy_config.cpp | 96 + bindings/python/flow_record.cpp | 46 +- .../{recorder.cpp => flow_solver_hook.cpp} | 22 +- bindings/python/forwarding_program.cpp | 267 + bindings/python/graph.cpp | 106 +- bindings/python/hooks.cpp | 2 +- bindings/python/integers.hpp | 104 +- bindings/python/module.cpp | 26 +- bindings/python/options.cpp | 78 + bindings/python/path.cpp | 16 +- .../{paths.cpp => path_enumeration.cpp} | 123 +- bindings/python/placement_result.cpp | 189 +- bindings/python/policy_config.cpp | 125 - .../{pred_dag.cpp => predecessor_dag.cpp} | 66 +- bindings/python/program.cpp | 211 - bindings/python/publication.hpp | 52 +- bindings/python/registration.hpp | 16 +- bindings/python/routing.cpp | 289 - bindings/python/routing_models.cpp | 416 ++ bindings/python/search.cpp | 94 +- bindings/python/shortest_path_cache.cpp | 60 + bindings/python/strict_bool.hpp | 50 + bindings/python/units.cpp | 2 +- bindings/python/values.hpp | 30 +- dev/cpp-tests.sh | 4 +- dev/perf/README.md | 20 +- dev/perf/aba.py | 20 +- dev/perf/aba_api.hpp | 387 +- dev/perf/aba_rows.hpp | 139 +- dev/perf/test_tool.py | 8 +- dev/run-checks.sh | 70 +- dev/stubs/check_clients.py | 25 +- dev/stubs/overrides.pyi | 396 +- docs/semantics.md | 2143 ++++---- include/netgraph/core/detail/cache_access.hpp | 50 +- include/netgraph/core/detail/edge_amounts.hpp | 10 +- include/netgraph/core/detail/enum_domain.hpp | 43 +- .../netgraph/core/detail/evaluator_checks.hpp | 32 +- include/netgraph/core/detail/forwarding.hpp | 123 +- include/netgraph/core/detail/graph_access.hpp | 24 +- include/netgraph/core/detail/int128.hpp | 36 +- .../netgraph/core/detail/ledger_access.hpp | 40 +- .../{flow_core.hpp => min_cost_flow.hpp} | 92 +- .../netgraph/core/detail/policy_engine.hpp | 114 +- .../netgraph/core/detail/private_hooks.hpp | 6 +- include/netgraph/core/detail/program_data.hpp | 163 +- ...red_dag_builder.hpp => route_builders.hpp} | 30 +- .../detail/{kernels.hpp => route_kernels.hpp} | 223 +- .../netgraph/core/detail/search_detail.hpp | 176 + include/netgraph/core/detail/trace.hpp | 2 +- include/netgraph/core/detail/traversal.hpp | 158 - .../detail/{tunnels.hpp => tunnel_setup.hpp} | 47 +- include/netgraph/core/eligibility.hpp | 4 +- include/netgraph/core/evaluators.hpp | 126 +- include/netgraph/core/flow_ledger.hpp | 40 +- include/netgraph/core/flow_policy.hpp | 288 +- include/netgraph/core/flow_record.hpp | 28 +- .../{program.hpp => forwarding_program.hpp} | 74 +- include/netgraph/core/graph.hpp | 73 +- include/netgraph/core/options.hpp | 119 +- .../{pred_dag.hpp => route_structures.hpp} | 45 +- include/netgraph/core/search.hpp | 89 +- ...{dag_cache.hpp => shortest_path_cache.hpp} | 42 +- include/netgraph/core/types.hpp | 6 +- python/netgraph_core/__init__.py | 92 +- python/netgraph_core/__init__.pyi | 1478 ++--- ...nels_t2.cpp => centralized_te_tunnels.cpp} | 72 +- src/distributed_te.cpp | 76 + src/eligibility.cpp | 8 +- src/evaluators.cpp | 325 +- src/flow_ledger.cpp | 378 +- src/flow_policy.cpp | 1527 +++--- src/forwarding.cpp | 974 ++-- src/forwarding_program.cpp | 559 ++ src/graph.cpp | 270 +- src/{flow_core.cpp => min_cost_flow.cpp} | 520 +- src/program.cpp | 494 -- src/{kernels.cpp => route_kernels.cpp} | 568 +- src/{pred_dag.cpp => route_structures.cpp} | 174 +- src/search.cpp | 691 ++- ...{dag_cache.cpp => shortest_path_cache.cpp} | 56 +- src/tunnels_t1.cpp | 73 - ...s.cpp => centralized_te_tunnels_tests.cpp} | 606 ++- tests/cpp/contract_examples_tests.cpp | 2279 ++++++++ ..._t1_tests.cpp => distributed_te_tests.cpp} | 768 +-- tests/cpp/eligibility_tests.cpp | 8 +- tests/cpp/fault_injection.hpp | 2 +- tests/cpp/flow_ledger_fault_tests.cpp | 136 +- tests/cpp/flow_ledger_tests.cpp | 388 +- tests/cpp/flow_policy_fault_tests.cpp | 561 +- tests/cpp/flow_policy_fixture_tests.cpp | 126 +- tests/cpp/flow_policy_tests.cpp | 1414 ++--- tests/cpp/graph_concurrency_tests.cpp | 56 +- tests/cpp/graph_fault_tests.cpp | 24 +- tests/cpp/graph_inputs.hpp | 38 +- tests/cpp/graph_layout_tests.cpp | 135 +- tests/cpp/graph_reference.hpp | 84 +- tests/cpp/graph_tests.cpp | 128 +- tests/cpp/ksp_tests.cpp | 268 +- tests/cpp/layout_checker.hpp | 78 +- ...=> min_cost_flow_deletion_fault_tests.cpp} | 42 +- ...s.cpp => min_cost_flow_deletion_tests.cpp} | 308 +- ...core_tests.cpp => min_cost_flow_tests.cpp} | 180 +- ...cpp => pooled_source_allocation_tests.cpp} | 576 +- tests/cpp/program_tests.cpp | 877 +-- tests/cpp/public_names_tests.cpp | 139 + ...nels_tests.cpp => route_kernels_tests.cpp} | 604 +-- tests/cpp/route_policy.hpp | 40 +- ...g_tests.cpp => route_structures_tests.cpp} | 120 +- tests/cpp/search_fault_tests.cpp | 64 +- tests/cpp/search_reference.hpp | 60 +- tests/cpp/search_tests.cpp | 470 +- ...ests.cpp => shortest_path_cache_tests.cpp} | 138 +- ....cpp => shortest_paths_creation_tests.cpp} | 398 +- tests/cpp/state_comparators.hpp | 90 +- tests/cpp/test_utils.hpp | 420 +- tests/cpp/zero_capacity_tests.cpp | 368 +- tests/py/contract_api.py | 524 ++ tests/py/flow_oracle.py | 74 +- tests/py/helpers.py | 142 +- tests/py/private_hooks.py | 2 +- tests/py/program_oracle.py | 14 +- tests/py/removed_names_reviewed.txt | 491 ++ ..._oracle.py => source_allocation_oracle.py} | 132 +- ...s_t2.py => test_centralized_te_tunnels.py} | 931 +++- tests/py/test_configuration.py | 958 ++++ tests/py/test_contract_examples.py | 4744 +++++++++++++++++ tests/py/test_cost_stretch.py | 157 + ...t_tunnels_t1.py => test_distributed_te.py} | 783 +-- tests/py/test_docs_examples.py | 2 +- tests/py/test_edge_amounts.py | 38 +- tests/py/test_evaluators.py | 591 ++ tests/py/test_flow_ledger.py | 184 +- tests/py/test_flow_policy.py | 798 +-- tests/py/test_flow_policy_fixtures.py | 144 +- tests/py/test_getter_allocation.py | 186 + tests/py/test_graph.py | 181 +- tests/py/test_ksp.py | 262 +- tests/py/test_ledger_projections.py | 101 +- ...est_flow_core.py => test_min_cost_flow.py} | 169 +- tests/py/test_native_allocation.py | 120 +- tests/py/test_pooled.py | 204 +- tests/py/test_programs.py | 1417 +++-- tests/py/test_public_surface.py | 701 ++- tests/py/test_removed_names.py | 603 +++ tests/py/test_route_choice.py | 32 + tests/py/test_route_structures.py | 129 +- tests/py/test_search.py | 168 +- ...g_cache.py => test_shortest_path_cache.py} | 216 +- ...st_origin.py => test_source_allocation.py} | 544 +- tests/py/test_tunnel_oracle.py | 100 +- tests/py/test_zero_capacity.py | 194 +- tests/py/tunnel_oracle.py | 90 +- tests/typing/invalid_client.py | 54 +- tests/typing/valid_client.py | 171 +- 164 files changed, 30618 insertions(+), 15763 deletions(-) delete mode 100644 bindings/python/axes.cpp delete mode 100644 bindings/python/dag_cache.cpp create mode 100644 bindings/python/flow_policy_config.cpp rename bindings/python/{recorder.cpp => flow_solver_hook.cpp} (88%) create mode 100644 bindings/python/forwarding_program.cpp create mode 100644 bindings/python/options.cpp rename bindings/python/{paths.cpp => path_enumeration.cpp} (54%) delete mode 100644 bindings/python/policy_config.cpp rename bindings/python/{pred_dag.cpp => predecessor_dag.cpp} (63%) delete mode 100644 bindings/python/program.cpp delete mode 100644 bindings/python/routing.cpp create mode 100644 bindings/python/routing_models.cpp create mode 100644 bindings/python/shortest_path_cache.cpp create mode 100644 bindings/python/strict_bool.hpp rename include/netgraph/core/detail/{flow_core.hpp => min_cost_flow.hpp} (82%) rename include/netgraph/core/detail/{pred_dag_builder.hpp => route_builders.hpp} (64%) rename include/netgraph/core/detail/{kernels.hpp => route_kernels.hpp} (62%) create mode 100644 include/netgraph/core/detail/search_detail.hpp delete mode 100644 include/netgraph/core/detail/traversal.hpp rename include/netgraph/core/detail/{tunnels.hpp => tunnel_setup.hpp} (59%) rename include/netgraph/core/{program.hpp => forwarding_program.hpp} (59%) rename include/netgraph/core/{pred_dag.hpp => route_structures.hpp} (66%) rename include/netgraph/core/{dag_cache.hpp => shortest_path_cache.hpp} (77%) rename src/{tunnels_t2.cpp => centralized_te_tunnels.cpp} (93%) create mode 100644 src/distributed_te.cpp create mode 100644 src/forwarding_program.cpp rename src/{flow_core.cpp => min_cost_flow.cpp} (65%) delete mode 100644 src/program.cpp rename src/{kernels.cpp => route_kernels.cpp} (67%) rename src/{pred_dag.cpp => route_structures.cpp} (64%) rename src/{dag_cache.cpp => shortest_path_cache.cpp} (63%) delete mode 100644 src/tunnels_t1.cpp rename tests/cpp/{tunnels_t2_tests.cpp => centralized_te_tunnels_tests.cpp} (72%) create mode 100644 tests/cpp/contract_examples_tests.cpp rename tests/cpp/{tunnels_t1_tests.cpp => distributed_te_tests.cpp} (70%) rename tests/cpp/{flow_core_deletion_fault_tests.cpp => min_cost_flow_deletion_fault_tests.cpp} (93%) rename tests/cpp/{flow_core_deletion_tests.cpp => min_cost_flow_deletion_tests.cpp} (85%) rename tests/cpp/{flow_core_tests.cpp => min_cost_flow_tests.cpp} (89%) rename tests/cpp/{pooled_origin_tests.cpp => pooled_source_allocation_tests.cpp} (66%) create mode 100644 tests/cpp/public_names_tests.cpp rename tests/cpp/{kernels_tests.cpp => route_kernels_tests.cpp} (71%) rename tests/cpp/{pred_dag_tests.cpp => route_structures_tests.cpp} (67%) rename tests/cpp/{dag_cache_tests.cpp => shortest_path_cache_tests.cpp} (79%) rename tests/cpp/{cost_only_creation_tests.cpp => shortest_paths_creation_tests.cpp} (57%) create mode 100644 tests/py/contract_api.py create mode 100644 tests/py/removed_names_reviewed.txt rename tests/py/{origin_oracle.py => source_allocation_oracle.py} (83%) rename tests/py/{test_tunnels_t2.py => test_centralized_te_tunnels.py} (55%) create mode 100644 tests/py/test_configuration.py create mode 100644 tests/py/test_contract_examples.py create mode 100644 tests/py/test_cost_stretch.py rename tests/py/{test_tunnels_t1.py => test_distributed_te.py} (62%) create mode 100644 tests/py/test_evaluators.py create mode 100644 tests/py/test_getter_allocation.py rename tests/py/{test_flow_core.py => test_min_cost_flow.py} (85%) create mode 100644 tests/py/test_removed_names.py create mode 100644 tests/py/test_route_choice.py rename tests/py/{test_dag_cache.py => test_shortest_path_cache.py} (62%) rename tests/py/{test_origin.py => test_source_allocation.py} (56%) diff --git a/AGENTS.md b/AGENTS.md index cdda238..f93beea 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -13,7 +13,7 @@ Confirm defects with a reproducer. Max-flow tests need feasibility, conservation and optimality/cut checks with nonuniform costs, excluded nodes and edges, and -cost ceilings (Absolute, Stretch). +cost ceilings (AbsoluteCost, CostStretch). A binding signature or docstring change needs the regenerated type stub (`bash dev/stubs/run.sh generate`; `make stubs-check` checks drift, package contents and typed clients). Performance claims need correctness checks and diff --git a/CHANGELOG.md b/CHANGELOG.md index da8ba14..1c3e2f8 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -8,257 +8,240 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ## [Unreleased] A rebuilt Core (breaking): one numeric domain (integer units), one flow core, one placement -engine. It replaces the 0.11 API. +engine with four routing models, forwarding programs and three evaluators. It replaces the 0.11 +API. ### Changed -- **Graph**: `Graph(num_nodes, src, dst, capacity_units, cost, resolution)` (replacing 0.11's - `StrictMultiDiGraph`) is the one constructor: capacities are `int64` units of an explicit - resolution (a power of two in `[2^-32, 2^32]`), costs are positive integers, and the public - `EdgeId` is the rank of an edge in `(src, cost, dst, input)` with `input_index()` mapping ids - to input positions. Validation reports the first defect in a fixed order (the resolution, the - unit values, the shapes, zero or negative costs, the remaining bounds including the cost-sum - guard), on the exact integers also beyond int64. Accessors return read-only NumPy views that - keep their graph alive, also when empty. +- **Graph**: `Graph(num_nodes, edge_sources, edge_destinations, edge_capacity_units, edge_costs, + resolution)` (replacing 0.11's `StrictMultiDiGraph`) is the one constructor: capacities are + `int64` units of an explicit resolution (a power of two in `[2^-32, 2^32]`), costs are positive + integers, and the public `EdgeId` is the rank of an edge in `(source, cost, destination, input)` + with `input_positions()` mapping ids to input positions. Validation reports the first defect in + a fixed order (the resolution, the unit values, the shapes, zero or negative costs, the remaining + bounds including the cost-sum guard), on the exact integers also beyond int64. Accessors + (`edge_capacity_units()`, `edge_costs()`, `edge_sources()`, `edge_destinations()`, + `outgoing_offsets()`, `incoming_offsets()`, `incoming_edges()`) return read-only NumPy views + that keep their graph alive, also when empty; `max_edge_cost()` and `edge_cost_gcd()` read the + costs. Construction numbers the edges by counting sort, in expected time linear in edges plus nodes for typical costs; above 65,536 distinct costs, or when the hash table that ranks the costs examines too many slots, it sorts all costs instead. Moving a graph no longer allocates. `Eligibility` is built from excluded node ids and EdgeIds, with `Eligibility.intersect(a, b)`. `to_units` (round half up) and `as_float` are the only conversions between physical values and units. -- **Route structures**: `PredDAG.from_csr(graph, offsets, parents, via)` with the complete - validation (shape, ranges, endpoints, duplicates, cycles, ascending via within a node); a DAG - is stored over its member nodes and presents the CSR shape on demand. `Path(graph, hops)` - with `to_dag()`. `PathSelection` (every field defaulted: `DETERMINISTIC`, `CAPACITY`, - `multipath=None`, `multi_edge=True`; `multipath=None` is the model's natural shape, the DAG for - the searches and CostOnly, one path for a tunnel model, which rejects `True`), `EdgeTieBreak` (`DETERMINISTIC`, `PREFER_HIGHER_PRIORITY`), - `EdgePriority` (`RESIDUAL`, `CAPACITY`, `HEADROOM`). -- **Ledger**: `FlowLedger(graph, residual=None, *, unreserved=None)` (replacing 0.11's - `FlowGraph`) is the integer ledger, in two projections that are never added: the carried - traffic (a service baseline `residual`; `allocated()`, `residual()`) and the strict holds of T1 - tunnels (a reservation baseline `unreserved`; `reserved()`, `unreserved()`), each baseline - validated within `[0, capacity_units]` (`unreserved` with the residual's messages under its own - name). Records as snapshots in FlowId order (`records()`, `record(flow_id)` with `FlowId = - (ledger uid, id)`, ids never reused), `capacity_units()`, `bottleneck(sources, elig)` (the - carried traffic only), `reset(residual=None, *, unreserved=None)` and `copy()` (both rejected - while a policy is bound; `reset()` clears the records and holds a destroyed policy left behind; - a copy keeps the holds). `FlowRecord` carries the flow's endpoints as sets, admission, bundle - (`PredDAG`), route cost, `offered` (Lossy only), delivery, per-edge allocations, drops and - `reserved_edges` (an up T1 tunnel's holds), and `entry` (the program entry a T1, T2 or Pinned - record carries); counters are 128-bit (exact Python ints). Policies place, hold and remove; holds - never police traffic. -- **Kernels**: `FlowPlacement` (`MAX_FLOW`, `WEIGHTED`, `EQUAL_BALANCED`) and `Admission` - (`LOSSLESS`, `LOSSY`). `MAX_FLOW` re-solves the flow with the flow core on its route over the free - capacity plus its own allocation; `WEIGHTED` splits in proportion to integer weights frozen when - the route is prepared, from a `WeightBasis` (`CAPACITY`, `EXPLICIT` with `edge_weights`, - `RESIDUAL_SNAPSHOT`; the selection's priority no longer chooses weights, so `WEIGHTED` with - `HEADROOM` is allowed for CostOnly) (highest averages, D'Hondt, EdgeId ties); `EQUAL_BALANCED` splits equally by - round robin from the lowest EdgeId; Lossy splits each offer per call and records transit drops - and what is lost at a source. -- **Policies**: `FlowPolicy(ledger, sources, destinations, config, elig=None, cache=None)` - is the one placement engine. `FlowPolicyConfig(*, routing, placement=None, - admission=LOSSLESS, selection=None, origin=None, weights=None, edge_weights=None)` takes - keywords only; the routing is `CostOnly()`, `CapacityAware(Tunnels(N), *, max_path_cost=None, - min_unreserved_bandwidth=0)` (T1, below), `Global(*, support=None, tunnels=None)` (a support - restricts the controller to a DAG's edges; `tunnels` makes it T2, below) or `Pinned(program, *, - black_holes=None)`; each routing accepts the - combinations of one table (placement required for CostOnly and accepted by no other routing; - `Origin.EQUAL` or `OPTIMIZED`; admission; selection; weights) and any other raises - `ValueError`, the first defect in a stated order. - `place(volume, outputs=None)` forwards CostOnly's pooled program or re-solves the controllers - (Global and CostOnly `MAX_FLOW`: the cumulative minimum-cost flow on the residual plus the - policy's own allocation, under either origin); T1 and T2 have no `place` (` does not - support incremental placement`). Every call returns `PlacementResult`: this call's `placed`, - `remaining`, `delivery_delta`, `call_drops`, `call_source_loss`, `termination` and the flags - `routes_changed`, `weights_changed` and `reservations_changed`; the demand's `requested`, - `offered`, `admitted`, `delivered`, `unadmitted`, `source_loss`, `drops`, `by_source` - (`SourceFlow` rows), `total_cost` and `cost_distribution`, `program`, `plan` (the tunnel - models' `TunnelPlan`: `count`, `design_demand`, `head_design`, `reserved_total`, and T2's - `live_heads`, `insufficient_resolution`, `fluid_share`, `common_share`, `planned_per_tunnel`, - `planned_total`, `route_cost`, `headroom_penalty`, `forwarding_bound`) and `by_tunnel` - (`TunnelFlow` rows); and `edge_flows`, `residual`, `bottleneck`, `reservation_edge_flows` and - `min_cut` when requested through `OutputOptions`. A request of 0 is validated like any other. - `evaluate(offer, *, design_demand=None)` (computes a whole new offer on the policy's released - view and publishes nothing), `replace(offer, *, design_demand=None)` (the same, published: new - records, a new epoch; `design_demand` is the tunnel models' design, `None` meaning the offer, - rejected by the other routings) and `forward(offer, black_holes=None)` (a whole new offer over - the installed program, no route computation, T1's holds and T2's plan kept), `remove()`, `records()`, `record(flow_id)` - (the policy's own records), `placed_demand()` and `program` complete the policy. -- **T1 tunnels**: `CapacityAware(Tunnels(N))` models distributed RSVP-TE head ends, with no +- **Route structures**: `PredecessorDAG.from_csr(graph, parent_offsets, parents, via_edges)` with + the complete validation (shape, ranges, endpoints, duplicates, cycles, ascending via within a + node); a DAG is stored over its member nodes and presents the CSR shape on demand. + `Path(graph, hops)` with `source()`, `destination()`, `cost()` and `to_dag()`. +- **Route choice**: one tie rule, `RouteTieBreak` (`FEWER_HOPS`, the default, `HIGHER_CAPACITY`, + `HIGHER_AVAILABLE_CAPACITY`, `HIGHER_HEADROOM`): cost first, then for a `HIGHER_*` value the + larger bottleneck of its edge score (static capacity, the availability of the search, or their + exact ratio), then fewer hops, then the smaller EdgeId sequence. `multipath: bool` (every + equal-cost route, or the canonical path; `ShortestPaths` and `spf` only) and `parallel_edges: + bool` (every parallel link, or one per pair) sit on the model or the search options. A + `HIGHER_*` rule with every route and every parallel edge kept has nothing to choose and is + rejected (`spf tie_break requires multipath=False or parallel_edges=False`, `ShortestPaths + tie_break requires multipath=False or parallel_edges=False`). The tie rule never supplies + weights. +- **Ledger**: `FlowLedger(graph, service_baseline=None, *, reservation_baseline=None)` + (replacing 0.11's `FlowGraph`) is the integer ledger, in two projections that are never added: + the carried traffic (`carried()`, `residual()`) and the strict holds of T1 tunnels + (`reserved()`, `unreserved()`), each baseline validated within `[0, edge_capacity_units]`. + Records as snapshots in FlowId order (`records()`, `record(flow_id)` with `FlowId = (ledger uid, + id)`, ids never reused), `edge_capacity_units()`, `saturated_boundary_edges(sources, + eligibility=None)` (the carried traffic only), `reset(service_baseline=None, *, + reservation_baseline=None)` and `copy()` (both rejected while a policy is bound; `reset()` clears + the records and holds a destroyed policy left behind; a copy keeps the holds). `FlowRecord` + carries `flow_id`, `policy_id`, the endpoints as sets, `admission`, `entry_id` (the program entry + a T1, T2 or Pinned record carries), `route` (a `PredecessorDAG`), `min_route_cost`, `offered` + (Lossy only), `delivered`, `edge_flows`, `edge_drops` and `edge_reservations`; counters are + 128-bit (exact Python ints). Policies place, hold and remove; holds never police traffic. +- **Route allocations**: `RouteAllocation` (`EQUAL`, `WEIGHTED`, `OPTIMIZED`) and `Admission` + (`LOSSLESS`, `LOSSY`). `EQUAL` splits equally by round robin from the lowest EdgeId; `WEIGHTED` + splits by highest averages (D'Hondt, EdgeId ties) over integer weights frozen when the program + is prepared, from a `WeightBasis` (`CAPACITY`, `EXPLICIT` with `edge_weights`, + `RESIDUAL_SNAPSHOT`); `OPTIMIZED` re-solves the flow with the flow core on its route over the + free capacity plus its own allocation; Lossy splits each offer per call and records the drops on + each edge and what is lost at a source. +- **Configuration**: `FlowPolicyConfig(*, routing, admission=LOSSLESS)` holds the routing model + and the admission; every other option belongs to the model that reads it: + `ShortestPaths(*, allocation=EQUAL, source_allocation=None, weight_basis=None, + edge_weights=None, tie_break=FEWER_HOPS, multipath=True, parallel_edges=True)` (ECMP by + default; `WEIGHTED` is WCMP; `OPTIMIZED` a controller restricted to the shortest routes), + `DistributedTE(tunnel_count, *, cost_ceiling=None, min_unreserved_bandwidth=0, + tie_break=FEWER_HOPS, parallel_edges=True)` (T1), `CentralizedTE(*, source_allocation, + support=None, tunnel_count=None, prefer_headroom=False)` (the source allocation is required; + with `tunnel_count`, T2) and `Pinned(program, *, black_holes=None)`; `TunnelCount(per_head, *, + up_to=False)`. `SourceAllocation` (`EQUAL`, `OPTIMIZED`) says how a demand's total enters at its + sources. Every configuration value is immutable (read-only fields; a model's `edge_weights` is + one shared array) and validated in two stages: construction raises `TypeError` for an unknown + keyword (every field of another model included), a missing required argument, `None` where none + is allowed, a bool field given anything but a `bool` or `numpy.bool_`, and an integer field + given a non-integer (`TunnelCount per_head must be an integer (got bool)`); a policy or an + evaluator raises `ValueError` for the rest, in a stated order: the endpoints, the ownership of + the mask, program, support, cache and black holes, the enumeration values, the model matrix + (route and source allocation, admission, the route-choice rules including the pooled + single-path rule, `prefer_headroom requires tunnel_count`, the weight combinations, and last a + cache on a model that does not read it), then the models' own fields, the tunnel limit and + Pinned's endpoints. A policy's `config` is the configuration it was built with, + `ShortestPaths`' absent source allocation and weight basis resolved. +- **Policies**: `FlowPolicy(ledger, sources, destinations, config, eligibility=None, cache=None)` + is the one placement engine. `place(offer, outputs=None)` forwards `ShortestPaths`' pooled + program or re-solves the controllers (`CentralizedTE` and `ShortestPaths` `OPTIMIZED`: the + cumulative minimum-cost flow on the residual plus the policy's own allocation, under either + source allocation); T1 and T2 have no `place`. `evaluate(offer, *, design_demand=None)` computes + a whole new offer on the policy's released view and publishes nothing, `replace(offer, *, + design_demand=None)` publishes it (new records, a new epoch; `design_demand` is the tunnel + models' design, `None` meaning the offer), `forward(offer, *, black_holes=None)` sends a whole + new offer over the installed program (no route computation; T1's holds and T2's plan kept), and + `remove()`, `records()`, `record(flow_id)`, `delivered()`, `config` and `program` complete the + policy. Every call returns `PlacementResult`: this call's `call_delivered`, + `call_undelivered`, `delivery_delta`, `call_edge_drops`, `call_source_drops`, `termination` + (`COMPLETE`, `NO_ROUTE`, `EXHAUSTED`, `NO_ACTIVE_WEIGHT`) and the flags `routes_changed`, + `weights_changed` and `reservations_changed`; the demand's `requested`, `offered`, `admitted`, + `delivered`, `unadmitted`, `source_drops`, `edge_drops`, `by_source` (`SourceFlow` rows), + `by_tunnel` (`TunnelFlow` rows), `total_cost`, `marginal_cost_curve`, `program` and `plan` (the + tunnel models' `TunnelPlan`); and `edge_flows`, `residual`, `saturated_boundary_edges`, + `edge_reservations` and `min_cut` when requested through `OutputOptions`. An offer of 0 is + validated like any other. +- **Pooled sources**: a demand with several sources is one demand. `ShortestPaths` with `EQUAL` + or `WEIGHTED` prepares one program per epoch at its first positive call (each roster source's + selected route on the residual at that call's entry; their union), splits the traffic of all + sources once at every router they share, and gives each source its part by highest averages + (records sum exactly to the totals); Lossless admits the largest equal total that fits with no + drop, so a source that cannot pass anything holds the demand at the number of sources before it. + `ShortestPaths` `OPTIMIZED` is one controller on the union of the sources' routes, as + `CentralizedTE` is on the whole graph. With several sources, `multipath=False` requires + `tie_break=FEWER_HOPS` (`ShortestPaths with multiple input sources requires tie_break=FEWER_HOPS + when multipath=False`). +- **T1 tunnels**: `DistributedTE(TunnelCount(N))` models distributed RSVP-TE head ends, with no controller. A design volume D is split by round robin over the roster heads and each head's - share over its N tunnels; in round order (round `j`, heads ascending: entry index `j * H + i`) - each tunnel runs CSPF on the unreserved capacity (the ledger's, this policy's own holds - released, minus this setup's earlier tunnels): the allowed links with at least `max(request, - min_unreserved_bandwidth)` units (no filter for a request of 0 with a minimum of 0), then the - member rule with `multi_edge=False`, then the canonical single path on static costs with - priorities read on that view, then the cost ceiling (`Absolute` inclusive; `Stretch` relative to - the smallest static shortest cost over all roster heads, one pool baseline). A tunnel is `UP` - and holds its request on every link of its path, or down (`TunnelStatus.NO_BANDWIDTH`, - `COST_CEILING`) with no path and weight 0. Traffic enters by round robin over the heads and - then over each head's up tunnels; a head with no up tunnel loses its share. Its program lists - the tunnels with `status`, `requested` and `reserved` (`destination`, `edges` and `route_cost` - are `None` for a down tunnel); one record per entry; a `Pinned` replay keeps setup-down tunnels - down and books no hold. Evaluators require a finite `QueryOptions.design_demand` for T1 - (`capacity` evaluates the tunnels set up for it; `sensitivity` sets up again under each - deletion). Validation: `tunnel count must be in [1, 10000]`, `T1 requires an exact tunnel - count`, `T1 requires multipath=False`, `min_unreserved_bandwidth must be an integer in [0, - 2^62)`, `tunnel limit exceeded: heads x tunnels > 1073741823`, `T1 requires a finite - design demand`, ` does not accept design_demand` and `T1 capacity requires - design_demand`. -- **T2 tunnels**: `Global(tunnels=Tunnels(N))` models a central controller: every live head - (one reaching a destination over links with free capacity of at least one unit; the others are - dead, keep their roster position and lose their share) gets N single-path tunnels with one - common whole-unit planned bandwidth. The largest common size U comes from quota flows (K = live - heads times N path units, a maximum flow per tested size), with the exact fluid optimum as a - `Fraction`; a finite design lowers it to the largest live design share per tunnel; then, among - the count vectors at that size, the smallest route-cost sum, then with `prefer_headroom=True` the - smallest headroom penalty (each tunnel on a link pays `floor(2^32 (B - V + j u) / B)` for its - slot j), then one canonical unit-by-unit augmentation (fewest arcs, smallest arc keys, reverse - arcs allowed); tunnels in round order with index `j * H + i` (dead heads leave holes), weight 1, - `Tunnel.planned` = u, never held. `Tunnels(L, up_to=True)` chooses the smallest common count up - to L whose program carries the live part of the design (else the best, then the smallest), - skipping a count only by two proved bounds. No live head, or no whole unit per tunnel - (`insufficient_resolution`), installs a program without tunnels that keeps the roster. Origin - `EQUAL`, or `OPTIMIZED` with one input source; admission Lossless or Lossy; `design_demand` - (`None`: the offer; `float('inf')`: unlimited). Evaluators take an unlimited design when none is - given (Lossless) or the offered amount (Lossy: finite; without one, the design if finite). - `Global(prefer_headroom=True)` (False by default) switches the headroom objective on; every - `Global`, with or without tunnels, rejects a selection (`Global does not accept selection`, - first), and a selection's `priority` never enables a controller objective. Validation: `Global does not accept selection`, `Global support and tunnels are - mutually exclusive`, `prefer_headroom requires tunnels`, `T2 with several sources requires - origin=EQUAL`, `T2 LOSSY capacity requires finite offered`. + share over its N tunnels; in round order (round `j`, heads ascending: entry identifier + `j * H + i`) each tunnel runs CSPF on the unreserved capacity (the ledger's, this policy's own + holds released, minus this setup's earlier tunnels): the allowed links with at least + `max(request, min_unreserved_bandwidth)` units, then the member rule with + `parallel_edges=False`, then the canonical single path on static costs with the tie scores read + on that view, then the cost ceiling (`AbsoluteCost` inclusive; `CostStretch` relative to the + smallest static shortest cost over all roster heads, one pool baseline). A tunnel is `UP` and + holds its request on every link of its path, or down (`INSUFFICIENT_BANDWIDTH`, + `COST_CEILING_EXCEEDED`) with no path and weight 0. Traffic enters by round robin over the heads + and then over each head's up tunnels; a head with no up tunnel loses its share. +- **Exact cost stretch**: `CostStretch(factor)` is one exact reduced fraction: a `Fraction` as it + is, an integer as `n/1`, a float (Python or NumPy) as `Fraction(str(f))`, the decimal it prints, + so `CostStretch(1.2)` is exactly 6/5; a bool or another type raises `TypeError`, a NaN or an + infinity `ValueError`. `factor` returns the `Fraction`; equality, hash and `repr` follow it. A + ceiling compares `cost * d <= n * c0` exactly in 128 bits. A factor below 1 is refused where the + ceiling is used (`cost_ceiling CostStretch factor must be >= 1 (got /)`); a ceiling of + another type is `TypeError("cost_ceiling must be AbsoluteCost, CostStretch or None")` in + `DistributedTE` and `ksp` alike. +- **T2 tunnels**: `CentralizedTE(source_allocation=..., tunnel_count=TunnelCount(N))` models a + central controller: every live head (one reaching a destination over links with free capacity + of at least one unit; the others are dead, keep their roster position and lose their share) gets + N single-path tunnels with one common whole-unit planned bandwidth. The largest common size U + comes from quota flows, with the exact fluid optimum as a `Fraction`; a finite design lowers it + to the largest live design share per tunnel; then, among the count vectors at that size, the + smallest route-cost sum, then with `prefer_headroom=True` the smallest headroom penalty, then one + canonical unit-by-unit augmentation; tunnels in round order with identifier `j * H + i` (dead + heads leave holes), weight 1, `planned_bandwidth` u, never held. `TunnelCount(L, up_to=True)` + chooses the smallest common count up to L whose program carries the live part of the design. + No live head, or no whole unit per tunnel (`insufficient_resolution`), installs a program + without tunnels that keeps the roster. `OPTIMIZED` source allocation only with one input source. + With a `support`, T2 uses only the support's edges allowed by the policy's mask, in every step, + and gives what the same configuration gives with those edges composed into the mask. - **Forwarding programs**: `ForwardingProgram`, the routes and integer weights of one demand (tunnels `Tunnel`, split routes) with its injection (equal sources, or the captured source - weights of an optimized controller). CostOnly, Global, T1 and T2 produce one (`policy.program`, - `result.program`; the controllers decompose their solved flow into paths, also with one - source); `ForwardingProgram.from_routes(graph, sources, destinations, routes, *, placement, - weights, edge_weights, residual)` builds one from `Route(head, Path or PredDAG, *, weight=1)` - (order and duplicates kept, every split route its own split context). `Pinned(program)` - forwards one: replayed under the policy's Eligibility (a tunnel touching an excluded element - is `FAILED`, its head splits over the survivors) and, with `black_holes`, stale (the program - unchanged, traffic reaching a black hole dropped there, `BLACKHOLED`; `TunnelStatus`). Lossy - forwarding divides a shared edge by nested highest averages (heads, then entries), evaluates - the program as a whole, and recalculates edges that wait on each other in a cycle in rounds - (a period-2 or round-limit `ValueError`; an independent check before publication). Pinned has - no endpoint-count limit, rejects `placement`, `selection`, `origin` and `weights`, and keeps - one record per entry. + weights of an optimized controller). Every computing model produces one (`policy.program`, + `result.program`); `ForwardingProgram.from_routes(graph, sources, destinations, routes, *, + allocation, weight_basis, edge_weights, residual)` builds one from `RouteDefinition(head, route, + *, weight=1)` (order and duplicates kept, every split route its own split context), and + `ForwardingProgram.from_dag(graph, sources, destinations, dag, *, allocation, weight_basis, + edge_weights, residual)` builds one shared hop-by-hop program on a supplied DAG, its sources + pooled exactly as `ShortestPaths` pools them (one builder serves both). `Pinned(program)` + forwards one: replayed under the policy's Eligibility (a tunnel touching an excluded element is + `FAILED`, its head splits over the survivors) and, with `black_holes`, stale (the program + unchanged, traffic reaching a black hole dropped there, `BLACKHOLED`). Lossy forwarding divides a + shared edge by nested highest averages (heads, then entries), evaluates the program as a whole, + and recalculates edges that wait on each other in a cycle in rounds (a period-2 or round-limit + `ValueError`; an independent check before publication). - **Failure guarantee**: every public call either completes or raises and changes nothing, also when memory runs out, a worker thread fails or the Python result cannot be built. Two limits: running out of memory inside pybind11's own object construction (outside the library's checked - result construction) may crash the process; a `DagCache` passed to the call: a building cache - keeps the complete entries and statistics of the lookups that succeeded before the failure, and - a frozen cache keeps its entries and changes none of its statistics, except one miss when the - call raised `DagCacheMiss`. -- **Search**: `spf(graph, roots, SpfOptions(direction, selection, targets=None, residual=None, - min_residual=1, elig=None))` returns `SpfResult`. It searches from a root set (every root at - distance 0), `Direction.FORWARD` or `REVERSE`. Without targets it finds the distance of every reachable - node and returns `costs` (`UNREACHABLE` for the nodes not reached) and the full DAG of tight edges, - the edges on some shortest path. With targets it stops at the nearest targets' cost and - returns `target_cost` and the DAG of the walks between the roots and a nearest target (for a - reverse search, from the target to a root). With - `multipath=False` it returns the canonical single path: the walk of lowest cost, then (under - `PREFER_HIGHER_PRIORITY` only) of highest bottleneck, the smallest priority value along it, - then of fewest hops, then of lexicographically smallest edge-id sequence; with - `multi_edge=False` each node pair is first reduced to one parallel member. A - residual adds residual gating, which keeps only the edges with at least `min_residual` - residual units. Every search runs on one traversal core, with a bucket queue (nodes grouped by - distance) when the largest edge cost is at most 65,535 times the costs' greatest common - divisor, and a binary heap otherwise. -- **KSP and paths**: `ksp(graph, src, dst, KspOptions(k, selection, max_path_cost=None, - residual=None, elig=None))` returns the K shortest simple paths as `(cost, Path)` pairs. They - come in increasing (cost, -bottleneck under `PREFER_HIGHER_PRIORITY`, hops, edge ids) order, - truncated at `k` and at an inclusive `Absolute` or `Stretch` ceiling. The selection's - `multi_edge` lists parallel members as separate paths (`True`) or keeps one per node pair. - `resolve_to_paths(graph, dag, src, dst, split_parallel_edges=False, max_paths=None)` lists a - DAG's walks in (cost, hops, edge ids) order. -- **DagCache**: `DagCache(graph)` is keyed by the root set, the direction and the Eligibility. - Its values are the full static shortest-path DAGs (immutable, shared, valid after `clear()`), and - `stats()` reports `hits`, `misses`, `entries`, `bytes` and `live_values`. + result construction) may crash the process; a `ShortestPathCache` passed to the call: a building + cache keeps the complete entries and statistics of the lookups that succeeded before the + failure, and a frozen cache keeps its entries and changes none of its statistics, except one + miss when the call raised `ShortestPathCacheMiss`. +- **Search**: `spf(graph, roots, SpfOptions(direction, *, targets=None, tie_break=FEWER_HOPS, + multipath=True, parallel_edges=True, residual=None, min_residual=1, eligibility=None))` returns + `SpfResult`. It searches from a root set (every root at distance 0), `Direction.FORWARD` or + `REVERSE`. Without targets it returns `costs` (`UNREACHABLE` for the nodes not reached) and the + full DAG of tight edges; with targets it stops at the nearest targets' cost and returns + `target_cost` and the DAG of the walks between the roots and a nearest target. With + `multipath=False` it returns the canonical single path. A residual keeps only the edges with at + least `min_residual` residual units. Every search runs on one traversal core, with a bucket queue + when the largest edge cost is at most 65,535 times the costs' greatest common divisor, and a + binary heap otherwise. +- **KSP and paths**: `ksp(graph, source, destination, KspOptions(k, *, tie_break=FEWER_HOPS, + parallel_edges=True, cost_ceiling=None, residual=None, eligibility=None))` returns the K shortest + simple paths as `(cost, Path)` pairs in the single-path order, truncated at `k` and at an + inclusive ceiling. `resolve_to_paths(graph, dag, source, destination, split_parallel_edges=False, + max_paths=None)` lists a DAG's walks in (cost, hops, edge ids) order. +- **ShortestPathCache**: `ShortestPathCache(graph)` is keyed by the root set, the direction and + the Eligibility. Its values are the full static shortest-path DAGs (immutable, shared, valid + after `clear()`), and `stats()` reports `hits`, `misses`, `entries`, `bytes` and `live_values`. - **Building mode:** one writer; a miss searches and inserts. - **Frozen mode:** `freeze()` makes the cache read-only and shareable by every worker of an - evaluator. A frozen lookup miss raises `DagCacheMiss`, an exception the evaluators pass on - unchanged. `clear()` raises when frozen, and `thaw()` returns to building mode after the - caller has joined every reader. -- **Evaluators**: one options type, `QueryOptions(config, *, elig=None, cache=None, outputs=None, - design_demand=None, offered=None)` (`design_demand`: T1's design, required and finite, or T2's; - `offered`: the finite offer T1, T2 and Pinned Lossy capacity require, T2 taking a finite design - instead); - `capacity(graph, sources, destinations, opts)` (with `Global()` the exact maximum flow, its - marginal cost curve and its minimum cut), `batch_capacity(graph, pairs, opts, per_pair_elig=None, - workers=None)` (pair order; the lowest failing index raises; Pinned is rejected) and `sensitivity(graph, sources, - destinations, opts, workers=None)` (every candidate edge and its signed unthresholded loss in - units; a failed deletion fails the call). A supplied building cache needs `workers == 1`; a frozen - cache is shared by every worker. With `workers=None` the count is 1 when a cache is supplied, - otherwise `NGRAPH_CORE_BATCH_THREADS` and `NGRAPH_CORE_SENSITIVITY_THREADS` (an integer in [1, - 4096]; 1 when unset or invalid). + evaluator. A frozen lookup miss raises `ShortestPathCacheMiss`, an exception the evaluators + pass on unchanged. `clear()` raises when frozen, and `thaw()` returns to building mode after + the caller has joined every reader. +- **Evaluators**: one options type, `EvaluationOptions(config, *, eligibility=None, cache=None, + outputs=None, design_demand=None, offer=None)`, the design and the offer kept as given and + checked by the evaluator; `evaluate_demand(graph, sources, destinations, options)` (with + `CentralizedTE(source_allocation=OPTIMIZED)` the exact maximum flow, its marginal cost curve and + its minimum cut), `evaluate_pairs(graph, pairs, options, per_pair_eligibility=None, + workers=None)` (pair order; the lowest failing index raises; Pinned is rejected) and + `evaluate_edge_failures(graph, sources, destinations, options, workers=None)` (every candidate + edge and its signed `delivery_reduction`; a failed deletion fails the call). A finite `offer` is + accepted for every model under each admission it supports, in all three evaluators, and every + pair, baseline and failed network answers that same offer; an absent offer is the uncapped + Lossless question or the first-hop experiment of `ShortestPaths` Lossy. T1 always names a finite + design; T2 takes the offer as its design when none is given. A supplied building cache needs + `workers == 1`; a frozen cache is shared by every worker. With `workers=None` the count is 1 when + a cache is supplied, otherwise `NGRAPH_CORE_BATCH_THREADS` and + `NGRAPH_CORE_SENSITIVITY_THREADS` (an integer in [1, 4096]; 1 when unset or invalid). - **Flow core**: one exact integer minimum-cost flow solver (successive shortest paths with potentials, then Dinic phases for each cost level; each edge is its own arc, visited in - ascending EdgeId) serves Global routing, the `MAX_FLOW` kernel, T2's sizing (every cost taken as - 0: a maximum flow) and the evaluators (sensitivity - repairs the baseline's solution for each removed edge instead of solving again); the private - entry `_netgraph_core._place_global_units` returns the value, the marginal cost curve, the edge - flows, the minimum cut, the potentials and six operation counters. The solver numbers its - network in `int32`, so a solve raises `ValueError`, before it sizes anything, on a network of - more than `INT32_MAX - 2` nodes or with more than `2^30 - 1` edges, sources and destinations - together; graphs of every accepted size still build and can be searched. + ascending EdgeId) serves `CentralizedTE`, the `OPTIMIZED` allocation, T2's sizing (every cost + taken as 0: a maximum flow) and the evaluators (`evaluate_edge_failures` of an unrestricted + optimized `CentralizedTE` deletes only the edges its baseline loads, and when that baseline is a + maximum flow, with no offer or an offer above it, repairs the baseline's solution for each removed + edge instead of solving again; at an offer that binds it solves each deletion at the offer); the + private entry + `_netgraph_core._solve_min_cost_flow` returns the value, the marginal cost curve, the edge flows, + the minimum cut, the potentials and six operation counters. The solver numbers its network in + `int32`, so a solve raises `ValueError`, before it sizes anything, on a network of more than + `INT32_MAX - 2` nodes or with more than `2^30 - 1` edges, sources and destinations together. +- **Zero-capacity links stay in routing**: `spf`, `ksp`, the cached supports, the `ShortestPaths` + routes, every roster and the stretch baselines keep edges below one unit of capacity; only a + supplied residual (or an `Eligibility`) filters. Without a residual, `HIGHER_HEADROOM` reads 1 on + an edge of positive capacity and 0 on an edge of capacity 0. `EQUAL` keeps a zero-capacity + member and its round-robin share; `WEIGHTED` gives it weight 0 and drops a branch left without a + member, without routing around it; `OPTIMIZED` keeps it and never bypasses it. - **C++ headers** (under `netgraph/core/`): `types.hpp`, `graph.hpp` (`Graph`, `to_units`, - `as_float`; it includes `eligibility.hpp`), `eligibility.hpp`, `options.hpp` (the selection - axes, `FlowPlacement`, `Admission`, `Origin`, `WeightBasis`), `pred_dag.hpp`, `program.hpp` - (`ForwardingProgram`, `Tunnel`, `TunnelStatus`, `Route`, `RouteOptions`), `flow_record.hpp` (`FlowId`, - `Counter128`, `FlowRecord`), `flow_ledger.hpp`, `flow_policy.hpp`, `dag_cache.hpp`, + `as_float`; it includes `eligibility.hpp`), `eligibility.hpp`, `options.hpp` (`Direction`, + `AbsoluteCost`, `CostStretch`, `RouteTieBreak`, `RouteAllocation`, `WeightBasis`, `Admission`, + `SourceAllocation`), `route_structures.hpp`, `forwarding_program.hpp` (`ForwardingProgram`, + `Tunnel`, `TunnelStatus`, `RouteDefinition`, `RouteOptions`), `flow_record.hpp` (`FlowId`, + `Counter128`, `FlowRecord`), `flow_ledger.hpp`, `flow_policy.hpp`, `shortest_path_cache.hpp`, `evaluators.hpp` and `search.hpp` (`spf`, `ksp`, `resolve_to_paths` and their options; the queue choice `SpfQueue { Auto, Heap }` is a C++-only trailing parameter of `spf`); each compiles alone and includes no `detail/` header. - **Typing**: the package ships `__init__.pyi`, a type stub generated from the compiled module - (pybind11-stubgen with reviewed overrides: exact integer and array types, NumPy result - dtypes, optional values, and no constructor for the result classes the module refuses to - construct), next to `py.typed`. The stub carries the binding docstrings. `bash dev/stubs/run.sh - generate` regenerates it; `make stubs-check` checks it against a fresh generation, the wheel - and sdist contents, and typed client programs. -- **Error messages**: the error for a finite request after `float('inf')` within an epoch reads - `finite placement after infinite placement requires a new epoch` (it no longer cites a rule - number). -- **Zero-capacity links stay in routing**: `spf`, `ksp`, the `DagCache` supports, the CostOnly - routes, every roster and the `Stretch` baselines no longer skip edges below one unit of - capacity; only a supplied residual (or an `Eligibility`) filters. Without a residual, `HEADROOM` - reads 1 on an edge of positive capacity and 0 on an edge of capacity 0 (it read the capacity - before), and `HEADROOM` of an edge of capacity 0 is 0 everywhere. `EQUAL_BALANCED` keeps a - zero-capacity member and its round-robin share (Lossless then admits nothing on that branch; - Lossy drops the share there); `WEIGHTED` gives it weight 0 and drops a branch left without a - member, without routing around it; `MAX_FLOW` keeps it and never bypasses it. A `Pinned` bundle - keeps its zero-capacity edges. `sensitivity` lists every allowed edge (its loss can be - negative), and Global's `min_cut` lists every edge leaving the sources' residual closure, an - edge with nothing free included (the cut's value is unchanged). Results change on graphs with - zero-capacity edges: distances, DAGs, path lists, routes, rosters, records, amounts, drops, - sensitivity entries and cuts. -- **Pooled sources and the origin**: a demand with several sources is one demand. CostOnly with - `EQUAL_BALANCED` or `WEIGHTED` prepares one program per epoch at its first positive call (each - roster source's route on the residual at that call's entry; their union), splits the traffic of - all sources once at every router they share, and gives each source its part by highest averages - (records sum exactly to the totals); Lossless admits the largest equal total that fits with no - drop, so a source that cannot pass anything holds the demand at the number of sources before it. - CostOnly `MAX_FLOW` is now one controller on the union of the sources' routes, as Global is on the - whole graph. New `Origin` (`EQUAL`, `OPTIMIZED`): the controllers default to `OPTIMIZED` (the - previous behaviour) and with `EQUAL` deliver the largest total whose equal shares all fit (exact - binary search, then one solve from zero); split CostOnly is always `EQUAL`. `FlowPolicyConfig` - takes keywords only, `placement` and `selection` are optional (Global takes neither), `admission` - defaults to `LOSSLESS`, and `PathSelection` has defaults. `PlacementResult` drops `local_outcomes` - and gains the accounting of the demand (`requested`, `offered`, `admitted`, `delivered`, - `unadmitted`, `source_loss`, epoch `drops`, `by_source`, `total_cost`, `delivery_delta`, - `call_drops`, `call_source_loss`); its `drops` is now the epoch total per edge (this call's drops - are `call_drops`). New `Termination.NO_ACTIVE_WEIGHT` (the program has an entry with a path but no - head can use one: no member or entry of positive weight; a program whose tunnels are all down is - not this case); a controller whose maximum is 0 over existing routes ends `EXHAUSTED`, and a Lossy finite - request `COMPLETE`. `min_cut` is requested by `OutputOptions(min_cut=True)` (no longer by - `bottleneck`) and exists for optimized Global only; `cost_distribution` is `None` for equal Global - and before an epoch's first positive call. CostOnly with several sources rejects `multipath=False` - with `PREFER_HIGHER_PRIORITY`; only CostOnly accepts a `DagCache`. `FlowRecord.placement` is - removed (the kernel is the policy's configuration). `QueryOptions` replaces `CapacityOptions` and - `SensitivityOptions` (the same fields, one type for the three evaluators). Validation reports the - first defect in the order endpoints, ownership, enum values, the model table, the cache, the - routing's own fields, the endpoint counts; new error texts for the table, for every rejected offer - (`offer must be an integer in [0, 2^62) or permitted +inf`), for a finite request after an - infinite one, for counters at their limit and for the flow solver's size limits. + (pybind11-stubgen with reviewed overrides: exact integer and array types, NumPy result dtypes, + optional values, and no constructor for the result classes the module refuses to construct), + next to `py.typed`. The stub carries the binding docstrings. `bash dev/stubs/run.sh generate` + regenerates it; `make stubs-check` checks it against a fresh generation, the wheel and sdist + contents, and typed client programs. ### Removed @@ -270,14 +253,279 @@ engine. It replaces the 0.11 API. `kEpsilon`, `constants.hpp`, and the profiling facility (the Python accessors, the C++ scopes and `NGRAPH_CORE_PROFILE`). - The hand-written typing module `netgraph_core/_docs.py`, replaced by the generated stub. -- The growth model of `CapacityAware` (replaced by T1's tunnels): its fields `flow_count`, - `max_flow_count`, `min_flow_bandwidth`, `reoptimize` and `diminishing`, `DiminishingReturns`, - the per-call creation cap `MAX_FLOWS_PER_CALL` (C++ `kMaxFlowsPerCall`), the terminations - `LIMIT_FLOWS` and `LIMIT_DIMINISHING` and the per-source reduction of outcomes; CapacityAware - takes no placement and no `WEIGHTED` priority weights any more. +- The growth model of the earlier capacity-aware routing (replaced by T1's tunnels): its fields + `flow_count`, `max_flow_count`, `min_flow_bandwidth`, `reoptimize` and `diminishing`, + `DiminishingReturns`, the per-call creation cap `MAX_FLOWS_PER_CALL` (C++ `kMaxFlowsPerCall`), + the terminations `LIMIT_FLOWS` and `LIMIT_DIMINISHING` and the per-source reduction of outcomes. - The sensitivity entry status (`SensitivityStatus`, `SensitivityEntry.status` and `.reason`): - Successful entries were always `EVALUATED`; - `SensitivityEntry.loss` is now always an int, and a failed deletion fails the call. + successful entries were always `EVALUATED`; a failed deletion fails the call. +- The names of this release's earlier development snapshots. Nothing old survives as an alias, a + warning or an error that names a replacement; each name below is simply gone. Public names: + +| Name | Replacement | +| --- | --- | +| `PredDAG` | `PredecessorDAG` | +| `EdgeTieBreak` | `RouteTieBreak` | +| `EdgePriority` | removed: the score is part of the `RouteTieBreak` value (`HIGHER_CAPACITY`, `HIGHER_AVAILABLE_CAPACITY`, `HIGHER_HEADROOM`) | +| `PathSelection` | removed: `tie_break`, `multipath`, `parallel_edges` on `ShortestPaths`, `DistributedTE`, `SpfOptions`, `KspOptions` | +| `SpfOptions` | same name; `selection` replaced by `tie_break`, `multipath`, `parallel_edges` | +| `KspOptions` | same name; `selection` replaced by `tie_break`, `parallel_edges` (no multipath) | +| `Absolute` | `AbsoluteCost` | +| `Stretch` | `CostStretch` | +| `DagCache` | `ShortestPathCache` | +| `DagCacheMiss` | `ShortestPathCacheMiss` | +| `DagCacheStats` | `ShortestPathCacheStats` | +| `FlowPlacement` | `RouteAllocation` | +| `Origin` | `SourceAllocation` | +| `Tunnels` | `TunnelCount` | +| `CostOnly` | `ShortestPaths` | +| `CapacityAware` | `DistributedTE` | +| `Global` | `CentralizedTE` | +| `FlowPolicyConfig` | same name; only `routing` and `admission` remain | +| `ForwardingProgram` | same name; new `from_dag` | +| `Route` | `RouteDefinition` | +| `QueryOptions` | `EvaluationOptions` | +| `capacity` | `evaluate_demand` | +| `batch_capacity` | `evaluate_pairs` | +| `sensitivity` | `evaluate_edge_failures` | + + Members, parameters and enum values: + +| Kind | Name | Replacement | +| --- | --- | --- | +| parameter | `batch_capacity:opts` | `evaluate_pairs:options` | +| parameter | `batch_capacity:per_pair_elig` | `evaluate_pairs:per_pair_eligibility` | +| parameter | `capacity:opts` | `evaluate_demand:options` | +| parameter | `CapacityAware.__init__:max_path_cost` | `DistributedTE.__init__:cost_ceiling` | +| parameter | `CapacityAware.__init__:tunnels` | `DistributedTE.__init__:tunnel_count` | +| property | `CapacityAware.max_path_cost` | `DistributedTE.cost_ceiling` | +| property | `CapacityAware.tunnels` | `DistributedTE.tunnel_count` | +| field | `EdgePriority.RESIDUAL` | removed; `RouteTieBreak.HIGHER_AVAILABLE_CAPACITY` | +| field | `EdgeTieBreak.DETERMINISTIC` | `RouteTieBreak.FEWER_HOPS` | +| field | `EdgeTieBreak.PREFER_HIGHER_PRIORITY` | removed; `RouteTieBreak.HIGHER_CAPACITY`, `HIGHER_AVAILABLE_CAPACITY` or `HIGHER_HEADROOM`, by the old priority | +| parameter | `FlowLedger.__init__:residual` | `FlowLedger.__init__:service_baseline` | +| parameter | `FlowLedger.__init__:unreserved` | `FlowLedger.__init__:reservation_baseline` | +| method | `FlowLedger.allocated` | `FlowLedger.carried` | +| method | `FlowLedger.bottleneck` | `FlowLedger.saturated_boundary_edges` | +| parameter | `FlowLedger.bottleneck:elig` | `FlowLedger.saturated_boundary_edges:eligibility` | +| method | `FlowLedger.capacity_units` | `FlowLedger.edge_capacity_units` | +| parameter | `FlowLedger.reset:residual` | `FlowLedger.reset:service_baseline` | +| parameter | `FlowLedger.reset:unreserved` | `FlowLedger.reset:reservation_baseline` | +| field | `FlowPlacement.EQUAL_BALANCED` | `RouteAllocation.EQUAL` | +| field | `FlowPlacement.MAX_FLOW` | `RouteAllocation.OPTIMIZED` | +| parameter | `FlowPolicy.__init__:elig` | `FlowPolicy.__init__:eligibility` | +| parameter | `FlowPolicy.place:volume` | `FlowPolicy.place:offer` | +| method | `FlowPolicy.placed_demand` | `FlowPolicy.delivered` | +| parameter | `FlowPolicyConfig.__init__:origin` | `ShortestPaths(source_allocation=...)`, `CentralizedTE(source_allocation=...)` (required there); none on `DistributedTE` or `Pinned` | +| parameter | `FlowPolicyConfig.__init__:placement` | `ShortestPaths(allocation=...)` (`from_routes` and `from_dag` have their own `allocation`) | +| parameter | `FlowPolicyConfig.__init__:weights` | `ShortestPaths(weight_basis=...)` | +| property | `FlowPolicyConfig.origin` | `ShortestPaths.source_allocation`, `CentralizedTE.source_allocation` | +| property | `FlowPolicyConfig.placement` | `ShortestPaths.allocation` | +| property | `FlowPolicyConfig.weights` | `ShortestPaths.weight_basis` | +| property | `FlowRecord.bundle` | `FlowRecord.route` | +| property | `FlowRecord.drops` | `FlowRecord.edge_drops` | +| property | `FlowRecord.edges` | `FlowRecord.edge_flows` | +| property | `FlowRecord.entry` | `FlowRecord.entry_id` | +| property | `FlowRecord.owner` | `FlowRecord.policy_id` | +| field | `FlowRecord.reserved_edges` | `FlowRecord.edge_reservations` | +| property | `FlowRecord.route_cost` | `FlowRecord.min_route_cost` | +| parameter | `ForwardingProgram.from_routes:placement` | `ForwardingProgram.from_routes:allocation` | +| parameter | `ForwardingProgram.from_routes:weights` | `ForwardingProgram.from_routes:weight_basis` | +| parameter | `Global.__init__:tunnels` | `CentralizedTE.__init__:tunnel_count` | +| property | `Global.tunnels` | `CentralizedTE.tunnel_count` | +| parameter | `Graph.__init__:capacity_units` | `Graph.__init__:edge_capacity_units` | +| parameter | `Graph.__init__:cost` | `Graph.__init__:edge_costs` | +| parameter | `Graph.__init__:dst` | `Graph.__init__:edge_destinations` | +| parameter | `Graph.__init__:src` | `Graph.__init__:edge_sources` | +| method | `Graph.capacity_units` | `Graph.edge_capacity_units` | +| method | `Graph.cost` | `Graph.edge_costs` | +| method | `Graph.cost_gcd` | `Graph.edge_cost_gcd` | +| method | `Graph.edge_dst` | `Graph.edge_destinations` | +| method | `Graph.edge_src` | `Graph.edge_sources` | +| method | `Graph.in_adj_edge_index` | `Graph.incoming_edges` | +| method | `Graph.in_row_offsets` | `Graph.incoming_offsets` | +| method | `Graph.input_index` | `Graph.input_positions` | +| method | `Graph.max_cost` | `Graph.max_edge_cost` | +| method | `Graph.row_offsets` | `Graph.outgoing_offsets` | +| parameter | `ksp:dst` | `ksp:destination` | +| parameter | `ksp:opts` | `ksp:options` | +| parameter | `ksp:src` | `ksp:source` | +| parameter | `KspOptions.__init__:elig` | `KspOptions.__init__:eligibility` | +| parameter | `KspOptions.__init__:max_path_cost` | `KspOptions.__init__:cost_ceiling` | +| property | `KspOptions.elig` | `KspOptions.eligibility` | +| property | `KspOptions.max_path_cost` | `KspOptions.cost_ceiling` | +| parameter | `OutputOptions.__init__:bottleneck` | `OutputOptions.__init__:saturated_boundary_edges` | +| parameter | `OutputOptions.__init__:reservation_edge_flows` | `OutputOptions.__init__:edge_reservations` | +| property | `OutputOptions.bottleneck` | `OutputOptions.saturated_boundary_edges` | +| property | `OutputOptions.reservation_edge_flows` | `OutputOptions.edge_reservations` | +| method | `Path.dst` | `Path.destination` | +| method | `Path.src` | `Path.source` | +| parameter | `PathSelection.__init__:multi_edge` | `parallel_edges=` on `ShortestPaths`, `DistributedTE`, `SpfOptions`, `KspOptions` | +| property | `PathSelection.multi_edge` | the model's or the search options' `parallel_edges` | +| property | `PlacementResult.bottleneck` | `PlacementResult.saturated_boundary_edges` | +| property | `PlacementResult.call_drops` | `PlacementResult.call_edge_drops` | +| property | `PlacementResult.call_source_loss` | `PlacementResult.call_source_drops` | +| property | `PlacementResult.cost_distribution` | `PlacementResult.marginal_cost_curve` | +| property | `PlacementResult.drops` | `PlacementResult.edge_drops` | +| property | `PlacementResult.placed` | `PlacementResult.call_delivered` | +| property | `PlacementResult.remaining` | `PlacementResult.call_undelivered` | +| field | `PlacementResult.reservation_edge_flows` | `PlacementResult.edge_reservations` | +| property | `PlacementResult.source_loss` | `PlacementResult.source_drops` | +| parameter | `PredDAG.from_csr:offsets` | `PredecessorDAG.from_csr:parent_offsets` | +| parameter | `PredDAG.from_csr:via` | `PredecessorDAG.from_csr:via_edges` | +| parameter | `QueryOptions.__init__:elig` | `EvaluationOptions.__init__:eligibility` | +| parameter | `QueryOptions.__init__:offered` | `EvaluationOptions.__init__:offer` | +| property | `QueryOptions.elig` | `EvaluationOptions.eligibility` | +| property | `QueryOptions.offered` | `EvaluationOptions.offer` | +| parameter | `resolve_to_paths:dst` | `resolve_to_paths:destination` | +| parameter | `resolve_to_paths:src` | `resolve_to_paths:source` | +| parameter | `Route.__init__:bundle` | `RouteDefinition.__init__:route` | +| property | `Route.bundle` | `RouteDefinition.route` | +| parameter | `sensitivity:opts` | `evaluate_edge_failures:options` | +| property | `SensitivityEntry.loss` | `SensitivityEntry.delivery_reduction` | +| property | `SourceFlow.dropped` | `SourceFlow.total_edge_drops` | +| property | `SourceFlow.source_loss` | `SourceFlow.source_drops` | +| parameter | `spf:opts` | `spf:options` | +| parameter | `SpfOptions.__init__:elig` | `SpfOptions.__init__:eligibility` | +| property | `SpfOptions.elig` | `SpfOptions.eligibility` | +| property | `Tunnel.index` | `Tunnel.entry_id` | +| field | `Tunnel.planned` | `Tunnel.planned_bandwidth` | +| field | `Tunnel.requested` | `Tunnel.requested_bandwidth` | +| field | `Tunnel.reserved` | `Tunnel.reserved_bandwidth` | +| property | `Tunnel.route_cost` | `Tunnel.path_cost` | +| property | `TunnelFlow.dropped` | `TunnelFlow.total_edge_drops` | +| property | `TunnelFlow.index` | `TunnelFlow.entry_id` | +| field | `TunnelPlan.common_share` | `TunnelPlan.max_bandwidth_per_tunnel` | +| field | `TunnelPlan.count` | `TunnelPlan.tunnels_per_head` | +| field | `TunnelPlan.fluid_share` | `TunnelPlan.max_fractional_bandwidth_per_tunnel` | +| field | `TunnelPlan.forwarding_bound` | `TunnelPlan.max_lossless_offer` | +| field | `TunnelPlan.head_design` | `TunnelPlan.design_by_head` | +| field | `TunnelPlan.live_heads` | `TunnelPlan.heads_with_capacity` | +| field | `TunnelPlan.planned_per_tunnel` | `TunnelPlan.planned_bandwidth_per_tunnel` | +| field | `TunnelPlan.planned_total` | `TunnelPlan.total_planned_bandwidth` | +| field | `TunnelPlan.reserved_total` | `TunnelPlan.total_reserved_bandwidth` | +| field | `TunnelPlan.route_cost` | `TunnelPlan.total_tunnel_cost` | +| parameter | `Tunnels.__init__:count` | `TunnelCount.__init__:per_head` | +| property | `Tunnels.count` | `TunnelCount.per_head` | +| field | `TunnelStatus.COST_CEILING` | `TunnelStatus.COST_CEILING_EXCEEDED` | +| field | `TunnelStatus.NO_BANDWIDTH` | `TunnelStatus.INSUFFICIENT_BANDWIDTH` | +| parameter | `FlowPolicyConfig.__init__:edge_weights` | `ShortestPaths(edge_weights=...)` | +| property | `FlowPolicyConfig.edge_weights` | `ShortestPaths.edge_weights` | +| parameter | `FlowPolicyConfig.__init__:selection` | removed; its fields became `tie_break`, `multipath`, `parallel_edges` of the model | +| property | `FlowPolicyConfig.selection` | removed | +| parameter | `PathSelection.__init__:tie_break`, `priority` | one `tie_break: RouteTieBreak` | +| parameter | `PathSelection.__init__:multipath` (bool or None) | `multipath: bool = True` on `ShortestPaths` and `SpfOptions` only | +| parameter | `SpfOptions.__init__:selection`, `KspOptions.__init__:selection` | removed; `tie_break`, `parallel_edges` (and `multipath` for `SpfOptions`) as keywords | +| parameter | `Global.__init__:support` + `tunnels` together (rejected before) | `CentralizedTE(source_allocation=..., support=dag, tunnel_count=...)` allowed | +| parameter | `Global.__init__` without an origin | `CentralizedTE(source_allocation=...)` required | +| property | `Stretch.factor` (float) | `CostStretch.factor` (a `fractions.Fraction`) | +| parameter | `Stretch.__init__:factor` float | a `Fraction`, an integer or a float read as `Fraction(str(f))` | +| parameter | `QueryOptions.__init__:offered` (some models only) | `EvaluationOptions(offer=...)`, finite, every model | + + C++ declarations and headers (C++ enum values are the Python words in PascalCase): + +| Kind | C++ name | Replacement | +| --- | --- | --- | +| file | `include/netgraph/core/dag_cache.hpp` | `include/netgraph/core/shortest_path_cache.hpp` | +| file | `include/netgraph/core/pred_dag.hpp` | `include/netgraph/core/route_structures.hpp` | +| file | `include/netgraph/core/program.hpp` | `include/netgraph/core/forwarding_program.hpp` | +| type | `Absolute` | `AbsoluteCost` | +| function | `batch_capacity` | `evaluate_pairs` | +| parameter | `batch_capacity:g` | `evaluate_pairs:graph` | +| function | `capacity` | `evaluate_demand` | +| parameter | `capacity:g` | `evaluate_demand:graph` | +| type | `CapacityAware` | `DistributedTE` | +| field | `CapacityAware::max_path_cost` | `DistributedTE::cost_ceiling` | +| type | `CostOnly` | `ShortestPaths` | +| type | `DagCache` | `ShortestPathCache` | +| constructor_or_destructor | `DagCache::DagCache` | `ShortestPathCache::ShortestPathCache` | +| parameter | `DagCache::lookup:elig` | `ShortestPathCache::lookup:eligibility` | +| parameter | `DagCache::lookup:g` | `ShortestPathCache::lookup:graph` | +| constructor_or_destructor | `DagCache::~DagCache` | `ShortestPathCache::~ShortestPathCache` | +| type | `DagCacheMiss` | `ShortestPathCacheMiss` | +| constructor_or_destructor | `DagCacheMiss::DagCacheMiss` | `ShortestPathCacheMiss::ShortestPathCacheMiss` | +| enum-value | `EdgePriority::Residual` | removed with `EdgePriority` | +| type | `EdgeTieBreak` | `RouteTieBreak` | +| enum-value | `EdgeTieBreak::Deterministic` | `RouteTieBreak::FewerHops` | +| enum-value | `EdgeTieBreak::PreferHigherPriority` | removed; `RouteTieBreak::HigherCapacity`, `HigherAvailableCapacity` or `HigherHeadroom` | +| function | `Eligibility::edge_ok` | `Eligibility::allows_edge` | +| function | `Eligibility::node_ok` | `Eligibility::allows_node` | +| function | `FlowLedger::allocated` | `FlowLedger::carried` | +| function | `FlowLedger::bottleneck` | `FlowLedger::saturated_boundary_edges` | +| parameter | `FlowLedger::bottleneck:elig` | `FlowLedger::saturated_boundary_edges:eligibility` | +| function | `FlowLedger::capacity_units` | `FlowLedger::edge_capacity_units` | +| parameter | `FlowLedger::FlowLedger:residual` | `FlowLedger::FlowLedger:service_baseline` | +| parameter | `FlowLedger::reset:residual` | `FlowLedger::reset:service_baseline` | +| type | `FlowPlacement` | `RouteAllocation` | +| enum-value | `FlowPlacement::EqualBalanced` | `RouteAllocation::Equal` | +| enum-value | `FlowPlacement::MaxFlow` | `RouteAllocation::Optimized` | +| parameter | `FlowPolicy::FlowPolicy:elig` | `FlowPolicy::FlowPolicy:eligibility` | +| parameter | `FlowPolicy::place:volume` | `FlowPolicy::place:offer` | +| function | `FlowPolicy::placed_demand` | `FlowPolicy::delivered` | +| field | `FlowPolicyConfig::origin` | `ShortestPaths::source_allocation`, `CentralizedTE::source_allocation` | +| field | `FlowPolicyConfig::placement` | `ShortestPaths::allocation` (the option lives in the model) | +| field | `FlowPolicyConfig::weights` | `ShortestPaths::weight_basis` | +| field | `FlowRecord::bundle` | `FlowRecord::route` | +| field | `FlowRecord::drops` | `FlowRecord::edge_drops` | +| field | `FlowRecord::edges` | `FlowRecord::edge_flows` | +| field | `FlowRecord::entry` | `FlowRecord::entry_id` | +| field | `FlowRecord::owner` | `FlowRecord::policy_id` | +| field | `FlowRecord::route_cost` | `FlowRecord::min_route_cost` | +| parameter | `ForwardingProgram::from_routes:g` | `ForwardingProgram::from_routes:graph` | +| type | `Global` | `CentralizedTE` | +| function | `Graph::capacity_units` | `Graph::edge_capacity_units` | +| function | `Graph::cost` | `Graph::edge_costs` | +| function | `Graph::cost_gcd` | `Graph::edge_cost_gcd` | +| function | `Graph::edge_dst` | `Graph::edge_destinations` | +| function | `Graph::edge_src` | `Graph::edge_sources` | +| parameter | `Graph::Graph:capacity_units` | `Graph::Graph:edge_capacity_units` | +| parameter | `Graph::Graph:cost` | `Graph::Graph:edge_costs` | +| parameter | `Graph::Graph:dst` | `Graph::Graph:edge_destinations` | +| parameter | `Graph::Graph:src` | `Graph::Graph:edge_sources` | +| function | `Graph::in_adj_edge_index` | `Graph::incoming_edges` | +| function | `Graph::in_row_offsets` | `Graph::incoming_offsets` | +| function | `Graph::input_index` | `Graph::input_positions` | +| function | `Graph::max_cost` | `Graph::max_edge_cost` | +| function | `Graph::row_offsets` | `Graph::outgoing_offsets` | +| parameter | `ksp:g` | `ksp:graph` | +| field | `KspOptions::elig` | `KspOptions::eligibility` | +| field | `KspOptions::max_path_cost` | `KspOptions::cost_ceiling` | +| type | `Origin` | `SourceAllocation` | +| field | `OutputOptions::bottleneck` | `OutputOptions::saturated_boundary_edges` | +| function | `Path::dst` | `Path::destination` | +| parameter | `Path::Path:g` | `Path::Path:graph` | +| function | `Path::src` | `Path::source` | +| field | `PathSelection::multi_edge` | `parallel_edges` of the model or the search options (`PathSelection` removed) | +| field | `PlacementResult::bottleneck` | `PlacementResult::saturated_boundary_edges` | +| field | `PlacementResult::call_drops` | `PlacementResult::call_edge_drops` | +| field | `PlacementResult::call_source_loss` | `PlacementResult::call_source_drops` | +| field | `PlacementResult::cost_distribution` | `PlacementResult::marginal_cost_curve` | +| field | `PlacementResult::drops` | `PlacementResult::edge_drops` | +| field | `PlacementResult::placed` | `PlacementResult::call_delivered` | +| field | `PlacementResult::remaining` | `PlacementResult::call_undelivered` | +| field | `PlacementResult::source_loss` | `PlacementResult::source_drops` | +| type | `PredDAG` | `PredecessorDAG` | +| parameter | `PredDAG::from_csr:g` | `PredecessorDAG::from_csr:graph` | +| type | `QueryOptions` | `EvaluationOptions` | +| field | `QueryOptions::elig` | `EvaluationOptions::eligibility` | +| field | `QueryOptions::offered` | `EvaluationOptions::offer` | +| parameter | `resolve_to_paths:g` | `resolve_to_paths:graph` | +| type | `Route` | `RouteDefinition` | +| field | `Route::bundle` | `RouteDefinition::route` | +| field | `RouteOptions::placement` | `RouteOptions::allocation` | +| field | `RouteOptions::weights` | `RouteOptions::weight_basis` | +| function | `sensitivity` | `evaluate_edge_failures` | +| parameter | `sensitivity:g` | `evaluate_edge_failures:graph` | +| field | `SensitivityEntry::loss` | `SensitivityEntry::delivery_reduction` | +| field | `SourceFlow::dropped` | `SourceFlow::total_edge_drops` | +| field | `SourceFlow::source_loss` | `SourceFlow::source_drops` | +| parameter | `spf:g` | `spf:graph` | +| field | `SpfOptions::elig` | `SpfOptions::eligibility` | +| type | `Stretch` | `CostStretch` | +| field | `Tunnel::index` | `Tunnel::entry_id` | +| field | `Tunnel::route_cost` | `Tunnel::path_cost` | +| field | `TunnelFlow::dropped` | `TunnelFlow::total_edge_drops` | +| field | `TunnelFlow::index` | `TunnelFlow::entry_id` | ### Fixed diff --git a/CMakeLists.txt b/CMakeLists.txt index ef245e4..eabbbf2 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -68,18 +68,18 @@ endif() add_library(netgraph_core STATIC src/graph.cpp src/eligibility.cpp - src/flow_core.cpp - src/pred_dag.cpp + src/min_cost_flow.cpp + src/route_structures.cpp src/search.cpp - src/kernels.cpp + src/route_kernels.cpp src/flow_ledger.cpp - src/dag_cache.cpp + src/shortest_path_cache.cpp src/flow_policy.cpp src/evaluators.cpp - src/program.cpp + src/forwarding_program.cpp src/forwarding.cpp - src/tunnels_t1.cpp - src/tunnels_t2.cpp + src/distributed_te.cpp + src/centralized_te_tunnels.cpp ) target_include_directories(netgraph_core PUBLIC $ @@ -93,23 +93,23 @@ target_compile_features(netgraph_core PUBLIC cxx_std_20) # order the entry calls them; the shared helpers are headers there. pybind11_add_module(_netgraph_core bindings/python/module.cpp - bindings/python/axes.cpp + bindings/python/options.cpp bindings/python/units.cpp bindings/python/eligibility.cpp bindings/python/graph.cpp - bindings/python/recorder.cpp - bindings/python/pred_dag.cpp + bindings/python/flow_solver_hook.cpp + bindings/python/predecessor_dag.cpp bindings/python/path.cpp bindings/python/flow_record.cpp bindings/python/flow_ledger.cpp - bindings/python/program.cpp - bindings/python/routing.cpp - bindings/python/policy_config.cpp + bindings/python/forwarding_program.cpp + bindings/python/routing_models.cpp + bindings/python/flow_policy_config.cpp bindings/python/placement_result.cpp - bindings/python/dag_cache.cpp + bindings/python/shortest_path_cache.cpp bindings/python/flow_policy.cpp bindings/python/evaluators.cpp - bindings/python/paths.cpp + bindings/python/path_enumeration.cpp bindings/python/search.cpp bindings/python/hooks.cpp ) @@ -147,23 +147,25 @@ if(NETGRAPH_CORE_BUILD_TESTS) tests/cpp/graph_tests.cpp tests/cpp/graph_layout_tests.cpp tests/cpp/graph_concurrency_tests.cpp - tests/cpp/flow_core_tests.cpp - tests/cpp/flow_core_deletion_tests.cpp + tests/cpp/min_cost_flow_tests.cpp + tests/cpp/min_cost_flow_deletion_tests.cpp tests/cpp/eligibility_tests.cpp - tests/cpp/pred_dag_tests.cpp + tests/cpp/route_structures_tests.cpp tests/cpp/search_tests.cpp tests/cpp/ksp_tests.cpp - tests/cpp/dag_cache_tests.cpp - tests/cpp/kernels_tests.cpp - tests/cpp/cost_only_creation_tests.cpp + tests/cpp/shortest_path_cache_tests.cpp + tests/cpp/route_kernels_tests.cpp + tests/cpp/shortest_paths_creation_tests.cpp tests/cpp/flow_ledger_tests.cpp tests/cpp/flow_policy_fixture_tests.cpp tests/cpp/flow_policy_tests.cpp tests/cpp/zero_capacity_tests.cpp - tests/cpp/pooled_origin_tests.cpp + tests/cpp/pooled_source_allocation_tests.cpp tests/cpp/program_tests.cpp - tests/cpp/tunnels_t1_tests.cpp - tests/cpp/tunnels_t2_tests.cpp + tests/cpp/distributed_te_tests.cpp + tests/cpp/centralized_te_tunnels_tests.cpp + tests/cpp/contract_examples_tests.cpp + tests/cpp/public_names_tests.cpp ) target_compile_definitions(netgraph_core_tests PRIVATE NETGRAPH_CORE_TEST_DATA="${CMAKE_CURRENT_SOURCE_DIR}/tests/data") # Allocation-failure tests replace the global operator new: a separate executable. @@ -171,7 +173,7 @@ if(NETGRAPH_CORE_BUILD_TESTS) tests/cpp/fault_injection.cpp tests/cpp/flow_ledger_fault_tests.cpp tests/cpp/flow_policy_fault_tests.cpp - tests/cpp/flow_core_deletion_fault_tests.cpp + tests/cpp/min_cost_flow_deletion_fault_tests.cpp tests/cpp/search_fault_tests.cpp tests/cpp/graph_fault_tests.cpp ) @@ -317,7 +319,7 @@ endif() if(NETGRAPH_CORE_TSAN) message(STATUS "Enabling ThreadSanitizer (without the extra optimizations)") if(CMAKE_CXX_COMPILER_ID MATCHES "GNU|Clang") - # The data-race check of the evaluators' worker threads and the shared DagCache. A CMake + # The data-race check of the evaluators' worker threads and the shared ShortestPathCache. A CMake # list, as SAN_FLAGS above. A report makes the process exit non-zero (TSan's exit code 66, # or an abort under the halt_on_error=1 of dev/cpp-tests.sh), so ctest fails on any race. -O1 # as the TSan documentation advises (the Debug build type adds -g); the instrumented diff --git a/README.md b/README.md index 7d58592..fed3ce9 100644 --- a/README.md +++ b/README.md @@ -4,9 +4,10 @@ C++ graph engine for network flow analysis, traffic engineering simulation, and > **Unreleased, breaking.** This version replaces the 0.11 API (see the Unreleased section of > [CHANGELOG.md](CHANGELOG.md)): the graph on integer units, the minimum-cost flow core, the route -> structures (`PredDAG`, `Path`), the integer ledger `FlowLedger` with the placement kernels, the -> policy engine `FlowPolicy`, the searches (`spf`, `ksp`, `resolve_to_paths`), the `DagCache` in -> building and frozen modes, and the evaluators `capacity`, `batch_capacity` and `sensitivity`. +> structures (`PredecessorDAG`, `Path`), the integer ledger `FlowLedger` with the route allocations, the +> policy engine `FlowPolicy` with its four routing models, forwarding programs, the searches (`spf`, +> `ksp`, `resolve_to_paths`), the `ShortestPathCache` in building and frozen modes, and the evaluators +> `evaluate_demand`, `evaluate_pairs` and `evaluate_edge_failures`. > The previous API (0.11 and earlier) is in git history and on PyPI. ## Overview @@ -20,8 +21,8 @@ C++ graph engine for network flow analysis, traffic engineering simulation, and empty link does: searches, routes and rosters use it, an equal split still sends it a share (which is lost), a weighted split gives it weight 0. Only an explicit residual or an `Eligibility` removes an edge from a search. -- **Stable edge ids**: edges are numbered by sorting on `(src, cost, dst)`, ties kept in input - order; that number is the public `EdgeId`, and `input_index()` maps it back to the input position. +- **Stable edge ids**: edges are numbered by sorting on `(source, cost, destination)`, ties kept in input + order; that number is the public `EdgeId`, and `input_positions()` maps it back to the input position. - **One flow core**: an exact integer minimum-cost flow solver (the most traffic, sent as cheaply as possible). It returns the flow value, the marginal cost curve (the extra minimum total cost per additional delivered unit, as `(cost, units)` segments), the flow on every edge, a minimum @@ -33,183 +34,202 @@ C++ graph engine for network flow analysis, traffic engineering simulation, and ## Core Features The exact behaviour of every call (units and rounding, edge ids, which route a search returns, -how the kernels split traffic, outcomes and flags, failures, the cache and the evaluators) is +how the route allocations split traffic, outcomes and flags, failures, the cache and the evaluators) is specified in [docs/semantics.md](docs/semantics.md). ### Graph -- **`Graph(num_nodes, src, dst, capacity_units, cost, resolution)`**: immutable - directed multigraph that stores each node's out-edges and in-edges as arrays; parallel edges and - self-loops are allowed. Validation reports the first defect in a fixed order (the resolution, the unit - values, the shapes, zero or negative costs, the remaining bounds). Accessors (`capacity_units()`, `cost()`, `edge_src()`, `edge_dst()`, - `input_index()`, `row_offsets()`, `in_row_offsets()`, `in_adj_edge_index()`) return read-only - NumPy views that keep the graph alive. +- **`Graph(num_nodes, edge_sources, edge_destinations, edge_capacity_units, edge_costs, + resolution)`**: immutable directed multigraph that stores each node's out-edges and in-edges as + arrays; parallel edges and self-loops are allowed. Validation reports the first defect in a + fixed order (the resolution, the unit values, the shapes, zero or negative costs, the remaining + bounds). Accessors (`edge_capacity_units()`, `edge_costs()`, `edge_sources()`, + `edge_destinations()`, `input_positions()`, `outgoing_offsets()`, `incoming_offsets()`, + `incoming_edges()`) return read-only NumPy views that keep the graph alive. - **`Eligibility`**: which nodes and edges of one graph may be used (immutable), built by `graph.eligibility(excluded_nodes, excluded_edges)`; `Eligibility.intersect(a, b)` returns an operand when the result equals it, otherwise a new value. ### Route structures -- **`PredDAG`**: the route structure a search returns, a predecessor DAG (directed, no cycle): - for each node, the edges that reach it on the route and the node each comes from. `parents()` - and `via_edges()` list these entries, in ascending EdgeId within a node; `parent_offsets()` - (built on each call) says where each node's entries start. - `PredDAG.from_csr(graph, offsets, parents, via)` validates the shape, the ranges and endpoints, - duplicates, acyclicity and the canonical order before accepting a DAG. +- **`PredecessorDAG`**: the route structure a search returns, a predecessor DAG (directed, no + cycle): for each node, the edges that reach it on the route and the node each comes from. + `parents()` and `via_edges()` list these entries, in ascending EdgeId within a node; + `parent_offsets()` (built on each call) says where each node's entries start. + `PredecessorDAG.from_csr(graph, parent_offsets, parents, via_edges)` validates the shape, the + ranges and endpoints, duplicates, acyclicity and the canonical order before accepting a DAG. - **`Path(graph, hops)`**: a route given hop by hop, where a hop may hold several parallel edges - between the same two nodes; - `cost()` is the sum over hops of the minimum member cost and `to_dag()` gives the equivalent - `PredDAG`. -- **`PathSelection(tie_break=DETERMINISTIC, priority=CAPACITY, multipath=None, - multi_edge=True)`** with `EdgeTieBreak` and `EdgePriority`: the selection axes the searches and - policies read (`multipath=None` is the model's natural shape: the DAG of equal-cost walks for - searches and CostOnly, one path for a tunnel). - -### Ledger and kernels - -- **`FlowLedger(graph, residual=None, *, unreserved=None)`**: the integer ledger of one graph, - in two projections that are never added: the carried traffic (a service baseline `residual`; - `allocated()` is the exact sum of the records' edges and `residual()` the baseline minus it) - and the strict holds of T1 tunnels (a reservation baseline `unreserved`; `reserved()` is the - sum of the records' holds and `unreserved()` the baseline minus it). Holds never police - traffic. The records (`FlowRecord`: flow id, owner, endpoints, admission, program entry, - bundle, route cost, offered, delivered, per-edge allocation, drops and holds) are the flows - placed on it; `bottleneck(sources)` lists the full edges leaving the set of nodes the sources + between the same two nodes; `cost()` is the sum over hops of the minimum member cost, + `source()` and `destination()` its ends, and `to_dag()` gives the equivalent `PredecessorDAG`. +- **Route choice**: one tie rule, `RouteTieBreak` (`FEWER_HOPS`, the default, `HIGHER_CAPACITY`, + `HIGHER_AVAILABLE_CAPACITY`, `HIGHER_HEADROOM`), with `multipath` (every equal-cost route, or the + one canonical path) and `parallel_edges` (every parallel link, or one per node pair). Cost always + comes first; the tie rule only orders equal-cost choices. + +### Ledger and route allocations + +- **`FlowLedger(graph, service_baseline=None, *, reservation_baseline=None)`**: the integer ledger + of one graph, in two projections that are never added: the carried traffic (`carried()` is the + exact sum of the records' edge flows and `residual()` the service baseline minus it) and the + strict holds of T1 tunnels (`reserved()` is the sum of the records' holds and `unreserved()` the + reservation baseline minus it). Holds never police traffic. The records (`FlowRecord`: flow id, + `policy_id`, endpoints, admission, `entry_id`, `route`, `min_route_cost`, offered, delivered, + `edge_flows`, `edge_drops` and `edge_reservations`) are the flows placed on it; + `saturated_boundary_edges(sources)` lists the full edges leaving the set of nodes the sources can still reach. `reset()` and `copy()` are rejected while a policy is bound to the ledger. - Policies place, hold and remove; `reset(residual=None, *, unreserved=None)` replaces an - unbound ledger's baselines and clears its records. -- **Kernels**, the rules that spread one flow over its route (`FlowPlacement`: `MAX_FLOW`, - `WEIGHTED`, `EQUAL_BALANCED`; `Admission`: `LOSSLESS`, `LOSSY`): `MAX_FLOW` re-solves the flow - with the flow core on its DAG, over the free capacity plus its own allocation; `WEIGHTED` splits - at every node in proportion to integer weights frozen when the route is prepared, from a + Policies place, hold and remove; `reset(service_baseline=None, *, reservation_baseline=None)` + replaces an unbound ledger's baselines and clears its records. +- **Route allocations**, the rules that spread one flow over its route (`RouteAllocation`: `OPTIMIZED`, + `WEIGHTED`, `EQUAL`; `Admission`: `LOSSLESS`, `LOSSY`): `OPTIMIZED` re-solves the flow with the + flow core on its route, over the free capacity plus its own allocation; `WEIGHTED` splits at + every node in proportion to integer weights frozen when the route is prepared, from a `WeightBasis` (`CAPACITY`, `EXPLICIT`, `RESIDUAL_SNAPSHOT`) (highest averages: whole-unit shares - as close to proportional as possible); `EQUAL_BALANCED` splits equally (round - robin); `LOSSY` forwards hop by hop and records what it drops. + as close to proportional as possible); `EQUAL` splits equally (round robin); `LOSSY` forwards hop + by hop and records what it drops. ### Policies -- **`FlowPolicy(ledger, sources, destinations, config, elig=None, cache=None)`**: the placement - engine for one demand, bound to its ledger. `FlowPolicyConfig(*, routing, placement=None, - admission=LOSSLESS, selection=None, origin=None, weights=None, edge_weights=None)` chooses the - routing, its kernel (required for CostOnly, taken by no other routing), the admission, the path - selection (default `PathSelection()`), the weight basis of CostOnly `WEIGHTED` and the origin: `EQUAL` (every source sends the same round-robin share) or - `OPTIMIZED` (a controller chooses how much enters where; the default of the controllers). The - routing is one of: - - `CostOnly()`: static shortest paths, as routers forward with an IGP such as OSPF; the - sources of one demand are pooled (where their routes meet, a router splits their traffic - once); with `MAX_FLOW`, a controller restricted to those paths; - - `CapacityAware(Tunnels(N), max_path_cost=None, min_unreserved_bandwidth=0)` (T1): every - head sets up its own N strict-bandwidth tunnels, as RSVP-TE head ends do, with no controller: - a design volume is split equally over the heads and their tunnels, each tunnel runs CSPF (the - shortest path among the links with enough unreserved bandwidth, within an `Absolute` or - `Stretch` cost ceiling) and either comes up holding its request on every link or stays down - (`NO_BANDWIDTH`, `COST_CEILING`); traffic then enters equally at the heads and splits equally - over their up tunnels; - - `Global(support=None)`: an ideal controller: the minimum-cost flow from all the policy's +- **`FlowPolicy(ledger, sources, destinations, config, eligibility=None, cache=None)`**: the + placement engine for one demand, bound to its ledger. `FlowPolicyConfig(*, routing, + admission=LOSSLESS)` holds the routing model and the admission; every other option belongs to + the model that reads it. A model's source allocation is `EQUAL` (every source sends the same + round-robin share) or `OPTIMIZED` (a controller chooses how much enters where). The routing is + one of: + - `ShortestPaths(*, allocation=EQUAL, source_allocation=None, weight_basis=None, + edge_weights=None, tie_break=FEWER_HOPS, multipath=True, parallel_edges=True)`: static + shortest paths, as routers forward with an IGP such as OSPF. `ShortestPaths()` is ECMP; + `allocation=WEIGHTED` is WCMP with its `weight_basis` and `edge_weights`; the sources of one + demand are pooled (where their routes meet, a router splits their traffic once); + `allocation=OPTIMIZED` is a controller restricted to those paths; + - `DistributedTE(TunnelCount(N), *, cost_ceiling=None, min_unreserved_bandwidth=0, + tie_break=FEWER_HOPS, parallel_edges=True)` (T1): every head sets up its own N + strict-bandwidth tunnels, as RSVP-TE head ends do, with no controller: a design volume is split + equally over the heads and their tunnels, each tunnel runs CSPF (the shortest path among the + links with enough unreserved bandwidth, within an `AbsoluteCost` or `CostStretch` cost ceiling) + and either comes up holding its request on every link or stays down + (`INSUFFICIENT_BANDWIDTH`, `COST_CEILING_EXCEEDED`); traffic then enters equally at the heads + and splits equally over their up tunnels; + - `CentralizedTE(*, source_allocation, support=None, tunnel_count=None, prefer_headroom=False)`: + without a tunnel count, an ideal controller: the minimum-cost flow from all the policy's sources to its destinations, on the free capacity plus its own allocation, optionally only - over the edges of a support DAG; - - `Global(tunnels=Tunnels(N))` (T2): a central controller (as a PCE) lays out, for every head - that reaches a destination over free capacity, N single-path tunnels with one common - whole-unit planned bandwidth: as large as possible, then (for a finite design) no larger than - needed, then the cheapest routes, then with `prefer_headroom=True` the routes that leave the most - spare capacity, then one fixed tie; `Tunnels(L, up_to=True)` chooses the smallest common count - up to L that carries the design. The planned bandwidth is never held. NetGraph's TE presets - map onto it: `TE_ECMP_16_LSP` is `Global(tunnels=Tunnels(16))` and `TE_ECMP_UP_TO_256_LSP` - `Global(tunnels=Tunnels(256, up_to=True))`, both with `prefer_headroom=True`; - - `Pinned(program, black_holes=None)`: forwarding over a given `ForwardingProgram`, computing + over the edges of a support DAG. With `tunnel_count=TunnelCount(N)` (T2), a central controller + (as a PCE) lays out, for every head that reaches a destination over free capacity, N + single-path tunnels with one common whole-unit planned bandwidth: as large as possible, then + (for a finite design) no larger than needed, then the cheapest routes, then with + `prefer_headroom=True` the routes that leave the most spare capacity, then one fixed tie; + `TunnelCount(L, up_to=True)` chooses the smallest common count up to L that carries the + design; a `support` restricts the tunnels to its edges. The planned bandwidth is never held. + The source allocation is always stated. NetGraph's TE presets map onto it: `TE_ECMP_16_LSP` is + `CentralizedTE(source_allocation=EQUAL, tunnel_count=TunnelCount(16))` and + `TE_ECMP_UP_TO_256_LSP` the same with `TunnelCount(256, up_to=True)`, both with + `prefer_headroom=True`; + - `Pinned(program, *, black_holes=None)`: forwarding over a given `ForwardingProgram`, computing nothing; the policy's Eligibility fails the tunnels it touches (their heads split over the survivors) and `black_holes` makes failed elements swallow what reaches them (stale forwarding). -- **`ForwardingProgram`**: the routes and integer weights of one demand. CostOnly, Global, T1 - and T2 produce one (`policy.program`, `result.program`); `ForwardingProgram.from_routes(graph, - sources, destinations, routes)` builds one from `Route(head, Path or PredDAG, weight=1)` - entries. -- **`place(volume, outputs=None)`** adds `volume` to the policy's request as one all-or-nothing - step (CostOnly forwards over the program it prepares once per epoch; the controllers re-solve - what they already deliver plus this request; T1 and T2 have no `place`) and returns - a `PlacementResult`: this call's `placed`, `remaining`, `delivery_delta`, `call_drops`, - `call_source_loss`, `termination` and flags; the demand's `requested`, `offered`, `admitted`, - `delivered`, `unadmitted`, `source_loss`, `drops`, per-source rows `by_source`, `total_cost` - (controllers), `cost_distribution` (optimized Global), the `program`, the tunnel models' `plan` and - `reservations_changed`, and per-tunnel rows `by_tunnel`; and, when requested through - `OutputOptions`, `edge_flows`, `residual`, `bottleneck`, `reservation_edge_flows` and `min_cut` - (optimized Global). - `evaluate(offer, design_demand=None)` computes a whole new offer without publishing it, - `replace(offer, design_demand=None)` publishes it (T1 sets its tunnels up and T2 lays them out - for the design, `None` meaning the offer), `forward(offer, black_holes=None)` sends it over the - installed program (T1 keeps its tunnels and holds, T2 its tunnels and plan); `remove()` reverts the policy's flows and holds; `records()`, `record(flow_id)`, `placed_demand()` and `program` read its - state. +- **`ForwardingProgram`**: the routes and integer weights of one demand. Every computing model + produces one (`policy.program`, `result.program`); `ForwardingProgram.from_routes(graph, + sources, destinations, routes)` builds one from `RouteDefinition(head, route, weight=1)` entries + (a `Path` is a tunnel, a `PredecessorDAG` a split route of its own), and + `ForwardingProgram.from_dag(graph, sources, destinations, dag)` builds one shared hop-by-hop + program on a DAG whose sources are pooled exactly as `ShortestPaths` pools them. +- **`place(offer, outputs=None)`** adds `offer` to the policy's request as one all-or-nothing step + (`ShortestPaths` forwards over the program it prepares once per epoch; the controllers re-solve + what they already deliver plus this request; T1 and T2 have no `place`) and returns a + `PlacementResult`: this call's `call_delivered`, `call_undelivered`, `delivery_delta`, + `call_edge_drops`, `call_source_drops`, `termination` and flags; the demand's `requested`, + `offered`, `admitted`, `delivered`, `unadmitted`, `source_drops`, `edge_drops`, per-source rows + `by_source`, `total_cost` (controllers), `marginal_cost_curve` (optimized `CentralizedTE`), the + `program`, the tunnel models' `plan`, and per-tunnel rows `by_tunnel`; and, when requested + through `OutputOptions`, `edge_flows`, `residual`, `saturated_boundary_edges`, + `edge_reservations` and `min_cut` (optimized `CentralizedTE`). `evaluate(offer, *, + design_demand=None)` computes a whole new offer without publishing it, `replace(offer, *, + design_demand=None)` publishes it (T1 sets its tunnels up and T2 lays them out for the design, + `None` meaning the offer), `forward(offer, *, black_holes=None)` sends it over the installed + program (T1 keeps its tunnels and holds, T2 its tunnels and plan); `remove()` reverts the + policy's flows and holds; `records()`, `record(flow_id)`, `delivered()`, `config` and `program` + read its state. - **Failure guarantee**: every public call either completes or raises one exception and leaves every ledger, policy, cache and scratch buffer as it was, whatever fails (validation, memory, a worker thread, building the Python result). Two limits: pybind11 does not check every - allocation when it constructs a bound object from Python or converts a returned value into a - new Python object outside the library's checked result construction, so running out of memory - exactly there may crash the process (Core state stays unchanged); and a `DagCache` passed to the - call: a building cache keeps the complete entries and statistics of the lookups that succeeded - before the failure, and a frozen cache keeps its entries and statistics unchanged, except that a - call raising `DagCacheMiss` counts one miss + allocation when it constructs a bound object from Python, parses the arguments of a call that + passes keywords, or converts a returned value into a new Python object outside the library's + checked result construction, so running out of memory + exactly there may crash the process (Core state stays unchanged); and a `ShortestPathCache` + passed to the call: a building cache keeps the complete entries and statistics of the lookups + that succeeded before the failure, and a frozen cache keeps its entries and statistics + unchanged, except that a call raising `ShortestPathCacheMiss` counts one miss ([docs/semantics.md](docs/semantics.md#8-failures-threads-and-lifetimes)). ### Search -`spf(graph, roots, SpfOptions(direction, selection, targets=None, residual=None, -min_residual=1, elig=None))` searches from a root set, forward or reverse. +`spf(graph, roots, SpfOptions(direction, *, targets=None, tie_break=FEWER_HOPS, multipath=True, +parallel_edges=True, residual=None, min_residual=1, eligibility=None))` searches from a root set, +forward or reverse. Edges of capacity 0 are searched like any other; only a supplied residual +filters by capacity. - **Without targets:** it returns `costs` (`UNREACHABLE` for nodes not reached) and the full - DAG of tight edges, the edges that lie on some shortest path (one per node pair with - `multi_edge=False`). + DAG of tight edges, the edges that lie on some shortest path. - **With targets:** it stops at the nearest targets and returns `target_cost` and the DAG of the walks between the roots and the nearest targets (for a reverse search, from a target to a root). - **With `multipath=False`:** it returns the canonical single path: the walk of lowest cost; - among those, under `PREFER_HIGHER_PRIORITY` only, the one of highest bottleneck (the smallest - priority value along the walk); then the fewest hops; then the lexicographically smallest - sequence of EdgeIds ([docs/semantics.md](docs/semantics.md#the-canonical-single-path)). -- **With `multi_edge=False`** (any search): each node pair is first reduced to one parallel - member (lowest cost, then under `PREFER_HIGHER_PRIORITY` the highest priority, then the lowest - EdgeId). - -`ksp(graph, src, dst, KspOptions(k, selection, max_path_cost=None, residual=None, elig=None))` -returns the K shortest simple paths as `(cost, Path)` pairs, in the order of -[docs/semantics.md](docs/semantics.md#k-shortest-paths) and up to -an inclusive cost ceiling. `resolve_to_paths(graph, dag, src, dst, split_parallel_edges=False, -max_paths=None)` lists a DAG's walks as `Path` values. - -### DagCache - -`DagCache(graph)` keeps the static shortest-path DAGs (from costs and the Eligibility, not -traffic) that policies build, keyed by the root set, the direction and the Eligibility. Values + among those, under a `HIGHER_*` tie rule, the one of highest bottleneck (the smallest score + along the walk); then the fewest hops; then the lexicographically smallest sequence of EdgeIds + ([docs/semantics.md](docs/semantics.md#the-canonical-single-path)). +- **With `parallel_edges=False`:** each node pair is first reduced to one parallel member (lowest + cost, then under a `HIGHER_*` tie rule the highest score, then the lowest EdgeId). +- A `HIGHER_*` tie rule with `multipath=True` and `parallel_edges=True` has nothing to choose and + is rejected (`spf tie_break requires multipath=False or parallel_edges=False`). + +`ksp(graph, source, destination, KspOptions(k, *, tie_break=FEWER_HOPS, parallel_edges=True, +cost_ceiling=None, residual=None, eligibility=None))` returns the K shortest simple paths as +`(cost, Path)` pairs, in the order of [docs/semantics.md](docs/semantics.md#k-shortest-paths) and +up to an inclusive cost ceiling (`AbsoluteCost(c)`, or `CostStretch(f)` with `f` an exact +fraction: a float means the decimal it prints, so `CostStretch(1.2)` is exactly 6/5). +`resolve_to_paths(graph, dag, source, destination, split_parallel_edges=False, max_paths=None)` +lists a DAG's walks as `Path` values. + +### ShortestPathCache + +`ShortestPathCache(graph)` keeps the static shortest-path DAGs (from costs and the Eligibility, +not traffic) that policies build, keyed by the root set, the direction and the Eligibility. Values are immutable and shared, and `stats()` reports hits, misses, entries, retained bytes and live values. - **Building mode (new caches):** one writer; a miss searches and inserts. An evaluator given a building cache runs on one worker (an explicit `workers` above 1 is rejected). - **Frozen mode (`freeze()`):** read-only and shared by every worker of an evaluator (pass - `workers` explicitly; with a cache the default is 1); a miss raises `DagCacheMiss`. `thaw()` - returns to building mode once every reader has finished. + `workers` explicitly; with a cache the default is 1); a miss raises `ShortestPathCacheMiss`. + `thaw()` returns to building mode once every reader has finished. ### Evaluators -All three take one options type, `QueryOptions(config, *, elig=None, cache=None, -outputs=None, design_demand=None, offered=None)`. `capacity(graph, sources, destinations, opts)` is `place(+inf)` of a policy on a fresh ledger -(a Lossy Pinned policy places the finite `offered` instead; T1 evaluates the tunnels it sets up -for the required finite `design_demand`, forwarding `+inf` or, Lossy, the finite `offered`; T2 -the same for its layout, an absent design meaning unlimited when Lossless); `Global()` gives the -exact maximum flow with its marginal cost curve, and its minimum cut with -`outputs=OutputOptions(min_cut=True)`. `batch_capacity(graph, pairs, -opts, per_pair_elig=None, workers=None)` evaluates pairs in pair order (the lowest failing -index raises; Pinned, whose program fixes its endpoints, is rejected). `sensitivity(graph, sources, destinations, opts, workers=None)` reports, for every candidate edge, the signed loss in placed units when the -edge is removed. With `workers=None` the worker count is 1 when a cache is supplied, otherwise -it comes from `NGRAPH_CORE_BATCH_THREADS` and `NGRAPH_CORE_SENSITIVITY_THREADS`. +All three take one options type, `EvaluationOptions(config, *, eligibility=None, cache=None, +outputs=None, design_demand=None, offer=None)`. `evaluate_demand(graph, sources, destinations, +options)` evaluates a fresh policy on a fresh ledger at full capacity: with no `offer`, the +uncapped question (Lossless) or, for `ShortestPaths` `EQUAL`/`WEIGHTED` Lossy, the first-hop +experiment; with a finite `offer`, that offer, for every model (T1 always names a finite +`design_demand`; T2 takes the offer as its design when none is given). +`CentralizedTE(source_allocation=OPTIMIZED)` gives the exact maximum flow with its marginal cost +curve, and its minimum cut with `outputs=OutputOptions(min_cut=True)`. `evaluate_pairs(graph, +pairs, options, per_pair_eligibility=None, workers=None)` evaluates independent pairs in pair order +(the lowest failing index raises; Pinned, whose program fixes its endpoints, is rejected). +`evaluate_edge_failures(graph, sources, destinations, options, workers=None)` reports, for every +candidate edge, the signed `delivery_reduction` when the edge is removed, at the same offer and +design. With `workers=None` the worker count is 1 when a cache is supplied, otherwise it comes +from `NGRAPH_CORE_BATCH_THREADS` and `NGRAPH_CORE_SENSITIVITY_THREADS`. ### Flow core -One native integer minimum-cost flow core serves Global routing, the MAX_FLOW kernel, the -evaluators and T2's sizing (there with every cost taken as 0: a maximum flow): the largest flow +One native integer minimum-cost flow core serves `CentralizedTE` routing, the `OPTIMIZED` allocation, +the evaluators and T2's sizing (there with every cost taken as 0: a maximum flow): the largest flow up to a cap from a source set to a destination set over the eligible edges, sent at the lowest -total cost, starting from zero flow. For sensitivity it repairs the -baseline's solution for each removed edge instead of solving again. Its private Python entry -`_netgraph_core._place_global_units(graph, view, sources, destinations, elig, cap)` returns the -payload `{placed, cost_distribution, edge_flows, min_cut, potentials, counters}` for the -flow checks of the test suites. +total cost, starting from zero flow. For `evaluate_edge_failures` of unrestricted `CentralizedTE` +with `OPTIMIZED` source allocation it repairs the baseline's solution for each removed edge instead +of solving again, when that baseline is a maximum flow (no offer, or an offer above it); at an +offer that binds each deletion is solved at the offer. Its private Python entry +`_netgraph_core._solve_min_cost_flow(graph, view, sources, destinations, eligibility, cap)` returns +the payload `{flow_value, marginal_cost_curve, edge_flows, min_cut, potentials, counters}` for the flow +checks of the test suites. ## Quick Start @@ -221,24 +241,25 @@ q = 2.0**-12 caps = ngc.to_units([10.0, 10.0, 5.0, 5.0], q) graph = ngc.Graph(4, [0, 1, 0, 2], [1, 3, 2, 3], caps, [1, 1, 2, 2], q) -config = ngc.FlowPolicyConfig(routing=ngc.Global()) -result = ngc.capacity(graph, 0, 3, ngc.QueryOptions(config)) -print(ngc.as_float(result.placed, q)) # 15.0 -print(result.cost_distribution) # [(2, 40960), (4, 20480)] +config = ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.OPTIMIZED)) +result = ngc.evaluate_demand(graph, 0, 3, ngc.EvaluationOptions(config)) +print(ngc.as_float(result.call_delivered, q)) # 15.0 +print(result.marginal_cost_curve) # [(2, 40960), (4, 20480)] print(result.total_cost) # 163840 # T1: two tunnels sized for 12; the second finds no path with 6 units unreserved. -t1 = ngc.FlowPolicyConfig(routing=ngc.CapacityAware(ngc.Tunnels(2)), admission=ngc.Admission.LOSSY) +t1 = ngc.FlowPolicyConfig(routing=ngc.DistributedTE(ngc.TunnelCount(2)), admission=ngc.Admission.LOSSY) policy = ngc.FlowPolicy(ngc.FlowLedger(graph), 0, 3, t1) r = policy.replace(ngc.to_units(12.0, q), design_demand=ngc.to_units(12.0, q)) -print([t.status.name for t in r.program.tunnels]) # ['UP', 'NO_BANDWIDTH'] -print(ngc.as_float(r.placed, q)) # 10.0 -print(ngc.as_float(r.plan.reserved_total, q)) # 6.0 +print([t.status.name for t in r.program.tunnels]) # ['UP', 'INSUFFICIENT_BANDWIDTH'] +print(ngc.as_float(r.call_delivered, q)) # 10.0 +print(ngc.as_float(r.plan.total_reserved_bandwidth, q)) # 6.0 # T2: 16 tunnels of one common size, 11 on the 10-unit path and 5 on the 5-unit one. -te16 = ngc.FlowPolicyConfig(routing=ngc.Global(tunnels=ngc.Tunnels(16), prefer_headroom=True)) +te16 = ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.EQUAL, + tunnel_count=ngc.TunnelCount(16), prefer_headroom=True)) r = ngc.FlowPolicy(ngc.FlowLedger(graph), 0, 3, te16).replace(float("inf")) -print(r.plan.fluid_share, r.plan.common_share, r.placed) # 40960/11 3723 59575 +print(r.plan.max_fractional_bandwidth_per_tunnel, r.plan.max_bandwidth_per_tunnel, r.call_delivered) # 40960/11 3723 59575 ``` ## Installation @@ -307,8 +328,8 @@ tests that need them when they are absent. | Variable | Effect | | --- | --- | -| `NGRAPH_CORE_BATCH_THREADS` | Default worker count of `batch_capacity` (an integer in [1, 4096]; 1 when unset or invalid; not read when a cache is supplied, which defaults to 1; an explicit `workers` wins). | -| `NGRAPH_CORE_SENSITIVITY_THREADS` | Default worker count of `sensitivity` (as above). | +| `NGRAPH_CORE_BATCH_THREADS` | Default worker count of `evaluate_pairs` (an integer in [1, 4096]; 1 when unset or invalid; not read when a cache is supplied, which defaults to 1; an explicit `workers` wins). | +| `NGRAPH_CORE_SENSITIVITY_THREADS` | Default worker count of `evaluate_edge_failures` (as above). | ## Requirements diff --git a/bindings/python/axes.cpp b/bindings/python/axes.cpp deleted file mode 100644 index 3a228f5..0000000 --- a/bindings/python/axes.cpp +++ /dev/null @@ -1,119 +0,0 @@ -// The enumerations of the placement, origin and selection axes, and PathSelection. -#include -#include - -#include - -#include "netgraph/core/options.hpp" - -#include "registration.hpp" - -namespace py = pybind11; - -namespace netgraph::core::bindings { - -void register_axes(py::module_& m) { - py::enum_(m, "FlowPlacement", - "How traffic spreads over the routes (CostOnly's kernel; the interior split of supplied PredDAG\n" - "routes, EQUAL_BALANCED or WEIGHTED).\n" - "MAX_FLOW: the minimum-cost flow core over the routes (a controller restricted to them), re-solved\n" - "over the free capacity plus the policy's own allocation (it may move its own earlier placement,\n" - "never another's). WEIGHTED (WCMP, weighted-cost multipath): every node splits in proportion to\n" - "weights fixed when the routes are prepared (highest averages: whole-unit shares as close to\n" - "proportional as possible; the weights come from WeightBasis). EQUAL_BALANCED (ECMP, equal-cost\n" - "multipath): every node splits equally, by round robin.") - .value("MAX_FLOW", FlowPlacement::MaxFlow) - .value("WEIGHTED", FlowPlacement::Weighted) - .value("EQUAL_BALANCED", FlowPlacement::EqualBalanced); - - py::enum_(m, "Admission", - "LOSSLESS admits the largest total the routes carry with no loss at all; LOSSY sends the whole\n" - "finite offer hop by hop and records where it is lost (EQUAL_BALANCED and WEIGHTED only).") - .value("LOSSLESS", Admission::Lossless) - .value("LOSSY", Admission::Lossy); - - py::enum_(m, "Origin", - "How a demand's traffic enters at its sources, separately from how it is routed. EQUAL: round\n" - "robin over the roster (ascending NodeId, the first sources one unit more); a source whose share\n" - "cannot go anywhere keeps it and loses it (LOSSLESS then admits only totals that give it\n" - "nothing). OPTIMIZED: the controller chooses the injections (one virtual source).") - .value("EQUAL", Origin::Equal) - .value("OPTIMIZED", Origin::Optimized); - - py::enum_(m, "WeightBasis", - "Where WEIGHTED member weights come from (CostOnly WEIGHTED and supplied PredDAG routes).\n" - "CAPACITY (the default): each member's static capacity. EXPLICIT: edge_weights, one integer per\n" - "edge (a positive weight on an edge of capacity 0 becomes 0). RESIDUAL_SNAPSHOT: each member's free\n" - "capacity read once when the routes are prepared, against one common view, and frozen for the\n" - "epoch. A member of weight 0 is pruned with the branches it leaves without a destination, inside\n" - "the route only. The selection's priority never chooses weights.") - .value("CAPACITY", WeightBasis::Capacity) - .value("EXPLICIT", WeightBasis::Explicit) - .value("RESIDUAL_SNAPSHOT", WeightBasis::ResidualSnapshot); - - py::enum_(m, "EdgeTieBreak", - "How a search breaks cost ties. Between parallel members of one (u, v) pair\n" - "(multi_edge = False): DETERMINISTIC keeps the lowest EdgeId, PREFER_HIGHER_PRIORITY the\n" - "higher priority value, then the lowest EdgeId. Between equal-cost walks (multipath =\n" - "False): PREFER_HIGHER_PRIORITY first takes the highest bottleneck (the smallest priority\n" - "value along the walk), DETERMINISTIC skips that step; then the fewest hops, then the\n" - "lexicographically smallest EdgeId sequence.") - .value("DETERMINISTIC", EdgeTieBreak::Deterministic) - .value("PREFER_HIGHER_PRIORITY", EdgeTieBreak::PreferHigherPriority); - - py::enum_(m, "EdgePriority", - "The per-edge value PREFER_HIGHER_PRIORITY reads (single-path and parallel-member choices):\n" - "RESIDUAL (residual units), CAPACITY (static capacity units), HEADROOM (residual / capacity,\n" - "compared exactly as a fraction, 0 on an edge of capacity 0). A search without a residual reads\n" - "the static capacity as the residual: RESIDUAL and CAPACITY read the capacity, HEADROOM 1 (0 on\n" - "an edge of capacity 0). T1's CSPF reads its unreserved view U instead (RESIDUAL U, HEADROOM\n" - "U / capacity). A search and T1 comparison only: it never enables a controller objective\n" - "(T2's is Global(prefer_headroom)) and never chooses weights (WeightBasis does).") - .value("RESIDUAL", EdgePriority::Residual) - .value("CAPACITY", EdgePriority::Capacity) - .value("HEADROOM", EdgePriority::Headroom); - - py::enum_(m, "Direction", - "The orientation of a search: FORWARD from the roots along the edges, or REVERSE toward the roots\n" - "against the edges (the DAG it returns keeps the edges' own direction, so its walks lead to the\n" - "roots).") - .value("FORWARD", Direction::Forward) - .value("REVERSE", Direction::Reverse); - - py::class_(m, "PathSelection", - "The selection of a search or a policy: tie_break (DETERMINISTIC by default), priority\n" - "(CAPACITY by default); multipath None (the default) is the model's natural shape (every\n" - "equal-cost walk for searches and CostOnly, one path for a tunnel model), True every equal-cost\n" - "walk (the DAG; tunnel models reject it), False the one canonical single path; multi_edge = True\n" - "keeps every eligible parallel member, False one per (u, v) pair. A tie_break or priority\n" - "outside its enumeration raises ValueError.") - // The constructor checks both enumerations (ValueError naming the field). - .def(py::init, bool>(), py::arg_v("tie_break", EdgeTieBreak::Deterministic, "EdgeTieBreak.DETERMINISTIC"), - py::arg_v("priority", EdgePriority::Capacity, "EdgePriority.CAPACITY"), py::arg("multipath") = py::none(), py::arg("multi_edge") = true) - .def_readonly("tie_break", &PathSelection::tie_break, "the EdgeTieBreak") - .def_readonly("priority", &PathSelection::priority, "the EdgePriority") - .def_readonly("multipath", &PathSelection::multipath, - "None: the model's natural shape; True: every equal-cost walk (a DAG); False: the canonical\n" - "single path") - .def_readonly("multi_edge", &PathSelection::multi_edge, - "True: every eligible parallel member; False: one member per (u, v) pair") - .def("__eq__", [](const PathSelection& a, const py::object& b) { - return py::isinstance(b) && a == b.cast(); - }) - .def("__hash__", [](const PathSelection& a) { - return py::hash(py::make_tuple(static_cast(a.tie_break), static_cast(a.priority), a.multipath, - a.multi_edge)); - }) - .def("__repr__", [](const PathSelection& a) { - return std::string("PathSelection(tie_break=") + - (a.tie_break == EdgeTieBreak::Deterministic ? "DETERMINISTIC" : "PREFER_HIGHER_PRIORITY") + - ", priority=" + - (a.priority == EdgePriority::Residual ? "RESIDUAL" - : (a.priority == EdgePriority::Capacity ? "CAPACITY" : "HEADROOM")) + - ", multipath=" + (!a.multipath.has_value() ? "None" : *a.multipath ? "True" : "False") + - ", multi_edge=" + (a.multi_edge ? "True" : "False") + - ")"; - }); -} - -} // namespace netgraph::core::bindings diff --git a/bindings/python/dag_cache.cpp b/bindings/python/dag_cache.cpp deleted file mode 100644 index 1e5252b..0000000 --- a/bindings/python/dag_cache.cpp +++ /dev/null @@ -1,60 +0,0 @@ -// DagCacheStats, DagCacheMiss and DagCache: the cache of static shortest-path DAGs. -#include -#include -#include - -#include - -#include "netgraph/core/dag_cache.hpp" -#include "netgraph/core/graph.hpp" -#include "registration.hpp" - -namespace py = pybind11; - -namespace netgraph::core::bindings { - -void register_dag_cache(py::module_& m) { - py::class_(m, "DagCacheStats", - "DagCache statistics (atomic per field, not a consistent snapshot): hits, misses,\n" - "entries, bytes (the entries' retained payload), live_values (values alive anywhere).") - .def_readonly("hits", &DagCache::Stats::hits, "lookups answered from an entry (they persist across clear())") - .def_readonly("misses", &DagCache::Stats::misses, - "lookups without an entry: a building cache searched, a frozen one raised DagCacheMiss") - .def_readonly("entries", &DagCache::Stats::entries, "the entries held") - .def_readonly("bytes", &DagCache::Stats::bytes, "the retained payload of the entries (their DAGs' stored arrays)") - .def_readonly("live_values", &DagCache::Stats::live_values, "the cached values alive anywhere, entries included"); - - py::register_exception(m, "DagCacheMiss", PyExc_Exception); - m.attr("DagCacheMiss").attr("__doc__") = - "A lookup in a frozen DagCache whose key is absent: a dedicated exception (not a\n" - "RuntimeError or ValueError); the evaluators propagate it unchanged."; - - py::class_>( - m, "DagCache", - "A cache of static shortest-path DAGs (from costs and the Eligibility only) for one graph, keyed by\n" - "(the root set, the direction, the Eligibility uid). It stores the full DAG and applies each\n" - "caller's selection afterwards, so the selection is never cached. CostOnly policies and the\n" - "evaluators read it.\n" - "Building mode (a new cache): one writer, no concurrent readers; a miss searches and inserts;\n" - "clear() empties it (the hit and miss counters persist), and values already handed out stay valid.\n" - "Frozen mode (freeze()): read-only and shareable by every worker; a miss counts one miss and raises\n" - "DagCacheMiss; clear() raises ValueError; thaw() returns to building once the caller has joined\n" - "every reader.\n" - "When a public call fails: a building cache passed to it keeps the complete entries and statistics\n" - "of the lookups that succeeded before the failure (never a partial entry; a kept entry never\n" - "changes a result); a frozen cache's statistics stay unchanged, except one miss when the call\n" - "raised DagCacheMiss. A frozen cache counts its hits only when the call succeeds, Python result\n" - "included.") - .def(py::init([](const std::shared_ptr& graph) { - if (!graph) throw py::value_error("graph must be a Graph"); - return std::make_shared(*graph); - }), - py::arg("graph"), "An empty cache in building mode, bound to graph (by its uid).") - .def("graph_uid", &DagCache::graph_uid, "uid of the graph this cache is bound to") - .def("freeze", &DagCache::freeze, "enter frozen mode (no effect when frozen)") - .def("thaw", &DagCache::thaw, "return to building mode (no effect when building); join every reader first") - .def("clear", &DagCache::clear, "empty a building cache; ValueError when frozen") - .def("stats", &DagCache::stats, "the current DagCacheStats (each field read atomically)"); -} - -} // namespace netgraph::core::bindings diff --git a/bindings/python/evaluators.cpp b/bindings/python/evaluators.cpp index dddf3d1..f266890 100644 --- a/bindings/python/evaluators.cpp +++ b/bindings/python/evaluators.cpp @@ -1,5 +1,5 @@ -// capacity, batch_capacity and sensitivity with their options and results. Each evaluator -// places on a new, empty ledger; a frozen DagCache counts its hits only when the whole Python +// evaluate_demand, evaluate_pairs and evaluate_edge_failures with their options and results. Each +// evaluator places on a new, empty ledger; a frozen ShortestPathCache counts its hits only when the whole Python // call succeeds (detail::frozen_call). #include #include @@ -14,7 +14,7 @@ #include #include -#include "netgraph/core/dag_cache.hpp" +#include "netgraph/core/shortest_path_cache.hpp" #include "netgraph/core/detail/evaluator_checks.hpp" #include "netgraph/core/eligibility.hpp" #include "netgraph/core/evaluators.hpp" @@ -31,145 +31,167 @@ namespace netgraph::core::bindings { namespace { -// The Python form of QueryOptions: the Eligibility and the cache are -// held by reference count for the call (the C++ structs borrow raw pointers). -struct PyQueryOptions { - FlowPolicyConfig config; - std::shared_ptr elig; - std::shared_ptr cache; - OutputOptions outputs; - std::optional> design_demand; - std::optional> offered; - [[nodiscard]] QueryOptions native() const { - return QueryOptions {config, elig.get(), cache.get(), outputs, design_demand, offered}; +// An amount option as given (Units: an int or a float; None: absent). A value of another type (a +// bool, a string, ...) raises TypeError here; its domain is the evaluator's check, after the configuration. +// An __index__ object is kept as its int. +py::object units_as_given(const py::object& obj, const char* name) { + if (obj.is_none() || PyFloat_Check(obj.ptr()) || py::isinstance(obj, py::module_::import("numpy").attr("floating"))) { + return obj; } -}; + if (!is_bool(obj) && PyIndex_Check(obj.ptr())) { + auto idx = py::reinterpret_steal(PyNumber_Index(obj.ptr())); + if (!idx) throw py::error_already_set(); + return idx; + } + throw py::type_error(std::string(name) + " must be an int or a float (got " + + std::string(py::str(py::type::of(obj).attr("__name__"))) + ")"); +} -// An optional amount option: None absent, else int units or float('inf') (the inner nullopt). -std::optional> amount_option(const py::object& obj, const char* text) { +// The C++ form of an option kept as given: None absent; +inf the inner nullopt; an int in int64 its +// value; any other value (a float other than +inf, an int beyond int64) -1, which is outside every +// domain and so raises the option's domain error in its place. +std::optional> units_at_use(const py::object& obj) { if (obj.is_none()) return std::nullopt; - return units_or_inf(obj, text); + if (PyLong_Check(obj.ptr())) { + int overflow = 0; + const long long v = PyLong_AsLongLongAndOverflow(obj.ptr(), &overflow); + if (overflow != 0) return Amount {-1}; + return Amount {v}; + } + const double x = PyFloat_AsDouble(obj.ptr()); + if (x == -1.0 && PyErr_Occurred() != nullptr) throw py::error_already_set(); + if (std::isinf(x) && x > 0) return std::optional> {std::in_place, std::nullopt}; + return Amount {-1}; } -py::object amount_or_none(const std::optional>& x) { - if (!x.has_value()) return py::none(); - if (!x->has_value()) return py::float_(std::numeric_limits::infinity()); - return py::int_(**x); -} +// The Python form of EvaluationOptions: the Eligibility and the cache are held by reference count +// for the call (the C++ structs borrow raw pointers); design_demand and offer as given. +struct PyEvaluationOptions { + FlowPolicyConfig config; + std::shared_ptr eligibility; + std::shared_ptr cache; + OutputOptions outputs; + py::object design_demand; + py::object offer; + [[nodiscard]] EvaluationOptions native() const { + return EvaluationOptions {config, eligibility.get(), cache.get(), outputs, units_at_use(design_demand), units_at_use(offer)}; + } +}; // workers: an explicit integer is passed through (validated by the evaluator); None takes the // environment default (detail::default_workers), and 1 whenever a cache is supplied (a building // cache has one writer; a frozen one is shared only when the caller asks for workers). -std::int32_t workers_of(const py::object& workers, bool sensitivity, bool cache_given) { +std::int32_t workers_of(const py::object& workers, bool edge_failures, bool cache_given) { if (!workers.is_none()) { return static_cast(integer_value(workers, std::numeric_limits::min(), std::numeric_limits::max(), "workers")); } if (cache_given) return 1; - return detail::default_workers(sensitivity); + return detail::default_workers(edge_failures); } } // namespace void register_evaluators(py::module_& m) { - py::class_(m, "QueryOptions", - "The options of every evaluator (capacity, batch_capacity, sensitivity): the configuration,\n" - "the static Eligibility (None: all allowed), the DagCache (None: private per worker), the\n" - "optional outputs of each result (sensitivity: of its baseline), design_demand (int units or\n" - "float('inf'); None: absent): T1's design, always required and finite (`T1 capacity requires\n" - "design_demand`, `T1 requires a finite design demand`); T2's design (None: unlimited when\n" - "LOSSLESS, the offered amount when LOSSY); rejected by every other model (` does not\n" - "accept design_demand`); and offered (int units or float('inf'); None: absent), the offer of a\n" - "T1, T2 or Pinned LOSSY evaluation: required and finite there (` LOSSY\n" - "capacity requires finite offered`; T2 takes a finite design instead when offered is None); a\n" - "LOSSLESS model rejects it (` LOSSLESS capacity does not accept offered`), CostOnly LOSSY\n" - "too (`CostOnly LOSSY capacity uses first-hop injection`).") + py::class_(m, "EvaluationOptions", + "The options of every evaluator (evaluate_demand, evaluate_pairs, evaluate_edge_failures): config\n" + "(the configuration), eligibility (the static Eligibility; None: all allowed), cache (the\n" + "ShortestPathCache; None: private per worker), outputs (the optional outputs of each result;\n" + "evaluate_edge_failures: of its baseline), design_demand and\n" + "offer (int units or a float, kept as given; another type raises TypeError). offer: a finite offer\n" + "for every model (None: the uncapped LOSSLESS question, or for ShortestPaths EQUAL/WEIGHTED with\n" + "LOSSY the first-hop experiment; required for DistributedTE, Pinned and, without a finite design,\n" + "CentralizedTE with tunnel_count under LOSSY). design_demand: DistributedTE always, required and\n" + "finite; CentralizedTE with tunnel_count: None means the offer when it is finite, else unlimited;\n" + "every other model leaves it None. The evaluators check both after the configuration, in this order:\n" + "an explicit offer (`offer must be an integer in [0, 2^62)`, +inf included), the design\n" + "(` does not accept design_demand`, `design_demand must be an integer in [0, 2^62) or\n" + "permitted +inf`, `DistributedTE requires a finite design demand`), DistributedTE's missing design\n" + "(`DistributedTE evaluation requires design_demand`), the missing LOSSY offer (` LOSSY evaluation requires a finite offer`).") .def(py::init([](const FlowPolicyConfig& config, const std::shared_ptr& elig, - const std::shared_ptr& cache, const py::object& outputs, const py::object& design_demand, - const py::object& offered) { - auto d = amount_option(design_demand, "design_demand must be an integer in [0, 2^62) or permitted +inf"); - auto o = amount_option(offered, "offered must be an integer in [0, 2^62) or permitted +inf"); - return PyQueryOptions {config, elig, cache, outputs_of(outputs), d, o}; + const std::shared_ptr& cache, const py::object& outputs, const py::object& design_demand, + const py::object& offer) { + auto d = units_as_given(design_demand, "design_demand"); + auto o = units_as_given(offer, "offer"); + return PyEvaluationOptions {config, elig, cache, outputs_of(outputs), std::move(d), std::move(o)}; }), - py::arg("config"), py::kw_only(), py::arg("elig") = nullptr, py::arg("cache") = nullptr, - py::arg("outputs") = py::none(), py::arg("design_demand") = py::none(), py::arg("offered") = py::none()) - .def_readonly("config", &PyQueryOptions::config, - "the FlowPolicyConfig of every evaluated policy (sensitivity: the baseline and every deletion)") - .def_readonly("elig", &PyQueryOptions::elig, "the static Eligibility; None: everything allowed") - .def_readonly("cache", &PyQueryOptions::cache, "the supplied DagCache; None: a private cache per worker") - .def_readonly("outputs", &PyQueryOptions::outputs, - "the OutputOptions of every result (sensitivity: of the baseline)") - .def_property_readonly( - "design_demand", [](const PyQueryOptions& o) { return amount_or_none(o.design_demand); }, - "the tunnel models' design volume (int units, or float('inf')); None: absent") - .def_property_readonly( - "offered", [](const PyQueryOptions& o) { return amount_or_none(o.offered); }, - "the offer of a T1, T2 or Pinned LOSSY evaluation (int units, or float('inf')); None: absent"); + py::arg("config"), py::kw_only(), py::arg("eligibility") = nullptr, py::arg("cache") = nullptr, + py::arg("outputs") = py::none(), py::arg("design_demand") = py::none(), py::arg("offer") = py::none()) + .def_property_readonly("config", field_object(&PyEvaluationOptions::config), + "the FlowPolicyConfig of every evaluated policy (evaluate_edge_failures: the baseline and every deletion)") + .def_property_readonly("eligibility", shared_field(&PyEvaluationOptions::eligibility), "the static Eligibility; None: everything allowed") + .def_property_readonly("cache", shared_field(&PyEvaluationOptions::cache), "the supplied ShortestPathCache; None: a private cache per worker") + .def_property_readonly("outputs", field_object(&PyEvaluationOptions::outputs), + "the OutputOptions of every result (evaluate_edge_failures: of the baseline)") + .def_readonly("design_demand", &PyEvaluationOptions::design_demand, + "the tunnel models' design volume as given (int units or a float); None: absent") + .def_readonly("offer", &PyEvaluationOptions::offer, "the offer as given (int units or a float); None: absent"); py::class_(m, "SensitivityEntry", - "One candidate edge: edge and loss (int units: the baseline minus the capacity without the\n" - "edge).") + "One candidate edge: edge and delivery_reduction (int units: the baseline's delivery minus the\n" + "delivery without the edge; signed).") .def_readonly("edge", &SensitivityEntry::edge) - .def_readonly("loss", &SensitivityEntry::loss); + .def_readonly("delivery_reduction", &SensitivityEntry::delivery_reduction); py::class_(m, "SensitivityResult", - "baseline (the PlacementResult of capacity()) and entries (ascending EdgeId; an\n" - "absent edge has loss 0).") - .def_readonly("baseline", &SensitivityResult::baseline) - .def_readonly("entries", &SensitivityResult::entries); + "baseline (the PlacementResult of evaluate_demand()) and entries (ascending EdgeId; an\n" + "absent edge has reduction 0).") + .def_property_readonly("baseline", field_object(&SensitivityResult::baseline)) + .def_property_readonly("entries", list_field(&SensitivityResult::entries)); m.def( - "capacity", + "evaluate_demand", [](const std::shared_ptr& graph, const py::object& sources, const py::object& destinations, const py::object& opts) { if (!graph) throw py::value_error("graph must be a Graph"); - const auto o = options_of(opts, "QueryOptions"); + const auto o = options_of(opts, "EvaluationOptions"); const auto s = node_ids(sources, graph->num_nodes(), "sources"); const auto d = node_ids(destinations, graph->num_nodes(), "destinations"); - const QueryOptions c = o.native(); + const EvaluationOptions c = o.native(); // One public call on a frozen cache's statistics, its result object included: its hits count // only when the Python result exists. - return detail::frozen_call(c.cache, [&](detail::FrozenTally& tally) { + return detail::frozen_call(c.cache, [&](detail::FrozenCacheHitTally& tally) { PlacementResult r; { py::gil_scoped_release release; - r = detail::capacity_in_call(*graph, s, d, c, tally); + r = detail::evaluate_demand_in_call(*graph, s, d, c, tally); } return object_of(std::move(r)); }); }, - py::arg("graph"), py::arg("sources"), py::arg("destinations"), py::arg("opts"), - "place(+inf) of a FlowPolicy with opts.config on a fresh ledger of the graph (Pinned LOSSY:\n" - "place(opts.offered); T1: evaluate(+inf or opts.offered, design_demand=opts.design_demand), the\n" - "lossless bound of the tunnels set up for the design, or what they deliver of offered; T2: the same\n" - "with an unlimited design when LOSSLESS and none is given, and the design as the offer when LOSSY\n" - "without offered) -> PlacementResult.\n" - "The exact maximum flow is Global() (the optimized origin); with origin=EQUAL, the largest total whose\n" - "round-robin source shares are all carried. A supplied frozen cache raises DagCacheMiss for an absent\n" - "key, unchanged.\n" - "A failed call raises; a supplied DagCache then behaves as the DagCache docstring states."); + py::arg("graph"), py::arg("sources"), py::arg("destinations"), py::arg("options"), + "The evaluation of a fresh FlowPolicy with options.config on a fresh ledger of graph at options.offer\n" + "(None: +inf; DistributedTE and CentralizedTE with tunnel_count: evaluate(offer, design_demand=...))\n" + "-> PlacementResult. LOSSLESS delivers up to a finite offer; LOSSY accounts for exactly that offer\n" + "(ShortestPaths EQUAL/WEIGHTED LOSSY without an offer: the first-hop experiment). The options are checked as\n" + "the EvaluationOptions docstring states.\n" + "The exact maximum flow is CentralizedTE(source_allocation=OPTIMIZED); with source_allocation=EQUAL, the largest\n" + "total whose round-robin source shares are all carried. A supplied frozen cache raises ShortestPathCacheMiss\n" + "for an absent key, unchanged.\n" + "A failed call raises; a supplied ShortestPathCache then behaves as the ShortestPathCache docstring states."); m.def( - "batch_capacity", + "evaluate_pairs", [](const std::shared_ptr& graph, const py::object& pairs, const py::object& opts, - const py::object& per_pair_elig, const py::object& workers) { + const py::object& per_pair_eligibility, const py::object& workers) { if (!graph) throw py::value_error("graph must be a Graph"); // The arguments first, then each pair completely and in pair order (the same two parts // as the C++ validation), so the lowest failing pair index is reported. - const auto o = options_of(opts, "QueryOptions"); + const auto o = options_of(opts, "EvaluationOptions"); const auto w = workers_of(workers, false, static_cast(o.cache)); - const QueryOptions c = o.native(); + const EvaluationOptions c = o.native(); detail::check_batch_arguments(*graph, c, w); - if (not_a_sequence(pairs)) throw py::value_error("pairs must be a sequence of (sources, destinations)"); + if (is_invalid_sequence(pairs)) throw py::value_error("pairs must be a sequence of (sources, destinations)"); const auto items = py::reinterpret_borrow(pairs); const auto num_pairs = py::len(items); std::optional eligs; - if (!per_pair_elig.is_none()) { + if (!per_pair_eligibility.is_none()) { // An explicit sequence has one entry per pair (None entries allowed), also when empty. - if (not_a_sequence(per_pair_elig)) throw py::value_error("per_pair_elig must be a sequence of Eligibility or None"); - eligs = py::reinterpret_borrow(per_pair_elig); + if (is_invalid_sequence(per_pair_eligibility)) throw py::value_error("per_pair_eligibility must be a sequence of Eligibility or None"); + eligs = py::reinterpret_borrow(per_pair_eligibility); if (py::len(*eligs) != num_pairs) { - throw py::value_error("per_pair_elig has " + std::to_string(py::len(*eligs)) + " entries for " + + throw py::value_error("per_pair_eligibility has " + std::to_string(py::len(*eligs)) + " entries for " + std::to_string(num_pairs) + " pairs"); } } @@ -179,7 +201,7 @@ void register_evaluators(py::module_& m) { const auto n = graph->num_nodes(); for (std::size_t i = 0; i < num_pairs; ++i) { const py::object item = items[i]; - if (not_a_sequence(item) || py::len(item) != 2) { + if (is_invalid_sequence(item) || py::len(item) != 2) { throw py::value_error("each pair must be (sources, destinations)"); } auto t = py::reinterpret_borrow(item); @@ -189,7 +211,7 @@ void register_evaluators(py::module_& m) { if (eligs) { const py::object entry = (*eligs)[i]; if (!entry.is_none()) { - if (!py::isinstance(entry)) throw py::type_error("per_pair_elig entries must be Eligibility or None"); + if (!py::isinstance(entry)) throw py::type_error("per_pair_eligibility entries must be Eligibility or None"); keep.push_back(entry.cast>()); e = keep.back().get(); } @@ -198,11 +220,11 @@ void register_evaluators(py::module_& m) { detail::check_batch_pair(*graph, c.config, src, dst, e, i); ps.emplace_back(std::move(src), std::move(dst)); } - return detail::frozen_call(c.cache, [&](detail::FrozenTally& tally) { + return detail::frozen_call(c.cache, [&](detail::FrozenCacheHitTally& tally) { std::vector rs; { py::gil_scoped_release release; - rs = detail::batch_capacity_in_call(*graph, ps, c, per, w, tally); + rs = detail::evaluate_pairs_in_call(*graph, ps, c, per, w, tally); } py::list out(rs.size()); for (std::size_t i = 0; i < rs.size(); ++i) { @@ -211,57 +233,60 @@ void register_evaluators(py::module_& m) { return py::object(std::move(out)); }); }, - py::arg("graph"), py::arg("pairs"), py::arg("opts"), py::arg("per_pair_elig") = py::none(), + py::arg("graph"), py::arg("pairs"), py::arg("options"), py::arg("per_pair_eligibility") = py::none(), py::arg("workers") = py::none(), - "capacity() for each (sources, destinations) pair, results in pair order. Pair i uses opts.elig\n" - "intersected with per_pair_elig[i] (None entries allowed; a given sequence has one entry per pair,\n" + "evaluate_demand() for each (sources, destinations) pair, results in pair order. Pair i uses\n" + "options.eligibility " + "intersected with per_pair_eligibility[i] (None entries allowed; a given sequence has one entry per pair,\n" "also when empty). workers >= 1; None: NGRAPH_CORE_BATCH_THREADS or 1, and 1 when a cache is\n" "supplied. Everything is validated before a worker starts, the arguments first, then each pair\n" "completely in pair order, so the error of the lowest failing pair is raised. Pinned is rejected\n" - "(`batch_capacity does not accept Pinned`: a program has fixed endpoints);\n" + "(`evaluate_pairs does not accept Pinned`: a program has fixed endpoints);\n" "an empty batch returns [].\n" "Caches: a supplied building cache needs workers == 1; a frozen cache is shared by every worker\n" - "(pass workers explicitly), and its DagCacheMiss reaches the caller unchanged (the lowest failing\n" + "(pass workers explicitly), and its ShortestPathCacheMiss reaches the caller unchanged (the lowest failing\n" "pair's). An intersection that differs from both operands gets a new Eligibility uid, which a\n" - "frozen cache cannot hold: pass the combined per-pair values with elig None, or a common value\n" + "frozen cache cannot hold: pass the combined per-pair values with eligibility None, or a common value\n" "that contains them.\n" - "A failed call raises; a supplied DagCache then behaves as the DagCache docstring states."); + "A failed call raises; a supplied ShortestPathCache then behaves as the ShortestPathCache docstring states."); m.def( - "sensitivity", + "evaluate_edge_failures", [](const std::shared_ptr& graph, const py::object& sources, const py::object& destinations, const py::object& opts, const py::object& workers) { if (!graph) throw py::value_error("graph must be a Graph"); - const auto o = options_of(opts, "QueryOptions"); + const auto o = options_of(opts, "EvaluationOptions"); const auto s = node_ids(sources, graph->num_nodes(), "sources"); const auto d = node_ids(destinations, graph->num_nodes(), "destinations"); const auto w = workers_of(workers, true, static_cast(o.cache)); - const QueryOptions c = o.native(); - return detail::frozen_call(c.cache, [&](detail::FrozenTally& tally) { + const EvaluationOptions c = o.native(); + return detail::frozen_call(c.cache, [&](detail::FrozenCacheHitTally& tally) { SensitivityResult r; { py::gil_scoped_release release; - r = detail::sensitivity_in_call(*graph, s, d, c, w, tally); + r = detail::evaluate_edge_failures_in_call(*graph, s, d, c, w, tally); } return object_of(std::move(r)); }); }, - py::arg("graph"), py::arg("sources"), py::arg("destinations"), py::arg("opts"), py::arg("workers") = py::none(), - "The baseline capacity() and one SensitivityEntry per candidate edge. Candidates: with unrestricted\n" - "Global and the optimized origin, the edges that carry flow in the baseline (removing any other edge cannot\n" - "lower a maximum flow); otherwise every allowed edge, whatever its capacity (an edge of capacity 0\n" - "can carry a route, so deleting it can change the result, and with the equal origin a deletion that\n" - "removes a source from the roster can raise the total: a negative loss). loss = baseline.placed\n" - "minus the placed of capacity() without the edge, in signed units, never thresholded. Two\n" - "shortcuts give exactly that value: unrestricted optimized Global repairs a copy of the baseline's\n" - "solve instead of solving again, and CostOnly\n" - "gives loss 0 without placing to an edge outside the static shortest-path support reachable from\n" - "the roster sources (no route can use it). Global with a support solves every deletion afresh; Pinned\n" - "replays the same program under each deletion. workers as batch_capacity\n" - "(NGRAPH_CORE_SENSITIVITY_THREADS). Only CostOnly reads the cache, and each placed deletion uses a\n" - "new Eligibility uid, so a frozen cache raises DagCacheMiss there.\n" + py::arg("graph"), py::arg("sources"), py::arg("destinations"), py::arg("options"), py::arg("workers") = py::none(), + "The baseline evaluate_demand() and one SensitivityEntry per candidate edge. Candidates: with unrestricted\n" + "CentralizedTE and the optimized source allocation, the edges that carry flow in the baseline (removing any\n" + "other edge keeps the baseline feasible, at any offer); otherwise every allowed edge, whatever its capacity (an edge of capacity 0\n" + "can carry a route, so deleting it can change the result, and with the equal source allocation a deletion that\n" + "removes a source from the roster can raise the total: a negative reduction). delivery_reduction =\n" + "baseline.call_delivered minus the call_delivered of evaluate_demand() without the edge, in signed\n" + "units, never thresholded. Two\n" + "shortcuts give exactly that value: unrestricted optimized CentralizedTE whose baseline is a maximum flow\n" + "(no offer, or an offer above what it delivers) repairs a copy of the baseline's solve instead of solving\n" + "again (at an offer the baseline delivers, each deletion is solved at the offer), and ShortestPaths\n" + "gives reduction 0 without placing to an edge outside the static shortest-path support reachable from\n" + "the roster sources (no route can use it). CentralizedTE with a support solves every deletion afresh; Pinned\n" + "replays the same program under each deletion. workers as evaluate_pairs\n" + "(NGRAPH_CORE_SENSITIVITY_THREADS). Only ShortestPaths reads the cache, and each placed deletion uses a\n" + "new Eligibility uid, so a frozen cache raises ShortestPathCacheMiss there.\n" "A failed deletion fails the call (the lowest failing candidate's exception, no partial result); a\n" - "supplied DagCache then behaves as the DagCache docstring states."); + "supplied ShortestPathCache then behaves as the ShortestPathCache docstring states."); } } // namespace netgraph::core::bindings diff --git a/bindings/python/flow_ledger.cpp b/bindings/python/flow_ledger.cpp index 4d83afa..1acc50d 100644 --- a/bindings/python/flow_ledger.cpp +++ b/bindings/python/flow_ledger.cpp @@ -23,43 +23,43 @@ void register_flow_ledger(py::module_& m) { [[maybe_unused]] auto ledger_class = py::class_>( m, "FlowLedger", "The integer ledger of one graph, in two projections that are never added: carried traffic (the\n" - "service baseline; allocated() is the sum of every record's edges and residual() = baseline -\n" - "allocated()) and the strict holds of T1 tunnels (the reservation baseline; reserved() is the sum of\n" - "every record's reserved_edges and unreserved() = reservation baseline - reserved()), all int64[E]\n" + "service baseline; carried() is the sum of every record's edge_flows and residual() = baseline -\n" + "carried()) and the strict holds of T1 tunnels (the reservation baseline; reserved() is the sum of\n" + "every record's edge_reservations and unreserved() = reservation baseline - reserved()), all int64[E]\n" "snapshots. Traffic may use bandwidth that is held: holds never police. The baselines are replaced\n" "only by reset(); the records are the flows placed on it by policies (the ledger has no public\n" "placement, removal or reservation). reset() and copy() are rejected while a policy is bound (a\n" "FlowPolicy built on this ledger still exists).") - .def(py::init([](const std::shared_ptr& graph, const py::object& residual, const py::object& unreserved) { + .def(py::init([](const std::shared_ptr& graph, const py::object& service_baseline, const py::object& reservation_baseline) { if (!graph) throw py::value_error("graph must be a Graph"); - const auto caps = graph->capacity_units(); - const auto r = residual.is_none() ? std::vector(caps.begin(), caps.end()) - : edge_units(residual, *graph, "residual"); - const auto u = unreserved.is_none() ? std::vector(caps.begin(), caps.end()) - : edge_units(unreserved, *graph, "unreserved"); + const auto caps = graph->edge_capacity_units(); + const auto r = service_baseline.is_none() ? std::vector(caps.begin(), caps.end()) + : edge_units(service_baseline, *graph, "service_baseline"); + const auto u = reservation_baseline.is_none() ? std::vector(caps.begin(), caps.end()) + : edge_units(reservation_baseline, *graph, "reservation_baseline"); return std::make_shared(graph, r, u); }), - py::arg("graph"), py::arg("residual") = py::none(), py::kw_only(), py::arg("unreserved") = py::none(), - "residual and unreserved: the service and reservation baselines as integer units, one entry per\n" - "edge in [0, capacity_units[e]] (a physical baseline goes through to_units first; residual checked\n" - "first); None: the capacities. ValueError otherwise.") + py::arg("graph"), py::arg("service_baseline") = py::none(), py::kw_only(), py::arg("reservation_baseline") = py::none(), + "service_baseline and reservation_baseline: the baselines as integer units, one entry per edge in\n" + "[0, the edge's capacity] (a physical baseline goes through to_units first; service_baseline\n" + "checked first); None: the capacities. ValueError otherwise.") .def("uid", &FlowLedger::uid, "process-unique ledger uid (the first half of every FlowId)") .def( "graph", [](const FlowLedger& fg) { return typed_shared(fg.graph()); }, "the ledger's graph") .def( - "capacity_units", - [](const py::object& self) { return readonly_view(self.cast().capacity_units(), self); }, + "edge_capacity_units", + [](const py::object& self) { return readonly_view(self.cast().edge_capacity_units(), self); }, "int64[E] the graph's capacities in units (read-only view)") .def( "residual", [](const FlowLedger& fg) { return int64_array(fg.residual()); }, - "int64[E] snapshot: baseline - allocated") + "int64[E] snapshot: service_baseline - carried()") .def( - "allocated", [](const FlowLedger& fg) { return int64_array(fg.allocated()); }, - "int64[E] snapshot: the sum of every record's edges") + "carried", [](const FlowLedger& fg) { return int64_array(fg.carried()); }, + "int64[E] snapshot: the sum of every record's edge_flows") .def( "reserved", [](const FlowLedger& fg) { return int64_array(fg.reserved()); }, - "int64[E] snapshot: strict holds per edge (T1), the sum of every record's reserved_edges") + "int64[E] snapshot: strict holds per edge (T1), the sum of every record's edge_reservations") .def( "unreserved", [](const FlowLedger& fg) { return int64_array(fg.unreserved()); }, "int64[E] snapshot: reservation baseline minus strict holds, per edge") @@ -73,26 +73,26 @@ void register_flow_ledger(py::module_& m) { py::arg("flow_id"), "one record by FlowId (ValueError for a FlowId of another ledger, a retired or an unknown id)") .def( - "bottleneck", + "saturated_boundary_edges", [](const FlowLedger& fg, const py::object& sources, const std::shared_ptr& elig) { const auto s = node_ids(sources, fg.graph()->num_nodes(), "sources"); - return fg.bottleneck(s, elig.get()); + return fg.saturated_boundary_edges(s, elig.get()); }, - py::arg("sources"), py::arg("elig") = nullptr, + py::arg("sources"), py::arg("eligibility") = nullptr, "Saturation report: the eligible edges with capacity >= 1 unit that leave the set of nodes the\n" "allowed sources can reach (following eligible edges forward with residual >= 1 unit), in\n" "ascending EdgeId. It ignores the destinations, so it is not a source-destination cut.") .def( "reset", - [](FlowLedger& fg, const py::object& residual, const py::object& unreserved) { - const auto caps = fg.capacity_units(); - const auto r = residual.is_none() ? std::vector(caps.begin(), caps.end()) - : edge_units(residual, *fg.graph(), "residual"); - const auto u = unreserved.is_none() ? std::vector(caps.begin(), caps.end()) - : edge_units(unreserved, *fg.graph(), "unreserved"); + [](FlowLedger& fg, const py::object& service_baseline, const py::object& reservation_baseline) { + const auto caps = fg.edge_capacity_units(); + const auto r = service_baseline.is_none() ? std::vector(caps.begin(), caps.end()) + : edge_units(service_baseline, *fg.graph(), "service_baseline"); + const auto u = reservation_baseline.is_none() ? std::vector(caps.begin(), caps.end()) + : edge_units(reservation_baseline, *fg.graph(), "reservation_baseline"); fg.reset(r, u); }, - py::arg("residual") = py::none(), py::kw_only(), py::arg("unreserved") = py::none(), + py::arg("service_baseline") = py::none(), py::kw_only(), py::arg("reservation_baseline") = py::none(), "New baselines (None: the capacities); orphaned records with their allocations and holds are\n" "cleared and their ids retired (ids are never reused). ValueError while a policy is bound.") .def( @@ -108,9 +108,9 @@ void register_flow_ledger(py::module_& m) { "_state", [](const FlowLedger& fg) { py::dict out; - out["next_flow_id"] = detail::LedgerAccess::next_flow_id(fg); - out["bound"] = detail::LedgerAccess::bound_owners(fg); - out["orphans"] = detail::LedgerAccess::orphan_owners(fg); + out["next_flow_id"] = detail::LedgerAccess::next_record_counter(fg); + out["bound"] = detail::LedgerAccess::bound_policy_ids(fg); + out["orphans"] = detail::LedgerAccess::orphan_policy_ids(fg); return out; }, "private: {next_flow_id, bound, orphans} (owner ids)"); diff --git a/bindings/python/flow_policy.cpp b/bindings/python/flow_policy.cpp index 93e6da7..65ec1aa 100644 --- a/bindings/python/flow_policy.cpp +++ b/bindings/python/flow_policy.cpp @@ -10,12 +10,12 @@ #include #include -#include "netgraph/core/dag_cache.hpp" +#include "netgraph/core/shortest_path_cache.hpp" #include "netgraph/core/eligibility.hpp" #include "netgraph/core/flow_ledger.hpp" #include "netgraph/core/detail/policy_engine.hpp" #include "netgraph/core/flow_policy.hpp" -#include "netgraph/core/program.hpp" +#include "netgraph/core/forwarding_program.hpp" #include "integers.hpp" #include "publication.hpp" #include "values.hpp" @@ -23,7 +23,7 @@ #include #include -#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/detail/route_builders.hpp" #include "netgraph/core/detail/ledger_access.hpp" #include "netgraph/core/detail/policy_engine.hpp" #include "netgraph/core/detail/private_hooks.hpp" @@ -38,8 +38,8 @@ namespace netgraph::core::bindings { namespace { // A request or a full offer: units in [0, 2^62) or +inf (float('inf')); nullopt is +inf. -std::optional request_units(const py::object& volume) { - return units_or_inf(volume, "offer must be an integer in [0, 2^62) or permitted +inf"); +std::optional request_units(const py::object& offer) { + return units_or_inf(offer, "offer must be an integer in [0, 2^62) or permitted +inf"); } // A design demand argument: None absent; float('inf') the inner nullopt; an integer passed on for @@ -73,31 +73,31 @@ py::dict state_obj(const FlowPolicy& policy) { py::dict out; const auto& r = pe.config.routing; out["mode"] = detail::model_name(r); - out["roster"] = pe.roster; + out["roster"] = pe.reachable_sources; out["requested"] = counter_int(pe.epoch.requested); out["infinite"] = pe.epoch.infinite; - out["placed_demand"] = policy.placed_demand(); + out["placed_demand"] = policy.delivered(); py::dict cohorts; // Per roster source its flows (T1, T2 and Pinned: per program entry, keyed by its position). - const auto* gl = std::get_if(&r); - const bool per_entry = std::holds_alternative(r) || std::holds_alternative(r) || - (gl != nullptr && gl->tunnels.has_value()); - for (std::size_t i = 0; i < pe.epoch.cohorts.size(); ++i) { + const auto* gl = std::get_if(&r); + const bool per_entry = std::holds_alternative(r) || std::holds_alternative(r) || + (gl != nullptr && gl->tunnel_count.has_value()); + for (std::size_t i = 0; i < pe.epoch.record_groups.size(); ++i) { py::list flows; - for (const auto& s : pe.epoch.cohorts[i]) { - const FlowRecord& rec = detail::LedgerAccess::live(pe.fg, s.id); + for (const auto& s : pe.epoch.record_groups[i]) { + const FlowRecord& rec = detail::LedgerAccess::live(pe.ledger, s.record_counter); py::dict f; f["flow_id"] = py::make_tuple(rec.flow_id.first, rec.flow_id.second); - f["src"] = s.src; - const auto edges = detail::PredDAGBuilder::ascending(*s.bundle); + f["src"] = s.source; + const auto edges = detail::PredecessorDAGBuilder::ascending(*s.route); f["route"] = std::vector(edges.begin(), edges.end()); f["T"] = rec.delivered; f["delivered"] = rec.delivered; - f["alloc"] = pairs_list(rec.edges); - f["entry"] = s.entry < 0 ? py::object(py::none()) : py::object(py::int_(s.entry)); + f["alloc"] = pairs_list(rec.edge_flows); + f["entry"] = s.entry_id < 0 ? py::object(py::none()) : py::object(py::int_(s.entry_id)); flows.append(f); } - cohorts[py::int_(per_entry ? static_cast(i) : static_cast(pe.roster[i]))] = flows; + cohorts[py::int_(per_entry ? static_cast(i) : static_cast(pe.reachable_sources[i]))] = flows; } out["cohorts"] = cohorts; return out; @@ -119,11 +119,11 @@ void register_flow_policy(py::module_& m) { "FlowLedger.reset(). sources and destinations are one NodeId or a sequence; the two sets must not\n" "overlap. ValueError for invalid endpoints, configurations and requests (non-integer node ids and\n" "requests included) and for objects of another graph, ledger or policy; TypeError for a ledger,\n" - "config, elig, cache or outputs of the wrong class (a ledger of None: ValueError) and for an\n" + "config, eligibility, cache or outputs of the wrong class (a ledger of None: ValueError) and for an\n" "unknown keyword.") .def(py::init([](const std::shared_ptr& ledger, const py::object& sources, const py::object& destinations, const FlowPolicyConfig& config, - const std::shared_ptr& elig, const std::shared_ptr& cache) { + const std::shared_ptr& elig, const std::shared_ptr& cache) { if (!ledger) throw py::value_error("ledger must be a FlowLedger"); const auto n = ledger->graph()->num_nodes(); const auto s = node_ids(sources, n, "sources"); @@ -131,25 +131,25 @@ void register_flow_policy(py::module_& m) { return std::make_unique(*ledger, s, d, config, elig.get(), cache.get()); }), py::keep_alive<1, 2>(), py::keep_alive<1, 6>(), py::keep_alive<1, 7>(), py::arg("ledger"), - py::arg("sources"), py::arg("destinations"), py::arg("config"), py::arg("elig") = nullptr, + py::arg("sources"), py::arg("destinations"), py::arg("config"), py::arg("eligibility") = nullptr, py::arg("cache") = nullptr, - "Bind a policy to ledger. elig (None: everything allowed) and cache (None: none; only CostOnly\n" + "Bind a policy to ledger. eligibility (None: everything allowed) and cache (None: none; only ShortestPaths\n" "routing reads it, another model rejects it) belong to the ledger's graph; the policy keeps the\n" - "ledger, elig and cache alive (a Pinned policy shares its program and black holes). The roster\n" + "ledger, eligibility and cache alive (a Pinned policy shares its program and black holes). The roster\n" "(the sources that statically reach an allowed destination, over allowed edges whatever their\n" "capacity, the tunnel models' heads; Pinned: the program's heads that reach an allowed destination over its basis\n" - "under elig) is fixed here. Everything is validated before the policy binds, in this order: the endpoints, the\n" - "graph of elig, the program, the support, the cache and the black holes (`foreign Eligibility:\n" + "under eligibility) is fixed here. Everything is validated before the policy binds, in this order: the endpoints, the\n" + "graph of eligibility, the program, the support, the cache and the black holes (`foreign Eligibility:\n" "built for another graph`, `program belongs to another graph`, `support belongs to another graph`,\n" - "`foreign DagCache: bound to another graph`, `black_holes belongs to another graph`), the\n" - "configuration (FlowPolicyConfig's order), then the pooled single-path rule, T2's several-sources\n" - "rule (`T2 with several sources requires origin=EQUAL`), the tunnel limit (`tunnel limit exceeded:\n" + "`foreign ShortestPathCache: bound to another graph`, `black_holes belongs to another graph`), the\n" + "configuration (FlowPolicyConfig's order, the pooled single-path rule and T2's several-sources rule\n" + "included), the tunnel limit (`tunnel limit exceeded:\n" " heads x tunnels > 1073741823`) and a Pinned program's endpoints (`program endpoints do not\n" "match policy endpoints`).") .def( "place", - [](FlowPolicy& p, const py::object& volume, const py::object& outputs) { - const auto v = request_units(volume); + [](FlowPolicy& p, const py::object& offer, const py::object& outputs) { + const auto v = request_units(offer); const auto o = outputs_of(outputs); // All or nothing across the boundary: the result's Python object exists before the // call, and after the commit nothing allocates (the value moves into it). The GIL @@ -158,27 +158,28 @@ void register_flow_policy(py::module_& m) { *slot = p.place(v, o); return std::move(obj); }, - py::arg("volume"), py::arg("outputs") = py::none(), - "Place volume (int units in [0, 2^62), or float('inf')) all or nothing -> PlacementResult. T1 and T2\n" - "raise ` does not support incremental placement` (also for 0).\n" + py::arg("offer"), py::arg("outputs") = py::none(), + "Place offer (int units in [0, 2^62), or float('inf')) all or nothing -> PlacementResult. T1 and T2\n" + "raise ` does not support incremental placement`\n" + "(also for 0).\n" "Requests add up within an epoch (from construction, the last remove(), replace() or forward());\n" "after float('inf') any finite request is rejected, 0 included. A request of 0 places nothing and\n" - "reports the current state. CostOnly prepares its program at the epoch's first positive request;\n" - "LOSSLESS admits the largest total in [admitted, admitted + volume] that the program carries with no\n" + "reports the current state. ShortestPaths prepares its program at the epoch's first positive request;\n" + "LOSSLESS admits the largest total in [admitted, admitted + offer] that the program carries with no\n" "loss (a refused unit is not offered again); LOSSY forwards the new round-robin (or captured-weight)\n" "injections, each head splitting its increment afresh (earlier drops are not offered again); a\n" - "controller re-solves admitted + volume. A LOSSY float('inf') is CostOnly's first-hop experiment;\n" + "controller re-solves admitted + offer. A LOSSY float('inf') is ShortestPaths's first-hop experiment;\n" "Pinned raises `LOSSY forwarding requires a finite offer`. outputs (OutputOptions; None: none)\n" - "requests edge_flows, residual, bottleneck, reservation_edge_flows and min_cut. Everything is\n" + "requests edge_flows, residual, saturated_boundary_edges, edge_reservations and min_cut. Everything is\n" "validated before any change; a\n" - "failed call raises with the ledger and the policy unchanged. A solve of the flow core (Global,\n" - "CostOnly MAX_FLOW, or a MAX_FLOW flow) on a network beyond its int32 numbering raises ValueError:\n" + "failed call raises with the ledger and the policy unchanged. A solve of the flow core (CentralizedTE\n" + "or ShortestPaths OPTIMIZED) on a network beyond its int32 numbering raises ValueError:\n" "more than INT32_MAX - 2 nodes, or more than 2^30 - 1 edges, sources and destinations together. A\n" "LOSSY forwarding whose losses wait on each other in a cycle raises ValueError when its rounds\n" "alternate between two states or reach the round limit, RuntimeError when the result's check fails.") .def("remove", &FlowPolicy::remove, "revert every flow and hold of the policy, retire the ids, clear the program, open a new epoch") - .def("placed_demand", &FlowPolicy::placed_demand, "the sum of delivered over the policy's live records") + .def("delivered", &FlowPolicy::delivered, "the sum of delivered over the policy's live records") .def( "records", [](const FlowPolicy& p) { return list_of(p.records()); }, "the policy's live records as snapshots in FlowId order") @@ -218,11 +219,11 @@ void register_flow_policy(py::module_& m) { py::arg("offer"), py::kw_only(), py::arg("design_demand") = py::none(), py::arg("outputs") = py::none(), "Recompute from the policy's own released view and forward the full offer, published atomically ->\n" "PlacementResult: the old records and holds are retired (their ids never live again), new ones\n" - "created, and a new epoch starts at this offer (delivery may go down: delivery_delta). CostOnly\n" + "created, and a new epoch starts at this offer (delivery may go down: delivery_delta). ShortestPaths\n" "prepares its routes again; a controller re-solves; T1 sets its tunnels up again for the design and\n" "books their holds; T2 lays its tunnels out again for the design (planned bandwidth, never held);\n" "Pinned forwards its program. design_demand (T1 and T2: int units, or float('inf'); None: equal to\n" - "the offer): T1 needs a finite design (`T1 requires a finite design demand`), T2 takes an unlimited\n" + "the offer): T1 needs a finite design (`DistributedTE requires a finite design demand`), T2 takes an unlimited\n" "one (its largest common size); every other model raises ` does not accept design_demand`.\n" "In this order: the offer, LOSSY's finite offer, then the design demand (the model, its domain,\n" "finiteness).") @@ -241,7 +242,7 @@ void register_flow_policy(py::module_& m) { py::arg("offer"), py::kw_only(), py::arg("black_holes") = py::none(), py::arg("outputs") = py::none(), "Forward a full new offer over the installed program, with no route computation and no setup, on the\n" "released view -> PlacementResult; a new epoch like replace, the program, its plan and T1's holds\n" - "kept (no flag; T1's records are recreated with the same reserved_edges). LOSSLESS admits the\n" + "kept (no flag; T1's records are recreated with the same edge_reservations). LOSSLESS admits the\n" "program's lossless bound up to the offer; LOSSY sends the offer. black_holes (an Eligibility of the\n" "graph): the nodes and edges it excludes are black holes for this call (stale forwarding: traffic\n" "reaching one is dropped there; a black-holed source loses its share). In this order: Pinned raises\n" @@ -249,18 +250,19 @@ void register_flow_policy(py::module_& m) { "the offer; LOSSY +inf `LOSSY forwarding requires a finite offer`; black_holes\n" "of another graph `black_holes belongs to another graph`.") .def_property_readonly( + "program", [](const FlowPolicy& p) { return optional_shared(p.program()); }, "the installed ForwardingProgram; None before the first preparation and after remove()") - .def_property_readonly("config", &FlowPolicy::config, - "the configuration as validated at construction, its absent origin and selection\n" - "resolved to the model's defaults"); + .def_property_readonly("config", [](const FlowPolicy& p) { return typed_object(p.config()); }, + "the configuration as validated at construction, ShortestPaths' absent\n" + "source_allocation and weight_basis resolved to the allocation's defaults"); #if NETGRAPH_CORE_PRIVATE_HOOKS flow_policy .def( "_place_traced", - [](FlowPolicy& p, const py::object& volume, const py::object& outputs) { - const auto v = request_units(volume); + [](FlowPolicy& p, const py::object& offer, const py::object& outputs) { + const auto v = request_units(offer); const auto o = outputs_of(outputs); // As place(): every Python object exists before anything changes; the engine runs the // `staged` callback, which converts the trace, after the work is done and before the @@ -275,13 +277,13 @@ void register_flow_policy(py::module_& m) { PyTuple_SET_ITEM(pair.ptr(), 1, trace_py.release().ptr()); return pair; }, - py::arg("volume"), py::arg("outputs") = py::none(), + py::arg("offer"), py::arg("outputs") = py::none(), "private: place() with the transaction's trace (the call's intermediate values, keyed as\n" "the tests' model of the policy keys them)") .def("_state", &state_obj, "private: the epoch state (roster, requested, +inf, cohorts)") .def( - "_owner", [](const FlowPolicy& p) { return detail::PolicyAccess::engine(p).owner; }, - "private: the ledger-local owner id (FlowRecord.owner)"); + "_owner", [](const FlowPolicy& p) { return detail::PolicyAccess::engine(p).policy_id; }, + "private: the ledger-local owner id (FlowRecord.policy_id)"); #endif } diff --git a/bindings/python/flow_policy_config.cpp b/bindings/python/flow_policy_config.cpp new file mode 100644 index 0000000..4a0e16a --- /dev/null +++ b/bindings/python/flow_policy_config.cpp @@ -0,0 +1,96 @@ +// FlowPolicyConfig and OutputOptions: the configuration of a placement. +#include +#include + +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/flow_policy.hpp" +#include "netgraph/core/options.hpp" +#include "integers.hpp" +#include "strict_bool.hpp" +#include "publication.hpp" +#include "registration.hpp" + +namespace py = pybind11; + +namespace netgraph::core::bindings { + +namespace { + +Routing routing_of(const py::object& obj) { + if (py::isinstance(obj)) return obj.cast(); + if (py::isinstance(obj)) return obj.cast(); + if (py::isinstance(obj)) return obj.cast(); + if (py::isinstance(obj)) return obj.cast(); + throw py::type_error("routing must be ShortestPaths, DistributedTE, CentralizedTE or Pinned (got " + + std::string(py::str(py::type::of(obj).attr("__name__"))) + ")"); +} + +// The routing as a new Python object through the checked allocation (publication.hpp): a failed +// allocation raises instead of crashing. +py::object routing_obj(const Routing& r) { + return std::visit([](const auto& x) { return object_of(x); }, r); +} + +} // namespace + +void register_policy_config(py::module_& m) { + py::class_( + m, "FlowPolicyConfig", + "One demand's settings: the routing model, which holds every option it reads (ShortestPaths,\n" + "DistributedTE (T1), CentralizedTE, CentralizedTE(tunnel_count=...) (T2) or Pinned), and the admission\n" + "(LOSSLESS by default; LOSSY for ShortestPaths EQUAL and WEIGHTED, T1, T2 and Pinned). The\n" + "combination is checked when a policy or an evaluator uses the configuration (ValueError), in\n" + "this order: the enumeration values; the model matrix (route and source allocation, admission,\n" + "the ineffective tie rule, the pooled single-path rule, prefer_headroom, the weight combinations,\n" + "and last a ShortestPathCache on a model that does not read it); the tunnel count, an up_to count\n" + "for DistributedTE, the ceilings, min_unreserved_bandwidth and edge_weights' length and entries;\n" + "the tunnel limit (roster heads times the tunnel count at most 2^30 - 1); a Pinned program's\n" + "endpoints.") + .def(py::init([](const py::object& routing, Admission admission) { + return FlowPolicyConfig {routing_of(routing), admission}; + }), + py::kw_only(), py::arg("routing"), py::arg_v("admission", Admission::Lossless, "Admission.LOSSLESS")) + .def_property_readonly( + "routing", [](const FlowPolicyConfig& c) { return routing_obj(c.routing); }, + "the routing model: ShortestPaths, DistributedTE, CentralizedTE or Pinned") + .def_property_readonly("admission", field_object(&FlowPolicyConfig::admission), "LOSSLESS or LOSSY") + .def("__repr__", [](const FlowPolicyConfig& c) { + return "FlowPolicyConfig(routing=" + std::string(py::repr(routing_obj(c.routing))) + ", admission=" + + (c.admission == Admission::Lossy ? "Admission.LOSSY" : "Admission.LOSSLESS") + ")"; + }); + + py::class_(m, "OutputOptions", + "Optional outputs of a placement (all false by default; absent outputs are None):\n" + "edge_flows (the policy's own allocation per edge after the call), residual and\n" + "saturated_boundary_edges (the ledger's after the call), edge_reservations (the policy's own\n" + "strict holds per edge after the call; zeros for a model without holds), and min_cut (CentralizedTE with\n" + "the optimized source allocation, when its solve reached the maximum flow; None for every other\n" + "model, source allocation or call).") + .def(py::init([](StrictBool edge_flows, StrictBool residual, StrictBool saturated_boundary_edges, StrictBool edge_reservations, + StrictBool min_cut) { + OutputOptions o; + o.edge_flows = edge_flows; + o.residual = residual; + o.saturated_boundary_edges = saturated_boundary_edges; + o.edge_reservations = edge_reservations; + o.min_cut = min_cut; + return o; + }), + py::kw_only(), py::arg("edge_flows") = StrictBool {false}, py::arg("residual") = StrictBool {false}, + py::arg("saturated_boundary_edges") = StrictBool {false}, py::arg("edge_reservations") = StrictBool {false}, + py::arg("min_cut") = StrictBool {false}) + .def_readonly("edge_flows", &OutputOptions::edge_flows, "request PlacementResult.edge_flows") + .def_readonly("residual", &OutputOptions::residual, "request PlacementResult.residual") + .def_readonly("saturated_boundary_edges", &OutputOptions::saturated_boundary_edges, "request PlacementResult.saturated_boundary_edges") + .def_readonly("edge_reservations", &OutputOptions::edge_reservations, + "request PlacementResult.edge_reservations") + .def_readonly("min_cut", &OutputOptions::min_cut, "request PlacementResult.min_cut"); +} + +} // namespace netgraph::core::bindings diff --git a/bindings/python/flow_record.cpp b/bindings/python/flow_record.cpp index 7f779d3..d714018 100644 --- a/bindings/python/flow_record.cpp +++ b/bindings/python/flow_record.cpp @@ -7,7 +7,7 @@ #include #include "netgraph/core/flow_record.hpp" -#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/route_structures.hpp" #include "values.hpp" #include "publication.hpp" #include "registration.hpp" @@ -25,31 +25,33 @@ py::object cost_or_none(Cost c) { return c == kUnreachable ? py::object(py::none void register_flow_record(py::module_& m) { py::class_( m, "FlowRecord", - "One flow of a ledger, as a snapshot: flow_id (ledger uid, id), owner (the policy's id),\n" - "sources, destinations, admission, entry (a T1, T2 or Pinned policy's program entry, else None), bundle\n" - "(PredDAG: the flow's route),\n" - "route_cost (its minimum walk cost; None when empty), offered (Lossy only, else None),\n" - "delivered, edges [(EdgeId, units)] (carried load) and drops [(EdgeId, units)] (cumulative,\n" - "ascending EdgeId), reserved_edges [(EdgeId, units)] (T1's strict holds, ascending EdgeId). offered\n" - "and the drops units are exact Python ints (they may exceed 64 bits).") + "One flow of a ledger, as a snapshot: flow_id (ledger uid, id), policy_id (the policy's id),\n" + "sources, destinations, admission, entry_id (a T1, T2 or Pinned policy's program entry, else None),\n" + "route (PredecessorDAG: the flow's route), min_route_cost (its minimum walk cost; None when empty),\n" + "offered (Lossy only, else None), delivered, edge_flows [(EdgeId, units)] (carried load) and\n" + "edge_drops [(EdgeId, units)] (cumulative, ascending EdgeId), edge_reservations [(EdgeId, units)]\n" + "(T1's strict holds, ascending EdgeId). offered and the edge_drops units are exact Python ints (they\n" + "may exceed 64 bits).") .def_property_readonly( + "flow_id", [](const FlowRecord& r) { return py::make_tuple(r.flow_id.first, r.flow_id.second); }, "(ledger uid, id): ids are assigned in creation order and never reused in the ledger") - .def_readonly("owner", &FlowRecord::owner, "the ledger-local id of the policy that created the flow") + .def_readonly("policy_id", &FlowRecord::policy_id, "the ledger-local id of the policy that created the flow") .def_readonly("sources", &FlowRecord::sources, "the flow's source node ids, ascending") .def_readonly("destinations", &FlowRecord::destinations, "the flow's destination node ids, ascending") - .def_readonly("admission", &FlowRecord::admission, "LOSSLESS or LOSSY") - .def_readonly("entry", &FlowRecord::entry, + .def_property_readonly("admission", field_object(&FlowRecord::admission), "LOSSLESS or LOSSY") + .def_readonly("entry_id", &FlowRecord::entry_id, "the program entry the record carries (T1, T2 and Pinned: the entry identifier); None for the\n" - "records kept per roster source (CostOnly, Global)") + "records kept per roster source (ShortestPaths, CentralizedTE)") .def_property_readonly( - "bundle", [](const FlowRecord& r) { return typed_shared(r.bundle); }, - "the flow's route (an immutable PredDAG shared with the ledger)") + "route", [](const FlowRecord& r) { return typed_shared(r.route); }, + "the flow's route (an immutable PredecessorDAG shared with the ledger)") .def_property_readonly( - "route_cost", [](const FlowRecord& r) { return cost_or_none(r.route_cost); }, - "the cost of the cheapest walk of the bundle from the sources to the destinations; None when\n" - "the bundle has no such walk") + "min_route_cost", [](const FlowRecord& r) { return cost_or_none(r.min_route_cost); }, + "the cost of the cheapest walk of the route from the sources to the destinations; None when\n" + "the route has no such walk") .def_property_readonly( + "offered", [](const FlowRecord& r) -> py::object { return r.offered.has_value() ? counter_int(*r.offered) : py::object(py::none()); @@ -58,24 +60,24 @@ void register_flow_record(py::module_& m) { "None for a Lossless flow") .def_readonly("delivered", &FlowRecord::delivered, "the units the flow delivers to its destinations (its total)") .def_property_readonly( - "edges", [](const FlowRecord& r) { return pairs_list(r.edges); }, + "edge_flows", [](const FlowRecord& r) { return pairs_list(r.edge_flows); }, "the flow's allocation [(EdgeId, units)], positive entries in ascending EdgeId") .def_property_readonly( - "drops", + "edge_drops", [](const FlowRecord& r) { py::list out; - for (const auto& [e, x] : r.drops) out.append(py::make_tuple(e, counter_int(x))); + for (const auto& [e, x] : r.edge_drops) out.append(py::make_tuple(e, counter_int(x))); return out; }, "Lossy: the units dropped per edge [(EdgeId, units)], summed over calls, positive entries in\n" "ascending EdgeId (exact ints); empty for a Lossless flow") .def_property_readonly( - "reserved_edges", [](const FlowRecord& r) { return pairs_list(r.reserved_edges); }, + "edge_reservations", [](const FlowRecord& r) { return pairs_list(r.edge_reservations); }, "T1: the strict holds of an up tunnel [(EdgeId, units)], its request on every link of its path,\n" "ascending EdgeId; empty for every other record (holds never police traffic)") .def("__repr__", [](const FlowRecord& r) { return "FlowRecord(flow_id=(" + std::to_string(r.flow_id.first) + ", " + std::to_string(r.flow_id.second) + - "), owner=" + std::to_string(r.owner) + ", delivered=" + std::to_string(r.delivered) + ")"; + "), policy_id=" + std::to_string(r.policy_id) + ", delivered=" + std::to_string(r.delivered) + ")"; }); } diff --git a/bindings/python/recorder.cpp b/bindings/python/flow_solver_hook.cpp similarity index 88% rename from bindings/python/recorder.cpp rename to bindings/python/flow_solver_hook.cpp index 0faea8a..7b265c0 100644 --- a/bindings/python/recorder.cpp +++ b/bindings/python/flow_solver_hook.cpp @@ -1,4 +1,4 @@ -// The private entry _place_global_units, registered in both builds: the flow core's +// The private entry _solve_min_cost_flow, registered in both builds: the flow core's // minimum-cost flow from zero on a given view, with its full payload for the flow checks. #include #include @@ -11,7 +11,7 @@ #include #include "netgraph/core/detail/endpoints.hpp" -#include "netgraph/core/detail/flow_core.hpp" +#include "netgraph/core/detail/min_cost_flow.hpp" #include "netgraph/core/eligibility.hpp" #include "netgraph/core/graph.hpp" #include "integers.hpp" @@ -31,9 +31,9 @@ py::list int_list(const std::vector& v) { } // namespace -void register_recorder(py::module_& m) { +void register_flow_solver_hook(py::module_& m) { m.def( - "_place_global_units", + "_solve_min_cost_flow", [](const std::shared_ptr& graph, const py::object& view, const py::object& sources, const py::object& destinations, const std::shared_ptr& elig, const py::object& cap) -> py::dict { @@ -58,22 +58,22 @@ void register_recorder(py::module_& m) { } c = static_cast(value); } - detail::FlowCoreResult r; + detail::MinCostFlowResult r; { py::gil_scoped_release release; const auto view_units = v.narrow(); - r = detail::place_global_units(*graph, view_units, s, d, elig.get(), c); + r = detail::solve_min_cost_flow(*graph, view_units, s, d, elig.get(), c); } py::dict out; - out["placed"] = py::int_(r.placed); + out["flow_value"] = py::int_(r.flow_value); py::list curve; - for (const auto& [cost, units] : r.cost_distribution) { + for (const auto& [cost, units] : r.marginal_cost_curve) { py::list entry; entry.append(py::int_(cost)); entry.append(py::int_(units)); curve.append(entry); } - out["cost_distribution"] = curve; + out["marginal_cost_curve"] = curve; out["edge_flows"] = int_list(r.edge_flows); if (r.min_cut.has_value()) { py::list cut; @@ -93,11 +93,11 @@ void register_recorder(py::module_& m) { out["counters"] = counters; return out; }, - py::arg("graph"), py::arg("view"), py::arg("sources"), py::arg("destinations"), py::arg("elig"), + py::arg("graph"), py::arg("view"), py::arg("sources"), py::arg("destinations"), py::arg("eligibility"), py::arg("cap"), "Private flow-core entry: the largest flow up to cap (None: no cap) from the source set to the\n" "destination set over the eligible edges, sent at the lowest total cost, on the capacities `view`\n" - "(int64 units, EdgeId order), starting from zero flow. Returns {placed, cost_distribution:\n" + "(int64 units, EdgeId order), starting from zero flow. Returns {flow_value, marginal_cost_curve:\n" "[[cost, units]], edge_flows, min_cut (None while the destinations are still reachable, because\n" "the cap stopped the solve, and on cap 0), potentials (per-node prices from the shortest-path runs\n" "that prove the flow is cheapest; -1 = never reached), counters}. Invalid inputs raise ValueError\n" diff --git a/bindings/python/forwarding_program.cpp b/bindings/python/forwarding_program.cpp new file mode 100644 index 0000000..018967a --- /dev/null +++ b/bindings/python/forwarding_program.cpp @@ -0,0 +1,267 @@ +// Forwarding programs: TunnelStatus, Tunnel, RouteDefinition and ForwardingProgram with from_routes and from_dag. +#include +#include +#include + +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/endpoints.hpp" +#include "netgraph/core/detail/program_data.hpp" +#include "netgraph/core/graph.hpp" +#include "netgraph/core/route_structures.hpp" +#include "netgraph/core/forwarding_program.hpp" +#include "integers.hpp" +#include "values.hpp" +#include "publication.hpp" +#include "registration.hpp" + +namespace py = pybind11; + +namespace netgraph::core::bindings { + +namespace { + +py::typing::Union route_obj(const RouteDefinition& r) { + py::object out = std::holds_alternative>(r.route) + ? shared_object(std::get>(r.route)) + : shared_object(std::get>(r.route)); + return py::reinterpret_steal>(out.release()); +} + + +// A per-edge integer argument of from_routes read without narrowing (its type defects raise +// here); its values are checked later, in the order of the call's validation. +std::optional wide_or_none(const py::object& obj, const char* name) { + if (obj.is_none()) return std::nullopt; + (void)sequence_length(obj, name); + return wide_integers(obj, name); +} + +} // namespace + +void register_program(py::module_& m) { + py::enum_(m, "TunnelStatus", + "A tunnel's state. UP; INSUFFICIENT_BANDWIDTH and COST_CEILING_EXCEEDED: T1's setup left it down (no path\n" + "passes the bandwidth filter, or the cheapest exceeds the cost ceiling): no path, weight 0, and it\n" + "stays down in every forwarding of its program; and in one forwarding only (a by_tunnel row)\n" + "FAILED: its path touches a node or an edge the forwarding policy's Eligibility excludes, so it\n" + "gets nothing and its head splits over its other entries (replay), and BLACKHOLED: up, but its\n" + "path reaches a black hole of stale forwarding, where its traffic is dropped.") + .value("UP", TunnelStatus::Up) + .value("INSUFFICIENT_BANDWIDTH", TunnelStatus::InsufficientBandwidth) + .value("COST_CEILING_EXCEEDED", TunnelStatus::CostCeilingExceeded) + .value("FAILED", TunnelStatus::Failed) + .value("BLACKHOLED", TunnelStatus::Blackholed); + + py::class_(m, "Tunnel", + "One tunnel (a path entry) of a ForwardingProgram, read-only. entry_id: the entry identifier (T1 and\n" + "T2: j*H + i for round j and roster position i, T2's dead heads leaving holes; CentralizedTE and ShortestPaths\n" + "OPTIMIZED: the path's position in the decomposition order; supplied routes: the route's position in\n" + "the list), never a position in program.tunnels; head; local_index: its position among the head's entries of both kinds;\n" + "destination: where its path ends; edges: its EdgeIds in path order; path_cost: the sum of their\n" + "costs (all three None for a tunnel that is down); status: UP, INSUFFICIENT_BANDWIDTH or\n" + "COST_CEILING_EXCEEDED; requested_bandwidth and reserved_bandwidth: T1's strict bandwidth (its request,\n" + "and what it holds on every link of its path: the request when UP, else 0; 0 for the other models);\n" + "planned_bandwidth: T2's planned bandwidth\n" + "u (metadata, never held; 0 for the other models); weight: its integer share among the head's\n" + "entries (T1: 1 up, 0 down; T2: 1; a controller path: its solved amount).") + .def_readonly("entry_id", &Tunnel::entry_id) + .def_readonly("head", &Tunnel::head) + .def_readonly("local_index", &Tunnel::local_index) + .def_readonly("destination", &Tunnel::destination) + .def_property_readonly( + + "edges", + [](const Tunnel& t) -> py::object { + return t.edges.has_value() ? py::object(py::tuple(py::cast(*t.edges))) : py::object(py::none()); + }, + "the path's EdgeIds in path order; None for a tunnel that is down") + .def_readonly("path_cost", &Tunnel::path_cost) + .def_property_readonly("status", [](const Tunnel& t) { return typed_object(t.status); }) + .def_readonly("requested_bandwidth", &Tunnel::requested_bandwidth) + .def_readonly("reserved_bandwidth", &Tunnel::reserved_bandwidth) + .def_readonly("planned_bandwidth", &Tunnel::planned_bandwidth) + .def_readonly("weight", &Tunnel::weight) + .def("__repr__", [](const Tunnel& t) { + return "Tunnel(entry_id=" + std::to_string(t.entry_id) + ", head=" + std::to_string(t.head) + + ", weight=" + std::to_string(t.weight) + ")"; + }); + + py::class_(m, "RouteDefinition", + "A supplied route for ForwardingProgram.from_routes: a Path with one edge per hop (a tunnel) or a\n" + "PredecessorDAG (a split route) starting at `head`; weight is its integer share among the head's routes\n" + "(0 allowed: it carries nothing). from_routes validates it.") + .def(py::init([](const py::object& head, const py::object& route, const py::object& weight) { + RouteDefinition r; + r.head = static_cast(integer_value(head, std::numeric_limits::min(), + std::numeric_limits::max(), "head", + IntegerArgument::Configuration)); + if (py::isinstance(route)) { + r.route = std::shared_ptr(route.cast>()); + } else if (py::isinstance(route)) { + r.route = std::shared_ptr(route.cast>()); + } else { + throw py::type_error("RouteDefinition route must be a Path or a PredecessorDAG (got " + + std::string(py::str(py::type::of(route).attr("__name__"))) + ")"); + } + r.weight = integer_value(weight, std::numeric_limits::min(), std::numeric_limits::max(), + "weight", IntegerArgument::Configuration); + return r; + }), + py::arg("head"), py::arg("route"), py::kw_only(), py::arg("weight") = 1, + "RouteDefinition(head, route, *, weight=1): head a NodeId, route a Path or a PredecessorDAG (TypeError\n" + "otherwise), weight an integer (checked in [0, 2^62) by from_routes).") + .def_readonly("head", &RouteDefinition::head, "the route's head (a source of the program)") + .def_property_readonly("route", &route_obj, "the Path (a tunnel) or the PredecessorDAG (a split route)") + .def_readonly("weight", &RouteDefinition::weight, "the route's integer share among the head's routes") + .def("__repr__", [](const RouteDefinition& r) { + return "RouteDefinition(head=" + std::to_string(r.head) + ", weight=" + std::to_string(r.weight) + ")"; + }); + + py::class_>( + m, "ForwardingProgram", + "An immutable value: one demand's routes and integer weights. sources and destinations (the normalized\n" + "sets); tunnels: the path entries in ascending index (split routes are not listed); source_weights: the\n" + "captured source supplies ((source, weight) for every roster source, ascending) of the optimized\n" + "controllers, None for equal sources (round robin over the roster). Each head splits its share by\n" + "highest averages over its entries' weights; identical routes are never merged. ShortestPaths and CentralizedTE\n" + "produce one (FlowPolicy.program, PlacementResult.program), and so do T1 and T2 (their tunnels);\n" + "from_routes builds one from given routes; Pinned forwards one. No public constructor.") + .def_property_readonly( + + "sources", [](const ForwardingProgram& p) { return ints_tuple(p.sources()); }, "the source set, ascending") + .def_property_readonly( + + "destinations", [](const ForwardingProgram& p) { return ints_tuple(p.destinations()); }, + "the destination set, ascending") + .def_property_readonly( + + "tunnels", + [](const ForwardingProgram& p) { + const auto t = p.tunnels(); + return tuple_of(std::vector(t.begin(), t.end())); + }, + "the program's tunnels (Tunnel), ascending index") + .def_property_readonly( + + "source_weights", + [](const ForwardingProgram& p) -> py::object { + const auto& w = p.source_weights(); + if (!w.has_value()) return py::none(); + py::tuple out(w->size()); + for (std::size_t i = 0; i < w->size(); ++i) out[i] = py::make_tuple((*w)[i].first, (*w)[i].second); + return out; + }, + "the captured source weights ((source, weight), ascending), or None for equal sources") + .def_static( + "from_routes", + [](const std::shared_ptr& graph, const py::object& sources, const py::object& destinations, + const py::object& routes, std::optional allocation, std::optional weight_basis, + const py::object& edge_weights, const py::object& residual) { + if (!graph) throw py::value_error("graph must be a Graph"); + // Conversion first (TypeError and integer type defects), then the validation order of + // from_routes; the values beyond int64 are checked here in that order. + if (is_invalid_sequence(routes)) throw py::type_error("routes must be a sequence of RouteDefinition"); + std::vector rs; + for (const auto& item : py::reinterpret_borrow(routes)) { + if (!py::isinstance(item)) throw py::type_error("routes must be a sequence of RouteDefinition"); + rs.push_back(item.cast()); + } + const auto ew = wide_or_none(edge_weights, "edge_weights"); + const auto rw = wide_or_none(residual, "residual"); + const auto n = graph->num_nodes(); + const auto s = detail::node_set(node_ids(sources, n, "sources"), n, "sources"); + const auto d = detail::node_set(node_ids(destinations, n, "destinations"), n, "destinations"); + detail::check_disjoint(s, d, "sources", "destinations"); + if (rs.empty()) throw py::value_error("routes must not be empty"); + bool any_dag = false; + for (const auto& r : rs) any_dag = any_dag || std::holds_alternative>(r.route); + detail::check_route_options("from_routes", any_dag, allocation, weight_basis, ew.has_value(), rw.has_value()); + RouteOptions options; + options.allocation = allocation; + options.weight_basis = weight_basis; + const auto E = static_cast(graph->num_edges()); + if (ew.has_value()) { + if (ew->size() != E) throw py::value_error("edge_weights: expected " + std::to_string(E) + " entries"); + for (std::size_t e = 0; e < E; ++e) { + if (!ew->in(e, 0, kDomainLimit - 1)) { + throw py::value_error("edge_weights[" + std::to_string(e) + "] must be an integer in [0, 2^62)"); + } + } + options.edge_weights = ew->narrow(); + } + if (rw.has_value()) options.residual = edge_amounts(residual, *graph, "residual", "residual (units)").narrow(); + return typed_shared(ForwardingProgram::from_routes(*graph, s, d, rs, options)); + }, + py::arg("graph"), py::arg("sources"), py::arg("destinations"), py::arg("routes"), py::kw_only(), + py::arg("allocation") = py::none(), py::arg("weight_basis") = py::none(), py::arg("edge_weights") = py::none(), + py::arg("residual") = py::none(), + "Validate and freeze supplied routes -> ForwardingProgram (ValueError for the first failure, in this\n" + "order): the endpoint sets; `routes must not be empty`; when no route is a PredecessorDAG, any option given\n" + "(` applies only to PredecessorDAG routes`); allocation\n" + "OPTIMIZED (`from_routes allocation must be EQUAL or WEIGHTED`); weight_basis only with allocation=WEIGHTED,\n" + "EXPLICIT with edge_weights, RESIDUAL_SNAPSHOT with residual; edge_weights' length and entries in [0,\n" + "2^62) and residual's (one entry per edge in [0, capacity]); then each route in list order: its\n" + "route's graph, its head a source, a Path with one edge per hop that starts at the head, ends at a\n" + "destination and meets none before, a PredecessorDAG with a walk from the head to a destination, its weight\n" + "in [0, 2^62). Order and duplicates are kept; a route of weight 0 is validated in full. allocation\n" + "(None: EQUAL) is the interior split of the PredecessorDAG routes; each split route is its own\n" + "split context (a router splits only that route's share). The roster is the sources with a route.") + .def_static( + "from_dag", + [](const std::shared_ptr& graph, const py::object& sources, const py::object& destinations, + const py::object& dag, std::optional allocation, std::optional weight_basis, + const py::object& edge_weights, const py::object& residual) { + if (!graph) throw py::value_error("graph must be a Graph"); + // Conversion first (TypeError and integer type defects), then the validation order of + // from_dag; the values beyond int64 are checked here in that order. + if (!py::isinstance(dag)) { + throw py::type_error("dag must be a PredecessorDAG (got " + std::string(py::str(py::type::of(dag).attr("__name__"))) + + ")"); + } + const auto shared_dag = dag.cast>(); + const auto ew = wide_or_none(edge_weights, "edge_weights"); + const auto rw = wide_or_none(residual, "residual"); + const auto n = graph->num_nodes(); + const auto s = detail::node_set(node_ids(sources, n, "sources"), n, "sources"); + const auto d = detail::node_set(node_ids(destinations, n, "destinations"), n, "destinations"); + detail::check_disjoint(s, d, "sources", "destinations"); + if (shared_dag->graph_uid() != graph->uid()) throw py::value_error("dag belongs to another graph"); + detail::check_route_options("from_dag", true, allocation, weight_basis, ew.has_value(), rw.has_value()); + RouteOptions options; + options.allocation = allocation; + options.weight_basis = weight_basis; + const auto E = static_cast(graph->num_edges()); + if (ew.has_value()) { + if (ew->size() != E) throw py::value_error("edge_weights: expected " + std::to_string(E) + " entries"); + for (std::size_t e = 0; e < E; ++e) { + if (!ew->in(e, 0, kDomainLimit - 1)) { + throw py::value_error("edge_weights[" + std::to_string(e) + "] must be an integer in [0, 2^62)"); + } + } + options.edge_weights = ew->narrow(); + } + if (rw.has_value()) options.residual = edge_amounts(residual, *graph, "residual", "residual (units)").narrow(); + return typed_shared(ForwardingProgram::from_dag(*graph, s, d, shared_dag, options)); + }, + py::arg("graph"), py::arg("sources"), py::arg("destinations"), py::arg("dag"), py::kw_only(), + py::arg("allocation") = py::none(), py::arg("weight_basis") = py::none(), py::arg("edge_weights") = py::none(), + py::arg("residual") = py::none(), + "One shared hop-by-hop program on a supplied PredecessorDAG of the graph -> ForwardingProgram: the sources\n" + "allocated equally and pooled at every shared router exactly as ShortestPaths EQUAL/WEIGHTED (one\n" + "split context), the DAG trimmed to the walks from each source to its first destinations. ValueError for\n" + "the first failure, in this order: the endpoint sets; `dag belongs to another graph`; allocation OPTIMIZED\n" + "(`from_dag allocation must be EQUAL or WEIGHTED`); weight_basis only with allocation=WEIGHTED, EXPLICIT\n" + "with edge_weights, RESIDUAL_SNAPSHOT with residual; edge_weights' length and entries in [0, 2^62) and\n" + "residual's (one entry per edge in [0, capacity]). A dag of another type raises TypeError. The roster is\n" + "the sources that reach a destination in the DAG (possibly none): one split route per roster source,\n" + "identified by roster position, no tunnel; a replay rebuilds the roster on the DAG."); +} + +} // namespace netgraph::core::bindings diff --git a/bindings/python/graph.cpp b/bindings/python/graph.cpp index 3db326e..7e613a5 100644 --- a/bindings/python/graph.cpp +++ b/bindings/python/graph.cpp @@ -23,24 +23,24 @@ namespace { // The unit-value step on the capacity argument whatever its shape (the shape step comes next): // every integer entry it holds must lie in [0, 2^62). A NumPy array is read flattened; nested // entries of a Python sequence and a non-integer non-sequence are left to the shape step. -void check_unit_values(const py::handle& capacity_units) { +void check_unit_values(const py::handle& edge_capacity_units) { const auto out_of_domain = [](const std::string& what, const std::string& value) { return py::value_error(what + " = " + value + " is outside the units domain [0, 2^62)"); }; - if (py::isinstance(capacity_units)) { - py::object flat = capacity_units.attr("ravel")(); - const auto w = wide_integers(flat, "capacity_units"); + if (py::isinstance(edge_capacity_units)) { + py::object flat = edge_capacity_units.attr("ravel")(); + const auto w = wide_integers(flat, "edge_capacity_units"); for (std::size_t i = 0; i < w.size(); ++i) { - if (!w.in(i, 0, kDomainLimit - 1)) throw out_of_domain("capacity_units[" + std::to_string(i) + "]", w.text(i)); + if (!w.in(i, 0, kDomainLimit - 1)) throw out_of_domain("edge_capacity_units[" + std::to_string(i) + "]", w.text(i)); } return; } - if (!not_a_sequence(capacity_units)) { - auto seq = py::reinterpret_borrow(capacity_units); + if (!is_invalid_sequence(edge_capacity_units)) { + auto seq = py::reinterpret_borrow(edge_capacity_units); for (std::size_t i = 0; i < seq.size(); ++i) { py::object item = seq[i]; if (is_nested(item)) continue; - const std::string what = "capacity_units[" + std::to_string(i) + "]"; + const std::string what = "edge_capacity_units[" + std::to_string(i) + "]"; py::object idx = python_int(item, what); int overflow = 0; const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); @@ -48,46 +48,46 @@ void check_unit_values(const py::handle& capacity_units) { } return; } - if (!is_bool(capacity_units) && PyIndex_Check(capacity_units.ptr())) { - py::object idx = python_int(capacity_units, "capacity_units"); + if (!is_bool(edge_capacity_units) && PyIndex_Check(edge_capacity_units.ptr())) { + py::object idx = python_int(edge_capacity_units, "edge_capacity_units"); int overflow = 0; const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); - if (overflow != 0 || v < 0 || v >= kDomainLimit) throw out_of_domain("capacity_units", std::string(py::str(idx))); + if (overflow != 0 || v < 0 || v >= kDomainLimit) throw out_of_domain("edge_capacity_units", std::string(py::str(idx))); } } -std::shared_ptr make_graph(const py::object& num_nodes, const py::object& src, - const py::object& dst, const py::object& capacity_units, +std::shared_ptr make_graph(const py::object& num_nodes, const py::object& source, + const py::object& destination, const py::object& edge_capacity_units, const py::object& cost, double resolution) { // The constructor's validation order: the resolution, the unit values, the shapes, zero or // negative costs, the remaining bounds (ids in range, then the sums); every value is read // without narrowing, and the messages are the C++ constructor's, which re-checks the same order. (void)resolution_exponent(resolution); - check_unit_values(capacity_units); + check_unit_values(edge_capacity_units); // The shapes: num_nodes, then every array argument rank 1 (in signature order), then equal - // lengths; no entry of src, dst or cost is read before the cost step. + // lengths; no entry of source, destination or cost is read before the cost step. const auto n = integer_value(num_nodes, 0, std::numeric_limits::max(), "num_nodes"); - const std::size_t m = sequence_length(src, "src"); - const std::size_t md = sequence_length(dst, "dst"); - const std::size_t mu = sequence_length(capacity_units, "capacity_units"); - const std::size_t mc = sequence_length(cost, "cost"); + const std::size_t m = sequence_length(source, "edge_sources"); + const std::size_t md = sequence_length(destination, "edge_destinations"); + const std::size_t mu = sequence_length(edge_capacity_units, "edge_capacity_units"); + const std::size_t mc = sequence_length(cost, "edge_costs"); if (md != m || mu != m || mc != m) { - throw py::value_error("src, dst, capacity_units and cost must have the same length (got " + + throw py::value_error("edge_sources, edge_destinations, edge_capacity_units and edge_costs must have the same length (got " + std::to_string(m) + ", " + std::to_string(md) + ", " + std::to_string(mu) + ", " + std::to_string(mc) + ")"); } - const auto cap = wide_integers(capacity_units, "capacity_units"); // rank 1, values checked + const auto cap = wide_integers(edge_capacity_units, "edge_capacity_units"); // rank 1, values checked if (m > static_cast(std::numeric_limits::max())) { throw py::value_error("the number of edges exceeds INT32_MAX (array length)"); } - const auto w = wide_integers(cost, "cost"); + const auto w = wide_integers(cost, "edge_costs"); for (std::size_t i = 0; i < m; ++i) { if (w.sign(i) < 0 || (w.sign(i) == 0 && w.value[i] < 1)) { - throw py::value_error("cost[" + std::to_string(i) + "] = " + w.text(i) + ": costs must be positive (cost >= 1)"); + throw py::value_error("edge_costs[" + std::to_string(i) + "] = " + w.text(i) + ": costs must be positive (edge_costs >= 1)"); } } - const auto s = wide_integers(src, "src"); - const auto d = wide_integers(dst, "dst"); + const auto s = wide_integers(source, "edge_sources"); + const auto d = wide_integers(destination, "edge_destinations"); for (std::size_t i = 0; i < m; ++i) { if (!s.in(i, 0, n - 1) || !d.in(i, 0, n - 1)) { throw py::value_error("edge " + std::to_string(i) + ": endpoint (" + s.text(i) + ", " + d.text(i) + @@ -121,13 +121,13 @@ void register_graph(py::module_& m) { py::class_>( m, "Graph", "Immutable directed multigraph on integer units (parallel edges and self-loops allowed). Edges are\n" - "given in input order and numbered by sorting on (src, cost, dst), ties kept in input order: that\n" - "number is the public EdgeId. input_index()[e] is the input position of edge e. Per-edge values\n" - "use EdgeId order; in_adj_edge_index() instead lists EdgeIds in incoming-slot order. Costs are\n" - "positive integers; capacities are int64 units of the explicit resolution q (a power of two in\n" - "[2^-32, 2^32]); physical capacities enter through to_units.") - .def(py::init(&make_graph), py::arg("num_nodes"), py::arg("src"), py::arg("dst"), - py::arg("capacity_units"), py::arg("cost"), py::arg("resolution"), + "given in input order and numbered by sorting on (source, cost, destination), ties kept in input\n" + "order: that number is the public EdgeId. input_positions()[e] is the input position of edge e.\n" + "Per-edge values use EdgeId order; incoming_edges() instead lists EdgeIds in incoming-slot order.\n" + "Costs are positive integers; capacities are int64 units of the explicit resolution q (a power of\n" + "two in [2^-32, 2^32]); physical capacities enter through to_units.") + .def(py::init(&make_graph), py::arg("num_nodes"), py::arg("edge_sources"), py::arg("edge_destinations"), + py::arg("edge_capacity_units"), py::arg("edge_costs"), py::arg("resolution"), "Validates, in order, and reports the first defect as ValueError: the resolution (a power of\n" "two in [2^-32, 2^32]), the unit values (every capacity in [0, 2^62)), the array shapes,\n" "zero or negative costs, the remaining bounds (endpoints in range, then the\n" @@ -137,56 +137,56 @@ void register_graph(py::module_& m) { .def("resolution", &Graph::resolution, "the resolution q (units of capacity)") .def("num_nodes", &Graph::num_nodes, "N: node ids are 0 .. N - 1") .def("num_edges", &Graph::num_edges, "E: EdgeIds are 0 .. E - 1") - .def("max_cost", &Graph::max_cost, "largest edge cost (0 without edges)") - .def("cost_gcd", &Graph::cost_gcd, "gcd of the edge costs (0 without edges)") + .def("max_edge_cost", &Graph::max_edge_cost, "largest edge cost (0 without edges)") + .def("edge_cost_gcd", &Graph::edge_cost_gcd, "gcd of the edge costs (0 without edges)") .def( - "capacity_units", [](const py::object& self) { + "edge_capacity_units", [](const py::object& self) { const auto& g = self.cast(); - return readonly_view(g.capacity_units(), self); + return readonly_view(g.edge_capacity_units(), self); }, "int64[E] capacities in units, id order (read-only view)") .def( - "cost", [](const py::object& self) { + "edge_costs", [](const py::object& self) { const auto& g = self.cast(); - return readonly_view(g.cost(), self); + return readonly_view(g.edge_costs(), self); }, "int64[E] costs, id order (read-only view)") .def( - "edge_src", [](const py::object& self) { + "edge_sources", [](const py::object& self) { const auto& g = self.cast(); - return readonly_view(g.edge_src(), self); + return readonly_view(g.edge_sources(), self); }, "int32[E] source node per edge (read-only view)") .def( - "edge_dst", [](const py::object& self) { + "edge_destinations", [](const py::object& self) { const auto& g = self.cast(); - return readonly_view(g.edge_dst(), self); + return readonly_view(g.edge_destinations(), self); }, "int32[E] destination node per edge (read-only view)") .def( - "input_index", [](const py::object& self) { + "input_positions", [](const py::object& self) { const auto& g = self.cast(); - return readonly_view(g.input_index(), self); + return readonly_view(g.input_positions(), self); }, "int32[E]: EdgeId -> input position (read-only view); build the inverse yourself if needed") .def( - "row_offsets", [](const py::object& self) { + "outgoing_offsets", [](const py::object& self) { const auto& g = self.cast(); - return readonly_view(g.row_offsets(), self); + return readonly_view(g.outgoing_offsets(), self); }, - "int32[N + 1]: the out-edges of u are the ids [row_offsets[u], row_offsets[u + 1])") + "int32[N + 1]: the out-edges of u are the ids [outgoing_offsets()[u], outgoing_offsets()[u + 1])") .def( - "in_row_offsets", [](const py::object& self) { + "incoming_offsets", [](const py::object& self) { const auto& g = self.cast(); - return readonly_view(g.in_row_offsets(), self); + return readonly_view(g.incoming_offsets(), self); }, - "int32[N + 1]: the in-edges of v are in_adj_edge_index()[in_row_offsets[v] : in_row_offsets[v + 1]]") + "int32[N + 1]: the in-edges of v are incoming_edges()[incoming_offsets()[v] : incoming_offsets()[v + 1]]") .def( - "in_adj_edge_index", [](const py::object& self) { + "incoming_edges", [](const py::object& self) { const auto& g = self.cast(); - return readonly_view(g.in_adj_edge_index(), self); + return readonly_view(g.incoming_edges(), self); }, - "int32[E]: the in-edges of v in (cost, src, input) order, as EdgeIds") + "int32[E]: the in-edges of v in (cost, source, input) order, as EdgeIds") .def( "eligibility", [](const Graph& g, const py::object& excluded_nodes, const py::object& excluded_edges) { diff --git a/bindings/python/hooks.cpp b/bindings/python/hooks.cpp index 9ce8a98..55e08e9 100644 --- a/bindings/python/hooks.cpp +++ b/bindings/python/hooks.cpp @@ -14,7 +14,7 @@ #include #include -#include "netgraph/core/detail/kernels.hpp" +#include "netgraph/core/detail/route_kernels.hpp" #include "netgraph/core/detail/private_hooks.hpp" #include "netgraph/core/flow_policy.hpp" #include "netgraph/core/types.hpp" diff --git a/bindings/python/integers.hpp b/bindings/python/integers.hpp index d5b7a21..d71e0b3 100644 --- a/bindings/python/integers.hpp +++ b/bindings/python/integers.hpp @@ -20,31 +20,47 @@ #include "netgraph/core/detail/endpoints.hpp" #include "netgraph/core/graph.hpp" #include "netgraph/core/types.hpp" +#include "strict_bool.hpp" namespace py = pybind11; namespace netgraph::core::bindings { +// A Python bool or a numpy.bool_, by type identity (as StrictBool reads them). inline bool is_bool(const py::handle& obj) { - return PyBool_Check(obj.ptr()) || py::isinstance(obj, py::module_::import("numpy").attr("bool_")); + return PyBool_Check(obj.ptr()) || reinterpret_cast(Py_TYPE(obj.ptr())) == numpy_bool_type(); +} + +// Where an integer argument is given: a configuration value's constructor (FlowPolicyConfig's +// models, TunnelCount, AbsoluteCost, RouteDefinition) or a search option or call argument. +enum class IntegerArgument { Configuration, Call }; + +// The one place that decides the class of a wrong-type integer (an open owner question, R3): +// a configuration value raises TypeError at construction, a search option or a +// call argument keeps today's ValueError; the text is the same. +[[noreturn]] inline void throw_not_an_integer(const py::handle& item, const std::string& what, IntegerArgument where) { + const std::string text = + what + " must be an integer (got " + std::string(py::str(py::type::of(item).attr("__name__"))) + ")"; + if (where == IntegerArgument::Configuration) throw py::type_error(text); + throw py::value_error(text); } // The Python int of an integer-like object (a Python int or a NumPy integer scalar); bools and -// everything else are rejected, and an exception of the object's own __index__ propagates as -// raised. The result is an exact int, so PyLong_AsLongLongAndOverflow cannot fail on it. -inline py::object python_int(const py::handle& item, const std::string& what) { - if (is_bool(item) || !PyIndex_Check(item.ptr())) { - throw py::value_error(what + " must be an integer (got " + - std::string(py::str(py::type::of(item).attr("__name__"))) + ")"); - } +// everything else are rejected (throw_not_an_integer), and an exception of the object's own +// __index__ propagates as raised. The result is an exact int, so PyLong_AsLongLongAndOverflow +// cannot fail on it. +inline py::object python_int(const py::handle& item, const std::string& what, + IntegerArgument where = IntegerArgument::Call) { + if (is_bool(item) || !PyIndex_Check(item.ptr())) throw_not_an_integer(item, what, where); py::object idx = py::reinterpret_steal(PyNumber_Index(item.ptr())); if (!idx) throw py::error_already_set(); return idx; } // One integer of [lo, hi] (scalar arguments). -inline std::int64_t integer_value(const py::handle& item, std::int64_t lo, std::int64_t hi, const std::string& what) { - py::object idx = python_int(item, what); +inline std::int64_t integer_value(const py::handle& item, std::int64_t lo, std::int64_t hi, const std::string& what, + IntegerArgument where = IntegerArgument::Call) { + py::object idx = python_int(item, what, where); int overflow = 0; const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); if (overflow != 0 || v < lo || v > hi) { @@ -59,7 +75,7 @@ inline std::int64_t integer_value(const py::handle& item, std::int64_t lo, std:: // defects raise here (a non-integer, a bool, a float array, a non-sequence); every value bound // is checked by the caller in the C++ constructor's order, so the reported error does not depend // on the representation of the input. -struct WideInts { +struct CheckedIntegerVector { py::object source; std::vector value; std::vector overflow; // empty when no entry overflows @@ -87,23 +103,31 @@ struct WideInts { } }; -inline bool not_a_sequence(const py::handle& obj) { +inline bool is_invalid_sequence(const py::handle& obj) { return py::isinstance(obj) || py::isinstance(obj) || !py::isinstance(obj); } -inline WideInts wide_integers(const py::handle& obj, const char* name) { - WideInts out; +// A type or shape defect of a sequence argument: TypeError for a configuration value's vector, +// ValueError for a call or search argument (as for the scalars: throw_not_an_integer). +[[noreturn]] inline void throw_vector_defect(const std::string& text, IntegerArgument where) { + if (where == IntegerArgument::Configuration) throw py::type_error(text); + throw py::value_error(text); +} + +inline CheckedIntegerVector wide_integers(const py::handle& obj, const char* name, + IntegerArgument where = IntegerArgument::Call) { + CheckedIntegerVector out; out.source = py::reinterpret_borrow(obj); if (py::isinstance(obj)) { auto arr = py::reinterpret_borrow(obj); if (arr.ndim() != 1) { - throw py::value_error(std::string(name) + " must be a 1-D array (got " + std::to_string(arr.ndim()) + - " dimensions)"); + throw_vector_defect(std::string(name) + " must be a 1-D array (got " + std::to_string(arr.ndim()) + " dimensions)", + where); } const char kind = arr.dtype().kind(); if (kind != 'i' && kind != 'u') { - throw py::value_error(std::string(name) + " entries must be integers (got dtype " + - std::string(py::str(arr.dtype())) + ")"); + throw_vector_defect(std::string(name) + " entries must be integers (got dtype " + std::string(py::str(arr.dtype())) + ")", + where); } out.value.reserve(static_cast(arr.size())); if (kind == 'u' && arr.itemsize() == 8) { @@ -126,12 +150,12 @@ inline WideInts wide_integers(const py::handle& obj, const char* name) { for (py::ssize_t i = 0; i < r.shape(0); ++i) out.value.push_back(r(i)); return out; } - if (not_a_sequence(obj)) throw py::value_error(std::string(name) + " must be a sequence of integers"); + if (is_invalid_sequence(obj)) throw_vector_defect(std::string(name) + " must be a sequence of integers", where); auto seq = py::reinterpret_borrow(obj); const std::size_t n = seq.size(); out.value.reserve(n); for (std::size_t i = 0; i < n; ++i) { - py::object idx = python_int(seq[i], std::string(name) + "[" + std::to_string(i) + "]"); + py::object idx = python_int(seq[i], std::string(name) + "[" + std::to_string(i) + "]", where); int overflow = 0; const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); if (overflow != 0) { @@ -155,61 +179,63 @@ inline bool is_nested(const py::handle& item) { // The shape step: the length of a rank-1 integer sequence argument. A NumPy array of another // rank (0-D included), a nested sequence or a non-sequence is a shape defect. Entry types and // values are not read here; their steps come later. -inline std::size_t sequence_length(const py::handle& obj, const char* name) { +inline std::size_t sequence_length(const py::handle& obj, const char* name, IntegerArgument where = IntegerArgument::Call) { if (py::isinstance(obj)) { auto arr = py::reinterpret_borrow(obj); if (arr.ndim() != 1) { - throw py::value_error(std::string(name) + " must be a 1-D array (got " + std::to_string(arr.ndim()) + - " dimensions)"); + throw_vector_defect(std::string(name) + " must be a 1-D array (got " + std::to_string(arr.ndim()) + " dimensions)", + where); } return static_cast(arr.size()); } - if (not_a_sequence(obj)) { - throw py::value_error(std::string(name) + " must be a 1-D sequence of integers (got " + - std::string(py::str(py::type::of(obj).attr("__name__"))) + ")"); + if (is_invalid_sequence(obj)) { + throw_vector_defect(std::string(name) + " must be a 1-D sequence of integers (got " + + std::string(py::str(py::type::of(obj).attr("__name__"))) + ")", + where); } auto seq = py::reinterpret_borrow(obj); const std::size_t n = seq.size(); for (std::size_t i = 0; i < n; ++i) { if (is_nested(seq[i])) { - throw py::value_error(std::string(name) + " must be a 1-D sequence of integers (entry " + std::to_string(i) + - " is a sequence)"); + throw_vector_defect(std::string(name) + " must be a 1-D sequence of integers (entry " + std::to_string(i) + + " is a sequence)", + where); } } return n; } -// A per-edge integer array in [0, capacity_units[e]] (a ledger baseline, a search residual, -// the capacities `view` of _place_global_units), validated on the unnarrowed values: the length +// A per-edge integer array in [0, the edge's capacity] (a ledger baseline, a search residual, +// the capacities `view` of _solve_min_cost_flow), validated on the unnarrowed values: the length // (shape step), then every entry in EdgeId order. `label` names the entries in a type error // ("residual (units)", "view (capacity units)"). The checked values come back unnarrowed: a -// caller narrows them later (_place_global_units, inside its call). -inline WideInts edge_amounts(const py::object& obj, const Graph& g, const char* name, const char* label) { - const auto num_edges = static_cast(g.num_edges()); +// caller narrows them later (_solve_min_cost_flow, inside its call). +inline CheckedIntegerVector edge_amounts(const py::object& obj, const Graph& graph, const char* name, const char* label) { + const auto num_edges = static_cast(graph.num_edges()); const std::size_t len = sequence_length(obj, name); if (len != num_edges) { throw py::value_error(std::string(name) + " has length " + std::to_string(len) + ", expected " + std::to_string(num_edges) + " (one entry per edge)"); } auto v = wide_integers(obj, label); - const auto capacity = g.capacity_units(); + const auto capacity = graph.edge_capacity_units(); for (std::size_t e = 0; e < num_edges; ++e) { if (!v.in(e, 0, capacity[e])) { - throw py::value_error(std::string(name) + "[" + std::to_string(e) + "] = " + v.text(e) + " is outside [0, capacity_units[" + + throw py::value_error(std::string(name) + "[" + std::to_string(e) + "] = " + v.text(e) + " is outside [0, edge_capacity_units[" + std::to_string(e) + "] = " + std::to_string(capacity[e]) + "]"); } } return v; } -// A per-edge integer array in [0, capacity_units[e]] (a ledger baseline, a search residual), +// A per-edge integer array in [0, the edge's capacity] (a ledger baseline, a search residual), // validated on the unnarrowed values: the length (shape step), then every entry. -inline std::vector edge_units(const py::object& obj, const Graph& g, const char* name) { - return edge_amounts(obj, g, name, (std::string(name) + " (units)").c_str()).narrow(); +inline std::vector edge_units(const py::object& obj, const Graph& graph, const char* name) { + return edge_amounts(obj, graph, name, (std::string(name) + " (units)").c_str()).narrow(); } // A node set's ids, non-empty and range-checked before narrowing (detail::node_set's messages). -inline std::vector checked_ids(const WideInts& ids, std::int32_t num_nodes, const char* name) { +inline std::vector checked_ids(const CheckedIntegerVector& ids, std::int32_t num_nodes, const char* name) { if (ids.size() == 0) throw py::value_error(detail::empty_set_error(name)); for (std::size_t i = 0; i < ids.size(); ++i) { if (!ids.in(i, 0, static_cast(num_nodes) - 1)) { diff --git a/bindings/python/module.cpp b/bindings/python/module.cpp index 098dca2..77531e8 100644 --- a/bindings/python/module.cpp +++ b/bindings/python/module.cpp @@ -1,10 +1,10 @@ /* Pybind11 module `_netgraph_core`: the graph on integer units with Eligibility and the unit - conversions, the route structures (PredDAG, Path), the selection and placement axes, the + conversions, the route structures (PredecessorDAG, Path), the route choice and placement axes, the ledger with its records, the forwarding programs, the policy engine with its configuration - and results, the DagCache, - the evaluators (capacity, batch_capacity, sensitivity) and the public search (spf, ksp, - resolve_to_paths); and one private entry: the flow core's _place_global_units. + and results, the ShortestPathCache, + the evaluators (evaluate_demand, evaluate_pairs, evaluate_edge_failures) and the public search (spf, ksp, + resolve_to_paths); and one private entry: the flow core's _solve_min_cost_flow. A build with the private hooks (CMake NETGRAPH_CORE_PRIVATE_HOOKS: the editable development build) adds the test controls and the parity diagnostics. @@ -16,7 +16,7 @@ enter only through to_units; the resolution is validated before anything else. - std::invalid_argument from Core maps to ValueError; enumeration values outside their enumeration are rejected at construction (ValueError). - - _place_global_units is a private entry point for the flow checks: it returns the flow + - _solve_min_cost_flow is a private entry point for the flow checks: it returns the flow core's payload as a dict of Python ints and lists. - Amounts and counters cross as Python ints (exact, also beyond 64 bits); per-edge arrays as int64 NumPy arrays in EdgeId order; +inf is accepted only as a request (float('inf')). @@ -32,23 +32,23 @@ using namespace netgraph::core; PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { m.doc() = "NetGraph-Core: the graph on integer units, the route structures, the integer ledger, the forwarding\n" - "programs, the policy engine FlowPolicy, the DagCache, the evaluators (capacity, batch_capacity,\n" - "sensitivity) and the searches (spf, ksp, resolve_to_paths).\n" + "programs, the policy engine FlowPolicy, the ShortestPathCache, the evaluators (evaluate_demand,\n" + "evaluate_pairs, evaluate_edge_failures) and the searches (spf, ksp, resolve_to_paths).\n" "Every public call either completes or raises and leaves Core state as it was, with two limits:\n" "(1) pybind11 does not check every allocation when it constructs a bound object from Python, parses\n" "the arguments of a call that passes keywords, or converts an attribute or a returned value into a\n" "new Python object outside the library's checked result construction; running out of memory exactly\n" - "there may crash the process, with Core state unchanged. (2) A DagCache passed to the call: a building one keeps the complete entries and\n" + "there may crash the process, with Core state unchanged. (2) A ShortestPathCache passed to the call: a building one keeps the complete entries and\n" "statistics of the lookups that succeeded before the call failed; a frozen one counts one miss\n" - "when the call raised DagCacheMiss."; + "when the call raised ShortestPathCacheMiss."; // In this order: a later binding's defaults and conversions need the earlier types. - bindings::register_axes(m); + bindings::register_options(m); bindings::register_units(m); bindings::register_eligibility(m); bindings::register_graph(m); - bindings::register_recorder(m); - bindings::register_pred_dag(m); + bindings::register_flow_solver_hook(m); + bindings::register_predecessor_dag(m); bindings::register_path(m); bindings::register_flow_record(m); bindings::register_flow_ledger(m); @@ -56,7 +56,7 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { bindings::register_routing(m); bindings::register_policy_config(m); bindings::register_placement_result(m); - bindings::register_dag_cache(m); + bindings::register_shortest_path_cache(m); bindings::register_flow_policy(m); bindings::register_evaluators(m); bindings::register_paths(m); diff --git a/bindings/python/options.cpp b/bindings/python/options.cpp new file mode 100644 index 0000000..fa13dc4 --- /dev/null +++ b/bindings/python/options.cpp @@ -0,0 +1,78 @@ +// The enumerations: RouteAllocation, Admission, SourceAllocation, WeightBasis, RouteTieBreak and Direction. +#include +#include + +#include + +#include "netgraph/core/options.hpp" + +#include "registration.hpp" + +namespace py = pybind11; + +namespace netgraph::core::bindings { + +void register_options(py::module_& m) { + py::enum_(m, "RouteAllocation", + "How traffic spreads over the routes (ShortestPaths's kernel; the interior split of supplied PredecessorDAG\n" + "routes, EQUAL or WEIGHTED).\n" + "OPTIMIZED: the minimum-cost flow core over the routes (a controller restricted to them), re-solved\n" + "over the free capacity plus the policy's own allocation (it may move its own earlier placement,\n" + "never another's). WEIGHTED (WCMP, weighted-cost multipath): every node splits in proportion to\n" + "weights fixed when the routes are prepared (highest averages: whole-unit shares as close to\n" + "proportional as possible; the weights come from WeightBasis). EQUAL (ECMP, equal-cost\n" + "multipath): every node splits equally, by round robin.") + .value("EQUAL", RouteAllocation::Equal) + .value("WEIGHTED", RouteAllocation::Weighted) + .value("OPTIMIZED", RouteAllocation::Optimized); + + py::enum_(m, "Admission", + "LOSSLESS admits the largest total the routes carry with no loss at all; LOSSY sends the whole\n" + "finite offer hop by hop and records where it is lost (every model except the optimizing ones:\n" + "ShortestPaths OPTIMIZED and CentralizedTE without tunnel_count).") + .value("LOSSLESS", Admission::Lossless) + .value("LOSSY", Admission::Lossy); + + py::enum_(m, "SourceAllocation", + "How a demand's traffic enters at its sources, separately from how it is routed. EQUAL: round\n" + "robin over the roster (ascending NodeId, the first sources one unit more); a source whose share\n" + "cannot go anywhere keeps it and loses it (LOSSLESS then admits only totals that give it\n" + "nothing). OPTIMIZED: the controller chooses the injections (one virtual source).") + .value("EQUAL", SourceAllocation::Equal) + .value("OPTIMIZED", SourceAllocation::Optimized); + + py::enum_(m, "WeightBasis", + "Where WEIGHTED member weights come from (ShortestPaths WEIGHTED and supplied PredecessorDAG routes).\n" + "CAPACITY (the default): each member's static capacity. EXPLICIT: edge_weights, one integer per\n" + "edge (a positive weight on an edge of capacity 0 becomes 0). RESIDUAL_SNAPSHOT: each member's free\n" + "capacity read once when the routes are prepared, against one common view, and frozen for the\n" + "epoch. A member of weight 0 is pruned with the branches it leaves without a destination, inside\n" + "the route only. The tie rule never chooses weights.") + .value("CAPACITY", WeightBasis::Capacity) + .value("EXPLICIT", WeightBasis::Explicit) + .value("RESIDUAL_SNAPSHOT", WeightBasis::ResidualSnapshot); + + py::enum_(m, "RouteTieBreak", + "How a route choice breaks a cost tie; cost always comes first. FEWER_HOPS: then fewer hops,\n" + "then the smaller EdgeId sequence. HIGHER_CAPACITY / HIGHER_AVAILABLE_CAPACITY /\n" + "HIGHER_HEADROOM: then the larger path bottleneck of static capacity / availability /\n" + "availability over static capacity (exact; 0 at static capacity 0), then fewer hops, then the\n" + "EdgeId sequence. Availability: unreserved bandwidth for DistributedTE, the service view for\n" + "ShortestPaths, the residual for spf and ksp, static capacity without one. The same order\n" + "keeps one of each (u, v) pair's parallel edges when parallel_edges is False. It never\n" + "supplies weights and never enables a controller objective.") + .value("FEWER_HOPS", RouteTieBreak::FewerHops) + .value("HIGHER_CAPACITY", RouteTieBreak::HigherCapacity) + .value("HIGHER_AVAILABLE_CAPACITY", RouteTieBreak::HigherAvailableCapacity) + .value("HIGHER_HEADROOM", RouteTieBreak::HigherHeadroom); + + py::enum_(m, "Direction", + "The orientation of a search: FORWARD from the roots along the edges, or REVERSE toward the roots\n" + "against the edges (the DAG it returns keeps the edges' own direction, so its walks lead to the\n" + "roots).") + .value("FORWARD", Direction::Forward) + .value("REVERSE", Direction::Reverse); + +} + +} // namespace netgraph::core::bindings diff --git a/bindings/python/path.cpp b/bindings/python/path.cpp index 5039a25..0ddece9 100644 --- a/bindings/python/path.cpp +++ b/bindings/python/path.cpp @@ -9,7 +9,7 @@ #include #include "netgraph/core/graph.hpp" -#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/route_structures.hpp" #include "integers.hpp" #include "registration.hpp" @@ -25,9 +25,9 @@ void register_path(py::module_& m) { "each hop's cheapest member.") .def(py::init([](const std::shared_ptr& graph, const py::object& hops) { if (!graph) throw py::value_error("graph must be a Graph"); - if (not_a_sequence(hops)) throw py::value_error("Path: hops must be a sequence of hops (sequences of EdgeIds)"); + if (is_invalid_sequence(hops)) throw py::value_error("Path: hops must be a sequence of hops (sequences of EdgeIds)"); auto seq = py::reinterpret_borrow(hops); - std::vector raw; + std::vector raw; for (std::size_t h = 0; h < seq.size(); ++h) { py::object hop = seq[h]; raw.push_back(wide_integers(hop, ("hops[" + std::to_string(h) + "]").c_str())); @@ -54,12 +54,12 @@ void register_path(py::module_& m) { "contiguous hops, no repeated node.") .def("graph_uid", &Path::graph_uid, "uid of the graph this path belongs to") .def("hops", [](const Path& p) { return p.hops(); }, "the hops as lists of EdgeIds (the caller's member order)") - .def("src", &Path::src, "the first node of the walk") - .def("dst", &Path::dst, "the last node of the walk") + .def("source", &Path::source, "the first node of the walk") + .def("destination", &Path::destination, "the last node of the walk") .def("cost", &Path::cost, "sum over hops of the minimum member cost") .def( - "to_dag", [](const Path& p) { return std::make_shared(p.to_dag()); }, - "the equivalent PredDAG (every member of every hop)") + "to_dag", [](const Path& p) { return std::make_shared(p.to_dag()); }, + "the equivalent PredecessorDAG (every member of every hop)") .def("__eq__", [](const Path& a, const py::object& b) { return py::isinstance(b) && a == b.cast(); }) @@ -70,7 +70,7 @@ void register_path(py::module_& m) { return py::hash(py::make_tuple(a.graph_uid(), py::tuple(hops))); }) .def("__repr__", [](const Path& a) { - return "Path(src=" + std::to_string(a.src()) + ", dst=" + std::to_string(a.dst()) + + return "Path(source=" + std::to_string(a.source()) + ", destination=" + std::to_string(a.destination()) + ", hops=" + std::to_string(a.hops().size()) + ", cost=" + std::to_string(a.cost()) + ")"; }); } diff --git a/bindings/python/paths.cpp b/bindings/python/path_enumeration.cpp similarity index 54% rename from bindings/python/paths.cpp rename to bindings/python/path_enumeration.cpp index 26d1a01..88e1a9c 100644 --- a/bindings/python/paths.cpp +++ b/bindings/python/path_enumeration.cpp @@ -14,13 +14,14 @@ #include "netgraph/core/detail/enum_domain.hpp" #include "netgraph/core/detail/endpoints.hpp" -#include "netgraph/core/detail/traversal.hpp" +#include "netgraph/core/detail/search_detail.hpp" #include "netgraph/core/eligibility.hpp" #include "netgraph/core/graph.hpp" #include "netgraph/core/options.hpp" -#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/route_structures.hpp" #include "netgraph/core/search.hpp" #include "integers.hpp" +#include "strict_bool.hpp" #include "publication.hpp" #include "values.hpp" #include "registration.hpp" @@ -54,14 +55,15 @@ std::int64_t count_of(const py::object& obj, const char* name) { return overflow != 0 ? std::numeric_limits::max() : static_cast(v); } -// The Python form of KspOptions: the arguments as given (k, max_path_cost and residual are +// The Python form of KspOptions: the arguments as given (k, cost_ceiling and residual are // validated at the call, in ksp's validation order, on their unnarrowed values). struct PyKspOptions { py::object k; - PathSelection selection; - py::object max_path_cost; + RouteTieBreak tie_break; + bool parallel_edges; + py::object cost_ceiling; py::object residual; - std::shared_ptr elig; + std::shared_ptr eligibility; }; } // namespace @@ -69,28 +71,34 @@ struct PyKspOptions { void register_paths(py::module_& m) { py::class_( m, "KspOptions", - "The options of ksp: k (>= 1) and selection are explicit (multi_edge = True lists each parallel\n" - "edge as a separate path, False keeps one per (u, v) pair as EdgeTieBreak describes; multipath is\n" - "ignored); max_path_cost (None, Absolute(c) with c >= 0, or Stretch(f) with f finite in [1, inf)\n" - "times the static shortest cost under the Eligibility, residual ignored; inclusive); residual\n" - "(int64 units per EdgeId, each in [0, capacity_units]: edges with less than 1 unit are skipped, and\n" - "the values feed the priority; it is the only capacity filter, and without it an edge of capacity 0\n" - "is searched like any other); elig (None: everything allowed). The fields are validated by ksp,\n" - "in the order its docstring gives.") - .def(py::init([](const py::object& k, const PathSelection& selection, const py::object& max_path_cost, - const py::object& residual, const std::shared_ptr& elig) { - return PyKspOptions {k, selection, max_path_cost, residual, elig}; + "The options of ksp: k (>= 1); tie_break (RouteTieBreak) orders paths of equal cost;\n" + "parallel_edges = True lists each parallel edge as a separate path, False keeps one per (u, v)\n" + "pair by the tie rule (no multipath field: k sets the number of paths); cost_ceiling (None,\n" + "AbsoluteCost(c) with c >= 0, or CostStretch(n/d) with n/d >= 1 times the static shortest\n" + "cost under the eligibility, compared exactly, residual ignored; inclusive); residual (int64 units per\n" + "EdgeId, each in [0, edge_capacity_units]: edges with less than 1 unit are skipped, and the values\n" + "feed the availability; it is the only capacity filter, and without it an edge of capacity 0 is\n" + "searched like any other); eligibility (None: everything allowed). A parallel_edges that is not a\n" + "bool raises TypeError here; the other fields are validated by ksp, in the order its docstring\n" + "gives.") + .def(py::init([](const py::object& k, RouteTieBreak tie_break, StrictBool parallel_edges, + const py::object& cost_ceiling, const py::object& residual, + const std::shared_ptr& eligibility) { + return PyKspOptions {k, tie_break, parallel_edges, cost_ceiling, residual, eligibility}; }), - py::arg("k"), py::arg("selection"), py::kw_only(), py::arg("max_path_cost") = py::none(), - py::arg("residual") = py::none(), py::arg("elig") = nullptr) + py::arg("k"), py::kw_only(), py::arg_v("tie_break", RouteTieBreak::FewerHops, "RouteTieBreak.FEWER_HOPS"), + py::arg("parallel_edges") = StrictBool {true}, py::arg("cost_ceiling") = py::none(), + py::arg("residual") = py::none(), py::arg("eligibility") = nullptr) .def_readonly("k", &PyKspOptions::k, "the number of paths as given (validated by ksp: an integer >= 1)") - .def_readonly("selection", &PyKspOptions::selection, "the PathSelection (multipath is ignored)") - .def_readonly("max_path_cost", &PyKspOptions::max_path_cost, - "the inclusive cost ceiling as given: None, Absolute or Stretch (validated by ksp)") + .def_property_readonly("tie_break", field_object(&PyKspOptions::tie_break), "the RouteTieBreak of paths of equal cost") + .def_readonly("parallel_edges", &PyKspOptions::parallel_edges, + "True: each parallel edge a separate path; False: one per (u, v) pair by the tie rule") + .def_readonly("cost_ceiling", &PyKspOptions::cost_ceiling, + "the inclusive cost ceiling as given: None, AbsoluteCost or CostStretch (validated by ksp)") .def_readonly("residual", &PyKspOptions::residual, "the residual units per EdgeId as given (validated by ksp); None: no capacity filter;\n" "priorities read static capacity") - .def_readonly("elig", &PyKspOptions::elig, "the static Eligibility; None: everything allowed"); + .def_property_readonly("eligibility", shared_field(&PyKspOptions::eligibility), "the static Eligibility; None: everything allowed"); m.def( "ksp", @@ -98,28 +106,22 @@ void register_paths(py::module_& m) { if (!graph) throw py::value_error("graph must be a Graph"); const auto o = options_of(opts, "KspOptions"); const auto n = graph->num_nodes(); - // ksp's validation order on unnarrowed values (Core repeats every check): the selection, src, - // dst, src == dst, k, the ceiling, the residual, then a foreign Eligibility. - detail::check_selection(o.selection); - const NodeId s = endpoint(src, n, "src"); - const NodeId t = endpoint(dst, n, "dst"); - if (s == t) throw py::value_error(detail::overlap_error(s, "src", "dst")); - KspOptions c(count_of(o.k, "k"), o.selection); - if (!o.max_path_cost.is_none()) { - if (py::isinstance(o.max_path_cost)) { - c.max_path_cost = o.max_path_cost.cast(); - } else if (py::isinstance(o.max_path_cost)) { - c.max_path_cost = o.max_path_cost.cast(); - } else { - throw py::type_error("max_path_cost must be Absolute, Stretch or None (got " + - std::string(py::str(py::type::of(o.max_path_cost).attr("__name__"))) + ")"); - } - detail::check_ceiling(c.max_path_cost); - } + // ksp's validation order on unnarrowed values (Core repeats every check): the tie_break, the + // source, the destination, source == destination, k, the ceiling, the residual, then a foreign + // Eligibility. + detail::check_member(o.tie_break, "tie_break"); + const NodeId s = endpoint(src, n, "source"); + const NodeId t = endpoint(dst, n, "destination"); + if (s == t) throw py::value_error(detail::overlap_error(s, "source", "destination")); + KspOptions c(count_of(o.k, "k")); + c.tie_break = o.tie_break; + c.parallel_edges = o.parallel_edges; + c.cost_ceiling = cost_ceiling_of(o.cost_ceiling); + detail::check_ceiling(c.cost_ceiling); std::optional> res; if (!o.residual.is_none()) res = edge_units(o.residual, *graph, "residual"); if (res.has_value()) c.residual = std::span(*res); - c.elig = o.elig.get(); + c.eligibility = o.eligibility.get(); std::vector> paths; { py::gil_scoped_release release; @@ -137,27 +139,28 @@ void register_paths(py::module_& m) { } return out; }, - py::arg("graph"), py::arg("src"), py::arg("dst"), py::arg("opts"), - "The k shortest simple src -> dst paths over the eligible edges (only those with residual >= 1 when\n" + py::arg("graph"), py::arg("source"), py::arg("destination"), py::arg("options"), + "The k shortest simple source -> destination paths over the eligible edges (only those with residual >= 1 when\n" "a residual is given; an edge of capacity 0 is searched like any other) -> [(cost, Path)], each hop\n" - "a single edge. Order: lowest cost; then, under PREFER_HIGHER_PRIORITY only, highest bottleneck\n" - "(the smallest priority value along the path); then fewest hops; then the smallest EdgeId\n" + "a single edge. Order: lowest cost; then, under a HIGHER_* tie_break only, the highest bottleneck\n" + "(the smallest tie value along the path); then fewest hops; then the smallest EdgeId\n" "sequence. The result is the first k paths of that order\n" - "within the inclusive cost ceiling. Validated in this order before any work (ValueError): src and\n" - "dst in range, src == dst, k >= 1, the ceiling, the residual (length, then every entry), a foreign\n" - "Eligibility. An excluded endpoint, no static route under Stretch, or no path gives []."); + "within the inclusive cost ceiling. Validated in this order before any work (ValueError): source and\n" + "destination in range, source == destination, k >= 1, the ceiling, the residual (length, then every\n" + "entry), a foreign Eligibility. An excluded endpoint, no static route under a CostStretch ceiling, or\n" + "no path gives []."); m.def( "resolve_to_paths", - [](const std::shared_ptr& graph, const std::shared_ptr& dag, const py::object& src, - const py::object& dst, bool split_parallel_edges, const py::object& max_paths) { + [](const std::shared_ptr& graph, const std::shared_ptr& dag, const py::object& src, + const py::object& dst, StrictBool split_parallel_edges, const py::object& max_paths) { if (!graph) throw py::value_error("graph must be a Graph"); - if (!dag) throw py::value_error("dag must be a PredDAG"); - if (dag->graph_uid() != graph->uid()) throw py::value_error("foreign PredDAG: built for another graph"); + if (!dag) throw py::value_error("dag must be a PredecessorDAG"); + if (dag->graph_uid() != graph->uid()) throw py::value_error("foreign PredecessorDAG: built for another graph"); const auto n = graph->num_nodes(); - const NodeId s = endpoint(src, n, "src"); - const NodeId t = endpoint(dst, n, "dst"); - if (s == t) throw py::value_error(detail::overlap_error(s, "src", "dst")); + const NodeId s = endpoint(src, n, "source"); + const NodeId t = endpoint(dst, n, "destination"); + if (s == t) throw py::value_error(detail::overlap_error(s, "source", "destination")); std::optional mp; if (!max_paths.is_none()) mp = count_of(max_paths, "max_paths"); std::vector paths; @@ -171,15 +174,15 @@ void register_paths(py::module_& m) { } return out; }, - py::arg("graph"), py::arg("dag"), py::arg("src"), py::arg("dst"), py::arg("split_parallel_edges") = false, + py::arg("graph"), py::arg("dag"), py::arg("source"), py::arg("destination"), py::arg("split_parallel_edges") = StrictBool {false}, py::arg("max_paths") = py::none(), - "The src -> dst walks of a DAG -> [Path], in increasing (cost, hops, edge-id sequence):\n" + "The source -> destination walks of a DAG -> [Path], in increasing (cost, hops, edge-id sequence):\n" "a hop costs its cheapest member and is keyed by its lowest member id. split_parallel_edges = False\n" "keeps every parallel member of a (u, v) pair in one hop (members ascending); True gives one path\n" "per member combination, sorted by that path's own (cost, hops, edge-id sequence). max_paths\n" "(>= 1) truncates; None lists every walk.\n" - "ValueError: a DAG of another graph, src or dst out of range, src == dst, max_paths < 1. An\n" - "endpoint outside the DAG, or no walk, gives []."); + "ValueError: a DAG of another graph, source or destination out of range, source == destination,\n" + "max_paths < 1. An endpoint outside the DAG, or no walk, gives []."); } } // namespace netgraph::core::bindings diff --git a/bindings/python/placement_result.cpp b/bindings/python/placement_result.cpp index 7b8cc09..4c8952e 100644 --- a/bindings/python/placement_result.cpp +++ b/bindings/python/placement_result.cpp @@ -10,7 +10,7 @@ #include #include "netgraph/core/flow_policy.hpp" -#include "netgraph/core/program.hpp" +#include "netgraph/core/forwarding_program.hpp" #include "values.hpp" #include "publication.hpp" #include "registration.hpp" @@ -21,6 +21,18 @@ namespace netgraph::core::bindings { namespace { +// A Termination's name, without a Python object (a repr must not fail on its own allocation of an +// enum object). +const char* termination_name(Termination t) { + switch (t) { + case Termination::Complete: return "COMPLETE"; + case Termination::NoRoute: return "NO_ROUTE"; + case Termination::Exhausted: return "EXHAUSTED"; + case Termination::NoActiveWeight: return "NO_ACTIVE_WEIGHT"; + } + return "?"; +} + py::object inf_or(const std::optional& r) { return r.has_value() ? py::object(py::int_(*r)) : py::object(py::float_(std::numeric_limits::infinity())); } @@ -35,7 +47,7 @@ py::list counter_pairs(const std::vector>& v) { return out; } -// fractions.Fraction, imported once when the module is registered: TunnelPlan.fluid_share only +// fractions.Fraction, imported once when the module is registered: TunnelPlan.max_fractional_bandwidth_per_tunnel only // calls it (an import inside a getter can absorb a failed allocation and still succeed). py::gil_safe_call_once_and_store& fraction_class() { PYBIND11_CONSTINIT static py::gil_safe_call_once_and_store storage; @@ -64,137 +76,148 @@ void register_placement_result(py::module_& m) { py::class_(m, "SourceFlow", "One normalized input source's forwarding in the epoch (read-only; zero rows included: a\n" "masked or unreachable source): source, offered (LOSSY: its injections; None when\n" - "LOSSLESS), admitted (LOSSLESS: what it delivers; LOSSY: offered), delivered, source_loss\n" - "(offered units lost at the source for lack of a usable route) and dropped (its losses on\n" - "links). LOSSY: offered = delivered + source_loss + dropped. Exact ints.") + "LOSSLESS), admitted (LOSSLESS: what it delivers; LOSSY: offered), delivered, source_drops\n" + "(offered units lost at the source for lack of a usable route) and total_edge_drops (its losses\n" + "on links). LOSSY: offered = delivered + source_drops + total_edge_drops. Exact ints.") .def_readonly("source", &SourceFlow::source, "the source node id") .def_property_readonly( + "offered", [](const SourceFlow& r) { return counter_or_none(r.offered); }, "LOSSY: the units this source injected; None when LOSSLESS") .def_property_readonly( + "admitted", [](const SourceFlow& r) { return counter_int(r.admitted); }, "LOSSLESS: the units it delivers; LOSSY: offered") .def_readonly("delivered", &SourceFlow::delivered, "the units it delivers to the destinations") .def_property_readonly( - "source_loss", [](const SourceFlow& r) { return counter_int(r.source_loss); }, + "source_drops", [](const SourceFlow& r) { return counter_int(r.source_drops); }, "LOSSY: its offered units lost at the source (no usable route); 0 when LOSSLESS") .def_property_readonly( - "dropped", [](const SourceFlow& r) { return counter_int(r.dropped); }, + "total_edge_drops", [](const SourceFlow& r) { return counter_int(r.total_edge_drops); }, "LOSSY: its units dropped on links; 0 when LOSSLESS") .def("__repr__", [](const SourceFlow& r) { return "SourceFlow(source=" + std::to_string(r.source) + ", delivered=" + std::to_string(r.delivered) + ")"; }); py::class_(m, "TunnelFlow", - "One program tunnel's forwarding in the epoch (read-only): index (its entry identifier) and\n" - "head, status (TunnelStatus: UP; NO_BANDWIDTH or COST_CEILING for a tunnel T1's setup left\n" - "down; FAILED, BLACKHOLED in this forwarding), assigned (its share of the injections: LOSSY the\n" - "shares sent to it, LOSSLESS what it carries), delivered and dropped (its losses on links).\n" - "Exact ints (assigned and dropped may exceed 64 bits).") - .def_readonly("index", &TunnelFlow::index, "the tunnel's entry identifier") + "One program tunnel's forwarding in the epoch (read-only): entry_id (its entry identifier) and\n" + "head, status (TunnelStatus: UP; INSUFFICIENT_BANDWIDTH or COST_CEILING_EXCEEDED for a tunnel\n" + "T1's setup left down; FAILED, BLACKHOLED in this forwarding), assigned (its share of the\n" + "injections: LOSSY the shares sent to it, LOSSLESS what it carries), delivered and\n" + "total_edge_drops (its losses on links). Exact ints (assigned and total_edge_drops may exceed 64\n" + "bits).") + .def_readonly("entry_id", &TunnelFlow::entry_id, "the tunnel's entry identifier") .def_readonly("head", &TunnelFlow::head, "the tunnel's head") - .def_readonly("status", &TunnelFlow::status, - "UP, a down tunnel's setup status (NO_BANDWIDTH, COST_CEILING), FAILED or BLACKHOLED in this\n" - "forwarding") + .def_property_readonly("status", field_object(&TunnelFlow::status), + "UP, a down tunnel's setup status (INSUFFICIENT_BANDWIDTH, COST_CEILING_EXCEEDED), FAILED or\n" + "BLACKHOLED in this forwarding") .def_property_readonly( + "assigned", [](const TunnelFlow& r) { return counter_int(r.assigned); }, "its share of the injections in the epoch (LOSSY: sent to it; LOSSLESS: what it carries)") .def_readonly("delivered", &TunnelFlow::delivered, "the units it delivers") .def_property_readonly( - "dropped", [](const TunnelFlow& r) { return counter_int(r.dropped); }, "its units dropped on links") + "total_edge_drops", [](const TunnelFlow& r) { return counter_int(r.total_edge_drops); }, "its units dropped on links") .def("__repr__", [](const TunnelFlow& r) { - return "TunnelFlow(index=" + std::to_string(r.index) + ", delivered=" + std::to_string(r.delivered) + ")"; + return "TunnelFlow(entry_id=" + std::to_string(r.entry_id) + ", delivered=" + std::to_string(r.delivered) + ")"; }); py::class_(m, "TunnelPlan", - "The tunnel models' setup summary (read-only): count (the tunnels per head; T2 up to: the\n" - "chosen count), design_demand (the design volume D in units), head_design ((head, RR(D, H, i))\n" - "for every roster head in ascending NodeId) and reserved_total (T1's strict holds, counted once\n" - "per up tunnel: the sum of their requests; 0 for T2). T2 only (None for T1): live_heads,\n" + "The tunnel models' setup summary (read-only): tunnels_per_head (T2 up to: the chosen count),\n" + "design_demand (the design volume D in units), design_by_head ((head, RR(D, H, i)) for every\n" + "roster head in ascending NodeId) and total_reserved_bandwidth (T1's strict holds, counted once\n" + "per up tunnel: the sum of their requests; 0 for T2). T2 only (None for T1): heads_with_capacity,\n" "insufficient_resolution (live heads exist but no whole unit per tunnel fits, U == 0: the\n" - "program has no tunnels), fluid_share (the exact fluid optimum s*, a Fraction), common_share\n" - "(U), planned_per_tunnel (u), planned_total (K*u), route_cost (the route-cost sum, can exceed\n" - "2^64), headroom_penalty (with prefer_headroom only) and forwarding_bound (the program's\n" - "lossless maximum; a dead head's share blocks it). Exact ints.") - .def_readonly("count", &TunnelPlan::count, "the tunnels per head (T2 up to: the chosen count)") + "program has no tunnels), max_fractional_bandwidth_per_tunnel (the exact fluid optimum s*, a\n" + "Fraction), max_bandwidth_per_tunnel (U), planned_bandwidth_per_tunnel (u),\n" + "total_planned_bandwidth (K*u), total_tunnel_cost (the route-cost sum, can exceed 2^64),\n" + "headroom_penalty (with prefer_headroom only) and max_lossless_offer (the program's lossless\n" + "maximum; a dead head's share blocks it). Exact ints.") + .def_readonly("tunnels_per_head", &TunnelPlan::tunnels_per_head, "the tunnels per head (T2 up to: the chosen count)") .def_property_readonly( + "design_demand", [](const TunnelPlan& p) { return inf_or(p.design_demand); }, "the design volume D in units; float('inf') when unlimited") .def_property_readonly( - "head_design", [](const TunnelPlan& p) { return pairs_tuple(p.head_design); }, + "design_by_head", [](const TunnelPlan& p) { return pairs_tuple(p.design_by_head); }, "((head, share), ...): every roster head's share RR(D, H, i), ascending NodeId") - .def_readonly("reserved_total", &TunnelPlan::reserved_total, + .def_readonly("total_reserved_bandwidth", &TunnelPlan::total_reserved_bandwidth, "the strict holds of the up tunnels, each tunnel's request counted once") .def_property_readonly( - "live_heads", + "heads_with_capacity", [](const TunnelPlan& p) -> py::object { - return p.live_heads.has_value() ? py::object(ints_tuple(*p.live_heads)) : py::object(py::none()); + return p.heads_with_capacity.has_value() ? py::object(ints_tuple(*p.heads_with_capacity)) : py::object(py::none()); }, "T2: the heads that reach a destination over links with free capacity >= 1 (ascending); None for T1") .def_readonly("insufficient_resolution", &TunnelPlan::insufficient_resolution, - "T2: True when live heads exist but no whole unit per tunnel fits (common_share 0, no tunnels)") + "T2: True when live heads exist but no whole unit per tunnel fits (max_bandwidth_per_tunnel 0,\n" + "no tunnels)") .def_property_readonly( - "fluid_share", + "max_fractional_bandwidth_per_tunnel", [](const TunnelPlan& p) -> py::object { - if (!p.fluid_share.has_value()) return py::none(); - return fraction_class().get_stored()(p.fluid_share->first, p.fluid_share->second); + if (!p.max_fractional_bandwidth_per_tunnel.has_value()) return py::none(); + return fraction_class().get_stored()(p.max_fractional_bandwidth_per_tunnel->first, p.max_fractional_bandwidth_per_tunnel->second); }, "T2: the exact fluid optimum s* (a fractions.Fraction; 0 without a live head); None for T1") - .def_readonly("common_share", &TunnelPlan::common_share, "T2: U, the largest common whole-unit size") - .def_readonly("planned_per_tunnel", &TunnelPlan::planned_per_tunnel, "T2: u, every tunnel's planned bandwidth") - .def_readonly("planned_total", &TunnelPlan::planned_total, "T2: K*u over the K tunnels") + .def_readonly("max_bandwidth_per_tunnel", &TunnelPlan::max_bandwidth_per_tunnel, "T2: U, the largest common whole-unit size") + .def_readonly("planned_bandwidth_per_tunnel", &TunnelPlan::planned_bandwidth_per_tunnel, "T2: u, every tunnel's planned bandwidth") + .def_readonly("total_planned_bandwidth", &TunnelPlan::total_planned_bandwidth, "T2: K*u over the K tunnels") .def_property_readonly( - "route_cost", - [](const TunnelPlan& p) -> py::object { return p.route_cost.has_value() ? counter_int(*p.route_cost) : py::none(); }, + "total_tunnel_cost", + [](const TunnelPlan& p) -> py::object { return p.total_tunnel_cost.has_value() ? counter_int(*p.total_tunnel_cost) : py::none(); }, "T2: the sum of cost * tunnel count over the links (exact; can exceed 2^64)") .def_property_readonly( + "headroom_penalty", [](const TunnelPlan& p) -> py::object { return p.headroom_penalty.has_value() ? counter_int(*p.headroom_penalty) : py::none(); }, "T2 with prefer_headroom: the sum over the links' tunnel slots j of floor(2^32 (B - V + j*u) / B)\n" "(B: static capacity; V: free capacity); None without prefer_headroom and for T1") - .def_readonly("forwarding_bound", &TunnelPlan::forwarding_bound, + .def_readonly("max_lossless_offer", &TunnelPlan::max_lossless_offer, "T2: F, the program's lossless maximum on the call's view (a dead head's share blocks it)") .def("__repr__", [](const TunnelPlan& p) { - return "TunnelPlan(count=" + std::to_string(p.count) + ", reserved_total=" + std::to_string(p.reserved_total) + ")"; + return "TunnelPlan(tunnels_per_head=" + std::to_string(p.tunnels_per_head) + ", total_reserved_bandwidth=" + std::to_string(p.total_reserved_bandwidth) + ")"; }); py::class_( m, "PlacementResult", - "The result of one call. This call: placed (units delivered by the call; replace, forward and\n" - "evaluate: the full new delivery), remaining (request - placed; float('inf') for an infinite\n" - "request), delivery_delta (new minus old delivery, may be negative), call_drops [(EdgeId, units)],\n" - "call_source_loss, termination, routes_changed, weights_changed and reservations_changed. The\n" + "The result of one call. This call: call_delivered (units delivered by the call; replace, forward\n" + "and evaluate: the full new delivery), call_undelivered (request - call_delivered; float('inf') for\n" + "an infinite request), delivery_delta (new minus old delivery, may be negative), call_edge_drops\n" + "[(EdgeId, units)], call_source_drops, termination, routes_changed, weights_changed and\n" + "reservations_changed. The\n" "demand's state after the call (totals of the epoch): program (the installed ForwardingProgram;\n" "evaluate: the computed one; None before the first preparation), plan (a TunnelPlan for T1 and T2;\n" "None for every other model), requested (float('inf') after an infinite request), offered (LOSSY: the traffic sent; None when LOSSLESS), admitted, delivered, unadmitted\n" - "(LOSSLESS: requested - delivered, None after an infinite request; LOSSY: 0), source_loss, drops\n" - "[(EdgeId, units)], by_source (one SourceFlow per normalized input source, ascending NodeId),\n" - "by_tunnel (one TunnelFlow per program tunnel, ascending index; an alternative view, never added to\n" - "by_source), total_cost (controllers: Global and CostOnly MAX_FLOW; else None) and cost_distribution\n" - "(unrestricted Global with the optimized origin only). LOSSY: offered = source_loss + sum(drops) +\n" - "delivered. The rows sum to the totals, except for LOSSY with an empty roster, where the whole offer\n" - "is the demand's source loss and every row is zero. Optional outputs, None unless requested:\n" - "edge_flows, residual and reservation_edge_flows (int64[E]), bottleneck, min_cut (they describe the same\n" + "(LOSSLESS: requested - delivered, None after an infinite request; LOSSY: 0), source_drops,\n" + "edge_drops [(EdgeId, units)], by_source (one SourceFlow per normalized input source, ascending\n" + "NodeId), by_tunnel (one TunnelFlow per program tunnel, ascending entry_id; an alternative view, never\n" + "added to by_source), total_cost (controllers: CentralizedTE and ShortestPaths OPTIMIZED; else None)\n" + "and marginal_cost_curve (unrestricted CentralizedTE with the optimized source allocation only).\n" + "LOSSY: offered = source_drops + sum(edge_drops) + delivered. The rows sum to the totals, except for\n" + "LOSSY with an empty roster, where the whole offer is the demand's source drops and every row is\n" + "zero. Optional outputs, None unless requested: edge_flows, residual and edge_reservations\n" + "(int64[E]), saturated_boundary_edges, min_cut (they describe the same\n" "state; evaluate: the evaluated one). Amounts that accumulate are exact ints (they may exceed 64 bits).") - .def_readonly("placed", &PlacementResult::placed, "the units placed (delivered) by this call") + .def_readonly("call_delivered", &PlacementResult::call_delivered, "the units placed (delivered) by this call") .def_property_readonly( - "remaining", [](const PlacementResult& r) { return inf_or(r.remaining); }, - "the request minus placed, in units (an amount, not a status); float('inf') for an infinite request") + "call_undelivered", [](const PlacementResult& r) { return inf_or(r.call_undelivered); }, + "the request minus call_delivered, in units (an amount, not a status); float('inf') for an infinite\n" + "request") .def_readonly("delivery_delta", &PlacementResult::delivery_delta, - "the delivery after the call minus before it (placed for a placement; may be negative for a\n" - "full-offer call)") + "the delivery after the call minus before it (call_delivered for a placement; may be negative\n" + "for a full-offer call)") .def_property_readonly( - "call_drops", [](const PlacementResult& r) { return pairs_list(r.call_drops); }, + "call_edge_drops", [](const PlacementResult& r) { return pairs_list(r.call_edge_drops); }, "this call's drops on links [(EdgeId, units)], ascending EdgeId (empty unless LOSSY)") - .def_readonly("call_source_loss", &PlacementResult::call_source_loss, + .def_readonly("call_source_drops", &PlacementResult::call_source_drops, "this call's offered units lost at sources without a usable route (LOSSY)") - .def_readonly("termination", &PlacementResult::termination, "the call's outcome (Termination)") + .def_property_readonly("termination", field_object(&PlacementResult::termination), "the call's outcome (Termination)") .def_readonly("routes_changed", &PlacementResult::routes_changed, "True when the call's program differs from the installed one in its ordered heads, paths, split\n" "tables or duplicates (no program counts as the empty program; two programs without an entry\n" - "are equal). An offer-only change (forward, Pinned, CostOnly increments) and an identical\n" + "are equal). An offer-only change (forward, Pinned, ShortestPaths increments) and an identical\n" "replace set nothing") .def_readonly("weights_changed", &PlacementResult::weights_changed, "True when the call's program differs from the installed one in its injection (source weights)\n" @@ -204,15 +227,18 @@ void register_placement_result(py::module_& m) { "True when a tunnel's requested or reserved amount differs from the installed program's, by\n" "index (an absent tunnel holds 0): only T1 sets it; forward and Pinned never do") .def_property_readonly( + "program", [](const PlacementResult& r) { return optional_shared(r.program); }, "the installed ForwardingProgram after the call (evaluate: the computed one); None before the first\n" "preparation") .def_property_readonly( + "plan", [](const PlacementResult& r) { return optional_of(r.plan); }, "T1 and T2: the TunnelPlan of the program after the call; None for every other model (Pinned over\n" "a tunnel program too)") .def_property_readonly( + "requested", [](const PlacementResult& r) -> py::object { return r.requested.has_value() ? counter_int(*r.requested) @@ -220,39 +246,46 @@ void register_placement_result(py::module_& m) { }, "the sum of the epoch's requests; float('inf') after an infinite one") .def_property_readonly( + "offered", [](const PlacementResult& r) { return counter_or_none(r.offered); }, "LOSSY: the traffic sent in the epoch (the first-hop injection of an infinite request); None\n" "when LOSSLESS") .def_property_readonly( + "admitted", [](const PlacementResult& r) { return counter_int(r.admitted); }, "LOSSLESS: the total carried; LOSSY: offered") .def_readonly("delivered", &PlacementResult::delivered, "the units the demand delivers") .def_property_readonly( + "unadmitted", [](const PlacementResult& r) { return counter_or_none(r.unadmitted); }, "LOSSLESS: requested - delivered, None after an infinite request; LOSSY: 0") .def_property_readonly( - "source_loss", [](const PlacementResult& r) { return counter_int(r.source_loss); }, + "source_drops", [](const PlacementResult& r) { return counter_int(r.source_drops); }, "LOSSY: the offered units lost at sources (no usable route, or an empty roster); 0 when LOSSLESS") .def_property_readonly( - "drops", [](const PlacementResult& r) { return counter_pairs(r.drops); }, + "edge_drops", [](const PlacementResult& r) { return counter_pairs(r.edge_drops); }, "the epoch's drops on links [(EdgeId, units)], ascending EdgeId (empty unless LOSSY)") .def_property_readonly( + "by_source", [](const PlacementResult& r) { return tuple_of(r.by_source); }, "one SourceFlow per normalized input source, ascending NodeId (zero rows included)") .def_property_readonly( + "by_tunnel", [](const PlacementResult& r) { return tuple_of(r.by_tunnel); }, "one TunnelFlow per program tunnel, ascending index (empty without tunnels)") .def_property_readonly( + "total_cost", [](const PlacementResult& r) { return counter_or_none(r.total_cost); }, - "controllers (Global, CostOnly MAX_FLOW): the exact sum of cost * flow over the policy's\n" + "controllers (CentralizedTE, ShortestPaths OPTIMIZED): the exact sum of cost * flow over the policy's\n" "allocation; None for the other models (T1, T2, Pinned)") - .def_readonly("cost_distribution", &PlacementResult::cost_distribution, - "unrestricted Global with the optimized origin: the marginal cost curve [(cost, units)] of the policy's\n" + .def_readonly("marginal_cost_curve", &PlacementResult::marginal_cost_curve, + "unrestricted CentralizedTE with the optimized source allocation: the marginal cost curve [(cost, units)] of the policy's\n" "cumulative flow (a zero call reports it unchanged; None before the epoch's first positive\n" "call); in ascending cost, delivering `units` more raised the minimum total flow cost by `cost`\n" "per unit (more delivery can reroute earlier flow, so these are not the costs of the final\n" - "paths). None for the other models and the equal origin") + "paths). None for the other models and the equal source allocation") .def_property_readonly( + "edge_flows", [](const PlacementResult& r) -> py::object { return r.edge_flows ? py::object(int64_array(*r.edge_flows)) : py::object(py::none()); @@ -260,31 +293,33 @@ void register_placement_result(py::module_& m) { "if requested: the policy's own allocation per edge after the call (int64[E], EdgeId order),\n" "else None") .def_property_readonly( + "residual", [](const PlacementResult& r) -> py::object { return r.residual ? py::object(int64_array(*r.residual)) : py::object(py::none()); }, "if requested: the ledger's residual after the call (int64[E], EdgeId order), else None") .def_property_readonly( - "reservation_edge_flows", + "edge_reservations", [](const PlacementResult& r) -> py::object { - return r.reservation_edge_flows ? py::object(int64_array(*r.reservation_edge_flows)) : py::object(py::none()); + return r.edge_reservations ? py::object(int64_array(*r.edge_reservations)) : py::object(py::none()); }, "if requested: the policy's own strict holds per edge after the call (int64[E], EdgeId order; zeros\n" "for a model without holds), else None") - .def_readonly("bottleneck", &PlacementResult::bottleneck, - "if requested: the ledger's saturation report after the call (FlowLedger.bottleneck of the\n" + .def_readonly("saturated_boundary_edges", &PlacementResult::saturated_boundary_edges, + "if requested: the ledger's saturation report after the call\n" + "(FlowLedger.saturated_boundary_edges of the " "policy's sources and Eligibility), else None") .def_readonly("min_cut", &PlacementResult::min_cut, - "if requested (OutputOptions(min_cut=True)), unrestricted Global with the optimized origin, when the solve\n" + "if requested (OutputOptions(min_cut=True)), unrestricted CentralizedTE with the optimized source allocation, when the solve\n" "reached the maximum flow: the minimum cut closest to the sources, every allowed edge leaving\n" "the nodes the roster sources reach in the residual network (free capacity plus the policy's\n" "own allocation), an edge with nothing free (capacity 0, or held by others) included,\n" - "ascending EdgeId; [] for an empty roster. None otherwise (another model, the equal origin, a\n" + "ascending EdgeId; [] for an empty roster. None otherwise (another model, the equal source allocation, a\n" "support, a call below the maximum, a zero call, forward)") .def("__repr__", [](const PlacementResult& r) { - return "PlacementResult(placed=" + std::to_string(r.placed) + ", termination=" + - std::string(py::str(py::cast(r.termination).attr("name"))) + ")"; + return "PlacementResult(call_delivered=" + std::to_string(r.call_delivered) + ", termination=" + + termination_name(r.termination) + ")"; }); } diff --git a/bindings/python/policy_config.cpp b/bindings/python/policy_config.cpp deleted file mode 100644 index 4926dfd..0000000 --- a/bindings/python/policy_config.cpp +++ /dev/null @@ -1,125 +0,0 @@ -// FlowPolicyConfig and OutputOptions: the configuration of a placement. -#include -#include - -#include -#include -#include -#include -#include -#include - -#include "netgraph/core/flow_policy.hpp" -#include "netgraph/core/options.hpp" -#include "integers.hpp" -#include "registration.hpp" - -namespace py = pybind11; - -namespace netgraph::core::bindings { - -namespace { - -Routing routing_of(const py::object& obj) { - if (py::isinstance(obj)) return obj.cast(); - if (py::isinstance(obj)) return obj.cast(); - if (py::isinstance(obj)) return obj.cast(); - if (py::isinstance(obj)) return obj.cast(); - throw py::type_error("routing must be CostOnly, CapacityAware, Global or Pinned (got " + - std::string(py::str(py::type::of(obj).attr("__name__"))) + ")"); -} - -py::object routing_obj(const Routing& r) { - return std::visit([](const auto& x) { return py::cast(x); }, r); -} - -} // namespace - -void register_policy_config(py::module_& m) { - py::class_( - m, "FlowPolicyConfig", - "One demand's settings: routing (CostOnly, CapacityAware (T1), Global, Global(tunnels=...) (T2) or\n" - "Pinned), placement (FlowPlacement: required for CostOnly; the other models take none), admission\n" - "(LOSSLESS by default; LOSSY for CostOnly EQUAL_BALANCED and WEIGHTED, T1, T2 and Pinned), selection\n" - "(PathSelection; None: PathSelection(); Global, T2 included, and Pinned take none; T1 reads tie_break,\n" - "priority and multi_edge and rejects multipath=True), origin (Origin; None: the model's default, EQUAL for CostOnly EQUAL_BALANCED and WEIGHTED, T1 and T2,\n" - "OPTIMIZED for CostOnly MAX_FLOW and Global; T2 takes OPTIMIZED with one input source only, the same\n" - "calculation; Pinned takes none, its program has it), weights (WeightBasis, CostOnly WEIGHTED only;\n" - "None: CAPACITY) and edge_weights (one integer per edge, given exactly when weights=EXPLICIT; one\n" - "array shared by every policy built from this configuration). A field that does not apply to the model must stay None. The combination is checked\n" - "when a policy or an evaluator uses the configuration (ValueError): the enumeration values, then the\n" - "model's row (Global: a selection first, then support and tunnels together, then prefer_headroom\n" - "without tunnels; T1: an up_to count; then placement, origin,\n" - "admission, selection, weights with edge_weights), then a DagCache (only CostOnly reads one), then\n" - "the tunnel models' parameters (the tunnel count in [1, 10000]; T1's max_path_cost and\n" - "min_unreserved_bandwidth), then edge_weights' length and entries, then the roster and count rules\n" - "(CostOnly with several input sources rejects multipath=False with PREFER_HIGHER_PRIORITY; T2 with\n" - "several input sources rejects OPTIMIZED; roster heads times the tunnel count at most 2^30 - 1).") - .def(py::init([](const py::object& routing, std::optional placement, Admission admission, - std::optional selection, std::optional origin, - std::optional weights, const py::object& edge_weights) { - FlowPolicyConfig cfg {routing_of(routing), placement, admission, selection, origin, weights, {}}; - if (!edge_weights.is_none()) { - // Converted once and shared: every policy copied from this configuration reads the same - // array. An entry beyond int64 is outside the domain here; the policy checks the rest. - (void)sequence_length(edge_weights, "edge_weights"); - const auto w = wide_integers(edge_weights, "edge_weights"); - for (std::size_t e = 0; e < w.size(); ++e) { - if (w.sign(e) != 0) throw py::value_error("edge_weights[" + std::to_string(e) + "] must be an integer in [0, 2^62)"); - } - cfg.edge_weights = std::make_shared>(w.narrow()); - } - return cfg; - }), - py::kw_only(), py::arg("routing"), py::arg("placement") = py::none(), - py::arg_v("admission", Admission::Lossless, "Admission.LOSSLESS"), py::arg("selection") = py::none(), - py::arg("origin") = py::none(), py::arg("weights") = py::none(), py::arg("edge_weights") = py::none()) - .def_property_readonly( - "routing", [](const FlowPolicyConfig& c) { return routing_obj(c.routing); }, - "the routing mode: CostOnly, CapacityAware, Global or Pinned") - .def_readonly("placement", &FlowPolicyConfig::placement, "the FlowPlacement, or None (Global, Pinned)") - .def_readonly("admission", &FlowPolicyConfig::admission, "LOSSLESS or LOSSY") - .def_readonly("selection", &FlowPolicyConfig::selection, - "the PathSelection, or None (a policy's config: PathSelection() resolved; Global, Pinned: None)") - .def_readonly("origin", &FlowPolicyConfig::origin, - "the Origin, or None (a policy's config: the model's default resolved; Pinned: None)") - .def_readonly("weights", &FlowPolicyConfig::weights, - "the WeightBasis, or None (a policy's config: CAPACITY resolved for CostOnly WEIGHTED)") - .def_property_readonly( - "edge_weights", - [](const FlowPolicyConfig& c) -> py::object { - if (!c.edge_weights) return py::none(); - return py::tuple(py::cast(*c.edge_weights)); - }, - "the explicit weights (one per edge, a tuple), or None") - .def("__repr__", [](const FlowPolicyConfig& c) { - return "FlowPolicyConfig(routing=" + std::string(py::repr(routing_obj(c.routing))) + ")"; - }); - - py::class_(m, "OutputOptions", - "Optional outputs of a placement (all false by default; absent outputs are None):\n" - "edge_flows (the policy's own allocation per edge after the call), residual and\n" - "bottleneck (the ledger's after the call), reservation_edge_flows (the policy's own strict\n" - "holds per edge after the call; zeros for a model without holds), and min_cut (Global with\n" - "the optimized origin, when its solve reached the maximum flow; None for every other\n" - "model, origin or call).") - .def(py::init([](bool edge_flows, bool residual, bool bottleneck, bool reservation_edge_flows, bool min_cut) { - OutputOptions o; - o.edge_flows = edge_flows; - o.residual = residual; - o.bottleneck = bottleneck; - o.reservation_edge_flows = reservation_edge_flows; - o.min_cut = min_cut; - return o; - }), - py::kw_only(), py::arg("edge_flows") = false, py::arg("residual") = false, py::arg("bottleneck") = false, - py::arg("reservation_edge_flows") = false, py::arg("min_cut") = false) - .def_readonly("edge_flows", &OutputOptions::edge_flows, "request PlacementResult.edge_flows") - .def_readonly("residual", &OutputOptions::residual, "request PlacementResult.residual") - .def_readonly("bottleneck", &OutputOptions::bottleneck, "request PlacementResult.bottleneck") - .def_readonly("reservation_edge_flows", &OutputOptions::reservation_edge_flows, - "request PlacementResult.reservation_edge_flows") - .def_readonly("min_cut", &OutputOptions::min_cut, "request PlacementResult.min_cut"); -} - -} // namespace netgraph::core::bindings diff --git a/bindings/python/pred_dag.cpp b/bindings/python/predecessor_dag.cpp similarity index 63% rename from bindings/python/pred_dag.cpp rename to bindings/python/predecessor_dag.cpp index a388868..6c1c185 100644 --- a/bindings/python/pred_dag.cpp +++ b/bindings/python/predecessor_dag.cpp @@ -1,4 +1,4 @@ -// PredDAG: the immutable predecessor DAG of one graph. +// PredecessorDAG: the immutable predecessor DAG of one graph. #include #include #include @@ -8,7 +8,7 @@ #include #include "netgraph/core/graph.hpp" -#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/route_structures.hpp" #include "integers.hpp" #include "values.hpp" #include "registration.hpp" @@ -21,7 +21,7 @@ namespace { // The exact order of wide integers: a positive overflow above every int64, a negative one // below, and two overflows on the same side by their exact values. -bool wide_less(const WideInts& w, std::size_t i, std::size_t j) { +bool wide_less(const CheckedIntegerVector& w, std::size_t i, std::size_t j) { if (w.sign(i) != w.sign(j)) return w.sign(i) < w.sign(j); if (w.sign(i) == 0) return w.value[i] < w.value[j]; const int less = PyObject_RichCompareBool(w.exact(i).ptr(), w.exact(j).ptr(), Py_LT); @@ -31,9 +31,9 @@ bool wide_less(const WideInts& w, std::size_t i, std::size_t j) { } // namespace -void register_pred_dag(py::module_& m) { - py::class_>( - m, "PredDAG", +void register_predecessor_dag(py::module_& m) { + py::class_>( + m, "PredecessorDAG", "Immutable route structure of one graph, a predecessor DAG (directed, no cycle): for each node v,\n" "the edges that reach v on the route and the node each comes from (its parent). The entries of v\n" "are parents()[k], via_edges()[k] for k in [parent_offsets()[v], parent_offsets()[v + 1]), in\n" @@ -41,7 +41,7 @@ void register_pred_dag(py::module_& m) { "and compare equal; DAGs of different graphs never compare equal.\n" "parents() and via_edges() are read-only views that keep the DAG alive; parent_offsets() is a new\n" "read-only array on each call (the DAG stores only the nodes that have entries). Built by\n" - "PredDAG.from_csr, Path.to_dag(), the searches and the policies (FlowRecord.bundle).") + "PredecessorDAG.from_csr, Path.to_dag(), the searches and the policies (FlowRecord.route).") .def_static( "from_csr", [](const std::shared_ptr& graph, const py::object& offsets, const py::object& parents, @@ -52,51 +52,51 @@ void register_pred_dag(py::module_& m) { // acyclic, ascending). const auto n = static_cast(graph->num_nodes()); const auto edge_count = static_cast(graph->num_edges()); - const std::size_t lo = sequence_length(offsets, "offsets"); + const std::size_t lo = sequence_length(offsets, "parent_offsets"); const std::size_t lp = sequence_length(parents, "parents"); - const std::size_t lv = sequence_length(via, "via"); + const std::size_t lv = sequence_length(via, "via_edges"); if (lo != n + 1) { - throw py::value_error("PredDAG.from_csr: offsets has length " + std::to_string(lo) + + throw py::value_error("PredecessorDAG.from_csr: parent_offsets has length " + std::to_string(lo) + ", expected N + 1 = " + std::to_string(n + 1)); } - const auto o = wide_integers(offsets, "offsets"); - if (!o.in(0, 0, 0)) throw py::value_error("PredDAG.from_csr: offsets[0] = " + o.text(0) + ", expected 0"); + const auto o = wide_integers(offsets, "parent_offsets"); + if (!o.in(0, 0, 0)) throw py::value_error("PredecessorDAG.from_csr: parent_offsets[0] = " + o.text(0) + ", expected 0"); for (std::size_t v = 0; v < n; ++v) { if (wide_less(o, v + 1, v)) { - throw py::value_error("PredDAG.from_csr: offsets are not monotone at " + std::to_string(v + 1) + " (" + + throw py::value_error("PredecessorDAG.from_csr: parent_offsets are not monotone at " + std::to_string(v + 1) + " (" + o.text(v) + " > " + o.text(v + 1) + ")"); } } if (!o.in(n, static_cast(lp), static_cast(lp)) || lp != lv) { - throw py::value_error("PredDAG.from_csr: offsets[N] = " + o.text(n) + " but parents has " + - std::to_string(lp) + " and via has " + std::to_string(lv) + " entries"); + throw py::value_error("PredecessorDAG.from_csr: parent_offsets[N] = " + o.text(n) + " but parents has " + + std::to_string(lp) + " and via_edges has " + std::to_string(lv) + " entries"); } const auto p = wide_integers(parents, "parents"); - const auto w = wide_integers(via, "via"); + const auto w = wide_integers(via, "via_edges"); for (std::size_t k = 0; k < lp; ++k) { if (!p.in(k, 0, static_cast(n) - 1)) { - throw py::value_error("PredDAG.from_csr: parents[" + std::to_string(k) + "] = " + p.text(k) + + throw py::value_error("PredecessorDAG.from_csr: parents[" + std::to_string(k) + "] = " + p.text(k) + " out of node range [0, " + std::to_string(n) + ")"); } if (!w.in(k, 0, edge_count - 1)) { - throw py::value_error("PredDAG.from_csr: via[" + std::to_string(k) + "] = " + w.text(k) + + throw py::value_error("PredecessorDAG.from_csr: via_edges[" + std::to_string(k) + "] = " + w.text(k) + " out of edge range [0, " + std::to_string(edge_count) + ")"); } } const auto ov = o.narrow(); const auto pv = p.narrow(); const auto wv = w.narrow(); - return std::make_shared(PredDAG::from_csr(*graph, ov, pv, wv)); + return std::make_shared(PredecessorDAG::from_csr(*graph, ov, pv, wv)); }, - py::arg("graph"), py::arg("offsets"), py::arg("parents"), py::arg("via"), - "Validates, in order, before any traversal (ValueError on the first defect): offsets of\n" - "length N + 1, offsets[0] == 0, monotone, offsets[N] == len(parents) == len(via); then every\n" - "parent and via in range, every via joining (parent, child), no duplicate (child, via),\n" - "acyclic; within a node the entries in ascending via EdgeId.") - .def("graph_uid", &PredDAG::graph_uid, "uid of the graph this DAG belongs to") + py::arg("graph"), py::arg("parent_offsets"), py::arg("parents"), py::arg("via_edges"), + "Validates, in order, before any traversal (ValueError on the first defect): parent_offsets of\n" + "length N + 1, parent_offsets[0] == 0, monotone, parent_offsets[N] == len(parents) ==\n" + "len(via_edges); then every parent and via edge in range, every via edge joining (parent, child),\n" + "no duplicate (child, via edge), acyclic; within a node the entries in ascending via EdgeId.") + .def("graph_uid", &PredecessorDAG::graph_uid, "uid of the graph this DAG belongs to") .def( "parent_offsets", - [](const PredDAG& d) { + [](const PredecessorDAG& d) { const auto off = d.parent_offsets(); py::array_t arr(static_cast(off.size())); std::copy(off.begin(), off.end(), arr.mutable_data()); @@ -105,21 +105,21 @@ void register_pred_dag(py::module_& m) { }, "int32[N + 1]: the entries of node v are [parent_offsets[v], parent_offsets[v + 1]); a new read-only array per call") .def( - "parents", [](const py::object& self) { return readonly_view(self.cast().parents(), self); }, + "parents", [](const py::object& self) { return readonly_view(self.cast().parents(), self); }, "int32 parent NodeId per entry (read-only view)") .def( "via_edges", - [](const py::object& self) { return readonly_view(self.cast().via_edges(), self); }, + [](const py::object& self) { return readonly_view(self.cast().via_edges(), self); }, "int32 via EdgeId per entry (read-only view)") - .def("__eq__", [](const PredDAG& a, const py::object& b) { - return py::isinstance(b) && a == b.cast(); + .def("__eq__", [](const PredecessorDAG& a, const py::object& b) { + return py::isinstance(b) && a == b.cast(); }) - .def("__hash__", [](const PredDAG& a) { + .def("__hash__", [](const PredecessorDAG& a) { return py::hash(py::make_tuple(a.graph_uid(), py::tuple(py::cast(std::vector(a.via_edges().begin(), a.via_edges().end()))))); }) - .def("__repr__", [](const PredDAG& a) { - return "PredDAG(graph_uid=" + std::to_string(a.graph_uid()) + ", entries=" + + .def("__repr__", [](const PredecessorDAG& a) { + return "PredecessorDAG(graph_uid=" + std::to_string(a.graph_uid()) + ", entries=" + std::to_string(a.via_edges().size()) + ")"; }); } diff --git a/bindings/python/program.cpp b/bindings/python/program.cpp deleted file mode 100644 index 5d6c14f..0000000 --- a/bindings/python/program.cpp +++ /dev/null @@ -1,211 +0,0 @@ -// Forwarding programs: TunnelStatus, Tunnel, Route and ForwardingProgram with from_routes. -#include -#include -#include - -#include -#include -#include -#include -#include -#include -#include - -#include "netgraph/core/detail/endpoints.hpp" -#include "netgraph/core/detail/program_data.hpp" -#include "netgraph/core/graph.hpp" -#include "netgraph/core/pred_dag.hpp" -#include "netgraph/core/program.hpp" -#include "integers.hpp" -#include "values.hpp" -#include "publication.hpp" -#include "registration.hpp" - -namespace py = pybind11; - -namespace netgraph::core::bindings { - -namespace { - -py::typing::Union bundle_obj(const Route& r) { - py::object out = std::holds_alternative>(r.bundle) - ? shared_object(std::get>(r.bundle)) - : shared_object(std::get>(r.bundle)); - return py::reinterpret_steal>(out.release()); -} - - -// A per-edge integer argument of from_routes read without narrowing (its type defects raise -// here); its values are checked later, in the order of the call's validation. -std::optional wide_or_none(const py::object& obj, const char* name) { - if (obj.is_none()) return std::nullopt; - (void)sequence_length(obj, name); - return wide_integers(obj, name); -} - -} // namespace - -void register_program(py::module_& m) { - py::enum_(m, "TunnelStatus", - "A tunnel's state. UP; NO_BANDWIDTH and COST_CEILING: T1's setup left it down (no path passes\n" - "the bandwidth filter, or the cheapest exceeds the cost ceiling): no path, weight 0, and it\n" - "stays down in every forwarding of its program; and in one forwarding only (a by_tunnel row)\n" - "FAILED: its path touches a node or an edge the forwarding policy's Eligibility excludes, so it\n" - "gets nothing and its head splits over its other entries (replay), and BLACKHOLED: up, but its\n" - "path reaches a black hole of stale forwarding, where its traffic is dropped.") - .value("UP", TunnelStatus::Up) - .value("NO_BANDWIDTH", TunnelStatus::NoBandwidth) - .value("COST_CEILING", TunnelStatus::CostCeiling) - .value("FAILED", TunnelStatus::Failed) - .value("BLACKHOLED", TunnelStatus::Blackholed); - - py::class_(m, "Tunnel", - "One tunnel (a path entry) of a ForwardingProgram, read-only. index: the entry identifier (T1 and\n" - "T2: j*H + i for round j and roster position i, T2's dead heads leaving holes; Global and CostOnly\n" - "MAX_FLOW: the path's position in the decomposition order; supplied routes: the route's position in\n" - "the list), never a position in program.tunnels; head; local_index: its position among the head's entries of both kinds;\n" - "destination: where its path ends; edges: its EdgeIds in path order; route_cost: the sum of their\n" - "costs (all three None for a tunnel that is down); status: UP, NO_BANDWIDTH or COST_CEILING;\n" - "requested and reserved: T1's strict bandwidth (its request, and what it holds on every link of\n" - "its path: the request when UP, else 0; 0 for the other models); planned: T2's planned bandwidth\n" - "u (metadata, never held; 0 for the other models); weight: its integer share among the head's\n" - "entries (T1: 1 up, 0 down; T2: 1; a controller path: its solved amount).") - .def_readonly("index", &Tunnel::index) - .def_readonly("head", &Tunnel::head) - .def_readonly("local_index", &Tunnel::local_index) - .def_readonly("destination", &Tunnel::destination) - .def_property_readonly( - "edges", - [](const Tunnel& t) -> py::object { - return t.edges.has_value() ? py::object(py::tuple(py::cast(*t.edges))) : py::object(py::none()); - }, - "the path's EdgeIds in path order; None for a tunnel that is down") - .def_readonly("route_cost", &Tunnel::route_cost) - .def_property_readonly("status", [](const Tunnel& t) { return typed_object(t.status); }) - .def_readonly("requested", &Tunnel::requested) - .def_readonly("reserved", &Tunnel::reserved) - .def_readonly("planned", &Tunnel::planned) - .def_readonly("weight", &Tunnel::weight) - .def("__repr__", [](const Tunnel& t) { - return "Tunnel(index=" + std::to_string(t.index) + ", head=" + std::to_string(t.head) + - ", weight=" + std::to_string(t.weight) + ")"; - }); - - py::class_(m, "Route", - "A supplied route for ForwardingProgram.from_routes: a Path with one edge per hop (a tunnel) or a\n" - "PredDAG (a split route) starting at `head`; weight is its integer share among the head's routes\n" - "(0 allowed: it carries nothing). from_routes validates it.") - .def(py::init([](const py::object& head, const py::object& bundle, const py::object& weight) { - Route r; - r.head = static_cast(integer_value(head, std::numeric_limits::min(), - std::numeric_limits::max(), "head")); - if (py::isinstance(bundle)) { - r.bundle = std::shared_ptr(bundle.cast>()); - } else if (py::isinstance(bundle)) { - r.bundle = std::shared_ptr(bundle.cast>()); - } else { - throw py::type_error("Route bundle must be a Path or a PredDAG (got " + - std::string(py::str(py::type::of(bundle).attr("__name__"))) + ")"); - } - r.weight = integer_value(weight, std::numeric_limits::min(), std::numeric_limits::max(), - "weight"); - return r; - }), - py::arg("head"), py::arg("bundle"), py::kw_only(), py::arg("weight") = 1, - "Route(head, bundle, *, weight=1): head a NodeId, bundle a Path or a PredDAG (TypeError otherwise),\n" - "weight an integer (checked in [0, 2^62) by from_routes).") - .def_readonly("head", &Route::head, "the route's head (a source of the program)") - .def_property_readonly("bundle", &bundle_obj, "the Path (a tunnel) or the PredDAG (a split route)") - .def_readonly("weight", &Route::weight, "the route's integer share among the head's routes") - .def("__repr__", [](const Route& r) { - return "Route(head=" + std::to_string(r.head) + ", weight=" + std::to_string(r.weight) + ")"; - }); - - py::class_>( - m, "ForwardingProgram", - "An immutable value: one demand's routes and integer weights. sources and destinations (the normalized\n" - "sets); tunnels: the path entries in ascending index (split routes are not listed); source_weights: the\n" - "captured source supplies ((source, weight) for every roster source, ascending) of the optimized\n" - "controllers, None for equal sources (round robin over the roster). Each head splits its share by\n" - "highest averages over its entries' weights; identical routes are never merged. CostOnly and Global\n" - "produce one (FlowPolicy.program, PlacementResult.program), and so do T1 and T2 (their tunnels);\n" - "from_routes builds one from given routes; Pinned forwards one. No public constructor.") - .def_property_readonly( - "sources", [](const ForwardingProgram& p) { return ints_tuple(p.sources()); }, "the source set, ascending") - .def_property_readonly( - "destinations", [](const ForwardingProgram& p) { return ints_tuple(p.destinations()); }, - "the destination set, ascending") - .def_property_readonly( - "tunnels", - [](const ForwardingProgram& p) { - const auto t = p.tunnels(); - return tuple_of(std::vector(t.begin(), t.end())); - }, - "the program's tunnels (Tunnel), ascending index") - .def_property_readonly( - "source_weights", - [](const ForwardingProgram& p) -> py::object { - const auto& w = p.source_weights(); - if (!w.has_value()) return py::none(); - py::tuple out(w->size()); - for (std::size_t i = 0; i < w->size(); ++i) out[i] = py::make_tuple((*w)[i].first, (*w)[i].second); - return out; - }, - "the captured source weights ((source, weight), ascending), or None for equal sources") - .def_static( - "from_routes", - [](const std::shared_ptr& graph, const py::object& sources, const py::object& destinations, - const py::object& routes, std::optional placement, std::optional weights, - const py::object& edge_weights, const py::object& residual) { - if (!graph) throw py::value_error("graph must be a Graph"); - // Conversion first (TypeError and integer type defects), then the validation order of - // from_routes; the values beyond int64 are checked here in that order. - if (not_a_sequence(routes)) throw py::type_error("routes must be a sequence of Route"); - std::vector rs; - for (const auto& item : py::reinterpret_borrow(routes)) { - if (!py::isinstance(item)) throw py::type_error("routes must be a sequence of Route"); - rs.push_back(item.cast()); - } - const auto ew = wide_or_none(edge_weights, "edge_weights"); - const auto rw = wide_or_none(residual, "residual"); - const auto n = graph->num_nodes(); - const auto s = detail::node_set(node_ids(sources, n, "sources"), n, "sources"); - const auto d = detail::node_set(node_ids(destinations, n, "destinations"), n, "destinations"); - detail::check_disjoint(s, d, "sources", "destinations"); - if (rs.empty()) throw py::value_error("routes must not be empty"); - bool any_dag = false; - for (const auto& r : rs) any_dag = any_dag || std::holds_alternative>(r.bundle); - detail::check_route_options(any_dag, placement, weights, ew.has_value(), rw.has_value()); - RouteOptions options; - options.placement = placement; - options.weights = weights; - const auto E = static_cast(graph->num_edges()); - if (ew.has_value()) { - if (ew->size() != E) throw py::value_error("edge_weights: expected " + std::to_string(E) + " entries"); - for (std::size_t e = 0; e < E; ++e) { - if (!ew->in(e, 0, kDomainLimit - 1)) { - throw py::value_error("edge_weights[" + std::to_string(e) + "] must be an integer in [0, 2^62)"); - } - } - options.edge_weights = ew->narrow(); - } - if (rw.has_value()) options.residual = edge_amounts(residual, *graph, "residual", "residual (units)").narrow(); - return typed_shared(ForwardingProgram::from_routes(*graph, s, d, rs, options)); - }, - py::arg("graph"), py::arg("sources"), py::arg("destinations"), py::arg("routes"), py::kw_only(), - py::arg("placement") = py::none(), py::arg("weights") = py::none(), py::arg("edge_weights") = py::none(), - py::arg("residual") = py::none(), - "Validate and freeze supplied routes -> ForwardingProgram (ValueError for the first failure, in this\n" - "order): the endpoint sets; `routes must not be empty`; when no route is a PredDAG, any option given\n" - "(` applies only to PredDAG routes`); placement MAX_FLOW\n" - "(`from_routes placement must be EQUAL_BALANCED or WEIGHTED`); weights only with placement=WEIGHTED,\n" - "EXPLICIT with edge_weights, RESIDUAL_SNAPSHOT with residual; edge_weights' length and entries in [0,\n" - "2^62) and residual's (one entry per edge in [0, capacity]); then each route in list order: its\n" - "bundle's graph, its head a source, a Path with one edge per hop that starts at the head, ends at a\n" - "destination and meets none before, a PredDAG with a walk from the head to a destination, its weight\n" - "in [0, 2^62). Order and duplicates are kept; a route of weight 0 is validated in full. placement\n" - "(None: EQUAL_BALANCED) is the interior split of the PredDAG routes; each split route is its own\n" - "split context (a router splits only that route's share). The roster is the sources with a route."); -} - -} // namespace netgraph::core::bindings diff --git a/bindings/python/publication.hpp b/bindings/python/publication.hpp index 2ae2627..d1f4958 100644 --- a/bindings/python/publication.hpp +++ b/bindings/python/publication.hpp @@ -27,7 +27,7 @@ namespace netgraph::core::bindings { // generic move-cast (type_caster_generic::cast) but with the object allocation checked: // pybind11's make_new_instance uses the result of tp_alloc unchecked, so a failed Python // allocation there is a crash rather than a MemoryError. Holder is the class's holder type -// (std::unique_ptr by default, std::shared_ptr for PredDAG and Path); another type is +// (std::unique_ptr by default, std::shared_ptr for PredecessorDAG and Path); another type is // refused before anything is made. // The steps, in order (new_object and object_from both use them): (1) allocate the object and // check for null; (2) hold it in `obj` at once, so any later failure releases it; (3) allocate @@ -76,9 +76,7 @@ static_assert(std::is_nothrow_move_assignable_v); template py::object object_of(T value) { - auto [obj, slot] = new_object(); - *slot = std::move(value); - return std::move(obj); + return emplace_object>(std::move(value)).first; } // A tuple of new Python objects of the bound class T, one per row (object_of each): a failed @@ -96,7 +94,7 @@ py::tuple tuple_of(const std::vector& rows) { } // A new Python object of the bound class T (held by std::shared_ptr) owning `value`, through the -// same checked allocation as new_object: for the values without a default constructor (PredDAG, +// same checked allocation as new_object: for the values without a default constructor (PredecessorDAG, // Path) that a search returns. A failure raises and releases everything made so far. template py::object object_from(T value) { @@ -140,11 +138,11 @@ py::object shared_object(std::shared_ptr holder) { // A py::object known to be a T, for signatures: pybind11 names it as T (the specialization of // handle_type_name below), so a binding that returns shared_object's result keeps its type. template -class Typed : public py::object { +class TypedPythonObject : public py::object { public: - Typed() = default; - Typed(py::handle h, py::object::stolen_t) : py::object(h, py::object::stolen_t {}) {} - Typed(py::handle h, py::object::borrowed_t) : py::object(h, py::object::borrowed_t {}) {} + TypedPythonObject() = default; + TypedPythonObject(py::handle h, py::object::stolen_t) : py::object(h, py::object::stolen_t {}) {} + TypedPythonObject(py::handle h, py::object::borrowed_t) : py::object(h, py::object::borrowed_t {}) {} static bool check_(py::handle h) { return py::isinstance(h); } }; @@ -152,8 +150,8 @@ class Typed : public py::object { // value or None. pybind11's cast of a bound value, a vector or an optional of them allocates the // object unchecked. template -Typed typed_object(T value) { - return py::reinterpret_steal>(object_of(std::move(value)).release()); +TypedPythonObject typed_object(T value) { + return py::reinterpret_steal>(object_of(std::move(value)).release()); } template py::typing::List list_of(const std::vector& rows) { @@ -173,23 +171,41 @@ py::typing::Optional optional_of(const std::optional& value) { // shared_object(holder) as a T (holder not null) or as T | None. template -Typed> typed_shared(std::shared_ptr holder) { - return py::reinterpret_steal>>(shared_object(std::move(holder)).release()); +TypedPythonObject> typed_shared(std::shared_ptr holder) { + return py::reinterpret_steal>>(shared_object(std::move(holder)).release()); } template py::typing::Optional> optional_shared(std::shared_ptr holder) { return py::reinterpret_steal>>(shared_object(std::move(holder)).release()); } +// The getters of read-only fields whose values are Python objects of bound classes or +// enumerations: def_readonly casts them through pybind11's unchecked allocation (a failed Python +// allocation is a crash); these make them through the checked one above. A field of a bound value +// or enumeration, an optional one, a shared one (its registered object, or None) and a vector of +// bound values (a list). +template +auto field_object(D C::*member) { + return [member](const C& c) { return typed_object(c.*member); }; +} +template +auto optional_field(std::optional C::*member) { + return [member](const C& c) { return optional_of(c.*member); }; +} +template +auto shared_field(std::shared_ptr C::*member) { + return [member](const C& c) { return optional_shared(c.*member); }; +} +template +auto list_field(std::vector C::*member) { + return [member](const C& c) { return list_of(c.*member); }; +} + } // namespace netgraph::core::bindings namespace pybind11::detail { template -struct handle_type_name> { +struct handle_type_name> { static constexpr auto name = make_caster::name; }; } // namespace pybind11::detail - -namespace netgraph::core::bindings { - -} // namespace netgraph::core::bindings diff --git a/bindings/python/registration.hpp b/bindings/python/registration.hpp index 0069414..dd262dc 100644 --- a/bindings/python/registration.hpp +++ b/bindings/python/registration.hpp @@ -2,7 +2,7 @@ The registration functions of the module _netgraph_core, one file each under bindings/python/. The module entry (module.cpp) calls them in this order, which is the order of the module's attributes: a default argument or a conversion of a later binding needs the types registered - before it. The private recorder entry (_place_global_units) is registered + before it. The private recorder entry (_solve_min_cost_flow) is registered in both builds; only register_private_hooks and the private members of FlowLedger and FlowPolicy depend on NETGRAPH_CORE_PRIVATE_HOOKS. */ @@ -16,22 +16,22 @@ namespace netgraph::core::bindings { -void register_axes(pybind11::module_& m); // the axes' enumerations, PathSelection +void register_options(pybind11::module_& m); // the axes' enumerations void register_units(pybind11::module_& m); // to_units, as_float void register_eligibility(pybind11::module_& m); // Eligibility void register_graph(pybind11::module_& m); // Graph -void register_recorder(pybind11::module_& m); // _place_global_units (both builds) -void register_pred_dag(pybind11::module_& m); // PredDAG +void register_flow_solver_hook(pybind11::module_& m); // _solve_min_cost_flow (both builds) +void register_predecessor_dag(pybind11::module_& m); // PredecessorDAG void register_path(pybind11::module_& m); // Path void register_flow_record(pybind11::module_& m); // FlowRecord void register_flow_ledger(pybind11::module_& m); // FlowLedger -void register_program(pybind11::module_& m); // TunnelStatus, Tunnel, Route, ForwardingProgram -void register_routing(pybind11::module_& m); // Absolute, Stretch, Tunnels, the four routings +void register_program(pybind11::module_& m); // TunnelStatus, Tunnel, RouteDefinition, ForwardingProgram +void register_routing(pybind11::module_& m); // AbsoluteCost, CostStretch, Tunnels, the four routings void register_policy_config(pybind11::module_& m); // FlowPolicyConfig, OutputOptions void register_placement_result(pybind11::module_& m); // Termination, SourceFlow, TunnelFlow, PlacementResult -void register_dag_cache(pybind11::module_& m); // DagCacheStats, DagCacheMiss, DagCache +void register_shortest_path_cache(pybind11::module_& m); // ShortestPathCacheStats, ShortestPathCacheMiss, ShortestPathCache void register_flow_policy(pybind11::module_& m); // FlowPolicy -void register_evaluators(pybind11::module_& m); // capacity, batch_capacity, sensitivity and their types +void register_evaluators(pybind11::module_& m); // evaluate_demand, evaluate_pairs, evaluate_edge_failures and their types void register_paths(pybind11::module_& m); // KspOptions, ksp, resolve_to_paths void register_search(pybind11::module_& m); // UNREACHABLE, SpfOptions, SpfResult, spf #if NETGRAPH_CORE_PRIVATE_HOOKS diff --git a/bindings/python/routing.cpp b/bindings/python/routing.cpp deleted file mode 100644 index 832cd0c..0000000 --- a/bindings/python/routing.cpp +++ /dev/null @@ -1,289 +0,0 @@ -// The routing modes of a policy (CostOnly, CapacityAware, Global, Pinned) and their parameters: -// the cost ceilings Absolute and Stretch, the tunnel count Tunnels, Global's support and Pinned's -// program and black holes. -#include -#include -#include - -#include -#include -#include -#include -#include -#include - -#include "netgraph/core/flow_policy.hpp" -#include "netgraph/core/options.hpp" -#include "netgraph/core/eligibility.hpp" -#include "netgraph/core/pred_dag.hpp" -#include "netgraph/core/program.hpp" -#include "integers.hpp" -#include "publication.hpp" -#include "registration.hpp" - -namespace py = pybind11; - -namespace netgraph::core::bindings { - -namespace { - -// An optional int field of [lo, hi] (None allowed when `optional`); bools and floats rejected. -std::optional int_field(const py::object& obj, std::int64_t lo, std::int64_t hi, const std::string& what, - bool optional) { - if (obj.is_none()) { - if (optional) return std::nullopt; - throw py::value_error(what + " must be an integer (got None)"); - } - return integer_value(obj, lo, hi, what); -} - -// A float field: a Python float, an integer or a NumPy floating scalar; bools and other types -// rejected. The conversion order is Python's float(): a float as it is, then the object's own -// __float__, then its __index__. A Python integer beyond the finite doubles (the int itself, or the -// one its __index__ returned) is outside the field's domain (ValueError); every exception raised by -// the object's own __float__ or __index__, OverflowError included, propagates as raised. -double float_field(const py::object& obj, const std::string& what) { - if (is_bool(obj) || !(py::isinstance(obj) || PyIndex_Check(obj.ptr()) || - py::isinstance(obj, py::module_::import("numpy").attr("floating")))) { - throw py::value_error(what + " must be a number (got " + std::string(py::str(py::type::of(obj).attr("__name__"))) + - ")"); - } - if (PyFloat_Check(obj.ptr())) return PyFloat_AS_DOUBLE(obj.ptr()); - const PyNumberMethods* nb = Py_TYPE(obj.ptr())->tp_as_number; - const bool own_float = nb != nullptr && nb->nb_float != nullptr && nb->nb_float != PyLong_Type.tp_as_number->nb_float; - if (own_float) { // the object's own __float__ (a NumPy scalar, a class defining it) - const double x = PyFloat_AsDouble(obj.ptr()); - if (x == -1.0 && PyErr_Occurred() != nullptr) throw py::error_already_set(); - return x; - } - // A Python int (int's own __float__ only narrows it), or an object converted by its __index__. - py::object idx = py::reinterpret_borrow(obj); - if (!PyLong_Check(obj.ptr())) { - idx = py::reinterpret_steal(PyNumber_Index(obj.ptr())); - if (!idx) throw py::error_already_set(); - } - const double x = PyLong_AsDouble(idx.ptr()); - if (x == -1.0 && PyErr_Occurred() != nullptr) { - if (!PyErr_ExceptionMatches(PyExc_OverflowError)) throw py::error_already_set(); - PyErr_Clear(); - throw py::value_error(what + " must be a number in the float range (got an integer beyond the largest finite float)"); - } - return x; -} - -} // namespace - -void register_routing(py::module_& m) { - py::class_(m, "Absolute", "Cost ceiling: an absolute, inclusive path-cost budget (cost >= 0).") - .def(py::init([](const py::object& cost) { - return Absolute {*int_field(cost, std::numeric_limits::min(), std::numeric_limits::max(), - "Absolute cost", false)}; - }), - py::arg("cost"), "Absolute(cost): a 64-bit integer budget in cost units (checked >= 0 where it is used)") - .def_readonly("cost", &Absolute::cost, "the budget: a path qualifies when its cost is at most this") - .def("__eq__", [](const Absolute& a, const py::object& b) { return py::isinstance(b) && a == b.cast(); }) - .def("__hash__", [](const Absolute& a) { return py::hash(py::make_tuple("Absolute", a.cost)); }) - .def("__repr__", [](const Absolute& a) { return "Absolute(" + std::to_string(a.cost) + ")"; }); - - py::class_(m, "Stretch", - "Cost ceiling: a route qualifies when its cost is at most factor times the static shortest cost\n" - "under the Eligibility; factor is in [1, inf), and the float is compared exactly, without rounding.") - .def(py::init([](const py::object& factor) { return Stretch {float_field(factor, "Stretch factor")}; }), - py::arg("factor"), - "Stretch(factor): a number, checked finite and >= 1 where it is used; a path qualifies when its\n" - "cost is at most factor times the static shortest cost. Here, an integer beyond the largest finite\n" - "float raises ValueError.") - .def_readonly("factor", &Stretch::factor, "the factor as a float") - .def("__eq__", [](const Stretch& a, const py::object& b) { return py::isinstance(b) && a == b.cast(); }) - .def("__hash__", [](const Stretch& a) { return py::hash(py::make_tuple("Stretch", a.factor)); }) - .def("__repr__", [](const Stretch& a) { return "Stretch(" + std::string(py::str(py::float_(a.factor))) + ")"; }); - - py::class_(m, "Tunnels", - "The tunnel count of T1 (CapacityAware) and T2, per head: count in [1, 10000] (checked when a\n" - "policy or an evaluator uses it). up_to=True (T2 only; T1 rejects it): one common count k in\n" - "1..count for every head, the smallest that delivers the design.") - .def(py::init([](const py::object& count, bool up_to) { - return Tunnels {*int_field(count, std::numeric_limits::min(), - std::numeric_limits::max(), "tunnel count", false), - up_to}; - }), - py::arg("count"), py::kw_only(), py::arg("up_to") = false, - "Tunnels(count, *, up_to=False): a 64-bit integer count (a bool, a float or an integer outside 64 bits\n" - "raises ValueError here; [1, 10000] is checked where it is used) and a bool") - .def_readonly("count", &Tunnels::count, "the tunnels per head (the largest count for up_to)") - .def_readonly("up_to", &Tunnels::up_to, "True: the smallest sufficient count up to `count` (T2 only)") - .def("__eq__", [](const Tunnels& a, const py::object& b) { return py::isinstance(b) && a == b.cast(); }) - .def("__hash__", [](const Tunnels& a) { return py::hash(py::make_tuple("Tunnels", a.count, a.up_to)); }) - .def("__repr__", [](const Tunnels& a) { - return "Tunnels(" + std::to_string(a.count) + (a.up_to ? ", up_to=True)" : ")"); - }); - - py::class_(m, "CostOnly", - "Routing like IGP forwarding (OSPF, IS-IS routers) on each roster source's static shortest-path\n" - "DAG (read from the DagCache; the selection is applied at the epoch's first positive call),\n" - "fixed for the epoch; one record per roster source. EQUAL_BALANCED and WEIGHTED pool the sources\n" - "(origin EQUAL): where their routes meet, a router splits their traffic once. MAX_FLOW is a\n" - "controller on the union of those routes (origin OPTIMIZED or EQUAL). An edge of capacity 0\n" - "stays in the DAG: EQUAL_BALANCED still sends it its share, which it cannot carry, and WEIGHTED\n" - "gives it weight 0.") - .def(py::init<>(), "CostOnly routing (no parameters)") - .def("__repr__", [](const CostOnly&) { return std::string("CostOnly()"); }); - - py::class_( - m, "CapacityAware", - "T1: every head sets up its own strict tunnels by CSPF, no controller (like RSVP-TE head ends).\n" - "The design volume D is split equally over the roster heads and each head's share equally over its\n" - "tunnels.count tunnels; in round order (round j, heads ascending: tunnel index j*H + i) each tunnel\n" - "keeps the allowed links whose unreserved capacity (the ledger's, minus the holds of every other\n" - "owner and of this setup's earlier tunnels) is at least max(request, min_unreserved_bandwidth) (a\n" - "request of 0 with a minimum of 0 has no filter) and takes the shortest path in the selection's\n" - "single-path order; it comes up holding exactly its request on every link (UP), or stays down\n" - "holding nothing: NO_BANDWIDTH (no path passes the filter) or COST_CEILING (the cheapest exceeds\n" - "max_path_cost: Absolute is inclusive; Stretch(f) is f times the smallest static shortest cost over\n" - "all roster heads). Traffic enters equally at the heads and splits equally over each head's up\n" - "tunnels; a head with no tunnel up loses its share. Holds never police traffic.") - .def(py::init([](const Tunnels& tunnels, const py::object& max_path_cost, const py::object& min_unreserved) { - CapacityAware ca; - ca.tunnels = tunnels; - if (!max_path_cost.is_none()) { - if (py::isinstance(max_path_cost)) { - ca.max_path_cost = max_path_cost.cast(); - } else if (py::isinstance(max_path_cost)) { - ca.max_path_cost = max_path_cost.cast(); - } else { - throw py::type_error("max_path_cost must be Absolute, Stretch or None"); - } - } - ca.min_unreserved_bandwidth = *int_field(min_unreserved, std::numeric_limits::min(), - std::numeric_limits::max(), "min_unreserved_bandwidth", - false); - return ca; - }), - py::arg("tunnels"), py::kw_only(), py::arg("max_path_cost") = py::none(), - py::arg("min_unreserved_bandwidth") = 0, - "CapacityAware(tunnels, *, max_path_cost=None, min_unreserved_bandwidth=0): the fields are checked\n" - "when a policy is built with them (the count in [1, 10000] and exact, the ceiling,\n" - "min_unreserved_bandwidth in [0, 2^62) units). Here, a min_unreserved_bandwidth of the wrong type or\n" - "outside 64 bits raises ValueError; tunnels that is not a Tunnels, a ceiling of the wrong class and\n" - "an unknown keyword raise TypeError.") - .def_property_readonly( - "tunnels", [](const CapacityAware& ca) { return typed_object(ca.tunnels); }, - "the tunnel count per head (a Tunnels)") - .def_property_readonly( - "max_path_cost", - [](const CapacityAware& ca) -> py::object { - if (!ca.max_path_cost.has_value()) return py::none(); - return std::visit([](const auto& x) { return py::cast(x); }, *ca.max_path_cost); - }, - "the inclusive route cost ceiling (Absolute or Stretch); None: no ceiling") - .def_readonly("min_unreserved_bandwidth", &CapacityAware::min_unreserved_bandwidth, - "units in [0, 2^62): a search minimum only (each attempt keeps the links with at least\n" - "max(request, this) unreserved units), never a reservation") - .def("__repr__", [](const CapacityAware& ca) { - std::string ceiling = "None"; - if (ca.max_path_cost.has_value()) { - ceiling = std::visit([](const auto& x) { return std::string(py::repr(typed_object(x))); }, *ca.max_path_cost); - } - return "CapacityAware(Tunnels(" + std::to_string(ca.tunnels.count) + (ca.tunnels.up_to ? ", up_to=True)" : ")") + - ", max_path_cost=" + ceiling + ", min_unreserved_bandwidth=" + std::to_string(ca.min_unreserved_bandwidth) + - ")"; - }); - - py::class_(m, "Global", - "Routing: an ideal central controller that sees the whole network (with `tunnels`: T2, below).\n" - "Every positive call re-solves the minimum-cost flow of what the policy already delivers plus this\n" - "call's request (placed_demand() + volume; what an earlier call could not place is not requested\n" - "again) over the eligible graph, or exactly over `support` (a PredDAG of the policy's graph, trimmed to the\n" - "walks from the sources to the allowed destinations under the Eligibility; every other edge\n" - "carries nothing), on the free capacity plus its own allocation (it may move its own traffic,\n" - "never another's). It takes no placement and no selection. Origin OPTIMIZED (the default): the\n" - "controller chooses how much enters at each source; EQUAL: every roster source sends its\n" - "round-robin share of the largest total whose shares all fit. Its program is the solve cut into\n" - "paths per source, each a tunnel weighted by its amount. A positive call on a network beyond the\n" - "flow core's int32 numbering raises ValueError (see FlowPolicy.place).\n" - "T2, Global(tunnels=Tunnels(N)) (support must be None; no selection either): a controller (like\n" - "a PCE) lays out, for every live head (one reaching a destination over links with free capacity\n" - ">= 1; the other heads are dead and lose their share), N single-path tunnels with one common\n" - "whole-unit planned bandwidth: first as large as possible (U), then for a finite design no larger\n" - "than needed (u), then the cheapest routes, then with prefer_headroom=True the routes that leave\n" - "the most spare capacity, then one fixed unit-by-unit tie. Tunnels(L, up_to=True): the smallest\n" - "common count k <= L whose program carries the design (else the best, then the smallest).\n" - "Traffic splits equally over the heads and over each head's tunnels; planned bandwidth is never\n" - "held.") - .def(py::init([](const py::object& support, const py::object& tunnels, bool prefer_headroom) { - Global gl; - gl.prefer_headroom = prefer_headroom; - if (!support.is_none()) { - if (!py::isinstance(support)) throw py::type_error("Global support must be a PredDAG or None"); - gl.support = support.cast>(); - } - if (!tunnels.is_none()) { - if (!py::isinstance(tunnels)) throw py::type_error("Global tunnels must be a Tunnels or None"); - gl.tunnels = tunnels.cast(); - } - return gl; - }), - py::kw_only(), py::arg("support") = py::none(), py::arg("tunnels") = py::none(), - py::arg("prefer_headroom") = false, - "Global(*, support=None, tunnels=None, prefer_headroom=False): support a PredDAG of the policy's\n" - "graph (checked when a policy is built with it: `support belongs to another graph`) or None for\n" - "every eligible edge; tunnels a Tunnels (T2; checked when a policy is built with it: the count in\n" - "[1, 10000], and `Global support and tunnels are mutually exclusive`) or None; prefer_headroom\n" - "(T2 only; True without tunnels raises `prefer_headroom requires tunnels` when a policy is built\n" - "with it): the headroom penalty as T2's objective after route cost") - .def_property_readonly( - "support", - [](const Global& gl) { - return optional_shared(gl.support); - }, - "the supplied support (a PredDAG), or None") - .def_property_readonly( - "tunnels", [](const Global& gl) { return optional_of(gl.tunnels); }, - "T2's tunnel count per head (a Tunnels), or None") - .def_readonly("prefer_headroom", &Global::prefer_headroom, - "True: T2 minimizes the headroom penalty after route cost (T2 only)") - .def("__repr__", [](const Global& gl) { - // Every field that is set, the invalid support-and-tunnels combination included. - std::string out; - const auto add = [&](const std::string& part) { out += (out.empty() ? "" : ", ") + part; }; - if (gl.support) add("support=..."); - if (gl.tunnels.has_value()) { - add("tunnels=Tunnels(" + std::to_string(gl.tunnels->count) + (gl.tunnels->up_to ? ", up_to=True)" : ")")); - } - if (gl.prefer_headroom) add("prefer_headroom=True"); - return "Global(" + out + ")"; - }); - - py::class_(m, "Pinned", - "Routing: forwarding over a given program, computing nothing (the program's endpoints must be\n" - "the policy's). The policy's Eligibility repairs failures: a tunnel touching an excluded element is\n" - "FAILED, a split route loses its excluded members, and the roster is rebuilt from the program's\n" - "basis (a head that no longer reaches a destination leaves the equal pool). black_holes: the nodes\n" - "and edges this Eligibility excludes are silent failures; the program is forwarded unchanged and\n" - "traffic reaching them is dropped there (stale forwarding; None: no black holes). One record per\n" - "program entry.") - .def(py::init([](const std::shared_ptr& program, const std::shared_ptr& black_holes) { - if (!program) throw py::type_error("Pinned program must be a ForwardingProgram"); - Pinned p; - p.program = program; - p.black_holes = black_holes; - return p; - }), - py::arg("program"), py::kw_only(), py::arg("black_holes") = nullptr, - "Pinned(program, *, black_holes=None): a ForwardingProgram and an Eligibility of the same graph (both\n" - "kept by reference; checked when a policy is built with them)") - .def_property_readonly( - "program", [](const Pinned& p) { return typed_shared(p.program); }, - "the forwarded program (shared, immutable)") - .def_property_readonly( - "black_holes", - [](const Pinned& p) { - return optional_shared(p.black_holes); - }, - "the black holes (an Eligibility), or None") - .def("__repr__", [](const Pinned& p) { - return "Pinned(tunnels=" + std::to_string(p.program->tunnels().size()) + ")"; - }); -} - -} // namespace netgraph::core::bindings diff --git a/bindings/python/routing_models.cpp b/bindings/python/routing_models.cpp new file mode 100644 index 0000000..121640d --- /dev/null +++ b/bindings/python/routing_models.cpp @@ -0,0 +1,416 @@ +// The routing modes of a policy (ShortestPaths, DistributedTE, CentralizedTE, Pinned) and their parameters: +// the cost ceilings AbsoluteCost and CostStretch, the tunnel count TunnelCount, CentralizedTE's support and Pinned's +// program and black holes. +#include +#include +#include + +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/flow_policy.hpp" +#include "netgraph/core/options.hpp" +#include "netgraph/core/eligibility.hpp" +#include "netgraph/core/route_structures.hpp" +#include "netgraph/core/forwarding_program.hpp" +#include "integers.hpp" +#include "strict_bool.hpp" +#include "publication.hpp" +#include "registration.hpp" +#include "values.hpp" + +namespace py = pybind11; + +namespace netgraph::core::bindings { + +namespace { + +// A RouteTieBreak as its repr spells it, without a Python object (a repr must not fail on its own +// allocations of an enum object). +const char* tie_break_repr(RouteTieBreak t) { + switch (t) { + case RouteTieBreak::FewerHops: return "RouteTieBreak.FEWER_HOPS"; + case RouteTieBreak::HigherCapacity: return "RouteTieBreak.HIGHER_CAPACITY"; + case RouteTieBreak::HigherAvailableCapacity: return "RouteTieBreak.HIGHER_AVAILABLE_CAPACITY"; + case RouteTieBreak::HigherHeadroom: return "RouteTieBreak.HIGHER_HEADROOM"; + } + return "RouteTieBreak(?)"; +} + +// The other enumerations of the models as their reprs spell them (C++ tables, as tie_break_repr). +const char* allocation_repr(RouteAllocation a) { + switch (a) { + case RouteAllocation::Equal: return "RouteAllocation.EQUAL"; + case RouteAllocation::Weighted: return "RouteAllocation.WEIGHTED"; + case RouteAllocation::Optimized: return "RouteAllocation.OPTIMIZED"; + } + return "RouteAllocation(?)"; +} +const char* source_allocation_repr(SourceAllocation a) { + switch (a) { + case SourceAllocation::Equal: return "SourceAllocation.EQUAL"; + case SourceAllocation::Optimized: return "SourceAllocation.OPTIMIZED"; + } + return "SourceAllocation(?)"; +} +const char* weight_basis_repr(WeightBasis b) { + switch (b) { + case WeightBasis::Capacity: return "WeightBasis.CAPACITY"; + case WeightBasis::Explicit: return "WeightBasis.EXPLICIT"; + case WeightBasis::ResidualSnapshot: return "WeightBasis.RESIDUAL_SNAPSHOT"; + } + return "WeightBasis(?)"; +} + +// Explicit WCMP weights, one integer per edge, converted once and shared by every policy built from +// the model: a length or type defect raises here; an entry beyond int64 is outside the domain +// (ValueError); the policy checks the length against its graph and the range [0, 2^62). +std::shared_ptr> edge_weights_of(const py::object& edge_weights) { + if (edge_weights.is_none()) return {}; + (void)sequence_length(edge_weights, "edge_weights", IntegerArgument::Configuration); + const auto w = wide_integers(edge_weights, "edge_weights", IntegerArgument::Configuration); + for (std::size_t e = 0; e < w.size(); ++e) { + if (w.sign(e) != 0) throw py::value_error("edge_weights[" + std::to_string(e) + "] must be an integer in [0, 2^62)"); + } + return std::make_shared>(w.narrow()); +} + +// An integer field of a configuration value, in [lo, hi]: a bool, a float, None or another type is +// the configuration's wrong-type error (integers.hpp); an integer outside [lo, hi] is a ValueError. +std::int64_t int_field(const py::object& obj, std::int64_t lo, std::int64_t hi, const std::string& what) { + return integer_value(obj, lo, hi, what, IntegerArgument::Configuration); +} + +// A CostStretch factor as its one exact fraction, converted in this order: a bool (Python or +// numpy.bool_) raises TypeError; a fractions.Fraction is taken as it is; a Python float or a NumPy +// floating value is Fraction(str(f)), the shortest decimal its own type prints (a NaN or an infinity +// raises ValueError); an integer (an object with __index__) is n/1; anything else raises TypeError. +// Then the reduced components: a numerator in [-2^63, 2^63), a denominator in [1, 2^63). +CostStretch cost_stretch_of(const py::object& factor) { + const auto type_error = [&] { + return py::type_error("CostStretch factor must be a Fraction, a float or an integer (got " + + std::string(py::str(py::type::of(factor).attr("__name__"))) + ")"); + }; + if (is_bool(factor)) throw type_error(); + const py::object fraction_type = py::module_::import("fractions").attr("Fraction"); + py::object fraction; + if (py::isinstance(factor, fraction_type)) { + fraction = factor; + } else if (PyFloat_Check(factor.ptr()) || py::isinstance(factor, py::module_::import("numpy").attr("floating"))) { + const double x = PyFloat_AsDouble(factor.ptr()); + if (x == -1.0 && PyErr_Occurred() != nullptr) throw py::error_already_set(); + if (!std::isfinite(x)) throw py::value_error("CostStretch factor must be finite (got " + std::string(py::str(factor)) + ")"); + fraction = fraction_type(py::str(factor)); + } else if (PyIndex_Check(factor.ptr())) { + const auto n = py::reinterpret_steal(PyNumber_Index(factor.ptr())); + if (!n) throw py::error_already_set(); + fraction = fraction_type(n); + } else { + throw type_error(); + } + const auto component = [&](const char* name, std::int64_t lo, const char* text) { + const py::object v = fraction.attr(name); + int overflow = 0; + const long long x = PyLong_AsLongLongAndOverflow(v.ptr(), &overflow); + if (x == -1 && PyErr_Occurred() != nullptr) throw py::error_already_set(); + if (overflow != 0 || x < lo) throw py::value_error(text); + return static_cast(x); + }; + const auto n = component("numerator", std::numeric_limits::min(), + "CostStretch fraction numerator must be in [-2^63, 2^63)"); + const auto d = component("denominator", 1, "CostStretch fraction denominator must be in [1, 2^63)"); + return CostStretch(n, d); +} + +} // namespace + +void register_routing(py::module_& m) { + py::class_(m, "AbsoluteCost", "Cost ceiling: an absolute, inclusive path-cost budget (cost >= 0).") + .def(py::init([](const py::object& cost) { + return AbsoluteCost {int_field(cost, std::numeric_limits::min(), std::numeric_limits::max(), + "AbsoluteCost cost")}; + }), + py::arg("cost"), "AbsoluteCost(cost): a 64-bit integer budget in cost units (checked >= 0 where it is used)") + .def_readonly("cost", &AbsoluteCost::cost, "the budget: a path qualifies when its cost is at most this") + .def("__eq__", [](const AbsoluteCost& a, const py::object& b) { return py::isinstance(b) && a == b.cast(); }) + .def("__hash__", [](const AbsoluteCost& a) { return py::hash(py::make_tuple("AbsoluteCost", a.cost)); }) + .def("__repr__", [](const AbsoluteCost& a) { return "AbsoluteCost(" + std::to_string(a.cost) + ")"; }); + + py::class_(m, "CostStretch", + "Cost ceiling: a path qualifies when cost * d <= n * base, exactly, where n/d is the factor as\n" + "one reduced fraction and base the static shortest cost under the Eligibility.") + .def(py::init([](const py::object& factor) { return cost_stretch_of(factor); }), py::arg("factor"), + "CostStretch(factor): in this order, a bool (or numpy.bool_) raises TypeError; a fractions.Fraction\n" + "is taken as it is; a Python float or any NumPy floating value is Fraction(str(f)), the shortest\n" + "decimal its own type prints (1.2, np.float64(1.2) and np.float32(1.2) are all 6/5), and a NaN or\n" + "an infinity raises ValueError; an integer, NumPy integer or any __index__ object is n/1 exactly;\n" + "anything else raises TypeError. Then a reduced numerator outside [-2^63, 2^63) or denominator\n" + "outside [1, 2^63) raises ValueError. A factor below 1 is valid here and refused where the\n" + "ceiling is used.") + .def_property_readonly( + "factor", + [](const CostStretch& a) { + return py::module_::import("fractions").attr("Fraction")(a.numerator(), a.denominator()); + }, + "the factor as a fractions.Fraction (built on each access)") + .def("__eq__", [](const CostStretch& a, const py::object& b) { return py::isinstance(b) && a == b.cast(); }) + .def("__hash__", + [](const CostStretch& a) { + return py::hash(py::module_::import("fractions").attr("Fraction")(a.numerator(), a.denominator())); + }) + .def("__repr__", [](const CostStretch& a) { + return "CostStretch(Fraction(" + std::to_string(a.numerator()) + ", " + std::to_string(a.denominator()) + "))"; + }); + + py::class_(m, "TunnelCount", + "The tunnel count of T1 (DistributedTE) and T2, per head: per_head in [1, 10000] (checked when a\n" + "policy or an evaluator uses it). up_to=True (T2 only; T1 rejects it): one common count k in\n" + "1..per_head for every head, the smallest that delivers the design.") + .def(py::init([](const py::object& count, StrictBool up_to) { + return TunnelCount {int_field(count, std::numeric_limits::min(), + std::numeric_limits::max(), "TunnelCount per_head"), + up_to}; + }), + py::arg("per_head"), py::kw_only(), py::arg("up_to") = StrictBool {false}, + "TunnelCount(per_head, *, up_to=False): a 64-bit integer per_head (a bool, a float or None raises\n" + "TypeError and an integer outside 64 bits ValueError here; [1, 10000] is checked where it is\n" + "used) and a bool") + .def_readonly("per_head", &TunnelCount::per_head, "the tunnels per head (the largest count for up_to)") + .def_readonly("up_to", &TunnelCount::up_to, "True: the smallest sufficient count up to per_head (T2 only)") + .def("__eq__", [](const TunnelCount& a, const py::object& b) { return py::isinstance(b) && a == b.cast(); }) + .def("__hash__", [](const TunnelCount& a) { return py::hash(py::make_tuple("TunnelCount", a.per_head, a.up_to)); }) + .def("__repr__", [](const TunnelCount& a) { + return "TunnelCount(" + std::to_string(a.per_head) + (a.up_to ? ", up_to=True)" : ")"); + }); + + py::class_(m, "ShortestPaths", + "Routing like IGP forwarding (OSPF, IS-IS routers) on each roster source's static shortest-path\n" + "DAG (read from the ShortestPathCache; the route choice is applied at the epoch's first positive call),\n" + "fixed for the epoch; one record per roster source. EQUAL (ECMP, the default) and WEIGHTED\n" + "(WCMP) pool the sources (source allocation EQUAL): where their routes meet, a router splits\n" + "their traffic once. OPTIMIZED is a controller on the union of those routes (source allocation\n" + "OPTIMIZED by default, or EQUAL). An edge of capacity 0 stays in the DAG: EQUAL still sends it\n" + "its share, which it cannot carry, and WEIGHTED gives it weight 0.") + .def(py::init([](RouteAllocation allocation, std::optional source_allocation, + std::optional weight_basis, const py::object& edge_weights, RouteTieBreak tie_break, + StrictBool multipath, StrictBool parallel_edges) { + ShortestPaths sp; + sp.allocation = allocation; + sp.source_allocation = source_allocation; + sp.weight_basis = weight_basis; + sp.edge_weights = edge_weights_of(edge_weights); + sp.tie_break = tie_break; + sp.multipath = multipath; + sp.parallel_edges = parallel_edges; + return sp; + }), + py::kw_only(), py::arg_v("allocation", RouteAllocation::Equal, "RouteAllocation.EQUAL"), + py::arg("source_allocation") = py::none(), py::arg("weight_basis") = py::none(), + py::arg("edge_weights") = py::none(), py::arg_v("tie_break", RouteTieBreak::FewerHops, "RouteTieBreak.FEWER_HOPS"), + py::arg("multipath") = StrictBool {true}, py::arg("parallel_edges") = StrictBool {true}, + "ShortestPaths(*, allocation=EQUAL, source_allocation=None, weight_basis=None, edge_weights=None,\n" + "tie_break=FEWER_HOPS, multipath=True, parallel_edges=True): ShortestPaths() is ECMP.\n" + "source_allocation None resolves to EQUAL for EQUAL and WEIGHTED (the only allowed value) and to\n" + "OPTIMIZED for OPTIMIZED; weight_basis (WEIGHTED only; None: CAPACITY) and edge_weights (one\n" + "integer per edge, given exactly when weight_basis=EXPLICIT; one array shared by every policy\n" + "built from this model). The combination is checked when a policy or an evaluator uses the model\n" + "(ValueError, in the order of the model matrix). Here, a value of the wrong type (a multipath or parallel_edges that\n" + "is not a bool, an enumeration of another class, an edge_weights that is not a 1-D sequence of\n" + "integers or has a bool or a float entry) raises TypeError, and an edge_weights entry beyond\n" + "int64 ValueError.") + .def_property_readonly("allocation", field_object(&ShortestPaths::allocation), "the RouteAllocation: EQUAL, WEIGHTED or OPTIMIZED") + .def_property_readonly("source_allocation", optional_field(&ShortestPaths::source_allocation), + "the SourceAllocation, or None (a policy's config: resolved to the allocation's default)") + .def_property_readonly("weight_basis", optional_field(&ShortestPaths::weight_basis), + "the WeightBasis, or None (a policy's config: CAPACITY resolved for WEIGHTED)") + .def_property_readonly( + "edge_weights", + [](const ShortestPaths& sp) -> py::object { + if (!sp.edge_weights) return py::none(); + return amounts_tuple(*sp.edge_weights); + }, + "the explicit weights (one int per edge, a tuple), or None") + .def_property_readonly("tie_break", field_object(&ShortestPaths::tie_break), "the RouteTieBreak of equal-cost choices") + .def_readonly("multipath", &ShortestPaths::multipath, + "True: every equal-cost route; False: the one canonical path per destination") + .def_readonly("parallel_edges", &ShortestPaths::parallel_edges, + "True: every eligible parallel edge; False: one per (u, v) pair by the tie rule") + .def("__repr__", [](const ShortestPaths& sp) { + return "ShortestPaths(allocation=" + std::string(allocation_repr(sp.allocation)) + ", source_allocation=" + + (sp.source_allocation ? source_allocation_repr(*sp.source_allocation) : "None") + + ", weight_basis=" + (sp.weight_basis ? weight_basis_repr(*sp.weight_basis) : "None") + + ", edge_weights=" + (sp.edge_weights ? "(...)" : "None") + + ", tie_break=" + tie_break_repr(sp.tie_break) + ", multipath=" + (sp.multipath ? "True" : "False") + + ", parallel_edges=" + (sp.parallel_edges ? "True" : "False") + ")"; + }); + + py::class_( + m, "DistributedTE", + "T1: every head sets up its own strict tunnels by CSPF, no controller (like RSVP-TE head ends).\n" + "The design volume D is split equally over the roster heads and each head's share equally over its\n" + "tunnel_count.per_head tunnels; in round order (round j, heads ascending: tunnel index j*H + i) each tunnel\n" + "keeps the allowed links whose unreserved capacity (the ledger's, minus the holds of every other\n" + "owner and of this setup's earlier tunnels) is at least max(request, min_unreserved_bandwidth) (a\n" + "request of 0 with a minimum of 0 has no filter) and takes the shortest path in the tie_break's\n" + "single-path order; it comes up holding exactly its request on every link (UP), or stays down\n" + "holding nothing: INSUFFICIENT_BANDWIDTH (no path passes the filter) or COST_CEILING_EXCEEDED (the cheapest exceeds\n" + "cost_ceiling: AbsoluteCost is inclusive; CostStretch(f) is f times the smallest static shortest cost over\n" + "all roster heads). Traffic enters equally at the heads and splits equally over each head's up\n" + "tunnels; a head with no tunnel up loses its share. Holds never police traffic.") + .def(py::init([](const TunnelCount& tunnels, const py::object& cost_ceiling, const py::object& min_unreserved, + RouteTieBreak tie_break, StrictBool parallel_edges) { + DistributedTE ca; + ca.tunnel_count = tunnels; + ca.tie_break = tie_break; + ca.parallel_edges = parallel_edges; + ca.cost_ceiling = cost_ceiling_of(cost_ceiling); + ca.min_unreserved_bandwidth = int_field(min_unreserved, std::numeric_limits::min(), + std::numeric_limits::max(), "min_unreserved_bandwidth"); + return ca; + }), + py::arg("tunnel_count"), py::kw_only(), py::arg("cost_ceiling") = py::none(), + py::arg("min_unreserved_bandwidth") = 0, + py::arg_v("tie_break", RouteTieBreak::FewerHops, "RouteTieBreak.FEWER_HOPS"), + py::arg("parallel_edges") = StrictBool {true}, + "DistributedTE(tunnel_count, *, cost_ceiling=None, min_unreserved_bandwidth=0, tie_break=FEWER_HOPS,\n" + "parallel_edges=True): the fields are checked when a policy is built with them (the count in\n" + "[1, 10000] and exact, the ceiling, min_unreserved_bandwidth in [0, 2^62) units). tie_break and\n" + "parallel_edges are the CSPF choice, scored on unreserved bandwidth. Here, a\n" + "min_unreserved_bandwidth outside 64 bits raises ValueError; one of the wrong type, a tunnel_count\n" + "that is not a TunnelCount, a ceiling of the wrong class, a parallel_edges that is not a bool and an\n" + "unknown keyword raise TypeError.") + .def_property_readonly( + "tunnel_count", [](const DistributedTE& ca) { return typed_object(ca.tunnel_count); }, + "the tunnel count per head (a TunnelCount)") + .def_property_readonly( + "cost_ceiling", + [](const DistributedTE& ca) -> py::object { + if (!ca.cost_ceiling.has_value()) return py::none(); + return std::visit([](const auto& x) { return object_of(x); }, *ca.cost_ceiling); + }, + "the inclusive route cost ceiling (AbsoluteCost or CostStretch); None: no ceiling") + .def_readonly("min_unreserved_bandwidth", &DistributedTE::min_unreserved_bandwidth, + "units in [0, 2^62): a search minimum only (each attempt keeps the links with at least\n" + "max(request, this) unreserved units), never a reservation") + .def_property_readonly("tie_break", field_object(&DistributedTE::tie_break), "the RouteTieBreak of the CSPF choice") + .def_readonly("parallel_edges", &DistributedTE::parallel_edges, + "True: every eligible parallel edge; False: one per (u, v) pair by the tie rule") + .def("__repr__", [](const DistributedTE& ca) { + std::string ceiling = "None"; + if (ca.cost_ceiling.has_value()) { + ceiling = std::visit([](const auto& x) { return std::string(py::repr(typed_object(x))); }, *ca.cost_ceiling); + } + return "DistributedTE(TunnelCount(" + std::to_string(ca.tunnel_count.per_head) + (ca.tunnel_count.up_to ? ", up_to=True)" : ")") + + ", cost_ceiling=" + ceiling + ", min_unreserved_bandwidth=" + std::to_string(ca.min_unreserved_bandwidth) + + ", tie_break=" + std::string(tie_break_repr(ca.tie_break)) + + ", parallel_edges=" + (ca.parallel_edges ? "True" : "False") + ")"; + }); + + py::class_(m, "CentralizedTE", + "Routing: an ideal central controller that sees the whole network (with `tunnel_count`: T2, below).\n" + "Every positive call re-solves the minimum-cost flow of what the policy already delivers plus this\n" + "call's request (delivered() + offer; what an earlier call could not place is not requested\n" + "again) over the eligible graph, or exactly over `support` (a PredecessorDAG of the policy's graph, trimmed to the\n" + "walks from the sources to the allowed destinations under the Eligibility; every other edge\n" + "carries nothing), on the free capacity plus its own allocation (it may move its own traffic,\n" + "never another's). It takes no route choice. Its source_allocation is required: OPTIMIZED, the\n" + "controller chooses how much enters at each source; EQUAL: every roster source sends its\n" + "round-robin share of the largest total whose shares all fit. Its program is the solve cut into\n" + "paths per source, each a tunnel weighted by its amount. A positive call on a network beyond the\n" + "flow core's int32 numbering raises ValueError (see FlowPolicy.place).\n" + "T2, CentralizedTE(source_allocation=..., tunnel_count=TunnelCount(N)) (no route choice either; with\n" + "support, every step uses only the support's edges allowed by the policy's mask): a controller (like\n" + "a PCE) lays out, for every live head (one reaching a destination over links with free capacity\n" + ">= 1; the other heads are dead and lose their share), N single-path tunnels with one common\n" + "whole-unit planned bandwidth: first as large as possible (U), then for a finite design no larger\n" + "than needed (u), then the cheapest routes, then with prefer_headroom=True the routes that leave\n" + "the most spare capacity, then one fixed unit-by-unit tie. TunnelCount(L, up_to=True): the smallest\n" + "common count k <= L whose program carries the design (else the best, then the smallest).\n" + "Traffic splits equally over the heads and over each head's tunnels; planned bandwidth is never\n" + "held.") + .def(py::init([](SourceAllocation source_allocation, const py::object& support, const py::object& tunnels, + StrictBool prefer_headroom) { + CentralizedTE gl(source_allocation); + gl.prefer_headroom = prefer_headroom; + if (!support.is_none()) { + if (!py::isinstance(support)) throw py::type_error("CentralizedTE support must be a PredecessorDAG or None"); + gl.support = support.cast>(); + } + if (!tunnels.is_none()) { + if (!py::isinstance(tunnels)) throw py::type_error("CentralizedTE tunnel_count must be a TunnelCount or None"); + gl.tunnel_count = tunnels.cast(); + } + return gl; + }), + py::kw_only(), py::arg("source_allocation"), py::arg("support") = py::none(), + py::arg("tunnel_count") = py::none(), py::arg("prefer_headroom") = StrictBool {false}, + "CentralizedTE(*, source_allocation, support=None, tunnel_count=None, prefer_headroom=False):\n" + "source_allocation is required (EQUAL or OPTIMIZED; None or a missing argument raises TypeError);\n" + "support a PredecessorDAG of the policy's graph (checked when a policy is built with it: `support\n" + "belongs to another graph`) or None for every eligible edge; tunnel_count a TunnelCount (T2;\n" + "the count in [1, 10000] is checked when a policy is built with it) or None; prefer_headroom (T2\n" + "only; True without tunnel_count raises `prefer_headroom requires tunnel_count` when a policy is\n" + "built with it): the headroom penalty as T2's objective after route cost") + .def_property_readonly("source_allocation", field_object(&CentralizedTE::source_allocation), "the SourceAllocation: EQUAL or OPTIMIZED") + .def_property_readonly( + "support", + [](const CentralizedTE& gl) { + return optional_shared(gl.support); + }, + "the supplied support (a PredecessorDAG), or None") + .def_property_readonly( + "tunnel_count", [](const CentralizedTE& gl) { return optional_of(gl.tunnel_count); }, + "T2's tunnel count per head (a TunnelCount), or None") + .def_readonly("prefer_headroom", &CentralizedTE::prefer_headroom, + "True: T2 minimizes the headroom penalty after route cost (T2 only)") + .def("__repr__", [](const CentralizedTE& gl) { + // The source allocation and every other field that is set. + std::string out; + const auto add = [&](const std::string& part) { out += (out.empty() ? "" : ", ") + part; }; + add("source_allocation=" + std::string(source_allocation_repr(gl.source_allocation))); + if (gl.support) add("support=..."); + if (gl.tunnel_count.has_value()) { + add("tunnel_count=TunnelCount(" + std::to_string(gl.tunnel_count->per_head) + (gl.tunnel_count->up_to ? ", up_to=True)" : ")")); + } + if (gl.prefer_headroom) add("prefer_headroom=True"); + return "CentralizedTE(" + out + ")"; + }); + + py::class_(m, "Pinned", + "Routing: forwarding over a given program, computing nothing (the program's endpoints must be\n" + "the policy's). The policy's Eligibility repairs failures: a tunnel touching an excluded element is\n" + "FAILED, a split route loses its excluded members, and the roster is rebuilt from the program's\n" + "basis (a head that no longer reaches a destination leaves the equal pool). black_holes: the nodes\n" + "and edges this Eligibility excludes are silent failures; the program is forwarded unchanged and\n" + "traffic reaching them is dropped there (stale forwarding; None: no black holes). One record per\n" + "program entry.") + .def(py::init([](const std::shared_ptr& program, const std::shared_ptr& black_holes) { + if (!program) throw py::type_error("Pinned program must be a ForwardingProgram"); + Pinned p; + p.program = program; + p.black_holes = black_holes; + return p; + }), + py::arg("program"), py::kw_only(), py::arg("black_holes") = nullptr, + "Pinned(program, *, black_holes=None): a ForwardingProgram and an Eligibility of the same graph (both\n" + "kept by reference; checked when a policy is built with them)") + .def_property_readonly( + "program", [](const Pinned& p) { return typed_shared(p.program); }, + "the forwarded program (shared, immutable)") + .def_property_readonly( + "black_holes", + [](const Pinned& p) { + return optional_shared(p.black_holes); + }, + "the black holes (an Eligibility), or None") + .def("__repr__", [](const Pinned& p) { + return "Pinned(tunnels=" + std::to_string(p.program->tunnels().size()) + ")"; + }); +} + +} // namespace netgraph::core::bindings diff --git a/bindings/python/search.cpp b/bindings/python/search.cpp index 82a82db..4046e50 100644 --- a/bindings/python/search.cpp +++ b/bindings/python/search.cpp @@ -15,13 +15,15 @@ #include "netgraph/core/detail/endpoints.hpp" #include "netgraph/core/detail/enum_domain.hpp" +#include "netgraph/core/detail/search_detail.hpp" #include "netgraph/core/eligibility.hpp" #include "netgraph/core/graph.hpp" #include "netgraph/core/options.hpp" -#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/route_structures.hpp" #include "netgraph/core/search.hpp" #include "netgraph/core/types.hpp" #include "integers.hpp" +#include "strict_bool.hpp" #include "publication.hpp" #include "values.hpp" #include "registration.hpp" @@ -37,18 +39,20 @@ namespace { // held by reference count. struct PySpfOptions { Direction direction; - PathSelection selection; + RouteTieBreak tie_break; + bool multipath; + bool parallel_edges; py::object targets; py::object residual; py::object min_residual; - std::shared_ptr elig; + std::shared_ptr eligibility; }; // The Python form of SpfResult: every field already a Python object (made by the call through // the checked allocations), so reading one allocates nothing. struct PySpfResult { py::object costs; // a read-only int64 array (full searches) or None - py::object dag; // PredDAG + py::object dag; // PredecessorDAG py::object target_cost; // an int, or None (no target reached, or a full search) }; @@ -59,36 +63,46 @@ void register_search(py::module_& m) { py::class_( m, "SpfOptions", - "The options of spf: direction and selection are explicit; targets (one NodeId or a sequence;\n" - "None: a full search) stops the search at the nearest targets (anycast: any nearest target will\n" - "do); residual (int64 units per EdgeId, each in [0, capacity_units]) makes the search skip edges\n" - "with fewer than min_residual residual units (an integer >= 1; without a residual it has no\n" - "effect) and supplies the priority values: it is the only capacity filter, and without it an edge\n" - "of capacity 0 is searched like any other; elig (None: everything allowed). A direction outside its\n" - "enumeration raises ValueError here; the other fields are validated by spf, in the order its\n" - "docstring gives.") - .def(py::init([](Direction direction, const PathSelection& selection, const py::object& targets, - const py::object& residual, const py::object& min_residual, - const std::shared_ptr& elig) { + "The options of spf: the direction; targets (one NodeId or a sequence; None: a full search)\n" + "stops the search at the nearest targets (anycast: any nearest target will do); tie_break\n" + "(RouteTieBreak) orders equal-cost choices; multipath (True: every equal-cost walk as a DAG,\n" + "False: the one canonical path, targets required); parallel_edges (True: every eligible parallel\n" + "edge, False: one per (u, v) pair by the tie rule); a HIGHER_* tie_break with multipath and\n" + "parallel_edges both True is rejected by spf; residual (int64 units per EdgeId, each in [0,\n" + "edge_capacity_units]) makes the search skip edges with fewer than min_residual residual units\n" + "(an integer >= 1; without a residual it has no effect) and supplies the availability: it is the\n" + "only capacity filter, and without it an edge of capacity 0 is searched like any other;\n" + "eligibility (None: everything allowed). A direction outside its enumeration raises ValueError\n" + "here, a multipath or parallel_edges that is not a bool TypeError; the other fields are validated\n" + "by spf, in the order its docstring gives.") + .def(py::init([](Direction direction, const py::object& targets, RouteTieBreak tie_break, StrictBool multipath, + StrictBool parallel_edges, const py::object& residual, const py::object& min_residual, + const std::shared_ptr& eligibility) { detail::check_member(direction, "direction"); - return PySpfOptions {direction, selection, targets, residual, min_residual, elig}; + return PySpfOptions {direction, tie_break, multipath, parallel_edges, targets, residual, min_residual, eligibility}; }), - py::arg("direction"), py::arg("selection"), py::kw_only(), py::arg("targets") = py::none(), - py::arg("residual") = py::none(), py::arg("min_residual") = 1, py::arg("elig") = nullptr) - .def_readonly("direction", &PySpfOptions::direction, "FORWARD or REVERSE") - .def_readonly("selection", &PySpfOptions::selection, "the PathSelection the search reads") + py::arg("direction"), py::kw_only(), py::arg("targets") = py::none(), + py::arg_v("tie_break", RouteTieBreak::FewerHops, "RouteTieBreak.FEWER_HOPS"), + py::arg("multipath") = StrictBool {true}, py::arg("parallel_edges") = StrictBool {true}, + py::arg("residual") = py::none(), py::arg("min_residual") = 1, py::arg("eligibility") = nullptr) + .def_property_readonly("direction", field_object(&PySpfOptions::direction), "FORWARD or REVERSE") + .def_property_readonly("tie_break", field_object(&PySpfOptions::tie_break), "the RouteTieBreak of equal-cost choices") + .def_readonly("multipath", &PySpfOptions::multipath, + "True: every equal-cost walk (a DAG); False: the canonical single path") + .def_readonly("parallel_edges", &PySpfOptions::parallel_edges, + "True: every eligible parallel edge; False: one per (u, v) pair by the tie rule") .def_readonly("targets", &PySpfOptions::targets, "the targets as given (validated by spf); None: a full search") .def_readonly("residual", &PySpfOptions::residual, "the residual units per EdgeId as given (validated by spf); None: no capacity filter;\n" "priorities read static capacity") .def_readonly("min_residual", &PySpfOptions::min_residual, "the gating threshold in units as given (validated by spf: an integer >= 1)") - .def_readonly("elig", &PySpfOptions::elig, "the static Eligibility; None: everything allowed"); + .def_property_readonly("eligibility", shared_field(&PySpfOptions::eligibility), "the static Eligibility; None: everything allowed"); py::class_(m, "SpfResult", "The result of spf: costs (full searches: a read-only int64 array, UNREACHABLE for the nodes not\n" - "reached; None with targets), dag (PredDAG of the tight edges, the edges on some shortest walk,\n" - "one per (u, v) pair with multi_edge = False, each in its own direction; with targets only the\n" + "reached; None with targets), dag (PredecessorDAG of the tight edges, the edges on some shortest walk,\n" + "one per (u, v) pair with parallel_edges = False, each in its own direction; with targets only the\n" "walks between the roots and a nearest target, for REVERSE from the target to a root; for\n" "multipath = False the canonical single path) and\n" "target_cost (with targets: the nearest targets' cost, None when no target is reached; None for a\n" @@ -99,7 +113,7 @@ void register_search(py::module_& m) { "(read-only int64[N], UNREACHABLE for nodes not reached); None with targets") .def_property_readonly( "dag", [](const PySpfResult& r) { return r.dag; }, - "the PredDAG of the result, in the edges' original orientation") + "the PredecessorDAG of the result, in the edges' original orientation") .def_property_readonly( "target_cost", [](const PySpfResult& r) { return r.target_cost ? r.target_cost : py::object(py::none()); }, "with targets: the cost of the nearest targets, None when no target is reached; None for a\n" @@ -107,7 +121,7 @@ void register_search(py::module_& m) { .def("__repr__", [](const PySpfResult& r) { std::string tc = r.target_cost && !r.target_cost.is_none() ? std::string(py::str(r.target_cost)) : "None"; return "SpfResult(costs=" + std::string(r.costs ? "array" : "None") + - ", dag_entries=" + std::to_string(r.dag.cast().via_edges().size()) + + ", dag_entries=" + std::to_string(r.dag.cast().via_edges().size()) + ", target_cost=" + tc + ")"; }); @@ -118,19 +132,22 @@ void register_search(py::module_& m) { const auto o = options_of(opts, "SpfOptions"); const auto n = graph->num_nodes(); // spf's validation order on unnarrowed values (Core repeats every check): the enumerations, - // the roots, the targets, their overlap, a single path without targets, the residual, then - // min_residual and a foreign Eligibility. + // the roots, the targets, their overlap, a single path without targets, the ineffective tie + // rule, the residual, then min_residual and a foreign Eligibility. detail::check_member(o.direction, "direction"); - detail::check_selection(o.selection); + detail::check_member(o.tie_break, "tie_break"); const auto r = node_ids(roots, n, "roots"); std::optional> t; if (!o.targets.is_none()) { t = node_ids(o.targets, n, "targets"); detail::check_disjoint(detail::node_set(r, n, "roots"), detail::node_set(*t, n, "targets"), "roots", "targets"); - } else if (o.selection.single_path()) { + } else if (!o.multipath) { throw py::value_error("multipath = false requires targets (the single path joins a root to a target)"); } + if (detail::RouteChoice {o.tie_break, o.multipath, o.parallel_edges}.tie_is_ineffective()) { + throw py::value_error("spf tie_break requires multipath=False or parallel_edges=False"); + } std::optional> res; if (!o.residual.is_none()) res = edge_units(o.residual, *graph, "residual"); const auto minr = python_int(o.min_residual, "min_residual"); @@ -139,12 +156,15 @@ void register_search(py::module_& m) { if (overflow < 0 || (overflow == 0 && mv < 1)) { throw py::value_error("min_residual must be at least 1 unit (got " + std::string(py::str(minr)) + ")"); } - SpfOptions c(o.direction, o.selection); + SpfOptions c(o.direction); + c.tie_break = o.tie_break; + c.multipath = o.multipath; + c.parallel_edges = o.parallel_edges; c.targets = std::move(t); if (res.has_value()) c.residual = std::span(*res); // Above INT64_MAX it gates every residual edge exactly as INT64_MAX does (residuals < 2^62). c.min_residual = overflow != 0 ? std::numeric_limits::max() : static_cast(mv); - c.elig = o.elig.get(); + c.eligibility = o.eligibility.get(); std::optional result; { py::gil_scoped_release release; @@ -158,25 +178,27 @@ void register_search(py::module_& m) { py::detail::array_proxy(costs.ptr())->flags &= ~py::detail::npy_api::NPY_ARRAY_WRITEABLE_; slot->costs = std::move(costs); } - slot->dag = object_from(std::move(result->dag)); + slot->dag = object_from(std::move(result->dag)); if (result->target_cost.has_value() && *result->target_cost != kUnreachable) { slot->target_cost = py::int_(*result->target_cost); } return std::move(obj); }, - py::arg("graph"), py::arg("roots"), py::arg("opts"), + py::arg("graph"), py::arg("roots"), py::arg("options"), "Shortest paths from the roots for FORWARD, or to the roots for REVERSE (one NodeId or a sequence;\n" "every root at distance 0), over the eligible edges (only those with residual >= min_residual when\n" "a residual is given; an edge of capacity 0 is searched like any other) -> SpfResult. Without\n" "targets every reachable node gets its distance: costs and the full DAG of tight edges (the edges\n" - "on some shortest walk; one per (u, v) pair with multi_edge = False). With targets the search\n" + "on some shortest walk; one per (u, v) pair with parallel_edges = False). With targets the search\n" "stops at the nearest targets' cost:\n" "target_cost and the DAG of the walks between the roots and a nearest target (for REVERSE, from\n" "the target to a root, in the edges' own direction);\n" "with multipath = False, instead the canonical single path, the walk minimising (cost, -bottleneck\n" - "under PREFER_HIGHER_PRIORITY, hops, EdgeId sequence). Validated in this order before any work\n" + "under a HIGHER_* tie_break, hops, EdgeId sequence). Validated in this order before any work\n" "(ValueError): the roots (non-empty, ids in range), the targets (the same), a node in both sets,\n" - "multipath = False without targets, the residual (length, then every entry in [0, capacity_units]),\n" + "multipath = False without targets, a HIGHER_* tie_break with multipath and parallel_edges both\n" + "True ('spf tie_break requires multipath=False or parallel_edges=False'), the residual (length,\n" + "then every entry in [0, edge_capacity_units]),\n" "min_residual >= 1, a foreign Eligibility. Excluded roots and targets are skipped; all roots\n" "excluded gives an empty result."); } diff --git a/bindings/python/shortest_path_cache.cpp b/bindings/python/shortest_path_cache.cpp new file mode 100644 index 0000000..74fd74b --- /dev/null +++ b/bindings/python/shortest_path_cache.cpp @@ -0,0 +1,60 @@ +// ShortestPathCacheStats, ShortestPathCacheMiss and ShortestPathCache: the cache of static shortest-path DAGs. +#include +#include +#include + +#include + +#include "netgraph/core/shortest_path_cache.hpp" +#include "netgraph/core/graph.hpp" +#include "registration.hpp" + +namespace py = pybind11; + +namespace netgraph::core::bindings { + +void register_shortest_path_cache(py::module_& m) { + py::class_(m, "ShortestPathCacheStats", + "ShortestPathCache statistics (atomic per field, not a consistent snapshot): hits, misses,\n" + "entries, bytes (the entries' retained payload), live_values (values alive anywhere).") + .def_readonly("hits", &ShortestPathCache::Stats::hits, "lookups answered from an entry (they persist across clear())") + .def_readonly("misses", &ShortestPathCache::Stats::misses, + "lookups without an entry: a building cache searched, a frozen one raised ShortestPathCacheMiss") + .def_readonly("entries", &ShortestPathCache::Stats::entries, "the entries held") + .def_readonly("bytes", &ShortestPathCache::Stats::bytes, "the retained payload of the entries (their DAGs' stored arrays)") + .def_readonly("live_values", &ShortestPathCache::Stats::live_values, "the cached values alive anywhere, entries included"); + + py::register_exception(m, "ShortestPathCacheMiss", PyExc_Exception); + m.attr("ShortestPathCacheMiss").attr("__doc__") = + "A lookup in a frozen ShortestPathCache whose key is absent: a dedicated exception (not a\n" + "RuntimeError or ValueError); the evaluators propagate it unchanged."; + + py::class_>( + m, "ShortestPathCache", + "A cache of static shortest-path DAGs (from costs and the Eligibility only) for one graph, keyed by\n" + "(the root set, the direction, the Eligibility uid). It stores the full DAG and applies each\n" + "caller's route choice afterwards, so the route choice is never cached. ShortestPaths policies and the\n" + "evaluators read it.\n" + "Building mode (a new cache): one writer, no concurrent readers; a miss searches and inserts;\n" + "clear() empties it (the hit and miss counters persist), and values already handed out stay valid.\n" + "Frozen mode (freeze()): read-only and shareable by every worker; a miss counts one miss and raises\n" + "ShortestPathCacheMiss; clear() raises ValueError; thaw() returns to building once the caller has joined\n" + "every reader.\n" + "When a public call fails: a building cache passed to it keeps the complete entries and statistics\n" + "of the lookups that succeeded before the failure (never a partial entry; a kept entry never\n" + "changes a result); a frozen cache's statistics stay unchanged, except one miss when the call\n" + "raised ShortestPathCacheMiss. A frozen cache counts its hits only when the call succeeds, Python result\n" + "included.") + .def(py::init([](const std::shared_ptr& graph) { + if (!graph) throw py::value_error("graph must be a Graph"); + return std::make_shared(*graph); + }), + py::arg("graph"), "An empty cache in building mode, bound to graph (by its uid).") + .def("graph_uid", &ShortestPathCache::graph_uid, "uid of the graph this cache is bound to") + .def("freeze", &ShortestPathCache::freeze, "enter frozen mode (no effect when frozen)") + .def("thaw", &ShortestPathCache::thaw, "return to building mode (no effect when building); join every reader first") + .def("clear", &ShortestPathCache::clear, "empty a building cache; ValueError when frozen") + .def("stats", &ShortestPathCache::stats, "the current ShortestPathCacheStats (each field read atomically)"); +} + +} // namespace netgraph::core::bindings diff --git a/bindings/python/strict_bool.hpp b/bindings/python/strict_bool.hpp new file mode 100644 index 0000000..152bfb0 --- /dev/null +++ b/bindings/python/strict_bool.hpp @@ -0,0 +1,50 @@ +/* + The one bool converter of every bool parameter: exactly a Python bool or a numpy.bool_, both by + type identity. pybind11's own bool caster in no-convert mode recognizes NumPy's bool by the name + of its type, so a class named "numpy.bool_" passes it; this caster compares the type object. +*/ +#pragma once + +#include +#include + +namespace netgraph::core::bindings { + +// A bool parameter's value (its signature says bool). +struct StrictBool { + bool value {false}; + constexpr operator bool() const noexcept { return value; } // NOLINT(google-explicit-constructor) +}; + +// numpy.bool_'s type object, looked up once. +inline PyObject* numpy_bool_type() { + PYBIND11_CONSTINIT static pybind11::gil_safe_call_once_and_store storage; + return storage.call_once_and_store_result([] { return pybind11::module_::import("numpy").attr("bool_"); }).get_stored().ptr(); +} + +} // namespace netgraph::core::bindings + +namespace pybind11::detail { + +template <> +struct type_caster { + PYBIND11_TYPE_CASTER(netgraph::core::bindings::StrictBool, const_name("bool")); + + bool load(handle src, bool /*convert*/) { + if (src.ptr() == Py_True || src.ptr() == Py_False) { + value.value = src.ptr() == Py_True; + return true; + } + if (reinterpret_cast(Py_TYPE(src.ptr())) != netgraph::core::bindings::numpy_bool_type()) return false; + const int truth = PyObject_IsTrue(src.ptr()); + if (truth < 0) throw error_already_set(); + value.value = truth == 1; + return true; + } + + static handle cast(netgraph::core::bindings::StrictBool b, return_value_policy /*policy*/, handle /*parent*/) { + return handle(b.value ? Py_True : Py_False).inc_ref(); + } +}; + +} // namespace pybind11::detail diff --git a/bindings/python/units.cpp b/bindings/python/units.cpp index 251de4b..a572479 100644 --- a/bindings/python/units.cpp +++ b/bindings/python/units.cpp @@ -87,7 +87,7 @@ void register_units(py::module_& m) { [](const py::object& x, double resolution) -> py::object { const int k = resolution_exponent(resolution); // the resolution before the shape // A sequence, a NumPy array of any rank included: wide_integers refuses a rank other than 1. - if (!not_a_sequence(x)) { + if (!is_invalid_sequence(x)) { const auto v = wide_integers(x, "as_float: x"); py::array_t out(static_cast(v.size())); auto o = out.mutable_unchecked<1>(); diff --git a/bindings/python/values.hpp b/bindings/python/values.hpp index 98cc89e..deabec1 100644 --- a/bindings/python/values.hpp +++ b/bindings/python/values.hpp @@ -76,6 +76,15 @@ inline py::tuple ints_tuple(std::span v) { return out; } +// A tuple of Python ints, each through a checked allocation. +inline py::tuple amounts_tuple(std::span v) { + auto out = py::reinterpret_steal(checked(PyTuple_New(static_cast(v.size()))).release()); + for (std::size_t i = 0; i < v.size(); ++i) { + PyTuple_SET_ITEM(out.ptr(), static_cast(i), checked(PyLong_FromLongLong(v[i])).release().ptr()); + } + return out; +} + inline py::array_t int64_array(const std::vector& v) { py::array_t out(static_cast(v.size())); std::copy(v.begin(), v.end(), out.mutable_data()); @@ -111,7 +120,7 @@ inline py::list pairs_list(const std::vector>& v) { return out; } -// ((id, amount), ...) as a tuple (TunnelPlan.head_design). +// ((id, amount), ...) as a tuple (TunnelPlan.design_by_head). inline py::tuple pairs_tuple(const std::vector>& v) { py::tuple out(v.size()); for (std::size_t i = 0; i < v.size(); ++i) out[i] = py::make_tuple(v[i].first, v[i].second); @@ -121,15 +130,15 @@ inline py::tuple pairs_tuple(const std::vector>& // An amount argument: an integer number of units in [0, 2^62) or +inf (float('inf')); nullopt is // +inf. Any other value (a bool, another float, a non-integer, an integer out of range) raises the // one ValueError `text`; an exception of the object's own __index__ propagates as raised. -inline std::optional units_or_inf(const py::object& volume, const char* text) { - if (py::isinstance(volume) || py::isinstance(volume, py::module_::import("numpy").attr("floating"))) { - const double x = PyFloat_AsDouble(volume.ptr()); +inline std::optional units_or_inf(const py::object& value, const char* text) { + if (py::isinstance(value) || py::isinstance(value, py::module_::import("numpy").attr("floating"))) { + const double x = PyFloat_AsDouble(value.ptr()); if (x == -1.0 && PyErr_Occurred() != nullptr) throw py::error_already_set(); if (std::isinf(x) && x > 0) return std::nullopt; throw py::value_error(text); } - if (is_bool(volume) || !PyIndex_Check(volume.ptr())) throw py::value_error(text); - const py::object idx = py::reinterpret_steal(PyNumber_Index(volume.ptr())); + if (is_bool(value) || !PyIndex_Check(value.ptr())) throw py::value_error(text); + const py::object idx = py::reinterpret_steal(PyNumber_Index(value.ptr())); if (!idx) throw py::error_already_set(); int overflow = 0; const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); @@ -155,4 +164,13 @@ Options options_of(const py::object& obj, const char* name) { return obj.cast(); } +// A cost ceiling argument (DistributedTE's and KspOptions'): None, an AbsoluteCost or a CostStretch; +// any other object raises one TypeError. +inline std::optional cost_ceiling_of(const py::object& obj) { + if (obj.is_none()) return std::nullopt; + if (py::isinstance(obj)) return CostCeiling {obj.cast()}; + if (py::isinstance(obj)) return CostCeiling {obj.cast()}; + throw py::type_error("cost_ceiling must be AbsoluteCost, CostStretch or None"); +} + } // namespace netgraph::core::bindings diff --git a/dev/cpp-tests.sh b/dev/cpp-tests.sh index a795b1d..52e7375 100644 --- a/dev/cpp-tests.sh +++ b/dev/cpp-tests.sh @@ -21,7 +21,7 @@ cd "$(dirname "${BASH_SOURCE[0]}")/.." # The C++ tests that need the private hooks and skip without them (GTEST_SKIP). Inside tests that # still run, three checks are weaker without them: the helper check_deletion -# (flow_core_deletion_tests.cpp) checks each re-solve's final result, but observes each repair step +# (min_cost_flow_deletion_tests.cpp) checks each re-solve's final result, but observes each repair step # only through the probe hook (see that file's header); PolicyFixtures.EveryFixtureReplaysIdentically # compares no trace, and PolicyFixtures.ACorruptedExpectationFails corrupts only what that replay # compares (see flow_policy_fixture_tests.cpp's header). @@ -47,7 +47,7 @@ case "$mode" in release) build_dir=build/cpp-tests; build_type=Release ;; off) build_dir=build/cpp-tests-off; build_type=Release; hooks=OFF ;; sanitize) build_dir=build/cpp-sanitize; build_type=Debug; sanitize=ON ;; - # ThreadSanitizer (data races of the worker threads and the shared DagCache); the longest + # ThreadSanitizer (data races of the worker threads and the shared ShortestPathCache); the longest # instrumented test takes about 30 s, inside the common timeout. tsan) build_dir=build/cpp-tsan; build_type=Debug; tsan=ON ;; coverage) build_dir=build/cpp-tests-cov; build_type=Debug; coverage=ON ;; diff --git a/dev/perf/README.md b/dev/perf/README.md index cd92d4f..f5ae256 100644 --- a/dev/perf/README.md +++ b/dev/perf/README.md @@ -4,7 +4,7 @@ Developer-only tool for timing two builds of NetGraph-Core against each other, a asks for every performance claim. Nothing here ships in the wheel or the sdist, and no timing runs in CI; only the tool's own tests do (below), and the repository gates (`make check-ci`, `make sanitize-test`, `make tsan-test`) stay the acceptance tests. Verify correctness first -(bit-identical results where the contract is exact, certificates for flows); time second. +(bit-identical results where the library is exact, certificates for flows); time second. **A/B/A** means: the reference build A, the candidate build B, then A again, each block in a fresh process, repeated seven times; the candidate's time is compared with the mean of the two @@ -314,25 +314,25 @@ failed. | `spf` | `spf.single.canonical16k` | 8 canonical single paths to frozen targets (`queries/canonical16k.json`) on the residual | | `construct` | `construct.random65k`, `construct.clos` | graph construction from arrays, unit conversion included | | `kernel` | `kernel.{proportional,eb,lossy}.clos`, `kernel.{proportional,eb}.grid`, `kernel.weighted.clos` | placements on fixed cost-only DAGs into one ledger | -| `capacity` | `capacity.costonly_{eb,prop}.failures` | CostOnly capacity over 32 failure states x 8 pairs | +| `capacity` | `capacity.costonly_{eb,prop}.failures` | ShortestPaths capacity over 32 failure states x 8 pairs | | `maxflow` | `maxflow.exact.{totals,detailed}` | exact maximum flow over 8 failure states x 4 pairs | -| `sensitivity` | `sens.exact`, `sens.policy_all_edges`, `sens.equal_global` | exact-model sensitivity; policy-model loss for every eligible edge; equal-origin Global, every edge solved afresh | -| `pooled` | `pooled.{ecmp,lossy}.clos` | 8 demands of 8 pooled sources on one ledger, Lossless / Lossy above capacity | -| `global` | `global.equal.random` | equal-origin Global capacity, 2 demands of 4 sources | -| `program` | `program.forward.global`, `program.replay.lossy`, `program.stale.lossy`, `program.replace.costonly` | forwarding programs: a Global program forwarded, replayed under failures (Lossy), stale under black holes, CostOnly re-prepared by replace | +| `sensitivity` | `sens.exact`, `sens.policy_all_edges`, `sens.equal_global` | exact-model sensitivity; policy-model loss for every eligible edge; equal-source-allocation Global, every edge solved afresh | +| `pooled` | `pooled.{ecmp,lossy}.clos`, `pooled.from_dag.clos`, `pooled.from_dag_build.clos` | 8 demands of 8 pooled sources on one ledger, Lossless / Lossy above capacity; the same demands by Pinned over prebuilt `from_dag` programs, and building those programs | +| `global` | `global.equal.random` | equal-source-allocation Global capacity, 2 demands of 4 sources | +| `program` | `program.forward.global`, `program.replay.lossy`, `program.stale.lossy`, `program.replace.costonly` | forwarding programs: a Global program forwarded, replayed under failures (Lossy), stale under black holes, ShortestPaths re-prepared by replace | | `t1` | `t1.setup.fabric`, `t1.forward.fabric` | T1 with 16 tunnels per head, 12 demands on one ledger: the setup with its holds; the installed programs forwarded under 32 offers | | `t2` | `t2.exact16.headroom`, `t2.exact16.cost`, `t2.upto256.headroom`, `t2.size.mesh` | T2 on the same fabric and demands: 16 tunnels per head with and without `prefer_headroom`, up to 256 with it; 16 tunnels for 10 heads on a 500-node mesh (2000 links, 5/8 to 8/8 free), sizing-dominated | | `msd` | `msd.loop` | the maximum-supported-demand bracket and bisection with a per-series DAG cache | | `ksp` | `ksp.fabric3_k8` | k = 8 shortest paths for 8 pairs | -| `cache` | `cache.cold`, `cache.warm` | DagCache series from a cleared / prepopulated cache | -| `eligibility` | `elig.build_intersect` | 64 failure states built and intersected | +| `cache` | `cache.cold`, `cache.warm` | ShortestPathCache series from a cleared / prepopulated cache | +| `eligibility` | `eligibility.build_intersect` | 64 failure states built and intersected | | `construct` | the fourteen storage construction rows (`construct.wgrid256`, `fanout_clos`, `random1m_nat`, `random1m_scat`, `wide65k`, `k65536`, `k65537`, `star1m`, `sparse1m`, `empty1m`, `random65k_bprime`, `random65k_reversed`, `star1m_smallk`, `instar1m_smallk`) | the constructor on prepared input: many short rows, the sort fallback above 65,536 distinct costs and both sides of that limit, very long rows, mostly isolated nodes, an empty graph, input already in or reversed from edge-id order | | `spf` | the six storage search rows (`spf.to.{wgrid256,random1m,wide_fallback16k,width65536,width65537}`, `spf.full.random1m`) | 8 full searches each: the bucket queue, a large scattered graph, the heap, and both sides of the bucket-width limit 65,536 | Every row's `desc` (in `aba-list`) describes its input and its work; the generators, seeds and sources are in `aba_rows.hpp`. The row names are fixed (the frozen inputs and earlier reports -name them): `proportional` and `prop` in a name mean MaxFlow placement, and `lossy` means -EqualBalanced placement with Lossy admission. +name them): `proportional` and `prop` in a name mean the OPTIMIZED route allocation, and `lossy` +means the EQUAL route allocation with LOSSY admission. **The storage rows** exercise the graph's storage and construction. Every input comes from a generator in `aba_rows.hpp` (`storage_inputs()`) with fixed seeds, one random draw per diff --git a/dev/perf/aba.py b/dev/perf/aba.py index 2f5f880..2da7d30 100644 --- a/dev/perf/aba.py +++ b/dev/perf/aba.py @@ -935,7 +935,7 @@ def groups_of(rows: dict[str, dict]) -> dict[str, list[str]]: return out -def plan_selection(rows: dict[str, dict], rows_arg: str) -> dict: +def choose_rows(rows: dict[str, dict], rows_arg: str) -> dict: """Resolve ``--rows`` against the harnesses' row list. Errors (the run is refused before any block): a text that names no glob; a glob that matches @@ -991,7 +991,7 @@ def same_rows(rows_old: dict[str, dict], rows_new: dict[str, dict]) -> None: ) -def selection_error_text(sel: dict, rows: dict[str, dict]) -> str: +def row_choice_error_text(sel: dict, rows: dict[str, dict]) -> str: listing = "\n".join( f" {group} ({len(names)}): {', '.join(names)}" for group, names in groups_of(rows).items() @@ -1245,7 +1245,7 @@ def write_report(report: dict, path: Path) -> None: def run_verdict(report: dict) -> str: """``aborted``, else the worst row verdict. A run that did not abort measured every selected - row, and a selection has at least one (``plan_selection``).""" + row, and a selection has at least one (``choose_rows``).""" if "aborted" in report: return "aborted" verdicts = [r["verdict"] for r in report["rows"] if r["status"] == "measured"] @@ -1295,10 +1295,10 @@ def start_run(args, old: Side, new: Side): env = dict(os.environ) # the harnesses run with the caller's environment, unchanged rows = list_rows(new, env) same_rows(list_rows(old, env), rows) - selection = plan_selection(rows, args.rows) - if selection["errors"]: - raise Refused(selection_error_text(selection, rows)) - names = selection["selected"] + chosen = choose_rows(rows, args.rows) + if chosen["errors"]: + raise Refused(row_choice_error_text(chosen, rows)) + names = chosen["selected"] try: pins = pinned_iterations(args.iters, names) except ValueError as exc: @@ -1319,7 +1319,7 @@ def start_run(args, old: Side, new: Side): "bootstrap_resamples": args.resamples, "bootstrap_seed": args.seed, }, - "selection": selection, + "selection": chosen, "machine": { "platform": platform.platform(), "cpu": cpu_name(), @@ -1780,7 +1780,7 @@ def iters_text(rec: dict) -> str: return f"{rec['iterations_a']} / {rec['iterations_b']}" -def selection_lines(report: dict) -> list[str]: +def row_choice_lines(report: dict) -> list[str]: """The rows each glob selected and the rows of the groups it did not.""" sel = report["selection"] status = {r["row"]: r["status"] for r in report["rows"]} @@ -1981,7 +1981,7 @@ def rows_where(test, text=lambda r: r["row"]) -> str: lines.append( f"* {r['row']}: A1 {peaks['A1']}; B {peaks['B']}; A2 {peaks['A2']}" ) - lines += ["", *plan_lines(report), "", *selection_lines(report)] + lines += ["", *plan_lines(report), "", *row_choice_lines(report)] return "\n".join(lines) + "\n" diff --git a/dev/perf/aba_api.hpp b/dev/perf/aba_api.hpp index 4a8607a..b00f641 100644 --- a/dev/perf/aba_api.hpp +++ b/dev/perf/aba_api.hpp @@ -4,29 +4,29 @@ // adapted first). // // Row mapping of the search rows: -// The selection of a search is spelled in target terms (Sel: multipath, multi_edge, -// prefer_priority as PreferHigherPriority on the Residual priority); the default Sel is -// multipath and multi_edge with the Deterministic tie-break. A supplied residual always gates its +// The route choice of a search is spelled in target terms (Sel: multipath, parallel_edges, +// higher_available_capacity as the HIGHER_AVAILABLE_CAPACITY tie_break); the default Sel is +// multipath and parallel_edges with the FEWER_HOPS tie_break. A supplied residual always gates its // edges at min_residual = 1 unit (through to_units); capacity is no condition of a search (the // row graphs have no edge below 1 unit, so this does not change their digests). // * spf (spf.full.*, except the storage row spf.full.random1m, which runs search_run below): -// spf(g, {src}, Forward, no targets), the default selection, with or without the masks (as one +// spf(g, {src}, Forward, no targets), the default route choice, with or without the masks (as one // Eligibility) and the residual. Digest: 16 sampled costs, the DAG's entry count and its first // and last via. -// * spf_dag (spf.dag.*): spf(g, {src}, Forward, targets {dst}), the default selection: the DAG of +// * spf_dag (spf.dag.*): spf(g, {src}, Forward, targets {dst}), the default route choice: the DAG of // the shortest walks that end in the target. Digest: target_cost, entries, first and last via. -// * spf_to (spf.to.random16k): spf(g, {dst}, Reverse, no targets), the default selection. +// * spf_to (spf.to.random16k): spf(g, {dst}, Reverse, no targets), the default route choice. // * targetset_* (spf.to.targetset_clos): the Clos graph and the destination set; the timed call is // a full reverse spf rooted at the destination set, targets absent. // * spf_path (spf.single.canonical16k): spf(g, {src}, Forward, targets {dst}) with the row's -// selection (multipath = false) and the residual: the canonical single path. Digest: +// route choice (multipath = false) and the residual: the canonical single path. Digest: // target_cost and the walk. -// * ksp (ksp.fabric3_k8): ksp(g, src, dst, KspOptions(k, PathSelection(Deterministic, Capacity, -// multipath, multi_edge))), no residual, no ceiling, no masks. Digest: the path count, then per +// * ksp (ksp.fabric3_k8): ksp(g, src, dst, KspOptions(k)) (FEWER_HOPS, every parallel edge), no +// residual, no ceiling, no masks. Digest: the path count, then per // path its cost, hop count and B' edge ids (the graph's edge ids, ordered by source, cost, target // and input position). -// The kernel rows place on fixed DAGs read with the public spf with targets (base_dag): MaxFlow -// as Global restricted to the DAG (Global(support = dag)), the other kernels as Pinned over a +// The kernel rows place on fixed DAGs read with the public spf with targets (base_dag): Optimized +// as CentralizedTE restricted to the DAG (CentralizedTE(support = dag)), the other kernels as Pinned over a // program of the one split route (from_routes per placement; Weighted with the capacity weights). // // The storage rows' interface (README "Rows"): construct_prepare and construct_run (the @@ -38,14 +38,14 @@ // their input position, so they are the same for any API that builds the same graph. #pragma once -#include "netgraph/core/dag_cache.hpp" +#include "netgraph/core/shortest_path_cache.hpp" #include "netgraph/core/evaluators.hpp" #include "netgraph/core/flow_ledger.hpp" #include "netgraph/core/flow_policy.hpp" #include "netgraph/core/graph.hpp" -#include "netgraph/core/program.hpp" +#include "netgraph/core/forwarding_program.hpp" #include "netgraph/core/search.hpp" -#include "netgraph/core/detail/traversal.hpp" +#include "netgraph/core/detail/search_detail.hpp" #include #include @@ -96,12 +96,12 @@ inline nc::Graph graph_of(const Arrays& a) { return nc::Graph(a.n, a.src, a.dst, units, a.cost, kResolution); } -// The graph plus the caller's inverse of input_index() (input edge index -> EdgeId), and the -// warm DagCache of the cache.warm row (one per graph, prepopulated by the untimed iteration). +// The graph plus the caller's inverse of input_positions() (input edge index -> EdgeId), and the +// warm ShortestPathCache of the cache.warm row (one per graph, prepopulated by the untimed iteration). struct Graph { std::shared_ptr g; std::vector edge_of_input; - std::shared_ptr warm_cache; + std::shared_ptr warm_cache; const nc::Graph& ref() const { return *g; } }; @@ -110,9 +110,9 @@ inline std::uint64_t construct(const Arrays& a) { auto g = graph_of(a); Digest d; d.add_i(g.num_edges()); - d.add_i(g.max_cost()); - d.add_i(g.cost_gcd()); - d.add_i(g.row_offsets()[static_cast(a.n / 2)]); + d.add_i(g.max_edge_cost()); + d.add_i(g.edge_cost_gcd()); + d.add_i(g.outgoing_offsets()[static_cast(a.n / 2)]); return d.h; } @@ -120,7 +120,7 @@ inline Graph build(const Arrays& a) { Graph out; out.g = std::make_shared(graph_of(a)); out.edge_of_input.assign(a.src.size(), -1); - auto ii = out.g->input_index(); + auto ii = out.g->input_positions(); for (std::size_t e = 0; e < ii.size(); ++e) out.edge_of_input[static_cast(ii[e])] = static_cast(e); return out; } @@ -164,16 +164,17 @@ inline std::uint64_t eligibility_build_intersect(const Graph& g, const std::vect return d.h; } -// Search selection, spelled in target terms (multipath absent: the DAG of every equal-cost walk). +// A search's route choice, spelled in target terms (multipath: the DAG of every equal-cost walk). struct Sel { - std::optional multipath {}; - bool multi_edge = true; - bool prefer_priority = false; + bool multipath = true; + bool parallel_edges = true; + bool higher_available_capacity = false; }; -inline nc::PathSelection to_sel(const Sel& s) { - return nc::PathSelection(s.prefer_priority ? nc::EdgeTieBreak::PreferHigherPriority : nc::EdgeTieBreak::Deterministic, - nc::EdgePriority::Residual, s.multipath, s.multi_edge); +inline void choose(nc::SpfOptions& o, const Sel& s) { + o.tie_break = s.higher_available_capacity ? nc::RouteTieBreak::HigherAvailableCapacity : nc::RouteTieBreak::FewerHops; + o.multipath = s.multipath; + o.parallel_edges = s.parallel_edges; } // A residual given in physical units (id order) as units. @@ -186,18 +187,19 @@ inline std::vector residual_units(const std::vector& residua inline nc::SpfResult run_spf(const Graph& g, std::span roots, nc::Direction dir, std::optional> targets, const Sel& s, const Elig* el, const std::vector* residual) { - nc::SpfOptions o(dir, to_sel(s)); + nc::SpfOptions o(dir); + choose(o, s); o.targets = std::move(targets); std::vector units; if (residual != nullptr) { units = residual_units(*residual); o.residual = std::span(units); } - o.elig = el ? el->get() : nullptr; + o.eligibility = el ? el->get() : nullptr; return nc::spf(g.ref(), roots, o); } -inline void fold_dag(Digest& d, const nc::PredDAG& dag) { +inline void fold_dag(Digest& d, const nc::PredecessorDAG& dag) { const auto via = dag.via_edges(); d.add_i(static_cast(via.size())); if (!via.empty()) { @@ -273,41 +275,50 @@ inline std::uint64_t spf_path(const Graph& g, int src, int dst, const Sel& s, co // A fixed DAG for placement kernels: the cost-only destination search (setup, not timed). struct Dag { - std::shared_ptr dag; + std::shared_ptr dag; }; inline Dag base_dag(const Graph& g, int src, int dst) { const nc::NodeId roots[1] = {src}; auto r = run_spf(g, roots, nc::Direction::Forward, std::vector {dst}, Sel {}, nullptr, nullptr); - return Dag {std::make_shared(std::move(r.dag))}; + return Dag {std::make_shared(std::move(r.dag))}; } -// The placement kernels the rows time; Lossy is EqualBalanced placement with Lossy admission. -enum class Kernel { MaxFlow, EqualBalanced, Lossy, Weighted }; +// The placement kernels the rows time; Lossy is Equal placement with Lossy admission. +enum class Kernel { Optimized, Equal, Lossy, Weighted }; struct KernelAxes { - nc::FlowPlacement placement = nc::FlowPlacement::MaxFlow; + nc::RouteAllocation allocation = nc::RouteAllocation::Optimized; nc::Admission admission = nc::Admission::Lossless; - nc::EdgePriority priority = nc::EdgePriority::Residual; }; inline KernelAxes axes(Kernel k) { KernelAxes a; switch (k) { - case Kernel::MaxFlow: break; - case Kernel::EqualBalanced: a.placement = nc::FlowPlacement::EqualBalanced; break; - case Kernel::Lossy: a.placement = nc::FlowPlacement::EqualBalanced; a.admission = nc::Admission::Lossy; break; - case Kernel::Weighted: a.placement = nc::FlowPlacement::Weighted; a.priority = nc::EdgePriority::Capacity; break; + case Kernel::Optimized: break; + case Kernel::Equal: a.allocation = nc::RouteAllocation::Equal; break; + case Kernel::Lossy: a.allocation = nc::RouteAllocation::Equal; a.admission = nc::Admission::Lossy; break; + case Kernel::Weighted: a.allocation = nc::RouteAllocation::Weighted; break; } return a; } -inline nc::FlowPolicyConfig config(nc::Routing routing, Kernel k, nc::PathSelection sel) { +// ShortestPaths `sp` with the kernel's allocation, and the kernel's admission. +inline nc::FlowPolicyConfig config(nc::ShortestPaths sp, Kernel k) { const auto a = axes(k); - return nc::FlowPolicyConfig {std::move(routing), a.placement, a.admission, sel}; + sp.allocation = a.allocation; + return nc::FlowPolicyConfig {std::move(sp), a.admission}; +} + +// CentralizedTE with its source allocation, on `support` (nullptr: every eligible edge). +inline nc::CentralizedTE centralized(nc::SourceAllocation source_allocation, + std::shared_ptr support = {}) { + nc::CentralizedTE gl(source_allocation); + gl.support = std::move(support); + return gl; } // Manual placements on fixed DAGs into one ledger: one policy per placement on that one DAG -// (MaxFlow: Global with the DAG as its support; the other kernels: Pinned over the program of the +// (Optimized: CentralizedTE with the DAG as its support; the other kernels: Pinned over the program of the // one split route), destroyed after the call (its records stay in the ledger as orphans). struct Ledger { nc::FlowLedger fg; @@ -318,110 +329,166 @@ struct Ledger { const nc::NodeId t[1] = {dst}; nc::FlowPolicyConfig cfg; cfg.admission = a.admission; - if (k == Kernel::MaxFlow) { - cfg.routing = nc::Global {dag.dag}; + if (k == Kernel::Optimized) { + cfg.routing = centralized(nc::SourceAllocation::Optimized, dag.dag); } else { nc::RouteOptions options; - options.placement = a.placement; - const nc::Route routes[1] = {nc::Route {src, dag.dag, 1}}; + options.allocation = a.allocation; + const nc::RouteDefinition routes[1] = {nc::RouteDefinition {src, dag.dag, 1}}; cfg.routing = nc::Pinned {nc::ForwardingProgram::from_routes(*fg.graph(), s, t, routes, options), nullptr}; } nc::FlowPolicy policy(fg, s, t, std::move(cfg)); const auto r = policy.place(nc::to_units(amount, kResolution)); - return nc::as_float(r.placed, kResolution); + return nc::as_float(r.call_delivered, kResolution); } }; -inline nc::PathSelection costonly_selection() { - return nc::PathSelection(nc::EdgeTieBreak::Deterministic, nc::EdgePriority::Capacity, true, true); -} - -// Scalar CostOnly policy capacity: place(+inf) of a CostOnly policy on a fresh ledger. +// Scalar ShortestPaths policy capacity: place(+inf) of a ShortestPaths policy on a fresh ledger. inline double costonly_capacity(const Graph& g, int src, int dst, Kernel k, const Elig& el) { const nc::NodeId s[1] = {src}; const nc::NodeId t[1] = {dst}; - nc::QueryOptions opts {config(nc::CostOnly {}, k, costonly_selection()), el.get(), nullptr, {}}; - return nc::as_float(nc::capacity(g.ref(), s, t, opts).placed, kResolution); + nc::EvaluationOptions opts {config(nc::ShortestPaths {}, k), el.get(), nullptr, {}}; + return nc::as_float(nc::evaluate_demand(g.ref(), s, t, opts).call_delivered, kResolution); } -inline nc::FlowPolicyConfig global_config() { return nc::FlowPolicyConfig {.routing = nc::Global {}}; } +inline nc::FlowPolicyConfig global_config() { + return nc::FlowPolicyConfig {.routing = centralized(nc::SourceAllocation::Optimized)}; +} -// Exact maximum flow: capacity() with Global (optimized origin), totals only or with -// every optional output (edge flows, residual, bottleneck, min_cut). +// Exact maximum flow: evaluate_demand() with CentralizedTE (optimized source allocation), totals only +// or with every optional output (edge flows, residual, saturated boundary edges, min_cut). inline std::uint64_t maxflow_exact(const Graph& g, int src, int dst, const Elig& el, bool detailed) { const nc::NodeId s[1] = {src}; const nc::NodeId t[1] = {dst}; nc::OutputOptions out; if (detailed) out = nc::OutputOptions {true, true, true, true}; - nc::QueryOptions opts {global_config(), el.get(), nullptr, out}; - const auto r = nc::capacity(g.ref(), s, t, opts); + nc::EvaluationOptions opts {global_config(), el.get(), nullptr, out}; + const auto r = nc::evaluate_demand(g.ref(), s, t, opts); Digest d; - d.add_d(nc::as_float(r.placed, kResolution)); + d.add_d(nc::as_float(r.call_delivered, kResolution)); d.add_i(r.min_cut ? static_cast(r.min_cut->size()) : -1); - d.add_i(r.cost_distribution ? static_cast(r.cost_distribution->size()) : -1); + d.add_i(r.marginal_cost_curve ? static_cast(r.marginal_cost_curve->size()) : -1); if (detailed) { std::int64_t residual = 0; for (auto x : *r.residual) residual += x; d.add_i(residual); - d.add_i(static_cast(r.bottleneck->size())); + d.add_i(static_cast(r.saturated_boundary_edges->size())); } return d.h; } -inline std::uint64_t fold_sensitivity(const nc::SensitivityResult& r) { +inline std::uint64_t fold_edge_failures(const nc::SensitivityResult& r) { Digest d; - d.add_d(nc::as_float(r.baseline.placed, kResolution)); + d.add_d(nc::as_float(r.baseline.call_delivered, kResolution)); for (const auto& e : r.entries) { d.add_i(e.edge); - d.add_d(nc::as_float(e.loss, kResolution)); + d.add_d(nc::as_float(e.delivery_reduction, kResolution)); } return d.h; } -// Exact-model sensitivity: Global, optimized origin (candidates: the baseline's positive-flow edges). -inline std::uint64_t sensitivity_exact(const Graph& g, int src, int dst, const Elig& el) { +// Exact-model failure study: CentralizedTE, optimized source allocation (candidates: the baseline's positive-flow edges). +inline std::uint64_t edge_failures_exact(const Graph& g, int src, int dst, const Elig& el) { const nc::NodeId s[1] = {src}; const nc::NodeId t[1] = {dst}; - nc::QueryOptions opts {global_config(), el.get(), nullptr, {}}; - return fold_sensitivity(nc::sensitivity(g.ref(), s, t, opts, 1)); + nc::EvaluationOptions opts {global_config(), el.get(), nullptr, {}}; + return fold_edge_failures(nc::evaluate_edge_failures(g.ref(), s, t, opts, 1)); } -// Policy-model sensitivity over every allowed edge: CostOnly EqualBalanced. -inline std::uint64_t sensitivity_policy_all_edges(const Graph& g, int src, int dst, const Elig& el) { +// Policy-model failure study over every allowed edge: ShortestPaths Equal. +inline std::uint64_t edge_failures_policy_all_edges(const Graph& g, int src, int dst, const Elig& el) { const nc::NodeId s[1] = {src}; const nc::NodeId t[1] = {dst}; - const auto cfg = config(nc::CostOnly {}, Kernel::EqualBalanced, costonly_selection()); - nc::QueryOptions opts {cfg, el.get(), nullptr, {}}; - return fold_sensitivity(nc::sensitivity(g.ref(), s, t, opts, 1)); + const auto cfg = config(nc::ShortestPaths {}, Kernel::Equal); + nc::EvaluationOptions opts {cfg, el.get(), nullptr, {}}; + return fold_edge_failures(nc::evaluate_edge_failures(g.ref(), s, t, opts, 1)); } -// Pooled CostOnly placement: one EqualBalanced policy (Lossless, or Lossy) per demand of several -// sources to one destination on one shared ledger, place(to_units(volume)) each. The digest folds -// every call's placed amount, its drop total and count, and every source row (source, admitted, +// Pooled ShortestPaths placement: one Equal policy (Lossless, or Lossy) per demand of several +// sources to one destination on one shared ledger, place(to_units(offer)) each. The digest folds +// every call's delivered amount, its drop total and count, and every source row (source, admitted, // delivered, source loss, dropped). inline std::uint64_t pooled_place(const Graph& g, const std::vector, int>>& demands, - double volume, bool lossy) { - const auto cfg = config(nc::CostOnly {}, lossy ? Kernel::Lossy : Kernel::EqualBalanced, costonly_selection()); + double offer, bool lossy) { + const auto cfg = config(nc::ShortestPaths {}, lossy ? Kernel::Lossy : Kernel::Equal); nc::FlowLedger fg(g.g); std::vector> policies; Digest d; - const auto units = nc::to_units(volume, kResolution); + const auto units = nc::to_units(offer, kResolution); + for (const auto& [srcs, dst] : demands) { + const std::vector sv(srcs.begin(), srcs.end()); + const nc::NodeId tv[1] = {dst}; + policies.push_back(std::make_unique(fg, sv, tv, cfg)); + const auto r = policies.back()->place(units); + d.add_i(r.call_delivered); + nc::Amount drops = 0; + for (const auto& [e, x] : r.call_edge_drops) drops += x; + d.add_i(drops); + d.add_i(static_cast(r.call_edge_drops.size())); + for (const auto& row : r.by_source) { + d.add_i(row.source); + d.add(row.admitted.lo); + d.add_i(row.delivered); + d.add(row.source_drops.lo); + d.add(row.total_edge_drops.lo); + } + } + return d.h; +} + +// Pooled programs from supplied DAGs: per demand, ForwardingProgram::from_dag of its sources over +// the reverse shortest-path DAG to its destination (trimmed to the sources' walks: their selected +// supports, the DAG ShortestPaths Equal pools). +using PooledPrograms = std::vector>; +inline PooledPrograms pooled_dag_programs(const Graph& g, const std::vector, int>>& demands) { + PooledPrograms out; for (const auto& [srcs, dst] : demands) { const std::vector sv(srcs.begin(), srcs.end()); const nc::NodeId tv[1] = {dst}; + auto dag = std::make_shared(run_spf(g, tv, nc::Direction::Reverse, std::nullopt, Sel {}, nullptr, nullptr).dag); + out.push_back(nc::ForwardingProgram::from_dag(g.ref(), sv, tv, dag)); + } + return out; +} + +// Building the pooled programs: the digest folds each program's roster size and its Lossless bound +// is not computed (building only). +inline std::uint64_t pooled_dag_build(const Graph& g, const std::vector, int>>& demands) { + Digest d; + for (const auto& p : pooled_dag_programs(g, demands)) { + d.add_i(static_cast(p->sources().size())); + d.add_i(static_cast(p->tunnels().size())); + } + return d.h; +} + +// Pinned over prebuilt pooled programs: one policy per demand on one shared ledger, +// place(to_units(offer)) each; the digest as pooled_place's. +inline std::uint64_t pooled_pinned_place(const Graph& g, const std::vector, int>>& demands, + const PooledPrograms& programs, double offer, bool lossy) { + nc::FlowLedger fg(g.g); + std::vector> policies; + Digest d; + const auto units = nc::to_units(offer, kResolution); + for (std::size_t i = 0; i < demands.size(); ++i) { + const auto& [srcs, dst] = demands[i]; + const std::vector sv(srcs.begin(), srcs.end()); + const nc::NodeId tv[1] = {dst}; + const nc::FlowPolicyConfig cfg {.routing = nc::Pinned {programs[i], nullptr}, + .admission = lossy ? nc::Admission::Lossy : nc::Admission::Lossless}; policies.push_back(std::make_unique(fg, sv, tv, cfg)); const auto r = policies.back()->place(units); - d.add_i(r.placed); + d.add_i(r.call_delivered); nc::Amount drops = 0; - for (const auto& [e, x] : r.call_drops) drops += x; + for (const auto& [e, x] : r.call_edge_drops) drops += x; d.add_i(drops); - d.add_i(static_cast(r.call_drops.size())); + d.add_i(static_cast(r.call_edge_drops.size())); for (const auto& row : r.by_source) { d.add_i(row.source); d.add(row.admitted.lo); d.add_i(row.delivered); - d.add(row.source_loss.lo); - d.add(row.dropped.lo); + d.add(row.source_drops.lo); + d.add(row.total_edge_drops.lo); } } return d.h; @@ -429,21 +496,21 @@ inline std::uint64_t pooled_place(const Graph& g, const std::vector p; std::vector srcs; nc::NodeId dst {0}; }; -inline Program global_program(const Graph& g, const std::vector& srcs, int dst, double volume) { +inline Program global_program(const Graph& g, const std::vector& srcs, int dst, double offer) { Program out; out.srcs.assign(srcs.begin(), srcs.end()); out.dst = dst; nc::FlowLedger fg(g.g); const nc::NodeId tv[1] = {dst}; - nc::FlowPolicy policy(fg, out.srcs, tv, nc::FlowPolicyConfig {.routing = nc::Global {}}); - out.p = policy.replace(nc::to_units(volume, kResolution)).program; + nc::FlowPolicy policy(fg, out.srcs, tv, global_config()); + out.p = policy.replace(nc::to_units(offer, kResolution)).program; return out; } @@ -462,17 +529,17 @@ inline std::int64_t status_code(nc::TunnelStatus s) { case nc::TunnelStatus::Up: return 0; case nc::TunnelStatus::Failed: return 1; case nc::TunnelStatus::Blackholed: return 2; - case nc::TunnelStatus::NoBandwidth: return 3; - case nc::TunnelStatus::CostCeiling: return 4; + case nc::TunnelStatus::InsufficientBandwidth: return 3; + case nc::TunnelStatus::CostCeilingExceeded: return 4; } return -1; } inline void add_rows(Digest& d, const nc::PlacementResult& r) { - d.add_i(r.placed); - d.add(r.source_loss.lo); + d.add_i(r.call_delivered); + d.add(r.source_drops.lo); nc::Amount drops = 0; - for (const auto& [e, x] : r.call_drops) drops += x; + for (const auto& [e, x] : r.call_edge_drops) drops += x; d.add_i(drops); for (const auto& t : r.by_tunnel) { d.add_i(status_code(t.status)); @@ -486,11 +553,11 @@ inline void add_rows(Digest& d, const nc::PlacementResult& r) { struct Installed { nc::FlowLedger fg; std::unique_ptr policy; - Installed(const Graph& g, const std::vector& srcs, int dst, double volume) : fg(g.g) { + Installed(const Graph& g, const std::vector& srcs, int dst, double offer) : fg(g.g) { const std::vector sv(srcs.begin(), srcs.end()); const nc::NodeId tv[1] = {dst}; - policy = std::make_unique(fg, sv, tv, nc::FlowPolicyConfig {.routing = nc::Global {}}); - (void)policy->replace(nc::to_units(volume, kResolution)); + policy = std::make_unique(fg, sv, tv, global_config()); + (void)policy->replace(nc::to_units(offer, kResolution)); } std::uint64_t forward_all(const std::vector& offers) { Digest d; @@ -518,13 +585,13 @@ inline std::uint64_t pinned_failures(const Graph& g, const Program& prog, const return d.h; } -// A CostOnly EqualBalanced demand replaced while an outside CostOnly demand changes its load: for +// A ShortestPaths Equal demand replaced while an outside ShortestPaths demand changes its load: for // each load, the outside policy replaces its offer, then the demand replace(offer) re-prepares its // program on the new released view and retires its records. One ledger for the row's iteration. inline std::uint64_t replace_under_load(const Graph& g, const std::vector& srcs, int dst, const std::vector& outside_srcs, int outside_dst, const std::vector& loads, double offer) { - const auto cfg = config(nc::CostOnly {}, Kernel::EqualBalanced, costonly_selection()); + const auto cfg = config(nc::ShortestPaths {}, Kernel::Equal); nc::FlowLedger fg(g.g); const std::vector sv(srcs.begin(), srcs.end()); const std::vector ov(outside_srcs.begin(), outside_srcs.end()); @@ -537,7 +604,7 @@ inline std::uint64_t replace_under_load(const Graph& g, const std::vector& for (double load : loads) { (void)outside.replace(nc::to_units(load, kResolution)); const auto r = demand.replace(units); - d.add_i(r.placed); + d.add_i(r.call_delivered); d.add_i(r.delivery_delta); d.add_i(r.routes_changed ? 1 : 0); d.add_i(r.weights_changed ? 1 : 0); @@ -545,19 +612,19 @@ inline std::uint64_t replace_under_load(const Graph& g, const std::vector& return d.h; } -// The equal-origin Global configuration (every roster source sends its round-robin share). +// The equal-source-allocation CentralizedTE configuration (every roster source sends its round-robin share). inline nc::FlowPolicyConfig global_equal_config() { - return nc::FlowPolicyConfig {.routing = nc::Global {}, .origin = nc::Origin::Equal}; + return nc::FlowPolicyConfig {.routing = centralized(nc::SourceAllocation::Equal)}; } -// capacity() of equal-origin Global from several sources to one destination. The digest folds the -// placed amount, the exact total cost (both halves) and every source row's admitted amount. +// evaluate_demand() of equal-source-allocation CentralizedTE from several sources to one destination. The digest folds the +// delivered amount, the exact total cost (both halves) and every source row's admitted amount. inline std::uint64_t global_equal_capacity(const Graph& g, const std::vector& srcs, int dst) { const std::vector sv(srcs.begin(), srcs.end()); const nc::NodeId tv[1] = {dst}; - const auto r = nc::capacity(g.ref(), sv, tv, nc::QueryOptions {global_equal_config(), nullptr, nullptr, {}}); + const auto r = nc::evaluate_demand(g.ref(), sv, tv, nc::EvaluationOptions {global_equal_config(), nullptr, nullptr, {}}); Digest d; - d.add_i(r.placed); + d.add_i(r.call_delivered); d.add(r.total_cost->hi); d.add(r.total_cost->lo); for (const auto& row : r.by_source) { @@ -567,21 +634,21 @@ inline std::uint64_t global_equal_capacity(const Graph& g, const std::vector& srcs, int dst) { +// evaluate_edge_failures() of equal-source-allocation CentralizedTE (every allowed edge is a candidate, each solved afresh). +inline std::uint64_t edge_failures_equal_global(const Graph& g, const std::vector& srcs, int dst) { const std::vector sv(srcs.begin(), srcs.end()); const nc::NodeId tv[1] = {dst}; - return fold_sensitivity(nc::sensitivity(g.ref(), sv, tv, nc::QueryOptions {global_equal_config()}, 1)); + return fold_edge_failures(nc::evaluate_edge_failures(g.ref(), sv, tv, nc::EvaluationOptions {global_equal_config()}, 1)); } -// T1: one CapacityAware(Tunnels(tunnels)) policy per pair on one shared ledger, Lossless, each head +// T1: one DistributedTE(TunnelCount(tunnels)) policy per pair on one shared ledger, Lossless, each head // setting up its tunnels by CSPF on the unreserved view (the earlier pairs' holds count). struct T1Fabric { nc::FlowLedger fg; std::vector> policies; T1Fabric(const Graph& g, const std::vector>& pairs, int tunnels, nc::Admission admission) : fg(g.g) { - const nc::FlowPolicyConfig cfg {.routing = nc::CapacityAware {nc::Tunnels {tunnels}}, .admission = admission}; + const nc::FlowPolicyConfig cfg {.routing = nc::DistributedTE {nc::TunnelCount {tunnels}}, .admission = admission}; for (auto [s, t] : pairs) { const nc::NodeId sv[1] = {s}; const nc::NodeId tv[1] = {t}; @@ -592,29 +659,29 @@ struct T1Fabric { // The digest of a T1 call: its delivery, its up tunnels and its holds in all. inline void add_t1(Digest& d, const nc::PlacementResult& r) { - d.add_i(r.placed); + d.add_i(r.call_delivered); std::int64_t up = 0; for (const auto& t : r.program->tunnels()) up += t.status == nc::TunnelStatus::Up ? 1 : 0; d.add_i(up); - d.add_i(r.plan->reserved_total); + d.add_i(r.plan->total_reserved_bandwidth); } -// t1.setup.fabric: every pair's replace(to_units(volume), design = the same) on a fresh ledger, in +// t1.setup.fabric: every pair's replace(to_units(offer), design = the same) on a fresh ledger, in // pair order: CSPF setup, the holds' commit and the Lossless forwarding. -inline std::uint64_t t1_setup(const Graph& g, const std::vector>& pairs, double volume, int tunnels) { +inline std::uint64_t t1_setup(const Graph& g, const std::vector>& pairs, double offer, int tunnels) { T1Fabric f(g, pairs, tunnels, nc::Admission::Lossless); Digest d; - const auto units = nc::to_units(volume, kResolution); + const auto units = nc::to_units(offer, kResolution); for (auto& p : f.policies) add_t1(d, p->replace(units, units)); return d.h; } -// The fabric of t1.forward.fabric: Lossy, every pair set up once by replace(to_units(volume), +// The fabric of t1.forward.fabric: Lossy, every pair set up once by replace(to_units(offer), // design = the same), outside the timed iterations. -inline std::shared_ptr t1_installed(const Graph& g, const std::vector>& pairs, double volume, +inline std::shared_ptr t1_installed(const Graph& g, const std::vector>& pairs, double offer, int tunnels) { auto f = std::make_shared(g, pairs, tunnels, nc::Admission::Lossy); - const auto units = nc::to_units(volume, kResolution); + const auto units = nc::to_units(offer, kResolution); for (auto& p : f->policies) (void)p->replace(units, units); return f; } @@ -630,34 +697,38 @@ inline std::uint64_t t1_forward(T1Fabric& f, const std::vector& offers) return d.h; } -// T2: a Global(tunnels=Tunnels(count, up_to), prefer_headroom=headroom) configuration, Lossless. +// T2: a CentralizedTE(source_allocation=EQUAL, tunnel_count=TunnelCount(count, up_to), +// prefer_headroom=headroom) configuration, Lossless. inline nc::FlowPolicyConfig t2_config(int count, bool up_to, bool headroom) { - return {.routing = nc::Global {.tunnels = nc::Tunnels {count, up_to}, .prefer_headroom = headroom}}; + auto t2 = centralized(nc::SourceAllocation::Equal); + t2.tunnel_count = nc::TunnelCount {count, up_to}; + t2.prefer_headroom = headroom; + return {.routing = std::move(t2)}; } // The digest of a T2 call: its delivery, the chosen count, U, u, F, the route cost and the // tunnels. inline void add_t2(Digest& d, const nc::PlacementResult& r) { - d.add_i(r.placed); - d.add_i(r.plan->count); - d.add_i(*r.plan->common_share); - d.add_i(*r.plan->planned_per_tunnel); - d.add_i(*r.plan->forwarding_bound); - d.add(r.plan->route_cost->lo); + d.add_i(r.call_delivered); + d.add_i(r.plan->tunnels_per_head); + d.add_i(*r.plan->max_bandwidth_per_tunnel); + d.add_i(*r.plan->planned_bandwidth_per_tunnel); + d.add_i(*r.plan->max_lossless_offer); + d.add(r.plan->total_tunnel_cost->lo); d.add_i(static_cast(r.program->tunnels().size())); } // t2.exact16.*, t2.upto256.headroom: one T2 policy per pair on one shared ledger, in pair order, -// each replace(to_units(volume), design = the same) on the residual the earlier pairs left: live +// each replace(to_units(offer), design = the same) on the residual the earlier pairs left: live // heads, sizing (the quota flows), s*, the canonical augmentation (with Phi under Headroom), the // cut into tunnels, the lossless bound and the forwarding. -inline std::uint64_t t2_fabric(const Graph& g, const std::vector>& pairs, double volume, int count, +inline std::uint64_t t2_fabric(const Graph& g, const std::vector>& pairs, double offer, int count, bool up_to, bool headroom) { nc::FlowLedger fg(g.g); const auto cfg = t2_config(count, up_to, headroom); std::vector> policies; Digest d; - const auto units = nc::to_units(volume, kResolution); + const auto units = nc::to_units(offer, kResolution); for (auto [s, t] : pairs) { const nc::NodeId sv[1] = {s}; const nc::NodeId tv[1] = {t}; @@ -682,41 +753,41 @@ inline std::uint64_t t2_mesh(const Graph& g, const std::vector& fr return d.h; } -// One series of CostOnly EqualBalanced placements with one DagCache per series (the support of +// One series of ShortestPaths Equal placements with one ShortestPathCache per series (the support of // each destination set under the series Eligibility; NetGraph's hop-by-hop engine). struct CostOnlySeries { const Graph& g; const Elig& el; - nc::DagCache cache; + nc::ShortestPathCache cache; CostOnlySeries(const Graph& graph, const Elig& elig) : g(graph), el(elig), cache(graph.ref()) {} - // Places every demand on a fresh ledger; returns the placed amount per demand. - std::vector place_all(const std::vector>& demands, const std::vector& volumes) { + // Places every demand on a fresh ledger; returns the delivered amount per demand. + std::vector place_all(const std::vector>& demands, const std::vector& offers) { nc::FlowLedger fg(g.g); - const auto cfg = config(nc::CostOnly {}, Kernel::EqualBalanced, costonly_selection()); - std::vector placed(demands.size()); + const auto cfg = config(nc::ShortestPaths {}, Kernel::Equal); + std::vector delivered(demands.size()); for (std::size_t i = 0; i < demands.size(); ++i) { const nc::NodeId s[1] = {demands[i].first}; const nc::NodeId t[1] = {demands[i].second}; nc::FlowPolicy policy(fg, s, t, cfg, el.get(), &cache); - placed[i] = nc::as_float(policy.place(nc::to_units(volumes[i], kResolution)).placed, kResolution); + delivered[i] = nc::as_float(policy.place(nc::to_units(offers[i], kResolution)).call_delivered, kResolution); } - return placed; + return delivered; } }; inline double grid_resolution() { return kResolution; } -// DagCache series: lookups (roots {r}, Reverse, no eligibility) for every root; cold: a fresh +// ShortestPathCache series: lookups (roots {r}, Reverse, no eligibility) for every root; cold: a fresh // cache per series (misses: one support search each); warm: the graph's cache, prepopulated by the // first (untimed) iteration (hits). inline std::uint64_t dag_cache_series(const Graph& g, const std::vector& roots, bool warm) { - std::shared_ptr cache; + std::shared_ptr cache; if (warm) { auto& w = const_cast(g).warm_cache; - if (!w) w = std::make_shared(g.ref()); + if (!w) w = std::make_shared(g.ref()); cache = w; } else { - cache = std::make_shared(g.ref()); + cache = std::make_shared(g.ref()); } Digest d; for (int r : roots) { @@ -728,9 +799,9 @@ inline std::uint64_t dag_cache_series(const Graph& g, const std::vector& ro return d.h; } -// K shortest paths: Deterministic tie-break, Capacity priority, multipath and multi_edge. +// K shortest paths: the FEWER_HOPS tie_break, every parallel edge. inline std::uint64_t ksp(const Graph& g, int src, int dst, int k) { - const nc::KspOptions opts(k, nc::PathSelection(nc::EdgeTieBreak::Deterministic, nc::EdgePriority::Capacity, true, true)); + const nc::KspOptions opts(k); const auto paths = nc::ksp(g.ref(), src, dst, opts); Digest d; d.add_i(static_cast(paths.size())); @@ -762,7 +833,7 @@ inline ConstructInput construct_prepare(const Arrays& a) { } // The sampled construction digest (API-independent, see the file comment): -// N, E, max_cost, cost_gcd; then for the 16 nodes u_k = (k * 7919) mod N: the out-degree and the +// N, E, max_edge_cost, edge_cost_gcd; then for the 16 nodes u_k = (k * 7919) mod N: the out-degree and the // in-degree; for a non-empty out-row the input positions of its first and last edge in // traversal order and the cost and physical capacity of the first; for a non-empty in-row the // input positions of its first and last slot in reverse order. @@ -771,12 +842,12 @@ inline std::uint64_t construct_sample(const nc::Graph& g) { const std::int64_t n = g.num_nodes(); d.add_i(n); d.add_i(g.num_edges()); - d.add_i(g.max_cost()); - d.add_i(g.cost_gcd()); - const auto row = g.row_offsets(); - const auto in_row = g.in_row_offsets(); - const auto in_adj = g.in_adj_edge_index(); - const auto input = g.input_index(); + d.add_i(g.max_edge_cost()); + d.add_i(g.edge_cost_gcd()); + const auto row = g.outgoing_offsets(); + const auto in_row = g.incoming_offsets(); + const auto in_adj = g.incoming_edges(); + const auto input = g.input_positions(); for (std::int64_t k = 0; k < 16 && n > 0; ++k) { const auto u = static_cast((k * 7919) % n); const std::int32_t b = row[u], e = row[u + 1], ib = in_row[u], ie = in_row[u + 1]; @@ -785,8 +856,8 @@ inline std::uint64_t construct_sample(const nc::Graph& g) { if (e > b) { d.add_i(input[static_cast(b)]); d.add_i(input[static_cast(e - 1)]); - d.add_i(g.cost()[static_cast(b)]); - d.add_d(nc::as_float(g.capacity_units()[static_cast(b)], kResolution)); + d.add_i(g.edge_costs()[static_cast(b)]); + d.add_d(nc::as_float(g.edge_capacity_units()[static_cast(b)], kResolution)); } if (ie > ib) { d.add_i(input[static_cast(in_adj[static_cast(ib)])]); @@ -821,8 +892,8 @@ inline std::uint64_t search_sample(const Graph& g, const nc::SpfResult& r) { Digest d; const auto& [distances, dag, nearest] = r; // costs, dag, target_cost const auto via = dag.via_edges(); - const auto dst = g.ref().edge_dst(); - const auto input = g.ref().input_index(); + const auto dst = g.ref().edge_destinations(); + const auto input = g.ref().input_positions(); const auto& costs = *distances; const std::int64_t n = static_cast(costs.size()); d.add_i(static_cast(via.size())); @@ -846,7 +917,7 @@ inline std::uint64_t search_sample(const Graph& g, const nc::SpfResult& r) { return d.h; } -// Timed: one full search (default selection: multipath, every parallel member) and its digest. +// Timed: one full search (default route choice: multipath, every parallel member) and its digest. inline std::uint64_t search_run(const Graph& g, int root, bool reverse) { const nc::NodeId roots[1] = {root}; return search_sample(g, run_spf(g, roots, reverse ? nc::Direction::Reverse : nc::Direction::Forward, std::nullopt, diff --git a/dev/perf/aba_rows.hpp b/dev/perf/aba_rows.hpp index f0b7474..a50a9b9 100644 --- a/dev/perf/aba_rows.hpp +++ b/dev/perf/aba_rows.hpp @@ -100,8 +100,8 @@ inline void require_frozen(const Arrays& a, std::uint64_t frozen_input, const ch // ---------------------------------------------------------------- generators (API-free) -// The harness "random" generator: ring plus random out-edges, costs 1..max_cost. -inline Arrays gen_random(int n, int degree, unsigned seed, std::int64_t max_cost = 31) { +// The harness "random" generator: ring plus random out-edges, costs 1..max_edge_cost. +inline Arrays gen_random(int n, int degree, unsigned seed, std::int64_t max_edge_cost = 31) { Arrays a; a.n = n; std::mt19937 rng(seed); @@ -112,10 +112,10 @@ inline Arrays gen_random(int n, int degree, unsigned seed, std::int64_t max_cost a.cap.push_back(1.0 + double(rng() % 100) / 7.0); }; for (int u = 0; u < n; ++u) { - add(u, (u + 1) % n, 1 + std::int64_t(rng() % std::uint64_t(max_cost))); + add(u, (u + 1) % n, 1 + std::int64_t(rng() % std::uint64_t(max_edge_cost))); for (int k = 1; k < degree; ++k) { const int v = int(rng() % unsigned(n)); // one draw per statement: the draw order is fixed - add(u, v, 1 + std::int64_t(rng() % std::uint64_t(max_cost))); + add(u, v, 1 + std::int64_t(rng() % std::uint64_t(max_edge_cost))); } } return a; @@ -295,11 +295,11 @@ inline std::uint64_t input_digest_full(const Arrays& a) { // The shape of an input, as frozen: N, E, the number K of distinct costs, the largest out- and // in-degree, the cost GCD and maximum (0 without edges), the nodes without any edge, the number -// of input positions where src decreases, and whether the input is in ascending (src, cost, dst) +// of input positions where src decreases, and whether the input is in ascending (source, cost, destination) // order (key_sorted; equal keys keep their input order, so this is the B' id order) or in // descending order (key_reversed). digest: input_digest_full. struct InputShape { - std::int64_t n = 0, e = 0, k = 0, max_out = 0, max_in = 0, gcd = 0, max_cost = 0, isolated = 0, src_descents = 0; + std::int64_t n = 0, e = 0, k = 0, max_out = 0, max_in = 0, gcd = 0, max_edge_cost = 0, isolated = 0, src_descents = 0; bool key_sorted = false, key_reversed = false; std::uint64_t digest = 0; bool operator==(const InputShape&) const = default; @@ -317,7 +317,7 @@ inline InputShape shape_of(const Arrays& a) { ++out[std::size_t(a.src[e])]; ++in[std::size_t(a.dst[e])]; s.gcd = std::gcd(s.gcd, a.cost[e]); - s.max_cost = std::max(s.max_cost, a.cost[e]); + s.max_edge_cost = std::max(s.max_edge_cost, a.cost[e]); } for (int v = 0; v < a.n; ++v) { s.max_out = std::max(s.max_out, out[std::size_t(v)]); @@ -339,7 +339,7 @@ inline InputShape shape_of(const Arrays& a) { inline std::string json_shape(const InputShape& s) { return "{\"n\":" + std::to_string(s.n) + ",\"e\":" + std::to_string(s.e) + ",\"k\":" + std::to_string(s.k) + ",\"max_out\":" + std::to_string(s.max_out) + ",\"max_in\":" + std::to_string(s.max_in) + ",\"gcd\":" + - std::to_string(s.gcd) + ",\"max_cost\":" + std::to_string(s.max_cost) + ",\"isolated\":" + + std::to_string(s.gcd) + ",\"max_cost\":" + std::to_string(s.max_edge_cost) + ",\"isolated\":" + std::to_string(s.isolated) + ",\"src_descents\":" + std::to_string(s.src_descents) + ",\"key_sorted\":" + (s.key_sorted ? "true" : "false") + ",\"key_reversed\":" + (s.key_reversed ? "true" : "false") + ",\"digest\":\"" + std::to_string(s.digest) + "\"}"; @@ -477,7 +477,7 @@ inline Arrays gen_star1m() { } // The same single long out-row with exactly 31 costs (1..31) and distinct capacities 1 + the -// input position (equal (src, cost, dst) keys are told apart by their capacity); reversed: every +// input position (equal (source, cost, destination) keys are told apart by their capacity); reversed: every // edge turned around, one long in-row of node 0. inline Arrays gen_star1m_smallk(bool reversed) { Arrays a; @@ -774,11 +774,11 @@ inline std::vector rows() { return Iter([ts] { Digest d; for (int i = 0; i < 16; ++i) d.add(abaapi::targetset_run(*ts)); return d.h; }); }}); // ---- the canonical single path - // The canonical single path (multipath = false: the complete key under PreferHigherPriority on - // the residual, one member per pair, residual gating) from 8 fixed sources to frozen targets + // The canonical single path (multipath = false: the complete key under HIGHER_AVAILABLE_CAPACITY + // on the residual, one member per pair, residual gating) from 8 fixed sources to frozen targets // (queries/canonical16k.json: the farthest node over the edges the gating keeps). r.push_back({"spf.single.canonical16k", "spf", - "canonical single path to a fixed target, PreferHigherPriority on the residual, one member, residual " + "canonical single path to a fixed target, HIGHER_AVAILABLE_CAPACITY on the residual, one member, residual " "gating, random 16k, 8 frozen pairs", []() -> Iter { auto a = gen_random(16384, 8, 5); @@ -787,8 +787,8 @@ inline std::vector rows() { auto res = std::make_shared>(abaapi::edge_values(*g, masks_residual(a).res_in)); Sel s; s.multipath = false; - s.multi_edge = false; - s.prefer_priority = true; + s.parallel_edges = false; + s.higher_available_capacity = true; std::vector> q(kCanonical16k.begin(), kCanonical16k.end()); return Iter([g, res, q, s] { Digest d; for (auto [u, v] : q) d.add(abaapi::spf_path(*g, u, v, s, res.get())); return d.h; }); }}); @@ -817,24 +817,24 @@ inline std::vector rows() { return p; }; r.push_back({"kernel.proportional.clos", "kernel", - "MaxFlow placement on fixed cost-only DAGs, Clos 64x32, 64 pairs of 50 on one ledger", - [=] { return kernel_row(gen_clos(64, 32, 13), clos_pairs(), 50.0, Kernel::MaxFlow); }}); + "Optimized placement on fixed cost-only DAGs, Clos 64x32, 64 pairs of 50 on one ledger", + [=] { return kernel_row(gen_clos(64, 32, 13), clos_pairs(), 50.0, Kernel::Optimized); }}); r.push_back({"kernel.eb.clos", "kernel", - "EqualBalanced placement on fixed cost-only DAGs, Clos 64x32, 64 pairs of 50 on one ledger", - [=] { return kernel_row(gen_clos(64, 32, 13), clos_pairs(), 50.0, Kernel::EqualBalanced); }}); + "Equal placement on fixed cost-only DAGs, Clos 64x32, 64 pairs of 50 on one ledger", + [=] { return kernel_row(gen_clos(64, 32, 13), clos_pairs(), 50.0, Kernel::Equal); }}); r.push_back({"kernel.lossy.clos", "kernel", - "EqualBalanced placement with Lossy admission on fixed cost-only DAGs, Clos 64x32, 64 pairs of 50 on one ledger", + "Equal placement with Lossy admission on fixed cost-only DAGs, Clos 64x32, 64 pairs of 50 on one ledger", [=] { return kernel_row(gen_clos(64, 32, 13), clos_pairs(), 50.0, Kernel::Lossy); }}); r.push_back({"kernel.proportional.grid", "kernel", - "MaxFlow placement on fixed cost-only DAGs, 24x24 unit grid, 32 corner pairs of 20", - [=] { return kernel_row(gen_grid(24, 14, true), grid_pairs(), 20.0, Kernel::MaxFlow); }}); + "Optimized placement on fixed cost-only DAGs, 24x24 unit grid, 32 corner pairs of 20", + [=] { return kernel_row(gen_grid(24, 14, true), grid_pairs(), 20.0, Kernel::Optimized); }}); r.push_back({"kernel.eb.grid", "kernel", - "EqualBalanced placement on fixed cost-only DAGs, 24x24 unit grid, 32 corner pairs of 20", - [=] { return kernel_row(gen_grid(24, 14, true), grid_pairs(), 20.0, Kernel::EqualBalanced); }}); + "Equal placement on fixed cost-only DAGs, 24x24 unit grid, 32 corner pairs of 20", + [=] { return kernel_row(gen_grid(24, 14, true), grid_pairs(), 20.0, Kernel::Equal); }}); r.push_back({"kernel.weighted.clos", "kernel", "Weighted placement on fixed cost-only DAGs, Clos 64x32, 64 pairs of 50 on one ledger", [=] { return kernel_row(gen_clos(64, 32, 13), clos_pairs(), 50.0, Kernel::Weighted); }}); - // ---- scalar CostOnly capacity across unique failure states and pairs + // ---- scalar ShortestPaths capacity across unique failure states and pairs auto capacity_row = [](Kernel k) { auto a = gen_clos(32, 16, 15); auto g = std::make_shared(abaapi::build(a)); @@ -849,11 +849,11 @@ inline std::vector rows() { }); }; r.push_back({"capacity.costonly_eb.failures", "capacity", - "scalar CostOnly EqualBalanced capacity, Clos 32x16, 32 unique failure states (3 links) x 8 pairs", - [=] { return capacity_row(Kernel::EqualBalanced); }}); + "scalar ShortestPaths Equal capacity, Clos 32x16, 32 unique failure states (3 links) x 8 pairs", + [=] { return capacity_row(Kernel::Equal); }}); r.push_back({"capacity.costonly_prop.failures", "capacity", - "scalar CostOnly MaxFlow capacity, Clos 32x16, 32 unique failure states (3 links) x 8 pairs", - [=] { return capacity_row(Kernel::MaxFlow); }}); + "scalar ShortestPaths Optimized capacity, Clos 32x16, 32 unique failure states (3 links) x 8 pairs", + [=] { return capacity_row(Kernel::Optimized); }}); // ---- exact max-flow, totals only versus detailed auto exact_row = [](bool detailed) { auto a = gen_random(1024, 6, 17); @@ -878,33 +878,33 @@ inline std::vector rows() { r.push_back({"maxflow.exact.detailed", "maxflow", "exact max-flow with edge flows, residuals and bottleneck edges, same inputs as totals", [=] { return exact_row(true); }}); - // ---- sensitivity + // ---- the failure study (evaluate_edge_failures) r.push_back({"sens.exact", "sensitivity", "exact-model sensitivity (candidates: the positive-flow edges), random 256 x6, 4 pairs", [] { auto g = std::make_shared(abaapi::build(gen_random(256, 6, 19))); auto el = std::make_shared(abaapi::eligibility(*g, {}, {})); std::vector> pairs = {{1, 129}, {30, 200}, {77, 5}, {250, 60}}; - return Iter([g, el, pairs] { Digest d; for (auto [s, t] : pairs) d.add(abaapi::sensitivity_exact(*g, s, t, *el)); return d.h; }); + return Iter([g, el, pairs] { Digest d; for (auto [s, t] : pairs) d.add(abaapi::edge_failures_exact(*g, s, t, *el)); return d.h; }); }}); r.push_back({"sens.policy_all_edges", "sensitivity", - "policy-model sensitivity over every eligible edge, CostOnly EB, Clos 16x8 (256 edges), 2 pairs", + "policy-model sensitivity over every eligible edge, ShortestPaths EB, Clos 16x8 (256 edges), 2 pairs", [] { auto g = std::make_shared(abaapi::build(gen_clos(16, 8, 20))); auto el = std::make_shared(abaapi::eligibility(*g, {}, {})); return Iter([g, el] { Digest d; - d.add(abaapi::sensitivity_policy_all_edges(*g, 0, 8, *el)); - d.add(abaapi::sensitivity_policy_all_edges(*g, 3, 12, *el)); + d.add(abaapi::edge_failures_policy_all_edges(*g, 0, 8, *el)); + d.add(abaapi::edge_failures_policy_all_edges(*g, 3, 12, *el)); return d.h; }); }}); - // ---- pooled sources and the equal origin (several sources of one demand) + // ---- pooled sources and the equal source allocation (several sources of one demand) // Eight demands of eight source leaves each to one destination leaf on a Clos 64x32 (unit costs, // links of 10..80): demand j has the leaves 8j..8j+7 and the leaf (8j + 36) mod 64. Every source // splits over its 32 spines and the eight sources share each spine's one link into the // destination: the pooled program, its attribution and (Lossless) its bisection. One ledger. - auto pooled_row = [](double volume, bool lossy) { + auto pooled_row = [](double offer, bool lossy) { auto g = std::make_shared(abaapi::build(gen_clos(64, 32, 22))); std::vector, int>> demands; for (int j = 0; j < 8; ++j) { @@ -912,18 +912,49 @@ inline std::vector rows() { for (int i = 0; i < 8; ++i) srcs.push_back(8 * j + i); demands.push_back({srcs, (8 * j + 36) % 64}); } - return Iter([g, demands, volume, lossy] { return abaapi::pooled_place(*g, demands, volume, lossy); }); + return Iter([g, demands, offer, lossy] { return abaapi::pooled_place(*g, demands, offer, lossy); }); }; r.push_back({"pooled.ecmp.clos", "pooled", - "pooled CostOnly EqualBalanced Lossless placement, Clos 64x32, 8 demands of 8 source leaves to one leaf, " + "pooled ShortestPaths Equal Lossless placement, Clos 64x32, 8 demands of 8 source leaves to one leaf, " "400 each on one ledger (the program, attribution and bisection over 8 x 32 + 32 links per demand)", [=] { return pooled_row(400.0, false); }}); r.push_back({"pooled.lossy.clos", "pooled", - "pooled CostOnly EqualBalanced Lossy placement, the same Clos and demands, 4,000 each (above capacity: " + "pooled ShortestPaths Equal Lossy placement, the same Clos and demands, 4,000 each (above capacity: " "drops attributed by highest averages on every shared spine link)", [=] { return pooled_row(4000.0, true); }}); + // The same demands forwarded by Pinned over from_dag programs of their reverse shortest-path DAGs + // (built once, before timing: the one pooled builder ShortestPaths Equal uses), and the building + // of those programs alone. + auto pooled_dag_row = [](double offer) { + auto g = std::make_shared(abaapi::build(gen_clos(64, 32, 22))); + std::vector, int>> demands; + for (int j = 0; j < 8; ++j) { + std::vector srcs; + for (int i = 0; i < 8; ++i) srcs.push_back(8 * j + i); + demands.push_back({srcs, (8 * j + 36) % 64}); + } + auto programs = std::make_shared(abaapi::pooled_dag_programs(*g, demands)); + return Iter([g, demands, programs, offer] { return abaapi::pooled_pinned_place(*g, demands, *programs, offer, false); }); + }; + r.push_back({"pooled.from_dag.clos", "pooled", + "Pinned over from_dag programs (built before timing) of the same Clos 64x32 demands, Equal Lossless, " + "400 each on one ledger: the forwarding and bisection of pooled.ecmp.clos without the route search", + [=] { return pooled_dag_row(400.0); }}); + r.push_back({"pooled.from_dag_build.clos", "pooled", + "building the from_dag programs of the same 8 demands from their reverse shortest-path DAGs (the " + "search, trimming and the pooled plan; reported, no budget)", + [] { + auto g = std::make_shared(abaapi::build(gen_clos(64, 32, 22))); + std::vector, int>> demands; + for (int j = 0; j < 8; ++j) { + std::vector srcs; + for (int i = 0; i < 8; ++i) srcs.push_back(8 * j + i); + demands.push_back({srcs, (8 * j + 36) % 64}); + } + return Iter([g, demands] { return abaapi::pooled_dag_build(*g, demands); }); + }}); r.push_back({"global.equal.random", "global", - "capacity() of Global with the equal origin, random 1024 x6, 2 demands of 4 sources (the bisection's " + "evaluate_demand() of CentralizedTE with the equal source allocation, random 1024 x6, 2 demands of 4 sources (the bisection's " "probe solves and the final solve)", [] { auto g = std::make_shared(abaapi::build(gen_random(1024, 6, 23))); @@ -936,23 +967,23 @@ inline std::vector rows() { }); }}); r.push_back({"sens.equal_global", "sensitivity", - "sensitivity() of Global with the equal origin (every edge a candidate, each solved afresh with its " + "evaluate_edge_failures() of CentralizedTE with the equal source allocation (every edge a candidate, each solved afresh with its " "bisection), random 64 x4 (256 edges), 3 sources to one destination", [] { auto g = std::make_shared(abaapi::build(gen_random(64, 4, 24))); const std::vector srcs = {1, 17, 33}; - return Iter([g, srcs] { return abaapi::sensitivity_equal_global(*g, srcs, 50); }); + return Iter([g, srcs] { return abaapi::edge_failures_equal_global(*g, srcs, 50); }); }}); // ---- forwarding programs: no older Core has them; they guard later changes. // One demand of eight source leaves to one leaf on a Clos 32x16 (links of 10..80): its optimized - // Global program (paths with solved amounts, captured source weights), solved for 2,000. + // CentralizedTE program (paths with solved amounts, captured source weights), solved for 2,000. auto program_demand = [] { std::vector srcs; for (int i = 0; i < 8; ++i) srcs.push_back(i); return srcs; }; r.push_back({"program.forward.global", "program", - "forward() of an installed optimized Global program, Clos 32x16, 8 sources to one leaf, 32 offers " + "forward() of an installed optimized CentralizedTE program, Clos 32x16, 8 sources to one leaf, 32 offers " "of 100..3,200 (the injection by captured weights and the per-tunnel split, no solve)", [=] { auto g = std::make_shared(abaapi::build(gen_clos(32, 16, 25))); @@ -969,7 +1000,7 @@ inline std::vector rows() { return Iter([g, prog, states, stale] { return abaapi::pinned_failures(*g, *prog, *states, 2400.0, stale); }); }; r.push_back({"program.replay.lossy", "program", - "Pinned Lossy replace() of that Global program under 32 failure states (3 links) as the mask, each on a " + "Pinned Lossy replace() of that CentralizedTE program under 32 failure states (3 links) as the mask, each on a " "fresh ledger: failed tunnels, the heads' shares over the survivors, the loss rule", [=] { return failure_row(false); }}); r.push_back({"program.stale.lossy", "program", @@ -977,7 +1008,7 @@ inline std::vector rows() { "dropped at the failures)", [=] { return failure_row(true); }}); r.push_back({"program.replace.costonly", "program", - "CostOnly EqualBalanced replace() of 8 source leaves to one leaf, Clos 32x16, under 16 changing loads of " + "ShortestPaths Equal replace() of 8 source leaves to one leaf, Clos 32x16, under 16 changing loads of " "an outside demand (re-preparation on the released view, the retiring commit)", [=] { auto g = std::make_shared(abaapi::build(gen_clos(32, 16, 25))); @@ -994,7 +1025,7 @@ inline std::vector rows() { return pairs; }; r.push_back({"t1.setup.fabric", "t1", - "T1 CapacityAware(Tunnels(16)) replace(120, design 120) per demand, fabric 4 pods, 12 demands on one " + "T1 DistributedTE(TunnelCount(16)) replace(120, design 120) per demand, fabric 4 pods, 12 demands on one " "ledger: CSPF setup on the unreserved view, the holds' commit, Lossless forwarding", [=] { auto f = gen_fabric3(4, 8, 4, 8, 21); @@ -1023,18 +1054,18 @@ inline std::vector rows() { }); }; r.push_back({"t2.exact16.headroom", "t2", - "T2 Global(tunnels=Tunnels(16), prefer_headroom=True), replace(120, design 120) per demand, fabric 4 pods, 12 demands " + "T2 CentralizedTE(tunnel_count=TunnelCount(16), prefer_headroom=True), replace(120, design 120) per demand, fabric 4 pods, 12 demands " "on one ledger: sizing, the canonical augmentation with Phi, the lossless bound, Lossless forwarding", [=] { return t2_row(16, false, true); }}); r.push_back({"t2.exact16.cost", "t2", "the same without prefer_headroom: sizing and the canonical augmentation without Phi", [=] { return t2_row(16, false, false); }}); r.push_back({"t2.upto256.headroom", "t2", - "T2 Global(tunnels=Tunnels(256, up_to=True), prefer_headroom=True), the same demands: count selection over 1..256 with " + "T2 CentralizedTE(tunnel_count=TunnelCount(256, up_to=True), prefer_headroom=True), the same demands: count selection over 1..256 with " "the proved bounds, then the chosen count's layout", [=] { return t2_row(256, true, true); }}); r.push_back({"t2.size.mesh", "t2", - "T2 Tunnels(16) without prefer_headroom, replace(+inf) of 10 heads on a 500-node mesh (2000 links, 5/8 to 8/8 free): " + "T2 TunnelCount(16) without prefer_headroom, replace(+inf) of 10 heads on a 500-node mesh (2000 links, 5/8 to 8/8 free): " "sizing-dominated", [] { auto m = gen_t2_mesh(500, 10, 1744); @@ -1043,7 +1074,7 @@ inline std::vector rows() { }}); // ---- MSD loop r.push_back({"msd.loop", "msd", - "MSD bracket and bisection over CostOnly EB placement with a per-series DAG cache, Clos 32x16, 64 demands", + "MSD bracket and bisection over ShortestPaths EB placement with a per-series DAG cache, Clos 32x16, 64 demands", [] { auto g = std::make_shared(abaapi::build(gen_clos(32, 16, 22))); auto el = std::make_shared(abaapi::eligibility(*g, {}, {})); @@ -1061,8 +1092,8 @@ inline std::vector rows() { ++probes; std::vector v(base.size()); for (std::size_t i = 0; i < v.size(); ++i) v[i] = base[i] * alpha; - auto placed = series.place_all(dem, v); - for (std::size_t i = 0; i < v.size(); ++i) if (v[i] - placed[i] > abaapi::grid_resolution()) return false; + auto delivered = series.place_all(dem, v); + for (std::size_t i = 0; i < v.size(); ++i) if (v[i] - delivered[i] > abaapi::grid_resolution()) return false; return true; }; // NetGraph MaximumSupportedDemand: start 1, growth 2, resolution 0.01. @@ -1094,9 +1125,9 @@ inline std::vector rows() { abaapi::dag_cache_series(*g, {}, warm); // setup: creates the warm row's cache return Iter([g, roots, warm] { return abaapi::dag_cache_series(*g, roots, warm); }); }; - r.push_back({"cache.cold", "cache", "DagCache series from a cleared cache: 64 roots, Clos 64x32", + r.push_back({"cache.cold", "cache", "ShortestPathCache series from a cleared cache: 64 roots, Clos 64x32", [=] { return cache_row(false); }}); - r.push_back({"cache.warm", "cache", "DagCache series on a prepopulated cache: 64 roots, Clos 64x32", + r.push_back({"cache.warm", "cache", "ShortestPathCache series on a prepopulated cache: 64 roots, Clos 64x32", [=] { return cache_row(true); }}); r.push_back({"elig.build_intersect", "eligibility", "Eligibility build for 64 failure states and intersect with a common state, Clos 64x32", diff --git a/dev/perf/test_tool.py b/dev/perf/test_tool.py index cb55d03..04b4fa8 100644 --- a/dev/perf/test_tool.py +++ b/dev/perf/test_tool.py @@ -388,7 +388,7 @@ def test_calibrated_count_overflow(self): class RowResolution(unittest.TestCase): def plan(self, rows: str) -> dict: - return aba.plan_selection(ROWS, rows) + return aba.choose_rows(ROWS, rows) def test_row_name_group_and_all(self): self.assertEqual(self.plan("a.one")["selected"], ["a.one"]) @@ -408,7 +408,7 @@ def test_glob_matching_nothing_is_an_error(self): self.assertEqual( sel["errors"], ["--rows glob 'placement.*' matches no row or group"] ) - text = aba.selection_error_text(sel, ROWS) + text = aba.row_choice_error_text(sel, ROWS) self.assertIn("a (2): a.one, a.two", text) self.assertIn("b (1): b.one", text) self.assertEqual(self.plan(" , ")["errors"], ["--rows ' , ' names no glob"]) @@ -3121,7 +3121,7 @@ def test_list(self): self.assertEqual(proc.returncode, 0, proc.stderr) rows = aba.row_list(proc.stdout.encode(), "aba-list") real = {k: v for k, v in rows.items() if not k.startswith("test.")} - self.assertEqual(len(real), 63) + self.assertEqual(len(real), 65) sums = sha256sums(HERE / "queries") lists = {} for name in sums: @@ -3155,7 +3155,7 @@ def test_blocks(self): real = [row for row in listed if not row.startswith("test.")] with concurrent.futures.ThreadPoolExecutor(os.cpu_count() or 1) as pool: procs = list(pool.map(lambda row: self.harness("aba-run", row, "1"), real)) - self.assertEqual(len(procs), 63) + self.assertEqual(len(procs), 65) for row, proc in zip(real, procs, strict=True): self.assertEqual(proc.returncode, 0, (row, proc.stderr)) self.assertEqual( diff --git a/dev/run-checks.sh b/dev/run-checks.sh index 33fc1b6..7e958ab 100755 --- a/dev/run-checks.sh +++ b/dev/run-checks.sh @@ -33,8 +33,8 @@ export CMAKE_BUILD_PARALLEL_LEVEL=$JOBS # tests/reference/policy/ (the parametrizations of test_fixture) skips as well. EXPECTED_OFF_SKIPS=" tests/py/test_apportionment.py::test_apportionment_entries -tests/py/test_dag_cache.py::test_frozen_statistics_survive_python_allocation_failures -tests/py/test_dag_cache.py::test_the_frozen_sweep_rejects_a_wrong_call +tests/py/test_shortest_path_cache.py::test_frozen_statistics_survive_python_allocation_failures +tests/py/test_shortest_path_cache.py::test_the_frozen_sweep_rejects_a_wrong_call tests/py/test_flow_ledger.py::test_a_flow_id_read_passes_an_allocation_failure_through tests/py/test_flow_policy.py::test_evaluator_results_survive_python_allocation_failures tests/py/test_flow_policy.py::test_owner_hook_is_the_owner_of_the_records @@ -49,19 +49,21 @@ tests/py/test_flow_policy_fixtures.py::test_a_corrupted_expectation_fails[trace] tests/py/test_flow_policy_fixtures.py::test_an_expected_value_of_another_type_fails[bool as integer] tests/py/test_flow_policy_fixtures.py::test_an_expected_value_of_another_type_fails[integer as float] tests/py/test_flow_policy_fixtures.py::test_every_other_replay_clause_reports_its_operation +tests/py/test_getter_allocation.py::test_every_read_survives_python_allocation_failures tests/py/test_ksp.py::test_python_result_lists_are_all_or_nothing tests/py/test_native_allocation.py::test_allocation_hooks_preserve_exception_identity tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[Eligibility.intersect] tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[FlowLedger.reset] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[FlowRecord.bundle] +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[FlowRecord.route] tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[PlacementResult.program] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[batch_capacity.global] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[batch_capacity.global_equal] +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[evaluate_pairs.global] +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[evaluate_pairs.global_equal] tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[capacity.frozen_cache] tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[capacity.global] tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[capacity.pinned_lossy] tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[evaluate.global] tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[forward.costonly_pooled_lossy_black_holes] +tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[from_dag] tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[from_routes] tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[ksp] tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[place.costonly] @@ -86,32 +88,38 @@ tests/py/test_programs.py::test_operations_are_all_or_nothing[global evaluate] tests/py/test_programs.py::test_operations_are_all_or_nothing[pinned replace] tests/py/test_search.py::test_python_result_construction_is_all_or_nothing tests/py/test_search.py::test_the_python_allocation_sweep_rejects_a_wrong_call -tests/py/test_tunnels_t1.py::test_t1_getters_survive_python_allocation_failures[ca.tunnels] -tests/py/test_tunnels_t1.py::test_t1_getters_survive_python_allocation_failures[fg.record(fid)] -tests/py/test_tunnels_t1.py::test_t1_getters_survive_python_allocation_failures[fg.records()] -tests/py/test_tunnels_t1.py::test_t1_getters_survive_python_allocation_failures[fg.reserved()] -tests/py/test_tunnels_t1.py::test_t1_getters_survive_python_allocation_failures[fg.unreserved()] -tests/py/test_tunnels_t1.py::test_t1_getters_survive_python_allocation_failures[p.record(fid)] -tests/py/test_tunnels_t1.py::test_t1_getters_survive_python_allocation_failures[p.records()] -tests/py/test_tunnels_t1.py::test_t1_getters_survive_python_allocation_failures[r.plan.head_design] -tests/py/test_tunnels_t1.py::test_t1_getters_survive_python_allocation_failures[r.plan] -tests/py/test_tunnels_t1.py::test_t1_getters_survive_python_allocation_failures[r.program.tunnels] -tests/py/test_tunnels_t1.py::test_t1_getters_survive_python_allocation_failures[repr(abs3)] -tests/py/test_tunnels_t1.py::test_t1_getters_survive_python_allocation_failures[repr(st2)] -tests/py/test_tunnels_t1.py::test_t1_getters_survive_python_allocation_failures[t0.status] -tests/py/test_tunnels_t1.py::test_t1_results_survive_python_allocation_failures[evaluate] -tests/py/test_tunnels_t1.py::test_t1_results_survive_python_allocation_failures[forward] -tests/py/test_tunnels_t1.py::test_t1_results_survive_python_allocation_failures[replace] -tests/py/test_tunnels_t2.py::test_t2_getters_survive_python_allocation_failures[gl.tunnels] -tests/py/test_tunnels_t2.py::test_t2_getters_survive_python_allocation_failures[r.plan.fluid_share] -tests/py/test_tunnels_t2.py::test_t2_getters_survive_python_allocation_failures[r.plan.headroom_penalty] -tests/py/test_tunnels_t2.py::test_t2_getters_survive_python_allocation_failures[r.plan.live_heads] -tests/py/test_tunnels_t2.py::test_t2_getters_survive_python_allocation_failures[r.plan.route_cost] -tests/py/test_tunnels_t2.py::test_t2_getters_survive_python_allocation_failures[r.plan] -tests/py/test_tunnels_t2.py::test_t2_getters_survive_python_allocation_failures[r.program.tunnels] -tests/py/test_tunnels_t2.py::test_t2_results_survive_python_allocation_failures[evaluate] -tests/py/test_tunnels_t2.py::test_t2_results_survive_python_allocation_failures[forward] -tests/py/test_tunnels_t2.py::test_t2_results_survive_python_allocation_failures[replace] +tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[ca.tunnel_count] +tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[fg.record(fid)] +tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[fg.records()] +tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[fg.reserved()] +tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[fg.unreserved()] +tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[p.record(fid)] +tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[p.records()] +tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[r.plan.design_by_head] +tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[r.plan] +tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[r.program.tunnels] +tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[repr(abs3)] +tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[repr(st2)] +tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[st2.cost_ceiling.factor] +tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[st2.cost_ceiling] +tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[cfg.routing] +tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[repr(r)] +tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[repr(sp)] +tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[t0.status] +tests/py/test_distributed_te.py::test_t1_results_survive_python_allocation_failures[evaluate] +tests/py/test_distributed_te.py::test_t1_results_survive_python_allocation_failures[forward] +tests/py/test_distributed_te.py::test_t1_results_survive_python_allocation_failures[replace] +tests/py/test_centralized_te_tunnels.py::test_t2_getters_survive_python_allocation_failures[gl.tunnel_count] +tests/py/test_centralized_te_tunnels.py::test_t2_getters_survive_python_allocation_failures[repr(r)] +tests/py/test_centralized_te_tunnels.py::test_t2_getters_survive_python_allocation_failures[r.plan.max_fractional_bandwidth_per_tunnel] +tests/py/test_centralized_te_tunnels.py::test_t2_getters_survive_python_allocation_failures[r.plan.headroom_penalty] +tests/py/test_centralized_te_tunnels.py::test_t2_getters_survive_python_allocation_failures[r.plan.heads_with_capacity] +tests/py/test_centralized_te_tunnels.py::test_t2_getters_survive_python_allocation_failures[r.plan.total_tunnel_cost] +tests/py/test_centralized_te_tunnels.py::test_t2_getters_survive_python_allocation_failures[r.plan] +tests/py/test_centralized_te_tunnels.py::test_t2_getters_survive_python_allocation_failures[r.program.tunnels] +tests/py/test_centralized_te_tunnels.py::test_t2_results_survive_python_allocation_failures[evaluate] +tests/py/test_centralized_te_tunnels.py::test_t2_results_survive_python_allocation_failures[forward] +tests/py/test_centralized_te_tunnels.py::test_t2_results_survive_python_allocation_failures[replace] " EXPECTED_OFF_SKIPPED_PREFIX='tests/py/test_flow_policy_fixtures.py::test_fixture[' diff --git a/dev/stubs/check_clients.py b/dev/stubs/check_clients.py index 8c91657..8e5aac2 100644 --- a/dev/stubs/check_clients.py +++ b/dev/stubs/check_clients.py @@ -40,11 +40,11 @@ # line containing the text, marked): a marked line deleted with its mark is caught. REQUIRED = [ "ng.Eligibility()", - "ng.PredDAG()", + "ng.PredecessorDAG()", "ng.FlowRecord()", "ng.PlacementResult()", "ng.SourceFlow()", - "ng.DagCacheStats()", + "ng.ShortestPathCacheStats()", "ng.SensitivityEntry()", "ng.SensitivityResult()", "ng.SpfResult()", @@ -52,18 +52,23 @@ "ng.Tunnel()", "ng.TunnelFlow()", "ng.Pinned([dag])", - "npt.NDArray[np.float64] = g.capacity_units()", - "text: str = g.capacity_units().item(0)", + "npt.NDArray[np.float64] = g.edge_capacity_units()", + "text: str = g.edge_capacity_units().item(0)", 'ng.Graph("wrong"', "ng.Graph(2, [0], [1], [1.5]", - "ng.FlowLedger(g, residual=np.zeros(1, dtype=np.float64))", - "ng.spf(g, 0, ng.KspOptions(1, sel))", - "ng.capacity(g, 0, 1, cfg)", - "ng.CapacityAware(guard, max_path_cost=guard)", + "ng.FlowLedger(g, service_baseline=np.zeros(1, dtype=np.float64))", + "ng.spf(g, 0, ng.KspOptions(1))", + "ng.SpfOptions(ng.Direction.FORWARD, multipath=None)", + 'ng.CostStretch("1.2")', + "ng.evaluate_demand(g, 0, 1, cfg)", + 'ng.EvaluationOptions(cfg, offer="4")', + "ng.DistributedTE(guard, cost_ceiling=guard)", 'ng.to_units("1.5", 1.0)', - "ng.FlowPolicyConfig(ng.Global())", + "ng.FlowPolicyConfig(ng.CentralizedTE(source_allocation=opt))", + "ng.CentralizedTE()", + "ng.FlowPolicyConfig(routing=sp, placement=None)", "ng.Path(g, np.zeros((1, 1), dtype=np.float64))", - "ng.batch_capacity(g, float_pairs,", + "ng.evaluate_pairs(g, float_pairs,", "cost: int = result.target_cost", "first = result.costs[0]", "total = flows.sum()", diff --git a/dev/stubs/overrides.pyi b/dev/stubs/overrides.pyi index 5df30d6..91c15d6 100644 --- a/dev/stubs/overrides.pyi +++ b/dev/stubs/overrides.pyi @@ -48,32 +48,32 @@ class Eligibility: class Graph: # reason: num_nodes is an integer, the four edge arrays are integers (exact values checked by the binding) - # generated: def __init__(self, num_nodes: typing.Any, src: typing.Any, dst: typing.Any, capacity_units: typing.Any, cost: typing.Any, resolution: typing.SupportsFloat | typing.SupportsIndex) -> None: + # generated: def __init__(self, num_nodes: typing.Any, edge_sources: typing.Any, edge_destinations: typing.Any, edge_capacity_units: typing.Any, edge_costs: typing.Any, resolution: typing.SupportsFloat | typing.SupportsIndex) -> None: def __init__( self, num_nodes: typing.SupportsIndex, - src: collections.abc.Sequence[typing.SupportsIndex] + edge_sources: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer], - dst: collections.abc.Sequence[typing.SupportsIndex] + edge_destinations: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer], - capacity_units: collections.abc.Sequence[typing.SupportsIndex] + edge_capacity_units: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer], - cost: collections.abc.Sequence[typing.SupportsIndex] + edge_costs: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer], resolution: typing.SupportsFloat | typing.SupportsIndex, ) -> None: ... # reason: a read-only int64 view - # generated: def capacity_units(self) -> numpy.ndarray: - def capacity_units(self) -> numpy.typing.NDArray[numpy.int64]: ... + # generated: def edge_capacity_units(self) -> numpy.ndarray: + def edge_capacity_units(self) -> numpy.typing.NDArray[numpy.int64]: ... # reason: a read-only int64 view - # generated: def cost(self) -> numpy.ndarray: - def cost(self) -> numpy.typing.NDArray[numpy.int64]: ... + # generated: def edge_costs(self) -> numpy.ndarray: + def edge_costs(self) -> numpy.typing.NDArray[numpy.int64]: ... # reason: a read-only int32 view - # generated: def edge_dst(self) -> numpy.ndarray: - def edge_dst(self) -> numpy.typing.NDArray[numpy.int32]: ... + # generated: def edge_destinations(self) -> numpy.ndarray: + def edge_destinations(self) -> numpy.typing.NDArray[numpy.int32]: ... # reason: a read-only int32 view - # generated: def edge_src(self) -> numpy.ndarray: - def edge_src(self) -> numpy.typing.NDArray[numpy.int32]: ... + # generated: def edge_sources(self) -> numpy.ndarray: + def edge_sources(self) -> numpy.typing.NDArray[numpy.int32]: ... # reason: the excluded node ids and EdgeIds are integers # generated: def eligibility(self, excluded_nodes: typing.Any = (), excluded_edges: typing.Any = ()) -> Eligibility: def eligibility( @@ -84,34 +84,34 @@ class Graph: | numpy.typing.NDArray[numpy.integer] = (), ) -> Eligibility: ... # reason: a read-only int32 view - # generated: def in_adj_edge_index(self) -> numpy.ndarray: - def in_adj_edge_index(self) -> numpy.typing.NDArray[numpy.int32]: ... + # generated: def incoming_edges(self) -> numpy.ndarray: + def incoming_edges(self) -> numpy.typing.NDArray[numpy.int32]: ... # reason: a read-only int32 view - # generated: def in_row_offsets(self) -> numpy.ndarray: - def in_row_offsets(self) -> numpy.typing.NDArray[numpy.int32]: ... + # generated: def incoming_offsets(self) -> numpy.ndarray: + def incoming_offsets(self) -> numpy.typing.NDArray[numpy.int32]: ... # reason: a read-only int32 view - # generated: def input_index(self) -> numpy.ndarray: - def input_index(self) -> numpy.typing.NDArray[numpy.int32]: ... + # generated: def input_positions(self) -> numpy.ndarray: + def input_positions(self) -> numpy.typing.NDArray[numpy.int32]: ... # reason: a read-only int32 view - # generated: def row_offsets(self) -> numpy.ndarray: - def row_offsets(self) -> numpy.typing.NDArray[numpy.int32]: ... + # generated: def outgoing_offsets(self) -> numpy.ndarray: + def outgoing_offsets(self) -> numpy.typing.NDArray[numpy.int32]: ... -class PredDAG: - # reason: no constructor: built by PredDAG.from_csr, Path.to_dag and the searches +class PredecessorDAG: + # reason: no constructor: built by PredecessorDAG.from_csr, Path.to_dag and the searches # generated: (none) def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... # reason: offsets, parents and via are integers - # generated: def from_csr(graph: Graph, offsets: typing.Any, parents: typing.Any, via: typing.Any) -> PredDAG: + # generated: def from_csr(graph: Graph, parent_offsets: typing.Any, parents: typing.Any, via_edges: typing.Any) -> PredecessorDAG: @staticmethod def from_csr( graph: Graph, - offsets: collections.abc.Sequence[typing.SupportsIndex] + parent_offsets: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer], parents: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer], - via: collections.abc.Sequence[typing.SupportsIndex] + via_edges: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer], - ) -> PredDAG: ... + ) -> PredecessorDAG: ... # reason: a read-only int32 view # generated: def parents(self) -> numpy.ndarray: def parents(self) -> numpy.typing.NDArray[numpy.int32]: ... @@ -138,101 +138,110 @@ class FlowRecord: # generated: (none) def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... # reason: a list of (EdgeId, units) pairs; units are exact Python ints - # generated: def drops(self) -> list: + # generated: def edge_drops(self) -> list: @property - def drops(self) -> list[tuple[int, int]]: ... + def edge_drops(self) -> list[tuple[int, int]]: ... # reason: a list of (EdgeId, units) pairs - # generated: def edges(self) -> list: + # generated: def edge_flows(self) -> list: @property - def edges(self) -> list[tuple[int, int]]: ... + def edge_flows(self) -> list[tuple[int, int]]: ... # reason: a list of (EdgeId, units) pairs - # generated: def reserved_edges(self) -> list: + # generated: def edge_reservations(self) -> list: @property - def reserved_edges(self) -> list[tuple[int, int]]: ... + def edge_reservations(self) -> list[tuple[int, int]]: ... # reason: an exact Python int for a Lossy flow, None otherwise # generated: def offered(self) -> typing.Any: @property def offered(self) -> int | None: ... # reason: an int, None when the route is empty - # generated: def route_cost(self) -> typing.Any: + # generated: def min_route_cost(self) -> typing.Any: @property - def route_cost(self) -> int | None: ... + def min_route_cost(self) -> int | None: ... class FlowLedger: # reason: the service and reservation baselines are integers, or None for the capacities - # generated: def __init__(self, graph: Graph, residual: typing.Any = None, *, unreserved: typing.Any = None) -> None: + # generated: def __init__(self, graph: Graph, service_baseline: typing.Any = None, *, reservation_baseline: typing.Any = None) -> None: def __init__( self, graph: Graph, - residual: collections.abc.Sequence[typing.SupportsIndex] + service_baseline: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer] | None = None, *, - unreserved: collections.abc.Sequence[typing.SupportsIndex] + reservation_baseline: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer] | None = None, ) -> None: ... - # reason: sources is a node set; elig may be None (all allowed) - # generated: def bottleneck(self, sources: typing.Any, elig: Eligibility = None) -> list[int]: - def bottleneck( + # reason: sources is a node set; eligibility may be None (all allowed) + # generated: def saturated_boundary_edges(self, sources: typing.Any, eligibility: Eligibility = None) -> list[int]: + def saturated_boundary_edges( self, sources: typing.SupportsIndex | collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer], - elig: Eligibility | None = None, + eligibility: Eligibility | None = None, ) -> list[int]: ... # reason: a read-only int64 view - # generated: def capacity_units(self) -> numpy.ndarray: - def capacity_units(self) -> numpy.typing.NDArray[numpy.int64]: ... + # generated: def edge_capacity_units(self) -> numpy.ndarray: + def edge_capacity_units(self) -> numpy.typing.NDArray[numpy.int64]: ... # reason: a FlowId is a tuple (ledger uid, id) of integers # generated: def record(self, flow_id: typing.Any) -> FlowRecord: def record( self, flow_id: tuple[typing.SupportsIndex, typing.SupportsIndex] ) -> FlowRecord: ... # reason: the new baselines are integers, or None for the capacities - # generated: def reset(self, residual: typing.Any = None, *, unreserved: typing.Any = None) -> None: + # generated: def reset(self, service_baseline: typing.Any = None, *, reservation_baseline: typing.Any = None) -> None: def reset( self, - residual: collections.abc.Sequence[typing.SupportsIndex] + service_baseline: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer] | None = None, *, - unreserved: collections.abc.Sequence[typing.SupportsIndex] + reservation_baseline: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer] | None = None, ) -> None: ... -class Absolute: +class AbsoluteCost: # reason: cost is an integer # generated: def __init__(self, cost: typing.Any) -> None: def __init__(self, cost: typing.SupportsIndex) -> None: ... -class Stretch: - # reason: factor is a number (a float, a NumPy floating scalar or an integer) +class CostStretch: + # reason: factor is a Fraction, a float, a NumPy floating scalar or an integer (a bool is rejected at run time) # generated: def __init__(self, factor: typing.Any) -> None: def __init__( - self, factor: float | numpy.floating | typing.SupportsIndex + self, + factor: fractions.Fraction | float | numpy.floating | typing.SupportsIndex, ) -> None: ... + # reason: the exact factor, a fractions.Fraction built on each access + # generated: def factor(self) -> typing.Any: + @property + def factor(self) -> fractions.Fraction: ... -class Tunnels: +class TunnelCount: # reason: count is an integer - # generated: def __init__(self, count: typing.Any, *, up_to: bool = False) -> None: - def __init__(self, count: typing.SupportsIndex, *, up_to: bool = False) -> None: ... + # generated: def __init__(self, per_head: typing.Any, *, up_to: bool = False) -> None: + def __init__( + self, per_head: typing.SupportsIndex, *, up_to: bool = False + ) -> None: ... -class CapacityAware: - # reason: the ceiling is Absolute, Stretch or None; the search minimum is an integer - # generated: def __init__(self, tunnels: Tunnels, *, max_path_cost: typing.Any = None, min_unreserved_bandwidth: typing.Any = 0) -> None: +class DistributedTE: + # reason: the ceiling is AbsoluteCost, CostStretch or None; the search minimum is an integer + # generated: def __init__(self, tunnel_count: TunnelCount, *, cost_ceiling: typing.Any = None, min_unreserved_bandwidth: typing.Any = 0, tie_break: RouteTieBreak = ..., parallel_edges: bool = True) -> None: def __init__( self, - tunnels: Tunnels, + tunnel_count: TunnelCount, *, - max_path_cost: Absolute | Stretch | None = None, + cost_ceiling: AbsoluteCost | CostStretch | None = None, min_unreserved_bandwidth: typing.SupportsIndex = 0, + tie_break: RouteTieBreak = ..., + parallel_edges: bool = True, ) -> None: ... - # reason: the ceiling given at construction: Absolute, Stretch or None - # generated: def max_path_cost(self) -> typing.Any: + # reason: the ceiling given at construction: AbsoluteCost, CostStretch or None + # generated: def cost_ceiling(self) -> typing.Any: @property - def max_path_cost(self) -> Absolute | Stretch | None: ... + def cost_ceiling(self) -> AbsoluteCost | CostStretch | None: ... class Tunnel: # reason: no constructor: a tunnel of ForwardingProgram.tunnels @@ -243,23 +252,23 @@ class Tunnel: @property def edges(self) -> tuple[int, ...] | None: ... -class Route: - # reason: head and weight are integers (weight checked by from_routes); bundle a Path or a PredDAG (TypeError otherwise) - # generated: def __init__(self, head: typing.Any, bundle: typing.Any, *, weight: typing.Any = 1) -> None: +class RouteDefinition: + # reason: head and weight are integers (weight checked by from_routes); bundle a Path or a PredecessorDAG (TypeError otherwise) + # generated: def __init__(self, head: typing.Any, route: typing.Any, *, weight: typing.Any = 1) -> None: def __init__( self, head: typing.SupportsIndex, - bundle: Path | PredDAG, + route: Path | PredecessorDAG, *, weight: typing.SupportsIndex = 1, ) -> None: ... class ForwardingProgram: - # reason: no constructor: made by from_routes and returned by the policies + # reason: no constructor: made by from_routes or from_dag and returned by the policies # generated: (none) def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... # reason: sources and destinations are node sets; routes a sequence of Route; edge_weights and residual integers or None - # generated: def from_routes(graph: Graph, sources: typing.Any, destinations: typing.Any, routes: typing.Any, *, placement: FlowPlacement | None = None, weights: WeightBasis | None = None, edge_weights: typing.Any = None, residual: typing.Any = None) -> ForwardingProgram: + # generated: def from_routes(graph: Graph, sources: typing.Any, destinations: typing.Any, routes: typing.Any, *, allocation: RouteAllocation | None = None, weight_basis: WeightBasis | None = None, edge_weights: typing.Any = None, residual: typing.Any = None) -> ForwardingProgram: @staticmethod def from_routes( graph: Graph, @@ -269,10 +278,32 @@ class ForwardingProgram: destinations: typing.SupportsIndex | collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer], - routes: collections.abc.Sequence[Route], + routes: collections.abc.Sequence[RouteDefinition], + *, + allocation: RouteAllocation | None = None, + weight_basis: WeightBasis | None = None, + edge_weights: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None = None, + residual: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None = None, + ) -> ForwardingProgram: ... + # reason: sources and destinations are node sets; dag a PredecessorDAG; edge_weights and residual integers or None + # generated: def from_dag(graph: Graph, sources: typing.Any, destinations: typing.Any, dag: typing.Any, *, allocation: RouteAllocation | None = None, weight_basis: WeightBasis | None = None, edge_weights: typing.Any = None, residual: typing.Any = None) -> ForwardingProgram: + @staticmethod + def from_dag( + graph: Graph, + sources: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + destinations: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + dag: PredecessorDAG, *, - placement: FlowPlacement | None = None, - weights: WeightBasis | None = None, + allocation: RouteAllocation | None = None, + weight_basis: WeightBasis | None = None, edge_weights: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer] | None = None, @@ -297,14 +328,36 @@ class ForwardingProgram: @property def tunnels(self) -> tuple[Tunnel, ...]: ... -class Global: - # reason: support is a PredDAG or None; tunnels (T2) a Tunnels or None - # generated: def __init__(self, *, support: typing.Any = None, tunnels: typing.Any = None, prefer_headroom: bool = False) -> None: +class ShortestPaths: + # reason: edge_weights one integer per edge (a sequence or an integer array) or None + # generated: def __init__(self, *, allocation: RouteAllocation = ..., source_allocation: SourceAllocation | None = None, weight_basis: WeightBasis | None = None, edge_weights: typing.Any = None, tie_break: RouteTieBreak = ..., multipath: bool = True, parallel_edges: bool = True) -> None: + def __init__( + self, + *, + allocation: RouteAllocation = ..., + source_allocation: SourceAllocation | None = None, + weight_basis: WeightBasis | None = None, + edge_weights: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None = None, + tie_break: RouteTieBreak = ..., + multipath: bool = True, + parallel_edges: bool = True, + ) -> None: ... + # reason: the explicit weights, one int per edge, or None + # generated: def edge_weights(self) -> typing.Any: + @property + def edge_weights(self) -> tuple[int, ...] | None: ... + +class CentralizedTE: + # reason: support is a PredecessorDAG or None; tunnel_count (T2) a TunnelCount or None + # generated: def __init__(self, *, source_allocation: SourceAllocation, support: typing.Any = None, tunnel_count: typing.Any = None, prefer_headroom: bool = False) -> None: def __init__( self, *, - support: PredDAG | None = None, - tunnels: Tunnels | None = None, + source_allocation: SourceAllocation, + support: PredecessorDAG | None = None, + tunnel_count: TunnelCount | None = None, prefer_headroom: bool = False, ) -> None: ... @@ -317,28 +370,17 @@ class Pinned: class FlowPolicyConfig: # reason: routing is one of the four routing modes (TypeError otherwise) - # generated: def __init__(self, *, routing: typing.Any, placement: FlowPlacement | None = None, admission: Admission = ..., selection: PathSelection | None = None, origin: Origin | None = None, weights: WeightBasis | None = None, edge_weights: typing.Any = None) -> None: + # generated: def __init__(self, *, routing: typing.Any, admission: Admission = ...) -> None: def __init__( self, *, - routing: CostOnly | CapacityAware | Global | Pinned, - placement: FlowPlacement | None = None, + routing: ShortestPaths | DistributedTE | CentralizedTE | Pinned, admission: Admission = ..., - selection: PathSelection | None = None, - origin: Origin | None = None, - weights: WeightBasis | None = None, - edge_weights: collections.abc.Sequence[typing.SupportsIndex] - | numpy.typing.NDArray[numpy.integer] - | None = None, ) -> None: ... - # reason: the explicit weights, one int per edge, or None - # generated: def edge_weights(self) -> typing.Any: - @property - def edge_weights(self) -> tuple[int, ...] | None: ... # reason: the routing mode given at construction # generated: def routing(self) -> typing.Any: @property - def routing(self) -> CostOnly | CapacityAware | Global | Pinned: ... + def routing(self) -> ShortestPaths | DistributedTE | CentralizedTE | Pinned: ... class SourceFlow: # reason: no constructor: one row of PlacementResult.by_source @@ -349,17 +391,17 @@ class SourceFlow: @property def admitted(self) -> int: ... # reason: an exact int (a 128-bit counter) - # generated: def dropped(self) -> typing.Any: + # generated: def total_edge_drops(self) -> typing.Any: @property - def dropped(self) -> int: ... + def total_edge_drops(self) -> int: ... # reason: an exact int when LOSSY, None when LOSSLESS # generated: def offered(self) -> typing.Any: @property def offered(self) -> int | None: ... # reason: an exact int (a 128-bit counter) - # generated: def source_loss(self) -> typing.Any: + # generated: def source_drops(self) -> typing.Any: @property - def source_loss(self) -> int: ... + def source_drops(self) -> int: ... class TunnelFlow: # reason: no constructor: one row of PlacementResult.by_tunnel @@ -370,9 +412,9 @@ class TunnelFlow: @property def assigned(self) -> int: ... # reason: an exact int (a 128-bit counter) - # generated: def dropped(self) -> typing.Any: + # generated: def total_edge_drops(self) -> typing.Any: @property - def dropped(self) -> int: ... + def total_edge_drops(self) -> int: ... class PlacementResult: # reason: no constructor: returned by FlowPolicy.place and the evaluators @@ -391,9 +433,9 @@ class PlacementResult: @property def by_tunnel(self) -> tuple[TunnelFlow, ...]: ... # reason: a list of (EdgeId, units) pairs - # generated: def call_drops(self) -> list: + # generated: def call_edge_drops(self) -> list: @property - def call_drops(self) -> list[tuple[int, int]]: ... + def call_edge_drops(self) -> list[tuple[int, int]]: ... # reason: an exact int when LOSSY, None when LOSSLESS # generated: def offered(self) -> typing.Any: @property @@ -403,9 +445,9 @@ class PlacementResult: @property def requested(self) -> int | float: ... # reason: an exact int (a 128-bit counter) - # generated: def source_loss(self) -> typing.Any: + # generated: def source_drops(self) -> typing.Any: @property - def source_loss(self) -> int: ... + def source_drops(self) -> int: ... # reason: an exact int for the controllers, None otherwise # generated: def total_cost(self) -> typing.Any: @property @@ -415,25 +457,25 @@ class PlacementResult: @property def unadmitted(self) -> int | None: ... # reason: a list of (EdgeId, units) pairs; units are exact Python ints - # generated: def drops(self) -> list: + # generated: def edge_drops(self) -> list: @property - def drops(self) -> list[tuple[int, int]]: ... + def edge_drops(self) -> list[tuple[int, int]]: ... # reason: an int64 array when requested, else None # generated: def edge_flows(self) -> typing.Any: @property def edge_flows(self) -> numpy.typing.NDArray[numpy.int64] | None: ... # reason: an int, or float('inf') after an infinite request - # generated: def remaining(self) -> typing.Any: + # generated: def call_undelivered(self) -> typing.Any: @property - def remaining(self) -> int | float: ... + def call_undelivered(self) -> int | float: ... # reason: an int64 array when requested, else None # generated: def residual(self) -> typing.Any: @property def residual(self) -> numpy.typing.NDArray[numpy.int64] | None: ... # reason: an int64 array when requested, else None - # generated: def reservation_edge_flows(self) -> typing.Any: + # generated: def edge_reservations(self) -> typing.Any: @property - def reservation_edge_flows(self) -> numpy.typing.NDArray[numpy.int64] | None: ... + def edge_reservations(self) -> numpy.typing.NDArray[numpy.int64] | None: ... class TunnelPlan: # reason: no constructor: the plan of a T1 or T2 result @@ -444,34 +486,34 @@ class TunnelPlan: @property def design_demand(self) -> int | float: ... # reason: an exact Fraction (T2), or None for T1 - # generated: def fluid_share(self) -> typing.Any: + # generated: def max_fractional_bandwidth_per_tunnel(self) -> typing.Any: @property - def fluid_share(self) -> fractions.Fraction | None: ... + def max_fractional_bandwidth_per_tunnel(self) -> fractions.Fraction | None: ... # reason: (head, share) pairs - # generated: def head_design(self) -> tuple: + # generated: def design_by_head(self) -> tuple: @property - def head_design(self) -> tuple[tuple[int, int], ...]: ... + def design_by_head(self) -> tuple[tuple[int, int], ...]: ... # reason: an exact int, possibly above 2^64 (T2 with prefer_headroom), or None # generated: def headroom_penalty(self) -> typing.Any: @property def headroom_penalty(self) -> int | None: ... # reason: the live heads, ascending (T2), or None for T1 - # generated: def live_heads(self) -> typing.Any: + # generated: def heads_with_capacity(self) -> typing.Any: @property - def live_heads(self) -> tuple[int, ...] | None: ... + def heads_with_capacity(self) -> tuple[int, ...] | None: ... # reason: an exact int, possibly above 2^64 (T2), or None for T1 - # generated: def route_cost(self) -> typing.Any: + # generated: def total_tunnel_cost(self) -> typing.Any: @property - def route_cost(self) -> int | None: ... + def total_tunnel_cost(self) -> int | None: ... -class DagCacheStats: - # reason: no constructor: returned by DagCache.stats +class ShortestPathCacheStats: + # reason: no constructor: returned by ShortestPathCache.stats # generated: (none) def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... class FlowPolicy: - # reason: sources and destinations are node sets; elig and cache may be None - # generated: def __init__(self, ledger: FlowLedger, sources: typing.Any, destinations: typing.Any, config: FlowPolicyConfig, elig: Eligibility = None, cache: DagCache = None) -> None: + # reason: sources and destinations are node sets; eligibility and cache may be None + # generated: def __init__(self, ledger: FlowLedger, sources: typing.Any, destinations: typing.Any, config: FlowPolicyConfig, eligibility: Eligibility = None, cache: ShortestPathCache = None) -> None: def __init__( self, ledger: FlowLedger, @@ -482,14 +524,14 @@ class FlowPolicy: | collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer], config: FlowPolicyConfig, - elig: Eligibility | None = None, - cache: DagCache | None = None, + eligibility: Eligibility | None = None, + cache: ShortestPathCache | None = None, ) -> None: ... # reason: volume is integer units or float('inf') (a NumPy floating +inf too); outputs may be None; the result is a PlacementResult - # generated: def place(self, volume: typing.Any, outputs: typing.Any = None) -> typing.Any: + # generated: def place(self, offer: typing.Any, outputs: typing.Any = None) -> typing.Any: def place( self, - volume: typing.SupportsIndex | float | numpy.floating, + offer: typing.SupportsIndex | float | numpy.floating, outputs: OutputOptions | None = None, ) -> PlacementResult: ... # reason: offer and design_demand are integer units or float('inf') (design_demand may be None); outputs may be None; the result is a PlacementResult @@ -525,35 +567,27 @@ class FlowPolicy: self, flow_id: tuple[typing.SupportsIndex, typing.SupportsIndex] ) -> FlowRecord: ... -class QueryOptions: - # reason: elig, cache, outputs, design_demand and offered may be None; design_demand and offered are integer units or float('inf') - # generated: def __init__(self, config: FlowPolicyConfig, *, elig: Eligibility = None, cache: DagCache = None, outputs: typing.Any = None, design_demand: typing.Any = None, offered: typing.Any = None) -> None: +class EvaluationOptions: + # reason: eligibility, cache, outputs, design_demand and offer may be None; design_demand and offer are integer units or a float, kept as given + # generated: def __init__(self, config: FlowPolicyConfig, *, eligibility: Eligibility = None, cache: ShortestPathCache = None, outputs: typing.Any = None, design_demand: typing.Any = None, offer: typing.Any = None) -> None: def __init__( self, config: FlowPolicyConfig, *, - elig: Eligibility | None = None, - cache: DagCache | None = None, + eligibility: Eligibility | None = None, + cache: ShortestPathCache | None = None, outputs: OutputOptions | None = None, design_demand: typing.SupportsIndex | float | numpy.floating | None = None, - offered: typing.SupportsIndex | float | numpy.floating | None = None, + offer: typing.SupportsIndex | float | numpy.floating | None = None, ) -> None: ... - # reason: the design given, an int or float('inf'), or None + # reason: the design as given, an int or a float, or None # generated: def design_demand(self) -> typing.Any: @property def design_demand(self) -> int | float | None: ... - # reason: the offer given, an int or float('inf'), or None - # generated: def offered(self) -> typing.Any: - @property - def offered(self) -> int | float | None: ... - # reason: None when no cache was given - # generated: def cache(self) -> DagCache: - @property - def cache(self) -> DagCache | None: ... - # reason: None when no Eligibility was given - # generated: def elig(self) -> Eligibility: + # reason: the offer as given, an int or a float, or None + # generated: def offer(self) -> typing.Any: @property - def elig(self) -> Eligibility | None: ... + def offer(self) -> int | float | None: ... class SensitivityEntry: # reason: no constructor: the entries of a SensitivityResult @@ -566,31 +600,28 @@ class SensitivityResult: def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... class KspOptions: - # reason: k is an integer; the ceiling is Absolute, Stretch or None; residual is integers or None; elig may be None (each validated by ksp) - # generated: def __init__(self, k: typing.Any, selection: PathSelection, *, max_path_cost: typing.Any = None, residual: typing.Any = None, elig: Eligibility = None) -> None: + # reason: k is an integer; the ceiling is AbsoluteCost, CostStretch or None; residual is integers or None; eligibility may be None (each validated by ksp) + # generated: def __init__(self, k: typing.Any, *, tie_break: RouteTieBreak = ..., parallel_edges: bool = True, cost_ceiling: typing.Any = None, residual: typing.Any = None, eligibility: Eligibility = None) -> None: def __init__( self, k: typing.SupportsIndex, - selection: PathSelection, *, - max_path_cost: Absolute | Stretch | None = None, + tie_break: RouteTieBreak = ..., + parallel_edges: bool = True, + cost_ceiling: AbsoluteCost | CostStretch | None = None, residual: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer] | None = None, - elig: Eligibility | None = None, + eligibility: Eligibility | None = None, ) -> None: ... - # reason: None when no Eligibility was given - # generated: def elig(self) -> Eligibility: - @property - def elig(self) -> Eligibility | None: ... # reason: the k given at construction (an integer) # generated: def k(self) -> typing.Any: @property def k(self) -> typing.SupportsIndex: ... # reason: the ceiling given at construction - # generated: def max_path_cost(self) -> typing.Any: + # generated: def cost_ceiling(self) -> typing.Any: @property - def max_path_cost(self) -> Absolute | Stretch | None: ... + def cost_ceiling(self) -> AbsoluteCost | CostStretch | None: ... # reason: the residual given at construction (the same object) # generated: def residual(self) -> typing.Any: @property @@ -603,27 +634,25 @@ class KspOptions: ): ... class SpfOptions: - # reason: targets is a node set or None; residual is integers or None; min_residual is an integer; elig may be None (each validated by spf) - # generated: def __init__(self, direction: Direction, selection: PathSelection, *, targets: typing.Any = None, residual: typing.Any = None, min_residual: typing.Any = 1, elig: Eligibility = None) -> None: + # reason: targets is a node set or None; residual is integers or None; min_residual is an integer; eligibility may be None (each validated by spf) + # generated: def __init__(self, direction: Direction, *, targets: typing.Any = None, tie_break: RouteTieBreak = ..., multipath: bool = True, parallel_edges: bool = True, residual: typing.Any = None, min_residual: typing.Any = 1, eligibility: Eligibility = None) -> None: def __init__( self, direction: Direction, - selection: PathSelection, *, targets: typing.SupportsIndex | collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer] | None = None, + tie_break: RouteTieBreak = ..., + multipath: bool = True, + parallel_edges: bool = True, residual: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer] | None = None, min_residual: typing.SupportsIndex = 1, - elig: Eligibility | None = None, + eligibility: Eligibility | None = None, ) -> None: ... - # reason: None when no Eligibility was given - # generated: def elig(self) -> Eligibility: - @property - def elig(self) -> Eligibility | None: ... # reason: the min_residual given at construction (an integer) # generated: def min_residual(self) -> typing.Any: @property @@ -658,10 +687,10 @@ class SpfResult: # generated: def costs(self) -> typing.Any: @property def costs(self) -> numpy.typing.NDArray[numpy.int64] | None: ... - # reason: always a PredDAG + # reason: always a PredecessorDAG # generated: def dag(self) -> typing.Any: @property - def dag(self) -> PredDAG: ... + def dag(self) -> PredecessorDAG: ... # reason: the nearest targets' cost, None when no target is reached and for a full search # generated: def target_cost(self) -> typing.Any: @property @@ -680,9 +709,9 @@ def as_float( x: typing.SupportsIndex, resolution: typing.SupportsFloat | typing.SupportsIndex ) -> float: ... -# reason: pairs of node sets, each pair a length-2 sequence (sources, destinations), an integer array included (so pairs may be an integer array of shape (k, 2), or (k, 2, m) for sets of m nodes); opts is QueryOptions; per_pair_elig has one Eligibility or None per pair; workers is an integer or None; one PlacementResult per pair -# generated: def batch_capacity(graph: Graph, pairs: typing.Any, opts: typing.Any, per_pair_elig: typing.Any = None, workers: typing.Any = None) -> typing.Any: -def batch_capacity( +# reason: pairs of node sets, each pair a length-2 sequence (sources, destinations), an integer array included (so pairs may be an integer array of shape (k, 2), or (k, 2, m) for sets of m nodes); opts is EvaluationOptions; per_pair_eligibility has one Eligibility or None per pair; workers is an integer or None; one PlacementResult per pair +# generated: def evaluate_pairs(graph: Graph, pairs: typing.Any, options: typing.Any, per_pair_eligibility: typing.Any = None, workers: typing.Any = None) -> typing.Any: +def evaluate_pairs( graph: Graph, pairs: collections.abc.Sequence[ collections.abc.Sequence[ @@ -693,14 +722,14 @@ def batch_capacity( | numpy.typing.NDArray[numpy.integer] ] | numpy.typing.NDArray[numpy.integer], - opts: QueryOptions, - per_pair_elig: collections.abc.Sequence[Eligibility | None] | None = None, + options: EvaluationOptions, + per_pair_eligibility: collections.abc.Sequence[Eligibility | None] | None = None, workers: typing.SupportsIndex | None = None, ) -> list[PlacementResult]: ... -# reason: sources and destinations are node sets; opts is QueryOptions (TypeError otherwise) -# generated: def capacity(graph: Graph, sources: typing.Any, destinations: typing.Any, opts: typing.Any) -> typing.Any: -def capacity( +# reason: sources and destinations are node sets; opts is EvaluationOptions (TypeError otherwise) +# generated: def evaluate_demand(graph: Graph, sources: typing.Any, destinations: typing.Any, options: typing.Any) -> typing.Any: +def evaluate_demand( graph: Graph, sources: typing.SupportsIndex | collections.abc.Sequence[typing.SupportsIndex] @@ -708,29 +737,32 @@ def capacity( destinations: typing.SupportsIndex | collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer], - opts: QueryOptions, + options: EvaluationOptions, ) -> PlacementResult: ... # reason: src and dst are integers; opts is KspOptions; a list of (cost, Path) -# generated: def ksp(graph: Graph, src: typing.Any, dst: typing.Any, opts: typing.Any) -> list: +# generated: def ksp(graph: Graph, source: typing.Any, destination: typing.Any, options: typing.Any) -> list: def ksp( - graph: Graph, src: typing.SupportsIndex, dst: typing.SupportsIndex, opts: KspOptions + graph: Graph, + source: typing.SupportsIndex, + destination: typing.SupportsIndex, + options: KspOptions, ) -> list[tuple[int, Path]]: ... # reason: src, dst and max_paths are integers (max_paths may be None); a list of Path -# generated: def resolve_to_paths(graph: Graph, dag: PredDAG, src: typing.Any, dst: typing.Any, split_parallel_edges: bool = False, max_paths: typing.Any = None) -> list: +# generated: def resolve_to_paths(graph: Graph, dag: PredecessorDAG, source: typing.Any, destination: typing.Any, split_parallel_edges: bool = False, max_paths: typing.Any = None) -> list: def resolve_to_paths( graph: Graph, - dag: PredDAG, - src: typing.SupportsIndex, - dst: typing.SupportsIndex, + dag: PredecessorDAG, + source: typing.SupportsIndex, + destination: typing.SupportsIndex, split_parallel_edges: bool = False, max_paths: typing.SupportsIndex | None = None, ) -> list[Path]: ... -# reason: sources and destinations are node sets; opts is QueryOptions; workers is an integer or None -# generated: def sensitivity(graph: Graph, sources: typing.Any, destinations: typing.Any, opts: typing.Any, workers: typing.Any = None) -> typing.Any: -def sensitivity( +# reason: sources and destinations are node sets; opts is EvaluationOptions; workers is an integer or None +# generated: def evaluate_edge_failures(graph: Graph, sources: typing.Any, destinations: typing.Any, options: typing.Any, workers: typing.Any = None) -> typing.Any: +def evaluate_edge_failures( graph: Graph, sources: typing.SupportsIndex | collections.abc.Sequence[typing.SupportsIndex] @@ -738,18 +770,18 @@ def sensitivity( destinations: typing.SupportsIndex | collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer], - opts: QueryOptions, + options: EvaluationOptions, workers: typing.SupportsIndex | None = None, ) -> SensitivityResult: ... # reason: roots is a node set; opts is SpfOptions (TypeError otherwise) -# generated: def spf(graph: Graph, roots: typing.Any, opts: typing.Any) -> typing.Any: +# generated: def spf(graph: Graph, roots: typing.Any, options: typing.Any) -> typing.Any: def spf( graph: Graph, roots: typing.SupportsIndex | collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer], - opts: SpfOptions, + options: SpfOptions, ) -> SpfResult: ... # reason: a scalar number gives an int, a sequence or a 1-D array of numbers an int64 array (a 0-d array gives an int, which the array overload cannot say) diff --git a/docs/semantics.md b/docs/semantics.md index 99dfc9e..0993e43 100644 --- a/docs/semantics.md +++ b/docs/semantics.md @@ -1,8 +1,8 @@ # NetGraph-Core semantics This document says exactly what NetGraph-Core computes: how amounts are counted, how edges are -numbered, which route a search returns, how a placement spreads traffic, what a placement call -reports and when it fails, how the shortest-path cache behaves, and what the evaluators mean. It +numbered, which route a search returns, how each routing model spreads traffic, what a call reports +and when it fails, how the shortest-path cache behaves, and what the evaluators mean. It is the full reference behind the API docstrings. For installation and a first example, see the [README](../README.md#installation). @@ -15,13 +15,13 @@ Contents: 1. [Units: the one numeric domain](#1-units-the-one-numeric-domain) 2. [The graph](#2-the-graph) -3. [Route values: PredDAG and Path](#3-route-values-preddag-and-path) +3. [Route values: PredecessorDAG and Path](#3-route-values-predecessordag-and-path) 4. [Search](#4-search) -5. [Placement kernels and admission](#5-placement-kernels-and-admission) +5. [Route allocations and admission](#5-route-allocations-and-admission) 6. [The ledger](#6-the-ledger) 7. [Policies](#7-policies) 8. [Failures, threads and lifetimes](#8-failures-threads-and-lifetimes) -9. [The DAG cache](#9-the-dag-cache) +9. [The shortest-path cache](#9-the-shortest-path-cache) 10. [Evaluators](#10-evaluators) 11. [C++ names](#11-c-names) @@ -49,53 +49,56 @@ Contents: destinations (a `FlowPolicy`): it computes that demand's routes, forwards its traffic over them and removes it again. - **Roster.** The sources of a policy that take part in placement, fixed when the policy is built. -- **Origin.** How a demand's total enters at its roster sources: in equal round-robin shares - (`EQUAL`) or as a controller chooses (`OPTIMIZED`). +- **Source allocation.** How a demand's total enters at its roster sources: in equal round-robin + shares (`SourceAllocation.EQUAL`) or as a controller chooses (`OPTIMIZED`). - **Round robin `RR(x, k, i)`.** `x` units over `k` members: `x // k` each, and one more for the first `x % k` members. - **Highest averages `H(x, w)`.** `x` units over members with integer weights `w`, given one at a time to the member with the largest `w[i] / (assigned[i] + 1)`, ties to the earlier member; a zero weight gets nothing. - **Program.** A `ForwardingProgram`: the routes and integer weights of one demand and the rule - that injects its traffic at the sources. CostOnly, Global, T1 (`CapacityAware`) and T2 produce one; - `Pinned` forwards a given one without computing anything ([section 7](#forwarding-programs)). + that injects its traffic at the sources. `ShortestPaths`, `CentralizedTE`, T1 (`DistributedTE`) + and T2 produce one; `Pinned` forwards a given one without computing anything + ([section 7](#forwarding-programs)). - **Entry.** One route of a program: a **tunnel** (one path, one edge per hop) or a **split route** (a DAG whose routers split by fixed rules). Each entry has an integer identifier, its - `index`, and a weight: its share among its head's entries. + `entry_id`, and a weight: its share among its head's entries. - **Head.** A roster source, as the start of its entries. -- **T1.** `CapacityAware(Tunnels(N))`: every head sets up its own N strict-bandwidth tunnels by +- **T1.** `DistributedTE(TunnelCount(N))`: every head sets up its own N strict-bandwidth tunnels by CSPF (constrained shortest path first: a shortest path among the links with enough unreserved bandwidth), with no controller ([section 7](#t1-tunnels-set-up-by-their-heads)). -- **T2.** `Global(tunnels=Tunnels(N))`: a central controller lays out N single-path tunnels for - every live head with one common whole-unit planned bandwidth - ([section 7](#t2-the-controllers-equal-tunnels)). +- **T2.** `CentralizedTE(source_allocation=..., tunnel_count=TunnelCount(N))`: a central + controller lays out N single-path tunnels for every live head with one common whole-unit planned + bandwidth ([section 7](#t2-the-controllers-equal-tunnels)). - **Hold.** Bandwidth an up T1 tunnel reserves on every link of its path. Holds are the ledger's - second projection (`reserved`, `unreserved`), kept apart from the carried traffic (`allocated`, + second projection (`reserved`, `unreserved`), kept apart from the carried traffic (`carried`, `residual`); they never police or queue traffic. - **Design demand.** The volume T1 and T2 size their tunnels for (`design_demand`), separately from the offer they forward. T2's planned bandwidth is metadata, never a hold. - **Split context.** The traffic a split route's routers split: only that route's own share. A - `CostOnly` program is one context pooled over its sources; every supplied split route is its - own. + `ShortestPaths` program and a `from_dag` program are one context pooled over their sources; + every split route given to `from_routes` is its own. - **Black hole.** A node or edge that fails silently: forwarding goes on unchanged and traffic that reaches it disappears there (stale forwarding). -- **Controller.** A routing that solves a flow problem for the whole demand: `Global`, and - `CostOnly` with `MAX_FLOW`. -- **Offer.** The part of a request that a call asks one source to place. +- **Controller.** A routing that solves a flow problem for the whole demand: `CentralizedTE` + without a tunnel count, and `ShortestPaths` with `allocation=OPTIMIZED`. +- **Offer.** The traffic a call asks a policy to carry (`place(offer)`, `replace(offer)`, ...). - **Epoch.** The period from a policy's construction, a `remove()`, a `replace()` or a `forward()` - to the next of these; the requests of `place` add up within it. + to the next of these; the offers of `place` add up within it. - **Lossless / Lossy.** Admission control: Lossless places only what fits end to end; Lossy forwards hop by hop and drops what does not fit on each edge. - **Static.** Depending only on the graph, the costs and the Eligibility, not on traffic already placed (a static walk, the static shortest cost). +- **Route choice.** The tie rule (`RouteTieBreak`), `multipath` and `parallel_edges` of a model or + a search ([section 4](#the-route-choice)): cost always comes first, and the tie rule only + orders equal-cost choices. - **Member graph.** The edges a search may use: eligible (and, when a residual is supplied, at least the search's residual threshold), whatever their capacity, and one member per pair with - `multi_edge=False`. -- **Kernel.** The rule that spreads one flow over its route: `MAX_FLOW`, `WEIGHTED` or - `EQUAL_BALANCED`. -- **Bundle.** The route of one record, as a `PredDAG`. -- **View.** The capacity a solve may use: the free capacity plus the flow's (or the `Global` - policy's) own allocation. + `parallel_edges=False`. +- **Route allocation.** The rule that spreads one flow over its route (`RouteAllocation`): + `OPTIMIZED`, `WEIGHTED` or `EQUAL`. +- **Route of a record.** The edges one record may use, as a `PredecessorDAG` (`FlowRecord.route`). +- **View.** The capacity a solve may use: the free capacity plus the policy's own allocation. - **Minimum cut.** A set of edges whose removal separates the sources from the destinations, with the smallest total capacity; that capacity equals the maximum flow. - **Marginal cost curve.** `(cost, units)` pairs in ascending cost: delivering `units` more units @@ -109,19 +112,13 @@ output of the example above it. import netgraph_core as ngc def graph(num_nodes, edges, q=1.0): - """edges: (src, dst, capacity_units, cost) tuples in input order.""" - src, dst, cap, cost = zip(*edges) - return ngc.Graph(num_nodes, list(src), list(dst), list(cap), list(cost), q) - -DET = ngc.PathSelection(ngc.EdgeTieBreak.DETERMINISTIC, ngc.EdgePriority.CAPACITY) -PREFER = ngc.PathSelection(ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, ngc.EdgePriority.CAPACITY) - -def config(routing, placement=ngc.FlowPlacement.EQUAL_BALANCED, - admission=ngc.Admission.LOSSLESS, selection=DET): - """A CostOnly configuration with a kernel and a selection (Global, CapacityAware and Pinned - take no kernel).""" - return ngc.FlowPolicyConfig(routing=routing, placement=placement, - admission=admission, selection=selection) + """edges: (source, destination, capacity units, cost) tuples in input order.""" + sources, destinations, capacities, costs = zip(*edges) + return ngc.Graph(num_nodes, list(sources), list(destinations), list(capacities), list(costs), q) + +def config(routing, admission=ngc.Admission.LOSSLESS): + """A configuration: the routing model and the admission.""" + return ngc.FlowPolicyConfig(routing=routing, admission=admission) ``` ## 1. Units: the one numeric domain @@ -139,10 +136,10 @@ separate kind of number: positive integers that are never converted. - **Amounts.** Capacities, residuals, allocations, requests, deliveries, offers and drops are integers in units of `q`. In Python they are `int` (exact, unbounded); per-edge arrays are NumPy `int64[E]`. Cumulative counters that are sums over many calls (a Lossy record's - `offered` and its per-edge `drops`) may exceed 64 bits; Python returns them as exact `int`. + `offered` and its per-edge `edge_drops`) may exceed 64 bits; Python returns them as exact `int`. - **Domain.** Every edge capacity, and the sum of all capacities, is below `2^62` units. Edge costs are integers of at least 1 and their sum is below `2^62`, so no path cost reaches the - sentinel `UNREACHABLE` (the largest `int64`). A request is an integer in `[0, 2^62)` units or + sentinel `UNREACHABLE` (the largest `int64`). An offer is an integer in `[0, 2^62)` units or positive infinity (`float('inf')`, "as much as possible"). Everything outside the domain is a `ValueError` raised before anything changes. - **`to_units(x, q)`** converts physical values to units, rounding half up: a scalar gives an @@ -155,11 +152,11 @@ separate kind of number: positive integers that are never converted. routing: searches, routes and rosters treat it like any other edge, and only a supplied residual (below the search's threshold) or an Eligibility removes an edge from a search. An equal split still sends such an edge its share, which it cannot carry - ([section 5](#5-placement-kernels-and-admission)). A physical request below `q / 2` converts to - 0 units. A request of 0 units is accepted after - validation and does nothing (its result is `COMPLETE`). + ([section 5](#5-route-allocations-and-admission)). A physical offer below `q / 2` converts to + 0 units. An offer of 0 units is accepted after validation and does nothing (its result is + `COMPLETE`); it is not a removal: `remove()` is. - **Splitting units.** When a node forwards `I` units over `k` member edges: - - **round robin** (`EQUAL_BALANCED`): every member gets `I // k` units and the first `I % k` + - **round robin** (`EQUAL`): every member gets `I // k` units and the first `I % k` members, in ascending EdgeId, get one more; - **highest averages** (`WEIGHTED`, the D'Hondt rule): the units are handed out one at a time, each to the member with the largest `w / (a + 1)` (its weight `w` over its current count @@ -186,14 +183,16 @@ print(ngc.to_units(10.0, 2.0**-12), ngc.as_float(40960, 2.0**-12)) public number, its EdgeId, by sorting the edges by source, cost and destination; only edges that agree on all three keep their input order among themselves. A map gives back each edge's input position. All per-edge arrays the library reads or returns are in EdgeId order, and every -tie rule of the library ("the lowest EdgeId") refers to this order. +tie rule of the library ("the lowest EdgeId") refers to this order. A caller who keeps per-edge +values in input order (explicit weights, a residual, exclusions) maps them through +`input_positions()` first. **Exact rules.** -- **Construction.** `Graph(num_nodes, src, dst, capacity_units, cost, resolution)` builds an - immutable directed multigraph: parallel edges and self-loops are allowed. The arrays are in - input order (the caller's). Capacities are already in units; use `to_units` for physical - values. +- **Construction.** `Graph(num_nodes, edge_sources, edge_destinations, edge_capacity_units, + edge_costs, resolution)` builds an immutable directed multigraph: parallel edges and self-loops + are allowed. The arrays are in input order (the caller's). Capacities are already in units; use + `to_units` for physical values. - **Validation order.** When an input has several defects, the first in this order is reported as a `ValueError`: the resolution; the capacity values (each an integer in `[0, 2^62)`; floats and booleans are rejected, not rounded); the array shapes; a zero or negative cost; the remaining @@ -203,47 +202,50 @@ tie rule of the library ("the lowest EdgeId") refers to this order. without narrowing, so the reported error does not depend on how the same input is represented. - **Size.** Node ids and EdgeIds are `int32`: a graph has at most `INT32_MAX` (`2^31 - 1`) nodes and at most as many edges. The constructor accepts every graph within these bounds, and the - searches and route values work on all of them. The flow core (`Global` routing, the `MAX_FLOW` kernel and the - evaluators that use them) numbers a solve's network in `int32` as well: it adds a virtual + searches and route values work on all of them. The flow core (`CentralizedTE` routing, the + `OPTIMIZED` allocation and the evaluators that use them) numbers a solve's network in `int32` as + well: it adds a virtual source and a virtual sink, and gives every edge and every virtual arc (one per source, one per destination) two slots, one to add flow and one to cancel it. A solve therefore raises `ValueError`, before the solver sizes anything and with nothing changed, on a network of more than `INT32_MAX - 2` nodes, or with more than `2^30 - 1` edges, sources and destinations - together. A `Global` solve counts the graph's nodes, the eligible edges, the roster sources and - the eligible destinations; a `MAX_FLOW` solve counts the nodes of the flow's member edges and - endpoints, its member edges, its source and its destinations. Only graphs of billions of nodes - or about a billion edges reach these limits. -- **EdgeId.** The EdgeId of an edge is its rank in the stable order `(src, cost, dst, input - position)`. `input_index()[e]` is the input position of edge `e`; the inverse map is the - caller's to build (one pass over `E`). -- **EdgeId order is the coordinate of every per-edge value.** Residual arrays, Eligibility - exclusions, DAG and Path edges, flows, records, `bottleneck`, `min_cut` and sensitivity entries - all use EdgeIds. A caller that keeps per-edge data in input order translates it first: an + together. A `CentralizedTE` solve counts the graph's nodes, the eligible edges, the roster + sources and the eligible destinations; a `ShortestPaths` `OPTIMIZED` solve counts the nodes of + its route's edges and endpoints, those edges, its sources and its destinations. Only graphs of + billions of nodes or about a billion edges reach these limits. +- **EdgeId.** The EdgeId of an edge is its rank in the stable order `(source, cost, destination, + input position)`. `input_positions()[e]` is the input position of edge `e`; the inverse map is + the caller's to build (one pass over `E`). +- **EdgeId order is the coordinate of every per-edge value.** Residual arrays, explicit weights, + Eligibility exclusions, DAG and Path edges, flows, records, `saturated_boundary_edges`, `min_cut` + and the entries of `evaluate_edge_failures` all use EdgeIds. A caller that keeps per-edge data in input order translates it first: an in-range id in the wrong coordinate is silently a different edge, and no check can catch that. - **Layout guarantees.** The out-edges of node `u` are exactly the ids - `row_offsets()[u]` to `row_offsets()[u + 1] - 1`, in `(cost, dst, input)` order, and - `edge_dst()[e]` is the head of `e`. The in-edges of node `v` are - `in_adj_edge_index()[in_row_offsets()[v]:in_row_offsets()[v + 1]]`, as EdgeIds in - `(cost, src, input)` order. Both offset arrays have `N + 1` entries, starting at 0 and ending + `outgoing_offsets()[u]` to `outgoing_offsets()[u + 1] - 1`, in `(cost, destination, input)` + order, and `edge_destinations()[e]` is the head of `e`. The in-edges of node `v` are + `incoming_edges()[incoming_offsets()[v]:incoming_offsets()[v + 1]]`, as EdgeIds in + `(cost, source, input)` order. Both offset arrays have `N + 1` entries, starting at 0 and ending at `E`, also for an empty graph. -- **Accessors.** `capacity_units()`, `cost()` (`int64[E]`), `edge_src()`, `edge_dst()`, - `input_index()`, `row_offsets()`, `in_row_offsets()` and `in_adj_edge_index()` (`int32`) are - read-only NumPy views that keep the graph alive; `max_cost()` and `cost_gcd()` are 0 for a - graph without edges; `uid()` is a process-unique number, never reused. +- **Accessors.** `edge_capacity_units()`, `edge_costs()` (`int64[E]`), `edge_sources()`, + `edge_destinations()`, `input_positions()`, `outgoing_offsets()`, `incoming_offsets()` and + `incoming_edges()` (`int32`) are read-only NumPy views that keep the graph alive; + `max_edge_cost()` and `edge_cost_gcd()` are 0 for a graph without edges; `num_nodes()`, + `num_edges()` and `resolution()` read the sizes; `uid()` is a process-unique number, never + reused. - **Ids belong to one graph.** Building a graph from different arrays, or with another release of - the library, may renumber the edges. Every value bound to a graph (Eligibility, PredDAG, - Path, ledger, cache) is rejected with another graph. + the library, may renumber the edges. Every value bound to a graph (Eligibility, PredecessorDAG, + Path, program, ledger, cache) is rejected with another graph. ```python # Input order: edge 0 = 1->2, edge 1 = 0->2 (cost 5), edge 2 = 0->1. g = ngc.Graph(3, [1, 0, 0], [2, 2, 1], [7, 8, 9], [1, 5, 1], 1.0) -print("src", g.edge_src().tolist(), "dst", g.edge_dst().tolist(), "cost", g.cost().tolist()) -print("input_index", g.input_index().tolist(), "row_offsets", g.row_offsets().tolist()) +print("sources", g.edge_sources().tolist(), "destinations", g.edge_destinations().tolist(), "costs", g.edge_costs().tolist()) +print("input_positions", g.input_positions().tolist(), "outgoing_offsets", g.outgoing_offsets().tolist()) ``` ```text -src [0, 0, 1] dst [1, 2, 2] cost [1, 5, 1] -input_index [2, 1, 0] row_offsets [0, 2, 3, 3] +sources [0, 0, 1] destinations [1, 2, 2] costs [1, 5, 1] +input_positions [2, 1, 0] outgoing_offsets [0, 2, 3, 3] ``` ### Eligibility @@ -264,12 +266,12 @@ never changes. - `Eligibility.intersect(a, b)` allows what both allow. When the result equals one operand, that operand is returned (same uid); otherwise the result is a new value with a new uid. Both operands must belong to the same graph. -- Uids matter for the [DAG cache](#9-the-dag-cache): its key contains the Eligibility uid, so +- Uids matter for the [DAG cache](#9-the-shortest-path-cache): its key contains the Eligibility uid, so build each state once and reuse the value. - An excluded endpoint takes no part in a search or a policy: an excluded root or target in a set is skipped, and an excluded single endpoint gives an empty result. -## 3. Route values: PredDAG and Path +## 3. Route values: PredecessorDAG and Path **In plain words.** A route is either a DAG of predecessor edges (the shape a search returns: possibly many equal-cost walks) or a `Path` (one explicit walk, each hop possibly a bundle of @@ -277,32 +279,34 @@ parallel edges). Both are immutable, bound to their graph and checked once when **Exact rules.** -- **`PredDAG`.** For node `v`, its entries are `parents()[k]` (the parent node) and +- **`PredecessorDAG`.** For node `v`, its entries are `parents()[k]` (the parent node) and `via_edges()[k]` (the edge from that parent) for `k` from `parent_offsets()[v]` to `parent_offsets()[v + 1] - 1`, in strictly ascending EdgeId. This is the one canonical form: two DAGs of the same graph are equal exactly when their entries are equal; DAGs of different graphs are never equal. `parents()` and `via_edges()` are read-only views; `parent_offsets()` is built on demand. -- **`PredDAG.from_csr(graph, offsets, parents, via)`** validates, before reading any structure: - `offsets` has `N + 1` entries, starts at 0, never decreases and ends at - `len(parents) == len(via)`; then every id is in range, every via edge joins its parent to its +- **`PredecessorDAG.from_csr(graph, parent_offsets, parents, via_edges)`** validates, before + reading any structure: `parent_offsets` has `N + 1` entries, starts at 0, never decreases and + ends at `len(parents) == len(via_edges)`; then every id is in range, every via edge joins its + parent to its node, no `(node, via)` pair repeats, the DAG has no cycle and every node's entries are in ascending via EdgeId. Any failure is a `ValueError`. - **`Path(graph, hops)`.** `hops` is a list of hops, each a non-empty list of EdgeIds that share one `(u, v)` pair (parallel members). Validation, in order: every member id in range, no member twice, at least one hop, no empty hop, the members of a hop share `(u, v)`, consecutive hops connect, no node is visited twice. The members keep the caller's order. `cost()` is the - sum over the hops of each hop's cheapest member; `src()`, `dst()` and `hops()` read the walk; - `to_dag()` gives the equivalent `PredDAG`. A single-member walk is `[[e1], [e2], ...]`. -- **`resolve_to_paths(graph, dag, src, dst, split_parallel_edges=False, max_paths=None)`** lists - the `src -> dst` walks of a DAG as `Path` values in increasing `(cost, hop count, edge-id + sum over the hops of each hop's cheapest member; `source()`, `destination()` and `hops()` read + the walk; + `to_dag()` gives the equivalent `PredecessorDAG`. A single-member walk is `[[e1], [e2], ...]`. +- **`resolve_to_paths(graph, dag, source, destination, split_parallel_edges=False, + max_paths=None)`** lists the `source -> destination` walks of a DAG as `Path` values in + increasing `(cost, hop count, edge-id sequence)`, where a hop costs its cheapest member and is represented in the key by its lowest member id. With `split_parallel_edges=False` the parallel members of a pair stay together in one hop (ascending); with `True` every member combination is a separate path, and the paths are sorted by each path's own `(cost, hop count, edge-id sequence)`. `max_paths` (at least 1) keeps - the first paths of that order. `src == dst`, a DAG of - another graph or `max_paths < 1` raise `ValueError`; an endpoint outside the DAG, or no walk, - gives `[]`. + the first paths of that order. `source == destination`, a DAG of another graph or + `max_paths < 1` raise `ValueError`; an endpoint outside the DAG, or no walk, gives `[]`. ## 4. Search @@ -313,48 +317,57 @@ fixed rule. `ksp` lists the K shortest simple paths in a fixed order. All search eligible edge, whatever its capacity: an edge of capacity 0 is a route like any other. Only a supplied residual filters edges by capacity. -### Options shared by the searches - -- **`PathSelection(tie_break=DETERMINISTIC, priority=CAPACITY, multipath=None, - multi_edge=True)`.** Every field has its default. - - `multipath=None` (the default) is the model's natural shape: the DAG of every equal-cost walk - for the searches and `CostOnly`, one path for T1 (T2 takes no selection). `True` is the DAG - (T1 rejects it), `False` the one canonical path. - - `multi_edge=True` keeps every eligible parallel member of a `(u, v)` pair; `False` keeps - one per pair (the member rule below). - - `tie_break`: `DETERMINISTIC` never compares priority values; ties fall to the lowest - EdgeId. `PREFER_HIGHER_PRIORITY` prefers the higher priority value first, then the lowest - EdgeId. - - `priority`: the per-edge value that `PREFER_HIGHER_PRIORITY` reads; it never chooses - weights (`CostOnly` and supplied split routes read a `WeightBasis`). T1's CSPF reads it on its - unreserved view U: `RESIDUAL` reads U, `HEADROOM` U divided by the capacity, `CAPACITY` the - capacity. The values: `RESIDUAL` (residual units), `CAPACITY` (static - capacity units) or `HEADROOM` (residual divided by capacity, compared exactly as a - fraction; 0 on an edge of capacity 0). A search without a residual array reads the static - capacity as the residual: `RESIDUAL` and `CAPACITY` read the capacity, `HEADROOM` reads 1 on - an edge of positive capacity and 0 on an edge of capacity 0. -- **The member rule** (`multi_edge=False`). Of the eligible parallel members of a pair, keep the - one with the lowest cost; among those, under `PREFER_HIGHER_PRIORITY`, the one with the - highest priority value; then the lowest EdgeId. This choice happens before any route is - searched, so it can change which walks exist. -- **Static eligibility** (always): the Eligibility. Capacity is never a condition. +### The route choice + +The searches and the models that choose routes (`ShortestPaths`, T1's CSPF) share one rule set. +Cost always comes first; the rest only orders equal-cost choices. + +- **`tie_break: RouteTieBreak`**, one of four values: `FEWER_HOPS` (the default: cost, then fewer + hops, then the smaller EdgeId sequence), `HIGHER_CAPACITY`, `HIGHER_AVAILABLE_CAPACITY` and + `HIGHER_HEADROOM` (cost, then the larger bottleneck of the named edge score, then fewer hops, + then the smaller EdgeId sequence). +- **Edge scores.** `HIGHER_CAPACITY` reads the static capacity; `HIGHER_AVAILABLE_CAPACITY` the + availability of the current search; `HIGHER_HEADROOM` the availability divided by the static + capacity, compared exactly as a fraction (an edge of capacity 0 scores 0). The availability is + the supplied `residual` for `spf` and `ksp`, the ledger's residual for `ShortestPaths`, the + unreserved view for T1's CSPF, and the static capacity where no view is supplied (then + `HIGHER_HEADROOM` reads 1 on an edge of positive capacity and 0 on an edge of capacity 0). +- **`multipath: bool`** (`ShortestPaths` and `spf` only; default `True`): `True` keeps every + equal-cost route (a DAG), `False` the one canonical path. `None` is not a value. T1 always + builds single-path tunnels; `ksp` always returns individual paths. +- **`parallel_edges: bool`** (default `True`): `True` keeps every eligible parallel member of a + `(u, v)` pair; `False` keeps one per pair by the member rule. +- **The member rule** (`parallel_edges=False`). Of the eligible parallel members of a pair, keep + the one with the lowest cost; among those, under a `HIGHER_*` rule, the one with the highest + score; then the lowest EdgeId. This choice happens before any route is searched, so it can + change which walks exist. +- **No silent no-op.** With `multipath=True` and `parallel_edges=True` a tie rule has nothing to + choose, so a `HIGHER_*` value there is rejected: `spf tie_break requires multipath=False or + parallel_edges=False` (and `ShortestPaths tie_break requires multipath=False or + parallel_edges=False` for a model). `FEWER_HOPS` is always valid and never prunes the all-routes + DAG by hop count. T1 and `ksp` always order paths and need no such rule. +- **The tie rule never supplies weights** (`ShortestPaths` `WEIGHTED` reads a `WeightBasis`) and + never enables a controller objective (T2's headroom objective is its own option). +- **Static eligibility** (always): the Eligibility. Capacity is never a condition: an edge of + capacity 0 is searched like any other. - **Residual gating** (only when a `residual` array is supplied): `residual` is an `int64` array - in EdgeId order with every entry in `[0, capacity_units[e]]`. It excludes edges whose residual - is below the threshold (`min_residual` units for `spf`, 1 unit for `ksp`) and supplies the - residual values of the priority. It is read during the call only and must not change during + in EdgeId order with every entry in `[0, edge_capacity_units[e]]`. It excludes edges whose + residual is below the threshold (`min_residual` units for `spf`, 1 unit for `ksp`) and supplies + the availability of the tie scores. It is read during the call only and must not change during it. ### Shortest paths -`spf(graph, roots, SpfOptions(direction, selection, targets=None, residual=None, -min_residual=1, elig=None))` returns an `SpfResult` with `costs`, `dag` and `target_cost`. +`spf(graph, roots, SpfOptions(direction, *, targets=None, tie_break=FEWER_HOPS, multipath=True, +parallel_edges=True, residual=None, min_residual=1, eligibility=None))` returns an `SpfResult` with `costs`, `dag` and `target_cost`. - **Roots and targets** are one node id or a sequence. Every root starts at distance 0. Duplicates are removed. Validated in this order before any work (`ValueError`): the roots (non-empty, ids in range), the targets (the same), a node in both sets, `multipath=False` - without targets, the residual (length, then every entry), `min_residual` (an integer of at - least 1), a foreign Eligibility. Excluded roots and targets are skipped; when every root is - excluded the result is empty, not an error. + without targets (`multipath = false requires targets (the single path joins a root to a + target)`), the ineffective tie rule above, the residual (length, then every entry), + `min_residual` (an integer of at least 1), a foreign Eligibility. Excluded roots and targets are + skipped; when every root is excluded the result is empty, not an error. - **Direction.** `FORWARD` searches from the roots along the edges. `REVERSE` searches toward the roots against the edges, but the DAG it returns keeps the edges' own orientation: its walks run from a target toward a root. A forward and a reverse search with the roles of roots and @@ -365,11 +378,11 @@ min_residual=1, elig=None))` returns an `SpfResult` with `costs`, `dag` and `tar - **With targets** the search stops at the cost of the nearest targets (anycast: the nearest of a set). `target_cost` is that cost (`None` when no target is reached), `dag` keeps only the walks that end in a target at that cost, and `costs` is `None`. -- **The DAG is unique.** With `multipath` `None` or `True`, costs are positive, so the member graph, the +- **The DAG is unique.** With `multipath=True`, costs are positive, so the member graph, the roots, the direction and the targets (or their absence) determine one DAG. The member graph - changes through `multi_edge`, the member rule, static eligibility and residual gating; with the - member graph fixed, the tie mode, the priority, the capacity and residual values and the C++ - queue choice do not change the DAG. A forward search with targets and a reverse search with the + changes through `parallel_edges`, the member rule, static eligibility and residual gating; with + the member graph fixed, the tie rule, the capacity and residual values and the C++ queue choice + do not change the DAG. A forward search with targets and a reverse search with the roots and the targets exchanged return the same DAG. Without targets the two directions can return different DAGs, also when the reverse search is rooted at a node the forward search reaches: each keeps the edges tight in its own direction. @@ -380,73 +393,75 @@ With `multipath=False` (targets required), `spf` returns the one walk from a roo that is first in this order: 1. the lowest **cost**; -2. under `PREFER_HIGHER_PRIORITY` only: the highest **bottleneck**, the smallest priority value - along the walk (`DETERMINISTIC` skips this step); +2. under a `HIGHER_*` tie rule only: the highest **bottleneck**, the smallest edge score along + the walk (`FEWER_HOPS` skips this step); 3. the fewest **hops**; 4. the lexicographically smallest **sequence of EdgeIds** along the walk. The order is total, so the walk is unique. The same walk is returned by a forward search, by a reverse search with the roles exchanged, and by `ksp` with `k=1`. Note the order of steps 3 and -4: a walk with fewer hops wins even when its first EdgeId is larger. The member rule above is a -separate, earlier choice: with `multi_edge=False` each pair is first reduced to one member, and -the canonical path is then chosen among the walks that remain. +4: a walk with fewer hops wins even when its first EdgeId is larger. These steps compare whole +walks, never their first edge alone. The member rule above is a separate, earlier choice: with +`parallel_edges=False` each pair is first reduced to one member, and the canonical path is then +chosen among the walks that remain. ```python F = ngc.Direction.FORWARD # Two equal-cost walks 0->1->3 (capacity 1) and 0->2->3 (capacity 5). g = graph(4, [(0, 1, 1, 1), (0, 2, 5, 1), (1, 3, 1, 1), (2, 3, 5, 1)]) -for sel in (DET, PREFER): - single = ngc.PathSelection(sel.tie_break, sel.priority, multipath=False) - r = ngc.spf(g, 0, ngc.SpfOptions(F, single, targets=3)) - print(sel.tie_break.name, r.target_cost, r.dag.via_edges().tolist()) +for tie in (ngc.RouteTieBreak.FEWER_HOPS, ngc.RouteTieBreak.HIGHER_CAPACITY): + r = ngc.spf(g, 0, ngc.SpfOptions(F, targets=3, tie_break=tie, multipath=False)) + print(tie.name, r.target_cost, r.dag.via_edges().tolist()) # Equal cost 2: the direct edge (EdgeId 1) against the two-hop walk [0, 2]. g = graph(3, [(0, 1, 1, 1), (1, 2, 1, 1), (0, 2, 1, 2)]) -single = ngc.PathSelection(ngc.EdgeTieBreak.DETERMINISTIC, ngc.EdgePriority.CAPACITY, - multipath=False) -r = ngc.spf(g, 0, ngc.SpfOptions(F, single, targets=2)) +r = ngc.spf(g, 0, ngc.SpfOptions(F, targets=2, multipath=False)) print("fewest hops:", [p.hops() for p in ngc.resolve_to_paths(g, r.dag, 0, 2)]) -full = ngc.spf(g, 0, ngc.SpfOptions(F, DET)) +full = ngc.spf(g, 0, ngc.SpfOptions(F)) print("costs", full.costs.tolist(), "dag", full.dag.via_edges().tolist()) ``` ```text -DETERMINISTIC 2 [0, 2] -PREFER_HIGHER_PRIORITY 2 [1, 3] +FEWER_HOPS 2 [0, 2] +HIGHER_CAPACITY 2 [1, 3] fewest hops: [[[1]]] costs [0, 1, 2] dag [0, 1, 2] ``` ### K shortest paths -`ksp(graph, src, dst, KspOptions(k, selection, max_path_cost=None, residual=None, elig=None))` +`ksp(graph, source, destination, KspOptions(k, *, tie_break=FEWER_HOPS, parallel_edges=True, +cost_ceiling=None, residual=None, eligibility=None))` returns a list of `(cost, Path)` pairs; every hop of every Path has one member. -- **Order.** The simple `src -> dst` paths of the member graph in increasing `(cost, - -bottleneck under PREFER_HIGHER_PRIORITY, hop count, edge-id sequence)`: the canonical order - above applied to whole paths. The result is the first `k` paths of that order that are within - the ceiling. -- **Parallel members.** `multi_edge=True` makes every eligible member a separate path; - `multi_edge=False` keeps one member per pair by the member rule. `multipath` is - ignored. -- **Ceiling.** `max_path_cost` is `None`, `Absolute(c)` (cost at most `c`, `c >= 0`; `Absolute(0)` - is a valid budget) or `Stretch(f)` (cost at most `f` times the static shortest cost of the - member graph under the Eligibility, residual ignored, edges of capacity 0 included; `f` finite - and at least 1). Both are - inclusive and compared exactly: `f` is read as the exact binary fraction a float is. With - `Stretch`, no static route gives `[]`. +- **Order.** The simple `source -> destination` paths of the member graph in increasing `(cost, + -bottleneck under a HIGHER_* rule, hop count, edge-id sequence)`: the canonical order above + applied to whole paths. The result is the first `k` paths of that order that are within the + ceiling. +- **Parallel members.** `parallel_edges=True` makes every eligible member a separate path; + `parallel_edges=False` keeps one member per pair by the member rule. `ksp` has no `multipath`. +- **Ceiling.** `cost_ceiling` is `None`, `AbsoluteCost(c)` (cost at most `c`; `AbsoluteCost(0)` is + a valid budget) or `CostStretch(f)` (cost at most `f` times the static shortest cost of the + member graph under the Eligibility, residual ignored, edges of capacity 0 included). Both are + inclusive and compared exactly ([CostStretch](#cost-ceilings-and-the-exact-stretch)). With a + stretch, no static route gives `[]`. - **Residual gating** at 1 unit when a residual is supplied. -- Validated in this order before any work (`ValueError`): `src` and `dst` in range, `src == - dst`, `k >= 1`, the ceiling, the residual (length, then every entry), a foreign Eligibility. An - excluded endpoint or no path gives `[]`. +- Validated in this order before any work (`ValueError` unless stated): `source` and + `destination` in range, `source == destination` (`node is in both endpoint sets: source and + destination must not overlap`), `k >= 1` (`k must be >= 1 (got )`), the ceiling (a value of + another type: `TypeError("cost_ceiling must be AbsoluteCost, CostStretch or None")`; then + `cost_ceiling AbsoluteCost cost must be >= 0 (got )` or `cost_ceiling CostStretch factor must + be >= 1 (got /)`), the residual (length, then every entry), a foreign Eligibility. + `KspOptions` keeps the ceiling as given; `ksp` checks it in this place. An excluded endpoint or + no path gives `[]`. ```python g = graph(3, [(0, 1, 3, 1), (0, 1, 5, 1), (1, 2, 9, 1)]) # parallel members 0 and 1 -collapse = ngc.PathSelection(ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, - ngc.EdgePriority.CAPACITY, multi_edge=False) -for sel in (DET, PREFER, collapse): - print([(c, p.hops()) for c, p in ngc.ksp(g, 0, 2, ngc.KspOptions(5, sel))]) -r = ngc.spf(g, 0, ngc.SpfOptions(F, DET, targets=2)) +higher = ngc.RouteTieBreak.HIGHER_CAPACITY +for options in (ngc.KspOptions(5), ngc.KspOptions(5, tie_break=higher), + ngc.KspOptions(5, tie_break=higher, parallel_edges=False)): + print([(c, p.hops()) for c, p in ngc.ksp(g, 0, 2, options)]) +r = ngc.spf(g, 0, ngc.SpfOptions(F, targets=2)) print([p.hops() for p in ngc.resolve_to_paths(g, r.dag, 0, 2)], [p.hops() for p in ngc.resolve_to_paths(g, r.dag, 0, 2, split_parallel_edges=True)]) ``` @@ -458,85 +473,127 @@ print([p.hops() for p in ngc.resolve_to_paths(g, r.dag, 0, 2)], [[[0, 1], [2]]] [[[0], [2]], [[1], [2]]] ``` -## 5. Placement kernels and admission +### Cost ceilings and the exact stretch + +`AbsoluteCost(cost)` is an inclusive cost bound, an integer (`AbsoluteCost cost must be an integer +(got )`, `TypeError`); a negative cost constructs and is refused where it is used. +`CostStretch(factor)` is one exact reduced fraction `n/d` with `d >= 1`, converted in this order: + +1. a boolean (Python `bool` or `numpy.bool_`) raises `TypeError`; +2. a `fractions.Fraction` is taken as it is; +3. a float (a Python `float` or any NumPy floating value) is `Fraction(str(f))`, the shortest + decimal that value's own type prints: `CostStretch(1.2)`, `CostStretch(numpy.float32(1.2))` and + `CostStretch(Fraction(6, 5))` are all exactly 6/5, never the binary value of the float. A NaN + or an infinity raises `ValueError` (`CostStretch factor must be finite (got )`); +4. an integer (an `int`, a NumPy integer, any object with `__index__`) is `n/1`; +5. anything else raises `TypeError` (`CostStretch factor must be a Fraction, a float or an integer + (got )`). + +Then the reduced components are checked: `CostStretch fraction numerator must be in [-2^63, 2^63)`, +then `CostStretch fraction denominator must be in [1, 2^63)` (`Fraction(2**64, 2**62)` reduces to +4/1 and is accepted). `factor` returns the `Fraction`; equality, `hash` and `repr` follow it. A +factor below 1 is a valid value, refused where the ceiling is used. A path of cost `c` passes +`CostStretch(n/d)` against a baseline `c0` exactly when `c * d <= n * c0`, both products computed +exactly in 128 bits. For `ksp` the baseline is the static shortest cost; for T1 it is one baseline +for the whole pool of heads ([T1](#t1-tunnels-set-up-by-their-heads)). + +```python +from fractions import Fraction +print(ngc.CostStretch(1.2).factor, ngc.CostStretch(1.2) == ngc.CostStretch(Fraction(6, 5)), + ngc.CostStretch(Fraction(2**64, 2**62))) +# Two links 0 -> 1 of cost 5 and 6: a stretch of 1.2 admits the cost-6 link at equality, 11/10 does not. +g = graph(2, [(0, 1, 1, 5), (0, 1, 1, 6)]) +for factor in (1.2, Fraction(11, 10)): + paths = ngc.ksp(g, 0, 1, ngc.KspOptions(2, cost_ceiling=ngc.CostStretch(factor))) + print(factor, [cost for cost, _ in paths]) +``` + +```text +6/5 True CostStretch(Fraction(4, 1)) +1.2 [5, 6] +11/10 [5] +``` -**In plain words.** A kernel decides how one flow spreads over its route. `MAX_FLOW` behaves like -a controller that pushes as much as the route can carry, cheapest walks first. `WEIGHTED` is a -router splitting traffic at every node by fixed weights (WCMP). `EQUAL_BALANCED` is a router -splitting equally at every node (ECMP). Admission is a separate choice: -`LOSSLESS` places only what fits end to end; `LOSSY` forwards hop by hop, as routers do, and -drops on each edge what does not fit. +## 5. Route allocations and admission + +**In plain words.** A route allocation decides how one demand spreads over its routes. `OPTIMIZED` +behaves like a controller that pushes as much as the routes can carry, cheapest walks first. +`WEIGHTED` is a router splitting traffic at every node by fixed weights (WCMP). `EQUAL` is a router +splitting equally at every node (ECMP). Admission is a separate choice: `LOSSLESS` places only +what fits end to end; `LOSSY` forwards hop by hop, as routers do, and drops on each edge what does +not fit. **Exact rules.** -- **Split graph.** A flow uses the part of its route (DAG or bundle) that reaches its destination - set through the edges its kernel may use (its member edges). Which edges: `MAX_FLOW` uses the - edges with capacity in its view (the free capacity plus the flow's own allocation); - `EQUAL_BALANCED` uses every edge of the route, an edge of capacity 0 included: a router splits - over every next hop it has, so that edge receives its round-robin share and carries none of it - (Lossless can then admit nothing on that branch; Lossy drops the share on that edge); - `WEIGHTED` uses the edges of positive weight (below) and drops a branch left without such an - edge (never taking a route outside its own). Lossy keeps its kernel's membership. -- **`MAX_FLOW`** solves the minimum-cost flow of the flow's cumulative amount on its route, over - the free capacity plus the flow's own current allocation. It may move the flow's own earlier - allocation (that is what lets it reach the maximum); it never moves another flow's. It fills - the cheapest walks of a mixed-cost bundle first. Per-edge changes between calls can be - negative. With `CostOnly` routing it solves the whole demand at once, over the union of its - sources' routes ([section 7](#routing-modes)). `MAX_FLOW` is Lossless only: a controller never - drops. A flow beyond the flow core's - size limit raises `ValueError` ([section 2](#2-the-graph), Size). +- **Split graph.** A demand uses the part of its route (a DAG or a path) that reaches its + destination set through the edges its allocation may use (its members). `OPTIMIZED` uses the + edges with capacity in its view (the free capacity plus the policy's own allocation); `EQUAL` + uses every edge of the route, an edge of capacity 0 included: a router splits over every next + hop it has, so that edge receives its round-robin share and carries none of it (Lossless can then + admit nothing on that branch; Lossy drops the share on that edge); `WEIGHTED` uses the edges of + positive weight (below) and drops a branch left without such an edge, inside the existing route + only (it never takes a longer bypass). Lossy keeps its allocation's membership. +- **`OPTIMIZED`** solves the minimum-cost flow of the demand's cumulative amount on its route, + over the free capacity plus the policy's own current allocation. It may move the policy's own + earlier allocation (that is what lets it reach the maximum); it never moves another policy's. + It fills the cheapest walks of a mixed-cost route first. Per-edge changes between calls can be + negative. With `ShortestPaths` it solves the whole demand at once, over the union of its + sources' routes ([section 7](#routing-models)). `OPTIMIZED` is Lossless only: a controller never + drops. A solve beyond the flow core's size limit raises `ValueError` ([section 2](#2-the-graph), + Size). - **`WEIGHTED`** splits at every node by highest averages over integer weights frozen when the route is prepared. The **weight basis** (`WeightBasis`) says where they come from: `CAPACITY` - (the default) the member's static capacity; `EXPLICIT` one integer per edge given as - `edge_weights`, each in `[0, 2^62)` (a positive weight on an edge of capacity 0 becomes 0); - `RESIDUAL_SNAPSHOT` the member's free capacity, read once when the route is prepared (a policy: - its view at that call's entry, the ledger's residual plus, for `evaluate` and `replace`, the - policy's own released traffic; `from_routes`: the `residual` it is given). The - selection's `priority` never chooses weights; it acts only in single-path and parallel-member - choices, so `WEIGHTED` with `HEADROOM` is allowed. Weights are never renormalised; a member - whose residual later shrinks limits the flow. -- **`EQUAL_BALANCED`** splits at every node by round robin over its members, which are frozen - when the flow is created. -- **Lossless filling** (`WEIGHTED`, `EQUAL_BALANCED`). On a fixed route and plan, a flow's delivered - amount `T` only grows: a call raises it to the smallest of `T` plus the call's - budget and `T_max`, the largest amount whose allocation fits every member edge (found by exact - binary search). At `T_max` at least one member edge is exactly full; there is no safety margin. - Because the split rules are monotone, raising `T` never takes units away from an edge. -- **Lossy forwarding** (`CostOnly` with `WEIGHTED` or `EQUAL_BALANCED`, T1, T2 and `Pinned`). Each - call's offer is split at every node by the kernel's rule; each edge carries the smaller of what - reaches it and its residual, and the rest is dropped on that edge (where several routes of one - program meet on an edge, [the loss rule](#losses-inside-one-program) divides what it carries). The delivery is - what reaches the destination set. Only CostOnly.place(+inf) uses the first-hop experiment; - Pinned and full-offer LOSSY calls require finite offers (in the experiment each first edge - receives exactly its residual). A share that has no edge to go on (a `WEIGHTED` node whose members all have weight 0) - is lost where it is: at a source it is `source_loss`. Records keep `offered`, `delivered` and - per-edge `drops`. Lossy calls are independent: nothing is re-offered and two calls are not - equivalent to one. + (the default) the member's static capacity (of the outgoing link, not of the branch behind it); + `EXPLICIT` one integer per edge in EdgeId order given as `edge_weights`, each in `[0, 2^62)`, + validated in full (a positive weight on an edge of capacity 0 becomes 0); `RESIDUAL_SNAPSHOT` the + member's free capacity, read once when the program is prepared (a policy: its view at that + call's entry, the ledger's residual plus, for `evaluate` and `replace`, the policy's own released + traffic; `from_routes` and `from_dag`: the `residual` they are given). The tie rule never + chooses weights. Weights are never renormalised; a member whose residual later shrinks limits + the demand. Equal positive weights give exactly round robin: `H(x, [w] * k) = RR(x, k)`. +- **`EQUAL`** splits at every node by round robin over its members, which are frozen when the + program is prepared. +- **Lossless filling** (`WEIGHTED`, `EQUAL`). On a fixed program, a demand's delivered amount `T` + only grows: a call raises it to the smallest of `T` plus the call's offer and `T_max`, the + largest amount whose split fits every member edge (found by exact binary search). At `T_max` at + least one member edge is exactly full; there is no safety margin. Because the split rules are + monotone, raising `T` never takes units away from an edge. +- **Lossy forwarding** (`ShortestPaths` with `WEIGHTED` or `EQUAL`, T1, T2 and `Pinned`). Each + call's offer is split at every node by the allocation's rule; each edge carries the smaller of + what reaches it and its residual, and the rest is dropped on that edge (where several routes of + one program meet on an edge, [the loss rule](#losses-inside-one-program) divides what it + carries). The delivery is what reaches the destination set. A share that has no edge to go on (a + `WEIGHTED` node whose members all have weight 0) is lost where it is: at a source it is a source + drop (`source_drops`). Records keep `offered`, `delivered` and per-edge `edge_drops`. Lossy calls + are independent: nothing is offered again and two calls are not equivalent to one. An infinite + Lossy offer is refused (`LOSSY forwarding requires a finite offer`) except for `ShortestPaths` + `place(float('inf'))`, the **first-hop experiment**: every source injects on each of its first + edges exactly that edge's free capacity, at once, and forwarding runs as usual. On a diamond with paths of capacity 10 and 2, equal-share forwarding stops at 5 units: round robin gives the odd unit to the lower EdgeId (3 and 2), and a sixth unit would put 3 units on the -2-unit path. The weighted and maximum-flow kernels carry 12: +2-unit path. The weighted and optimized allocations carry 12: ```python g = graph(4, [(0, 1, 10, 1), (1, 3, 10, 1), (0, 2, 2, 1), (2, 3, 2, 1)]) -kernels = ngc.FlowPlacement.EQUAL_BALANCED, ngc.FlowPlacement.WEIGHTED, ngc.FlowPlacement.MAX_FLOW -for kernel in kernels: +allocations = ngc.RouteAllocation.EQUAL, ngc.RouteAllocation.WEIGHTED, ngc.RouteAllocation.OPTIMIZED +for allocation in allocations: ledger = ngc.FlowLedger(g) - r = ngc.FlowPolicy(ledger, 0, 3, config(ngc.CostOnly(), placement=kernel)).place(100) - print(kernel.name, r.placed, r.remaining, r.termination.name, ledger.allocated().tolist()) + r = ngc.FlowPolicy(ledger, 0, 3, config(ngc.ShortestPaths(allocation=allocation))).place(100) + print(allocation.name, r.call_delivered, r.call_undelivered, r.termination.name, ledger.carried().tolist()) ledger = ngc.FlowLedger(g) -pol = ngc.FlowPolicy(ledger, 0, 3, config(ngc.CostOnly(), admission=ngc.Admission.LOSSY)) +pol = ngc.FlowPolicy(ledger, 0, 3, config(ngc.ShortestPaths(), admission=ngc.Admission.LOSSY)) r = pol.place(10) -print("LOSSY", r.placed, r.remaining, r.termination.name, "drops", r.call_drops) +print("LOSSY", r.call_delivered, r.call_undelivered, r.termination.name, "drops", r.call_edge_drops) rec = pol.records()[0] -print("record", rec.offered, rec.delivered, rec.drops) +print("record", rec.offered, rec.delivered, rec.edge_drops) ``` ```text -EQUAL_BALANCED 5 95 EXHAUSTED [3, 2, 3, 2] +EQUAL 5 95 EXHAUSTED [3, 2, 3, 2] WEIGHTED 12 88 EXHAUSTED [10, 2, 10, 2] -MAX_FLOW 12 88 EXHAUSTED [10, 2, 10, 2] +OPTIMIZED 12 88 EXHAUSTED [10, 2, 10, 2] LOSSY 7 3 COMPLETE drops [(1, 3)] record 10 7 [(1, 3)] ``` @@ -547,31 +604,56 @@ and what did not fit is accounted as drops, not as a shortfall ([section 7](#ter An edge of capacity 0 on the only shortest route is still that route. Equal splitting sends it the whole offer: Lossless places nothing, Lossy drops all of it there. Weighted splitting gives it weight 0 and has no other edge in its route, so nothing can be sent (`NO_ACTIVE_WEIGHT`) and -a Lossy offer is lost at the source; neither takes the costlier detour. A controller (`Global`) -uses the detour: +a Lossy offer is lost at the source; neither takes the costlier detour. A controller +(`CentralizedTE`) uses the detour: ```python # Edge 0: 0 -> 1 of capacity 0 (cost 1); the detour 0 -> 2 -> 1 (5 units, cost 2). g = graph(3, [(0, 1, 0, 1), (0, 2, 5, 1), (2, 1, 5, 1)]) -r = ngc.spf(g, 0, ngc.SpfOptions(F, DET, targets=1)) +r = ngc.spf(g, 0, ngc.SpfOptions(F, targets=1)) print("spf", r.target_cost, r.dag.via_edges().tolist()) -for kernel in (ngc.FlowPlacement.EQUAL_BALANCED, ngc.FlowPlacement.WEIGHTED): +for allocation in (ngc.RouteAllocation.EQUAL, ngc.RouteAllocation.WEIGHTED): for admission in (ngc.Admission.LOSSLESS, ngc.Admission.LOSSY): - cfg = config(ngc.CostOnly(), placement=kernel, admission=admission) + cfg = config(ngc.ShortestPaths(allocation=allocation), admission=admission) r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg).place(5) - print(kernel.name, admission.name, r.placed, r.call_drops, r.call_source_loss, + print(allocation.name, admission.name, r.call_delivered, r.call_edge_drops, r.call_source_drops, r.termination.name) -cfg = ngc.FlowPolicyConfig(routing=ngc.Global()) -print("Global", ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg).place(5).placed) +cfg = ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.OPTIMIZED)) +print("CentralizedTE", ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg).place(5).call_delivered) ``` ```text spf 1 [0] -EQUAL_BALANCED LOSSLESS 0 [] 0 EXHAUSTED -EQUAL_BALANCED LOSSY 0 [(0, 5)] 0 COMPLETE +EQUAL LOSSLESS 0 [] 0 EXHAUSTED +EQUAL LOSSY 0 [(0, 5)] 0 COMPLETE WEIGHTED LOSSLESS 0 [] 0 NO_ACTIVE_WEIGHT WEIGHTED LOSSY 0 [] 5 NO_ACTIVE_WEIGHT -Global 5 +CentralizedTE 5 +``` + +Weights: two parallel links of 10 and an offer of 12. Capacity weights split it 6 and 6, explicit +weights 1 and 2 give 4 and 8. With only 2 units free on the first link (a service baseline of 2 +and 10), equal splitting admits 4, while weights snapshot from the free capacity (2 and 10) admit +all 12: + +```python +g = graph(2, [(0, 1, 10, 1), (0, 1, 10, 1)]) +W = ngc.RouteAllocation.WEIGHTED +for model in (ngc.ShortestPaths(allocation=W), + ngc.ShortestPaths(allocation=W, weight_basis=ngc.WeightBasis.EXPLICIT, edge_weights=[1, 2])): + ledger = ngc.FlowLedger(g) + pol = ngc.FlowPolicy(ledger, 0, 1, config(model)) + print(pol.config.routing.weight_basis.name, pol.place(12).call_delivered, ledger.carried().tolist()) +snapshot = ngc.ShortestPaths(allocation=W, weight_basis=ngc.WeightBasis.RESIDUAL_SNAPSHOT) +for model in (ngc.ShortestPaths(), snapshot): + print(model.allocation.name, ngc.FlowPolicy(ngc.FlowLedger(g, [2, 10]), 0, 1, config(model)).place(12).call_delivered) +``` + +```text +CAPACITY 12 [6, 6] +EXPLICIT 12 [4, 8] +EQUAL 4 +WEIGHTED 12 ``` ## 6. The ledger @@ -588,40 +670,46 @@ records. **Exact rules.** -- **`FlowLedger(graph, residual=None, *, unreserved=None)`.** `residual` is the service baseline - B and `unreserved` the reservation baseline R0, each an integer array in EdgeId order with - every entry in `[0, capacity_units[e]]` (a physical baseline goes through `to_units` first; - anything above the capacity is rejected); `None` means the capacities. `residual` is checked - first, then `unreserved` with the same messages naming it (`unreserved has length , expected - (one entry per edge)`, then `unreserved[] = is outside [0, capacity_units[] = - ]`). The baselines never change except through `reset`. -- **Snapshots.** `allocated()` L is the exact sum of every record's `edges` and `residual()` is - `B - L`; `reserved()` S is the exact sum of every record's `reserved_edges` and `unreserved()` - is `R0 - S`; all four are `int64[E]` copies. Each projection keeps its own bound on every edge - (`0 <= L <= B`, `0 <= S <= R0`); L and S are never added, and `max(L, S)` is no occupancy. T1's - setup reads `unreserved` (other owners' holds included); every forwarding, every `Global` solve - and T2's layout read `residual` (a T2 plan books no hold). `capacity_units()` is the graph's view. `graph()` returns the graph. +- **`FlowLedger(graph, service_baseline=None, *, reservation_baseline=None)`.** The service + baseline B and the reservation baseline R0 are each an integer array in EdgeId order with every + entry in `[0, edge_capacity_units[e]]` (a physical baseline goes through `to_units` first; + anything above the capacity is rejected); `None` means the capacities. `service_baseline` is + checked first, then `reservation_baseline`, with the same messages naming each + (`service_baseline has length , expected (one entry per edge)`, then + `service_baseline[] = is outside [0, edge_capacity_units[] = ]`). The baselines + never change except through `reset`. A ledger that should model load from outside the library + starts from reduced baselines. +- **Snapshots.** `carried()` L is the exact sum of every record's `edge_flows` and `residual()` is + `B - L`; `reserved()` S is the exact sum of every record's `edge_reservations` and + `unreserved()` is `R0 - S`; all four are `int64[E]` copies. Each projection keeps its own bound + on every edge (`0 <= L <= B`, `0 <= S <= R0`); L and S are never added, and `max(L, S)` is no + occupancy. T1's setup reads `unreserved` (other owners' holds included); every forwarding, every + `CentralizedTE` solve and T2's layout read `residual` (a T2 plan books no hold). Traffic without + a hold can use bandwidth that T1 holds: there is no priority queueing, preemption or policing. + `edge_capacity_units()` is the graph's view and `graph()` returns the graph. - **Records.** `records()` lists the live records (of bound policies and orphans) as snapshots in FlowId order; `record(flow_id)` reads one. A FlowId is the pair `(ledger uid, id)`; ids are never reused. A FlowId of another ledger, or a retired or unknown id, raises `ValueError`. -- **`FlowRecord`** fields: `flow_id`; `owner` (the policy's id); `sources` and `destinations` - (node sets); `admission`; `entry` (a T1, T2 or `Pinned` record: the identifier of the program entry - it carries; `None` for the records kept per roster source); `bundle` (the flow's route as a - `PredDAG`); - `route_cost` (the cheapest walk of the bundle, cached; `None` for an empty bundle); `offered` - (Lossy records only, else `None`); `delivered`; `edges` (`[(EdgeId, units)]`, ascending, the - carried traffic), `drops` (`[(EdgeId, units)]`, cumulative, ascending) and `reserved_edges` - (`[(EdgeId, units)]`, ascending: an up T1 tunnel's request on every edge of its path; `[]` for - every other record). -- **`bottleneck(sources, elig=None)`** is a saturation report of the carried traffic (holds play - no part): the edges (eligible, at least 1 unit of capacity) that leave the set of nodes - reachable from the allowed sources over edges with at least 1 unit of residual, in ascending - EdgeId. It follows edges forward only. It ignores the destinations, so it is not a +- **`FlowRecord`** fields: `flow_id`; `policy_id` (the ledger-local creation-order identifier of + the policy, kept after it becomes an orphan); `sources` and `destinations` (node sets); + `admission`; `entry_id` (a T1, T2 or `Pinned` record: the identifier of the program entry it + carries; `None` for the records kept per roster source); `route` (the record's route as a + `PredecessorDAG`); `min_route_cost` (the cheapest walk of the route, cached; `None` for an empty + route); `offered` (Lossy records only, else `None`); `delivered`; `edge_flows` + (`[(EdgeId, units)]`, ascending, the carried traffic), `edge_drops` (`[(EdgeId, units)]`, + cumulative, ascending) and `edge_reservations` (`[(EdgeId, units)]`, ascending: an up T1 + tunnel's request on every edge of its path; `[]` for every other record). A record has no + allocation field: the policy's configuration says how its traffic was computed and the program + how it is forwarded. +- **`saturated_boundary_edges(sources, eligibility=None)`** is a saturation report of the carried + traffic (holds play no part): the edges (eligible, at least 1 unit of capacity) that leave the + set of nodes reachable from the allowed sources over edges with at least 1 unit of residual, in + ascending EdgeId. It follows edges forward only. It ignores the destinations, so it is not a source-destination cut, and it can be empty while a route exists. - **Lifetimes.** The graph outlives the ledger and the ledger outlives its policies (Python keeps them alive for you). -| Ledger state | Reached by | `reset(residual=None, *, unreserved=None)` | `copy()` | +| Ledger state | Reached by | `reset(service_baseline=None, *, reservation_baseline=None)` | `copy()` | | --- | --- | --- | --- | | a policy is bound | building a policy on it | `ValueError` | `ValueError` | | no policy bound | no policy built yet, or every policy destroyed | allowed: orphaned records with their allocations and holds are cleared, their ids retired, the new baselines set (`None`: the capacities) | a new ledger with a new uid and the same baselines, records, holds and ids | @@ -635,11 +723,11 @@ carries 4; a second demand on the same ledger places the residual 6, whatever is ```python g = graph(2, [(0, 1, 10, 1)]) ledger = ngc.FlowLedger(g) -t1 = ngc.FlowPolicy(ledger, 0, 1, ngc.FlowPolicyConfig(routing=ngc.CapacityAware(ngc.Tunnels(1)))) +t1 = ngc.FlowPolicy(ledger, 0, 1, ngc.FlowPolicyConfig(routing=ngc.DistributedTE(ngc.TunnelCount(1)))) t1.replace(4, design_demand=6) -print(ledger.allocated().tolist(), ledger.residual().tolist(), +print(ledger.carried().tolist(), ledger.residual().tolist(), ledger.reserved().tolist(), ledger.unreserved().tolist()) -print(ngc.FlowPolicy(ledger, 0, 1, config(ngc.CostOnly())).place(10).placed) +print(ngc.FlowPolicy(ledger, 0, 1, config(ngc.ShortestPaths())).place(10).call_delivered) ``` ```text @@ -650,100 +738,121 @@ print(ngc.FlowPolicy(ledger, 0, 1, config(ngc.CostOnly())).place(10).placed) ## 7. Policies **In plain words.** A `FlowPolicy` is the routing model of one demand between a set of sources -and a set of destinations. `place(volume)` asks it to carry more; it routes and fills its flows, -commits everything at once, and reports how much was placed, what stopped it, where traffic was -lost and how much each source carried (T1 and T2, whose tunnels are sized for a design volume, -take whole offers only). `evaluate`, `replace` and `forward` ask -for a whole new offer instead (only computed, published, or forwarded over the routes already -installed). `remove()` takes all of its traffic back out. A demand with several sources is one demand, not several: how its traffic enters at -the sources is its **origin**, and where the routes of its sources meet, their traffic is added -and split once. +and a set of destinations. `place(offer)` asks it to carry more; it routes and fills its flows, +commits everything at once, and reports how much was delivered, what stopped it, where traffic +was lost and how much each source carried (T1 and T2, whose tunnels are sized for a design +volume, take whole offers only). `evaluate`, `replace` and `forward` ask for a whole new offer +instead (only computed, published, or forwarded over the routes already installed). `remove()` +takes all of its traffic back out. A demand with several sources is one demand, not several: how +its traffic enters at the sources is its **source allocation**, and where the routes of its +sources meet, their traffic is added and split once. ### Configuration -`FlowPolicyConfig(*, routing, placement=None, admission=Admission.LOSSLESS, selection=None, -origin=None, weights=None, edge_weights=None)` takes keywords only. The routing is one of: - -| Routing | Models | Fields (defaults) | + FlowPolicyConfig(*, routing, admission=Admission.LOSSLESS) + ShortestPaths(*, allocation=RouteAllocation.EQUAL, source_allocation=None, weight_basis=None, + edge_weights=None, tie_break=RouteTieBreak.FEWER_HOPS, multipath=True, + parallel_edges=True) + DistributedTE(tunnel_count, *, cost_ceiling=None, min_unreserved_bandwidth=0, + tie_break=RouteTieBreak.FEWER_HOPS, parallel_edges=True) # T1 + CentralizedTE(*, source_allocation, support=None, tunnel_count=None, + prefer_headroom=False) # T2 with tunnel_count + Pinned(program, *, black_holes=None) + TunnelCount(per_head, *, up_to=False) + +`FlowPolicyConfig` holds only the routing model and the admission; every other option belongs to +the model that reads it. Every value takes keywords only after its required arguments, and every +field is read-only (a model is an immutable value; its arrays are shared by reference, so policies +built from one model read one `edge_weights` array). + +| Routing | Models | Fields | | --- | --- | --- | -| `CostOnly()` | IGP forwarding (as OSPF or IS-IS routers do): static shortest paths, never refreshed; with `MAX_FLOW`, a controller restricted to those paths | none | -| `CapacityAware(tunnels, *, max_path_cost=None, min_unreserved_bandwidth=0)` (T1) | distributed strict-bandwidth tunnels, as RSVP-TE head ends set them up: every head runs CSPF for its own tunnels, no controller ([T1](#t1-tunnels-set-up-by-their-heads)) | `tunnels`: a `Tunnels(count)` (`count` tunnels per head); `max_path_cost`: `None`, `Absolute(c)` or `Stretch(f)`; `min_unreserved_bandwidth`: a search minimum in units | -| `Global(*, support=None, tunnels=None, prefer_headroom=False)` | an ideal controller that sees the whole network, or only the edges of `support`; with `tunnels`, T2: the controller lays out equal tunnels for every head ([T2](#t2-the-controllers-equal-tunnels)) | `support`: a `PredDAG` of the graph, or `None` for every eligible edge; `tunnels`: a `Tunnels(count)` or `Tunnels(L, up_to=True)` (T2), or `None`; `prefer_headroom`: T2's headroom objective after route cost (T2 only) | -| `Pinned(program, *, black_holes=None)` | forwarding over a given program, computing nothing | `program`: a `ForwardingProgram`; `black_holes`: an `Eligibility` whose excluded nodes and edges are black holes, or `None` | - -Each routing accepts exactly the combinations of this table; any other raises `ValueError` before -any work, a request of 0 included. A field marked "none" must be left `None`: - -| Routing | `placement` | `origin` default / allowed | `admission` | `selection` | `weights` | +| `ShortestPaths()` | IGP forwarding (as OSPF or IS-IS routers do): static shortest paths, never refreshed. `ShortestPaths()` is ECMP; `allocation=WEIGHTED` is WCMP; `allocation=OPTIMIZED` is a controller restricted to those paths | `allocation`, `source_allocation`, `weight_basis`, `edge_weights` and the route choice (`tie_break`, `multipath`, `parallel_edges`) | +| `DistributedTE(TunnelCount(N))` (T1) | distributed strict-bandwidth tunnels, as RSVP-TE head ends set them up: every head runs CSPF for its own tunnels, no controller ([T1](#t1-tunnels-set-up-by-their-heads)) | `tunnel_count`; `cost_ceiling`: `None`, `AbsoluteCost(c)` or `CostStretch(f)`; `min_unreserved_bandwidth`: a search minimum in units; `tie_break`, `parallel_edges` | +| `CentralizedTE(source_allocation=...)` | an ideal controller that sees the whole network, or only the edges of `support`; with `tunnel_count`, T2: the controller lays out equal tunnels for every head ([T2](#t2-the-controllers-equal-tunnels)) | `source_allocation` (required); `support`: a `PredecessorDAG` of the graph, or `None` for every eligible edge; `tunnel_count`: a `TunnelCount(N)` or `TunnelCount(L, up_to=True)`, or `None`; `prefer_headroom`: T2's headroom objective after route cost | +| `Pinned(program)` | forwarding over a given program, computing nothing | `program`: a `ForwardingProgram`; `black_holes`: an `Eligibility` whose excluded nodes and edges are black holes, or `None` | + +**Two stages of validation.** A constructor converts its arguments: an unknown keyword (also every +field that belongs to another model, such as `allocation` on `FlowPolicyConfig` or +`source_allocation` on `DistributedTE`), a missing required argument (`routing`, `tunnel_count`, +`CentralizedTE`'s `source_allocation`, `program`), `None` where none is allowed, and a value of the +wrong type raise `TypeError` before any policy exists. A bool field (and a bool search option) +takes only a `bool` or a `numpy.bool_`, known by its type (`multipath=None`, `multipath=1` and an +object with `__bool__` are `TypeError`). An integer field of a configuration value (`TunnelCount` +`per_head`, `AbsoluteCost` `cost`, `min_unreserved_bandwidth`, a `RouteDefinition`'s `head` and +`weight`) given a value of another type raises `TypeError` (`TunnelCount per_head must be an +integer (got bool)`), and so does an `edge_weights` that is not a 1-D sequence of integers (a +scalar, a string, a 2-D array, a bool or float array, a bool or float entry: +`edge_weights[0] must be an integer (got bool)`); an integer outside 64 bits raises +`ValueError` (`TunnelCount per_head = is out of range [...]`), and an `edge_weights` entry +beyond 64 bits `ValueError('edge_weights[] must be an integer in [0, 2^62)')`. Every other +check of a well-typed configuration raises `ValueError` when a policy or an evaluator uses it, in +the order below, before any work, a zero offer included. + +**The model matrix.** The options belong to each row's model; any other well-typed combination +raises `ValueError`: + +| Model | route allocation | source allocation: default / allowed | `admission` | route choice | weights | | --- | --- | --- | --- | --- | --- | -| `CostOnly` | `EQUAL_BALANCED` (ECMP) | `EQUAL` / `EQUAL` | `LOSSLESS`, `LOSSY` | all four fields | none | -| `CostOnly` | `WEIGHTED` (WCMP) | `EQUAL` / `EQUAL` | `LOSSLESS`, `LOSSY` | all four fields | `CAPACITY` (default), `EXPLICIT`, `RESIDUAL_SNAPSHOT` | -| `CostOnly` | `MAX_FLOW` | `OPTIMIZED` / both | `LOSSLESS` | all four fields | none | -| `Global` | none | `OPTIMIZED` / both | `LOSSLESS` | none | none | -| `CapacityAware` (T1) | none | `EQUAL` / `EQUAL` | `LOSSLESS`, `LOSSY` | `tie_break`, `priority`, `multi_edge` (`multipath=True` rejected) | none | -| `Global(tunnels=...)` (T2) | none | `EQUAL` / `EQUAL`; `OPTIMIZED` with one source | `LOSSLESS`, `LOSSY` | none (`prefer_headroom` on the routing) | none | -| `Pinned` | none | none (the program has its injection) | `LOSSLESS`, `LOSSY` | none | none | - -`selection=None` means `PathSelection()` (`DETERMINISTIC`, `CAPACITY`, `multipath=None`, -`multi_edge=True`) for the routings that read it, `origin=None` the routing's default and -`weights=None` `CAPACITY` for `CostOnly` `WEIGHTED`. A policy's `config()` returns the -configuration with these filled in (`selection` stays `None` for `Global`, T2 included, and -`Pinned`, `origin` for `Pinned`). Further rules: - -- `Global`, with or without tunnels, takes no selection: any `selection`, even `PathSelection()`, - raises `Global does not accept selection`, before every other check of its row. - `prefer_headroom=True` without `tunnels` raises `prefer_headroom requires tunnels`, right after - `Global support and tunnels are mutually exclusive`. A selection's `priority` (`HEADROOM` - included) is a search and T1 comparison and never enables a controller objective. - -- `edge_weights` (one integer per edge in EdgeId order, each in `[0, 2^62)`) is given exactly when - `weights=EXPLICIT`: `weights=EXPLICIT requires edge_weights`, `edge_weights require - weights=EXPLICIT`, `edge_weights: expected entries`, `edge_weights[] must be an integer in - [0, 2^62)`. The configuration keeps the array by reference: every policy built from it reads the - same one. -- T1's row: an "up to" count is not T1 (`Tunnels(count, up_to=True)`: `T1 requires an exact - tunnel count`, checked first); `T1 does not accept placement`; `T1 requires origin=EQUAL`; - `T1 requires multipath=False` for `multipath=True`; `T1 does not accept weights` (and - `edge_weights`). Its own fields: the tunnel count in `[1, 10000]` (`tunnel count must be in [1, - 10000]`; `Tunnels(count)` itself takes any 64-bit integer); `max_path_cost` is `None`, - `Absolute(c)` with `c >= 0` or `Stretch(f)` with `f` finite and at least 1 (as for `ksp`); - `min_unreserved_bandwidth` in `[0, 2^62)` units (`min_unreserved_bandwidth must be an integer in - [0, 2^62)`). -- T2's row ([T2](#t2-the-controllers-equal-tunnels)): after the `Global` checks above (which - decide the row), `T2 does not accept placement`; `T2 with several sources requires - origin=EQUAL` (OPTIMIZED with more than one input source, counted before any Eligibility, with - the roster rules below); `T2 does not accept weights`; the tunnel count in `[1, 10000]`, the - largest count for "up to". -- **The tunnel limit** (T1, T2). The roster's heads times the tunnel count (T2 "up to": the - largest count) is at most 2^30 - 1: - `tunnel limit exceeded: heads x tunnels > 1073741823` (no tunnel is made at - construction). -- Only `CostOnly` reads a `DagCache`; any other routing given one is rejected. -- `Pinned`: the program's sources and destinations must be the policy's (`program endpoints do not - match policy endpoints`); any number of each. -- **The pooled single-path rule.** `CostOnly` with more than one source (counted after removing - repeats, before any Eligibility) rejects `multipath=False` together with - `PREFER_HIGHER_PRIORITY`: the bottleneck choice could then differ per source at a router the - sources share. - -`FlowPolicy(ledger, sources, destinations, config, elig=None, cache=None)` binds the policy to -its ledger. `sources` and `destinations` are one node id or a sequence; the two sets must not -overlap. Construction validates everything before the policy binds (a field that a routing does -not have is a `TypeError`; every other defect a `ValueError`), and when several defects meet, the -first in this order is reported: the endpoint sets (empty, out of range, the lowest node in both); -the graph of each object the policy is given: the `Eligibility`, the program (`program belongs to -another graph`), the support (`support belongs to another graph`), the `DagCache`, the black holes -(`black_holes belongs to another graph`); enum values outside their enumeration; the table above, -its row (routing, then placement) and then its columns left to right (placement, origin, -admission, selection, weights; `Global`'s support and tunnels together first, T1's "up to" first); -the cache rule; the tunnel models' own fields (the tunnel count; T1's `max_path_cost`, -`min_unreserved_bandwidth`); `edge_weights`; the pooled single-path rule; T2's several-sources rule; -the tunnel limit; `Pinned`'s endpoints. - -### The origin - -The origin says how a demand's total enters at its roster sources, separately from how it is -routed: +| `ShortestPaths()` | `EQUAL` (ECMP, the default) | `EQUAL` / `EQUAL` | `LOSSLESS`, `LOSSY` | `tie_break`, `multipath`, `parallel_edges` | none | +| `ShortestPaths(allocation=WEIGHTED)` | `WEIGHTED` (WCMP) | `EQUAL` / `EQUAL` | `LOSSLESS`, `LOSSY` | the same | `weight_basis`: `CAPACITY` (default), `EXPLICIT`, `RESIDUAL_SNAPSHOT` | +| `ShortestPaths(allocation=OPTIMIZED)` | `OPTIMIZED` | `OPTIMIZED` / both | `LOSSLESS` | the same | none | +| `CentralizedTE(source_allocation=...)`, optionally `support` | optimal | required / both | `LOSSLESS` | none | none | +| T1: `DistributedTE(TunnelCount(N))` | tunnels | `EQUAL`, fixed | `LOSSLESS`, `LOSSY` | `tie_break`, `parallel_edges` | none | +| T2: `CentralizedTE(source_allocation=..., tunnel_count=...)`, optionally `support` | tunnels | required; `EQUAL`; `OPTIMIZED` only with one source | `LOSSLESS`, `LOSSY` | none (`prefer_headroom`) | none | +| `Pinned(program)` | the program's | the program's | `LOSSLESS`, `LOSSY` | none | none | + +`ShortestPaths`' `source_allocation=None` resolves to the allocation's default and its +`weight_basis=None` to `CAPACITY` for `WEIGHTED`; a policy's `config` is the configuration it was +built with, these two fields resolved (the model value itself never changes). The texts of the +matrix, in the order they are checked: + +1. the enumeration values (`admission`, then the model's `allocation`, `source_allocation`, + `weight_basis`, `tie_break`), each `: is not a value of ` (reachable with a + value built from an integer); +2. the route allocation and the source allocation: `ShortestPaths with EQUAL or WEIGHTED requires + source_allocation=EQUAL`; for T2, `CentralizedTE with tunnel_count and several sources requires + source_allocation=EQUAL` (`OPTIMIZED` with more than one input source, counted after removing + repeats and before any Eligibility; with one source it is the same calculation as `EQUAL`); +3. the admission: `ShortestPaths OPTIMIZED requires admission=LOSSLESS`; `CentralizedTE without + tunnel_count requires admission=LOSSLESS`; +4. the route choice: `ShortestPaths tie_break requires multipath=False or parallel_edges=False` (a + `HIGHER_*` rule with every route and every parallel edge kept, also for `OPTIMIZED`, whose route + the rule selects); then the **pooled single-path rule**: `ShortestPaths with multiple input + sources requires tie_break=FEWER_HOPS when multipath=False` (more than one input source, counted + after removing repeats and before any Eligibility: a bottleneck choice could differ per source + at a router the sources share); +5. `prefer_headroom requires tunnel_count`; +6. the weights: `weight_basis requires allocation=WEIGHTED`; `weight_basis=EXPLICIT requires + edge_weights`; `edge_weights require weight_basis=EXPLICIT`; +7. last, a cache given to a model that does not read one: ` does not use ShortestPathCache` (only `ShortestPaths` reads a `ShortestPathCache`). + +Then each model's own fields: the tunnel count in `[1, 10000]` (`tunnel count must be in [1, +10000]`; `TunnelCount(per_head)` itself takes any 64-bit integer); for T1 an "up to" count +(`DistributedTE requires an exact tunnel count`), then the ceiling (`cost_ceiling AbsoluteCost +cost must be >= 0 (got )`, `cost_ceiling CostStretch factor must be >= 1 (got /)`), then +`min_unreserved_bandwidth must be an integer in [0, 2^62)`; `edge_weights`' length and entries +(`edge_weights: expected entries`, `edge_weights[] must be an integer in [0, 2^62)`). + +`FlowPolicy(ledger, sources, destinations, config, eligibility=None, cache=None)` binds the policy +to its ledger. `sources` and `destinations` are one node id or a sequence; the two sets must not +overlap. Construction validates everything before the policy binds, and when several defects +meet, the first in this order is reported: the endpoint sets (empty, out of range, the lowest node +in both); the graph of each object the policy is given: the `Eligibility` (`foreign Eligibility: +built for another graph`), the program (`program belongs to another graph`), the support +(`support belongs to another graph`, with or without a tunnel count, an empty support included), +the `ShortestPathCache` (`foreign ShortestPathCache: bound to another graph`), the black holes +(`black_holes belongs to another graph`); the matrix and the models' fields above; the tunnel limit +(T1, T2: the roster's heads times the tunnel count, for "up to" the largest count, is at most +2^30 - 1: `tunnel limit exceeded: heads x tunnels > 1073741823`; no tunnel is made at +construction); `Pinned`'s endpoints (`program endpoints do not match policy endpoints`; any number +of each). + +### The source allocation + +The source allocation says how a demand's total enters at its roster sources, separately from how +it is routed: - **`EQUAL`**: a total `x` enters as the round robin `RR(x, k, i) = x // k + (1 if i < x % k else 0)` at roster member `i` (`k` members, ascending node id): the first members get one extra @@ -754,92 +863,102 @@ routed: virtual source joined to every roster source), whatever maximises the delivery and then minimises its cost. -There is no weighted origin; sources with fixed or uneven amounts are separate demands. +There is no weighted source allocation; sources with fixed or uneven amounts are separate demands. +`DistributedTE` always allocates equally and `Pinned` takes its program's injection; neither +accepts the keyword. ### The source roster -The roster is fixed when the policy is built. For `CostOnly`, T1, T2 and `Global` it is -the allowed sources that have a static walk to an allowed destination over allowed edges, whatever -their capacity, in ascending node id: a source whose only routes cross an edge of capacity 0 is in -the roster, receives its share and cannot place it (a failure is expressed with an Eligibility, -which removes the source); `Global` with a support counts only walks inside the support. For -`Pinned` it is the program's heads that still reach a destination under the policy's Eligibility -([replay](#replay-under-a-failure)). The roster decides which sources receive shares; for the +The roster is fixed when the policy is built. For `ShortestPaths`, T1, T2 and `CentralizedTE` it +is the allowed sources that have a static walk to an allowed destination over allowed edges, +whatever their capacity, in ascending node id: a source whose only routes cross an edge of +capacity 0 is in the roster, receives its share and cannot place it (a failure is expressed with +an Eligibility, which removes the source); `CentralizedTE` with a support counts only walks inside +the support. For `Pinned` it is the program's heads that still reach a destination under the +policy's Eligibility ([replay](#replay-under-a-failure)). The roster decides which sources receive shares; for the computing models it also decides which records exist (T1 and T2: its heads' entries), while `Pinned` keeps one record per configured program entry even when no head survives the replay (such a record stays at zero). `by_source` -reports every input source, a source outside the roster with a zero row. A positive request with +reports every input source, a source outside the roster with a zero row. A positive offer with an empty roster ends `NO_ROUTE`: a computing model creates nothing, and `Pinned` creates or keeps its per-entry records at zero. -### Routing modes +### Routing models -- **`CostOnly` with `EQUAL_BALANCED` or `WEIGHTED`** forwards like IGP routers. At the epoch's +- **`ShortestPaths` with `EQUAL` or `WEIGHTED`** forwards like IGP routers. At the epoch's first positive call it prepares a **program**, the routes and splits used for the whole epoch: each roster source's route is its static shortest-path DAG toward the destination set (with - `multipath=False`, its canonical path), read from the [DAG cache](#9-the-dag-cache), with the - selection applied on the ledger's residual at that call's entry (priorities read from that - residual for `RESIDUAL` and `HEADROOM`, from the static capacities for `CAPACITY`); `WEIGHTED` - freezes its weights from its weight basis there ([section 5](#5-placement-kernels-and-admission)). The program is the union of these routes: at a router several - sources pass, their traffic for the demand is added (with the router's own injection when it - is a source) and split once over its members, by round robin (`EQUAL_BALANCED`) or by highest - averages over the weights (`WEIGHTED`). Every source that passes a router has the same - continuation there, so the union lends no source a link outside its own route. The program is - never refreshed or recomputed within the epoch. It is the policy's `program`: one split - context pooled over the roster, one split route per roster source (entry index = roster - position, weight 1), equal sources; it lists no tunnel. -- **`CostOnly` with `MAX_FLOW`** is a controller restricted to shortest paths: it solves like - `Global` (below), but only over the union of the roster sources' routes prepared as above, - edges of capacity 0 included (so a zero-capacity shortest route is never bypassed). -- **`CapacityAware` (T1)** sets up its tunnels for a design volume on every `replace` and + `multipath=False`, its canonical path), read from the [shortest-path cache](#9-the-shortest-path-cache), + with the route choice applied on the ledger's residual at that call's entry (the + `HIGHER_AVAILABLE_CAPACITY` and `HIGHER_HEADROOM` scores read that residual); `WEIGHTED` freezes + its weights from its weight basis there ([section 5](#5-route-allocations-and-admission)). The + program is built by the one pooled DAG builder that + [`ForwardingProgram.from_dag`](#supplied-dags-from_dag) uses, from the union of these selected + routes: at a router several sources pass, their traffic for the demand is added (with the + router's own injection when it is a source) and split once over its members, by round robin + (`EQUAL`) or by highest averages over the weights (`WEIGHTED`). Every source that passes a + router has the same continuation there, so the union lends no source a link outside its own + route. A roster of one source with `multipath=True` and a static weight basis (not + `RESIDUAL_SNAPSHOT`) takes a one-pass preparation instead, which selects the route and builds its + split in the same pass; its plan is the one the pooled builder makes of that route, so the + program is the same. The program is never refreshed or recomputed within the epoch. It is the policy's + `program`: one split context pooled over the roster, one split route per roster source (entry + identifier = roster position, weight 1), equal sources; it lists no tunnel. +- **`ShortestPaths` with `OPTIMIZED`** is a controller restricted to shortest paths: it solves like + `CentralizedTE` (below), but only over the union of the roster sources' routes prepared as + above, edges of capacity 0 included (so a zero-capacity shortest route is never bypassed). +- **`DistributedTE` (T1)** sets up its tunnels for a design volume on every `replace` and `evaluate` and forwards them as its program; it has no incremental `place` ([T1](#t1-tunnels-set-up-by-their-heads)). -- **`Global(tunnels=...)` (T2)** lays out its tunnels for a design volume on every `replace` and - `evaluate` and forwards them as its program; it has no incremental `place` - ([T2](#t2-the-controllers-equal-tunnels)). The controller rules below are `Global`'s without - tunnels. -- **`Global`** re-solves, on every positive call, the minimum-cost flow of the amount the - policy already delivers plus this call's request (`placed_demand()` plus the request; what an - earlier call could not place is not requested again) from its roster to its whole - destination set over every eligible edge, on the free capacity plus its own allocation (it may - move its own traffic, never another owner's): the largest delivery up to that amount, and among - those the cheapest. Hence `place(a)` followed by `place(b)` ends in the same allocation as - `place(a + b)` on an unchanged network. With `EQUAL` origin the virtual source's arc to roster - source `i` carries exactly `RR(T, k, i)`: the delivered total `T` is the largest whose equal - shares all fit (found by exact binary search over the totals; a total fits only when the solve - reaches it), and that total is solved once more from zero, so the result does not depend on the - search. A positive call on a network beyond the flow core's size limit raises `ValueError` +- **`CentralizedTE(tunnel_count=...)` (T2)** lays out its tunnels for a design volume on every + `replace` and `evaluate` and forwards them as its program; it has no incremental `place` + ([T2](#t2-the-controllers-equal-tunnels)). The controller rules below are `CentralizedTE`'s + without a tunnel count. +- **`CentralizedTE`** re-solves, on every positive call, the minimum-cost flow of the amount the + policy already delivers plus this call's offer (`delivered()` plus the offer; what an earlier + call could not place is not offered again) from its roster to its whole destination set over + every eligible edge, on the free capacity plus its own allocation (it may move its own traffic, + never another owner's): the largest delivery up to that amount, and among those the cheapest. + Hence `place(a)` followed by `place(b)` ends in the same allocation as `place(a + b)` on an + unchanged network. With `EQUAL` source allocation the virtual source's arc to roster source `i` + carries exactly `RR(T, k, i)`: the delivered total `T` is the largest whose equal shares all fit + (found by exact binary search over the totals; a total fits only when the solve reaches it), and + that total is solved once more from zero, so the result does not depend on the search. A + positive call on a network beyond the flow core's size limit raises `ValueError` ([section 2](#2-the-graph), Size). -- **`Global(support=dag)`** is the same controller restricted to the edges of `dag`, trimmed to - the walks from the sources to the allowed destinations inside it (an edge that leads nowhere - inside the support is never used; a mask removes its edges as usual). It reports `total_cost` - but neither `cost_distribution` nor `min_cut`, and `sensitivity` solves each deletion afresh. +- **`CentralizedTE(support=dag)`** is the same controller restricted to the edges of `dag`, + trimmed to the walks from the sources to the allowed destinations inside it (an edge that leads + nowhere inside the support is never used; a mask removes its edges as usual). It reports + `total_cost` but neither `marginal_cost_curve` nor `min_cut`, and `evaluate_edge_failures` + solves each deletion afresh. - **The controllers' programs.** After every positive call a controller decomposes its solved - flow into paths, each roster source's share in a canonical order, one tunnel per path with its - solved amount as weight (indices in decomposition order), also with a single source. With the - `OPTIMIZED` origin the program keeps the solved supplies as **captured source weights** + flow into paths, each roster source's share in a canonical order (for each source in node id + order, walk the smallest positive EdgeId to the first destination, take the bottleneck or the + remaining supply, subtract, repeat), one tunnel per path with its solved amount as weight + (identifiers in decomposition order), also with a single source. With the `OPTIMIZED` source + allocation the program keeps the solved supplies as **captured source weights** (`source_weights`: every roster source, a zero supply included); with `EQUAL` it injects by round robin. Forwarded on the same view, the program reproduces the solve exactly. -- **Records of the controllers** (`Global`, `CostOnly` with `MAX_FLOW`): one record per roster - source, holding that source's share of the solved flow (its edges and its delivery), extracted - in a canonical order. A `Global` record's bundle is the set of edges that carry the share, - rebuilt on every positive call under the same FlowId; a source with no share has an empty - bundle and `route_cost` `None`. A `CostOnly` `MAX_FLOW` record's bundle is its source's - prepared route, and the share stays inside it. +- **Records of the controllers** (`CentralizedTE`, `ShortestPaths` with `OPTIMIZED`): one record + per roster source, holding that source's share of the solved flow (its edges and its delivery), + extracted in a canonical order. A `CentralizedTE` record's route is the set of edges that carry + the share, rebuilt on every positive call under the same FlowId; a source with no share has an + empty route and `min_route_cost` `None`. A `ShortestPaths` `OPTIMIZED` record's route is its + source's prepared route, and the share stays inside it. - **`Pinned`** forwards its program as given, computing nothing: injection, entries, weights and split tables are the program's, replayed under the policy's Eligibility and with its black holes ([forwarding programs](#forwarding-programs)). It keeps one record per program entry - (`entry` is the entry's identifier), created at the epoch's first positive call, a record of - weight 0 or of a `FAILED` tunnel included (that one with an empty bundle and `route_cost` - `None`). A positive request with an empty replay roster ends `NO_ROUTE`. + (`entry_id` is the entry's identifier), created at the epoch's first positive call, a record of + weight 0 or of a `FAILED` tunnel included (that one with an empty route and `min_route_cost` + `None`). A positive offer with an empty replay roster ends `NO_ROUTE`. ### Several sources and destinations -- **Destinations** (`CostOnly`): a route goes to the nearest destinations, and one flow may +- **Destinations** (`ShortestPaths`): a route goes to the nearest destinations, and one flow may deliver to several of them at that cost (a T1 tunnel is one path, to the allowed destination its CSPF reaches first). A record's `delivered` is its total; the - delivery to one destination is the sum of the record's `edges` entering it. -- **`CostOnly` split routing pools its sources.** Each record (one per roster source) holds the + delivery to one destination is the sum of the record's `edge_flows` entering it. +- **`ShortestPaths` split routing pools its sources.** Each record (one per roster source) holds the part of the program's traffic that is that source's. At every router the members' amounts are given back to the sources member by member, in member order, by highest averages over what each source still holds there; on an edge that drops traffic (Lossy), what the edge carries is @@ -847,8 +966,9 @@ per-entry records at zero. gives `x` units one at a time to the member with the largest `w[i] / (assigned[i] + 1)`, ties to the earlier member; a zero weight gets nothing. So the records sum exactly to the totals, and a source's record uses only edges of its own route. -- **The controllers** (`Global`, `CostOnly` with `MAX_FLOW`) optimise the whole roster and - destination set together; `Global` may use a costlier destination to carry more. +- **The controllers** (`CentralizedTE`, `ShortestPaths` with `OPTIMIZED`) optimise the whole + roster and destination set together; `CentralizedTE` may use a costlier destination to carry + more. - **T1 and T2 heads** share the design and the offer by round robin over the roster in ascending node id; a head's share goes only to its own tunnels, and what one head cannot carry is lost at that head, never moved to another. @@ -861,10 +981,10 @@ separately, each source would send its unit to the first member: ```python # Edges 0: 0 -> 2, 1: 1 -> 2, then the two members 2: 2 -> 3 and 3: 2 -> 3. g = graph(4, [(0, 2, 5, 1), (1, 2, 5, 1), (2, 3, 1, 1), (2, 3, 1, 1)]) -pol = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, config(ngc.CostOnly())) +pol = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, config(ngc.ShortestPaths())) r = pol.place(2) -print(r.placed, r.termination.name, [(row.source, row.delivered) for row in r.by_source]) -print([(rec.sources, rec.edges) for rec in pol.records()]) +print(r.call_delivered, r.termination.name, [(row.source, row.delivered) for row in r.by_source]) +print([(rec.sources, rec.edge_flows) for rec in pol.records()]) ``` ```text @@ -872,36 +992,38 @@ print([(rec.sources, rec.edges) for rec in pol.records()]) [([0], [(0, 1), (2, 1)]), ([1], [(1, 1), (3, 1)])] ``` -### The equal origin and a source that cannot pass anything +### Equal source allocation and a source that cannot pass anything A roster source whose every route crosses an edge with no free capacity stays in the roster: it receives its share and loses it. Lossless admits only totals that give it nothing, which is the number of roster sources before it, because the first remainder units go to the lowest node ids: -0 when it is the first source. Lossy loses its share where its program puts it: on the edge that -limits it (`drops`), or at the source when it has no member to send it on (`source_loss`). An -Eligibility that excludes the source or the edge removes it from the roster instead. +0 when it is the first source. This holds in every model. Lossy loses its share where its program +puts it: on the edge that limits it (`edge_drops`), or at the source when it has no member to send +it on (`source_drops`). An Eligibility that excludes the source or the edge removes it from the +roster instead. ```python # Source 0 reaches node 2 only over the 0-unit edge 0; source 1 over the 10-unit edge 1. g = graph(3, [(0, 2, 0, 1), (1, 2, 10, 1)]) -equal = ngc.FlowPolicyConfig(routing=ngc.Global(), origin=ngc.Origin.EQUAL) -for name, cfg in (("CostOnly", config(ngc.CostOnly())), - ("Global EQUAL", equal), - ("Global OPTIMIZED", ngc.FlowPolicyConfig(routing=ngc.Global()))): +equal = ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.EQUAL)) +optimized = ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.OPTIMIZED)) +for name, cfg in (("ShortestPaths", config(ngc.ShortestPaths())), + ("CentralizedTE EQUAL", equal), + ("CentralizedTE OPTIMIZED", optimized)): r = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, cfg).place(10) - print(name, r.placed, r.termination.name) -lossy = config(ngc.CostOnly(), admission=ngc.Admission.LOSSY) + print(name, r.call_delivered, r.termination.name) +lossy = config(ngc.ShortestPaths(), admission=ngc.Admission.LOSSY) r = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, lossy).place(10) -print("LOSSY", r.placed, r.call_drops, [(row.source, row.dropped) for row in r.by_source]) -r = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, config(ngc.CostOnly()), +print("LOSSY", r.call_delivered, r.call_edge_drops, [(row.source, row.total_edge_drops) for row in r.by_source]) +r = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, config(ngc.ShortestPaths()), g.eligibility(excluded_nodes=[0])).place(10) -print("source 0 excluded", r.placed) +print("source 0 excluded", r.call_delivered) ``` ```text -CostOnly 0 EXHAUSTED -Global EQUAL 0 EXHAUSTED -Global OPTIMIZED 10 COMPLETE +ShortestPaths 0 EXHAUSTED +CentralizedTE EQUAL 0 EXHAUSTED +CentralizedTE OPTIMIZED 10 COMPLETE LOSSY 5 [(0, 5)] [(0, 5), (1, 0)] source 0 excluded 10 ``` @@ -909,61 +1031,116 @@ source 0 excluded 10 ### Forwarding programs **In plain words.** A program is what a routing decided, written down: which routes each source -uses and in which integer proportions. CostOnly, Global, T1 and T2 produce one (`policy.program`, +uses and in which integer proportions. Every computing model produces one (`policy.program`, `result.program`). `Pinned(program)` forwards a program without computing anything: to replay a solution on another ledger, to study a failure (the routers drop the failed routes and split over the survivors) or to study the moment before anyone reacts (the failed elements swallow what -reaches them). `ForwardingProgram.from_routes` builds a program from routes you give. +reaches them). `ForwardingProgram.from_routes` builds a program from routes you give, each its own +entry; `ForwardingProgram.from_dag` builds one shared hop-by-hop program on a DAG you give, its +sources pooled exactly as `ShortestPaths` pools them. **Exact rules.** - **The value.** A `ForwardingProgram` is immutable and shared by reference: `sources` and - `destinations` (the normalised sets), `tunnels` (the tunnel entries in ascending `index`; split - routes are not listed) and `source_weights` (`None` for equal sources). A `Tunnel` has `index`, - `head`, `local_index` (its position among its head's entries of both kinds), `destination`, - `edges` (in path order), `route_cost` (these three `None` for a tunnel T1's setup left down), - `status` (`UP`, or a down tunnel's `NO_BANDWIDTH` or `COST_CEILING`), `requested` and - `reserved` (T1's request and what it holds on every edge of its path: the request when up, else - 0; 0 for the other producers), `planned` (T2's planned bandwidth u, never held; 0 for the other - producers) and `weight`. It has no public constructor. + `destinations` (the normalised input sets), `tunnels` (the tunnel entries in ascending + `entry_id`; split routes are not listed) and `source_weights` (`None` for equal sources). A + `Tunnel` has `entry_id`, `head`, `local_index` (its position among its head's entries of both + kinds), `destination`, `edges` (in path order), `path_cost` (these three `None` for a tunnel + T1's setup left down), `status` (`UP`, or a down tunnel's `INSUFFICIENT_BANDWIDTH` or + `COST_CEILING_EXCEEDED`), `requested_bandwidth` and `reserved_bandwidth` (T1's request and what + it holds on every edge of its path: the request when up, else 0; 0 for the other producers), + `planned_bandwidth` (T2's planned bandwidth u, never held; 0 for the other producers) and + `weight`. It has no public constructor. +- **What a program shows.** A program can be replayed without exporting its tables. The public + value does not expose per-router effective weights, the split tables or a reachable-source list + (its `sources` are the normalised input sources); a split program may have no tunnels while it + carries traffic. Records and `OutputOptions` give the carried and dropped amounts per edge. - **Injection.** A total `x` enters at the roster (the heads with an entry; for T1 and T2 the - policy's roster, a head without an up tunnel or without any tunnel included) either by round robin (**equal sources**) or by - highest averages over the captured source weights; each head then splits its share by highest - averages over its entries' weights (equal weights give round robin). A head whose entries all - have weight 0 loses its share at the source. Identical routes are never merged: each entry - takes its own share. -- **Entry identifiers.** T1 and T2 tunnels are numbered `j * H + i` (round `j`, roster position - `i`, `H` heads; T2's dead heads leave holes); controller paths are numbered in decomposition order; a `CostOnly` split - program numbers its routes by roster position; supplied routes keep their position in the list - (a split route uses its position too, so tunnel indices can skip it). Records (`entry`) and - `by_tunnel` rows (`index`) use the same identifier. -- **Split contexts.** A split route's routers split only that route's share, even where another - split route reaches the same router with the same members. Only a `CostOnly` program pools its - per-source routes into one context. -- **`ForwardingProgram.from_routes(graph, sources, destinations, routes, *, placement=None, - weights=None, edge_weights=None, residual=None)`** with `Route(head, bundle, *, weight=1)` - (`bundle` a `Path` with one edge per hop, a tunnel, or a `PredDAG`, a split route). Order and - duplicates are kept; the roster is the sources with a route. `placement` is the interior split - of the `PredDAG` routes, `EQUAL_BALANCED` (`None`) or `WEIGHTED`, whose weights `weights`, - `edge_weights` and `residual` choose as in [section 5](#5-placement-kernels-and-admission) - (`residual` is the free capacity `RESIDUAL_SNAPSHOT` reads; it has no default). A split route - keeps the edges of its DAG on the walks from its head to a destination. The first failure, in - this order, raises `ValueError`: the endpoint sets; `routes must not be empty`; when no route is - a `PredDAG`, any option given (` applies only to - PredDAG routes`); `MAX_FLOW` (`from_routes placement must be EQUAL_BALANCED or WEIGHTED`); the - weights' combination (as for a configuration, `weights require placement=WEIGHTED` and - `residual requires weights=RESIDUAL_SNAPSHOT` included); `edge_weights`' length and entries, - `residual`'s (the ledger's baseline messages); then each route in list order: - `routes[]: bundle belongs to another graph`, `routes[]: head is not a source`, for a + policy's roster, a head without an up tunnel or without any tunnel included) either by round + robin (**equal sources**) or by highest averages over the captured source weights; each head + then splits its share by highest averages over its entries' weights (equal weights give round + robin). A head whose entries all have weight 0 loses its share at the source. Identical routes + are never merged: each entry takes its own share. `ShortestPaths` split routing, `from_dag`, T1, + T2, equal controllers and supplied routes use equal sources; optimized controllers use their + solved supplies. +- **Entry identifiers.** Every entry has an integer `entry_id` that identifies it within one + program (not across recomputations): T1 and T2 tunnels are numbered `j * H + i` (round `j`, + roster position `i`, `H` heads; T2's dead heads leave holes); controller paths are numbered in + decomposition order; a `ShortestPaths` split program and a `from_dag` program number their routes + by roster position; supplied routes keep their position in the `routes` list (a split route uses + its position too, so tunnel identifiers can skip it). Records (`FlowRecord.entry_id`) and + `by_tunnel` rows (`TunnelFlow.entry_id`) use the same identifier. +- **Split contexts.** A split route given to `from_routes` is its own context: its routers split + only that route's share, even where another split route reaches the same router with the same + members. A `ShortestPaths` program and a `from_dag` program pool all their sources in one + context. +- **`ForwardingProgram.from_routes(graph, sources, destinations, routes, *, allocation=None, + weight_basis=None, edge_weights=None, residual=None)`** with `RouteDefinition(head, route, *, + weight=1)` (`route` a `Path` with one edge per hop, a tunnel, or a `PredecessorDAG`, a split + route). Order and duplicates are kept; the roster is the sources with a route. `allocation` is + the interior split of the `PredecessorDAG` routes, `EQUAL` (`None`) or `WEIGHTED`, whose weights + `weight_basis`, `edge_weights` and `residual` choose as in + [section 5](#5-route-allocations-and-admission) (`residual` is the free capacity + `RESIDUAL_SNAPSHOT` reads; it has no default). A split route keeps the edges of its DAG on the + walks from its head to a destination. The first failure, in this order, raises `ValueError`: + the endpoint sets; `routes must not be empty`; when no route is a `PredecessorDAG`, any option + given (` applies only to PredecessorDAG + routes`); `OPTIMIZED` (`from_routes allocation must be EQUAL or WEIGHTED`); the weights' + combination (`weight_basis requires allocation=WEIGHTED`, `weight_basis=EXPLICIT requires + edge_weights`, `edge_weights require weight_basis=EXPLICIT`, `weight_basis=RESIDUAL_SNAPSHOT + requires residual`, `residual requires weight_basis=RESIDUAL_SNAPSHOT`); `edge_weights`' length + and entries, `residual`'s (the ledger's baseline messages); then each route in list order: + `routes[]: route belongs to another graph`, `routes[]: head is not a source`, for a `Path` `routes[]: a tunnel has one edge per hop`, `routes[]: the path starts at , not at head `, `routes[]: the path ends at , not at a destination`, `routes[]: the path - meets destination before its end`, for a `PredDAG` `routes[]: no walk from head to a - destination`, then `routes[]: weight must be an integer in [0, 2^62)`. A route of weight 0 is - validated in full and carries nothing. + meets destination before its end`, for a `PredecessorDAG` `routes[]: no walk from head + to a destination`, then `routes[]: weight must be an integer in [0, 2^62)`. A route of + weight 0 is validated in full and carries nothing. - **The lossless bound.** A Lossless call forwards each entry's share without drops, adds the loads per edge and admits the largest total that leaves no share without a route and puts no edge above its free capacity (exact bisection: the totals that fit form a prefix). +#### Supplied DAGs: from_dag + +`ForwardingProgram.from_dag(graph, sources, destinations, dag, *, allocation=None, +weight_basis=None, edge_weights=None, residual=None)` builds one shared hop-by-hop program on a +`PredecessorDAG` of the graph, trimmed to the walks from each source to its first destinations. +It is the mechanism `ShortestPaths` `EQUAL`/`WEIGHTED` uses for its own routes (one builder): +sources are allocated equally and pooled at every shared router with exactly the same splitting +and attribution, in one split context. `allocation` is `EQUAL` (`None`) or `WEIGHTED`; the weights +and the snapshot follow [section 5](#5-route-allocations-and-admission), and `RESIDUAL_SNAPSHOT` +needs an explicit `residual`. The roster is the sources that reach a destination in the DAG, +ignoring capacity and weights; an empty roster is allowed (an empty program). There is one split +route per roster source, identified by roster position, and no tunnel; a `Pinned` policy keeps one +record per route, attributed to its source. A replay rebuilds the roster on the DAG and keeps the +pooled context; stale forwarding keeps the tables and the roster. The first failure, in this +order, raises `ValueError`: the endpoint sets; `dag belongs to another graph`; the allocation +(`from_dag allocation must be EQUAL or WEIGHTED`) and the weights' combination as for +`from_routes`; `edge_weights`' and `residual`'s lengths and entries. A `dag` of another type is a +`TypeError` (`dag must be a PredecessorDAG (got )`). + +Two sources whose routes meet at node 2, which has two links of 1 to the destination. `from_dag` +pools the two arrivals and splits them once, one per link; two separate split routes of +`from_routes` each send their unit to the first link: + +```python +g = graph(4, [(0, 2, 10, 1), (1, 2, 10, 1), (2, 3, 1, 1), (2, 3, 1, 1)]) +dag = ngc.PredecessorDAG.from_csr(g, [0, 0, 0, 2, 4], [0, 1, 2, 2], [0, 1, 2, 3]) +pooled = ngc.ForwardingProgram.from_dag(g, [0, 1], 3, dag) +separate = ngc.ForwardingProgram.from_routes(g, [0, 1], 3, [ngc.RouteDefinition(0, dag), ngc.RouteDefinition(1, dag)]) +for name, prog in (("from_dag", pooled), ("from_routes", separate)): + cfg = ngc.FlowPolicyConfig(routing=ngc.Pinned(prog)) + print(name, prog.tunnels, ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, cfg).place(float("inf")).call_delivered) +sp = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, config(ngc.ShortestPaths())).place(float("inf")) +print("ShortestPaths", sp.call_delivered) +``` + +```text +from_dag () 2 +from_routes () 1 +ShortestPaths 2 +``` + #### Replay under a failure A `Pinned` policy's Eligibility is the failure being studied (local repair): @@ -972,11 +1149,12 @@ A `Pinned` policy's Eligibility is the failure being studied (local repair): computes a replacement path. A tunnel T1's setup left down stays down with its status: replay never brings one up. - A split route loses its excluded members and the branches left without a destination; members - of capacity 0 stay (`EQUAL_BALANCED` still sends them their share). + of capacity 0 stay (`EQUAL` still sends them their share). - The roster is rebuilt from the program's **basis**, ignoring capacities and weights: for an - unrestricted controller, T1 and T2 the topology under the producing policy's exclusions, for `CostOnly`, - a supported `Global` and supplied routes the original routes, each together with the policy's - exclusions. A head that no longer reaches a destination leaves the pool (equal sources: its + unrestricted `CentralizedTE`, T1 and T2 without a support the topology under the producing + policy's exclusions; for `ShortestPaths`, `from_dag`, a supported `CentralizedTE` (with or + without a tunnel count) and supplied routes the original routes or support; each together with + the policy's exclusions. A head that no longer reaches a destination leaves the pool (equal sources: its share moves to the others); a head that still reaches one but has no surviving entry keeps its share and loses it. Captured source weights keep the remaining heads' saved weights; when all of them are 0, the whole offer is lost at the sources (`NO_ACTIVE_WEIGHT`). @@ -990,7 +1168,7 @@ while the nodes and edges `e` excludes swallow what reaches them (`None`, or an means none). Nothing is pruned, re-split or reweighted: every router keeps its members and weights and applies the program's whole-unit rule to the traffic that actually arrives. A black-holed edge carries nothing (all that arrives is dropped there); a black-holed node acts the -same on every edge entering it; a black-holed source loses its own share as `source_loss`. Lossy +same on every edge entering it; a black-holed source loses its own share as a source drop. Lossy runs the loss rule below with those edges serving 0; Lossless admits only totals that put nothing on a black hole. A tunnel that is up but whose path reaches a black hole is `BLACKHOLED` in `by_tunnel`, its traffic dropped at the first black hole on its path. The policy's Eligibility @@ -1001,7 +1179,7 @@ setup status. A program forwarded by `Pinned` books no hold, whatever its produc # Two parallel edges of 4 and 8: the duplicate tunnel takes its own share. g = graph(2, [(0, 1, 4, 1), (0, 1, 8, 1)]) def tunnel(g, head, edges, weight=1): - return ngc.Route(head, ngc.Path(g, [[e] for e in edges]), weight=weight) + return ngc.RouteDefinition(head, ngc.Path(g, [[e] for e in edges]), weight=weight) def pinned(program, admission=ngc.Admission.LOSSLESS, black_holes=None): return ngc.FlowPolicyConfig(routing=ngc.Pinned(program, black_holes=black_holes), admission=admission) @@ -1009,7 +1187,7 @@ for routes in ([tunnel(g, 0, [0]), tunnel(g, 0, [1]), tunnel(g, 0, [1])], [tunnel(g, 0, [0]), tunnel(g, 0, [1])]): prog = ngc.ForwardingProgram.from_routes(g, 0, 1, routes) r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, pinned(prog)).place(float("inf")) - print(r.placed, [(t.index, t.assigned) for t in r.by_tunnel]) + print(r.call_delivered, [(t.entry_id, t.assigned) for t in r.by_tunnel]) # Two tunnels 0 -> 1 -> 3 and 0 -> 2 -> 3, every edge 10: node 2 fails. g = graph(4, [(0, 1, 10, 1), (0, 2, 10, 1), (1, 3, 10, 1), (2, 3, 10, 1)]) @@ -1017,11 +1195,11 @@ prog = ngc.ForwardingProgram.from_routes(g, 0, 3, [tunnel(g, 0, [0, 2]), tunnel( down = g.eligibility(excluded_nodes=[2]) lossy = pinned(prog, ngc.Admission.LOSSY) r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, lossy, down).replace(10) -print("repair", r.placed, [(t.status.name, t.assigned) for t in r.by_tunnel]) +print("repair", r.call_delivered, [(t.status.name, t.assigned) for t in r.by_tunnel]) r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, pinned(prog, ngc.Admission.LOSSY, down)).replace(10) -print("stale", r.placed, r.call_drops, [(t.status.name, t.assigned) for t in r.by_tunnel]) +print("stale", r.call_delivered, r.call_edge_drops, [(t.status.name, t.assigned) for t in r.by_tunnel]) print("stale lossless", ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, pinned(prog, black_holes=down)) - .place(float("inf")).placed) + .place(float("inf")).call_delivered) ``` ```text @@ -1041,12 +1219,12 @@ head's surviving tunnel: ```python g = graph(4, [(0, 1, 2, 1), (0, 2, 10, 1), (1, 3, 2, 1), (2, 3, 10, 1)]) -solved = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, ngc.FlowPolicyConfig(routing=ngc.Global())) +solved = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.OPTIMIZED))) prog = solved.replace(12).program -print([(t.index, list(t.edges), t.weight) for t in prog.tunnels], prog.source_weights) +print([(t.entry_id, list(t.edges), t.weight) for t in prog.tunnels], prog.source_weights) r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, pinned(prog, ngc.Admission.LOSSY), g.eligibility(excluded_edges=[2])).replace(12) -print(r.placed, r.call_drops, [(t.status.name, t.assigned, t.delivered) for t in r.by_tunnel]) +print(r.call_delivered, r.call_edge_drops, [(t.status.name, t.assigned, t.delivered) for t in r.by_tunnel]) ``` ```text @@ -1057,6 +1235,19 @@ print(r.placed, r.call_drops, [(t.status.name, t.assigned, t.delivered) for t in The first tunnel is `FAILED`; the head's 12 go to its other tunnel by its weight 10 alone, which carries 10 and drops 2 on edge 1. +#### Failure studies + +A failure has three states, all built from these primitives: **stale forwarding** (no router has +reacted yet: the black holes above), **local repair** (the routers drop the failed routes and split +over the survivors: the mask of a `Pinned` policy) and **converged routing** (a new computation on +the failed network: a new policy with that mask). Save the baseline program before the failure. +`evaluate_edge_failures` recomputes or repairs under each deletion +([section 10](#10-evaluators)); it never turns a deletion into a black hole, so a stale study of +every link is a loop over `Pinned(base, black_holes=...)`. A failure never changes the graph or +another policy's mask; on a shared ledger, the old owner is removed or replaced before its +replacement is modelled, since a new policy is a different demand that does not release the old +one's traffic or holds. + ### Losses inside one program Where several entries of one program meet on an edge that cannot carry them all (Lossy), the @@ -1083,13 +1274,13 @@ and does not claim that no answer exists. g = graph(4, [(0, 1, 10, 1), (0, 2, 10, 1), (1, 3, 2, 1), (2, 3, 10, 1)]) prog = ngc.ForwardingProgram.from_routes(g, 0, 3, [tunnel(g, 0, [0, 2]), tunnel(g, 0, [1, 3])]) r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, pinned(prog, ngc.Admission.LOSSY)).place(12) -print(r.placed, r.call_drops, [(t.assigned, t.delivered, t.dropped) for t in r.by_tunnel]) +print(r.call_delivered, r.call_edge_drops, [(t.assigned, t.delivered, t.total_edge_drops) for t in r.by_tunnel]) # One edge of 9 shared by two tunnels of weights 2 and 1: the offer splits 8 and 4, the edge 6 and 3. g = graph(2, [(0, 1, 9, 1)]) prog = ngc.ForwardingProgram.from_routes(g, 0, 1, [tunnel(g, 0, [0], 2), tunnel(g, 0, [0], 1)]) r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, pinned(prog, ngc.Admission.LOSSY)).place(12) -print(r.placed, [(t.assigned, t.delivered, t.dropped) for t in r.by_tunnel]) +print(r.call_delivered, [(t.assigned, t.delivered, t.total_edge_drops) for t in r.by_tunnel]) # Two tunnels cross edges X (e0, 1 unit) and Y (e3, 2 units) in opposite orders, weights 1 and 2. g = graph(6, [(0, 1, 1, 1), (1, 2, 1000, 1), (1, 5, 1000, 1), (2, 3, 2, 1), (3, 0, 1000, 1), @@ -1113,7 +1304,7 @@ from zero alternate between two states, so the call raises and publishes nothing ### T1: tunnels set up by their heads -**In plain words.** `CapacityAware(Tunnels(N))` models distributed RSVP-TE: there is no +**In plain words.** `DistributedTE(TunnelCount(N))` models distributed RSVP-TE: there is no controller, and each head (a roster source) sets up its own N tunnels. A design volume D is split equally over the heads and each head's share equally over its N tunnels; each tunnel asks for that bandwidth. One tunnel at a time, in rounds over the heads, the head keeps the links with @@ -1126,77 +1317,91 @@ gets through. **Exact rules.** -- **Sizing.** `H` roster heads in ascending node id, `N = tunnels.count`. Head `i`'s design - share is `RR(D, H, i)` (`plan.head_design`), its tunnel `j`'s request `RR(share, N, j)`: the - tunnels of one head differ by at most one unit. Tunnels are numbered in round order (round `j = - 0..N-1`, the heads ascending within a round): entry index `j * H + i`, local index `j`; this is - also the setup order. An empty roster gives an empty program. +- **Sizing.** `H` roster heads in ascending node id, `N = tunnel_count.per_head` (an "up to" count + is refused). Head `i`'s design share is `RR(D, H, i)` (`plan.design_by_head`), its tunnel `j`'s + request `RR(share, N, j)`: the tunnels of one head differ by at most one unit. Tunnels are + numbered in round order (round `j = 0..N-1`, the heads ascending within a round): entry + identifier `j * H + i`, local index `j`; this is also the setup order. An empty roster gives an + empty program. +- **Small shares and zero requests.** When a head's share is below N units, some requests are 0. + All N tunnels are still set up: a tunnel with request 0 comes up holding nothing, like an + RSVP-TE tunnel with no bandwidth; its search has no bandwidth filter (unless + `min_unreserved_bandwidth` is positive), so it may cross an edge of capacity 0, where the + traffic later sent on it is lost on that edge. A design of 0 is the extreme case: every request + is 0 and an offer is forwarded over the tunnels. - **The setup view U** of an edge is the ledger's unreserved capacity with this policy's own holds released (never above the capacity). Every attempt runs, also after failures, on U minus the requests of the tunnels already up in this setup. - **One attempt (CSPF)** with request `b` keeps the allowed edges with `U >= max(b, min_unreserved_bandwidth)` (a request of 0 with a minimum of 0 keeps every allowed edge, one of - capacity 0 included), then with `multi_edge=False` one member per pair by the member rule (the - filter first, then the member rule, at every attempt), then takes the canonical single path of - [section 4](#the-canonical-single-path) on static costs toward the allowed destinations: the - lowest cost; under `PREFER_HIGHER_PRIORITY` the larger bottleneck priority; fewer hops; the - smaller EdgeId sequence. The priorities read U: `RESIDUAL` U, `HEADROOM` U divided by the - capacity (exactly; 0 on an edge of capacity 0), `CAPACITY` the capacity. -- **The ceiling.** `Absolute(c)` admits a path of cost at most `c`. `Stretch(f)` admits a cost at - most `f` times `c0` exactly (`f` read as the binary fraction it is), `c0` the smallest static - shortest cost over all roster heads under the policy's Eligibility, edges of capacity 0 - included, before any bandwidth filter: one baseline for the whole pool, fixed when the policy is - built. + capacity 0 included), then with `parallel_edges=False` one member per pair by the member rule + (the filter first, then the member rule, at every attempt), then takes the canonical single path + of [section 4](#the-canonical-single-path) on static costs toward the allowed destinations: the + lowest cost; under a `HIGHER_*` rule the larger bottleneck score; fewer hops; the smaller EdgeId + sequence. The scores read the setup view: `HIGHER_AVAILABLE_CAPACITY` reads U, + `HIGHER_HEADROOM` U divided by the capacity (exactly; 0 on an edge of capacity 0), + `HIGHER_CAPACITY` the capacity. +- **The ceiling.** `AbsoluteCost(c)` admits a path of cost at most `c`. `CostStretch(n/d)` admits + a cost `c` exactly when `c * d <= n * c0`, `c0` the smallest static shortest cost over all + roster heads under the policy's Eligibility, edges of capacity 0 included, before any bandwidth + filter: one baseline for the whole pool, not per head (a head whose own shortest cost is 3 can + fail `CostStretch(2)` because another head has a zero-capacity shortest route of cost 1), fixed + when the policy is built. - **Statuses.** `UP`: the tunnel holds `b` on every edge of its path (its record's - `reserved_edges`) and has weight 1. `NO_BANDWIDTH`: no path passes the filter. `COST_CEILING`: - the cheapest filtered path exceeds the ceiling. A down tunnel keeps its request, has no - destination, path or cost (`None`), has weight 0 and holds nothing. There is no partial hold, - retry, growth or count reduction; `min_unreserved_bandwidth` filters searches and is never held. + `edge_reservations`) and has weight 1. `INSUFFICIENT_BANDWIDTH`: no path passes the filter. + `COST_CEILING_EXCEEDED`: the cheapest filtered path exceeds the ceiling. A down tunnel keeps its + request, has no destination, path or cost (`None`), has weight 0 and holds nothing. There is no + partial hold, retry, growth or count reduction; `min_unreserved_bandwidth` filters searches and + is never held. A tunnel count is a number of setup attempts per head, not a number of tunnels + guaranteed up, and two tunnels may take the same links. - **Forwarding** is the program's: a total `x` enters as `RR(x, H, i)` at head `i`, then round robin over that head's up tunnels in local order. A head with no up tunnel keeps its share and - loses it (Lossy: `source_loss`; Lossless admits only totals that give it nothing, - [the equal origin](#the-equal-origin-and-a-source-that-cannot-pass-anything)); the demand is - never renormalised over the heads that have tunnels. Changing only the offer never changes the - setup. When every tunnel is up and U is at most the residual on every edge, D itself is carried - losslessly. Holds do not police: a tunnel carries what forwarding gives it within the residual, - more than its hold when the edges have room, and its traffic meets every other demand's on the - residual. T1 reports no `total_cost`, `min_cut` or `cost_distribution`. -- **Operations.** No `place` (`T1 does not support incremental placement`, `place(0)` too). - `replace(offer, design_demand=D)` releases the policy's own holds and traffic, sets up again and - forwards; `evaluate` computes the same and publishes nothing (no record, no hold); + loses it (Lossy: a source drop; Lossless admits only totals that give it nothing, + [equal source allocation](#equal-source-allocation-and-a-source-that-cannot-pass-anything)); the + demand is never renormalised over the heads that have tunnels. Changing only the offer never + changes the setup. When every tunnel is up and U is at most the residual on every edge, D itself + is carried losslessly. Holds do not police: a tunnel carries what forwarding gives it within the + residual, more than its hold when the edges have room, and its traffic meets every other + demand's on the residual. T1 reports no `total_cost`, `min_cut` or `marginal_cost_curve`. +- **Operations.** No `place` (`DistributedTE does not support incremental placement`, `place(0)` + too). `replace(offer, design_demand=D)` releases the policy's own holds and traffic, sets up + again and forwards; `evaluate` computes the same and publishes nothing (no record, no hold); `forward(offer)` forwards the installed program and keeps its tunnels and holds (the new records - carry the same `reserved_edges`). `design_demand=None` means `D = offer`; an infinite offer needs - a finite design (`T1 requires a finite design demand`). A full zero offer such as `replace(0, - D)` still sets up and books the holds. `remove()` releases both projections. -- **Records and rows.** One record per program entry in index order (`entry` = the index), a down - tunnel's included (zero, an empty bundle, `route_cost` `None`). `by_tunnel` shows a down + carry the same `edge_reservations`). `design_demand=None` means `D = offer`; an infinite offer + needs a finite design (`DistributedTE requires a finite design demand`). To study a change of + the offer alone, keep D explicit: `replace(offer + 1)` without it designs again for the new + offer. A full zero offer such as `replace(0, design_demand=D)` still sets up and books the + holds. `remove()` releases both projections. T1 is not monotone in D: more design demand can + bring more tunnels up or fewer. +- **Records and rows.** One record per program entry in identifier order (`entry_id`), a down + tunnel's included (zero, an empty route, `min_route_cost` `None`). `by_tunnel` shows a down tunnel's setup status and `UP`, or `BLACKHOLED` in stale forwarding; a `Pinned` replay of a T1 program shows `FAILED` for an up tunnel its mask touches, keeps a down tunnel down and holds nothing. -- **The plan.** `result.plan` is a `TunnelPlan` of the program after the call: `count` (N), - `design_demand` (D), `head_design` (`(head, RR(D, H, i))` for every roster head) and - `reserved_total` (the up tunnels' requests, each counted once). It is `None` for every other - routing, `Pinned` over a T1 program included. +- **The plan.** `result.plan` is a `TunnelPlan` of the program after the call: + `tunnels_per_head` (N), `design_demand` (D), `design_by_head` (`(head, RR(D, H, i))` for every + roster head) and `total_reserved_bandwidth` (the up tunnels' requests, each counted once). It is + `None` for every other routing, `Pinned` over a T1 program included. A T1 call: head 0's only edge has 2 units, head 1's has 10, two tunnels per head: ```python g = graph(3, [(0, 2, 2, 1), (1, 2, 10, 1)]) ledger = ngc.FlowLedger(g) -lossy_t1 = ngc.FlowPolicyConfig(routing=ngc.CapacityAware(ngc.Tunnels(2)), +lossy_t1 = ngc.FlowPolicyConfig(routing=ngc.DistributedTE(ngc.TunnelCount(2)), admission=ngc.Admission.LOSSY) pol = ngc.FlowPolicy(ledger, [0, 1], 2, lossy_t1) r = pol.replace(12, design_demand=12) print([t.status.name for t in r.program.tunnels]) -print([(t.index, t.head, t.requested, t.reserved, t.edges) for t in r.program.tunnels]) -print(r.placed, r.call_source_loss, r.plan.reserved_total, r.plan.head_design) +print([(t.entry_id, t.head, t.requested_bandwidth, t.reserved_bandwidth, t.edges) for t in r.program.tunnels]) +print(r.call_delivered, r.call_source_drops, r.plan.total_reserved_bandwidth, r.plan.design_by_head) print(ledger.reserved().tolist(), ledger.unreserved().tolist(), ledger.residual().tolist()) r = pol.forward(8) -print(r.placed, r.call_source_loss, r.reservations_changed, ledger.reserved().tolist()) +print(r.call_delivered, r.call_source_drops, r.reservations_changed, ledger.reserved().tolist()) ``` ```text -['NO_BANDWIDTH', 'UP', 'NO_BANDWIDTH', 'UP'] +['INSUFFICIENT_BANDWIDTH', 'UP', 'INSUFFICIENT_BANDWIDTH', 'UP'] [(0, 0, 3, 0, None), (1, 1, 3, 3, (1,)), (2, 0, 3, 0, None), (3, 1, 3, 3, (1,))] 6 6 6 ((0, 6), (1, 6)) [0, 6] [2, 4] [2, 4] @@ -1210,89 +1415,108 @@ tunnels and the holds; head 0 still loses its share, now 4. ### T2: the controller's equal tunnels -**In plain words.** `Global(tunnels=Tunnels(N))` models a central controller (a PCE or an SDN -controller) that programs, for every head, the same number of single-path tunnels, all planned -with one common whole-unit bandwidth. It first makes that common bandwidth as large as possible, -then (for a finite design volume) no larger than needed, then picks the cheapest routes, then -(with `prefer_headroom=True`) the routes that leave the most spare capacity, and finally breaks any -remaining tie by one fixed unit-by-unit procedure. Real traffic then splits equally over the heads -and over each head's tunnels; whole-unit remainders may use room beyond the plan. A planned -bandwidth is metadata: the ledger holds nothing for it. `Tunnels(L, up_to=True)` gives every head -one common count `k <= L`, the smallest that carries the design. A head that cannot reach a -destination over free capacity is dead: it keeps its share and loses it; a weak but live head -limits the common size of every tunnel, by design (heads that must not limit each other are -separate demands). +**In plain words.** `CentralizedTE(source_allocation=..., tunnel_count=TunnelCount(N))` models a +central controller (a PCE or an SDN controller) that programs, for every head, the same number of +single-path tunnels, all planned with one common whole-unit bandwidth. It first makes that common +bandwidth as large as possible, then (for a finite design volume) no larger than needed, then +picks the cheapest routes, then (with `prefer_headroom=True`) the routes that leave the most spare +capacity, and finally breaks any remaining tie by one fixed unit-by-unit procedure. Real traffic +then splits equally over the heads and over each head's tunnels; whole-unit remainders may use +room beyond the plan. A planned bandwidth is metadata: the ledger holds nothing for it. +`TunnelCount(L, up_to=True)` gives every head one common count `k <= L`, the smallest that +carries the design. A head that cannot reach a destination over free capacity is dead: it keeps +its share and loses it; a weak but live head limits the common size of every tunnel, by design +(heads that must not limit each other are separate demands). A `support` DAG restricts every step +to its edges. **Exact rules.** - **Heads.** The roster (`H` heads in ascending node id) is topological, as for T1. A head is **live** if it reaches an allowed destination over allowed links with free capacity `V >= 1`, - `V` the residual with this policy's own traffic released (`plan.live_heads`); the others are - **dead**: they keep their roster position and their share, get no tunnel and lose the share. `a` - live heads, `k` tunnels each (`N`, or the chosen count), `K = a * k` tunnels. + `V` the residual with this policy's own traffic released (`plan.heads_with_capacity`); the + others are **dead**: they keep their roster position and their share, get no tunnel and lose + the share. `a` live heads, `k` tunnels each (`N`, or the chosen count), `K = a * k` tunnels. +- **On a support.** `CentralizedTE(source_allocation=..., support=dag, tunnel_count=...)` is T2 + with the allowed links restricted to the edges of `dag`, intersected with the policy's + Eligibility. Every step (roster, live heads, sizing, count choice, both objectives, the + decomposition, the program's replay basis) uses this one allowed set, and the amounts, plans, + routes and flags equal those of the same configuration without a support and with the DAG's + edge set composed into the Eligibility. Parallel members and EdgeIds are kept; the DAG is not + read as separate routes. - **Sizing.** Tunnels of a common size `s > 0` exist exactly when `K` path units flow from a virtual root (an arc of capacity `k` to every live head) to the destinations with link - capacities `min(K, floor(V / s))` (paths stop at the first destination). `common_share` U is the - largest integer size that passes (0 when none does); `fluid_share` is the exact fluid optimum - `s*` (a `Fraction` `V[e] / j` with `j <= K`; `U = floor(s*)`). -- **Working size.** For a finite design D, `planned_per_tunnel` u is `min(U, max(1, max over live - heads of ceil(RR(D, H, i) / k)))`, the shares taken over the whole roster, dead heads included; - an unlimited design uses `u = U`. Every tunnel is planned at u; `planned_total` is `K * u`. + capacities `min(K, floor(V / s))` (paths stop at the first destination). + `max_bandwidth_per_tunnel` U is the largest integer size that passes (0 when none does); + `max_fractional_bandwidth_per_tunnel` is the exact fluid optimum `s*` (a `Fraction` `V[e] / j` + with `j <= K`; `U = floor(s*)`). +- **Working size.** For a finite design D, `planned_bandwidth_per_tunnel` u is `min(U, max(1, max + over live heads of ceil(RR(D, H, i) / k)))`, the shares taken over the whole roster, dead heads + included; an unlimited design uses `u = U`. Every tunnel is planned at u; + `total_planned_bandwidth` is `K * u`. Once U >= 1, every live head keeps all k tunnels even when + its share is below k units, including a design of 0 (the tunnels are planned at 1 and carry what + forwarding gives them). - **Routes.** At u, among the count vectors `x` (the tunnels on each link) that route `k` tunnels - per live head with `x[e] <= min(K, floor(V[e] / u))`: first the smallest `route_cost` `J = sum of - cost[e] * x[e]` (idle tunnels count); then, with `prefer_headroom=True`, the smallest - `headroom_penalty`: each link with static capacity `B > 0` charges its `j`-th tunnel `floor(2^32 * - (B - V + j * u) / B)` (the occupied fraction of the link, rounded down to 2^-32); then the - canonical augmentation: `K` single units from zero, each on the residual path from the root to - the sink of the smallest `(J, Phi)` price, then the fewest arcs, then the smallest sequence of - arc keys (`(0, EdgeId, direction)` for links, `(1, head, direction)` for root arcs, `(2, - destination, direction)` for sink arcs; forward 0, reverse 1); a reverse arc undoes an earlier - unit. Without `prefer_headroom` the second price is 0. `J` and `Phi` are exact Python integers and can - exceed 64 bits. + per live head with `x[e] <= min(K, floor(V[e] / u))`: first the smallest route-cost sum `J = + sum of cost[e] * x[e]` (`total_tunnel_cost`; idle tunnels count); then, with + `prefer_headroom=True`, the smallest `headroom_penalty`: each link with static capacity `B > 0` + charges its `j`-th tunnel `floor(2^32 * (B - V + j * u) / B)` (the occupied fraction of the + link, rounded down to 2^-32); then the canonical augmentation: `K` single units from zero, each + on the residual path from the root to the sink of the smallest `(J, Phi)` price, then the fewest + arcs, then the smallest sequence of arc keys (`(0, EdgeId, direction)` for links, `(1, head, + direction)` for root arcs, `(2, destination, direction)` for sink arcs; forward 0, reverse 1); a + reverse arc undoes an earlier unit. Without `prefer_headroom` the second price is 0. `J` and + `Phi` are exact Python integers and can exceed 64 bits. - **The program.** `x` is cut, live head by live head in ascending node id, into unit walks along the smallest positive EdgeId to a destination; each head's `k` walks are sorted by EdgeId sequence (duplicates are separate tunnels). The tunnels are in round order: local index `j`, - then roster position `i`, with the entry index `j * H + i` (`H` counts dead heads too, so a dead - head leaves holes). Every tunnel is `UP` with weight 1, `planned = u` and `requested = reserved = - 0`; a plan books no hold. + then roster position `i`, with the entry identifier `j * H + i` (`H` counts dead heads too, so + a dead head leaves holes). Every tunnel is `UP` with weight 1, `planned_bandwidth = u` and + `requested_bandwidth = reserved_bandwidth = 0`; a plan books no hold. - **Up to L.** For each `k` in `1..L` the program at `U(k)` scores `G(min(D, F'(k)))`: `G(z)` is the part of a round-robin total `z` that the live heads receive, `F'(k)` the largest total whose live shares fit on that program (dead shares ignored); an unlimited design scores `G(F'(k))`. The smallest `k` whose score is the live part of D wins; if none, the largest score, then the - smallest `k`; the chosen `k` is then laid out at its own u (`plan.count`). Delivery is not - monotone in `k`, so only two proved bounds skip a `k`: with `M = H * k` roster positions the - score lies between `G(min(D, M * U(k)))` and `G(min(D, M * (U(k) + 1) - 1))`, and `U(k)` never - grows with `k` (once it is 0, every later count scores 0). -- **Outcomes.** An empty roster gives an empty program (`NO_ROUTE` for a positive offer). No live - head, or live heads with `U = 0` (`insufficient_resolution` True, `common_share` 0, - `fluid_share` positive), give a program **without tunnels that keeps the roster**: - `policy.program` is set, `forward` works and every head's share is lost at its head (Lossy - `COMPLETE`, Lossless `EXHAUSTED` for a positive offer). No partial program is made for one head. + smallest `k`; the chosen `k` is then laid out at its own u (`plan.tunnels_per_head`). Delivery + is not monotone in `k`, so only two proved bounds skip a `k`: with `M = H * k` roster positions + the score lies between `G(min(D, M * U(k)))` and `G(min(D, M * (U(k) + 1) - 1))`, and `U(k)` + never grows with `k` (once it is 0, every later count scores 0). "Up to L" finds the smallest + common count that carries the live heads' design shares (or the best score); it does not + promise lossless delivery of the whole demand and does not optimise an arbitrary offer. +- **Count outcomes.** An empty roster gives an empty program (`NO_ROUTE` for a positive offer). + No live head, or live heads with `U = 0` (`insufficient_resolution` True, + `max_bandwidth_per_tunnel` 0, `max_fractional_bandwidth_per_tunnel` positive), give a program + **without tunnels that keeps the roster**: `policy.program` is set, `forward` works and every + head's share is lost at its head (Lossy `COMPLETE`, Lossless `EXHAUSTED` for a positive offer). + Otherwise every live head has `k` tunnels. No partial program is made for one head; check the + plan before assuming `len(tunnels) == N * H`. - **Forwarding** is the program's: a total `x` enters as `RR(x, H, i)` over the whole roster, then round robin over the head's `k` tunnels in local order; a dead head's share is lost. - `forwarding_bound` F is the program's lossless maximum on the call's view (a dead head's share + `max_lossless_offer` F is the program's lossless maximum on the call's view (a dead head's share blocks every total that gives it a unit: F is then 0 or a few remainder units). With `u = U` and every head live, `0 <= F - K * U < K`. -- **Configuration.** `prefer_headroom` (`False` by default) switches the headroom objective on; - T2 takes no `selection` (`Global does not accept selection`), always keeps every parallel link, - uses single-path tunnels and the canonical final tie. Origin `EQUAL` (the default); `OPTIMIZED` only with one input source (`T2 with several - sources requires origin=EQUAL`, counted before any Eligibility), the same calculation. `support` - and `tunnels` together raise `Global support and tunnels are mutually exclusive`. Admission - `LOSSLESS` or `LOSSY`. No path-cost ceiling. The tunnel count and the tunnel limit as for T1 - (`L` counts for "up to"). -- **Operations.** No `place` (`T2 does not support incremental placement`, `place(0)` too). - `replace(offer, design_demand=D)` releases the policy's own traffic, lays the tunnels out again - for D and forwards; `design_demand=None` means `D = offer`, and `float('inf')` (or an infinite - Lossless offer) is an unlimited design. `evaluate` computes the same and publishes nothing; - `forward(offer)` forwards the installed program and keeps its plan. A planned size change over - the same routes sets no flag. T2 reports no `total_cost`, `min_cut` or `cost_distribution`. -- **Records and rows.** One record per tunnel in index order (a dead head has no entry and no +- **Configuration.** `source_allocation` is stated: `EQUAL` with any number of heads; `OPTIMIZED` + only with one input source, the same calculation (`CentralizedTE with tunnel_count and several + sources requires source_allocation=EQUAL`, counted before any Eligibility). `prefer_headroom` + (`False` by default) switches the headroom objective on; T2 has no route choice of its own: + it always keeps every parallel link, uses single-path tunnels and the canonical final tie. + Admission `LOSSLESS` or `LOSSY`. No path-cost ceiling. The tunnel count and the tunnel limit as + for T1 (`L` counts for "up to"). +- **Operations.** No `place` (`CentralizedTE with tunnel_count does not support incremental + placement`, `place(0)` too). `replace(offer, design_demand=D)` releases the policy's own + traffic, lays the tunnels out again for D and forwards; `design_demand=None` means `D = offer`, + and `float('inf')` (or an infinite Lossless offer) is an unlimited design. `evaluate` computes + the same and publishes nothing; `forward(offer)` forwards the installed program and keeps its + plan. A planned size change over the same routes sets no flag. T2 reports no `total_cost`, + `min_cut` or `marginal_cost_curve`. +- **Records and rows.** One record per tunnel in identifier order (a dead head has no entry and no record). -- **The plan.** `count`, `design_demand`, `head_design` (empty for an unlimited design) and - `reserved_total` (0), then T2's own fields: `live_heads`, `insufficient_resolution`, - `fluid_share`, `common_share`, `planned_per_tunnel`, `planned_total`, `route_cost`, - `headroom_penalty` (`None` without `prefer_headroom`) and `forwarding_bound`. With no live head every - amount is 0 (`count` is N, or 1 for "up to"). +- **The plan.** `tunnels_per_head`, `design_demand`, `design_by_head` (empty for an unlimited + design) and `total_reserved_bandwidth` (0), then T2's own fields: `heads_with_capacity`, + `insufficient_resolution`, `max_fractional_bandwidth_per_tunnel`, `max_bandwidth_per_tunnel`, + `planned_bandwidth_per_tunnel`, `total_planned_bandwidth`, `total_tunnel_cost`, + `headroom_penalty` (`None` without `prefer_headroom`) and `max_lossless_offer`. With no live head + every amount is 0 (`tunnels_per_head` is N, or 1 for "up to"). A plan is metadata of the + computation, neither the installed program nor its delivery. A T2 call: two branches from node 0 to node 3 of 2 and 10 (at q = 2^-12: 8192 and 40960 units), 16 tunnels, `prefer_headroom=True`, then the same program replayed with the 2-unit branch's second @@ -1300,22 +1524,23 @@ link down: ```python q = 2.0 ** -12 -g = ngc.Graph(4, src=[0, 0, 1, 2], dst=[1, 2, 3, 3], capacity_units=ngc.to_units([2, 10, 2, 10], q), - cost=[1, 1, 1, 1], resolution=q) -te16 = ngc.FlowPolicyConfig(routing=ngc.Global(tunnels=ngc.Tunnels(16), prefer_headroom=True), +g = ngc.Graph(4, edge_sources=[0, 0, 1, 2], edge_destinations=[1, 2, 3, 3], edge_capacity_units=ngc.to_units([2, 10, 2, 10], q), + edge_costs=[1, 1, 1, 1], resolution=q) +te16 = ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.EQUAL, + tunnel_count=ngc.TunnelCount(16), prefer_headroom=True), admission=ngc.Admission.LOSSY) pol = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, te16) r = pol.replace(49152) p = r.plan -print(p.common_share, p.planned_per_tunnel, p.fluid_share, p.forwarding_bound, r.placed) -print(p.planned_total, p.route_cost, p.headroom_penalty, p.live_heads, p.insufficient_resolution) -print([t.edges for t in r.program.tunnels][:3], [t.planned for t in r.program.tunnels][:3]) +print(p.max_bandwidth_per_tunnel, p.planned_bandwidth_per_tunnel, p.max_fractional_bandwidth_per_tunnel, p.max_lossless_offer, r.call_delivered) +print(p.total_planned_bandwidth, p.total_tunnel_cost, p.headroom_penalty, p.heads_with_capacity, p.insufficient_resolution) +print([t.edges for t in r.program.tunnels][:3], [t.planned_bandwidth for t in r.program.tunnels][:3]) fail = g.eligibility(excluded_edges=[2]) replay = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, ngc.FlowPolicyConfig(routing=ngc.Pinned(pol.program), admission=ngc.Admission.LOSSY), - elig=fail) + eligibility=fail) s = replay.replace(49152) -print([t.status.name for t in s.by_tunnel][:3], s.placed) +print([t.status.name for t in s.by_tunnel][:3], s.call_delivered) ``` ```text @@ -1334,15 +1559,17 @@ whole share over the other 14. A dead head, a head too weak for one unit per tunnel, and "up to": ```python -lossy_t2 = lambda tunnels: ngc.FlowPolicyConfig(routing=ngc.Global(tunnels=tunnels), admission=ngc.Admission.LOSSY) +lossy_t2 = lambda tunnel_count: ngc.FlowPolicyConfig( + routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.EQUAL, tunnel_count=tunnel_count), + admission=ngc.Admission.LOSSY) dead = graph(3, [(0, 2, 0, 1), (1, 2, 10, 1)]) -r = ngc.FlowPolicy(ngc.FlowLedger(dead), [0, 1], 2, lossy_t2(ngc.Tunnels(2))).replace(10) -print(r.plan.live_heads, [t.index for t in r.program.tunnels], r.plan.planned_per_tunnel, r.placed, r.call_source_loss) +r = ngc.FlowPolicy(ngc.FlowLedger(dead), [0, 1], 2, lossy_t2(ngc.TunnelCount(2))).replace(10) +print(r.plan.heads_with_capacity, [t.entry_id for t in r.program.tunnels], r.plan.planned_bandwidth_per_tunnel, r.call_delivered, r.call_source_drops) tiny = graph(3, [(0, 2, 1, 1), (1, 2, 100, 1)]) -r = ngc.FlowPolicy(ngc.FlowLedger(tiny), [0, 1], 2, lossy_t2(ngc.Tunnels(16))).replace(200) -print(r.plan.insufficient_resolution, r.plan.fluid_share, r.program.tunnels, r.call_source_loss) -r = ngc.FlowPolicy(ngc.FlowLedger(tiny), [0, 1], 2, lossy_t2(ngc.Tunnels(3, up_to=True))).replace(200) -print(r.plan.count, [t.edges for t in r.program.tunnels], r.placed) +r = ngc.FlowPolicy(ngc.FlowLedger(tiny), [0, 1], 2, lossy_t2(ngc.TunnelCount(16))).replace(200) +print(r.plan.insufficient_resolution, r.plan.max_fractional_bandwidth_per_tunnel, r.program.tunnels, r.call_source_drops) +r = ngc.FlowPolicy(ngc.FlowLedger(tiny), [0, 1], 2, lossy_t2(ngc.TunnelCount(3, up_to=True))).replace(200) +print(r.plan.tunnels_per_head, [t.edges for t in r.program.tunnels], r.call_delivered) ``` ```text @@ -1361,10 +1588,11 @@ The headroom objective on two equal-cost parallel links of 10, two tunnels for a ```python par = graph(2, [(0, 1, 10, 1), (0, 1, 10, 1)]) for on in (False, True): - cfg = ngc.FlowPolicyConfig(routing=ngc.Global(tunnels=ngc.Tunnels(2), prefer_headroom=on), + cfg = ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.EQUAL, + tunnel_count=ngc.TunnelCount(2), prefer_headroom=on), admission=ngc.Admission.LOSSY) r = ngc.FlowPolicy(ngc.FlowLedger(par), 0, 1, cfg).replace(12, design_demand=2) - print(on, [t.edges for t in r.program.tunnels], r.plan.headroom_penalty, r.plan.forwarding_bound, r.placed) + print(on, [t.edges for t in r.program.tunnels], r.plan.headroom_penalty, r.plan.max_lossless_offer, r.call_delivered) ``` ```text @@ -1377,66 +1605,92 @@ smallest keys: both tunnels on link 0, which then bounds forwarding at 10. With on link 0 would pay `floor(2^32 * 2 / 10)` against `floor(2^32 / 10)` on link 1, so the tunnels spread and the program forwards 20. +T2 on a support: three parallel links from node 0 to node 1 of (capacity, cost) (6, 1), (6, 1) and +(100, 2); the support holds the first two. The cheap pair carries one tunnel each and the third +link is never used; with the second link masked, both tunnels share the first: + +```python +sup = graph(2, [(0, 1, 6, 1), (0, 1, 6, 1), (0, 1, 100, 2)]) +support = ngc.PredecessorDAG.from_csr(sup, [0, 0, 2], [0, 0], [0, 1]) +on_support = ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.EQUAL, support=support, + tunnel_count=ngc.TunnelCount(2)) +for mask in (None, sup.eligibility(excluded_edges=[1])): + pol = ngc.FlowPolicy(ngc.FlowLedger(sup), 0, 1, ngc.FlowPolicyConfig(routing=on_support), mask) + r = pol.replace(float("inf")) + print(r.plan.max_bandwidth_per_tunnel, [t.edges for t in r.program.tunnels], r.plan.max_lossless_offer) +``` + +```text +6 [(0,), (1,)] 12 +3 [(0,), (0,)] 6 +``` + ### The placement call -`place(volume, outputs=None)` takes a request in units (an `int`) or `float('inf')`. - -1. **Validation** happens before anything changes. Within an epoch, a finite request after an - infinite one is rejected (the cumulative request would be undefined), `place(0)` included. -2. **A request of 0** is `COMPLETE` and does nothing: it creates no flow and prepares nothing. It - reports the demand's state, with both flags false. -3. **`CostOnly` split routing and `Pinned`.** `CostOnly` prepares the program at the epoch's first - positive call (one record per roster source, also at zero delivery); `Pinned` creates its - records, one per entry, there. Lossless then admits the largest total `a` - between what it already delivers and that plus the request whose forwarding of `RR(a)` from - zero fits the free capacity plus the policy's own allocation with no drop and gives no share to - a source without a member (exact binary search: the totals that fit form a prefix). Lossy - injects at the sources this call's increase of the injection, `RR(offered + v) - RR(offered)` - (or the difference of the highest averages over captured source weights), and forwards it hop - by hop on the free capacity: each edge carries the smaller of what reaches it and its residual - and drops the rest. An infinite Lossy request is rejected for `Pinned` (`LOSSY forwarding - requires a finite offer`); for `CostOnly` it is the **first-hop experiment**: each source injects on each of its first edges exactly that edge's - residual, on top of the traffic other sources send through it, and forwarding runs as usual. +`place(offer, outputs=None)` takes an offer in units (an `int`) or `float('inf')`. + +1. **Validation** happens before anything changes. Within an epoch, a finite offer after an + infinite one is rejected (`finite placement after infinite placement requires a new epoch`, the + cumulative request would be undefined), `place(0)` included. +2. **An offer of 0** is `COMPLETE` and does nothing: it creates no flow and prepares nothing. + Before any program exists (a new policy, or after `remove()`) its result is all zeros, every + flag false; with a program installed it reports the demand's current state with every flag + false. It is not a removal: `remove()` is. +3. **`ShortestPaths` split routing and `Pinned`.** `ShortestPaths` prepares the program at the + epoch's first positive call (one record per roster source, also at zero delivery); `Pinned` + creates its records, one per entry, there. Lossless then admits the largest total `a` between + what it already delivers and that plus the offer whose forwarding of `RR(a)` from zero fits the + free capacity plus the policy's own allocation with no drop and gives no share to a source + without a member (exact binary search: the totals that fit form a prefix); a unit refused by + an earlier call is not offered again (the next call targets what is delivered plus its own + offer). Lossy injects at the sources this call's increase of the injection, + `RR(offered + v) - RR(offered)` (or the difference of the highest averages over captured source + weights), and forwards it hop by hop on the free capacity: each edge carries the smaller of + what reaches it and its residual and drops the rest; old drops are never offered again. An + infinite Lossy offer is rejected for `Pinned` (`LOSSY forwarding requires a finite offer`); for + `ShortestPaths` it is the first-hop experiment of [section 5](#5-route-allocations-and-admission). 4. **The controllers** re-solve as described above. -5. **T1 and T2** have no `place`: every call raises ` does not support incremental - placement`, before anything else (a request of 0 too); their calls are `replace`, `evaluate` - and `forward`. +5. **T1 and T2** have no `place`: every call raises `DistributedTE does not support incremental + placement` or `CentralizedTE with tunnel_count does not support incremental placement`, before + anything else (an offer of 0 too); their calls are `replace`, `evaluate` and `forward`. 6. **Commit.** All changes to the ledger and the policy are committed together at the end, or none are ([section 8](#8-failures-threads-and-lifetimes)). What the call guarantees: -- `placed` is the increase in delivery made by this call, and `0 <= placed <= volume`. For Lossy - it is this call's delivery. `remaining = volume - placed` (`float('inf')` for an infinite - request; for Lossy it includes what was lost). -- A `place` call never reduces `placed_demand()`, the sum of `delivered` over the policy's records. -- The first positive request creates the policy's records even when none of them can deliver - anything yet. Such a zero-delivery - record keeps its FlowId for the rest of the epoch and can fill on a later call. +- `call_delivered` is the increase in delivery made by this call, and `0 <= call_delivered <= + offer`. For Lossy it is this call's delivery. `call_undelivered = offer - call_delivered` + (`float('inf')` for an infinite offer; for Lossy it includes what was lost); it is never a + backlog to retry. +- A `place` call never reduces `delivered()`, the sum of `delivered` over the policy's records. +- The first positive offer creates the policy's records even when none of them can deliver + anything yet. Such a zero-delivery record keeps its FlowId for the rest of the epoch and can fill + on a later call. - **Additivity.** With the rest of the network unchanged between the calls, `place(a); place(b)` - equals `place(a + b)` exactly for Lossless `CostOnly` split routing, the controllers (value, - allocation and cost curve) and Lossless `Pinned`. Lossy calls are not - additive: each forwards its own injection on the free capacity the earlier calls left, and - nothing is offered again. + equals `place(a + b)` exactly for Lossless `ShortestPaths` split routing, the controllers (value, + allocation and cost curve) and Lossless `Pinned`. Lossy calls are not additive: each forwards its + own injection on the free capacity the earlier calls left, and nothing is offered again. ### Epochs `remove()` takes every flow of the policy out of the ledger (allocations reverted, records gone, ids retired), clears the installed program and starts a new epoch: the cumulative request, the round-robin position of the source split and the finite-or-infinite state are reset. The next -positive request prepares again and creates new flows with new ids; ids are never reused. +positive offer prepares again and creates new flows with new ids; ids are never reused. A +repeated `remove()` does nothing. A policy destroyed without `remove()` leaves its traffic and +holds in the ledger as orphans until `FlowLedger.reset()`; nothing is redistributed. `replace` and `forward` also start a new epoch (below). ```python g = graph(4, [(0, 1, 10, 1), (1, 3, 10, 1), (0, 2, 2, 1), (2, 3, 2, 1)]) ledger = ngc.FlowLedger(g) -pol = ngc.FlowPolicy(ledger, [0, 1], 3, config(ngc.CostOnly())) +pol = ngc.FlowPolicy(ledger, [0, 1], 3, config(ngc.ShortestPaths())) for v in (1, 1, 0): r = pol.place(v) - print(v, r.placed, r.routes_changed, [(x.flow_id[1], x.delivered) for x in pol.records()]) + print(v, r.call_delivered, r.routes_changed, [(x.flow_id[1], x.delivered) for x in pol.records()]) pol.remove() r = pol.place(1) -print(1, r.placed, r.routes_changed, [(x.flow_id[1], x.delivered) for x in pol.records()]) +print(1, r.call_delivered, r.routes_changed, [(x.flow_id[1], x.delivered) for x in pol.records()]) ``` ```text @@ -1447,7 +1701,7 @@ print(1, r.placed, r.routes_changed, [(x.flow_id[1], x.delivered) for x in pol.r ``` The first unit goes to source 0 and the second to source 1 (round robin of the cumulative -request); the first call creates both records, source 1's at zero delivery. After `remove()` the +offer); the first call creates both records, source 1's at zero delivery. After `remove()` the split starts again at source 0, under new ids. ### Operations: evaluate, replace and forward @@ -1459,9 +1713,9 @@ view**: the ledger's residual with the policy's own traffic given back. | --- | --- | --- | | `evaluate(offer, *, design_demand=None, outputs=None)` | computes and forwards `offer` from the released view as a fresh epoch would (T1: sets up on its unreserved view with its own holds released), and reports it; publishes nothing, creates no record and books no hold | all | | `replace(offer, *, design_demand=None, outputs=None)` | the same computation, then published at once: the old records and holds are retired, new ones created, the new program installed, a new epoch begun with `requested = offer`; delivery may go down | all | -| `forward(offer, *, black_holes=None, outputs=None)` | forwards a full new offer over the installed program with no route computation and no setup (weights stay frozen, a controller does not re-solve, T1 keeps its tunnels and holds, T2 its tunnels and plan), on the released view, then publishes like `replace`; `black_holes` forwards it stale for this call | `CostOnly`, `Global`, T1 and T2 with an installed program; `Pinned` uses `replace` | +| `forward(offer, *, black_holes=None, outputs=None)` | forwards a full new offer over the installed program with no route computation and no setup (weights stay frozen, a controller does not re-solve, T1 keeps its tunnels and holds, T2 its tunnels and plan), on the released view, then publishes like `replace`; `black_holes` forwards it stale for this call | every computing model with an installed program; `Pinned` uses `replace` | -- `placed` of a full-offer call is its whole new delivery and `delivery_delta` the new delivery +- `call_delivered` of a full-offer call is its whole new delivery and `delivery_delta` the new delivery minus the old (it may be negative). A later `place` continues the epoch a `replace` or a `forward` began (its records keep their ids). - With other owners fixed, identical full inputs give identical results, except fresh record ids. @@ -1470,24 +1724,29 @@ view**: the ledger's residual with the policy's own traffic given back. offer`, as for `evaluate` and `replace` and Lossy `Pinned`); the black holes' graph (`black_holes belongs to another graph`). - **`design_demand`** belongs to T1 and T2 alone (every other routing raises ` does not - accept design_demand`, the model `CostOnly`, `Global` or `Pinned`): an integer in `[0, 2^62)` or - `float('inf')` (else `design_demand must be an integer in [0, 2^62) or permitted +inf`); `None` - means equal to the offer; T1 needs it finite (`T1 requires a finite design demand`, also for an - infinite offer without a design); T2 takes an unlimited one (its largest common size). It never accumulates. `evaluate` and `replace` check the - offer, then a Lossy `+inf`, then the design (the routing, its domain, finiteness). + accept design_demand`, the model `ShortestPaths`, `CentralizedTE` or `Pinned`): an integer in + `[0, 2^62)` or `float('inf')` (else `design_demand must be an integer in [0, 2^62) or permitted + +inf`); `None` means equal to the offer; T1 needs it finite (`DistributedTE requires a finite + design demand`, also for an infinite offer without a design); T2 takes an unlimited one (its + largest common size). It never accumulates. `evaluate` and `replace` check the offer (`offer + must be an integer in [0, 2^62) or permitted +inf`), then a Lossy `+inf`, then the design (the + routing, its domain, finiteness). +- A program reused elsewhere, or read again under a different mask, goes through a new `Pinned` + policy; a program forwarded by `Pinned` never books holds, whatever its producer (read a + result's `edge_reservations` or the ledger for actual holds). ```python g = graph(2, [(0, 1, 10, 1), (0, 1, 10, 1)]) ledger = ngc.FlowLedger(g) -pol = ngc.FlowPolicy(ledger, 0, 1, config(ngc.CostOnly())) +pol = ngc.FlowPolicy(ledger, 0, 1, config(ngc.ShortestPaths())) r = pol.replace(6) -print(r.placed, [x.flow_id[1] for x in pol.records()]) +print(r.call_delivered, [x.flow_id[1] for x in pol.records()]) r = pol.evaluate(12) -print(r.placed, r.delivery_delta, ledger.allocated().tolist()) +print(r.call_delivered, r.delivery_delta, ledger.carried().tolist()) r = pol.replace(4) -print(r.placed, r.delivery_delta, [x.flow_id[1] for x in pol.records()]) +print(r.call_delivered, r.delivery_delta, [x.flow_id[1] for x in pol.records()]) r = pol.forward(7) -print(r.placed, r.routes_changed, r.weights_changed, ledger.allocated().tolist()) +print(r.call_delivered, r.routes_changed, r.weights_changed, ledger.carried().tolist()) ``` ```text @@ -1504,26 +1763,26 @@ applies (an invalid call raises instead): | Termination | When | | --- | --- | -| `COMPLETE` | the request is 0 | -| `NO_ROUTE` | the request is positive and the roster is empty (`Pinned`: the replay roster) | +| `COMPLETE` | the offer is 0 | +| `NO_ROUTE` | the offer is positive and the roster is empty (`Pinned`: the replay roster) | | `NO_ACTIVE_WEIGHT` | the program has an entry with a path (an up tunnel, a controller path or a split route), but nothing can be sent anywhere: every `WEIGHTED` member has weight 0, or no head with a positive injection weight has a surviving entry of positive weight (routes of weight 0, every up tunnel failed). A program whose tunnels are all down (T1) or that has no tunnels (T2 with every head dead, or U = 0) is not this case: it goes on to the rows below, every share lost at its head | -| `COMPLETE` | Lossy with a finite request: the whole request was forwarded, and delivery and losses account for all of it (it does not mean nothing was lost) | -| `COMPLETE` | Lossless: the whole request was admitted | -| `EXHAUSTED` | otherwise: Lossless below the request, any infinite request (the first-hop experiment included), a controller whose maximum is 0 over existing routes | +| `COMPLETE` | Lossy with a finite offer: the whole offer was forwarded, and delivery and losses account for all of it (it does not mean nothing was lost) | +| `COMPLETE` | Lossless: the whole offer was admitted | +| `EXHAUSTED` | otherwise: Lossless below the offer, any infinite offer (the first-hop experiment included), a controller whose maximum is 0 over existing routes | -`remaining` is an amount, never a status: a Lossy call can be `COMPLETE` with a positive -`remaining`. +`call_undelivered` is an amount, never a status: a Lossy call can be `COMPLETE` with a positive +`call_undelivered`. A `Pinned` replay of a program gives the same termination as its producer. ```python def show(r): - print(r.placed, r.termination.name, [(row.source, row.delivered) for row in r.by_source]) + print(r.call_delivered, r.termination.name, [(row.source, row.delivered) for row in r.by_source]) # Every tunnel down: five edges, the design 14 asks 7 per tunnel and no path has 7. g = graph(4, [(0, 1, 6, 1), (0, 2, 6, 3), (1, 2, 4, 1), (1, 3, 6, 3), (2, 3, 6, 1)]) for admission in (ngc.Admission.LOSSY, ngc.Admission.LOSSLESS): - all_down = ngc.FlowPolicyConfig(routing=ngc.CapacityAware(ngc.Tunnels(2)), admission=admission) + all_down = ngc.FlowPolicyConfig(routing=ngc.DistributedTE(ngc.TunnelCount(2)), admission=admission) r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, all_down).replace(14, design_demand=14) - print(admission.name, [t.status.name for t in r.by_tunnel], r.call_source_loss, end=" ") + print(admission.name, [t.status.name for t in r.by_tunnel], r.call_source_drops, end=" ") show(r) # One edge for source 1 to node 4. @@ -1531,15 +1790,15 @@ g = graph(5, [(0, 2, 1, 1), (0, 3, 1, 1), (2, 4, 1, 1), (3, 4, 1, 1), (1, 4, 1, # Weights from the residual where another demand holds the only edge: no positive weight. ledger = ngc.FlowLedger(g) -ngc.FlowPolicy(ledger, 1, 4, config(ngc.CostOnly())).place(1) -weighted = ngc.FlowPolicyConfig(routing=ngc.CostOnly(), placement=ngc.FlowPlacement.WEIGHTED, - weights=ngc.WeightBasis.RESIDUAL_SNAPSHOT, selection=DET) +ngc.FlowPolicy(ledger, 1, 4, config(ngc.ShortestPaths())).place(1) +weighted = ngc.FlowPolicyConfig(routing=ngc.ShortestPaths(allocation=ngc.RouteAllocation.WEIGHTED, + weight_basis=ngc.WeightBasis.RESIDUAL_SNAPSHOT)) show(ngc.FlowPolicy(ledger, 1, 4, weighted).place(1)) ``` ```text -LOSSY ['NO_BANDWIDTH', 'NO_BANDWIDTH'] 14 0 COMPLETE [(0, 0)] -LOSSLESS ['NO_BANDWIDTH', 'NO_BANDWIDTH'] 0 0 EXHAUSTED [(0, 0)] +LOSSY ['INSUFFICIENT_BANDWIDTH', 'INSUFFICIENT_BANDWIDTH'] 14 0 COMPLETE [(0, 0)] +LOSSLESS ['INSUFFICIENT_BANDWIDTH', 'INSUFFICIENT_BANDWIDTH'] 0 0 EXHAUSTED [(0, 0)] 0 NO_ACTIVE_WEIGHT [(1, 0)] ``` @@ -1555,33 +1814,34 @@ what `replace` would set). They compare the installed program before and after t program counts as an empty one): `routes_changed` the ordered heads, each entry's kind and route (a tunnel's path, a split route's members), duplicates included; `weights_changed` the injection (equal or the captured weights, by value) and every entry and split-table weight, an entry absent -from one program counting as weight 0; `reservations_changed` every tunnel's `requested` and -`reserved` amounts by index, an absent tunnel counting as 0 (only T1 sets it: T2's planned +from one program counting as weight 0; `reservations_changed` every tunnel's `requested_bandwidth` +and `reserved_bandwidth` by identifier, an absent tunnel counting as 0 (only T1 sets it: T2's planned bandwidth is no reservation, and a T2 layout over the same routes at another planned size sets no flag). Hence: | Committed change | `routes_changed` | `weights_changed` | | --- | --- | --- | -| the epoch's first nonempty program (`CostOnly` and the controllers' first positive call, a `replace`, `replace(0)` included) | true | true when some entry has a positive weight (a T1 program whose tunnels are all down: false) | +| the epoch's first nonempty program (`ShortestPaths` and the controllers' first positive call, a `replace`, `replace(0)` included) | true | true when some entry has a positive weight (a T1 program whose tunnels are all down: false) | | a T1 setup whose paths or up and down tunnels differ from the installed one's (requests changed too: `reservations_changed`) | true | true when a tunnel came up or went down | | an empty program over no program or an empty one (a call with an empty roster, `replace(0)` included) | false | false | -| a controller's re-solve that moves a source's share to other edges, also with `placed == 0` | true | true unless the entries keep their number and amounts | -| a controller's re-solve that changes only a path's amount (`Global` `place(5)` then `place(5)` on one path) | false | true | -| an offer-only call over an unchanged program: `forward`, `Pinned`, `CostOnly` increments, an identical `replace` (new ids) | false | false | -| nothing of the above: `place(0)` (a request of 0, which prepares and installs nothing, unlike a full zero offer such as `replace(0)`, which follows the rows above), rejected candidates only | unchanged | unchanged | +| a controller's re-solve that moves a source's share to other edges, also with `call_delivered == 0` | true | true unless the entries keep their number and amounts | +| a controller's re-solve that changes only a path's amount (`CentralizedTE` `place(5)` then `place(5)` on one path) | false | true | +| an offer-only call over an unchanged program: `forward`, `Pinned`, `ShortestPaths` increments, an identical `replace` (new ids) | false | false | +| nothing of the above: `place(0)` (an offer of 0, which prepares and installs nothing, unlike a full zero offer such as `replace(0)`, which follows the rows above), rejected candidates only | unchanged | unchanged | -`reservations_changed` is true exactly when some tunnel's `requested` or `reserved` amount changed -by index: a T1 `replace` (or `evaluate`) whose design or setup differs, even over unchanged -paths; it is never set by `forward`, by `Pinned` or by the other routings. +`reservations_changed` is true exactly when some tunnel's requested or reserved amount changed by +identifier: a T1 `replace` (or `evaluate`) whose design or setup differs, even over unchanged +paths; it is never set by `forward`, by `Pinned` or by the other routings. The flags describe +routes, weights and holds only: delivered and dropped amounts can change with all three false. ```python -# A first request on a route whose only unit another demand holds. +# A first offer on a route whose only unit another demand holds. g = graph(5, [(0, 2, 1, 1), (0, 3, 1, 1), (2, 4, 1, 1), (3, 4, 1, 1), (1, 4, 1, 1)]) ledger = ngc.FlowLedger(g) -ngc.FlowPolicy(ledger, 1, 4, config(ngc.CostOnly())).place(1) -pol = ngc.FlowPolicy(ledger, 1, 4, config(ngc.CostOnly())) +ngc.FlowPolicy(ledger, 1, 4, config(ngc.ShortestPaths())).place(1) +pol = ngc.FlowPolicy(ledger, 1, 4, config(ngc.ShortestPaths())) r = pol.place(1) -print(r.placed, r.termination.name, r.routes_changed, r.weights_changed, +print(r.call_delivered, r.termination.name, r.routes_changed, r.weights_changed, [x.delivered for x in pol.records()]) ``` @@ -1591,72 +1851,80 @@ print(r.placed, r.termination.name, r.routes_changed, r.weights_changed, ### The result -`place`, `evaluate`, `replace` and `forward` return a `PlacementResult`. Its fields describe either this call or the demand's state -after it (totals over the epoch); a per-call loss field carries the `call_` prefix, a state field -does not, so the two are never confused. +`place`, `evaluate`, `replace` and `forward` (and every evaluator) return a `PlacementResult`. Its +fields describe either this call or the demand's state after it (totals over the epoch); a +per-call loss field carries the `call_` prefix, a state field does not, so the two are never +confused. -- **This call**: `placed`, `remaining`, `termination`, `routes_changed`, `weights_changed` and - `reservations_changed` as above; `delivery_delta`, the change of the delivery (for `place` it equals `placed`); - `call_drops`, this call's drops per edge as `[(EdgeId, units)]`; `call_source_loss`, the units - this call lost at sources. +- **This call**: `call_delivered`, `call_undelivered`, `termination`, `routes_changed`, + `weights_changed` and `reservations_changed` as above; `delivery_delta`, the change of the + delivery (for `place` it equals `call_delivered`); `call_edge_drops`, this call's drops per edge + as `[(EdgeId, units)]`; `call_source_drops`, the units this call lost at sources. - **The demand's state**: `program` (the installed `ForwardingProgram`, `evaluate`'s computed one; `None` before the epoch's first preparation and after `remove()`), `plan` (T1 and T2: the `TunnelPlan` of that program, [T1](#t1-tunnels-set-up-by-their-heads), [T2](#t2-the-controllers-equal-tunnels); `None` for every other routing, `Pinned` included), - `requested` (the sum of the requests, `float('inf')` after an infinite one), `offered`, - `admitted`, `delivered`, `unadmitted`, `source_loss`, `drops` (per edge, as - `[(EdgeId, units)]`), `by_source`, `by_tunnel` and `total_cost`. Every amount is an exact Python integer and - may exceed 64 bits. -- **Accounting.** Lossless: `offered` is `None`, `source_loss` 0, no drops, `admitted = delivered`, - and `requested = unadmitted + delivered` for a finite request (`unadmitted` is `None` after an - infinite one). Lossy: `offered` is the traffic actually sent, `admitted = offered`, `unadmitted = - 0`, and `offered = source_loss + sum(drops) + delivered`; `offered = requested` except in the - first-hop experiment, where `requested` is infinite and `offered` the finite injection. - `delivered + sum(drops)` is what entered the network. + `requested` (the sum of the offers, `float('inf')` after an infinite one), `offered`, + `admitted`, `delivered`, `unadmitted`, `source_drops`, `edge_drops` (per edge, as + `[(EdgeId, units)]`), `by_source`, `by_tunnel` and `total_cost`. Every amount is an exact Python + integer and may exceed 64 bits. +- **Accounting.** Lossless: `offered` is `None`, `source_drops` 0, no edge drops, `admitted = + delivered`, and `requested = unadmitted + delivered` for a finite offer (`unadmitted` is `None` + after an infinite one). Lossy: `offered` is the traffic actually sent, `admitted = offered`, + `unadmitted = 0`, and `offered = source_drops + sum(edge_drops) + delivered`; `offered = + requested` except in the first-hop experiment, where `requested` is infinite and `offered` the + finite injection. `delivered + sum(edge_drops)` is what entered the network. `edge_flows` are + carried loads per edge: summing them counts every hop, not the delivery. - **`by_source`** is a tuple of `SourceFlow` rows, one per input source in ascending node id, a source outside the roster included (a zero row): `source`, `offered` (`None` when Lossless), - `admitted`, `delivered`, `source_loss` and `dropped` (its share of `drops`). The rows sum to the - totals, with one exception: a Lossy positive request with an empty roster reports `offered = - requested` and all of it as `source_loss`, lost before entering, while every row stays zero. -- **`by_tunnel`** is a tuple of `TunnelFlow` rows, one per program tunnel in ascending `index` - (empty without tunnels): `index`, `head`, `status` (`UP`; `NO_BANDWIDTH` or `COST_CEILING` for a - tunnel T1's setup left down; `FAILED` or `BLACKHOLED` in this forwarding), `assigned` - (its injected share), `delivered` and `dropped`. It is another view of the same traffic as - `by_source`, never added to it. + `admitted`, `delivered`, `source_drops` and `total_edge_drops` (its share of `edge_drops`). The + rows sum to the totals, with one exception: a Lossy positive offer with an empty roster reports + `offered = requested` and all of it as `source_drops`, lost before entering, while every row + stays zero. +- **`by_tunnel`** is a tuple of `TunnelFlow` rows, one per program tunnel in ascending `entry_id` + (empty without tunnels): `entry_id`, `head`, `status` (`UP`; `INSUFFICIENT_BANDWIDTH` or + `COST_CEILING_EXCEEDED` for a tunnel T1's setup left down; `FAILED` or `BLACKHOLED` in this + forwarding), `assigned` (its injected share), `delivered` and `total_edge_drops`. It is another + view of the same traffic as `by_source`, never added to it; a head's source drops are not + attributed to one of its down tunnels. - **`total_cost`**: the controllers only, the exact `sum(cost[e] * flow[e])` of the policy's allocation; `None` otherwise (T1, T2 and `Pinned` included). -- **`cost_distribution`**: unrestricted `Global` with `OPTIMIZED` origin only, the marginal cost curve of the - policy's cumulative flow (a request of 0 reports it unchanged; `None` before the epoch's first - positive call). `None` for every other mode, `EQUAL` origin included: the marginal costs of an - equal flow need not increase. For other modes, the sum of `(route_cost, delivered)` over the - records is a histogram of delivery by each record's cheapest walk cost: the cost every unit - travels at for `CostOnly` split routing, T1 and T2, whose routes have one cost, but not - for a split route whose walks differ in cost. +- **`marginal_cost_curve`**: unrestricted `CentralizedTE` with `OPTIMIZED` source allocation + only, the marginal cost curve of the policy's cumulative flow (an offer of 0 reports it + unchanged; `None` before the epoch's first positive call). `None` for every other model, + `EQUAL` source allocation included: the marginal costs of an equal flow need not increase. For + other models, the sum of `(min_route_cost, delivered)` over the records is a histogram of + delivery by each record's cheapest walk cost: the cost every unit travels at for `ShortestPaths` + split routing, T1 and T2, whose routes have one cost, but not for a split route whose walks + differ in cost. - **Optional outputs**, `None` unless requested through `OutputOptions(edge_flows=False, - residual=False, bottleneck=False, reservation_edge_flows=False, min_cut=False)`: `edge_flows` is - the policy's own allocation per edge after the call (the ledger's total is `allocated()`); - `residual` and `bottleneck` are the ledger's after the call; `reservation_edge_flows` is the - policy's own holds per edge after the call (zeros for a routing without holds; the ledger's - total is `reserved()`); `min_cut` is described below. -- **`bottleneck` and `min_cut` are different things.** `bottleneck` is the saturation report of - [section 6](#6-the-ledger), available in every mode. `min_cut` exists only for unrestricted - `Global` with `OPTIMIZED` origin: the edges of a minimum cut of the policy's view, the one on the sources' side: - the allowed edges that leave the nodes the sources can still reach once the flow is maximal - (counting the option to undo flow on an edge), in ascending EdgeId, an edge with nothing free in - the view (capacity 0, or held by other policies) included: it adds 0 to the cut's value and is - listed because every allowed edge leaving that set is listed; `[]` for an empty roster. It is - present only when the solve reached the maximum on its view; when a request below the maximum - stopped it, on a request of 0 (nothing is solved), and in every other mode, `min_cut` is `None`. + residual=False, saturated_boundary_edges=False, edge_reservations=False, min_cut=False)`: + `edge_flows` is the policy's own allocation per edge after the call (the ledger's total is + `carried()`); `residual` and `saturated_boundary_edges` are the ledger's after the call; + `edge_reservations` is the policy's own holds per edge after the call (zeros for a routing + without holds; the ledger's total is `reserved()`); `min_cut` is described below. +- **`saturated_boundary_edges` and `min_cut` are different things.** `saturated_boundary_edges` is + the saturation report of [section 6](#6-the-ledger), available in every model. `min_cut` + (requested by `OutputOptions(min_cut=True)`) exists only for unrestricted `CentralizedTE` with + `OPTIMIZED` source allocation: the edges of a minimum cut of the policy's view, the one on the + sources' side: the allowed edges that leave the nodes the sources can still reach once the flow + is maximal (counting the option to undo flow on an edge), in ascending EdgeId, an edge with + nothing free in the view (capacity 0, or held by other policies) included: it adds 0 to the + cut's value and is listed because every allowed edge leaving that set is listed; an edge the + policy's Eligibility excludes is never listed; `[]` for an empty roster. It is present only when + the solve reached the maximum on its view; when an offer below the maximum stopped it, on an + offer of 0 (nothing is solved), and in every other model, `EQUAL` sources and a supplied support + included, `min_cut` is `None`. ```python g = graph(4, [(0, 1, 10, 1), (1, 3, 10, 1), (0, 2, 5, 2), (2, 3, 5, 2)]) ledger = ngc.FlowLedger(g) -pol = ngc.FlowPolicy(ledger, 0, 3, ngc.FlowPolicyConfig(routing=ngc.Global())) -want = ngc.OutputOptions(bottleneck=True, min_cut=True) +pol = ngc.FlowPolicy(ledger, 0, 3, ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.OPTIMIZED))) +want = ngc.OutputOptions(saturated_boundary_edges=True, min_cut=True) r = pol.place(12, want) -print(r.placed, r.cost_distribution, r.min_cut, r.bottleneck, r.termination.name) +print(r.call_delivered, r.marginal_cost_curve, r.min_cut, r.saturated_boundary_edges, r.termination.name) r = pol.place(float("inf"), want) -print(r.placed, r.cost_distribution, r.min_cut, r.bottleneck, r.termination.name) +print(r.call_delivered, r.marginal_cost_curve, r.min_cut, r.saturated_boundary_edges, r.termination.name) print(r.requested, r.admitted, r.unadmitted, r.total_cost) ``` @@ -1667,7 +1935,7 @@ inf 15 None 40 ``` After 12 units the cheap path (cost 2) is full and the solve stopped below the maximum, so there -is no cut; `bottleneck` already reports the full edge 0. The second call adds 3 units at cost 4 +is no cut; `saturated_boundary_edges` already reports the full edge 0. The second call adds 3 units at cost 4 and reaches the maximum of 15, at a total cost of 10 x 2 + 5 x 4 = 40. ## 8. Failures, threads and lifetimes @@ -1685,52 +1953,60 @@ threads; ledgers, policies and building caches have one writer at a time. Worker threads are always joined first; an exception never escapes a worker. When several pairs or candidates of an evaluator fail, the exception of the lowest index is raised. - **Limit 1: pybind11's own object machinery.** Constructing a bound object from Python (any of - the library's classes), parsing the arguments of a call that passes keywords, and converting a - returned value into a new Python object or container outside the library's checked result - construction (for example `PredDAG.from_csr`, `Graph.eligibility`, `SensitivityResult.baseline`, - `PlacementResult.termination`, `TunnelFlow.status`, `CapacityAware.max_path_cost`, - `FlowPolicyConfig.routing`) use pybind11's own - allocation paths, which do not all check for failure. A memory failure at exactly that point - may crash the process instead of raising. Library state is never left half-changed by it. The - results of `spf`, `ksp`, `resolve_to_paths`, `ForwardingProgram.from_routes`, `FlowPolicy.place`, - `evaluate`, `replace` and `forward`, `capacity`, `batch_capacity` and `sensitivity` are built - through a checked path and stay inside the guarantee, and so are the shared values and rows the - result objects hand out (`program`, `plan`, `by_source`, `by_tunnel`, `tunnels`, a tunnel's - `status`, a record's `bundle`, `records()` and `record()` of a policy and a ledger, - `CapacityAware.tunnels`, `FlowLedger.graph`, `Eligibility.intersect`). -- **Limit 2: a `DagCache` passed to the call.** A building cache is a memo: when a call fails + the library's classes), parsing the arguments of a call that passes keywords, and converting the + result of a method into a new Python object outside the library's checked construction (for + example `PredecessorDAG.from_csr`, `Graph.eligibility`) use pybind11's own allocation paths, + which do not all check for failure. A memory failure at exactly that point may crash the process + instead of raising. Library state is never left half-changed by it. The results of `spf`, `ksp`, + `resolve_to_paths`, `ForwardingProgram.from_routes` and `from_dag`, `FlowPolicy.place`, + `evaluate`, `replace` and `forward`, `evaluate_demand`, `evaluate_pairs` and + `evaluate_edge_failures` are built through a checked path and stay inside the guarantee, and so + is every read of a field or property and every `repr` of the library's values (the configuration + values and their enumerations, `FlowPolicy.config`, `program`, `plan`, `by_source`, `by_tunnel`, + `tunnels`, `termination`, a tunnel's `status`, a record's `route`, `SensitivityResult.baseline` + and `entries`, among others), and `records()` and `record()` of a policy and a ledger, + `FlowLedger.graph` and `Eligibility.intersect`. +- **Limit 2: a `ShortestPathCache` passed to the call.** A building cache is a memo: when a call fails after some cache lookups succeeded (a policy constructor failing after its lookup, an evaluator failing midway), the cache keeps those complete entries and their statistics. It never holds a partial entry, every value it handed out stays valid, and a kept entry never changes any later result. A failed lookup counts one miss. A frozen cache never changes its entries; a failed - call changes none of its statistics, except one miss when the call raised `DagCacheMiss`. -- **Threads.** `Graph`, `Eligibility`, `PredDAG`, `Path` and a frozen `DagCache` may be shared - by any number of threads. A `FlowLedger`, a `FlowPolicy` and a building `DagCache` have one + call changes none of its statistics, except one miss when the call raised `ShortestPathCacheMiss`. +- **Threads.** `Graph`, `Eligibility`, `PredecessorDAG`, `Path` and a frozen `ShortestPathCache` may be shared + by any number of threads. A `FlowLedger`, a `FlowPolicy` and a building `ShortestPathCache` have one writer and no concurrent readers. An array lent to a call (a residual) must not change during the call. - **Lifetimes.** The graph outlives the ledger, the ledger outlives its policies; Python keeps the graph, ledger, Eligibility and cache alive while a policy needs them. +- **Immutable values.** The configuration values (`FlowPolicyConfig`, the four models, + `TunnelCount`, `AbsoluteCost`, `CostStretch`, `OutputOptions`, `EvaluationOptions`, + `RouteDefinition`) and the search options (`SpfOptions`, `KspOptions`) have read-only fields: + no option object changes after it is built. A policy validates its configuration once and keeps + that snapshot (`policy.config`); an evaluator validates and copies its options at call entry. - **Exception classes.** `ValueError` for a value outside its domain, an invalid combination, a foreign object (a value of another graph, ledger or policy) or a call in the wrong state; `TypeError` for a field or option that does not exist (for example - `CostOnly(tunnels=ngc.Tunnels(2))`), - an argument of the wrong type, or an argument that cannot be converted to its parameter's type: - an integer beyond the float range where a float is expected (the `resolution` of `Graph`, - `to_units` and `as_float`) is a `TypeError`. The fields that convert their own values (the - factor of `Stretch`, the request of `place`) raise - `ValueError` for such an integer and pass on unchanged any exception raised by the value's own - conversion (its `__float__` or `__index__`), whatever its class. `DagCacheMiss` for a miss in - a frozen cache (its own class, neither a `ValueError` nor a `RuntimeError`). + `ShortestPaths(tunnel_count=ngc.TunnelCount(2))`), a missing required argument, `None` where + none is allowed, an argument of the wrong type (a bool field given anything but a `bool` or + `numpy.bool_`; an integer field or `edge_weights` of a configuration value given a non-integer), or an argument + that cannot be converted to its parameter's type: an integer beyond the float range where a + float is expected (the `resolution` of `Graph`, `to_units` and `as_float`) is a `TypeError`. + The call arguments that convert their own values (the offer of `place`, node ids, a search + option's integers) raise `ValueError` for a value of the wrong type, and every converted value + passes on unchanged any exception raised by the value's own conversion (its `__float__` or + `__index__`), whatever its class. `ShortestPathCacheMiss` for a miss in a frozen cache (its own + class, neither a `ValueError` nor a `RuntimeError`); `MemoryError` for an allocation failure + (everything rolled back); `RuntimeError` for an internal invariant failure. ```python g = graph(4, [(0, 1, 10, 1), (1, 3, 10, 1), (0, 2, 2, 1), (2, 3, 2, 1)]) ledger = ngc.FlowLedger(g) -pol = ngc.FlowPolicy(ledger, 0, 3, config(ngc.CostOnly())) -print(pol.place(float("inf")).placed) +pol = ngc.FlowPolicy(ledger, 0, 3, config(ngc.ShortestPaths())) +print(pol.place(float("inf")).call_delivered) try: - pol.place(1) # a finite request after +inf in the same epoch + pol.place(1) # a finite offer after +inf in the same epoch except ValueError: - print("ValueError; unchanged:", pol.placed_demand(), ledger.allocated().tolist()) + print("ValueError; unchanged:", pol.delivered(), ledger.carried().tolist()) ``` ```text @@ -1738,34 +2014,35 @@ except ValueError: ValueError; unchanged: 5 [3, 2, 3, 2] ``` -## 9. The DAG cache +## 9. The shortest-path cache **In plain words.** Many placements need the same static shortest-path DAG toward the same -destinations. A `DagCache` remembers those DAGs for one graph. It stores the full DAG and applies -each caller's selection afterwards, so one entry serves every selection. A cache is either +destinations. A `ShortestPathCache` remembers those DAGs for one graph. It stores the full DAG and +applies each caller's route choice afterwards, so one entry serves every route choice. A cache is either building (one writer adds entries) or frozen (read-only, shared by many threads, and a miss is an error). **Exact rules.** -- **Binding and key.** `DagCache(graph)` is bound to one graph (`graph_uid()`). The key is +- **Binding and key.** `ShortestPathCache(graph)` is bound to one graph (`graph_uid()`). The key is `(the root set as a sorted set, the direction, the Eligibility uid)`. The value is the full - static shortest-path DAG: the DAG of every equal-cost walk (`multipath` `None` or `True`), `multi_edge=True` and no residual. Values are + static shortest-path DAG: the DAG of every equal-cost walk (`multipath=True`, + `parallel_edges=True`) with no residual, edges of capacity 0 included. Values are immutable and stay valid after `clear()` and after the cache is destroyed. -- **Selection is never cached.** The single path and the member rule are applied when a flow is - created, on the cached DAG, reading priorities from the residual at that moment for - `RESIDUAL` and `HEADROOM` and from static capacities for `CAPACITY`. Because the cached DAG keeps - every equal-cost parallel member, a member that a static choice would have dropped is still - available when its residual makes it the right one. -- **Who reads it.** `CostOnly` policies read the cache (keyed by their destination set, reverse - direction, and Eligibility uid); so do the evaluators when they run a `CostOnly` configuration. - The other routing modes do not read it and reject a supplied cache (`ValueError`, for example - `Global does not use DagCache`). +- **The route choice is never cached.** The single path and the member rule are applied when a + program is prepared, on the cached DAG, reading the scores of `HIGHER_AVAILABLE_CAPACITY` and + `HIGHER_HEADROOM` from the residual at that moment and `HIGHER_CAPACITY` from static capacities. + Because the cached DAG keeps every equal-cost parallel member, a member that a static choice + would have dropped is still available when its residual makes it the right one. +- **Who reads it.** `ShortestPaths` policies read the cache (keyed by their destination set, + reverse direction, and Eligibility uid); so do the evaluators when they run a `ShortestPaths` + configuration. The other models do not read it and reject a supplied cache (`ValueError`, for + example `CentralizedTE does not use ShortestPathCache`), as the last check of the model matrix. | Operation | Building | Frozen | | --- | --- | --- | | lookup hit | returns the value | returns the value; safe from many threads | -| lookup miss | searches, inserts, returns | raises `DagCacheMiss` | +| lookup miss | searches, inserts, returns | raises `ShortestPathCacheMiss` | | `freeze()` | becomes frozen | no effect | | `clear()` | empties the cache; hit and miss counters persist | `ValueError` | | `thaw()` | no effect | becomes building; join every reader first | @@ -1776,113 +2053,131 @@ error). included). Each field is atomic; together they are not one consistent snapshot. An invalid query (foreign graph, bad root) counts nothing. A frozen cache's statistics follow the public call: its hits count only when the call succeeds, its Python result included; a failed call - changes no statistic, except one miss for a call that raises `DagCacheMiss`. + changes no statistic, except one miss for a call that raises `ShortestPathCacheMiss`. - **Workers.** A supplied building cache is accepted only with `workers == 1` (`ValueError` otherwise). A frozen cache may be shared by every worker. Without a supplied cache, each worker uses its own private building cache. - **Uids and frozen caches.** A per-pair Eligibility that the evaluator must intersect with a common one gets a new uid when the result differs from both, and that key cannot be in a frozen cache. To reuse prefilled entries, pass already-combined per-pair values with - `elig=None`, or a common value that contains them (so the intersection returns the + `eligibility=None`, or a common value that contains them (so the intersection returns the prefilled operand). - **Scope.** Use one cache per series of analyses on one graph, and drop it at the end of the series. ```python g = graph(5, [(0, 1, 10, 1), (1, 3, 10, 1), (0, 2, 2, 1), (2, 3, 2, 1), (3, 4, 9, 1)]) -cache = ngc.DagCache(g) -opts = ngc.QueryOptions(config(ngc.CostOnly()), cache=cache) -rs = ngc.batch_capacity(g, [(0, 3), (1, 3)], opts) # building: workers defaults to 1 -print([r.placed for r in rs], cache.stats().hits, cache.stats().misses) +cache = ngc.ShortestPathCache(g) +opts = ngc.EvaluationOptions(config(ngc.ShortestPaths()), cache=cache) +rs = ngc.evaluate_pairs(g, [(0, 3), (1, 3)], opts) # building: workers defaults to 1 +print([r.call_delivered for r in rs], cache.stats().hits, cache.stats().misses) cache.freeze() -rs = ngc.batch_capacity(g, [(0, 3), (1, 3)], opts, workers=2) # frozen: shared by 2 workers -print([r.placed for r in rs], cache.stats().hits, cache.stats().misses) +rs = ngc.evaluate_pairs(g, [(0, 3), (1, 3)], opts, workers=2) # frozen: shared by 2 workers +print([r.call_delivered for r in rs], cache.stats().hits, cache.stats().misses) try: - ngc.capacity(g, 0, 4, opts) # destination 4: not in the cache -except ngc.DagCacheMiss: - print("DagCacheMiss; misses =", cache.stats().misses) + ngc.evaluate_demand(g, 0, 4, opts) # destination 4: not in the cache +except ngc.ShortestPathCacheMiss: + print("ShortestPathCacheMiss; misses =", cache.stats().misses) ``` ```text [5, 10] 1 1 [5, 10] 3 1 -DagCacheMiss; misses = 2 +ShortestPathCacheMiss; misses = 2 ``` ## 10. Evaluators **In plain words.** The evaluators answer questions about a model without touching your ledgers. -`capacity` asks how much one model can carry between two node sets by placing an unlimited -request on a fresh, empty ledger. `batch_capacity` asks that for many pairs. `sensitivity` asks, -for each link, how much the answer drops when that link is removed. A fresh ledger means these -answers can differ from placing into a ledger that other demands already occupy. +`evaluate_demand` asks how much one model carries between two node sets on a fresh, empty ledger, +either as much as possible or at a given offer. `evaluate_pairs` asks that for many independent +pairs. `evaluate_edge_failures` asks, for each link, how much the answer drops when that link is +removed, at the same offer. A fresh ledger means these answers can differ from placing into a +ledger that other demands already occupy: to ask about a loaded network, use `FlowPolicy.evaluate` +on a ledger with that load. **Exact rules.** -- **`QueryOptions(config, *, elig=None, cache=None, outputs=None, design_demand=None, - offered=None)`** is the one options type of the three evaluators: the configuration, the static - Eligibility (`None`: everything allowed), the DagCache (`None`: a private cache per worker), the - optional outputs of each result (`sensitivity`: of its baseline), the tunnel models' design - (`design_demand`) - and the Lossy offer (`offered`), each an integer in `[0, 2^62)` or `float('inf')` (else - ` must be an integer in [0, 2^62) or permitted +inf`). -- **`capacity(graph, sources, destinations, opts)`** is `place(float('inf'))` of a `FlowPolicy` - with `opts.config` on a fresh ledger of the graph, and returns its `PlacementResult`; `Pinned` - Lossy places `place(offered)` instead. The offer rules, checked with the arguments: `Pinned` - Lossy requires a finite `offered` (`Pinned LOSSY capacity requires finite offered`); `CostOnly` - Lossy is the first-hop experiment and takes none (`CostOnly LOSSY capacity uses first-hop - injection`); every Lossless configuration takes none (` LOSSLESS capacity does not accept - offered`, the model `CostOnly`, `Global`, `Pinned`, `T1` or `T2`). **T1** evaluates its design - instead: `evaluate(float('inf'), design_demand=D)` Lossless (the lossless bound of the tunnels set - up for D), `evaluate(offered, design_demand=D)` Lossy. Its design is always required (`T1 capacity - requires design_demand`) and finite (`T1 requires a finite design demand`), in both admissions - (the scalar rule "`None` means the offer" does not apply here); Lossy also requires a finite - `offered` (`T1 LOSSY capacity requires finite offered`). **T2** evaluates its design too: - Lossless `evaluate(float('inf'), design_demand=D)`, the lossless bound of the layout for D, an - absent design meaning unlimited; Lossy `evaluate(offered, design_demand=D)`, an absent design - meaning the offered amount and an absent `offered` the design when it is finite (`T2 LOSSY - capacity requires finite offered` when neither is, and for an explicit `offered=float('inf')` - whatever the design). Every other routing rejects a design - (` does not accept design_demand`). The order: `offered`'s domain, the design's domain, - the routing accepts a design, T1's design given, finite, then the offer rules above. The exact maximum flow is the configuration - `Global()` (its default origin is `OPTIMIZED`): its result carries the marginal cost curve and, - with `OutputOptions(min_cut=True)`, the minimum cut. With `EQUAL` origin it is the largest total - whose equal shares all fit. -- **`batch_capacity(graph, pairs, opts, per_pair_elig=None, workers=None)`** runs `capacity` for - each `(sources, destinations)` pair and returns the results in pair order. Pair `i` uses - `opts.elig` intersected with `per_pair_elig[i]` (entries may be `None`; a given list has one - entry per pair). Everything is validated before any worker starts: first the arguments (the - worker count, the graph of `opts.elig` and of the cache, the cache rule, `Pinned`, which is - rejected because a program fixes its endpoints (`batch_capacity does not accept Pinned`), the - configuration, the design and offer rules of `capacity`, then the length of - `per_pair_elig`), then each pair completely (its endpoint sets, their overlap, its - Eligibility's graph, the pooled single-path rule of [section 7](#configuration) for its - sources) in pair order, so the error of the lowest failing pair is the one raised. - An empty batch returns `[]`. Nothing is shared between pairs: each sets up and places on its own - fresh ledger, holds included. -- **`sensitivity(graph, sources, destinations, opts, workers=None)`** returns a `SensitivityResult`: `baseline` (the result of - `capacity`, with the requested outputs) and `entries`, one `SensitivityEntry(edge, loss)` per - candidate edge, in ascending EdgeId. - - **Candidates.** With unrestricted `Global` and `OPTIMIZED` origin: the edges that carry flow - in the baseline (removing an edge without flow cannot lower a maximum flow). With every other - configuration, `EQUAL` origin included: every allowed edge, whatever its capacity (an edge of - capacity 0 can carry a route and keep a source in the roster, so deleting it can change the - result either way). An edge without an entry has loss 0. - - **Loss** is `baseline.placed` minus the `placed` of `capacity` with that edge also excluded, - in units, signed and never rounded or thresholded. A negative loss means the model carries - more without the edge (for example, equal splitting no longer sends a share down a thin - path, or a source behind it no longer holds the equal origin back). Unrestricted `Global` with - `OPTIMIZED` origin computes each deletion by repairing a copy of the baseline's solve, which - gives exactly the value of a fresh solve; with `EQUAL` origin or a support each deletion is - solved afresh. T1 sets up again for the same design under each deletion, T2 redoes its - sizing, count selection and objectives (every allowed edge is a candidate; deleting an edge of - capacity 0 can take a head out of the roster and raise the total). `Pinned` replays the same program under each deletion (a fixed-route failure - question, not a new optimum): deleting an edge of a tunnel fails that tunnel. `CostOnly` - gives loss 0 without recomputation to an edge outside the static shortest-path support - reachable from the roster sources (no route can use it); these are equivalent forms of the - same definition. - - **Cache.** Each deletion uses a new Eligibility uid, so a `CostOnly` deletion that has to - be placed raises `DagCacheMiss` through a frozen cache. The other routing modes reject a +- **`EvaluationOptions(config, *, eligibility=None, cache=None, outputs=None, design_demand=None, + offer=None)`** is the one options type of the three evaluators: the configuration, the static + Eligibility (`None`: everything allowed), the `ShortestPathCache` (`None`: a private cache per + worker), the optional outputs of each result (`evaluate_edge_failures`: of its baseline), the + tunnel models' design (`design_demand`) and the `offer`. The design and the offer are kept as + given (an `int` or a float; another type, a `bool` or a string, raises `TypeError` at + construction); the evaluator checks them. +- **A finite offer for every model.** `offer`, when given, is a finite integer in `[0, 2^62)` for + every model under each admission it supports, in all three evaluators: the offer of every pair, + of the baseline and of every failed network. Each evaluation computes the same amounts as a + fresh policy's `evaluate(offer, design_demand=...)`: Lossless delivers up to the offer, Lossy + accounts for exactly that offer. An absent offer is the uncapped Lossless question or, only for + `ShortestPaths` `EQUAL`/`WEIGHTED` with Lossy, the first-hop experiment. + + | Model | Lossless | Lossy | + | --- | --- | --- | + | `ShortestPaths` `EQUAL` / `WEIGHTED` | `offer` `None`: the uncapped bound; finite: delivery up to it | `offer` finite: that offer; `None`: the first-hop experiment | + | `ShortestPaths` `OPTIMIZED`, `CentralizedTE` without a tunnel count | `offer` `None`: the uncapped optimum; finite: the optimum up to it | refused by the matrix | + | T1 | `design_demand` required and finite; `offer` `None`: the lossless bound of those tunnels; finite: up to it | `design_demand` required and finite; `offer` required | + | T2 | `design_demand` `None`: the offer if it is finite, else unlimited; `offer` `None`: the bound at that design | `offer` finite; `None`: the design if finite, else an error | + | `Pinned` | `offer` `None`: the fixed-program bound; finite: up to it | `offer` required | + +- **Validation order** (before any worker starts): the policy's construction checks (the + configuration, [section 7](#configuration)); then an explicitly given offer (`offer must be an + integer in [0, 2^62)`, an explicit `float('inf')` included); then the design: only T1 and T2 + take one (` does not accept design_demand`, checked before its range), in `[0, 2^62)` or + `float('inf')` (`design_demand must be an integer in [0, 2^62) or permitted +inf`), T1's finite + (`DistributedTE requires a finite design demand`); then T1's missing design (`DistributedTE + evaluation requires design_demand`); then the missing Lossy offer (`DistributedTE LOSSY + evaluation requires a finite offer`, `Pinned LOSSY evaluation requires a finite offer`, and + `CentralizedTE LOSSY evaluation requires a finite offer` for T2 when no finite design gives one). + The model in these texts is the class name, T2 included. +- **`evaluate_demand(graph, sources, destinations, options)`** evaluates a `FlowPolicy` with + `options.config` on a fresh ledger of the graph and returns its `PlacementResult`; it commits + nothing anywhere. The exact maximum flow is the configuration + `CentralizedTE(source_allocation=OPTIMIZED)`: its result carries the marginal cost curve and, + with `OutputOptions(min_cut=True)`, the minimum cut. With `EQUAL` source allocation it is the + largest total whose equal shares all fit. +- **`evaluate_pairs(graph, pairs, options, per_pair_eligibility=None, workers=None)`** runs + `evaluate_demand` for each `(sources, destinations)` pair and returns the results in pair + order. Nothing is shared between pairs (no reservations, no capacity): the results are + independent capacities, not allocations that coexist; demands that share capacity are policies + on one ledger. Pair `i` uses `options.eligibility` intersected with `per_pair_eligibility[i]` + (entries may be `None`; a given list has one entry per pair). Everything is validated before any + worker starts: first the arguments (the worker count, the graph of `options.eligibility` and of + the cache, the cache rule, `Pinned`, which is rejected because a program fixes its endpoints + (`evaluate_pairs does not accept Pinned`), the configuration, the offer and design rules above, + then the length of `per_pair_eligibility`), then each pair completely (its endpoint sets, their + overlap, its Eligibility's graph, the pooled single-path rule of [section 7](#configuration) and + T2's several-sources rule for its sources) in pair order, so the error of the lowest failing + pair is the one raised. An empty batch returns `[]`. +- **`evaluate_edge_failures(graph, sources, destinations, options, workers=None)`** returns a + `SensitivityResult`: `baseline` (the result of `evaluate_demand`, with the requested outputs) + and `entries`, one `SensitivityEntry(edge, delivery_reduction)` per candidate edge, in ascending + EdgeId. + - **Candidates.** With unrestricted `CentralizedTE` and `OPTIMIZED` source allocation: the edges + that carry flow in the baseline (removing an edge without flow keeps the baseline feasible, so + the delivery stays, at any offer). With every other configuration, `EQUAL` source allocation + included: every allowed edge, + whatever its capacity (an edge of capacity 0 can carry a route and keep a source in the + roster, so deleting it can change the result either way). An edge without an entry has + reduction 0. + - **`delivery_reduction`** is `baseline.delivered` minus the delivery of `evaluate_demand` with + that edge also excluded, at the same offer and design, in units, signed and never rounded or + thresholded. It is not the traffic the deleted edge carried. A negative value means the model + carries more without the edge (for example, equal splitting no longer sends a share down a + thin path, or a source behind it no longer holds the equal allocation back). Unrestricted + `CentralizedTE` with `OPTIMIZED` source allocation, when its baseline is a maximum flow (no + offer, or an offer above what it delivers), computes each deletion by repairing a copy of the + baseline's solve, which gives exactly the value of a fresh solve; at an offer the baseline + delivers (the offer binds, perhaps below the maximum), and with `EQUAL` source allocation or a + support, each deletion is solved afresh. T1 sets up again for the same design + under each deletion; T2 redoes its sizing, count choice and objectives, on the same + supplied support when there is one. `Pinned` replays the same program under each deletion (a + repaired fixed-route question, not a new optimum and not stale forwarding): deleting an edge of + a tunnel fails that tunnel. `ShortestPaths` gives reduction 0 without recomputation to an edge + outside the static shortest-path support reachable from the roster sources (no route can use + it); these are equivalent forms of the same definition. + - **Cache.** Each deletion uses a new Eligibility uid, so a `ShortestPaths` deletion that has to + be placed raises `ShortestPathCacheMiss` through a frozen cache. The other models reject a supplied cache. Private caches are cleared between candidates. - **Workers.** An explicit `workers` (an integer of at least 1) is always honoured; the evaluator uses at most one thread per pair or candidate. With `workers=None` the default is 1 @@ -1890,33 +2185,73 @@ answers can differ from placing into a ledger that other demands already occupy. | Variable | Default worker count of | Accepted values | | --- | --- | --- | - | `NGRAPH_CORE_BATCH_THREADS` | `batch_capacity` | an integer in `[1, 4096]`; unset or anything else means 1 | - | `NGRAPH_CORE_SENSITIVITY_THREADS` | `sensitivity` | the same | + | `NGRAPH_CORE_BATCH_THREADS` | `evaluate_pairs` | an integer in `[1, 4096]`; unset or anything else means 1 | + | `NGRAPH_CORE_SENSITIVITY_THREADS` | `evaluate_edge_failures` | the same | The variables only supply defaults; they never override an explicit `workers`. The C++ functions take the worker count as an explicit argument. - **Failures** follow [section 8](#8-failures-threads-and-lifetimes): a failed evaluator call raises (also a solve beyond the flow core's size limit of [section 2](#2-the-graph), with - `Global` or `MAX_FLOW`), and a failed deletion fails the whole `sensitivity` call (the - exception of the lowest failing candidate; no entry is returned); a supplied building cache - keeps the entries of the lookups that succeeded before the failure; a supplied frozen cache's - statistics are unchanged, except one miss when the call raises `DagCacheMiss`. + `CentralizedTE` or `OPTIMIZED`), and a failed deletion fails the whole call (the exception of the + lowest failing candidate; no entry is returned); a supplied building cache keeps the entries of + the lookups that succeeded before the failure; a supplied frozen cache's statistics are + unchanged, except one miss when the call raises `ShortestPathCacheMiss`. ```python g = graph(4, [(0, 1, 10, 1), (1, 3, 10, 1), (0, 2, 2, 1), (2, 3, 2, 1)]) -for name, cfg in (("CostOnly", config(ngc.CostOnly())), - ("Global", ngc.FlowPolicyConfig(routing=ngc.Global()))): - s = ngc.sensitivity(g, 0, 3, ngc.QueryOptions(cfg)) - print(name, s.baseline.placed, [(e.edge, e.loss) for e in s.entries]) +for name, cfg in (("ShortestPaths", config(ngc.ShortestPaths())), + ("CentralizedTE", ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.OPTIMIZED)))): + s = ngc.evaluate_edge_failures(g, 0, 3, ngc.EvaluationOptions(cfg)) + print(name, s.baseline.call_delivered, [(e.edge, e.delivery_reduction) for e in s.entries]) ``` ```text -CostOnly 5 [(0, 3), (1, -5), (2, 3), (3, -5)] -Global 12 [(0, 10), (1, 2), (2, 10), (3, 2)] +ShortestPaths 5 [(0, 3), (1, -5), (2, 3), (3, -5)] +CentralizedTE 12 [(0, 10), (1, 2), (2, 10), (3, 2)] ``` Under equal splitting the thin path (edges 1 and 3) holds the whole diamond back to 5 units; -without it the wide path alone carries 10, a loss of -5. +without it the wide path alone carries 10, a reduction of -5. + +A failure study at a fixed offer, against the first-hop experiment: two parallel links of 10, ECMP, +Lossy. With an offer of 4 every network delivers 4; without an offer the experiment injects each +remaining link's capacity, 20 before a deletion and 10 after, a different question: + +```python +g = graph(2, [(0, 1, 10, 1), (0, 1, 10, 1)]) +lossy = config(ngc.ShortestPaths(), admission=ngc.Admission.LOSSY) +for offer in (4, None): + s = ngc.evaluate_edge_failures(g, 0, 1, ngc.EvaluationOptions(lossy, offer=offer)) + print(offer, s.baseline.call_delivered, [e.delivery_reduction for e in s.entries]) +try: + ngc.evaluate_demand(g, 0, 1, ngc.EvaluationOptions(lossy, offer=float("inf"))) +except ValueError as error: + print(error) +``` + +```text +4 4 [0, 0] +None 20 [10, 10] +offer must be an integer in [0, 2^62) +``` + +### Limits + +- **One route allocation per program.** A program applies one route allocation at every router. + Weighted ingress above routers that should split equally is expressible exactly when every + member of those downstream equal splits has positive static capacity: give each member of such a + split the same positive `EXPLICIT` weight, since `H(x, [w] * k) = RR(x, k)` for any positive `w`. + A downstream equal split with a zero-capacity member differs (`WEIGHTED` prunes that member, + `EQUAL` keeps it) and is not expressible. +- **Certificates and exports.** The public optimality certificates are `min_cut` and + `marginal_cost_curve` of unrestricted optimized `CentralizedTE`. A program has no serialized + form for moving it between processes, and its per-router tables are not exported. +- **Not modelled:** traffic classes and priority queues, RSVP setup and holding priorities and + preemption, bandwidth policing, automatically disjoint or SRLG-diverse tunnels, a stretch + baseline per head inside one pooled T1 demand, growth of a tunnel count over time, and a joint + optimum or joint bound over several demands. Per-pair offers, designs or configurations are + separate `evaluate_demand` calls, and a study of the three failure states is a loop of the + caller's. ## 11. C++ names @@ -1927,30 +2262,34 @@ self-contained: | --- | --- | | `netgraph/core/types.hpp` | `NodeId`, `EdgeId` (`int32`), the cost and amount aliases (`int64`), `kDomainLimit` (`2^62`), `kUnreachable` | | `netgraph/core/graph.hpp` | `Graph`, `to_units`, `as_float` | -| `netgraph/core/eligibility.hpp` | `Eligibility` | -| `netgraph/core/pred_dag.hpp` | `PredDAG`, `Path` | -| `netgraph/core/options.hpp` | `Direction`, `Absolute`, `Stretch`, `EdgeTieBreak`, `EdgePriority`, `PathSelection`, `FlowPlacement`, `Admission`, `Origin`, `WeightBasis` | -| `netgraph/core/program.hpp` | `ForwardingProgram`, `Tunnel`, `TunnelStatus`, `Route`, `RouteOptions` (the options of `from_routes`) | +| `netgraph/core/eligibility.hpp` | `Eligibility` (`allows_node`, `allows_edge`) | +| `netgraph/core/route_structures.hpp` | `PredecessorDAG`, `Path` | +| `netgraph/core/options.hpp` | `Direction`, `AbsoluteCost`, `CostStretch`, `RouteTieBreak`, `RouteAllocation`, `WeightBasis`, `Admission`, `SourceAllocation` | +| `netgraph/core/forwarding_program.hpp` | `ForwardingProgram` (`from_routes`, `from_dag`), `Tunnel`, `TunnelStatus`, `RouteDefinition`, `RouteOptions` (the options of `from_routes` and `from_dag`) | | `netgraph/core/search.hpp` | `spf`, `ksp`, `resolve_to_paths`, `SpfOptions`, `SpfResult`, `KspOptions`, `SpfQueue` | | `netgraph/core/flow_record.hpp` | `FlowId`, `Counter128` (the 128-bit cumulative counter), `FlowRecord` | | `netgraph/core/flow_ledger.hpp` | `FlowLedger` | -| `netgraph/core/flow_policy.hpp` | `FlowPolicy`, its configuration (`CapacityAware`, `Global`, `Tunnels` among them) and result types (`SourceFlow`, `TunnelFlow` and `TunnelPlan` among them), `Termination` | -| `netgraph/core/dag_cache.hpp` | `DagCache`, `DagCacheMiss` | -| `netgraph/core/evaluators.hpp` | `capacity`, `batch_capacity`, `sensitivity` and their option and result types | +| `netgraph/core/flow_policy.hpp` | `FlowPolicy`, its configuration (`FlowPolicyConfig`, `ShortestPaths`, `DistributedTE`, `CentralizedTE`, `Pinned`, `TunnelCount`, `OutputOptions`) and result types (`PlacementResult`, `SourceFlow`, `TunnelFlow`, `TunnelPlan`), `Termination` | +| `netgraph/core/shortest_path_cache.hpp` | `ShortestPathCache`, `ShortestPathCacheMiss` | +| `netgraph/core/evaluators.hpp` | `evaluate_demand`, `evaluate_pairs`, `evaluate_edge_failures`, `EvaluationOptions`, `SensitivityEntry`, `SensitivityResult` | Spelling differences: Python enum members and constants are upper case -(`EdgeTieBreak.DETERMINISTIC`, `UNREACHABLE`), C++ enumerators are capitalised -(`EdgeTieBreak::Deterministic`) and C++ constants carry a `k` prefix (`kUnreachable`). Where Python returns `None` for an unreachable cost (`target_cost`, `route_cost`), -C++ returns `kUnreachable`; an infinite request is an empty `std::optional` volume, and its -`remaining` and `requested` are empty too. An optional field that Python reports as `None` -(`placement`, `selection`, `origin` and `weights` of a configuration, `PathSelection.multipath`, -`offered`, `unadmitted`, `total_cost`, `cost_distribution`, `plan` and T2's fields of a -`TunnelPlan`, `Global.tunnels`, `FlowRecord.entry`, a down tunnel's `destination`, `edges` and -`route_cost`, the optional outputs) is an empty `std::optional` in C++; `fluid_share` is a -reduced `(numerator, denominator)` pair, `route_cost` and `headroom_penalty` are `Counter128`; a `design_demand` (of `evaluate`, `replace` and `QueryOptions`) is a -`std::optional>`, absent for `None` and an empty inner value for -`float('inf')`; and a `None` program, support or black holes a null `std::shared_ptr` -(`edge_weights` is a shared array, `std::shared_ptr>`); the epoch's amounts -are `Counter128` values. A Python `ValueError` is a `std::invalid_argument` in C++. `spf` takes a -trailing C++-only `SpfQueue` argument that chooses the search's internal queue; the results never -depend on it. +(`RouteTieBreak.FEWER_HOPS`, `UNREACHABLE`), C++ enumerators are the same words in PascalCase +(`RouteTieBreak::FewerHops`, `RouteAllocation::Optimized`) and C++ constants carry a `k` prefix +(`kUnreachable`). Where Python returns `None` for an unreachable cost (`target_cost`, +`min_route_cost`), C++ returns `kUnreachable`; an infinite offer is an empty `std::optional`, and +its `call_undelivered` and `requested` are empty too. An optional field that Python reports as +`None` (`ShortestPaths`' `source_allocation` and `weight_basis` before resolution, `offered`, +`unadmitted`, `total_cost`, `marginal_cost_curve`, `plan` and T2's fields of a `TunnelPlan`, +`CentralizedTE`'s `tunnel_count`, `FlowRecord.entry_id`, a down tunnel's `destination`, `edges` +and `path_cost`, the optional outputs) is an empty `std::optional` in C++; +`max_fractional_bandwidth_per_tunnel` is a reduced `(numerator, denominator)` pair, +`total_tunnel_cost` and `headroom_penalty` are `Counter128`; `CostStretch` is constructed from a +numerator and a denominator (reduced on construction, `numerator()` and `denominator()`); a +`design_demand` or an evaluator's `offer` is a `std::optional>`, absent for +`None` and an empty inner value for `float('inf')`; and a `None` program, support or black holes +a null `std::shared_ptr` (`edge_weights` is a shared array, `std::shared_ptr>`). `CentralizedTE` has no default constructor: it is built from its +`SourceAllocation`. The epoch's amounts are `Counter128` values. A Python `ValueError` is a +`std::invalid_argument` in C++. `spf` takes a trailing C++-only `SpfQueue` argument that chooses +the search's internal queue; the results never depend on it. diff --git a/include/netgraph/core/detail/cache_access.hpp b/include/netgraph/core/detail/cache_access.hpp index 82687e7..ccb70a4 100644 --- a/include/netgraph/core/detail/cache_access.hpp +++ b/include/netgraph/core/detail/cache_access.hpp @@ -1,4 +1,4 @@ -/* Internal access to a DagCache: its mode (the evaluators' rule for a supplied cache) and the +/* Internal access to a ShortestPathCache: its mode (the evaluators' rule for a supplied cache) and the frozen statistics of one public call. */ #pragma once @@ -9,72 +9,72 @@ #include #include -#include "netgraph/core/dag_cache.hpp" +#include "netgraph/core/shortest_path_cache.hpp" namespace netgraph::core::detail { -class FrozenTally; +class FrozenCacheHitTally; struct DagCacheAccess { // Whether the cache is frozen (a frozen cache may be shared by every worker). - [[nodiscard]] static bool frozen(const DagCache& cache) noexcept { return cache.frozen_; } - // A lookup inside a public call (FrozenTally): a frozen hit is recorded in `tally` instead of + [[nodiscard]] static bool frozen(const ShortestPathCache& cache) noexcept { return cache.frozen_; } + // A lookup inside a public call (FrozenCacheHitTally): a frozen hit is recorded in `tally` instead of // the cache, a frozen miss is counted by the call's boundary (frozen_call); a building cache - // counts at once, as DagCache::lookup does. - [[nodiscard]] static std::shared_ptr lookup(DagCache& cache, const Graph& g, + // counts at once, as ShortestPathCache::lookup does. + [[nodiscard]] static std::shared_ptr lookup(ShortestPathCache& cache, const Graph& graph, std::span roots, Direction direction, - const Eligibility* elig, FrozenTally& tally) { - return cache.lookup_in_call(g, roots, direction, elig, &tally); + const Eligibility* eligibility, FrozenCacheHitTally& tally) { + return cache.lookup_in_call(graph, roots, direction, eligibility, &tally); } - static void add_hits(DagCache& cache, std::int64_t n) noexcept { + static void add_hits(ShortestPathCache& cache, std::int64_t n) noexcept { cache.hits_.fetch_add(n, std::memory_order_relaxed); } - static void add_miss(DagCache& cache) noexcept { cache.misses_.fetch_add(1, std::memory_order_relaxed); } + static void add_miss(ShortestPathCache& cache) noexcept { cache.misses_.fetch_add(1, std::memory_order_relaxed); } }; // Collect one public call's frozen-cache hits here; publish them only after all fallible work, -// including the Python result, succeeds. Failure discards the hits, except that DagCacheMiss +// including the Python result, succeeds. Failure discards the hits, except that ShortestPathCacheMiss // records one miss regardless of its workers' lookups. A building cache keeps its statistics // even on failure. Workers share this call's atomic tally; separate calls have separate // tallies, so concurrent successful calls keep all their increments. -class FrozenTally { +class FrozenCacheHitTally { public: - explicit FrozenTally(DagCache* cache) noexcept : cache_(cache) {} - FrozenTally(const FrozenTally&) = delete; - FrozenTally& operator=(const FrozenTally&) = delete; - ~FrozenTally() = default; + explicit FrozenCacheHitTally(ShortestPathCache* cache) noexcept : cache_(cache) {} + FrozenCacheHitTally(const FrozenCacheHitTally&) = delete; + FrozenCacheHitTally& operator=(const FrozenCacheHitTally&) = delete; + ~FrozenCacheHitTally() = default; - [[nodiscard]] const DagCache* cache() const noexcept { return cache_; } + [[nodiscard]] const ShortestPathCache* cache() const noexcept { return cache_; } void hit() noexcept { hits_.fetch_add(1, std::memory_order_relaxed); } // The call succeeded: its hits reach the cache (one atomic addition, cannot fail). void publish() noexcept { const auto n = hits_.exchange(0, std::memory_order_relaxed); if (cache_ != nullptr && n != 0) DagCacheAccess::add_hits(*cache_, n); } - // The call raises DagCacheMiss: one miss; its hits are dropped. + // The call raises ShortestPathCacheMiss: one miss; its hits are dropped. void miss() noexcept { if (cache_ != nullptr) DagCacheAccess::add_miss(*cache_); } private: - DagCache* cache_; + ShortestPathCache* cache_; std::atomic hits_ {0}; }; // Runs body(tally) as one public call on `cache` (the supplied cache, or null): publishes the // recorded hits once body has returned (its last failing step: body builds the call's result, // the Python object included) and returns body's value, which then moves without failing; when -// body throws, nothing is published, except one miss for a DagCacheMiss. +// body throws, nothing is published, except one miss for a ShortestPathCacheMiss. template -auto frozen_call(DagCache* cache, Body&& body) -> decltype(std::forward(body)(std::declval())) { - using Result = decltype(std::forward(body)(std::declval())); +auto frozen_call(ShortestPathCache* cache, Body&& body) -> decltype(std::forward(body)(std::declval())) { + using Result = decltype(std::forward(body)(std::declval())); static_assert(std::is_nothrow_move_constructible_v, "the result moves out after the publication"); - FrozenTally tally(cache); + FrozenCacheHitTally tally(cache); try { Result result = std::forward(body)(tally); tally.publish(); return result; - } catch (const DagCacheMiss&) { + } catch (const ShortestPathCacheMiss&) { tally.miss(); throw; } diff --git a/include/netgraph/core/detail/edge_amounts.hpp b/include/netgraph/core/detail/edge_amounts.hpp index 98f6f1b..98dfa85 100644 --- a/include/netgraph/core/detail/edge_amounts.hpp +++ b/include/netgraph/core/detail/edge_amounts.hpp @@ -13,11 +13,11 @@ namespace netgraph::core::detail { -// std::invalid_argument unless `amounts` has one entry per edge of g, each in -// [0, capacity_units]: the length first, then the first entry outside, in EdgeId order. `label` +// std::invalid_argument unless `amounts` has one entry per edge of graph, each in +// [0, the edge's capacity]: the length first, then the first entry outside, in EdgeId order. `label` // names the array in the message ("residual", "view"). -inline void check_edge_amounts(const Graph& g, std::span amounts, const char* label) { - const auto capacity = g.capacity_units(); +inline void check_edge_amounts(const Graph& graph, std::span amounts, const char* label) { + const auto capacity = graph.edge_capacity_units(); if (amounts.size() != capacity.size()) { throw std::invalid_argument(std::string(label) + " has length " + std::to_string(amounts.size()) + ", expected " + std::to_string(capacity.size()) + " (one entry per edge)"); @@ -25,7 +25,7 @@ inline void check_edge_amounts(const Graph& g, std::span amounts, for (std::size_t e = 0; e < amounts.size(); ++e) { if (amounts[e] < 0 || amounts[e] > capacity[e]) { throw std::invalid_argument(std::string(label) + "[" + std::to_string(e) + "] = " + std::to_string(amounts[e]) + - " is outside [0, capacity_units[" + std::to_string(e) + "] = " + + " is outside [0, edge_capacity_units[" + std::to_string(e) + "] = " + std::to_string(capacity[e]) + "]"); } } diff --git a/include/netgraph/core/detail/enum_domain.hpp b/include/netgraph/core/detail/enum_domain.hpp index f88d52e..44a887c 100644 --- a/include/netgraph/core/detail/enum_domain.hpp +++ b/include/netgraph/core/detail/enum_domain.hpp @@ -16,13 +16,13 @@ namespace netgraph::core::detail { throw std::invalid_argument(std::string(field) + ": " + std::to_string(value) + " is not a value of " + enumeration); } -inline void check_member(FlowPlacement v, const char* field) { +inline void check_member(RouteAllocation v, const char* field) { switch (v) { - case FlowPlacement::MaxFlow: - case FlowPlacement::Weighted: - case FlowPlacement::EqualBalanced: return; + case RouteAllocation::Equal: + case RouteAllocation::Weighted: + case RouteAllocation::Optimized: return; } - not_a_member(field, static_cast(v), "FlowPlacement"); + not_a_member(field, static_cast(v), "RouteAllocation"); } inline void check_member(Admission v, const char* field) { @@ -33,12 +33,12 @@ inline void check_member(Admission v, const char* field) { not_a_member(field, static_cast(v), "Admission"); } -inline void check_member(Origin v, const char* field) { +inline void check_member(SourceAllocation v, const char* field) { switch (v) { - case Origin::Equal: - case Origin::Optimized: return; + case SourceAllocation::Equal: + case SourceAllocation::Optimized: return; } - not_a_member(field, static_cast(v), "Origin"); + not_a_member(field, static_cast(v), "SourceAllocation"); } inline void check_member(WeightBasis v, const char* field) { @@ -50,21 +50,14 @@ inline void check_member(WeightBasis v, const char* field) { not_a_member(field, static_cast(v), "WeightBasis"); } -inline void check_member(EdgeTieBreak v, const char* field) { +inline void check_member(RouteTieBreak v, const char* field) { switch (v) { - case EdgeTieBreak::Deterministic: - case EdgeTieBreak::PreferHigherPriority: return; + case RouteTieBreak::FewerHops: + case RouteTieBreak::HigherCapacity: + case RouteTieBreak::HigherAvailableCapacity: + case RouteTieBreak::HigherHeadroom: return; } - not_a_member(field, static_cast(v), "EdgeTieBreak"); -} - -inline void check_member(EdgePriority v, const char* field) { - switch (v) { - case EdgePriority::Residual: - case EdgePriority::Capacity: - case EdgePriority::Headroom: return; - } - not_a_member(field, static_cast(v), "EdgePriority"); + not_a_member(field, static_cast(v), "RouteTieBreak"); } inline void check_member(Direction v, const char* field) { @@ -83,10 +76,4 @@ inline void check_member(SpfQueue v, const char* field) { not_a_member(field, static_cast(v), "SpfQueue"); } -// The two enum-typed fields of a selection. -inline void check_selection(const PathSelection& selection) { - check_member(selection.tie_break, "selection.tie_break"); - check_member(selection.priority, "selection.priority"); -} - } // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/evaluator_checks.hpp b/include/netgraph/core/detail/evaluator_checks.hpp index 60cb00b..491e3ab 100644 --- a/include/netgraph/core/detail/evaluator_checks.hpp +++ b/include/netgraph/core/detail/evaluator_checks.hpp @@ -16,31 +16,31 @@ namespace netgraph::core::detail { -// batch_capacity's validation in its two parts: the arguments (workers, foreign objects, the +// evaluate_pairs's validation in its two parts: the arguments (workers, foreign objects, the // cache rule, Pinned, the configuration), then one pair (its endpoint sets, their overlap, its // Eligibility's graph, the pooled single-path rule for its source count), the pairs in index // order. -void check_batch_arguments(const Graph& g, const QueryOptions& opts, std::int32_t workers); -void check_batch_pair(const Graph& g, const FlowPolicyConfig& cfg, std::span sources, - std::span destinations, const Eligibility* elig, std::size_t index); +void check_batch_arguments(const Graph& graph, const EvaluationOptions& options, std::int32_t workers); +void check_batch_pair(const Graph& graph, const FlowPolicyConfig& config, std::span sources, + std::span destinations, const Eligibility* eligibility, std::size_t index); // The evaluators' default worker count from the environment (NGRAPH_CORE_BATCH_THREADS for -// batch_capacity, NGRAPH_CORE_SENSITIVITY_THREADS for sensitivity): an integer in [1, 4096], +// evaluate_pairs, NGRAPH_CORE_SENSITIVITY_THREADS for evaluate_edge_failures): an integer in [1, 4096], // else 1. An explicit workers >= 1 is always honoured; the environment supplies defaults only. -std::int32_t default_workers(bool sensitivity) noexcept; +std::int32_t default_workers(bool edge_failures) noexcept; -// The evaluators inside a public call: as capacity, batch_capacity and sensitivity, with a +// The evaluators inside a public call: as evaluate_demand, evaluate_pairs and evaluate_edge_failures, with a // supplied frozen cache's hits recorded in `tally` and nothing published. The public evaluators // are frozen_call over these; the Python binding runs frozen_call over these and the construction // of its result object, so the hits count only once that object exists. -PlacementResult capacity_in_call(const Graph& g, std::span sources, - std::span destinations, const QueryOptions& opts, FrozenTally& tally); -std::vector batch_capacity_in_call( - const Graph& g, const std::vector, std::vector>>& pairs, - const QueryOptions& opts, std::span per_pair_elig, std::int32_t workers, - FrozenTally& tally); -SensitivityResult sensitivity_in_call(const Graph& g, std::span sources, - std::span destinations, const QueryOptions& opts, - std::int32_t workers, FrozenTally& tally); +PlacementResult evaluate_demand_in_call(const Graph& graph, std::span sources, + std::span destinations, const EvaluationOptions& options, FrozenCacheHitTally& tally); +std::vector evaluate_pairs_in_call( + const Graph& graph, const std::vector, std::vector>>& pairs, + const EvaluationOptions& options, std::span per_pair_eligibility, std::int32_t workers, + FrozenCacheHitTally& tally); +SensitivityResult evaluate_edge_failures_in_call(const Graph& graph, std::span sources, + std::span destinations, const EvaluationOptions& options, + std::int32_t workers, FrozenCacheHitTally& tally); } // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/forwarding.hpp b/include/netgraph/core/detail/forwarding.hpp index a15736c..091da2e 100644 --- a/include/netgraph/core/detail/forwarding.hpp +++ b/include/netgraph/core/detail/forwarding.hpp @@ -1,10 +1,11 @@ /* The forwarding of a program (internal): one engine for every model that forwards a program - (CostOnly's own pooled program, a controller's paths through forward(), and Pinned). + (ShortestPaths's own pooled program, a controller's paths through forward(), and Pinned). A view is the program as one forwarding sees it: its replay under the forwarding policy's mask - (8.4: failed tunnels, split routes without their excluded members, the roster rebuilt from the - program's basis) and the black holes laid over it (8.6: they change no split; traffic reaching - one is dropped there, a black-holed head loses its own share at the source). + (docs/semantics.md, "Replay under a failure": failed tunnels, split routes without their excluded + members, the roster rebuilt from the program's basis) and the black holes laid over it ("Stale + forwarding": they change no split; traffic reaching one is dropped there, a black-holed head + loses its own share at the source). Injection: a total enters as round robin over the view's heads (equal sources) or by highest averages over their captured weights; each head splits its share by highest averages over its @@ -12,17 +13,17 @@ black-holed head, keeps its share and loses it at the source; an entry whose route has no member left (a Weighted route of weights 0) loses what it receives at the source too. - Lossless (8.3): the largest total in an interval whose no-drop loads fit the free capacity with + Lossless: the largest total in an interval whose no-drop loads fit the free capacity with no share lost at a source or on a black hole; the loads are monotone in the total (round robin and highest averages are house-monotone), so integer bisection is exact. - Lossy (9): the one evaluator of the loss rule. A link that receives more than its free capacity - V shares T = min(V, arrivals) by highest averages over the sources' arrivals, then within a - source over its entries'; A+ (9.2) forwards the no-drop loads U0 first, makes every link with + Lossy ("Losses inside one program"): the one evaluator of the loss rule. A link that receives + more than its free capacity V shares T = min(V, arrivals) by highest averages over the sources' arrivals, then within a + source over its entries'; A+ forwards the no-drop loads U0 first, makes every link with U0 <= V a pass-through and evaluates the other links (barriers) and the split routes' routers once each in dependency order; barriers that wait on each other in a cycle are iterated from - zero (9.4: serial normalization first, then rounds, 64 b rounds for b barriers, the period-two + zero (serial normalization first, then rounds, 64 b rounds for b barriers, the period-two and round-limit errors, the independent check of the whole result before anything is - returned). A pooled program (one split context: a CostOnly program, one supplied split route) + returned). A pooled program (one split context: a ShortestPaths program, one supplied split route) is forwarded by its plan's kernels, which are this rule for one acyclic context. */ #pragma once @@ -36,76 +37,76 @@ #include #include -#include "netgraph/core/detail/kernels.hpp" +#include "netgraph/core/detail/route_kernels.hpp" #include "netgraph/core/detail/program_data.hpp" #include "netgraph/core/eligibility.hpp" #include "netgraph/core/flow_record.hpp" #include "netgraph/core/graph.hpp" -#include "netgraph/core/program.hpp" +#include "netgraph/core/forwarding_program.hpp" namespace netgraph::core::detail { struct ForwardingView { std::shared_ptr program {}; const ProgramData* data {nullptr}; - // A borrowed view is the program's own state (no mask, no black holes, no record bundle to + // A borrowed view is the program's own state (no mask, no black holes, no record route to // make): every head of the roster injects, every entry is up with the program's route, cost and // plan, and the vectors below stay empty (the accessors read the program). Otherwise they hold // the replay: bool borrowed {false}; // The heads that inject (the replay roster, ascending NodeId) as roster slots; their captured // weights (empty: equal sources); black-holed heads. - std::vector slots_ {}; - std::vector weights_ {}; - std::vector dark_head_ {}; + std::vector source_indices_ {}; + std::vector source_weights_ {}; + std::vector blackholed_sources_ {}; // Per program entry: Failed (excluded by the mask, or a head outside the replay roster), // Blackholed (a tunnel whose path reaches a black hole), a down tunnel's setup status - // (NoBandwidth, CostCeiling) or Up; its route under the mask (the record's bundle; an empty DAG + // (NoBandwidth, CostCeiling) or Up; its route under the mask (the record's route; an empty DAG // when it failed or is down) and that route's cost. std::vector status_ {}; - std::vector> bundles_ {}; - std::vector costs_ {}; + std::vector> routes_ {}; + std::vector min_route_costs_ {}; // Per view head: its surviving entries (positions in data->entries, ascending index). - std::vector head_begin_ {}; - std::vector head_entries_ {}; + std::vector source_entry_offsets_ {}; + std::vector source_entry_positions_ {}; // The split contexts as forwarded (restricted to the mask; the program's plan when nothing is // removed) and per entry of a context its root's index in that plan's roots (-1 otherwise). - std::vector> plans_ {}; - std::vector root_of_ {}; + std::vector> prepared_routes_ {}; + std::vector context_source_indices_ {}; // Black holes: the nodes and edges this Eligibility excludes (null: none). - const Eligibility* dark {nullptr}; + const Eligibility* black_holes {nullptr}; // The pooled form: one context, one root per view head (equal sources, every entry weight // positive). Its plan is plan(0), its roots the view's heads in order. bool pooled {false}; - [[nodiscard]] std::size_t num_heads() const noexcept { return borrowed ? data->roster.size() : slots_.size(); } - [[nodiscard]] std::int32_t slot(std::size_t h) const noexcept { - return borrowed ? static_cast(h) : slots_[h]; + [[nodiscard]] std::size_t num_sources() const noexcept { return borrowed ? data->reachable_sources.size() : source_indices_.size(); } + [[nodiscard]] std::int32_t source_index(std::size_t h) const noexcept { + return borrowed ? static_cast(h) : source_indices_[h]; } - [[nodiscard]] NodeId head(std::size_t h) const noexcept { return data->roster[static_cast(slot(h))]; } - [[nodiscard]] std::span weights() const noexcept { - return borrowed ? std::span(data->head_weight) : std::span(weights_); + [[nodiscard]] NodeId source(std::size_t h) const noexcept { return data->reachable_sources[static_cast(source_index(h))]; } + [[nodiscard]] std::span source_weights() const noexcept { + return borrowed ? std::span(data->source_weight_values) : std::span(source_weights_); } - [[nodiscard]] bool dark_head(std::size_t h) const noexcept { return !dark_head_.empty() && dark_head_[h] != 0; } + [[nodiscard]] bool is_blackholed_source(std::size_t h) const noexcept { return !blackholed_sources_.empty() && blackholed_sources_[h] != 0; } // Entry e's status: a borrowed view's are the program's own (Up, or a down tunnel's setup status). [[nodiscard]] TunnelStatus status(std::size_t e) const noexcept { if (!borrowed) return status_[e]; - const auto t = data->entries[e].tunnel; + const auto t = data->entries[e].tunnel_position; return t < 0 ? TunnelStatus::Up : data->tunnels[static_cast(t)].status; } - [[nodiscard]] const std::shared_ptr& bundle(std::size_t e) const noexcept { - return borrowed ? data->entries[e].bundle : bundles_[e]; + [[nodiscard]] const std::shared_ptr& route(std::size_t e) const noexcept { + return borrowed ? data->entries[e].route : routes_[e]; } - [[nodiscard]] Cost cost(std::size_t e) const noexcept { return borrowed ? data->entries[e].cost : costs_[e]; } - [[nodiscard]] const std::shared_ptr& plan(std::size_t c) const noexcept { - return borrowed ? data->contexts[c].plan : plans_[c]; + [[nodiscard]] Cost min_route_cost(std::size_t e) const noexcept { return borrowed ? data->entries[e].min_route_cost : min_route_costs_[e]; } + [[nodiscard]] const std::shared_ptr& prepared_route(std::size_t c) const noexcept { + return borrowed ? data->split_contexts[c].prepared_route : prepared_routes_[c]; } // Entry e's root in its context's plan (-1 for a tunnel or a root the mask removed). - [[nodiscard]] std::int32_t root_of(std::size_t e) const noexcept { - if (!borrowed) return root_of_[e]; - const auto c = data->entries[e].context; + [[nodiscard]] std::int32_t context_source_index(std::size_t e) const noexcept { + if (!borrowed) return context_source_indices_[e]; + const auto c = data->entries[e].split_context_position; if (c < 0) return -1; - const auto& roots = data->contexts[static_cast(c)].root_entry; + const auto& roots = data->split_contexts[static_cast(c)].source_entry_positions; if (e < roots.size() && static_cast(roots[e]) == e) return static_cast(e); // pooled for (std::size_t r = 0; r < roots.size(); ++r) { if (static_cast(roots[r]) == e) return static_cast(r); @@ -113,20 +114,20 @@ struct ForwardingView { return -1; } // View head h's surviving entries, ascending index. - [[nodiscard]] std::span head_entries(std::size_t h) const noexcept { - if (borrowed) return data->entries_of(h); - const auto b = static_cast(head_begin_[h]); - return {head_entries_.data() + b, static_cast(head_begin_[h + 1]) - b}; + [[nodiscard]] std::span entries_for_source(std::size_t h) const noexcept { + if (borrowed) return data->entries_for_source(h); + const auto b = static_cast(source_entry_offsets_[h]); + return {source_entry_positions_.data() + b, static_cast(source_entry_offsets_[h + 1]) - b}; } }; // The view of `program` under the forwarding policy's mask `mask` (null: the program's own // state, nothing replayed) with `dests` the allowed destinations (ascending), and the black holes // `dark` (null or an all-allowed value: none; it must outlive the view). With `records`, every -// entry's route under the mask is made (a Pinned policy's record bundles); without, a tunnel's -// bundle stays null. -[[nodiscard]] ForwardingView make_view(const Graph& g, std::shared_ptr program, - const Eligibility* mask, std::span dests, +// entry's route under the mask is made (a Pinned policy's record routes); without, a tunnel's +// route stays null. +[[nodiscard]] ForwardingView make_forwarding_view(const Graph& graph, std::shared_ptr program, + const Eligibility* mask, std::span destinations, const Eligibility* dark, bool records = false); // The same view with other black holes (the program, its replay and its structure shared). [[nodiscard]] ForwardingView with_black_holes(const ForwardingView& view, const Eligibility* dark); @@ -137,9 +138,9 @@ struct ForwardingView { struct EntryFlow { Amount assigned {0}; Amount delivered {0}; - Amount lost {0}; - std::vector> carried {}; - std::vector> dropped {}; + Amount source_drops {0}; + std::vector> edge_flows {}; + std::vector> edge_drops {}; }; // A forwarding's outcome: the heads' injections (offered; with captured weights all 0 a total @@ -148,32 +149,32 @@ struct EntryFlow { // nothing) the part it lost itself (black-holed, or no surviving entry of positive weight); per // program entry its EntryFlow (zero for entries that receive nothing). struct ProgramFlow { - Amount total {0}; + Amount admitted {0}; Amount offered {0}; - Amount source_loss {0}; + Amount source_drops {0}; Amount delivered {0}; - std::vector head_offered {}; - std::vector head_lost {}; + std::vector offered_by_source {}; + std::vector source_drops_by_source {}; std::vector entries {}; }; // The free capacity of each of `edges` in the forwarding, into `out` (aligned; before black // holes, which the engine applies): one call per evaluation, not per edge. -using FreeFn = std::function edges, std::span out)>; +using AvailableCapacityFn = std::function edges, std::span out)>; // The heads' injections of a total x: round robin over the heads, or highest averages over the // captured weights. -void head_shares(const ForwardingView& view, Amount x, std::span out); +void source_shares(const ForwardingView& view, Amount x, std::span out); // The heads' increments when a cumulative 128-bit offer X grows by v (a Lossy place): RR(X + v) - // RR(X) or H(X + v) - H(X), each below 2^62. -void head_increments(const ForwardingView& view, const Counter128& X, Amount v, std::span out); +void source_offer_increments(const ForwardingView& view, const Counter128& X, Amount v, std::span out); // Lossless: the largest total in [lo, hi] (hi nullopt: unbounded) whose no-drop forwarding fits // `free`, with its loads; `lo` must fit. -[[nodiscard]] ProgramFlow lossless(const Graph& g, const ForwardingView& view, const FreeFn& free, Amount lo, +[[nodiscard]] ProgramFlow lossless(const Graph& graph, const ForwardingView& view, const AvailableCapacityFn& free, Amount lo, std::optional hi); // Lossy: the loss rule over per-head injections (aligned with the view's heads) on `free`. -[[nodiscard]] ProgramFlow lossy(const Graph& g, const ForwardingView& view, const FreeFn& free, +[[nodiscard]] ProgramFlow lossy(const Graph& graph, const ForwardingView& view, const AvailableCapacityFn& free, std::span injections); #if NETGRAPH_CORE_PRIVATE_HOOKS diff --git a/include/netgraph/core/detail/graph_access.hpp b/include/netgraph/core/detail/graph_access.hpp index 5e90b2d..a6b6ba1 100644 --- a/include/netgraph/core/detail/graph_access.hpp +++ b/include/netgraph/core/detail/graph_access.hpp @@ -28,9 +28,9 @@ namespace netgraph::core::detail { } struct GraphAccess { - // in_col_indices[slot] = edge_src()[in_adj_edge_index()[slot]], filled before the graph is + // incoming_edge_sources[slot] = edge_sources()[incoming_edges()[slot]], filled before the graph is // published and never written after. - [[nodiscard]] static std::span in_col_indices(const Graph& g) noexcept { return g.in_col_indices_; } + [[nodiscard]] static std::span incoming_edge_sources(const Graph& graph) noexcept { return graph.incoming_edge_sources_; } // The retained arrays' heap payload: capacity() and size() times the element size, summed. struct Retained { @@ -38,7 +38,7 @@ struct GraphAccess { std::size_t size_bytes {0}; std::size_t arrays {0}; }; - [[nodiscard]] static Retained retained(const Graph& g) noexcept { + [[nodiscard]] static Retained retained(const Graph& graph) noexcept { Retained r; auto add = [&r](const auto& v) { using T = typename std::remove_cvref_t::value_type; @@ -46,15 +46,15 @@ struct GraphAccess { r.size_bytes += v.size() * sizeof(T); ++r.arrays; }; - add(g.capacity_); - add(g.cost_); - add(g.src_); - add(g.dst_); - add(g.input_index_); - add(g.row_offsets_); - add(g.in_row_offsets_); - add(g.in_adj_edge_index_); - add(g.in_col_indices_); + add(graph.edge_capacity_units_); + add(graph.edge_costs_); + add(graph.edge_sources_); + add(graph.edge_destinations_); + add(graph.input_positions_); + add(graph.outgoing_offsets_); + add(graph.incoming_offsets_); + add(graph.incoming_edges_); + add(graph.incoming_edge_sources_); return r; } }; diff --git a/include/netgraph/core/detail/int128.hpp b/include/netgraph/core/detail/int128.hpp index 5473acb..472f234 100644 --- a/include/netgraph/core/detail/int128.hpp +++ b/include/netgraph/core/detail/int128.hpp @@ -4,7 +4,7 @@ (Counter128 keeps its own two words). Compare fractions a/b and c/d by comparing a*d and c*b; compute a lower quota as floor(I*w/W), where I is the total, w one weight and W the sum of weights. - A double factor is used exactly as stored: an integer divided by a power of two. + A cost-stretch factor is an exact fraction n/d. Product operands stay below 2^63, products below 2^126, and quotients fit 64 bits. Use __int128 when available; otherwise split products into 32-bit parts (limbs). @@ -16,7 +16,6 @@ #pragma once #include -#include #include #include @@ -146,34 +145,11 @@ struct I128 { constexpr I128& operator+=(I128 b) noexcept { return *this = *this + b; } }; -// A positive finite double as the exact dyadic rational it is: f = m * 2^x with m odd and -// below 2^53. -struct Dyadic { - std::uint64_t m {0}; - int x {0}; -}; -inline Dyadic dyadic(double f) noexcept { - int e = 0; - const double frac = std::frexp(f, &e); // f = frac * 2^e, frac in [0.5, 1) - Dyadic d {static_cast(std::ldexp(frac, 53)), e - 53}; - const int tz = std::countr_zero(d.m); - d.m >>= tz; - d.x += tz; - return d; -} - -// cost <= f * base, exactly (the Stretch cost ceiling): f is the dyadic rational -// it is (finite, f >= 1), cost >= 0 and base >= 1 below 2^63. f = m * 2^x with m odd below 2^53; -// bit lengths are compared before any shift, so no product exceeds 128 bits. -inline bool stretch_le(std::int64_t cost, std::int64_t base, double f) noexcept { - const auto [m, x] = dyadic(f); - const U128 rhs = mul_u64(static_cast(base), m); // below 2^116 - if (x >= 0) { - if (bits(rhs) + x > 64) return true; // rhs * 2^x >= 2^64 > cost - return !(shl(rhs, x) < U128 {0, static_cast(cost)}); - } - // f >= 1 with m < 2^53: -x < 53, so cost * 2^-x < 2^116. - const U128 lhs = shl(U128 {0, static_cast(cost)}, -x); +// cost <= (n / d) * base, exactly (the CostStretch cost ceiling): cost * d <= n * base, for cost and +// base in [0, 2^63) and a reduced factor n / d >= 1 (so n >= d >= 1). Each product is below 2^126. +inline bool stretch_le(std::int64_t cost, std::int64_t base, std::int64_t n, std::int64_t d) noexcept { + const U128 lhs = mul_u64(static_cast(cost), static_cast(d)); + const U128 rhs = mul_u64(static_cast(base), static_cast(n)); return !(rhs < lhs); } diff --git a/include/netgraph/core/detail/ledger_access.hpp b/include/netgraph/core/detail/ledger_access.hpp index 51337f1..d787166 100644 --- a/include/netgraph/core/detail/ledger_access.hpp +++ b/include/netgraph/core/detail/ledger_access.hpp @@ -19,47 +19,47 @@ namespace netgraph::core::detail { // A record proposed by a policy for the commit: `id` nullopt is a new flow (its id is assigned -// at the commit, in draft order); the commit sets the record's flow_id and owner. The record's -// `edges`, `drops` and `reserved_edges` ascend by EdgeId; zero entries are dropped. -struct Draft { - std::optional id {}; +// at the commit, in draft order); the commit sets the record's flow_id and policy_id. The record's +// `edge_flows`, `edge_drops` and `edge_reservations` ascend by EdgeId; zero entries are dropped. +struct RecordDraft { + std::optional record_counter {}; FlowRecord record {}; }; // The saturation diagnostic of FlowLedger::bottleneck on a given residual (the sources already a // validated set): the edges (statically eligible, capacity >= 1 unit) leaving the set reachable // from the allowed sources over eligible forward arcs with residual >= 1 unit, ascending EdgeId. -[[nodiscard]] std::vector bottleneck_of(const Graph& g, std::span residual, - std::span sources, const Eligibility* elig); +[[nodiscard]] std::vector saturated_boundary_edges_of(const Graph& graph, std::span residual, + std::span sources, const Eligibility* eligibility); struct LedgerAccess { // A new owner id (0, 1, ... per ledger). Throws on a moved-from ledger. - [[nodiscard]] static std::int64_t bind(FlowLedger& fg); + [[nodiscard]] static std::int64_t bind(FlowLedger& ledger); // The owner's policy is destroyed without remove(): its records stay as orphans. - static void release(FlowLedger& fg, std::int64_t owner) noexcept; + static void release(FlowLedger& ledger, std::int64_t owner) noexcept; // remove(): the owner's records are deleted (allocations and holds reverted), their ids retired. // Throws only before any change (a moved-from ledger, an unbound owner). - static std::vector detach(FlowLedger& fg, std::int64_t owner); + static std::vector detach(FlowLedger& ledger, std::int64_t owner); // One atomic exchange: `drafts` must carry every live record of the owner (by id) plus the // new ones; the new aggregates must stay within [0, baseline] on every edge (carried loads // within the service baseline, holds within the reservation baseline). Throws (and // changes nothing) otherwise, an allocation failure included: every allocation happens // before a publication step that cannot throw. Returns the FlowIds of the new records in // draft order. The drafts' vectors are moved from. - static std::vector commit(FlowLedger& fg, std::int64_t owner, std::span drafts); + static std::vector commit(FlowLedger& ledger, std::int64_t owner, std::span drafts); // The exchange of replace() and forward(): every live record of the owner is retired (its // allocation reverted, its id never live again) and `drafts` (new records only) are created, in // one atomic step with commit's checks and guarantee. Returns the new FlowIds in draft order. - static std::vector exchange(FlowLedger& fg, std::int64_t owner, std::span drafts); + static std::vector exchange(FlowLedger& ledger, std::int64_t owner, std::span drafts); // commit (retire false) and exchange (retire true). - static std::vector commit_drafts(FlowLedger& fg, std::int64_t owner, std::span drafts, bool retire); + static std::vector commit_drafts(FlowLedger& ledger, std::int64_t owner, std::span drafts, bool retire); // A live record by id (throws std::invalid_argument for an unknown or retired id). - [[nodiscard]] static const FlowRecord& live(const FlowLedger& fg, std::int64_t id); - // The working residual baseline - allocated into `out` (resized to E). - static void residual_into(const FlowLedger& fg, std::vector& out); - [[nodiscard]] static std::span baseline(const FlowLedger& fg); + [[nodiscard]] static const FlowRecord& live(const FlowLedger& ledger, std::int64_t id); + // The working residual service baseline - carried() into `out` (resized to E). + static void residual_into(const FlowLedger& ledger, std::vector& out); + [[nodiscard]] static std::span baseline(const FlowLedger& ledger); // The aggregate allocation (borrowed; valid until the next commit, detach or reset). - [[nodiscard]] static std::span allocated(const FlowLedger& fg); + [[nodiscard]] static std::span carried(const FlowLedger& ledger); // The reservation baseline R0 and the aggregate holds S (borrowed, as above). S is empty until a // commit with holds stages it as zeros (a commit that fails after that leaves it staged); empty // and staged S read as all zero. @@ -69,9 +69,9 @@ struct LedgerAccess { // through it). static std::vector& reserved_storage(FlowLedger& fg); // Diagnostics (the tests and the private bindings). - [[nodiscard]] static std::int64_t next_flow_id(const FlowLedger& fg); - [[nodiscard]] static std::vector bound_owners(const FlowLedger& fg); - [[nodiscard]] static std::vector orphan_owners(const FlowLedger& fg); + [[nodiscard]] static std::int64_t next_record_counter(const FlowLedger& ledger); + [[nodiscard]] static std::vector bound_policy_ids(const FlowLedger& ledger); + [[nodiscard]] static std::vector orphan_policy_ids(const FlowLedger& ledger); }; } // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/flow_core.hpp b/include/netgraph/core/detail/min_cost_flow.hpp similarity index 82% rename from include/netgraph/core/detail/flow_core.hpp rename to include/netgraph/core/detail/min_cost_flow.hpp index f1dac12..e97e75a 100644 --- a/include/netgraph/core/detail/flow_core.hpp +++ b/include/netgraph/core/detail/min_cost_flow.hpp @@ -1,5 +1,5 @@ -/* Integer minimum-cost flow (internal): Global and the recorder use the eligible graph; - MaxFlow uses an edge subset; exact sensitivity repairs a solved flow after deleting an edge. +/* Integer minimum-cost flow (internal): CentralizedTE and the recorder use the eligible graph; + Optimized uses an edge subset; exact sensitivity repairs a solved flow after deleting an edge. A view gives each edge's available capacity. The residual network has forward arcs for adding flow and reverse arcs for cancelling it. A potential pi is a vertex cost offset: reduced cost on u -> v is cost + pi(u) - pi(v). Non-negative reduced costs allow @@ -37,7 +37,7 @@ inline constexpr Amount kMaxFlowCap = INT64_MAX - 1; // Repeatable work counters for one call; they detect changes in work, not correctness. // Virtual vertices and arcs count like real ones. -struct FlowCoreCounters { +struct MinCostFlowCounters { std::int64_t dijkstra_runs {0}; // every run, the final failed one included std::int64_t dijkstra_pops {0}; // heap pops, stale ones included std::int64_t settled {0}; // vertices finalised, summed over runs @@ -46,46 +46,46 @@ struct FlowCoreCounters { std::int64_t augmentations {0}; // DFS paths pushed }; -// The payload of a solve on a graph (the recorder's _place_global_units, Global routing). -struct FlowCoreResult { - Amount placed {0}; +// The payload of a solve on a graph (the recorder's _solve_min_cost_flow, CentralizedTE routing). +struct MinCostFlowResult { + Amount flow_value {0}; // Marginal cost curve: (cost, units) pairs in ascending cost, where delivering `units` more // units raises the minimum total cost of the flow by `cost` per unit. Delivering more can // reroute flow already placed, so the pairs are not the costs of the paths in the final // allocation. Costs strictly increase; units are positive. - std::vector> cost_distribution {}; + std::vector> marginal_cost_curve {}; std::vector edge_flows {}; // per edge, id order // Edges from the full residual closure of the real sources to its complement, whatever their // view (an edge of view 0 adds 0 to the value), ascending id; nullopt while the destinations // stay connected (a cap stopped the solve) and on an input cap of 0. std::optional> min_cut {}; std::vector potentials {}; // per node; kNeverReached when never settled - FlowCoreCounters counters {}; + MinCostFlowCounters counters {}; }; // A solve's network in local coordinates: real vertices 0..num_nodes-1, s* = num_nodes, // t* = num_nodes + 1. The input is the view's edges in ascending EdgeId (tail, head, cost and // view capacity per edge) and the endpoint sets in ascending NodeId; the arcs are slots in // adjacency order (the slots of x are [off[x], off[x + 1])), each with its head, its cost and -// the slot of its partner, in the flow core's arc order (flow_core.cpp, "Arc identity"). Every +// the slot of its partner, in the flow core's arc order (min_cost_flow.cpp, "Arc identity"). Every // solver's network is within the limits of network_vertices(). -struct Network { +struct ResidualNetwork { std::int32_t num_nodes {0}; std::vector edges {}; - std::vector tail {}; - std::vector head {}; + std::vector edge_sources {}; + std::vector edge_destinations {}; std::vector cost {}; - std::vector cap {}; + std::vector edge_capacities {}; std::vector sources {}; - std::vector src_cap {}; // per source: its virtual arc's capacity; empty: kMaxFlowCap + std::vector source_capacities {}; // per source: its virtual arc's capacity; empty: kMaxFlowCap std::vector destinations {}; - std::vector off {}; - std::vector arc_head {}; - std::vector rev {}; + std::vector arc_offsets {}; + std::vector arc_destinations {}; + std::vector reverse_arcs {}; std::vector arc_cost {}; - std::vector edge_slot {}; // per edge: its forward slot (at the tail) - std::vector src_rev {}; // per source: the reverse slot of its virtual arc (at the source) - std::vector dst_fwd {}; // per destination: the forward slot of its virtual arc + std::vector edge_forward_arcs {}; // per edge: its forward slot (at the tail) + std::vector source_reverse_arcs {}; // per source: the reverse slot of its virtual arc (at the source) + std::vector destination_forward_arcs {}; // per destination: the forward slot of its virtual arc }; // The number of vertices of a solve's network, num_nodes + 2 (the real vertices, then s* and @@ -116,34 +116,34 @@ class DeletionState { ~DeletionState() = default; [[nodiscard]] const Graph& graph() const noexcept { return *graph_; } - [[nodiscard]] const Network& network() const noexcept { return *net_; } - [[nodiscard]] std::span residual() const noexcept { return res_; } // per slot + [[nodiscard]] const ResidualNetwork& network() const noexcept { return *network_; } + [[nodiscard]] std::span residual() const noexcept { return arc_residual_; } // per slot [[nodiscard]] Amount value() const noexcept { return value_; } // The working potentials per local vertex: the published potential plus the tier maxima of // the later tiers; numeric for every vertex (never the published sentinel). - [[nodiscard]] std::span potentials() const noexcept { return pi_; } + [[nodiscard]] std::span potentials() const noexcept { return potentials_; } // The maximum certificate: the destinations are outside the full residual closure of the // real sources. [[nodiscard]] bool maximum() const noexcept { return maximum_; } - [[nodiscard]] const FlowCoreCounters& counters() const noexcept { return counters_; } + [[nodiscard]] const MinCostFlowCounters& counters() const noexcept { return counters_; } [[nodiscard]] std::vector edge_flows() const; // per EdgeId of the graph private: - friend class FlowSolver; + friend class MinCostFlowSolver; friend class DeletionResolver; std::shared_ptr graph_ {}; - std::shared_ptr net_ {}; - std::vector res_ {}; - std::vector pi_ {}; + std::shared_ptr network_ {}; + std::vector arc_residual_ {}; + std::vector potentials_ {}; Amount value_ {0}; bool maximum_ {false}; - FlowCoreCounters counters_ {}; + MinCostFlowCounters counters_ {}; }; // The exchange of the copy assignment, and every move, must not throw. static_assert(std::is_nothrow_move_constructible_v && std::is_nothrow_move_assignable_v); -// The internal capture request of a solve: place_global_units stores its final state in +// The internal capture request of a solve: solve_min_cost_flow stores its final state in // `state`, bound to `graph`, the shared owner of the solve's graph. The ordinary payload does // not change. A request, not a value: movable, never copied. struct DeletionCapture { @@ -174,9 +174,9 @@ struct DeletionResult { // The edges from the full residual closure of the real sources to its complement on the // deleted view, whatever their view capacity, ascending EdgeId: value == sum(view // capacity[cut]). - std::vector cut {}; + std::vector min_cut {}; std::vector edge_flows {}; // the final flow per EdgeId (the deleted edge 0) - FlowCoreCounters counters {}; // this call's, from zero + MinCostFlowCounters counters {}; // this call's, from zero }; #if NETGRAPH_CORE_PRIVATE_HOOKS @@ -188,7 +188,7 @@ struct DeletionEvent { Amount moved {0}; // by the current repair so far std::span residual {}; std::span potentials {}; - const FlowCoreCounters* counters {nullptr}; + const MinCostFlowCounters* counters {nullptr}; }; struct DeletionProbe { std::function observe {}; @@ -197,7 +197,7 @@ struct DeletionProbe { }; #endif -class FlowSolver; +class MinCostFlowSolver; // The deletion re-solve on one worker's copy of a captured state: each call resets the // residuals and potentials from that copy, deletes a real arc e = (u, v) with flow f_e > 0 and @@ -224,46 +224,46 @@ class DeletionResolver { // The input index of e after the precondition checks above. [[nodiscard]] std::size_t index_of(EdgeId e) const; DeletionState state_; - std::unique_ptr solver_; + std::unique_ptr solver_; }; // Minimum-cost flow of the maximum value attainable under `cap` from the source set to the // destination set over the eligible edges, on the capacities `view` (units, id order). Every // solve starts from zero flow. `cap` nullopt is uncapped; an input cap of 0 returns the zero // payload without running a search. Throws std::invalid_argument before any work, in this -// order, for a view of the wrong length or with an entry outside [0, capacity_units[e]], an +// order, for a view of the wrong length or with an entry outside [0, the edge's capacity], an // empty or out-of-range endpoint set, a vertex in both sets, a cap outside [0, 2^63 - 2], or a // foreign Eligibility. Excluded endpoints are skipped. With `capture`, the final state is // stored there as well. A solve (a cap other than 0, or a capture) then throws // std::invalid_argument, before the solver sizes anything, for a network beyond the limits of // network_vertices(): the graph's nodes, the eligible edges, the eligible sources and // destinations. `source_caps` (aligned with `sources`; empty: unlimited) gives each source's -// virtual arc its capacity, the equal origin's round-robin shares; it is not captured. -[[nodiscard]] FlowCoreResult place_global_units(const Graph& g, std::span view, +// virtual arc its capacity, the equal source allocation's round-robin shares; it is not captured. +[[nodiscard]] MinCostFlowResult solve_min_cost_flow(const Graph& graph, std::span view, std::span sources, - std::span destinations, const Eligibility* elig, + std::span destinations, const Eligibility* eligibility, std::optional cap, DeletionCapture* capture = nullptr, std::span source_caps = {}); -// The solve on an edge subset (the MaxFlow kernel's replacement on V_i = W + own_i over a +// The solve on an edge subset (the Optimized kernel's replacement on V_i = W + own_i over a // flow's split graph): flows aligned with the input edges, the value and the marginal curve. struct SubsetFlow { - Amount placed {0}; - std::vector flows {}; - std::vector> cost_distribution {}; + Amount flow_value {0}; + std::vector edge_flows {}; + std::vector> marginal_cost_curve {}; }; // The minimum-cost flow of the maximum value under `cap` (nullopt: uncapped) from `sources` to // `destinations` over the edges `edges` (ascending EdgeId, distinct) with capacities `caps` // (aligned with `edges`, each in [0, 2^62)). The same core and arc order as -// place_global_units (ascending EdgeId at every node, the virtual arc first, virtual arcs by +// solve_min_cost_flow (ascending EdgeId at every node, the virtual arc first, virtual arcs by // ascending endpoint NodeId), from zero flow; the vertices are compressed to the ones the edges // and endpoints touch, which changes no flow, curve or augmenting path. The endpoint sets are // ascending, distinct and disjoint; the caller validated every input. A solve (a cap other than // 0) throws std::invalid_argument, before the solver sizes anything, for a network beyond the // limits of network_vertices(): the touched vertices, the edges and the endpoints. -// `source_caps` as in place_global_units. -[[nodiscard]] SubsetFlow solve_subset(const Graph& g, std::span edges, +// `source_caps` as in solve_min_cost_flow. +[[nodiscard]] SubsetFlow solve_subset(const Graph& graph, std::span edges, std::span caps, std::span sources, std::span destinations, std::optional cap, std::span source_caps = {}); diff --git a/include/netgraph/core/detail/policy_engine.hpp b/include/netgraph/core/detail/policy_engine.hpp index fd09a36..3cbf9da 100644 --- a/include/netgraph/core/detail/policy_engine.hpp +++ b/include/netgraph/core/detail/policy_engine.hpp @@ -12,46 +12,46 @@ #include #include "netgraph/core/detail/forwarding.hpp" -#include "netgraph/core/detail/kernels.hpp" +#include "netgraph/core/detail/route_kernels.hpp" #include "netgraph/core/flow_ledger.hpp" #include "netgraph/core/flow_policy.hpp" #include "netgraph/core/flow_record.hpp" -#include "netgraph/core/pred_dag.hpp" -#include "netgraph/core/program.hpp" +#include "netgraph/core/route_structures.hpp" +#include "netgraph/core/forwarding_program.hpp" namespace netgraph::core::detail { struct DeletionCapture; -// A live flow of the policy between calls. Its amounts are its ledger record (delivered; edges; -// Lossy offered and drops; T1's holds). The flows of CostOnly and Global are one per roster -// source (CostOnly's sources share the epoch's program); a T1, T2 or Pinned policy's are one per -// program entry (`entry`). +// A live flow of the policy between calls. Its amounts are its ledger record (delivered; edge flows; +// Lossy offered and edge drops; T1's holds). The flows of ShortestPaths and CentralizedTE are one per roster +// source (ShortestPaths's sources share the epoch's program); a T1, T2 or Pinned policy's are one per +// program entry (`entry_id`). struct LiveFlow { - std::int64_t id {-1}; - NodeId src {0}; - std::shared_ptr bundle {}; - Cost cost {kUnreachable}; - std::int32_t entry {-1}; + std::int64_t record_counter {-1}; + NodeId source {0}; + std::shared_ptr route {}; + Cost min_route_cost {kUnreachable}; + std::int32_t entry_id {-1}; }; // The state accumulated since construction or the last remove(), replace() or forward() (the // policy epoch): a value, so a full-offer call builds its own and publishes it whole. -struct Epoch { - // The live flows: per roster index (CostOnly and Global: one per source), or per program entry +struct PolicyEpoch { + // The live flows: per roster index (ShortestPaths and CentralizedTE: one per source), or per program entry // (T1, T2, Pinned). - std::vector> cohorts {}; + std::vector> record_groups {}; // The installed program (null before the first preparation) and, for T1 and T2, its setup summary // (shared, never changed: a policy without tunnels carries a null pointer, not a TunnelPlan). std::shared_ptr program {}; std::shared_ptr plan {}; - // CostOnly MaxFlow: the union of the roster's routes, the controller's support (ascending). + // ShortestPaths Optimized: the union of the roster's routes, the controller's support (ascending). std::vector support {}; - // Unrestricted Global with the optimized origin: the cumulative marginal curve of the last solve + // Unrestricted CentralizedTE with the optimized source allocation: the cumulative marginal curve of the last solve // (absent before one, and after a forward). - std::optional>> curve {}; + std::optional>> marginal_cost_curve {}; // Pinned, Lossy: per view head, the shares it lost itself (black-holed, no surviving entry). - std::vector head_lost {}; + std::vector source_drops_by_source {}; // The by_tunnel rows of the state (a zero call reports them). std::vector by_tunnel {}; Counter128 requested {}; @@ -61,24 +61,29 @@ struct Epoch { }; struct PolicyEngine { - PolicyEngine(FlowLedger& ledger, FlowPolicyConfig cfg) : fg(ledger), config(std::move(cfg)) {} + PolicyEngine(FlowLedger& ledger, FlowPolicyConfig config) : ledger(ledger), config(std::move(config)) {} - FlowLedger& fg; + FlowLedger& ledger; std::shared_ptr graph {}; - FlowPolicyConfig config; // validated, origin, selection and weights resolved - PathSelection selection {}; // *config.selection, or the default for Global and Pinned (unread) - Origin origin {Origin::Equal}; // *config.origin, or Equal for Pinned (unread) - const Eligibility* elig {nullptr}; + FlowPolicyConfig config; // validated, source allocation and weight basis resolved + // The model's route choice: ShortestPaths' fields, DistributedTE's tie rule and parallel_edges as + // a single path, the default for CentralizedTE and Pinned (unread). + RouteChoice route_choice {}; + SourceAllocation source_allocation {SourceAllocation::Equal}; // source_allocation_of(routing), or Equal for Pinned (unread) + const Eligibility* eligibility {nullptr}; + // T2 on a support: the policy's mask with every edge outside the support excluded too (the + // one allowed set of every T2 step); `eligibility` points to it. + std::unique_ptr support_mask {}; std::vector sources {}; // the normalised sets std::vector destinations {}; - std::vector dests_ok {}; // the allowed destinations (the records' destination set) - std::vector roster {}; // fixed at construction, ascending - Cost c0 {0}; // T1 with a Stretch ceiling: the smallest static shortest cost + std::vector allowed_destinations {}; // the allowed destinations (the records' destination set) + std::vector reachable_sources {}; // fixed at construction, ascending + Cost c0 {0}; // T1 with a CostStretch ceiling: the smallest static shortest cost // over the roster heads (the pool baseline) - std::shared_ptr support {}; // CostOnly: the full static support - // Global with a support: the trimmed support (ascending), shared with its programs' replay basis. - std::shared_ptr> global_support {}; - // Unrestricted Global, T1 and T2: the mask's excluded nodes and edges (ascending), their programs' + std::shared_ptr support {}; // ShortestPaths: the full static support + // CentralizedTE with a support: the trimmed support (ascending), shared with its programs' replay basis. + std::shared_ptr> centralized_te_support {}; + // Unrestricted CentralizedTE, T1 and T2: the mask's excluded nodes and edges (ascending), their programs' // replay basis. std::vector excluded_nodes {}; std::vector excluded_edges {}; @@ -86,10 +91,10 @@ struct PolicyEngine { // and whether any head can place traffic (some head with a positive injection weight and a // surviving entry of positive weight with a usable route). ForwardingView view {}; - bool active {false}; - std::int64_t owner {0}; - Epoch epoch {}; - // Global: a capture request for the next solve's final state (the exact sensitivity model's + bool can_forward {false}; + std::int64_t policy_id {0}; + PolicyEpoch epoch {}; + // CentralizedTE: a capture request for the next solve's final state (the exact sensitivity model's // baseline); set and cleared by the evaluator. DeletionCapture* capture {nullptr}; }; @@ -103,33 +108,34 @@ struct PolicyAccess { // cache's hits; returned as a prvalue (FlowPolicy does not move). [[nodiscard]] static FlowPolicy make(FlowLedger& ledger, std::span sources, std::span destinations, FlowPolicyConfig config, - const Eligibility* elig, DagCache* cache, FrozenTally& tally) { - return FlowPolicy(ledger, sources, destinations, std::move(config), elig, cache, tally); + const Eligibility* eligibility, ShortestPathCache* cache, FrozenCacheHitTally& tally) { + return FlowPolicy(ledger, sources, destinations, std::move(config), eligibility, cache, tally); } }; // The configuration checks of FlowPolicy, shared with the evaluators' argument checks, in -// FlowPolicyConfig's order (the enumeration values, the model's row, the DagCache: `cache` says -// whether one is supplied, the tunnel models' parameters, edge_weights' length and entries against -// `num_edges`); -// returns its selection, origin and weights with an absent one resolved (nothing else is copied). -// Then, with the normalized endpoint counts, the pooled single-path rule (check_source_count: an -// absent selection is PathSelection(), multipath absent, so it reads the configuration resolved or -// not alike) and T2's several-sources rule, and with the roster size the tunnel limit -// (check_tunnel_limit). -struct ResolvedAxes { - std::optional selection; - std::optional origin; - std::optional weights; -}; -[[nodiscard]] ResolvedAxes resolve_config(const FlowPolicyConfig& cfg, bool cache, std::int32_t num_edges); -void check_source_count(const FlowPolicyConfig& cfg, std::size_t num_sources, std::size_t num_destinations); +// FlowPolicyConfig's order (flow_policy.hpp): the enumeration values, the model matrix with a +// supplied ShortestPathCache last (`cache` says whether one is supplied), the tunnel models' +// parameters and edge_weights' length and entries against `num_edges`. With `num_sources` (the +// normalized input sources) the two source-count rules run at their places in the matrix (T2's +// several-sources rule first, the pooled single-path rule after the ineffective tie rule); +// evaluate_pairs checks them per pair with check_source_count. Then, with the roster size, the +// tunnel limit (check_tunnel_limit). +void check_config(const FlowPolicyConfig& config, bool cache, std::int32_t num_edges, std::optional num_sources); +void check_source_count(const FlowPolicyConfig& config, std::size_t num_sources); +// The policy's snapshot: ShortestPaths' absent source_allocation and an absent weight_basis of +// Weighted resolved. +[[nodiscard]] FlowPolicyConfig resolved_config(FlowPolicyConfig config); +// The resolved source allocation of a computing model; none for Pinned (its program has one). +[[nodiscard]] std::optional source_allocation_of(const Routing& r) noexcept; void check_tunnel_limit(const FlowPolicyConfig& cfg, std::size_t num_heads); // forward()'s first checks, before its offer is read (the binding runs them before converting // it): `Pinned forwards with replace`, then `forward requires an installed program`. void check_forward_operation(const PolicyEngine& pe); -// The model's name in messages: CostOnly, Global, T1 (CapacityAware), T2 (Global with tunnels) or +// The model's name in messages: ShortestPaths, CentralizedTE, T1 (DistributedTE), T2 (CentralizedTE with tunnel_count) or // Pinned. [[nodiscard]] const char* model_name(const Routing& r) noexcept; +// The model's class name, T2 included (CentralizedTE): the cache rule and the evaluators' texts. +[[nodiscard]] const char* model_class(const Routing& r) noexcept; } // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/private_hooks.hpp b/include/netgraph/core/detail/private_hooks.hpp index 7786d32..a6162aa 100644 --- a/include/netgraph/core/detail/private_hooks.hpp +++ b/include/netgraph/core/detail/private_hooks.hpp @@ -26,12 +26,12 @@ inline constexpr bool kTraced = NETGRAPH_CORE_PRIVATE_HOOKS != 0; namespace netgraph::core::detail { // FlowPolicy::place with the transaction's trace (a Trace: the call's intermediate values, -// keyed as the tests' model of the policy keys them). `staged`, when given, runs +// keyed as the tests' model of the policy keys them). `before_publish`, when given, runs // once the result and the trace are final and before anything is published (the commit, the // epoch state): an exception from it aborts the call with nothing changed (the binding builds // its Python objects there). -PlacementResult place_traced(FlowPolicy& policy, std::optional volume, const OutputOptions& outputs, Trace& trace, - const std::function* staged = nullptr); +PlacementResult place_traced(FlowPolicy& policy, std::optional offer, const OutputOptions& outputs, Trace& trace, + const std::function* before_publish = nullptr); } // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/program_data.hpp b/include/netgraph/core/detail/program_data.hpp index 9c23766..3e5eea4 100644 --- a/include/netgraph/core/detail/program_data.hpp +++ b/include/netgraph/core/detail/program_data.hpp @@ -1,6 +1,6 @@ /* The inside of a ForwardingProgram (internal): its entries, split contexts, injection and replay basis, the builders the models use, and the comparisons of the change flags. The public value - (program.hpp) shows only the endpoints, the tunnels and the source weights. */ + (forwarding_program.hpp) shows only the endpoints, the tunnels and the source weights. */ #pragma once #include @@ -11,11 +11,11 @@ #include #include -#include "netgraph/core/detail/kernels.hpp" +#include "netgraph/core/detail/route_kernels.hpp" #include "netgraph/core/eligibility.hpp" #include "netgraph/core/graph.hpp" -#include "netgraph/core/pred_dag.hpp" -#include "netgraph/core/program.hpp" +#include "netgraph/core/route_structures.hpp" +#include "netgraph/core/forwarding_program.hpp" namespace netgraph::core::detail { @@ -24,36 +24,37 @@ namespace netgraph::core::detail { return t.edges.has_value() ? std::span(*t.edges) : std::span {}; } -// One entry: a tunnel (tunnels()[tunnel]) or a split route (a root of contexts[context]). `slot` -// is the head's position in the roster; `bundle` the entry's route as a DAG (a split route's -// edges before weight pruning; null for a tunnel, whose path the record's bundle is made from when a -// Pinned policy needs it) and `cost` its minimum walk cost. +// One entry: a tunnel (tunnels()[tunnel_position]) or a split route (a root of +// split_contexts[split_context_position]). `roster_index` is the head's position in the roster; +// `route` the entry's route as a DAG (a split route's edges before weight pruning; null for a +// tunnel, whose path the record's route is made from when a Pinned policy needs it) and +// `min_route_cost` its minimum walk cost. struct ProgramEntry { - std::int32_t index {0}; + std::int32_t entry_id {0}; NodeId head {0}; - std::int32_t slot {0}; + std::int32_t roster_index {0}; std::int32_t local_index {0}; Amount weight {0}; - std::int32_t tunnel {-1}; - std::int32_t context {-1}; - std::shared_ptr bundle {}; - Cost cost {kUnreachable}; + std::int32_t tunnel_position {-1}; + std::int32_t split_context_position {-1}; + std::shared_ptr route {}; + Cost min_route_cost {kUnreachable}; }; -// A split context: one plan whose roots are the heads it serves (a CostOnly program: the whole +// A split context: one plan whose roots are the heads it serves (a ShortestPaths program: the whole // roster, pooled; a supplied split route: its head alone), and per root the entry it carries. // `route` (ascending) is the context's edges before weight pruning, the replay basis of its // members. struct SplitContext { - std::shared_ptr plan {}; // its route: the context's edges before weight pruning + std::shared_ptr prepared_route {}; // its route: the context's edges before weight pruning // Per plan root: its entry's position in entries (every root has one), in the program's block - // (lay_out). - std::span root_entry {}; + // (initialize_storage). + std::span source_entry_positions {}; }; struct ProgramData { ProgramData() = default; - // The lists below are views of the data's own block (lay_out): a copy would read the + // The lists below are views of the data's own block (initialize_storage): a copy would read the // original's block, so there is none; a move keeps the block and with it the views. ProgramData(const ProgramData&) = delete; ProgramData& operator=(const ProgramData&) = delete; @@ -69,37 +70,37 @@ struct ProgramData { // The injection: the roster (the heads with an entry, ascending; T1, T2: the policy's roster), its // captured weights (empty: equal sources), every entry in ascending index, per roster slot its // entries (ascending index). - std::span roster {}; - std::vector head_weight {}; + std::span reachable_sources {}; + std::vector source_weight_values {}; std::vector entries {}; - // Per roster slot its entries (entries_of): slot s's are slot_entries[slot_first[s]..slot_first[s+1]), + // Per roster slot its entries (entries_of): slot s's are source_entry_positions[source_entry_offsets[s]..source_entry_offsets[s+1]), // ascending index; both empty for a pooled program. - std::span slot_first {}; - std::span slot_entries {}; - std::span tunnel_entry {}; // per tunnel: its entry - std::vector contexts {}; - // The replay basis (8.4): the topology under the producer's exclusions (topology: unrestricted - // Global), or per roster slot the edges of its original routes (basis_parts). - bool topology {false}; + std::span source_entry_offsets {}; + std::span source_entry_positions {}; + std::span tunnel_entry_positions {}; // per tunnel: its entry + std::vector split_contexts {}; + // The replay basis: the topology under the producer's exclusions (topology: unrestricted + // CentralizedTE), or per roster slot the edges of its original routes (basis_parts). + bool uses_topology_basis {false}; std::span excluded_nodes {}; // ascending std::span excluded_edges {}; // ascending (an edge whose endpoint is excluded included) - std::shared_ptr> common_basis {}; // every slot's (a supported Global) - std::vector> slot_routes {}; // per slot its route (CostOnly MaxFlow) + std::shared_ptr> common_replay_support {}; // every slot's (a supported CentralizedTE) + std::vector> source_supports {}; // per slot its route (ShortestPaths Optimized) // A slot's replay basis as edge sets, appended to `out` (each ascending, except a tunnel's path, - // in walk order: `second` false): the shared route or edge set above, else (supplied and CostOnly - // split programs) the slot's own entries' routes: a tunnel's edges, a split route's bundle (its + // in walk order: `second` false): the shared route or edge set above, else (supplied and ShortestPaths + // split programs) the slot's own entries' routes: a tunnel's edges, a split route's route DAG (its // edges before weight pruning). Nothing is copied. void basis_parts(std::size_t slot, std::vector, bool>>& out) const; // One pooled context carries every entry: a single context whose roots are the roster, one entry - // of positive weight per head, equal sources (a CostOnly program; a supplied program of one + // of positive weight per head, equal sources (a ShortestPaths program; a supplied program of one // split route of positive weight). Its forwarding is the plan's own kernels. - bool pooled {false}; + bool pools_source_inflows {false}; // A slot's entries, ascending index: a pooled program's slot carries the one entry its context // root carries (no per-slot lists are kept). - [[nodiscard]] std::span entries_of(std::size_t slot) const noexcept { - if (pooled) return {&contexts.front().root_entry[slot], 1}; - const auto first = static_cast(slot_first[slot]); - return {slot_entries.data() + first, static_cast(slot_first[slot + 1]) - first}; + [[nodiscard]] std::span entries_for_source(std::size_t slot) const noexcept { + if (pools_source_inflows) return {&split_contexts.front().source_entry_positions[slot], 1}; + const auto first = static_cast(source_entry_offsets[slot]); + return {source_entry_positions.data() + first, static_cast(source_entry_offsets[slot + 1]) - first}; } // The last step of every producer, after its entries, tunnels, contexts and `pooled` are set: // the lists above copied into one block (one allocation; a failure leaves the data without @@ -107,8 +108,8 @@ struct ProgramData { // each entry's slot and local index (its position among its slot's entries), each tunnel's // local index, the per-slot lists (a stable counting sort by slot), the per-tunnel entries and // each context's root entries (the entry whose head is the root). - void lay_out(std::span sources, std::span destinations, - std::optional> roster, std::span excluded_nodes = {}, + void initialize_storage(std::span sources, std::span destinations, + std::optional> reachable_sources, std::span excluded_nodes = {}, std::span excluded_edges = {}); // The block the lists view (the ownership tests). [[nodiscard]] std::span block() const noexcept { return store_; } @@ -116,7 +117,7 @@ struct ProgramData { // a program of down tunnels only, or without entries, has none). [[nodiscard]] bool has_path() const noexcept { for (const auto& entry : entries) { - if (entry.tunnel < 0 || tunnels[static_cast(entry.tunnel)].edges.has_value()) return true; + if (entry.tunnel_position < 0 || tunnels[static_cast(entry.tunnel_position)].edges.has_value()) return true; } return false; } @@ -137,15 +138,15 @@ struct ProgramAccess { [[nodiscard]] static std::shared_ptr make(ProgramData&& data); }; -// A controller's path (Global, CostOnly MaxFlow): its source's roster position, its edges in walk +// A controller's path (CentralizedTE, ShortestPaths Optimized): its source's roster position, its edges in walk // order, its amount. -struct ControllerPath { - std::int32_t slot {0}; +struct OptimizedFlowPath { + std::int32_t roster_index {0}; std::vector edges {}; - Amount amount {0}; + Amount weight {0}; }; -// A flow cut into paths (4.1), source by source in ascending NodeId: while a source has supply +// A flow cut into paths, source by source in ascending NodeId: while a source has supply // left (its net outflow), take the smallest EdgeId sequence with positive remaining flow, stopping // at the first destination; assign min(supply left, smallest remaining edge flow on that walk), // subtract it, record the walk as one path (`slot`: the source's position in `roster`). `edges` @@ -155,7 +156,7 @@ struct ControllerPath { // path repeated `amount` times). std::logic_error when the flow is not conserved, has a positive // cycle or is not covered by the walks. struct Decomposition { - std::vector paths {}; + std::vector paths {}; std::vector>> shares {}; std::vector supplies {}; }; @@ -165,39 +166,51 @@ struct Decomposition { // A controller program's replay basis: the topology under the producer's exclusions (its excluded // nodes and edges, ascending), per roster source its route, or one edge set for every source // (both shared, not copied). -struct ControllerBasis { - bool topology {false}; +struct ReplayBasis { + bool uses_topology_basis {false}; std::span excluded_nodes {}; std::span excluded_edges {}; - std::vector> per_source {}; - std::shared_ptr> common {}; + std::vector> source_supports {}; + std::shared_ptr> common_support {}; }; // The program of a controller: one tunnel per path in decomposition order (index = position), // weight = amount; captured weights `supplies` (per roster source, optimized) or equal sources // (empty). -[[nodiscard]] std::shared_ptr controller_program( - const Graph& g, std::span sources, std::span destinations, - std::span roster, std::vector paths, std::span supplies, - ControllerBasis basis); +[[nodiscard]] std::shared_ptr optimized_flow_program( + const Graph& graph, std::span sources, std::span destinations, + std::span reachable_sources, std::vector paths, std::span supplies, + ReplayBasis basis); -// The program of a CostOnly split demand: one split route per roster source in the one pooled +// The program of a pooled split demand: one split route per roster source in the one pooled // context `plan` (rooted at the roster); `entries` one per roster source in roster order (its -// record bundle, the source's route before weight pruning and its replay basis, and its route cost +// record route, the source's route before weight pruning and its replay basis, and its route cost // set; index, slot, weight 1 and context are set here). -[[nodiscard]] std::shared_ptr cost_only_program( - const Graph& g, std::span sources, std::span destinations, - std::span roster, std::shared_ptr plan, std::vector entries); +[[nodiscard]] std::shared_ptr shortest_path_program( + const Graph& graph, std::span sources, std::span destinations, + std::span reachable_sources, std::shared_ptr plan, std::vector entries); + +// The one pooled DAG builder, shared by ShortestPaths Equal/Weighted and from_dag: the plan of +// `dag` rooted at the roster (the allocation, Equal or Weighted, and the weight source: explicit +// weights edge-aligned, a snapshot aligned with the DAG's ascending edges), then the program of +// shortest_path_program. A plan does not depend on the admission. ShortestPaths with one roster +// source, multipath and a static weight basis builds its plan in one pass instead +// (prepare_shortest_paths, the same plan as this builder's of that source's route) and passes it to +// shortest_path_program directly. +[[nodiscard]] std::shared_ptr pooled_dag_program( + const Graph& graph, std::span sources, std::span destinations, + std::span roster, const PredecessorDAG& dag, RouteAllocation allocation, + const WeightSource& weights, std::vector entries); // A T1 or T2 tunnel as its computation leaves it: its roster slot and round, T1's request, its // status and (up) its path in walk order with its cost, T2's planned bandwidth (0 for T1). -struct SetupTunnel { - std::int32_t slot {0}; - std::int32_t round {0}; - Amount requested {0}; +struct TunnelSetupResult { + std::int32_t roster_index {0}; + std::int32_t local_index {0}; + Amount requested_bandwidth {0}; TunnelStatus status {TunnelStatus::Up}; std::vector edges {}; - Cost cost {0}; + Cost path_cost {0}; Amount planned {0}; }; @@ -206,9 +219,9 @@ struct SetupTunnel { // round * H + slot, a dead head's positions left as holes), weight 1 up and 0 down, reserved = // requested up and 0 down, planned as given; equal sources; the replay basis the topology under // the policy's exclusions (ascending). -[[nodiscard]] std::shared_ptr tunnel_program( - const Graph& g, std::span sources, std::span destinations, - std::span roster, std::vector tunnels, std::span excluded_nodes, +[[nodiscard]] std::shared_ptr distributed_te_program( + const Graph& graph, std::span sources, std::span destinations, + std::span reachable_sources, std::vector tunnels, std::span excluded_nodes, std::span excluded_edges); // The empty program of an empty roster (no entry). @@ -217,7 +230,7 @@ struct SetupTunnel { std::span destinations, bool captured); -// The change flags of 10.4 between an old program (null: none) and a new one: routes (the ordered +// The change flags (routes_changed, weights_changed, reservations_changed) between an old program (null: none) and a new one: routes (the ordered // heads, the entries' kinds and routes, split tables, duplicates), weights (the injection, every // entry and split-table weight, an absent entry counting as weight 0) and reservations (every // tunnel's requested and reserved amounts by index, an absent tunnel counting as (0, 0)). Two @@ -231,10 +244,10 @@ struct ProgramChange { [[nodiscard]] ProgramChange compare_programs(const ForwardingProgram* before, const ForwardingProgram* after, bool reservations = true) noexcept; -// Validation of from_routes' options before any route is read (steps 3 to 5 of the order: options -// on a list of paths only, the placement, the weights' combination), shared with the binding, -// which reads the entries of edge_weights and residual itself after these checks. -void check_route_options(bool any_dag, std::optional placement, std::optional weights, - bool edge_weights, bool residual); +// Validation of the options of from_routes and from_dag (`function`) before any route is read +// (in order: options on a list of paths only, the allocation, the weight basis's combination), shared with the binding, which reads the entries of edge_weights and residual itself +// after these checks. +void check_route_options(const char* function, bool any_dag, std::optional allocation, + std::optional weight_basis, bool edge_weights, bool residual); } // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/pred_dag_builder.hpp b/include/netgraph/core/detail/route_builders.hpp similarity index 64% rename from include/netgraph/core/detail/pred_dag_builder.hpp rename to include/netgraph/core/detail/route_builders.hpp index 0bc674b..2b41392 100644 --- a/include/netgraph/core/detail/pred_dag_builder.hpp +++ b/include/netgraph/core/detail/route_builders.hpp @@ -1,4 +1,4 @@ -/* Internal construction of PredDAG values from trusted inputs (search output, flow routes, +/* Internal construction of PredecessorDAG values from trusted inputs (search output, flow routes, Path::to_dag) and read access to their sparse storage. */ #pragma once @@ -7,45 +7,45 @@ #include #include -#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/route_structures.hpp" namespace netgraph::core::detail { -struct PredDAGBuilder { +struct PredecessorDAGBuilder { // Build a DAG from acyclic, duplicate-free edges; callers guarantee these preconditions. - // Group predecessor entries (edge_src, e) by node, with ascending EdgeId within each node. + // Group predecessor entries (edge source, e) by node, with ascending EdgeId within each node. // For graph node count N and 8 |edges| < N, sort in O(|edges| log |edges|) without graph-sized // scratch. Otherwise use stable counting sort with an N + 1 temporary in O(|edges| + N), // sorting first if edges are not ascending. Retained storage never scales with graph size. - [[nodiscard]] static PredDAG of_edges(const Graph& g, std::span edges); + [[nodiscard]] static PredecessorDAG of_edges(const Graph& graph, std::span edges); // The DAG without entries. - [[nodiscard]] static PredDAG empty(const Graph& g); + [[nodiscard]] static PredecessorDAG empty(const Graph& graph); // A DAG from its finished parts (the searches' emission): `nodes` the children with entries // (ascending), `offsets` their entry ranges (nodes.size() + 1, from 0), `parents` and `via` the // entries (ascending via within a child), `ascending` the via in ascending EdgeId. - [[nodiscard]] static PredDAG of_parts(const Graph& g, std::vector nodes, std::vector offsets, + [[nodiscard]] static PredecessorDAG of_parts(const Graph& graph, std::vector nodes, std::vector offsets, std::vector parents, std::vector via, std::vector ascending); // A Path's DAG: hop h's members (ascending) are the entries of child nodes[h + 1], all with // the parent nodes[h]; the nodes are distinct. - [[nodiscard]] static PredDAG of_path(std::uint64_t graph_uid, std::int32_t num_nodes, + [[nodiscard]] static PredecessorDAG of_path(std::uint64_t graph_uid, std::int32_t num_nodes, const std::vector>& hops, const std::vector& nodes); // The DAG's edges in ascending EdgeId, without a copy (kept by the DAG since construction). - [[nodiscard]] static std::span ascending(const PredDAG& dag) noexcept; + [[nodiscard]] static std::span ascending(const PredecessorDAG& dag) noexcept; // The sparse storage: the member nodes (ascending) and their entry offsets (size + 1). - [[nodiscard]] static std::span member_nodes(const PredDAG& dag) noexcept; - [[nodiscard]] static std::span member_offsets(const PredDAG& dag) noexcept; - // The retained payload in bytes (every stored array; the DagCache's `bytes` statistic). - [[nodiscard]] static std::size_t payload_bytes(const PredDAG& dag) noexcept; + [[nodiscard]] static std::span member_nodes(const PredecessorDAG& dag) noexcept; + [[nodiscard]] static std::span member_offsets(const PredecessorDAG& dag) noexcept; + // The retained payload in bytes (every stored array; the ShortestPathCache's `bytes` statistic). + [[nodiscard]] static std::size_t payload_bytes(const PredecessorDAG& dag) noexcept; }; // Internal construction of Path values from trusted walks (the searches' results): the checks of // Path's constructor hold by construction, so none is repeated (no per-path O(E) scan). struct PathBuilder { // A walk of single-member hops [[e1], [e2], ...]. - [[nodiscard]] static Path of_walk(const Graph& g, std::span walk); + [[nodiscard]] static Path of_walk(const Graph& graph, std::span walk); // Contiguous hops of parallel members (each hop's members share (u, v); no node repeats). - [[nodiscard]] static Path of_hops(const Graph& g, std::vector> hops); + [[nodiscard]] static Path of_hops(const Graph& graph, std::vector> hops); }; } // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/kernels.hpp b/include/netgraph/core/detail/route_kernels.hpp similarity index 62% rename from include/netgraph/core/detail/kernels.hpp rename to include/netgraph/core/detail/route_kernels.hpp index bf64e5e..3aa90ce 100644 --- a/include/netgraph/core/detail/kernels.hpp +++ b/include/netgraph/core/detail/route_kernels.hpp @@ -2,7 +2,7 @@ splits an integer total among recipients. A plan freezes the route, its split graph and any Weighted weights at creation. It has one or - more roots: the sources that inject (one for a flow of a single source; a CostOnly demand's + more roots: the sources that inject (one for a flow of a single source; a ShortestPaths demand's roster for its pooled program). The split graph keeps edges allowed by the kernel that lie on a walk from a root to a destination; it removes edges leaving destinations. Its edges are the plan's members. A router reached by several roots adds their traffic and splits it once. @@ -19,11 +19,11 @@ #include #include -#include "netgraph/core/detail/traversal.hpp" +#include "netgraph/core/detail/search_detail.hpp" #include "netgraph/core/eligibility.hpp" #include "netgraph/core/graph.hpp" #include "netgraph/core/options.hpp" -#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/route_structures.hpp" #include "netgraph/core/types.hpp" namespace netgraph::core::detail { @@ -32,7 +32,7 @@ namespace netgraph::core::detail { // Round robin: give floor(total / k) to each of k recipients, plus one to the first // total mod k in caller order. Edge shares use ascending EdgeId; shares among a source's -// flows use flow order. Used by EqualBalanced (Lossless and Lossy) at every node and to split a +// flows use flow order. Used by Equal (Lossless and Lossy) at every node and to split a // source's amount over its flows. // Visit only the n positive shares (n = min(total, k)); later entries stay 0 in a zeroed output. // The callback form computes the split once and calls share(i, x) in index order for i in @@ -73,11 +73,11 @@ void highest_averages(Amount total, std::span weights, std::span values {}; }; -struct KernelPlan { - FlowPlacement placement {FlowPlacement::MaxFlow}; - Admission admission {Admission::Lossless}; - std::vector route {}; // ascending: the plan's route (a single flow's record bundle) - std::vector members {}; // ascending: the split graph +struct PreparedRoute { + RouteAllocation allocation {RouteAllocation::Optimized}; + std::vector support_edges {}; // ascending: the plan's route (a single flow's record route) + std::vector forwarding_edges {}; // ascending: the split graph std::vector weights {}; // Weighted: per member (positive), frozen; else empty // Destinations ascend. Nodes have a topological order: every member's tail precedes its head - // (a single root comes first). Position p's out-members are members[out_begin[p] .. - // out_end[p]); they are consecutive in ascending EdgeId because EdgeIds sort by source first. + // (a single root comes first). Position p's out-members are members[outgoing_begin[p] .. + // outgoing_end[p]); they are consecutive in ascending EdgeId because EdgeIds sort by source first. // Each member also stores its head's position. Empty split graph means empty structure. The // roots (ascending: the sources that inject) and per root its position, or -1 when it has no // member. All views share one block owned by the plan (layout()), so the structure takes one // allocation whatever the number of roots. - std::span roots {}; - std::span root_pos {}; - std::span dsts {}; - std::span topo {}; - std::span out_begin {}; - std::span out_end {}; - std::span head_pos {}; - std::span terminal {}; - - KernelPlan() = default; - KernelPlan(const KernelPlan& other); - KernelPlan(KernelPlan&& other) noexcept; - KernelPlan& operator=(const KernelPlan& other); - KernelPlan& operator=(KernelPlan&& other) noexcept; - ~KernelPlan() = default; + std::span sources {}; + std::span source_positions {}; + std::span destinations {}; + std::span topological_order {}; + std::span outgoing_begin {}; + std::span outgoing_end {}; + std::span edge_destination_positions {}; + std::span is_destination {}; + + PreparedRoute() = default; + PreparedRoute(const PreparedRoute& other); + PreparedRoute(PreparedRoute&& other) noexcept; + PreparedRoute& operator=(const PreparedRoute& other); + PreparedRoute& operator=(PreparedRoute&& other) noexcept; + ~PreparedRoute() = default; // The writable views of a new block: the roots and the destinations copied in, every root's // position -1, the structure for `positions` nodes and `num_members` members zeroed. One // allocation, made before anything changes (a failure leaves the plan as it was); the previous // block is released. struct Layout { - std::span root_pos; - std::span topo; - std::span out_begin; - std::span out_end; - std::span head_pos; - std::span terminal; + std::span source_positions; + std::span topological_order; + std::span outgoing_begin; + std::span outgoing_end; + std::span edge_destination_positions; + std::span is_destination; }; Layout layout(std::span roots, std::span destinations, std::size_t positions, std::size_t num_members); private: - // Points the views into store_ for these sizes (the layout's order: roots, root_pos, dsts, topo, - // out_begin, out_end, head_pos, then terminal as bytes). + // Points the views into store_ for these sizes (the layout's order: sources, source_positions, + // destinations, topological_order, outgoing_begin, outgoing_end, edge_destination_positions, + // then terminal as bytes). Layout point(std::size_t num_roots, std::size_t num_dsts, std::size_t positions, std::size_t num_members) noexcept; std::vector store_ {}; }; -// The edges of `dag` that `elig` allows (every one when null) and that lie on some walk from -// `src` to the destination set (edges leaving a destination removed: destinations are terminal), +// The edges of `dag` that `eligibility` allows (every one when null) and that lie on some walk from +// `source` to the destination set (edges leaving a destination removed: destinations are terminal), // ascending. -[[nodiscard]] std::vector prune(const Graph& g, const PredDAG& dag, NodeId src, - std::span dsts, const Eligibility* elig = nullptr); +[[nodiscard]] std::vector prune(const Graph& graph, const PredecessorDAG& dag, NodeId source, + std::span destinations, const Eligibility* eligibility = nullptr); -// The minimum walk cost from `src` to the destination set over `route` (a record's bundle: -// its route cost); kUnreachable when the route has no such walk. The split-graph builder's +// The minimum walk cost from `source` to the destination set over `route` (a record's route: +// its min_route_cost); kUnreachable when the route has no such walk. The split-graph builder's // cost pass alone: no plan is built. -[[nodiscard]] Cost route_cost(const Graph& g, const PredDAG& route, NodeId src, - std::span dsts); +[[nodiscard]] Cost min_route_cost(const Graph& graph, const PredecessorDAG& route, NodeId source, + std::span destinations); -// The plan of a new flow on `route` (acyclic; the flow's DAG or path, its record's bundle), its -// Weighted weights from `weights` (WeightSource; its creation view aligned with the route's edges -// in ascending EdgeId): MaxFlow and EqualBalanced every route edge (an edge of capacity 0 is a -// member that carries nothing: EqualBalanced still gives it its round-robin share), Weighted the +// The plan of a new flow on `route` (acyclic; the flow's DAG or path, its record's route), its +// Weighted weights from `weights` (a WeightSource; its creation view aligned with the route's edges +// in ascending EdgeId): Optimized and Equal every route edge (an edge of capacity 0 is a +// member that carries nothing: Equal still gives it its round-robin share), Weighted the // edges of positive weight, with those weights; Lossy keeps its kernel's membership. The members -// are pruned to the walks from src to the destination set (none leaving a destination) and given -// their topological structure, in one pass. With `cost`, the route's minimum walk cost -// (route_cost) is computed in the same pass when every route edge is a member. `dsts` ascending -// and disjoint from src. -[[nodiscard]] KernelPlan make_plan(const Graph& g, FlowPlacement placement, Admission admission, - const WeightSource& weights, NodeId src, std::span dsts, - const PredDAG& route, Cost* cost = nullptr); -// The same plan with several roots (a CostOnly demand's pooled program): the members are pruned to -// the walks from any root to the destination set; `roots` ascending and disjoint from `dsts`. -[[nodiscard]] KernelPlan make_plan(const Graph& g, FlowPlacement placement, Admission admission, +// are pruned to the walks from `source` to the destination set (none leaving a destination) and +// given their topological structure, in one pass. With `cost`, the route's minimum walk cost +// (min_route_cost) is computed in the same pass when every route edge is a member. `destinations` +// ascending and disjoint from `source`. +[[nodiscard]] PreparedRoute prepare_route(const Graph& graph, RouteAllocation allocation, Admission admission, + const WeightSource& weights, NodeId source, std::span destinations, + const PredecessorDAG& route, Cost* cost = nullptr); +// The same plan with several roots (a ShortestPaths demand's pooled program): the members are pruned to +// the walks from any root to the destination set; `roots` ascending and disjoint from `destinations`. +[[nodiscard]] PreparedRoute prepare_route(const Graph& graph, RouteAllocation allocation, Admission admission, const WeightSource& weights, std::span roots, - std::span dsts, const PredDAG& route); + std::span destinations, const PredecessorDAG& route); -// The plan of a supplied split route (from_routes): `dag` pruned to the walks from `src` to the -// destination set (the plan's route, ascending), its members every route edge (EqualBalanced) or +// The plan of a supplied split route (from_routes): `dag` pruned to the walks from `source` to the +// destination set (the plan's route, ascending), its members every route edge (Equal) or // the route edges of positive weight (Weighted: `basis` with `edge_values` one entry per edge, the // explicit weights or the residual snapshot; a weight on an edge of capacity 0 is 0 unless the // basis is the snapshot), with `cost` the route's minimum walk cost. One pass over `dag`, and a -// second only when a Weighted route edge has weight 0. Equal to make_plan on the pruned route. -[[nodiscard]] KernelPlan make_route_plan(const Graph& g, FlowPlacement placement, WeightBasis basis, - std::span edge_values, NodeId src, - std::span dsts, const PredDAG& dag, Cost* cost); - -// A plan's replay under a mask (8.4): its members that `elig` allows (every one when null), pruned -// to the walks from `roots` (ascending) to `dsts` (ascending; the allowed destinations), with the -// members' frozen weights; members of capacity 0 stay (an EqualBalanced member keeps its share). +// second only when a Weighted route edge has weight 0. Equal to prepare_route on the pruned route. +[[nodiscard]] PreparedRoute prepare_supplied_route(const Graph& graph, RouteAllocation allocation, WeightBasis basis, + std::span edge_values, NodeId source, + std::span destinations, const PredecessorDAG& dag, Cost* cost); + +// A plan's replay under a mask: its members that `eligibility` allows (every one when null), +// pruned to the walks from `roots` (ascending) to `destinations` (ascending; the allowed ones), with the +// members' frozen weights; members of capacity 0 stay (an Equal member keeps its share). // The route is the plan's. -[[nodiscard]] KernelPlan restrict_plan(const Graph& g, const KernelPlan& plan, std::span roots, - std::span dsts, const Eligibility* elig); +[[nodiscard]] PreparedRoute restrict_prepared_route(const Graph& graph, const PreparedRoute& plan, std::span roots, + std::span destinations, const Eligibility* eligibility); -// ---------------------------------------------------------------- CostOnly creation +// ---------------------------------------------------------------- ShortestPaths creation // std::lower_bound(a, x) on an ascending `a`, found from position `hint` (the creation walk's // previous range): a galloping probe toward x (steps of 1, 2, 4, ... between probes), then a @@ -194,41 +194,42 @@ struct KernelPlan { // position holding a value >= x, a.size() when none); only the probes differ. [[nodiscard]] std::size_t lower_bound_from(std::span a, std::size_t hint, EdgeId x) noexcept; -// The creation products of a CostOnly flow: its record bundle, its plan and its route cost. -struct CreationProducts { - std::shared_ptr bundle {}; - KernelPlan plan {}; - Cost cost {kUnreachable}; +// The creation products of a ShortestPaths flow: its record route, its plan and its route cost. +struct PreparedRouteResult { + std::shared_ptr route {}; + PreparedRoute prepared_route {}; + Cost min_route_cost {kUnreachable}; }; -// Build a CostOnly flow's route, record bundle, plan and cost in one pass. `support` contains -// all static shortest paths to sorted destinations `dsts`; start at `src` and apply selection -// on `view`. The result matches support_route, bundle construction and make_plan: reuse -// `support` if it is the whole route, otherwise build its bundle with PredDAGBuilder::of_edges. +// Build a ShortestPaths flow's route, record route DAG, plan and cost in one pass. `support` contains +// all static shortest paths to the sorted `destinations`; start at `source` and apply the route +// choice on `view`. The result matches support_route, the route's construction and prepare_route: +// reuse `support` if it is the whole route, otherwise build the route with +// PredecessorDAGBuilder::of_edges. // Requires multipath and static membership (all kernels except Weighted with ResidualSnapshot // weights; a Weighted route edge of weight 0 also returns nullopt). // While building, check: every route edge can be a member; none leaves a destination; every // route node reaches a destination; the source is first in topological order; no cycle exists; // and each tail's members are consecutive. These checks ensure members == route. -// Return nullopt on a failed condition or if src reaches no destination; the caller then uses +// Return nullopt on a failed condition or if `source` reaches no destination; the caller then uses // the separate routines. No per-call allocation is proportional to the whole graph's size. -[[nodiscard]] std::optional cost_only_creation(const Graph& g, - const std::shared_ptr& support, - NodeId src, std::span dsts, - const PathSelection& selection, PriorityFn view, - FlowPlacement placement, Admission admission, +[[nodiscard]] std::optional prepare_shortest_paths(const Graph& graph, + const std::shared_ptr& support, + NodeId source, std::span destinations, + const RouteChoice& choice, PriorityReader view, + RouteAllocation allocation, Admission admission, const WeightSource& weights); // ---------------------------------------------------------------- allocation -// The cumulative allocation alloc(T) of a Weighted or EqualBalanced plan, member-aligned: T +// The cumulative allocation alloc(T) of a Weighted or Equal plan, member-aligned: T // enters as round robin over the roots (all of it for one root); node by node in topological // order, a node's inflow (its own injection plus the sum of its in-member allocations) is split // by round robin or highest averages. With `limit` (member-aligned) it stops at the first member // above its limit and returns false. A positive share of a root without a member (a share with no // route) is a logic error: the Lossless searches stay at or below the number of roots before the // first such root. -bool allocate(const KernelPlan& plan, Amount total, std::span out, std::span limit = {}); +bool allocate(const PreparedRoute& plan, Amount total, std::span out, std::span limit = {}); // Find the largest T whose allocation fits each entry of member-aligned view_m. The upper // bound is the sum of the view on the roots' members, and at most the number of roots before the @@ -239,27 +240,27 @@ bool allocate(const KernelPlan& plan, Amount total, std::span out, std:: // at most 62 search probes (enough to bisect the units domain below 2^62); throw std::logic_error // if that bound is exceeded. Evaluating the upper bound first, or a Lossless step's target, // is an allocation evaluation and is not counted as a search probe. -struct TMax { +struct LosslessBound { Amount value {0}; - std::int32_t iterations {0}; + std::int32_t probes {0}; }; -[[nodiscard]] TMax t_max(const KernelPlan& plan, std::span view_m); +[[nodiscard]] LosslessBound max_lossless_offer(const PreparedRoute& plan, std::span view_m); // One Lossless step of one flow (the amounts stage): T_new = max(T, min(T + request, // T_max(V))) on the replacement view V = W + own (member-aligned `view_m`), with `own_m` the -// flow's committed allocation alloc(T) (member-aligned). MaxFlow solves the flow core on the +// flow's committed allocation alloc(T) (member-aligned). Optimized solves the flow core on the // split graph with cap T + request (uncapped for +inf) and reports the solve's marginal curve; -// Weighted and EqualBalanced probe T + request first and search T_max (as t_max does) only when +// Weighted and Equal probe T + request first and search T_max (as max_lossless_offer does) only when // it does not fit: the result is the same T_new. `request` nullopt is +inf. `alloc` is the new -// member-aligned allocation (own_m itself when T is unchanged on a Weighted or EqualBalanced +// member-aligned allocation (own_m itself when T is unchanged on a Weighted or Equal // plan). struct LosslessStep { - Amount total {0}; - std::vector alloc {}; - std::int32_t iterations {0}; // probes of this step's T_max search (at most 62) - std::vector> cost_distribution {}; // MaxFlow: the solve's marginal curve + Amount admitted {0}; + std::vector edge_flows {}; + std::int32_t probes {0}; // probes of this step's T_max search (at most 62) + std::vector> marginal_cost_curve {}; // Optimized: the solve's marginal curve }; -[[nodiscard]] LosslessStep lossless_step(const Graph& g, const KernelPlan& plan, Amount total, +[[nodiscard]] LosslessStep lossless_step(const Graph& graph, const PreparedRoute& plan, Amount total, std::span view_m, std::span own_m, std::optional request); @@ -280,12 +281,12 @@ struct Injection { // arrivals on it, the rest being each root's drop there. struct Attribution { struct Entry { - std::int32_t member {0}; + std::int32_t edge_position {0}; Amount carried {0}; - Amount dropped {0}; + Amount drops {0}; }; std::vector offered {}; - std::vector source_loss {}; + std::vector source_drops_by_source {}; std::vector delivered {}; std::vector> entries {}; }; @@ -294,17 +295,17 @@ struct Attribution { // empty: no capacity limit, the no-drop forwarding of an admitted total): every node splits its // inflow (own injection plus carried arrivals) once by the kernel's rule, each member carries // min(arrivals, view) and drops the rest; with `attr`, the per-root part as well. `offered` is -// the sum of the injections (first_hop: what was injected), `source_loss` the injections of roots +// the sum of the injections (first_hop: what was injected), `source_drops` the injections of roots // without a member. struct Forwarding { Amount offered {0}; - Amount injected {0}; - Amount source_loss {0}; + Amount network_entered {0}; + Amount source_drops {0}; Amount delivered {0}; - std::vector carried {}; // member-aligned - std::vector drops {}; // member-aligned + std::vector edge_flows {}; // member-aligned + std::vector edge_drops {}; // member-aligned }; -[[nodiscard]] Forwarding forward(const KernelPlan& plan, const Injection& in, std::span w_m, +[[nodiscard]] Forwarding forward(const PreparedRoute& plan, const Injection& in, std::span w_m, Attribution* attr = nullptr); } // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/search_detail.hpp b/include/netgraph/core/detail/search_detail.hpp new file mode 100644 index 0000000..8511b2d --- /dev/null +++ b/include/netgraph/core/detail/search_detail.hpp @@ -0,0 +1,176 @@ +/* Shared traversal for spf, policy routes, cached shortest-path supports and KSP alternatives. + A support contains every edge on the eligible shortest paths. A KSP spur search finds an + alternative suffix from a node on an earlier path. + + Dijkstra finalises the nearest pending node, scanning out-edges for Forward and in-edges + for Reverse. Both heap and cyclic distance-bucket queues pop in (distance, node) order; + buckets are used when the graph's costs fit 65,536 buckets. A candidate must pass static + eligibility and any residual-capacity threshold; its capacity is never read (an edge of + capacity 0 is searched like any other). + A tight edge extends a shortest path exactly: d(u) + cost(e) = d(v) in traversal direction. + Positive costs make these edges unique for a fixed member graph regardless of equal-distance + pop order. Record them in per-node lists; on output, parallel_edges = false (Collapse) selects + one member per (u, v) by replaces(), without changing distances. + With targets, stop when the first target at distance d* is popped. Every nearer node is + already final, so positive costs ensure every target at d* has its final distance too. + Keep only tight edges on walks to these nearest targets (anycast pruning). + Extract the single path from that DAG by bottleneck under a Higher* tie rule (largest + minimum edge score), then fewest hops, then smallest EdgeId sequence. Increasing search + distance orders every predecessor before its child, so no second traversal is needed. + Each call exclusively borrows the thread's workspace (a lease). Reset it on every exit, + including exceptions: the touched nodes only, or the whole arrays when a quarter or more of + the nodes were touched; refuse overlapping leases. +*/ +#pragma once + +#include +#include +#include +#include + +#include "netgraph/core/detail/hooks_flag.hpp" +#include "netgraph/core/graph.hpp" +#include "netgraph/core/options.hpp" +#include "netgraph/core/route_structures.hpp" +#include "netgraph/core/search.hpp" +#include "netgraph/core/types.hpp" + +namespace netgraph::core::detail { + +// A route choice as the searches read it: the tie rule, all equal-cost walks (multipath) or the +// canonical single path, and whether every parallel edge of a (u, v) pair is kept (parallel_edges). +// The public options (SpfOptions, KspOptions, ShortestPaths, DistributedTE) each give it its fields: +// KspOptions and DistributedTE always order single paths. +struct RouteChoice { + RouteTieBreak tie_break {RouteTieBreak::FewerHops}; + bool multipath {true}; + bool parallel_edges {true}; + // A Higher* tie rule: the edge score breaks cost ties. + [[nodiscard]] bool prefers_score() const noexcept { return tie_break != RouteTieBreak::FewerHops; } + // The ineffective tie rule (ShortestPaths and spf): a Higher* tie rule over every equal-cost walk + // and every parallel edge has nothing to choose. + [[nodiscard]] bool tie_is_ineffective() const noexcept { return prefers_score() && multipath && parallel_edges; } + [[nodiscard]] bool single_path() const noexcept { return !multipath; } + friend bool operator==(const RouteChoice&, const RouteChoice&) = default; +}; + +// An exact edge score: num / den with den >= 1 (den == 1 for the capacity and the availability, +// the capacity for the headroom on a positive edge); `infinite` above every finite value (the +// bottleneck of an empty walk). +struct Priority { + Amount num {0}; + Amount den {1}; + bool infinite {false}; +}; +[[nodiscard]] int compare(const Priority& a, const Priority& b) noexcept; // -1, 0, 1 + +// The score of an edge with `residual` units available of `capacity` under a Higher* tie rule: the +// capacity units (HigherCapacity), the residual units (HigherAvailableCapacity) or the rational +// residual / capacity (HigherHeadroom; 0 on an edge of capacity 0). FewerHops reads no score (the +// capacity is returned and never compared). +[[nodiscard]] Priority priority_value(RouteTieBreak tie_break, Amount residual, Amount capacity) noexcept; + +// The per-edge scores a search reads: priority_value on `residual`, or, when it is empty (no +// residual), on the static capacity as the residual (HigherCapacity and HigherAvailableCapacity read +// the capacity, HigherHeadroom 1 on a positive edge and 0 on an edge of capacity 0). +struct PriorityValues { + const Graph* graph {nullptr}; + RouteTieBreak tie_break {RouteTieBreak::FewerHops}; + std::span residual {}; + [[nodiscard]] Priority of(EdgeId e) const noexcept; +}; + +// Any source of per-edge priority values (a search's PriorityValues, a policy's working view), +// without a virtual call or an allocation. +struct PriorityReader { + const void* context {nullptr}; + Priority (*function)(const void*, EdgeId) noexcept {nullptr}; + [[nodiscard]] Priority operator()(EdgeId e) const noexcept { return function(context, e); } + [[nodiscard]] static PriorityReader of(const PriorityValues& values) noexcept; +}; + +// replaces: whether member `e` replaces `cur`, the choice so far among the +// eligible members of one (u, v) pair seen in ascending EdgeId (cur < e): the lower cost, then +// under a Higher* tie rule (`prefer`) the higher score; on a tie the lower EdgeId (cur) stays. +// `value(e)` reads the score of an edge on the view of the route choice. +template +[[nodiscard]] bool replaces(const Graph& graph, EdgeId e, EdgeId cur, bool prefer, const Value& value) { + const auto cost = graph.edge_costs(); + const Cost ce = cost[static_cast(e)]; + const Cost cc = cost[static_cast(cur)]; + if (ce != cc) return ce < cc; + return prefer && compare(value(e), value(cur)) > 0; +} + +// ---------------------------------------------------------------- queue dispatch + +// The bucket queue's limit (an engineering cap, not a proven crossover): Auto takes the buckets +// when W = max_edge_cost / max(1, edge_cost_gcd) + 1 <= kMaxBucketWidth. +inline constexpr std::int64_t kMaxBucketWidth = std::int64_t {1} << 16; +// W of graph (1 on a graph without edges: max_edge_cost and edge_cost_gcd are 0 there). +[[nodiscard]] std::int64_t bucket_width(const Graph& graph) noexcept; +// Whether a search on graph with `queue` runs on the buckets (Heap never does). +[[nodiscard]] bool uses_buckets(const Graph& graph, SpfQueue queue) noexcept; + +// ---------------------------------------------------------------- searches of validated inputs + +// The candidates of a search (validated by the caller): the static Eligibility (null: +// everything allowed) and a residual gate (`residual` empty: none; else E entries, an edge needs +// residual >= min_residual >= 1). Capacity is not a condition. +struct SearchFilter { + const Eligibility* eligibility {nullptr}; + std::span residual {}; + Amount min_residual {1}; +}; + +// A policy's route and the cost of its walks: its edges in ascending EdgeId (support_route), or +// a single path's in walk order (route_search). +struct SearchRoute { + std::vector edges {}; + Cost cost {kUnreachable}; +}; + +// T1's CSPF: forward from `source` toward the destination set (allowed ones; disjoint from it) over +// the candidates of `gate` (min_residual 0: no bandwidth filter), Collapse and the staged single +// path by `choice` (its multipath is not read) with the scores on `gate.residual`; +// the path's edges in walk order, nullopt when no destination is reached. +[[nodiscard]] std::optional route_search(const Graph& graph, const SearchFilter& gate, const RouteChoice& choice, + NodeId source, std::span destinations); + +// ShortestPaths's projection of a cached full static support: the support edges +// reachable from `source` (ascending `support`: a reverse multipath DAG rooted at the destination +// set), Collapse by `choice` on the scores `view` (no residual gating), and for +// multipath = false the staged canonical single path on that part, its distances derived from the +// support itself. An empty route when `source` reaches no destination in the support. +[[nodiscard]] SearchRoute support_route(const Graph& graph, std::span support, NodeId source, + std::span destinations, const RouteChoice& choice, PriorityReader view); + +// The full static support of a search from (Forward) or toward (Reverse) the root set (a +// normalised set: nonempty, in range, ascending, no duplicates; excluded roots skipped): every +// tight edge of the statically eligible member graph (multipath, parallel edges, no residual) over the +// nodes it reaches, forward-oriented (the ShortestPathCache's value, and a ShortestPaths policy's DAG when it has +// no cache). The empty DAG when no root is allowed. +[[nodiscard]] PredecessorDAG static_support(const Graph& graph, std::span roots, Direction direction, + const Eligibility* eligibility); + +// The static cost from each of `sources` to the nearest of `destinations` (in range, ascending, no +// duplicates, possibly empty; allowed ones) over the statically eligible edges, whatever their +// capacity, kUnreachable where there is no walk, and everywhere when no destination is allowed +// (the T1 and CentralizedTE rosters and T1's CostStretch baseline). +[[nodiscard]] std::vector static_costs(const Graph& graph, const Eligibility* eligibility, std::span destinations, + std::span sources); + +// The validation of a cost ceiling at use (ksp and T1): an AbsoluteCost's cost >= 0, a +// CostStretch's factor >= 1; std::invalid_argument naming cost_ceiling. +void check_ceiling(const std::optional& ceiling); + +#if NETGRAPH_CORE_PRIVATE_HOOKS +// Test evidence (C++ tests, hooks builds only): how many of this thread's searches ran on the +// bucket queue; a search that leaves the count unchanged ran on the heap. +struct QueueCounts { + std::int64_t buckets {0}; +}; +QueueCounts& thread_queue_counts() noexcept; +#endif + +} // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/trace.hpp b/include/netgraph/core/detail/trace.hpp index f96ff66..76b3c68 100644 --- a/include/netgraph/core/detail/trace.hpp +++ b/include/netgraph/core/detail/trace.hpp @@ -1,7 +1,7 @@ /* The transaction trace of a placement call (internal diagnostics for the tests, which compare it key by key with the same trace of their independent model of the policy): a small JSON-like value of the call's intermediate values: the roster, the routes prepared at the - epoch's first positive call, CostOnly's offers or bound, and for the controllers the + epoch's first positive call, ShortestPaths's offers or bound, and for the controllers the bisection probes, the solve's view and capacities, the flow core's values and the shares. Filled only in a build with the private hooks, when a call asks for it (detail::place_traced); other calls build only empty values. */ diff --git a/include/netgraph/core/detail/traversal.hpp b/include/netgraph/core/detail/traversal.hpp deleted file mode 100644 index 6cef241..0000000 --- a/include/netgraph/core/detail/traversal.hpp +++ /dev/null @@ -1,158 +0,0 @@ -/* Shared traversal for spf, policy routes, cached shortest-path supports and KSP alternatives. - A support contains every edge on the eligible shortest paths. A KSP spur search finds an - alternative suffix from a node on an earlier path. - - Dijkstra finalises the nearest pending node, scanning out-edges for Forward and in-edges - for Reverse. Both heap and cyclic distance-bucket queues pop in (distance, node) order; - buckets are used when the graph's costs fit 65,536 buckets. A candidate must pass static - eligibility and any residual-capacity threshold; its capacity is never read (an edge of - capacity 0 is searched like any other). - A tight edge extends a shortest path exactly: d(u) + cost(e) = d(v) in traversal direction. - Positive costs make these edges unique for a fixed member graph regardless of equal-distance - pop order. Record them in per-node lists; on output, multi_edge = false (Collapse) selects - one member per (u, v) by select_adjacency, without changing distances. - With targets, stop when the first target at distance d* is popped. Every nearer node is - already final, so positive costs ensure every target at d* has its final distance too. - Keep only tight edges on walks to these nearest targets (anycast pruning). - Extract the single path from that DAG by bottleneck under PreferHigherPriority (largest - minimum edge priority), then fewest hops, then smallest EdgeId sequence. Increasing search - distance orders every predecessor before its child, so no second traversal is needed. - Each call exclusively borrows the thread's workspace (a lease). Reset it on every exit, - including exceptions: the touched nodes only, or the whole arrays when a quarter or more of - the nodes were touched; refuse overlapping leases. -*/ -#pragma once - -#include -#include -#include -#include - -#include "netgraph/core/detail/hooks_flag.hpp" -#include "netgraph/core/graph.hpp" -#include "netgraph/core/options.hpp" -#include "netgraph/core/pred_dag.hpp" -#include "netgraph/core/search.hpp" -#include "netgraph/core/types.hpp" - -namespace netgraph::core::detail { - -// An exact priority value: num / den with den >= 1 (den == 1 for Residual and Capacity, the -// capacity for Headroom on a positive edge); `infinite` above every finite value (the bottleneck -// of an empty walk). -struct Priority { - Amount num {0}; - Amount den {1}; - bool infinite {false}; -}; -[[nodiscard]] int compare(const Priority& a, const Priority& b) noexcept; // -1, 0, 1 - -// The priority value of an edge with `residual` units left of `capacity`: the residual units -// (Residual), the capacity units (Capacity) or the rational residual / capacity (Headroom; 0 on -// an edge of capacity 0). -[[nodiscard]] Priority priority_value(EdgePriority priority, Amount residual, Amount capacity) noexcept; - -// The per-edge priority values a search reads: priority_value on `residual`, or, when it is -// empty (no residual), on the static capacity as the residual (Residual and Capacity read the -// capacity, Headroom 1 on a positive edge and 0 on an edge of capacity 0). -struct PriorityValues { - const Graph* g {nullptr}; - EdgePriority priority {EdgePriority::Capacity}; - std::span residual {}; - [[nodiscard]] Priority of(EdgeId e) const noexcept; -}; - -// Any source of per-edge priority values (a search's PriorityValues, a policy's working view), -// without a virtual call or an allocation. -struct PriorityFn { - const void* ctx {nullptr}; - Priority (*fn)(const void*, EdgeId) noexcept {nullptr}; - [[nodiscard]] Priority operator()(EdgeId e) const noexcept { return fn(ctx, e); } - [[nodiscard]] static PriorityFn of(const PriorityValues& values) noexcept; -}; - -// select_adjacency: whether member `e` replaces `cur`, the choice so far among the -// eligible members of one (u, v) pair seen in ascending EdgeId (cur < e): the lower cost, then -// under PreferHigherPriority (`prefer`) the higher priority value; on a tie the lower EdgeId -// (cur) stays. `value(e)` reads the priority value of an edge on the view of the selection. -template -[[nodiscard]] bool replaces(const Graph& g, EdgeId e, EdgeId cur, bool prefer, const Value& value) { - const auto cost = g.cost(); - const Cost ce = cost[static_cast(e)]; - const Cost cc = cost[static_cast(cur)]; - if (ce != cc) return ce < cc; - return prefer && compare(value(e), value(cur)) > 0; -} - -// ---------------------------------------------------------------- queue dispatch - -// The bucket queue's limit (an engineering cap, not a proven crossover): Auto takes the buckets -// when W = max_cost / max(1, cost_gcd) + 1 <= kMaxBucketWidth. -inline constexpr std::int64_t kMaxBucketWidth = std::int64_t {1} << 16; -// W of g (1 on a graph without edges: max_cost and cost_gcd are 0 there). -[[nodiscard]] std::int64_t bucket_width(const Graph& g) noexcept; -// Whether a search on g with `queue` runs on the buckets (Heap never does). -[[nodiscard]] bool uses_buckets(const Graph& g, SpfQueue queue) noexcept; - -// ---------------------------------------------------------------- searches of validated inputs - -// The candidates of a search (validated by the caller): the static Eligibility (null: -// everything allowed) and a residual gate (`residual` empty: none; else E entries, an edge needs -// residual >= min_residual >= 1). Capacity is not a condition. -struct Gate { - const Eligibility* elig {nullptr}; - std::span residual {}; - Amount min_residual {1}; -}; - -// A policy's route and the cost of its walks: its edges in ascending EdgeId (support_route), or -// a single path's in walk order (route_search). -struct SearchRoute { - std::vector edges {}; - Cost cost {kUnreachable}; -}; - -// T1's CSPF: forward from `src` toward the destination set (allowed ones; disjoint from src) over -// the candidates of `gate` (min_residual 0: no bandwidth filter), Collapse and the staged single -// path by `selection` (its multipath is not read) with the priority values on `gate.residual`; -// the path's edges in walk order, nullopt when no destination is reached. -[[nodiscard]] std::optional route_search(const Graph& g, const Gate& gate, const PathSelection& selection, - NodeId src, std::span dests); - -// CostOnly's projection of a cached full static support: the support edges -// reachable from `src` (ascending `support`: a reverse multipath DAG rooted at the destination -// set), Collapse by `selection` on the priority values `view` (no residual gating), and for -// multipath = false the staged canonical single path on that part, its distances derived from the -// support itself. An empty route when src reaches no destination of `dests` in the support. -[[nodiscard]] SearchRoute support_route(const Graph& g, std::span support, NodeId src, - std::span dests, const PathSelection& selection, PriorityFn view); - -// The full static support of a search from (Forward) or toward (Reverse) the root set (a -// normalised set: nonempty, in range, ascending, no duplicates; excluded roots skipped): every -// tight edge of the statically eligible member graph (multipath, multi_edge, no residual) over the -// nodes it reaches, forward-oriented (the DagCache's value, and a CostOnly policy's DAG when it has -// no cache). The empty DAG when no root is allowed. -[[nodiscard]] PredDAG static_support(const Graph& g, std::span roots, Direction direction, - const Eligibility* elig); - -// The static cost from each of `sources` to the nearest of `dests` (in range, ascending, no -// duplicates, possibly empty; allowed ones) over the statically eligible edges, whatever their -// capacity, kUnreachable where there is no walk, and everywhere when no destination is allowed -// (the T1 and Global rosters and T1's Stretch baseline). -[[nodiscard]] std::vector static_costs(const Graph& g, const Eligibility* elig, std::span dests, - std::span sources); - -// The validation of a cost ceiling (KSP and T1): Absolute's cost >= 0, -// Stretch's factor finite and in [1, inf); std::invalid_argument naming max_path_cost. -void check_ceiling(const std::optional& ceiling); - -#if NETGRAPH_CORE_PRIVATE_HOOKS -// Test evidence (C++ tests, hooks builds only): how many of this thread's searches ran on the -// bucket queue; a search that leaves the count unchanged ran on the heap. -struct QueueCounts { - std::int64_t buckets {0}; -}; -QueueCounts& thread_queue_counts() noexcept; -#endif - -} // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/tunnels.hpp b/include/netgraph/core/detail/tunnel_setup.hpp similarity index 59% rename from include/netgraph/core/detail/tunnels.hpp rename to include/netgraph/core/detail/tunnel_setup.hpp index 1c44f46..bf5e2f2 100644 --- a/include/netgraph/core/detail/tunnels.hpp +++ b/include/netgraph/core/detail/tunnel_setup.hpp @@ -1,7 +1,7 @@ -/* The tunnel models' computations (internal). T1 (tunnels_t1.cpp): every head sets up its own - tunnels by CSPF on the reservation view. T2 (tunnels_t2.cpp): a controller lays out the same +/* The tunnel models' computations (internal). T1 (distributed_te.cpp): every head sets up its own + tunnels by CSPF on the reservation view. T2 (centralized_te_tunnels.cpp): a controller lays out the same number of tunnels with one common planned bandwidth for every live head. Both programs are built - by tunnel_program (program_data.hpp) and forwarded by the forwarding engine like any other + by distributed_te_program (program_data.hpp) and forwarded by the forwarding engine like any other program. */ #pragma once @@ -18,31 +18,30 @@ namespace netgraph::core::detail { -// RR(x, k, i) = x // k + [i < x % k] (2.3): member i's share of x over k members. +// RR(x, k, i) = x // k + [i < x % k]: member i's share of x over k members. [[nodiscard]] inline Amount rr(Amount x, std::int64_t k, std::int64_t i) noexcept { return x / k + (i < x % k ? 1 : 0); } -// T1's setup (6.2 to 6.4) for the design volume D (< 2^62) over the roster's H heads (ascending) -// with N = ca.tunnels.count tunnels each: head i's share RR(D, H, i), its tunnel j's request +// T1's setup for the design volume D (< 2^62) over the roster's H heads (ascending) +// with N = ca.tunnel_count.per_head tunnels each: head i's share RR(D, H, i), its tunnel j's request // RR(share, N, j); the attempts in round order (round j, heads ascending), every one even after // failures, each on `U` (dense, E entries: the unreserved capacity with this policy's own holds // released, each entry in [0, capacity]) minus the requests of the tunnels already up in this -// setup. An attempt keeps the allowed edges (`elig`) with U >= max(request, +// setup. An attempt keeps the allowed edges (`eligibility`) with U >= max(request, // min_unreserved_bandwidth) (a threshold of 0 keeps every allowed edge), collapses parallel edges -// (selection.multi_edge = false) and takes the single path in the selection's order on static -// costs toward the allowed destinations `dests` (its priorities read U); then the ceiling: -// Absolute(c) inclusive, Stretch(f) as cost <= f * c0 exactly (`c0`: the pool baseline, read only -// for Stretch). Up: the request is subtracted from U on every edge of the path (U is consumed). +// (ca.parallel_edges = false) and takes the single path in the order of ca.tie_break on static +// costs toward the allowed `destinations` (its scores read U); then the ceiling: +// AbsoluteCost(c) inclusive, CostStretch(f) as cost <= f * c0 exactly (`c0`: the pool baseline, read only +// for CostStretch). Up: the request is subtracted from U on every edge of the path (U is consumed). // The tunnels come in round order (index = position: round * H + slot). -[[nodiscard]] std::vector t1_setup(const Graph& g, const Eligibility* elig, std::span roster, - std::span dests, const PathSelection& selection, - const CapacityAware& ca, Cost c0, Amount D, std::vector U); +[[nodiscard]] std::vector setup_distributed_te_tunnels(const Graph& graph, const Eligibility* eligibility, std::span reachable_sources, + std::span destinations, const DistributedTE& ca, Cost c0, Amount D, std::vector U); -// T2's layout (7.2 to 7.7) on V (dense, E entries: the free capacity with this policy's own -// traffic released) for the roster's H heads (ascending) toward the allowed destinations `dests` -// under `elig`: the live heads (those reaching a destination over links with V >= 1), the count k -// (tunnels.count, or the chosen count of "up to"), U (the largest common whole-unit size of k +// T2's layout on V (dense, E entries: the free capacity with this policy's own +// traffic released) for the roster's H heads (ascending) toward the allowed `destinations` +// under `eligibility`: the live heads (those reaching a destination over links with V >= 1), the count k +// (tunnels.per_head, or the chosen count of "up to"), U (the largest common whole-unit size of k // tunnels per live head: common), the exact fluid optimum s* = fluid_num / fluid_den (reduced; 0 / 1 // without a live head), the working size u (planned: min(U, max(1, max live ceil(RR(D, H, i) / k))) // for a finite design D, U for an unlimited one), and at u (U >= 1) the tunnels in round order @@ -56,15 +55,15 @@ struct T2Layout { Amount planned {0}; Amount fluid_num {0}; Amount fluid_den {1}; - std::vector tunnels {}; + std::vector tunnels {}; Counter128 route_cost {}; Counter128 headroom_penalty {}; }; -[[nodiscard]] T2Layout t2_layout(const Graph& g, const Eligibility* elig, std::span roster, - std::span dests, const Tunnels& tunnels, bool headroom, +[[nodiscard]] T2Layout t2_layout(const Graph& g, const Eligibility* eligibility, std::span roster, + std::span destinations, const TunnelCount& tunnels, bool headroom, std::optional design, std::span V); -// T2's objectives (7.3) of a count vector x over `edges` (x[i] tunnels on edges[i]) at size u >= 1 +// T2's objectives of a count vector x over `edges` (x[i] tunnels on edges[i]) at size u >= 1 // on V (dense, E entries): the route cost J = sum cost x and, with `headroom`, the headroom penalty // Phi = the sum over links of capacity B > 0 of floor(2^32 (B - V + j u) / B) for j = 1..x (each // link's sum in closed form). Exact 128-bit: J < K (cost sum) < 2^92; Phi <= 2^32 sum x, where @@ -78,7 +77,7 @@ struct T2Objectives { [[nodiscard]] T2Objectives t2_objectives(const Graph& g, std::span edges, std::span x, std::span V, Amount u, bool headroom); -// The heads' design shares RR(D, H, i) as (head, share) in roster order (TunnelPlan::head_design). -[[nodiscard]] std::vector> head_design(std::span roster, Amount D); +// The heads' design shares RR(D, H, i) as (head, share) in roster order (TunnelPlan::design_by_head). +[[nodiscard]] std::vector> design_by_head(std::span reachable_sources, Amount D); } // namespace netgraph::core::detail diff --git a/include/netgraph/core/eligibility.hpp b/include/netgraph/core/eligibility.hpp index b3ae8a1..70fb66a 100644 --- a/include/netgraph/core/eligibility.hpp +++ b/include/netgraph/core/eligibility.hpp @@ -23,10 +23,10 @@ class Eligibility { [[nodiscard]] std::uint64_t uid() const noexcept { return uid_; } [[nodiscard]] std::span node_allowed() const noexcept { return node_allowed_; } [[nodiscard]] std::span edge_allowed() const noexcept { return edge_allowed_; } - [[nodiscard]] bool node_ok(NodeId v) const noexcept { + [[nodiscard]] bool allows_node(NodeId v) const noexcept { return node_allowed_[static_cast(v)] != 0; } - [[nodiscard]] bool edge_ok(EdgeId e) const noexcept { + [[nodiscard]] bool allows_edge(EdgeId e) const noexcept { return edge_allowed_[static_cast(e)] != 0; } // The intersection of two values of one graph (std::invalid_argument for values of different diff --git a/include/netgraph/core/evaluators.hpp b/include/netgraph/core/evaluators.hpp index 40bdd04..acad0c8 100644 --- a/include/netgraph/core/evaluators.hpp +++ b/include/netgraph/core/evaluators.hpp @@ -1,6 +1,7 @@ -/* The evaluators: capacity (a FlowPolicy placement of +inf on a fresh ledger, the tunnel models' - evaluate of their design; the exact maximum flow is capacity() with routing Global and the optimized origin), - batch_capacity (capacity per pair) and sensitivity (the loss of deleting each candidate edge). */ +/* The evaluators: evaluate_demand (a fresh FlowPolicy's evaluation on a fresh ledger, at the offer; + the exact maximum flow is evaluate_demand of CentralizedTE with the optimized source allocation), + evaluate_pairs (evaluate_demand per pair) and evaluate_edge_failures (the delivery reduction of + deleting each candidate edge). */ #pragma once #include @@ -9,103 +10,108 @@ #include #include -#include "netgraph/core/dag_cache.hpp" +#include "netgraph/core/shortest_path_cache.hpp" #include "netgraph/core/flow_policy.hpp" #include "netgraph/core/graph.hpp" #include "netgraph/core/types.hpp" namespace netgraph::core { -// The options of every evaluator: the configuration, the static Eligibility, the DagCache, the -// optional outputs of each result (sensitivity: of its baseline), `design_demand` (T1's design, -// required and finite; T2's, absent meaning unlimited (Lossless) or the offer (Lossy); every other -// model rejects one) and `offered`, the offer of a T1, T2 or Pinned Lossy evaluation (both absent: -// none; an inner nullopt is +inf). The Eligibility and the cache outlive the call. -// | model | Lossless | Lossy | -// | CostOnly EqualBalanced/Weighted | the uncapped bound (no offered) | the first-hop experiment (no offered) | -// | CostOnly MaxFlow, Global | the uncapped optimum (no offered) | rejected | -// | T1 | the lossless bound of the tunnels set up for the design (no offered) | the design's tunnels forward offered (required and finite) | -// | T2 | the lossless bound of the layout for the design (absent: unlimited; no offered) | offered finite; absent: the design if finite | -// | Pinned | the fixed-program bound (no offered) | offered required and finite | -struct QueryOptions { +// The options of every evaluator: the configuration, the static Eligibility, the ShortestPathCache, the +// optional outputs of each result (evaluate_edge_failures: of its baseline), `design_demand` (T1's design, +// required and finite; T2's, absent meaning the offer when it is finite, else unlimited; every +// other model rejects one) and `offer`, a finite offer for every model (absent: the uncapped +// Lossless question, or the first-hop experiment of ShortestPaths Equal/Weighted Lossy; an inner +// nullopt is an explicit +inf, which the evaluators reject). The Eligibility and the cache outlive +// the call. +// | model | Lossless | Lossy | +// | ShortestPaths Equal/Weighted | no offer: the uncapped bound; finite: up to it | finite: that offer; none: the first-hop experiment | +// | ShortestPaths Optimized, CentralizedTE | no offer: the uncapped optimum; finite: up to it | rejected | +// | T1 | design required; no offer: the tunnels' lossless bound; finite: up to it | design and offer required | +// | T2 | design absent: the offer if finite, else unlimited; no offer: the bound at that design | finite offer; none: the design if finite | +// | Pinned | no offer: the fixed-program bound; finite: up to it | offer required | +struct EvaluationOptions { FlowPolicyConfig config; - const Eligibility* elig {nullptr}; - DagCache* cache {nullptr}; + const Eligibility* eligibility {nullptr}; + ShortestPathCache* cache {nullptr}; OutputOptions outputs {}; std::optional> design_demand {}; - std::optional> offered {}; + std::optional> offer {}; }; -// One candidate edge: loss = baseline placed - placed without the edge (signed, in units, never -// thresholded). +// One candidate edge: delivery_reduction = the baseline's call_delivered - call_delivered without +// the edge (signed, in units, never thresholded). struct SensitivityEntry { EdgeId edge {0}; - Amount loss {0}; + Amount delivery_reduction {0}; }; struct SensitivityResult { PlacementResult baseline {}; - std::vector entries {}; // ascending EdgeId; an absent edge has loss 0 + std::vector entries {}; // ascending EdgeId; an absent edge has delivery_reduction 0 }; -// Each evaluator is one public call on a supplied frozen cache's statistics (dag_cache.hpp): its +// Each evaluator is one public call on a supplied frozen cache's statistics (shortest_path_cache.hpp): its // hits count when it returns; a failed call changes no statistic, except one miss when it raises -// DagCacheMiss. +// ShortestPathCacheMiss. -// place(+inf) of a FlowPolicy with opts.config on a fresh ledger of g (its capacities); Pinned -// Lossy: place(offered); T1: evaluate(+inf, design) Lossless, evaluate(offered, design) Lossy; -// T2: evaluate(+inf, design or unlimited) Lossless, evaluate(offered or the design, design or -// offered) Lossy. The amounts are checked after the policy's construction, in this order: -// `offered` and `design_demand` each an amount in [0, 2^62) or +inf; a design only for T1 and T2 -// (` does not accept design_demand`), T1's required (`T1 capacity requires design_demand`) -// and finite (`T1 requires a finite design demand`); then `offered`: a Lossless model rejects it -// (` LOSSLESS capacity does not accept offered`), CostOnly Lossy too (`CostOnly LOSSY -// capacity uses first-hop injection`), and T1, T2 (without a finite design) and Pinned Lossy -// require it finite (` LOSSY capacity requires finite offered`). -[[nodiscard]] PlacementResult capacity(const Graph& g, std::span sources, - std::span destinations, const QueryOptions& opts); +// The evaluation of a fresh FlowPolicy with options.config on a fresh ledger of graph (its capacities): +// place(offer) (absent: +inf), or for T1 and T2 evaluate(offer, design). Checked in this order: +// the policy's construction (the configuration, in the model matrix's order); then an explicitly given offer (`offer must +// be an integer in [0, 2^62)`, +inf included); then the design demand: only T1 and T2 take one +// (` does not accept design_demand`), in [0, 2^62) or +inf (`design_demand must be an +// integer in [0, 2^62) or permitted +inf`), T1's finite (`DistributedTE requires a finite design +// demand`); then T1's missing design (`DistributedTE evaluation requires design_demand`); then the +// missing Lossy offer: T1 and Pinned require one, T2 takes its finite design instead +// (` LOSSY evaluation requires a finite offer`). +[[nodiscard]] PlacementResult evaluate_demand(const Graph& graph, std::span sources, + std::span destinations, const EvaluationOptions& options); -// Run capacity() per pair, returning results in pair order. Intersect opts.elig with -// per_pair_elig[i]; null entries are allowed, and an empty span supplies no per-pair values. +// Run evaluate_demand() per pair, returning results in pair order. Intersect options.eligibility with +// per_pair_eligibility[i]; null entries are allowed, and an empty span supplies no per-pair values. // The Python binding checks the length of every supplied sequence. -// Before starting workers, validate in order: workers >= 1; opts.elig's and the cache's graph; +// Before starting workers, validate in order: workers >= 1; options.eligibility's and the cache's graph; // a supplied building cache with workers > 1; Pinned (rejected: a program has fixed endpoints); -// the configuration; design_demand and offered (the rules of capacity); and per_pair_elig's length. Then validate each pair completely in index +// the configuration; offer and design_demand (the rules of evaluate_demand); and per_pair_eligibility's length. Then validate each pair completely in index // order: endpoint sets, overlap, Eligibility's graph, the pooled single-path rule for its sources. // This reports the lowest failing pair index. // A supplied building cache requires workers == 1 because it allows one writer. Workers share // a supplied frozen cache, and the one worker uses a supplied building cache; without a supplied // cache each worker gets a private building cache before threads start. // A worker exception aborts the batch; rethrow the exception from the lowest pair index. -// An empty batch returns an empty list. DagCacheMiss always propagates unchanged. +// An empty batch returns an empty list. ShortestPathCacheMiss always propagates unchanged. // An intersection equal to an operand reuses its uid and any prepopulated cache entry. // Otherwise it gets a fresh uid, absent from a frozen cache. To reuse entries, supply already // effective per-pair values with no common Eligibility, or one that contains them. -[[nodiscard]] std::vector batch_capacity( - const Graph& g, const std::vector, std::vector>>& pairs, - const QueryOptions& opts, std::span per_pair_elig, std::int32_t workers); +[[nodiscard]] std::vector evaluate_pairs( + const Graph& graph, const std::vector, std::vector>>& pairs, + const EvaluationOptions& options, std::span per_pair_eligibility, std::int32_t workers); -// Return baseline capacity() and one entry per candidate edge. Unrestricted Global candidates with -// the optimized origin carry positive baseline flow; otherwise every edge opts.elig allows, whatever -// its capacity (deleting an edge of capacity 0 can change routes and rosters, so its loss can be -// nonzero; with the equal origin, a deletion that removes a source from the roster can raise the -// total, a negative loss). Loss is baseline placed minus placed with that edge deleted, using the -// same config, offered and cache. Unrestricted optimized Global starts from the baseline solve's -// final state and repairs it after deleting the edge, using one state copy per worker. The result -// is the exact maximum flow at minimum cost. Global with a support solves every deletion afresh; +// Return the baseline evaluate_demand() and one entry per candidate edge. Unrestricted CentralizedTE +// with the optimized source allocation: the candidates carry positive baseline flow (deleting any +// other edge keeps the baseline feasible, at any offer); otherwise every edge options.eligibility +// allows, whatever its capacity (deleting an edge of capacity 0 can change routes and rosters, so +// its delivery_reduction can be nonzero; with the equal source allocation, a deletion that removes a +// source from the roster can raise the total, a negative delivery_reduction). delivery_reduction is +// the baseline's call_delivered minus the call_delivered with that edge deleted, using the same +// config, offer, design and cache. When the unrestricted optimized CentralizedTE baseline is a +// maximum flow (no offer, or an offer above what it delivers), each deletion starts from the +// baseline solve's final state and repairs it, using one state copy per worker: the exact maximum +// flow at minimum cost. At an offer the baseline delivers (it binds, perhaps below the maximum), +// each deletion is solved afresh at the offer. CentralizedTE with a support solves every deletion afresh; // T1 sets up again for the same design under each deletion, T2 redoes its sizing, count selection // and objectives; Pinned replays the same program under // each deletion (a fixed-route failure question). -// CostOnly skips a deletion when no roster source's reachable part of the static shortest-path -// support contains the edge: no route uses it, so loss is 0. All other deletions use a fresh +// ShortestPaths skips a deletion when no roster source's reachable part of the static shortest-path +// support contains the edge: no route uses it, so its delivery_reduction is 0. All other deletions use a fresh // ledger. A failed deletion fails the call (no partial result), raising the exception of the // lowest failing candidate index. -// Worker and cache rules are as in batch_capacity. Clear each worker's private cache per +// Worker and cache rules are as in evaluate_pairs. Clear each worker's private cache per // candidate because deletion Eligibility uids are fresh and cannot reuse entries. -// Only CostOnly reads the cache. A deletion that needs placement with a frozen cache raises -// DagCacheMiss for its fresh uid. -[[nodiscard]] SensitivityResult sensitivity(const Graph& g, std::span sources, - std::span destinations, const QueryOptions& opts, +// Only ShortestPaths reads the cache. A deletion that needs placement with a frozen cache raises +// ShortestPathCacheMiss for its fresh uid. +[[nodiscard]] SensitivityResult evaluate_edge_failures(const Graph& graph, std::span sources, + std::span destinations, const EvaluationOptions& options, std::int32_t workers); } // namespace netgraph::core diff --git a/include/netgraph/core/flow_ledger.hpp b/include/netgraph/core/flow_ledger.hpp index cdd98dc..8fc8f5f 100644 --- a/include/netgraph/core/flow_ledger.hpp +++ b/include/netgraph/core/flow_ledger.hpp @@ -21,9 +21,9 @@ struct LedgerAccess; // A ledger tracks the flows placed on one graph in two projections that are never added: the // carried traffic (the service baseline B, the available capacity in units before these flows; -// allocated() L, the exact sum of all records' edge amounts; residual() = B - L) and the strict +// carried() L, the exact sum of all records' edge_flows; residual() = B - L) and the strict // holds of T1 tunnels (the reservation baseline R0; reserved() S, the exact sum of all records' -// reserved_edges; unreserved() = R0 - S). Each projection keeps its own bound (0 <= L <= B, +// edge_reservations; unreserved() = R0 - S). Each projection keeps its own bound (0 <= L <= B, // 0 <= S <= R0 per edge); max(L, S) is no occupancy, and traffic may use bandwidth that is held. // Policies alone place, hold or remove through detail::LedgerAccess; there is no public // placement, removal or reservation. All four return int64[E] snapshots in EdgeId order. @@ -36,12 +36,12 @@ struct LedgerAccess; // never changed again) until reset(). class FlowLedger { public: - // `residual` and `unreserved`: the service and reservation baselines in units, each one entry - // per edge in [0, capacity_units[e]] (std::invalid_argument naming the array, residual checked - // first); absent: the capacities. + // `service_baseline` and `reservation_baseline`: the baselines in units, each one entry per + // edge in [0, the edge's capacity] (std::invalid_argument naming the array, service_baseline + // checked first); absent: the capacities. explicit FlowLedger(std::shared_ptr graph); - FlowLedger(std::shared_ptr graph, std::span residual); - FlowLedger(std::shared_ptr graph, std::span residual, std::span unreserved); + FlowLedger(std::shared_ptr graph, std::span service_baseline); + FlowLedger(std::shared_ptr graph, std::span service_baseline, std::span reservation_baseline); FlowLedger(const FlowLedger& other); FlowLedger(FlowLedger&& other); FlowLedger& operator=(const FlowLedger&) = delete; @@ -51,9 +51,9 @@ class FlowLedger { [[nodiscard]] std::uint64_t uid() const; [[nodiscard]] const std::shared_ptr& graph() const; // The graph's static capacities (the ledger's view of them). - [[nodiscard]] std::span capacity_units() const; + [[nodiscard]] std::span edge_capacity_units() const; [[nodiscard]] std::vector residual() const; - [[nodiscard]] std::vector allocated() const; + [[nodiscard]] std::vector carried() const; [[nodiscard]] std::vector reserved() const; [[nodiscard]] std::vector unreserved() const; // Live records (bound and orphaned) as snapshots in FlowId order. @@ -65,12 +65,12 @@ class FlowLedger { // allowed sources. Return statically eligible edges with capacity >= 1 unit leaving that // reachable set, in ascending EdgeId; empty if no such edge remains. This is not a minimum-cut // certificate: it does not follow reverse arcs that could cancel existing flow. - [[nodiscard]] std::vector bottleneck(std::span sources, const Eligibility* elig = nullptr) const; + [[nodiscard]] std::vector saturated_boundary_edges(std::span sources, const Eligibility* eligibility = nullptr) const; // New baselines (the capacities when absent); orphaned records with their allocations and holds // are cleared and their ids retired. Rejected (std::invalid_argument) while a policy is bound. void reset(); - void reset(std::span residual); - void reset(std::span residual, std::span unreserved); + void reset(std::span service_baseline); + void reset(std::span service_baseline, std::span reservation_baseline); private: friend struct detail::LedgerAccess; @@ -81,25 +81,25 @@ class FlowLedger { // The reservation projection costs nothing until something holds: an empty reserved_ is all // zero, an empty reservation_baseline_ is the static capacity. [[nodiscard]] Amount reservation_at(std::size_t e) const noexcept { - return reservation_baseline_.empty() ? graph_->capacity_units()[e] : reservation_baseline_[e]; + return reservation_baseline_.empty() ? graph_->edge_capacity_units()[e] : reservation_baseline_[e]; } [[nodiscard]] Amount reserved_at(std::size_t e) const noexcept { return reserved_.empty() ? 0 : reserved_[e]; } std::shared_ptr graph_ {}; std::uint64_t uid_ {0}; bool usable_ {true}; - std::vector baseline_ {}; - std::vector allocated_ {}; + std::vector service_baseline_ {}; + std::vector carried_ {}; std::vector reservation_baseline_ {}; std::vector reserved_ {}; std::map records_ {}; - std::map> owner_ids_ {}; // owner -> live ids, ascending - std::int64_t next_id_ {0}; - std::int64_t next_owner_ {0}; + std::map> policy_record_counters_ {}; // owner -> live ids, ascending + std::int64_t next_record_counter_ {0}; + std::int64_t next_policy_id_ {0}; // Every owner since the last reset: true while bound, false once orphaned (release() flips // the flag, so it never allocates). - std::map owners_ {}; - std::size_t num_bound_ {0}; + std::map policy_bindings_ {}; + std::size_t num_bound_policies_ {0}; }; } // namespace netgraph::core diff --git a/include/netgraph/core/flow_policy.hpp b/include/netgraph/core/flow_policy.hpp index 621a0ba..c804e0b 100644 --- a/include/netgraph/core/flow_policy.hpp +++ b/include/netgraph/core/flow_policy.hpp @@ -9,13 +9,13 @@ #include #include -#include "netgraph/core/dag_cache.hpp" +#include "netgraph/core/shortest_path_cache.hpp" #include "netgraph/core/flow_ledger.hpp" #include "netgraph/core/flow_record.hpp" #include "netgraph/core/graph.hpp" #include "netgraph/core/options.hpp" -#include "netgraph/core/pred_dag.hpp" -#include "netgraph/core/program.hpp" +#include "netgraph/core/route_structures.hpp" +#include "netgraph/core/forwarding_program.hpp" #include "netgraph/core/types.hpp" namespace netgraph::core { @@ -23,45 +23,50 @@ namespace netgraph::core { namespace detail { struct PolicyEngine; struct PolicyAccess; -class FrozenTally; +class FrozenCacheHitTally; } // namespace detail -// The tunnel count of the tunnel models, per head: `count` in [1, 10000] (checked where a policy -// or an evaluator uses it); `up_to` (T2 only; T1 rejects it): one common count k in 1..count for +// The tunnel count of the tunnel models, per head: `per_head` in [1, 10000] (checked where a policy +// or an evaluator uses it); `up_to` (T2 only; T1 rejects it): one common count k in 1..per_head for // every head, the smallest sufficient one. -struct Tunnels { - std::int64_t count {1}; +struct TunnelCount { + std::int64_t per_head {1}; bool up_to {false}; - friend bool operator==(const Tunnels&, const Tunnels&) = default; + friend bool operator==(const TunnelCount&, const TunnelCount&) = default; }; // Each routing mode has only the fields it uses. -// CostOnly: hop-by-hop routing on each roster source's static shortest routes (all shortest +// ShortestPaths: hop-by-hop routing on each roster source's static shortest routes (all shortest // paths, with no directed cycles, edges of capacity 0 included, or the canonical single // path), prepared once per epoch and fixed for it. The sources of the demand are pooled: a -// router shared by several sources adds their traffic and splits it once. EqualBalanced and Weighted forward the equal origin; MaxFlow is a controller +// router shared by several sources adds their traffic and splits it once. Equal and Weighted forward the equal source allocation; Optimized is a controller // restricted to the union of those routes. Its program: one split route per roster source, -// pooled into one split context (EqualBalanced, Weighted), or the controller's paths (MaxFlow). -// CapacityAware (T1): every roster head sets up its own tunnels.count strict tunnels by CSPF, no +// pooled into one split context (Equal, Weighted), or the controller's paths (Optimized). Its +// route choice: tie_break (RouteTieBreak), multipath (false: the canonical single path) and +// parallel_edges (false: one member of each (u, v) pair). +// DistributedTE (T1): every roster head sets up its own tunnel_count.per_head strict tunnels by CSPF, no // controller. A design volume D is split RR(D, H, h) over the heads and each head's share // RR(d, N, j) over its tunnels; in round order (round j, heads ascending: index j * H + i) each // tunnel keeps the allowed links whose unreserved capacity U (the ledger's, this policy's own // holds released, minus this setup's earlier up tunnels) is at least max(request, // min_unreserved_bandwidth) (a request of 0 with a minimum of 0 has no filter), collapses -// parallel links (multi_edge = false), and takes the single path in the selection's order on -// static costs (priorities read U: Residual U, Headroom U / C, Capacity C); it is Up, holding its -// request on every link, unless no path passes the filter (NoBandwidth) or the cheapest exceeds -// max_path_cost (CostCeiling): Absolute inclusive, Stretch(f) times c0, the smallest static +// parallel links (parallel_edges = false), and takes the single path in the order of tie_break +// on static costs (scores read U: HigherAvailableCapacity U, HigherHeadroom U / C, HigherCapacity +// C); it is Up, holding its +// request on every link, unless no path passes the filter (InsufficientBandwidth) or the cheapest +// exceeds cost_ceiling (CostCeilingExceeded): AbsoluteCost inclusive, CostStretch(f) times c0, the +// smallest static // shortest cost over the roster heads under the mask, zero-capacity links included. Forwarding // is the program's: round robin over the heads, then over a head's up tunnels; a head without // one loses its share. Its program: those tunnels, weight 1 up and 0 down. -// Global: the ideal controller, a minimum-cost maximum flow over the whole eligible graph, or +// CentralizedTE: the ideal controller, a minimum-cost maximum flow over the whole eligible graph, or // exactly over `support` (a DAG of the policy's graph, trimmed to the walks from the sources to // the allowed destinations under the Eligibility), of what the policy already delivers plus this -// call's request (placed_demand() + volume: what an earlier call could not place is not +// call's request (what the policy delivers plus the offer: what an earlier call could not place is not // requested again). Its program: the solved flow cut into paths per source, each path a tunnel // weighted by its amount. -// Global with `tunnels` (T2; `support` must then be absent): a controller lays out, for every live +// CentralizedTE with `tunnel_count` (T2; with `support`, the allowed links are the support's edges +// intersected with the Eligibility, in every step below): a controller lays out, for every live // roster head (one reaching an allowed destination over links with free capacity V >= 1, V the // residual with this policy's own traffic released; the other heads are dead: they keep their // roster position and lose their share), k single-path tunnels with one common whole-unit planned @@ -70,7 +75,7 @@ struct Tunnels { // (unlimited: U), then the cheapest routes (the route-cost sum J), then with prefer_headroom // the smallest headroom penalty (each tunnel on a link pays floor(2^32 (B - V + j u) / B) for its // slot j, B the static capacity), then one fixed unit-by-unit augmentation (fewest arcs, then the -// smallest arc keys). k = tunnels.count, or with up_to the smallest count in 1..count whose +// smallest arc keys). k = tunnel_count.per_head, or with up_to the smallest count in 1..per_head whose // program carries the live part of D (else the best, then the smallest count). U = 0 with live // heads, or no live head, gives a program without tunnels that keeps the roster. Forwarding is // the program's: round robin over the heads, then over a head's tunnels. Its program: the @@ -80,78 +85,81 @@ struct Tunnels { // split route loses its excluded members, the roster is rebuilt from the program's basis); the // nodes and edges `black_holes` excludes are black holes (stale forwarding: the program is // forwarded unchanged and traffic reaching one is dropped there). One record per program entry. -struct CostOnly {}; -struct CapacityAware { - Tunnels tunnels {}; - std::optional max_path_cost {}; +struct ShortestPaths { + RouteAllocation allocation {RouteAllocation::Equal}; + std::optional source_allocation {}; + std::optional weight_basis {}; + std::shared_ptr> edge_weights {}; + RouteTieBreak tie_break {RouteTieBreak::FewerHops}; + bool multipath {true}; + bool parallel_edges {true}; +}; +struct DistributedTE { + TunnelCount tunnel_count {}; + std::optional cost_ceiling {}; Amount min_unreserved_bandwidth {0}; + RouteTieBreak tie_break {RouteTieBreak::FewerHops}; + bool parallel_edges {true}; }; -struct Global { - std::shared_ptr support {}; - std::optional tunnels {}; +// CentralizedTE requires its source allocation: there is no default constructor. +struct CentralizedTE { + explicit CentralizedTE(SourceAllocation source_allocation_) : source_allocation(source_allocation_) {} + SourceAllocation source_allocation; + std::shared_ptr support {}; + std::optional tunnel_count {}; bool prefer_headroom {false}; + friend bool operator==(const CentralizedTE&, const CentralizedTE&) = default; }; struct Pinned { std::shared_ptr program {}; std::shared_ptr black_holes {}; }; -using Routing = std::variant; +using Routing = std::variant; -// One demand's settings. A field that does not apply to the routing mode stays absent; a policy -// or an evaluator checks the combination when it uses the configuration (the fields remain -// assignable), in this order: the enumeration values, then the model's row of the matrix below -// (Global: any selection first, then support and tunnels together, they decide the row, then -// prefer_headroom without tunnels; T1: an "up to" count, it is not T1's row), its columns left to -// right (placement, origin, admission, selection, weights with -// edge_weights), then the DagCache, then the tunnel models' own parameters (the tunnel count; T1's -// max_path_cost and min_unreserved_bandwidth), then edge_weights' length and entries, then the -// roster and count rules (the pooled single-path rule, T2's several-sources rule, the tunnel -// limit). +// One demand's settings: the routing model, which holds every option it reads, and the admission. +// A policy or an evaluator checks the configuration when it uses it (the fields remain +// assignable), in this order: the enumeration values; then the model matrix below, in the order +// route and source allocation (ShortestPaths EQUAL or WEIGHTED takes only the equal source +// allocation; T2 with several input sources only the equal one), admission, the route-choice +// controls (the ineffective tie rule, then the pooled single-path rule), prefer_headroom, the +// weight combinations and, last, a ShortestPathCache on a model that does not read it; then the +// tunnel count, an "up to" count for DistributedTE, the ceilings, min_unreserved_bandwidth and +// edge_weights' length and entries; then the tunnel limit; then a Pinned program's endpoints. // -// | routing | placement | origin (default / allowed) | admission | selection | weights | -// | CostOnly | EqualBalanced | Equal / Equal | Lossless, Lossy | all four fields | none | -// | CostOnly | Weighted | Equal / Equal | Lossless, Lossy | all four fields | Capacity (default), Explicit, ResidualSnapshot | -// | CostOnly | MaxFlow | Optimized / both | Lossless | all four fields | none | -// | Global | none | Optimized / both | Lossless | none | none | -// | T1: CapacityAware | none | Equal / Equal | Lossless, Lossy | tie_break, priority, multi_edge | none | -// | T2: Global tunnels| none | Equal / Equal; Optimized with one source | Lossless, Lossy | none | none | -// | Pinned | none | none (the program has it) | Lossless, Lossy | none | none | +// | model | allocation | source allocation (default / allowed) | admission | route choice | weights | +// | ShortestPaths | Equal | Equal / Equal | Lossless, Lossy | tie_break, multipath, parallel_edges | none | +// | ShortestPaths | Weighted | Equal / Equal | Lossless, Lossy | tie_break, multipath, parallel_edges | Capacity (default), Explicit, ResidualSnapshot | +// | ShortestPaths | Optimized | Optimized / both | Lossless | tie_break, multipath, parallel_edges | none | +// | CentralizedTE | optimal | required / both | Lossless | none | none | +// | DistributedTE (T1) | tunnels | Equal, fixed | Lossless, Lossy | tie_break, parallel_edges (single path) | none | +// | CentralizedTE with tunnels (T2) | tunnels | required; Optimized only with one source | Lossless, Lossy | none | none | +// | Pinned | the program's | the program's | Lossless, Lossy | none | none | // -// An absent origin resolves to the default and an absent selection to PathSelection() in the -// policy's snapshot (config()); an absent weights of CostOnly Weighted resolves to Capacity. Only -// CostOnly reads a DagCache; another model rejects one. edge_weights (one integer per edge in -// [0, 2^62), shared by every configuration copied from this one) is given exactly when weights is -// Explicit. T1 rejects multipath = true (a tunnel is one path; absent and false are accepted). -// Every Global, with or without tunnels, rejects any selection: T2's headroom objective is the -// model's prefer_headroom (true needs tunnels), and a selection's priority never enables a -// controller objective. -// Pooled single-path rule: CostOnly with more than one input source (normalized, before any -// Eligibility) rejects multipath = false together with PreferHigherPriority, whose bottleneck -// choice would differ per source at a shared router. T2 with the optimized origin takes one input -// source (normalized, before any Eligibility): it is the same calculation as the equal origin. The -// tunnel limit (T1, T2): roster heads times the tunnel count (the largest count for up_to) at -// most 2^30 - 1. +// A Higher* tie_break of ShortestPaths with multipath and parallel_edges both true has nothing to +// choose and is rejected. The policy's snapshot (config()) resolves ShortestPaths' absent +// source_allocation (Optimized for Optimized, else Equal) and an absent weight_basis of Weighted +// (Capacity). edge_weights (one integer per edge in [0, 2^62), shared by every configuration +// copied from this one) is given exactly when weight_basis is Explicit. T2's headroom objective is +// CentralizedTE's prefer_headroom (true needs tunnels); a tie rule never enables a controller +// objective. Pooled single-path rule: ShortestPaths with more than one input source (normalized, +// before any Eligibility) and multipath = false requires tie_break = FewerHops. The tunnel limit +// (T1, T2): roster heads times the tunnel count (the largest count for up_to) at most 2^30 - 1. struct FlowPolicyConfig { - Routing routing {CostOnly {}}; - std::optional placement {}; + Routing routing {ShortestPaths {}}; Admission admission {Admission::Lossless}; - std::optional selection {}; - std::optional origin {}; - std::optional weights {}; - std::shared_ptr> edge_weights {}; }; // Optional outputs of a placement (absent unless requested): edge_flows (this policy's own -// allocation per edge after the call), residual and bottleneck (the ledger's after the call), -// min_cut (Global with the optimized origin; see PlacementResult::min_cut) and -// reservation_edge_flows (this policy's strict holds per edge after the call, zeros for a model -// without holds). +// allocation per edge after the call), residual and saturated_boundary_edges (the ledger's after +// the call), min_cut (CentralizedTE with the optimized source allocation; see +// PlacementResult::min_cut) and edge_reservations (this policy's strict holds per edge after the +// call, zeros for a model without holds). struct OutputOptions { bool edge_flows {false}; bool residual {false}; - bool bottleneck {false}; + bool saturated_boundary_edges {false}; bool min_cut {false}; - bool reservation_edge_flows {false}; + bool edge_reservations {false}; }; // The call's outcome, the first that applies: Complete for a zero request; NoRoute for a @@ -168,98 +176,100 @@ enum class Termination { Complete, NoRoute, Exhausted, NoActiveWeight }; // One normalized input source's forwarding in the epoch (zero rows included: a masked or // unreachable source): offered (Lossy only: its injections), admitted (Lossless: what it -// delivers; Lossy: offered), delivered, source_loss (offered shares lost at the source for lack of -// a usable route) and dropped (its losses on links). Lossy: offered = delivered + source_loss + -// dropped. +// delivers; Lossy: offered), delivered, source_drops (offered shares lost at the source for lack +// of a usable route) and total_edge_drops (its losses on links). Lossy: offered = delivered + +// source_drops + total_edge_drops. struct SourceFlow { NodeId source {0}; std::optional offered {}; Counter128 admitted {}; Amount delivered {0}; - Counter128 source_loss {}; - Counter128 dropped {}; + Counter128 source_drops {}; + Counter128 total_edge_drops {}; friend bool operator==(const SourceFlow&, const SourceFlow&) = default; }; // One program tunnel's forwarding in the epoch: its entry identifier and head, its status in this // forwarding (Up, Failed, Blackholed), assigned (its share of the injections: Lossy the shares sent -// to it, Lossless what it carries), delivered and dropped (its losses on links). +// to it, Lossless what it carries), delivered and total_edge_drops (its losses on links). struct TunnelFlow { - std::int32_t index {0}; + std::int32_t entry_id {0}; NodeId head {0}; TunnelStatus status {TunnelStatus::Up}; Counter128 assigned {}; Amount delivered {0}; - Counter128 dropped {}; + Counter128 total_edge_drops {}; friend bool operator==(const TunnelFlow&, const TunnelFlow&) = default; }; -// The tunnel models' setup summary (PlacementResult::plan): count (the tunnels per head; T2 up -// to: the chosen count), design_demand (nullopt: unlimited), head_design ((head, RR(D, H, i)) for -// every roster head in ascending NodeId; empty for an unlimited design) and reserved_total (T1's -// strict holds, counted once per up tunnel: the sum of their requests; 0 for T2). T2 only (nullopt -// for T1): live_heads (ascending), insufficient_resolution (live heads exist but U = 0: the program -// has no tunnels), fluid_share (the exact fluid optimum s* as a reduced fraction (numerator, -// denominator); 0 / 1 without a live head), common_share (U), planned_per_tunnel (u), -// planned_total (K u), route_cost (J, below 2^92), headroom_penalty (Phi, below 2^94; with -// prefer_headroom only) and forwarding_bound (F: the program's lossless maximum on the call's view, a -// dead head's share blocking). +// The tunnel models' setup summary (PlacementResult::plan): tunnels_per_head (T2 up to: the +// chosen count), design_demand (nullopt: unlimited), design_by_head ((head, RR(D, H, i)) for every +// roster head in ascending NodeId; empty for an unlimited design) and total_reserved_bandwidth +// (T1's strict holds, counted once per up tunnel: the sum of their requests; 0 for T2). T2 only +// (nullopt for T1): heads_with_capacity (ascending), insufficient_resolution (heads with capacity +// exist but U = 0: the program has no tunnels), max_fractional_bandwidth_per_tunnel (the exact +// fluid optimum s* as a reduced fraction (numerator, denominator); 0 / 1 without such a head), +// max_bandwidth_per_tunnel (U), planned_bandwidth_per_tunnel (u), total_planned_bandwidth (K u), +// total_tunnel_cost (J, below 2^92), headroom_penalty (Phi, below 2^94; with prefer_headroom only) +// and max_lossless_offer (F: the program's lossless maximum on the call's view, a dead head's +// share blocking). struct TunnelPlan { - std::int64_t count {0}; + std::int64_t tunnels_per_head {0}; std::optional design_demand {}; - std::vector> head_design {}; - Amount reserved_total {0}; - std::optional> live_heads {}; + std::vector> design_by_head {}; + Amount total_reserved_bandwidth {0}; + std::optional> heads_with_capacity {}; std::optional insufficient_resolution {}; - std::optional> fluid_share {}; - std::optional common_share {}; - std::optional planned_per_tunnel {}; - std::optional planned_total {}; - std::optional route_cost {}; + std::optional> max_fractional_bandwidth_per_tunnel {}; + std::optional max_bandwidth_per_tunnel {}; + std::optional planned_bandwidth_per_tunnel {}; + std::optional total_planned_bandwidth {}; + std::optional total_tunnel_cost {}; std::optional headroom_penalty {}; - std::optional forwarding_bound {}; + std::optional max_lossless_offer {}; friend bool operator==(const TunnelPlan&, const TunnelPlan&) = default; }; // The result of one call: this call's values, then the demand's state after it (totals of the // epoch), then the optional outputs. -// This call: placed (units delivered by the call; replace, forward and evaluate: the full new -// delivery), remaining = request - placed (nullopt for +inf), delivery_delta (new minus old -// delivery; placed for a placement, may be negative for replace), call_drops (this call's drops -// per edge, ascending EdgeId), call_source_loss, termination and the change flags, which compare +// This call: call_delivered (units delivered by the call; replace, forward and evaluate: the full +// new delivery), call_undelivered = request - call_delivered (nullopt for +inf), delivery_delta +// (new minus old delivery; call_delivered for a placement, may be negative for replace), +// call_edge_drops (this call's drops per edge, ascending EdgeId), call_source_drops, termination +// and the change flags, which compare // the program before and after the call ("no program" is the empty program; two programs without // an entry are equal): routes_changed the ordered heads, paths, split tables and duplicates; // weights_changed the injection (the source weights) and every entry and split-table weight (an // absent entry weighs 0); reservations_changed every tunnel's requested and reserved amounts by // index (an absent tunnel holds (0, 0); only T1 sets it: T2's planned bandwidth is no // reservation). An offer-only change to a program that -// is not recomputed (forward, Pinned, CostOnly increments) sets none of them; a controller's +// is not recomputed (forward, Pinned, ShortestPaths increments) sets none of them; a controller's // re-solve that changes a path's amount is a weight change; an identical replace sets none. // State: program (the installed program after the call; evaluate: the computed one; null before // the epoch's first preparation), plan (T1 and T2: the setup of that program; nullopt for every // other model, Pinned over a tunnel program too), requested (the sum of the requests; // nullopt after +inf), offered (Lossy only: the traffic actually sent; the first-hop injection of a // Lossy +inf), admitted (Lossless: the total carried; Lossy: offered), delivered, unadmitted -// (Lossless: requested - delivered, nullopt after +inf; Lossy: 0), source_loss and drops (per -// edge). Lossy: offered = source_loss + sum(drops) + delivered. by_source has one row per +// (Lossless: requested - delivered, nullopt after +inf; Lossy: 0), source_drops and edge_drops +// (per edge). Lossy: offered = source_drops + sum(edge_drops) + delivered. by_source has one row per // normalized input source in ascending NodeId; the rows sum to the totals except for Lossy with an // empty roster, where the whole offer is source loss of the demand and every row is zero. // by_tunnel has one row per program tunnel in ascending index (empty without tunnels); it is an -// alternative view of the same traffic, never added to by_source. total_cost (controllers: Global -// and CostOnly MaxFlow) is the exact sum of cost * flow over the policy's allocation (below 2^124; +// alternative view of the same traffic, never added to by_source. total_cost (controllers: CentralizedTE +// and ShortestPaths Optimized) is the exact sum of cost * flow over the policy's allocation (below 2^124; // nullopt for the tunnel models and Pinned). -// cost_distribution: unrestricted Global with the optimized origin only, the cumulative marginal +// marginal_cost_curve: unrestricted CentralizedTE with the optimized source allocation only, the cumulative marginal // cost curve: (cost, units) pairs in ascending cost, where delivering `units` more units raised the // minimum total cost of the flow by `cost` per unit (more delivery can reroute flow already placed, // so the pairs are not the costs of the paths in the final allocation); empty for an empty roster, // and absent before the epoch's first positive call. Optional outputs describe the same state as // the rest of the result (evaluate: the evaluated state). struct PlacementResult { - Amount placed {0}; - std::optional remaining {}; + Amount call_delivered {0}; + std::optional call_undelivered {}; Amount delivery_delta {0}; - std::vector> call_drops {}; - Amount call_source_loss {0}; + std::vector> call_edge_drops {}; + Amount call_source_drops {0}; Termination termination {Termination::Complete}; bool routes_changed {false}; bool weights_changed {false}; @@ -271,38 +281,38 @@ struct PlacementResult { Counter128 admitted {}; Amount delivered {0}; std::optional unadmitted {}; - Counter128 source_loss {}; - std::vector> drops {}; + Counter128 source_drops {}; + std::vector> edge_drops {}; std::vector by_source {}; std::vector by_tunnel {}; std::optional total_cost {}; - std::optional>> cost_distribution {}; + std::optional>> marginal_cost_curve {}; std::optional> edge_flows {}; std::optional> residual {}; - std::optional> bottleneck {}; - std::optional> reservation_edge_flows {}; - // Requested by OutputOptions::min_cut; unrestricted Global with the optimized origin only, when + std::optional> saturated_boundary_edges {}; + std::optional> edge_reservations {}; + // Requested by OutputOptions::min_cut; unrestricted CentralizedTE with the optimized source allocation only, when // the solve reached the maximum flow: the edges leaving the set of nodes the roster sources reach // through residual arcs (free capacity plus this policy's own load, reverse arcs that cancel flow // included), whatever their free capacity (an allowed edge of capacity 0 is listed; an excluded // edge is not an edge here), ascending EdgeId. That is the minimum cut closest to the sources; an - // empty roster returns an empty cut. nullopt otherwise (another model, the equal origin, a + // empty roster returns an empty cut. nullopt otherwise (another model, the equal source allocation, a // support, a call below the maximum, a zero call, forward). std::optional> min_cut {}; }; // A policy binds to its ledger at construction. Every call validates, then computes on working // copies and publishes all changes together, or none. -// place(v) adds v to the epoch: CostOnly prepares its program at the epoch's first positive call +// place(offer) adds offer to the epoch: ShortestPaths prepares its program at the epoch's first positive call // (every roster source's shortest routes on the ledger's residual at that call's entry) and keeps -// it for the epoch; EqualBalanced and Weighted forward the equal origin over the pooled routes: -// Lossless admits the largest total a in [admitted, admitted + volume] whose no-drop forwarding fits +// it for the epoch; Equal and Weighted forward the equal source allocation over the pooled routes: +// Lossless admits the largest total a in [admitted, admitted + offer] whose no-drop forwarding fits // the residual plus the policy's own load (a refused unit is not offered again), Lossy forwards // the new round-robin injections on the residual at call entry (earlier drops are not offered -// again). The controllers (Global, CostOnly MaxFlow) re-solve admitted + volume from zero on the -// residual plus their own allocation and export the solve as their program; the equal origin admits +// again). The controllers (CentralizedTE, ShortestPaths Optimized) re-solve admitted + offer from zero on the +// residual plus their own allocation and export the solve as their program; the equal source allocation admits // the largest total whose round-robin supplies are all carried. Pinned forwards its program the -// same way (Lossless: the largest total in [admitted, admitted + volume]; Lossy: the round-robin +// same way (Lossless: the largest total in [admitted, admitted + offer]; Lossy: the round-robin // or captured-weight increments of the injection, each head splitting its increment afresh). // T1 and T2 have no place (rejected, also for 0). // evaluate(offer, design_demand) is a full, independent computation and forwarding of the offer @@ -317,7 +327,7 @@ struct PlacementResult { // fixed program's lossless bound; Lossy: the offer's injections) on the released view, starts a // new epoch like replace, and keeps the program, its plan and T1's holds; with black_holes, the nodes and // edges it excludes are black holes for that call. A Lossy replace, forward or evaluate needs a -// finite offer; a Lossy +inf is CostOnly place's first-hop experiment only. remove() releases +// finite offer; a Lossy +inf is ShortestPaths place's first-hop experiment only. remove() releases // every policy flow and hold, retires their ids, clears the program and starts a new epoch: the // period since construction, the last remove(), replace() or forward() over which requests and // flows accumulate. Destroying a policy without remove() leaves its records and holds in the @@ -325,20 +335,20 @@ struct PlacementResult { // // Validation (std::invalid_argument, before anything binds), in this order: the endpoint sets // (non-empty, ids in range, disjoint), the ownership of the Eligibility, the program, the support, -// the DagCache and the black holes by the ledger's graph, the configuration (FlowPolicyConfig's +// the ShortestPathCache and the black holes by the ledger's graph, the configuration (FlowPolicyConfig's // order), then the roster and count rules (the pooled single-path rule; T2's several-sources // rule; the tunnel limit; a Pinned program's endpoints equal to the policy's). A call validates the // operation for the model (T1's and T2's place), an installed program (forward), the request ([0, // 2^62) units or +inf), a Lossy full offer's finiteness, the design demand (the model accepts one, // [0, 2^62) or +inf, T1 finite), a finite place after +inf in the epoch (rejected, also 0) and the black holes' graph -// (forward) before any change. A solve of the flow core (Global, CostOnly MaxFlow, a MaxFlow flow) whose +// (forward) before any change. A solve of the flow core (CentralizedTE, ShortestPaths Optimized, a Optimized flow) whose // network exceeds the core's int32 numbering throws std::invalid_argument, and the call changes // nothing: more than INT32_MAX - 2 nodes, or more than 2^30 - 1 edges, sources and destinations // together. A Lossy forwarding whose losses wait on each other in a cycle that alternates between // two states or does not settle within its round limit throws std::invalid_argument; a failed // check of an iterated forwarding throws std::runtime_error; neither publishes anything. // -// Lifetime: the ledger, the Eligibility and the DagCache outlive the policy (the policy holds +// Lifetime: the ledger, the Eligibility and the ShortestPathCache outlive the policy (the policy holds // pointers to them); a Pinned policy shares its program and black holes. The roster (the eligible // sources that statically reach an allowed destination, over allowed edges whatever their // capacity, the tunnel models' heads; Pinned: the program's roster heads that reach an allowed destination over @@ -346,16 +356,16 @@ struct PlacementResult { class FlowPolicy { public: FlowPolicy(FlowLedger& ledger, std::span sources, std::span destinations, - FlowPolicyConfig config, const Eligibility* elig = nullptr, DagCache* cache = nullptr); + FlowPolicyConfig config, const Eligibility* eligibility = nullptr, ShortestPathCache* cache = nullptr); FlowPolicy(const FlowPolicy&) = delete; FlowPolicy& operator=(const FlowPolicy&) = delete; FlowPolicy(FlowPolicy&&) = delete; FlowPolicy& operator=(FlowPolicy&&) = delete; ~FlowPolicy(); - // volume, offer and an inner design_demand: units, nullopt is +inf; an absent design_demand is + // offer and an inner design_demand: units, nullopt is +inf; an absent design_demand is // the offer. - PlacementResult place(std::optional volume, const OutputOptions& outputs = {}); + PlacementResult place(std::optional offer, const OutputOptions& outputs = {}); [[nodiscard]] PlacementResult evaluate(std::optional offer, const std::optional>& design_demand = std::nullopt, const OutputOptions& outputs = {}) const; @@ -368,7 +378,7 @@ class FlowPolicy { const OutputOptions& outputs = {}); void remove(); // The sum of delivered over this policy's live records. - [[nodiscard]] Amount placed_demand() const; + [[nodiscard]] Amount delivered() const; // This policy's live records as snapshots in FlowId order. [[nodiscard]] std::vector records() const; // One of this policy's live records; a FlowId of another ledger or policy, a retired or an @@ -376,8 +386,8 @@ class FlowPolicy { [[nodiscard]] FlowRecord record(const FlowId& flow_id) const; // The installed program: null before the epoch's first preparation and after remove(). [[nodiscard]] std::shared_ptr program() const noexcept; - // The configuration as validated at construction: a copy whose absent origin, selection and - // weights are resolved to the model's defaults (FlowPolicyConfig). + // The configuration as validated at construction: a copy whose absent source_allocation and + // weight_basis are resolved to the model's defaults (FlowPolicyConfig). [[nodiscard]] const FlowPolicyConfig& config() const noexcept; private: @@ -385,7 +395,7 @@ class FlowPolicy { // Construction inside another public call (an evaluator): a supplied frozen cache's hits are // recorded in that call's tally. FlowPolicy(FlowLedger& ledger, std::span sources, std::span destinations, - FlowPolicyConfig config, const Eligibility* elig, DagCache* cache, detail::FrozenTally& tally); + FlowPolicyConfig config, const Eligibility* eligibility, ShortestPathCache* cache, detail::FrozenCacheHitTally& tally); std::unique_ptr engine_; }; diff --git a/include/netgraph/core/flow_record.hpp b/include/netgraph/core/flow_record.hpp index 27dd4a8..55e6e51 100644 --- a/include/netgraph/core/flow_record.hpp +++ b/include/netgraph/core/flow_record.hpp @@ -8,7 +8,7 @@ #include #include "netgraph/core/options.hpp" -#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/route_structures.hpp" #include "netgraph/core/types.hpp" namespace netgraph::core { @@ -36,28 +36,28 @@ struct Counter128 { } }; -// A snapshot of one ledger flow, returned by records() or record(id). `bundle` is its route -// structure; `route_cost` is the minimum walk cost from its sources to its destinations over -// that bundle, or kUnreachable if none exists. `entry` is the program entry the record carries +// A snapshot of one ledger flow, returned by records() or record(id). `route` is its route +// structure; `min_route_cost` is the minimum walk cost from its sources to its destinations over +// that route, or kUnreachable if none exists. `entry_id` is the program entry the record carries // (T1, T2 and Pinned: one record per entry, the entry identifier of its program); absent for the -// records kept per roster source (CostOnly, Global). Lossy records alone have `offered`: the -// cumulative amount submitted to this flow before any drops. `edges` (carried load), `drops` and -// `reserved_edges` (the strict holds of an up T1 tunnel: its request on every link of its path) +// records kept per roster source (ShortestPaths, CentralizedTE). Lossy records alone have `offered`: the +// cumulative amount submitted to this flow before any drops. `edge_flows` (carried load), `edge_drops` +// and `edge_reservations` (the strict holds of an up T1 tunnel: its request on every link of its path) // contain positive values in ascending EdgeId; per-call and cumulative drop totals are derived. struct FlowRecord { FlowId flow_id {}; - std::int64_t owner {0}; + std::int64_t policy_id {0}; std::vector sources {}; std::vector destinations {}; Admission admission {Admission::Lossless}; - std::optional entry {}; - std::shared_ptr bundle {}; - Cost route_cost {kUnreachable}; + std::optional entry_id {}; + std::shared_ptr route {}; + Cost min_route_cost {kUnreachable}; std::optional offered {}; Amount delivered {0}; - std::vector> edges {}; - std::vector> drops {}; - std::vector> reserved_edges {}; + std::vector> edge_flows {}; + std::vector> edge_drops {}; + std::vector> edge_reservations {}; }; } // namespace netgraph::core diff --git a/include/netgraph/core/program.hpp b/include/netgraph/core/forwarding_program.hpp similarity index 59% rename from include/netgraph/core/program.hpp rename to include/netgraph/core/forwarding_program.hpp index cdc6778..0c63bef 100644 --- a/include/netgraph/core/program.hpp +++ b/include/netgraph/core/forwarding_program.hpp @@ -1,5 +1,5 @@ /* Forwarding programs: the routes and integer weights a computation produces and forwarding moves - an offer over (Tunnel, Route, ForwardingProgram). */ + an offer over (Tunnel, RouteDefinition, ForwardingProgram). */ #pragma once #include @@ -12,7 +12,7 @@ #include "netgraph/core/graph.hpp" #include "netgraph/core/options.hpp" -#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/route_structures.hpp" #include "netgraph/core/types.hpp" namespace netgraph::core { @@ -23,57 +23,58 @@ struct ProgramAccess; struct ProgramBlock; } // namespace detail -// A tunnel's state: Up; NoBandwidth and CostCeiling (T1 setup found no path passing the bandwidth +// A tunnel's state: Up; InsufficientBandwidth and CostCeilingExceeded (T1 setup found no path passing the bandwidth // filter, or the cheapest one exceeds the cost ceiling: the tunnel is down, has no path and weight // 0, and stays down in every forwarding of its program); and, in one forwarding only (a by_tunnel // row), Failed (the path touches a node or an edge the forwarding policy's Eligibility excludes: // the tunnel gets nothing and its head splits over its other entries) and Blackholed (up, but its // path reaches a black hole of stale forwarding: its traffic is dropped on the first link that is // one or enters one). -enum class TunnelStatus { Up, NoBandwidth, CostCeiling, Failed, Blackholed }; +enum class TunnelStatus { Up, InsufficientBandwidth, CostCeilingExceeded, Failed, Blackholed }; -// One tunnel (a path entry) of a program. index: the entry identifier (T1 and T2: j * H + i for -// round j and roster position i, T2's dead heads leaving holes; Global and CostOnly MaxFlow: the +// One tunnel (a path entry) of a program. entry_id: the entry identifier (T1 and T2: j * H + i for +// round j and roster position i, T2's dead heads leaving holes; CentralizedTE and ShortestPaths Optimized: the // path's position in the decomposition order; supplied routes: the route's position in the list), // never a position in tunnels(); -// local_index: its position among its head's entries of both kinds in ascending index; -// destination: where its path ends; edges in path order; route_cost: the sum of their costs (all -// three absent for a tunnel that is down); status: Up, NoBandwidth or CostCeiling; requested and -// reserved: T1's strict bandwidth (its request, and the request held on every link of its path -// when it is up, else 0; 0 for the other models); planned: T2's planned bandwidth u (metadata, +// local_index: its position among its head's entries of both kinds in ascending entry_id; +// destination: where its path ends; edges in path order; path_cost: the sum of their costs (all +// three absent for a tunnel that is down); status: Up, InsufficientBandwidth or CostCeilingExceeded; +// requested_bandwidth and reserved_bandwidth: T1's strict bandwidth (its request, and the request +// held on every link of its path when it is up, else 0; 0 for the other models); +// planned_bandwidth: T2's planned bandwidth u (metadata, // never held; 0 for the other models); weight: its integer share among the head's entries (T1: // 1 up, 0 down; T2: 1; a controller path: its solved amount). struct Tunnel { - std::int32_t index {0}; + std::int32_t entry_id {0}; NodeId head {0}; std::int32_t local_index {0}; std::optional destination {}; std::optional> edges {}; - std::optional route_cost {}; + std::optional path_cost {}; TunnelStatus status {TunnelStatus::Up}; - Amount requested {0}; - Amount reserved {0}; - Amount planned {0}; + Amount requested_bandwidth {0}; + Amount reserved_bandwidth {0}; + Amount planned_bandwidth {0}; Amount weight {0}; friend bool operator==(const Tunnel&, const Tunnel&) = default; }; // A supplied route of ForwardingProgram::from_routes: a Path with one edge per hop (a tunnel) or -// a PredDAG (a split route, its own split context) starting at `head`, with its integer weight +// a PredecessorDAG (a split route, its own split context) starting at `head`, with its integer weight // among the head's routes (0 allowed: it carries nothing). -struct Route { +struct RouteDefinition { NodeId head {0}; - std::variant, std::shared_ptr> bundle {}; + std::variant, std::shared_ptr> route {}; Amount weight {1}; }; -// The interior split of the PredDAG routes of from_routes: placement EqualBalanced (absent) or -// Weighted, whose weights come from `weights` (absent: Capacity), `edge_weights` (Explicit: one +// The interior split of the PredecessorDAG routes of from_routes and of from_dag's DAG: allocation +// Equal (absent) or Weighted, whose weights come from `weight_basis` (absent: Capacity), `edge_weights` (Explicit: one // entry per edge) or `residual` (ResidualSnapshot: the free-capacity vector it reads, one entry // per edge in [0, capacity]; it has no default). struct RouteOptions { - std::optional placement {}; - std::optional weights {}; + std::optional allocation {}; + std::optional weight_basis {}; std::optional> edge_weights {}; std::optional> residual {}; }; @@ -92,19 +93,32 @@ class ForwardingProgram { public: // Validates and freezes supplied routes, std::invalid_argument for the first failure, in this // order: the endpoint sets (empty, range, lowest overlap); `routes must not be empty`; when no - // route is a PredDAG, any option given (` applies - // only to PredDAG routes`); placement MaxFlow; the weights' combination; edge_weights' length and - // entries and residual's (the ledger's baseline messages); then each route in list order: its - // bundle's graph, its head a source, a Path's shape (one edge per hop, starting at the head, - // ending at a destination and meeting none before), a PredDAG's walk from the head to a + // route is a PredecessorDAG, any option given (` + // applies only to PredecessorDAG routes`); allocation Optimized; the weights' combination; + // edge_weights' length and entries and residual's (the ledger's baseline messages); then each + // route in list order: its route's graph, its head a source, a Path's shape (one edge per hop, starting at the head, + // ending at a destination and meeting none before), a PredecessorDAG's walk from the head to a // destination, then its weight in [0, 2^62). Order and duplicates are kept; a route of weight 0 is // validated in full. Every split route is its own split context. - [[nodiscard]] static std::shared_ptr from_routes(const Graph& g, + [[nodiscard]] static std::shared_ptr from_routes(const Graph& graph, std::span sources, std::span destinations, - std::span routes, + std::span routes, const RouteOptions& options = {}); + // One shared hop-by-hop program on a supplied DAG of `graph`: its sources allocated equally + // and pooled at every shared router exactly as ShortestPaths Equal/Weighted (the one pooled + // builder), the DAG trimmed to the walks from each source to its first destinations. + // std::invalid_argument for the first failure, in this order: the endpoint sets; `dag belongs to + // another graph`; options.allocation Optimized (`from_dag allocation must be EQUAL or WEIGHTED`); + // the weights' combination; edge_weights' and residual's lengths and entries. The roster is the + // sources that reach a destination in the DAG (possibly none): one split route per roster source, + // identified by roster position, and no tunnel; a replay rebuilds the roster on the DAG. + [[nodiscard]] static std::shared_ptr from_dag(const Graph& graph, std::span sources, + std::span destinations, + const std::shared_ptr& dag, + const RouteOptions& options = {}); + ForwardingProgram(const ForwardingProgram&) = delete; ForwardingProgram& operator=(const ForwardingProgram&) = delete; ~ForwardingProgram(); diff --git a/include/netgraph/core/graph.hpp b/include/netgraph/core/graph.hpp index 1b2f907..5046317 100644 --- a/include/netgraph/core/graph.hpp +++ b/include/netgraph/core/graph.hpp @@ -24,11 +24,11 @@ struct GraphAccess; [[nodiscard]] double as_float(Amount x, double resolution); // Edges arrive in input order. Their public EdgeIds are their positions after sorting by -// (src, cost, dst, input). Node u's out-edges are [row_offsets()[u], row_offsets()[u + 1]), -// ordered by (cost, dst, input); input_index()[e] gives e's input position. All other per-edge -// arrays use EdgeId order, except in_adj_edge_index() (reverse-CSR slot order). CSR (compressed +// (source, cost, destination, input). Node u's out-edges are +// [outgoing_offsets()[u], outgoing_offsets()[u + 1]), ordered by (cost, destination, input); +// input_positions()[e] gives e's input position. All other per-edge arrays use EdgeId order, except incoming_edges() (reverse-CSR slot order). CSR (compressed // sparse row) stores each node's edges in a flat array and uses offsets to mark its range. -// Reverse CSR lists v's in-edges in (cost, src, input) order. +// Reverse CSR lists v's in-edges in (cost, source, input) order. // // The constructor validates in this order and reports the first defect (std::invalid_argument): // the resolution (a power of two in [2^-32, 2^32]); the unit values (every capacity in @@ -43,8 +43,9 @@ struct GraphAccess; // // Construction uses N nodes, E edges and K distinct costs. A cost's rank is its position among // the sorted distinct costs. Stable counting passes group by each key without changing ties: -// dst, cost rank, src give EdgeId order; cost rank, dst give reverse CSR. When N K < E, use -// dst then (src, rank) forward, and (dst, rank) reverse. With no edges, only validation and two +// destination, cost rank, source give EdgeId order; cost rank, destination give reverse CSR. +// When N K < E, use destination then (source, rank) forward, and (destination, rank) reverse. +// With no edges, only validation and two // zero-filled offset arrays are needed. Rank costs through a hash table up to 65,536 distinct // costs and 8E + 8 x 65,536 examined slots; otherwise sort all costs. Both give the same ranks. // Expected O(E + N) for bounded K; O(N + E log(E + 1)) worst case. @@ -58,10 +59,10 @@ struct GraphAccess; class Graph { public: Graph(std::int32_t num_nodes, - std::span src, - std::span dst, - std::span capacity_units, - std::span cost, + std::span edge_sources, + std::span edge_destinations, + std::span edge_capacity_units, + std::span edge_costs, double resolution); Graph(const Graph& other); Graph(Graph&& other) noexcept; @@ -73,25 +74,25 @@ class Graph { [[nodiscard]] double resolution() const noexcept { return resolution_; } [[nodiscard]] std::int32_t num_nodes() const noexcept { return num_nodes_; } [[nodiscard]] std::int32_t num_edges() const noexcept { - return static_cast(capacity_.size()); + return static_cast(edge_capacity_units_.size()); } - [[nodiscard]] std::span capacity_units() const noexcept { return capacity_; } - [[nodiscard]] std::span cost() const noexcept { return cost_; } - [[nodiscard]] std::span edge_src() const noexcept { return src_; } - [[nodiscard]] std::span edge_dst() const noexcept { return dst_; } + [[nodiscard]] std::span edge_capacity_units() const noexcept { return edge_capacity_units_; } + [[nodiscard]] std::span edge_costs() const noexcept { return edge_costs_; } + [[nodiscard]] std::span edge_sources() const noexcept { return edge_sources_; } + [[nodiscard]] std::span edge_destinations() const noexcept { return edge_destinations_; } // Maximum edge cost and greatest common divisor of all edge costs, computed by full scans // at construction; both are 0 on a graph without edges. - [[nodiscard]] Cost max_cost() const noexcept { return max_cost_; } - [[nodiscard]] Cost cost_gcd() const noexcept { return cost_gcd_; } + [[nodiscard]] Cost max_edge_cost() const noexcept { return max_edge_cost_; } + [[nodiscard]] Cost edge_cost_gcd() const noexcept { return edge_cost_gcd_; } // id -> input position. The inverse permutation is the caller's (one O(E) scatter). - [[nodiscard]] std::span input_index() const noexcept { return input_index_; } + [[nodiscard]] std::span input_positions() const noexcept { return input_positions_; } // Forward CSR offsets (N + 1 entries, [0] = 0, [N] = E): the id ranges of the out-edges. - [[nodiscard]] std::span row_offsets() const noexcept { return offsets(row_offsets_); } - // Reverse CSR: the in-edges of v are in_adj_edge_index()[in_row_offsets()[v] .. - // in_row_offsets()[v + 1]) (public EdgeIds); the reverse column is - // edge_src()[in_adj_edge_index()[slot]]. - [[nodiscard]] std::span in_row_offsets() const noexcept { return offsets(in_row_offsets_); } - [[nodiscard]] std::span in_adj_edge_index() const noexcept { return in_adj_edge_index_; } + [[nodiscard]] std::span outgoing_offsets() const noexcept { return offsets(outgoing_offsets_); } + // Reverse CSR: the in-edges of v are incoming_edges()[incoming_offsets()[v] .. + // incoming_offsets()[v + 1]) (public EdgeIds); the reverse column is + // edge_sources()[incoming_edges()[slot]]. + [[nodiscard]] std::span incoming_offsets() const noexcept { return offsets(incoming_offsets_); } + [[nodiscard]] std::span incoming_edges() const noexcept { return incoming_edges_; } // Static eligibility from excluded ids (duplicates and unsorted lists accepted, out-of-range // ids rejected). Empty lists mean all allowed (uid 0). The one public construction of an @@ -111,19 +112,19 @@ class Graph { std::uint64_t uid_ {0}; double resolution_ {1.0}; std::int32_t num_nodes_ {0}; - Cost max_cost_ {0}; - Cost cost_gcd_ {0}; - std::vector capacity_ {}; - std::vector cost_ {}; - std::vector src_ {}; - std::vector dst_ {}; - std::vector input_index_ {}; - std::vector row_offsets_ {}; - std::vector in_row_offsets_ {}; - std::vector in_adj_edge_index_ {}; - // The source of each reverse slot (edge_src()[in_adj_edge_index()[slot]]), stored for the + Cost max_edge_cost_ {0}; + Cost edge_cost_gcd_ {0}; + std::vector edge_capacity_units_ {}; + std::vector edge_costs_ {}; + std::vector edge_sources_ {}; + std::vector edge_destinations_ {}; + std::vector input_positions_ {}; + std::vector outgoing_offsets_ {}; + std::vector incoming_offsets_ {}; + std::vector incoming_edges_ {}; + // The source of each reverse slot (edge_sources()[incoming_edges()[slot]]), stored for the // reverse search's locality; internal (detail::GraphAccess). - std::vector in_col_indices_ {}; + std::vector incoming_edge_sources_ {}; }; } // namespace netgraph::core diff --git a/include/netgraph/core/options.hpp b/include/netgraph/core/options.hpp index 7ea7c2b..e17f885 100644 --- a/include/netgraph/core/options.hpp +++ b/include/netgraph/core/options.hpp @@ -1,9 +1,11 @@ -/* The shared small option types: the selection axes of the searches and the policies and the - placement kinds of the kernels. Component configurations and result statuses stay with their +/* The shared small option types: the tie rule of the searches and the policies, the route + allocations of the kernels, their weight bases and the admissions. Component configurations and result statuses stay with their component. */ #pragma once -#include +#include +#include +#include #include #include "netgraph/core/types.hpp" @@ -14,83 +16,80 @@ namespace netgraph::core { // The returned DAG (a directed graph with no cycles) keeps the edges' original orientation. enum class Direction { Forward, Reverse }; -// Inclusive cost ceiling: Absolute gives a budget >= 0; Stretch multiplies the static shortest -// cost under the given Eligibility by a factor in [1, inf). Use the double's exact stored -// value, a dyadic rational (an integer divided by a power of two), with no comparison rounding. -struct Absolute { +// Inclusive cost ceiling: AbsoluteCost gives a budget >= 0; CostStretch multiplies the static +// shortest cost under the given Eligibility by an exact factor n/d >= 1: a path of cost c +// qualifies when c * d <= n * base, compared exactly. Both are checked where they are used. +struct AbsoluteCost { Cost cost {0}; - friend bool operator==(const Absolute&, const Absolute&) = default; + friend bool operator==(const AbsoluteCost&, const AbsoluteCost&) = default; }; -struct Stretch { - double factor {1.0}; - friend bool operator==(const Stretch&, const Stretch&) = default; -}; -using CostCeiling = std::variant; - -// Break equal-cost ties first between parallel edges, then between walks. -// For one (u, v) pair, Deterministic picks the lowest EdgeId; PreferHigherPriority picks the -// higher priority, then lowest EdgeId. For a single path (multipath = false), -// PreferHigherPriority first maximises the smallest edge priority along the walk (bottleneck); -// Deterministic ignores capacities. Both then prefer fewer hops, then the lexicographically -// smallest EdgeId sequence: compare at the first differing edge. Choose parallel members -// first (multi_edge = false), then choose the walk among the remaining members. -enum class EdgeTieBreak { Deterministic, PreferHigherPriority }; -// Per-edge priority for PreferHigherPriority (single-path and parallel-edge choices): -// Residual is unused capacity in units on the search's view; Capacity is static capacity in -// units; Headroom is the exact ratio residual / capacity, 0 on an edge of capacity 0. Without a -// supplied residual, a search reads the static capacity as the unused capacity: Residual and -// Capacity read the capacity, Headroom 1 (0 on an edge of capacity 0). T1's CSPF reads the -// unreserved view U: Residual U, Headroom U / C, Capacity C. It is a search and T1 comparison -// only and never enables a controller objective (T2's is Global::prefer_headroom). -enum class EdgePriority { Residual, Capacity, Headroom }; +// The factor as one reduced fraction numerator / denominator with a denominator in [1, 2^63); +// any numerator is a valid value (below 1 is refused where the ceiling is used). +class CostStretch { + public: + // Reduces numerator / denominator; a denominator <= 0 throws std::invalid_argument. + explicit CostStretch(std::int64_t numerator, std::int64_t denominator = 1) : numerator_(numerator), denominator_(denominator) { + if (denominator < 1) throw std::invalid_argument("CostStretch fraction denominator must be in [1, 2^63)"); + // The magnitude as unsigned: -2^63 has no int64 negation. + const std::uint64_t magnitude = + numerator < 0 ? std::uint64_t {0} - static_cast(numerator) : static_cast(numerator); + const std::uint64_t g = std::gcd(magnitude, static_cast(denominator)); + if (g > 1) { + // g divides the denominator (< 2^63), so g < 2^63 and the quotients fit int64. + numerator_ = numerator < 0 ? -static_cast(magnitude / g) : static_cast(magnitude / g); + denominator_ = static_cast(static_cast(denominator) / g); + } + } + [[nodiscard]] std::int64_t numerator() const noexcept { return numerator_; } + [[nodiscard]] std::int64_t denominator() const noexcept { return denominator_; } + friend bool operator==(const CostStretch&, const CostStretch&) = default; -// `multipath`: absent (the default) is the model's natural shape, all equal-cost walks as a -// shortest-path DAG for the searches and CostOnly, one path for a tunnel model; true is the DAG, -// false the canonical single path (a tunnel model rejects true). `multi_edge` keeps all eligible -// parallel edges between each (u, v) pair; false keeps one by (minimum cost, higher priority under -// PreferHigherPriority, lowest EdgeId). Every field has a default: Deterministic, Capacity, -// multipath absent, multi_edge true. Invalid enum values throw std::invalid_argument naming the -// field. Fields remain assignable, so every entry point that uses a selection validates it again. -struct PathSelection { - PathSelection(EdgeTieBreak tie_break_ = EdgeTieBreak::Deterministic, EdgePriority priority_ = EdgePriority::Capacity, - std::optional multipath_ = std::nullopt, bool multi_edge_ = true); - EdgeTieBreak tie_break; - EdgePriority priority; - std::optional multipath; - bool multi_edge; - // multipath = false: the canonical single path (absent and true are the DAG for a search). - [[nodiscard]] bool single_path() const noexcept { return multipath == false; } - friend bool operator==(const PathSelection&, const PathSelection&) = default; + private: + std::int64_t numerator_; + std::int64_t denominator_; }; +using CostCeiling = std::variant; + +// How a route choice breaks a cost tie; cost always comes first. FewerHops: then fewer hops, then the +// lexicographically smallest EdgeId sequence (compared at the first differing edge). The other three +// first prefer the larger bottleneck (the smallest value along the path) of an edge score, then +// fewer hops, then the EdgeId sequence: HigherCapacity scores static capacity, HigherAvailableCapacity +// the availability of the search's view, HigherHeadroom availability / static capacity as an exact +// ratio (0 on an edge of static capacity 0). Availability is the unreserved capacity for +// DistributedTE's CSPF, the service view for ShortestPaths, the supplied residual for spf and ksp, +// and the static capacity where no view is supplied (HigherHeadroom then reads 1 on a positive edge). +// The same order chooses among parallel edges of one (u, v) pair when parallel_edges is false (the +// cheapest member, then the higher score, then the lowest EdgeId). The tie rule never supplies +// weights and never enables a controller objective (CentralizedTE::prefer_headroom is T2's). +enum class RouteTieBreak { FewerHops, HigherCapacity, HigherAvailableCapacity, HigherHeadroom }; -// A placement kernel assigns one flow's amounts to its usable route edges (its split graph). -// MaxFlow replaces its allocation with a minimum-cost flow on the split graph over -// V = W + own, where W is unused capacity and own is this flow's current allocation. Weighted -// splits at each node using weights fixed at creation: give each next unit to the edge with -// largest w / (a + 1), where w is its weight and a its share so far; ties use lower EdgeId. -// EqualBalanced splits equally at each node, giving leftover units to edges in ascending -// EdgeId order. -enum class FlowPlacement { MaxFlow, Weighted, EqualBalanced }; +// A route allocation (a kernel) assigns one flow's amounts to its usable route edges (its split graph). +// Equal splits equally at each node, giving leftover units to edges in ascending EdgeId order. +// Weighted splits at each node using weights fixed at creation: give each next unit to the edge +// with largest w / (a + 1), where w is its weight and a its share so far; ties use lower EdgeId. +// Optimized replaces its allocation with a minimum-cost flow on the split graph over +// V = W + own, where W is unused capacity and own is this flow's current allocation. +enum class RouteAllocation { Equal, Weighted, Optimized }; -// Where the Weighted kernel's member weights come from (CostOnly Weighted and supplied split +// Where the Weighted kernel's member weights come from (ShortestPaths Weighted and supplied split // routes): Capacity, each member's static capacity; Explicit, one integer per edge given with the // configuration (edge_weights; a positive weight on an edge of capacity 0 becomes 0); // ResidualSnapshot, each member's free capacity read once when the routes are prepared, against // one common view, and frozen for the epoch. A member of weight 0 is pruned, together with the // branches it leaves without a destination, inside the route only (no longer bypass is created). -// The selection's priority never chooses weights. +// The tie rule's edge score never chooses weights. enum class WeightBasis { Capacity, Explicit, ResidualSnapshot }; // Lossless admits only the largest total that the routes carry with no loss at all; Lossy -// forwards the whole finite offer hop by hop and records where it is lost (EqualBalanced and -// Weighted only). +// forwards the whole finite offer hop by hop and records where it is lost (every model except the +// optimizing ones: ShortestPaths Optimized and CentralizedTE without a tunnel count). enum class Admission { Lossless, Lossy }; // How a demand's traffic enters at its sources, separately from how it is routed. Equal: a total // x enters as round robin over the roster (ascending NodeId, the first x mod H sources one unit // more); a source whose share cannot go anywhere keeps it and loses it, it never moves to another // source. Optimized: the controller chooses the integer injections (one virtual source). -enum class Origin { Equal, Optimized }; +enum class SourceAllocation { Equal, Optimized }; } // namespace netgraph::core diff --git a/include/netgraph/core/pred_dag.hpp b/include/netgraph/core/route_structures.hpp similarity index 66% rename from include/netgraph/core/pred_dag.hpp rename to include/netgraph/core/route_structures.hpp index d887333..d93d14d 100644 --- a/include/netgraph/core/pred_dag.hpp +++ b/include/netgraph/core/route_structures.hpp @@ -11,7 +11,7 @@ namespace netgraph::core { namespace detail { -struct PredDAGBuilder; +struct PredecessorDAGBuilder; struct PathBuilder; } // namespace detail @@ -20,62 +20,63 @@ struct PathBuilder; // arrays: node v uses parents()[k] and via_edges()[k] for // k in [parent_offsets()[v], parent_offsets()[v + 1]); (u, e) means edge e = u -> v is included. // Entries per node have strictly ascending via EdgeId, giving one canonical form. Equality -// means the same graph and CSR. Route APIs take PredDAG and reject one from another graph. +// means the same graph and CSR. Route APIs take PredecessorDAG and reject one from another graph. // // Storage is sparse: the entries are kept per member node (the nodes // with at least one entry, ascending, and their offsets), never as an N + 1 offsets array, so a -// flow's bundle costs O(its entries) whatever the graph's size. parent_offsets() presents the +// flow's route costs O(its entries) whatever the graph's size. parent_offsets() presents the // from_csr shape on demand (a fresh N + 1 array); parents() and via_edges() are the stored // entries (grouped by node in ascending NodeId), which are the same arrays in both forms. -class PredDAG { +class PredecessorDAG { public: // Validates, in this order, before any traversal (std::invalid_argument on the first defect): - // offsets of length N + 1, offsets[0] == 0, monotone, offsets[N] == len(parents) == - // len(via); then every parent and via in range, every via joining (parent, child), no - // duplicate (child, via), acyclic; within a node the entries in ascending via EdgeId. - [[nodiscard]] static PredDAG from_csr(const Graph& g, std::span offsets, + // parent_offsets of length N + 1, parent_offsets[0] == 0, monotone, parent_offsets[N] == + // len(parents) == len(via_edges); then every parent and via edge in range, every via edge joining + // (parent, child), no duplicate (child, via edge), acyclic; within a node the entries in + // ascending via EdgeId. + [[nodiscard]] static PredecessorDAG from_csr(const Graph& graph, std::span parent_offsets, std::span parents, std::span via); [[nodiscard]] std::uint64_t graph_uid() const noexcept { return graph_uid_; } - // The from_csr offsets (N + 1 entries), built on demand from the sparse storage. + // The from_csr parent_offsets (N + 1 entries), built on demand from the sparse storage. [[nodiscard]] std::vector parent_offsets() const; [[nodiscard]] std::span parents() const noexcept { return parents_; } - [[nodiscard]] std::span via_edges() const noexcept { return via_; } + [[nodiscard]] std::span via_edges() const noexcept { return via_edges_; } - friend bool operator==(const PredDAG& a, const PredDAG& b) noexcept { + friend bool operator==(const PredecessorDAG& a, const PredecessorDAG& b) noexcept { return a.graph_uid_ == b.graph_uid_ && a.num_nodes_ == b.num_nodes_ && a.nodes_ == b.nodes_ && - a.node_offsets_ == b.node_offsets_ && a.parents_ == b.parents_ && a.via_ == b.via_; + a.node_offsets_ == b.node_offsets_ && a.parents_ == b.parents_ && a.via_edges_ == b.via_edges_; } private: - friend struct detail::PredDAGBuilder; - PredDAG() = default; + friend struct detail::PredecessorDAGBuilder; + PredecessorDAG() = default; std::uint64_t graph_uid_ {0}; std::int32_t num_nodes_ {0}; std::vector nodes_ {}; // nodes with entries, ascending std::vector node_offsets_ {0}; // nodes_.size() + 1: the entries of nodes_[i] std::vector parents_ {}; - std::vector via_ {}; + std::vector via_edges_ {}; std::vector edges_ {}; // via_ in ascending EdgeId (derived once, at construction) }; // An explicit walk of hops; a hop holds one or more parallel members of one (u, v) pair, in -// the caller's order. src, dst and cost (the sum over hops of the minimum member cost) are -// derived at construction. A single-member walk is [[e1], [e2], ...]. +// the caller's order. source(), destination() and cost() (the sum over hops of the minimum member +// cost) are derived at construction. A single-member walk is [[e1], [e2], ...]. class Path { public: // Validates, in this order (std::invalid_argument on the first defect): every member id in // range (before any endpoint is read), no duplicate member, a non-empty hop list, every hop // non-empty, the members of a hop sharing (u, v), contiguous hops, no repeated node. - Path(const Graph& g, std::vector> hops); + Path(const Graph& graph, std::vector> hops); [[nodiscard]] std::uint64_t graph_uid() const noexcept { return graph_uid_; } [[nodiscard]] const std::vector>& hops() const noexcept { return hops_; } - [[nodiscard]] NodeId src() const noexcept { return nodes_.front(); } - [[nodiscard]] NodeId dst() const noexcept { return nodes_.back(); } + [[nodiscard]] NodeId source() const noexcept { return nodes_.front(); } + [[nodiscard]] NodeId destination() const noexcept { return nodes_.back(); } [[nodiscard]] Cost cost() const noexcept { return cost_; } - // The equivalent PredDAG (every member of every hop; entries in ascending via EdgeId). - [[nodiscard]] PredDAG to_dag() const; + // The equivalent PredecessorDAG (every member of every hop; entries in ascending via EdgeId). + [[nodiscard]] PredecessorDAG to_dag() const; friend bool operator==(const Path& a, const Path& b) noexcept { return a.graph_uid_ == b.graph_uid_ && a.hops_ == b.hops_; diff --git a/include/netgraph/core/search.hpp b/include/netgraph/core/search.hpp index 7f90a41..1881dbb 100644 --- a/include/netgraph/core/search.hpp +++ b/include/netgraph/core/search.hpp @@ -11,35 +11,40 @@ #include "netgraph/core/graph.hpp" #include "netgraph/core/options.hpp" -#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/route_structures.hpp" #include "netgraph/core/types.hpp" namespace netgraph::core { // The queue holds nodes waiting for their shortest distance to be finalised (C++ only). -// Auto groups them into cyclic distance buckets if max_cost / max(1, cost_gcd) + 1 <= 65,536; -// cost_gcd is the greatest common divisor of edge costs. Otherwise use a binary heap, which +// Auto groups them into cyclic distance buckets if max_edge_cost / max(1, edge_cost_gcd) + 1 <= 65,536; +// edge_cost_gcd is the greatest common divisor of edge costs. Otherwise use a binary heap, which // keeps the smallest key first; Heap always uses it. Both pop in (distance, node) order and // give identical results. The bucket limit bounds bucket storage. enum class SpfQueue { Auto, Heap }; -// spf requires direction and selection. Without targets, finalise every reachable node's -// shortest distance; with targets, stop at the nearest targets (anycast). -// A supplied residual gives unused capacity: int64[E] in EdgeId order, each in -// [0, capacity_units], borrowed for this call. Only edges with residual >= min_residual are -// usable, and these values also supply residual-based priorities. min_residual must be >= 1 -// and applies only when residual is supplied. The Eligibility always applies. Without a -// residual no edge is skipped for its capacity: an edge of capacity 0 is searched like any other. -// Invalid direction enum values throw std::invalid_argument naming the field. Fields remain -// assignable, so spf validates them again. +// spf requires a direction. Without targets, finalise every reachable node's shortest distance; +// with targets, stop at the nearest targets (anycast). multipath = true returns every equal-cost +// walk as a DAG, false the one canonical path (targets required); parallel_edges = false keeps one +// member of each (u, v) pair by the tie rule; tie_break orders equal-cost choices (RouteTieBreak). +// A Higher* tie rule with multipath and parallel_edges both true has nothing to choose and is +// rejected. A supplied residual gives unused capacity: int64[E] in EdgeId order, each in +// [0, edge_capacity_units], borrowed for this call. Only edges with residual >= min_residual are +// usable, and these values also supply the availability scores. min_residual must be >= 1 and +// applies only when residual is supplied. The Eligibility always applies. Without a residual no +// edge is skipped for its capacity: an edge of capacity 0 is searched like any other. Invalid +// enum values throw std::invalid_argument naming the field. Fields remain assignable, so spf +// validates them again. struct SpfOptions { - SpfOptions(Direction direction_, PathSelection selection_); + explicit SpfOptions(Direction direction_); Direction direction; std::optional> targets {}; - PathSelection selection; + RouteTieBreak tie_break {RouteTieBreak::FewerHops}; + bool multipath {true}; + bool parallel_edges {true}; std::optional> residual {}; Amount min_residual {1}; - const Eligibility* elig {nullptr}; + const Eligibility* eligibility {nullptr}; }; // The result of spf. costs: full searches only (no targets), one entry per node, kUnreachable @@ -52,54 +57,56 @@ struct SpfOptions { // kUnreachable when no target is reached. struct SpfResult { std::optional> costs; - PredDAG dag; + PredecessorDAG dag; std::optional target_cost; }; // Validates in this order before any work (std::invalid_argument): the enumerations (direction, -// the selection, the queue), the root set (non-empty, ids in range; duplicates removed), the -// target set when given (the same), a vertex in both sets, multipath = false without targets, -// the residual (length E, then every entry in [0, capacity_units]), min_residual >= 1, a foreign -// Eligibility. A root or target excluded by the Eligibility is skipped; all roots excluded gives +// tie_break, the queue), the root set (non-empty, ids in range; duplicates removed), the target +// set when given (the same), a vertex in both sets, multipath = false without targets, a Higher* +// tie_break with multipath and parallel_edges both true ("spf tie_break requires multipath=False or +// parallel_edges=False"), the residual (length E, then every entry in [0, edge_capacity_units]), +// min_residual >= 1, a foreign Eligibility. A root or target excluded by the Eligibility is skipped; all roots excluded gives // an empty result (no error). -[[nodiscard]] SpfResult spf(const Graph& g, std::span roots, const SpfOptions& opts, +[[nodiscard]] SpfResult spf(const Graph& graph, std::span roots, const SpfOptions& options, SpfQueue queue = SpfQueue::Auto); -// ksp requires k >= 1 and a selection. multi_edge = true keeps all eligible parallel edges; -// false keeps one per (u, v) pair by select_adjacency. multipath is ignored. -// max_path_cost is inclusive: Absolute(c), c >= 0, or Stretch(f), finite f in [1, inf), times +// ksp requires k >= 1. parallel_edges = true keeps all eligible parallel edges; false keeps one +// per (u, v) pair by the tie rule. tie_break orders paths of equal cost; the paths are always +// single (k sets their number). +// cost_ceiling is inclusive: AbsoluteCost(c), c >= 0, or CostStretch(f), finite f in [1, inf), times // the static shortest cost under the Eligibility (edges of capacity 0 included, residual // ignored). f is compared exactly, as for CostCeiling. // A residual is validated as for spf and borrowed for the call; edges need at least 1 unused -// unit, and it supplies priority values. Without a residual no edge is skipped for its capacity. +// unit, and it supplies the availability scores. Without a residual no edge is skipped for its capacity. // Fields remain assignable, so ksp validates them. struct KspOptions { - KspOptions(std::int64_t k_, PathSelection selection_); + explicit KspOptions(std::int64_t k_); std::int64_t k; - std::optional max_path_cost {}; - PathSelection selection; + RouteTieBreak tie_break {RouteTieBreak::FewerHops}; + bool parallel_edges {true}; + std::optional cost_ceiling {}; std::optional> residual {}; - const Eligibility* elig {nullptr}; + const Eligibility* eligibility {nullptr}; }; -// The K shortest src -> dst paths with no repeated node, ordered by (cost, -bottleneck -// under PreferHigherPriority, hops, edge-id sequence), the bottleneck being the minimum priority -// value along a path: the minimal prefix of that order, truncated at k and at the ceiling. Each +// The K shortest source -> destination paths with no repeated node, ordered by (cost, -bottleneck +// under a Higher* tie rule, hops, edge-id sequence), the bottleneck being the minimum edge score +// along a path: the minimal prefix of that order, truncated at k and at the ceiling. Each // path is a Path of single-member hops with its cost. Validates in this order before any work -// (std::invalid_argument): the selection's enumerations, src and dst in range, src == dst, k >= 1, +// (std::invalid_argument): tie_break, source and destination in range, source == destination, k >= 1, // the ceiling, the residual, a foreign Eligibility. An excluded endpoint, no static route under a -// Stretch ceiling, or no path gives an empty list. -[[nodiscard]] std::vector> ksp(const Graph& g, NodeId src, NodeId dst, const KspOptions& opts); +// CostStretch ceiling, or no path gives an empty list. +[[nodiscard]] std::vector> ksp(const Graph& graph, NodeId source, NodeId destination, const KspOptions& options); -// The src -> dst walks of a DAG in increasing (cost, hops, edge-id sequence): a hop's +// The source -> destination walks of a DAG in increasing (cost, hops, edge-id sequence): a hop's // cost is its cheapest member's, and a grouped hop is represented in the key by its lowest member // id. split_parallel_edges = false keeps every parallel member of the DAG's (u, v) pair in one hop // (members ascending); true gives one path per member combination, sorted by that path's own -// (cost, hops, edge-id sequence). max_paths -// (>= 1) truncates the sorted list; absent, every walk. Validates (std::invalid_argument): a DAG of -// another graph, src and dst in range, src == dst, max_paths >= 1. An endpoint outside the DAG, or -// no walk, gives an empty list. -[[nodiscard]] std::vector resolve_to_paths(const Graph& g, const PredDAG& dag, NodeId src, NodeId dst, +// (cost, hops, edge-id sequence). max_paths (>= 1) truncates the sorted list; absent, every walk. +// Validates (std::invalid_argument): the DAG's graph, source and destination in range, source != +// destination, max_paths >= 1. An endpoint outside the DAG, or no walk, gives an empty list. +[[nodiscard]] std::vector resolve_to_paths(const Graph& graph, const PredecessorDAG& dag, NodeId source, NodeId destination, bool split_parallel_edges = false, std::optional max_paths = std::nullopt); diff --git a/include/netgraph/core/dag_cache.hpp b/include/netgraph/core/shortest_path_cache.hpp similarity index 77% rename from include/netgraph/core/dag_cache.hpp rename to include/netgraph/core/shortest_path_cache.hpp index 6e035d8..a722a8b 100644 --- a/include/netgraph/core/dag_cache.hpp +++ b/include/netgraph/core/shortest_path_cache.hpp @@ -1,4 +1,4 @@ -/* The DagCache: building and frozen modes, the dedicated frozen-miss exception. */ +/* The ShortestPathCache: building and frozen modes, the dedicated frozen-miss exception. */ #pragma once #include @@ -15,22 +15,22 @@ #include "netgraph/core/graph.hpp" #include "netgraph/core/options.hpp" -#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/route_structures.hpp" #include "netgraph/core/types.hpp" namespace netgraph::core { namespace detail { struct DagCacheAccess; -class FrozenTally; +class FrozenCacheHitTally; } // namespace detail -// A frozen-cache lookup with no matching key throws DagCacheMiss. The shared message can be +// A frozen-cache lookup with no matching key throws ShortestPathCacheMiss. The shared message can be // copied without allocation. Keep what() out of line: this gives the exception one vtable and // type_info, so the binding can reliably catch it. -class DagCacheMiss : public std::exception { +class ShortestPathCacheMiss : public std::exception { public: - explicit DagCacheMiss(const std::string& what) : what_(std::make_shared(what)) {} + explicit ShortestPathCacheMiss(const std::string& what) : what_(std::make_shared(what)) {} [[nodiscard]] const char* what() const noexcept override; private: @@ -41,8 +41,8 @@ class DagCacheMiss : public std::exception { // statically eligible edge, whatever its capacity, on a shortest path from the roots (Forward) // or to them (Reverse), ignoring residual capacity. It keeps every equal-cost path and every // parallel edge. The key is (sorted root set, direction, Eligibility uid; 0 for no Eligibility). -// Values are immutable shared PredDAGs; reverse searches keep the original edge orientation. -// Values remain valid after clear() or cache destruction. Selection is applied when a policy +// Values are immutable shared PredecessorDAGs; reverse searches keep the original edge orientation. +// Values remain valid after clear() or cache destruction. The route choice is applied when a policy // creates a flow and is never cached. // // Building mode (a new cache): one writer, no concurrent readers. A hit returns the value; a miss @@ -52,7 +52,7 @@ class DagCacheMiss : public std::exception { // empties the cache; the hit and miss counters persist. // // Frozen mode (after freeze()): read-only and shareable; lookups from several threads at once are -// safe. A hit returns the value; a miss counts one miss and throws DagCacheMiss (nothing is +// safe. A hit returns the value; a miss counts one miss and throws ShortestPathCacheMiss (nothing is // inserted); clear() throws std::invalid_argument; freeze() again has no effect; thaw() returns to // building mode once the caller has joined every reader (no lookup may run concurrently with // freeze(), thaw() or destruction). @@ -63,9 +63,9 @@ class DagCacheMiss : public std::exception { // if the enclosing public call fails. Entries are always complete; keeping them changes no // later result. This is the exception to public calls' all-or-nothing state guarantee. // For a frozen cache, hits count only after the whole public call succeeds, including its -// Python result. A failed call counts nothing, except one miss if it raises DagCacheMiss. -// Direct lookup() follows the same rule: one hit on success, one miss on DagCacheMiss. -class DagCache { +// Python result. A failed call counts nothing, except one miss if it raises ShortestPathCacheMiss. +// Direct lookup() follows the same rule: one hit on success, one miss on ShortestPathCacheMiss. +class ShortestPathCache { public: struct Stats { std::int64_t hits {0}; @@ -75,14 +75,14 @@ class DagCache { std::int64_t live_values {0}; }; - explicit DagCache(const Graph& graph); - DagCache(const DagCache&) = delete; - DagCache& operator=(const DagCache&) = delete; - ~DagCache() = default; + explicit ShortestPathCache(const Graph& graph); + ShortestPathCache(const ShortestPathCache&) = delete; + ShortestPathCache& operator=(const ShortestPathCache&) = delete; + ~ShortestPathCache() = default; [[nodiscard]] std::uint64_t graph_uid() const noexcept { return graph_uid_; } - [[nodiscard]] std::shared_ptr lookup(const Graph& g, std::span roots, - Direction direction, const Eligibility* elig); + [[nodiscard]] std::shared_ptr lookup(const Graph& graph, std::span roots, + Direction direction, const Eligibility* eligibility); void freeze() noexcept; void thaw() noexcept; void clear(); @@ -92,8 +92,8 @@ class DagCache { friend struct detail::DagCacheAccess; // lookup() inside a public call: with a tally of this cache, a frozen hit is recorded in it and a // frozen miss counts nothing here (the call's boundary counts it). - std::shared_ptr lookup_in_call(const Graph& g, std::span roots, Direction direction, - const Eligibility* elig, detail::FrozenTally* tally); + std::shared_ptr lookup_in_call(const Graph& graph, std::span roots, Direction direction, + const Eligibility* eligibility, detail::FrozenCacheHitTally* tally); bool frozen_ {false}; using Key = std::tuple, Direction, std::uint64_t>; // A lookup's key over borrowed roots (a validated sorted, duplicate-free span): a hit needs no copy. @@ -117,7 +117,7 @@ class DagCache { } }; std::uint64_t graph_uid_ {0}; - std::map, KeyLess> entries_ {}; + std::map, KeyLess> entries_ {}; std::atomic hits_ {0}; std::atomic misses_ {0}; std::atomic num_entries_ {0}; diff --git a/include/netgraph/core/types.hpp b/include/netgraph/core/types.hpp index e518372..b466572 100644 --- a/include/netgraph/core/types.hpp +++ b/include/netgraph/core/types.hpp @@ -7,8 +7,8 @@ namespace netgraph::core { // Node and edge identifiers are signed 32-bit integers. An EdgeId is the rank of the edge in -// the stable order (src, cost, dst, input) of its graph; the input position of an -// edge is Graph::input_index()[e]. +// the stable order (source, cost, destination, input) of its graph; the input position of an +// edge is Graph::input_positions()[e]. using NodeId = std::int32_t; using EdgeId = std::int32_t; // Costs: integers, never converted. An edge cost is at least 1, so a path's cost is positive; a @@ -24,7 +24,7 @@ inline constexpr std::int64_t kDomainLimit = std::int64_t{1} << 62; // The path-cost sentinel of an unreachable node or an empty route. Python keeps this value itself // in the integer distance array SpfResult.costs and shows a single unreachable cost -// (SpfResult.target_cost, FlowRecord.route_cost) as None. Costs are positive and their sum is +// (SpfResult.target_cost, FlowRecord.min_route_cost) as None. Costs are positive and their sum is // below 2^62, so no path cost reaches it. inline constexpr Cost kUnreachable = std::numeric_limits::max(); diff --git a/python/netgraph_core/__init__.py b/python/netgraph_core/__init__.py index edc5bbd..1273868 100644 --- a/python/netgraph_core/__init__.py +++ b/python/netgraph_core/__init__.py @@ -5,18 +5,18 @@ to this file (``py.typed`` marks the package as typed). - The graph on integer units: ``Graph``, ``Eligibility``, ``to_units``, ``as_float``. -- Route structures: ``PredDAG``, ``Path``. -- Route selection and placement settings: ``PathSelection``, ``EdgeTieBreak``, - ``EdgePriority``, ``FlowPlacement``, ``Admission``, ``Origin``, ``WeightBasis``. +- Route structures: ``PredecessorDAG``, ``Path``. +- Route choice and placement settings: ``RouteTieBreak``, ``RouteAllocation``, ``Admission``, + ``SourceAllocation``, ``WeightBasis``. - The ledger of placed traffic: ``FlowLedger`` and its ``FlowRecord`` snapshots. - Forwarding programs: ``ForwardingProgram`` (with its ``Tunnel`` entries and - ``ForwardingProgram.from_routes`` over ``Route`` values), ``TunnelStatus``. -- The policy engine: ``FlowPolicy``, ``FlowPolicyConfig``, the routings ``CostOnly``, - ``CapacityAware`` (T1, with ``Tunnels``), ``Global`` (with ``tunnels``: T2), ``Pinned``, and + ``ForwardingProgram.from_routes`` over ``RouteDefinition`` values), ``TunnelStatus``. +- The policy engine: ``FlowPolicy``, ``FlowPolicyConfig``, the routings ``ShortestPaths``, + ``DistributedTE`` (T1, with ``TunnelCount``), ``CentralizedTE`` (with ``tunnel_count``: T2), ``Pinned``, and ``PlacementResult`` (with its ``SourceFlow`` and ``TunnelFlow`` rows and its ``TunnelPlan``), ``OutputOptions``, ``Termination``. -- The shortest-path cache: ``DagCache`` (building and frozen modes), ``DagCacheMiss``. -- The evaluators: ``capacity``, ``batch_capacity``, ``sensitivity``. +- The shortest-path cache: ``ShortestPathCache`` (building and frozen modes), ``ShortestPathCacheMiss``. +- The evaluators: ``evaluate_demand``, ``evaluate_pairs``, ``evaluate_edge_failures``. - The searches: ``spf`` (``Direction``, ``SpfOptions``, ``SpfResult``, ``UNREACHABLE``), ``ksp`` (``KspOptions``), ``resolve_to_paths``. @@ -27,54 +27,52 @@ from _netgraph_core import ( UNREACHABLE, - Absolute, + AbsoluteCost, Admission, - CapacityAware, - CostOnly, - DagCache, - DagCacheMiss, - DagCacheStats, + CentralizedTE, + CostStretch, Direction, - EdgePriority, - EdgeTieBreak, + DistributedTE, Eligibility, + EvaluationOptions, FlowLedger, - FlowPlacement, FlowPolicy, FlowPolicyConfig, FlowRecord, ForwardingProgram, - Global, Graph, KspOptions, - Origin, OutputOptions, Path, - PathSelection, Pinned, PlacementResult, - PredDAG, - QueryOptions, - Route, + PredecessorDAG, + RouteAllocation, + RouteDefinition, + RouteTieBreak, SensitivityEntry, SensitivityResult, + ShortestPathCache, + ShortestPathCacheMiss, + ShortestPathCacheStats, + ShortestPaths, + SourceAllocation, SourceFlow, SpfOptions, SpfResult, - Stretch, Termination, Tunnel, + TunnelCount, TunnelFlow, TunnelPlan, - Tunnels, TunnelStatus, WeightBasis, as_float, - batch_capacity, - capacity, + evaluate_demand, + evaluate_edge_failures, + evaluate_pairs, ksp, resolve_to_paths, - sensitivity, spf, to_units, ) @@ -87,27 +85,25 @@ "Eligibility", "to_units", "as_float", - "PredDAG", + "PredecessorDAG", "Path", - "EdgeTieBreak", - "EdgePriority", - "PathSelection", - "FlowPlacement", + "RouteTieBreak", + "RouteAllocation", "Admission", - "Origin", + "SourceAllocation", "WeightBasis", "FlowLedger", "FlowRecord", "TunnelStatus", "Tunnel", - "Route", + "RouteDefinition", "ForwardingProgram", - "Absolute", - "Stretch", - "Tunnels", - "CostOnly", - "CapacityAware", - "Global", + "AbsoluteCost", + "CostStretch", + "TunnelCount", + "ShortestPaths", + "DistributedTE", + "CentralizedTE", "Pinned", "FlowPolicyConfig", "OutputOptions", @@ -117,15 +113,15 @@ "TunnelFlow", "TunnelPlan", "FlowPolicy", - "DagCache", - "DagCacheMiss", - "DagCacheStats", - "QueryOptions", + "ShortestPathCache", + "ShortestPathCacheMiss", + "ShortestPathCacheStats", + "EvaluationOptions", "SensitivityEntry", "SensitivityResult", - "capacity", - "batch_capacity", - "sensitivity", + "evaluate_demand", + "evaluate_pairs", + "evaluate_edge_failures", "Direction", "SpfOptions", "SpfResult", diff --git a/python/netgraph_core/__init__.pyi b/python/netgraph_core/__init__.pyi index 58e1e14..f45e1f1 100644 --- a/python/netgraph_core/__init__.pyi +++ b/python/netgraph_core/__init__.pyi @@ -6,18 +6,18 @@ import everything from here. Type checkers read the generated stub ``__init__.py to this file (``py.typed`` marks the package as typed). - The graph on integer units: ``Graph``, ``Eligibility``, ``to_units``, ``as_float``. -- Route structures: ``PredDAG``, ``Path``. -- Route selection and placement settings: ``PathSelection``, ``EdgeTieBreak``, - ``EdgePriority``, ``FlowPlacement``, ``Admission``, ``Origin``, ``WeightBasis``. +- Route structures: ``PredecessorDAG``, ``Path``. +- Route choice and placement settings: ``RouteTieBreak``, ``RouteAllocation``, ``Admission``, + ``SourceAllocation``, ``WeightBasis``. - The ledger of placed traffic: ``FlowLedger`` and its ``FlowRecord`` snapshots. - Forwarding programs: ``ForwardingProgram`` (with its ``Tunnel`` entries and - ``ForwardingProgram.from_routes`` over ``Route`` values), ``TunnelStatus``. -- The policy engine: ``FlowPolicy``, ``FlowPolicyConfig``, the routings ``CostOnly``, - ``CapacityAware`` (T1, with ``Tunnels``), ``Global`` (with ``tunnels``: T2), ``Pinned``, and + ``ForwardingProgram.from_routes`` over ``RouteDefinition`` values), ``TunnelStatus``. +- The policy engine: ``FlowPolicy``, ``FlowPolicyConfig``, the routings ``ShortestPaths``, + ``DistributedTE`` (T1, with ``TunnelCount``), ``CentralizedTE`` (with ``tunnel_count``: T2), ``Pinned``, and ``PlacementResult`` (with its ``SourceFlow`` and ``TunnelFlow`` rows and its ``TunnelPlan``), ``OutputOptions``, ``Termination``. -- The shortest-path cache: ``DagCache`` (building and frozen modes), ``DagCacheMiss``. -- The evaluators: ``capacity``, ``batch_capacity``, ``sensitivity``. +- The shortest-path cache: ``ShortestPathCache`` (building and frozen modes), ``ShortestPathCacheMiss``. +- The evaluators: ``evaluate_demand``, ``evaluate_pairs``, ``evaluate_edge_failures``. - The searches: ``spf`` (``Direction``, ``SpfOptions``, ``SpfResult``, ``UNREACHABLE``), ``ksp`` (``KspOptions``), ``resolve_to_paths``. @@ -38,27 +38,25 @@ __all__: list[str] = [ "Eligibility", "to_units", "as_float", - "PredDAG", + "PredecessorDAG", "Path", - "EdgeTieBreak", - "EdgePriority", - "PathSelection", - "FlowPlacement", + "RouteTieBreak", + "RouteAllocation", "Admission", - "Origin", + "SourceAllocation", "WeightBasis", "FlowLedger", "FlowRecord", "TunnelStatus", "Tunnel", - "Route", + "RouteDefinition", "ForwardingProgram", - "Absolute", - "Stretch", - "Tunnels", - "CostOnly", - "CapacityAware", - "Global", + "AbsoluteCost", + "CostStretch", + "TunnelCount", + "ShortestPaths", + "DistributedTE", + "CentralizedTE", "Pinned", "FlowPolicyConfig", "OutputOptions", @@ -68,15 +66,15 @@ __all__: list[str] = [ "TunnelFlow", "TunnelPlan", "FlowPolicy", - "DagCache", - "DagCacheMiss", - "DagCacheStats", - "QueryOptions", + "ShortestPathCache", + "ShortestPathCacheMiss", + "ShortestPathCacheStats", + "EvaluationOptions", "SensitivityEntry", "SensitivityResult", - "capacity", - "batch_capacity", - "sensitivity", + "evaluate_demand", + "evaluate_pairs", + "evaluate_edge_failures", "Direction", "SpfOptions", "SpfResult", @@ -88,33 +86,33 @@ __all__: list[str] = [ ] __version__: str -class FlowPlacement: +class RouteAllocation: """ - How traffic spreads over the routes (CostOnly's kernel; the interior split of supplied PredDAG - routes, EQUAL_BALANCED or WEIGHTED). - MAX_FLOW: the minimum-cost flow core over the routes (a controller restricted to them), re-solved + How traffic spreads over the routes (ShortestPaths's kernel; the interior split of supplied PredecessorDAG + routes, EQUAL or WEIGHTED). + OPTIMIZED: the minimum-cost flow core over the routes (a controller restricted to them), re-solved over the free capacity plus the policy's own allocation (it may move its own earlier placement, never another's). WEIGHTED (WCMP, weighted-cost multipath): every node splits in proportion to weights fixed when the routes are prepared (highest averages: whole-unit shares as close to - proportional as possible; the weights come from WeightBasis). EQUAL_BALANCED (ECMP, equal-cost + proportional as possible; the weights come from WeightBasis). EQUAL (ECMP, equal-cost multipath): every node splits equally, by round robin. Members: - MAX_FLOW + EQUAL WEIGHTED - EQUAL_BALANCED + OPTIMIZED """ - EQUAL_BALANCED: typing.ClassVar[FlowPlacement] - MAX_FLOW: typing.ClassVar[FlowPlacement] - WEIGHTED: typing.ClassVar[FlowPlacement] - __members__: typing.ClassVar[dict[str, FlowPlacement]] + EQUAL: typing.ClassVar[RouteAllocation] + OPTIMIZED: typing.ClassVar[RouteAllocation] + WEIGHTED: typing.ClassVar[RouteAllocation] + __members__: typing.ClassVar[dict[str, RouteAllocation]] @typing.overload - def __eq__(self, other: FlowPlacement, /) -> bool: ... + def __eq__(self, other: RouteAllocation, /) -> bool: ... @typing.overload def __eq__(self, other: typing.Any, /) -> bool: ... def __getstate__(self) -> int: ... @@ -123,7 +121,7 @@ class FlowPlacement: def __init__(self, value: typing.SupportsInt | typing.SupportsIndex) -> None: ... def __int__(self) -> int: ... @typing.overload - def __ne__(self, other: FlowPlacement, /) -> bool: ... + def __ne__(self, other: RouteAllocation, /) -> bool: ... @typing.overload def __ne__(self, other: typing.Any, /) -> bool: ... def __repr__(self) -> str: ... @@ -139,7 +137,8 @@ class FlowPlacement: class Admission: """ LOSSLESS admits the largest total the routes carry with no loss at all; LOSSY sends the whole - finite offer hop by hop and records where it is lost (EQUAL_BALANCED and WEIGHTED only). + finite offer hop by hop and records where it is lost (every model except the optimizing ones: + ShortestPaths OPTIMIZED and CentralizedTE without tunnel_count). Members: @@ -175,7 +174,7 @@ class Admission: @property def value(self) -> int: ... -class Origin: +class SourceAllocation: """ How a demand's traffic enters at its sources, separately from how it is routed. EQUAL: round robin over the roster (ascending NodeId, the first sources one unit more); a source whose share @@ -189,12 +188,12 @@ class Origin: OPTIMIZED """ - EQUAL: typing.ClassVar[Origin] - OPTIMIZED: typing.ClassVar[Origin] - __members__: typing.ClassVar[dict[str, Origin]] + EQUAL: typing.ClassVar[SourceAllocation] + OPTIMIZED: typing.ClassVar[SourceAllocation] + __members__: typing.ClassVar[dict[str, SourceAllocation]] @typing.overload - def __eq__(self, other: Origin, /) -> bool: ... + def __eq__(self, other: SourceAllocation, /) -> bool: ... @typing.overload def __eq__(self, other: typing.Any, /) -> bool: ... def __getstate__(self) -> int: ... @@ -203,7 +202,7 @@ class Origin: def __init__(self, value: typing.SupportsInt | typing.SupportsIndex) -> None: ... def __int__(self) -> int: ... @typing.overload - def __ne__(self, other: Origin, /) -> bool: ... + def __ne__(self, other: SourceAllocation, /) -> bool: ... @typing.overload def __ne__(self, other: typing.Any, /) -> bool: ... def __repr__(self) -> str: ... @@ -218,12 +217,12 @@ class Origin: class WeightBasis: """ - Where WEIGHTED member weights come from (CostOnly WEIGHTED and supplied PredDAG routes). + Where WEIGHTED member weights come from (ShortestPaths WEIGHTED and supplied PredecessorDAG routes). CAPACITY (the default): each member's static capacity. EXPLICIT: edge_weights, one integer per edge (a positive weight on an edge of capacity 0 becomes 0). RESIDUAL_SNAPSHOT: each member's free capacity read once when the routes are prepared, against one common view, and frozen for the epoch. A member of weight 0 is pruned with the branches it leaves without a destination, inside - the route only. The selection's priority never chooses weights. + the route only. The tie rule never chooses weights. Members: @@ -262,75 +261,36 @@ class WeightBasis: @property def value(self) -> int: ... -class EdgeTieBreak: +class RouteTieBreak: """ - How a search breaks cost ties. Between parallel members of one (u, v) pair - (multi_edge = False): DETERMINISTIC keeps the lowest EdgeId, PREFER_HIGHER_PRIORITY the - higher priority value, then the lowest EdgeId. Between equal-cost walks (multipath = - False): PREFER_HIGHER_PRIORITY first takes the highest bottleneck (the smallest priority - value along the walk), DETERMINISTIC skips that step; then the fewest hops, then the - lexicographically smallest EdgeId sequence. + How a route choice breaks a cost tie; cost always comes first. FEWER_HOPS: then fewer hops, + then the smaller EdgeId sequence. HIGHER_CAPACITY / HIGHER_AVAILABLE_CAPACITY / + HIGHER_HEADROOM: then the larger path bottleneck of static capacity / availability / + availability over static capacity (exact; 0 at static capacity 0), then fewer hops, then the + EdgeId sequence. Availability: unreserved bandwidth for DistributedTE, the service view for + ShortestPaths, the residual for spf and ksp, static capacity without one. The same order + keeps one of each (u, v) pair's parallel edges when parallel_edges is False. It never + supplies weights and never enables a controller objective. Members: - DETERMINISTIC + FEWER_HOPS - PREFER_HIGHER_PRIORITY - """ + HIGHER_CAPACITY - DETERMINISTIC: typing.ClassVar[EdgeTieBreak] - PREFER_HIGHER_PRIORITY: typing.ClassVar[EdgeTieBreak] - __members__: typing.ClassVar[dict[str, EdgeTieBreak]] + HIGHER_AVAILABLE_CAPACITY - @typing.overload - def __eq__(self, other: EdgeTieBreak, /) -> bool: ... - @typing.overload - def __eq__(self, other: typing.Any, /) -> bool: ... - def __getstate__(self) -> int: ... - def __hash__(self) -> int: ... - def __index__(self) -> int: ... - def __init__(self, value: typing.SupportsInt | typing.SupportsIndex) -> None: ... - def __int__(self) -> int: ... - @typing.overload - def __ne__(self, other: EdgeTieBreak, /) -> bool: ... - @typing.overload - def __ne__(self, other: typing.Any, /) -> bool: ... - def __repr__(self) -> str: ... - def __setstate__( - self, state: typing.SupportsInt | typing.SupportsIndex, / - ) -> None: ... - def __str__(self) -> str: ... - @property - def name(self) -> str: ... - @property - def value(self) -> int: ... - -class EdgePriority: + HIGHER_HEADROOM """ - The per-edge value PREFER_HIGHER_PRIORITY reads (single-path and parallel-member choices): - RESIDUAL (residual units), CAPACITY (static capacity units), HEADROOM (residual / capacity, - compared exactly as a fraction, 0 on an edge of capacity 0). A search without a residual reads - the static capacity as the residual: RESIDUAL and CAPACITY read the capacity, HEADROOM 1 (0 on - an edge of capacity 0). T1's CSPF reads its unreserved view U instead (RESIDUAL U, HEADROOM - U / capacity). A search and T1 comparison only: it never enables a controller objective - (T2's is Global(prefer_headroom)) and never chooses weights (WeightBasis does). - Members: - - RESIDUAL - - CAPACITY - - HEADROOM - """ - - CAPACITY: typing.ClassVar[EdgePriority] - HEADROOM: typing.ClassVar[EdgePriority] - RESIDUAL: typing.ClassVar[EdgePriority] - __members__: typing.ClassVar[dict[str, EdgePriority]] + FEWER_HOPS: typing.ClassVar[RouteTieBreak] + HIGHER_AVAILABLE_CAPACITY: typing.ClassVar[RouteTieBreak] + HIGHER_CAPACITY: typing.ClassVar[RouteTieBreak] + HIGHER_HEADROOM: typing.ClassVar[RouteTieBreak] + __members__: typing.ClassVar[dict[str, RouteTieBreak]] @typing.overload - def __eq__(self, other: EdgePriority, /) -> bool: ... + def __eq__(self, other: RouteTieBreak, /) -> bool: ... @typing.overload def __eq__(self, other: typing.Any, /) -> bool: ... def __getstate__(self) -> int: ... @@ -339,7 +299,7 @@ class EdgePriority: def __init__(self, value: typing.SupportsInt | typing.SupportsIndex) -> None: ... def __int__(self) -> int: ... @typing.overload - def __ne__(self, other: EdgePriority, /) -> bool: ... + def __ne__(self, other: RouteTieBreak, /) -> bool: ... @typing.overload def __ne__(self, other: typing.Any, /) -> bool: ... def __repr__(self) -> str: ... @@ -392,51 +352,6 @@ class Direction: @property def value(self) -> int: ... -class PathSelection: - """ - The selection of a search or a policy: tie_break (DETERMINISTIC by default), priority - (CAPACITY by default); multipath None (the default) is the model's natural shape (every - equal-cost walk for searches and CostOnly, one path for a tunnel model), True every equal-cost - walk (the DAG; tunnel models reject it), False the one canonical single path; multi_edge = True - keeps every eligible parallel member, False one per (u, v) pair. A tie_break or priority - outside its enumeration raises ValueError. - """ - - def __eq__(self, arg0: typing.Any) -> bool: ... - def __hash__(self) -> int: ... - def __init__( - self, - tie_break: EdgeTieBreak = ..., - priority: EdgePriority = ..., - multipath: bool | None = None, - multi_edge: bool = True, - ) -> None: ... - def __repr__(self) -> str: ... - @property - def multi_edge(self) -> bool: - """ - True: every eligible parallel member; False: one member per (u, v) pair - """ - - @property - def multipath(self) -> bool | None: - """ - None: the model's natural shape; True: every equal-cost walk (a DAG); False: the canonical - single path - """ - - @property - def priority(self) -> EdgePriority: - """ - the EdgePriority - """ - - @property - def tie_break(self) -> EdgeTieBreak: - """ - the EdgeTieBreak - """ - class Eligibility: """ Which nodes and edges of one graph may be used: one flag per node and per edge, fixed when built @@ -476,23 +391,23 @@ class Eligibility: class Graph: """ Immutable directed multigraph on integer units (parallel edges and self-loops allowed). Edges are - given in input order and numbered by sorting on (src, cost, dst), ties kept in input order: that - number is the public EdgeId. input_index()[e] is the input position of edge e. Per-edge values - use EdgeId order; in_adj_edge_index() instead lists EdgeIds in incoming-slot order. Costs are - positive integers; capacities are int64 units of the explicit resolution q (a power of two in - [2^-32, 2^32]); physical capacities enter through to_units. + given in input order and numbered by sorting on (source, cost, destination), ties kept in input + order: that number is the public EdgeId. input_positions()[e] is the input position of edge e. + Per-edge values use EdgeId order; incoming_edges() instead lists EdgeIds in incoming-slot order. + Costs are positive integers; capacities are int64 units of the explicit resolution q (a power of + two in [2^-32, 2^32]); physical capacities enter through to_units. """ def __init__( self, num_nodes: typing.SupportsIndex, - src: collections.abc.Sequence[typing.SupportsIndex] + edge_sources: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer], - dst: collections.abc.Sequence[typing.SupportsIndex] + edge_destinations: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer], - capacity_units: collections.abc.Sequence[typing.SupportsIndex] + edge_capacity_units: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer], - cost: collections.abc.Sequence[typing.SupportsIndex] + edge_costs: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer], resolution: typing.SupportsFloat | typing.SupportsIndex, ) -> None: @@ -504,27 +419,27 @@ class Graph: does not depend on how the input is represented. """ - def capacity_units(self) -> numpy.typing.NDArray[numpy.int64]: + def edge_capacity_units(self) -> numpy.typing.NDArray[numpy.int64]: """ int64[E] capacities in units, id order (read-only view) """ - def cost(self) -> numpy.typing.NDArray[numpy.int64]: + def edge_cost_gcd(self) -> int: """ - int64[E] costs, id order (read-only view) + gcd of the edge costs (0 without edges) """ - def cost_gcd(self) -> int: + def edge_costs(self) -> numpy.typing.NDArray[numpy.int64]: """ - gcd of the edge costs (0 without edges) + int64[E] costs, id order (read-only view) """ - def edge_dst(self) -> numpy.typing.NDArray[numpy.int32]: + def edge_destinations(self) -> numpy.typing.NDArray[numpy.int32]: """ int32[E] destination node per edge (read-only view) """ - def edge_src(self) -> numpy.typing.NDArray[numpy.int32]: + def edge_sources(self) -> numpy.typing.NDArray[numpy.int32]: """ int32[E] source node per edge (read-only view) """ @@ -542,22 +457,22 @@ class Graph: both endpoints are allowed. Empty lists mean all allowed (uid 0). """ - def in_adj_edge_index(self) -> numpy.typing.NDArray[numpy.int32]: + def incoming_edges(self) -> numpy.typing.NDArray[numpy.int32]: """ - int32[E]: the in-edges of v in (cost, src, input) order, as EdgeIds + int32[E]: the in-edges of v in (cost, source, input) order, as EdgeIds """ - def in_row_offsets(self) -> numpy.typing.NDArray[numpy.int32]: + def incoming_offsets(self) -> numpy.typing.NDArray[numpy.int32]: """ - int32[N + 1]: the in-edges of v are in_adj_edge_index()[in_row_offsets[v] : in_row_offsets[v + 1]] + int32[N + 1]: the in-edges of v are incoming_edges()[incoming_offsets()[v] : incoming_offsets()[v + 1]] """ - def input_index(self) -> numpy.typing.NDArray[numpy.int32]: + def input_positions(self) -> numpy.typing.NDArray[numpy.int32]: """ int32[E]: EdgeId -> input position (read-only view); build the inverse yourself if needed """ - def max_cost(self) -> int: + def max_edge_cost(self) -> int: """ largest edge cost (0 without edges) """ @@ -572,14 +487,14 @@ class Graph: N: node ids are 0 .. N - 1 """ - def resolution(self) -> float: + def outgoing_offsets(self) -> numpy.typing.NDArray[numpy.int32]: """ - the resolution q (units of capacity) + int32[N + 1]: the out-edges of u are the ids [outgoing_offsets()[u], outgoing_offsets()[u + 1]) """ - def row_offsets(self) -> numpy.typing.NDArray[numpy.int32]: + def resolution(self) -> float: """ - int32[N + 1]: the out-edges of u are the ids [row_offsets[u], row_offsets[u + 1]) + the resolution q (units of capacity) """ def uid(self) -> int: @@ -587,7 +502,7 @@ class Graph: process-unique id (never reused) """ -class PredDAG: +class PredecessorDAG: """ Immutable route structure of one graph, a predecessor DAG (directed, no cycle): for each node v, the edges that reach v on the route and the node each comes from (its parent). The entries of v @@ -596,25 +511,25 @@ class PredDAG: and compare equal; DAGs of different graphs never compare equal. parents() and via_edges() are read-only views that keep the DAG alive; parent_offsets() is a new read-only array on each call (the DAG stores only the nodes that have entries). Built by - PredDAG.from_csr, Path.to_dag(), the searches and the policies (FlowRecord.bundle). + PredecessorDAG.from_csr, Path.to_dag(), the searches and the policies (FlowRecord.route). """ def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... @staticmethod def from_csr( graph: Graph, - offsets: collections.abc.Sequence[typing.SupportsIndex] + parent_offsets: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer], parents: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer], - via: collections.abc.Sequence[typing.SupportsIndex] + via_edges: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer], - ) -> PredDAG: + ) -> PredecessorDAG: """ - Validates, in order, before any traversal (ValueError on the first defect): offsets of - length N + 1, offsets[0] == 0, monotone, offsets[N] == len(parents) == len(via); then every - parent and via in range, every via joining (parent, child), no duplicate (child, via), - acyclic; within a node the entries in ascending via EdgeId. + Validates, in order, before any traversal (ValueError on the first defect): parent_offsets of + length N + 1, parent_offsets[0] == 0, monotone, parent_offsets[N] == len(parents) == + len(via_edges); then every parent and via edge in range, every via edge joining (parent, child), + no duplicate (child, via edge), acyclic; within a node the entries in ascending via EdgeId. """ def __eq__(self, arg0: typing.Any) -> bool: ... @@ -670,7 +585,7 @@ class Path: sum over hops of the minimum member cost """ - def dst(self) -> int: + def destination(self) -> int: """ the last node of the walk """ @@ -685,25 +600,25 @@ class Path: the hops as lists of EdgeIds (the caller's member order) """ - def src(self) -> int: + def source(self) -> int: """ the first node of the walk """ - def to_dag(self) -> PredDAG: + def to_dag(self) -> PredecessorDAG: """ - the equivalent PredDAG (every member of every hop) + the equivalent PredecessorDAG (every member of every hop) """ class FlowRecord: """ - One flow of a ledger, as a snapshot: flow_id (ledger uid, id), owner (the policy's id), - sources, destinations, admission, entry (a T1, T2 or Pinned policy's program entry, else None), bundle - (PredDAG: the flow's route), - route_cost (its minimum walk cost; None when empty), offered (Lossy only, else None), - delivered, edges [(EdgeId, units)] (carried load) and drops [(EdgeId, units)] (cumulative, - ascending EdgeId), reserved_edges [(EdgeId, units)] (T1's strict holds, ascending EdgeId). offered - and the drops units are exact Python ints (they may exceed 64 bits). + One flow of a ledger, as a snapshot: flow_id (ledger uid, id), policy_id (the policy's id), + sources, destinations, admission, entry_id (a T1, T2 or Pinned policy's program entry, else None), + route (PredecessorDAG: the flow's route), min_route_cost (its minimum walk cost; None when empty), + offered (Lossy only, else None), delivered, edge_flows [(EdgeId, units)] (carried load) and + edge_drops [(EdgeId, units)] (cumulative, ascending EdgeId), edge_reservations [(EdgeId, units)] + (T1's strict holds, ascending EdgeId). offered and the edge_drops units are exact Python ints (they + may exceed 64 bits). """ def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... @@ -714,12 +629,6 @@ class FlowRecord: LOSSLESS or LOSSY """ - @property - def bundle(self) -> PredDAG: - """ - the flow's route (an immutable PredDAG shared with the ledger) - """ - @property def delivered(self) -> int: """ @@ -733,23 +642,30 @@ class FlowRecord: """ @property - def drops(self) -> list[tuple[int, int]]: + def edge_drops(self) -> list[tuple[int, int]]: """ Lossy: the units dropped per edge [(EdgeId, units)], summed over calls, positive entries in ascending EdgeId (exact ints); empty for a Lossless flow """ @property - def edges(self) -> list[tuple[int, int]]: + def edge_flows(self) -> list[tuple[int, int]]: """ the flow's allocation [(EdgeId, units)], positive entries in ascending EdgeId """ @property - def entry(self) -> int | None: + def edge_reservations(self) -> list[tuple[int, int]]: + """ + T1: the strict holds of an up tunnel [(EdgeId, units)], its request on every link of its path, + ascending EdgeId; empty for every other record (holds never police traffic) + """ + + @property + def entry_id(self) -> int | None: """ the program entry the record carries (T1, T2 and Pinned: the entry identifier); None for the - records kept per roster source (CostOnly, Global) + records kept per roster source (ShortestPaths, CentralizedTE) """ @property @@ -759,30 +675,29 @@ class FlowRecord: """ @property - def offered(self) -> int | None: + def min_route_cost(self) -> int | None: """ - Lossy: the units offered to the flow, summed over calls (an exact int, may exceed 64 bits); - None for a Lossless flow + the cost of the cheapest walk of the route from the sources to the destinations; None when + the route has no such walk """ @property - def owner(self) -> int: + def offered(self) -> int | None: """ - the ledger-local id of the policy that created the flow + Lossy: the units offered to the flow, summed over calls (an exact int, may exceed 64 bits); + None for a Lossless flow """ @property - def reserved_edges(self) -> list[tuple[int, int]]: + def policy_id(self) -> int: """ - T1: the strict holds of an up tunnel [(EdgeId, units)], its request on every link of its path, - ascending EdgeId; empty for every other record (holds never police traffic) + the ledger-local id of the policy that created the flow """ @property - def route_cost(self) -> int | None: + def route(self) -> PredecessorDAG: """ - the cost of the cheapest walk of the bundle from the sources to the destinations; None when - the bundle has no such walk + the flow's route (an immutable PredecessorDAG shared with the ledger) """ @property @@ -794,9 +709,9 @@ class FlowRecord: class FlowLedger: """ The integer ledger of one graph, in two projections that are never added: carried traffic (the - service baseline; allocated() is the sum of every record's edges and residual() = baseline - - allocated()) and the strict holds of T1 tunnels (the reservation baseline; reserved() is the sum of - every record's reserved_edges and unreserved() = reservation baseline - reserved()), all int64[E] + service baseline; carried() is the sum of every record's edge_flows and residual() = baseline - + carried()) and the strict holds of T1 tunnels (the reservation baseline; reserved() is the sum of + every record's edge_reservations and unreserved() = reservation baseline - reserved()), all int64[E] snapshots. Traffic may use bandwidth that is held: holds never police. The baselines are replaced only by reset(); the records are the flows placed on it by policies (the ledger has no public placement, removal or reservation). reset() and copy() are rejected while a policy is bound (a @@ -808,49 +723,36 @@ class FlowLedger: def __init__( self, graph: Graph, - residual: collections.abc.Sequence[typing.SupportsIndex] + service_baseline: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer] | None = None, *, - unreserved: collections.abc.Sequence[typing.SupportsIndex] + reservation_baseline: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer] | None = None, ) -> None: """ - residual and unreserved: the service and reservation baselines as integer units, one entry per - edge in [0, capacity_units[e]] (a physical baseline goes through to_units first; residual checked - first); None: the capacities. ValueError otherwise. + service_baseline and reservation_baseline: the baselines as integer units, one entry per edge in + [0, the edge's capacity] (a physical baseline goes through to_units first; service_baseline + checked first); None: the capacities. ValueError otherwise. """ - def allocated(self) -> numpy.typing.NDArray[numpy.int64]: + def carried(self) -> numpy.typing.NDArray[numpy.int64]: """ - int64[E] snapshot: the sum of every record's edges + int64[E] snapshot: the sum of every record's edge_flows """ - def bottleneck( - self, - sources: typing.SupportsIndex - | collections.abc.Sequence[typing.SupportsIndex] - | numpy.typing.NDArray[numpy.integer], - elig: Eligibility | None = None, - ) -> list[int]: + def copy(self) -> FlowLedger: """ - Saturation report: the eligible edges with capacity >= 1 unit that leave the set of nodes the - allowed sources can reach (following eligible edges forward with residual >= 1 unit), in - ascending EdgeId. It ignores the destinations, so it is not a source-destination cut. + a new ledger (new uid) with the same baselines, records and holds, ids kept under the new uid; + ValueError while a policy is bound """ - def capacity_units(self) -> numpy.typing.NDArray[numpy.int64]: + def edge_capacity_units(self) -> numpy.typing.NDArray[numpy.int64]: """ int64[E] the graph's capacities in units (read-only view) """ - def copy(self) -> FlowLedger: - """ - a new ledger (new uid) with the same baselines, records and holds, ids kept under the new uid; - ValueError while a policy is bound - """ - def graph(self) -> Graph: """ the ledger's graph @@ -871,16 +773,16 @@ class FlowLedger: def reserved(self) -> numpy.typing.NDArray[numpy.int64]: """ - int64[E] snapshot: strict holds per edge (T1), the sum of every record's reserved_edges + int64[E] snapshot: strict holds per edge (T1), the sum of every record's edge_reservations """ def reset( self, - residual: collections.abc.Sequence[typing.SupportsIndex] + service_baseline: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer] | None = None, *, - unreserved: collections.abc.Sequence[typing.SupportsIndex] + reservation_baseline: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer] | None = None, ) -> None: @@ -891,7 +793,20 @@ class FlowLedger: def residual(self) -> numpy.typing.NDArray[numpy.int64]: """ - int64[E] snapshot: baseline - allocated + int64[E] snapshot: service_baseline - carried() + """ + + def saturated_boundary_edges( + self, + sources: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + eligibility: Eligibility | None = None, + ) -> list[int]: + """ + Saturation report: the eligible edges with capacity >= 1 unit that leave the set of nodes the + allowed sources can reach (following eligible edges forward with residual >= 1 unit), in + ascending EdgeId. It ignores the destinations, so it is not a source-destination cut. """ def uid(self) -> int: @@ -906,8 +821,8 @@ class FlowLedger: class TunnelStatus: """ - A tunnel's state. UP; NO_BANDWIDTH and COST_CEILING: T1's setup left it down (no path passes - the bandwidth filter, or the cheapest exceeds the cost ceiling): no path, weight 0, and it + A tunnel's state. UP; INSUFFICIENT_BANDWIDTH and COST_CEILING_EXCEEDED: T1's setup left it down (no path + passes the bandwidth filter, or the cheapest exceeds the cost ceiling): no path, weight 0, and it stays down in every forwarding of its program; and in one forwarding only (a by_tunnel row) FAILED: its path touches a node or an edge the forwarding policy's Eligibility excludes, so it gets nothing and its head splits over its other entries (replay), and BLACKHOLED: up, but its @@ -917,9 +832,9 @@ class TunnelStatus: UP - NO_BANDWIDTH + INSUFFICIENT_BANDWIDTH - COST_CEILING + COST_CEILING_EXCEEDED FAILED @@ -927,9 +842,9 @@ class TunnelStatus: """ BLACKHOLED: typing.ClassVar[TunnelStatus] - COST_CEILING: typing.ClassVar[TunnelStatus] + COST_CEILING_EXCEEDED: typing.ClassVar[TunnelStatus] FAILED: typing.ClassVar[TunnelStatus] - NO_BANDWIDTH: typing.ClassVar[TunnelStatus] + INSUFFICIENT_BANDWIDTH: typing.ClassVar[TunnelStatus] UP: typing.ClassVar[TunnelStatus] __members__: typing.ClassVar[dict[str, TunnelStatus]] @@ -958,14 +873,15 @@ class TunnelStatus: class Tunnel: """ - One tunnel (a path entry) of a ForwardingProgram, read-only. index: the entry identifier (T1 and - T2: j*H + i for round j and roster position i, T2's dead heads leaving holes; Global and CostOnly - MAX_FLOW: the path's position in the decomposition order; supplied routes: the route's position in + One tunnel (a path entry) of a ForwardingProgram, read-only. entry_id: the entry identifier (T1 and + T2: j*H + i for round j and roster position i, T2's dead heads leaving holes; CentralizedTE and ShortestPaths + OPTIMIZED: the path's position in the decomposition order; supplied routes: the route's position in the list), never a position in program.tunnels; head; local_index: its position among the head's entries of both kinds; - destination: where its path ends; edges: its EdgeIds in path order; route_cost: the sum of their - costs (all three None for a tunnel that is down); status: UP, NO_BANDWIDTH or COST_CEILING; - requested and reserved: T1's strict bandwidth (its request, and what it holds on every link of - its path: the request when UP, else 0; 0 for the other models); planned: T2's planned bandwidth + destination: where its path ends; edges: its EdgeIds in path order; path_cost: the sum of their + costs (all three None for a tunnel that is down); status: UP, INSUFFICIENT_BANDWIDTH or + COST_CEILING_EXCEEDED; requested_bandwidth and reserved_bandwidth: T1's strict bandwidth (its request, + and what it holds on every link of its path: the request when UP, else 0; 0 for the other models); + planned_bandwidth: T2's planned bandwidth u (metadata, never held; 0 for the other models); weight: its integer share among the head's entries (T1: 1 up, 0 down; T2: 1; a controller path: its solved amount). """ @@ -981,54 +897,54 @@ class Tunnel: """ @property - def head(self) -> int: ... + def entry_id(self) -> int: ... @property - def index(self) -> int: ... + def head(self) -> int: ... @property def local_index(self) -> int: ... @property - def planned(self) -> int: ... + def path_cost(self) -> int | None: ... @property - def requested(self) -> int: ... + def planned_bandwidth(self) -> int: ... @property - def reserved(self) -> int: ... + def requested_bandwidth(self) -> int: ... @property - def route_cost(self) -> int | None: ... + def reserved_bandwidth(self) -> int: ... @property def status(self) -> TunnelStatus: ... @property def weight(self) -> int: ... -class Route: +class RouteDefinition: """ A supplied route for ForwardingProgram.from_routes: a Path with one edge per hop (a tunnel) or a - PredDAG (a split route) starting at `head`; weight is its integer share among the head's routes + PredecessorDAG (a split route) starting at `head`; weight is its integer share among the head's routes (0 allowed: it carries nothing). from_routes validates it. """ def __init__( self, head: typing.SupportsIndex, - bundle: Path | PredDAG, + route: Path | PredecessorDAG, *, weight: typing.SupportsIndex = 1, ) -> None: """ - Route(head, bundle, *, weight=1): head a NodeId, bundle a Path or a PredDAG (TypeError otherwise), - weight an integer (checked in [0, 2^62) by from_routes). + RouteDefinition(head, route, *, weight=1): head a NodeId, route a Path or a PredecessorDAG (TypeError + otherwise), weight an integer (checked in [0, 2^62) by from_routes). """ def __repr__(self) -> str: ... @property - def bundle(self) -> Path | PredDAG: + def head(self) -> int: """ - the Path (a tunnel) or the PredDAG (a split route) + the route's head (a source of the program) """ @property - def head(self) -> int: + def route(self) -> Path | PredecessorDAG: """ - the route's head (a source of the program) + the Path (a tunnel) or the PredecessorDAG (a split route) """ @property @@ -1043,12 +959,44 @@ class ForwardingProgram: sets); tunnels: the path entries in ascending index (split routes are not listed); source_weights: the captured source supplies ((source, weight) for every roster source, ascending) of the optimized controllers, None for equal sources (round robin over the roster). Each head splits its share by - highest averages over its entries' weights; identical routes are never merged. CostOnly and Global + highest averages over its entries' weights; identical routes are never merged. ShortestPaths and CentralizedTE produce one (FlowPolicy.program, PlacementResult.program), and so do T1 and T2 (their tunnels); from_routes builds one from given routes; Pinned forwards one. No public constructor. """ def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... + @staticmethod + def from_dag( + graph: Graph, + sources: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + destinations: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + dag: PredecessorDAG, + *, + allocation: RouteAllocation | None = None, + weight_basis: WeightBasis | None = None, + edge_weights: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None = None, + residual: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None = None, + ) -> ForwardingProgram: + """ + One shared hop-by-hop program on a supplied PredecessorDAG of the graph -> ForwardingProgram: the sources + allocated equally and pooled at every shared router exactly as ShortestPaths EQUAL/WEIGHTED (one + split context), the DAG trimmed to the walks from each source to its first destinations. ValueError for + the first failure, in this order: the endpoint sets; `dag belongs to another graph`; allocation OPTIMIZED + (`from_dag allocation must be EQUAL or WEIGHTED`); weight_basis only with allocation=WEIGHTED, EXPLICIT + with edge_weights, RESIDUAL_SNAPSHOT with residual; edge_weights' length and entries in [0, 2^62) and + residual's (one entry per edge in [0, capacity]). A dag of another type raises TypeError. The roster is + the sources that reach a destination in the DAG (possibly none): one split route per roster source, + identified by roster position, no tunnel; a replay rebuilds the roster on the DAG. + """ + @staticmethod def from_routes( graph: Graph, @@ -1058,10 +1006,10 @@ class ForwardingProgram: destinations: typing.SupportsIndex | collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer], - routes: collections.abc.Sequence[Route], + routes: collections.abc.Sequence[RouteDefinition], *, - placement: FlowPlacement | None = None, - weights: WeightBasis | None = None, + allocation: RouteAllocation | None = None, + weight_basis: WeightBasis | None = None, edge_weights: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer] | None = None, @@ -1071,15 +1019,15 @@ class ForwardingProgram: ) -> ForwardingProgram: """ Validate and freeze supplied routes -> ForwardingProgram (ValueError for the first failure, in this - order): the endpoint sets; `routes must not be empty`; when no route is a PredDAG, any option given - (` applies only to PredDAG routes`); placement MAX_FLOW - (`from_routes placement must be EQUAL_BALANCED or WEIGHTED`); weights only with placement=WEIGHTED, + order): the endpoint sets; `routes must not be empty`; when no route is a PredecessorDAG, any option given + (` applies only to PredecessorDAG routes`); allocation + OPTIMIZED (`from_routes allocation must be EQUAL or WEIGHTED`); weight_basis only with allocation=WEIGHTED, EXPLICIT with edge_weights, RESIDUAL_SNAPSHOT with residual; edge_weights' length and entries in [0, 2^62) and residual's (one entry per edge in [0, capacity]); then each route in list order: its - bundle's graph, its head a source, a Path with one edge per hop that starts at the head, ends at a - destination and meets none before, a PredDAG with a walk from the head to a destination, its weight - in [0, 2^62). Order and duplicates are kept; a route of weight 0 is validated in full. placement - (None: EQUAL_BALANCED) is the interior split of the PredDAG routes; each split route is its own + route's graph, its head a source, a Path with one edge per hop that starts at the head, ends at a + destination and meets none before, a PredecessorDAG with a walk from the head to a destination, its weight + in [0, 2^62). Order and duplicates are kept; a route of weight 0 is validated in full. allocation + (None: EQUAL) is the interior split of the PredecessorDAG routes; each split route is its own split context (a router splits only that route's share). The roster is the sources with a route. """ @@ -1107,7 +1055,7 @@ class ForwardingProgram: the program's tunnels (Tunnel), ascending index """ -class Absolute: +class AbsoluteCost: """ Cost ceiling: an absolute, inclusive path-cost budget (cost >= 0). """ @@ -1116,7 +1064,7 @@ class Absolute: def __hash__(self) -> int: ... def __init__(self, cost: typing.SupportsIndex) -> None: """ - Absolute(cost): a 64-bit integer budget in cost units (checked >= 0 where it is used) + AbsoluteCost(cost): a 64-bit integer budget in cost units (checked >= 0 where it is used) """ def __repr__(self) -> str: ... @@ -1126,46 +1074,53 @@ class Absolute: the budget: a path qualifies when its cost is at most this """ -class Stretch: +class CostStretch: """ - Cost ceiling: a route qualifies when its cost is at most factor times the static shortest cost - under the Eligibility; factor is in [1, inf), and the float is compared exactly, without rounding. + Cost ceiling: a path qualifies when cost * d <= n * base, exactly, where n/d is the factor as + one reduced fraction and base the static shortest cost under the Eligibility. """ def __eq__(self, arg0: typing.Any) -> bool: ... def __hash__(self) -> int: ... - def __init__(self, factor: float | numpy.floating | typing.SupportsIndex) -> None: + def __init__( + self, factor: fractions.Fraction | float | numpy.floating | typing.SupportsIndex + ) -> None: """ - Stretch(factor): a number, checked finite and >= 1 where it is used; a path qualifies when its - cost is at most factor times the static shortest cost. Here, an integer beyond the largest finite - float raises ValueError. + CostStretch(factor): in this order, a bool (or numpy.bool_) raises TypeError; a fractions.Fraction + is taken as it is; a Python float or any NumPy floating value is Fraction(str(f)), the shortest + decimal its own type prints (1.2, np.float64(1.2) and np.float32(1.2) are all 6/5), and a NaN or + an infinity raises ValueError; an integer, NumPy integer or any __index__ object is n/1 exactly; + anything else raises TypeError. Then a reduced numerator outside [-2^63, 2^63) or denominator + outside [1, 2^63) raises ValueError. A factor below 1 is valid here and refused where the + ceiling is used. """ def __repr__(self) -> str: ... @property - def factor(self) -> float: + def factor(self) -> fractions.Fraction: """ - the factor as a float + the factor as a fractions.Fraction (built on each access) """ -class Tunnels: +class TunnelCount: """ - The tunnel count of T1 (CapacityAware) and T2, per head: count in [1, 10000] (checked when a + The tunnel count of T1 (DistributedTE) and T2, per head: per_head in [1, 10000] (checked when a policy or an evaluator uses it). up_to=True (T2 only; T1 rejects it): one common count k in - 1..count for every head, the smallest that delivers the design. + 1..per_head for every head, the smallest that delivers the design. """ def __eq__(self, arg0: typing.Any) -> bool: ... def __hash__(self) -> int: ... - def __init__(self, count: typing.SupportsIndex, *, up_to: bool = False) -> None: + def __init__(self, per_head: typing.SupportsIndex, *, up_to: bool = False) -> None: """ - Tunnels(count, *, up_to=False): a 64-bit integer count (a bool, a float or an integer outside 64 bits - raises ValueError here; [1, 10000] is checked where it is used) and a bool + TunnelCount(per_head, *, up_to=False): a 64-bit integer per_head (a bool, a float or None raises + TypeError and an integer outside 64 bits ValueError here; [1, 10000] is checked where it is + used) and a bool """ def __repr__(self) -> str: ... @property - def count(self) -> int: + def per_head(self) -> int: """ the tunnels per head (the largest count for up_to) """ @@ -1173,62 +1128,128 @@ class Tunnels: @property def up_to(self) -> bool: """ - True: the smallest sufficient count up to `count` (T2 only) + True: the smallest sufficient count up to per_head (T2 only) """ -class CostOnly: +class ShortestPaths: """ Routing like IGP forwarding (OSPF, IS-IS routers) on each roster source's static shortest-path - DAG (read from the DagCache; the selection is applied at the epoch's first positive call), - fixed for the epoch; one record per roster source. EQUAL_BALANCED and WEIGHTED pool the sources - (origin EQUAL): where their routes meet, a router splits their traffic once. MAX_FLOW is a - controller on the union of those routes (origin OPTIMIZED or EQUAL). An edge of capacity 0 - stays in the DAG: EQUAL_BALANCED still sends it its share, which it cannot carry, and WEIGHTED - gives it weight 0. + DAG (read from the ShortestPathCache; the route choice is applied at the epoch's first positive call), + fixed for the epoch; one record per roster source. EQUAL (ECMP, the default) and WEIGHTED + (WCMP) pool the sources (source allocation EQUAL): where their routes meet, a router splits + their traffic once. OPTIMIZED is a controller on the union of those routes (source allocation + OPTIMIZED by default, or EQUAL). An edge of capacity 0 stays in the DAG: EQUAL still sends it + its share, which it cannot carry, and WEIGHTED gives it weight 0. """ - def __init__(self) -> None: + def __init__( + self, + *, + allocation: RouteAllocation = ..., + source_allocation: SourceAllocation | None = None, + weight_basis: WeightBasis | None = None, + edge_weights: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None = None, + tie_break: RouteTieBreak = ..., + multipath: bool = True, + parallel_edges: bool = True, + ) -> None: """ - CostOnly routing (no parameters) + ShortestPaths(*, allocation=EQUAL, source_allocation=None, weight_basis=None, edge_weights=None, + tie_break=FEWER_HOPS, multipath=True, parallel_edges=True): ShortestPaths() is ECMP. + source_allocation None resolves to EQUAL for EQUAL and WEIGHTED (the only allowed value) and to + OPTIMIZED for OPTIMIZED; weight_basis (WEIGHTED only; None: CAPACITY) and edge_weights (one + integer per edge, given exactly when weight_basis=EXPLICIT; one array shared by every policy + built from this model). The combination is checked when a policy or an evaluator uses the model + (ValueError, in the order of the model matrix). Here, a value of the wrong type (a multipath or parallel_edges that + is not a bool, an enumeration of another class, an edge_weights that is not a 1-D sequence of + integers or has a bool or a float entry) raises TypeError, and an edge_weights entry beyond + int64 ValueError. """ def __repr__(self) -> str: ... + @property + def allocation(self) -> RouteAllocation: + """ + the RouteAllocation: EQUAL, WEIGHTED or OPTIMIZED + """ + + @property + def edge_weights(self) -> tuple[int, ...] | None: + """ + the explicit weights (one int per edge, a tuple), or None + """ + + @property + def multipath(self) -> bool: + """ + True: every equal-cost route; False: the one canonical path per destination + """ + + @property + def parallel_edges(self) -> bool: + """ + True: every eligible parallel edge; False: one per (u, v) pair by the tie rule + """ + + @property + def source_allocation(self) -> SourceAllocation | None: + """ + the SourceAllocation, or None (a policy's config: resolved to the allocation's default) + """ + + @property + def tie_break(self) -> RouteTieBreak: + """ + the RouteTieBreak of equal-cost choices + """ + + @property + def weight_basis(self) -> WeightBasis | None: + """ + the WeightBasis, or None (a policy's config: CAPACITY resolved for WEIGHTED) + """ -class CapacityAware: +class DistributedTE: """ T1: every head sets up its own strict tunnels by CSPF, no controller (like RSVP-TE head ends). The design volume D is split equally over the roster heads and each head's share equally over its - tunnels.count tunnels; in round order (round j, heads ascending: tunnel index j*H + i) each tunnel + tunnel_count.per_head tunnels; in round order (round j, heads ascending: tunnel index j*H + i) each tunnel keeps the allowed links whose unreserved capacity (the ledger's, minus the holds of every other owner and of this setup's earlier tunnels) is at least max(request, min_unreserved_bandwidth) (a - request of 0 with a minimum of 0 has no filter) and takes the shortest path in the selection's + request of 0 with a minimum of 0 has no filter) and takes the shortest path in the tie_break's single-path order; it comes up holding exactly its request on every link (UP), or stays down - holding nothing: NO_BANDWIDTH (no path passes the filter) or COST_CEILING (the cheapest exceeds - max_path_cost: Absolute is inclusive; Stretch(f) is f times the smallest static shortest cost over + holding nothing: INSUFFICIENT_BANDWIDTH (no path passes the filter) or COST_CEILING_EXCEEDED (the cheapest exceeds + cost_ceiling: AbsoluteCost is inclusive; CostStretch(f) is f times the smallest static shortest cost over all roster heads). Traffic enters equally at the heads and splits equally over each head's up tunnels; a head with no tunnel up loses its share. Holds never police traffic. """ def __init__( self, - tunnels: Tunnels, + tunnel_count: TunnelCount, *, - max_path_cost: Absolute | Stretch | None = None, + cost_ceiling: AbsoluteCost | CostStretch | None = None, min_unreserved_bandwidth: typing.SupportsIndex = 0, + tie_break: RouteTieBreak = ..., + parallel_edges: bool = True, ) -> None: """ - CapacityAware(tunnels, *, max_path_cost=None, min_unreserved_bandwidth=0): the fields are checked - when a policy is built with them (the count in [1, 10000] and exact, the ceiling, - min_unreserved_bandwidth in [0, 2^62) units). Here, a min_unreserved_bandwidth of the wrong type or - outside 64 bits raises ValueError; tunnels that is not a Tunnels, a ceiling of the wrong class and - an unknown keyword raise TypeError. + DistributedTE(tunnel_count, *, cost_ceiling=None, min_unreserved_bandwidth=0, tie_break=FEWER_HOPS, + parallel_edges=True): the fields are checked when a policy is built with them (the count in + [1, 10000] and exact, the ceiling, min_unreserved_bandwidth in [0, 2^62) units). tie_break and + parallel_edges are the CSPF choice, scored on unreserved bandwidth. Here, a + min_unreserved_bandwidth outside 64 bits raises ValueError; one of the wrong type, a tunnel_count + that is not a TunnelCount, a ceiling of the wrong class, a parallel_edges that is not a bool and an + unknown keyword raise TypeError. """ def __repr__(self) -> str: ... @property - def max_path_cost(self) -> Absolute | Stretch | None: + def cost_ceiling(self) -> AbsoluteCost | CostStretch | None: """ - the inclusive route cost ceiling (Absolute or Stretch); None: no ceiling + the inclusive route cost ceiling (AbsoluteCost or CostStretch); None: no ceiling """ @property @@ -1239,30 +1260,43 @@ class CapacityAware: """ @property - def tunnels(self) -> Tunnels: + def parallel_edges(self) -> bool: + """ + True: every eligible parallel edge; False: one per (u, v) pair by the tie rule + """ + + @property + def tie_break(self) -> RouteTieBreak: + """ + the RouteTieBreak of the CSPF choice + """ + + @property + def tunnel_count(self) -> TunnelCount: """ - the tunnel count per head (a Tunnels) + the tunnel count per head (a TunnelCount) """ -class Global: +class CentralizedTE: """ - Routing: an ideal central controller that sees the whole network (with `tunnels`: T2, below). + Routing: an ideal central controller that sees the whole network (with `tunnel_count`: T2, below). Every positive call re-solves the minimum-cost flow of what the policy already delivers plus this - call's request (placed_demand() + volume; what an earlier call could not place is not requested - again) over the eligible graph, or exactly over `support` (a PredDAG of the policy's graph, trimmed to the + call's request (delivered() + offer; what an earlier call could not place is not requested + again) over the eligible graph, or exactly over `support` (a PredecessorDAG of the policy's graph, trimmed to the walks from the sources to the allowed destinations under the Eligibility; every other edge carries nothing), on the free capacity plus its own allocation (it may move its own traffic, - never another's). It takes no placement and no selection. Origin OPTIMIZED (the default): the + never another's). It takes no route choice. Its source_allocation is required: OPTIMIZED, the controller chooses how much enters at each source; EQUAL: every roster source sends its round-robin share of the largest total whose shares all fit. Its program is the solve cut into paths per source, each a tunnel weighted by its amount. A positive call on a network beyond the flow core's int32 numbering raises ValueError (see FlowPolicy.place). - T2, Global(tunnels=Tunnels(N)) (support must be None; no selection either): a controller (like + T2, CentralizedTE(source_allocation=..., tunnel_count=TunnelCount(N)) (no route choice either; with + support, every step uses only the support's edges allowed by the policy's mask): a controller (like a PCE) lays out, for every live head (one reaching a destination over links with free capacity >= 1; the other heads are dead and lose their share), N single-path tunnels with one common whole-unit planned bandwidth: first as large as possible (U), then for a finite design no larger than needed (u), then the cheapest routes, then with prefer_headroom=True the routes that leave - the most spare capacity, then one fixed unit-by-unit tie. Tunnels(L, up_to=True): the smallest + the most spare capacity, then one fixed unit-by-unit tie. TunnelCount(L, up_to=True): the smallest common count k <= L whose program carries the design (else the best, then the smallest). Traffic splits equally over the heads and over each head's tunnels; planned bandwidth is never held. @@ -1271,17 +1305,19 @@ class Global: def __init__( self, *, - support: PredDAG | None = None, - tunnels: Tunnels | None = None, + source_allocation: SourceAllocation, + support: PredecessorDAG | None = None, + tunnel_count: TunnelCount | None = None, prefer_headroom: bool = False, ) -> None: """ - Global(*, support=None, tunnels=None, prefer_headroom=False): support a PredDAG of the policy's - graph (checked when a policy is built with it: `support belongs to another graph`) or None for - every eligible edge; tunnels a Tunnels (T2; checked when a policy is built with it: the count in - [1, 10000], and `Global support and tunnels are mutually exclusive`) or None; prefer_headroom - (T2 only; True without tunnels raises `prefer_headroom requires tunnels` when a policy is built - with it): the headroom penalty as T2's objective after route cost + CentralizedTE(*, source_allocation, support=None, tunnel_count=None, prefer_headroom=False): + source_allocation is required (EQUAL or OPTIMIZED; None or a missing argument raises TypeError); + support a PredecessorDAG of the policy's graph (checked when a policy is built with it: `support + belongs to another graph`) or None for every eligible edge; tunnel_count a TunnelCount (T2; + the count in [1, 10000] is checked when a policy is built with it) or None; prefer_headroom (T2 + only; True without tunnel_count raises `prefer_headroom requires tunnel_count` when a policy is + built with it): the headroom penalty as T2's objective after route cost """ def __repr__(self) -> str: ... @@ -1292,15 +1328,21 @@ class Global: """ @property - def support(self) -> PredDAG | None: + def source_allocation(self) -> SourceAllocation: + """ + the SourceAllocation: EQUAL or OPTIMIZED + """ + + @property + def support(self) -> PredecessorDAG | None: """ - the supplied support (a PredDAG), or None + the supplied support (a PredecessorDAG), or None """ @property - def tunnels(self) -> Tunnels | None: + def tunnel_count(self) -> TunnelCount | None: """ - T2's tunnel count per head (a Tunnels), or None + T2's tunnel count per head (a TunnelCount), or None """ class Pinned: @@ -1337,37 +1379,23 @@ class Pinned: class FlowPolicyConfig: """ - One demand's settings: routing (CostOnly, CapacityAware (T1), Global, Global(tunnels=...) (T2) or - Pinned), placement (FlowPlacement: required for CostOnly; the other models take none), admission - (LOSSLESS by default; LOSSY for CostOnly EQUAL_BALANCED and WEIGHTED, T1, T2 and Pinned), selection - (PathSelection; None: PathSelection(); Global, T2 included, and Pinned take none; T1 reads tie_break, - priority and multi_edge and rejects multipath=True), origin (Origin; None: the model's default, EQUAL for CostOnly EQUAL_BALANCED and WEIGHTED, T1 and T2, - OPTIMIZED for CostOnly MAX_FLOW and Global; T2 takes OPTIMIZED with one input source only, the same - calculation; Pinned takes none, its program has it), weights (WeightBasis, CostOnly WEIGHTED only; - None: CAPACITY) and edge_weights (one integer per edge, given exactly when weights=EXPLICIT; one - array shared by every policy built from this configuration). A field that does not apply to the model must stay None. The combination is checked - when a policy or an evaluator uses the configuration (ValueError): the enumeration values, then the - model's row (Global: a selection first, then support and tunnels together, then prefer_headroom - without tunnels; T1: an up_to count; then placement, origin, - admission, selection, weights with edge_weights), then a DagCache (only CostOnly reads one), then - the tunnel models' parameters (the tunnel count in [1, 10000]; T1's max_path_cost and - min_unreserved_bandwidth), then edge_weights' length and entries, then the roster and count rules - (CostOnly with several input sources rejects multipath=False with PREFER_HIGHER_PRIORITY; T2 with - several input sources rejects OPTIMIZED; roster heads times the tunnel count at most 2^30 - 1). + One demand's settings: the routing model, which holds every option it reads (ShortestPaths, + DistributedTE (T1), CentralizedTE, CentralizedTE(tunnel_count=...) (T2) or Pinned), and the admission + (LOSSLESS by default; LOSSY for ShortestPaths EQUAL and WEIGHTED, T1, T2 and Pinned). The + combination is checked when a policy or an evaluator uses the configuration (ValueError), in + this order: the enumeration values; the model matrix (route and source allocation, admission, + the ineffective tie rule, the pooled single-path rule, prefer_headroom, the weight combinations, + and last a ShortestPathCache on a model that does not read it); the tunnel count, an up_to count + for DistributedTE, the ceilings, min_unreserved_bandwidth and edge_weights' length and entries; + the tunnel limit (roster heads times the tunnel count at most 2^30 - 1); a Pinned program's + endpoints. """ def __init__( self, *, - routing: CostOnly | CapacityAware | Global | Pinned, - placement: FlowPlacement | None = None, + routing: ShortestPaths | DistributedTE | CentralizedTE | Pinned, admission: Admission = ..., - selection: PathSelection | None = None, - origin: Origin | None = None, - weights: WeightBasis | None = None, - edge_weights: collections.abc.Sequence[typing.SupportsIndex] - | numpy.typing.NDArray[numpy.integer] - | None = None, ) -> None: ... def __repr__(self) -> str: ... @property @@ -1377,49 +1405,19 @@ class FlowPolicyConfig: """ @property - def edge_weights(self) -> tuple[int, ...] | None: - """ - the explicit weights (one per edge, a tuple), or None - """ - - @property - def origin(self) -> Origin | None: + def routing(self) -> ShortestPaths | DistributedTE | CentralizedTE | Pinned: """ - the Origin, or None (a policy's config: the model's default resolved; Pinned: None) - """ - - @property - def placement(self) -> FlowPlacement | None: - """ - the FlowPlacement, or None (Global, Pinned) - """ - - @property - def routing(self) -> CostOnly | CapacityAware | Global | Pinned: - """ - the routing mode: CostOnly, CapacityAware, Global or Pinned - """ - - @property - def selection(self) -> PathSelection | None: - """ - the PathSelection, or None (a policy's config: PathSelection() resolved; Global, Pinned: None) - """ - - @property - def weights(self) -> WeightBasis | None: - """ - the WeightBasis, or None (a policy's config: CAPACITY resolved for CostOnly WEIGHTED) + the routing model: ShortestPaths, DistributedTE, CentralizedTE or Pinned """ class OutputOptions: """ Optional outputs of a placement (all false by default; absent outputs are None): edge_flows (the policy's own allocation per edge after the call), residual and - bottleneck (the ledger's after the call), reservation_edge_flows (the policy's own strict - holds per edge after the call; zeros for a model without holds), and min_cut (Global with - the optimized origin, when its solve reached the maximum flow; None for every other - model, origin or call). + saturated_boundary_edges (the ledger's after the call), edge_reservations (the policy's own + strict holds per edge after the call; zeros for a model without holds), and min_cut (CentralizedTE with + the optimized source allocation, when its solve reached the maximum flow; None for every other + model, source allocation or call). """ def __init__( @@ -1427,20 +1425,20 @@ class OutputOptions: *, edge_flows: bool = False, residual: bool = False, - bottleneck: bool = False, - reservation_edge_flows: bool = False, + saturated_boundary_edges: bool = False, + edge_reservations: bool = False, min_cut: bool = False, ) -> None: ... @property - def bottleneck(self) -> bool: + def edge_flows(self) -> bool: """ - request PlacementResult.bottleneck + request PlacementResult.edge_flows """ @property - def edge_flows(self) -> bool: + def edge_reservations(self) -> bool: """ - request PlacementResult.edge_flows + request PlacementResult.edge_reservations """ @property @@ -1450,15 +1448,15 @@ class OutputOptions: """ @property - def reservation_edge_flows(self) -> bool: + def residual(self) -> bool: """ - request PlacementResult.reservation_edge_flows + request PlacementResult.residual """ @property - def residual(self) -> bool: + def saturated_boundary_edges(self) -> bool: """ - request PlacementResult.residual + request PlacementResult.saturated_boundary_edges """ class Termination: @@ -1517,9 +1515,9 @@ class SourceFlow: """ One normalized input source's forwarding in the epoch (read-only; zero rows included: a masked or unreachable source): source, offered (LOSSY: its injections; None when - LOSSLESS), admitted (LOSSLESS: what it delivers; LOSSY: offered), delivered, source_loss - (offered units lost at the source for lack of a usable route) and dropped (its losses on - links). LOSSY: offered = delivered + source_loss + dropped. Exact ints. + LOSSLESS), admitted (LOSSLESS: what it delivers; LOSSY: offered), delivered, source_drops + (offered units lost at the source for lack of a usable route) and total_edge_drops (its losses + on links). LOSSY: offered = delivered + source_drops + total_edge_drops. Exact ints. """ def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... @@ -1536,12 +1534,6 @@ class SourceFlow: the units it delivers to the destinations """ - @property - def dropped(self) -> int: - """ - LOSSY: its units dropped on links; 0 when LOSSLESS - """ - @property def offered(self) -> int | None: """ @@ -1555,18 +1547,25 @@ class SourceFlow: """ @property - def source_loss(self) -> int: + def source_drops(self) -> int: """ LOSSY: its offered units lost at the source (no usable route); 0 when LOSSLESS """ + @property + def total_edge_drops(self) -> int: + """ + LOSSY: its units dropped on links; 0 when LOSSLESS + """ + class TunnelFlow: """ - One program tunnel's forwarding in the epoch (read-only): index (its entry identifier) and - head, status (TunnelStatus: UP; NO_BANDWIDTH or COST_CEILING for a tunnel T1's setup left - down; FAILED, BLACKHOLED in this forwarding), assigned (its share of the injections: LOSSY the - shares sent to it, LOSSLESS what it carries), delivered and dropped (its losses on links). - Exact ints (assigned and dropped may exceed 64 bits). + One program tunnel's forwarding in the epoch (read-only): entry_id (its entry identifier) and + head, status (TunnelStatus: UP; INSUFFICIENT_BANDWIDTH or COST_CEILING_EXCEEDED for a tunnel + T1's setup left down; FAILED, BLACKHOLED in this forwarding), assigned (its share of the + injections: LOSSY the shares sent to it, LOSSLESS what it carries), delivered and + total_edge_drops (its losses on links). Exact ints (assigned and total_edge_drops may exceed 64 + bits). """ def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... @@ -1584,9 +1583,9 @@ class TunnelFlow: """ @property - def dropped(self) -> int: + def entry_id(self) -> int: """ - its units dropped on links + the tunnel's entry identifier """ @property @@ -1596,43 +1595,38 @@ class TunnelFlow: """ @property - def index(self) -> int: + def status(self) -> TunnelStatus: """ - the tunnel's entry identifier + UP, a down tunnel's setup status (INSUFFICIENT_BANDWIDTH, COST_CEILING_EXCEEDED), FAILED or + BLACKHOLED in this forwarding """ @property - def status(self) -> TunnelStatus: + def total_edge_drops(self) -> int: """ - UP, a down tunnel's setup status (NO_BANDWIDTH, COST_CEILING), FAILED or BLACKHOLED in this - forwarding + its units dropped on links """ class TunnelPlan: """ - The tunnel models' setup summary (read-only): count (the tunnels per head; T2 up to: the - chosen count), design_demand (the design volume D in units), head_design ((head, RR(D, H, i)) - for every roster head in ascending NodeId) and reserved_total (T1's strict holds, counted once - per up tunnel: the sum of their requests; 0 for T2). T2 only (None for T1): live_heads, + The tunnel models' setup summary (read-only): tunnels_per_head (T2 up to: the chosen count), + design_demand (the design volume D in units), design_by_head ((head, RR(D, H, i)) for every + roster head in ascending NodeId) and total_reserved_bandwidth (T1's strict holds, counted once + per up tunnel: the sum of their requests; 0 for T2). T2 only (None for T1): heads_with_capacity, insufficient_resolution (live heads exist but no whole unit per tunnel fits, U == 0: the - program has no tunnels), fluid_share (the exact fluid optimum s*, a Fraction), common_share - (U), planned_per_tunnel (u), planned_total (K*u), route_cost (the route-cost sum, can exceed - 2^64), headroom_penalty (with prefer_headroom only) and forwarding_bound (the program's - lossless maximum; a dead head's share blocks it). Exact ints. + program has no tunnels), max_fractional_bandwidth_per_tunnel (the exact fluid optimum s*, a + Fraction), max_bandwidth_per_tunnel (U), planned_bandwidth_per_tunnel (u), + total_planned_bandwidth (K*u), total_tunnel_cost (the route-cost sum, can exceed 2^64), + headroom_penalty (with prefer_headroom only) and max_lossless_offer (the program's lossless + maximum; a dead head's share blocks it). Exact ints. """ def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... def __repr__(self) -> str: ... @property - def common_share(self) -> int | None: - """ - T2: U, the largest common whole-unit size - """ - - @property - def count(self) -> int: + def design_by_head(self) -> tuple[tuple[int, int], ...]: """ - the tunnels per head (T2 up to: the chosen count) + ((head, share), ...): every roster head's share RR(D, H, i), ascending NodeId """ @property @@ -1642,83 +1636,92 @@ class TunnelPlan: """ @property - def fluid_share(self) -> fractions.Fraction | None: + def headroom_penalty(self) -> int | None: """ - T2: the exact fluid optimum s* (a fractions.Fraction; 0 without a live head); None for T1 + T2 with prefer_headroom: the sum over the links' tunnel slots j of floor(2^32 (B - V + j*u) / B) + (B: static capacity; V: free capacity); None without prefer_headroom and for T1 """ @property - def forwarding_bound(self) -> int | None: + def heads_with_capacity(self) -> tuple[int, ...] | None: """ - T2: F, the program's lossless maximum on the call's view (a dead head's share blocks it) + T2: the heads that reach a destination over links with free capacity >= 1 (ascending); None for T1 """ @property - def head_design(self) -> tuple[tuple[int, int], ...]: + def insufficient_resolution(self) -> bool | None: """ - ((head, share), ...): every roster head's share RR(D, H, i), ascending NodeId + T2: True when live heads exist but no whole unit per tunnel fits (max_bandwidth_per_tunnel 0, + no tunnels) """ @property - def headroom_penalty(self) -> int | None: + def max_bandwidth_per_tunnel(self) -> int | None: """ - T2 with prefer_headroom: the sum over the links' tunnel slots j of floor(2^32 (B - V + j*u) / B) - (B: static capacity; V: free capacity); None without prefer_headroom and for T1 + T2: U, the largest common whole-unit size """ @property - def insufficient_resolution(self) -> bool | None: + def max_fractional_bandwidth_per_tunnel(self) -> fractions.Fraction | None: """ - T2: True when live heads exist but no whole unit per tunnel fits (common_share 0, no tunnels) + T2: the exact fluid optimum s* (a fractions.Fraction; 0 without a live head); None for T1 """ @property - def live_heads(self) -> tuple[int, ...] | None: + def max_lossless_offer(self) -> int | None: """ - T2: the heads that reach a destination over links with free capacity >= 1 (ascending); None for T1 + T2: F, the program's lossless maximum on the call's view (a dead head's share blocks it) """ @property - def planned_per_tunnel(self) -> int | None: + def planned_bandwidth_per_tunnel(self) -> int | None: """ T2: u, every tunnel's planned bandwidth """ @property - def planned_total(self) -> int | None: + def total_planned_bandwidth(self) -> int | None: """ T2: K*u over the K tunnels """ @property - def reserved_total(self) -> int: + def total_reserved_bandwidth(self) -> int: """ the strict holds of the up tunnels, each tunnel's request counted once """ @property - def route_cost(self) -> int | None: + def total_tunnel_cost(self) -> int | None: """ T2: the sum of cost * tunnel count over the links (exact; can exceed 2^64) """ + @property + def tunnels_per_head(self) -> int: + """ + the tunnels per head (T2 up to: the chosen count) + """ + class PlacementResult: """ - The result of one call. This call: placed (units delivered by the call; replace, forward and - evaluate: the full new delivery), remaining (request - placed; float('inf') for an infinite - request), delivery_delta (new minus old delivery, may be negative), call_drops [(EdgeId, units)], - call_source_loss, termination, routes_changed, weights_changed and reservations_changed. The + The result of one call. This call: call_delivered (units delivered by the call; replace, forward + and evaluate: the full new delivery), call_undelivered (request - call_delivered; float('inf') for + an infinite request), delivery_delta (new minus old delivery, may be negative), call_edge_drops + [(EdgeId, units)], call_source_drops, termination, routes_changed, weights_changed and + reservations_changed. The demand's state after the call (totals of the epoch): program (the installed ForwardingProgram; evaluate: the computed one; None before the first preparation), plan (a TunnelPlan for T1 and T2; None for every other model), requested (float('inf') after an infinite request), offered (LOSSY: the traffic sent; None when LOSSLESS), admitted, delivered, unadmitted - (LOSSLESS: requested - delivered, None after an infinite request; LOSSY: 0), source_loss, drops - [(EdgeId, units)], by_source (one SourceFlow per normalized input source, ascending NodeId), - by_tunnel (one TunnelFlow per program tunnel, ascending index; an alternative view, never added to - by_source), total_cost (controllers: Global and CostOnly MAX_FLOW; else None) and cost_distribution - (unrestricted Global with the optimized origin only). LOSSY: offered = source_loss + sum(drops) + - delivered. The rows sum to the totals, except for LOSSY with an empty roster, where the whole offer - is the demand's source loss and every row is zero. Optional outputs, None unless requested: - edge_flows, residual and reservation_edge_flows (int64[E]), bottleneck, min_cut (they describe the same + (LOSSLESS: requested - delivered, None after an infinite request; LOSSY: 0), source_drops, + edge_drops [(EdgeId, units)], by_source (one SourceFlow per normalized input source, ascending + NodeId), by_tunnel (one TunnelFlow per program tunnel, ascending entry_id; an alternative view, never + added to by_source), total_cost (controllers: CentralizedTE and ShortestPaths OPTIMIZED; else None) + and marginal_cost_curve (unrestricted CentralizedTE with the optimized source allocation only). + LOSSY: offered = source_drops + sum(edge_drops) + delivered. The rows sum to the totals, except for + LOSSY with an empty roster, where the whole offer is the demand's source drops and every row is + zero. Optional outputs, None unless requested: edge_flows, residual and edge_reservations + (int64[E]), saturated_boundary_edges, min_cut (they describe the same state; evaluate: the evaluated one). Amounts that accumulate are exact ints (they may exceed 64 bits). """ @@ -1730,13 +1733,6 @@ class PlacementResult: LOSSLESS: the total carried; LOSSY: offered """ - @property - def bottleneck(self) -> list[int] | None: - """ - if requested: the ledger's saturation report after the call (FlowLedger.bottleneck of the - policy's sources and Eligibility), else None - """ - @property def by_source(self) -> tuple[SourceFlow, ...]: """ @@ -1750,25 +1746,28 @@ class PlacementResult: """ @property - def call_drops(self) -> list[tuple[int, int]]: + def call_delivered(self) -> int: + """ + the units placed (delivered) by this call + """ + + @property + def call_edge_drops(self) -> list[tuple[int, int]]: """ this call's drops on links [(EdgeId, units)], ascending EdgeId (empty unless LOSSY) """ @property - def call_source_loss(self) -> int: + def call_source_drops(self) -> int: """ this call's offered units lost at sources without a usable route (LOSSY) """ @property - def cost_distribution(self) -> list[tuple[int, int]] | None: + def call_undelivered(self) -> int | float: """ - unrestricted Global with the optimized origin: the marginal cost curve [(cost, units)] of the policy's - cumulative flow (a zero call reports it unchanged; None before the epoch's first positive - call); in ascending cost, delivering `units` more raised the minimum total flow cost by `cost` - per unit (more delivery can reroute earlier flow, so these are not the costs of the final - paths). None for the other models and the equal origin + the request minus call_delivered, in units (an amount, not a status); float('inf') for an infinite + request """ @property @@ -1780,12 +1779,12 @@ class PlacementResult: @property def delivery_delta(self) -> int: """ - the delivery after the call minus before it (placed for a placement; may be negative for a - full-offer call) + the delivery after the call minus before it (call_delivered for a placement; may be negative + for a full-offer call) """ @property - def drops(self) -> list[tuple[int, int]]: + def edge_drops(self) -> list[tuple[int, int]]: """ the epoch's drops on links [(EdgeId, units)], ascending EdgeId (empty unless LOSSY) """ @@ -1797,14 +1796,31 @@ class PlacementResult: else None """ + @property + def edge_reservations(self) -> numpy.typing.NDArray[numpy.int64] | None: + """ + if requested: the policy's own strict holds per edge after the call (int64[E], EdgeId order; zeros + for a model without holds), else None + """ + + @property + def marginal_cost_curve(self) -> list[tuple[int, int]] | None: + """ + unrestricted CentralizedTE with the optimized source allocation: the marginal cost curve [(cost, units)] of the policy's + cumulative flow (a zero call reports it unchanged; None before the epoch's first positive + call); in ascending cost, delivering `units` more raised the minimum total flow cost by `cost` + per unit (more delivery can reroute earlier flow, so these are not the costs of the final + paths). None for the other models and the equal source allocation + """ + @property def min_cut(self) -> list[int] | None: """ - if requested (OutputOptions(min_cut=True)), unrestricted Global with the optimized origin, when the solve + if requested (OutputOptions(min_cut=True)), unrestricted CentralizedTE with the optimized source allocation, when the solve reached the maximum flow: the minimum cut closest to the sources, every allowed edge leaving the nodes the roster sources reach in the residual network (free capacity plus the policy's own allocation), an edge with nothing free (capacity 0, or held by others) included, - ascending EdgeId; [] for an empty roster. None otherwise (another model, the equal origin, a + ascending EdgeId; [] for an empty roster. None otherwise (another model, the equal source allocation, a support, a call below the maximum, a zero call, forward) """ @@ -1815,12 +1831,6 @@ class PlacementResult: when LOSSLESS """ - @property - def placed(self) -> int: - """ - the units placed (delivered) by this call - """ - @property def plan(self) -> TunnelPlan | None: """ @@ -1835,25 +1845,12 @@ class PlacementResult: preparation """ - @property - def remaining(self) -> int | float: - """ - the request minus placed, in units (an amount, not a status); float('inf') for an infinite request - """ - @property def requested(self) -> int | float: """ the sum of the epoch's requests; float('inf') after an infinite one """ - @property - def reservation_edge_flows(self) -> numpy.typing.NDArray[numpy.int64] | None: - """ - if requested: the policy's own strict holds per edge after the call (int64[E], EdgeId order; zeros - for a model without holds), else None - """ - @property def reservations_changed(self) -> bool: """ @@ -1872,12 +1869,19 @@ class PlacementResult: """ True when the call's program differs from the installed one in its ordered heads, paths, split tables or duplicates (no program counts as the empty program; two programs without an entry - are equal). An offer-only change (forward, Pinned, CostOnly increments) and an identical + are equal). An offer-only change (forward, Pinned, ShortestPaths increments) and an identical replace set nothing """ @property - def source_loss(self) -> int: + def saturated_boundary_edges(self) -> list[int] | None: + """ + if requested: the ledger's saturation report after the call + (FlowLedger.saturated_boundary_edges of the policy's sources and Eligibility), else None + """ + + @property + def source_drops(self) -> int: """ LOSSY: the offered units lost at sources (no usable route, or an empty roster); 0 when LOSSLESS """ @@ -1891,7 +1895,7 @@ class PlacementResult: @property def total_cost(self) -> int | None: """ - controllers (Global, CostOnly MAX_FLOW): the exact sum of cost * flow over the policy's + controllers (CentralizedTE, ShortestPaths OPTIMIZED): the exact sum of cost * flow over the policy's allocation; None for the other models (T1, T2, Pinned) """ @@ -1909,9 +1913,9 @@ class PlacementResult: absent entry weighs 0) """ -class DagCacheStats: +class ShortestPathCacheStats: """ - DagCache statistics (atomic per field, not a consistent snapshot): hits, misses, + ShortestPathCache statistics (atomic per field, not a consistent snapshot): hits, misses, entries, bytes (the entries' retained payload), live_values (values alive anywhere). """ @@ -1943,30 +1947,30 @@ class DagCacheStats: @property def misses(self) -> int: """ - lookups without an entry: a building cache searched, a frozen one raised DagCacheMiss + lookups without an entry: a building cache searched, a frozen one raised ShortestPathCacheMiss """ -class DagCacheMiss(Exception): +class ShortestPathCacheMiss(Exception): """ - A lookup in a frozen DagCache whose key is absent: a dedicated exception (not a + A lookup in a frozen ShortestPathCache whose key is absent: a dedicated exception (not a RuntimeError or ValueError); the evaluators propagate it unchanged. """ -class DagCache: +class ShortestPathCache: """ A cache of static shortest-path DAGs (from costs and the Eligibility only) for one graph, keyed by (the root set, the direction, the Eligibility uid). It stores the full DAG and applies each - caller's selection afterwards, so the selection is never cached. CostOnly policies and the + caller's route choice afterwards, so the route choice is never cached. ShortestPaths policies and the evaluators read it. Building mode (a new cache): one writer, no concurrent readers; a miss searches and inserts; clear() empties it (the hit and miss counters persist), and values already handed out stay valid. Frozen mode (freeze()): read-only and shareable by every worker; a miss counts one miss and raises - DagCacheMiss; clear() raises ValueError; thaw() returns to building once the caller has joined + ShortestPathCacheMiss; clear() raises ValueError; thaw() returns to building once the caller has joined every reader. When a public call fails: a building cache passed to it keeps the complete entries and statistics of the lookups that succeeded before the failure (never a partial entry; a kept entry never changes a result); a frozen cache's statistics stay unchanged, except one miss when the call - raised DagCacheMiss. A frozen cache counts its hits only when the call succeeds, Python result + raised ShortestPathCacheMiss. A frozen cache counts its hits only when the call succeeds, Python result included. """ @@ -1990,9 +1994,9 @@ class DagCache: uid of the graph this cache is bound to """ - def stats(self) -> DagCacheStats: + def stats(self) -> ShortestPathCacheStats: """ - the current DagCacheStats (each field read atomically) + the current ShortestPathCacheStats (each field read atomically) """ def thaw(self) -> None: @@ -2011,7 +2015,7 @@ class FlowPolicy: FlowLedger.reset(). sources and destinations are one NodeId or a sequence; the two sets must not overlap. ValueError for invalid endpoints, configurations and requests (non-integer node ids and requests included) and for objects of another graph, ledger or policy; TypeError for a ledger, - config, elig, cache or outputs of the wrong class (a ledger of None: ValueError) and for an + config, eligibility, cache or outputs of the wrong class (a ledger of None: ValueError) and for an unknown keyword. """ @@ -2025,25 +2029,30 @@ class FlowPolicy: | collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer], config: FlowPolicyConfig, - elig: Eligibility | None = None, - cache: DagCache | None = None, + eligibility: Eligibility | None = None, + cache: ShortestPathCache | None = None, ) -> None: """ - Bind a policy to ledger. elig (None: everything allowed) and cache (None: none; only CostOnly + Bind a policy to ledger. eligibility (None: everything allowed) and cache (None: none; only ShortestPaths routing reads it, another model rejects it) belong to the ledger's graph; the policy keeps the - ledger, elig and cache alive (a Pinned policy shares its program and black holes). The roster + ledger, eligibility and cache alive (a Pinned policy shares its program and black holes). The roster (the sources that statically reach an allowed destination, over allowed edges whatever their capacity, the tunnel models' heads; Pinned: the program's heads that reach an allowed destination over its basis - under elig) is fixed here. Everything is validated before the policy binds, in this order: the endpoints, the - graph of elig, the program, the support, the cache and the black holes (`foreign Eligibility: + under eligibility) is fixed here. Everything is validated before the policy binds, in this order: the endpoints, the + graph of eligibility, the program, the support, the cache and the black holes (`foreign Eligibility: built for another graph`, `program belongs to another graph`, `support belongs to another graph`, - `foreign DagCache: bound to another graph`, `black_holes belongs to another graph`), the - configuration (FlowPolicyConfig's order), then the pooled single-path rule, T2's several-sources - rule (`T2 with several sources requires origin=EQUAL`), the tunnel limit (`tunnel limit exceeded: + `foreign ShortestPathCache: bound to another graph`, `black_holes belongs to another graph`), the + configuration (FlowPolicyConfig's order, the pooled single-path rule and T2's several-sources rule + included), the tunnel limit (`tunnel limit exceeded: heads x tunnels > 1073741823`) and a Pinned program's endpoints (`program endpoints do not match policy endpoints`). """ + def delivered(self) -> int: + """ + the sum of delivered over the policy's live records + """ + def evaluate( self, offer: typing.SupportsIndex | float | numpy.floating, @@ -2070,7 +2079,7 @@ class FlowPolicy: """ Forward a full new offer over the installed program, with no route computation and no setup, on the released view -> PlacementResult; a new epoch like replace, the program, its plan and T1's holds - kept (no flag; T1's records are recreated with the same reserved_edges). LOSSLESS admits the + kept (no flag; T1's records are recreated with the same edge_reservations). LOSSLESS admits the program's lossless bound up to the offer; LOSSY sends the offer. black_holes (an Eligibility of the graph): the nodes and edges it excludes are black holes for this call (stale forwarding: traffic reaching one is dropped there; a black-holed source loses its share). In this order: Pinned raises @@ -2081,34 +2090,30 @@ class FlowPolicy: def place( self, - volume: typing.SupportsIndex | float | numpy.floating, + offer: typing.SupportsIndex | float | numpy.floating, outputs: OutputOptions | None = None, ) -> PlacementResult: """ - Place volume (int units in [0, 2^62), or float('inf')) all or nothing -> PlacementResult. T1 and T2 - raise ` does not support incremental placement` (also for 0). + Place offer (int units in [0, 2^62), or float('inf')) all or nothing -> PlacementResult. T1 and T2 + raise ` does not support incremental placement` + (also for 0). Requests add up within an epoch (from construction, the last remove(), replace() or forward()); after float('inf') any finite request is rejected, 0 included. A request of 0 places nothing and - reports the current state. CostOnly prepares its program at the epoch's first positive request; - LOSSLESS admits the largest total in [admitted, admitted + volume] that the program carries with no + reports the current state. ShortestPaths prepares its program at the epoch's first positive request; + LOSSLESS admits the largest total in [admitted, admitted + offer] that the program carries with no loss (a refused unit is not offered again); LOSSY forwards the new round-robin (or captured-weight) injections, each head splitting its increment afresh (earlier drops are not offered again); a - controller re-solves admitted + volume. A LOSSY float('inf') is CostOnly's first-hop experiment; + controller re-solves admitted + offer. A LOSSY float('inf') is ShortestPaths's first-hop experiment; Pinned raises `LOSSY forwarding requires a finite offer`. outputs (OutputOptions; None: none) - requests edge_flows, residual, bottleneck, reservation_edge_flows and min_cut. Everything is + requests edge_flows, residual, saturated_boundary_edges, edge_reservations and min_cut. Everything is validated before any change; a - failed call raises with the ledger and the policy unchanged. A solve of the flow core (Global, - CostOnly MAX_FLOW, or a MAX_FLOW flow) on a network beyond its int32 numbering raises ValueError: + failed call raises with the ledger and the policy unchanged. A solve of the flow core (CentralizedTE + or ShortestPaths OPTIMIZED) on a network beyond its int32 numbering raises ValueError: more than INT32_MAX - 2 nodes, or more than 2^30 - 1 edges, sources and destinations together. A LOSSY forwarding whose losses wait on each other in a cycle raises ValueError when its rounds alternate between two states or reach the round limit, RuntimeError when the result's check fails. """ - def placed_demand(self) -> int: - """ - the sum of delivered over the policy's live records - """ - def record( self, flow_id: tuple[typing.SupportsIndex, typing.SupportsIndex] ) -> FlowRecord: @@ -2137,11 +2142,11 @@ class FlowPolicy: """ Recompute from the policy's own released view and forward the full offer, published atomically -> PlacementResult: the old records and holds are retired (their ids never live again), new ones - created, and a new epoch starts at this offer (delivery may go down: delivery_delta). CostOnly + created, and a new epoch starts at this offer (delivery may go down: delivery_delta). ShortestPaths prepares its routes again; a controller re-solves; T1 sets its tunnels up again for the design and books their holds; T2 lays its tunnels out again for the design (planned bandwidth, never held); Pinned forwards its program. design_demand (T1 and T2: int units, or float('inf'); None: equal to - the offer): T1 needs a finite design (`T1 requires a finite design demand`), T2 takes an unlimited + the offer): T1 needs a finite design (`DistributedTE requires a finite design demand`), T2 takes an unlimited one (its largest common size); every other model raises ` does not accept design_demand`. In this order: the offer, LOSSY's finite offer, then the design demand (the model, its domain, finiteness). @@ -2150,8 +2155,8 @@ class FlowPolicy: @property def config(self) -> FlowPolicyConfig: """ - the configuration as validated at construction, its absent origin and selection - resolved to the model's defaults + the configuration as validated at construction, ShortestPaths' absent + source_allocation and weight_basis resolved to the allocation's defaults """ @property @@ -2160,83 +2165,87 @@ class FlowPolicy: the installed ForwardingProgram; None before the first preparation and after remove() """ -class QueryOptions: +class EvaluationOptions: """ - The options of every evaluator (capacity, batch_capacity, sensitivity): the configuration, - the static Eligibility (None: all allowed), the DagCache (None: private per worker), the - optional outputs of each result (sensitivity: of its baseline), design_demand (int units or - float('inf'); None: absent): T1's design, always required and finite (`T1 capacity requires - design_demand`, `T1 requires a finite design demand`); T2's design (None: unlimited when - LOSSLESS, the offered amount when LOSSY); rejected by every other model (` does not - accept design_demand`); and offered (int units or float('inf'); None: absent), the offer of a - T1, T2 or Pinned LOSSY evaluation: required and finite there (` LOSSY - capacity requires finite offered`; T2 takes a finite design instead when offered is None); a - LOSSLESS model rejects it (` LOSSLESS capacity does not accept offered`), CostOnly LOSSY - too (`CostOnly LOSSY capacity uses first-hop injection`). + The options of every evaluator (evaluate_demand, evaluate_pairs, evaluate_edge_failures): config + (the configuration), eligibility (the static Eligibility; None: all allowed), cache (the + ShortestPathCache; None: private per worker), outputs (the optional outputs of each result; + evaluate_edge_failures: of its baseline), design_demand and + offer (int units or a float, kept as given; another type raises TypeError). offer: a finite offer + for every model (None: the uncapped LOSSLESS question, or for ShortestPaths EQUAL/WEIGHTED with + LOSSY the first-hop experiment; required for DistributedTE, Pinned and, without a finite design, + CentralizedTE with tunnel_count under LOSSY). design_demand: DistributedTE always, required and + finite; CentralizedTE with tunnel_count: None means the offer when it is finite, else unlimited; + every other model leaves it None. The evaluators check both after the configuration, in this order: + an explicit offer (`offer must be an integer in [0, 2^62)`, +inf included), the design + (` does not accept design_demand`, `design_demand must be an integer in [0, 2^62) or + permitted +inf`, `DistributedTE requires a finite design demand`), DistributedTE's missing design + (`DistributedTE evaluation requires design_demand`), the missing LOSSY offer (` LOSSY evaluation requires a finite offer`). """ def __init__( self, config: FlowPolicyConfig, *, - elig: Eligibility | None = None, - cache: DagCache | None = None, + eligibility: Eligibility | None = None, + cache: ShortestPathCache | None = None, outputs: OutputOptions | None = None, design_demand: typing.SupportsIndex | float | numpy.floating | None = None, - offered: typing.SupportsIndex | float | numpy.floating | None = None, + offer: typing.SupportsIndex | float | numpy.floating | None = None, ) -> None: ... @property - def cache(self) -> DagCache | None: + def cache(self) -> ShortestPathCache | None: """ - the supplied DagCache; None: a private cache per worker + the supplied ShortestPathCache; None: a private cache per worker """ @property def config(self) -> FlowPolicyConfig: """ - the FlowPolicyConfig of every evaluated policy (sensitivity: the baseline and every deletion) + the FlowPolicyConfig of every evaluated policy (evaluate_edge_failures: the baseline and every deletion) """ @property def design_demand(self) -> int | float | None: """ - the tunnel models' design volume (int units, or float('inf')); None: absent + the tunnel models' design volume as given (int units or a float); None: absent """ @property - def elig(self) -> Eligibility | None: + def eligibility(self) -> Eligibility | None: """ the static Eligibility; None: everything allowed """ @property - def offered(self) -> int | float | None: + def offer(self) -> int | float | None: """ - the offer of a T1, T2 or Pinned LOSSY evaluation (int units, or float('inf')); None: absent + the offer as given (int units or a float); None: absent """ @property def outputs(self) -> OutputOptions: """ - the OutputOptions of every result (sensitivity: of the baseline) + the OutputOptions of every result (evaluate_edge_failures: of the baseline) """ class SensitivityEntry: """ - One candidate edge: edge and loss (int units: the baseline minus the capacity without the - edge). + One candidate edge: edge and delivery_reduction (int units: the baseline's delivery minus the + delivery without the edge; signed). """ def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... @property - def edge(self) -> int: ... + def delivery_reduction(self) -> int: ... @property - def loss(self) -> int: ... + def edge(self) -> int: ... class SensitivityResult: """ - baseline (the PlacementResult of capacity()) and entries (ascending EdgeId; an - absent edge has loss 0). + baseline (the PlacementResult of evaluate_demand()) and entries (ascending EdgeId; an + absent edge has reduction 0). """ def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... @@ -2247,29 +2256,38 @@ class SensitivityResult: class KspOptions: """ - The options of ksp: k (>= 1) and selection are explicit (multi_edge = True lists each parallel - edge as a separate path, False keeps one per (u, v) pair as EdgeTieBreak describes; multipath is - ignored); max_path_cost (None, Absolute(c) with c >= 0, or Stretch(f) with f finite in [1, inf) - times the static shortest cost under the Eligibility, residual ignored; inclusive); residual - (int64 units per EdgeId, each in [0, capacity_units]: edges with less than 1 unit are skipped, and - the values feed the priority; it is the only capacity filter, and without it an edge of capacity 0 - is searched like any other); elig (None: everything allowed). The fields are validated by ksp, - in the order its docstring gives. + The options of ksp: k (>= 1); tie_break (RouteTieBreak) orders paths of equal cost; + parallel_edges = True lists each parallel edge as a separate path, False keeps one per (u, v) + pair by the tie rule (no multipath field: k sets the number of paths); cost_ceiling (None, + AbsoluteCost(c) with c >= 0, or CostStretch(n/d) with n/d >= 1 times the static shortest + cost under the eligibility, compared exactly, residual ignored; inclusive); residual (int64 units per + EdgeId, each in [0, edge_capacity_units]: edges with less than 1 unit are skipped, and the values + feed the availability; it is the only capacity filter, and without it an edge of capacity 0 is + searched like any other); eligibility (None: everything allowed). A parallel_edges that is not a + bool raises TypeError here; the other fields are validated by ksp, in the order its docstring + gives. """ def __init__( self, k: typing.SupportsIndex, - selection: PathSelection, *, - max_path_cost: Absolute | Stretch | None = None, + tie_break: RouteTieBreak = ..., + parallel_edges: bool = True, + cost_ceiling: AbsoluteCost | CostStretch | None = None, residual: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer] | None = None, - elig: Eligibility | None = None, + eligibility: Eligibility | None = None, ) -> None: ... @property - def elig(self) -> Eligibility | None: + def cost_ceiling(self) -> AbsoluteCost | CostStretch | None: + """ + the inclusive cost ceiling as given: None, AbsoluteCost or CostStretch (validated by ksp) + """ + + @property + def eligibility(self) -> Eligibility | None: """ the static Eligibility; None: everything allowed """ @@ -2281,9 +2299,9 @@ class KspOptions: """ @property - def max_path_cost(self) -> Absolute | Stretch | None: + def parallel_edges(self) -> bool: """ - the inclusive cost ceiling as given: None, Absolute or Stretch (validated by ksp) + True: each parallel edge a separate path; False: one per (u, v) pair by the tie rule """ @property @@ -2300,37 +2318,43 @@ class KspOptions: """ @property - def selection(self) -> PathSelection: + def tie_break(self) -> RouteTieBreak: """ - the PathSelection (multipath is ignored) + the RouteTieBreak of paths of equal cost """ class SpfOptions: """ - The options of spf: direction and selection are explicit; targets (one NodeId or a sequence; - None: a full search) stops the search at the nearest targets (anycast: any nearest target will - do); residual (int64 units per EdgeId, each in [0, capacity_units]) makes the search skip edges - with fewer than min_residual residual units (an integer >= 1; without a residual it has no - effect) and supplies the priority values: it is the only capacity filter, and without it an edge - of capacity 0 is searched like any other; elig (None: everything allowed). A direction outside its - enumeration raises ValueError here; the other fields are validated by spf, in the order its - docstring gives. + The options of spf: the direction; targets (one NodeId or a sequence; None: a full search) + stops the search at the nearest targets (anycast: any nearest target will do); tie_break + (RouteTieBreak) orders equal-cost choices; multipath (True: every equal-cost walk as a DAG, + False: the one canonical path, targets required); parallel_edges (True: every eligible parallel + edge, False: one per (u, v) pair by the tie rule); a HIGHER_* tie_break with multipath and + parallel_edges both True is rejected by spf; residual (int64 units per EdgeId, each in [0, + edge_capacity_units]) makes the search skip edges with fewer than min_residual residual units + (an integer >= 1; without a residual it has no effect) and supplies the availability: it is the + only capacity filter, and without it an edge of capacity 0 is searched like any other; + eligibility (None: everything allowed). A direction outside its enumeration raises ValueError + here, a multipath or parallel_edges that is not a bool TypeError; the other fields are validated + by spf, in the order its docstring gives. """ def __init__( self, direction: Direction, - selection: PathSelection, *, targets: typing.SupportsIndex | collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer] | None = None, + tie_break: RouteTieBreak = ..., + multipath: bool = True, + parallel_edges: bool = True, residual: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer] | None = None, min_residual: typing.SupportsIndex = 1, - elig: Eligibility | None = None, + eligibility: Eligibility | None = None, ) -> None: ... @property def direction(self) -> Direction: @@ -2339,7 +2363,7 @@ class SpfOptions: """ @property - def elig(self) -> Eligibility | None: + def eligibility(self) -> Eligibility | None: """ the static Eligibility; None: everything allowed """ @@ -2350,6 +2374,18 @@ class SpfOptions: the gating threshold in units as given (validated by spf: an integer >= 1) """ + @property + def multipath(self) -> bool: + """ + True: every equal-cost walk (a DAG); False: the canonical single path + """ + + @property + def parallel_edges(self) -> bool: + """ + True: every eligible parallel edge; False: one per (u, v) pair by the tie rule + """ + @property def residual( self, @@ -2363,12 +2399,6 @@ class SpfOptions: priorities read static capacity """ - @property - def selection(self) -> PathSelection: - """ - the PathSelection the search reads - """ - @property def targets( self, @@ -2382,11 +2412,17 @@ class SpfOptions: the targets as given (validated by spf); None: a full search """ + @property + def tie_break(self) -> RouteTieBreak: + """ + the RouteTieBreak of equal-cost choices + """ + class SpfResult: """ The result of spf: costs (full searches: a read-only int64 array, UNREACHABLE for the nodes not - reached; None with targets), dag (PredDAG of the tight edges, the edges on some shortest walk, - one per (u, v) pair with multi_edge = False, each in its own direction; with targets only the + reached; None with targets), dag (PredecessorDAG of the tight edges, the edges on some shortest walk, + one per (u, v) pair with parallel_edges = False, each in its own direction; with targets only the walks between the roots and a nearest target, for REVERSE from the target to a root; for multipath = False the canonical single path) and target_cost (with targets: the nearest targets' cost, None when no target is reached; None for a @@ -2403,9 +2439,9 @@ class SpfResult: """ @property - def dag(self) -> PredDAG: + def dag(self) -> PredecessorDAG: """ - the PredDAG of the result, in the edges' original orientation + the PredecessorDAG of the result, in the edges' original orientation """ @property @@ -2431,7 +2467,60 @@ def as_float( def as_float( x: typing.SupportsIndex, resolution: typing.SupportsFloat | typing.SupportsIndex ) -> float: ... -def batch_capacity( +def evaluate_demand( + graph: Graph, + sources: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + destinations: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + options: EvaluationOptions, +) -> PlacementResult: + """ + The evaluation of a fresh FlowPolicy with options.config on a fresh ledger of graph at options.offer + (None: +inf; DistributedTE and CentralizedTE with tunnel_count: evaluate(offer, design_demand=...)) + -> PlacementResult. LOSSLESS delivers up to a finite offer; LOSSY accounts for exactly that offer + (ShortestPaths EQUAL/WEIGHTED LOSSY without an offer: the first-hop experiment). The options are checked as + the EvaluationOptions docstring states. + The exact maximum flow is CentralizedTE(source_allocation=OPTIMIZED); with source_allocation=EQUAL, the largest + total whose round-robin source shares are all carried. A supplied frozen cache raises ShortestPathCacheMiss + for an absent key, unchanged. + A failed call raises; a supplied ShortestPathCache then behaves as the ShortestPathCache docstring states. + """ + +def evaluate_edge_failures( + graph: Graph, + sources: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + destinations: typing.SupportsIndex + | collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer], + options: EvaluationOptions, + workers: typing.SupportsIndex | None = None, +) -> SensitivityResult: + """ + The baseline evaluate_demand() and one SensitivityEntry per candidate edge. Candidates: with unrestricted + CentralizedTE and the optimized source allocation, the edges that carry flow in the baseline (removing any + other edge keeps the baseline feasible, at any offer); otherwise every allowed edge, whatever its capacity (an edge of capacity 0 + can carry a route, so deleting it can change the result, and with the equal source allocation a deletion that + removes a source from the roster can raise the total: a negative reduction). delivery_reduction = + baseline.call_delivered minus the call_delivered of evaluate_demand() without the edge, in signed + units, never thresholded. Two + shortcuts give exactly that value: unrestricted optimized CentralizedTE whose baseline is a maximum flow + (no offer, or an offer above what it delivers) repairs a copy of the baseline's solve instead of solving + again (at an offer the baseline delivers, each deletion is solved at the offer), and ShortestPaths + gives reduction 0 without placing to an edge outside the static shortest-path support reachable from + the roster sources (no route can use it). CentralizedTE with a support solves every deletion afresh; Pinned + replays the same program under each deletion. workers as evaluate_pairs + (NGRAPH_CORE_SENSITIVITY_THREADS). Only ShortestPaths reads the cache, and each placed deletion uses a + new Eligibility uid, so a frozen cache raises ShortestPathCacheMiss there. + A failed deletion fails the call (the lowest failing candidate's exception, no partial result); a + supplied ShortestPathCache then behaves as the ShortestPathCache docstring states. + """ + +def evaluate_pairs( graph: Graph, pairs: collections.abc.Sequence[ collections.abc.Sequence[ @@ -2442,107 +2531,60 @@ def batch_capacity( | numpy.typing.NDArray[numpy.integer] ] | numpy.typing.NDArray[numpy.integer], - opts: QueryOptions, - per_pair_elig: collections.abc.Sequence[Eligibility | None] | None = None, + options: EvaluationOptions, + per_pair_eligibility: collections.abc.Sequence[Eligibility | None] | None = None, workers: typing.SupportsIndex | None = None, ) -> list[PlacementResult]: """ - capacity() for each (sources, destinations) pair, results in pair order. Pair i uses opts.elig - intersected with per_pair_elig[i] (None entries allowed; a given sequence has one entry per pair, + evaluate_demand() for each (sources, destinations) pair, results in pair order. Pair i uses + options.eligibility intersected with per_pair_eligibility[i] (None entries allowed; a given sequence has one entry per pair, also when empty). workers >= 1; None: NGRAPH_CORE_BATCH_THREADS or 1, and 1 when a cache is supplied. Everything is validated before a worker starts, the arguments first, then each pair completely in pair order, so the error of the lowest failing pair is raised. Pinned is rejected - (`batch_capacity does not accept Pinned`: a program has fixed endpoints); + (`evaluate_pairs does not accept Pinned`: a program has fixed endpoints); an empty batch returns []. Caches: a supplied building cache needs workers == 1; a frozen cache is shared by every worker - (pass workers explicitly), and its DagCacheMiss reaches the caller unchanged (the lowest failing + (pass workers explicitly), and its ShortestPathCacheMiss reaches the caller unchanged (the lowest failing pair's). An intersection that differs from both operands gets a new Eligibility uid, which a - frozen cache cannot hold: pass the combined per-pair values with elig None, or a common value + frozen cache cannot hold: pass the combined per-pair values with eligibility None, or a common value that contains them. - A failed call raises; a supplied DagCache then behaves as the DagCache docstring states. - """ - -def capacity( - graph: Graph, - sources: typing.SupportsIndex - | collections.abc.Sequence[typing.SupportsIndex] - | numpy.typing.NDArray[numpy.integer], - destinations: typing.SupportsIndex - | collections.abc.Sequence[typing.SupportsIndex] - | numpy.typing.NDArray[numpy.integer], - opts: QueryOptions, -) -> PlacementResult: - """ - place(+inf) of a FlowPolicy with opts.config on a fresh ledger of the graph (Pinned LOSSY: - place(opts.offered); T1: evaluate(+inf or opts.offered, design_demand=opts.design_demand), the - lossless bound of the tunnels set up for the design, or what they deliver of offered; T2: the same - with an unlimited design when LOSSLESS and none is given, and the design as the offer when LOSSY - without offered) -> PlacementResult. - The exact maximum flow is Global() (the optimized origin); with origin=EQUAL, the largest total whose - round-robin source shares are all carried. A supplied frozen cache raises DagCacheMiss for an absent - key, unchanged. - A failed call raises; a supplied DagCache then behaves as the DagCache docstring states. + A failed call raises; a supplied ShortestPathCache then behaves as the ShortestPathCache docstring states. """ def ksp( - graph: Graph, src: typing.SupportsIndex, dst: typing.SupportsIndex, opts: KspOptions + graph: Graph, + source: typing.SupportsIndex, + destination: typing.SupportsIndex, + options: KspOptions, ) -> list[tuple[int, Path]]: """ - The k shortest simple src -> dst paths over the eligible edges (only those with residual >= 1 when + The k shortest simple source -> destination paths over the eligible edges (only those with residual >= 1 when a residual is given; an edge of capacity 0 is searched like any other) -> [(cost, Path)], each hop - a single edge. Order: lowest cost; then, under PREFER_HIGHER_PRIORITY only, highest bottleneck - (the smallest priority value along the path); then fewest hops; then the smallest EdgeId + a single edge. Order: lowest cost; then, under a HIGHER_* tie_break only, the highest bottleneck + (the smallest tie value along the path); then fewest hops; then the smallest EdgeId sequence. The result is the first k paths of that order - within the inclusive cost ceiling. Validated in this order before any work (ValueError): src and - dst in range, src == dst, k >= 1, the ceiling, the residual (length, then every entry), a foreign - Eligibility. An excluded endpoint, no static route under Stretch, or no path gives []. + within the inclusive cost ceiling. Validated in this order before any work (ValueError): source and + destination in range, source == destination, k >= 1, the ceiling, the residual (length, then every + entry), a foreign Eligibility. An excluded endpoint, no static route under a CostStretch ceiling, or + no path gives []. """ def resolve_to_paths( graph: Graph, - dag: PredDAG, - src: typing.SupportsIndex, - dst: typing.SupportsIndex, + dag: PredecessorDAG, + source: typing.SupportsIndex, + destination: typing.SupportsIndex, split_parallel_edges: bool = False, max_paths: typing.SupportsIndex | None = None, ) -> list[Path]: """ - The src -> dst walks of a DAG -> [Path], in increasing (cost, hops, edge-id sequence): + The source -> destination walks of a DAG -> [Path], in increasing (cost, hops, edge-id sequence): a hop costs its cheapest member and is keyed by its lowest member id. split_parallel_edges = False keeps every parallel member of a (u, v) pair in one hop (members ascending); True gives one path per member combination, sorted by that path's own (cost, hops, edge-id sequence). max_paths (>= 1) truncates; None lists every walk. - ValueError: a DAG of another graph, src or dst out of range, src == dst, max_paths < 1. An - endpoint outside the DAG, or no walk, gives []. - """ - -def sensitivity( - graph: Graph, - sources: typing.SupportsIndex - | collections.abc.Sequence[typing.SupportsIndex] - | numpy.typing.NDArray[numpy.integer], - destinations: typing.SupportsIndex - | collections.abc.Sequence[typing.SupportsIndex] - | numpy.typing.NDArray[numpy.integer], - opts: QueryOptions, - workers: typing.SupportsIndex | None = None, -) -> SensitivityResult: - """ - The baseline capacity() and one SensitivityEntry per candidate edge. Candidates: with unrestricted - Global and the optimized origin, the edges that carry flow in the baseline (removing any other edge cannot - lower a maximum flow); otherwise every allowed edge, whatever its capacity (an edge of capacity 0 - can carry a route, so deleting it can change the result, and with the equal origin a deletion that - removes a source from the roster can raise the total: a negative loss). loss = baseline.placed - minus the placed of capacity() without the edge, in signed units, never thresholded. Two - shortcuts give exactly that value: unrestricted optimized Global repairs a copy of the baseline's - solve instead of solving again, and CostOnly - gives loss 0 without placing to an edge outside the static shortest-path support reachable from - the roster sources (no route can use it). Global with a support solves every deletion afresh; Pinned - replays the same program under each deletion. workers as batch_capacity - (NGRAPH_CORE_SENSITIVITY_THREADS). Only CostOnly reads the cache, and each placed deletion uses a - new Eligibility uid, so a frozen cache raises DagCacheMiss there. - A failed deletion fails the call (the lowest failing candidate's exception, no partial result); a - supplied DagCache then behaves as the DagCache docstring states. + ValueError: a DAG of another graph, source or destination out of range, source == destination, + max_paths < 1. An endpoint outside the DAG, or no walk, gives []. """ def spf( @@ -2550,21 +2592,23 @@ def spf( roots: typing.SupportsIndex | collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer], - opts: SpfOptions, + options: SpfOptions, ) -> SpfResult: """ Shortest paths from the roots for FORWARD, or to the roots for REVERSE (one NodeId or a sequence; every root at distance 0), over the eligible edges (only those with residual >= min_residual when a residual is given; an edge of capacity 0 is searched like any other) -> SpfResult. Without targets every reachable node gets its distance: costs and the full DAG of tight edges (the edges - on some shortest walk; one per (u, v) pair with multi_edge = False). With targets the search + on some shortest walk; one per (u, v) pair with parallel_edges = False). With targets the search stops at the nearest targets' cost: target_cost and the DAG of the walks between the roots and a nearest target (for REVERSE, from the target to a root, in the edges' own direction); with multipath = False, instead the canonical single path, the walk minimising (cost, -bottleneck - under PREFER_HIGHER_PRIORITY, hops, EdgeId sequence). Validated in this order before any work + under a HIGHER_* tie_break, hops, EdgeId sequence). Validated in this order before any work (ValueError): the roots (non-empty, ids in range), the targets (the same), a node in both sets, - multipath = False without targets, the residual (length, then every entry in [0, capacity_units]), + multipath = False without targets, a HIGHER_* tie_break with multipath and parallel_edges both + True ('spf tie_break requires multipath=False or parallel_edges=False'), the residual (length, + then every entry in [0, edge_capacity_units]), min_residual >= 1, a foreign Eligibility. Excluded roots and targets are skipped; all roots excluded gives an empty result. """ diff --git a/src/tunnels_t2.cpp b/src/centralized_te_tunnels.cpp similarity index 93% rename from src/tunnels_t2.cpp rename to src/centralized_te_tunnels.cpp index 842756b..3b5ce12 100644 --- a/src/tunnels_t2.cpp +++ b/src/centralized_te_tunnels.cpp @@ -1,5 +1,5 @@ /* - T2 layout (contract 7.2 to 7.7): a controller gives every live head the same number k of + T2 layout: a controller gives every live head the same number k of single-path tunnels with one common whole-unit planned bandwidth. The network: the allowed edges (an edge and both endpoints allowed) that do not leave a @@ -25,7 +25,7 @@ Working size (finite design D): u = min(U, max(1, max over live heads of ceil(RR(D, H, i) / k))) with i the head's roster position (dead heads' shares stay in the round robin); unlimited: U. - Routes at u (7.3): count vectors x with x[e] <= b[e] = min(K, floor(V[e] / u)); minimum + Routes at u: count vectors x with x[e] <= b[e] = min(K, floor(V[e] / u)); minimum J = sum cost * x, then (prefer_headroom) minimum Phi = sum over slots of floor(2^32 (B - V + j u) / B) (B: static capacity; j u <= V, so a slot price is an integer in [0, 2^32]), then the canonical unit augmentation: K units from zero flow, each on the residual root-to-sink path of minimum @@ -47,7 +47,7 @@ each head's k paths sorted by EdgeId sequence; tunnels in round order (round j, then roster position i), index j * H + i. - Up to L (7.7): k = 1..L upwards; U(k) never increases with k (a feasible (k + 1)-layout minus one + Up to L: k = 1..L upwards; U(k) never increases with k (a feasible (k + 1)-layout minus one tunnel per head is feasible), so U(k) = 0 ends the scan (every later score is 0). With M = H k roster positions the score G(min(D, F'(k))) (G: the live heads' part of a round-robin total; F'(k): the largest total whose live shares fit on the program at U(k), dead shares ignored, in @@ -67,9 +67,9 @@ #include #include -#include "netgraph/core/detail/flow_core.hpp" +#include "netgraph/core/detail/min_cost_flow.hpp" #include "netgraph/core/detail/int128.hpp" -#include "netgraph/core/detail/tunnels.hpp" +#include "netgraph/core/detail/tunnel_setup.hpp" namespace netgraph::core::detail { @@ -100,8 +100,8 @@ Base make_base(const Graph& g, const Eligibility* elig, std::span Base b {g, roster, dests, V}; const auto n = static_cast(g.num_nodes()); const auto m = static_cast(g.num_edges()); - const auto src = g.edge_src(); - const auto dst = g.edge_dst(); + const auto src = g.edge_sources(); + const auto dst = g.edge_destinations(); std::vector is_dst(n, 0); for (NodeId d : dests) is_dst[static_cast(d)] = 1; b.usable.assign(m, 0); @@ -109,15 +109,15 @@ Base make_base(const Graph& g, const Eligibility* elig, std::span const auto u = src[e]; const auto v = dst[e]; if (is_dst[static_cast(u)] != 0) continue; - if (elig != nullptr && (!elig->edge_ok(static_cast(e)) || !elig->node_ok(u) || !elig->node_ok(v))) continue; + if (elig != nullptr && (!elig->allows_edge(static_cast(e)) || !elig->allows_node(u) || !elig->allows_node(v))) continue; b.usable[e] = 1; } // The reverse traversal from the destinations over usable edges with V >= 1. b.back.assign(n, 0); std::vector stack(dests.begin(), dests.end()); for (NodeId d : dests) b.back[static_cast(d)] = 1; - const auto in_row = g.in_row_offsets(); - const auto in_edge = g.in_adj_edge_index(); + const auto in_row = g.incoming_offsets(); + const auto in_edge = g.incoming_edges(); while (!stack.empty()) { const auto v = static_cast(stack.back()); stack.pop_back(); @@ -153,8 +153,8 @@ Quota make_quota(const Base& b) { } const auto& g = b.g; const auto n = static_cast(g.num_nodes()); - const auto row = g.row_offsets(); - const auto dst = g.edge_dst(); + const auto row = g.outgoing_offsets(); + const auto dst = g.edge_destinations(); std::vector fwd(n, 0); std::vector stack(q.live.begin(), q.live.end()); for (NodeId h : q.live) fwd[static_cast(h)] = 1; @@ -169,7 +169,7 @@ Quota make_quota(const Base& b) { stack.push_back(static_cast(v)); } } - const auto src = g.edge_src(); + const auto src = g.edge_sources(); for (std::size_t e = 0; e < static_cast(g.num_edges()); ++e) { if (b.usable[e] == 0 || b.V[e] < 1) continue; if (fwd[static_cast(src[e])] == 0 || b.back[static_cast(dst[e])] == 0) continue; @@ -213,8 +213,8 @@ struct Sizing { // U: the largest integer size that fits (0 when none), at most `limit`. Amount common(Amount limit) { - const auto src = b.g.edge_src(); - const auto dst = b.g.edge_dst(); + const auto src = b.g.edge_sources(); + const auto dst = b.g.edge_destinations(); std::vector out(q.live.size(), 0); Amount in = 0; std::vector is_dst(static_cast(b.g.num_nodes()), 0); @@ -354,10 +354,10 @@ struct Key { std::vector canonical(const Base& b, const Quota& q, std::int64_t k, Amount u, bool headroom) { const auto& g = b.g; const Amount K = static_cast(q.live.size()) * k; - const auto src = g.edge_src(); - const auto dst = g.edge_dst(); - const auto cost = g.cost(); - const auto cap = g.capacity_units(); + const auto src = g.edge_sources(); + const auto dst = g.edge_destinations(); + const auto cost = g.edge_costs(); + const auto cap = g.edge_capacity_units(); // The links with a slot at u, their local endpoints; root = L, sink = L + 1. std::vector local(static_cast(g.num_nodes()), -1); std::vector node_of; @@ -584,7 +584,7 @@ std::vector canonical(const Base& b, const Quota& q, std::int64_t k, Amo // A layout at one count and size: the tunnels in round order and the objectives. struct Laid { - std::vector tunnels {}; + std::vector tunnels {}; Counter128 route_cost {}; Counter128 headroom_penalty {}; }; @@ -595,13 +595,13 @@ Laid lay(const Base& b, const Quota& q, std::int64_t k, Amount u, bool headroom) std::vector dense(static_cast(g.num_edges()), 0); for (std::size_t i = 0; i < q.edges.size(); ++i) dense[static_cast(q.edges[i])] = x[i]; const auto objectives = t2_objectives(g, q.edges, x, b.V, u, headroom); - const auto cost = g.cost(); + const auto cost = g.edge_costs(); // Unit paths per live head (the controllers' cut, each path expanded), sorted by EdgeId sequence. auto dec = decompose(g, {}, std::move(dense), q.live, b.dests); std::vector>> per_head(q.live.size()); for (auto& p : dec.paths) { - auto& rows = per_head[static_cast(p.slot)]; - for (Amount n = 0; n < p.amount; ++n) rows.push_back(p.edges); + auto& rows = per_head[static_cast(p.roster_index)]; + for (Amount n = 0; n < p.weight; ++n) rows.push_back(p.edges); } for (auto& rows : per_head) { if (static_cast(rows.size()) != k) internal("a live head's paths are not k"); @@ -613,12 +613,12 @@ Laid lay(const Base& b, const Quota& q, std::int64_t k, Amount u, bool headroom) out.tunnels.reserve(q.live.size() * static_cast(k)); for (std::int64_t j = 0; j < k; ++j) { for (std::size_t h = 0; h < q.live.size(); ++h) { - SetupTunnel t; - t.slot = static_cast(q.live_pos[h]); - t.round = static_cast(j); + TunnelSetupResult t; + t.roster_index = static_cast(q.live_pos[h]); + t.local_index = static_cast(j); t.planned = u; t.edges = per_head[h][static_cast(j)]; - for (EdgeId e : t.edges) t.cost += cost[static_cast(e)]; + for (EdgeId e : t.edges) t.path_cost += cost[static_cast(e)]; out.tunnels.push_back(std::move(t)); } } @@ -637,14 +637,14 @@ U128 live_part(const Quota& q, std::int64_t H, U128 z) noexcept { // F'(k): the largest total z whose live shares fit on the tunnels of the program at U (each tunnel // at position j H + i receives RR(z, M, j H + i); dead positions ignored), in [M U, M (U + 1)). -U128 live_budget(const Base& b, const std::vector& tunnels, std::int64_t H, std::int64_t k, Amount U) { +U128 live_budget(const Base& b, const std::vector& tunnels, std::int64_t H, std::int64_t k, Amount U) { const auto M = static_cast(H * k); std::vector load(static_cast(b.g.num_edges()), 0); std::vector touched; auto fits = [&](U128 z) { const auto [per, rest] = divmod(z, M); for (const auto& t : tunnels) { - const auto pos = static_cast(t.round * H + t.slot); // below H k <= 2^30 + const auto pos = static_cast(t.local_index * H + t.roster_index); // below H k <= 2^30 const auto amount = static_cast(per) + (pos < rest ? 1 : 0); for (EdgeId e : t.edges) { auto& x = load[static_cast(e)]; @@ -673,7 +673,7 @@ U128 live_budget(const Base& b, const std::vector& tunnels, std::in return lo; } -// The working size of a finite design D at count k (7.2): the largest live design share per tunnel, +// The working size of a finite design D at count k: the largest live design share per tunnel, // at least 1, at most U. Amount working_size(const Quota& q, std::int64_t H, std::int64_t k, Amount U, std::optional design) { if (!design.has_value()) return U; @@ -685,16 +685,16 @@ Amount working_size(const Quota& q, std::int64_t H, std::int64_t k, Amount U, st } // namespace T2Layout t2_layout(const Graph& g, const Eligibility* elig, std::span roster, - std::span dests, const Tunnels& tunnels, bool headroom, std::optional design, + std::span dests, const TunnelCount& tunnels, bool headroom, std::optional design, std::span V) { const Base b = make_base(g, elig, roster, dests, V); const Quota q = make_quota(b); const auto H = static_cast(roster.size()); T2Layout out; out.live = q.live; - out.count = tunnels.up_to ? 1 : tunnels.count; + out.count = tunnels.up_to ? 1 : tunnels.per_head; if (q.live.empty()) return out; - std::int64_t k = tunnels.count; + std::int64_t k = tunnels.per_head; Amount U = 0; std::optional cached; // the chosen count's program at U(k), when "up to" built it if (!tunnels.up_to) { @@ -708,7 +708,7 @@ T2Layout t2_layout(const Graph& g, const Eligibility* elig, std::span edges, std::span x, std::span V, Amount u, bool headroom) { - const auto cost = g.cost(); - const auto cap = g.capacity_units(); + const auto cost = g.edge_costs(); + const auto cap = g.edge_capacity_units(); U128 J {}; U128 Phi {}; for (std::size_t i = 0; i < edges.size(); ++i) { diff --git a/src/distributed_te.cpp b/src/distributed_te.cpp new file mode 100644 index 0000000..3edf756 --- /dev/null +++ b/src/distributed_te.cpp @@ -0,0 +1,76 @@ +/* + T1 setup: every head sets up its own strict tunnels, no controller. + + The design volume D is split RR(D, H, i) over the heads and each head's share RR(d, N, j) over + its N tunnels, so tunnels of one head differ by at most one unit. The attempts run in round + order (round j = 0..N-1, the heads ascending within a round), which is also the entry order + j * H + i of the program; every attempt runs even after failures, on the reservation view U + minus the requests of the tunnels already up in this setup. An attempt is one CSPF + (route_search): the allowed edges with U >= max(b, min_unreserved_bandwidth) (no filter at a + threshold of 0), Collapse of parallel members on the filtered candidates, the canonical single + path on static costs (cost, then the bottleneck score of a Higher* tie rule, fewer hops, the + smaller EdgeId sequence), the scores reading U. Then the cost ceiling. An up tunnel holds + exactly b on every edge of its path; a down one holds nothing. There is no partial reservation, + retry, growth or count reduction. + + Amounts: U[e] <= capacity < 2^62 and an up tunnel's request is at most U[e] on its edges, so U + stays in [0, 2^62); the requests of one setup sum to D < 2^62. +*/ +#include "netgraph/core/detail/tunnel_setup.hpp" + +#include +#include + +#include "netgraph/core/detail/int128.hpp" +#include "netgraph/core/detail/route_kernels.hpp" +#include "netgraph/core/detail/search_detail.hpp" + +namespace netgraph::core::detail { + +std::vector> design_by_head(std::span reachable_sources, Amount D) { + std::vector> out; + out.reserve(reachable_sources.size()); + const auto H = static_cast(reachable_sources.size()); + for (std::int64_t i = 0; i < H; ++i) { + out.emplace_back(reachable_sources[static_cast(i)], round_robin_share(D, H, i)); + } + return out; +} + +std::vector setup_distributed_te_tunnels(const Graph& graph, const Eligibility* eligibility, std::span reachable_sources, + std::span destinations, const DistributedTE& ca, Cost c0, Amount D, + std::vector U) { + // A tunnel is one path: the CSPF orders single paths by the model's tie rule. + const RouteChoice choice {ca.tie_break, false, ca.parallel_edges}; + const auto H = static_cast(reachable_sources.size()); + const std::int64_t N = ca.tunnel_count.per_head; + std::vector out; + out.reserve(static_cast(H * N)); + for (std::int64_t j = 0; j < N; ++j) { + for (std::int64_t i = 0; i < H; ++i) { + TunnelSetupResult t; + t.roster_index = static_cast(i); + t.local_index = static_cast(j); + t.requested_bandwidth = round_robin_share(round_robin_share(D, H, i), N, j); + const SearchFilter gate {eligibility, U, std::max(t.requested_bandwidth, ca.min_unreserved_bandwidth)}; + auto found = route_search(graph, gate, choice, reachable_sources[static_cast(i)], destinations); + if (!found.has_value()) { + t.status = TunnelStatus::InsufficientBandwidth; + } else if (ca.cost_ceiling.has_value() && + (std::holds_alternative(*ca.cost_ceiling) + ? found->cost > std::get(*ca.cost_ceiling).cost + : !stretch_le(found->cost, c0, std::get(*ca.cost_ceiling).numerator(), + std::get(*ca.cost_ceiling).denominator()))) { + t.status = TunnelStatus::CostCeilingExceeded; + } else { + t.edges = std::move(found->edges); + t.path_cost = found->cost; + for (EdgeId e : t.edges) U[static_cast(e)] -= t.requested_bandwidth; + } + out.push_back(std::move(t)); + } + } + return out; +} + +} // namespace netgraph::core::detail diff --git a/src/eligibility.cpp b/src/eligibility.cpp index 8c9fd00..c11190a 100644 --- a/src/eligibility.cpp +++ b/src/eligibility.cpp @@ -25,7 +25,7 @@ using detail::next_uid; Eligibility Graph::eligibility(std::span excluded_nodes, std::span excluded_edges) const { const auto n = static_cast(num_nodes_); - const auto m = capacity_.size(); + const auto m = edge_capacity_units_.size(); for (NodeId v : excluded_nodes) { if (v < 0 || static_cast(v) >= n) { throw std::invalid_argument("excluded node " + std::to_string(v) + " out of node range [0, " + @@ -47,11 +47,11 @@ Eligibility Graph::eligibility(std::span excluded_nodes, const auto vi = static_cast(v); if (el.node_allowed_[vi] == 0) continue; // duplicate el.node_allowed_[vi] = 0; - for (auto e = row_offsets_[vi]; e < row_offsets_[vi + 1]; ++e) { + for (auto e = outgoing_offsets_[vi]; e < outgoing_offsets_[vi + 1]; ++e) { el.edge_allowed_[static_cast(e)] = 0; } - for (auto s = in_row_offsets_[vi]; s < in_row_offsets_[vi + 1]; ++s) { - el.edge_allowed_[static_cast(in_adj_edge_index_[static_cast(s)])] = 0; + for (auto s = incoming_offsets_[vi]; s < incoming_offsets_[vi + 1]; ++s) { + el.edge_allowed_[static_cast(incoming_edges_[static_cast(s)])] = 0; } } el.uid_ = (excluded_nodes.empty() && excluded_edges.empty()) ? 0 : next_uid(); diff --git a/src/evaluators.cpp b/src/evaluators.cpp index 8b83ab8..dd30b8e 100644 --- a/src/evaluators.cpp +++ b/src/evaluators.cpp @@ -1,14 +1,16 @@ /* - capacity() is place(+inf) on a fresh ledger (Pinned Lossy: place(offered); T1 and T2: evaluate - of the design, with +inf or the offered amount). batch_capacity() - runs it per pair and sensitivity() per candidate deletion on `workers` threads; results follow - input order and the lowest failing index supplies the exception. Unrestricted Global with the - optimized origin repairs the baseline flow after each deletion. CostOnly skips an edge that no + evaluate_demand() is a fresh policy's place(offer) on a fresh ledger (absent: +inf; T1 and T2: + evaluate(offer, design)). evaluate_pairs() runs it per pair and evaluate_edge_failures() per candidate + deletion on `workers` threads; results follow + input order and the lowest failing index supplies the exception. Unrestricted CentralizedTE with the + optimized source allocation deletes only the edges its baseline loads, repairing the baseline flow after each + deletion when that flow is a maximum (no offer, or an offer it does not reach) and solving afresh at a binding + offer. ShortestPaths skips an edge that no roster source's reachable part of the static shortest-path support contains: removing it - changes no route or amount. Other deletions (the equal origin of Global among them: a deletion - can raise its maximum; Global with a support; T1 and T2, which set up or lay out again; Pinned, - which replays its program under each deletion) use fresh ledgers. Only CostOnly reads a - DagCache. + changes no route or amount. Other deletions (the equal source allocation of CentralizedTE among them: a deletion + can raise its maximum; CentralizedTE with a support; T1 and T2, which set up or lay out again; Pinned, + which replays its program under each deletion) use fresh ledgers. Only ShortestPaths reads a + ShortestPathCache. */ #include "netgraph/core/evaluators.hpp" @@ -27,72 +29,65 @@ #include "netgraph/core/detail/cache_access.hpp" #include "netgraph/core/detail/endpoints.hpp" #include "netgraph/core/detail/evaluator_checks.hpp" -#include "netgraph/core/detail/flow_core.hpp" +#include "netgraph/core/detail/min_cost_flow.hpp" #include "netgraph/core/detail/policy_engine.hpp" -#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/detail/route_builders.hpp" namespace netgraph::core { namespace { -// A ledger of g for one evaluation: the graph is borrowed (the ledger dies within the call). -std::shared_ptr borrowed(const Graph& g) { - return std::shared_ptr(std::shared_ptr {}, &g); +// A ledger of graph for one evaluation: the graph is borrowed (the ledger dies within the call). +std::shared_ptr borrowed(const Graph& graph) { + return std::shared_ptr(std::shared_ptr {}, &graph); } -// The call an evaluator makes on its fresh policy (12.1): place(offer), or for T1 and T2 -// evaluate(offer, design) (`full`; design absent: the offer). +// The call an evaluator makes on its fresh policy: place(offer), or for T1 and T2 +// evaluate(offer, design) (`full`). struct EvaluatorCall { - std::optional offer {}; // nullopt: +inf + std::optional offer {}; // nullopt: +inf (no offer, or the first-hop experiment) std::optional design {}; // the tunnel models' design D (nullopt: unlimited) bool full {false}; }; -bool outside(const std::optional>& x) noexcept { - return x.has_value() && x->has_value() && (**x < 0 || **x >= kDomainLimit); -} +bool in_domain(Amount x) noexcept { return x >= 0 && x < kDomainLimit; } -// The evaluators' amounts (12.1): `offered` and `design_demand` in their domains, the design's -// rules, then the model's offer rule. -EvaluatorCall evaluator_call(const FlowPolicyConfig& cfg, const std::optional>& offered, +// The evaluators' amounts, after the policy's construction checked the configuration: an +// explicitly given offer (finite, in its domain); the design demand (its model, its domain, T1's +// finite); T1's missing design; then the absent values resolved and the missing Lossy offer. +EvaluatorCall evaluator_call(const FlowPolicyConfig& config, const std::optional>& offer, const std::optional>& design) { - const auto& r = cfg.routing; - if (outside(offered)) throw std::invalid_argument("offered must be an integer in [0, 2^62) or permitted +inf"); - if (outside(design)) throw std::invalid_argument("design_demand must be an integer in [0, 2^62) or permitted +inf"); - const std::string model = detail::model_name(r); - const bool t1 = std::holds_alternative(r); - const auto* gl = std::get_if(&r); - const bool t2 = gl != nullptr && gl->tunnels.has_value(); - EvaluatorCall call; - if (design.has_value() && !t1 && !t2) throw std::invalid_argument(model + " does not accept design_demand"); - if (t1) { - if (!design.has_value()) throw std::invalid_argument("T1 capacity requires design_demand"); - if (!design->has_value()) throw std::invalid_argument("T1 requires a finite design demand"); + const auto& r = config.routing; + if (offer.has_value() && (!offer->has_value() || !in_domain(**offer))) { + throw std::invalid_argument("offer must be an integer in [0, 2^62)"); + } + const std::string model = detail::model_class(r); + const bool t1 = std::holds_alternative(r); + const auto* gl = std::get_if(&r); + const bool t2 = gl != nullptr && gl->tunnel_count.has_value(); + if (design.has_value()) { + if (!t1 && !t2) throw std::invalid_argument(model + " does not accept design_demand"); + if (design->has_value() && !in_domain(**design)) { + throw std::invalid_argument("design_demand must be an integer in [0, 2^62) or permitted +inf"); + } + if (t1 && !design->has_value()) throw std::invalid_argument("DistributedTE requires a finite design demand"); } - // T2: the design as given; absent, unlimited (Lossless) or the offer (Lossy). + if (t1 && !design.has_value()) throw std::invalid_argument("DistributedTE evaluation requires design_demand"); + EvaluatorCall call; + if (offer.has_value()) call.offer = **offer; if (t1 || t2) { - call.design = design.has_value() ? *design : std::optional {}; call.full = true; + // T2's absent design is the offer when it is finite, else unlimited. + call.design = design.has_value() ? *design : call.offer; } - if (cfg.admission == Admission::Lossless) { - if (offered.has_value()) throw std::invalid_argument(model + " LOSSLESS capacity does not accept offered"); - return call; - } - if (t2 && !offered.has_value()) { - // No offered: the design if finite (an explicit +inf is rejected below). - if (!call.design.has_value()) throw std::invalid_argument("T2 LOSSY capacity requires finite offered"); - call.offer = call.design; - return call; - } - if (t1 || t2 || std::holds_alternative(r)) { - if (!offered.has_value() || !offered->has_value()) { - throw std::invalid_argument(model + " LOSSY capacity requires finite offered"); + if (config.admission == Admission::Lossy && !offer.has_value()) { + if (t2 && call.design.has_value()) { + call.offer = call.design; + } else if (t1 || t2 || std::holds_alternative(r)) { + throw std::invalid_argument(model + " LOSSY evaluation requires a finite offer"); } - call.offer = *offered; - if (t2 && !design.has_value()) call.design = call.offer; - return call; + // ShortestPaths Equal/Weighted: the first-hop experiment (place(+inf)). } - if (offered.has_value()) throw std::invalid_argument("CostOnly LOSSY capacity uses first-hop injection"); return call; } @@ -103,25 +98,25 @@ PlacementResult run(FlowPolicy& policy, const EvaluatorCall& call, const OutputO } // One evaluation inside a public call: a supplied frozen cache's hit goes to the call's tally. -PlacementResult evaluate(const Graph& g, std::span sources, std::span destinations, - const QueryOptions& opts, const Eligibility* elig, DagCache* cache, - const OutputOptions& outputs, detail::FrozenTally& tally) { - FlowLedger fg(borrowed(g)); - FlowPolicy policy = detail::PolicyAccess::make(fg, sources, destinations, opts.config, elig, cache, tally); - return run(policy, evaluator_call(policy.config(), opts.offered, opts.design_demand), outputs); +PlacementResult evaluate(const Graph& graph, std::span sources, std::span destinations, + const EvaluationOptions& opts, const Eligibility* eligibility, ShortestPathCache* cache, + const OutputOptions& outputs, detail::FrozenCacheHitTally& tally) { + FlowLedger fg(borrowed(graph)); + FlowPolicy policy = detail::PolicyAccess::make(fg, sources, destinations, opts.config, eligibility, cache, tally); + return run(policy, evaluator_call(policy.config(), opts.offer, opts.design_demand), outputs); } -void check_common(const Graph& g, const Eligibility* elig, const DagCache* cache, std::int32_t workers) { +void check_common(const Graph& graph, const Eligibility* eligibility, const ShortestPathCache* cache, std::int32_t workers) { if (workers < 1) throw std::invalid_argument("workers must be >= 1 (got " + std::to_string(workers) + ")"); - if (elig != nullptr && elig->graph_uid() != g.uid()) { + if (eligibility != nullptr && eligibility->graph_uid() != graph.uid()) { throw std::invalid_argument("foreign Eligibility: built for another graph"); } - if (cache != nullptr && cache->graph_uid() != g.uid()) { - throw std::invalid_argument("foreign DagCache: bound to another graph"); + if (cache != nullptr && cache->graph_uid() != graph.uid()) { + throw std::invalid_argument("foreign ShortestPathCache: bound to another graph"); } if (cache != nullptr && workers != 1 && !detail::DagCacheAccess::frozen(*cache)) { throw std::invalid_argument( - "a supplied building DagCache has one writer: it is rejected unless workers == 1 (got workers = " + + "a supplied building ShortestPathCache has one writer: it is rejected unless workers == 1 (got workers = " + std::to_string(workers) + "; a frozen cache may be shared by every worker)"); } } @@ -140,26 +135,26 @@ std::size_t worker_threads(std::size_t n, std::int32_t workers) { // any thread starts, so a failure throws in the caller; the worker body cannot throw (an // exception escaping a std::thread terminates the process): a task's exception is caught into // its slot, and every launched thread is joined before anything is rethrown. -// A worker's cache for one evaluation: only CostOnly reads one (the other models reject a cache, +// A worker's cache for one evaluation: only ShortestPaths reads one (the other models reject a cache, // and the caller's was validated before the workers started). -DagCache* worker_cache(const FlowPolicyConfig& cfg, DagCache& cache) noexcept { - return std::holds_alternative(cfg.routing) ? &cache : nullptr; +ShortestPathCache* worker_cache(const FlowPolicyConfig& config, ShortestPathCache& cache) noexcept { + return std::holds_alternative(config.routing) ? &cache : nullptr; } template -void run_indexed(std::size_t n, std::int32_t workers, const Graph& g, DagCache* shared, Task task) { +void run_indexed(std::size_t n, std::int32_t workers, const Graph& graph, ShortestPathCache* shared, Task task) { if (n == 0) return; const auto threads = worker_threads(n, workers); std::vector errors(n); - std::vector> own; + std::vector> own; if (shared == nullptr) { own.reserve(threads); - for (std::size_t t = 0; t < threads; ++t) own.push_back(std::make_unique(g)); + for (std::size_t t = 0; t < threads; ++t) own.push_back(std::make_unique(graph)); } std::atomic next {0}; std::atomic abort {false}; auto worker = [&](std::size_t t) noexcept { - DagCache& cache = shared != nullptr ? *shared : *own[t]; + ShortestPathCache& cache = shared != nullptr ? *shared : *own[t]; while (!abort.load(std::memory_order_relaxed)) { const std::size_t i = next.fetch_add(1, std::memory_order_relaxed); if (i >= n) break; @@ -190,7 +185,7 @@ void run_indexed(std::size_t n, std::int32_t workers, const Graph& g, DagCache* } } -// CostOnly sensitivity: the edges of the full static support (every edge on a static shortest +// ShortestPaths sensitivity: the edges of the full static support (every edge on a static shortest // path to the destination set) reachable from the roster sources through support edges. This is // not only the baseline's selected routes. Each source's route is read from the part of this set // reachable from it, then selected on the priority values of the residual at the preparing call's @@ -201,15 +196,15 @@ void run_indexed(std::size_t n, std::int32_t workers, const Graph& g, DagCache* // edges of capacity 0 too. So every source's route, the pooled program (or the controller's // support) built from them, and the view they are read on are unchanged, and so is every amount: // the loss is exactly 0 and the deletion is not re-evaluated. -std::vector reachable_support(const Graph& g, const detail::PolicyEngine& pe) { - const auto num_edges = static_cast(g.num_edges()); +std::vector reachable_support(const Graph& graph, const detail::PolicyEngine& pe) { + const auto num_edges = static_cast(graph.num_edges()); std::vector in_support(num_edges, 0); - for (EdgeId e : detail::PredDAGBuilder::ascending(*pe.support)) in_support[static_cast(e)] = 1; + for (EdgeId e : detail::PredecessorDAGBuilder::ascending(*pe.support)) in_support[static_cast(e)] = 1; std::vector reached(num_edges, 0); - std::vector seen(static_cast(g.num_nodes()), 0); - const auto row = g.row_offsets(); - const auto edge_dst = g.edge_dst(); - std::vector stack(pe.roster.begin(), pe.roster.end()); + std::vector seen(static_cast(graph.num_nodes()), 0); + const auto row = graph.outgoing_offsets(); + const auto edge_destinations = graph.edge_destinations(); + std::vector stack(pe.reachable_sources.begin(), pe.reachable_sources.end()); for (NodeId s : stack) seen[static_cast(s)] = 1; while (!stack.empty()) { const auto u = static_cast(stack.back()); @@ -217,7 +212,7 @@ std::vector reachable_support(const Graph& g, const detail::Policy for (auto e = static_cast(row[u]); e < static_cast(row[u + 1]); ++e) { if (in_support[e] == 0) continue; reached[e] = 1; - const auto v = static_cast(edge_dst[e]); + const auto v = static_cast(edge_destinations[e]); if (seen[v] == 0) { seen[v] = 1; stack.push_back(static_cast(v)); @@ -231,62 +226,62 @@ std::vector reachable_support(const Graph& g, const detail::Policy namespace detail { -void check_batch_arguments(const Graph& g, const QueryOptions& opts, std::int32_t workers) { - check_common(g, opts.elig, opts.cache, workers); - if (std::holds_alternative(opts.config.routing)) throw std::invalid_argument("batch_capacity does not accept Pinned"); - if (const auto* global = std::get_if(&opts.config.routing); global != nullptr && global->support && - global->support->graph_uid() != g.uid()) { +void check_batch_arguments(const Graph& graph, const EvaluationOptions& options, std::int32_t workers) { + check_common(graph, options.eligibility, options.cache, workers); + if (std::holds_alternative(options.config.routing)) throw std::invalid_argument("evaluate_pairs does not accept Pinned"); + if (const auto* global = std::get_if(&options.config.routing); global != nullptr && global->support && + global->support->graph_uid() != graph.uid()) { throw std::invalid_argument("support belongs to another graph"); } - (void)resolve_config(opts.config, opts.cache != nullptr, g.num_edges()); - (void)evaluator_call(opts.config, opts.offered, opts.design_demand); + check_config(options.config, options.cache != nullptr, graph.num_edges(), std::nullopt); + (void)evaluator_call(options.config, options.offer, options.design_demand); } -void check_batch_pair(const Graph& g, const FlowPolicyConfig& cfg, std::span sources, - std::span destinations, const Eligibility* elig, std::size_t index) { - const auto s = node_set(sources, g.num_nodes(), "sources"); - const auto t = node_set(destinations, g.num_nodes(), "destinations"); +void check_batch_pair(const Graph& graph, const FlowPolicyConfig& config, std::span sources, + std::span destinations, const Eligibility* eligibility, std::size_t index) { + const auto s = node_set(sources, graph.num_nodes(), "sources"); + const auto t = node_set(destinations, graph.num_nodes(), "destinations"); check_disjoint(s, t, "sources", "destinations"); - if (elig != nullptr && elig->graph_uid() != g.uid()) { - throw std::invalid_argument("foreign Eligibility: per_pair_elig[" + std::to_string(index) + + if (eligibility != nullptr && eligibility->graph_uid() != graph.uid()) { + throw std::invalid_argument("foreign Eligibility: per_pair_eligibility[" + std::to_string(index) + "] built for another graph"); } - check_source_count(cfg, s.size(), t.size()); + check_source_count(config, s.size()); } -PlacementResult capacity_in_call(const Graph& g, std::span sources, - std::span destinations, const QueryOptions& opts, FrozenTally& tally) { - return evaluate(g, sources, destinations, opts, opts.elig, opts.cache, opts.outputs, tally); +PlacementResult evaluate_demand_in_call(const Graph& graph, std::span sources, + std::span destinations, const EvaluationOptions& options, FrozenCacheHitTally& tally) { + return evaluate(graph, sources, destinations, options, options.eligibility, options.cache, options.outputs, tally); } -std::vector batch_capacity_in_call( - const Graph& g, const std::vector, std::vector>>& pairs, - const QueryOptions& opts, std::span per_pair_elig, std::int32_t workers, - FrozenTally& tally) { - check_batch_arguments(g, opts, workers); - if (!per_pair_elig.empty() && per_pair_elig.size() != pairs.size()) { - throw std::invalid_argument("per_pair_elig has " + std::to_string(per_pair_elig.size()) + " entries for " + +std::vector evaluate_pairs_in_call( + const Graph& graph, const std::vector, std::vector>>& pairs, + const EvaluationOptions& options, std::span per_pair_eligibility, std::int32_t workers, + FrozenCacheHitTally& tally) { + check_batch_arguments(graph, options, workers); + if (!per_pair_eligibility.empty() && per_pair_eligibility.size() != pairs.size()) { + throw std::invalid_argument("per_pair_eligibility has " + std::to_string(per_pair_eligibility.size()) + " entries for " + std::to_string(pairs.size()) + " pairs"); } for (std::size_t i = 0; i < pairs.size(); ++i) { - check_batch_pair(g, opts.config, pairs[i].first, pairs[i].second, per_pair_elig.empty() ? nullptr : per_pair_elig[i], + check_batch_pair(graph, options.config, pairs[i].first, pairs[i].second, per_pair_eligibility.empty() ? nullptr : per_pair_eligibility[i], i); } std::vector> results(pairs.size()); - run_indexed(pairs.size(), workers, g, opts.cache, [&](std::size_t i, DagCache& cache, std::size_t /*t*/) { - const Eligibility* extra = per_pair_elig.empty() ? nullptr : per_pair_elig[i]; + run_indexed(pairs.size(), workers, graph, options.cache, [&](std::size_t i, ShortestPathCache& cache, std::size_t /*t*/) { + const Eligibility* extra = per_pair_eligibility.empty() ? nullptr : per_pair_eligibility[i]; std::optional both; - const Eligibility* elig = opts.elig; + const Eligibility* elig = options.eligibility; if (extra != nullptr) { if (elig == nullptr) { elig = extra; } else { - both = Eligibility::intersect(*opts.elig, *extra); + both = Eligibility::intersect(*options.eligibility, *extra); elig = &*both; } } - results[i] = evaluate(g, pairs[i].first, pairs[i].second, opts, elig, worker_cache(opts.config, cache), - opts.outputs, tally); + results[i] = evaluate(graph, pairs[i].first, pairs[i].second, options, elig, worker_cache(options.config, cache), + options.outputs, tally); }); std::vector out; out.reserve(results.size()); @@ -294,89 +289,93 @@ std::vector batch_capacity_in_call( return out; } -SensitivityResult sensitivity_in_call(const Graph& g, std::span sources, - std::span destinations, const QueryOptions& opts, - std::int32_t workers, FrozenTally& tally) { - check_common(g, opts.elig, opts.cache, workers); - // Unrestricted Global with the optimized origin (its default) repairs its baseline; the equal - // origin, a support and T2 cannot (every allowed deletion is solved afresh). - const auto* global_routing = std::get_if(&opts.config.routing); - const bool global = global_routing != nullptr && !global_routing->support && !global_routing->tunnels.has_value() && - opts.config.origin != Origin::Equal; - const bool cost_only = std::holds_alternative(opts.config.routing); +SensitivityResult evaluate_edge_failures_in_call(const Graph& graph, std::span sources, + std::span destinations, const EvaluationOptions& options, + std::int32_t workers, FrozenCacheHitTally& tally) { + check_common(graph, options.eligibility, options.cache, workers); + // Unrestricted CentralizedTE with the optimized source allocation skips the links its baseline leaves without + // flow (deleting one keeps the baseline feasible, so the delivery stays). When the baseline is a maximum flow (no + // offer, or a finite offer above what it delivers) each deletion repairs the baseline's state; when the offer + // binds (the baseline delivers it, perhaps below the maximum) each deletion is solved afresh at the offer. The + // equal source allocation, a support and T2 solve every allowed deletion afresh. + const auto* global_routing = std::get_if(&options.config.routing); + const bool global = global_routing != nullptr && !global_routing->support && !global_routing->tunnel_count.has_value() && + global_routing->source_allocation != SourceAllocation::Equal; + const bool cost_only = std::holds_alternative(options.config.routing); SensitivityResult out; - std::vector on_route; // CostOnly: the baseline's reachable support - detail::DeletionCapture capture; // optimized Global: the baseline solve's final state + std::vector on_route; // ShortestPaths: the baseline's reachable support + detail::DeletionCapture capture; // optimized CentralizedTE: the baseline solve's final state { - std::unique_ptr own; - DagCache* cache = opts.cache; + std::unique_ptr own; + ShortestPathCache* cache = options.cache; if (cache == nullptr && cost_only) { - own = std::make_unique(g); + own = std::make_unique(graph); cache = own.get(); } - FlowLedger fg(borrowed(g)); - FlowPolicy policy = PolicyAccess::make(fg, sources, destinations, opts.config, opts.elig, cache, tally); + FlowLedger fg(borrowed(graph)); + FlowPolicy policy = PolicyAccess::make(fg, sources, destinations, options.config, options.eligibility, cache, tally); auto& pe = PolicyAccess::engine(policy); if (global) pe.capture = &capture; - out.baseline = run(policy, evaluator_call(policy.config(), opts.offered, opts.design_demand), opts.outputs); + out.baseline = run(policy, evaluator_call(policy.config(), options.offer, options.design_demand), options.outputs); pe.capture = nullptr; - if (cost_only) on_route = reachable_support(g, pe); + if (cost_only) on_route = reachable_support(graph, pe); } std::vector candidates; if (global) { // The baseline's positive-flow edges; no state, and no candidate, when no roster source // reaches an allowed destination (nothing is placed). if (capture.state.has_value()) { - if (capture.state->value() != out.baseline.placed) { + if (capture.state->value() != out.baseline.call_delivered) { throw std::logic_error("sensitivity: the captured state differs from the baseline"); } const auto flows = capture.state->edge_flows(); - for (EdgeId e = 0; e < g.num_edges(); ++e) { + for (EdgeId e = 0; e < graph.num_edges(); ++e) { if (flows[static_cast(e)] > 0) candidates.push_back(e); } } } else { // Every allowed edge: an edge of capacity 0 can carry a route (and a roster source), and a - // deletion can raise an equal origin's total (its source then leaves the roster). - for (EdgeId e = 0; e < g.num_edges(); ++e) { - if (opts.elig == nullptr || opts.elig->edge_ok(e)) candidates.push_back(e); + // deletion can raise an equal source allocation's total (its source then leaves the roster). + for (EdgeId e = 0; e < graph.num_edges(); ++e) { + if (options.eligibility == nullptr || options.eligibility->allows_edge(e)) candidates.push_back(e); } } - const Amount base = out.baseline.placed; + const Amount base = out.baseline.call_delivered; + const bool repair = global && (!options.offer.has_value() || base < **options.offer); out.entries.resize(candidates.size()); - // Global: one resolver per worker (its copy of the state and its working storage), made here. + // CentralizedTE: one resolver per worker (its copy of the state and its working storage), made here. std::vector resolvers; - if (global && !candidates.empty()) { + if (repair && !candidates.empty()) { const auto threads = worker_threads(candidates.size(), workers); resolvers.reserve(threads); for (std::size_t t = 0; t < threads; ++t) resolvers.emplace_back(*capture.state); } - run_indexed(candidates.size(), workers, g, opts.cache, [&](std::size_t i, DagCache& cache, std::size_t t) { + run_indexed(candidates.size(), workers, graph, options.cache, [&](std::size_t i, ShortestPathCache& cache, std::size_t t) { const EdgeId e = candidates[i]; auto& entry = out.entries[i]; entry.edge = e; // A failed deletion fails the call: run_indexed raises the lowest failing candidate's exception. - if (global) { - entry.loss = base - resolvers[t].resolve(e).value; + if (repair) { + entry.delivery_reduction = base - resolvers[t].resolve(e).value; return; } if (cost_only && on_route[static_cast(e)] == 0) { - entry.loss = 0; + entry.delivery_reduction = 0; } else { const EdgeId one[1] = {e}; - Eligibility deleted = g.eligibility({}, one); - if (opts.elig != nullptr) deleted = Eligibility::intersect(*opts.elig, deleted); - const auto r = evaluate(g, sources, destinations, opts, &deleted, worker_cache(opts.config, cache), + Eligibility deleted = graph.eligibility({}, one); + if (options.eligibility != nullptr) deleted = Eligibility::intersect(*options.eligibility, deleted); + const auto r = evaluate(graph, sources, destinations, options, &deleted, worker_cache(options.config, cache), OutputOptions {}, tally); - entry.loss = base - r.placed; + entry.delivery_reduction = base - r.call_delivered; } - if (&cache != opts.cache) cache.clear(); + if (&cache != options.cache) cache.clear(); }); return out; } -std::int32_t default_workers(bool sensitivity) noexcept { - const char* v = sensitivity ? std::getenv("NGRAPH_CORE_SENSITIVITY_THREADS") : std::getenv("NGRAPH_CORE_BATCH_THREADS"); +std::int32_t default_workers(bool edge_failures) noexcept { + const char* v = edge_failures ? std::getenv("NGRAPH_CORE_SENSITIVITY_THREADS") : std::getenv("NGRAPH_CORE_BATCH_THREADS"); if (v == nullptr) return 1; char* end = nullptr; const long n = std::strtol(v, &end, 10); @@ -387,26 +386,26 @@ std::int32_t default_workers(bool sensitivity) noexcept { } // namespace detail // Each evaluator is one public call on a supplied frozen cache's statistics. -PlacementResult capacity(const Graph& g, std::span sources, - std::span destinations, const QueryOptions& opts) { - return detail::frozen_call(opts.cache, [&](detail::FrozenTally& tally) { - return detail::capacity_in_call(g, sources, destinations, opts, tally); +PlacementResult evaluate_demand(const Graph& graph, std::span sources, + std::span destinations, const EvaluationOptions& options) { + return detail::frozen_call(options.cache, [&](detail::FrozenCacheHitTally& tally) { + return detail::evaluate_demand_in_call(graph, sources, destinations, options, tally); }); } -std::vector batch_capacity( - const Graph& g, const std::vector, std::vector>>& pairs, - const QueryOptions& opts, std::span per_pair_elig, std::int32_t workers) { - return detail::frozen_call(opts.cache, [&](detail::FrozenTally& tally) { - return detail::batch_capacity_in_call(g, pairs, opts, per_pair_elig, workers, tally); +std::vector evaluate_pairs( + const Graph& graph, const std::vector, std::vector>>& pairs, + const EvaluationOptions& options, std::span per_pair_eligibility, std::int32_t workers) { + return detail::frozen_call(options.cache, [&](detail::FrozenCacheHitTally& tally) { + return detail::evaluate_pairs_in_call(graph, pairs, options, per_pair_eligibility, workers, tally); }); } -SensitivityResult sensitivity(const Graph& g, std::span sources, - std::span destinations, const QueryOptions& opts, +SensitivityResult evaluate_edge_failures(const Graph& graph, std::span sources, + std::span destinations, const EvaluationOptions& options, std::int32_t workers) { - return detail::frozen_call(opts.cache, [&](detail::FrozenTally& tally) { - return detail::sensitivity_in_call(g, sources, destinations, opts, workers, tally); + return detail::frozen_call(options.cache, [&](detail::FrozenCacheHitTally& tally) { + return detail::evaluate_edge_failures_in_call(graph, sources, destinations, options, workers, tally); }); } diff --git a/src/flow_ledger.cpp b/src/flow_ledger.cpp index 0446dd1..db2549c 100644 --- a/src/flow_ledger.cpp +++ b/src/flow_ledger.cpp @@ -25,72 +25,72 @@ namespace netgraph::core { FlowLedger::FlowLedger(std::shared_ptr graph) { if (!graph) throw std::invalid_argument("FlowLedger: graph is null"); graph_ = std::move(graph); - baseline_.assign(graph_->capacity_units().begin(), graph_->capacity_units().end()); - allocated_.assign(baseline_.size(), 0); + service_baseline_.assign(graph_->edge_capacity_units().begin(), graph_->edge_capacity_units().end()); + carried_.assign(service_baseline_.size(), 0); uid_ = detail::next_uid(); } -FlowLedger::FlowLedger(std::shared_ptr graph, std::span residual) { +FlowLedger::FlowLedger(std::shared_ptr graph, std::span service_baseline) { if (!graph) throw std::invalid_argument("FlowLedger: graph is null"); graph_ = std::move(graph); - baseline_ = checked_baseline(residual, "residual"); - allocated_.assign(baseline_.size(), 0); + service_baseline_ = checked_baseline(service_baseline, "service_baseline"); + carried_.assign(service_baseline_.size(), 0); uid_ = detail::next_uid(); } -FlowLedger::FlowLedger(std::shared_ptr graph, std::span residual, - std::span unreserved) { +FlowLedger::FlowLedger(std::shared_ptr graph, std::span service_baseline, + std::span reservation_baseline) { if (!graph) throw std::invalid_argument("FlowLedger: graph is null"); graph_ = std::move(graph); - baseline_ = checked_baseline(residual, "residual"); - reservation_baseline_ = checked_baseline(unreserved, "unreserved"); - allocated_.assign(baseline_.size(), 0); + service_baseline_ = checked_baseline(service_baseline, "service_baseline"); + reservation_baseline_ = checked_baseline(reservation_baseline, "reservation_baseline"); + carried_.assign(service_baseline_.size(), 0); uid_ = detail::next_uid(); } FlowLedger::FlowLedger(const FlowLedger& other) { other.check_usable(); - if (other.num_bound_ != 0) { + if (other.num_bound_policies_ != 0) { throw std::invalid_argument("FlowLedger: a ledger with bound policies cannot be copied"); } graph_ = other.graph_; uid_ = detail::next_uid(); - baseline_ = other.baseline_; - allocated_ = other.allocated_; + service_baseline_ = other.service_baseline_; + carried_ = other.carried_; reservation_baseline_ = other.reservation_baseline_; reserved_ = other.reserved_; records_ = other.records_; - owner_ids_ = other.owner_ids_; + policy_record_counters_ = other.policy_record_counters_; for (auto& [id, rec] : records_) rec.flow_id = FlowId {uid_, id}; - next_id_ = other.next_id_; - next_owner_ = other.next_owner_; - owners_ = other.owners_; // orphans only + next_record_counter_ = other.next_record_counter_; + next_policy_id_ = other.next_policy_id_; + policy_bindings_ = other.policy_bindings_; // orphans only } FlowLedger::FlowLedger(FlowLedger&& other) { other.check_usable(); - if (other.num_bound_ != 0) { + if (other.num_bound_policies_ != 0) { throw std::invalid_argument("FlowLedger: a ledger with bound policies cannot be moved"); } graph_ = std::move(other.graph_); uid_ = other.uid_; - baseline_ = std::move(other.baseline_); - allocated_ = std::move(other.allocated_); + service_baseline_ = std::move(other.service_baseline_); + carried_ = std::move(other.carried_); reservation_baseline_ = std::move(other.reservation_baseline_); reserved_ = std::move(other.reserved_); records_ = std::move(other.records_); - owner_ids_ = std::move(other.owner_ids_); - next_id_ = other.next_id_; - next_owner_ = other.next_owner_; - owners_ = std::move(other.owners_); + policy_record_counters_ = std::move(other.policy_record_counters_); + next_record_counter_ = other.next_record_counter_; + next_policy_id_ = other.next_policy_id_; + policy_bindings_ = std::move(other.policy_bindings_); other.usable_ = false; - other.baseline_.clear(); - other.allocated_.clear(); + other.service_baseline_.clear(); + other.carried_.clear(); other.reservation_baseline_.clear(); other.reserved_.clear(); other.records_.clear(); - other.owner_ids_.clear(); - other.owners_.clear(); + other.policy_record_counters_.clear(); + other.policy_bindings_.clear(); } void FlowLedger::check_usable() const { @@ -112,31 +112,31 @@ const std::shared_ptr& FlowLedger::graph() const { return graph_; } -std::span FlowLedger::capacity_units() const { +std::span FlowLedger::edge_capacity_units() const { check_usable(); - return graph_->capacity_units(); + return graph_->edge_capacity_units(); } std::vector FlowLedger::residual() const { check_usable(); - std::vector out(baseline_.size()); - for (std::size_t e = 0; e < out.size(); ++e) out[e] = baseline_[e] - allocated_[e]; + std::vector out(service_baseline_.size()); + for (std::size_t e = 0; e < out.size(); ++e) out[e] = service_baseline_[e] - carried_[e]; return out; } -std::vector FlowLedger::allocated() const { +std::vector FlowLedger::carried() const { check_usable(); - return allocated_; + return carried_; } std::vector FlowLedger::reserved() const { check_usable(); - return reserved_.empty() ? std::vector(baseline_.size(), 0) : reserved_; + return reserved_.empty() ? std::vector(service_baseline_.size(), 0) : reserved_; } std::vector FlowLedger::unreserved() const { check_usable(); - std::vector out(baseline_.size()); + std::vector out(service_baseline_.size()); for (std::size_t e = 0; e < out.size(); ++e) out[e] = reservation_at(e) - reserved_at(e); return out; } @@ -163,30 +163,30 @@ FlowRecord FlowLedger::record(const FlowId& flow_id) const { return it->second; } -std::vector FlowLedger::bottleneck(std::span sources, const Eligibility* elig) const { +std::vector FlowLedger::saturated_boundary_edges(std::span sources, const Eligibility* eligibility) const { check_usable(); const auto& g = *graph_; const auto srcs = detail::node_set(sources, g.num_nodes(), "sources"); - if (elig != nullptr && elig->graph_uid() != g.uid()) { + if (eligibility != nullptr && eligibility->graph_uid() != g.uid()) { throw std::invalid_argument("foreign Eligibility: built for another graph"); } - return detail::bottleneck_of(g, residual(), srcs, elig); + return detail::saturated_boundary_edges_of(g, residual(), srcs, eligibility); } namespace detail { -std::vector bottleneck_of(const Graph& g, std::span residual, - std::span sources, const Eligibility* elig) { - const auto n = static_cast(g.num_nodes()); - const auto m = static_cast(g.num_edges()); - const auto edge_src = g.edge_src(); - const auto edge_dst = g.edge_dst(); - const auto capacity = g.capacity_units(); - const auto row = g.row_offsets(); +std::vector saturated_boundary_edges_of(const Graph& graph, std::span residual, + std::span sources, const Eligibility* eligibility) { + const auto n = static_cast(graph.num_nodes()); + const auto m = static_cast(graph.num_edges()); + const auto edge_sources = graph.edge_sources(); + const auto edge_destinations = graph.edge_destinations(); + const auto capacity = graph.edge_capacity_units(); + const auto row = graph.outgoing_offsets(); std::vector seen(n, 0); std::vector stack; for (NodeId s : sources) { - if (elig != nullptr && !elig->node_ok(s)) continue; + if (eligibility != nullptr && !eligibility->allows_node(s)) continue; if (seen[static_cast(s)] != 0) continue; seen[static_cast(s)] = 1; stack.push_back(s); @@ -196,9 +196,9 @@ std::vector bottleneck_of(const Graph& g, std::span residu stack.pop_back(); for (auto e = row[u]; e < row[u + 1]; ++e) { const auto ei = static_cast(e); - if (elig != nullptr && !elig->edge_ok(e)) continue; + if (eligibility != nullptr && !eligibility->allows_edge(e)) continue; if (residual[ei] < 1) continue; - const auto v = static_cast(edge_dst[ei]); + const auto v = static_cast(edge_destinations[ei]); if (seen[v] == 0) { seen[v] = 1; stack.push_back(static_cast(v)); @@ -207,8 +207,8 @@ std::vector bottleneck_of(const Graph& g, std::span residu } std::vector out; for (std::size_t e = 0; e < m; ++e) { - if (seen[static_cast(edge_src[e])] == 0 || seen[static_cast(edge_dst[e])] != 0) continue; - if (elig != nullptr && !elig->edge_ok(static_cast(e))) continue; + if (seen[static_cast(edge_sources[e])] == 0 || seen[static_cast(edge_destinations[e])] != 0) continue; + if (eligibility != nullptr && !eligibility->allows_edge(static_cast(e))) continue; if (capacity[e] < 1) continue; out.push_back(static_cast(e)); } @@ -219,39 +219,39 @@ std::vector bottleneck_of(const Graph& g, std::span residu void FlowLedger::reset() { check_usable(); - reset(graph_->capacity_units()); + reset(graph_->edge_capacity_units()); } -void FlowLedger::reset(std::span residual) { +void FlowLedger::reset(std::span service_baseline) { check_usable(); check_resettable(); - install(checked_baseline(residual, "residual"), {}); + install(checked_baseline(service_baseline, "service_baseline"), {}); } -void FlowLedger::reset(std::span residual, std::span unreserved) { +void FlowLedger::reset(std::span service_baseline, std::span reservation_baseline) { check_usable(); check_resettable(); - auto baseline = checked_baseline(residual, "residual"); - install(std::move(baseline), checked_baseline(unreserved, "unreserved")); + auto baseline = checked_baseline(service_baseline, "service_baseline"); + install(std::move(baseline), checked_baseline(reservation_baseline, "reservation_baseline")); } void FlowLedger::check_resettable() const { - if (num_bound_ != 0) { + if (num_bound_policies_ != 0) { throw std::invalid_argument("FlowLedger.reset is rejected while a policy is bound (" + - std::to_string(num_bound_) + " bound)"); + std::to_string(num_bound_policies_) + " bound)"); } } // The new baselines (an empty reservation: the capacities) and no records; allocated_ keeps its // size, so nothing here allocates. void FlowLedger::install(std::vector baseline, std::vector reservation) { - allocated_.assign(baseline.size(), 0); + carried_.assign(baseline.size(), 0); reserved_.clear(); - baseline_ = std::move(baseline); + service_baseline_ = std::move(baseline); reservation_baseline_ = std::move(reservation); records_.clear(); - owner_ids_.clear(); - owners_.clear(); + policy_record_counters_.clear(); + policy_bindings_.clear(); } namespace detail { @@ -273,29 +273,29 @@ bool is_bound(const std::map& owners, std::int64_t owner) { template class DeltaScratch { public: - explicit DeltaScratch(std::size_t num_edges) : s_(storage()) { - s_.touched.clear(); - if (s_.slot.size() < num_edges) s_.slot.resize(num_edges); // strong guarantee; new stamps 0 - if (++s_.epoch == 0) { - for (auto& x : s_.slot) x.stamp = 0; - s_.epoch = 1; + explicit DeltaScratch(std::size_t num_edges) : storage_(storage()) { + storage_.touched.clear(); + if (storage_.slot.size() < num_edges) storage_.slot.resize(num_edges); // strong guarantee; new stamps 0 + if (++storage_.generation == 0) { + for (auto& x : storage_.slot) x.stamp = 0; + storage_.generation = 1; } } DeltaScratch(const DeltaScratch&) = delete; DeltaScratch& operator=(const DeltaScratch&) = delete; - ~DeltaScratch() { s_.touched.clear(); } + ~DeltaScratch() { storage_.touched.clear(); } void add(EdgeId e, Amount x) { - auto& slot = s_.slot[static_cast(e)]; - if (slot.stamp != s_.epoch) { - s_.touched.push_back(e); // may throw: the slot is left untouched in this commit - slot.stamp = s_.epoch; + auto& slot = storage_.slot[static_cast(e)]; + if (slot.stamp != storage_.generation) { + storage_.touched.push_back(e); // may throw: the slot is left untouched in this commit + slot.stamp = storage_.generation; slot.delta = 0; } slot.delta += x; } // Each touched edge once, in first-touch order. - [[nodiscard]] const std::vector& touched() const noexcept { return s_.touched; } - [[nodiscard]] Amount at(EdgeId e) const noexcept { return s_.slot[static_cast(e)].delta; } + [[nodiscard]] const std::vector& touched() const noexcept { return storage_.touched; } + [[nodiscard]] Amount at(EdgeId e) const noexcept { return storage_.slot[static_cast(e)].delta; } private: struct Slot { @@ -305,22 +305,22 @@ class DeltaScratch { struct Storage { std::vector slot; std::vector touched; - std::uint32_t epoch {0}; + std::uint32_t generation {0}; }; static Storage& storage() { thread_local Storage st; return st; } - Storage& s_; + Storage& storage_; }; -FlowRecord record_of(std::uint64_t uid, std::int64_t id, std::int64_t owner, Draft& d) { +FlowRecord record_of(std::uint64_t uid, std::int64_t id, std::int64_t owner, RecordDraft& d) { FlowRecord rec = std::move(d.record); rec.flow_id = FlowId {uid, id}; - rec.owner = owner; - std::erase_if(rec.edges, [](const auto& p) { return p.second == 0; }); - std::erase_if(rec.drops, [](const auto& p) { return p.second.is_zero(); }); - std::erase_if(rec.reserved_edges, [](const auto& p) { return p.second == 0; }); + rec.policy_id = owner; + std::erase_if(rec.edge_flows, [](const auto& p) { return p.second == 0; }); + std::erase_if(rec.edge_drops, [](const auto& p) { return p.second.is_zero(); }); + std::erase_if(rec.edge_reservations, [](const auto& p) { return p.second == 0; }); return rec; } @@ -330,102 +330,102 @@ static_assert(std::is_nothrow_swappable_v>); } // namespace -std::int64_t LedgerAccess::bind(FlowLedger& fg) { - fg.check_usable(); - const std::int64_t owner = fg.next_owner_; - fg.owners_.emplace(owner, true); // the only allocation: nothing changes if it throws - ++fg.next_owner_; - ++fg.num_bound_; +std::int64_t LedgerAccess::bind(FlowLedger& ledger) { + ledger.check_usable(); + const std::int64_t owner = ledger.next_policy_id_; + ledger.policy_bindings_.emplace(owner, true); // the only allocation: nothing changes if it throws + ++ledger.next_policy_id_; + ++ledger.num_bound_policies_; return owner; } -void LedgerAccess::release(FlowLedger& fg, std::int64_t owner) noexcept { - const auto it = fg.owners_.find(owner); - if (it == fg.owners_.end() || !it->second) return; +void LedgerAccess::release(FlowLedger& ledger, std::int64_t owner) noexcept { + const auto it = ledger.policy_bindings_.find(owner); + if (it == ledger.policy_bindings_.end() || !it->second) return; it->second = false; - --fg.num_bound_; + --ledger.num_bound_policies_; } -std::vector LedgerAccess::detach(FlowLedger& fg, std::int64_t owner) { - fg.check_usable(); - if (!is_bound(fg.owners_, owner)) throw std::logic_error("ledger: detach by an unbound owner"); +std::vector LedgerAccess::detach(FlowLedger& ledger, std::int64_t owner) { + ledger.check_usable(); + if (!is_bound(ledger.policy_bindings_, owner)) throw std::logic_error("ledger: detach by an unbound owner"); std::vector ids; - const auto it = fg.owner_ids_.find(owner); - if (it == fg.owner_ids_.end()) return ids; + const auto it = ledger.policy_record_counters_.find(owner); + if (it == ledger.policy_record_counters_.end()) return ids; // Nothing below allocates: the index vector moves out, its node and the records are erased. ids = std::move(it->second); - fg.owner_ids_.erase(it); + ledger.policy_record_counters_.erase(it); for (std::int64_t id : ids) { - const auto rec = fg.records_.find(id); - for (const auto& [e, x] : rec->second.edges) fg.allocated_[static_cast(e)] -= x; - for (const auto& [e, x] : rec->second.reserved_edges) fg.reserved_[static_cast(e)] -= x; - fg.records_.erase(rec); + const auto rec = ledger.records_.find(id); + for (const auto& [e, x] : rec->second.edge_flows) ledger.carried_[static_cast(e)] -= x; + for (const auto& [e, x] : rec->second.edge_reservations) ledger.reserved_[static_cast(e)] -= x; + ledger.records_.erase(rec); } return ids; } -std::vector LedgerAccess::commit(FlowLedger& fg, std::int64_t owner, std::span drafts) { - return commit_drafts(fg, owner, drafts, false); +std::vector LedgerAccess::commit(FlowLedger& ledger, std::int64_t owner, std::span drafts) { + return commit_drafts(ledger, owner, drafts, false); } -std::vector LedgerAccess::exchange(FlowLedger& fg, std::int64_t owner, std::span drafts) { - return commit_drafts(fg, owner, drafts, true); +std::vector LedgerAccess::exchange(FlowLedger& ledger, std::int64_t owner, std::span drafts) { + return commit_drafts(ledger, owner, drafts, true); } -std::vector LedgerAccess::commit_drafts(FlowLedger& fg, std::int64_t owner, std::span drafts, +std::vector LedgerAccess::commit_drafts(FlowLedger& ledger, std::int64_t owner, std::span drafts, bool retire) { - fg.check_usable(); - if (!is_bound(fg.owners_, owner)) throw std::logic_error("ledger: commit by an unbound owner"); + ledger.check_usable(); + if (!is_bound(ledger.policy_bindings_, owner)) throw std::logic_error("ledger: commit by an unbound owner"); // The drafts carry exactly the owner's live records plus new ones (retire: only new ones, every // live record is retired). - const auto owned = fg.owner_ids_.find(owner); - const std::size_t num_current = owned == fg.owner_ids_.end() ? 0 : owned->second.size(); - if (owned == fg.owner_ids_.end() && drafts.size() == 1 && !drafts[0].id.has_value() && - drafts[0].record.reserved_edges.empty() && - std::adjacent_find(drafts[0].record.edges.begin(), drafts[0].record.edges.end(), + const auto owned = ledger.policy_record_counters_.find(owner); + const std::size_t num_current = owned == ledger.policy_record_counters_.end() ? 0 : owned->second.size(); + if (owned == ledger.policy_record_counters_.end() && drafts.size() == 1 && !drafts[0].record_counter.has_value() && + drafts[0].record.edge_reservations.empty() && + std::adjacent_find(drafts[0].record.edge_flows.begin(), drafts[0].record.edge_flows.end(), [](const auto& a, const auto& b) { return a.first >= b.first; }) == - drafts[0].record.edges.end()) { + drafts[0].record.edge_flows.end()) { // One new record without holds for an owner without live records (a fresh placement), its // edges strictly ascending: each touched edge's delta is the draft's own amount, touched in the draft's order, // so the checks below run on the draft itself, in the general path's order and with its // messages (negative amounts first, then feasibility edge by edge); the staging and the // publication are the general path's for one new record. - Draft& d = drafts[0]; - for (const auto& [e, x] : d.record.edges) { + RecordDraft& d = drafts[0]; + for (const auto& [e, x] : d.record.edge_flows) { if (x < 0) throw std::logic_error("ledger: a negative allocation in a commit"); } - for (const auto& [e, x] : d.record.edges) { + for (const auto& [e, x] : d.record.edge_flows) { const auto ei = static_cast(e); - const Amount next = fg.allocated_[ei] + x; - if (next < 0 || next > fg.baseline_[ei]) { + const Amount next = ledger.carried_[ei] + x; + if (next < 0 || next > ledger.service_baseline_[ei]) { throw std::logic_error("ledger: infeasible commit on edge " + std::to_string(e) + " (" + - std::to_string(next) + " of " + std::to_string(fg.baseline_[ei]) + ")"); + std::to_string(next) + " of " + std::to_string(ledger.service_baseline_[ei]) + ")"); } } std::vector created; created.reserve(1); std::vector live; live.reserve(1); - const std::int64_t id = fg.next_id_; + const std::int64_t id = ledger.next_record_counter_; std::map fresh; - const auto node = fresh.emplace_hint(fresh.end(), id, record_of(fg.uid_, id, owner, d)); - created.emplace_back(fg.uid_, id); + const auto node = fresh.emplace_hint(fresh.end(), id, record_of(ledger.uid_, id, owner, d)); + created.emplace_back(ledger.uid_, id); live.push_back(id); std::map> index_node; index_node.emplace(owner, std::move(live)); // Publication: nothing below allocates or throws (the record's dropped zero entries add // nothing). - for (const auto& [e, x] : node->second.edges) fg.allocated_[static_cast(e)] += x; - fg.records_.merge(fresh); - fg.owner_ids_.merge(index_node); - fg.next_id_ = id + 1; + for (const auto& [e, x] : node->second.edge_flows) ledger.carried_[static_cast(e)] += x; + ledger.records_.merge(fresh); + ledger.policy_record_counters_.merge(index_node); + ledger.next_record_counter_ = id + 1; return created; } std::vector kept; std::size_t num_new = 0; for (const auto& d : drafts) { - if (d.id.has_value()) { - kept.push_back(*d.id); + if (d.record_counter.has_value()) { + kept.push_back(*d.record_counter); } else { ++num_new; } @@ -440,44 +440,44 @@ std::vector LedgerAccess::commit_drafts(FlowLedger& fg, std::int64_t own // in), checked before anything changes: carried loads against the service baseline, then holds // against the reservation baseline (each below 2^62, so a sum of two stays below 2^63). Holds are // gathered only when some record has one. - DeltaScratch<0> delta(fg.allocated_.size()); + DeltaScratch<0> delta(ledger.carried_.size()); bool holds = false; if (num_current != 0) { for (std::int64_t id : owned->second) { - const FlowRecord& r = fg.records_.at(id); - for (const auto& [e, x] : r.edges) delta.add(e, -x); - holds = holds || !r.reserved_edges.empty(); + const FlowRecord& r = ledger.records_.at(id); + for (const auto& [e, x] : r.edge_flows) delta.add(e, -x); + holds = holds || !r.edge_reservations.empty(); } } bool negative = false; for (const auto& d : drafts) { const FlowRecord& r = d.record; - for (const auto& [e, x] : r.edges) { + for (const auto& [e, x] : r.edge_flows) { negative = negative || x < 0; delta.add(e, x); } - holds = holds || !r.reserved_edges.empty(); + holds = holds || !r.edge_reservations.empty(); } if (negative) throw std::logic_error("ledger: a negative allocation in a commit"); for (EdgeId e : delta.touched()) { const auto ei = static_cast(e); - const Amount next = fg.allocated_[ei] + delta.at(e); - if (next < 0 || next > fg.baseline_[ei]) { + const Amount next = ledger.carried_[ei] + delta.at(e); + if (next < 0 || next > ledger.service_baseline_[ei]) { throw std::logic_error("ledger: infeasible commit on edge " + std::to_string(e) + " (" + std::to_string(next) + - " of " + std::to_string(fg.baseline_[ei]) + ")"); + " of " + std::to_string(ledger.service_baseline_[ei]) + ")"); } } std::optional> held; if (holds) { - held.emplace(fg.allocated_.size()); + held.emplace(ledger.carried_.size()); if (num_current != 0) { for (std::int64_t id : owned->second) { - for (const auto& [e, x] : fg.records_.at(id).reserved_edges) held->add(e, -x); + for (const auto& [e, x] : ledger.records_.at(id).edge_reservations) held->add(e, -x); } } bool negative_hold = false; for (const auto& d : drafts) { - for (const auto& [e, x] : d.record.reserved_edges) { + for (const auto& [e, x] : d.record.edge_reservations) { negative_hold = negative_hold || x < 0; held->add(e, x); } @@ -485,10 +485,10 @@ std::vector LedgerAccess::commit_drafts(FlowLedger& fg, std::int64_t own if (negative_hold) throw std::logic_error("ledger: a negative hold in a commit"); for (EdgeId e : held->touched()) { const auto ei = static_cast(e); - const Amount next = fg.reserved_at(ei) + held->at(e); - if (next < 0 || next > fg.reservation_at(ei)) { + const Amount next = ledger.reserved_at(ei) + held->at(e); + if (next < 0 || next > ledger.reservation_at(ei)) { throw std::logic_error("ledger: infeasible reservation on edge " + std::to_string(e) + " (" + - std::to_string(next) + " of " + std::to_string(fg.reservation_at(ei)) + ")"); + std::to_string(next) + " of " + std::to_string(ledger.reservation_at(ei)) + ")"); } } } @@ -496,7 +496,7 @@ std::vector LedgerAccess::commit_drafts(FlowLedger& fg, std::int64_t own // 2. Every allocation of the publication, staged: the holds' storage on the first hold (all // zero, as the empty storage reads), the records (new ones as map nodes), the owner's index node, // the returned ids and the next id. A throw here changes nothing. - if (held.has_value() && fg.reserved_.empty()) fg.reserved_.assign(fg.allocated_.size(), 0); + if (held.has_value() && ledger.reserved_.empty()) ledger.reserved_.assign(ledger.carried_.size(), 0); std::vector created; created.reserve(num_new); std::vector live; // the owner's new index, when it gains ids @@ -509,74 +509,74 @@ std::vector LedgerAccess::commit_drafts(FlowLedger& fg, std::int64_t own std::vector::iterator> retired; if (retire && num_current != 0) { retired.reserve(num_current); - for (std::int64_t id : owned->second) retired.push_back(fg.records_.find(id)); + for (std::int64_t id : owned->second) retired.push_back(ledger.records_.find(id)); } std::vector::iterator> targets; std::vector updated; targets.reserve(kept.size()); updated.reserve(kept.size()); std::map fresh; - std::int64_t next_id = fg.next_id_; + std::int64_t next_id = ledger.next_record_counter_; for (auto& d : drafts) { - if (d.id.has_value()) { - targets.push_back(fg.records_.find(*d.id)); - updated.push_back(record_of(fg.uid_, *d.id, owner, d)); + if (d.record_counter.has_value()) { + targets.push_back(ledger.records_.find(*d.record_counter)); + updated.push_back(record_of(ledger.uid_, *d.record_counter, owner, d)); } else { const std::int64_t id = next_id++; - fresh.emplace_hint(fresh.end(), id, record_of(fg.uid_, id, owner, d)); - created.emplace_back(fg.uid_, id); + fresh.emplace_hint(fresh.end(), id, record_of(ledger.uid_, id, owner, d)); + created.emplace_back(ledger.uid_, id); live.push_back(id); } } std::map> index_node; - if (owned == fg.owner_ids_.end() && !live.empty()) index_node.emplace(owner, std::move(live)); + if (owned == ledger.policy_record_counters_.end() && !live.empty()) index_node.emplace(owner, std::move(live)); // 3. Publication: nothing below allocates or throws (map nodes are spliced, not copied). - for (EdgeId e : delta.touched()) fg.allocated_[static_cast(e)] += delta.at(e); + for (EdgeId e : delta.touched()) ledger.carried_[static_cast(e)] += delta.at(e); if (held.has_value()) { - for (EdgeId e : held->touched()) fg.reserved_[static_cast(e)] += held->at(e); + for (EdgeId e : held->touched()) ledger.reserved_[static_cast(e)] += held->at(e); } for (std::size_t i = 0; i < targets.size(); ++i) targets[i]->second = std::move(updated[i]); - for (const auto& it : retired) fg.records_.erase(it); - fg.records_.merge(fresh); + for (const auto& it : retired) ledger.records_.erase(it); + ledger.records_.merge(fresh); if (num_new != 0) { - if (owned != fg.owner_ids_.end()) { + if (owned != ledger.policy_record_counters_.end()) { owned->second.swap(live); } else { - fg.owner_ids_.merge(index_node); + ledger.policy_record_counters_.merge(index_node); } - } else if (retire && owned != fg.owner_ids_.end()) { - fg.owner_ids_.erase(owned); + } else if (retire && owned != ledger.policy_record_counters_.end()) { + ledger.policy_record_counters_.erase(owned); } - fg.next_id_ = next_id; + ledger.next_record_counter_ = next_id; return created; } -const FlowRecord& LedgerAccess::live(const FlowLedger& fg, std::int64_t id) { - const auto it = fg.records_.find(id); - if (it == fg.records_.end()) throw std::invalid_argument("ledger: retired or unknown flow id " + std::to_string(id)); +const FlowRecord& LedgerAccess::live(const FlowLedger& ledger, std::int64_t id) { + const auto it = ledger.records_.find(id); + if (it == ledger.records_.end()) throw std::invalid_argument("ledger: retired or unknown flow id " + std::to_string(id)); return it->second; } -void LedgerAccess::residual_into(const FlowLedger& fg, std::vector& out) { - fg.check_usable(); - out.resize(fg.baseline_.size()); - for (std::size_t e = 0; e < out.size(); ++e) out[e] = fg.baseline_[e] - fg.allocated_[e]; +void LedgerAccess::residual_into(const FlowLedger& ledger, std::vector& out) { + ledger.check_usable(); + out.resize(ledger.service_baseline_.size()); + for (std::size_t e = 0; e < out.size(); ++e) out[e] = ledger.service_baseline_[e] - ledger.carried_[e]; } -std::span LedgerAccess::baseline(const FlowLedger& fg) { - fg.check_usable(); - return fg.baseline_; +std::span LedgerAccess::baseline(const FlowLedger& ledger) { + ledger.check_usable(); + return ledger.service_baseline_; } -std::span LedgerAccess::allocated(const FlowLedger& fg) { - fg.check_usable(); - return fg.allocated_; +std::span LedgerAccess::carried(const FlowLedger& ledger) { + ledger.check_usable(); + return ledger.carried_; } std::span LedgerAccess::reservation_baseline(const FlowLedger& fg) { fg.check_usable(); - if (fg.reservation_baseline_.empty()) return fg.graph_->capacity_units(); + if (fg.reservation_baseline_.empty()) return fg.graph_->edge_capacity_units(); return fg.reservation_baseline_; } @@ -587,28 +587,28 @@ std::span LedgerAccess::reserved(const FlowLedger& fg) { std::vector& LedgerAccess::reserved_storage(FlowLedger& fg) { fg.check_usable(); - if (fg.reserved_.empty()) fg.reserved_.assign(fg.allocated_.size(), 0); + if (fg.reserved_.empty()) fg.reserved_.assign(fg.carried_.size(), 0); return fg.reserved_; } -std::int64_t LedgerAccess::next_flow_id(const FlowLedger& fg) { - fg.check_usable(); - return fg.next_id_; +std::int64_t LedgerAccess::next_record_counter(const FlowLedger& ledger) { + ledger.check_usable(); + return ledger.next_record_counter_; } -std::vector LedgerAccess::bound_owners(const FlowLedger& fg) { - fg.check_usable(); +std::vector LedgerAccess::bound_policy_ids(const FlowLedger& ledger) { + ledger.check_usable(); std::vector out; - for (const auto& [owner, bound] : fg.owners_) { + for (const auto& [owner, bound] : ledger.policy_bindings_) { if (bound) out.push_back(owner); } return out; } -std::vector LedgerAccess::orphan_owners(const FlowLedger& fg) { - fg.check_usable(); +std::vector LedgerAccess::orphan_policy_ids(const FlowLedger& ledger) { + ledger.check_usable(); std::vector out; - for (const auto& [owner, bound] : fg.owners_) { + for (const auto& [owner, bound] : ledger.policy_bindings_) { if (!bound) out.push_back(owner); } return out; diff --git a/src/flow_policy.cpp b/src/flow_policy.cpp index 80cb6a0..f034178 100644 --- a/src/flow_policy.cpp +++ b/src/flow_policy.cpp @@ -8,40 +8,40 @@ ledger commit, then the epoch); evaluate discards it. The change flags compare the program the policy had installed with the call's. - * CostOnly EqualBalanced and Weighted (place_pooled): the epoch's first positive call (or a + * ShortestPaths Equal and Weighted (place_pooled): the epoch's first positive call (or a replace) prepares every roster source's route on the working residual at its entry and joins them into the program's one pooled split context, a plan rooted at the whole roster (a router reached by several sources splits their added traffic once). Weighted weights come from the configured basis (capacity, explicit edge weights, or the free capacity read then and frozen). - Lossless admits the largest total of the equal origin whose no-drop forwarding fits V = W + + Lossless admits the largest total of the equal source allocation whose no-drop forwarding fits V = W + own; Lossy forwards the round-robin increments of the offer on W. The amounts are attributed back to the sources (kernels' forward()). - * The controllers (place_controller): unrestricted Global over every eligible edge, Global with a - support over that support trimmed, CostOnly MaxFlow over the union of the roster's routes + * The controllers (place_optimized_flow): unrestricted CentralizedTE over every eligible edge, CentralizedTE with a + support over that support trimmed, ShortestPaths Optimized over the union of the roster's routes (prepared as above). A minimum-cost flow of the cumulative value on V = W + own, from one - virtual source (the optimized origin) or with source i's arc capped at its round-robin share of - the largest total whose shares all fit (the equal origin, integer bisection), cut into paths + virtual source (the optimized source allocation) or with source i's arc capped at its round-robin share of + the largest total whose shares all fit (the equal source allocation, integer bisection), cut into paths per source (decompose()): the program, each path a tunnel weighted by its amount; each source's record is the sum of its paths. * Pinned (place_pinned): forwarding its program as the policy's view replays it under its mask with its black holes, through the forwarding engine (forwarding.hpp), one record per program entry (forward_entries); forward() (forward_installed) forwards a computing model's installed program the same way, with records per roster source. - * T1 (place_t1): replace and evaluate set up the tunnels (tunnels_t1.cpp) on the unreserved view - with the policy's own holds released, build the program of 8.1 and forward it like a Pinned + * T1 (apply_distributed_te_call): replace and evaluate set up the tunnels (distributed_te.cpp) on the unreserved view + with the policy's own holds released, build the tunnel program and forward it like a Pinned program, one record per entry, each up tunnel's record holding its request on its path. - * T2 (place_t2): replace and evaluate lay out the tunnels (tunnels_t2.cpp) on the residual with - the policy's own traffic released, build the program of 8.1 (dead heads keep their roster + * T2 (place_t2): replace and evaluate lay out the tunnels (centralized_te_tunnels.cpp) on the residual with + the policy's own traffic released, build the tunnel program (dead heads keep their roster place), take its lossless bound as the plan's forwarding bound and forward it the same way; a plan books nothing. * The tunnel models' forward() (forward_tunnels) forwards the installed program the same way, keeping its plan and T1's holds. Work on copies and publish all changes together; an exception leaves ledger and policy intact. - Store only changes to ledger residual in per-thread slots. Unrestricted Global reads a dense + Store only changes to ledger residual in per-thread slots. Unrestricted CentralizedTE reads a dense residual and solves over every edge (its view and flows per EdgeId); the other controllers gather their view over their support and keep their flows aligned with it. T1's setup reads a - dense unreserved view; CostOnly preparation reads the working residual edge by edge. + dense unreserved view; ShortestPaths preparation reads the working residual edge by edge. The transaction trace (the call's intermediate values, keyed as the tests' model of the policy keys them) exists in a build with the private hooks only: every @@ -59,18 +59,18 @@ #include "netgraph/core/detail/cache_access.hpp" #include "netgraph/core/detail/endpoints.hpp" #include "netgraph/core/detail/enum_domain.hpp" -#include "netgraph/core/detail/flow_core.hpp" +#include "netgraph/core/detail/min_cost_flow.hpp" #include "netgraph/core/detail/forwarding.hpp" #include "netgraph/core/detail/int128.hpp" -#include "netgraph/core/detail/kernels.hpp" +#include "netgraph/core/detail/route_kernels.hpp" #include "netgraph/core/detail/ledger_access.hpp" #include "netgraph/core/detail/policy_engine.hpp" -#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/detail/route_builders.hpp" #include "netgraph/core/detail/private_hooks.hpp" #include "netgraph/core/detail/program_data.hpp" #include "netgraph/core/detail/trace.hpp" -#include "netgraph/core/detail/traversal.hpp" -#include "netgraph/core/detail/tunnels.hpp" +#include "netgraph/core/detail/search_detail.hpp" +#include "netgraph/core/detail/tunnel_setup.hpp" namespace netgraph::core { @@ -80,34 +80,34 @@ namespace { // ================================================================ working residual -// W = baseline - allocated + delta; delta holds this call's releases and new allocations. +// W = service baseline - carried() + delta; delta holds this call's releases and new allocations. // Each call advances a scratch epoch (a numeric stamp, separate from the policy epoch). // Read a slot only when its stamp matches; later calls ignore stale slots even after a throw. // Clear all stamps only on wraparound (after 2^32 calls on one thread, which a long-running // process reaches). Slots share one per-thread array, so failed growth leaves the old array // intact. -class Working { +class ServiceCapacityWorkspace { public: - explicit Working(const FlowLedger& fg) - : s_(storage()), base_(LedgerAccess::baseline(fg)), held_(LedgerAccess::allocated(fg)) { - if (s_.slot.size() < base_.size()) s_.slot.resize(base_.size()); - if (++s_.epoch == 0) { - for (auto& x : s_.slot) x.stamp = 0; - s_.epoch = 1; + explicit ServiceCapacityWorkspace(const FlowLedger& ledger) + : storage_(storage()), service_baseline_(LedgerAccess::baseline(ledger)), carried_(LedgerAccess::carried(ledger)) { + if (storage_.slot.size() < service_baseline_.size()) storage_.slot.resize(service_baseline_.size()); + if (++storage_.generation == 0) { + for (auto& x : storage_.slot) x.stamp = 0; + storage_.generation = 1; } } - Working(const Working&) = delete; - Working& operator=(const Working&) = delete; + ServiceCapacityWorkspace(const ServiceCapacityWorkspace&) = delete; + ServiceCapacityWorkspace& operator=(const ServiceCapacityWorkspace&) = delete; [[nodiscard]] Amount at(EdgeId e) const noexcept { const auto ei = static_cast(e); - const auto& x = s_.slot[ei]; - return base_[ei] - held_[ei] + (x.stamp == s_.epoch ? x.delta : 0); + const auto& x = storage_.slot[ei]; + return service_baseline_[ei] - carried_[ei] + (x.stamp == storage_.generation ? x.delta : 0); } void add(EdgeId e, Amount v) noexcept { - auto& x = s_.slot[static_cast(e)]; - if (x.stamp != s_.epoch) { - x.stamp = s_.epoch; + auto& x = storage_.slot[static_cast(e)]; + if (x.stamp != storage_.generation) { + x.stamp = storage_.generation; x.delta = 0; } x.delta += v; @@ -117,19 +117,19 @@ class Working { out.resize(members.size()); for (std::size_t m = 0; m < members.size(); ++m) out[m] = at(members[m]); } - // The dense working residual (searches, Global, traces). + // The dense working residual (searches, CentralizedTE, traces). void dense(std::vector& out) const { - out.resize(base_.size()); + out.resize(service_baseline_.size()); for (std::size_t e = 0; e < out.size(); ++e) { - const auto& x = s_.slot[e]; - out[e] = base_[e] - held_[e] + (x.stamp == s_.epoch ? x.delta : 0); + const auto& x = storage_.slot[e]; + out[e] = service_baseline_[e] - carried_[e] + (x.stamp == storage_.generation ? x.delta : 0); } } // The policy's own carried load released (the view of a full-offer call): its live records' // edges added back. void release_records(std::span records) noexcept { for (const FlowRecord* r : records) { - for (const auto& [e, x] : r->edges) add(e, x); + for (const auto& [e, x] : r->edge_flows) add(e, x); } } @@ -140,15 +140,15 @@ class Working { }; struct Storage { std::vector slot; - std::uint32_t epoch {0}; + std::uint32_t generation {0}; }; static Storage& storage() { thread_local Storage st; return st; } - Storage& s_; - std::span base_; - std::span held_; + Storage& storage_; + std::span service_baseline_; + std::span carried_; }; // ================================================================ small helpers @@ -196,112 +196,114 @@ void cumulative_offers(const Counter128& requested, Amount v, std::size_t k, Off for (std::size_t i = 0; i < k; ++i) offer(i, base + (i < extra ? 1 : 0) - (i < r ? 1 : 0)); } -// A CostOnly preparation's inputs: the policy, its graph and the call's working residual. -struct Call { - const PolicyEngine& pe; - const Graph& g; - Working& W; +// A ShortestPaths preparation's inputs: the policy, its graph and the call's working residual. +struct PolicyCallContext { + const PolicyEngine& engine; + const Graph& graph; + ServiceCapacityWorkspace& service_capacity; }; // ================================================================ routes and plans -struct Route { +struct RouteSupport { std::vector edges {}; // ascending Cost cost {kUnreachable}; }; -// The priority values of the creation view W, as the selection reads them (CostOnly). The -// PriorityFn of `on_w` points at this view: it must outlive every call through that PriorityFn. +// The edge scores of the creation view W, as the route choice reads them (ShortestPaths). The +// PriorityReader of `as_priority_reader` points at this view: it must outlive every call through it. struct WorkingPriority { - const Working* W; + const ServiceCapacityWorkspace* service_capacity; std::span capacity; - EdgePriority priority; - [[nodiscard]] PriorityFn on_w() const noexcept { + RouteTieBreak tie_break; + [[nodiscard]] PriorityReader as_priority_reader() const noexcept { return {this, [](const void* ctx, EdgeId e) noexcept { const auto& v = *static_cast(ctx); - return priority_value(v.priority, v.W->at(e), v.capacity[static_cast(e)]); + return priority_value(v.tie_break, v.service_capacity->at(e), v.capacity[static_cast(e)]); }}; } }; -// The record bundle of a route: `share` itself when it is the whole route, else a new DAG. -std::shared_ptr bundle_of(const Graph& g, std::span route, - const std::shared_ptr& share) { - if (share && PredDAGBuilder::ascending(*share).size() == route.size()) return share; - return std::make_shared(PredDAGBuilder::of_edges(g, route)); -} - -// CostOnly: keep static shortest-path support reachable from src, then apply selection on W. -// For multi_edge = false (Collapse), choose one edge per (u, v) by (cost, higher priority under -// PreferHigherPriority, lowest EdgeId). For multipath = false, choose the canonical single -// path in stages. Both use W's priority values without excluding edges for low residual. -Route cost_only_route(const Call& c, NodeId src) { - const auto& g = c.g; - const auto& pe = c.pe; - const auto& sel = pe.selection; - const WorkingPriority view {&c.W, g.capacity_units(), sel.priority}; - auto r = support_route(g, PredDAGBuilder::ascending(*pe.support), src, pe.dests_ok, sel, view.on_w()); - Route out; +// The record route of a route: `share` itself when it is the whole route, else a new DAG. +std::shared_ptr record_route_of(const Graph& graph, std::span route, + const std::shared_ptr& share) { + if (share && PredecessorDAGBuilder::ascending(*share).size() == route.size()) return share; + return std::make_shared(PredecessorDAGBuilder::of_edges(graph, route)); +} + +// ShortestPaths: keep static shortest-path support reachable from source, then apply the route choice on W. +// For parallel_edges = false (Collapse), choose one edge per (u, v) by (cost, higher tie value under +// a HIGHER_* tie_break, lowest EdgeId). For multipath = false, choose the canonical single +// path in stages. Both use W's tie values without excluding edges for low residual. +RouteSupport shortest_path_support(const PolicyCallContext& c, NodeId source) { + const auto& g = c.graph; + const auto& pe = c.engine; + const auto& choice = pe.route_choice; + const WorkingPriority view {&c.service_capacity, g.edge_capacity_units(), choice.tie_break}; + auto r = support_route(g, PredecessorDAGBuilder::ascending(*pe.support), source, pe.allowed_destinations, choice, view.as_priority_reader()); + RouteSupport out; out.edges = std::move(r.edges); - if (sel.single_path() && !out.edges.empty()) out.cost = r.cost; + if (choice.single_path() && !out.edges.empty()) out.cost = r.cost; return out; } -// CostOnly Weighted's static weight source (Capacity or Explicit; ResidualSnapshot reads the view +// ShortestPaths Weighted's static weight source (Capacity or Explicit; ResidualSnapshot reads the view // at preparation and is made there). -WeightSource cost_only_weights(const PolicyEngine& pe) noexcept { - if (pe.config.weights == WeightBasis::Explicit) return {WeightBasis::Explicit, *pe.config.edge_weights}; - return {pe.config.weights.value_or(WeightBasis::Capacity), {}}; +WeightSource shortest_path_weight_source(const PolicyEngine& pe) noexcept { + const auto& sp = std::get(pe.config.routing); + if (sp.weight_basis == WeightBasis::Explicit) return {WeightBasis::Explicit, *sp.edge_weights}; + return {sp.weight_basis.value_or(WeightBasis::Capacity), {}}; } -// CostOnly's creation products in one pass (kernels' cost_only_creation, identical to -// cost_only_route, bundle_of and the plan where it applies); nullopt elsewhere. -std::optional creation_products(const Call& c, NodeId src) { - const auto& pe = c.pe; - const auto& sel = pe.selection; - const WorkingPriority view {&c.W, c.g.capacity_units(), sel.priority}; - return cost_only_creation(c.g, pe.support, src, pe.dests_ok, sel, view.on_w(), *pe.config.placement, - pe.config.admission, cost_only_weights(pe)); +// ShortestPaths's creation products in one pass (prepare_shortest_paths, identical to +// shortest_path_support, record_route_of and the plan where it applies); nullopt elsewhere. +std::optional creation_products(const PolicyCallContext& c, NodeId source) { + const auto& pe = c.engine; + const auto& choice = pe.route_choice; + const WorkingPriority view {&c.service_capacity, c.graph.edge_capacity_units(), choice.tie_break}; + return prepare_shortest_paths(c.graph, pe.support, source, pe.allowed_destinations, choice, view.as_priority_reader(), std::get(pe.config.routing).allocation, + pe.config.admission, shortest_path_weight_source(pe)); } // ---------------------------------------------------------------- outputs // The optional outputs of a call whose policy records become `after`, computed before the commit // (so nothing allocates once the ledger changed): edge_flows = the policy's own allocation after -// the call, residual = the ledger's after it (now + own before - own after), bottleneck on that -// residual, reservation_edge_flows = the policy's own holds after the call. +// the call, residual = the ledger's after it (now + own before - own after), +// saturated_boundary_edges on that residual, edge_reservations = the policy's own holds after the +// call. void prepare_outputs(const PolicyEngine& pe, const OutputOptions& outputs, std::span after, PlacementResult& out) { const auto m = static_cast(pe.graph->num_edges()); - if (outputs.reservation_edge_flows) { + if (outputs.edge_reservations) { std::vector held(m, 0); for (const FlowRecord* r : after) { - for (const auto& [e, x] : r->reserved_edges) held[static_cast(e)] += x; + for (const auto& [e, x] : r->edge_reservations) held[static_cast(e)] += x; } - out.reservation_edge_flows = std::move(held); + out.edge_reservations = std::move(held); } - if (!outputs.edge_flows && !outputs.residual && !outputs.bottleneck) return; + if (!outputs.edge_flows && !outputs.residual && !outputs.saturated_boundary_edges) return; std::vector own(m, 0); for (const FlowRecord* r : after) { - for (const auto& [e, x] : r->edges) own[static_cast(e)] += x; + for (const auto& [e, x] : r->edge_flows) own[static_cast(e)] += x; } - if (outputs.residual || outputs.bottleneck) { + if (outputs.residual || outputs.saturated_boundary_edges) { std::vector res; - LedgerAccess::residual_into(pe.fg, res); - for (const auto& cohort : pe.epoch.cohorts) { + LedgerAccess::residual_into(pe.ledger, res); + for (const auto& cohort : pe.epoch.record_groups) { for (const auto& s : cohort) { - for (const auto& [e, x] : LedgerAccess::live(pe.fg, s.id).edges) res[static_cast(e)] += x; + for (const auto& [e, x] : LedgerAccess::live(pe.ledger, s.record_counter).edge_flows) res[static_cast(e)] += x; } } for (std::size_t e = 0; e < m; ++e) res[e] -= own[e]; - if (outputs.bottleneck) out.bottleneck = bottleneck_of(*pe.graph, res, pe.sources, pe.elig); + if (outputs.saturated_boundary_edges) out.saturated_boundary_edges = saturated_boundary_edges_of(*pe.graph, res, pe.sources, pe.eligibility); if (outputs.residual) out.residual = std::move(res); } if (outputs.edge_flows) out.edge_flows = std::move(own); } bool any_output(const OutputOptions& outputs) noexcept { - return outputs.edge_flows || outputs.residual || outputs.bottleneck || outputs.reservation_edge_flows; + return outputs.edge_flows || outputs.residual || outputs.saturated_boundary_edges || outputs.edge_reservations; } // ---------------------------------------------------------------- the demand's state @@ -344,8 +346,8 @@ void fill_state(const PolicyEngine& pe, std::span after if (lossy) { std::size_t n = 0; for (const FlowRecord* r : after) { - n += r->drops.size(); - dropping += r->drops.empty() ? 0 : 1; + n += r->edge_drops.size(); + dropping += r->edge_drops.empty() ? 0 : 1; } drops.reserve(n); } @@ -356,8 +358,8 @@ void fill_state(const PolicyEngine& pe, std::span after out.delivered += r->delivered; if (!lossy) continue; accumulate(*row.offered, r->offered.value_or(Counter128 {}), "offered"); - for (const auto& [e, x] : r->drops) { - accumulate(row.dropped, x, "drops"); + for (const auto& [e, x] : r->edge_drops) { + accumulate(row.total_edge_drops, x, "drops"); drops.emplace_back(e, x); } } @@ -373,29 +375,29 @@ void fill_state(const PolicyEngine& pe, std::span after } for (auto& row : out.by_source) { row.admitted = *row.offered; - row.source_loss = minus(minus(*row.offered, c128(row.delivered)), row.dropped); + row.source_drops = minus(minus(*row.offered, c128(row.delivered)), row.total_edge_drops); } if (dropping > 1) std::sort(drops.begin(), drops.end(), [](const auto& a, const auto& b) { return a.first < b.first; }); - out.drops.reserve(drops.size()); + out.edge_drops.reserve(drops.size()); Counter128 dropped {}; for (const auto& [e, x] : drops) { - if (out.drops.empty() || out.drops.back().first != e) out.drops.emplace_back(e, Counter128 {}); - accumulate(out.drops.back().second, x, "drops"); + if (out.edge_drops.empty() || out.edge_drops.back().first != e) out.edge_drops.emplace_back(e, Counter128 {}); + accumulate(out.edge_drops.back().second, x, "drops"); accumulate(dropped, x, "drops"); } out.offered = offered; out.admitted = offered; out.unadmitted = Counter128 {}; - out.source_loss = minus(minus(offered, c128(out.delivered)), dropped); + out.source_drops = minus(minus(offered, c128(out.delivered)), dropped); } // The exact sum of cost * flow over the records' edges (a controller's total cost; below 2^124: // the costs and the capacities each sum below 2^62). -Counter128 total_cost_of(const Graph& g, std::span after) { - const auto cost = g.cost(); +Counter128 total_cost_of(const Graph& graph, std::span after) { + const auto cost = graph.edge_costs(); U128 sum {}; for (const FlowRecord* r : after) { - for (const auto& [e, x] : r->edges) { + for (const auto& [e, x] : r->edge_flows) { const U128 p = mul_u64(static_cast(cost[static_cast(e)]), static_cast(x)); const std::uint64_t lo = sum.lo + p.lo; sum = U128 {sum.hi + p.hi + (lo < sum.lo ? 1U : 0U), lo}; @@ -407,40 +409,40 @@ Counter128 total_cost_of(const Graph& g, std::span afte // The records of the policy's live flows (a call that commits nothing). std::vector current_records(const PolicyEngine& pe) { std::vector out; - for (const auto& cohort : pe.epoch.cohorts) { - for (const auto& s : cohort) out.push_back(&LedgerAccess::live(pe.fg, s.id)); + for (const auto& cohort : pe.epoch.record_groups) { + for (const auto& s : cohort) out.push_back(&LedgerAccess::live(pe.ledger, s.record_counter)); } return out; } // The drafts' records as a list, in per-thread storage reused by every call (valid until this // thread's next draft_records; it grows before any commit). -std::span draft_records(const std::vector& drafts) { +std::span draft_records(const std::vector& drafts) { thread_local std::vector out; out.clear(); for (const auto& d : drafts) out.push_back(&d.record); return out; } -// T2: Global with a tunnel count. +// T2: CentralizedTE with a tunnel count. bool is_t2(const Routing& r) noexcept { - const auto* gl = std::get_if(&r); - return gl != nullptr && gl->tunnels.has_value(); + const auto* gl = std::get_if(&r); + return gl != nullptr && gl->tunnel_count.has_value(); } bool t2(const PolicyEngine& pe) noexcept { return is_t2(pe.config.routing); } // The tunnel models: T1 and T2 (one record per program entry; a full-offer call is their only // computation). -bool tunnel_model(const PolicyEngine& pe) noexcept { return is(pe) || t2(pe); } +bool tunnel_model(const PolicyEngine& pe) noexcept { return is(pe) || t2(pe); } -// Global without tunnels (with or without a support), or CostOnly MaxFlow: a controller. -bool controller(const PolicyEngine& pe) noexcept { - return (is(pe) && !t2(pe)) || (is(pe) && *pe.config.placement == FlowPlacement::MaxFlow); +// CentralizedTE without tunnels (with or without a support), or ShortestPaths Optimized: a controller. +bool uses_optimized_flow(const PolicyEngine& pe) noexcept { + return (is(pe) && !t2(pe)) || (is(pe) && std::get(pe.config.routing).allocation == RouteAllocation::Optimized); } -// Unrestricted Global: the controller over every eligible edge (dense arrays, the curve, the cut). -bool dense_global(const PolicyEngine& pe) noexcept { - return controller(pe) && is(pe) && !std::get(pe.config.routing).support; +// Unrestricted CentralizedTE: the controller over every eligible edge (dense arrays, the curve, the cut). +bool is_unrestricted_centralized_te(const PolicyEngine& pe) noexcept { + return uses_optimized_flow(pe) && is(pe) && !std::get(pe.config.routing).support; } // ================================================================ the transaction @@ -452,41 +454,41 @@ std::string key(NodeId v) { return std::to_string(v); } // What a call computes. place(v) continues the epoch `cur` (the policy's); evaluate, replace and // forward start from a fresh epoch (forward keeps the installed program) on the released view. -enum class Op { Place, Evaluate, Replace, Forward }; +enum class PolicyOperation { Place, Evaluate, Replace, Forward }; -struct Request { - Op op {Op::Place}; - std::optional v {}; // nullopt: +inf +struct PolicyCall { + PolicyOperation operation {PolicyOperation::Place}; + std::optional offer {}; // nullopt: +inf std::optional> design {}; // evaluate and replace: absent, or a design (nullopt: +inf) - const Eligibility* dark {nullptr}; // forward's black holes + const Eligibility* black_holes {nullptr}; // forward's black holes const OutputOptions* outputs {nullptr}; Trace* trace {nullptr}; - [[nodiscard]] bool full() const noexcept { return op != Op::Place; } + [[nodiscard]] bool is_full_offer() const noexcept { return operation != PolicyOperation::Place; } }; // A computed call, published or discarded whole: its result, the drafts of its commit (a place: // every live record plus the new ones; a full-offer call: only new ones, the live ones retired), // the epoch after it, and per new draft (in draft order) its flow in that epoch. -struct Staged { - PlacementResult out {}; - std::vector drafts {}; - Epoch next {}; +struct PendingPolicyUpdate { + PlacementResult result {}; + std::vector drafts {}; + PolicyEpoch next_epoch {}; std::vector> fresh {}; }; // The requested total after the call (a full-offer call: its offer alone) and whether it is // infinite. -Counter128 requested_after(const Epoch& cur, std::optional v) noexcept { +Counter128 requested_after(const PolicyEpoch& cur, std::optional v) noexcept { Counter128 r = cur.requested; if (v.has_value()) (void)r.add(*v); // checked at the call's entry return r; } // The epoch a full-offer call starts: one empty cohort per roster source (or program entry); -// forward keeps the installed program and CostOnly MaxFlow's support. -Epoch fresh_epoch(const PolicyEngine& pe, bool keep_program) { - Epoch e; - e.cohorts.resize(pe.epoch.cohorts.size()); +// forward keeps the installed program and ShortestPaths Optimized's support. +PolicyEpoch fresh_epoch(const PolicyEngine& pe, bool keep_program) { + PolicyEpoch e; + e.record_groups.resize(pe.epoch.record_groups.size()); if (keep_program) { e.program = pe.epoch.program; e.plan = pe.epoch.plan; @@ -498,10 +500,10 @@ Epoch fresh_epoch(const PolicyEngine& pe, bool keep_program) { // The termination of a forwarding call (Termination's rule after the empty roster): rule (3) when // the program has an entry with a path (`has_path`) and no head can use one (`active` false). Termination forwarding_termination(bool active, bool has_path, bool lossy, std::optional v, - Amount placed) noexcept { + Amount call_delivered) noexcept { if (has_path && !active) return Termination::NoActiveWeight; if (lossy) return v.has_value() ? Termination::Complete : Termination::Exhausted; - return v.has_value() && placed == *v ? Termination::Complete : Termination::Exhausted; + return v.has_value() && call_delivered == *v ? Termination::Complete : Termination::Exhausted; } // ---------------------------------------------------------------- the controllers' paths @@ -524,16 +526,16 @@ struct DecomposeScratch { } // namespace -Decomposition decompose(const Graph& g, std::span edges, std::vector rem, - std::span roster, std::span dests) { - const bool dense = edges.empty() && rem.size() == static_cast(g.num_edges()); - const auto edge_src = g.edge_src(); - const auto edge_dst = g.edge_dst(); +Decomposition decompose(const Graph& graph, std::span edges, std::vector rem, + std::span reachable_sources, std::span destinations) { + const bool dense = edges.empty() && rem.size() == static_cast(graph.num_edges()); + const auto edge_sources = graph.edge_sources(); + const auto edge_destinations = graph.edge_destinations(); // Position p of the flows: EdgeId p (dense) or edges[p]. Out-edges have consecutive EdgeIds, so // a node's positions are one range. auto edge_at = [&](std::size_t p) { return dense ? static_cast(p) : edges[p]; }; thread_local DecomposeScratch sc; - const auto n = static_cast(g.num_nodes()); + const auto n = static_cast(graph.num_nodes()); // Each grown on its own (a failed growth leaves the others' sizes as they were). if (sc.cur.size() < n) sc.cur.resize(n, -1); if (sc.end.size() < n) sc.end.resize(n, 0); @@ -549,9 +551,9 @@ Decomposition decompose(const Graph& g, std::span edges, std::vect for (NodeId d : dests) sc.is_dst[static_cast(d)] = 0; for (NodeId s : roster) sc.slot[static_cast(s)] = -1; } - } reset {sc, dests, roster}; - for (NodeId d : dests) sc.is_dst[static_cast(d)] = 1; - for (std::size_t i = 0; i < roster.size(); ++i) sc.slot[static_cast(roster[i])] = static_cast(i); + } reset {sc, destinations, reachable_sources}; + for (NodeId d : destinations) sc.is_dst[static_cast(d)] = 1; + for (std::size_t i = 0; i < reachable_sources.size(); ++i) sc.slot[static_cast(reachable_sources[i])] = static_cast(i); // A node without positive out-edges has an empty range. auto cursor = [&](NodeId u) -> std::int64_t& { auto& c = sc.cur[static_cast(u)]; @@ -563,8 +565,8 @@ Decomposition decompose(const Graph& g, std::span edges, std::vect return c; }; Decomposition out; - out.shares.resize(roster.size()); - out.supplies.resize(roster.size()); + out.shares.resize(reachable_sources.size()); + out.supplies.resize(reachable_sources.size()); // One pass over the flow's positions before any walk: each node's range of positive out-edges // (the zero positions around them are skipped by the walks anyway); each source's supply, its // net outflow (transit through it from another source is not supply; a walk through another @@ -575,23 +577,23 @@ Decomposition decompose(const Graph& g, std::span edges, std::vect if (rem[p] == 0) continue; ++positive; const auto e = static_cast(edge_at(p)); - const auto u = static_cast(edge_src[e]); + const auto u = static_cast(edge_sources[e]); if (sc.cur[u] < 0) { - sc.touched.push_back(edge_src[e]); + sc.touched.push_back(edge_sources[e]); sc.cur[u] = static_cast(p); } sc.end[u] = p + 1; const auto from = sc.slot[u]; - const auto to = sc.slot[static_cast(edge_dst[e])]; + const auto to = sc.slot[static_cast(edge_destinations[e])]; if (from >= 0) out.supplies[static_cast(from)] += rem[p]; if (to >= 0) out.supplies[static_cast(to)] -= rem[p]; } // A one-source flow is all that source's share: the walks cover the flow (checked below), so the // sum of its paths is the flow's positive positions, ascending (the per-path sum's degenerate // form). - const bool one = roster.size() == 1; + const bool one = reachable_sources.size() == 1; // Every path zeroes a position or ends a source's supply. - out.paths.reserve(positive + roster.size()); + out.paths.reserve(positive + reachable_sources.size()); if (one) { out.shares[0].reserve(positive); for (std::size_t p = 0; p < rem.size(); ++p) { @@ -600,8 +602,8 @@ Decomposition decompose(const Graph& g, std::span edges, std::vect } auto& walk = sc.walk; auto& acc = sc.acc; - for (std::size_t i = 0; i < roster.size(); ++i) { - const NodeId s = roster[i]; + for (std::size_t i = 0; i < reachable_sources.size(); ++i) { + const NodeId s = reachable_sources[i]; Amount left = out.supplies[i]; acc.clear(); while (left > 0) { @@ -612,17 +614,17 @@ Decomposition decompose(const Graph& g, std::span edges, std::vect const auto stop = sc.end[static_cast(u)]; while (static_cast(p) < stop && rem[static_cast(p)] == 0) ++p; if (static_cast(p) == stop) { - throw std::logic_error("Global decomposition: flow conservation broken (no continuation)"); + throw std::logic_error("CentralizedTE decomposition: flow conservation broken (no continuation)"); } walk.push_back(static_cast(p)); - u = edge_dst[static_cast(edge_at(static_cast(p)))]; - if (walk.size() > n) throw std::logic_error("Global decomposition: a cycle with positive flow"); + u = edge_destinations[static_cast(edge_at(static_cast(p)))]; + if (walk.size() > n) throw std::logic_error("CentralizedTE decomposition: a cycle with positive flow"); } Amount amount = left; for (std::size_t p : walk) amount = std::min(amount, rem[p]); - ControllerPath path; - path.slot = static_cast(i); - path.amount = amount; + OptimizedFlowPath path; + path.roster_index = static_cast(i); + path.weight = amount; path.edges.reserve(walk.size()); for (std::size_t p : walk) { rem[p] -= amount; @@ -644,66 +646,60 @@ Decomposition decompose(const Graph& g, std::span edges, std::vect } } for (Amount x : rem) { - if (x != 0) throw std::logic_error("Global decomposition: the walks do not cover the flow"); + if (x != 0) throw std::logic_error("CentralizedTE decomposition: the walks do not cover the flow"); } return out; } namespace { -// ---------------------------------------------------------------- CostOnly preparation +// ---------------------------------------------------------------- ShortestPaths preparation -// A CostOnly demand's routes for the epoch, prepared at its first positive call (or a replace) -// on the working residual at that call's entry: per roster source its route (the record's bundle -// and route cost), and its program (EqualBalanced, Weighted: one split route per source in one -// plan rooted at the roster) or the routes' union (MaxFlow, the controller's support). -struct Prepared { +// A ShortestPaths demand's routes for the epoch, prepared at its first positive call (or a replace) +// on the working residual at that call's entry: per roster source its route (the record's route +// and route cost), and its program (Equal, Weighted: one split route per source in one +// plan rooted at the roster) or the routes' union (Optimized, the controller's support). +struct PreparedShortestPaths { std::vector flows {}; // per roster source, new (id -1) std::shared_ptr program {}; std::vector edges {}; // ascending: the union of the routes }; -Prepared prepare_cost_only(Call& c) { - const auto& pe = c.pe; - const auto& g = c.g; - const std::size_t k = pe.roster.size(); - const FlowPlacement placement = *pe.config.placement; - Prepared out; +PreparedShortestPaths prepare_shortest_path_program(PolicyCallContext& c) { + const auto& pe = c.engine; + const auto& g = c.graph; + const std::size_t k = pe.reachable_sources.size(); + const RouteAllocation allocation = std::get(pe.config.routing).allocation; + PreparedShortestPaths out; out.flows.resize(k); std::vector> routes(k); - std::shared_ptr single; // one source's plan from its one-pass creation + std::shared_ptr single; // one source's plan from its one-pass creation for (std::size_t i = 0; i < k; ++i) { - const NodeId s = pe.roster[i]; + const NodeId s = pe.reachable_sources[i]; auto& f = out.flows[i]; - f.src = s; + f.source = s; if (auto made = creation_products(c, s)) { - f.bundle = std::move(made->bundle); - f.cost = made->cost; - if (k == 1 && placement != FlowPlacement::MaxFlow) { - single = std::make_shared(std::move(made->plan)); + f.route = std::move(made->route); + f.min_route_cost = made->min_route_cost; + if (k == 1 && allocation != RouteAllocation::Optimized) { + single = std::make_shared(std::move(made->prepared_route)); } else { - routes[i] = std::move(made->plan.route); + routes[i] = std::move(made->prepared_route.support_edges); } } else { - Route r = cost_only_route(c, s); - f.bundle = bundle_of(g, r.edges, pe.support); - f.cost = r.cost != kUnreachable ? r.cost : route_cost(g, *f.bundle, s, pe.dests_ok); + RouteSupport r = shortest_path_support(c, s); + f.route = record_route_of(g, r.edges, pe.support); + f.min_route_cost = r.cost != kUnreachable ? r.cost : min_route_cost(g, *f.route, s, pe.allowed_destinations); routes[i] = std::move(r.edges); } } - // The program: one entry per roster source with its record bundle (its route, the replay basis) - // and route cost. - auto program_of = [&](std::shared_ptr plan) { - std::vector entries(k); - for (std::size_t i = 0; i < k; ++i) { - entries[i].bundle = out.flows[i].bundle; - entries[i].cost = out.flows[i].cost; - } - return cost_only_program(g, pe.sources, pe.destinations, pe.roster, std::move(plan), std::move(entries)); - }; - // One split-routing source: its one-pass creation plan is the program (its route is the union). + // One split-routing source: its one-pass creation plan (the pooled builder's plan of its route, + // rooted at it) is the program; its route is the union. if (single) { - out.program = program_of(std::move(single)); + std::vector entries(1); + entries[0].route = out.flows[0].route; + entries[0].min_route_cost = out.flows[0].min_route_cost; + out.program = shortest_path_program(g, pe.sources, pe.destinations, pe.reachable_sources, std::move(single), std::move(entries)); return out; } for (const auto& r : routes) out.edges.insert(out.edges.end(), r.begin(), r.end()); @@ -712,57 +708,62 @@ Prepared prepare_cost_only(Call& c) { // One continuation per router: every source's route leaves each of its routers by all the // union's edges there. The routes are read on one view under one mask, so a router's // continuation depends on the router alone (a single path's suffix is the canonical path of - // its first node; the rejected multipath = false with PreferHigherPriority is the exception). + // its first node; the rejected multipath = false with a HIGHER_* tie_break is the exception). // One route is its own union: nothing to check. - const auto row = g.row_offsets(); - const auto edge_src = g.edge_src(); + const auto row = g.outgoing_offsets(); + const auto edge_sources = g.edge_sources(); for (std::size_t i = 0; k > 1 && i < k; ++i) { const auto& r = routes[i]; for (std::size_t a = 0; a < r.size();) { - const auto u = static_cast(edge_src[static_cast(r[a])]); + const auto u = static_cast(edge_sources[static_cast(r[a])]); std::size_t b = a; - while (b < r.size() && static_cast(edge_src[static_cast(r[b])]) == u) ++b; + while (b < r.size() && static_cast(edge_sources[static_cast(r[b])]) == u) ++b; const auto lo = std::lower_bound(out.edges.begin(), out.edges.end(), row[u]); const auto hi = std::lower_bound(lo, out.edges.end(), row[u + 1]); if (static_cast(hi - lo) != b - a) { - throw std::logic_error("CostOnly: two roster sources continue differently at node " + std::to_string(u)); + throw std::logic_error("ShortestPaths: two roster sources continue differently at node " + std::to_string(u)); } a = b; } } - if (placement == FlowPlacement::MaxFlow) return out; - const auto support = PredDAGBuilder::ascending(*pe.support); + if (allocation == RouteAllocation::Optimized) return out; + const auto support = PredecessorDAGBuilder::ascending(*pe.support); const auto dag = std::equal(out.edges.begin(), out.edges.end(), support.begin(), support.end()) ? pe.support - : std::make_shared(PredDAGBuilder::of_edges(g, out.edges)); + : std::make_shared(PredecessorDAGBuilder::of_edges(g, out.edges)); // Weighted weights: the static source, or the free capacity read now (ResidualSnapshot, frozen // for the epoch). std::vector creation; - WeightSource weights = cost_only_weights(pe); - if (placement == FlowPlacement::Weighted && weights.basis == WeightBasis::ResidualSnapshot) { + WeightSource weights = shortest_path_weight_source(pe); + if (allocation == RouteAllocation::Weighted && weights.basis == WeightBasis::ResidualSnapshot) { creation.resize(out.edges.size()); - for (std::size_t i = 0; i < out.edges.size(); ++i) creation[i] = c.W.at(out.edges[i]); + for (std::size_t i = 0; i < out.edges.size(); ++i) creation[i] = c.service_capacity.at(out.edges[i]); weights.values = creation; } - out.program = program_of(std::make_shared( - make_plan(g, placement, pe.config.admission, weights, pe.roster, pe.dests_ok, *dag))); + std::vector entries(k); + for (std::size_t i = 0; i < k; ++i) { + entries[i].route = out.flows[i].route; + entries[i].min_route_cost = out.flows[i].min_route_cost; + } + out.program = pooled_dag_program(g, pe.sources, pe.destinations, pe.reachable_sources, *dag, allocation, weights, + std::move(entries)); return out; } -Trace routes_trace(const Prepared& p) { +Trace routes_trace(const PreparedShortestPaths& p) { Trace t = Trace::map(); - for (const auto& f : p.flows) t.set(key(f.src), route_trace(PredDAGBuilder::ascending(*f.bundle))); + for (const auto& f : p.flows) t.set(key(f.source), route_trace(PredecessorDAGBuilder::ascending(*f.route))); return t; } -// A record of one roster source of CostOnly or Global (its route, its route cost). +// A record of one roster source of ShortestPaths or CentralizedTE (its route, its route cost). FlowRecord source_record(const PolicyEngine& pe, const LiveFlow& f) { FlowRecord r; - r.sources = {f.src}; - r.destinations = pe.dests_ok; + r.sources = {f.source}; + r.destinations = pe.allowed_destinations; r.admission = pe.config.admission; - r.bundle = f.bundle; - r.route_cost = f.cost; + r.route = f.route; + r.min_route_cost = f.min_route_cost; return r; } @@ -825,24 +826,24 @@ std::vector> merged(std::vector& flows, Staged& s) { +void source_drafts(const PolicyEngine& pe, const std::vector& flows, PendingPolicyUpdate& s) { const std::size_t k = flows.size(); s.drafts.resize(k); - s.next.cohorts.assign(k, {}); + s.next_epoch.record_groups.assign(k, {}); for (std::size_t i = 0; i < k; ++i) { - if (flows[i].id >= 0) { - s.drafts[i].id = flows[i].id; + if (flows[i].record_counter >= 0) { + s.drafts[i].record_counter = flows[i].record_counter; } else { s.fresh.emplace_back(i, 0); } s.drafts[i].record = source_record(pe, flows[i]); - s.next.cohorts[i].push_back(flows[i]); + s.next_epoch.record_groups[i].push_back(flows[i]); } } -// The programs of a call and the flags they give (10.4). Only T1's own setup books holds, so only it +// The programs of a call and the flags they give. Only T1's own setup books holds, so only it // reports a reservation change; Pinned over a T1 program keeps the imported amounts and books none. void set_flags(PlacementResult& out, const ForwardingProgram* before, const ForwardingProgram* after, bool reserves) noexcept { @@ -853,40 +854,40 @@ void set_flags(PlacementResult& out, const ForwardingProgram* before, const Forw } // The by_tunnel rows of a controller's program: every path up, assigned = delivered = its amount. -std::vector controller_rows(const ForwardingProgram& program) { +std::vector optimized_flow_tunnel_rows(const ForwardingProgram& program) { std::vector rows; rows.reserve(program.tunnels().size()); - for (const auto& t : program.tunnels()) rows.push_back(TunnelFlow {t.index, t.head, TunnelStatus::Up, c128(t.weight), t.weight, {}}); + for (const auto& t : program.tunnels()) rows.push_back(TunnelFlow {t.entry_id, t.head, TunnelStatus::Up, c128(t.weight), t.weight, {}}); return rows; } -// ---------------------------------------------------------------- CostOnly EqualBalanced and Weighted +// ---------------------------------------------------------------- ShortestPaths Equal and Weighted -Staged place_pooled(const PolicyEngine& pe, const Epoch& cur, Working& W, const Request& rq, +PendingPolicyUpdate place_pooled(const PolicyEngine& pe, const PolicyEpoch& cur, ServiceCapacityWorkspace& W, const PolicyCall& rq, const ForwardingProgram* before_program) { const auto& g = *pe.graph; - const auto v = rq.v; + const auto v = rq.offer; Trace* trace = rq.trace; - Call c {pe, g, W}; - const std::size_t k = pe.roster.size(); + PolicyCallContext c {pe, g, W}; + const std::size_t k = pe.reachable_sources.size(); const bool lossy = pe.config.admission == Admission::Lossy; - const bool created = cur.cohorts.front().empty(); - Prepared prep; + const bool created = cur.record_groups.front().empty(); + PreparedShortestPaths prep; std::vector flows(k); if (created) { - prep = prepare_cost_only(c); + prep = prepare_shortest_path_program(c); flows = prep.flows; } else { - for (std::size_t i = 0; i < k; ++i) flows[i] = cur.cohorts[i].front(); + for (std::size_t i = 0; i < k; ++i) flows[i] = cur.record_groups[i].front(); } const auto program = created ? prep.program : cur.program; - const KernelPlan& plan = *ProgramAccess::data(*program).contexts.front().plan; - const auto members = std::span(plan.members); + const PreparedRoute& plan = *ProgramAccess::data(*program).split_contexts.front().prepared_route; + const auto members = std::span(plan.forwarding_edges); std::vector before(k, nullptr); if (!created) { - for (std::size_t i = 0; i < k; ++i) before[i] = &LedgerAccess::live(pe.fg, flows[i].id); + for (std::size_t i = 0; i < k; ++i) before[i] = &LedgerAccess::live(pe.ledger, flows[i].record_counter); } - Staged s; + PendingPolicyUpdate s; source_drafts(pe, flows, s); auto& drafts = s.drafts; // A one-source program is its own attribution. @@ -894,7 +895,7 @@ Staged place_pooled(const PolicyEngine& pe, const Epoch& cur, Working& W, const Attribution* per_source = k > 1 ? &attr : nullptr; std::vector inject(k, 0); Forwarding fw; - Amount placed = 0; + Amount call_delivered = 0; Counter128 offered = cur.offered; Trace step_tr = Trace::map(); if (!lossy) { @@ -905,36 +906,36 @@ Staged place_pooled(const PolicyEngine& pe, const Epoch& cur, Working& W, const for (const FlowRecord* r : before) { if (r == nullptr) continue; admitted += r->delivered; - align(members, r->edges, part); + align(members, r->edge_flows, part); for (std::size_t m = 0; m < members.size(); ++m) own[m] += part[m]; } std::vector view; W.gather(members, view); for (std::size_t m = 0; m < members.size(); ++m) view[m] += own[m]; auto step = lossless_step(g, plan, admitted, view, own, v); - placed = step.total - admitted; + call_delivered = step.admitted - admitted; if (per_source == nullptr) { // One source holds the whole admitted allocation (the attribution's degenerate form): it // delivers all of it, with no second forwarding. auto& r = drafts.front().record; - r.edges = positive(members, step.alloc); - r.delivered = step.total; + r.edge_flows = positive(members, step.edge_flows); + r.delivered = step.admitted; } else { // Several sources: forward the admitted total again to attribute it. - round_robin(step.total, inject); + round_robin(step.admitted, inject); fw = forward(plan, Injection {inject, false}, {}, per_source); - if (fw.carried != step.alloc) { - throw std::logic_error("CostOnly: the attributed forwarding differs from the admitted allocation"); + if (fw.edge_flows != step.edge_flows) { + throw std::logic_error("ShortestPaths: the attributed forwarding differs from the admitted allocation"); } for (std::size_t i = 0; i < k; ++i) { auto& r = drafts[i].record; for (const auto& x : attr.entries[i]) { - if (x.carried != 0) r.edges.emplace_back(members[static_cast(x.member)], x.carried); + if (x.carried != 0) r.edge_flows.emplace_back(members[static_cast(x.edge_position)], x.carried); } r.delivered = attr.delivered[i]; } } - if (kTraced && trace) step_tr = Trace::ints(std::vector {admitted, step.total}); + if (kTraced && trace) step_tr = Trace::ints(std::vector {admitted, step.admitted}); } else { // The new round-robin injections of the offer (or the first-hop experiment) on W. Injection in; @@ -947,7 +948,7 @@ Staged place_pooled(const PolicyEngine& pe, const Epoch& cur, Working& W, const std::vector w; W.gather(members, w); fw = forward(plan, in, w, per_source); - placed = fw.delivered; + call_delivered = fw.delivered; for (std::size_t i = 0; i < k; ++i) { auto& r = drafts[i].record; std::vector> carried; @@ -955,46 +956,46 @@ Staged place_pooled(const PolicyEngine& pe, const Epoch& cur, Working& W, const Amount offer = fw.offered; Amount delivered = fw.delivered; if (per_source == nullptr) { - carried = positive(members, fw.carried); - dropped = positive(members, fw.drops); + carried = positive(members, fw.edge_flows); + dropped = positive(members, fw.edge_drops); } else { for (const auto& x : attr.entries[i]) { - const EdgeId e = members[static_cast(x.member)]; + const EdgeId e = members[static_cast(x.edge_position)]; if (x.carried != 0) carried.emplace_back(e, x.carried); - if (x.dropped != 0) dropped.emplace_back(e, x.dropped); + if (x.drops != 0) dropped.emplace_back(e, x.drops); } offer = attr.offered[i]; delivered = attr.delivered[i]; } // The counters' 2^127 checks: a drop counter first, then the offered ones. const FlowRecord* b = before[i]; - r.drops = plus(b != nullptr ? b->drops : std::vector> {}, dropped); + r.edge_drops = plus(b != nullptr ? b->edge_drops : std::vector> {}, dropped); r.offered = b != nullptr ? b->offered.value_or(Counter128 {}) : Counter128 {}; accumulate(*r.offered, c128(offer), "offered"); r.delivered = (b != nullptr ? b->delivered : 0) + delivered; - r.edges = b != nullptr ? plus(b->edges, carried) : std::move(carried); + r.edge_flows = b != nullptr ? plus(b->edge_flows, carried) : std::move(carried); } accumulate(offered, c128(fw.offered), "offered"); if (kTraced && trace) { step_tr = Trace::map(); for (std::size_t i = 0; i < k; ++i) { - step_tr.set(key(pe.roster[i]), v.has_value() ? Trace::integer(inject[i]) : Trace::str("inf")); + step_tr.set(key(pe.reachable_sources[i]), v.has_value() ? Trace::integer(inject[i]) : Trace::str("inf")); } } } const Counter128 requested = requested_after(cur, v); - PlacementResult& out = s.out; - out.placed = placed; - if (v.has_value()) out.remaining = *v - placed; - out.delivery_delta = placed; - if (lossy) out.call_drops = positive(members, fw.drops); - out.call_source_loss = fw.source_loss; + PlacementResult& out = s.result; + out.call_delivered = call_delivered; + if (v.has_value()) out.call_undelivered = *v - call_delivered; + out.delivery_delta = call_delivered; + if (lossy) out.call_edge_drops = positive(members, fw.edge_drops); + out.call_source_drops = fw.source_drops; if (members.empty()) { out.termination = Termination::NoActiveWeight; } else if (lossy) { out.termination = v.has_value() ? Termination::Complete : Termination::Exhausted; } else { - out.termination = v.has_value() && placed == *v ? Termination::Complete : Termination::Exhausted; + out.termination = v.has_value() && call_delivered == *v ? Termination::Complete : Termination::Exhausted; } if (created) set_flags(out, before_program, program.get(), false); out.program = program; @@ -1003,60 +1004,60 @@ Staged place_pooled(const PolicyEngine& pe, const Epoch& cur, Working& W, const trace->set("prepare", created ? routes_trace(prep) : Trace::null()); trace->set(lossy ? "offers" : "T", std::move(step_tr)); } - s.next.program = program; - s.next.requested = requested; - s.next.offered = offered; - s.next.prepared = true; - s.next.infinite = cur.infinite || !v.has_value(); + s.next_epoch.program = program; + s.next_epoch.requested = requested; + s.next_epoch.offered = offered; + s.next_epoch.prepared = true; + s.next_epoch.infinite = cur.infinite || !v.has_value(); return s; } // ---------------------------------------------------------------- the controllers // One solve of a controller from zero on the view V with value cap `cap` (nullopt: uncapped); -// `caps` (the equal origin) caps source i's arc at caps[i]. Unrestricted Global solves over every -// eligible edge, its V and flows per EdgeId; Global with a support and CostOnly MaxFlow over +// `caps` (the equal source allocation) caps source i's arc at caps[i]. Unrestricted CentralizedTE solves over every +// eligible edge, its V and flows per EdgeId; CentralizedTE with a support and ShortestPaths Optimized over // `support`, their V and flows aligned with it. -struct Solve { - Amount placed {0}; - std::vector flows {}; - FlowCoreResult payload {}; // unrestricted Global: the flow core's payload (the curve, the cut, the trace's values) +struct OptimizedFlowResult { + Amount flow_value {0}; + std::vector edge_flows {}; + MinCostFlowResult payload {}; // unrestricted CentralizedTE: the flow core's payload (the curve, the cut, the trace's values) }; -Solve solve(const PolicyEngine& pe, std::span support, std::span V, +OptimizedFlowResult solve(const PolicyEngine& pe, std::span support, std::span V, std::optional cap, std::span caps) { const auto& g = *pe.graph; - Solve out; - if (dense_global(pe)) { - out.payload = place_global_units(g, V, pe.roster, pe.dests_ok, pe.elig, cap, caps.empty() ? pe.capture : nullptr, caps); - out.placed = out.payload.placed; - out.flows = out.payload.edge_flows; + OptimizedFlowResult out; + if (is_unrestricted_centralized_te(pe)) { + out.payload = solve_min_cost_flow(g, V, pe.reachable_sources, pe.allowed_destinations, pe.eligibility, cap, caps.empty() ? pe.capture : nullptr, caps); + out.flow_value = out.payload.flow_value; + out.edge_flows = out.payload.edge_flows; return out; } - auto r = solve_subset(g, support, V, pe.roster, pe.dests_ok, cap, caps); - out.placed = r.placed; - out.flows = std::move(r.flows); + auto r = solve_subset(g, support, V, pe.reachable_sources, pe.allowed_destinations, cap, caps); + out.flow_value = r.flow_value; + out.edge_flows = std::move(r.edge_flows); return out; } -// The equal origin: the largest total T in [lo, hi] whose round-robin supplies RR(T, H, i) are all +// The equal source allocation: the largest total T in [lo, hi] whose round-robin supplies RR(T, H, i) are all // carried (a solve capped at T with source i's arc capped at its share reaches T), given that lo's // are. Feasible totals form a prefix (each share never decreases in T, and a smaller supply // vector stays feasible), so integer bisection is exact; T's solve from zero is returned, so the // result does not depend on the probes. -Solve solve_equal(const PolicyEngine& pe, std::span support, std::span V, Amount lo, +OptimizedFlowResult solve_equal(const PolicyEngine& pe, std::span support, std::span V, Amount lo, Amount hi, Trace* probes) { - std::vector caps(pe.roster.size()); - auto attempt = [&](Amount t) -> std::optional { + std::vector caps(pe.reachable_sources.size()); + auto attempt = [&](Amount t) -> std::optional { std::fill(caps.begin(), caps.end(), 0); round_robin(t, caps); auto s = solve(pe, support, V, t, caps); if (kTraced && probes != nullptr) probes->push(Trace::integer(t)); - if (s.placed != t) return std::nullopt; + if (s.flow_value != t) return std::nullopt; return s; }; if (auto s = attempt(hi)) return std::move(*s); - std::optional best; + std::optional best; while (hi - lo > 1) { const Amount mid = lo + (hi - lo) / 2; if (auto s = attempt(mid)) { @@ -1067,22 +1068,22 @@ Solve solve_equal(const PolicyEngine& pe, std::span support, std:: } } if (!best) best = attempt(lo); - if (!best) throw std::logic_error("equal origin: the admitted total is no longer carried"); + if (!best) throw std::logic_error("equal source allocation: the admitted total is no longer carried"); return std::move(*best); } // The upper end of the equal search: the view summed over the edges leaving the roster sources -// (unrestricted Global: the eligible ones, V per EdgeId; otherwise the support's, V aligned with +// (unrestricted CentralizedTE: the eligible ones, V per EdgeId; otherwise the support's, V aligned with // it); the supplies leave through them. -Amount roster_out(const PolicyEngine& pe, std::span support, std::span V) { - const auto row = pe.graph->row_offsets(); - const bool dense = dense_global(pe); +Amount source_outgoing_capacity_bound(const PolicyEngine& pe, std::span support, std::span V) { + const auto row = pe.graph->outgoing_offsets(); + const bool dense = is_unrestricted_centralized_te(pe); Amount sum = 0; - for (NodeId s : pe.roster) { + for (NodeId s : pe.reachable_sources) { const auto si = static_cast(s); if (dense) { for (auto e = row[si]; e < row[si + 1]; ++e) { - if (pe.elig == nullptr || pe.elig->edge_ok(e)) sum += V[static_cast(e)]; + if (pe.eligibility == nullptr || pe.eligibility->allows_edge(e)) sum += V[static_cast(e)]; } } else { for (auto it = std::lower_bound(support.begin(), support.end(), row[si]); @@ -1094,56 +1095,56 @@ Amount roster_out(const PolicyEngine& pe, std::span support, std:: return sum; } -// The program basis of a controller: unrestricted Global the topology under its mask; Global with -// a support that support; CostOnly MaxFlow each source's route. -ControllerBasis controller_basis(const PolicyEngine& pe, const std::vector& flows) { - ControllerBasis b; - if (dense_global(pe)) { - b.topology = true; +// The program basis of a controller: unrestricted CentralizedTE the topology under its mask; CentralizedTE with +// a support that support; ShortestPaths Optimized each source's route. +ReplayBasis optimized_flow_replay_basis(const PolicyEngine& pe, const std::vector& flows) { + ReplayBasis b; + if (is_unrestricted_centralized_te(pe)) { + b.uses_topology_basis = true; b.excluded_nodes = pe.excluded_nodes; b.excluded_edges = pe.excluded_edges; - } else if (is(pe)) { - b.common = pe.global_support; + } else if (is(pe)) { + b.common_support = pe.centralized_te_support; } else { - b.per_source.reserve(flows.size()); - for (const auto& f : flows) b.per_source.push_back(f.bundle); + b.source_supports.reserve(flows.size()); + for (const auto& f : flows) b.source_supports.push_back(f.route); } return b; } -Staged place_controller(const PolicyEngine& pe, const Epoch& cur, Working& W, const Request& rq, +PendingPolicyUpdate place_optimized_flow(const PolicyEngine& pe, const PolicyEpoch& cur, ServiceCapacityWorkspace& W, const PolicyCall& rq, const ForwardingProgram* before_program) { const auto& g = *pe.graph; - const auto v = rq.v; + const auto v = rq.offer; Trace* trace = rq.trace; - const bool dense = dense_global(pe); - const bool global = is(pe); - const bool equal = pe.origin == Origin::Equal; - const std::size_t k = pe.roster.size(); - const bool created = cur.cohorts.front().empty(); - // CostOnly MaxFlow: the support of the epoch (its routes, prepared at its first call). - Prepared prep; + const bool dense = is_unrestricted_centralized_te(pe); + const bool global = is(pe); + const bool equal = pe.source_allocation == SourceAllocation::Equal; + const std::size_t k = pe.reachable_sources.size(); + const bool created = cur.record_groups.front().empty(); + // ShortestPaths Optimized: the support of the epoch (its routes, prepared at its first call). + PreparedShortestPaths prep; if (!global && created) { - Call c {pe, g, W}; - prep = prepare_cost_only(c); + PolicyCallContext c {pe, g, W}; + prep = prepare_shortest_path_program(c); } const std::span support = dense ? std::span {} - : global ? std::span(*pe.global_support) + : global ? std::span(*pe.centralized_te_support) : created ? std::span(prep.edges) : std::span(cur.support); std::vector flows(k); for (std::size_t i = 0; i < k; ++i) { if (!created) { - flows[i] = cur.cohorts[i].front(); + flows[i] = cur.record_groups[i].front(); } else if (!global) { flows[i] = prep.flows[i]; } else { - flows[i].src = pe.roster[i]; + flows[i].source = pe.reachable_sources[i]; } } // V = W + own: the working residual plus the policy's own allocation (its live records, or none // in a full-offer call, whose view already holds them released), per EdgeId (unrestricted - // Global) or aligned with the support (a record's edges lie in it, both ascending). + // CentralizedTE) or aligned with the support (a record's edges lie in it, both ascending). std::vector V; if (dense) { W.dense(V); @@ -1152,11 +1153,11 @@ Staged place_controller(const PolicyEngine& pe, const Epoch& cur, Working& W, co } Amount P = 0; for (const auto& f : flows) { - if (f.id < 0) continue; - const FlowRecord& rec = LedgerAccess::live(pe.fg, f.id); + if (f.record_counter < 0) continue; + const FlowRecord& rec = LedgerAccess::live(pe.ledger, f.record_counter); P += rec.delivered; std::size_t p = 0; - for (const auto& [e, x] : rec.edges) { + for (const auto& [e, x] : rec.edge_flows) { if (dense) { V[static_cast(e)] += x; continue; @@ -1168,73 +1169,73 @@ Staged place_controller(const PolicyEngine& pe, const Epoch& cur, Working& W, co } const std::optional cap = v.has_value() ? std::optional(P + *v) : std::nullopt; if (pe.capture != nullptr) { - if (equal || !dense) throw std::logic_error("a deletion capture of a controller other than optimized Global"); + if (equal || !dense) throw std::logic_error("a deletion capture of a controller other than optimized CentralizedTE"); pe.capture->graph = pe.graph; } Trace probes = Trace::list(); - Solve sol; + OptimizedFlowResult sol; if (equal) { - const Amount top = roster_out(pe, support, V); + const Amount top = source_outgoing_capacity_bound(pe, support, V); sol = solve_equal(pe, support, V, P, cap.has_value() ? std::min(*cap, top) : top, &probes); } else { sol = solve(pe, support, V, cap, {}); } - if (sol.placed < P) throw std::logic_error("controller: a call reduced placed_demand()"); - // The program: each source's supply cut into paths (4.1); each source's share is the sum of its + if (sol.flow_value < P) throw std::logic_error("controller: a call reduced placed_demand()"); + // The program: each source's supply cut into paths; each source's share is the sum of its // paths. // The solved flows move into the decomposition (a trace reads them afterwards: a copy). const bool traced = kTraced && trace != nullptr; - auto dec = decompose(g, support, traced ? sol.flows : std::move(sol.flows), pe.roster, pe.dests_ok); - Staged s; - // A supplied support, which a share that uses every one of its edges reuses as its bundle (a - // PredDAG is fixed by its graph and edge set: the same value). - const auto* gl = std::get_if(&pe.config.routing); - const std::shared_ptr supplied = gl != nullptr ? gl->support : nullptr; + auto dec = decompose(g, support, traced ? sol.edge_flows : std::move(sol.edge_flows), pe.reachable_sources, pe.allowed_destinations); + PendingPolicyUpdate s; + // A supplied support, which a share that uses every one of its edges reuses as its route (a + // PredecessorDAG is fixed by its graph and edge set: the same value). + const auto* gl = std::get_if(&pe.config.routing); + const std::shared_ptr supplied = gl != nullptr ? gl->support : nullptr; for (std::size_t i = 0; i < k; ++i) { - const NodeId src = pe.roster[i]; + const NodeId src = pe.reachable_sources[i]; auto& f = flows[i]; if (global) { - // Global's record bundle is the edges its share uses. + // CentralizedTE's record route is the edges its share uses. const auto& share = dec.shares[i]; auto same = [&](std::span edges) { return std::equal(share.begin(), share.end(), edges.begin(), edges.end(), [](const auto& ex, EdgeId e) { return ex.first == e; }); }; - if (f.bundle && same(PredDAGBuilder::ascending(*f.bundle))) continue; - if (supplied && same(PredDAGBuilder::ascending(*supplied))) { - f.bundle = supplied; + if (f.route && same(PredecessorDAGBuilder::ascending(*f.route))) continue; + if (supplied && same(PredecessorDAGBuilder::ascending(*supplied))) { + f.route = supplied; } else { std::vector route; route.reserve(share.size()); for (const auto& [e, x] : share) route.push_back(e); - f.bundle = std::make_shared(PredDAGBuilder::of_edges(g, route)); + f.route = std::make_shared(PredecessorDAGBuilder::of_edges(g, route)); } - f.cost = share.empty() ? kUnreachable : route_cost(g, *f.bundle, src, pe.dests_ok); + f.min_route_cost = share.empty() ? kUnreachable : min_route_cost(g, *f.route, src, pe.allowed_destinations); } } source_drafts(pe, flows, s); for (std::size_t i = 0; i < k; ++i) { s.drafts[i].record.delivered = dec.supplies[i]; - s.drafts[i].record.edges = std::move(dec.shares[i]); + s.drafts[i].record.edge_flows = std::move(dec.shares[i]); } const auto& supplies = dec.supplies; - auto program = controller_program(g, pe.sources, pe.destinations, pe.roster, std::move(dec.paths), + auto program = optimized_flow_program(g, pe.sources, pe.destinations, pe.reachable_sources, std::move(dec.paths), equal ? std::span {} : std::span(supplies), - controller_basis(pe, flows)); + optimized_flow_replay_basis(pe, flows)); const Counter128 requested = requested_after(cur, v); - PlacementResult& out = s.out; - out.placed = sol.placed - P; - if (v.has_value()) out.remaining = *v - out.placed; - out.delivery_delta = out.placed; - out.termination = v.has_value() && out.placed == *v ? Termination::Complete : Termination::Exhausted; + PlacementResult& out = s.result; + out.call_delivered = sol.flow_value - P; + if (v.has_value()) out.call_undelivered = *v - out.call_delivered; + out.delivery_delta = out.call_delivered; + out.termination = v.has_value() && out.call_delivered == *v ? Termination::Complete : Termination::Exhausted; set_flags(out, before_program, program.get(), false); out.program = program; - out.by_tunnel = controller_rows(*program); + out.by_tunnel = optimized_flow_tunnel_rows(*program); const auto after = draft_records(s.drafts); fill_state(pe, after, requested, cur.infinite || !v.has_value(), Counter128 {}, out); out.total_cost = total_cost_of(g, after); const bool curve = dense && !equal; - if (curve) out.cost_distribution = sol.payload.cost_distribution; + if (curve) out.marginal_cost_curve = sol.payload.marginal_cost_curve; if (curve && rq.outputs != nullptr && rq.outputs->min_cut) out.min_cut = sol.payload.min_cut; if (kTraced && trace) { if (!global) trace->set("prepare", created ? routes_trace(prep) : Trace::null()); @@ -1242,10 +1243,10 @@ Staged place_controller(const PolicyEngine& pe, const Epoch& cur, Working& W, co if (dense) trace->set("V", Trace::ints(V)); trace->set("cap", cap.has_value() ? Trace::integer(*cap) : Trace::null()); Trace fc = Trace::map(); - fc.set("placed", Trace::integer(sol.placed)); + fc.set("placed", Trace::integer(sol.flow_value)); if (dense) { const auto& r = sol.payload; - fc.set("cost_distribution", Trace::pairs(r.cost_distribution)); + fc.set("cost_distribution", Trace::pairs(r.marginal_cost_curve)); fc.set("edge_flows", Trace::ints(r.edge_flows)); fc.set("min_cut", r.min_cut.has_value() ? Trace::ints(*r.min_cut) : Trace::null()); fc.set("potentials", Trace::ints(r.potentials)); @@ -1259,47 +1260,47 @@ Staged place_controller(const PolicyEngine& pe, const Epoch& cur, Working& W, co fc.set("counters", std::move(counters)); } else { std::vector flows_dense(static_cast(g.num_edges()), 0); - for (std::size_t p = 0; p < support.size(); ++p) flows_dense[static_cast(support[p])] = sol.flows[p]; + for (std::size_t p = 0; p < support.size(); ++p) flows_dense[static_cast(support[p])] = sol.edge_flows[p]; fc.set("edge_flows", Trace::ints(flows_dense)); } Trace supply = Trace::map(); Trace shares_tr = Trace::map(); for (std::size_t i = 0; i < k; ++i) { - supply.set(key(pe.roster[i]), Trace::integer(supplies[i])); - shares_tr.set(key(pe.roster[i]), Trace::pairs(s.drafts[i].record.edges)); + supply.set(key(pe.reachable_sources[i]), Trace::integer(supplies[i])); + shares_tr.set(key(pe.reachable_sources[i]), Trace::pairs(s.drafts[i].record.edge_flows)); } fc.set("supply", std::move(supply)); trace->set("flow_core", std::move(fc)); trace->set("shares", std::move(shares_tr)); } - if (curve) s.next.curve = *out.cost_distribution; // the cumulative curve a later zero call reports - if (!global) s.next.support = created ? prep.edges : cur.support; - s.next.program = program; - s.next.by_tunnel = out.by_tunnel; - s.next.requested = requested; - s.next.prepared = true; - s.next.infinite = cur.infinite || !v.has_value(); + if (curve) s.next_epoch.marginal_cost_curve = *out.marginal_cost_curve; // the cumulative curve a later zero call reports + if (!global) s.next_epoch.support = created ? prep.edges : cur.support; + s.next_epoch.program = program; + s.next_epoch.by_tunnel = out.by_tunnel; + s.next_epoch.requested = requested; + s.next_epoch.prepared = true; + s.next_epoch.infinite = cur.infinite || !v.has_value(); return s; } // ---------------------------------------------------------------- forwarding a program // The by_tunnel rows of a forwarding: per tunnel its status in the view and its amounts -// (`assigned`, `delivered`, `dropped` per program entry). +// (assigned, delivered and dropped amounts per program entry). std::vector tunnel_rows(const ForwardingView& view, std::span assigned, std::span delivered, std::span dropped) { const ProgramData& p = *view.data; std::vector rows; rows.reserve(p.tunnels.size()); for (std::size_t t = 0; t < p.tunnels.size(); ++t) { - const auto e = static_cast(p.tunnel_entry[t]); - rows.push_back(TunnelFlow {p.tunnels[t].index, p.tunnels[t].head, view.status(e), assigned[e], delivered[e], dropped[e]}); + const auto e = static_cast(p.tunnel_entry_positions[t]); + rows.push_back(TunnelFlow {p.tunnels[t].entry_id, p.tunnels[t].head, view.status(e), assigned[e], delivered[e], dropped[e]}); } return rows; } // The free capacity of the forwarding's edges in the call's working residual. -FreeFn free_of(const Working& W) { +AvailableCapacityFn available_capacity_reader(const ServiceCapacityWorkspace& W) { return [&W](std::span edges, std::span out) { for (std::size_t i = 0; i < edges.size(); ++i) out[i] = W.at(edges[i]); }; @@ -1309,15 +1310,15 @@ FreeFn free_of(const Working& W) { // positive weight whose route has a member. bool view_active(const ForwardingView& v) { const auto& p = *v.data; - for (std::size_t h = 0; h < v.num_heads(); ++h) { - if (!v.weights().empty() && v.weights()[h] == 0) continue; - for (const std::int32_t ei : v.head_entries(h)) { + for (std::size_t h = 0; h < v.num_sources(); ++h) { + if (!v.source_weights().empty() && v.source_weights()[h] == 0) continue; + for (const std::int32_t ei : v.entries_for_source(h)) { const auto e = static_cast(ei); const auto& entry = p.entries[e]; if (entry.weight == 0) continue; - if (entry.tunnel >= 0) return true; - const auto r = v.root_of(e); - if (r >= 0 && v.plan(static_cast(entry.context))->root_pos[static_cast(r)] >= 0) return true; + if (entry.tunnel_position >= 0) return true; + const auto r = v.context_source_index(e); + if (r >= 0 && v.prepared_route(static_cast(entry.split_context_position))->source_positions[static_cast(r)] >= 0) return true; } } return false; @@ -1328,24 +1329,24 @@ bool view_active(const ForwardingView& v) { // forward. `active`: some head can place traffic (view_active). With `holds` (a T1 policy's own // program), each up tunnel's record holds its request on every edge of its path; `plan` is the // result's and the epoch's. -Staged forward_entries(const PolicyEngine& pe, const Epoch& cur, Working& W, const Request& rq, +PendingPolicyUpdate forward_entries(const PolicyEngine& pe, const PolicyEpoch& cur, ServiceCapacityWorkspace& W, const PolicyCall& rq, const ForwardingProgram* before_program, const ForwardingView& view, bool active, bool holds, std::shared_ptr plan) { const auto& g = *pe.graph; - const auto v = rq.v; + const auto v = rq.offer; const ProgramData& p = *view.data; const std::size_t n = p.entries.size(); - const std::size_t k = view.num_heads(); + const std::size_t k = view.num_sources(); const bool lossy = pe.config.admission == Admission::Lossy; const bool created = !cur.prepared; // The entries' live records (none before the first call). std::vector before; if (!created) { before.resize(n); - for (std::size_t e = 0; e < n; ++e) before[e] = &LedgerAccess::live(pe.fg, cur.cohorts[e].front().id); + for (std::size_t e = 0; e < n; ++e) before[e] = &LedgerAccess::live(pe.ledger, cur.record_groups[e].front().record_counter); } ProgramFlow flow; - Amount placed = 0; + Amount call_delivered = 0; Counter128 offered = cur.offered; if (!lossy) { // The largest total in [admitted, admitted + v] on the residual plus the policy's own load. @@ -1356,65 +1357,65 @@ Staged forward_entries(const PolicyEngine& pe, const Epoch& cur, Working& W, con } if (!created) W.release_records(before); const std::optional hi = v.has_value() ? std::optional(admitted + *v) : std::nullopt; - flow = detail::lossless(g, view, free_of(W), admitted, hi); - placed = flow.total - admitted; + flow = detail::lossless(g, view, available_capacity_reader(W), admitted, hi); + call_delivered = flow.admitted - admitted; } else { std::vector inject(k, 0); - if (rq.full()) { - head_shares(view, *v, inject); + if (rq.is_full_offer()) { + source_shares(view, *v, inject); } else { - head_increments(view, cur.offered, *v, inject); + source_offer_increments(view, cur.offered, *v, inject); } - flow = detail::lossy(g, view, free_of(W), inject); - placed = flow.delivered; + flow = detail::lossy(g, view, available_capacity_reader(W), inject); + call_delivered = flow.delivered; // The whole offer is sent: what no head receives (every remaining captured weight 0) is lost at // the sources, outside every row. - flow.source_loss += *v - flow.offered; + flow.source_drops += *v - flow.offered; accumulate(offered, c128(*v), "offered"); } - Staged s; + PendingPolicyUpdate s; s.drafts.resize(n); - s.next.cohorts.assign(n, {}); + s.next_epoch.record_groups.assign(n, {}); // The by_tunnel amounts per entry, kept only when the program has tunnels (only they have rows). const bool rows = !p.tunnels.empty(); std::vector assigned(rows ? n : 0); std::vector delivered(rows ? n : 0, 0); std::vector dropped(rows ? n : 0); - std::vector> call_drops; + std::vector> call_edge_drops; for (std::size_t e = 0; e < n; ++e) { const auto& entry = p.entries[e]; auto& f = flow.entries[e]; LiveFlow live; - live.src = entry.head; - live.bundle = view.bundle(e); - live.cost = view.cost(e); - live.entry = entry.index; + live.source = entry.head; + live.route = view.route(e); + live.min_route_cost = view.min_route_cost(e); + live.entry_id = entry.entry_id; if (!created) { - live.id = cur.cohorts[e].front().id; - s.drafts[e].id = live.id; + live.record_counter = cur.record_groups[e].front().record_counter; + s.drafts[e].record_counter = live.record_counter; } else { s.fresh.emplace_back(e, 0); } - s.next.cohorts[e].push_back(live); + s.next_epoch.record_groups[e].push_back(live); FlowRecord& r = s.drafts[e].record; r.sources = {entry.head}; - r.destinations = pe.dests_ok; + r.destinations = pe.allowed_destinations; r.admission = pe.config.admission; - r.bundle = live.bundle; - r.route_cost = live.cost; - r.entry = entry.index; - if (holds && entry.tunnel >= 0) { - const auto& t = p.tunnels[static_cast(entry.tunnel)]; - if (t.reserved != 0) { + r.route = live.route; + r.min_route_cost = live.min_route_cost; + r.entry_id = entry.entry_id; + if (holds && entry.tunnel_position >= 0) { + const auto& t = p.tunnels[static_cast(entry.tunnel_position)]; + if (t.reserved_bandwidth != 0) { const auto path = path_of(t); - r.reserved_edges.reserve(path.size()); - for (EdgeId x : path) r.reserved_edges.emplace_back(x, t.reserved); - std::sort(r.reserved_edges.begin(), r.reserved_edges.end()); + r.edge_reservations.reserve(path.size()); + for (EdgeId x : path) r.edge_reservations.emplace_back(x, t.reserved_bandwidth); + std::sort(r.edge_reservations.begin(), r.edge_reservations.end()); } } const FlowRecord* b = created ? nullptr : before[e]; if (!lossy) { - r.edges = std::move(f.carried); + r.edge_flows = std::move(f.edge_flows); r.delivered = f.delivered; if (rows) { assigned[e] = c128(f.delivered); @@ -1422,14 +1423,14 @@ Staged forward_entries(const PolicyEngine& pe, const Epoch& cur, Working& W, con } continue; } - r.drops = plus(b != nullptr ? b->drops : std::vector> {}, f.dropped); + r.edge_drops = plus(b != nullptr ? b->edge_drops : std::vector> {}, f.edge_drops); r.offered = b != nullptr ? b->offered.value_or(Counter128 {}) : Counter128 {}; accumulate(*r.offered, c128(f.assigned), "offered"); r.delivered = (b != nullptr ? b->delivered : 0) + f.delivered; - r.edges = b != nullptr ? plus(b->edges, f.carried) : std::move(f.carried); - call_drops.insert(call_drops.end(), f.dropped.begin(), f.dropped.end()); + r.edge_flows = b != nullptr ? plus(b->edge_flows, f.edge_flows) : std::move(f.edge_flows); + call_edge_drops.insert(call_edge_drops.end(), f.edge_drops.begin(), f.edge_drops.end()); Counter128 drops; - for (const auto& [x, d] : r.drops) accumulate(drops, d, "drops"); + for (const auto& [x, d] : r.edge_drops) accumulate(drops, d, "drops"); if (rows) { assigned[e] = *r.offered; delivered[e] = r.delivered; @@ -1439,156 +1440,156 @@ Staged forward_entries(const PolicyEngine& pe, const Epoch& cur, Working& W, con // The shares the heads lost themselves (Lossy): per view head, cumulative. std::vector> lost; if (lossy) { - s.next.head_lost = cur.head_lost.empty() ? std::vector(k) : cur.head_lost; + s.next_epoch.source_drops_by_source = cur.source_drops_by_source.empty() ? std::vector(k) : cur.source_drops_by_source; for (std::size_t h = 0; h < k; ++h) { - accumulate(s.next.head_lost[h], c128(flow.head_lost[h]), "offered"); - if (!s.next.head_lost[h].is_zero()) lost.emplace_back(view.head(h), s.next.head_lost[h]); + accumulate(s.next_epoch.source_drops_by_source[h], c128(flow.source_drops_by_source[h]), "offered"); + if (!s.next_epoch.source_drops_by_source[h].is_zero()) lost.emplace_back(view.source(h), s.next_epoch.source_drops_by_source[h]); } } const Counter128 requested = requested_after(cur, v); - PlacementResult& out = s.out; - out.placed = placed; - if (v.has_value()) out.remaining = *v - placed; - out.delivery_delta = placed; - if (lossy) out.call_drops = merged(std::move(call_drops)); - out.call_source_loss = flow.source_loss; + PlacementResult& out = s.result; + out.call_delivered = call_delivered; + if (v.has_value()) out.call_undelivered = *v - call_delivered; + out.delivery_delta = call_delivered; + if (lossy) out.call_edge_drops = merged(std::move(call_edge_drops)); + out.call_source_drops = flow.source_drops; // No head reaches a destination (every entry failed): NO_ROUTE, the records kept per entry. - out.termination = k == 0 ? Termination::NoRoute : forwarding_termination(active, p.has_path(), lossy, v, placed); - set_flags(out, before_program, view.program.get(), is(pe)); + out.termination = k == 0 ? Termination::NoRoute : forwarding_termination(active, p.has_path(), lossy, v, call_delivered); + set_flags(out, before_program, view.program.get(), is(pe)); out.program = view.program; if (plan) out.plan = *plan; out.by_tunnel = tunnel_rows(view, assigned, delivered, dropped); fill_state(pe, draft_records(s.drafts), requested, cur.infinite || !v.has_value(), offered, out, lost); - s.next.program = view.program; - s.next.plan = std::move(plan); - s.next.by_tunnel = out.by_tunnel; - s.next.requested = requested; - s.next.offered = offered; - s.next.prepared = true; - s.next.infinite = cur.infinite || !v.has_value(); + s.next_epoch.program = view.program; + s.next_epoch.plan = std::move(plan); + s.next_epoch.by_tunnel = out.by_tunnel; + s.next_epoch.requested = requested; + s.next_epoch.offered = offered; + s.next_epoch.prepared = true; + s.next_epoch.infinite = cur.infinite || !v.has_value(); return s; } // Pinned: forwarding its program as the policy replays it (place, evaluate, replace); no holds. -Staged place_pinned(const PolicyEngine& pe, const Epoch& cur, Working& W, const Request& rq, +PendingPolicyUpdate place_pinned(const PolicyEngine& pe, const PolicyEpoch& cur, ServiceCapacityWorkspace& W, const PolicyCall& rq, const ForwardingProgram* before_program) { - return forward_entries(pe, cur, W, rq, before_program, pe.view, pe.active, false, nullptr); + return forward_entries(pe, cur, W, rq, before_program, pe.view, pe.can_forward, false, nullptr); } // T1's setup view U: the reservation baseline minus every hold, this policy's own holds released // (never above static capacity: R0 <= capacity and the own holds are part of S). std::vector reservation_view(const PolicyEngine& pe) { - const auto r0 = LedgerAccess::reservation_baseline(pe.fg); - const auto held = LedgerAccess::reserved(pe.fg); + const auto r0 = LedgerAccess::reservation_baseline(pe.ledger); + const auto held = LedgerAccess::reserved(pe.ledger); std::vector U(r0.begin(), r0.end()); if (!held.empty()) { for (std::size_t e = 0; e < U.size(); ++e) U[e] -= held[e]; } for (const FlowRecord* r : current_records(pe)) { - for (const auto& [e, x] : r->reserved_edges) U[static_cast(e)] += x; + for (const auto& [e, x] : r->edge_reservations) U[static_cast(e)] += x; } return U; } // The design volume of a tunnel model's call: the explicit design, or the offer (nullopt: // unlimited; T1's is finite, checked by check_call). -std::optional design_of(const Request& rq) noexcept { return rq.design.has_value() ? *rq.design : rq.v; } +std::optional design_of(const PolicyCall& rq) noexcept { return rq.design.has_value() ? *rq.design : rq.offer; } // The plan of a T1 setup for the design D: the tunnel count, D, the heads' shares and the holds // of the up tunnels counted once each. -TunnelPlan t1_plan(const PolicyEngine& pe, Amount D, const ForwardingProgram* program) { +TunnelPlan distributed_te_plan(const PolicyEngine& pe, Amount D, const ForwardingProgram* program) { TunnelPlan plan; - plan.count = std::get(pe.config.routing).tunnels.count; + plan.tunnels_per_head = std::get(pe.config.routing).tunnel_count.per_head; plan.design_demand = D; - plan.head_design = head_design(pe.roster, D); + plan.design_by_head = design_by_head(pe.reachable_sources, D); if (program != nullptr) { - for (const auto& t : program->tunnels()) plan.reserved_total += t.reserved; + for (const auto& t : program->tunnels()) plan.total_reserved_bandwidth += t.reserved_bandwidth; } return plan; } // The tunnel models' forward(): the installed program forwarded with its plan (and the call's // black holes), records per program entry, T1's holds kept. -Staged forward_tunnels(const PolicyEngine& pe, const Epoch& cur, Working& W, const Request& rq, +PendingPolicyUpdate forward_tunnels(const PolicyEngine& pe, const PolicyEpoch& cur, ServiceCapacityWorkspace& W, const PolicyCall& rq, const ForwardingProgram* before_program) { - const ForwardingView view = make_view(*pe.graph, pe.epoch.program, nullptr, pe.dests_ok, rq.dark, true); - return forward_entries(pe, cur, W, rq, before_program, view, view_active(view), is(pe), pe.epoch.plan); + const ForwardingView view = make_forwarding_view(*pe.graph, pe.epoch.program, nullptr, pe.allowed_destinations, rq.black_holes, true); + return forward_entries(pe, cur, W, rq, before_program, view, view_active(view), is(pe), pe.epoch.plan); } // T1: replace and evaluate set up the tunnels for the design on the unreserved view and forward // the new program, one record per entry. -Staged place_t1(const PolicyEngine& pe, const Epoch& cur, Working& W, const Request& rq, +PendingPolicyUpdate apply_distributed_te_call(const PolicyEngine& pe, const PolicyEpoch& cur, ServiceCapacityWorkspace& W, const PolicyCall& rq, const ForwardingProgram* before_program) { const auto& g = *pe.graph; const Amount D = *design_of(rq); - const auto& ca = std::get(pe.config.routing); - auto tunnels = t1_setup(g, pe.elig, pe.roster, pe.dests_ok, pe.selection, ca, pe.c0, D, reservation_view(pe)); - const auto program = tunnel_program(g, pe.sources, pe.destinations, pe.roster, std::move(tunnels), + const auto& ca = std::get(pe.config.routing); + auto tunnels = setup_distributed_te_tunnels(g, pe.eligibility, pe.reachable_sources, pe.allowed_destinations, ca, pe.c0, D, reservation_view(pe)); + const auto program = distributed_te_program(g, pe.sources, pe.destinations, pe.reachable_sources, std::move(tunnels), pe.excluded_nodes, pe.excluded_edges); - const ForwardingView view = make_view(g, program, nullptr, pe.dests_ok, nullptr, true); + const ForwardingView view = make_forwarding_view(g, program, nullptr, pe.allowed_destinations, nullptr, true); return forward_entries(pe, cur, W, rq, before_program, view, view_active(view), true, - std::make_shared(t1_plan(pe, D, program.get()))); + std::make_shared(distributed_te_plan(pe, D, program.get()))); } // The plan of a T2 layout (zeros without a tunnel) for the design D (nullopt: unlimited), with its // K tunnels and its program's forwarding bound F. TunnelPlan t2_plan(const PolicyEngine& pe, std::optional D, const T2Layout& lay, std::size_t K, Amount F) { TunnelPlan plan; - plan.count = lay.count; + plan.tunnels_per_head = lay.count; plan.design_demand = D; - if (D.has_value()) plan.head_design = head_design(pe.roster, *D); - plan.live_heads = lay.live; + if (D.has_value()) plan.design_by_head = design_by_head(pe.reachable_sources, *D); + plan.heads_with_capacity = lay.live; plan.insufficient_resolution = !lay.live.empty() && lay.common == 0; - plan.fluid_share = std::pair {lay.fluid_num, lay.fluid_den}; - plan.common_share = lay.common; - plan.planned_per_tunnel = lay.planned; - plan.planned_total = static_cast(K) * lay.planned; - plan.route_cost = lay.route_cost; - if (std::get(pe.config.routing).prefer_headroom) plan.headroom_penalty = lay.headroom_penalty; - plan.forwarding_bound = F; + plan.max_fractional_bandwidth_per_tunnel = std::pair {lay.fluid_num, lay.fluid_den}; + plan.max_bandwidth_per_tunnel = lay.common; + plan.planned_bandwidth_per_tunnel = lay.planned; + plan.total_planned_bandwidth = static_cast(K) * lay.planned; + plan.total_tunnel_cost = lay.route_cost; + if (std::get(pe.config.routing).prefer_headroom) plan.headroom_penalty = lay.headroom_penalty; + plan.max_lossless_offer = F; return plan; } // T2: replace and evaluate lay out the tunnels for the design on the released residual and // forward the new program, one record per entry; the plan's forwarding bound is the program's // lossless maximum on that view. -Staged place_t2(const PolicyEngine& pe, const Epoch& cur, Working& W, const Request& rq, +PendingPolicyUpdate place_t2(const PolicyEngine& pe, const PolicyEpoch& cur, ServiceCapacityWorkspace& W, const PolicyCall& rq, const ForwardingProgram* before_program) { const auto& g = *pe.graph; const std::optional D = design_of(rq); std::vector V; W.dense(V); - const auto& gl = std::get(pe.config.routing); - auto lay = t2_layout(g, pe.elig, pe.roster, pe.dests_ok, *gl.tunnels, gl.prefer_headroom, D, V); - const auto program = tunnel_program(g, pe.sources, pe.destinations, pe.roster, std::move(lay.tunnels), + const auto& gl = std::get(pe.config.routing); + auto lay = t2_layout(g, pe.eligibility, pe.reachable_sources, pe.allowed_destinations, *gl.tunnel_count, gl.prefer_headroom, D, V); + const auto program = distributed_te_program(g, pe.sources, pe.destinations, pe.reachable_sources, std::move(lay.tunnels), pe.excluded_nodes, pe.excluded_edges); - const ForwardingView view = make_view(g, program, nullptr, pe.dests_ok, nullptr, true); - const Amount F = detail::lossless(g, view, free_of(W), 0, std::nullopt).total; + const ForwardingView view = make_forwarding_view(g, program, nullptr, pe.allowed_destinations, nullptr, true); + const Amount F = detail::lossless(g, view, available_capacity_reader(W), 0, std::nullopt).admitted; return forward_entries(pe, cur, W, rq, before_program, view, view_active(view), false, std::make_shared(t2_plan(pe, D, lay, program->tunnels().size(), F))); } // forward(): a computing model's installed program forwarded with no route computation, on the -// released view, records per roster source (CostOnly and Global). -Staged forward_installed(const PolicyEngine& pe, Working& W, const Request& rq) { +// released view, records per roster source (ShortestPaths and CentralizedTE). +PendingPolicyUpdate forward_installed(const PolicyEngine& pe, ServiceCapacityWorkspace& W, const PolicyCall& rq) { const auto& g = *pe.graph; - const auto v = rq.v; + const auto v = rq.offer; const auto& program = pe.epoch.program; - const ForwardingView view = make_view(g, program, nullptr, pe.dests_ok, rq.dark); + const ForwardingView view = make_forwarding_view(g, program, nullptr, pe.allowed_destinations, rq.black_holes); const ProgramData& p = *view.data; - const std::size_t k = pe.roster.size(); + const std::size_t k = pe.reachable_sources.size(); const std::size_t n = p.entries.size(); const bool lossy = pe.config.admission == Admission::Lossy; ProgramFlow flow; if (!lossy) { - flow = detail::lossless(g, view, free_of(W), 0, v); + flow = detail::lossless(g, view, available_capacity_reader(W), 0, v); } else { std::vector inject(k, 0); - head_shares(view, *v, inject); - flow = detail::lossy(g, view, free_of(W), inject); + source_shares(view, *v, inject); + flow = detail::lossy(g, view, available_capacity_reader(W), inject); } - Staged s; - s.next = fresh_epoch(pe, true); + PendingPolicyUpdate s; + s.next_epoch = fresh_epoch(pe, true); std::vector flows(k); // Per roster source: its entries' carried, drops and deliveries summed (the view's heads are the // roster: nothing is replayed). @@ -1596,36 +1597,36 @@ Staged forward_installed(const PolicyEngine& pe, Working& W, const Request& rq) std::vector>> drops(k); std::vector got(k, 0); for (std::size_t e = 0; e < n; ++e) { - const auto slot = static_cast(p.entries[e].slot); + const auto slot = static_cast(p.entries[e].roster_index); const auto& f = flow.entries[e]; - carried[slot].insert(carried[slot].end(), f.carried.begin(), f.carried.end()); - drops[slot].insert(drops[slot].end(), f.dropped.begin(), f.dropped.end()); + carried[slot].insert(carried[slot].end(), f.edge_flows.begin(), f.edge_flows.end()); + drops[slot].insert(drops[slot].end(), f.edge_drops.begin(), f.edge_drops.end()); got[slot] += f.delivered; } for (std::size_t i = 0; i < k; ++i) { - flows[i] = pe.epoch.cohorts[i].front(); - flows[i].id = -1; + flows[i] = pe.epoch.record_groups[i].front(); + flows[i].record_counter = -1; carried[i] = merged(std::move(carried[i])); drops[i] = merged(std::move(drops[i])); - if (is(pe)) { - // Global's record bundle is the edges its share uses. + if (is(pe)) { + // CentralizedTE's record route is the edges its share uses. std::vector route; route.reserve(carried[i].size()); for (const auto& [e, x] : carried[i]) route.push_back(e); - flows[i].bundle = std::make_shared(PredDAGBuilder::of_edges(g, route)); - flows[i].cost = route.empty() ? kUnreachable : route_cost(g, *flows[i].bundle, pe.roster[i], pe.dests_ok); + flows[i].route = std::make_shared(PredecessorDAGBuilder::of_edges(g, route)); + flows[i].min_route_cost = route.empty() ? kUnreachable : min_route_cost(g, *flows[i].route, pe.reachable_sources[i], pe.allowed_destinations); } } source_drafts(pe, flows, s); - std::vector> call_drops; + std::vector> call_edge_drops; for (std::size_t i = 0; i < k; ++i) { FlowRecord& r = s.drafts[i].record; - r.edges = carried[i]; + r.edge_flows = carried[i]; r.delivered = got[i]; if (!lossy) continue; - r.drops = plus(std::vector> {}, drops[i]); - r.offered = c128(flow.head_offered[i]); - call_drops.insert(call_drops.end(), drops[i].begin(), drops[i].end()); + r.edge_drops = plus(std::vector> {}, drops[i]); + r.offered = c128(flow.offered_by_source[i]); + call_edge_drops.insert(call_edge_drops.end(), drops[i].begin(), drops[i].end()); } std::vector assigned(n); std::vector delivered(n, 0); @@ -1634,31 +1635,31 @@ Staged forward_installed(const PolicyEngine& pe, Working& W, const Request& rq) const auto& f = flow.entries[e]; assigned[e] = c128(lossy ? f.assigned : f.delivered); delivered[e] = f.delivered; - for (const auto& [x, d] : f.dropped) accumulate(dropped[e], c128(d), "drops"); + for (const auto& [x, d] : f.edge_drops) accumulate(dropped[e], c128(d), "drops"); } const Counter128 requested = v.has_value() ? c128(*v) : Counter128 {}; const Counter128 offered = lossy ? c128(flow.offered) : Counter128 {}; - PlacementResult& out = s.out; - out.placed = lossy ? flow.delivered : flow.total; - if (v.has_value()) out.remaining = *v - out.placed; - out.call_drops = merged(std::move(call_drops)); - out.call_source_loss = flow.source_loss; + PlacementResult& out = s.result; + out.call_delivered = lossy ? flow.delivered : flow.admitted; + if (v.has_value()) out.call_undelivered = *v - out.call_delivered; + out.call_edge_drops = merged(std::move(call_edge_drops)); + out.call_source_drops = flow.source_drops; bool active = false; - for (std::size_t h = 0; h < view.num_heads() && !active; ++h) { - for (const std::int32_t e : view.head_entries(h)) active = active || p.entries[static_cast(e)].weight > 0; + for (std::size_t h = 0; h < view.num_sources() && !active; ++h) { + for (const std::int32_t e : view.entries_for_source(h)) active = active || p.entries[static_cast(e)].weight > 0; } - if (p.pooled) active = !view.plan(0)->members.empty(); - out.termination = forwarding_termination(active, p.has_path(), lossy, v, out.placed); + if (p.pools_source_inflows) active = !view.prepared_route(0)->forwarding_edges.empty(); + out.termination = forwarding_termination(active, p.has_path(), lossy, v, out.call_delivered); out.program = program; out.by_tunnel = tunnel_rows(view, assigned, delivered, dropped); const auto after = draft_records(s.drafts); fill_state(pe, after, requested, !v.has_value(), offered, out); - if (controller(pe)) out.total_cost = total_cost_of(g, after); - s.next.by_tunnel = out.by_tunnel; - s.next.requested = requested; - s.next.offered = offered; - s.next.prepared = true; - s.next.infinite = !v.has_value(); + if (uses_optimized_flow(pe)) out.total_cost = total_cost_of(g, after); + s.next_epoch.by_tunnel = out.by_tunnel; + s.next_epoch.requested = requested; + s.next_epoch.offered = offered; + s.next_epoch.prepared = true; + s.next_epoch.infinite = !v.has_value(); return s; } @@ -1667,120 +1668,134 @@ Staged forward_installed(const PolicyEngine& pe, Working& W, const Request& rq) } // namespace const char* model_name(const Routing& r) noexcept { - if (std::holds_alternative(r)) return "CostOnly"; - if (is_t2(r)) return "T2"; - if (std::holds_alternative(r)) return "Global"; - if (std::holds_alternative(r)) return "T1"; + if (std::holds_alternative(r)) return "ShortestPaths"; + if (is_t2(r)) return "CentralizedTE with tunnel_count"; + if (std::holds_alternative(r)) return "CentralizedTE"; + if (std::holds_alternative(r)) return "DistributedTE"; return "Pinned"; } -ResolvedAxes resolve_config(const FlowPolicyConfig& cfg, bool cache, std::int32_t num_edges) { - const auto& r = cfg.routing; +const char* model_class(const Routing& r) noexcept { + if (std::holds_alternative(r)) return "ShortestPaths"; + if (std::holds_alternative(r)) return "CentralizedTE"; + if (std::holds_alternative(r)) return "DistributedTE"; + return "Pinned"; +} + +namespace { + +// T2's several-sources rule: OPTIMIZED with one input source is the equal calculation; with several +// it would be another (strongly NP-hard) problem. +void check_t2_sources(const Routing& r, std::size_t num_sources) { + const auto* gl = std::get_if(&r); + if (gl != nullptr && gl->tunnel_count.has_value() && num_sources > 1 && gl->source_allocation == SourceAllocation::Optimized) { + invalid("CentralizedTE with tunnel_count and several sources requires source_allocation=EQUAL"); + } +} + +// The pooled single-path rule: a bottleneck choice would differ per source at a shared router. +void check_pooled_single_path(const Routing& r, std::size_t num_sources) { + const auto* sp = std::get_if(&r); + if (sp != nullptr && num_sources > 1 && !sp->multipath && detail::RouteChoice {sp->tie_break}.prefers_score()) { + invalid("ShortestPaths with multiple input sources requires tie_break=FEWER_HOPS when multipath=False"); + } +} + +} // namespace + +void check_config(const FlowPolicyConfig& config, bool cache, std::int32_t num_edges, std::optional num_sources) { + const auto& r = config.routing; if (r.valueless_by_exception()) invalid("routing: the variant holds no routing mode"); // The enumeration values. - if (cfg.placement.has_value()) check_member(*cfg.placement, "placement"); - check_member(cfg.admission, "admission"); - if (cfg.origin.has_value()) check_member(*cfg.origin, "origin"); - if (cfg.selection.has_value()) check_selection(*cfg.selection); - if (cfg.weights.has_value()) check_member(*cfg.weights, "weights"); - // The model's row (Global: no selection, then support and tunnels together decide it, then - // prefer_headroom needs tunnels; T1: an "up to" count is not T1's row), its columns left to - // right: placement, origin, admission, selection, weights (with edge_weights). - ResolvedAxes out {cfg.selection, cfg.origin, cfg.weights}; - const bool cost_only = std::holds_alternative(r); - const auto* gl = std::get_if(&r); - const auto* t1 = std::get_if(&r); - const bool pinned = std::holds_alternative(r); - if (gl != nullptr) { - if (cfg.selection.has_value()) invalid("Global does not accept selection"); - if (gl->support && gl->tunnels.has_value()) invalid("Global support and tunnels are mutually exclusive"); - if (gl->prefer_headroom && !gl->tunnels.has_value()) invalid("prefer_headroom requires tunnels"); - } + check_member(config.admission, "admission"); + const auto* sp = std::get_if(&r); + const auto* gl = std::get_if(&r); + const auto* t1 = std::get_if(&r); + if (sp != nullptr) { + check_member(sp->allocation, "allocation"); + if (sp->source_allocation.has_value()) check_member(*sp->source_allocation, "source_allocation"); + if (sp->weight_basis.has_value()) check_member(*sp->weight_basis, "weight_basis"); + check_member(sp->tie_break, "tie_break"); + } + if (gl != nullptr) check_member(gl->source_allocation, "source_allocation"); + if (t1 != nullptr) check_member(t1->tie_break, "tie_break"); const bool t2 = is_t2(r); - const bool global = gl != nullptr && !t2; - const std::string model = model_name(r); - if (t1 != nullptr && t1->tunnels.up_to) invalid("T1 requires an exact tunnel count"); - if (!cost_only) { - if (cfg.placement.has_value()) invalid(model + " does not accept placement"); - } else if (!cfg.placement.has_value()) { - invalid("CostOnly requires placement"); - } - const bool max_flow = global || (cfg.placement.has_value() && *cfg.placement == FlowPlacement::MaxFlow); - if (cost_only && !max_flow && cfg.origin == Origin::Optimized) { - invalid("CostOnly with EQUAL_BALANCED or WEIGHTED requires origin=EQUAL"); - } - if (t1 != nullptr && cfg.origin == Origin::Optimized) invalid("T1 requires origin=EQUAL"); - if (pinned && cfg.origin.has_value()) invalid("Pinned does not accept origin"); - if (!cfg.origin.has_value() && !pinned) { - out.origin = (cost_only && !max_flow) || t1 != nullptr || t2 ? Origin::Equal : Origin::Optimized; - } - if (cfg.admission == Admission::Lossy && max_flow) invalid("MAX_FLOW requires admission=LOSSLESS"); - if (pinned) { - if (cfg.selection.has_value()) invalid("Pinned does not accept selection"); - } else if (gl == nullptr) { - if (!cfg.selection.has_value()) out.selection = PathSelection(); - if (t1 != nullptr) { - // A tunnel is one path: T1 reads tie_break, priority and multi_edge. - if (out.selection->multipath == true) invalid("T1 requires multipath=False"); - } else { - check_kernel_combination(*cfg.placement, cfg.admission); + const bool lossy = config.admission == Admission::Lossy; + // The model matrix in its order: route and source allocation, admission, the route-choice + // controls, prefer_headroom, the weight combinations, then a cache on a model that does not read it. + if (sp != nullptr) { + const bool optimized = sp->allocation == RouteAllocation::Optimized; + if (!optimized && sp->source_allocation == SourceAllocation::Optimized) { + invalid("ShortestPaths with EQUAL or WEIGHTED requires source_allocation=EQUAL"); + } + if (optimized && lossy) invalid("ShortestPaths OPTIMIZED requires admission=LOSSLESS"); + if (detail::RouteChoice {sp->tie_break, sp->multipath, sp->parallel_edges}.tie_is_ineffective()) { + invalid("ShortestPaths tie_break requires multipath=False or parallel_edges=False"); } + if (num_sources.has_value()) check_pooled_single_path(r, *num_sources); + const bool weighted = sp->allocation == RouteAllocation::Weighted; + if (sp->weight_basis.has_value() && !weighted) invalid("weight_basis requires allocation=WEIGHTED"); + if (sp->weight_basis == WeightBasis::Explicit && !sp->edge_weights) invalid("weight_basis=EXPLICIT requires edge_weights"); + if (sp->edge_weights && sp->weight_basis != WeightBasis::Explicit) invalid("edge_weights require weight_basis=EXPLICIT"); } - // The weights column: CostOnly Weighted reads them (Capacity by default); another CostOnly - // placement names the placement it needs; every other model takes none. - const bool weighted = cost_only && *cfg.placement == FlowPlacement::Weighted; - if (weighted) { - if (!cfg.weights.has_value()) out.weights = WeightBasis::Capacity; - if (cfg.weights == WeightBasis::Explicit && !cfg.edge_weights) invalid("weights=EXPLICIT requires edge_weights"); - if (cfg.edge_weights && cfg.weights != WeightBasis::Explicit) invalid("edge_weights require weights=EXPLICIT"); - } else if (cost_only) { - if (cfg.weights.has_value()) invalid("weights require CostOnly placement=WEIGHTED"); - if (cfg.edge_weights) invalid("edge_weights require weights=EXPLICIT"); - } else { - if (cfg.weights.has_value()) invalid(model + " does not accept weights"); - if (cfg.edge_weights) invalid(model + " does not accept edge_weights"); + if (gl != nullptr) { + if (num_sources.has_value()) check_t2_sources(r, *num_sources); + if (!t2 && lossy) invalid("CentralizedTE without tunnel_count requires admission=LOSSLESS"); + if (gl->prefer_headroom && !t2) invalid("prefer_headroom requires tunnel_count"); } - if (cache && !cost_only) invalid(model + " does not use DagCache"); - // The tunnel models' parameters: the tunnel count; T1's cost ceiling and search minimum. - if (t2 && (gl->tunnels->count < 1 || gl->tunnels->count > kMaxTunnelCount)) invalid("tunnel count must be in [1, 10000]"); + if (cache && sp == nullptr) invalid(std::string(model_class(r)) + " does not use ShortestPathCache"); + // Then the tunnel count, an "up to" count for DistributedTE, the ceilings, the search minimum and + // edge_weights' length and entries (they need the graph). + if (t2 && (gl->tunnel_count->per_head < 1 || gl->tunnel_count->per_head > kMaxTunnelCount)) invalid("tunnel count must be in [1, 10000]"); if (t1 != nullptr) { - if (t1->tunnels.count < 1 || t1->tunnels.count > kMaxTunnelCount) invalid("tunnel count must be in [1, 10000]"); - check_ceiling(t1->max_path_cost); + if (t1->tunnel_count.per_head < 1 || t1->tunnel_count.per_head > kMaxTunnelCount) invalid("tunnel count must be in [1, 10000]"); + if (t1->tunnel_count.up_to) invalid("DistributedTE requires an exact tunnel count"); + check_ceiling(t1->cost_ceiling); if (t1->min_unreserved_bandwidth < 0 || t1->min_unreserved_bandwidth >= kDomainLimit) { invalid("min_unreserved_bandwidth must be an integer in [0, 2^62)"); } } - // edge_weights' length and entries (they need the graph). - if (weighted && cfg.edge_weights) { - const auto& w = *cfg.edge_weights; + if (sp != nullptr && sp->allocation == RouteAllocation::Weighted && sp->edge_weights) { + const auto& w = *sp->edge_weights; if (w.size() != static_cast(num_edges)) invalid("edge_weights: expected " + str(num_edges) + " entries"); for (std::size_t e = 0; e < w.size(); ++e) { if (w[e] < 0 || w[e] >= kDomainLimit) invalid("edge_weights[" + std::to_string(e) + "] must be an integer in [0, 2^62)"); } } - return out; } -void check_source_count(const FlowPolicyConfig& cfg, std::size_t num_sources, std::size_t num_destinations) { - const auto& r = cfg.routing; - (void)num_destinations; - // The pooled single-path rule: a bottleneck choice would differ per source at a shared router. - if (std::holds_alternative(r) && num_sources > 1 && cfg.selection.has_value() && - cfg.selection->single_path() && cfg.selection->tie_break == EdgeTieBreak::PreferHigherPriority) { - invalid("CostOnly with multiple input sources rejects multipath=false with PREFER_HIGHER_PRIORITY"); +void check_source_count(const FlowPolicyConfig& config, std::size_t num_sources) { + check_pooled_single_path(config.routing, num_sources); + check_t2_sources(config.routing, num_sources); +} + +FlowPolicyConfig resolved_config(FlowPolicyConfig config) { + if (auto* sp = std::get_if(&config.routing)) { + if (!sp->source_allocation.has_value()) { + sp->source_allocation = sp->allocation == RouteAllocation::Optimized ? SourceAllocation::Optimized : SourceAllocation::Equal; + } + if (sp->allocation == RouteAllocation::Weighted && !sp->weight_basis.has_value()) sp->weight_basis = WeightBasis::Capacity; + } + return config; +} + +std::optional source_allocation_of(const Routing& r) noexcept { + if (const auto* sp = std::get_if(&r)) { + return sp->source_allocation.value_or(sp->allocation == RouteAllocation::Optimized ? SourceAllocation::Optimized + : SourceAllocation::Equal); } - // T2 optimized is the equal calculation with one source; with several it would be another - // (strongly NP-hard) problem. - if (is_t2(r) && num_sources > 1 && cfg.origin == Origin::Optimized) invalid("T2 with several sources requires origin=EQUAL"); + if (const auto* gl = std::get_if(&r)) return gl->source_allocation; + if (std::holds_alternative(r)) return SourceAllocation::Equal; + return std::nullopt; } void check_tunnel_limit(const FlowPolicyConfig& cfg, std::size_t num_heads) { - const auto* t1 = std::get_if(&cfg.routing); - const auto* gl = std::get_if(&cfg.routing); - if (t1 == nullptr && (gl == nullptr || !gl->tunnels.has_value())) return; - // The count (the largest for "up to") is in [1, 10000] (resolve_config) and H < 2^31: the + const auto* t1 = std::get_if(&cfg.routing); + const auto* gl = std::get_if(&cfg.routing); + if (t1 == nullptr && (gl == nullptr || !gl->tunnel_count.has_value())) return; + // The count (the largest for "up to") is in [1, 10000] (check_config) and H < 2^31: the // product fits 64 bits. - const std::int64_t count = t1 != nullptr ? t1->tunnels.count : gl->tunnels->count; + const std::int64_t count = t1 != nullptr ? t1->tunnel_count.per_head : gl->tunnel_count->per_head; const auto heads = static_cast(num_heads); if (heads * count > kMaxTunnels) { invalid("tunnel limit exceeded: " + str(heads) + " heads x " + str(count) + " tunnels > " + str(kMaxTunnels)); @@ -1801,7 +1816,7 @@ namespace { // succeeded, an evaluator once its whole call has. std::unique_ptr make_engine(FlowLedger& ledger, std::span sources, std::span destinations, FlowPolicyConfig config, - const Eligibility* elig, DagCache* cache, detail::FrozenTally& tally) { + const Eligibility* eligibility, ShortestPathCache* cache, detail::FrozenCacheHitTally& tally) { auto pe = std::make_unique(ledger, std::move(config)); pe->graph = ledger.graph(); const auto& g = *pe->graph; @@ -1810,11 +1825,11 @@ std::unique_ptr make_engine(FlowLedger& ledger, std::spansources = detail::node_set(sources, g.num_nodes(), "sources"); pe->destinations = detail::node_set(destinations, g.num_nodes(), "destinations"); detail::check_disjoint(pe->sources, pe->destinations, "sources", "destinations"); - if (elig != nullptr && elig->graph_uid() != g.uid()) { + if (eligibility != nullptr && eligibility->graph_uid() != g.uid()) { throw std::invalid_argument("foreign Eligibility: built for another graph"); } const auto* pinned = std::get_if(&pe->config.routing); - const auto* global = std::get_if(&pe->config.routing); + const auto* global = std::get_if(&pe->config.routing); if (pinned != nullptr) { if (!pinned->program) throw std::invalid_argument("Pinned requires a program"); if (pinned->program->graph_uid() != g.uid()) throw std::invalid_argument("program belongs to another graph"); @@ -1823,17 +1838,31 @@ std::unique_ptr make_engine(FlowLedger& ledger, std::spangraph_uid() != g.uid()) { - throw std::invalid_argument("foreign DagCache: bound to another graph"); + throw std::invalid_argument("foreign ShortestPathCache: bound to another graph"); } if (pinned != nullptr && pinned->black_holes && pinned->black_holes->graph_uid() != g.uid()) { throw std::invalid_argument("black_holes belongs to another graph"); } - pe->elig = elig; - const auto axes = detail::resolve_config(pe->config, cache != nullptr, g.num_edges()); - pe->config.selection = axes.selection; - pe->config.origin = axes.origin; - pe->config.weights = axes.weights; - detail::check_source_count(pe->config, pe->sources.size(), pe->destinations.size()); + pe->eligibility = eligibility; + detail::check_config(pe->config, cache != nullptr, g.num_edges(), pe->sources.size()); + pe->config = detail::resolved_config(std::move(pe->config)); + if (global != nullptr && global->support && global->tunnel_count.has_value()) { + // T2 on a support: the support's edges intersected with the mask are the allowed links of every + // step (roster, sizing, objectives, decomposition, the programs' replay basis). + std::vector xn; + std::vector xe; + const auto kept = detail::PredecessorDAGBuilder::ascending(*global->support); + for (NodeId v = 0; v < g.num_nodes(); ++v) { + if (eligibility != nullptr && !eligibility->allows_node(v)) xn.push_back(v); + } + for (EdgeId e = 0; e < g.num_edges(); ++e) { + const bool in_support = std::binary_search(kept.begin(), kept.end(), e); + if (!in_support || (eligibility != nullptr && !eligibility->allows_edge(e))) xe.push_back(e); + } + pe->support_mask = std::make_unique(g.eligibility(xn, xe)); + eligibility = pe->support_mask.get(); + pe->eligibility = eligibility; + } if (pinned != nullptr) { const auto& prog = *pinned->program; if (!std::equal(prog.sources().begin(), prog.sources().end(), pe->sources.begin(), pe->sources.end()) || @@ -1842,71 +1871,75 @@ std::unique_ptr make_engine(FlowLedger& ledger, std::spanconfig.selection.has_value()) pe->selection = *pe->config.selection; - if (pe->config.origin.has_value()) pe->origin = *pe->config.origin; - auto node_ok = [&](NodeId v) { return elig == nullptr || elig->node_ok(v); }; + if (const auto* sp = std::get_if(&pe->config.routing)) { + pe->route_choice = detail::RouteChoice {sp->tie_break, sp->multipath, sp->parallel_edges}; + } else if (const auto* ca = std::get_if(&pe->config.routing)) { + pe->route_choice = detail::RouteChoice {ca->tie_break, false, ca->parallel_edges}; + } + if (const auto s = detail::source_allocation_of(pe->config.routing)) pe->source_allocation = *s; + auto node_allowed = [&](NodeId v) { return eligibility == nullptr || eligibility->allows_node(v); }; for (NodeId d : pe->destinations) { - if (node_ok(d)) pe->dests_ok.push_back(d); + if (node_allowed(d)) pe->allowed_destinations.push_back(d); } if (pinned != nullptr) { // The program as this policy forwards it: replayed under the mask, the black holes laid over. - pe->view = detail::make_view(g, pinned->program, elig, pe->dests_ok, pinned->black_holes.get(), true); - for (std::size_t h = 0; h < pe->view.num_heads(); ++h) pe->roster.push_back(pe->view.head(h)); - pe->active = detail::view_active(pe->view); - pe->epoch.cohorts.resize(detail::ProgramAccess::data(*pinned->program).entries.size()); - pe->owner = LedgerAccess::bind(ledger); + pe->view = detail::make_forwarding_view(g, pinned->program, eligibility, pe->allowed_destinations, pinned->black_holes.get(), true); + for (std::size_t h = 0; h < pe->view.num_sources(); ++h) pe->reachable_sources.push_back(pe->view.source(h)); + pe->can_forward = detail::view_active(pe->view); + pe->epoch.record_groups.resize(detail::ProgramAccess::data(*pinned->program).entries.size()); + pe->policy_id = LedgerAccess::bind(ledger); return pe; } - if (detail::is(*pe)) { + if (detail::is(*pe)) { pe->support = cache != nullptr - ? detail::DagCacheAccess::lookup(*cache, g, pe->destinations, Direction::Reverse, elig, tally) - : std::make_shared(detail::static_support(g, pe->destinations, Direction::Reverse, elig)); - const auto edges = detail::PredDAGBuilder::ascending(*pe->support); - const auto row = g.row_offsets(); + ? detail::DagCacheAccess::lookup(*cache, g, pe->destinations, Direction::Reverse, eligibility, tally) + : std::make_shared(detail::static_support(g, pe->destinations, Direction::Reverse, eligibility)); + const auto edges = detail::PredecessorDAGBuilder::ascending(*pe->support); + const auto row = g.outgoing_offsets(); for (NodeId s : pe->sources) { - if (!node_ok(s)) continue; + if (!node_allowed(s)) continue; const auto it = std::lower_bound(edges.begin(), edges.end(), row[static_cast(s)]); - if (it != edges.end() && *it < row[static_cast(s) + 1]) pe->roster.push_back(s); + if (it != edges.end() && *it < row[static_cast(s) + 1]) pe->reachable_sources.push_back(s); } - } else if (global != nullptr && global->support) { + } else if (global != nullptr && global->support && !global->tunnel_count.has_value()) { // The support trimmed to the walks from the sources to the allowed destinations under the mask; // the roster is the sources that reach one inside it. std::vector trimmed; for (NodeId s : pe->sources) { - if (!node_ok(s)) continue; - auto part = detail::prune(g, *global->support, s, pe->dests_ok, elig); + if (!node_allowed(s)) continue; + auto part = detail::prune(g, *global->support, s, pe->allowed_destinations, eligibility); if (part.empty()) continue; - pe->roster.push_back(s); + pe->reachable_sources.push_back(s); trimmed.insert(trimmed.end(), part.begin(), part.end()); } std::sort(trimmed.begin(), trimmed.end()); trimmed.erase(std::unique(trimmed.begin(), trimmed.end()), trimmed.end()); - pe->global_support = std::make_shared>(std::move(trimmed)); + pe->centralized_te_support = std::make_shared>(std::move(trimmed)); } else { - // The static costs fix the roster (unrestricted Global, T1 and T2); T1's Stretch baseline c0 + // The static costs fix the roster (unrestricted CentralizedTE, T1 and T2); T1's CostStretch baseline c0 // is their minimum over the roster heads (zero-capacity edges included, before any filter). - const auto dist = detail::static_costs(g, elig, pe->dests_ok, pe->sources); + const auto dist = detail::static_costs(g, eligibility, pe->allowed_destinations, pe->sources); pe->c0 = kUnreachable; for (std::size_t i = 0; i < pe->sources.size(); ++i) { const NodeId s = pe->sources[i]; - if (!node_ok(s) || dist[i] == kUnreachable) continue; - pe->roster.push_back(s); + if (!node_allowed(s) || dist[i] == kUnreachable) continue; + pe->reachable_sources.push_back(s); pe->c0 = std::min(pe->c0, dist[i]); } - detail::check_tunnel_limit(pe->config, pe->roster.size()); - if (elig != nullptr && elig->uid() != 0) { + detail::check_tunnel_limit(pe->config, pe->reachable_sources.size()); + if (eligibility != nullptr && eligibility->uid() != 0) { // Its programs' replay basis: the topology under this mask. for (NodeId v = 0; v < g.num_nodes(); ++v) { - if (!elig->node_ok(v)) pe->excluded_nodes.push_back(v); + if (!eligibility->allows_node(v)) pe->excluded_nodes.push_back(v); } for (EdgeId e = 0; e < g.num_edges(); ++e) { - if (!elig->edge_ok(e)) pe->excluded_edges.push_back(e); + if (!eligibility->allows_edge(e)) pe->excluded_edges.push_back(e); } } } // The tunnel models' cohorts are per program entry, sized by their first call. - if (!detail::tunnel_model(*pe)) pe->epoch.cohorts.resize(pe->roster.size()); - pe->owner = LedgerAccess::bind(ledger); // last: nothing is bound when construction fails + if (!detail::tunnel_model(*pe)) pe->epoch.record_groups.resize(pe->reachable_sources.size()); + pe->policy_id = LedgerAccess::bind(ledger); // last: nothing is bound when construction fails return pe; } @@ -1914,17 +1947,17 @@ std::unique_ptr make_engine(FlowLedger& ledger, std::span sources, std::span destinations, - FlowPolicyConfig config, const Eligibility* elig, DagCache* cache) - : engine_(detail::frozen_call(cache, [&](detail::FrozenTally& tally) { - return make_engine(ledger, sources, destinations, std::move(config), elig, cache, tally); + FlowPolicyConfig config, const Eligibility* eligibility, ShortestPathCache* cache) + : engine_(detail::frozen_call(cache, [&](detail::FrozenCacheHitTally& tally) { + return make_engine(ledger, sources, destinations, std::move(config), eligibility, cache, tally); })) {} FlowPolicy::FlowPolicy(FlowLedger& ledger, std::span sources, std::span destinations, - FlowPolicyConfig config, const Eligibility* elig, DagCache* cache, detail::FrozenTally& tally) - : engine_(make_engine(ledger, sources, destinations, std::move(config), elig, cache, tally)) {} + FlowPolicyConfig config, const Eligibility* eligibility, ShortestPathCache* cache, detail::FrozenCacheHitTally& tally) + : engine_(make_engine(ledger, sources, destinations, std::move(config), eligibility, cache, tally)) {} // The destruction law: the records stay in the ledger as orphans. -FlowPolicy::~FlowPolicy() { LedgerAccess::release(engine_->fg, engine_->owner); } +FlowPolicy::~FlowPolicy() { LedgerAccess::release(engine_->ledger, engine_->policy_id); } namespace detail { namespace { @@ -1932,7 +1965,7 @@ namespace { // The program a computing model installs for an empty roster (R22): an empty one. Pinned never // comes here: its forwarding with no head is place_pinned's. std::shared_ptr empty_roster_program(const PolicyEngine& pe) { - return empty_program(pe.graph->uid(), pe.sources, pe.destinations, controller(pe) && pe.origin == Origin::Optimized); + return empty_program(pe.graph->uid(), pe.sources, pe.destinations, uses_optimized_flow(pe) && pe.source_allocation == SourceAllocation::Optimized); } // The current state of a zero call: its records, its program and rows, every flag false; before @@ -1940,16 +1973,16 @@ std::shared_ptr empty_roster_program(const PolicyEngine // nothing, so it claims no cut. PlacementResult zero_state(const PolicyEngine& pe, const OutputOptions& outputs) { PlacementResult out; - out.remaining = 0; + out.call_undelivered = 0; const auto& ep = pe.epoch; const auto records = current_records(pe); std::vector> lost; - for (std::size_t h = 0; h < ep.head_lost.size(); ++h) { - if (!ep.head_lost[h].is_zero()) lost.emplace_back(pe.view.head(h), ep.head_lost[h]); + for (std::size_t h = 0; h < ep.source_drops_by_source.size(); ++h) { + if (!ep.source_drops_by_source[h].is_zero()) lost.emplace_back(pe.view.source(h), ep.source_drops_by_source[h]); } fill_state(pe, records, ep.requested, ep.infinite, ep.offered, out, lost); - if (controller(pe)) out.total_cost = total_cost_of(*pe.graph, records); - if (dense_global(pe) && pe.origin == Origin::Optimized && ep.prepared && ep.curve.has_value()) out.cost_distribution = *ep.curve; + if (uses_optimized_flow(pe)) out.total_cost = total_cost_of(*pe.graph, records); + if (is_unrestricted_centralized_te(pe) && pe.source_allocation == SourceAllocation::Optimized && ep.prepared && ep.marginal_cost_curve.has_value()) out.marginal_cost_curve = *ep.marginal_cost_curve; out.program = ep.program; out.by_tunnel = ep.by_tunnel; prepare_outputs(pe, outputs, records, out); @@ -1958,45 +1991,45 @@ PlacementResult zero_state(const PolicyEngine& pe, const OutputOptions& outputs) // A computing model's call when no source reaches an allowed destination (Pinned with no head // forwards through place_pinned, keeping its per-entry records): nothing is forwarded. A Lossy -// offer is lost before it enters (the demand's source loss; no source's row has it). Global's flow +// offer is lost before it enters (the demand's source loss; no source's row has it). CentralizedTE's flow // is 0 and maximal: its curve is empty and its cut is empty (no roster source, so the closure is // empty). -Staged empty_roster(const PolicyEngine& pe, const Epoch& cur, const Request& rq, const ForwardingProgram* before) { +PendingPolicyUpdate empty_roster(const PolicyEngine& pe, const PolicyEpoch& cur, const PolicyCall& rq, const ForwardingProgram* before) { const bool lossy = pe.config.admission == Admission::Lossy; - const bool optimized_global = dense_global(pe) && pe.origin == Origin::Optimized; - const auto v = rq.v; - Staged s; - s.next.cohorts.resize(cur.cohorts.size()); - s.next.requested = requested_after(cur, v); - s.next.offered = cur.offered; - if (lossy && v.has_value()) (void)s.next.offered.add(*v); // offered <= requested - s.next.prepared = true; - s.next.infinite = cur.infinite || !v.has_value(); - s.next.program = cur.program ? cur.program : empty_roster_program(pe); + const bool optimized_global = is_unrestricted_centralized_te(pe) && pe.source_allocation == SourceAllocation::Optimized; + const auto v = rq.offer; + PendingPolicyUpdate s; + s.next_epoch.record_groups.resize(cur.record_groups.size()); + s.next_epoch.requested = requested_after(cur, v); + s.next_epoch.offered = cur.offered; + if (lossy && v.has_value()) (void)s.next_epoch.offered.add(*v); // offered <= requested + s.next_epoch.prepared = true; + s.next_epoch.infinite = cur.infinite || !v.has_value(); + s.next_epoch.program = cur.program ? cur.program : empty_roster_program(pe); // The tunnel models: forward keeps the installed plan; a setup plans no head. - if (rq.op == Op::Forward) { - s.next.plan = cur.plan; - } else if (is(pe)) { - s.next.plan = std::make_shared(t1_plan(pe, *design_of(rq), nullptr)); + if (rq.operation == PolicyOperation::Forward) { + s.next_epoch.plan = cur.plan; + } else if (is(pe)) { + s.next_epoch.plan = std::make_shared(distributed_te_plan(pe, *design_of(rq), nullptr)); } else if (t2(pe)) { T2Layout none; - none.count = std::get(pe.config.routing).tunnels->up_to ? 1 : std::get(pe.config.routing).tunnels->count; - s.next.plan = std::make_shared(t2_plan(pe, design_of(rq), none, 0, 0)); + none.count = std::get(pe.config.routing).tunnel_count->up_to ? 1 : std::get(pe.config.routing).tunnel_count->per_head; + s.next_epoch.plan = std::make_shared(t2_plan(pe, design_of(rq), none, 0, 0)); } - PlacementResult& out = s.out; - out.remaining = v; + PlacementResult& out = s.result; + out.call_undelivered = v; out.delivery_delta = 0; out.termination = Termination::NoRoute; - if (lossy && v.has_value()) out.call_source_loss = *v; - set_flags(out, before, s.next.program.get(), is(pe)); - out.program = s.next.program; - if (s.next.plan) out.plan = *s.next.plan; - fill_state(pe, {}, s.next.requested, s.next.infinite, s.next.offered, out); - if (controller(pe)) out.total_cost = Counter128 {}; + if (lossy && v.has_value()) out.call_source_drops = *v; + set_flags(out, before, s.next_epoch.program.get(), is(pe)); + out.program = s.next_epoch.program; + if (s.next_epoch.plan) out.plan = *s.next_epoch.plan; + fill_state(pe, {}, s.next_epoch.requested, s.next_epoch.infinite, s.next_epoch.offered, out); + if (uses_optimized_flow(pe)) out.total_cost = Counter128 {}; if (optimized_global) { - out.cost_distribution.emplace(); + out.marginal_cost_curve.emplace(); if (rq.outputs != nullptr && rq.outputs->min_cut) out.min_cut.emplace(); - s.next.curve.emplace(); + s.next_epoch.marginal_cost_curve.emplace(); } if (kTraced && rq.trace) rq.trace->set("roster", Trace::list()); return s; @@ -2015,18 +2048,18 @@ namespace { // operation for the model (T1's and T2's place) and an installed program (forward), the offer, a // Lossy full offer's finiteness, the design demand (the model, its domain, T1's finiteness), a // finite place after +inf, the requested total's limit, the black holes' graph. -void check_call(const PolicyEngine& pe, const Request& rq) { +void check_call(const PolicyEngine& pe, const PolicyCall& rq) { const bool lossy = pe.config.admission == Admission::Lossy; - const bool t1 = is(pe); - if (rq.op == Op::Place && tunnel_model(pe)) { + const bool t1 = is(pe); + if (rq.operation == PolicyOperation::Place && tunnel_model(pe)) { invalid(std::string(model_name(pe.config.routing)) + " does not support incremental placement"); } - if (rq.op == Op::Forward) check_forward_operation(pe); - if (rq.v.has_value() && (*rq.v < 0 || *rq.v >= kDomainLimit)) { + if (rq.operation == PolicyOperation::Forward) check_forward_operation(pe); + if (rq.offer.has_value() && (*rq.offer < 0 || *rq.offer >= kDomainLimit)) { invalid("offer must be an integer in [0, 2^62) or permitted +inf"); } - // A Lossy full offer is finite; CostOnly's place(+inf) is its first-hop experiment. - if (lossy && !rq.v.has_value() && (rq.full() || is(pe))) invalid("LOSSY forwarding requires a finite offer"); + // A Lossy full offer is finite; ShortestPaths's place(+inf) is its first-hop experiment. + if (lossy && !rq.offer.has_value() && (rq.is_full_offer() || is(pe))) invalid("LOSSY forwarding requires a finite offer"); // The design demand: the tunnel models' alone, in its domain, T1's finite (absent: the offer). if (rq.design.has_value()) { if (!tunnel_model(pe)) invalid(std::string(model_name(pe.config.routing)) + " does not accept design_demand"); @@ -2034,138 +2067,138 @@ void check_call(const PolicyEngine& pe, const Request& rq) { invalid("design_demand must be an integer in [0, 2^62) or permitted +inf"); } } - if (t1 && rq.op != Op::Forward && (rq.design.has_value() ? !rq.design->has_value() : !rq.v.has_value())) { - invalid("T1 requires a finite design demand"); + if (t1 && rq.operation != PolicyOperation::Forward && (rq.design.has_value() ? !rq.design->has_value() : !rq.offer.has_value())) { + invalid("DistributedTE requires a finite design demand"); } - if (rq.op == Op::Place) { - if (pe.epoch.infinite && rq.v.has_value()) invalid("finite placement after infinite placement requires a new epoch"); + if (rq.operation == PolicyOperation::Place) { + if (pe.epoch.infinite && rq.offer.has_value()) invalid("finite placement after infinite placement requires a new epoch"); // The only check of the cumulative request: nothing changes the requested total between here // and the call's publication, so the later additions repeat this sum and cannot fail. - if (rq.v.has_value()) { + if (rq.offer.has_value()) { Counter128 probe = pe.epoch.requested; - if (!probe.add(*rq.v)) invalid("requested limit exceeded"); + if (!probe.add(*rq.offer)) invalid("requested limit exceeded"); } } - if (rq.op == Op::Forward && rq.dark != nullptr && rq.dark->graph_uid() != pe.graph->uid()) { + if (rq.operation == PolicyOperation::Forward && rq.black_holes != nullptr && rq.black_holes->graph_uid() != pe.graph->uid()) { invalid("black_holes belongs to another graph"); } } // The computation of a call: nothing published. A full-offer call works on the residual with // the policy's own load released, from a fresh epoch. -Staged compute(const PolicyEngine& pe, const Request& rq) { - Working W(pe.fg); - if (rq.full()) W.release_records(current_records(pe)); - const Epoch fresh = rq.full() ? fresh_epoch(pe, rq.op == Op::Forward) : Epoch {}; - const Epoch& cur = rq.full() ? fresh : pe.epoch; +PendingPolicyUpdate compute(const PolicyEngine& pe, const PolicyCall& rq) { + ServiceCapacityWorkspace W(pe.ledger); + if (rq.is_full_offer()) W.release_records(current_records(pe)); + const PolicyEpoch fresh = rq.is_full_offer() ? fresh_epoch(pe, rq.operation == PolicyOperation::Forward) : PolicyEpoch {}; + const PolicyEpoch& cur = rq.is_full_offer() ? fresh : pe.epoch; // The flags compare the program the policy has installed now. const ForwardingProgram* before = pe.epoch.program.get(); - Staged s; - if (pe.roster.empty() && !is(pe)) { + PendingPolicyUpdate s; + if (pe.reachable_sources.empty() && !is(pe)) { // No roster source (a computing model): nothing is computed. A Pinned policy whose heads all // fail keeps its per-entry records and forwards nothing (place_pinned). s = empty_roster(pe, cur, rq, before); - } else if (tunnel_model(pe) && rq.op == Op::Forward) { + } else if (tunnel_model(pe) && rq.operation == PolicyOperation::Forward) { s = forward_tunnels(pe, cur, W, rq, before); - } else if (is(pe)) { - s = place_t1(pe, cur, W, rq, before); + } else if (is(pe)) { + s = apply_distributed_te_call(pe, cur, W, rq, before); } else if (t2(pe)) { s = place_t2(pe, cur, W, rq, before); - } else if (rq.op == Op::Forward) { + } else if (rq.operation == PolicyOperation::Forward) { s = forward_installed(pe, W, rq); } else if (is(pe)) { s = place_pinned(pe, cur, W, rq, before); - } else if (controller(pe)) { - s = place_controller(pe, cur, W, rq, before); + } else if (uses_optimized_flow(pe)) { + s = place_optimized_flow(pe, cur, W, rq, before); } else { s = place_pooled(pe, cur, W, rq, before); } - // A full-offer call: its placed is the whole new delivery, compared with the old one. - if (rq.full()) { + // A full-offer call: its call_delivered is the whole new delivery, compared with the old one. + if (rq.is_full_offer()) { Amount old = 0; for (const FlowRecord* r : current_records(pe)) old += r->delivered; - s.out.placed = s.out.delivered; - s.out.delivery_delta = s.out.delivered - old; - if (rq.v.has_value()) s.out.remaining = *rq.v - s.out.placed; + s.result.call_delivered = s.result.delivered; + s.result.delivery_delta = s.result.delivered - old; + if (rq.offer.has_value()) s.result.call_undelivered = *rq.offer - s.result.call_delivered; } - // The first termination row (14.2): a request of 0 is COMPLETE, also for a full-offer call, which + // The first termination row: a request of 0 is COMPLETE, also for a full-offer call, which // still prepared and publishes what it computed. - if (rq.v == Amount {0}) s.out.termination = Termination::Complete; - if (rq.outputs != nullptr && any_output(*rq.outputs)) prepare_outputs(pe, *rq.outputs, draft_records(s.drafts), s.out); + if (rq.offer == Amount {0}) s.result.termination = Termination::Complete; + if (rq.outputs != nullptr && any_output(*rq.outputs)) prepare_outputs(pe, *rq.outputs, draft_records(s.drafts), s.result); return s; } // The publication: the ledger's one atomic exchange (a place commits every live record and the new // ones; a full-offer call retires the live ones and creates the new ones), then the epoch. -void publish(PolicyEngine& pe, Staged& s, bool full) { - const auto ids = full ? LedgerAccess::exchange(pe.fg, pe.owner, s.drafts) : LedgerAccess::commit(pe.fg, pe.owner, s.drafts); +void publish(PolicyEngine& pe, PendingPolicyUpdate& s, bool full) { + const auto ids = full ? LedgerAccess::exchange(pe.ledger, pe.policy_id, s.drafts) : LedgerAccess::commit(pe.ledger, pe.policy_id, s.drafts); // Committed: the epoch state follows (nothing below throws). - for (std::size_t n = 0; n < s.fresh.size(); ++n) s.next.cohorts[s.fresh[n].first][s.fresh[n].second].id = ids[n].second; - pe.epoch = std::move(s.next); + for (std::size_t n = 0; n < s.fresh.size(); ++n) s.next_epoch.record_groups[s.fresh[n].first][s.fresh[n].second].record_counter = ids[n].second; + pe.epoch = std::move(s.next_epoch); } -// `staged` (optional) runs once the call's result and trace are final and before anything is +// `before_publish` (optional) runs once the call's result and trace are final and before anything is // published (the ledger commit, the epoch state): an exception from it aborts the call with // nothing changed (the Python binding builds its result objects there). -PlacementResult run_call(PolicyEngine& pe, const Request& rq, const std::function* staged) { +PlacementResult run_call(PolicyEngine& pe, const PolicyCall& rq, const std::function* before_publish) { check_call(pe, rq); - if (rq.op == Op::Place && rq.v.has_value() && *rq.v == 0) { + if (rq.operation == PolicyOperation::Place && rq.offer.has_value() && *rq.offer == 0) { PlacementResult out = zero_state(pe, *rq.outputs); - if (staged != nullptr && *staged) (*staged)(); + if (before_publish != nullptr && *before_publish) (*before_publish)(); return out; } - Staged s = compute(pe, rq); - if (staged != nullptr && *staged) (*staged)(); - if (rq.op == Op::Evaluate) return std::move(s.out); - PlacementResult out = std::move(s.out); - publish(pe, s, rq.full()); + PendingPolicyUpdate s = compute(pe, rq); + if (before_publish != nullptr && *before_publish) (*before_publish)(); + if (rq.operation == PolicyOperation::Evaluate) return std::move(s.result); + PlacementResult out = std::move(s.result); + publish(pe, s, rq.is_full_offer()); return out; } } // namespace } // namespace detail -PlacementResult FlowPolicy::place(std::optional volume, const OutputOptions& outputs) { - return detail::run_call(*engine_, detail::Request {detail::Op::Place, volume, {}, nullptr, &outputs, nullptr}, nullptr); +PlacementResult FlowPolicy::place(std::optional offer, const OutputOptions& outputs) { + return detail::run_call(*engine_, detail::PolicyCall {detail::PolicyOperation::Place, offer, {}, nullptr, &outputs, nullptr}, nullptr); } PlacementResult FlowPolicy::evaluate(std::optional offer, const std::optional>& design_demand, const OutputOptions& outputs) const { - const detail::Request rq {detail::Op::Evaluate, offer, design_demand, nullptr, &outputs, nullptr}; + const detail::PolicyCall rq {detail::PolicyOperation::Evaluate, offer, design_demand, nullptr, &outputs, nullptr}; detail::check_call(*engine_, rq); - return std::move(detail::compute(*engine_, rq).out); + return std::move(detail::compute(*engine_, rq).result); } PlacementResult FlowPolicy::replace(std::optional offer, const std::optional>& design_demand, const OutputOptions& outputs) { - return detail::run_call(*engine_, detail::Request {detail::Op::Replace, offer, design_demand, nullptr, &outputs, nullptr}, + return detail::run_call(*engine_, detail::PolicyCall {detail::PolicyOperation::Replace, offer, design_demand, nullptr, &outputs, nullptr}, nullptr); } PlacementResult FlowPolicy::forward(std::optional offer, const Eligibility* black_holes, const OutputOptions& outputs) { - return detail::run_call(*engine_, detail::Request {detail::Op::Forward, offer, {}, black_holes, &outputs, nullptr}, + return detail::run_call(*engine_, detail::PolicyCall {detail::PolicyOperation::Forward, offer, {}, black_holes, &outputs, nullptr}, nullptr); } #if NETGRAPH_CORE_PRIVATE_HOOKS -PlacementResult detail::place_traced(FlowPolicy& policy, std::optional volume, const OutputOptions& outputs, - Trace& trace, const std::function* staged) { +PlacementResult detail::place_traced(FlowPolicy& policy, std::optional offer, const OutputOptions& outputs, + Trace& trace, const std::function* before_publish) { trace = Trace::map(); - return run_call(PolicyAccess::engine(policy), Request {Op::Place, volume, {}, nullptr, &outputs, &trace}, staged); + return run_call(PolicyAccess::engine(policy), PolicyCall {PolicyOperation::Place, offer, {}, nullptr, &outputs, &trace}, before_publish); } #endif void FlowPolicy::remove() { auto& pe = *engine_; - (void)LedgerAccess::detach(pe.fg, pe.owner); + (void)LedgerAccess::detach(pe.ledger, pe.policy_id); // A new epoch (nothing below throws): the same number of cohorts, every one empty. - for (auto& c : pe.epoch.cohorts) c.clear(); + for (auto& c : pe.epoch.record_groups) c.clear(); pe.epoch.program.reset(); pe.epoch.plan.reset(); pe.epoch.support.clear(); - pe.epoch.curve.reset(); - pe.epoch.head_lost.clear(); + pe.epoch.marginal_cost_curve.reset(); + pe.epoch.source_drops_by_source.clear(); pe.epoch.by_tunnel.clear(); pe.epoch.requested = Counter128 {}; pe.epoch.offered = Counter128 {}; @@ -2173,11 +2206,11 @@ void FlowPolicy::remove() { pe.epoch.prepared = false; } -Amount FlowPolicy::placed_demand() const { +Amount FlowPolicy::delivered() const { const auto& pe = *engine_; Amount total = 0; - for (const auto& c : pe.epoch.cohorts) { - for (const auto& s : c) total += LedgerAccess::live(pe.fg, s.id).delivered; + for (const auto& c : pe.epoch.record_groups) { + for (const auto& s : c) total += LedgerAccess::live(pe.ledger, s.record_counter).delivered; } return total; } @@ -2185,22 +2218,22 @@ Amount FlowPolicy::placed_demand() const { std::vector FlowPolicy::records() const { const auto& pe = *engine_; std::vector ids; - for (const auto& c : pe.epoch.cohorts) { - for (const auto& s : c) ids.push_back(s.id); + for (const auto& c : pe.epoch.record_groups) { + for (const auto& s : c) ids.push_back(s.record_counter); } std::sort(ids.begin(), ids.end()); std::vector out; out.reserve(ids.size()); - for (std::int64_t id : ids) out.push_back(LedgerAccess::live(pe.fg, id)); + for (std::int64_t id : ids) out.push_back(LedgerAccess::live(pe.ledger, id)); return out; } FlowRecord FlowPolicy::record(const FlowId& flow_id) const { const auto& pe = *engine_; - const FlowLedger& fg = pe.fg; + const FlowLedger& fg = pe.ledger; // The ledger's checks first (another ledger, a retired or unknown id), then the owner. FlowRecord rec = fg.record(flow_id); - if (rec.owner != pe.owner) { + if (rec.policy_id != pe.policy_id) { throw std::invalid_argument("FlowId (" + std::to_string(flow_id.first) + ", " + std::to_string(flow_id.second) + ") is not a record of this policy"); } diff --git a/src/forwarding.cpp b/src/forwarding.cpp index 0920b86..87ae44f 100644 --- a/src/forwarding.cpp +++ b/src/forwarding.cpp @@ -9,7 +9,7 @@ split route's member), and per split route its routers. Each occurrence belongs to one source and one entry, so the loss rule at a link is two levels of highest averages. - The evaluation (A+, 9.2): the no-drop loads U0 first; serial normalization marks the second link + The evaluation (A+): the no-drop loads U0 first; serial normalization marks the second link of every transparent pair (equal free capacity, every occurrence of the first continuing on the second and every occurrence of the second coming from the first, with nothing injected, absorbed, merged or split between them) as a pass-through; every other link with U0 > V is a barrier. The @@ -18,7 +18,7 @@ previous one). Tarjan's algorithm groups them into strongly connected components (SCCs), which run in dependency order, the smallest key first among the ready ones ((0, smallest barrier EdgeId) for a group with a barrier, else (1, its first event)). A cyclic group of b barriers is - iterated from zero carried (9.4): one round replays the group's private forwarding from the + iterated from zero carried: one round replays the group's private forwarding from the previous carried state x, then computes every new carry with the loss rule into a separate state; equal states solve it, a state equal to the one two rounds before raises the period-two error, and 64 b rounds without either raise the round-limit error. Once every group is solved, a call that @@ -39,7 +39,7 @@ #include #include "netgraph/core/detail/int128.hpp" -#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/detail/route_builders.hpp" namespace netgraph::core::detail { @@ -59,17 +59,17 @@ bool has_black_holes(const Eligibility* dark) noexcept { return dark != nullptr // The roster slots that reach an allowed destination over their basis under the mask: one // reverse search from the allowed destinations over every allowed edge (topology), or per slot a // forward search over its own allowed basis edges. -std::vector replay_roster(const Graph& g, const ProgramData& p, const std::vector& edge_ok, - const std::vector& node_ok, +std::vector replay_roster(const Graph& graph, const ProgramData& p, const std::vector& edge_allowed, + const std::vector& node_allowed, const std::vector& is_dst) { - const std::size_t k = p.roster.size(); + const std::size_t k = p.reachable_sources.size(); std::vector keep(k, 0); - const auto edge_src = g.edge_src(); - const auto edge_dst = g.edge_dst(); - if (p.topology) { - const auto in_row = g.in_row_offsets(); - const auto in_adj = g.in_adj_edge_index(); - std::vector seen(static_cast(g.num_nodes()), 0); + const auto edge_sources = graph.edge_sources(); + const auto edge_destinations = graph.edge_destinations(); + if (p.uses_topology_basis) { + const auto in_row = graph.incoming_offsets(); + const auto in_adj = graph.incoming_edges(); + std::vector seen(static_cast(graph.num_nodes()), 0); std::vector stack; for (std::size_t v = 0; v < is_dst.size(); ++v) { if (is_dst[v] != 0) { @@ -82,8 +82,8 @@ std::vector replay_roster(const Graph& g, const ProgramData& p, co stack.pop_back(); for (auto i = in_row[v]; i < in_row[v + 1]; ++i) { const auto e = static_cast(in_adj[static_cast(i)]); - if (edge_ok[e] == 0) continue; - const auto u = static_cast(edge_src[e]); + if (edge_allowed[e] == 0) continue; + const auto u = static_cast(edge_sources[e]); // A path stops at the first destination: a destination is not passed through. if (seen[u] != 0 || is_dst[u] != 0) continue; seen[u] = 1; @@ -91,19 +91,19 @@ std::vector replay_roster(const Graph& g, const ProgramData& p, co } } for (std::size_t s = 0; s < k; ++s) { - const auto h = static_cast(p.roster[s]); - keep[s] = node_ok[h] != 0 && seen[h] != 0 ? 1 : 0; + const auto h = static_cast(p.reachable_sources[s]); + keep[s] = node_allowed[h] != 0 && seen[h] != 0 ? 1 : 0; } return keep; } - std::vector seen(static_cast(g.num_nodes()), 0); + std::vector seen(static_cast(graph.num_nodes()), 0); std::vector touched; std::vector stack; std::vector, bool>> parts; - const auto row = g.row_offsets(); + const auto row = graph.outgoing_offsets(); for (std::size_t s = 0; s < k; ++s) { - const NodeId h = p.roster[s]; - if (node_ok[static_cast(h)] == 0) continue; + const NodeId h = p.reachable_sources[s]; + if (node_allowed[static_cast(h)] == 0) continue; parts.clear(); p.basis_parts(s, parts); // A forward search over the slot's allowed basis edges (an ascending part's edges of one tail @@ -114,8 +114,8 @@ std::vector replay_roster(const Graph& g, const ProgramData& p, co bool reached = false; auto visit = [&](EdgeId x) { const auto e = static_cast(x); - if (edge_ok[e] == 0) return; - const auto v = static_cast(edge_dst[e]); + if (edge_allowed[e] == 0) return; + const auto v = static_cast(edge_destinations[e]); if (is_dst[v] != 0) { reached = true; return; @@ -146,39 +146,39 @@ std::vector replay_roster(const Graph& g, const ProgramData& p, co return keep; } -// An edge set under the mask, pruned to the walks from `src` to the allowed destinations, as a -// record bundle with its cost (an empty DAG and kUnreachable when nothing remains). -std::pair, Cost> masked_route(const Graph& g, std::span edges, NodeId src, - std::span dests, const Eligibility* elig) { - const PredDAG dag = PredDAGBuilder::of_edges(g, edges); - auto kept = prune(g, dag, src, dests, elig); - if (kept.empty()) return {std::make_shared(PredDAGBuilder::empty(g)), kUnreachable}; - auto out = std::make_shared(PredDAGBuilder::of_edges(g, kept)); - return {out, route_cost(g, *out, src, dests)}; +// An edge set under the mask, pruned to the walks from `source` to the allowed destinations, as a +// record route with its cost (an empty DAG and kUnreachable when nothing remains). +std::pair, Cost> masked_route(const Graph& graph, std::span edges, NodeId source, + std::span destinations, const Eligibility* eligibility) { + const PredecessorDAG dag = PredecessorDAGBuilder::of_edges(graph, edges); + auto kept = prune(graph, dag, source, destinations, eligibility); + if (kept.empty()) return {std::make_shared(PredecessorDAGBuilder::empty(graph)), kUnreachable}; + auto out = std::make_shared(PredecessorDAGBuilder::of_edges(graph, kept)); + return {out, min_route_cost(graph, *out, source, destinations)}; } void finish_view(ForwardingView& v) { const ProgramData& p = *v.data; // The surviving entries per view head, ascending index. - v.head_begin_.assign(v.slots_.size() + 1, 0); - v.head_entries_.clear(); - for (std::size_t h = 0; h < v.slots_.size(); ++h) { - for (std::int32_t e : p.entries_of(static_cast(v.slots_[h]))) { - if (v.status_[static_cast(e)] != TunnelStatus::Failed) v.head_entries_.push_back(e); + v.source_entry_offsets_.assign(v.source_indices_.size() + 1, 0); + v.source_entry_positions_.clear(); + for (std::size_t h = 0; h < v.source_indices_.size(); ++h) { + for (std::int32_t e : p.entries_for_source(static_cast(v.source_indices_[h]))) { + if (v.status_[static_cast(e)] != TunnelStatus::Failed) v.source_entry_positions_.push_back(e); } - v.head_begin_[h + 1] = static_cast(v.head_entries_.size()); + v.source_entry_offsets_[h + 1] = static_cast(v.source_entry_positions_.size()); } // Black holes: the black-holed heads, and every up tunnel whose path reaches one. - v.dark_head_.clear(); - if (v.dark != nullptr) { - v.dark_head_.assign(v.slots_.size(), 0); - for (std::size_t h = 0; h < v.slots_.size(); ++h) v.dark_head_[h] = v.dark->node_ok(v.head(h)) ? 0 : 1; + v.blackholed_sources_.clear(); + if (v.black_holes != nullptr) { + v.blackholed_sources_.assign(v.source_indices_.size(), 0); + for (std::size_t h = 0; h < v.source_indices_.size(); ++h) v.blackholed_sources_[h] = v.black_holes->allows_node(v.source(h)) ? 0 : 1; for (std::size_t t = 0; t < p.tunnels.size(); ++t) { - const auto e = static_cast(p.tunnel_entry[t]); + const auto e = static_cast(p.tunnel_entry_positions[t]); if (v.status_[e] != TunnelStatus::Up) continue; // An edge is black-holed when the Eligibility disallows it (itself or an endpoint). for (EdgeId x : path_of(p.tunnels[t])) { - if (!v.dark->edge_ok(x)) { + if (!v.black_holes->allows_edge(x)) { v.status_[e] = TunnelStatus::Blackholed; break; } @@ -193,66 +193,66 @@ void materialize(ForwardingView& v) { if (!v.borrowed) return; const ProgramData& p = *v.data; const std::size_t n = p.entries.size(); - v.slots_.resize(p.roster.size()); - for (std::size_t s = 0; s < p.roster.size(); ++s) v.slots_[s] = static_cast(s); - v.weights_ = p.head_weight; + v.source_indices_.resize(p.reachable_sources.size()); + for (std::size_t s = 0; s < p.reachable_sources.size(); ++s) v.source_indices_[s] = static_cast(s); + v.source_weights_ = p.source_weight_values; v.status_.resize(n); - v.bundles_.resize(n); - v.costs_.resize(n); - v.root_of_.resize(n); + v.routes_.resize(n); + v.min_route_costs_.resize(n); + v.context_source_indices_.resize(n); for (std::size_t e = 0; e < n; ++e) { v.status_[e] = v.status(e); - v.bundles_[e] = p.entries[e].bundle; - v.costs_[e] = p.entries[e].cost; - v.root_of_[e] = v.root_of(e); + v.routes_[e] = p.entries[e].route; + v.min_route_costs_[e] = p.entries[e].min_route_cost; + v.context_source_indices_[e] = v.context_source_index(e); } - v.plans_.clear(); - for (const auto& c : p.contexts) v.plans_.push_back(c.plan); + v.prepared_routes_.clear(); + for (const auto& c : p.split_contexts) v.prepared_routes_.push_back(c.prepared_route); v.borrowed = false; } } // namespace -ForwardingView make_view(const Graph& g, std::shared_ptr program, const Eligibility* mask, - std::span dests, const Eligibility* dark, bool records) { +ForwardingView make_forwarding_view(const Graph& graph, std::shared_ptr program, const Eligibility* mask, + std::span destinations, const Eligibility* dark, bool records) { ForwardingView v; v.data = &ProgramAccess::data(*program); v.program = std::move(program); - v.dark = has_black_holes(dark) ? dark : nullptr; + v.black_holes = has_black_holes(dark) ? dark : nullptr; const ProgramData& p = *v.data; const std::size_t n = p.entries.size(); - v.pooled = p.pooled; + v.pooled = p.pools_source_inflows; if (mask == nullptr || mask->uid() == 0) { // The program's own state: its roster, its routes and plans, borrowed from the program (a - // tunnel's record bundle is made here; black holes change the statuses). + // tunnel's record route is made here; black holes change the statuses). v.borrowed = true; - if (v.dark == nullptr && !(records && !p.tunnels.empty())) return v; + if (v.black_holes == nullptr && !(records && !p.tunnels.empty())) return v; materialize(v); for (std::size_t e = 0; records && e < n; ++e) { - if (p.entries[e].tunnel < 0) continue; - const auto path = path_of(p.tunnels[static_cast(p.entries[e].tunnel)]); - v.bundles_[e] = std::make_shared(path.empty() ? PredDAGBuilder::empty(g) : PredDAGBuilder::of_edges(g, path)); + if (p.entries[e].tunnel_position < 0) continue; + const auto path = path_of(p.tunnels[static_cast(p.entries[e].tunnel_position)]); + v.routes_[e] = std::make_shared(path.empty() ? PredecessorDAGBuilder::empty(graph) : PredecessorDAGBuilder::of_edges(graph, path)); } finish_view(v); return v; } v.status_.assign(n, TunnelStatus::Up); - v.bundles_.resize(n); - v.costs_.assign(n, kUnreachable); - v.root_of_.assign(n, -1); - // The replay (8.4): the mask and the program's own exclusions together. - const auto num_nodes = static_cast(g.num_nodes()); - const auto num_edges = static_cast(g.num_edges()); - std::vector node_ok(num_nodes, 0); - std::vector edge_ok(num_edges, 0); - for (std::size_t x = 0; x < num_nodes; ++x) node_ok[x] = mask->node_ok(static_cast(x)) ? 1 : 0; - for (NodeId x : p.excluded_nodes) node_ok[static_cast(x)] = 0; - for (std::size_t e = 0; e < num_edges; ++e) edge_ok[e] = mask->edge_ok(static_cast(e)) ? 1 : 0; - for (EdgeId e : p.excluded_edges) edge_ok[static_cast(e)] = 0; + v.routes_.resize(n); + v.min_route_costs_.assign(n, kUnreachable); + v.context_source_indices_.assign(n, -1); + // The replay: the mask and the program's own exclusions together. + const auto num_nodes = static_cast(graph.num_nodes()); + const auto num_edges = static_cast(graph.num_edges()); + std::vector node_allowed(num_nodes, 0); + std::vector edge_allowed(num_edges, 0); + for (std::size_t x = 0; x < num_nodes; ++x) node_allowed[x] = mask->allows_node(static_cast(x)) ? 1 : 0; + for (NodeId x : p.excluded_nodes) node_allowed[static_cast(x)] = 0; + for (std::size_t e = 0; e < num_edges; ++e) edge_allowed[e] = mask->allows_edge(static_cast(e)) ? 1 : 0; + for (EdgeId e : p.excluded_edges) edge_allowed[static_cast(e)] = 0; std::vector live_dests; std::vector is_dst(num_nodes, 0); - for (NodeId d : dests) { - if (node_ok[static_cast(d)] == 0) continue; + for (NodeId d : destinations) { + if (node_allowed[static_cast(d)] == 0) continue; live_dests.push_back(d); is_dst[static_cast(d)] = 1; } @@ -260,65 +260,65 @@ ForwardingView make_view(const Graph& g, std::shared_ptr both; const Eligibility* replay = mask; if (!p.excluded_nodes.empty() || !p.excluded_edges.empty()) { - both = Eligibility::intersect(*mask, g.eligibility(p.excluded_nodes, p.excluded_edges)); + both = Eligibility::intersect(*mask, graph.eligibility(p.excluded_nodes, p.excluded_edges)); replay = &*both; } - const auto keep = replay_roster(g, p, edge_ok, node_ok, is_dst); - for (std::size_t s = 0; s < p.roster.size(); ++s) { + const auto keep = replay_roster(graph, p, edge_allowed, node_allowed, is_dst); + for (std::size_t s = 0; s < p.reachable_sources.size(); ++s) { if (keep[s] == 0) continue; - v.slots_.push_back(static_cast(s)); - if (!p.head_weight.empty()) v.weights_.push_back(p.head_weight[s]); + v.source_indices_.push_back(static_cast(s)); + if (!p.source_weight_values.empty()) v.source_weights_.push_back(p.source_weight_values[s]); } - std::vector view_head(p.roster.size(), -1); - for (std::size_t h = 0; h < v.slots_.size(); ++h) view_head[static_cast(v.slots_[h])] = static_cast(h); + std::vector view_head(p.reachable_sources.size(), -1); + for (std::size_t h = 0; h < v.source_indices_.size(); ++h) view_head[static_cast(v.source_indices_[h])] = static_cast(h); // Entries: a tunnel fails when it touches an excluded node or edge (an edge is excluded with its // endpoints); a split route keeps its allowed edges on the walks from its head to an allowed // destination and fails when none remains. Every entry of a head outside the replay roster fails. // A tunnel that setup left down stays down with its status (replay never brings one up). for (std::size_t e = 0; e < n; ++e) { const auto& entry = p.entries[e]; - bool failed = view_head[static_cast(entry.slot)] < 0; - if (entry.tunnel >= 0) { - const auto& t = p.tunnels[static_cast(entry.tunnel)]; + bool failed = view_head[static_cast(entry.roster_index)] < 0; + if (entry.tunnel_position >= 0) { + const auto& t = p.tunnels[static_cast(entry.tunnel_position)]; if (t.status != TunnelStatus::Up) { v.status_[e] = t.status; - if (records) v.bundles_[e] = std::make_shared(PredDAGBuilder::empty(g)); + if (records) v.routes_[e] = std::make_shared(PredecessorDAGBuilder::empty(graph)); continue; } - for (EdgeId x : path_of(t)) failed = failed || edge_ok[static_cast(x)] == 0; + for (EdgeId x : path_of(t)) failed = failed || edge_allowed[static_cast(x)] == 0; if (!failed) { - if (records) v.bundles_[e] = std::make_shared(PredDAGBuilder::of_edges(g, path_of(t))); - v.costs_[e] = entry.cost; + if (records) v.routes_[e] = std::make_shared(PredecessorDAGBuilder::of_edges(graph, path_of(t))); + v.min_route_costs_[e] = entry.min_route_cost; } } else if (!failed) { - // A split route's route: its bundle (its edges before weight pruning). - const auto edges = PredDAGBuilder::ascending(*entry.bundle); - auto [bundle, cost] = masked_route(g, edges, entry.head, live_dests, replay); + // A split route's route under the mask (its edges before weight pruning). + const auto edges = PredecessorDAGBuilder::ascending(*entry.route); + auto [route, cost] = masked_route(graph, edges, entry.head, live_dests, replay); failed = cost == kUnreachable; - v.bundles_[e] = std::move(bundle); - v.costs_[e] = cost; + v.routes_[e] = std::move(route); + v.min_route_costs_[e] = cost; } if (failed) { v.status_[e] = TunnelStatus::Failed; - v.bundles_[e] = records ? std::make_shared(PredDAGBuilder::empty(g)) : nullptr; - v.costs_[e] = kUnreachable; + v.routes_[e] = records ? std::make_shared(PredecessorDAGBuilder::empty(graph)) : nullptr; + v.min_route_costs_[e] = kUnreachable; } } // The split contexts restricted to the mask, rooted at their surviving entries' heads. - v.plans_.reserve(p.contexts.size()); + v.prepared_routes_.reserve(p.split_contexts.size()); std::vector roots; std::vector entries; - for (const auto& c : p.contexts) { + for (const auto& c : p.split_contexts) { roots.clear(); entries.clear(); - for (std::size_t r = 0; r < c.root_entry.size(); ++r) { - const auto e = static_cast(c.root_entry[r]); + for (std::size_t r = 0; r < c.source_entry_positions.size(); ++r) { + const auto e = static_cast(c.source_entry_positions[r]); if (v.status_[e] == TunnelStatus::Failed) continue; - roots.push_back(c.plan->roots[r]); - entries.push_back(c.root_entry[r]); + roots.push_back(c.prepared_route->sources[r]); + entries.push_back(c.source_entry_positions[r]); } - v.plans_.push_back(std::make_shared(restrict_plan(g, *c.plan, roots, live_dests, replay))); - for (std::size_t r = 0; r < entries.size(); ++r) v.root_of_[static_cast(entries[r])] = static_cast(r); + v.prepared_routes_.push_back(std::make_shared(restrict_prepared_route(graph, *c.prepared_route, roots, live_dests, replay))); + for (std::size_t r = 0; r < entries.size(); ++r) v.context_source_indices_[static_cast(entries[r])] = static_cast(r); } finish_view(v); return v; @@ -326,12 +326,12 @@ ForwardingView make_view(const Graph& g, std::shared_ptrtunnels.size(); ++t) { - const auto e = static_cast(v.data->tunnel_entry[t]); + const auto e = static_cast(v.data->tunnel_entry_positions[t]); if (v.status_[e] == TunnelStatus::Blackholed) v.status_[e] = TunnelStatus::Up; } finish_view(v); @@ -350,21 +350,21 @@ std::uint64_t mod_u128(const Counter128& x, std::uint64_t d) noexcept { } // namespace -void head_shares(const ForwardingView& view, Amount x, std::span out) { +void source_shares(const ForwardingView& view, Amount x, std::span out) { std::fill(out.begin(), out.end(), 0); if (out.empty()) return; - if (view.weights().empty()) { + if (view.source_weights().empty()) { (void)round_robin(x, out); } else { - highest_averages(x, view.weights(), out); + highest_averages(x, view.source_weights(), out); } } -void head_increments(const ForwardingView& view, const Counter128& X, Amount v, std::span out) { +void source_offer_increments(const ForwardingView& view, const Counter128& X, Amount v, std::span out) { const std::size_t k = out.size(); std::fill(out.begin(), out.end(), 0); if (k == 0) return; - const auto weights = view.weights(); + const auto weights = view.source_weights(); if (weights.empty()) { // RR(X + v) - RR(X) depends only on r = X mod k: floor((r + v) / k) + [i < (r + v) mod k] - [i < r]. const auto kk = static_cast(k); @@ -396,20 +396,20 @@ namespace { // Each head's share over its surviving entries (highest averages by weight) into `share` (per // program entry); what a head cannot place (black-holed, no surviving entry of positive weight) -// goes to `head_lost`. +// goes to `source_drops_by_source`. void entry_shares(const ForwardingView& view, std::span heads, std::vector& share, - std::vector& head_lost, std::vector& w, std::vector& part) { + std::vector& source_drops_by_source, std::vector& w, std::vector& part) { const ProgramData& p = *view.data; share.assign(p.entries.size(), 0); - head_lost.assign(heads.size(), 0); + source_drops_by_source.assign(heads.size(), 0); for (std::size_t h = 0; h < heads.size(); ++h) { const Amount x = heads[h]; if (x == 0) continue; - if (view.dark_head(h)) { - head_lost[h] = x; + if (view.is_blackholed_source(h)) { + source_drops_by_source[h] = x; continue; } - const auto entries = view.head_entries(h); + const auto entries = view.entries_for_source(h); w.resize(entries.size()); bool positive = false; // a weight sum may exceed 2^63: only whether one weight is positive for (std::size_t i = 0; i < entries.size(); ++i) { @@ -417,7 +417,7 @@ void entry_shares(const ForwardingView& view, std::span heads, std positive = positive || w[i] > 0; } if (!positive) { - head_lost[h] = x; + source_drops_by_source[h] = x; continue; } part.resize(entries.size()); @@ -445,87 +445,87 @@ void sort_pairs(std::vector>& v) { ProgramFlow empty_flow(const ForwardingView& view, bool lossy) { ProgramFlow out; out.entries.resize(view.data->entries.size()); - out.head_offered.assign(view.num_heads(), 0); - if (lossy) out.head_lost.assign(view.num_heads(), 0); + out.offered_by_source.assign(view.num_sources(), 0); + if (lossy) out.source_drops_by_source.assign(view.num_sources(), 0); return out; } // ================================================================ the pooled form // The free capacity of the pooled plan's members with the black holes at 0. -void pooled_view(const KernelPlan& plan, const ForwardingView& view, const FreeFn& free, std::vector& out) { - out.resize(plan.members.size()); - free(plan.members, out); - if (view.dark == nullptr) return; - for (std::size_t m = 0; m < plan.members.size(); ++m) { - if (!view.dark->edge_ok(plan.members[m])) out[m] = 0; +void pooled_view(const PreparedRoute& plan, const ForwardingView& view, const AvailableCapacityFn& free, std::vector& out) { + out.resize(plan.forwarding_edges.size()); + free(plan.forwarding_edges, out); + if (view.black_holes == nullptr) return; + for (std::size_t m = 0; m < plan.forwarding_edges.size(); ++m) { + if (!view.black_holes->allows_edge(plan.forwarding_edges[m])) out[m] = 0; } } -// The pooled form's per-root amounts as entry flows (root r carries entry root_entry). -void pooled_entries(const ForwardingView& view, const KernelPlan& plan, const Attribution* attr, +// The pooled form's per-root amounts as entry flows (root r carries entry source_entry_positions[r]). +void pooled_entries(const ForwardingView& view, const PreparedRoute& plan, const Attribution* attr, std::span alloc, std::span drops, ProgramFlow& out) { const ProgramData& p = *view.data; - for (std::size_t h = 0; h < view.num_heads(); ++h) { - const auto e = static_cast(view.head_entries(h).front()); + for (std::size_t h = 0; h < view.num_sources(); ++h) { + const auto e = static_cast(view.entries_for_source(h).front()); auto& f = out.entries[e]; (void)p; if (attr == nullptr) { // One root holds the whole forwarding (the attribution's degenerate form). - f.carried = positive_pairs(plan.members, alloc); - if (!drops.empty()) f.dropped = positive_pairs(plan.members, drops); + f.edge_flows = positive_pairs(plan.forwarding_edges, alloc); + if (!drops.empty()) f.edge_drops = positive_pairs(plan.forwarding_edges, drops); continue; } for (const auto& x : attr->entries[h]) { - const EdgeId edge = plan.members[static_cast(x.member)]; - if (x.carried != 0) f.carried.emplace_back(edge, x.carried); - if (x.dropped != 0) f.dropped.emplace_back(edge, x.dropped); + const EdgeId edge = plan.forwarding_edges[static_cast(x.edge_position)]; + if (x.carried != 0) f.edge_flows.emplace_back(edge, x.carried); + if (x.drops != 0) f.edge_drops.emplace_back(edge, x.drops); } } } // The first black-holed head's index (the equal injection gives head i a unit from total i + 1), // or the number of heads. -Amount first_dark(const ForwardingView& view) { - for (std::size_t h = 0; h < view.num_heads(); ++h) { - if (view.dark_head(h)) return static_cast(h); +Amount black_hole_offer_cap(const ForwardingView& view) { + for (std::size_t h = 0; h < view.num_sources(); ++h) { + if (view.is_blackholed_source(h)) return static_cast(h); } return std::numeric_limits::max(); } -ProgramFlow pooled_lossless(const Graph& g, const ForwardingView& view, const FreeFn& free, Amount lo, +ProgramFlow pooled_lossless(const Graph& graph, const ForwardingView& view, const AvailableCapacityFn& free, Amount lo, std::optional hi) { - const KernelPlan& plan = *view.plan(0); + const PreparedRoute& plan = *view.prepared_route(0); ProgramFlow out = empty_flow(view, false); - const std::size_t k = view.num_heads(); + const std::size_t k = view.num_sources(); // A black-holed head may receive nothing: the total stays at most its index. - const Amount cap = std::min(hi.value_or(std::numeric_limits::max()), first_dark(view)); + const Amount cap = std::min(hi.value_or(std::numeric_limits::max()), black_hole_offer_cap(view)); std::vector V; pooled_view(plan, view, free, V); - std::vector own(plan.members.size(), 0); + std::vector own(plan.forwarding_edges.size(), 0); if (lo != 0 && !allocate(plan, lo, own)) throw std::logic_error("forwarding: the admitted total does not fit"); Amount total = lo; - if (cap > lo && !plan.members.empty()) { + if (cap > lo && !plan.forwarding_edges.empty()) { const std::optional request = cap == std::numeric_limits::max() ? std::nullopt : std::optional(cap - lo); - auto step = lossless_step(g, plan, lo, V, own, request); - total = step.total; - own = std::move(step.alloc); + auto step = lossless_step(graph, plan, lo, V, own, request); + total = step.admitted; + own = std::move(step.edge_flows); } - out.total = total; - head_shares(view, total, out.head_offered); + out.admitted = total; + source_shares(view, total, out.offered_by_source); out.offered = total; out.delivered = total; for (std::size_t h = 0; h < k; ++h) { - const auto e = static_cast(view.head_entries(h).front()); - out.entries[e].assigned = out.head_offered[h]; - out.entries[e].delivered = out.head_offered[h]; + const auto e = static_cast(view.entries_for_source(h).front()); + out.entries[e].assigned = out.offered_by_source[h]; + out.entries[e].delivered = out.offered_by_source[h]; } if (k > 1 && total > 0) { // Several roots: forward the total again to attribute it. Attribution attr; - const auto fw = forward(plan, Injection {out.head_offered, false}, {}, &attr); - if (fw.carried != own) throw std::logic_error("forwarding: the attributed loads differ from the admitted ones"); + const auto fw = forward(plan, Injection {out.offered_by_source, false}, {}, &attr); + if (fw.edge_flows != own) throw std::logic_error("forwarding: the attributed loads differ from the admitted ones"); pooled_entries(view, plan, &attr, {}, {}, out); } else if (k == 1) { pooled_entries(view, plan, nullptr, own, {}, out); @@ -533,41 +533,41 @@ ProgramFlow pooled_lossless(const Graph& g, const ForwardingView& view, const Fr return out; } -ProgramFlow pooled_lossy(const ForwardingView& view, const FreeFn& free, std::span injections) { - const KernelPlan& plan = *view.plan(0); +ProgramFlow pooled_lossy(const ForwardingView& view, const AvailableCapacityFn& free, std::span injections) { + const PreparedRoute& plan = *view.prepared_route(0); ProgramFlow out = empty_flow(view, true); - const std::size_t k = view.num_heads(); + const std::size_t k = view.num_sources(); std::vector inject(injections.begin(), injections.end()); for (std::size_t h = 0; h < k; ++h) { - out.head_offered[h] = injections[h]; + out.offered_by_source[h] = injections[h]; out.offered += injections[h]; - if (view.dark_head(h)) { + if (view.is_blackholed_source(h)) { // A black-holed head loses its own share at the source. - out.head_lost[h] = injections[h]; - out.source_loss += injections[h]; + out.source_drops_by_source[h] = injections[h]; + out.source_drops += injections[h]; inject[h] = 0; } } - out.total = out.offered; + out.admitted = out.offered; std::vector V; pooled_view(plan, view, free, V); Attribution attr; const auto fw = forward(plan, Injection {inject, false}, V, k > 1 ? &attr : nullptr); - out.source_loss += fw.source_loss; + out.source_drops += fw.source_drops; out.delivered = fw.delivered; for (std::size_t h = 0; h < k; ++h) { - const auto e = static_cast(view.head_entries(h).front()); + const auto e = static_cast(view.entries_for_source(h).front()); auto& f = out.entries[e]; f.assigned = inject[h]; if (k > 1) { f.delivered = attr.delivered[h]; - f.lost = attr.source_loss[h]; + f.source_drops = attr.source_drops_by_source[h]; } else { f.delivered = fw.delivered; - f.lost = fw.source_loss; + f.source_drops = fw.source_drops; } } - pooled_entries(view, plan, k > 1 ? &attr : nullptr, fw.carried, fw.drops, out); + pooled_entries(view, plan, k > 1 ? &attr : nullptr, fw.edge_flows, fw.edge_drops, out); return out; } @@ -575,143 +575,143 @@ ProgramFlow pooled_lossy(const ForwardingView& view, const FreeFn& free, std::sp // The live entries of one call (surviving, positive weight, a usable route) and the union of their // links. A tunnel's occurrences are its hops in path order, a split route's its plan's members. -struct Net { +struct ForwardingNetwork { struct Item { - std::int32_t entry {0}; - std::int32_t head {0}; // view head - std::int32_t tunnel {-1}; - const KernelPlan* plan {nullptr}; - std::int32_t root_pos {-1}; - std::int32_t occ0 {0}; // its first occurrence - std::int32_t nocc {0}; - std::int32_t pos0 {0}; // its first router (split routes: one per plan position) + std::int32_t entry_position {0}; + std::int32_t source_index {0}; // view head + std::int32_t tunnel_position {-1}; + const PreparedRoute* prepared_route {nullptr}; + std::int32_t source_position {-1}; + std::int32_t first_occurrence {0}; // its first occurrence + std::int32_t num_occurrences {0}; + std::int32_t first_router_position {0}; // its first router (split routes: one per plan position) }; - std::vector items; - std::vector item_of; // per program entry: its item, or -1 (or -2: a routeless entry) - std::vector links; // ascending - std::vector V; // per link - std::vector occ_link; // per occurrence - std::vector occ_item; - std::vector occ_pos; // tunnel: hop; split route: member - std::vector link_begin; // per link + 1 into by_link - std::vector by_link; // occurrences, by (head NodeId, entry index) - std::int32_t num_pos {0}; - std::vector pos_item; // per router position: its item - std::vector in_member; // per router position: its one in-member, -1 none, -2 several + std::vector entry_occurrences; + std::vector entry_occurrence_positions; // per program entry: its item, or -1 (or -2: a routeless entry) + std::vector edges; // ascending + std::vector available_capacity; // per link + std::vector occurrence_edge_positions; // per occurrence + std::vector occurrence_entry_positions; + std::vector occurrence_route_positions; // tunnel: hop; split route: member + std::vector edge_occurrence_offsets; // per link + 1 into occurrences_by_edge + std::vector occurrences_by_edge; // occurrences, by (head NodeId, entry index) + std::int32_t num_router_positions {0}; + std::vector router_entry_positions; // per router position: its item + std::vector incoming_edge_positions; // per router position: its one in-member, -1 none, -2 several }; -std::int32_t link_index(const Net& net, EdgeId e) { - return static_cast(std::lower_bound(net.links.begin(), net.links.end(), e) - net.links.begin()); +std::int32_t edge_position(const ForwardingNetwork& net, EdgeId e) { + return static_cast(std::lower_bound(net.edges.begin(), net.edges.end(), e) - net.edges.begin()); } -Net build_net(const ForwardingView& view, const FreeFn& free) { +ForwardingNetwork build_forwarding_network(const ForwardingView& view, const AvailableCapacityFn& free) { const ProgramData& p = *view.data; - Net net; - net.item_of.assign(p.entries.size(), -1); - for (std::size_t h = 0; h < view.num_heads(); ++h) { - for (const std::int32_t ei : view.head_entries(h)) { + ForwardingNetwork net; + net.entry_occurrence_positions.assign(p.entries.size(), -1); + for (std::size_t h = 0; h < view.num_sources(); ++h) { + for (const std::int32_t ei : view.entries_for_source(h)) { const auto e = static_cast(ei); const auto& entry = p.entries[e]; if (entry.weight == 0) continue; - Net::Item it; - it.entry = static_cast(e); - it.head = static_cast(h); - if (entry.tunnel >= 0) { - it.tunnel = entry.tunnel; - it.nocc = static_cast(path_of(p.tunnels[static_cast(entry.tunnel)]).size()); + ForwardingNetwork::Item it; + it.entry_position = static_cast(e); + it.source_index = static_cast(h); + if (entry.tunnel_position >= 0) { + it.tunnel_position = entry.tunnel_position; + it.num_occurrences = static_cast(path_of(p.tunnels[static_cast(entry.tunnel_position)]).size()); } else { - it.plan = view.plan(static_cast(entry.context)).get(); - const auto r = view.root_of(e); - it.root_pos = r < 0 ? -1 : it.plan->root_pos[static_cast(r)]; - if (it.root_pos < 0) { - net.item_of[e] = -2; // its share has no route: lost at the source + it.prepared_route = view.prepared_route(static_cast(entry.split_context_position)).get(); + const auto r = view.context_source_index(e); + it.source_position = r < 0 ? -1 : it.prepared_route->source_positions[static_cast(r)]; + if (it.source_position < 0) { + net.entry_occurrence_positions[e] = -2; // its share has no route: lost at the source continue; } - it.nocc = static_cast(it.plan->members.size()); - it.pos0 = net.num_pos; - net.num_pos += static_cast(it.plan->topo.size()); + it.num_occurrences = static_cast(it.prepared_route->forwarding_edges.size()); + it.first_router_position = net.num_router_positions; + net.num_router_positions += static_cast(it.prepared_route->topological_order.size()); } - net.item_of[e] = static_cast(net.items.size()); - net.items.push_back(it); + net.entry_occurrence_positions[e] = static_cast(net.entry_occurrences.size()); + net.entry_occurrences.push_back(it); } } std::int32_t nocc = 0; - for (auto& it : net.items) { - it.occ0 = nocc; - nocc += it.nocc; - if (it.tunnel >= 0) { - const auto edges = path_of(p.tunnels[static_cast(it.tunnel)]); - net.links.insert(net.links.end(), edges.begin(), edges.end()); + for (auto& it : net.entry_occurrences) { + it.first_occurrence = nocc; + nocc += it.num_occurrences; + if (it.tunnel_position >= 0) { + const auto edges = path_of(p.tunnels[static_cast(it.tunnel_position)]); + net.edges.insert(net.edges.end(), edges.begin(), edges.end()); } else { - net.links.insert(net.links.end(), it.plan->members.begin(), it.plan->members.end()); + net.edges.insert(net.edges.end(), it.prepared_route->forwarding_edges.begin(), it.prepared_route->forwarding_edges.end()); } } - std::sort(net.links.begin(), net.links.end()); - net.links.erase(std::unique(net.links.begin(), net.links.end()), net.links.end()); - net.V.resize(net.links.size()); - free(net.links, net.V); - for (std::size_t l = 0; view.dark != nullptr && l < net.links.size(); ++l) { - if (!view.dark->edge_ok(net.links[l])) net.V[l] = 0; + std::sort(net.edges.begin(), net.edges.end()); + net.edges.erase(std::unique(net.edges.begin(), net.edges.end()), net.edges.end()); + net.available_capacity.resize(net.edges.size()); + free(net.edges, net.available_capacity); + for (std::size_t l = 0; view.black_holes != nullptr && l < net.edges.size(); ++l) { + if (!view.black_holes->allows_edge(net.edges[l])) net.available_capacity[l] = 0; } const auto n = static_cast(nocc); - net.occ_link.resize(n); - net.occ_item.resize(n); - net.occ_pos.resize(n); - for (std::size_t i = 0; i < net.items.size(); ++i) { - const auto& it = net.items[i]; - for (std::int32_t j = 0; j < it.nocc; ++j) { - const auto o = static_cast(it.occ0 + j); - const EdgeId e = it.tunnel >= 0 ? path_of(p.tunnels[static_cast(it.tunnel)])[static_cast(j)] - : it.plan->members[static_cast(j)]; - net.occ_link[o] = link_index(net, e); - net.occ_item[o] = static_cast(i); - net.occ_pos[o] = j; + net.occurrence_edge_positions.resize(n); + net.occurrence_entry_positions.resize(n); + net.occurrence_route_positions.resize(n); + for (std::size_t i = 0; i < net.entry_occurrences.size(); ++i) { + const auto& it = net.entry_occurrences[i]; + for (std::int32_t j = 0; j < it.num_occurrences; ++j) { + const auto o = static_cast(it.first_occurrence + j); + const EdgeId e = it.tunnel_position >= 0 ? path_of(p.tunnels[static_cast(it.tunnel_position)])[static_cast(j)] + : it.prepared_route->forwarding_edges[static_cast(j)]; + net.occurrence_edge_positions[o] = edge_position(net, e); + net.occurrence_entry_positions[o] = static_cast(i); + net.occurrence_route_positions[o] = j; } } - net.pos_item.resize(static_cast(net.num_pos)); - net.in_member.assign(static_cast(net.num_pos), -1); - for (std::size_t i = 0; i < net.items.size(); ++i) { - const auto& it = net.items[i]; - if (it.tunnel >= 0) continue; - for (std::size_t pos = 0; pos < it.plan->topo.size(); ++pos) net.pos_item[static_cast(it.pos0) + pos] = static_cast(i); - for (std::int32_t m = 0; m < it.nocc; ++m) { - auto& slot = net.in_member[static_cast(it.pos0 + it.plan->head_pos[static_cast(m)])]; + net.router_entry_positions.resize(static_cast(net.num_router_positions)); + net.incoming_edge_positions.assign(static_cast(net.num_router_positions), -1); + for (std::size_t i = 0; i < net.entry_occurrences.size(); ++i) { + const auto& it = net.entry_occurrences[i]; + if (it.tunnel_position >= 0) continue; + for (std::size_t pos = 0; pos < it.prepared_route->topological_order.size(); ++pos) net.router_entry_positions[static_cast(it.first_router_position) + pos] = static_cast(i); + for (std::int32_t m = 0; m < it.num_occurrences; ++m) { + auto& slot = net.incoming_edge_positions[static_cast(it.first_router_position + it.prepared_route->edge_destination_positions[static_cast(m)])]; slot = slot == -1 ? m : -2; } } - net.link_begin.assign(net.links.size() + 1, 0); - for (auto l : net.occ_link) ++net.link_begin[static_cast(l) + 1]; - for (std::size_t l = 0; l < net.links.size(); ++l) net.link_begin[l + 1] += net.link_begin[l]; - net.by_link.resize(n); - std::vector fill(net.link_begin.begin(), net.link_begin.end() - 1); + net.edge_occurrence_offsets.assign(net.edges.size() + 1, 0); + for (auto l : net.occurrence_edge_positions) ++net.edge_occurrence_offsets[static_cast(l) + 1]; + for (std::size_t l = 0; l < net.edges.size(); ++l) net.edge_occurrence_offsets[l + 1] += net.edge_occurrence_offsets[l]; + net.occurrences_by_edge.resize(n); + std::vector fill(net.edge_occurrence_offsets.begin(), net.edge_occurrence_offsets.end() - 1); // Occurrences are numbered by item, items by (head, entry index): each link's list comes out in // the loss rule's order (sources ascending, then entries ascending). - for (std::size_t o = 0; o < n; ++o) net.by_link[static_cast(fill[static_cast(net.occ_link[o])]++)] = static_cast(o); + for (std::size_t o = 0; o < n; ++o) net.occurrences_by_edge[static_cast(fill[static_cast(net.occurrence_edge_positions[o])]++)] = static_cast(o); return net; } // The no-drop loads of the entries' shares per link (and per occurrence when `occ` is given). // A split route allocates its share over its plan from its root. -void no_drop(const Net& net, const ProgramData& p, std::span share, std::vector& load, +void no_drop(const ForwardingNetwork& net, const ProgramData& p, std::span share, std::vector& load, std::vector* occ, std::vector& scratch) { - load.assign(net.links.size(), 0); - if (occ != nullptr) occ->assign(net.occ_link.size(), 0); - for (const auto& it : net.items) { - const Amount s = share[static_cast(it.entry)]; + load.assign(net.edges.size(), 0); + if (occ != nullptr) occ->assign(net.occurrence_edge_positions.size(), 0); + for (const auto& it : net.entry_occurrences) { + const Amount s = share[static_cast(it.entry_position)]; if (s == 0) continue; - if (it.tunnel >= 0) { - for (std::int32_t j = 0; j < it.nocc; ++j) { - const auto o = static_cast(it.occ0 + j); - load[static_cast(net.occ_link[o])] += s; + if (it.tunnel_position >= 0) { + for (std::int32_t j = 0; j < it.num_occurrences; ++j) { + const auto o = static_cast(it.first_occurrence + j); + load[static_cast(net.occurrence_edge_positions[o])] += s; if (occ != nullptr) (*occ)[o] = s; } continue; } - scratch.resize(it.plan->members.size()); - (void)allocate(*it.plan, s, scratch); - for (std::int32_t j = 0; j < it.nocc; ++j) { - const auto o = static_cast(it.occ0 + j); - load[static_cast(net.occ_link[o])] += scratch[static_cast(j)]; + scratch.resize(it.prepared_route->forwarding_edges.size()); + (void)allocate(*it.prepared_route, s, scratch); + for (std::int32_t j = 0; j < it.num_occurrences; ++j) { + const auto o = static_cast(it.first_occurrence + j); + load[static_cast(net.occurrence_edge_positions[o])] += scratch[static_cast(j)]; if (occ != nullptr) (*occ)[o] = scratch[static_cast(j)]; } } @@ -720,12 +720,12 @@ void no_drop(const Net& net, const ProgramData& p, std::span share // The router split of a split route's plan position p: round robin or highest averages over // its out-members. -void split_at(const KernelPlan& plan, std::size_t pos, Amount amount, std::span out) { - const auto b = static_cast(plan.out_begin[pos]); - const auto e = static_cast(plan.out_end[pos]); +void split_at(const PreparedRoute& plan, std::size_t pos, Amount amount, std::span out) { + const auto b = static_cast(plan.outgoing_begin[pos]); + const auto e = static_cast(plan.outgoing_end[pos]); std::fill(out.begin(), out.end(), 0); if (amount == 0 || e == b) return; - if (plan.placement == FlowPlacement::Weighted) { + if (plan.allocation == RouteAllocation::Weighted) { highest_averages(amount, std::span(plan.weights.data() + b, e - b), out); } else { (void)round_robin(amount, out); @@ -735,7 +735,7 @@ void split_at(const KernelPlan& plan, std::size_t pos, Amount amount, std::span< // The loss rule at one link: T = min(V, sum of the arrivals); highest averages over the sources' // arrivals, then within a source over its entries'. `occs` lists the link's occurrences by // (source, entry); writes their carried amounts. -void loss_rule(const Net& net, std::span occs, Amount V, std::span arrival, +void loss_rule(const ForwardingNetwork& net, std::span occs, Amount V, std::span arrival, std::span carried, std::vector& wa, std::vector& wb) { Amount sum = 0; for (auto o : occs) sum += arrival[static_cast(o)]; @@ -747,8 +747,8 @@ void loss_rule(const Net& net, std::span occs, Amount V, std wa.clear(); std::vector run; // the first index of each source's run for (std::size_t i = 0; i < occs.size(); ++i) { - const auto head = net.items[static_cast(net.occ_item[static_cast(occs[i])])].head; - if (i == 0 || head != net.items[static_cast(net.occ_item[static_cast(occs[i - 1])])].head) { + const auto head = net.entry_occurrences[static_cast(net.occurrence_entry_positions[static_cast(occs[i])])].source_index; + if (i == 0 || head != net.entry_occurrences[static_cast(net.occurrence_entry_positions[static_cast(occs[i - 1])])].source_index) { run.push_back(i); wa.push_back(0); } @@ -772,33 +772,33 @@ void loss_rule(const Net& net, std::span occs, Amount V, std // ---------------------------------------------------------------- the general lossless bound -ProgramFlow general_lossless(const ForwardingView& view, const FreeFn& free, Amount lo, std::optional hi) { +ProgramFlow general_lossless(const ForwardingView& view, const AvailableCapacityFn& free, Amount lo, std::optional hi) { const ProgramData& p = *view.data; - const Net net = build_net(view, free); - const std::size_t k = view.num_heads(); + const ForwardingNetwork net = build_forwarding_network(view, free); + const std::size_t k = view.num_sources(); std::vector heads(k); std::vector share; - std::vector head_lost; + std::vector source_drops_by_source; std::vector w; std::vector part; std::vector load; std::vector scratch; auto fits = [&](Amount t) { - head_shares(view, t, heads); + source_shares(view, t, heads); // Units no head receives (every captured weight 0) have no route. Amount given = 0; for (Amount x : heads) given += x; if (given != t) return false; - entry_shares(view, heads, share, head_lost, w, part); - for (Amount x : head_lost) { + entry_shares(view, heads, share, source_drops_by_source, w, part); + for (Amount x : source_drops_by_source) { if (x != 0) return false; } for (std::size_t e = 0; e < share.size(); ++e) { - if (share[e] != 0 && net.item_of[e] == -2) return false; // a share with no route + if (share[e] != 0 && net.entry_occurrence_positions[e] == -2) return false; // a share with no route } no_drop(net, p, share, load, nullptr, scratch); for (std::size_t l = 0; l < load.size(); ++l) { - if (load[l] > net.V[l]) return false; + if (load[l] > net.available_capacity[l]) return false; } return true; }; @@ -806,19 +806,19 @@ ProgramFlow general_lossless(const ForwardingView& view, const FreeFn& free, Amo // with no head, nothing enters. Amount top = 0; { - std::vector first(net.links.size(), 0); - for (const auto& it : net.items) { - if (it.tunnel >= 0) { - first[static_cast(net.occ_link[static_cast(it.occ0)])] = 1; + std::vector first(net.edges.size(), 0); + for (const auto& it : net.entry_occurrences) { + if (it.tunnel_position >= 0) { + first[static_cast(net.occurrence_edge_positions[static_cast(it.first_occurrence)])] = 1; } else { - const auto rp = static_cast(it.root_pos); - for (auto m = it.plan->out_begin[rp]; m < it.plan->out_end[rp]; ++m) { - first[static_cast(net.occ_link[static_cast(it.occ0 + m)])] = 1; + const auto rp = static_cast(it.source_position); + for (auto m = it.prepared_route->outgoing_begin[rp]; m < it.prepared_route->outgoing_end[rp]; ++m) { + first[static_cast(net.occurrence_edge_positions[static_cast(it.first_occurrence + m)])] = 1; } } } for (std::size_t l = 0; l < first.size(); ++l) { - if (first[l] != 0) top += net.V[l]; + if (first[l] != 0) top += net.available_capacity[l]; } } Amount upper = hi.has_value() ? std::min(*hi, std::max(top, lo)) : std::max(top, lo); @@ -843,51 +843,51 @@ ProgramFlow general_lossless(const ForwardingView& view, const FreeFn& free, Amo } // The loads of the admitted total. ProgramFlow out = empty_flow(view, false); - out.total = best; - head_shares(view, best, out.head_offered); - entry_shares(view, out.head_offered, share, head_lost, w, part); + out.admitted = best; + source_shares(view, best, out.offered_by_source); + entry_shares(view, out.offered_by_source, share, source_drops_by_source, w, part); std::vector occ; no_drop(net, p, share, load, &occ, scratch); for (std::size_t l = 0; l < load.size(); ++l) { - if (load[l] > net.V[l]) throw std::logic_error("forwarding: the admitted total does not fit"); + if (load[l] > net.available_capacity[l]) throw std::logic_error("forwarding: the admitted total does not fit"); } - for (Amount x : out.head_offered) out.offered += x; + for (Amount x : out.offered_by_source) out.offered += x; out.delivered = out.offered; - for (const auto& it : net.items) { - auto& f = out.entries[static_cast(it.entry)]; - f.assigned = share[static_cast(it.entry)]; + for (const auto& it : net.entry_occurrences) { + auto& f = out.entries[static_cast(it.entry_position)]; + f.assigned = share[static_cast(it.entry_position)]; f.delivered = f.assigned; - for (std::int32_t j = 0; j < it.nocc; ++j) { - const auto o = static_cast(it.occ0 + j); - if (occ[o] != 0) f.carried.emplace_back(net.links[static_cast(net.occ_link[o])], occ[o]); + for (std::int32_t j = 0; j < it.num_occurrences; ++j) { + const auto o = static_cast(it.first_occurrence + j); + if (occ[o] != 0) f.edge_flows.emplace_back(net.edges[static_cast(net.occurrence_edge_positions[o])], occ[o]); } - if (it.tunnel >= 0) sort_pairs(f.carried); + if (it.tunnel_position >= 0) sort_pairs(f.edge_flows); } return out; } // ---------------------------------------------------------------- the general loss rule (A+) -class Lossy { +class LossyForwardingEvaluator { public: - Lossy(const ForwardingView& view, const Net& net) : view_(view), p_(*view.data), net_(net) {} + LossyForwardingEvaluator(const ForwardingView& view, const ForwardingNetwork& net) : view_(view), p_(*view.data), net_(net) {} ProgramFlow run(std::span injections); private: // Event ids: barriers [0, nb), routers [nb, nb + num_pos). - [[nodiscard]] std::int32_t router(const Net::Item& it, std::int32_t pos) const noexcept { - return nb_ + it.pos0 + pos; + [[nodiscard]] std::int32_t router(const ForwardingNetwork::Item& it, std::int32_t pos) const noexcept { + return num_barriers_ + it.first_router_position + pos; } [[nodiscard]] std::int32_t event_of_occ(std::int32_t o) const noexcept { - return barrier_[static_cast(net_.occ_link[static_cast(o)])]; + return barrier_[static_cast(net_.occurrence_edge_positions[static_cast(o)])]; } // A push into event `ev` is suppressed while a group iterates and ev lies outside it. - [[nodiscard]] bool blocked(std::int32_t ev) const noexcept { return iterating_ && scc_[static_cast(ev)] != current_; } + [[nodiscard]] bool blocked(std::int32_t ev) const noexcept { return iterating_ && scc_[static_cast(ev)] != current_component_; } - void normalize(std::span U0); + void normalize_serial_links(std::span U0); void build_events(); - void tarjan(); + void find_strong_components(); void carry(std::int32_t o, Amount c); void split(std::int32_t ev); void evaluate_barrier(std::int32_t ev); @@ -896,31 +896,31 @@ class Lossy { const ForwardingView& view_; const ProgramData& p_; - const Net& net_; - std::vector tail_; // per occurrence of a split route: its member's tail position + const ForwardingNetwork& net_; + std::vector occurrence_source_positions_; // per occurrence of a split route: its member's tail position std::vector transparent_; // per link: the second link of a transparent pair std::vector barrier_; // per link: its event, or -1 (a pass-through) std::vector barrier_link_; - std::int32_t nb_ {0}; + std::int32_t num_barriers_ {0}; std::int32_t num_events_ {0}; - std::vector adj_begin_; - std::vector adj_; + std::vector dependency_offsets_; + std::vector dependencies_; std::vector scc_; std::int32_t num_scc_ {0}; bool iterating_ {false}; - std::int32_t current_ {-1}; + std::int32_t current_component_ {-1}; std::vector arrival_; std::vector carried_; std::vector inflow_; // per router position std::vector delivered_; // per item - std::vector part_; - std::vector wa_; - std::vector wb_; + std::vector outgoing_shares_; + std::vector source_arrivals_; + std::vector source_carries_; bool iterated_ {false}; }; -void Lossy::normalize(std::span U0) { - const std::size_t L = net_.links.size(); +void LossyForwardingEvaluator::normalize_serial_links(std::span U0) { + const std::size_t L = net_.edges.size(); transparent_.assign(L, 0); // Per link: the one link every occurrence continues on, and the one every occurrence comes from // (-1: none yet; -2: they differ, or an occurrence is injected, absorbed, merged or split there). @@ -933,29 +933,29 @@ void Lossy::normalize(std::span U0) { slot = -2; } }; - for (std::size_t o = 0; o < net_.occ_link.size(); ++o) { - const auto l = static_cast(net_.occ_link[o]); - const auto& it = net_.items[static_cast(net_.occ_item[o])]; - const std::int32_t j = net_.occ_pos[o]; + for (std::size_t o = 0; o < net_.occurrence_edge_positions.size(); ++o) { + const auto l = static_cast(net_.occurrence_edge_positions[o]); + const auto& it = net_.entry_occurrences[static_cast(net_.occurrence_entry_positions[o])]; + const std::int32_t j = net_.occurrence_route_positions[o]; std::int32_t succ = -2; std::int32_t pred = -2; - if (it.tunnel >= 0) { - if (j + 1 < it.nocc) succ = net_.occ_link[static_cast(it.occ0 + j + 1)]; - if (j > 0) pred = net_.occ_link[static_cast(it.occ0 + j - 1)]; + if (it.tunnel_position >= 0) { + if (j + 1 < it.num_occurrences) succ = net_.occurrence_edge_positions[static_cast(it.first_occurrence + j + 1)]; + if (j > 0) pred = net_.occurrence_edge_positions[static_cast(it.first_occurrence + j - 1)]; } else { - const auto& plan = *it.plan; + const auto& plan = *it.prepared_route; // Continues: its head is no destination and no root, holds this member alone as its // in-member and has one out-member. - const auto q = static_cast(plan.head_pos[static_cast(j)]); - if (plan.terminal[q] == 0 && static_cast(q) != it.root_pos && - plan.out_end[q] - plan.out_begin[q] == 1 && net_.in_member[static_cast(it.pos0) + q] == j) { - succ = net_.occ_link[static_cast(it.occ0 + plan.out_begin[q])]; + const auto q = static_cast(plan.edge_destination_positions[static_cast(j)]); + if (plan.is_destination[q] == 0 && static_cast(q) != it.source_position && + plan.outgoing_end[q] - plan.outgoing_begin[q] == 1 && net_.incoming_edge_positions[static_cast(it.first_router_position) + q] == j) { + succ = net_.occurrence_edge_positions[static_cast(it.first_occurrence + plan.outgoing_begin[q])]; } // Comes from: its tail is no root, has one in-member and this one out-member. - const auto t = static_cast(tail_[static_cast(it.occ0 + j)]); - const auto in = net_.in_member[static_cast(it.pos0) + t]; - if (static_cast(t) != it.root_pos && in >= 0 && plan.out_end[t] - plan.out_begin[t] == 1) { - pred = net_.occ_link[static_cast(it.occ0 + in)]; + const auto t = static_cast(occurrence_source_positions_[static_cast(it.first_occurrence + j)]); + const auto in = net_.incoming_edge_positions[static_cast(it.first_router_position) + t]; + if (static_cast(t) != it.source_position && in >= 0 && plan.outgoing_end[t] - plan.outgoing_begin[t] == 1) { + pred = net_.occurrence_edge_positions[static_cast(it.first_occurrence + in)]; } } merge(next[l], succ); @@ -965,40 +965,40 @@ void Lossy::normalize(std::span U0) { const auto n = next[l]; if (n < 0) continue; const auto ni = static_cast(n); - if (prev[ni] != static_cast(l) || net_.V[l] != net_.V[ni]) continue; + if (prev[ni] != static_cast(l) || net_.available_capacity[l] != net_.available_capacity[ni]) continue; transparent_[ni] = 1; } barrier_.assign(L, -1); barrier_link_.clear(); for (std::size_t l = 0; l < L; ++l) { - if (transparent_[l] == 0 && U0[l] > net_.V[l]) { + if (transparent_[l] == 0 && U0[l] > net_.available_capacity[l]) { barrier_[l] = static_cast(barrier_link_.size()); barrier_link_.push_back(static_cast(l)); } } - nb_ = static_cast(barrier_link_.size()); - num_events_ = nb_ + net_.num_pos; + num_barriers_ = static_cast(barrier_link_.size()); + num_events_ = num_barriers_ + net_.num_router_positions; } -void Lossy::build_events() { +void LossyForwardingEvaluator::build_events() { std::vector> edges; - for (const auto& it : net_.items) { - if (it.tunnel >= 0) { + for (const auto& it : net_.entry_occurrences) { + if (it.tunnel_position >= 0) { std::int32_t last = -1; - for (std::int32_t j = 0; j < it.nocc; ++j) { - const auto ev = event_of_occ(it.occ0 + j); + for (std::int32_t j = 0; j < it.num_occurrences; ++j) { + const auto ev = event_of_occ(it.first_occurrence + j); if (ev < 0) continue; if (last >= 0) edges.emplace_back(last, ev); last = ev; } continue; } - const auto& plan = *it.plan; - for (std::size_t pos = 0; pos < plan.topo.size(); ++pos) { - for (auto m = plan.out_begin[pos]; m < plan.out_end[pos]; ++m) { - const auto o = it.occ0 + m; + const auto& plan = *it.prepared_route; + for (std::size_t pos = 0; pos < plan.topological_order.size(); ++pos) { + for (auto m = plan.outgoing_begin[pos]; m < plan.outgoing_end[pos]; ++m) { + const auto o = it.first_occurrence + m; const auto from = router(it, static_cast(pos)); - const auto to = router(it, plan.head_pos[static_cast(m)]); + const auto to = router(it, plan.edge_destination_positions[static_cast(m)]); const auto ev = event_of_occ(o); if (ev >= 0) { edges.emplace_back(from, ev); @@ -1009,16 +1009,16 @@ void Lossy::build_events() { } } } - adj_begin_.assign(static_cast(num_events_) + 1, 0); - for (const auto& [a, b] : edges) ++adj_begin_[static_cast(a) + 1]; - for (std::size_t v = 0; v < static_cast(num_events_); ++v) adj_begin_[v + 1] += adj_begin_[v]; - adj_.resize(edges.size()); - std::vector fill(adj_begin_.begin(), adj_begin_.end() - 1); - for (const auto& [a, b] : edges) adj_[static_cast(fill[static_cast(a)]++)] = b; + dependency_offsets_.assign(static_cast(num_events_) + 1, 0); + for (const auto& [a, b] : edges) ++dependency_offsets_[static_cast(a) + 1]; + for (std::size_t v = 0; v < static_cast(num_events_); ++v) dependency_offsets_[v + 1] += dependency_offsets_[v]; + dependencies_.resize(edges.size()); + std::vector fill(dependency_offsets_.begin(), dependency_offsets_.end() - 1); + for (const auto& [a, b] : edges) dependencies_[static_cast(fill[static_cast(a)]++)] = b; } // Tarjan's strongly connected components, iterative (no recursion depth). -void Lossy::tarjan() { +void LossyForwardingEvaluator::find_strong_components() { const auto n = static_cast(num_events_); scc_.assign(n, -1); std::vector index(n, -1); @@ -1030,21 +1030,21 @@ void Lossy::tarjan() { num_scc_ = 0; for (std::size_t s = 0; s < n; ++s) { if (index[s] >= 0) continue; - work.emplace_back(static_cast(s), adj_begin_[s]); + work.emplace_back(static_cast(s), dependency_offsets_[s]); index[s] = low[s] = counter++; stack.push_back(static_cast(s)); on[s] = 1; while (!work.empty()) { auto& [v, k] = work.back(); const auto vi = static_cast(v); - if (k < adj_begin_[vi + 1]) { - const auto w = static_cast(adj_[static_cast(k)]); + if (k < dependency_offsets_[vi + 1]) { + const auto w = static_cast(dependencies_[static_cast(k)]); ++k; if (index[w] < 0) { index[w] = low[w] = counter++; stack.push_back(static_cast(w)); on[w] = 1; - work.emplace_back(static_cast(w), adj_begin_[w]); + work.emplace_back(static_cast(w), dependency_offsets_[w]); } else if (on[w] != 0) { low[vi] = std::min(low[vi], index[w]); } @@ -1072,23 +1072,23 @@ void Lossy::tarjan() { // Occurrence o now carries c: forward it to what it feeds (a split route's head router, a // tunnel's next hops up to its next barrier or its end). -void Lossy::carry(std::int32_t o, Amount c) { +void LossyForwardingEvaluator::carry(std::int32_t o, Amount c) { carried_[static_cast(o)] = c; - const auto& it = net_.items[static_cast(net_.occ_item[static_cast(o)])]; - const std::int32_t j = net_.occ_pos[static_cast(o)]; - if (it.tunnel < 0) { - const auto q = it.plan->head_pos[static_cast(j)]; + const auto& it = net_.entry_occurrences[static_cast(net_.occurrence_entry_positions[static_cast(o)])]; + const std::int32_t j = net_.occurrence_route_positions[static_cast(o)]; + if (it.tunnel_position < 0) { + const auto q = it.prepared_route->edge_destination_positions[static_cast(j)]; const auto ev = router(it, q); - if (!blocked(ev)) inflow_[static_cast(it.pos0 + q)] += c; + if (!blocked(ev)) inflow_[static_cast(it.first_router_position + q)] += c; return; } for (std::int32_t h = j + 1;; ++h) { - if (h == it.nocc) { + if (h == it.num_occurrences) { // The tunnel's end is no event of a group. - if (!iterating_) delivered_[static_cast(net_.occ_item[static_cast(o)])] = c; + if (!iterating_) delivered_[static_cast(net_.occurrence_entry_positions[static_cast(o)])] = c; return; } - const auto o2 = it.occ0 + h; + const auto o2 = it.first_occurrence + h; const auto ev = event_of_occ(o2); if (ev >= 0) { if (!blocked(ev)) arrival_[static_cast(o2)] = c; @@ -1101,19 +1101,19 @@ void Lossy::carry(std::int32_t o, Amount c) { // A router splits what it holds once over its out-members; a pass-through member carries its // whole arrival on at once. -void Lossy::split(std::int32_t ev) { - const auto pos_global = ev - nb_; - const auto& it = net_.items[static_cast(net_.pos_item[static_cast(pos_global)])]; - const auto& plan = *it.plan; - const auto pos = static_cast(pos_global - it.pos0); - if (plan.terminal[pos] != 0) return; - const auto b = static_cast(plan.out_begin[pos]); - const auto e = static_cast(plan.out_end[pos]); - part_.resize(e - b); - split_at(plan, pos, inflow_[static_cast(pos_global)], part_); +void LossyForwardingEvaluator::split(std::int32_t ev) { + const auto pos_global = ev - num_barriers_; + const auto& it = net_.entry_occurrences[static_cast(net_.router_entry_positions[static_cast(pos_global)])]; + const auto& plan = *it.prepared_route; + const auto pos = static_cast(pos_global - it.first_router_position); + if (plan.is_destination[pos] != 0) return; + const auto b = static_cast(plan.outgoing_begin[pos]); + const auto e = static_cast(plan.outgoing_end[pos]); + outgoing_shares_.resize(e - b); + split_at(plan, pos, inflow_[static_cast(pos_global)], outgoing_shares_); for (std::size_t m = b; m < e; ++m) { - const auto o = it.occ0 + static_cast(m); - const Amount x = part_[m - b]; + const auto o = it.first_occurrence + static_cast(m); + const Amount x = outgoing_shares_[m - b]; const auto bev = event_of_occ(o); if (bev >= 0) { if (!blocked(bev)) arrival_[static_cast(o)] = x; @@ -1124,31 +1124,31 @@ void Lossy::split(std::int32_t ev) { } } -void Lossy::evaluate_barrier(std::int32_t ev) { +void LossyForwardingEvaluator::evaluate_barrier(std::int32_t ev) { const auto l = static_cast(barrier_link_[static_cast(ev)]); - const auto occs = std::span(net_.by_link).subspan( - static_cast(net_.link_begin[l]), static_cast(net_.link_begin[l + 1] - net_.link_begin[l])); - loss_rule(net_, occs, net_.V[l], arrival_, carried_, wa_, wb_); + const auto occs = std::span(net_.occurrences_by_edge).subspan( + static_cast(net_.edge_occurrence_offsets[l]), static_cast(net_.edge_occurrence_offsets[l + 1] - net_.edge_occurrence_offsets[l])); + loss_rule(net_, occs, net_.available_capacity[l], arrival_, carried_, source_arrivals_, source_carries_); for (auto o : occs) carry(o, carried_[static_cast(o)]); } -// A cyclic group (9.4): rounds from zero carried at its barriers. -void Lossy::iterate(std::int32_t scc) { +// A cyclic group: rounds from zero carried at its barriers. +void LossyForwardingEvaluator::iterate(std::int32_t scc) { iterated_ = true; - current_ = scc; + current_component_ = scc; std::vector barriers; std::vector routers; for (std::int32_t ev = 0; ev < num_events_; ++ev) { if (scc_[static_cast(ev)] != scc) continue; - (ev < nb_ ? barriers : routers).push_back(ev); + (ev < num_barriers_ ? barriers : routers).push_back(ev); } // The group's routers in an order that respects router -> router edges (barriers cut). { std::vector indeg(static_cast(num_events_), 0); for (auto r : routers) { - for (auto k = adj_begin_[static_cast(r)]; k < adj_begin_[static_cast(r) + 1]; ++k) { - const auto w = adj_[static_cast(k)]; - if (w >= nb_ && scc_[static_cast(w)] == scc) ++indeg[static_cast(w)]; + for (auto k = dependency_offsets_[static_cast(r)]; k < dependency_offsets_[static_cast(r) + 1]; ++k) { + const auto w = dependencies_[static_cast(k)]; + if (w >= num_barriers_ && scc_[static_cast(w)] == scc) ++indeg[static_cast(w)]; } } std::vector order; @@ -1160,9 +1160,9 @@ void Lossy::iterate(std::int32_t scc) { const auto r = ready.back(); ready.pop_back(); order.push_back(r); - for (auto k = adj_begin_[static_cast(r)]; k < adj_begin_[static_cast(r) + 1]; ++k) { - const auto w = adj_[static_cast(k)]; - if (w >= nb_ && scc_[static_cast(w)] == scc && --indeg[static_cast(w)] == 0) ready.push_back(w); + for (auto k = dependency_offsets_[static_cast(r)]; k < dependency_offsets_[static_cast(r) + 1]; ++k) { + const auto w = dependencies_[static_cast(k)]; + if (w >= num_barriers_ && scc_[static_cast(w)] == scc && --indeg[static_cast(w)] == 0) ready.push_back(w); } } routers.swap(order); @@ -1172,16 +1172,16 @@ void Lossy::iterate(std::int32_t scc) { std::vector occs; for (auto b : barriers) { const auto l = static_cast(barrier_link_[static_cast(b)]); - for (auto i = net_.link_begin[l]; i < net_.link_begin[l + 1]; ++i) occs.push_back(net_.by_link[static_cast(i)]); + for (auto i = net_.edge_occurrence_offsets[l]; i < net_.edge_occurrence_offsets[l + 1]; ++i) occs.push_back(net_.occurrences_by_edge[static_cast(i)]); } std::vector inflow0(routers.size()); - for (std::size_t i = 0; i < routers.size(); ++i) inflow0[i] = inflow_[static_cast(routers[i] - nb_)]; + for (std::size_t i = 0; i < routers.size(); ++i) inflow0[i] = inflow_[static_cast(routers[i] - num_barriers_)]; std::vector x(occs.size(), 0); std::vector next(occs.size(), 0); std::vector before(occs.size(), 0); // x(r - 2) const auto limit = static_cast(64) * static_cast(barriers.size()); auto replay = [&]() { - for (std::size_t i = 0; i < routers.size(); ++i) inflow_[static_cast(routers[i] - nb_)] = inflow0[i]; + for (std::size_t i = 0; i < routers.size(); ++i) inflow_[static_cast(routers[i] - num_barriers_)] = inflow0[i]; for (std::size_t i = 0; i < occs.size(); ++i) carry(occs[i], x[i]); for (auto r : routers) split(r); }; @@ -1195,9 +1195,9 @@ void Lossy::iterate(std::int32_t scc) { // Every new carry into a separate state. for (auto b : barriers) { const auto l = static_cast(barrier_link_[static_cast(b)]); - const auto span = std::span(net_.by_link).subspan( - static_cast(net_.link_begin[l]), static_cast(net_.link_begin[l + 1] - net_.link_begin[l])); - loss_rule(net_, span, net_.V[l], arrival_, carried_, wa_, wb_); + const auto span = std::span(net_.occurrences_by_edge).subspan( + static_cast(net_.edge_occurrence_offsets[l]), static_cast(net_.edge_occurrence_offsets[l + 1] - net_.edge_occurrence_offsets[l])); + loss_rule(net_, span, net_.available_capacity[l], arrival_, carried_, source_arrivals_, source_carries_); } for (std::size_t i = 0; i < occs.size(); ++i) next[i] = carried_[static_cast(occs[i])]; if (next == x) { @@ -1217,28 +1217,28 @@ void Lossy::iterate(std::int32_t scc) { } // The solved state's forwarding, now also into the group's successors. iterating_ = false; - current_ = -1; - for (std::size_t i = 0; i < routers.size(); ++i) inflow_[static_cast(routers[i] - nb_)] = inflow0[i]; + current_component_ = -1; + for (std::size_t i = 0; i < routers.size(); ++i) inflow_[static_cast(routers[i] - num_barriers_)] = inflow0[i]; for (std::size_t i = 0; i < occs.size(); ++i) carry(occs[i], x[i]); for (auto r : routers) split(r); } -// The independent check of an iterated result (9.4 step 5): every entry's injection, every -// router's split of what reaches it, every link's loss rule and capacity, every continuation, and -// each entry's conservation (delivered + drops = its share). -void Lossy::verify(std::span share) const { +// The independent check of an iterated result (docs/semantics.md, "Losses inside one program"): +// every entry's injection, every router's split of what reaches it, every link's loss rule and +// capacity, every continuation, and each entry's conservation (delivered + drops = its share). +void LossyForwardingEvaluator::verify(std::span share) const { const auto fail = [] { throw std::runtime_error("lossy forwarding fixed-point verification failed"); }; // Continuations and splits. - std::vector in(static_cast(net_.num_pos), 0); + std::vector in(static_cast(net_.num_router_positions), 0); std::vector part; - for (std::size_t i = 0; i < net_.items.size(); ++i) { - const auto& it = net_.items[i]; - const Amount s = share[static_cast(it.entry)]; - if (it.tunnel >= 0) { + for (std::size_t i = 0; i < net_.entry_occurrences.size(); ++i) { + const auto& it = net_.entry_occurrences[i]; + const Amount s = share[static_cast(it.entry_position)]; + if (it.tunnel_position >= 0) { Amount prev = s; Amount dropped = 0; - for (std::int32_t j = 0; j < it.nocc; ++j) { - const auto o = static_cast(it.occ0 + j); + for (std::int32_t j = 0; j < it.num_occurrences; ++j) { + const auto o = static_cast(it.first_occurrence + j); if (arrival_[o] != prev || carried_[o] > arrival_[o] || carried_[o] < 0) fail(); dropped += arrival_[o] - carried_[o]; prev = carried_[o]; @@ -1246,25 +1246,25 @@ void Lossy::verify(std::span share) const { if (delivered_[i] != prev || delivered_[i] + dropped != s) fail(); continue; } - const auto& plan = *it.plan; - in[static_cast(it.pos0 + it.root_pos)] += s; + const auto& plan = *it.prepared_route; + in[static_cast(it.first_router_position + it.source_position)] += s; Amount dropped = 0; Amount reached = 0; - for (std::size_t pos = 0; pos < plan.topo.size(); ++pos) { - const Amount amount = in[static_cast(it.pos0) + pos]; - if (plan.terminal[pos] != 0) { + for (std::size_t pos = 0; pos < plan.topological_order.size(); ++pos) { + const Amount amount = in[static_cast(it.first_router_position) + pos]; + if (plan.is_destination[pos] != 0) { reached += amount; continue; } - const auto b = static_cast(plan.out_begin[pos]); - const auto e = static_cast(plan.out_end[pos]); + const auto b = static_cast(plan.outgoing_begin[pos]); + const auto e = static_cast(plan.outgoing_end[pos]); part.resize(e - b); split_at(plan, pos, amount, part); for (std::size_t m = b; m < e; ++m) { - const auto o = static_cast(it.occ0) + m; + const auto o = static_cast(it.first_occurrence) + m; if (arrival_[o] != part[m - b] || carried_[o] > arrival_[o] || carried_[o] < 0) fail(); dropped += arrival_[o] - carried_[o]; - in[static_cast(it.pos0 + plan.head_pos[m])] += carried_[o]; + in[static_cast(it.first_router_position + plan.edge_destination_positions[m])] += carried_[o]; } } if (delivered_[i] != reached || reached + dropped != s) fail(); @@ -1274,78 +1274,78 @@ void Lossy::verify(std::span share) const { std::vector expect(carried_.size(), 0); std::vector wa; std::vector wb; - for (std::size_t l = 0; l < net_.links.size(); ++l) { - const auto occs = std::span(net_.by_link).subspan( - static_cast(net_.link_begin[l]), static_cast(net_.link_begin[l + 1] - net_.link_begin[l])); + for (std::size_t l = 0; l < net_.edges.size(); ++l) { + const auto occs = std::span(net_.occurrences_by_edge).subspan( + static_cast(net_.edge_occurrence_offsets[l]), static_cast(net_.edge_occurrence_offsets[l + 1] - net_.edge_occurrence_offsets[l])); Amount sum = 0; for (auto o : occs) sum += carried_[static_cast(o)]; - if (sum > net_.V[l]) fail(); + if (sum > net_.available_capacity[l]) fail(); if (transparent_[l] != 0) { for (auto o : occs) { if (carried_[static_cast(o)] != arrival_[static_cast(o)]) fail(); } continue; } - loss_rule(net_, occs, net_.V[l], arrival_, expect, wa, wb); + loss_rule(net_, occs, net_.available_capacity[l], arrival_, expect, wa, wb); for (auto o : occs) { if (expect[static_cast(o)] != carried_[static_cast(o)]) fail(); } } } -ProgramFlow Lossy::run(std::span injections) { - const std::size_t k = view_.num_heads(); +ProgramFlow LossyForwardingEvaluator::run(std::span injections) { + const std::size_t k = view_.num_sources(); ProgramFlow out = empty_flow(view_, true); for (std::size_t h = 0; h < k; ++h) { - out.head_offered[h] = injections[h]; + out.offered_by_source[h] = injections[h]; out.offered += injections[h]; } - out.total = out.offered; + out.admitted = out.offered; std::vector share; - std::vector head_lost; + std::vector source_drops_by_source; std::vector w; std::vector part; - entry_shares(view_, injections, share, head_lost, w, part); + entry_shares(view_, injections, share, source_drops_by_source, w, part); for (std::size_t h = 0; h < k; ++h) { - out.head_lost[h] = head_lost[h]; - out.source_loss += head_lost[h]; + out.source_drops_by_source[h] = source_drops_by_source[h]; + out.source_drops += source_drops_by_source[h]; } for (std::size_t e = 0; e < share.size(); ++e) { out.entries[e].assigned = share[e]; - if (share[e] != 0 && net_.item_of[e] == -2) { - out.entries[e].lost = share[e]; - out.source_loss += share[e]; + if (share[e] != 0 && net_.entry_occurrence_positions[e] == -2) { + out.entries[e].source_drops = share[e]; + out.source_drops += share[e]; } } // A+: the no-drop loads first, then the barriers. std::vector U0; std::vector scratch; no_drop(net_, p_, share, U0, nullptr, scratch); - tail_.assign(net_.occ_link.size(), -1); - for (const auto& it : net_.items) { - if (it.tunnel >= 0) continue; - for (std::size_t pos = 0; pos < it.plan->topo.size(); ++pos) { - for (auto m = it.plan->out_begin[pos]; m < it.plan->out_end[pos]; ++m) tail_[static_cast(it.occ0 + m)] = static_cast(pos); + occurrence_source_positions_.assign(net_.occurrence_edge_positions.size(), -1); + for (const auto& it : net_.entry_occurrences) { + if (it.tunnel_position >= 0) continue; + for (std::size_t pos = 0; pos < it.prepared_route->topological_order.size(); ++pos) { + for (auto m = it.prepared_route->outgoing_begin[pos]; m < it.prepared_route->outgoing_end[pos]; ++m) occurrence_source_positions_[static_cast(it.first_occurrence + m)] = static_cast(pos); } } - normalize(U0); - const auto n = net_.occ_link.size(); + normalize_serial_links(U0); + const auto n = net_.occurrence_edge_positions.size(); arrival_.assign(n, 0); carried_.assign(n, 0); - inflow_.assign(static_cast(net_.num_pos), 0); - delivered_.assign(net_.items.size(), 0); + inflow_.assign(static_cast(net_.num_router_positions), 0); + delivered_.assign(net_.entry_occurrences.size(), 0); build_events(); - tarjan(); + find_strong_components(); // The injections: a tunnel's share enters its first hop, a split route's its root router. - for (std::size_t i = 0; i < net_.items.size(); ++i) { - const auto& it = net_.items[i]; - const Amount s = share[static_cast(it.entry)]; - if (it.tunnel >= 0) { - const auto o = it.occ0; + for (std::size_t i = 0; i < net_.entry_occurrences.size(); ++i) { + const auto& it = net_.entry_occurrences[i]; + const Amount s = share[static_cast(it.entry_position)]; + if (it.tunnel_position >= 0) { + const auto o = it.first_occurrence; arrival_[static_cast(o)] = s; if (event_of_occ(o) < 0) carry(o, s); } else { - inflow_[static_cast(it.pos0 + it.root_pos)] += s; + inflow_[static_cast(it.first_router_position + it.source_position)] += s; } } // The groups in dependency order, the smallest key first among the ready ones. @@ -1356,8 +1356,8 @@ ProgramFlow Lossy::run(std::span injections) { std::vector cyclic(ns, 0); for (std::int32_t ev = 0; ev < num_events_; ++ev) { const auto a = scc_[static_cast(ev)]; - for (auto kk = adj_begin_[static_cast(ev)]; kk < adj_begin_[static_cast(ev) + 1]; ++kk) { - const auto b = scc_[static_cast(adj_[static_cast(kk)])]; + for (auto kk = dependency_offsets_[static_cast(ev)]; kk < dependency_offsets_[static_cast(ev) + 1]; ++kk) { + const auto b = scc_[static_cast(dependencies_[static_cast(kk)])]; if (a == b) { cyclic[static_cast(a)] = 1; } else { @@ -1370,7 +1370,7 @@ ProgramFlow Lossy::run(std::span injections) { const auto& m = members[static_cast(s)]; std::int64_t edge = std::numeric_limits::max(); for (auto ev : m) { - if (ev < nb_) edge = std::min(edge, net_.links[static_cast(barrier_link_[static_cast(ev)])]); + if (ev < num_barriers_) edge = std::min(edge, net_.edges[static_cast(barrier_link_[static_cast(ev)])]); } if (edge != std::numeric_limits::max()) return {0, edge, s}; return {1, m.front(), s}; @@ -1388,25 +1388,25 @@ ProgramFlow Lossy::run(std::span injections) { ++thread_lossy_counters().groups; #endif iterate(s); - } else if (m.front() < nb_) { + } else if (m.front() < num_barriers_) { evaluate_barrier(m.front()); } else { split(m.front()); } for (auto ev : m) { - for (auto kk = adj_begin_[static_cast(ev)]; kk < adj_begin_[static_cast(ev) + 1]; ++kk) { - const auto b = scc_[static_cast(adj_[static_cast(kk)])]; + for (auto kk = dependency_offsets_[static_cast(ev)]; kk < dependency_offsets_[static_cast(ev) + 1]; ++kk) { + const auto b = scc_[static_cast(dependencies_[static_cast(kk)])]; if (b != s && --indeg[static_cast(b)] == 0) ready.push(key(b)); } } } // Split routes deliver what reaches their destinations. - for (std::size_t i = 0; i < net_.items.size(); ++i) { - const auto& it = net_.items[i]; - if (it.tunnel >= 0) continue; + for (std::size_t i = 0; i < net_.entry_occurrences.size(); ++i) { + const auto& it = net_.entry_occurrences[i]; + if (it.tunnel_position >= 0) continue; Amount d = 0; - for (std::size_t pos = 0; pos < it.plan->topo.size(); ++pos) { - if (it.plan->terminal[pos] != 0) d += inflow_[static_cast(it.pos0) + pos]; + for (std::size_t pos = 0; pos < it.prepared_route->topological_order.size(); ++pos) { + if (it.prepared_route->is_destination[pos] != 0) d += inflow_[static_cast(it.first_router_position) + pos]; } delivered_[i] = d; } @@ -1424,20 +1424,20 @@ ProgramFlow Lossy::run(std::span injections) { #endif verify(share); } - for (std::size_t i = 0; i < net_.items.size(); ++i) { - const auto& it = net_.items[i]; - auto& f = out.entries[static_cast(it.entry)]; + for (std::size_t i = 0; i < net_.entry_occurrences.size(); ++i) { + const auto& it = net_.entry_occurrences[i]; + auto& f = out.entries[static_cast(it.entry_position)]; f.delivered = delivered_[i]; out.delivered += delivered_[i]; - for (std::int32_t j = 0; j < it.nocc; ++j) { - const auto o = static_cast(it.occ0 + j); - const EdgeId e = net_.links[static_cast(net_.occ_link[o])]; - if (carried_[o] != 0) f.carried.emplace_back(e, carried_[o]); - if (arrival_[o] != carried_[o]) f.dropped.emplace_back(e, arrival_[o] - carried_[o]); + for (std::int32_t j = 0; j < it.num_occurrences; ++j) { + const auto o = static_cast(it.first_occurrence + j); + const EdgeId e = net_.edges[static_cast(net_.occurrence_edge_positions[o])]; + if (carried_[o] != 0) f.edge_flows.emplace_back(e, carried_[o]); + if (arrival_[o] != carried_[o]) f.edge_drops.emplace_back(e, arrival_[o] - carried_[o]); } - if (it.tunnel >= 0) { - sort_pairs(f.carried); - sort_pairs(f.dropped); + if (it.tunnel_position >= 0) { + sort_pairs(f.edge_flows); + sort_pairs(f.edge_drops); } } return out; @@ -1445,21 +1445,21 @@ ProgramFlow Lossy::run(std::span injections) { } // namespace -ProgramFlow lossless(const Graph& g, const ForwardingView& view, const FreeFn& free, Amount lo, std::optional hi) { - if (view.pooled) return pooled_lossless(g, view, free, lo, hi); +ProgramFlow lossless(const Graph& graph, const ForwardingView& view, const AvailableCapacityFn& free, Amount lo, std::optional hi) { + if (view.pooled) return pooled_lossless(graph, view, free, lo, hi); return general_lossless(view, free, lo, hi); } -ProgramFlow lossy(const Graph& g, const ForwardingView& view, const FreeFn& free, std::span injections) { - (void)g; - if (injections.size() != view.num_heads()) throw std::logic_error("forwarding: the injections are not head-aligned"); +ProgramFlow lossy(const Graph& graph, const ForwardingView& view, const AvailableCapacityFn& free, std::span injections) { + (void)graph; + if (injections.size() != view.num_sources()) throw std::logic_error("forwarding: the injections are not head-aligned"); #if NETGRAPH_CORE_PRIVATE_HOOKS thread_lossy_counters().groups = 0; thread_lossy_counters().rounds = 0; #endif if (view.pooled) return pooled_lossy(view, free, injections); - const Net net = build_net(view, free); - Lossy run(view, net); + const ForwardingNetwork net = build_forwarding_network(view, free); + LossyForwardingEvaluator run(view, net); return run.run(injections); } diff --git a/src/forwarding_program.cpp b/src/forwarding_program.cpp new file mode 100644 index 0000000..a45c754 --- /dev/null +++ b/src/forwarding_program.cpp @@ -0,0 +1,559 @@ +/* + ForwardingProgram: the value, from_routes, the programs of the computing models and the + comparison of the change flags. + + Every program keeps its entries in ascending index, per roster slot its entries, its split + contexts (one plan each; a ShortestPaths program's is pooled over its roster) and its replay basis. + Nothing in a program changes after construction; policies share it by reference. +*/ +#include "netgraph/core/forwarding_program.hpp" + +#include +#include +#include +#include + +#include "netgraph/core/detail/edge_amounts.hpp" +#include "netgraph/core/detail/endpoints.hpp" +#include "netgraph/core/detail/enum_domain.hpp" +#include "netgraph/core/detail/program_data.hpp" +#include "netgraph/core/detail/route_builders.hpp" + +namespace netgraph::core { + +ForwardingProgram::ForwardingProgram(const detail::ProgramData* data) noexcept : data_(data) {} +ForwardingProgram::~ForwardingProgram() = default; + +std::uint64_t ForwardingProgram::graph_uid() const noexcept { return data_->graph_uid; } +std::span ForwardingProgram::sources() const noexcept { return data_->sources; } +std::span ForwardingProgram::destinations() const noexcept { return data_->destinations; } +std::span ForwardingProgram::tunnels() const noexcept { return data_->tunnels; } +const std::optional>>& ForwardingProgram::source_weights() const noexcept { + return data_->source_weights; +} + +namespace detail { + +namespace { + +[[noreturn]] void invalid(const std::string& what) { throw std::invalid_argument(what); } + +std::string route_at(std::size_t i) { return "routes[" + std::to_string(i) + "]: "; } + +} // namespace + +void ProgramData::initialize_storage(std::span source, std::span destination, + std::optional> given, std::span xn, + std::span xe) { + const std::size_t n = entries.size(); + const std::size_t room = given.has_value() ? given->size() : n; // the roster's room + const std::size_t lists = pools_source_inflows ? 0 : room + 2 + n; // source_entry_offsets (counting sort) + source_entry_positions + std::size_t roots = 0; + for (const auto& c : split_contexts) roots += c.prepared_route->sources.size(); + // The block, in this order: sources, destinations, roster, excluded nodes and edges, the per-slot + // lists, the per-tunnel entries, the contexts' root entries. + std::vector store(source.size() + destination.size() + room + xn.size() + xe.size() + lists + tunnels.size() + + roots); + std::int32_t* at = store.data(); + auto put = [&at](auto list) { + std::int32_t* first = at; + at = std::copy(list.begin(), list.end(), at); + return first; + }; + NodeId* s0 = put(source); + NodeId* d0 = put(destination); + NodeId* r0 = at; + std::size_t k = 0; + if (given.has_value()) { + put(*given); + k = given->size(); + } else { + for (const auto& entry : entries) *at++ = entry.head; + std::sort(r0, at); + k = static_cast(std::unique(r0, at) - r0); + at = r0 + room; + } + NodeId* xn0 = put(xn); + EdgeId* xe0 = put(xe); + std::int32_t* first = at; + std::int32_t* order = first + (pools_source_inflows ? 0 : room + 2); + std::int32_t* by_tunnel = first + lists; + const std::span ros(r0, k); + for (auto& entry : entries) { + entry.roster_index = static_cast(std::lower_bound(ros.begin(), ros.end(), entry.head) - ros.begin()); + } + if (pools_source_inflows) { + // A pooled program's slots carry one entry each (entries_of): no lists, local index 0. + for (auto& entry : entries) entry.local_index = 0; + } else { + // A stable counting sort by slot: counted at slot + 2, summed, placed through slot + 1 (which + // then holds the slot's end, the next slot's start); ascending index within a slot. + for (const auto& entry : entries) ++first[static_cast(entry.roster_index) + 2]; + for (std::size_t x = 2; x < k + 2; ++x) first[x] += first[x - 1]; + for (std::size_t e = 0; e < n; ++e) order[first[static_cast(entries[e].roster_index) + 1]++] = static_cast(e); + for (std::size_t x = 0; x < k; ++x) { + for (auto j = first[x]; j < first[x + 1]; ++j) { + auto& entry = entries[static_cast(order[j])]; + entry.local_index = j - first[x]; + if (entry.tunnel_position >= 0) tunnels[static_cast(entry.tunnel_position)].local_index = entry.local_index; + } + } + } + std::fill(by_tunnel, by_tunnel + tunnels.size() + roots, -1); + for (std::size_t e = 0; e < n; ++e) { + if (entries[e].tunnel_position >= 0) by_tunnel[entries[e].tunnel_position] = static_cast(e); + } + // Each context's root entries: the entry of that context whose head is the root (a ShortestPaths + // plan's roots are its roster, each with its entry; a supplied split route's is its head). + std::int32_t* root0 = by_tunnel + tunnels.size(); + for (std::size_t c = 0, at_root = 0; c < split_contexts.size(); ++c) { + split_contexts[c].source_entry_positions = {root0 + at_root, split_contexts[c].prepared_route->sources.size()}; + at_root += split_contexts[c].prepared_route->sources.size(); + } + for (std::size_t e = 0; e < n; ++e) { + const auto c = entries[e].split_context_position; + if (c < 0) continue; + const auto& ctx = split_contexts[static_cast(c)]; + const auto& plan_roots = ctx.prepared_route->sources; + const auto r = std::lower_bound(plan_roots.begin(), plan_roots.end(), entries[e].head) - plan_roots.begin(); + root0[(ctx.source_entry_positions.data() - root0) + r] = static_cast(e); + } + // The views, into the block now owned (a vector's move keeps its elements where they are). + store_ = std::move(store); + sources = {s0, source.size()}; + destinations = {d0, destination.size()}; + reachable_sources = ros; + excluded_nodes = {xn0, xn.size()}; + excluded_edges = {xe0, xe.size()}; + source_entry_offsets = pools_source_inflows ? std::span {} : std::span(first, k + 1); + source_entry_positions = pools_source_inflows ? std::span {} : std::span(order, n); + tunnel_entry_positions = {by_tunnel, tunnels.size()}; +} + +std::shared_ptr ProgramAccess::make(ProgramData&& data) { + auto block = std::make_shared(std::move(data)); + return {block, &block->program}; +} + +void check_route_options(const char* function, bool any_dag, std::optional allocation, + std::optional weight_basis, bool edge_weights, bool residual) { + if (!any_dag) { + if (allocation.has_value()) invalid("allocation applies only to PredecessorDAG routes"); + if (weight_basis.has_value()) invalid("weight_basis applies only to PredecessorDAG routes"); + if (edge_weights) invalid("edge_weights applies only to PredecessorDAG routes"); + if (residual) invalid("residual applies only to PredecessorDAG routes"); + return; + } + if (allocation.has_value()) check_member(*allocation, "allocation"); + if (weight_basis.has_value()) check_member(*weight_basis, "weight_basis"); + if (allocation == RouteAllocation::Optimized) invalid(std::string(function) + " allocation must be EQUAL or WEIGHTED"); + const bool weighted = allocation == RouteAllocation::Weighted; + if (weight_basis.has_value() && !weighted) invalid("weight_basis requires allocation=WEIGHTED"); + if (weight_basis == WeightBasis::Explicit && !edge_weights) invalid("weight_basis=EXPLICIT requires edge_weights"); + if (edge_weights && weight_basis != WeightBasis::Explicit) invalid("edge_weights require weight_basis=EXPLICIT"); + if (weight_basis == WeightBasis::ResidualSnapshot && !residual) invalid("weight_basis=RESIDUAL_SNAPSHOT requires residual"); + if (residual && weight_basis != WeightBasis::ResidualSnapshot) invalid("residual requires weight_basis=RESIDUAL_SNAPSHOT"); +} + +// ---------------------------------------------------------------- the models' programs + +std::shared_ptr optimized_flow_program( + const Graph& graph, std::span sources, std::span destinations, + std::span reachable_sources, std::vector paths, std::span supplies, + ReplayBasis basis) { + ProgramData data; + ProgramData* p = &data; + p->graph_uid = graph.uid(); + if (!supplies.empty()) { + p->source_weight_values.assign(supplies.begin(), supplies.end()); + p->source_weights.emplace(); + p->source_weights->reserve(reachable_sources.size()); + for (std::size_t i = 0; i < reachable_sources.size(); ++i) p->source_weights->emplace_back(reachable_sources[i], supplies[i]); + } + const auto cost = graph.edge_costs(); + const auto edge_destinations = graph.edge_destinations(); + p->tunnels.reserve(paths.size()); + p->entries.reserve(paths.size()); + for (std::size_t i = 0; i < paths.size(); ++i) { + auto& path = paths[i]; + Tunnel t; + t.entry_id = static_cast(i); + t.head = reachable_sources[static_cast(path.roster_index)]; + t.destination = edge_destinations[static_cast(path.edges.back())]; + Cost route_cost = 0; + for (EdgeId e : path.edges) route_cost += cost[static_cast(e)]; + t.path_cost = route_cost; + t.weight = path.weight; + ProgramEntry entry; + entry.entry_id = t.entry_id; + entry.head = t.head; + entry.roster_index = path.roster_index; + entry.weight = path.weight; + entry.tunnel_position = static_cast(i); + entry.min_route_cost = route_cost; + t.edges = std::move(path.edges); + p->tunnels.push_back(std::move(t)); + p->entries.push_back(std::move(entry)); + } + p->uses_topology_basis = basis.uses_topology_basis; + p->source_supports = std::move(basis.source_supports); + p->common_replay_support = std::move(basis.common_support); + p->initialize_storage(sources, destinations, reachable_sources, basis.excluded_nodes, basis.excluded_edges); + return ProgramAccess::make(std::move(data)); +} + +std::shared_ptr shortest_path_program( + const Graph& graph, std::span sources, std::span destinations, + std::span reachable_sources, std::shared_ptr plan, std::vector entries) { + ProgramData data; + ProgramData* p = &data; + p->graph_uid = graph.uid(); + SplitContext ctx; + ctx.prepared_route = std::move(plan); + p->entries = std::move(entries); + for (std::size_t i = 0; i < reachable_sources.size(); ++i) { + auto& entry = p->entries[i]; + entry.entry_id = static_cast(i); + entry.head = reachable_sources[i]; + entry.roster_index = static_cast(i); + entry.weight = 1; + entry.split_context_position = 0; + } + p->split_contexts.push_back(std::move(ctx)); + p->pools_source_inflows = true; + p->initialize_storage(sources, destinations, reachable_sources); + return ProgramAccess::make(std::move(data)); +} + +std::shared_ptr pooled_dag_program( + const Graph& graph, std::span sources, std::span destinations, + std::span roster, const PredecessorDAG& dag, RouteAllocation allocation, + const WeightSource& weights, std::vector entries) { + // Equal and Weighted take either admission: the plan is the same for both. + auto plan = std::make_shared( + prepare_route(graph, allocation, Admission::Lossless, weights, roster, destinations, dag)); + return shortest_path_program(graph, sources, destinations, roster, std::move(plan), std::move(entries)); +} + +std::shared_ptr distributed_te_program( + const Graph& g, std::span sources, std::span destinations, + std::span roster, std::vector tunnels, std::span excluded_nodes, + std::span excluded_edges) { + ProgramData data; + ProgramData* p = &data; + p->graph_uid = g.uid(); + const auto edge_destinations = g.edge_destinations(); + const auto H = static_cast(roster.size()); + p->tunnels.reserve(tunnels.size()); + p->entries.reserve(tunnels.size()); + for (std::size_t i = 0; i < tunnels.size(); ++i) { + auto& s = tunnels[i]; + const bool up = s.status == TunnelStatus::Up; + Tunnel t; + t.entry_id = s.local_index * H + s.roster_index; + t.head = roster[static_cast(s.roster_index)]; + t.status = s.status; + t.requested_bandwidth = s.requested_bandwidth; + t.reserved_bandwidth = up ? s.requested_bandwidth : 0; + t.planned_bandwidth = s.planned; + t.weight = up ? 1 : 0; + ProgramEntry entry; + entry.entry_id = t.entry_id; + entry.head = t.head; + entry.roster_index = s.roster_index; + entry.weight = t.weight; + entry.tunnel_position = static_cast(i); + entry.min_route_cost = up ? s.path_cost : kUnreachable; + if (up) { + t.destination = edge_destinations[static_cast(s.edges.back())]; + t.path_cost = s.path_cost; + t.edges = std::move(s.edges); + } + p->tunnels.push_back(std::move(t)); + p->entries.push_back(std::move(entry)); + } + p->uses_topology_basis = true; + p->initialize_storage(sources, destinations, roster, excluded_nodes, excluded_edges); + return ProgramAccess::make(std::move(data)); +} + +std::shared_ptr empty_program(std::uint64_t graph_uid, std::span sources, + std::span destinations, bool captured) { + ProgramData data; + ProgramData* p = &data; + p->graph_uid = graph_uid; + if (captured) p->source_weights.emplace(); + p->initialize_storage(sources, destinations, std::span {}); + return ProgramAccess::make(std::move(data)); +} + +// ---------------------------------------------------------------- the change flags + +namespace { + +bool same_plan_structure(const PreparedRoute& a, const PreparedRoute& b) noexcept { + return a.allocation == b.allocation && a.forwarding_edges == b.forwarding_edges && std::equal(a.sources.begin(), a.sources.end(), b.sources.begin(), b.sources.end()); +} + +} // namespace + +void ProgramData::basis_parts(std::size_t slot, std::vector, bool>>& out) const { + if (common_replay_support) { + out.emplace_back(*common_replay_support, true); + return; + } + if (!source_supports.empty()) { + out.emplace_back(PredecessorDAGBuilder::ascending(*source_supports[slot]), true); + return; + } + for (std::int32_t e : entries_for_source(slot)) { + const auto& entry = entries[static_cast(e)]; + if (entry.tunnel_position >= 0) { + out.emplace_back(path_of(tunnels[static_cast(entry.tunnel_position)]), false); + } else { + out.emplace_back(PredecessorDAGBuilder::ascending(*entry.route), true); + } + } +} + +ProgramChange compare_programs(const ForwardingProgram* before, const ForwardingProgram* after, + bool reservations) noexcept { + static const ProgramData kNone {}; + const ProgramData& a = before != nullptr ? ProgramAccess::data(*before) : kNone; + const ProgramData& b = after != nullptr ? ProgramAccess::data(*after) : kNone; + if (a.entries.empty() && b.entries.empty()) return {}; + ProgramChange out; + // Routes: the ordered heads, each entry's kind and route (a tunnel's path, a split route's + // context), duplicates included (entries are compared one by one). + out.routes = !std::ranges::equal(a.reachable_sources, b.reachable_sources) || a.entries.size() != b.entries.size() || + a.split_contexts.size() != b.split_contexts.size(); + for (std::size_t i = 0; !out.routes && i < a.entries.size(); ++i) { + const auto& x = a.entries[i]; + const auto& y = b.entries[i]; + if (x.entry_id != y.entry_id || x.head != y.head || (x.tunnel_position < 0) != (y.tunnel_position < 0)) { + out.routes = true; + } else if (x.tunnel_position >= 0) { + out.routes = a.tunnels[static_cast(x.tunnel_position)].edges != b.tunnels[static_cast(y.tunnel_position)].edges; + } else { + out.routes = x.split_context_position != y.split_context_position; + } + } + for (std::size_t c = 0; !out.routes && c < a.split_contexts.size(); ++c) { + out.routes = !same_plan_structure(*a.split_contexts[c].prepared_route, *b.split_contexts[c].prepared_route); + } + // Weights: the injection (equal or the captured weights) and every entry and split-table weight, + // an entry absent from one program counting as weight 0 there. + out.weights = a.source_weights.has_value() != b.source_weights.has_value() || a.source_weight_values != b.source_weight_values || + a.split_contexts.size() != b.split_contexts.size(); + const std::size_t n = std::max(a.entries.size(), b.entries.size()); + auto weight = [](const ProgramData& p, std::size_t i) { return i < p.entries.size() ? p.entries[i].weight : Amount {0}; }; + for (std::size_t i = 0; !out.weights && i < n; ++i) out.weights = weight(a, i) != weight(b, i); + for (std::size_t c = 0; !out.weights && c < a.split_contexts.size(); ++c) { + out.weights = a.split_contexts[c].prepared_route->weights != b.split_contexts[c].prepared_route->weights; + } + // Reservations: every tunnel's (requested, reserved) by index (both lists ascend), a tunnel + // absent from one program counting as (0, 0) there (only T1 tunnels have them). + if (!reservations) return out; + auto held = [](const Tunnel& t) { return t.requested_bandwidth != 0 || t.reserved_bandwidth != 0; }; + std::size_t i = 0; + std::size_t j = 0; + while (!out.reservations && (i < a.tunnels.size() || j < b.tunnels.size())) { + const Tunnel* x = i < a.tunnels.size() ? &a.tunnels[i] : nullptr; + const Tunnel* y = j < b.tunnels.size() ? &b.tunnels[j] : nullptr; + if (x != nullptr && (y == nullptr || x->entry_id < y->entry_id)) { + out.reservations = held(*x); + ++i; + } else if (y != nullptr && (x == nullptr || y->entry_id < x->entry_id)) { + out.reservations = held(*y); + ++j; + } else { + out.reservations = x->requested_bandwidth != y->requested_bandwidth || x->reserved_bandwidth != y->reserved_bandwidth; + ++i; + ++j; + } + } + return out; +} + +} // namespace detail + +// ---------------------------------------------------------------- from_routes + +namespace { + +// The last option step of from_routes and from_dag: edge_weights' length and entries, then residual's (the ledger's baseline messages). +void check_route_vectors(const Graph& graph, const RouteOptions& options) { + const auto E = static_cast(graph.num_edges()); + if (options.edge_weights.has_value()) { + const auto& w = *options.edge_weights; + if (w.size() != E) detail::invalid("edge_weights: expected " + std::to_string(E) + " entries"); + for (std::size_t e = 0; e < E; ++e) { + if (w[e] < 0 || w[e] >= kDomainLimit) detail::invalid("edge_weights[" + std::to_string(e) + "] must be an integer in [0, 2^62)"); + } + } + if (options.residual.has_value()) detail::check_edge_amounts(graph, *options.residual, "residual"); +} + +} // namespace + +std::shared_ptr ForwardingProgram::from_routes(const Graph& graph, std::span sources, + std::span destinations, + std::span routes, + const RouteOptions& options) { + using detail::invalid; + using detail::route_at; + // 1. The endpoint sets. + auto src = detail::node_set(sources, graph.num_nodes(), "sources"); + auto dst = detail::node_set(destinations, graph.num_nodes(), "destinations"); + detail::check_disjoint(src, dst, "sources", "destinations"); + // 2. The list. + if (routes.empty()) invalid("routes must not be empty"); + // 3 to 5. The options. + bool any_dag = false; + for (const auto& r : routes) any_dag = any_dag || std::holds_alternative>(r.route); + detail::check_route_options("from_routes", any_dag, options.allocation, options.weight_basis, + options.edge_weights.has_value(), options.residual.has_value()); + // 6. The vectors' lengths and entries. + check_route_vectors(graph, options); + // 7. Each route in list order, its entry made as soon as it is checked (a later route's failure + // discards the program being made). The roster is the sources with a route. + const auto edge_destinations = graph.edge_destinations(); + const RouteAllocation allocation = options.allocation.value_or(RouteAllocation::Equal); + const WeightBasis basis = options.weight_basis.value_or(WeightBasis::Capacity); + // Weighted reads its weights per edge: the explicit weights or the residual snapshot. + std::span edge_values; + if (allocation == RouteAllocation::Weighted && basis == WeightBasis::Explicit) edge_values = *options.edge_weights; + if (allocation == RouteAllocation::Weighted && basis == WeightBasis::ResidualSnapshot) edge_values = *options.residual; + detail::ProgramData data; + detail::ProgramData* p = &data; + p->graph_uid = graph.uid(); + std::size_t num_dags = 0; + for (const auto& r : routes) num_dags += std::holds_alternative>(r.route) ? 1 : 0; + p->entries.reserve(routes.size()); + p->split_contexts.reserve(num_dags); + p->tunnels.reserve(routes.size() - num_dags); + // The destination flags, made for the first Path (a tunnel's end and its earlier hops). + std::vector is_dst; + for (std::size_t i = 0; i < routes.size(); ++i) { + const auto& r = routes[i]; + const auto* path = std::get_if>(&r.route); + const auto* dag = std::get_if>(&r.route); + if ((path != nullptr && !*path) || (dag != nullptr && !*dag)) invalid(route_at(i) + "route is null"); + const std::uint64_t uid = path != nullptr ? (*path)->graph_uid() : (*dag)->graph_uid(); + if (uid != graph.uid()) invalid(route_at(i) + "route belongs to another graph"); + if (!std::binary_search(src.begin(), src.end(), r.head)) { + invalid(route_at(i) + "head " + std::to_string(r.head) + " is not a source"); + } + detail::ProgramEntry entry; + entry.entry_id = static_cast(i); + entry.head = r.head; + entry.weight = r.weight; + if (path != nullptr) { + if (is_dst.empty()) { + is_dst.assign(static_cast(graph.num_nodes()), 0); + for (NodeId d : dst) is_dst[static_cast(d)] = 1; + } + const auto& hops = (*path)->hops(); + for (const auto& hop : hops) { + if (hop.size() != 1) invalid(route_at(i) + "a tunnel has one edge per hop"); + } + if ((*path)->source() != r.head) { + invalid(route_at(i) + "the path starts at " + std::to_string((*path)->source()) + ", not at head " + std::to_string(r.head)); + } + if (is_dst[static_cast((*path)->destination())] == 0) { + invalid(route_at(i) + "the path ends at " + std::to_string((*path)->destination()) + ", not at a destination"); + } + for (std::size_t h = 0; h + 1 < hops.size(); ++h) { + const NodeId v = edge_destinations[static_cast(hops[h].front())]; + if (is_dst[static_cast(v)] != 0) { + invalid(route_at(i) + "the path meets destination " + std::to_string(v) + " before its end"); + } + } + if (r.weight < 0 || r.weight >= kDomainLimit) invalid(route_at(i) + "weight must be an integer in [0, 2^62)"); + Tunnel t; + t.entry_id = entry.entry_id; + t.head = r.head; + t.destination = (*path)->destination(); + t.path_cost = (*path)->cost(); + t.weight = r.weight; + auto& edges = t.edges.emplace(); + edges.reserve(hops.size()); + for (const auto& hop : hops) edges.push_back(hop.front()); + entry.tunnel_position = static_cast(p->tunnels.size()); + entry.min_route_cost = (*path)->cost(); + p->tunnels.push_back(std::move(t)); + } else { + // The plan in one pass: its route (the DAG's edges on the walks from the head to a + // destination, before any weight pruning: the walk check) and the route's cost. + Cost cost = kUnreachable; + auto plan = detail::prepare_supplied_route(graph, allocation, basis, edge_values, r.head, dst, **dag, &cost); + if (plan.support_edges.empty()) invalid(route_at(i) + "no walk from head " + std::to_string(r.head) + " to a destination"); + if (r.weight < 0 || r.weight >= kDomainLimit) invalid(route_at(i) + "weight must be an integer in [0, 2^62)"); + // Its own split context; the record route is the supplied DAG itself when nothing was + // pruned (shared, never copied). + const auto route_dag = plan.support_edges.size() == detail::PredecessorDAGBuilder::ascending(**dag).size() + ? *dag + : std::make_shared(detail::PredecessorDAGBuilder::of_edges(graph, plan.support_edges)); + detail::SplitContext ctx; + ctx.prepared_route = std::make_shared(std::move(plan)); + entry.split_context_position = static_cast(p->split_contexts.size()); + entry.route = route_dag; + entry.min_route_cost = cost; + p->split_contexts.push_back(std::move(ctx)); + } + p->entries.push_back(std::move(entry)); + } + // One split route of positive weight forwards in its pooled form (its plan's kernels). The + // roster: the heads with a route. + p->pools_source_inflows = p->entries.size() == 1 && p->tunnels.empty() && p->entries.front().weight > 0; + p->initialize_storage(src, dst, std::nullopt); + return detail::ProgramAccess::make(std::move(data)); +} + +std::shared_ptr ForwardingProgram::from_dag(const Graph& graph, std::span sources, + std::span destinations, + const std::shared_ptr& dag, + const RouteOptions& options) { + auto src = detail::node_set(sources, graph.num_nodes(), "sources"); + auto dst = detail::node_set(destinations, graph.num_nodes(), "destinations"); + detail::check_disjoint(src, dst, "sources", "destinations"); + if (!dag || dag->graph_uid() != graph.uid()) detail::invalid("dag belongs to another graph"); + detail::check_route_options("from_dag", true, options.allocation, options.weight_basis, options.edge_weights.has_value(), + options.residual.has_value()); + check_route_vectors(graph, options); + // The roster: the sources with a walk to a destination in the DAG (trimmed at the first + // destinations), each with its own walks as its record route and replay basis. + std::vector roster; + std::vector entries; + std::vector all; + for (NodeId s : src) { + auto part = detail::prune(graph, *dag, s, dst, nullptr); + if (part.empty()) continue; + roster.push_back(s); + detail::ProgramEntry entry; + entry.route = std::make_shared(detail::PredecessorDAGBuilder::of_edges(graph, part)); + entry.min_route_cost = detail::min_route_cost(graph, *entry.route, s, dst); + entries.push_back(std::move(entry)); + all.insert(all.end(), part.begin(), part.end()); + } + if (roster.empty()) return detail::empty_program(graph.uid(), src, dst, false); + std::sort(all.begin(), all.end()); + all.erase(std::unique(all.begin(), all.end()), all.end()); + const auto supplied = detail::PredecessorDAGBuilder::ascending(*dag); + const auto pooled = std::equal(all.begin(), all.end(), supplied.begin(), supplied.end()) + ? dag + : std::make_shared(detail::PredecessorDAGBuilder::of_edges(graph, all)); + // Weighted's weights: Explicit edge-aligned; the snapshot aligned with the pooled DAG's edges. + const RouteAllocation allocation = options.allocation.value_or(RouteAllocation::Equal); + detail::WeightSource weights {options.weight_basis.value_or(WeightBasis::Capacity), {}}; + std::vector snapshot; + if (allocation == RouteAllocation::Weighted && weights.basis == WeightBasis::Explicit) weights.values = *options.edge_weights; + if (allocation == RouteAllocation::Weighted && weights.basis == WeightBasis::ResidualSnapshot) { + snapshot.reserve(all.size()); + for (EdgeId e : all) snapshot.push_back((*options.residual)[static_cast(e)]); + weights.values = snapshot; + } + return detail::pooled_dag_program(graph, src, dst, roster, *pooled, allocation, weights, std::move(entries)); +} + +} // namespace netgraph::core diff --git a/src/graph.cpp b/src/graph.cpp index 4e1bff1..a212bf7 100644 --- a/src/graph.cpp +++ b/src/graph.cpp @@ -4,14 +4,14 @@ Validate inputs in the documented order, then build edge ids and CSR arrays. N is the node count, E the edge count, and K the number of distinct costs. Stable counting passes group by a small integer key while preserving order within each group. A cost's rank is its position - among sorted distinct costs. EdgeIds sort by (src, cost, dst, input); u's out-edges occupy - [row_offsets[u], row_offsets[u + 1]); v's in-edges sort by (cost, src, input). + among sorted distinct costs. EdgeIds sort by (source, cost, destination, input); u's out-edges occupy + [outgoing_offsets[u], outgoing_offsets[u + 1]); v's in-edges sort by (cost, source, input). An edgeless graph is its validation and two zero-filled offset arrays. - * N K >= E: three passes (dst, cost rank, src; least significant first) give the id order, and - two over the ids (cost rank, then dst) the reverse lists: within one (dst, cost) group the - id order is (src, input). - * N K < E (combined keys): a pass by dst, then one by (src, rank), give the id order, and one - pass over the ids by (dst, rank) the reverse lists; the two (N K + 1)-entry histograms live + * N K >= E: three passes (destination, cost rank, source; least significant first) give the id order, and + two over the ids (cost rank, then destination) the reverse lists: within one (destination, cost) group the + id order is (source, input). + * N K < E (combined keys): a pass by destination, then one by (source, rank), give the id order, and one + pass over the ids by (destination, rank) the reverse lists; the two (N K + 1)-entry histograms live in the not-yet-filled capacity and cost arrays. The offset arrays serve as their own cursors; a pass that advances them is followed by one that walks back, so no pass over the nodes restores them. @@ -108,7 +108,7 @@ constexpr std::size_t kNoSlot = ~std::size_t {0}; // The distinct-cost table: key 0 marks an empty slot (costs are >= 1 after validation). struct CostTable { std::span key; - std::span ord; // the key's first-appearance ordinal + std::span ordinals; // the key's first-appearance ordinal std::size_t mask {0}; // The slot holding c, or the empty slot where c belongs; kNoSlot when the budget refuses a @@ -127,30 +127,30 @@ struct CostTable { // each), so the table allocates nothing and leaves no freed block behind (a freed block the // allocator keeps cached would count in the process's resident peak); only a table larger than E // slots gets vectors of its own. A new table is empty: growth rebuilds it from the distinct costs. -struct TableStore { - std::span key_room; - std::span ord_room; - std::vector key_own {}; - std::vector ord_own {}; +struct CostTableStorage { + std::span borrowed_keys; + std::span borrowed_ordinals; + std::vector owned_keys {}; + std::vector owned_ordinals {}; CostTable make(std::size_t slots) { - if (slots <= key_room.size()) { - const std::span key = key_room.first(slots); + if (slots <= borrowed_keys.size()) { + const std::span key = borrowed_keys.first(slots); std::fill(key.begin(), key.end(), Cost {0}); - return {key, ord_room.first(slots), slots - 1}; + return {key, borrowed_ordinals.first(slots), slots - 1}; } - key_own.assign(slots, 0); - ord_own.resize(slots); - return {key_own, ord_own, slots - 1}; + owned_keys.assign(slots, 0); + owned_ordinals.resize(slots); + return {owned_keys, owned_ordinals, slots - 1}; } }; // The retained arrays the hash path borrows before they are filled (each E entries, K <= E). -struct HashRooms { +struct CostRankBuffers { std::span keys; // the table's keys while it has at most E slots - std::span ords; // the table's ordinals, the same + std::span ordinals; // the table's ordinals, the same std::span distinct; // the distinct costs in first-appearance order - std::span a, b, c; // the rank step: ordinal -> rank, and its two position arrays + std::span ordinal_to_rank, sort_positions, sort_scratch; // the rank step: ordinal -> rank, and its two position arrays }; enum class RankPath { Hashed, DistinctLimit, ExhaustedCollection, ExhaustedGrowth }; @@ -172,13 +172,13 @@ struct RankOutcome { // collection of positive costs keeps at least one, and the fallback sort of all costs runs only // after hashing failed, which needs an edge. template -std::int64_t ranks_by_sort(std::span cost, Cost max_cost, std::span rank, +std::int64_t ranks_by_sort(std::span cost, Cost max_edge_cost, std::span rank, std::span a, std::span b, std::span count) { const std::size_t m = cost.size(); constexpr std::uint64_t kMask = (std::uint64_t {1} << kBits) - 1; std::iota(a.begin(), a.end(), 0); - const auto top = static_cast(max_cost); + const auto top = static_cast(max_edge_cost); for (int shift = 0; shift < 64 && (top >> shift) != 0; shift += kBits) { auto digit = [&](std::int32_t i) { const auto c = static_cast(cost[static_cast(i)]); @@ -210,7 +210,7 @@ std::int64_t ranks_by_sort(std::span cost, Cost max_cost, std::span< // its own, freed on return. Growth rebuilds the bigger table from the distinct costs in their // order, counting every probe. Any path other than Hashed leaves `rank` partly written for the // caller to overwrite. -RankOutcome ranks_by_hash(std::span cost, std::span rank, const HashRooms& room) { +RankOutcome ranks_by_hash(std::span cost, std::span rank, const CostRankBuffers& room) { const std::size_t m = cost.size(); RankOutcome out; ProbeBudget b {0, 8 * static_cast(m) + 8 * kMaxHashedCosts}; @@ -218,7 +218,7 @@ RankOutcome ranks_by_hash(std::span cost, std::span ra if (m == 0) return out; // no cost, no table std::size_t k = 0; // the distinct costs so far: room.distinct[0, k) { - TableStore store {room.keys, room.ords}; + CostTableStorage store {room.keys, room.ordinals}; CostTable t = store.make(64); auto stop = [&](RankPath path) { out.path = path; @@ -244,28 +244,28 @@ RankOutcome ranks_by_hash(std::span cost, std::span ra const std::size_t d = t.find(room.distinct[j], b); if (d == kNoSlot) return stop(RankPath::ExhaustedGrowth); t.key[d] = room.distinct[j]; - t.ord[d] = static_cast(j); + t.ordinals[d] = static_cast(j); } s = t.find(c, b); if (s == kNoSlot) return stop(RankPath::ExhaustedGrowth); } t.key[s] = c; - t.ord[s] = static_cast(k); + t.ordinals[s] = static_cast(k); room.distinct[k++] = c; } - rank[i] = t.ord[s]; + rank[i] = t.ordinals[s]; prev = c; - prev_ord = t.ord[s]; + prev_ord = t.ordinals[s]; } out.table_slots = static_cast(t.key.size()); } out.probes = b.used; // Ordinal -> rank without the table: a radix sort of the K distinct costs. const std::span by_ord = room.distinct.first(k); - const std::span rank_of_ord = room.a.first(k); + const std::span rank_of_ord = room.ordinal_to_rank.first(k); std::array count {}; - ranks_by_sort<8>(by_ord, *std::max_element(by_ord.begin(), by_ord.end()), rank_of_ord, room.b.first(k), - room.c.first(k), count); + ranks_by_sort<8>(by_ord, *std::max_element(by_ord.begin(), by_ord.end()), rank_of_ord, room.sort_positions.first(k), + room.sort_scratch.first(k), count); for (std::size_t i = 0; i < m; ++i) rank[i] = rank_of_ord[static_cast(rank[i])]; out.distinct = static_cast(k); return out; @@ -338,17 +338,17 @@ double as_float(Amount x, double resolution) { } Graph::Graph(std::int32_t num_nodes, - std::span src, - std::span dst, - std::span capacity_units, - std::span cost, + std::span edge_sources, + std::span edge_destinations, + std::span edge_capacity_units, + std::span edge_costs, double resolution) { (void)resolution_exponent(resolution); // The unit values. - for (std::size_t i = 0; i < capacity_units.size(); ++i) { - const Amount c = capacity_units[i]; + for (std::size_t i = 0; i < edge_capacity_units.size(); ++i) { + const Amount c = edge_capacity_units[i]; if (c < 0 || c >= kDomainLimit) { - throw std::invalid_argument("capacity_units[" + std::to_string(i) + "] = " + std::to_string(c) + + throw std::invalid_argument("edge_capacity_units[" + std::to_string(i) + "] = " + std::to_string(c) + " is outside the units domain [0, 2^62)"); } } @@ -356,33 +356,33 @@ Graph::Graph(std::int32_t num_nodes, if (num_nodes < 0) { throw std::invalid_argument("num_nodes must be >= 0 (got " + std::to_string(num_nodes) + ")"); } - const std::size_t m = src.size(); - if (dst.size() != m || capacity_units.size() != m || cost.size() != m) { - throw std::invalid_argument("src, dst, capacity_units and cost must have the same length (got " + - std::to_string(src.size()) + ", " + std::to_string(dst.size()) + ", " + - std::to_string(capacity_units.size()) + ", " + - std::to_string(cost.size()) + ")"); + const std::size_t m = edge_sources.size(); + if (edge_destinations.size() != m || edge_capacity_units.size() != m || edge_costs.size() != m) { + throw std::invalid_argument("edge_sources, edge_destinations, edge_capacity_units and edge_costs must have the same length (got " + + std::to_string(edge_sources.size()) + ", " + std::to_string(edge_destinations.size()) + ", " + + std::to_string(edge_capacity_units.size()) + ", " + + std::to_string(edge_costs.size()) + ")"); } if (m > static_cast(std::numeric_limits::max())) { throw std::invalid_argument("the number of edges exceeds INT32_MAX (array length)"); } // Zero or negative costs (costs are positive). - Cost max_cost = 0; - Cost cost_gcd = 0; + Cost max_edge_cost = 0; + Cost edge_cost_gcd = 0; for (std::size_t i = 0; i < m; ++i) { - if (cost[i] < 1) { - throw std::invalid_argument("cost[" + std::to_string(i) + "] = " + std::to_string(cost[i]) + - ": costs must be positive (cost >= 1)"); + if (edge_costs[i] < 1) { + throw std::invalid_argument("edge_costs[" + std::to_string(i) + "] = " + std::to_string(edge_costs[i]) + + ": costs must be positive (edge_costs >= 1)"); } - max_cost = std::max(max_cost, cost[i]); + max_edge_cost = std::max(max_edge_cost, edge_costs[i]); // A running GCD of 1 stays 1 (gcd(1, c) = 1): the remaining edges are only checked. - if (cost_gcd != 1) cost_gcd = std::gcd(cost_gcd, cost[i]); + if (edge_cost_gcd != 1) edge_cost_gcd = std::gcd(edge_cost_gcd, edge_costs[i]); } // The remaining bounds. for (std::size_t i = 0; i < m; ++i) { - if (src[i] < 0 || src[i] >= num_nodes || dst[i] < 0 || dst[i] >= num_nodes) { - throw std::invalid_argument("edge " + std::to_string(i) + ": endpoint (" + std::to_string(src[i]) + - ", " + std::to_string(dst[i]) + ") out of node range [0, " + + if (edge_sources[i] < 0 || edge_sources[i] >= num_nodes || edge_destinations[i] < 0 || edge_destinations[i] >= num_nodes) { + throw std::invalid_argument("edge " + std::to_string(i) + ": endpoint (" + std::to_string(edge_sources[i]) + + ", " + std::to_string(edge_destinations[i]) + ") out of node range [0, " + std::to_string(num_nodes) + ")"); } } @@ -390,11 +390,11 @@ Graph::Graph(std::int32_t num_nodes, std::uint64_t cap_sum = 0; std::uint64_t cost_sum = 0; for (std::size_t i = 0; i < m; ++i) { - cap_sum += static_cast(capacity_units[i]); // each < 2^62: no wrap before the check + cap_sum += static_cast(edge_capacity_units[i]); // each < 2^62: no wrap before the check if (cap_sum >= kLimit) { throw std::invalid_argument("the sum of all capacities reaches the bound of the units domain (2^62 units)"); } - cost_sum += static_cast(cost[i]); + cost_sum += static_cast(edge_costs[i]); if (cost_sum >= kLimit) { throw std::invalid_argument( "the sum of all edge costs reaches the bound 2^62: path costs would overflow int64"); @@ -404,35 +404,35 @@ Graph::Graph(std::int32_t num_nodes, uid_ = next_uid(); resolution_ = resolution; num_nodes_ = num_nodes; - max_cost_ = max_cost; - cost_gcd_ = cost_gcd; + max_edge_cost_ = max_edge_cost; + edge_cost_gcd_ = edge_cost_gcd; const auto n = static_cast(num_nodes); // Every retained array first (36 E + 8 (N + 1) bytes); until it is filled, each serves as // scratch. The cost ranks go into the copy's array (by input position); the hash table, the // distinct costs and the rank step borrow the others, so the hash path allocates nothing of its // own while the table has at most E slots (no freed block stays behind in the allocator's cache). - capacity_.resize(m); - cost_.resize(m); - src_.resize(m); - dst_.resize(m); - input_index_.resize(m); - in_adj_edge_index_.resize(m); - in_col_indices_.resize(m); - row_offsets_.assign(n + 1, 0); - in_row_offsets_.assign(n + 1, 0); - const std::span rank(in_col_indices_); + edge_capacity_units_.resize(m); + edge_costs_.resize(m); + edge_sources_.resize(m); + edge_destinations_.resize(m); + input_positions_.resize(m); + incoming_edges_.resize(m); + incoming_edge_sources_.resize(m); + outgoing_offsets_.assign(n + 1, 0); + incoming_offsets_.assign(n + 1, 0); + const std::span rank(incoming_edge_sources_); const RankOutcome ro = - ranks_by_hash(cost, rank, HashRooms {capacity_, src_, cost_, dst_, input_index_, in_adj_edge_index_}); - const std::span order(input_index_); // forward passes 1 and 3 (final) - const std::span mid(in_adj_edge_index_); // forward pass 2 - const std::span bucket(capacity_); // the K rank cursors (K <= E) + ranks_by_hash(edge_costs, rank, CostRankBuffers {edge_capacity_units_, edge_sources_, edge_costs_, edge_destinations_, input_positions_, incoming_edges_}); + const std::span order(input_positions_); // forward passes 1 and 3 (final) + const std::span mid(incoming_edges_); // forward pass 2 + const std::span bucket(edge_capacity_units_); // the K rank cursors (K <= E) // Any other path: the ranks from a sort of all costs (the same ranks). std::int64_t k = ro.distinct; if (ro.path != RankPath::Hashed) { std::vector count(std::size_t {1} << 16); - k = ranks_by_sort<16>(cost, max_cost, rank, input_index_, in_adj_edge_index_, count); + k = ranks_by_sort<16>(edge_costs, max_edge_cost, rank, input_positions_, incoming_edges_, count); } const auto kk = static_cast(k); #if NETGRAPH_CORE_PRIVATE_HOOKS @@ -452,13 +452,13 @@ Graph::Graph(std::int32_t num_nodes, if (m == 0) return; // The passes. With few nodes times few costs (N K < E), the cost rank rides with an endpoint as - // one key: forward by dst, then by (src, rank); reverse by (dst, rank) over the ids. - // Otherwise the five single-key passes: forward by dst, rank, src; reverse by rank, then dst. + // one key: forward by destination, then by (source, rank); reverse by (destination, rank) over the ids. + // Otherwise the five single-key passes: forward by destination, rank, source; reverse by rank, then destination. // Both give the same orders. The combined-key passes keep their two (N K + 1)-entry histograms // in the not-yet-filled capacity and cost arrays (N K + 1 <= E), so their work is O(E). const bool fused = n * kk < m; - const std::span by_dst_rank(capacity_); // fused: (dst, rank) histogram, then cursors - const std::span by_src_rank(cost_); // fused: (src, rank) histogram, then cursors + const std::span by_dst_rank(edge_capacity_units_); // fused: (destination, rank) histogram, then cursors + const std::span by_src_rank(edge_costs_); // fused: (source, rank) histogram, then cursors if (fused) { #if NETGRAPH_CORE_PRIVATE_HOOKS ++detail::thread_construction_counts().fused; @@ -467,47 +467,47 @@ Graph::Graph(std::int32_t num_nodes, std::fill(by_dst_rank.begin(), by_dst_rank.begin() + static_cast(nk + 1), 0); std::fill(by_src_rank.begin(), by_src_rank.begin() + static_cast(nk + 1), 0); // Keep the counter updates in separate loops for speed. - for (std::size_t i = 0; i < m; ++i) ++by_dst_rank[static_cast(dst[i]) * kk + static_cast(rank[i]) + 1]; - for (std::size_t i = 0; i < m; ++i) ++by_src_rank[static_cast(src[i]) * kk + static_cast(rank[i]) + 1]; + for (std::size_t i = 0; i < m; ++i) ++by_dst_rank[static_cast(edge_destinations[i]) * kk + static_cast(rank[i]) + 1]; + for (std::size_t i = 0; i < m; ++i) ++by_src_rank[static_cast(edge_sources[i]) * kk + static_cast(rank[i]) + 1]; for (std::size_t x = 0, sum = 0; x <= nk; ++x) sum = static_cast(by_dst_rank[x] += static_cast(sum)); for (std::size_t x = 0, sum = 0; x <= nk; ++x) sum = static_cast(by_src_rank[x] += static_cast(sum)); for (std::size_t v = 0; v < n; ++v) { - in_row_offsets_[v] = static_cast(by_dst_rank[(v + 1) * kk]); // ends: pass 1's cursors - row_offsets_[v] = static_cast(by_src_rank[v * kk]); + incoming_offsets_[v] = static_cast(by_dst_rank[(v + 1) * kk]); // ends: pass 1's cursors + outgoing_offsets_[v] = static_cast(by_src_rank[v * kk]); } - in_row_offsets_[n] = row_offsets_[n] = static_cast(m); + incoming_offsets_[n] = outgoing_offsets_[n] = static_cast(m); } else { - for (std::size_t i = 0; i < m; ++i) ++in_row_offsets_[static_cast(dst[i]) + 1]; - counts_to_starts(std::span(in_row_offsets_)); + for (std::size_t i = 0; i < m; ++i) ++incoming_offsets_[static_cast(edge_destinations[i]) + 1]; + counts_to_starts(std::span(incoming_offsets_)); } - // Forward pass 1, by dst, from input order. The reverse offsets serve as cursors, so no pass + // Forward pass 1, by destination, from input order. The reverse offsets serve as cursors, so no pass // over the nodes restores them: the combined-key passes walk the input backwards from the ends // to the starts; the single-key passes walk it forwards from the starts to the ends, and // reverse pass 2 walks back. if (fused) { for (std::size_t i = m; i-- > 0;) { - order[static_cast(--in_row_offsets_[static_cast(dst[i])])] = static_cast(i); + order[static_cast(--incoming_offsets_[static_cast(edge_destinations[i])])] = static_cast(i); } } else { for (std::size_t i = 0; i < m; ++i) { - order[static_cast(in_row_offsets_[static_cast(dst[i])]++)] = static_cast(i); + order[static_cast(incoming_offsets_[static_cast(edge_destinations[i])]++)] = static_cast(i); } } if (fused) { - // Forward pass 2, by (src, rank), into `mid`: the final id order; the two arrays trade places. + // Forward pass 2, by (source, rank), into `mid`: the final id order; the two arrays trade places. for (std::size_t j = 0; j < m; ++j) { const auto i = static_cast(order[j]); - const std::size_t key = static_cast(src[i]) * kk + static_cast(rank[i]); + const std::size_t key = static_cast(edge_sources[i]) * kk + static_cast(rank[i]); mid[static_cast(by_src_rank[key]++)] = static_cast(i); } - input_index_.swap(in_adj_edge_index_); - // Reverse, the ids by (dst, rank): within a key the id order gives (src, input). + input_positions_.swap(incoming_edges_); + // Reverse, the ids by (destination, rank): within a key the id order gives (source, input). for (std::size_t e = 0; e < m; ++e) { - const auto i = static_cast(input_index_[e]); - const std::size_t key = static_cast(dst[i]) * kk + static_cast(rank[i]); - in_adj_edge_index_[static_cast(by_dst_rank[key]++)] = static_cast(e); + const auto i = static_cast(input_positions_[e]); + const std::size_t key = static_cast(edge_destinations[i]) * kk + static_cast(rank[i]); + incoming_edges_[static_cast(by_dst_rank[key]++)] = static_cast(e); } } else { // Forward pass 2, by cost rank; the cursors stay for reverse pass 1. @@ -524,16 +524,16 @@ Graph::Graph(std::int32_t num_nodes, } ends_to_starts(bucket.first(kk)); - // Forward pass 3, by src; the src histogram is the forward offsets. - for (std::size_t i = 0; i < m; ++i) ++row_offsets_[static_cast(src[i])]; - counts_to_ends(std::span(row_offsets_)); + // Forward pass 3, by source; the source histogram is the forward offsets. + for (std::size_t i = 0; i < m; ++i) ++outgoing_offsets_[static_cast(edge_sources[i])]; + counts_to_ends(std::span(outgoing_offsets_)); for (std::size_t j = m; j-- > 0;) { const auto i = static_cast(mid[j]); - order[static_cast(--row_offsets_[static_cast(src[i])])] = static_cast(i); + order[static_cast(--outgoing_offsets_[static_cast(edge_sources[i])])] = static_cast(i); } - // Reverse pass 1, by cost rank over the ids (the id order is (src, cost, dst, input)). - const std::span by_cost(in_adj_edge_index_); // free again after pass 3 + // Reverse pass 1, by cost rank over the ids (the id order is (source, cost, destination, input)). + const std::span by_cost(incoming_edges_); // free again after pass 3 for (std::size_t e = 0; e < m; ++e) { const auto r = static_cast(rank[static_cast(order[e])]); by_cost[static_cast(bucket[r]++)] = static_cast(e); @@ -542,59 +542,59 @@ Graph::Graph(std::int32_t num_nodes, // The per-edge values, permuted once (the cursors and the ranks are no longer read). for (std::size_t e = 0; e < m; ++e) { - const auto i = static_cast(input_index_[e]); - capacity_[e] = capacity_units[i]; - cost_[e] = cost[i]; - src_[e] = src[i]; - dst_[e] = dst[i]; + const auto i = static_cast(input_positions_[e]); + edge_capacity_units_[e] = edge_capacity_units[i]; + edge_costs_[e] = edge_costs[i]; + edge_sources_[e] = edge_sources[i]; + edge_destinations_[e] = edge_destinations[i]; } if (!fused) { - // Reverse pass 2, by dst, into the ranks' array, walked backwards: the reverse offsets hold + // Reverse pass 2, by destination, into the ranks' array, walked backwards: the reverse offsets hold // the ends after pass 1 and return to the starts. Then the two slot arrays trade places. - const std::span slots(in_col_indices_); - const std::span by_cost(in_adj_edge_index_); + const std::span slots(incoming_edge_sources_); + const std::span by_cost(incoming_edges_); for (std::size_t j = m; j-- > 0;) { const auto e = static_cast(by_cost[j]); - slots[static_cast(--in_row_offsets_[static_cast(dst_[e])])] = static_cast(e); + slots[static_cast(--incoming_offsets_[static_cast(edge_destinations_[e])])] = static_cast(e); } - in_adj_edge_index_.swap(in_col_indices_); + incoming_edges_.swap(incoming_edge_sources_); } // The source copy, over the ranks' (or the free) array. - for (std::size_t s = 0; s < m; ++s) in_col_indices_[s] = src_[static_cast(in_adj_edge_index_[s])]; + for (std::size_t s = 0; s < m; ++s) incoming_edge_sources_[s] = edge_sources_[static_cast(incoming_edges_[s])]; } Graph::Graph(const Graph& other) : uid_(next_uid()), resolution_(other.resolution_), num_nodes_(other.num_nodes_), - max_cost_(other.max_cost_), - cost_gcd_(other.cost_gcd_), - capacity_(other.capacity_), - cost_(other.cost_), - src_(other.src_), - dst_(other.dst_), - input_index_(other.input_index_), - row_offsets_(other.row_offsets_), - in_row_offsets_(other.in_row_offsets_), - in_adj_edge_index_(other.in_adj_edge_index_), - in_col_indices_(other.in_col_indices_) {} + max_edge_cost_(other.max_edge_cost_), + edge_cost_gcd_(other.edge_cost_gcd_), + edge_capacity_units_(other.edge_capacity_units_), + edge_costs_(other.edge_costs_), + edge_sources_(other.edge_sources_), + edge_destinations_(other.edge_destinations_), + input_positions_(other.input_positions_), + outgoing_offsets_(other.outgoing_offsets_), + incoming_offsets_(other.incoming_offsets_), + incoming_edges_(other.incoming_edges_), + incoming_edge_sources_(other.incoming_edge_sources_) {} // No allocation: the source keeps empty vectors, and its offset views read the static zero. Graph::Graph(Graph&& other) noexcept : uid_(std::exchange(other.uid_, 0)), resolution_(other.resolution_), num_nodes_(std::exchange(other.num_nodes_, 0)), - max_cost_(std::exchange(other.max_cost_, 0)), - cost_gcd_(std::exchange(other.cost_gcd_, 0)), - capacity_(std::move(other.capacity_)), - cost_(std::move(other.cost_)), - src_(std::move(other.src_)), - dst_(std::move(other.dst_)), - input_index_(std::move(other.input_index_)), - row_offsets_(std::move(other.row_offsets_)), - in_row_offsets_(std::move(other.in_row_offsets_)), - in_adj_edge_index_(std::move(other.in_adj_edge_index_)), - in_col_indices_(std::move(other.in_col_indices_)) {} + max_edge_cost_(std::exchange(other.max_edge_cost_, 0)), + edge_cost_gcd_(std::exchange(other.edge_cost_gcd_, 0)), + edge_capacity_units_(std::move(other.edge_capacity_units_)), + edge_costs_(std::move(other.edge_costs_)), + edge_sources_(std::move(other.edge_sources_)), + edge_destinations_(std::move(other.edge_destinations_)), + input_positions_(std::move(other.input_positions_)), + outgoing_offsets_(std::move(other.outgoing_offsets_)), + incoming_offsets_(std::move(other.incoming_offsets_)), + incoming_edges_(std::move(other.incoming_edges_)), + incoming_edge_sources_(std::move(other.incoming_edge_sources_)) {} } // namespace netgraph::core diff --git a/src/flow_core.cpp b/src/min_cost_flow.cpp similarity index 65% rename from src/flow_core.cpp rename to src/min_cost_flow.cpp index 13ab835..03b3989 100644 --- a/src/flow_core.cpp +++ b/src/min_cost_flow.cpp @@ -23,7 +23,7 @@ real source and destination sets. A real endpoint's virtual arc comes first; s* visits sources and t* visits destinations by ascending NodeId. Virtual arcs cost 0 and carry 2^63 - 2 units, above every attainable value, unless the solve gives the sources' arcs their own - capacities (the equal origin: source i's arc carries at most its round-robin share). Starting + capacities (the equal source allocation: source i's arc carries at most its round-robin share). Starting from zero flow makes zero potentials valid: usable real arcs have positive costs and virtual arcs cost 0. @@ -38,7 +38,7 @@ origin and target and that all-vertex update before Dinic phases. First move up to f_e from u to v; call the amount moved m. If r = f_e - m > 0, move r from u to s*, then from t* to v. The u -> s* repair reuses the first repair's failed search because nothing has changed. - The result has maximum value placed - r and minimum cost on the view without e. Working + The result has maximum value (the solved value minus r) and minimum cost on the view without e. Working potentials certify its cost; the real sources' full residual closure certifies its value. There are at most m + 2 r Dijkstra runs. @@ -64,7 +64,7 @@ solve from zero, a captured state's re-solves) take their vertex count from it before anything else, so every vertex id, slot and offset fits. */ -#include "netgraph/core/detail/flow_core.hpp" +#include "netgraph/core/detail/min_cost_flow.hpp" #include #include @@ -157,85 +157,85 @@ std::int32_t network_vertices(std::int32_t num_nodes, std::size_t num_edges, std // The residual network of one solve (Network: real vertices 0..N-1, s* = N, t* = N + 1) with // its flow, potentials and scratch; also the working storage of a deletion re-solve. -class FlowSolver { +class MinCostFlowSolver { public: // One reusable instance per thread (`local()`) for the solves from zero: build() resizes every // buffer for the input, keeping capacity across calls, so the solver's own buffers are not // reallocated once warm (each solve still allocates its outputs). Not reentrant (a solve never // starts another). A deletion resolver owns its own. - static FlowSolver& local() { - thread_local FlowSolver solver; + static MinCostFlowSolver& local() { + thread_local MinCostFlowSolver solver; return solver; } - FlowSolver() = default; + MinCostFlowSolver() = default; // Never copied or moved: net_ may point at own_. - FlowSolver(const FlowSolver&) = delete; - FlowSolver& operator=(const FlowSolver&) = delete; + MinCostFlowSolver(const MinCostFlowSolver&) = delete; + MinCostFlowSolver& operator=(const MinCostFlowSolver&) = delete; // The input part of the network (num_nodes, the edges, the endpoint sets) is the caller's to // fill; build() adds the arcs. - Network& network() noexcept { return own_; } + ResidualNetwork& network() noexcept { return owned_network_; } // The arcs of the input, zero flow and zero potentials. `shadow`: record the working // potentials for a capture. void build(bool shadow) { - auto& in = own_; + auto& in = owned_network_; size(in); - net_ = &own_; - const auto n = static_cast(n_); - in.off.assign(n + 1, 0); - auto deg = [&](std::int32_t v) { ++in.off[static_cast(v) + 1]; }; + network_ = &owned_network_; + const auto n = static_cast(num_vertices_); + in.arc_offsets.assign(n + 1, 0); + auto deg = [&](std::int32_t v) { ++in.arc_offsets[static_cast(v) + 1]; }; for (std::size_t k = 0; k < in.edges.size(); ++k) { - deg(in.tail[k]); - deg(in.head[k]); + deg(in.edge_sources[k]); + deg(in.edge_destinations[k]); } - for (std::int32_t s : in.sources) { deg(s); deg(s_); } - for (std::int32_t d : in.destinations) { deg(d); deg(t_); } - for (std::size_t v = 0; v < n; ++v) in.off[v + 1] += in.off[v]; - const auto num_slots = static_cast(in.off[n]); - in.arc_head.resize(num_slots); - in.rev.resize(num_slots); + for (std::int32_t s : in.sources) { deg(s); deg(virtual_source_); } + for (std::int32_t d : in.destinations) { deg(d); deg(virtual_sink_); } + for (std::size_t v = 0; v < n; ++v) in.arc_offsets[v + 1] += in.arc_offsets[v]; + const auto num_slots = static_cast(in.arc_offsets[n]); + in.arc_destinations.resize(num_slots); + in.reverse_arcs.resize(num_slots); in.arc_cost.resize(num_slots); - res_.resize(num_slots); - pos_.assign(in.off.begin(), in.off.end() - 1); - auto take = [&](std::int32_t v) { return pos_[static_cast(v)]++; }; + arc_residual_.resize(num_slots); + arc_fill_positions_.assign(in.arc_offsets.begin(), in.arc_offsets.end() - 1); + auto take = [&](std::int32_t v) { return arc_fill_positions_[static_cast(v)]++; }; auto link = [&](std::int32_t a, std::int32_t to_a, Amount cap, Cost w, std::int32_t b, std::int32_t to_b) { const auto ai = static_cast(a); const auto bi = static_cast(b); - in.arc_head[ai] = to_a; - in.rev[ai] = b; + in.arc_destinations[ai] = to_a; + in.reverse_arcs[ai] = b; in.arc_cost[ai] = w; - res_[ai] = cap; - in.arc_head[bi] = to_b; - in.rev[bi] = a; + arc_residual_[ai] = cap; + in.arc_destinations[bi] = to_b; + in.reverse_arcs[bi] = a; in.arc_cost[bi] = -w; - res_[bi] = 0; + arc_residual_[bi] = 0; }; // Virtual arcs first at the real endpoints, then the real arcs by ascending EdgeId (forward // slot at the tail, reverse slot at the head), then the slots of s* and t*. - in.src_rev.resize(in.sources.size()); - in.dst_fwd.resize(in.destinations.size()); - for (std::size_t i = 0; i < in.sources.size(); ++i) in.src_rev[i] = take(in.sources[i]); - for (std::size_t i = 0; i < in.destinations.size(); ++i) in.dst_fwd[i] = take(in.destinations[i]); - in.edge_slot.resize(in.edges.size()); + in.source_reverse_arcs.resize(in.sources.size()); + in.destination_forward_arcs.resize(in.destinations.size()); + for (std::size_t i = 0; i < in.sources.size(); ++i) in.source_reverse_arcs[i] = take(in.sources[i]); + for (std::size_t i = 0; i < in.destinations.size(); ++i) in.destination_forward_arcs[i] = take(in.destinations[i]); + in.edge_forward_arcs.resize(in.edges.size()); for (std::size_t k = 0; k < in.edges.size(); ++k) { - const std::int32_t u = in.tail[k]; - const std::int32_t v = in.head[k]; + const std::int32_t u = in.edge_sources[k]; + const std::int32_t v = in.edge_destinations[k]; const std::int32_t fwd = take(u); const std::int32_t bwd = take(v); - link(fwd, v, in.cap[k], in.cost[k], bwd, u); - in.edge_slot[k] = fwd; + link(fwd, v, in.edge_capacities[k], in.cost[k], bwd, u); + in.edge_forward_arcs[k] = fwd; } for (std::size_t i = 0; i < in.sources.size(); ++i) { - link(take(s_), in.sources[i], in.src_cap.empty() ? kMaxFlowCap : in.src_cap[i], 0, in.src_rev[i], s_); + link(take(virtual_source_), in.sources[i], in.source_capacities.empty() ? kMaxFlowCap : in.source_capacities[i], 0, in.source_reverse_arcs[i], virtual_source_); } for (std::size_t i = 0; i < in.destinations.size(); ++i) { - link(in.dst_fwd[i], t_, kMaxFlowCap, 0, take(t_), in.destinations[i]); + link(in.destination_forward_arcs[i], virtual_sink_, kMaxFlowCap, 0, take(virtual_sink_), in.destinations[i]); } - pi_.assign(n, 0); - ever_.assign(n, 0); - dist_.resize(n); + potentials_.assign(n, 0); + ever_settled_.assign(n, 0); + distances_.resize(n); shadow_ = shadow; if (shadow) { tier_sum_ = 0; @@ -246,14 +246,14 @@ class FlowSolver { // A captured state's network, read in place by its deletion re-solves (never written; the // caller keeps it alive while this solver uses it). The residual, the potentials and the // scratch stay this solver's own. - void load(const Network& net) { + void load(const ResidualNetwork& net) { size(net); - net_ = &net; - res_.resize(net_->arc_head.size()); - wpi_.resize(static_cast(n_)); - wdist_.resize(static_cast(n_)); - wseen_.assign(static_cast(n_), 0); - wepoch_ = 0; + network_ = &net; + arc_residual_.resize(network_->arc_destinations.size()); + repair_potentials_.resize(static_cast(num_vertices_)); + repair_distances_.resize(static_cast(num_vertices_)); + repair_seen_generations_.assign(static_cast(num_vertices_), 0); + repair_generation_ = 0; } // The solve to the cap or to disconnection. Output in local coordinates: `flows` aligned with @@ -261,12 +261,12 @@ class FlowSolver { // the real sources to its complement, ascending EdgeId) when the destinations are // outside the closure, potentials per local vertex (kNeverReached when never settled). struct Output { - Amount placed {0}; - std::vector> cost_distribution {}; - std::vector flows {}; - std::optional> cut {}; + Amount flow_value {0}; + std::vector> marginal_cost_curve {}; + std::vector edge_flows {}; + std::optional> min_cut_positions {}; std::vector potentials {}; - FlowCoreCounters counters {}; + MinCostFlowCounters counters {}; }; // `closure` adds the cut; `potentials` the per-vertex potentials (the edge-subset entry @@ -275,13 +275,13 @@ class FlowSolver { Output out; auto& c = out.counters; Amount total = 0; - origin_ = s_; - target_ = t_; + search_source_ = virtual_source_; + search_target_ = virtual_sink_; while (total < limit) { const bool reached = dijkstra(c); settle(); if (!reached) break; - const Cost tier_cost = pi_[static_cast(t_)] - pi_[static_cast(s_)]; + const Cost tier_cost = potentials_[static_cast(virtual_sink_)] - potentials_[static_cast(virtual_source_)]; const Amount before = total; total = drain(c, limit, total, [](Amount) {}); // A successful Dijkstra reaches t* over arcs with positive residual and zero reduced cost @@ -289,31 +289,31 @@ class FlowSolver { if (total == before) { throw std::logic_error("flow core: a successful Dijkstra drained nothing"); } - out.cost_distribution.emplace_back(tier_cost, total - before); + out.marginal_cost_curve.emplace_back(tier_cost, total - before); } - out.placed = total; + out.flow_value = total; - out.flows.resize(net_->edges.size()); - for (std::size_t k = 0; k < net_->edges.size(); ++k) out.flows[k] = flow_of(k); - if (closure && close_sources()) out.cut = cut_edges(-1); + out.edge_flows.resize(network_->edges.size()); + for (std::size_t k = 0; k < network_->edges.size(); ++k) out.edge_flows[k] = flow_of(k); + if (closure && close_sources()) out.min_cut_positions = cut_edges(-1); if (potentials) { - out.potentials.resize(static_cast(net_->num_nodes)); + out.potentials.resize(static_cast(network_->num_nodes)); for (std::size_t v = 0; v < out.potentials.size(); ++v) { - out.potentials[v] = ever_[v] != 0 ? pi_[v] : kNeverReached; + out.potentials[v] = ever_settled_[v] != 0 ? potentials_[v] : kNeverReached; } } return out; } // The final state of the last solve (its value and counters given) into `req`. - void capture(DeletionCapture& req, Amount placed, const FlowCoreCounters& counters) { + void capture(DeletionCapture& req, Amount value, const MinCostFlowCounters& counters) { DeletionState state; state.graph_ = req.graph; - state.net_ = std::make_shared(*net_); - state.res_ = res_; - state.pi_.resize(static_cast(n_)); - for (std::size_t v = 0; v < state.pi_.size(); ++v) state.pi_[v] = I128 {pi_[v]} + (tier_sum_ - checkpoint_[v]); - state.value_ = placed; + state.network_ = std::make_shared(*network_); + state.arc_residual_ = arc_residual_; + state.potentials_.resize(static_cast(num_vertices_)); + for (std::size_t v = 0; v < state.potentials_.size(); ++v) state.potentials_[v] = I128 {potentials_[v]} + (tier_sum_ - checkpoint_[v]); + state.value_ = value; state.maximum_ = close_sources(); state.counters_ = counters; req.state = std::move(state); @@ -328,19 +328,19 @@ class FlowSolver { // The deletion re-solve of input edge k (a real arc with positive flow) from `state`, whose // network this solver holds (load()). DeletionResult resolve(const DeletionState& state, std::size_t k) { - std::copy(state.residual().begin(), state.residual().end(), res_.begin()); - std::copy(state.potentials().begin(), state.potentials().end(), wpi_.begin()); + std::copy(state.residual().begin(), state.residual().end(), arc_residual_.begin()); + std::copy(state.potentials().begin(), state.potentials().end(), repair_potentials_.begin()); DeletionResult out; auto& c = out.counters; - const auto fwd = static_cast(net_->edge_slot[k]); - const auto bwd = static_cast(net_->rev[fwd]); - const Amount f = res_[bwd]; - const std::int32_t u = net_->tail[k]; - const std::int32_t v = net_->head[k]; + const auto fwd = static_cast(network_->edge_forward_arcs[k]); + const auto bwd = static_cast(network_->reverse_arcs[fwd]); + const Amount f = arc_residual_[bwd]; + const std::int32_t u = network_->edge_sources[k]; + const std::int32_t v = network_->edge_destinations[k]; // Removing e leaves f extra units at u and f missing units at v; conservation is broken // until repairs reconnect or cancel them. Remove both residual arcs of e. - res_[fwd] = 0; - res_[bwd] = 0; + arc_residual_[fwd] = 0; + arc_residual_[bwd] = 0; emit(0, false, 0, c); const Amount m = repair(1, u, v, f, false, c); const Amount r = f - m; @@ -349,10 +349,10 @@ class FlowSolver { #if NETGRAPH_CORE_PRIVATE_HOOKS if (probe_ != nullptr && probe_->rerun_failed_search) reuse = false; #endif - if (repair(2, u, s_, r, reuse, c) != r) { + if (repair(2, u, virtual_source_, r, reuse, c) != r) { throw std::logic_error("deletion re-solve: the remainder has no residual path back to the sources"); } - if (repair(3, t_, v, r, false, c) != r) { + if (repair(3, virtual_sink_, v, r, false, c) != r) { throw std::logic_error("deletion re-solve: the deficit has no residual path from the destinations"); } } @@ -361,11 +361,11 @@ class FlowSolver { throw std::logic_error("deletion re-solve: the destinations stay connected to the sources"); } out.value = state.value() - r; - out.potentials = wpi_; - for (std::int32_t j : cut_edges(static_cast(k))) out.cut.push_back(net_->edges[static_cast(j)]); + out.potentials = repair_potentials_; + for (std::int32_t j : cut_edges(static_cast(k))) out.min_cut.push_back(network_->edges[static_cast(j)]); out.edge_flows.assign(static_cast(state.graph().num_edges()), 0); - for (std::size_t j = 0; j < net_->edges.size(); ++j) { - out.edge_flows[static_cast(net_->edges[j])] = j == k ? 0 : flow_of(j); + for (std::size_t j = 0; j < network_->edges.size(); ++j) { + out.edge_flows[static_cast(network_->edges[j])] = j == k ? 0 : flow_of(j); } return out; } @@ -373,42 +373,42 @@ class FlowSolver { private: // The vertex count and the virtual vertices of `net` (refused beyond the limits of // network_vertices(), before any change), then the scratch of that many vertices. - void size(const Network& net) { - n_ = network_vertices(net.num_nodes, net.edges.size(), net.sources.size(), net.destinations.size()); - s_ = n_ - 2; - t_ = n_ - 1; - const auto n = static_cast(n_); + void size(const ResidualNetwork& net) { + num_vertices_ = network_vertices(net.num_nodes, net.edges.size(), net.sources.size(), net.destinations.size()); + virtual_source_ = num_vertices_ - 2; + virtual_sink_ = num_vertices_ - 1; + const auto n = static_cast(num_vertices_); level_.resize(n); reach_.assign(n, 0); - mark_epoch_ = 0; - cur_.resize(n); + reachability_generation_ = 0; + current_arcs_.resize(n); } // The flow of input edge k: the residual of its reverse slot. [[nodiscard]] Amount flow_of(std::size_t k) const { - return res_[static_cast(net_->rev[static_cast(net_->edge_slot[k])])]; + return arc_residual_[static_cast(network_->reverse_arcs[static_cast(network_->edge_forward_arcs[k])])]; } template std::vector

& potentials() { if constexpr (kWide

) { - return wpi_; + return repair_potentials_; } else { - return pi_; + return potentials_; } } template std::vector

& distances() { if constexpr (kWide

) { - return wdist_; + return repair_distances_; } else { - return dist_; + return distances_; } } template RadixHeap

& heap() { if constexpr (kWide

) { - return wheap_; + return repair_heap_; } else { return heap_; } @@ -418,41 +418,41 @@ class FlowSolver { [[nodiscard]] bool reached(std::int32_t x) const { const auto xi = static_cast(x); if constexpr (kWide

) { - return wseen_[xi] == wepoch_; + return repair_seen_generations_[xi] == repair_generation_; } else { - return dist_[xi] != kInfDist; + return distances_[xi] != kInfDist; } } // Dijkstra on reduced costs from origin_ to completion over the residual network. Returns // whether target_ was reached; settled_ lists the vertices it settled. template - bool dijkstra(FlowCoreCounters& c) { + bool dijkstra(MinCostFlowCounters& c) { auto& pi = potentials

(); auto& dist = distances

(); auto& queue = heap

(); // The network is never resized during a search: raw pointers keep the compiler from // reloading net_ and the vector bases around every store into the solver's own buffers. - const std::int32_t* const off = net_->off.data(); - const std::int32_t* const arc_head = net_->arc_head.data(); - const Cost* const arc_cost = net_->arc_cost.data(); + const std::int32_t* const off = network_->arc_offsets.data(); + const std::int32_t* const arc_destinations = network_->arc_destinations.data(); + const Cost* const arc_cost = network_->arc_cost.data(); ++c.dijkstra_runs; if constexpr (kWide

) { // Wraparound after 2^32 wide searches since load(): one resolver's searches over all its // deletions, which no stated limit keeps below 2^32. - if (++wepoch_ == 0) { - std::fill(wseen_.begin(), wseen_.end(), 0); - wepoch_ = 1; + if (++repair_generation_ == 0) { + std::fill(repair_seen_generations_.begin(), repair_seen_generations_.end(), 0); + repair_generation_ = 1; } } else { std::fill(dist.begin(), dist.end(), kInfDist); } settled_.clear(); queue.clear(); - const auto o = static_cast(origin_); + const auto o = static_cast(search_source_); dist[o] = P {0}; - if constexpr (kWide

) wseen_[o] = wepoch_; - queue.push(P {0}, origin_); + if constexpr (kWide

) repair_seen_generations_[o] = repair_generation_; + queue.push(P {0}, search_source_); while (!queue.empty()) { const auto [du, ui] = queue.pop(); ++c.dijkstra_pops; @@ -465,12 +465,12 @@ class FlowSolver { c.arc_scans += end - off[u]; for (auto p = off[u]; p < end; ++p) { const auto a = static_cast(p); - if (res_[a] <= 0) continue; - const auto v = static_cast(arc_head[a]); + if (arc_residual_[a] <= 0) continue; + const auto v = static_cast(arc_destinations[a]); const P nd = base + arc_cost[a] - pi[v]; if constexpr (kWide

) { - if (wseen_[v] != wepoch_ || nd < dist[v]) { - wseen_[v] = wepoch_; + if (repair_seen_generations_[v] != repair_generation_ || nd < dist[v]) { + repair_seen_generations_[v] = repair_generation_; dist[v] = nd; queue.push(nd, static_cast(v)); } @@ -480,7 +480,7 @@ class FlowSolver { } } } - return reached

(target_); + return reached

(search_target_); } // The update of a solve from zero: the settled vertices' potentials by their distances; with @@ -488,15 +488,15 @@ class FlowSolver { void settle() { for (std::int32_t v : settled_) { const auto vi = static_cast(v); - pi_[vi] += dist_[vi]; - ever_[vi] = 1; + potentials_[vi] += distances_[vi]; + ever_settled_[vi] = 1; } if (shadow_) { #if NETGRAPH_CORE_PRIVATE_HOOKS - if (on_search_ != nullptr && *on_search_) (*on_search_)(dist_); + if (on_search_ != nullptr && *on_search_) (*on_search_)(distances_); #endif Cost top = 0; - for (std::int32_t v : settled_) top = std::max(top, dist_[static_cast(v)]); + for (std::int32_t v : settled_) top = std::max(top, distances_[static_cast(v)]); tier_sum_ += top; for (std::int32_t v : settled_) checkpoint_[static_cast(v)] = tier_sum_; } @@ -506,26 +506,26 @@ class FlowSolver { // others by the tier's largest finite distance. void update_all() { I128 top = 0; - for (std::int32_t v : settled_) top = std::max(top, wdist_[static_cast(v)]); - for (std::size_t v = 0; v < wpi_.size(); ++v) wpi_[v] += wseen_[v] == wepoch_ ? wdist_[v] : top; + for (std::int32_t v : settled_) top = std::max(top, repair_distances_[static_cast(v)]); + for (std::size_t v = 0; v < repair_potentials_.size(); ++v) repair_potentials_[v] += repair_seen_generations_[v] == repair_generation_ ? repair_distances_[v] : top; } // The Dinic phases from origin_ to target_ over the admissible subgraph (positive residual, // zero reduced cost) until no admissible path remains or `limit` is reached; on_push(total) // after every push. template - Amount drain(FlowCoreCounters& c, Amount limit, Amount total, OnPush on_push) { - const std::int32_t* const rev = net_->rev.data(); + Amount drain(MinCostFlowCounters& c, Amount limit, Amount total, OnPush on_push) { + const std::int32_t* const rev = network_->reverse_arcs.data(); while (total < limit) { if (!build_levels

(c)) break; - std::copy(net_->off.begin(), net_->off.end() - 1, cur_.begin()); + std::copy(network_->arc_offsets.begin(), network_->arc_offsets.end() - 1, current_arcs_.begin()); while (total < limit) { if (!find_path

(c)) break; Amount amount = limit - total; - for (std::int32_t a : path_) amount = std::min(amount, res_[static_cast(a)]); + for (std::int32_t a : path_) amount = std::min(amount, arc_residual_[static_cast(a)]); for (std::int32_t a : path_) { - res_[static_cast(a)] -= amount; - res_[static_cast(rev[static_cast(a)])] += amount; + arc_residual_[static_cast(a)] -= amount; + arc_residual_[static_cast(rev[static_cast(a)])] += amount; } total += amount; ++c.augmentations; @@ -542,23 +542,23 @@ class FlowSolver { // would only enter and leave. The forward search also stops once the target's level is // complete. The augmenting paths are therefore the ones a full BFS gives. template - bool build_levels(FlowCoreCounters& c) { + bool build_levels(MinCostFlowCounters& c) { const auto& pi = potentials

(); - const std::int32_t* const off = net_->off.data(); - const std::int32_t* const arc_head = net_->arc_head.data(); - const std::int32_t* const rev = net_->rev.data(); - const Cost* const arc_cost = net_->arc_cost.data(); - const auto t = static_cast(target_); + const std::int32_t* const off = network_->arc_offsets.data(); + const std::int32_t* const arc_destinations = network_->arc_destinations.data(); + const std::int32_t* const rev = network_->reverse_arcs.data(); + const Cost* const arc_cost = network_->arc_cost.data(); + const auto t = static_cast(search_target_); // Wraparound after 2^32 phases since size(): one solve from zero, or one resolver's phases // over all its deletions, which no stated limit keeps below 2^32. - if (++mark_epoch_ == 0) { + if (++reachability_generation_ == 0) { std::fill(reach_.begin(), reach_.end(), 0); - mark_epoch_ = 1; + reachability_generation_ = 1; } - // Reverse search from the target: the arc into v from arc_head[p] is the partner of v's slot p. + // Reverse search from the target: the arc into v from arc_destinations[p] is the partner of v's slot p. queue_.clear(); - reach_[t] = mark_epoch_; - queue_.push_back(target_); + reach_[t] = reachability_generation_; + queue_.push_back(search_target_); for (std::size_t qi = 0; qi < queue_.size(); ++qi) { const auto v = static_cast(queue_[qi]); const P pv = pi[v]; @@ -566,22 +566,22 @@ class FlowSolver { c.arc_scans += end - off[v]; for (auto p = off[v]; p < end; ++p) { const auto a = static_cast(p); - const auto u = static_cast(arc_head[a]); - if (reach_[u] == mark_epoch_) continue; + const auto u = static_cast(arc_destinations[a]); + if (reach_[u] == reachability_generation_) continue; const auto in = static_cast(rev[a]); - if (res_[in] > 0 && arc_cost[in] + pi[u] == pv) { - reach_[u] = mark_epoch_; + if (arc_residual_[in] > 0 && arc_cost[in] + pi[u] == pv) { + reach_[u] = reachability_generation_; queue_.push_back(static_cast(u)); } } } std::fill(level_.begin(), level_.end(), -1); ++c.dinic_phases; - const auto s = static_cast(origin_); - if (reach_[s] != mark_epoch_) return false; + const auto s = static_cast(search_source_); + if (reach_[s] != reachability_generation_) return false; queue_.clear(); level_[s] = 0; - queue_.push_back(origin_); + queue_.push_back(search_source_); for (std::size_t qi = 0; qi < queue_.size(); ++qi) { const auto u = static_cast(queue_[qi]); if (level_[t] >= 0 && level_[u] >= level_[t]) break; @@ -591,8 +591,8 @@ class FlowSolver { c.arc_scans += end - off[u]; for (auto p = off[u]; p < end; ++p) { const auto a = static_cast(p); - const auto v = static_cast(arc_head[a]); - if (level_[v] < 0 && reach_[v] == mark_epoch_ && res_[a] > 0 && arc_cost[a] + pu == pi[v]) { + const auto v = static_cast(arc_destinations[a]); + if (level_[v] < 0 && reach_[v] == reachability_generation_ && arc_residual_[a] > 0 && arc_cost[a] + pu == pi[v]) { level_[v] = next; queue_.push_back(static_cast(v)); } @@ -604,38 +604,38 @@ class FlowSolver { // One augmenting path origin_ -> target_ in the level graph into path_ (current-arc pointers // kept: an arc that is pushed through stays current; a dead end advances its parent's pointer). template - bool find_path(FlowCoreCounters& c) { + bool find_path(MinCostFlowCounters& c) { const auto& pi = potentials

(); - const std::int32_t* const off = net_->off.data(); - const std::int32_t* const arc_head = net_->arc_head.data(); - const Cost* const arc_cost = net_->arc_cost.data(); + const std::int32_t* const off = network_->arc_offsets.data(); + const std::int32_t* const arc_destinations = network_->arc_destinations.data(); + const Cost* const arc_cost = network_->arc_cost.data(); stack_.clear(); path_.clear(); - stack_.push_back(origin_); + stack_.push_back(search_source_); while (!stack_.empty()) { const auto u = static_cast(stack_.back()); - if (static_cast(u) == target_) return true; + if (static_cast(u) == search_target_) return true; bool advanced = false; const auto end = off[u + 1]; const auto next = level_[u] + 1; const P pu = pi[u]; - while (cur_[u] < end) { + while (current_arcs_[u] < end) { ++c.arc_scans; - const auto a = static_cast(cur_[u]); - const auto v = static_cast(arc_head[a]); - if (res_[a] > 0 && level_[v] == next && arc_cost[a] + pu == pi[v]) { + const auto a = static_cast(current_arcs_[u]); + const auto v = static_cast(arc_destinations[a]); + if (arc_residual_[a] > 0 && level_[v] == next && arc_cost[a] + pu == pi[v]) { stack_.push_back(static_cast(v)); path_.push_back(static_cast(a)); advanced = true; break; } - ++cur_[u]; + ++current_arcs_[u]; } if (!advanced) { stack_.pop_back(); if (!path_.empty()) { path_.pop_back(); - ++cur_[static_cast(stack_.back())]; + ++current_arcs_[static_cast(stack_.back())]; } } } @@ -645,9 +645,9 @@ class FlowSolver { // One fixed-origin repair of the deletion re-solve: tiers from `origin` to `target` until // `amount` is moved or the target is unreachable; with `reuse`, the first tier reuses the // last search (from the same origin, nothing changed since). Returns the amount moved. - Amount repair(int index, std::int32_t origin, std::int32_t target, Amount amount, bool reuse, FlowCoreCounters& c) { - origin_ = origin; - target_ = target; + Amount repair(int index, std::int32_t origin, std::int32_t target, Amount amount, bool reuse, MinCostFlowCounters& c) { + search_source_ = origin; + search_target_ = target; Amount moved = 0; bool search = !reuse; while (moved < amount) { @@ -656,7 +656,7 @@ class FlowSolver { update_all(); emit(index, false, moved, c); if (!hit) break; - } else if (!reached(target_)) { + } else if (!reached(search_target_)) { throw std::logic_error("deletion re-solve: the reused search did not reach the repair's target"); } search = true; @@ -670,11 +670,11 @@ class FlowSolver { // The full residual closure of the real sources (reverse and virtual arcs included) into // seen_. Returns whether t* is outside it. bool close_sources() { - const std::int32_t* const off = net_->off.data(); - const std::int32_t* const arc_head = net_->arc_head.data(); - seen_.assign(static_cast(n_), 0); + const std::int32_t* const off = network_->arc_offsets.data(); + const std::int32_t* const arc_destinations = network_->arc_destinations.data(); + seen_.assign(static_cast(num_vertices_), 0); queue_.clear(); - for (std::int32_t s : net_->sources) { + for (std::int32_t s : network_->sources) { seen_[static_cast(s)] = 1; queue_.push_back(s); } @@ -682,24 +682,24 @@ class FlowSolver { const auto u = static_cast(queue_[qi]); for (auto p = off[u]; p < off[u + 1]; ++p) { const auto a = static_cast(p); - const auto v = static_cast(arc_head[a]); - if (res_[a] > 0 && seen_[v] == 0) { + const auto v = static_cast(arc_destinations[a]); + if (arc_residual_[a] > 0 && seen_[v] == 0) { seen_[v] = 1; queue_.push_back(static_cast(v)); } } } - return seen_[static_cast(t_)] == 0; + return seen_[static_cast(virtual_sink_)] == 0; } // The input edges from the closure to its complement (ascending), whatever their view // capacity: an edge of view 0 there adds nothing to the cut's value and is listed because every // edge leaving the closure is; the input edge `skip` (a deleted edge) left out. [[nodiscard]] std::vector cut_edges(std::int64_t skip) const { - const std::int32_t* const tail = net_->tail.data(); - const std::int32_t* const head = net_->head.data(); + const std::int32_t* const tail = network_->edge_sources.data(); + const std::int32_t* const head = network_->edge_destinations.data(); std::vector cut; - for (std::size_t k = 0; k < net_->edges.size(); ++k) { + for (std::size_t k = 0; k < network_->edges.size(); ++k) { if (static_cast(k) != skip && seen_[static_cast(tail[k])] != 0 && seen_[static_cast(head[k])] == 0) { cut.push_back(static_cast(k)); @@ -709,36 +709,36 @@ class FlowSolver { } #if NETGRAPH_CORE_PRIVATE_HOOKS - void emit(int repair, bool push, Amount moved, const FlowCoreCounters& c) const { - if (probe_ != nullptr && probe_->observe) probe_->observe(DeletionEvent {repair, push, moved, res_, wpi_, &c}); + void emit(int repair, bool push, Amount moved, const MinCostFlowCounters& c) const { + if (probe_ != nullptr && probe_->observe) probe_->observe(DeletionEvent {repair, push, moved, arc_residual_, repair_potentials_, &c}); } #else - void emit(int /*repair*/, bool /*push*/, Amount /*moved*/, const FlowCoreCounters& /*c*/) const noexcept {} + void emit(int /*repair*/, bool /*push*/, Amount /*moved*/, const MinCostFlowCounters& /*c*/) const noexcept {} #endif - Network own_ {}; // a solve from zero's network (build()) - const Network* net_ {&own_}; // the network the searches read: own_, or a captured one (load()) - std::int32_t n_ {0}; - std::int32_t s_ {0}; - std::int32_t t_ {0}; - std::int32_t origin_ {0}; - std::int32_t target_ {0}; - std::vector pos_ {}; - std::vector res_ {}; + ResidualNetwork owned_network_ {}; // a solve from zero's network (build()) + const ResidualNetwork* network_ {&owned_network_}; // the network the searches read: own_, or a captured one (load()) + std::int32_t num_vertices_ {0}; + std::int32_t virtual_source_ {0}; + std::int32_t virtual_sink_ {0}; + std::int32_t search_source_ {0}; + std::int32_t search_target_ {0}; + std::vector arc_fill_positions_ {}; + std::vector arc_residual_ {}; // A solve from zero. - std::vector pi_ {}; - std::vector ever_ {}; - std::vector dist_ {}; + std::vector potentials_ {}; + std::vector ever_settled_ {}; + std::vector distances_ {}; RadixHeap heap_ {}; bool shadow_ {false}; I128 tier_sum_ {}; std::vector checkpoint_ {}; // The deletion mode. - std::vector wpi_ {}; - std::vector wdist_ {}; - std::vector wseen_ {}; - std::uint32_t wepoch_ {0}; - RadixHeap wheap_ {}; + std::vector repair_potentials_ {}; + std::vector repair_distances_ {}; + std::vector repair_seen_generations_ {}; + std::uint32_t repair_generation_ {0}; + RadixHeap repair_heap_ {}; #if NETGRAPH_CORE_PRIVATE_HOOKS const DeletionProbe* probe_ {nullptr}; const std::function)>* on_search_ {nullptr}; @@ -747,9 +747,9 @@ class FlowSolver { std::vector settled_ {}; std::vector level_ {}; std::vector reach_ {}; - std::uint32_t mark_epoch_ {0}; + std::uint32_t reachability_generation_ {0}; std::vector queue_ {}; - std::vector cur_ {}; + std::vector current_arcs_ {}; std::vector stack_ {}; std::vector path_ {}; std::vector seen_ {}; @@ -757,9 +757,9 @@ class FlowSolver { std::vector DeletionState::edge_flows() const { std::vector flows(static_cast(graph_->num_edges()), 0); - for (std::size_t k = 0; k < net_->edges.size(); ++k) { - const auto fwd = static_cast(net_->edge_slot[k]); - flows[static_cast(net_->edges[k])] = res_[static_cast(net_->rev[fwd])]; + for (std::size_t k = 0; k < network_->edges.size(); ++k) { + const auto fwd = static_cast(network_->edge_forward_arcs[k]); + flows[static_cast(network_->edges[k])] = arc_residual_[static_cast(network_->reverse_arcs[fwd])]; } return flows; } @@ -771,8 +771,8 @@ DeletionState& DeletionState::operator=(const DeletionState& other) { // The solver reads the network that state_ shares: it lives as long as state_, a move included // (a move transfers the owner, the network stays where it is). -DeletionResolver::DeletionResolver(const DeletionState& state) : state_(state), solver_(std::make_unique()) { - if (state_.net_ == nullptr) throw std::invalid_argument("deletion re-solve: an empty state (no solve captured it)"); +DeletionResolver::DeletionResolver(const DeletionState& state) : state_(state), solver_(std::make_unique()) { + if (state_.network_ == nullptr) throw std::invalid_argument("deletion re-solve: an empty state (no solve captured it)"); solver_->load(state_.network()); } @@ -786,7 +786,7 @@ DeletionResult DeletionResolver::resolve(EdgeId e) { return solver_->resolve(sta DeletionResult DeletionResolver::resolve(EdgeId e, const DeletionProbe& probe) { const std::size_t k = index_of(e); struct Reset { - FlowSolver& solver; + MinCostFlowSolver& solver; ~Reset() { solver.probe(nullptr); } } reset {*solver_}; solver_->probe(&probe); @@ -800,83 +800,83 @@ std::size_t DeletionResolver::index_of(EdgeId e) const { "deletion re-solve: the state is not certified maximum (a residual path from the sources to the " "destinations remains)"); } - const Network& net = state_.network(); + const ResidualNetwork& net = state_.network(); const auto it = std::lower_bound(net.edges.begin(), net.edges.end(), e); if (it == net.edges.end() || *it != e) { throw std::invalid_argument("deletion re-solve: edge " + std::to_string(e) + " is not in the solve's view"); } const auto k = static_cast(it - net.edges.begin()); - const auto fwd = static_cast(net.edge_slot[k]); - if (state_.residual()[static_cast(net.rev[fwd])] <= 0) { + const auto fwd = static_cast(net.edge_forward_arcs[k]); + if (state_.residual()[static_cast(net.reverse_arcs[fwd])] <= 0) { throw std::invalid_argument("deletion re-solve: edge " + std::to_string(e) + " carries no flow"); } return k; } -FlowCoreResult place_global_units(const Graph& g, +MinCostFlowResult solve_min_cost_flow(const Graph& graph, std::span view, std::span sources, std::span destinations, - const Eligibility* elig, + const Eligibility* eligibility, std::optional cap, DeletionCapture* capture, std::span source_caps) { - const auto num_edges = static_cast(g.num_edges()); - check_edge_amounts(g, view, "view"); - const auto srcs = node_set(sources, g.num_nodes(), "sources"); - const auto dsts = node_set(destinations, g.num_nodes(), "destinations"); + const auto num_edges = static_cast(graph.num_edges()); + check_edge_amounts(graph, view, "view"); + const auto srcs = node_set(sources, graph.num_nodes(), "sources"); + const auto dsts = node_set(destinations, graph.num_nodes(), "destinations"); check_disjoint(srcs, dsts, "sources", "destinations"); if (cap.has_value() && (*cap < 0 || *cap > kMaxFlowCap)) { throw std::invalid_argument("cap " + std::to_string(*cap) + " is outside [0, 2^63 - 2]"); } - if (elig != nullptr && elig->graph_uid() != g.uid()) { + if (eligibility != nullptr && eligibility->graph_uid() != graph.uid()) { throw std::invalid_argument("foreign Eligibility: built for another graph"); } - if (capture != nullptr && capture->graph.get() != &g) { + if (capture != nullptr && capture->graph.get() != &graph) { throw std::logic_error("flow core: a capture request bound to another graph"); } if (!source_caps.empty() && (source_caps.size() != srcs.size() || capture != nullptr)) { throw std::logic_error("flow core: source capacities not aligned with the sources, or captured"); } - FlowCoreResult out; + MinCostFlowResult out; const bool zero = cap.has_value() && *cap == 0; if (zero) { // The input cap 0 runs nothing: the prescribed zero payload. out.edge_flows.assign(num_edges, 0); - out.potentials.assign(static_cast(g.num_nodes()), kNeverReached); + out.potentials.assign(static_cast(graph.num_nodes()), kNeverReached); if (capture == nullptr) return out; } // Identity coordinates: every real vertex, the allowed edges and endpoints. - FlowSolver& solver = FlowSolver::local(); - Network& in = solver.network(); - in.num_nodes = g.num_nodes(); - const auto edge_src = g.edge_src(); - const auto edge_dst = g.edge_dst(); - const auto cost = g.cost(); + MinCostFlowSolver& solver = MinCostFlowSolver::local(); + ResidualNetwork& in = solver.network(); + in.num_nodes = graph.num_nodes(); + const auto edge_sources = graph.edge_sources(); + const auto edge_destinations = graph.edge_destinations(); + const auto cost = graph.edge_costs(); in.edges.clear(); - in.tail.clear(); - in.head.clear(); + in.edge_sources.clear(); + in.edge_destinations.clear(); in.cost.clear(); - in.cap.clear(); + in.edge_capacities.clear(); in.sources.clear(); - in.src_cap.clear(); + in.source_capacities.clear(); in.destinations.clear(); in.edges.reserve(num_edges); for (std::size_t e = 0; e < num_edges; ++e) { - if (elig != nullptr && !elig->edge_ok(static_cast(e))) continue; + if (eligibility != nullptr && !eligibility->allows_edge(static_cast(e))) continue; in.edges.push_back(static_cast(e)); - in.tail.push_back(edge_src[e]); - in.head.push_back(edge_dst[e]); + in.edge_sources.push_back(edge_sources[e]); + in.edge_destinations.push_back(edge_destinations[e]); in.cost.push_back(cost[e]); - in.cap.push_back(view[e]); + in.edge_capacities.push_back(view[e]); } for (std::size_t i = 0; i < srcs.size(); ++i) { - if (elig != nullptr && !elig->node_ok(srcs[i])) continue; + if (eligibility != nullptr && !eligibility->allows_node(srcs[i])) continue; in.sources.push_back(srcs[i]); - if (!source_caps.empty()) in.src_cap.push_back(source_caps[i]); + if (!source_caps.empty()) in.source_capacities.push_back(source_caps[i]); } for (NodeId d : dsts) { - if (elig == nullptr || elig->node_ok(d)) in.destinations.push_back(d); + if (eligibility == nullptr || eligibility->allows_node(d)) in.destinations.push_back(d); } solver.build(capture != nullptr); #if NETGRAPH_CORE_PRIVATE_HOOKS @@ -884,22 +884,22 @@ FlowCoreResult place_global_units(const Graph& g, #endif if (!zero) { auto r = solver.run(cap.value_or(kUncapped), /*closure=*/true); - out.placed = r.placed; - out.cost_distribution = std::move(r.cost_distribution); + out.flow_value = r.flow_value; + out.marginal_cost_curve = std::move(r.marginal_cost_curve); out.edge_flows.assign(num_edges, 0); for (std::size_t k = 0; k < in.edges.size(); ++k) { - out.edge_flows[static_cast(in.edges[k])] = r.flows[k]; + out.edge_flows[static_cast(in.edges[k])] = r.edge_flows[k]; } - if (r.cut.has_value()) { + if (r.min_cut_positions.has_value()) { std::vector cut; - cut.reserve(r.cut->size()); - for (std::int32_t k : *r.cut) cut.push_back(in.edges[static_cast(k)]); + cut.reserve(r.min_cut_positions->size()); + for (std::int32_t k : *r.min_cut_positions) cut.push_back(in.edges[static_cast(k)]); out.min_cut = std::move(cut); } out.potentials = std::move(r.potentials); out.counters = r.counters; } - if (capture != nullptr) solver.capture(*capture, out.placed, out.counters); + if (capture != nullptr) solver.capture(*capture, out.flow_value, out.counters); return out; } @@ -910,56 +910,56 @@ SubsetFlow subset_flow(const Graph& g, std::span edges, std::span< std::span sources, std::span destinations, std::optional cap, std::span source_caps, bool by_cost) { SubsetFlow out; - out.flows.assign(edges.size(), 0); + out.edge_flows.assign(edges.size(), 0); if (cap.has_value() && *cap == 0) return out; - const auto edge_src = g.edge_src(); - const auto edge_dst = g.edge_dst(); - const auto cost = g.cost(); + const auto edge_sources = g.edge_sources(); + const auto edge_destinations = g.edge_destinations(); + const auto cost = g.edge_costs(); // Compressed vertices in first-touch order. The numbering changes no flow, curve or path: // the arc order at every vertex is by EdgeId (virtual arc first) and the virtual arcs of s* // and t* follow the endpoint lists, which stay in ascending NodeId. NodeMap& map = NodeMap::local(); map.reset(static_cast(g.num_nodes())); // The input's storage is the thread's solver's (every field is rewritten here). - FlowSolver& solver = FlowSolver::local(); - Network& in = solver.network(); + MinCostFlowSolver& solver = MinCostFlowSolver::local(); + ResidualNetwork& in = solver.network(); in.edges.assign(edges.begin(), edges.end()); - in.tail.clear(); - in.head.clear(); + in.edge_sources.clear(); + in.edge_destinations.clear(); in.cost.clear(); in.sources.clear(); in.destinations.clear(); for (EdgeId e : edges) { const auto ei = static_cast(e); - in.tail.push_back(map.add(edge_src[ei])); - in.head.push_back(map.add(edge_dst[ei])); + in.edge_sources.push_back(map.add(edge_sources[ei])); + in.edge_destinations.push_back(map.add(edge_destinations[ei])); in.cost.push_back(by_cost ? cost[ei] : 0); } for (NodeId v : sources) in.sources.push_back(map.add(v)); - in.src_cap.assign(source_caps.begin(), source_caps.end()); + in.source_capacities.assign(source_caps.begin(), source_caps.end()); for (NodeId v : destinations) in.destinations.push_back(map.add(v)); in.num_nodes = static_cast(map.size()); - in.cap.assign(caps.begin(), caps.end()); + in.edge_capacities.assign(caps.begin(), caps.end()); solver.build(false); auto r = solver.run(cap.value_or(kUncapped), /*closure=*/false, /*potentials=*/false); - out.placed = r.placed; - out.flows = std::move(r.flows); - out.cost_distribution = std::move(r.cost_distribution); + out.flow_value = r.flow_value; + out.edge_flows = std::move(r.edge_flows); + out.marginal_cost_curve = std::move(r.marginal_cost_curve); return out; } } // namespace -SubsetFlow solve_subset(const Graph& g, std::span edges, std::span caps, +SubsetFlow solve_subset(const Graph& graph, std::span edges, std::span caps, std::span sources, std::span destinations, std::optional cap, std::span source_caps) { - return subset_flow(g, edges, caps, sources, destinations, cap, source_caps, true); + return subset_flow(graph, edges, caps, sources, destinations, cap, source_caps, true); } Amount max_flow_subset(const Graph& g, std::span edges, std::span caps, std::span sources, std::span destinations, Amount cap, std::span source_caps) { - return subset_flow(g, edges, caps, sources, destinations, cap, source_caps, false).placed; + return subset_flow(g, edges, caps, sources, destinations, cap, source_caps, false).flow_value; } } // namespace netgraph::core::detail diff --git a/src/program.cpp b/src/program.cpp deleted file mode 100644 index 923a13e..0000000 --- a/src/program.cpp +++ /dev/null @@ -1,494 +0,0 @@ -/* - ForwardingProgram: the value, from_routes (8.2), the programs of the computing models and the - comparison of the change flags (10.4). - - Every program keeps its entries in ascending index, per roster slot its entries, its split - contexts (one plan each; a CostOnly program's is pooled over its roster) and its replay basis. - Nothing in a program changes after construction; policies share it by reference. -*/ -#include "netgraph/core/program.hpp" - -#include -#include -#include -#include - -#include "netgraph/core/detail/edge_amounts.hpp" -#include "netgraph/core/detail/endpoints.hpp" -#include "netgraph/core/detail/enum_domain.hpp" -#include "netgraph/core/detail/program_data.hpp" -#include "netgraph/core/detail/pred_dag_builder.hpp" - -namespace netgraph::core { - -ForwardingProgram::ForwardingProgram(const detail::ProgramData* data) noexcept : data_(data) {} -ForwardingProgram::~ForwardingProgram() = default; - -std::uint64_t ForwardingProgram::graph_uid() const noexcept { return data_->graph_uid; } -std::span ForwardingProgram::sources() const noexcept { return data_->sources; } -std::span ForwardingProgram::destinations() const noexcept { return data_->destinations; } -std::span ForwardingProgram::tunnels() const noexcept { return data_->tunnels; } -const std::optional>>& ForwardingProgram::source_weights() const noexcept { - return data_->source_weights; -} - -namespace detail { - -namespace { - -[[noreturn]] void invalid(const std::string& what) { throw std::invalid_argument(what); } - -std::string route_at(std::size_t i) { return "routes[" + std::to_string(i) + "]: "; } - -} // namespace - -void ProgramData::lay_out(std::span src, std::span dst, - std::optional> given, std::span xn, - std::span xe) { - const std::size_t n = entries.size(); - const std::size_t room = given.has_value() ? given->size() : n; // the roster's room - const std::size_t lists = pooled ? 0 : room + 2 + n; // slot_first (counting sort) + slot_entries - std::size_t roots = 0; - for (const auto& c : contexts) roots += c.plan->roots.size(); - // The block, in this order: sources, destinations, roster, excluded nodes and edges, the per-slot - // lists, the per-tunnel entries, the contexts' root entries. - std::vector store(src.size() + dst.size() + room + xn.size() + xe.size() + lists + tunnels.size() + - roots); - std::int32_t* at = store.data(); - auto put = [&at](auto list) { - std::int32_t* first = at; - at = std::copy(list.begin(), list.end(), at); - return first; - }; - NodeId* s0 = put(src); - NodeId* d0 = put(dst); - NodeId* r0 = at; - std::size_t k = 0; - if (given.has_value()) { - put(*given); - k = given->size(); - } else { - for (const auto& entry : entries) *at++ = entry.head; - std::sort(r0, at); - k = static_cast(std::unique(r0, at) - r0); - at = r0 + room; - } - NodeId* xn0 = put(xn); - EdgeId* xe0 = put(xe); - std::int32_t* first = at; - std::int32_t* order = first + (pooled ? 0 : room + 2); - std::int32_t* by_tunnel = first + lists; - const std::span ros(r0, k); - for (auto& entry : entries) { - entry.slot = static_cast(std::lower_bound(ros.begin(), ros.end(), entry.head) - ros.begin()); - } - if (pooled) { - // A pooled program's slots carry one entry each (entries_of): no lists, local index 0. - for (auto& entry : entries) entry.local_index = 0; - } else { - // A stable counting sort by slot: counted at slot + 2, summed, placed through slot + 1 (which - // then holds the slot's end, the next slot's start); ascending index within a slot. - for (const auto& entry : entries) ++first[static_cast(entry.slot) + 2]; - for (std::size_t x = 2; x < k + 2; ++x) first[x] += first[x - 1]; - for (std::size_t e = 0; e < n; ++e) order[first[static_cast(entries[e].slot) + 1]++] = static_cast(e); - for (std::size_t x = 0; x < k; ++x) { - for (auto j = first[x]; j < first[x + 1]; ++j) { - auto& entry = entries[static_cast(order[j])]; - entry.local_index = j - first[x]; - if (entry.tunnel >= 0) tunnels[static_cast(entry.tunnel)].local_index = entry.local_index; - } - } - } - std::fill(by_tunnel, by_tunnel + tunnels.size() + roots, -1); - for (std::size_t e = 0; e < n; ++e) { - if (entries[e].tunnel >= 0) by_tunnel[entries[e].tunnel] = static_cast(e); - } - // Each context's root entries: the entry of that context whose head is the root (a CostOnly - // plan's roots are its roster, each with its entry; a supplied split route's is its head). - std::int32_t* root0 = by_tunnel + tunnels.size(); - for (std::size_t c = 0, at_root = 0; c < contexts.size(); ++c) { - contexts[c].root_entry = {root0 + at_root, contexts[c].plan->roots.size()}; - at_root += contexts[c].plan->roots.size(); - } - for (std::size_t e = 0; e < n; ++e) { - const auto c = entries[e].context; - if (c < 0) continue; - const auto& ctx = contexts[static_cast(c)]; - const auto& plan_roots = ctx.plan->roots; - const auto r = std::lower_bound(plan_roots.begin(), plan_roots.end(), entries[e].head) - plan_roots.begin(); - root0[(ctx.root_entry.data() - root0) + r] = static_cast(e); - } - // The views, into the block now owned (a vector's move keeps its elements where they are). - store_ = std::move(store); - sources = {s0, src.size()}; - destinations = {d0, dst.size()}; - roster = ros; - excluded_nodes = {xn0, xn.size()}; - excluded_edges = {xe0, xe.size()}; - slot_first = pooled ? std::span {} : std::span(first, k + 1); - slot_entries = pooled ? std::span {} : std::span(order, n); - tunnel_entry = {by_tunnel, tunnels.size()}; -} - -std::shared_ptr ProgramAccess::make(ProgramData&& data) { - auto block = std::make_shared(std::move(data)); - return {block, &block->program}; -} - -void check_route_options(bool any_dag, std::optional placement, std::optional weights, - bool edge_weights, bool residual) { - if (!any_dag) { - if (placement.has_value()) invalid("placement applies only to PredDAG routes"); - if (weights.has_value()) invalid("weights applies only to PredDAG routes"); - if (edge_weights) invalid("edge_weights applies only to PredDAG routes"); - if (residual) invalid("residual applies only to PredDAG routes"); - return; - } - if (placement.has_value()) check_member(*placement, "placement"); - if (weights.has_value()) check_member(*weights, "weights"); - if (placement == FlowPlacement::MaxFlow) invalid("from_routes placement must be EQUAL_BALANCED or WEIGHTED"); - const bool weighted = placement == FlowPlacement::Weighted; - if (weights.has_value() && !weighted) invalid("weights require placement=WEIGHTED"); - if (weights == WeightBasis::Explicit && !edge_weights) invalid("weights=EXPLICIT requires edge_weights"); - if (edge_weights && weights != WeightBasis::Explicit) invalid("edge_weights require weights=EXPLICIT"); - if (weights == WeightBasis::ResidualSnapshot && !residual) invalid("weights=RESIDUAL_SNAPSHOT requires residual"); - if (residual && weights != WeightBasis::ResidualSnapshot) invalid("residual requires weights=RESIDUAL_SNAPSHOT"); -} - -// ---------------------------------------------------------------- the models' programs - -std::shared_ptr controller_program( - const Graph& g, std::span sources, std::span destinations, - std::span roster, std::vector paths, std::span supplies, - ControllerBasis basis) { - ProgramData data; - ProgramData* p = &data; - p->graph_uid = g.uid(); - if (!supplies.empty()) { - p->head_weight.assign(supplies.begin(), supplies.end()); - p->source_weights.emplace(); - p->source_weights->reserve(roster.size()); - for (std::size_t i = 0; i < roster.size(); ++i) p->source_weights->emplace_back(roster[i], supplies[i]); - } - const auto cost = g.cost(); - const auto edge_dst = g.edge_dst(); - p->tunnels.reserve(paths.size()); - p->entries.reserve(paths.size()); - for (std::size_t i = 0; i < paths.size(); ++i) { - auto& path = paths[i]; - Tunnel t; - t.index = static_cast(i); - t.head = roster[static_cast(path.slot)]; - t.destination = edge_dst[static_cast(path.edges.back())]; - Cost route_cost = 0; - for (EdgeId e : path.edges) route_cost += cost[static_cast(e)]; - t.route_cost = route_cost; - t.weight = path.amount; - ProgramEntry entry; - entry.index = t.index; - entry.head = t.head; - entry.slot = path.slot; - entry.weight = path.amount; - entry.tunnel = static_cast(i); - entry.cost = route_cost; - t.edges = std::move(path.edges); - p->tunnels.push_back(std::move(t)); - p->entries.push_back(std::move(entry)); - } - p->topology = basis.topology; - p->slot_routes = std::move(basis.per_source); - p->common_basis = std::move(basis.common); - p->lay_out(sources, destinations, roster, basis.excluded_nodes, basis.excluded_edges); - return ProgramAccess::make(std::move(data)); -} - -std::shared_ptr cost_only_program( - const Graph& g, std::span sources, std::span destinations, - std::span roster, std::shared_ptr plan, std::vector entries) { - ProgramData data; - ProgramData* p = &data; - p->graph_uid = g.uid(); - SplitContext ctx; - ctx.plan = std::move(plan); - p->entries = std::move(entries); - for (std::size_t i = 0; i < roster.size(); ++i) { - auto& entry = p->entries[i]; - entry.index = static_cast(i); - entry.head = roster[i]; - entry.slot = static_cast(i); - entry.weight = 1; - entry.context = 0; - } - p->contexts.push_back(std::move(ctx)); - p->pooled = true; - p->lay_out(sources, destinations, roster); - return ProgramAccess::make(std::move(data)); -} - -std::shared_ptr tunnel_program( - const Graph& g, std::span sources, std::span destinations, - std::span roster, std::vector tunnels, std::span excluded_nodes, - std::span excluded_edges) { - ProgramData data; - ProgramData* p = &data; - p->graph_uid = g.uid(); - const auto edge_dst = g.edge_dst(); - const auto H = static_cast(roster.size()); - p->tunnels.reserve(tunnels.size()); - p->entries.reserve(tunnels.size()); - for (std::size_t i = 0; i < tunnels.size(); ++i) { - auto& s = tunnels[i]; - const bool up = s.status == TunnelStatus::Up; - Tunnel t; - t.index = s.round * H + s.slot; - t.head = roster[static_cast(s.slot)]; - t.status = s.status; - t.requested = s.requested; - t.reserved = up ? s.requested : 0; - t.planned = s.planned; - t.weight = up ? 1 : 0; - ProgramEntry entry; - entry.index = t.index; - entry.head = t.head; - entry.slot = s.slot; - entry.weight = t.weight; - entry.tunnel = static_cast(i); - entry.cost = up ? s.cost : kUnreachable; - if (up) { - t.destination = edge_dst[static_cast(s.edges.back())]; - t.route_cost = s.cost; - t.edges = std::move(s.edges); - } - p->tunnels.push_back(std::move(t)); - p->entries.push_back(std::move(entry)); - } - p->topology = true; - p->lay_out(sources, destinations, roster, excluded_nodes, excluded_edges); - return ProgramAccess::make(std::move(data)); -} - -std::shared_ptr empty_program(std::uint64_t graph_uid, std::span sources, - std::span destinations, bool captured) { - ProgramData data; - ProgramData* p = &data; - p->graph_uid = graph_uid; - if (captured) p->source_weights.emplace(); - p->lay_out(sources, destinations, std::span {}); - return ProgramAccess::make(std::move(data)); -} - -// ---------------------------------------------------------------- the change flags - -namespace { - -bool same_plan_structure(const KernelPlan& a, const KernelPlan& b) noexcept { - return a.placement == b.placement && a.members == b.members && std::equal(a.roots.begin(), a.roots.end(), b.roots.begin(), b.roots.end()); -} - -} // namespace - -void ProgramData::basis_parts(std::size_t slot, std::vector, bool>>& out) const { - if (common_basis) { - out.emplace_back(*common_basis, true); - return; - } - if (!slot_routes.empty()) { - out.emplace_back(PredDAGBuilder::ascending(*slot_routes[slot]), true); - return; - } - for (std::int32_t e : entries_of(slot)) { - const auto& entry = entries[static_cast(e)]; - if (entry.tunnel >= 0) { - out.emplace_back(path_of(tunnels[static_cast(entry.tunnel)]), false); - } else { - out.emplace_back(PredDAGBuilder::ascending(*entry.bundle), true); - } - } -} - -ProgramChange compare_programs(const ForwardingProgram* before, const ForwardingProgram* after, - bool reservations) noexcept { - static const ProgramData kNone {}; - const ProgramData& a = before != nullptr ? ProgramAccess::data(*before) : kNone; - const ProgramData& b = after != nullptr ? ProgramAccess::data(*after) : kNone; - if (a.entries.empty() && b.entries.empty()) return {}; - ProgramChange out; - // Routes: the ordered heads, each entry's kind and route (a tunnel's path, a split route's - // context), duplicates included (entries are compared one by one). - out.routes = !std::ranges::equal(a.roster, b.roster) || a.entries.size() != b.entries.size() || - a.contexts.size() != b.contexts.size(); - for (std::size_t i = 0; !out.routes && i < a.entries.size(); ++i) { - const auto& x = a.entries[i]; - const auto& y = b.entries[i]; - if (x.index != y.index || x.head != y.head || (x.tunnel < 0) != (y.tunnel < 0)) { - out.routes = true; - } else if (x.tunnel >= 0) { - out.routes = a.tunnels[static_cast(x.tunnel)].edges != b.tunnels[static_cast(y.tunnel)].edges; - } else { - out.routes = x.context != y.context; - } - } - for (std::size_t c = 0; !out.routes && c < a.contexts.size(); ++c) { - out.routes = !same_plan_structure(*a.contexts[c].plan, *b.contexts[c].plan); - } - // Weights: the injection (equal or the captured weights) and every entry and split-table weight, - // an entry absent from one program counting as weight 0 there. - out.weights = a.source_weights.has_value() != b.source_weights.has_value() || a.head_weight != b.head_weight || - a.contexts.size() != b.contexts.size(); - const std::size_t n = std::max(a.entries.size(), b.entries.size()); - auto weight = [](const ProgramData& p, std::size_t i) { return i < p.entries.size() ? p.entries[i].weight : Amount {0}; }; - for (std::size_t i = 0; !out.weights && i < n; ++i) out.weights = weight(a, i) != weight(b, i); - for (std::size_t c = 0; !out.weights && c < a.contexts.size(); ++c) { - out.weights = a.contexts[c].plan->weights != b.contexts[c].plan->weights; - } - // Reservations: every tunnel's (requested, reserved) by index (both lists ascend), a tunnel - // absent from one program counting as (0, 0) there (only T1 tunnels have them). - if (!reservations) return out; - auto held = [](const Tunnel& t) { return t.requested != 0 || t.reserved != 0; }; - std::size_t i = 0; - std::size_t j = 0; - while (!out.reservations && (i < a.tunnels.size() || j < b.tunnels.size())) { - const Tunnel* x = i < a.tunnels.size() ? &a.tunnels[i] : nullptr; - const Tunnel* y = j < b.tunnels.size() ? &b.tunnels[j] : nullptr; - if (x != nullptr && (y == nullptr || x->index < y->index)) { - out.reservations = held(*x); - ++i; - } else if (y != nullptr && (x == nullptr || y->index < x->index)) { - out.reservations = held(*y); - ++j; - } else { - out.reservations = x->requested != y->requested || x->reserved != y->reserved; - ++i; - ++j; - } - } - return out; -} - -} // namespace detail - -// ---------------------------------------------------------------- from_routes - -std::shared_ptr ForwardingProgram::from_routes(const Graph& g, std::span sources, - std::span destinations, - std::span routes, - const RouteOptions& options) { - using detail::invalid; - using detail::route_at; - // 1. The endpoint sets. - auto src = detail::node_set(sources, g.num_nodes(), "sources"); - auto dst = detail::node_set(destinations, g.num_nodes(), "destinations"); - detail::check_disjoint(src, dst, "sources", "destinations"); - // 2. The list. - if (routes.empty()) invalid("routes must not be empty"); - // 3 to 5. The options. - bool any_dag = false; - for (const auto& r : routes) any_dag = any_dag || std::holds_alternative>(r.bundle); - detail::check_route_options(any_dag, options.placement, options.weights, options.edge_weights.has_value(), - options.residual.has_value()); - // 6. The vectors' lengths and entries. - const auto E = static_cast(g.num_edges()); - if (options.edge_weights.has_value()) { - const auto& w = *options.edge_weights; - if (w.size() != E) invalid("edge_weights: expected " + std::to_string(E) + " entries"); - for (std::size_t e = 0; e < E; ++e) { - if (w[e] < 0 || w[e] >= kDomainLimit) invalid("edge_weights[" + std::to_string(e) + "] must be an integer in [0, 2^62)"); - } - } - if (options.residual.has_value()) detail::check_edge_amounts(g, *options.residual, "residual"); - // 7. Each route in list order, its entry made as soon as it is checked (a later route's failure - // discards the program being made). The roster is the sources with a route. - const auto edge_dst = g.edge_dst(); - const FlowPlacement placement = options.placement.value_or(FlowPlacement::EqualBalanced); - const WeightBasis basis = options.weights.value_or(WeightBasis::Capacity); - // Weighted reads its weights per edge: the explicit weights or the residual snapshot. - std::span edge_values; - if (placement == FlowPlacement::Weighted && basis == WeightBasis::Explicit) edge_values = *options.edge_weights; - if (placement == FlowPlacement::Weighted && basis == WeightBasis::ResidualSnapshot) edge_values = *options.residual; - detail::ProgramData data; - detail::ProgramData* p = &data; - p->graph_uid = g.uid(); - std::size_t num_dags = 0; - for (const auto& r : routes) num_dags += std::holds_alternative>(r.bundle) ? 1 : 0; - p->entries.reserve(routes.size()); - p->contexts.reserve(num_dags); - p->tunnels.reserve(routes.size() - num_dags); - // The destination flags, made for the first Path (a tunnel's end and its earlier hops). - std::vector is_dst; - for (std::size_t i = 0; i < routes.size(); ++i) { - const auto& r = routes[i]; - const auto* path = std::get_if>(&r.bundle); - const auto* dag = std::get_if>(&r.bundle); - if ((path != nullptr && !*path) || (dag != nullptr && !*dag)) invalid(route_at(i) + "bundle is null"); - const std::uint64_t uid = path != nullptr ? (*path)->graph_uid() : (*dag)->graph_uid(); - if (uid != g.uid()) invalid(route_at(i) + "bundle belongs to another graph"); - if (!std::binary_search(src.begin(), src.end(), r.head)) { - invalid(route_at(i) + "head " + std::to_string(r.head) + " is not a source"); - } - detail::ProgramEntry entry; - entry.index = static_cast(i); - entry.head = r.head; - entry.weight = r.weight; - if (path != nullptr) { - if (is_dst.empty()) { - is_dst.assign(static_cast(g.num_nodes()), 0); - for (NodeId d : dst) is_dst[static_cast(d)] = 1; - } - const auto& hops = (*path)->hops(); - for (const auto& hop : hops) { - if (hop.size() != 1) invalid(route_at(i) + "a tunnel has one edge per hop"); - } - if ((*path)->src() != r.head) { - invalid(route_at(i) + "the path starts at " + std::to_string((*path)->src()) + ", not at head " + std::to_string(r.head)); - } - if (is_dst[static_cast((*path)->dst())] == 0) { - invalid(route_at(i) + "the path ends at " + std::to_string((*path)->dst()) + ", not at a destination"); - } - for (std::size_t h = 0; h + 1 < hops.size(); ++h) { - const NodeId v = edge_dst[static_cast(hops[h].front())]; - if (is_dst[static_cast(v)] != 0) { - invalid(route_at(i) + "the path meets destination " + std::to_string(v) + " before its end"); - } - } - if (r.weight < 0 || r.weight >= kDomainLimit) invalid(route_at(i) + "weight must be an integer in [0, 2^62)"); - Tunnel t; - t.index = entry.index; - t.head = r.head; - t.destination = (*path)->dst(); - t.route_cost = (*path)->cost(); - t.weight = r.weight; - auto& edges = t.edges.emplace(); - edges.reserve(hops.size()); - for (const auto& hop : hops) edges.push_back(hop.front()); - entry.tunnel = static_cast(p->tunnels.size()); - entry.cost = (*path)->cost(); - p->tunnels.push_back(std::move(t)); - } else { - // The plan in one pass: its route (the DAG's edges on the walks from the head to a - // destination, before any weight pruning: the walk check) and the route's cost. - Cost cost = kUnreachable; - auto plan = detail::make_route_plan(g, placement, basis, edge_values, r.head, dst, **dag, &cost); - if (plan.route.empty()) invalid(route_at(i) + "no walk from head " + std::to_string(r.head) + " to a destination"); - if (r.weight < 0 || r.weight >= kDomainLimit) invalid(route_at(i) + "weight must be an integer in [0, 2^62)"); - // Its own split context; the record bundle is the supplied DAG itself when nothing was - // pruned (shared, never copied). - const auto route_dag = plan.route.size() == detail::PredDAGBuilder::ascending(**dag).size() - ? *dag - : std::make_shared(detail::PredDAGBuilder::of_edges(g, plan.route)); - detail::SplitContext ctx; - ctx.plan = std::make_shared(std::move(plan)); - entry.context = static_cast(p->contexts.size()); - entry.bundle = route_dag; - entry.cost = cost; - p->contexts.push_back(std::move(ctx)); - } - p->entries.push_back(std::move(entry)); - } - // One split route of positive weight forwards in its pooled form (its plan's kernels). The - // roster: the heads with a route. - p->pooled = p->entries.size() == 1 && p->tunnels.empty() && p->entries.front().weight > 0; - p->lay_out(src, dst, std::nullopt); - return detail::ProgramAccess::make(std::move(data)); -} - -} // namespace netgraph::core diff --git a/src/kernels.cpp b/src/route_kernels.cpp similarity index 67% rename from src/kernels.cpp rename to src/route_kernels.cpp index 4790d51..c93adb6 100644 --- a/src/kernels.cpp +++ b/src/route_kernels.cpp @@ -8,7 +8,7 @@ lower quota floor(I*w/W) uses a 128-bit product, with inflow I, weight w < 2^62 and the exact 128-bit weight sum W (explicit weights are each below 2^62, not their sum). */ -#include "netgraph/core/detail/kernels.hpp" +#include "netgraph/core/detail/route_kernels.hpp" #include #include @@ -19,9 +19,9 @@ #include #include "netgraph/core/detail/enum_domain.hpp" -#include "netgraph/core/detail/flow_core.hpp" +#include "netgraph/core/detail/min_cost_flow.hpp" #include "netgraph/core/detail/int128.hpp" -#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/detail/route_builders.hpp" namespace netgraph::core::detail { @@ -89,47 +89,47 @@ void highest_averages(Amount total, std::span weights, std::span(at, num_roots); + sources = std::span(at, num_roots); at += num_roots; - w.root_pos = std::span(at, num_roots); - root_pos = w.root_pos; + w.source_positions = std::span(at, num_roots); + source_positions = w.source_positions; at += num_roots; - dsts = std::span(at, num_dsts); + destinations = std::span(at, num_dsts); at += num_dsts; - w.topo = std::span(at, positions); + w.topological_order = std::span(at, positions); at += positions; - w.out_begin = std::span(at, positions); + w.outgoing_begin = std::span(at, positions); at += positions; - w.out_end = std::span(at, positions); + w.outgoing_end = std::span(at, positions); at += positions; - w.head_pos = std::span(at, num_members); + w.edge_destination_positions = std::span(at, num_members); at += num_members; - w.terminal = std::span(reinterpret_cast(at), positions); - topo = w.topo; - out_begin = w.out_begin; - out_end = w.out_end; - head_pos = w.head_pos; - terminal = w.terminal; + w.is_destination = std::span(reinterpret_cast(at), positions); + topological_order = w.topological_order; + outgoing_begin = w.outgoing_begin; + outgoing_end = w.outgoing_end; + edge_destination_positions = w.edge_destination_positions; + is_destination = w.is_destination; return w; } -KernelPlan::Layout KernelPlan::layout(std::span roots_in, std::span destinations, +PreparedRoute::Layout PreparedRoute::layout(std::span roots_in, std::span destinations, std::size_t positions, std::size_t num_members) { const std::size_t words = 2 * roots_in.size() + destinations.size() + 3 * positions + num_members + (positions + 3) / 4; @@ -137,43 +137,42 @@ KernelPlan::Layout KernelPlan::layout(std::span roots_in, std::spa store_.swap(store); const Layout w = point(roots_in.size(), destinations.size(), positions, num_members); std::copy(roots_in.begin(), roots_in.end(), store_.begin()); - std::fill(w.root_pos.begin(), w.root_pos.end(), -1); + std::fill(w.source_positions.begin(), w.source_positions.end(), -1); std::copy(destinations.begin(), destinations.end(), store_.begin() + static_cast(2 * roots_in.size())); return w; } -KernelPlan::KernelPlan(const KernelPlan& other) - : placement(other.placement), admission(other.admission), route(other.route), members(other.members), +PreparedRoute::PreparedRoute(const PreparedRoute& other) + : allocation(other.allocation), support_edges(other.support_edges), forwarding_edges(other.forwarding_edges), weights(other.weights), store_(other.store_) { - (void)point(other.roots.size(), other.dsts.size(), other.topo.size(), other.head_pos.size()); + (void)point(other.sources.size(), other.destinations.size(), other.topological_order.size(), other.edge_destination_positions.size()); } -KernelPlan::KernelPlan(KernelPlan&& other) noexcept - : placement(other.placement), admission(other.admission), route(std::move(other.route)), - members(std::move(other.members)), weights(std::move(other.weights)), store_(std::move(other.store_)) { - (void)point(other.roots.size(), other.dsts.size(), other.topo.size(), other.head_pos.size()); +PreparedRoute::PreparedRoute(PreparedRoute&& other) noexcept + : allocation(other.allocation), support_edges(std::move(other.support_edges)), + forwarding_edges(std::move(other.forwarding_edges)), weights(std::move(other.weights)), store_(std::move(other.store_)) { + (void)point(other.sources.size(), other.destinations.size(), other.topological_order.size(), other.edge_destination_positions.size()); (void)other.point(0, 0, 0, 0); } -KernelPlan& KernelPlan::operator=(const KernelPlan& other) { +PreparedRoute& PreparedRoute::operator=(const PreparedRoute& other) { if (this != &other) { - KernelPlan copy(other); + PreparedRoute copy(other); *this = std::move(copy); } return *this; } -KernelPlan& KernelPlan::operator=(KernelPlan&& other) noexcept { +PreparedRoute& PreparedRoute::operator=(PreparedRoute&& other) noexcept { if (this != &other) { - placement = other.placement; - admission = other.admission; - route = std::move(other.route); - members = std::move(other.members); + allocation = other.allocation; + support_edges = std::move(other.support_edges); + forwarding_edges = std::move(other.forwarding_edges); weights = std::move(other.weights); - const std::size_t nr = other.roots.size(); - const std::size_t nd = other.dsts.size(); - const std::size_t np = other.topo.size(); - const std::size_t nm = other.head_pos.size(); + const std::size_t nr = other.sources.size(); + const std::size_t nd = other.destinations.size(); + const std::size_t np = other.topological_order.size(); + const std::size_t nm = other.edge_destination_positions.size(); store_ = std::move(other.store_); (void)point(nr, nd, np, nm); (void)other.point(0, 0, 0, 0); @@ -203,7 +202,7 @@ struct DagScratch { std::int32_t entry_end {0}; Cost dist {0}; }; - std::uint32_t epoch {0}; + std::uint32_t generation {0}; std::vector node; std::vector order; std::vector> stack; @@ -212,17 +211,17 @@ struct DagScratch { void begin(std::size_t n) { if (node.size() < n) node.resize(n); // strong guarantee; new slots carry stamp 0 - if (++epoch == 0) { + if (++generation == 0) { for (auto& v : node) v.stamp = 0; - epoch = 1; + generation = 1; } } - [[nodiscard]] bool seen(NodeId v) const noexcept { return node[static_cast(v)].stamp == epoch; } + [[nodiscard]] bool seen(NodeId v) const noexcept { return node[static_cast(v)].stamp == generation; } Node& at(NodeId v) noexcept { return node[static_cast(v)]; } void touch(NodeId v) noexcept { auto& x = at(v); x = Node {}; - x.stamp = epoch; + x.stamp = generation; } }; @@ -240,27 +239,27 @@ DagScratch& dag_scratch() { // node splits only after receiving all its inflow. // With `cost`, the forward pass computes minimum cost to each node from its parents' costs // (dynamic programming, DP), giving the minimum root-to-destination cost over members, or -// kUnreachable if none exist. Without `out` (route_cost), stop there and build no plan. +// kUnreachable if none exist. Without `out` (min_route_cost), stop there and build no plan. template -void build_split(const Graph& g, const PredDAG& dag, std::span roots, std::span dsts, - Keep keep, KernelPlan* out, Cost* cost) { +void build_split(const Graph& graph, const PredecessorDAG& dag, std::span roots, std::span destinations, + Keep keep, PreparedRoute* out, Cost* cost) { if (cost != nullptr) *cost = kUnreachable; const auto parents = dag.parents(); const auto via = dag.via_edges(); DagScratch& s = dag_scratch(); - s.begin(static_cast(g.num_nodes())); + s.begin(static_cast(graph.num_nodes())); // The DAG's sparse storage scattered into the per-node slots (O(member nodes)); a node outside - // it has no entries when first touched (a destination, src or a parent the search meets). + // it has no entries when first touched (a destination, source or a parent the search meets). { - const auto nodes = PredDAGBuilder::member_nodes(dag); - const auto offs = PredDAGBuilder::member_offsets(dag); + const auto nodes = PredecessorDAGBuilder::member_nodes(dag); + const auto offs = PredecessorDAGBuilder::member_offsets(dag); for (std::size_t i = 0; i < nodes.size(); ++i) { s.touch(nodes[i]); s.at(nodes[i]).entry_begin = offs[i]; s.at(nodes[i]).entry_end = offs[i + 1]; } } - for (NodeId d : dsts) { + for (NodeId d : destinations) { if (!s.seen(d)) s.touch(d); s.at(d).target = 1; } @@ -272,7 +271,7 @@ void build_split(const Graph& g, const PredDAG& dag, std::span roo // Backward DFS from the destinations, postorder (every node after all of its parents), over // the entries (u, e) that `keep` accepts and whose parent is not a destination. s.order.clear(); - for (NodeId d : dsts) { + for (NodeId d : destinations) { if (s.at(d).state != 0) continue; s.at(d).state = 1; s.stack.clear(); @@ -300,7 +299,7 @@ void build_split(const Graph& g, const PredDAG& dag, std::span roo } } // Forward over the postorder, with the cost DP when asked. - const auto edge_cost = g.cost(); + const auto edge_cost = graph.edge_costs(); Cost best = kUnreachable; for (NodeId r : roots) { if (s.at(r).state == 2) { @@ -331,37 +330,37 @@ void build_split(const Graph& g, const PredDAG& dag, std::span roo } if (cost != nullptr) *cost = best; if (out == nullptr) return; - KernelPlan& plan = *out; - plan.members.clear(); + PreparedRoute& plan = *out; + plan.forwarding_edges.clear(); // Members, ascending: the DAG's edges kept, from a reached tail (not a destination) to a head // that reaches a destination. - const auto edge_src = g.edge_src(); - const auto edge_dst = g.edge_dst(); + const auto edge_sources = graph.edge_sources(); + const auto edge_destinations = graph.edge_destinations(); // Size vectors to known bounds (DAG edges here, reached nodes below), then write by index // to avoid push_back overhead in these loops. - const auto asc = PredDAGBuilder::ascending(dag); + const auto asc = PredecessorDAGBuilder::ascending(dag); const std::size_t bound = asc.size(); - plan.members.resize(bound); + plan.forwarding_edges.resize(bound); s.member_tail.resize(bound); s.member_head.resize(bound); std::size_t n_members = 0; for (EdgeId e : asc) { const auto ei = static_cast(e); - const NodeId u = edge_src[ei]; - const NodeId v = edge_dst[ei]; + const NodeId u = edge_sources[ei]; + const NodeId v = edge_destinations[ei]; if (!s.seen(u) || s.at(u).fwd == 0 || s.at(u).target != 0) continue; if (!s.seen(v) || s.at(v).state != 2 || !keep(e)) continue; - plan.members[n_members] = e; + plan.forwarding_edges[n_members] = e; s.member_tail[n_members] = u; s.member_head[n_members] = v; ++n_members; } - plan.members.resize(n_members); + plan.forwarding_edges.resize(n_members); s.member_tail.resize(n_members); s.member_head.resize(n_members); const std::size_t num_members = n_members; if (num_members == 0) { - (void)plan.layout(roots, dsts, 0, 0); // every root without a member + (void)plan.layout(roots, destinations, 0, 0); // every root without a member return; } std::int32_t num_pos = 0; @@ -378,64 +377,63 @@ void build_split(const Graph& g, const PredDAG& dag, std::span roo ++nt.count; } const auto P = static_cast(num_pos); - const KernelPlan::Layout w = plan.layout(roots, dsts, P, num_members); + const PreparedRoute::Layout w = plan.layout(roots, destinations, P, num_members); std::size_t pos = 0; for (NodeId v : s.order) { const auto& nv = s.at(v); if (nv.fwd == 0) continue; - w.topo[pos] = v; - w.terminal[pos] = nv.target; + w.topological_order[pos] = v; + w.is_destination[pos] = nv.target; const std::int32_t b = nv.count == 0 ? 0 : nv.first; - w.out_begin[pos] = b; - w.out_end[pos] = b + nv.count; + w.outgoing_begin[pos] = b; + w.outgoing_end[pos] = b + nv.count; ++pos; } // Positions follow the postorder (every node after its parents; the DFS rejected cycles), so a // member's tail precedes its head. - for (std::size_t m = 0; m < num_members; ++m) w.head_pos[m] = s.at(s.member_head[m]).position; + for (std::size_t m = 0; m < num_members; ++m) w.edge_destination_positions[m] = s.at(s.member_head[m]).position; // A root with a member has a position (it reaches a destination and is reached); a root // without one keeps -1. for (std::size_t i = 0; i < roots.size(); ++i) { const auto& nr = s.at(roots[i]); - if (nr.fwd != 0 && nr.target == 0) w.root_pos[i] = nr.position; + if (nr.fwd != 0 && nr.target == 0) w.source_positions[i] = nr.position; } } } // namespace -std::vector prune(const Graph& g, const PredDAG& dag, NodeId src, std::span dsts, - const Eligibility* elig) { - KernelPlan plan; - build_split(g, dag, {&src, 1}, dsts, [&](EdgeId e) { return elig == nullptr || elig->edge_ok(e); }, &plan, nullptr); - return std::move(plan.members); +std::vector prune(const Graph& graph, const PredecessorDAG& dag, NodeId source, std::span destinations, + const Eligibility* eligibility) { + PreparedRoute plan; + build_split(graph, dag, {&source, 1}, destinations, [&](EdgeId e) { return eligibility == nullptr || eligibility->allows_edge(e); }, &plan, nullptr); + return std::move(plan.forwarding_edges); } -Cost route_cost(const Graph& g, const PredDAG& route, NodeId src, std::span dsts) { +Cost min_route_cost(const Graph& graph, const PredecessorDAG& route, NodeId source, std::span destinations) { Cost cost = kUnreachable; - build_split(g, route, {&src, 1}, dsts, [](EdgeId) { return true; }, nullptr, &cost); + build_split(graph, route, {&source, 1}, destinations, [](EdgeId) { return true; }, nullptr, &cost); return cost; } namespace { -KernelPlan plan_of(const Graph& g, FlowPlacement placement, Admission admission, const WeightSource& weights, - std::span roots, std::span dsts, const PredDAG& route, Cost* cost) { - check_kernel(placement, admission); - const auto edges = PredDAGBuilder::ascending(route); - const bool weighted = placement == FlowPlacement::Weighted; +PreparedRoute plan_of(const Graph& graph, RouteAllocation allocation, Admission admission, const WeightSource& weights, + std::span roots, std::span destinations, const PredecessorDAG& route, Cost* cost) { + check_kernel(allocation, admission); + const auto edges = PredecessorDAGBuilder::ascending(route); + const bool weighted = allocation == RouteAllocation::Weighted; const bool by_view = weighted && weights.basis == WeightBasis::ResidualSnapshot; if (by_view && weights.values.size() != edges.size()) { - throw std::logic_error("make_plan: the creation view is not route-aligned"); + throw std::logic_error("prepare_route: the creation view is not route-aligned"); } if (weighted && weights.basis == WeightBasis::Explicit && - weights.values.size() != static_cast(g.num_edges())) { - throw std::logic_error("make_plan: the explicit weights are not edge-aligned"); + weights.values.size() != static_cast(graph.num_edges())) { + throw std::logic_error("prepare_route: the explicit weights are not edge-aligned"); } - const auto capacity = g.capacity_units(); - KernelPlan plan; - plan.placement = placement; - plan.admission = admission; - plan.route.assign(edges.begin(), edges.end()); + const auto capacity = graph.edge_capacity_units(); + PreparedRoute plan; + plan.allocation = allocation; + plan.support_edges.assign(edges.begin(), edges.end()); // A route edge's Weighted weight: its static capacity, its explicit weight (0 on an edge of // capacity 0) or its creation view (the route ascends: a binary search). auto weight = [&](EdgeId e) -> Amount { @@ -448,41 +446,40 @@ KernelPlan plan_of(const Graph& g, FlowPlacement placement, Admission admission, } return 0; }; - // Membership: MaxFlow and EqualBalanced every route edge (an edge of capacity 0 is a member + // Membership: Optimized and Equal every route edge (an edge of capacity 0 is a member // that carries nothing), Weighted the edges of positive weight. auto member = [&](EdgeId e) { return !weighted || weight(e) >= 1; }; - build_split(g, route, roots, dsts, member, &plan, cost); + build_split(graph, route, roots, destinations, member, &plan, cost); // The route's cost is the members' only when every route edge is a member. - if (cost != nullptr && plan.members.size() != plan.route.size()) *cost = route_cost(g, route, roots[0], dsts); + if (cost != nullptr && plan.forwarding_edges.size() != plan.support_edges.size()) *cost = min_route_cost(graph, route, roots[0], destinations); if (weighted) { - plan.weights.reserve(plan.members.size()); - for (EdgeId e : plan.members) plan.weights.push_back(weight(e)); + plan.weights.reserve(plan.forwarding_edges.size()); + for (EdgeId e : plan.forwarding_edges) plan.weights.push_back(weight(e)); } return plan; } } // namespace -KernelPlan make_plan(const Graph& g, FlowPlacement placement, Admission admission, const WeightSource& weights, - NodeId src, std::span dsts, const PredDAG& route, Cost* cost) { - return plan_of(g, placement, admission, weights, {&src, 1}, dsts, route, cost); +PreparedRoute prepare_route(const Graph& graph, RouteAllocation allocation, Admission admission, const WeightSource& weights, + NodeId source, std::span destinations, const PredecessorDAG& route, Cost* cost) { + return plan_of(graph, allocation, admission, weights, {&source, 1}, destinations, route, cost); } -KernelPlan make_plan(const Graph& g, FlowPlacement placement, Admission admission, const WeightSource& weights, - std::span roots, std::span dsts, const PredDAG& route) { - return plan_of(g, placement, admission, weights, roots, dsts, route, nullptr); +PreparedRoute prepare_route(const Graph& graph, RouteAllocation allocation, Admission admission, const WeightSource& weights, + std::span roots, std::span destinations, const PredecessorDAG& route) { + return plan_of(graph, allocation, admission, weights, roots, destinations, route, nullptr); } -KernelPlan make_route_plan(const Graph& g, FlowPlacement placement, WeightBasis basis, std::span edge_values, - NodeId src, std::span dsts, const PredDAG& dag, Cost* cost) { - check_kernel(placement, Admission::Lossless); - const auto capacity = g.capacity_units(); - KernelPlan plan; - plan.placement = placement; - plan.admission = Admission::Lossless; - build_split(g, dag, {&src, 1}, dsts, [](EdgeId) { return true; }, &plan, cost); - plan.route = plan.members; - if (placement != FlowPlacement::Weighted) return plan; +PreparedRoute prepare_supplied_route(const Graph& graph, RouteAllocation allocation, WeightBasis basis, std::span edge_values, + NodeId source, std::span destinations, const PredecessorDAG& dag, Cost* cost) { + check_kernel(allocation, Admission::Lossless); + const auto capacity = graph.edge_capacity_units(); + PreparedRoute plan; + plan.allocation = allocation; + build_split(graph, dag, {&source, 1}, destinations, [](EdgeId) { return true; }, &plan, cost); + plan.support_edges = plan.forwarding_edges; + if (allocation != RouteAllocation::Weighted) return plan; auto weight = [&](EdgeId e) -> Amount { const auto ei = static_cast(e); switch (basis) { @@ -494,46 +491,44 @@ KernelPlan make_route_plan(const Graph& g, FlowPlacement placement, WeightBasis }; // When every route edge has a positive weight the members are the route itself; otherwise a // second pass keeps the walks over the positive ones (the route and its cost stay). - if (std::all_of(plan.route.begin(), plan.route.end(), [&](EdgeId e) { return weight(e) >= 1; })) { - plan.weights.reserve(plan.members.size()); - for (EdgeId e : plan.members) plan.weights.push_back(weight(e)); + if (std::all_of(plan.support_edges.begin(), plan.support_edges.end(), [&](EdgeId e) { return weight(e) >= 1; })) { + plan.weights.reserve(plan.forwarding_edges.size()); + for (EdgeId e : plan.forwarding_edges) plan.weights.push_back(weight(e)); return plan; } - KernelPlan weighted; - build_split(g, dag, {&src, 1}, dsts, [&](EdgeId e) { return weight(e) >= 1; }, &weighted, nullptr); - weighted.placement = placement; - weighted.admission = Admission::Lossless; - weighted.route = std::move(plan.route); - weighted.weights.reserve(weighted.members.size()); - for (EdgeId e : weighted.members) weighted.weights.push_back(weight(e)); + PreparedRoute weighted; + build_split(graph, dag, {&source, 1}, destinations, [&](EdgeId e) { return weight(e) >= 1; }, &weighted, nullptr); + weighted.allocation = allocation; + weighted.support_edges = std::move(plan.support_edges); + weighted.weights.reserve(weighted.forwarding_edges.size()); + for (EdgeId e : weighted.forwarding_edges) weighted.weights.push_back(weight(e)); return weighted; } -KernelPlan restrict_plan(const Graph& g, const KernelPlan& plan, std::span roots, - std::span dsts, const Eligibility* elig) { - KernelPlan out; - out.placement = plan.placement; - out.admission = plan.admission; - const PredDAG members = PredDAGBuilder::of_edges(g, plan.members); - build_split(g, members, roots, dsts, [&](EdgeId e) { return elig == nullptr || elig->edge_ok(e); }, &out, nullptr); - out.route = plan.route; - if (plan.placement == FlowPlacement::Weighted) { +PreparedRoute restrict_prepared_route(const Graph& graph, const PreparedRoute& plan, std::span roots, + std::span destinations, const Eligibility* eligibility) { + PreparedRoute out; + out.allocation = plan.allocation; + const PredecessorDAG members = PredecessorDAGBuilder::of_edges(graph, plan.forwarding_edges); + build_split(graph, members, roots, destinations, [&](EdgeId e) { return eligibility == nullptr || eligibility->allows_edge(e); }, &out, nullptr); + out.support_edges = plan.support_edges; + if (plan.allocation == RouteAllocation::Weighted) { // The kept members' frozen weights (both member lists ascend). - out.weights.resize(out.members.size()); + out.weights.resize(out.forwarding_edges.size()); std::size_t k = 0; - for (std::size_t m = 0; m < out.members.size(); ++m) { - while (plan.members[k] != out.members[m]) ++k; + for (std::size_t m = 0; m < out.forwarding_edges.size(); ++m) { + while (plan.forwarding_edges[k] != out.forwarding_edges[m]) ++k; out.weights[m] = plan.weights[k]; } } return out; } -// ---------------------------------------------------------------- CostOnly creation +// ---------------------------------------------------------------- ShortestPaths creation namespace { -// Per-thread state of cost_only_creation. Per node (by NodeId) a slot valid only under the +// Per-thread state of prepare_shortest_paths. Per node (by NodeId) a slot valid only under the // current epoch (DagScratch's pattern: nothing is cleared between calls except on stamp // wraparound, a call that throws leaves stale slots behind an old epoch, and the one array of // slots grows whole or not at all); every other buffer is indexed by the reached nodes' local @@ -548,7 +543,7 @@ struct CreationScratch { std::int32_t lo {0}; // the node's support out-edges: support[lo, hi) std::int32_t hi {0}; }; - std::uint32_t epoch {0}; + std::uint32_t generation {0}; std::vector node; std::vector reached; // the walk's nodes (its queue), then ascending std::vector route; // ascending @@ -568,18 +563,18 @@ struct CreationScratch { void begin(std::size_t n) { if (node.size() < n) node.resize(n); // strong guarantee; new slots carry stamp 0 - if (++epoch == 0) { + if (++generation == 0) { for (auto& v : node) v.stamp = 0; - epoch = 1; + generation = 1; } } Node& at(NodeId v) noexcept { return node[static_cast(v)]; } // The slot of v, reset on its first use in this call. Node& touch(NodeId v) noexcept { auto& x = at(v); - if (x.stamp != epoch) { + if (x.stamp != generation) { x = Node {}; - x.stamp = epoch; + x.stamp = generation; } return x; } @@ -627,33 +622,33 @@ std::size_t lower_bound_from(std::span a, std::size_t hint, EdgeId a.begin()); } -std::optional cost_only_creation(const Graph& g, const std::shared_ptr& support, - NodeId src, std::span dsts, - const PathSelection& selection, PriorityFn view, - FlowPlacement placement, Admission admission, +std::optional prepare_shortest_paths(const Graph& graph, const std::shared_ptr& support, + NodeId source, std::span destinations, + const RouteChoice& choice, PriorityReader view, + RouteAllocation allocation, Admission admission, const WeightSource& weights) { - const bool weighted = placement == FlowPlacement::Weighted; - if (selection.single_path() || (weighted && weights.basis == WeightBasis::ResidualSnapshot)) return std::nullopt; - check_kernel(placement, admission); + const bool weighted = allocation == RouteAllocation::Weighted; + if (choice.single_path() || (weighted && weights.basis == WeightBasis::ResidualSnapshot)) return std::nullopt; + check_kernel(allocation, admission); // A Weighted route edge's weight (static membership: Capacity or Explicit). auto weight = [&](EdgeId e) -> Amount { const auto ei = static_cast(e); - const Amount cap = g.capacity_units()[ei]; + const Amount cap = graph.edge_capacity_units()[ei]; if (weights.basis == WeightBasis::Explicit) return cap >= 1 ? weights.values[ei] : 0; return cap; }; - const auto sup = PredDAGBuilder::ascending(*support); - const auto row = g.row_offsets(); - const auto edst = g.edge_dst(); - const auto edge_cost = g.cost(); + const auto sup = PredecessorDAGBuilder::ascending(*support); + const auto row = graph.outgoing_offsets(); + const auto edst = graph.edge_destinations(); + const auto edge_cost = graph.edge_costs(); CreationScratch& s = creation_scratch(); - s.begin(static_cast(g.num_nodes())); - for (NodeId d : dsts) s.touch(d).target = 1; - // support_route's walk over the support from src: every reached node keeps its support + s.begin(static_cast(graph.num_nodes())); + for (NodeId d : destinations) s.touch(d).target = 1; + // support_route's walk over the support from source: every reached node keeps its support // out-edges as one range (EdgeIds rank edges by source first: one tail's edges are consecutive). s.reached.clear(); - s.touch(src).reached = 1; - s.reached.push_back(src); + s.touch(source).reached = 1; + s.reached.push_back(source); bool any_target = false; std::size_t m = 0; std::size_t hint = 0; @@ -678,8 +673,8 @@ std::optional cost_only_creation(const Graph& g, const std::sh } if (!any_target || m == 0) return std::nullopt; // The route in ascending EdgeId: the reached nodes' ranges in ascending NodeId (ascending in the - // support, checked), each with Collapse when multi_edge is false (support_route's: one member per - // (u, v) by select_adjacency on the view), every route edge with its tail's local index. A + // support, checked), each with Collapse when parallel_edges is false (support_route's: one member per + // (u, v) by replaces() on the view), every route edge with its tail's local index. A // destination with route edges, or a route edge that is no member candidate, means build_split // would not keep the whole route: the caller's path then runs. std::sort(s.reached.begin(), s.reached.end()); @@ -689,8 +684,8 @@ std::optional cost_only_creation(const Graph& g, const std::sh s.tail.resize(m); s.first.resize(r); s.count.resize(r); - const bool collapse = !selection.multi_edge; - const bool prefer = selection.tie_break == EdgeTieBreak::PreferHigherPriority; + const bool collapse = !choice.parallel_edges; + const bool prefer = choice.prefers_score(); std::size_t w = 0; std::int32_t prev_hi = 0; for (std::size_t i = 0; i < r; ++i) { @@ -706,7 +701,7 @@ std::optional cost_only_creation(const Graph& g, const std::sh if (collapse) { const NodeId v = edst[static_cast(best)]; for (; j < nu.hi && edst[static_cast(sup[static_cast(j)])] == v; ++j) { - if (replaces(g, sup[static_cast(j)], best, prefer, view)) best = sup[static_cast(j)]; + if (replaces(graph, sup[static_cast(j)], best, prefer, view)) best = sup[static_cast(j)]; } } if (weighted && weight(best) < 1) return std::nullopt; @@ -745,7 +740,7 @@ std::optional cost_only_creation(const Graph& g, const std::sh // entry and no position there, so it is skipped. s.state.assign(r, 0); s.order.clear(); - for (NodeId d : dsts) { + for (NodeId d : destinations) { const auto& nd = s.at(d); if (nd.reached == 0) continue; const auto di = nd.local; @@ -772,12 +767,12 @@ std::optional cost_only_creation(const Graph& g, const std::sh } } } - const auto src_local = s.at(src).local; + const auto src_local = s.at(source).local; if (s.order.size() != r || s.order.front() != src_local) return std::nullopt; s.position.resize(r); for (std::size_t p = 0; p < r; ++p) s.position[static_cast(s.order[p])] = static_cast(p); - // make_plan's cost: the minimum walk cost from src to a destination over the members, by the - // order (every member is a route edge, so route_cost is not called). + // prepare_route's cost: the minimum walk cost from source to a destination over the members, by the + // order (every member is a route edge, so min_route_cost is not called). s.dist.resize(r); Cost best = kUnreachable; for (const auto v : s.order) { @@ -793,32 +788,31 @@ std::optional cost_only_creation(const Graph& g, const std::sh s.dist[vi] = dv; if (s.at(s.reached[vi]).target != 0) best = std::min(best, dv); } - CreationProducts out; - out.cost = best; - KernelPlan& plan = out.plan; - plan.placement = placement; - plan.admission = admission; - plan.route.assign(route.begin(), route.end()); - plan.members.assign(route.begin(), route.end()); + PreparedRouteResult out; + out.min_route_cost = best; + PreparedRoute& plan = out.prepared_route; + plan.allocation = allocation; + plan.support_edges.assign(route.begin(), route.end()); + plan.forwarding_edges.assign(route.begin(), route.end()); if (weighted) { plan.weights.resize(route.size()); for (std::size_t k = 0; k < route.size(); ++k) plan.weights[k] = weight(route[k]); } - const KernelPlan::Layout lay = plan.layout({&src, 1}, dsts, r, route.size()); - lay.root_pos[0] = 0; // src comes first in the order + const PreparedRoute::Layout lay = plan.layout({&source, 1}, destinations, r, route.size()); + lay.source_positions[0] = 0; // source comes first in the order for (std::size_t p = 0; p < r; ++p) { const auto v = static_cast(s.order[p]); const NodeId x = s.reached[v]; - lay.topo[p] = x; - lay.terminal[p] = s.at(x).target; + lay.topological_order[p] = x; + lay.is_destination[p] = s.at(x).target; const std::int32_t b = s.count[v] == 0 ? 0 : s.first[v]; - lay.out_begin[p] = b; - lay.out_end[p] = b + s.count[v]; + lay.outgoing_begin[p] = b; + lay.outgoing_end[p] = b + s.count[v]; } - for (std::size_t k = 0; k < route.size(); ++k) lay.head_pos[k] = s.position[static_cast(s.head[k])]; - // The record bundle: the support itself when the route is all of it (bundle_of's share). + for (std::size_t k = 0; k < route.size(); ++k) lay.edge_destination_positions[k] = s.position[static_cast(s.head[k])]; + // The record route: the support itself when the route is all of it (record_route_of's share). if (route.size() == sup.size()) { - out.bundle = support; + out.route = support; } else { std::vector nodes(children); std::vector offsets(children + 1); @@ -832,8 +826,8 @@ std::optional cost_only_creation(const Graph& g, const std::sh std::vector parents(w); for (std::size_t k = 0; k < w; ++k) parents[k] = s.reached[static_cast(s.parent[k])]; std::vector asc(route.begin(), route.end()); - out.bundle = std::make_shared(PredDAGBuilder::of_parts( - g, std::move(nodes), std::move(offsets), std::move(parents), std::move(via), std::move(asc))); + out.route = std::make_shared(PredecessorDAGBuilder::of_parts( + graph, std::move(nodes), std::move(offsets), std::move(parents), std::move(via), std::move(asc))); } return out; } @@ -844,12 +838,12 @@ namespace { // The view summed over the roots' out-members, and at most the number of roots before the first // root without a member: no larger total fits (that root would receive a share with no route). -Amount total_bound(const KernelPlan& plan, std::span view_m) { +Amount total_bound(const PreparedRoute& plan, std::span view_m) { Amount hi = 0; - for (std::size_t i = 0; i < plan.roots.size(); ++i) { - const auto p = plan.root_pos[i]; + for (std::size_t i = 0; i < plan.sources.size(); ++i) { + const auto p = plan.source_positions[i]; if (p < 0) return std::min(hi, static_cast(i)); - for (auto m = plan.out_begin[static_cast(p)]; m < plan.out_end[static_cast(p)]; ++m) { + for (auto m = plan.outgoing_begin[static_cast(p)]; m < plan.outgoing_end[static_cast(p)]; ++m) { hi += view_m[static_cast(m)]; } } @@ -858,19 +852,19 @@ Amount total_bound(const KernelPlan& plan, std::span view_m) { } // namespace -bool allocate(const KernelPlan& plan, Amount total, std::span out, std::span limit) { +bool allocate(const PreparedRoute& plan, Amount total, std::span out, std::span limit) { std::fill(out.begin(), out.end(), 0); if (total == 0) return true; - const bool weighted = plan.placement == FlowPlacement::Weighted; + const bool weighted = plan.allocation == RouteAllocation::Weighted; const bool limited = !limit.empty(); thread_local std::vector inflow; - inflow.assign(plan.topo.size(), 0); + inflow.assign(plan.topological_order.size(), 0); // The roots' round-robin shares (only the positive ones are visited). A positive share of a // root without a member has no route; every caller stays at or below total_bound, which no such // share reaches. bool routed = true; - round_robin(total, plan.roots.size(), [&](std::size_t i, Amount x) { - const auto p = plan.root_pos[i]; + round_robin(total, plan.sources.size(), [&](std::size_t i, Amount x) { + const auto p = plan.source_positions[i]; if (p < 0) { routed = false; return false; @@ -879,18 +873,18 @@ bool allocate(const KernelPlan& plan, Amount total, std::span out, std:: return true; }); if (!routed) throw std::logic_error("allocate: a root without a member receives a share"); - for (std::size_t p = 0; p < plan.topo.size(); ++p) { + for (std::size_t p = 0; p < plan.topological_order.size(); ++p) { const Amount amount = inflow[p]; - if (amount == 0 || plan.terminal[p] != 0) continue; - const auto b = static_cast(plan.out_begin[p]); - const auto e = static_cast(plan.out_end[p]); + if (amount == 0 || plan.is_destination[p] != 0) continue; + const auto b = static_cast(plan.outgoing_begin[p]); + const auto e = static_cast(plan.outgoing_end[p]); const std::size_t k = e - b; if (weighted) { highest_averages(amount, std::span(plan.weights.data() + b, k), out.subspan(b, k)); for (std::size_t m = b; m < e; ++m) { const Amount x = out[m]; if (limited && x > limit[m]) return false; - inflow[static_cast(plan.head_pos[m])] += x; + inflow[static_cast(plan.edge_destination_positions[m])] += x; } } else { // Only the members with a positive share are written and visited (the rest stay 0). @@ -902,7 +896,7 @@ bool allocate(const KernelPlan& plan, Amount total, std::span out, std:: return false; } out[m] = x; - inflow[static_cast(plan.head_pos[m])] += x; + inflow[static_cast(plan.edge_destination_positions[m])] += x; return true; }); if (!fits) return false; @@ -917,18 +911,18 @@ namespace { // under the plan's split (1/H at each of H roots, 1/k per round-robin member, w/W per Weighted // member), then min over members of view / f. It only chooses the first probe of the exact // search below (approximate arithmetic may choose probes, nothing else). -double estimate_t_max(const KernelPlan& plan, std::span view_m) { +double estimate_max_lossless_offer(const PreparedRoute& plan, std::span view_m) { thread_local std::vector f; - f.assign(plan.topo.size(), 0.0); - for (auto p : plan.root_pos) { - if (p >= 0) f[static_cast(p)] += 1.0 / static_cast(plan.roots.size()); + f.assign(plan.topological_order.size(), 0.0); + for (auto p : plan.source_positions) { + if (p >= 0) f[static_cast(p)] += 1.0 / static_cast(plan.sources.size()); } - const bool weighted = plan.placement == FlowPlacement::Weighted; + const bool weighted = plan.allocation == RouteAllocation::Weighted; double best = std::numeric_limits::infinity(); - for (std::size_t p = 0; p < plan.topo.size(); ++p) { - if (f[p] == 0.0 || plan.terminal[p] != 0) continue; - const auto b = static_cast(plan.out_begin[p]); - const auto e = static_cast(plan.out_end[p]); + for (std::size_t p = 0; p < plan.topological_order.size(); ++p) { + if (f[p] == 0.0 || plan.is_destination[p] != 0) continue; + const auto b = static_cast(plan.outgoing_begin[p]); + const auto e = static_cast(plan.outgoing_end[p]); double wsum = 0.0; if (weighted) { for (std::size_t m = b; m < e; ++m) wsum += static_cast(plan.weights[m]); @@ -938,7 +932,7 @@ double estimate_t_max(const KernelPlan& plan, std::span view_m) { : f[p] / static_cast(e - b); if (share <= 0.0) continue; best = std::min(best, static_cast(view_m[m]) / share); - f[static_cast(plan.head_pos[m])] += share; + f[static_cast(plan.edge_destination_positions[m])] += share; } } return best; @@ -955,7 +949,7 @@ constexpr std::int32_t kProbeBudget = 62; // a plain bisection over units below // fit within kProbeBudget = 62, counting probes already made. Check the budget on return. // Swap each fitting allocation into `best` when supplied; on return it holds alloc(result) // whenever result is greater than the original lo. -Amount largest_fit(const KernelPlan& plan, std::span view_m, Amount lo, Amount hi, +Amount largest_fit(const PreparedRoute& plan, std::span view_m, Amount lo, Amount hi, std::vector& probe, std::vector* best, std::int32_t& probes) { auto fits = [&](Amount t) { ++probes; @@ -969,7 +963,7 @@ Amount largest_fit(const KernelPlan& plan, std::span view_m, Amoun const std::int32_t start = probes; auto spare = [&](Amount a, Amount b) { return kProbeBudget - (probes - start) - bisection_steps(a, b) - 1; }; if (hi - lo > 2 && spare(lo, hi) >= 0) { - const double est = estimate_t_max(plan, view_m); + const double est = estimate_max_lossless_offer(plan, view_m); Amount t = lo + 1; if (est > static_cast(lo) + 1.0) { t = est >= static_cast(hi) - 1.0 ? hi - 1 : static_cast(est); @@ -1019,60 +1013,60 @@ std::vector& probe_scratch(std::size_t size) { } // namespace -TMax t_max(const KernelPlan& plan, std::span view_m) { - TMax out; - if (plan.members.empty()) return out; +LosslessBound max_lossless_offer(const PreparedRoute& plan, std::span view_m) { + LosslessBound out; + if (plan.forwarding_edges.empty()) return out; const Amount hi = total_bound(plan, view_m); - auto& probe = probe_scratch(plan.members.size()); + auto& probe = probe_scratch(plan.forwarding_edges.size()); // alloc(hi) fits only when every member can take it; else search below hi (the search's // probes are counted, this one is not, like the target probe of a Lossless step). if (allocate(plan, hi, probe, view_m)) { out.value = hi; return out; } - out.value = largest_fit(plan, view_m, 0, hi, probe, nullptr, out.iterations); + out.value = largest_fit(plan, view_m, 0, hi, probe, nullptr, out.probes); return out; } -LosslessStep lossless_step(const Graph& g, const KernelPlan& plan, Amount total, +LosslessStep lossless_step(const Graph& graph, const PreparedRoute& plan, Amount total, std::span view_m, std::span own_m, std::optional request) { LosslessStep out; - if (plan.placement == FlowPlacement::MaxFlow) { + if (plan.allocation == RouteAllocation::Optimized) { // A fresh solve on the replacement view (own_m is part of view_m, so the flow's own // allocation is cancellable; other owners are not in the view). const std::optional cap = request.has_value() ? std::optional(total + *request) : std::nullopt; - auto r = solve_subset(g, plan.members, view_m, plan.roots, plan.dsts, cap); - if (r.placed < total) throw std::logic_error("MaxFlow kernel: the replacement solve lost committed flow"); - out.total = r.placed; - out.alloc = std::move(r.flows); - out.cost_distribution = std::move(r.cost_distribution); + auto r = solve_subset(graph, plan.forwarding_edges, view_m, plan.sources, plan.destinations, cap); + if (r.flow_value < total) throw std::logic_error("Optimized kernel: the replacement solve lost committed flow"); + out.admitted = r.flow_value; + out.edge_flows = std::move(r.edge_flows); + out.marginal_cost_curve = std::move(r.marginal_cost_curve); return out; } - if (plan.members.empty()) { - out.alloc.assign(own_m.begin(), own_m.end()); - out.total = total; + if (plan.forwarding_edges.empty()) { + out.edge_flows.assign(own_m.begin(), own_m.end()); + out.admitted = total; return out; } const Amount hi = total_bound(plan, view_m); const Amount target = request.has_value() ? std::min(total + *request, hi) : hi; if (target <= total) { - out.total = total; - out.alloc.assign(own_m.begin(), own_m.end()); + out.admitted = total; + out.edge_flows.assign(own_m.begin(), own_m.end()); return out; } - out.alloc.assign(plan.members.size(), 0); - if (allocate(plan, target, out.alloc, view_m)) { - out.total = target; + out.edge_flows.assign(plan.forwarding_edges.size(), 0); + if (allocate(plan, target, out.edge_flows, view_m)) { + out.admitted = target; return out; } // T_max in [total, target - 1]: alloc(total) = own_m fits, alloc(target) does not. Every // fitting probe leaves its allocation in out.alloc, so a result above total needs no further // evaluation. - auto& probe = probe_scratch(plan.members.size()); - const Amount lo = largest_fit(plan, view_m, total, target, probe, &out.alloc, out.iterations); - out.total = lo; - if (lo == total) out.alloc.assign(own_m.begin(), own_m.end()); + auto& probe = probe_scratch(plan.forwarding_edges.size()); + const Amount lo = largest_fit(plan, view_m, total, target, probe, &out.edge_flows, out.probes); + out.admitted = lo; + if (lo == total) out.edge_flows.assign(own_m.begin(), own_m.end()); return out; } @@ -1081,44 +1075,44 @@ namespace { // The per-root bookkeeping of an attributed forwarding (per thread): each position's arrivals as // a list of (root, amount) entries, and a dense per-root accumulator with its touched roots. struct Arrivals { - std::vector head; // per position: its first entry, -1 none - std::vector root; // per entry + std::vector arrival_list_heads; // per position: its first entry, -1 none + std::vector source_indices; // per entry std::vector amount; std::vector next; - std::vector acc; // per root + std::vector source_totals; // per root std::vector touched; - std::vector weight; // per touched root + std::vector source_weights; // per touched root std::vector row; std::vector arrive; std::vector keep; void begin(std::size_t positions, std::size_t roots) { - head.assign(positions, -1); - root.clear(); + arrival_list_heads.assign(positions, -1); + source_indices.clear(); amount.clear(); next.clear(); - acc.assign(roots, 0); + source_totals.assign(roots, 0); } void push(std::int32_t p, std::int32_t r, Amount x) { - root.push_back(r); + source_indices.push_back(r); amount.push_back(x); - next.push_back(head[static_cast(p)]); - head[static_cast(p)] = static_cast(root.size()) - 1; + next.push_back(arrival_list_heads[static_cast(p)]); + arrival_list_heads[static_cast(p)] = static_cast(source_indices.size()) - 1; } // The roots arriving at position p (plus `own`, a root injecting there, when >= 0) with their // amounts in `acc`, in ascending root order. void gather(std::int32_t p, std::int32_t own) { touched.clear(); - for (auto k = head[static_cast(p)]; k >= 0; k = next[static_cast(k)]) { - const auto r = static_cast(root[static_cast(k)]); - if (acc[r] == 0) touched.push_back(static_cast(r)); - acc[r] += amount[static_cast(k)]; + for (auto k = arrival_list_heads[static_cast(p)]; k >= 0; k = next[static_cast(k)]) { + const auto r = static_cast(source_indices[static_cast(k)]); + if (source_totals[r] == 0) touched.push_back(static_cast(r)); + source_totals[r] += amount[static_cast(k)]; } - if (own >= 0 && acc[static_cast(own)] == 0) touched.push_back(own); + if (own >= 0 && source_totals[static_cast(own)] == 0) touched.push_back(own); std::sort(touched.begin(), touched.end()); } void clear_touched() { - for (auto r : touched) acc[static_cast(r)] = 0; + for (auto r : touched) source_totals[static_cast(r)] = 0; } }; @@ -1134,26 +1128,26 @@ namespace { // The forwarding, compiled with and without the attribution (kAttribute: attr is non-null), so the // one-source and Pinned calls carry none of its code. template -Forwarding forward_on(const KernelPlan& plan, const Injection& in, std::span w_m, Attribution* attr) { - const std::size_t H = plan.roots.size(); - const std::size_t P = plan.topo.size(); +Forwarding forward_on(const PreparedRoute& plan, const Injection& in, std::span w_m, Attribution* attr) { + const std::size_t H = plan.sources.size(); + const std::size_t P = plan.topological_order.size(); const bool capped = !w_m.empty(); if (!in.first_hop && in.per_root.size() != H) throw std::logic_error("forward: the injection is not root-aligned"); // The first-hop experiment reads the view of the roots' members (a program without a member // injects nothing). - if (in.first_hop && !capped && !plan.members.empty()) { + if (in.first_hop && !capped && !plan.forwarding_edges.empty()) { throw std::logic_error("forward: the first-hop injection needs a view"); } Forwarding out; - out.carried.assign(plan.members.size(), 0); - out.drops.assign(plan.members.size(), 0); + out.edge_flows.assign(plan.forwarding_edges.size(), 0); + out.edge_drops.assign(plan.forwarding_edges.size(), 0); if constexpr (kAttribute) { attr->offered.assign(H, 0); - attr->source_loss.assign(H, 0); + attr->source_drops_by_source.assign(H, 0); attr->delivered.assign(H, 0); attr->entries.assign(H, {}); } - const bool weighted = plan.placement == FlowPlacement::Weighted; + const bool weighted = plan.allocation == RouteAllocation::Weighted; thread_local std::vector inflow; thread_local std::vector part; thread_local std::vector own_at; // first hop: the root injecting at each position @@ -1164,17 +1158,17 @@ Forwarding forward_on(const KernelPlan& plan, const Injection& in, std::span(i); if (in.first_hop) { if (p < 0) continue; own_at[static_cast(p)] = ri; Amount x = 0; - for (auto m = plan.out_begin[static_cast(p)]; m < plan.out_end[static_cast(p)]; ++m) { + for (auto m = plan.outgoing_begin[static_cast(p)]; m < plan.outgoing_end[static_cast(p)]; ++m) { x += w_m[static_cast(m)]; } out.offered += x; - out.injected += x; + out.network_entered += x; if constexpr (kAttribute) attr->offered[i] = x; continue; } @@ -1183,11 +1177,11 @@ Forwarding forward_on(const KernelPlan& plan, const Injection& in, std::spanoffered[i] = x; if (x == 0) continue; if (p < 0) { - out.source_loss += x; - if constexpr (kAttribute) attr->source_loss[i] = x; + out.source_drops += x; + if constexpr (kAttribute) attr->source_drops_by_source[i] = x; continue; } - out.injected += x; + out.network_entered += x; inflow[static_cast(p)] += x; if constexpr (kAttribute) a.push(p, ri, x); } @@ -1195,18 +1189,18 @@ Forwarding forward_on(const KernelPlan& plan, const Injection& in, std::span(p); const std::int32_t own = in.first_hop ? own_at[p] : -1; const Amount amount = inflow[p]; - if (plan.terminal[p] != 0) { + if (plan.is_destination[p] != 0) { out.delivered += amount; if (kAttribute && amount != 0) { a.gather(pi, -1); - for (auto r : a.touched) attr->delivered[static_cast(r)] += a.acc[static_cast(r)]; + for (auto r : a.touched) attr->delivered[static_cast(r)] += a.source_totals[static_cast(r)]; a.clear_touched(); } continue; } if (amount == 0 && own < 0) continue; - const auto b = static_cast(plan.out_begin[p]); - const auto e = static_cast(plan.out_end[p]); + const auto b = static_cast(plan.outgoing_begin[p]); + const auto e = static_cast(plan.outgoing_end[p]); const std::size_t k = e - b; // The members with a share: round robin writes the first n (the rest receive nothing), // highest averages all k; a root of the first-hop experiment injects on every member. @@ -1226,7 +1220,7 @@ Forwarding forward_on(const KernelPlan& plan, const Injection& in, std::span(head)] += c; if constexpr (!kAttribute) continue; // The member's amount by highest averages over the remaining inflows (then the root's own // first-hop injection on it), and what it carries by highest averages over those arrivals. const std::size_t t = a.touched.size(); - for (std::size_t j = 0; j < t; ++j) a.weight[j] = a.acc[static_cast(a.touched[j])]; - highest_averages(part[i], a.weight, a.row); + for (std::size_t j = 0; j < t; ++j) a.source_weights[j] = a.source_totals[static_cast(a.touched[j])]; + highest_averages(part[i], a.source_weights, a.row); for (std::size_t j = 0; j < t; ++j) { const auto r = a.touched[j]; - a.acc[static_cast(r)] -= a.row[j]; + a.source_totals[static_cast(r)] -= a.row[j]; a.arrive[j] = a.row[j] + (r == own ? mine : 0); } if (c == x) { @@ -1267,16 +1261,16 @@ Forwarding forward_on(const KernelPlan& plan, const Injection& in, std::span(r)] != 0) { + if (a.source_totals[static_cast(r)] != 0) { throw std::logic_error("forward: a router's inflow is not fully attributed"); } } } } - if (in.first_hop) out.offered = out.injected; + if (in.first_hop) out.offered = out.network_entered; if constexpr (kAttribute) { for (auto& rows : attr->entries) { - std::sort(rows.begin(), rows.end(), [](const auto& x, const auto& y) { return x.member < y.member; }); + std::sort(rows.begin(), rows.end(), [](const auto& x, const auto& y) { return x.edge_position < y.edge_position; }); } } return out; @@ -1284,7 +1278,7 @@ Forwarding forward_on(const KernelPlan& plan, const Injection& in, std::span w_m, Attribution* attr) { +Forwarding forward(const PreparedRoute& plan, const Injection& in, std::span w_m, Attribution* attr) { return attr != nullptr ? forward_on(plan, in, w_m, attr) : forward_on(plan, in, w_m, attr); } diff --git a/src/pred_dag.cpp b/src/route_structures.cpp similarity index 64% rename from src/pred_dag.cpp rename to src/route_structures.cpp index 73c438d..fce7b77 100644 --- a/src/pred_dag.cpp +++ b/src/route_structures.cpp @@ -1,14 +1,14 @@ /* - PredDAG and Path: immutable, graph-bound route structures validated once at + PredecessorDAG and Path: immutable, graph-bound route structures validated once at construction, in the documented order, before any traversal. */ -#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/route_structures.hpp" #include #include #include -#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/detail/route_builders.hpp" namespace netgraph::core { @@ -18,49 +18,49 @@ std::string idx(std::size_t i) { return std::to_string(i); } } // namespace -PredDAG PredDAG::from_csr(const Graph& g, std::span offsets, +PredecessorDAG PredecessorDAG::from_csr(const Graph& graph, std::span offsets, std::span parents, std::span via) { - const auto n = static_cast(g.num_nodes()); - const auto m = static_cast(g.num_edges()); + const auto n = static_cast(graph.num_nodes()); + const auto m = static_cast(graph.num_edges()); // Shape: offsets of length N + 1, from 0, monotone, ending at len(parents) == len(via). if (offsets.size() != n + 1) { - throw std::invalid_argument("PredDAG.from_csr: offsets has length " + idx(offsets.size()) + ", expected N + 1 = " + + throw std::invalid_argument("PredecessorDAG.from_csr: parent_offsets has length " + idx(offsets.size()) + ", expected N + 1 = " + idx(n + 1)); } if (offsets[0] != 0) { - throw std::invalid_argument("PredDAG.from_csr: offsets[0] = " + std::to_string(offsets[0]) + ", expected 0"); + throw std::invalid_argument("PredecessorDAG.from_csr: parent_offsets[0] = " + std::to_string(offsets[0]) + ", expected 0"); } for (std::size_t v = 0; v < n; ++v) { if (offsets[v + 1] < offsets[v]) { - throw std::invalid_argument("PredDAG.from_csr: offsets are not monotone at " + idx(v + 1) + " (" + + throw std::invalid_argument("PredecessorDAG.from_csr: parent_offsets are not monotone at " + idx(v + 1) + " (" + std::to_string(offsets[v]) + " > " + std::to_string(offsets[v + 1]) + ")"); } } const auto total = static_cast(offsets[n]); if (parents.size() != total || via.size() != total) { - throw std::invalid_argument("PredDAG.from_csr: offsets[N] = " + idx(total) + " but parents has " + - idx(parents.size()) + " and via has " + idx(via.size()) + " entries"); + throw std::invalid_argument("PredecessorDAG.from_csr: parent_offsets[N] = " + idx(total) + " but parents has " + + idx(parents.size()) + " and via_edges has " + idx(via.size()) + " entries"); } // Entries: ids in range, then each via joining (parent, child). for (std::size_t k = 0; k < total; ++k) { if (parents[k] < 0 || static_cast(parents[k]) >= n) { - throw std::invalid_argument("PredDAG.from_csr: parents[" + idx(k) + "] = " + std::to_string(parents[k]) + + throw std::invalid_argument("PredecessorDAG.from_csr: parents[" + idx(k) + "] = " + std::to_string(parents[k]) + " out of node range [0, " + idx(n) + ")"); } if (via[k] < 0 || via[k] >= m) { - throw std::invalid_argument("PredDAG.from_csr: via[" + idx(k) + "] = " + std::to_string(via[k]) + + throw std::invalid_argument("PredecessorDAG.from_csr: via_edges[" + idx(k) + "] = " + std::to_string(via[k]) + " out of edge range [0, " + std::to_string(m) + ")"); } } - const auto edge_src = g.edge_src(); - const auto edge_dst = g.edge_dst(); + const auto edge_sources = graph.edge_sources(); + const auto edge_destinations = graph.edge_destinations(); for (std::size_t v = 0; v < n; ++v) { for (auto k = static_cast(offsets[v]); k < static_cast(offsets[v + 1]); ++k) { const auto e = static_cast(via[k]); - if (edge_src[e] != parents[k] || static_cast(edge_dst[e]) != v) { - throw std::invalid_argument("PredDAG.from_csr: entry " + idx(k) + " of node " + idx(v) + ": via edge " + - idx(e) + " joins (" + std::to_string(edge_src[e]) + ", " + - std::to_string(edge_dst[e]) + "), not (" + std::to_string(parents[k]) + ", " + + if (edge_sources[e] != parents[k] || static_cast(edge_destinations[e]) != v) { + throw std::invalid_argument("PredecessorDAG.from_csr: entry " + idx(k) + " of node " + idx(v) + ": via edge " + + idx(e) + " joins (" + std::to_string(edge_sources[e]) + ", " + + std::to_string(edge_destinations[e]) + "), not (" + std::to_string(parents[k]) + ", " + idx(v) + ")"); } } @@ -71,7 +71,7 @@ PredDAG PredDAG::from_csr(const Graph& g, std::span offsets, for (std::size_t k = 0; k < total; ++k) { const auto e = static_cast(via[k]); if (seen[e] != 0) { - throw std::invalid_argument("PredDAG.from_csr: duplicate entry (child " + std::to_string(edge_dst[e]) + + throw std::invalid_argument("PredecessorDAG.from_csr: duplicate entry (child " + std::to_string(edge_destinations[e]) + ", via " + idx(e) + ")"); } seen[e] = 1; @@ -110,21 +110,21 @@ PredDAG PredDAG::from_csr(const Graph& g, std::span offsets, if (--indeg[c] == 0) ready.push_back(static_cast(c)); } } - if (done != n) throw std::invalid_argument("PredDAG.from_csr: the entries contain a cycle"); + if (done != n) throw std::invalid_argument("PredecessorDAG.from_csr: the entries contain a cycle"); } // Canonical form: within a node, ascending via EdgeId. for (std::size_t v = 0; v < n; ++v) { for (auto k = static_cast(offsets[v]) + 1; k < static_cast(offsets[v + 1]); ++k) { if (via[k] <= via[k - 1]) { - throw std::invalid_argument("PredDAG.from_csr: the entries of node " + idx(v) + + throw std::invalid_argument("PredecessorDAG.from_csr: the entries of node " + idx(v) + " are not in ascending via EdgeId (" + std::to_string(via[k - 1]) + " then " + std::to_string(via[k]) + ")"); } } } - PredDAG out; - out.graph_uid_ = g.uid(); - out.num_nodes_ = g.num_nodes(); + PredecessorDAG out; + out.graph_uid_ = graph.uid(); + out.num_nodes_ = graph.num_nodes(); for (std::size_t v = 0; v < n; ++v) { if (offsets[v + 1] != offsets[v]) { out.nodes_.push_back(static_cast(v)); @@ -132,13 +132,13 @@ PredDAG PredDAG::from_csr(const Graph& g, std::span offsets, } } out.parents_.assign(parents.begin(), parents.end()); - out.via_.assign(via.begin(), via.end()); - out.edges_ = out.via_; + out.via_edges_.assign(via.begin(), via.end()); + out.edges_ = out.via_edges_; std::sort(out.edges_.begin(), out.edges_.end()); return out; } -std::vector PredDAG::parent_offsets() const { +std::vector PredecessorDAG::parent_offsets() const { std::vector out(static_cast(num_nodes_) + 1, 0); std::size_t i = 0; for (std::size_t v = 0; v < static_cast(num_nodes_); ++v) { @@ -150,82 +150,82 @@ std::vector PredDAG::parent_offsets() const { namespace detail { -PredDAG PredDAGBuilder::of_edges(const Graph& g, std::span edges) { - const auto edge_src = g.edge_src(); - const auto edge_dst = g.edge_dst(); - PredDAG out; - out.graph_uid_ = g.uid(); - out.num_nodes_ = g.num_nodes(); +PredecessorDAG PredecessorDAGBuilder::of_edges(const Graph& graph, std::span edges) { + const auto edge_sources = graph.edge_sources(); + const auto edge_destinations = graph.edge_destinations(); + PredecessorDAG out; + out.graph_uid_ = graph.uid(); + out.num_nodes_ = graph.num_nodes(); std::vector sorted(edges.begin(), edges.end()); if (!std::is_sorted(sorted.begin(), sorted.end())) std::sort(sorted.begin(), sorted.end()); // The entries' via edges grouped by child (ascending NodeId), ascending within a child, built in // place: a small set by sorting on (child, via), a larger one by a stable counting sort of the // ascending edges by their child over an N + 1 temporary. - auto& via = out.via_; + auto& via = out.via_edges_; if (sorted.size() * 8 < static_cast(out.num_nodes_)) { std::vector> keyed(sorted.size()); - for (std::size_t k = 0; k < sorted.size(); ++k) keyed[k] = {edge_dst[static_cast(sorted[k])], sorted[k]}; + for (std::size_t k = 0; k < sorted.size(); ++k) keyed[k] = {edge_destinations[static_cast(sorted[k])], sorted[k]}; std::sort(keyed.begin(), keyed.end()); via.resize(keyed.size()); for (std::size_t k = 0; k < keyed.size(); ++k) via[k] = keyed[k].second; } else { via.resize(sorted.size()); std::vector slot(static_cast(out.num_nodes_) + 1, 0); - for (EdgeId e : sorted) ++slot[static_cast(edge_dst[static_cast(e)]) + 1]; + for (EdgeId e : sorted) ++slot[static_cast(edge_destinations[static_cast(e)]) + 1]; for (std::size_t v = 1; v < slot.size(); ++v) slot[v] += slot[v - 1]; - for (EdgeId e : sorted) via[static_cast(slot[static_cast(edge_dst[static_cast(e)])]++)] = e; + for (EdgeId e : sorted) via[static_cast(slot[static_cast(edge_destinations[static_cast(e)])]++)] = e; } // The member nodes counted first, so their lists are sized once. std::size_t members = 0; for (std::size_t k = 0; k < via.size(); ++k) { - if (k == 0 || edge_dst[static_cast(via[k])] != edge_dst[static_cast(via[k - 1])]) ++members; + if (k == 0 || edge_destinations[static_cast(via[k])] != edge_destinations[static_cast(via[k - 1])]) ++members; } out.nodes_.reserve(members); out.node_offsets_.reserve(members + 1); out.parents_.resize(via.size()); for (std::size_t k = 0; k < via.size(); ++k) { const auto ei = static_cast(via[k]); - const NodeId child = edge_dst[ei]; + const NodeId child = edge_destinations[ei]; if (out.nodes_.empty() || out.nodes_.back() != child) { if (!out.nodes_.empty()) out.node_offsets_.push_back(static_cast(k)); out.nodes_.push_back(child); } - out.parents_[k] = edge_src[ei]; + out.parents_[k] = edge_sources[ei]; } if (!out.nodes_.empty()) out.node_offsets_.push_back(static_cast(via.size())); out.edges_ = std::move(sorted); return out; } -PredDAG PredDAGBuilder::empty(const Graph& g) { - PredDAG out; - out.graph_uid_ = g.uid(); - out.num_nodes_ = g.num_nodes(); +PredecessorDAG PredecessorDAGBuilder::empty(const Graph& graph) { + PredecessorDAG out; + out.graph_uid_ = graph.uid(); + out.num_nodes_ = graph.num_nodes(); return out; } -PredDAG PredDAGBuilder::of_parts(const Graph& g, std::vector nodes, std::vector offsets, +PredecessorDAG PredecessorDAGBuilder::of_parts(const Graph& graph, std::vector nodes, std::vector offsets, std::vector parents, std::vector via, std::vector ascending) { - PredDAG out; - out.graph_uid_ = g.uid(); - out.num_nodes_ = g.num_nodes(); + PredecessorDAG out; + out.graph_uid_ = graph.uid(); + out.num_nodes_ = graph.num_nodes(); out.nodes_ = std::move(nodes); out.node_offsets_ = std::move(offsets); out.parents_ = std::move(parents); - out.via_ = std::move(via); + out.via_edges_ = std::move(via); out.edges_ = std::move(ascending); return out; } -PredDAG PredDAGBuilder::of_path(std::uint64_t graph_uid, std::int32_t num_nodes, +PredecessorDAG PredecessorDAGBuilder::of_path(std::uint64_t graph_uid, std::int32_t num_nodes, const std::vector>& hops, const std::vector& nodes) { // Hop h's child is nodes[h + 1]; the children are distinct, so ordering the hops by child // gives the grouped entries. std::vector order(hops.size()); for (std::size_t h = 0; h < hops.size(); ++h) order[h] = h; std::sort(order.begin(), order.end(), [&](std::size_t a, std::size_t b) { return nodes[a + 1] < nodes[b + 1]; }); - PredDAG out; + PredecessorDAG out; out.graph_uid_ = graph_uid; out.num_nodes_ = num_nodes; for (std::size_t h : order) { @@ -234,56 +234,56 @@ PredDAG PredDAGBuilder::of_path(std::uint64_t graph_uid, std::int32_t num_nodes, out.nodes_.push_back(nodes[h + 1]); for (EdgeId e : members) { out.parents_.push_back(nodes[h]); - out.via_.push_back(e); + out.via_edges_.push_back(e); } - out.node_offsets_.push_back(static_cast(out.via_.size())); + out.node_offsets_.push_back(static_cast(out.via_edges_.size())); } - out.edges_ = out.via_; + out.edges_ = out.via_edges_; std::sort(out.edges_.begin(), out.edges_.end()); return out; } -Path PathBuilder::of_walk(const Graph& g, std::span walk) { +Path PathBuilder::of_walk(const Graph& graph, std::span walk) { std::vector> hops; hops.reserve(walk.size()); for (EdgeId e : walk) hops.push_back({e}); - return of_hops(g, std::move(hops)); + return of_hops(graph, std::move(hops)); } -Path PathBuilder::of_hops(const Graph& g, std::vector> hops) { - const auto edge_src = g.edge_src(); - const auto edge_dst = g.edge_dst(); - const auto cost = g.cost(); +Path PathBuilder::of_hops(const Graph& graph, std::vector> hops) { + const auto edge_sources = graph.edge_sources(); + const auto edge_destinations = graph.edge_destinations(); + const auto cost = graph.edge_costs(); Path out; out.nodes_.reserve(hops.size() + 1); - out.nodes_.push_back(edge_src[static_cast(hops.front().front())]); + out.nodes_.push_back(edge_sources[static_cast(hops.front().front())]); for (const auto& hop : hops) { - out.nodes_.push_back(edge_dst[static_cast(hop.front())]); + out.nodes_.push_back(edge_destinations[static_cast(hop.front())]); Cost best = cost[static_cast(hop.front())]; for (EdgeId e : hop) best = std::min(best, cost[static_cast(e)]); out.cost_ += best; } - out.graph_uid_ = g.uid(); - out.num_nodes_ = g.num_nodes(); + out.graph_uid_ = graph.uid(); + out.num_nodes_ = graph.num_nodes(); out.hops_ = std::move(hops); return out; } -std::span PredDAGBuilder::ascending(const PredDAG& dag) noexcept { return dag.edges_; } +std::span PredecessorDAGBuilder::ascending(const PredecessorDAG& dag) noexcept { return dag.edges_; } -std::span PredDAGBuilder::member_nodes(const PredDAG& dag) noexcept { return dag.nodes_; } +std::span PredecessorDAGBuilder::member_nodes(const PredecessorDAG& dag) noexcept { return dag.nodes_; } -std::span PredDAGBuilder::member_offsets(const PredDAG& dag) noexcept { return dag.node_offsets_; } +std::span PredecessorDAGBuilder::member_offsets(const PredecessorDAG& dag) noexcept { return dag.node_offsets_; } -std::size_t PredDAGBuilder::payload_bytes(const PredDAG& dag) noexcept { +std::size_t PredecessorDAGBuilder::payload_bytes(const PredecessorDAG& dag) noexcept { return sizeof(NodeId) * (dag.nodes_.size() + dag.parents_.size()) + sizeof(std::int32_t) * dag.node_offsets_.size() + - sizeof(EdgeId) * (dag.via_.size() + dag.edges_.size()); + sizeof(EdgeId) * (dag.via_edges_.size() + dag.edges_.size()); } } // namespace detail -Path::Path(const Graph& g, std::vector> hops) { - const auto m = static_cast(g.num_edges()); +Path::Path(const Graph& graph, std::vector> hops) { + const auto m = static_cast(graph.num_edges()); // Every member in range before any endpoint is read. for (std::size_t h = 0; h < hops.size(); ++h) { for (EdgeId e : hops[h]) { @@ -308,24 +308,24 @@ Path::Path(const Graph& g, std::vector> hops) { for (std::size_t h = 0; h < hops.size(); ++h) { if (hops[h].empty()) throw std::invalid_argument("Path: hop " + idx(h) + " is empty"); } - const auto edge_src = g.edge_src(); - const auto edge_dst = g.edge_dst(); - const auto cost = g.cost(); + const auto edge_sources = graph.edge_sources(); + const auto edge_destinations = graph.edge_destinations(); + const auto cost = graph.edge_costs(); for (std::size_t h = 0; h < hops.size(); ++h) { const auto first = static_cast(hops[h].front()); for (EdgeId e : hops[h]) { const auto ei = static_cast(e); - if (edge_src[ei] != edge_src[first] || edge_dst[ei] != edge_dst[first]) { + if (edge_sources[ei] != edge_sources[first] || edge_destinations[ei] != edge_destinations[first]) { throw std::invalid_argument("Path: the members of hop " + idx(h) + " do not share (u, v): edge " + - std::to_string(e) + " joins (" + std::to_string(edge_src[ei]) + ", " + - std::to_string(edge_dst[ei]) + "), edge " + idx(first) + " joins (" + - std::to_string(edge_src[first]) + ", " + std::to_string(edge_dst[first]) + ")"); + std::to_string(e) + " joins (" + std::to_string(edge_sources[ei]) + ", " + + std::to_string(edge_destinations[ei]) + "), edge " + idx(first) + " joins (" + + std::to_string(edge_sources[first]) + ", " + std::to_string(edge_destinations[first]) + ")"); } } } for (std::size_t h = 1; h < hops.size(); ++h) { - const NodeId prev = edge_dst[static_cast(hops[h - 1].front())]; - const NodeId next = edge_src[static_cast(hops[h].front())]; + const NodeId prev = edge_destinations[static_cast(hops[h - 1].front())]; + const NodeId next = edge_sources[static_cast(hops[h].front())]; if (prev != next) { throw std::invalid_argument("Path: hops " + idx(h - 1) + " and " + idx(h) + " are not contiguous (" + std::to_string(prev) + " then " + std::to_string(next) + ")"); @@ -333,10 +333,10 @@ Path::Path(const Graph& g, std::vector> hops) { } std::vector nodes; nodes.reserve(hops.size() + 1); - nodes.push_back(edge_src[static_cast(hops.front().front())]); + nodes.push_back(edge_sources[static_cast(hops.front().front())]); Cost total = 0; for (const auto& hop : hops) { - nodes.push_back(edge_dst[static_cast(hop.front())]); + nodes.push_back(edge_destinations[static_cast(hop.front())]); Cost best = cost[static_cast(hop.front())]; for (EdgeId e : hop) best = std::min(best, cost[static_cast(e)]); total += best; @@ -347,18 +347,18 @@ Path::Path(const Graph& g, std::vector> hops) { const auto dup = std::adjacent_find(sorted.begin(), sorted.end()); if (dup != sorted.end()) throw std::invalid_argument("Path: node " + std::to_string(*dup) + " is repeated"); } - graph_uid_ = g.uid(); - num_nodes_ = g.num_nodes(); + graph_uid_ = graph.uid(); + num_nodes_ = graph.num_nodes(); hops_ = std::move(hops); nodes_ = std::move(nodes); cost_ = total; } -PredDAG Path::to_dag() const { +PredecessorDAG Path::to_dag() const { // From the hops and the visited nodes, as a Path keeps no graph reference: the parent of every // member of hop h is nodes_[h], its child nodes_[h + 1]; no node repeats, so each node holds // the members of at most one hop. - return detail::PredDAGBuilder::of_path(graph_uid_, num_nodes_, hops_, nodes_); + return detail::PredecessorDAGBuilder::of_path(graph_uid_, num_nodes_, hops_, nodes_); } } // namespace netgraph::core diff --git a/src/search.cpp b/src/search.cpp index e2f0a4b..716537f 100644 --- a/src/search.cpp +++ b/src/search.cpp @@ -7,7 +7,7 @@ Both queues pop in (distance, node) order: the heap by its key, the cyclic buckets because each holds one distance at a time and the active bucket is sorted by node. After popping - distance d, pending distances lie in [d, d + max_cost], all multiples of cost_gcd. A node is + distance d, pending distances lie in [d, d + max_edge_cost], all multiples of edge_cost_gcd. A node is pushed only on a strict improvement, so it appears at most once per bucket. Equal-distance pop order cannot change the result: positive costs make every tight predecessor of a node strictly nearer, so it is finalised first. @@ -29,8 +29,8 @@ #include "netgraph/core/detail/graph_access.hpp" #include "netgraph/core/detail/hooks_flag.hpp" #include "netgraph/core/detail/int128.hpp" -#include "netgraph/core/detail/pred_dag_builder.hpp" -#include "netgraph/core/detail/traversal.hpp" +#include "netgraph/core/detail/route_builders.hpp" +#include "netgraph/core/detail/search_detail.hpp" namespace netgraph::core::detail { @@ -43,30 +43,30 @@ int compare(const Priority& a, const Priority& b) noexcept { return left < right ? -1 : 1; } -Priority priority_value(EdgePriority priority, Amount residual, Amount capacity) noexcept { - if (priority == EdgePriority::Capacity) return {capacity, 1, false}; - if (priority == EdgePriority::Residual) return {residual, 1, false}; +Priority priority_value(RouteTieBreak tie_break, Amount residual, Amount capacity) noexcept { + if (tie_break == RouteTieBreak::HigherAvailableCapacity) return {residual, 1, false}; + if (tie_break != RouteTieBreak::HigherHeadroom) return {capacity, 1, false}; if (capacity == 0) return {0, 1, false}; // a zero-capacity edge has headroom 0 return {residual, capacity, false}; } Priority PriorityValues::of(EdgeId e) const noexcept { const auto ei = static_cast(e); - const Amount cap = g->capacity_units()[ei]; - return priority_value(priority, residual.empty() ? cap : residual[ei], cap); + const Amount cap = graph->edge_capacity_units()[ei]; + return priority_value(tie_break, residual.empty() ? cap : residual[ei], cap); } -PriorityFn PriorityFn::of(const PriorityValues& values) noexcept { +PriorityReader PriorityReader::of(const PriorityValues& values) noexcept { return {&values, [](const void* ctx, EdgeId e) noexcept { return static_cast(ctx)->of(e); }}; } -std::int64_t bucket_width(const Graph& g) noexcept { - const Cost stride = std::max(1, g.cost_gcd()); - return g.max_cost() / stride + 1; // max_cost < 2^62: no overflow +std::int64_t bucket_width(const Graph& graph) noexcept { + const Cost stride = std::max(1, graph.edge_cost_gcd()); + return graph.max_edge_cost() / stride + 1; // max_edge_cost < 2^62: no overflow } -bool uses_buckets(const Graph& g, SpfQueue queue) noexcept { - return queue == SpfQueue::Auto && bucket_width(g) <= kMaxBucketWidth; +bool uses_buckets(const Graph& graph, SpfQueue queue) noexcept { + return queue == SpfQueue::Auto && bucket_width(graph) <= kMaxBucketWidth; } #if NETGRAPH_CORE_PRIVATE_HOOKS @@ -102,30 +102,30 @@ void trim(Vec& v, std::size_t used) noexcept { class HeapQueue { public: void begin(std::span roots) { - h_.clear(); + heap_.clear(); peak_ = 0; for (NodeId r : roots) push(0, r); } void push(Cost c, NodeId v) { - h_.emplace_back(c, v); // strong guarantee: a failed growth leaves the heap as it was - std::push_heap(h_.begin(), h_.end(), std::greater<> {}); - if (h_.size() > peak_) peak_ = h_.size(); + heap_.emplace_back(c, v); // strong guarantee: a failed growth leaves the heap as it was + std::push_heap(heap_.begin(), heap_.end(), std::greater<> {}); + if (heap_.size() > peak_) peak_ = heap_.size(); } bool pop(Cost& c, NodeId& v) noexcept { - if (h_.empty()) return false; - std::pop_heap(h_.begin(), h_.end(), std::greater<> {}); - c = h_.back().first; - v = h_.back().second; - h_.pop_back(); + if (heap_.empty()) return false; + std::pop_heap(heap_.begin(), heap_.end(), std::greater<> {}); + c = heap_.back().first; + v = heap_.back().second; + heap_.pop_back(); return true; } void end() noexcept { - h_.clear(); - trim(h_, peak_); + heap_.clear(); + trim(heap_, peak_); } private: - std::vector> h_ {}; + std::vector> heap_ {}; std::size_t peak_ {0}; }; @@ -286,10 +286,10 @@ struct PoolEntry { // flags == 0 for every node; touched, marked, the pool and both queues empty. touched and marked // have the capacity of the node arrays, so recording a node never allocates; scratch buffers are // rewritten before every use. -struct Workspace { - std::vector dist {}; - std::vector head {}; - std::vector loc {}; +struct SearchWorkspace { + std::vector distances {}; + std::vector predecessor_list_heads {}; + std::vector local_positions {}; std::vector flags {}; std::vector touched {}; // the nodes whose dist (and head) a lease wrote std::vector marked {}; // the nodes whose flags (and loc) a lease wrote @@ -302,10 +302,10 @@ struct Workspace { std::vector pruned {}; std::vector kept {}; std::vector stack {}; - std::vector off_out {}; - std::vector off_in {}; - std::vector idx_out {}; - std::vector idx_in {}; + std::vector outgoing_offsets {}; + std::vector incoming_offsets {}; + std::vector outgoing_edge_positions {}; + std::vector incoming_edge_positions {}; std::vector hops {}; std::vector keep_edge {}; std::vector has_best {}; @@ -313,18 +313,18 @@ struct Workspace { bool leased {false}; }; -thread_local Workspace tls_workspace; +thread_local SearchWorkspace tls_workspace; // The lease of the thread's workspace for one search (and its extraction): sizes the node arrays // for the graph, refuses an overlapping lease, and restores the workspace's invariant on every // exit, exceptions included. A failed acquisition changes nothing (the arrays are replaced // together or not at all). The workspace holds no pointer into a graph, a residual or an // Eligibility between leases. -class Lease { +class SearchWorkspaceLease { public: - explicit Lease(std::size_t n) : ws_(tls_workspace) { - if (ws_.leased) throw std::logic_error("search: the thread's workspace is already leased (overlapping searches)"); - if (ws_.dist.size() < n || ws_.dist.size() > 4 * n + 4096) { + explicit SearchWorkspaceLease(std::size_t n) : workspace_(tls_workspace) { + if (workspace_.leased) throw std::logic_error("search: the thread's workspace is already leased (overlapping searches)"); + if (workspace_.distances.size() < n || workspace_.distances.size() > 4 * n + 4096) { std::vector dist(n, kInf); std::vector head(n, -1); std::vector loc(n, -1); @@ -333,40 +333,40 @@ class Lease { std::vector marked; touched.reserve(n); marked.reserve(n); - ws_.dist.swap(dist); - ws_.head.swap(head); - ws_.loc.swap(loc); - ws_.flags.swap(flags); - ws_.touched.swap(touched); - ws_.marked.swap(marked); + workspace_.distances.swap(dist); + workspace_.predecessor_list_heads.swap(head); + workspace_.local_positions.swap(loc); + workspace_.flags.swap(flags); + workspace_.touched.swap(touched); + workspace_.marked.swap(marked); } - ws_.leased = true; + workspace_.leased = true; } - Lease(const Lease&) = delete; - Lease& operator=(const Lease&) = delete; - ~Lease() { release(); } - [[nodiscard]] Workspace& ws() noexcept { return ws_; } + SearchWorkspaceLease(const SearchWorkspaceLease&) = delete; + SearchWorkspaceLease& operator=(const SearchWorkspaceLease&) = delete; + ~SearchWorkspaceLease() { release(); } + [[nodiscard]] SearchWorkspace& workspace() noexcept { return workspace_; } private: void release() noexcept { - auto& w = ws_; - const std::size_t n = w.dist.size(); + auto& w = workspace_; + const std::size_t n = w.distances.size(); if (w.touched.size() * 4 >= n) { - std::fill(w.dist.begin(), w.dist.end(), kInf); - std::fill(w.head.begin(), w.head.end(), -1); + std::fill(w.distances.begin(), w.distances.end(), kInf); + std::fill(w.predecessor_list_heads.begin(), w.predecessor_list_heads.end(), -1); } else { for (NodeId v : w.touched) { - w.dist[static_cast(v)] = kInf; - w.head[static_cast(v)] = -1; + w.distances[static_cast(v)] = kInf; + w.predecessor_list_heads[static_cast(v)] = -1; } } if (w.marked.size() * 4 >= n) { std::fill(w.flags.begin(), w.flags.end(), std::uint8_t {0}); - std::fill(w.loc.begin(), w.loc.end(), -1); + std::fill(w.local_positions.begin(), w.local_positions.end(), -1); } else { for (NodeId v : w.marked) { w.flags[static_cast(v)] = 0; - w.loc[static_cast(v)] = -1; + w.local_positions[static_cast(v)] = -1; } } w.touched.clear(); @@ -379,10 +379,10 @@ class Lease { w.buckets.end(); w.leased = false; } - Workspace& ws_; + SearchWorkspace& workspace_; }; -void mark(Workspace& ws, NodeId v, std::uint8_t bit) noexcept { +void mark(SearchWorkspace& ws, NodeId v, std::uint8_t bit) noexcept { auto& f = ws.flags[static_cast(v)]; if (f == 0) ws.marked.push_back(v); // within the reserved capacity f = static_cast(f | bit); @@ -390,7 +390,7 @@ void mark(Workspace& ws, NodeId v, std::uint8_t bit) noexcept { // A KSP spur is the node where an alternative path leaves an earlier path's prefix. Spur rules // apply to forward searches only: excluded prefix nodes (kExcluded) prevent cycles. At the spur, -// multi_edge = true (Expand) bans the listed edges; false (Collapse) bans every edge to a head +// parallel_edges = true (Expand) bans the listed edges; false (Collapse) bans every edge to a head // marked kBannedHead. struct Spur { NodeId node {-1}; @@ -400,36 +400,36 @@ struct Spur { // One search over validated inputs. `roots`: allowed, sorted, unique, non-empty; with `targets` // the live targets carry kTarget and the search stops at the first one popped. -struct SearchIn { - const Graph* g {nullptr}; - Gate gate {}; +struct SearchInput { + const Graph* graph {nullptr}; + SearchFilter filter {}; Direction direction {Direction::Forward}; SpfQueue queue {SpfQueue::Auto}; std::span roots {}; bool targets {false}; - bool lists {true}; + bool collect_predecessors {true}; const Spur* spur {nullptr}; }; template -Cost loop(Workspace& ws, Q& q, const SearchIn& in) { - const Graph& g = *in.g; - const Cost* const cost = g.cost().data(); - const NodeId* const edst = g.edge_dst().data(); - const std::int32_t* const row = g.row_offsets().data(); - const std::int32_t* const in_row = g.in_row_offsets().data(); - const EdgeId* const in_adj = g.in_adj_edge_index().data(); - const NodeId* const in_col = detail::GraphAccess::in_col_indices(g).data(); // in_col[s] = esrc[in_adj[s]] - const std::uint8_t* const allowed = in.gate.elig != nullptr ? in.gate.elig->edge_allowed().data() : nullptr; - const Amount* const res = in.gate.residual.empty() ? nullptr : in.gate.residual.data(); - const Amount minr = in.gate.min_residual; +Cost run_dijkstra(SearchWorkspace& ws, Q& q, const SearchInput& in) { + const Graph& g = *in.graph; + const Cost* const cost = g.edge_costs().data(); + const NodeId* const edst = g.edge_destinations().data(); + const std::int32_t* const row = g.outgoing_offsets().data(); + const std::int32_t* const in_row = g.incoming_offsets().data(); + const EdgeId* const in_adj = g.incoming_edges().data(); + const NodeId* const in_col = detail::GraphAccess::incoming_edge_sources(g).data(); // in_col[s] = esrc[in_adj[s]] + const std::uint8_t* const allowed = in.filter.eligibility != nullptr ? in.filter.eligibility->edge_allowed().data() : nullptr; + const Amount* const res = in.filter.residual.empty() ? nullptr : in.filter.residual.data(); + const Amount minr = in.filter.min_residual; // The node arrays are not resized during a lease: raw pointers keep the compiler from // reloading the vector bases around every store into the thread-local workspace. - Cost* const dist = ws.dist.data(); - std::int32_t* const head = ws.head.data(); + Cost* const dist = ws.distances.data(); + std::int32_t* const head = ws.predecessor_list_heads.data(); const std::uint8_t* const flags = ws.flags.data(); const bool targets = in.targets; - const bool lists = in.lists; + const bool lists = in.collect_predecessors; const Spur* const spur = in.spur; auto candidate = [&](std::size_t e) noexcept { return (allowed == nullptr || allowed[e] != 0) && (res == nullptr || res[e] >= minr); @@ -487,42 +487,42 @@ Cost loop(Workspace& ws, Q& q, const SearchIn& in) { // Runs one search into the leased workspace; returns the nearest targets' distance d* (kInf // without targets or when none is reached). -Cost run(Workspace& ws, const SearchIn& in) { +Cost run_search(SearchWorkspace& ws, const SearchInput& in) { for (NodeId r : in.roots) { ws.touched.push_back(r); // before the write; within the reserved capacity - ws.dist[static_cast(r)] = 0; + ws.distances[static_cast(r)] = 0; } - const Graph& g = *in.g; + const Graph& g = *in.graph; const bool forward = in.direction == Direction::Forward; if (uses_buckets(g, in.queue)) { #if NETGRAPH_CORE_PRIVATE_HOOKS ++thread_queue_counts().buckets; #endif - ws.buckets.begin(bucket_width(g), std::max(1, g.cost_gcd()), ws.dist.size(), in.roots); - return forward ? loop(ws, ws.buckets, in) : loop(ws, ws.buckets, in); + ws.buckets.begin(bucket_width(g), std::max(1, g.edge_cost_gcd()), ws.distances.size(), in.roots); + return forward ? run_dijkstra(ws, ws.buckets, in) : run_dijkstra(ws, ws.buckets, in); } ws.heap.begin(in.roots); - return forward ? loop(ws, ws.heap, in) : loop(ws, ws.heap, in); + return forward ? run_dijkstra(ws, ws.heap, in) : run_dijkstra(ws, ws.heap, in); } // How a list's entries are read after a search: the list of a node holds its tight in-edges // (Forward: the other endpoint is the edge's source) or its tight out-edges toward the roots // (Reverse: the other endpoint is the edge's destination); Collapse keeps one member per pair. -struct Emit { - const Graph* g {nullptr}; +struct SearchOutputOptions { + const Graph* graph {nullptr}; bool forward {true}; - bool collapse {false}; - bool prefer {false}; - PriorityFn prio {}; + bool collapse_parallel_edges {false}; + bool prefer_priority {false}; + PriorityReader priority {}; }; // Appends node x's list to `out` with Collapse applied. The entries of one pair are consecutive // in the list (each node's scan inserts them one after another; they are the pair's cheapest // candidates, consecutive in both adjacency orders), so one pass groups them by the other endpoint. -void read_list(const Workspace& ws, const Emit& em, NodeId x, std::vector& out) { - const NodeId* const other = em.forward ? em.g->edge_src().data() : em.g->edge_dst().data(); - std::int32_t k = ws.head[static_cast(x)]; - if (!em.collapse) { +void read_list(const SearchWorkspace& ws, const SearchOutputOptions& em, NodeId x, std::vector& out) { + const NodeId* const other = em.forward ? em.graph->edge_sources().data() : em.graph->edge_destinations().data(); + std::int32_t k = ws.predecessor_list_heads[static_cast(x)]; + if (!em.collapse_parallel_edges) { for (; k >= 0; k = ws.pool[static_cast(k)].next) out.push_back(ws.pool[static_cast(k)].edge); return; } @@ -533,8 +533,8 @@ void read_list(const Workspace& ws, const Emit& em, NodeId x, std::vector= 0; k = ws.pool[static_cast(k)].next) { const EdgeId e = ws.pool[static_cast(k)].edge; if (other[static_cast(e)] != y) break; - if (em.prefer) { - const int c = compare(em.prio(e), em.prio(best)); + if (em.prefer_priority) { + const int c = compare(em.priority(e), em.priority(best)); if (c > 0 || (c == 0 && e < best)) best = e; } else if (e < best) { best = e; @@ -553,11 +553,11 @@ void sort_small(std::vector& v, std::size_t from) { // for its costs anyway): Forward lists are per child, so the entries come grouped by child and // the ascending order by a counting pass over the parents; Reverse lists are per parent, so the // ascending order comes directly and the grouping by a counting pass over the children. -PredDAG emit_full(Workspace& ws, const Emit& em) { - const Graph& g = *em.g; +PredecessorDAG emit_full(SearchWorkspace& ws, const SearchOutputOptions& em) { + const Graph& g = *em.graph; const auto n = static_cast(g.num_nodes()); - const auto esrc = g.edge_src(); - const auto edst = g.edge_dst(); + const auto esrc = g.edge_sources(); + const auto edst = g.edge_destinations(); std::vector nodes; std::vector offsets {0}; std::vector parents; @@ -567,7 +567,7 @@ PredDAG emit_full(Workspace& ws, const Emit& em) { list.clear(); if (em.forward) { for (std::size_t v = 0; v < n; ++v) { - if (ws.head[v] < 0) continue; + if (ws.predecessor_list_heads[v] < 0) continue; const std::size_t from = list.size(); read_list(ws, em, static_cast(v), list); sort_small(list, from); @@ -591,14 +591,14 @@ PredDAG emit_full(Workspace& ws, const Emit& em) { from = to; } } else { - const auto row = g.row_offsets(); + const auto row = g.outgoing_offsets(); for (std::size_t u = 0; u < n; ++u) { - if (ws.head[u] < 0) continue; - if (!em.collapse && row[u + 1] - row[u] <= 64) { + if (ws.predecessor_list_heads[u] < 0) continue; + if (!em.collapse_parallel_edges && row[u + 1] - row[u] <= 64) { // The list holds distinct out-edges of u, ids in [row[u], row[u + 1]): one bit per id gives // them in ascending order without a sort. std::uint64_t bits = 0; - for (std::int32_t k = ws.head[u]; k >= 0; k = ws.pool[static_cast(k)].next) { + for (std::int32_t k = ws.predecessor_list_heads[u]; k >= 0; k = ws.pool[static_cast(k)].next) { bits |= std::uint64_t {1} << (ws.pool[static_cast(k)].edge - row[u]); } for (; bits != 0; bits &= bits - 1) list.push_back(row[u] + std::countr_zero(bits)); @@ -625,20 +625,20 @@ PredDAG emit_full(Workspace& ws, const Emit& em) { from = to; } } - return PredDAGBuilder::of_parts(g, std::move(nodes), std::move(offsets), std::move(parents), std::move(via), + return PredecessorDAGBuilder::of_parts(g, std::move(nodes), std::move(offsets), std::move(parents), std::move(via), std::move(asc)); } // The walk back from the targets at d* along the lists (anycast pruning): every tight edge on a // walk from a root to a nearest target, Collapse applied, into ws.pruned (any order); the nodes on // those walks carry kKeep and are listed in ws.kept. -void prune(Workspace& ws, const Emit& em, std::span targets, Cost dstar) { - const NodeId* const other = em.forward ? em.g->edge_src().data() : em.g->edge_dst().data(); +void prune(SearchWorkspace& ws, const SearchOutputOptions& em, std::span targets, Cost dstar) { + const NodeId* const other = em.forward ? em.graph->edge_sources().data() : em.graph->edge_destinations().data(); ws.pruned.clear(); ws.kept.clear(); ws.stack.clear(); for (NodeId t : targets) { - if (ws.dist[static_cast(t)] != dstar) continue; + if (ws.distances[static_cast(t)] != dstar) continue; mark(ws, t, kKeep); ws.kept.push_back(t); ws.stack.push_back(t); @@ -661,7 +661,7 @@ void prune(Workspace& ws, const Emit& em, std::span targets, Cost // Choose one path from tight DAG `edges` (ws.pruned, any order) and `nodes` (ws.kept, kKeep). // pot(v) is distance from the starts: 0 there, `total` at the ends. Increasing pot orders // every predecessor before its child (topological order). -// Under PreferHigherPriority (`prio`), first maximise the smallest edge priority on a walk +// Under a HIGHER_* tie_break (`prio`), first maximise the smallest tie value on a walk // (its bottleneck), capped by `cap` for a KSP prefix; call this B*. Keep edges with priority >= B*. // Then compute minimum remaining hops h from the ends. Start where h is smallest and repeatedly // take the lowest EdgeId with h(v) = h(u) - 1. Decreasing h prevents cycles; choosing the smallest @@ -673,12 +673,12 @@ struct Walk { }; template -Walk extract(Workspace& ws, const Graph& g, Pot pot, Cost total, const PriorityFn* prio, const Priority* cap) { +Walk extract(SearchWorkspace& ws, const Graph& graph, Pot pot, Cost total, const PriorityReader* prio, const Priority* cap) { auto& nodes = ws.kept; auto& edges = ws.pruned; - const auto esrc = g.edge_src(); - const auto edst = g.edge_dst(); - const auto cost = g.cost(); + const auto esrc = graph.edge_sources(); + const auto edst = graph.edge_destinations(); + const auto cost = graph.edge_costs(); std::sort(nodes.begin(), nodes.end(), [&](NodeId a, NodeId b) { const Cost pa = pot(a); const Cost pb = pot(b); @@ -686,30 +686,30 @@ Walk extract(Workspace& ws, const Graph& g, Pot pot, Cost total, const PriorityF }); std::sort(edges.begin(), edges.end()); const std::size_t k = nodes.size(); - for (std::size_t i = 0; i < k; ++i) ws.loc[static_cast(nodes[i])] = static_cast(i); - auto local = [&](NodeId v) { return static_cast(ws.loc[static_cast(v)]); }; + for (std::size_t i = 0; i < k; ++i) ws.local_positions[static_cast(nodes[i])] = static_cast(i); + auto local = [&](NodeId v) { return static_cast(ws.local_positions[static_cast(v)]); }; // Local CSRs over the edges in ascending EdgeId: out-lists by tail, in-lists by head. - ws.off_out.assign(k + 1, 0); - ws.off_in.assign(k + 1, 0); + ws.outgoing_offsets.assign(k + 1, 0); + ws.incoming_offsets.assign(k + 1, 0); for (EdgeId e : edges) { - ++ws.off_out[local(esrc[static_cast(e)]) + 1]; - ++ws.off_in[local(edst[static_cast(e)]) + 1]; + ++ws.outgoing_offsets[local(esrc[static_cast(e)]) + 1]; + ++ws.incoming_offsets[local(edst[static_cast(e)]) + 1]; } for (std::size_t i = 1; i <= k; ++i) { - ws.off_out[i] += ws.off_out[i - 1]; - ws.off_in[i] += ws.off_in[i - 1]; + ws.outgoing_offsets[i] += ws.outgoing_offsets[i - 1]; + ws.incoming_offsets[i] += ws.incoming_offsets[i - 1]; } - ws.idx_out.resize(edges.size()); - ws.idx_in.resize(edges.size()); + ws.outgoing_edge_positions.resize(edges.size()); + ws.incoming_edge_positions.resize(edges.size()); ws.hops.assign(k, 0); // reused as the fill cursors, then as h for (std::size_t p = 0; p < edges.size(); ++p) { const std::size_t t = local(esrc[static_cast(edges[p])]); - ws.idx_out[static_cast(ws.off_out[t] + ws.hops[t]++)] = static_cast(p); + ws.outgoing_edge_positions[static_cast(ws.outgoing_offsets[t] + ws.hops[t]++)] = static_cast(p); } std::fill(ws.hops.begin(), ws.hops.end(), 0); for (std::size_t p = 0; p < edges.size(); ++p) { const std::size_t h = local(edst[static_cast(edges[p])]); - ws.idx_in[static_cast(ws.off_in[h] + ws.hops[h]++)] = static_cast(p); + ws.incoming_edge_positions[static_cast(ws.incoming_offsets[h] + ws.hops[h]++)] = static_cast(p); } ws.keep_edge.assign(edges.size(), 1); if (prio != nullptr) { @@ -721,8 +721,8 @@ Walk extract(Workspace& ws, const Graph& g, Pot pot, Cost total, const PriorityF } for (std::size_t i = 0; i < k; ++i) { if (ws.has_best[i] == 0) continue; - for (auto s = ws.off_out[i]; s < ws.off_out[i + 1]; ++s) { - const EdgeId e = edges[static_cast(ws.idx_out[static_cast(s)])]; + for (auto s = ws.outgoing_offsets[i]; s < ws.outgoing_offsets[i + 1]; ++s) { + const EdgeId e = edges[static_cast(ws.outgoing_edge_positions[static_cast(s)])]; Priority c = (*prio)(e); if (compare(ws.best[i], c) < 0) c = ws.best[i]; const std::size_t j = local(edst[static_cast(e)]); @@ -751,8 +751,8 @@ Walk extract(Workspace& ws, const Graph& g, Pot pot, Cost total, const PriorityF } for (std::size_t qi = 0; qi < queue.size(); ++qi) { const std::size_t x = local(queue[qi]); - for (auto s = ws.off_in[x]; s < ws.off_in[x + 1]; ++s) { - const auto p = static_cast(ws.idx_in[static_cast(s)]); + for (auto s = ws.incoming_offsets[x]; s < ws.incoming_offsets[x + 1]; ++s) { + const auto p = static_cast(ws.incoming_edge_positions[static_cast(s)]); if (ws.keep_edge[p] == 0) continue; const std::size_t y = local(esrc[static_cast(edges[p])]); if (h[y] < 0) { @@ -763,8 +763,8 @@ Walk extract(Workspace& ws, const Graph& g, Pot pot, Cost total, const PriorityF } // The first qualifying out-edge of a node (out-lists ascending: its smallest), or -1. auto next_edge = [&](std::size_t x) -> EdgeId { - for (auto s = ws.off_out[x]; s < ws.off_out[x + 1]; ++s) { - const auto p = static_cast(ws.idx_out[static_cast(s)]); + for (auto s = ws.outgoing_offsets[x]; s < ws.outgoing_offsets[x + 1]; ++s) { + const auto p = static_cast(ws.outgoing_edge_positions[static_cast(s)]); if (ws.keep_edge[p] == 0) continue; const EdgeId e = edges[p]; if (h[local(edst[static_cast(e)])] == h[x] - 1) return e; @@ -802,70 +802,70 @@ Walk extract(Workspace& ws, const Graph& g, Pot pot, Cost total, const PriorityF } // The live (allowed) members of a sorted node set. -std::vector live(std::span set, const Eligibility* elig) { +std::vector allowed_nodes(std::span set, const Eligibility* eligibility) { std::vector out; out.reserve(set.size()); for (NodeId v : set) { - if (elig == nullptr || elig->node_ok(v)) out.push_back(v); + if (eligibility == nullptr || eligibility->allows_node(v)) out.push_back(v); } return out; } -Emit emit_of(const Graph& g, Direction direction, const PathSelection& selection, const PriorityFn& prio) { - Emit em; - em.g = &g; +SearchOutputOptions emit_of(const Graph& graph, Direction direction, const RouteChoice& choice, const PriorityReader& prio) { + SearchOutputOptions em; + em.graph = &graph; em.forward = direction == Direction::Forward; - em.collapse = !selection.multi_edge; - em.prefer = selection.tie_break == EdgeTieBreak::PreferHigherPriority; - em.prio = prio; + em.collapse_parallel_edges = !choice.parallel_edges; + em.prefer_priority = choice.prefers_score(); + em.priority = prio; return em; } -// One KSP spur search: the canonical walk from `spur` to `dst` over the +// One KSP spur search: the canonical walk from `spur` to `destination` over the // candidates of `gate`, without the excluded prefix nodes, with the spur node's banned // transitions (Expand: the banned edges; Collapse: every edge to a banned head, no re-selection), -// B* capped by `cap` (the root prefix's bottleneck). nullopt when dst is unreachable. -std::optional spur_walk(const Graph& g, const Gate& gate, const PathSelection& selection, const PriorityFn& prio, - NodeId spur, NodeId dst, std::span excluded, std::span banned, +// B* capped by `cap` (the root prefix's bottleneck). nullopt when `destination` is unreachable. +std::optional spur_walk(const Graph& graph, const SearchFilter& gate, const RouteChoice& choice, const PriorityReader& prio, + NodeId spur, NodeId destination, std::span excluded, std::span banned, const Priority* cap) { - Lease lease(static_cast(g.num_nodes())); - Workspace& ws = lease.ws(); - mark(ws, dst, kTarget); + SearchWorkspaceLease lease(static_cast(graph.num_nodes())); + SearchWorkspace& ws = lease.workspace(); + mark(ws, destination, kTarget); for (NodeId v : excluded) mark(ws, v, kExcluded); Spur rule; rule.node = spur; - if (selection.multi_edge) { + if (choice.parallel_edges) { rule.banned_edges = banned; } else { rule.ban_heads = true; - for (EdgeId e : banned) mark(ws, g.edge_dst()[static_cast(e)], kBannedHead); + for (EdgeId e : banned) mark(ws, graph.edge_destinations()[static_cast(e)], kBannedHead); } const NodeId roots[1] = {spur}; - SearchIn in; - in.g = &g; - in.gate = gate; + SearchInput in; + in.graph = &graph; + in.filter = gate; in.roots = roots; in.targets = true; in.spur = &rule; - const Cost dstar = run(ws, in); + const Cost dstar = run_search(ws, in); if (dstar == kInf) return std::nullopt; - const Emit em = emit_of(g, Direction::Forward, selection, prio); - const NodeId targets[1] = {dst}; + const SearchOutputOptions em = emit_of(graph, Direction::Forward, choice, prio); + const NodeId targets[1] = {destination}; prune(ws, em, targets, dstar); - const bool prefer = selection.tie_break == EdgeTieBreak::PreferHigherPriority; - return extract(ws, g, [&](NodeId v) { return ws.dist[static_cast(v)]; }, dstar, + const bool prefer = choice.prefers_score(); + return extract(ws, graph, [&](NodeId v) { return ws.distances[static_cast(v)]; }, dstar, prefer ? &prio : nullptr, cap); } // The walks of resolve_to_paths (validated inputs): see the public function. -std::vector enumerate_paths(const Graph& g, const PredDAG& dag, NodeId src, NodeId dst, bool split, +std::vector enumerate_paths(const Graph& graph, const PredecessorDAG& dag, NodeId source, NodeId destination, bool split, std::optional max_paths) { - const auto children = PredDAGBuilder::member_nodes(dag); - const auto offsets = PredDAGBuilder::member_offsets(dag); + const auto children = PredecessorDAGBuilder::member_nodes(dag); + const auto offsets = PredecessorDAGBuilder::member_offsets(dag); const auto parents = dag.parents(); const auto via = dag.via_edges(); - const auto cost = g.cost(); + const auto cost = graph.edge_costs(); std::vector out; // The entries of a child: [offsets[i], offsets[i + 1]) for children[i], none for another node. auto entries_of = [&](NodeId v) -> std::pair { @@ -874,16 +874,16 @@ std::vector enumerate_paths(const Graph& g, const PredDAG& dag, NodeId src const auto i = static_cast(it - children.begin()); return {offsets[i], offsets[i + 1]}; }; - Lease lease(static_cast(g.num_nodes())); - Workspace& ws = lease.ws(); - // The nodes that reach dst inside the DAG (the walk back over the entries), local index by + SearchWorkspaceLease lease(static_cast(graph.num_nodes())); + SearchWorkspace& ws = lease.workspace(); + // The nodes that reach destination inside the DAG (the walk back over the entries), local index by // discovery. auto& kept = ws.kept; kept.clear(); ws.stack.clear(); - mark(ws, dst, kKeep); - kept.push_back(dst); - ws.stack.push_back(dst); + mark(ws, destination, kKeep); + kept.push_back(destination); + ws.stack.push_back(destination); while (!ws.stack.empty()) { const NodeId v = ws.stack.back(); ws.stack.pop_back(); @@ -896,9 +896,9 @@ std::vector enumerate_paths(const Graph& g, const PredDAG& dag, NodeId src ws.stack.push_back(u); } } - if ((ws.flags[static_cast(src)] & kKeep) == 0) return out; // src is not on a walk to dst - for (std::size_t i = 0; i < kept.size(); ++i) ws.loc[static_cast(kept[i])] = static_cast(i); - auto local = [&](NodeId v) { return static_cast(ws.loc[static_cast(v)]); }; + if ((ws.flags[static_cast(source)] & kKeep) == 0) return out; // source is not on a walk to destination + for (std::size_t i = 0; i < kept.size(); ++i) ws.local_positions[static_cast(kept[i])] = static_cast(i); + auto local = [&](NodeId v) { return static_cast(ws.local_positions[static_cast(v)]); }; // The hops: per child, its entries come in ascending via, so grouped by parent (EdgeIds rank by // source first); a hop is one parent's run (its members ascending, its cost the cheapest, its // key the lowest id), or one member when split. @@ -943,32 +943,32 @@ std::vector enumerate_paths(const Graph& g, const PredDAG& dag, NodeId src out_hop[static_cast(fill[static_cast(hops[h].tail)]++)] = static_cast(h); } } - // A completion is a walk suffix from a node to dst. Per node: the completions found so far + // A completion is a walk suffix from a node to destination. Per node: the completions found so far // (sorted) and a heap holding the next completion through each hop. - struct Elem { + struct PathCompletion { Cost cost; std::int64_t hops; - std::int32_t hop; // -1: the empty completion of dst + std::int32_t hop; // -1: the empty completion of destination std::int64_t rank; // the completion of the hop's head this one extends }; - struct Next { + struct CompletionCandidate { Cost cost; std::int64_t hops; EdgeId key; std::int32_t hop; std::int64_t rank; }; - auto after = [](const Next& a, const Next& b) { // a pops after b: (cost, hops, key) ascending + auto after = [](const CompletionCandidate& a, const CompletionCandidate& b) { // a pops after b: (cost, hops, key) ascending if (a.cost != b.cost) return a.cost > b.cost; if (a.hops != b.hops) return a.hops > b.hops; return a.key > b.key; }; - std::vector> list(n); - std::vector> heap(n); + std::vector> list(n); + std::vector> heap(n); std::vector ready(n, 0); - const std::size_t t = local(dst); + const std::size_t t = local(destination); list[t].push_back({0, 0, -1, -1}); - ready[t] = 1; // a walk ends at dst: its out-hops never extend a completion + ready[t] = 1; // a walk ends at destination: its out-hops never extend a completion auto offer = [&](std::size_t x, std::int32_t h, std::int64_t rank) { const auto& s = list[static_cast(hops[static_cast(h)].head)][static_cast(rank)]; heap[x].push_back({hops[static_cast(h)].cost + s.cost, s.hops + 1, hops[static_cast(h)].key, h, rank}); @@ -1026,7 +1026,7 @@ std::vector enumerate_paths(const Graph& g, const PredDAG& dag, NodeId src break; } std::pop_heap(hx.begin(), hx.end(), after); - const Next c = hx.back(); + const CompletionCandidate c = hx.back(); hx.pop_back(); list[f.x].push_back({c.cost, c.hops, c.hop, c.rank}); frames[top].stage = 4; @@ -1043,80 +1043,80 @@ std::vector enumerate_paths(const Graph& g, const PredDAG& dag, NodeId src } return ret; }; - const std::size_t s = local(src); + const std::size_t s = local(source); for (std::int64_t j = 0; !max_paths.has_value() || j < *max_paths; ++j) { if (!get(s, j)) break; std::vector> walk; std::size_t x = s; std::int64_t idx = j; while (x != t) { - const Elem& e = list[x][static_cast(idx)]; + const PathCompletion& e = list[x][static_cast(idx)]; const Hop& h = hops[static_cast(e.hop)]; walk.emplace_back(via.begin() + h.first, via.begin() + h.first + h.count); x = static_cast(h.head); idx = e.rank; } - out.push_back(PathBuilder::of_hops(g, std::move(walk))); + out.push_back(PathBuilder::of_hops(graph, std::move(walk))); } return out; } } // namespace -std::optional route_search(const Graph& g, const Gate& gate, const PathSelection& selection, NodeId src, - std::span dests) { - if (dests.empty()) return std::nullopt; - const PriorityValues values {&g, selection.priority, gate.residual}; - const PriorityFn prio = PriorityFn::of(values); - Lease lease(static_cast(g.num_nodes())); - Workspace& ws = lease.ws(); - for (NodeId t : dests) mark(ws, t, kTarget); - const NodeId roots[1] = {src}; - SearchIn in; - in.g = &g; - in.gate = gate; +std::optional route_search(const Graph& graph, const SearchFilter& gate, const RouteChoice& choice, NodeId source, + std::span destinations) { + if (destinations.empty()) return std::nullopt; + const PriorityValues values {&graph, choice.tie_break, gate.residual}; + const PriorityReader prio = PriorityReader::of(values); + SearchWorkspaceLease lease(static_cast(graph.num_nodes())); + SearchWorkspace& ws = lease.workspace(); + for (NodeId t : destinations) mark(ws, t, kTarget); + const NodeId roots[1] = {source}; + SearchInput in; + in.graph = &graph; + in.filter = gate; in.roots = roots; in.targets = true; - const Cost dstar = run(ws, in); + const Cost dstar = run_search(ws, in); if (dstar == kInf) return std::nullopt; - const Emit em = emit_of(g, Direction::Forward, selection, prio); - prune(ws, em, dests, dstar); + const SearchOutputOptions em = emit_of(graph, Direction::Forward, choice, prio); + prune(ws, em, destinations, dstar); SearchRoute out; out.cost = dstar; - const bool prefer = selection.tie_break == EdgeTieBreak::PreferHigherPriority; - auto walk = extract(ws, g, [&](NodeId v) { return ws.dist[static_cast(v)]; }, dstar, + const bool prefer = choice.prefers_score(); + auto walk = extract(ws, graph, [&](NodeId v) { return ws.distances[static_cast(v)]; }, dstar, prefer ? &prio : nullptr, nullptr); out.edges = std::move(walk.edges); return out; } -SearchRoute support_route(const Graph& g, std::span support, NodeId src, std::span dests, - const PathSelection& selection, PriorityFn view) { - const auto row = g.row_offsets(); - const auto edst = g.edge_dst(); - const auto esrc = g.edge_src(); - const auto cost = g.cost(); - Lease lease(static_cast(g.num_nodes())); - Workspace& ws = lease.ws(); - for (NodeId t : dests) mark(ws, t, kTarget); - // The part of the support reachable from src: every walk of a support from one node has one +SearchRoute support_route(const Graph& graph, std::span support, NodeId source, std::span destinations, + const RouteChoice& choice, PriorityReader view) { + const auto row = graph.outgoing_offsets(); + const auto edst = graph.edge_destinations(); + const auto esrc = graph.edge_sources(); + const auto cost = graph.edge_costs(); + SearchWorkspaceLease lease(static_cast(graph.num_nodes())); + SearchWorkspace& ws = lease.workspace(); + for (NodeId t : destinations) mark(ws, t, kTarget); + // The part of the support reachable from source: every walk of a support from one node has one // cost to each node it reaches (the support is a reverse multipath DAG), so the order of the - // walk assigns each node its distance from src exactly. + // walk assigns each node its distance from source exactly. auto& route = ws.pruned; route.clear(); ws.kept.clear(); ws.stack.clear(); - mark(ws, src, kKeep); - ws.kept.push_back(src); - ws.touched.push_back(src); - ws.dist[static_cast(src)] = 0; - ws.stack.push_back(src); + mark(ws, source, kKeep); + ws.kept.push_back(source); + ws.touched.push_back(source); + ws.distances[static_cast(source)] = 0; + ws.stack.push_back(source); Cost total = kInf; while (!ws.stack.empty()) { const NodeId u = ws.stack.back(); ws.stack.pop_back(); const auto ui = static_cast(u); - if ((ws.flags[ui] & kTarget) != 0) total = ws.dist[ui]; + if ((ws.flags[ui] & kTarget) != 0) total = ws.distances[ui]; auto it = std::lower_bound(support.begin(), support.end(), row[ui]); for (; it != support.end() && *it < row[ui + 1]; ++it) { route.push_back(*it); @@ -1126,18 +1126,18 @@ SearchRoute support_route(const Graph& g, std::span support, NodeI mark(ws, v, kKeep); ws.kept.push_back(v); ws.touched.push_back(v); - ws.dist[vi] = ws.dist[ui] + cost[static_cast(*it)]; + ws.distances[vi] = ws.distances[ui] + cost[static_cast(*it)]; ws.stack.push_back(v); } } SearchRoute out; if (total == kInf) return out; // no destination reached (the roster excludes such a source) std::sort(route.begin(), route.end()); - const bool prefer = selection.tie_break == EdgeTieBreak::PreferHigherPriority; - if (!selection.multi_edge) { - // One member per (u, v) by select_adjacency on the view (no gating: the support's members are + const bool prefer = choice.prefers_score(); + if (!choice.parallel_edges) { + // One member per (u, v) by replaces() on the view (no gating: the support's members are // all statically eligible). The members of a pair in the support have one cost, so they are - // consecutive in id order (EdgeIds rank by (src, cost, dst, input)). + // consecutive in id order (EdgeIds rank by (source, cost, destination, input)). std::size_t w = 0; for (std::size_t i = 0; i < route.size();) { const auto ei = static_cast(route[i]); @@ -1146,7 +1146,7 @@ SearchRoute support_route(const Graph& g, std::span support, NodeI for (; j < route.size() && esrc[static_cast(route[j])] == esrc[ei] && edst[static_cast(route[j])] == edst[ei]; ++j) { - if (replaces(g, route[j], best, prefer, view)) best = route[j]; + if (replaces(graph, route[j], best, prefer, view)) best = route[j]; } route[w++] = best; i = j; @@ -1154,61 +1154,62 @@ SearchRoute support_route(const Graph& g, std::span support, NodeI route.resize(w); } out.cost = total; - if (!selection.single_path()) { + if (!choice.single_path()) { out.edges = route; return out; } - auto walk = extract(ws, g, [&](NodeId v) { return ws.dist[static_cast(v)]; }, total, + auto walk = extract(ws, graph, [&](NodeId v) { return ws.distances[static_cast(v)]; }, total, prefer ? &view : nullptr, nullptr); out.edges = std::move(walk.edges); std::sort(out.edges.begin(), out.edges.end()); return out; } -PredDAG static_support(const Graph& g, std::span roots, Direction direction, const Eligibility* elig) { - const auto live_roots = live(roots, elig); - if (live_roots.empty()) return PredDAGBuilder::empty(g); - Lease lease(static_cast(g.num_nodes())); - Workspace& ws = lease.ws(); - SearchIn in; - in.g = &g; - in.gate.elig = elig; +PredecessorDAG static_support(const Graph& graph, std::span roots, Direction direction, const Eligibility* eligibility) { + const auto live_roots = allowed_nodes(roots, eligibility); + if (live_roots.empty()) return PredecessorDAGBuilder::empty(graph); + SearchWorkspaceLease lease(static_cast(graph.num_nodes())); + SearchWorkspace& ws = lease.workspace(); + SearchInput in; + in.graph = &graph; + in.filter.eligibility = eligibility; in.direction = direction; in.roots = live_roots; - (void)run(ws, in); - Emit em; - em.g = &g; + (void)run_search(ws, in); + SearchOutputOptions em; + em.graph = &graph; em.forward = direction == Direction::Forward; return emit_full(ws, em); } -std::vector static_costs(const Graph& g, const Eligibility* elig, std::span dests, +std::vector static_costs(const Graph& graph, const Eligibility* eligibility, std::span destinations, std::span sources) { std::vector out(sources.size(), kInf); - const auto roots = live(dests, elig); + const auto roots = allowed_nodes(destinations, eligibility); if (roots.empty()) return out; - Lease lease(static_cast(g.num_nodes())); - Workspace& ws = lease.ws(); - SearchIn in; - in.g = &g; - in.gate.elig = elig; + SearchWorkspaceLease lease(static_cast(graph.num_nodes())); + SearchWorkspace& ws = lease.workspace(); + SearchInput in; + in.graph = &graph; + in.filter.eligibility = eligibility; in.direction = Direction::Reverse; in.roots = roots; - in.lists = false; - (void)run(ws, in); - for (std::size_t i = 0; i < sources.size(); ++i) out[i] = ws.dist[static_cast(sources[i])]; + in.collect_predecessors = false; + (void)run_search(ws, in); + for (std::size_t i = 0; i < sources.size(); ++i) out[i] = ws.distances[static_cast(sources[i])]; return out; } void check_ceiling(const std::optional& ceiling) { if (!ceiling.has_value()) return; - if (const auto* a = std::get_if(&*ceiling)) { - if (a->cost < 0) throw std::invalid_argument("max_path_cost Absolute cost must be >= 0 (got " + std::to_string(a->cost) + ")"); + if (const auto* a = std::get_if(&*ceiling)) { + if (a->cost < 0) throw std::invalid_argument("cost_ceiling AbsoluteCost cost must be >= 0 (got " + std::to_string(a->cost) + ")"); return; } - const double f = std::get(*ceiling).factor; - if (!(f >= 1.0) || !std::isfinite(f)) { - throw std::invalid_argument("max_path_cost Stretch factor must be finite and in [1, inf) (got " + std::to_string(f) + ")"); + const auto& f = std::get(*ceiling); + if (f.numerator() < f.denominator()) { + throw std::invalid_argument("cost_ceiling CostStretch factor must be >= 1 (got " + std::to_string(f.numerator()) + "/" + + std::to_string(f.denominator()) + ")"); } } @@ -1216,138 +1217,136 @@ void check_ceiling(const std::optional& ceiling) { namespace netgraph::core { -// The selection of a search (options.hpp): its two enum-typed fields inside their enumerations. -PathSelection::PathSelection(EdgeTieBreak tie_break_, EdgePriority priority_, std::optional multipath_, - bool multi_edge_) - : tie_break(tie_break_), priority(priority_), multipath(multipath_), multi_edge(multi_edge_) { - detail::check_member(tie_break, "tie_break"); - detail::check_member(priority, "priority"); -} - -SpfOptions::SpfOptions(Direction direction_, PathSelection selection_) : direction(direction_), selection(selection_) { +SpfOptions::SpfOptions(Direction direction_) : direction(direction_) { detail::check_member(direction, "direction"); } -SpfResult spf(const Graph& g, std::span roots, const SpfOptions& opts, SpfQueue queue) { +SpfResult spf(const Graph& graph, std::span roots, const SpfOptions& options, SpfQueue queue) { using namespace detail; - check_member(opts.direction, "direction"); - check_selection(opts.selection); + check_member(options.direction, "direction"); + check_member(options.tie_break, "tie_break"); check_member(queue, "queue"); - const auto root_set = node_set(roots, g.num_nodes(), "roots"); + const auto root_set = node_set(roots, graph.num_nodes(), "roots"); std::vector target_set; - if (opts.targets.has_value()) { - target_set = node_set(*opts.targets, g.num_nodes(), "targets"); + if (options.targets.has_value()) { + target_set = node_set(*options.targets, graph.num_nodes(), "targets"); check_disjoint(root_set, target_set, "roots", "targets"); - } else if (opts.selection.single_path()) { + } else if (!options.multipath) { throw std::invalid_argument("multipath = false requires targets (the single path joins a root to a target)"); } - const std::span residual = opts.residual.value_or(std::span {}); - if (opts.residual.has_value()) check_edge_amounts(g, residual, "residual"); - if (opts.min_residual < 1) { - throw std::invalid_argument("min_residual must be at least 1 unit (got " + std::to_string(opts.min_residual) + ")"); + const RouteChoice choice {options.tie_break, options.multipath, options.parallel_edges}; + if (choice.tie_is_ineffective()) { + throw std::invalid_argument("spf tie_break requires multipath=False or parallel_edges=False"); + } + const std::span residual = options.residual.value_or(std::span {}); + if (options.residual.has_value()) check_edge_amounts(graph, residual, "residual"); + if (options.min_residual < 1) { + throw std::invalid_argument("min_residual must be at least 1 unit (got " + std::to_string(options.min_residual) + ")"); } - if (opts.elig != nullptr && opts.elig->graph_uid() != g.uid()) { + if (options.eligibility != nullptr && options.eligibility->graph_uid() != graph.uid()) { throw std::invalid_argument("foreign Eligibility: built for another graph"); } - const PriorityValues values {&g, opts.selection.priority, residual}; - const PriorityFn prio = PriorityFn::of(values); - const Emit em = emit_of(g, opts.direction, opts.selection, prio); - const auto live_roots = live(root_set, opts.elig); - SearchIn in; - in.g = &g; - in.gate = Gate {opts.elig, residual, opts.min_residual}; - in.direction = opts.direction; + const PriorityValues values {&graph, choice.tie_break, residual}; + const PriorityReader prio = PriorityReader::of(values); + const SearchOutputOptions em = emit_of(graph, options.direction, choice, prio); + const auto live_roots = allowed_nodes(root_set, options.eligibility); + SearchInput in; + in.graph = &graph; + in.filter = SearchFilter {options.eligibility, residual, options.min_residual}; + in.direction = options.direction; in.queue = queue; in.roots = live_roots; - if (!opts.targets.has_value()) { - const auto n = static_cast(g.num_nodes()); + if (!options.targets.has_value()) { + const auto n = static_cast(graph.num_nodes()); if (live_roots.empty()) { - return SpfResult {std::vector(n, kUnreachable), PredDAGBuilder::empty(g), std::nullopt}; + return SpfResult {std::vector(n, kUnreachable), PredecessorDAGBuilder::empty(graph), std::nullopt}; } - Lease lease(n); - Workspace& ws = lease.ws(); - (void)run(ws, in); - std::vector costs(ws.dist.begin(), ws.dist.begin() + static_cast(n)); - PredDAG dag = emit_full(ws, em); + SearchWorkspaceLease lease(n); + SearchWorkspace& ws = lease.workspace(); + (void)run_search(ws, in); + std::vector costs(ws.distances.begin(), ws.distances.begin() + static_cast(n)); + PredecessorDAG dag = emit_full(ws, em); return SpfResult {std::move(costs), std::move(dag), std::nullopt}; } - const auto live_targets = live(target_set, opts.elig); - if (live_roots.empty() || live_targets.empty()) return SpfResult {std::nullopt, PredDAGBuilder::empty(g), kUnreachable}; - Lease lease(static_cast(g.num_nodes())); - Workspace& ws = lease.ws(); + const auto live_targets = allowed_nodes(target_set, options.eligibility); + if (live_roots.empty() || live_targets.empty()) return SpfResult {std::nullopt, PredecessorDAGBuilder::empty(graph), kUnreachable}; + SearchWorkspaceLease lease(static_cast(graph.num_nodes())); + SearchWorkspace& ws = lease.workspace(); for (NodeId t : live_targets) mark(ws, t, kTarget); in.targets = true; - const Cost dstar = run(ws, in); - if (dstar == kInf) return SpfResult {std::nullopt, PredDAGBuilder::empty(g), kUnreachable}; + const Cost dstar = run_search(ws, in); + if (dstar == kInf) return SpfResult {std::nullopt, PredecessorDAGBuilder::empty(graph), kUnreachable}; prune(ws, em, live_targets, dstar); - if (!opts.selection.single_path()) return SpfResult {std::nullopt, PredDAGBuilder::of_edges(g, ws.pruned), dstar}; + if (!choice.single_path()) return SpfResult {std::nullopt, PredecessorDAGBuilder::of_edges(graph, ws.pruned), dstar}; // The walks run from the walk starts (Forward: the roots; Reverse: the targets) to the ends; // the potential is the forward distance from the starts (Reverse: d* - the distance to the roots). - const bool prefer = opts.selection.tie_break == EdgeTieBreak::PreferHigherPriority; + const bool prefer = choice.prefers_score(); Walk walk; - if (opts.direction == Direction::Forward) { - walk = extract(ws, g, [&](NodeId v) { return ws.dist[static_cast(v)]; }, dstar, + if (options.direction == Direction::Forward) { + walk = extract(ws, graph, [&](NodeId v) { return ws.distances[static_cast(v)]; }, dstar, prefer ? &prio : nullptr, nullptr); } else { - walk = extract(ws, g, [&](NodeId v) { return dstar - ws.dist[static_cast(v)]; }, dstar, + walk = extract(ws, graph, [&](NodeId v) { return dstar - ws.distances[static_cast(v)]; }, dstar, prefer ? &prio : nullptr, nullptr); } - return SpfResult {std::nullopt, PredDAGBuilder::of_edges(g, walk.edges), dstar}; + return SpfResult {std::nullopt, PredecessorDAGBuilder::of_edges(graph, walk.edges), dstar}; } -KspOptions::KspOptions(std::int64_t k_, PathSelection selection_) : k(k_), selection(selection_) {} +KspOptions::KspOptions(std::int64_t k_) : k(k_) {} -std::vector> ksp(const Graph& g, NodeId src, NodeId dst, const KspOptions& opts) { +std::vector> ksp(const Graph& graph, NodeId source, NodeId destination, const KspOptions& options) { using namespace detail; - check_selection(opts.selection); - const NodeId s1[1] = {src}; - const NodeId t1[1] = {dst}; - check_range(s1, g.num_nodes(), "src"); - check_range(t1, g.num_nodes(), "dst"); - check_disjoint(s1, t1, "src", "dst"); - if (opts.k < 1) throw std::invalid_argument("k must be >= 1 (got " + std::to_string(opts.k) + ")"); - check_ceiling(opts.max_path_cost); - const std::span residual = opts.residual.value_or(std::span {}); - if (opts.residual.has_value()) check_edge_amounts(g, residual, "residual"); - if (opts.elig != nullptr && opts.elig->graph_uid() != g.uid()) { + check_member(options.tie_break, "tie_break"); + const NodeId s1[1] = {source}; + const NodeId t1[1] = {destination}; + check_range(s1, graph.num_nodes(), "source"); + check_range(t1, graph.num_nodes(), "destination"); + check_disjoint(s1, t1, "source", "destination"); + if (options.k < 1) throw std::invalid_argument("k must be >= 1 (got " + std::to_string(options.k) + ")"); + check_ceiling(options.cost_ceiling); + const std::span residual = options.residual.value_or(std::span {}); + if (options.residual.has_value()) check_edge_amounts(graph, residual, "residual"); + if (options.eligibility != nullptr && options.eligibility->graph_uid() != graph.uid()) { throw std::invalid_argument("foreign Eligibility: built for another graph"); } std::vector> out; - if (opts.elig != nullptr && (!opts.elig->node_ok(src) || !opts.elig->node_ok(dst))) return out; - // The ceiling: Absolute(c), or Stretch(f) times the static shortest cost of the member graph + if (options.eligibility != nullptr && (!options.eligibility->allows_node(source) || !options.eligibility->allows_node(destination))) return out; + // The ceiling: AbsoluteCost(c), or CostStretch(f) times the static shortest cost of the member graph // under the Eligibility (residual ignored, as for T1's ceiling); no static route // gives []. - const auto* absolute = opts.max_path_cost.has_value() ? std::get_if(&*opts.max_path_cost) : nullptr; - const auto* stretch = opts.max_path_cost.has_value() ? std::get_if(&*opts.max_path_cost) : nullptr; + const auto* absolute = options.cost_ceiling.has_value() ? std::get_if(&*options.cost_ceiling) : nullptr; + const auto* stretch = options.cost_ceiling.has_value() ? std::get_if(&*options.cost_ceiling) : nullptr; Cost base = 0; if (stretch != nullptr) { - base = static_costs(g, opts.elig, t1, s1)[0]; + base = static_costs(graph, options.eligibility, t1, s1)[0]; if (base == kUnreachable) return out; } auto within = [&](Cost c) { if (absolute != nullptr) return c <= absolute->cost; - if (stretch != nullptr) return stretch_le(c, base, stretch->factor); + if (stretch != nullptr) return stretch_le(c, base, stretch->numerator(), stretch->denominator()); return true; }; - const Gate gate {opts.elig, residual, 1}; // KSP gates a supplied residual at 1 unit - const PriorityValues values {&g, opts.selection.priority, residual}; - const PriorityFn prio = PriorityFn::of(values); - const bool prefer = opts.selection.tie_break == EdgeTieBreak::PreferHigherPriority; + const SearchFilter gate {options.eligibility, residual, 1}; // KSP gates a supplied residual at 1 unit + // ksp always orders single paths: multipath is not one of its options. + const RouteChoice choice {options.tie_break, false, options.parallel_edges}; + const PriorityValues values {&graph, choice.tie_break, residual}; + const PriorityReader prio = PriorityReader::of(values); + const bool prefer = choice.prefers_score(); // Yen's method finds alternatives by keeping a prefix and replacing its suffix at a spur. // The first path and each spur suffix use the canonical search with that spur's exclusions. // Match prefixes by EdgeId sequence. Ban the next edge of every accepted matching path // (Expand), or its entire (u, v) transition (Collapse); exclude earlier prefix vertices to // prevent cycles. Store candidates once in a set ordered by (cost, decreasing bottleneck - // under PreferHigherPriority, hops, EdgeId sequence). - struct Cand { + // under a HIGHER_* tie_break, hops, EdgeId sequence). + struct PathCandidate { Cost cost {0}; Priority bottleneck {0, 1, true}; std::vector edges {}; }; - struct CandLess { + struct PathCandidateOrder { bool prefer; - bool operator()(const Cand& a, const Cand& b) const { + bool operator()(const PathCandidate& a, const PathCandidate& b) const { if (a.cost != b.cost) return a.cost < b.cost; if (prefer) { const int c = compare(a.bottleneck, b.bottleneck); @@ -1357,18 +1356,18 @@ std::vector> ksp(const Graph& g, NodeId src, NodeId dst, c return a.edges < b.edges; } }; - auto first = spur_walk(g, gate, opts.selection, prio, src, dst, {}, {}, nullptr); + auto first = spur_walk(graph, gate, choice, prio, source, destination, {}, {}, nullptr); if (!first.has_value() || !within(first->cost)) return out; - std::vector accepted; - accepted.push_back(Cand {first->cost, first->bottleneck, std::move(first->edges)}); - std::set candidates(CandLess {prefer}); - const auto edst = g.edge_dst(); - const auto cost = g.cost(); + std::vector accepted; + accepted.push_back(PathCandidate {first->cost, first->bottleneck, std::move(first->edges)}); + std::set candidates(PathCandidateOrder {prefer}); + const auto edst = graph.edge_destinations(); + const auto cost = graph.edge_costs(); std::vector nodes; std::vector banned; - while (static_cast(accepted.size()) < opts.k) { + while (static_cast(accepted.size()) < options.k) { const std::vector last = accepted.back().edges; - nodes.assign(1, src); + nodes.assign(1, source); for (EdgeId e : last) nodes.push_back(edst[static_cast(e)]); Cost prefix_cost = 0; Priority prefix_bottleneck {0, 1, true}; @@ -1380,10 +1379,10 @@ std::vector> ksp(const Graph& g, NodeId src, NodeId dst, c } } const std::span excluded(nodes.data(), j); - auto sp = spur_walk(g, gate, opts.selection, prio, nodes[j], dst, excluded, banned, + auto sp = spur_walk(graph, gate, choice, prio, nodes[j], destination, excluded, banned, prefer && j > 0 ? &prefix_bottleneck : nullptr); if (sp.has_value()) { - Cand c; + PathCandidate c; c.cost = prefix_cost + sp->cost; c.bottleneck = compare(sp->bottleneck, prefix_bottleneck) < 0 ? sp->bottleneck : prefix_bottleneck; c.edges.assign(last.begin(), last.begin() + static_cast(j)); @@ -1406,23 +1405,23 @@ std::vector> ksp(const Graph& g, NodeId src, NodeId dst, c candidates.erase(best); } out.reserve(accepted.size()); - for (auto& p : accepted) out.emplace_back(p.cost, PathBuilder::of_walk(g, p.edges)); + for (auto& p : accepted) out.emplace_back(p.cost, PathBuilder::of_walk(graph, p.edges)); return out; } -std::vector resolve_to_paths(const Graph& g, const PredDAG& dag, NodeId src, NodeId dst, bool split_parallel_edges, +std::vector resolve_to_paths(const Graph& graph, const PredecessorDAG& dag, NodeId source, NodeId destination, bool split_parallel_edges, std::optional max_paths) { using namespace detail; - if (dag.graph_uid() != g.uid()) throw std::invalid_argument("foreign PredDAG: built for another graph"); - const NodeId s1[1] = {src}; - const NodeId t1[1] = {dst}; - check_range(s1, g.num_nodes(), "src"); - check_range(t1, g.num_nodes(), "dst"); - check_disjoint(s1, t1, "src", "dst"); + if (dag.graph_uid() != graph.uid()) throw std::invalid_argument("foreign PredecessorDAG: built for another graph"); + const NodeId s1[1] = {source}; + const NodeId t1[1] = {destination}; + check_range(s1, graph.num_nodes(), "source"); + check_range(t1, graph.num_nodes(), "destination"); + check_disjoint(s1, t1, "source", "destination"); if (max_paths.has_value() && *max_paths < 1) { throw std::invalid_argument("max_paths must be >= 1 (got " + std::to_string(*max_paths) + ")"); } - return enumerate_paths(g, dag, src, dst, split_parallel_edges, max_paths); + return enumerate_paths(graph, dag, source, destination, split_parallel_edges, max_paths); } } // namespace netgraph::core diff --git a/src/dag_cache.cpp b/src/shortest_path_cache.cpp similarity index 63% rename from src/dag_cache.cpp rename to src/shortest_path_cache.cpp index 7f96540..56d21d5 100644 --- a/src/dag_cache.cpp +++ b/src/shortest_path_cache.cpp @@ -1,9 +1,9 @@ /* - The DagCache: a map from (roots, direction, Eligibility uid) to the full static + The ShortestPathCache: a map from (roots, direction, Eligibility uid) to the full static support of that search, with atomic statistics; building mode (a miss searches and inserts) and frozen mode (read-only: concurrent hits read the map and bump atomic counters, a miss throws). */ -#include "netgraph/core/dag_cache.hpp" +#include "netgraph/core/shortest_path_cache.hpp" #include #include @@ -13,8 +13,8 @@ #include "netgraph/core/detail/cache_access.hpp" #include "netgraph/core/detail/endpoints.hpp" #include "netgraph/core/detail/enum_domain.hpp" -#include "netgraph/core/detail/pred_dag_builder.hpp" -#include "netgraph/core/detail/traversal.hpp" +#include "netgraph/core/detail/route_builders.hpp" +#include "netgraph/core/detail/search_detail.hpp" namespace netgraph::core { @@ -23,7 +23,7 @@ namespace { // Decrements the live-value counter when the last holder of a value lets it go. struct LiveDeleter { std::shared_ptr> live; - void operator()(const PredDAG* dag) const noexcept { + void operator()(const PredecessorDAG* dag) const noexcept { live->fetch_sub(1, std::memory_order_relaxed); delete dag; } @@ -31,24 +31,24 @@ struct LiveDeleter { } // namespace -// The key function of DagCacheMiss (dag_cache.hpp): its vtable and type_info live here only. -const char* DagCacheMiss::what() const noexcept { return what_->c_str(); } +// The key function of ShortestPathCacheMiss (shortest_path_cache.hpp): its vtable and type_info live here only. +const char* ShortestPathCacheMiss::what() const noexcept { return what_->c_str(); } -DagCache::DagCache(const Graph& graph) : graph_uid_(graph.uid()) {} +ShortestPathCache::ShortestPathCache(const Graph& graph) : graph_uid_(graph.uid()) {} -std::shared_ptr DagCache::lookup(const Graph& g, std::span roots, - Direction direction, const Eligibility* elig) { - return lookup_in_call(g, roots, direction, elig, nullptr); +std::shared_ptr ShortestPathCache::lookup(const Graph& graph, std::span roots, + Direction direction, const Eligibility* eligibility) { + return lookup_in_call(graph, roots, direction, eligibility, nullptr); } -std::shared_ptr DagCache::lookup_in_call(const Graph& g, std::span roots, - Direction direction, const Eligibility* elig, - detail::FrozenTally* tally) { +std::shared_ptr ShortestPathCache::lookup_in_call(const Graph& graph, std::span roots, + Direction direction, const Eligibility* eligibility, + detail::FrozenCacheHitTally* tally) { // Inside a public call a frozen cache's statistics wait for the call's boundary. const bool staged = frozen_ && tally != nullptr && tally->cache() == this; // Invalid queries throw before anything is counted. - if (g.uid() != graph_uid_) throw std::invalid_argument("DagCache: the graph is not the cache's graph (foreign graph)"); - if (elig != nullptr && elig->graph_uid() != g.uid()) { + if (graph.uid() != graph_uid_) throw std::invalid_argument("ShortestPathCache: the graph is not the cache's graph (foreign graph)"); + if (eligibility != nullptr && eligibility->graph_uid() != graph.uid()) { throw std::invalid_argument("foreign Eligibility: built for another graph"); } // The roots as a sorted set: borrowed when the caller's span already is one (a hit then copies @@ -57,13 +57,13 @@ std::shared_ptr DagCache::lookup_in_call(const Graph& g, std::spa std::span key_roots = roots; if (roots.empty() || !std::is_sorted(roots.begin(), roots.end()) || std::adjacent_find(roots.begin(), roots.end()) != roots.end()) { - normalised = detail::node_set(roots, g.num_nodes(), "roots"); + normalised = detail::node_set(roots, graph.num_nodes(), "roots"); key_roots = normalised; } else { - detail::check_range(roots, g.num_nodes(), "roots"); + detail::check_range(roots, graph.num_nodes(), "roots"); } detail::check_member(direction, "direction"); - const std::uint64_t elig_uid = elig != nullptr ? elig->uid() : 0; + const std::uint64_t elig_uid = eligibility != nullptr ? eligibility->uid() : 0; const auto it = entries_.find(KeyView {key_roots, direction, elig_uid}); if (it != entries_.end()) { if (staged) { @@ -79,7 +79,7 @@ std::shared_ptr DagCache::lookup_in_call(const Graph& g, std::spa // counts nothing. std::string roots_text; for (NodeId r : key_roots) roots_text += (roots_text.empty() ? "" : ", ") + std::to_string(r); - const DagCacheMiss miss("DagCache: the frozen cache has no entry for roots {" + roots_text + "}, direction " + + const ShortestPathCacheMiss miss("ShortestPathCache: the frozen cache has no entry for roots {" + roots_text + "}, direction " + (direction == Direction::Forward ? "Forward" : "Reverse") + ", Eligibility uid " + std::to_string(elig_uid) + " (a frozen cache never searches)"); if (!staged) misses_.fetch_add(1, std::memory_order_relaxed); @@ -91,31 +91,31 @@ std::shared_ptr DagCache::lookup_in_call(const Graph& g, std::spa Key key {normalised.empty() ? std::vector(key_roots.begin(), key_roots.end()) : std::move(normalised), direction, elig_uid}; misses_.fetch_add(1, std::memory_order_relaxed); - auto value = std::make_unique(detail::static_support(g, std::get<0>(key), direction, elig)); - const auto bytes = static_cast(detail::PredDAGBuilder::payload_bytes(*value)); + auto value = std::make_unique(detail::static_support(graph, std::get<0>(key), direction, eligibility)); + const auto bytes = static_cast(detail::PredecessorDAGBuilder::payload_bytes(*value)); live_->fetch_add(1, std::memory_order_relaxed); // the deleter runs even if the control block fails - std::shared_ptr shared(value.release(), LiveDeleter {live_}); + std::shared_ptr shared(value.release(), LiveDeleter {live_}); entries_.emplace(std::move(key), shared); // strong guarantee: a throw leaves the map unchanged num_entries_.fetch_add(1, std::memory_order_relaxed); bytes_.fetch_add(bytes, std::memory_order_relaxed); return shared; } -void DagCache::freeze() noexcept { frozen_ = true; } +void ShortestPathCache::freeze() noexcept { frozen_ = true; } -void DagCache::thaw() noexcept { frozen_ = false; } +void ShortestPathCache::thaw() noexcept { frozen_ = false; } -void DagCache::clear() { +void ShortestPathCache::clear() { if (frozen_) { throw std::invalid_argument( - "DagCache.clear is rejected while the cache is frozen (join every reader, then thaw() and clear())"); + "ShortestPathCache.clear is rejected while the cache is frozen (join every reader, then thaw() and clear())"); } entries_.clear(); num_entries_.store(0, std::memory_order_relaxed); bytes_.store(0, std::memory_order_relaxed); } -DagCache::Stats DagCache::stats() const noexcept { +ShortestPathCache::Stats ShortestPathCache::stats() const noexcept { Stats s; s.hits = hits_.load(std::memory_order_relaxed); s.misses = misses_.load(std::memory_order_relaxed); diff --git a/src/tunnels_t1.cpp b/src/tunnels_t1.cpp deleted file mode 100644 index ae1a983..0000000 --- a/src/tunnels_t1.cpp +++ /dev/null @@ -1,73 +0,0 @@ -/* - T1 setup (contract 6.2 to 6.4): every head sets up its own strict tunnels, no controller. - - The design volume D is split RR(D, H, i) over the heads and each head's share RR(d, N, j) over - its N tunnels, so tunnels of one head differ by at most one unit. The attempts run in round - order (round j = 0..N-1, the heads ascending within a round), which is also the entry order - j * H + i of the program; every attempt runs even after failures, on the reservation view U - minus the requests of the tunnels already up in this setup. An attempt is one CSPF - (route_search): the allowed edges with U >= max(b, min_unreserved_bandwidth) (no filter at a - threshold of 0), Collapse of parallel members on the filtered candidates, the canonical single - path on static costs (cost, then the bottleneck priority under PreferHigherPriority, fewer hops, - the smaller EdgeId sequence), the priorities reading U. Then the cost ceiling. An up tunnel holds - exactly b on every edge of its path; a down one holds nothing. There is no partial reservation, - retry, growth or count reduction. - - Amounts: U[e] <= capacity < 2^62 and an up tunnel's request is at most U[e] on its edges, so U - stays in [0, 2^62); the requests of one setup sum to D < 2^62. -*/ -#include "netgraph/core/detail/tunnels.hpp" - -#include -#include - -#include "netgraph/core/detail/int128.hpp" -#include "netgraph/core/detail/kernels.hpp" -#include "netgraph/core/detail/traversal.hpp" - -namespace netgraph::core::detail { - -std::vector> head_design(std::span roster, Amount D) { - std::vector> out; - out.reserve(roster.size()); - const auto H = static_cast(roster.size()); - for (std::int64_t i = 0; i < H; ++i) { - out.emplace_back(roster[static_cast(i)], round_robin_share(D, H, i)); - } - return out; -} - -std::vector t1_setup(const Graph& g, const Eligibility* elig, std::span roster, - std::span dests, const PathSelection& selection, - const CapacityAware& ca, Cost c0, Amount D, std::vector U) { - const auto H = static_cast(roster.size()); - const std::int64_t N = ca.tunnels.count; - std::vector out; - out.reserve(static_cast(H * N)); - for (std::int64_t j = 0; j < N; ++j) { - for (std::int64_t i = 0; i < H; ++i) { - SetupTunnel t; - t.slot = static_cast(i); - t.round = static_cast(j); - t.requested = round_robin_share(round_robin_share(D, H, i), N, j); - const Gate gate {elig, U, std::max(t.requested, ca.min_unreserved_bandwidth)}; - auto found = route_search(g, gate, selection, roster[static_cast(i)], dests); - if (!found.has_value()) { - t.status = TunnelStatus::NoBandwidth; - } else if (ca.max_path_cost.has_value() && - (std::holds_alternative(*ca.max_path_cost) - ? found->cost > std::get(*ca.max_path_cost).cost - : !stretch_le(found->cost, c0, std::get(*ca.max_path_cost).factor))) { - t.status = TunnelStatus::CostCeiling; - } else { - t.edges = std::move(found->edges); - t.cost = found->cost; - for (EdgeId e : t.edges) U[static_cast(e)] -= t.requested; - } - out.push_back(std::move(t)); - } - } - return out; -} - -} // namespace netgraph::core::detail diff --git a/tests/cpp/tunnels_t2_tests.cpp b/tests/cpp/centralized_te_tunnels_tests.cpp similarity index 72% rename from tests/cpp/tunnels_t2_tests.cpp rename to tests/cpp/centralized_te_tunnels_tests.cpp index 214acea..b2aeacd 100644 --- a/tests/cpp/tunnels_t2_tests.cpp +++ b/tests/cpp/centralized_te_tunnels_tests.cpp @@ -1,10 +1,10 @@ -// T2 (Global(tunnels=Tunnels(N)), Tunnels(L, up_to)): a controller lays out, for every live head, -// the same number of single-path tunnels with one common whole-unit planned bandwidth (contract -// section 7): the contract's T2 examples and calls (7.4 to 7.9, 8.5), sizing, the objectives and -// the canonical tie, count selection, operations, programs, replays and stale forwarding (8.1, 8.4, -// 8.6), records, rows, flags and terminations (10.4, 14.1, 14.2), T2's evaluators (12), the -// numeric ranges of its sums, zero offers and everything masked. Every -// expected value is derived by hand or copied from the contract's examples, never from a build; +// T2 (CentralizedTE(tunnel_count=TunnelCount(N)), TunnelCount(L, up_to)): a controller lays out, for every live head, +// the same number of single-path tunnels with one common whole-unit planned bandwidth +// (docs/semantics.md, "T2: the controller's equal tunnels"): the worked T2 examples and calls, +// sizing, the objectives and the canonical tie, count selection, operations, programs, replays and +// stale forwarding, records, rows, flags and terminations, T2's evaluators, the numeric ranges of +// its sums, zero offers and everything masked. Every expected value is derived by hand from those +// rules, never from a build; // the property test compares random small cases with t2_reference (test_utils.hpp), a brute force // over path multisets that calls none of the library's flow, search or apportionment code. #include @@ -20,11 +20,11 @@ #include "netgraph/core/detail/ledger_access.hpp" #include "netgraph/core/detail/policy_engine.hpp" -#include "netgraph/core/detail/tunnels.hpp" +#include "netgraph/core/detail/tunnel_setup.hpp" #include "netgraph/core/evaluators.hpp" #include "netgraph/core/flow_ledger.hpp" #include "netgraph/core/flow_policy.hpp" -#include "netgraph/core/program.hpp" +#include "netgraph/core/forwarding_program.hpp" #include "test_utils.hpp" using namespace netgraph::core; @@ -47,13 +47,14 @@ using SourceRow = std::tuple; std::shared_ptr ordered(std::int32_t n, const std::vector& rows) { auto g = shared(make_graph(n, rows)); - for (std::size_t i = 0; i < rows.size(); ++i) EXPECT_EQ(g->input_index()[i], static_cast(i)); + for (std::size_t i = 0; i < rows.size(); ++i) EXPECT_EQ(g->input_positions()[i], static_cast(i)); return g; } +// T2: CentralizedTE with N tunnels per head (the equal source allocation unless given). FlowPolicyConfig t2(std::int64_t n, Admission a = LOSSLESS, bool headroom = false, bool up_to = false, - std::optional origin = std::nullopt) { - return {.routing = Global {.tunnels = Tunnels {n, up_to}, .prefer_headroom = headroom}, .admission = a, .origin = origin}; + SourceAllocation source = SourceAllocation::Equal) { + return {.routing = centralized(source, {}, TunnelCount {n, up_to}, headroom), .admission = a}; } Amount lo(const Counter128& c) { @@ -65,7 +66,7 @@ Int128 wide(const Counter128& c) { return int128_of(static_cast(c. std::vector source_rows(const PlacementResult& r) { std::vector out; - for (const auto& s : r.by_source) out.emplace_back(s.source, lo(s.offered), lo(s.admitted), s.delivered, lo(s.source_loss), lo(s.dropped)); + for (const auto& s : r.by_source) out.emplace_back(s.source, lo(s.offered), lo(s.admitted), s.delivered, lo(s.source_drops), lo(s.total_edge_drops)); return out; } std::vector routes(const ForwardingProgram& p) { @@ -75,7 +76,7 @@ std::vector routes(const ForwardingProgram& p) { } std::vector indices(const ForwardingProgram& p) { std::vector out; - for (const auto& t : p.tunnels()) out.push_back(t.index); + for (const auto& t : p.tunnels()) out.push_back(t.entry_id); return out; } Amounts counts(const ForwardingProgram& p, std::size_t m) { @@ -114,7 +115,7 @@ std::vector g1_paths() { return out; } -// ---------------------------------------------------------------- the contract's examples (X) +// ---------------------------------------------------------------- the worked examples (X) struct Example { std::string id; @@ -176,7 +177,7 @@ std::vector examples() { }; // clang-format: the table stays one row per example } -// Every T2 example of the contract (7.3 to 7.6), with prefer_headroom as the contract runs them. +// Every worked T2 example, each with its own prefer_headroom. TEST(T2Objectives, ContractExamples) { for (const auto& x : examples()) { SCOPED_TRACE(x.id); @@ -186,55 +187,55 @@ TEST(T2Objectives, ContractExamples) { const auto r = p->replace(INF, x.D.has_value() ? std::optional>(x.D) : UNLIMITED); ASSERT_TRUE(r.plan.has_value()); const auto& pl = *r.plan; - EXPECT_EQ(pl.common_share, x.U); - EXPECT_EQ(pl.planned_per_tunnel, x.u); - EXPECT_EQ(pl.fluid_share, x.fluid); - EXPECT_EQ(pl.forwarding_bound, x.F); - EXPECT_EQ(pl.planned_total, x.total); - EXPECT_EQ(lo(pl.route_cost), x.cost); + EXPECT_EQ(pl.max_bandwidth_per_tunnel, x.U); + EXPECT_EQ(pl.planned_bandwidth_per_tunnel, x.u); + EXPECT_EQ(pl.max_fractional_bandwidth_per_tunnel, x.fluid); + EXPECT_EQ(pl.max_lossless_offer, x.F); + EXPECT_EQ(pl.total_planned_bandwidth, x.total); + EXPECT_EQ(lo(pl.total_tunnel_cost), x.cost); if (x.phi.has_value()) EXPECT_EQ(lo(pl.headroom_penalty), *x.phi); EXPECT_EQ(pl.insufficient_resolution, x.U == 0); EXPECT_EQ(routes(*r.program), x.routes); for (const auto& t : r.program->tunnels()) { - EXPECT_EQ(t.planned, x.u); + EXPECT_EQ(t.planned_bandwidth, x.u); EXPECT_EQ(t.weight, 1); EXPECT_EQ(t.status, UP); - EXPECT_EQ(t.requested, 0); - EXPECT_EQ(t.reserved, 0); + EXPECT_EQ(t.requested_bandwidth, 0); + EXPECT_EQ(t.reserved_bandwidth, 0); } - EXPECT_EQ(r.placed, x.F); + EXPECT_EQ(r.call_delivered, x.F); EXPECT_EQ(r.termination, Termination::Exhausted); if (!x.offer.has_value()) continue; auto lossy_ledger = x.free.empty() ? std::make_shared(g) : std::make_shared(g, x.free); auto q = make(g, x.heads, {x.dst}, t2(x.N, LOSSY, true), nullptr, lossy_ledger); const auto s = q->replace(x.offer, x.D.has_value() ? std::optional>(x.D) : UNLIMITED); - EXPECT_EQ(s.placed, x.delivery); - EXPECT_EQ(s.call_source_loss, x.loss); + EXPECT_EQ(s.call_delivered, x.delivery); + EXPECT_EQ(s.call_source_drops, x.loss); EXPECT_EQ(routes(*s.program), x.routes); } } -// The 7.9 call (G1 at q = 2^-12, N = 16, prefer_headroom, Lossy replace(49152)). +// The G1 call (G1 at q = 2^-12, N = 16, prefer_headroom, Lossy replace(49152)). TEST(T2Objectives, ContractCall) { const auto g = g1(); auto p = make(g, {0}, {3}, t2(16, LOSSY, true)); const auto r = p->replace(Amount {49152}); ASSERT_TRUE(r.plan.has_value()); const auto& pl = *r.plan; - EXPECT_EQ(pl.count, 16); + EXPECT_EQ(pl.tunnels_per_head, 16); EXPECT_EQ(pl.design_demand, Amount {49152}); - EXPECT_EQ(pl.head_design, (std::vector> {{0, 49152}})); - EXPECT_EQ(pl.reserved_total, 0); - EXPECT_EQ(pl.live_heads, (std::vector {0})); + EXPECT_EQ(pl.design_by_head, (std::vector> {{0, 49152}})); + EXPECT_EQ(pl.total_reserved_bandwidth, 0); + EXPECT_EQ(pl.heads_with_capacity, (std::vector {0})); EXPECT_EQ(pl.insufficient_resolution, false); - EXPECT_EQ(pl.fluid_share, (std::pair {20480, 7})); - EXPECT_EQ(pl.common_share, 2925); - EXPECT_EQ(pl.planned_per_tunnel, 2925); - EXPECT_EQ(pl.planned_total, 46800); - EXPECT_EQ(lo(pl.route_cost), 32); + EXPECT_EQ(pl.max_fractional_bandwidth_per_tunnel, (std::pair {20480, 7})); + EXPECT_EQ(pl.max_bandwidth_per_tunnel, 2925); + EXPECT_EQ(pl.planned_bandwidth_per_tunnel, 2925); + EXPECT_EQ(pl.total_planned_bandwidth, 46800); + EXPECT_EQ(lo(pl.total_tunnel_cost), 32); EXPECT_EQ(lo(pl.headroom_penalty), 73610035200); - EXPECT_EQ(pl.forwarding_bound, 46812); - EXPECT_EQ(r.placed, 47104); + EXPECT_EQ(pl.max_lossless_offer, 46812); + EXPECT_EQ(r.call_delivered, 47104); EXPECT_EQ(routes(*r.program), g1_paths()); Amounts delivered; for (const auto& t : r.by_tunnel) delivered.push_back(t.delivered); @@ -242,18 +243,18 @@ TEST(T2Objectives, ContractCall) { want.insert(want.end(), 10, 2926); want.insert(want.end(), 4, 2925); EXPECT_EQ(delivered, want); - EXPECT_EQ(r.call_drops, (Pairs {{1, 2048}})); + EXPECT_EQ(r.call_edge_drops, (Pairs {{1, 2048}})); EXPECT_FALSE(r.reservations_changed); } -// A plan books nothing: no hold, no reserved_edges. +// A plan books nothing: no hold, no edge_reservations. TEST(LedgerProjections, T2BooksNothing) { const auto g = g1(); auto p = make(g, {0}, {3}, t2(16, LOSSY, true)); (void)p->replace(Amount {49152}); EXPECT_EQ(p.ledger->reserved(), (Amounts {0, 0, 0, 0})); EXPECT_EQ(p.ledger->unreserved(), (Amounts {8192, 40960, 8192, 40960})); - for (const auto& rec : p->records()) EXPECT_TRUE(rec.reserved_edges.empty()); + for (const auto& rec : p->records()) EXPECT_TRUE(rec.edge_reservations.empty()); EXPECT_EQ(p->records().size(), 16U); } @@ -263,26 +264,26 @@ TEST(T2Objectives, HeadroomOff) { auto p = make(g, {0}, {3}, t2(16, LOSSY)); const auto r = p->replace(Amount {49152}); EXPECT_EQ(counts(*r.program, 4), (Amounts {2, 14, 2, 14})); - EXPECT_EQ(r.plan->forwarding_bound, 46812); - EXPECT_EQ(r.placed, 47104); + EXPECT_EQ(r.plan->max_lossless_offer, 46812); + EXPECT_EQ(r.call_delivered, 47104); EXPECT_FALSE(r.plan->headroom_penalty.has_value()); auto q = make(g, {0}, {3}, t2(16)); const auto s = q->replace(INF, Amount {8192}); - EXPECT_EQ(s.plan->planned_per_tunnel, 512); + EXPECT_EQ(s.plan->planned_bandwidth_per_tunnel, 512); EXPECT_EQ(counts(*s.program, 4), (Amounts {16, 0, 16, 0})); - EXPECT_EQ(s.plan->forwarding_bound, 8192); + EXPECT_EQ(s.plan->max_lossless_offer, 8192); const auto par = ordered(2, {{0, 1, 4, 1}, {0, 1, 12, 1}}); auto h = make(par, {0}, {1}, t2(2, LOSSLESS, true)); const auto a = h->replace(INF, Amount {2}); - EXPECT_EQ(a.plan->common_share, 6); - EXPECT_EQ(a.plan->planned_per_tunnel, 1); + EXPECT_EQ(a.plan->max_bandwidth_per_tunnel, 6); + EXPECT_EQ(a.plan->planned_bandwidth_per_tunnel, 1); EXPECT_EQ(routes(*a.program), (std::vector {{1}, {1}})); - EXPECT_EQ(a.plan->forwarding_bound, 12); + EXPECT_EQ(a.plan->max_lossless_offer, 12); EXPECT_EQ(lo(a.plan->headroom_penalty), 1073741823); auto c = make(par, {0}, {1}, t2(2)); const auto b = c->replace(INF, Amount {2}); EXPECT_EQ(routes(*b.program), (std::vector {{0}, {0}})); - EXPECT_EQ(b.plan->forwarding_bound, 4); + EXPECT_EQ(b.plan->max_lossless_offer, 4); } // prefer_headroom off and on: two equal-cost parallel links of 10, one head, N = 2, D = 2: U = 10, @@ -295,14 +296,14 @@ TEST(T2Objectives, PreferHeadroomExample) { SCOPED_TRACE(on); auto p = make(g, {0}, {1}, t2(2, LOSSY, on)); const auto r = p->replace(Amount {12}, Amount {2}); - EXPECT_EQ(r.plan->common_share, 10); - EXPECT_EQ(r.plan->planned_per_tunnel, 1); - EXPECT_EQ(r.plan->planned_total, 2); - EXPECT_EQ(lo(r.plan->route_cost), 2); + EXPECT_EQ(r.plan->max_bandwidth_per_tunnel, 10); + EXPECT_EQ(r.plan->planned_bandwidth_per_tunnel, 1); + EXPECT_EQ(r.plan->total_planned_bandwidth, 2); + EXPECT_EQ(lo(r.plan->total_tunnel_cost), 2); EXPECT_EQ(counts(*r.program, 2), on ? (Amounts {1, 1}) : (Amounts {2, 0})); EXPECT_EQ(r.plan->headroom_penalty, on ? std::optional(Counter128 {0, 858993458}) : std::nullopt); - EXPECT_EQ(r.plan->forwarding_bound, on ? 20 : 10); - EXPECT_EQ(r.placed, on ? 12 : 10); + EXPECT_EQ(r.plan->max_lossless_offer, on ? 20 : 10); + EXPECT_EQ(r.call_delivered, on ? 12 : 10); } } @@ -313,15 +314,15 @@ TEST(T2Objectives, ReverseArcsAndPreloadedPrices) { const auto g = ordered(4, {{0, 1, 1, 1}, {0, 2, 1, 5}, {1, 2, 1, 1}, {1, 3, 1, 5}, {2, 3, 1, 1}}); auto p = make(g, {0}, {3}, t2(2)); const auto r = p->replace(INF); - EXPECT_EQ(r.plan->common_share, 1); + EXPECT_EQ(r.plan->max_bandwidth_per_tunnel, 1); EXPECT_EQ(routes(*r.program), (std::vector {{0, 3}, {1, 4}})); - EXPECT_EQ(lo(r.plan->route_cost), 12); + EXPECT_EQ(lo(r.plan->total_tunnel_cost), 12); const auto one = one10(); const Amounts six {6}; auto q = make(one, {0}, {1}, t2(2, LOSSLESS, true), nullptr, std::make_shared(one, six)); const auto s = q->replace(INF, Amount {4}); - EXPECT_EQ(s.plan->common_share, 3); - EXPECT_EQ(s.plan->planned_per_tunnel, 2); + EXPECT_EQ(s.plan->max_bandwidth_per_tunnel, 3); + EXPECT_EQ(s.plan->planned_bandwidth_per_tunnel, 2); EXPECT_EQ(lo(s.plan->headroom_penalty), 2576980377 + 3435973836); } @@ -331,7 +332,7 @@ TEST(T2Objectives, RoundIndices) { auto p = make(g, {0, 1}, {2}, t2(2)); const auto r = p->replace(INF, Amount {6}); std::vector> got; - for (const auto& t : r.program->tunnels()) got.emplace_back(t.index, t.head, t.local_index, *t.edges); + for (const auto& t : r.program->tunnels()) got.emplace_back(t.entry_id, t.head, t.local_index, *t.edges); EXPECT_EQ(got, (std::vector> { {0, 0, 0, {0}}, {1, 1, 0, {1}}, {2, 0, 1, {0}}, {3, 1, 1, {1}}})); } @@ -360,7 +361,7 @@ TEST(T2Objectives, RootKeyTie) { } } -// Fewest arcs before keys (7.3), prefer_headroom off: the direct link ties the longer walk on +// Fewest arcs before keys, prefer_headroom off: the direct link ties the longer walk on // cost and has fewer arcs; the smallest keys alone would take the walk. (a) e0 0-1 (cost 1), e1 0-2 // (cost 2), e2 1-2 (cost 1): e1 (three arcs against four), keys alone e0 e2. (b) e0 0-1, e1 0-3 // (cost 3), e2 1-2, e3 2-3 (cost 1 each): e1, keys alone e0 e2 e3. Capacities 1, N = 1. @@ -371,7 +372,7 @@ TEST(T2Objectives, FewestArcsBeforeKeys) { EXPECT_EQ(routes(*q->replace(INF).program), (std::vector {{1}})); } -// The cut into unit walks (7.3): live heads ascending, each walk along the smallest positive EdgeId. +// The cut into unit walks: live heads ascending, each walk along the smallest positive EdgeId. // (a) e0 0-1 (capacity 2), e1 1-2 (2), e2 1-2 (3), cost 2 each, heads 0 and 1, N = 2, U = u = 1: // head 1's two units take e1 (cost 2 against head 0's 4), head 0's e0 then e2; x = (2, 2, 2). Head 0 // cuts first: e0 e1 twice, leaving e2 twice to head 1 (the largest EdgeId would give head 0 e0 e2 @@ -392,9 +393,9 @@ TEST(T2Objectives, WideRouteCost) { const auto g = ordered(2, {{0, 1, 16, (Cost {1} << 61) + 1}}); auto p = make(g, {0}, {1}, t2(16)); const auto r = p->replace(INF, Amount {16}); - ASSERT_TRUE(r.plan->route_cost.has_value()); - EXPECT_EQ(wide(*r.plan->route_cost), Int128(16) * Int128((std::int64_t {1} << 61) + 1)); - EXPECT_EQ(r.plan->route_cost->hi, 2U); + ASSERT_TRUE(r.plan->total_tunnel_cost.has_value()); + EXPECT_EQ(wide(*r.plan->total_tunnel_cost), Int128(16) * Int128((std::int64_t {1} << 61) + 1)); + EXPECT_EQ(r.plan->total_tunnel_cost->hi, 2U); } // A slot price is at most 2^32 (j u <= V): a full link of 10 with 10 tunnels at u = 1 @@ -403,7 +404,7 @@ TEST(T2Objectives, WideRouteCost) { TEST(T2Objectives, PenaltyBound) { auto p = make(one10(), {0}, {1}, t2(10, LOSSLESS, true)); const auto r = p->replace(INF, Amount {10}); - EXPECT_EQ(r.plan->planned_per_tunnel, 1); + EXPECT_EQ(r.plan->planned_bandwidth_per_tunnel, 1); EXPECT_EQ(lo(r.plan->headroom_penalty), 23622320124); } @@ -424,7 +425,7 @@ std::uint64_t slot_price_by_division(std::uint64_t m, std::uint64_t B) { return q; } -// The closed-form penalty of t2_objectives equals the slot-by-slot sum of 7.3 on one link (random +// The closed-form penalty of t2_objectives equals the slot-by-slot sum of the headroom prices on one link (random // B up to 2^62 - 1, V <= B, u and x with x u <= V, x up to 3000), summed here with its own carry. TEST(T2Objectives, PenaltySumsEverySlot) { std::mt19937_64 rng(4242); @@ -479,7 +480,7 @@ TEST(T2Objectives, PenaltyAboveTwoTo64) { std::logic_error); } -// ---------------------------------------------------------------- up to L (7.7) +// ---------------------------------------------------------------- up to L // Up to: G1 up to 6, a common size, a dead head, a tiny head: the chosen count, // the routes, the lossless delivery of D; with every head live, F'(k) is EXACT(k)'s bound. @@ -510,12 +511,12 @@ TEST(T2UpTo, ContractExamples) { const auto g = ordered(c.n, c.rows); auto p = make(g, c.heads, {c.dst}, t2(c.L, LOSSLESS, true, true)); const auto r = p->replace(c.D.has_value() ? c.D : INF); - EXPECT_EQ(r.plan->count, c.k); + EXPECT_EQ(r.plan->tunnels_per_head, c.k); EXPECT_EQ(routes(*r.program), c.routes); - EXPECT_EQ(r.placed, c.delivered); + EXPECT_EQ(r.call_delivered, c.delivered); for (std::size_t k = 1; k <= c.bounds.size(); ++k) { auto q = make(g, c.heads, {c.dst}, t2(static_cast(k), LOSSLESS, true)); - EXPECT_EQ(q->replace(INF).placed, c.bounds[k - 1]) << k; + EXPECT_EQ(q->replace(INF).call_delivered, c.bounds[k - 1]) << k; } } } @@ -528,21 +529,21 @@ TEST(T2UpTo, ReachesTheDesignExactly) { const auto g = ordered(2, {{0, 1, 6, 1}, {0, 1, 5, 1}, {0, 1, 4, 1}}); auto p = make(g, {0}, {1}, t2(3, LOSSLESS, false, true)); const auto r = p->replace(Amount {11}); - EXPECT_EQ(r.plan->count, 2); - EXPECT_EQ(r.plan->common_share, 5); - EXPECT_EQ(r.plan->planned_per_tunnel, 5); + EXPECT_EQ(r.plan->tunnels_per_head, 2); + EXPECT_EQ(r.plan->max_bandwidth_per_tunnel, 5); + EXPECT_EQ(r.plan->planned_bandwidth_per_tunnel, 5); EXPECT_EQ(routes(*r.program), (std::vector {{0}, {1}})); - EXPECT_EQ(r.placed, 11); + EXPECT_EQ(r.call_delivered, 11); } -// G1, up to 6, Lossless replace(inf): count 6, placed 49152. +// G1, up to 6, Lossless replace(inf): count 6, call_delivered 49152. TEST(T2UpTo, Unlimited) { auto p = make(g1(), {0}, {3}, t2(6, LOSSLESS, true, true)); const auto r = p->replace(INF); - EXPECT_EQ(r.plan->count, 6); - EXPECT_EQ(r.placed, 49152); + EXPECT_EQ(r.plan->tunnels_per_head, 6); + EXPECT_EQ(r.call_delivered, 49152); EXPECT_EQ(r.plan->design_demand, std::nullopt); - EXPECT_TRUE(r.plan->head_design.empty()); + EXPECT_TRUE(r.plan->design_by_head.empty()); } // ---------------------------------------------------------------- operations (U) @@ -551,10 +552,10 @@ TEST(T2UpTo, Unlimited) { TEST(T2Operations, UnlimitedDesign) { auto p = make(g1(), {0}, {3}, t2(16, LOSSLESS, true)); const auto r = p->replace(INF); - EXPECT_EQ(r.plan->planned_per_tunnel, 2925); - EXPECT_TRUE(r.plan->head_design.empty()); + EXPECT_EQ(r.plan->planned_bandwidth_per_tunnel, 2925); + EXPECT_TRUE(r.plan->design_by_head.empty()); EXPECT_EQ(r.plan->design_demand, std::nullopt); - EXPECT_EQ(r.placed, 46812); + EXPECT_EQ(r.call_delivered, 46812); EXPECT_EQ(r.termination, Termination::Exhausted); } @@ -567,22 +568,22 @@ TEST(T2Operations, AllDead) { auto p = make(g, {0, 1}, {2}, t2(up ? 3 : 2, a, false, up)); const auto r = p->replace(Amount {10}, Amount {10}); const auto& pl = *r.plan; - EXPECT_EQ(pl.count, up ? 1 : 2); - EXPECT_EQ(pl.head_design, (std::vector> {{0, 5}, {1, 5}})); - EXPECT_EQ(pl.live_heads, std::vector {}); + EXPECT_EQ(pl.tunnels_per_head, up ? 1 : 2); + EXPECT_EQ(pl.design_by_head, (std::vector> {{0, 5}, {1, 5}})); + EXPECT_EQ(pl.heads_with_capacity, std::vector {}); EXPECT_EQ(pl.insufficient_resolution, false); - EXPECT_EQ(pl.fluid_share, (std::pair {0, 1})); - EXPECT_EQ(pl.common_share, 0); - EXPECT_EQ(pl.planned_per_tunnel, 0); - EXPECT_EQ(pl.planned_total, 0); - EXPECT_EQ(lo(pl.route_cost), 0); + EXPECT_EQ(pl.max_fractional_bandwidth_per_tunnel, (std::pair {0, 1})); + EXPECT_EQ(pl.max_bandwidth_per_tunnel, 0); + EXPECT_EQ(pl.planned_bandwidth_per_tunnel, 0); + EXPECT_EQ(pl.total_planned_bandwidth, 0); + EXPECT_EQ(lo(pl.total_tunnel_cost), 0); EXPECT_FALSE(pl.headroom_penalty.has_value()); - EXPECT_EQ(pl.forwarding_bound, 0); + EXPECT_EQ(pl.max_lossless_offer, 0); EXPECT_TRUE(r.program->tunnels().empty()); - EXPECT_EQ(r.placed, 0); + EXPECT_EQ(r.call_delivered, 0); EXPECT_TRUE(p->records().empty()); if (a == LOSSY) { - EXPECT_EQ(r.call_source_loss, 10); + EXPECT_EQ(r.call_source_drops, 10); EXPECT_EQ(r.termination, Termination::Complete); EXPECT_EQ(source_rows(r), (std::vector {{0, 5, 5, 0, 5, 0}, {1, 5, 5, 0, 5, 0}})); } else { @@ -600,21 +601,21 @@ TEST(T2Operations, InsufficientResolution) { auto p = make(g, {0, 1}, {2}, t2(16, a)); const auto r = p->replace(Amount {200}, Amount {200}); EXPECT_EQ(r.plan->insufficient_resolution, true); - EXPECT_EQ(r.plan->fluid_share, (std::pair {1, 16})); - EXPECT_EQ(r.plan->common_share, 0); - EXPECT_EQ(r.plan->live_heads, (std::vector {0, 1})); + EXPECT_EQ(r.plan->max_fractional_bandwidth_per_tunnel, (std::pair {1, 16})); + EXPECT_EQ(r.plan->max_bandwidth_per_tunnel, 0); + EXPECT_EQ(r.plan->heads_with_capacity, (std::vector {0, 1})); EXPECT_TRUE(r.program->tunnels().empty()); ASSERT_NE(p->program(), nullptr); - EXPECT_EQ(r.placed, 0); + EXPECT_EQ(r.call_delivered, 0); const auto f = p->forward(Amount {10}); if (a == LOSSY) { EXPECT_EQ(source_rows(r), (std::vector {{0, 100, 100, 0, 100, 0}, {1, 100, 100, 0, 100, 0}})); - EXPECT_EQ(f.call_source_loss, 10); + EXPECT_EQ(f.call_source_drops, 10); EXPECT_EQ(f.termination, Termination::Complete); EXPECT_EQ(source_rows(f), (std::vector {{0, 5, 5, 0, 5, 0}, {1, 5, 5, 0, 5, 0}})); } else { EXPECT_EQ(r.termination, Termination::Exhausted); - EXPECT_EQ(f.placed, 0); + EXPECT_EQ(f.call_delivered, 0); EXPECT_EQ(f.termination, Termination::Exhausted); } EXPECT_EQ(f.plan, r.plan); @@ -628,7 +629,7 @@ TEST(T2Operations, DeadHead) { EXPECT_EQ(indices(*r.program), (std::vector {1, 3})); EXPECT_EQ(source_rows(r), (std::vector {{0, 5, 5, 0, 5, 0}, {1, 5, 5, 5, 0, 0}})); std::vector> entries; - for (const auto& rec : p->records()) entries.push_back(rec.entry); + for (const auto& rec : p->records()) entries.push_back(rec.entry_id); std::sort(entries.begin(), entries.end()); EXPECT_EQ(entries, (std::vector> {1, 3})); } @@ -637,26 +638,26 @@ TEST(T2Operations, DeadHead) { TEST(T2Operations, OptimizedOneSource) { const auto g = g1(); auto a = make(g, {0}, {3}, t2(16, LOSSY, true)); - auto b = make(g, {0}, {3}, t2(16, LOSSY, true, false, Origin::Optimized)); + auto b = make(g, {0}, {3}, t2(16, LOSSY, true, false, SourceAllocation::Optimized)); const auto ra = a->replace(Amount {49152}); const auto rb = b->replace(Amount {49152}); EXPECT_EQ(ra.plan, rb.plan); EXPECT_EQ(routes(*ra.program), routes(*rb.program)); EXPECT_EQ(ra.by_tunnel, rb.by_tunnel); - EXPECT_EQ(ra.call_drops, rb.call_drops); - EXPECT_EQ(b->config().origin, Origin::Optimized); + EXPECT_EQ(ra.call_edge_drops, rb.call_edge_drops); + EXPECT_EQ(std::get(b->config().routing).source_allocation, SourceAllocation::Optimized); EXPECT_FALSE(rb.program->source_weights().has_value()); } // Heads behind 2 and 10 against the global optimum, N = 2: common size 1, lossless bound 4; -// optimized Global delivers 12 on the same network. +// optimized CentralizedTE delivers 12 on the same network. TEST(T2Operations, TwoHeadsEqualAgainstGlobal) { const auto g = twoh(2, 10); auto p = make(g, {0, 1}, {2}, t2(2)); const auto r = p->replace(INF); - EXPECT_EQ(r.plan->common_share, 1); - EXPECT_EQ(r.placed, 4); - EXPECT_EQ(capacity(*g, v({0, 1}), v({2}), QueryOptions {global_config()}).placed, 12); + EXPECT_EQ(r.plan->max_bandwidth_per_tunnel, 1); + EXPECT_EQ(r.call_delivered, 4); + EXPECT_EQ(evaluate_demand(*g, v({0, 1}), v({2}), EvaluationOptions {global_config()}).call_delivered, 12); } // An empty roster: NO_ROUTE, an empty program, a plan of zeros. @@ -667,11 +668,11 @@ TEST(T2Operations, EmptyRoster) { const auto r = p->replace(Amount {5}, Amount {5}); EXPECT_EQ(r.termination, Termination::NoRoute); EXPECT_TRUE(r.program->tunnels().empty()); - EXPECT_EQ(r.plan->count, 2); - EXPECT_TRUE(r.plan->head_design.empty()); - EXPECT_EQ(r.plan->live_heads, std::vector {}); + EXPECT_EQ(r.plan->tunnels_per_head, 2); + EXPECT_TRUE(r.plan->design_by_head.empty()); + EXPECT_EQ(r.plan->heads_with_capacity, std::vector {}); EXPECT_EQ(lo(r.plan->headroom_penalty), 0); - EXPECT_EQ(r.plan->forwarding_bound, 0); + EXPECT_EQ(r.plan->max_lossless_offer, 0); } } @@ -679,10 +680,10 @@ TEST(T2Operations, EmptyRoster) { TEST(T2Operations, ZeroDesign) { auto p = make(one10(), {0}, {1}, t2(2)); const auto r = p->replace(Amount {0}); - EXPECT_EQ(r.plan->planned_per_tunnel, 1); + EXPECT_EQ(r.plan->planned_bandwidth_per_tunnel, 1); EXPECT_EQ(r.program->tunnels().size(), 2U); - for (const auto& t : r.program->tunnels()) EXPECT_EQ(t.planned, 1); - EXPECT_EQ(r.placed, 0); + for (const auto& t : r.program->tunnels()) EXPECT_EQ(t.planned_bandwidth, 1); + EXPECT_EQ(r.call_delivered, 0); EXPECT_EQ(r.termination, Termination::Complete); } @@ -692,13 +693,13 @@ TEST(T2Operations, Forward) { auto p = make(g, {0}, {3}, t2(16, LOSSY, true)); const auto first = p->replace(Amount {49152}); const auto f = p->forward(Amount {32768}); - EXPECT_EQ(f.placed, 32768); + EXPECT_EQ(f.call_delivered, 32768); EXPECT_FALSE(f.routes_changed || f.weights_changed || f.reservations_changed); EXPECT_EQ(f.program, first.program); EXPECT_EQ(f.plan, first.plan); auto q = make(g, {0}, {3}, t2(16, LOSSLESS, true)); (void)q->replace(Amount {49152}); - EXPECT_EQ(q->forward(INF).placed, 46812); + EXPECT_EQ(q->forward(INF).call_delivered, 46812); } // The same routes and weights with another planned size: no flag (a planned size is no @@ -708,68 +709,46 @@ TEST(T2Operations, Flags) { const auto a = p->replace(Amount {49152}); const auto b = p->replace(Amount {49152}, Amount {8192}); EXPECT_FALSE(b.routes_changed || b.weights_changed || b.reservations_changed); - EXPECT_EQ(a.plan->planned_per_tunnel, 2925); - EXPECT_EQ(b.plan->planned_per_tunnel, 512); + EXPECT_EQ(a.plan->planned_bandwidth_per_tunnel, 2925); + EXPECT_EQ(b.plan->planned_bandwidth_per_tunnel, 512); } // ---------------------------------------------------------------- validation (V) -// T2's row of the matrix, in order, at the policy and at an evaluator. +// T2's row of the matrix, in order, at the policy and at an evaluator: the several-sources rule +// (OPTIMIZED with several input sources), counted before the mask; prefer_headroom without a tunnel +// count; then the cache (only ShortestPaths reads one). T2 accepts both admissions. TEST(TunnelValidation, T2Matrix) { const auto g = twoh(10, 10); FlowLedger fg(g); - const Global tun {.tunnels = Tunnels {2}}; - auto rejects = [&](FlowPolicyConfig c, const std::string& text, DagCache* cache = nullptr) { + const CentralizedTE tun = centralized(SourceAllocation::Equal, {}, TunnelCount {2}); + auto rejects = [&](FlowPolicyConfig c, const std::string& text, ShortestPathCache* cache = nullptr) { EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0, 1}), v({2}), c, nullptr, cache); }), text); - EXPECT_TRUE(detail::LedgerAccess::bound_owners(fg).empty()); - if (cache == nullptr) EXPECT_EQ(error_of([&] { (void)capacity(*g, v({0, 1}), v({2}), QueryOptions {c}); }), text); + EXPECT_TRUE(detail::LedgerAccess::bound_policy_ids(fg).empty()); + if (cache == nullptr) EXPECT_EQ(error_of([&] { (void)evaluate_demand(*g, v({0, 1}), v({2}), EvaluationOptions {c}); }), text); }; - auto with = [&](auto&& set) { - FlowPolicyConfig c {.routing = tun}; - set(c); - return c; - }; - rejects(with([](auto& c) { c.placement = FlowPlacement::EqualBalanced; }), "T2 does not accept placement"); - rejects(with([](auto& c) { c.weights = WeightBasis::Capacity; }), "T2 does not accept weights"); - rejects(with([](auto& c) { c.edge_weights = std::make_shared>(Amounts {1, 1}); }), - "T2 does not accept edge_weights"); - // Every Global rejects any selection, the default and HEADROOM included, before support and - // tunnels (and so before placement); prefer_headroom without tunnels right after them. - for (const auto& sel : {PathSelection(), PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Headroom)}) { - rejects(with([&](auto& c) { c.selection = sel; }), "Global does not accept selection"); - rejects(FlowPolicyConfig {.routing = Global {}, .selection = sel}, "Global does not accept selection"); - } - const auto dag = dag_of(*g, {0, 1}); - const Global both {.support = dag, .tunnels = Tunnels {2}, .prefer_headroom = true}; - rejects(FlowPolicyConfig {.routing = both, .selection = PathSelection()}, "Global does not accept selection"); - rejects(FlowPolicyConfig {.routing = both}, "Global support and tunnels are mutually exclusive"); - rejects(FlowPolicyConfig {.routing = both, .placement = FlowPlacement::EqualBalanced}, - "Global support and tunnels are mutually exclusive"); - rejects(FlowPolicyConfig {.routing = Global {.prefer_headroom = true}}, "prefer_headroom requires tunnels"); - rejects(FlowPolicyConfig {.routing = Global {.support = dag, .prefer_headroom = true}, .placement = FlowPlacement::EqualBalanced}, - "prefer_headroom requires tunnels"); - rejects(with([](auto& c) { - c.placement = FlowPlacement::EqualBalanced; - c.selection = PathSelection(); - }), - "Global does not accept selection"); - rejects(with([](auto& c) { c.origin = Origin::Optimized; }), "T2 with several sources requires origin=EQUAL"); - DagCache cache(*g); - rejects(FlowPolicyConfig {.routing = tun}, "T2 does not use DagCache", &cache); - // The several-sources rule counts the input sources before the mask; one source with OPTIMIZED is accepted. + const std::string several = "CentralizedTE with tunnel_count and several sources requires source_allocation=EQUAL"; + const CentralizedTE optimized = centralized(SourceAllocation::Optimized, {}, TunnelCount {2}); + rejects({.routing = optimized}, several); + rejects({.routing = centralized(SourceAllocation::Optimized, {}, TunnelCount {0})}, several); // before the count + rejects({.routing = centralized(SourceAllocation::Equal, {}, std::nullopt, true)}, "prefer_headroom requires tunnel_count"); + rejects({.routing = centralized(SourceAllocation::Equal, dag_of(*g, {0, 1}), std::nullopt, true)}, + "prefer_headroom requires tunnel_count"); + ShortestPathCache cache(*g); + rejects({.routing = tun}, "CentralizedTE does not use ShortestPathCache", &cache); + // The several-sources rule counts the input sources before the mask; one source with OPTIMIZED is + // accepted (the same calculation). const auto mask = g->eligibility(std::vector {1}, {}); - EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0, 1}), v({2}), with([](auto& c) { c.origin = Origin::Optimized; }), &mask); }), - "T2 with several sources requires origin=EQUAL"); - EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0, 0}), v({2}), with([](auto& c) { c.origin = Origin::Optimized; })); }), ""); - // Accepted: both admissions, with and without prefer_headroom; the snapshot resolves the origin - // and keeps no selection. + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0, 1}), v({2}), {.routing = optimized}, &mask); }), several); + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0, 0}), v({2}), {.routing = optimized}); }), ""); + // Accepted: both admissions, with and without prefer_headroom; the snapshot keeps the source + // allocation as given. for (const auto a : {LOSSLESS, LOSSY}) { for (const bool h : {false, true}) EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0, 1}), v({2}), t2(2, a, h)); }), ""); } FlowPolicy p(fg, v({0, 1}), v({2}), FlowPolicyConfig {.routing = tun}); - EXPECT_EQ(p.config().origin, Origin::Equal); - EXPECT_EQ(p.config().selection, std::nullopt); - EXPECT_EQ(std::string(detail::model_name(p.config().routing)), "T2"); + EXPECT_EQ(std::get(p.config().routing).source_allocation, SourceAllocation::Equal); + EXPECT_EQ(std::string(detail::model_name(p.config().routing)), "CentralizedTE with tunnel_count"); } // The count range for N and L; the tunnel limit with L for "up to". @@ -807,7 +786,7 @@ TEST(TunnelValidation, T2CountAndLimit) { // T2's operations and the design's domain, with their texts. TEST(TunnelOperations, T2CallValidation) { auto p = make(one10(), {0}, {1}, t2(2)); - for (const Amount x : {5, 0}) EXPECT_EQ(error_of([&] { (void)p->place(x); }), "T2 does not support incremental placement"); + for (const Amount x : {5, 0}) EXPECT_EQ(error_of([&] { (void)p->place(x); }), "CentralizedTE with tunnel_count does not support incremental placement"); EXPECT_EQ(error_of([&] { (void)p->forward(Amount {5}); }), "forward requires an installed program"); for (const Amount d : {Amount {-1}, kL62}) { EXPECT_EQ(error_of([&] { (void)p->replace(Amount {5}, d); }), @@ -828,27 +807,27 @@ TEST(TunnelOperations, T2NoCertificates) { const auto r = p->replace(INF, std::nullopt, OutputOptions {.min_cut = true}); EXPECT_FALSE(r.total_cost.has_value()); EXPECT_FALSE(r.min_cut.has_value()); - EXPECT_FALSE(r.cost_distribution.has_value()); + EXPECT_FALSE(r.marginal_cost_curve.has_value()); auto pin = make(g, {0}, {3}, FlowPolicyConfig {.routing = Pinned {r.program, nullptr}}); EXPECT_FALSE(pin->replace(Amount {10}).plan.has_value()); - // An optimized-origin T2 policy whose roster is empty (source 0 reaches nothing) reports no + // An optimized-source-allocation T2 policy whose roster is empty (source 0 reaches nothing) reports no // certificate either, never an empty cut or curve: replace(5) is NO_ROUTE, replace(0) COMPLETE. - auto empty = make(ordered(3, {{1, 2, 10, 1}}), {0}, {2}, t2(2, LOSSLESS, false, false, Origin::Optimized)); + auto empty = make(ordered(3, {{1, 2, 10, 1}}), {0}, {2}, t2(2, LOSSLESS, false, false, SourceAllocation::Optimized)); for (const Amount offer : {Amount {5}, Amount {0}}) { SCOPED_TRACE(offer); const auto e = empty->replace(offer, std::nullopt, OutputOptions {.min_cut = true}); EXPECT_EQ(e.termination, offer > 0 ? Termination::NoRoute : Termination::Complete); - EXPECT_EQ(e.placed, 0); + EXPECT_EQ(e.call_delivered, 0); EXPECT_FALSE(e.total_cost.has_value()); EXPECT_FALSE(e.min_cut.has_value()); - EXPECT_FALSE(e.cost_distribution.has_value()); + EXPECT_FALSE(e.marginal_cost_curve.has_value()); ASSERT_TRUE(e.plan.has_value()); } } // ---------------------------------------------------------------- programs (P) -// The 8.5 call: the 7.9 call's program replayed with e2 masked. +// The masked-replay call: the G1 call's program replayed with e2 masked. TEST(TunnelPrograms, T2Replay) { const auto g = g1(); auto p = make(g, {0}, {3}, t2(16, LOSSY, true)); @@ -859,8 +838,8 @@ TEST(TunnelPrograms, T2Replay) { auto st = row_statuses(r); st.resize(3); EXPECT_EQ(st, (std::vector {FAILED, FAILED, UP})); - EXPECT_EQ(r.placed, 40960); - EXPECT_EQ(r.call_drops, (Pairs {{1, 8192}})); + EXPECT_EQ(r.call_delivered, 40960); + EXPECT_EQ(r.call_edge_drops, (Pairs {{1, 8192}})); } // The same program stale: e2 a black hole. @@ -874,46 +853,46 @@ TEST(TunnelPrograms, T2Stale) { std::vector want(2, BLACKHOLED); want.insert(want.end(), 14, UP); EXPECT_EQ(row_statuses(r), want); - EXPECT_EQ(r.call_drops, (Pairs {{1, 2048}, {2, 6144}})); - EXPECT_EQ(r.placed, 40960); + EXPECT_EQ(r.call_edge_drops, (Pairs {{1, 2048}, {2, 6144}})); + EXPECT_EQ(r.call_delivered, 40960); for (const auto& t : base->tunnels()) EXPECT_EQ(t.status, UP); } -// The 7.9 call's tunnels: requested 0, reserved 0, planned 2925, UP, weight 1; equal sources. +// The G1 call's tunnels: requested 0, reserved 0, planned 2925, UP, weight 1; equal sources. TEST(TunnelPrograms, T2Fields) { auto p = make(g1(), {0}, {3}, t2(16, LOSSY, true)); const auto r = p->replace(Amount {49152}); ASSERT_EQ(r.program->tunnels().size(), 16U); for (const auto& t : r.program->tunnels()) { - EXPECT_EQ(t.requested, 0); - EXPECT_EQ(t.reserved, 0); - EXPECT_EQ(t.planned, 2925); + EXPECT_EQ(t.requested_bandwidth, 0); + EXPECT_EQ(t.reserved_bandwidth, 0); + EXPECT_EQ(t.planned_bandwidth, 2925); EXPECT_EQ(t.status, UP); EXPECT_EQ(t.weight, 1); EXPECT_EQ(t.destination, NodeId {3}); - EXPECT_EQ(t.route_cost, Cost {2}); + EXPECT_EQ(t.path_cost, Cost {2}); } EXPECT_FALSE(r.program->source_weights().has_value()); } -// The planned bandwidth is T2's alone: 0 on T1's tunnels, on a controller's paths (Global, -// CostOnly MaxFlow) and on a supplied program's tunnels; Pinned over a T2 program keeps u. +// The planned bandwidth is T2's alone: 0 on T1's tunnels, on a controller's paths (CentralizedTE, +// ShortestPaths Optimized) and on a supplied program's tunnels; Pinned over a T2 program keeps u. TEST(TunnelPrograms, PlannedOnlyOnT2) { const auto g = twoh(2, 10); auto planned = [](const PlacementResult& r) { Amounts out; - for (const auto& t : r.program->tunnels()) out.push_back(t.planned); + for (const auto& t : r.program->tunnels()) out.push_back(t.planned_bandwidth); return out; }; - auto t1 = make(g, {0, 1}, {2}, FlowPolicyConfig {.routing = CapacityAware {.tunnels = Tunnels {2}}, .admission = LOSSY}); + auto t1 = make(g, {0, 1}, {2}, FlowPolicyConfig {.routing = DistributedTE {.tunnel_count = TunnelCount {2}}, .admission = LOSSY}); EXPECT_EQ(planned(t1->replace(12, 12)), (Amounts {0, 0, 0, 0})); - auto global = make(g, {0, 1}, {2}, FlowPolicyConfig {.routing = Global {}}); + auto global = make(g, {0, 1}, {2}, FlowPolicyConfig {.routing = centralized()}); EXPECT_EQ(planned(global->place(12)), (Amounts {0, 0})); - auto max_flow = make(g, {0, 1}, {2}, FlowPolicyConfig {.routing = CostOnly {}, .placement = FlowPlacement::MaxFlow}); + auto max_flow = make(g, {0, 1}, {2}, FlowPolicyConfig {.routing = shortest_paths(RouteAllocation::Optimized)}); EXPECT_EQ(planned(max_flow->place(12)), (Amounts {0, 0})); const std::vector s {0, 1}; const std::vector d {2}; - const std::vector routes {{0, std::make_shared(*g, std::vector> {{0}}), 1}, + const std::vector routes {{0, std::make_shared(*g, std::vector> {{0}}), 1}, {1, std::make_shared(*g, std::vector> {{1}}), 1}}; const auto supplied = ForwardingProgram::from_routes(*g, s, d, routes); auto pinned = make(g, {0, 1}, {2}, FlowPolicyConfig {.routing = Pinned {.program = supplied}, .admission = LOSSY}); @@ -927,99 +906,174 @@ TEST(TunnelPrograms, PlannedOnlyOnT2) { // ---------------------------------------------------------------- evaluators (Q) -// The design rule of 12.1; nothing shared between pairs. +// The design rule of the evaluators (T2's design: the offer when finite, else unlimited); +// nothing shared between pairs. TEST(TunnelEvaluators, T2Capacity) { const auto g = g1(); - auto err = [&](const QueryOptions& o) { return error_of([&] { (void)capacity(*g, v({0}), v({3}), o); }); }; - QueryOptions q {t2(16, LOSSLESS, true)}; - EXPECT_EQ(capacity(*g, v({0}), v({3}), q).placed, 46812); + auto err = [&](const EvaluationOptions& o) { return error_of([&] { (void)evaluate_demand(*g, v({0}), v({3}), o); }); }; + EvaluationOptions q {t2(16, LOSSLESS, true)}; + EXPECT_EQ(evaluate_demand(*g, v({0}), v({3}), q).call_delivered, 46812); q.design_demand = Amount {8192}; - EXPECT_EQ(capacity(*g, v({0}), v({3}), q).placed, 46812); - QueryOptions ly {t2(16, LOSSY, true)}; + EXPECT_EQ(evaluate_demand(*g, v({0}), v({3}), q).call_delivered, 46812); + EvaluationOptions ly {t2(16, LOSSY, true)}; ly.design_demand = Amount {49152}; - EXPECT_EQ(capacity(*g, v({0}), v({3}), ly).placed, 47104); - QueryOptions lo_ {t2(16, LOSSY, true)}; - lo_.offered = Amount {49152}; - EXPECT_EQ(capacity(*g, v({0}), v({3}), lo_).placed, 47104); - EXPECT_EQ(err(QueryOptions {t2(16, LOSSY, true)}), "T2 LOSSY capacity requires finite offered"); - QueryOptions unlimited {t2(16, LOSSY, true)}; + EXPECT_EQ(evaluate_demand(*g, v({0}), v({3}), ly).call_delivered, 47104); + EvaluationOptions lo_ {t2(16, LOSSY, true)}; + lo_.offer = Amount {49152}; + EXPECT_EQ(evaluate_demand(*g, v({0}), v({3}), lo_).call_delivered, 47104); + EXPECT_EQ(err(EvaluationOptions {t2(16, LOSSY, true)}), "CentralizedTE LOSSY evaluation requires a finite offer"); + EvaluationOptions unlimited {t2(16, LOSSY, true)}; unlimited.design_demand = std::optional {}; - EXPECT_EQ(err(unlimited), "T2 LOSSY capacity requires finite offered"); - QueryOptions offered {t2(16, LOSSLESS, true)}; - offered.offered = Amount {5}; - EXPECT_EQ(err(offered), "T2 LOSSLESS capacity does not accept offered"); + EXPECT_EQ(err(unlimited), "CentralizedTE LOSSY evaluation requires a finite offer"); + // Lossless with a finite offer and no design: the design is the offer, the delivery up to it. + EvaluationOptions offered {t2(16, LOSSLESS, true)}; + offered.offer = Amount {5}; + const auto r5 = evaluate_demand(*g, v({0}), v({3}), offered); + EXPECT_EQ(r5.call_delivered, 5); + EXPECT_EQ(r5.plan->design_demand, Amount {5}); const auto one = one10(); const std::vector, std::vector>> pairs = {{v({0}), v({1})}, {v({0}), v({1})}}; for (const std::int32_t workers : {1, 2}) { - const auto rs = batch_capacity(*one, pairs, QueryOptions {t2(2)}, {}, workers); + const auto rs = evaluate_pairs(*one, pairs, EvaluationOptions {t2(2)}, {}, workers); ASSERT_EQ(rs.size(), 2U); - EXPECT_EQ(rs[0].placed, 10); - EXPECT_EQ(rs[1].placed, 10); + EXPECT_EQ(rs[0].call_delivered, 10); + EXPECT_EQ(rs[1].call_delivered, 10); } } -// T2 LOSSY's offer rule (12.1) in all three evaluators: a finite offer is used as given, an absent -// one is the design if finite, and an explicit +inf is an error whatever the design. One link of 10, +// T2 LOSSY's offer rule in all three evaluators: a finite offer is used as given, an absent +// one is the design if finite, and an explicit +inf is an error whatever the design (the offer's +// domain, checked before the design). One link of 10, // N = 2: both tunnels share the link, so the Lossy delivery is min(offer, 10). TEST(TunnelEvaluators, T2LossyOfferRule) { const auto g = one10(); const std::optional> absent; const std::optional> inf {std::in_place, std::nullopt}; const auto amount = [](Amount a) { return std::optional> {std::in_place, a}; }; - const std::string text = "T2 LOSSY capacity requires finite offered"; + const std::string missing = "CentralizedTE LOSSY evaluation requires a finite offer"; + const std::string domain = "offer must be an integer in [0, 2^62)"; struct Row { std::optional> design, offered; - std::optional placed; // nullopt: the error + std::optional delivered; // nullopt: the error + std::string text {}; }; const std::vector rows = { - {absent, absent, {}}, {amount(0), absent, 0}, {amount(4), absent, 4}, {inf, absent, {}}, - {absent, inf, {}}, {amount(0), inf, {}}, {amount(4), inf, {}}, {inf, inf, {}}, + {absent, absent, {}, missing}, {amount(0), absent, 0}, {amount(4), absent, 4}, {inf, absent, {}, missing}, + {absent, inf, {}, domain}, {amount(0), inf, {}, domain}, {amount(4), inf, {}, domain}, {inf, inf, {}, domain}, {absent, amount(0), 0}, {amount(4), amount(0), 0}, {inf, amount(0), 0}, {absent, amount(7), 7}, {amount(0), amount(7), 7}, {amount(4), amount(7), 7}, {inf, amount(7), 7}, }; const std::vector, std::vector>> pairs = {{v({0}), v({1})}, {v({0}), v({1})}}; for (const auto& row : rows) { - QueryOptions q {t2(2, LOSSY)}; + EvaluationOptions q {t2(2, LOSSY)}; q.design_demand = row.design; - q.offered = row.offered; + q.offer = row.offered; const std::string where = "design " + (row.design ? (*row.design ? std::to_string(**row.design) : "inf") : "absent") + ", offered " + (row.offered ? (*row.offered ? std::to_string(**row.offered) : "inf") : "absent"); SCOPED_TRACE(where); - if (!row.placed) { - EXPECT_EQ(error_of([&] { (void)capacity(*g, v({0}), v({1}), q); }), text); - EXPECT_EQ(error_of([&] { (void)batch_capacity(*g, pairs, q, {}, 2); }), text); - EXPECT_EQ(error_of([&] { (void)sensitivity(*g, v({0}), v({1}), q, 2); }), text); + if (!row.delivered) { + EXPECT_EQ(error_of([&] { (void)evaluate_demand(*g, v({0}), v({1}), q); }), row.text); + EXPECT_EQ(error_of([&] { (void)evaluate_pairs(*g, pairs, q, {}, 2); }), row.text); + EXPECT_EQ(error_of([&] { (void)evaluate_edge_failures(*g, v({0}), v({1}), q, 2); }), row.text); continue; } - EXPECT_EQ(capacity(*g, v({0}), v({1}), q).placed, *row.placed); - const auto rs = batch_capacity(*g, pairs, q, {}, 2); + EXPECT_EQ(evaluate_demand(*g, v({0}), v({1}), q).call_delivered, *row.delivered); + const auto rs = evaluate_pairs(*g, pairs, q, {}, 2); ASSERT_EQ(rs.size(), 2U); - EXPECT_EQ(rs[0].placed, *row.placed); - EXPECT_EQ(rs[1].placed, *row.placed); - EXPECT_EQ(sensitivity(*g, v({0}), v({1}), q, 2).baseline.placed, *row.placed); + EXPECT_EQ(rs[0].call_delivered, *row.delivered); + EXPECT_EQ(rs[1].call_delivered, *row.delivered); + EXPECT_EQ(evaluate_edge_failures(*g, v({0}), v({1}), q, 2).baseline.call_delivered, *row.delivered); } } // Deleting dead head 0's zero link removes it from the roster (loss -10); // every allowed link is a candidate. TEST(TunnelEvaluators, T2Sensitivity) { - QueryOptions q {t2(2)}; + EvaluationOptions q {t2(2)}; q.design_demand = Amount {10}; for (const std::int32_t workers : {1, 2}) { - const auto s = sensitivity(*twoh(0, 10), v({0, 1}), v({2}), q, workers); - EXPECT_EQ(s.baseline.placed, 0); + const auto s = evaluate_edge_failures(*twoh(0, 10), v({0, 1}), v({2}), q, workers); + EXPECT_EQ(s.baseline.call_delivered, 0); std::vector> got; - for (const auto& e : s.entries) got.emplace_back(e.edge, e.loss); + for (const auto& e : s.entries) got.emplace_back(e.edge, e.delivery_reduction); EXPECT_EQ(got, (std::vector> {{0, -10}, {1, 0}})); } const auto g = ordered(3, {{0, 1, 10, 1}, {2, 1, 5, 1}}); - const auto s = sensitivity(*g, v({0}), v({1}), QueryOptions {t2(2)}, 1); + const auto s = evaluate_edge_failures(*g, v({0}), v({1}), EvaluationOptions {t2(2)}, 1); std::vector> got; - for (const auto& e : s.entries) got.emplace_back(e.edge, e.loss); + for (const auto& e : s.entries) got.emplace_back(e.edge, e.delivery_reduction); EXPECT_EQ(got, (std::vector> {{0, 10}, {1, 0}})); } +// ---------------------------------------------------------------- a supplied support + +// SUP: three parallel links 0 -> 1 of (capacity, cost) (6, 1), (6, 1), (100, 2); the support holds +// the first two. +std::shared_ptr sup() { return ordered(2, {{0, 1, 6, 1}, {0, 1, 6, 1}, {0, 1, 100, 2}}); } +FlowPolicyConfig t2_on(const Graph& g, std::vector support, Admission a = LOSSLESS, bool headroom = false) { + return {.routing = centralized(SourceAllocation::Equal, dag_of(g, support), TunnelCount {2}, headroom), .admission = a}; +} + +// T2-support, -masked, -mask-outside: unlimited design, headroom off. +TEST(T2Support, Examples) { + const auto g = sup(); + { + auto p = make(g, {0}, {1}, t2_on(*g, {0, 1})); + const auto r = p->replace(INF); + EXPECT_EQ(r.plan->max_bandwidth_per_tunnel, 6); + EXPECT_EQ(counts(*p->program(), 3), (Amounts {1, 1, 0})); + EXPECT_EQ(r.plan->max_lossless_offer, 12); + EXPECT_EQ(r.call_delivered, 12); + } + { + const auto mask = g->eligibility({}, std::vector {1}); + auto p = make(g, {0}, {1}, t2_on(*g, {0, 1}), &mask); + const auto r = p->replace(INF); + EXPECT_EQ(r.plan->max_bandwidth_per_tunnel, 3); + EXPECT_EQ(counts(*p->program(), 3), (Amounts {2, 0, 0})); + EXPECT_EQ(routes(*p->program()), (std::vector {{0}, {0}})); + EXPECT_EQ(indices(*p->program()), (std::vector {0, 1})); + EXPECT_EQ(r.plan->max_lossless_offer, 6); + } + { + const auto mask = g->eligibility({}, std::vector {2}); + auto p = make(g, {0}, {1}, t2_on(*g, {0, 1}), &mask); + const auto r = p->replace(INF); + EXPECT_EQ(r.plan->max_bandwidth_per_tunnel, 6); + EXPECT_EQ(routes(*p->program()), (std::vector {{0}, {1}})); + EXPECT_EQ(r.plan->max_lossless_offer, 12); + } +} + +// T2 on the support {e0, e1} equals T2 with a mask excluding e2: plans, tunnels, rows, deliveries, +// drops and flags, Lossless and Lossy at offers 6, 12 and 13. +TEST(T2Support, EqualsMask) { + const auto g = sup(); + const auto outside = g->eligibility({}, std::vector {2}); + for (const auto a : {LOSSLESS, LOSSY}) { + for (const Amount offer : {6, 12, 13}) { + auto on = make(g, {0}, {1}, t2_on(*g, {0, 1}, a)); + auto masked = make(g, {0}, {1}, t2(2, a), &outside); + const auto x = on->replace(offer); + const auto y = masked->replace(offer); + const std::string where = std::to_string(static_cast(a)) + "/" + std::to_string(offer); + EXPECT_EQ(*x.plan, *y.plan) << where; + const auto tx = on->program()->tunnels(); + const auto ty = masked->program()->tunnels(); + EXPECT_TRUE(std::ranges::equal(tx, ty)) << where; + EXPECT_EQ(x.by_tunnel, y.by_tunnel) << where; + EXPECT_EQ(source_rows(x), source_rows(y)) << where; + EXPECT_EQ(x.call_delivered, y.call_delivered) << where; + EXPECT_EQ(x.call_edge_drops, y.call_edge_drops) << where; + EXPECT_EQ(x.termination, y.termination) << where; + EXPECT_EQ(std::tuple(x.routes_changed, x.weights_changed, x.reservations_changed), + std::tuple(y.routes_changed, y.weights_changed, y.reservations_changed)) + << where; + } + } +} + // ---------------------------------------------------------------- numeric ranges (W) // ONEMAX, N = 1, prefer_headroom, unlimited: U = u = 2^62 - 1, Phi = 2^32. @@ -1027,12 +1081,12 @@ TEST(TunnelRanges, T2OneMax) { const Amount max = kL62 - 1; auto p = make(ordered(2, {{0, 1, max, 1}}), {0}, {1}, t2(1, LOSSLESS, true)); const auto r = p->replace(INF); - EXPECT_EQ(r.plan->common_share, max); - EXPECT_EQ(r.plan->planned_total, max); + EXPECT_EQ(r.plan->max_bandwidth_per_tunnel, max); + EXPECT_EQ(r.plan->total_planned_bandwidth, max); EXPECT_EQ(lo(r.plan->headroom_penalty), Amount {1} << 32); - EXPECT_EQ(r.plan->forwarding_bound, max); - EXPECT_EQ(r.placed, max); - EXPECT_EQ(r.plan->fluid_share, (std::pair {max, 1})); + EXPECT_EQ(r.plan->max_lossless_offer, max); + EXPECT_EQ(r.call_delivered, max); + EXPECT_EQ(r.plan->max_fractional_bandwidth_per_tunnel, (std::pair {max, 1})); } // FAN4MAX, N = 16, unlimited: U = 2^56 - 1, planned total 2^62 - 64, F = 2^62 - 4. @@ -1040,10 +1094,10 @@ TEST(TunnelRanges, T2ManyTunnels) { const Amount c = (Amount {1} << 60) - 1; auto p = make(ordered(5, {{0, 4, c, 1}, {1, 4, c, 1}, {2, 4, c, 1}, {3, 4, c, 1}}), {0, 1, 2, 3}, {4}, t2(16)); const auto r = p->replace(INF); - EXPECT_EQ(r.plan->common_share, (Amount {1} << 56) - 1); - EXPECT_EQ(r.plan->planned_total, kL62 - 64); - EXPECT_EQ(r.plan->forwarding_bound, kL62 - 4); - EXPECT_EQ(r.plan->fluid_share, (std::pair {c, 16})); + EXPECT_EQ(r.plan->max_bandwidth_per_tunnel, (Amount {1} << 56) - 1); + EXPECT_EQ(r.plan->total_planned_bandwidth, kL62 - 64); + EXPECT_EQ(r.plan->max_lossless_offer, kL62 - 4); + EXPECT_EQ(r.plan->max_fractional_bandwidth_per_tunnel, (std::pair {c, 16})); } // DEAD100: the live budgets F'(1) = F'(2) = 101 2^61 + 100 above 2^63, equal scores @@ -1057,13 +1111,13 @@ TEST(TunnelRanges, T2DeadBudget) { for (std::int32_t h = 0; h < 101; ++h) heads[static_cast(h)] = h; auto p = make(g, heads, {101}, t2(2, LOSSLESS, false, true)); const auto r = p->replace(INF); - EXPECT_EQ(r.plan->count, 1); - EXPECT_EQ(r.plan->forwarding_bound, 0); - EXPECT_EQ(r.plan->live_heads, (std::vector {100})); + EXPECT_EQ(r.plan->tunnels_per_head, 1); + EXPECT_EQ(r.plan->max_lossless_offer, 0); + EXPECT_EQ(r.plan->heads_with_capacity, (std::vector {100})); auto q = make(g, heads, {101}, t2(1, LOSSY)); const auto s = q->replace(Amount {101}); - EXPECT_EQ(s.placed, 1); - EXPECT_EQ(s.call_source_loss, 100); + EXPECT_EQ(s.call_delivered, 1); + EXPECT_EQ(s.call_source_drops, 100); } // COSTMAX (one link of 10000 at cost 2^62 - 1), N = 10000, prefer_headroom, D = 10000: @@ -1071,9 +1125,9 @@ TEST(TunnelRanges, T2DeadBudget) { TEST(TunnelRanges, T2CostMax) { auto p = make(ordered(2, {{0, 1, 10000, kL62 - 1}}), {0}, {1}, t2(10000, LOSSLESS, true)); const auto r = p->replace(INF, Amount {10000}); - EXPECT_EQ(r.plan->common_share, 1); - EXPECT_EQ(r.plan->planned_per_tunnel, 1); - EXPECT_EQ(wide(*r.plan->route_cost), Int128(10000) * Int128(kL62 - 1)); + EXPECT_EQ(r.plan->max_bandwidth_per_tunnel, 1); + EXPECT_EQ(r.plan->planned_bandwidth_per_tunnel, 1); + EXPECT_EQ(wide(*r.plan->total_tunnel_cost), Int128(10000) * Int128(kL62 - 1)); EXPECT_EQ(lo(r.plan->headroom_penalty), 21476983958656); } @@ -1126,7 +1180,7 @@ TEST(TunnelZero, T2) { } } -// The 7.9 call's program with e0 and e1 masked: no head reaches 3: NO_ROUTE, then COMPLETE; +// The G1 call's program with e0 and e1 masked: no head reaches 3: NO_ROUTE, then COMPLETE; // sixteen zero records. TEST(TunnelZero, PinnedT2NoRoster) { const auto g = g1(); @@ -1144,19 +1198,19 @@ TEST(TunnelZero, PinnedT2NoRoster) { // A zero offered; an Eligibility that excludes every edge. TEST(TunnelZero, T2Evaluators) { const auto g = g1(); - QueryOptions zero {t2(16, LOSSY, true)}; - zero.offered = Amount {0}; - const auto r = capacity(*g, v({0}), v({3}), zero); + EvaluationOptions zero {t2(16, LOSSY, true)}; + zero.offer = Amount {0}; + const auto r = evaluate_demand(*g, v({0}), v({3}), zero); EXPECT_EQ(r.termination, Termination::Complete); - EXPECT_EQ(r.placed, 0); - for (const auto& e : sensitivity(*g, v({0}), v({3}), zero, 1).entries) EXPECT_EQ(e.loss, 0); + EXPECT_EQ(r.call_delivered, 0); + for (const auto& e : evaluate_edge_failures(*g, v({0}), v({3}), zero, 1).entries) EXPECT_EQ(e.delivery_reduction, 0); const auto t = twoh(10, 10); const auto none = t->eligibility({}, std::vector {0, 1}); - const auto c = capacity(*t, v({0, 1}), v({2}), QueryOptions {t2(2), &none}); + const auto c = evaluate_demand(*t, v({0, 1}), v({2}), EvaluationOptions {t2(2), &none}); EXPECT_EQ(c.termination, Termination::NoRoute); - EXPECT_EQ(c.placed, 0); + EXPECT_EQ(c.call_delivered, 0); const std::vector, std::vector>> pairs = {{v({0, 1}), v({2})}, {v({0}), v({2})}}; - for (const auto& x : batch_capacity(*t, pairs, QueryOptions {t2(2), &none}, {}, 1)) EXPECT_EQ(x.termination, Termination::NoRoute); + for (const auto& x : evaluate_pairs(*t, pairs, EvaluationOptions {t2(2), &none}, {}, 1)) EXPECT_EQ(x.termination, Termination::NoRoute); } // ---------------------------------------------------------------- the property test @@ -1164,7 +1218,7 @@ TEST(TunnelZero, T2Evaluators) { // Random small graphs (nonuniform costs, masks, zero-capacity links, preloaded residuals, one or two // heads): U, s* and the minimum (J, Phi) against the brute force; the program's objectives, k // tunnels per live head in round order with dead holes; F against the independent lossless bound; -// 7.6's remainder bound; "up to" against an unpruned selection over the EXACT(k) programs at U(k). +// the remainder bound 0 <= F - K U < K; "up to" against an unpruned selection over the EXACT(k) programs at U(k). TEST(T2Property, AgainstTheReference) { std::mt19937 rng(20261019); int checked = 0; @@ -1190,7 +1244,7 @@ TEST(T2Property, AgainstTheReference) { const Eligibility* elig = mask.has_value() ? &*mask : nullptr; Amounts V(static_cast(g->num_edges())); for (std::size_t e = 0; e < V.size(); ++e) { - const Amount c = g->capacity_units()[e]; + const Amount c = g->edge_capacity_units()[e]; V[e] = rng() % 3 == 0 ? static_cast(rng() % static_cast(c + 1)) : c; } const bool hr = rng() % 2 == 0; @@ -1200,13 +1254,13 @@ TEST(T2Property, AgainstTheReference) { auto p = make(g, heads, dests, t2(N, LOSSLESS, hr), elig, std::make_shared(g, V)); const auto r = p->replace(INF, design); const auto& pl = *r.plan; - const auto& roster = detail::PolicyAccess::engine(*p.p).roster; + const auto& roster = detail::PolicyAccess::engine(*p.p).reachable_sources; const auto H = static_cast(roster.size()); if (H == 0) continue; const auto u_of = [&](Amount U) { if (!D.has_value()) return U; Amount need = 1; - for (NodeId h : pl.live_heads.value_or(std::vector {})) { + for (NodeId h : pl.heads_with_capacity.value_or(std::vector {})) { const auto i = std::find(roster.begin(), roster.end(), h) - roster.begin(); const Amount share = t1_reference::rr(*D, H, i); need = std::max(need, (share + N - 1) / N); @@ -1214,9 +1268,9 @@ TEST(T2Property, AgainstTheReference) { return std::min(U, need); }; const auto want = t2_reference::solve(*g, elig, roster, dests, N, V, u_of, hr); - EXPECT_EQ(pl.live_heads, want.live); - EXPECT_EQ(pl.common_share, want.U); - if (!want.live.empty()) EXPECT_EQ(pl.fluid_share, want.fluid); + EXPECT_EQ(pl.heads_with_capacity, want.live); + EXPECT_EQ(pl.max_bandwidth_per_tunnel, want.U); + if (!want.live.empty()) EXPECT_EQ(pl.max_fractional_bandwidth_per_tunnel, want.fluid); ++checked; if (want.U == 0) { EXPECT_TRUE(r.program->tunnels().empty()); @@ -1231,13 +1285,13 @@ TEST(T2Property, AgainstTheReference) { for (EdgeId e : *t.edges) ++x[static_cast(e)]; } for (std::size_t e = 0; e < x.size(); ++e) { - J = J + Int128(g->cost()[e]) * x[e]; - for (Amount j = 1; hr && g->capacity_units()[e] > 0 && j <= x[e]; ++j) { - phi = phi + t2_reference::slot_price(g->capacity_units()[e], V[e], j, *pl.planned_per_tunnel); + J = J + Int128(g->edge_costs()[e]) * x[e]; + for (Amount j = 1; hr && g->edge_capacity_units()[e] > 0 && j <= x[e]; ++j) { + phi = phi + t2_reference::slot_price(g->edge_capacity_units()[e], V[e], j, *pl.planned_bandwidth_per_tunnel); } - EXPECT_LE(x[e] * *pl.planned_per_tunnel, V[e]); + EXPECT_LE(x[e] * *pl.planned_bandwidth_per_tunnel, V[e]); } - EXPECT_EQ(J, wide(*pl.route_cost)); + EXPECT_EQ(J, wide(*pl.total_tunnel_cost)); EXPECT_EQ((std::pair {J, phi}), *want.best); if (hr) EXPECT_EQ(phi, wide(*pl.headroom_penalty)); ++optimal; @@ -1260,18 +1314,18 @@ TEST(T2Property, AgainstTheReference) { rt.path = *t.edges; ref.push_back(rt); } - EXPECT_EQ(pl.forwarding_bound, t1_reference::lossless_bound(roster.size(), ref, V)); + EXPECT_EQ(pl.max_lossless_offer, t1_reference::lossless_bound(roster.size(), ref, V)); const auto K = static_cast(want.live.size()) * N; - if (pl.planned_per_tunnel == pl.common_share && want.live.size() == roster.size()) { - EXPECT_GE(*pl.forwarding_bound - K * want.U, 0); - EXPECT_LT(*pl.forwarding_bound - K * want.U, K); + if (pl.planned_bandwidth_per_tunnel == pl.max_bandwidth_per_tunnel && want.live.size() == roster.size()) { + EXPECT_GE(*pl.max_lossless_offer - K * want.U, 0); + EXPECT_LT(*pl.max_lossless_offer - K * want.U, K); } // Up to N: the unpruned selection over the EXACT(k) programs at U(k) (unlimited design). std::vector scores; for (std::int64_t k = 1; k <= N; ++k) { auto e = make(g, heads, dests, t2(k, LOSSLESS, hr), elig, std::make_shared(g, V)); const auto rk = e->replace(INF); - if (*rk.plan->common_share == 0) { + if (*rk.plan->max_bandwidth_per_tunnel == 0) { scores.push_back(0); continue; } @@ -1279,7 +1333,7 @@ TEST(T2Property, AgainstTheReference) { auto fits = [&](Int128 z) { Amounts load(V.size(), 0); for (const auto& t : rk.program->tunnels()) { - const Int128 amount = z / M + (Int128(t.index) < z % M ? 1 : 0); + const Int128 amount = z / M + (Int128(t.entry_id) < z % M ? 1 : 0); for (EdgeId x2 : *t.edges) load[static_cast(x2)] += static_cast(amount); } for (std::size_t x2 = 0; x2 < V.size(); ++x2) { @@ -1317,7 +1371,7 @@ TEST(T2Property, AgainstTheReference) { } } auto up = make(g, heads, dests, t2(N, LOSSLESS, hr, true), elig, std::make_shared(g, V)); - EXPECT_EQ(up->replace(INF, design).plan->count, chosen); + EXPECT_EQ(up->replace(INF, design).plan->tunnels_per_head, chosen); ++selections; } EXPECT_GT(checked, 200); diff --git a/tests/cpp/contract_examples_tests.cpp b/tests/cpp/contract_examples_tests.cpp new file mode 100644 index 0000000..80652b9 --- /dev/null +++ b/tests/cpp/contract_examples_tests.cpp @@ -0,0 +1,2279 @@ +// The worked examples run on the library: each example's own inputs and expected values, +// one test per example (ContractExamples. with '-' as '_'). The examples state edges as +// (source, destination, capacity, cost) in input order and amounts in units; every per-edge value +// below is in that order (translated through the graph's input positions). An example whose input +// is a Python value (a float factor, a NumPy scalar, a wrong type) is checked here through the C++ +// value it stands for; the conversion itself is the Python suite's. + +#include + +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/forwarding.hpp" +#include "netgraph/core/detail/route_kernels.hpp" +#include "netgraph/core/evaluators.hpp" +#include "netgraph/core/flow_ledger.hpp" +#include "netgraph/core/flow_policy.hpp" +#include "netgraph/core/forwarding_program.hpp" +#include "netgraph/core/search.hpp" +#include "netgraph/core/shortest_path_cache.hpp" +#include "test_utils.hpp" + +using namespace netgraph::core; +using namespace netgraph::core::test; + +namespace { + +using Amounts = std::vector; +using Ints = std::vector; +using Routes = std::vector; +using Texts = std::vector; +using DesignArg = std::optional>; + +constexpr Admission LL = Admission::Lossless; +constexpr Admission LY = Admission::Lossy; +constexpr Amount kBig = Amount {1} << 40; // a link that never limits anything + +DesignArg finite(Amount x) { return DesignArg {std::in_place, x}; } +const DesignArg kUnlimited {std::in_place, std::nullopt}; + +Amount lo(const Counter128& c) { + EXPECT_EQ(c.hi, 0U); + return static_cast(c.lo); +} +Amount lo(const std::optional& c) { return c.has_value() ? lo(*c) : -1; } + +std::string name_of(TunnelStatus s) { + switch (s) { + case TunnelStatus::Up: return "UP"; + case TunnelStatus::InsufficientBandwidth: return "INSUFFICIENT_BANDWIDTH"; + case TunnelStatus::CostCeilingExceeded: return "COST_CEILING_EXCEEDED"; + case TunnelStatus::Failed: return "FAILED"; + case TunnelStatus::Blackholed: return "BLACKHOLED"; + } + return "?"; +} +std::string name_of(Termination t) { + switch (t) { + case Termination::Complete: return "COMPLETE"; + case Termination::NoRoute: return "NO_ROUTE"; + case Termination::Exhausted: return "EXHAUSTED"; + case Termination::NoActiveWeight: return "NO_ACTIVE_WEIGHT"; + } + return "?"; +} + +// A graph of the example's edges (input order) with its input <-> EdgeId maps. +struct Net { + std::shared_ptr g; + std::vector id; // input position -> EdgeId + + explicit Net(const std::vector& edges, std::int32_t n = 0) { + for (const auto& e : edges) n = std::max({n, e.u + 1, e.v + 1}); + g = shared(make_graph(n, edges)); + id = id_of_input(*g); + } + [[nodiscard]] std::int64_t pos(EdgeId e) const { return g->input_positions()[static_cast(e)]; } + [[nodiscard]] std::size_t m() const { return id.size(); } + [[nodiscard]] Ints positions(const std::vector& edges) const { + Ints out; + for (EdgeId e : edges) out.push_back(pos(e)); + return out; + } + [[nodiscard]] std::vector ids(const Ints& positions) const { + std::vector out; + for (auto p : positions) out.push_back(id[static_cast(p)]); + return out; + } + // A per-EdgeId array in input order. + [[nodiscard]] Amounts in_order(const std::vector& by_id) const { return to_input(*g, by_id); } + // An (EdgeId, amount) list as a per-edge array in input order. + [[nodiscard]] Amounts per_edge(const std::vector>& pairs) const { + Amounts out(m(), 0); + for (const auto& [e, x] : pairs) out[static_cast(pos(e))] += x; + return out; + } + [[nodiscard]] Amounts per_edge(const std::vector>& pairs) const { + Amounts out(m(), 0); + for (const auto& [e, x] : pairs) out[static_cast(pos(e))] += lo(x); + return out; + } + // A per-input array in EdgeId order. + [[nodiscard]] Amounts by_id(const Amounts& by_input) const { return to_ids(*g, by_input); } + [[nodiscard]] std::shared_ptr mask(const std::vector& nodes, const Ints& edges) const { + if (nodes.empty() && edges.empty()) return nullptr; + return std::make_shared(g->eligibility(nodes, ids(edges))); + } + [[nodiscard]] std::shared_ptr dag(const Ints& edges) const { return dag_of(*g, ids(edges)); } + [[nodiscard]] std::shared_ptr path(const Ints& edges) const { + std::vector> hops; + for (EdgeId e : ids(edges)) hops.push_back({e}); + return std::make_shared(*g, hops); + } +}; + +struct Pol { + std::shared_ptr ledger; + std::shared_ptr mask; + std::unique_ptr p; + FlowPolicy* operator->() const { return p.get(); } +}; +Pol policy(const Net& n, const std::vector& s, const std::vector& d, FlowPolicyConfig cfg, + std::shared_ptr mask = nullptr, std::shared_ptr ledger = nullptr) { + Pol out {ledger ? std::move(ledger) : std::make_shared(n.g), std::move(mask), nullptr}; + out.p = std::make_unique(*out.ledger, s, d, std::move(cfg), out.mask.get()); + return out; +} + +const OutputOptions kFlows {.edge_flows = true}; + +// ---------------------------------------------------------------- shared integer rules + +Amounts ha(Amount n, const Amounts& w) { + Amounts out(w.size(), 0); + detail::highest_averages(n, w, out); + return out; +} + +// A reduced fraction num / den (den > 0) and its comparison by cross products. +struct Frac { + std::int64_t num; + std::int64_t den; +}; +Frac reduce(std::int64_t num, std::int64_t den) { + const auto g = std::gcd(num < 0 ? -num : num, den); + return {num / g, den / g}; +} +bool less(const Frac& a, const Frac& b) { return static_cast<__int128>(a.num) * b.den < static_cast<__int128>(b.num) * a.den; } +std::string text(const Frac& f) { return std::to_string(f.num) + "/" + std::to_string(f.den); } + +// Each split's largest excess and deficit against its exact share n w / W. +struct SplitError { + Amounts assigned; + Frac max_excess; + Frac max_deficit; + bool below_k; + bool below_one; +}; +SplitError split_error(Amount n, const Amounts& w) { + const Amounts got = ha(n, w); + Amount total = 0; + for (Amount x : w) total += x; + SplitError out {got, {-1, 1}, {-1, 1}, true, true}; + bool first = true; + const auto k = static_cast(w.size()); + for (std::size_t i = 0; i < w.size(); ++i) { + const Frac excess = reduce(got[i] * total - n * w[i], total); + const Frac deficit = reduce(n * w[i] - got[i] * total, total); + if (first || less(out.max_excess, excess)) out.max_excess = excess; + if (first || less(out.max_deficit, deficit)) out.max_deficit = deficit; + first = false; + const std::int64_t gap = excess.num < 0 ? -excess.num : excess.num; + out.below_k = out.below_k && gap < k * excess.den; + out.below_one = out.below_one && gap < excess.den; + } + return out; +} + +// ---------------------------------------------------------------- searches + +struct SearchOut { + std::optional distance; + Ints dag; + std::vector> paths; + std::string error; +}; +SearchOut search(const std::vector& edges, NodeId source, NodeId destination, std::optional residual = std::nullopt, + std::optional k = std::nullopt, std::optional stretch = std::nullopt) { + const Net n(edges); + SearchOut out; + Amounts res; + if (residual.has_value()) res = residual->size() == n.m() ? n.by_id(*residual) : *residual; + if (k.has_value()) { + KspOptions o(*k); + if (stretch.has_value()) o.cost_ceiling = *stretch; + if (residual.has_value()) o.residual = std::span(res); + out.error = error_of([&] { + for (const auto& [cost, p] : ksp(*n.g, source, destination, o)) { + std::vector es; + for (const auto& hop : p.hops()) es.push_back(hop.front()); + out.paths.emplace_back(cost, n.positions(es)); + } + }); + return out; + } + SpfOptions o(Direction::Forward); + o.targets = std::vector {destination}; + if (residual.has_value()) o.residual = std::span(res); + const NodeId roots[1] = {source}; + const auto r = spf(*n.g, roots, o); + out.distance = r.target_cost; + out.dag = n.positions(ascending_edges(r.dag)); + std::sort(out.dag.begin(), out.dag.end()); + return out; +} + +// The single path spf chooses under a tie rule (multipath false), on `available` as the residual. +Ints tie_choice(const std::vector& edges, NodeId source, NodeId destination, RouteTieBreak tie, + std::optional available = std::nullopt) { + const Net n(edges); + SpfOptions o(Direction::Forward); + o.targets = std::vector {destination}; + o.tie_break = tie; + o.multipath = false; + Amounts res; + if (available.has_value()) { + res = n.by_id(*available); + o.residual = std::span(res); + } + const NodeId roots[1] = {source}; + const auto r = spf(*n.g, roots, o); + const auto via = ascending_edges(r.dag); + // One path: order its edges from the source. + Ints out; + NodeId at = source; + while (at != destination) { + const auto it = std::find_if(via.begin(), via.end(), [&](EdgeId e) { return n.g->edge_sources()[static_cast(e)] == at; }); + if (it == via.end()) break; + out.push_back(n.pos(*it)); + at = n.g->edge_destinations()[static_cast(*it)]; + } + return out; +} + +// ---------------------------------------------------------------- exact flows (CentralizedTE) + +struct FlowOut { + Amount delivered; + Amount cost; + Amounts edge_flows; + std::optional min_cut; +}; +FlowOut exact_flow(const std::vector& edges, const std::vector& heads, const std::vector& dests, + std::optional limit, SourceAllocation s) { + const Net n(edges); + auto p = policy(n, heads, dests, {.routing = centralized(s)}); + const auto r = p->place(limit, OutputOptions {.edge_flows = true, .min_cut = true}); + FlowOut out {r.call_delivered, lo(r.total_cost), n.in_order(*r.edge_flows), std::nullopt}; + if (r.min_cut.has_value()) { + out.min_cut = n.positions(*r.min_cut); + std::sort(out.min_cut->begin(), out.min_cut->end()); + } + return out; +} + +// ---------------------------------------------------------------- T1 + +struct T1In { + std::vector edges; + std::vector heads; + std::vector destinations; + Amount design_demand; + std::int64_t per_head; + std::optional offer {}; + Ints excluded {}; + std::optional absolute {}; + std::optional stretch {}; +}; +struct T1Out { + std::string error; + Amounts requested; + Routes routes; + Texts status; + std::int64_t up {0}; + Amount reserved {0}; + Amounts edge_reservations; + Amount bound {0}; + Amounts offered_by_entry; + Amount source_drops {0}; + Amounts no_drop_load; + Amount lossy_delivery {0}; + Amounts lossy_edge_drops; + Amount lossless_admitted {0}; + Amount lossless_unadmitted {0}; +}; +T1Out t1(const T1In& in) { + const Net n(in.edges); + DistributedTE dte {TunnelCount {in.per_head}}; + if (in.absolute.has_value()) dte.cost_ceiling = AbsoluteCost {*in.absolute}; + if (in.stretch.has_value()) dte.cost_ceiling = *in.stretch; + const auto mask = n.mask({}, in.excluded); + T1Out out; + out.error = error_of([&] { (void)policy(n, in.heads, in.destinations, {.routing = dte, .admission = LL}, mask); }); + if (!out.error.empty()) return out; + auto bound = policy(n, in.heads, in.destinations, {.routing = dte, .admission = LL}, mask); + const auto b = bound->replace(std::nullopt, finite(in.design_demand), OutputOptions {.edge_reservations = true}); + out.bound = b.call_delivered; + out.reserved = b.plan->total_reserved_bandwidth; + out.edge_reservations = n.in_order(*b.edge_reservations); + Routes paths; + for (const auto& t : b.program->tunnels()) { + out.requested.push_back(t.requested_bandwidth); + out.status.push_back(name_of(t.status)); + out.up += t.status == TunnelStatus::Up ? 1 : 0; + paths.push_back(t.edges.has_value() ? n.positions(*t.edges) : Ints {}); + } + out.routes = paths; + if (!in.offer.has_value()) return out; + auto lossy = policy(n, in.heads, in.destinations, {.routing = dte, .admission = LY}, mask); + const auto r = lossy->replace(*in.offer, finite(in.design_demand)); + out.no_drop_load.assign(n.m(), 0); + for (std::size_t i = 0; i < r.by_tunnel.size(); ++i) { + const Amount a = lo(r.by_tunnel[i].assigned); + out.offered_by_entry.push_back(a); + for (auto e : paths[i]) out.no_drop_load[static_cast(e)] += a; + } + out.source_drops = r.call_source_drops; + out.lossy_delivery = r.call_delivered; + out.lossy_edge_drops = n.per_edge(r.call_edge_drops); + auto lossless = policy(n, in.heads, in.destinations, {.routing = dte, .admission = LL}, mask); + out.lossless_admitted = lossless->replace(*in.offer, finite(in.design_demand)).call_delivered; + out.lossless_unadmitted = *in.offer - out.lossless_admitted; + return out; +} + +// ---------------------------------------------------------------- T2 + +struct T2In { + std::vector edges; + std::vector heads; + std::vector destinations; + std::int64_t per_head; + std::optional design_demand {}; + std::optional cap {}; + bool prefer_headroom {false}; + std::optional lossy_offer {}; + std::optional support {}; + Ints excluded {}; + bool up_to {false}; +}; +struct T2Out { + TunnelPlan plan; + Ints counts; + Routes paths; + std::vector entry_ids; + Amount delivered {0}; // Lossless: the design's delivery (the design, or the bound without one) + Amount lossy_delivery {0}; + Amount lossy_source_drops {0}; +}; +std::shared_ptr ledger_of(const Net& n, const std::optional& service) { + if (!service.has_value()) return std::make_shared(n.g); + const Amounts v = n.by_id(*service); + return std::make_shared(n.g, v); +} +T2Out t2(const T2In& in) { + const Net n(in.edges); + const auto support = in.support.has_value() ? n.dag(*in.support) : nullptr; + const auto cte = centralized(SourceAllocation::Equal, support, TunnelCount {in.per_head, in.up_to}, in.prefer_headroom); + const auto mask = n.mask({}, in.excluded); + const DesignArg design = in.design_demand.has_value() ? finite(*in.design_demand) : kUnlimited; + auto p = policy(n, in.heads, in.destinations, {.routing = cte, .admission = LL}, mask, ledger_of(n, in.cap)); + const auto r = p->replace(in.design_demand, design); + T2Out out; + out.plan = *r.plan; + out.delivered = r.call_delivered; + out.counts.assign(n.m(), 0); + for (const auto& t : r.program->tunnels()) { + const Ints ps = n.positions(*t.edges); + for (auto e : ps) ++out.counts[static_cast(e)]; + out.paths.push_back(ps); + out.entry_ids.push_back(t.entry_id); + } + if (in.lossy_offer.has_value()) { + auto ly = policy(n, in.heads, in.destinations, {.routing = cte, .admission = LY}, mask, ledger_of(n, in.cap)); + const auto l = ly->replace(*in.lossy_offer, design); + out.lossy_delivery = l.call_delivered; + out.lossy_source_drops = l.call_source_drops; + } + return out; +} +std::pair fraction(Amount num, Amount den = 1) { return {num, den}; } +Counter128 c128(std::uint64_t x) { return Counter128 {0, x}; } + +// ---------------------------------------------------------------- programs of explicit routes + +// Routes over abstract links: each abstract link e of capacity cap[e] gets its own two nodes, and +// each route runs from its head through its links (joined by links that never limit anything) to +// the one destination. head_of[i] is route i's head (0, 1, ...); the destination follows the heads. +struct Routed { + Net net; + std::vector link; // abstract link -> EdgeId + std::vector> paths; + std::vector heads; + NodeId destination; +}; +Routed routed(const Amounts& cap, const Routes& routes, const std::vector& head_of) { + const NodeId h = *std::max_element(head_of.begin(), head_of.end()) + 1; + const NodeId dest = h; + auto tail = [&](std::int64_t e) { return static_cast(h + 1 + 2 * e); }; + auto headn = [&](std::int64_t e) { return static_cast(h + 2 + 2 * e); }; + std::vector rows; + for (std::size_t e = 0; e < cap.size(); ++e) rows.push_back({tail(static_cast(e)), headn(static_cast(e)), cap[e], 1}); + std::vector> rows_of(routes.size()); + for (std::size_t i = 0; i < routes.size(); ++i) { + const auto& r = routes[i]; + rows_of[i].push_back(rows.size()); + rows.push_back({head_of[i], tail(r.front()), kBig, 1}); + for (std::size_t j = 0; j < r.size(); ++j) { + rows_of[i].push_back(static_cast(r[j])); + if (j + 1 < r.size()) { + rows_of[i].push_back(rows.size()); + rows.push_back({headn(r[j]), tail(r[j + 1]), kBig, 1}); + } + } + rows_of[i].push_back(rows.size()); + rows.push_back({headn(r.back()), dest, kBig, 1}); + } + Routed out {Net(rows, h + 1 + 2 * static_cast(cap.size())), {}, {}, {}, dest}; + for (std::size_t e = 0; e < cap.size(); ++e) out.link.push_back(out.net.id[e]); + for (const auto& rs : rows_of) { + std::vector p; + for (auto r : rs) p.push_back(out.net.id[r]); + out.paths.push_back(p); + } + for (NodeId v = 0; v < h; ++v) out.heads.push_back(v); + return out; +} +std::shared_ptr routed_program(const Routed& r, const std::vector& head_of, const Amounts& weights) { + std::vector defs; + for (std::size_t i = 0; i < r.paths.size(); ++i) { + std::vector> hops; + for (EdgeId e : r.paths[i]) hops.push_back({e}); + defs.push_back(RouteDefinition {head_of[i], std::make_shared(*r.net.g, hops), weights[i]}); + } + const NodeId t[1] = {r.destination}; + return ForwardingProgram::from_routes(*r.net.g, r.heads, t, defs); +} + +// The one Lossy forwarding of routes with offers: one tunnel per route, weight = its offer, under +// head label[i] (the hierarchy's middle level; heads share the offer equally, so a head's routes +// must offer equal totals). Per route: what it carries and drops at each of its links, and what it +// delivers; per link, what it carries. +struct LossyOut { + std::string error; + Routes carried; + Routes edge_drops; + Amounts delivered; + Amounts edge_flows; +}; +LossyOut lossy(const Amounts& offers, const Routes& routes, const Amounts& cap, std::vector head_of = {}) { + if (head_of.empty()) head_of.assign(routes.size(), 0); + const Routed r = routed(cap, routes, head_of); + const auto prog = routed_program(r, head_of, offers); + auto p = policy(r.net, r.heads, {r.destination}, {.routing = Pinned {prog, nullptr}, .admission = LY}); + Amount total = 0; + for (Amount x : offers) total += x; + LossyOut out; + PlacementResult res; + out.error = error_of([&] { res = p->place(total, kFlows); }); + if (!out.error.empty()) return out; + std::map rec; + for (auto& x : p->records()) rec[*x.entry_id] = x; + for (std::size_t i = 0; i < routes.size(); ++i) { + Ints c; + Ints d; + for (auto e : routes[i]) { + const EdgeId id = r.link[static_cast(e)]; + Amount cf = 0; + Amount df = 0; + if (rec.count(static_cast(i)) != 0) { + for (const auto& [x, a] : rec[static_cast(i)].edge_flows) cf += x == id ? a : 0; + for (const auto& [x, a] : rec[static_cast(i)].edge_drops) df += x == id ? lo(a) : 0; + } + c.push_back(cf); + d.push_back(df); + } + out.carried.push_back(c); + out.edge_drops.push_back(d); + out.delivered.push_back(res.by_tunnel[i].delivered); + } + for (EdgeId id : r.link) out.edge_flows.push_back((*res.edge_flows)[static_cast(id)]); + return out; +} + +// The Lossless bound of one head's routes with weights. +Amount bound(const Amounts& cap, const Routes& routes, const Amounts& weights) { + const std::vector head_of(routes.size(), 0); + const Routed r = routed(cap, routes, head_of); + auto p = policy(r.net, r.heads, {r.destination}, {.routing = Pinned {routed_program(r, head_of, weights), nullptr}}); + return p->place(std::nullopt).call_delivered; +} + +// ---------------------------------------------------------------- stale forwarding + +struct StaleIn { + std::vector edges; + std::vector sources; + NodeId destination; + Amount offer; + std::vector> weights; + Ints black_links {}; + std::vector black_nodes {}; + Ints mask_links {}; + std::vector mask_nodes {}; +}; +struct StaleOut { + Amount delivered; + Amounts edge_flows; + Amounts edge_drops; + Amount source_drops; +}; +StaleOut stale_dag(const StaleIn& in) { + const Net n(in.edges); + Ints members; + bool equal = true; + Amounts w(n.m(), 0); + for (std::size_t e = 0; e < in.weights.size(); ++e) { + if (!in.weights[e].has_value()) continue; + members.push_back(static_cast(e)); + equal = equal && *in.weights[e] == 1; + w[e] = *in.weights[e]; + } + RouteOptions o; + if (!equal) { + o.allocation = RouteAllocation::Weighted; + o.weight_basis = WeightBasis::Explicit; + o.edge_weights = n.by_id(w); + } + const NodeId t[1] = {in.destination}; + const auto prog = ForwardingProgram::from_dag(*n.g, in.sources, t, n.dag(members), o); + auto p = policy(n, in.sources, {in.destination}, {.routing = Pinned {prog, n.mask(in.black_nodes, in.black_links)}, .admission = LY}, + n.mask(in.mask_nodes, in.mask_links)); + const auto r = p->place(in.offer, kFlows); + return {r.call_delivered, n.in_order(*r.edge_flows), n.per_edge(r.call_edge_drops), r.call_source_drops}; +} + +struct StalePathsIn { + std::vector edges; + std::vector> tunnels; + std::map offers; + Ints black_links {}; + std::vector black_nodes {}; + Ints mask_links {}; + std::vector mask_nodes {}; +}; +struct StalePathsOut { + Texts status; + Amounts assigned; + Amounts delivered; + Amounts edge_drops; + Amount source_drops; + std::optional lossless_admitted; +}; +StalePathsOut stale_paths(const StalePathsIn& in) { + const Net n(in.edges); + std::vector heads; + Amount total = 0; + for (const auto& [h, x] : in.offers) { + heads.push_back(h); + total += x; + EXPECT_EQ(x, in.offers.begin()->second); // heads share the offer equally + } + std::vector defs; + NodeId dest = 0; + for (const auto& [h, es] : in.tunnels) { + const auto p = n.path(es); + dest = p->destination(); + defs.push_back(RouteDefinition {h, p, 1}); + } + const NodeId t[1] = {dest}; + const auto prog = ForwardingProgram::from_routes(*n.g, heads, t, defs); + const FlowPolicyConfig ly {.routing = Pinned {prog, n.mask(in.black_nodes, in.black_links)}, .admission = LY}; + auto p = policy(n, heads, {dest}, ly, n.mask(in.mask_nodes, in.mask_links)); + const auto r = p->place(total); + StalePathsOut out; + for (const auto& row : r.by_tunnel) { + out.status.push_back(name_of(row.status)); + out.assigned.push_back(lo(row.assigned)); + out.delivered.push_back(row.delivered); + } + out.edge_drops = n.per_edge(r.call_edge_drops); + out.source_drops = r.call_source_drops; + if (heads.size() == 1 && r.call_source_drops == 0) { + FlowPolicyConfig ll = ly; + ll.admission = LL; + auto q = policy(n, heads, {dest}, ll, n.mask(in.mask_nodes, in.mask_links)); + out.lossless_admitted = q->place(total).call_delivered; + } + return out; +} + +// ---------------------------------------------------------------- the configuration's examples + +// The example graph of the configuration cases: 0 -> 1, 0 -> 2, 1 -> 2; one source [0] or two +// [0, 1]; destination 2; "dag" is the support {0 -> 2}. +const Net& config_net() { + static const Net n({{0, 1, 5, 1}, {0, 2, 5, 1}, {1, 2, 5, 1}}); + return n; +} + +std::string resolved(const Routing& r) { + auto opt = [](const auto& x, auto f) { return x.has_value() ? f(*x) : std::string("None"); }; + auto alloc = [](RouteAllocation a) { return std::string(a == RouteAllocation::Equal ? "EQUAL" : a == RouteAllocation::Weighted ? "WEIGHTED" : "OPTIMIZED"); }; + auto src = [](SourceAllocation s) { return std::string(s == SourceAllocation::Equal ? "EQUAL" : "OPTIMIZED"); }; + auto basis = [](WeightBasis b) { return std::string(b == WeightBasis::Capacity ? "CAPACITY" : b == WeightBasis::Explicit ? "EXPLICIT" : "RESIDUAL_SNAPSHOT"); }; + auto tie = [](RouteTieBreak t) { + switch (t) { + case RouteTieBreak::FewerHops: return std::string("FEWER_HOPS"); + case RouteTieBreak::HigherCapacity: return std::string("HIGHER_CAPACITY"); + case RouteTieBreak::HigherAvailableCapacity: return std::string("HIGHER_AVAILABLE_CAPACITY"); + case RouteTieBreak::HigherHeadroom: return std::string("HIGHER_HEADROOM"); + } + return std::string("?"); + }; + auto boolean = [](bool b) { return std::string(b ? "True" : "False"); }; + if (const auto* sp = std::get_if(&r)) { + return "allocation=" + alloc(sp->allocation) + " source_allocation=" + opt(sp->source_allocation, src) + + " weight_basis=" + opt(sp->weight_basis, basis) + " tie_break=" + tie(sp->tie_break) + " multipath=" + boolean(sp->multipath) + + " parallel_edges=" + boolean(sp->parallel_edges); + } + if (const auto* gl = std::get_if(&r)) { + auto count = [](const TunnelCount& t) { return std::to_string(t.per_head) + (t.up_to ? " up_to" : ""); }; + return "source_allocation=" + src(gl->source_allocation) + " support=" + (gl->support ? "dag" : "None") + + " tunnel_count=" + opt(gl->tunnel_count, count) + " prefer_headroom=" + boolean(gl->prefer_headroom); + } + return "valid"; +} + +// One configuration case: the policy's first error, else the resolved fields of the model (a +// zero call placed first: a zero offer skips no validation). +std::string config_case(Routing routing, int sources = 1, Admission admission = LL, bool cache = false, + std::optional, std::vector>> endpoints = std::nullopt) { + const Net& n = config_net(); + std::vector s = sources == 1 ? v({0}) : v({0, 1}); + std::vector d = v({2}); + if (endpoints.has_value()) std::tie(s, d) = *endpoints; + ShortestPathCache c(*n.g); + FlowLedger fg(n.g); + std::string got; + const auto e = error_of([&] { + FlowPolicy p(fg, s, d, {.routing = std::move(routing), .admission = admission}, nullptr, cache ? &c : nullptr); + const bool tunnels = std::holds_alternative(p.config().routing) || + (std::holds_alternative(p.config().routing) && + std::get(p.config().routing).tunnel_count.has_value()); + if (tunnels) { + (void)p.replace(0, finite(0)); + } else { + (void)p.place(0); + } + got = resolved(p.config().routing); + }); + return e.empty() ? got : e; +} +ShortestPaths sp_with(RouteAllocation a = RouteAllocation::Equal, std::optional s = std::nullopt, + std::optional b = std::nullopt, RouteTieBreak t = RouteTieBreak::FewerHops, bool multipath = true, + bool parallel = true) { + ShortestPaths sp; + sp.allocation = a; + sp.source_allocation = s; + sp.weight_basis = b; + sp.tie_break = t; + sp.multipath = multipath; + sp.parallel_edges = parallel; + return sp; +} +DistributedTE dte_with(std::int64_t count, bool up_to = false, std::optional ceiling = std::nullopt, Amount minimum = 0) { + DistributedTE d {TunnelCount {count, up_to}}; + d.cost_ceiling = ceiling; + d.min_unreserved_bandwidth = minimum; + return d; +} + +// One evaluation case: the evaluator's first error, else the offer and design it evaluated. +std::string evaluation_case(Routing routing, Admission admission, DesignArg offer, DesignArg design) { + const Net& n = config_net(); + EvaluationOptions o {{.routing = std::move(routing), .admission = admission}}; + o.offer = offer; + o.design_demand = design; + std::string got; + const auto e = error_of([&] { + const auto r = evaluate_demand(*n.g, v({0}), v({2}), o); + const std::string offered = !r.requested.has_value() ? (r.by_source[0].offered.has_value() ? "first-hop experiment" : "inf") + : std::to_string(lo(r.requested)); + const std::string d = !r.plan.has_value() ? "None" + : r.plan->design_demand.has_value() ? std::to_string(*r.plan->design_demand) + : "inf"; + got = "offer=" + offered + " design_demand=" + d; + }); + return e.empty() ? got : e; +} +Pinned config_pinned(const Net& n, NodeId to) { + const std::vector defs = {RouteDefinition {0, n.path({to == 1 ? 0 : 1}), 1}}; + const NodeId t[1] = {to}; + return Pinned {ForwardingProgram::from_routes(*n.g, v({0}), t, defs), nullptr}; +} + +// ---------------------------------------------------------------- calls on one policy + +struct EpochOut { + Amount requested; + Amount delivered; + Amount edge_drops; + Amounts edge_flows; + Amounts residual; + Amounts per_call; +}; +EpochOut epoch(const Amounts& cap, const Amounts& calls, bool full, Admission admission) { + std::vector rows; + for (Amount c : cap) rows.push_back({0, 1, c, 1}); + const Net n(rows); + auto p = policy(n, v({0}), v({1}), {.routing = ShortestPaths {}, .admission = admission}); + EpochOut out {}; + PlacementResult r; + if (full) { + Amount total = 0; + for (Amount x : calls) total += x; + r = p->place(total, kFlows); + out.per_call.push_back(r.call_delivered); + } else { + for (Amount x : calls) { + r = p->place(x, kFlows); + out.per_call.push_back(r.call_delivered); + } + } + out.requested = lo(r.requested); + out.delivered = r.delivered; + for (const auto& [e, x] : r.edge_drops) out.edge_drops += lo(x); + out.edge_flows = n.in_order(*r.edge_flows); + out.residual = n.in_order(p.ledger->residual()); + return out; +} + +// Sources 0 .. k - 1, each with its own link to node k (equal sources, ShortestPaths ECMP); before +// call c the other owners' load on link i is outside[c][i] (one Pinned policy per link). +struct IncrementsOut { + Amounts call_delivered; + Amount requested; + std::optional admitted; + std::optional unadmitted; + std::optional offered; + Amount delivered; + Amounts edge_drops; +}; +IncrementsOut increments(const Amounts& caps, const Amounts& calls, Admission admission, std::vector outside = {}) { + const auto k = static_cast(caps.size()); + std::vector rows; + for (NodeId i = 0; i < k; ++i) rows.push_back({i, k, caps[static_cast(i)], 1}); + const Net n(rows); + auto ledger = std::make_shared(n.g); + std::vector others; + for (NodeId i = 0; i < k && !outside.empty(); ++i) { + const std::vector defs = {RouteDefinition {i, n.path({i}), 1}}; + const NodeId s[1] = {i}; + const NodeId t[1] = {k}; + others.push_back(policy(n, {i}, {k}, {.routing = Pinned {ForwardingProgram::from_routes(*n.g, s, t, defs), nullptr}}, nullptr, ledger)); + } + std::vector sources; + for (NodeId i = 0; i < k; ++i) sources.push_back(i); + auto p = policy(n, sources, {k}, {.routing = ShortestPaths {}, .admission = admission}, nullptr, ledger); + IncrementsOut out {}; + PlacementResult r; + for (std::size_t c = 0; c < calls.size(); ++c) { + for (std::size_t i = 0; i < others.size(); ++i) (void)others[i]->replace(outside[c][i]); + r = p->place(calls[c]); + out.call_delivered.push_back(r.call_delivered); + } + out.requested = lo(r.requested); + out.admitted = admission == LL ? std::optional(lo(r.admitted)) : std::nullopt; + out.unadmitted = r.unadmitted.has_value() ? std::optional(lo(r.unadmitted)) : std::nullopt; + out.offered = r.offered.has_value() ? std::optional(lo(r.offered)) : std::nullopt; + out.delivered = r.delivered; + out.edge_drops = n.per_edge(r.edge_drops); + return out; +} + +// The installed program of a setup forwarded at `offer`: the program's tunnel count, the Lossy and +// Lossless terminations and the roster's per-source drops; forward works on the installed program. +struct TerminationOut { + std::size_t tunnels; + std::string lossy; + std::string lossless; + Amounts source_drops; + std::string forward_error; +}; +TerminationOut termination(const Net& n, const std::vector& s, const std::vector& d, const Routing& routing, + Amount offer, DesignArg design) { + auto ly = policy(n, s, d, {.routing = routing, .admission = LY}); + auto ll = policy(n, s, d, {.routing = routing, .admission = LL}); + const bool tunnel_model = !std::holds_alternative(routing); + const auto a = tunnel_model ? ly->replace(offer, design) : ly->place(offer); + const auto b = tunnel_model ? ll->replace(offer, design) : ll->place(offer); + TerminationOut out {a.program ? a.program->tunnels().size() : 0, name_of(a.termination), name_of(b.termination), {}, ""}; + for (const auto& row : a.by_source) out.source_drops.push_back(lo(row.source_drops)); + if (tunnel_model) out.forward_error = error_of([&] { (void)ly->forward(offer); }); + return out; +} + +// The edges of a T1 example with heads 0 .. h - 1 and one link each to node h. +std::vector fan(NodeId h, Amount cap) { + std::vector rows; + for (NodeId i = 0; i < h; ++i) rows.push_back({i, h, cap, 1}); + return rows; +} + +const std::vector kX8 = {{0, 2, 0, 1}, {1, 2, 8, 3}}; +const std::vector kG1 = {{0, 1, 8192, 1}, {0, 2, 40960, 1}, {1, 3, 8192, 1}, {2, 3, 40960, 1}}; +const std::vector kX7 = {{0, 1, 6, 1}, {0, 2, 6, 3}, {1, 2, 4, 1}, {1, 3, 6, 3}, {2, 3, 6, 1}}; +const std::vector kG10 = { + {0, 1, 40960, 1}, {0, 5, 40960, 1}, {0, 3, 24576, 2}, {1, 0, 40960, 1}, {1, 2, 40960, 1}, {1, 4, 16384, 2}, + {2, 1, 40960, 1}, {2, 3, 40960, 1}, {2, 5, 20480, 2}, {3, 2, 40960, 1}, {3, 4, 40960, 1}, {3, 0, 24576, 2}, + {4, 3, 40960, 1}, {4, 5, 40960, 1}, {4, 1, 16384, 2}, {5, 0, 40960, 1}, {5, 4, 40960, 1}, {5, 2, 20480, 2}}; +const std::vector kDP = {{0, 2, 10, 1}, {1, 2, 10, 1}, {2, 3, 1, 1}, {2, 3, 1, 1}}; +const std::vector kSup = {{0, 1, 6, 1}, {0, 1, 6, 1}, {0, 1, 100, 2}}; + +} // namespace + +// ================================================================ shared integer rules + +TEST(ContractExamples, E_configured) { EXPECT_EQ(ha(12, {1, 2}), (Amounts {4, 8})); } +TEST(ContractExamples, E_snapshot) { EXPECT_EQ(ha(12, {2, 10}), (Amounts {2, 10})); } +TEST(ContractExamples, E_source_survivor) { EXPECT_EQ(ha(16, {3, 1}), (Amounts {12, 4})); } +TEST(ContractExamples, H_not_one_unit) { EXPECT_EQ(ha(50, {100, 1, 1, 1}), (Amounts {50, 0, 0, 0})); } + +// R3-H-large, H(2^126 - 1, [2^125, 2^125]) = [2^125, 2^125 - 1], is outside the domain (amounts +// and weights below 2^62): the library refuses its weight and its offer, and the same rounding at +// the largest inputs of the domain gives the rule's values (the Python test computes the same +// values with the rule written out and checks them on the library there too). Each analogue runs +// on the rule itself and as a LOSSY offer over tunnels of those weights on links of capacity 1. +TEST(ContractExamples, R3_H_large) { + constexpr Amount kTop = (Amount {1} << 62) - 1; + const Net n({{0, 1, 1, 1}, {0, 1, 1, 1}}); + const NodeId s[1] = {0}; + const NodeId t[1] = {1}; + const std::vector beyond = {RouteDefinition {0, n.path({0}), kTop + 1}}; + EXPECT_THROW((void)ForwardingProgram::from_routes(*n.g, s, t, beyond), std::invalid_argument); + const std::vector unit = {RouteDefinition {0, n.path({0}), 1}}; + const auto one = ForwardingProgram::from_routes(*n.g, s, t, unit); + auto p = policy(n, {0}, {1}, {.routing = Pinned {one, nullptr}, .admission = LY}); + EXPECT_THROW((void)p->place(kTop + 1), std::invalid_argument); + + constexpr Amount half = Amount {1} << 61; + const std::vector, Amounts>> analogues = { + {{kTop, {half, half}}, {half, half - 1}}, + {{kTop, {kTop, kTop}}, {half, half - 1}}, + {{kTop, {kTop, kTop - 1, 1}}, {half, half - 1, 0}}, + {{kTop - 1, {kTop, half, 3}}, {3074457345618258601, 1537228672809129300, 1}}, + {{kTop, {3, 5, 7}}, {922337203685477580, 1537228672809129301, 2152120141932781022}}, + }; + for (const auto& [in, want] : analogues) { + const auto& [total, weights] = in; + EXPECT_EQ(ha(total, weights), want); + std::vector links; + std::vector defs; + for (std::size_t i = 0; i < weights.size(); ++i) links.push_back({0, 1, 1, 1}); + const Net m(links); + for (std::size_t i = 0; i < weights.size(); ++i) { + defs.push_back(RouteDefinition {0, m.path({static_cast(i)}), weights[i]}); + } + auto q = policy(m, {0}, {1}, {.routing = Pinned {ForwardingProgram::from_routes(*m.g, s, t, defs), nullptr}, .admission = LY}); + Amounts got; + for (const auto& row : q->place(total).by_tunnel) got.push_back(lo(row.assigned)); + EXPECT_EQ(got, want); + } +} + +// The 128-bit cumulative offers near 2^126 (beyond any one call, reached by increments): from +// X = 2^126 - 2 (split equally) one more unit goes to source 0; from 2^126 - 4, two more units +// split (1, 1). +TEST(CumulativeOffers, IncrementsNear2To126) { + const Net n({{0, 2, 10, 1}, {1, 2, 10, 1}}); + const std::vector defs = {RouteDefinition {0, n.path({0}), 1}, RouteDefinition {1, n.path({1}), 1}}; + const NodeId t[1] = {2}; + const auto prog = ForwardingProgram::from_routes(*n.g, v({0, 1}), t, defs); + const auto view = detail::make_forwarding_view(*n.g, prog, nullptr, v({2}), nullptr, false); + const Counter128 just_below {(std::uint64_t {1} << 62) - 1, ~std::uint64_t {0} - 1}; // 2^126 - 2 + Amounts out(2, 0); + detail::source_offer_increments(view, just_below, 1, out); + EXPECT_EQ(out, (Amounts {1, 0})); + const Counter128 four_below {(std::uint64_t {1} << 62) - 1, ~std::uint64_t {0} - 3}; // 2^126 - 4 + detail::source_offer_increments(view, four_below, 2, out); + EXPECT_EQ(out, (Amounts {1, 1})); +} + +TEST(ContractExamples, H_local_bound) { + Amounts w(11, 1); + w[0] = 1000000; + const auto e = split_error(1000000, w); + EXPECT_EQ(e.assigned, (Amounts {1000000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0})); + EXPECT_EQ(text(e.max_excess), "1000000/100001"); + EXPECT_EQ(text(e.max_deficit), "100000/100001"); + EXPECT_TRUE(e.below_k); +} + +TEST(ContractExamples, RR_local_bound) { + const auto e = split_error(10, {1, 1, 1}); + EXPECT_EQ(e.assigned, (Amounts {4, 3, 3})); + EXPECT_EQ(text(e.max_excess), "2/3"); + EXPECT_EQ(text(e.max_deficit), "1/3"); + EXPECT_TRUE(e.below_one); +} + +// Every split with total <= 24, 1 to 4 members and weights 0 .. 4 (not all zero): each member within +// k of its exact share, within 1 when the weights are equal. +TEST(ContractExamples, H_bound_sweep) { + std::int64_t cases = 0; + std::int64_t violations = 0; + std::int64_t equal_violations = 0; + for (std::size_t k = 1; k <= 4; ++k) { + std::size_t combos = 1; + for (std::size_t i = 0; i < k; ++i) combos *= 5; + for (std::size_t c = 0; c < combos; ++c) { + Amounts w(k); + std::size_t x = c; + for (std::size_t i = k; i-- > 0;) { + w[i] = static_cast(x % 5); + x /= 5; + } + if (std::all_of(w.begin(), w.end(), [](Amount y) { return y == 0; })) continue; + const bool equal = std::all_of(w.begin(), w.end(), [&](Amount y) { return y == w[0]; }); + for (Amount n = 0; n <= 24; ++n) { + ++cases; + const auto e = split_error(n, w); + violations += e.below_k ? 0 : 1; + if (equal) equal_violations += e.below_one ? 0 : 1; + } + } + } + EXPECT_EQ(cases, 19400); + EXPECT_EQ(violations, 0); + EXPECT_EQ(equal_violations, 0); +} + +// Members in prepared order (ascending EdgeId): member 1 (input order) has the smaller EdgeId (its +// lower cost sorts it first), so one unit goes to it. +TEST(ContractExamples, R3_member_order) { + const Net n({{0, 1, 5, 2}, {0, 1, 5, 1}}); + ASSERT_LT(n.id[1], n.id[0]); + const std::vector defs = {RouteDefinition {0, n.dag({0, 1}), 1}}; + const NodeId t[1] = {1}; + auto p = policy(n, v({0}), v({1}), {.routing = Pinned {ForwardingProgram::from_routes(*n.g, v({0}), t, defs), nullptr}, .admission = LY}); + EXPECT_EQ(n.in_order(*p->place(1, kFlows).edge_flows), (Amounts {0, 1})); +} + +// Two sources of one unit each meet at router 2, which splits the pooled two units once over its +// two members (one each), attributed back by H: member 0's unit to source 0, member 1's to source 1. +// Splitting each source separately puts both units on the first member. +TEST(ContractExamples, B_pooled) { + const Net n({{0, 2, 10, 1}, {1, 2, 10, 1}, {2, 3, 10, 1}, {2, 3, 10, 1}}); + const NodeId t[1] = {3}; + auto pooled = policy(n, v({0, 1}), v({3}), {.routing = Pinned {ForwardingProgram::from_dag(*n.g, v({0, 1}), t, n.dag({0, 1, 2, 3})), nullptr}, .admission = LY}); + const auto r = pooled->place(2, kFlows); + EXPECT_EQ(n.in_order(*r.edge_flows), (Amounts {1, 1, 1, 1})); // columns [1, 1] + std::vector> by_column(2, Amounts(2, 0)); + for (const auto& rec : pooled->records()) { + const auto src = rec.sources.at(0); + for (const auto& [e, x] : rec.edge_flows) { + const auto c = n.pos(e) - 2; + if (c >= 0) by_column[static_cast(c)][static_cast(src)] += x; + } + } + EXPECT_EQ(by_column, (std::vector {{1, 0}, {0, 1}})); + const std::vector defs = {RouteDefinition {0, n.dag({0, 2, 3}), 1}, RouteDefinition {1, n.dag({1, 2, 3}), 1}}; + auto separate = policy(n, v({0, 1}), v({3}), {.routing = Pinned {ForwardingProgram::from_routes(*n.g, v({0, 1}), t, defs), nullptr}, .admission = LY}); + const auto flows = n.in_order(*separate->place(2, kFlows).edge_flows); + EXPECT_EQ((Amounts {flows[2], flows[3]}), (Amounts {2, 0})); // independent columns +} + +// ================================================================ searches + +const std::vector kZeroEdge = {{0, 1, 0, 1}, {0, 2, 5, 1}, {2, 1, 5, 1}}; + +TEST(ContractExamples, SPF_zero_edge) { + const auto r = search(kZeroEdge, 0, 1); + EXPECT_EQ(r.distance, std::optional(1)); + EXPECT_EQ(r.dag, (Ints {0})); +} +TEST(ContractExamples, SPF_zero_edge_residual) { + const auto r = search(kZeroEdge, 0, 1, Amounts {0, 5, 5}); + EXPECT_EQ(r.distance, std::optional(2)); + EXPECT_EQ(r.dag, (Ints {1, 2})); +} +TEST(ContractExamples, KSP_zero_edge) { + const auto r = search(kZeroEdge, 0, 1, std::nullopt, 2); + EXPECT_EQ(r.paths, (std::vector> {{1, {0}}, {2, {1, 2}}})); +} +TEST(ContractExamples, KSP_zero_edge_residual) { + const auto r = search(kZeroEdge, 0, 1, Amounts {0, 5, 5}, 2); + EXPECT_EQ(r.paths, (std::vector> {{2, {1, 2}}})); +} + +// A ceiling of another type is a Python value; in C++ the ceiling is a variant of the two types. +// The valid part: with a residual of the wrong length, ksp refuses the residual (the type check +// that comes first has nothing to refuse here). +TEST(ContractExamples, KSP_ceiling_type) { + static_assert(std::variant_size_v == 2); + const auto r = search({{0, 1, 10, 5}}, 0, 1, Amounts {10, 10}, 2); + EXPECT_EQ(r.error, "residual has length 2, expected 1 (one entry per edge)"); +} +TEST(ContractExamples, KSP_stretch_below_one) { + const auto r = search({{0, 1, 10, 5}}, 0, 1, std::nullopt, 2, CostStretch(1, 2)); + EXPECT_EQ(r.error, "cost_ceiling CostStretch factor must be >= 1 (got 1/2)"); +} +TEST(ContractExamples, KSP_ceiling_before_residual) { + const auto r = search({{0, 1, 10, 5}}, 0, 1, Amounts {10, 10}, 2, CostStretch(1, 2)); + EXPECT_EQ(r.error, "cost_ceiling CostStretch factor must be >= 1 (got 1/2)"); +} +TEST(ContractExamples, KSP_residual_length) { + const auto r = search({{0, 1, 10, 5}}, 0, 1, Amounts {10, 10}, 2, CostStretch(3, 2)); + EXPECT_EQ(r.error, "residual has length 2, expected 1 (one entry per edge)"); +} +// numpy.float32(1.2) is the fraction 6/5 (its own shortest decimal). +TEST(ContractExamples, KSP_stretch_numpy) { + const auto r = search({{0, 1, 0, 100000000}, {0, 1, 10, 120000001}}, 0, 1, Amounts {0, 10}, 2, CostStretch(6, 5)); + EXPECT_EQ(r.error, ""); + EXPECT_TRUE(r.paths.empty()); +} +TEST(ContractExamples, KSP_stretch_numpy_equal) { + const auto r = search({{0, 1, 0, 100000000}, {0, 1, 10, 120000000}}, 0, 1, Amounts {0, 10}, 2, CostStretch(6, 5)); + EXPECT_EQ(r.paths, (std::vector> {{120000000, {1}}})); +} +// The float 1.2 is the fraction 6/5. +TEST(ContractExamples, KSP_stretch_boundary) { + const auto r = search({{0, 1, 0, 5}, {0, 1, 10, 6}}, 0, 1, Amounts {0, 10}, 2, CostStretch(6, 5)); + EXPECT_EQ(r.paths, (std::vector> {{6, {1}}})); +} +TEST(ContractExamples, KSP_stretch_below) { + const auto r = search({{0, 1, 0, 5}, {0, 1, 10, 6}}, 0, 1, Amounts {0, 10}, 2, CostStretch(11, 10)); + EXPECT_EQ(r.error, ""); + EXPECT_TRUE(r.paths.empty()); +} + +TEST(ContractExamples, TIE_parallel) { + const std::vector e = {{0, 1, 4, 1}, {0, 1, 10, 1}, {0, 1, 100, 1}, {0, 1, 1000, 2}}; + const Amounts avail = {4, 8, 5, 1000}; + EXPECT_EQ(tie_choice(e, 0, 1, RouteTieBreak::FewerHops, avail), (Ints {0})); + EXPECT_EQ(tie_choice(e, 0, 1, RouteTieBreak::HigherCapacity, avail), (Ints {2})); + EXPECT_EQ(tie_choice(e, 0, 1, RouteTieBreak::HigherAvailableCapacity, avail), (Ints {1})); + EXPECT_EQ(tie_choice(e, 0, 1, RouteTieBreak::HigherHeadroom, avail), (Ints {0})); +} +TEST(ContractExamples, TIE_routes) { + const std::vector e = {{0, 1, 10, 1}, {0, 2, 3, 2}, {1, 2, 10, 1}}; + EXPECT_EQ(tie_choice(e, 0, 2, RouteTieBreak::FewerHops), (Ints {1})); + EXPECT_EQ(tie_choice(e, 0, 2, RouteTieBreak::HigherCapacity), (Ints {0, 2})); + EXPECT_EQ(tie_choice(e, 0, 2, RouteTieBreak::HigherAvailableCapacity), (Ints {0, 2})); + EXPECT_EQ(tie_choice(e, 0, 2, RouteTieBreak::HigherHeadroom), (Ints {1})); +} +TEST(ContractExamples, TIE_bottleneck) { + const std::vector e = {{0, 1, 10, 1}, {0, 2, 3, 2}, {1, 2, 1, 1}}; + for (const auto t : {RouteTieBreak::FewerHops, RouteTieBreak::HigherCapacity, RouteTieBreak::HigherAvailableCapacity, + RouteTieBreak::HigherHeadroom}) { + EXPECT_EQ(tie_choice(e, 0, 2, t), (Ints {1})); + } +} + +// ================================================================ exact flows + +const std::vector kB1 = {{0, 3, 2, 1}, {1, 2, 10, 1}, {2, 3, 10, 2}}; +const std::vector kB2 = {{0, 1, 4, 1}, {0, 2, 2, 1}, {1, 2, 10, 1}}; + +void expect_flow(const FlowOut& got, Amount delivered, Amount cost, const Amounts& flows) { + EXPECT_EQ(got.delivered, delivered); + EXPECT_EQ(got.cost, cost); + EXPECT_EQ(got.edge_flows, flows); +} +TEST(ContractExamples, B1_equal) { expect_flow(exact_flow(kB1, v({0, 1}), v({3}), 12, SourceAllocation::Equal), 4, 8, {2, 2, 2}); } +TEST(ContractExamples, B1_optimized) { + expect_flow(exact_flow(kB1, v({0, 1}), v({3}), 12, SourceAllocation::Optimized), 12, 32, {2, 10, 10}); +} +TEST(ContractExamples, MINCUT_B1) { + const auto r = exact_flow(kB1, v({0, 1}), v({3}), std::nullopt, SourceAllocation::Optimized); + EXPECT_EQ(r.delivered, 12); + EXPECT_EQ(r.min_cut, std::optional(Ints {0, 1})); +} +TEST(ContractExamples, MINCUT_zero_edge) { + const auto r = exact_flow({{0, 2, 0, 1}, {1, 2, 10, 1}}, v({0, 1}), v({2}), std::nullopt, SourceAllocation::Optimized); + EXPECT_EQ(r.delivered, 10); + EXPECT_EQ(r.min_cut, std::optional(Ints {0, 1})); +} +TEST(ContractExamples, B2_equal_global) { expect_flow(exact_flow(kB2, v({0, 1}), v({2}), 12, SourceAllocation::Equal), 12, 16, {4, 2, 10}); } +TEST(ContractExamples, B2_shortest) { + expect_flow(exact_flow({{0, 2, 2, 1}, {1, 2, 10, 1}}, v({0, 1}), v({2}), 12, SourceAllocation::Equal), 4, 4, {2, 2}); +} +TEST(ContractExamples, B2_optimized) { + expect_flow(exact_flow(kB2, v({0, 1}), v({2}), 12, SourceAllocation::Optimized), 12, 12, {0, 2, 10}); +} +TEST(ContractExamples, B3_zero_first) { + expect_flow(exact_flow({{0, 2, 0, 1}, {1, 2, 10, 1}}, v({0, 1}), v({2}), 10, SourceAllocation::Equal), 0, 0, {0, 0}); +} +TEST(ContractExamples, B3_positive_first) { + expect_flow(exact_flow({{0, 2, 10, 1}, {1, 2, 0, 1}}, v({0, 1}), v({2}), 10, SourceAllocation::Equal), 1, 1, {1, 0}); +} +TEST(ContractExamples, B3_delete_zero) { + expect_flow(exact_flow({{0, 2, 0, 1}, {1, 2, 10, 1}}, v({1}), v({2}), 10, SourceAllocation::Equal), 10, 10, {0, 10}); +} +TEST(ContractExamples, E_support) { + expect_flow(exact_flow({{0, 1, 10, 1}, {0, 2, 10, 1}, {1, 3, 2, 1}, {2, 3, 10, 2}}, v({0}), v({3}), 12, SourceAllocation::Equal), 12, 34, + {2, 10, 2, 10}); +} +TEST(ContractExamples, E_support_shortest) { + expect_flow(exact_flow({{0, 1, 10, 1}, {1, 3, 2, 1}}, v({0}), v({3}), 12, SourceAllocation::Equal), 2, 4, {2, 2}); +} +TEST(ContractExamples, T2_OPT_global) { + expect_flow(exact_flow({{0, 2, 2, 1}, {1, 2, 10, 1}}, v({0, 1}), v({2}), 12, SourceAllocation::Optimized), 12, 12, {2, 10}); +} + +// Two sources with private links (capacities 2 and 10, costs 9 and 1), equal sources, Lossless +// increments of 3: the second call can add only 1 (both sources must carry the same). +TEST(ContractExamples, R4_lossless_equal) { + const Net n({{0, 2, 2, 9}, {1, 2, 10, 1}}); + auto p = policy(n, v({0, 1}), v({2}), {.routing = centralized(SourceAllocation::Equal)}); + const auto a = p->place(3); + const auto b = p->place(3, kFlows); + EXPECT_EQ((Amounts {a.call_delivered, b.call_delivered}), (Amounts {3, 1})); + EXPECT_EQ(n.in_order(*b.edge_flows), (Amounts {2, 2})); + EXPECT_EQ(b.delivered, 4); + EXPECT_EQ(lo(b.total_cost), 20); +} + +// One unit from 0 to 2 over 0 -> 2 (cost 1) or 0 -> 1 -> 0 -> 2 (a cycle 0 -> 1 -> 0 of cost 2): the +// library's flow is the minimum-cost one, [0, 1, 0] at cost 1, with no positive-flow cycle; the +// cyclic flow [1, 1, 1] costs 3, above that minimum. +const std::vector kWitness = {{0, 1, 1, 1}, {0, 2, 1, 1}, {1, 0, 1, 1}}; +TEST(ContractExamples, R3_residual_optimal) { + const auto r = exact_flow(kWitness, v({0}), v({2}), 1, SourceAllocation::Optimized); + EXPECT_EQ(r.edge_flows, (Amounts {0, 1, 0})); + EXPECT_EQ(r.cost, 1); +} +TEST(ContractExamples, R3_residual_cyclic) { + const auto r = exact_flow(kWitness, v({0}), v({2}), 1, SourceAllocation::Optimized); + EXPECT_EQ(r.cost, 1); // the minimum cost at value 1 + const Amounts cyclic = {1, 1, 1}; + Amount cost = 0; + for (std::size_t e = 0; e < cyclic.size(); ++e) cost += cyclic[e] * kWitness[e].cost; + EXPECT_EQ(cost, 3); + EXPECT_NE(r.edge_flows, cyclic); // not the minimum-cost flow +} + +// ================================================================ T1 + +void expect_t1_base(const T1Out& r, const Amounts& requested, const Routes& routes, std::int64_t up, Amount reserved, + const Amounts& reservations, Amount bound_) { + EXPECT_EQ(r.error, ""); + EXPECT_EQ(r.requested, requested); + EXPECT_EQ(r.routes, routes); + EXPECT_EQ(r.up, up); + EXPECT_EQ(r.reserved, reserved); + EXPECT_EQ(r.edge_reservations, reservations); + EXPECT_EQ(r.bound, bound_); +} +void expect_t1_offer(const T1Out& r, const Amounts& offered, Amount source_drops, const Amounts& no_drop_load) { + EXPECT_EQ(r.offered_by_entry, offered); + EXPECT_EQ(r.source_drops, source_drops); + EXPECT_EQ(r.no_drop_load, no_drop_load); +} + +TEST(ContractExamples, A_X1) { + const auto r = t1({{{0, 1, 6, 1}, {0, 1, 6, 2}}, v({0}), v({1}), 12, 4, 13}); + expect_t1_base(r, {3, 3, 3, 3}, {{0}, {0}, {1}, {1}}, 4, 12, {6, 6}, 12); + expect_t1_offer(r, {4, 3, 3, 3}, 0, {7, 6}); + EXPECT_EQ(r.lossy_delivery, 12); + EXPECT_EQ(r.lossy_edge_drops, (Amounts {1, 0})); + EXPECT_EQ(r.lossless_admitted, 12); + EXPECT_EQ(r.lossless_unadmitted, 1); +} +TEST(ContractExamples, A_X2) { + const auto r = t1({{{0, 1, 3, 1}, {0, 1, 2, 2}}, v({0}), v({1}), 5, 2, 5}); + expect_t1_base(r, {3, 2}, {{0}, {1}}, 2, 5, {3, 2}, 5); + expect_t1_offer(r, {3, 2}, 0, {3, 2}); +} +TEST(ContractExamples, A_X2_small_share) { + const auto r = t1({{{0, 1, 6, 1}, {0, 1, 6, 2}}, v({0}), v({1}), 1, 2, 1}); + expect_t1_base(r, {1, 0}, {{0}, {0}}, 2, 1, {1, 0}, 6); + expect_t1_offer(r, {1, 0}, 0, {1, 0}); + EXPECT_EQ(r.status, (Texts {"UP", "UP"})); +} +TEST(ContractExamples, T1_over_reservation) { + const auto r = t1({{{0, 1, 5, 1}, {0, 1, 5, 1}}, v({0}), v({1}), 8, 2, 10}); + EXPECT_EQ(r.requested, (Amounts {4, 4})); + EXPECT_EQ(r.routes, (Routes {{0}, {1}})); + EXPECT_EQ(r.edge_reservations, (Amounts {4, 4})); + EXPECT_EQ(r.offered_by_entry, (Amounts {5, 5})); + EXPECT_EQ(r.no_drop_load, (Amounts {5, 5})); + EXPECT_EQ(r.lossy_delivery, 10); + EXPECT_EQ(r.lossy_edge_drops, (Amounts {0, 0})); + EXPECT_EQ(r.bound, 10); +} +TEST(ContractExamples, T1_zero_link_drop) { + const auto r = t1({{{0, 1, 0, 1}}, v({0}), v({1}), 0, 1, 1}); + EXPECT_EQ(r.requested, (Amounts {0})); + EXPECT_EQ(r.routes, (Routes {{0}})); + EXPECT_EQ(r.status, (Texts {"UP"})); + EXPECT_EQ(r.offered_by_entry, (Amounts {1})); + EXPECT_EQ(r.source_drops, 0); + EXPECT_EQ(r.lossy_delivery, 0); + EXPECT_EQ(r.lossy_edge_drops, (Amounts {1})); + EXPECT_EQ(r.bound, 0); + EXPECT_EQ(r.lossless_admitted, 0); + EXPECT_EQ(r.lossless_unadmitted, 1); +} +TEST(ContractExamples, A_X3) { + const auto r = t1({{{0, 1, 2, 1}, {0, 1, 10, 2}}, v({0}), v({1}), 12, 4, 12}); + expect_t1_base(r, {3, 3, 3, 3}, {{1}, {1}, {1}, {}}, 3, 9, {0, 9}, 10); + expect_t1_offer(r, {4, 4, 4, 0}, 0, {0, 12}); + EXPECT_EQ(r.status, (Texts {"UP", "UP", "UP", "INSUFFICIENT_BANDWIDTH"})); +} +TEST(ContractExamples, A_X4) { + const auto r = t1({{{0, 2, 6, 1}, {1, 2, 6, 1}, {2, 3, 6, 1}}, v({0, 1}), v({3}), 12, 2, 12}); + expect_t1_base(r, {3, 3, 3, 3}, {{0, 2}, {1, 2}, {}, {}}, 2, 6, {3, 3, 6}, 6); + expect_t1_offer(r, {6, 6, 0, 0}, 0, {6, 6, 12}); +} +TEST(ContractExamples, A_X5) { + const auto r = t1({fan(3, 20), v({0, 1, 2}), v({3}), 2, 1, 3}); + expect_t1_base(r, {1, 1, 0}, {{0}, {1}, {2}}, 3, 2, {1, 1, 0}, 60); + expect_t1_offer(r, {1, 1, 1}, 0, {1, 1, 1}); +} +TEST(ContractExamples, A_X6) { + const auto r = t1({{{0, 1, 5, 1}, {0, 1, 5, 1}}, v({0}), v({1}), 8, 2, 8}); + expect_t1_base(r, {4, 4}, {{0}, {1}}, 2, 8, {4, 4}, 10); + expect_t1_offer(r, {4, 4}, 0, {4, 4}); +} +TEST(ContractExamples, A_X8) { + const auto r = t1({kX8, v({0, 1}), v({2}), 4, 1, 4}); + expect_t1_base(r, {2, 2}, {{}, {1}}, 1, 2, {0, 2}, 0); + expect_t1_offer(r, {0, 2}, 2, {0, 2}); +} +TEST(ContractExamples, A_X9) { + const auto r = t1({kG1, v({0}), v({3}), 49152, 16, 49152}); + Routes routes = {{0, 2}, {0, 2}}; + for (int i = 0; i < 13; ++i) routes.push_back({1, 3}); + routes.push_back({}); + expect_t1_base(r, Amounts(16, 3072), routes, 15, 46080, {6144, 39936, 6144, 39936}, 47262); + Amounts offered(12, 3277); + for (int i = 0; i < 3; ++i) offered.push_back(3276); + offered.push_back(0); + expect_t1_offer(r, offered, 0, {6554, 42598, 6554, 42598}); +} +TEST(ContractExamples, A_X9_large_design) { + const auto r = t1({kG1, v({0}), v({3}), 409600, 16}); + Routes routes = {{1, 3}}; + for (int i = 0; i < 15; ++i) routes.push_back({}); + expect_t1_base(r, Amounts(16, 25600), routes, 1, 25600, {0, 25600, 0, 25600}, 40960); +} +TEST(ContractExamples, A_X8_delete_zero_edge) { + T1In in {kX8, v({0, 1}), v({2}), 4, 1}; + in.excluded = {0}; + expect_t1_base(t1(in), {4}, {{1}}, 1, 4, {0, 4}, 8); +} +TEST(ContractExamples, A_X8_Stretch2) { + T1In in {kX8, v({0, 1}), v({2}), 4, 1}; + in.stretch = CostStretch(2); + const auto r = t1(in); + expect_t1_base(r, {2, 2}, {{}, {}}, 0, 0, {0, 0}, 0); + EXPECT_EQ(r.status, (Texts {"INSUFFICIENT_BANDWIDTH", "COST_CEILING_EXCEEDED"})); +} +TEST(ContractExamples, A_X8_Absolute3) { + T1In in {kX8, v({0, 1}), v({2}), 4, 1}; + in.absolute = 3; + const auto r = t1(in); + expect_t1_base(r, {2, 2}, {{}, {1}}, 1, 2, {0, 2}, 0); + EXPECT_EQ(r.status, (Texts {"INSUFFICIENT_BANDWIDTH", "UP"})); +} +// The float factor 1.2 is the fraction 6/5: cost 6 against 5 * 6/5 = 6 is admitted. +TEST(ContractExamples, A_X8_Stretch_exact) { + T1In in {{{0, 1, 0, 5}, {0, 1, 1, 6}}, v({0}), v({1}), 1, 1, 1}; + in.stretch = CostStretch(6, 5); + const auto r = t1(in); + EXPECT_EQ(r.status, (Texts {"UP"})); + EXPECT_EQ(r.routes, (Routes {{1}})); + EXPECT_EQ(r.up, 1); + EXPECT_EQ(r.lossy_delivery, 1); + EXPECT_EQ(r.source_drops, 0); + EXPECT_EQ(r.lossless_admitted, 1); +} +TEST(ContractExamples, A_X8_Stretch_cost7) { + T1In in {{{0, 1, 0, 5}, {0, 1, 1, 7}}, v({0}), v({1}), 1, 1, 1}; + in.stretch = CostStretch(6, 5); + const auto r = t1(in); + EXPECT_EQ(r.status, (Texts {"COST_CEILING_EXCEEDED"})); + EXPECT_EQ(r.routes, (Routes {{}})); + EXPECT_EQ(r.up, 0); + EXPECT_EQ(r.lossy_delivery, 0); + EXPECT_EQ(r.source_drops, 1); + EXPECT_EQ(r.lossless_admitted, 0); +} +TEST(ContractExamples, A_X7_8) { expect_t1_base(t1({kX7, v({0}), v({3}), 8, 2}), {4, 4}, {{0, 2, 4}, {}}, 1, 4, {4, 0, 4, 0, 4}, 4); } +TEST(ContractExamples, A_X7_10) { expect_t1_base(t1({kX7, v({0}), v({3}), 10, 2}), {5, 5}, {{0, 3}, {1, 4}}, 2, 10, {5, 5, 0, 5, 5}, 12); } +TEST(ContractExamples, A_X7_14) { expect_t1_base(t1({kX7, v({0}), v({3}), 14, 2}), {7, 7}, {{}, {}}, 0, 0, {0, 0, 0, 0, 0}, 0); } +TEST(ContractExamples, T1_two_heads) { + const auto r = t1({{{0, 2, 2, 1}, {1, 2, 10, 1}}, v({0, 1}), v({2}), 12, 2, 12}); + expect_t1_base(r, {3, 3, 3, 3}, {{}, {1}, {}, {1}}, 2, 6, {0, 6}, 0); + EXPECT_EQ(r.status, (Texts {"INSUFFICIENT_BANDWIDTH", "UP", "INSUFFICIENT_BANDWIDTH", "UP"})); + expect_t1_offer(r, {0, 3, 0, 3}, 6, {0, 6}); + EXPECT_EQ(r.lossy_delivery, 6); +} +TEST(ContractExamples, T1_idle) { + const auto r = t1({{{0, 1, 10, 1}}, v({0}), v({1}), 3, 4, 3}); + expect_t1_base(r, {1, 1, 1, 0}, {{0}, {0}, {0}, {0}}, 4, 3, {3}, 10); + expect_t1_offer(r, {1, 1, 1, 0}, 0, {3}); + EXPECT_EQ(r.lossy_delivery, 3); +} +TEST(ContractExamples, T1_idle_zero_link) { + const auto r = t1({{{0, 1, 0, 1}, {0, 1, 10, 2}}, v({0}), v({1}), 1, 2, 2}); + expect_t1_base(r, {1, 0}, {{1}, {0}}, 2, 1, {0, 1}, 1); + EXPECT_EQ(r.status, (Texts {"UP", "UP"})); + expect_t1_offer(r, {1, 1}, 0, {1, 1}); + EXPECT_EQ(r.lossy_delivery, 1); +} +TEST(ContractExamples, T1_zero_design) { + const auto r = t1({{{0, 1, 10, 1}}, v({0}), v({1}), 0, 2, 4}); + expect_t1_base(r, {0, 0}, {{0}, {0}}, 2, 0, {0}, 10); + expect_t1_offer(r, {2, 2}, 0, {4}); + EXPECT_EQ(r.lossy_delivery, 4); +} +TEST(ContractExamples, T1_stretch_below_one) { + T1In in {{{0, 1, 10, 5}}, v({0}), v({1}), 1, 1, 1}; + in.stretch = CostStretch(1, 2); + EXPECT_EQ(t1(in).error, "cost_ceiling CostStretch factor must be >= 1 (got 1/2)"); +} +// Two heads with two tunnels each, design 5: RR(5, 2) = (3, 2) per head, then per tunnel in round +// order: (2, 1) for head 0's rounds and (1, 1) for head 1's. +TEST(ContractExamples, T1_split) { + const auto r = t1({fan(2, 100), v({0, 1}), v({2}), 5, 2}); + EXPECT_EQ(r.requested, (Amounts {2, 1, 1, 1})); +} + +// ================================================================ T2 + +void expect_t2_core(const T2Out& r, Amount U, const Ints& counts, std::pair fluid, Amount max_lossless) { + EXPECT_EQ(r.plan.max_bandwidth_per_tunnel, U); + EXPECT_EQ(r.counts, counts); + EXPECT_EQ(r.plan.max_fractional_bandwidth_per_tunnel, fluid); + EXPECT_EQ(r.plan.max_lossless_offer, max_lossless); +} +Routes repeat(const Routes& parts, const std::vector& times) { + Routes out; + for (std::size_t i = 0; i < parts.size(); ++i) { + for (int t = 0; t < times[i]; ++t) out.push_back(parts[i]); + } + return out; +} + +TEST(ContractExamples, C_G1) { + T2In in {kG1, v({0}), v({3}), 16, 49152}; + in.prefer_headroom = true; + in.lossy_offer = 49152; + const auto r = t2(in); + expect_t2_core(r, 2925, {2, 14, 2, 14}, fraction(20480, 7), 46812); + EXPECT_EQ(r.lossy_delivery, 47104); + EXPECT_EQ(r.paths, repeat({{0, 2}, {1, 3}}, {2, 14})); + EXPECT_EQ(r.plan.headroom_penalty, c128(73610035200)); + EXPECT_EQ(r.plan.total_planned_bandwidth, 46800); + EXPECT_EQ(r.plan.total_tunnel_cost, c128(32)); + EXPECT_EQ(r.plan.planned_bandwidth_per_tunnel, 2925); +} +TEST(ContractExamples, C_G1_finite) { + T2In in {kG1, v({0}), v({3}), 16, 8192}; + in.prefer_headroom = true; + const auto r = t2(in); + expect_t2_core(r, 2925, {2, 14, 2, 14}, fraction(20480, 7), 46812); + EXPECT_EQ(r.paths, repeat({{0, 2}, {1, 3}}, {2, 14})); + EXPECT_EQ(r.plan.headroom_penalty, c128(12884901876)); + EXPECT_EQ(r.plan.total_planned_bandwidth, 8192); + EXPECT_EQ(r.plan.total_tunnel_cost, c128(32)); + EXPECT_EQ(r.plan.planned_bandwidth_per_tunnel, 512); +} +TEST(ContractExamples, C_G4) { + std::vector e; + for (NodeId i = 1; i <= 15; ++i) e.push_back({0, i, 4096, 1}); + for (NodeId i = 1; i <= 15; ++i) e.push_back({i, 16, 4096, 1}); + T2In in {e, v({0}), v({16}), 16, 61440}; + in.prefer_headroom = true; + in.lossy_offer = 61440; + const auto r = t2(in); + Ints counts(30, 1); + counts[0] = 2; + counts[15] = 2; + expect_t2_core(r, 2048, counts, fraction(2048), 32768); + EXPECT_EQ(r.plan.planned_bandwidth_per_tunnel, 2048); + Routes paths = {{0, 15}, {0, 15}}; + for (std::int64_t i = 1; i < 15; ++i) paths.push_back({i, 15 + i}); + EXPECT_EQ(r.paths, paths); + EXPECT_EQ(r.lossy_delivery, 57856); + EXPECT_EQ(r.plan.headroom_penalty, c128(73014444032)); + EXPECT_EQ(r.plan.total_planned_bandwidth, 32768); + EXPECT_EQ(r.plan.total_tunnel_cost, c128(32)); +} +TEST(ContractExamples, C_equal) { + T2In in {{{0, 2, 3, 1}, {1, 2, 8, 1}}, v({0, 1}), v({2}), 2, 6}; + in.prefer_headroom = true; + const auto r = t2(in); + expect_t2_core(r, 1, {2, 2}, fraction(3, 2), 6); + EXPECT_EQ(r.paths, (Routes {{0}, {1}, {0}, {1}})); + EXPECT_EQ(r.plan.headroom_penalty, c128(5905580031)); + EXPECT_EQ(r.plan.total_planned_bandwidth, 4); + EXPECT_EQ(r.plan.total_tunnel_cost, c128(4)); + EXPECT_EQ(r.plan.planned_bandwidth_per_tunnel, 1); +} +TEST(ContractExamples, C_finite_cost) { + T2In in {{{0, 1, 2, 1}, {0, 1, 10, 2}}, v({0}), v({1}), 2, 2}; + in.prefer_headroom = true; + const auto r = t2(in); + expect_t2_core(r, 5, {2, 0}, fraction(5), 2); + EXPECT_EQ(r.paths, (Routes {{0}, {0}})); + EXPECT_EQ(r.plan.headroom_penalty, c128(6442450944)); + EXPECT_EQ(r.plan.total_planned_bandwidth, 2); + EXPECT_EQ(r.plan.total_tunnel_cost, c128(2)); + EXPECT_EQ(r.plan.planned_bandwidth_per_tunnel, 1); +} +TEST(ContractExamples, C_G10_0) { + T2In in {kG10, v({0}), v({3}), 16, 49152}; + in.prefer_headroom = true; + in.cap = Amounts {40960, 40960, 24576, 40960, 40960, 16384, 40960, 40960, 20480, 40960, 40960, 24576, 40960, 40960, 16384, 40960, 40960, 20480}; + const auto r = t2(in); + expect_t2_core(r, 6144, {4, 4, 8, 0, 4, 0, 0, 4, 0, 0, 0, 0, 4, 0, 0, 0, 4, 0}, fraction(6144), 49160); + EXPECT_EQ(r.paths, repeat({{0, 4, 7}, {1, 16, 12}, {2}}, {4, 4, 8})); + EXPECT_EQ(r.plan.headroom_penalty, c128(38654705652)); + EXPECT_EQ(r.plan.total_planned_bandwidth, 49152); + EXPECT_EQ(r.plan.total_tunnel_cost, c128(40)); + EXPECT_EQ(r.plan.planned_bandwidth_per_tunnel, 3072); +} +TEST(ContractExamples, C_G10_1) { + T2In in {kG10, v({1}), v({4}), 16, 49152}; + in.prefer_headroom = true; + in.cap = Amounts {28672, 28672, 0, 40960, 28672, 16384, 40960, 28672, 20480, 40960, 40960, 24576, 28672, 40960, 16384, 40960, 28672, 20480}; + const auto r = t2(in); + expect_t2_core(r, 4096, {0, 6, 0, 6, 5, 5, 0, 5, 0, 0, 5, 0, 0, 0, 0, 0, 6, 0}, fraction(4096), 52431); + EXPECT_EQ(r.paths, repeat({{3, 1, 16}, {4, 7, 10}, {5}}, {6, 5, 5})); + EXPECT_EQ(r.plan.total_planned_bandwidth, 49152); + EXPECT_EQ(r.plan.total_tunnel_cost, c128(43)); + EXPECT_EQ(r.plan.planned_bandwidth_per_tunnel, 3072); +} +TEST(ContractExamples, C_G10_2) { + T2In in {kG10, v({2}), v({5}), 16, 49152}; + in.prefer_headroom = true; + in.cap = Amounts {28672, 10240, 0, 22528, 13312, 1024, 40960, 13312, 20480, 40960, 25600, 24576, 28672, 40960, 16384, 40960, 10240, 20480}; + const auto r = t2(in); + expect_t2_core(r, 2560, {0, 4, 0, 4, 0, 0, 4, 4, 8, 0, 4, 0, 0, 4, 0, 0, 0, 0}, fraction(2560), 40960); + EXPECT_EQ(r.paths, repeat({{6, 3, 1}, {7, 10, 13}, {8}}, {4, 4, 8})); + EXPECT_EQ(r.plan.total_planned_bandwidth, 40960); + EXPECT_EQ(r.plan.total_tunnel_cost, c128(40)); + EXPECT_EQ(r.plan.planned_bandwidth_per_tunnel, 2560); +} +// The plan's alg-internal supply budget (21) is no public field; every public one is checked. +TEST(ContractExamples, T2_dead_head) { + T2In in {{{0, 2, 0, 1}, {1, 2, 10, 1}}, v({0, 1}), v({2}), 2, 10}; + in.prefer_headroom = true; + in.lossy_offer = 10; + const auto r = t2(in); + EXPECT_EQ(r.entry_ids, (std::vector {1, 3})); + EXPECT_EQ(r.plan.design_by_head, (std::vector> {{0, 5}, {1, 5}})); + EXPECT_EQ(r.plan.heads_with_capacity, std::optional>(v({1}))); + expect_t2_core(r, 5, {0, 2}, fraction(5), 0); + EXPECT_EQ(r.plan.planned_bandwidth_per_tunnel, 3); + EXPECT_EQ(r.paths, (Routes {{1}, {1}})); + EXPECT_EQ(r.plan.total_planned_bandwidth, 6); + EXPECT_EQ(r.plan.total_tunnel_cost, c128(2)); + EXPECT_EQ(r.plan.headroom_penalty, c128(3865470565)); + EXPECT_EQ(r.lossy_delivery, 5); + EXPECT_EQ(r.lossy_source_drops, 5); +} +TEST(ContractExamples, T2_two_heads_equal) { + T2In in {{{0, 2, 2, 1}, {1, 2, 10, 1}}, v({0, 1}), v({2}), 2}; + in.prefer_headroom = true; + const auto r = t2(in); + EXPECT_EQ(r.entry_ids, (std::vector {0, 1, 2, 3})); + EXPECT_TRUE(r.plan.design_by_head.empty()); + expect_t2_core(r, 1, {2, 2}, fraction(1), 4); + EXPECT_EQ(r.plan.planned_bandwidth_per_tunnel, 1); + EXPECT_EQ(r.paths, (Routes {{0}, {1}, {0}, {1}})); + EXPECT_EQ(r.plan.total_planned_bandwidth, 4); + EXPECT_EQ(r.plan.total_tunnel_cost, c128(4)); + EXPECT_EQ(r.plan.headroom_penalty, c128(7730941132)); +} +TEST(ContractExamples, T2_idle) { + T2In in {{{0, 1, 10, 1}}, v({0}), v({1}), 4, 3}; + in.prefer_headroom = true; + in.lossy_offer = 3; + const auto r = t2(in); + expect_t2_core(r, 2, {4}, fraction(5, 2), 10); + EXPECT_EQ(r.plan.planned_bandwidth_per_tunnel, 1); + EXPECT_EQ(r.plan.total_planned_bandwidth, 4); + EXPECT_EQ(r.plan.headroom_penalty, c128(4294967294)); + EXPECT_EQ(r.lossy_delivery, 3); +} +TEST(ContractExamples, T2_zero_design) { + T2In in {{{0, 1, 10, 1}}, v({0}), v({1}), 2, 0}; + in.prefer_headroom = true; + in.lossy_offer = 4; + const auto r = t2(in); + expect_t2_core(r, 5, {2}, fraction(5), 10); + EXPECT_EQ(r.plan.planned_bandwidth_per_tunnel, 1); + EXPECT_EQ(r.plan.total_planned_bandwidth, 2); + EXPECT_EQ(r.lossy_delivery, 4); +} +TEST(ContractExamples, T2_remainder_first) { + T2In in {{{0, 1, 3, 1}, {0, 1, 2, 1}}, v({0}), v({1}), 2, 5}; + in.prefer_headroom = true; + const auto r = t2(in); + expect_t2_core(r, 2, {1, 1}, fraction(2), 5); + EXPECT_EQ(r.plan.planned_bandwidth_per_tunnel, 2); + EXPECT_EQ(r.paths, (Routes {{0}, {1}})); + EXPECT_EQ(r.plan.total_planned_bandwidth, 4); +} +TEST(ContractExamples, T2_remainder_second) { + T2In in {{{0, 1, 2, 1}, {0, 1, 3, 1}}, v({0}), v({1}), 2, 5}; + in.prefer_headroom = true; + const auto r = t2(in); + expect_t2_core(r, 2, {1, 1}, fraction(2), 4); + EXPECT_EQ(r.plan.planned_bandwidth_per_tunnel, 2); + EXPECT_EQ(r.paths, (Routes {{0}, {1}})); + EXPECT_EQ(r.plan.total_planned_bandwidth, 4); +} +TEST(ContractExamples, T2_tiny_head) { + T2In in {{{0, 2, 1, 1}, {1, 2, 100, 1}}, v({0, 1}), v({2}), 16}; + in.prefer_headroom = true; + const auto r = t2(in); + EXPECT_EQ(r.plan.heads_with_capacity, std::optional>(v({0, 1}))); + expect_t2_core(r, 0, {0, 0}, fraction(1, 16), 0); + EXPECT_TRUE(r.paths.empty()); + EXPECT_EQ(r.plan.insufficient_resolution, std::optional(true)); +} +TEST(ContractExamples, T2_prefer_headroom_off) { + T2In in {{{0, 1, 10, 1}, {0, 1, 10, 1}}, v({0}), v({1}), 2, 2}; + in.lossy_offer = 12; + const auto r = t2(in); + EXPECT_EQ(r.plan.max_bandwidth_per_tunnel, 10); + EXPECT_EQ(r.plan.planned_bandwidth_per_tunnel, 1); + EXPECT_EQ(r.counts, (Ints {2, 0})); + EXPECT_EQ(r.plan.max_lossless_offer, 10); + EXPECT_EQ(r.lossy_delivery, 10); +} +TEST(ContractExamples, T2_prefer_headroom_on) { + T2In in {{{0, 1, 10, 1}, {0, 1, 10, 1}}, v({0}), v({1}), 2, 2}; + in.prefer_headroom = true; + in.lossy_offer = 12; + const auto r = t2(in); + EXPECT_EQ(r.plan.max_bandwidth_per_tunnel, 10); + EXPECT_EQ(r.plan.planned_bandwidth_per_tunnel, 1); + EXPECT_EQ(r.counts, (Ints {1, 1})); + EXPECT_EQ(r.plan.headroom_penalty, c128(858993458)); + EXPECT_EQ(r.plan.max_lossless_offer, 20); + EXPECT_EQ(r.lossy_delivery, 12); +} +TEST(ContractExamples, T2_support) { + T2In in {kSup, v({0}), v({1}), 2}; + in.support = Ints {0, 1}; + const auto r = t2(in); + EXPECT_EQ(r.plan.max_bandwidth_per_tunnel, 6); + EXPECT_EQ(r.counts, (Ints {1, 1, 0})); + EXPECT_EQ(r.plan.max_lossless_offer, 12); +} +TEST(ContractExamples, T2_support_masked) { + T2In in {kSup, v({0}), v({1}), 2}; + in.support = Ints {0, 1}; + in.excluded = {1}; + const auto r = t2(in); + EXPECT_EQ(r.plan.max_bandwidth_per_tunnel, 3); + EXPECT_EQ(r.counts, (Ints {2, 0, 0})); + EXPECT_EQ(r.paths, (Routes {{0}, {0}})); + EXPECT_EQ(r.entry_ids, (std::vector {0, 1})); + EXPECT_EQ(r.plan.max_lossless_offer, 6); +} +TEST(ContractExamples, T2_support_mask_outside) { + T2In in {kSup, v({0}), v({1}), 2}; + in.support = Ints {0, 1}; + in.excluded = {2}; + const auto r = t2(in); + EXPECT_EQ(r.plan.max_bandwidth_per_tunnel, 6); + EXPECT_EQ(r.counts, (Ints {1, 1, 0})); + EXPECT_EQ(r.paths, (Routes {{0}, {1}})); + EXPECT_EQ(r.entry_ids, (std::vector {0, 1})); + EXPECT_EQ(r.plan.max_lossless_offer, 12); +} + +// "Up to L": the chosen count, the delivery of the design (the bound without one) and the paths. +// Each count's bound is the lossless maximum of that count's program (every head live here). +std::vector upto_bounds(const T2In& base, std::int64_t limit) { + std::vector out; + for (std::int64_t k = 1; k <= limit; ++k) { + T2In in = base; + in.per_head = k; + in.up_to = false; + T2In unlimited = in; + unlimited.design_demand = std::nullopt; + out.push_back(*t2(unlimited).plan.max_lossless_offer); + } + return out; +} +TEST(ContractExamples, C_G1_UP_TO) { + T2In in {kG1, v({0}), v({3}), 6, 49152}; + in.prefer_headroom = true; + in.up_to = true; + const auto r = t2(in); + EXPECT_EQ(r.plan.tunnels_per_head, 6); + EXPECT_EQ(r.delivered, 49152); + EXPECT_EQ(upto_bounds(in, 6), (Amounts {40960, 40960, 40960, 40960, 40960, 49152})); // = the scores (design above) +} +TEST(ContractExamples, T2_UP_TO_common) { + T2In in {{{0, 3, 6, 1}, {1, 3, 3, 1}, {1, 3, 3, 1}}, v({0, 1}), v({3}), 2, 12}; + in.prefer_headroom = true; + in.up_to = true; + const auto r = t2(in); + EXPECT_EQ(r.plan.tunnels_per_head, 2); + EXPECT_EQ(r.delivered, 12); + EXPECT_EQ(r.paths, (Routes {{0}, {1}, {0}, {2}})); + EXPECT_EQ(upto_bounds(in, 2), (Amounts {7, 12})); // = the scores (design 12) +} +// With a dead head the count-selection scores (its supply budget 21 and live share 5) are internal; +// the public outcome: one tunnel per head, delivery 0 (the dead head's share blocks), path [1]. +TEST(ContractExamples, T2_UP_TO_dead_head) { + T2In in {{{0, 2, 0, 1}, {1, 2, 10, 1}}, v({0, 1}), v({2}), 2, 10}; + in.prefer_headroom = true; + in.up_to = true; + const auto r = t2(in); + EXPECT_EQ(r.plan.tunnels_per_head, 1); + EXPECT_EQ(r.delivered, 0); + EXPECT_EQ(r.paths, (Routes {{1}})); +} +TEST(ContractExamples, T2_tiny_head_UP_TO) { + T2In in {{{0, 2, 1, 1}, {1, 2, 100, 1}}, v({0, 1}), v({2}), 3}; + in.prefer_headroom = true; + in.up_to = true; + const auto r = t2(in); + EXPECT_EQ(r.plan.tunnels_per_head, 1); + EXPECT_EQ(r.delivered, 2); + EXPECT_EQ(r.paths, (Routes {{0}, {1}})); + EXPECT_EQ(upto_bounds(in, 3), (Amounts {2, 0, 0})); // = the scores (no design) +} + +// ================================================================ programs + +TEST(ContractExamples, E_duplicates) { EXPECT_EQ(bound({4, 8}, {{0}, {1}, {1}}, {1, 1, 1}), 12); } +TEST(ContractExamples, E_deduplicated) { EXPECT_EQ(bound({4, 8}, {{0}, {1}}, {1, 1}), 8); } +TEST(ContractExamples, E_static_path_fill) { EXPECT_EQ(bound({6, 4}, {{0}, {1}}, {1, 1}), 9); } +TEST(ContractExamples, E_zero_first) { EXPECT_EQ(bound({0, 4}, {{0}, {1}}, {1, 1}), 0); } +TEST(ContractExamples, E_zero_last) { EXPECT_EQ(bound({4, 0}, {{0}, {1}}, {1, 1}), 1); } +TEST(ContractExamples, E_support_pinned_bound) { EXPECT_EQ(bound({10, 2, 10, 10}, {{0, 1}, {2, 3}}, {1, 1}), 4); } + +// One head, two links of capacity 1 to the destination, two equal split routes over both: separate +// contexts each put their share on the first link; pooled (from_dag) they split once. +std::pair split_contexts(bool pool) { + const Net n({{0, 1, 1, 1}, {0, 1, 1, 1}}); + const NodeId t[1] = {1}; + std::shared_ptr prog; + if (pool) { + prog = ForwardingProgram::from_dag(*n.g, v({0}), t, n.dag({0, 1})); + } else { + const std::vector defs = {RouteDefinition {0, n.dag({0, 1}), 1}, RouteDefinition {0, n.dag({0, 1}), 1}}; + prog = ForwardingProgram::from_routes(*n.g, v({0}), t, defs); + } + auto ll = policy(n, v({0}), v({1}), {.routing = Pinned {prog, nullptr}}); + auto ly = policy(n, v({0}), v({1}), {.routing = Pinned {prog, nullptr}, .admission = LY}); + const auto r = ly->place(2, kFlows); + Amounts loads = n.in_order(*r.edge_flows); + const Amounts drops = n.per_edge(r.call_edge_drops); + for (std::size_t e = 0; e < loads.size(); ++e) loads[e] += drops[e]; + return {ll->place(std::nullopt).call_delivered, loads}; +} +TEST(ContractExamples, E_split_contexts) { EXPECT_EQ(split_contexts(false), (std::pair {1, {2, 0}})); } +TEST(ContractExamples, E_split_contexts_pooled) { EXPECT_EQ(split_contexts(true), (std::pair {2, {1, 1}})); } + +std::pair dag_contexts(bool pooled, Amount offer) { + const Net n(kDP); + const NodeId t[1] = {3}; + std::shared_ptr prog; + if (pooled) { + prog = ForwardingProgram::from_dag(*n.g, v({0, 1}), t, n.dag({0, 1, 2, 3})); + } else { + const std::vector defs = {RouteDefinition {0, n.dag({0, 1, 2, 3}), 1}, RouteDefinition {1, n.dag({0, 1, 2, 3}), 1}}; + prog = ForwardingProgram::from_routes(*n.g, v({0, 1}), t, defs); + } + auto ll = policy(n, v({0, 1}), v({3}), {.routing = Pinned {prog, nullptr}}); + auto ly = policy(n, v({0, 1}), v({3}), {.routing = Pinned {prog, nullptr}, .admission = LY}); + return {ll->place(std::nullopt).call_delivered, ly->place(offer).call_delivered}; +} +TEST(ContractExamples, DAG_pooled) { EXPECT_EQ(dag_contexts(true, 2), (std::pair {2, 2})); } +TEST(ContractExamples, DAG_separate) { EXPECT_EQ(dag_contexts(false, 2), (std::pair {1, 1})); } + +// ================================================================ stale forwarding and repair + +const std::vector kDiamond100 = {{0, 1, 100, 1}, {0, 2, 100, 1}, {1, 3, 100, 1}, {2, 3, 100, 1}}; +std::vector> ones(std::size_t k) { return std::vector>(k, Amount {1}); } + +void expect_stale(const StaleOut& r, Amount delivered, const Amounts& flows, const Amounts& drops, std::optional source = std::nullopt) { + EXPECT_EQ(r.delivered, delivered); + EXPECT_EQ(r.edge_flows, flows); + EXPECT_EQ(r.edge_drops, drops); + if (source.has_value()) EXPECT_EQ(r.source_drops, *source); +} +TEST(ContractExamples, STALE_remote_tail) { + StaleIn in {kDiamond100, v({0}), 3, 100, ones(4)}; + in.black_links = {3}; + expect_stale(stale_dag(in), 50, {50, 50, 50, 0}, {0, 0, 0, 50}); +} +TEST(ContractExamples, STALE_remote_tail_repair) { + StaleIn in {kDiamond100, v({0}), 3, 100, ones(4)}; + in.mask_links = {3}; + expect_stale(stale_dag(in), 100, {100, 0, 100, 0}, {0, 0, 0, 0}); +} +TEST(ContractExamples, STALE_wcmp_member) { + StaleIn in {{{0, 1, 10, 1}, {0, 1, 40, 1}}, v({0}), 1, 40, {Amount {10}, Amount {40}}}; + in.black_links = {0}; + expect_stale(stale_dag(in), 32, {0, 32}, {8, 0}); +} +TEST(ContractExamples, STALE_wcmp_zero_capacity) { + const StaleIn in {{{0, 1, 0, 1}, {0, 1, 40, 1}}, v({0}), 1, 40, {Amount {0}, Amount {40}}}; + expect_stale(stale_dag(in), 40, {0, 40}, {0, 0}); +} +TEST(ContractExamples, STALE_pooled_original) { + const StaleIn in {{{0, 2, 10, 1}, {1, 2, 10, 1}, {2, 3, 10, 1}, {2, 3, 10, 1}}, v({0, 1}), 3, 2, ones(4)}; + expect_stale(stale_dag(in), 2, {1, 1, 1, 1}, {0, 0, 0, 0}, 0); +} +TEST(ContractExamples, STALE_pooled_remainder) { + StaleIn in {{{0, 2, 10, 1}, {1, 2, 10, 1}, {2, 3, 10, 1}, {2, 3, 10, 1}}, v({0, 1}), 3, 2, ones(4)}; + in.black_links = {0, 3}; + expect_stale(stale_dag(in), 1, {0, 1, 1, 0}, {1, 0, 0, 0}, 0); +} +TEST(ContractExamples, STALE_all_zero_weight) { + const StaleIn in {{{0, 1, 0, 1}}, v({0}), 1, 2, {Amount {0}}}; + expect_stale(stale_dag(in), 0, {0}, {0}, 2); +} +TEST(ContractExamples, STALE_black_source) { + StaleIn in {{{0, 1, 10, 1}}, v({0}), 1, 10, ones(1)}; + in.black_nodes = {0}; + expect_stale(stale_dag(in), 0, {0}, {0}, 10); +} + +TEST(ContractExamples, STALE_relief) { + StalePathsIn in {{{0, 2, 10, 1}, {1, 2, 10, 1}, {2, 3, 10, 1}}, {{0, {0, 2}}, {1, {1, 2}}}, {{0, 10}, {1, 10}}}; + in.black_links = {0}; + const auto r = stale_paths(in); + EXPECT_EQ(r.status, (Texts {"BLACKHOLED", "UP"})); + EXPECT_EQ(r.delivered, (Amounts {0, 10})); + EXPECT_EQ(r.edge_drops, (Amounts {10, 0, 0})); +} +TEST(ContractExamples, STALE_relief_original) { + const StalePathsIn in {{{0, 2, 10, 1}, {1, 2, 10, 1}, {2, 3, 10, 1}}, {{0, {0, 2}}, {1, {1, 2}}}, {{0, 10}, {1, 10}}}; + const auto r = stale_paths(in); + EXPECT_EQ(r.status, (Texts {"UP", "UP"})); + EXPECT_EQ(r.delivered, (Amounts {5, 5})); + EXPECT_EQ(r.edge_drops, (Amounts {0, 0, 10})); +} +const std::vector kDiamond10 = {{0, 1, 10, 1}, {0, 2, 10, 1}, {1, 3, 10, 1}, {2, 3, 10, 1}}; +TEST(ContractExamples, STALE_tunnel_node) { + StalePathsIn in {kDiamond10, {{0, {0, 2}}, {0, {1, 3}}}, {{0, 10}}}; + in.black_nodes = {2}; + const auto r = stale_paths(in); + EXPECT_EQ(r.status, (Texts {"UP", "BLACKHOLED"})); + EXPECT_EQ(r.assigned, (Amounts {5, 5})); + EXPECT_EQ(r.delivered, (Amounts {5, 0})); + EXPECT_EQ(r.edge_drops, (Amounts {0, 5, 0, 0})); + EXPECT_EQ(r.lossless_admitted, std::optional(1)); +} +TEST(ContractExamples, STALE_tunnel_node_repair) { + StalePathsIn in {kDiamond10, {{0, {0, 2}}, {0, {1, 3}}}, {{0, 10}}}; + in.mask_nodes = {2}; + const auto r = stale_paths(in); + EXPECT_EQ(r.status, (Texts {"UP", "FAILED"})); + EXPECT_EQ(r.assigned, (Amounts {10, 0})); + EXPECT_EQ(r.delivered, (Amounts {10, 0})); + EXPECT_EQ(r.edge_drops, (Amounts {0, 0, 0, 0})); + EXPECT_EQ(r.lossless_admitted, std::optional(10)); +} +TEST(ContractExamples, STALE_black_source_tunnel) { + StalePathsIn in {{{0, 1, 10, 1}}, {{0, {0}}}, {{0, 10}}}; + in.black_nodes = {0}; + const auto r = stale_paths(in); + EXPECT_EQ(r.status, (Texts {"BLACKHOLED"})); + EXPECT_EQ(r.assigned, (Amounts {0})); + EXPECT_EQ(r.delivered, (Amounts {0})); + EXPECT_EQ(r.source_drops, 10); + EXPECT_EQ(r.edge_drops, (Amounts {0})); +} +TEST(ContractExamples, STALE_mask_and_black_hole) { + StalePathsIn in {{{0, 1, 10, 1}, {0, 2, 10, 1}, {0, 3, 10, 1}, {1, 4, 10, 1}, {2, 4, 10, 1}, {3, 4, 10, 1}}, + {{0, {0, 3}}, {0, {1, 4}}, {0, {2, 5}}}, + {{0, 10}}}; + in.mask_links = {3}; + in.black_links = {3, 4}; + const auto r = stale_paths(in); + EXPECT_EQ(r.status, (Texts {"FAILED", "BLACKHOLED", "UP"})); + EXPECT_EQ(r.assigned, (Amounts {0, 5, 5})); + EXPECT_EQ(r.delivered, (Amounts {0, 0, 5})); + EXPECT_EQ(r.edge_drops, (Amounts {0, 0, 0, 0, 5, 0})); + EXPECT_EQ(r.source_drops, 0); +} + +// ================================================================ the Lossy loss rule + +void expect_lossy(const LossyOut& r, const Routes& carried, const std::optional& drops, const Amounts& delivered, + const Amounts& flows) { + EXPECT_EQ(r.error, ""); + EXPECT_EQ(r.carried, carried); + if (drops.has_value()) EXPECT_EQ(r.edge_drops, *drops); + EXPECT_EQ(r.delivered, delivered); + EXPECT_EQ(r.edge_flows, flows); +} +TEST(ContractExamples, D_merge) { expect_lossy(lossy({8, 4}, {{0}, {0}}, {9}), {{6}, {3}}, Routes {{2}, {1}}, {6, 3}, {9}); } +TEST(ContractExamples, D_key_tie) { expect_lossy(lossy({1, 1}, {{0}, {0}}, {1}), {{1}, {0}}, Routes {{0}, {1}}, {1, 0}, {1}); } +TEST(ContractExamples, D_rounding) { + expect_lossy(lossy({5, 1, 1}, {{0}, {0}, {0}}, {3}), {{3}, {0}, {0}}, Routes {{2}, {1}, {1}}, {3, 0, 0}, {3}); +} +// Demand 0 (routes 0 and 1) and demand 1 (route 2): the demand level is the head level here (two +// heads offered 2 each), the route level below it. +TEST(ContractExamples, D_hierarchy) { + expect_lossy(lossy({1, 1, 2}, {{0}, {0}, {0}}, {1}, {0, 0, 1}), {{1}, {0}, {0}}, Routes {{0}, {1}, {2}}, {1, 0, 0}, {1}); +} +TEST(ContractExamples, D_cycle_compressed) { + expect_lossy(lossy({1, 1}, {{0, 1}, {1, 0}}, {2, 2}), {{1, 1}, {1, 1}}, Routes {{0, 0}, {0, 0}}, {1, 1}, {2, 2}); +} +TEST(ContractExamples, D_zero_service) { expect_lossy(lossy({2}, {{0}}, {0}), {{0}}, Routes {{2}}, {0}, {0}); } +TEST(ContractExamples, D_subdivision_before) { + expect_lossy(lossy({1, 1, 1}, {{0, 1}, {0, 2}, {0, 3}}, {1, 1, 1, 1}), {{1, 1}, {0, 0}, {0, 0}}, std::nullopt, {1, 0, 0}, {1, 1, 0, 0}); +} +TEST(ContractExamples, D_subdivision_after) { + expect_lossy(lossy({1, 1, 1}, {{0, 1, 2}, {0, 3}, {0, 4}}, {1, 1, 1, 1, 1}), {{1, 1, 1}, {0, 0}, {0, 0}}, std::nullopt, {1, 0, 0}, + {1, 1, 1, 0, 0}); +} +TEST(ContractExamples, E_support_pinned_loss) { + expect_lossy(lossy({6, 6}, {{0, 1}, {2, 3}}, {10, 2, 10, 10}), {{6, 2}, {6, 6}}, Routes {{0, 4}, {0, 0}}, {2, 6}, {6, 2, 6, 6}); +} +// The forwarding's alternating state is an error (the round count it took is internal). +TEST(ContractExamples, D_C2) { + EXPECT_EQ(lossy({1, 2}, {{0, 1}, {1, 0}}, {1, 2}).error, "lossy forwarding iteration entered a period-2 cycle"); +} + +// ================================================================ ledger, epochs, increments + +// A T1 tunnel reserving 6 of a link of 10 and carrying 4: the ledger's four views; a replace from 4 +// to 2 has delivery delta -2. +TEST(ContractExamples, E_ledger) { + const Net n({{0, 1, 10, 1}}); + auto p = policy(n, v({0}), v({1}), {.routing = dte_with(1), .admission = LY}); + (void)p->replace(4, finite(6)); + EXPECT_EQ(p.ledger->carried(), (Amounts {4})); + EXPECT_EQ(p.ledger->residual(), (Amounts {6})); + EXPECT_EQ(p.ledger->reserved(), (Amounts {6})); + EXPECT_EQ(p.ledger->unreserved(), (Amounts {4})); + EXPECT_EQ(p->replace(2, finite(6)).delivery_delta, -2); +} + +void expect_epoch(const EpochOut& r, Amount requested, Amount delivered, Amount drops, const Amounts& flows, const Amounts& residual, + const Amounts& per_call) { + EXPECT_EQ(r.requested, requested); + EXPECT_EQ(r.delivered, delivered); + EXPECT_EQ(r.edge_drops, drops); + EXPECT_EQ(r.edge_flows, flows); + EXPECT_EQ(r.residual, residual); + EXPECT_EQ(r.per_call, per_call); +} +TEST(ContractExamples, RC02_increment) { expect_epoch(epoch({1, 1}, {1, 1}, false, LY), 2, 1, 1, {1, 0}, {0, 1}, {1, 0}); } +TEST(ContractExamples, RC02_increment_lossless) { expect_epoch(epoch({1, 1}, {1, 1}, false, LL), 2, 2, 0, {1, 1}, {0, 0}, {1, 1}); } +TEST(ContractExamples, RC02_full) { expect_epoch(epoch({1, 1}, {1, 1}, true, LY), 2, 2, 0, {1, 1}, {0, 0}, {2}); } + +TEST(ContractExamples, INC_lossless) { + const auto r = increments({1, 3}, {3, 1}, LL); + EXPECT_EQ(r.call_delivered, (Amounts {2, 0})); + EXPECT_EQ(r.requested, 4); + EXPECT_EQ(r.admitted, std::optional(2)); + EXPECT_EQ(r.unadmitted, std::optional(2)); + EXPECT_EQ(r.offered, std::nullopt); + EXPECT_EQ(r.delivered, 2); +} +TEST(ContractExamples, INC_lossy) { + const auto r = increments({1, 3}, {3, 1}, LY); + EXPECT_EQ(r.call_delivered, (Amounts {2, 1})); + EXPECT_EQ(r.requested, 4); + EXPECT_EQ(r.offered, std::optional(4)); + EXPECT_EQ(r.edge_drops, (Amounts {1, 0})); + EXPECT_EQ(r.unadmitted, std::optional(0)); + EXPECT_EQ(r.delivered, 3); +} +TEST(ContractExamples, INC_lossless_refusal) { + const auto r = increments({10}, {5, 1}, LL, {{8}, {5}}); + EXPECT_EQ(r.call_delivered, (Amounts {2, 1})); + EXPECT_EQ(r.requested, 6); + EXPECT_EQ(r.admitted, std::optional(3)); + EXPECT_EQ(r.unadmitted, std::optional(3)); + EXPECT_EQ(r.delivered, 3); +} +// The delivery after each call: a refused unit is not offered again (2 then 3), not 2 then 5. +TEST(ContractExamples, R4_refusal) { + const auto r = increments({10}, {5, 1}, LL, {{8}, {5}}); + const Amounts correct = {r.call_delivered[0], r.call_delivered[0] + r.call_delivered[1]}; + EXPECT_EQ(correct, (Amounts {2, 3})); + EXPECT_NE(correct, (Amounts {2, 5})); +} + +// place(0) on a new policy: nothing prepared, nothing changed; the residual is the service baseline +// less the other owners' loads (1 and 2). +TEST(ContractExamples, RC02_zero_unprepared) { + const Net n({{0, 1, 5, 1}, {0, 1, 8, 1}}); + auto ledger = std::make_shared(n.g, n.by_id({5, 8})); + const NodeId s[1] = {0}; + const NodeId t[1] = {1}; + const std::vector defs = {RouteDefinition {0, n.path({0}), 1}, RouteDefinition {0, n.path({1}), 2}}; + auto other = policy(n, v({0}), v({1}), {.routing = Pinned {ForwardingProgram::from_routes(*n.g, s, t, defs), nullptr}, .admission = LY}, + nullptr, ledger); + (void)other->place(3); + ASSERT_EQ(n.in_order(ledger->carried()), (Amounts {1, 2})); + auto p = policy(n, v({0}), v({1}), {.routing = ShortestPaths {}}, nullptr, ledger); + const auto r = p->place(0, OutputOptions {.edge_flows = true, .residual = true, .min_cut = true, .edge_reservations = true}); + EXPECT_EQ(r.call_delivered, 0); + EXPECT_EQ(r.call_undelivered, std::optional(0)); + EXPECT_EQ(r.delivery_delta, 0); + EXPECT_TRUE(r.call_edge_drops.empty()); + EXPECT_EQ(r.call_source_drops, 0); + EXPECT_EQ(r.termination, Termination::Complete); + EXPECT_FALSE(r.routes_changed || r.weights_changed || r.reservations_changed); + EXPECT_EQ(r.program, nullptr); + EXPECT_EQ(n.in_order(*r.edge_flows), (Amounts {0, 0})); + EXPECT_EQ(n.in_order(*r.edge_reservations), (Amounts {0, 0})); + EXPECT_EQ(n.in_order(*r.residual), (Amounts {4, 6})); + EXPECT_EQ(r.min_cut, std::nullopt); + EXPECT_EQ(r.marginal_cost_curve, std::nullopt); +} + +// The change flags of the second and third calls on a one-path program (path capacity 20): a +// controller re-solving changes its path's weight; a fixed program (Pinned) changes nothing. +TEST(ContractExamples, FLAGS_controller_increment) { + const Net n({{0, 1, 20, 1}}); + auto p = policy(n, v({0}), v({1}), {.routing = centralized()}); + (void)p->place(5); + const auto b = p->place(5); + const auto c = p->replace(10); + EXPECT_EQ((std::vector {b.routes_changed, c.routes_changed}), (std::vector {false, false})); + EXPECT_EQ((std::vector {b.weights_changed, c.weights_changed}), (std::vector {true, false})); + EXPECT_EQ((std::vector {b.reservations_changed, c.reservations_changed}), (std::vector {false, false})); +} +TEST(ContractExamples, FLAGS_fixed_offer) { + const Net n({{0, 1, 20, 1}}); + const NodeId s[1] = {0}; + const NodeId t[1] = {1}; + const std::vector defs = {RouteDefinition {0, n.path({0}), 1}}; + auto p = policy(n, v({0}), v({1}), {.routing = Pinned {ForwardingProgram::from_routes(*n.g, s, t, defs), nullptr}}); + (void)p->replace(5); + for (int i = 0; i < 2; ++i) { + const auto r = p->replace(10); + EXPECT_FALSE(r.routes_changed || r.weights_changed || r.reservations_changed); + } +} + +// ================================================================ terminations + +TEST(ContractExamples, TERM_T1_all_down) { + const Net n(kX7); + const auto r = termination(n, v({0}), v({3}), dte_with(2), 14, finite(14)); + EXPECT_EQ(r.tunnels, 2U); + EXPECT_EQ(r.lossy, "COMPLETE"); + EXPECT_EQ(r.lossless, "EXHAUSTED"); + EXPECT_EQ(r.source_drops, (Amounts {14})); + EXPECT_EQ(r.forward_error, ""); +} +TEST(ContractExamples, TERM_T2_all_dead) { + const Net n({{0, 2, 0, 1}, {1, 2, 0, 1}}); + const auto r = termination(n, v({0, 1}), v({2}), centralized(SourceAllocation::Equal, {}, TunnelCount {2}), 10, finite(10)); + EXPECT_EQ(r.tunnels, 0U); + EXPECT_EQ(r.lossy, "COMPLETE"); + EXPECT_EQ(r.lossless, "EXHAUSTED"); + EXPECT_EQ(r.source_drops, (Amounts {5, 5})); + EXPECT_EQ(r.forward_error, ""); +} +// One head, one tunnel of weight 0: no head can forward. +TEST(ContractExamples, TERM_zero_weight_route) { + const Net n({{0, 1, 10, 1}}); + const NodeId s[1] = {0}; + const NodeId t[1] = {1}; + const std::vector defs = {RouteDefinition {0, n.path({0}), 0}}; + const auto r = termination(n, v({0}), v({1}), Pinned {ForwardingProgram::from_routes(*n.g, s, t, defs), nullptr}, 4, std::nullopt); + EXPECT_EQ(r.tunnels, 1U); + EXPECT_EQ(r.lossy, "NO_ACTIVE_WEIGHT"); + EXPECT_EQ(r.lossless, "NO_ACTIVE_WEIGHT"); + EXPECT_EQ(r.source_drops, (Amounts {4})); +} +TEST(ContractExamples, T2_no_tunnels_forward) { + const Net n({{0, 2, 1, 1}, {1, 2, 100, 1}}); + const auto r = termination(n, v({0, 1}), v({2}), centralized(SourceAllocation::Equal, {}, TunnelCount {16}), 10, kUnlimited); + EXPECT_EQ(r.tunnels, 0U); + EXPECT_EQ(r.lossy, "COMPLETE"); + EXPECT_EQ(r.lossless, "EXHAUSTED"); + EXPECT_EQ(r.source_drops, (Amounts {5, 5})); + EXPECT_EQ(r.forward_error, ""); +} + +// ================================================================ texts + +TEST(ContractExamples, ERR_ownership_texts) { + const Net n(kDP); + const Net other(kDP); + const NodeId t[1] = {3}; + const auto foreign_program = ForwardingProgram::from_dag(*other.g, v({0, 1}), t, other.dag({0, 1, 2, 3})); + const auto foreign_mask = std::make_shared(other.g->eligibility({}, std::vector {0})); + ShortestPathCache foreign_cache(*other.g); + FlowLedger fg(n.g); + auto make = [&](FlowPolicyConfig c, const Eligibility* m = nullptr, ShortestPathCache* cache = nullptr) { + return error_of([&] { FlowPolicy p(fg, v({0, 1}), v({3}), std::move(c), m, cache); }); + }; + const Texts got = { + make({.routing = Pinned {foreign_program, nullptr}}), + make({.routing = centralized(SourceAllocation::Optimized, other.dag({0, 2}))}), + make({.routing = Pinned {ForwardingProgram::from_dag(*n.g, v({0, 1}), t, n.dag({0, 1, 2, 3})), foreign_mask}}), + make({.routing = ShortestPaths {}}, foreign_mask.get()), + make({.routing = ShortestPaths {}}, nullptr, &foreign_cache), + error_of([&] { (void)ForwardingProgram::from_dag(*n.g, v({0, 1}), t, other.dag({0, 1, 2, 3})); }), + }; + EXPECT_EQ(got, (Texts {"program belongs to another graph", "support belongs to another graph", "black_holes belongs to another graph", + "foreign Eligibility: built for another graph", "foreign ShortestPathCache: bound to another graph", + "dag belongs to another graph"})); +} + +// The T1 search minimum and the ledger's reservation baseline (its length, then each entry). +TEST(ContractExamples, ERR_unreserved_texts) { + const Net n({{0, 1, 10, 1}, {0, 1, 10, 1}}); + auto minimum = [&](Amount x) { return error_of([&] { (void)policy(n, v({0}), v({1}), {.routing = dte_with(1, false, std::nullopt, x)}); }); }; + auto baseline = [&](Amounts r) { + const Amounts service = {10, 10}; + return error_of([&] { FlowLedger fg(n.g, service, r); }); + }; + EXPECT_EQ(minimum(Amount {1} << 62), "min_unreserved_bandwidth must be an integer in [0, 2^62)"); + EXPECT_EQ(baseline({1, 2, 3}), "reservation_baseline has length 3, expected 2 (one entry per edge)"); + EXPECT_EQ(minimum(-1), "min_unreserved_bandwidth must be an integer in [0, 2^62)"); + EXPECT_EQ(baseline(n.by_id({5, 11})), "reservation_baseline[1] = 11 is outside [0, edge_capacity_units[1] = 10]"); + EXPECT_EQ(minimum(0), ""); + EXPECT_EQ(baseline({10, 0}), ""); +} + +// ================================================================ the configuration + +TEST(ContractExamples, CFG_defaults) { + EXPECT_EQ(config_case(ShortestPaths {}), + "allocation=EQUAL source_allocation=EQUAL weight_basis=None tie_break=FEWER_HOPS multipath=True parallel_edges=True"); + EXPECT_EQ(config_case(sp_with(RouteAllocation::Equal)), + "allocation=EQUAL source_allocation=EQUAL weight_basis=None tie_break=FEWER_HOPS multipath=True parallel_edges=True"); + EXPECT_EQ(config_case(sp_with(RouteAllocation::Weighted)), + "allocation=WEIGHTED source_allocation=EQUAL weight_basis=CAPACITY tie_break=FEWER_HOPS multipath=True parallel_edges=True"); + EXPECT_EQ(config_case(sp_with(RouteAllocation::Optimized)), + "allocation=OPTIMIZED source_allocation=OPTIMIZED weight_basis=None tie_break=FEWER_HOPS multipath=True parallel_edges=True"); + EXPECT_EQ(config_case(centralized(SourceAllocation::Equal, {}, TunnelCount {16})), + "source_allocation=EQUAL support=None tunnel_count=16 prefer_headroom=False"); +} + +// Every case is a construction TypeError of the Python surface (a missing or None source +// allocation, a keyword of another model). In C++ the same shapes cannot be written: CentralizedTE +// has no default constructor, and the models have only their own fields. +TEST(ContractExamples, CFG_construction) { + static_assert(!std::is_default_constructible_v); + static_assert(std::is_constructible_v); + static_assert(std::is_aggregate_v && std::is_aggregate_v && std::is_aggregate_v); +} + +TEST(ContractExamples, CFG_matrix) { + const Net& n = config_net(); + const Texts got = { + config_case(sp_with(RouteAllocation::Equal, SourceAllocation::Optimized)), + config_case(sp_with(RouteAllocation::Optimized), 1, LY), + config_case(sp_with(RouteAllocation::Equal, std::nullopt, std::nullopt, RouteTieBreak::HigherCapacity)), + config_case(sp_with(RouteAllocation::Equal, std::nullopt, std::nullopt, RouteTieBreak::HigherCapacity, false), 2), + config_case(sp_with(RouteAllocation::Equal, std::nullopt, std::nullopt, RouteTieBreak::HigherCapacity, false)), + config_case(sp_with(RouteAllocation::Equal, std::nullopt, std::nullopt, RouteTieBreak::HigherHeadroom, true, false), 2), + config_case(sp_with(RouteAllocation::Equal, std::nullopt, WeightBasis::Capacity)), + config_case(sp_with(RouteAllocation::Weighted, std::nullopt, WeightBasis::Explicit)), + config_case(centralized(SourceAllocation::Optimized, {}, TunnelCount {2}), 2), + config_case(centralized(SourceAllocation::Optimized, {}, TunnelCount {2})), + config_case(centralized(SourceAllocation::Equal), 1, LY), + config_case(centralized(SourceAllocation::Equal, {}, std::nullopt, true)), + config_case(centralized(SourceAllocation::Equal, n.dag({1}), TunnelCount {2}), 1, LY), + config_case(dte_with(4, true)), + }; + EXPECT_EQ(got, (Texts { + "ShortestPaths with EQUAL or WEIGHTED requires source_allocation=EQUAL", + "ShortestPaths OPTIMIZED requires admission=LOSSLESS", + "ShortestPaths tie_break requires multipath=False or parallel_edges=False", + "ShortestPaths with multiple input sources requires tie_break=FEWER_HOPS when multipath=False", + "allocation=EQUAL source_allocation=EQUAL weight_basis=None tie_break=HIGHER_CAPACITY multipath=False parallel_edges=True", + "allocation=EQUAL source_allocation=EQUAL weight_basis=None tie_break=HIGHER_HEADROOM multipath=True parallel_edges=False", + "weight_basis requires allocation=WEIGHTED", + "weight_basis=EXPLICIT requires edge_weights", + "CentralizedTE with tunnel_count and several sources requires source_allocation=EQUAL", + "source_allocation=OPTIMIZED support=None tunnel_count=2 prefer_headroom=False", + "CentralizedTE without tunnel_count requires admission=LOSSLESS", + "prefer_headroom requires tunnel_count", + "source_allocation=EQUAL support=dag tunnel_count=2 prefer_headroom=False", + "DistributedTE requires an exact tunnel count", + })); +} + +TEST(ContractExamples, CFG_first_error) { + const Texts got = { + config_case(centralized(SourceAllocation::Equal, {}, std::nullopt, true), 1, LY), + config_case(sp_with(RouteAllocation::Equal, SourceAllocation::Optimized, WeightBasis::Capacity)), + config_case(sp_with(RouteAllocation::Optimized, std::nullopt, std::nullopt, RouteTieBreak::HigherCapacity), 1, LY), + config_case(sp_with(RouteAllocation::Equal, std::nullopt, WeightBasis::Capacity, RouteTieBreak::HigherCapacity)), + config_case(sp_with(RouteAllocation::Equal, std::nullopt, WeightBasis::Capacity, RouteTieBreak::HigherCapacity, false), 2), + config_case(centralized(SourceAllocation::Optimized, {}, TunnelCount {0}, true), 2), + config_case(dte_with(0, true, CostStretch(1, 2))), + config_case(dte_with(4, true, CostStretch(1, 2))), + config_case(dte_with(4, false, CostStretch(1, 2), -1)), + config_case(dte_with(4, false, std::nullopt, -1)), + }; + EXPECT_EQ(got, (Texts { + "CentralizedTE without tunnel_count requires admission=LOSSLESS", + "ShortestPaths with EQUAL or WEIGHTED requires source_allocation=EQUAL", + "ShortestPaths OPTIMIZED requires admission=LOSSLESS", + "ShortestPaths tie_break requires multipath=False or parallel_edges=False", + "ShortestPaths with multiple input sources requires tie_break=FEWER_HOPS when multipath=False", + "CentralizedTE with tunnel_count and several sources requires source_allocation=EQUAL", + "tunnel count must be in [1, 10000]", + "DistributedTE requires an exact tunnel count", + "cost_ceiling CostStretch factor must be >= 1 (got 1/2)", + "min_unreserved_bandwidth must be an integer in [0, 2^62)", + })); +} + +TEST(ContractExamples, CFG_cache_order) { + const Net& n = config_net(); + const auto to2 = config_pinned(n, 2); + const auto to1 = config_pinned(n, 1); + const std::pair, std::vector> ends {v({0}), v({1})}; + const Texts got = { + config_case(dte_with(0), 1, LL, true), + config_case(to2, 1, LL, true, ends), + config_case(centralized(SourceAllocation::Equal, {}, TunnelCount {0}), 1, LL, true), + config_case(centralized(SourceAllocation::Equal, {}, std::nullopt, true), 1, LL, true), + config_case(sp_with(RouteAllocation::Weighted), 1, LL, true), + config_case(dte_with(0)), + config_case(to2, 1, LL, false, ends), + config_case(to1, 1, LL, false, ends), + }; + EXPECT_EQ(got, (Texts { + "DistributedTE does not use ShortestPathCache", + "Pinned does not use ShortestPathCache", + "CentralizedTE does not use ShortestPathCache", + "prefer_headroom requires tunnel_count", + "allocation=WEIGHTED source_allocation=EQUAL weight_basis=CAPACITY tie_break=FEWER_HOPS multipath=True parallel_edges=True", + "tunnel count must be in [1, 10000]", + "program endpoints do not match policy endpoints", + "valid", + })); +} + +// A ceiling of another type (a float, an int) is a Python TypeError: the C++ ceiling is a variant of +// AbsoluteCost and CostStretch. The valid case: the fraction 3/2. +TEST(ContractExamples, CFG_ceiling_type) { + static_assert(!std::is_constructible_v); + EXPECT_EQ(config_case(dte_with(4, false, CostStretch(3, 2))), "valid"); +} + +TEST(ContractExamples, EVAL_first_error) { + const Net& n = config_net(); + const DesignArg inf {std::in_place, std::nullopt}; + const Texts got = { + evaluation_case(centralized(SourceAllocation::Equal, {}, std::nullopt, true), LL, finite(-1), std::nullopt), + evaluation_case(dte_with(4), LY, finite(-1), inf), + evaluation_case(dte_with(4), LY, finite(5), inf), + evaluation_case(dte_with(4), LY, std::nullopt, std::nullopt), + evaluation_case(dte_with(4), LY, std::nullopt, finite(10)), + evaluation_case(ShortestPaths {}, LL, inf, finite(5)), + evaluation_case(ShortestPaths {}, LL, std::nullopt, finite(5)), + evaluation_case(centralized(SourceAllocation::Equal, {}, TunnelCount {16}), LY, std::nullopt, std::nullopt), + evaluation_case(centralized(SourceAllocation::Equal, {}, TunnelCount {16}), LY, std::nullopt, finite(10)), + evaluation_case(config_pinned(n, 2), LY, std::nullopt, std::nullopt), + evaluation_case(ShortestPaths {}, LY, std::nullopt, std::nullopt), + evaluation_case(ShortestPaths {}, LY, finite(4), std::nullopt), + }; + EXPECT_EQ(got, (Texts { + "prefer_headroom requires tunnel_count", + "offer must be an integer in [0, 2^62)", + "DistributedTE requires a finite design demand", + "DistributedTE evaluation requires design_demand", + "DistributedTE LOSSY evaluation requires a finite offer", + "offer must be an integer in [0, 2^62)", + "ShortestPaths does not accept design_demand", + "CentralizedTE LOSSY evaluation requires a finite offer", + "offer=10 design_demand=10", + "Pinned LOSSY evaluation requires a finite offer", + "offer=first-hop experiment design_demand=None", + "offer=4 design_demand=None", + })); +} + +// An explicit +inf offer is refused by the evaluator after the configuration. A string offer is a +// Python TypeError with no C++ form (the C++ offer is an amount or +inf). +TEST(ContractExamples, EVAL_offer_infinite) { + const DesignArg inf {std::in_place, std::nullopt}; + EXPECT_EQ(evaluation_case(centralized(SourceAllocation::Equal, {}, std::nullopt, true), LL, inf, std::nullopt), + "prefer_headroom requires tunnel_count"); + EXPECT_EQ(evaluation_case(ShortestPaths {}, LL, inf, std::nullopt), "offer must be an integer in [0, 2^62)"); +} + +// ECMP Lossy over parallel links from 0 to 1: the baseline and each single-link deletion at a fixed +// offer, or without one (the first-hop experiment: each first-hop link injects its own capacity). +// The baseline and each deletion's reduction, and the baseline's accounting: requested (-1 for an +// infinite request), offered and the drop on each link. +struct OfferOut { + Amount baseline; + Amounts reductions; + Amount requested; + Amount offered; + Amounts edge_drops; + bool operator==(const OfferOut&) const = default; +}; +OfferOut evaluate_offer(const Amounts& caps, DesignArg offer) { + std::vector rows; + for (Amount c : caps) rows.push_back({0, 1, c, 1}); + const Net n(rows); + EvaluationOptions o {{.routing = ShortestPaths {}, .admission = LY}}; + o.offer = offer; + const auto s = evaluate_edge_failures(*n.g, v({0}), v({1}), o, 1); + Amounts reductions(n.m(), 0); + for (const auto& e : s.entries) reductions[static_cast(n.pos(e.edge))] = e.delivery_reduction; + return {s.baseline.call_delivered, reductions, lo(s.baseline.requested), lo(s.baseline.offered), + n.per_edge(s.baseline.edge_drops)}; +} +TEST(ContractExamples, EVAL_fixed_offer) { + const auto r = evaluate_offer({10, 10}, finite(4)); + EXPECT_EQ(r.baseline, 4); + EXPECT_EQ(r.reductions, (Amounts {0, 0})); +} +TEST(ContractExamples, EVAL_first_hop) { + const auto r = evaluate_offer({10, 10}, std::nullopt); + EXPECT_EQ(r.baseline, 20); + EXPECT_EQ(r.reductions, (Amounts {10, 10})); +} +// Each link injects its own free capacity (here its capacity): 14 delivered, nothing dropped. +TEST(ContractExamples, EVAL_first_hop_unequal) { + EXPECT_EQ(evaluate_offer({4, 10}, std::nullopt), (OfferOut {14, {4, 10}, -1, 14, {0, 0}})); +} +// A finite offer splits by round robin: 6 per link, 2 dropped on the link of 4. +TEST(ContractExamples, EVAL_fixed_offer_unequal) { + EXPECT_EQ(evaluate_offer({4, 10}, finite(12)), (OfferOut {10, {0, 6}, 12, 12, {2, 0}})); +} + +// ================================================================ CostStretch's exact fraction + +std::string reduced(const CostStretch& f) { return std::to_string(f.numerator()) + "/" + std::to_string(f.denominator()); } + +// The C++ value of each factor: a fraction reduced; an integer n/1; the float 1.2 is 6/5, 1.1 is +// 11/10, 1.5 is 3/2. The Python conversions (a float's shortest decimal, a non-finite float, an +// integer or a component beyond 64 bits, a bool or a string) have no C++ form; a denominator below 1 +// is the C++ refusal. +TEST(ContractExamples, STRETCH_values) { + EXPECT_EQ(reduced(CostStretch(6, 5)), "6/5"); + EXPECT_EQ(reduced(CostStretch(11, 10)), "11/10"); + EXPECT_EQ(reduced(CostStretch(3, 2)), "3/2"); + EXPECT_EQ(reduced(CostStretch(7500000000000001, 25000000000000000)), "7500000000000001/25000000000000000"); + EXPECT_EQ(reduced(CostStretch(12, 10)), "6/5"); + EXPECT_EQ(reduced(CostStretch(Amount {1} << 62, Amount {1} << 60)), "4/1"); + EXPECT_EQ(reduced(CostStretch(2)), "2/1"); + EXPECT_EQ(reduced(CostStretch(3)), "3/1"); + EXPECT_EQ(error_of([] { (void)CostStretch(1, 0); }), "CostStretch fraction denominator must be in [1, 2^63)"); + EXPECT_TRUE(CostStretch(15, 10) == CostStretch(3, 2)); + EXPECT_TRUE(CostStretch(6, 5) == CostStretch(12, 10)); + EXPECT_FALSE(CostStretch(6, 5) == CostStretch(5404319552844595, 4503599627370496)); +} +// NumPy factors are Python values; their C++ values: float32/float16/float64 1.2 are 6/5, float32 +// 0.30000001192092896 is 3/10, int64 2 is 2/1. +TEST(ContractExamples, STRETCH_numpy) { + EXPECT_EQ(reduced(CostStretch(6, 5)), "6/5"); + EXPECT_EQ(reduced(CostStretch(3, 10)), "3/10"); + EXPECT_EQ(reduced(CostStretch(2)), "2/1"); + EXPECT_TRUE(CostStretch(6, 5) == CostStretch(6, 5)); +} diff --git a/tests/cpp/tunnels_t1_tests.cpp b/tests/cpp/distributed_te_tests.cpp similarity index 70% rename from tests/cpp/tunnels_t1_tests.cpp rename to tests/cpp/distributed_te_tests.cpp index 7eab8a4..e50d51a 100644 --- a/tests/cpp/tunnels_t1_tests.cpp +++ b/tests/cpp/distributed_te_tests.cpp @@ -1,10 +1,10 @@ -// T1 (CapacityAware(Tunnels(N))): every head sets up its own strict tunnels by CSPF (contract -// section 6), the two ledger projections (10.1, 10.3), T1's programs, replays and stale forwarding -// (8.1, 8.4, 8.6), records, rows, flags and terminations (10.4, 14.1, 14.2), T1's evaluators (12) -// and the numeric ranges of its sums. Every expected value is derived by hand or copied from the -// contract's worked examples, never from a build; the property test compares random small cases -// with t1_reference (test_utils.hpp), an independent restatement of 6.2 to 6.5 that calls none of -// the library's searches or apportionment helpers. +// T1 (DistributedTE(TunnelCount(N))): every head sets up its own strict tunnels by CSPF +// (docs/semantics.md, "T1: tunnels set up by their heads"), the two ledger projections, T1's +// programs, replays and stale forwarding, records, rows, flags and terminations, T1's evaluators +// and the numeric ranges of its sums. Every expected value is derived by hand from those rules, +// never from a build; the property test compares random small cases with t1_reference +// (test_utils.hpp), an independent restatement of T1's setup and forwarding that calls none of the +// library's searches or apportionment helpers. #include #include @@ -27,7 +27,8 @@ #include "netgraph/core/evaluators.hpp" #include "netgraph/core/flow_ledger.hpp" #include "netgraph/core/flow_policy.hpp" -#include "netgraph/core/program.hpp" +#include "netgraph/core/search.hpp" +#include "netgraph/core/forwarding_program.hpp" #include "state_comparators.hpp" #include "test_utils.hpp" @@ -39,8 +40,8 @@ namespace { constexpr Admission LOSSLESS = Admission::Lossless; constexpr Admission LOSSY = Admission::Lossy; constexpr TunnelStatus UP = TunnelStatus::Up; -constexpr TunnelStatus NB = TunnelStatus::NoBandwidth; -constexpr TunnelStatus CC = TunnelStatus::CostCeiling; +constexpr TunnelStatus NB = TunnelStatus::InsufficientBandwidth; +constexpr TunnelStatus CC = TunnelStatus::CostCeilingExceeded; constexpr TunnelStatus FAILED = TunnelStatus::Failed; constexpr TunnelStatus BLACKHOLED = TunnelStatus::Blackholed; const std::optional INF; // +inf @@ -51,25 +52,21 @@ using Pairs = std::vector>; // A by_tunnel row: (index, head, status, assigned, delivered, dropped). using Row = std::tuple; using Rows = std::vector; -// A by_source row: (source, offered or -1 when Lossless, admitted, delivered, source_loss, dropped). +// A by_source row: (source, offered or -1 when Lossless, admitted, delivered, source_drops, total_edge_drops). using SourceRow = std::tuple; // A graph whose rows are given in EdgeId order (the ledger's eK notation). std::shared_ptr ordered(std::int32_t n, const std::vector& rows) { auto g = shared(make_graph(n, rows)); - for (std::size_t i = 0; i < rows.size(); ++i) EXPECT_EQ(g->input_index()[i], static_cast(i)); + for (std::size_t i = 0; i < rows.size(); ++i) EXPECT_EQ(g->input_positions()[i], static_cast(i)); return g; } FlowPolicyConfig t1(std::int64_t n, Admission a = LOSSLESS, std::optional ceiling = std::nullopt, - Amount minimum = 0, std::optional sel = std::nullopt) { - return FlowPolicyConfig {.routing = CapacityAware {Tunnels {n}, ceiling, minimum}, .admission = a, .selection = sel}; + Amount minimum = 0, RouteTieBreak tie = RouteTieBreak::FewerHops, bool parallel_edges = true) { + return FlowPolicyConfig {.routing = DistributedTE {TunnelCount {n}, ceiling, minimum, tie, parallel_edges}, .admission = a}; } -PathSelection sel(EdgeTieBreak t, EdgePriority p, bool multi_edge = true) { return PathSelection(t, p, false, multi_edge); } -constexpr EdgeTieBreak DET = EdgeTieBreak::Deterministic; -constexpr EdgeTieBreak PHP = EdgeTieBreak::PreferHigherPriority; - Amount lo(const Counter128& c) { EXPECT_EQ(c.hi, 0U); return static_cast(c.lo); @@ -78,13 +75,13 @@ Amount lo(const std::optional& c) { return c.has_value() ? lo(*c) : Rows rows(const PlacementResult& r) { Rows out; - for (const auto& t : r.by_tunnel) out.emplace_back(t.index, t.head, t.status, lo(t.assigned), t.delivered, lo(t.dropped)); + for (const auto& t : r.by_tunnel) out.emplace_back(t.entry_id, t.head, t.status, lo(t.assigned), t.delivered, lo(t.total_edge_drops)); return out; } std::vector source_rows(const PlacementResult& r) { std::vector out; for (const auto& s : r.by_source) { - out.emplace_back(s.source, lo(s.offered), lo(s.admitted), s.delivered, lo(s.source_loss), lo(s.dropped)); + out.emplace_back(s.source, lo(s.offered), lo(s.admitted), s.delivered, lo(s.source_drops), lo(s.total_edge_drops)); } return out; } @@ -101,17 +98,17 @@ std::vector routes(const ForwardingProgram& p) { } Amounts requests(const ForwardingProgram& p) { Amounts out; - for (const auto& t : p.tunnels()) out.push_back(t.requested); + for (const auto& t : p.tunnels()) out.push_back(t.requested_bandwidth); return out; } std::vector> entries(const std::vector& records) { std::vector> out; - for (const auto& r : records) out.push_back(r.entry); + for (const auto& r : records) out.push_back(r.entry_id); return out; } std::vector holds(const std::vector& records) { std::vector out; - for (const auto& r : records) out.push_back(r.reserved_edges); + for (const auto& r : records) out.push_back(r.edge_reservations); return out; } @@ -139,13 +136,13 @@ std::shared_ptr diam5() { std::shared_ptr x8() { return ordered(3, {{0, 2, 0, 1}, {1, 2, 8, 3}}); } std::shared_ptr zl() { return ordered(2, {{0, 1, 0, 1}, {0, 1, 10, 2}}); } -const OutputOptions kHolds {.reservation_edge_flows = true}; +const OutputOptions kHolds {.edge_reservations = true}; } // namespace -// ---------------------------------------------------------------- the contract's examples +// ---------------------------------------------------------------- the worked examples -// Every T1 example of the contract (6.2 to 6.4, 3.4), reproduced with the example's own inputs +// Every worked T1 example, reproduced with the example's own inputs // and expected values: the requests in round order, every tunnel's status and path, the holds per // edge and in all, the lossless bound (Lossless replace(+inf, D)), and with an offer O the Lossy // shares per entry, delivery and source loss of replace(O, D). @@ -163,12 +160,12 @@ TEST(T1Setup, ContractExamples) { std::vector routes; std::vector status; Amount reserved; - Amounts reserved_edges; + Amounts edge_reservations; Amount bound; std::optional offer {}; Amounts shares {}; // Lossy offered per entry Amount delivery {0}; - Amount source_loss {0}; + Amount source_drops {0}; }; const std::vector diam = {{0, 1, 6, 1}, {0, 2, 6, 3}, {1, 2, 4, 1}, {1, 3, 6, 3}, {2, 3, 6, 1}}; const std::vector g1 = {{0, 1, 8192, 1}, {0, 2, 40960, 1}, {1, 3, 8192, 1}, {2, 3, 40960, 1}}; @@ -214,14 +211,19 @@ TEST(T1Setup, ContractExamples) { {"a head behind a zero-capacity link", 3, {{0, 2, 0, 1}, {1, 2, 8, 3}}, {0, 1}, 2, 4, 1, std::nullopt, {2, 2}, {{}, {1}}, {NB, UP}, 2, {0, 2}, 0, 4, {0, 2}, 2, 2}, - {"a head behind a zero-capacity link, Absolute(3)", - 3, {{0, 2, 0, 1}, {1, 2, 8, 3}}, {0, 1}, 2, 4, 1, Absolute {3}, {2, 2}, {{}, {1}}, {NB, UP}, 2, + {"a head behind a zero-capacity link, AbsoluteCost(3)", + 3, {{0, 2, 0, 1}, {1, 2, 8, 3}}, {0, 1}, 2, 4, 1, AbsoluteCost {3}, {2, 2}, {{}, {1}}, {NB, UP}, 2, {0, 2}, 0}, - {"a head behind a zero-capacity link, Stretch(2)", - 3, {{0, 2, 0, 1}, {1, 2, 8, 3}}, {0, 1}, 2, 4, 1, Stretch {2.0}, {2, 2}, {{}, {}}, {NB, CC}, 0, + {"a head behind a zero-capacity link, CostStretch(2)", + 3, {{0, 2, 0, 1}, {1, 2, 8, 3}}, {0, 1}, 2, 4, 1, CostStretch(2), {2, 2}, {{}, {}}, {NB, CC}, 0, {0, 0}, 0}, - {"Stretch(1.2) just below the next path", - 2, {{0, 1, 0, 5}, {0, 1, 1, 6}}, {0}, 1, 1, 1, Stretch {1.2}, {1}, {{}}, {CC}, 0, {0, 0}, 0, + // A-X8-Stretch-exact: c0 = 5 and the factor exactly 6/5, so the cost-6 path is admitted at + // equality; A-X8-Stretch-cost7: at cost 7 it exceeds the ceiling. + {"CostStretch(6/5) admits the next path at equality", + 2, {{0, 1, 0, 5}, {0, 1, 1, 6}}, {0}, 1, 1, 1, CostStretch(6, 5), {1}, {{1}}, {UP}, 1, {0, 1}, 1, + 1, {1}, 1, 0}, + {"CostStretch(6/5) below a path of cost 7", + 2, {{0, 1, 0, 5}, {0, 1, 1, 7}}, {0}, 1, 1, 1, CostStretch(6, 5), {1}, {{}}, {CC}, 0, {0, 0}, 0, 1, {0}, 0, 1}, {"the diamond, design 8", 4, diam, {0}, 3, 8, 2, std::nullopt, {4, 4}, {{0, 2, 4}, {}}, {UP, NB}, 4, {4, 0, 4, 0, 4}, 4}, @@ -261,10 +263,10 @@ TEST(T1Setup, ContractExamples) { EXPECT_EQ(routes(*r.program), x.routes) << where; EXPECT_EQ(statuses(*r.program), x.status) << where; ASSERT_TRUE(r.plan.has_value()) << where; - EXPECT_EQ(r.plan->reserved_total, x.reserved) << where; - EXPECT_EQ(*r.reservation_edge_flows, x.reserved_edges) << where; - EXPECT_EQ(ll.ledger->reserved(), x.reserved_edges) << where; - EXPECT_EQ(r.placed, x.bound) << where; + EXPECT_EQ(r.plan->total_reserved_bandwidth, x.reserved) << where; + EXPECT_EQ(*r.edge_reservations, x.edge_reservations) << where; + EXPECT_EQ(ll.ledger->reserved(), x.edge_reservations) << where; + EXPECT_EQ(r.call_delivered, x.bound) << where; EXPECT_EQ(r.termination, Termination::Exhausted) << where; // an unlimited query if (!x.offer.has_value()) continue; auto ly = make(g, x.heads, {x.dst}, t1(x.N, LOSSY, x.ceiling)); @@ -272,16 +274,16 @@ TEST(T1Setup, ContractExamples) { Amounts shares; for (const auto& t : s.by_tunnel) shares.push_back(lo(t.assigned)); EXPECT_EQ(shares, x.shares) << where; - EXPECT_EQ(s.placed, x.delivery) << where; - EXPECT_EQ(s.call_source_loss, x.source_loss) << where; + EXPECT_EQ(s.call_delivered, x.delivery) << where; + EXPECT_EQ(s.call_source_drops, x.source_drops) << where; EXPECT_EQ(s.termination, Termination::Complete) << where; - // The setup does not depend on the offer (6.5): the same program as the Lossless call's. + // The setup does not depend on the offer: the same program as the Lossless call's. EXPECT_EQ(routes(*s.program), x.routes) << where; EXPECT_EQ(statuses(*s.program), x.status) << where; } } -// The split of 6.2: D = 5 over two heads and N = 2: shares RR(5, 2) = (3, 2); requests in round +// The design split: D = 5 over two heads and N = 2: shares RR(5, 2) = (3, 2); requests in round // order 2, 1, 1, 1. And TWOH(10, 10), D = 10: shares (5, 5), requests 3, 3, 2, 2. TEST(T1Setup, RoundOrder) { auto p = make(twoh(10, 10), {0, 1}, {2}, t1(2)); @@ -291,33 +293,33 @@ TEST(T1Setup, RoundOrder) { std::vector indices, locals; for (const auto& t : split.program->tunnels()) { heads.push_back(t.head); - indices.push_back(t.index); + indices.push_back(t.entry_id); locals.push_back(t.local_index); } EXPECT_EQ(heads, v({0, 1, 0, 1})); EXPECT_EQ(indices, (std::vector {0, 1, 2, 3})); EXPECT_EQ(locals, (std::vector {0, 0, 1, 1})); - EXPECT_EQ(split.plan->head_design, (std::vector> {{0, 3}, {1, 2}})); + EXPECT_EQ(split.plan->design_by_head, (std::vector> {{0, 3}, {1, 2}})); EXPECT_EQ(requests(*p->replace(10, 10).program), (Amounts {3, 3, 2, 2})); } -// ---------------------------------------------------------------- setup (6.4) +// ---------------------------------------------------------------- setup -// PARX (e0 cap 4, e1 cap 10, both cost 1), N = 2, D = 8 (requests 4 and 4). DETERMINISTIC -// ignores priorities: e0 (lowest EdgeId), then e1 (e0 is filtered at U = 0). PREFER_HIGHER_PRIORITY: -// CAPACITY reads C (10 > 4): e1 twice; RESIDUAL reads U (10 > 4, then 6 > 4): e1 twice; HEADROOM -// reads U/C (4/4 = 10/10: a tie, then the lower EdgeId e0; then e0 is filtered): e0, e1. -TEST(T1Setup, PriorityTies) { +// PARX (e0 cap 4, e1 cap 10, both cost 1), N = 2, D = 8 (requests 4 and 4). FEWER_HOPS reads no +// score: e0 (lowest EdgeId), then e1 (e0 is filtered at U = 0). HIGHER_CAPACITY reads C (10 > 4): +// e1 twice; HIGHER_AVAILABLE_CAPACITY reads U (10 > 4, then 6 > 4): e1 twice; HIGHER_HEADROOM reads +// U/C (4/4 = 10/10: a tie, then the lower EdgeId e0; then e0 is filtered): e0, e1. +TEST(T1Setup, TieBreaks) { const auto g = ordered(2, {{0, 1, 4, 1}, {0, 1, 10, 1}}); struct Case { - PathSelection s; + RouteTieBreak s; std::vector routes; Amounts holds; }; - for (const auto& c : {Case {sel(DET, EdgePriority::Capacity), {{0}, {1}}, {4, 4}}, - Case {sel(PHP, EdgePriority::Capacity), {{1}, {1}}, {0, 8}}, - Case {sel(PHP, EdgePriority::Residual), {{1}, {1}}, {0, 8}}, - Case {sel(PHP, EdgePriority::Headroom), {{0}, {1}}, {4, 4}}}) { + for (const auto& c : {Case {RouteTieBreak::FewerHops, {{0}, {1}}, {4, 4}}, + Case {RouteTieBreak::HigherCapacity, {{1}, {1}}, {0, 8}}, + Case {RouteTieBreak::HigherAvailableCapacity, {{1}, {1}}, {0, 8}}, + Case {RouteTieBreak::HigherHeadroom, {{0}, {1}}, {4, 4}}}) { auto p = make(g, {0}, {1}, t1(2, LOSSLESS, std::nullopt, 0, c.s)); const auto r = p->replace(8, 8); EXPECT_EQ(routes(*r.program), c.routes); @@ -325,36 +327,54 @@ TEST(T1Setup, PriorityTies) { } } -// PVIEW (e0 cap 10, e1 cap 8) with FlowLedger(g, unreserved = [5, 8]), N = 1, D = 4: -// DETERMINISTIC e0; PHP CAPACITY e0 (C 10 > 8); PHP RESIDUAL e1 (U 8 > 5); PHP HEADROOM e1 (8/8 > -// 5/10). RESIDUAL and HEADROOM read U, not the service residual (both 10 and 8 here). -TEST(T1Setup, PriorityReadsUnreserved) { +// PVIEW (e0 cap 10, e1 cap 8) with FlowLedger(g, reservation_baseline = [5, 8]), N = 1, D = 4: FEWER_HOPS +// e0; HIGHER_CAPACITY e0 (C 10 > 8); HIGHER_AVAILABLE_CAPACITY e1 (U 8 > 5); HIGHER_HEADROOM e1 +// (8/8 > 5/10). HIGHER_AVAILABLE_CAPACITY and HIGHER_HEADROOM read U, not the service residual +// (both 10 and 8 here). +TEST(T1Setup, TieBreakReadsUnreserved) { const auto g = ordered(2, {{0, 1, 10, 1}, {0, 1, 8, 1}}); const Amounts unreserved = {5, 8}; - for (const auto& [s, want] : {std::pair {sel(DET, EdgePriority::Capacity), Edges {0}}, - std::pair {sel(PHP, EdgePriority::Capacity), Edges {0}}, - std::pair {sel(PHP, EdgePriority::Residual), Edges {1}}, - std::pair {sel(PHP, EdgePriority::Headroom), Edges {1}}}) { - auto ledger = std::make_shared(g, g->capacity_units(), unreserved); + for (const auto& [s, want] : {std::pair {RouteTieBreak::FewerHops, Edges {0}}, + std::pair {RouteTieBreak::HigherCapacity, Edges {0}}, + std::pair {RouteTieBreak::HigherAvailableCapacity, Edges {1}}, + std::pair {RouteTieBreak::HigherHeadroom, Edges {1}}}) { + auto ledger = std::make_shared(g, g->edge_capacity_units(), unreserved); auto p = make(g, {0}, {1}, t1(1, LOSSLESS, std::nullopt, 0, s), nullptr, ledger); EXPECT_EQ(routes(*p->replace(4, 4).program), (std::vector {want})); } } +// PAR(10, 10) with the reservation baseline [3, 8], N = 1, D = 1: equal capacities, so +// HIGHER_CAPACITY ties and falls to hops, then the lower EdgeId (e0); the scores of +// HIGHER_AVAILABLE_CAPACITY (3 < 8) and HIGHER_HEADROOM (3/10 < 8/10) read the unreserved view, +// not the service view (10 and 10, a tie), and take e1. +TEST(T1Setup, TieScores) { + const auto g = ordered(2, {{0, 1, 10, 1}, {0, 1, 10, 1}}); + const Amounts unreserved = {3, 8}; + for (const auto& [s, want] : {std::pair {RouteTieBreak::FewerHops, Edges {0}}, + std::pair {RouteTieBreak::HigherCapacity, Edges {0}}, + std::pair {RouteTieBreak::HigherAvailableCapacity, Edges {1}}, + std::pair {RouteTieBreak::HigherHeadroom, Edges {1}}}) { + auto ledger = std::make_shared(g, g->edge_capacity_units(), unreserved); + auto p = make(g, {0}, {1}, t1(1, LOSSLESS, std::nullopt, 0, s), nullptr, ledger); + EXPECT_EQ(routes(*p->replace(1, 1).program), (std::vector {want})) << static_cast(s); + } +} + // FILT (e0 cap 2, e1 cap 10), N = 1, D = 6: the filter (e0: 2 < 6) runs before the // collapse of parallel members, which would otherwise keep e0 (the lowest EdgeId at equal cost). TEST(T1Setup, FilterBeforeCollapse) { const auto g = ordered(2, {{0, 1, 2, 1}, {0, 1, 10, 1}}); - for (const bool multi_edge : {false, true}) { - auto p = make(g, {0}, {1}, t1(1, LOSSLESS, std::nullopt, 0, sel(DET, EdgePriority::Capacity, multi_edge))); + for (const bool parallel_edges : {false, true}) { + auto p = make(g, {0}, {1}, t1(1, LOSSLESS, std::nullopt, 0, RouteTieBreak::FewerHops, parallel_edges)); const auto r = p->replace(6, 6); - EXPECT_EQ(routes(*r.program), (std::vector {{1}})) << multi_edge; - EXPECT_EQ(statuses(*r.program), (std::vector {UP})) << multi_edge; + EXPECT_EQ(routes(*r.program), (std::vector {{1}})) << parallel_edges; + EXPECT_EQ(statuses(*r.program), (std::vector {UP})) << parallel_edges; } - // The last-tunnel-without-bandwidth example with multi_edge = false (the filter comes before the - // collapse): UP, UP, UP, NB as with true. + // The last-tunnel-without-bandwidth example with parallel_edges = false (the filter comes before + // the collapse): UP, UP, UP, NB as with true. const auto ax3 = ordered(2, {{0, 1, 2, 1}, {0, 1, 10, 2}}); - auto p = make(ax3, {0}, {1}, t1(4, LOSSLESS, std::nullopt, 0, sel(DET, EdgePriority::Capacity, false))); + auto p = make(ax3, {0}, {1}, t1(4, LOSSLESS, std::nullopt, 0, RouteTieBreak::FewerHops, false)); EXPECT_EQ(statuses(*p->replace(12, 12).program), (std::vector {UP, UP, UP, NB})); } @@ -371,18 +391,18 @@ TEST(T1Setup, MinUnreserved) { const auto r = p->replace(INF, 2); EXPECT_EQ(routes(*r.program), (std::vector {path, path})) << minimum; EXPECT_EQ(p.ledger->reserved(), holding) << minimum; - EXPECT_EQ(r.placed, bound) << minimum; - EXPECT_EQ(r.plan->reserved_total, 2) << minimum; // the requests, not the minimum + EXPECT_EQ(r.call_delivered, bound) << minimum; + EXPECT_EQ(r.plan->total_reserved_bandwidth, 2) << minimum; // the requests, not the minimum } auto z = make(zl(), {0}, {1}, t1(2, LOSSY, std::nullopt, 1)); const auto r = z->replace(2, 1); EXPECT_EQ(requests(*r.program), (Amounts {1, 0})); EXPECT_EQ(routes(*r.program), (std::vector {{1}, {1}})); EXPECT_EQ(z.ledger->reserved(), (Amounts {0, 1})); - EXPECT_EQ(r.placed, 2); + EXPECT_EQ(r.call_delivered, 2); } -// Other owners' holds reduce U (10.1). ONE10: policy A (N = 1) replace(6, 6) holds 6 +// Other owners' holds reduce U. ONE10: policy A (N = 1) replace(6, 6) holds 6 // (reserved [6], unreserved [4]); policy B (N = 1, Lossy) replace(6, 6) sees U = 4 < 6: NB, its // share lost at the head; after A.remove() B's replace(6, 6) is up with the hold [6]. TEST(T1Setup, OtherOwnersHolds) { @@ -395,7 +415,7 @@ TEST(T1Setup, OtherOwnersHolds) { EXPECT_EQ(ledger->unreserved(), (Amounts {4})); const auto down = b->replace(6, 6); EXPECT_EQ(statuses(*down.program), (std::vector {NB})); - EXPECT_EQ(down.call_source_loss, 6); + EXPECT_EQ(down.call_source_drops, 6); a->remove(); const auto up = b->replace(6, 6); EXPECT_EQ(statuses(*up.program), (std::vector {UP})); @@ -404,111 +424,115 @@ TEST(T1Setup, OtherOwnersHolds) { } // TWOH(10, 10), N = 2, D = 10 with node 0 masked: the roster is [1] (requests 5, 5, -// head_design ((1, 10))); source 0 keeps a zero by_source row (Lossy: offered 0). +// design_by_head ((1, 10))); source 0 keeps a zero by_source row (Lossy: offered 0). TEST(T1Setup, MaskedSource) { const auto g = twoh(10, 10); const auto mask = g->eligibility(std::vector {0}, {}); auto p = make(g, {0, 1}, {2}, t1(2, LOSSY), &mask); const auto r = p->replace(10, 10); EXPECT_EQ(requests(*r.program), (Amounts {5, 5})); - EXPECT_EQ(r.plan->head_design, (std::vector> {{1, 10}})); + EXPECT_EQ(r.plan->design_by_head, (std::vector> {{1, 10}})); EXPECT_EQ(source_rows(r), (std::vector {{0, 0, 0, 0, 0, 0}, {1, 10, 10, 10, 0, 0}})); EXPECT_EQ(vec(r.program->sources()), v({0, 1})); } -// Stretch(2) on X8: c0 = 1 is the pool minimum, through head 0's -// zero-capacity link (before any filter): head 1's only path costs 3 > 2: COST_CEILING (T0 took a -// per-head baseline of 3 and admitted it). Stretch(1e300) does not overflow: NB, UP. +// CostStretch(2) on X8: c0 = 1 is the pool minimum, through head 0's +// zero-capacity link (before any filter): head 1's only path costs 3 > 2: COST_CEILING_EXCEEDED (T0 took a +// per-head baseline of 3 and admitted it). The largest numerator, 2^63 - 1, does not overflow: NB, UP. TEST(T1Setup, StretchPoolBaseline) { - for (const auto& [f, second] : {std::pair {2.0, CC}, std::pair {1e300, UP}}) { - auto p = make(x8(), {0, 1}, {2}, t1(1, LOSSY, Stretch {f})); - EXPECT_EQ(statuses(*p->replace(4, 4).program), (std::vector {NB, second})) << f; + constexpr std::int64_t kMax = std::numeric_limits::max(); + for (const auto& [f, second] : {std::pair {CostStretch(2), CC}, std::pair {CostStretch(kMax), UP}}) { + auto p = make(x8(), {0, 1}, {2}, t1(1, LOSSY, f)); + EXPECT_EQ(statuses(*p->replace(4, 4).program), (std::vector {NB, second})) << f.numerator(); } - // Absolute is inclusive: Absolute(3) admits the cost-3 path, Absolute(2) not. - auto in = make(x8(), {0, 1}, {2}, t1(1, LOSSY, Absolute {3})); + // AbsoluteCost is inclusive: AbsoluteCost(3) admits the cost-3 path, AbsoluteCost(2) not. + auto in = make(x8(), {0, 1}, {2}, t1(1, LOSSY, AbsoluteCost {3})); EXPECT_EQ(statuses(*in->replace(4, 4).program), (std::vector {NB, UP})); - auto out = make(x8(), {0, 1}, {2}, t1(1, LOSSY, Absolute {2})); + auto out = make(x8(), {0, 1}, {2}, t1(1, LOSSY, AbsoluteCost {2})); EXPECT_EQ(statuses(*out->replace(4, 4).program), (std::vector {NB, CC})); // Large costs compare exactly: two parallel paths of 2^60 and 2^60 + 1 (two units each), D = 4, - // N = 2: Stretch(1) admits only the cheaper one for the first tunnel, the second tunnel's only - // remaining path costs 2^60 + 1: CostCeiling; Stretch(1 + 2^-52) admits it. + // N = 2: CostStretch(1) admits only the cheaper one for the first tunnel, the second tunnel's only + // remaining path costs 2^60 + 1: CostCeiling; (2^60 + 1) / 2^60 admits it at equality, (2^61 + 1) + // / 2^61 does not ((2^60 + 1) * 2^61 = 2^121 + 2^61 > (2^61 + 1) * 2^60 = 2^121 + 2^60). const Cost half = Cost {1} << 59; const auto big = ordered(5, {{0, 1, 2, half}, {0, 2, 2, half}, {1, 4, 2, half}, {2, 4, 2, half + 1}}); - for (const auto& [f, want] : {std::pair {1.0, std::vector {UP, CC}}, - std::pair {std::nextafter(1.0, 2.0), std::vector {UP, UP}}, - std::pair {std::ldexp(1.0, 70), std::vector {UP, UP}}}) { - auto p = make(big, {0}, {4}, t1(2, LOSSLESS, Stretch {f})); - EXPECT_EQ(statuses(*p->replace(4, 4).program), want) << f; + const std::int64_t p60 = std::int64_t {1} << 60; + for (const auto& [f, want] : {std::pair {CostStretch(1), std::vector {UP, CC}}, + std::pair {CostStretch(p60 + 1, p60), std::vector {UP, UP}}, + std::pair {CostStretch(2 * p60 + 1, 2 * p60), std::vector {UP, CC}}, + std::pair {CostStretch(kMax), std::vector {UP, UP}}}) { + auto p = make(big, {0}, {4}, t1(2, LOSSLESS, f)); + EXPECT_EQ(statuses(*p->replace(4, 4).program), want) << f.numerator() << "/" << f.denominator(); } // The baseline ignores the setup view: a third party's holds on the cheap path leave c0 = 2^60. auto ledger = std::make_shared(big); auto third = make(big, {0}, {4}, t1(1), nullptr, ledger); EXPECT_EQ(statuses(*third->replace(2, 2).program), (std::vector {UP})); - auto p = make(big, {0}, {4}, t1(1, LOSSLESS, Stretch {1.0}), nullptr, ledger); + auto p = make(big, {0}, {4}, t1(1, LOSSLESS, CostStretch(1)), nullptr, ledger); EXPECT_EQ(statuses(*p->replace(2, 2).program), (std::vector {CC})); - // A fractional factor is inclusive at equality: Stretch(1.5) on c0 = 2 admits a path of cost 3 + // A fractional factor is inclusive at equality: CostStretch(3/2) on c0 = 2 admits a path of cost 3 // exactly and rejects one of cost 4 (the cheaper links are too small for the request of 5). - auto at = make(ordered(2, {{0, 1, 1, 2}, {0, 1, 10, 3}}), {0}, {1}, t1(1, LOSSLESS, Stretch {1.5})); + auto at = make(ordered(2, {{0, 1, 1, 2}, {0, 1, 10, 3}}), {0}, {1}, t1(1, LOSSLESS, CostStretch(3, 2))); const auto ra = at->replace(5, 5); EXPECT_EQ(statuses(*ra.program), (std::vector {UP})); - EXPECT_EQ(ra.program->tunnels()[0].route_cost, std::optional {3}); - auto above = make(ordered(2, {{0, 1, 1, 2}, {0, 1, 1, 3}, {0, 1, 10, 4}}), {0}, {1}, t1(1, LOSSLESS, Stretch {1.5})); + EXPECT_EQ(ra.program->tunnels()[0].path_cost, std::optional {3}); + auto above = make(ordered(2, {{0, 1, 1, 2}, {0, 1, 1, 3}, {0, 1, 10, 4}}), {0}, {1}, t1(1, LOSSLESS, CostStretch(3, 2))); EXPECT_EQ(statuses(*above->replace(5, 5).program), (std::vector {CC})); } -// ---------------------------------------------------------------- forwarding (6.5) +// ---------------------------------------------------------------- forwarding // TWOH(2, 10) Lossless replace(12, 12): head 0 has no up tunnel, so only the total -// 0 gives it nothing: placed 0, unadmitted 12, Exhausted; the holds stand ([0, 6]). +// 0 gives it nothing: call_delivered 0, unadmitted 12, Exhausted; the holds stand ([0, 6]). TEST(T1Forwarding, LosslessDeadHead) { auto p = make(twoh(2, 10), {0, 1}, {2}, t1(2)); const auto r = p->replace(12, 12); - EXPECT_EQ(r.placed, 0); + EXPECT_EQ(r.call_delivered, 0); EXPECT_EQ(lo(r.unadmitted), 12); EXPECT_EQ(r.termination, Termination::Exhausted); EXPECT_EQ(p.ledger->reserved(), (Amounts {0, 6})); } -// Holds do not police and have no priority. ONE10: a CostOnly Lossy policy +// Holds do not police and have no priority. ONE10: a ShortestPaths Lossy policy // carries 10 (residual 0); T1 (N = 1, Lossy) replace(4, 4) sets up on unreserved 10 (not the // residual): up, holding 4; its forwarding meets the residual 0: 4 dropped on e0, nothing delivered. TEST(T1Forwarding, HoldsDoNotQueue) { const auto g = one10(); auto ledger = std::make_shared(g); - auto c = make(g, {0}, {1}, FlowPolicyConfig {CostOnly {}, FlowPlacement::EqualBalanced, LOSSY}, nullptr, ledger); - EXPECT_EQ(c->replace(10).placed, 10); + auto c = make(g, {0}, {1}, FlowPolicyConfig {ShortestPaths {}, LOSSY}, nullptr, ledger); + EXPECT_EQ(c->replace(10).call_delivered, 10); auto p = make(g, {0}, {1}, t1(1, LOSSY), nullptr, ledger); const auto r = p->replace(4, 4); EXPECT_EQ(statuses(*r.program), (std::vector {UP})); EXPECT_EQ(ledger->reserved(), (Amounts {4})); - EXPECT_EQ(r.call_drops, (Pairs {{0, 4}})); - EXPECT_EQ(r.placed, 0); + EXPECT_EQ(r.call_edge_drops, (Pairs {{0, 4}})); + EXPECT_EQ(r.call_delivered, 0); EXPECT_EQ(ledger->residual(), (Amounts {0})); - // Carried above the holds (2.5): each tunnel holds 4 and carries 5. + // Carried above the holds: each tunnel holds 4 and carries 5. auto o = make(ordered(2, {{0, 1, 5, 1}, {0, 1, 5, 1}}), {0}, {1}, t1(2, LOSSY)); const auto over = o->replace(10, 8); - EXPECT_EQ(over.placed, 10); + EXPECT_EQ(over.call_delivered, 10); for (const auto& rec : o->records()) { EXPECT_EQ(rec.delivered, 5); - ASSERT_EQ(rec.reserved_edges.size(), 1U); - EXPECT_EQ(rec.reserved_edges[0].second, 4); + ASSERT_EQ(rec.edge_reservations.size(), 1U); + EXPECT_EQ(rec.edge_reservations[0].second, 4); } } // DIAM5 with D = 14: both tunnels down; Lossy replace(5, 14) loses -// the 5 at the head (Complete: 14.2 rule (3) needs an entry with a path); Lossless places 0 -// (Exhausted). The contract's offer 14 loses 14. +// the 5 at the head (Complete: NO_ACTIVE_WEIGHT needs an entry with a path); Lossless places 0 +// (Exhausted). The offer 14 loses 14. TEST(T1Forwarding, AllDown) { for (const Amount offer : {5, 14}) { auto ly = make(diam5(), {0}, {3}, t1(2, LOSSY)); const auto r = ly->replace(offer, 14); EXPECT_EQ(statuses(*r.program), (std::vector {NB, NB})); - EXPECT_EQ(r.call_source_loss, offer); - EXPECT_EQ(r.placed, 0); + EXPECT_EQ(r.call_source_drops, offer); + EXPECT_EQ(r.call_delivered, 0); EXPECT_EQ(r.termination, Termination::Complete); auto ll = make(diam5(), {0}, {3}, t1(2)); const auto s = ll->replace(offer, 14); - EXPECT_EQ(s.placed, 0); + EXPECT_EQ(s.call_delivered, 0); EXPECT_EQ(s.termination, Termination::Exhausted); } } @@ -519,42 +543,42 @@ TEST(T1Forwarding, ByTunnel) { auto p = make(par612(), {0}, {1}, t1(4, LOSSY)); const auto r = p->replace(13, 12); EXPECT_EQ(rows(r), (Rows {{0, 0, UP, 4, 4, 0}, {1, 0, UP, 3, 2, 1}, {2, 0, UP, 3, 3, 0}, {3, 0, UP, 3, 3, 0}})); - EXPECT_EQ(r.call_drops, (Pairs {{0, 1}})); - EXPECT_EQ(r.placed, 12); + EXPECT_EQ(r.call_edge_drops, (Pairs {{0, 1}})); + EXPECT_EQ(r.call_delivered, 12); } -// ---------------------------------------------------------------- operations (6.6, 10.2, 10.3) +// ---------------------------------------------------------------- operations -// The contract's call of 6.6: TWOH(2, 10), N = 2, Lossy replace(12, 12), +// The TWOH call: TWOH(2, 10), N = 2, Lossy replace(12, 12), // then forward(8). TEST(T1Operations, ContractCall) { auto p = make(twoh(2, 10), {0, 1}, {2}, t1(2, LOSSY)); const auto r = p->replace(12, 12, kHolds); EXPECT_EQ(statuses(*r.program), (std::vector {NB, UP, NB, UP})); - EXPECT_EQ(r.placed, 6); - EXPECT_EQ(r.call_source_loss, 6); - EXPECT_EQ(r.plan->reserved_total, 6); - EXPECT_EQ(r.plan->count, 2); + EXPECT_EQ(r.call_delivered, 6); + EXPECT_EQ(r.call_source_drops, 6); + EXPECT_EQ(r.plan->total_reserved_bandwidth, 6); + EXPECT_EQ(r.plan->tunnels_per_head, 2); EXPECT_EQ(r.plan->design_demand, std::optional {12}); - EXPECT_EQ(r.plan->head_design, (std::vector> {{0, 6}, {1, 6}})); - EXPECT_EQ(*r.reservation_edge_flows, (Amounts {0, 6})); + EXPECT_EQ(r.plan->design_by_head, (std::vector> {{0, 6}, {1, 6}})); + EXPECT_EQ(*r.edge_reservations, (Amounts {0, 6})); EXPECT_EQ(rows(r), (Rows {{0, 0, NB, 0, 0, 0}, {1, 1, UP, 3, 3, 0}, {2, 0, NB, 0, 0, 0}, {3, 1, UP, 3, 3, 0}})); EXPECT_EQ(source_rows(r), (std::vector {{0, 6, 6, 0, 6, 0}, {1, 6, 6, 6, 0, 0}})); const auto recs = p->records(); EXPECT_EQ(entries(recs), (std::vector> {0, 1, 2, 3})); EXPECT_EQ(holds(recs), (std::vector {{}, {{1, 3}}, {}, {{1, 3}}})); for (const std::size_t down : {0U, 2U}) { - EXPECT_TRUE(ascending_edges(*recs[down].bundle).empty()); - EXPECT_EQ(recs[down].route_cost, kUnreachable); + EXPECT_TRUE(ascending_edges(*recs[down].route).empty()); + EXPECT_EQ(recs[down].min_route_cost, kUnreachable); } - EXPECT_EQ(ascending_edges(*recs[1].bundle), (Edges {1})); - EXPECT_EQ(recs[1].route_cost, 1); + EXPECT_EQ(ascending_edges(*recs[1].route), (Edges {1})); + EXPECT_EQ(recs[1].min_route_cost, 1); std::vector before; for (const auto& rec : recs) before.push_back(rec.flow_id.second); // forward(8): the same tunnels and holds; head 0 still loses its share (4). const auto f = p->forward(8); - EXPECT_EQ(f.placed, 4); - EXPECT_EQ(f.call_source_loss, 4); + EXPECT_EQ(f.call_delivered, 4); + EXPECT_EQ(f.call_source_drops, 4); EXPECT_EQ(f.delivery_delta, -2); EXPECT_FALSE(f.routes_changed || f.weights_changed || f.reservations_changed); EXPECT_EQ(f.program, r.program); @@ -585,7 +609,7 @@ TEST(T1Operations, ReplaceReleasesOwnHolds) { // After replace(6, 6) on ONE10, evaluate(3, 8) sets up for 8 (its result holds 8) and publishes // nothing; replace(0) with N = 2 (D = 0): both up without a hold, Complete; replace(0, 12): requests // 6, 6, tunnel 0 up (U = 10), tunnel 1 NB (U = 4 < 6), holds [6]: a zero offer still books holds -// (10.3). +//. TEST(T1Operations, EvaluateAndZero) { auto p = make(one10(), {0}, {1}, t1(1)); (void)p->replace(6, 6); @@ -594,10 +618,10 @@ TEST(T1Operations, EvaluateAndZero) { const auto e = p->evaluate(3, 8, kHolds); EXPECT_EQ(statuses(*e.program), (std::vector {UP})); EXPECT_EQ(requests(*e.program), (Amounts {8})); - EXPECT_EQ(e.program->tunnels()[0].reserved, 8); - EXPECT_EQ(e.plan->reserved_total, 8); - EXPECT_EQ(*e.reservation_edge_flows, (Amounts {8})); - EXPECT_EQ(e.placed, 3); + EXPECT_EQ(e.program->tunnels()[0].reserved_bandwidth, 8); + EXPECT_EQ(e.plan->total_reserved_bandwidth, 8); + EXPECT_EQ(*e.edge_reservations, (Amounts {8})); + EXPECT_EQ(e.call_delivered, 3); expect_same(ledger_state(*p.ledger), ledger, "evaluate"); expect_unchanged(epoch(*p.p), ep, "evaluate"); auto q = make(one10(), {0}, {1}, t1(2)); @@ -606,7 +630,7 @@ TEST(T1Operations, EvaluateAndZero) { EXPECT_EQ(requests(*z.program), (Amounts {0, 0})); EXPECT_EQ(q.ledger->reserved(), (Amounts {0})); EXPECT_EQ(z.termination, Termination::Complete); - EXPECT_EQ(z.placed, 0); + EXPECT_EQ(z.call_delivered, 0); const auto z12 = q->replace(0, 12); EXPECT_EQ(requests(*z12.program), (Amounts {6, 6})); EXPECT_EQ(statuses(*z12.program), (std::vector {UP, NB})); @@ -614,13 +638,13 @@ TEST(T1Operations, EvaluateAndZero) { EXPECT_EQ(z12.termination, Termination::Complete); } -// PAR612, N = 4, Lossless replace(+inf, 12): placed 12, remaining +inf, requested +inf, +// PAR612, N = 4, Lossless replace(+inf, 12): call_delivered 12, call_undelivered +inf, requested +inf, // unadmitted absent, Exhausted. TEST(T1Operations, InfiniteOffer) { auto p = make(par612(), {0}, {1}, t1(4)); const auto r = p->replace(INF, 12); - EXPECT_EQ(r.placed, 12); - EXPECT_FALSE(r.remaining.has_value()); + EXPECT_EQ(r.call_delivered, 12); + EXPECT_FALSE(r.call_undelivered.has_value()); EXPECT_FALSE(r.requested.has_value()); EXPECT_FALSE(r.unadmitted.has_value()); EXPECT_EQ(r.termination, Termination::Exhausted); @@ -639,7 +663,7 @@ TEST(T1Operations, EmptyRoster) { EXPECT_EQ(vec(r.program->destinations()), v({2})); EXPECT_TRUE(r.program->tunnels().empty()); EXPECT_TRUE(r.plan == (TunnelPlan {2, 5, {}, 0})); - EXPECT_EQ(r.call_source_loss, 5); + EXPECT_EQ(r.call_source_drops, 5); EXPECT_EQ(source_rows(r), (std::vector {{0, 0, 0, 0, 0, 0}})); EXPECT_TRUE(p->records().empty()); for (const auto& z : {p->replace(0, 5), p->evaluate(0, 5), p->forward(0)}) { @@ -700,7 +724,7 @@ TEST(T1Operations, Flags) { EXPECT_TRUE(freed.reservations_changed); } -// The comparison behind the flags (10.4): a tunnel absent from one program counts as (0, 0) there, +// The comparison behind the flags: a tunnel absent from one program counts as (0, 0) there, // so programs of zero requests and holds with different tunnel counts (or none) are no reservation // change, and a program that holds something against none is one. No T1 call changes its tunnel // count, so only this direct check reaches the absent-tunnel branches. @@ -711,7 +735,7 @@ TEST(T1Operations, AbsentTunnelsCountAsZero) { const auto zero1 = one->replace(0, 0).program; // one tunnel, request 0 const auto held1 = one->replace(0, 6).program; // one tunnel holding 6 ASSERT_EQ(zero2->tunnels().size(), 2U); - ASSERT_EQ(held1->tunnels()[0].reserved, 6); + ASSERT_EQ(held1->tunnels()[0].reserved_bandwidth, 6); EXPECT_FALSE(detail::compare_programs(zero2.get(), zero1.get()).reservations); // absent after EXPECT_FALSE(detail::compare_programs(zero1.get(), zero2.get()).reservations); // absent before EXPECT_FALSE(detail::compare_programs(zero2.get(), nullptr).reservations); @@ -724,8 +748,8 @@ TEST(T1Operations, AbsentTunnelsCountAsZero) { // T1 has no incremental place (also 0), and forward needs an installed program. TEST(T1Operations, NoIncrementsAndForwardNeedsAProgram) { auto p = make(one10(), {0}, {1}, t1(1)); - EXPECT_EQ(error_of([&] { (void)p->place(5); }), "T1 does not support incremental placement"); - EXPECT_EQ(error_of([&] { (void)p->place(0); }), "T1 does not support incremental placement"); + EXPECT_EQ(error_of([&] { (void)p->place(5); }), "DistributedTE does not support incremental placement"); + EXPECT_EQ(error_of([&] { (void)p->place(0); }), "DistributedTE does not support incremental placement"); EXPECT_EQ(error_of([&] { (void)p->forward(5); }), "forward requires an installed program"); (void)p->replace(1, 1); p->remove(); @@ -749,9 +773,9 @@ TEST(T1Operations, DesignValidationAndTerminations) { EXPECT_EQ(error_of([&] { (void)ll->replace(5, -1); }), domain); EXPECT_EQ(error_of([&] { (void)ll->replace(5, kL62); }), domain); EXPECT_EQ(error_of([&] { (void)ll->replace(-1, -1); }), "offer must be an integer in [0, 2^62) or permitted +inf"); - EXPECT_EQ(error_of([&] { (void)ll->replace(5, std::optional {}); }), "T1 requires a finite design demand"); - EXPECT_EQ(error_of([&] { (void)ll->replace(INF); }), "T1 requires a finite design demand"); - EXPECT_EQ(error_of([&] { (void)ll->evaluate(INF); }), "T1 requires a finite design demand"); + EXPECT_EQ(error_of([&] { (void)ll->replace(5, std::optional {}); }), "DistributedTE requires a finite design demand"); + EXPECT_EQ(error_of([&] { (void)ll->replace(INF); }), "DistributedTE requires a finite design demand"); + EXPECT_EQ(error_of([&] { (void)ll->evaluate(INF); }), "DistributedTE requires a finite design demand"); auto ly = make(g, {0}, {1}, t1(1, LOSSY)); EXPECT_EQ(error_of([&] { (void)ly->replace(INF, 5); }), "LOSSY forwarding requires a finite offer"); EXPECT_TRUE(ll.ledger->records().empty() && ly.ledger->records().empty()); @@ -766,18 +790,18 @@ TEST(T1Operations, DesignValidationAndTerminations) { auto z = make(g, {0}, {1}, FlowPolicyConfig {.routing = pinned_paths(*g, {0}, {1}, {{0, {0}, 0}}), .admission = a}); const auto r = z->replace(4); EXPECT_EQ(r.termination, Termination::NoActiveWeight); - if (a == LOSSY) EXPECT_EQ(r.call_source_loss, 4); + if (a == LOSSY) EXPECT_EQ(r.call_source_drops, 4); } } -// No certificate for T1 (total_cost, min_cut, cost_distribution absent), and a plan only for -// the tunnel models (T1 here, T2 in tunnels_t2_tests.cpp; absent for the other models, Pinned +// No certificate for T1 (total_cost, min_cut, marginal_cost_curve absent), and a plan only for +// the tunnel models (T1 here, T2 in centralized_te_tunnels_tests.cpp; absent for the other models, Pinned // over a T1 program too). TEST(T1Operations, NoCertificatesAndPlanOnlyForT1) { const auto g = twoh(2, 10); auto p = make(g, {0, 1}, {2}, t1(2)); const auto r = p->replace(INF, 12, OutputOptions {.min_cut = true}); - EXPECT_FALSE(r.total_cost.has_value() || r.min_cut.has_value() || r.cost_distribution.has_value()); + EXPECT_FALSE(r.total_cost.has_value() || r.min_cut.has_value() || r.marginal_cost_curve.has_value()); ASSERT_TRUE(r.plan.has_value()); auto pin = make(g, {0, 1}, {2}, FlowPolicyConfig {.routing = Pinned {r.program, nullptr}}); EXPECT_FALSE(pin->replace(12).plan.has_value()); @@ -788,26 +812,26 @@ TEST(T1Operations, NoCertificatesAndPlanOnlyForT1) { } } -// ---------------------------------------------------------------- the two projections (10.1, 10.3) +// ---------------------------------------------------------------- the two projections -// The two projections of one link: ONE10, N = 1, Lossless replace(4, 6): carried 4, held 6 (allocated [4], -// residual [6], reserved [6], unreserved [4]); then replace(2, 6): placed 2, delivery_delta -2. A -// CostOnly policy on the same ledger then places 6 (the residual): holds are never added to +// The two projections of one link: ONE10, N = 1, Lossless replace(4, 6): carried 4, held 6 (carried [4], +// residual [6], reserved [6], unreserved [4]); then replace(2, 6): call_delivered 2, delivery_delta -2. A +// ShortestPaths policy on the same ledger then places 6 (the residual): holds are never added to // carried load. TEST(LedgerProjections, ELedger) { const auto g = one10(); auto ledger = std::make_shared(g); auto p = make(g, {0}, {1}, t1(1), nullptr, ledger); (void)p->replace(4, 6); - EXPECT_EQ(ledger->allocated(), (Amounts {4})); + EXPECT_EQ(ledger->carried(), (Amounts {4})); EXPECT_EQ(ledger->residual(), (Amounts {6})); EXPECT_EQ(ledger->reserved(), (Amounts {6})); EXPECT_EQ(ledger->unreserved(), (Amounts {4})); auto c = make(g, {0}, {1}, cost_only_config(), nullptr, ledger); - EXPECT_EQ(c->place(10).placed, 6); + EXPECT_EQ(c->place(10).call_delivered, 6); c->remove(); const auto r = p->replace(2, 6); - EXPECT_EQ(r.placed, 2); + EXPECT_EQ(r.call_delivered, 2); EXPECT_EQ(r.delivery_delta, -2); expect_balanced(*ledger, "the two projections of one link"); } @@ -817,24 +841,24 @@ TEST(LedgerProjections, ELedger) { // name unreserved, checked after the residual's. TEST(LedgerProjections, Baselines) { const auto g = one10(); - auto ledger = std::make_shared(g, g->capacity_units(), Amounts {3}); + auto ledger = std::make_shared(g, g->edge_capacity_units(), Amounts {3}); auto p = make(g, {0}, {1}, t1(1), nullptr, ledger); EXPECT_EQ(statuses(*p->replace(4, 4).program), (std::vector {NB})); EXPECT_EQ(ledger->residual(), (Amounts {10})); EXPECT_EQ(ledger->unreserved(), (Amounts {3})); - EXPECT_EQ(error_of([&] { FlowLedger x(g, g->capacity_units(), Amounts {3, 1}); }), - "unreserved has length 2, expected 1 (one entry per edge)"); - EXPECT_EQ(error_of([&] { FlowLedger x(g, g->capacity_units(), Amounts {11}); }), - "unreserved[0] = 11 is outside [0, capacity_units[0] = 10]"); + EXPECT_EQ(error_of([&] { FlowLedger x(g, g->edge_capacity_units(), Amounts {3, 1}); }), + "reservation_baseline has length 2, expected 1 (one entry per edge)"); + EXPECT_EQ(error_of([&] { FlowLedger x(g, g->edge_capacity_units(), Amounts {11}); }), + "reservation_baseline[0] = 11 is outside [0, edge_capacity_units[0] = 10]"); EXPECT_EQ(error_of([&] { FlowLedger x(g, Amounts {11}, Amounts {11}); }), - "residual[0] = 11 is outside [0, capacity_units[0] = 10]"); - // The contract's two-edge cases of the unreserved texts. + "service_baseline[0] = 11 is outside [0, edge_capacity_units[0] = 10]"); + // The two-edge cases of the unreserved texts. const auto two = ordered(2, {{0, 1, 10, 1}, {0, 1, 10, 1}}); - EXPECT_EQ(error_of([&] { FlowLedger x(two, two->capacity_units(), Amounts {1, 2, 3}); }), - "unreserved has length 3, expected 2 (one entry per edge)"); - EXPECT_EQ(error_of([&] { FlowLedger x(two, two->capacity_units(), Amounts {5, 11}); }), - "unreserved[1] = 11 is outside [0, capacity_units[1] = 10]"); - EXPECT_EQ(error_of([&] { FlowLedger x(two, two->capacity_units(), Amounts {10, 0}); }), ""); + EXPECT_EQ(error_of([&] { FlowLedger x(two, two->edge_capacity_units(), Amounts {1, 2, 3}); }), + "reservation_baseline has length 3, expected 2 (one entry per edge)"); + EXPECT_EQ(error_of([&] { FlowLedger x(two, two->edge_capacity_units(), Amounts {5, 11}); }), + "reservation_baseline[1] = 11 is outside [0, edge_capacity_units[1] = 10]"); + EXPECT_EQ(error_of([&] { FlowLedger x(two, two->edge_capacity_units(), Amounts {10, 0}); }), ""); } // remove() releases both projections and clears the program. @@ -843,7 +867,7 @@ TEST(LedgerProjections, RemoveReleasesBoth) { (void)p->replace(4, 6); p->remove(); EXPECT_EQ(p.ledger->reserved(), (Amounts {0})); - EXPECT_EQ(p.ledger->allocated(), (Amounts {0})); + EXPECT_EQ(p.ledger->carried(), (Amounts {0})); EXPECT_EQ(p->program(), nullptr); EXPECT_TRUE(p->records().empty()); p->remove(); // a repeated remove does nothing @@ -864,20 +888,20 @@ TEST(LedgerProjections, OrphansResetAndCopy) { } EXPECT_EQ(ledger->reserved(), (Amounts {6})); ASSERT_EQ(ledger->records().size(), 1U); - EXPECT_EQ(ledger->records().front().reserved_edges, (Pairs {{0, 6}})); + EXPECT_EQ(ledger->records().front().edge_reservations, (Pairs {{0, 6}})); const FlowLedger copy(*ledger); EXPECT_NE(copy.uid(), ledger->uid()); EXPECT_EQ(copy.reserved(), (Amounts {6})); EXPECT_EQ(copy.unreserved(), (Amounts {4})); ASSERT_EQ(copy.records().size(), 1U); - EXPECT_EQ(copy.records().front().reserved_edges, (Pairs {{0, 6}})); + EXPECT_EQ(copy.records().front().edge_reservations, (Pairs {{0, 6}})); EXPECT_EQ(copy.records().front().flow_id.first, copy.uid()); expect_balanced(copy, "the copy"); ledger->reset(); EXPECT_EQ(ledger->reserved(), (Amounts {0})); EXPECT_TRUE(ledger->records().empty()); EXPECT_EQ(copy.reserved(), (Amounts {6})); // the copy owns its holds - ledger->reset(g->capacity_units(), Amounts {3}); + ledger->reset(g->edge_capacity_units(), Amounts {3}); EXPECT_EQ(ledger->unreserved(), (Amounts {3})); EXPECT_EQ(ledger->residual(), (Amounts {10})); ledger->reset(Amounts {7}); @@ -916,7 +940,7 @@ TEST(LedgerProjections, HoldsAreStoredFromTheFirstHold) { fg.reset(); EXPECT_TRUE(detail::LedgerAccess::reserved(fg).empty()); EXPECT_EQ(fg.unreserved(), (Amounts {2, 10})); - FlowLedger given(g, g->capacity_units(), Amounts {1, 7}); + FlowLedger given(g, g->edge_capacity_units(), Amounts {1, 7}); EXPECT_TRUE(detail::LedgerAccess::reserved(given).empty()); EXPECT_EQ(given.reserved(), (Amounts {0, 0})); EXPECT_EQ(given.unreserved(), (Amounts {1, 7})); @@ -946,31 +970,31 @@ TEST(LedgerProjections, AbsentReservationBaselineIsTheCapacities) { } } -// reservation_edge_flows is zeros for a model without holds; an imported T1 +// edge_reservations is zeros for a model without holds; an imported T1 // program books no hold; the bottleneck report reads the service view only. TEST(LedgerProjections, OutputsImportsAndBottleneck) { const auto g = twoh(2, 10); auto c = make(g, {0, 1}, {2}, cost_only_config()); - EXPECT_EQ(*c->place(4, kHolds).reservation_edge_flows, (Amounts {0, 0})); + EXPECT_EQ(*c->place(4, kHolds).edge_reservations, (Amounts {0, 0})); auto p = make(g, {0, 1}, {2}, t1(2, LOSSY)); const auto r = p->replace(12, 12); auto pin = make(g, {0, 1}, {2}, FlowPolicyConfig {.routing = Pinned {r.program, nullptr}, .admission = LOSSY}); const auto q = pin->replace(12, std::nullopt, kHolds); - EXPECT_EQ(*q.reservation_edge_flows, (Amounts {0, 0})); + EXPECT_EQ(*q.edge_reservations, (Amounts {0, 0})); EXPECT_EQ(pin.ledger->reserved(), (Amounts {0, 0})); - for (const auto& rec : pin->records()) EXPECT_TRUE(rec.reserved_edges.empty()); + for (const auto& rec : pin->records()) EXPECT_TRUE(rec.edge_reservations.empty()); // ONE10 held whole (replace(0, 10): unreserved 0) is not a bottleneck: the residual is 10. auto h = make(one10(), {0}, {1}, t1(1)); (void)h->replace(0, 10); EXPECT_EQ(h.ledger->unreserved(), (Amounts {0})); - EXPECT_TRUE(h.ledger->bottleneck(v({0})).empty()); - EXPECT_EQ(*h->replace(0, 10, OutputOptions {.bottleneck = true}).bottleneck, Edges {}); + EXPECT_TRUE(h.ledger->saturated_boundary_edges(v({0})).empty()); + EXPECT_EQ(*h->replace(0, 10, OutputOptions {.saturated_boundary_edges = true}).saturated_boundary_edges, Edges {}); } -// ---------------------------------------------------------------- programs (8.1, 8.4, 8.6) +// ---------------------------------------------------------------- programs -// T1's tunnels (the 6.6 call): a down tunnel has no destination, path or cost, weight 0 -// and no hold; an up one holds its request (8.1); requested 3 each. The program's roster is the +// T1's tunnels (the TWOH call): a down tunnel has no destination, path or cost, weight 0 +// and no hold; an up one holds its request; requested 3 each. The program's roster is the // policy's (every head), its sources and destinations the policy's, equal sources. TEST(TunnelPrograms, T1Fields) { auto p = make(twoh(2, 10), {0, 1}, {2}, t1(2, LOSSY)); @@ -979,21 +1003,21 @@ TEST(TunnelPrograms, T1Fields) { for (std::size_t i = 0; i < 4; ++i) { const auto& t = prog->tunnels()[i]; const bool up = i % 2 == 1; - EXPECT_EQ(t.index, static_cast(i)); + EXPECT_EQ(t.entry_id, static_cast(i)); EXPECT_EQ(t.head, static_cast(i % 2)); EXPECT_EQ(t.local_index, static_cast(i / 2)); EXPECT_EQ(t.status, up ? UP : NB); - EXPECT_EQ(t.requested, 3); - EXPECT_EQ(t.reserved, up ? 3 : 0); + EXPECT_EQ(t.requested_bandwidth, 3); + EXPECT_EQ(t.reserved_bandwidth, up ? 3 : 0); EXPECT_EQ(t.weight, up ? 1 : 0); EXPECT_EQ(t.destination, up ? std::optional {2} : std::nullopt); EXPECT_EQ(t.edges, up ? std::optional {{1}} : std::nullopt); - EXPECT_EQ(t.route_cost, up ? std::optional {1} : std::nullopt); + EXPECT_EQ(t.path_cost, up ? std::optional {1} : std::nullopt); } EXPECT_EQ(vec(prog->sources()), v({0, 1})); EXPECT_EQ(vec(prog->destinations()), v({2})); EXPECT_FALSE(prog->source_weights().has_value()); - EXPECT_EQ(vec(detail::ProgramAccess::data(*prog).roster), v({0, 1})); + EXPECT_EQ(vec(detail::ProgramAccess::data(*prog).reachable_sources), v({0, 1})); // Two-hop tunnels end at the destination, not at the first link's end: DIAM5, N = 2, D = 10 // (requests 5, 5; e2 of 4 is filtered out): tunnel 0 takes e0 e3, tunnel 1 e1 e4, both cost 4. auto d = make(diam5(), {0}, {3}, t1(2)); @@ -1001,7 +1025,7 @@ TEST(TunnelPrograms, T1Fields) { EXPECT_EQ(routes(*two), (std::vector {{0, 3}, {1, 4}})); for (const auto& t : two->tunnels()) { EXPECT_EQ(t.destination, std::optional {3}); - EXPECT_EQ(t.route_cost, std::optional {4}); + EXPECT_EQ(t.path_cost, std::optional {4}); } } @@ -1017,18 +1041,18 @@ TEST(TunnelPrograms, PinnedOverT1ReservesNothing) { const auto down = d->replace(0, 20).program; ASSERT_EQ(statuses(*up), (std::vector {UP})); ASSERT_EQ(statuses(*down), (std::vector {NB})); - EXPECT_EQ(up->tunnels()[0].reserved, 6); - EXPECT_EQ(down->tunnels()[0].requested, 20); + EXPECT_EQ(up->tunnels()[0].reserved_bandwidth, 6); + EXPECT_EQ(down->tunnels()[0].requested_bandwidth, 20); for (const auto& prog : {up, down}) { for (int op = 0; op < 3; ++op) { auto p = make(g, {0}, {1}, FlowPolicyConfig {.routing = Pinned {prog, nullptr}}); const auto r = op == 0 ? p->evaluate(1) : op == 1 ? p->replace(1) : p->place(1); EXPECT_FALSE(r.reservations_changed) << op; EXPECT_FALSE(r.plan.has_value()) << op; - EXPECT_EQ(r.program->tunnels()[0].requested, prog->tunnels()[0].requested) << op; - EXPECT_EQ(r.program->tunnels()[0].reserved, prog->tunnels()[0].reserved) << op; + EXPECT_EQ(r.program->tunnels()[0].requested_bandwidth, prog->tunnels()[0].requested_bandwidth) << op; + EXPECT_EQ(r.program->tunnels()[0].reserved_bandwidth, prog->tunnels()[0].reserved_bandwidth) << op; EXPECT_EQ(p.ledger->reserved(), (Amounts {0})) << op; - for (const auto& rec : p->records()) EXPECT_TRUE(rec.reserved_edges.empty()) << op; + for (const auto& rec : p->records()) EXPECT_TRUE(rec.edge_reservations.empty()) << op; } } } @@ -1038,10 +1062,10 @@ TEST(TunnelPrograms, PinnedOverT1ReservesNothing) { TEST(TunnelPrograms, BuilderWeighsOnlyUpTunnels) { const auto g = twoh(2, 10); const std::vector heads {0, 1}, dests {2}; - std::vector setup(2); - setup[0] = {.slot = 0, .round = 0, .requested = 3, .status = NB}; - setup[1] = {.slot = 1, .round = 0, .requested = 3, .status = UP, .edges = {1}, .cost = 1}; - const auto prog = detail::tunnel_program(*g, heads, dests, heads, std::move(setup), {}, {}); + std::vector setup(2); + setup[0] = {.roster_index = 0, .local_index = 0, .requested_bandwidth = 3, .status = NB}; + setup[1] = {.roster_index = 1, .local_index = 0, .requested_bandwidth = 3, .status = UP, .edges = {1}, .path_cost = 1}; + const auto prog = detail::distributed_te_program(*g, heads, dests, heads, std::move(setup), {}, {}); ASSERT_EQ(prog->tunnels().size(), 2U); EXPECT_EQ(prog->tunnels()[0].weight, 0); EXPECT_EQ(prog->tunnels()[0].edges, std::nullopt); @@ -1060,10 +1084,10 @@ TEST(TunnelPrograms, T1Replay) { auto ly = make(g, {0}, {1}, FlowPolicyConfig {.routing = Pinned {prog, nullptr}, .admission = LOSSY}, &mask); const auto r = ly->replace(13); EXPECT_EQ(rows(r), (Rows {{0, 0, FAILED, 0, 0, 0}, {1, 0, FAILED, 0, 0, 0}, {2, 0, UP, 7, 3, 4}, {3, 0, UP, 6, 3, 3}})); - EXPECT_EQ(r.placed, 6); - EXPECT_EQ(r.call_drops, (Pairs {{1, 7}})); + EXPECT_EQ(r.call_delivered, 6); + EXPECT_EQ(r.call_edge_drops, (Pairs {{1, 7}})); auto ll = make(g, {0}, {1}, FlowPolicyConfig {.routing = Pinned {prog, nullptr}}, &mask); - EXPECT_EQ(ll->replace(13).placed, 6); + EXPECT_EQ(ll->replace(13).call_delivered, 6); // The replay roster comes from the topology basis, not from the surviving tunnels: REPLAY, N = 1, // D = 10: head 0's tunnel e0 fails, but head 0 // still reaches node 2 over the topology (e1, e3): it keeps its share 5 and loses it; head 1 @@ -1075,8 +1099,8 @@ TEST(TunnelPrograms, T1Replay) { const auto m0 = rg->eligibility({}, std::vector {0}); auto replay = make(rg, {0, 1}, {2}, FlowPolicyConfig {.routing = Pinned {rp, nullptr}, .admission = LOSSY}, &m0); const auto x = replay->replace(10); - EXPECT_EQ(x.placed, 5); - EXPECT_EQ(x.call_source_loss, 5); + EXPECT_EQ(x.call_delivered, 5); + EXPECT_EQ(x.call_source_drops, 5); EXPECT_EQ(source_rows(x), (std::vector {{0, 5, 5, 0, 5, 0}, {1, 5, 5, 5, 0, 0}})); EXPECT_EQ(x.termination, Termination::Complete); } @@ -1093,19 +1117,19 @@ TEST(TunnelPrograms, T1Stale) { auto ly = make(g, {0}, {3}, FlowPolicyConfig {.routing = Pinned {prog, dark}, .admission = LOSSY}); const auto r = ly->replace(10); EXPECT_EQ(rows(r), (Rows {{0, 0, UP, 5, 5, 0}, {1, 0, BLACKHOLED, 5, 0, 5}})); - EXPECT_EQ(r.call_drops, (Pairs {{1, 5}})); - EXPECT_EQ(r.placed, 5); + EXPECT_EQ(r.call_edge_drops, (Pairs {{1, 5}})); + EXPECT_EQ(r.call_delivered, 5); auto ll = make(g, {0}, {3}, FlowPolicyConfig {.routing = Pinned {prog, dark}}); - EXPECT_EQ(ll->replace(10).placed, 1); + EXPECT_EQ(ll->replace(10).call_delivered, 1); const auto holds_before = p.ledger->reserved(); const auto f = p->forward(10, dark.get()); EXPECT_EQ(rows(f), rows(r)); - EXPECT_EQ(f.placed, 5); + EXPECT_EQ(f.call_delivered, 5); EXPECT_EQ(p.ledger->reserved(), holds_before); EXPECT_EQ(statuses(*p->program()), (std::vector {UP, UP})); } -// Pinned over the 6.6 program forwards like the live T1 (3.4): 6 +// Pinned over the TWOH call's program forwards like the live T1: 6 // delivered, head 0's 6 lost at the head; the setup-down tunnels keep their status in by_tunnel; // no plan, no hold. TEST(TunnelPrograms, T1DownTunnels) { @@ -1114,8 +1138,8 @@ TEST(TunnelPrograms, T1DownTunnels) { const auto live = p->replace(12, 12); auto pin = make(g, {0, 1}, {2}, FlowPolicyConfig {.routing = Pinned {live.program, nullptr}, .admission = LOSSY}); const auto r = pin->replace(12); - EXPECT_EQ(r.placed, 6); - EXPECT_EQ(r.call_source_loss, 6); + EXPECT_EQ(r.call_delivered, 6); + EXPECT_EQ(r.call_source_drops, 6); EXPECT_EQ(rows(r), rows(live)); EXPECT_FALSE(r.plan.has_value()); EXPECT_EQ(pin.ledger->reserved(), (Amounts {0, 0})); @@ -1130,7 +1154,7 @@ TEST(TunnelPrograms, T1DownTunnels) { const auto x = replay->replace(5); EXPECT_EQ(rows(x), (Rows {{0, 0, NB, 0, 0, 0}, {1, 0, NB, 0, 0, 0}})); EXPECT_EQ(x.termination, Termination::Complete); - EXPECT_EQ(x.call_source_loss, 5); + EXPECT_EQ(x.call_source_drops, 5); } // The other producers' tunnels carry the new fields' plain values: status UP, requested @@ -1140,22 +1164,22 @@ TEST(TunnelPrograms, OtherProducersFields) { auto gl = make(g, {0, 1}, {2}, global_config()); for (const auto& t : gl->place(12).program->tunnels()) { EXPECT_EQ(t.status, UP); - EXPECT_EQ(t.requested, 0); - EXPECT_EQ(t.reserved, 0); - EXPECT_TRUE(t.destination.has_value() && t.edges.has_value() && t.route_cost.has_value()); + EXPECT_EQ(t.requested_bandwidth, 0); + EXPECT_EQ(t.reserved_bandwidth, 0); + EXPECT_TRUE(t.destination.has_value() && t.edges.has_value() && t.path_cost.has_value()); } const auto supplied = pinned_paths(*g, {0, 1}, {2}, {{0, {0}, 1}, {1, {1}, 0}}); for (const auto& t : supplied.program->tunnels()) { EXPECT_EQ(t.status, UP); - EXPECT_EQ(t.requested, 0); - EXPECT_EQ(t.reserved, 0); + EXPECT_EQ(t.requested_bandwidth, 0); + EXPECT_EQ(t.reserved_bandwidth, 0); EXPECT_EQ(t.destination, std::optional {2}); } } // ---------------------------------------------------------------- zero offers and everything masked (E) -// The 6.6 policy with zero offers: replace(0, 12) programs the tunnels and books the +// The TWOH call's policy with zero offers: replace(0, 12) programs the tunnels and books the // holds, four zero records; evaluate(0, 12) the same without publishing; forward(0) keeps program // and holds, recreates the records (new ids), sets no flag. Both admissions; every call Complete. TEST(TunnelZero, T1) { @@ -1163,7 +1187,7 @@ TEST(TunnelZero, T1) { auto p = make(twoh(2, 10), {0, 1}, {2}, t1(2, a)); const auto r = p->replace(0, 12); EXPECT_EQ(r.termination, Termination::Complete); - EXPECT_EQ(r.placed, 0); + EXPECT_EQ(r.call_delivered, 0); EXPECT_EQ(statuses(*r.program), (std::vector {NB, UP, NB, UP})); EXPECT_EQ(p.ledger->reserved(), (Amounts {0, 6})); EXPECT_EQ(entries(p->records()), (std::vector> {0, 1, 2, 3})); @@ -1217,7 +1241,7 @@ TEST(TunnelZero, T1AllMasked) { EXPECT_TRUE(p->records().empty()); } -// Pinned over the 6.6 program. With e1 masked, tunnels 1 and 3 fail and head +// Pinned over the TWOH call's program. With e1 masked, tunnels 1 and 3 fail and head // 1 cannot reach node 2 (it leaves the replay roster); head 0 still can, over e0, but has no up // tunnel: it keeps the whole 12 and loses it. The program has up tunnels and no head can use one: // rule (3), NO_ACTIVE_WEIGHT in both admissions; replace(0) is Complete; four zero records. With @@ -1233,7 +1257,7 @@ TEST(TunnelZero, PinnedT1AllFailedOrNoRoster) { const auto r = pin->replace(12); EXPECT_EQ(r.termination, Termination::NoActiveWeight); if (a == LOSSY) { - EXPECT_EQ(r.call_source_loss, 12); + EXPECT_EQ(r.call_source_drops, 12); EXPECT_EQ(source_rows(r), (std::vector {{0, 12, 12, 0, 12, 0}, {1, 0, 0, 0, 0, 0}})); } EXPECT_EQ(rows(r), (Rows {{0, 0, NB, 0, 0, 0}, {1, 1, FAILED, 0, 0, 0}, {2, 0, NB, 0, 0, 0}, {3, 1, FAILED, 0, 0, 0}})); @@ -1250,100 +1274,101 @@ TEST(TunnelZero, PinnedT1AllFailedOrNoRoster) { // Capacity of T1 is the lossless bound of the tunnels set up for the design // (required and finite); Lossy forwards `offered` (required and finite); the other models reject a -// design; batch_capacity shares nothing between pairs. +// design; evaluate_pairs shares nothing between pairs. TEST(TunnelEvaluators, T1Capacity) { const auto g = par612(); - QueryOptions q {t1(4)}; + EvaluationOptions q {t1(4)}; q.design_demand = Amount {12}; - EXPECT_EQ(capacity(*g, v({0}), v({1}), q).placed, 12); - QueryOptions ly {t1(4, LOSSY)}; + EXPECT_EQ(evaluate_demand(*g, v({0}), v({1}), q).call_delivered, 12); + EvaluationOptions ly {t1(4, LOSSY)}; ly.design_demand = Amount {12}; - ly.offered = Amount {13}; - const auto r = capacity(*g, v({0}), v({1}), ly); - EXPECT_EQ(r.placed, 12); - EXPECT_EQ(r.call_drops, (Pairs {{0, 1}})); + ly.offer = Amount {13}; + const auto r = evaluate_demand(*g, v({0}), v({1}), ly); + EXPECT_EQ(r.call_delivered, 12); + EXPECT_EQ(r.call_edge_drops, (Pairs {{0, 1}})); ASSERT_TRUE(r.plan.has_value()); - EXPECT_EQ(r.plan->reserved_total, 12); - auto err = [&](const QueryOptions& o) { return error_of([&] { (void)capacity(*g, v({0}), v({1}), o); }); }; - for (const auto a : {LOSSLESS, LOSSY}) EXPECT_EQ(err(QueryOptions {t1(4, a)}), "T1 capacity requires design_demand"); - QueryOptions inf {t1(4)}; + EXPECT_EQ(r.plan->total_reserved_bandwidth, 12); + auto err = [&](const EvaluationOptions& o) { return error_of([&] { (void)evaluate_demand(*g, v({0}), v({1}), o); }); }; + for (const auto a : {LOSSLESS, LOSSY}) EXPECT_EQ(err(EvaluationOptions {t1(4, a)}), "DistributedTE evaluation requires design_demand"); + EvaluationOptions inf {t1(4)}; inf.design_demand = std::optional {}; - EXPECT_EQ(err(inf), "T1 requires a finite design demand"); - QueryOptions no_offer {t1(4, LOSSY)}; + EXPECT_EQ(err(inf), "DistributedTE requires a finite design demand"); + EvaluationOptions no_offer {t1(4, LOSSY)}; no_offer.design_demand = Amount {12}; - EXPECT_EQ(err(no_offer), "T1 LOSSY capacity requires finite offered"); - no_offer.offered = std::optional {}; - EXPECT_EQ(err(no_offer), "T1 LOSSY capacity requires finite offered"); - QueryOptions with_offer {t1(4)}; + EXPECT_EQ(err(no_offer), "DistributedTE LOSSY evaluation requires a finite offer"); + no_offer.offer = std::optional {}; // an explicit +inf + EXPECT_EQ(err(no_offer), "offer must be an integer in [0, 2^62)"); + // Lossless with a finite offer: the tunnels' delivery up to it. + EvaluationOptions with_offer {t1(4)}; with_offer.design_demand = Amount {12}; - with_offer.offered = Amount {5}; - EXPECT_EQ(err(with_offer), "T1 LOSSLESS capacity does not accept offered"); - QueryOptions bad {t1(4)}; + with_offer.offer = Amount {5}; + EXPECT_EQ(evaluate_demand(*g, v({0}), v({1}), with_offer).call_delivered, 5); + EvaluationOptions bad {t1(4)}; bad.design_demand = Amount {-1}; EXPECT_EQ(err(bad), "design_demand must be an integer in [0, 2^62) or permitted +inf"); - // The domain of offered comes first. - bad.offered = kL62; - EXPECT_EQ(err(bad), "offered must be an integer in [0, 2^62) or permitted +inf"); + // An explicit offer comes before the design. + bad.offer = kL62; + EXPECT_EQ(err(bad), "offer must be an integer in [0, 2^62)"); for (const auto& c : {cost_only_config(), global_config()}) { - QueryOptions o {c}; + EvaluationOptions o {c}; o.design_demand = Amount {5}; - EXPECT_EQ(err(o), std::string(detail::model_name(c.routing)) + " does not accept design_demand"); + EXPECT_EQ(err(o), std::string(detail::model_class(c.routing)) + " does not accept design_demand"); const std::vector, std::vector>> pairs = {{v({0}), v({1})}}; - EXPECT_EQ(error_of([&] { (void)batch_capacity(*g, pairs, o, {}, 1); }), - std::string(detail::model_name(c.routing)) + " does not accept design_demand"); + EXPECT_EQ(error_of([&] { (void)evaluate_pairs(*g, pairs, o, {}, 1); }), + std::string(detail::model_class(c.routing)) + " does not accept design_demand"); } - QueryOptions pin {FlowPolicyConfig {.routing = pinned_paths(*g, {0}, {1}, {{0, {0}, 1}})}}; + EvaluationOptions pin {FlowPolicyConfig {.routing = pinned_paths(*g, {0}, {1}, {{0, {0}, 1}})}}; pin.design_demand = Amount {5}; EXPECT_EQ(err(pin), "Pinned does not accept design_demand"); // Each pair sets up on a fresh ledger: ONE10, N = 1, design 6, twice the same pair: 10 and 10. const auto one = one10(); - QueryOptions b {t1(1)}; + EvaluationOptions b {t1(1)}; b.design_demand = Amount {6}; const std::vector, std::vector>> pairs = {{v({0}), v({1})}, {v({0}), v({1})}}; for (const std::int32_t workers : {1, 2}) { - const auto rs = batch_capacity(*one, pairs, b, {}, workers); + const auto rs = evaluate_pairs(*one, pairs, b, {}, workers); ASSERT_EQ(rs.size(), 2U); - EXPECT_EQ(rs[0].placed, 10); - EXPECT_EQ(rs[1].placed, 10); + EXPECT_EQ(rs[0].call_delivered, 10); + EXPECT_EQ(rs[1].call_delivered, 10); } } -// sensitivity(X8, [0, 1], 2, T1 N = 1, design 4): baseline 0 +// evaluate_edge_failures(X8, [0, 1], 2, T1 N = 1, design 4): baseline 0 // (head 0 is down and first); deleting e0 takes head 0 out of the roster and head 1's tunnel carries // 8: loss -8; deleting e1: 0. Every allowed link is a candidate (no shortcut), here an edge outside // every route too. TEST(TunnelEvaluators, T1Sensitivity) { - QueryOptions q {t1(1)}; + EvaluationOptions q {t1(1)}; q.design_demand = Amount {4}; for (const std::int32_t workers : {1, 2}) { - const auto s = sensitivity(*x8(), v({0, 1}), v({2}), q, workers); - EXPECT_EQ(s.baseline.placed, 0); + const auto s = evaluate_edge_failures(*x8(), v({0, 1}), v({2}), q, workers); + EXPECT_EQ(s.baseline.call_delivered, 0); std::vector> got; - for (const auto& e : s.entries) got.emplace_back(e.edge, e.loss); + for (const auto& e : s.entries) got.emplace_back(e.edge, e.delivery_reduction); EXPECT_EQ(got, (std::vector> {{0, -8}, {1, 0}})); } const auto g = ordered(3, {{0, 1, 6, 1}, {0, 1, 6, 2}, {2, 0, 5, 1}}); - QueryOptions all {t1(4)}; + EvaluationOptions all {t1(4)}; all.design_demand = Amount {12}; - const auto s = sensitivity(*g, v({0}), v({1}), all, 1); + const auto s = evaluate_edge_failures(*g, v({0}), v({1}), all, 1); std::vector> got; - for (const auto& e : s.entries) got.emplace_back(e.edge, e.loss); + for (const auto& e : s.entries) got.emplace_back(e.edge, e.delivery_reduction); // Deleting e0: the four tunnels set up on e1 alone (two fit: 6 of 3 + 3), the bound 6. EXPECT_EQ(got, (std::vector> {{0, 6}, {1, 6}, {2, 0}})); // A zero offered (Lossy) is Complete and every loss is 0. - QueryOptions zero {t1(1, LOSSY)}; + EvaluationOptions zero {t1(1, LOSSY)}; zero.design_demand = Amount {4}; - zero.offered = Amount {0}; - const auto c0 = capacity(*x8(), v({0, 1}), v({2}), zero); + zero.offer = Amount {0}; + const auto c0 = evaluate_demand(*x8(), v({0, 1}), v({2}), zero); EXPECT_EQ(c0.termination, Termination::Complete); - EXPECT_EQ(c0.placed, 0); - for (const auto& e : sensitivity(*x8(), v({0, 1}), v({2}), zero, 1).entries) EXPECT_EQ(e.loss, 0); - // An Eligibility that excludes every edge: an empty roster, NO_ROUTE, placed 0. + EXPECT_EQ(c0.call_delivered, 0); + for (const auto& e : evaluate_edge_failures(*x8(), v({0, 1}), v({2}), zero, 1).entries) EXPECT_EQ(e.delivery_reduction, 0); + // An Eligibility that excludes every edge: an empty roster, NO_ROUTE, call_delivered 0. const auto gm = x8(); const auto mask = gm->eligibility({}, std::vector {0, 1}); - const auto none = capacity(*gm, v({0, 1}), v({2}), QueryOptions {t1(1), &mask, nullptr, {}, Amount {4}}); + const auto none = evaluate_demand(*gm, v({0, 1}), v({2}), EvaluationOptions {t1(1), &mask, nullptr, {}, Amount {4}}); EXPECT_EQ(none.termination, Termination::NoRoute); - EXPECT_EQ(none.placed, 0); + EXPECT_EQ(none.call_delivered, 0); } // ---------------------------------------------------------------- validation (V) @@ -1352,28 +1377,30 @@ TEST(TunnelEvaluators, T1Sensitivity) { TEST(TunnelValidation, T1Matrix) { const auto g = one10(); FlowLedger fg(g); - auto rejects = [&](const FlowPolicyConfig& c, const std::string& text, DagCache* cache = nullptr) { + auto rejects = [&](const FlowPolicyConfig& c, const std::string& text, ShortestPathCache* cache = nullptr) { EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), c, nullptr, cache); }), text); - EXPECT_TRUE(detail::LedgerAccess::bound_owners(fg).empty()); + EXPECT_TRUE(detail::LedgerAccess::bound_policy_ids(fg).empty()); }; - rejects(t1(2, LOSSLESS, std::nullopt, 0, PathSelection(DET, EdgePriority::Capacity, true)), "T1 requires multipath=False"); - for (const std::optional mp : {std::optional {}, std::optional {false}}) { - EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), t1(2, LOSSLESS, std::nullopt, 0, PathSelection(DET, EdgePriority::Capacity, mp))); }), ""); + // T1 always orders single paths: every tie_break is valid with every parallel_edges (no + // ineffective tie rule), and the snapshot keeps the defaults. + for (const auto tie : {RouteTieBreak::FewerHops, RouteTieBreak::HigherCapacity, RouteTieBreak::HigherAvailableCapacity, + RouteTieBreak::HigherHeadroom}) { + for (const bool parallel_edges : {true, false}) { + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), t1(2, LOSSLESS, std::nullopt, 0, tie, parallel_edges)); }), ""); + } } { FlowPolicy p(fg, v({0}), v({1}), t1(2)); - EXPECT_TRUE(p.config().selection == PathSelection()); - EXPECT_FALSE(p.config().selection->multipath.has_value()); + EXPECT_EQ(std::get(p.config().routing).tie_break, RouteTieBreak::FewerHops); + EXPECT_TRUE(std::get(p.config().routing).parallel_edges); } - rejects({.routing = CapacityAware {Tunnels {2}}, .weights = WeightBasis::Capacity}, "T1 does not accept weights"); - rejects({.routing = CapacityAware {Tunnels {2}}, .edge_weights = std::make_shared>(Amounts {1})}, - "T1 does not accept edge_weights"); - DagCache cache(*g); - rejects(t1(2), "T1 does not use DagCache", &cache); - rejects({.routing = CapacityAware {Tunnels {2, true}}}, "T1 requires an exact tunnel count"); + ShortestPathCache cache(*g); + rejects(t1(2), "DistributedTE does not use ShortestPathCache", &cache); + rejects(t1(0), "DistributedTE does not use ShortestPathCache", &cache); // the cache before the count + rejects({.routing = DistributedTE {TunnelCount {2, true}}}, "DistributedTE requires an exact tunnel count"); + rejects({.routing = DistributedTE {TunnelCount {0, true}}}, "tunnel count must be in [1, 10000]"); // the count first for (const std::int64_t n : {std::int64_t {0}, std::int64_t {10001}, std::int64_t {-1}}) rejects(t1(n), "tunnel count must be in [1, 10000]"); EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), t1(10000)); }), ""); - rejects({.routing = CapacityAware {Tunnels {1}}, .origin = Origin::Optimized}, "T1 requires origin=EQUAL"); EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), t1(2, LOSSY)); }), ""); } @@ -1407,9 +1434,9 @@ TEST(TunnelValidation, TunnelLimit) { FlowLedger fe(edge); EXPECT_EQ(error_of([&] { FlowPolicy p(fe, heads(112871), v({112871}), t1(9513)); }), ""); // The limit at an evaluator, per pair. - QueryOptions q {t1(10000)}; + EvaluationOptions q {t1(10000)}; q.design_demand = Amount {1}; - EXPECT_EQ(error_of([&] { (void)capacity(*big, heads(107375), v({107375}), q); }), + EXPECT_EQ(error_of([&] { (void)evaluate_demand(*big, heads(107375), v({107375}), q); }), "tunnel limit exceeded: 107375 heads x 10000 tunnels > 1073741823"); } @@ -1424,12 +1451,12 @@ TEST(TunnelRanges, OneMaxAndHoldsNearTheBaseline) { auto p = make(g, {0}, {1}, t1(1, LOSSY)); const auto r = p->replace(max, max, kHolds); EXPECT_EQ(statuses(*r.program), (std::vector {UP})); - EXPECT_EQ(r.plan->reserved_total, max); + EXPECT_EQ(r.plan->total_reserved_bandwidth, max); EXPECT_EQ(p.ledger->reserved(), (Amounts {max})); EXPECT_EQ(p.ledger->unreserved(), (Amounts {0})); - EXPECT_EQ(r.placed, max); + EXPECT_EQ(r.call_delivered, max); auto ll = make(g, {0}, {1}, t1(1)); - EXPECT_EQ(ll->replace(INF, max).placed, max); + EXPECT_EQ(ll->replace(INF, max).call_delivered, max); auto ledger = std::make_shared(g); auto a = make(g, {0}, {1}, t1(1), nullptr, ledger); auto b = make(g, {0}, {1}, t1(1), nullptr, ledger); @@ -1442,8 +1469,8 @@ TEST(TunnelRanges, OneMaxAndHoldsNearTheBaseline) { // FAN4MAX (four heads, private links of 2^60 - 1), N = 10000, Lossless replace(2^62 - 4, // 2^62 - 4): 40000 tunnels, all up; each head's share 2^60 - 1 splits as 6975 requests of -// 115292150460685 and 3025 of 115292150460684, which fill each link exactly; reserved_total 2^62 - -// 4; the whole design is carried (6.5: every tunnel up and U <= V). +// 115292150460685 and 3025 of 115292150460684, which fill each link exactly; total_reserved_bandwidth 2^62 - +// 4; the whole design is carried (every tunnel up and U <= V). TEST(TunnelRanges, ManyTunnels) { const Amount cap = (Amount {1} << 60) - 1; const auto g = ordered(5, {{0, 4, cap, 1}, {1, 4, cap, 1}, {2, 4, cap, 1}, {3, 4, cap, 1}}); @@ -1454,60 +1481,116 @@ TEST(TunnelRanges, ManyTunnels) { std::map counts; for (const auto& t : r.program->tunnels()) { EXPECT_EQ(t.status, UP); - ++counts[t.requested]; + ++counts[t.requested_bandwidth]; } EXPECT_EQ(counts, (std::map {{115292150460684, 4 * 3025}, {115292150460685, 4 * 6975}})); - EXPECT_EQ(r.plan->reserved_total, D); + EXPECT_EQ(r.plan->total_reserved_bandwidth, D); EXPECT_EQ(p.ledger->reserved(), (Amounts {cap, cap, cap, cap})); - EXPECT_EQ(r.placed, D); + EXPECT_EQ(r.call_delivered, D); EXPECT_EQ(r.termination, Termination::Complete); } // ---------------------------------------------------------------- property -// The reference's exact Stretch comparison where a careless product overflows: factors far above -// 2^63 with a large or a zero baseline, the shortcut's boundary (f = 2^62 is computed, f = 2^63 -// is above every cost), a factor just above 1 on a baseline near 2^62 and a fractional factor at -// equality. The library's comparison (baseline >= 1, as costs are positive) gives the same. +// The exact CostStretch comparison cost * d <= n * base where a 64-bit product overflows: the +// largest components on large costs and baselines (products near 2^126), equality on both sides of +// 2^62, a factor just above 1 on a baseline near 2^62, a fraction whose binary approximation +// would decide otherwise, and a fractional factor at equality. The reference (the tests' Int128) +// and the library's comparison agree. TEST(T1Reference, StretchComparisonIsExact) { using t1_reference::stretch_admits; constexpr Cost kMax = std::numeric_limits::max(); constexpr Cost p62 = Cost {1} << 62; + constexpr std::int64_t p52 = std::int64_t {1} << 52; + constexpr std::int64_t p61 = std::int64_t {1} << 61; struct Case { Cost cost, base; - double f; + CostStretch f; bool admits; }; const std::vector cases { - {Cost {1} << 60, Cost {1} << 60, std::ldexp(1.0, 80), true}, // 2^60 <= 2^140 - {kMax, Cost {1} << 60, std::ldexp(1.0, 120), true}, - {kMax, 1, std::ldexp(1.0, 63), true}, // 2^63 - 1 < 2^63 - {p62, 1, std::ldexp(1.0, 62), true}, // equality - {p62 + 1, 1, std::ldexp(1.0, 62), false}, - {kMax, p62, std::ldexp(1.0, 40), true}, - {kMax, Cost {1} << 22, std::ldexp(1.0, 40), false}, // 2^62 < 2^63 - 1 - {p62 + 1022, p62 - 1, 1.0 + std::ldexp(1.0, -52), true}, // f * base = 2^62 + 1023 - 2^-52 - {p62 + 1023, p62 - 1, 1.0 + std::ldexp(1.0, -52), false}, - {3, 2, 1.5, true}, - {4, 2, 1.5, false}, + {Cost {1} << 60, Cost {1} << 60, CostStretch(kMax), true}, + {kMax, Cost {1} << 60, CostStretch(kMax), true}, + {kMax, 1, CostStretch(kMax), true}, // equality at 2^63 - 1 + {kMax, kMax, CostStretch(kMax, kMax - 1), true}, // products near 2^126 + {kMax, kMax - 2, CostStretch(kMax - 1, kMax - 2), false}, // M (M - 2) > (M - 1)(M - 2), M = 2^63 - 1 + {p62, 1, CostStretch(p62), true}, // equality + {p62 + 1, 1, CostStretch(p62), false}, + {kMax, p62, CostStretch(std::int64_t {1} << 40), true}, + {kMax, Cost {1} << 22, CostStretch(std::int64_t {1} << 40), false}, // 2^62 < 2^63 - 1 + {p62 + 1022, p62 - 1, CostStretch(p52 + 1, p52), true}, // f * base = 2^62 + 1023 - 2^-52 + {p62 + 1023, p62 - 1, CostStretch(p52 + 1, p52), false}, + {(Cost {1} << 60) + 1, Cost {1} << 60, CostStretch(p61 + 1, p61), false}, // 2^121 + 2^61 > 2^121 + 2^60 + {6, 5, CostStretch(6, 5), true}, // the binary value of 1.2 times 5 is below 6 + {3, 2, CostStretch(3, 2), true}, + {4, 2, CostStretch(3, 2), false}, }; for (const auto& c : cases) { - EXPECT_EQ(stretch_admits(c.cost, c.base, c.f), c.admits) << c.cost << " " << c.base << " " << c.f; - EXPECT_EQ(detail::stretch_le(c.cost, c.base, c.f), c.admits) << c.cost << " " << c.base << " " << c.f; + const std::string where = std::to_string(c.cost) + " " + std::to_string(c.base) + " " + std::to_string(c.f.numerator()) + + "/" + std::to_string(c.f.denominator()); + EXPECT_EQ(stretch_admits(c.cost, c.base, c.f), c.admits) << where; + EXPECT_EQ(detail::stretch_le(c.cost, c.base, c.f.numerator(), c.f.denominator()), c.admits) << where; + } + // A zero baseline admits only a zero cost, whatever the factor. + EXPECT_TRUE(stretch_admits(0, 0, CostStretch(kMax))); + EXPECT_FALSE(stretch_admits(1, 0, CostStretch(kMax))); + EXPECT_TRUE(detail::stretch_le(0, 0, kMax, 1)); + EXPECT_FALSE(detail::stretch_le(1, 0, kMax, 1)); +} + +// The ceiling through the public calls, with products of about 2^64 to 2^65: two parallel links +// 0 -> 1 of capacity 1, costs B = 2^32 (the shortest) and C. With C = 2^32 + 1 and +// f = 2^32 / (2^32 - 1), C * den = 2^64 - 1 <= 2^64 = num * B: admitted (the low 64 bits alone say +// 2^64 - 1 > 0). With C = 2^33 and f = (2^32 + 2) / (2^32 + 1), C * den = 2^65 + 2^33 > 2^64 + 2^33: +// refused (the low 64 bits alone are equal). T1's second tunnel and ksp's second path follow. +TEST(CostStretch, CeilingProductsBeyond64Bits) { + constexpr Cost b = Cost {1} << 32; + struct Case { + Cost c; + CostStretch f; + bool admitted; + }; + for (const Case& x : {Case {b + 1, CostStretch(b, b - 1), true}, Case {2 * b, CostStretch(b + 2, b + 1), false}}) { + const auto g = ordered(2, {{0, 1, 1, b}, {0, 1, 1, x.c}}); + KspOptions o(2); + o.cost_ceiling = x.f; + std::vector costs; + for (const auto& [cost, path] : ksp(*g, 0, 1, o)) costs.push_back(cost); + EXPECT_EQ(costs, x.admitted ? (std::vector {b, x.c}) : (std::vector {b})) << x.c; + auto p = make(g, {0}, {1}, t1(2, LOSSLESS, CostCeiling {x.f})); + const auto r = p->replace(2, 2); + ASSERT_TRUE(r.program); + std::vector statuses; + for (const auto& t : r.program->tunnels()) statuses.push_back(t.status); + EXPECT_EQ(statuses, (std::vector {UP, x.admitted ? UP : CC})) << x.c; + EXPECT_EQ(r.call_delivered, x.admitted ? 2 : 1) << x.c; + } +} + +// The C++ CostStretch is one reduced fraction (R1): 12/10 is 6/5, the lowest numerator stays as +// it is (no int64 negation is needed), and a denominator below 1 is an invalid argument. +TEST(CostStretch, Reduction) { + EXPECT_EQ(CostStretch(12, 10), CostStretch(6, 5)); + EXPECT_EQ(CostStretch(12, 10).numerator(), 6); + EXPECT_EQ(CostStretch(12, 10).denominator(), 5); + const CostStretch low(std::numeric_limits::min()); + EXPECT_EQ(low.numerator(), std::numeric_limits::min()); + EXPECT_EQ(low.denominator(), 1); + EXPECT_EQ(CostStretch(std::numeric_limits::min(), 4).numerator(), -(std::int64_t {1} << 61)); + EXPECT_EQ(CostStretch(-6, 4), CostStretch(-3, 2)); + EXPECT_EQ(CostStretch(0, 7), CostStretch(0)); + for (const std::int64_t d : {std::int64_t {0}, std::int64_t {-2}}) { + EXPECT_EQ(error_of([&] { (void)CostStretch(1, d); }), "CostStretch fraction denominator must be in [1, 2^63)") << d; } - // A zero baseline admits only a zero cost, whatever the factor (the reference only). - EXPECT_TRUE(stretch_admits(0, 0, std::ldexp(1.0, 120))); - EXPECT_FALSE(stretch_admits(1, 0, std::ldexp(1.0, 120))); - EXPECT_FALSE(stretch_admits(1, 0, std::ldexp(1.0, 30))); } // Random small graphs (costs 1 to 4, capacities 0 to 6, one or two heads and -// destinations, a node or edge mask, every selection field T1 reads, the three ceilings, a search +// destinations, a node or edge mask, every tie_break and parallel_edges, the three ceilings, a search // minimum, preloaded service and reservation baselines, another owner's holds and another owner's // carried load) against t1_reference (test_utils.hpp): the roster, every tunnel's request, status // and path, the holds per edge (the up requests, within the reservation baseline), the lossless // bound on the service view; the setup does not depend on the offer; when every tunnel is up and U -// <= V on every link, D itself is admitted (6.5); Lossy accounting and per-record conservation. +// <= V on every link, D itself is admitted; Lossy accounting and per-record conservation. TEST(T1Property, SetupAndBoundAgainstTheReference) { std::mt19937 rng(20261018); auto below = [&](int k) { return static_cast(rng() % static_cast(k)); }; @@ -1534,20 +1617,25 @@ TEST(T1Property, SetupAndBoundAgainstTheReference) { default: break; } const Eligibility* elig = mask ? &*mask : nullptr; - const t1_reference::Selection rs {below(2) == 0, std::vector {EdgePriority::Residual, EdgePriority::Capacity, - EdgePriority::Headroom}[static_cast(below(3))], - below(3) != 0}; + const bool prefer = below(2) == 0; + const RouteTieBreak higher = std::vector {RouteTieBreak::HigherAvailableCapacity, RouteTieBreak::HigherCapacity, + RouteTieBreak::HigherHeadroom}[static_cast(below(3))]; + const t1_reference::Selection rs {prefer ? higher : RouteTieBreak::FewerHops, below(3) != 0}; std::optional ceiling; switch (below(5)) { - case 0: ceiling = Absolute {1 + below(8)}; break; - case 1: ceiling = Stretch {std::vector {1.0, 1.2, 1.5, 2.0}[static_cast(below(4))]}; break; + case 0: ceiling = AbsoluteCost {1 + below(8)}; break; + case 1: { + const std::pair factors[4] = {{1, 1}, {6, 5}, {3, 2}, {2, 1}}; + const auto [n, d] = factors[static_cast(below(4))]; + ceiling = CostStretch(n, d); + break; + } default: break; } const Amount minimum = below(4) == 0 ? below(3) : 0; const std::int64_t N = 1 + below(3); const Amount D = below(13); - const auto selection = PathSelection(rs.prefer ? PHP : DET, rs.priority, std::nullopt, rs.multi_edge); - std::vector service(g->capacity_units().begin(), g->capacity_units().end()); + std::vector service(g->edge_capacity_units().begin(), g->edge_capacity_units().end()); std::vector reservation = service; if (below(2) == 0) { for (auto& x : service) x = x == 0 ? 0 : below(static_cast(x) + 1); @@ -1574,7 +1662,7 @@ TEST(T1Property, SetupAndBoundAgainstTheReference) { s.load = std::make_unique(*s.ledger, src, dst, cost_only_config()); (void)s.load->place(other_d); } - s.p = std::make_unique(*s.ledger, src, dst, t1(N, a, ceiling, minimum, selection), elig); + s.p = std::make_unique(*s.ledger, src, dst, t1(N, a, ceiling, minimum, rs.tie_break, rs.parallel_edges), elig); return s; }; const std::string where = "trial " + std::to_string(trial); @@ -1585,27 +1673,27 @@ TEST(T1Property, SetupAndBoundAgainstTheReference) { const auto held_before = s.ledger->reserved(); std::vector dests_ok; for (NodeId d : dst) { - if (elig == nullptr || elig->node_ok(d)) dests_ok.push_back(d); + if (elig == nullptr || elig->allows_node(d)) dests_ok.push_back(d); } const auto heads = t1_reference::roster(*g, elig, src, dests_ok); if (heads.empty()) continue; const auto want = t1_reference::setup(*g, elig, heads, dests_ok, rs, ceiling, minimum, D, N, U); const auto r = s.p->replace(INF, D); - ASSERT_EQ(vec(detail::ProgramAccess::data(*r.program).roster), heads) << where; + ASSERT_EQ(vec(detail::ProgramAccess::data(*r.program).reachable_sources), heads) << where; ASSERT_EQ(r.program->tunnels().size(), want.size()) << where; std::vector sum(U.size(), 0); bool all_up = true; for (std::size_t i = 0; i < want.size(); ++i) { const auto& t = r.program->tunnels()[i]; EXPECT_EQ(t.head, want[i].head) << where << " tunnel " << i; - EXPECT_EQ(t.requested, want[i].request) << where << " tunnel " << i; + EXPECT_EQ(t.requested_bandwidth, want[i].request) << where << " tunnel " << i; EXPECT_EQ(t.status, want[i].status) << where << " tunnel " << i; EXPECT_EQ(t.edges.value_or(Edges {}), want[i].path) << where << " tunnel " << i; if (t.status == UP) { ++up; for (EdgeId e : *t.edges) { - sum[static_cast(e)] += t.requested; - EXPECT_GE(U[static_cast(e)], std::max(t.requested, minimum)) << where; // it passed its filter + sum[static_cast(e)] += t.requested_bandwidth; + EXPECT_GE(U[static_cast(e)], std::max(t.requested_bandwidth, minimum)) << where; // it passed its filter } } else { all_up = false; @@ -1620,30 +1708,30 @@ TEST(T1Property, SetupAndBoundAgainstTheReference) { } expect_balanced(*s.ledger, where); const Amount bound = t1_reference::lossless_bound(heads.size(), want, V); - EXPECT_EQ(r.placed, bound) << where; + EXPECT_EQ(r.call_delivered, bound) << where; bounded += bound > 0 ? 1 : 0; // The setup does not depend on the offer (evaluate releases the policy's own holds). const auto e = s.p->evaluate(below(9), D); EXPECT_EQ(routes(*e.program), routes(*r.program)) << where; EXPECT_EQ(statuses(*e.program), statuses(*r.program)) << where; - // 6.5: every tunnel up and U <= V on every link: D is carried without loss. + // Every tunnel up and U <= V on every link: D is carried without loss. bool covered = all_up; for (std::size_t x = 0; covered && x < U.size(); ++x) covered = U[x] <= V[x]; if (covered) { - EXPECT_EQ(s.p->evaluate(D, D).placed, D) << where; + EXPECT_EQ(s.p->evaluate(D, D).call_delivered, D) << where; ++design_carried; } - preferred += rs.prefer ? 1 : 0; - collapsed += rs.multi_edge ? 0 : 1; + preferred += rs.prefer() ? 1 : 0; + collapsed += rs.parallel_edges ? 0 : 1; // Lossy: the same setup; the accounting and every record's conservation. auto ly = build(LOSSY); const Amount offer = below(15); const auto lr = ly.p->replace(offer, D); EXPECT_EQ(routes(*lr.program), routes(*r.program)) << where; Amount drops = 0; - for (const auto& [x, d] : lr.drops) drops += lo(d); + for (const auto& [x, d] : lr.edge_drops) drops += lo(d); EXPECT_EQ(lo(lr.offered), offer) << where; - EXPECT_EQ(lo(lr.source_loss) + drops + lr.delivered, offer) << where; + EXPECT_EQ(lo(lr.source_drops) + drops + lr.delivered, offer) << where; dropped += drops > 0 ? 1 : 0; for (const auto& rec : ly.p->records()) (void)expect_conserved(*g, rec, where); expect_balanced(*ly.ledger, where); diff --git a/tests/cpp/eligibility_tests.cpp b/tests/cpp/eligibility_tests.cpp index 66ab803..a6193fe 100644 --- a/tests/cpp/eligibility_tests.cpp +++ b/tests/cpp/eligibility_tests.cpp @@ -39,8 +39,8 @@ TEST(Eligibility, ExcludedNodeExcludesIncidentEdges) { EXPECT_EQ(flags(el.node_allowed()), (std::vector{1, 0, 1, 1})); auto allowed_in = to_input(g, std::vector(el.edge_allowed().begin(), el.edge_allowed().end())); EXPECT_EQ(std::vector(allowed_in.begin(), allowed_in.end()), (std::vector{0, 0, 1, 0, 1})); - EXPECT_FALSE(el.edge_ok(inv[0])); - EXPECT_TRUE(el.edge_ok(inv[2])); + EXPECT_FALSE(el.allows_edge(inv[0])); + EXPECT_TRUE(el.allows_edge(inv[2])); } TEST(Eligibility, ExcludedEdgesDuplicatesAndOrder) { @@ -52,8 +52,8 @@ TEST(Eligibility, ExcludedEdgesDuplicatesAndOrder) { EXPECT_EQ(flags(el.node_allowed()), (std::vector{1, 1, 0, 1})); int allowed = 0; for (EdgeId e = 0; e < 4; ++e) { - const bool excluded = e == 0 || e == 2 || g.edge_dst()[static_cast(e)] == 2; - EXPECT_EQ(el.edge_ok(e), !excluded) << e; + const bool excluded = e == 0 || e == 2 || g.edge_destinations()[static_cast(e)] == 2; + EXPECT_EQ(el.allows_edge(e), !excluded) << e; allowed += excluded ? 0 : 1; } EXPECT_EQ(allowed, 1); // both answers are expected diff --git a/tests/cpp/fault_injection.hpp b/tests/cpp/fault_injection.hpp index de8f020..9d843d2 100644 --- a/tests/cpp/fault_injection.hpp +++ b/tests/cpp/fault_injection.hpp @@ -57,7 +57,7 @@ void expect_removal_and_release_allocate_nothing(const FlowLedger& fg, std::uniq ASSERT_EQ(held.bound.size(), 1U) << where; EXPECT_FALSE(fails_at(0, [&] { p.reset(); })) << where; const LedgerState orphaned = ledger_state(fg); - EXPECT_EQ(orphaned.allocated, held.allocated) << where; + EXPECT_EQ(orphaned.carried, held.carried) << where; EXPECT_EQ(orphaned.records.size(), held.records.size()) << where; EXPECT_TRUE(orphaned.bound.empty()) << where; EXPECT_EQ(orphaned.orphans, held.bound) << where; diff --git a/tests/cpp/flow_ledger_fault_tests.cpp b/tests/cpp/flow_ledger_fault_tests.cpp index 88651e7..7826160 100644 --- a/tests/cpp/flow_ledger_fault_tests.cpp +++ b/tests/cpp/flow_ledger_fault_tests.cpp @@ -1,8 +1,8 @@ -// Allocation-failure atomicity of the ledger and of a one-bundle Pinned policy's transaction. +// Allocation-failure atomicity of the ledger and of a one-route Pinned policy's transaction. // The fault-injection executable replaces the global operator new so that one chosen allocation // throws std::bad_alloc (fault_injection.cpp). Every operation is swept over every allocation it // makes: after each injected failure the ledger (aggregate, residual, every record field, bound -// and orphaned owners, next FlowId) and the policy's epoch state (requested, +inf, placed demand, +// and orphaned owners, next FlowId) and the policy's epoch state (requested, +inf, delivered(), // and its flow's id, route cost and plan: route, members, weights) must equal their state before // the call, the per-thread scratch must not be poisoned (a clean retry gives the reference // result), and remove() must leave the state the reference's own remove() leaves (the policy's @@ -31,7 +31,7 @@ #include "netgraph/core/detail/ledger_access.hpp" #include "netgraph/core/detail/node_map.hpp" -#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/detail/route_builders.hpp" #include "netgraph/core/flow_ledger.hpp" #include "fault_injection.hpp" #include "route_policy.hpp" @@ -43,28 +43,28 @@ using detail::LedgerAccess; namespace { -// The policies on one route the sweeps run: Global with the route as its support, and Pinned over +// The policies on one route the sweeps run: CentralizedTE with the route as its support, and Pinned over // the route as a supplied split route under each kernel, weight basis and admission. struct Kernel { std::string name; Admission admission; - std::function)> config; + std::function)> config; }; const std::vector& kernels() { - using D = std::shared_ptr; - auto split = [](FlowPlacement placement, Admission admission, WeightBasis weights) { + using D = std::shared_ptr; + auto split = [](RouteAllocation placement, Admission admission, WeightBasis weights) { return [=](const FlowLedger& fg, NodeId s, NodeId d, D dag) { return split_route(fg, s, d, std::move(dag), placement, admission, weights); }; }; static const std::vector all = { {"global support", Admission::Lossless, [](const FlowLedger&, NodeId, NodeId, D dag) { return on_support(std::move(dag)); }}, - {"weighted snapshot", Admission::Lossless, split(FlowPlacement::Weighted, Admission::Lossless, WeightBasis::ResidualSnapshot)}, - {"weighted capacity", Admission::Lossless, split(FlowPlacement::Weighted, Admission::Lossless, WeightBasis::Capacity)}, - {"equal balanced", Admission::Lossless, split(FlowPlacement::EqualBalanced, Admission::Lossless, WeightBasis::Capacity)}, - {"equal balanced lossy", Admission::Lossy, split(FlowPlacement::EqualBalanced, Admission::Lossy, WeightBasis::Capacity)}, - {"weighted capacity lossy", Admission::Lossy, split(FlowPlacement::Weighted, Admission::Lossy, WeightBasis::Capacity)}, + {"weighted snapshot", Admission::Lossless, split(RouteAllocation::Weighted, Admission::Lossless, WeightBasis::ResidualSnapshot)}, + {"weighted capacity", Admission::Lossless, split(RouteAllocation::Weighted, Admission::Lossless, WeightBasis::Capacity)}, + {"equal balanced", Admission::Lossless, split(RouteAllocation::Equal, Admission::Lossless, WeightBasis::Capacity)}, + {"equal balanced lossy", Admission::Lossy, split(RouteAllocation::Equal, Admission::Lossy, WeightBasis::Capacity)}, + {"weighted capacity lossy", Admission::Lossy, split(RouteAllocation::Weighted, Admission::Lossy, WeightBasis::Capacity)}, }; return all; } @@ -87,7 +87,7 @@ std::vector cases() { }; } -// One scenario: a third party's 1-unit EqualBalanced placement on the same bundle, then the +// One scenario: a third party's 1-unit Equal placement on the same route, then the // policy's earlier calls, then the call under test. struct Scenario { std::vector> before; @@ -119,23 +119,23 @@ TEST(LedgerFaults, TheSweepComparatorsCompareEveryField) { const LedgerState st = ledger_state(fg); ASSERT_EQ(st.records.size(), 1U); const FlowRecord& rec = st.records.front(); - ASSERT_TRUE(rec.bundle != nullptr); + ASSERT_TRUE(rec.route != nullptr); ASSERT_TRUE(same_record(rec, rec)); - const auto other_bundle = all_edges(*g); - ASSERT_FALSE(*other_bundle == *rec.bundle); + const auto other_route = all_edges(*g); + ASSERT_FALSE(*other_route == *rec.route); const std::vector> records = { [](auto& x) { ++x.flow_id.second; }, - [](auto& x) { ++x.owner; }, + [](auto& x) { ++x.policy_id; }, [](auto& x) { x.sources.push_back(1); }, [](auto& x) { x.destinations.push_back(1); }, [](auto& x) { x.admission = Admission::Lossy; }, - [&](auto& x) { x.bundle = other_bundle; }, - [](auto& x) { ++x.route_cost; }, + [&](auto& x) { x.route = other_route; }, + [](auto& x) { ++x.min_route_cost; }, [](auto& x) { x.offered = Counter128 {}; }, [](auto& x) { ++x.delivered; }, - [](auto& x) { x.edges.emplace_back(2, 1); }, - [](auto& x) { x.drops.emplace_back(2, Counter128 {}); }, - [](auto& x) { x.reserved_edges.emplace_back(2, 1); }, + [](auto& x) { x.edge_flows.emplace_back(2, 1); }, + [](auto& x) { x.edge_drops.emplace_back(2, Counter128 {}); }, + [](auto& x) { x.edge_reservations.emplace_back(2, 1); }, }; ASSERT_EQ(rec.admission, Admission::Lossless); ASSERT_FALSE(rec.offered.has_value()); @@ -154,7 +154,7 @@ TEST(LedgerFaults, TheSweepComparatorsCompareEveryField) { } EXPECT_EQ(failures_of([&] { expect_same(st, st, "same"); }), 0); const std::vector> states = { - [](auto& x) { ++x.allocated[0]; }, + [](auto& x) { ++x.carried[0]; }, [](auto& x) { ++x.residual[0]; }, [](auto& x) { ++x.reserved[0]; }, [](auto& x) { ++x.unreserved[0]; }, @@ -169,14 +169,14 @@ TEST(LedgerFaults, TheSweepComparatorsCompareEveryField) { states[k](x); EXPECT_GT(failures_of([&] { expect_same(x, st, "state"); }), 0) << "ledger field " << k; } - ASSERT_TRUE(r.edge_flows.has_value() && r.residual.has_value() && r.bottleneck.has_value()); + ASSERT_TRUE(r.edge_flows.has_value() && r.residual.has_value() && r.saturated_boundary_edges.has_value()); EXPECT_EQ(failures_of([&] { expect_same(r, r, "same"); }), 0); const std::vector> results = { - [](auto& x) { ++x.placed; }, - [](auto& x) { x.remaining = Amount {1}; }, + [](auto& x) { ++x.call_delivered; }, + [](auto& x) { x.call_undelivered = Amount {1}; }, [](auto& x) { ++x.delivery_delta; }, - [](auto& x) { x.call_drops.emplace_back(2, 1); }, - [](auto& x) { ++x.call_source_loss; }, + [](auto& x) { x.call_edge_drops.emplace_back(2, 1); }, + [](auto& x) { ++x.call_source_drops; }, [](auto& x) { x.termination = Termination::NoRoute; }, [](auto& x) { x.routes_changed = !x.routes_changed; }, [](auto& x) { x.weights_changed = !x.weights_changed; }, @@ -187,23 +187,23 @@ TEST(LedgerFaults, TheSweepComparatorsCompareEveryField) { [](auto& x) { ++x.admitted.lo; }, [](auto& x) { ++x.delivered; }, [](auto& x) { x.unadmitted.reset(); }, - [](auto& x) { ++x.source_loss.lo; }, - [](auto& x) { x.drops.emplace_back(2, Counter128 {0, 1}); }, + [](auto& x) { ++x.source_drops.lo; }, + [](auto& x) { x.edge_drops.emplace_back(2, Counter128 {0, 1}); }, [](auto& x) { x.by_source.emplace_back(); }, [](auto& x) { ++x.by_source[0].delivered; }, [](auto& x) { x.total_cost = Counter128 {0, 1}; }, - [](auto& x) { x.cost_distribution = std::vector> {{9, 1}}; }, + [](auto& x) { x.marginal_cost_curve = std::vector> {{9, 1}}; }, [](auto& x) { x.edge_flows->push_back(0); }, [](auto& x) { x.residual->push_back(0); }, - [](auto& x) { x.bottleneck->push_back(0); }, - [](auto& x) { x.reservation_edge_flows = std::vector {0}; }, + [](auto& x) { x.saturated_boundary_edges->push_back(0); }, + [](auto& x) { x.edge_reservations = std::vector {0}; }, [](auto& x) { x.min_cut = std::vector {0}; }, }; - ASSERT_NE(r.remaining, std::optional {1}); + ASSERT_NE(r.call_undelivered, std::optional {1}); ASSERT_NE(r.termination, Termination::NoRoute); - ASSERT_FALSE(r.cost_distribution.has_value()); // CostOnly: Global's curve only + ASSERT_FALSE(r.marginal_cost_curve.has_value()); // ShortestPaths: CentralizedTE's curve only ASSERT_FALSE(r.min_cut.has_value()); - ASSERT_FALSE(r.offered.has_value() || r.total_cost.has_value()); // Lossless CostOnly EqualBalanced + ASSERT_FALSE(r.offered.has_value() || r.total_cost.has_value()); // Lossless ShortestPaths Equal ASSERT_TRUE(r.requested.has_value() && r.unadmitted.has_value() && !r.by_source.empty()); for (std::size_t k = 0; k < results.size(); ++k) { PlacementResult x = r; @@ -220,7 +220,7 @@ TEST(LedgerFaults, TheSweepComparatorsCompareEveryField) { [](auto& x) { ++x.offered.lo; }, [](auto& x) { x.infinite = !x.infinite; }, [](auto& x) { x.prepared = !x.prepared; }, - [](auto& x) { ++x.placed; }, + [](auto& x) { ++x.delivered; }, [](auto& x) { if (!x.curve) x.curve.emplace(); x.curve->emplace_back(9, 1); @@ -230,7 +230,7 @@ TEST(LedgerFaults, TheSweepComparatorsCompareEveryField) { [](auto& x) { x.program.members.emplace_back(); }, [](auto& x) { x.plan = TunnelPlan {}; }, [](auto& x) { x.support.push_back(0); }, - [](auto& x) { x.head_lost.emplace_back(); }, + [](auto& x) { x.source_drops_by_source.emplace_back(); }, [](auto& x) { x.by_tunnel.emplace_back(); }, [](auto& x) { x.cohorts.emplace_back(); }, [](auto& x) { ++x.cohorts[0][0].id; }, @@ -248,24 +248,24 @@ TEST(LedgerFaults, TheSweepComparatorsCompareEveryField) { // record (the copy is not const, so writing through the borrowed views is defined). p.reset(); EXPECT_EQ(failures_of([&] { expect_balanced(fg, "balanced"); }), 0); - const EdgeId e = rec.edges.front().first; + const EdgeId e = rec.edge_flows.front().first; const auto ei = static_cast(e); const std::vector>> ledgers = { {"aggregate above the sum of the records", - [&](FlowLedger& x) { ++const_cast(detail::LedgerAccess::allocated(x)[ei]); }}, + [&](FlowLedger& x) { ++const_cast(detail::LedgerAccess::carried(x)[ei]); }}, {"record and aggregate above the baseline", [&](FlowLedger& x) { - const Amount over = detail::LedgerAccess::baseline(x)[ei] + 1 - detail::LedgerAccess::allocated(x)[ei]; - const_cast(detail::LedgerAccess::allocated(x)[ei]) += over; + const Amount over = detail::LedgerAccess::baseline(x)[ei] + 1 - detail::LedgerAccess::carried(x)[ei]; + const_cast(detail::LedgerAccess::carried(x)[ei]) += over; auto& live = const_cast(detail::LedgerAccess::live(x, rec.flow_id.second)); - for (auto& [edge, amount] : live.edges) amount += edge == e ? over : 0; + for (auto& [edge, amount] : live.edge_flows) amount += edge == e ? over : 0; }}, {"record and aggregate below zero", [&](FlowLedger& x) { - const Amount under = detail::LedgerAccess::allocated(x)[ei] + 1; - const_cast(detail::LedgerAccess::allocated(x)[ei]) -= under; + const Amount under = detail::LedgerAccess::carried(x)[ei] + 1; + const_cast(detail::LedgerAccess::carried(x)[ei]) -= under; auto& live = const_cast(detail::LedgerAccess::live(x, rec.flow_id.second)); - for (auto& [edge, amount] : live.edges) amount -= edge == e ? under : 0; + for (auto& [edge, amount] : live.edge_flows) amount -= edge == e ? under : 0; }}, {"holds above the sum of the records", [&](FlowLedger& x) { ++detail::LedgerAccess::reserved_storage(x)[ei]; }}, {"record and holds above the reservation baseline", @@ -273,13 +273,13 @@ TEST(LedgerFaults, TheSweepComparatorsCompareEveryField) { const Amount over = detail::LedgerAccess::reservation_baseline(x)[ei] + 1; detail::LedgerAccess::reserved_storage(x)[ei] += over; auto& live = const_cast(detail::LedgerAccess::live(x, rec.flow_id.second)); - live.reserved_edges.emplace_back(e, over); + live.edge_reservations.emplace_back(e, over); }}, {"record and holds below zero", [&](FlowLedger& x) { detail::LedgerAccess::reserved_storage(x)[ei] -= 1; auto& live = const_cast(detail::LedgerAccess::live(x, rec.flow_id.second)); - live.reserved_edges.emplace_back(e, -1); + live.edge_reservations.emplace_back(e, -1); }}, }; for (const auto& [name, breaks] : ledgers) { @@ -353,10 +353,10 @@ TEST(LedgerFaults, EveryAllocationOfAPlacementFailsAtomically) { // A Lossy program forwarding needs a finite offer (no first-hop experiment). if (k.admission == Admission::Lossy && !sc.call.has_value()) continue; const std::string where = c.name + " " + k.name + " " + sc.name; - // A third party's 1-unit EqualBalanced placement on the same bundle, then the policy's + // A third party's 1-unit Equal placement on the same route, then the policy's // earlier calls. const auto setup = [&](FlowLedger& fg) { - auto third = std::make_shared(fg, c.src, c.dst, split_route(fg, c.src, c.dst, dag, FlowPlacement::EqualBalanced, Admission::Lossless)); + auto third = std::make_shared(fg, c.src, c.dst, split_route(fg, c.src, c.dst, dag, RouteAllocation::Equal, Admission::Lossless)); (void)third->place(1); auto p = std::make_shared(fg, c.src, c.dst, k.config(fg, c.src, c.dst, dag)); for (auto v : sc.before) (void)p->place(v); @@ -390,14 +390,14 @@ TEST(LedgerFaults, PolicyConstructionFailsWithoutBinding) { const std::string w = c.name + " construction allocation " + std::to_string(at); FlowLedger fg(c.g); { - RoutePolicy other(fg, c.src, c.dst, split_route(fg, c.src, c.dst, dag, FlowPlacement::EqualBalanced, Admission::Lossless)); + RoutePolicy other(fg, c.src, c.dst, split_route(fg, c.src, c.dst, dag, RouteAllocation::Equal, Admission::Lossless)); (void)other.place(1); } // an orphan const LedgerState before = ledger_state(fg); std::optional p; const long live = g_live.load(); if (!fails_at(at, [&] { p.emplace(fg, c.src, c.dst, k.config(fg, c.src, c.dst, dag)); })) { - EXPECT_EQ(LedgerAccess::bound_owners(fg).size(), 1U); + EXPECT_EQ(LedgerAccess::bound_policy_ids(fg).size(), 1U); break; } ++injected; @@ -421,13 +421,13 @@ TEST(LedgerFaults, EveryAllocationOfAResetFailsAtomically) { auto fg = std::make_unique(c.g); // The policies are destroyed without remove(): their records are orphans, a T1 tunnel's // with its holds. - (void)RoutePolicy(*fg, c.src, c.dst, split_route(*fg, c.src, c.dst, dag, FlowPlacement::EqualBalanced, Admission::Lossless)) + (void)RoutePolicy(*fg, c.src, c.dst, split_route(*fg, c.src, c.dst, dag, RouteAllocation::Equal, Admission::Lossless)) .place(2); - (void)FlowPolicy(*fg, v({c.src}), v({c.dst}), FlowPolicyConfig {.routing = CapacityAware {Tunnels {1}}}).replace(0, 1); + (void)FlowPolicy(*fg, v({c.src}), v({c.dst}), FlowPolicyConfig {.routing = DistributedTE {TunnelCount {1}}}).replace(0, 1); return fg; }; const std::vector half = [&] { - std::vector r(c.g->capacity_units().begin(), c.g->capacity_units().end()); + std::vector r(c.g->edge_capacity_units().begin(), c.g->edge_capacity_units().end()); for (auto& x : r) x /= 2; return r; }(); @@ -449,12 +449,12 @@ TEST(LedgerFaults, EveryAllocationOfAResetFailsAtomically) { ASSERT_FALSE(initial.records.empty()) << where; // something to clear reset(*ref); const LedgerState want = ledger_state(*ref); - EXPECT_EQ(want.residual, to_capacities ? std::vector(c.g->capacity_units().begin(), - c.g->capacity_units().end()) + EXPECT_EQ(want.residual, to_capacities ? std::vector(c.g->edge_capacity_units().begin(), + c.g->edge_capacity_units().end()) : half) << where; EXPECT_EQ(want.unreserved, variant == 2 ? half - : std::vector(c.g->capacity_units().begin(), c.g->capacity_units().end())) + : std::vector(c.g->edge_capacity_units().begin(), c.g->edge_capacity_units().end())) << where; EXPECT_EQ(want.reserved, std::vector(half.size(), 0)) << where; long injected = 0; @@ -491,7 +491,7 @@ TEST(LedgerFaults, EveryAllocationOfAResetFailsAtomically) { // leaks nothing; the completing one holds the expected baseline and nothing else. TEST(LedgerFaults, EveryAllocationOfALedgerConstructionFailsWithoutALeak) { for (const auto& c : cases()) { - const std::vector capacities(c.g->capacity_units().begin(), c.g->capacity_units().end()); + const std::vector capacities(c.g->edge_capacity_units().begin(), c.g->edge_capacity_units().end()); std::vector half = capacities; for (auto& x : half) x /= 2; for (const int variant : {0, 1, 2}) { @@ -516,7 +516,7 @@ TEST(LedgerFaults, EveryAllocationOfALedgerConstructionFailsWithoutALeak) { ASSERT_TRUE(fg.has_value()) << w; EXPECT_EQ(fg->residual(), from_residual ? half : capacities) << w; EXPECT_EQ(fg->unreserved(), variant == 2 ? half : capacities) << w; - EXPECT_EQ(fg->allocated(), std::vector(capacities.size(), 0)) << w; + EXPECT_EQ(fg->carried(), std::vector(capacities.size(), 0)) << w; EXPECT_EQ(fg->reserved(), std::vector(capacities.size(), 0)) << w; EXPECT_TRUE(fg->records().empty()) << w; break; @@ -542,15 +542,15 @@ TEST(LedgerFaults, EveryAllocationOfALedgerCopyOrMoveFailsWithoutALeak) { for (const auto& c : cases()) { const auto dag = all_edges(*c.g); // A baseline below the capacities: a ledger that rebuilt its baseline from them would differ. - std::vector half(c.g->capacity_units().begin(), c.g->capacity_units().end()); + std::vector half(c.g->edge_capacity_units().begin(), c.g->edge_capacity_units().end()); for (auto& x : half) x /= 2; FlowLedger fg(c.g, half, half); { - RoutePolicy first(fg, c.src, c.dst, split_route(fg, c.src, c.dst, dag, FlowPlacement::EqualBalanced, Admission::Lossless)); + RoutePolicy first(fg, c.src, c.dst, split_route(fg, c.src, c.dst, dag, RouteAllocation::Equal, Admission::Lossless)); (void)first.place(1); - RoutePolicy second(fg, c.src, c.dst, split_route(fg, c.src, c.dst, dag, FlowPlacement::Weighted, Admission::Lossy)); + RoutePolicy second(fg, c.src, c.dst, split_route(fg, c.src, c.dst, dag, RouteAllocation::Weighted, Admission::Lossy)); (void)second.place(2); - FlowPolicy holds(fg, v({c.src}), v({c.dst}), FlowPolicyConfig {.routing = CapacityAware {Tunnels {1}}}); + FlowPolicy holds(fg, v({c.src}), v({c.dst}), FlowPolicyConfig {.routing = DistributedTE {TunnelCount {1}}}); (void)holds.replace(0, 1); } // three orphans (one with holds): a copy may only be taken of a ledger without bound policies const LedgerState source = ledger_state(fg); @@ -623,7 +623,7 @@ TEST(LedgerFaults, ScratchGrowthFailureLeavesNothingHalfGrown) { const auto dag = all_edges(*large); const std::int32_t n = large->num_nodes(); const auto policy = [&](FlowLedger& fg) { - return RoutePolicy(fg, 0, n - 1, split_route(fg, 0, n - 1, dag, FlowPlacement::EqualBalanced, Admission::Lossless)); + return RoutePolicy(fg, 0, n - 1, split_route(fg, 0, n - 1, dag, RouteAllocation::Equal, Admission::Lossless)); }; // The reference, without a failure: the empty ledger, the ledger and epoch right after the // construction, and the result, ledger and epoch of place(2). @@ -643,14 +643,14 @@ TEST(LedgerFaults, ScratchGrowthFailureLeavesNothingHalfGrown) { want_state = ledger_state(fg); want_epoch = epoch(p.policy()); } - ASSERT_EQ(want.placed, 2); // the whole chain carries the request: the comparison is not of zeros + ASSERT_EQ(want.call_delivered, 2); // the whole chain carries the request: the comparison is not of zeros ASSERT_EQ(want_state.records.size(), 1U); // Construction (the route plan's per-node scratch) and a placement (the commit's per-edge // scratch and the kernels' buffers) on the small graph. const auto warm_up = [&] { FlowLedger fg(small); - RoutePolicy p(fg, 0, 2, split_route(fg, 0, 2, small_dag, FlowPlacement::EqualBalanced, Admission::Lossless)); - EXPECT_EQ(p.place(2).placed, 2); + RoutePolicy p(fg, 0, 2, split_route(fg, 0, 2, small_dag, RouteAllocation::Equal, Admission::Lossless)); + EXPECT_EQ(p.place(2).call_delivered, 2); }; sweep_scratch_growth( "construction", warm_up, diff --git a/tests/cpp/flow_ledger_tests.cpp b/tests/cpp/flow_ledger_tests.cpp index ab58b39..f69f957 100644 --- a/tests/cpp/flow_ledger_tests.cpp +++ b/tests/cpp/flow_ledger_tests.cpp @@ -1,5 +1,5 @@ // The integer ledger FlowLedger: the baseline, snapshots, FlowIds, bottleneck, and -// every row and transition of the lifetime table, driven through a policy on one route (Global +// every row and transition of the lifetime table, driven through a policy on one route (CentralizedTE // with the route as its support, or Pinned over it as a supplied split route: test::RoutePolicy, // route_policy.hpp); the 128-bit counters of the records; // and the commit rule itself (each edge published once, the multi-owner model, the fresh-record @@ -28,7 +28,7 @@ #include "netgraph/core/detail/int128.hpp" #include "netgraph/core/detail/ledger_access.hpp" -#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/detail/route_builders.hpp" #include "netgraph/core/flow_ledger.hpp" #include "route_policy.hpp" #include "state_comparators.hpp" @@ -41,7 +41,7 @@ using netgraph::core::Termination; namespace { -std::vector alloc_in(const FlowLedger& fg) { return to_input(*fg.graph(), fg.allocated()); } +std::vector alloc_in(const FlowLedger& fg) { return to_input(*fg.graph(), fg.carried()); } // What fn raises: the message when the exception's dynamic type is exactly std::logic_error (the // ledger's refusals of a moved-from ledger and of a malformed commit), or a description of anything @@ -70,8 +70,8 @@ TEST(FlowLedger, BaselineValidationAndSnapshots) { EXPECT_EQ(error_of([] { FlowLedger fg(nullptr, std::vector {}); }), "FlowLedger: graph is null"); FlowLedger fg(g, std::vector {3}); EXPECT_EQ(fg.residual(), (std::vector{3})); - EXPECT_EQ(fg.allocated(), (std::vector{0})); - EXPECT_EQ(std::vector(fg.capacity_units().begin(), fg.capacity_units().end()), (std::vector{5})); + EXPECT_EQ(fg.carried(), (std::vector{0})); + EXPECT_EQ(std::vector(fg.edge_capacity_units().begin(), fg.edge_capacity_units().end()), (std::vector{5})); EXPECT_TRUE(fg.records().empty()); EXPECT_EQ(fg.graph().get(), g.get()); FlowLedger other(g); @@ -95,45 +95,45 @@ TEST(FlowLedger, BaselineValidationAndSnapshots) { TEST(FlowLedger, BaselineDefectsReportTheFirstInOrder) { const auto g = shared(edge_amount_graph()); for (const auto& c : edge_amount_defects()) { - EXPECT_EQ(error_of([&] { FlowLedger fg(g, c.amounts); }), "residual" + c.error); + EXPECT_EQ(error_of([&] { FlowLedger fg(g, c.amounts); }), "service_baseline" + c.error); } FlowLedger fg(g); { - RoutePolicy q(fg, 0, 3, split_route(fg, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless)); - ASSERT_EQ(q.place(1).placed, 1); + RoutePolicy q(fg, 0, 3, split_route(fg, 0, 3, all_edges(*g), RouteAllocation::Equal, Admission::Lossless)); + ASSERT_EQ(q.place(1).call_delivered, 1); for (const auto& c : edge_amount_defects()) { EXPECT_EQ(error_of([&] { fg.reset(c.amounts); }), "FlowLedger.reset is rejected while a policy is bound (1 bound)"); } } // destroyed without remove(): the record stays as an orphan const auto records = fg.records(); - const auto allocated = fg.allocated(); + const auto carried = fg.carried(); const auto residual = fg.residual(); ASSERT_EQ(records.size(), 1U); for (const auto& c : edge_amount_defects()) { - EXPECT_EQ(error_of([&] { fg.reset(c.amounts); }), "residual" + c.error); + EXPECT_EQ(error_of([&] { fg.reset(c.amounts); }), "service_baseline" + c.error); ASSERT_EQ(fg.records().size(), 1U); EXPECT_EQ(fg.records()[0].flow_id, records[0].flow_id); - EXPECT_EQ(fg.allocated(), allocated); + EXPECT_EQ(fg.carried(), carried); EXPECT_EQ(fg.residual(), residual); - EXPECT_EQ(LedgerAccess::next_flow_id(fg), 1); + EXPECT_EQ(LedgerAccess::next_record_counter(fg), 1); } fg.reset(edge_amounts_at_the_bounds()); EXPECT_TRUE(fg.records().empty()); EXPECT_EQ(fg.residual(), edge_amounts_at_the_bounds()); fg.reset(); // no baseline: back to the capacities - EXPECT_EQ(fg.residual(), vec(g->capacity_units())); + EXPECT_EQ(fg.residual(), vec(g->edge_capacity_units())); } TEST(FlowLedger, BoundNoFlowsRow) { auto g = shared(make_graph(2, {{0, 1, 5, 1}})); FlowLedger fg(g); - RoutePolicy p(fg, 0, 1, split_route(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless)); + RoutePolicy p(fg, 0, 1, split_route(fg, 0, 1, all_edges(*g), RouteAllocation::Equal, Admission::Lossless)); // place(0): a no-op that creates nothing. auto r = p.place(0); EXPECT_EQ(r.termination, Termination::Complete); EXPECT_FALSE(r.routes_changed); EXPECT_TRUE(fg.records().empty()); - EXPECT_EQ(LedgerAccess::next_flow_id(fg), 0); + EXPECT_EQ(LedgerAccess::next_record_counter(fg), 0); // reset and copy rejected while a policy is bound; move rejected too. EXPECT_EQ(error_of([&] { fg.reset(); }), "FlowLedger.reset is rejected while a policy is bound (1 bound)"); EXPECT_EQ(error_of([&] { FlowLedger copy(fg); }), "FlowLedger: a ledger with bound policies cannot be copied"); @@ -147,7 +147,7 @@ TEST(FlowLedger, BoundNoFlowsRow) { EXPECT_TRUE(p.requested().is_zero()); // A positive request creates the flow (new id), routes_changed true. r = p.place(2); - EXPECT_EQ(r.placed, 2); + EXPECT_EQ(r.call_delivered, 2); EXPECT_TRUE(r.routes_changed); ASSERT_TRUE(p.flow_id().has_value()); EXPECT_EQ(p.flow_id()->second, 0); @@ -159,38 +159,38 @@ TEST(FlowLedger, NoRouteCreatesNothing) { FlowLedger fg(g); auto el = std::make_shared(g->eligibility({}, std::vector {0})); RoutePolicy p(fg, 0, 1, on_support(all_edges(*g)), el); - EXPECT_TRUE(detail::PolicyAccess::engine(p.policy()).roster.empty()); + EXPECT_TRUE(detail::PolicyAccess::engine(p.policy()).reachable_sources.empty()); auto r = p.place(3); EXPECT_EQ(r.termination, Termination::NoRoute); - EXPECT_EQ(r.placed, 0); - ASSERT_TRUE(r.remaining.has_value()); - EXPECT_EQ(*r.remaining, 3); + EXPECT_EQ(r.call_delivered, 0); + ASSERT_TRUE(r.call_undelivered.has_value()); + EXPECT_EQ(*r.call_undelivered, 3); EXPECT_FALSE(r.routes_changed); EXPECT_TRUE(fg.records().empty()); - EXPECT_EQ(LedgerAccess::next_flow_id(fg), 0); + EXPECT_EQ(LedgerAccess::next_record_counter(fg), 0); // A route without any walk: a supplied split route is rejected; as a support it leaves the // roster empty. auto g2 = shared(make_graph(3, {{0, 1, 5, 1}, {2, 1, 5, 1}})); FlowLedger fg2(g2); EXPECT_EQ(error_of([&] { - RoutePolicy bad(fg2, 0, 2, split_route(fg2, 0, 2, all_edges(*g2), FlowPlacement::EqualBalanced, Admission::Lossless)); + RoutePolicy bad(fg2, 0, 2, split_route(fg2, 0, 2, all_edges(*g2), RouteAllocation::Equal, Admission::Lossless)); }), "routes[0]: no walk from head 0 to a destination"); RoutePolicy none(fg2, 0, 2, on_support(all_edges(*g2))); - EXPECT_TRUE(detail::PolicyAccess::engine(none.policy()).roster.empty()); + EXPECT_TRUE(detail::PolicyAccess::engine(none.policy()).reachable_sources.empty()); EXPECT_EQ(none.place(1).termination, Termination::NoRoute); } TEST(FlowLedger, BoundWithFlowsRowAndEpochs) { auto g = shared(make_graph(2, {{0, 1, 5, 1}})); FlowLedger fg(g); - RoutePolicy p(fg, 0, 1, split_route(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless)); - EXPECT_EQ(p.place(2).placed, 2); + RoutePolicy p(fg, 0, 1, split_route(fg, 0, 1, all_edges(*g), RouteAllocation::Equal, Admission::Lossless)); + EXPECT_EQ(p.place(2).call_delivered, 2); // Adds: the requested total grows within the epoch. auto r = p.place(std::nullopt); - EXPECT_EQ(r.placed, 3); + EXPECT_EQ(r.call_delivered, 3); EXPECT_EQ(r.termination, Termination::Exhausted); - EXPECT_FALSE(r.remaining.has_value()); + EXPECT_FALSE(r.call_undelivered.has_value()); EXPECT_TRUE(p.infinite()); // A finite request after +inf is rejected within the epoch, place(0) included (validation // precedes the zero shortcut); the requested total, the +inf flag, the flow and the @@ -222,7 +222,7 @@ TEST(FlowLedger, BoundWithFlowsRowAndEpochs) { "FlowId (" + std::to_string(old.first) + ", " + std::to_string(old.second) + ") is retired or unknown"); // place(+inf); remove(); place(1) is accepted: a new epoch with a new id. r = p.place(1); - EXPECT_EQ(r.placed, 1); + EXPECT_EQ(r.call_delivered, 1); EXPECT_TRUE(r.routes_changed); EXPECT_EQ(p.flow_id()->second, 1); p.remove(); // the epoch resets: the request of 1 is gone @@ -232,23 +232,23 @@ TEST(FlowLedger, BoundWithFlowsRowAndEpochs) { EXPECT_TRUE(fg.records().empty()); EXPECT_TRUE(p.requested().is_zero()); EXPECT_FALSE(p.infinite()); - EXPECT_EQ(LedgerAccess::next_flow_id(fg), 2); + EXPECT_EQ(LedgerAccess::next_record_counter(fg), 2); } TEST(FlowLedger, OrphanedRecordsResetAndCopy) { auto g = shared(make_graph(2, {{0, 1, 5, 1}})); FlowLedger fg(g); - auto p = std::make_unique(fg, 0, 1, split_route(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless)); + auto p = std::make_unique(fg, 0, 1, split_route(fg, 0, 1, all_edges(*g), RouteAllocation::Equal, Admission::Lossless)); { - RoutePolicy q(fg, 0, 1, split_route(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless)); - EXPECT_EQ(q.place(2).placed, 2); + RoutePolicy q(fg, 0, 1, split_route(fg, 0, 1, all_edges(*g), RouteAllocation::Equal, Admission::Lossless)); + EXPECT_EQ(q.place(2).call_delivered, 2); } // destroyed without remove(): the record stays as an orphan ASSERT_EQ(fg.records().size(), 1u); EXPECT_EQ(fg.records()[0].delivered, 2); - EXPECT_EQ(LedgerAccess::orphan_owners(fg), (std::vector{1})); - EXPECT_EQ(LedgerAccess::bound_owners(fg), (std::vector{0})); + EXPECT_EQ(LedgerAccess::orphan_policy_ids(fg), (std::vector{1})); + EXPECT_EQ(LedgerAccess::bound_policy_ids(fg), (std::vector{0})); // Another policy sees the orphan's allocation (it is never changed again). - EXPECT_EQ(p->place(5).placed, 3); + EXPECT_EQ(p->place(5).call_delivered, 3); EXPECT_NE(error_of([&] { fg.reset(); }).find("bound"), std::string::npos); p->remove(); p.reset(); // destroyed: nothing bound @@ -258,15 +258,15 @@ TEST(FlowLedger, OrphanedRecordsResetAndCopy) { ASSERT_EQ(c.records().size(), 1u); EXPECT_EQ(c.records()[0].flow_id, (FlowId {c.uid(), 0})); EXPECT_EQ(c.records()[0].delivered, 2); - EXPECT_EQ(c.allocated(), fg.allocated()); + EXPECT_EQ(c.carried(), fg.carried()); // reset: orphans and their allocations cleared, ids retired (never reused), new baseline. fg.reset(std::vector {4}); EXPECT_TRUE(fg.records().empty()); EXPECT_EQ(fg.residual(), (std::vector{4})); - EXPECT_TRUE(LedgerAccess::orphan_owners(fg).empty()); - EXPECT_EQ(LedgerAccess::next_flow_id(fg), 2); - RoutePolicy r(fg, 0, 1, split_route(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless)); - EXPECT_EQ(r.place(9).placed, 4); + EXPECT_TRUE(LedgerAccess::orphan_policy_ids(fg).empty()); + EXPECT_EQ(LedgerAccess::next_record_counter(fg), 2); + RoutePolicy r(fg, 0, 1, split_route(fg, 0, 1, all_edges(*g), RouteAllocation::Equal, Admission::Lossless)); + EXPECT_EQ(r.place(9).call_delivered, 4); EXPECT_EQ(r.flow_id()->second, 2); // The copy is independent of the original. EXPECT_EQ(c.records()[0].delivered, 2); @@ -291,7 +291,7 @@ TEST(FlowLedger, CopyAndMoveCarryTheWholeLedger) { for (std::size_t i = 0; i < 4; ++i) reservation[static_cast(inv[i])] = reserve_by_input[i]; FlowLedger fg(g, baseline, reservation); { - RoutePolicy lossy(fg, 0, 3, split_route(fg, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy)); + RoutePolicy lossy(fg, 0, 3, split_route(fg, 0, 3, all_edges(*g), RouteAllocation::Equal, Admission::Lossy)); (void)lossy.place(10); // owner 0, FlowId 0: delivers 6, drops 4 on the 1 -> 3 edge RoutePolicy removed(fg, 0, 3, on_support(all_edges(*g))); (void)removed.place(1); // owner 1, FlowId 1, retired by remove() @@ -300,7 +300,7 @@ TEST(FlowLedger, CopyAndMoveCarryTheWholeLedger) { (void)lossless.place(2); // owner 2, FlowId 2 // owner 3, FlowId 3: one T1 tunnel over 0 -> 2 -> 3 holding 5 (the request filters out the // 1-unit link 1 -> 3), carrying nothing. - FlowPolicy holds(fg, v({0}), v({3}), FlowPolicyConfig {.routing = CapacityAware {Tunnels {1}}}); + FlowPolicy holds(fg, v({0}), v({3}), FlowPolicyConfig {.routing = DistributedTE {TunnelCount {1}}}); (void)holds.replace(0, 5); } // four orphaned owners, three records: a copy or a move needs a ledger without bound policies const LedgerState source = ledger_state(fg); @@ -308,19 +308,19 @@ TEST(FlowLedger, CopyAndMoveCarryTheWholeLedger) { const std::vector source_reservation = vec(LedgerAccess::reservation_baseline(fg)); // The source is what the comment above says, so that each part below can differ. ASSERT_EQ(source.records.size(), 3u); - EXPECT_EQ(source.records[2].reserved_edges, (std::vector> {{inv[1], 5}, {inv[3], 5}})); + EXPECT_EQ(source.records[2].edge_reservations, (std::vector> {{inv[1], 5}, {inv[3], 5}})); EXPECT_EQ(source.reserved[static_cast(inv[1])], 5); EXPECT_EQ(source_reservation, reservation); EXPECT_TRUE(source.records[0].offered.has_value()); EXPECT_EQ(source.records[0].delivered, 6); - EXPECT_EQ(source.records[0].drops, (std::vector>{{inv[2], Counter128 {0, 4}}})); + EXPECT_EQ(source.records[0].edge_drops, (std::vector>{{inv[2], Counter128 {0, 4}}})); EXPECT_FALSE(source.records[1].offered.has_value()); EXPECT_EQ(source.records[1].flow_id.second, 2); EXPECT_EQ(source.next_id, 4); EXPECT_TRUE(source.bound.empty()); EXPECT_EQ(source.orphans, (std::vector{0, 1, 2, 3})); - EXPECT_NE(source_baseline, vec(g->capacity_units())); - EXPECT_NE(source.allocated, std::vector(4, 0)); + EXPECT_NE(source_baseline, vec(g->edge_capacity_units())); + EXPECT_NE(source.carried, std::vector(4, 0)); // Everything the source held (both baselines and both projections), then the next policy: it // gets the next owner id (4) and the next FlowId. @@ -329,11 +329,11 @@ TEST(FlowLedger, CopyAndMoveCarryTheWholeLedger) { EXPECT_EQ(vec(LedgerAccess::baseline(x)), source_baseline) << what; EXPECT_EQ(vec(LedgerAccess::reservation_baseline(x)), source_reservation) << what; RoutePolicy next(x, 0, 3, on_support(all_edges(*g))); - EXPECT_EQ(next.place(1).placed, 1) << what; + EXPECT_EQ(next.place(1).call_delivered, 1) << what; ASSERT_TRUE(next.flow_id().has_value()) << what; EXPECT_EQ(next.flow_id()->second, source.next_id) << what; - EXPECT_EQ(x.record(*next.flow_id()).owner, 4) << what; - EXPECT_EQ(LedgerAccess::bound_owners(x), (std::vector{4})) << what; + EXPECT_EQ(x.record(*next.flow_id()).policy_id, 4) << what; + EXPECT_EQ(LedgerAccess::bound_policy_ids(x), (std::vector{4})) << what; next.remove(); }; @@ -356,14 +356,14 @@ TEST(FlowLedger, CopyAndMoveCarryTheWholeLedger) { const std::vector>> calls = { {"uid", [&] { (void)fg.uid(); }}, {"graph", [&] { (void)fg.graph(); }}, - {"capacity_units", [&] { (void)fg.capacity_units(); }}, + {"capacity_units", [&] { (void)fg.edge_capacity_units(); }}, {"residual", [&] { (void)fg.residual(); }}, - {"allocated", [&] { (void)fg.allocated(); }}, + {"allocated", [&] { (void)fg.carried(); }}, {"reserved", [&] { (void)fg.reserved(); }}, {"unreserved", [&] { (void)fg.unreserved(); }}, {"records", [&] { (void)fg.records(); }}, {"record", [&] { (void)fg.record(some); }}, - {"bottleneck", [&] { (void)fg.bottleneck(sources); }}, + {"bottleneck", [&] { (void)fg.saturated_boundary_edges(sources); }}, {"reset", [&] { fg.reset(); }}, {"reset(residual)", [&] { fg.reset(baseline_again); }}, {"reset(residual, unreserved)", [&] { fg.reset(baseline_again, baseline_again); }}, @@ -387,12 +387,12 @@ TEST(FlowLedger, HoldsAreCheckedAgainstTheReservationBaseline) { FlowLedger fg(g, std::vector {10}, std::vector {6}); const auto owner = LedgerAccess::bind(fg); auto draft = [&](Amount load, Amount hold) { - detail::Draft d; + detail::RecordDraft d; d.record.sources = {0}; d.record.destinations = {1}; - d.record.bundle = all_edges(*g); - if (load != 0) d.record.edges = {{0, load}}; - if (hold != 0) d.record.reserved_edges = {{0, hold}}; + d.record.route = all_edges(*g); + if (load != 0) d.record.edge_flows = {{0, load}}; + if (hold != 0) d.record.edge_reservations = {{0, hold}}; return d; }; const LedgerState empty = ledger_state(fg); @@ -400,24 +400,24 @@ TEST(FlowLedger, HoldsAreCheckedAgainstTheReservationBaseline) { {std::tuple {Amount {2}, Amount {7}, std::string("ledger: infeasible reservation on edge 0 (7 of 6)")}, std::tuple {Amount {2}, Amount {-1}, std::string("ledger: a negative hold in a commit")}, std::tuple {Amount {11}, Amount {6}, std::string("ledger: infeasible commit on edge 0 (11 of 10)")}}) { - std::vector ds {draft(load, hold)}; + std::vector ds {draft(load, hold)}; EXPECT_EQ(logic_error_of([&] { (void)LedgerAccess::commit(fg, owner, ds); }), text); expect_same(ledger_state(fg), empty, text); } - std::vector ds {draft(2, 6)}; + std::vector ds {draft(2, 6)}; const auto ids = LedgerAccess::commit(fg, owner, ds); EXPECT_EQ(fg.reserved(), (std::vector {6})); EXPECT_EQ(fg.unreserved(), (std::vector {0})); - EXPECT_EQ(fg.allocated(), (std::vector {2})); + EXPECT_EQ(fg.carried(), (std::vector {2})); // An exchange retires the old record and its hold before checking the new one's: 6 again fits. - std::vector again {draft(3, 6)}; + std::vector again {draft(3, 6)}; (void)LedgerAccess::exchange(fg, owner, again); EXPECT_EQ(fg.reserved(), (std::vector {6})); - EXPECT_EQ(fg.allocated(), (std::vector {3})); - EXPECT_EQ(LedgerAccess::live(fg, ids[0].second + 1).reserved_edges, (std::vector> {{0, 6}})); + EXPECT_EQ(fg.carried(), (std::vector {3})); + EXPECT_EQ(LedgerAccess::live(fg, ids[0].second + 1).edge_reservations, (std::vector> {{0, 6}})); (void)LedgerAccess::detach(fg, owner); EXPECT_EQ(fg.reserved(), (std::vector {0})); - EXPECT_EQ(fg.allocated(), (std::vector {0})); + EXPECT_EQ(fg.carried(), (std::vector {0})); expect_balanced(fg, "after detach"); LedgerAccess::release(fg, owner); } @@ -445,46 +445,46 @@ TEST(FlowLedger, FlowIdsOfOtherLedgersAndUnknownIds) { } TEST(FlowLedger, RecordsCarryTheContractFields) { - // Lossy EqualBalanced on the diamond 10/10/1/10: 10 then 1 (the reference fixture + // Lossy Equal on the diamond 10/10/1/10: 10 then 1 (the reference fixture // lossy_diamond_10_then_1, tests/reference/policy/p2_transaction/fixtures.py). auto g = shared(make_graph(4, {{0, 1, 10, 1}, {0, 2, 10, 1}, {1, 3, 1, 1}, {2, 3, 10, 1}})); const auto inv = id_of_input(*g); FlowLedger fg(g); - RoutePolicy p(fg, 0, 3, split_route(fg, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy)); + RoutePolicy p(fg, 0, 3, split_route(fg, 0, 3, all_edges(*g), RouteAllocation::Equal, Admission::Lossy)); auto r = p.place(10); - EXPECT_EQ(r.placed, 6); + EXPECT_EQ(r.call_delivered, 6); EXPECT_EQ(r.termination, Termination::Complete); - EXPECT_EQ(r.call_drops, (std::vector>{{inv[2], 4}})); + EXPECT_EQ(r.call_edge_drops, (std::vector>{{inv[2], 4}})); r = p.place(1); - EXPECT_EQ(r.placed, 0); + EXPECT_EQ(r.call_delivered, 0); EXPECT_EQ(r.termination, Termination::Complete); - EXPECT_EQ(*r.remaining, 1); + EXPECT_EQ(*r.call_undelivered, 1); // The call's own drops; the record keeps the cumulative 4 + 1 below. - EXPECT_EQ(r.call_drops, (std::vector>{{inv[2], 1}})); + EXPECT_EQ(r.call_edge_drops, (std::vector>{{inv[2], 1}})); EXPECT_EQ(alloc_in(fg), (std::vector{6, 5, 1, 5})); const auto rec = fg.records().at(0); EXPECT_EQ(rec.flow_id, (FlowId {fg.uid(), 0})); - EXPECT_EQ(rec.owner, 0); + EXPECT_EQ(rec.policy_id, 0); EXPECT_EQ(rec.sources, (std::vector{0})); EXPECT_EQ(rec.destinations, (std::vector{3})); EXPECT_EQ(rec.admission, Admission::Lossy); - ASSERT_TRUE(rec.bundle); - EXPECT_EQ(rec.bundle->via_edges().size(), 4u); - EXPECT_TRUE(*rec.bundle == *all_edges(*g)); - EXPECT_EQ(rec.route_cost, 2); + ASSERT_TRUE(rec.route); + EXPECT_EQ(rec.route->via_edges().size(), 4u); + EXPECT_TRUE(*rec.route == *all_edges(*g)); + EXPECT_EQ(rec.min_route_cost, 2); ASSERT_TRUE(rec.offered.has_value()); EXPECT_EQ(*rec.offered, (Counter128 {0, 11})); EXPECT_EQ(rec.delivered, 6); - ASSERT_EQ(rec.drops.size(), 1u); - EXPECT_EQ(rec.drops[0].first, inv[2]); - EXPECT_EQ(rec.drops[0].second, (Counter128 {0, 5})); - // +inf on a fresh ledger (CostOnly's first-hop experiment over the same DAG): offered is the + ASSERT_EQ(rec.edge_drops.size(), 1u); + EXPECT_EQ(rec.edge_drops[0].first, inv[2]); + EXPECT_EQ(rec.edge_drops[0].second, (Counter128 {0, 5})); + // +inf on a fresh ledger (ShortestPaths's first-hop experiment over the same DAG): offered is the // injection (20), delivered 11, drops 9. FlowLedger f2(g); FlowPolicy q(f2, std::vector {0}, std::vector {3}, - FlowPolicyConfig {CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy}); + FlowPolicyConfig {ShortestPaths {}, Admission::Lossy}); r = q.place(std::nullopt); - EXPECT_EQ(r.placed, 11); + EXPECT_EQ(r.call_delivered, 11); EXPECT_EQ(r.termination, Termination::Exhausted); EXPECT_EQ(*f2.records()[0].offered, (Counter128 {0, 20})); // Lossless records carry no offered. @@ -492,7 +492,7 @@ TEST(FlowLedger, RecordsCarryTheContractFields) { RoutePolicy m(f3, 0, 3, on_support(all_edges(*g))); (void)m.place(3); EXPECT_FALSE(f3.records()[0].offered.has_value()); - EXPECT_TRUE(f3.records()[0].drops.empty()); + EXPECT_TRUE(f3.records()[0].edge_drops.empty()); } TEST(FlowLedger, CountersBeyondSixtyFourBits) { @@ -500,14 +500,14 @@ TEST(FlowLedger, CountersBeyondSixtyFourBits) { // every other unit dropped: offered and drops grow beyond 2^64. auto g = shared(make_graph(2, {{0, 1, 1, 1}})); FlowLedger fg(g); - RoutePolicy p(fg, 0, 1, split_route(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy)); + RoutePolicy p(fg, 0, 1, split_route(fg, 0, 1, all_edges(*g), RouteAllocation::Equal, Admission::Lossy)); const Amount big = kDomainLimit - 1; for (int i = 0; i < 9; ++i) (void)p.place(big); const auto rec = fg.records().at(0); // offered = 9 (2^62 - 1) = 2^65 + 2^62 - 9 EXPECT_EQ(*rec.offered, (Counter128 {2, (std::uint64_t {1} << 62) - 9})); EXPECT_EQ(rec.delivered, 1); - EXPECT_EQ(rec.drops[0].second, (Counter128 {2, (std::uint64_t {1} << 62) - 10})); + EXPECT_EQ(rec.edge_drops[0].second, (Counter128 {2, (std::uint64_t {1} << 62) - 10})); EXPECT_EQ(p.requested(), (Counter128 {2, (std::uint64_t {1} << 62) - 9})); // the offers' total } @@ -549,7 +549,7 @@ TEST(FlowLedger, Counter128CarriesAndFailsAt2To127) { TEST(FlowLedger, RequestDomainAndFailedCallsLeaveState) { auto g = shared(make_graph(2, {{0, 1, 5, 1}})); FlowLedger fg(g); - RoutePolicy p(fg, 0, 1, split_route(fg, 0, 1, all_edges(*g), FlowPlacement::Weighted, Admission::Lossless)); + RoutePolicy p(fg, 0, 1, split_route(fg, 0, 1, all_edges(*g), RouteAllocation::Weighted, Admission::Lossless)); (void)p.place(2); const LedgerState before = ledger_state(fg); const auto id = p.flow_id(); @@ -563,7 +563,7 @@ TEST(FlowLedger, RequestDomainAndFailedCallsLeaveState) { EXPECT_FALSE(p.infinite()); EXPECT_EQ(p.flow_id(), id); expect_same(ledger_state(fg), before, "after the rejected requests"); - EXPECT_EQ(fg.allocated(), (std::vector{2})); + EXPECT_EQ(fg.carried(), (std::vector{2})); EXPECT_EQ(fg.residual(), (std::vector{3})); // Constructor validation. auto other = make_graph(2, {{0, 1, 5, 1}}); @@ -572,9 +572,9 @@ TEST(FlowLedger, RequestDomainAndFailedCallsLeaveState) { }), "support belongs to another graph"); EXPECT_EQ(error_of([&] { - RoutePolicy x(fg, 0, 1, split_route(fg, 0, 1, dag_of(other, {0}), FlowPlacement::EqualBalanced, Admission::Lossless)); + RoutePolicy x(fg, 0, 1, split_route(fg, 0, 1, dag_of(other, {0}), RouteAllocation::Equal, Admission::Lossless)); }), - "routes[0]: bundle belongs to another graph"); + "routes[0]: route belongs to another graph"); EXPECT_EQ(error_of([&] { RoutePolicy x(fg, 0, 0, on_support(all_edges(*g))); }), @@ -582,24 +582,24 @@ TEST(FlowLedger, RequestDomainAndFailedCallsLeaveState) { EXPECT_EQ(error_of([&] { RoutePolicy x(fg, 0, 1, on_support(all_edges(*g), Admission::Lossy)); }), - kLossyKernelError); + "CentralizedTE without tunnel_count requires admission=LOSSLESS"); // A rejected construction binds nothing (the accepted one above was destroyed: an orphan owner). - EXPECT_EQ(LedgerAccess::bound_owners(fg), (std::vector{0})); + EXPECT_EQ(LedgerAccess::bound_policy_ids(fg), (std::vector{0})); } TEST(FlowLedger, BottleneckVersusMinCut) { // The ledger's bottleneck against the minimum cut: (0->1 cap 1 cost 1), (0->2 cap 2 cost 3), - // (1->2 cap 1), (2->3 cap 2). After the MaxFlow +inf [1, 1, 1, 2] the bottleneck (forward + // (1->2 cap 1), (2->3 cap 2). After the Optimized +inf [1, 1, 1, 2] the bottleneck (forward // residual) is {0->1, 2->3}, not the cut {2->3}. auto g = shared(make_graph(4, {{0, 1, 1, 1}, {0, 2, 2, 3}, {1, 2, 1, 1}, {2, 3, 2, 1}})); const auto inv = id_of_input(*g); FlowLedger fg(g); RoutePolicy p(fg, 0, 3, on_support(all_edges(*g))); - EXPECT_EQ(p.place(std::nullopt).placed, 2); + EXPECT_EQ(p.place(std::nullopt).call_delivered, 2); EXPECT_EQ(alloc_in(fg), (std::vector{1, 1, 1, 2})); std::vector want = {inv[0], inv[3]}; std::sort(want.begin(), want.end()); - EXPECT_EQ(fg.bottleneck(std::vector {0}), want); + EXPECT_EQ(fg.saturated_boundary_edges(std::vector {0}), want); // The masks, on a graph whose unmasked bottleneck is not empty: (0->1 cap 1), (1->2 cap 1), // (0->3 cap 1), (0->4 cap 0). Owner a fills 1->2 and owner b 0->3, so only 0->1 keeps a // residual. Unmasked, the sources reach {0, 1}; the edges leaving that set are 1->2 and 0->3 @@ -609,51 +609,51 @@ TEST(FlowLedger, BottleneckVersusMinCut) { FlowLedger f2(g2); RoutePolicy a(f2, 1, 2, on_support(dag_of(*g2, {inv2[1]}))); RoutePolicy b(f2, 0, 3, on_support(dag_of(*g2, {inv2[2]}))); - ASSERT_EQ(a.place(1).placed, 1); - ASSERT_EQ(b.place(1).placed, 1); + ASSERT_EQ(a.place(1).call_delivered, 1); + ASSERT_EQ(b.place(1).call_delivered, 1); std::vector want2 = {inv2[1], inv2[2]}; std::sort(want2.begin(), want2.end()); - EXPECT_EQ(f2.bottleneck(std::vector {0}), want2); + EXPECT_EQ(f2.saturated_boundary_edges(std::vector {0}), want2); // 0->1 excluded: neither crossed (1->2 would be listed) nor listed itself; the sources reach // only {0}, whose leaving edges are 0->1 (excluded), 0->3 (listed) and 0->4 (zero capacity). auto el = g2->eligibility({}, std::vector {inv2[0]}); - EXPECT_EQ(f2.bottleneck(std::vector {0}, &el), (std::vector {inv2[2]})); + EXPECT_EQ(f2.saturated_boundary_edges(std::vector {0}, &el), (std::vector {inv2[2]})); // An excluded source contributes nothing; a foreign Eligibility throws. const std::vector xn = {0}; auto ex = g2->eligibility(xn, {}); - EXPECT_TRUE(f2.bottleneck(std::vector {0}, &ex).empty()); + EXPECT_TRUE(f2.saturated_boundary_edges(std::vector {0}, &ex).empty()); auto other = make_graph(3, {{0, 1, 1, 1}}); auto foreign = other.eligibility({}, std::vector {0}); - EXPECT_EQ(error_of([&] { (void)f2.bottleneck(std::vector {0}, &foreign); }), + EXPECT_EQ(error_of([&] { (void)f2.saturated_boundary_edges(std::vector {0}, &foreign); }), "foreign Eligibility: built for another graph"); - EXPECT_EQ(error_of([&] { (void)f2.bottleneck(std::vector {}); }), "sources: the node set is empty"); + EXPECT_EQ(error_of([&] { (void)f2.saturated_boundary_edges(std::vector {}); }), "sources: the node set is empty"); } TEST(FlowLedger, TwoOwnersNeverCancelEachOther) { - // Two MaxFlow owners never cancel each other's flow: A holds the chain 0-1-2-3; B's bundle + // Two Optimized owners never cancel each other's flow: A holds the chain 0-1-2-3; B's route // (chain plus bypasses) could reach 2 only by cancelling A's middle edge: B places 0 (record // at zero delivery, exhausted) and A is untouched; after A's remove() B places 2. auto g = shared(make_graph(4, {{0, 1, 1, 1}, {1, 2, 1, 1}, {2, 3, 1, 1}, {0, 2, 1, 3}, {1, 3, 1, 3}})); const auto inv = id_of_input(*g); FlowLedger fg(g); RoutePolicy a(fg, 0, 3, on_support(dag_of(*g, {inv[0], inv[1], inv[2]}))); - EXPECT_EQ(a.place(1).placed, 1); + EXPECT_EQ(a.place(1).call_delivered, 1); RoutePolicy b(fg, 0, 3, on_support(all_edges(*g))); auto r = b.place(2); - EXPECT_EQ(r.placed, 0); + EXPECT_EQ(r.call_delivered, 0); EXPECT_FALSE(r.routes_changed); // a controller program without a path: no program change EXPECT_EQ(r.termination, Termination::Exhausted); EXPECT_EQ(fg.record(*b.flow_id()).delivered, 0); EXPECT_EQ(alloc_in(fg), (std::vector{1, 1, 1, 0, 0})); a.remove(); r = b.place(2); - EXPECT_EQ(r.placed, 2); + EXPECT_EQ(r.call_delivered, 2); EXPECT_EQ(alloc_in(fg), (std::vector{1, 0, 1, 1, 1})); } TEST(FlowLedger, AggregatesEqualTheSumOfRecords) { - // Random sequences of placements, removals and destructions on one ledger: allocated() is the - // exact sum of the records' edges and residual() = baseline - allocated() within [0, baseline], + // Random sequences of placements, removals and destructions on one ledger: carried() is the + // exact sum of the records' edge_flows and residual() = baseline - carried() within [0, baseline], // and every record is a flow of its own (expect_conserved, test_utils.hpp). std::mt19937 rng(5); int delivering = 0; // placements that delivered units @@ -675,14 +675,14 @@ TEST(FlowLedger, AggregatesEqualTheSumOfRecords) { FlowLedger fg(g); std::vector> pols; for (int k = 0; k < 4; ++k) { - // Global on the route, or Pinned over it as a split route (Weighted or EqualBalanced, either + // CentralizedTE on the route, or Pinned over it as a split route (Weighted or Equal, either // admission). const int kind = static_cast(rng() % 3); const auto adm = kind != 0 && rng() % 3 == 0 ? Admission::Lossy : Admission::Lossless; try { auto cfg = kind == 0 ? on_support(all_edges(*g)) : split_route(fg, 0, n - 1, all_edges(*g), - kind == 1 ? FlowPlacement::Weighted : FlowPlacement::EqualBalanced, adm); + kind == 1 ? RouteAllocation::Weighted : RouteAllocation::Equal, adm); pols.push_back(std::make_unique(fg, 0, n - 1, std::move(cfg))); } catch (const std::invalid_argument&) { break; // no walk at all @@ -693,17 +693,17 @@ TEST(FlowLedger, AggregatesEqualTheSumOfRecords) { if (!p) continue; const int op = static_cast(rng() % 6); const auto records = fg.records().size(); - const auto orphans = LedgerAccess::orphan_owners(fg).size(); + const auto orphans = LedgerAccess::orphan_policy_ids(fg).size(); if (op == 0) { p->remove(); removed += fg.records().size() < records ? 1 : 0; } else if (op == 1) { p.reset(); - orphaned += LedgerAccess::orphan_owners(fg).size() > orphans ? 1 : 0; + orphaned += LedgerAccess::orphan_policy_ids(fg).size() > orphans ? 1 : 0; } else if (!p->infinite()) { // +inf only Lossless (a Lossy forwarding of a program needs a finite offer). const bool inf = op == 2 && !p->lossy(); - delivering += p->place(inf ? std::optional() : std::optional(rng() % 9)).placed > 0; + delivering += p->place(inf ? std::optional() : std::optional(rng() % 9)).call_delivered > 0; } recorded = recorded || !fg.records().empty(); const std::string where = "trial " + std::to_string(trial) + " step " + std::to_string(step); @@ -711,18 +711,18 @@ TEST(FlowLedger, AggregatesEqualTheSumOfRecords) { for (const auto& r : fg.records()) { const bool carries = expect_conserved(*g, r, where + " record " + std::to_string(r.flow_id.second)); if (r.admission == Admission::Lossless) lossless_carrying += carries ? 1 : 0; - if (r.admission == Admission::Lossy) lossy_dropping += r.drops.empty() ? 0 : 1; + if (r.admission == Admission::Lossy) lossy_dropping += r.edge_drops.empty() ? 0 : 1; } const auto res = fg.residual(); - const auto allocated = fg.allocated(); + const auto carried = fg.carried(); for (std::size_t e = 0; e < res.size(); ++e) { - EXPECT_EQ(res[e] + allocated[e], g->capacity_units()[e]) << where << " edge " << e; + EXPECT_EQ(res[e] + carried[e], g->edge_capacity_units()[e]) << where << " edge " << e; } ASSERT_FALSE(::testing::Test::HasFailure()) << where; } with_records += recorded; } - // The trials did real work: a generator change that left every bundle without a walk, or every + // The trials did real work: a generator change that left every route without a walk, or every // placement empty, would otherwise pass with nothing compared. EXPECT_GT(delivering, 100); EXPECT_GT(with_records, 50); @@ -745,24 +745,24 @@ TEST(FlowLedger, TheRecordCheckReportsEachBrokenClause) { FlowLedger f1(g); FlowLedger f2(g); RoutePolicy max_flow(f1, 0, 3, on_support(all_edges(*g))); - ASSERT_EQ(max_flow.place(std::nullopt).placed, 11); - RoutePolicy lossy(f2, 0, 3, split_route(f2, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy)); - ASSERT_EQ(lossy.place(10).placed, 6); - ASSERT_EQ(lossy.place(1).placed, 0); + ASSERT_EQ(max_flow.place(std::nullopt).call_delivered, 11); + RoutePolicy lossy(f2, 0, 3, split_route(f2, 0, 3, all_edges(*g), RouteAllocation::Equal, Admission::Lossy)); + ASSERT_EQ(lossy.place(10).call_delivered, 6); + ASSERT_EQ(lossy.place(1).call_delivered, 0); const FlowRecord lossless_record = f1.records().at(0); const FlowRecord lossy_record = f2.records().at(0); - ASSERT_EQ(lossless_record.edges, + ASSERT_EQ(lossless_record.edge_flows, (std::vector> {{inv[0], 1}, {inv[1], 10}, {inv[2], 1}, {inv[3], 10}})); ASSERT_EQ(lossless_record.delivered, 11); - ASSERT_EQ(lossy_record.edges, + ASSERT_EQ(lossy_record.edge_flows, (std::vector> {{inv[0], 6}, {inv[1], 5}, {inv[2], 1}, {inv[3], 5}})); - ASSERT_EQ(lossy_record.drops, (std::vector> {{inv[2], Counter128 {0, 5}}})); + ASSERT_EQ(lossy_record.edge_drops, (std::vector> {{inv[2], Counter128 {0, 5}}})); ASSERT_EQ(lossy_record.offered, (std::optional {Counter128 {0, 11}})); ASSERT_EQ(lossy_record.delivered, 6); // The amount on the edge of input position i. auto on = [&](FlowRecord& r, std::size_t i) -> Amount& { - const auto it = std::find_if(r.edges.begin(), r.edges.end(), [&](const auto& x) { return x.first == inv[i]; }); - if (it == r.edges.end()) throw std::logic_error("the record has no amount on that edge"); + const auto it = std::find_if(r.edge_flows.begin(), r.edge_flows.end(), [&](const auto& x) { return x.first == inv[i]; }); + if (it == r.edge_flows.end()) throw std::logic_error("the record has no amount on that edge"); return it->second; }; bool carries = false; @@ -771,7 +771,7 @@ TEST(FlowLedger, TheRecordCheckReportsEachBrokenClause) { EXPECT_EQ(failures_of([&] { carries = expect_conserved(*g, lossy_record, "lossy"); }), 0); EXPECT_TRUE(carries); FlowRecord empty = lossless_record; - empty.edges.clear(); + empty.edge_flows.clear(); empty.delivered = 0; EXPECT_EQ(failures_of([&] { carries = expect_conserved(*g, empty, "empty"); }), 0); EXPECT_FALSE(carries); @@ -789,9 +789,9 @@ TEST(FlowLedger, TheRecordCheckReportsEachBrokenClause) { r.delivered -= 1; }, 2}, - {"edges in ascending EdgeId", [](FlowRecord& r) { std::swap(r.edges[0], r.edges[1]); }, 1}, + {"edges in ascending EdgeId", [](FlowRecord& r) { std::swap(r.edge_flows[0], r.edge_flows[1]); }, 1}, {"offered only on a Lossy record", [](FlowRecord& r) { r.offered = Counter128 {0, 11}; }, 1}, - {"drops only on a Lossy record", [&](FlowRecord& r) { r.drops.emplace_back(inv[0], Counter128 {0, 1}); }, 1}, + {"drops only on a Lossy record", [&](FlowRecord& r) { r.edge_drops.emplace_back(inv[0], Counter128 {0, 1}); }, 1}, {"transit conservation (one unit moved from 0 -> 2 to 0 -> 1)", [&](FlowRecord& r) { ++on(r, 0); @@ -803,22 +803,22 @@ TEST(FlowLedger, TheRecordCheckReportsEachBrokenClause) { 2}, }; const std::vector lossy_cases = { - {"drops below 2^64", [](FlowRecord& r) { r.drops[0].second.hi = 1; }, 1}, + {"drops below 2^64", [](FlowRecord& r) { r.edge_drops[0].second.hi = 1; }, 1}, {"positive drops (the transit node's inflow lowered with it)", [&](FlowRecord& r) { - r.drops[0].second.lo = 0; + r.edge_drops[0].second.lo = 0; on(r, 0) = 1; }, 1}, {"drops in ascending EdgeId (a second drop at the source, offered raised with it)", [&](FlowRecord& r) { - r.drops.emplace_back(inv[0], Counter128 {0, 1}); + r.edge_drops.emplace_back(inv[0], Counter128 {0, 1}); r.offered->lo += 1; }, 1}, {"transit conservation net of drops (offered raised with the drop)", [](FlowRecord& r) { - r.drops[0].second.lo += 1; + r.edge_drops[0].second.lo += 1; r.offered->lo += 1; }, 1}, @@ -845,7 +845,7 @@ TEST(FlowLedger, TheRecordCheckReportsEachBrokenClause) { TEST(FlowLedger, NoRouteCallsRecordTheEpochState) { // A positive request with an empty roster creates nothing, but the epoch records it: after // +inf a finite request (place(0) included) is rejected until remove() (the epoch state: - // the reading of the reference in tests/reference/policy/p2_transaction/). Global on a + // the reading of the reference in tests/reference/policy/p2_transaction/). CentralizedTE on a // support: Pinned keeps one record per program entry even when every entry is masked // (below, and test_programs.py::test_all_failed_entries_still_have_records). auto g = shared(make_graph(2, {{0, 1, 5, 1}})); @@ -856,7 +856,7 @@ TEST(FlowLedger, NoRouteCallsRecordTheEpochState) { EXPECT_EQ(p.requested(), (Counter128 {0, 3})); auto r = p.place(std::nullopt); EXPECT_EQ(r.termination, Termination::NoRoute); - EXPECT_FALSE(r.remaining.has_value()); + EXPECT_FALSE(r.call_undelivered.has_value()); EXPECT_TRUE(p.infinite()); EXPECT_NE(error_of([&] { (void)p.place(1); }).find("after infinite placement"), std::string::npos); EXPECT_NE(error_of([&] { (void)p.place(0); }).find("after infinite placement"), std::string::npos); @@ -867,46 +867,46 @@ TEST(FlowLedger, NoRouteCallsRecordTheEpochState) { EXPECT_TRUE(p.requested().is_zero()); EXPECT_EQ(p.place(1).termination, Termination::NoRoute); EXPECT_TRUE(fg.records().empty()); - EXPECT_EQ(LedgerAccess::next_flow_id(fg), 0); + EXPECT_EQ(LedgerAccess::next_record_counter(fg), 0); // Pinned with its one entry masked: NoRoute, and the entry's record at zero. FlowLedger fg2(g); - RoutePolicy q(fg2, 0, 1, split_route(fg2, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless), + RoutePolicy q(fg2, 0, 1, split_route(fg2, 0, 1, all_edges(*g), RouteAllocation::Equal, Admission::Lossless), el); auto rq = q.place(3); EXPECT_EQ(rq.termination, Termination::NoRoute); - EXPECT_EQ(rq.placed, 0); + EXPECT_EQ(rq.call_delivered, 0); const auto kept = fg2.records(); ASSERT_EQ(kept.size(), 1U); - EXPECT_EQ(kept[0].entry, std::optional {0}); + EXPECT_EQ(kept[0].entry_id, std::optional {0}); EXPECT_EQ(kept[0].delivered, 0); - EXPECT_TRUE(kept[0].edges.empty()); - EXPECT_EQ(kept[0].route_cost, kUnreachable); + EXPECT_TRUE(kept[0].edge_flows.empty()); + EXPECT_EQ(kept[0].min_route_cost, kUnreachable); } TEST(FlowLedger, RouteCostIsTheBundlesMinimumWalk) { // A split route weighted by its residual snapshot, made while another owner fills its only - // edge: no positive weight (record at zero delivery; NoActiveWeight), route_cost is still the + // edge: no positive weight (record at zero delivery; NoActiveWeight), min_route_cost is still the // route's walk cost 3. auto g = shared(make_graph(2, {{0, 1, 2, 3}})); FlowLedger fg(g); RoutePolicy holder(fg, 0, 1, on_support(all_edges(*g))); - EXPECT_EQ(holder.place(2).placed, 2); - RoutePolicy w(fg, 0, 1, split_route(fg, 0, 1, all_edges(*g), FlowPlacement::Weighted, Admission::Lossless, WeightBasis::ResidualSnapshot)); + EXPECT_EQ(holder.place(2).call_delivered, 2); + RoutePolicy w(fg, 0, 1, split_route(fg, 0, 1, all_edges(*g), RouteAllocation::Weighted, Admission::Lossless, WeightBasis::ResidualSnapshot)); auto r = w.place(1); - EXPECT_EQ(r.placed, 0); + EXPECT_EQ(r.call_delivered, 0); EXPECT_EQ(r.termination, Termination::NoActiveWeight); EXPECT_TRUE(r.routes_changed); ASSERT_NE(w.plan(), nullptr); - EXPECT_TRUE(w.plan()->members.empty()); + EXPECT_TRUE(w.plan()->forwarding_edges.empty()); const auto rec = fg.record(*w.flow_id()); - EXPECT_EQ(rec.route_cost, 3); + EXPECT_EQ(rec.min_route_cost, 3); EXPECT_EQ(rec.delivered, 0); - // A mixed-cost bundle: the cheapest walk (1 + 1 + 1) is the route cost, not the cost-4 edge. + // A mixed-cost route: the cheapest walk (1 + 1 + 1) is the route cost, not the cost-4 edge. auto g2 = shared(make_graph(4, {{0, 1, 1, 1}, {1, 2, 1, 1}, {2, 3, 1, 1}, {0, 3, 1, 4}})); FlowLedger f2(g2); RoutePolicy m(f2, 0, 3, on_support(all_edges(*g2))); (void)m.place(1); - EXPECT_EQ(f2.records()[0].route_cost, 3); + EXPECT_EQ(f2.records()[0].min_route_cost, 3); } TEST(FlowLedger, RemovalRestoresTheBaselineAndLeavesOtherOwnersIntact) { @@ -915,13 +915,13 @@ TEST(FlowLedger, RemovalRestoresTheBaselineAndLeavesOtherOwnersIntact) { auto g = shared(make_graph(2, {{0, 1, 10, 1}})); FlowLedger fg(g, std::vector {5}); RoutePolicy a(fg, 0, 1, on_support(all_edges(*g))); - RoutePolicy b(fg, 0, 1, split_route(fg, 0, 1, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossless)); - EXPECT_EQ(a.place(3).placed, 3); - EXPECT_EQ(b.place(1).placed, 1); + RoutePolicy b(fg, 0, 1, split_route(fg, 0, 1, all_edges(*g), RouteAllocation::Equal, Admission::Lossless)); + EXPECT_EQ(a.place(3).call_delivered, 3); + EXPECT_EQ(b.place(1).call_delivered, 1); EXPECT_EQ(fg.residual(), (std::vector{1})); a.remove(); EXPECT_EQ(fg.residual(), (std::vector{4})); - EXPECT_EQ(fg.record(*b.flow_id()).edges, (std::vector>{{0, 1}})); + EXPECT_EQ(fg.record(*b.flow_id()).edge_flows, (std::vector>{{0, 1}})); b.remove(); EXPECT_EQ(fg.residual(), (std::vector{5})); // A baseline one unit above the quantised capacity is rejected (no clamp at this boundary). @@ -933,16 +933,16 @@ TEST(FlowLedger, LossyOffersArePerCall) { // EdgeId first (both on the first branch) while one call of 2 splits [1, 1]: not additive. auto g = shared(make_graph(4, {{0, 1, 10, 1}, {0, 2, 10, 1}, {1, 3, 1, 1}, {2, 3, 10, 1}})); FlowLedger f1(g), f2(g); - RoutePolicy p1(f1, 0, 3, split_route(f1, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy)); - RoutePolicy p2(f2, 0, 3, split_route(f2, 0, 3, all_edges(*g), FlowPlacement::EqualBalanced, Admission::Lossy)); + RoutePolicy p1(f1, 0, 3, split_route(f1, 0, 3, all_edges(*g), RouteAllocation::Equal, Admission::Lossy)); + RoutePolicy p2(f2, 0, 3, split_route(f2, 0, 3, all_edges(*g), RouteAllocation::Equal, Admission::Lossy)); auto r = p1.place(1); - EXPECT_EQ(r.placed, 1); + EXPECT_EQ(r.call_delivered, 1); r = p1.place(1); - EXPECT_EQ(r.placed, 0); // the tail 1->3 is full: the unit is dropped there + EXPECT_EQ(r.call_delivered, 0); // the tail 1->3 is full: the unit is dropped there EXPECT_EQ(r.termination, Termination::Complete); EXPECT_EQ(alloc_in(f1), (std::vector{2, 0, 1, 0})); r = p2.place(2); - EXPECT_EQ(r.placed, 2); + EXPECT_EQ(r.call_delivered, 2); EXPECT_EQ(alloc_in(f2), (std::vector{1, 1, 1, 1})); } @@ -951,24 +951,24 @@ TEST(FlowLedger, LossyOffersArePerCall) { // published once. namespace { -detail::Draft draft_on(const std::shared_ptr& dag, std::vector> edges, +detail::RecordDraft draft_on(const std::shared_ptr& dag, std::vector> edges, std::optional id = std::nullopt) { - detail::Draft d; - d.id = id; + detail::RecordDraft d; + d.record_counter = id; FlowRecord& r = d.record; r.sources = {0}; r.destinations = {1}; - r.bundle = dag; - r.route_cost = 1; + r.route = dag; + r.min_route_cost = 1; for (const auto& [e, x] : edges) r.delivered += x; - r.edges = std::move(edges); + r.edge_flows = std::move(edges); return d; } Amount record_sum(const FlowLedger& fg, EdgeId e) { Amount sum = 0; for (const auto& r : fg.records()) { - for (const auto& [f, x] : r.edges) { + for (const auto& [f, x] : r.edge_flows) { if (f == e) sum += x; } } @@ -982,31 +982,31 @@ TEST(FlowLedger, MultiRecordCommitsPublishEachEdgeOnce) { const auto dag = all_edges(*g); FlowLedger fg(g); const auto owner = LedgerAccess::bind(fg); - std::vector first {draft_on(dag, {{0, 1}})}; + std::vector first {draft_on(dag, {{0, 1}})}; const auto ids = LedgerAccess::commit(fg, owner, first); // The record kept unchanged (-1, then +1: the delta passes through 0) plus a new 2-unit record. - std::vector next {draft_on(dag, {{0, 1}}, ids[0].second), draft_on(dag, {{0, 2}})}; + std::vector next {draft_on(dag, {{0, 1}}, ids[0].second), draft_on(dag, {{0, 2}})}; EXPECT_EQ(LedgerAccess::commit(fg, owner, next).size(), 1U); - EXPECT_EQ(fg.allocated(), (std::vector{3})); + EXPECT_EQ(fg.carried(), (std::vector{3})); EXPECT_EQ(fg.residual(), (std::vector{0})); EXPECT_EQ(record_sum(fg, 0), 3); // Over capacity through the same pattern: rejected, nothing changed. const LedgerState held = ledger_state(fg); - std::vector over {draft_on(dag, {{0, 1}}, ids[0].second), draft_on(dag, {{0, 2}}, ids[0].second + 1), + std::vector over {draft_on(dag, {{0, 1}}, ids[0].second), draft_on(dag, {{0, 2}}, ids[0].second + 1), draft_on(dag, {{0, 1}})}; EXPECT_EQ(logic_error_of([&] { (void)LedgerAccess::commit(fg, owner, over); }), "ledger: infeasible commit on edge 0 (4 of 3)"); expect_same(ledger_state(fg), held, "the refused commit"); - EXPECT_EQ(fg.allocated(), (std::vector{3})); - EXPECT_EQ(LedgerAccess::next_flow_id(fg), 2); + EXPECT_EQ(fg.carried(), (std::vector{3})); + EXPECT_EQ(LedgerAccess::next_record_counter(fg), 2); // A kept record gives its unit up while a new record takes the edge: published once. - std::vector moved {draft_on(dag, {}, ids[0].second), draft_on(dag, {{0, 2}}, ids[0].second + 1), + std::vector moved {draft_on(dag, {}, ids[0].second), draft_on(dag, {{0, 2}}, ids[0].second + 1), draft_on(dag, {{0, 1}})}; EXPECT_EQ(LedgerAccess::commit(fg, owner, moved).size(), 1U); - EXPECT_EQ(fg.allocated(), (std::vector{3})); + EXPECT_EQ(fg.carried(), (std::vector{3})); EXPECT_EQ(record_sum(fg, 0), 3); EXPECT_EQ(LedgerAccess::detach(fg, owner).size(), 3U); - EXPECT_EQ(fg.allocated(), (std::vector{0})); + EXPECT_EQ(fg.carried(), (std::vector{0})); LedgerAccess::release(fg, owner); } @@ -1046,7 +1046,7 @@ TEST(FlowLedger, RandomMultiOwnerCommitsMatchAModel) { (void)LedgerAccess::detach(fg, owners[o]); model[o].clear(); } else { - std::vector drafts; + std::vector drafts; std::map> after; for (const auto& [id, a] : model[o]) { const auto kind = rng() % 4; // kept, changed, emptied, moved to random edges @@ -1075,8 +1075,8 @@ TEST(FlowLedger, RandomMultiOwnerCommitsMatchAModel) { } } bool feasible = true; - for (std::size_t e = 0; e < m; ++e) feasible = feasible && total[e] <= g->capacity_units()[e]; - const auto before = fg.allocated(); + for (std::size_t e = 0; e < m; ++e) feasible = feasible && total[e] <= g->edge_capacity_units()[e]; + const auto before = fg.carried(); const LedgerState before_state = ledger_state(fg); if (feasible) { // The new records take the next ids in draft order. @@ -1085,14 +1085,14 @@ TEST(FlowLedger, RandomMultiOwnerCommitsMatchAModel) { EXPECT_EQ(LedgerAccess::commit(fg, owners[o], drafts), want_ids) << "step " << step; model[o] = after; next_id += fresh; - moved += fg.allocated() != before ? 1 : 0; + moved += fg.carried() != before ? 1 : 0; } else { // The refusal names one edge over its capacity, with its new total. std::vector refusals; for (std::size_t e = 0; e < m; ++e) { - if (total[e] <= g->capacity_units()[e]) continue; + if (total[e] <= g->edge_capacity_units()[e]) continue; refusals.push_back("ledger: infeasible commit on edge " + std::to_string(e) + " (" + std::to_string(total[e]) + - " of " + std::to_string(g->capacity_units()[e]) + ")"); + " of " + std::to_string(g->edge_capacity_units()[e]) + ")"); } const std::string got = logic_error_of([&] { (void)LedgerAccess::commit(fg, owners[o], drafts); }); EXPECT_TRUE(std::find(refusals.begin(), refusals.end(), got) != refusals.end()) << "step " << step << ": " << got; @@ -1106,9 +1106,9 @@ TEST(FlowLedger, RandomMultiOwnerCommitsMatchAModel) { for (std::size_t e = 0; e < m; ++e) want[e] += a[e]; } } - ASSERT_EQ(fg.allocated(), want) << "step " << step; + ASSERT_EQ(fg.carried(), want) << "step " << step; for (std::size_t e = 0; e < m; ++e) ASSERT_EQ(record_sum(fg, static_cast(e)), want[e]); - ASSERT_EQ(LedgerAccess::next_flow_id(fg), next_id); + ASSERT_EQ(LedgerAccess::next_record_counter(fg), next_id); // Every live record by id: its owner and its edge amounts are the model's. std::map>>> want_records; for (std::size_t q = 0; q < owners.size(); ++q) { @@ -1119,8 +1119,8 @@ TEST(FlowLedger, RandomMultiOwnerCommitsMatchAModel) { for (const auto& r : records) { const auto it = want_records.find(r.flow_id.second); ASSERT_NE(it, want_records.end()) << "step " << step << ": record " << r.flow_id.second; - EXPECT_EQ(r.owner, it->second.first) << "step " << step << ": record " << r.flow_id.second; - EXPECT_EQ(r.edges, it->second.second) << "step " << step << ": record " << r.flow_id.second; + EXPECT_EQ(r.policy_id, it->second.first) << "step " << step << ": record " << r.flow_id.second; + EXPECT_EQ(r.edge_flows, it->second.second) << "step " << step << ": record " << r.flow_id.second; } } EXPECT_GT(moved, 500); @@ -1141,7 +1141,7 @@ TEST(FlowLedger, FreshSingleRecordCommitsMatchTheGeneralRule) { const auto m = static_cast(g->num_edges()); FlowLedger fg(g); const auto other = LedgerAccess::bind(fg); - std::vector held {draft_on(dag, {{0, 1}, {2, 2}, {5, 1}})}; + std::vector held {draft_on(dag, {{0, 1}, {2, 2}, {5, 1}})}; (void)LedgerAccess::commit(fg, other, held); int shortcut = 0; // accepted non-empty drafts whose edges strictly ascend int general = 0; // accepted drafts that repeat or reorder an edge @@ -1174,21 +1174,21 @@ TEST(FlowLedger, FreshSingleRecordCommitsMatchTheGeneralRule) { if (std::find(touched.begin(), touched.end(), e) == touched.end()) touched.push_back(e); delta[static_cast(e)] += x; } - const auto before = fg.allocated(); + const auto before = fg.carried(); const LedgerState before_state = ledger_state(fg); - const auto next_id = LedgerAccess::next_flow_id(fg); + const auto next_id = LedgerAccess::next_record_counter(fg); if (want.empty()) { for (EdgeId e : touched) { const auto ei = static_cast(e); const Amount next = before[ei] + delta[ei]; - if (next < 0 || next > g->capacity_units()[ei]) { + if (next < 0 || next > g->edge_capacity_units()[ei]) { want = "ledger: infeasible commit on edge " + std::to_string(e) + " (" + std::to_string(next) + " of " + - std::to_string(g->capacity_units()[ei]) + ")"; + std::to_string(g->edge_capacity_units()[ei]) + ")"; break; } } } - std::vector drafts {draft_on(dag, edges)}; + std::vector drafts {draft_on(dag, edges)}; if (!want.empty()) { try { (void)LedgerAccess::commit(fg, owner, drafts); @@ -1207,9 +1207,9 @@ TEST(FlowLedger, FreshSingleRecordCommitsMatchTheGeneralRule) { for (const auto& p : edges) { if (p.second != 0) kept.push_back(p); } - EXPECT_EQ(rec.edges, kept) << "step " << step; - EXPECT_EQ(rec.owner, owner); - for (std::size_t e = 0; e < m; ++e) EXPECT_EQ(fg.allocated()[e], before[e] + delta[e]) << "step " << step; + EXPECT_EQ(rec.edge_flows, kept) << "step " << step; + EXPECT_EQ(rec.policy_id, owner); + for (std::size_t e = 0; e < m; ++e) EXPECT_EQ(fg.carried()[e], before[e] + delta[e]) << "step " << step; if (strictly && !edges.empty()) ++shortcut; if (!strictly) ++general; if (rng() % 2 == 0) (void)LedgerAccess::detach(fg, owner); @@ -1226,13 +1226,13 @@ TEST(FlowLedger, FreshSingleRecordCommitsMatchTheGeneralRule) { // general path and its rule (a fresh ledger). FlowLedger fg2(g); const auto owner = LedgerAccess::bind(fg2); - std::vector one {draft_on(dag, {{3, 1}})}; + std::vector one {draft_on(dag, {{3, 1}})}; const auto ids = LedgerAccess::commit(fg2, owner, one); - std::vector without_it {draft_on(dag, {{4, 1}})}; + std::vector without_it {draft_on(dag, {{4, 1}})}; const std::string must_carry = "ledger: a commit must carry every live record of its policy"; EXPECT_EQ(logic_error_of([&] { (void)LedgerAccess::commit(fg2, owner, without_it); }), must_carry); const auto fresh = LedgerAccess::bind(fg2); - std::vector claims {draft_on(dag, {{4, 1}}, ids[0].second)}; + std::vector claims {draft_on(dag, {{4, 1}}, ids[0].second)}; EXPECT_EQ(logic_error_of([&] { (void)LedgerAccess::commit(fg2, fresh, claims); }), must_carry); EXPECT_EQ(fg2.records().size(), 1U); LedgerAccess::release(fg2, owner); diff --git a/tests/cpp/flow_policy_fault_tests.cpp b/tests/cpp/flow_policy_fault_tests.cpp index 08d9971..615764b 100644 --- a/tests/cpp/flow_policy_fault_tests.cpp +++ b/tests/cpp/flow_policy_fault_tests.cpp @@ -1,26 +1,26 @@ -// Allocation-failure atomicity of the policy engine, the DagCache and the evaluators. +// Allocation-failure atomicity of the policy engine, the ShortestPathCache and the evaluators. // Exhaustive sweeps (each allocation fails once) cover the placement calls of the routing and -// kernel modes below (supplied programs of split routes and of crossing tunnels, Global with a +// kernel modes below (supplied programs of split routes and of crossing tunnels, CentralizedTE with a // support among them), with and without a static Eligibility; the full-offer calls evaluate, // replace and forward (with black holes) of every mode; the zero and empty-roster calls; the // policy construction, with and without a supplied building cache and an Eligibility; the -// DagCache construction and insertion; capacity() and batch_capacity() on one worker in every -// mode (batch_capacity: every mode but Pinned), without options, with an Eligibility and, in the -// CostOnly modes, with a supplied building cache; sensitivity() on one worker in one mode per +// ShortestPathCache construction and insertion; evaluate_demand() and evaluate_pairs() on one worker in every +// mode (evaluate_pairs: every mode but Pinned), without options, with an Eligibility and, in the +// ShortestPaths modes, with a supplied building cache; evaluate_edge_failures() on one worker in one mode per // routing model with the same options; and the frozen lookups. Sampled sweeps cover the other -// modes' sensitivity on one worker (every 11th allocation), the evaluators with 2 and 4 workers -// and the frozen-cache statistics: every 7th (batch_capacity; every 5th on a frozen cache), 11th -// (sensitivity) or step-th allocation in the process, and every third allocation of the worker +// modes' evaluate_edge_failures on one worker (every 11th allocation), the evaluators with 2 and 4 workers +// and the frozen-cache statistics: every 7th (evaluate_pairs; every 5th on a frozen cache), 11th +// (evaluate_edge_failures) or step-th allocation in the process, and every third allocation of the worker // threads only. The scratch-growth test sweeps every allocation of a placement on a 3,000-node // graph after warming up on a 3-node graph, on a fresh thread for each attempt. After each injected // std::bad_alloc the ledger (aggregate, residual, every record field, owners, next FlowId) and -// the policy's epoch state (requested, +inf, Global's cumulative curve, the installed program, the +// the policy's epoch state (requested, +inf, CentralizedTE's cumulative curve, the installed program, the // by_tunnel rows, and per flow its id, route cost and plan: route, members, weights) equal their // state before the call; a clean retry gives // the reference result (no poisoned per-thread scratch); and remove() leaves the ledger as the // reference's own remove() does. No failed call leaves an allocation live once its attempt's // objects are gone (a supplied building cache with its kept entries included). remove(), a -// policy's destruction and DagCache::clear() allocate nothing. A supplied building cache is a +// policy's destruction and ShortestPathCache::clear() allocate nothing. A supplied building cache is a // memo: it keeps the complete entries of the lookups that succeeded before the failure (with // their misses), never a partial one. The hook's worker-only mode, which the sweeps with several // workers use, is checked against the caller's own allocations. Runs in the fault-injection @@ -40,11 +40,11 @@ #include #include "fault_injection.hpp" -#include "netgraph/core/dag_cache.hpp" +#include "netgraph/core/shortest_path_cache.hpp" #include "netgraph/core/detail/ledger_access.hpp" #include "netgraph/core/detail/policy_engine.hpp" -#include "netgraph/core/detail/pred_dag_builder.hpp" -#include "netgraph/core/detail/traversal.hpp" +#include "netgraph/core/detail/route_builders.hpp" +#include "netgraph/core/detail/search_detail.hpp" #include "netgraph/core/evaluators.hpp" #include "netgraph/core/flow_ledger.hpp" #include "netgraph/core/flow_policy.hpp" @@ -60,7 +60,7 @@ namespace { // shared middle, a costlier bypass, and a second destination. Two links of capacity 0 (inputs 11 // and 12): 1 -> 6 ties source 1's other routes, so its shortest support (and every split there) // holds a zero-capacity member; 0 -> 5 is costlier than 0's routes and serves as an all-zero -// Pinned bundle (a Weighted plan without a member). +// Pinned route (a Weighted plan without a member). std::shared_ptr graph() { return std::make_shared( make_graph(7, {{0, 2, 6, 1}, {0, 3, 4, 1}, {1, 3, 5, 1}, {1, 4, 3, 1}, {2, 5, 3, 1}, {2, 5, 2, 1}, @@ -81,9 +81,9 @@ struct Mode { }; // The evaluators' options of a mode. -QueryOptions query_of(const Mode& m, const Eligibility* elig = nullptr, DagCache* cache = nullptr, +EvaluationOptions query_of(const Mode& m, const Eligibility* elig = nullptr, ShortestPathCache* cache = nullptr, OutputOptions outputs = {}) { - return QueryOptions {m.cfg, elig, cache, outputs, m.design, m.offered}; + return EvaluationOptions {m.cfg, elig, cache, outputs, m.design, m.offered}; } // A Pinned Lossy forwarding needs a finite offer (no first-hop experiment). @@ -91,42 +91,53 @@ bool finite_only(const Mode& m) { return std::holds_alternative(m.cfg.routing) && m.cfg.admission == Admission::Lossy; } +// ShortestPaths with an allocation and its other fields set by `edit`. +FlowPolicyConfig shortest(RouteAllocation k, Admission a, const std::function& edit = {}) { + ShortestPaths sp = shortest_paths(k); + if (edit) edit(sp); + return FlowPolicyConfig {sp, a}; +} + std::vector modes(const Graph& g) { std::vector out; - const auto det = PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity); - const auto res = PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Residual); const std::vector S = {0, 1}; const std::vector D = {5, 6}; - out.push_back({"costonly maxflow", {CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossless, det}, S, D}); + out.push_back({"costonly maxflow", shortest(RouteAllocation::Optimized, Admission::Lossless), S, D}); out.push_back({"costonly eb", cost_only_config(), S, D}); out.push_back({"costonly weighted residual", - {CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, res, std::nullopt, WeightBasis::ResidualSnapshot}, + shortest(RouteAllocation::Weighted, Admission::Lossless, + [](ShortestPaths& sp) { sp.weight_basis = WeightBasis::ResidualSnapshot; }), S, D}); - out.push_back({"costonly lossy", {CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy, det}, S, D}); - // Several sources: the deterministic single path (the pooled single-path rule rejects - // PreferHigherPriority with multipath false). + out.push_back({"costonly lossy", shortest(RouteAllocation::Equal, Admission::Lossy), S, D}); + // Several sources: the FEWER_HOPS single path (the pooled single-path rule rejects a HIGHER_* + // tie_break with multipath false). out.push_back({"costonly single path collapse", - {CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, - PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Residual, false, false)}, + shortest(RouteAllocation::Equal, Admission::Lossless, + [](ShortestPaths& sp) { + sp.multipath = false; + sp.parallel_edges = false; + }), S, D}); out.push_back({"global", global_config(), S, D}); - // The equal origin of the controllers: the bisection's probe solves and the final solve. - out.push_back({"global equal", {.routing = Global {}, .origin = Origin::Equal}, S, D}); + // The equal source allocation of the controllers: the bisection's probe solves and the final solve. + out.push_back({"global equal", {.routing = centralized(SourceAllocation::Equal)}, S, D}); out.push_back({"costonly maxflow equal", - {CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossless, det, Origin::Equal}, S, D}); + shortest(RouteAllocation::Optimized, Admission::Lossless, + [](ShortestPaths& sp) { sp.source_allocation = SourceAllocation::Equal; }), + S, D}); // Pooled Weighted Lossy: source 1's zero-capacity member has weight 0 (pruned), the shares // attributed across the shared routers. - out.push_back({"costonly weighted lossy", {CostOnly {}, FlowPlacement::Weighted, Admission::Lossy, det}, S, D}); + out.push_back({"costonly weighted lossy", shortest(RouteAllocation::Weighted, Admission::Lossy), S, D}); // Pinned over supplied programs: three split routes of source 0 (one all-zero: a Weighted - // route without a member), Lossless EqualBalanced and Lossy Weighted; and two sources' crossing + // route without a member), Lossless Equal and Lossy Weighted; and two sources' crossing // tunnels, Lossy, which meet on shared links (the general loss rule). const auto inv = id_of_input(g); const NodeId s0[1] = {0}; const NodeId d5[1] = {5}; - const std::vector split = {Route {0, dag_of(g, {inv[0], inv[4], inv[5]}), 1}, - Route {0, dag_of(g, {inv[1], inv[6]}), 2}, Route {0, dag_of(g, {inv[12]}), 1}}; + const std::vector split = {RouteDefinition {0, dag_of(g, {inv[0], inv[4], inv[5]}), 1}, + RouteDefinition {0, dag_of(g, {inv[1], inv[6]}), 2}, RouteDefinition {0, dag_of(g, {inv[12]}), 1}}; RouteOptions weighted; - weighted.placement = FlowPlacement::Weighted; + weighted.allocation = RouteAllocation::Weighted; out.push_back({"pinned eb split routes", {.routing = Pinned {ForwardingProgram::from_routes(g, s0, d5, split), nullptr}}, {0}, {5}}); out.push_back({"pinned lossy", @@ -138,39 +149,54 @@ std::vector modes(const Graph& g) { for (auto i : inputs) hops.push_back({inv[i]}); return std::make_shared(g, hops); }; - const std::vector crossing = {Route {0, walk({0, 10, 7}), 2}, Route {0, walk({1, 8}), 1}, - Route {1, walk({3, 7}), 1}, Route {1, walk({2, 8}), 1}}; + const std::vector crossing = {RouteDefinition {0, walk({0, 10, 7}), 2}, RouteDefinition {0, walk({1, 8}), 1}, + RouteDefinition {1, walk({3, 7}), 1}, RouteDefinition {1, walk({2, 8}), 1}}; out.push_back({"pinned tunnels lossy", {.routing = Pinned {ForwardingProgram::from_routes(g, S, std::vector {6}, crossing), nullptr}, .admission = Admission::Lossy}, S, {6}, std::optional {6}}); - out.push_back({"global support", {.routing = Global {dag_of(g, {inv[0], inv[1], inv[4], inv[6], inv[2]})}}, S, D}); - // CostOnly creation in one pass: its Collapse branch (multipath, multi_edge false, - // on the creation view) and its Weighted weights (Capacity priority). + out.push_back({"global support", {.routing = centralized(SourceAllocation::Optimized, dag_of(g, {inv[0], inv[1], inv[4], inv[6], inv[2]}))}, S, D}); + // Pinned over from_dag of the whole graph (a DAG): both sources pooled in one context, Lossless + // Equal and Lossy Weighted (the zero-capacity members pruned). + std::vector every(static_cast(g.num_edges())); + for (EdgeId e = 0; e < g.num_edges(); ++e) every[static_cast(e)] = e; + const auto whole = dag_of(g, every); + out.push_back({"pinned from_dag eb", {.routing = Pinned {ForwardingProgram::from_dag(g, S, D, whole), nullptr}}, S, D}); + out.push_back({"pinned from_dag weighted lossy", + {.routing = Pinned {ForwardingProgram::from_dag(g, S, D, whole, weighted), nullptr}, .admission = Admission::Lossy}, + S, D, std::optional {6}}); + // ShortestPaths creation in one pass: its Collapse branch (multipath, parallel_edges false, + // HIGHER_AVAILABLE_CAPACITY on the creation view) and its Weighted weights (capacity basis). out.push_back({"costonly eb multipath collapse", - {CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, - PathSelection(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, true, false)}, + shortest(RouteAllocation::Equal, Admission::Lossless, + [](ShortestPaths& sp) { + sp.tie_break = RouteTieBreak::HigherAvailableCapacity; + sp.parallel_edges = false; + }), S, D}); - out.push_back({"costonly weighted capacity", {CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, det}, S, D}); + out.push_back({"costonly weighted capacity", shortest(RouteAllocation::Weighted, Admission::Lossless), S, D}); out.push_back({"costonly weighted explicit", - {CostOnly {}, FlowPlacement::Weighted, Admission::Lossy, det, std::nullopt, WeightBasis::Explicit, - std::make_shared>(std::vector {3, 1, 2, 2, 1, 4, 2, 1, 1, 5, 2, 7, 3})}, + shortest(RouteAllocation::Weighted, Admission::Lossy, + [](ShortestPaths& sp) { + sp.weight_basis = WeightBasis::Explicit; + sp.edge_weights = std::make_shared>( + std::vector {3, 1, 2, 2, 1, 4, 2, 1, 1, 5, 2, 7, 3}); + }), S, D}); return out; } // T1's modes: they take no place, so their sweeps are their own (T1 below). Lossless with two -// tunnels per head; Lossy with three, PreferHigherPriority on the unreserved view without parallel -// links, a Stretch ceiling and a search minimum. +// tunnels per head; Lossy with three, HIGHER_AVAILABLE_CAPACITY on the unreserved view without +// parallel links, a CostStretch ceiling and a search minimum. std::vector t1_modes() { const std::vector S = {0, 1}; const std::vector D = {5, 6}; std::vector out; - out.push_back({"t1 lossless", {.routing = CapacityAware {Tunnels {2}}}, S, D, std::nullopt, Amount {8}}); + out.push_back({"t1 lossless", {.routing = DistributedTE {TunnelCount {2}}}, S, D, std::nullopt, Amount {8}}); out.push_back({"t1 lossy", - {.routing = CapacityAware {Tunnels {3}, Stretch {2.0}, 1}, - .admission = Admission::Lossy, - .selection = PathSelection(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, false)}, + {.routing = DistributedTE {TunnelCount {3}, CostStretch(2), 1, RouteTieBreak::HigherAvailableCapacity, false}, + .admission = Admission::Lossy}, S, D, Amount {6}, Amount {9}}); return out; } @@ -182,9 +208,9 @@ std::vector t2_modes() { const std::vector S = {0, 1}; const std::vector D = {5, 6}; std::vector out; - out.push_back({"t2 exact headroom", {.routing = Global {.tunnels = Tunnels {2}, .prefer_headroom = true}}, S, D, + out.push_back({"t2 exact headroom", {.routing = centralized(SourceAllocation::Equal, {}, TunnelCount {2}, true)}, S, D, std::nullopt, Amount {8}}); - out.push_back({"t2 up to lossy", {.routing = Global {.tunnels = Tunnels {2, true}}, .admission = Admission::Lossy}, + out.push_back({"t2 up to lossy", {.routing = centralized(SourceAllocation::Equal, {}, TunnelCount {2, true}), .admission = Admission::Lossy}, S, D, Amount {6}, Amount {9}}); return out; } @@ -213,24 +239,24 @@ Eligibility without_input_edge(const Graph& g, std::size_t position) { } // graph() without the costly bypass 0 -> 6 (input 9), and without the cross edge 2 -> 4 (input -// 10: batch_capacity's per-pair value, whose intersection with the first is a new value). +// 10: evaluate_pairs's per-pair value, whose intersection with the first is a new value). Eligibility without_bypass(const Graph& g) { return without_input_edge(g, 9); } Eligibility without_cross(const Graph& g) { return without_input_edge(g, 10); } -// A third party holding one unit on the first route's edges (Global on that route as its support). +// A third party holding one unit on the first route's edges (CentralizedTE on that route as its support). std::unique_ptr third_party(FlowLedger& fg, const Graph& g) { const auto inv = id_of_input(g); auto t = std::make_unique(fg, std::vector {0}, std::vector {5}, - FlowPolicyConfig {.routing = Global {dag_of(g, {inv[0], inv[4]})}}); + FlowPolicyConfig {.routing = centralized(SourceAllocation::Optimized, dag_of(g, {inv[0], inv[4]}))}); (void)t->place(1); return t; } } // namespace -// The sweeps below reach the zero-capacity paths (not vacuous): source 1's CostOnly EqualBalanced -// route holds the zero link 1 -> 6 as a member, and its sensitivity lists it; the all-zero Pinned -// bundle is usable, with no member under the Weighted kernel. +// The sweeps below reach the zero-capacity paths (not vacuous): source 1's ShortestPaths Equal +// route holds the zero link 1 -> 6 as a member, and its failure study lists it; the all-zero Pinned +// route is usable, with no member under the Weighted kernel. TEST(PolicyFaults, ZeroCapacityLinksTakePartInTheSweeps) { const auto g = graph(); const auto inv = id_of_input(*g); @@ -242,18 +268,18 @@ TEST(PolicyFaults, ZeroCapacityLinksTakePartInTheSweeps) { if (m.name == "costonly eb") { // The pooled program of both sources holds the zero link as a member. ASSERT_TRUE(pe.epoch.program != nullptr); - const auto& plan = *detail::ProgramAccess::data(*pe.epoch.program).contexts.front().plan; - EXPECT_EQ(vec(plan.roots), (std::vector {0, 1})); - EXPECT_TRUE(std::find(plan.members.begin(), plan.members.end(), inv[11]) != plan.members.end()); - const auto s = sensitivity(*g, m.sources, m.destinations, query_of(m), 1); + const auto& plan = *detail::ProgramAccess::data(*pe.epoch.program).split_contexts.front().prepared_route; + EXPECT_EQ(vec(plan.sources), (std::vector {0, 1})); + EXPECT_TRUE(std::find(plan.forwarding_edges.begin(), plan.forwarding_edges.end(), inv[11]) != plan.forwarding_edges.end()); + const auto s = evaluate_edge_failures(*g, m.sources, m.destinations, query_of(m), 1); EXPECT_TRUE(std::any_of(s.entries.begin(), s.entries.end(), [&](const auto& e) { return e.edge == inv[11]; })); } if (m.name == "pinned eb split routes" || m.name == "pinned lossy") { - // Three split routes, three records; the all-zero route keeps its EqualBalanced member and + // Three split routes, three records; the all-zero route keeps its Equal member and // has none under the Weighted kernel. - ASSERT_EQ(pe.view.data->contexts.size(), 3U) << m.name; - ASSERT_EQ(pe.epoch.cohorts.size(), 3U) << m.name; - EXPECT_EQ(pe.view.plan(2)->members.empty(), m.name == "pinned lossy") << m.name; + ASSERT_EQ(pe.view.data->split_contexts.size(), 3U) << m.name; + ASSERT_EQ(pe.epoch.record_groups.size(), 3U) << m.name; + EXPECT_EQ(pe.view.prepared_route(2)->forwarding_edges.empty(), m.name == "pinned lossy") << m.name; } } } @@ -330,12 +356,56 @@ TEST(PolicyFaults, EveryFullOfferCallFailsAtomically) { } } -// Lossy forwarding with links that wait on each other in a cycle (contract 9.4): the rounds' +// Lossy forwarding with links that wait on each other in a cycle: the rounds' // scratch, the independent check and the error path. CYC(x, y): tunnel 0 meets X (input edge 0) // before Y (input edge 3), tunnel 1 Y before X. With x = y = 1 the rounds settle: every // allocation of a replace(2) fails atomically. With weights 1, 2 and y = 2 the rounds alternate: // the period-two ValueError and every allocation failure before it publish nothing and leave no // allocation live. +// Building a from_dag program: the k-th allocation fails for every k in turn, before and after a +// complete build (nothing is cached between builds); a failure leaves no allocation live, and the +// build that completes gives the reference program (its roster, entries and lossless bound). +TEST(PolicyFaults, FromDagConstructionFailsCleanly) { + const auto g = graph(); + std::vector every(static_cast(g->num_edges())); + for (EdgeId e = 0; e < g->num_edges(); ++e) every[static_cast(e)] = e; + const auto whole = dag_of(*g, every); + const std::vector S = {0, 1}; + const std::vector D = {5, 6}; + RouteOptions weighted; + weighted.allocation = RouteAllocation::Weighted; + weighted.weight_basis = WeightBasis::ResidualSnapshot; + weighted.residual = std::vector(g->edge_capacity_units().begin(), g->edge_capacity_units().end()); + for (const auto& options : {RouteOptions {}, weighted}) { + const auto reference = ForwardingProgram::from_dag(*g, S, D, whole, options); + const auto bound = [&](const std::shared_ptr& prog) { + FlowLedger fg(g); + FlowPolicy p(fg, S, D, {.routing = Pinned {prog, nullptr}}); + return p.place(std::nullopt).call_delivered; + }; + const Amount want = bound(reference); + EXPECT_GT(want, 0); + for (int round = 0; round < 2; ++round) { + long injected = 0; + for (long k = 0;; ++k) { + const long live = g_live.load(); + std::shared_ptr made; + if (!fails_at(k, [&] { made = ForwardingProgram::from_dag(*g, S, D, whole, options); })) { + ASSERT_TRUE(made); + EXPECT_EQ(made->sources().size(), reference->sources().size()); + EXPECT_EQ(made->tunnels().size(), 0U); + EXPECT_EQ(bound(made), want); + break; + } + ++injected; + EXPECT_FALSE(made); + EXPECT_EQ(g_live.load(), live) << "allocation " << k; + } + EXPECT_GT(injected, 3); // not vacuous + } + } +} + TEST(PolicyFaults, CyclicLossyForwardingFailsAtomically) { auto cyc = [](Amount x, Amount y) { return shared(make_graph(6, {{0, 1, x, 1}, {1, 2, 1000, 1}, {1, 5, 1000, 1}, {2, 3, y, 1}, {3, 0, 1000, 1}, @@ -350,7 +420,7 @@ TEST(PolicyFaults, CyclicLossyForwardingFailsAtomically) { }; const NodeId s[1] = {4}; const NodeId d[1] = {5}; - const std::vector routes = {Route {4, walk({6, 0, 1, 3, 5}), 1}, Route {4, walk({7, 3, 4, 0, 2}), w1}}; + const std::vector routes = {RouteDefinition {4, walk({6, 0, 1, 3, 5}), 1}, RouteDefinition {4, walk({7, 3, 4, 0, 2}), w1}}; return ForwardingProgram::from_routes(g, s, d, routes); }; auto config = [](std::shared_ptr prog) { @@ -414,7 +484,7 @@ TEST(PolicyFaults, ZeroAndEmptyRosterCallsFailAtomically) { const OutputOptions all {true, true, true}; struct Case { bool swap; - std::optional volume; + std::optional offer; std::string name; }; const std::vector cases = {{false, 0, "zero"}, {true, 4, "empty roster"}, {true, std::nullopt, "empty roster +inf"}}; @@ -427,13 +497,13 @@ TEST(PolicyFaults, ZeroAndEmptyRosterCallsFailAtomically) { const auto setup = [&](FlowLedger& fg) { auto third = std::shared_ptr(third_party(fg, *g)); auto p = std::make_shared(fg, s, d, m.cfg); - if (c.swap) EXPECT_TRUE(detail::PolicyAccess::engine(*p).roster.empty()) << where; + if (c.swap) EXPECT_TRUE(detail::PolicyAccess::engine(*p).reachable_sources.empty()) << where; FlowPolicy* policy = p.get(); return Staged {std::make_shared, std::shared_ptr>>( std::move(third), std::move(p)), policy}; }; - const long injected = sweep_placement(g, where, setup, [&](FlowPolicy& p) { return p.place(c.volume, all); }); + const long injected = sweep_placement(g, where, setup, [&](FlowPolicy& p) { return p.place(c.offer, all); }); if (::testing::Test::HasFailure()) return; EXPECT_GT(injected, 0) << where; // not vacuous: every mode and case fails } @@ -446,16 +516,16 @@ TEST(PolicyFaults, ConstructionFailsWithoutBindingAndTheCacheStaysConsistent) { for (const auto& m : modes(*g)) { for (const int v : {0, 1, 2, 3}) { const bool with_cache = (v & 1) != 0; - if (with_cache && !std::holds_alternative(m.cfg.routing)) continue; // rejected (below) + if (with_cache && !std::holds_alternative(m.cfg.routing)) continue; // rejected (below) const Eligibility* elig = (v & 2) != 0 ? &no_bypass : nullptr; const std::string variant = std::string(with_cache ? " cached" : "") + (elig != nullptr ? " eligibility" : ""); // The reference: a clean construction on a fresh ledger and cache, then place(2). FlowLedger rf(g); - DagCache rc(*g); + ShortestPathCache rc(*g); FlowPolicy pr(rf, m.sources, m.destinations, m.cfg, elig, with_cache ? &rc : nullptr); - const DagCache::Stats fresh = rc.stats(); + const ShortestPathCache::Stats fresh = rc.stats(); const PlacementResult want = pr.place(2); - const LedgerState placed = ledger_state(rf); + const LedgerState after_place = ledger_state(rf); long injected = 0; int empty = 0; // failures that left the supplied cache empty, and that left its whole entry int whole = 0; @@ -468,11 +538,11 @@ TEST(PolicyFaults, ConstructionFailsWithoutBindingAndTheCacheStaysConsistent) { const long live = g_live.load(); { FlowLedger fg(g); - DagCache cache(*g); + ShortestPathCache cache(*g); const LedgerState before = ledger_state(fg); std::optional p; if (!fails_at(at, [&] { p.emplace(fg, m.sources, m.destinations, m.cfg, elig, with_cache ? &cache : nullptr); })) { - EXPECT_EQ(LedgerAccess::bound_owners(fg).size(), 1U); + EXPECT_EQ(LedgerAccess::bound_policy_ids(fg).size(), 1U); break; } ++injected; @@ -496,7 +566,7 @@ TEST(PolicyFaults, ConstructionFailsWithoutBindingAndTheCacheStaysConsistent) { EXPECT_EQ(cache.stats().entries, fresh.entries) << w; EXPECT_EQ(cache.stats().bytes, fresh.bytes) << w; expect_same(p->place(2), want, w); - expect_same(ledger_state(fg), placed, w); + expect_same(ledger_state(fg), after_place, w); expect_balanced(fg, w); } EXPECT_EQ(g_live.load(), live) << w << ": a leak"; @@ -510,19 +580,19 @@ TEST(PolicyFaults, ConstructionFailsWithoutBindingAndTheCacheStaysConsistent) { } } } - // Every CostOnly mode reads the supplied cache (an entry after a clean construction), and the - // memo outcomes above are checked for every CostOnly mode; the other modes reject a cache before + // Every ShortestPaths mode reads the supplied cache (an entry after a clean construction), and the + // memo outcomes above are checked for every ShortestPaths mode; the other modes reject a cache before // binding, without touching it. for (const auto& m : modes(*g)) { FlowLedger fg(g); - DagCache cache(*g); - if (std::holds_alternative(m.cfg.routing)) { + ShortestPathCache cache(*g); + if (std::holds_alternative(m.cfg.routing)) { const FlowPolicy p(fg, m.sources, m.destinations, m.cfg, nullptr, &cache); EXPECT_EQ(cache.stats().entries, 1) << m.name; } else { EXPECT_THROW(FlowPolicy(fg, m.sources, m.destinations, m.cfg, nullptr, &cache), std::invalid_argument) << m.name; EXPECT_EQ(cache.stats().entries, 0) << m.name; - EXPECT_TRUE(LedgerAccess::bound_owners(fg).empty()) << m.name; + EXPECT_TRUE(LedgerAccess::bound_policy_ids(fg).empty()) << m.name; } } } @@ -531,7 +601,7 @@ TEST(PolicyFaults, DagCacheInsertionIsAllOrNothing) { const auto g = graph(); const std::vector roots = {5, 6}; { // clean searches first grow this thread's search scratch, which outlives the attempts - DagCache warm(*g); + ShortestPathCache warm(*g); (void)warm.lookup(*g, std::vector {5}, Direction::Reverse, nullptr); (void)warm.lookup(*g, roots, Direction::Reverse, nullptr); } @@ -543,10 +613,10 @@ TEST(PolicyFaults, DagCacheInsertionIsAllOrNothing) { const long live = g_live.load(); bool failed = false; { - DagCache cache(*g); + ShortestPathCache cache(*g); (void)cache.lookup(*g, std::vector {5}, Direction::Reverse, nullptr); // one entry before const auto before = cache.stats(); - std::shared_ptr got; + std::shared_ptr got; failed = fails_at(at, [&] { got = cache.lookup(*g, roots, Direction::Reverse, nullptr); }); if (!failed) { EXPECT_EQ(cache.stats().entries, 2); @@ -571,14 +641,14 @@ TEST(PolicyFaults, DagCacheInsertionIsAllOrNothing) { EXPECT_GE(injected, 2); // the key (allocation 0) and at least one allocation after it } -// A failed DagCache construction (its allocations: the counter of live values that every value's +// A failed ShortestPathCache construction (its allocations: the counter of live values that every value's // deleter shares, and on MSVC the map's own) builds nothing and leaks nothing; clear() and // freeze()/thaw() make no allocation. TEST(PolicyFaults, DagCacheConstructionFailsWithoutALeakAndClearNeverAllocates) { const auto g = graph(); long injected = 0; for (long at = 0;; ++at) { - std::optional cache; + std::optional cache; const long live = g_live.load(); if (!fails_at(at, [&] { cache.emplace(*g); })) { ASSERT_TRUE(cache.has_value()); @@ -590,7 +660,7 @@ TEST(PolicyFaults, DagCacheConstructionFailsWithoutALeakAndClearNeverAllocates) EXPECT_EQ(g_live.load(), live) << "allocation " << at << ": a leak"; } EXPECT_GE(injected, 1); // the counter (MSVC's map adds its own) - DagCache cache(*g); + ShortestPathCache cache(*g); const auto held = cache.lookup(*g, std::vector {5}, Direction::Reverse, nullptr); (void)cache.lookup(*g, std::vector {5, 6}, Direction::Reverse, nullptr); ASSERT_EQ(cache.stats().entries, 2); @@ -642,7 +712,7 @@ long sweep_evaluator(const std::string& name, std::int32_t workers, bool in_work return failures; } -// The options of an evaluator sweep: none, a static Eligibility (for batch_capacity also a +// The options of an evaluator sweep: none, a static Eligibility (for evaluate_pairs also a // per-pair value, so each pair's intersection is a new value), or a supplied building cache (one // worker; a fresh cache before each attempt). A building cache is a memo: after a failed call it // holds whole entries only (no value alive outside it), some failed calls keep the entries of the @@ -660,13 +730,13 @@ std::vector option_sets(const Eligibility& no_bypass, const Eligibility // A supplied building cache after a failed call: whole entries only, no more than a clean call // leaves. -void expect_whole_entries(const DagCache::Stats& s, std::int64_t clean, const std::string& where) { +void expect_whole_entries(const ShortestPathCache::Stats& s, std::int64_t clean, const std::string& where) { EXPECT_LE(s.entries, clean) << where; EXPECT_EQ(s.live_values, s.entries) << where; if (s.entries == 0) EXPECT_EQ(s.bytes, 0) << where; } -void expect_whole_entries(const std::optional& cache, std::int64_t clean, const std::string& where) { +void expect_whole_entries(const std::optional& cache, std::int64_t clean, const std::string& where) { if (cache) expect_whole_entries(cache->stats(), clean, where); } @@ -675,10 +745,10 @@ long sweep_batch(const Mode& m, const Graph& g, std::span wo const std::vector, std::vector>> pairs = { {m.sources, m.destinations}, {{1}, {6}}, {{0}, {5}}}; const std::vector per_pair(o.per_pair != nullptr ? pairs.size() : 0, o.per_pair); - std::optional cache; + std::optional cache; const auto opts = [&] { return query_of(m, o.elig, cache ? &*cache : nullptr); }; if (o.cache) cache.emplace(g); - const auto want = batch_capacity(g, pairs, opts(), per_pair, 1); + const auto want = evaluate_pairs(g, pairs, opts(), per_pair, 1); const std::int64_t clean = cache ? cache->stats().entries : 0; cache.reset(); // each attempt gets a fresh one (setup) const std::string name = m.name + " batch" + o.name; @@ -688,11 +758,11 @@ long sweep_batch(const Mode& m, const Graph& g, std::span wo for (const bool in_workers : {false, true}) { if (in_workers && workers == 1) continue; // one worker runs on the calling thread const long failures = sweep_evaluator( - name, workers, in_workers, step, [&](std::int32_t w) { (void)batch_capacity(g, pairs, opts(), per_pair, w); }, + name, workers, in_workers, step, [&](std::int32_t w) { (void)evaluate_pairs(g, pairs, opts(), per_pair, w); }, [&](std::int32_t w) { expect_whole_entries(cache, clean, name + " failed call"); if (cache && cache->stats().entries > 0) ++kept; - const auto b = batch_capacity(g, pairs, opts(), per_pair, w); + const auto b = evaluate_pairs(g, pairs, opts(), per_pair, w); ASSERT_EQ(b.size(), want.size()); for (std::size_t i = 0; i < b.size(); ++i) expect_same(b[i], want[i], name + " retry"); if (cache) EXPECT_EQ(cache->stats().entries, clean) << name << " retry"; @@ -709,12 +779,12 @@ long sweep_batch(const Mode& m, const Graph& g, std::span wo return attempts; } -long sweep_sensitivity(const Mode& m, const Graph& g, std::span workers_set, long step, +long sweep_edge_failures(const Mode& m, const Graph& g, std::span workers_set, long step, const Options& o = {}) { - std::optional cache; + std::optional cache; const auto opts = [&] { return query_of(m, o.elig, cache ? &*cache : nullptr); }; if (o.cache) cache.emplace(g); - const auto want = sensitivity(g, m.sources, m.destinations, opts(), 1); + const auto want = evaluate_edge_failures(g, m.sources, m.destinations, opts(), 1); const std::int64_t clean = cache ? cache->stats().entries : 0; cache.reset(); // each attempt gets a fresh one (setup) const std::string name = m.name + " sensitivity" + o.name; @@ -725,16 +795,16 @@ long sweep_sensitivity(const Mode& m, const Graph& g, std::spanstats().entries > 0) ++kept; - const auto s = sensitivity(g, m.sources, m.destinations, opts(), w); + const auto s = evaluate_edge_failures(g, m.sources, m.destinations, opts(), w); expect_same(s.baseline, want.baseline, name + " retry"); ASSERT_EQ(s.entries.size(), want.entries.size()); for (std::size_t i = 0; i < s.entries.size(); ++i) { EXPECT_EQ(s.entries[i].edge, want.entries[i].edge) << name; - EXPECT_EQ(s.entries[i].loss, want.entries[i].loss) << name; + EXPECT_EQ(s.entries[i].delivery_reduction, want.entries[i].delivery_reduction) << name; } }, [&] { @@ -786,34 +856,34 @@ TEST(FaultHook, WorkerOnlyModeFailsOnlyWorkerAllocations) { EXPECT_EQ(failures_of([&] { (void)reaches_in_workers_at(1000, [] { throw std::bad_alloc(); }, bad_alloc); }), 1); } -// Every allocation of capacity and batch_capacity on one worker fails once, for every mode, without -// options, with a static Eligibility and (for CostOnly, the one routing model that reads a cache) -// with a supplied building cache. sensitivity repeats capacity's work once per candidate edge, so +// Every allocation of evaluate_demand and evaluate_pairs on one worker fails once, for every mode, without +// options, with a static Eligibility and (for ShortestPaths, the one routing model that reads a cache) +// with a supplied building cache. evaluate_edge_failures repeats evaluate_demand's work once per candidate edge, so // its exhaustive sweep runs on one mode per routing model with the same options (every allocation -// site of its own code: the deletion values, the intersections, the CostOnly skip, the per- +// site of its own code: the deletion values, the intersections, the ShortestPaths skip, the per- // candidate cache clear); the other modes fail at every 11th allocation. TEST(PolicyFaults, EvaluatorsLeaveNoPoisonedScratch) { const auto g = graph(); const Eligibility no_bypass = without_bypass(*g); const Eligibility no_cross = without_cross(*g); const std::int32_t one[] = {1}; - const std::vector exhaustive_sensitivity = {"costonly eb", "global", "pinned eb split routes", + const std::vector exhaustive_edge_failures = {"costonly eb", "global", "pinned eb split routes", "pinned tunnels lossy"}; - int swept_sensitivity = 0; + int swept_edge_failures = 0; long attempts = 0; for (const auto& m : modes(*g)) { - const bool reads_cache = std::holds_alternative(m.cfg.routing); - const bool every_sensitivity_allocation = - std::find(exhaustive_sensitivity.begin(), exhaustive_sensitivity.end(), m.name) != exhaustive_sensitivity.end(); + const bool reads_cache = std::holds_alternative(m.cfg.routing); + const bool every_edge_failures_allocation = + std::find(exhaustive_edge_failures.begin(), exhaustive_edge_failures.end(), m.name) != exhaustive_edge_failures.end(); for (const auto& o : option_sets(no_bypass, no_cross)) { if (o.cache && !reads_cache) continue; const std::string name = m.name + " capacity" + o.name; - std::optional cache; + std::optional cache; const auto copts = [&] { return query_of(m, o.elig, cache ? &*cache : nullptr, OutputOptions {true, true, true}); }; if (o.cache) cache.emplace(*g); - const auto want = capacity(*g, m.sources, m.destinations, copts()); + const auto want = evaluate_demand(*g, m.sources, m.destinations, copts()); const std::int64_t clean = cache ? cache->stats().entries : 0; if (o.cache) EXPECT_GT(clean, 0) << name; // the cache is read cache.reset(); // each attempt supplies a fresh one @@ -830,7 +900,7 @@ TEST(PolicyFaults, EvaluatorsLeaveNoPoisonedScratch) { bool failed = false; { PlacementResult got; - failed = fails_at(at, [&] { got = capacity(*g, m.sources, m.destinations, copts()); }); + failed = fails_at(at, [&] { got = evaluate_demand(*g, m.sources, m.destinations, copts()); }); if (!failed) { expect_same(got, want, name + " (no failure)"); } else { @@ -845,7 +915,7 @@ TEST(PolicyFaults, EvaluatorsLeaveNoPoisonedScratch) { EXPECT_EQ(s.hits, 0) << w; } } - expect_same(capacity(*g, m.sources, m.destinations, copts()), want, w + " (retry)"); + expect_same(evaluate_demand(*g, m.sources, m.destinations, copts()), want, w + " (retry)"); if (cache) EXPECT_EQ(cache->stats().entries, clean) << w; } } @@ -859,17 +929,71 @@ TEST(PolicyFaults, EvaluatorsLeaveNoPoisonedScratch) { EXPECT_GT(empty, 0) << name; } if (!std::holds_alternative(m.cfg.routing)) attempts += sweep_batch(m, *g, one, 1, o); // batch rejects Pinned - if (every_sensitivity_allocation) { - attempts += sweep_sensitivity(m, *g, one, 1, o); - ++swept_sensitivity; + if (every_edge_failures_allocation) { + attempts += sweep_edge_failures(m, *g, one, 1, o); + ++swept_edge_failures; } else if (o.elig == nullptr && !o.cache) { - attempts += sweep_sensitivity(m, *g, one, 11, o); + attempts += sweep_edge_failures(m, *g, one, 11, o); } if (::testing::Test::HasFailure()) return; } } RecordProperty("allocation_attempts", std::to_string(attempts)); - EXPECT_EQ(swept_sensitivity, 3 * 2 + 3); // three modes with two option sets, CostOnly's with three + EXPECT_EQ(swept_edge_failures, 3 * 2 + 3); // three modes with two option sets, ShortestPaths's with three +} + +namespace { + +// The evaluators at a finite offer: every allocation of evaluate_edge_failures (workers 1 and 2, +// the calling thread's and the workers') and of evaluate_pairs fails once, and the retry on the +// same, grown threads gives the clean result. `offers` gives each offer as a share of the model's +// uncapped maximum: below (top / 2), at (top) or above (top + 3). +long sweep_finite_offers(const Graph& g, const std::string& name, std::initializer_list offers, int& swept) { + const std::int32_t workers[] = {1, 2}; + long attempts = 0; + for (const auto& base : modes(g)) { + if (base.name != name) continue; + Mode uncapped = base; + uncapped.offered.reset(); + const Amount top = evaluate_demand(g, base.sources, base.destinations, query_of(uncapped)).call_delivered; + EXPECT_GT(top, 2) << base.name; + for (const int which : offers) { + const Amount offer = which < 0 ? top / 2 : (which == 0 ? top : top + 3); + Mode m = base; + m.name = base.name + " offer " + std::to_string(offer); + m.offered = std::optional> {std::in_place, offer}; + attempts += sweep_edge_failures(m, g, workers, 1); + attempts += sweep_batch(m, g, workers, 1); + ++swept; + if (::testing::Test::HasFailure()) return attempts; + } + } + return attempts; +} + +} // namespace + +// Optimized CentralizedTE below and at its maximum (each deletion solved afresh at the binding +// offer) and above it (the baseline is a maximum flow, repaired per deletion). +TEST(PolicyFaults, FiniteOfferControllerFailureStudyFailsAtomically) { + const auto g = graph(); + int swept = 0; + const long attempts = sweep_finite_offers(*g, "global", {-1, 0, 1}, swept); + EXPECT_EQ(swept, 3); + RecordProperty("allocation_attempts", std::to_string(attempts)); +} + +// The models that solve every deletion afresh, at a binding offer below their maximum. +TEST(PolicyFaults, FiniteOfferEvaluatorsFailAtomically) { + const auto g = graph(); + int swept = 0; + long attempts = 0; + for (const char* name : {"costonly maxflow", "costonly eb", "global equal"}) { + attempts += sweep_finite_offers(*g, name, {-1}, swept); + if (::testing::Test::HasFailure()) return; + } + EXPECT_EQ(swept, 3); + RecordProperty("allocation_attempts", std::to_string(attempts)); } TEST(PolicyFaults, BatchWorkersFailWithoutTerminating) { @@ -887,7 +1011,7 @@ TEST(PolicyFaults, SensitivityWorkersFailWithoutTerminating) { const std::int32_t several[] = {2, 4}; long attempts = 0; for (const auto& m : modes(*g)) { - attempts += sweep_sensitivity(m, *g, several, 11); + attempts += sweep_edge_failures(m, *g, several, 11); if (::testing::Test::HasFailure()) return; } RecordProperty("allocation_attempts", std::to_string(attempts)); @@ -928,13 +1052,13 @@ void expect_scratch_growth_failure_leaves_nothing_half_grown( want_state = ledger_state(fg); want_epoch = epoch(p); } - ASSERT_EQ(want.placed, 2); // the whole chain carries the request: the comparison is not of zeros + ASSERT_EQ(want.call_delivered, 2); // the whole chain carries the request: the comparison is not of zeros sweep_scratch_growth( name + " placement", [&] { FlowLedger fg(small); FlowPolicy p(fg, std::vector {0}, std::vector {2}, config(*small)); - EXPECT_EQ(p.place(2, all).placed, 2); + EXPECT_EQ(p.place(2, all).call_delivered, 2); }, [&](long at, const std::string& w) { FlowLedger fg(large); @@ -970,7 +1094,7 @@ void expect_scratch_growth_failure_leaves_nothing_half_grown( }); } -// A split kernel's placement (CostOnly EqualBalanced): the working residual and the kernels' +// A split kernel's placement (ShortestPaths Equal): the working residual and the kernels' // scratch. TEST(PolicyFaults, ScratchGrowthFailureLeavesNothingHalfGrown) { expect_scratch_growth_failure_leaves_nothing_half_grown("costonly eb", @@ -978,22 +1102,22 @@ TEST(PolicyFaults, ScratchGrowthFailureLeavesNothingHalfGrown) { } // A controller's placement also grows the decomposition's per-thread scratch (cursors, range ends, -// destination and slot marks, each grown on its own): Global over every edge (positions are -// EdgeIds) and Global on a support (positions index the support). +// destination and slot marks, each grown on its own): CentralizedTE over every edge (positions are +// EdgeIds) and CentralizedTE on a support (positions index the support). TEST(PolicyFaults, ControllerScratchGrowthFailureLeavesNothingHalfGrown) { expect_scratch_growth_failure_leaves_nothing_half_grown("global", [](const Graph&) { return global_config(); }); if (::testing::Test::HasFailure()) return; expect_scratch_growth_failure_leaves_nothing_half_grown("global support", [](const Graph& g) { - return FlowPolicyConfig {.routing = Global {all_edges(g)}}; + return FlowPolicyConfig {.routing = centralized(SourceAllocation::Optimized, all_edges(g))}; }); } TEST(PolicyFaults, FrozenLookupsFailWithoutCounting) { // A frozen lookup allocates a key only for roots that are not already a sorted set (a sorted set - // is borrowed: nothing), and a frozen miss builds the DagCacheMiss message, all before counting: + // is borrowed: nothing), and a frozen miss builds the ShortestPathCacheMiss message, all before counting: // a failure there counts nothing and changes no entry; a clean retry counts. const auto g = graph(); - DagCache cache(*g); + ShortestPathCache cache(*g); const std::vector unsorted = {6, 5}; const std::vector sorted = {5, 6}; const std::vector absent = {5}; @@ -1011,7 +1135,7 @@ TEST(PolicyFaults, FrozenLookupsFailWithoutCounting) { const auto call = [&] { try { if (cache.lookup(*g, hit ? present : absent, Direction::Reverse, nullptr).get() != value.get()) ADD_FAILURE(); - } catch (const DagCacheMiss&) { + } catch (const ShortestPathCacheMiss&) { missed = true; } }; @@ -1042,22 +1166,22 @@ TEST(PolicyFaults, FrozenLookupsFailWithoutCounting) { namespace { -void expect_stats(const DagCache::Stats& got, const DagCache::Stats& want, const std::string& where) { +void expect_stats(const ShortestPathCache::Stats& got, const ShortestPathCache::Stats& want, const std::string& where) { EXPECT_EQ(stats_of(got), stats_of(want)) << where << " (hits, misses, entries, bytes, live values)"; } // One public call reading a supplied frozen cache, under every injected failure (every `step`-th // allocation in any thread, or every third in the worker threads only): a call failing with // std::bad_alloc leaves all five statistics as they were and no allocation live; the call that -// completes adds exactly `hits` hits, or, when its outcome is the DagCacheMiss (`miss`), exactly +// completes adds exactly `hits` hits, or, when its outcome is the ShortestPathCacheMiss (`miss`), exactly // one miss and no hit. A clean call before the sweep grows the calling thread's scratch, which // outlives the attempts (the workers' scratch ends with their threads). Returns the number of // injected failures. -long sweep_frozen_stats(const std::string& name, const DagCache& cache, bool in_workers, long step, std::int64_t hits, +long sweep_frozen_stats(const std::string& name, const ShortestPathCache& cache, bool in_workers, long step, std::int64_t hits, bool miss, const std::function& call) { try { call(); - } catch (const DagCacheMiss&) { + } catch (const ShortestPathCacheMiss&) { } long failures = 0; for (long at = 0;; at += in_workers ? 3 : step) { @@ -1068,7 +1192,7 @@ long sweep_frozen_stats(const std::string& name, const DagCache& cache, bool in_ const auto fn = [&] { try { call(); - } catch (const DagCacheMiss&) { + } catch (const ShortestPathCacheMiss&) { missed = true; } }; @@ -1098,47 +1222,47 @@ long sweep_frozen_stats(const std::string& name, const DagCache& cache, bool in_ // the five statistics changed; expect_whole_entries more entries than a clean call leaves, a // value alive outside the cache, and payload bytes without an entry. TEST(PolicyFaults, TheCacheComparatorsReportEveryDefect) { - const DagCache::Stats s {3, 2, 1, 40, 1}; + const ShortestPathCache::Stats s {3, 2, 1, 40, 1}; EXPECT_EQ(failures_of([&] { expect_stats(s, s, "same"); }), 0); - const std::vector> fields = { + const std::vector> fields = { [](auto& x) { ++x.hits; }, [](auto& x) { ++x.misses; }, [](auto& x) { ++x.entries; }, [](auto& x) { ++x.bytes; }, [](auto& x) { ++x.live_values; }, }; for (std::size_t k = 0; k < fields.size(); ++k) { - DagCache::Stats x = s; + ShortestPathCache::Stats x = s; fields[k](x); EXPECT_GT(failures_of([&] { expect_stats(x, s, "stats"); }), 0) << "statistic " << k; } EXPECT_EQ(failures_of([&] { expect_whole_entries(s, 1, "whole"); }), 0); - EXPECT_EQ(failures_of([&] { expect_whole_entries(DagCache::Stats {0, 0, 0, 0, 0}, 1, "empty"); }), 0); + EXPECT_EQ(failures_of([&] { expect_whole_entries(ShortestPathCache::Stats {0, 0, 0, 0, 0}, 1, "empty"); }), 0); EXPECT_GT(failures_of([&] { expect_whole_entries(s, 0, "more entries than a clean call"); }), 0); - EXPECT_GT(failures_of([&] { expect_whole_entries(DagCache::Stats {3, 2, 1, 40, 2}, 1, "a value outside"); }), 0); - EXPECT_GT(failures_of([&] { expect_whole_entries(DagCache::Stats {3, 2, 0, 40, 0}, 1, "bytes, no entry"); }), 0); + EXPECT_GT(failures_of([&] { expect_whole_entries(ShortestPathCache::Stats {3, 2, 1, 40, 2}, 1, "a value outside"); }), 0); + EXPECT_GT(failures_of([&] { expect_whole_entries(ShortestPathCache::Stats {3, 2, 0, 40, 0}, 1, "bytes, no entry"); }), 0); } TEST(PolicyFaults, FrozenStatisticsFollowThePublicCall) { // A frozen cache's statistics are observable state (the memo allowance of a building cache // does not cover them). Every public call that can read a supplied frozen cache is swept: the - // policy constructor and capacity in every CostOnly mode (the other models reject a cache before - // reading it, statistics unchanged); batch_capacity at 1, 2 and 4 workers, in any - // thread and in the worker threads only, with and without a miss; CostOnly sensitivity without - // a re-evaluated deletion at 1, 2 and 4 workers in any thread; and CostOnly sensitivity whose + // policy constructor and evaluate_demand in every ShortestPaths mode (the other models reject a cache before + // reading it, statistics unchanged); evaluate_pairs at 1, 2 and 4 workers, in any + // thread and in the worker threads only, with and without a miss; ShortestPaths' failure study without + // a re-evaluated deletion at 1, 2 and 4 workers in any thread; and ShortestPaths' failure study whose // deletions miss at 1 worker in any thread and at 2 and 4 workers in the worker threads only. // Hits, misses, entries, bytes and live values after a failed call equal those before it. const auto g = graph(); const auto all = modes(*g); - DagCache cache(*g); + ShortestPathCache cache(*g); for (const auto& t : {std::vector {5, 6}, std::vector {6}, std::vector {5}}) { (void)cache.lookup(*g, t, Direction::Reverse, nullptr); } cache.freeze(); - const auto reads = [](const Mode& m) -> std::int64_t { return std::holds_alternative(m.cfg.routing) ? 1 : 0; }; + const auto reads = [](const Mode& m) -> std::int64_t { return std::holds_alternative(m.cfg.routing) ? 1 : 0; }; for (const auto& m : all) { - if (!std::holds_alternative(m.cfg.routing)) { + if (!std::holds_alternative(m.cfg.routing)) { const auto before = cache.stats(); FlowLedger fg(g); EXPECT_THROW(FlowPolicy(fg, m.sources, m.destinations, m.cfg, nullptr, &cache), std::invalid_argument) << m.name; - EXPECT_THROW((void)capacity(*g, m.sources, m.destinations, query_of(m, nullptr, &cache)), + EXPECT_THROW((void)evaluate_demand(*g, m.sources, m.destinations, query_of(m, nullptr, &cache)), std::invalid_argument) << m.name; expect_stats(cache.stats(), before, m.name + " rejected"); @@ -1149,15 +1273,15 @@ TEST(PolicyFaults, FrozenStatisticsFollowThePublicCall) { FlowPolicy p(fg, m.sources, m.destinations, m.cfg, nullptr, &cache); }); EXPECT_GT(built, 2) << m.name; - const QueryOptions opts {m.cfg, nullptr, &cache, OutputOptions {true, true, true}}; - const long placed = sweep_frozen_stats(m.name + " frozen capacity", cache, false, 3, reads(m), false, - [&] { (void)capacity(*g, m.sources, m.destinations, opts); }); - EXPECT_GT(placed, 2) << m.name; + const EvaluationOptions opts {m.cfg, nullptr, &cache, OutputOptions {true, true, true}}; + const long frozen_failures = sweep_frozen_stats(m.name + " frozen capacity", cache, false, 3, reads(m), false, + [&] { (void)evaluate_demand(*g, m.sources, m.destinations, opts); }); + EXPECT_GT(frozen_failures, 2) << m.name; if (::testing::Test::HasFailure()) return; } - // A CostOnly policy whose key is absent: the constructor's outcome is the miss. + // A ShortestPaths policy whose key is absent: the constructor's outcome is the miss. const auto& eb = all[1]; // costonly eb - ASSERT_TRUE(std::holds_alternative(eb.cfg.routing)); + ASSERT_TRUE(std::holds_alternative(eb.cfg.routing)); const std::vector absent = {4}; EXPECT_GT(sweep_frozen_stats("frozen construction miss", cache, false, 1, 0, true, [&] { @@ -1165,7 +1289,7 @@ TEST(PolicyFaults, FrozenStatisticsFollowThePublicCall) { FlowPolicy p(fg, eb.sources, absent, eb.cfg, nullptr, &cache); }), 1); - const QueryOptions shared {eb.cfg, nullptr, &cache}; + const EvaluationOptions shared {eb.cfg, nullptr, &cache}; const std::vector, std::vector>> pairs = { {eb.sources, eb.destinations}, {{1}, {6}}, {{0}, {5}}}; // Pair 0 hits, pair 1 misses: a lower pair's hit is not kept by the failed batch. @@ -1176,29 +1300,29 @@ TEST(PolicyFaults, FrozenStatisticsFollowThePublicCall) { if (in_workers && workers == 1) continue; // one worker runs on the calling thread const std::string w = " workers " + std::to_string(workers); EXPECT_GT(sweep_frozen_stats("frozen batch" + w, cache, in_workers, 5, 3, false, - [&] { (void)batch_capacity(*g, pairs, shared, {}, workers); }), + [&] { (void)evaluate_pairs(*g, pairs, shared, {}, workers); }), 2) << w; EXPECT_GT(sweep_frozen_stats("frozen batch with a miss" + w, cache, in_workers, 3, 0, true, - [&] { (void)batch_capacity(*g, with_miss, shared, {}, workers); }), + [&] { (void)evaluate_pairs(*g, with_miss, shared, {}, workers); }), 1) << w; if (::testing::Test::HasFailure()) return; } - // CostOnly sensitivity from a source that reaches no destination: one lookup (the baseline's + // ShortestPaths' failure study from a source that reaches no destination: one lookup (the baseline's // hit), no placed deletion, and the call succeeds; its failures happen after the hit. EXPECT_GT(sweep_frozen_stats("frozen costonly sensitivity" + std::string(" workers ") + std::to_string(workers), cache, false, 3, 1, false, [&] { - (void)sensitivity(*g, std::vector {5}, std::vector {6}, - QueryOptions {eb.cfg, nullptr, &cache}, workers); + (void)evaluate_edge_failures(*g, std::vector {5}, std::vector {6}, + EvaluationOptions {eb.cfg, nullptr, &cache}, workers); }), 2); } - // CostOnly sensitivity whose deletions miss (a fresh uid per deletion): the baseline's hit is + // ShortestPaths' failure study whose deletions miss (a fresh uid per deletion): the baseline's hit is // dropped with the failed call, and the miss counts once. const auto costonly_miss = [&](std::int32_t workers) { - (void)sensitivity(*g, eb.sources, eb.destinations, QueryOptions {eb.cfg, nullptr, &cache}, workers); + (void)evaluate_edge_failures(*g, eb.sources, eb.destinations, EvaluationOptions {eb.cfg, nullptr, &cache}, workers); }; EXPECT_GT(sweep_frozen_stats("frozen costonly sensitivity miss", cache, false, 1, 0, true, [&] { costonly_miss(1); }), 2); @@ -1220,7 +1344,7 @@ TEST(PolicyFaults, FrozenStatisticsFollowThePublicCall) { [&] { try { costonly_miss(workers); - } catch (const DagCacheMiss&) { + } catch (const ShortestPathCacheMiss&) { missed = true; } }, @@ -1241,78 +1365,78 @@ TEST(PolicyFaults, FrozenStatisticsFollowThePublicCall) { } TEST(PolicyFaults, WorkersSharingAFrozenCacheFailCleanly) { - // batch_capacity with a frozen cache shared by two and four workers, a failure anywhere or in - // the worker threads only, then CostOnly sensitivity with that cache on one worker (its + // evaluate_pairs with a frozen cache shared by two and four workers, a failure anywhere or in + // the worker threads only, then ShortestPaths' failure study with that cache on one worker (its // statistics with two and four workers: the test above): the failure propagates as // std::bad_alloc after the join, the cache keeps its entries, and a clean retry gives the - // reference. Global sensitivity, which reads no cache, rejects it before any worker starts. + // reference. CentralizedTE's failure study, which reads no cache, rejects it before any worker starts. const auto g = graph(); const auto all = modes(*g); const auto& m = all[1]; // costonly eb: reads the cache const std::vector, std::vector>> pairs = { {m.sources, m.destinations}, {{1}, {6}}, {{0}, {5}}}; - DagCache cache(*g); + ShortestPathCache cache(*g); for (const auto& [s, t] : pairs) (void)cache.lookup(*g, t, Direction::Reverse, nullptr); const auto entries = cache.stats().entries; cache.freeze(); - const auto want = batch_capacity(*g, pairs, query_of(m), {}, 1); - const QueryOptions shared {m.cfg, nullptr, &cache}; + const auto want = evaluate_pairs(*g, pairs, query_of(m), {}, 1); + const EvaluationOptions shared {m.cfg, nullptr, &cache}; for (const std::int32_t workers : {2, 4}) { for (const bool in_workers : {false, true}) { const long failures = sweep_evaluator( "frozen batch", workers, in_workers, 5, - [&](std::int32_t w) { (void)batch_capacity(*g, pairs, shared, {}, w); }, + [&](std::int32_t w) { (void)evaluate_pairs(*g, pairs, shared, {}, w); }, [&](std::int32_t w) { EXPECT_EQ(cache.stats().entries, entries); - const auto b = batch_capacity(*g, pairs, shared, {}, w); + const auto b = evaluate_pairs(*g, pairs, shared, {}, w); ASSERT_EQ(b.size(), want.size()); for (std::size_t i = 0; i < b.size(); ++i) expect_same(b[i], want[i], "frozen batch retry"); }); EXPECT_GT(failures, 2) << "frozen batch workers " << workers; } } - // CostOnly sensitivity through a frozen cache: every re-evaluated deletion misses (a fresh - // uid), so the reference outcome is the DagCacheMiss itself (its key; the uid is fresh per + // ShortestPaths' failure study through a frozen cache: every re-evaluated deletion misses (a fresh + // uid), so the reference outcome is the ShortestPathCacheMiss itself (its key; the uid is fresh per // call). With one worker an injected failure before that miss gives std::bad_alloc, and the // retry raises the same miss. (With several workers a lower candidate's miss may win over a // worker's std::bad_alloc: the lowest index's exception is raised.) - const auto key_of = [](const DagCacheMiss& e) { + const auto key_of = [](const ShortestPathCacheMiss& e) { const std::string w = e.what(); return w.substr(0, w.find(", Eligibility uid ")); }; - const auto costonly_sensitivity = [&](std::int32_t w) { - (void)sensitivity(*g, m.sources, m.destinations, query_of(m, nullptr, &cache), w); + const auto costonly_edge_failures = [&](std::int32_t w) { + (void)evaluate_edge_failures(*g, m.sources, m.destinations, query_of(m, nullptr, &cache), w); }; std::string want_miss; try { - costonly_sensitivity(1); - } catch (const DagCacheMiss& e) { + costonly_edge_failures(1); + } catch (const ShortestPathCacheMiss& e) { want_miss = key_of(e); } - EXPECT_EQ(want_miss, "DagCache: the frozen cache has no entry for roots {5, 6}, direction Reverse"); + EXPECT_EQ(want_miss, "ShortestPathCache: the frozen cache has no entry for roots {5, 6}, direction Reverse"); const long failures = sweep_evaluator( "frozen sensitivity", 1, false, 1, [&](std::int32_t w) { try { - costonly_sensitivity(w); - } catch (const DagCacheMiss&) { + costonly_edge_failures(w); + } catch (const ShortestPathCacheMiss&) { } }, [&](std::int32_t w) { EXPECT_EQ(cache.stats().entries, entries); try { - costonly_sensitivity(w); - ADD_FAILURE() << "no DagCacheMiss"; - } catch (const DagCacheMiss& e) { + costonly_edge_failures(w); + ADD_FAILURE() << "no ShortestPathCacheMiss"; + } catch (const ShortestPathCacheMiss& e) { EXPECT_EQ(key_of(e), want_miss); } }); EXPECT_GT(failures, 2) << "frozen sensitivity"; - // Global sensitivity reads no cache: with the frozen cache it is rejected before any worker + // CentralizedTE's failure study reads no cache: with the frozen cache it is rejected before any worker // starts, the cache unchanged. const auto git = std::find_if(all.begin(), all.end(), [](const Mode& x) { return x.name == "global"; }); ASSERT_NE(git, all.end()); - EXPECT_THROW((void)sensitivity(*g, git->sources, git->destinations, QueryOptions {git->cfg, nullptr, &cache}, 2), + EXPECT_THROW((void)evaluate_edge_failures(*g, git->sources, git->destinations, EvaluationOptions {git->cfg, nullptr, &cache}, 2), std::invalid_argument); EXPECT_EQ(cache.stats().entries, entries); } @@ -1323,7 +1447,7 @@ TEST(PolicyFaults, WorkersSharingAFrozenCacheFailCleanly) { // and two whose holds change: a replace with a new design and the first replace of a policy) // with a third party's load and another T1 owner's holds on the ledger: every allocation of the // call fails once, through the shared placement sweep, which compares both projections and every -// record field (reserved_edges included): a failure changes neither the ledger nor the epoch and +// record field (edge_reservations included): a failure changes neither the ledger nor the epoch and // leaves no allocation live; the completing call, the retry and remove() leave the ledger as the // reference's do. TEST(PolicyFaults, T1CallsFailAtomically) { @@ -1331,7 +1455,7 @@ TEST(PolicyFaults, T1CallsFailAtomically) { const auto inv = id_of_input(*g); const EdgeId dark_edges[] = {inv[4], inv[6]}; const Eligibility dark = g->eligibility({}, dark_edges); - const OutputOptions all {.edge_flows = true, .residual = true, .bottleneck = true, .reservation_edge_flows = true}; + const OutputOptions all {.edge_flows = true, .residual = true, .saturated_boundary_edges = true, .edge_reservations = true}; struct Op { std::string name; std::function call; @@ -1355,7 +1479,7 @@ TEST(PolicyFaults, T1CallsFailAtomically) { const auto setup = [&](FlowLedger& fg) { auto third = std::shared_ptr(third_party(fg, *g)); auto holder = std::make_shared(fg, std::vector {1}, std::vector {6}, - FlowPolicyConfig {.routing = CapacityAware {Tunnels {1}}}); + FlowPolicyConfig {.routing = DistributedTE {TunnelCount {1}}}); (void)holder->replace(0, 2); auto p = std::make_shared(fg, m.sources, m.destinations, m.cfg); if (!op.fresh) (void)p->replace(3, design); @@ -1383,7 +1507,7 @@ TEST(PolicyFaults, T1ConstructionFailsWithoutBinding) { FlowLedger rf(g); FlowPolicy pr(rf, m.sources, m.destinations, m.cfg, elig); const PlacementResult want = pr.replace(2, *m.design); - const LedgerState placed = ledger_state(rf); + const LedgerState after_place = ledger_state(rf); long injected = 0; for (long at = 0;; ++at) { const std::string w = variant + " construction allocation " + std::to_string(at); @@ -1393,7 +1517,7 @@ TEST(PolicyFaults, T1ConstructionFailsWithoutBinding) { const LedgerState before = ledger_state(fg); std::optional p; if (!fails_at(at, [&] { p.emplace(fg, m.sources, m.destinations, m.cfg, elig); })) { - EXPECT_EQ(LedgerAccess::bound_owners(fg).size(), 1U); + EXPECT_EQ(LedgerAccess::bound_policy_ids(fg).size(), 1U); break; } ++injected; @@ -1401,7 +1525,7 @@ TEST(PolicyFaults, T1ConstructionFailsWithoutBinding) { expect_same(ledger_state(fg), before, w); p.emplace(fg, m.sources, m.destinations, m.cfg, elig); expect_same(p->replace(2, *m.design), want, w); - expect_same(ledger_state(fg), placed, w); + expect_same(ledger_state(fg), after_place, w); expect_balanced(fg, w); } EXPECT_EQ(g_live.load(), live) << w << ": a leak"; @@ -1412,7 +1536,8 @@ TEST(PolicyFaults, T1ConstructionFailsWithoutBinding) { } } -// T1's evaluators (capacity: setup and forwarding on a fresh ledger; batch_capacity; sensitivity: +// T1's evaluators (evaluate_demand: setup and forwarding on a fresh ledger; evaluate_pairs; +// evaluate_edge_failures: // setup redone under every deletion) under the shared evaluator sweeps, one worker exhaustively // and several workers in their threads. TEST(PolicyFaults, T1EvaluatorsLeaveNoPoisonedScratch) { @@ -1426,17 +1551,17 @@ TEST(PolicyFaults, T1EvaluatorsLeaveNoPoisonedScratch) { for (const auto& o : option_sets(no_bypass, no_cross)) { if (o.cache) continue; // T1 rejects a cache const std::string name = m.name + " capacity" + o.name; - const auto want = capacity(*g, m.sources, m.destinations, query_of(m, o.elig, nullptr, {true, true, true})); + const auto want = evaluate_demand(*g, m.sources, m.destinations, query_of(m, o.elig, nullptr, {true, true, true})); long injected = 0; for (long at = 0;; ++at) { const long live = g_live.load(); bool failed = false; { PlacementResult got; - failed = fails_at(at, [&] { got = capacity(*g, m.sources, m.destinations, query_of(m, o.elig, nullptr, {true, true, true})); }); + failed = fails_at(at, [&] { got = evaluate_demand(*g, m.sources, m.destinations, query_of(m, o.elig, nullptr, {true, true, true})); }); if (failed) { ++injected; - expect_same(capacity(*g, m.sources, m.destinations, query_of(m, o.elig, nullptr, {true, true, true})), want, + expect_same(evaluate_demand(*g, m.sources, m.destinations, query_of(m, o.elig, nullptr, {true, true, true})), want, name + " retry"); } else { expect_same(got, want, name); @@ -1446,8 +1571,8 @@ TEST(PolicyFaults, T1EvaluatorsLeaveNoPoisonedScratch) { if (!failed || ::testing::Test::HasFailure()) break; } EXPECT_GT(injected, 0) << name; - attempts += injected + sweep_batch(m, *g, one, 1, o) + sweep_sensitivity(m, *g, one, 1, o); - attempts += sweep_sensitivity(m, *g, several, 7, o); + attempts += injected + sweep_batch(m, *g, one, 1, o) + sweep_edge_failures(m, *g, one, 1, o); + attempts += sweep_edge_failures(m, *g, several, 7, o); if (::testing::Test::HasFailure()) return; } } @@ -1471,7 +1596,7 @@ TEST(PolicyFaults, T1RemovalAndReleaseNeverAllocate) { ASSERT_GT(std::accumulate(held.reserved.begin(), held.reserved.end(), Amount {0}), 0) << m.name; EXPECT_FALSE(fails_at(0, [&] { p.reset(); })) << m.name; const LedgerState orphaned = ledger_state(fg); - EXPECT_EQ(orphaned.allocated, held.allocated) << m.name; + EXPECT_EQ(orphaned.carried, held.carried) << m.name; EXPECT_EQ(orphaned.reserved, held.reserved) << m.name; EXPECT_EQ(orphaned.records.size(), held.records.size()) << m.name; EXPECT_TRUE(orphaned.bound.empty()) << m.name; @@ -1492,13 +1617,13 @@ void expect_t1_hold_scratch_growth(const std::string& name, bool from_small, boo const auto small = chain_graph(3, 5); const auto large = chain_graph(3000, 5); const NodeId last = large->num_nodes() - 1; - const FlowPolicyConfig cfg {.routing = CapacityAware {Tunnels {2}}}; + const FlowPolicyConfig cfg {.routing = DistributedTE {TunnelCount {2}}}; const auto make = [&](FlowLedger& fg) { auto p = std::make_unique(fg, std::vector {0}, std::vector {last}, cfg); if (prior) std::thread([&] { (void)p->replace(2, 2); }).join(); return p; }; - const OutputOptions holds {.reservation_edge_flows = true}; + const OutputOptions holds {.edge_reservations = true}; const auto call = [&](FlowPolicy& p) { return p.replace(4, 4, holds); }; PlacementResult want; LedgerState want_state; @@ -1512,14 +1637,14 @@ void expect_t1_hold_scratch_growth(const std::string& name, bool from_small, boo } // Both tunnels up, each holding 2 on every link: the comparison is not of zeros. ASSERT_EQ(want_state.reserved, std::vector(want_state.reserved.size(), 4)); - ASSERT_EQ(want.placed, 4); + ASSERT_EQ(want.call_delivered, 4); sweep_scratch_growth( name, [&] { if (!from_small) return; FlowLedger fg(small); FlowPolicy p(fg, std::vector {0}, std::vector {2}, cfg); - EXPECT_EQ(p.replace(4, 4).placed, 4); + EXPECT_EQ(p.replace(4, 4).call_delivered, 4); }, [&](long at, const std::string& w) { FlowLedger fg(large); @@ -1578,7 +1703,7 @@ TEST(PolicyFaults, T2CallsFailAtomically) { const auto inv = id_of_input(*g); const EdgeId dark_edges[] = {inv[4], inv[6]}; const Eligibility dark = g->eligibility({}, dark_edges); - const OutputOptions all {.edge_flows = true, .residual = true, .bottleneck = true, .reservation_edge_flows = true}; + const OutputOptions all {.edge_flows = true, .residual = true, .saturated_boundary_edges = true, .edge_reservations = true}; const std::optional> unlimited {std::in_place, std::nullopt}; struct Op { std::string name; @@ -1599,7 +1724,7 @@ TEST(PolicyFaults, T2CallsFailAtomically) { const auto setup = [&](FlowLedger& fg) { auto third = std::shared_ptr(third_party(fg, *g)); auto holder = std::make_shared(fg, std::vector {1}, std::vector {6}, - FlowPolicyConfig {.routing = CapacityAware {Tunnels {1}}}); + FlowPolicyConfig {.routing = DistributedTE {TunnelCount {1}}}); (void)holder->replace(0, 2); auto p = std::make_shared(fg, m.sources, m.destinations, m.cfg); (void)p->replace(3, design); @@ -1626,7 +1751,7 @@ TEST(PolicyFaults, T2ConstructionFailsWithoutBinding) { FlowLedger rf(g); FlowPolicy pr(rf, m.sources, m.destinations, m.cfg, elig); const PlacementResult want = pr.replace(2, *m.design); - const LedgerState placed = ledger_state(rf); + const LedgerState after_place = ledger_state(rf); long injected = 0; for (long at = 0;; ++at) { const std::string w = variant + " construction allocation " + std::to_string(at); @@ -1636,7 +1761,7 @@ TEST(PolicyFaults, T2ConstructionFailsWithoutBinding) { const LedgerState before = ledger_state(fg); std::optional p; if (!fails_at(at, [&] { p.emplace(fg, m.sources, m.destinations, m.cfg, elig); })) { - EXPECT_EQ(LedgerAccess::bound_owners(fg).size(), 1U); + EXPECT_EQ(LedgerAccess::bound_policy_ids(fg).size(), 1U); break; } ++injected; @@ -1644,7 +1769,7 @@ TEST(PolicyFaults, T2ConstructionFailsWithoutBinding) { expect_same(ledger_state(fg), before, w); p.emplace(fg, m.sources, m.destinations, m.cfg, elig); expect_same(p->replace(2, *m.design), want, w); - expect_same(ledger_state(fg), placed, w); + expect_same(ledger_state(fg), after_place, w); expect_balanced(fg, w); } EXPECT_EQ(g_live.load(), live) << w << ": a leak"; @@ -1655,12 +1780,12 @@ TEST(PolicyFaults, T2ConstructionFailsWithoutBinding) { } } -// T2's evaluators (capacity on a fresh ledger; batch_capacity; sensitivity: sizing, count -// selection and objectives redone under every deletion) under the shared evaluator sweeps: capacity -// and batch_capacity exhaustively; sensitivity, whose deletions each repeat the layout that -// capacity's sweep already covers allocation by allocation, at every fifth allocation with one +// T2's evaluators (evaluate_demand on a fresh ledger; evaluate_pairs; evaluate_edge_failures: sizing, count +// selection and objectives redone under every deletion) under the shared evaluator sweeps: evaluate_demand +// and evaluate_pairs exhaustively; evaluate_edge_failures, whose deletions each repeat the layout that +// evaluate_demand's sweep already covers allocation by allocation, at every fifth allocation with one // worker and every seventh with several (a whole sweep would take minutes per mode). Three tests per -// mode (capacity and batch_capacity; sensitivity without, then with an Eligibility), each within the +// mode (evaluate_demand and evaluate_pairs; evaluate_edge_failures without, then with an Eligibility), each within the // test timeout under the sanitizers. `part`: 0, 1 or 2 in that order. void sweep_t2_evaluators(const Mode& m, int part) { const auto g = graph(); @@ -1674,22 +1799,22 @@ void sweep_t2_evaluators(const Mode& m, int part) { if (o.cache) continue; // T2 rejects a cache if (part > 0) { if ((part == 2) != (o.elig != nullptr)) continue; - attempts += sweep_sensitivity(m, *g, one, 5, o) + sweep_sensitivity(m, *g, several, 7, o); + attempts += sweep_edge_failures(m, *g, one, 5, o) + sweep_edge_failures(m, *g, several, 7, o); if (::testing::Test::HasFailure()) return; continue; } const std::string name = m.name + " capacity" + o.name; - const auto want = capacity(*g, m.sources, m.destinations, query_of(m, o.elig, nullptr, {true, true, true})); + const auto want = evaluate_demand(*g, m.sources, m.destinations, query_of(m, o.elig, nullptr, {true, true, true})); long injected = 0; for (long at = 0;; ++at) { const long live = g_live.load(); bool failed = false; { PlacementResult got; - failed = fails_at(at, [&] { got = capacity(*g, m.sources, m.destinations, query_of(m, o.elig, nullptr, {true, true, true})); }); + failed = fails_at(at, [&] { got = evaluate_demand(*g, m.sources, m.destinations, query_of(m, o.elig, nullptr, {true, true, true})); }); if (failed) { ++injected; - expect_same(capacity(*g, m.sources, m.destinations, query_of(m, o.elig, nullptr, {true, true, true})), want, + expect_same(evaluate_demand(*g, m.sources, m.destinations, query_of(m, o.elig, nullptr, {true, true, true})), want, name + " retry"); } else { expect_same(got, want, name); @@ -1729,7 +1854,7 @@ TEST(PolicyFaults, T2RemovalAndReleaseNeverAllocate) { ASSERT_FALSE(held.records.empty()) << m.name; EXPECT_FALSE(fails_at(0, [&] { p.reset(); })) << m.name; const LedgerState orphaned = ledger_state(fg); - EXPECT_EQ(orphaned.allocated, held.allocated) << m.name; + EXPECT_EQ(orphaned.carried, held.carried) << m.name; EXPECT_EQ(orphaned.reserved, std::vector(orphaned.reserved.size(), 0)) << m.name; EXPECT_EQ(orphaned.records.size(), held.records.size()) << m.name; EXPECT_TRUE(orphaned.bound.empty()) << m.name; diff --git a/tests/cpp/flow_policy_fixture_tests.cpp b/tests/cpp/flow_policy_fixture_tests.cpp index 83acdff..233dadc 100644 --- a/tests/cpp/flow_policy_fixture_tests.cpp +++ b/tests/cpp/flow_policy_fixture_tests.cpp @@ -15,6 +15,21 @@ // the private hooks (NETGRAPH_CORE_PRIVATE_HOOKS): without them, in the shipped configuration, // the replay compares everything but the trace, and the corruption test corrupts what that // replay compares: every section but the trace. +// +// The data keeps the reference's own names; the replay maps them to the library's here and nowhere +// else: the routing kinds "CostOnly" and "Global" build ShortestPaths and CentralizedTE (with +// source allocation OPTIMIZED, Global's default there), a configuration's "placement" is +// ShortestPaths' allocation ("MaxFlow" and "EqualBalanced" are RouteAllocation::Optimized and +// Equal) and its "weights" ShortestPaths' weight_basis; the configuration's "selection" is +// ShortestPaths' route choice: "Deterministic" is FEWER_HOPS +// whatever the "priority", "PreferHigherPriority" with "Residual", "Capacity" or "Headroom" is +// HIGHER_AVAILABLE_CAPACITY, HIGHER_CAPACITY or HIGHER_HEADROOM, "multipath" is multipath and +// "multi_edge" parallel_edges; a result's +// "placed", "remaining", "call_drops", "call_source_loss", "source_loss", "drops", +// "cost_distribution" and "bottleneck" are call_delivered, call_undelivered, call_edge_drops, +// call_source_drops, source_drops, edge_drops, marginal_cost_curve and saturated_boundary_edges; the +// ledger's "allocated" is carried(); a record's "owner", "bundle", "route_cost" and "edges" are +// policy_id, route, min_route_cost and edge_flows; the policy's "placed_demand" is delivered(). #include #include @@ -38,7 +53,7 @@ #include "netgraph/core/detail/ledger_access.hpp" #include "netgraph/core/detail/policy_engine.hpp" -#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/detail/route_builders.hpp" #include "netgraph/core/detail/private_hooks.hpp" #include "netgraph/core/detail/trace.hpp" #include "netgraph/core/flow_ledger.hpp" @@ -425,19 +440,19 @@ J counter_pairs(const std::vector>& v) { J result_json(const PlacementResult& r) { J j = J::obj(); - j.set("placed", J::integer(r.placed)); - j.set("remaining", r.remaining.has_value() ? J::integer(*r.remaining) : J::str("inf")); + j.set("placed", J::integer(r.call_delivered)); + j.set("remaining", r.call_undelivered.has_value() ? J::integer(*r.call_undelivered) : J::str("inf")); j.set("delivery_delta", J::integer(r.delivery_delta)); - j.set("call_drops", pairs(r.call_drops)); - j.set("call_source_loss", J::integer(r.call_source_loss)); + j.set("call_drops", pairs(r.call_edge_drops)); + j.set("call_source_loss", J::integer(r.call_source_drops)); j.set("termination", J::str(outcome_name(r.termination))); j.set("routes_changed", J::boolean(r.routes_changed)); j.set("weights_changed", J::boolean(r.weights_changed)); j.set("requested", r.requested.has_value() ? J::integer(wide(*r.requested)) : J::str("inf")); j.set("admitted", J::integer(wide(r.admitted))); j.set("delivered", J::integer(r.delivered)); - j.set("source_loss", J::integer(wide(r.source_loss))); - j.set("drops", counter_pairs(r.drops)); + j.set("source_loss", J::integer(wide(r.source_drops))); + j.set("drops", counter_pairs(r.edge_drops)); J rows = J::arr(); for (const auto& x : r.by_source) { J row = J::arr(); @@ -445,41 +460,41 @@ J result_json(const PlacementResult& r) { row.push(x.offered.has_value() ? J::integer(wide(*x.offered)) : J::null()); row.push(J::integer(wide(x.admitted))); row.push(J::integer(x.delivered)); - row.push(J::integer(wide(x.source_loss))); - row.push(J::integer(wide(x.dropped))); + row.push(J::integer(wide(x.source_drops))); + row.push(J::integer(wide(x.total_edge_drops))); rows.push(std::move(row)); } j.set("by_source", std::move(rows)); if (r.offered.has_value()) j.set("offered", J::integer(wide(*r.offered))); if (r.unadmitted.has_value()) j.set("unadmitted", J::integer(wide(*r.unadmitted))); if (r.total_cost.has_value()) j.set("total_cost", J::integer(wide(*r.total_cost))); - if (r.cost_distribution.has_value()) j.set("cost_distribution", pairs(*r.cost_distribution)); + if (r.marginal_cost_curve.has_value()) j.set("cost_distribution", pairs(*r.marginal_cost_curve)); if (r.edge_flows.has_value()) j.set("edge_flows", ints(*r.edge_flows)); if (r.residual.has_value()) j.set("residual", ints(*r.residual)); - if (r.bottleneck.has_value()) j.set("bottleneck", ints(*r.bottleneck)); + if (r.saturated_boundary_edges.has_value()) j.set("bottleneck", ints(*r.saturated_boundary_edges)); if (r.min_cut.has_value()) j.set("min_cut", ints(*r.min_cut)); return j; } J ledger_json(const FlowLedger& fg) { J j = J::obj(); - j.set("allocated", ints(fg.allocated())); + j.set("allocated", ints(fg.carried())); j.set("residual", ints(fg.residual())); J recs = J::arr(); for (const auto& r : fg.records()) { J x = J::obj(); x.set("flow_id", J::integer(r.flow_id.second)); - x.set("owner", J::integer(r.owner)); + x.set("owner", J::integer(r.policy_id)); x.set("sources", ints(r.sources)); x.set("destinations", ints(r.destinations)); x.set("admission", J::str(r.admission == Admission::Lossy ? "Lossy" : "Lossless")); - x.set("bundle", ints(detail::PredDAGBuilder::ascending(*r.bundle))); - x.set("route_cost", r.route_cost == kUnreachable ? J::null() : J::integer(r.route_cost)); + x.set("bundle", ints(detail::PredecessorDAGBuilder::ascending(*r.route))); + x.set("route_cost", r.min_route_cost == kUnreachable ? J::null() : J::integer(r.min_route_cost)); x.set("offered", r.offered.has_value() ? J::integer(wide(*r.offered)) : J::null()); x.set("delivered", J::integer(r.delivered)); - x.set("edges", pairs(r.edges)); + x.set("edges", pairs(r.edge_flows)); J drops = J::arr(); - for (const auto& [e, c] : r.drops) { + for (const auto& [e, c] : r.edge_drops) { J p = J::arr(); p.push(J::integer(e)); p.push(J::integer(wide(c))); @@ -489,9 +504,9 @@ J ledger_json(const FlowLedger& fg) { recs.push(std::move(x)); } j.set("records", std::move(recs)); - j.set("next_flow_id", J::integer(LedgerAccess::next_flow_id(fg))); - j.set("bound", ints(LedgerAccess::bound_owners(fg))); - j.set("orphans", ints(LedgerAccess::orphan_owners(fg))); + j.set("next_flow_id", J::integer(LedgerAccess::next_record_counter(fg))); + j.set("bound", ints(LedgerAccess::bound_policy_ids(fg))); + j.set("orphans", ints(LedgerAccess::orphan_policy_ids(fg))); return j; } @@ -499,28 +514,28 @@ J policy_json(const FlowPolicy& policy) { const auto& pe = detail::PolicyAccess::engine(policy); const bool lossy = pe.config.admission == Admission::Lossy; J j = J::obj(); - j.set("roster", ints(pe.roster)); + j.set("roster", ints(pe.reachable_sources)); j.set("requested", J::integer(wide(pe.epoch.requested))); j.set("infinite", J::boolean(pe.epoch.infinite)); - j.set("placed_demand", J::integer(policy.placed_demand())); + j.set("placed_demand", J::integer(policy.delivered())); J cohorts = J::arr(); - for (std::size_t i = 0; i < pe.roster.size(); ++i) { - if (pe.epoch.cohorts[i].empty()) continue; + for (std::size_t i = 0; i < pe.reachable_sources.size(); ++i) { + if (pe.epoch.record_groups[i].empty()) continue; J flows = J::arr(); - for (const auto& s : pe.epoch.cohorts[i]) { - const FlowRecord& rec = LedgerAccess::live(pe.fg, s.id); - const auto e = detail::PredDAGBuilder::ascending(*s.bundle); + for (const auto& s : pe.epoch.record_groups[i]) { + const FlowRecord& rec = LedgerAccess::live(pe.ledger, s.record_counter); + const auto e = detail::PredecessorDAGBuilder::ascending(*s.route); const std::vector route(e.begin(), e.end()); J f = J::obj(); - f.set("id", J::integer(s.id)); + f.set("id", J::integer(s.record_counter)); f.set("route", ints(route)); f.set("T", lossy ? J::null() : J::integer(rec.delivered)); f.set("delivered", J::integer(rec.delivered)); - f.set("alloc", pairs(rec.edges)); + f.set("alloc", pairs(rec.edge_flows)); flows.push(std::move(f)); } J entry = J::arr(); - entry.push(J::integer(pe.roster[i])); + entry.push(J::integer(pe.reachable_sources[i])); entry.push(std::move(flows)); cohorts.push(std::move(entry)); } @@ -595,38 +610,45 @@ T named(const std::string& what, const std::string& name, std::initializer_list< FlowPolicyConfig config_of(const Graph& g, const J& c) { const J& r = c.at("routing"); const std::string kind = r.at("kind").s; - Routing routing = CostOnly {}; + Routing routing = ShortestPaths {}; if (kind == "Global") { - Global gl; + CentralizedTE gl(SourceAllocation::Optimized); // the frozen data's Global: the optimized source allocation if (const J* support = r.get("support")) gl.support = test::dag_of(g, int32s(*support)); routing = gl; } else if (kind != "CostOnly") { throw UnknownName("the data names an unknown routing (" + kind + ")"); } FlowPolicyConfig out {.routing = std::move(routing)}; + auto* sp = std::get_if(&out.routing); if (!c.at("placement").is_null()) { - out.placement = named("placement", c.at("placement").s, - {{"MaxFlow", FlowPlacement::MaxFlow}, - {"Weighted", FlowPlacement::Weighted}, - {"EqualBalanced", FlowPlacement::EqualBalanced}}); + const auto allocation = named("placement", c.at("placement").s, + {{"MaxFlow", RouteAllocation::Optimized}, + {"Weighted", RouteAllocation::Weighted}, + {"EqualBalanced", RouteAllocation::Equal}}); + if (sp == nullptr) throw UnknownName("the data names a placement for a routing without one (" + kind + ")"); + sp->allocation = allocation; } out.admission = named("admission", c.at("admission").s, {{"Lossless", Admission::Lossless}, {"Lossy", Admission::Lossy}}); if (const J& sel = c.at("selection"); !sel.is_null()) { - const EdgeTieBreak tie = named( - "tie break", sel.at("tie_break").s, - {{"Deterministic", EdgeTieBreak::Deterministic}, {"PreferHigherPriority", EdgeTieBreak::PreferHigherPriority}}); - const EdgePriority prio = named("priority", sel.at("priority").s, - {{"Residual", EdgePriority::Residual}, - {"Capacity", EdgePriority::Capacity}, - {"Headroom", EdgePriority::Headroom}}); - out.selection = PathSelection(tie, prio, sel.at("multipath").b, sel.at("multi_edge").b); + const bool prefer = named("tie break", sel.at("tie_break").s, + {{"Deterministic", false}, {"PreferHigherPriority", true}}); + const RouteTieBreak higher = named("priority", sel.at("priority").s, + {{"Residual", RouteTieBreak::HigherAvailableCapacity}, + {"Capacity", RouteTieBreak::HigherCapacity}, + {"Headroom", RouteTieBreak::HigherHeadroom}}); + if (sp == nullptr) throw UnknownName("the data names a selection for a routing without a route choice (" + kind + ")"); + sp->tie_break = prefer ? higher : RouteTieBreak::FewerHops; + sp->multipath = sel.at("multipath").b; + sp->parallel_edges = sel.at("multi_edge").b; } if (const J* w = c.get("weights")) { - out.weights = named("weight basis", w->s, - {{"Capacity", WeightBasis::Capacity}, - {"Explicit", WeightBasis::Explicit}, - {"ResidualSnapshot", WeightBasis::ResidualSnapshot}}); + const auto basis = named("weight basis", w->s, + {{"Capacity", WeightBasis::Capacity}, + {"Explicit", WeightBasis::Explicit}, + {"ResidualSnapshot", WeightBasis::ResidualSnapshot}}); + if (sp == nullptr) throw UnknownName("the data names weights for a routing without them (" + kind + ")"); + sp->weight_basis = basis; } return out; } @@ -655,7 +677,7 @@ std::vector replay(const J& fx, std::size_t* compared = nullptr, const double q = spec.at("q").k == J::K::Dbl ? spec.at("q").d : static_cast(spec.at("q").int64()); auto g = std::make_shared( test::make_graph(static_cast(spec.at("n").int64()), edges, q)); - const auto ii = g->input_index(); + const auto ii = g->input_positions(); if (std::vector(ii.begin(), ii.end()) != int32s(spec.at("input_index"))) { fails.push_back(name + ": the engine ranks the edges differently (input_index)"); return fails; @@ -887,7 +909,7 @@ bool reported(const J& fx, const std::string& prefix) { // of every section of every other operation's expectations (failed placements, policies, // removals); the error flag of the first operation of every kind and // outcome in each fixture; the input order of the first graph; an unknown operation; a ledger the -// data accepts and the engine rejects; an unknown and a non-integer volume; the curve a Global +// data accepts and the engine rejects; an unknown and a non-integer volume; the curve a CentralizedTE // zero call reports, against the remembered one; a policy changed by a call the data rejects; // an exception other than a rejection; and a configuration name the replay does not know. void expect_every_other_clause_reported() { @@ -961,7 +983,7 @@ void expect_every_other_clause_reported() { volume.k = J::K::Dbl; volume.d = 0.5; EXPECT_TRUE(reported(fractional, "global_epochs op 3 (place): a non-integer request accepted")); - // Op 2 of global_epochs is a Global zero call on a fresh policy (no curve: nothing prepared), + // Op 2 of global_epochs is a CentralizedTE zero call on a fresh policy (no curve: nothing prepared), // op 3 a positive call with the curve [[1, 1]]. With op 3 moved before op 2, the zero call // reports the remembered curve [[1, 1]] where the data, recorded before any placement, has // none: a result difference. @@ -1016,7 +1038,7 @@ void expect_every_other_clause_reported() { EXPECT_TRUE(test::has_failure(fails, where + ": throws an exception other than a rejection: planted")) << where; } EXPECT_EQ(planted, (std::set {"ledger ok", "place failed", "policy failed"})); - // A name the replay does not know, in the configuration of eb_unequal_1_10's CostOnly policy + // A name the replay does not know, in the configuration of eb_unequal_1_10's ShortestPaths policy // (op 1): a failure of the replay, never taken for the engine rejecting the policy. const auto& unequal = *std::find_if(fixtures.begin(), fixtures.end(), [](const J& fx) { return fx.at("name").s == "eb_unequal_1_10"; }); diff --git a/tests/cpp/flow_policy_tests.cpp b/tests/cpp/flow_policy_tests.cpp index 3dbfeec..1e036e3 100644 --- a/tests/cpp/flow_policy_tests.cpp +++ b/tests/cpp/flow_policy_tests.cpp @@ -1,12 +1,12 @@ // The policy engine beyond the reference's fixtures (those replay in flow_policy_fixture_tests.cpp): -// configuration validation, the configuration a policy keeps and the selection fields Global and -// Pinned read, request validation (a rejected request changes nothing) and the per-source round +// configuration validation, the configuration a policy keeps and the route choice ShortestPaths and +// T1 read, request validation (a rejected request changes nothing) and the per-source round // robin of the cumulative request, the outputs (the bottleneck under the policy's Eligibility), -// Global's empty roster, its roster without flow and its zero call's cumulative curve, record -// bundles (sparse storage, sharing, pruning), records in FlowId order, one flow to several nearest -// destinations, and the evaluators (capacity, batch_capacity, sensitivity) with workers and their -// default from the environment. T1 (CapacityAware) has its own file, tunnels_t1_tests.cpp; the -// DagCache's own modes and key are tested in dag_cache_tests.cpp. +// CentralizedTE's empty roster, its roster without flow and its zero call's cumulative curve, record +// routes (sparse storage, sharing, pruning), records in FlowId order, one flow to several nearest +// destinations, and the evaluators (evaluate_demand, evaluate_pairs, evaluate_edge_failures) with workers and their +// default from the environment. T1 (DistributedTE) has its own file, distributed_te_tests.cpp; the +// ShortestPathCache's own modes and key are tested in shortest_path_cache_tests.cpp. #include #include @@ -28,15 +28,15 @@ #include #include -#include "netgraph/core/dag_cache.hpp" +#include "netgraph/core/shortest_path_cache.hpp" #include "netgraph/core/detail/evaluator_checks.hpp" -#include "netgraph/core/detail/kernels.hpp" +#include "netgraph/core/detail/route_kernels.hpp" #include "netgraph/core/detail/ledger_access.hpp" #include "netgraph/core/detail/policy_engine.hpp" -#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/detail/route_builders.hpp" #include "netgraph/core/detail/private_hooks.hpp" #include "netgraph/core/detail/trace.hpp" -#include "netgraph/core/detail/traversal.hpp" +#include "netgraph/core/detail/search_detail.hpp" #include "netgraph/core/evaluators.hpp" #include "netgraph/core/flow_ledger.hpp" #include "netgraph/core/flow_policy.hpp" @@ -49,20 +49,29 @@ using namespace netgraph::core::test; namespace { -PathSelection sel(EdgeTieBreak t = EdgeTieBreak::Deterministic, EdgePriority p = EdgePriority::Capacity, - std::optional multipath = std::nullopt, bool multi_edge = true) { - return PathSelection(t, p, multipath, multi_edge); +detail::RouteChoice sel(RouteTieBreak t = RouteTieBreak::FewerHops, bool multipath = true, bool parallel_edges = true) { + return detail::RouteChoice {t, multipath, parallel_edges}; } -// A configuration; Global takes neither a placement nor a selection, so `k` and `s` are left out. -FlowPolicyConfig cfg(Routing r, FlowPlacement k, Admission a = Admission::Lossless, PathSelection s = sel()) { - if (std::holds_alternative(r)) return FlowPolicyConfig {.routing = std::move(r), .admission = a}; - return FlowPolicyConfig {std::move(r), k, a, s}; +// A configuration: ShortestPaths takes the allocation `k` and the route choice `s`, T1 the tie_break +// and parallel_edges of `s`; the other models take neither. +FlowPolicyConfig cfg(Routing r, RouteAllocation k, Admission a = Admission::Lossless, detail::RouteChoice s = sel()) { + if (auto* sp = std::get_if(&r)) { + sp->allocation = k; + sp->tie_break = s.tie_break; + sp->multipath = s.multipath; + sp->parallel_edges = s.parallel_edges; + } + if (auto* ca = std::get_if(&r)) { + ca->tie_break = s.tie_break; + ca->parallel_edges = s.parallel_edges; + } + return FlowPolicyConfig {std::move(r), a}; } // A T1 configuration: N tunnels per head, no placement. FlowPolicyConfig t1(std::int64_t n, Admission a = Admission::Lossless) { - return FlowPolicyConfig {.routing = CapacityAware {Tunnels {n}}, .admission = a}; + return FlowPolicyConfig {.routing = DistributedTE {TunnelCount {n}}, .admission = a}; } // Two disjoint routes 0 -> 1 -> 3 (caps a, cost 1) and 0 -> 2 -> 3 (caps b, cost c). EdgeIds: @@ -80,26 +89,23 @@ TEST(FlowPolicyConfig, EveryRejectedCombinationBeforeBinding) { auto rejects = [&](const FlowPolicyConfig& c, const std::string& message, std::vector s = {0}, std::vector d = {3}) { EXPECT_EQ(error_of([&] { FlowPolicy p(fg, s, d, c); }), message); - EXPECT_TRUE(detail::LedgerAccess::bound_owners(fg).empty()); + EXPECT_TRUE(detail::LedgerAccess::bound_policy_ids(fg).empty()); }; - rejects(cfg(CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossy), "MAX_FLOW requires admission=LOSSLESS"); - // CostOnly's weights come from its weight basis: Headroom is a priority like the others. + rejects(cfg(ShortestPaths {}, RouteAllocation::Optimized, Admission::Lossy), "ShortestPaths OPTIMIZED requires admission=LOSSLESS"); + // ShortestPaths's weights come from its weight basis: HIGHER_HEADROOM is a tie rule like the others. EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({3}), - cfg(CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, - sel(EdgeTieBreak::Deterministic, EdgePriority::Headroom))); + cfg(ShortestPaths {}, RouteAllocation::Weighted, Admission::Lossless, + sel(RouteTieBreak::HigherHeadroom, true, false))); }), ""); fg.reset(); - rejects({.routing = Global {}, .placement = FlowPlacement::MaxFlow}, "Global does not accept placement"); - rejects({.routing = Global {}, .selection = PathSelection()}, "Global does not accept selection"); - rejects({.routing = Global {}, .admission = Admission::Lossy}, "MAX_FLOW requires admission=LOSSLESS"); - // T1: no placement, one exact tunnel count in [1, 10000], the ceiling's and the search minimum's - // own texts (the T1 rows of the matrix are tunnels_t1_tests.cpp's). - rejects({.routing = CapacityAware {Tunnels {2}}, .placement = FlowPlacement::EqualBalanced}, "T1 does not accept placement"); + rejects({.routing = centralized(), .admission = Admission::Lossy}, "CentralizedTE without tunnel_count requires admission=LOSSLESS"); + // T1: one exact tunnel count in [1, 10000], the ceiling's and the search minimum's own texts (the + // T1 rows of the matrix are distributed_te_tests.cpp's). rejects(t1(0), "tunnel count must be in [1, 10000]"); - rejects({.routing = CapacityAware {Tunnels {2, true}}}, "T1 requires an exact tunnel count"); - CapacityAware ca {Tunnels {1}}; + rejects({.routing = DistributedTE {TunnelCount {2, true}}}, "DistributedTE requires an exact tunnel count"); + DistributedTE ca {TunnelCount {1}}; ca.min_unreserved_bandwidth = -1; rejects({.routing = ca}, "min_unreserved_bandwidth must be an integer in [0, 2^62)"); // The upper bound: 2^62 - 1 units is a valid minimum, 2^62 is not. @@ -108,301 +114,298 @@ TEST(FlowPolicyConfig, EveryRejectedCombinationBeforeBinding) { ca.min_unreserved_bandwidth = kDomainLimit - 1; EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({3}), {.routing = ca}); }), ""); fg.reset(); - ca = CapacityAware {Tunnels {1}}; - ca.max_path_cost = Absolute {-1}; - rejects({.routing = ca}, "max_path_cost Absolute cost must be >= 0 (got -1)"); - for (const auto& [f, shown] : {std::pair {0.5, "0.500000"}, std::pair {std::numeric_limits::quiet_NaN(), "nan"}, - std::pair {std::numeric_limits::infinity(), "inf"}}) { - ca = CapacityAware {Tunnels {1}}; - ca.max_path_cost = Stretch {f}; - rejects({.routing = ca}, std::string("max_path_cost Stretch factor must be finite and in [1, inf) (got ") + shown + ")"); + ca = DistributedTE {TunnelCount {1}}; + ca.cost_ceiling = AbsoluteCost {-1}; + rejects({.routing = ca}, "cost_ceiling AbsoluteCost cost must be >= 0 (got -1)"); + // A factor below 1 is a valid value, refused where the ceiling is used, with its reduced + // components (the numerator at its lowest included). + for (const auto& [f, shown] : {std::pair {CostStretch(1, 2), "1/2"}, std::pair {CostStretch(4, 6), "2/3"}, + std::pair {CostStretch(std::numeric_limits::min()), "-9223372036854775808/1"}}) { + ca = DistributedTE {TunnelCount {1}}; + ca.cost_ceiling = f; + rejects({.routing = ca}, std::string("cost_ceiling CostStretch factor must be >= 1 (got ") + shown + ")"); } - // Pinned: a program of this graph whose endpoints are the policy's, and no field of a model that - // computes. + // Pinned: a program of this graph whose endpoints are the policy's. rejects({.routing = Pinned {}}, "Pinned requires a program"); const Pinned ok = pinned_dags(*g, 0, 3, {dag_of(*g, {0, 2})}); - rejects({.routing = ok, .placement = FlowPlacement::MaxFlow}, "Pinned does not accept placement"); rejects({.routing = ok}, "program endpoints do not match policy endpoints", {0, 1}, {3}); auto other = diamond(5, 5); rejects({.routing = pinned_dags(*other, 0, 3, {dag_of(*other, {0, 2})})}, "program belongs to another graph"); rejects({.routing = Pinned {ok.program, std::make_shared(other->eligibility({}, std::vector {0}))}}, "black_holes belongs to another graph"); - rejects({.routing = Global {dag_of(*other, {0, 2})}}, "support belongs to another graph"); - rejects(cfg(CostOnly {}, FlowPlacement::MaxFlow), + rejects({.routing = centralized(SourceAllocation::Optimized, dag_of(*other, {0, 2}))}, "support belongs to another graph"); + rejects(cfg(ShortestPaths {}, RouteAllocation::Optimized), "node 3 is in both endpoint sets: sources and destinations must not overlap", {0, 3}, {3}); - rejects(cfg(CostOnly {}, FlowPlacement::MaxFlow), "sources: the node set is empty", {}, {3}); - rejects(cfg(CostOnly {}, FlowPlacement::MaxFlow), "sources: node 9 out of node range [0, 4)", {9}, {3}); + rejects(cfg(ShortestPaths {}, RouteAllocation::Optimized), "sources: the node set is empty", {}, {3}); + rejects(cfg(ShortestPaths {}, RouteAllocation::Optimized), "sources: node 9 out of node range [0, 4)", {9}, {3}); // A routing variant left without a mode (valueless) by an exception while a mode was emplaced. struct ThrowingConversion { operator Pinned() const { throw std::runtime_error("conversion failed"); } }; - auto valueless = cfg(CostOnly {}, FlowPlacement::MaxFlow); + auto valueless = cfg(ShortestPaths {}, RouteAllocation::Optimized); EXPECT_THROW(valueless.routing.emplace(ThrowingConversion {}), std::runtime_error); ASSERT_TRUE(valueless.routing.valueless_by_exception()); rejects(valueless, "routing: the variant holds no routing mode"); const auto el = other->eligibility({}, std::vector {0}); - EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({3}), cfg(CostOnly {}, FlowPlacement::MaxFlow), &el); }), + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({3}), cfg(ShortestPaths {}, RouteAllocation::Optimized), &el); }), "foreign Eligibility: built for another graph"); - // The endpoints come before the ownership of the mask and the cache (contract 14.3). - DagCache foreign_first(*other); + // The endpoints come before the ownership of the mask and the cache. + ShortestPathCache foreign_first(*other); EXPECT_EQ(error_of([&] { - FlowPolicy p(fg, std::vector {}, v({3}), cfg(CostOnly {}, FlowPlacement::MaxFlow), &el, + FlowPolicy p(fg, std::vector {}, v({3}), cfg(ShortestPaths {}, RouteAllocation::Optimized), &el, &foreign_first); }), "sources: the node set is empty"); - DagCache foreign_cache(*other); + ShortestPathCache foreign_cache(*other); EXPECT_EQ(error_of([&] { - FlowPolicy p(fg, v({0}), v({3}), cfg(CostOnly {}, FlowPlacement::MaxFlow), nullptr, &foreign_cache); + FlowPolicy p(fg, v({0}), v({3}), cfg(ShortestPaths {}, RouteAllocation::Optimized), nullptr, &foreign_cache); }), - "foreign DagCache: bound to another graph"); - EXPECT_TRUE(detail::LedgerAccess::bound_owners(fg).empty()); + "foreign ShortestPathCache: bound to another graph"); + EXPECT_TRUE(detail::LedgerAccess::bound_policy_ids(fg).empty()); } -// Enumeration checks at construction: PathSelection rejects a value outside its enumeration (here -// 98 and 99, reachable by a cast) with std::invalid_argument naming the field. FlowPolicyConfig is -// a plain value: it holds any field, and its consumers check it (EveryRejectedCombinationBefore- -// Binding above, EnumValuesOutsideTheirEnumerationAreRejected and -// SeveralDefectsReportTheFirstInTheContractOrder below). -TEST(FlowPolicyConfig, ConstructorsRejectEnumValuesOutsideTheirEnumeration) { - EXPECT_EQ(error_of([] { (void)PathSelection(static_cast(99), EdgePriority::Capacity); }), - "tie_break: 99 is not a value of EdgeTieBreak"); - EXPECT_EQ(error_of([] { (void)PathSelection(EdgeTieBreak::Deterministic, static_cast(99)); }), - "priority: 99 is not a value of EdgePriority"); - EXPECT_EQ(error_of([] { (void)PathSelection(static_cast(98), static_cast(99)); }), - "tie_break: 98 is not a value of EdgeTieBreak"); - for (auto t : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { - for (auto p : {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}) { - EXPECT_NO_THROW((void)PathSelection(t, p, false, false)); - } - } - EXPECT_NO_THROW((void)(FlowPolicyConfig {Global {}, static_cast(97), static_cast(98), - PathSelection(), static_cast(96)})); +// FlowPolicyConfig and the routing models are plain values: they hold any field, a value outside +// its enumeration included (here 96 to 99, reachable by a cast), and their consumers check it +// (EnumValuesOutsideTheirEnumerationAreRejected and SeveralDefectsReportTheFirstInTheContractOrder +// below). CentralizedTE requires its source allocation: it has no default constructor. +TEST(FlowPolicyConfig, PlainValuesHoldEnumValuesOutsideTheirEnumeration) { + static_assert(!std::is_default_constructible_v); + EXPECT_NO_THROW((void)(FlowPolicyConfig {centralized(static_cast(96)), static_cast(98)})); + ShortestPaths sp; + sp.allocation = static_cast(97); + sp.source_allocation = static_cast(96); + sp.weight_basis = static_cast(95); + sp.tie_break = static_cast(99); + EXPECT_NO_THROW((void)(FlowPolicyConfig {.routing = sp})); + DistributedTE ca {TunnelCount {1}}; + ca.tie_break = static_cast(99); + EXPECT_NO_THROW((void)(FlowPolicyConfig {.routing = ca})); } -// Enumeration checks at every consuming entry: the fields stay assignable after construction, so a value -// outside its enumeration is a domain error named by its field, before any combination check, -// at every entry that takes the field; it never reaches a record. +// Enumeration checks at every consuming entry: the fields stay assignable after construction, so +// a value outside its enumeration is a domain error named by its field (allocation, +// source_allocation, weight_basis, tie_break, admission), before any matrix check, at every entry +// that takes the configuration; it never reaches a record. TEST(FlowPolicyConfig, EnumValuesOutsideTheirEnumerationAreRejected) { auto g = diamond(5, 5); FlowLedger fg(g); - const auto bad_placement = static_cast(99); - const auto bad_admission = static_cast(99); - const auto bad_tie = static_cast(99); - const auto bad_priority = static_cast(99); - const auto bad_direction = static_cast(99); - auto tie_sel = sel(); - tie_sel.tie_break = bad_tie; - auto priority_sel = sel(); - priority_sel.priority = bad_priority; const Pinned pinned = pinned_dags(*g, 0, 3, {dag_of(*g, {0, 2})}); - const std::vector modes = {CostOnly {}, CapacityAware {Tunnels {1}}, Global {}, pinned}; - struct Bad { - std::function make; - const char* field; - }; - // A valid configuration with one field assigned outside its enumeration. - const auto assigned = [](const Routing& r, const std::function& set) { - auto c = cfg(r, FlowPlacement::MaxFlow); - set(c); - return c; + std::vector> cases; + const auto sp_with = [](const std::function& set) { + ShortestPaths sp; + sp.allocation = RouteAllocation::Optimized; + sp.source_allocation = SourceAllocation::Optimized; // valid, then a later defect + set(sp); + return FlowPolicyConfig {.routing = sp, .admission = Admission::Lossy}; // Lossy: a matrix defect after }; - const std::vector bads = { - {[&](const Routing& r) { return assigned(r, [&](FlowPolicyConfig& c) { c.placement = bad_placement; }); }, - "placement: 99 is not a value of FlowPlacement"}, - {[&](const Routing& r) { return assigned(r, [&](FlowPolicyConfig& c) { c.admission = bad_admission; }); }, - "admission: 99 is not a value of Admission"}, - {[&](const Routing& r) { return assigned(r, [&](FlowPolicyConfig& c) { c.selection = tie_sel; }); }, - "selection.tie_break: 99 is not a value of EdgeTieBreak"}, - {[&](const Routing& r) { return assigned(r, [&](FlowPolicyConfig& c) { c.selection = priority_sel; }); }, - "selection.priority: 99 is not a value of EdgePriority"}, - }; - for (const auto& mode : modes) { - for (const auto& b : bads) { - const auto c = b.make(mode); - EXPECT_TRUE(contains(error_of([&] { FlowPolicy p(fg, v({0}), v({3}), c); }), b.field)) << b.field; - EXPECT_TRUE(detail::LedgerAccess::bound_owners(fg).empty()); - EXPECT_TRUE(fg.records().empty()); - QueryOptions co {c}; - EXPECT_TRUE(contains(error_of([&] { (void)capacity(*g, v({0}), v({3}), co); }), b.field)) << b.field; - EXPECT_TRUE(contains(error_of([&] { (void)sensitivity(*g, v({0}), v({3}), QueryOptions {c}, 1); }), b.field)) - << b.field; - if (!std::holds_alternative(mode)) { - const std::vector, std::vector>> pairs = {{v({0}), v({3})}}; - EXPECT_TRUE(contains(error_of([&] { (void)batch_capacity(*g, pairs, co, {}, 1); }), b.field)) << b.field; - } + cases.push_back({sp_with([](ShortestPaths& sp) { sp.allocation = static_cast(99); }), + "allocation: 99 is not a value of RouteAllocation"}); + cases.push_back({sp_with([](ShortestPaths& sp) { sp.source_allocation = static_cast(99); }), + "source_allocation: 99 is not a value of SourceAllocation"}); + cases.push_back({sp_with([](ShortestPaths& sp) { sp.weight_basis = static_cast(99); }), + "weight_basis: 99 is not a value of WeightBasis"}); + cases.push_back({sp_with([](ShortestPaths& sp) { sp.tie_break = static_cast(99); }), + "tie_break: 99 is not a value of RouteTieBreak"}); + cases.push_back({{.routing = centralized(static_cast(99)), .admission = Admission::Lossy}, + "source_allocation: 99 is not a value of SourceAllocation"}); + DistributedTE ca {TunnelCount {0}}; + ca.tie_break = static_cast(99); + cases.push_back({{.routing = ca}, "tie_break: 99 is not a value of RouteTieBreak"}); + for (const Routing& r : {Routing {ShortestPaths {}}, Routing {DistributedTE {TunnelCount {0}}}, Routing {centralized()}, + Routing {pinned}}) { + cases.push_back({{.routing = r, .admission = static_cast(99)}, "admission: 99 is not a value of Admission"}); + } + for (const auto& [c, text] : cases) { + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({3}), c); }), text); + EXPECT_TRUE(detail::LedgerAccess::bound_policy_ids(fg).empty()); + EXPECT_TRUE(fg.records().empty()); + EvaluationOptions co {c}; + EXPECT_EQ(error_of([&] { (void)evaluate_demand(*g, v({0}), v({3}), co); }), text); + EXPECT_EQ(error_of([&] { (void)evaluate_edge_failures(*g, v({0}), v({3}), EvaluationOptions {c}, 1); }), text); + if (!std::holds_alternative(c.routing)) { + const std::vector, std::vector>> pairs = {{v({0}), v({3})}}; + EXPECT_EQ(error_of([&] { (void)evaluate_pairs(*g, pairs, co, {}, 1); }), text); } } // The kernel check, the search and the cache's key. - EXPECT_TRUE(contains(error_of([&] { detail::check_kernel(bad_placement, Admission::Lossless); }), "placement: 99")); - EXPECT_TRUE(contains(error_of([&] { detail::check_kernel(FlowPlacement::MaxFlow, bad_admission); }), "admission: 99")); + const auto bad_allocation = static_cast(99); + const auto bad_direction = static_cast(99); + EXPECT_TRUE(contains(error_of([&] { detail::check_kernel(bad_allocation, Admission::Lossless); }), "allocation: 99")); + EXPECT_TRUE(contains(error_of([&] { detail::check_kernel(RouteAllocation::Optimized, static_cast(99)); }), + "admission: 99")); { - SpfOptions o(Direction::Forward, sel()); + SpfOptions o(Direction::Forward); o.direction = bad_direction; EXPECT_TRUE(contains(error_of([&] { (void)spf(*g, v({0}), o); }), "direction: 99 is not a value of Direction")); - EXPECT_TRUE(contains(error_of([&] { SpfOptions bad(bad_direction, sel()); }), "direction: 99 is not a value of Direction")); - SpfOptions t(Direction::Forward, tie_sel); - EXPECT_TRUE(contains(error_of([&] { (void)spf(*g, v({0}), t); }), "selection.tie_break: 99")); - SpfOptions p(Direction::Forward, priority_sel); - EXPECT_TRUE(contains(error_of([&] { (void)spf(*g, v({0}), p); }), "selection.priority: 99")); + EXPECT_TRUE(contains(error_of([&] { SpfOptions bad(bad_direction); }), "direction: 99 is not a value of Direction")); + SpfOptions t(Direction::Forward); + t.tie_break = static_cast(99); + EXPECT_TRUE(contains(error_of([&] { (void)spf(*g, v({0}), t); }), "tie_break: 99 is not a value of RouteTieBreak")); } - DagCache cache(*g); + ShortestPathCache cache(*g); EXPECT_TRUE(contains(error_of([&] { (void)cache.lookup(*g, v({3}), bad_direction, nullptr); }), "direction: 99")); const auto st = cache.stats(); EXPECT_EQ(st.hits + st.misses + st.entries, 0); } -// The configuration with several defects at once: one error, the first in FlowPolicyConfig's -// order: the enumeration values (placement, admission, origin, the selection's tie_break and -// priority, assigned out of their enumerations), then the model's row of the matrix, its columns -// left to right (T1: an "up to" count first; then placement, origin, admission, selection, weights -// with edge_weights), then the DagCache, then T1's parameters, then edge_weights' length and -// entries. Exact texts; the same first error at construction and at the evaluators; nothing is -// bound. +// A configuration with two defects at once: one error, the first in the documented order: +// the enumeration values; the matrix (route and source allocation, admission, the ineffective tie +// rule, the pooled single-path rule, prefer_headroom, the weight combinations, then a cache on a +// model that does not read it); the tunnel count, an "up to" count for T1, the ceilings, the search +// minimum and edge_weights' length and entries; the tunnel limit; a Pinned program's endpoints. +// Exact texts; the same first error at construction and at the evaluators; nothing is bound. TEST(FlowPolicyConfig, SeveralDefectsReportTheFirstInTheContractOrder) { auto g = diamond(5, 5); FlowLedger fg(g); - const auto bad_placement = static_cast(99); - const auto bad_admission = static_cast(98); - const auto bad_tie = static_cast(97); - const auto bad_priority = static_cast(96); - const auto bad_origin = static_cast(95); - const CapacityAware zero {Tunnels {0}}; - const CapacityAware zero_up_to {Tunnels {0, true}}; - const Pinned pin = pinned_dags(*g, 0, 3, {dag_of(*g, {0, 2})}); - const auto weights2 = std::make_shared>(std::vector {1, 1}); - const auto too_big = std::make_shared>(std::vector {1, 1, kDomainLimit, -1}); + ShortestPathCache cache(*g); + const auto weights = [](std::vector w) { return std::make_shared>(std::move(w)); }; + const auto sp = [](RouteAllocation k, std::optional source = std::nullopt) { + ShortestPaths out; + out.allocation = k; + out.source_allocation = source; + return out; + }; struct Case { + const char* why; FlowPolicyConfig c; + std::vector sources; + bool with_cache; std::string error; }; - const auto bad_sel = [&](std::optional t, EdgePriority p) { - PathSelection s = sel(); - if (t) s.tie_break = *t; - s.priority = p; - return s; - }; - const std::vector cases = { - {{Global {}, bad_placement, bad_admission, bad_sel(bad_tie, bad_priority), bad_origin}, - "placement: 99 is not a value of FlowPlacement"}, - {{Global {}, FlowPlacement::Weighted, bad_admission, bad_sel(bad_tie, bad_priority), bad_origin}, - "admission: 98 is not a value of Admission"}, - {{Global {}, FlowPlacement::Weighted, Admission::Lossy, bad_sel(bad_tie, bad_priority), bad_origin}, - "origin: 95 is not a value of Origin"}, - {{zero, FlowPlacement::MaxFlow, Admission::Lossy, bad_sel(bad_tie, bad_priority), Origin::Optimized}, - "selection.tie_break: 97 is not a value of EdgeTieBreak"}, - {{zero, FlowPlacement::MaxFlow, Admission::Lossy, bad_sel(std::nullopt, bad_priority), Origin::Optimized}, - "selection.priority: 96 is not a value of EdgePriority"}, - // The rows, column by column; Global rejects a selection before its row. - {{Global {}, FlowPlacement::MaxFlow, Admission::Lossy, sel(), Origin::Equal}, "Global does not accept selection"}, - {{Global {}, FlowPlacement::MaxFlow, Admission::Lossy, std::nullopt, Origin::Equal}, "Global does not accept placement"}, - {{Global {}, std::nullopt, Admission::Lossy, std::nullopt, Origin::Equal}, "MAX_FLOW requires admission=LOSSLESS"}, - {{CostOnly {}, std::nullopt, Admission::Lossy, sel(), Origin::Optimized}, "CostOnly requires placement"}, - {{CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy, sel(), Origin::Optimized}, - "CostOnly with EQUAL_BALANCED or WEIGHTED requires origin=EQUAL"}, - {{CostOnly {}, FlowPlacement::Weighted, Admission::Lossy, sel(), Origin::Optimized}, - "CostOnly with EQUAL_BALANCED or WEIGHTED requires origin=EQUAL"}, - {{CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossy, sel(), Origin::Equal}, kLossyKernelError}, - // The weights column (with edge_weights), after the selection. - {{CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, sel(), std::nullopt, WeightBasis::Capacity}, - "weights require CostOnly placement=WEIGHTED"}, - {{CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossless, sel(), std::nullopt, std::nullopt, weights2}, - "edge_weights require weights=EXPLICIT"}, - {{CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, sel(), std::nullopt, WeightBasis::Explicit}, - "weights=EXPLICIT requires edge_weights"}, - {{CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, sel(), std::nullopt, WeightBasis::ResidualSnapshot, - weights2}, - "edge_weights require weights=EXPLICIT"}, - {{CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, sel(), std::nullopt, WeightBasis::Explicit, weights2}, - "edge_weights: expected 4 entries"}, - {{CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, sel(), std::nullopt, WeightBasis::Explicit, too_big}, - "edge_weights[2] must be an integer in [0, 2^62)"}, - {{Global {}, std::nullopt, Admission::Lossless, std::nullopt, std::nullopt, WeightBasis::Capacity}, - "Global does not accept weights"}, - {{Global {}, std::nullopt, Admission::Lossless, std::nullopt, std::nullopt, std::nullopt, weights2}, - "Global does not accept edge_weights"}, - {{zero_up_to, FlowPlacement::MaxFlow, Admission::Lossy, sel(), Origin::Optimized}, "T1 requires an exact tunnel count"}, - {{zero, FlowPlacement::MaxFlow, Admission::Lossy, sel(), Origin::Optimized}, "T1 does not accept placement"}, - {{zero, std::nullopt, Admission::Lossy, sel(), Origin::Optimized}, "T1 requires origin=EQUAL"}, - {{zero, std::nullopt, Admission::Lossy, sel(EdgeTieBreak::Deterministic, EdgePriority::Capacity, true), Origin::Equal}, - "T1 requires multipath=False"}, - {{zero, std::nullopt, Admission::Lossy, sel(), Origin::Equal, WeightBasis::Capacity}, "T1 does not accept weights"}, - {{zero, std::nullopt, Admission::Lossless, sel(), std::nullopt, std::nullopt, weights2}, - "T1 does not accept edge_weights"}, - {{zero, std::nullopt, Admission::Lossy}, "tunnel count must be in [1, 10000]"}, - {{pin, FlowPlacement::MaxFlow, Admission::Lossy, sel(), Origin::Equal}, "Pinned does not accept placement"}, - {{pin, std::nullopt, Admission::Lossy, sel(), Origin::Equal}, "Pinned does not accept origin"}, - {{pin, std::nullopt, Admission::Lossy, sel()}, "Pinned does not accept selection"}, - {{pin, std::nullopt, Admission::Lossy, std::nullopt, std::nullopt, WeightBasis::Capacity}, - "Pinned does not accept weights"}, - {{pin, std::nullopt, Admission::Lossy, std::nullopt, std::nullopt, std::nullopt, weights2}, - "Pinned does not accept edge_weights"}, - }; - for (const auto& k : cases) { - EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({3}), k.c); }), k.error); - EXPECT_TRUE(detail::LedgerAccess::bound_owners(fg).empty()); - EXPECT_TRUE(fg.records().empty()); - QueryOptions co {k.c}; - EXPECT_EQ(error_of([&] { (void)capacity(*g, v({0}), v({3}), co); }), k.error); - EXPECT_EQ(error_of([&] { (void)sensitivity(*g, v({0}), v({3}), QueryOptions {k.c}, 1); }), k.error); - if (std::holds_alternative(k.c.routing)) continue; // batch_capacity rejects Pinned first - const std::vector, std::vector>> pairs = {{v({0}), v({3})}}; - EXPECT_EQ(error_of([&] { (void)batch_capacity(*g, pairs, co, {}, 1); }), k.error); + std::vector cases; + { + ShortestPaths x = sp(RouteAllocation::Equal, SourceAllocation::Optimized); + x.tie_break = RouteTieBreak::HigherCapacity; // also an ineffective tie + cases.push_back({"source allocation before the tie rule", {x, Admission::Lossless}, {0}, false, + "ShortestPaths with EQUAL or WEIGHTED requires source_allocation=EQUAL"}); } - // A DagCache is read by CostOnly alone: the other models reject one, after their row. - DagCache cache(*g); - const std::vector cached = { - {global_config(), "Global does not use DagCache"}, - {{Global {}, FlowPlacement::MaxFlow}, "Global does not accept placement"}, - {{CapacityAware {Tunnels {1}}, FlowPlacement::EqualBalanced}, "T1 does not accept placement"}, - {{.routing = CapacityAware {Tunnels {0}}}, "T1 does not use DagCache"}, - {{.routing = pin}, "Pinned does not use DagCache"}, - }; - for (const auto& k : cached) { - EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({3}), k.c, nullptr, &cache); }), k.error); - EXPECT_EQ(error_of([&] { (void)capacity(*g, v({0}), v({3}), QueryOptions {k.c, nullptr, &cache}); }), k.error); + { + ShortestPaths x = sp(RouteAllocation::Optimized); + x.tie_break = RouteTieBreak::HigherCapacity; + cases.push_back({"admission before the tie rule", {x, Admission::Lossy}, {0}, false, + "ShortestPaths OPTIMIZED requires admission=LOSSLESS"}); + x.multipath = false; + cases.push_back({"the pooled rule before the weights", {x, Admission::Lossless}, {0, 1}, false, + "ShortestPaths with multiple input sources requires tie_break=FEWER_HOPS when multipath=False"}); + } + { + ShortestPaths x = sp(RouteAllocation::Equal); + x.tie_break = RouteTieBreak::HigherCapacity; + x.weight_basis = WeightBasis::Capacity; + cases.push_back({"the tie rule before the weights", {x, Admission::Lossless}, {0}, false, + "ShortestPaths tie_break requires multipath=False or parallel_edges=False"}); + } + { + // V3: two sources, a single path under HIGHER_CAPACITY and explicit weights of the wrong length. + ShortestPaths x = sp(RouteAllocation::Weighted); + x.weight_basis = WeightBasis::Explicit; + x.edge_weights = weights({1}); + x.multipath = false; + x.tie_break = RouteTieBreak::HigherCapacity; + cases.push_back({"the pooled rule before the vectors", {x, Admission::Lossless}, {0, 1}, false, + "ShortestPaths with multiple input sources requires tie_break=FEWER_HOPS when multipath=False"}); + x.tie_break = RouteTieBreak::FewerHops; + cases.push_back({"the vectors last", {x, Admission::Lossless}, {0, 1}, false, "edge_weights: expected 4 entries"}); + } + { + ShortestPaths x = sp(RouteAllocation::Equal); + x.weight_basis = WeightBasis::Explicit; + cases.push_back({"weights on another allocation", {x, Admission::Lossless}, {0}, true, + "weight_basis requires allocation=WEIGHTED"}); + x.allocation = RouteAllocation::Weighted; + cases.push_back({"explicit weights without the array", {x, Admission::Lossless}, {0}, false, + "weight_basis=EXPLICIT requires edge_weights"}); + x.weight_basis = WeightBasis::Capacity; + x.edge_weights = weights({1, 1, 1, 1}); + cases.push_back({"an array without explicit weights", {x, Admission::Lossless}, {0}, false, + "edge_weights require weight_basis=EXPLICIT"}); + x.weight_basis = WeightBasis::Explicit; + x.edge_weights = weights({1, 1, kDomainLimit, -1}); + cases.push_back({"the first entry out of range", {x, Admission::Lossless}, {0}, false, + "edge_weights[2] must be an integer in [0, 2^62)"}); + } + // CentralizedTE: T2's several-sources rule before its tunnel count (today it came after); a + // live controller's admission before prefer_headroom; prefer_headroom before the cache. + cases.push_back({"T2's sources before the count", {centralized(SourceAllocation::Optimized, {}, TunnelCount {0}), Admission::Lossy}, + {0, 1}, false, "CentralizedTE with tunnel_count and several sources requires source_allocation=EQUAL"}); + cases.push_back({"admission before prefer_headroom", {centralized(SourceAllocation::Equal, {}, std::nullopt, true), Admission::Lossy}, + {0}, false, "CentralizedTE without tunnel_count requires admission=LOSSLESS"}); + cases.push_back({"prefer_headroom before the cache", {centralized(SourceAllocation::Equal, {}, std::nullopt, true)}, {0}, true, + "prefer_headroom requires tunnel_count"}); + cases.push_back({"the cache before T2's count", {centralized(SourceAllocation::Equal, {}, TunnelCount {0})}, {0}, true, + "CentralizedTE does not use ShortestPathCache"}); + cases.push_back({"T2's count", {centralized(SourceAllocation::Equal, {}, TunnelCount {0})}, {0}, false, + "tunnel count must be in [1, 10000]"}); + // T1: the cache, then the count before up_to, up_to before the ceiling, the ceiling before the + // search minimum. + cases.push_back({"the cache before T1's count", {DistributedTE {TunnelCount {0}}}, {0}, true, + "DistributedTE does not use ShortestPathCache"}); + cases.push_back({"the count before up_to", {DistributedTE {TunnelCount {0, true}}}, {0}, false, + "tunnel count must be in [1, 10000]"}); + { + DistributedTE x {TunnelCount {2, true}, AbsoluteCost {-1}}; + cases.push_back({"up_to before the ceiling", {x}, {0}, false, "DistributedTE requires an exact tunnel count"}); + x.tunnel_count.up_to = false; + x.min_unreserved_bandwidth = kDomainLimit; + cases.push_back({"the ceiling before the minimum", {x}, {0}, false, "cost_ceiling AbsoluteCost cost must be >= 0 (got -1)"}); + x.cost_ceiling.reset(); + cases.push_back({"the minimum", {x}, {0}, false, "min_unreserved_bandwidth must be an integer in [0, 2^62)"}); + } + // Pinned: the cache before the program's endpoints. + const Pinned other_endpoints = pinned_dags(*g, 0, 3, {dag_of(*g, {0, 2})}); + cases.push_back({"the cache before the endpoints", {other_endpoints}, {0, 1}, true, "Pinned does not use ShortestPathCache"}); + cases.push_back({"the endpoints", {other_endpoints}, {0, 1}, false, "program endpoints do not match policy endpoints"}); + for (const auto& k : cases) { + ShortestPathCache* c = k.with_cache ? &cache : nullptr; + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, k.sources, v({3}), k.c, nullptr, c); }), k.error) << k.why; + EXPECT_TRUE(detail::LedgerAccess::bound_policy_ids(fg).empty()) << k.why; + EXPECT_TRUE(fg.records().empty()) << k.why; + const EvaluationOptions co {k.c, nullptr, c}; + EXPECT_EQ(error_of([&] { (void)evaluate_demand(*g, k.sources, v({3}), co); }), k.error) << k.why; + EXPECT_EQ(error_of([&] { (void)evaluate_edge_failures(*g, k.sources, v({3}), co, 1); }), k.error) << k.why; } - EXPECT_TRUE(detail::LedgerAccess::bound_owners(fg).empty()); + EXPECT_EQ(cache.stats().misses + cache.stats().hits, 0); } -// Every field has a default but the routing's own: an empty configuration is CostOnly without a -// placement, rejected when used; the policy's snapshot resolves the origin and the selection. -TEST(FlowPolicyConfig, DefaultsResolveAtThePolicy) { +// Every field has a default but CentralizedTE's source allocation: ShortestPaths() is ECMP (EQUAL), +// and the policy's snapshot resolves the absent source allocation (the allocation's default) and +// the absent weight basis of WEIGHTED (CAPACITY); SP() and SP(allocation=EQUAL) give one snapshot. +TEST(FlowPolicyConfig, ShortestPathsDefaults) { auto g = diamond(5, 5); - FlowLedger fg(g); const FlowPolicyConfig empty; - EXPECT_TRUE(std::holds_alternative(empty.routing)); - EXPECT_FALSE(empty.placement.has_value()); + ASSERT_TRUE(std::holds_alternative(empty.routing)); + const auto& d = std::get(empty.routing); + EXPECT_EQ(d.allocation, RouteAllocation::Equal); + EXPECT_FALSE(d.source_allocation.has_value() || d.weight_basis.has_value() || d.edge_weights); + EXPECT_EQ(d.tie_break, RouteTieBreak::FewerHops); + EXPECT_TRUE(d.multipath && d.parallel_edges); EXPECT_EQ(empty.admission, Admission::Lossless); - EXPECT_FALSE(empty.selection.has_value()); - EXPECT_FALSE(empty.origin.has_value()); - EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({3}), empty); }), "CostOnly requires placement"); const auto snapshot = [&](FlowPolicyConfig c) { FlowLedger own(g); FlowPolicy p(own, v({0}), v({3}), std::move(c)); return p.config(); }; - const auto eb = snapshot({.routing = CostOnly {}, .placement = FlowPlacement::EqualBalanced}); - EXPECT_EQ(eb.origin, Origin::Equal); - EXPECT_TRUE(eb.selection == PathSelection()); - EXPECT_EQ(snapshot({.routing = CostOnly {}, .placement = FlowPlacement::Weighted}).origin, Origin::Equal); - EXPECT_EQ(snapshot({.routing = CostOnly {}, .placement = FlowPlacement::MaxFlow}).origin, Origin::Optimized); - EXPECT_EQ(snapshot({.routing = CostOnly {}, .placement = FlowPlacement::MaxFlow, .origin = Origin::Equal}).origin, - Origin::Equal); - const auto global = snapshot({.routing = Global {}}); - EXPECT_EQ(global.origin, Origin::Optimized); - EXPECT_FALSE(global.selection.has_value()); - EXPECT_FALSE(global.placement.has_value()); - EXPECT_EQ(snapshot({.routing = Global {}, .origin = Origin::Equal}).origin, Origin::Equal); - const auto tunnels = snapshot({.routing = CapacityAware {Tunnels {2}}}); - EXPECT_EQ(tunnels.origin, Origin::Equal); - EXPECT_TRUE(tunnels.selection == PathSelection()); - EXPECT_FALSE(tunnels.selection->multipath.has_value()); - EXPECT_FALSE(tunnels.placement.has_value()); - const auto pinned = snapshot({.routing = pinned_dags(*g, 0, 3, {dag_of(*g, {0, 2})})}); - EXPECT_FALSE(pinned.origin.has_value() || pinned.selection.has_value() || pinned.weights.has_value()); - // Weighted's absent weights resolve to Capacity; the other placements keep none. - EXPECT_EQ(snapshot({.routing = CostOnly {}, .placement = FlowPlacement::Weighted}).weights, WeightBasis::Capacity); - EXPECT_FALSE(eb.weights.has_value()); + const auto resolved = [&](ShortestPaths x) { return std::get(snapshot({.routing = x}).routing); }; + const auto ecmp = resolved(ShortestPaths {}); + EXPECT_EQ(ecmp.source_allocation, SourceAllocation::Equal); + EXPECT_FALSE(ecmp.weight_basis.has_value()); + EXPECT_EQ(ecmp.allocation, resolved(shortest_paths(RouteAllocation::Equal)).allocation); + EXPECT_EQ(ecmp.source_allocation, resolved(shortest_paths(RouteAllocation::Equal)).source_allocation); + const auto weighted = resolved(shortest_paths(RouteAllocation::Weighted)); + EXPECT_EQ(weighted.source_allocation, SourceAllocation::Equal); + EXPECT_EQ(weighted.weight_basis, WeightBasis::Capacity); + const auto optimized = resolved(shortest_paths(RouteAllocation::Optimized)); + EXPECT_EQ(optimized.source_allocation, SourceAllocation::Optimized); + EXPECT_FALSE(optimized.weight_basis.has_value()); + ShortestPaths equal_controller = shortest_paths(RouteAllocation::Optimized); + equal_controller.source_allocation = SourceAllocation::Equal; + EXPECT_EQ(resolved(equal_controller).source_allocation, SourceAllocation::Equal); + // The other models keep what they were given. + EXPECT_EQ(std::get(snapshot({.routing = centralized(SourceAllocation::Equal)}).routing).source_allocation, + SourceAllocation::Equal); + const auto tunnels = std::get(snapshot({.routing = DistributedTE {TunnelCount {2}}}).routing); + EXPECT_EQ(tunnels.tie_break, RouteTieBreak::FewerHops); + EXPECT_TRUE(tunnels.parallel_edges); } // config() is the copy taken at construction: every field as given, and a later change of the @@ -410,25 +413,26 @@ TEST(FlowPolicyConfig, DefaultsResolveAtThePolicy) { TEST(FlowPolicyConfig, ConfigIsTheCopyTakenAtConstruction) { auto g = diamond(5, 5); FlowLedger fg(g); - CapacityAware ca {Tunnels {2}}; - ca.max_path_cost = Absolute {9}; + DistributedTE ca {TunnelCount {2}}; + ca.cost_ceiling = AbsoluteCost {9}; ca.min_unreserved_bandwidth = 1; - const auto selection = sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, false); - FlowPolicyConfig c {.routing = ca, .admission = Admission::Lossy, .selection = selection}; + ca.tie_break = RouteTieBreak::HigherAvailableCapacity; + ca.parallel_edges = false; + FlowPolicyConfig c {.routing = ca, .admission = Admission::Lossy}; FlowPolicy p(fg, v({0}), v({3}), c); c.admission = Admission::Lossless; - c.selection = sel(); - std::get(c.routing).tunnels.count = 7; + std::get(c.routing).tunnel_count.per_head = 7; + std::get(c.routing).tie_break = RouteTieBreak::FewerHops; const auto& got = p.config(); EXPECT_NE(&got, &c); - EXPECT_FALSE(got.placement.has_value()); EXPECT_EQ(got.admission, Admission::Lossy); - EXPECT_TRUE(got.selection == selection); - ASSERT_TRUE(std::holds_alternative(got.routing)); - const auto& r = std::get(got.routing); - EXPECT_EQ(r.tunnels, (Tunnels {2, false})); - EXPECT_TRUE(r.max_path_cost == std::optional {Absolute {9}}); + ASSERT_TRUE(std::holds_alternative(got.routing)); + const auto& r = std::get(got.routing); + EXPECT_EQ(r.tunnel_count, (TunnelCount {2, false})); + EXPECT_TRUE(r.cost_ceiling == std::optional {AbsoluteCost {9}}); EXPECT_EQ(r.min_unreserved_bandwidth, 1); + EXPECT_EQ(r.tie_break, RouteTieBreak::HigherAvailableCapacity); + EXPECT_FALSE(r.parallel_edges); // Pinned: the supplied program and black holes themselves (shared, never copied); explicit // weights: the configuration's one array, shared by every policy built from it. const auto dark = std::make_shared(g->eligibility({}, std::vector {1})); @@ -438,63 +442,63 @@ TEST(FlowPolicyConfig, ConfigIsTheCopyTakenAtConstruction) { ASSERT_TRUE(std::holds_alternative(q.config().routing)); EXPECT_EQ(std::get(q.config().routing).program.get(), pin.program.get()); EXPECT_EQ(std::get(q.config().routing).black_holes.get(), dark.get()); - const FlowPolicyConfig explicit_weights {CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, std::nullopt, - std::nullopt, WeightBasis::Explicit, - std::make_shared>(std::vector {1, 2, 3, 4})}; + ShortestPaths wcmp = shortest_paths(RouteAllocation::Weighted); + wcmp.weight_basis = WeightBasis::Explicit; + wcmp.edge_weights = std::make_shared>(std::vector {1, 2, 3, 4}); + const FlowPolicyConfig explicit_weights {.routing = wcmp}; FlowPolicy a(fg2, v({0}), v({3}), explicit_weights); FlowPolicy b(fg2, v({0}), v({3}), explicit_weights); - EXPECT_EQ(a.config().edge_weights.get(), explicit_weights.edge_weights.get()); - EXPECT_EQ(b.config().edge_weights.get(), explicit_weights.edge_weights.get()); + EXPECT_EQ(std::get(a.config().routing).edge_weights.get(), wcmp.edge_weights.get()); + EXPECT_EQ(std::get(b.config().routing).edge_weights.get(), wcmp.edge_weights.get()); } -// The selection's priority is no weight. Two parallel edges 0 -> 1 of 4 units (EdgeIds 0 and 1), -// a third party holding 3 units of edge 0, request 5. CostOnly Weighted over both edges: its -// weight basis decides (Capacity 4 : 4 carries at most 1 + 1 = 2, edge 0 having 1 unit left; a -// residual snapshot 1 : 4 at preparation carries 1 + 4 = 5) under every tie break and priority -// that keeps both edges. Global, Global on the two edges as its support, and Pinned over one split -// route of both edges (EqualBalanced 2; Weighted with capacity weights 2, with the snapshot 5) take -// no selection. Control: CostOnly reads the selection (a single path, multipath = false, carries -// less than the two-edge DAG). -TEST(FlowPolicyConfig, ThePriorityIsNoWeight) { +// The tie rule is no weight. Two parallel edges 0 -> 1 of 4 units (EdgeIds 0 and 1), a third party +// holding 3 units of edge 0, request 5. ShortestPaths Weighted over both edges: its weight basis +// decides (Capacity 4 : 4 carries at most 1 + 1 = 2, edge 0 having 1 unit left; a residual +// snapshot 1 : 4 at preparation carries 1 + 4 = 5) under the one tie rule that keeps both edges, +// FEWER_HOPS (a HIGHER_* tie_break needs multipath=False or parallel_edges=False, either of which +// keeps one edge). CentralizedTE, CentralizedTE on the two edges as its support, and Pinned over one +// split route of both edges (Equal 2; Weighted with capacity weights 2, with the snapshot 5) take +// no route choice. Control: ShortestPaths reads the route choice (a single path, multipath = false, +// carries less than the two-edge DAG). +TEST(FlowPolicyConfig, TheTieRuleIsNoWeight) { auto g = shared(make_graph(2, {{0, 1, 4, 1}, {0, 1, 4, 1}})); using Edges = std::vector>; - // The placement of request 5 after the third party: (placed, the policy's records' edges). + // The placement of request 5 after the third party: (call_delivered, the policy's records' edge_flows). auto run = [&](const FlowPolicyConfig& c) { FlowLedger fg(g); - FlowPolicy other(fg, v({0}), v({1}), FlowPolicyConfig {.routing = Global {dag_of(*g, {0})}}); - EXPECT_EQ(other.place(3).placed, 3); + FlowPolicy other(fg, v({0}), v({1}), FlowPolicyConfig {.routing = centralized(SourceAllocation::Optimized, dag_of(*g, {0}))}); + EXPECT_EQ(other.place(3).call_delivered, 3); FlowPolicy p(fg, v({0}), v({1}), c); const auto r = p.place(5); std::vector edges; - for (const auto& rec : p.records()) edges.push_back(rec.edges); - return std::pair {r.placed, edges}; + for (const auto& rec : p.records()) edges.push_back(rec.edge_flows); + return std::pair {r.call_delivered, edges}; }; - for (auto t : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { - for (auto pr : {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}) { - for (auto basis : {WeightBasis::Capacity, WeightBasis::ResidualSnapshot}) { - const bool snapshot = basis == WeightBasis::ResidualSnapshot; - const auto got = run({CostOnly {}, FlowPlacement::Weighted, Admission::Lossless, sel(t, pr), std::nullopt, basis}); - EXPECT_EQ(got.first, snapshot ? 5 : 2); - EXPECT_EQ(got.second, (std::vector {snapshot ? Edges {{0, 1}, {1, 4}} : Edges {{0, 1}, {1, 1}}})); - } - } + for (auto basis : {WeightBasis::Capacity, WeightBasis::ResidualSnapshot}) { + const bool snapshot = basis == WeightBasis::ResidualSnapshot; + ShortestPaths wcmp = shortest_paths(RouteAllocation::Weighted); + wcmp.weight_basis = basis; + const auto got = run({.routing = wcmp}); + EXPECT_EQ(got.first, snapshot ? 5 : 2); + EXPECT_EQ(got.second, (std::vector {snapshot ? Edges {{0, 1}, {1, 4}} : Edges {{0, 1}, {1, 1}}})); } const auto both = dag_of(*g, {0, 1}); - EXPECT_EQ(run({.routing = Global {}}).first, 5); - EXPECT_EQ(run({.routing = Global {both}}).first, 5); + EXPECT_EQ(run({.routing = centralized()}).first, 5); + EXPECT_EQ(run({.routing = centralized(SourceAllocation::Optimized, both)}).first, 5); EXPECT_EQ(run({.routing = pinned_dags(*g, 0, 1, {both})}).first, 2); - EXPECT_EQ(run({.routing = pinned_dags(*g, 0, 1, {both}, FlowPlacement::Weighted)}).first, 2); + EXPECT_EQ(run({.routing = pinned_dags(*g, 0, 1, {both}, RouteAllocation::Weighted)}).first, 2); RouteOptions snap; - snap.placement = FlowPlacement::Weighted; - snap.weights = WeightBasis::ResidualSnapshot; + snap.allocation = RouteAllocation::Weighted; + snap.weight_basis = WeightBasis::ResidualSnapshot; snap.residual = std::vector {1, 4}; const NodeId s0[1] = {0}; const NodeId d1[1] = {1}; - const Route route[1] = {Route {0, both, 1}}; + const RouteDefinition route[1] = {RouteDefinition {0, both, 1}}; EXPECT_EQ(run({.routing = Pinned {ForwardingProgram::from_routes(*g, s0, d1, route, snap), nullptr}}).first, 5); - EXPECT_EQ(run(cfg(CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossless, sel())).first, 5); - EXPECT_EQ(run(cfg(CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossless, - sel(EdgeTieBreak::Deterministic, EdgePriority::Capacity, false))) + EXPECT_EQ(run(cfg(ShortestPaths {}, RouteAllocation::Optimized, Admission::Lossless, sel())).first, 5); + EXPECT_EQ(run(cfg(ShortestPaths {}, RouteAllocation::Optimized, Admission::Lossless, + sel(RouteTieBreak::FewerHops, false))) .first, 1); } @@ -502,7 +506,7 @@ TEST(FlowPolicyConfig, ThePriorityIsNoWeight) { namespace { // What a rejected call must leave as it was: the policy's epoch state (the requested total, the -// +inf flag, the placed demand, the Global curve and each roster source's flows with their routes) +// +inf flag, delivered(), the CentralizedTE curve and each roster source's flows with their routes) // and the ledger (every record field, the allocations, the residual, the next FlowId and the // owners). A flow's source is its roster source's, and its record's sources are compared. struct PolicyState { @@ -529,7 +533,7 @@ std::map delivered_by_source(const FlowPolicy& p) { // A request rejected by validation (out of [0, 2^62), finite after +inf, a cumulative total // that would reach 2^127) changes neither the policy's epoch state nor the ledger, under every -// routing model with incremental placement (T1's calls: tunnels_t1_tests.cpp); validation +// routing model with incremental placement (T1's calls: distributed_te_tests.cpp); validation // precedes the shortcut of a zero request (place(0) after +inf is rejected too), and remove() ends // the epoch, after which a finite request places again. The 2^127 case starts from a requested // total set just below the limit. @@ -537,17 +541,17 @@ TEST(FlowPolicyRequests, RejectedRequestsLeaveThePolicyAndTheLedger) { auto g = diamond(5, 3, 2); const Pinned pinned = pinned_dags(*g, 0, 3, {dag_of(*g, {0, 2}), dag_of(*g, {1, 3})}); const std::vector> configs = { - {"CostOnly", cost_only_config()}, - {"Global", global_config()}, + {"ShortestPaths", cost_only_config()}, + {"CentralizedTE", global_config()}, {"Pinned", {.routing = pinned}}, - {"Global support", {.routing = Global {dag_of(*g, {0, 2})}}}, - {"CostOnly Lossy", cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy)}}; + {"CentralizedTE support", {.routing = centralized(SourceAllocation::Optimized, dag_of(*g, {0, 2}))}}, + {"ShortestPaths Lossy", cfg(ShortestPaths {}, RouteAllocation::Equal, Admission::Lossy)}}; const std::string range_error = "offer must be an integer in [0, 2^62) or permitted +inf"; const std::string after_inf = "finite placement after infinite placement requires a new epoch"; for (const auto& [name, config] : configs) { FlowLedger fg(g); FlowPolicy p(fg, v({0}), v({3}), config); - ASSERT_GT(p.place(4).placed, 0) << name; + ASSERT_GT(p.place(4).call_delivered, 0) << name; const auto finite = state_of(p, fg); EXPECT_EQ(error_of([&] { (void)p.place(-1); }), range_error) << name; EXPECT_EQ(error_of([&] { (void)p.place(kDomainLimit); }), range_error) << name; @@ -568,7 +572,7 @@ TEST(FlowPolicyRequests, RejectedRequestsLeaveThePolicyAndTheLedger) { EXPECT_EQ(error_of([&] { (void)p.place(-1); }), range_error) << name; expect_same(state_of(p, fg), infinite, name); p.remove(); - EXPECT_EQ(p.place(1).placed, 1) << name; + EXPECT_EQ(p.place(1).call_delivered, 1) << name; } } @@ -597,14 +601,14 @@ TEST(FlowPolicyRequests, LossyCountersStopBelow2To127) { Case {7, 7, offered_error}, Case {6, 6, drop_error}}) { const std::string name = "L - " + std::to_string(c.offered_below); FlowLedger fg(g); - FlowPolicy p(fg, v({0}), v({2}), cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy)); - ASSERT_EQ(p.place(1).placed, 1) << name; - std::vector drafts(1); + FlowPolicy p(fg, v({0}), v({2}), cfg(ShortestPaths {}, RouteAllocation::Equal, Admission::Lossy)); + ASSERT_EQ(p.place(1).call_delivered, 1) << name; + std::vector drafts(1); drafts[0].record = p.records().at(0); - drafts[0].id = drafts[0].record.flow_id.second; + drafts[0].record_counter = drafts[0].record.flow_id.second; drafts[0].record.offered = below(c.offered_below); - if (c.drop_below.has_value()) drafts[0].record.drops = {{1, below(*c.drop_below)}}; - (void)detail::LedgerAccess::commit(fg, detail::PolicyAccess::engine(p).owner, drafts); + if (c.drop_below.has_value()) drafts[0].record.edge_drops = {{1, below(*c.drop_below)}}; + (void)detail::LedgerAccess::commit(fg, detail::PolicyAccess::engine(p).policy_id, drafts); const auto before = state_of(p, fg); if (c.error.has_value()) { EXPECT_EQ(error_of([&] { (void)p.place(std::nullopt); }), *c.error) << name; @@ -612,17 +616,17 @@ TEST(FlowPolicyRequests, LossyCountersStopBelow2To127) { continue; } const auto r = p.place(std::nullopt); - EXPECT_EQ(r.placed, 3) << name; - EXPECT_EQ(r.call_drops, (std::vector> {{1, 6}})) << name; + EXPECT_EQ(r.call_delivered, 3) << name; + EXPECT_EQ(r.call_edge_drops, (std::vector> {{1, 6}})) << name; const auto records = p.records(); ASSERT_EQ(records.size(), 1U) << name; EXPECT_EQ(records[0].offered, below(1)) << name; - EXPECT_EQ(records[0].drops, (std::vector> {{1, Counter128 {0, 6}}})) << name; + EXPECT_EQ(records[0].edge_drops, (std::vector> {{1, Counter128 {0, 6}}})) << name; EXPECT_EQ(records[0].delivered, 4) << name; } } -// The equal origin's shares (round robin from the lowest source): a total T gives source i of k +// The equal source allocation's shares (round robin from the lowest source): a total T gives source i of k // floor(T / k) + [i < T mod k]. Sources 0 .. k - 1 with their own 100-unit edge to k. k = 3, // Lossless: place(2) admits 2, shares [1, 1, 0]; the next place(2) admits 4, shares [2, 1, 1] (the // admitted total split from zero), which a rejected call would move. Lossy injects the increments @@ -645,11 +649,11 @@ TEST(FlowPolicyRequests, RoundRobinSharesFollowTheCumulativeRequest) { auto g = star(3); FlowLedger fg(g); FlowPolicy p(fg, sources(3), v({3}), cost_only_config()); - EXPECT_EQ(p.place(2).placed, 2); + EXPECT_EQ(p.place(2).call_delivered, 2); EXPECT_EQ(delivered_by_source(p), (Shares {{0, 1}, {1, 1}, {2, 0}})); EXPECT_EQ(error_of([&] { (void)p.place(-1); }), "offer must be an integer in [0, 2^62) or permitted +inf"); EXPECT_EQ(error_of([&] { (void)p.place(kDomainLimit); }), "offer must be an integer in [0, 2^62) or permitted +inf"); - EXPECT_EQ(p.place(2).placed, 2); + EXPECT_EQ(p.place(2).call_delivered, 2); EXPECT_EQ(delivered_by_source(p), (Shares {{0, 2}, {1, 1}, {2, 1}})); } // Lossy injects the round-robin increments of the cumulative offer O (Lossless re-splits its @@ -657,9 +661,9 @@ TEST(FlowPolicyRequests, RoundRobinSharesFollowTheCumulativeRequest) { auto g = star(7); for (const auto& [offered, to] : {std::pair {Counter128 {1, 0}, NodeId {2}}, std::pair {Counter128 {1, 5}, NodeId {0}}}) { FlowLedger fg(g); - FlowPolicy p(fg, sources(7), v({7}), cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy)); + FlowPolicy p(fg, sources(7), v({7}), cfg(ShortestPaths {}, RouteAllocation::Equal, Admission::Lossy)); detail::PolicyAccess::engine(p).epoch.offered = offered; - EXPECT_EQ(p.place(1).placed, 1) << offered.lo; + EXPECT_EQ(p.place(1).call_delivered, 1) << offered.lo; for (const auto& [s, x] : delivered_by_source(p)) EXPECT_EQ(x, s == to ? 1 : 0) << offered.lo << " source " << s; EXPECT_EQ(delivered_by_source(p).at(to), 1) << offered.lo; } @@ -669,54 +673,54 @@ TEST(FlowPolicyOutputs, OwnAllocationLedgerResidualBottleneckAndGlobalCut) { auto g = diamond(5, 3); FlowLedger fg(g); // A third party holds one unit of the first route. - const Global third {dag_of(*g, {0, 2})}; - FlowPolicy other(fg, v({0}), v({3}), cfg(third, FlowPlacement::MaxFlow)); - ASSERT_EQ(other.place(1).placed, 1); + const CentralizedTE third = centralized(SourceAllocation::Optimized, dag_of(*g, {0, 2})); + FlowPolicy other(fg, v({0}), v({3}), cfg(third, RouteAllocation::Optimized)); + ASSERT_EQ(other.place(1).call_delivered, 1); FlowPolicy p(fg, v({0}), v({3}), cost_only_config()); const OutputOptions all {true, true, true}; auto r = p.place(4, all); - // Both routes cost 2: EqualBalanced puts 2 units on each, so every edge carries 2 of this + // Both routes cost 2: Equal puts 2 units on each, so every edge carries 2 of this // policy's units and the residuals are 5 - 1 - 2 on route 0 -> 1 -> 3 and 3 - 2 on the other. // Every edge keeps a residual unit, so the sources reach everything: no saturated edge. - EXPECT_EQ(r.placed, 4); - ASSERT_TRUE(r.edge_flows && r.residual && r.bottleneck); - EXPECT_FALSE(r.min_cut.has_value()); // not Global - EXPECT_FALSE(r.cost_distribution.has_value()); + EXPECT_EQ(r.call_delivered, 4); + ASSERT_TRUE(r.edge_flows && r.residual && r.saturated_boundary_edges); + EXPECT_FALSE(r.min_cut.has_value()); // not CentralizedTE + EXPECT_FALSE(r.marginal_cost_curve.has_value()); std::vector own(4, 0); for (const auto& rec : p.records()) { - for (const auto& [e, x] : rec.edges) own[static_cast(e)] += x; + for (const auto& [e, x] : rec.edge_flows) own[static_cast(e)] += x; } EXPECT_EQ(*r.edge_flows, (std::vector {2, 2, 2, 2})); EXPECT_EQ(*r.edge_flows, own); EXPECT_EQ(*r.residual, (std::vector {2, 1, 2, 1})); EXPECT_EQ(*r.residual, fg.residual()); - EXPECT_EQ(*r.bottleneck, std::vector {}); - EXPECT_EQ(*r.bottleneck, fg.bottleneck(v({0}))); + EXPECT_EQ(*r.saturated_boundary_edges, std::vector {}); + EXPECT_EQ(*r.saturated_boundary_edges, fg.saturated_boundary_edges(v({0}))); // Nothing requested: absent. r = p.place(1); - EXPECT_FALSE(r.edge_flows || r.residual || r.bottleneck || r.min_cut); - // Global: the curve always, min_cut when requested and the solve is maximal (at +inf; none + EXPECT_FALSE(r.edge_flows || r.residual || r.saturated_boundary_edges || r.min_cut); + // CentralizedTE: the curve always, min_cut when requested and the solve is maximal (at +inf; none // under a cap of 2 below the maximum 8, which leaves a residual path); bottleneck alone does // not request it. FlowLedger fg2(g); FlowPolicy gl(fg2, v({0}), v({3}), global_config()); r = gl.place(2, OutputOptions {false, false, true, true}); - EXPECT_EQ(r.placed, 2); - ASSERT_TRUE(r.cost_distribution.has_value()); - EXPECT_EQ(*r.cost_distribution, curve({{2, 2}})); - EXPECT_EQ(gl.placed_demand(), 2); + EXPECT_EQ(r.call_delivered, 2); + ASSERT_TRUE(r.marginal_cost_curve.has_value()); + EXPECT_EQ(*r.marginal_cost_curve, curve({{2, 2}})); + EXPECT_EQ(gl.delivered(), 2); EXPECT_FALSE(r.min_cut.has_value()); // At +inf the remaining 6 of the maximum 5 + 3: both edges out of node 0 saturate, so the // closure is {0} and the cut is 0 -> 1 and 0 -> 2 (EdgeIds 0 and 1). r = gl.place(std::nullopt, OutputOptions {false, false, true, true}); - EXPECT_EQ(r.placed, 6); - EXPECT_EQ(gl.placed_demand(), 8); + EXPECT_EQ(r.call_delivered, 6); + EXPECT_EQ(gl.delivered(), 8); ASSERT_TRUE(r.min_cut.has_value()); EXPECT_EQ(*r.min_cut, (std::vector {0, 1})); FlowLedger fg3(g); FlowPolicy gb(fg3, v({0}), v({3}), global_config()); r = gb.place(std::nullopt, OutputOptions {false, false, true}); - EXPECT_TRUE(r.bottleneck.has_value()); + EXPECT_TRUE(r.saturated_boundary_edges.has_value()); EXPECT_FALSE(r.min_cut.has_value()); } @@ -730,19 +734,19 @@ TEST(FlowPolicyOutputs, BottleneckIsTheLedgersForThePolicysSourcesAndEligibility const auto id = id_of_input(*g); const EdgeId a = id[0], x = id[1], y = id[2]; FlowLedger fg(g); - const Global third {dag_of(*g, {x, y})}; - FlowPolicy other(fg, v({0}), v({3}), cfg(third, FlowPlacement::MaxFlow)); - ASSERT_EQ(other.place(1).placed, 1); + const CentralizedTE third = centralized(SourceAllocation::Optimized, dag_of(*g, {x, y})); + FlowPolicy other(fg, v({0}), v({3}), cfg(third, RouteAllocation::Optimized)); + ASSERT_EQ(other.place(1).call_delivered, 1); const auto el = g->eligibility({}, std::vector {x}); FlowPolicy p(fg, v({0}), v({3}), cost_only_config(), &el); const auto r = p.place(2, OutputOptions {false, false, true}); - EXPECT_EQ(r.placed, 2); - ASSERT_TRUE(r.bottleneck.has_value()); - EXPECT_EQ(*r.bottleneck, std::vector {a}); - EXPECT_EQ(*r.bottleneck, fg.bottleneck(v({0}), &el)); + EXPECT_EQ(r.call_delivered, 2); + ASSERT_TRUE(r.saturated_boundary_edges.has_value()); + EXPECT_EQ(*r.saturated_boundary_edges, std::vector {a}); + EXPECT_EQ(*r.saturated_boundary_edges, fg.saturated_boundary_edges(v({0}), &el)); auto without = std::vector {a, y}; std::sort(without.begin(), without.end()); - EXPECT_EQ(fg.bottleneck(v({0})), without); // the Eligibility matters here + EXPECT_EQ(fg.saturated_boundary_edges(v({0})), without); // the Eligibility matters here } TEST(FlowPolicyGlobal, EmptyRosterReportsAnEmptyCurveAndAnEmptyCut) { @@ -752,8 +756,8 @@ TEST(FlowPolicyGlobal, EmptyRosterReportsAnEmptyCurveAndAnEmptyCut) { FlowPolicy p(fg, v({0}), v({2}), global_config()); auto r = p.place(std::nullopt, OutputOptions {false, false, true, true}); EXPECT_EQ(r.termination, Termination::NoRoute); - ASSERT_TRUE(r.cost_distribution.has_value()); - EXPECT_TRUE(r.cost_distribution->empty()); + ASSERT_TRUE(r.marginal_cost_curve.has_value()); + EXPECT_TRUE(r.marginal_cost_curve->empty()); ASSERT_TRUE(r.min_cut.has_value()); EXPECT_TRUE(r.min_cut->empty()); EXPECT_TRUE(p.records().empty()); @@ -761,43 +765,43 @@ TEST(FlowPolicyGlobal, EmptyRosterReportsAnEmptyCurveAndAnEmptyCut) { FlowPolicy q(fg, v({1}), v({2}), global_config()); r = q.place(0, OutputOptions {false, false, true, true}); EXPECT_FALSE(r.min_cut.has_value()); - EXPECT_FALSE(r.cost_distribution.has_value()); + EXPECT_FALSE(r.marginal_cost_curve.has_value()); } -// Global with a roster whose maximum flow is 0: Exhausted (a controller whose maximum is 0 over +// CentralizedTE with a roster whose maximum flow is 0: Exhausted (a controller whose maximum is 0 over // existing routes), whether or not something was placed before. One edge 0 -> 1 of 2 units that a // third party fills: the source statically reaches the destination (it is on the roster), and -// place(1) finds no flow: Exhausted, its record created empty (no bundle, no route cost, nothing +// place(1) finds no flow: Exhausted, its record created empty (no route, no min_route_cost, nothing // delivered). After the third party leaves, place(1) delivers 1; a third party then takes the other // unit, and the next place(1) re-solves 1 + 1 on a view of 1: nothing more, Exhausted. TEST(FlowPolicyGlobal, ARosterWithoutFlowIsExhausted) { auto g = shared(make_graph(2, {{0, 1, 2, 1}})); FlowLedger fg(g); - const Global edge {dag_of(*g, {0})}; - auto third = std::make_unique(fg, v({0}), v({1}), cfg(edge, FlowPlacement::MaxFlow)); - ASSERT_EQ(third->place(2).placed, 2); + const CentralizedTE edge = centralized(SourceAllocation::Optimized, dag_of(*g, {0})); + auto third = std::make_unique(fg, v({0}), v({1}), cfg(edge, RouteAllocation::Optimized)); + ASSERT_EQ(third->place(2).call_delivered, 2); FlowPolicy p(fg, v({0}), v({1}), global_config()); auto r = p.place(1); - EXPECT_EQ(r.placed, 0); + EXPECT_EQ(r.call_delivered, 0); EXPECT_EQ(r.termination, Termination::Exhausted); - ASSERT_TRUE(r.cost_distribution.has_value()); - EXPECT_TRUE(r.cost_distribution->empty()); + ASSERT_TRUE(r.marginal_cost_curve.has_value()); + EXPECT_TRUE(r.marginal_cost_curve->empty()); ASSERT_EQ(p.records().size(), 1U); - EXPECT_TRUE(ascending_edges(*p.records()[0].bundle).empty()); - EXPECT_EQ(p.records()[0].route_cost, kUnreachable); + EXPECT_TRUE(ascending_edges(*p.records()[0].route).empty()); + EXPECT_EQ(p.records()[0].min_route_cost, kUnreachable); EXPECT_EQ(p.records()[0].delivered, 0); third->remove(); r = p.place(1); - EXPECT_EQ(r.placed, 1); + EXPECT_EQ(r.call_delivered, 1); EXPECT_EQ(r.termination, Termination::Complete); - FlowPolicy fourth(fg, v({0}), v({1}), cfg(edge, FlowPlacement::MaxFlow)); - ASSERT_EQ(fourth.place(1).placed, 1); + FlowPolicy fourth(fg, v({0}), v({1}), cfg(edge, RouteAllocation::Optimized)); + ASSERT_EQ(fourth.place(1).call_delivered, 1); r = p.place(1); - EXPECT_EQ(r.placed, 0); + EXPECT_EQ(r.call_delivered, 0); EXPECT_EQ(r.termination, Termination::Exhausted); } -// A Global zero call reports the cumulative curve (its amounts sum to placed_demand(); None +// A CentralizedTE zero call reports the cumulative curve (its amounts sum to delivered(); None // before the epoch's first positive call, also after remove()) and changes nothing; it solves // nothing, so it claims no cut. TEST(FlowPolicyGlobal, ZeroCallReportsTheCumulativeCurve) { @@ -806,37 +810,37 @@ TEST(FlowPolicyGlobal, ZeroCallReportsTheCumulativeCurve) { FlowLedger fg(g); FlowPolicy p(fg, v({0}), v({1}), global_config()); auto z = p.place(0); - EXPECT_FALSE(z.cost_distribution.has_value()); + EXPECT_FALSE(z.marginal_cost_curve.has_value()); auto r = p.place(5); - EXPECT_EQ(*r.cost_distribution, (Curve {{2, 4}, {7, 1}})); - const auto allocated = fg.allocated(); + EXPECT_EQ(*r.marginal_cost_curve, (Curve {{2, 4}, {7, 1}})); + const auto carried = fg.carried(); const auto requested = detail::PolicyAccess::engine(p).epoch.requested; z = p.place(0, OutputOptions {true, true, true, true}); - EXPECT_EQ(z.placed, 0); - EXPECT_EQ(*z.cost_distribution, *r.cost_distribution); + EXPECT_EQ(z.call_delivered, 0); + EXPECT_EQ(*z.marginal_cost_curve, *r.marginal_cost_curve); EXPECT_FALSE(z.min_cut.has_value()); - EXPECT_EQ(fg.allocated(), allocated); + EXPECT_EQ(fg.carried(), carried); EXPECT_EQ(detail::PolicyAccess::engine(p).epoch.requested, requested); r = p.place(1); // cumulative 6: the solve's curve on V = W + own - EXPECT_EQ(*r.cost_distribution, (Curve {{2, 4}, {7, 2}})); + EXPECT_EQ(*r.marginal_cost_curve, (Curve {{2, 4}, {7, 2}})); z = p.place(0); - EXPECT_EQ(*z.cost_distribution, *r.cost_distribution); + EXPECT_EQ(*z.marginal_cost_curve, *r.marginal_cost_curve); Amount sum = 0; - for (const auto& [c, x] : *z.cost_distribution) sum += x; - EXPECT_EQ(sum, p.placed_demand()); + for (const auto& [c, x] : *z.marginal_cost_curve) sum += x; + EXPECT_EQ(sum, p.delivered()); p.remove(); z = p.place(0); - EXPECT_FALSE(z.cost_distribution.has_value()); + EXPECT_FALSE(z.marginal_cost_curve.has_value()); } -// The Global layer on random graphs (nonuniform costs 1 to 9 times a factor of 1, 1,000,003 or +// The CentralizedTE layer on random graphs (nonuniform costs 1 to 9 times a factor of 1, 1,000,003 or // 2^35, zero capacities, a node or edge mask, another owner's occupancy W): each call re-solves the policy's cumulative amount on the view // W + own. After each of up to two capped calls and after place(+inf), the policy's own flow is // feasible on the view, conserved, carries the cumulative amount at the minimum cost of that // amount (the independent Bellman-Ford curve, not the flow core), its records sum to it, and its // cumulative curve is the optimal curve; at +inf the reported cut separates the sources from the -// destinations with a capacity equal to the flow. capacity() on a fresh ledger reaches the same -// maximum and curve, and batch_capacity() agrees with capacity() per pair. +// destinations with a capacity equal to the flow. evaluate_demand() on a fresh ledger reaches the same +// maximum and curve, and evaluate_pairs() agrees with evaluate_demand() per pair. TEST(FlowPolicyGlobal, RandomCumulativeSolvesAreOptimalWithACertifiedCut) { std::mt19937_64 rng(20261010); const OutputOptions all {true, true, true, true}; @@ -870,12 +874,12 @@ TEST(FlowPolicyGlobal, RandomCumulativeSolvesAreOptimalWithACertifiedCut) { const Eligibility* elig = el ? &*el : nullptr; masked += elig != nullptr ? 1 : 0; FlowLedger fg(g); - // Another owner: a Global policy between other endpoints (when the graph allows them) takes + // Another owner: a CentralizedTE policy between other endpoints (when the graph allows them) takes // part of the capacity first. std::optional other; if (n >= 6 && rng() % 2 == 0) { other.emplace(fg, v({2}), v({3}), global_config()); - occupied += other->place(static_cast(rng() % 5)).placed > 0 ? 1 : 0; + occupied += other->place(static_cast(rng() % 5)).call_delivered > 0 ? 1 : 0; } const std::vector view = fg.residual(); // W: the policy's own flow is 0 so far const auto curve_pts = independent_curve(*g, view, srcs, dsts, elig); @@ -887,10 +891,10 @@ TEST(FlowPolicyGlobal, RandomCumulativeSolvesAreOptimalWithACertifiedCut) { Amount recorded = 0; for (const auto& rec : p.records()) { recorded += rec.delivered; - for (const auto& [e, x] : rec.edges) own[static_cast(e)] += x; + for (const auto& [e, x] : rec.edge_flows) own[static_cast(e)] += x; } EXPECT_EQ(recorded, total) << at; - EXPECT_EQ(p.placed_demand(), total) << at; + EXPECT_EQ(p.delivered(), total) << at; ASSERT_TRUE(r.edge_flows.has_value() && r.residual.has_value()) << at; EXPECT_EQ(*r.edge_flows, own) << at; EXPECT_EQ(*r.residual, fg.residual()) << at; @@ -903,8 +907,8 @@ TEST(FlowPolicyGlobal, RandomCumulativeSolvesAreOptimalWithACertifiedCut) { // The cumulative curve, by the flow certificates' clauses: positive volumes at strictly // increasing costs, its total the cumulative amount and its moment the flow's cost, and equal // to the optimal curve at every breakpoint of either up to the total. - ASSERT_TRUE(r.cost_distribution.has_value()) << at; - const auto pts = curve_shape_clauses(*r.cost_distribution, total, cost, fails); + ASSERT_TRUE(r.marginal_cost_curve.has_value()) << at; + const auto pts = curve_shape_clauses(*r.marginal_cost_curve, total, cost, fails); curve_optimum_clause(pts, curve_pts, total, "the optimal curve", fails); for (const auto& f : fails) ADD_FAILURE() << at << ": " << f; }; @@ -916,12 +920,12 @@ TEST(FlowPolicyGlobal, RandomCumulativeSolvesAreOptimalWithACertifiedCut) { ++capped; total += x; const auto r = p.place(x, all); - EXPECT_EQ(r.placed, x) << where; + EXPECT_EQ(r.call_delivered, x) << where; EXPECT_FALSE(r.min_cut.has_value()) << where; // stopped by the cap check_own(total, r, where + " capped call " + std::to_string(call)); } const auto r = p.place(std::nullopt, all); - EXPECT_EQ(r.placed, max_flow - total) << where; + EXPECT_EQ(r.call_delivered, max_flow - total) << where; with_flow += max_flow > 0 ? 1 : 0; check_own(max_flow, r, where + " +inf"); // The cut, as the flow certificates define it (residual_closure and closure_cut, @@ -935,10 +939,10 @@ TEST(FlowPolicyGlobal, RandomCumulativeSolvesAreOptimalWithACertifiedCut) { EXPECT_EQ(cut_capacity, max_flow) << where; // The closure is seeded at the roster: the allowed sources with a walk over allowed edges // (whatever their capacity) to an allowed destination. Another source can reach no - // destination, so it needs no cut edge; contract 14.1: the cut of an empty roster is []. + // destination, so it needs no cut edge; the cut of an empty roster is []. std::vector roster; for (const NodeId src : srcs) { - if (elig != nullptr && !elig->node_ok(src)) continue; + if (elig != nullptr && !elig->allows_node(src)) continue; std::vector reach(static_cast(g->num_nodes()), 0); std::vector stack = {src}; reach[static_cast(src)] = 1; @@ -946,38 +950,38 @@ TEST(FlowPolicyGlobal, RandomCumulativeSolvesAreOptimalWithACertifiedCut) { const NodeId u = stack.back(); stack.pop_back(); for (EdgeId e = 0; e < g->num_edges(); ++e) { - const NodeId w = g->edge_dst()[static_cast(e)]; - if (g->edge_src()[static_cast(e)] != u || reach[static_cast(w)] != 0) continue; - if (elig != nullptr && !elig->edge_ok(e)) continue; + const NodeId w = g->edge_destinations()[static_cast(e)]; + if (g->edge_sources()[static_cast(e)] != u || reach[static_cast(w)] != 0) continue; + if (elig != nullptr && !elig->allows_edge(e)) continue; reach[static_cast(w)] = 1; stack.push_back(w); } } if (std::any_of(dsts.begin(), dsts.end(), [&](NodeId d) { - return (elig == nullptr || elig->node_ok(d)) && reach[static_cast(d)] != 0; + return (elig == nullptr || elig->allows_node(d)) && reach[static_cast(d)] != 0; })) { roster.push_back(src); } } - EXPECT_EQ(roster, detail::PolicyAccess::engine(p).roster) << where; + EXPECT_EQ(roster, detail::PolicyAccess::engine(p).reachable_sources) << where; const auto closure = residual_closure(*g, view, *r.edge_flows, roster, elig); for (const NodeId d : dsts) EXPECT_EQ(closure[static_cast(d)], 0) << where << " destination " << d; EXPECT_EQ(*r.min_cut, closure_cut(*g, closure, elig)) << where; // The evaluators on a fresh ledger (static capacities): the same maximum and cost. if (other.has_value()) continue; ++evaluated; - const QueryOptions co {global_config(), elig, nullptr, all}; - const auto cr = capacity(*g, srcs, dsts, co); - EXPECT_EQ(cr.placed, max_flow) << where; - ASSERT_TRUE(cr.cost_distribution.has_value()) << where; - EXPECT_EQ(*cr.cost_distribution, *r.cost_distribution) << where; + const EvaluationOptions co {global_config(), elig, nullptr, all}; + const auto cr = evaluate_demand(*g, srcs, dsts, co); + EXPECT_EQ(cr.call_delivered, max_flow) << where; + ASSERT_TRUE(cr.marginal_cost_curve.has_value()) << where; + EXPECT_EQ(*cr.marginal_cost_curve, *r.marginal_cost_curve) << where; const std::vector, std::vector>> pairs = {{srcs, dsts}, {v({0}), v({n - 1})}}; - const auto batch = batch_capacity(*g, pairs, co, {}, 1); + const auto batch = evaluate_pairs(*g, pairs, co, {}, 1); ASSERT_EQ(batch.size(), 2U) << where; for (std::size_t i = 0; i < pairs.size(); ++i) { - const auto one = capacity(*g, pairs[i].first, pairs[i].second, co); - EXPECT_EQ(batch[i].placed, one.placed) << where << " pair " << i; - EXPECT_EQ(batch[i].cost_distribution, one.cost_distribution) << where << " pair " << i; + const auto one = evaluate_demand(*g, pairs[i].first, pairs[i].second, co); + EXPECT_EQ(batch[i].call_delivered, one.call_delivered) << where << " pair " << i; + EXPECT_EQ(batch[i].marginal_cost_curve, one.marginal_cost_curve) << where << " pair " << i; EXPECT_EQ(batch[i].min_cut, one.min_cut) << where << " pair " << i; } } @@ -990,27 +994,27 @@ TEST(FlowPolicyGlobal, RandomCumulativeSolvesAreOptimalWithACertifiedCut) { EXPECT_GT(evaluated, 100); } -// CostOnly placements on random graphs (costs 1 to 9 times a factor of 1, 1,000,003 or 2^35, zero +// ShortestPaths placements on random graphs (costs 1 to 9 times a factor of 1, 1,000,003 or 2^35, zero // capacities, a node or edge mask, one or two sources and destinations, another owner's flow -// first), in the kernels and admissions CostOnly takes: after each of two capped calls and a call +// first), in the kernels and admissions ShortestPaths takes: after each of two capped calls and a call // of +inf, each of the policy's records is a flow of its own from the policy's sources to its // destinations (expect_conserved, test_utils.hpp: positive amounts in ascending EdgeId, every // transit node passing on what it receives less its drops, delivered the destinations' net inflow // and, Lossless, the sources' net outflow), carrying and dropping nothing on an edge the Eligibility -// excludes; a Lossless policy's records deliver its placed demand, and the ledger's aggregate is the -// sum of its records (expect_balanced). CostOnly chooses routes by cost, not by the minimum-cost -// flow, so no optimality certificate applies here (T1's records: T1Property, tunnels_t1_tests.cpp). +// excludes; a Lossless policy's records deliver its delivered() total, and the ledger's aggregate is the +// sum of its records (expect_balanced). ShortestPaths chooses routes by cost, not by the minimum-cost +// flow, so no optimality certificate applies here (T1's records: T1Property, distributed_te_tests.cpp). TEST(FlowPolicyRecords, RandomCostOnlyRecordsAreFlows) { - const auto res = sel(EdgeTieBreak::Deterministic, EdgePriority::Residual); + const auto res = sel(RouteTieBreak::FewerHops); const std::vector configs = { cost_only_config(), - cfg(CostOnly {}, FlowPlacement::Weighted), - cfg(CostOnly {}, FlowPlacement::MaxFlow), - // The deterministic single path (several sources reject PreferHigherPriority with it). - cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, - sel(EdgeTieBreak::Deterministic, EdgePriority::Residual, false, false)), - cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy), - cfg(CostOnly {}, FlowPlacement::Weighted, Admission::Lossy, res), + cfg(ShortestPaths {}, RouteAllocation::Weighted), + cfg(ShortestPaths {}, RouteAllocation::Optimized), + // The FEWER_HOPS single path (several sources reject a HIGHER_* tie_break with it). + cfg(ShortestPaths {}, RouteAllocation::Equal, Admission::Lossless, + sel(RouteTieBreak::FewerHops, false, false)), + cfg(ShortestPaths {}, RouteAllocation::Equal, Admission::Lossy), + cfg(ShortestPaths {}, RouteAllocation::Weighted, Admission::Lossy, res), }; std::mt19937_64 rng(20261011); auto below = [&](std::int64_t k) { return static_cast(rng() % static_cast(k)); }; @@ -1066,26 +1070,26 @@ TEST(FlowPolicyRecords, RandomCostOnlyRecordsAreFlows) { EXPECT_TRUE(std::find(dsts.begin(), dsts.end(), x) != dsts.end()) << at << " destination " << x; } const bool carries = expect_conserved(*g, r, at); - for (const auto& [e, x] : r.edges) { - EXPECT_TRUE(elig == nullptr || elig->edge_ok(e)) << at << " carries " << x << " on excluded edge " << e; + for (const auto& [e, x] : r.edge_flows) { + EXPECT_TRUE(elig == nullptr || elig->allows_edge(e)) << at << " carries " << x << " on excluded edge " << e; } - for (const auto& [e, x] : r.drops) { - EXPECT_TRUE(elig == nullptr || elig->edge_ok(e)) << at << " drops on excluded edge " << e; + for (const auto& [e, x] : r.edge_drops) { + EXPECT_TRUE(elig == nullptr || elig->allows_edge(e)) << at << " drops on excluded edge " << e; } delivered += r.delivered; if (r.delivered > 0) { from.insert(r.sources.begin(), r.sources.end()); - for (const auto& [e, x] : r.edges) { - const NodeId head = g->edge_dst()[static_cast(e)]; + for (const auto& [e, x] : r.edge_flows) { + const NodeId head = g->edge_destinations()[static_cast(e)]; if (std::find(dsts.begin(), dsts.end(), head) != dsts.end()) into.insert(head); } } carrying += carries ? 1 : 0; - dropping += r.drops.empty() ? 0 : 1; + dropping += r.edge_drops.empty() ? 0 : 1; masked += carries && elig != nullptr ? 1 : 0; scaled += carries && factor > 1 ? 1 : 0; } - if (config.admission == Admission::Lossless) EXPECT_EQ(delivered, p.placed_demand()) << where; + if (config.admission == Admission::Lossless) EXPECT_EQ(delivered, p.delivered()) << where; several += from.size() > 1 || into.size() > 1 ? 1 : 0; ASSERT_FALSE(::testing::Test::HasFailure()) << where; } @@ -1105,22 +1109,22 @@ TEST(FlowPolicyRecords, BundlesAreSharedOrPruned) { FlowPolicy p(fg, v({0}), v({3}), {.routing = pin}); (void)p.place(2); // An unchanged supplied split route is shared by the record (no copy). - EXPECT_EQ(p.records().front().bundle.get(), whole.get()); + EXPECT_EQ(p.records().front().route.get(), whole.get()); // A route pruned by the replay's mask is a new DAG of what remains. const auto el = g->eligibility({}, std::vector {2}); FlowLedger fg2(g); FlowPolicy q(fg2, v({0}), v({3}), {.routing = pin}, &el); (void)q.place(2); const auto rec = q.records().front(); - EXPECT_NE(rec.bundle.get(), whole.get()); - EXPECT_EQ(ascending_edges(*rec.bundle), (std::vector {1, 3})); - // CostOnly: a source whose route is the whole cached support shares it. - DagCache cache(*g); + EXPECT_NE(rec.route.get(), whole.get()); + EXPECT_EQ(ascending_edges(*rec.route), (std::vector {1, 3})); + // ShortestPaths: a source whose route is the whole cached support shares it. + ShortestPathCache cache(*g); FlowLedger fg3(g); FlowPolicy c(fg3, v({0}), v({3}), cost_only_config(), nullptr, &cache); (void)c.place(2); const auto support = cache.lookup(*g, v({3}), Direction::Reverse, nullptr); - EXPECT_EQ(c.records().front().bundle.get(), support.get()); + EXPECT_EQ(c.records().front().route.get(), support.get()); } // records() lists the live records in FlowId order, also when the sources' entries interleave. @@ -1132,44 +1136,44 @@ TEST(FlowPolicyRecords, RecordsAreInFlowIdOrderAcrossSources) { auto g = shared(make_graph(3, {{0, 2, 3, 1}, {0, 2, 5, 1}, {1, 2, 3, 1}, {1, 2, 5, 1}})); FlowLedger fg(g); FlowPolicy p(fg, v({0, 1}), v({2}), t1(2)); - ASSERT_EQ(p.replace(8, 8).placed, 8); + ASSERT_EQ(p.replace(8, 8).call_delivered, 8); std::vector ids; std::vector sources; std::vector entries; for (const auto& r : p.records()) { ids.push_back(r.flow_id.second); sources.push_back(r.sources.at(0)); - entries.push_back(r.entry.value_or(-1)); + entries.push_back(r.entry_id.value_or(-1)); } EXPECT_EQ(ids, (std::vector {0, 1, 2, 3})); EXPECT_EQ(sources, (std::vector {0, 1, 0, 1})); EXPECT_EQ(entries, (std::vector {0, 1, 2, 3})); } -// CostOnly routes to the nearest destinations, and one flow may deliver to several of them: edges (input order) 0 -> 1 (10 units, cost 1), 1 -> 2 (2, cost 1), 1 -> 3 (3, +// ShortestPaths routes to the nearest destinations, and one flow may deliver to several of them: edges (input order) 0 -> 1 (10 units, cost 1), 1 -> 2 (2, cost 1), 1 -> 3 (3, // cost 1) and 0 -> 3 (5, cost 5); destinations 2 and 3, both at cost 2 through node 1. The one // flow carries 2 to node 2 and 3 to node 3 (the edges entering each destination), 5 in all; the // costlier edge 0 -> 3 is no part of the route. TEST(FlowPolicyRecords, OneFlowDeliversToTheNearestDestinations) { auto g = shared(make_graph(4, {{0, 1, 10, 1}, {1, 2, 2, 1}, {1, 3, 3, 1}, {0, 3, 5, 5}})); const auto id = id_of_input(*g); - // MaxFlow fills both; Weighted's capacity weights 2 and 3 split 5 at node 1 as (2, 3). - for (const auto& [name, kernel] : std::vector> { - {"MaxFlow", FlowPlacement::MaxFlow}, {"Weighted", FlowPlacement::Weighted}}) { + // Optimized fills both; Weighted's capacity weights 2 and 3 split 5 at node 1 as (2, 3). + for (const auto& [name, kernel] : std::vector> { + {"Optimized", RouteAllocation::Optimized}, {"Weighted", RouteAllocation::Weighted}}) { FlowLedger fg(g); - FlowPolicy p(fg, v({0}), v({2, 3}), cfg(CostOnly {}, kernel)); + FlowPolicy p(fg, v({0}), v({2, 3}), cfg(ShortestPaths {}, kernel)); const auto r = p.place(std::nullopt); - EXPECT_EQ(r.placed, 5) << name; + EXPECT_EQ(r.call_delivered, 5) << name; const auto records = p.records(); ASSERT_EQ(records.size(), 1U) << name; const auto& rec = records[0]; EXPECT_EQ(rec.delivered, 5) << name; - EXPECT_EQ(rec.route_cost, 2) << name; + EXPECT_EQ(rec.min_route_cost, 2) << name; EXPECT_EQ(rec.destinations, (std::vector {2, 3})) << name; std::map into; - for (const auto& [e, x] : rec.edges) into[g->edge_dst()[static_cast(e)]] += x; + for (const auto& [e, x] : rec.edge_flows) into[g->edge_destinations()[static_cast(e)]] += x; EXPECT_EQ(into, (std::map {{1, 5}, {2, 2}, {3, 3}})) << name; - EXPECT_EQ(ascending_edges(*rec.bundle), (std::vector {id[0], id[1], id[2]})) << name; + EXPECT_EQ(ascending_edges(*rec.route), (std::vector {id[0], id[1], id[2]})) << name; } } @@ -1177,37 +1181,37 @@ TEST(PredDAGStorage, ABundleCostsItsEntriesNotTheGraph) { const std::int32_t n = 1'000'000; auto g = shared(make_graph(n, {{n - 3, n - 2, 4, 1}, {n - 2, n - 1, 4, 1}})); const auto dag = dag_of(*g, {0, 1}); - EXPECT_LT(detail::PredDAGBuilder::payload_bytes(*dag), 128U); // two entries, not N + 1 offsets + EXPECT_LT(detail::PredecessorDAGBuilder::payload_bytes(*dag), 128U); // two entries, not N + 1 offsets const auto off = dag->parent_offsets(); // the from_csr shape, on demand ASSERT_EQ(off.size(), static_cast(n) + 1); EXPECT_EQ(off[static_cast(n) - 2], 0); EXPECT_EQ(off[static_cast(n) - 1], 1); EXPECT_EQ(off[static_cast(n)], 2); - EXPECT_TRUE(PredDAG::from_csr(*g, off, dag->parents(), dag->via_edges()) == *dag); + EXPECT_TRUE(PredecessorDAG::from_csr(*g, off, dag->parents(), dag->via_edges()) == *dag); FlowLedger fg(g); FlowPolicy p(fg, v({n - 3}), v({n - 1}), {.routing = pinned_dags(*g, n - 3, n - 1, {dag})}); - EXPECT_EQ(p.place(3).placed, 3); - EXPECT_LT(detail::PredDAGBuilder::payload_bytes(*p.records().front().bundle), 128U); - // The record bundles the engine builds itself are sparse too: a supplied split route pruned by - // the replay's mask (the bypass n - 3 -> n - 1 excluded), Global's used edges on a support, and - // the CostOnly and Global routes. + EXPECT_EQ(p.place(3).call_delivered, 3); + EXPECT_LT(detail::PredecessorDAGBuilder::payload_bytes(*p.records().front().route), 128U); + // The record routes the engine builds itself are sparse too: a supplied split route pruned by + // the replay's mask (the bypass n - 3 -> n - 1 excluded), CentralizedTE's used edges on a support, and + // the ShortestPaths and CentralizedTE routes. auto h = shared(make_graph(n, {{n - 3, n - 2, 4, 1}, {n - 2, n - 1, 4, 1}, {n - 3, n - 1, 4, 5}})); const auto inv = id_of_input(*h); const auto three = dag_of(*h, {inv[0], inv[1], inv[2]}); const auto el = h->eligibility({}, std::vector {inv[2]}); const std::vector> built = { {"pruned Pinned", {.routing = pinned_dags(*h, n - 3, n - 1, {three})}}, - {"Global support", {.routing = Global {dag_of(*h, {inv[0], inv[1]})}}}, - {"CostOnly", cost_only_config()}, - {"Global", global_config()}}; + {"CentralizedTE support", {.routing = centralized(SourceAllocation::Optimized, dag_of(*h, {inv[0], inv[1]}))}}, + {"ShortestPaths", cost_only_config()}, + {"CentralizedTE", global_config()}}; for (const auto& [name, c] : built) { FlowLedger fh(h); FlowPolicy q(fh, v({n - 3}), v({n - 1}), c, std::holds_alternative(c.routing) ? &el : nullptr); - EXPECT_EQ(q.place(3).placed, 3) << name; - const auto bundle = q.records().front().bundle; - EXPECT_NE(bundle.get(), three.get()) << name; - EXPECT_EQ(ascending_edges(*bundle), (std::vector {inv[0], inv[1]})) << name; - EXPECT_LT(detail::PredDAGBuilder::payload_bytes(*bundle), 128U) << name; + EXPECT_EQ(q.place(3).call_delivered, 3) << name; + const auto route = q.records().front().route; + EXPECT_NE(route.get(), three.get()) << name; + EXPECT_EQ(ascending_edges(*route), (std::vector {inv[0], inv[1]})) << name; + EXPECT_LT(detail::PredecessorDAGBuilder::payload_bytes(*route), 128U) << name; } } @@ -1217,18 +1221,18 @@ TEST(Evaluators, CapacityIsPlaceInfOnAFreshLedger) { auto g = diamond(5, 3, 2); const Pinned pin = pinned_dags(*g, 0, 3, {dag_of(*g, {0, 2}), dag_of(*g, {1, 3})}); for (const auto& c : {global_config(), cost_only_config(), FlowPolicyConfig {.routing = pin}, - FlowPolicyConfig {.routing = Global {dag_of(*g, {0, 2})}}}) { - const auto r = capacity(*g, v({0}), v({3}), QueryOptions {c, nullptr, nullptr, OutputOptions {true, true, true}}); + FlowPolicyConfig {.routing = centralized(SourceAllocation::Optimized, dag_of(*g, {0, 2}))}}) { + const auto r = evaluate_demand(*g, v({0}), v({3}), EvaluationOptions {c, nullptr, nullptr, OutputOptions {true, true, true}}); FlowLedger fg(g); FlowPolicy p(fg, v({0}), v({3}), c); const auto want = p.place(std::nullopt, OutputOptions {true, true, true}); - EXPECT_GT(want.placed, 0); // two empty results would agree too + EXPECT_GT(want.call_delivered, 0); // two empty results would agree too expect_same(r, want, "capacity against place(+inf)"); } - // The exact maximum flow: Global's curve (cheapest walks first). - const auto exact = capacity(*g, v({0}), v({3}), QueryOptions {global_config()}); - EXPECT_EQ(exact.placed, 8); - EXPECT_EQ(*exact.cost_distribution, curve({{2, 5}, {4, 3}})); + // The exact maximum flow: CentralizedTE's curve (cheapest walks first). + const auto exact = evaluate_demand(*g, v({0}), v({3}), EvaluationOptions {global_config()}); + EXPECT_EQ(exact.call_delivered, 8); + EXPECT_EQ(*exact.marginal_cost_curve, curve({{2, 5}, {4, 3}})); } TEST(Evaluators, BatchOrderIntersectionsExceptionsAndWorkers) { @@ -1238,76 +1242,76 @@ TEST(Evaluators, BatchOrderIntersectionsExceptionsAndWorkers) { std::vector, std::vector>> pairs = { {{0}, {3}}, {{0}, {3}}, {{1}, {3}}, {{0}, {1, 2}}}; const std::vector per = {nullptr, &first_route, nullptr, nullptr}; - const QueryOptions opts {global_config(), &common, nullptr, OutputOptions {true, true, true, true}}; - const auto r1 = batch_capacity(*g, pairs, opts, per, 1); + const EvaluationOptions opts {global_config(), &common, nullptr, OutputOptions {true, true, true, true}}; + const auto r1 = evaluate_pairs(*g, pairs, opts, per, 1); ASSERT_EQ(r1.size(), 4U); - EXPECT_EQ(r1[0].placed, 5); // common only: route 1 - EXPECT_EQ(r1[1].placed, 0); // common and the pair's: both routes cut - EXPECT_EQ(r1[2].placed, 5); - EXPECT_EQ(r1[3].placed, 8); // destination set {1, 2}: both first edges (edge 3 excluded is past 2) - EXPECT_EQ(*r1[3].cost_distribution, curve({{1, 8}})); + EXPECT_EQ(r1[0].call_delivered, 5); // common only: route 1 + EXPECT_EQ(r1[1].call_delivered, 0); // common and the pair's: both routes cut + EXPECT_EQ(r1[2].call_delivered, 5); + EXPECT_EQ(r1[3].call_delivered, 8); // destination set {1, 2}: both first edges (edge 3 excluded is past 2) + EXPECT_EQ(*r1[3].marginal_cost_curve, curve({{1, 8}})); EXPECT_EQ(*r1[3].min_cut, (std::vector {0, 1})); // Every field of every result is the same for any worker count. for (std::int32_t w : {2, 3, 8}) { - const auto rw = batch_capacity(*g, pairs, opts, per, w); + const auto rw = evaluate_pairs(*g, pairs, opts, per, w); ASSERT_EQ(rw.size(), 4U); for (std::size_t i = 0; i < 4; ++i) { expect_same(rw[i], r1[i], "workers " + std::to_string(w) + " pair " + std::to_string(i)); } } - EXPECT_TRUE(batch_capacity(*g, {}, opts, {}, 4).empty()); + EXPECT_TRUE(evaluate_pairs(*g, {}, opts, {}, 4).empty()); // Validation before any worker: endpoints, lengths, foreign values, Pinned, workers, the // building cache's one writer. auto bad = pairs; bad[2].second = {9}; - EXPECT_THROW((void)batch_capacity(*g, bad, opts, per, 4), std::invalid_argument); + EXPECT_THROW((void)evaluate_pairs(*g, bad, opts, per, 4), std::invalid_argument); bad = pairs; bad[1].first = {3}; - EXPECT_TRUE(contains(error_of([&] { (void)batch_capacity(*g, bad, opts, per, 4); }), "both endpoint sets")); - EXPECT_THROW((void)batch_capacity(*g, pairs, opts, std::vector {nullptr}, 1), std::invalid_argument); + EXPECT_TRUE(contains(error_of([&] { (void)evaluate_pairs(*g, bad, opts, per, 4); }), "both endpoint sets")); + EXPECT_THROW((void)evaluate_pairs(*g, pairs, opts, std::vector {nullptr}, 1), std::invalid_argument); auto other = diamond(5, 3); const auto foreign = other->eligibility({}, std::vector {0}); const std::vector per_foreign = {nullptr, &foreign, nullptr, nullptr}; - EXPECT_TRUE(contains(error_of([&] { (void)batch_capacity(*g, pairs, opts, per_foreign, 1); }), "foreign")); + EXPECT_TRUE(contains(error_of([&] { (void)evaluate_pairs(*g, pairs, opts, per_foreign, 1); }), "foreign")); const Pinned pin = pinned_dags(*g, 0, 3, {dag_of(*g, {0, 2})}); - EXPECT_EQ(error_of([&] { (void)batch_capacity(*g, pairs, QueryOptions {{.routing = pin}}, {}, 1); }), - "batch_capacity does not accept Pinned"); - EXPECT_TRUE(contains(error_of([&] { (void)batch_capacity(*g, pairs, opts, per, 0); }), "workers")); - DagCache cache(*g); - const QueryOptions with_cache {cost_only_config(), nullptr, &cache}; - EXPECT_TRUE(contains(error_of([&] { (void)batch_capacity(*g, pairs, with_cache, {}, 2); }), "workers == 1")); - const auto cached = batch_capacity(*g, pairs, with_cache, {}, 1); + EXPECT_EQ(error_of([&] { (void)evaluate_pairs(*g, pairs, EvaluationOptions {{.routing = pin}}, {}, 1); }), + "evaluate_pairs does not accept Pinned"); + EXPECT_TRUE(contains(error_of([&] { (void)evaluate_pairs(*g, pairs, opts, per, 0); }), "workers")); + ShortestPathCache cache(*g); + const EvaluationOptions with_cache {cost_only_config(), nullptr, &cache}; + EXPECT_TRUE(contains(error_of([&] { (void)evaluate_pairs(*g, pairs, with_cache, {}, 2); }), "workers == 1")); + const auto cached = evaluate_pairs(*g, pairs, with_cache, {}, 1); EXPECT_EQ(cache.stats().misses, 2); // destination sets {3} and {1, 2} EXPECT_EQ(cache.stats().hits, 2); - EXPECT_EQ(cached[0].placed, 7); // CostOnly EB over routes of 5 and 3: [4, 3] (odd unit to the lower id) + EXPECT_EQ(cached[0].call_delivered, 7); // ShortestPaths EB over routes of 5 and 3: [4, 3] (odd unit to the lower id) // The argument checks in their documented order, all before the pairs: with every defect // present the first is reported, and with that one removed the next. Pinned also carries a - // configuration error (a placement); pair 2 has a destination out of range. The building cache + // configuration error (an admission outside its enumeration); pair 2 has a destination out of range. The building cache // is untouched: no lookup ran. - DagCache foreign_cache(*other); - DagCache building(*g); - const FlowPolicyConfig pinned_bad {.routing = pin, .placement = FlowPlacement::MaxFlow}; - const FlowPolicyConfig config_bad = cfg(CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossy); + ShortestPathCache foreign_cache(*other); + ShortestPathCache building(*g); + const FlowPolicyConfig pinned_bad {.routing = pin, .admission = static_cast(97)}; + const FlowPolicyConfig config_bad = cfg(ShortestPaths {}, RouteAllocation::Optimized, Admission::Lossy); bad = pairs; bad[2].second = {9}; const std::vector short_per = {nullptr}; - auto first_error = [&](const FlowPolicyConfig& c, const Eligibility* elig, DagCache* with, + auto first_error = [&](const FlowPolicyConfig& c, const Eligibility* elig, ShortestPathCache* with, const std::vector& per_pair, std::int32_t workers) { - return error_of([&] { (void)batch_capacity(*g, bad, QueryOptions {c, elig, with}, per_pair, workers); }); + return error_of([&] { (void)evaluate_pairs(*g, bad, EvaluationOptions {c, elig, with}, per_pair, workers); }); }; EXPECT_EQ(first_error(pinned_bad, &foreign, &foreign_cache, short_per, 0), "workers must be >= 1 (got 0)"); EXPECT_EQ(first_error(pinned_bad, &foreign, &foreign_cache, short_per, 2), "foreign Eligibility: built for another graph"); - EXPECT_EQ(first_error(pinned_bad, nullptr, &foreign_cache, short_per, 2), "foreign DagCache: bound to another graph"); + EXPECT_EQ(first_error(pinned_bad, nullptr, &foreign_cache, short_per, 2), "foreign ShortestPathCache: bound to another graph"); EXPECT_EQ(first_error(pinned_bad, nullptr, &building, short_per, 2), - "a supplied building DagCache has one writer: it is rejected unless workers == 1 (got workers = 2; a " + "a supplied building ShortestPathCache has one writer: it is rejected unless workers == 1 (got workers = 2; a " "frozen cache may be shared by every worker)"); - EXPECT_EQ(first_error(pinned_bad, nullptr, &building, short_per, 1), "batch_capacity does not accept Pinned"); - EXPECT_EQ(first_error(config_bad, nullptr, &building, short_per, 1), kLossyKernelError); - EXPECT_EQ(first_error(global_config(), nullptr, &building, short_per, 1), "Global does not use DagCache"); - EXPECT_EQ(first_error(cost_only_config(), nullptr, &building, short_per, 1), "per_pair_elig has 1 entries for 4 pairs"); + EXPECT_EQ(first_error(pinned_bad, nullptr, &building, short_per, 1), "evaluate_pairs does not accept Pinned"); + EXPECT_EQ(first_error(config_bad, nullptr, &building, short_per, 1), "ShortestPaths OPTIMIZED requires admission=LOSSLESS"); + EXPECT_EQ(first_error(global_config(), nullptr, &building, short_per, 1), "CentralizedTE does not use ShortestPathCache"); + EXPECT_EQ(first_error(cost_only_config(), nullptr, &building, short_per, 1), "per_pair_eligibility has 1 entries for 4 pairs"); EXPECT_EQ(first_error(cost_only_config(), nullptr, &building, per, 1), "destinations: node 9 out of node range [0, 4)"); - EXPECT_EQ(stats_of(building.stats()), stats_of(DagCache(*g).stats())); + EXPECT_EQ(stats_of(building.stats()), stats_of(ShortestPathCache(*g).stats())); } TEST(Evaluators, BatchValidatesInPairOrderBeforeAnyWorker) { @@ -1315,7 +1319,7 @@ TEST(Evaluators, BatchValidatesInPairOrderBeforeAnyWorker) { auto g = diamond(5, 3); std::vector, std::vector>> pairs = { {{0}, {3}}, {{0}, {7}}, {{0}, {3}}, {{0}, {8}}}; - const auto msg = error_of([&] { (void)batch_capacity(*g, pairs, QueryOptions {global_config()}, {}, 4); }); + const auto msg = error_of([&] { (void)evaluate_pairs(*g, pairs, EvaluationOptions {global_config()}, {}, 4); }); EXPECT_TRUE(contains(msg, "node 7")) << msg; // Within one pair: the sources, then the destinations, then their overlap, then the pair's // Eligibility's graph. @@ -1324,52 +1328,58 @@ TEST(Evaluators, BatchValidatesInPairOrderBeforeAnyWorker) { const std::vector per = {&foreign}; const auto pair_error = [&](std::vector s, std::vector d) { const std::vector, std::vector>> one = {{s, d}}; - return error_of([&] { (void)batch_capacity(*g, one, QueryOptions {global_config()}, per, 1); }); + return error_of([&] { (void)evaluate_pairs(*g, one, EvaluationOptions {global_config()}, per, 1); }); }; EXPECT_EQ(pair_error({}, {9}), "sources: the node set is empty"); EXPECT_EQ(pair_error({0, 3}, {3, 9}), "destinations: node 9 out of node range [0, 4)"); EXPECT_EQ(pair_error({0, 3}, {3}), "node 3 is in both endpoint sets: sources and destinations must not overlap"); - EXPECT_EQ(pair_error({0}, {3}), "foreign Eligibility: per_pair_elig[0] built for another graph"); + EXPECT_EQ(pair_error({0}, {3}), "foreign Eligibility: per_pair_eligibility[0] built for another graph"); } -// The sensitivity shortcuts (optimized Global from the baseline's maximum flow, CostOnly without a +// The failure study's shortcuts (optimized CentralizedTE from the baseline's maximum flow, ShortestPaths without a // re-evaluation of the edges outside the static shortest-path support reachable from the sources) -// and the plain re-evaluations (equal Global, T1, Pinned) give the losses of the +// and the plain re-evaluations (equal CentralizedTE, T1, Pinned) give the losses of the // definition, the -// baseline's placed amount minus capacity() with the edge excluded, on random graphs with parallel +// baseline's call_delivered minus evaluate_demand() with the edge excluded, on random graphs with parallel // edges, self-loops, dispersed costs, zero capacities, endpoint sets and eligibility masks; every -// CostOnly kernel with every tie break, multipath and multi_edge setting under the Capacity -// priority (the pooled single-path rule skips PreferHigherPriority single paths with two sources), -// both admissions, one Residual single-path selection (no Headroom) and the equal origin of -// MaxFlow; Global under both origins (equal: a deletion that removes a source from the roster can -// raise the total, a negative loss); two T1 configurations with the design 6 (PreferHigherPriority -// on Residual without parallel links, and three tunnels under a Stretch ceiling: setup redone under +// ShortestPaths kernel under FEWER_HOPS and HIGHER_CAPACITY with every multipath and parallel_edges +// setting the tie rule allows (the pooled single-path rule skips HIGHER_* single paths with two +// sources), both admissions, one HIGHER_AVAILABLE_CAPACITY single path (no HIGHER_HEADROOM) and the +// equal source allocation of Optimized; CentralizedTE under both source allocations (equal: a deletion that removes a +// source from the roster can raise the total, a negative loss); two T1 configurations with the +// design 6 (HIGHER_AVAILABLE_CAPACITY without parallel links, and three tunnels under a CostStretch ceiling: setup redone under // every deletion); and Pinned -// with two bundles (the static support toward the destination and the second shortest path) on +// with two route DAGs (the static support toward the destination and the second shortest path) on // single endpoints. An edge without an entry has loss 0 by the same definition. TEST(Evaluators, SensitivityEqualsTheDefinitionOnRandomGraphs) { std::mt19937 rng(20261005); auto pick = [&](int n) { return static_cast(rng() % static_cast(n)); }; - std::vector configs = {global_config(), {.routing = Global {}, .origin = Origin::Equal}}; - for (auto k : {FlowPlacement::MaxFlow, FlowPlacement::EqualBalanced, FlowPlacement::Weighted}) { + std::vector configs = {global_config(), {.routing = centralized(SourceAllocation::Equal)}}; + for (auto k : {RouteAllocation::Optimized, RouteAllocation::Equal, RouteAllocation::Weighted}) { for (bool multipath : {true, false}) { - for (bool multi_edge : {true, false}) { - for (auto t : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { - configs.push_back(cfg(CostOnly {}, k, Admission::Lossless, sel(t, EdgePriority::Capacity, multipath, multi_edge))); + for (bool parallel_edges : {true, false}) { + for (auto t : {RouteTieBreak::FewerHops, RouteTieBreak::HigherCapacity}) { + if (t != RouteTieBreak::FewerHops && multipath && parallel_edges) continue; // the ineffective tie rule + configs.push_back(cfg(ShortestPaths {}, k, Admission::Lossless, sel(t, multipath, parallel_edges))); } } } } - configs.push_back(cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy)); - configs.push_back(cfg(CostOnly {}, FlowPlacement::Weighted, Admission::Lossy, sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, false))); - configs.push_back({CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossless, sel(), Origin::Equal}); - configs.push_back({.routing = CapacityAware {Tunnels {2}}, - .selection = sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, false)}); - configs.push_back({.routing = CapacityAware {Tunnels {3}, Stretch {2.0}}}); - // T1 names its design (12.1); the other models take none. + configs.push_back(cfg(ShortestPaths {}, RouteAllocation::Equal, Admission::Lossy)); + configs.push_back(cfg(ShortestPaths {}, RouteAllocation::Weighted, Admission::Lossy, sel(RouteTieBreak::HigherAvailableCapacity, false, false))); + { + ShortestPaths equal_controller = shortest_paths(RouteAllocation::Optimized); + equal_controller.source_allocation = SourceAllocation::Equal; + configs.push_back({.routing = equal_controller}); + } + configs.push_back({.routing = DistributedTE {.tunnel_count = TunnelCount {2}, + .tie_break = RouteTieBreak::HigherAvailableCapacity, + .parallel_edges = false}}); + configs.push_back({.routing = DistributedTE {TunnelCount {3}, CostStretch(2)}}); + // T1 names its design; the other models take none. const auto query = [](const FlowPolicyConfig& c, const Eligibility* e, OutputOptions o = {}) { - QueryOptions q {c, e, nullptr, o}; - if (std::holds_alternative(c.routing)) q.design_demand = Amount {6}; + EvaluationOptions q {c, e, nullptr, o}; + if (std::holds_alternative(c.routing)) q.design_demand = Amount {6}; return q; }; int entries = 0; @@ -1380,7 +1390,7 @@ TEST(Evaluators, SensitivityEqualsTheDefinitionOnRandomGraphs) { int pinned_losses = 0; int pinned_trials = 0; int zero_edge_losses = 0; // entries of zero-capacity edges whose deletion changes the result - int negative = 0; // equal-origin deletions that raise the total + int negative = 0; // equal-source-allocation deletions that raise the total int absent = 0; for (int trial = 0; trial < 60; ++trial) { const int n = 4 + pick(7); @@ -1402,42 +1412,43 @@ TEST(Evaluators, SensitivityEqualsTheDefinitionOnRandomGraphs) { // Pinned on the single endpoints 0 and n - 1, when 0 reaches n - 1 statically. auto trial_configs = configs; const NodeId t0 = n - 1; - const auto support = std::make_shared( + const auto support = std::make_shared( detail::static_support(*g, std::vector {t0}, Direction::Reverse, nullptr)); - const auto paths = ksp(*g, 0, t0, KspOptions(2, sel())); + const auto paths = ksp(*g, 0, t0, KspOptions(2)); if (paths.size() == 2) { trial_configs.push_back({.routing = pinned_dags(*g, 0, t0, - {support, std::make_shared(paths[1].second.to_dag())}, - FlowPlacement::Weighted)}); + {support, std::make_shared(paths[1].second.to_dag())}, + RouteAllocation::Weighted)}); ++pinned_trials; } for (const auto& c : trial_configs) { - const bool cost_only = std::holds_alternative(c.routing); - if (cost_only && s.size() > 1 && c.selection->single_path() && - c.selection->tie_break == EdgeTieBreak::PreferHigherPriority) { + const bool cost_only = std::holds_alternative(c.routing); + if (cost_only && s.size() > 1 && !std::get(c.routing).multipath && + std::get(c.routing).tie_break != RouteTieBreak::FewerHops) { continue; // the pooled single-path rule } - const bool global = std::holds_alternative(c.routing) && c.origin != Origin::Equal; + const bool global = std::holds_alternative(c.routing) && + std::get(c.routing).source_allocation != SourceAllocation::Equal; const bool pinned = std::holds_alternative(c.routing); const std::vector cs = pinned ? std::vector {0} : s; const std::vector ct = pinned ? std::vector {t0} : t; - const auto r = sensitivity(*g, cs, ct, query(c, elig), 1 + pick(3)); - // The baseline is capacity() itself, and the entries are the candidates in ascending order: - // Global, the baseline's positive-flow edges; every other model, every allowed edge, + const auto r = evaluate_edge_failures(*g, cs, ct, query(c, elig), 1 + pick(3)); + // The baseline is evaluate_demand() itself, and the entries are the candidates in ascending order: + // CentralizedTE, the baseline's positive-flow edges; every other model, every allowed edge, // whatever its capacity. - const auto base = capacity(*g, cs, ct, query(c, elig, OutputOptions {true, false, false})); - ASSERT_EQ(r.baseline.placed, base.placed) << "trial " << trial; + const auto base = evaluate_demand(*g, cs, ct, query(c, elig, OutputOptions {true, false, false})); + ASSERT_EQ(r.baseline.call_delivered, base.call_delivered) << "trial " << trial; std::vector candidates; for (EdgeId e = 0; e < g->num_edges(); ++e) { const auto ei = static_cast(e); - if (global ? (*base.edge_flows)[ei] > 0 : elig == nullptr || elig->edge_ok(e)) { + if (global ? (*base.edge_flows)[ei] > 0 : elig == nullptr || elig->allows_edge(e)) { candidates.push_back(e); } } - const bool equal_global = std::holds_alternative(c.routing) && !global; - const std::string model = global ? " Global" - : equal_global ? " Global equal" - : cost_only ? " CostOnly" + const bool equal_global = std::holds_alternative(c.routing) && !global; + const std::string model = global ? " CentralizedTE" + : equal_global ? " CentralizedTE equal" + : cost_only ? " ShortestPaths" : pinned ? " Pinned" : " T1"; std::vector listed; @@ -1448,15 +1459,15 @@ TEST(Evaluators, SensitivityEqualsTheDefinitionOnRandomGraphs) { const EdgeId one[1] = {e}; auto deleted = g->eligibility({}, one); if (elig != nullptr) deleted = Eligibility::intersect(*elig, deleted); - return base.placed - capacity(*g, cs, ct, query(c, &deleted)).placed; + return base.call_delivered - evaluate_demand(*g, cs, ct, query(c, &deleted)).call_delivered; }; for (const auto& e : r.entries) { const Amount want = loss(e.edge); - ASSERT_EQ(e.loss, want) << "trial " << trial << " edge " << e.edge << model; + ASSERT_EQ(e.delivery_reduction, want) << "trial " << trial << " edge " << e.edge << model; ++entries; if (want != 0) ++(global ? global_losses : cost_only ? policy_losses : pinned ? pinned_losses : aware_losses); if (cost_only && want == 0) ++policy_zero; - if (g->capacity_units()[static_cast(e.edge)] == 0 && want != 0) ++zero_edge_losses; + if (g->edge_capacity_units()[static_cast(e.edge)] == 0 && want != 0) ++zero_edge_losses; if (want < 0) ++negative; } for (EdgeId e = 0; e < g->num_edges(); ++e) { @@ -1466,7 +1477,7 @@ TEST(Evaluators, SensitivityEqualsTheDefinitionOnRandomGraphs) { } } } - // Not vacuous: many entries, losses under every model, zero-loss CostOnly deletions, Pinned + // Not vacuous: many entries, losses under every model, zero-loss ShortestPaths deletions, Pinned // trials, deletions of zero-capacity edges that change the result, and edges without an entry. EXPECT_GT(entries, 3000); EXPECT_GT(global_losses, 100); @@ -1481,172 +1492,172 @@ TEST(Evaluators, SensitivityEqualsTheDefinitionOnRandomGraphs) { } TEST(Evaluators, SensitivityCandidatesAndSignedLosses) { - // Global: candidates are the baseline's positive-flow edges; an unsaturated critical edge + // CentralizedTE: candidates are the baseline's positive-flow edges; an unsaturated critical edge // appears: 0 -> 1 of capacity 9 carries 4 (its tail 1 -> 2 holds 4) and its deletion // loses 4; a candidate set of saturated edges only would miss it. auto g = shared(make_graph(3, {{0, 1, 9, 1}, {1, 2, 4, 1}, {0, 2, 2, 5}})); - auto s = sensitivity(*g, v({0}), v({2}), QueryOptions {global_config()}, 1); - EXPECT_EQ(s.baseline.placed, 6); + auto s = evaluate_edge_failures(*g, v({0}), v({2}), EvaluationOptions {global_config()}, 1); + EXPECT_EQ(s.baseline.call_delivered, 6); EXPECT_FALSE(s.baseline.edge_flows.has_value()); // requested internally, not returned std::map losses; - for (const auto& e : s.entries) losses[e.edge] = e.loss; + for (const auto& e : s.entries) losses[e.edge] = e.delivery_reduction; const auto inv = id_of_input(*g); EXPECT_EQ(losses.at(inv[0]), 4); // unsaturated (4 of 9) and critical EXPECT_EQ(losses.at(inv[1]), 4); EXPECT_EQ(losses.at(inv[2]), 2); EXPECT_EQ(losses.size(), 3U); - // A policy model: every allowed edge, whatever its capacity. EqualBalanced over parallel + // A policy model: every allowed edge, whatever its capacity. Equal over parallel // links of 1, 10 and 0 (ids 0, 1, 2): round robin over the three members fits 2 units and the // third would cross the zero link. Without the thin link (members 1, 2): 1, loss 1; without the // wide link (0, 2): 1, loss 1; without the zero link (0, 1): 2, loss 0. auto p = shared(make_graph(2, {{0, 1, 1, 1}, {0, 1, 10, 1}, {0, 1, 0, 1}})); - const auto opts = QueryOptions {cost_only_config()}; - s = sensitivity(*p, v({0}), v({1}), opts, 1); - EXPECT_EQ(s.baseline.placed, 2); + const auto opts = EvaluationOptions {cost_only_config()}; + s = evaluate_edge_failures(*p, v({0}), v({1}), opts, 1); + EXPECT_EQ(s.baseline.call_delivered, 2); // The exact (edge, loss) list in ascending EdgeId. const auto pin = id_of_input(*p); std::vector> got; - for (const auto& e : s.entries) got.emplace_back(e.edge, e.loss); + for (const auto& e : s.entries) got.emplace_back(e.edge, e.delivery_reduction); std::vector> want = {{pin[0], 1}, {pin[1], 1}, {pin[2], 0}}; std::sort(want.begin(), want.end()); EXPECT_EQ(got, want); // Workers give the same entries; an excluded edge is no candidate. - const auto s4 = sensitivity(*p, v({0}), v({1}), opts, 4); + const auto s4 = evaluate_edge_failures(*p, v({0}), v({1}), opts, 4); std::vector> got4; - for (const auto& e : s4.entries) got4.emplace_back(e.edge, e.loss); + for (const auto& e : s4.entries) got4.emplace_back(e.edge, e.delivery_reduction); EXPECT_EQ(got4, want); const auto el = p->eligibility({}, std::vector {pin[0]}); - const auto se = sensitivity(*p, v({0}), v({1}), QueryOptions {opts.config, &el}, 1); + const auto se = evaluate_edge_failures(*p, v({0}), v({1}), EvaluationOptions {opts.config, &el}, 1); ASSERT_EQ(se.entries.size(), 2U); EXPECT_EQ(se.entries[0].edge, std::min(pin[1], pin[2])); EXPECT_EQ(se.entries[1].edge, std::max(pin[1], pin[2])); // A loss can be negative, also for a zero-capacity link (the search graph S: ids 0: 0 -> 1 of // capacity 0, 1: 0 -> 2, 2: 2 -> 1 of 5, costs 1): the only shortest route crosses the zero - // link, so EqualBalanced carries 0; without it the route 0 -> 2 -> 1 carries 5, a loss of -5. + // link, so Equal carries 0; without it the route 0 -> 2 -> 1 carries 5, a loss of -5. // The other two edges lie outside the reachable support (loss 0 without a placement). auto g8 = shared(make_graph(3, {{0, 1, 0, 1}, {0, 2, 5, 1}, {2, 1, 5, 1}})); - const auto s8 = sensitivity(*g8, v({0}), v({1}), opts, 1); - EXPECT_EQ(s8.baseline.placed, 0); + const auto s8 = evaluate_edge_failures(*g8, v({0}), v({1}), opts, 1); + EXPECT_EQ(s8.baseline.call_delivered, 0); std::vector> got8; - for (const auto& e : s8.entries) got8.emplace_back(e.edge, e.loss); + for (const auto& e : s8.entries) got8.emplace_back(e.edge, e.delivery_reduction); EXPECT_EQ(got8, (std::vector> {{0, -5}, {1, 0}, {2, 0}})); // Invalid inputs propagate (before any worker). - EXPECT_THROW((void)sensitivity(*p, v({0}), v({0}), opts, 1), std::invalid_argument); - DagCache cache(*p); - EXPECT_THROW((void)sensitivity(*p, v({0}), v({1}), QueryOptions {opts.config, nullptr, &cache}, 2), + EXPECT_THROW((void)evaluate_edge_failures(*p, v({0}), v({0}), opts, 1), std::invalid_argument); + ShortestPathCache cache(*p); + EXPECT_THROW((void)evaluate_edge_failures(*p, v({0}), v({1}), EvaluationOptions {opts.config, nullptr, &cache}, 2), std::invalid_argument); - EXPECT_EQ(sensitivity(*p, v({0}), v({1}), QueryOptions {opts.config, nullptr, &cache}, 1).entries.size(), 3U); + EXPECT_EQ(evaluate_edge_failures(*p, v({0}), v({1}), EvaluationOptions {opts.config, nullptr, &cache}, 1).entries.size(), 3U); } -// The baseline is capacity() with the requested outputs, in every routing model (T1 with its +// The baseline is evaluate_demand() with the requested outputs, in every routing model (T1 with its // design); without a request it carries none. TEST(Evaluators, SensitivityBaselineIsCapacityWithTheRequestedOutputs) { auto g = diamond(5, 3, 2); const Pinned pin = pinned_dags(*g, 0, 3, {dag_of(*g, {0, 2}), dag_of(*g, {1, 3})}); - const OutputOptions all {.edge_flows = true, .residual = true, .bottleneck = true, .reservation_edge_flows = true}; + const OutputOptions all {.edge_flows = true, .residual = true, .saturated_boundary_edges = true, .edge_reservations = true}; for (const auto& c : {global_config(), cost_only_config(), t1(2), FlowPolicyConfig {.routing = pin}, - FlowPolicyConfig {.routing = Global {dag_of(*g, {0, 2})}}}) { - const auto with = [&](QueryOptions q) { - if (std::holds_alternative(c.routing)) q.design_demand = Amount {6}; + FlowPolicyConfig {.routing = centralized(SourceAllocation::Optimized, dag_of(*g, {0, 2}))}}) { + const auto with = [&](EvaluationOptions q) { + if (std::holds_alternative(c.routing)) q.design_demand = Amount {6}; return q; }; - const auto s = sensitivity(*g, v({0}), v({3}), with({c, nullptr, nullptr, all}), 1); - const auto want = capacity(*g, v({0}), v({3}), with({c, nullptr, nullptr, all})); - EXPECT_GT(want.placed, 0); - ASSERT_TRUE(want.edge_flows.has_value() && want.residual.has_value() && want.bottleneck.has_value() && - want.reservation_edge_flows.has_value()); + const auto s = evaluate_edge_failures(*g, v({0}), v({3}), with({c, nullptr, nullptr, all}), 1); + const auto want = evaluate_demand(*g, v({0}), v({3}), with({c, nullptr, nullptr, all})); + EXPECT_GT(want.call_delivered, 0); + ASSERT_TRUE(want.edge_flows.has_value() && want.residual.has_value() && want.saturated_boundary_edges.has_value() && + want.edge_reservations.has_value()); expect_same(s.baseline, want, "sensitivity baseline with every output"); - const auto plain = sensitivity(*g, v({0}), v({3}), with({c}), 1); - expect_same(plain.baseline, capacity(*g, v({0}), v({3}), with({c})), "sensitivity baseline, no output"); + const auto plain = evaluate_edge_failures(*g, v({0}), v({3}), with({c}), 1); + expect_same(plain.baseline, evaluate_demand(*g, v({0}), v({3}), with({c})), "sensitivity baseline, no output"); } } -// CostOnly re-evaluates a deletion exactly when the edge lies in the static shortest-path support +// ShortestPaths re-evaluates a deletion exactly when the edge lies in the static shortest-path support // (every edge on a shortest path to the destinations) reachable from a roster source; every other // candidate gets loss 0 without a placement. A supplied building cache shows which deletions were // placed: each placed deletion looks up its own fresh Eligibility uid (one miss and one entry), // after the baseline's one. Edges 0->2, 1->2, 2->3, 2->4, 3->5, 4->5 of 10 units at cost 1: all six -// form the support toward 5. From source 0 the MaxFlow controller sends 10 over 0->2->3->5 (the +// form the support toward 5. From source 0 the Optimized controller sends 10 over 0->2->3->5 (the // lowest EdgeIds first), but 2->4 and 4->5, carrying nothing, are in its reachable support and are // re-evaluated (loss 0); 1->2 is not and is skipped. From sources 0 and 1 (pooled, 20) the second // source reaches 1->2 too, and every deletion loses 10. TEST(Evaluators, CostOnlySensitivityReevaluatesExactlyTheReachableSupport) { auto g = shared(make_graph(6, {{0, 2, 10, 1}, {1, 2, 10, 1}, {2, 3, 10, 1}, {2, 4, 10, 1}, {3, 5, 10, 1}, {4, 5, 10, 1}})); const auto in = id_of_input(*g); - const auto c = cfg(CostOnly {}, FlowPlacement::MaxFlow); + const auto c = cfg(ShortestPaths {}, RouteAllocation::Optimized); const auto losses_of = [&](const SensitivityResult& r) { std::map out; // by input position for (const auto& e : r.entries) { - out[static_cast(std::find(in.begin(), in.end(), e.edge) - in.begin())] = e.loss; + out[static_cast(std::find(in.begin(), in.end(), e.edge) - in.begin())] = e.delivery_reduction; } return out; }; - DagCache one(*g); - const auto r1 = sensitivity(*g, v({0}), v({5}), QueryOptions {c, nullptr, &one}, 1); - EXPECT_EQ(r1.baseline.placed, 10); + ShortestPathCache one(*g); + const auto r1 = evaluate_edge_failures(*g, v({0}), v({5}), EvaluationOptions {c, nullptr, &one}, 1); + EXPECT_EQ(r1.baseline.call_delivered, 10); EXPECT_EQ(losses_of(r1), (std::map {{0, 10}, {1, 0}, {2, 0}, {3, 0}, {4, 0}, {5, 0}})); EXPECT_EQ(one.stats().hits, 0); EXPECT_EQ(one.stats().misses, 1 + 5); // the baseline, then every candidate but 1->2 EXPECT_EQ(one.stats().entries, 1 + 5); - DagCache two(*g); - const auto r2 = sensitivity(*g, v({0, 1}), v({5}), QueryOptions {c, nullptr, &two}, 1); - EXPECT_EQ(r2.baseline.placed, 20); + ShortestPathCache two(*g); + const auto r2 = evaluate_edge_failures(*g, v({0, 1}), v({5}), EvaluationOptions {c, nullptr, &two}, 1); + EXPECT_EQ(r2.baseline.call_delivered, 20); EXPECT_EQ(losses_of(r2), (std::map {{0, 10}, {1, 10}, {2, 10}, {3, 10}, {4, 10}, {5, 10}})); EXPECT_EQ(two.stats().misses, 1 + 6); // every candidate EXPECT_EQ(two.stats().entries, 1 + 6); } -// sensitivity's worker and cache rules are batch_capacity's, checked in its order before any work: +// evaluate_edge_failures's worker and cache rules are evaluate_pairs's, checked in its order before any work: // workers >= 1, the Eligibility's graph, the cache's graph, a supplied building cache only with -// one worker; a frozen cache is shared by every worker. A model that reads no cache (Global) +// one worker; a frozen cache is shared by every worker. A model that reads no cache (CentralizedTE) // rejects one, frozen or not, after those checks. TEST(Evaluators, SensitivityChecksWorkersAndCachesAsTheBatchDoes) { auto g = diamond(5, 3); auto other = diamond(5, 3); const auto foreign = other->eligibility({}, std::vector {0}); - DagCache foreign_cache(*other); - DagCache building(*g); - const auto first_error = [&](const Eligibility* elig, DagCache* cache, std::int32_t workers) { - return error_of([&] { (void)sensitivity(*g, v({0}), v({3}), QueryOptions {cost_only_config(), elig, cache}, workers); }); + ShortestPathCache foreign_cache(*other); + ShortestPathCache building(*g); + const auto first_error = [&](const Eligibility* elig, ShortestPathCache* cache, std::int32_t workers) { + return error_of([&] { (void)evaluate_edge_failures(*g, v({0}), v({3}), EvaluationOptions {cost_only_config(), elig, cache}, workers); }); }; EXPECT_EQ(first_error(&foreign, &foreign_cache, 0), "workers must be >= 1 (got 0)"); EXPECT_EQ(first_error(&foreign, &foreign_cache, 2), "foreign Eligibility: built for another graph"); - EXPECT_EQ(first_error(nullptr, &foreign_cache, 2), "foreign DagCache: bound to another graph"); + EXPECT_EQ(first_error(nullptr, &foreign_cache, 2), "foreign ShortestPathCache: bound to another graph"); EXPECT_EQ(first_error(nullptr, &building, 2), - "a supplied building DagCache has one writer: it is rejected unless workers == 1 (got workers = 2; a " + "a supplied building ShortestPathCache has one writer: it is rejected unless workers == 1 (got workers = 2; a " "frozen cache may be shared by every worker)"); - EXPECT_EQ(stats_of(building.stats()), stats_of(DagCache(*g).stats())); // no lookup ran + EXPECT_EQ(stats_of(building.stats()), stats_of(ShortestPathCache(*g).stats())); // no lookup ran building.freeze(); for (const std::int32_t workers : {1, 2, 4}) { EXPECT_EQ(error_of([&] { - (void)sensitivity(*g, v({0}), v({3}), QueryOptions {global_config(), nullptr, &building}, workers); + (void)evaluate_edge_failures(*g, v({0}), v({3}), EvaluationOptions {global_config(), nullptr, &building}, workers); }), - "Global does not use DagCache"); + "CentralizedTE does not use ShortestPathCache"); } - EXPECT_EQ(stats_of(building.stats()), stats_of(DagCache(*g).stats())); + EXPECT_EQ(stats_of(building.stats()), stats_of(ShortestPathCache(*g).stats())); } -// Only CostOnly reads the cache: Global, T1 and Pinned reject one (frozen too) before -// any lookup and count nothing; CostOnly's baseline raises the miss of an empty frozen cache. +// Only ShortestPaths reads the cache: CentralizedTE, T1 and Pinned reject one (frozen too) before +// any lookup and count nothing; ShortestPaths's baseline raises the miss of an empty frozen cache. TEST(Evaluators, SensitivityReadsTheCacheOnlyUnderCostOnly) { auto g = diamond(5, 3, 2); const Pinned pin = pinned_dags(*g, 0, 3, {dag_of(*g, {0, 2}), dag_of(*g, {1, 3})}); - DagCache empty(*g); + ShortestPathCache empty(*g); empty.freeze(); for (const auto& [c, model] : - {std::pair {global_config(), "Global"}, - std::pair {t1(2), "T1"}, + {std::pair {global_config(), "CentralizedTE"}, + std::pair {t1(2), "DistributedTE"}, std::pair {FlowPolicyConfig {.routing = pin}, "Pinned"}}) { for (const std::int32_t workers : {1, 3}) { EXPECT_EQ(error_of([&] { - (void)sensitivity(*g, v({0}), v({3}), QueryOptions {c, nullptr, &empty}, workers); + (void)evaluate_edge_failures(*g, v({0}), v({3}), EvaluationOptions {c, nullptr, &empty}, workers); }), - std::string(model) + " does not use DagCache"); + std::string(model) + " does not use ShortestPathCache"); } } - EXPECT_EQ(stats_of(empty.stats()), stats_of(DagCache(*g).stats())); - EXPECT_THROW((void)sensitivity(*g, v({0}), v({3}), QueryOptions {cost_only_config(), nullptr, &empty}, 1), - DagCacheMiss); + EXPECT_EQ(stats_of(empty.stats()), stats_of(ShortestPathCache(*g).stats())); + EXPECT_THROW((void)evaluate_edge_failures(*g, v({0}), v({3}), EvaluationOptions {cost_only_config(), nullptr, &empty}, 1), + ShortestPathCacheMiss); EXPECT_EQ(empty.stats().misses, 1); } @@ -1668,11 +1679,131 @@ void set_env(const char* name, const char* value) { } // namespace // The evaluators' default worker counts (README "Environment variables", evaluator_checks.hpp): -// NGRAPH_CORE_BATCH_THREADS for batch_capacity and NGRAPH_CORE_SENSITIVITY_THREADS for -// sensitivity, each an integer in [1, 4096] read independently of the other; 1 when unset or +// NGRAPH_CORE_BATCH_THREADS for evaluate_pairs and NGRAPH_CORE_SENSITIVITY_THREADS for +// evaluate_edge_failures, each an integer in [1, 4096] read independently of the other; 1 when unset or // invalid. " 4" reads as 4 (leading blanks are part of the integer syntax, as for strtol and // Python's int()); trailing characters, a sign alone and values outside the range // give 1. +// ---------------------------------------------------------------- the offer of every model + +// PAR(a, b): two parallel links 0 -> 1 of capacities a and b, cost 1. +std::shared_ptr par(Amount a, Amount b) { return shared(make_graph(2, {{0, 1, a, 1}, {0, 1, b, 1}})); } +EvaluationOptions offered(FlowPolicyConfig c, std::optional> offer, + std::optional> design = std::nullopt) { + EvaluationOptions o {std::move(c)}; + o.offer = offer; + o.design_demand = design; + return o; +} +const std::optional> kNoOffer; +std::optional> units(Amount a) { return std::optional> {std::in_place, a}; } + +// ECMP Lossless on PAR(4, 10): uncapped 8; an offer below the bound in full, above it up to 8. +TEST(Evaluators, OfferShortestPaths) { + const auto g = par(4, 10); + const auto ecmp = cost_only_config(); + auto r = evaluate_demand(*g, v({0}), v({1}), offered(ecmp, kNoOffer)); + EXPECT_EQ(std::tuple(r.call_delivered, r.termination), std::tuple(Amount {8}, Termination::Exhausted)); + r = evaluate_demand(*g, v({0}), v({1}), offered(ecmp, units(5))); + EXPECT_EQ(std::tuple(r.call_delivered, r.termination), std::tuple(Amount {5}, Termination::Complete)); + r = evaluate_demand(*g, v({0}), v({1}), offered(ecmp, units(12))); + EXPECT_EQ(std::tuple(r.call_delivered, r.termination), std::tuple(Amount {8}, Termination::Exhausted)); + r = evaluate_demand(*g, v({0}), v({1}), offered(ecmp, units(0))); + EXPECT_EQ(std::tuple(r.call_delivered, r.termination), std::tuple(Amount {0}, Termination::Complete)); +} + +// T1, design 8 (one tunnel on each link): Lossless 8, or 5 at the offer 5; Lossy 12 drops 2 on +// link 0; the missing offer and the missing design. +TEST(Evaluators, OfferDistributed) { + const auto g = par(4, 10); + EXPECT_EQ(evaluate_demand(*g, v({0}), v({1}), offered(t1(2), kNoOffer, units(8))).call_delivered, 8); + EXPECT_EQ(evaluate_demand(*g, v({0}), v({1}), offered(t1(2), units(5), units(8))).call_delivered, 5); + const auto r = evaluate_demand(*g, v({0}), v({1}), offered(t1(2, Admission::Lossy), units(12), units(8))); + EXPECT_EQ(r.call_delivered, 10); + EXPECT_EQ(r.call_edge_drops, (std::vector> {{0, 2}})); + EXPECT_EQ(error_of([&] { (void)evaluate_demand(*g, v({0}), v({1}), offered(t1(2, Admission::Lossy), kNoOffer, units(8))); }), + "DistributedTE LOSSY evaluation requires a finite offer"); + EXPECT_EQ(error_of([&] { (void)evaluate_demand(*g, v({0}), v({1}), offered(t1(2), kNoOffer)); }), + "DistributedTE evaluation requires design_demand"); +} + +// evaluate_edge_failures at a fixed offer: every deletion answers the same offer (EVAL-fixed-offer +// and PAR(4, 10)); without one, the first-hop experiment injects each remaining link's capacity. +TEST(Evaluators, FailuresFixedOffer) { + const auto ly = FlowPolicyConfig {.routing = ShortestPaths {}, .admission = Admission::Lossy}; + const auto run = [&](const Graph& g, std::optional> offer, std::int32_t workers) { + const auto s = evaluate_edge_failures(g, v({0}), v({1}), offered(ly, offer), workers); + std::vector out {s.baseline.call_delivered}; + for (const auto& e : s.entries) out.push_back(e.delivery_reduction); + return out; + }; + for (const std::int32_t w : {1, 2}) { + EXPECT_EQ(run(*par(10, 10), units(4), w), (std::vector {4, 0, 0})); + EXPECT_EQ(run(*par(10, 10), kNoOffer, w), (std::vector {20, 10, 10})); + EXPECT_EQ(run(*par(4, 10), units(12), w), (std::vector {10, 0, 6})); + EXPECT_EQ(run(*par(4, 10), kNoOffer, w), (std::vector {14, 4, 10})); + } +} + +// The C++ offer outside its domain (2^62, a negative value) and an explicit +inf: the one text, +// after the configuration and before the design. +TEST(Evaluators, OfferDomain) { + const auto g = par(4, 10); + const std::string domain = "offer must be an integer in [0, 2^62)"; + for (const auto& offer : {units(kL62), units(-5), std::optional> {std::in_place, std::nullopt}}) { + EXPECT_EQ(error_of([&] { (void)evaluate_demand(*g, v({0}), v({1}), offered(cost_only_config(), offer)); }), domain); + EXPECT_EQ(error_of([&] { (void)evaluate_demand(*g, v({0}), v({1}), offered(t1(2), offer, units(-1))); }), domain); + } + EXPECT_EQ(error_of([&] { + (void)evaluate_demand(*g, v({0}), v({1}), + offered({.routing = centralized(SourceAllocation::Equal, {}, std::nullopt, true)}, units(-5))); + }), + "prefer_headroom requires tunnel_count"); + EXPECT_EQ(error_of([&] { (void)evaluate_demand(*g, v({0}), v({1}), offered(cost_only_config(), kNoOffer, units(-1))); }), + "ShortestPaths does not accept design_demand"); + EXPECT_EQ(error_of([&] { (void)evaluate_demand(*g, v({0}), v({1}), offered(cost_only_config(), units(kL62 - 1))); }), ""); +} + +// The failure study of every controller and ShortestPaths at finite offers below, at and above +// the maximum: the baseline is evaluate_demand's, and each allowed edge's reduction is the baseline +// minus evaluate_demand with that edge excluded too (a capped CentralizedTE baseline is no maximum +// flow: its deletions are solved afresh), workers 1 and 2. +TEST(Evaluators, FailuresAtEveryOffer) { + const auto g = shared(make_graph(4, {{0, 1, 4, 1}, {0, 2, 6, 1}, {1, 3, 3, 2}, {2, 3, 9, 1}})); + const std::vector configs = { + {.routing = centralized(SourceAllocation::Optimized)}, {.routing = centralized(SourceAllocation::Equal)}, + {.routing = shortest_paths(RouteAllocation::Optimized)}, {.routing = shortest_paths(RouteAllocation::Equal)}, + {.routing = shortest_paths(RouteAllocation::Weighted)}}; + int checked = 0; + for (std::size_t c = 0; c < configs.size(); ++c) { + const Amount top = evaluate_demand(*g, v({0}), v({3}), offered(configs[c], kNoOffer)).call_delivered; + ASSERT_GT(top, 2); + for (const Amount offer : {Amount {1}, top / 2, top, top + 5}) { + const auto o = offered(configs[c], units(offer)); + const Amount base = evaluate_demand(*g, v({0}), v({3}), o).call_delivered; + for (const std::int32_t workers : {1, 2}) { + const std::string where = "config " + std::to_string(c) + " offer " + std::to_string(offer) + " workers " + + std::to_string(workers); + SensitivityResult s; + ASSERT_EQ(error_of([&] { s = evaluate_edge_failures(*g, v({0}), v({3}), o, workers); }), "") << where; + EXPECT_EQ(s.baseline.call_delivered, base) << where; + std::vector got(static_cast(g->num_edges()), 0); + for (const auto& e : s.entries) got[static_cast(e.edge)] = e.delivery_reduction; + for (EdgeId e = 0; e < g->num_edges(); ++e) { + const EdgeId one[1] = {e}; + const auto mask = g->eligibility({}, one); + auto deleted = o; + deleted.eligibility = &mask; + EXPECT_EQ(got[static_cast(e)], base - evaluate_demand(*g, v({0}), v({3}), deleted).call_delivered) + << where << " edge " << e; + } + ++checked; + } + } + } + EXPECT_EQ(checked, 5 * 4 * 2); +} + TEST(Evaluators, DefaultWorkersParseTheEnvironment) { const char* names[] = {"NGRAPH_CORE_BATCH_THREADS", "NGRAPH_CORE_SENSITIVITY_THREADS"}; std::optional saved[2]; @@ -1690,15 +1821,32 @@ TEST(Evaluators, DefaultWorkersParseTheEnvironment) { {nullptr, 1}, {"1", 1}, {"4", 4}, {"4096", 4096}, {"4097", 1}, {"0", 1}, {"-4", 1}, {"abc", 1}, {"4x", 1}, {"4 ", 1}, {" 4", 4}, {"+", 1}, {"99999999999999999999", 1}, }; - for (const bool sensitivity : {false, true}) { - const int self = sensitivity ? 1 : 0; + for (const bool edge_failures : {false, true}) { + const int self = edge_failures ? 1 : 0; for (const auto& [value, want] : cases) { const std::string where = std::string(names[self]) + "=" + (value == nullptr ? "(unset)" : "'" + std::string(value) + "'"); set_env(names[self], value); set_env(names[1 - self], "7"); // the other variable never applies - EXPECT_EQ(detail::default_workers(sensitivity), want) << where; - EXPECT_EQ(detail::default_workers(!sensitivity), 7) << where; + EXPECT_EQ(detail::default_workers(edge_failures), want) << where; + EXPECT_EQ(detail::default_workers(!edge_failures), 7) << where; } } } + +// The route choice of ShortestPaths: the single-path order read on the service view +// at preparation. TRI with the service view 4, 8, 5, 50: the record's route is e0, e2, e1, e0 for +// FEWER_HOPS, HIGHER_CAPACITY, HIGHER_AVAILABLE_CAPACITY, HIGHER_HEADROOM. +TEST(RouteChoice, ShortestPathsSinglePath) { + const auto g = shared(make_graph(2, {{0, 1, 4, 1}, {0, 1, 10, 1}, {0, 1, 100, 1}, {0, 1, 50, 2}})); + for (const auto& [tie, want] : {std::pair {RouteTieBreak::FewerHops, EdgeId {0}}, + std::pair {RouteTieBreak::HigherCapacity, EdgeId {2}}, + std::pair {RouteTieBreak::HigherAvailableCapacity, EdgeId {1}}, + std::pair {RouteTieBreak::HigherHeadroom, EdgeId {0}}}) { + FlowLedger fg(g, std::vector {4, 8, 5, 50}); + FlowPolicy p(fg, v({0}), v({1}), cfg(ShortestPaths {}, RouteAllocation::Equal, Admission::Lossless, sel(tie, false))); + EXPECT_EQ(p.place(1).call_delivered, 1) << static_cast(tie); + ASSERT_EQ(p.records().size(), 1U); + EXPECT_EQ(p.records()[0].edge_flows, (std::vector> {{want, 1}})) << static_cast(tie); + } +} diff --git a/tests/cpp/graph_concurrency_tests.cpp b/tests/cpp/graph_concurrency_tests.cpp index 954ba92..2555b22 100644 --- a/tests/cpp/graph_concurrency_tests.cpp +++ b/tests/cpp/graph_concurrency_tests.cpp @@ -4,7 +4,7 @@ // published immutable graph and on its copy, each thread with its own options, compared with a // serial reference; every array of the graph is unchanged after. One batch path builds its own // reverse support in its workers (no prepopulated frozen cache), so the reverse-source copy is read -// by worker threads. One PredDAG and one Path are read by every thread. The tests' own threads +// by worker threads. One PredecessorDAG and one Path are read by every thread. The tests' own threads // start their work together once all of them run (a start latch), so the calls overlap as far as // the scheduler allows; ThreadSanitizer reports a race between unordered accesses whether or not // they happened to overlap in time. @@ -22,10 +22,10 @@ #include "graph_inputs.hpp" #include "graph_reference.hpp" -#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/detail/route_builders.hpp" #include "netgraph/core/evaluators.hpp" #include "netgraph/core/graph.hpp" -#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/route_structures.hpp" #include "netgraph/core/search.hpp" #include "test_utils.hpp" @@ -35,8 +35,8 @@ using namespace netgraph::core::test; namespace { // m random edges of 1 to 4 units (no zero capacity). -Input random_input(std::int32_t n, std::size_t m, Cost max_cost, std::uint64_t seed) { - return test::random_input("", n, m, max_cost, seed, 1, 4); +Input random_input(std::int32_t n, std::size_t m, Cost max_edge_cost, std::uint64_t seed) { + return test::random_input("", n, m, max_edge_cost, seed, 1, 4); } } // namespace @@ -63,8 +63,8 @@ TEST(GraphConcurrency, IndependentConstructionsAtTheSameTime) { const auto& in = inputs[static_cast(t)]; start.arrive_and_wait(); const Graph g = build(in); - got[static_cast(t)].assign(g.input_index().begin(), g.input_index().end()); - got_rev[static_cast(t)].assign(g.in_adj_edge_index().begin(), g.in_adj_edge_index().end()); + got[static_cast(t)].assign(g.input_positions().begin(), g.input_positions().end()); + got_rev[static_cast(t)].assign(g.incoming_edges().begin(), g.incoming_edges().end()); uids[static_cast(t)] = g.uid(); }); } @@ -77,8 +77,8 @@ TEST(GraphConcurrency, IndependentConstructionsAtTheSameTime) { for (int t = 0; t < kThreads; ++t) { const auto& in = inputs[static_cast(t)]; const auto r = reference_graph(in.n, in.src, in.dst, in.cap, in.cost, 1.0); - EXPECT_EQ(got[static_cast(t)], r.input_index) << t; - EXPECT_EQ(got_rev[static_cast(t)], r.in_adj_edge_index) << t; + EXPECT_EQ(got[static_cast(t)], r.input_positions) << t; + EXPECT_EQ(got_rev[static_cast(t)], r.incoming_edges) << t; } } @@ -104,7 +104,7 @@ TEST(GraphConcurrency, SharedGraphSearchesBothDirectionsBothQueues) { auto run = [](const Job& j) { const std::vector roots {j.root}; // A full search keeping every tight edge (multipath, every parallel member). - const SpfOptions o(j.direction, PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)); + const SpfOptions o(j.direction); return spf(*j.graph, roots, o, j.queue); }; std::vector serial; @@ -131,7 +131,7 @@ TEST(GraphConcurrency, SharedGraphSearchesBothDirectionsBothQueues) { EXPECT_TRUE(arrays_of(copy) == before); } -// The immutable route values shared by threads: every thread reads every member of one PredDAG +// The immutable route values shared by threads: every thread reads every member of one PredecessorDAG // (its sparse storage and its ascending edge list too, through the internal read access) and of // one Path (its DAG included) 20 times, and compares each read with the values read before the // threads started (the DAG also with a copy taken then). ThreadSanitizer reports any write racing @@ -140,12 +140,12 @@ TEST(GraphConcurrency, SharedRouteValuesAreReadByEveryThread) { const auto in = random_input(200, 2000, 9, 7); const Graph g = build(in); const std::vector roots {0}; - const auto search = spf(g, roots, SpfOptions(Direction::Forward, PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity))); - const PredDAG& dag = search.dag; - const PredDAG dag_before = dag; + const auto search = spf(g, roots, SpfOptions(Direction::Forward)); + const PredecessorDAG& dag = search.dag; + const PredecessorDAG dag_before = dag; ASSERT_FALSE(dag.via_edges().empty()); // A walk of single-member hops from the root: the first entry of each node, followed back. - NodeId v = static_cast(g.edge_dst()[static_cast(dag.via_edges().back())]); + NodeId v = static_cast(g.edge_destinations()[static_cast(dag.via_edges().back())]); std::vector> hops; const auto offsets = dag.parent_offsets(); while (v != 0) { @@ -155,7 +155,7 @@ TEST(GraphConcurrency, SharedRouteValuesAreReadByEveryThread) { } ASSERT_FALSE(hops.empty()); const Path path(g, hops); - using Builder = detail::PredDAGBuilder; + using Builder = detail::PredecessorDAGBuilder; struct Read { std::uint64_t graph_uid; std::vector offsets; @@ -173,7 +173,7 @@ TEST(GraphConcurrency, SharedRouteValuesAreReadByEveryThread) { bool path_dag_equal; bool operator==(const Read&) const = default; }; - const PredDAG path_dag = path.to_dag(); + const PredecessorDAG path_dag = path.to_dag(); auto read = [&] { const auto nodes = Builder::member_nodes(dag); const auto node_offsets = Builder::member_offsets(dag); @@ -187,8 +187,8 @@ TEST(GraphConcurrency, SharedRouteValuesAreReadByEveryThread) { {ascending.begin(), ascending.end()}, path.graph_uid(), path.hops(), - path.src(), - path.dst(), + path.source(), + path.destination(), path.cost(), dag == dag_before, path.to_dag() == path_dag}; @@ -212,30 +212,30 @@ TEST(GraphConcurrency, SharedRouteValuesAreReadByEveryThread) { for (int t = 0; t < kThreads; ++t) EXPECT_EQ(wrong[static_cast(t)], 0) << t; } -// Workers of batch_capacity without a supplied cache each build their own reverse static support -// (the CostOnly policy's DAG toward the destinations) on the shared graph. +// Workers of evaluate_pairs without a supplied cache each build their own reverse static support +// (the ShortestPaths policy's DAG toward the destinations) on the shared graph. TEST(GraphConcurrency, BatchWorkersBuildTheirOwnReverseSupport) { const auto in = random_input(400, 4000, 9, 5); const Graph g = build(in); const auto before = arrays_of(g); std::vector, std::vector>> pairs; for (NodeId s = 0; s < 32; ++s) pairs.push_back({{s}, {static_cast(399 - s)}}); - // CostOnly routing: each policy's DAG is the reverse static support toward its destination. + // ShortestPaths routing: each policy's DAG is the reverse static support toward its destination. // Every output is requested, so the per-edge flows and the residuals are compared too. - const QueryOptions opts {cost_only_config(), nullptr, nullptr, OutputOptions {true, true, true}}; - const auto serial = batch_capacity(g, pairs, opts, {}, 1); - const auto parallel = batch_capacity(g, pairs, opts, {}, 4); + const EvaluationOptions opts {cost_only_config(), nullptr, nullptr, OutputOptions {true, true, true}}; + const auto serial = evaluate_pairs(g, pairs, opts, {}, 1); + const auto parallel = evaluate_pairs(g, pairs, opts, {}, 4); ASSERT_EQ(serial.size(), pairs.size()); ASSERT_EQ(parallel.size(), pairs.size()); int placing = 0; for (std::size_t i = 0; i < serial.size(); ++i) { ASSERT_TRUE(serial[i].edge_flows.has_value() && parallel[i].edge_flows.has_value()) << i; ASSERT_TRUE(serial[i].residual.has_value() && parallel[i].residual.has_value()) << i; - EXPECT_EQ(serial[i].placed, parallel[i].placed) << i; + EXPECT_EQ(serial[i].call_delivered, parallel[i].call_delivered) << i; EXPECT_EQ(serial[i].edge_flows, parallel[i].edge_flows) << i; EXPECT_EQ(serial[i].residual, parallel[i].residual) << i; - EXPECT_EQ(serial[i].bottleneck, parallel[i].bottleneck) << i; - placing += serial[i].placed > 0 ? 1 : 0; + EXPECT_EQ(serial[i].saturated_boundary_edges, parallel[i].saturated_boundary_edges) << i; + placing += serial[i].call_delivered > 0 ? 1 : 0; } EXPECT_GT(placing, 16); // not vacuous: most pairs place something EXPECT_TRUE(arrays_of(g) == before); diff --git a/tests/cpp/graph_fault_tests.cpp b/tests/cpp/graph_fault_tests.cpp index e98bfcc..f0ef83c 100644 --- a/tests/cpp/graph_fault_tests.cpp +++ b/tests/cpp/graph_fault_tests.cpp @@ -1,5 +1,5 @@ // Allocation-failure atomicity of the graph's construction and copy, the allocation-free move, -// and the calls that build a new Eligibility, PredDAG or Path from const inputs. Runs in the +// and the calls that build a new Eligibility, PredecessorDAG or Path from const inputs. Runs in the // fault-injection executable (fault_injection.hpp), whose // replacement operator new fails the chosen allocation and counts the live allocations // (g_live, in fault_injection.cpp's replacement functions). @@ -11,8 +11,8 @@ // (graph_inputs.hpp): an empty graph, isolated nodes, the hash path from creation through growth // and collisions, the K-limit transition into the fallback, the probe-budget fallbacks during // collection and during a table growth; and the copy constructor. Each factory call (the -// Eligibility of a graph and of an intersection, PredDAG::from_csr and parent_offsets, a Path and -// its PredDAG) fails at every allocation without building anything or leaking, and the completing +// Eligibility of a graph and of an intersection, PredecessorDAG::from_csr and parent_offsets, a Path and +// its PredecessorDAG) fails at every allocation without building anything or leaking, and the completing // call equals the reference. // No branch counter is read here: graph_layout_tests.cpp observes the probe-budget paths of the // same shapes. @@ -31,7 +31,7 @@ #include "layout_checker.hpp" #include "netgraph/core/detail/graph_access.hpp" #include "netgraph/core/graph.hpp" -#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/route_structures.hpp" using namespace netgraph::core; using namespace netgraph::core::test; @@ -52,8 +52,8 @@ std::vector paths() { void expect_built(const Graph& g, const Input& in, const std::string& where) { const auto r = reference_graph(in.n, in.src, in.dst, in.cap, in.cost, 1.0); - EXPECT_EQ(std::vector(g.input_index().begin(), g.input_index().end()), r.input_index) << where; - EXPECT_EQ(std::vector(g.in_adj_edge_index().begin(), g.in_adj_edge_index().end()), r.in_adj_edge_index) + EXPECT_EQ(std::vector(g.input_positions().begin(), g.input_positions().end()), r.input_positions) << where; + EXPECT_EQ(std::vector(g.incoming_edges().begin(), g.incoming_edges().end()), r.incoming_edges) << where; const auto bad = check_layout(spans_of(g), view(in)); EXPECT_TRUE(bad.empty()) << where << ": " << (bad.empty() ? "" : bad.front()); @@ -147,7 +147,7 @@ TEST(GraphFaults, MoveIsAllocationFreeUnderAnArmedFailure) { const bool untouched = g_countdown.load() == 0; // no allocation was attempted g_countdown = -1; const bool ok = untouched && g_live.load() == live && m.uid() == uid && m.num_edges() == edges && - g.num_edges() == 0 && g.row_offsets().size() == 1 && // NOLINT(bugprone-use-after-move) + g.num_edges() == 0 && g.outgoing_offsets().size() == 1 && // NOLINT(bugprone-use-after-move) g.resolution() == m.resolution(); std::_Exit(ok ? 0 : 3); }, @@ -188,7 +188,7 @@ TEST(GraphFaults, EveryFactoryAllocationFailsWithoutALeak) { const auto edge = [&](NodeId u, NodeId v, Cost c) { for (EdgeId e = 0; e < g.num_edges(); ++e) { const auto i = static_cast(e); - if (g.edge_src()[i] == u && g.edge_dst()[i] == v && g.cost()[i] == c) return e; + if (g.edge_sources()[i] == u && g.edge_destinations()[i] == v && g.edge_costs()[i] == c) return e; } ADD_FAILURE() << "no edge " << u << " -> " << v; return EdgeId {0}; @@ -214,11 +214,11 @@ TEST(GraphFaults, EveryFactoryAllocationFailsWithoutALeak) { const auto same = [](const auto& a, const auto& b) { return a == b; }; sweep_factory("Path", [&] { return Path(g, hops); }, same); const Path path(g, hops); - sweep_factory("Path::to_dag", [&] { return path.to_dag(); }, same); - const PredDAG dag = path.to_dag(); - sweep_factory>("PredDAG::parent_offsets", [&] { return dag.parent_offsets(); }, same); + sweep_factory("Path::to_dag", [&] { return path.to_dag(); }, same); + const PredecessorDAG dag = path.to_dag(); + sweep_factory>("PredecessorDAG::parent_offsets", [&] { return dag.parent_offsets(); }, same); const auto offsets = dag.parent_offsets(); - sweep_factory("PredDAG::from_csr", [&] { return PredDAG::from_csr(g, offsets, dag.parents(), dag.via_edges()); }, + sweep_factory("PredecessorDAG::from_csr", [&] { return PredecessorDAG::from_csr(g, offsets, dag.parents(), dag.via_edges()); }, same); } diff --git a/tests/cpp/graph_inputs.hpp b/tests/cpp/graph_inputs.hpp index cb1f3bd..810da34 100644 --- a/tests/cpp/graph_inputs.hpp +++ b/tests/cpp/graph_inputs.hpp @@ -39,9 +39,9 @@ inline Graph build(const Input& in) { return Graph(in.n, in.src, in.dst, in.cap, // An input and a graph's stored layout as the layout checker reads them. inline LayoutInput view(const Input& in) { return {in.n, in.src, in.dst, in.cap, in.cost}; } inline LayoutSpans spans_of(const Graph& g) { - return {g.num_nodes(), g.num_edges(), g.capacity_units(), g.cost(), g.edge_src(), g.edge_dst(), g.input_index(), - g.row_offsets(), g.in_row_offsets(), g.in_adj_edge_index(), detail::GraphAccess::in_col_indices(g), - g.max_cost(), g.cost_gcd()}; + return {g.num_nodes(), g.num_edges(), g.edge_capacity_units(), g.edge_costs(), g.edge_sources(), g.edge_destinations(), g.input_positions(), + g.outgoing_offsets(), g.incoming_offsets(), g.incoming_edges(), detail::GraphAccess::incoming_edge_sources(g), + g.max_edge_cost(), g.edge_cost_gcd()}; } // The number of distinct costs of an input (K), which decides its construction path. @@ -57,30 +57,30 @@ struct GraphArrays { std::vector capacity; std::vector cost; std::vector src, dst; - std::vector input_index, row_offsets, in_row_offsets; + std::vector input_positions, outgoing_offsets, incoming_offsets; std::vector in_adj; std::vector in_col; - Cost max_cost {0}, cost_gcd {0}; + Cost max_edge_cost {0}, edge_cost_gcd {0}; bool operator==(const GraphArrays&) const = default; }; inline GraphArrays arrays_of(const Graph& g) { - const auto col = detail::GraphAccess::in_col_indices(g); - return {{g.capacity_units().begin(), g.capacity_units().end()}, - {g.cost().begin(), g.cost().end()}, - {g.edge_src().begin(), g.edge_src().end()}, - {g.edge_dst().begin(), g.edge_dst().end()}, - {g.input_index().begin(), g.input_index().end()}, - {g.row_offsets().begin(), g.row_offsets().end()}, - {g.in_row_offsets().begin(), g.in_row_offsets().end()}, - {g.in_adj_edge_index().begin(), g.in_adj_edge_index().end()}, + const auto col = detail::GraphAccess::incoming_edge_sources(g); + return {{g.edge_capacity_units().begin(), g.edge_capacity_units().end()}, + {g.edge_costs().begin(), g.edge_costs().end()}, + {g.edge_sources().begin(), g.edge_sources().end()}, + {g.edge_destinations().begin(), g.edge_destinations().end()}, + {g.input_positions().begin(), g.input_positions().end()}, + {g.outgoing_offsets().begin(), g.outgoing_offsets().end()}, + {g.incoming_offsets().begin(), g.incoming_offsets().end()}, + {g.incoming_edges().begin(), g.incoming_edges().end()}, {col.begin(), col.end()}, - g.max_cost(), - g.cost_gcd()}; + g.max_edge_cost(), + g.edge_cost_gcd()}; } -// m random edges over n nodes, costs 1..max_cost, capacities cap_low .. cap_low + cap_span - 1. -inline Input random_input(std::string name, std::int32_t n, std::size_t m, Cost max_cost, std::uint64_t seed, +// m random edges over n nodes, costs 1..max_edge_cost, capacities cap_low .. cap_low + cap_span - 1. +inline Input random_input(std::string name, std::int32_t n, std::size_t m, Cost max_edge_cost, std::uint64_t seed, Amount cap_low = 0, Amount cap_span = 5) { std::mt19937_64 rng(seed); Input in {std::move(name), n}; @@ -88,7 +88,7 @@ inline Input random_input(std::string name, std::int32_t n, std::size_t m, Cost in.src.push_back(static_cast(rng() % static_cast(n))); in.dst.push_back(static_cast(rng() % static_cast(n))); in.cap.push_back(cap_low + static_cast(rng() % static_cast(cap_span))); - in.cost.push_back(static_cast(1 + rng() % static_cast(max_cost))); + in.cost.push_back(static_cast(1 + rng() % static_cast(max_edge_cost))); } return in; } diff --git a/tests/cpp/graph_layout_tests.cpp b/tests/cpp/graph_layout_tests.cpp index 7c9daa7..72b413a 100644 --- a/tests/cpp/graph_layout_tests.cpp +++ b/tests/cpp/graph_layout_tests.cpp @@ -21,11 +21,11 @@ #include "graph_inputs.hpp" #include "graph_reference.hpp" #include "layout_checker.hpp" -#include "netgraph/core/dag_cache.hpp" +#include "netgraph/core/shortest_path_cache.hpp" #include "netgraph/core/detail/graph_access.hpp" #include "netgraph/core/evaluators.hpp" #include "netgraph/core/graph.hpp" -#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/route_structures.hpp" #include "netgraph/core/search.hpp" #include "test_utils.hpp" @@ -36,28 +36,28 @@ using detail::GraphAccess; namespace { // Every public array, its element width, the counts, the resolution and the scans equal the -// reference's; the internal copy equals the reference's edge_src[in_adj_edge_index[slot]]. +// reference's; the internal copy equals the reference's edge_sources()[incoming_edges()[slot]]. void expect_same_as_reference(const Graph& g, const Input& in) { const auto r = reference_graph(in.n, in.src, in.dst, in.cap, in.cost, in.q); - static_assert(sizeof(decltype(g.capacity_units())::element_type) == 8); - static_assert(sizeof(decltype(g.cost())::element_type) == 8); - static_assert(sizeof(decltype(g.edge_src())::element_type) == 4); - static_assert(sizeof(decltype(g.input_index())::element_type) == 4); - static_assert(sizeof(decltype(g.in_adj_edge_index())::element_type) == 4); + static_assert(sizeof(decltype(g.edge_capacity_units())::element_type) == 8); + static_assert(sizeof(decltype(g.edge_costs())::element_type) == 8); + static_assert(sizeof(decltype(g.edge_sources())::element_type) == 4); + static_assert(sizeof(decltype(g.input_positions())::element_type) == 4); + static_assert(sizeof(decltype(g.incoming_edges())::element_type) == 4); EXPECT_EQ(g.num_nodes(), r.num_nodes) << in.name; EXPECT_EQ(g.num_edges(), static_cast(r.capacity.size())) << in.name; EXPECT_EQ(g.resolution(), r.resolution) << in.name; - EXPECT_EQ(g.max_cost(), r.max_cost) << in.name; - EXPECT_EQ(g.cost_gcd(), r.cost_gcd) << in.name; - EXPECT_EQ(vec(g.capacity_units()), r.capacity) << in.name; - EXPECT_EQ(vec(g.cost()), r.cost) << in.name; - EXPECT_EQ(vec(g.edge_src()), r.src) << in.name; - EXPECT_EQ(vec(g.edge_dst()), r.dst) << in.name; - EXPECT_EQ(vec(g.input_index()), r.input_index) << in.name; - EXPECT_EQ(vec(g.row_offsets()), r.row_offsets) << in.name; - EXPECT_EQ(vec(g.in_row_offsets()), r.in_row_offsets) << in.name; - EXPECT_EQ(vec(g.in_adj_edge_index()), r.in_adj_edge_index) << in.name; - EXPECT_EQ(vec(GraphAccess::in_col_indices(g)), reference_in_col_indices(r)) << in.name; + EXPECT_EQ(g.max_edge_cost(), r.max_edge_cost) << in.name; + EXPECT_EQ(g.edge_cost_gcd(), r.edge_cost_gcd) << in.name; + EXPECT_EQ(vec(g.edge_capacity_units()), r.capacity) << in.name; + EXPECT_EQ(vec(g.edge_costs()), r.cost) << in.name; + EXPECT_EQ(vec(g.edge_sources()), r.src) << in.name; + EXPECT_EQ(vec(g.edge_destinations()), r.dst) << in.name; + EXPECT_EQ(vec(g.input_positions()), r.input_positions) << in.name; + EXPECT_EQ(vec(g.outgoing_offsets()), r.outgoing_offsets) << in.name; + EXPECT_EQ(vec(g.incoming_offsets()), r.incoming_offsets) << in.name; + EXPECT_EQ(vec(g.incoming_edges()), r.incoming_edges) << in.name; + EXPECT_EQ(vec(GraphAccess::incoming_edge_sources(g)), reference_in_col_indices(r)) << in.name; const auto bad = check_layout(spans_of(g), view(in)); EXPECT_TRUE(bad.empty()) << in.name << ": " << (bad.empty() ? "" : bad.front()); } @@ -78,7 +78,7 @@ Input permuted(const Input& in, const std::vector& p, const std::st // The same edges in EdgeId order, reversed and shuffled (all property arrays permuted together). std::vector orders(const Input& in, std::uint64_t seed) { const auto r = reference_graph(in.n, in.src, in.dst, in.cap, in.cost, in.q); - std::vector sorted(r.input_index.begin(), r.input_index.end()); + std::vector sorted(r.input_positions.begin(), r.input_positions.end()); std::vector rev(in.src.size()); std::iota(rev.rbegin(), rev.rend(), 0); std::vector sh(in.src.size()); @@ -154,8 +154,8 @@ TEST(GraphLayout, DifferentialWideIntegers) { const Input both {"2^53 + 1", 2, {0, 0, 1}, {1, 1, 0}, {above, above + 2, 0}, {(Cost{1} << 53) + 1, (Cost{1} << 53) + 3, 1}}; const Graph g = build(both); expect_same_as_reference(g, both); - EXPECT_EQ(g.capacity_units()[0], above); - EXPECT_EQ(g.cost()[0], (Cost{1} << 53) + 1); + EXPECT_EQ(g.edge_capacity_units()[0], above); + EXPECT_EQ(g.edge_costs()[0], (Cost{1} << 53) + 1); } TEST(GraphLayout, DifferentialHashCollisions) { @@ -237,7 +237,7 @@ TEST(GraphLayout, DifferentialErrorsFirstInvalidIndexAndSumOrder) { Input in {"two costs", 3, {0, 1, 2, 0}, {1, 2, 0, 2}, {1, 1, 1, 1}, {1, -2, 0, 1}}; auto got = outcome([&] { (void)build(in); }); EXPECT_EQ(got, outcome([&] { (void)reference_graph(in.n, in.src, in.dst, in.cap, in.cost, in.q); })); - EXPECT_NE(got.second.find("cost[1] = -2"), std::string::npos) << got.second; + EXPECT_NE(got.second.find("edge_costs[1] = -2"), std::string::npos) << got.second; // Capacity and cost sums both over: the one whose running sum crosses first, in input order. Input both {"sums", 2, {0, 0, 0}, {1, 1, 1}, {1, kL62 / 2, kL62 / 2}, {kL62 / 2, kL62 / 2, 1}}; got = outcome([&] { (void)build(both); }); @@ -253,7 +253,7 @@ TEST(GraphLayout, DifferentialErrorsFirstInvalidIndexAndSumOrder) { // --------------------------------------------------------------------------- the layout checker // The corruption controls of the checker, on a graph built by the constructor. -// The fixture repeats (src, cost, dst) keys with distinct capacities and input positions, and its +// The fixture repeats (source, cost, destination) keys with distinct capacities and input positions, and its // reverse slot order differs from its id order, with different source values. TEST(GraphLayout, CheckerRejectsEveryCorruption) { const Input in {"controls", 4, {0, 2, 0, 1, 0, 3, 2, 0}, {1, 1, 1, 1, 1, 1, 3, 3}, {5, 6, 7, 8, 9, 1, 2, 3}, @@ -266,25 +266,25 @@ TEST(GraphLayout, CheckerRejectsEveryCorruption) { for (std::size_t s = 0; s < clean.in_adj.size(); ++s) reverse_differs |= clean.in_adj[s] != static_cast(s); ASSERT_TRUE(reverse_differs); auto check = [&](const Copy& c) { - return check_layout({in.n, static_cast(in.src.size()), c.capacity, c.cost, c.src, c.dst, c.input_index, - c.row_offsets, c.in_row_offsets, c.in_adj, std::span(c.in_col), c.max_cost, - c.cost_gcd}, + return check_layout({in.n, static_cast(in.src.size()), c.capacity, c.cost, c.src, c.dst, c.input_positions, + c.outgoing_offsets, c.incoming_offsets, c.in_adj, std::span(c.in_col), c.max_edge_cost, + c.edge_cost_gcd}, view(in)); }; const std::vector>> controls = { // Wrong source or row boundary {"wrong source", "forward:membership", [](Copy& c) { c.src[0] = 1; }}, - {"row boundary moved", "forward:membership", [](Copy& c) { ++c.row_offsets[1]; }}, + {"row boundary moved", "forward:membership", [](Copy& c) { ++c.outgoing_offsets[1]; }}, // All-zero offsets (a graph with edges) - {"all-zero offsets", "row_offsets:end", [](Copy& c) { std::fill(c.row_offsets.begin(), c.row_offsets.end(), 0); }}, + {"all-zero offsets", "row_offsets:end", [](Copy& c) { std::fill(c.outgoing_offsets.begin(), c.outgoing_offsets.end(), 0); }}, // Missing or duplicated reverse coverage {"duplicated reverse slot", "slot:permutation", [](Copy& c) { c.in_adj[1] = c.in_adj[0]; }}, - {"wrong reverse destination", "reverse:membership", [](Copy& c) { ++c.in_row_offsets[1]; }}, - // (src, cost) substituted for (cost, src) + {"wrong reverse destination", "reverse:membership", [](Copy& c) { ++c.incoming_offsets[1]; }}, + // (source, cost) substituted for (cost, source) {"(src, cost) reverse order", "reverse:order", [](Copy& c) { - for (std::size_t v = 0; v + 1 < c.in_row_offsets.size(); ++v) { - std::sort(c.in_adj.begin() + c.in_row_offsets[v], c.in_adj.begin() + c.in_row_offsets[v + 1], + for (std::size_t v = 0; v + 1 < c.incoming_offsets.size(); ++v) { + std::sort(c.in_adj.begin() + c.incoming_offsets[v], c.in_adj.begin() + c.incoming_offsets[v + 1], [&](EdgeId p, EdgeId q) { return std::tuple(c.src[static_cast(p)], c.cost[static_cast(p)], p) < std::tuple(c.src[static_cast(q)], c.cost[static_cast(q)], q); @@ -297,7 +297,7 @@ TEST(GraphLayout, CheckerRejectsEveryCorruption) { [](Copy& c) { for (std::size_t e = 0; e + 1 < c.cost.size(); ++e) { if (c.src[e] == c.src[e + 1] && c.cost[e] == c.cost[e + 1] && c.dst[e] == c.dst[e + 1]) { - std::swap(c.input_index[e], c.input_index[e + 1]); + std::swap(c.input_positions[e], c.input_positions[e + 1]); std::swap(c.capacity[e], c.capacity[e + 1]); return; } @@ -305,43 +305,43 @@ TEST(GraphLayout, CheckerRejectsEveryCorruption) { FAIL() << "the fixture has no equal-key pair"; }}, // Corrupted map - {"map entries swapped", "property:capacity", [](Copy& c) { std::swap(c.input_index[0], c.input_index[1]); }}, + {"map entries swapped", "property:capacity", [](Copy& c) { std::swap(c.input_positions[0], c.input_positions[1]); }}, // Property-only mispermutation {"capacities swapped", "property:capacity", [](Copy& c) { std::swap(c.capacity[1], c.capacity[2]); }}, // Out-of-range map or slot before access - {"negative map entry", "map:permutation", [](Copy& c) { c.input_index[1] = -3; }}, - {"duplicated map entry", "map:permutation", [](Copy& c) { c.input_index[1] = c.input_index[0]; }}, - {"map entry E", "map:permutation", [](Copy& c) { c.input_index[1] = static_cast(c.input_index.size()); }}, + {"negative map entry", "map:permutation", [](Copy& c) { c.input_positions[1] = -3; }}, + {"duplicated map entry", "map:permutation", [](Copy& c) { c.input_positions[1] = c.input_positions[0]; }}, + {"map entry E", "map:permutation", [](Copy& c) { c.input_positions[1] = static_cast(c.input_positions.size()); }}, {"slot out of range", "slot:permutation", [](Copy& c) { c.in_adj[2] = 1 << 30; }}, {"negative slot", "slot:permutation", [](Copy& c) { c.in_adj[2] = -1; }}, // Additional size, offset and copied-source corruption controls. {"truncated capacity", "size:capacity", [](Copy& c) { c.capacity.pop_back(); }}, {"oversized slots", "size:in_adj_edge_index", [](Copy& c) { c.in_adj.push_back(0); }}, - {"truncated offsets", "size:in_row_offsets", [](Copy& c) { c.in_row_offsets.pop_back(); }}, + {"truncated offsets", "size:in_row_offsets", [](Copy& c) { c.incoming_offsets.pop_back(); }}, {"truncated copy", "size:in_col_indices", [](Copy& c) { c.in_col.pop_back(); }}, - {"negative offset", "row_offsets:range", [](Copy& c) { c.row_offsets[1] = -1; }}, - {"excessive offset", "in_row_offsets:range", [](Copy& c) { c.in_row_offsets[2] = 1 << 30; }}, + {"negative offset", "row_offsets:range", [](Copy& c) { c.outgoing_offsets[1] = -1; }}, + {"excessive offset", "in_row_offsets:range", [](Copy& c) { c.incoming_offsets[2] = 1 << 30; }}, {"wrong copied source", "copy:source", [](Copy& c) { c.in_col[0] = (c.in_col[0] + 1) % 4; }}, {"copy indexed by id", "copy:source", [](Copy& c) { for (std::size_t s = 0; s < c.in_col.size(); ++s) c.in_col[s] = c.src[s]; }}, {"copied source out of range", "range:in_col_indices", [](Copy& c) { c.in_col[0] = 4; }}, - {"changed maximum", "scan:max_cost", [](Copy& c) { ++c.max_cost; }}, - {"changed GCD", "scan:cost_gcd", [](Copy& c) { c.cost_gcd = 2; }}, + {"changed maximum", "scan:max_cost", [](Copy& c) { ++c.max_edge_cost; }}, + {"changed GCD", "scan:cost_gcd", [](Copy& c) { c.edge_cost_gcd = 2; }}, // Every other code: each array's size, each offset rule of both offset arrays, the endpoint // ranges and each permuted property. {"truncated costs", "size:cost", [](Copy& c) { c.cost.pop_back(); }}, {"truncated sources", "size:src", [](Copy& c) { c.src.pop_back(); }}, {"truncated destinations", "size:dst", [](Copy& c) { c.dst.pop_back(); }}, - {"truncated map", "size:input_index", [](Copy& c) { c.input_index.pop_back(); }}, - {"truncated row offsets", "size:row_offsets", [](Copy& c) { c.row_offsets.pop_back(); }}, - {"row offsets start at 1", "row_offsets:start", [](Copy& c) { c.row_offsets[0] = 1; }}, - {"reverse offsets start at 1", "in_row_offsets:start", [](Copy& c) { c.in_row_offsets[0] = 1; }}, - {"reverse offsets end early", "in_row_offsets:end", [](Copy& c) { --c.in_row_offsets.back(); }}, - {"row offsets decrease", "row_offsets:monotone", [](Copy& c) { c.row_offsets[1] = c.row_offsets[2] + 1; }}, + {"truncated map", "size:input_index", [](Copy& c) { c.input_positions.pop_back(); }}, + {"truncated row offsets", "size:row_offsets", [](Copy& c) { c.outgoing_offsets.pop_back(); }}, + {"row offsets start at 1", "row_offsets:start", [](Copy& c) { c.outgoing_offsets[0] = 1; }}, + {"reverse offsets start at 1", "in_row_offsets:start", [](Copy& c) { c.incoming_offsets[0] = 1; }}, + {"reverse offsets end early", "in_row_offsets:end", [](Copy& c) { --c.incoming_offsets.back(); }}, + {"row offsets decrease", "row_offsets:monotone", [](Copy& c) { c.outgoing_offsets[1] = c.outgoing_offsets[2] + 1; }}, {"reverse offsets decrease", "in_row_offsets:monotone", - [](Copy& c) { c.in_row_offsets[2] = c.in_row_offsets[1] - 1; }}, + [](Copy& c) { c.incoming_offsets[2] = c.incoming_offsets[1] - 1; }}, {"source out of range", "range:src", [](Copy& c) { c.src[0] = 4; }}, {"negative destination", "range:dst", [](Copy& c) { c.dst[0] = -1; }}, // Two different values exchanged (the first one and the first that differs from it). @@ -762,13 +762,13 @@ TEST(GraphLayout, MoveTransfersEverythingAndLeavesAnEmptyGraph) { EXPECT_EQ(x.resolution(), q) << what; EXPECT_EQ(x.num_nodes(), 0) << what; EXPECT_EQ(x.num_edges(), 0) << what; - EXPECT_EQ(x.max_cost(), 0) << what; - EXPECT_EQ(x.cost_gcd(), 0) << what; - EXPECT_TRUE(x.capacity_units().empty() && x.cost().empty() && x.edge_src().empty() && x.edge_dst().empty() && - x.input_index().empty() && x.in_adj_edge_index().empty() && GraphAccess::in_col_indices(x).empty()) + EXPECT_EQ(x.max_edge_cost(), 0) << what; + EXPECT_EQ(x.edge_cost_gcd(), 0) << what; + EXPECT_TRUE(x.edge_capacity_units().empty() && x.edge_costs().empty() && x.edge_sources().empty() && x.edge_destinations().empty() && + x.input_positions().empty() && x.incoming_edges().empty() && GraphAccess::incoming_edge_sources(x).empty()) << what; - EXPECT_EQ(vec(x.row_offsets()), (std::vector {0})) << what; - EXPECT_EQ(vec(x.in_row_offsets()), (std::vector {0})) << what; + EXPECT_EQ(vec(x.outgoing_offsets()), (std::vector {0})) << what; + EXPECT_EQ(vec(x.incoming_offsets()), (std::vector {0})) << what; EXPECT_TRUE(check_layout(spans_of(x), view(Input {"moved-from", 0})).empty()) << what; }; // NOLINTBEGIN(bugprone-use-after-move): the documented moved-from state. @@ -809,7 +809,7 @@ TEST(GraphLayout, RetainedPayloadIs36BytesPerEdgePlusOffsets) { // Graph-bound objects from another graph are rejected at their existing use sites, on a twin // graph with identical arrays (only the uid differs, so the check is by identity, not by shape): -// the evaluators' Eligibility and DagCache checks, and a Path's DAG (to_dag keeps the Path's +// the evaluators' Eligibility and ShortestPathCache checks, and a Path's DAG (to_dag keeps the Path's // graph) in resolve_to_paths. The flow core, ledger, policy, KSP, search and cache sites have // their own tests. TEST(GraphLayout, ForeignGraphBoundObjectsAreRejectedAtTheirUseSites) { @@ -819,22 +819,21 @@ TEST(GraphLayout, ForeignGraphBoundObjectsAreRejectedAtTheirUseSites) { const Graph g(4, src, dst, cap, cost, 1.0), twin(4, src, dst, cap, cost, 1.0); ASSERT_NE(g.uid(), twin.uid()); const std::vector s {0}, d {3}; - const FlowPolicyConfig cfg {CostOnly {}, FlowPlacement::MaxFlow, Admission::Lossless, - PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)}; + const FlowPolicyConfig cfg {shortest_paths(RouteAllocation::Optimized), Admission::Lossless}; const Eligibility el = twin.eligibility({}, std::vector {0}); - DagCache cache(twin); + ShortestPathCache cache(twin); const std::string elig_msg = "foreign Eligibility: built for another graph"; - const std::string cache_msg = "foreign DagCache: bound to another graph"; - EXPECT_EQ(error_of([&] { (void)capacity(g, s, d, QueryOptions {cfg, &el}); }), elig_msg); - EXPECT_EQ(error_of([&] { (void)capacity(g, s, d, QueryOptions {cfg, nullptr, &cache}); }), cache_msg); + const std::string cache_msg = "foreign ShortestPathCache: bound to another graph"; + EXPECT_EQ(error_of([&] { (void)evaluate_demand(g, s, d, EvaluationOptions {cfg, &el}); }), elig_msg); + EXPECT_EQ(error_of([&] { (void)evaluate_demand(g, s, d, EvaluationOptions {cfg, nullptr, &cache}); }), cache_msg); const std::vector, std::vector>> pairs {{s, d}}; - EXPECT_EQ(error_of([&] { (void)batch_capacity(g, pairs, QueryOptions {cfg, nullptr, &cache}, {}, 1); }), cache_msg); - EXPECT_EQ(error_of([&] { (void)sensitivity(g, s, d, QueryOptions {cfg, &el}, 1); }), elig_msg); - EXPECT_EQ(error_of([&] { (void)sensitivity(g, s, d, QueryOptions {cfg, nullptr, &cache}, 1); }), cache_msg); + EXPECT_EQ(error_of([&] { (void)evaluate_pairs(g, pairs, EvaluationOptions {cfg, nullptr, &cache}, {}, 1); }), cache_msg); + EXPECT_EQ(error_of([&] { (void)evaluate_edge_failures(g, s, d, EvaluationOptions {cfg, &el}, 1); }), elig_msg); + EXPECT_EQ(error_of([&] { (void)evaluate_edge_failures(g, s, d, EvaluationOptions {cfg, nullptr, &cache}, 1); }), cache_msg); const Path p(twin, {{0}, {2}}); - EXPECT_EQ(error_of([&] { (void)resolve_to_paths(g, p.to_dag(), 0, 3); }), "foreign PredDAG: built for another graph"); + EXPECT_EQ(error_of([&] { (void)resolve_to_paths(g, p.to_dag(), 0, 3); }), "foreign PredecessorDAG: built for another graph"); // The same calls on the owning graph succeed (the controls). - EXPECT_NO_THROW((void)capacity(twin, s, d, QueryOptions {cfg, &el, &cache})); + EXPECT_NO_THROW((void)evaluate_demand(twin, s, d, EvaluationOptions {cfg, &el, &cache})); EXPECT_EQ(resolve_to_paths(twin, p.to_dag(), 0, 3).size(), 1U); } diff --git a/tests/cpp/graph_reference.hpp b/tests/cpp/graph_reference.hpp index dde4ac4..9408e60 100644 --- a/tests/cpp/graph_reference.hpp +++ b/tests/cpp/graph_reference.hpp @@ -27,16 +27,16 @@ namespace netgraph::core::test { struct ReferenceGraph { double resolution {1.0}; std::int32_t num_nodes {0}; - Cost max_cost {0}; - Cost cost_gcd {0}; + Cost max_edge_cost {0}; + Cost edge_cost_gcd {0}; std::vector capacity; std::vector cost; std::vector src; std::vector dst; - std::vector input_index; - std::vector row_offsets; - std::vector in_row_offsets; - std::vector in_adj_edge_index; + std::vector input_positions; + std::vector outgoing_offsets; + std::vector incoming_offsets; + std::vector incoming_edges; }; namespace reference_graph_detail { @@ -59,16 +59,16 @@ inline int resolution_exponent(double q) { inline ReferenceGraph reference_graph(std::int32_t num_nodes, std::span src, std::span dst, - std::span capacity_units, + std::span edge_capacity_units, std::span cost, double resolution) { ReferenceGraph r; (void)reference_graph_detail::resolution_exponent(resolution); // The unit values. - for (std::size_t i = 0; i < capacity_units.size(); ++i) { - const Amount c = capacity_units[i]; + for (std::size_t i = 0; i < edge_capacity_units.size(); ++i) { + const Amount c = edge_capacity_units[i]; if (c < 0 || c >= kDomainLimit) { - throw std::invalid_argument("capacity_units[" + std::to_string(i) + "] = " + std::to_string(c) + + throw std::invalid_argument("edge_capacity_units[" + std::to_string(i) + "] = " + std::to_string(c) + " is outside the units domain [0, 2^62)"); } } @@ -77,26 +77,26 @@ inline ReferenceGraph reference_graph(std::int32_t num_nodes, throw std::invalid_argument("num_nodes must be >= 0 (got " + std::to_string(num_nodes) + ")"); } const std::size_t m = src.size(); - if (dst.size() != m || capacity_units.size() != m || cost.size() != m) { - throw std::invalid_argument("src, dst, capacity_units and cost must have the same length (got " + + if (dst.size() != m || edge_capacity_units.size() != m || cost.size() != m) { + throw std::invalid_argument("edge_sources, edge_destinations, edge_capacity_units and edge_costs must have the same length (got " + std::to_string(src.size()) + ", " + std::to_string(dst.size()) + ", " + - std::to_string(capacity_units.size()) + ", " + + std::to_string(edge_capacity_units.size()) + ", " + std::to_string(cost.size()) + ")"); } if (m > static_cast(std::numeric_limits::max())) { throw std::invalid_argument("the number of edges exceeds INT32_MAX (array length)"); } // Zero or negative costs. - Cost max_cost = 0; - Cost cost_gcd = 0; + Cost max_edge_cost = 0; + Cost edge_cost_gcd = 0; for (std::size_t i = 0; i < m; ++i) { if (cost[i] < 1) { - throw std::invalid_argument("cost[" + std::to_string(i) + "] = " + std::to_string(cost[i]) + - ": costs must be positive (cost >= 1)"); + throw std::invalid_argument("edge_costs[" + std::to_string(i) + "] = " + std::to_string(cost[i]) + + ": costs must be positive (edge_costs >= 1)"); } - max_cost = std::max(max_cost, cost[i]); + max_edge_cost = std::max(max_edge_cost, cost[i]); // A running GCD of 1 stays 1 (gcd(1, c) = 1): the remaining edges are only checked. - if (cost_gcd != 1) cost_gcd = std::gcd(cost_gcd, cost[i]); + if (edge_cost_gcd != 1) edge_cost_gcd = std::gcd(edge_cost_gcd, cost[i]); } // The remaining bounds. for (std::size_t i = 0; i < m; ++i) { @@ -110,7 +110,7 @@ inline ReferenceGraph reference_graph(std::int32_t num_nodes, std::uint64_t cap_sum = 0; std::uint64_t cost_sum = 0; for (std::size_t i = 0; i < m; ++i) { - cap_sum += static_cast(capacity_units[i]); // each < 2^62: no wrap before the check + cap_sum += static_cast(edge_capacity_units[i]); // each < 2^62: no wrap before the check if (cap_sum >= kLimit) { throw std::invalid_argument("the sum of all capacities reaches the bound of the units domain (2^62 units)"); } @@ -123,25 +123,25 @@ inline ReferenceGraph reference_graph(std::int32_t num_nodes, r.resolution = resolution; r.num_nodes = num_nodes; - r.max_cost = max_cost; - r.cost_gcd = cost_gcd; + r.max_edge_cost = max_edge_cost; + r.edge_cost_gcd = edge_cost_gcd; const auto n = static_cast(num_nodes); // Ids: rank in (src, cost, dst, input). - r.row_offsets.assign(n + 1, 0); - for (std::size_t i = 0; i < m; ++i) ++r.row_offsets[static_cast(src[i]) + 1]; - for (std::size_t u = 0; u < n; ++u) r.row_offsets[u + 1] += r.row_offsets[u]; - r.input_index.resize(m); + r.outgoing_offsets.assign(n + 1, 0); + for (std::size_t i = 0; i < m; ++i) ++r.outgoing_offsets[static_cast(src[i]) + 1]; + for (std::size_t u = 0; u < n; ++u) r.outgoing_offsets[u + 1] += r.outgoing_offsets[u]; + r.input_positions.resize(m); { - std::vector cursor(r.row_offsets.begin(), r.row_offsets.end() - 1); + std::vector cursor(r.outgoing_offsets.begin(), r.outgoing_offsets.end() - 1); for (std::size_t i = 0; i < m; ++i) { - r.input_index[static_cast(cursor[static_cast(src[i])]++)] = + r.input_positions[static_cast(cursor[static_cast(src[i])]++)] = static_cast(i); } } for (std::size_t u = 0; u < n; ++u) { - auto first = r.input_index.begin() + r.row_offsets[u]; - auto last = r.input_index.begin() + r.row_offsets[u + 1]; + auto first = r.input_positions.begin() + r.outgoing_offsets[u]; + auto last = r.input_positions.begin() + r.outgoing_offsets[u + 1]; if (last - first < 2) continue; std::sort(first, last, [&](std::int32_t a, std::int32_t b) { const auto ia = static_cast(a); @@ -156,28 +156,28 @@ inline ReferenceGraph reference_graph(std::int32_t num_nodes, r.src.resize(m); r.dst.resize(m); for (std::size_t e = 0; e < m; ++e) { - const auto i = static_cast(r.input_index[e]); - r.capacity[e] = capacity_units[i]; + const auto i = static_cast(r.input_positions[e]); + r.capacity[e] = edge_capacity_units[i]; r.cost[e] = cost[i]; r.src[e] = src[i]; r.dst[e] = dst[i]; } // Reverse CSR in (cost, src, input) order. - r.in_row_offsets.assign(n + 1, 0); - for (std::size_t e = 0; e < m; ++e) ++r.in_row_offsets[static_cast(r.dst[e]) + 1]; - for (std::size_t v = 0; v < n; ++v) r.in_row_offsets[v + 1] += r.in_row_offsets[v]; - r.in_adj_edge_index.resize(m); + r.incoming_offsets.assign(n + 1, 0); + for (std::size_t e = 0; e < m; ++e) ++r.incoming_offsets[static_cast(r.dst[e]) + 1]; + for (std::size_t v = 0; v < n; ++v) r.incoming_offsets[v + 1] += r.incoming_offsets[v]; + r.incoming_edges.resize(m); { - std::vector cursor(r.in_row_offsets.begin(), r.in_row_offsets.end() - 1); + std::vector cursor(r.incoming_offsets.begin(), r.incoming_offsets.end() - 1); for (std::size_t e = 0; e < m; ++e) { - r.in_adj_edge_index[static_cast(cursor[static_cast(r.dst[e])]++)] = + r.incoming_edges[static_cast(cursor[static_cast(r.dst[e])]++)] = static_cast(e); } } for (std::size_t v = 0; v < n; ++v) { - auto first = r.in_adj_edge_index.begin() + r.in_row_offsets[v]; - auto last = r.in_adj_edge_index.begin() + r.in_row_offsets[v + 1]; + auto first = r.incoming_edges.begin() + r.incoming_offsets[v]; + auto last = r.incoming_edges.begin() + r.incoming_offsets[v + 1]; if (last - first < 2) continue; std::sort(first, last, [&](EdgeId a, EdgeId b) { const auto ia = static_cast(a); @@ -193,8 +193,8 @@ inline ReferenceGraph reference_graph(std::int32_t num_nodes, // The internal reverse-source column the current graph stores, derived from the reference (it has no // stored copy): edge_src[in_adj_edge_index[slot]]. inline std::vector reference_in_col_indices(const ReferenceGraph& r) { - std::vector out(r.in_adj_edge_index.size()); - for (std::size_t s = 0; s < out.size(); ++s) out[s] = r.src[static_cast(r.in_adj_edge_index[s])]; + std::vector out(r.incoming_edges.size()); + for (std::size_t s = 0; s < out.size(); ++s) out[s] = r.src[static_cast(r.incoming_edges[s])]; return out; } diff --git a/tests/cpp/graph_tests.cpp b/tests/cpp/graph_tests.cpp index 07ed0a2..f929c07 100644 --- a/tests/cpp/graph_tests.cpp +++ b/tests/cpp/graph_tests.cpp @@ -1,5 +1,5 @@ // The graph on integer units: construction, validation order, the EdgeId order -// (src, cost, dst, input), the reverse CSR, input_index, to_units and as_float. +// (source, cost, destination, input), the reverse CSR, input_positions, to_units and as_float. #include #include @@ -41,84 +41,84 @@ TEST(Graph, EdgeIdOrderInputIndexAndReverseCsr) { const auto& y = edges[static_cast(b)]; return std::tie(x.u, x.cost, x.v) < std::tie(y.u, y.cost, y.v); }); - EXPECT_EQ(std::vector(g.input_index().begin(), g.input_index().end()), expect); + EXPECT_EQ(std::vector(g.input_positions().begin(), g.input_positions().end()), expect); EXPECT_EQ(expect, (std::vector{5, 2, 4, 1, 3, 6, 0})); - EXPECT_EQ(std::vector(g.row_offsets().begin(), g.row_offsets().end()), + EXPECT_EQ(std::vector(g.outgoing_offsets().begin(), g.outgoing_offsets().end()), (std::vector{0, 4, 5, 7})); - // Every per-edge array is the input array permuted by input_index. + // Every per-edge array is the input array permuted by input_positions. for (std::size_t e = 0; e < edges.size(); ++e) { - const auto& in = edges[static_cast(g.input_index()[e])]; - EXPECT_EQ(g.edge_src()[e], in.u); - EXPECT_EQ(g.edge_dst()[e], in.v); - EXPECT_EQ(g.capacity_units()[e], in.cap); - EXPECT_EQ(g.cost()[e], in.cost); + const auto& in = edges[static_cast(g.input_positions()[e])]; + EXPECT_EQ(g.edge_sources()[e], in.u); + EXPECT_EQ(g.edge_destinations()[e], in.v); + EXPECT_EQ(g.edge_capacity_units()[e], in.cap); + EXPECT_EQ(g.edge_costs()[e], in.cost); } - // Row u's id range holds u's out-edges (their (cost, dst, input) order within the row is the - // input_index checked above). + // Row u's id range holds u's out-edges (their (cost, destination, input) order within the row is the + // input_positions checked above). for (NodeId u = 0; u < 3; ++u) { - for (auto e = g.row_offsets()[u]; e < g.row_offsets()[u + 1]; ++e) { - EXPECT_EQ(g.edge_src()[static_cast(e)], u); + for (auto e = g.outgoing_offsets()[u]; e < g.outgoing_offsets()[u + 1]; ++e) { + EXPECT_EQ(g.edge_sources()[static_cast(e)], u); } } // The inverse map from input positions to EdgeIds, derived by hand from the order above. EXPECT_EQ(id_of_input(g), (std::vector {6, 3, 1, 4, 2, 0, 5})); std::vector caps_in; for (const auto& e : edges) caps_in.push_back(e.cap); - EXPECT_EQ(to_input(g, g.capacity_units()), caps_in); - // Reverse CSR in (cost, src, input) order per destination, as input positions. + EXPECT_EQ(to_input(g, g.edge_capacity_units()), caps_in); + // Reverse CSR in (cost, source, input) order per destination, as input positions. const std::vector> expect_rev = {{0}, {6, 2, 4}, {5, 3, 1}}; for (NodeId v = 0; v < 3; ++v) { std::vector got; - for (auto s = g.in_row_offsets()[v]; s < g.in_row_offsets()[v + 1]; ++s) { - const EdgeId e = g.in_adj_edge_index()[static_cast(s)]; - EXPECT_EQ(g.edge_dst()[static_cast(e)], v); - got.push_back(g.input_index()[static_cast(e)]); + for (auto s = g.incoming_offsets()[v]; s < g.incoming_offsets()[v + 1]; ++s) { + const EdgeId e = g.incoming_edges()[static_cast(s)]; + EXPECT_EQ(g.edge_destinations()[static_cast(e)], v); + got.push_back(g.input_positions()[static_cast(e)]); } EXPECT_EQ(got, expect_rev[static_cast(v)]) << "node " << v; } } TEST(Graph, EqualKeysKeepInputOrder) { - // Parallel edges with equal (src, cost, dst) are ranked by input position, in both CSRs. + // Parallel edges with equal (source, cost, destination) are ranked by input position, in both CSRs. auto g = make_graph(3, {{0, 1, 4, 2}, {1, 2, 1, 1}, {0, 1, 7, 2}, {0, 1, 5, 1}, {2, 1, 3, 2}, {0, 1, 9, 2}}); - EXPECT_EQ(std::vector(g.input_index().begin(), g.input_index().end()), + EXPECT_EQ(std::vector(g.input_positions().begin(), g.input_positions().end()), (std::vector{3, 0, 2, 5, 1, 4})); std::vector rev; - for (auto s = g.in_row_offsets()[1]; s < g.in_row_offsets()[2]; ++s) { - rev.push_back(g.input_index()[static_cast(g.in_adj_edge_index()[static_cast(s)])]); + for (auto s = g.incoming_offsets()[1]; s < g.incoming_offsets()[2]; ++s) { + rev.push_back(g.input_positions()[static_cast(g.incoming_edges()[static_cast(s)])]); } - // (cost, src, input): cost 1 from 0 (input 3), then cost 2 from 0 (inputs 0, 2, 5), then from 2. + // (cost, source, input): cost 1 from 0 (input 3), then cost 2 from 0 (inputs 0, 2, 5), then from 2. EXPECT_EQ(rev, (std::vector{3, 0, 2, 5, 4})); } TEST(Graph, ReverseOrderIsCostThenSource) { - // A scan in id order would give (src, cost, input); the reverse order is (cost, src, input). + // A scan in id order would give (source, cost, input); the reverse order is (cost, source, input). auto g = make_graph(3, {{0, 2, 1, 5}, {1, 2, 1, 1}}); - ASSERT_EQ(g.in_row_offsets()[2], 0); - const EdgeId first = g.in_adj_edge_index()[0]; - EXPECT_EQ(g.input_index()[static_cast(first)], 1); + ASSERT_EQ(g.incoming_offsets()[2], 0); + const EdgeId first = g.incoming_edges()[0]; + EXPECT_EQ(g.input_positions()[static_cast(first)], 1); } TEST(Graph, ShapesOfEmptyAndIsolated) { auto empty = build(0, {}, {}, {}, {}); EXPECT_EQ(empty.num_nodes(), 0); EXPECT_EQ(empty.num_edges(), 0); - EXPECT_EQ(std::vector(empty.row_offsets().begin(), empty.row_offsets().end()), + EXPECT_EQ(std::vector(empty.outgoing_offsets().begin(), empty.outgoing_offsets().end()), (std::vector{0})); - EXPECT_EQ(std::vector(empty.in_row_offsets().begin(), empty.in_row_offsets().end()), + EXPECT_EQ(std::vector(empty.incoming_offsets().begin(), empty.incoming_offsets().end()), (std::vector{0})); - EXPECT_EQ(empty.max_cost(), 0); - EXPECT_EQ(empty.cost_gcd(), 0); + EXPECT_EQ(empty.max_edge_cost(), 0); + EXPECT_EQ(empty.edge_cost_gcd(), 0); auto isolated = build(4, {}, {}, {}, {}); - EXPECT_EQ(std::vector(isolated.row_offsets().begin(), isolated.row_offsets().end()), + EXPECT_EQ(std::vector(isolated.outgoing_offsets().begin(), isolated.outgoing_offsets().end()), (std::vector{0, 0, 0, 0, 0})); auto g = make_graph(5, {{3, 1, 1, 6}, {1, 3, 1, 4}, {3, 3, 2, 10}}); - EXPECT_EQ(std::vector(g.row_offsets().begin(), g.row_offsets().end()), + EXPECT_EQ(std::vector(g.outgoing_offsets().begin(), g.outgoing_offsets().end()), (std::vector{0, 0, 1, 1, 3, 3})); - EXPECT_EQ(std::vector(g.in_row_offsets().begin(), g.in_row_offsets().end()), + EXPECT_EQ(std::vector(g.incoming_offsets().begin(), g.incoming_offsets().end()), (std::vector{0, 0, 1, 1, 3, 3})); - EXPECT_EQ(g.max_cost(), 10); - EXPECT_EQ(g.cost_gcd(), 2); + EXPECT_EQ(g.max_edge_cost(), 10); + EXPECT_EQ(g.edge_cost_gcd(), 2); } // The cost loop after the running GCD reaches 1: every later edge is still checked for a @@ -127,22 +127,22 @@ TEST(Graph, ShapesOfEmptyAndIsolated) { TEST(Graph, CostChecksAndMaximumAfterTheGcdReachesOne) { // The GCD is 1 from the second edge on; the maximum comes later. auto g = build(2, {0, 0, 0, 0}, {1, 1, 1, 1}, {1, 1, 1, 1}, {3, 2, 9, 4}); - EXPECT_EQ(g.cost_gcd(), 1); - EXPECT_EQ(g.max_cost(), 9); + EXPECT_EQ(g.edge_cost_gcd(), 1); + EXPECT_EQ(g.max_edge_cost(), 9); auto late = build(2, {0, 0, 0}, {1, 1, 1}, {1, 1, 1}, {4, 6, 9}); - EXPECT_EQ(late.cost_gcd(), 1); // 1 only at the last edge - EXPECT_EQ(late.max_cost(), 9); + EXPECT_EQ(late.edge_cost_gcd(), 1); // 1 only at the last edge + EXPECT_EQ(late.max_edge_cost(), 9); auto ones = build(2, {0, 0, 0}, {1, 1, 1}, {1, 1, 1}, {1, 1, kL62 / 4}); - EXPECT_EQ(ones.cost_gcd(), 1); - EXPECT_EQ(ones.max_cost(), kL62 / 4); - EXPECT_EQ(build(2, {0}, {1}, {1}, {6}).cost_gcd(), 6); - EXPECT_EQ(build(2, {0, 0}, {1, 1}, {1, 1}, {6, 4}).cost_gcd(), 2); - EXPECT_EQ(build(0, {}, {}, {}, {}).cost_gcd(), 0); + EXPECT_EQ(ones.edge_cost_gcd(), 1); + EXPECT_EQ(ones.max_edge_cost(), kL62 / 4); + EXPECT_EQ(build(2, {0}, {1}, {1}, {6}).edge_cost_gcd(), 6); + EXPECT_EQ(build(2, {0, 0}, {1, 1}, {1, 1}, {6, 4}).edge_cost_gcd(), 2); + EXPECT_EQ(build(0, {}, {}, {}, {}).edge_cost_gcd(), 0); // A non-positive cost after the GCD reached 1 is still found, at its own index. const auto zero = error_of([] { (void)build(2, {0, 0, 0}, {1, 1, 1}, {1, 1, 1}, {2, 3, 0}); }); - EXPECT_TRUE(contains(zero, "cost[2] = 0")) << zero; + EXPECT_TRUE(contains(zero, "edge_costs[2] = 0")) << zero; const auto negative = error_of([] { (void)build(2, {0, 0, 0, 0}, {1, 1, 1, 1}, {1, 1, 1, 1}, {1, 5, -7, 0}); }); - EXPECT_TRUE(contains(negative, "cost[2] = -7")) << negative; + EXPECT_TRUE(contains(negative, "edge_costs[2] = -7")) << negative; // The cost sum after the GCD reached 1. EXPECT_TRUE(contains(error_of([] { (void)build(2, {0, 0, 0}, {1, 1, 1}, {1, 1, 1}, {1, kL62 / 2, kL62 / 2}); }), "sum of all edge costs")); @@ -165,20 +165,20 @@ TEST(Graph, Resolution) { TEST(Graph, EveryValidationError) { // The unit values. EXPECT_EQ(error_of([] { (void)build(2, {0}, {1}, {-1}, {1}); }), - "capacity_units[0] = -1 is outside the units domain [0, 2^62)"); + "edge_capacity_units[0] = -1 is outside the units domain [0, 2^62)"); EXPECT_EQ(error_of([] { (void)build(2, {0}, {1}, {kL62}, {1}); }), - "capacity_units[0] = 4611686018427387904 is outside the units domain [0, 2^62)"); + "edge_capacity_units[0] = 4611686018427387904 is outside the units domain [0, 2^62)"); // The shapes. EXPECT_EQ(error_of([] { (void)build(-1, {}, {}, {}, {}); }), "num_nodes must be >= 0 (got -1)"); EXPECT_EQ(error_of([] { (void)build(2, {0, 1}, {1}, {1}, {1}); }), - "src, dst, capacity_units and cost must have the same length (got 2, 1, 1, 1)"); + "edge_sources, edge_destinations, edge_capacity_units and edge_costs must have the same length (got 2, 1, 1, 1)"); EXPECT_EQ(error_of([] { (void)build(2, {0}, {1}, {1, 2}, {1}); }), - "src, dst, capacity_units and cost must have the same length (got 1, 1, 2, 1)"); + "edge_sources, edge_destinations, edge_capacity_units and edge_costs must have the same length (got 1, 1, 2, 1)"); EXPECT_EQ(error_of([] { (void)build(2, {0}, {1}, {1}, {}); }), - "src, dst, capacity_units and cost must have the same length (got 1, 1, 1, 0)"); + "edge_sources, edge_destinations, edge_capacity_units and edge_costs must have the same length (got 1, 1, 1, 0)"); // Zero and negative costs. - EXPECT_EQ(error_of([] { (void)build(2, {0}, {1}, {1}, {0}); }), "cost[0] = 0: costs must be positive (cost >= 1)"); - EXPECT_EQ(error_of([] { (void)build(2, {0}, {1}, {1}, {-5}); }), "cost[0] = -5: costs must be positive (cost >= 1)"); + EXPECT_EQ(error_of([] { (void)build(2, {0}, {1}, {1}, {0}); }), "edge_costs[0] = 0: costs must be positive (edge_costs >= 1)"); + EXPECT_EQ(error_of([] { (void)build(2, {0}, {1}, {1}, {-5}); }), "edge_costs[0] = -5: costs must be positive (edge_costs >= 1)"); // The remaining bounds. EXPECT_EQ(error_of([] { (void)build(2, {2}, {1}, {1}, {1}); }), "edge 0: endpoint (2, 1) out of node range [0, 2)"); EXPECT_EQ(error_of([] { (void)build(2, {0}, {-1}, {1}, {1}); }), "edge 0: endpoint (0, -1) out of node range [0, 2)"); @@ -188,11 +188,11 @@ TEST(Graph, EveryValidationError) { "the sum of all edge costs reaches the bound 2^62: path costs would overflow int64"); // Just below the bounds is accepted. auto caps = build(2, {0, 0}, {1, 1}, {kL62 / 2, kL62 / 2 - 1}, {1, 1}); - EXPECT_EQ(caps.capacity_units()[0] + caps.capacity_units()[1], kL62 - 1); + EXPECT_EQ(caps.edge_capacity_units()[0] + caps.edge_capacity_units()[1], kL62 - 1); auto costs = build(2, {0, 0}, {1, 1}, {1, 1}, {kL62 / 2, kL62 / 2 - 1}); - EXPECT_EQ(costs.max_cost(), kL62 / 2); + EXPECT_EQ(costs.max_edge_cost(), kL62 / 2); auto huge_cost = build(2, {0}, {1}, {1}, {kL62 - 1}); - EXPECT_EQ(huge_cost.max_cost(), kL62 - 1); + EXPECT_EQ(huge_cost.max_edge_cost(), kL62 - 1); EXPECT_EQ(error_of([] { (void)build(2, {0}, {1}, {1}, {std::numeric_limits::max()}); }), "the sum of all edge costs reaches the bound 2^62: path costs would overflow int64"); } @@ -201,17 +201,17 @@ TEST(Graph, ValidationOrder) { // Resolution before the unit values. EXPECT_EQ(error_of([] { (void)build(2, {0}, {1}, {-1}, {1}, 3.0); }), "resolution must be a power of two in [2^-32, 2^32]"); - // The unit values before the shapes (the length message names capacity_units too). + // The unit values before the shapes (the length message names edge_capacity_units too). EXPECT_EQ(error_of([] { (void)build(2, {0, 1}, {1}, {-1}, {1}); }), - "capacity_units[0] = -1 is outside the units domain [0, 2^62)"); + "edge_capacity_units[0] = -1 is outside the units domain [0, 2^62)"); // The shapes before the costs. EXPECT_EQ(error_of([] { (void)build(2, {0, 1}, {1}, {1}, {0}); }), - "src, dst, capacity_units and cost must have the same length (got 2, 1, 1, 1)"); + "edge_sources, edge_destinations, edge_capacity_units and edge_costs must have the same length (got 2, 1, 1, 1)"); EXPECT_EQ(error_of([] { (void)build(-1, {0}, {1}, {1}, {0}); }), "num_nodes must be >= 0 (got -1)"); // The costs before the remaining bounds (endpoints, sums). - EXPECT_EQ(error_of([] { (void)build(2, {0}, {5}, {1}, {0}); }), "cost[0] = 0: costs must be positive (cost >= 1)"); + EXPECT_EQ(error_of([] { (void)build(2, {0}, {5}, {1}, {0}); }), "edge_costs[0] = 0: costs must be positive (edge_costs >= 1)"); EXPECT_EQ(error_of([] { (void)build(2, {0, 0}, {1, 1}, {kL62 / 2, kL62 / 2}, {1, 0}); }), - "cost[1] = 0: costs must be positive (cost >= 1)"); + "edge_costs[1] = 0: costs must be positive (edge_costs >= 1)"); // Endpoints before the sums. EXPECT_EQ(error_of([] { (void)build(2, {0, 7}, {1, 1}, {kL62 / 2, kL62 / 2}, {1, 1}); }), "edge 1: endpoint (7, 1) out of node range [0, 2)"); @@ -282,7 +282,7 @@ TEST(Units, RejectedValues) { // The capacity-sum bound at q = 2^-12: [1e15, 1.25e14] fits, [1e15, 1.26e14] exceeds the unit sum. const std::vector ok = {to_units(1e15, q), to_units(1.25e14, q)}; auto g = build(2, {0, 0}, {1, 1}, ok, {1, 1}, q); - EXPECT_EQ(g.capacity_units()[0] + g.capacity_units()[1], ok[0] + ok[1]); + EXPECT_EQ(g.edge_capacity_units()[0] + g.edge_capacity_units()[1], ok[0] + ok[1]); const std::vector over = {to_units(1e15, q), to_units(1.26e14, q)}; EXPECT_EQ(error_of([&] { (void)build(2, {0, 0}, {1, 1}, over, {1, 1}, q); }), "the sum of all capacities reaches the bound of the units domain (2^62 units)"); diff --git a/tests/cpp/ksp_tests.cpp b/tests/cpp/ksp_tests.cpp index 0aa4957..a167291 100644 --- a/tests/cpp/ksp_tests.cpp +++ b/tests/cpp/ksp_tests.cpp @@ -4,7 +4,7 @@ // candidate's bottleneck including its prefix; parallel members under Expand and Collapse; // accepted paths that never return after a shared prefix; zero-capacity edges (searched like any // other; a residual filters them; Headroom 0 on them); the ceilings on -// chain-plus-bypasses and the exact Stretch ceiling at large costs and factors), the defects in the contract order, and agreement with exhaustive +// chain-plus-bypasses and the exact CostStretch ceiling at large costs and factors), the defects in the documented order, and agreement with exhaustive // enumeration (search_reference.hpp) on random graphs; the resolver's order, splitting and // truncation against an enumeration of every walk of a DAG, from either search direction and on // long chains. @@ -21,7 +21,7 @@ #include #include -#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/detail/route_builders.hpp" #include "netgraph/core/search.hpp" #include "search_reference.hpp" #include "test_utils.hpp" @@ -31,12 +31,23 @@ using namespace netgraph::core::test; namespace { -PathSelection sel(bool multi_edge = true, EdgeTieBreak tie = EdgeTieBreak::Deterministic, - EdgePriority prio = EdgePriority::Residual) { - return PathSelection(tie, prio, true, multi_edge); +// The route choice of ksp: parallel_edges and tie_break (always single paths). +struct KspChoice { + bool parallel_edges {true}; + RouteTieBreak tie_break {RouteTieBreak::FewerHops}; +}; +KspChoice sel(bool parallel_edges = true, RouteTieBreak tie = RouteTieBreak::FewerHops) { return {parallel_edges, tie}; } + +// A single-path spf with targets under `tie`. +SpfOptions single_path(Direction dir, RouteTieBreak tie, NodeId target) { + SpfOptions o(dir); + o.tie_break = tie; + o.multipath = false; + o.targets = std::vector {target}; + return o; } -// A graph from rows (u, v, capacity, cost), stable-sorted by (src, cost, dst) first: that is the +// A graph from rows (u, v, capacity, cost), stable-sorted by (source, cost, destination) first: that is the // EdgeId order, so each EdgeId is the row's position in the sorted list. Graph bgraph(std::int32_t n, std::vector rows) { std::stable_sort(rows.begin(), rows.end(), [](const InEdge& a, const InEdge& b) { @@ -45,13 +56,15 @@ Graph bgraph(std::int32_t n, std::vector rows) { return make_graph(n, rows); } -std::vector> run(const Graph& g, NodeId s, NodeId t, std::int64_t k, const PathSelection& s1, +std::vector> run(const Graph& g, NodeId s, NodeId t, std::int64_t k, const KspChoice& s1, std::optional ceiling = std::nullopt, const std::vector* residual = nullptr, const Eligibility* elig = nullptr) { - KspOptions o(k, s1); - o.max_path_cost = ceiling; + KspOptions o(k); + o.tie_break = s1.tie_break; + o.parallel_edges = s1.parallel_edges; + o.cost_ceiling = ceiling; if (residual != nullptr) o.residual = std::span(*residual); - o.elig = elig; + o.eligibility = elig; return ksp(g, s, t, o); } @@ -65,8 +78,8 @@ std::vector walk_of(const Path& p) { } std::vector nodes_of(const Graph& g, const Path& p) { - std::vector out = {p.src()}; - for (const auto& hop : p.hops()) out.push_back(g.edge_dst()[static_cast(hop.front())]); + std::vector out = {p.source()}; + for (const auto& hop : p.hops()) out.push_back(g.edge_destinations()[static_cast(hop.front())]); return out; } @@ -90,15 +103,13 @@ TEST(Ksp, FirstPathIsTheCanonicalSinglePathOfBothDirections) { std::vector want; }; for (const auto& c : {Case {&diamond, 3, {0, 2, 3}}, Case {&three, 5, {0, 1, 4, 5}}}) { - for (auto tie : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { + for (auto tie : {RouteTieBreak::FewerHops, RouteTieBreak::HigherAvailableCapacity}) { auto got = run(*c.g, 0, c.t, 2, sel(true, tie)); ASSERT_EQ(got.size(), 2U); EXPECT_EQ(nodes_of(*c.g, got[0].second), c.want); // The first path is the canonical single path of the forward and the reverse search. - SpfOptions f(Direction::Forward, PathSelection(tie, EdgePriority::Residual, false)); - f.targets = std::vector {c.t}; - SpfOptions r(Direction::Reverse, PathSelection(tie, EdgePriority::Residual, false)); - r.targets = std::vector {0}; + const SpfOptions f = single_path(Direction::Forward, tie, c.t); + const SpfOptions r = single_path(Direction::Reverse, tie, 0); auto fw = spf(*c.g, std::vector {0}, f); auto rv = spf(*c.g, std::vector {c.t}, r); auto w = walk_of(got[0].second); @@ -115,7 +126,7 @@ TEST(Ksp, FirstPathIsTheCanonicalSinglePathOfBothDirections) { TEST(Ksp, WithASharedBottleneckTheFewestHopsComeFirst) { auto g = bgraph(5, {{0, 1, 1, 1}, {1, 4, 1, 3}, {1, 2, 2, 1}, {2, 3, 2, 1}, {3, 4, 2, 1}}); - auto got = run(g, 0, 4, 1, sel(true, EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity)); + auto got = run(g, 0, 4, 1, sel(true, RouteTieBreak::HigherCapacity)); ASSERT_EQ(got.size(), 1U); EXPECT_EQ(nodes_of(g, got[0].second), (std::vector{0, 1, 4})); } @@ -124,7 +135,7 @@ TEST(Ksp, PrefixCappedSpurOrder) { // After 0-1-4 the spur at 1 takes 1-5-4 (bottleneck 1, the prefix's) before 1-2-3-4: with the // spur's B* capped by the prefix, the 3-hop path comes second (uncapped it would come third). auto g = bgraph(6, {{0, 1, 1, 1}, {1, 4, 1, 3}, {1, 5, 1, 1}, {5, 4, 1, 2}, {1, 2, 2, 1}, {2, 3, 2, 1}, {3, 4, 2, 1}}); - auto got = run(g, 0, 4, 3, sel(true, EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity)); + auto got = run(g, 0, 4, 3, sel(true, RouteTieBreak::HigherCapacity)); ASSERT_EQ(got.size(), 3U); EXPECT_EQ(nodes_of(g, got[0].second), (std::vector{0, 1, 4})); EXPECT_EQ(nodes_of(g, got[1].second), (std::vector{0, 1, 5, 4})); @@ -134,17 +145,17 @@ TEST(Ksp, PrefixCappedSpurOrder) { TEST(Ksp, CandidateBottleneckIncludesThePrefix) { // The first path 0-1-3 (cost 2) has bottleneck 1 (edge 0-1). Its deviations cost 3: at 0, // 0-2-3 (bottleneck 5); at 1, the prefix 0-1 then the second 1-3 edge (the spur alone has - // bottleneck 10, the candidate min(1, 10) = 1). PreferHigherPriority orders 0-2-3 first; a + // bottleneck 10, the candidate min(1, 10) = 1). HIGHER_CAPACITY orders 0-2-3 first; a // candidate keyed by its spur's bottleneck alone would put the prefix's deviation first. - // Deterministic orders the two by EdgeIds: 0-1-3 (ids 0, 3) before 0-2-3 (ids 1, 4). + // FEWER_HOPS orders the two by EdgeIds: 0-1-3 (ids 0, 3) before 0-2-3 (ids 1, 4). auto g = bgraph(4, {{0, 1, 1, 1}, {1, 3, 10, 1}, {0, 2, 5, 1}, {2, 3, 5, 2}, {1, 3, 10, 2}}); - auto prefer = run(g, 0, 3, 8, sel(true, EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity)); + auto prefer = run(g, 0, 3, 8, sel(true, RouteTieBreak::HigherCapacity)); ASSERT_EQ(costs_of(prefer), (std::vector {2, 3, 3})); EXPECT_EQ(nodes_of(g, prefer[0].second), (std::vector {0, 1, 3})); EXPECT_EQ(nodes_of(g, prefer[1].second), (std::vector {0, 2, 3})); EXPECT_EQ(nodes_of(g, prefer[2].second), (std::vector {0, 1, 3})); EXPECT_EQ(walk_of(prefer[2].second), (std::vector {0, 3})); - auto det = run(g, 0, 3, 8, sel(true, EdgeTieBreak::Deterministic, EdgePriority::Capacity)); + auto det = run(g, 0, 3, 8, sel(true, RouteTieBreak::FewerHops)); ASSERT_EQ(costs_of(det), (std::vector {2, 3, 3})); EXPECT_EQ(walk_of(det[1].second), (std::vector {0, 3})); EXPECT_EQ(walk_of(det[2].second), (std::vector {1, 4})); @@ -209,27 +220,26 @@ TEST(Ksp, EndpointDefectsReportTheFirstInOrder) { auto foreign = other.eligibility({}, std::vector {0}); const std::vector bad = {1, 2}; const auto all_wrong = [&](NodeId s, NodeId t) { - return error_of([&] { (void)run(g, s, t, 0, sel(), Absolute {-1}, &bad, &foreign); }); + return error_of([&] { (void)run(g, s, t, 0, sel(), AbsoluteCost {-1}, &bad, &foreign); }); }; - EXPECT_EQ(all_wrong(5, -1), "src: node 5 out of node range [0, 3)"); - EXPECT_EQ(all_wrong(-1, -1), "src: node -1 out of node range [0, 3)"); - EXPECT_EQ(all_wrong(3, 3), "src: node 3 out of node range [0, 3)"); // range before the overlap - EXPECT_EQ(all_wrong(0, 3), "dst: node 3 out of node range [0, 3)"); - EXPECT_EQ(all_wrong(2, -4), "dst: node -4 out of node range [0, 3)"); - EXPECT_EQ(all_wrong(1, 1), "node 1 is in both endpoint sets: src and dst must not overlap"); + EXPECT_EQ(all_wrong(5, -1), "source: node 5 out of node range [0, 3)"); + EXPECT_EQ(all_wrong(-1, -1), "source: node -1 out of node range [0, 3)"); + EXPECT_EQ(all_wrong(3, 3), "source: node 3 out of node range [0, 3)"); // range before the overlap + EXPECT_EQ(all_wrong(0, 3), "destination: node 3 out of node range [0, 3)"); + EXPECT_EQ(all_wrong(2, -4), "destination: node -4 out of node range [0, 3)"); + EXPECT_EQ(all_wrong(1, 1), "node 1 is in both endpoint sets: source and destination must not overlap"); EXPECT_EQ(all_wrong(0, 2), "k must be >= 1 (got 0)"); - PathSelection selection = sel(); - selection.priority = static_cast(9); - EXPECT_EQ(error_of([&] { (void)ksp(g, 7, 7, KspOptions(0, selection)); }), - "selection.priority: 9 is not a value of EdgePriority"); - const auto dag = detail::PredDAGBuilder::of_edges(g, std::vector {0, 1}); - const auto dag_other = detail::PredDAGBuilder::of_edges(other, std::vector {0}); - EXPECT_EQ(error_of([&] { (void)resolve_to_paths(g, dag_other, 9, 9, false, 0); }), "foreign PredDAG: built for another graph"); - EXPECT_EQ(error_of([&] { (void)resolve_to_paths(g, dag, 9, -9, false, 0); }), "src: node 9 out of node range [0, 3)"); - EXPECT_EQ(error_of([&] { (void)resolve_to_paths(g, dag, 3, 3, false, 0); }), "src: node 3 out of node range [0, 3)"); - EXPECT_EQ(error_of([&] { (void)resolve_to_paths(g, dag, 0, 3, false, 0); }), "dst: node 3 out of node range [0, 3)"); + KspOptions bad_tie(0); + bad_tie.tie_break = static_cast(9); + EXPECT_EQ(error_of([&] { (void)ksp(g, 7, 7, bad_tie); }), "tie_break: 9 is not a value of RouteTieBreak"); + const auto dag = detail::PredecessorDAGBuilder::of_edges(g, std::vector {0, 1}); + const auto dag_other = detail::PredecessorDAGBuilder::of_edges(other, std::vector {0}); + EXPECT_EQ(error_of([&] { (void)resolve_to_paths(g, dag_other, 9, 9, false, 0); }), "foreign PredecessorDAG: built for another graph"); + EXPECT_EQ(error_of([&] { (void)resolve_to_paths(g, dag, 9, -9, false, 0); }), "source: node 9 out of node range [0, 3)"); + EXPECT_EQ(error_of([&] { (void)resolve_to_paths(g, dag, 3, 3, false, 0); }), "source: node 3 out of node range [0, 3)"); + EXPECT_EQ(error_of([&] { (void)resolve_to_paths(g, dag, 0, 3, false, 0); }), "destination: node 3 out of node range [0, 3)"); EXPECT_EQ(error_of([&] { (void)resolve_to_paths(g, dag, 2, 2, false, 0); }), - "node 2 is in both endpoint sets: src and dst must not overlap"); + "node 2 is in both endpoint sets: source and destination must not overlap"); EXPECT_EQ(error_of([&] { (void)resolve_to_paths(g, dag, 0, 2, false, 0); }), "max_paths must be >= 1 (got 0)"); // Valid endpoints at both ends of the range. EXPECT_EQ(run(g, 0, 2, 1, sel()).size(), 1U); @@ -240,7 +250,7 @@ TEST(Ksp, EndpointDefectsReportTheFirstInOrder) { TEST(Ksp, ZeroCapacityEdgesAreSearchedAndOnlyAResidualFiltersThem) { // Ids: 0: 0->1, 1: 0->2 (cost 1), 2: 0->3 cap 0, 3: 0->3 cap 1 (cost 2), 4: 1->3, 5: 2->3 (cost 1). auto g = bgraph(4, {{0, 1, 1, 1}, {1, 3, 1, 1}, {0, 2, 1, 1}, {2, 3, 1, 1}, {0, 3, 0, 2}, {0, 3, 1, 2}}); - ASSERT_EQ(g.capacity_units()[2], 0); + ASSERT_EQ(g.edge_capacity_units()[2], 0); auto walks = [](const std::vector>& r) { std::vector> out; for (const auto& [c, p] : r) out.push_back(walk_of(p)); @@ -257,7 +267,7 @@ TEST(Ksp, ZeroCapacityEdgesAreSearchedAndOnlyAResidualFiltersThem) { auto el = g.eligibility({}, zero); const std::vector> without = {{3}, {0, 4}, {1, 5}}; EXPECT_EQ(walks(run(g, 0, 3, 8, sel(), std::nullopt, nullptr, &el)), without); - const std::vector full(g.capacity_units().begin(), g.capacity_units().end()); + const std::vector full(g.edge_capacity_units().begin(), g.edge_capacity_units().end()); EXPECT_EQ(walks(run(g, 0, 3, 8, sel(), std::nullopt, &full)), without); } @@ -275,23 +285,23 @@ TEST(Ksp, ZeroEdgeExamplesOfTheContract) { ASSERT_EQ(gated.size(), 1U); EXPECT_EQ(costs_of(gated), (std::vector{2})); EXPECT_EQ(walk_of(gated[0].second), (std::vector{1, 2})); - // The ceiling Stretch(1.2): ids 0: 0->1 cap 0 cost 5, 1: 0->1 cap 1 cost 6. The static - // baseline counts the zero-capacity edge: 5; the double 1.2 is 5404319552844595 / 2^52, so - // 1.2 * 5 is just below 6 and only the cost-5 walk fits. + // The ceiling CostStretch(6/5): ids 0: 0->1 cap 0 cost 5, 1: 0->1 cap 1 cost 6. The static + // baseline counts the zero-capacity edge: 5; 6 * 5 <= 6 * 5 exactly, so both walks fit (the + // binary value of the float 1.2 would keep only the first); at 11/10 the cost-6 walk does not. auto h = bgraph(2, {{0, 1, 0, 5}, {0, 1, 1, 6}}); - auto ceiled = run(h, 0, 1, 2, sel(), Stretch {1.2}); + EXPECT_EQ(costs_of(run(h, 0, 1, 2, sel(), CostStretch(6, 5))), (std::vector{5, 6})); + auto ceiled = run(h, 0, 1, 2, sel(), CostStretch(11, 10)); ASSERT_EQ(ceiled.size(), 1U); EXPECT_EQ(costs_of(ceiled), (std::vector{5})); EXPECT_EQ(walk_of(ceiled[0].second), (std::vector{0})); - EXPECT_EQ(costs_of(run(h, 0, 1, 2, sel(), Stretch {1.2 + 1e-9})), (std::vector{5, 6})); } TEST(Ksp, HeadroomWithoutAResidualReadsOneOrZero) { // Two equal-cost walks: [0, 2] over 0->1 (cap 0) and 1->3, [1, 3] over 0->2 and 2->3 (cap 5). // HEADROOM without a residual reads capacity / capacity: 0 on the zero-capacity edge, else 1. - // PREFER_HIGHER_PRIORITY ranks the bottleneck-1 walk first; DETERMINISTIC the EdgeId order. + // HIGHER_HEADROOM ranks the bottleneck-1 walk first; FEWER_HOPS the EdgeId order. auto g = bgraph(4, {{0, 1, 0, 1}, {0, 2, 5, 1}, {1, 3, 5, 1}, {2, 3, 5, 1}}); - const auto head = PathSelection(EdgeTieBreak::PreferHigherPriority, EdgePriority::Headroom); + const auto head = sel(true, RouteTieBreak::HigherHeadroom); auto r = run(g, 0, 3, 2, head); ASSERT_EQ(r.size(), 2U); EXPECT_EQ(walk_of(r[0].second), (std::vector{1, 3})); @@ -303,7 +313,7 @@ TEST(Ksp, HeadroomWithoutAResidualReadsOneOrZero) { // decides (CAPACITY would rank the capacity-5 walk first). auto q = bgraph(4, {{0, 1, 1, 1}, {0, 2, 5, 1}, {1, 3, 1, 1}, {2, 3, 5, 1}}); EXPECT_EQ(walk_of(run(q, 0, 3, 1, head)[0].second), (std::vector{0, 2})); - const auto cap = PathSelection(EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity); + const auto cap = sel(true, RouteTieBreak::HigherCapacity); EXPECT_EQ(walk_of(run(q, 0, 3, 1, cap)[0].second), (std::vector{1, 3})); } @@ -311,47 +321,50 @@ TEST(Ksp, CeilingsOnChainPlusBypasses) { // Chain 0-1-2-3 (cost 3) with bypasses 0->2 and 1->3 (cost 3 each): static baseline 3. auto g = bgraph(4, {{0, 1, 1, 1}, {1, 2, 1, 1}, {2, 3, 1, 1}, {0, 2, 1, 3}, {1, 3, 1, 3}}); EXPECT_EQ(costs_of(run(g, 0, 3, 8, sel())), (std::vector{3, 4, 4})); - EXPECT_EQ(costs_of(run(g, 0, 3, 8, sel(), Stretch {1.0})), (std::vector{3})); - EXPECT_EQ(costs_of(run(g, 0, 3, 8, sel(), Stretch {1.5})), (std::vector{3, 4, 4})); - EXPECT_EQ(costs_of(run(g, 0, 3, 8, sel(), Stretch {1.25})), (std::vector{3})); // 4 > 3.75 - EXPECT_EQ(costs_of(run(g, 0, 3, 8, sel(), Stretch {4.0 / 3.0})), (std::vector{3})); // dyadic 4/3 < 4/3 - EXPECT_EQ(costs_of(run(g, 0, 3, 8, sel(), Absolute {3})), (std::vector{3})); - EXPECT_EQ(costs_of(run(g, 0, 3, 8, sel(), Absolute {4})), (std::vector{3, 4, 4})); - EXPECT_TRUE(run(g, 0, 3, 8, sel(), Absolute {0}).empty()); // a valid empty budget - // The Stretch baseline is static: a residual gating the middle edge removes the cost-3 path but - // not the baseline, so Stretch(1) keeps nothing (the residual paths cost 4). + EXPECT_EQ(costs_of(run(g, 0, 3, 8, sel(), CostStretch(1))), (std::vector{3})); + EXPECT_EQ(costs_of(run(g, 0, 3, 8, sel(), CostStretch(3, 2))), (std::vector{3, 4, 4})); + EXPECT_EQ(costs_of(run(g, 0, 3, 8, sel(), CostStretch(5, 4))), (std::vector{3})); // 4 * 4 > 5 * 3 + EXPECT_EQ(costs_of(run(g, 0, 3, 8, sel(), CostStretch(4, 3))), (std::vector{3, 4, 4})); // 4 * 3 = 4 * 3 + EXPECT_EQ(costs_of(run(g, 0, 3, 8, sel(), AbsoluteCost {3})), (std::vector{3})); + EXPECT_EQ(costs_of(run(g, 0, 3, 8, sel(), AbsoluteCost {4})), (std::vector{3, 4, 4})); + EXPECT_TRUE(run(g, 0, 3, 8, sel(), AbsoluteCost {0}).empty()); // a valid empty budget + // The CostStretch baseline is static: a residual gating the middle edge removes the cost-3 path but + // not the baseline, so CostStretch(1) keeps nothing (the residual paths cost 4). std::vector res(5, 1); const auto inv = id_of_input(g); res[static_cast(inv[2])] = 0; // the middle edge 1 -> 2 - EXPECT_TRUE(run(g, 0, 3, 8, sel(), Stretch {1.0}, &res).empty()); + EXPECT_TRUE(run(g, 0, 3, 8, sel(), CostStretch(1), &res).empty()); EXPECT_EQ(costs_of(run(g, 0, 3, 8, sel(), std::nullopt, &res)), (std::vector{4, 4})); - // No static route under a Stretch ceiling: []. + // No static route under a CostStretch ceiling: []. const std::vector xn = {1, 2}; auto el = g.eligibility(xn, {}); - EXPECT_TRUE(run(g, 0, 3, 8, sel(), Stretch {2.0}, nullptr, &el).empty()); + EXPECT_TRUE(run(g, 0, 3, 8, sel(), CostStretch(2), nullptr, &el).empty()); } -// The Stretch ceiling is exact for costs and factors far past double precision: f = m * 2^x is -// compared as that dyadic rational, the bit lengths before any shift. Paths 0->1 of cost b and -// 0->2->1 of cost b + 1 (b + 2 on the second graph). b = 2^60: b + 1 rounds to b in a double, so -// Stretch(1) admitting both paths would be a double comparison; (1 + 2^-52) * 2^60 = 2^60 + 2^8 -// admits b + 1; m * 2^60 for m = 2^52 + 1 does not fit 64 bits; 2^68 * 2^60 leaves 128 bits, and -// so do the rest, which admit everything. b = 2^52: (1 + 2^-52) * b = b + 1 exactly, admitted, -// while b + 2 is not. +// The CostStretch ceiling is exact where a 64-bit product overflows: cost * d <= n * base in 128 +// bits. Paths 0->1 of cost b and 0->2->1 of cost b + 1 (b + 2 on the second graph). b = 2^60: b + 1 +// rounds to b in a double, so CostStretch(1) admitting both paths would be a double comparison; +// (2^60 + 1) / 2^60 admits b + 1 at equality and (2^61 + 1) / 2^61 does not ((2^60 + 1) * 2^61 = +// 2^121 + 2^61 > 2^121 + 2^60); the largest numerator admits both. b = 2^52: (2^52 + 1) / 2^52 +// admits b + 1, not b + 2. TEST(Ksp, StretchCeilingIsExactForLargeCostsAndFactors) { const Cost big = Cost {1} << 60; auto g = bgraph(3, {{0, 1, 1, big}, {0, 2, 1, 1}, {2, 1, 1, big}}); - const double just_above_one = std::nextafter(1.0, 2.0); // 1 + 2^-52 - EXPECT_EQ(costs_of(run(g, 0, 1, 8, sel(), Stretch {1.0})), (std::vector {big})); - for (const double f : {just_above_one, std::ldexp(1.0, 68), std::ldexp(1.0, 70), std::ldexp(1.0, 1000), 1e308, - std::numeric_limits::max()}) { - EXPECT_EQ(costs_of(run(g, 0, 1, 8, sel(), Stretch {f})), (std::vector {big, big + 1})) << f; - } + EXPECT_EQ(costs_of(run(g, 0, 1, 8, sel(), CostStretch(1))), (std::vector {big})); + EXPECT_EQ(costs_of(run(g, 0, 1, 8, sel(), CostStretch(big + 1, big))), (std::vector {big, big + 1})); + EXPECT_EQ(costs_of(run(g, 0, 1, 8, sel(), CostStretch(2 * big + 1, 2 * big))), (std::vector {big})); + EXPECT_EQ(costs_of(run(g, 0, 1, 8, sel(), CostStretch(std::numeric_limits::max()))), + (std::vector {big, big + 1})); const Cost b52 = Cost {1} << 52; auto h = bgraph(4, {{0, 1, 1, b52}, {0, 2, 1, 1}, {2, 1, 1, b52}, {0, 3, 1, 2}, {3, 1, 1, b52}}); - EXPECT_EQ(costs_of(run(h, 0, 1, 8, sel(), Stretch {1.0})), (std::vector {b52})); - EXPECT_EQ(costs_of(run(h, 0, 1, 8, sel(), Stretch {just_above_one})), (std::vector {b52, b52 + 1})); - EXPECT_EQ(costs_of(run(h, 0, 1, 8, sel(), Stretch {2.0})), (std::vector {b52, b52 + 1, b52 + 2})); + EXPECT_EQ(costs_of(run(h, 0, 1, 8, sel(), CostStretch(1))), (std::vector {b52})); + EXPECT_EQ(costs_of(run(h, 0, 1, 8, sel(), CostStretch(b52 + 1, b52))), (std::vector {b52, b52 + 1})); + EXPECT_EQ(costs_of(run(h, 0, 1, 8, sel(), CostStretch(2))), (std::vector {b52, b52 + 1, b52 + 2})); + // Components at 2^63 - 1 on a cost of 2^62 - 1 (c = c0): the products stay below 2^125. + const Cost top = (Cost {1} << 62) - 1; + constexpr std::int64_t kMax = std::numeric_limits::max(); + EXPECT_EQ(costs_of(run(bgraph(2, {{0, 1, 1, top}}), 0, 1, 1, sel(), CostStretch(kMax, kMax - 1))), + (std::vector {top})); } TEST(Ksp, ValidationInTheContractOrder) { @@ -360,26 +373,28 @@ TEST(Ksp, ValidationInTheContractOrder) { auto foreign = other.eligibility({}, std::vector {0}); const std::vector bad = {1, 2}; // The endpoints and k, alone and with every later argument wrong: the test above. - EXPECT_EQ(error_of([&] { (void)run(g, 0, 2, 1, sel(), Absolute {-1}); }), "max_path_cost Absolute cost must be >= 0 (got -1)"); - EXPECT_EQ(error_of([&] { (void)run(g, 0, 2, 1, sel(), Stretch {0.5}); }), - "max_path_cost Stretch factor must be finite and in [1, inf) (got 0.500000)"); - EXPECT_NE(error_of([&] { (void)run(g, 0, 2, 1, sel(), Stretch {std::nan("")}); }).find("max_path_cost Stretch"), std::string::npos); - EXPECT_NE(error_of([&] { (void)run(g, 0, 2, 1, sel(), Stretch {std::numeric_limits::infinity()}); }).find("max_path_cost Stretch"), std::string::npos); - EXPECT_EQ(error_of([&] { (void)run(g, 0, 2, 1, sel(), std::nullopt, &bad); }), "residual[1] = 2 is outside [0, capacity_units[1] = 1]"); + EXPECT_EQ(error_of([&] { (void)run(g, 0, 2, 1, sel(), AbsoluteCost {-1}); }), "cost_ceiling AbsoluteCost cost must be >= 0 (got -1)"); + EXPECT_EQ(error_of([&] { (void)run(g, 0, 2, 1, sel(), CostStretch(1, 2)); }), + "cost_ceiling CostStretch factor must be >= 1 (got 1/2)"); + EXPECT_EQ(error_of([&] { (void)run(g, 0, 2, 1, sel(), CostStretch(std::numeric_limits::min())); }), + "cost_ceiling CostStretch factor must be >= 1 (got -9223372036854775808/1)"); + EXPECT_EQ(error_of([&] { (void)run(g, 0, 2, 1, sel(), CostStretch(1, 2), &bad); }), + "cost_ceiling CostStretch factor must be >= 1 (got 1/2)"); // before the residual + EXPECT_EQ(error_of([&] { (void)run(g, 0, 2, 1, sel(), std::nullopt, &bad); }), "residual[1] = 2 is outside [0, edge_capacity_units[1] = 1]"); EXPECT_EQ(error_of([&] { (void)run(g, 0, 2, 1, sel(), std::nullopt, nullptr, &foreign); }), "foreign Eligibility: built for another graph"); // Order: the ceiling before the residual (the endpoints before k before the ceiling: the test // above). - EXPECT_EQ(error_of([&] { (void)run(g, 0, 2, 1, sel(), Absolute {-1}, &bad); }), "max_path_cost Absolute cost must be >= 0 (got -1)"); - KspOptions o(1, sel()); - o.selection.tie_break = static_cast(4); - EXPECT_EQ(error_of([&] { (void)ksp(g, 0, 2, o); }), "selection.tie_break: 4 is not a value of EdgeTieBreak"); + EXPECT_EQ(error_of([&] { (void)run(g, 0, 2, 1, sel(), AbsoluteCost {-1}, &bad); }), "cost_ceiling AbsoluteCost cost must be >= 0 (got -1)"); + KspOptions o(1); + o.tie_break = static_cast(4); + EXPECT_EQ(error_of([&] { (void)ksp(g, 0, 2, o); }), "tie_break: 4 is not a value of RouteTieBreak"); // An excluded endpoint, the source or the destination, gives [], never an error. for (const NodeId x : {0, 2}) { const std::vector xn = {x}; auto el = g.eligibility(xn, {}); EXPECT_TRUE(run(g, 0, 2, 3, sel(), std::nullopt, nullptr, &el).empty()) << x; - EXPECT_TRUE(run(g, 0, 2, 3, sel(), Stretch {2.0}, nullptr, &el).empty()) << x; + EXPECT_TRUE(run(g, 0, 2, 3, sel(), CostStretch(2), nullptr, &el).empty()) << x; } } @@ -399,7 +414,7 @@ TEST(Ksp, ResidualDefectsReportTheFirstInOrder) { namespace { -// The reference KSP list: every simple src -> dst path of the member graph sorted by the key, +// The reference KSP list: every simple source -> destination path of the member graph sorted by the key, // truncated at the inclusive ceiling and at k. std::vector> reference_ksp(const Graph& g, const ref::Query& q, NodeId s, NodeId t, std::int64_t k, std::optional ceiling) { @@ -415,22 +430,22 @@ std::vector> reference_ksp(const Graph& g, const ref::Query& // The static baseline: the member graph without the residual, Expand. ref::Query st = q; st.residual = nullptr; - st.multi_edge = true; + st.parallel_edges = true; const auto d = ref::distances(g, ref::members(st), {s}, false); std::vector> out; for (const auto& p : all) { if (static_cast(out.size()) == k) break; Cost c = 0; - for (EdgeId e : p) c += g.cost()[static_cast(e)]; + for (EdgeId e : p) c += g.edge_costs()[static_cast(e)]; if (ceiling.has_value()) { - if (const auto* a = std::get_if(&*ceiling)) { + if (const auto* a = std::get_if(&*ceiling)) { if (c > a->cost) break; } else { const Cost base = d[static_cast(t)]; if (base == ref::kNone) return {}; - // f in {1, 1.25, 1.5, 2}: c <= f * base exactly in quarters. - const auto quarters = static_cast(std::get(*ceiling).factor * 4); - if (static_cast(c) * 4 > static_cast(quarters) * base) break; + // c <= (n / d) * base exactly: c * d <= n * base. + const auto& f = std::get(*ceiling); + if (static_cast(c) * f.denominator() > static_cast(f.numerator()) * base) break; } } out.push_back(p); @@ -442,8 +457,8 @@ std::vector> reference_ksp(const Graph& g, const ref::Query& TEST(Ksp, RandomGraphsAgreeWithExhaustiveEnumeration) { // Random graphs (seed 6006) checked against exhaustive enumeration: parallel members, residuals, - // masks, both tie modes, every priority, Expand and Collapse, k in {1, 3, 8}, Absolute and - // Stretch ceilings; each query again with multipath = false, which ksp ignores. + // masks, every tie_break, Expand and Collapse, k in {1, 3, 8}, AbsoluteCost and CostStretch + // ceilings. std::mt19937 rng(6006); int nonempty = 0; int deep = 0; @@ -464,7 +479,7 @@ TEST(Ksp, RandomGraphsAgreeWithExhaustiveEnumeration) { auto g = make_graph(n, rows); std::vector residual(static_cast(g.num_edges())); for (std::size_t e = 0; e < residual.size(); ++e) { - residual[e] = static_cast(rng() % static_cast(g.capacity_units()[e] + 1)); + residual[e] = static_cast(rng() % static_cast(g.edge_capacity_units()[e] + 1)); } std::vector xn; std::vector xe; @@ -478,25 +493,28 @@ TEST(Ksp, RandomGraphsAgreeWithExhaustiveEnumeration) { for (int c = 0; c < 24; ++c) { const bool use_res = rng() % 2 == 0; const bool masks = rng() % 10 < 3; - const EdgePriority prios[3] = {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}; - const auto s1 = sel(rng() % 2 == 0, rng() % 2 == 0 ? EdgeTieBreak::Deterministic : EdgeTieBreak::PreferHigherPriority, - prios[rng() % 3]); + const RouteTieBreak higher[3] = {RouteTieBreak::HigherAvailableCapacity, RouteTieBreak::HigherCapacity, + RouteTieBreak::HigherHeadroom}; + const bool parallel = rng() % 2 == 0; + const bool prefer = rng() % 2 != 0; + const RouteTieBreak tie = higher[rng() % 3]; + const auto s1 = sel(parallel, prefer ? tie : RouteTieBreak::FewerHops); const std::int64_t ks[3] = {1, 3, 8}; const std::int64_t k = ks[rng() % 3]; std::optional ceiling; const auto pick = rng() % 4; - if (pick == 2) ceiling = Absolute {static_cast(3 + rng() % 9)}; + if (pick == 2) ceiling = AbsoluteCost {static_cast(3 + rng() % 9)}; if (pick == 3) { - const double fs[4] = {1.0, 1.25, 1.5, 2.0}; - ceiling = Stretch {fs[rng() % 4]}; + const std::pair fs[4] = {{1, 1}, {5, 4}, {3, 2}, {2, 1}}; + const auto [n, d] = fs[rng() % 4]; + ceiling = CostStretch(n, d); } ref::Query q; q.g = &g; q.elig = masks ? &el : nullptr; q.residual = use_res ? &residual : nullptr; - q.multi_edge = s1.multi_edge; - q.prefer = s1.tie_break == EdgeTieBreak::PreferHigherPriority; - q.priority = s1.priority; + q.parallel_edges = s1.parallel_edges; + q.tie_break = s1.tie_break; const auto want = reference_ksp(g, q, 0, static_cast(n - 1), k, ceiling); auto got = run(g, 0, static_cast(n - 1), k, s1, ceiling, use_res ? &residual : nullptr, masks ? &el : nullptr); std::vector> walks; @@ -505,16 +523,6 @@ TEST(Ksp, RandomGraphsAgreeWithExhaustiveEnumeration) { EXPECT_EQ(cost, p.cost()); } ASSERT_EQ(walks, want) << "graph " << gi << " case " << c; - // multipath is ignored: the same selection with multipath = false lists the same paths. - PathSelection single = s1; - single.multipath = false; - const auto same = run(g, 0, static_cast(n - 1), k, single, ceiling, use_res ? &residual : nullptr, - masks ? &el : nullptr); - ASSERT_EQ(same.size(), got.size()) << "graph " << gi << " case " << c; - for (std::size_t i = 0; i < same.size(); ++i) { - EXPECT_EQ(same[i].first, got[i].first) << "graph " << gi << " case " << c; - EXPECT_TRUE(same[i].second == got[i].second) << "graph " << gi << " case " << c; - } if (!want.empty()) ++nonempty; if (want.size() >= 3) ++deep; } @@ -525,12 +533,12 @@ TEST(Ksp, RandomGraphsAgreeWithExhaustiveEnumeration) { namespace { -// Every src -> dst walk of a DAG given by its edges, as hops (grouped or split), sorted by the +// Every source -> destination walk of a DAG given by its edges, as hops (grouped or split), sorted by the // resolver's key (cost, hops, edge-id sequence with a grouped hop keyed by its lowest member). std::vector>> reference_walks(const Graph& g, const std::vector& dag, NodeId s, NodeId t, bool split) { std::map, std::vector> groups; - for (EdgeId e : dag) groups[{g.edge_src()[static_cast(e)], g.edge_dst()[static_cast(e)]}].push_back(e); + for (EdgeId e : dag) groups[{g.edge_sources()[static_cast(e)], g.edge_destinations()[static_cast(e)]}].push_back(e); for (auto& [k, v] : groups) std::sort(v.begin(), v.end()); std::vector>> out; std::function>&)> walk = [&](NodeId u, std::vector>& hops) { @@ -567,8 +575,8 @@ std::vector>> reference_walks(const Graph& g, co Cost c = 0; std::vector seq; for (const auto& h : p) { - Cost best = g.cost()[static_cast(h.front())]; - for (EdgeId e : h) best = std::min(best, g.cost()[static_cast(e)]); + Cost best = g.edge_costs()[static_cast(h.front())]; + for (EdgeId e : h) best = std::min(best, g.edge_costs()[static_cast(e)]); c += best; seq.push_back(h.front()); } @@ -584,7 +592,7 @@ TEST(ResolveToPaths, OrderSplitAndTruncation) { // A DAG with a parallel pair, two routes of equal cost and a dearer one: // EdgeIds: 0: 0->1 (1), 1: 0->1 (1), 2: 0->2 (1), 3: 0->3 (5), 4: 1->3 (1), 5: 2->3 (1). auto g = bgraph(4, {{0, 1, 1, 1}, {0, 1, 1, 1}, {0, 2, 1, 1}, {0, 3, 1, 5}, {1, 3, 1, 1}, {2, 3, 1, 1}}); - const auto dag = detail::PredDAGBuilder::of_edges(g, std::vector {0, 1, 2, 3, 4, 5}); + const auto dag = detail::PredecessorDAGBuilder::of_edges(g, std::vector {0, 1, 2, 3, 4, 5}); auto hops_of = [](const std::vector& ps) { std::vector>> out; for (const auto& p : ps) out.push_back(p.hops()); @@ -602,11 +610,11 @@ TEST(ResolveToPaths, OrderSplitAndTruncation) { EXPECT_EQ(hops_of(resolve_to_paths(g, dag, 0, 3, false, 1)), (std::vector>> {{{0, 1}, {4}}})); // An endpoint the DAG does not join: []. EXPECT_TRUE(resolve_to_paths(g, dag, 3, 0).empty()); - EXPECT_TRUE(resolve_to_paths(g, detail::PredDAGBuilder::of_edges(g, std::vector {4}), 0, 3).empty()); + EXPECT_TRUE(resolve_to_paths(g, detail::PredecessorDAGBuilder::of_edges(g, std::vector {4}), 0, 3).empty()); // Unequal parallel costs: expanding the first grouped walk in place would put cost 4 before // the direct cost-3 path, and truncating there would discard the wrong path. const auto mixed = bgraph(3, {{0, 1, 1, 1}, {0, 1, 1, 3}, {1, 2, 1, 1}, {0, 2, 1, 3}}); - const auto all = detail::PredDAGBuilder::of_edges(mixed, all_ids(mixed)); + const auto all = detail::PredecessorDAGBuilder::of_edges(mixed, all_ids(mixed)); const auto grouped_mixed = resolve_to_paths(mixed, all, 0, 2); EXPECT_EQ(hops_of(grouped_mixed), (std::vector>> {{{0, 1}, {3}}, {{2}}})); const auto split_mixed = resolve_to_paths(mixed, all, 0, 2, true); @@ -639,7 +647,7 @@ TEST(ResolveToPaths, RandomDagsAgreeWithEnumeration) { for (EdgeId e = 0; e < g.num_edges(); ++e) { if (rng() % 5 != 0) edges.push_back(e); } - const auto dag = detail::PredDAGBuilder::of_edges(g, edges); + const auto dag = detail::PredecessorDAGBuilder::of_edges(g, edges); const NodeId s = 0; const auto t = static_cast(n - 1); for (bool split : {false, true}) { @@ -665,8 +673,8 @@ TEST(ResolveToPaths, ResolvesASearchDagFromEitherDirection) { // The DAG of a reverse search is forward-oriented: resolving it from a source gives the same // walks as resolving the forward search's DAG. auto g = bgraph(5, {{0, 1, 1, 1}, {0, 2, 1, 1}, {1, 3, 1, 1}, {2, 3, 1, 1}, {3, 4, 1, 1}, {0, 4, 1, 3}}); - SpfOptions f(Direction::Forward, PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)); - SpfOptions r(Direction::Reverse, PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)); + SpfOptions f(Direction::Forward); + SpfOptions r(Direction::Reverse); auto fw = spf(g, std::vector {0}, f); auto rv = spf(g, std::vector {4}, r); auto a = resolve_to_paths(g, fw.dag, 0, 4); @@ -684,7 +692,7 @@ TEST(ResolveToPaths, LongChainsNeedNoRecursion) { for (int v = 0; v + 1 < n; ++v) rows.push_back({v, v + 1, 1, 1}); rows.push_back({n / 2, n / 2 + 1, 1, 1}); auto g = make_graph(n, rows); - const auto dag = detail::PredDAGBuilder::of_edges(g, all_ids(g)); + const auto dag = detail::PredecessorDAGBuilder::of_edges(g, all_ids(g)); EXPECT_EQ(resolve_to_paths(g, dag, 0, n - 1, true).size(), 2U); EXPECT_EQ(resolve_to_paths(g, dag, 0, n - 1).size(), 1U); } diff --git a/tests/cpp/layout_checker.hpp b/tests/cpp/layout_checker.hpp index 8c3b9da..b468d3b 100644 --- a/tests/cpp/layout_checker.hpp +++ b/tests/cpp/layout_checker.hpp @@ -9,10 +9,10 @@ // 2. then ranges, before any value is used as an index: offsets in [0, E], [0] = 0, [N] = E, // non-decreasing; endpoints in [0, N); the map and the slots in [0, E) and permutations; // the copied sources in [0, N); -// 3. then the order: the ids of row u have source u and strictly increasing (cost, dst, input); -// the slots of v hold edges with destination v in strictly increasing (cost, src, input); -// each copied source equals edge_src[in_adj_edge_index[slot]]; every property is the input -// array permuted by the map; max_cost and cost_gcd are the full scans (0 without edges). +// 3. then the order: the ids of row u have source u and strictly increasing (cost, destination, input); +// the slots of v hold edges with destination v in strictly increasing (cost, source, input); +// each copied source equals edge_sources()[incoming_edges()[slot]]; every property is the input +// array permuted by the map; max_edge_cost and edge_cost_gcd are the full scans (0 without edges). // A failing step stops the check (later steps would read through unchecked values). The result // is the list of defect codes of the failing step, empty when the layout is correct. #pragma once @@ -45,13 +45,13 @@ struct LayoutSpans { std::span cost {}; std::span src {}; std::span dst {}; - std::span input_index {}; - std::span row_offsets {}; - std::span in_row_offsets {}; - std::span in_adj_edge_index {}; - std::span in_col_indices {}; // the internal copy of the in-edges' sources - Cost max_cost {0}; - Cost cost_gcd {0}; + std::span input_positions {}; + std::span outgoing_offsets {}; + std::span incoming_offsets {}; + std::span incoming_edges {}; + std::span incoming_edge_sources {}; // the internal copy of the in-edges' sources + Cost max_edge_cost {0}; + Cost edge_cost_gcd {0}; }; namespace layout_checker_detail { @@ -104,16 +104,16 @@ inline std::vector check_layout(const LayoutSpans& g, const LayoutI size_is(g.cost.size(), me, "cost"); size_is(g.src.size(), me, "src"); size_is(g.dst.size(), me, "dst"); - size_is(g.input_index.size(), me, "input_index"); - size_is(g.row_offsets.size(), np1, "row_offsets"); - size_is(g.in_row_offsets.size(), np1, "in_row_offsets"); - size_is(g.in_adj_edge_index.size(), me, "in_adj_edge_index"); - size_is(g.in_col_indices.size(), me, "in_col_indices"); + size_is(g.input_positions.size(), me, "input_index"); + size_is(g.outgoing_offsets.size(), np1, "row_offsets"); + size_is(g.incoming_offsets.size(), np1, "in_row_offsets"); + size_is(g.incoming_edges.size(), me, "in_adj_edge_index"); + size_is(g.incoming_edge_sources.size(), me, "in_col_indices"); if (!bad.empty()) return bad; // 2. Ranges and permutations (values are read, none is used as an index yet). - offsets_ok(g.row_offsets, n, m, "row_offsets", bad); - offsets_ok(g.in_row_offsets, n, m, "in_row_offsets", bad); + offsets_ok(g.outgoing_offsets, n, m, "row_offsets", bad); + offsets_ok(g.incoming_offsets, n, m, "in_row_offsets", bad); for (std::size_t e = 0; e < me; ++e) { if (g.src[e] < 0 || g.src[e] >= n) { bad.emplace_back("range:src"); @@ -126,9 +126,9 @@ inline std::vector check_layout(const LayoutSpans& g, const LayoutI break; } } - if (!permutation_of_range(g.input_index, m)) bad.emplace_back("map:permutation"); - if (!permutation_of_range(g.in_adj_edge_index, m)) bad.emplace_back("slot:permutation"); - for (const NodeId x : g.in_col_indices) { + if (!permutation_of_range(g.input_positions, m)) bad.emplace_back("map:permutation"); + if (!permutation_of_range(g.incoming_edges, m)) bad.emplace_back("slot:permutation"); + for (const NodeId x : g.incoming_edge_sources) { if (x < 0 || x >= n) { bad.emplace_back("range:in_col_indices"); break; @@ -138,57 +138,57 @@ inline std::vector check_layout(const LayoutSpans& g, const LayoutI // 3. Properties, order, the copy, the scans. for (std::size_t e = 0; e < me; ++e) { - const auto i = static_cast(g.input_index[e]); + const auto i = static_cast(g.input_positions[e]); if (g.capacity[e] != in.capacity[i]) { bad.emplace_back("property:capacity"); break; } } for (std::size_t e = 0; e < me; ++e) { - if (g.cost[e] != in.cost[static_cast(g.input_index[e])]) { + if (g.cost[e] != in.cost[static_cast(g.input_positions[e])]) { bad.emplace_back("property:cost"); break; } } for (std::size_t e = 0; e < me; ++e) { - if (g.src[e] != in.src[static_cast(g.input_index[e])]) { + if (g.src[e] != in.src[static_cast(g.input_positions[e])]) { bad.emplace_back("property:src"); break; } } for (std::size_t e = 0; e < me; ++e) { - if (g.dst[e] != in.dst[static_cast(g.input_index[e])]) { + if (g.dst[e] != in.dst[static_cast(g.input_positions[e])]) { bad.emplace_back("property:dst"); break; } } - // Forward rows: the ids of row u, in (cost, dst, input) strictly increasing, source u. + // Forward rows: the ids of row u, in (cost, destination, input) strictly increasing, source u. bool fwd_member = true; bool fwd_order = true; for (std::size_t u = 0; u + 1 < np1; ++u) { - for (auto e = static_cast(g.row_offsets[u]); e < static_cast(g.row_offsets[u + 1]); ++e) { + for (auto e = static_cast(g.outgoing_offsets[u]); e < static_cast(g.outgoing_offsets[u + 1]); ++e) { if (g.src[e] != static_cast(u)) fwd_member = false; - if (e > static_cast(g.row_offsets[u]) && - !(std::tuple(g.cost[e - 1], g.dst[e - 1], g.input_index[e - 1]) < - std::tuple(g.cost[e], g.dst[e], g.input_index[e]))) { + if (e > static_cast(g.outgoing_offsets[u]) && + !(std::tuple(g.cost[e - 1], g.dst[e - 1], g.input_positions[e - 1]) < + std::tuple(g.cost[e], g.dst[e], g.input_positions[e]))) { fwd_order = false; } } } if (!fwd_member) bad.emplace_back("forward:membership"); if (!fwd_order) bad.emplace_back("forward:order"); - // Reverse rows: the slots of v, edges with destination v in (cost, src, input) strictly increasing. + // Reverse rows: the slots of v, edges with destination v in (cost, source, input) strictly increasing. bool rev_member = true; bool rev_order = true; for (std::size_t v = 0; v + 1 < np1; ++v) { - const auto lo = static_cast(g.in_row_offsets[v]); - const auto hi = static_cast(g.in_row_offsets[v + 1]); + const auto lo = static_cast(g.incoming_offsets[v]); + const auto hi = static_cast(g.incoming_offsets[v + 1]); for (std::size_t s = lo; s < hi; ++s) { - const auto e = static_cast(g.in_adj_edge_index[s]); + const auto e = static_cast(g.incoming_edges[s]); if (g.dst[e] != static_cast(v)) rev_member = false; if (s > lo) { - const auto p = static_cast(g.in_adj_edge_index[s - 1]); - if (!(std::tuple(g.cost[p], g.src[p], g.input_index[p]) < std::tuple(g.cost[e], g.src[e], g.input_index[e]))) { + const auto p = static_cast(g.incoming_edges[s - 1]); + if (!(std::tuple(g.cost[p], g.src[p], g.input_positions[p]) < std::tuple(g.cost[e], g.src[e], g.input_positions[e]))) { rev_order = false; } } @@ -197,7 +197,7 @@ inline std::vector check_layout(const LayoutSpans& g, const LayoutI if (!rev_member) bad.emplace_back("reverse:membership"); if (!rev_order) bad.emplace_back("reverse:order"); for (std::size_t s = 0; s < me; ++s) { - if (g.in_col_indices[s] != g.src[static_cast(g.in_adj_edge_index[s])]) { + if (g.incoming_edge_sources[s] != g.src[static_cast(g.incoming_edges[s])]) { bad.emplace_back("copy:source"); break; } @@ -209,8 +209,8 @@ inline std::vector check_layout(const LayoutSpans& g, const LayoutI mx = c > mx ? c : mx; gcd = std::gcd(gcd, c); } - if (g.max_cost != mx) bad.emplace_back("scan:max_cost"); - if (g.cost_gcd != gcd) bad.emplace_back("scan:cost_gcd"); + if (g.max_edge_cost != mx) bad.emplace_back("scan:max_cost"); + if (g.edge_cost_gcd != gcd) bad.emplace_back("scan:cost_gcd"); return bad; } diff --git a/tests/cpp/flow_core_deletion_fault_tests.cpp b/tests/cpp/min_cost_flow_deletion_fault_tests.cpp similarity index 93% rename from tests/cpp/flow_core_deletion_fault_tests.cpp rename to tests/cpp/min_cost_flow_deletion_fault_tests.cpp index 9154a8c..fafd0f1 100644 --- a/tests/cpp/flow_core_deletion_fault_tests.cpp +++ b/tests/cpp/min_cost_flow_deletion_fault_tests.cpp @@ -1,7 +1,7 @@ // Allocation-failure atomicity of the deletion re-solve's paths: the capture // of a solve's final state (on cold and growing threads), the copy and the copy assignment of a // state (between states of different sizes, on 1, 2 and 4 threads), a resolver's construction -// and every re-solve are swept over every allocation they make, and Global sensitivity over every +// and every re-solve are swept over every allocation they make, and CentralizedTE's failure study over every // allocation on 1, 2 and 4 workers. After each injected std::bad_alloc nothing is captured or // constructed, no allocation is left live once the attempt's objects are gone, an // assigned state keeps its old value, the network every state and resolver shares is unchanged, @@ -24,7 +24,7 @@ #include #include "fault_injection.hpp" -#include "netgraph/core/detail/flow_core.hpp" +#include "netgraph/core/detail/min_cost_flow.hpp" #include "netgraph/core/evaluators.hpp" #include "test_utils.hpp" @@ -47,11 +47,11 @@ std::shared_ptr graph() { const std::vector kSources {0, 1}; const std::vector kDestinations {4, 5, 7}; -FlowCoreResult capture(const Graph& g, std::shared_ptr owner, +MinCostFlowResult capture(const Graph& g, std::shared_ptr owner, DeletionCapture& req) { req.graph = std::move(owner); - const std::vector view(g.capacity_units().begin(), g.capacity_units().end()); - return place_global_units(g, view, kSources, kDestinations, nullptr, std::nullopt, &req); + const std::vector view(g.edge_capacity_units().begin(), g.edge_capacity_units().end()); + return solve_min_cost_flow(g, view, kSources, kDestinations, nullptr, std::nullopt, &req); } // The comparators below read a state through its accessors only, so they apply alike to the @@ -96,19 +96,19 @@ bool empty_state(const DeletionState& s) { // A state's fields, read through DeletionState's accessors and writable one at a time. struct StateFields { const Graph* graph_ {nullptr}; - const detail::Network* network_ {nullptr}; + const detail::ResidualNetwork* network_ {nullptr}; std::vector residual_ {}; std::vector potentials_ {}; Amount value_ {0}; bool maximum_ {false}; - detail::FlowCoreCounters counters_ {}; + detail::MinCostFlowCounters counters_ {}; [[nodiscard]] const Graph& graph() const { return *graph_; } - [[nodiscard]] const detail::Network& network() const { return *network_; } + [[nodiscard]] const detail::ResidualNetwork& network() const { return *network_; } [[nodiscard]] std::span residual() const { return residual_; } [[nodiscard]] std::span potentials() const { return potentials_; } [[nodiscard]] Amount value() const { return value_; } [[nodiscard]] bool maximum() const { return maximum_; } - [[nodiscard]] const detail::FlowCoreCounters& counters() const { return counters_; } + [[nodiscard]] const detail::MinCostFlowCounters& counters() const { return counters_; } }; StateFields fields_of(const DeletionState& s) { @@ -131,7 +131,7 @@ Saved saved(std::shared_ptr g, const std::vector& sources, const std::vector& destinations) { DeletionCapture req; req.graph = g; - (void)place_global_units(*g, g->capacity_units(), sources, destinations, nullptr, std::nullopt, &req); + (void)solve_min_cost_flow(*g, g->edge_capacity_units(), sources, destinations, nullptr, std::nullopt, &req); Saved out {*req.state, {}}; const auto flows = out.state.edge_flows(); for (EdgeId e = 0; e < g->num_edges(); ++e) { @@ -179,8 +179,8 @@ TEST(DeletionFaults, CaptureFailsWithoutAStateOrAChangedPayload) { // the allocations of the captured state. long plain = 0; while (fails_at(plain, [&] { - const std::vector view(g->capacity_units().begin(), g->capacity_units().end()); - (void)place_global_units(*g, view, kSources, kDestinations, nullptr, std::nullopt); + const std::vector view(g->edge_capacity_units().begin(), g->edge_capacity_units().end()); + (void)solve_min_cost_flow(*g, view, kSources, kDestinations, nullptr, std::nullopt); })) { ++plain; } @@ -192,7 +192,7 @@ TEST(DeletionFaults, CaptureFailsWithoutAStateOrAChangedPayload) { bool failed = false; { DeletionCapture req; - FlowCoreResult got; + MinCostFlowResult got; failed = fails_at(at, [&] { got = capture(*g, g, req); }); if (!failed) { EXPECT_TRUE(same_payload(got, payload)); @@ -266,7 +266,7 @@ TEST(DeletionFaults, EveryReSolveFailsWithoutPoisoningItsResolver) { DeletionCapture req; (void)capture(*g, g, req); const DeletionState saved = *req.state; - const detail::Network network = saved.network(); // the shared network, as captured + const detail::ResidualNetwork network = saved.network(); // the shared network, as captured const auto flows = saved.edge_flows(); int candidates = 0; for (EdgeId e = 0; e < g->num_edges(); ++e) { @@ -498,7 +498,7 @@ TEST(DeletionFaults, CaptureFailsAtEveryAllocationOnAColdOrGrowingThread) { }, [&](long at, const std::string& w) { DeletionCapture req; - FlowCoreResult got; + MinCostFlowResult got; const bool failed = fails_at(at, [&] { got = capture(*g, g, req); }); if (failed) { EXPECT_FALSE(req.state.has_value()) << w; @@ -523,22 +523,22 @@ TEST(DeletionFaults, CaptureFailsAtEveryAllocationOnAColdOrGrowingThread) { } } -// Global sensitivity at every allocation (any thread's, and the workers' only) on 1, 2 and 4 +// CentralizedTE's failure study at every allocation (any thread's, and the workers' only) on 1, 2 and 4 // workers; after each failure a retry gives the reference baseline and every entry. TEST(DeletionFaults, GlobalSensitivityFailsAtEveryAllocation) { const auto g = std::make_shared( make_graph(5, {{0, 1, 2, 1}, {1, 2, 2, 1}, {1, 3, 1, 2}, {3, 2, 1, 2}, {2, 4, 2, 1}, {0, 3, 1, 5}})); - const QueryOptions opts {global_config(), nullptr, nullptr, OutputOptions {true, true, true}}; + const EvaluationOptions opts {global_config(), nullptr, nullptr, OutputOptions {true, true, true}}; const std::vector sources {0}; const std::vector destinations {4}; - const auto want = sensitivity(*g, sources, destinations, opts, 1); + const auto want = evaluate_edge_failures(*g, sources, destinations, opts, 1); ASSERT_EQ(want.entries.size(), 3U); // the cheapest path 0 -> 1 -> 2 -> 4 carries the maximum 2 const auto same = [&](const SensitivityResult& got, const std::string& where) { expect_same(got.baseline, want.baseline, where); ASSERT_EQ(got.entries.size(), want.entries.size()) << where; for (std::size_t i = 0; i < want.entries.size(); ++i) { EXPECT_EQ(got.entries[i].edge, want.entries[i].edge) << where; - EXPECT_EQ(got.entries[i].loss, want.entries[i].loss) << where; + EXPECT_EQ(got.entries[i].delivery_reduction, want.entries[i].delivery_reduction) << where; } }; for (std::int32_t workers : {1, 2, 4}) { @@ -554,12 +554,12 @@ TEST(DeletionFaults, GlobalSensitivityFailsAtEveryAllocation) { bool failed = false; { SensitivityResult got; - const auto call = [&] { got = sensitivity(*g, sources, destinations, opts, workers); }; + const auto call = [&] { got = evaluate_edge_failures(*g, sources, destinations, opts, workers); }; failed = workers_only ? fails_in_workers_at(at, call) : fails_at(at, call); if (!failed) { same(got, where); } else { - same(sensitivity(*g, sources, destinations, opts, workers), "retry after " + where); + same(evaluate_edge_failures(*g, sources, destinations, opts, workers), "retry after " + where); } } EXPECT_EQ(g_live.load(), live) << where << ": a leak"; diff --git a/tests/cpp/flow_core_deletion_tests.cpp b/tests/cpp/min_cost_flow_deletion_tests.cpp similarity index 85% rename from tests/cpp/flow_core_deletion_tests.cpp rename to tests/cpp/min_cost_flow_deletion_tests.cpp index 6ccdf4e..97a4479 100644 --- a/tests/cpp/flow_core_deletion_tests.cpp +++ b/tests/cpp/min_cost_flow_deletion_tests.cpp @@ -1,4 +1,4 @@ -// The deletion re-solve of the flow core and the exact sensitivity model that uses it. Every check +// The deletion re-solve of the flow core and the exact failure study that uses it. Every check // is independent of the repair: a solve from zero on the deleted view, the Bellman-Ford curve of // test_utils.hpp, residuals rebuilt from flows, divergences and reduced costs computed here in // the exact test integer of test_int128.hpp. Without the private hooks, check_deletion checks @@ -20,7 +20,7 @@ #include #include -#include "netgraph/core/detail/flow_core.hpp" +#include "netgraph/core/detail/min_cost_flow.hpp" #include "netgraph/core/evaluators.hpp" #include "test_utils.hpp" @@ -33,9 +33,9 @@ using detail::DeletionCapture; using detail::DeletionResolver; using detail::DeletionResult; using detail::DeletionState; -using detail::FlowCoreCounters; +using detail::MinCostFlowCounters; using detail::I128; -using detail::Network; +using detail::ResidualNetwork; constexpr std::size_t kNone = std::numeric_limits::max(); @@ -55,37 +55,37 @@ struct Case { Case make_case(std::int32_t n, const std::vector& edges, std::vector s, std::vector d) { Case c; c.g = std::make_shared(make_graph(n, edges)); - c.view.assign(c.g->capacity_units().begin(), c.g->capacity_units().end()); + c.view.assign(c.g->edge_capacity_units().begin(), c.g->edge_capacity_units().end()); c.sources = std::move(s); c.destinations = std::move(d); return c; } -DeletionCapture capture_of(const Case& c, FlowCoreResult* payload = nullptr) { +DeletionCapture capture_of(const Case& c, MinCostFlowResult* payload = nullptr) { DeletionCapture req; req.graph = c.g; - auto r = place_global_units(*c.g, c.view, c.sources, c.destinations, c.el(), c.cap, &req); + auto r = solve_min_cost_flow(*c.g, c.view, c.sources, c.destinations, c.el(), c.cap, &req); if (payload != nullptr) *payload = std::move(r); return req; } Int128 cost_sum(const Graph& g) { Int128 c = 0; - for (Cost w : g.cost()) c += w; + for (Cost w : g.edge_costs()) c += w; return c; } // The local index of edge e in the state's network. -std::size_t local_of(const Network& net, EdgeId e) { +std::size_t local_of(const ResidualNetwork& net, EdgeId e) { const auto it = std::lower_bound(net.edges.begin(), net.edges.end(), e); return it != net.edges.end() && *it == e ? static_cast(it - net.edges.begin()) : kNone; } // The tail of every slot. -std::vector slot_tails(const Network& net) { - std::vector tail(net.arc_head.size()); +std::vector slot_tails(const ResidualNetwork& net) { + std::vector tail(net.arc_destinations.size()); for (std::int32_t x = 0; x < net.num_nodes + 2; ++x) { - for (auto p = net.off[static_cast(x)]; p < net.off[static_cast(x) + 1]; ++p) { + for (auto p = net.arc_offsets[static_cast(x)]; p < net.arc_offsets[static_cast(x) + 1]; ++p) { tail[static_cast(p)] = x; } } @@ -94,36 +94,36 @@ std::vector slot_tails(const Network& net) { // The residual of a flow (per EdgeId) on the network: real arcs from the flow and the view // capacity, virtual arcs from the endpoints' divergences; the deleted edge's arcs zero. -std::vector residual_of(const Network& net, const std::vector& flows, std::size_t deleted) { - std::vector res(net.arc_head.size(), 0); +std::vector residual_of(const ResidualNetwork& net, const std::vector& flows, std::size_t deleted) { + std::vector res(net.arc_destinations.size(), 0); std::vector div(static_cast(net.num_nodes) + 2, 0); for (std::size_t k = 0; k < net.edges.size(); ++k) { const Amount f = flows[static_cast(net.edges[k])]; - const auto fwd = static_cast(net.edge_slot[k]); - const auto bwd = static_cast(net.rev[fwd]); + const auto fwd = static_cast(net.edge_forward_arcs[k]); + const auto bwd = static_cast(net.reverse_arcs[fwd]); if (k == deleted) continue; - res[fwd] = net.cap[k] - f; + res[fwd] = net.edge_capacities[k] - f; res[bwd] = f; - div[static_cast(net.tail[k])] += f; - div[static_cast(net.head[k])] -= f; + div[static_cast(net.edge_sources[k])] += f; + div[static_cast(net.edge_destinations[k])] -= f; } for (std::size_t i = 0; i < net.sources.size(); ++i) { const Amount x = div[static_cast(net.sources[i])]; - const auto a = static_cast(net.src_rev[i]); + const auto a = static_cast(net.source_reverse_arcs[i]); res[a] = x; - res[static_cast(net.rev[a])] = kMaxFlowCap - x; + res[static_cast(net.reverse_arcs[a])] = kMaxFlowCap - x; } for (std::size_t i = 0; i < net.destinations.size(); ++i) { const Amount y = -div[static_cast(net.destinations[i])]; - const auto a = static_cast(net.dst_fwd[i]); + const auto a = static_cast(net.destination_forward_arcs[i]); res[a] = kMaxFlowCap - y; - res[static_cast(net.rev[a])] = y; + res[static_cast(net.reverse_arcs[a])] = y; } return res; } // The divergences (outflow minus inflow) every vertex should have: `at` lists (vertex, value). -std::vector divergences(const Network& net, std::initializer_list> at) { +std::vector divergences(const ResidualNetwork& net, std::initializer_list> at) { std::vector d(static_cast(net.num_nodes) + 2, 0); for (auto [v, x] : at) d[static_cast(v)] += x; return d; @@ -133,49 +133,49 @@ std::vector divergences(const Network& net, std::initializer_list check_residual(const Network& net, std::span res, std::span pi, +std::vector check_residual(const ResidualNetwork& net, std::span res, std::span pi, std::size_t deleted, const std::vector& want, Int128 bound) { std::vector fails; const auto n = static_cast(net.num_nodes) + 2; - if (res.size() != net.arc_head.size() || pi.size() != n) return {"shape"}; + if (res.size() != net.arc_destinations.size() || pi.size() != n) return {"shape"}; std::vector div(n, 0); for (std::size_t k = 0; k < net.edges.size(); ++k) { - const auto fwd = static_cast(net.edge_slot[k]); - const auto bwd = static_cast(net.rev[fwd]); + const auto fwd = static_cast(net.edge_forward_arcs[k]); + const auto bwd = static_cast(net.reverse_arcs[fwd]); if (k == deleted) { if (res[fwd] != 0 || res[bwd] != 0) fails.push_back("the deleted edge keeps a residual arc"); continue; } - if (res[fwd] < 0 || res[bwd] < 0 || res[fwd] + res[bwd] != net.cap[k]) { + if (res[fwd] < 0 || res[bwd] < 0 || res[fwd] + res[bwd] != net.edge_capacities[k]) { fails.push_back("capacity bounds at edge " + std::to_string(net.edges[k])); } - div[static_cast(net.tail[k])] += res[bwd]; - div[static_cast(net.head[k])] -= res[bwd]; + div[static_cast(net.edge_sources[k])] += res[bwd]; + div[static_cast(net.edge_destinations[k])] -= res[bwd]; } const auto S = static_cast(net.num_nodes); const std::size_t T = S + 1; auto virtual_pair = [&](std::size_t a, std::size_t from, std::size_t to, Amount flow) { - if (res[a] < 0 || res[static_cast(net.rev[a])] < 0 || - static_cast(res[a]) + res[static_cast(net.rev[a])] != kMaxFlowCap) { + if (res[a] < 0 || res[static_cast(net.reverse_arcs[a])] < 0 || + static_cast(res[a]) + res[static_cast(net.reverse_arcs[a])] != kMaxFlowCap) { fails.push_back("capacity bounds at a virtual arc"); } div[from] += flow; div[to] -= flow; }; for (std::size_t i = 0; i < net.sources.size(); ++i) { - const auto a = static_cast(net.src_rev[i]); + const auto a = static_cast(net.source_reverse_arcs[i]); virtual_pair(a, S, static_cast(net.sources[i]), res[a]); } for (std::size_t i = 0; i < net.destinations.size(); ++i) { - const auto a = static_cast(net.dst_fwd[i]); - virtual_pair(a, static_cast(net.destinations[i]), T, res[static_cast(net.rev[a])]); + const auto a = static_cast(net.destination_forward_arcs[i]); + virtual_pair(a, static_cast(net.destinations[i]), T, res[static_cast(net.reverse_arcs[a])]); } if (div != want) fails.push_back("divergence vector"); const auto tail = slot_tails(net); for (std::size_t a = 0; a < res.size(); ++a) { if (res[a] <= 0) continue; const auto u = static_cast(tail[a]); - const auto v = static_cast(net.arc_head[a]); + const auto v = static_cast(net.arc_destinations[a]); if (static_cast(net.arc_cost[a]) + wide(pi[u]) - wide(pi[v]) < 0) { fails.push_back("negative reduced cost on slot " + std::to_string(a) + (u >= S || v >= S ? " (virtual)" : "")); } @@ -187,7 +187,7 @@ std::vector check_residual(const Network& net, std::span closure_of(const Network& net, std::span res) { +std::vector closure_of(const ResidualNetwork& net, std::span res) { const auto n = static_cast(net.num_nodes) + 2; std::vector seen(n, 0); std::vector queue; @@ -197,8 +197,8 @@ std::vector closure_of(const Network& net, std::span res) { } for (std::size_t qi = 0; qi < queue.size(); ++qi) { const auto u = queue[qi]; - for (auto p = net.off[u]; p < net.off[u + 1]; ++p) { - const auto v = static_cast(net.arc_head[static_cast(p)]); + for (auto p = net.arc_offsets[u]; p < net.arc_offsets[u + 1]; ++p) { + const auto v = static_cast(net.arc_destinations[static_cast(p)]); if (res[static_cast(p)] > 0 && seen[v] == 0) { seen[v] = 1; queue.push_back(v); @@ -209,28 +209,28 @@ std::vector closure_of(const Network& net, std::span res) { } // Whether the real sources reach t* over positive residual arcs. -bool connected(const Network& net, std::span res) { return closure_of(net, res).back() != 0; } +bool connected(const ResidualNetwork& net, std::span res) { return closure_of(net, res).back() != 0; } -// A solve from zero with e deleted as sensitivity deletes it: excluded by an Eligibility +// A solve from zero with e deleted as evaluate_edge_failures deletes it: excluded by an Eligibility // (intersected with the case's), its view 0. An excluded edge is no edge of the network, so it is // never a cut edge; an allowed edge of view 0 leaving the closure is one. -FlowCoreResult fresh_without(const Case& c, EdgeId e) { +MinCostFlowResult fresh_without(const Case& c, EdgeId e) { auto view = c.view; view[static_cast(e)] = 0; const EdgeId one[1] = {e}; Eligibility deleted = c.g->eligibility({}, one); if (c.el() != nullptr) deleted = Eligibility::intersect(*c.el(), deleted); - return place_global_units(*c.g, view, c.sources, c.destinations, &deleted, std::nullopt); + return solve_min_cost_flow(*c.g, view, c.sources, c.destinations, &deleted, std::nullopt); } // The cut of a residual: the network's edges, the deleted one aside, from the closure of the real // sources to its complement, whatever their view capacity, ascending EdgeId. -std::vector closure_cut(const Network& net, std::span res, std::size_t deleted) { +std::vector closure_cut(const ResidualNetwork& net, std::span res, std::size_t deleted) { const auto seen = closure_of(net, res); std::vector cut; for (std::size_t k = 0; k < net.edges.size(); ++k) { if (k == deleted) continue; - if (seen[static_cast(net.tail[k])] != 0 && seen[static_cast(net.head[k])] == 0) { + if (seen[static_cast(net.edge_sources[k])] != 0 && seen[static_cast(net.edge_destinations[k])] == 0) { cut.push_back(net.edges[k]); } } @@ -262,12 +262,12 @@ struct Observation { // feasibility on every positive residual arc. `updates` collects the counters after every // potential update with its repair; `seen` counts the events. DeletionResult observed(DeletionResolver& rs, const DeletionState& st, EdgeId e, std::vector& fails, - bool rerun = false, std::vector>* updates = nullptr, + bool rerun = false, std::vector>* updates = nullptr, Observation* seen = nullptr) { - const Network& net = st.network(); + const ResidualNetwork& net = st.network(); const std::size_t k = local_of(net, e); - const std::int32_t u = net.tail[k]; - const std::int32_t v = net.head[k]; + const std::int32_t u = net.edge_sources[k]; + const std::int32_t v = net.edge_destinations[k]; const Amount F = st.value(); const Amount f = st.edge_flows()[static_cast(e)]; const Int128 n = net.num_nodes + 2; @@ -298,7 +298,7 @@ DeletionResult observed(DeletionResolver& rs, const DeletionState& st, EdgeId e, // every clause. The view, a fresh solve and an independent cost curve supply the expected values. void expect_deletion(const Case& c, const DeletionState& st, EdgeId e, const DeletionResult& r, const std::string& where) { - const Network& net = st.network(); + const ResidualNetwork& net = st.network(); const std::size_t k = local_of(net, e); // Feasible on V \ {e} read per EdgeId: within the view, zero on the deleted edge and on every // edge the Eligibility excludes. @@ -307,19 +307,19 @@ void expect_deletion(const Case& c, const DeletionState& st, EdgeId e, const Del ASSERT_EQ(r.edge_flows.size(), view.size()) << where; for (std::size_t x = 0; x < view.size(); ++x) { EXPECT_TRUE(r.edge_flows[x] >= 0 && r.edge_flows[x] <= view[x]) << where << " edge " << x; - if (c.el() != nullptr && !c.el()->edge_ok(static_cast(x))) EXPECT_EQ(r.edge_flows[x], 0) << where; + if (c.el() != nullptr && !c.el()->allows_edge(static_cast(x))) EXPECT_EQ(r.edge_flows[x], 0) << where; } // From zero on V \ {e} with e excluded, and the independent Bellman-Ford curve. const auto fresh = fresh_without(c, e); const auto ref = independent_curve(*c.g, view, c.sources, c.destinations, c.el()); - EXPECT_EQ(r.value, fresh.placed) << where; + EXPECT_EQ(r.value, fresh.flow_value) << where; EXPECT_EQ(r.value, ref.back().first) << where; EXPECT_TRUE(flow_cost(*c.g, r.edge_flows) == flow_cost(*c.g, fresh.edge_flows)) << where; EXPECT_TRUE(flow_cost(*c.g, r.edge_flows) == ref.back().second) << where; ASSERT_TRUE(fresh.min_cut.has_value()) << where; - EXPECT_EQ(r.cut, *fresh.min_cut) << where; + EXPECT_EQ(r.min_cut, *fresh.min_cut) << where; Amount cut_value = 0; - for (EdgeId x : r.cut) cut_value += view[static_cast(x)]; + for (EdgeId x : r.min_cut) cut_value += view[static_cast(x)]; EXPECT_EQ(cut_value, r.value) << where; EXPECT_EQ(r.edge_flows[static_cast(e)], 0) << where; // The final residual from the flow: bounds, divergences (value at s*), working potentials @@ -331,13 +331,13 @@ void expect_deletion(const Case& c, const DeletionState& st, EdgeId e, const Del ADD_FAILURE() << where << ": final: " << s; } EXPECT_FALSE(connected(net, res)) << where; - EXPECT_EQ(r.cut, closure_cut(net, res, k)) << where; // the cut of that residual + EXPECT_EQ(r.min_cut, closure_cut(net, res, k)) << where; // the cut of that residual EXPECT_EQ(run_bound_failure(st, st.edge_flows()[static_cast(e)], r), "") << where; } // Every certificate check for the deletion of positive-flow edge e from the captured state of c. void check_deletion(const Case& c, const DeletionState& st, EdgeId e, const std::string& where) { - const Network& net = st.network(); + const ResidualNetwork& net = st.network(); const std::size_t k = local_of(net, e); ASSERT_NE(k, kNone) << where; const Amount f = st.edge_flows()[static_cast(e)]; @@ -375,9 +375,9 @@ void check_deletion(const Case& c, const DeletionState& st, EdgeId e, const std: // The captured state's own checks: bounds, divergences, valid working potentials within // (n + 1) C, and the certificate. -void check_state(const Case& c, const DeletionState& st, const FlowCoreResult& payload, const std::string& where) { - const Network& net = st.network(); - EXPECT_EQ(st.value(), payload.placed) << where; +void check_state(const Case& c, const DeletionState& st, const MinCostFlowResult& payload, const std::string& where) { + const ResidualNetwork& net = st.network(); + EXPECT_EQ(st.value(), payload.flow_value) << where; EXPECT_EQ(st.edge_flows(), payload.edge_flows) << where; const Int128 n = net.num_nodes + 2; const auto want = @@ -394,7 +394,7 @@ void check_state(const Case& c, const DeletionState& st, const FlowCoreResult& p // and cost; no re-solve, which rejects it). // `resolved`, when given, counts the edges checked by a re-solve. void check_every_edge(const Case& c, const std::string& where, int* resolved = nullptr) { - FlowCoreResult payload; + MinCostFlowResult payload; const auto req = capture_of(c, &payload); ASSERT_TRUE(req.state.has_value()) << where; const DeletionState& st = *req.state; @@ -412,8 +412,8 @@ void check_every_edge(const Case& c, const std::string& where, int* resolved = n } else { auto view = c.view; view[static_cast(e)] = 0; - const auto fresh = place_global_units(*c.g, view, c.sources, c.destinations, c.el(), std::nullopt); - EXPECT_EQ(fresh.placed, st.value()) << at; + const auto fresh = solve_min_cost_flow(*c.g, view, c.sources, c.destinations, c.el(), std::nullopt); + EXPECT_EQ(fresh.flow_value, st.value()) << at; EXPECT_TRUE(flow_cost(*c.g, fresh.edge_flows) == flow_cost(*c.g, flows)) << at; const auto ref = independent_curve(*c.g, view, c.sources, c.destinations, c.el()); EXPECT_EQ(ref.back().first, st.value()) << at; @@ -595,8 +595,8 @@ TEST(FlowCoreDeletion, CaptureLeavesTheFromZeroPayloadUnchanged) { std::optional {fmax / 2}, std::optional {fmax}, std::optional {fmax + 3}}) { c.cap = cap; - const auto plain = place_global_units(*c.g, c.view, c.sources, c.destinations, c.el(), cap); - FlowCoreResult with; + const auto plain = solve_min_cost_flow(*c.g, c.view, c.sources, c.destinations, c.el(), cap); + MinCostFlowResult with; const auto req = capture_of(c, &with); ASSERT_TRUE(same_payload(plain, with)) << "trial " << trial; ASSERT_TRUE(req.state.has_value()); @@ -609,11 +609,11 @@ TEST(FlowCoreDeletion, CaptureLeavesTheFromZeroPayloadUnchanged) { // An infeasible positive cap: no path, the failed first tier. Case none = make_case(3, {{0, 1, 2, 1}}, {0}, {2}); none.cap = 5; - const auto plain = place_global_units(*none.g, none.view, none.sources, none.destinations, nullptr, none.cap); - FlowCoreResult with; + const auto plain = solve_min_cost_flow(*none.g, none.view, none.sources, none.destinations, nullptr, none.cap); + MinCostFlowResult with; const auto req = capture_of(none, &with); EXPECT_TRUE(same_payload(plain, with)); - EXPECT_EQ(with.placed, 0); + EXPECT_EQ(with.flow_value, 0); EXPECT_EQ(with.counters.dijkstra_runs, 1); EXPECT_TRUE(req.state->maximum()); EXPECT_GT(below_maximum, 100); @@ -624,12 +624,12 @@ TEST(FlowCoreDeletion, CaptureLeavesTheFromZeroPayloadUnchanged) { // helper comparing sizes only, or a prefix only, fails). TEST(TestHelpers, EqualityHelpersCompareEveryField) { Case c = make_case(5, {{0, 1, 3, 3}, {0, 2, 1, 3}, {1, 2, 2, 7}, {2, 3, 1, 3}, {3, 1, 1, 2}}, {0}, {3}); - FlowCoreResult payload; + MinCostFlowResult payload; const auto req = capture_of(c, &payload); ASSERT_TRUE(req.state.has_value()); const auto& st = *req.state; ASSERT_GT(st.value(), 0); - const std::vector> counters = { + const std::vector> counters = { [](auto& x) { ++x.dijkstra_runs; }, [](auto& x) { ++x.dijkstra_pops; }, [](auto& x) { ++x.settled; }, [](auto& x) { ++x.arc_scans; }, [](auto& x) { ++x.dinic_phases; }, [](auto& x) { ++x.augmentations; }, }; @@ -638,11 +638,11 @@ TEST(TestHelpers, EqualityHelpersCompareEveryField) { counters[k](x); EXPECT_FALSE(same_counters(x, payload.counters)) << "counter " << k; } - const std::vector> payloads = { - [](auto& x) { ++x.placed; }, - [](auto& x) { x.cost_distribution.emplace_back(1, 1); }, - [](auto& x) { ++x.cost_distribution.back().first; }, - [](auto& x) { ++x.cost_distribution.back().second; }, + const std::vector> payloads = { + [](auto& x) { ++x.flow_value; }, + [](auto& x) { x.marginal_cost_curve.emplace_back(1, 1); }, + [](auto& x) { ++x.marginal_cost_curve.back().first; }, + [](auto& x) { ++x.marginal_cost_curve.back().second; }, [](auto& x) { x.edge_flows.push_back(0); }, [](auto& x) { ++x.edge_flows.back(); }, [](auto& x) { x.min_cut.reset(); }, @@ -653,7 +653,7 @@ TEST(TestHelpers, EqualityHelpersCompareEveryField) { [](auto& x) { ++x.counters.settled; }, }; ASSERT_TRUE(payload.min_cut.has_value() && !payload.min_cut->empty()); - ASSERT_FALSE(payload.cost_distribution.empty()); + ASSERT_FALSE(payload.marginal_cost_curve.empty()); for (std::size_t k = 0; k < payloads.size(); ++k) { auto x = payload; payloads[k](x); @@ -666,38 +666,38 @@ TEST(TestHelpers, EqualityHelpersCompareEveryField) { [](auto& x) { ++x.value; }, [](auto& x) { x.potentials.push_back(I128 {0}); }, [](auto& x) { x.potentials.back() += I128 {1}; }, - [](auto& x) { x.cut.push_back(0); }, - [](auto& x) { ++x.cut.back(); }, + [](auto& x) { x.min_cut.push_back(0); }, + [](auto& x) { ++x.min_cut.back(); }, [](auto& x) { x.edge_flows.push_back(0); }, [](auto& x) { ++x.edge_flows.back(); }, [](auto& x) { ++x.counters.augmentations; }, }; - ASSERT_FALSE(result.cut.empty()); + ASSERT_FALSE(result.min_cut.empty()); for (std::size_t k = 0; k < results.size(); ++k) { auto x = result; results[k](x); EXPECT_FALSE(same_result(x, result)) << "result field " << k; } - const Network& net = st.network(); - const std::vector> networks = { + const ResidualNetwork& net = st.network(); + const std::vector> networks = { [](auto& x) { ++x.num_nodes; }, [](auto& x) { x.edges.push_back(0); }, - [](auto& x) { x.tail.push_back(0); }, [](auto& x) { x.head.push_back(0); }, - [](auto& x) { x.cost.push_back(0); }, [](auto& x) { x.cap.push_back(0); }, + [](auto& x) { x.edge_sources.push_back(0); }, [](auto& x) { x.edge_destinations.push_back(0); }, + [](auto& x) { x.cost.push_back(0); }, [](auto& x) { x.edge_capacities.push_back(0); }, [](auto& x) { x.sources.push_back(0); }, [](auto& x) { x.destinations.push_back(0); }, - [](auto& x) { x.off.push_back(0); }, [](auto& x) { x.arc_head.push_back(0); }, - [](auto& x) { x.rev.push_back(0); }, [](auto& x) { x.arc_cost.push_back(0); }, - [](auto& x) { x.edge_slot.push_back(0); }, [](auto& x) { x.src_rev.push_back(0); }, - [](auto& x) { x.dst_fwd.push_back(0); }, - [](auto& x) { ++x.edges.back(); }, [](auto& x) { ++x.tail.back(); }, - [](auto& x) { ++x.head.back(); }, [](auto& x) { ++x.cost.back(); }, - [](auto& x) { ++x.cap.back(); }, [](auto& x) { ++x.sources.back(); }, - [](auto& x) { ++x.destinations.back(); }, [](auto& x) { ++x.off.back(); }, - [](auto& x) { ++x.arc_head.back(); }, [](auto& x) { ++x.rev.back(); }, - [](auto& x) { ++x.arc_cost.back(); }, [](auto& x) { ++x.edge_slot.back(); }, - [](auto& x) { ++x.src_rev.back(); }, [](auto& x) { ++x.dst_fwd.back(); }, + [](auto& x) { x.arc_offsets.push_back(0); }, [](auto& x) { x.arc_destinations.push_back(0); }, + [](auto& x) { x.reverse_arcs.push_back(0); }, [](auto& x) { x.arc_cost.push_back(0); }, + [](auto& x) { x.edge_forward_arcs.push_back(0); }, [](auto& x) { x.source_reverse_arcs.push_back(0); }, + [](auto& x) { x.destination_forward_arcs.push_back(0); }, + [](auto& x) { ++x.edges.back(); }, [](auto& x) { ++x.edge_sources.back(); }, + [](auto& x) { ++x.edge_destinations.back(); }, [](auto& x) { ++x.cost.back(); }, + [](auto& x) { ++x.edge_capacities.back(); }, [](auto& x) { ++x.sources.back(); }, + [](auto& x) { ++x.destinations.back(); }, [](auto& x) { ++x.arc_offsets.back(); }, + [](auto& x) { ++x.arc_destinations.back(); }, [](auto& x) { ++x.reverse_arcs.back(); }, + [](auto& x) { ++x.arc_cost.back(); }, [](auto& x) { ++x.edge_forward_arcs.back(); }, + [](auto& x) { ++x.source_reverse_arcs.back(); }, [](auto& x) { ++x.destination_forward_arcs.back(); }, }; for (std::size_t k = 0; k < networks.size(); ++k) { - Network x = net; + ResidualNetwork x = net; networks[k](x); EXPECT_FALSE(same_network(x, net)) << "network field " << k; } @@ -711,7 +711,7 @@ TEST(FlowCoreDeletion, ResidualCheckRejectsEachBrokenClause) { const auto req = capture_of(c); ASSERT_TRUE(req.state.has_value()); const auto& st = *req.state; - const Network& net = st.network(); + const ResidualNetwork& net = st.network(); const std::vector res(st.residual().begin(), st.residual().end()); const std::vector pi(st.potentials().begin(), st.potentials().end()); const auto want = @@ -724,12 +724,12 @@ TEST(FlowCoreDeletion, ResidualCheckRejectsEachBrokenClause) { ASSERT_GT(st.value(), 0); // An edge that carries flow: its backward arc is positive. std::size_t k = 0; - while (k < net.edges.size() && res[static_cast(net.rev[static_cast(net.edge_slot[k])])] == 0) { + while (k < net.edges.size() && res[static_cast(net.reverse_arcs[static_cast(net.edge_forward_arcs[k])])] == 0) { ++k; } ASSERT_LT(k, net.edges.size()); - const auto fwd = static_cast(net.edge_slot[k]); - const auto bwd = static_cast(net.rev[fwd]); + const auto fwd = static_cast(net.edge_forward_arcs[k]); + const auto bwd = static_cast(net.reverse_arcs[fwd]); // One more unit on the forward arc: the pair exceeds the edge's capacity (the divergences read // the backward arc only). auto over = res; @@ -743,17 +743,17 @@ TEST(FlowCoreDeletion, ResidualCheckRejectsEachBrokenClause) { EXPECT_TRUE(has_failure(check(less, pi), "divergence vector")); // A source's virtual pair no longer sums to kMaxFlowCap. auto virt = res; - ++virt[static_cast(net.src_rev[0])]; + ++virt[static_cast(net.source_reverse_arcs[0])]; EXPECT_TRUE(has_failure(check(virt, pi), "capacity bounds at a virtual arc")); // The same residual read as if edge k were deleted: its arcs should be zero. EXPECT_TRUE(has_failure(check(res, pi, k), "the deleted edge keeps a residual arc")); // A positive real arc u -> v with pi(v) raised to pi(u) + cost + 1: reduced cost -1. const auto tail = slot_tails(net); std::size_t a = 0; - while (a < res.size() && (res[a] <= 0 || tail[a] >= net.num_nodes || net.arc_head[a] >= net.num_nodes)) ++a; + while (a < res.size() && (res[a] <= 0 || tail[a] >= net.num_nodes || net.arc_destinations[a] >= net.num_nodes)) ++a; ASSERT_LT(a, res.size()); auto raised = pi; - raised[static_cast(net.arc_head[a])] = + raised[static_cast(net.arc_destinations[a])] = raised[static_cast(tail[a])] + I128 {net.arc_cost[a] + 1}; EXPECT_TRUE(has_failure(check(res, raised), "negative reduced cost on slot " + std::to_string(a))); // A potential below 0 and one above the bound. @@ -774,16 +774,16 @@ TEST(FlowCoreDeletion, ResidualCheckRejectsEachBrokenClause) { // pair (the moved units also shift the divergences). auto negative = [&](std::size_t x) { auto r = res; - const auto y = static_cast(net.rev[x]); + const auto y = static_cast(net.reverse_arcs[x]); r[y] += r[x] + 1; r[x] = -1; return r; }; EXPECT_TRUE(has_failure(check(negative(fwd), pi), "capacity bounds at edge " + std::to_string(net.edges[k]))); EXPECT_TRUE(has_failure(check(negative(bwd), pi), "capacity bounds at edge " + std::to_string(net.edges[k]))); - const auto src_arc = static_cast(net.src_rev[0]); + const auto src_arc = static_cast(net.source_reverse_arcs[0]); EXPECT_TRUE(has_failure(check(negative(src_arc), pi), "capacity bounds at a virtual arc")); - EXPECT_TRUE(has_failure(check(negative(static_cast(net.rev[src_arc])), pi), + EXPECT_TRUE(has_failure(check(negative(static_cast(net.reverse_arcs[src_arc])), pi), "capacity bounds at a virtual arc")); // Read as deleted, edge k with only its forward arc, then only its backward arc, positive. for (const bool forward : {true, false}) { @@ -794,10 +794,10 @@ TEST(FlowCoreDeletion, ResidualCheckRejectsEachBrokenClause) { } // A positive virtual arc with its head's potential raised by its cost + 1 over its tail's. std::size_t b = 0; - while (b < res.size() && (res[b] <= 0 || (tail[b] < net.num_nodes && net.arc_head[b] < net.num_nodes))) ++b; + while (b < res.size() && (res[b] <= 0 || (tail[b] < net.num_nodes && net.arc_destinations[b] < net.num_nodes))) ++b; ASSERT_LT(b, res.size()); auto raised_virtual = pi; - raised_virtual[static_cast(net.arc_head[b])] = + raised_virtual[static_cast(net.arc_destinations[b])] = raised_virtual[static_cast(tail[b])] + I128 {net.arc_cost[b] + 1}; EXPECT_TRUE( has_failure(check(res, raised_virtual), "negative reduced cost on slot " + std::to_string(b) + " (virtual)")); @@ -821,7 +821,7 @@ DeletionCapture capture_iterative(const Case& c, std::vector& pi, int& s for (std::size_t v = 0; v < d.size(); ++v) pi[v] += d[v] != std::numeric_limits::max() ? d[v] : top; ++searches; }; - (void)place_global_units(*c.g, c.view, c.sources, c.destinations, c.el(), c.cap, &req); + (void)solve_min_cost_flow(*c.g, c.view, c.sources, c.destinations, c.el(), c.cap, &req); return req; } @@ -861,7 +861,7 @@ TEST(FlowCoreDeletion, CheckpointsEqualTheIterativeUpdate) { const auto& st = *req.state; std::vector shifted(st.potentials().begin(), st.potentials().end()); for (auto& p : shifted) p += 1000; - const Network& net = st.network(); + const ResidualNetwork& net = st.network(); const auto want = divergences(net, {{net.num_nodes, st.value()}, {net.num_nodes + 1, -static_cast(st.value())}}); EXPECT_TRUE(check_residual(net, st.residual(), shifted, kNone, want, cost_sum(*c.g) * 1000).empty()); @@ -898,7 +898,7 @@ TEST(FlowCoreDeletion, EveryEdgeOfRandomViewsAgreesWithAFreshSolve) { const Amount lost = st.value() - result.value; masked += c.elig.has_value() && c.elig->uid() != 0 ? 1 : 0; several += c.sources.size() > 1 || c.destinations.size() > 1 ? 1 : 0; - scaled += c.g->max_cost() > 1000000 ? 1 : 0; + scaled += c.g->max_edge_cost() > 1000000 ? 1 : 0; rerouted += lost == 0 ? 1 : 0; partial += lost > 0 && lost < flow ? 1 : 0; cut += lost == flow ? 1 : 0; @@ -954,9 +954,9 @@ TEST(FlowCoreDeletion, CertificateRejectsDamagedAnswers) { rejects(bad, {"r.edge_flows[x]"}); bad = good; ++bad.value; - rejects(bad, {"fresh.placed", "ref.back().first", "cut_value"}); + rejects(bad, {"fresh.flow_value", "ref.back().first", "cut_value"}); bad = good; - bad.cut.clear(); + bad.min_cut.clear(); rejects(bad, {"*fresh.min_cut", "closure_cut(net, res, k)"}); bad = good; std::fill(bad.edge_flows.begin(), bad.edge_flows.end(), 0); @@ -1007,8 +1007,8 @@ TEST(FlowCoreDeletion, RerunningTheFailedSearchAddsExactlyOneSearch) { const auto req = capture_of(c); DeletionResolver rs(*req.state); std::vector fails; - std::vector> reuse_updates; - std::vector> rerun_updates; + std::vector> reuse_updates; + std::vector> rerun_updates; const auto a = observed(rs, *req.state, 0, fails, false, &reuse_updates); const auto b = observed(rs, *req.state, 0, fails, true, &rerun_updates); for (const auto& s : fails) ADD_FAILURE() << s; @@ -1019,7 +1019,7 @@ TEST(FlowCoreDeletion, RerunningTheFailedSearchAddsExactlyOneSearch) { EXPECT_EQ(run_bound_failure(*req.state, 1, b), "more Dijkstra runs than m + 2 r"); EXPECT_EQ(a.edge_flows, b.edge_flows); EXPECT_EQ(a.potentials, b.potentials); - EXPECT_EQ(a.cut, b.cut); + EXPECT_EQ(a.min_cut, b.min_cut); EXPECT_EQ(a.counters.dinic_phases, b.counters.dinic_phases); EXPECT_EQ(a.counters.augmentations, b.counters.augmentations); // The control's extra search: the counters between repair 1's last update and repair 2's @@ -1077,7 +1077,7 @@ TEST(FlowCoreDeletion, ScalingEveryCostScalesOnlyThePotentials) { const std::string where = "factor " + std::to_string(factor) + " edge " + std::to_string(e); EXPECT_EQ(got.value, want.value) << where; EXPECT_EQ(got.edge_flows, want.edge_flows) << where; - EXPECT_EQ(got.cut, want.cut) << where; + EXPECT_EQ(got.min_cut, want.min_cut) << where; ASSERT_EQ(got.potentials.size(), want.potentials.size()) << where; for (std::size_t v = 0; v < want.potentials.size(); ++v) { EXPECT_TRUE(wide(got.potentials[v]) == wide(want.potentials[v]) * factor) << where << " vertex " << v; @@ -1098,7 +1098,7 @@ TEST(FlowCoreDeletion, TotalLoss) { const auto req = capture_of(c); const auto r = DeletionResolver(*req.state).resolve(id_of_input(*c.g)[0]); EXPECT_EQ(r.value, 0); - EXPECT_TRUE(r.cut.empty()); + EXPECT_TRUE(r.min_cut.empty()); } // Zero-flow deletions with positive view capacity (the deletion changes the canonical cut, not @@ -1109,7 +1109,7 @@ TEST(FlowCoreDeletion, ZeroFlowDeletions) { const EdgeId spare = id_of_input(*positive.g)[3]; const auto req = capture_of(positive); EXPECT_EQ(req.state->edge_flows()[static_cast(spare)], 0); - FlowCoreResult base; + MinCostFlowResult base; (void)capture_of(positive, &base); const auto fresh = fresh_without(positive, spare); ASSERT_TRUE(base.min_cut.has_value() && fresh.min_cut.has_value()); @@ -1135,8 +1135,8 @@ TEST(FlowCoreDeletion, TiedFlowsDifferValueCostAndCutAgree) { EXPECT_EQ(r.value, 1); EXPECT_TRUE(flow_cost(*c.g, r.edge_flows) == 3); ASSERT_TRUE(fresh.min_cut.has_value()); - EXPECT_EQ(r.cut, *fresh.min_cut); - EXPECT_EQ(r.cut, (std::vector {0})); + EXPECT_EQ(r.min_cut, *fresh.min_cut); + EXPECT_EQ(r.min_cut, (std::vector {0})); } // Several sources and destinations; edges out of a source, into a destination and between @@ -1167,7 +1167,7 @@ TEST(FlowCoreDeletion, NearDomainCostsNeedWideWorkingPotentials) { const Cost H = Cost {1} << 61; const Case c = make_case(5, {{0, 1, 3, 3}, {0, 2, 1, 3}, {1, 2, 2, H}, {2, 3, 1, 3}, {3, 1, 1, 2}}, {0}, {3}); ASSERT_TRUE(cost_sum(*c.g) == static_cast(H) + 11); - FlowCoreResult payload; + MinCostFlowResult payload; const auto req = capture_of(c, &payload); const auto& st = *req.state; EXPECT_EQ(payload.potentials[4], kNeverReached); @@ -1235,7 +1235,7 @@ TEST(FlowCoreDeletion, ASavedStateServesCandidatesIndependently) { const std::vector pi0(st.potentials().begin(), st.potentials().end()); const DeletionState copy = st; // a copy shares the network only const Case other = random_case(rng); - (void)place_global_units(*other.g, other.view, other.sources, other.destinations, other.el(), std::nullopt); + (void)solve_min_cost_flow(*other.g, other.view, other.sources, other.destinations, other.el(), std::nullopt); const EdgeId A = positive.front(); const EdgeId B = positive.back(); DeletionResolver one(copy); @@ -1278,8 +1278,8 @@ namespace { // cost and the minimum cut (independent of the resolver). bool matches_fresh_solve(const Case& c, EdgeId e, const DeletionResult& r) { const auto fresh = fresh_without(c, e); - return r.value == fresh.placed && flow_cost(*c.g, r.edge_flows) == flow_cost(*c.g, fresh.edge_flows) && - fresh.min_cut.has_value() && r.cut == *fresh.min_cut; + return r.value == fresh.flow_value && flow_cost(*c.g, r.edge_flows) == flow_cost(*c.g, fresh.edge_flows) && + fresh.min_cut.has_value() && r.min_cut == *fresh.min_cut; } } // namespace @@ -1354,7 +1354,7 @@ TEST(FlowCoreDeletion, WorkersReadOneNetworkAndNeverWriteIt) { const auto positive = positive_edges(st); if (positive.size() < 2) continue; ++checked; - const Network before = st.network(); + const ResidualNetwork before = st.network(); std::vector want; for (EdgeId e : positive) { want.push_back(DeletionResolver(st).resolve(e)); @@ -1384,9 +1384,9 @@ TEST(FlowCoreDeletion, WorkersReadOneNetworkAndNeverWriteIt) { EXPECT_EQ(checked, 15); } -// ------------------------------------------------------------------ sensitivity +// ------------------------------------------------------- evaluate_edge_failures -// The exact model's loss is placed minus capacity() with the edge excluded, for every +// The exact model's delivery_reduction is call_delivered minus evaluate_demand() with the edge excluded, for every // candidate (the baseline's positive-flow edges), on 1, 2 and 4 workers; zero-flow edges are // not candidates. Both maxima also equal the independent Bellman-Ford curve's. TEST(Sensitivity, GlobalLossesEqualCapacityWithTheEdgeExcluded) { @@ -1394,13 +1394,13 @@ TEST(Sensitivity, GlobalLossesEqualCapacityWithTheEdgeExcluded) { int entries = 0, masked = 0, several = 0, scaled = 0, rerouted = 0, partial = 0, cut = 0; for (int trial = 0; trial < 300; ++trial) { const Case c = random_case(rng); - const QueryOptions opts {global_config(), c.el()}; - const auto base = capacity(*c.g, c.sources, c.destinations, QueryOptions {global_config(), c.el(), nullptr, + const EvaluationOptions opts {global_config(), c.el()}; + const auto base = evaluate_demand(*c.g, c.sources, c.destinations, EvaluationOptions {global_config(), c.el(), nullptr, OutputOptions {true, false, false}}); - const auto s1 = sensitivity(*c.g, c.sources, c.destinations, opts, 1); - EXPECT_EQ(s1.baseline.placed, base.placed) << trial; - const std::vector caps(c.g->capacity_units().begin(), c.g->capacity_units().end()); - EXPECT_EQ(base.placed, independent_curve(*c.g, caps, c.sources, c.destinations, c.el()).back().first) << trial; + const auto s1 = evaluate_edge_failures(*c.g, c.sources, c.destinations, opts, 1); + EXPECT_EQ(s1.baseline.call_delivered, base.call_delivered) << trial; + const std::vector caps(c.g->edge_capacity_units().begin(), c.g->edge_capacity_units().end()); + EXPECT_EQ(base.call_delivered, independent_curve(*c.g, caps, c.sources, c.destinations, c.el()).back().first) << trial; std::vector want; for (EdgeId e = 0; e < c.g->num_edges(); ++e) { if ((*base.edge_flows)[static_cast(e)] > 0) want.push_back(e); @@ -1412,27 +1412,27 @@ TEST(Sensitivity, GlobalLossesEqualCapacityWithTheEdgeExcluded) { const EdgeId one[1] = {entry.edge}; Eligibility without = c.g->eligibility({}, one); if (c.elig) without = Eligibility::intersect(*c.elig, without); - const auto fresh = capacity(*c.g, c.sources, c.destinations, QueryOptions {global_config(), &without}); - EXPECT_EQ(entry.loss, base.placed - fresh.placed) << trial << " edge " << entry.edge; + const auto fresh = evaluate_demand(*c.g, c.sources, c.destinations, EvaluationOptions {global_config(), &without}); + EXPECT_EQ(entry.delivery_reduction, base.call_delivered - fresh.call_delivered) << trial << " edge " << entry.edge; auto without_view = caps; without_view[static_cast(entry.edge)] = 0; - EXPECT_EQ(fresh.placed, independent_curve(*c.g, without_view, c.sources, c.destinations, c.el()).back().first) + EXPECT_EQ(fresh.call_delivered, independent_curve(*c.g, without_view, c.sources, c.destinations, c.el()).back().first) << trial << " edge " << entry.edge; ++entries; const Amount flow = (*base.edge_flows)[static_cast(entry.edge)]; masked += c.elig.has_value() && c.elig->uid() != 0 ? 1 : 0; several += c.sources.size() > 1 || c.destinations.size() > 1 ? 1 : 0; - scaled += c.g->max_cost() > 1000000 ? 1 : 0; - rerouted += entry.loss == 0 ? 1 : 0; - partial += entry.loss > 0 && entry.loss < flow ? 1 : 0; - cut += entry.loss == flow ? 1 : 0; + scaled += c.g->max_edge_cost() > 1000000 ? 1 : 0; + rerouted += entry.delivery_reduction == 0 ? 1 : 0; + partial += entry.delivery_reduction > 0 && entry.delivery_reduction < flow ? 1 : 0; + cut += entry.delivery_reduction == flow ? 1 : 0; } for (std::int32_t workers : {2, 4}) { - const auto sw = sensitivity(*c.g, c.sources, c.destinations, opts, workers); + const auto sw = evaluate_edge_failures(*c.g, c.sources, c.destinations, opts, workers); ASSERT_EQ(sw.entries.size(), s1.entries.size()); for (std::size_t i = 0; i < sw.entries.size(); ++i) { EXPECT_EQ(sw.entries[i].edge, s1.entries[i].edge); - EXPECT_EQ(sw.entries[i].loss, s1.entries[i].loss); + EXPECT_EQ(sw.entries[i].delivery_reduction, s1.entries[i].delivery_reduction); } } } @@ -1446,35 +1446,35 @@ TEST(Sensitivity, GlobalLossesEqualCapacityWithTheEdgeExcluded) { } // OutputOptions controls only the published baseline: every combination captures the same state -// (the same entries) and the baseline's optional fields are capacity()'s. +// (the same entries) and the baseline's optional fields are evaluate_demand()'s. TEST(Sensitivity, GlobalBaselineKeepsEveryOutputsCombination) { const Case c = make_case(5, {{0, 1, 2, 1}, {1, 2, 2, 1}, {1, 3, 1, 2}, {3, 2, 1, 2}, {2, 4, 2, 1}, {0, 3, 1, 5}}, {0}, {4}); - const auto reference = sensitivity(*c.g, c.sources, c.destinations, QueryOptions {global_config()}, 1); + const auto reference = evaluate_edge_failures(*c.g, c.sources, c.destinations, EvaluationOptions {global_config()}, 1); ASSERT_FALSE(reference.entries.empty()); for (int bits = 0; bits < 16; ++bits) { const OutputOptions outputs {(bits & 1) != 0, (bits & 2) != 0, (bits & 4) != 0, (bits & 8) != 0}; - QueryOptions opts {global_config()}; + EvaluationOptions opts {global_config()}; opts.outputs = outputs; - const auto s = sensitivity(*c.g, c.sources, c.destinations, opts, 1); - const auto cap = capacity(*c.g, c.sources, c.destinations, QueryOptions {global_config(), nullptr, nullptr, outputs}); - EXPECT_EQ(s.baseline.placed, cap.placed) << bits; - EXPECT_EQ(s.baseline.cost_distribution, cap.cost_distribution) << bits; + const auto s = evaluate_edge_failures(*c.g, c.sources, c.destinations, opts, 1); + const auto cap = evaluate_demand(*c.g, c.sources, c.destinations, EvaluationOptions {global_config(), nullptr, nullptr, outputs}); + EXPECT_EQ(s.baseline.call_delivered, cap.call_delivered) << bits; + EXPECT_EQ(s.baseline.marginal_cost_curve, cap.marginal_cost_curve) << bits; EXPECT_EQ(s.baseline.edge_flows, cap.edge_flows) << bits; EXPECT_EQ(s.baseline.residual, cap.residual) << bits; - EXPECT_EQ(s.baseline.bottleneck, cap.bottleneck) << bits; + EXPECT_EQ(s.baseline.saturated_boundary_edges, cap.saturated_boundary_edges) << bits; EXPECT_EQ(s.baseline.min_cut, cap.min_cut) << bits; - // Each requested output is present, each other one absent; Global's curve always, and its + // Each requested output is present, each other one absent; CentralizedTE's curve always, and its // min_cut when requested (the uncapped baseline is maximal). EXPECT_EQ(s.baseline.edge_flows.has_value(), outputs.edge_flows) << bits; EXPECT_EQ(s.baseline.residual.has_value(), outputs.residual) << bits; - EXPECT_EQ(s.baseline.bottleneck.has_value(), outputs.bottleneck) << bits; + EXPECT_EQ(s.baseline.saturated_boundary_edges.has_value(), outputs.saturated_boundary_edges) << bits; EXPECT_EQ(s.baseline.min_cut.has_value(), outputs.min_cut) << bits; - EXPECT_TRUE(s.baseline.cost_distribution.has_value()) << bits; + EXPECT_TRUE(s.baseline.marginal_cost_curve.has_value()) << bits; ASSERT_EQ(s.entries.size(), reference.entries.size()) << bits; for (std::size_t i = 0; i < s.entries.size(); ++i) { EXPECT_EQ(s.entries[i].edge, reference.entries[i].edge) << bits; - EXPECT_EQ(s.entries[i].loss, reference.entries[i].loss) << bits; + EXPECT_EQ(s.entries[i].delivery_reduction, reference.entries[i].delivery_reduction) << bits; } } } diff --git a/tests/cpp/flow_core_tests.cpp b/tests/cpp/min_cost_flow_tests.cpp similarity index 89% rename from tests/cpp/flow_core_tests.cpp rename to tests/cpp/min_cost_flow_tests.cpp index f31b5ad..336863f 100644 --- a/tests/cpp/flow_core_tests.cpp +++ b/tests/cpp/min_cost_flow_tests.cpp @@ -13,7 +13,7 @@ #include #include -#include "netgraph/core/detail/flow_core.hpp" +#include "netgraph/core/detail/min_cost_flow.hpp" #include "test_utils.hpp" using namespace netgraph::core; @@ -30,7 +30,7 @@ constexpr Amount kL62m1 = (Amount{1} << 62) - 1; // reach t* and stops at t*'s level, so it examines a different number of arcs than the // reference's full BFS); it is checked for determinism and presence only. using Counters = std::vector; -Counters counters_of(const FlowCoreResult& r) { +Counters counters_of(const MinCostFlowResult& r) { const auto& c = r.counters; EXPECT_GE(c.arc_scans, c.dijkstra_runs > 0 ? 1 : 0); return {c.dijkstra_runs, c.dijkstra_pops, c.settled, c.dinic_phases, c.augmentations}; @@ -42,9 +42,9 @@ std::vector chain_plus_bypasses(Cost factor = 1) { } void expect_certified(const Graph& g, const std::vector& s, const std::vector& d, - std::optional cap, const FlowCoreResult& r, const std::vector* view = nullptr, + std::optional cap, const MinCostFlowResult& r, const std::vector* view = nullptr, const Eligibility* elig = nullptr, bool tier_a = true) { - std::vector full(g.capacity_units().begin(), g.capacity_units().end()); + std::vector full(g.edge_capacity_units().begin(), g.edge_capacity_units().end()); const auto& v = view ? *view : full; const auto fails = certify(g, v, s, d, cap, elig, r, tier_a); EXPECT_TRUE(fails.empty()) << (fails.empty() ? "" : fails.front()); @@ -58,10 +58,10 @@ TEST(FlowCore, ConstructAndSolve) { EXPECT_EQ(g.num_nodes(), 3); EXPECT_EQ(g.num_edges(), 3); const auto r = solve(g, {0}, {2}, std::nullopt); - EXPECT_EQ(r.placed, 20); - ASSERT_EQ(r.cost_distribution.size(), 2u); - EXPECT_EQ(r.cost_distribution[0], (std::pair {30, 10})); // 0 -> 1 -> 2 first - EXPECT_EQ(r.cost_distribution[1], (std::pair {100, 10})); // then the direct edge + EXPECT_EQ(r.flow_value, 20); + ASSERT_EQ(r.marginal_cost_curve.size(), 2u); + EXPECT_EQ(r.marginal_cost_curve[0], (std::pair {30, 10})); // 0 -> 1 -> 2 first + EXPECT_EQ(r.marginal_cost_curve[1], (std::pair {100, 10})); // then the direct edge expect_certified(g, {0}, {2}, std::nullopt, r); } @@ -74,8 +74,8 @@ TEST(FlowCore, QuantisedCapacitiesFamily) { ASSERT_EQ(b, 1); auto g = make_graph(3, {{0, 1, a, 1}, {1, 2, a, 1}, {0, 2, b, 3}}, q); auto r = solve(g, {0}, {2}, std::nullopt); - EXPECT_EQ(r.placed, 4); - EXPECT_EQ(r.cost_distribution, curve({{2, 3}, {3, 1}})); + EXPECT_EQ(r.flow_value, 4); + EXPECT_EQ(r.marginal_cost_curve, curve({{2, 3}, {3, 1}})); ASSERT_TRUE(r.min_cut.has_value()); EXPECT_EQ(ids_to_input(g, *r.min_cut), (std::vector{0, 2})); EXPECT_EQ(r.potentials, (std::vector{0, 2, 3})); @@ -87,15 +87,15 @@ TEST(FlowCore, ChainPlusBypassesCancellation) { // A chain with bypasses: value 2 needs the middle edge cancelled. auto g = make_graph(4, chain_plus_bypasses()); auto one = solve(g, {0}, {3}, 1); - EXPECT_EQ(one.placed, 1); - EXPECT_EQ(one.cost_distribution, curve({{3, 1}})); + EXPECT_EQ(one.flow_value, 1); + EXPECT_EQ(one.marginal_cost_curve, curve({{3, 1}})); EXPECT_EQ(to_input(g, one.edge_flows), (std::vector{1, 1, 1, 0, 0})); EXPECT_FALSE(one.min_cut.has_value()); // value 1 of a maximum 2: no cut EXPECT_EQ(counters_of(one), (Counters{1, 8, 6, 1, 1})); expect_certified(g, {0}, {3}, 1, one); auto two = solve(g, {0}, {3}, 2); - EXPECT_EQ(two.placed, 2); - EXPECT_EQ(two.cost_distribution, curve({{3, 1}, {5, 1}})); // C(1) = 3, C(2) = 8 + EXPECT_EQ(two.flow_value, 2); + EXPECT_EQ(two.marginal_cost_curve, curve({{3, 1}, {5, 1}})); // C(1) = 3, C(2) = 8 EXPECT_EQ(to_input(g, two.edge_flows), (std::vector{1, 0, 1, 1, 1})); ASSERT_TRUE(two.min_cut.has_value()); EXPECT_EQ(ids_to_input(g, *two.min_cut), (std::vector{0, 3})); @@ -103,8 +103,8 @@ TEST(FlowCore, ChainPlusBypassesCancellation) { EXPECT_EQ(counters_of(two), (Counters{2, 14, 12, 3, 2})); expect_certified(g, {0}, {3}, 2, two); auto inf = solve(g, {0}, {3}, std::nullopt); - EXPECT_EQ(inf.placed, 2); - EXPECT_EQ(inf.cost_distribution, two.cost_distribution); + EXPECT_EQ(inf.flow_value, 2); + EXPECT_EQ(inf.marginal_cost_curve, two.marginal_cost_curve); EXPECT_EQ(inf.edge_flows, two.edge_flows); EXPECT_EQ(inf.min_cut, two.min_cut); EXPECT_EQ(counters_of(inf), (Counters{3, 16, 14, 4, 2})); // the final failed Dijkstra @@ -115,17 +115,17 @@ TEST(FlowCore, ChainPlusBypassesMasksAndCostFactors) { // The middle edge disabled by a zero view or excluded by Eligibility: curve [(4, 2)]. auto g = make_graph(4, chain_plus_bypasses()); const auto inv = id_of_input(g); - std::vector view(g.capacity_units().begin(), g.capacity_units().end()); + std::vector view(g.edge_capacity_units().begin(), g.edge_capacity_units().end()); view[static_cast(inv[1])] = 0; auto zero = solve(g, {0}, {3}, std::nullopt, &view); - EXPECT_EQ(zero.cost_distribution, curve({{4, 2}})); + EXPECT_EQ(zero.marginal_cost_curve, curve({{4, 2}})); EXPECT_EQ(to_input(g, zero.edge_flows), (std::vector{1, 0, 1, 1, 1})); EXPECT_EQ(zero.potentials, (std::vector{0, 1, 3, 4})); expect_certified(g, {0}, {3}, std::nullopt, zero, &view); const std::vector excluded = {inv[1]}; auto el = g.eligibility({}, excluded); auto masked = solve(g, {0}, {3}, std::nullopt, nullptr, &el); - EXPECT_EQ(masked.cost_distribution, curve({{4, 2}})); + EXPECT_EQ(masked.marginal_cost_curve, curve({{4, 2}})); EXPECT_EQ(masked.edge_flows, zero.edge_flows); EXPECT_EQ(masked.min_cut, zero.min_cut); expect_certified(g, {0}, {3}, std::nullopt, masked, nullptr, &el); @@ -133,7 +133,7 @@ TEST(FlowCore, ChainPlusBypassesMasksAndCostFactors) { const std::vector xn = {1}; auto el_node = g.eligibility(xn, {}); auto node_masked = solve(g, {0}, {3}, std::nullopt, nullptr, &el_node); - EXPECT_EQ(node_masked.cost_distribution, curve({{4, 1}})); + EXPECT_EQ(node_masked.marginal_cost_curve, curve({{4, 1}})); EXPECT_EQ(node_masked.potentials[1], kNeverReached); expect_certified(g, {0}, {3}, std::nullopt, node_masked, nullptr, &el_node); // Scaling every cost by a factor scales the curve and the potentials; the flows, the cut and @@ -142,10 +142,10 @@ TEST(FlowCore, ChainPlusBypassesMasksAndCostFactors) { auto gf = make_graph(4, chain_plus_bypasses(factor)); auto base = solve(g, {0}, {3}, std::nullopt); auto scaled = solve(gf, {0}, {3}, std::nullopt); - ASSERT_EQ(scaled.cost_distribution.size(), base.cost_distribution.size()); - for (std::size_t i = 0; i < base.cost_distribution.size(); ++i) { - EXPECT_EQ(scaled.cost_distribution[i].first, factor * base.cost_distribution[i].first); - EXPECT_EQ(scaled.cost_distribution[i].second, base.cost_distribution[i].second); + ASSERT_EQ(scaled.marginal_cost_curve.size(), base.marginal_cost_curve.size()); + for (std::size_t i = 0; i < base.marginal_cost_curve.size(); ++i) { + EXPECT_EQ(scaled.marginal_cost_curve[i].first, factor * base.marginal_cost_curve[i].first); + EXPECT_EQ(scaled.marginal_cost_curve[i].second, base.marginal_cost_curve[i].second); } for (std::size_t v = 0; v < base.potentials.size(); ++v) { EXPECT_EQ(scaled.potentials[v], factor * base.potentials[v]); @@ -163,8 +163,8 @@ TEST(FlowCore, EqualCostTierNeedsTwoDinicPhases) { // tier's last unsuccessful one). auto g = make_graph(4, {{0, 3, 1, 3}, {0, 1, 1, 1}, {1, 2, 1, 1}, {2, 3, 1, 1}}); auto r = solve(g, {0}, {3}, std::nullopt); - EXPECT_EQ(r.placed, 2); - EXPECT_EQ(r.cost_distribution, curve({{3, 2}})); + EXPECT_EQ(r.flow_value, 2); + EXPECT_EQ(r.marginal_cost_curve, curve({{3, 2}})); EXPECT_EQ(r.counters.dijkstra_runs, 2); EXPECT_EQ(r.counters.dinic_phases, 3); EXPECT_EQ(counters_of(r), (Counters{2, 8, 8, 3, 2})); @@ -178,14 +178,14 @@ TEST(FlowCore, CyclicAdmissibleNeedsUpdateBeforeDrain) { // the same tier. auto g = make_graph(2, {{0, 1, 1, 1}, {0, 1, 1, 1}}); auto r = solve(g, {0}, {1}, 2); - EXPECT_EQ(r.placed, 2); - EXPECT_EQ(r.cost_distribution, curve({{1, 2}})); + EXPECT_EQ(r.flow_value, 2); + EXPECT_EQ(r.marginal_cost_curve, curve({{1, 2}})); EXPECT_EQ(counters_of(r), (Counters{1, 4, 4, 1, 2})); expect_certified(g, {0}, {1}, 2, r); // A partial drain: cap 1 stops inside the tier; the destinations stay connected. auto p = solve(g, {0}, {1}, 1); - EXPECT_EQ(p.placed, 1); - EXPECT_EQ(p.cost_distribution, curve({{1, 1}})); + EXPECT_EQ(p.flow_value, 1); + EXPECT_EQ(p.marginal_cost_curve, curve({{1, 1}})); EXPECT_FALSE(p.min_cut.has_value()); EXPECT_EQ(counters_of(p), (Counters{1, 4, 4, 1, 1})); expect_certified(g, {0}, {1}, 1, p); @@ -196,8 +196,8 @@ TEST(FlowCore, FailedFinalRunRaisesPotentials) { // the failed final run; dual feasibility is claimed inside the closure {0, 3} only. auto g = make_graph(4, {{0, 1, 1, 1}, {1, 2, 1, 1}, {1, 3, 1, 7}, {0, 3, 1, 10}}); auto r = solve(g, {0}, {2}, std::nullopt); - EXPECT_EQ(r.placed, 1); - EXPECT_EQ(r.cost_distribution, curve({{2, 1}})); + EXPECT_EQ(r.flow_value, 1); + EXPECT_EQ(r.marginal_cost_curve, curve({{2, 1}})); EXPECT_EQ(r.potentials, (std::vector{0, 1, 2, 10})); ASSERT_TRUE(r.min_cut.has_value()); EXPECT_EQ(ids_to_input(g, *r.min_cut), (std::vector{0})); @@ -212,7 +212,7 @@ TEST(FlowCore, FreshSolveUsesReleasedCheapEdge) { const std::vector view = to_ids(g, std::vector{1, 1, 1}); auto r = solve(g, {0}, {2}, 1, &view); EXPECT_EQ(to_input(g, r.edge_flows), (std::vector{1, 0, 1})); - EXPECT_EQ(r.cost_distribution, curve({{2, 1}})); + EXPECT_EQ(r.marginal_cost_curve, curve({{2, 1}})); std::vector residual(view.size()); for (std::size_t e = 0; e < view.size(); ++e) residual[e] = view[e] - r.edge_flows[e]; EXPECT_EQ(to_input(g, residual), (std::vector{0, 1, 0})); @@ -224,19 +224,19 @@ TEST(FlowCore, AttainedValueUnderCapAndInfinity) { // The attained value under a cap, without one and at the internal cap, on one edge of capacity 3 and cost 7. auto g = make_graph(2, {{0, 1, 3, 7}}); auto c2 = solve(g, {0}, {1}, 2); - EXPECT_EQ(c2.placed, 2); + EXPECT_EQ(c2.flow_value, 2); EXPECT_FALSE(c2.min_cut.has_value()); EXPECT_EQ(counters_of(c2), (Counters{1, 4, 4, 1, 1})); expect_certified(g, {0}, {1}, 2, c2); auto c3 = solve(g, {0}, {1}, 3); - EXPECT_EQ(c3.placed, 3); + EXPECT_EQ(c3.flow_value, 3); ASSERT_TRUE(c3.min_cut.has_value()); EXPECT_EQ(*c3.min_cut, (std::vector{0})); EXPECT_EQ(counters_of(c3), (Counters{1, 4, 4, 1, 1})); // the cap stops before a failed run expect_certified(g, {0}, {1}, 3, c3); auto inf = solve(g, {0}, {1}, std::nullopt); - EXPECT_EQ(inf.placed, 3); - EXPECT_EQ(inf.cost_distribution, curve({{7, 3}})); + EXPECT_EQ(inf.flow_value, 3); + EXPECT_EQ(inf.marginal_cost_curve, curve({{7, 3}})); EXPECT_EQ(counters_of(inf), (Counters{2, 6, 6, 2, 1})); expect_certified(g, {0}, {1}, std::nullopt, inf); // The internal cap 2^63 - 2: the solve runs to disconnection (no clamp). @@ -249,8 +249,8 @@ TEST(FlowCore, ZeroCapIsThePrescribedZeroPayload) { // A zero cap: no flow, no cut, every potential the never-reached sentinel, no work counted. auto g = make_graph(4, {{0, 1, 2, 1}, {1, 2, 2, 2}, {3, 2, 1, 1}}); auto r = solve(g, {0}, {2}, 0); - EXPECT_EQ(r.placed, 0); - EXPECT_TRUE(r.cost_distribution.empty()); + EXPECT_EQ(r.flow_value, 0); + EXPECT_TRUE(r.marginal_cost_curve.empty()); EXPECT_EQ(r.edge_flows, (std::vector{0, 0, 0})); EXPECT_FALSE(r.min_cut.has_value()); EXPECT_EQ(r.potentials, (std::vector(4, kNeverReached))); @@ -265,8 +265,8 @@ TEST(FlowCore, PositiveCapOnZeroView) { auto g = make_graph(3, {{0, 1, 5, 1}, {1, 2, 5, 1}}); const std::vector view = to_ids(g, std::vector{0, 5}); auto r = solve(g, {0}, {2}, 4, &view); - EXPECT_EQ(r.placed, 0); - EXPECT_TRUE(r.cost_distribution.empty()); + EXPECT_EQ(r.flow_value, 0); + EXPECT_TRUE(r.marginal_cost_curve.empty()); ASSERT_TRUE(r.min_cut.has_value()); EXPECT_EQ(*r.min_cut, (std::vector{0})); EXPECT_EQ(r.potentials, (std::vector{0, kNeverReached, kNeverReached})); @@ -275,7 +275,7 @@ TEST(FlowCore, PositiveCapOnZeroView) { // An all-zero view behaves the same way. const std::vector zeros(2, 0); auto z = solve(g, {0}, {2}, 1, &zeros); - EXPECT_EQ(z.placed, 0); + EXPECT_EQ(z.flow_value, 0); ASSERT_TRUE(z.min_cut.has_value()); EXPECT_EQ(*z.min_cut, (std::vector{0})); EXPECT_EQ(z.potentials[0], 0); @@ -287,8 +287,8 @@ TEST(FlowCore, LegalMaximumUnits) { // sources, so the cut holds the real edge (virtual arcs never saturate). auto g = make_graph(2, {{0, 1, kL62m1, 1}}); auto r = solve(g, {0}, {1}, std::nullopt); - EXPECT_EQ(r.placed, kL62m1); - EXPECT_EQ(r.cost_distribution, curve({{1, kL62m1}})); + EXPECT_EQ(r.flow_value, kL62m1); + EXPECT_EQ(r.marginal_cost_curve, curve({{1, kL62m1}})); ASSERT_TRUE(r.min_cut.has_value()); EXPECT_EQ(*r.min_cut, (std::vector{0})); EXPECT_EQ(r.potentials, (std::vector{0, 1})); @@ -296,11 +296,11 @@ TEST(FlowCore, LegalMaximumUnits) { // A sum of capacities at 2^62 - 1 split over parallel paths with large costs. auto h = make_graph(3, {{0, 1, kL62m1 - 10, (Amount{1} << 60)}, {0, 2, 5, 3}, {2, 1, 5, (Amount{1} << 60)}}); auto rh = solve(h, {0}, {1}, std::nullopt); - EXPECT_EQ(rh.placed, kL62m1 - 5); - EXPECT_EQ(rh.cost_distribution, curve({{(Amount{1} << 60), kL62m1 - 10}, {(Amount{1} << 60) + 3, 5}})); + EXPECT_EQ(rh.flow_value, kL62m1 - 5); + EXPECT_EQ(rh.marginal_cost_curve, curve({{(Amount{1} << 60), kL62m1 - 10}, {(Amount{1} << 60) + 3, 5}})); expect_certified(h, {0}, {1}, std::nullopt, rh, nullptr, nullptr, /*tier_a=*/false); auto capped = solve(h, {0}, {1}, kL62m1 - 6); - EXPECT_EQ(capped.placed, kL62m1 - 6); + EXPECT_EQ(capped.flow_value, kL62m1 - 6); EXPECT_FALSE(capped.min_cut.has_value()); expect_certified(h, {0}, {1}, kL62m1 - 6, capped, nullptr, nullptr, /*tier_a=*/false); } @@ -310,14 +310,14 @@ TEST(FlowCore, EndpointSetsAndVirtualTerminals) { // inflow, so both carry pi(t*) = 2. auto g = make_graph(3, {{0, 1, 1, 1}, {0, 2, 1, 2}}); auto r = solve(g, {0}, {1, 2}, std::nullopt); - EXPECT_EQ(r.placed, 2); - EXPECT_EQ(r.cost_distribution, curve({{1, 1}, {2, 1}})); + EXPECT_EQ(r.flow_value, 2); + EXPECT_EQ(r.marginal_cost_curve, curve({{1, 1}, {2, 1}})); EXPECT_EQ(r.potentials, (std::vector{0, 2, 2})); expect_certified(g, {0}, {1, 2}, std::nullopt, r); // Source transit is dominated: source 0 supplies nothing. auto t = make_graph(3, {{0, 1, 1, 1}, {1, 2, 2, 1}}); auto rt = solve(t, {0, 1}, {2}, std::nullopt); - EXPECT_EQ(rt.placed, 2); + EXPECT_EQ(rt.flow_value, 2); EXPECT_EQ(to_input(t, rt.edge_flows), (std::vector{0, 2})); EXPECT_EQ(rt.potentials, (std::vector{0, 0, 1})); expect_certified(t, {0, 1}, {2}, std::nullopt, rt); @@ -329,7 +329,7 @@ TEST(FlowCore, ClosureAndSentinels) { // The cut: the closure follows reverse arcs, so the forward-only boundary is wrong. auto g = make_graph(5, {{0, 1, 1, 1}, {0, 2, 1, 1}, {1, 3, 1, 1}, {2, 3, 1, 1}, {3, 4, 1, 1}}); auto r = solve(g, {0}, {4}, std::nullopt); - EXPECT_EQ(r.placed, 1); + EXPECT_EQ(r.flow_value, 1); ASSERT_TRUE(r.min_cut.has_value()); EXPECT_EQ(ids_to_input(g, *r.min_cut), (std::vector{4})); expect_certified(g, {0}, {4}, std::nullopt, r); @@ -346,7 +346,7 @@ TEST(FlowCore, ExcludedEndpointsAreSkipped) { const std::vector x0 = {0}; auto no_source = g.eligibility(x0, {}); auto r = solve(g, {0}, {2}, std::nullopt, nullptr, &no_source); - EXPECT_EQ(r.placed, 0); + EXPECT_EQ(r.flow_value, 0); ASSERT_TRUE(r.min_cut.has_value()); EXPECT_TRUE(r.min_cut->empty()); EXPECT_EQ(r.potentials, (std::vector(3, kNeverReached))); @@ -354,12 +354,12 @@ TEST(FlowCore, ExcludedEndpointsAreSkipped) { const std::vector x2 = {2}; auto no_dest = g.eligibility(x2, {}); auto rd = solve(g, {0}, {2}, std::nullopt, nullptr, &no_dest); - EXPECT_EQ(rd.placed, 0); + EXPECT_EQ(rd.flow_value, 0); EXPECT_EQ(rd.potentials, (std::vector{0, 1, kNeverReached})); expect_certified(g, {0}, {2}, std::nullopt, rd, nullptr, &no_dest); // One allowed source of two. auto rs = solve(g, {0, 1}, {2}, std::nullopt, nullptr, &no_source); - EXPECT_EQ(rs.placed, 2); + EXPECT_EQ(rs.flow_value, 2); expect_certified(g, {0, 1}, {2}, std::nullopt, rs, nullptr, &no_source); } @@ -372,7 +372,7 @@ TEST(FlowCore, MaskedSolvesReachTheValueOfTheirCuts) { for (auto i : mask) excluded.push_back(inv[static_cast(i)]); auto el = g.eligibility({}, excluded); auto r = solve(g, {0, 1}, {3, 4}, std::nullopt, nullptr, &el); - EXPECT_EQ(r.placed, expect); + EXPECT_EQ(r.flow_value, expect); expect_certified(g, {0, 1}, {3, 4}, std::nullopt, r, nullptr, &el); } } @@ -384,11 +384,11 @@ TEST(FlowCore, InputValidationBeforeAnyWork) { const std::vector s = {0}, d = {2}; auto call = [&](std::vector v, std::vector src, std::vector dst, std::optional cap, const Eligibility* el = nullptr) { - return error_of([&] { (void)place_global_units(g, v, src, dst, el, cap); }); + return error_of([&] { (void)solve_min_cost_flow(g, v, src, dst, el, cap); }); }; EXPECT_EQ(call({2}, s, d, 1), "view has length 1, expected 2 (one entry per edge)"); - EXPECT_EQ(call({2, 3}, s, d, 1), "view[1] = 3 is outside [0, capacity_units[1] = 2]"); - EXPECT_EQ(call({-1, 2}, s, d, 1), "view[0] = -1 is outside [0, capacity_units[0] = 2]"); + EXPECT_EQ(call({2, 3}, s, d, 1), "view[1] = 3 is outside [0, edge_capacity_units[1] = 2]"); + EXPECT_EQ(call({-1, 2}, s, d, 1), "view[0] = -1 is outside [0, edge_capacity_units[0] = 2]"); EXPECT_EQ(call(view, {}, d, 1), "sources: the node set is empty"); EXPECT_EQ(call(view, s, {}, 1), "destinations: the node set is empty"); EXPECT_EQ(call(view, {3}, d, 1), "sources: node 3 out of node range [0, 3)"); @@ -421,10 +421,10 @@ TEST(FlowCore, ViewDefectsReportTheFirstInOrder) { const auto other = make_graph(4, {{0, 1, 2, 1}}); const auto foreign = other.eligibility(); for (const auto& c : edge_amount_defects()) { - EXPECT_EQ(error_of([&] { (void)place_global_units(g, c.amounts, {}, {}, &foreign, -1); }), "view" + c.error); + EXPECT_EQ(error_of([&] { (void)solve_min_cost_flow(g, c.amounts, {}, {}, &foreign, -1); }), "view" + c.error); } const auto bounds = edge_amounts_at_the_bounds(); - EXPECT_EQ(place_global_units(g, bounds, v({0}), v({3}), nullptr, std::nullopt).placed, 0); + EXPECT_EQ(solve_min_cost_flow(g, bounds, v({0}), v({3}), nullptr, std::nullopt).flow_value, 0); } // A solve numbers its network in int32: the N real vertices plus s* and t*, and two arc slots per @@ -477,7 +477,7 @@ TEST(FlowCore, IdenticalCallsIdenticalPayloads) { auto a = solve(g, {0, 1}, {10, 11}, std::nullopt); auto b = solve(g, {0, 1}, {10, 11}, std::nullopt); EXPECT_TRUE(same_payload(a, b)); - positive += a.placed > 0; + positive += a.flow_value > 0; } EXPECT_GT(positive, 10); // two empty payloads would be identical too } @@ -493,11 +493,11 @@ struct RandomCase { std::vector xe; }; -RandomCase random_case(std::mt19937& rng, int n, int m, Amount max_cap, Cost max_cost, bool masks) { +RandomCase random_case(std::mt19937& rng, int n, int m, Amount max_cap, Cost max_edge_cost, bool masks) { std::vector edges; for (int e = 0; e < m; ++e) { edges.push_back({static_cast(rng() % n), static_cast(rng() % n), - static_cast(rng() % (max_cap + 1)), static_cast(1 + rng() % max_cost)}); + static_cast(rng() % (max_cap + 1)), static_cast(1 + rng() % max_edge_cost)}); } auto g = make_graph(n, edges); std::vector nodes(static_cast(n)); @@ -508,7 +508,7 @@ RandomCase random_case(std::mt19937& rng, int n, int m, Amount max_cap, Cost max std::vector s(nodes.begin(), nodes.begin() + ns); std::vector d(nodes.begin() + ns, nodes.begin() + std::min(n, ns + nd)); std::vector view; - for (Amount c : g.capacity_units()) view.push_back(rng() % 4 == 0 ? static_cast(rng() % (c + 1)) : c); + for (Amount c : g.edge_capacity_units()) view.push_back(rng() % 4 == 0 ? static_cast(rng() % (c + 1)) : c); std::optional cap; switch (rng() % 5) { case 0: cap = std::nullopt; break; @@ -533,7 +533,7 @@ struct Population { int masked = 0; int capped = 0; int zero_cap = 0; - void count(const RandomCase& c, const Eligibility* elig, const FlowCoreResult& r) { + void count(const RandomCase& c, const Eligibility* elig, const MinCostFlowResult& r) { masked += elig != nullptr ? 1 : 0; capped += c.cap.has_value() && *c.cap > 0 && !r.min_cut.has_value() ? 1 : 0; zero_cap += c.cap == Amount {0} ? 1 : 0; @@ -560,10 +560,10 @@ TEST(FlowCore, RandomGraphsTierAExhaustive) { std::optional el; if (!c.xn.empty() || !c.xe.empty()) el = c.g.eligibility(c.xn, c.xe); const Eligibility* elp = el ? &*el : nullptr; - auto r = place_global_units(c.g, c.view, c.s, c.d, elp, c.cap); + auto r = solve_min_cost_flow(c.g, c.view, c.s, c.d, elp, c.cap); const auto fails = certify(c.g, c.view, c.s, c.d, c.cap, elp, r, true); ASSERT_TRUE(fails.empty()) << "trial " << trial << ": " << fails.front(); - positive += r.placed > 0; + positive += r.flow_value > 0; kinds.count(c, elp, r); } EXPECT_GT(positive, 250); // the population is not vacuous @@ -583,17 +583,17 @@ TEST(FlowCore, RandomGraphsTierBIndependent) { std::optional el; if (!c.xn.empty() || !c.xe.empty()) el = c.g.eligibility(c.xn, c.xe); const Eligibility* elp = el ? &*el : nullptr; - auto r = place_global_units(c.g, c.view, c.s, c.d, elp, c.cap); + auto r = solve_min_cost_flow(c.g, c.view, c.s, c.d, elp, c.cap); const auto fails = certify(c.g, c.view, c.s, c.d, c.cap, elp, r, false); ASSERT_TRUE(fails.empty()) << "trial " << trial << ": " << fails.front(); - multi_tier += r.cost_distribution.size() > 1; + multi_tier += r.marginal_cost_curve.size() > 1; kinds.count(c, elp, r); } EXPECT_GT(multi_tier, 30); kinds.expect_at_least(30, 15, 10); // 64, 35 and 23 at this seed with libc++ (as above) } -// The independent solver is tier b's only optimum (and the deletion and Global tests'), so it is +// The independent solver is tier b's only optimum (and the deletion and CentralizedTE tests'), so it is // itself checked against the exhaustive optimum: on small random graphs with partial views, // endpoint sets and masks, its curve has the same maximum and equals the minimum cost of every // integer value, many of them after two augmentations or more. @@ -643,12 +643,12 @@ TEST(FlowCore, RandomLargeUnitsTierB) { static_cast(1 + rng() % (std::uint64_t{1} << 40))}); } auto g = make_graph(n, edges); - std::vector view(g.capacity_units().begin(), g.capacity_units().end()); - auto r = place_global_units(g, view, std::vector{0}, std::vector{static_cast(n - 1)}, + std::vector view(g.edge_capacity_units().begin(), g.edge_capacity_units().end()); + auto r = solve_min_cost_flow(g, view, std::vector{0}, std::vector{static_cast(n - 1)}, nullptr, std::nullopt); const auto fails = certify(g, view, {0}, {n - 1}, std::nullopt, nullptr, r, false); ASSERT_TRUE(fails.empty()) << "trial " << trial << ": " << fails.front(); - positive += r.placed > 0; + positive += r.flow_value > 0; } // Only a positive flow reaches the arithmetic near the bound, and many of these sparse random // graphs place nothing, so the trials that place something are counted. @@ -662,7 +662,7 @@ TEST(FlowCore, CertificateRejectsMutatedPayloads) { std::vector v1 = {3}; auto under = solve(one, {0}, {1}, 1); ASSERT_TRUE(certify(one, v1, {0}, {1}, 1, nullptr, under, true).empty()); - // Placed 1 under cap 2 with the edge still open. + // A flow of 1 under cap 2 with the edge still open. EXPECT_TRUE(has_failure(certify(one, v1, {0}, {1}, 2, nullptr, under, true), "attained value: early stop")); // The same payload without a cap, in both branches: an uncapped solve must be maximal, so the // two clauses that prove it fail and nothing else does (the curve up to the placed unit is @@ -675,22 +675,22 @@ TEST(FlowCore, CertificateRejectsMutatedPayloads) { } auto slope = solve(one, {0}, {1}, 2); ASSERT_TRUE(certify(one, v1, {0}, {1}, 2, nullptr, slope, true).empty()); - slope.cost_distribution = curve({{6, 2}}); // moment 12, the flow costs 14 + slope.marginal_cost_curve = curve({{6, 2}}); // moment 12, the flow costs 14 EXPECT_TRUE(has_failure(certify(one, v1, {0}, {1}, 2, nullptr, slope, true), "curve moment differs")); // The curve-shape clauses, each the only failure in both branches: an entry of volume 0 before // the real one (an empty curve segment, which the curve comparison must skip, not divide by its // zero length), and the one tier split in two at the same cost. Total, moment and pi(t*) hold. auto full = solve(one, {0}, {1}, std::nullopt); - ASSERT_EQ(full.cost_distribution, curve({{7, 3}})); + ASSERT_EQ(full.marginal_cost_curve, curve({{7, 3}})); for (const bool tier_a : {true, false}) { ASSERT_TRUE(certify(one, v1, {0}, {1}, std::nullopt, nullptr, full, tier_a).empty()) << tier_a; auto empty_entry = full; - empty_entry.cost_distribution = curve({{6, 0}, {7, 3}}); + empty_entry.marginal_cost_curve = curve({{6, 0}, {7, 3}}); EXPECT_EQ(certify(one, v1, {0}, {1}, std::nullopt, nullptr, empty_entry, tier_a), std::vector {"curve volume not positive"}) << tier_a; auto split = full; - split.cost_distribution = curve({{7, 1}, {7, 2}}); + split.marginal_cost_curve = curve({{7, 1}, {7, 2}}); EXPECT_EQ(certify(one, v1, {0}, {1}, std::nullopt, nullptr, split, tier_a), std::vector {"curve costs not strictly increasing"}) << tier_a; @@ -703,7 +703,7 @@ TEST(FlowCore, CertificateRejectsMutatedPayloads) { std::vector vp = {1, 1}; auto omitted = solve(par, {0}, {1}, std::nullopt); ASSERT_TRUE(certify(par, vp, {0}, {1}, std::nullopt, nullptr, omitted, true).empty()); - omitted.cost_distribution = curve({{2, 2}}); // same moment, omitted breakpoint at 1 + omitted.marginal_cost_curve = curve({{2, 2}}); // same moment, omitted breakpoint at 1 EXPECT_TRUE(has_failure(certify(par, vp, {0}, {1}, std::nullopt, nullptr, omitted, true), "curve differs from the exhaustive optimum at 1")); EXPECT_TRUE(has_failure(certify(par, vp, {0}, {1}, std::nullopt, nullptr, omitted, false), @@ -748,7 +748,7 @@ TEST(FlowCore, CertificateRejectsMutatedPayloads) { std::vector vc = {2, 2}; auto leak = solve(chain, {0}, {2}, std::nullopt); ASSERT_TRUE(certify(chain, vc, {0}, {2}, std::nullopt, nullptr, leak, true).empty()); - const auto out_of_1 = static_cast(chain.edge_src()[0] == 1 ? 0 : 1); + const auto out_of_1 = static_cast(chain.edge_sources()[0] == 1 ? 0 : 1); leak.edge_flows[out_of_1] = 1; EXPECT_TRUE(has_failure(certify(chain, vc, {0}, {2}, std::nullopt, nullptr, leak, true), "conservation at node 1")); // The same chain with capacities 5, capped at 1: every vertex is in the closure with @@ -771,11 +771,11 @@ TEST(FlowCore, CertificateRejectsEveryOtherClause) { // one control each. `mutated` solves on the full capacities, certifies the clean payload, then // returns the failed clauses of the mutated copy. A control expects the exact list where the // mutation can break one clause alone, else the clause it targets among those it also breaks. - using Mutation = std::function; + using Mutation = std::function; auto mutated = [](const Graph& g, const std::vector& s, const std::vector& d, std::optional cap, const Eligibility* el, const Mutation& mutate) { - std::vector view(g.capacity_units().begin(), g.capacity_units().end()); - auto r = place_global_units(g, view, s, d, el, cap); + std::vector view(g.edge_capacity_units().begin(), g.edge_capacity_units().end()); + auto r = solve_min_cost_flow(g, view, s, d, el, cap); EXPECT_TRUE(certify(g, view, s, d, cap, el, r, true).empty()); mutate(r); return certify(g, view, s, d, cap, el, r, true); @@ -792,8 +792,8 @@ TEST(FlowCore, CertificateRejectsEveryOtherClause) { EXPECT_EQ(mutated(one, s, d, std::nullopt, nullptr, [](auto& r) { r.potentials.push_back(0); }), Fails{"shape"}); // The zero-cap payload, each of its fields alone (the counters are the test above's control). const std::vector nonzero = { - [](auto& r) { r.placed = 1; }, - [](auto& r) { r.cost_distribution = curve({{7, 1}}); }, + [](auto& r) { r.flow_value = 1; }, + [](auto& r) { r.marginal_cost_curve = curve({{7, 1}}); }, [](auto& r) { r.min_cut = std::vector{}; }, [](auto& r) { r.edge_flows[0] = 1; }, [](auto& r) { r.potentials[0] = 0; }, @@ -848,17 +848,17 @@ TEST(FlowCore, CertificateRejectsEveryOtherClause) { << edge; } // placed outside [0, cap]: above the cap, and negative without one. - EXPECT_TRUE(has_failure(mutated(one, s, d, 1, nullptr, [](auto& r) { r.placed = 2; }), "placed outside [0, cap]")); + EXPECT_TRUE(has_failure(mutated(one, s, d, 1, nullptr, [](auto& r) { r.flow_value = 2; }), "placed outside [0, cap]")); EXPECT_TRUE( - has_failure(mutated(one, s, d, std::nullopt, nullptr, [](auto& r) { r.placed = -1; }), "placed outside [0, cap]")); + has_failure(mutated(one, s, d, std::nullopt, nullptr, [](auto& r) { r.flow_value = -1; }), "placed outside [0, cap]")); // The cut: present while cap 1 leaves the destination reachable, missing on the maximal solve, - // and its value (3) against a lowered placed (which also breaks the value and the curve total). + // and its value (3) against a lowered flow value (which also breaks the value and the curve total). EXPECT_EQ(mutated(one, s, d, 1, nullptr, [](auto& r) { r.min_cut = std::vector{}; }), Fails{"min_cut present on a connected solve"}); EXPECT_EQ(mutated(one, s, d, std::nullopt, nullptr, [](auto& r) { r.min_cut.reset(); }), Fails{"min_cut missing on a maximal solve"}); EXPECT_TRUE( - has_failure(mutated(one, s, d, std::nullopt, nullptr, [](auto& r) { r.placed = 2; }), "cut value differs from placed")); + has_failure(mutated(one, s, d, std::nullopt, nullptr, [](auto& r) { r.flow_value = 2; }), "cut value differs from placed")); // The potentials: node 1's (outside the closure) below the sentinel (also below pi(t*)), the // root's (the closure), pi(t*) against the last curve cost, and no destination potential at all // although 3 units arrive (node 1 is reached at zero flow, so the sentinel also breaks that @@ -887,6 +887,6 @@ TEST(FlowCore, CertificateRejectsEveryOtherClause) { Fails{"NEVER_REACHED differs from reachability at zero flow at node 2"}); // The curve total: a free tier of 1 before the real one keeps the moment (21) and pi(t*), and // the curve then also differs from the optimum at 1. - EXPECT_EQ(mutated(one, s, d, std::nullopt, nullptr, [](auto& r) { r.cost_distribution = curve({{0, 1}, {7, 3}}); }), + EXPECT_EQ(mutated(one, s, d, std::nullopt, nullptr, [](auto& r) { r.marginal_cost_curve = curve({{0, 1}, {7, 3}}); }), (Fails{"curve total differs from placed", "curve differs from the exhaustive optimum at 1"})); } diff --git a/tests/cpp/pooled_origin_tests.cpp b/tests/cpp/pooled_source_allocation_tests.cpp similarity index 66% rename from tests/cpp/pooled_origin_tests.cpp rename to tests/cpp/pooled_source_allocation_tests.cpp index 2b1b76a..20cd503 100644 --- a/tests/cpp/pooled_origin_tests.cpp +++ b/tests/cpp/pooled_source_allocation_tests.cpp @@ -1,12 +1,12 @@ // One demand, several sources (docs/semantics.md, section 7): the configuration table and its -// error order, the pooled single-path rule, pooled CostOnly splitting (one split per shared -// router, attribution by highest averages, the equal origin's entry that cannot pass anything, +// error order, the pooled single-path rule, pooled ShortestPaths splitting (one split per shared +// router, attribution by highest averages, the equal source allocation's entry that cannot pass anything, // Lossy forwarding through a source, weights frozen per epoch, the first-hop experiment), -// increments and zero calls, the controllers (Global and CostOnly MaxFlow) under both origins, +// increments and zero calls, the controllers (CentralizedTE and ShortestPaths Optimized) under both source allocations, // min_cut as its own output, the result's accounting and per-source rows, the terminations and // the evaluators. Each test checks hand-derived values on small graphs whose EdgeIds equal their // input positions (asserted). The property tests check the controllers' certificates (conservation, -// maximality under the origin, no negative residual cycle) with an independent augmenting-path +// maximality under the source allocation, no negative residual cycle) with an independent augmenting-path // maximum flow and Bellman-Ford, and pooled records against their own routes; the pooled // forwarding itself is compared with an independent reference in tests/py/test_pooled.py. #include @@ -21,8 +21,8 @@ #include #include -#include "netgraph/core/dag_cache.hpp" -#include "netgraph/core/detail/kernels.hpp" +#include "netgraph/core/shortest_path_cache.hpp" +#include "netgraph/core/detail/route_kernels.hpp" #include "netgraph/core/evaluators.hpp" #include "netgraph/core/flow_ledger.hpp" #include "netgraph/core/flow_policy.hpp" @@ -49,7 +49,7 @@ Amount lo(const std::optional& x) { return x.has_value() ? lo(*x) : std::vector rows(const PlacementResult& r) { std::vector out; for (const auto& s : r.by_source) { - out.push_back({s.source, lo(s.offered), lo(s.admitted), s.delivered, lo(s.source_loss), lo(s.dropped)}); + out.push_back({s.source, lo(s.offered), lo(s.admitted), s.delivered, lo(s.source_drops), lo(s.total_edge_drops)}); } return out; } @@ -57,7 +57,7 @@ std::vector rows(const PlacementResult& r) { // A graph whose rows are already in EdgeId order (source, cost, destination, input). std::shared_ptr ordered(std::int32_t n, const std::vector& rows) { auto g = shared(make_graph(n, rows)); - for (std::size_t i = 0; i < rows.size(); ++i) EXPECT_EQ(g->input_index()[i], static_cast(i)); + for (std::size_t i = 0; i < rows.size(); ++i) EXPECT_EQ(g->input_positions()[i], static_cast(i)); return g; } @@ -88,21 +88,28 @@ std::shared_ptr graph(const std::vector& edges) { return ordered(n, edges); } -PathSelection sel(EdgeTieBreak t = EdgeTieBreak::Deterministic, EdgePriority p = EdgePriority::Capacity, - bool multipath = true) { - return PathSelection(t, p, multipath, true); +ShortestPaths sel(RouteTieBreak t = RouteTieBreak::FewerHops, bool multipath = true, bool parallel_edges = true) { + ShortestPaths sp; + sp.tie_break = t; + sp.multipath = multipath; + sp.parallel_edges = parallel_edges; + return sp; } -FlowPolicyConfig cost_only(FlowPlacement k = FlowPlacement::EqualBalanced, Admission a = Admission::Lossless, - std::optional s = std::nullopt, std::optional o = std::nullopt) { - return FlowPolicyConfig {CostOnly {}, k, a, s, o}; +// ShortestPaths with the allocation `k`, the route choice of `s` and the source allocation `o`. +FlowPolicyConfig cost_only(RouteAllocation k = RouteAllocation::Equal, Admission a = Admission::Lossless, + ShortestPaths s = {}, std::optional o = std::nullopt) { + s.allocation = k; + s.source_allocation = o; + return FlowPolicyConfig {s, a}; } -FlowPolicyConfig glob(std::optional o = std::nullopt) { - return FlowPolicyConfig {.routing = Global {}, .origin = o}; +// CentralizedTE with the source allocation `o` (OPTIMIZED when absent, the exact maximum flow). +FlowPolicyConfig glob(std::optional o = std::nullopt) { + return FlowPolicyConfig {.routing = centralized(o.value_or(SourceAllocation::Optimized))}; } -const PathSelection kPreferPath = sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity, false); -const std::string kQ12 = "CostOnly with multiple input sources rejects multipath=false with PREFER_HIGHER_PRIORITY"; +const ShortestPaths kPreferPath = sel(RouteTieBreak::HigherCapacity, false); +const std::string kQ12 = "ShortestPaths with multiple input sources requires tie_break=FEWER_HOPS when multipath=False"; const OutputOptions kEdges {true, false, false, false}; const OutputOptions kCut {false, false, false, true}; const OutputOptions kAll {true, true, true, true}; @@ -122,7 +129,7 @@ struct Case { PlacementResult place(std::optional v, const OutputOptions& o = {}) { return p->place(v, o); } std::vector>, Amount>> records() const { std::vector>, Amount>> out; - for (const auto& r : p->records()) out.emplace_back(r.edges, r.delivered); + for (const auto& r : p->records()) out.emplace_back(r.edge_flows, r.delivered); return out; } }; @@ -139,75 +146,69 @@ std::string construct_error(const std::vector& edges, std::vector> rows = { - {FlowPolicyConfig {.routing = CostOnly {}}, "CostOnly requires placement"}, - {FlowPolicyConfig {.routing = Global {}, .placement = FlowPlacement::MaxFlow}, "Global does not accept placement"}, - {FlowPolicyConfig {.routing = Global {}, .selection = PathSelection()}, "Global does not accept selection"}, - {cost_only(FlowPlacement::EqualBalanced, Admission::Lossless, std::nullopt, Origin::Optimized), - "CostOnly with EQUAL_BALANCED or WEIGHTED requires origin=EQUAL"}, - {cost_only(FlowPlacement::Weighted, Admission::Lossless, std::nullopt, Origin::Optimized), - "CostOnly with EQUAL_BALANCED or WEIGHTED requires origin=EQUAL"}, - {cost_only(FlowPlacement::MaxFlow, Admission::Lossy), "MAX_FLOW requires admission=LOSSLESS"}, - {FlowPolicyConfig {.routing = Global {}, .admission = Admission::Lossy}, "MAX_FLOW requires admission=LOSSLESS"}, - {FlowPolicyConfig {.routing = CapacityAware {Tunnels {1}}, .origin = Origin::Optimized}, "T1 requires origin=EQUAL"}, - {FlowPolicyConfig {.routing = CapacityAware {Tunnels {1}}, .placement = FlowPlacement::MaxFlow}, - "T1 does not accept placement"}, + {FlowPolicyConfig {.routing = ShortestPaths {}}, ""}, + {cost_only(RouteAllocation::Equal, Admission::Lossless, {}, SourceAllocation::Optimized), + "ShortestPaths with EQUAL or WEIGHTED requires source_allocation=EQUAL"}, + {cost_only(RouteAllocation::Weighted, Admission::Lossless, {}, SourceAllocation::Optimized), + "ShortestPaths with EQUAL or WEIGHTED requires source_allocation=EQUAL"}, + {cost_only(RouteAllocation::Optimized, Admission::Lossy), "ShortestPaths OPTIMIZED requires admission=LOSSLESS"}, + {FlowPolicyConfig {.routing = centralized(), .admission = Admission::Lossy}, + "CentralizedTE without tunnel_count requires admission=LOSSLESS"}, + {FlowPolicyConfig {.routing = centralized(SourceAllocation::Equal), .admission = Admission::Lossy}, + "CentralizedTE without tunnel_count requires admission=LOSSLESS"}, + {FlowPolicyConfig {.routing = centralized(SourceAllocation::Optimized, {}, TunnelCount {2}), .admission = Admission::Lossy}, + "CentralizedTE with tunnel_count and several sources requires source_allocation=EQUAL"}, }; const auto g = graph(kB1); for (const auto& [cfg, text] : rows) { EXPECT_EQ(construct_error(kB1, {0, 1}, {3}, cfg), text); - EXPECT_EQ(error_of([&] { (void)capacity(*g, v({0, 1}), v({3}), QueryOptions {cfg}); }), text); + EXPECT_EQ(error_of([&] { (void)evaluate_demand(*g, v({0, 1}), v({3}), EvaluationOptions {cfg}); }), text); } - // Pinned takes neither a placement nor an origin (its program has it). + // Pinned takes its source allocation from its program; both admissions. const Pinned pin = pinned_dags(*g, 0, 3, {dag_of(*g, {0})}); const auto pinned_error = [&](const FlowPolicyConfig& c) { FlowLedger fg(g); return error_of([&] { FlowPolicy p(fg, v({0}), v({3}), c); }); }; - EXPECT_EQ(pinned_error(FlowPolicyConfig {.routing = pin, .origin = Origin::Equal}), "Pinned does not accept origin"); - EXPECT_EQ(pinned_error(FlowPolicyConfig {pin, FlowPlacement::MaxFlow, Admission::Lossy}), - "Pinned does not accept placement"); EXPECT_EQ(pinned_error(FlowPolicyConfig {.routing = pin, .admission = Admission::Lossy}), ""); - // Only CostOnly reads a cache (policy and evaluators). - DagCache cache(*g); + EXPECT_EQ(pinned_error(FlowPolicyConfig {.routing = pin}), ""); + // Only ShortestPaths reads a cache (policy and evaluators). + ShortestPathCache cache(*g); FlowLedger fg(g); const std::vector, std::string>> cached = { - {glob(), {0, 1}, "Global does not use DagCache"}, - {FlowPolicyConfig {.routing = CapacityAware {Tunnels {1}}}, {0, 1}, "T1 does not use DagCache"}, - {FlowPolicyConfig {.routing = pin}, {0}, "Pinned does not use DagCache"}, + {glob(), {0, 1}, "CentralizedTE does not use ShortestPathCache"}, + {FlowPolicyConfig {.routing = DistributedTE {TunnelCount {1}}}, {0, 1}, "DistributedTE does not use ShortestPathCache"}, + {FlowPolicyConfig {.routing = pin}, {0}, "Pinned does not use ShortestPathCache"}, }; for (const auto& [cfg, s, text] : cached) { EXPECT_EQ(error_of([&] { FlowPolicy p(fg, s, v({3}), cfg, nullptr, &cache); }), text); - EXPECT_EQ(error_of([&] { (void)capacity(*g, s, v({3}), QueryOptions {cfg, nullptr, &cache}); }), text); - EXPECT_EQ(error_of([&] { (void)sensitivity(*g, s, v({3}), QueryOptions {cfg, nullptr, &cache}, 1); }), text); + EXPECT_EQ(error_of([&] { (void)evaluate_demand(*g, s, v({3}), EvaluationOptions {cfg, nullptr, &cache}); }), text); + EXPECT_EQ(error_of([&] { (void)evaluate_edge_failures(*g, s, v({3}), EvaluationOptions {cfg, nullptr, &cache}, 1); }), text); } EXPECT_EQ(cache.stats().misses + cache.stats().hits, 0); } -// The row, then the columns placement, origin, admission, selection (Global rejects any -// selection before its row); the table before the cache check. +// The source allocation, then the admission, then the route-choice rules; the matrix before the +// cache check. TEST(ConfigOrigin, MatrixOrder) { - EXPECT_EQ(construct_error(kB1, {0, 1}, {3}, - FlowPolicyConfig {Global {}, FlowPlacement::MaxFlow, Admission::Lossy, PathSelection()}), - "Global does not accept selection"); - EXPECT_EQ(construct_error(kB1, {0, 1}, {3}, FlowPolicyConfig {Global {}, FlowPlacement::MaxFlow, Admission::Lossy}), - "Global does not accept placement"); - EXPECT_EQ(construct_error(kB1, {0, 1}, {3}, - FlowPolicyConfig {Global {}, std::nullopt, Admission::Lossy, std::nullopt, Origin::Equal}), - "MAX_FLOW requires admission=LOSSLESS"); + EXPECT_EQ(construct_error(kB1, {0, 1}, {3}, FlowPolicyConfig {centralized(SourceAllocation::Equal), Admission::Lossy}), + "CentralizedTE without tunnel_count requires admission=LOSSLESS"); EXPECT_EQ(construct_error(kPool, {0, 1}, {3}, - cost_only(FlowPlacement::EqualBalanced, Admission::Lossless, kPreferPath, Origin::Optimized)), - "CostOnly with EQUAL_BALANCED or WEIGHTED requires origin=EQUAL"); + cost_only(RouteAllocation::Equal, Admission::Lossless, kPreferPath, SourceAllocation::Optimized)), + "ShortestPaths with EQUAL or WEIGHTED requires source_allocation=EQUAL"); const auto g = graph(kB1); - DagCache cache(*g); + ShortestPathCache cache(*g); FlowLedger fg(g); EXPECT_EQ(error_of([&] { - FlowPolicy p(fg, v({0, 1}), v({3}), FlowPolicyConfig {.routing = Global {}, .placement = FlowPlacement::MaxFlow}, + FlowPolicy p(fg, v({0, 1}), v({3}), FlowPolicyConfig {.routing = centralized(), .admission = Admission::Lossy}, nullptr, &cache); }), - "Global does not accept placement"); + "CentralizedTE without tunnel_count requires admission=LOSSLESS"); } // The endpoints come before the ownership of the mask. @@ -223,78 +224,78 @@ TEST(ConfigOrigin, EndpointsBeforeOwnership) { // Finite after infinite, place(0) included, until remove(). TEST(ConfigOrigin, FiniteAfterInfinite) { - for (const auto& cfg : {cost_only(), glob(), cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)}) { + for (const auto& cfg : {cost_only(), glob(), cost_only(RouteAllocation::Equal, Admission::Lossy)}) { Case k(kOne, {0}, {1}, cfg); (void)k.place(std::nullopt); for (Amount x : {Amount {1}, Amount {0}}) { EXPECT_EQ(error_of([&] { (void)k.place(x); }), "finite placement after infinite placement requires a new epoch"); } k.p->remove(); - EXPECT_EQ(k.place(1).placed, 1); + EXPECT_EQ(k.place(1).call_delivered, 1); } } // ---------------------------------------------------------------- the pooled single-path rule -// Two normalized input sources (also when a mask leaves one) reject PreferHigherPriority +// Two normalized input sources (also when a mask leaves one) reject HIGHER_* // single paths for every kernel; one source and multipath are accepted. TEST(PooledSinglePath, Rejected) { - for (auto k : {FlowPlacement::EqualBalanced, FlowPlacement::Weighted, FlowPlacement::MaxFlow}) { + for (auto k : {RouteAllocation::Equal, RouteAllocation::Weighted, RouteAllocation::Optimized}) { EXPECT_EQ(construct_error(kPool, {0, 1}, {3}, cost_only(k, Admission::Lossless, kPreferPath)), kQ12); EXPECT_EQ(construct_error(kPool, {0, 1}, {3}, cost_only(k, Admission::Lossless, kPreferPath), {1}), kQ12); EXPECT_EQ(construct_error(kPool, {0, 0}, {3}, cost_only(k, Admission::Lossless, kPreferPath)), ""); EXPECT_EQ(construct_error(kPool, {0, 1}, {3}, - cost_only(k, Admission::Lossless, sel(EdgeTieBreak::PreferHigherPriority))), + cost_only(k, Admission::Lossless, sel(RouteTieBreak::HigherCapacity, true, false))), ""); } } -// DETERMINISTIC single paths pool: 0: [e0, e2], 1: [e1, e2] (equal cost and hops: e2). +// FEWER_HOPS single paths pool: 0: [e0, e2], 1: [e1, e2] (equal cost and hops: e2). TEST(PooledSinglePath, DeterministicPaths) { - const auto det = sel(EdgeTieBreak::Deterministic, EdgePriority::Capacity, false); - Case k(kPool, {0, 1}, {3}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossless, det)); + const auto det = sel(RouteTieBreak::FewerHops, false); + Case k(kPool, {0, 1}, {3}, cost_only(RouteAllocation::Equal, Admission::Lossless, det)); const auto r = k.place(std::nullopt); - EXPECT_EQ(r.placed, 1); + EXPECT_EQ(r.call_delivered, 1); EXPECT_EQ(rows(r), (std::vector {{0, kNone, 1, 1, 0, 0}, {1, kNone, 0, 0, 0, 0}})); - Case lossy(kPool, {0, 1}, {3}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy, det)); + Case lossy(kPool, {0, 1}, {3}, cost_only(RouteAllocation::Equal, Admission::Lossy, det)); const auto l = lossy.place(2); - EXPECT_EQ(l.placed, 1); - EXPECT_EQ(l.call_drops, (Drops {{2, 1}})); + EXPECT_EQ(l.call_delivered, 1); + EXPECT_EQ(l.call_edge_drops, (Drops {{2, 1}})); EXPECT_EQ(rows(l), (std::vector {{0, 1, 1, 1, 0, 0}, {1, 1, 1, 0, 0, 1}})); const auto recs = lossy.p->records(); ASSERT_EQ(recs.size(), 2U); - EXPECT_EQ(ascending_edges(*recs[0].bundle), (std::vector {0, 2})); - EXPECT_EQ(ascending_edges(*recs[1].bundle), (std::vector {1, 2})); + EXPECT_EQ(ascending_edges(*recs[0].route), (std::vector {0, 2})); + EXPECT_EQ(ascending_edges(*recs[1].route), (std::vector {1, 2})); } -// ---------------------------------------------------------------- pooled CostOnly +// ---------------------------------------------------------------- pooled ShortestPaths // One split at the shared router, attributed member by member. TEST(Pooled, SharedRouterSplitsOnce) { Case k(kPool, {0, 1}, {3}, cost_only()); const auto r = k.place(2, kEdges); - EXPECT_EQ(r.placed, 2); + EXPECT_EQ(r.call_delivered, 2); EXPECT_EQ(r.termination, Termination::Complete); EXPECT_EQ(*r.edge_flows, (std::vector {1, 1, 1, 1})); EXPECT_EQ(rows(r), (std::vector {{0, kNone, 1, 1, 0, 0}, {1, kNone, 1, 1, 0, 0}})); EXPECT_EQ(k.records(), (decltype(k.records()) {{{{0, 1}, {2, 1}}, 1}, {{{1, 1}, {3, 1}}, 1}})); Case inf(kPool, {0, 1}, {3}, cost_only()); const auto i = inf.place(std::nullopt); - EXPECT_EQ(i.placed, 2); + EXPECT_EQ(i.call_delivered, 2); EXPECT_EQ(i.termination, Termination::Exhausted); EXPECT_FALSE(i.requested.has_value()); EXPECT_FALSE(i.unadmitted.has_value()); - EXPECT_FALSE(i.remaining.has_value()); - Case w(kPool, {0, 1}, {3}, cost_only(FlowPlacement::Weighted)); - EXPECT_EQ(w.place(2).placed, 2); + EXPECT_FALSE(i.call_undelivered.has_value()); + Case w(kPool, {0, 1}, {3}, cost_only(RouteAllocation::Weighted)); + EXPECT_EQ(w.place(2).call_delivered, 2); } // Each member's arrivals divided by what each source brought. TEST(Pooled, LossyAttributionByArrivals) { - Case k(kPool, {0, 1}, {3}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)); + Case k(kPool, {0, 1}, {3}, cost_only(RouteAllocation::Equal, Admission::Lossy)); const auto r = k.place(4); - EXPECT_EQ(r.placed, 2); - EXPECT_EQ(r.call_drops, (Drops {{2, 1}, {3, 1}})); + EXPECT_EQ(r.call_delivered, 2); + EXPECT_EQ(r.call_edge_drops, (Drops {{2, 1}, {3, 1}})); EXPECT_EQ(rows(r), (std::vector {{0, 2, 2, 2, 0, 0}, {1, 2, 2, 0, 0, 2}})); for (const auto& rec : k.p->records()) expect_conserved(*k.g, rec, "Lossy attribution by arrivals"); } @@ -305,29 +306,29 @@ TEST(Pooled, EqualEntryThatCannotPass) { for (const auto& [edges, want] : {std::pair {kB3Z, Amount {0}}, std::pair {kB3P, Amount {1}}}) { Case eb(edges, {0, 1}, {2}, cost_only()); const auto r = eb.place(10); - EXPECT_EQ(r.placed, want); + EXPECT_EQ(r.call_delivered, want); EXPECT_EQ(r.termination, Termination::Exhausted); EXPECT_EQ(eb.p->records().size(), 2U); - Case w(edges, {0, 1}, {2}, cost_only(FlowPlacement::Weighted)); - EXPECT_EQ(w.place(10).placed, want); + Case w(edges, {0, 1}, {2}, cost_only(RouteAllocation::Weighted)); + EXPECT_EQ(w.place(10).call_delivered, want); } - Case lossy(kB3Z, {0, 1}, {2}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)); + Case lossy(kB3Z, {0, 1}, {2}, cost_only(RouteAllocation::Equal, Admission::Lossy)); const auto l = lossy.place(10); - EXPECT_EQ(l.placed, 5); - EXPECT_EQ(l.call_drops, (Drops {{0, 5}})); - EXPECT_EQ(l.call_source_loss, 0); + EXPECT_EQ(l.call_delivered, 5); + EXPECT_EQ(l.call_edge_drops, (Drops {{0, 5}})); + EXPECT_EQ(l.call_source_drops, 0); EXPECT_EQ(l.termination, Termination::Complete); } // Weighted gives the zero edge weight 0; source 0's share has no member and is source loss. TEST(Pooled, WeightedZeroRouteIsSourceLoss) { - Case k(kB3Z, {0, 1}, {2}, cost_only(FlowPlacement::Weighted, Admission::Lossy)); + Case k(kB3Z, {0, 1}, {2}, cost_only(RouteAllocation::Weighted, Admission::Lossy)); const auto r = k.place(10); - EXPECT_EQ(r.placed, 5); + EXPECT_EQ(r.call_delivered, 5); EXPECT_EQ(r.termination, Termination::Complete); - EXPECT_TRUE(r.call_drops.empty()); - EXPECT_EQ(r.call_source_loss, 5); - EXPECT_EQ(lo(r.source_loss), 5); + EXPECT_TRUE(r.call_edge_drops.empty()); + EXPECT_EQ(r.call_source_drops, 5); + EXPECT_EQ(lo(r.source_drops), 5); EXPECT_EQ(rows(r), (std::vector {{0, 5, 5, 0, 5, 0}, {1, 5, 5, 5, 0, 0}})); } @@ -335,44 +336,45 @@ TEST(Pooled, WeightedZeroRouteIsSourceLoss) { TEST(Pooled, EqualOriginLimitsTheTotal) { Case k(kB1, {0, 1}, {3}, cost_only()); const auto r = k.place(12); - EXPECT_EQ(r.placed, 4); + EXPECT_EQ(r.call_delivered, 4); EXPECT_EQ(r.termination, Termination::Exhausted); EXPECT_EQ(rows(r), (std::vector {{0, kNone, 2, 2, 0, 0}, {1, kNone, 2, 2, 0, 0}})); - Case lossy(kB1, {0, 1}, {3}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)); + Case lossy(kB1, {0, 1}, {3}, cost_only(RouteAllocation::Equal, Admission::Lossy)); const auto l = lossy.place(12); - EXPECT_EQ(l.placed, 8); - EXPECT_EQ(l.call_drops, (Drops {{0, 4}})); + EXPECT_EQ(l.call_delivered, 8); + EXPECT_EQ(l.call_edge_drops, (Drops {{0, 4}})); } // CHAIN: source 1's traffic passes source 0's router. TEST(Pooled, TransitThroughASource) { - Case k(kChain, {0, 1}, {2}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)); + Case k(kChain, {0, 1}, {2}, cost_only(RouteAllocation::Equal, Admission::Lossy)); const auto r = k.place(10); - EXPECT_EQ(r.placed, 3); - EXPECT_EQ(r.call_drops, (Drops {{0, 7}})); + EXPECT_EQ(r.call_delivered, 3); + EXPECT_EQ(r.call_edge_drops, (Drops {{0, 7}})); EXPECT_EQ(rows(r), (std::vector {{0, 5, 5, 2, 0, 3}, {1, 5, 5, 1, 0, 4}})); EXPECT_EQ(k.records(), (decltype(k.records()) {{{{0, 2}}, 2}, {{{0, 1}, {1, 5}}, 1}})); for (const auto& rec : k.p->records()) expect_conserved(*k.g, rec, "transit through a source"); Case lossless(kChain, {0, 1}, {2}, cost_only()); const auto l = lossless.place(std::nullopt); - EXPECT_EQ(l.placed, 3); + EXPECT_EQ(l.call_delivered, 3); EXPECT_EQ(rows(l), (std::vector {{0, kNone, 2, 2, 0, 0}, {1, kNone, 1, 1, 0, 0}})); - Case hop(kChain, {0, 1}, {2}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)); + Case hop(kChain, {0, 1}, {2}, cost_only(RouteAllocation::Equal, Admission::Lossy)); const auto h = hop.place(std::nullopt); - EXPECT_EQ(h.placed, 3); + EXPECT_EQ(h.call_delivered, 3); EXPECT_EQ(h.termination, Termination::Exhausted); EXPECT_EQ(lo(h.offered), 13); - EXPECT_EQ(h.drops, (Counters {{0, c(10)}})); + EXPECT_EQ(h.edge_drops, (Counters {{0, c(10)}})); EXPECT_EQ(rows(h), (std::vector {{0, 3, 3, 0, 0, 3}, {1, 10, 10, 3, 0, 7}})); } -// Residual weights read once, on the residual at the first positive call's entry. +// ResidualSnapshot weights read once, on the residual at the first positive call's entry. TEST(Pooled, ResidualWeightsOnTheCommonView) { - auto snapshot = cost_only(FlowPlacement::Weighted, Admission::Lossless, sel(EdgeTieBreak::Deterministic, EdgePriority::Residual)); - snapshot.weights = WeightBasis::ResidualSnapshot; + auto residual_basis = sel(RouteTieBreak::FewerHops); + residual_basis.weight_basis = WeightBasis::ResidualSnapshot; + auto snapshot = cost_only(RouteAllocation::Weighted, Admission::Lossless, residual_basis); Case k(kSnap, {0, 1}, {3}, snapshot, {}, {10, 10, 2, 10}); const auto r = k.place(std::nullopt); - EXPECT_EQ(r.placed, 12); + EXPECT_EQ(r.call_delivered, 12); EXPECT_EQ(k.records(), (decltype(k.records()) {{{{0, 6}, {2, 1}, {3, 5}}, 6}, {{{1, 6}, {2, 1}, {3, 5}}, 6}})); } @@ -381,22 +383,23 @@ TEST(Pooled, WeightsFrozenForTheEpoch) { const auto g = graph(kSnap); FlowLedger fg(g); auto other = std::make_unique(fg, v({2}), v({3}), FlowPolicyConfig {.routing = pinned_dags(*g, 2, 3, {dag_of(*g, {2})})}); - EXPECT_EQ(other->place(8).placed, 8); - auto snapshot = cost_only(FlowPlacement::Weighted, Admission::Lossless, sel(EdgeTieBreak::Deterministic, EdgePriority::Residual)); - snapshot.weights = WeightBasis::ResidualSnapshot; + EXPECT_EQ(other->place(8).call_delivered, 8); + auto residual_basis = sel(RouteTieBreak::FewerHops); + residual_basis.weight_basis = WeightBasis::ResidualSnapshot; + auto snapshot = cost_only(RouteAllocation::Weighted, Admission::Lossless, residual_basis); FlowPolicy p(fg, v({0, 1}), v({3}), snapshot); - EXPECT_EQ(p.place(2).placed, 2); + EXPECT_EQ(p.place(2).call_delivered, 2); other->remove(); const auto r = p.place(10, kEdges); - EXPECT_EQ(r.placed, 10); + EXPECT_EQ(r.call_delivered, 10); EXPECT_EQ(*r.edge_flows, (std::vector {6, 6, 2, 10})); } // The first-hop experiment. TEST(Pooled, FirstHopExperiment) { - Case k(kPriv, {0, 1}, {2}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)); + Case k(kPriv, {0, 1}, {2}, cost_only(RouteAllocation::Equal, Admission::Lossy)); const auto r = k.place(std::nullopt); - EXPECT_EQ(r.placed, 10); + EXPECT_EQ(r.call_delivered, 10); EXPECT_EQ(lo(r.offered), 10); EXPECT_FALSE(r.requested.has_value()); EXPECT_EQ(r.termination, Termination::Exhausted); @@ -426,12 +429,11 @@ TEST(Pooled, RecordsStayOnTheirRoutesAndAccountExactly) { const auto mask = g->eligibility(pick(3) == 0 ? v({static_cast(3)}) : std::vector {}, pick(3) == 0 ? std::vector {static_cast(pick(g->num_edges()))} : std::vector {}); - const auto k = pick(2) == 0 ? FlowPlacement::EqualBalanced : FlowPlacement::Weighted; + const auto k = pick(2) == 0 ? RouteAllocation::Equal : RouteAllocation::Weighted; const auto a = pick(2) == 0 ? Admission::Lossless : Admission::Lossy; - const auto prio = pick(2) == 0 ? EdgePriority::Capacity : EdgePriority::Residual; - const auto selection = sel(EdgeTieBreak::Deterministic, prio, pick(3) != 0); + const auto choice = sel(RouteTieBreak::FewerHops, pick(3) != 0); FlowLedger fg(g); - FlowPolicy p(fg, s, t, cost_only(k, a, selection), &mask); + FlowPolicy p(fg, s, t, cost_only(k, a, choice), &mask); const std::string where = "trial " + std::to_string(trial); for (int call = 0, calls = 1 + pick(3); call < calls; ++call) { const std::optional vol = pick(5) == 0 && call == calls - 1 ? std::nullopt : std::optional {pick(9)}; @@ -440,38 +442,38 @@ TEST(Pooled, RecordsStayOnTheirRoutesAndAccountExactly) { for (const auto& row : r.by_source) { admitted += lo(row.admitted); delivered += row.delivered; - loss += lo(row.source_loss); - dropped += lo(row.dropped); + loss += lo(row.source_drops); + dropped += lo(row.total_edge_drops); } Amount drops = 0; - for (const auto& [e, x] : r.drops) drops += lo(x); + for (const auto& [e, x] : r.edge_drops) drops += lo(x); const bool empty = fg.records().empty(); if (!empty || a == Admission::Lossless) { EXPECT_EQ(admitted, lo(r.admitted)) << where; - EXPECT_EQ(loss, lo(r.source_loss)) << where; + EXPECT_EQ(loss, lo(r.source_drops)) << where; } EXPECT_EQ(delivered, r.delivered) << where; EXPECT_EQ(dropped, drops) << where; if (a == Admission::Lossy) { - EXPECT_EQ(lo(r.offered), lo(r.source_loss) + drops + r.delivered) << where; + EXPECT_EQ(lo(r.offered), lo(r.source_drops) + drops + r.delivered) << where; EXPECT_EQ(lo(r.unadmitted), 0) << where; } else if (r.requested.has_value()) { EXPECT_EQ(lo(r.requested), lo(r.unadmitted) + r.delivered) << where; } - EXPECT_EQ(r.delivery_delta, r.placed) << where; + EXPECT_EQ(r.delivery_delta, r.call_delivered) << where; for (const auto& rec : p.records()) { - const auto route = ascending_edges(*rec.bundle); - for (const auto& [e, x] : rec.edges) { + const auto route = ascending_edges(*rec.route); + for (const auto& [e, x] : rec.edge_flows) { EXPECT_TRUE(std::binary_search(route.begin(), route.end(), e)) << where << " edge " << e; } - for (const auto& [e, x] : rec.drops) { + for (const auto& [e, x] : rec.edge_drops) { EXPECT_TRUE(std::binary_search(route.begin(), route.end(), e)) << where << " drop " << e; } if (expect_conserved(*g, rec, where)) ++carrying; } - const auto alloc = fg.allocated(); + const auto alloc = fg.carried(); for (EdgeId e = 0; e < g->num_edges(); ++e) { - EXPECT_LE(alloc[static_cast(e)], g->capacity_units()[static_cast(e)]) << where; + EXPECT_LE(alloc[static_cast(e)], g->edge_capacity_units()[static_cast(e)]) << where; } if (!vol.has_value()) break; } @@ -487,21 +489,21 @@ TEST(Increments, LosslessRefusedUnitsStayRefused) { Case k(kInc, {0, 1}, {2}, cost_only()); const auto a = k.place(3); const auto b = k.place(1); - EXPECT_EQ(a.placed, 2); - EXPECT_EQ(b.placed, 0); + EXPECT_EQ(a.call_delivered, 2); + EXPECT_EQ(b.call_delivered, 0); EXPECT_EQ(b.termination, Termination::Exhausted); EXPECT_EQ(lo(b.requested), 4); EXPECT_EQ(lo(b.admitted), 2); EXPECT_EQ(lo(b.unadmitted), 2); EXPECT_FALSE(b.offered.has_value()); - Case lossy(kInc, {0, 1}, {2}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)); + Case lossy(kInc, {0, 1}, {2}, cost_only(RouteAllocation::Equal, Admission::Lossy)); const auto la = lossy.place(3); const auto lb = lossy.place(1); - EXPECT_EQ(la.placed, 2); - EXPECT_EQ(la.call_drops, (Drops {{0, 1}})); - EXPECT_EQ(lb.placed, 1); - EXPECT_TRUE(lb.call_drops.empty()); - EXPECT_EQ(lb.drops, (Counters {{0, c(1)}})); + EXPECT_EQ(la.call_delivered, 2); + EXPECT_EQ(la.call_edge_drops, (Drops {{0, 1}})); + EXPECT_EQ(lb.call_delivered, 1); + EXPECT_TRUE(lb.call_edge_drops.empty()); + EXPECT_EQ(lb.edge_drops, (Counters {{0, c(1)}})); EXPECT_EQ(lo(lb.offered), 4); EXPECT_EQ(lb.delivered, 3); EXPECT_EQ(rows(lb), (std::vector {{0, 2, 2, 1, 0, 1}, {1, 2, 2, 2, 0, 0}})); @@ -511,20 +513,20 @@ TEST(Increments, LosslessRefusedUnitsStayRefused) { FlowPolicy other(fg, v({0}), v({1}), cost_only()); (void)other.place(8); FlowPolicy p(fg, v({0}), v({1}), cost_only()); - EXPECT_EQ(p.place(5).placed, 2); + EXPECT_EQ(p.place(5).call_delivered, 2); other.remove(); (void)other.place(5); const auto r = p.place(1); - EXPECT_EQ(r.placed, 1); + EXPECT_EQ(r.call_delivered, 1); EXPECT_EQ(lo(r.requested), 6); EXPECT_EQ(lo(r.unadmitted), 3); - Case rc(kRc, {0}, {1}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)); - EXPECT_EQ(rc.place(1).placed, 1); - EXPECT_EQ(rc.place(1).placed, 0); - Case rc2(kRc, {0}, {1}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)); - EXPECT_EQ(rc2.place(2).placed, 2); + Case rc(kRc, {0}, {1}, cost_only(RouteAllocation::Equal, Admission::Lossy)); + EXPECT_EQ(rc.place(1).call_delivered, 1); + EXPECT_EQ(rc.place(1).call_delivered, 0); + Case rc2(kRc, {0}, {1}, cost_only(RouteAllocation::Equal, Admission::Lossy)); + EXPECT_EQ(rc2.place(2).call_delivered, 2); Case rc3(kRc, {0}, {1}, cost_only()); - EXPECT_EQ(rc3.place(1).placed, 1); + EXPECT_EQ(rc3.place(1).call_delivered, 1); EXPECT_EQ(*rc3.place(1, kEdges).edge_flows, (std::vector {1, 1})); } @@ -534,17 +536,17 @@ TEST(Epochs, ZeroCallBeforePreparation) { for (const bool global : {false, true}) { Case k(kPar, {0}, {1}, global ? glob() : cost_only(), {}, {4, 6}); auto unprepared = [&](const PlacementResult& r) { - EXPECT_EQ(r.placed, 0); - EXPECT_EQ(r.remaining, 0); + EXPECT_EQ(r.call_delivered, 0); + EXPECT_EQ(r.call_undelivered, 0); EXPECT_EQ(r.delivery_delta, 0); - EXPECT_TRUE(r.call_drops.empty()); - EXPECT_EQ(r.call_source_loss, 0); + EXPECT_TRUE(r.call_edge_drops.empty()); + EXPECT_EQ(r.call_source_drops, 0); EXPECT_EQ(r.termination, Termination::Complete); EXPECT_FALSE(r.routes_changed || r.weights_changed); EXPECT_EQ(*r.edge_flows, (std::vector {0, 0})); EXPECT_EQ(*r.residual, (std::vector {4, 6})); EXPECT_FALSE(r.min_cut.has_value()); - EXPECT_FALSE(r.cost_distribution.has_value()); + EXPECT_FALSE(r.marginal_cost_curve.has_value()); EXPECT_EQ(lo(r.requested), 0); EXPECT_EQ(rows(r), (std::vector {{0, kNone, 0, 0, 0, 0}})); EXPECT_EQ(r.total_cost.has_value(), global); @@ -556,7 +558,7 @@ TEST(Epochs, ZeroCallBeforePreparation) { const auto z = k.place(0, kAll); EXPECT_EQ(z.delivered, 3); EXPECT_FALSE(z.routes_changed); - if (global) EXPECT_EQ(*z.cost_distribution, (std::vector> {{1, 3}})); + if (global) EXPECT_EQ(*z.marginal_cost_curve, (std::vector> {{1, 3}})); k.p->remove(); unprepared(k.place(0, kAll)); } @@ -570,33 +572,33 @@ TEST(CostOnlyMaxFlow, OptimizedPoolsTheRoster) { std::vector edges; std::vector s; NodeId t; - std::optional origin; - Amount request, placed, cost; + std::optional source_allocation; + Amount request, delivered, cost; std::vector>> records; }; const std::vector wants = { {kB1, {0, 1}, 3, std::nullopt, 12, 12, 32, {{{0, 2}}, {{1, 10}, {2, 10}}}}, - {kB1, {0, 1}, 3, Origin::Equal, 12, 4, 8, {{{0, 2}}, {{1, 2}, {2, 2}}}}, - {kB2, {0, 1}, 2, Origin::Equal, 12, 4, 4, {{{1, 2}}, {{2, 2}}}}, - {kB2, {0, 1}, 2, Origin::Optimized, 12, 12, 12, {{{1, 2}}, {{2, 10}}}}, + {kB1, {0, 1}, 3, SourceAllocation::Equal, 12, 4, 8, {{{0, 2}}, {{1, 2}, {2, 2}}}}, + {kB2, {0, 1}, 2, SourceAllocation::Equal, 12, 4, 4, {{{1, 2}}, {{2, 2}}}}, + {kB2, {0, 1}, 2, SourceAllocation::Optimized, 12, 12, 12, {{{1, 2}}, {{2, 10}}}}, {kES, {0}, 3, std::nullopt, 12, 2, 4, {{{0, 2}, {2, 2}}}}, {kSpf, {0}, 1, std::nullopt, 5, 0, 0, {{}}}, }; for (const auto& w : wants) { - Case k(w.edges, w.s, {w.t}, cost_only(FlowPlacement::MaxFlow, Admission::Lossless, std::nullopt, w.origin)); + Case k(w.edges, w.s, {w.t}, cost_only(RouteAllocation::Optimized, Admission::Lossless, {}, w.source_allocation)); const auto r = k.place(w.request, kCut); - EXPECT_EQ(r.placed, w.placed); - EXPECT_EQ(r.termination, w.placed == w.request ? Termination::Complete : Termination::Exhausted); + EXPECT_EQ(r.call_delivered, w.delivered); + EXPECT_EQ(r.termination, w.delivered == w.request ? Termination::Complete : Termination::Exhausted); EXPECT_EQ(*r.total_cost, c(w.cost)); - EXPECT_FALSE(r.cost_distribution.has_value()); + EXPECT_FALSE(r.marginal_cost_curve.has_value()); EXPECT_FALSE(r.min_cut.has_value()); std::vector>> got; - for (const auto& rec : k.p->records()) got.push_back(rec.edges); + for (const auto& rec : k.p->records()) got.push_back(rec.edge_flows); EXPECT_EQ(got, w.records); } - Case r4(kR4, {0, 1}, {2}, cost_only(FlowPlacement::MaxFlow, Admission::Lossless, std::nullopt, Origin::Equal)); - EXPECT_EQ(r4.place(3).placed, 3); - EXPECT_EQ(r4.place(3).placed, 1); + Case r4(kR4, {0, 1}, {2}, cost_only(RouteAllocation::Optimized, Admission::Lossless, {}, SourceAllocation::Equal)); + EXPECT_EQ(r4.place(3).call_delivered, 3); + EXPECT_EQ(r4.place(3).call_delivered, 1); EXPECT_EQ(*r4.place(0).total_cost, c(20)); } @@ -605,49 +607,49 @@ TEST(GlobalEqual, Examples) { std::vector edges; std::vector s; NodeId t; - Origin origin; - Amount request, placed, cost; + SourceAllocation source_allocation; + Amount request, delivered, cost; std::vector flows; }; const std::vector wants = { - {kB1, {0, 1}, 3, Origin::Equal, 12, 4, 8, {2, 2, 2}}, - {kB1, {0, 1}, 3, Origin::Optimized, 12, 12, 32, {2, 10, 10}}, - {kB2, {0, 1}, 2, Origin::Equal, 12, 12, 16, {4, 2, 10}}, - {kB2, {0, 1}, 2, Origin::Optimized, 12, 12, 12, {0, 2, 10}}, - {kB2S, {0, 1}, 2, Origin::Equal, 12, 4, 4, {2, 2}}, - {kB2S, {0, 1}, 2, Origin::Optimized, 12, 12, 12, {2, 10}}, - {kB3Z, {0, 1}, 2, Origin::Equal, 10, 0, 0, {0, 0}}, - {kB3P, {0, 1}, 2, Origin::Equal, 10, 1, 1, {1, 0}}, - {kB3Z, {0, 1}, 2, Origin::Optimized, 10, 10, 10, {0, 10}}, - {kES, {0}, 3, Origin::Optimized, 12, 12, 34, {2, 10, 2, 10}}, - {kWit, {0}, 2, Origin::Optimized, 1, 1, 1, {0, 1, 0}}, + {kB1, {0, 1}, 3, SourceAllocation::Equal, 12, 4, 8, {2, 2, 2}}, + {kB1, {0, 1}, 3, SourceAllocation::Optimized, 12, 12, 32, {2, 10, 10}}, + {kB2, {0, 1}, 2, SourceAllocation::Equal, 12, 12, 16, {4, 2, 10}}, + {kB2, {0, 1}, 2, SourceAllocation::Optimized, 12, 12, 12, {0, 2, 10}}, + {kB2S, {0, 1}, 2, SourceAllocation::Equal, 12, 4, 4, {2, 2}}, + {kB2S, {0, 1}, 2, SourceAllocation::Optimized, 12, 12, 12, {2, 10}}, + {kB3Z, {0, 1}, 2, SourceAllocation::Equal, 10, 0, 0, {0, 0}}, + {kB3P, {0, 1}, 2, SourceAllocation::Equal, 10, 1, 1, {1, 0}}, + {kB3Z, {0, 1}, 2, SourceAllocation::Optimized, 10, 10, 10, {0, 10}}, + {kES, {0}, 3, SourceAllocation::Optimized, 12, 12, 34, {2, 10, 2, 10}}, + {kWit, {0}, 2, SourceAllocation::Optimized, 1, 1, 1, {0, 1, 0}}, }; for (const auto& w : wants) { - Case k(w.edges, w.s, {w.t}, glob(w.origin)); + Case k(w.edges, w.s, {w.t}, glob(w.source_allocation)); const auto r = k.place(w.request, kEdges); - EXPECT_EQ(r.placed, w.placed); - EXPECT_EQ(r.remaining, w.request - w.placed); - EXPECT_EQ(r.termination, w.placed == w.request ? Termination::Complete : Termination::Exhausted); + EXPECT_EQ(r.call_delivered, w.delivered); + EXPECT_EQ(r.call_undelivered, w.request - w.delivered); + EXPECT_EQ(r.termination, w.delivered == w.request ? Termination::Complete : Termination::Exhausted); EXPECT_EQ(*r.total_cost, c(w.cost)); EXPECT_EQ(*r.edge_flows, w.flows); - EXPECT_EQ(r.cost_distribution.has_value(), w.origin == Origin::Optimized); + EXPECT_EQ(r.marginal_cost_curve.has_value(), w.source_allocation == SourceAllocation::Optimized); } // Source 0's 6 is 2 direct and 4 through node 1. - Case b2(kB2, {0, 1}, {2}, glob(Origin::Equal)); + Case b2(kB2, {0, 1}, {2}, glob(SourceAllocation::Equal)); (void)b2.place(12); EXPECT_EQ(b2.records(), (decltype(b2.records()) {{{{0, 4}, {1, 2}, {2, 4}}, 6}, {{{2, 6}}, 6}})); // The source behind the zero-capacity link masked: it leaves the roster. - Case masked(kB3Z, {0, 1}, {2}, glob(Origin::Equal), {0}); - EXPECT_EQ(masked.place(10).placed, 10); + Case masked(kB3Z, {0, 1}, {2}, glob(SourceAllocation::Equal), {0}); + EXPECT_EQ(masked.place(10).call_delivered, 10); } TEST(GlobalEqual, Increments) { - Case k(kR4, {0, 1}, {2}, glob(Origin::Equal)); + Case k(kR4, {0, 1}, {2}, glob(SourceAllocation::Equal)); const auto a = k.place(3); const auto b = k.place(3, kEdges); - EXPECT_EQ(a.placed, 3); + EXPECT_EQ(a.call_delivered, 3); EXPECT_EQ(a.termination, Termination::Complete); - EXPECT_EQ(b.placed, 1); + EXPECT_EQ(b.call_delivered, 1); EXPECT_EQ(b.termination, Termination::Exhausted); EXPECT_EQ(*b.edge_flows, (std::vector {2, 2})); EXPECT_EQ(*b.total_cost, c(20)); @@ -658,13 +660,13 @@ TEST(GlobalEqual, Increments) { FlowPolicy other(fg, v({0}), v({1}), cost_only()); (void)other.place(8); FlowPolicy p(fg, v({0}), v({1}), glob()); - EXPECT_EQ(p.place(5).placed, 2); + EXPECT_EQ(p.place(5).call_delivered, 2); other.remove(); (void)other.place(5); - EXPECT_EQ(p.place(1).placed, 1); - Case one(kB2, {0, 1}, {2}, glob(Origin::Equal)); + EXPECT_EQ(p.place(1).call_delivered, 1); + Case one(kB2, {0, 1}, {2}, glob(SourceAllocation::Equal)); const auto whole = one.place(12, kEdges); - Case two(kB2, {0, 1}, {2}, glob(Origin::Equal)); + Case two(kB2, {0, 1}, {2}, glob(SourceAllocation::Equal)); (void)two.place(6); const auto split = two.place(6, kEdges); EXPECT_EQ(*split.edge_flows, *whole.edge_flows); @@ -690,7 +692,7 @@ Amount max_flow(const Graph& g, const std::vector& view, const std::vect for (Amount x : view) big += x; std::vector arcs; for (std::size_t e = 0; e < view.size(); ++e) { - if (allowed[e]) arcs.push_back({static_cast(g.edge_src()[e]), static_cast(g.edge_dst()[e]), view[e], 0}); + if (allowed[e]) arcs.push_back({static_cast(g.edge_sources()[e]), static_cast(g.edge_destinations()[e]), view[e], 0}); } for (std::size_t i = 0; i < roots.size(); ++i) arcs.push_back({root, static_cast(roots[i]), caps[i].value_or(big), 0}); for (NodeId d : dsts) arcs.push_back({static_cast(d), sink, big, 0}); @@ -748,10 +750,10 @@ bool negative_cycle(const Graph& g, const std::vector& view, const std:: std::vector arcs; for (std::size_t e = 0; e < view.size(); ++e) { if (!allowed[e]) continue; - const auto u = static_cast(g.edge_src()[e]); - const auto w = static_cast(g.edge_dst()[e]); - if (flows[e] < view[e]) arcs.push_back({u, w, g.cost()[e]}); - if (flows[e] > 0) arcs.push_back({w, u, -static_cast(g.cost()[e])}); + const auto u = static_cast(g.edge_sources()[e]); + const auto w = static_cast(g.edge_destinations()[e]); + if (flows[e] < view[e]) arcs.push_back({u, w, g.edge_costs()[e]}); + if (flows[e] > 0) arcs.push_back({w, u, -static_cast(g.edge_costs()[e])}); } for (std::size_t i = 0; i < dsts.size(); ++i) { arcs.push_back({static_cast(dsts[i]), sink, 0}); @@ -782,29 +784,29 @@ bool negative_cycle(const Graph& g, const std::vector& view, const std:: std::vector> distances(const Graph& g, const std::vector& dsts, const Eligibility* elig) { const auto n = static_cast(g.num_nodes()); std::vector> d(n); - auto node_ok = [&](NodeId x) { return elig == nullptr || elig->node_ok(x); }; + auto node_allowed = [&](NodeId x) { return elig == nullptr || elig->allows_node(x); }; const std::set D(dsts.begin(), dsts.end()); for (NodeId t : dsts) { - if (node_ok(t)) d[static_cast(t)] = 0; + if (node_allowed(t)) d[static_cast(t)] = 0; } for (std::size_t round = 0; round < n; ++round) { for (EdgeId e = 0; e < g.num_edges(); ++e) { - const NodeId u = g.edge_src()[static_cast(e)]; - const NodeId w = g.edge_dst()[static_cast(e)]; - if ((elig != nullptr && !elig->edge_ok(e)) || !node_ok(u) || !node_ok(w) || D.count(u)) continue; + const NodeId u = g.edge_sources()[static_cast(e)]; + const NodeId w = g.edge_destinations()[static_cast(e)]; + if ((elig != nullptr && !elig->allows_edge(e)) || !node_allowed(u) || !node_allowed(w) || D.count(u)) continue; const auto& dw = d[static_cast(w)]; auto& du = d[static_cast(u)]; - if (dw && (!du || *dw + g.cost()[static_cast(e)] < *du)) du = *dw + g.cost()[static_cast(e)]; + if (dw && (!du || *dw + g.edge_costs()[static_cast(e)] < *du)) du = *dw + g.edge_costs()[static_cast(e)]; } } return d; } // The controllers' certificates on random graphs with masks, zero capacities and dispersed costs: -// Global (every allowed edge) or CostOnly MaxFlow (the tight edges the roster reaches) under one -// origin. Flow only on the support, conservation and bounds; supplies RR(T) under the equal -// origin; maximality (equal: RR(T + 1) does not fit; optimized: the maximum flow); minimum cost (no -// negative residual cycle, with free supplies only under the optimized origin). +// CentralizedTE (every allowed edge) or ShortestPaths Optimized (the tight edges the roster reaches) under one +// source allocation. Flow only on the support, conservation and bounds; supplies RR(T) under the equal +// source allocation; maximality (equal: RR(T + 1) does not fit; optimized: the maximum flow); minimum cost (no +// negative residual cycle, with free supplies only under the optimized source allocation). void certify_controllers(bool global) { std::mt19937 rng(global ? 20261019 : 20261020); auto pick = [&](int n) { return static_cast(rng() % static_cast(n)); }; @@ -830,12 +832,12 @@ void certify_controllers(bool global) { const auto dist = distances(*g, t, &mask); std::vector roster; for (NodeId x : s) { - if (mask.node_ok(x) && dist[static_cast(x)]) roster.push_back(x); + if (mask.allows_node(x) && dist[static_cast(x)]) roster.push_back(x); } std::vector allowed(m, 0); for (std::size_t e = 0; e < m; ++e) { - const NodeId u = g->edge_src()[e], w = g->edge_dst()[e]; - allowed[e] = mask.edge_ok(static_cast(e)) && mask.node_ok(u) && mask.node_ok(w); + const NodeId u = g->edge_sources()[e], w = g->edge_destinations()[e]; + allowed[e] = mask.allows_edge(static_cast(e)) && mask.allows_node(u) && mask.allows_node(w); } if (!global) { // The tight edges the roster reaches, not out of a destination. @@ -847,11 +849,11 @@ void certify_controllers(bool global) { stack.pop_back(); if (std::find(t.begin(), t.end(), u) != t.end()) continue; for (std::size_t e = 0; e < m; ++e) { - const NodeId w = g->edge_src()[e] == u ? g->edge_dst()[e] : -1; + const NodeId w = g->edge_sources()[e] == u ? g->edge_destinations()[e] : -1; if (w < 0 || !allowed[e]) continue; const auto& du = dist[static_cast(u)]; const auto& dw = dist[static_cast(w)]; - if (du && dw && *du == *dw + g->cost()[e]) { + if (du && dw && *du == *dw + g->edge_costs()[e]) { support[e] = 1; if (!reach[static_cast(w)]) { reach[static_cast(w)] = 1; @@ -862,16 +864,16 @@ void certify_controllers(bool global) { } allowed = support; } - std::vector view(g->capacity_units().begin(), g->capacity_units().end()); - std::vector placed_by_origin; - for (const auto origin : {Origin::Equal, Origin::Optimized}) { - const auto cfg = global ? glob(origin) : cost_only(FlowPlacement::MaxFlow, Admission::Lossless, std::nullopt, origin); - const std::string where = "trial " + std::to_string(trial) + (origin == Origin::Equal ? " equal" : " optimized"); - const auto r = capacity(*g, s, t, QueryOptions {cfg, &mask, nullptr, kEdges}); + std::vector view(g->edge_capacity_units().begin(), g->edge_capacity_units().end()); + std::vector delivered_by_source_allocation; + for (const auto source_allocation : {SourceAllocation::Equal, SourceAllocation::Optimized}) { + const auto cfg = global ? glob(source_allocation) : cost_only(RouteAllocation::Optimized, Admission::Lossless, {}, source_allocation); + const std::string where = "trial " + std::to_string(trial) + (source_allocation == SourceAllocation::Equal ? " equal" : " optimized"); + const auto r = evaluate_demand(*g, s, t, EvaluationOptions {cfg, &mask, nullptr, kEdges}); const auto& flows = *r.edge_flows; - placed_by_origin.push_back(r.placed); + delivered_by_source_allocation.push_back(r.call_delivered); std::vector fails; - const FlowBalance bal = flow_clauses(*g, view, flows, roster, t, &mask, r.placed, fails); + const FlowBalance bal = flow_clauses(*g, view, flows, roster, t, &mask, r.call_delivered, fails); EXPECT_TRUE(fails.empty()) << where << ": " << (fails.empty() ? "" : fails.front()); for (std::size_t e = 0; e < m; ++e) { if (!allowed[e]) EXPECT_EQ(flows[e], 0) << where << " edge " << e; @@ -880,10 +882,10 @@ void certify_controllers(bool global) { for (NodeId x : roster) supply.push_back(static_cast(bal.supply[static_cast(x)])); for (NodeId x : t) inflow.push_back(static_cast(bal.inflow[static_cast(x)])); Int128 cost = 0; - for (std::size_t e = 0; e < m; ++e) cost += static_cast(g->cost()[e]) * flows[e]; + for (std::size_t e = 0; e < m; ++e) cost += static_cast(g->edge_costs()[e]) * flows[e]; EXPECT_EQ(*r.total_cost, (Counter128 {0, static_cast(cost)})) << where; const auto k = roster.size(); - if (origin == Origin::Equal) { + if (source_allocation == SourceAllocation::Equal) { if (k > 0) { // The round-robin quotas written out (not the library's round_robin): T / k each, one more // for the first T % k roster sources. @@ -894,26 +896,26 @@ void certify_controllers(bool global) { } return q; }; - EXPECT_EQ(supply, quotas(r.placed)) << where; - const auto next = quotas(r.placed + 1); + EXPECT_EQ(supply, quotas(r.call_delivered)) << where; + const auto next = quotas(r.call_delivered + 1); std::vector> caps(next.begin(), next.end()); - EXPECT_LT(max_flow(*g, view, allowed, roster, caps, t), r.placed + 1) << where; + EXPECT_LT(max_flow(*g, view, allowed, roster, caps, t), r.call_delivered + 1) << where; } - EXPECT_FALSE(r.cost_distribution.has_value()) << where; + EXPECT_FALSE(r.marginal_cost_curve.has_value()) << where; } else { const std::vector> free(k); - EXPECT_EQ(max_flow(*g, view, allowed, roster, free, t), r.placed) << where; + EXPECT_EQ(max_flow(*g, view, allowed, roster, free, t), r.call_delivered) << where; } - EXPECT_FALSE(negative_cycle(*g, view, allowed, flows, roster, supply, t, inflow, origin == Origin::Optimized)) << where; + EXPECT_FALSE(negative_cycle(*g, view, allowed, flows, roster, supply, t, inflow, source_allocation == SourceAllocation::Optimized)) << where; // A row for every input source; the supplies are the rows' admitted amounts. ASSERT_EQ(r.by_source.size(), std::set(s.begin(), s.end()).size()) << where; for (const auto& row : r.by_source) { const auto it = std::find(roster.begin(), roster.end(), row.source); EXPECT_EQ(lo(row.admitted), it == roster.end() ? 0 : supply[static_cast(it - roster.begin())]) << where; } - if (r.placed > 0) ++positive; + if (r.call_delivered > 0) ++positive; } - if (placed_by_origin[0] != placed_by_origin[1]) ++differ; + if (delivered_by_source_allocation[0] != delivered_by_source_allocation[1]) ++differ; } EXPECT_GT(positive, 150); EXPECT_GT(differ, 15); @@ -925,7 +927,7 @@ TEST(GlobalEqual, Certificates) { certify_controllers(true); } TEST(CostOnlyMaxFlow, Certificates) { certify_controllers(false); } -// total_cost is exact beyond 64 bits, for both controllers under both origins (the values as +// total_cost is exact beyond 64 bits, for both controllers under both source allocations (the values as // hexadecimal halves {hi, lo}). One link of capacity = cost = 2^40: 2^80. Two sources, 0 -> 2 // (capacity 2^40, cost 2^40) and 1 -> 2 (capacity 2^39, cost 2^41): optimized carries both links // full, 2^80 + 2^80 = 2^81; equal stops at T = 2^40 + 1 (shares 2^39 + 1 and 2^39; one more unit @@ -948,21 +950,21 @@ TEST(ResultShape, TotalCostBeyond64Bits) { }; for (const auto& w : wants) { const auto g = graph(w.edges); - for (const auto origin : {Origin::Optimized, Origin::Equal}) { - const Counter128 want = origin == Origin::Optimized ? w.optimized : w.equal; + for (const auto source_allocation : {SourceAllocation::Optimized, SourceAllocation::Equal}) { + const Counter128 want = source_allocation == SourceAllocation::Optimized ? w.optimized : w.equal; for (const auto& cfg : - {glob(origin), cost_only(FlowPlacement::MaxFlow, Admission::Lossless, std::nullopt, origin)}) { + {glob(source_allocation), cost_only(RouteAllocation::Optimized, Admission::Lossless, {}, source_allocation)}) { Case k(w.edges, w.s, {w.t}, cfg); EXPECT_EQ(*k.place(std::nullopt).total_cost, want); - EXPECT_EQ(*capacity(*g, w.s, v({w.t}), QueryOptions {cfg}).total_cost, want); + EXPECT_EQ(*evaluate_demand(*g, w.s, v({w.t}), EvaluationOptions {cfg}).total_cost, want); const std::vector, std::vector>> pairs = {{w.s, {w.t}}, {w.s, {w.t}}}; - for (const auto& r : batch_capacity(*g, pairs, QueryOptions {cfg}, {}, 2)) EXPECT_EQ(*r.total_cost, want); + for (const auto& r : evaluate_pairs(*g, pairs, EvaluationOptions {cfg}, {}, 2)) EXPECT_EQ(*r.total_cost, want); } } } } -// min_cut is its own output, for the optimized Global only. +// min_cut is its own output, for the optimized CentralizedTE only. TEST(GlobalMinCut, Flag) { for (const auto& [edges, t] : {std::pair {kB1, NodeId {3}}, std::pair {kB3Z, NodeId {2}}}) { Case k(edges, {0, 1}, {t}, glob()); @@ -974,7 +976,7 @@ TEST(GlobalMinCut, Flag) { EXPECT_EQ(*z.min_cut, (std::vector {0})); Case bottleneck(kB1, {0, 1}, {3}, glob()); EXPECT_FALSE(bottleneck.place(std::nullopt, OutputOptions {false, false, true, false}).min_cut.has_value()); - Case equal(kB1, {0, 1}, {3}, glob(Origin::Equal)); + Case equal(kB1, {0, 1}, {3}, glob(SourceAllocation::Equal)); EXPECT_FALSE(equal.place(std::nullopt, kCut).min_cut.has_value()); Case below(kB1, {0, 1}, {3}, glob()); EXPECT_FALSE(below.place(5, kCut).min_cut.has_value()); @@ -983,14 +985,14 @@ TEST(GlobalMinCut, Flag) { const auto e = empty.place(5, kCut); EXPECT_EQ(e.termination, Termination::NoRoute); EXPECT_EQ(*e.min_cut, (std::vector {})); - EXPECT_EQ(*e.cost_distribution, (std::vector> {})); + EXPECT_EQ(*e.marginal_cost_curve, (std::vector> {})); EXPECT_EQ(*e.total_cost, c(0)); } // ---------------------------------------------------------------- terminations and the result TEST(Terminations, Order) { - for (const auto& cfg : {glob(), cost_only(), cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)}) { + for (const auto& cfg : {glob(), cost_only(), cost_only(RouteAllocation::Equal, Admission::Lossy)}) { Case k({{1, 0, 5, 1}}, {0}, {1}, cfg); EXPECT_EQ(k.place(0).termination, Termination::Complete); const auto r = k.place(5); @@ -998,23 +1000,23 @@ TEST(Terminations, Order) { if (cfg.admission == Admission::Lossy) { // Nothing enters: the offer is all source loss, every row zero. EXPECT_EQ(lo(r.offered), 5); - EXPECT_EQ(lo(r.source_loss), 5); - EXPECT_EQ(r.call_source_loss, 5); + EXPECT_EQ(lo(r.source_drops), 5); + EXPECT_EQ(r.call_source_drops, 5); EXPECT_EQ(rows(r), (std::vector {{0, 0, 0, 0, 0, 0}})); } else { EXPECT_EQ(lo(r.unadmitted), 5); } } - Case w(kZero, {0}, {1}, cost_only(FlowPlacement::Weighted, Admission::Lossy)); + Case w(kZero, {0}, {1}, cost_only(RouteAllocation::Weighted, Admission::Lossy)); const auto wr = w.place(2); EXPECT_EQ(wr.termination, Termination::NoActiveWeight); - EXPECT_EQ(wr.call_source_loss, 2); + EXPECT_EQ(wr.call_source_drops, 2); EXPECT_EQ(lo(wr.offered), 2); - Case wl(kZero, {0}, {1}, cost_only(FlowPlacement::Weighted)); + Case wl(kZero, {0}, {1}, cost_only(RouteAllocation::Weighted)); const auto wlr = wl.place(2); EXPECT_EQ(wlr.termination, Termination::NoActiveWeight); EXPECT_EQ(lo(wlr.unadmitted), 2); - Case lossy(kB1, {0, 1}, {3}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)); + Case lossy(kB1, {0, 1}, {3}, cost_only(RouteAllocation::Equal, Admission::Lossy)); EXPECT_EQ(lossy.place(12).termination, Termination::Complete); Case unlimited(kPool, {0, 1}, {3}, cost_only()); EXPECT_EQ(unlimited.place(std::nullopt).termination, Termination::Exhausted); @@ -1024,42 +1026,42 @@ TEST(Terminations, Order) { TEST(Terminations, ControllerAtZero) { Case g(kZero, {0}, {1}, glob()); EXPECT_EQ(g.place(5).termination, Termination::Exhausted); - Case m(kSpf, {0}, {1}, cost_only(FlowPlacement::MaxFlow)); + Case m(kSpf, {0}, {1}, cost_only(RouteAllocation::Optimized)); EXPECT_EQ(m.place(5).termination, Termination::Exhausted); } // Lossless accounting. TEST(ResultShape, LosslessAccounting) { - Case k(kB1, {0, 1}, {3}, glob(Origin::Equal)); + Case k(kB1, {0, 1}, {3}, glob(SourceAllocation::Equal)); const auto r = k.place(12); EXPECT_EQ(lo(r.requested), 12); EXPECT_FALSE(r.offered.has_value()); EXPECT_EQ(lo(r.admitted), 4); EXPECT_EQ(r.delivered, 4); EXPECT_EQ(lo(r.unadmitted), 8); - EXPECT_EQ(lo(r.source_loss), 0); - EXPECT_TRUE(r.drops.empty() && r.call_drops.empty()); - EXPECT_EQ(r.call_source_loss, 0); + EXPECT_EQ(lo(r.source_drops), 0); + EXPECT_TRUE(r.edge_drops.empty() && r.call_edge_drops.empty()); + EXPECT_EQ(r.call_source_drops, 0); EXPECT_EQ(r.delivery_delta, 4); EXPECT_EQ(rows(r), (std::vector {{0, kNone, 2, 2, 0, 0}, {1, kNone, 2, 2, 0, 0}})); } // Lossy accounting: state versus call. TEST(ResultShape, LossyAccounting) { - Case k(kChain, {0, 1}, {2}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)); + Case k(kChain, {0, 1}, {2}, cost_only(RouteAllocation::Equal, Admission::Lossy)); const auto r = k.place(10); EXPECT_EQ(lo(r.requested), 10); EXPECT_EQ(lo(r.offered), 10); EXPECT_EQ(lo(r.admitted), 10); EXPECT_EQ(r.delivered, 3); EXPECT_EQ(lo(r.unadmitted), 0); - EXPECT_EQ(lo(r.source_loss), 0); - EXPECT_EQ(r.drops, (Counters {{0, c(7)}})); - Case inc(kInc, {0, 1}, {2}, cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)); + EXPECT_EQ(lo(r.source_drops), 0); + EXPECT_EQ(r.edge_drops, (Counters {{0, c(7)}})); + Case inc(kInc, {0, 1}, {2}, cost_only(RouteAllocation::Equal, Admission::Lossy)); (void)inc.place(3); const auto b = inc.place(1); - EXPECT_TRUE(b.call_drops.empty()); - EXPECT_EQ(b.drops, (Counters {{0, c(1)}})); + EXPECT_TRUE(b.call_edge_drops.empty()); + EXPECT_EQ(b.edge_drops, (Counters {{0, c(1)}})); } // A row for every input source; total_cost only for the controllers. @@ -1069,20 +1071,20 @@ TEST(ResultShape, RowsForEveryInputSource) { (std::vector {{0, kNone, 3, 3, 0, 0}, {1, kNone, 0, 0, 0, 0}, {4, kNone, 0, 0, 0, 0}})); const auto g = graph(kB1); const Pinned pin = pinned_dags(*g, 0, 3, {dag_of(*g, {0})}); - for (const auto& cfg : {cost_only(), cost_only(FlowPlacement::Weighted)}) { + for (const auto& cfg : {cost_only(), cost_only(RouteAllocation::Weighted)}) { FlowLedger fg(g); EXPECT_FALSE(FlowPolicy(fg, v({0, 1}), v({3}), cfg).place(1).total_cost.has_value()); } FlowLedger ft(g); - EXPECT_FALSE(FlowPolicy(ft, v({0, 1}), v({3}), FlowPolicyConfig {.routing = CapacityAware {Tunnels {1}}}) + EXPECT_FALSE(FlowPolicy(ft, v({0, 1}), v({3}), FlowPolicyConfig {.routing = DistributedTE {TunnelCount {1}}}) .replace(1) .total_cost.has_value()); FlowLedger fg(g); EXPECT_FALSE(FlowPolicy(fg, v({0}), v({3}), FlowPolicyConfig {.routing = pin}).place(1).total_cost.has_value()); FlowLedger fs(g); - EXPECT_EQ(*FlowPolicy(fs, v({0}), v({3}), FlowPolicyConfig {.routing = Global {dag_of(*g, {0})}}).place(1).total_cost, + EXPECT_EQ(*FlowPolicy(fs, v({0}), v({3}), FlowPolicyConfig {.routing = centralized(SourceAllocation::Optimized, dag_of(*g, {0}))}).place(1).total_cost, c(1)); - Case mf(kB1, {0, 1}, {3}, cost_only(FlowPlacement::MaxFlow)); + Case mf(kB1, {0, 1}, {3}, cost_only(RouteAllocation::Optimized)); EXPECT_EQ(*mf.place(12).total_cost, c(32)); } @@ -1091,20 +1093,20 @@ TEST(ResultShape, PinnedInTheNewShape) { const auto g = graph(kZero); FlowLedger fg(g); FlowPolicy w(fg, v({0}), v({1}), - FlowPolicyConfig {.routing = pinned_dags(*g, 0, 1, {dag_of(*g, {0})}, FlowPlacement::Weighted), + FlowPolicyConfig {.routing = pinned_dags(*g, 0, 1, {dag_of(*g, {0})}, RouteAllocation::Weighted), .admission = Admission::Lossy}); const auto r = w.place(2); - EXPECT_EQ(r.placed, 0); + EXPECT_EQ(r.call_delivered, 0); EXPECT_EQ(r.termination, Termination::NoActiveWeight); - EXPECT_EQ(r.call_source_loss, 2); - EXPECT_EQ(lo(r.source_loss), 2); + EXPECT_EQ(r.call_source_drops, 2); + EXPECT_EQ(lo(r.source_drops), 2); EXPECT_EQ(lo(r.offered), 2); EXPECT_EQ(rows(r), (std::vector {{0, 2, 2, 0, 2, 0}})); FlowLedger fg2(g); FlowPolicy eb(fg2, v({0}), v({1}), FlowPolicyConfig {.routing = pinned_dags(*g, 0, 1, {dag_of(*g, {0})}), .admission = Admission::Lossy}); const auto e = eb.place(2); - EXPECT_EQ(e.drops, (Counters {{0, c(2)}})); + EXPECT_EQ(e.edge_drops, (Counters {{0, c(2)}})); EXPECT_EQ(e.termination, Termination::Complete); } @@ -1113,16 +1115,16 @@ TEST(ResultShape, PinnedInTheNewShape) { TEST(Evaluators, CapacityUnderBothOrigins) { const auto g = graph(kB1); const std::vector> wants = { - {glob(Origin::Equal), 4}, + {glob(SourceAllocation::Equal), 4}, {glob(), 12}, - {cost_only(FlowPlacement::MaxFlow), 12}, - {cost_only(FlowPlacement::MaxFlow, Admission::Lossless, std::nullopt, Origin::Equal), 4}, + {cost_only(RouteAllocation::Optimized), 12}, + {cost_only(RouteAllocation::Optimized, Admission::Lossless, {}, SourceAllocation::Equal), 4}, {cost_only(), 4}, }; - for (const auto& [cfg, placed] : wants) EXPECT_EQ(capacity(*g, v({0, 1}), v({3}), QueryOptions {cfg}).placed, placed); - EXPECT_EQ(capacity(*graph(kPool), v({0, 1}), v({3}), QueryOptions {cost_only()}).placed, 2); - const auto r = capacity(*graph(kPriv), v({0, 1}), v({2}), - QueryOptions {cost_only(FlowPlacement::EqualBalanced, Admission::Lossy)}); + for (const auto& [cfg, delivered] : wants) EXPECT_EQ(evaluate_demand(*g, v({0, 1}), v({3}), EvaluationOptions {cfg}).call_delivered, delivered); + EXPECT_EQ(evaluate_demand(*graph(kPool), v({0, 1}), v({3}), EvaluationOptions {cost_only()}).call_delivered, 2); + const auto r = evaluate_demand(*graph(kPriv), v({0, 1}), v({2}), + EvaluationOptions {cost_only(RouteAllocation::Equal, Admission::Lossy)}); EXPECT_EQ(r.delivered, 10); EXPECT_EQ(lo(r.offered), 10); EXPECT_FALSE(r.requested.has_value()); @@ -1133,36 +1135,36 @@ TEST(Evaluators, BatchEqual) { const auto g = graph(kB1); const std::vector, std::vector>> pairs = {{{0, 1}, {3}}, {{0}, {3}}, {{1}, {3}}}; std::vector got; - for (const auto& r : batch_capacity(*g, pairs, QueryOptions {glob(Origin::Equal)}, {}, 2)) got.push_back(r.placed); + for (const auto& r : evaluate_pairs(*g, pairs, EvaluationOptions {glob(SourceAllocation::Equal)}, {}, 2)) got.push_back(r.call_delivered); EXPECT_EQ(got, (std::vector {4, 2, 10})); } // The pooled single-path rule per pair, the lowest failing pair. TEST(Evaluators, BatchQ12PerPair) { const auto g = graph(kPool); - const QueryOptions opts {cost_only(FlowPlacement::EqualBalanced, Admission::Lossless, kPreferPath)}; + const EvaluationOptions opts {cost_only(RouteAllocation::Equal, Admission::Lossless, kPreferPath)}; const std::vector, std::vector>> bad = {{{0}, {3}}, {{0, 1}, {3}}}; - EXPECT_EQ(error_of([&] { (void)batch_capacity(*g, bad, opts, {}, 1); }), kQ12); + EXPECT_EQ(error_of([&] { (void)evaluate_pairs(*g, bad, opts, {}, 1); }), kQ12); const std::vector, std::vector>> good = {{{0}, {3}}, {{1}, {3}}}; - EXPECT_EQ(batch_capacity(*g, good, opts, {}, 1).size(), 2U); + EXPECT_EQ(evaluate_pairs(*g, good, opts, {}, 1).size(), 2U); } -// Every allowed edge is a candidate under the equal origin. +// Every allowed edge is a candidate under the equal source allocation. TEST(Evaluators, SensitivityEqualGlobal) { for (int workers : {1, 2}) { - const auto r = sensitivity(*graph(kB3Z), v({0, 1}), v({2}), QueryOptions {glob(Origin::Equal)}, workers); - EXPECT_EQ(r.baseline.placed, 0); + const auto r = evaluate_edge_failures(*graph(kB3Z), v({0, 1}), v({2}), EvaluationOptions {glob(SourceAllocation::Equal)}, workers); + EXPECT_EQ(r.baseline.call_delivered, 0); std::vector> got; - for (const auto& e : r.entries) got.emplace_back(e.edge, e.loss); + for (const auto& e : r.entries) got.emplace_back(e.edge, e.delivery_reduction); EXPECT_EQ(got, (std::vector> {{0, -10}, {1, 0}})); } } -// Pooled CostOnly: deleting e0 takes source 0 out of the roster. +// Pooled ShortestPaths: deleting e0 takes source 0 out of the roster. TEST(Evaluators, SensitivityPooled) { - const auto r = sensitivity(*graph(kB1), v({0, 1}), v({3}), QueryOptions {cost_only()}, 1); - EXPECT_EQ(r.baseline.placed, 4); + const auto r = evaluate_edge_failures(*graph(kB1), v({0, 1}), v({3}), EvaluationOptions {cost_only()}, 1); + EXPECT_EQ(r.baseline.call_delivered, 4); std::vector> got; - for (const auto& e : r.entries) got.emplace_back(e.edge, e.loss); + for (const auto& e : r.entries) got.emplace_back(e.edge, e.delivery_reduction); EXPECT_EQ(got, (std::vector> {{0, -6}, {1, 2}, {2, 2}})); } diff --git a/tests/cpp/program_tests.cpp b/tests/cpp/program_tests.cpp index 633d382..853653a 100644 --- a/tests/cpp/program_tests.cpp +++ b/tests/cpp/program_tests.cpp @@ -1,4 +1,4 @@ -// Forwarding programs, natively: what every model exports, Global with a support, the +// Forwarding programs, natively: what every model exports, CentralizedTE with a support, the // weight bases, ForwardingProgram::from_routes, Pinned over programs, the lossless bound, the loss // rule inside one program (cycles included), replay under a failure mask, stale forwarding with // black holes, the operations evaluate, replace and forward with their epochs and flags, the @@ -23,16 +23,16 @@ #include #include -#include "netgraph/core/dag_cache.hpp" +#include "netgraph/core/shortest_path_cache.hpp" #include "netgraph/core/detail/forwarding.hpp" -#include "netgraph/core/detail/kernels.hpp" +#include "netgraph/core/detail/route_kernels.hpp" #include "netgraph/core/detail/policy_engine.hpp" #include "netgraph/core/detail/private_hooks.hpp" #include "netgraph/core/detail/program_data.hpp" #include "netgraph/core/evaluators.hpp" #include "netgraph/core/flow_ledger.hpp" #include "netgraph/core/flow_policy.hpp" -#include "netgraph/core/program.hpp" +#include "netgraph/core/forwarding_program.hpp" #include "state_comparators.hpp" #include "test_utils.hpp" @@ -41,9 +41,9 @@ using namespace netgraph::core::test; namespace { -constexpr FlowPlacement EB = FlowPlacement::EqualBalanced; -constexpr FlowPlacement W = FlowPlacement::Weighted; -constexpr FlowPlacement MF = FlowPlacement::MaxFlow; +constexpr RouteAllocation EB = RouteAllocation::Equal; +constexpr RouteAllocation W = RouteAllocation::Weighted; +constexpr RouteAllocation MF = RouteAllocation::Optimized; constexpr Admission LOSSY = Admission::Lossy; constexpr Admission LOSSLESS = Admission::Lossless; constexpr TunnelStatus UP = TunnelStatus::Up; @@ -71,7 +71,7 @@ Amount lo(const std::optional& x) { // A graph whose rows are already in EdgeId order (source, cost, destination, input). std::shared_ptr graph(std::int32_t n, const std::vector& rows) { auto g = shared(make_graph(n, rows)); - for (std::size_t i = 0; i < rows.size(); ++i) EXPECT_EQ(g->input_index()[i], static_cast(i)); + for (std::size_t i = 0; i < rows.size(); ++i) EXPECT_EQ(g->input_positions()[i], static_cast(i)); return g; } std::shared_ptr par2(Amount a, Amount b) { return graph(2, {{0, 1, a, 1}, {0, 1, b, 1}}); } @@ -129,21 +129,21 @@ std::shared_ptr path(const Graph& g, const std::vector& edge for (EdgeId e : edges) hops.push_back({e}); return std::make_shared(g, hops); } -Route tunnel_route(const Graph& g, NodeId head, const std::vector& edges, Amount weight = 1) { - return Route {head, path(g, edges), weight}; +RouteDefinition tunnel_route(const Graph& g, NodeId head, const std::vector& edges, Amount weight = 1) { + return RouteDefinition {head, path(g, edges), weight}; } -Route dag_route(const Graph& g, NodeId head, const std::vector& edges, Amount weight = 1) { - return Route {head, dag_of(g, edges), weight}; +RouteDefinition dag_route(const Graph& g, NodeId head, const std::vector& edges, Amount weight = 1) { + return RouteDefinition {head, dag_of(g, edges), weight}; } std::shared_ptr program(const Graph& g, const std::vector& s, - const std::vector& d, const std::vector& routes, + const std::vector& d, const std::vector& routes, const RouteOptions& options = {}) { return ForwardingProgram::from_routes(g, s, d, routes, options); } // A supplied program of tunnels. std::shared_ptr tunnels(const Graph& g, const std::vector& s, const std::vector& d, const std::vector& specs) { - std::vector routes; + std::vector routes; for (const auto& [h, es, w] : specs) routes.push_back(tunnel_route(g, h, es, w)); return program(g, s, d, routes); } @@ -171,23 +171,23 @@ Pol make(const std::shared_ptr& g, const std::vector& s, co return out; } -FlowPolicyConfig cost_only(FlowPlacement placement = EB, Admission admission = LOSSLESS) { - return FlowPolicyConfig {.routing = CostOnly {}, .placement = placement, .admission = admission}; +FlowPolicyConfig cost_only(RouteAllocation placement = EB, Admission admission = LOSSLESS) { + return FlowPolicyConfig {.routing = shortest_paths(placement), .admission = admission}; } FlowPolicyConfig weighted(Admission admission, WeightBasis basis, std::vector edge_weights = {}) { - auto cfg = cost_only(W, admission); - cfg.weights = basis; - if (basis == WeightBasis::Explicit) cfg.edge_weights = std::make_shared>(std::move(edge_weights)); - return cfg; + ShortestPaths sp = shortest_paths(W); + sp.weight_basis = basis; + if (basis == WeightBasis::Explicit) sp.edge_weights = std::make_shared>(std::move(edge_weights)); + return FlowPolicyConfig {.routing = sp, .admission = admission}; } -FlowPolicyConfig global(std::optional origin = std::nullopt, std::shared_ptr support = nullptr) { - return FlowPolicyConfig {.routing = Global {std::move(support)}, .origin = origin}; +FlowPolicyConfig global(std::optional source_allocation = std::nullopt, std::shared_ptr support = nullptr) { + return FlowPolicyConfig {.routing = centralized(source_allocation.value_or(SourceAllocation::Optimized), std::move(support))}; } FlowPolicyConfig pinned_config(std::shared_ptr prog, Admission admission = LOSSLESS, std::shared_ptr black_holes = nullptr) { return FlowPolicyConfig {.routing = Pinned {std::move(prog), std::move(black_holes)}, .admission = admission}; } -FlowPolicyConfig capacity_aware() { return FlowPolicyConfig {.routing = CapacityAware {Tunnels {1}}}; } +FlowPolicyConfig capacity_aware() { return FlowPolicyConfig {.routing = DistributedTE {TunnelCount {1}}}; } Pol pinned(const std::shared_ptr& g, const std::shared_ptr& prog, Admission admission = LOSSLESS, std::shared_ptr elig = nullptr, @@ -198,7 +198,7 @@ Pol pinned(const std::shared_ptr& g, const std::shared_ptr> entries(const FlowPolicy& p) { std::vector> out; - for (const auto& r : p.records()) out.push_back(r.entry); + for (const auto& r : p.records()) out.push_back(r.entry_id); return out; } Amounts delivered(const FlowPolicy& p) { @@ -224,9 +224,9 @@ std::vector ids(const FlowPolicy& p) { const OutputOptions kEdges {.edge_flows = true}; -QueryOptions query(FlowPolicyConfig cfg, std::optional> offered = std::nullopt) { - QueryOptions q {std::move(cfg)}; - q.offered = offered; +EvaluationOptions query(FlowPolicyConfig cfg, std::optional> offered = std::nullopt) { + EvaluationOptions q {std::move(cfg)}; + q.offer = offered; return q; } std::optional> offer(Amount x) { return std::optional> {std::in_place, x}; } @@ -234,7 +234,7 @@ std::optional> offer_inf() { return std::optional> losses(const SensitivityResult& s) { std::vector> out; - for (const auto& e : s.entries) out.emplace_back(e.edge, e.loss); + for (const auto& e : s.entries) out.emplace_back(e.edge, e.delivery_reduction); return out; } @@ -247,7 +247,7 @@ const std::string kRoundLimit = "lossy forwarding iteration did not reach a fixe // ---------------------------------------------------------------- exported programs -// B1, Global optimized, place(12). +// B1, CentralizedTE optimized, place(12). TEST(ProgramExport, GlobalOptimized) { const auto g = graph(4, kB1); auto p = make(g, {0, 1}, {3}, global()); @@ -256,7 +256,7 @@ TEST(ProgramExport, GlobalOptimized) { const auto& prog = *r.program; EXPECT_EQ(listing(prog), (Listing {{0, {0}, 2}, {1, {1, 2}, 10}})); std::vector> fields; - for (const auto& t : prog.tunnels()) fields.emplace_back(t.index, t.local_index, *t.destination, *t.route_cost); + for (const auto& t : prog.tunnels()) fields.emplace_back(t.entry_id, t.local_index, *t.destination, *t.path_cost); EXPECT_EQ(fields, (std::vector> {{0, 0, 3, 1}, {1, 0, 3, 3}})); ASSERT_TRUE(prog.source_weights().has_value()); EXPECT_EQ(*prog.source_weights(), (std::vector> {{0, 2}, {1, 10}})); @@ -268,12 +268,12 @@ TEST(ProgramExport, GlobalOptimized) { EXPECT_EQ(p->program(), r.program); } -// The equal origin admits 4 and keeps no source weights. +// The equal source allocation admits 4 and keeps no source weights. TEST(ProgramExport, GlobalEqual) { const auto g = graph(4, kB1); - auto p = make(g, {0, 1}, {3}, global(Origin::Equal)); + auto p = make(g, {0, 1}, {3}, global(SourceAllocation::Equal)); const auto r = p->place(12); - EXPECT_EQ(r.placed, 4); + EXPECT_EQ(r.call_delivered, 4); EXPECT_EQ(listing(*r.program), (Listing {{0, {0}, 2}, {1, {1, 2}, 2}})); EXPECT_FALSE(r.program->source_weights().has_value()); } @@ -285,23 +285,23 @@ TEST(ProgramExport, SingleSourceDecomposed) { const auto r = p->place(12); EXPECT_EQ(listing(*r.program), (Listing {{0, {0, 2}, 2}, {0, {1, 3}, 10}})); std::vector> fields; - for (const auto& t : r.program->tunnels()) fields.emplace_back(t.local_index, *t.route_cost); + for (const auto& t : r.program->tunnels()) fields.emplace_back(t.local_index, *t.path_cost); EXPECT_EQ(fields, (std::vector> {{0, 2}, {1, 3}})); EXPECT_EQ(r.total_cost, c(34)); EXPECT_EQ(*r.program->source_weights(), (std::vector> {{0, 12}})); } -// CostOnly MaxFlow exports its controller's paths. +// ShortestPaths Optimized exports its controller's paths. TEST(ProgramExport, CostOnlyMaxFlow) { const auto g = graph(4, kES); auto p = make(g, {0}, {3}, cost_only(MF)); const auto r = p->place(12); - EXPECT_EQ(r.placed, 2); + EXPECT_EQ(r.call_delivered, 2); EXPECT_EQ(listing(*r.program), (Listing {{0, {0, 2}, 2}})); EXPECT_EQ(*r.program->source_weights(), (std::vector> {{0, 2}})); } -// A CostOnly split program lists no tunnel. +// A ShortestPaths split program lists no tunnel. TEST(ProgramExport, CostOnlySplit) { const auto g = graph(4, kPool2); auto p = make(g, {0, 1}, {3}, cost_only()); @@ -345,10 +345,10 @@ TEST(ProgramExport, ReplayReproducesTheSolve) { const auto prog = solver->place(12).program; auto p = pinned(g, prog); const auto r = p->place(12, kEdges); - EXPECT_EQ(r.placed, 12); + EXPECT_EQ(r.call_delivered, 12); EXPECT_EQ(r.termination, Termination::Complete); EXPECT_EQ(*r.edge_flows, (Amounts {2, 10, 10})); - EXPECT_EQ(pinned(g, prog)->place(INF).placed, 12); + EXPECT_EQ(pinned(g, prog)->place(INF).call_delivered, 12); } // The producer's mask is saved: no replay brings source 1 back. @@ -356,10 +356,10 @@ TEST(ProgramExport, MaskSaved) { const auto g = graph(4, kB1); auto masked = make(g, {0, 1}, {3}, global(), no_nodes(*g, {1})); const auto r = masked->place(12); - EXPECT_EQ(r.placed, 2); + EXPECT_EQ(r.call_delivered, 2); EXPECT_EQ(listing(*r.program), (Listing {{0, {0}, 2}})); const auto lossy = pinned(g, r.program, LOSSY)->replace(12); - EXPECT_EQ(lossy.placed, 2); + EXPECT_EQ(lossy.call_delivered, 2); ASSERT_EQ(lossy.by_source.size(), 2U); EXPECT_EQ(lo(lossy.by_source[0].offered), 12); EXPECT_EQ(lo(lossy.by_source[1].offered), 0); @@ -390,20 +390,20 @@ TEST(PinnedProgram, ProgramIsTheConfiguredOne) { EXPECT_EQ(listing(*r.program), listing(*prog)); } -// ---------------------------------------------------------------- Global with a support +// ---------------------------------------------------------------- CentralizedTE with a support // Only the support carries traffic; no cut, no curve. TEST(GlobalSupport, OnlyTheSupport) { const auto g = graph(4, kES); auto p = make(g, {0}, {3}, global(std::nullopt, dag_of(*g, {1, 3}))); const auto r = p->place(12, OutputOptions {.min_cut = true}); - EXPECT_EQ(r.placed, 10); + EXPECT_EQ(r.call_delivered, 10); EXPECT_EQ(r.total_cost, c(30)); EXPECT_FALSE(r.min_cut.has_value()); - EXPECT_FALSE(r.cost_distribution.has_value()); + EXPECT_FALSE(r.marginal_cost_curve.has_value()); EXPECT_EQ(listing(*r.program), (Listing {{0, {1, 3}, 10}})); const auto full = make(g, {0}, {3}, global())->place(12); - EXPECT_EQ(full.placed, 12); + EXPECT_EQ(full.call_delivered, 12); EXPECT_EQ(full.total_cost, c(34)); } @@ -411,7 +411,7 @@ TEST(GlobalSupport, OnlyTheSupport) { TEST(GlobalSupport, Trimmed) { const auto g = graph(4, kES); const auto r = make(g, {0}, {3}, global(std::nullopt, dag_of(*g, {0, 1, 3})))->place(12, kEdges); - EXPECT_EQ(r.placed, 10); + EXPECT_EQ(r.call_delivered, 10); EXPECT_EQ(*r.edge_flows, (Amounts {0, 10, 0, 10})); } @@ -420,24 +420,24 @@ TEST(GlobalSupport, MaskRemovesSupport) { const auto g = graph(4, kES); const auto r = make(g, {0}, {3}, global(std::nullopt, dag_of(*g, {1, 3})), no_edges(*g, {3}))->place(12); EXPECT_EQ(r.termination, Termination::NoRoute); - EXPECT_EQ(r.placed, 0); + EXPECT_EQ(r.call_delivered, 0); ASSERT_TRUE(r.program); EXPECT_TRUE(r.program->tunnels().empty()); } -// The equal origin on a support: RR(4, 2) fits, RR(5, 2) does not. +// The equal source allocation on a support: RR(4, 2) fits, RR(5, 2) does not. TEST(GlobalSupport, EqualOrigin) { const auto g = graph(3, kB2); - const auto r = make(g, {0, 1}, {2}, global(Origin::Equal, dag_of(*g, {1, 2})))->place(12); - EXPECT_EQ(r.placed, 4); + const auto r = make(g, {0, 1}, {2}, global(SourceAllocation::Equal, dag_of(*g, {1, 2})))->place(12); + EXPECT_EQ(r.call_delivered, 4); EXPECT_EQ(r.total_cost, c(4)); } // Every allowed link of a support is a candidate, no shortcut. TEST(GlobalSupport, Sensitivity) { const auto g = graph(4, kES); - const auto s = sensitivity(*g, v({0}), v({3}), query(global(std::nullopt, dag_of(*g, {1, 3}))), 1); - EXPECT_EQ(s.baseline.placed, 10); + const auto s = evaluate_edge_failures(*g, v({0}), v({3}), query(global(std::nullopt, dag_of(*g, {1, 3}))), 1); + EXPECT_EQ(s.baseline.call_delivered, 10); EXPECT_EQ(losses(s), (std::vector> {{0, 0}, {1, 10}, {2, 0}, {3, 10}})); } @@ -445,7 +445,7 @@ TEST(GlobalSupport, Sensitivity) { TEST(GlobalSupport, TotalCostBeyond64Bits) { const auto g = graph(2, {{0, 1, Amount {1} << 40, Cost {1} << 30}}); const auto r = make(g, {0}, {1}, global(std::nullopt, dag_of(*g, {0})))->place(Amount {1} << 40); - EXPECT_EQ(r.placed, Amount {1} << 40); + EXPECT_EQ(r.call_delivered, Amount {1} << 40); ASSERT_TRUE(r.total_cost.has_value()); EXPECT_EQ(r.total_cost->hi, 64U); EXPECT_EQ(r.total_cost->lo, 0U); @@ -469,8 +469,8 @@ TEST(WeightBases, Explicit) { (Amounts {4, 8})); EXPECT_EQ(*make(g, {0}, {1}, cost_only(W, LOSSY))->place(12, kEdges).edge_flows, (Amounts {6, 6})); const auto ll = weighted(LOSSLESS, WeightBasis::Explicit, {1, 2}); - EXPECT_EQ(make(g, {0}, {1}, ll)->place(INF).placed, 15); - EXPECT_EQ(capacity(*g, v({0}), v({1}), query(ll)).placed, 15); + EXPECT_EQ(make(g, {0}, {1}, ll)->place(INF).call_delivered, 15); + EXPECT_EQ(evaluate_demand(*g, v({0}), v({1}), query(ll)).call_delivered, 15); } // Legal weights below 2^62 each may sum to 2^64 or more; the sum is exact. Eight @@ -489,11 +489,11 @@ TEST(WeightBases, WeightSumsBeyond64Bits) { for (const auto admission : {LOSSLESS, LOSSY}) { auto t = pinned(g, tunnels(*g, {0}, {1}, specs), admission); const auto r = t->replace(8, std::nullopt, kEdges); - EXPECT_EQ(r.placed, 8) << w; + EXPECT_EQ(r.call_delivered, 8) << w; EXPECT_EQ(*r.edge_flows, Amounts(8, 1)) << w; - EXPECT_TRUE(r.source_loss.is_zero()) << w; + EXPECT_TRUE(r.source_drops.is_zero()) << w; const auto x = make(g, {0}, {1}, weighted(admission, WeightBasis::Explicit, Amounts(8, w)))->replace(8, std::nullopt, kEdges); - EXPECT_EQ(x.placed, 8) << w; + EXPECT_EQ(x.call_delivered, 8) << w; EXPECT_EQ(*x.edge_flows, Amounts(8, 1)) << w; } } @@ -511,36 +511,35 @@ TEST(WeightBases, Snapshot) { const auto g = par2(10, 10); const Amounts base = {2, 10}; auto ledger = [&] { return std::make_shared(g, base); }; - EXPECT_EQ(make(g, {0}, {1}, cost_only(W), nullptr, ledger())->place(12).placed, 4); - EXPECT_EQ(make(g, {0}, {1}, weighted(LOSSLESS, WeightBasis::ResidualSnapshot), nullptr, ledger())->place(12).placed, + EXPECT_EQ(make(g, {0}, {1}, cost_only(W), nullptr, ledger())->place(12).call_delivered, 4); + EXPECT_EQ(make(g, {0}, {1}, weighted(LOSSLESS, WeightBasis::ResidualSnapshot), nullptr, ledger())->place(12).call_delivered, 12); } -// The priority no longer chooses weights (CAPACITY is the default). -TEST(WeightBases, PriorityIsNotAWeight) { +// The tie rule never chooses weights (CAPACITY is the default). +TEST(WeightBases, TieRuleIsNotAWeight) { const auto g = par2(10, 10); auto cfg = cost_only(W); - cfg.selection = PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Residual); auto p = make(g, {0}, {1}, cfg, nullptr, std::make_shared(g, Amounts {2, 10})); - EXPECT_EQ(p->place(12).placed, 4); - EXPECT_EQ(p->config().weights, WeightBasis::Capacity); + EXPECT_EQ(p->place(12).call_delivered, 4); + EXPECT_EQ(std::get(p->config().routing).weight_basis, WeightBasis::Capacity); } // A positive weight on an edge of capacity 0 becomes 0: all 7 on e1, no drop. TEST(WeightBases, ExplicitOnZeroCapacity) { const auto g = par2(0, 10); const auto r = make(g, {0}, {1}, weighted(LOSSY, WeightBasis::Explicit, {5, 1}))->place(7); - EXPECT_EQ(r.placed, 7); - EXPECT_TRUE(r.call_drops.empty()); + EXPECT_EQ(r.call_delivered, 7); + EXPECT_TRUE(r.call_edge_drops.empty()); } // A zero weight prunes its edge. TEST(WeightBases, ExplicitZeroPrunes) { const auto g = par2(10, 10); - EXPECT_EQ(make(g, {0}, {1}, weighted(LOSSLESS, WeightBasis::Explicit, {0, 3}))->place(12).placed, 10); + EXPECT_EQ(make(g, {0}, {1}, weighted(LOSSLESS, WeightBasis::Explicit, {0, 3}))->place(12).call_delivered, 10); const auto r = make(g, {0}, {1}, weighted(LOSSY, WeightBasis::Explicit, {0, 3}))->place(12); - EXPECT_EQ(r.placed, 10); - EXPECT_EQ(r.call_drops, (Drops {{1, 2}})); + EXPECT_EQ(r.call_delivered, 10); + EXPECT_EQ(r.call_edge_drops, (Drops {{1, 2}})); } // Every weight 0: NO_ACTIVE_WEIGHT; Lossy loses the offer at the source. @@ -549,18 +548,20 @@ TEST(WeightBases, AllZeroIsNoActiveWeight) { for (const auto& [adm, loss] : {std::pair {LOSSY, Amount {5}}, std::pair {LOSSLESS, Amount {0}}}) { const auto r = make(g, {0}, {1}, weighted(adm, WeightBasis::Explicit, {0, 0}))->place(5); EXPECT_EQ(r.termination, Termination::NoActiveWeight); - EXPECT_EQ(r.placed, 0); - EXPECT_EQ(r.source_loss, c(loss)); + EXPECT_EQ(r.call_delivered, 0); + EXPECT_EQ(r.source_drops, c(loss)); } } -// Weighted with the Headroom priority is accepted (CostOnly): the single path is e1. +// Weighted with HIGHER_HEADROOM is accepted (ShortestPaths): the single path is e1. TEST(WeightBases, WeightedWithHeadroom) { const auto g = par2(10, 10); - auto cfg = cost_only(W); - cfg.selection = PathSelection(EdgeTieBreak::PreferHigherPriority, EdgePriority::Headroom, false); + ShortestPaths headroom = shortest_paths(W); + headroom.tie_break = RouteTieBreak::HigherHeadroom; + headroom.multipath = false; + const FlowPolicyConfig cfg {.routing = headroom}; auto p = make(g, {0}, {1}, cfg, nullptr, std::make_shared(g, Amounts {2, 10})); - EXPECT_EQ(p->place(12).placed, 10); + EXPECT_EQ(p->place(12).call_delivered, 10); } // The snapshot is frozen for the epoch: call 2 splits 6 as H(6, (2, 10)) = (1, 5), both @@ -571,29 +572,26 @@ TEST(WeightBases, SnapshotFrozenForTheEpoch) { std::make_shared(g, Amounts {2, 10})); EXPECT_EQ(*p->place(12, kEdges).edge_flows, (Amounts {2, 10})); const auto r = p->place(6); - EXPECT_EQ(r.placed, 0); - EXPECT_EQ(r.call_drops, (Drops {{0, 1}, {1, 5}})); - EXPECT_EQ(r.call_source_loss, 0); + EXPECT_EQ(r.call_delivered, 0); + EXPECT_EQ(r.call_edge_drops, (Drops {{0, 1}, {1, 5}})); + EXPECT_EQ(r.call_source_drops, 0); } -// The texts of the weight fields (the bool entry is the binding's conversion). +// The texts of the weight fields (only ShortestPaths has them). TEST(WeightBases, MatrixTexts) { const auto g = par2(10, 10); FlowLedger fg(g); auto with = [](FlowPolicyConfig cfg, std::optional w, std::optional> ew) { - cfg.weights = w; - if (ew.has_value()) cfg.edge_weights = std::make_shared>(*ew); + auto& sp = std::get(cfg.routing); + sp.weight_basis = w; + if (ew.has_value()) sp.edge_weights = std::make_shared>(*ew); return cfg; }; - const auto prog = tunnels(*g, {0}, {1}, {{0, {0}, 1}}); const std::vector> cases = { - {with(cost_only(), WeightBasis::Capacity, std::nullopt), "weights require CostOnly placement=WEIGHTED"}, - {with(cost_only(), std::nullopt, Amounts {1, 1}), "edge_weights require weights=EXPLICIT"}, - {with(cost_only(W), WeightBasis::Explicit, std::nullopt), "weights=EXPLICIT requires edge_weights"}, - {with(cost_only(W), WeightBasis::Capacity, Amounts {1, 1}), "edge_weights require weights=EXPLICIT"}, - {with(global(), WeightBasis::Capacity, std::nullopt), "Global does not accept weights"}, - {with(pinned_config(prog), WeightBasis::Capacity, std::nullopt), "Pinned does not accept weights"}, - {with(capacity_aware(), WeightBasis::Capacity, std::nullopt), "T1 does not accept weights"}, + {with(cost_only(), WeightBasis::Capacity, std::nullopt), "weight_basis requires allocation=WEIGHTED"}, + {with(cost_only(), std::nullopt, Amounts {1, 1}), "edge_weights require weight_basis=EXPLICIT"}, + {with(cost_only(W), WeightBasis::Explicit, std::nullopt), "weight_basis=EXPLICIT requires edge_weights"}, + {with(cost_only(W), WeightBasis::Capacity, Amounts {1, 1}), "edge_weights require weight_basis=EXPLICIT"}, {with(cost_only(W), WeightBasis::Explicit, Amounts {1, 2, 3}), "edge_weights: expected 2 entries"}, {with(cost_only(W), WeightBasis::Explicit, Amounts {1, kL62}), "edge_weights[1] must be an integer in [0, 2^62)"}, {with(cost_only(W), WeightBasis::Explicit, Amounts {-1, 1}), "edge_weights[0] must be an integer in [0, 2^62)"}, @@ -613,13 +611,14 @@ TEST(WeightBases, SharedArray) { FlowLedger fg(g); FlowPolicy a(fg, v({0}), v({1}), cfg); FlowPolicy b(fg, v({0}), v({1}), cfg); - const auto* buffer = cfg.edge_weights.get(); - EXPECT_EQ(detail::PolicyAccess::engine(a).config.edge_weights.get(), buffer); - EXPECT_EQ(detail::PolicyAccess::engine(b).config.edge_weights.get(), buffer); - EXPECT_EQ(a.config().edge_weights.get(), buffer); + const auto weights_of = [](const FlowPolicyConfig& c) { return std::get(c.routing).edge_weights.get(); }; + const auto* buffer = weights_of(cfg); + EXPECT_EQ(weights_of(detail::PolicyAccess::engine(a).config), buffer); + EXPECT_EQ(weights_of(detail::PolicyAccess::engine(b).config), buffer); + EXPECT_EQ(weights_of(a.config()), buffer); // Control: an equal array built separately is another buffer. FlowPolicy c2(fg, v({0}), v({1}), weighted(LOSSLESS, WeightBasis::Explicit, {1, 2})); - EXPECT_NE(detail::PolicyAccess::engine(c2).config.edge_weights.get(), buffer); + EXPECT_NE(weights_of(detail::PolicyAccess::engine(c2).config), buffer); } // ---------------------------------------------------------------- from_routes @@ -628,43 +627,43 @@ TEST(WeightBases, SharedArray) { TEST(FromRoutes, Texts) { const auto g = par2(4, 8); const auto p0 = tunnel_route(*g, 0, {0}); - const Route d01 = dag_route(*g, 0, {0, 1}); - auto err = [&](const std::vector& s, const std::vector& d, const std::vector& routes, + const RouteDefinition d01 = dag_route(*g, 0, {0, 1}); + auto err = [&](const std::vector& s, const std::vector& d, const std::vector& routes, const RouteOptions& o = {}, const Graph* on = nullptr) { return error_of([&] { (void)ForwardingProgram::from_routes(on ? *on : *g, s, d, routes, o); }); }; EXPECT_EQ(err({}, {1}, {p0}), "sources: the node set is empty"); EXPECT_EQ(err({0}, {0}, {p0}), "node 0 is in both endpoint sets: sources and destinations must not overlap"); EXPECT_EQ(err({0}, {1}, {}), "routes must not be empty"); - EXPECT_EQ(err({0}, {1}, {p0}, RouteOptions {.placement = EB}), "placement applies only to PredDAG routes"); - EXPECT_EQ(err({0}, {1}, {p0}, RouteOptions {.weights = WeightBasis::Capacity}), - "weights applies only to PredDAG routes"); + EXPECT_EQ(err({0}, {1}, {p0}, RouteOptions {.allocation = EB}), "allocation applies only to PredecessorDAG routes"); + EXPECT_EQ(err({0}, {1}, {p0}, RouteOptions {.weight_basis = WeightBasis::Capacity}), + "weight_basis applies only to PredecessorDAG routes"); EXPECT_EQ(err({0}, {1}, {p0}, RouteOptions {.edge_weights = Amounts {1, 1}}), - "edge_weights applies only to PredDAG routes"); - EXPECT_EQ(err({0}, {1}, {p0}, RouteOptions {.residual = Amounts {1, 1}}), "residual applies only to PredDAG routes"); - EXPECT_EQ(err({0}, {1}, {d01}, RouteOptions {.placement = MF}), - "from_routes placement must be EQUAL_BALANCED or WEIGHTED"); - EXPECT_EQ(err({0}, {1}, {d01}, RouteOptions {.weights = WeightBasis::Capacity}), "weights require placement=WEIGHTED"); - EXPECT_EQ(err({0}, {1}, {d01}, RouteOptions {.placement = W, .weights = WeightBasis::Explicit}), - "weights=EXPLICIT requires edge_weights"); - EXPECT_EQ(err({0}, {1}, {d01}, RouteOptions {.placement = W, .edge_weights = Amounts {1, 1}}), - "edge_weights require weights=EXPLICIT"); - EXPECT_EQ(err({0}, {1}, {d01}, RouteOptions {.placement = W, .weights = WeightBasis::ResidualSnapshot}), - "weights=RESIDUAL_SNAPSHOT requires residual"); - EXPECT_EQ(err({0}, {1}, {d01}, RouteOptions {.placement = W, .residual = Amounts {4, 8}}), - "residual requires weights=RESIDUAL_SNAPSHOT"); - EXPECT_EQ(err({0}, {1}, {d01}, RouteOptions {.placement = W, .weights = WeightBasis::Explicit, .edge_weights = Amounts {1}}), + "edge_weights applies only to PredecessorDAG routes"); + EXPECT_EQ(err({0}, {1}, {p0}, RouteOptions {.residual = Amounts {1, 1}}), "residual applies only to PredecessorDAG routes"); + EXPECT_EQ(err({0}, {1}, {d01}, RouteOptions {.allocation = MF}), + "from_routes allocation must be EQUAL or WEIGHTED"); + EXPECT_EQ(err({0}, {1}, {d01}, RouteOptions {.weight_basis = WeightBasis::Capacity}), "weight_basis requires allocation=WEIGHTED"); + EXPECT_EQ(err({0}, {1}, {d01}, RouteOptions {.allocation = W, .weight_basis = WeightBasis::Explicit}), + "weight_basis=EXPLICIT requires edge_weights"); + EXPECT_EQ(err({0}, {1}, {d01}, RouteOptions {.allocation = W, .edge_weights = Amounts {1, 1}}), + "edge_weights require weight_basis=EXPLICIT"); + EXPECT_EQ(err({0}, {1}, {d01}, RouteOptions {.allocation = W, .weight_basis = WeightBasis::ResidualSnapshot}), + "weight_basis=RESIDUAL_SNAPSHOT requires residual"); + EXPECT_EQ(err({0}, {1}, {d01}, RouteOptions {.allocation = W, .residual = Amounts {4, 8}}), + "residual requires weight_basis=RESIDUAL_SNAPSHOT"); + EXPECT_EQ(err({0}, {1}, {d01}, RouteOptions {.allocation = W, .weight_basis = WeightBasis::Explicit, .edge_weights = Amounts {1}}), "edge_weights: expected 2 entries"); EXPECT_EQ(err({0}, {1}, {d01}, - RouteOptions {.placement = W, .weights = WeightBasis::Explicit, .edge_weights = Amounts {1, kL62}}), + RouteOptions {.allocation = W, .weight_basis = WeightBasis::Explicit, .edge_weights = Amounts {1, kL62}}), "edge_weights[1] must be an integer in [0, 2^62)"); EXPECT_EQ(err({0}, {1}, {d01}, - RouteOptions {.placement = W, .weights = WeightBasis::ResidualSnapshot, .residual = Amounts {5, 8}}), - "residual[0] = 5 is outside [0, capacity_units[0] = 4]"); + RouteOptions {.allocation = W, .weight_basis = WeightBasis::ResidualSnapshot, .residual = Amounts {5, 8}}), + "residual[0] = 5 is outside [0, edge_capacity_units[0] = 4]"); const auto other = par2(4, 8); - EXPECT_EQ(err({0}, {1}, {tunnel_route(*other, 0, {0})}), "routes[0]: bundle belongs to another graph"); + EXPECT_EQ(err({0}, {1}, {tunnel_route(*other, 0, {0})}), "routes[0]: route belongs to another graph"); EXPECT_EQ(err({0}, {1}, {tunnel_route(*g, 1, {0})}), "routes[0]: head 1 is not a source"); - const Route hop2 {0, std::make_shared(*g, std::vector> {{0, 1}}), 1}; + const RouteDefinition hop2 {0, std::make_shared(*g, std::vector> {{0, 1}}), 1}; EXPECT_EQ(err({0}, {1}, {hop2}), "routes[0]: a tunnel has one edge per hop"); const auto d = graph(4, kDiam); EXPECT_EQ(err({0, 1}, {3}, {tunnel_route(*d, 1, {0, 2})}, {}, d.get()), @@ -699,7 +698,7 @@ TEST(FromRoutes, ZeroWeightKept) { const auto g = par2(4, 8); const auto prog = program(*g, {0}, {1}, {tunnel_route(*g, 0, {0}, 0), tunnel_route(*g, 0, {1})}); std::vector> got; - for (const auto& t : prog->tunnels()) got.emplace_back(t.index, t.weight); + for (const auto& t : prog->tunnels()) got.emplace_back(t.entry_id, t.weight); EXPECT_EQ(got, (std::vector> {{0, 0}, {1, 1}})); EXPECT_EQ(error_of([&] { (void)program(*g, {0}, {1}, {tunnel_route(*g, 1, {0}, 0)}); }), "routes[0]: head 1 is not a source"); @@ -711,7 +710,7 @@ TEST(FromRoutes, MixedIndices) { const auto prog = program(*g, {0}, {1}, {tunnel_route(*g, 0, {1}), dag_route(*g, 0, {0, 1}), tunnel_route(*g, 0, {0})}); std::vector> got; - for (const auto& t : prog->tunnels()) got.emplace_back(t.index, t.local_index); + for (const auto& t : prog->tunnels()) got.emplace_back(t.entry_id, t.local_index); EXPECT_EQ(got, (std::vector> {{0, 0}, {2, 2}})); } @@ -725,31 +724,19 @@ TEST(FromRoutes, Endpoints) { // ---------------------------------------------------------------- Pinned's configuration -// The fields Pinned does not accept, in column order. -TEST(PinnedProgram, FieldTexts) { +// Pinned's row of the matrix: both admissions, no cache (its other options are its program's; the +// model has no field to put one in). +TEST(PinnedProgram, MatrixTexts) { const auto g = par2(4, 8); const auto prog = tunnels(*g, {0}, {1}, {{0, {0}, 1}}); FlowLedger fg(g); - auto base = [&] { return pinned_config(prog); }; - auto placement = base(); - placement.placement = EB; - auto origin = base(); - origin.origin = Origin::Equal; - auto selection = base(); - selection.selection = PathSelection(); - auto weights = base(); - weights.weights = WeightBasis::Capacity; - auto edge_weights = base(); - edge_weights.edge_weights = std::make_shared>(Amounts {1, 1}); - auto all = placement; - all.origin = Origin::Equal; - all.selection = PathSelection(); - const std::vector> cases = { - {placement, "Pinned does not accept placement"}, {origin, "Pinned does not accept origin"}, - {selection, "Pinned does not accept selection"}, {weights, "Pinned does not accept weights"}, - {edge_weights, "Pinned does not accept edge_weights"}, {all, "Pinned does not accept placement"}, - }; - for (const auto& [cfg, text] : cases) EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), cfg); }), text); + ShortestPathCache cache(*g); + for (const auto a : {LOSSLESS, LOSSY}) { + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), pinned_config(prog, a)); }), ""); + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), pinned_config(prog, a), nullptr, &cache); }), + "Pinned does not use ShortestPathCache"); + } + fg.reset(); } // The program's endpoints must be the policy's. @@ -769,11 +756,11 @@ TEST(PinnedProgram, Ownership) { const auto prog = tunnels(*g, {0}, {1}, {{0, {0}, 1}}); const auto foreign = tunnels(*other, {0}, {1}, {{0, {0}, 1}}); FlowLedger fg(g); - auto with_placement = pinned_config(foreign); - with_placement.placement = EB; + ShortestPathCache own_cache(*g); // a matrix defect after the ownership EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), pinned_config(foreign)); }), "program belongs to another graph"); - EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), with_placement); }), "program belongs to another graph"); + EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), pinned_config(foreign), nullptr, &own_cache); }), + "program belongs to another graph"); EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), pinned_config(prog, LOSSLESS, no_edges(*other, {0}))); }), @@ -781,9 +768,9 @@ TEST(PinnedProgram, Ownership) { const auto mask = other->eligibility({}, std::vector {0}); EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), pinned_config(prog), &mask); }), "foreign Eligibility: built for another graph"); - DagCache cache(*other); + ShortestPathCache cache(*other); EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), pinned_config(prog), nullptr, &cache); }), - "foreign DagCache: bound to another graph"); + "foreign ShortestPathCache: bound to another graph"); // The mask is checked before the program. EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), pinned_config(foreign), &mask); }), "foreign Eligibility: built for another graph"); @@ -802,10 +789,10 @@ TEST(PinnedProgram, Order) { TEST(PinnedProgram, SeveralEndpoints) { const auto g = graph(4, kRel); const auto prog = tunnels(*g, {0, 1}, {3}, {{0, {0, 2}, 1}, {1, {1, 2}, 1}}); - EXPECT_EQ(pinned(g, prog)->place(INF).placed, 10); + EXPECT_EQ(pinned(g, prog)->place(INF).call_delivered, 10); const auto two = graph(4, {{0, 2, 3, 1}, {1, 3, 4, 1}}); const auto many = tunnels(*two, {0, 1}, {2, 3}, {{0, {0}, 1}, {1, {1}, 1}}); - EXPECT_EQ(pinned(two, many)->place(INF).placed, 6); // RR(6, 2) = (3, 3) fits, RR(7, 2) = (4, 3) does not + EXPECT_EQ(pinned(two, many)->place(INF).call_delivered, 6); // RR(6, 2) = (3, 3) fits, RR(7, 2) = (4, 3) does not } // ---------------------------------------------------------------- lossless bounds @@ -813,7 +800,7 @@ TEST(PinnedProgram, SeveralEndpoints) { namespace { Amount bound(const std::shared_ptr& g, const std::vector& specs, const std::vector& s = {0}, const std::vector& d = {1}) { - return pinned(g, tunnels(*g, s, d, specs))->place(INF).placed; + return pinned(g, tunnels(*g, s, d, specs))->place(INF).call_delivered; } } // namespace @@ -841,7 +828,7 @@ TEST(PinnedProgram, ZeroWeight) { const auto g = par2(4, 8); auto p = pinned(g, tunnels(*g, {0}, {1}, {{0, {0}, 0}, {0, {1}, 1}})); const auto r = p->place(INF); - EXPECT_EQ(r.placed, 8); + EXPECT_EQ(r.call_delivered, 8); EXPECT_EQ(entries(*p.p), (std::vector> {0, 1})); EXPECT_EQ(delivered(*p.p), (Amounts {0, 8})); EXPECT_EQ(rows(r), (Rows {{0, 0, UP, 0, 0, 0}, {1, 0, UP, 8, 8, 0}})); @@ -856,15 +843,15 @@ TEST(PinnedProgram, Increments) { const auto g = graph(3, kInc); const auto prog = tunnels(*g, {0, 1}, {2}, {{0, {0}, 1}, {1, {1}, 1}}); auto p = pinned(g, prog); - EXPECT_EQ(p->place(3).placed, 2); - EXPECT_EQ(p->place(1).placed, 0); + EXPECT_EQ(p->place(3).call_delivered, 2); + EXPECT_EQ(p->place(1).call_delivered, 0); auto q = pinned(g, prog, LOSSY); const auto r1 = q->place(3); - EXPECT_EQ(r1.placed, 2); - EXPECT_EQ(r1.call_drops, (Drops {{0, 1}})); + EXPECT_EQ(r1.call_delivered, 2); + EXPECT_EQ(r1.call_edge_drops, (Drops {{0, 1}})); const auto r2 = q->place(1); // RR(4) - RR(3) = (0, 1) - EXPECT_EQ(r2.placed, 1); - EXPECT_TRUE(r2.call_drops.empty()); + EXPECT_EQ(r2.call_delivered, 1); + EXPECT_TRUE(r2.call_edge_drops.empty()); EXPECT_EQ(lo(r2.by_source[0].offered), 2); EXPECT_EQ(lo(r2.by_source[1].offered), 2); const auto one = graph(2, kOne); @@ -872,10 +859,10 @@ TEST(PinnedProgram, Increments) { auto other = make(one, {0}, {1}, cost_only(), nullptr, ledger); (void)other->place(8); auto t = pinned(one, tunnels(*one, {0}, {1}, {{0, {0}, 1}}), LOSSLESS, nullptr, nullptr, ledger); - EXPECT_EQ(t->place(5).placed, 2); + EXPECT_EQ(t->place(5).call_delivered, 2); other->remove(); (void)other->place(5); - EXPECT_EQ(t->place(1).placed, 1); + EXPECT_EQ(t->place(1).call_delivered, 1); } // +inf is the bound, EXHAUSTED; Lossy rejects it. @@ -883,9 +870,9 @@ TEST(PinnedProgram, Infinite) { const auto g = par2(6, 4); const auto prog = tunnels(*g, {0}, {1}, {{0, {0}, 1}, {0, {1}, 1}}); const auto r = pinned(g, prog)->place(INF); - EXPECT_EQ(r.placed, 9); + EXPECT_EQ(r.call_delivered, 9); EXPECT_EQ(r.termination, Termination::Exhausted); - EXPECT_FALSE(r.remaining.has_value()); + EXPECT_FALSE(r.call_undelivered.has_value()); EXPECT_FALSE(r.requested.has_value()); auto lossy = pinned(g, prog, LOSSY); EXPECT_EQ(error_of([&] { (void)lossy->place(INF); }), kFinite); @@ -896,7 +883,7 @@ TEST(PinnedProgram, MixedEntries) { const auto g = par2(4, 8); auto p = pinned(g, program(*g, {0}, {1}, {tunnel_route(*g, 0, {0}), dag_route(*g, 0, {1})})); const auto r = p->place(INF); - EXPECT_EQ(r.placed, 8); + EXPECT_EQ(r.call_delivered, 8); EXPECT_EQ(entries(*p.p), (std::vector> {0, 1})); EXPECT_EQ(delivered(*p.p), (Amounts {4, 4})); EXPECT_EQ(rows(r), (Rows {{0, 0, UP, 4, 4, 0}})); @@ -906,13 +893,13 @@ TEST(PinnedProgram, MixedEntries) { TEST(PinnedProgram, SplitContextsAreSeparate) { const auto g = par2(1, 1); const auto d = dag_of(*g, {0, 1}); - const auto prog = program(*g, {0}, {1}, {Route {0, d, 1}, Route {0, d, 1}}); - EXPECT_EQ(pinned(g, prog)->place(INF).placed, 1); + const auto prog = program(*g, {0}, {1}, {RouteDefinition {0, d, 1}, RouteDefinition {0, d, 1}}); + EXPECT_EQ(pinned(g, prog)->place(INF).call_delivered, 1); const auto r = pinned(g, prog, LOSSY)->replace(2, std::nullopt, kEdges); - EXPECT_EQ(r.call_drops, (Drops {{0, 1}})); + EXPECT_EQ(r.call_edge_drops, (Drops {{0, 1}})); EXPECT_EQ(*r.edge_flows, (Amounts {1, 0})); const auto pooled = make(g, {0}, {1}, cost_only())->place(INF, kEdges); - EXPECT_EQ(pooled.placed, 2); + EXPECT_EQ(pooled.call_delivered, 2); EXPECT_EQ(*pooled.edge_flows, (Amounts {1, 1})); } @@ -926,7 +913,7 @@ struct LossyRun { LossyRun lossy_rows(const std::shared_ptr& g, const std::vector& s, const std::vector& d, const std::vector& specs, Amount offer) { LossyRun out {pinned(g, tunnels(*g, s, d, specs), LOSSY)->replace(offer), {}}; - for (const auto& t : out.r.by_tunnel) out.got.emplace_back(lo(t.assigned), t.delivered, lo(t.dropped)); + for (const auto& t : out.r.by_tunnel) out.got.emplace_back(lo(t.assigned), t.delivered, lo(t.total_edge_drops)); return out; } using Triples = std::vector>; @@ -951,7 +938,7 @@ TEST(ProgramLossy, Merge) { EXPECT_EQ(hier.got, (Triples {{1, 1, 0}, {1, 0, 1}, {2, 0, 2}})); const auto zero = lossy_rows(graph(2, {{0, 1, 0, 1}}), {0}, {1}, {{0, {0}, 1}}, 2); EXPECT_EQ(zero.got, (Triples {{2, 0, 2}})); - EXPECT_EQ(zero.r.call_drops, (Drops {{0, 2}})); + EXPECT_EQ(zero.r.call_edge_drops, (Drops {{0, 2}})); const auto before = graph(6, {{0, 1, 1, 1}, {1, 2, 1, 1}, {1, 3, 1, 1}, {1, 4, 1, 1}, {2, 5, 1, 1}, {3, 5, 1, 1}, {4, 5, 1, 1}}); EXPECT_EQ(delivered_of(lossy_rows(before, {0}, {5}, {{0, {0, 1, 4}, 1}, {0, {0, 2, 5}, 1}, {0, {0, 3, 6}, 1}}, 3)), @@ -962,15 +949,15 @@ TEST(ProgramLossy, Merge) { (Amounts {1, 0, 0})); const auto pin = lossy_rows(graph(4, kPinloss), {0}, {3}, {{0, {0, 2}, 1}, {0, {1, 3}, 1}}, 12); EXPECT_EQ(pin.got, (Triples {{6, 2, 4}, {6, 6, 0}})); - EXPECT_EQ(pin.r.call_drops, (Drops {{2, 4}})); - EXPECT_EQ(pin.r.placed, 8); + EXPECT_EQ(pin.r.call_edge_drops, (Drops {{2, 4}})); + EXPECT_EQ(pin.r.call_delivered, 8); } // No link can drop (U0 = 2 on both barriers' candidates): no rounds. TEST(ProgramCycles, NoBarrierNoRounds) { const auto run = lossy_rows(cyc(2, 2), {4}, {5}, {{4, kCycT0, 1}, {4, kCycT1, 1}}, 2); EXPECT_EQ(delivered_of(run), (Amounts {1, 1})); - EXPECT_TRUE(run.r.call_drops.empty()); + EXPECT_TRUE(run.r.call_edge_drops.empty()); #if NETGRAPH_CORE_PRIVATE_HOOKS EXPECT_EQ(detail::thread_lossy_counters().groups, 0); EXPECT_EQ(detail::thread_lossy_counters().rounds, 0); @@ -981,7 +968,7 @@ TEST(ProgramCycles, NoBarrierNoRounds) { TEST(ProgramCycles, Converges) { const auto run = lossy_rows(cyc(1, 1), {4}, {5}, {{4, kCycT0, 1}, {4, kCycT1, 1}}, 2); EXPECT_EQ(run.got, (Triples {{1, 1, 0}, {1, 0, 1}})); - EXPECT_EQ(run.r.call_drops, (Drops {{3, 1}})); + EXPECT_EQ(run.r.call_edge_drops, (Drops {{3, 1}})); #if NETGRAPH_CORE_PRIVATE_HOOKS EXPECT_EQ(detail::thread_lossy_counters().groups, 1); EXPECT_EQ(detail::thread_lossy_counters().rounds, 3); @@ -1023,7 +1010,7 @@ TEST(ProgramCycles, RoundLimit) { TEST(ProgramCycles, SubdivisionInvariant) { const auto run = lossy_rows(cycs(1, 1, 1), {4}, {5}, {{4, kCycsT0, 1}, {4, kCycsT1, 1}}, 2); EXPECT_EQ(run.got, (Triples {{1, 1, 0}, {1, 0, 1}})); - EXPECT_EQ(run.r.call_drops, (Drops {{3, 1}})); + EXPECT_EQ(run.r.call_edge_drops, (Drops {{3, 1}})); const auto g = cycs(1, 2, 2); auto p = pinned(g, tunnels(*g, {4}, {5}, {{4, kCycsT0, 1}, {4, kCycsT1, 2}}), LOSSY); EXPECT_EQ(error_of([&] { (void)p->replace(3); }), kPeriodTwo); @@ -1049,7 +1036,7 @@ TEST(ProgramCycles, VerificationCatchesACorruptedResult) { expect_same(ledger_state(*p.ledger), ledger, "corrupted"); expect_unchanged(epoch(*p.p), before, "corrupted"); // Control: the same call without the corruption succeeds. - EXPECT_EQ(p->replace(2).placed, 1); + EXPECT_EQ(p->replace(2).call_delivered, 1); } #endif @@ -1065,15 +1052,15 @@ std::shared_ptr g1u_program(const std::shared_ptrreplace(12); - EXPECT_EQ(r.placed, 10); + EXPECT_EQ(r.call_delivered, 10); EXPECT_EQ(rows(r), (Rows {{0, 0, FAILED, 0, 0, 0}, {1, 0, UP, 12, 10, 2}})); - EXPECT_EQ(r.call_drops, (Drops {{1, 2}})); - EXPECT_EQ(pinned(g, prog, LOSSLESS, no_edges(*g, {2}))->place(INF).placed, 10); + EXPECT_EQ(r.call_edge_drops, (Drops {{1, 2}})); + EXPECT_EQ(pinned(g, prog, LOSSLESS, no_edges(*g, {2}))->place(INF).call_delivered, 10); } // The surviving sources' captured weights: H(16, (3, 1)) = (12, 4). @@ -1083,13 +1070,13 @@ TEST(Replay, SourceSurvivor) { const auto prog = solver->place(9).program; EXPECT_EQ(*prog->source_weights(), (std::vector> {{0, 3}, {1, 1}, {2, 5}})); const auto r = pinned(g, prog, LOSSY, no_nodes(*g, {2}))->replace(16); - EXPECT_EQ(r.placed, 4); + EXPECT_EQ(r.call_delivered, 4); EXPECT_EQ(lo(r.by_source[0].offered), 12); EXPECT_EQ(lo(r.by_source[1].offered), 4); EXPECT_EQ(lo(r.by_source[2].offered), 0); - EXPECT_EQ(r.call_drops, (Drops {{0, 9}, {1, 3}})); + EXPECT_EQ(r.call_edge_drops, (Drops {{0, 9}, {1, 3}})); EXPECT_EQ(std::get<2>(rows(r)[2]), FAILED); - EXPECT_EQ(pinned(g, prog, LOSSLESS, no_nodes(*g, {2}))->place(INF).placed, 4); + EXPECT_EQ(pinned(g, prog, LOSSLESS, no_nodes(*g, {2}))->place(INF).call_delivered, 4); } // The topology basis keeps head 1 (it still reaches 2 over e2) and it loses its share. @@ -1099,9 +1086,9 @@ TEST(Replay, TopologyBasisKeepsTheHead) { const auto prog = solver->place(10).program; EXPECT_EQ(listing(*prog), (Listing {{0, {0}, 5}, {1, {1}, 5}})); const auto r = pinned(g, prog, LOSSY, no_edges(*g, {1}))->replace(10); - EXPECT_EQ(r.placed, 5); - EXPECT_EQ(r.source_loss, c(5)); - EXPECT_EQ(pinned(g, prog, LOSSLESS, no_edges(*g, {1}))->place(INF).placed, 1); + EXPECT_EQ(r.call_delivered, 5); + EXPECT_EQ(r.source_drops, c(5)); + EXPECT_EQ(pinned(g, prog, LOSSLESS, no_edges(*g, {1}))->place(INF).call_delivered, 1); } // The supplied basis drops head 1: head 0 gets all 10. @@ -1109,10 +1096,10 @@ TEST(Replay, SuppliedBasisDropsTheHead) { const auto g = graph(3, kRB); const auto prog = tunnels(*g, {0, 1}, {2}, {{0, {0}, 1}, {1, {1}, 1}}); const auto r = pinned(g, prog, LOSSY, no_edges(*g, {1}))->replace(10); - EXPECT_EQ(r.placed, 5); - EXPECT_EQ(r.call_drops, (Drops {{0, 5}})); - EXPECT_EQ(r.source_loss, c(0)); - EXPECT_EQ(pinned(g, prog, LOSSLESS, no_edges(*g, {1}))->place(INF).placed, 5); + EXPECT_EQ(r.call_delivered, 5); + EXPECT_EQ(r.call_edge_drops, (Drops {{0, 5}})); + EXPECT_EQ(r.source_drops, c(0)); + EXPECT_EQ(pinned(g, prog, LOSSLESS, no_edges(*g, {1}))->place(INF).call_delivered, 5); } // A link of free capacity 0 is not a failure. @@ -1121,9 +1108,9 @@ TEST(Replay, ZeroCapacityIsNotFailed) { const auto prog = g1u_program(g); const auto r = pinned(g, prog, LOSSY, nullptr, nullptr, std::make_shared(g, Amounts {2, 0, 2, 10})) ->replace(12); - EXPECT_EQ(r.placed, 2); + EXPECT_EQ(r.call_delivered, 2); EXPECT_EQ(rows(r), (Rows {{0, 0, UP, 2, 2, 0}, {1, 0, UP, 10, 0, 10}})); - EXPECT_EQ(r.call_drops, (Drops {{1, 10}})); + EXPECT_EQ(r.call_edge_drops, (Drops {{1, 10}})); } // The remaining head's captured weight is 0: the whole offer is lost at the sources. @@ -1133,12 +1120,12 @@ TEST(Replay, AllRemainingWeightsZero) { const auto prog = solver->place(1).program; const auto r = pinned(g, prog, LOSSY, no_nodes(*g, {0}))->replace(4); EXPECT_EQ(r.termination, Termination::NoActiveWeight); - EXPECT_EQ(r.source_loss, c(4)); - EXPECT_EQ(r.placed, 0); + EXPECT_EQ(r.source_drops, c(4)); + EXPECT_EQ(r.call_delivered, 0); EXPECT_EQ(rows(r), (Rows {{0, 0, FAILED, 0, 0, 0}})); const auto ll = pinned(g, prog, LOSSLESS, no_nodes(*g, {0}))->replace(4); EXPECT_EQ(ll.termination, Termination::NoActiveWeight); - EXPECT_EQ(ll.placed, 0); + EXPECT_EQ(ll.call_delivered, 0); } // A stale remote tail repaired: the branch 0 -> 2 is pruned. @@ -1147,7 +1134,7 @@ TEST(Replay, SplitRoutePruned) { auto producer = make(g, {0}, {3}, cost_only(EB, LOSSY)); const auto prog = producer->place(1).program; const auto r = pinned(g, prog, LOSSY, no_edges(*g, {3}))->replace(100, std::nullopt, kEdges); - EXPECT_EQ(r.placed, 100); + EXPECT_EQ(r.call_delivered, 100); EXPECT_EQ(*r.edge_flows, (Amounts {100, 0, 100, 0})); } @@ -1157,8 +1144,8 @@ TEST(Replay, TunnelFailedByNode) { const auto prog = tunnels(*g, {0}, {3}, {{0, {0, 2}, 1}, {0, {1, 3}, 1}}); const auto r = pinned(g, prog, LOSSY, no_nodes(*g, {2}))->replace(10); EXPECT_EQ(rows(r), (Rows {{0, 0, UP, 10, 10, 0}, {1, 0, FAILED, 0, 0, 0}})); - EXPECT_EQ(r.placed, 10); - EXPECT_EQ(pinned(g, prog, LOSSLESS, no_nodes(*g, {2}))->place(INF).placed, 10); + EXPECT_EQ(r.call_delivered, 10); + EXPECT_EQ(pinned(g, prog, LOSSLESS, no_nodes(*g, {2}))->place(INF).call_delivered, 10); } // Weights frozen at preparation: a member pruned there stays pruned in every replay. @@ -1167,8 +1154,8 @@ TEST(Replay, FrozenWeights) { auto producer = make(z, {0}, {1}, cost_only(W, LOSSY)); const auto wp = producer->place(1).program; const auto r = pinned(z, wp, LOSSY)->replace(5); - EXPECT_EQ(r.placed, 5); - EXPECT_TRUE(r.call_drops.empty()); + EXPECT_EQ(r.call_delivered, 5); + EXPECT_TRUE(r.call_edge_drops.empty()); // A snapshot over the baseline (0, 10) prunes e0; the replay on a fresh ledger at full capacity // still sends everything to e1: 10 delivered, 5 dropped there. const auto g = par2(10, 10); @@ -1176,9 +1163,9 @@ TEST(Replay, FrozenWeights) { std::make_shared(g, Amounts {0, 10})); const auto sp = snap->place(1).program; const auto rr = pinned(g, sp, LOSSY)->replace(15, std::nullopt, kEdges); - EXPECT_EQ(rr.placed, 10); + EXPECT_EQ(rr.call_delivered, 10); EXPECT_EQ(*rr.edge_flows, (Amounts {0, 10})); - EXPECT_EQ(rr.call_drops, (Drops {{1, 5}})); + EXPECT_EQ(rr.call_edge_drops, (Drops {{1, 5}})); } // ---------------------------------------------------------------- stale forwarding @@ -1194,11 +1181,11 @@ TEST(StaleForwarding, RemoteTail) { const auto installed = p->program(); const auto bh = g->eligibility({}, std::vector {3}); const auto r = p->forward(100, &bh); - EXPECT_EQ(r.placed, 50); - EXPECT_EQ(r.call_drops, (Drops {{3, 50}})); + EXPECT_EQ(r.call_delivered, 50); + EXPECT_EQ(r.call_edge_drops, (Drops {{3, 50}})); EXPECT_EQ(p->program(), installed); EXPECT_FALSE(r.routes_changed || r.weights_changed); - EXPECT_EQ(p->replace(100).placed, 100); + EXPECT_EQ(p->replace(100).call_delivered, 100); } { const auto w = graph(2, {{0, 1, 10, 1}, {0, 1, 40, 1}}); @@ -1206,14 +1193,14 @@ TEST(StaleForwarding, RemoteTail) { (void)q->replace(40); const auto bh = w->eligibility({}, std::vector {0}); const auto r = q->forward(40, &bh); - EXPECT_EQ(r.placed, 32); - EXPECT_EQ(r.call_drops, (Drops {{0, 8}})); + EXPECT_EQ(r.call_delivered, 32); + EXPECT_EQ(r.call_edge_drops, (Drops {{0, 8}})); } { const auto wz = graph(2, {{0, 1, 0, 1}, {0, 1, 40, 1}}); auto q = make(wz, {0}, {1}, cost_only(W, LOSSY)); (void)q->replace(1); - EXPECT_EQ(q->forward(40).placed, 40); + EXPECT_EQ(q->forward(40).call_delivered, 40); } { const auto rel = graph(4, kRel); @@ -1227,27 +1214,27 @@ TEST(StaleForwarding, RemoteTail) { const auto tp = tunnels(*t, {0}, {3}, {{0, {0, 2}, 1}, {0, {1, 3}, 1}}); const auto r = pinned(t, tp, LOSSY, nullptr, no_nodes(*t, {2}))->replace(10); EXPECT_EQ(rows(r), (Rows {{0, 0, UP, 5, 5, 0}, {1, 0, BLACKHOLED, 5, 0, 5}})); - EXPECT_EQ(r.call_drops, (Drops {{1, 5}})); - EXPECT_EQ(pinned(t, tp, LOSSLESS, nullptr, no_nodes(*t, {2}))->replace(10).placed, 1); + EXPECT_EQ(r.call_edge_drops, (Drops {{1, 5}})); + EXPECT_EQ(pinned(t, tp, LOSSLESS, nullptr, no_nodes(*t, {2}))->replace(10).call_delivered, 1); } { const auto pool = graph(4, kPool2); auto p = make(pool, {0, 1}, {3}, cost_only(EB, LOSSY)); (void)p->replace(0); const auto r = p->forward(2, nullptr, kEdges); - EXPECT_EQ(r.placed, 2); + EXPECT_EQ(r.call_delivered, 2); EXPECT_EQ(*r.edge_flows, (Amounts {1, 1, 1, 1})); const auto bh = pool->eligibility({}, std::vector {0, 3}); const auto s8 = p->forward(2, &bh); - EXPECT_EQ(s8.placed, 1); - EXPECT_EQ(s8.call_drops, (Drops {{0, 1}})); + EXPECT_EQ(s8.call_delivered, 1); + EXPECT_EQ(s8.call_edge_drops, (Drops {{0, 1}})); } { const auto zero = graph(2, {{0, 1, 0, 1}}); auto q = make(zero, {0}, {1}, cost_only(W, LOSSY)); (void)q->replace(0); const auto r = q->forward(2); - EXPECT_EQ(r.source_loss, c(2)); + EXPECT_EQ(r.source_drops, c(2)); EXPECT_EQ(r.termination, Termination::NoActiveWeight); } { @@ -1256,12 +1243,12 @@ TEST(StaleForwarding, RemoteTail) { (void)q->replace(0); const auto bh = one->eligibility(std::vector {0}, {}); const auto r = q->forward(10, &bh); - EXPECT_EQ(r.source_loss, c(10)); - EXPECT_TRUE(r.call_drops.empty()); - EXPECT_EQ(r.placed, 0); + EXPECT_EQ(r.source_drops, c(10)); + EXPECT_TRUE(r.call_edge_drops.empty()); + EXPECT_EQ(r.call_delivered, 0); const auto s11 = pinned(one, tunnels(*one, {0}, {1}, {{0, {0}, 1}}), LOSSY, nullptr, no_nodes(*one, {0}))->replace(10); EXPECT_EQ(rows(s11), (Rows {{0, 0, BLACKHOLED, 0, 0, 0}})); - EXPECT_EQ(s11.source_loss, c(10)); + EXPECT_EQ(s11.source_drops, c(10)); } { // A masked and black-holed element is masked. @@ -1269,19 +1256,19 @@ TEST(StaleForwarding, RemoteTail) { const auto mp = tunnels(*m, {0}, {4}, {{0, {0, 3}, 1}, {0, {1, 4}, 1}, {0, {2, 5}, 1}}); const auto r = pinned(m, mp, LOSSY, no_edges(*m, {3}), no_edges(*m, {3, 4}))->replace(10); EXPECT_EQ(rows(r), (Rows {{0, 0, FAILED, 0, 0, 0}, {1, 0, BLACKHOLED, 5, 0, 5}, {2, 0, UP, 5, 5, 0}})); - EXPECT_EQ(r.call_drops, (Drops {{4, 5}})); + EXPECT_EQ(r.call_edge_drops, (Drops {{4, 5}})); } } -// The 8.5 call's Global program with e2 black-holed instead of masked. +// The masked-replay call's CentralizedTE program with e2 black-holed instead of masked. TEST(StaleForwarding, GlobalProgram) { const auto g = graph(4, kG1U); const auto prog = g1u_program(g); const auto r = pinned(g, prog, LOSSY, nullptr, no_edges(*g, {2}))->replace(12); EXPECT_EQ(rows(r), (Rows {{0, 0, BLACKHOLED, 2, 0, 2}, {1, 0, UP, 10, 10, 0}})); - EXPECT_EQ(r.call_drops, (Drops {{2, 2}})); + EXPECT_EQ(r.call_edge_drops, (Drops {{2, 2}})); // H(4, (2, 10)) = (0, 4) fits; H(5, (2, 10)) = (1, 4) sends a unit into the black hole. - EXPECT_EQ(pinned(g, prog, LOSSLESS, nullptr, no_edges(*g, {2}))->replace(12).placed, 4); + EXPECT_EQ(pinned(g, prog, LOSSLESS, nullptr, no_edges(*g, {2}))->replace(12).call_delivered, 4); } // An all-allowed Eligibility is no black hole. @@ -1292,30 +1279,30 @@ TEST(StaleForwarding, AllAllowedIsNone) { const auto with = pinned(g, prog, LOSSY, nullptr, allowed)->replace(12); const auto without = pinned(g, prog, LOSSY)->replace(12); EXPECT_EQ(rows(with), rows(without)); - EXPECT_EQ(with.placed, 12); - EXPECT_EQ(with.call_drops, without.call_drops); + EXPECT_EQ(with.call_delivered, 12); + EXPECT_EQ(with.call_edge_drops, without.call_edge_drops); // A forward with an all-allowed value equals a forward without. auto p = make(g, {0}, {3}, cost_only(EB, LOSSY)); (void)p->replace(12); const auto all = g->eligibility(); - EXPECT_EQ(p->forward(12, &all).placed, p->forward(12).placed); + EXPECT_EQ(p->forward(12, &all).call_delivered, p->forward(12).call_delivered); } -// Place, evaluate, replace, capacity and sensitivity all see a Pinned policy's black holes +// Place, evaluate, replace, evaluate_demand and evaluate_edge_failures all see a Pinned policy's black holes // (TUN, node 2 black-holed). TEST(StaleForwarding, EveryOperation) { const auto t = graph(4, kTun); const auto tp = tunnels(*t, {0}, {3}, {{0, {0, 2}, 1}, {0, {1, 3}, 1}}); const auto bh = no_nodes(*t, {2}); - EXPECT_EQ(pinned(t, tp, LOSSY, nullptr, bh)->place(10).placed, 5); - EXPECT_EQ(pinned(t, tp, LOSSY, nullptr, bh)->evaluate(10).placed, 5); - EXPECT_EQ(pinned(t, tp, LOSSY, nullptr, bh)->replace(10).placed, 5); - EXPECT_EQ(capacity(*t, v({0}), v({3}), query(pinned_config(tp, LOSSY, bh), offer(10))).placed, 5); - EXPECT_EQ(capacity(*t, v({0}), v({3}), query(pinned_config(tp, LOSSLESS, bh))).placed, 1); - EXPECT_EQ(sensitivity(*t, v({0}), v({3}), query(pinned_config(tp, LOSSY, bh), offer(10)), 1).baseline.placed, 5); + EXPECT_EQ(pinned(t, tp, LOSSY, nullptr, bh)->place(10).call_delivered, 5); + EXPECT_EQ(pinned(t, tp, LOSSY, nullptr, bh)->evaluate(10).call_delivered, 5); + EXPECT_EQ(pinned(t, tp, LOSSY, nullptr, bh)->replace(10).call_delivered, 5); + EXPECT_EQ(evaluate_demand(*t, v({0}), v({3}), query(pinned_config(tp, LOSSY, bh), offer(10))).call_delivered, 5); + EXPECT_EQ(evaluate_demand(*t, v({0}), v({3}), query(pinned_config(tp, LOSSLESS, bh))).call_delivered, 1); + EXPECT_EQ(evaluate_edge_failures(*t, v({0}), v({3}), query(pinned_config(tp, LOSSY, bh), offer(10)), 1).baseline.call_delivered, 5); // Controls without the black holes. - EXPECT_EQ(pinned(t, tp, LOSSY)->replace(10).placed, 10); - EXPECT_EQ(capacity(*t, v({0}), v({3}), query(pinned_config(tp))).placed, 20); + EXPECT_EQ(pinned(t, tp, LOSSY)->replace(10).call_delivered, 10); + EXPECT_EQ(evaluate_demand(*t, v({0}), v({3}), query(pinned_config(tp))).call_delivered, 20); } // ---------------------------------------------------------------- operations @@ -1328,7 +1315,7 @@ TEST(Operations, EvaluatePublishesNothing) { const auto ledger = ledger_state(*p.ledger); const auto before = epoch(*p.p); const auto r = p->evaluate(12); - EXPECT_EQ(r.placed, 12); + EXPECT_EQ(r.call_delivered, 12); EXPECT_EQ(r.delivery_delta, 6); EXPECT_NE(r.program, nullptr); expect_same(ledger_state(*p.ledger), ledger, "evaluate"); @@ -1355,16 +1342,16 @@ TEST(Operations, ForwardKeepsTheProgram) { const auto g = par2(10, 10); auto ledger = std::make_shared(g, Amounts {2, 10}); auto a = make(g, {0}, {1}, weighted(LOSSLESS, WeightBasis::ResidualSnapshot), nullptr, ledger); - EXPECT_EQ(a->replace(6).placed, 6); + EXPECT_EQ(a->replace(6).call_delivered, 6); auto b = pinned(g, tunnels(*g, {0}, {1}, {{0, {1}, 1}}), LOSSLESS, nullptr, nullptr, ledger); - EXPECT_EQ(b->place(5).placed, 5); + EXPECT_EQ(b->place(5).call_delivered, 5); const auto installed = a->program(); const auto f = a->forward(12); - EXPECT_EQ(f.placed, 6); + EXPECT_EQ(f.call_delivered, 6); EXPECT_FALSE(f.routes_changed || f.weights_changed); EXPECT_EQ(a->program(), installed); const auto r = a->replace(12); - EXPECT_EQ(r.placed, 7); + EXPECT_EQ(r.call_delivered, 7); EXPECT_FALSE(r.routes_changed); EXPECT_TRUE(r.weights_changed); } @@ -1376,10 +1363,10 @@ TEST(Operations, IdenticalReplace) { const auto r1 = a->replace(12); const auto ids1 = ids(*a.p); const auto r2 = a->replace(12); - EXPECT_EQ(r2.placed, r1.placed); + EXPECT_EQ(r2.call_delivered, r1.call_delivered); EXPECT_FALSE(r2.routes_changed || r2.weights_changed); EXPECT_NE(ids(*a.p), ids1); - EXPECT_EQ(delivered(*a.p), (Amounts {r1.placed})); + EXPECT_EQ(delivered(*a.p), (Amounts {r1.call_delivered})); } // The forward texts. @@ -1424,8 +1411,8 @@ TEST(Operations, ForwardOrder) { // Lossless replace(+inf): the bound, EXHAUSTED. TEST(Operations, LosslessInfinite) { const auto r = make(par2(10, 10), {0}, {1}, cost_only())->replace(INF); - EXPECT_EQ(r.placed, 20); - EXPECT_FALSE(r.remaining.has_value()); + EXPECT_EQ(r.call_delivered, 20); + EXPECT_FALSE(r.call_undelivered.has_value()); EXPECT_EQ(r.termination, Termination::Exhausted); } @@ -1446,7 +1433,7 @@ TEST(Operations, DeliveryDeltaNegative) { auto p = make(par2(10, 10), {0}, {1}, cost_only()); (void)p->replace(10); const auto r = p->replace(4); - EXPECT_EQ(r.placed, 4); + EXPECT_EQ(r.call_delivered, 4); EXPECT_EQ(r.delivery_delta, -6); } @@ -1457,14 +1444,14 @@ TEST(Operations, PlaceContinuesTheEpoch) { (void)p->replace(6); const auto before = ids(*p.p); const auto r = p->place(3); - EXPECT_EQ(r.placed, 3); + EXPECT_EQ(r.call_delivered, 3); EXPECT_EQ(r.requested, c(9)); EXPECT_EQ(r.admitted, c(9)); EXPECT_EQ(ids(*p.p), before); auto q = make(g, {0}, {1}, cost_only(EB, LOSSY)); (void)q->replace(6); const auto lr = q->place(3); - EXPECT_EQ(lr.placed, 3); + EXPECT_EQ(lr.call_delivered, 3); EXPECT_EQ(lr.offered, c(9)); EXPECT_EQ(lr.requested, c(9)); } @@ -1517,9 +1504,9 @@ TEST(Operations, ForwardControllerProgram) { const auto g = graph(4, kG1U); auto p = make(g, {0}, {3}, global()); (void)p->replace(12); - EXPECT_EQ(p->forward(12).placed, 12); + EXPECT_EQ(p->forward(12).call_delivered, 12); const auto r = p->forward(20); - EXPECT_EQ(r.placed, 12); + EXPECT_EQ(r.call_delivered, 12); EXPECT_EQ(r.termination, Termination::Exhausted); } @@ -1533,13 +1520,13 @@ TEST(Operations, RemoveClearsTheProgram) { EXPECT_EQ(p->program(), nullptr); const auto z = p->place(0); EXPECT_EQ(z.program, nullptr); - EXPECT_EQ(z.placed, 0); + EXPECT_EQ(z.call_delivered, 0); EXPECT_EQ(z.delivered, 0); EXPECT_TRUE(z.by_tunnel.empty()); } } -// CostOnly's first positive call sets both flags; the next none. +// ShortestPaths's first positive call sets both flags; the next none. TEST(Operations, FirstProgramFlags) { auto q = make(graph(4, kPool2), {0, 1}, {3}, cost_only()); const auto r = q->place(2); @@ -1556,7 +1543,7 @@ TEST(Operations, EvaluateOutputs) { EXPECT_EQ(*r.edge_flows, (Amounts {2, 10, 10})); EXPECT_EQ(*r.residual, (Amounts {0, 0, 0})); EXPECT_EQ(*r.min_cut, (std::vector {0, 1})); - EXPECT_EQ(gl->placed_demand(), 2); + EXPECT_EQ(gl->delivered(), 2); EXPECT_EQ(gl.ledger->residual(), (Amounts {0, 10, 10})); } @@ -1575,7 +1562,7 @@ TEST(Operations, RejectedCallsChangeNothing) { {"evaluate", [&] { (void)p->evaluate(INF); }}, {"replace", [&] { (void)p->replace(-1); }}, {"forward", [&] { (void)p->forward(1, &foreign); }}, - {"capacity", [&] { (void)capacity(*g, v({0}), v({1}), query(cost_only(EB, LOSSY), offer(5))); }}, + {"capacity", [&] { (void)evaluate_demand(*g, v({0}), v({1}), query(cost_only(EB, LOSSY), offer(-5))); }}, }; for (const auto& [name, call] : calls) { EXPECT_NE(error_of(call), "") << name; @@ -1598,7 +1585,7 @@ TEST(Operations, RejectedCallsChangeNothing) { // ---------------------------------------------------------------- records -// CostOnly and Global records have no entry; a Pinned record carries its entry identifier. +// ShortestPaths and CentralizedTE records have no entry; a Pinned record carries its entry identifier. TEST(ProgramRecords, Fields) { const auto g = graph(4, kB1); for (const auto& cfg : {global(), cost_only()}) { @@ -1626,7 +1613,7 @@ TEST(ProgramRecords, PerEntry) { ASSERT_EQ(recs.size(), 3U); EXPECT_EQ(entries(*p.p), (std::vector> {0, 1, 2})); EXPECT_EQ(delivered(*p.p), (Amounts {4, 4, 4})); - EXPECT_EQ(ascending_edges(*recs[1].bundle), ascending_edges(*recs[2].bundle)); + EXPECT_EQ(ascending_edges(*recs[1].route), ascending_edges(*recs[2].route)); EXPECT_NE(recs[1].flow_id, recs[2].flow_id); EXPECT_EQ(rows(r), (Rows {{0, 0, UP, 4, 4, 0}, {1, 0, UP, 4, 4, 0}, {2, 0, UP, 4, 4, 0}})); auto z = pinned(g, tunnels(*g, {0}, {1}, {{0, {0}, 0}, {0, {1}, 1}})); @@ -1634,11 +1621,11 @@ TEST(ProgramRecords, PerEntry) { const auto zr = z->records(); ASSERT_EQ(zr.size(), 2U); EXPECT_EQ(zr[0].delivered, 0); - EXPECT_TRUE(zr[0].edges.empty()); - EXPECT_EQ(ascending_edges(*zr[0].bundle), (std::vector {0})); + EXPECT_TRUE(zr[0].edge_flows.empty()); + EXPECT_EQ(ascending_edges(*zr[0].route), (std::vector {0})); } -// A FAILED tunnel's record: an empty bundle, route_cost UNREACHABLE. +// A FAILED tunnel's record: an empty route, min_route_cost UNREACHABLE. TEST(ProgramRecords, FailedEntry) { const auto g = graph(4, kG1U); const auto prog = g1u_program(g); @@ -1646,13 +1633,14 @@ TEST(ProgramRecords, FailedEntry) { (void)p->replace(12); const auto recs = p->records(); ASSERT_EQ(recs.size(), 2U); - EXPECT_TRUE(ascending_edges(*recs[0].bundle).empty()); - EXPECT_EQ(recs[0].route_cost, kUnreachable); - EXPECT_EQ(ascending_edges(*recs[1].bundle), (std::vector {1, 3})); - EXPECT_EQ(recs[1].route_cost, 2); + EXPECT_TRUE(ascending_edges(*recs[0].route).empty()); + EXPECT_EQ(recs[0].min_route_cost, kUnreachable); + EXPECT_EQ(ascending_edges(*recs[1].route), (std::vector {1, 3})); + EXPECT_EQ(recs[1].min_route_cost, 2); } -// A CostOnly program in Pinned keeps the attribution of 5.1. +// A ShortestPaths program in Pinned keeps the pooled attribution (each source's share of a shared +// router's traffic by highest averages). TEST(ProgramRecords, PooledContext) { const auto g = graph(4, kPool2); auto producer = make(g, {0, 1}, {3}, cost_only(EB, LOSSY)); @@ -1660,7 +1648,7 @@ TEST(ProgramRecords, PooledContext) { auto p = pinned(g, prog, LOSSY); (void)p->replace(2); std::vector, Drops>> got; - for (const auto& r : p->records()) got.emplace_back(r.entry, r.edges); + for (const auto& r : p->records()) got.emplace_back(r.entry_id, r.edge_flows); EXPECT_EQ(got, (std::vector, Drops>> {{0, {{0, 1}, {2, 1}}}, {1, {{1, 1}, {3, 1}}}})); } @@ -1708,21 +1696,21 @@ TEST(WideCounters, TunnelRowsBeyond64Bits) { const Counter128 total {1, 4611686018427387899ULL}; ASSERT_EQ(r.by_tunnel.size(), 1U); EXPECT_EQ(r.by_tunnel[0].assigned, total); - EXPECT_EQ(r.by_tunnel[0].dropped, total); + EXPECT_EQ(r.by_tunnel[0].total_edge_drops, total); EXPECT_EQ(r.by_tunnel[0].delivered, 0); EXPECT_EQ(r.offered, total); EXPECT_EQ(r.requested, total); EXPECT_EQ(r.admitted, total); - EXPECT_EQ(r.drops, (std::vector> {{0, total}})); - EXPECT_TRUE(r.source_loss.is_zero()); + EXPECT_EQ(r.edge_drops, (std::vector> {{0, total}})); + EXPECT_TRUE(r.source_drops.is_zero()); ASSERT_EQ(r.by_source.size(), 1U); EXPECT_EQ(r.by_source[0].offered, total); EXPECT_EQ(r.by_source[0].admitted, total); - EXPECT_EQ(r.by_source[0].dropped, total); - EXPECT_TRUE(r.by_source[0].source_loss.is_zero()); + EXPECT_EQ(r.by_source[0].total_edge_drops, total); + EXPECT_TRUE(r.by_source[0].source_drops.is_zero()); const auto rec = p->records().front(); EXPECT_EQ(rec.offered, total); - EXPECT_EQ(rec.drops, (std::vector> {{0, total}})); + EXPECT_EQ(rec.edge_drops, (std::vector> {{0, total}})); // The carry: four calls stay below 2^64. auto q = pinned(g, tunnels(*g, {0}, {1}, {{0, {0}, 1}}), LOSSY); PlacementResult four; @@ -1736,8 +1724,8 @@ TEST(WideCounters, TunnelRowsBeyond64Bits) { TEST(QueryOptionsEval, PinnedLossless) { const auto g = par2(6, 4); const auto prog = tunnels(*g, {0}, {1}, {{0, {0}, 1}, {0, {1}, 1}}); - const auto r = capacity(*g, v({0}), v({1}), query(pinned_config(prog))); - EXPECT_EQ(r.placed, 9); + const auto r = evaluate_demand(*g, v({0}), v({1}), query(pinned_config(prog))); + EXPECT_EQ(r.call_delivered, 9); EXPECT_EQ(r.termination, Termination::Exhausted); } @@ -1745,100 +1733,102 @@ TEST(QueryOptionsEval, PinnedLossless) { TEST(QueryOptionsEval, PinnedLossy) { const auto pl = graph(4, kPinloss); const auto prog = tunnels(*pl, {0}, {3}, {{0, {0, 2}, 1}, {0, {1, 3}, 1}}); - EXPECT_EQ(capacity(*pl, v({0}), v({3}), query(pinned_config(prog, LOSSY), offer(12))).placed, 8); + EXPECT_EQ(evaluate_demand(*pl, v({0}), v({3}), query(pinned_config(prog, LOSSY), offer(12))).call_delivered, 8); } -// The offered rules and batch_capacity's Pinned text. +// The offered rules and evaluate_pairs's Pinned text. TEST(QueryOptionsEval, Texts) { const auto g = par2(6, 4); const auto prog = tunnels(*g, {0}, {1}, {{0, {0}, 1}, {0, {1}, 1}}); - auto err = [&](const QueryOptions& q) { return error_of([&] { (void)capacity(*g, v({0}), v({1}), q); }); }; - EXPECT_EQ(err(query(pinned_config(prog, LOSSY))), "Pinned LOSSY capacity requires finite offered"); - EXPECT_EQ(err(query(pinned_config(prog, LOSSY), offer_inf())), "Pinned LOSSY capacity requires finite offered"); - EXPECT_EQ(err(query(cost_only(EB, LOSSY), offer(5))), "CostOnly LOSSY capacity uses first-hop injection"); - EXPECT_EQ(err(query(cost_only(), offer(5))), "CostOnly LOSSLESS capacity does not accept offered"); - EXPECT_EQ(err(query(global(), offer(5))), "Global LOSSLESS capacity does not accept offered"); - EXPECT_EQ(err(query(pinned_config(prog), offer(5))), "Pinned LOSSLESS capacity does not accept offered"); + auto err = [&](const EvaluationOptions& q) { return error_of([&] { (void)evaluate_demand(*g, v({0}), v({1}), q); }); }; + auto delivered = [&](const EvaluationOptions& q) { return evaluate_demand(*g, v({0}), v({1}), q).call_delivered; }; + const std::string domain = "offer must be an integer in [0, 2^62)"; + EXPECT_EQ(err(query(pinned_config(prog, LOSSY))), "Pinned LOSSY evaluation requires a finite offer"); + EXPECT_EQ(err(query(pinned_config(prog, LOSSY), offer_inf())), domain); + EXPECT_EQ(err(query(cost_only(), offer_inf())), domain); + // A finite offer for every model under each admission it supports. + EXPECT_EQ(delivered(query(cost_only(EB, LOSSY), offer(5))), 5); + EXPECT_EQ(delivered(query(cost_only(), offer(5))), 5); + EXPECT_EQ(delivered(query(global(), offer(5))), 5); + EXPECT_EQ(delivered(query(pinned_config(prog), offer(5))), 5); auto designed = query(capacity_aware(), offer(5)); designed.design_demand = Amount {4}; - EXPECT_EQ(err(designed), "T1 LOSSLESS capacity does not accept offered"); - EXPECT_EQ(err(query(cost_only(), offer_inf())), "CostOnly LOSSLESS capacity does not accept offered"); + EXPECT_EQ(err(designed), ""); for (const Amount bad : {Amount {-1}, kL62}) { - EXPECT_EQ(err(query(pinned_config(prog, LOSSY), offer(bad))), - "offered must be an integer in [0, 2^62) or permitted +inf"); + EXPECT_EQ(err(query(pinned_config(prog, LOSSY), offer(bad))), domain); } EXPECT_EQ(err(query(pinned_config(prog, LOSSY), offer(kL62 - 1))), ""); const std::vector, std::vector>> pairs = {{{0}, {1}}}; - EXPECT_EQ(error_of([&] { (void)batch_capacity(*g, pairs, query(pinned_config(prog)), {}, 1); }), - "batch_capacity does not accept Pinned"); + EXPECT_EQ(error_of([&] { (void)evaluate_pairs(*g, pairs, query(pinned_config(prog)), {}, 1); }), + "evaluate_pairs does not accept Pinned"); } // A deletion fails the tunnels through it and the head splits over the others. TEST(QueryOptionsEval, PinnedSensitivity) { const auto pl = graph(4, kPinloss); const auto prog = tunnels(*pl, {0}, {3}, {{0, {0, 2}, 1}, {0, {1, 3}, 1}}); - const auto s = sensitivity(*pl, v({0}), v({3}), query(pinned_config(prog)), 1); - EXPECT_EQ(s.baseline.placed, 4); + const auto s = evaluate_edge_failures(*pl, v({0}), v({3}), query(pinned_config(prog)), 1); + EXPECT_EQ(s.baseline.call_delivered, 4); EXPECT_EQ(losses(s), (std::vector> {{0, -6}, {1, 2}, {2, -6}, {3, 2}})); - const auto l = sensitivity(*pl, v({0}), v({3}), query(pinned_config(prog, LOSSY), offer(12)), 1); - EXPECT_EQ(l.baseline.placed, 8); + const auto l = evaluate_edge_failures(*pl, v({0}), v({3}), query(pinned_config(prog, LOSSY), offer(12)), 1); + EXPECT_EQ(l.baseline.call_delivered, 8); EXPECT_EQ(losses(l), (std::vector> {{0, -2}, {1, 6}, {2, -2}, {3, 6}})); - const auto w2 = sensitivity(*pl, v({0}), v({3}), query(pinned_config(prog, LOSSY), offer(12)), 2); + const auto w2 = evaluate_edge_failures(*pl, v({0}), v({3}), query(pinned_config(prog, LOSSY), offer(12)), 2); EXPECT_EQ(losses(w2), losses(l)); - EXPECT_EQ(w2.baseline.placed, 8); + EXPECT_EQ(w2.baseline.call_delivered, 8); } // ---------------------------------------------------------------- the earlier Pinned uses mapped // Each former Pinned use and its program form. TEST(PinnedMapping, SingleBundle) { - // One EB bundle (DIAM, the four links). + // One EB route DAG (DIAM, the four links). const auto d = graph(4, kDiam); const auto all = dag_of(*d, {0, 1, 2, 3}); - const auto eb = program(*d, {0}, {3}, {Route {0, all, 1}}); - EXPECT_EQ(pinned(d, eb)->place(INF).placed, 200); - EXPECT_EQ(pinned(d, eb, LOSSY)->place(100).placed, 100); + const auto eb = program(*d, {0}, {3}, {RouteDefinition {0, all, 1}}); + EXPECT_EQ(pinned(d, eb)->place(INF).call_delivered, 200); + EXPECT_EQ(pinned(d, eb, LOSSY)->place(100).call_delivered, 100); // W with capacity weights; with residual weights (the ledger's residual at creation): // H over (100, 50) at node 0: H(150) = (100, 50) fits, H(151) = (101, 50) does not. - const auto wc = program(*d, {0}, {3}, {Route {0, all, 1}}, RouteOptions {.placement = W}); - EXPECT_EQ(pinned(d, wc)->place(INF).placed, 200); - const auto ws = program(*d, {0}, {3}, {Route {0, all, 1}}, - RouteOptions {.placement = W, .weights = WeightBasis::ResidualSnapshot, + const auto wc = program(*d, {0}, {3}, {RouteDefinition {0, all, 1}}, RouteOptions {.allocation = W}); + EXPECT_EQ(pinned(d, wc)->place(INF).call_delivered, 200); + const auto ws = program(*d, {0}, {3}, {RouteDefinition {0, all, 1}}, + RouteOptions {.allocation = W, .weight_basis = WeightBasis::ResidualSnapshot, .residual = Amounts {100, 50, 100, 50}}); - EXPECT_EQ(pinned(d, ws)->place(INF).placed, 150); - // Two bundles on PAR2(6, 4): separate contexts, RR over the entries: 9; W the same 9; - // MaxFlow becomes Global(support) and fills both: 10. + EXPECT_EQ(pinned(d, ws)->place(INF).call_delivered, 150); + // Two route DAGs on PAR2(6, 4): separate contexts, RR over the entries: 9; W the same 9; + // Optimized becomes CentralizedTE(support) and fills both: 10. const auto p = par2(6, 4); const auto two = program(*p, {0}, {1}, {dag_route(*p, 0, {0}), dag_route(*p, 0, {1})}); - EXPECT_EQ(pinned(p, two)->place(INF).placed, 9); + EXPECT_EQ(pinned(p, two)->place(INF).call_delivered, 9); const auto two_w = - program(*p, {0}, {1}, {dag_route(*p, 0, {0}), dag_route(*p, 0, {1})}, RouteOptions {.placement = W}); - EXPECT_EQ(pinned(p, two_w)->place(INF).placed, 9); - EXPECT_EQ(make(p, {0}, {1}, global(std::nullopt, dag_of(*p, {0, 1})))->place(INF).placed, 10); - // Two bundles sharing e0 on SHARE, EB Lossy place(10): both arrive at e0 with 5: + program(*p, {0}, {1}, {dag_route(*p, 0, {0}), dag_route(*p, 0, {1})}, RouteOptions {.allocation = W}); + EXPECT_EQ(pinned(p, two_w)->place(INF).call_delivered, 9); + EXPECT_EQ(make(p, {0}, {1}, global(std::nullopt, dag_of(*p, {0, 1})))->place(INF).call_delivered, 10); + // Two route DAGs sharing e0 on SHARE, EB Lossy place(10): both arrive at e0 with 5: // H(4, (5, 5)) = (2, 2). const auto sh = graph(3, kShare); auto shared_e0 = pinned(sh, program(*sh, {0}, {2}, {dag_route(*sh, 0, {0, 1}), dag_route(*sh, 0, {0, 2})}), LOSSY); const auto r5 = shared_e0->place(10); - EXPECT_EQ(r5.placed, 4); + EXPECT_EQ(r5.call_delivered, 4); EXPECT_EQ(delivered(*shared_e0.p), (Amounts {2, 2})); - // MaxFlow over one bundle is Global(support): 12, cost 34, one record per source with the + // Optimized over one route DAG is CentralizedTE(support): 12, cost 34, one record per source with the // used edges, no entry. const auto es = graph(4, kES); auto m6 = make(es, {0}, {3}, global(std::nullopt, dag_of(*es, {0, 1, 2, 3}))); const auto r6 = m6->place(INF); - EXPECT_EQ(r6.placed, 12); + EXPECT_EQ(r6.call_delivered, 12); EXPECT_EQ(r6.total_cost, c(34)); const auto recs = m6->records(); ASSERT_EQ(recs.size(), 1U); - EXPECT_FALSE(recs[0].entry.has_value()); - EXPECT_EQ(ascending_edges(*recs[0].bundle), (std::vector {0, 1, 2, 3})); + EXPECT_FALSE(recs[0].entry_id.has_value()); + EXPECT_EQ(ascending_edges(*recs[0].route), (std::vector {0, 1, 2, 3})); // Lossy +inf is rejected. auto m7 = pinned(d, eb, LOSSY); EXPECT_EQ(error_of([&] { (void)m7->place(INF); }), kFinite); // Two sources are accepted; duplicates are distinct entries. const auto rel = graph(4, kRel); - EXPECT_EQ(pinned(rel, tunnels(*rel, {0, 1}, {3}, {{0, {0, 2}, 1}, {1, {1, 2}, 1}}))->place(INF).placed, 10); + EXPECT_EQ(pinned(rel, tunnels(*rel, {0, 1}, {3}, {{0, {0, 2}, 1}, {1, {1, 2}, 1}}))->place(INF).call_delivered, 10); const auto par = par2(4, 8); EXPECT_EQ(bound(par, {{0, {0}, 1}, {0, {1}, 1}, {0, {1}, 1}}), 12); // An empty route list. @@ -1847,7 +1837,7 @@ TEST(PinnedMapping, SingleBundle) { // ---------------------------------------------------------------- storage of the new layouts -// A plan's replay under a mask (restrict_plan) is a new plan whose views point into its own block: +// A plan's replay under a mask (restrict_prepared_route) is a new plan whose views point into its own block: // it keeps its values after the source plan is destroyed and plans of the same shape reuse the // freed memory (a borrowing restriction would read the later plans' roots and destinations). TEST(ProgramLayouts, RestrictedPlanOwnsItsBlock) { @@ -1855,36 +1845,36 @@ TEST(ProgramLayouts, RestrictedPlanOwnsItsBlock) { {4, 5, 5, 1}, {4, 6, 5, 1}, {5, 7, 5, 1}, {6, 7, 5, 1}}); const auto mask = g->eligibility({}, std::vector {3, 7}); auto plan_of = [&](NodeId root, NodeId dst, std::vector edges) { - const auto dag = detail::PredDAGBuilder::of_edges(*g, edges); - return detail::make_plan(*g, EB, LOSSLESS, detail::WeightSource {}, root, std::vector {dst}, dag); + const auto dag = detail::PredecessorDAGBuilder::of_edges(*g, edges); + return detail::prepare_route(*g, EB, LOSSLESS, detail::WeightSource {}, root, std::vector {dst}, dag); }; - std::optional source(plan_of(0, 3, {0, 1, 2, 3})); - const auto restricted = detail::restrict_plan(*g, *source, v({0}), v({3}), &mask); - EXPECT_NE(restricted.roots.data(), source->roots.data()); - EXPECT_NE(restricted.dsts.data(), source->dsts.data()); - EXPECT_NE(restricted.topo.data(), source->topo.data()); - EXPECT_NE(restricted.head_pos.data(), source->head_pos.data()); - const auto roots = vec(restricted.roots); - const auto dsts = vec(restricted.dsts); - const auto topo = vec(restricted.topo); - const auto members = restricted.members; + std::optional source(plan_of(0, 3, {0, 1, 2, 3})); + const auto restricted = detail::restrict_prepared_route(*g, *source, v({0}), v({3}), &mask); + EXPECT_NE(restricted.sources.data(), source->sources.data()); + EXPECT_NE(restricted.destinations.data(), source->destinations.data()); + EXPECT_NE(restricted.topological_order.data(), source->topological_order.data()); + EXPECT_NE(restricted.edge_destination_positions.data(), source->edge_destination_positions.data()); + const auto roots = vec(restricted.sources); + const auto dsts = vec(restricted.destinations); + const auto topo = vec(restricted.topological_order); + const auto members = restricted.forwarding_edges; EXPECT_EQ(members, (std::vector {0, 2})); EXPECT_EQ(roots, v({0})); EXPECT_EQ(dsts, v({3})); source.reset(); - std::vector later; + std::vector later; for (int i = 0; i < 4; ++i) { later.push_back(plan_of(4, 7, {4, 5, 6, 7})); - later.push_back(detail::restrict_plan(*g, later.back(), v({4}), v({7}), &mask)); + later.push_back(detail::restrict_prepared_route(*g, later.back(), v({4}), v({7}), &mask)); } - EXPECT_EQ(vec(restricted.roots), roots); - EXPECT_EQ(vec(restricted.dsts), dsts); - EXPECT_EQ(vec(restricted.topo), topo); - EXPECT_EQ(restricted.members, members); + EXPECT_EQ(vec(restricted.sources), roots); + EXPECT_EQ(vec(restricted.destinations), dsts); + EXPECT_EQ(vec(restricted.topological_order), topo); + EXPECT_EQ(restricted.forwarding_edges, members); // Its copy owns another block too. - const detail::KernelPlan copy(restricted); - EXPECT_NE(copy.topo.data(), restricted.topo.data()); - EXPECT_EQ(vec(copy.topo), topo); + const detail::PreparedRoute copy(restricted); + EXPECT_NE(copy.topological_order.data(), restricted.topological_order.data()); + EXPECT_EQ(vec(copy.topological_order), topo); } // A program and its data are one allocation (detail::ProgramBlock): the program's data pointer @@ -1900,13 +1890,13 @@ void expect_lists_in_block(const detail::ProgramData& data) { }; inside(data.sources, "sources"); inside(data.destinations, "destinations"); - inside(data.roster, "roster"); - inside(data.slot_first, "slot_first"); - inside(data.slot_entries, "slot_entries"); - inside(data.tunnel_entry, "tunnel_entry"); + inside(data.reachable_sources, "roster"); + inside(data.source_entry_offsets, "slot_first"); + inside(data.source_entry_positions, "slot_entries"); + inside(data.tunnel_entry_positions, "tunnel_entry"); inside(data.excluded_nodes, "excluded_nodes"); inside(data.excluded_edges, "excluded_edges"); - for (const auto& c : data.contexts) inside(c.root_entry, "root_entry"); + for (const auto& c : data.split_contexts) inside(c.source_entry_positions, "root_entry"); } TEST(ProgramLayouts, ProgramOwnsItsDataBlock) { @@ -1927,9 +1917,9 @@ TEST(ProgramLayouts, ProgramOwnsItsDataBlock) { EXPECT_EQ(prog->tunnels()[0].edges, v({0, 2})); EXPECT_EQ(prog->tunnels()[1].weight, 1); EXPECT_EQ(vec(prog->sources()), v({0})); - EXPECT_EQ(vec(data.roster), v({0})); + EXPECT_EQ(vec(data.reachable_sources), v({0})); EXPECT_EQ(data.entries.size(), 2U); - EXPECT_EQ(vec(data.entries_of(0)), v({0, 1})); + EXPECT_EQ(vec(data.entries_for_source(0)), v({0, 1})); expect_lists_in_block(data); // A copy of the shared reference reads the same block. const auto copy = prog; @@ -1957,12 +1947,12 @@ TEST(ProgramLayouts, ControllerProgramOwnsItsLists) { const auto& data = detail::ProgramAccess::data(*prog); EXPECT_EQ(vec(prog->sources()), v({0, 4})); EXPECT_EQ(vec(prog->destinations()), v({3})); - EXPECT_EQ(vec(data.roster), v({0})); + EXPECT_EQ(vec(data.reachable_sources), v({0})); EXPECT_EQ(vec(data.excluded_nodes), v({4})); EXPECT_EQ(vec(data.excluded_edges), v({1, 4})); - EXPECT_EQ(vec(data.tunnel_entry), v({0})); - EXPECT_EQ(vec(data.slot_first), v({0, 1})); - EXPECT_EQ(vec(data.slot_entries), v({0})); + EXPECT_EQ(vec(data.tunnel_entry_positions), v({0})); + EXPECT_EQ(vec(data.source_entry_offsets), v({0, 1})); + EXPECT_EQ(vec(data.source_entry_positions), v({0})); expect_lists_in_block(data); } @@ -1979,38 +1969,38 @@ TEST(ProgramLayouts, ViewOwnsItsStorage) { std::optional source; { auto prog = build(0, {1}, {0, 2}, 2); - source.emplace(detail::make_view(*g, prog, nullptr, v({2}), nullptr, true)); + source.emplace(detail::make_forwarding_view(*g, prog, nullptr, v({2}), nullptr, true)); } - ASSERT_EQ(source->num_heads(), 1U); - ASSERT_FALSE(source->borrowed); // a tunnel's record bundle is made: the view holds its state + ASSERT_EQ(source->num_sources(), 1U); + ASSERT_FALSE(source->borrowed); // a tunnel's record route is made: the view holds its state const detail::ForwardingView copy(*source); const auto stale = detail::with_black_holes(*source, &dark); EXPECT_NE(copy.status_.data(), source->status_.data()); - EXPECT_NE(copy.head_entries_.data(), source->head_entries_.data()); + EXPECT_NE(copy.source_entry_positions_.data(), source->source_entry_positions_.data()); EXPECT_EQ(copy.program, source->program); EXPECT_EQ(stale.program, source->program); - EXPECT_EQ(stale.dark, &dark); + EXPECT_EQ(stale.black_holes, &dark); const auto status = copy.status_; - const auto entries_of_head = copy.head_entries_; - const auto plans = copy.plans_.size(); + const auto entries_of_head = copy.source_entry_positions_; + const auto plans = copy.prepared_routes_.size(); source.reset(); std::vector> later; for (int i = 0; i < 4; ++i) later.push_back(build(3, {4}, {3, 5}, 5)); for (const auto* view : {©, &stale}) { ASSERT_NE(view->program, nullptr); EXPECT_EQ(view->data, &detail::ProgramAccess::data(*view->program)); - EXPECT_EQ(view->head(0), 0); - EXPECT_EQ(vec(view->data->roster), v({0})); + EXPECT_EQ(view->source(0), 0); + EXPECT_EQ(vec(view->data->reachable_sources), v({0})); EXPECT_EQ(vec(view->data->destinations), v({2})); expect_lists_in_block(*view->data); EXPECT_EQ(view->status_, status); - EXPECT_EQ(view->head_entries_, entries_of_head); - ASSERT_EQ(view->plans_.size(), plans); - for (const auto& plan : view->plans_) EXPECT_EQ(vec(plan->dsts), v({2})); + EXPECT_EQ(view->source_entry_positions_, entries_of_head); + ASSERT_EQ(view->prepared_routes_.size(), plans); + for (const auto& plan : view->prepared_routes_) EXPECT_EQ(vec(plan->destinations), v({2})); } } -// A borrowed view (no mask, no black holes, no record bundle to make) holds no state of its own: +// A borrowed view (no mask, no black holes, no record route to make) holds no state of its own: // it reads the program, which its shared reference keeps alive after every other reference is // gone and programs of the same shape reuse the freed memory; a copy reads the same program, and // the same view with black holes writes the program's state out before changing it. @@ -2021,32 +2011,32 @@ TEST(ProgramLayouts, BorrowedViewReadsItsProgram) { std::optional source; { auto prog = build(0); - source.emplace(detail::make_view(*g, prog, nullptr, v({3}), nullptr, true)); + source.emplace(detail::make_forwarding_view(*g, prog, nullptr, v({3}), nullptr, true)); } ASSERT_TRUE(source->borrowed); - EXPECT_TRUE(source->status_.empty() && source->plans_.empty() && source->head_entries_.empty()); + EXPECT_TRUE(source->status_.empty() && source->prepared_routes_.empty() && source->source_entry_positions_.empty()); const detail::ForwardingView copy(*source); const auto stale = detail::with_black_holes(*source, &dark); EXPECT_TRUE(copy.borrowed); EXPECT_FALSE(stale.borrowed); - const auto* plan = source->plan(0).get(); + const auto* plan = source->prepared_route(0).get(); source.reset(); std::vector> later; for (int i = 0; i < 4; ++i) later.push_back(build(0)); for (const auto* view : {©, &stale}) { ASSERT_NE(view->program, nullptr); EXPECT_EQ(view->data, &detail::ProgramAccess::data(*view->program)); - ASSERT_EQ(view->num_heads(), 1U); - EXPECT_EQ(view->head(0), 0); + ASSERT_EQ(view->num_sources(), 1U); + EXPECT_EQ(view->source(0), 0); EXPECT_EQ(view->status(0), TunnelStatus::Up); - EXPECT_EQ(vec(view->head_entries(0)), v({0})); - EXPECT_EQ(view->root_of(0), 0); - EXPECT_EQ(view->plan(0).get(), plan); - EXPECT_EQ(view->plan(0)->members, v({0, 1, 2, 3})); - EXPECT_EQ(view->cost(0), 2); + EXPECT_EQ(vec(view->entries_for_source(0)), v({0})); + EXPECT_EQ(view->context_source_index(0), 0); + EXPECT_EQ(view->prepared_route(0).get(), plan); + EXPECT_EQ(view->prepared_route(0)->forwarding_edges, v({0, 1, 2, 3})); + EXPECT_EQ(view->min_route_cost(0), 2); expect_lists_in_block(*view->data); } - EXPECT_FALSE(copy.dark_head(0)); + EXPECT_FALSE(copy.is_blackholed_source(0)); } // An epoch is a value: its copy keeps the cohorts, the program, the rows and the counters after @@ -2056,13 +2046,13 @@ TEST(ProgramLayouts, EpochCopyOwnsItsStorage) { const auto prog = tunnels(*g, {0}, {3}, {{0, {0, 2}, 1}, {0, {1, 3}, 1}}); std::optional p(pinned(g, prog, LOSSY)); (void)(*p)->replace(12); - const detail::Epoch copy = detail::PolicyAccess::engine(*p->p).epoch; + const detail::PolicyEpoch copy = detail::PolicyAccess::engine(*p->p).epoch; const auto& live = detail::PolicyAccess::engine(*p->p).epoch; - ASSERT_EQ(copy.cohorts.size(), 2U); - EXPECT_NE(copy.cohorts.data(), live.cohorts.data()); + ASSERT_EQ(copy.record_groups.size(), 2U); + EXPECT_NE(copy.record_groups.data(), live.record_groups.data()); EXPECT_NE(copy.by_tunnel.data(), live.by_tunnel.data()); const auto rows_before = copy.by_tunnel; - const auto ids_before = std::vector {copy.cohorts[0][0].id, copy.cohorts[1][0].id}; + const auto ids_before = std::vector {copy.record_groups[0][0].record_counter, copy.record_groups[1][0].record_counter}; (void)(*p)->replace(4); p.reset(); for (int i = 0; i < 4; ++i) (void)pinned(g, prog, LOSSY)->replace(2); @@ -2071,7 +2061,7 @@ TEST(ProgramLayouts, EpochCopyOwnsItsStorage) { EXPECT_EQ(rows_before.size(), 2U); EXPECT_EQ(lo(rows_before[0].assigned), 6); EXPECT_EQ(rows_before[0].delivered, 2); - EXPECT_EQ((std::vector {copy.cohorts[0][0].id, copy.cohorts[1][0].id}), ids_before); + EXPECT_EQ((std::vector {copy.record_groups[0][0].record_counter, copy.record_groups[1][0].record_counter}), ids_before); EXPECT_EQ(lo(copy.offered), 12); EXPECT_EQ(lo(copy.requested), 12); } @@ -2112,9 +2102,9 @@ TEST(ProgramProperty, TunnelProgramsMatchTheReference) { return; } for (EdgeId e = 0; e < g->num_edges(); ++e) { - if (g->edge_src()[static_cast(e)] != u) continue; + if (g->edge_sources()[static_cast(e)] != u) continue; stack.push_back(e); - walk(g->edge_dst()[static_cast(e)]); + walk(g->edge_destinations()[static_cast(e)]); stack.pop_back(); } }; @@ -2138,7 +2128,7 @@ TEST(ProgramProperty, TunnelProgramsMatchTheReference) { ASSERT_FALSE(ref::fits(*g, t, x + 1)) << where; auto p = pinned(g, prog); const auto r = p->place(INF, kEdges); - ASSERT_EQ(r.placed, x) << where; + ASSERT_EQ(r.call_delivered, x) << where; const auto amounts = *ref::tunnel_amounts(x, t); two_heads += ref::roster(t).size() == 2 ? 1 : 0; positive += x > 0 ? 1 : 0; @@ -2158,19 +2148,19 @@ TEST(ProgramProperty, TunnelProgramsMatchTheReference) { // Conservation: a transit node passes on what it receives; the heads send their shares. std::vector in(static_cast(n), 0), out(static_cast(n), 0); for (EdgeId e = 0; e < g->num_edges(); ++e) { - out[static_cast(g->edge_src()[e])] += (*r.edge_flows)[e]; - in[static_cast(g->edge_dst()[e])] += (*r.edge_flows)[e]; + out[static_cast(g->edge_sources()[e])] += (*r.edge_flows)[e]; + in[static_cast(g->edge_destinations()[e])] += (*r.edge_flows)[e]; } for (NodeId u = 2; u < dst; ++u) EXPECT_EQ(in[u], out[u]) << where << " node " << u; EXPECT_EQ(in[dst], x) << where; EXPECT_EQ(out[0] + out[1] - in[1], x) << where; // Lossy at the bound: every share delivered, nothing dropped. const auto l = pinned(g, prog, LOSSY)->replace(x); - EXPECT_EQ(l.placed, x) << where; - EXPECT_TRUE(l.call_drops.empty()) << where; - EXPECT_TRUE(l.source_loss.is_zero()) << where; + EXPECT_EQ(l.call_delivered, x) << where; + EXPECT_TRUE(l.call_edge_drops.empty()) << where; + EXPECT_TRUE(l.source_drops.is_zero()) << where; // Lossless above the bound places the bound. - EXPECT_EQ(pinned(g, prog)->evaluate(x + 1).placed, x) << where; + EXPECT_EQ(pinned(g, prog)->evaluate(x + 1).call_delivered, x) << where; ++checked; } RecordProperty("checked", checked); @@ -2195,3 +2185,120 @@ TEST(ProgramProperty, ReferenceControls) { EXPECT_EQ(ref::lossless_bound(*g, {{0, {0}, 1}, {0, {1}, 2}}), 6); // H(6, (1, 2)) = (2, 4); H(7) = (2, 5) EXPECT_FALSE(ref::tunnel_amounts(1, {{0, {0}, 0}}).has_value()); } + +// ---------------------------------------------------------------- from_dag + +// DP: links 0->2 and 1->2 of capacity 10, then two parallel links 2->3 of capacity 1, cost 1; +// sources 0 and 1, destination 3. +const std::vector kDP = {{0, 2, 10, 1}, {1, 2, 10, 1}, {2, 3, 1, 1}, {2, 3, 1, 1}}; + +std::shared_ptr from_dag(const Graph& g, const std::vector& edges, const RouteOptions& o = {}) { + return ForwardingProgram::from_dag(g, v({0, 1}), v({3}), dag_of(g, edges), o); +} + +// DAG-pooled against DAG-separate: one context splits node 2's two units once; two contexts each +// put their unit on the first link. +TEST(FromDag, Pools) { + const auto g = graph(4, kDP); + const auto pooled = from_dag(*g, {0, 1, 2, 3}); + EXPECT_EQ(pinned(g, pooled)->place(INF).call_delivered, 2); + EXPECT_EQ(pinned(g, pooled, LOSSY)->place(2).call_delivered, 2); + const auto separate = ForwardingProgram::from_routes(*g, v({0, 1}), v({3}), + std::vector {dag_route(*g, 0, {0, 1, 2, 3}), dag_route(*g, 1, {0, 1, 2, 3})}); + EXPECT_EQ(pinned(g, separate)->place(INF).call_delivered, 1); + EXPECT_EQ(pinned(g, separate, LOSSY)->place(2).call_delivered, 1); + EXPECT_TRUE(pooled->tunnels().empty()); +} + +// LOSSY 3: node 2 splits RR(3, 2) = (2, 1), e2's 2 units go back by H(2, [2, 1]) = (2, 0). +TEST(FromDag, Attribution) { + const auto g = graph(4, kDP); + auto p = pinned(g, from_dag(*g, {0, 1, 2, 3}), LOSSY); + const auto r = p->place(3); + EXPECT_EQ(r.call_delivered, 2); + EXPECT_EQ(r.call_edge_drops, (Drops {{2, 1}})); + ASSERT_EQ(r.by_source.size(), 2U); + EXPECT_EQ(std::tuple(lo(r.by_source[0].offered), r.by_source[0].delivered, lo(r.by_source[0].total_edge_drops)), + std::tuple(Amount {2}, Amount {1}, Amount {1})); + EXPECT_EQ(std::tuple(lo(r.by_source[1].offered), r.by_source[1].delivered, lo(r.by_source[1].total_edge_drops)), + std::tuple(Amount {1}, Amount {1}, Amount {0})); + const auto records = p.ledger->records(); + ASSERT_EQ(records.size(), 2U); + EXPECT_EQ(records[0].edge_flows, (Drops {{0, 2}, {2, 1}})); + EXPECT_EQ(records[1].edge_flows, (Drops {{1, 1}, {3, 1}})); +} + +// A residual snapshot is read per EdgeId, not per position in the DAG: e0 0->2 is outside the DAG, +// e1 and e2 0->1 (cost 2) are in it; residual {10, 2, 8} weighs them 2 and 8, so an offer of 10 +// splits by highest averages as (2, 8) and e0 carries nothing. +TEST(FromDag, SnapshotReadsByEdgeId) { + const auto g = graph(3, {{0, 2, 10, 1}, {0, 1, 10, 2}, {0, 1, 10, 2}}); + RouteOptions o; + o.allocation = W; + o.weight_basis = WeightBasis::ResidualSnapshot; + o.residual = Amounts {10, 2, 8}; + const auto program = ForwardingProgram::from_dag(*g, v({0}), v({1}), dag_of(*g, {1, 2}), o); + const auto r = pinned(g, program)->replace(10, std::nullopt, kEdges); + EXPECT_EQ(r.edge_flows, (Amounts {0, 2, 8})); +} + +// ShortestPaths ECMP and Pinned over from_dag of the same DAG: identical delivered, drops and rows +// for Lossy offers 1 to 5 and the Lossless bound; the same under a mask, and WCMP on DP3. +TEST(FromDag, EqualsShortestPaths) { + const auto check = [](const std::shared_ptr& g, RouteAllocation k, std::shared_ptr mask) -> Amount { + RouteOptions o; + o.allocation = k; + const auto program = from_dag(*g, {0, 1, 2, 3}, o); + for (const Amount offer : {1, 2, 3, 4, 5}) { + auto a = make(g, v({0, 1}), v({3}), cost_only(k, LOSSY), mask); + auto b = make(g, v({0, 1}), v({3}), FlowPolicyConfig {.routing = Pinned {program, nullptr}, .admission = LOSSY}, mask); + const auto x = a->place(offer); + const auto y = b->place(offer); + EXPECT_EQ(x.call_delivered, y.call_delivered) << offer; + EXPECT_EQ(x.call_edge_drops, y.call_edge_drops) << offer; + EXPECT_EQ(x.by_source.size(), y.by_source.size()); + for (std::size_t i = 0; i < std::min(x.by_source.size(), y.by_source.size()); ++i) { + EXPECT_EQ(x.by_source[i].delivered, y.by_source[i].delivered) << offer; + EXPECT_EQ(x.by_source[i].total_edge_drops, y.by_source[i].total_edge_drops) << offer; + } + } + auto a = make(g, v({0, 1}), v({3}), cost_only(k), mask); + auto b = make(g, v({0, 1}), v({3}), FlowPolicyConfig {.routing = Pinned {program, nullptr}}, mask); + const Amount bound = a->place(INF).call_delivered; + EXPECT_EQ(bound, b->place(INF).call_delivered); + return bound; + }; + const auto dp = graph(4, kDP); + EXPECT_EQ(check(dp, EB, nullptr), 2); + EXPECT_EQ(check(dp, EB, no_edges(*dp, {3})), 1); + EXPECT_EQ(check(graph(4, {{0, 2, 10, 1}, {1, 2, 10, 1}, {2, 3, 1, 1}, {2, 3, 3, 1}}), W, nullptr), 4); +} + +// The validation order of from_dag: the endpoints, the DAG's graph, the allocation, the weights. +TEST(FromDag, Validation) { + const auto g = graph(4, kDP); + const auto other = graph(4, kDP); + const auto whole = dag_of(*g, {0, 1, 2, 3}); + const auto foreign = dag_of(*other, {0, 1, 2, 3}); + RouteOptions optimized; + optimized.allocation = MF; + RouteOptions basis; + basis.weight_basis = WeightBasis::Capacity; + RouteOptions short_weights; + short_weights.allocation = W; + short_weights.weight_basis = WeightBasis::Explicit; + short_weights.edge_weights = std::vector {1, 1, 1}; + const auto err = [&](std::vector s, const std::shared_ptr& d, const RouteOptions& o) { + return error_of([&] { (void)ForwardingProgram::from_dag(*g, s, v({3}), d, o); }); + }; + EXPECT_EQ(err({}, foreign, optimized), "sources: the node set is empty"); + EXPECT_EQ(err({0, 1}, foreign, optimized), "dag belongs to another graph"); + EXPECT_EQ(err({0, 1}, nullptr, {}), "dag belongs to another graph"); + EXPECT_EQ(err({0, 1}, whole, optimized), "from_dag allocation must be EQUAL or WEIGHTED"); + EXPECT_EQ(err({0, 1}, whole, basis), "weight_basis requires allocation=WEIGHTED"); + EXPECT_EQ(err({0, 1}, whole, short_weights), "edge_weights: expected 4 entries"); + // An empty roster is a valid program. + const auto none = ForwardingProgram::from_dag(*g, v({0, 1}), v({3}), dag_of(*g, {2, 3})); + EXPECT_TRUE(none->tunnels().empty()); + EXPECT_EQ(pinned(g, none)->place(INF).termination, Termination::NoRoute); +} diff --git a/tests/cpp/public_names_tests.cpp b/tests/cpp/public_names_tests.cpp new file mode 100644 index 0000000..17b8c61 --- /dev/null +++ b/tests/cpp/public_names_tests.cpp @@ -0,0 +1,139 @@ +// The C++ public names: each renamed declaration is named once here, through the public headers +// alone, so a rename that is undone or a name that is removed fails to compile; the enumerators of +// every public enumeration; and the earlier header names, which no longer exist. + +#include + +#include +#include +#include +#include + +#include "netgraph/core/eligibility.hpp" +#include "netgraph/core/evaluators.hpp" +#include "netgraph/core/flow_ledger.hpp" +#include "netgraph/core/flow_policy.hpp" +#include "netgraph/core/flow_record.hpp" +#include "netgraph/core/forwarding_program.hpp" +#include "netgraph/core/graph.hpp" +#include "netgraph/core/options.hpp" +#include "netgraph/core/route_structures.hpp" +#include "netgraph/core/search.hpp" +#include "netgraph/core/shortest_path_cache.hpp" +#include "netgraph/core/types.hpp" + +using namespace netgraph::core; + +namespace { + +// The earlier headers are gone. +#if __has_include("netgraph/core/dag_cache.hpp") || __has_include("netgraph/core/pred_dag.hpp") || \ + __has_include("netgraph/core/program.hpp") +#error "an earlier public header still exists" +#endif + +// Types. +static_assert(std::is_class_v && std::is_class_v && std::is_class_v); +static_assert(std::is_class_v && std::is_class_v && std::is_class_v && + std::is_class_v); +static_assert(std::is_class_v && std::is_base_of_v); +static_assert(std::is_class_v && std::is_class_v && std::is_class_v); +static_assert(std::is_enum_v && std::is_enum_v && std::is_enum_v); + +// Fields. +static_assert(requires(DistributedTE x) { x.cost_ceiling; x.tie_break; x.parallel_edges; }); +static_assert(requires(ShortestPaths x) { + x.allocation; + x.source_allocation; + x.weight_basis; + x.edge_weights; + x.tie_break; + x.multipath; + x.parallel_edges; +}); +static_assert(requires(CentralizedTE x) { x.source_allocation; x.support; x.tunnel_count; x.prefer_headroom; }); +static_assert(requires(FlowRecord x) { x.route; x.edge_drops; x.edge_flows; x.entry_id; x.policy_id; x.min_route_cost; }); +static_assert(requires(KspOptions x) { x.eligibility; x.cost_ceiling; x.tie_break; x.parallel_edges; }); +static_assert(requires(SpfOptions x) { x.eligibility; x.tie_break; x.multipath; x.parallel_edges; }); +static_assert(requires(OutputOptions x) { x.saturated_boundary_edges; }); +static_assert(requires(PlacementResult x) { + x.saturated_boundary_edges; + x.call_edge_drops; + x.call_source_drops; + x.marginal_cost_curve; + x.edge_drops; + x.call_delivered; + x.call_undelivered; + x.source_drops; +}); +static_assert(requires(EvaluationOptions x) { x.eligibility; x.offer; x.design_demand; }); +static_assert(requires(RouteDefinition x) { x.route; x.head; x.weight; }); +static_assert(requires(RouteOptions x) { x.allocation; x.weight_basis; x.edge_weights; x.residual; }); +static_assert(requires(SensitivityEntry x) { x.delivery_reduction; }); +static_assert(requires(SourceFlow x) { x.total_edge_drops; x.source_drops; }); +static_assert(requires(Tunnel x) { x.entry_id; x.path_cost; x.planned_bandwidth; }); +static_assert(requires(TunnelFlow x) { x.total_edge_drops; x.entry_id; }); +static_assert(requires(TunnelCount x) { x.per_head; x.up_to; }); + +// Functions and methods. +static_assert(requires(const Eligibility& e) { e.allows_edge(EdgeId {0}); e.allows_node(NodeId {0}); }); +static_assert(requires(const FlowLedger& f, std::span s) { + f.carried(); + f.saturated_boundary_edges(s); + f.edge_capacity_units(); +}); +static_assert(requires(const FlowPolicy& p) { p.delivered(); }); +static_assert(requires(const Graph& g) { + g.edge_capacity_units(); + g.edge_costs(); + g.edge_cost_gcd(); + g.edge_destinations(); + g.edge_sources(); + g.incoming_edges(); + g.incoming_offsets(); + g.input_positions(); + g.max_edge_cost(); + g.outgoing_offsets(); +}); +static_assert(requires(const Path& p) { p.source(); p.destination(); }); +static_assert(requires(const Graph& g, std::span s, const EvaluationOptions& o) { + evaluate_demand(g, s, s, o); + evaluate_edge_failures(g, s, s, o, 1); +}); +static_assert(requires(const Graph& g, std::span s, std::shared_ptr dag) { + ForwardingProgram::from_dag(g, s, s, dag); +}); + +} // namespace + +// Every enumerator of the public enumerations, in declaration order (the order of the stub and +// docs/semantics.md). Only TunnelStatus's and Termination's integer values are promised +// (docs/semantics.md, "Termination" and "Forwarding programs"); for the others only the order is +// checked. +template +constexpr bool declared_in_order(std::initializer_list names) { + const E* prev = nullptr; + for (const E& e : names) { + if (prev != nullptr && !(*prev < e)) return false; + prev = &e; + } + return true; +} + +TEST(PublicNames, Enumerations) { + static_assert(declared_in_order({RouteTieBreak::FewerHops, RouteTieBreak::HigherCapacity, + RouteTieBreak::HigherAvailableCapacity, RouteTieBreak::HigherHeadroom})); + static_assert(declared_in_order({RouteAllocation::Equal, RouteAllocation::Weighted, RouteAllocation::Optimized})); + static_assert(declared_in_order({SourceAllocation::Equal, SourceAllocation::Optimized})); + static_assert(declared_in_order({WeightBasis::Capacity, WeightBasis::Explicit, WeightBasis::ResidualSnapshot})); + static_assert(declared_in_order({Admission::Lossless, Admission::Lossy})); + static_assert(declared_in_order({Direction::Forward, Direction::Reverse})); + static_assert(static_cast(TunnelStatus::Up) == 0 && static_cast(TunnelStatus::InsufficientBandwidth) == 1 && + static_cast(TunnelStatus::CostCeilingExceeded) == 2 && static_cast(TunnelStatus::Failed) == 3 && + static_cast(TunnelStatus::Blackholed) == 4); + static_assert(static_cast(Termination::Complete) == 0 && static_cast(Termination::NoRoute) == 1 && + static_cast(Termination::Exhausted) == 2 && static_cast(Termination::NoActiveWeight) == 3); + // CentralizedTE names its source allocation: no default construction. + static_assert(!std::is_default_constructible_v); + EXPECT_EQ(CentralizedTE(SourceAllocation::Equal).source_allocation, SourceAllocation::Equal); +} diff --git a/tests/cpp/kernels_tests.cpp b/tests/cpp/route_kernels_tests.cpp similarity index 71% rename from tests/cpp/kernels_tests.cpp rename to tests/cpp/route_kernels_tests.cpp index b443fa5..972edde 100644 --- a/tests/cpp/kernels_tests.cpp +++ b/tests/cpp/route_kernels_tests.cpp @@ -2,12 +2,12 @@ // highest averages against the sequential definition, house monotonicity and the Hamilton hole // control, the round-robin callback form, the lower-quota division on both sides of 2^64; the // kernel check (the first defect in order, the combination rule alone); plans (membership by -// kernel and priority, split-graph pruning, the walk definition for every kernel), alloc(T) at +// kernel and tie score, split-graph pruning, the walk definition for every kernel), alloc(T) at // every split, exact T_max against an independent per-node reference, the Lossless -// steps of MaxFlow (replacement on V = W + own, the cancellation DAG, the equal-optimum and -// cancel-upstream controls, the release witness, the mixed-cost bundle; randomized steps +// steps of Optimized (replacement on V = W + own, the cancellation DAG, the equal-optimum and +// cancel-upstream controls, the release witness, the mixed-cost route; randomized steps // certified on their member subset against an exhaustive optimum or an independent solver, with -// every cost multiplied, and the step certificate's own controls), Weighted and EqualBalanced, +// every cost multiplied, and the step certificate's own controls), Weighted and Equal, // and the Lossy steps (drops, +inf injection; on random DAGs against an independent per-node // reference). Expected values are the closed forms, the hand derivations given in each test, those // independent optima and the per-node references. @@ -26,8 +26,8 @@ #include #include "netgraph/core/detail/int128.hpp" -#include "netgraph/core/detail/kernels.hpp" -#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/detail/route_kernels.hpp" +#include "netgraph/core/detail/route_builders.hpp" #include "test_utils.hpp" using namespace netgraph::core; @@ -117,7 +117,7 @@ std::vector per_node_reference(int n, const std::vector hamilton(Amount total, const std::vector& w) { } // Member-aligned view of a dense per-edge array. -std::vector on_members(const KernelPlan& plan, const std::vector& dense) { +std::vector on_members(const PreparedRoute& plan, const std::vector& dense) { std::vector out; - for (EdgeId e : plan.members) out.push_back(dense[static_cast(e)]); + for (EdgeId e : plan.forwarding_edges) out.push_back(dense[static_cast(e)]); return out; } // A member-aligned allocation as a dense per-edge array in input coordinates. -std::vector dense_input(const Graph& g, const KernelPlan& plan, const std::vector& alloc_m) { +std::vector dense_input(const Graph& g, const PreparedRoute& plan, const std::vector& alloc_m) { std::vector by_id(static_cast(g.num_edges()), 0); - for (std::size_t m = 0; m < plan.members.size(); ++m) by_id[static_cast(plan.members[m])] = alloc_m[m]; + for (std::size_t m = 0; m < plan.forwarding_edges.size(); ++m) by_id[static_cast(plan.forwarding_edges[m])] = alloc_m[m]; return to_input(g, by_id); } // A plan on `route` whose Weighted weights are the creation view `view` (ResidualSnapshot, the // default) or the capacities (Capacity). -KernelPlan plan_of(const Graph& g, FlowPlacement p, NodeId src, std::vector dsts, +PreparedRoute plan_of(const Graph& g, RouteAllocation p, NodeId src, std::vector dsts, std::vector route, const std::vector& view, WeightBasis basis = WeightBasis::ResidualSnapshot, Admission adm = Admission::Lossless) { std::sort(route.begin(), route.end()); @@ -204,17 +204,17 @@ KernelPlan plan_of(const Graph& g, FlowPlacement p, NodeId src, std::vector(e)]); const WeightSource weights {basis, basis == WeightBasis::ResidualSnapshot ? std::span(on_route) : std::span {}}; - return make_plan(g, p, adm, weights, src, dsts, PredDAGBuilder::of_edges(g, route)); + return prepare_route(g, p, adm, weights, src, dsts, PredecessorDAGBuilder::of_edges(g, route)); } -// The route cost of a plan's route (its record's bundle). -Cost cost_of(const Graph& g, const KernelPlan& plan) { - return route_cost(g, PredDAGBuilder::of_edges(g, plan.route), plan.roots.front(), plan.dsts); +// The route cost of a plan's route (its record's route). +Cost cost_of(const Graph& g, const PreparedRoute& plan) { + return min_route_cost(g, PredecessorDAGBuilder::of_edges(g, plan.support_edges), plan.sources.front(), plan.destinations); } // One Lossy offer of a single-root plan on the member-aligned view `w` (nullopt: the first-hop // experiment of +inf). -Forwarding lossy_step(const KernelPlan& plan, std::optional offer, std::span w) { +Forwarding lossy_step(const PreparedRoute& plan, std::optional offer, std::span w) { Injection in; if (offer.has_value()) { in.per_root = std::span(&*offer, 1); @@ -225,14 +225,14 @@ Forwarding lossy_step(const KernelPlan& plan, std::optional offer, std:: } std::vector caps(const Graph& g) { - return std::vector(g.capacity_units().begin(), g.capacity_units().end()); + return std::vector(g.edge_capacity_units().begin(), g.edge_capacity_units().end()); } // One Lossless step on a fresh flow at T = 0. -LosslessStep first_step(const Graph& g, const KernelPlan& plan, const std::vector& view, +LosslessStep first_step(const Graph& g, const PreparedRoute& plan, const std::vector& view, std::optional request) { const auto v = on_members(plan, view); - const std::vector own(plan.members.size(), 0); + const std::vector own(plan.forwarding_edges.size(), 0); return lossless_step(g, plan, 0, v, own, request); } @@ -262,20 +262,20 @@ std::vector walk_members(const Graph& g, const std::vector& edge fwd[static_cast(src)] = 1; std::vector open; for (EdgeId e : edges) { - if (is_dst[static_cast(g.edge_src()[static_cast(e)])] == 0) open.push_back(e); + if (is_dst[static_cast(g.edge_sources()[static_cast(e)])] == 0) open.push_back(e); } for (std::size_t round = 0; round < n; ++round) { for (EdgeId e : open) { - const auto u = static_cast(g.edge_src()[static_cast(e)]); - const auto v = static_cast(g.edge_dst()[static_cast(e)]); + const auto u = static_cast(g.edge_sources()[static_cast(e)]); + const auto v = static_cast(g.edge_destinations()[static_cast(e)]); if (fwd[u] != 0) fwd[v] = 1; if (bwd[v] != 0) bwd[u] = 1; } } std::vector out; for (EdgeId e : open) { - if (fwd[static_cast(g.edge_src()[static_cast(e)])] != 0 && - bwd[static_cast(g.edge_dst()[static_cast(e)])] != 0) { + if (fwd[static_cast(g.edge_sources()[static_cast(e)])] != 0 && + bwd[static_cast(g.edge_destinations()[static_cast(e)])] != 0) { out.push_back(e); } } @@ -300,7 +300,7 @@ TEST(Apportion, RoundRobinAndHighestAveragesValues) { // Highest averages with zero weights (pooled attribution divides by what each source holds, and a // source can hold nothing): a zero weight gets nothing and all-zero weights give nothing. The -// contract's examples: a member more than one unit from proportional, the local bounds of highest +// worked examples: a member more than one unit from proportional, the local bounds of highest // averages and of round robin, and the sweep: every total up to 24 over 1 to 4 members with weights 0 to 4, // not all zero (19,400 cases), equals the sequential definition, and each member's rounding error // against its proportional share is below k units (k members), below 1 for equal weights. @@ -535,63 +535,63 @@ TEST(Apportion, HamiltonHoleControl) { // The kernel's T_max on the same plan (parallel links 1, 3, 3 with Capacity weights, link 0 // held by a third party): exactly 4, allocation [0, 2, 2]. auto g = make_graph(2, {{0, 1, 1, 1}, {0, 1, 3, 1}, {0, 1, 3, 1}}); - const auto plan = plan_of(g, FlowPlacement::Weighted, 0, {1}, all_ids(g), caps(g), WeightBasis::Capacity); + const auto plan = plan_of(g, RouteAllocation::Weighted, 0, {1}, all_ids(g), caps(g), WeightBasis::Capacity); const auto view_dense = to_ids(g, std::vector {0, 3, 3}); - const auto tm = t_max(plan, on_members(plan, view_dense)); + const auto tm = max_lossless_offer(plan, on_members(plan, view_dense)); EXPECT_EQ(tm.value, 4); - std::vector at4(plan.members.size()); + std::vector at4(plan.forwarding_edges.size()); ASSERT_TRUE(allocate(plan, 4, at4)); EXPECT_EQ(dense_input(g, plan, at4), (std::vector{0, 2, 2})); - std::vector at3(plan.members.size()); + std::vector at3(plan.forwarding_edges.size()); ASSERT_TRUE(allocate(plan, 3, at3)); EXPECT_EQ(dense_input(g, plan, at3), (std::vector{0, 2, 1})); } // The kernel entries keep their complete check: with several defects at once, one error, the -// first in the order placement, admission, then the combination Lossy with MaxFlow; at -// check_kernel and at the two entries that call it. Weighted takes no priority (its weights come +// first in the order allocation, admission, then the combination Lossy with Optimized; at +// check_kernel and at the two entries that call it. Weighted takes no tie score (its weights come // from a WeightSource), so Headroom is no kernel defect. TEST(Plans, KernelEntriesReportTheFirstDefectInOrder) { - const auto bad_placement = static_cast(99); + const auto bad_allocation = static_cast(99); const auto bad_admission = static_cast(98); struct Case { - FlowPlacement k; + RouteAllocation k; Admission a; std::string error; }; const std::vector cases = { - {bad_placement, bad_admission, "placement: 99 is not a value of FlowPlacement"}, - {bad_placement, Admission::Lossy, "placement: 99 is not a value of FlowPlacement"}, - {FlowPlacement::MaxFlow, bad_admission, "admission: 98 is not a value of Admission"}, - {FlowPlacement::MaxFlow, Admission::Lossy, kLossyKernelError}, - {FlowPlacement::Weighted, Admission::Lossy, ""}, - {FlowPlacement::Weighted, Admission::Lossless, ""}, + {bad_allocation, bad_admission, "allocation: 99 is not a value of RouteAllocation"}, + {bad_allocation, Admission::Lossy, "allocation: 99 is not a value of RouteAllocation"}, + {RouteAllocation::Optimized, bad_admission, "admission: 98 is not a value of Admission"}, + {RouteAllocation::Optimized, Admission::Lossy, kLossyKernelError}, + {RouteAllocation::Weighted, Admission::Lossy, ""}, + {RouteAllocation::Weighted, Admission::Lossless, ""}, }; const auto g = make_graph(3, {{0, 1, 2, 1}, {1, 2, 2, 1}}); const auto support = all_edges(g); const std::vector dsts = {2}; - const PriorityValues values {&g, EdgePriority::Capacity, {}}; + const PriorityValues values {&g, RouteTieBreak::FewerHops, {}}; for (const auto& c : cases) { EXPECT_EQ(error_of([&] { check_kernel(c.k, c.a); }), c.error); - EXPECT_EQ(error_of([&] { (void)make_plan(g, c.k, c.a, WeightSource {}, 0, dsts, *support); }), c.error); - PathSelection selection(EdgeTieBreak::Deterministic, EdgePriority::Headroom); + EXPECT_EQ(error_of([&] { (void)prepare_route(g, c.k, c.a, WeightSource {}, 0, dsts, *support); }), c.error); + const RouteChoice choice {}; EXPECT_EQ(error_of([&] { - (void)cost_only_creation(g, support, 0, dsts, selection, PriorityFn::of(values), c.k, c.a, WeightSource {}); + (void)prepare_shortest_paths(g, support, 0, dsts, choice, PriorityReader::of(values), c.k, c.a, WeightSource {}); }), c.error); } } -// validate_config's part of the kernel check: the one combination only, never a domain, which the +// check_config's part of the kernel check: the one combination only, never a domain, which the // configuration has checked under its own field names just before. TEST(Plans, TheCombinationRuleAloneChecksNoDomain) { - const auto bad_placement = static_cast(99); + const auto bad_allocation = static_cast(99); const auto bad_admission = static_cast(98); - EXPECT_EQ(error_of([&] { check_kernel_combination(FlowPlacement::MaxFlow, Admission::Lossy); }), kLossyKernelError); - EXPECT_EQ(error_of([&] { check_kernel_combination(bad_placement, bad_admission); }), ""); - for (auto k : {FlowPlacement::MaxFlow, FlowPlacement::Weighted, FlowPlacement::EqualBalanced}) { + EXPECT_EQ(error_of([&] { check_kernel_combination(RouteAllocation::Optimized, Admission::Lossy); }), kLossyKernelError); + EXPECT_EQ(error_of([&] { check_kernel_combination(bad_allocation, bad_admission); }), ""); + for (auto k : {RouteAllocation::Optimized, RouteAllocation::Weighted, RouteAllocation::Equal}) { for (auto a : {Admission::Lossless, Admission::Lossy}) { - const bool rejected = a == Admission::Lossy && k == FlowPlacement::MaxFlow; + const bool rejected = a == Admission::Lossy && k == RouteAllocation::Optimized; EXPECT_EQ(error_of([&] { check_kernel_combination(k, a); }).empty(), !rejected); EXPECT_EQ(error_of([&] { check_kernel_combination(k, a); }), error_of([&] { check_kernel(k, a); })); } @@ -603,79 +603,79 @@ TEST(Plans, MembershipByKernelAndPriority) { auto g = make_graph(2, {{0, 1, 4, 1}, {0, 1, 4, 1}, {0, 1, 0, 1}}); const auto view = to_ids(g, std::vector {0, 4, 0}); const auto inv = id_of_input(g); - auto mf = plan_of(g, FlowPlacement::MaxFlow, 0, {1}, all_ids(g), view); - EXPECT_EQ(mf.members, (std::vector{0, 1, 2})); // MaxFlow: the view decides - // EqualBalanced: every route edge, the zero-capacity one included (it takes its round-robin + auto mf = plan_of(g, RouteAllocation::Optimized, 0, {1}, all_ids(g), view); + EXPECT_EQ(mf.forwarding_edges, (std::vector{0, 1, 2})); // Optimized: the view decides + // Equal: every route edge, the zero-capacity one included (it takes its round-robin // share and carries nothing). - auto eb = plan_of(g, FlowPlacement::EqualBalanced, 0, {1}, all_ids(g), view); - EXPECT_EQ(eb.members, (std::vector{0, 1, 2})); + auto eb = plan_of(g, RouteAllocation::Equal, 0, {1}, all_ids(g), view); + EXPECT_EQ(eb.forwarding_edges, (std::vector{0, 1, 2})); // Weighted: the edges of positive weight (residual weights on the creation view, capacity // weights on the capacities). - auto wr = plan_of(g, FlowPlacement::Weighted, 0, {1}, all_ids(g), view, WeightBasis::ResidualSnapshot); - EXPECT_EQ(wr.members, (std::vector{inv[1]})); + auto wr = plan_of(g, RouteAllocation::Weighted, 0, {1}, all_ids(g), view, WeightBasis::ResidualSnapshot); + EXPECT_EQ(wr.forwarding_edges, (std::vector{inv[1]})); EXPECT_EQ(wr.weights, (std::vector{4})); - auto wc = plan_of(g, FlowPlacement::Weighted, 0, {1}, all_ids(g), view, WeightBasis::Capacity); - EXPECT_EQ(wc.members, (std::vector{inv[0], inv[1]})); + auto wc = plan_of(g, RouteAllocation::Weighted, 0, {1}, all_ids(g), view, WeightBasis::Capacity); + EXPECT_EQ(wc.forwarding_edges, (std::vector{inv[0], inv[1]})); EXPECT_EQ(wc.weights, (std::vector{4, 4})); // Lossy keeps its kernel's membership and weights. - for (const auto& [kernel, prio, lossless] : {std::tuple {FlowPlacement::EqualBalanced, WeightBasis::ResidualSnapshot, &eb}, - std::tuple {FlowPlacement::Weighted, WeightBasis::ResidualSnapshot, &wr}, - std::tuple {FlowPlacement::Weighted, WeightBasis::Capacity, &wc}}) { + for (const auto& [kernel, prio, lossless] : {std::tuple {RouteAllocation::Equal, WeightBasis::ResidualSnapshot, &eb}, + std::tuple {RouteAllocation::Weighted, WeightBasis::ResidualSnapshot, &wr}, + std::tuple {RouteAllocation::Weighted, WeightBasis::Capacity, &wc}}) { const auto lossy = plan_of(g, kernel, 0, {1}, all_ids(g), view, prio, Admission::Lossy); - EXPECT_EQ(lossy.members, lossless->members) << static_cast(kernel) << " " << static_cast(prio); + EXPECT_EQ(lossy.forwarding_edges, lossless->forwarding_edges) << static_cast(kernel) << " " << static_cast(prio); EXPECT_EQ(lossy.weights, lossless->weights) << static_cast(kernel) << " " << static_cast(prio); } } TEST(Plans, SplitGraphPruning) { - // A zero-capacity tail. 0->1, 0->2, 1->3, 2->4 (cap 0), 4->3. EqualBalanced keeps the branch + // A zero-capacity tail. 0->1, 0->2, 1->3, 2->4 (cap 0), 4->3. Equal keeps the branch // through 2: its share is stranded on 2->4, so T = 2 puts a unit there and T_max is 1. // Weighted gives 2->4 weight 0: node 2 is left without a member, so the branch is pruned and // the whole total takes the other branch. auto g = make_graph(5, {{0, 1, 2, 1}, {0, 2, 2, 1}, {1, 3, 2, 1}, {2, 4, 0, 1}, {4, 3, 2, 1}}); const auto inv = id_of_input(g); - auto eb = plan_of(g, FlowPlacement::EqualBalanced, 0, {3}, all_ids(g), caps(g)); - EXPECT_EQ(eb.members, all_ids(g)); - std::vector a(eb.members.size()); + auto eb = plan_of(g, RouteAllocation::Equal, 0, {3}, all_ids(g), caps(g)); + EXPECT_EQ(eb.forwarding_edges, all_ids(g)); + std::vector a(eb.forwarding_edges.size()); ASSERT_TRUE(allocate(eb, 2, a)); EXPECT_EQ(dense_input(g, eb, a), (std::vector{1, 1, 1, 1, 1})); - EXPECT_EQ(t_max(eb, caps(g)).value, 1); // every edge is a member: the capacities are member-aligned - auto w = plan_of(g, FlowPlacement::Weighted, 0, {3}, all_ids(g), caps(g), WeightBasis::Capacity); + EXPECT_EQ(max_lossless_offer(eb, caps(g)).value, 1); // every edge is a member: the capacities are member-aligned + auto w = plan_of(g, RouteAllocation::Weighted, 0, {3}, all_ids(g), caps(g), WeightBasis::Capacity); std::vector want = {inv[0], inv[2]}; std::sort(want.begin(), want.end()); - EXPECT_EQ(w.members, want); - std::vector b(w.members.size()); + EXPECT_EQ(w.forwarding_edges, want); + std::vector b(w.forwarding_edges.size()); ASSERT_TRUE(allocate(w, 2, b)); EXPECT_EQ(dense_input(g, w, b), (std::vector{2, 0, 2, 0, 0})); // Destinations are terminal; a destination set keeps both destinations. auto g2 = make_graph(4, {{0, 1, 3, 1}, {1, 2, 3, 1}, {0, 2, 3, 2}, {2, 3, 3, 1}}); - auto any = plan_of(g2, FlowPlacement::EqualBalanced, 0, {1, 2}, all_ids(g2), caps(g2)); + auto any = plan_of(g2, RouteAllocation::Equal, 0, {1, 2}, all_ids(g2), caps(g2)); const auto inv2 = id_of_input(g2); std::vector want2 = {inv2[0], inv2[2]}; // 1->2 leaves destination 1; 2->3 leaves 2 std::sort(want2.begin(), want2.end()); - EXPECT_EQ(any.members, want2); + EXPECT_EQ(any.forwarding_edges, want2); EXPECT_EQ(cost_of(g2, any), 1); // An empty split graph (a route that reaches no destination): route cost unreachable, T_max 0. - auto none = plan_of(g, FlowPlacement::EqualBalanced, 0, {3}, std::vector {inv[1], inv[3]}, caps(g)); - EXPECT_TRUE(none.members.empty()); + auto none = plan_of(g, RouteAllocation::Equal, 0, {3}, std::vector {inv[1], inv[3]}, caps(g)); + EXPECT_TRUE(none.forwarding_edges.empty()); EXPECT_EQ(cost_of(g, none), kUnreachable); - EXPECT_EQ(t_max(none, {}).value, 0); + EXPECT_EQ(max_lossless_offer(none, {}).value, 0); } TEST(Plans, SplitGraphEqualsTheWalkDefinition) { // On random DAGs (parallel edges, zero capacities, statically excluded edges and nodes, edges - // into the source and out of a destination, one or two destinations) the route of a bundle is, + // into the source and out of a destination, one or two destinations) the route of a supplied DAG is, // by definition, its allowed edges, whatever their capacity, on some walk from the source to a // destination that enters no destination before its end, and the split graph is the route for - // MaxFlow and EqualBalanced, and for Weighted (capacity weights) the same definition over the + // Optimized and Equal, and for Weighted (capacity weights) the same definition over the // allowed edges of at least 1 unit: the route and the members equal an independent // reachability computation, the route cost equals an independent shortest walk over the // allowed edges, the topological structure orders every member's tail before its head, and an // allocation conserves its total and equals the per-node reference (each node's inflow split - // over its members by the kernel's rule). make_plan on the DAG of the allowed edges gives the - // same plan as restrict_plan of the bundle's plan under the Eligibility (a replay's plan), for - // every kernel, but for the route field. On the bundle itself (no Eligibility) make_plan's - // MaxFlow and EqualBalanced members are the walk definition over all the bundle's edges. + // over its members by the kernel's rule). prepare_route on the DAG of the allowed edges gives + // the same plan as restrict_prepared_route of the route's plan under the Eligibility (a replay's + // plan), for every kernel, but for the route field. On the route itself (no Eligibility) + // prepare_route's Optimized and Equal members are the walk definition over all its edges. std::mt19937 rng(2024); int compared = 0; int masked_differs = 0; // trials where the Eligibility changes the route @@ -687,11 +687,11 @@ TEST(Plans, SplitGraphEqualsTheWalkDefinition) { rng, n, 2 * n + static_cast(rng() % 10), [&] { return (rng() % 6) == 0 ? Amount {0} : 1 + static_cast(rng() % 9); }, [&] { return 1 + static_cast(rng() % 4); })); - std::vector in_bundle; + std::vector in_route; for (EdgeId e : all_ids(g)) { - if ((rng() % 5) != 0) in_bundle.push_back(e); + if ((rng() % 5) != 0) in_route.push_back(e); } - const auto bundle = PredDAGBuilder::of_edges(g, in_bundle); + const auto route_dag = PredecessorDAGBuilder::of_edges(g, in_route); const NodeId src = static_cast(rng() % static_cast(n)); std::vector dsts; for (int k = 0; k < 1 + static_cast(rng() % 2); ++k) { @@ -710,14 +710,14 @@ TEST(Plans, SplitGraphEqualsTheWalkDefinition) { } elig = g.eligibility(xn, xe); } - const auto capacity = g.capacity_units(); - const auto edge_src = g.edge_src(); - const auto edge_dst = g.edge_dst(); - const auto cost = g.cost(); + const auto capacity = g.edge_capacity_units(); + const auto edge_sources = g.edge_sources(); + const auto edge_destinations = g.edge_destinations(); + const auto cost = g.edge_costs(); std::vector usable; // allowed std::vector positive; // allowed, at least 1 unit - for (EdgeId e : PredDAGBuilder::ascending(bundle)) { - if (elig && !elig->edge_ok(e)) continue; + for (EdgeId e : PredecessorDAGBuilder::ascending(route_dag)) { + if (elig && !elig->allows_edge(e)) continue; usable.push_back(e); if (capacity[static_cast(e)] >= 1) positive.push_back(e); } @@ -732,8 +732,8 @@ TEST(Plans, SplitGraphEqualsTheWalkDefinition) { dist[static_cast(src)] = 0; for (int round = 0; round < n; ++round) { for (EdgeId e : usable) { - const auto u = static_cast(edge_src[static_cast(e)]); - const auto v = static_cast(edge_dst[static_cast(e)]); + const auto u = static_cast(edge_sources[static_cast(e)]); + const auto v = static_cast(edge_destinations[static_cast(e)]); if (is_dst[u] == 0 && dist[u] != kUnreachable) dist[v] = std::min(dist[v], dist[u] + cost[static_cast(e)]); } } @@ -741,58 +741,58 @@ TEST(Plans, SplitGraphEqualsTheWalkDefinition) { if (!want.empty()) { for (NodeId d : dsts) want_cost = std::min(want_cost, dist[static_cast(d)]); } - const auto usable_dag = PredDAGBuilder::of_edges(g, usable); - const auto bundle_edges = PredDAGBuilder::ascending(bundle); - const auto unmasked_want = walk_members(g, std::vector(bundle_edges.begin(), bundle_edges.end()), src, dsts); - for (const auto kernel : {FlowPlacement::MaxFlow, FlowPlacement::EqualBalanced}) { - EXPECT_EQ(make_plan(g, kernel, Admission::Lossless, WeightSource {}, src, dsts, bundle).members, unmasked_want) + const auto usable_dag = PredecessorDAGBuilder::of_edges(g, usable); + const auto route_edges = PredecessorDAGBuilder::ascending(route_dag); + const auto unmasked_want = walk_members(g, std::vector(route_edges.begin(), route_edges.end()), src, dsts); + for (const auto kernel : {RouteAllocation::Optimized, RouteAllocation::Equal}) { + EXPECT_EQ(prepare_route(g, kernel, Admission::Lossless, WeightSource {}, src, dsts, route_dag).forwarding_edges, unmasked_want) << "trial " << trial; } masked_differs += unmasked_want != want ? 1 : 0; - for (const auto kernel : {FlowPlacement::EqualBalanced, FlowPlacement::Weighted, FlowPlacement::MaxFlow}) { - const auto unmasked = make_plan(g, kernel, Admission::Lossless, WeightSource {}, src, dsts, bundle); - const auto on_bundle = restrict_plan(g, unmasked, std::vector {src}, dsts, elig ? &*elig : nullptr); - ASSERT_EQ(on_bundle.members, kernel == FlowPlacement::Weighted ? weighted_want : want) << "trial " << trial; - EXPECT_EQ(on_bundle.route, unmasked.route); - EXPECT_EQ(on_bundle.weights.size(), kernel == FlowPlacement::Weighted ? on_bundle.members.size() : 0U); - const Cost got_cost = route_cost(g, PredDAGBuilder::of_edges(g, prune(g, bundle, src, dsts, elig ? &*elig : nullptr)), src, dsts); + for (const auto kernel : {RouteAllocation::Equal, RouteAllocation::Weighted, RouteAllocation::Optimized}) { + const auto unmasked = prepare_route(g, kernel, Admission::Lossless, WeightSource {}, src, dsts, route_dag); + const auto restricted = restrict_prepared_route(g, unmasked, std::vector {src}, dsts, elig ? &*elig : nullptr); + ASSERT_EQ(restricted.forwarding_edges, kernel == RouteAllocation::Weighted ? weighted_want : want) << "trial " << trial; + EXPECT_EQ(restricted.support_edges, unmasked.support_edges); + EXPECT_EQ(restricted.weights.size(), kernel == RouteAllocation::Weighted ? restricted.forwarding_edges.size() : 0U); + const Cost got_cost = min_route_cost(g, PredecessorDAGBuilder::of_edges(g, prune(g, route_dag, src, dsts, elig ? &*elig : nullptr)), src, dsts); EXPECT_EQ(got_cost, want_cost) << "trial " << trial; EXPECT_EQ(prune(g, usable_dag, src, dsts), want); Cost plan_cost = -1; - const auto on_usable = make_plan(g, kernel, Admission::Lossless, WeightSource {}, src, dsts, usable_dag, &plan_cost); + const auto on_usable = prepare_route(g, kernel, Admission::Lossless, WeightSource {}, src, dsts, usable_dag, &plan_cost); // The same plan but for its route, which is the whole allowed DAG (plan_differences, // test_utils.hpp). - EXPECT_EQ(plan_differences(on_usable, on_bundle, false), std::vector {}) << "trial " << trial; + EXPECT_EQ(plan_differences(on_usable, restricted, false), std::vector {}) << "trial " << trial; // The plan built on the usable edges reports the same shortest-walk cost, and so does the // cost pass alone. EXPECT_EQ(plan_cost, want_cost) << "trial " << trial; - EXPECT_EQ(route_cost(g, usable_dag, src, dsts), want_cost) << "trial " << trial; - if (on_bundle.members.empty()) continue; + EXPECT_EQ(min_route_cost(g, usable_dag, src, dsts), want_cost) << "trial " << trial; + if (restricted.forwarding_edges.empty()) continue; // Topology: the source first, every member's tail before its head, members of a node // consecutive. - EXPECT_EQ(on_bundle.topo.front(), src); - for (std::size_t p = 0; p < on_bundle.topo.size(); ++p) { - for (auto k = on_bundle.out_begin[p]; k < on_bundle.out_end[p]; ++k) { - EXPECT_EQ(edge_src[static_cast(on_bundle.members[static_cast(k)])], on_bundle.topo[p]); - EXPECT_GT(on_bundle.head_pos[static_cast(k)], static_cast(p)); + EXPECT_EQ(restricted.topological_order.front(), src); + for (std::size_t p = 0; p < restricted.topological_order.size(); ++p) { + for (auto k = restricted.outgoing_begin[p]; k < restricted.outgoing_end[p]; ++k) { + EXPECT_EQ(edge_sources[static_cast(restricted.forwarding_edges[static_cast(k)])], restricted.topological_order[p]); + EXPECT_GT(restricted.edge_destination_positions[static_cast(k)], static_cast(p)); } } // Conservation: what enters the destinations is the total; and the per-node reference (node // ids are a topological order; the members in ascending EdgeId, Weighted's weights the - // capacities). MaxFlow places by the flow core, not by alloc(T). - if (kernel == FlowPlacement::MaxFlow) continue; + // capacities). Optimized places by the flow core, not by alloc(T). + if (kernel == RouteAllocation::Optimized) continue; std::vector> arcs; std::vector weights; - for (EdgeId e : on_bundle.members) { - arcs.emplace_back(edge_src[static_cast(e)], edge_dst[static_cast(e)]); - weights.push_back(kernel == FlowPlacement::Weighted ? capacity[static_cast(e)] : 1); + for (EdgeId e : restricted.forwarding_edges) { + arcs.emplace_back(edge_sources[static_cast(e)], edge_destinations[static_cast(e)]); + weights.push_back(kernel == RouteAllocation::Weighted ? capacity[static_cast(e)] : 1); } - std::vector a(on_bundle.members.size()); + std::vector a(restricted.forwarding_edges.size()); for (Amount t : {Amount {1}, Amount {7}, Amount {50}}) { - ASSERT_TRUE(allocate(on_bundle, t, a)); + ASSERT_TRUE(allocate(restricted, t, a)); Amount delivered = 0; for (std::size_t m = 0; m < a.size(); ++m) { - if (is_dst[static_cast(edge_dst[static_cast(on_bundle.members[m])])] != 0) { + if (is_dst[static_cast(edge_destinations[static_cast(restricted.forwarding_edges[m])])] != 0) { delivered += a[m]; } } @@ -802,8 +802,8 @@ TEST(Plans, SplitGraphEqualsTheWalkDefinition) { // What the single-destination tests below do not reach: a split at some node, with two // destinations or a source other than node 0. bool splits = false; - for (std::size_t p = 0; p < on_bundle.topo.size(); ++p) { - splits = splits || (on_bundle.terminal[p] == 0 && on_bundle.out_end[p] - on_bundle.out_begin[p] >= 2); + for (std::size_t p = 0; p < restricted.topological_order.size(); ++p) { + splits = splits || (restricted.is_destination[p] == 0 && restricted.outgoing_end[p] - restricted.outgoing_begin[p] >= 2); } splitting += splits && (dsts.size() > 1 || src != 0) ? 1 : 0; ++compared; @@ -824,10 +824,10 @@ TEST(Allocation, SplitAndReconvergeMatchesThePerNodeReferenceAtEveryValue) { for (std::size_t i = 0; i < dag.size(); ++i) edges.push_back({dag[i].first, dag[i].second, 20 * w[i], 1}); auto g = make_graph(6, edges); const auto view = to_ids(g, view_in); - for (auto kernel : {FlowPlacement::Weighted, FlowPlacement::EqualBalanced}) { - // The per-node reference on input positions (node ids are topological); EqualBalanced is the + for (auto kernel : {RouteAllocation::Weighted, RouteAllocation::Equal}) { + // The per-node reference on input positions (node ids are topological); Equal is the // sequential definition with equal weights (ties to the lower index). - const auto weights = kernel == FlowPlacement::EqualBalanced ? std::vector(w.size(), 1) : w; + const auto weights = kernel == RouteAllocation::Equal ? std::vector(w.size(), 1) : w; auto ref = [&](Amount total) { return per_node_reference(6, dag, weights, total); }; Amount brute = 0; for (Amount t = 0; t <= 100; ++t) { @@ -838,51 +838,51 @@ TEST(Allocation, SplitAndReconvergeMatchesThePerNodeReferenceAtEveryValue) { } const auto plan = plan_of(g, kernel, 0, {5}, all_ids(g), caps(g), WeightBasis::Capacity); const auto vm = on_members(plan, view); - std::vector own(plan.members.size(), 0); + std::vector own(plan.forwarding_edges.size(), 0); Amount total = 0; int steps = 0; while (true) { const auto step = lossless_step(g, plan, total, vm, own, 1); - if (step.total == total) break; + if (step.admitted == total) break; ++steps; - for (std::size_t m = 0; m < own.size(); ++m) ASSERT_GE(step.alloc[m], own[m]); // member-monotone - EXPECT_EQ(dense_input(g, plan, step.alloc), ref(step.total)); - total = step.total; - own = step.alloc; + for (std::size_t m = 0; m < own.size(); ++m) ASSERT_GE(step.edge_flows[m], own[m]); // member-monotone + EXPECT_EQ(dense_input(g, plan, step.edge_flows), ref(step.admitted)); + total = step.admitted; + own = step.edge_flows; } EXPECT_EQ(total, brute); - EXPECT_EQ(t_max(plan, vm).value, brute); + EXPECT_EQ(max_lossless_offer(plan, vm).value, brute); const auto one = first_step(g, plan, view, brute); - EXPECT_EQ(one.alloc, own); // one call of T_max equals the calls of 1 + EXPECT_EQ(one.edge_flows, own); // one call of T_max equals the calls of 1 EXPECT_GT(steps, 5); } } TEST(Allocation, EqualBalancedOnePlusTwoEqualsThree) { - // EqualBalanced on a DAG that splits three ways at the source and reconverges at node 4. + // Equal on a DAG that splits three ways at the source and reconverges at node 4. const std::vector> recon = {{0, 1}, {0, 2}, {0, 3}, {1, 4}, {2, 4}, {3, 4}, {4, 5}, {4, 6}, {5, 7}, {6, 7}}; std::vector edges; for (auto [u, v] : recon) edges.push_back({u, v, 100, 1}); auto g = make_graph(8, edges); - const auto plan = plan_of(g, FlowPlacement::EqualBalanced, 0, {7}, all_ids(g), caps(g)); + const auto plan = plan_of(g, RouteAllocation::Equal, 0, {7}, all_ids(g), caps(g)); const auto vm = on_members(plan, caps(g)); - std::vector own(plan.members.size(), 0); + std::vector own(plan.forwarding_edges.size(), 0); auto s1 = lossless_step(g, plan, 0, vm, own, 1); - EXPECT_EQ(dense_input(g, plan, s1.alloc), (std::vector{1, 0, 0, 1, 0, 0, 1, 0, 1, 0})); - auto s2 = lossless_step(g, plan, s1.total, vm, s1.alloc, 2); - EXPECT_EQ(dense_input(g, plan, s2.alloc), (std::vector{1, 1, 1, 1, 1, 1, 2, 1, 2, 1})); - EXPECT_EQ(first_step(g, plan, caps(g), 3).alloc, s2.alloc); + EXPECT_EQ(dense_input(g, plan, s1.edge_flows), (std::vector{1, 0, 0, 1, 0, 0, 1, 0, 1, 0})); + auto s2 = lossless_step(g, plan, s1.admitted, vm, s1.edge_flows, 2); + EXPECT_EQ(dense_input(g, plan, s2.edge_flows), (std::vector{1, 1, 1, 1, 1, 1, 2, 1, 2, 1})); + EXPECT_EQ(first_step(g, plan, caps(g), 3).edge_flows, s2.edge_flows); } TEST(Allocation, TMaxExactAgainstBruteForce) { // Random DAGs from node 0 to node n - 1 (node ids topological). The reference is independent of // the library: the members by the walk definition, alloc(T) node by node in id order, each // node's inflow split over its members in ascending EdgeId by the sequential definition - // (capacities as Weighted's weights, equal weights for EqualBalanced), and T_max the last T + // (capacities as Weighted's weights, equal weights for Equal), and T_max the last T // whose allocation fits the view (the allocation is member-monotone, so the fitting T are a // prefix). allocate() equals the reference at every T up to one past T_max, its limit answer - // agrees, and t_max returns that T. + // agrees, and max_lossless_offer returns that T. std::mt19937 rng(99); int several = 0; // plans whose T_max is at least 2 units for (int trial = 0; trial < 400; ++trial) { @@ -892,26 +892,26 @@ TEST(Allocation, TMaxExactAgainstBruteForce) { [&] { return 1 + static_cast(rng() % 9); }, [] { return Cost {1}; })); std::vector view(static_cast(g.num_edges())); for (std::size_t e = 0; e < view.size(); ++e) { - view[e] = static_cast(rng() % static_cast(g.capacity_units()[e] + 1)); + view[e] = static_cast(rng() % static_cast(g.edge_capacity_units()[e] + 1)); } - const auto kernel = (rng() % 2) == 0 ? FlowPlacement::Weighted : FlowPlacement::EqualBalanced; + const auto kernel = (rng() % 2) == 0 ? RouteAllocation::Weighted : RouteAllocation::Equal; const auto plan = plan_of(g, kernel, 0, {n - 1}, all_ids(g), caps(g), WeightBasis::Capacity); - ASSERT_EQ(plan.members, walk_members(g, all_ids(g), 0, {n - 1})) << "trial " << trial; - if (plan.members.empty()) continue; + ASSERT_EQ(plan.forwarding_edges, walk_members(g, all_ids(g), 0, {n - 1})) << "trial " << trial; + if (plan.forwarding_edges.empty()) continue; // The members as arcs in ascending EdgeId, with their weights. std::vector> arcs; std::vector weights; - for (EdgeId m : plan.members) { + for (EdgeId m : plan.forwarding_edges) { const auto e = static_cast(m); - arcs.emplace_back(g.edge_src()[e], g.edge_dst()[e]); - weights.push_back(kernel == FlowPlacement::Weighted ? g.capacity_units()[e] : 1); + arcs.emplace_back(g.edge_sources()[e], g.edge_destinations()[e]); + weights.push_back(kernel == RouteAllocation::Weighted ? g.edge_capacity_units()[e] : 1); } auto reference = [&](Amount total) { return per_node_reference(n, arcs, weights, total); }; const auto vm = on_members(plan, view); - const auto tm = t_max(plan, vm); - EXPECT_LE(tm.iterations, 62); + const auto tm = max_lossless_offer(plan, vm); + EXPECT_LE(tm.probes, 62); Amount brute = -1; - std::vector a(plan.members.size()), limited(plan.members.size()); + std::vector a(plan.forwarding_edges.size()), limited(plan.forwarding_edges.size()); for (Amount t = 0; t <= 200; ++t) { const auto want = reference(t); bool fits = true; @@ -951,28 +951,28 @@ TEST(Allocation, TMaxSearchIsExactAndWithinTheProbeBudgetOnLargeRanges) { [] { return Cost {1}; })); std::vector view(static_cast(g.num_edges())); for (std::size_t e = 0; e < view.size(); ++e) { - const Amount c = g.capacity_units()[e]; + const Amount c = g.edge_capacity_units()[e]; view[e] = (rng() % 4) == 0 ? static_cast(rng() % 3) : static_cast(rng() % static_cast(c + 1)); } - const auto kernel = (rng() % 2) == 0 ? FlowPlacement::Weighted : FlowPlacement::EqualBalanced; + const auto kernel = (rng() % 2) == 0 ? RouteAllocation::Weighted : RouteAllocation::Equal; const auto plan = plan_of(g, kernel, 0, {n - 1}, all_ids(g), caps(g), WeightBasis::Capacity); - if (plan.members.empty()) continue; + if (plan.forwarding_edges.empty()) continue; const auto vm = on_members(plan, view); - const auto tm = t_max(plan, vm); - EXPECT_LE(tm.iterations, 62); + const auto tm = max_lossless_offer(plan, vm); + EXPECT_LE(tm.probes, 62); // Reference: each node splits by exact quotient rank, then plain bisection over feasible // totals. No production allocation or search is used to compute an expected amount. Amount hi = 0; - const auto root = static_cast(plan.root_pos.front()); - for (auto k = plan.out_begin[root]; k < plan.out_end[root]; ++k) hi += vm[static_cast(k)]; + const auto root = static_cast(plan.source_positions.front()); + for (auto k = plan.outgoing_begin[root]; k < plan.outgoing_end[root]; ++k) hi += vm[static_cast(k)]; const Amount source_side = hi; - ASSERT_EQ(plan.members, walk_members(g, all_ids(g), 0, {n - 1})); + ASSERT_EQ(plan.forwarding_edges, walk_members(g, all_ids(g), 0, {n - 1})); std::vector> arcs; std::vector weights; - for (EdgeId edge : plan.members) { + for (EdgeId edge : plan.forwarding_edges) { const auto e = static_cast(edge); - arcs.emplace_back(g.edge_src()[e], g.edge_dst()[e]); - weights.push_back(kernel == FlowPlacement::Weighted ? g.capacity_units()[e] : 1); + arcs.emplace_back(g.edge_sources()[e], g.edge_destinations()[e]); + weights.push_back(kernel == RouteAllocation::Weighted ? g.edge_capacity_units()[e] : 1); } Amount lo = 0; while (lo < hi) { @@ -984,10 +984,10 @@ TEST(Allocation, TMaxSearchIsExactAndWithinTheProbeBudgetOnLargeRanges) { } ASSERT_EQ(tm.value, lo) << "trial " << trial; // The Lossless step from T = 0 with a request beyond the maximum lands on the same T. - const std::vector zero(plan.members.size(), 0); + const std::vector zero(plan.forwarding_edges.size(), 0); const auto step = lossless_step(g, plan, 0, vm, zero, kDomainLimit - 1); - EXPECT_EQ(step.total, lo); - EXPECT_LE(step.iterations, 62); + EXPECT_EQ(step.admitted, lo); + EXPECT_LE(step.probes, 62); large += lo >= (Amount {1} << 40) ? 1 : 0; far += source_side >= (Amount {1} << 40) && lo <= (source_side >> 20) ? 1 : 0; } @@ -1003,17 +1003,17 @@ TEST(MaxFlowKernel, CancellationDagGivesTwo) { std::vector edges; for (auto [u, v] : pairs) edges.push_back({u, v, 1, 1}); auto g = make_graph(6, edges); - const auto plan = plan_of(g, FlowPlacement::MaxFlow, 0, {5}, all_ids(g), caps(g)); + const auto plan = plan_of(g, RouteAllocation::Optimized, 0, {5}, all_ids(g), caps(g)); auto s1 = first_step(g, plan, caps(g), 1); - EXPECT_EQ(dense_input(g, plan, s1.alloc), (std::vector{1, 0, 1, 0, 0, 1, 0})); + EXPECT_EQ(dense_input(g, plan, s1.edge_flows), (std::vector{1, 0, 1, 0, 0, 1, 0})); // The flow's own allocation is in its view (W + own = capacities here). - auto s2 = lossless_step(g, plan, s1.total, on_members(plan, caps(g)), s1.alloc, 1); - EXPECT_EQ(s2.total, 2); - EXPECT_EQ(dense_input(g, plan, s2.alloc), (std::vector{1, 1, 0, 1, 1, 1, 1})); - auto s3 = lossless_step(g, plan, s2.total, on_members(plan, caps(g)), s2.alloc, 1); - EXPECT_EQ(s3.total, 2); - EXPECT_EQ(first_step(g, plan, caps(g), 2).alloc, s2.alloc); - EXPECT_EQ(first_step(g, plan, caps(g), std::nullopt).total, 2); + auto s2 = lossless_step(g, plan, s1.admitted, on_members(plan, caps(g)), s1.edge_flows, 1); + EXPECT_EQ(s2.admitted, 2); + EXPECT_EQ(dense_input(g, plan, s2.edge_flows), (std::vector{1, 1, 0, 1, 1, 1, 1})); + auto s3 = lossless_step(g, plan, s2.admitted, on_members(plan, caps(g)), s2.edge_flows, 1); + EXPECT_EQ(s3.admitted, 2); + EXPECT_EQ(first_step(g, plan, caps(g), 2).edge_flows, s2.edge_flows); + EXPECT_EQ(first_step(g, plan, caps(g), std::nullopt).admitted, 2); } namespace { @@ -1028,23 +1028,23 @@ std::vector cancel_edges(Cost b_to_y = 9) { TEST(MaxFlowKernel, CancelUpstreamMixedCost) { auto g = make_graph(7, cancel_edges()); - const auto plan = plan_of(g, FlowPlacement::MaxFlow, 0, {6}, all_ids(g), caps(g)); + const auto plan = plan_of(g, RouteAllocation::Optimized, 0, {6}, all_ids(g), caps(g)); const std::vector final_alloc = {1, 1, 1, 0, 1, 1, 0, 1, 2, 1}; auto one = first_step(g, plan, caps(g), 3); - EXPECT_EQ(dense_input(g, plan, one.alloc), final_alloc); + EXPECT_EQ(dense_input(g, plan, one.edge_flows), final_alloc); // The sequence 1, 1, 1 with the third call cancelling A->X upstream (a signed delta). const std::vector> seq = { {0, 1, 0, 0, 0, 1, 0, 0, 1, 0}, {1, 1, 0, 1, 0, 1, 0, 0, 2, 0}, final_alloc}; - std::vector own(plan.members.size(), 0); + std::vector own(plan.forwarding_edges.size(), 0); Amount total = 0; for (const auto& want : seq) { auto s = lossless_step(g, plan, total, on_members(plan, caps(g)), own, 1); - EXPECT_EQ(s.total, total + 1); - EXPECT_EQ(dense_input(g, plan, s.alloc), want); - total = s.total; - own = s.alloc; + EXPECT_EQ(s.admitted, total + 1); + EXPECT_EQ(dense_input(g, plan, s.edge_flows), want); + total = s.admitted; + own = s.edge_flows; } - // The minimum cost over the bundle: curve (3, 1), (4, 1), (12, 1) totals 19. + // The minimum cost over the route: curve (3, 1), (4, 1), (12, 1) totals 19. Cost cost = 0; const auto a = dense_input(g, plan, own); for (std::size_t i = 0; i < a.size(); ++i) cost += a[i] * cancel_edges()[i].cost; @@ -1056,39 +1056,39 @@ TEST(MaxFlowKernel, EqualOptimaFollowTheAscendingEdgeIdOrder) { // with cost(B->Y) = 8 two value-3 optima cost 19; ascending arcs pick the // flow with Y fed by A, so a later demand on A->X still finds its unit. auto g = make_graph(7, cancel_edges(8)); - const auto plan = plan_of(g, FlowPlacement::MaxFlow, 0, {6}, all_ids(g), caps(g)); + const auto plan = plan_of(g, RouteAllocation::Optimized, 0, {6}, all_ids(g), caps(g)); auto s = first_step(g, plan, caps(g), 3); - EXPECT_EQ(dense_input(g, plan, s.alloc), (std::vector{1, 1, 1, 0, 1, 1, 0, 1, 2, 1})); + EXPECT_EQ(dense_input(g, plan, s.edge_flows), (std::vector{1, 1, 1, 0, 1, 1, 0, 1, 2, 1})); } TEST(MaxFlowKernel, ReleaseWitnessAndMixedCostBundle) { // Release witness: two parallel links of cost 4 and 2; the cheap one is held by another owner // at the first call (the flow takes cost 4); after the release the re-solve on the new view - // moves the unit to the cheap link (placed 0 in that call, allocation moved). + // moves the unit to the cheap link (0 delivered in that call, allocation moved). auto g = make_graph(2, {{0, 1, 1, 4}, {0, 1, 1, 2}}); - const auto plan = plan_of(g, FlowPlacement::MaxFlow, 0, {1}, all_ids(g), caps(g)); + const auto plan = plan_of(g, RouteAllocation::Optimized, 0, {1}, all_ids(g), caps(g)); const auto held = to_ids(g, std::vector {1, 0}); auto s1 = first_step(g, plan, held, 1); - EXPECT_EQ(dense_input(g, plan, s1.alloc), (std::vector{1, 0})); + EXPECT_EQ(dense_input(g, plan, s1.edge_flows), (std::vector{1, 0})); const auto released = to_ids(g, std::vector {0, 1}); // W after the release; own adds 1 on cost 4 - std::vector v(plan.members.size()); - for (std::size_t m = 0; m < v.size(); ++m) v[m] = released[static_cast(plan.members[m])] + s1.alloc[m]; - auto s2 = lossless_step(g, plan, 1, v, s1.alloc, 1); - EXPECT_EQ(s2.total, 2); + std::vector v(plan.forwarding_edges.size()); + for (std::size_t m = 0; m < v.size(); ++m) v[m] = released[static_cast(plan.forwarding_edges[m])] + s1.edge_flows[m]; + auto s2 = lossless_step(g, plan, 1, v, s1.edge_flows, 1); + EXPECT_EQ(s2.admitted, 2); // Request 0 more is never sent; a capped re-solve at the same T moves the unit (cost 2). - auto s3 = lossless_step(g, plan, 1, v, s1.alloc, 0); - EXPECT_EQ(s3.total, 1); - EXPECT_EQ(dense_input(g, plan, s3.alloc), (std::vector{0, 1})); - // On a mixed-cost bundle the 1 + 1 + 1 chain fills before the cost-4 edge. + auto s3 = lossless_step(g, plan, 1, v, s1.edge_flows, 0); + EXPECT_EQ(s3.admitted, 1); + EXPECT_EQ(dense_input(g, plan, s3.edge_flows), (std::vector{0, 1})); + // On a mixed-cost route the 1 + 1 + 1 chain fills before the cost-4 edge. auto g2 = make_graph(4, {{0, 1, 1, 1}, {1, 2, 1, 1}, {2, 3, 1, 1}, {0, 3, 1, 4}}); - const auto p2 = plan_of(g2, FlowPlacement::MaxFlow, 0, {3}, all_ids(g2), caps(g2)); - EXPECT_EQ(dense_input(g2, p2, first_step(g2, p2, caps(g2), 1).alloc), (std::vector{1, 1, 1, 0})); + const auto p2 = plan_of(g2, RouteAllocation::Optimized, 0, {3}, all_ids(g2), caps(g2)); + EXPECT_EQ(dense_input(g2, p2, first_step(g2, p2, caps(g2), 1).edge_flows), (std::vector{1, 1, 1, 0})); EXPECT_EQ(cost_of(g2, p2), 3); } namespace { -// The certificate of one MaxFlow-kernel step, independent of the solver: the step's member +// The certificate of one Optimized-kernel step, independent of the solver: the step's member // allocation, as a flow on the graph with the members' view and every other edge masked, is // feasible and conserved from the plan's source to its destinations, has the value // min(total + request, F_max) (the maximum for a request of +inf) and the minimum cost at that @@ -1098,11 +1098,11 @@ namespace { // checker relies on the members lying on walks from the source to its destinations, which end // there, so that no member enters the source or leaves a destination: the random test below // checks each plan's members against that walk definition first. Returns the failed clauses. -std::vector certify_step(const Graph& g, const KernelPlan& plan, const std::vector& view_m, +std::vector certify_step(const Graph& g, const PreparedRoute& plan, const std::vector& view_m, Amount total, std::optional request, const LosslessStep& step, bool tier_a) { std::vector fails; - if (step.alloc.size() != plan.members.size()) { + if (step.edge_flows.size() != plan.forwarding_edges.size()) { fails.push_back("shape"); return fails; } @@ -1111,12 +1111,12 @@ std::vector certify_step(const Graph& g, const KernelPlan& plan, co std::vector view(m, 0); std::vector flow(m, 0); std::vector member(m, 0); - for (std::size_t k = 0; k < plan.members.size(); ++k) { - const auto e = static_cast(plan.members[k]); + for (std::size_t k = 0; k < plan.forwarding_edges.size(); ++k) { + const auto e = static_cast(plan.forwarding_edges[k]); member[e] = 1; view[e] = view_m[k]; - flow[e] = step.alloc[k]; - if (step.alloc[k] < 0 || step.alloc[k] > view_m[k]) fails.push_back("feasibility at member " + std::to_string(k)); + flow[e] = step.edge_flows[k]; + if (step.edge_flows[k] < 0 || step.edge_flows[k] > view_m[k]) fails.push_back("feasibility at member " + std::to_string(k)); } std::vector outside; for (std::size_t e = 0; e < m; ++e) { @@ -1125,22 +1125,22 @@ std::vector certify_step(const Graph& g, const KernelPlan& plan, co const auto mask = g.eligibility({}, outside); std::vector bal(n, 0); for (std::size_t e = 0; e < m; ++e) { - bal[static_cast(g.edge_src()[e])] -= flow[e]; - bal[static_cast(g.edge_dst()[e])] += flow[e]; + bal[static_cast(g.edge_sources()[e])] -= flow[e]; + bal[static_cast(g.edge_destinations()[e])] += flow[e]; } const Int128 moment = flow_cost(g, flow); - const std::vector src(plan.roots.begin(), plan.roots.end()); - const std::vector dsts(plan.dsts.begin(), plan.dsts.end()); + const std::vector src(plan.sources.begin(), plan.sources.end()); + const std::vector dsts(plan.destinations.begin(), plan.destinations.end()); Int128 inflow = 0; for (std::size_t v = 0; v < n; ++v) { - if (static_cast(v) == plan.roots.front()) continue; + if (static_cast(v) == plan.sources.front()) continue; if (std::find(dsts.begin(), dsts.end(), static_cast(v)) != dsts.end()) { inflow += bal[v]; } else if (bal[v] != 0) { fails.push_back("conservation at node " + std::to_string(v)); } } - if (-bal[static_cast(plan.roots.front())] != step.total || inflow != step.total) { + if (-bal[static_cast(plan.sources.front())] != step.admitted || inflow != step.admitted) { fails.push_back("value differs from supply or inflow"); } // The optimum's cost at every value up to F_max, as breakpoints. @@ -1152,12 +1152,12 @@ std::vector certify_step(const Graph& g, const KernelPlan& plan, co } const Amount fmax = optimum.back().first; const Amount top = request.has_value() ? std::min(total + *request, fmax) : fmax; - if (step.total != top) fails.push_back("placed differs from min(cap, F_max)"); - if (step.total >= 0 && step.total <= fmax && moment != curve_at(optimum, step.total)) { + if (step.admitted != top) fails.push_back("placed differs from min(cap, F_max)"); + if (step.admitted >= 0 && step.admitted <= fmax && moment != curve_at(optimum, step.admitted)) { fails.push_back("cost differs from the optimum"); } - const auto pts = curve_shape_clauses(step.cost_distribution, step.total, moment, fails); - curve_optimum_clause(pts, optimum, std::min(step.total, fmax), "the optimum", fails); + const auto pts = curve_shape_clauses(step.marginal_cost_curve, step.admitted, moment, fails); + curve_optimum_clause(pts, optimum, std::min(step.admitted, fmax), "the optimum", fails); return fails; } @@ -1167,7 +1167,7 @@ TEST(MaxFlowKernel, StepCertificateRejectsMutatedSteps) { // The step certificate is not vacuous: each clean step certifies, then each mutation is rejected // by the clause it breaks. using Fails = std::vector; - auto mutated = [](const Graph& g, const KernelPlan& plan, std::optional request, + auto mutated = [](const Graph& g, const PreparedRoute& plan, std::optional request, const std::function& mutate) { const auto vm = on_members(plan, caps(g)); auto step = first_step(g, plan, caps(g), request); @@ -1177,14 +1177,14 @@ TEST(MaxFlowKernel, StepCertificateRejectsMutatedSteps) { }; // The chain 0 -> 1 -> 2 of capacity 2: two units, members in chain order. const auto chain = make_graph(3, {{0, 1, 2, 1}, {1, 2, 2, 1}}); - const auto cp = plan_of(chain, FlowPlacement::MaxFlow, 0, {2}, all_ids(chain), caps(chain)); - ASSERT_EQ(cp.members.size(), 2U); - EXPECT_EQ(mutated(chain, cp, std::nullopt, [](auto& s) { s.alloc.push_back(0); }), Fails {"shape"}); - EXPECT_TRUE(has_failure(mutated(chain, cp, std::nullopt, [](auto& s) { s.alloc = {3, 3}; }), "feasibility at member 0")); - EXPECT_TRUE(has_failure(mutated(chain, cp, std::nullopt, [](auto& s) { s.alloc = {-1, -1}; }), "feasibility at member 0")); + const auto cp = plan_of(chain, RouteAllocation::Optimized, 0, {2}, all_ids(chain), caps(chain)); + ASSERT_EQ(cp.forwarding_edges.size(), 2U); + EXPECT_EQ(mutated(chain, cp, std::nullopt, [](auto& s) { s.edge_flows.push_back(0); }), Fails {"shape"}); + EXPECT_TRUE(has_failure(mutated(chain, cp, std::nullopt, [](auto& s) { s.edge_flows = {3, 3}; }), "feasibility at member 0")); + EXPECT_TRUE(has_failure(mutated(chain, cp, std::nullopt, [](auto& s) { s.edge_flows = {-1, -1}; }), "feasibility at member 0")); // One unit less into node 1 lowers the supply only, one unit less out of it the inflow only. for (const std::size_t k : {std::size_t {0}, std::size_t {1}}) { - const auto f = mutated(chain, cp, std::nullopt, [&](auto& s) { s.alloc[k] = 1; }); + const auto f = mutated(chain, cp, std::nullopt, [&](auto& s) { s.edge_flows[k] = 1; }); EXPECT_TRUE(has_failure(f, "conservation at node 1")) << k; EXPECT_TRUE(has_failure(f, "value differs from supply or inflow")) << k; } @@ -1199,29 +1199,29 @@ TEST(MaxFlowKernel, StepCertificateRejectsMutatedSteps) { // last volume raised breaks its total; its first cost raised breaks its moment; the one tier // [(2, 2)] keeps the total and the moment but not the optimum at 1. const auto par = make_graph(2, {{0, 1, 1, 1}, {0, 1, 1, 3}}); - const auto pp = plan_of(par, FlowPlacement::MaxFlow, 0, {1}, all_ids(par), caps(par)); - ASSERT_EQ(pp.members.size(), 2U); - EXPECT_TRUE(has_failure(mutated(par, pp, 1, [](auto& s) { s.alloc = {0, 1}; }), "cost differs from the optimum")); - EXPECT_TRUE(has_failure(mutated(par, pp, std::nullopt, [](auto& s) { s.cost_distribution = {{1, 1}, {3, 2}}; }), + const auto pp = plan_of(par, RouteAllocation::Optimized, 0, {1}, all_ids(par), caps(par)); + ASSERT_EQ(pp.forwarding_edges.size(), 2U); + EXPECT_TRUE(has_failure(mutated(par, pp, 1, [](auto& s) { s.edge_flows = {0, 1}; }), "cost differs from the optimum")); + EXPECT_TRUE(has_failure(mutated(par, pp, std::nullopt, [](auto& s) { s.marginal_cost_curve = {{1, 1}, {3, 2}}; }), "curve total differs from placed")); - EXPECT_TRUE(has_failure(mutated(par, pp, std::nullopt, [](auto& s) { s.cost_distribution = {{2, 1}, {3, 1}}; }), + EXPECT_TRUE(has_failure(mutated(par, pp, std::nullopt, [](auto& s) { s.marginal_cost_curve = {{2, 1}, {3, 1}}; }), "curve moment differs from the flow cost")); - EXPECT_EQ(mutated(par, pp, std::nullopt, [](auto& s) { s.cost_distribution = {{2, 2}}; }), + EXPECT_EQ(mutated(par, pp, std::nullopt, [](auto& s) { s.marginal_cost_curve = {{2, 2}}; }), Fails {"curve differs from the optimum at 1"}); // The curve's shape, each the only failure: an entry of volume 0 between the two (total, moment // and the curve's values unchanged), and the chain's one tier [(2, 2)] split in two at its cost. - EXPECT_EQ(mutated(par, pp, std::nullopt, [](auto& s) { s.cost_distribution = {{1, 1}, {2, 0}, {3, 1}}; }), + EXPECT_EQ(mutated(par, pp, std::nullopt, [](auto& s) { s.marginal_cost_curve = {{1, 1}, {2, 0}, {3, 1}}; }), Fails {"curve volume not positive"}); - EXPECT_EQ(mutated(chain, cp, std::nullopt, [](auto& s) { s.cost_distribution = {{2, 1}, {2, 1}}; }), + EXPECT_EQ(mutated(chain, cp, std::nullopt, [](auto& s) { s.marginal_cost_curve = {{2, 1}, {2, 1}}; }), Fails {"curve costs not strictly increasing"}); // The guard of the replacement solve: a committed total beyond what the view can carry. const auto vm = on_members(pp, caps(par)); - const std::vector own(pp.members.size(), 0); + const std::vector own(pp.forwarding_edges.size(), 0); try { (void)lossless_step(par, pp, 3, vm, own, 1); ADD_FAILURE() << "no exception"; } catch (const std::logic_error& e) { - EXPECT_STREQ(e.what(), "MaxFlow kernel: the replacement solve lost committed flow"); + EXPECT_STREQ(e.what(), "Optimized kernel: the replacement solve lost committed flow"); } } @@ -1241,10 +1241,10 @@ TEST(MaxFlowKernel, RandomStepsAreCertifiedOnTheirSubset) { const int n = tier_a ? 3 + static_cast(rng() % 4) : 6 + static_cast(rng() % 9); const int m = tier_a ? 3 + static_cast(rng() % 5) : n + static_cast(rng() % (2 * n)); const Amount max_cap = tier_a ? 2 : 40; - const Cost max_cost = tier_a ? 6 : 40; + const Cost max_edge_cost = tier_a ? 6 : 40; const auto edges = random_dag_edges( rng, n, m, [&] { return static_cast(rng() % static_cast(max_cap + 1)); }, - [&] { return static_cast(1 + rng() % static_cast(max_cost)); }); + [&] { return static_cast(1 + rng() % static_cast(max_edge_cost)); }); const auto g = make_graph(n, edges); auto scaled_edges = edges; for (auto& e : scaled_edges) e.cost *= 1000003; @@ -1255,16 +1255,16 @@ TEST(MaxFlowKernel, RandomStepsAreCertifiedOnTheirSubset) { } std::vector dsts = {n - 1}; if (rng() % 2 == 0) dsts.insert(dsts.begin(), n - 2); - const auto plan = plan_of(g, FlowPlacement::MaxFlow, 0, dsts, route, caps(g)); - ASSERT_EQ(plan.members, walk_members(g, route, 0, dsts)) << "trial " << trial; // every route edge on a walk - const auto scaled_plan = plan_of(scaled, FlowPlacement::MaxFlow, 0, dsts, route, caps(scaled)); - ASSERT_EQ(scaled_plan.members, plan.members) << "trial " << trial; // scaling keeps the EdgeId order - std::vector own(plan.members.size(), 0); + const auto plan = plan_of(g, RouteAllocation::Optimized, 0, dsts, route, caps(g)); + ASSERT_EQ(plan.forwarding_edges, walk_members(g, route, 0, dsts)) << "trial " << trial; // every route edge on a walk + const auto scaled_plan = plan_of(scaled, RouteAllocation::Optimized, 0, dsts, route, caps(scaled)); + ASSERT_EQ(scaled_plan.forwarding_edges, plan.forwarding_edges) << "trial " << trial; // scaling keeps the EdgeId order + std::vector own(plan.forwarding_edges.size(), 0); Amount total = 0; for (int k = 0; k < 3; ++k) { - std::vector vm(plan.members.size()); + std::vector vm(plan.forwarding_edges.size()); for (std::size_t j = 0; j < vm.size(); ++j) { - const Amount cap = g.capacity_units()[static_cast(plan.members[j])]; + const Amount cap = g.edge_capacity_units()[static_cast(plan.forwarding_edges[j])]; vm[j] = own[j] + static_cast(rng() % static_cast(cap - own[j] + 1)); } const std::uint64_t kind = rng() % 4; @@ -1275,25 +1275,25 @@ TEST(MaxFlowKernel, RandomStepsAreCertifiedOnTheirSubset) { const auto fails = certify_step(g, plan, vm, total, request, step, tier_a); ASSERT_TRUE(fails.empty()) << where << ": " << fails.front(); const auto other = lossless_step(scaled, scaled_plan, total, vm, own, request); - ASSERT_EQ(other.total, step.total) << where; - ASSERT_EQ(other.alloc, step.alloc) << where; - ASSERT_EQ(other.cost_distribution.size(), step.cost_distribution.size()) << where; - for (std::size_t i = 0; i < step.cost_distribution.size(); ++i) { - ASSERT_EQ(other.cost_distribution[i].first, step.cost_distribution[i].first * 1000003) << where; - ASSERT_EQ(other.cost_distribution[i].second, step.cost_distribution[i].second) << where; + ASSERT_EQ(other.admitted, step.admitted) << where; + ASSERT_EQ(other.edge_flows, step.edge_flows) << where; + ASSERT_EQ(other.marginal_cost_curve.size(), step.marginal_cost_curve.size()) << where; + for (std::size_t i = 0; i < step.marginal_cost_curve.size(); ++i) { + ASSERT_EQ(other.marginal_cost_curve[i].first, step.marginal_cost_curve[i].first * 1000003) << where; + ASSERT_EQ(other.marginal_cost_curve[i].second, step.marginal_cost_curve[i].second) << where; } - positive += step.total > 0 ? 1 : 0; + positive += step.admitted > 0 ? 1 : 0; const Amount fmax = independent_curve(g, [&] { std::vector view(static_cast(g.num_edges()), 0); - for (std::size_t j = 0; j < vm.size(); ++j) view[static_cast(plan.members[j])] = vm[j]; + for (std::size_t j = 0; j < vm.size(); ++j) view[static_cast(plan.forwarding_edges[j])] = vm[j]; return view; }(), std::vector {0}, dsts, nullptr).back().first; - capped += request.has_value() && step.total < fmax ? 1 : 0; + capped += request.has_value() && step.admitted < fmax ? 1 : 0; bool took_back = false; - for (std::size_t j = 0; j < own.size(); ++j) took_back = took_back || step.alloc[j] < own[j]; + for (std::size_t j = 0; j < own.size(); ++j) took_back = took_back || step.edge_flows[j] < own[j]; cancelled += took_back ? 1 : 0; - own = step.alloc; - total = step.total; + own = step.edge_flows; + total = step.admitted; } } EXPECT_GT(positive, 240); @@ -1307,93 +1307,93 @@ TEST(WeightedKernel, CapacityVersusResidualMembershipAfterOccupancy) { auto g = make_graph(2, {{0, 1, 4, 1}, {0, 1, 4, 1}}); auto run = [&](WeightBasis prio, std::vector residual_in, Amount request) { const auto w = to_ids(g, residual_in); - const auto plan = plan_of(g, FlowPlacement::Weighted, 0, {1}, all_ids(g), w, prio); + const auto plan = plan_of(g, RouteAllocation::Weighted, 0, {1}, all_ids(g), w, prio); auto s = first_step(g, plan, w, request); - return std::make_pair(s.total, dense_input(g, plan, s.alloc)); + return std::make_pair(s.admitted, dense_input(g, plan, s.edge_flows)); }; EXPECT_EQ(run(WeightBasis::ResidualSnapshot, {1, 4}, 5), std::make_pair(Amount {5}, std::vector{1, 4})); EXPECT_EQ(run(WeightBasis::Capacity, {1, 4}, 5), std::make_pair(Amount {2}, std::vector{1, 1})); EXPECT_EQ(run(WeightBasis::ResidualSnapshot, {0, 4}, 5), std::make_pair(Amount {4}, std::vector{0, 4})); EXPECT_EQ(run(WeightBasis::Capacity, {0, 4}, 5), std::make_pair(Amount {0}, std::vector{0, 0})); - // Frozen plans after the owner leaves: Capacity grows to 5 as [3, 2]; Residual stays at 4. + // Frozen plans after the owner leaves: Capacity grows to 5 as [3, 2]; ResidualSnapshot stays at 4. const auto held = to_ids(g, std::vector {0, 4}); const auto free = to_ids(g, std::vector {4, 4}); - const auto pc = plan_of(g, FlowPlacement::Weighted, 0, {1}, all_ids(g), held, WeightBasis::Capacity); - auto c = lossless_step(g, pc, 0, on_members(pc, free), std::vector(pc.members.size(), 0), 5); - EXPECT_EQ(dense_input(g, pc, c.alloc), (std::vector{3, 2})); - const auto pr = plan_of(g, FlowPlacement::Weighted, 0, {1}, all_ids(g), held, WeightBasis::ResidualSnapshot); + const auto pc = plan_of(g, RouteAllocation::Weighted, 0, {1}, all_ids(g), held, WeightBasis::Capacity); + auto c = lossless_step(g, pc, 0, on_members(pc, free), std::vector(pc.forwarding_edges.size(), 0), 5); + EXPECT_EQ(dense_input(g, pc, c.edge_flows), (std::vector{3, 2})); + const auto pr = plan_of(g, RouteAllocation::Weighted, 0, {1}, all_ids(g), held, WeightBasis::ResidualSnapshot); auto first = first_step(g, pr, held, 5); // After the release V = W + own on the one member is its capacity 4. - auto again = lossless_step(g, pr, first.total, on_members(pr, free), first.alloc, 5); - EXPECT_EQ(again.total, 4); // the plan has one member; weights never renormalised + auto again = lossless_step(g, pr, first.admitted, on_members(pr, free), first.edge_flows, 5); + EXPECT_EQ(again.admitted, 4); // the plan has one member; weights never renormalised } TEST(WeightedKernel, OnePlusFiveEqualsSix) { // Additivity on a fixed plan (place(1) then place(5) equals place(6)): weights 2 and 6 at the // source. auto g = make_graph(3, {{0, 1, 2, 1}, {0, 2, 6, 1}, {1, 2, 9, 1}}); - const auto plan = plan_of(g, FlowPlacement::Weighted, 0, {2}, all_ids(g), caps(g), WeightBasis::Capacity); + const auto plan = plan_of(g, RouteAllocation::Weighted, 0, {2}, all_ids(g), caps(g), WeightBasis::Capacity); const auto vm = on_members(plan, caps(g)); - std::vector zero(plan.members.size(), 0); + std::vector zero(plan.forwarding_edges.size(), 0); auto a = lossless_step(g, plan, 0, vm, zero, 1); - auto b = lossless_step(g, plan, a.total, vm, a.alloc, 5); + auto b = lossless_step(g, plan, a.admitted, vm, a.edge_flows, 5); auto c = lossless_step(g, plan, 0, vm, zero, 6); // By hand, D'Hondt over the source weights [2, 6] (each unit to the larger w / (a + 1), ties to // the lower index): the first unit to 0 -> 2; 6 units give [1, 5] (the third unit is the tie // 2 / 1 = 6 / 3), and node 1 passes its unit on over 1 -> 2. Every amount fits its capacity, // so all 6 are placed. - EXPECT_EQ(dense_input(g, plan, a.alloc), (std::vector{0, 1, 0})); - EXPECT_EQ(c.total, 6); - EXPECT_EQ(dense_input(g, plan, c.alloc), (std::vector{1, 5, 1})); - EXPECT_EQ(b.total, c.total); - EXPECT_EQ(b.alloc, c.alloc); + EXPECT_EQ(dense_input(g, plan, a.edge_flows), (std::vector{0, 1, 0})); + EXPECT_EQ(c.admitted, 6); + EXPECT_EQ(dense_input(g, plan, c.edge_flows), (std::vector{1, 5, 1})); + EXPECT_EQ(b.admitted, c.admitted); + EXPECT_EQ(b.edge_flows, c.edge_flows); } TEST(LossyKernel, DiamondDropsAndInfiniteInjection) { // A Lossy diamond: source links 10/10, tails 1/10. auto g = make_graph(4, {{0, 1, 10, 1}, {0, 2, 10, 1}, {1, 3, 1, 1}, {2, 3, 10, 1}}); - for (auto kernel : {FlowPlacement::EqualBalanced, FlowPlacement::Weighted}) { + for (auto kernel : {RouteAllocation::Equal, RouteAllocation::Weighted}) { const auto plan = plan_of(g, kernel, 0, {3}, all_ids(g), caps(g), WeightBasis::ResidualSnapshot, Admission::Lossy); auto w = on_members(plan, caps(g)); auto s = lossy_step(plan, 10, w); EXPECT_EQ(s.offered, 10); - EXPECT_EQ(s.injected, 10); + EXPECT_EQ(s.network_entered, 10); EXPECT_EQ(s.delivered, 6); - EXPECT_EQ(dense_input(g, plan, s.carried), (std::vector{5, 5, 1, 5})); - EXPECT_EQ(dense_input(g, plan, s.drops), (std::vector{0, 0, 4, 0})); + EXPECT_EQ(dense_input(g, plan, s.edge_flows), (std::vector{5, 5, 1, 5})); + EXPECT_EQ(dense_input(g, plan, s.edge_drops), (std::vector{0, 0, 4, 0})); // Infinite offer: every source member injected to its residual. auto inf = lossy_step(plan, std::nullopt, w); EXPECT_EQ(inf.offered, 20); EXPECT_EQ(inf.delivered, 11); - EXPECT_EQ(dense_input(g, plan, inf.drops), (std::vector{0, 0, 9, 0})); + EXPECT_EQ(dense_input(g, plan, inf.edge_drops), (std::vector{0, 0, 9, 0})); } // Highest averages at every node for Lossy Weighted: Capacity weights [1, 3, 3] split 7 as // [1, 3, 3]. auto g2 = make_graph(2, {{0, 1, 1, 1}, {0, 1, 3, 1}, {0, 1, 3, 1}}); - const auto p2 = plan_of(g2, FlowPlacement::Weighted, 0, {1}, all_ids(g2), caps(g2), WeightBasis::Capacity, + const auto p2 = plan_of(g2, RouteAllocation::Weighted, 0, {1}, all_ids(g2), caps(g2), WeightBasis::Capacity, Admission::Lossy); auto s2 = lossy_step(p2, 7, on_members(p2, caps(g2))); - EXPECT_EQ(dense_input(g2, p2, s2.carried), (std::vector{1, 3, 3})); + EXPECT_EQ(dense_input(g2, p2, s2.edge_flows), (std::vector{1, 3, 3})); EXPECT_EQ(s2.delivered, 7); - // One link of capacity 0. EqualBalanced keeps it as a member: the offer enters it and is + // One link of capacity 0. Equal keeps it as a member: the offer enters it and is // dropped on it. Weighted gives it weight 0: the source has no member and injects nothing (the // offer is a source drop). auto g3 = make_graph(2, {{0, 1, 0, 1}}); - const auto p3 = plan_of(g3, FlowPlacement::EqualBalanced, 0, {1}, all_ids(g3), caps(g3), WeightBasis::ResidualSnapshot, + const auto p3 = plan_of(g3, RouteAllocation::Equal, 0, {1}, all_ids(g3), caps(g3), WeightBasis::ResidualSnapshot, Admission::Lossy); - ASSERT_EQ(p3.members, (std::vector{0})); + ASSERT_EQ(p3.forwarding_edges, (std::vector{0})); auto s3 = lossy_step(p3, 5, on_members(p3, caps(g3))); EXPECT_EQ(s3.offered, 5); - EXPECT_EQ(s3.injected, 5); + EXPECT_EQ(s3.network_entered, 5); EXPECT_EQ(s3.delivered, 0); - EXPECT_EQ(s3.carried, (std::vector{0})); - EXPECT_EQ(s3.drops, (std::vector{5})); - const auto w3 = plan_of(g3, FlowPlacement::Weighted, 0, {1}, all_ids(g3), caps(g3), WeightBasis::Capacity, + EXPECT_EQ(s3.edge_flows, (std::vector{0})); + EXPECT_EQ(s3.edge_drops, (std::vector{5})); + const auto w3 = plan_of(g3, RouteAllocation::Weighted, 0, {1}, all_ids(g3), caps(g3), WeightBasis::Capacity, Admission::Lossy); - ASSERT_TRUE(w3.members.empty()); + ASSERT_TRUE(w3.forwarding_edges.empty()); auto s4 = lossy_step(w3, 5, {}); EXPECT_EQ(s4.offered, 5); - EXPECT_EQ(s4.injected, 0); + EXPECT_EQ(s4.network_entered, 0); EXPECT_EQ(s4.delivered, 0); } @@ -1405,8 +1405,8 @@ TEST(LossyKernel, DiamondDropsAndInfiniteInjection) { TEST(LossyKernel, RandomStepsEqualThePerNodeReference) { std::mt19937 rng(1915); int weighted_transit_drops = 0; // Weighted steps that drop at a node other than the source - int balanced_transit_drops = 0; // the same for EqualBalanced - int zero_member_drops = 0; // EqualBalanced members of capacity 0 that dropped their share + int balanced_transit_drops = 0; // the same for Equal + int zero_member_drops = 0; // Equal members of capacity 0 that dropped their share int infinite = 0; // +inf offers that injected something int delivering = 0; // steps that delivered something for (int trial = 0; trial < 1000; ++trial) { @@ -1419,38 +1419,38 @@ TEST(LossyKernel, RandomStepsEqualThePerNodeReference) { std::vector dsts = {static_cast(n - 1)}; if (rng() % 3 == 0) dsts.insert(dsts.begin(), static_cast(1 + rng() % static_cast(n - 2))); const bool weighted = trial % 2 == 1; - const auto kernel = weighted ? FlowPlacement::Weighted : FlowPlacement::EqualBalanced; + const auto kernel = weighted ? RouteAllocation::Weighted : RouteAllocation::Equal; const auto plan = plan_of(g, kernel, 0, dsts, all_ids(g), caps(g), WeightBasis::Capacity, Admission::Lossy); - // The split graph: every edge for EqualBalanced (a zero-capacity member takes its share and + // The split graph: every edge for Equal (a zero-capacity member takes its share and // drops it), the edges of positive weight (capacity) for Weighted. std::vector usable; for (EdgeId e : all_ids(g)) { - if (!weighted || g.capacity_units()[static_cast(e)] >= 1) usable.push_back(e); + if (!weighted || g.edge_capacity_units()[static_cast(e)] >= 1) usable.push_back(e); } - ASSERT_EQ(plan.members, walk_members(g, usable, 0, dsts)) << "trial " << trial; + ASSERT_EQ(plan.forwarding_edges, walk_members(g, usable, 0, dsts)) << "trial " << trial; std::vector> arcs; std::vector weights, residual; - for (EdgeId e : plan.members) { + for (EdgeId e : plan.forwarding_edges) { const auto k = static_cast(e); - arcs.emplace_back(g.edge_src()[k], g.edge_dst()[k]); - weights.push_back(g.capacity_units()[k]); - residual.push_back(static_cast(rng() % static_cast(g.capacity_units()[k] + 1))); + arcs.emplace_back(g.edge_sources()[k], g.edge_destinations()[k]); + weights.push_back(g.edge_capacity_units()[k]); + residual.push_back(static_cast(rng() % static_cast(g.edge_capacity_units()[k] + 1))); } const std::optional offer = rng() % 4 == 0 ? std::nullopt : std::optional(static_cast(rng() % 25)); const auto s = lossy_step(plan, offer, residual); const auto want = lossy_reference(n, arcs, weights, residual, weighted, offer, 0, dsts); const std::string where = "trial " + std::to_string(trial); - EXPECT_EQ(s.carried, want.carried) << where; - EXPECT_EQ(s.drops, want.drops) << where; - EXPECT_EQ(s.injected, want.injected) << where; + EXPECT_EQ(s.edge_flows, want.carried) << where; + EXPECT_EQ(s.edge_drops, want.drops) << where; + EXPECT_EQ(s.network_entered, want.injected) << where; EXPECT_EQ(s.delivered, want.delivered) << where; EXPECT_EQ(s.offered, offer.value_or(want.injected)) << where; bool transit_drop = false; for (std::size_t i = 0; i < arcs.size(); ++i) transit_drop = transit_drop || (arcs[i].first != 0 && want.drops[i] > 0); (weighted ? weighted_transit_drops : balanced_transit_drops) += transit_drop ? 1 : 0; for (std::size_t i = 0; i < arcs.size(); ++i) { - zero_member_drops += g.capacity_units()[static_cast(plan.members[i])] == 0 && want.drops[i] > 0 ? 1 : 0; + zero_member_drops += g.edge_capacity_units()[static_cast(plan.forwarding_edges[i])] == 0 && want.drops[i] > 0 ? 1 : 0; } infinite += !offer.has_value() && want.injected > 0 ? 1 : 0; delivering += want.delivered > 0 ? 1 : 0; diff --git a/tests/cpp/route_policy.hpp b/tests/cpp/route_policy.hpp index ea192d1..d95b474 100644 --- a/tests/cpp/route_policy.hpp +++ b/tests/cpp/route_policy.hpp @@ -1,5 +1,5 @@ -// A policy on one fixed route, in the program API: Global restricted to the route (on_support) or -// Pinned over a program of the route as one supplied split route (split_route: EqualBalanced, or +// A policy on one fixed route, in the program API: CentralizedTE restricted to the route (on_support) or +// Pinned over a program of the route as one supplied split route (split_route: Equal, or // Weighted with its WeightBasis; RESIDUAL_SNAPSHOT reads the ledger's residual when the program // is made). The ledger tests (flow_ledger_tests.cpp, flow_ledger_fault_tests.cpp) drive the ledger // through RoutePolicy and compare the real PlacementResult. @@ -13,30 +13,32 @@ #include "netgraph/core/flow_ledger.hpp" #include "netgraph/core/flow_policy.hpp" #include "netgraph/core/options.hpp" -#include "netgraph/core/pred_dag.hpp" -#include "netgraph/core/program.hpp" +#include "netgraph/core/route_structures.hpp" +#include "netgraph/core/forwarding_program.hpp" namespace netgraph::core::test { -inline FlowPolicyConfig on_support(std::shared_ptr dag, Admission admission = Admission::Lossless) { +inline FlowPolicyConfig on_support(std::shared_ptr dag, Admission admission = Admission::Lossless) { FlowPolicyConfig cfg; - cfg.routing = Global {std::move(dag)}; + CentralizedTE controller(SourceAllocation::Optimized); + controller.support = std::move(dag); + cfg.routing = std::move(controller); cfg.admission = admission; return cfg; } -inline FlowPolicyConfig split_route(const FlowLedger& fg, NodeId src, NodeId dst, std::shared_ptr dag, - FlowPlacement placement, Admission admission, +inline FlowPolicyConfig split_route(const FlowLedger& fg, NodeId src, NodeId dst, std::shared_ptr dag, + RouteAllocation placement, Admission admission, WeightBasis weights = WeightBasis::Capacity) { const NodeId s[1] = {src}; const NodeId d[1] = {dst}; RouteOptions options; - options.placement = placement; - if (placement == FlowPlacement::Weighted && weights != WeightBasis::Capacity) { - options.weights = weights; + options.allocation = placement; + if (placement == RouteAllocation::Weighted && weights != WeightBasis::Capacity) { + options.weight_basis = weights; if (weights == WeightBasis::ResidualSnapshot) options.residual = fg.residual(); } - const Route routes[1] = {Route {src, std::move(dag), 1}}; + const RouteDefinition routes[1] = {RouteDefinition {src, std::move(dag), 1}}; FlowPolicyConfig cfg; cfg.routing = Pinned {ForwardingProgram::from_routes(*fg.graph(), s, d, routes, options), nullptr}; cfg.admission = admission; @@ -53,19 +55,19 @@ class RoutePolicy { policy_ = std::make_unique(fg, s, d, std::move(cfg), elig_.get()); } - PlacementResult place(std::optional volume) { return policy_->place(volume); } + PlacementResult place(std::optional offer) { return policy_->place(offer); } void remove() { policy_->remove(); } // The FlowId of the policy's one record (its first), if it has one. [[nodiscard]] std::optional flow_id() const { const auto& pe = engine(); - if (pe.epoch.cohorts.empty() || pe.epoch.cohorts.front().empty()) return std::nullopt; - return FlowId {pe.fg.uid(), pe.epoch.cohorts.front().front().id}; + if (pe.epoch.record_groups.empty() || pe.epoch.record_groups.front().empty()) return std::nullopt; + return FlowId {pe.ledger.uid(), pe.epoch.record_groups.front().front().record_counter}; } - // The split route's plan as forwarded (Pinned), or null (Global's support has none). - [[nodiscard]] const detail::KernelPlan* plan() const { + // The split route's plan as forwarded (Pinned), or null (CentralizedTE's support has none). + [[nodiscard]] const detail::PreparedRoute* plan() const { const auto& pe = engine(); - if (!std::holds_alternative(pe.config.routing) || pe.view.data->contexts.empty()) return nullptr; - return pe.view.plan(0).get(); + if (!std::holds_alternative(pe.config.routing) || pe.view.data->split_contexts.empty()) return nullptr; + return pe.view.prepared_route(0).get(); } [[nodiscard]] const Counter128& requested() const { return engine().epoch.requested; } [[nodiscard]] bool infinite() const { return engine().epoch.infinite; } diff --git a/tests/cpp/pred_dag_tests.cpp b/tests/cpp/route_structures_tests.cpp similarity index 67% rename from tests/cpp/pred_dag_tests.cpp rename to tests/cpp/route_structures_tests.cpp index c8165a2..d671c2c 100644 --- a/tests/cpp/pred_dag_tests.cpp +++ b/tests/cpp/route_structures_tests.cpp @@ -1,4 +1,4 @@ -// PredDAG and Path: from_csr's complete validation in the documented order, the +// PredecessorDAG and Path: from_csr's complete validation in the documented order, the // canonical predecessor order, structural equality, Path validation in its order, cost and // to_dag(). #include @@ -7,8 +7,8 @@ #include #include -#include "netgraph/core/detail/pred_dag_builder.hpp" -#include "netgraph/core/pred_dag.hpp" +#include "netgraph/core/detail/route_builders.hpp" +#include "netgraph/core/route_structures.hpp" #include "test_utils.hpp" using namespace netgraph::core; @@ -16,7 +16,7 @@ using namespace netgraph::core::test; namespace { -// 0 -> 1 (two parallel members), 1 -> 2, 0 -> 2 and 2 -> 0; ids follow (src, cost, dst, input). +// 0 -> 1 (two parallel members), 1 -> 2, 0 -> 2 and 2 -> 0; ids follow (source, cost, destination, input). Graph diamondish() { return make_graph(3, {{0, 1, 5, 1}, {0, 1, 5, 1}, {1, 2, 5, 1}, {0, 2, 5, 3}, {2, 0, 5, 1}}); } @@ -25,13 +25,13 @@ using V = std::vector; } // namespace -TEST(PredDAG, FromCsrRoundTripAndAccessors) { +TEST(PredecessorDAG, FromCsrRoundTripAndAccessors) { auto g = diamondish(); // ids: 0: 0->1, 1: 0->1, 2: 0->2 (cost 3), 3: 1->2, 4: 2->0 const V off = {0, 0, 2, 4}; const V par = {0, 0, 0, 1}; const V via = {0, 1, 2, 3}; - auto dag = PredDAG::from_csr(g, off, par, via); + auto dag = PredecessorDAG::from_csr(g, off, par, via); EXPECT_EQ(dag.graph_uid(), g.uid()); EXPECT_EQ(dag.parent_offsets(), off); EXPECT_EQ(V(dag.parents().begin(), dag.parents().end()), par); @@ -39,20 +39,20 @@ TEST(PredDAG, FromCsrRoundTripAndAccessors) { EXPECT_EQ(ascending_edges(dag), (std::vector{0, 1, 2, 3})); // Structural equality: the builder's value from the same edge set is equal. const std::vector edges = {3, 1, 0, 2}; - EXPECT_TRUE(detail::PredDAGBuilder::of_edges(g, edges) == dag); - auto empty = PredDAG::from_csr(g, V {0, 0, 0, 0}, V {}, V {}); + EXPECT_TRUE(detail::PredecessorDAGBuilder::of_edges(g, edges) == dag); + auto empty = PredecessorDAG::from_csr(g, V {0, 0, 0, 0}, V {}, V {}); EXPECT_FALSE(empty == dag); EXPECT_TRUE(ascending_edges(empty).empty()); // Equality includes the graph: the same CSR on a twin graph (the same arrays, another uid) is // another value, from from_csr and from the builder alike. const auto twin = diamondish(); ASSERT_NE(twin.uid(), g.uid()); - const auto there = PredDAG::from_csr(twin, off, par, via); + const auto there = PredecessorDAG::from_csr(twin, off, par, via); EXPECT_EQ(there.parent_offsets(), off); EXPECT_EQ(V(there.via_edges().begin(), there.via_edges().end()), via); EXPECT_FALSE(there == dag); - EXPECT_FALSE(detail::PredDAGBuilder::of_edges(twin, edges) == dag); - EXPECT_TRUE(detail::PredDAGBuilder::of_edges(twin, edges) == there); + EXPECT_FALSE(detail::PredecessorDAGBuilder::of_edges(twin, edges) == dag); + EXPECT_TRUE(detail::PredecessorDAGBuilder::of_edges(twin, edges) == there); } // The builder's entries for any edge subset in any input order: children ascending, via @@ -62,29 +62,29 @@ TEST(PredDAG, FromCsrRoundTripAndAccessors) { // to 767 nodes with four to seven children of five to nine in-edges each (at most 63 edges, often // more than a sort keeps in insertion order) take only the pair sort. Each population is guarded by // its DAGs with a child of several entries, whose order is what differs between the two. -TEST(PredDAG, BuilderGroupsAnyEdgeSubsetCanonically) { +TEST(PredecessorDAG, BuilderGroupsAnyEdgeSubsetCanonically) { std::mt19937 rng(5); // Checks the builder's value for one subset; true when a child has several entries. const auto check = [&](const Graph& g, std::vector subset, int trial) { const int n = g.num_nodes(); std::shuffle(subset.begin(), subset.end(), rng); - const auto dag = detail::PredDAGBuilder::of_edges(g, subset); + const auto dag = detail::PredecessorDAGBuilder::of_edges(g, subset); V off(static_cast(n) + 1, 0); std::vector> entries; - for (EdgeId e : subset) entries.emplace_back(g.edge_dst()[static_cast(e)], e); + for (EdgeId e : subset) entries.emplace_back(g.edge_destinations()[static_cast(e)], e); std::sort(entries.begin(), entries.end()); V par; V via; for (auto [child, e] : entries) { ++off[static_cast(child) + 1]; - par.push_back(g.edge_src()[static_cast(e)]); + par.push_back(g.edge_sources()[static_cast(e)]); via.push_back(e); } for (std::size_t i = 1; i < off.size(); ++i) off[i] += off[i - 1]; EXPECT_EQ(dag.parent_offsets(), off) << trial; EXPECT_EQ(V(dag.parents().begin(), dag.parents().end()), par) << trial; EXPECT_EQ(V(dag.via_edges().begin(), dag.via_edges().end()), via) << trial; - EXPECT_TRUE(PredDAG::from_csr(g, off, par, via) == dag) << trial; + EXPECT_TRUE(PredecessorDAG::from_csr(g, off, par, via) == dag) << trial; std::sort(subset.begin(), subset.end()); EXPECT_EQ(ascending_edges(dag), subset) << trial; const auto o = dag.parent_offsets(); @@ -130,93 +130,93 @@ TEST(PredDAG, BuilderGroupsAnyEdgeSubsetCanonically) { EXPECT_GT(sparse_grouped, 100); } -TEST(PredDAG, FromCsrShapeChecksInOrder) { +TEST(PredecessorDAG, FromCsrShapeChecksInOrder) { auto g = diamondish(); // offsets of length N + 1 - EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, V {0, 0, 0}, V {}, V {}); }), "offsets has length 3")); + EXPECT_TRUE(contains(error_of([&] { (void)PredecessorDAG::from_csr(g, V {0, 0, 0}, V {}, V {}); }), "parent_offsets has length 3")); // offsets[0] == 0 (also before monotone) - EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, V {1, 0, 2, 1}, V {}, V {}); }), "offsets[0] = 1")); + EXPECT_TRUE(contains(error_of([&] { (void)PredecessorDAG::from_csr(g, V {1, 0, 2, 1}, V {}, V {}); }), "parent_offsets[0] = 1")); // monotone - EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, V {0, 2, 1, 2}, V {0, 0}, V {0, 1}); }), + EXPECT_TRUE(contains(error_of([&] { (void)PredecessorDAG::from_csr(g, V {0, 2, 1, 2}, V {0, 0}, V {0, 1}); }), "not monotone at 2")); // offsets[N] == len(parents) == len(via) - EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, V {0, 0, 2, 2}, V {0}, V {0, 1}); }), - "offsets[N] = 2 but parents has 1")); - EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, V {0, 0, 2, 2}, V {0, 0}, V {0}); }), - "and via has 1")); + EXPECT_TRUE(contains(error_of([&] { (void)PredecessorDAG::from_csr(g, V {0, 0, 2, 2}, V {0}, V {0, 1}); }), + "parent_offsets[N] = 2 but parents has 1")); + EXPECT_TRUE(contains(error_of([&] { (void)PredecessorDAG::from_csr(g, V {0, 0, 2, 2}, V {0, 0}, V {0}); }), + "and via_edges has 1")); // Shape before entries: a bad parent and a shape defect report the shape. - EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, V {0, 0, 2, 3}, V {9, 0}, V {0, 1}); }), - "offsets[N] = 3")); + EXPECT_TRUE(contains(error_of([&] { (void)PredecessorDAG::from_csr(g, V {0, 0, 2, 3}, V {9, 0}, V {0, 1}); }), + "parent_offsets[N] = 3")); // Every shape defect at once, then each reported one removed: each step is reported before // all the later ones (and before the bad entry 9, 9). - EXPECT_EQ(error_of([&] { (void)PredDAG::from_csr(g, V {1, 0, 0}, V {9}, V {9}); }), - "PredDAG.from_csr: offsets has length 3, expected N + 1 = 4"); - EXPECT_EQ(error_of([&] { (void)PredDAG::from_csr(g, V {1, 0, 2, 5}, V {9}, V {9}); }), - "PredDAG.from_csr: offsets[0] = 1, expected 0"); - EXPECT_EQ(error_of([&] { (void)PredDAG::from_csr(g, V {0, 2, 1, 5}, V {9}, V {9}); }), - "PredDAG.from_csr: offsets are not monotone at 2 (2 > 1)"); - EXPECT_EQ(error_of([&] { (void)PredDAG::from_csr(g, V {0, 0, 2, 5}, V {9}, V {9}); }), - "PredDAG.from_csr: offsets[N] = 5 but parents has 1 and via has 1 entries"); + EXPECT_EQ(error_of([&] { (void)PredecessorDAG::from_csr(g, V {1, 0, 0}, V {9}, V {9}); }), + "PredecessorDAG.from_csr: parent_offsets has length 3, expected N + 1 = 4"); + EXPECT_EQ(error_of([&] { (void)PredecessorDAG::from_csr(g, V {1, 0, 2, 5}, V {9}, V {9}); }), + "PredecessorDAG.from_csr: parent_offsets[0] = 1, expected 0"); + EXPECT_EQ(error_of([&] { (void)PredecessorDAG::from_csr(g, V {0, 2, 1, 5}, V {9}, V {9}); }), + "PredecessorDAG.from_csr: parent_offsets are not monotone at 2 (2 > 1)"); + EXPECT_EQ(error_of([&] { (void)PredecessorDAG::from_csr(g, V {0, 0, 2, 5}, V {9}, V {9}); }), + "PredecessorDAG.from_csr: parent_offsets[N] = 5 but parents has 1 and via_edges has 1 entries"); } -TEST(PredDAG, FromCsrEntryChecksInOrder) { +TEST(PredecessorDAG, FromCsrEntryChecksInOrder) { auto g = diamondish(); const V off = {0, 0, 2, 2}; // parents in range, then via in range (entry by entry) - EXPECT_EQ(error_of([&] { (void)PredDAG::from_csr(g, off, V {3, 0}, V {0, 1}); }), - "PredDAG.from_csr: parents[0] = 3 out of node range [0, 3)"); - EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, off, V {0, 0}, V {0, 5}); }), "via[1] = 5")); - EXPECT_EQ(error_of([&] { (void)PredDAG::from_csr(g, off, V {-1, 0}, V {-1, 1}); }), - "PredDAG.from_csr: parents[0] = -1 out of node range [0, 3)"); + EXPECT_EQ(error_of([&] { (void)PredecessorDAG::from_csr(g, off, V {3, 0}, V {0, 1}); }), + "PredecessorDAG.from_csr: parents[0] = 3 out of node range [0, 3)"); + EXPECT_TRUE(contains(error_of([&] { (void)PredecessorDAG::from_csr(g, off, V {0, 0}, V {0, 5}); }), "via_edges[1] = 5")); + EXPECT_EQ(error_of([&] { (void)PredecessorDAG::from_csr(g, off, V {-1, 0}, V {-1, 1}); }), + "PredecessorDAG.from_csr: parents[0] = -1 out of node range [0, 3)"); // via endpoints: wrong parent, wrong child - EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, off, V {1, 0}, V {0, 1}); }), "joins (0, 1), not (1, 1)")); - EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, V {0, 0, 0, 1}, V {0}, V {0}); }), + EXPECT_TRUE(contains(error_of([&] { (void)PredecessorDAG::from_csr(g, off, V {1, 0}, V {0, 1}); }), "joins (0, 1), not (1, 1)")); + EXPECT_TRUE(contains(error_of([&] { (void)PredecessorDAG::from_csr(g, V {0, 0, 0, 1}, V {0}, V {0}); }), "joins (0, 1), not (0, 2)")); // duplicate (child, via) before the order check - EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, off, V {0, 0}, V {1, 1}); }), "duplicate entry")); + EXPECT_TRUE(contains(error_of([&] { (void)PredecessorDAG::from_csr(g, off, V {0, 0}, V {1, 1}); }), "duplicate entry")); // a cycle (0 -> 1 -> 2 -> 0) before the order check: node 1's two entries descend (via 1, then 0) - EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, V {0, 1, 3, 4}, V {2, 0, 0, 1}, V {4, 1, 0, 3}); }), + EXPECT_TRUE(contains(error_of([&] { (void)PredecessorDAG::from_csr(g, V {0, 1, 3, 4}, V {2, 0, 0, 1}, V {4, 1, 0, 3}); }), "cycle")); // canonical order: ascending via within a node - EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, off, V {0, 0}, V {1, 0}); }), + EXPECT_TRUE(contains(error_of([&] { (void)PredecessorDAG::from_csr(g, off, V {0, 0}, V {1, 0}); }), "not in ascending via EdgeId")); // Every entry defect at once, then each reported one removed. Node 0 has (2, via 4), node 1 // (0, via 1), (0, via 0), (0, via 0): a cycle 0 -> 1 -> 2 -> 0, a duplicate and a descending // pair; node 2 has a wrong endpoint (entry 4) before an out-of-range via (entry 5), so the // ranges of every entry come before any endpoint. - const auto first = [&](V o, V p, V w) { return error_of([&] { (void)PredDAG::from_csr(g, o, p, w); }); }; + const auto first = [&](V o, V p, V w) { return error_of([&] { (void)PredecessorDAG::from_csr(g, o, p, w); }); }; EXPECT_EQ(first(V {0, 1, 4, 6}, V {2, 0, 0, 0, 0, 1}, V {4, 1, 0, 0, 0, 9}), - "PredDAG.from_csr: via[5] = 9 out of edge range [0, 5)"); + "PredecessorDAG.from_csr: via_edges[5] = 9 out of edge range [0, 5)"); EXPECT_EQ(first(V {0, 1, 4, 6}, V {2, 0, 0, 0, 0, 1}, V {4, 1, 0, 0, 0, 3}), - "PredDAG.from_csr: entry 4 of node 2: via edge 0 joins (0, 1), not (0, 2)"); + "PredecessorDAG.from_csr: entry 4 of node 2: via edge 0 joins (0, 1), not (0, 2)"); EXPECT_EQ(first(V {0, 1, 4, 6}, V {2, 0, 0, 0, 0, 1}, V {4, 1, 0, 0, 2, 3}), - "PredDAG.from_csr: duplicate entry (child 1, via 0)"); - EXPECT_EQ(first(V {0, 1, 3, 5}, V {2, 0, 0, 0, 1}, V {4, 1, 0, 2, 3}), "PredDAG.from_csr: the entries contain a cycle"); + "PredecessorDAG.from_csr: duplicate entry (child 1, via 0)"); + EXPECT_EQ(first(V {0, 1, 3, 5}, V {2, 0, 0, 0, 1}, V {4, 1, 0, 2, 3}), "PredecessorDAG.from_csr: the entries contain a cycle"); EXPECT_EQ(first(V {0, 0, 2, 4}, V {0, 0, 0, 1}, V {1, 0, 2, 3}), - "PredDAG.from_csr: the entries of node 1 are not in ascending via EdgeId (1 then 0)"); + "PredecessorDAG.from_csr: the entries of node 1 are not in ascending via EdgeId (1 then 0)"); EXPECT_EQ(first(V {0, 0, 2, 4}, V {0, 0, 0, 1}, V {0, 1, 2, 3}), ""); } -TEST(PredDAG, SelfLoopIsACycle) { +TEST(PredecessorDAG, SelfLoopIsACycle) { auto g = make_graph(2, {{0, 0, 1, 1}, {0, 1, 1, 1}}); // id 0: 0->0, id 1: 0->1 - EXPECT_TRUE(contains(error_of([&] { (void)PredDAG::from_csr(g, V {0, 1, 1}, V {0}, V {0}); }), "cycle")); + EXPECT_TRUE(contains(error_of([&] { (void)PredecessorDAG::from_csr(g, V {0, 1, 1}, V {0}, V {0}); }), "cycle")); } -TEST(PredDAG, EmptyGraph) { +TEST(PredecessorDAG, EmptyGraph) { auto g = make_graph(0, {}); - auto dag = PredDAG::from_csr(g, V {0}, V {}, V {}); + auto dag = PredecessorDAG::from_csr(g, V {0}, V {}, V {}); EXPECT_EQ(dag.parent_offsets(), V {0}); - EXPECT_EQ(error_of([&] { (void)PredDAG::from_csr(g, V {}, V {}, V {}); }), - "PredDAG.from_csr: offsets has length 0, expected N + 1 = 1"); + EXPECT_EQ(error_of([&] { (void)PredecessorDAG::from_csr(g, V {}, V {}, V {}); }), + "PredecessorDAG.from_csr: parent_offsets has length 0, expected N + 1 = 1"); } TEST(Path, CostSrcDstAndToDag) { auto g = diamondish(); // Grouped first hop (members 1 and 0, caller order kept), then 1 -> 2. Path p(g, {{1, 0}, {3}}); - EXPECT_EQ(p.src(), 0); - EXPECT_EQ(p.dst(), 2); + EXPECT_EQ(p.source(), 0); + EXPECT_EQ(p.destination(), 2); EXPECT_EQ(p.cost(), 2); EXPECT_EQ(p.hops(), (std::vector>{{1, 0}, {3}})); EXPECT_EQ(p.graph_uid(), g.uid()); @@ -225,7 +225,7 @@ TEST(Path, CostSrcDstAndToDag) { EXPECT_EQ(V(dag.via_edges().begin(), dag.via_edges().end()), (V {0, 1, 3})); EXPECT_EQ(V(dag.parents().begin(), dag.parents().end()), (V {0, 0, 1})); // to_dag gives a canonical value: from_csr accepts it unchanged. - EXPECT_TRUE(PredDAG::from_csr(g, dag.parent_offsets(), dag.parents(), dag.via_edges()) == dag); + EXPECT_TRUE(PredecessorDAG::from_csr(g, dag.parent_offsets(), dag.parents(), dag.via_edges()) == dag); // Cost is the minimum member cost per hop. auto g2 = make_graph(2, {{0, 1, 1, 4}, {0, 1, 1, 2}}); EXPECT_EQ(Path(g2, {{0, 1}}).cost(), 2); diff --git a/tests/cpp/search_fault_tests.cpp b/tests/cpp/search_fault_tests.cpp index 467143b..b11f044 100644 --- a/tests/cpp/search_fault_tests.cpp +++ b/tests/cpp/search_fault_tests.cpp @@ -18,8 +18,8 @@ #include #include "fault_injection.hpp" -#include "netgraph/core/detail/pred_dag_builder.hpp" -#include "netgraph/core/detail/traversal.hpp" +#include "netgraph/core/detail/route_builders.hpp" +#include "netgraph/core/detail/search_detail.hpp" #include "netgraph/core/search.hpp" #include "test_utils.hpp" @@ -33,20 +33,23 @@ struct Query { std::vector roots; Direction direction; std::optional> targets; - PathSelection selection; + detail::RouteChoice choice; bool residual; SpfQueue queue; }; // test_utils.hpp's random graph from its own seed, capacities 0 to 4 (an edge of capacity 0 is // searched like any other). -Graph seeded_graph(int n, int m, Cost max_cost, unsigned seed) { +Graph seeded_graph(int n, int m, Cost max_edge_cost, unsigned seed) { std::mt19937 rng(seed); - return random_graph(rng, n, m, max_cost); + return random_graph(rng, n, m, max_edge_cost); } SpfResult run(const Graph& g, const Query& q, const std::vector& residual) { - SpfOptions o(q.direction, q.selection); + SpfOptions o(q.direction); + o.tie_break = q.choice.tie_break; + o.multipath = q.choice.multipath; + o.parallel_edges = q.choice.parallel_edges; o.targets = q.targets; if (q.residual) o.residual = std::span(residual); return spf(g, q.roots, o, q.queue); @@ -102,7 +105,7 @@ long thread_allocations() { TEST(SearchFaults, EveryAllocationOfSpfFailsCleanly) { // A graph large enough that the pool and the queues grow past their first capacities, with // lists of several entries (unit costs on a dense part). The tiny search before every attempt - // runs on the same workspace and reuses it, sized for the large graph (Lease reallocates only + // runs on the same workspace and reuses it, sized for the large graph (SearchWorkspaceLease reallocates only // below n or above 4n + 4096 nodes, so it never shrinks here): each attempt starts from a // workspace another graph used last. The acquisition of the node arrays is swept below, from // fresh threads. @@ -110,11 +113,11 @@ TEST(SearchFaults, EveryAllocationOfSpfFailsCleanly) { const auto tiny = make_graph(3, {{0, 1, 1, 1}, {1, 2, 1, 1}}); std::vector residual(static_cast(big.num_edges())); for (std::size_t e = 0; e < residual.size(); ++e) { - residual[e] = std::max(0, big.capacity_units()[e] - static_cast(e % 2)); + residual[e] = std::max(0, big.edge_capacity_units()[e] - static_cast(e % 2)); } - const PathSelection det(EdgeTieBreak::Deterministic, EdgePriority::Capacity); - const PathSelection collapse(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, true, false); - const PathSelection single(EdgeTieBreak::PreferHigherPriority, EdgePriority::Headroom, false, true); + const detail::RouteChoice det {RouteTieBreak::FewerHops}; + const detail::RouteChoice collapse {RouteTieBreak::HigherAvailableCapacity, true, false}; + const detail::RouteChoice single {RouteTieBreak::HigherHeadroom, false, true}; const std::vector queries = { {"full forward buckets", {0}, Direction::Forward, std::nullopt, det, false, SpfQueue::Auto}, {"full forward heap", {0, 7}, Direction::Forward, std::nullopt, det, false, SpfQueue::Heap}, @@ -128,13 +131,13 @@ TEST(SearchFaults, EveryAllocationOfSpfFailsCleanly) { std::vector want; for (const auto& q : queries) want.push_back(run(big, q, residual)); const auto want_other = run(big, other, residual); - const auto want_tiny = spf(tiny, std::vector {0}, SpfOptions(Direction::Forward, det)); + const auto want_tiny = spf(tiny, std::vector {0}, SpfOptions(Direction::Forward)); const long harness = thread_allocations(); for (std::size_t i = 0; i < queries.size(); ++i) { const auto& q = queries[i]; long failures = 0; for (long k = 0;; ++k) { - (void)spf(tiny, std::vector {0}, SpfOptions(Direction::Forward, det)); // reuses the workspace + (void)spf(tiny, std::vector {0}, SpfOptions(Direction::Forward)); // reuses the workspace std::optional got; // The workspace already has the size every query needs (the references above), so a failed // search that leaves an allocation live leaks it. @@ -151,7 +154,7 @@ TEST(SearchFaults, EveryAllocationOfSpfFailsCleanly) { // The retry, another query and a tiny search on this thread see a clean workspace. expect_same(run(big, q, residual), want[i], q.name + " retry after " + std::to_string(k)); expect_same(run(big, other, residual), want_other, q.name + " other after " + std::to_string(k)); - expect_same(spf(tiny, std::vector {0}, SpfOptions(Direction::Forward, det)), want_tiny, + expect_same(spf(tiny, std::vector {0}, SpfOptions(Direction::Forward)), want_tiny, q.name + " tiny after " + std::to_string(k)); } EXPECT_GE(failures, 8) << q.name; // the sweep reached the search's allocations, not only the result @@ -183,24 +186,24 @@ TEST(SearchFaults, InternalRouteSearchesFailCleanly) { // same sweep: a failure leaves nothing behind for the next search. const auto g = seeded_graph(200, 1200, 2, 7); std::vector view(static_cast(g.num_edges())); - for (std::size_t e = 0; e < view.size(); ++e) view[e] = g.capacity_units()[e]; - const PathSelection single(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, false); + for (std::size_t e = 0; e < view.size(); ++e) view[e] = g.edge_capacity_units()[e]; + const detail::RouteChoice single {RouteTieBreak::HigherAvailableCapacity, false, false}; const std::vector dests = {150, 199}; - const auto want_route = detail::route_search(g, detail::Gate {nullptr, view, 1}, single, 3, dests); + const auto want_route = detail::route_search(g, detail::SearchFilter {nullptr, view, 1}, single, 3, dests); ASSERT_TRUE(want_route.has_value()); // node 3 reaches a destination const auto support = detail::static_support(g, dests, Direction::Reverse, nullptr); - const detail::PriorityValues values {&g, EdgePriority::Residual, view}; - const auto prio = detail::PriorityFn::of(values); - const auto want_support = detail::support_route(g, detail::PredDAGBuilder::ascending(support), 3, dests, single, prio); + const detail::PriorityValues values {&g, RouteTieBreak::HigherAvailableCapacity, view}; + const auto prio = detail::PriorityReader::of(values); + const auto want_support = detail::support_route(g, detail::PredecessorDAGBuilder::ascending(support), 3, dests, single, prio); const auto want_costs = detail::static_costs(g, nullptr, dests, std::vector {0, 1, 2, 3}); std::vector> calls = { [&] { - auto r = detail::route_search(g, detail::Gate {nullptr, view, 1}, single, 3, dests); + auto r = detail::route_search(g, detail::SearchFilter {nullptr, view, 1}, single, 3, dests); ASSERT_TRUE(r.has_value()); EXPECT_EQ(r->edges, want_route->edges); }, [&] { - auto r = detail::support_route(g, detail::PredDAGBuilder::ascending(support), 3, dests, single, prio); + auto r = detail::support_route(g, detail::PredecessorDAGBuilder::ascending(support), 3, dests, single, prio); EXPECT_EQ(r.edges, want_support.edges); }, [&] { EXPECT_TRUE(detail::static_support(g, dests, Direction::Reverse, nullptr) == support); }, @@ -227,11 +230,14 @@ TEST(SearchFaults, KspAndTheResolverFailCleanly) { // allocation fails once, in a new thread each time (an empty workspace), and the thread's next // calls give their references. const auto g = seeded_graph(60, 300, 3, 21); - const PathSelection expand(EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity, true, true); - const PathSelection collapse(EdgeTieBreak::Deterministic, EdgePriority::Capacity, true, false); - auto ksp_of = [&](const PathSelection& s) { - KspOptions o(6, s); - o.max_path_cost = Stretch {3.0}; + // ksp's choices: every parallel edge under HIGHER_CAPACITY, one per (u, v) pair under FEWER_HOPS. + const std::pair expand {RouteTieBreak::HigherCapacity, true}; + const std::pair collapse {RouteTieBreak::FewerHops, false}; + auto ksp_of = [&](const std::pair& s) { + KspOptions o(6); + o.tie_break = s.first; + o.parallel_edges = s.second; + o.cost_ceiling = CostStretch(3); return ksp(g, 0, 59, o); }; const auto want_expand = ksp_of(expand); @@ -247,7 +253,7 @@ TEST(SearchFaults, KspAndTheResolverFailCleanly) { for (NodeId b = 6; b <= 10; ++b) layered.push_back({b, 59, 1, 1}); layered.push_back({10, 59, 1, 1}); const auto unit = make_graph(60, layered); - SpfOptions full(Direction::Forward, PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)); + SpfOptions full(Direction::Forward); const auto dag = spf(unit, std::vector {0}, full).dag; const auto want_paths = resolve_to_paths(unit, dag, 0, 59, true, 7); ASSERT_GE(want_paths.size(), 2U); @@ -294,7 +300,7 @@ TEST(SearchFaults, KspAndTheResolverFailCleanly) { TEST(SearchFaults, ResultComparisonRejectsEveryField) { const auto g = make_graph(3, {{0, 1, 1, 1}, {1, 2, 1, 1}}); - const SpfOptions opts(Direction::Forward, PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)); + const SpfOptions opts(Direction::Forward); const auto good = spf(g, std::vector {0}, opts); EXPECT_EQ(failures_of([&] { expect_same(good, good, "same"); }), 0); for (int field = 0; field < 3; ++field) { diff --git a/tests/cpp/search_reference.hpp b/tests/cpp/search_reference.hpp index f519a3c..522c727 100644 --- a/tests/cpp/search_reference.hpp +++ b/tests/cpp/search_reference.hpp @@ -1,5 +1,5 @@ // An independent reference of the search semantics (docs/semantics.md#4-search) for the tests: the member graph -// by an explicit per-pair selection, Bellman-Ford distances, the tight-edge DAG and the pruned +// by an explicit per-pair choice, Bellman-Ford distances, the tight-edge DAG and the pruned // DAG by two-sided distances, and the canonical single path by enumerating every simple walk. // It shares no code with the traversal core (no queue, no lists, no extractor). #pragma once @@ -37,20 +37,20 @@ struct Query { const Eligibility* elig {nullptr}; const std::vector* residual {nullptr}; Amount min_residual {1}; - bool multi_edge {true}; - bool prefer {false}; - EdgePriority priority {EdgePriority::Capacity}; + bool parallel_edges {true}; + RouteTieBreak tie_break {RouteTieBreak::FewerHops}; + [[nodiscard]] bool prefer() const { return tie_break != RouteTieBreak::FewerHops; } }; -// Without a residual the free capacity is the static capacity (docs/semantics.md#4-search): -// Residual and Capacity read the capacity, Headroom capacity / capacity. Headroom is 0 on an edge -// of capacity 0. +// Without a residual the availability is the static capacity (docs/semantics.md#4-search): +// HIGHER_AVAILABLE_CAPACITY and HIGHER_CAPACITY read the capacity, HIGHER_HEADROOM capacity / +// capacity. HIGHER_HEADROOM is 0 on an edge of capacity 0. inline Prio prio_of(const Query& q, EdgeId e) { const auto ei = static_cast(e); - const Amount cap = q.g->capacity_units()[ei]; + const Amount cap = q.g->edge_capacity_units()[ei]; const Amount r = q.residual == nullptr ? cap : (*q.residual)[ei]; - if (q.priority == EdgePriority::Capacity) return {cap, 1, false}; - if (q.priority == EdgePriority::Residual) return {r, 1, false}; + if (q.tie_break == RouteTieBreak::HigherCapacity) return {cap, 1, false}; + if (q.tie_break == RouteTieBreak::HigherAvailableCapacity) return {r, 1, false}; if (cap == 0) return {0, 1, false}; return {r, cap, false}; } @@ -62,17 +62,17 @@ inline std::vector members(const Query& q) { const auto m = static_cast(g.num_edges()); std::vector cand(m, 0); for (std::size_t e = 0; e < m; ++e) { - if (q.elig != nullptr && !q.elig->edge_ok(static_cast(e))) continue; + if (q.elig != nullptr && !q.elig->allows_edge(static_cast(e))) continue; if (q.residual != nullptr && (*q.residual)[e] < q.min_residual) continue; cand[e] = 1; } - if (q.multi_edge) return cand; - // select_adjacency: the minimum cost, then the higher priority under prefer, then the lower id. + if (q.parallel_edges) return cand; + // The parallel-member choice (replaces()): the minimum cost, then the higher score under a HIGHER_* tie, then the lower id. auto better = [&](EdgeId a, EdgeId b) { - const Cost ca = g.cost()[static_cast(a)]; - const Cost cb = g.cost()[static_cast(b)]; + const Cost ca = g.edge_costs()[static_cast(a)]; + const Cost cb = g.edge_costs()[static_cast(b)]; if (ca != cb) return ca < cb; - if (q.prefer) { + if (q.prefer()) { const int c = cmp(prio_of(q, a), prio_of(q, b)); if (c != 0) return c > 0; } @@ -81,7 +81,7 @@ inline std::vector members(const Query& q) { std::map, EdgeId> best; for (std::size_t e = 0; e < m; ++e) { if (cand[e] == 0) continue; - const auto key = std::make_pair(g.edge_src()[e], g.edge_dst()[e]); + const auto key = std::make_pair(g.edge_sources()[e], g.edge_destinations()[e]); auto it = best.find(key); if (it == best.end()) { best[key] = static_cast(e); @@ -105,10 +105,10 @@ inline std::vector distances(const Graph& g, const std::vector& mem, changed = false; for (std::size_t e = 0; e < mem.size(); ++e) { if (mem[e] == 0) continue; - const auto a = static_cast(reverse ? g.edge_dst()[e] : g.edge_src()[e]); - const auto b = static_cast(reverse ? g.edge_src()[e] : g.edge_dst()[e]); + const auto a = static_cast(reverse ? g.edge_destinations()[e] : g.edge_sources()[e]); + const auto b = static_cast(reverse ? g.edge_sources()[e] : g.edge_destinations()[e]); if (d[a] == kNone) continue; - const Cost nd = d[a] + g.cost()[e]; + const Cost nd = d[a] + g.edge_costs()[e]; if (nd < d[b]) { d[b] = nd; changed = true; @@ -123,10 +123,10 @@ inline std::set full_dag(const Graph& g, const std::vector& mem, c std::set out; for (std::size_t e = 0; e < mem.size(); ++e) { if (mem[e] == 0) continue; - const Cost du = d[static_cast(g.edge_src()[e])]; - const Cost dv = d[static_cast(g.edge_dst()[e])]; + const Cost du = d[static_cast(g.edge_sources()[e])]; + const Cost dv = d[static_cast(g.edge_destinations()[e])]; if (du == kNone || dv == kNone) continue; - if (reverse ? dv + g.cost()[e] == du : du + g.cost()[e] == dv) out.insert(static_cast(e)); + if (reverse ? dv + g.edge_costs()[e] == du : du + g.edge_costs()[e] == dv) out.insert(static_cast(e)); } return out; } @@ -143,9 +143,9 @@ inline std::pair> pruned(const Graph& g, const std::vecto if (dstar == kNone) return {dstar, out}; for (std::size_t e = 0; e < mem.size(); ++e) { if (mem[e] == 0) continue; - const Cost du = ds[static_cast(g.edge_src()[e])]; - const Cost dv = de[static_cast(g.edge_dst()[e])]; - if (du != kNone && dv != kNone && du + g.cost()[e] + dv == dstar) out.insert(static_cast(e)); + const Cost du = ds[static_cast(g.edge_sources()[e])]; + const Cost dv = de[static_cast(g.edge_destinations()[e])]; + if (du != kNone && dv != kNone && du + g.edge_costs()[e] + dv == dstar) out.insert(static_cast(e)); } return {dstar, out}; } @@ -158,8 +158,8 @@ inline void walks(const Graph& g, const std::vector& mem, NodeId u, const return; } for (std::size_t e = 0; e < mem.size(); ++e) { - if (mem[e] == 0 || g.edge_src()[e] != u) continue; - const NodeId v = g.edge_dst()[e]; + if (mem[e] == 0 || g.edge_sources()[e] != u) continue; + const NodeId v = g.edge_destinations()[e]; if (on[static_cast(v)] != 0) continue; on[static_cast(v)] = 1; walk.push_back(static_cast(e)); @@ -186,7 +186,7 @@ inline std::vector> all_walks(const Graph& g, const std::vec inline Cost walk_cost(const Graph& g, const std::vector& walk) { Cost x = 0; - for (EdgeId e : walk) x += g.cost()[static_cast(e)]; + for (EdgeId e : walk) x += g.edge_costs()[static_cast(e)]; return x; } @@ -204,7 +204,7 @@ inline bool key_less(const Query& q, const std::vector& a, const std::ve const Cost ca = walk_cost(*q.g, a); const Cost cb = walk_cost(*q.g, b); if (ca != cb) return ca < cb; - if (q.prefer) { + if (q.prefer()) { const int c = cmp(bottleneck(q, a), bottleneck(q, b)); if (c != 0) return c > 0; } diff --git a/tests/cpp/search_tests.cpp b/tests/cpp/search_tests.cpp index 749f03a..fedfb6c 100644 --- a/tests/cpp/search_tests.cpp +++ b/tests/cpp/search_tests.cpp @@ -1,5 +1,5 @@ // The search through the public spf and the traversal core's internal entries: the -// member graph and select_adjacency, the unique DAG in both directions and the values that reach +// member graph and replaces() (the parallel-member choice), the unique DAG in both directions and the values that reach // it only through the member graph, anycast pruning, the staged // canonical single path on its witness graphs (hand-built examples), the canonical predecessor order, both queues and // their dispatch, and agreement with an independent reference (search_reference.hpp) on random @@ -19,9 +19,9 @@ #include #include -#include "netgraph/core/dag_cache.hpp" -#include "netgraph/core/detail/pred_dag_builder.hpp" -#include "netgraph/core/detail/traversal.hpp" +#include "netgraph/core/shortest_path_cache.hpp" +#include "netgraph/core/detail/route_builders.hpp" +#include "netgraph/core/detail/search_detail.hpp" #include "netgraph/core/options.hpp" #include "netgraph/core/search.hpp" #include "search_reference.hpp" @@ -32,23 +32,29 @@ using namespace netgraph::core::test; namespace { -PathSelection sel(bool multipath = true, bool multi_edge = true, EdgeTieBreak tie = EdgeTieBreak::Deterministic, - EdgePriority prio = EdgePriority::Residual) { - return PathSelection(tie, prio, multipath, multi_edge); +// A route choice of spf: multipath, parallel_edges, tie_break. +detail::RouteChoice sel(bool multipath = true, bool parallel_edges = true, RouteTieBreak tie = RouteTieBreak::FewerHops) { + return detail::RouteChoice {tie, multipath, parallel_edges}; } +constexpr RouteTieBreak kTieBreaks[] = {RouteTieBreak::FewerHops, RouteTieBreak::HigherCapacity, + RouteTieBreak::HigherAvailableCapacity, RouteTieBreak::HigherHeadroom}; + SpfResult run(const Graph& g, std::vector roots, Direction dir, std::optional> targets, - const PathSelection& s, const std::vector* residual = nullptr, Amount min_residual = 1, + const detail::RouteChoice& s, const std::vector* residual = nullptr, Amount min_residual = 1, const Eligibility* elig = nullptr, SpfQueue queue = SpfQueue::Auto) { - SpfOptions o(dir, s); + SpfOptions o(dir); + o.tie_break = s.tie_break; + o.multipath = s.multipath; + o.parallel_edges = s.parallel_edges; o.targets = std::move(targets); if (residual != nullptr) o.residual = std::span(*residual); o.min_residual = min_residual; - o.elig = elig; + o.eligibility = elig; return spf(g, roots, o, queue); } -std::vector edges_of(const PredDAG& dag) { +std::vector edges_of(const PredecessorDAG& dag) { std::vector v(dag.via_edges().begin(), dag.via_edges().end()); std::sort(v.begin(), v.end()); return v; @@ -61,18 +67,18 @@ std::vector sorted(std::vector v) { // The DAG's canonical form: entries grouped by child, strictly ascending via within a child, // every via joining (parent, child); the internal ascending list equals the sorted via. -void expect_canonical(const Graph& g, const PredDAG& dag) { +void expect_canonical(const Graph& g, const PredecessorDAG& dag) { const auto off = dag.parent_offsets(); ASSERT_EQ(off.size(), static_cast(g.num_nodes()) + 1); for (std::size_t v = 0; v + 1 < off.size(); ++v) { for (auto k = off[v]; k < off[v + 1]; ++k) { const auto e = static_cast(dag.via_edges()[static_cast(k)]); - EXPECT_EQ(g.edge_dst()[e], static_cast(v)); - EXPECT_EQ(g.edge_src()[e], dag.parents()[static_cast(k)]); + EXPECT_EQ(g.edge_destinations()[e], static_cast(v)); + EXPECT_EQ(g.edge_sources()[e], dag.parents()[static_cast(k)]); if (k > off[v]) EXPECT_LT(dag.via_edges()[static_cast(k) - 1], dag.via_edges()[static_cast(k)]); } } - const auto asc = detail::PredDAGBuilder::ascending(dag); + const auto asc = detail::PredecessorDAGBuilder::ascending(dag); EXPECT_EQ(std::vector(asc.begin(), asc.end()), edges_of(dag)); } @@ -102,30 +108,30 @@ TEST(Search, MemberGraphIsEligibilityAndResidualNeverCapacity) { TEST(Search, CollapseBySelectAdjacency) { // Parallel 0->1: id 0 cost 1 cap 2, id 1 cost 1 cap 6, id 2 cost 1 cap 4, id 3 cost 2 cap 9. auto g = make_graph(2, {{0, 1, 2, 1}, {0, 1, 6, 1}, {0, 1, 4, 1}, {0, 1, 9, 2}}); - auto member = [&](const PathSelection& s, const std::vector* res = nullptr) { + auto member = [&](const detail::RouteChoice& s, const std::vector* res = nullptr) { return edges_of(run(g, {0}, Direction::Forward, std::nullopt, s, res).dag); }; - // Expand keeps every tight member; Deterministic Collapse the lowest EdgeId among the cheapest. + // Expand keeps every tight member; FEWER_HOPS Collapse the lowest EdgeId among the cheapest. EXPECT_EQ(member(sel()), (std::vector{0, 1, 2})); - // multipath and multi_edge default to true: a full search keeping every tight member. - EXPECT_EQ(member(PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Residual)), (std::vector{0, 1, 2})); + // multipath and parallel_edges default to true: a full search keeping every tight member. + EXPECT_EQ(edges_of(spf(g, std::vector {0}, SpfOptions(Direction::Forward)).dag), (std::vector{0, 1, 2})); EXPECT_EQ(member(sel(true, false)), (std::vector{0})); - // PreferHigherPriority on Capacity: the highest capacity among the cheapest. - EXPECT_EQ(member(sel(true, false, EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity)), (std::vector{1})); - // Residual priority reads the residual; equal residual keeps the lowest id. - const auto resid = sel(true, false, EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual); + // HIGHER_CAPACITY: the highest capacity among the cheapest. + EXPECT_EQ(member(sel(true, false, RouteTieBreak::HigherCapacity)), (std::vector{1})); + // HIGHER_AVAILABLE_CAPACITY reads the residual; an equal residual keeps the lowest id. + const auto resid = sel(true, false, RouteTieBreak::HigherAvailableCapacity); const std::vector r1 = {2, 1, 2, 9}; const std::vector r2 = {1, 1, 3, 9}; EXPECT_EQ(member(resid, &r1), (std::vector{0})); EXPECT_EQ(member(resid, &r2), (std::vector{2})); - // Headroom compares residual / capacity exactly: 1/2 < 4/6 = 2/3 > 2/4. - const auto head = sel(true, false, EdgeTieBreak::PreferHigherPriority, EdgePriority::Headroom); + // HIGHER_HEADROOM compares residual / capacity exactly: 1/2 < 4/6 = 2/3 > 2/4. + const auto head = sel(true, false, RouteTieBreak::HigherHeadroom); const std::vector h1 = {1, 4, 2, 9}; const std::vector h2 = {1, 1, 2, 9}; EXPECT_EQ(member(head, &h1), (std::vector{1})); // Equal rational headroom (2/4 == 1/2): the lowest EdgeId. EXPECT_EQ(member(head, &h2), (std::vector{0})); - // Without a residual the Residual priority reads the static capacities. + // Without a residual HIGHER_AVAILABLE_CAPACITY reads the static capacities. EXPECT_EQ(member(resid), (std::vector{1})); } @@ -137,7 +143,7 @@ TEST(Search, HeadroomRationalsBeyondDoubles) { auto g = make_graph(2, {{0, 1, a, 1}, {0, 1, a + 1, 1}}); const std::vector res = {a - 1, a}; auto r = run(g, {0}, Direction::Forward, std::nullopt, - sel(true, false, EdgeTieBreak::PreferHigherPriority, EdgePriority::Headroom), &res); + sel(true, false, RouteTieBreak::HigherHeadroom), &res); EXPECT_EQ(edges_of(r.dag), (std::vector{1})); } @@ -196,7 +202,7 @@ TEST(Search, CanonicalFormCheckReportsEachDefect) { auto g = make_graph(3, {{0, 1, 1, 1}, {0, 1, 1, 1}, {0, 2, 1, 2}, {1, 2, 1, 1}}); const auto failures = [&](std::vector nodes, std::vector offsets, std::vector parents, std::vector via, std::vector ascending) { - const auto dag = detail::PredDAGBuilder::of_parts(g, std::move(nodes), std::move(offsets), std::move(parents), + const auto dag = detail::PredecessorDAGBuilder::of_parts(g, std::move(nodes), std::move(offsets), std::move(parents), std::move(via), std::move(ascending)); return failures_of([&] { expect_canonical(g, dag); }); }; @@ -279,13 +285,14 @@ TEST(Search, ValidationBeforeAnyWorkInTheContractOrder) { EXPECT_EQ(error_of([&] { (void)run(g, {0}, Direction::Forward, std::nullopt, sel(), &short_res); }), "residual has length 1, expected 2 (one entry per edge)"); EXPECT_EQ(error_of([&] { (void)run(g, {0}, Direction::Forward, std::nullopt, sel(), &big_res); }), - "residual[1] = 3 is outside [0, capacity_units[1] = 2]"); + "residual[1] = 3 is outside [0, edge_capacity_units[1] = 2]"); EXPECT_EQ(error_of([&] { (void)run(g, {0}, Direction::Forward, std::nullopt, sel(), nullptr, 0); }), "min_residual must be at least 1 unit (got 0)"); EXPECT_EQ(error_of([&] { (void)run(g, {0}, Direction::Forward, std::nullopt, sel(), nullptr, 1, &foreign); }), "foreign Eligibility: built for another graph"); // The order when several defects apply: roots before targets before the overlap before the - // single path before the residual before min_residual before the Eligibility. + // single path before the ineffective tie before the residual before min_residual before the + // Eligibility. EXPECT_EQ(error_of([&] { (void)run(g, {}, Direction::Forward, std::vector {}, sel()); }), "roots: the node set is empty"); EXPECT_EQ(error_of([&] { (void)run(g, {0}, Direction::Forward, std::vector {0, 7}, sel()); }), @@ -294,8 +301,13 @@ TEST(Search, ValidationBeforeAnyWorkInTheContractOrder) { "node 0 is in both endpoint sets: roots and targets must not overlap"); EXPECT_EQ(error_of([&] { (void)run(g, {0}, Direction::Forward, std::nullopt, sel(false), &short_res, 0); }), "multipath = false requires targets (the single path joins a root to a target)"); + EXPECT_EQ(error_of([&] { + (void)run(g, {0}, Direction::Forward, std::nullopt, sel(true, true, RouteTieBreak::HigherCapacity), + &short_res, 0); + }), + "spf tie_break requires multipath=False or parallel_edges=False"); EXPECT_EQ(error_of([&] { (void)run(g, {0}, Direction::Forward, std::nullopt, sel(), &big_res, 0, &foreign); }), - "residual[1] = 3 is outside [0, capacity_units[1] = 2]"); + "residual[1] = 3 is outside [0, edge_capacity_units[1] = 2]"); EXPECT_EQ(error_of([&] { (void)run(g, {0}, Direction::Forward, std::nullopt, sel(), &ok_res, 0, &foreign); }), "min_residual must be at least 1 unit (got 0)"); // Every root excluded with valid sets is an empty result, never an error; an excluded root @@ -306,36 +318,34 @@ TEST(Search, ValidationBeforeAnyWorkInTheContractOrder) { EXPECT_EQ(error_of([&] { (void)run(g, {0}, Direction::Forward, std::vector {0}, sel(), nullptr, 1, &none); }), "node 0 is in both endpoint sets: roots and targets must not overlap"); // Enumeration values outside their enumeration, at construction and at the entry. - EXPECT_EQ(error_of([&] { SpfOptions o(static_cast(9), sel()); }), "direction: 9 is not a value of Direction"); - SpfOptions bad(Direction::Forward, sel()); + EXPECT_EQ(error_of([&] { SpfOptions o(static_cast(9)); }), "direction: 9 is not a value of Direction"); + SpfOptions bad(Direction::Forward); bad.direction = static_cast(7); EXPECT_EQ(error_of([&] { (void)spf(g, std::vector {0}, bad); }), "direction: 7 is not a value of Direction"); - SpfOptions bad_sel(Direction::Forward, sel()); - bad_sel.selection.priority = static_cast(5); - EXPECT_EQ(error_of([&] { (void)spf(g, std::vector {0}, bad_sel); }), - "selection.priority: 5 is not a value of EdgePriority"); - SpfOptions good(Direction::Forward, sel()); + SpfOptions bad_tie(Direction::Forward); + bad_tie.tie_break = static_cast(5); + EXPECT_EQ(error_of([&] { (void)spf(g, std::vector {0}, bad_tie); }), + "tie_break: 5 is not a value of RouteTieBreak"); + SpfOptions good(Direction::Forward); EXPECT_EQ(error_of([&] { (void)spf(g, std::vector {0}, good, static_cast(3)); }), "queue: 3 is not a value of SpfQueue"); - // The enumerations come before every other check, in the order direction, the selection (its - // tie break, then its priority), the queue. Each call has every later defect too (empty roots, - // multipath = false without targets, a short residual, min_residual 0, a foreign Eligibility); - // repairing the reported defect moves the error to the next one. - SpfOptions every(Direction::Forward, sel(false)); + // The enumerations come before every other check, in the order direction, tie_break, the queue. + // Each call has every later defect too (empty roots, multipath = false without targets, a short + // residual, min_residual 0, a foreign Eligibility); repairing the reported defect moves the + // error to the next one. + SpfOptions every(Direction::Forward); + every.multipath = false; every.residual = std::span(short_res); every.min_residual = 0; - every.elig = &foreign; + every.eligibility = &foreign; every.direction = static_cast(7); - every.selection.tie_break = static_cast(6); - every.selection.priority = static_cast(5); + every.tie_break = static_cast(6); const auto bad_queue = static_cast(3); const auto staircase_error = [&] { return error_of([&] { (void)spf(g, std::vector {}, every, bad_queue); }); }; EXPECT_EQ(staircase_error(), "direction: 7 is not a value of Direction"); every.direction = Direction::Forward; - EXPECT_EQ(staircase_error(), "selection.tie_break: 6 is not a value of EdgeTieBreak"); - every.selection.tie_break = EdgeTieBreak::Deterministic; - EXPECT_EQ(staircase_error(), "selection.priority: 5 is not a value of EdgePriority"); - every.selection.priority = EdgePriority::Capacity; + EXPECT_EQ(staircase_error(), "tie_break: 6 is not a value of RouteTieBreak"); + every.tie_break = RouteTieBreak::FewerHops; EXPECT_EQ(staircase_error(), "queue: 3 is not a value of SpfQueue"); EXPECT_EQ(error_of([&] { (void)spf(g, std::vector {}, every, SpfQueue::Auto); }), "roots: the node set is empty"); } @@ -361,44 +371,44 @@ TEST(Search, ResidualDefectsReportTheFirstInOrder) { TEST(Search, StagedPathWithASharedBottleneckTakesTheFewestHops) { // s=0 -> v=1 cost 1 prio 1; v -> t=4 cost 3 prio 1; v -> a=2 -> b=3 -> t costs 1+1+1 prio 2. - // Capacities carry the priority. Under PreferHigherPriority the bottleneck of every walk is 1 - // (the shared s->v), so B* = 1 and the canonical walk is the two-hop s, v, t. + // Capacities carry the score. Under HIGHER_CAPACITY the bottleneck of every walk is 1 (the shared + // s->v), so B* = 1 and the canonical walk is the two-hop s, v, t. auto g = make_graph(5, {{0, 1, 1, 1}, {1, 4, 1, 3}, {1, 2, 2, 1}, {2, 3, 2, 1}, {3, 4, 2, 1}}); const auto inv = id_of_input(g); - for (auto tie : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { - auto r = run(g, {0}, Direction::Forward, std::vector {4}, sel(false, true, tie, EdgePriority::Capacity)); + for (auto tie : {RouteTieBreak::FewerHops, RouteTieBreak::HigherCapacity}) { + auto r = run(g, {0}, Direction::Forward, std::vector {4}, sel(false, true, tie)); EXPECT_EQ(edges_of(r.dag), sorted({inv[0], inv[1]})); EXPECT_EQ(r.target_cost, 4); // The reverse call with the roles swapped returns the same walk. - auto rev = run(g, {4}, Direction::Reverse, std::vector {0}, sel(false, true, tie, EdgePriority::Capacity)); + auto rev = run(g, {4}, Direction::Reverse, std::vector {0}, sel(false, true, tie)); EXPECT_EQ(edges_of(rev.dag), edges_of(r.dag)); } } TEST(Search, StagedPathBottleneckThenHopsThenIds) { // Two cost-2 walks 0->1->3 (caps 5, 1) and 0->2->3 (caps 3, 3), and a cost-2 direct edge - // 0->3 of capacity 2. Deterministic: fewest hops, the direct edge. PreferHigherPriority on - // Capacity: B* = 3 (0->2->3), so the two-hop walk. + // 0->3 of capacity 2. FEWER_HOPS: fewest hops, the direct edge. HIGHER_CAPACITY: B* = 3 + // (0->2->3), so the two-hop walk. auto g = make_graph(4, {{0, 1, 5, 1}, {1, 3, 1, 1}, {0, 2, 3, 1}, {2, 3, 3, 1}, {0, 3, 2, 2}}); const auto inv = id_of_input(g); auto det = run(g, {0}, Direction::Forward, std::vector {3}, sel(false)); EXPECT_EQ(edges_of(det.dag), (std::vector{inv[4]})); auto pri = run(g, {0}, Direction::Forward, std::vector {3}, - sel(false, true, EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity)); + sel(false, true, RouteTieBreak::HigherCapacity)); EXPECT_EQ(edges_of(pri.dag), sorted({inv[2], inv[3]})); - // Residual priority reads the residual: on capacities 5 everywhere and residuals by input + // HIGHER_AVAILABLE_CAPACITY reads the residual: on capacities 5 everywhere and residuals by input // [5, 4, 1, 3, 2], 0->1->3 has bottleneck 4, 0->2->3 has 1, the direct edge 2: B* = 4. auto g5 = make_graph(4, {{0, 1, 5, 1}, {1, 3, 5, 1}, {0, 2, 5, 1}, {2, 3, 5, 1}, {0, 3, 5, 2}}); const auto inv5 = id_of_input(g5); const auto residual = to_ids(g5, std::vector {5, 4, 1, 3, 2}); auto res = run(g5, {0}, Direction::Forward, std::vector {3}, - sel(false, true, EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual), &residual); + sel(false, true, RouteTieBreak::HigherAvailableCapacity), &residual); EXPECT_EQ(edges_of(res.dag), sorted({inv5[0], inv5[1]})); - // Capacity priority on the same graph: every walk has bottleneck 5, so hops decide. + // HIGHER_CAPACITY on the same graph: every walk has bottleneck 5, so hops decide. auto cap5 = run(g5, {0}, Direction::Forward, std::vector {3}, - sel(false, true, EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity), &residual); + sel(false, true, RouteTieBreak::HigherCapacity), &residual); EXPECT_EQ(edges_of(cap5.dag), (std::vector{inv5[4]})); - // Deterministic ignores capacities and residuals entirely. + // FEWER_HOPS ignores capacities and residuals entirely. auto det_res = run(g5, {0}, Direction::Forward, std::vector {3}, sel(false), &residual); EXPECT_EQ(edges_of(det_res.dag), (std::vector{inv5[4]})); } @@ -412,8 +422,8 @@ TEST(Search, StagedPathPrefixTrapNeedsTheFullKey) { const auto inv = id_of_input(g); for (auto dir : {Direction::Forward, Direction::Reverse}) { auto r = dir == Direction::Forward - ? run(g, {0}, dir, std::vector {3}, sel(false, true, EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity)) - : run(g, {3}, dir, std::vector {0}, sel(false, true, EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity)); + ? run(g, {0}, dir, std::vector {3}, sel(false, true, RouteTieBreak::HigherCapacity)) + : run(g, {3}, dir, std::vector {0}, sel(false, true, RouteTieBreak::HigherCapacity)); EXPECT_EQ(edges_of(r.dag), sorted({inv[0], inv[3]})); } } @@ -429,21 +439,21 @@ TEST(Search, MultiRootSinglePathStartsAtTheNearestRootByHops) { TEST(Search, StagedPathTiesGoToTheSmallerEdgeIdSequence) { // The diamond (0-1-3 and 0-2-3 both cost 10) takes 0-2-3, - // whose edge-id sequence is smaller; the equal three-hop graph takes 0-1-4-5. Both tie modes - // (all capacities 1: priority ties), both directions. + // whose edge-id sequence is smaller; the equal three-hop graph takes 0-1-4-5. Every tie_break + // (all capacities 1: score ties), both directions. auto diamond = make_graph(4, {{0, 1, 1, 9}, {0, 2, 1, 1}, {1, 3, 1, 1}, {2, 3, 1, 9}}); auto three = make_graph(6, {{0, 2, 1, 1}, {2, 3, 1, 1}, {3, 5, 1, 1}, {0, 1, 1, 1}, {1, 4, 1, 1}, {4, 5, 1, 1}}); - auto nodes_of = [](const Graph& g, const PredDAG& dag) { + auto nodes_of = [](const Graph& g, const PredecessorDAG& dag) { std::set out; for (EdgeId e : edges_of(dag)) { - out.insert(g.edge_src()[static_cast(e)]); - out.insert(g.edge_dst()[static_cast(e)]); + out.insert(g.edge_sources()[static_cast(e)]); + out.insert(g.edge_destinations()[static_cast(e)]); } return out; }; - for (auto tie : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { - for (auto prio : {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}) { - const auto s = sel(false, true, tie, prio); + for (auto tie : kTieBreaks) { + { + const auto s = sel(false, true, tie); auto a = run(diamond, {0}, Direction::Forward, std::vector {3}, s); EXPECT_EQ(nodes_of(diamond, a.dag), (std::set{0, 2, 3})); auto ar = run(diamond, {3}, Direction::Reverse, std::vector {0}, s); @@ -465,7 +475,7 @@ struct RandomCase { bool use_res; Amount min_residual; std::optional elig; - PathSelection selection; + detail::RouteChoice choice; Direction direction; std::vector roots; std::optional> targets; @@ -484,9 +494,8 @@ ref::Query query_of(const RandomCase& c) { q.elig = c.elig ? &*c.elig : nullptr; q.residual = c.use_res ? &c.residual : nullptr; q.min_residual = c.min_residual; - q.multi_edge = c.selection.multi_edge; - q.prefer = c.selection.tie_break == EdgeTieBreak::PreferHigherPriority; - q.priority = c.selection.priority; + q.parallel_edges = c.choice.parallel_edges; + q.tie_break = c.choice.tie_break; return q; } @@ -512,7 +521,7 @@ Expected expect_of(const RandomCase& c) { auto [dstar, edges] = ref::pruned(g, mem, starts, ends); if (dstar == ref::kNone) return out; out.target_cost = dstar; - if (!c.selection.single_path()) { + if (!c.choice.single_path()) { out.edges.assign(edges.begin(), edges.end()); } else { auto walk = ref::canonical(q, mem, starts, ends); @@ -523,22 +532,25 @@ Expected expect_of(const RandomCase& c) { } // namespace +// A HIGHER_* tie_break with multipath and parallel_edges both true is rejected (nothing to choose); +// such a draw checks the rejection, then runs with FEWER_HOPS. TEST(Search, RandomQueriesAgreeWithTheReferenceOnBothQueues) { std::mt19937 rng(20261006); - int full = 0; // full searches that keep an edge - int multipath = 0; // multipath target searches that reach a target - int single = 0; // single-path target searches that reach a target + int full = 0; // full searches that keep an edge + int multipath = 0; // multipath target searches that reach a target + int single = 0; // single-path target searches that reach a target + int ineffective = 0; // draws of the rejected combination for (int trial = 0; trial < 3000; ++trial) { const int n = 2 + static_cast(rng() % 7); const int m = static_cast(rng() % 16); - const Cost max_cost = (trial % 5 == 0) ? 40 : 4; + const Cost max_edge_cost = (trial % 5 == 0) ? 40 : 4; const Cost scale = (trial % 7 == 0) ? 3 : 1; // a common gcd above 1 - RandomCase c {random_graph(rng, n, m, max_cost, scale), {}, (rng() % 2) == 0, 1 + static_cast(rng() % 3), - std::nullopt, PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity), + RandomCase c {random_graph(rng, n, m, max_edge_cost, scale), {}, (rng() % 2) == 0, 1 + static_cast(rng() % 3), + std::nullopt, sel(), (rng() % 2) == 0 ? Direction::Forward : Direction::Reverse, {}, std::nullopt}; c.residual.resize(static_cast(c.g.num_edges())); for (std::size_t e = 0; e < c.residual.size(); ++e) { - const Amount cap = c.g.capacity_units()[e]; + const Amount cap = c.g.edge_capacity_units()[e]; c.residual[e] = cap == 0 ? 0 : static_cast(rng() % static_cast(cap + 1)); } if (rng() % 3 == 0) { @@ -548,10 +560,13 @@ TEST(Search, RandomQueriesAgreeWithTheReferenceOnBothQueues) { if (c.g.num_edges() > 0 && rng() % 2 == 0) xe.push_back(static_cast(rng() % static_cast(c.g.num_edges()))); c.elig = c.g.eligibility(xn, xe); } - const EdgePriority prios[3] = {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}; + const RouteTieBreak higher[3] = {RouteTieBreak::HigherAvailableCapacity, RouteTieBreak::HigherCapacity, + RouteTieBreak::HigherHeadroom}; const bool with_targets = (rng() % 3) != 0; - c.selection = PathSelection((rng() % 2) == 0 ? EdgeTieBreak::Deterministic : EdgeTieBreak::PreferHigherPriority, - prios[rng() % 3], !with_targets || (rng() % 2) == 0, (rng() % 2) == 0); + const bool prefer = (rng() % 2) != 0; + const RouteTieBreak tie = prefer ? higher[rng() % 3] : RouteTieBreak::FewerHops; + const bool mp = !with_targets || (rng() % 2) == 0; + c.choice = sel(mp, (rng() % 2) == 0, tie); // Disjoint random root and target sets (duplicates allowed in the input). std::vector perm(static_cast(n)); std::iota(perm.begin(), perm.end(), 0); @@ -564,9 +579,19 @@ TEST(Search, RandomQueriesAgreeWithTheReferenceOnBothQueues) { c.targets = std::vector(perm.begin() + static_cast(nr), perm.begin() + static_cast(std::min(perm.size(), nr + nt))); } + if (c.choice.prefers_score() && c.choice.multipath && c.choice.parallel_edges) { + ASSERT_EQ(error_of([&] { + (void)run(c.g, c.roots, c.direction, c.targets, c.choice, c.use_res ? &c.residual : nullptr, + c.min_residual, c.elig ? &*c.elig : nullptr); + }), + "spf tie_break requires multipath=False or parallel_edges=False") + << "trial " << trial; + ++ineffective; + c.choice.tie_break = RouteTieBreak::FewerHops; + } const auto want = expect_of(c); for (auto queue : {SpfQueue::Auto, SpfQueue::Heap}) { - auto got = run(c.g, c.roots, c.direction, c.targets, c.selection, c.use_res ? &c.residual : nullptr, c.min_residual, + auto got = run(c.g, c.roots, c.direction, c.targets, c.choice, c.use_res ? &c.residual : nullptr, c.min_residual, c.elig ? &*c.elig : nullptr, queue); ASSERT_EQ(got.costs, want.costs) << "trial " << trial; ASSERT_EQ(edges_of(got.dag), want.edges) << "trial " << trial << " queue " << static_cast(queue); @@ -575,18 +600,19 @@ TEST(Search, RandomQueriesAgreeWithTheReferenceOnBothQueues) { } full += !c.targets.has_value() && !want.edges.empty() ? 1 : 0; const bool reached = c.targets.has_value() && want.target_cost != kUnreachable; - multipath += reached && !c.selection.single_path() ? 1 : 0; - single += reached && c.selection.single_path() ? 1 : 0; + multipath += reached && !c.choice.single_path() ? 1 : 0; + single += reached && c.choice.single_path() ? 1 : 0; } EXPECT_GT(full, 300); EXPECT_GT(multipath, 300); EXPECT_GT(single, 300); + EXPECT_GT(ineffective, 300); } namespace { // Whether the hop count decides a single-path query's canonical walk: another walk ties it on -// cost (and bottleneck under PreferHigherPriority) with more hops but a smaller edge-id sequence. +// cost (and bottleneck under a HIGHER_* tie_break) with more hops but a smaller edge-id sequence. bool hops_decide(const RandomCase& c) { const ref::Query q = query_of(c); const auto mem = ref::members(q); @@ -600,7 +626,7 @@ bool hops_decide(const RandomCase& c) { const std::vector& walk = *canonical; for (const auto& w : ref::all_walks(c.g, mem, starts, ends)) { if (ref::walk_cost(c.g, w) == ref::walk_cost(c.g, walk) && - (!q.prefer || ref::cmp(ref::bottleneck(q, w), ref::bottleneck(q, walk)) == 0) && w.size() > walk.size() && + (!q.prefer() || ref::cmp(ref::bottleneck(q, w), ref::bottleneck(q, walk)) == 0) && w.size() > walk.size() && w < walk) { return true; } @@ -613,28 +639,28 @@ bool hops_decide(const RandomCase& c) { // The single-path rules that the random comparison above reaches only now and then, on a // population built for them: a few nodes joined by many parallel edges of cost 1 or 2, a residual // on every query, one root and one target. Each rule is guarded by the trials in which it decides -// the reference's answer, against a twin query without it: the Headroom ratio (the twin reads the -// residual alone), the capacity priority (the twin reads the residual), the bottleneck key under -// PreferHigherPriority (the twin breaks ties deterministically, on Expand member graphs, where the -// tie mode decides nothing else), and the hop count (hops_decide). Both queues agree with the -// reference on every trial. +// the reference's answer, against a twin query without it: the HIGHER_HEADROOM ratio (the twin +// reads the residual alone), HIGHER_CAPACITY (the twin reads the residual), the bottleneck key of a +// HIGHER_* tie_break (the twin takes FEWER_HOPS, on Expand member graphs, where the tie_break +// decides nothing else), and the hop count (hops_decide). Both queues agree with the reference on +// every trial. TEST(Search, RandomSinglePathsExerciseEveryKeyRule) { std::mt19937 rng(20261010); int headroom = 0, capacity = 0, bottleneck = 0, hops = 0; for (int trial = 0; trial < 8000; ++trial) { const int n = 3 + static_cast(rng() % 4); const int m = 6 + static_cast(rng() % 14); - const EdgePriority prios[3] = {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}; - const EdgePriority prio = prios[rng() % 3]; + const RouteTieBreak higher[3] = {RouteTieBreak::HigherAvailableCapacity, RouteTieBreak::HigherCapacity, + RouteTieBreak::HigherHeadroom}; + const RouteTieBreak prio = higher[rng() % 3]; const bool prefer = rng() % 4 != 0; const bool expand = rng() % 2 == 0; RandomCase c {random_graph(rng, n, m, 2), {}, true, 1, std::nullopt, - PathSelection(prefer ? EdgeTieBreak::PreferHigherPriority : EdgeTieBreak::Deterministic, prio, false, - expand), + sel(false, expand, prefer ? prio : RouteTieBreak::FewerHops), (rng() % 2) == 0 ? Direction::Forward : Direction::Reverse, {}, std::nullopt}; c.residual.resize(static_cast(c.g.num_edges())); for (std::size_t e = 0; e < c.residual.size(); ++e) { - const Amount cap = c.g.capacity_units()[e]; + const Amount cap = c.g.edge_capacity_units()[e]; c.residual[e] = cap == 0 ? 0 : static_cast(rng() % static_cast(cap + 1)); } const auto root = static_cast(rng() % static_cast(n)); @@ -642,7 +668,7 @@ TEST(Search, RandomSinglePathsExerciseEveryKeyRule) { c.targets = std::vector {static_cast((root + 1 + rng() % static_cast(n - 1)) % n)}; const auto want = expect_of(c); for (auto queue : {SpfQueue::Auto, SpfQueue::Heap}) { - auto got = run(c.g, c.roots, c.direction, c.targets, c.selection, &c.residual, c.min_residual, nullptr, queue); + auto got = run(c.g, c.roots, c.direction, c.targets, c.choice, &c.residual, c.min_residual, nullptr, queue); ASSERT_EQ(edges_of(got.dag), want.edges) << "trial " << trial << " queue " << static_cast(queue); ASSERT_EQ(got.target_cost, want.target_cost) << "trial " << trial; } @@ -652,11 +678,11 @@ TEST(Search, RandomSinglePathsExerciseEveryKeyRule) { change(twin); return expect_of(twin).edges != want.edges ? 1 : 0; }; - const auto residual_only = [](RandomCase& t) { t.selection.priority = EdgePriority::Residual; }; - if (prio == EdgePriority::Headroom) headroom += differs(residual_only); - if (prio == EdgePriority::Capacity) capacity += differs(residual_only); + const auto residual_only = [](RandomCase& t) { t.choice.tie_break = RouteTieBreak::HigherAvailableCapacity; }; + if (prefer && prio == RouteTieBreak::HigherHeadroom) headroom += differs(residual_only); + if (prefer && prio == RouteTieBreak::HigherCapacity) capacity += differs(residual_only); if (prefer && expand) { - bottleneck += differs([](RandomCase& t) { t.selection.tie_break = EdgeTieBreak::Deterministic; }); + bottleneck += differs([](RandomCase& t) { t.choice.tie_break = RouteTieBreak::FewerHops; }); } hops += hops_decide(c) ? 1 : 0; } @@ -670,9 +696,9 @@ TEST(Search, RandomSinglePathsExerciseEveryKeyRule) { TEST(Search, DirectionsWithExchangedEndpointsDescribeTheSameWalks) { // A forward search from S with targets T and a reverse search rooted at T with targets S give - // the same pruned DAG, target cost and single path, for both tie modes with and without - // multipath and multi-edge, under the capacity priority (the other priorities are compared with - // the reference in RandomQueriesAgreeWithTheReferenceOnBothQueues). + // the same pruned DAG, target cost and single path, under FEWER_HOPS and HIGHER_CAPACITY with and + // without multipath and parallel edges (HIGHER_CAPACITY not with both, where it is rejected; the + // other tie rules are compared with the reference in RandomQueriesAgreeWithTheReferenceOnBothQueues). std::mt19937 rng(7); int reached = 0; // comparisons where a target is reached (a non-empty DAG) for (int trial = 0; trial < 500; ++trial) { @@ -683,10 +709,11 @@ TEST(Search, DirectionsWithExchangedEndpointsDescribeTheSameWalks) { std::shuffle(perm.begin(), perm.end(), rng); std::vector s(perm.begin(), perm.begin() + 1 + static_cast(rng() % 2)); std::vector t(perm.end() - 1 - static_cast(rng() % 2), perm.end()); - for (auto tie : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { + for (auto tie : {RouteTieBreak::FewerHops, RouteTieBreak::HigherCapacity}) { for (bool mp : {true, false}) { for (bool me : {true, false}) { - const auto s1 = sel(mp, me, tie, EdgePriority::Capacity); + if (tie != RouteTieBreak::FewerHops && mp && me) continue; + const auto s1 = sel(mp, me, tie); auto f = run(g, s, Direction::Forward, t, s1); auto r = run(g, t, Direction::Reverse, s, s1); ASSERT_EQ(f.target_cost, r.target_cost) << trial; @@ -697,14 +724,14 @@ TEST(Search, DirectionsWithExchangedEndpointsDescribeTheSameWalks) { } } RecordProperty("reached", reached); - EXPECT_GT(reached, 1500); // not vacuous: of 4000 comparisons + EXPECT_GT(reached, 1500); // not vacuous: of 3500 comparisons } -TEST(Search, TieModesShareTheDagOfAFixedMemberGraph) { - // Under Expand the member graph does not depend on the tie mode or the priority, so neither - // does the DAG; under Collapse the member may differ (and with it the DAG). Half of the graphs, - // with and without targets, have a random residual (0 to the capacity), so the residual and - // headroom priorities read values that differ from the capacities. +TEST(Search, TieBreakWithEveryRouteAndEveryParallelEdgeIsRejected) { + // With multipath and parallel_edges both true the DAG keeps every tight member and every + // equal-cost walk, so a tie rule has nothing to choose: every HIGHER_* tie_break is rejected, + // before the residual, and FEWER_HOPS (never a hop-count prune) gives that DAG. Half of the + // graphs, with and without targets, have a random residual (0 to the capacity). std::mt19937 rng(11); int nonempty = 0; int with_residual = 0; // nonempty DAGs under a residual @@ -716,7 +743,7 @@ TEST(Search, TieModesShareTheDagOfAFixedMemberGraph) { if (trial % 4 < 2) { res.resize(static_cast(g.num_edges())); for (std::size_t e = 0; e < res.size(); ++e) { - const Amount cap = g.capacity_units()[e]; + const Amount cap = g.edge_capacity_units()[e]; res[e] = cap == 0 ? 0 : static_cast(rng() % static_cast(cap + 1)); } } @@ -724,10 +751,13 @@ TEST(Search, TieModesShareTheDagOfAFixedMemberGraph) { const auto base = edges_of(run(g, {0}, Direction::Forward, t, sel(), r).dag); nonempty += base.empty() ? 0 : 1; with_residual += !base.empty() && r != nullptr ? 1 : 0; - for (auto tie : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { - for (auto prio : {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}) { - EXPECT_EQ(edges_of(run(g, {0}, Direction::Forward, t, sel(true, true, tie, prio), r).dag), base) << trial; - } + const RandomCase c {g, res, r != nullptr, 1, std::nullopt, sel(), Direction::Forward, {0}, t}; + EXPECT_EQ(base, expect_of(c).edges) << trial; + for (auto tie : kTieBreaks) { + if (tie == RouteTieBreak::FewerHops) continue; + EXPECT_EQ(error_of([&] { (void)run(g, {0}, Direction::Forward, t, sel(true, true, tie), r); }), + "spf tie_break requires multipath=False or parallel_edges=False") + << trial; } } RecordProperty("nonempty", nonempty); @@ -741,8 +771,9 @@ TEST(Search, CapacityAndResidualValuesActOnlyThroughTheMemberGraph) { // every positive capacity by 1 to 5 units (a zero capacity stays zero). On half of the trials // each gets a residual that gates the same edges at min_residual (1 or 2 units) with other // values. The member graph is then the same, so the DAG must be: in both directions, with and - // without targets, under every tie mode and priority keeping every member, and under the - // Deterministic member rule (which reads no capacity or residual value). + // without targets, under the FEWER_HOPS rules, which read no capacity or residual value: every + // member and every walk, one member per (u, v) pair, and with targets the single path with and + // without parallel edges. std::mt19937 rng(23); int nonempty = 0; int gated = 0; // nonempty DAGs where the residual excluded an edge of at least 1 unit @@ -751,17 +782,17 @@ TEST(Search, CapacityAndResidualValuesActOnlyThroughTheMemberGraph) { const auto m = static_cast(g.num_edges()); std::vector rows; for (std::size_t e = 0; e < m; ++e) { - const Amount cap = g.capacity_units()[e]; - rows.push_back({g.edge_src()[e], g.edge_dst()[e], cap == 0 ? 0 : cap + 1 + static_cast(rng() % 5), - g.cost()[e]}); + const Amount cap = g.edge_capacity_units()[e]; + rows.push_back({g.edge_sources()[e], g.edge_destinations()[e], cap == 0 ? 0 : cap + 1 + static_cast(rng() % 5), + g.edge_costs()[e]}); } auto h = make_graph(6, rows); for (std::size_t e = 0; e < m; ++e) { - ASSERT_EQ(h.edge_src()[e], g.edge_src()[e]); - ASSERT_EQ(h.edge_dst()[e], g.edge_dst()[e]); - ASSERT_EQ(h.cost()[e], g.cost()[e]); - const Amount cg = g.capacity_units()[e]; - ASSERT_TRUE(cg == 0 ? h.capacity_units()[e] == 0 : h.capacity_units()[e] > cg); + ASSERT_EQ(h.edge_sources()[e], g.edge_sources()[e]); + ASSERT_EQ(h.edge_destinations()[e], g.edge_destinations()[e]); + ASSERT_EQ(h.edge_costs()[e], g.edge_costs()[e]); + const Amount cg = g.edge_capacity_units()[e]; + ASSERT_TRUE(cg == 0 ? h.edge_capacity_units()[e] == 0 : h.edge_capacity_units()[e] > cg); } std::vector rg; std::vector rh; @@ -769,8 +800,8 @@ TEST(Search, CapacityAndResidualValuesActOnlyThroughTheMemberGraph) { bool excluded = false; if (trial % 2 == 0) { for (std::size_t e = 0; e < m; ++e) { - const Amount cg = g.capacity_units()[e]; - const Amount ch = h.capacity_units()[e]; + const Amount cg = g.edge_capacity_units()[e]; + const Amount ch = h.edge_capacity_units()[e]; rg.push_back(cg == 0 ? 0 : static_cast(rng() % static_cast(cg + 1))); if (rg.back() >= minr) { rh.push_back(minr + static_cast(rng() % static_cast(ch - minr + 1))); @@ -784,13 +815,11 @@ TEST(Search, CapacityAndResidualValuesActOnlyThroughTheMemberGraph) { const std::vector* res_h = rh.empty() ? nullptr : &rh; std::optional> t; if (trial % 4 < 2) t = std::vector {5}; - std::vector sels; - for (auto tie : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { - for (auto prio : {EdgePriority::Residual, EdgePriority::Capacity, EdgePriority::Headroom}) { - sels.push_back(sel(true, true, tie, prio)); - } + std::vector sels {sel(true, true), sel(true, false)}; + if (t.has_value()) { + sels.push_back(sel(false, true)); + sels.push_back(sel(false, false)); } - sels.push_back(sel(true, false, EdgeTieBreak::Deterministic, EdgePriority::Capacity)); for (const Direction dir : {Direction::Forward, Direction::Reverse}) { for (const auto& s : sels) { const auto want = edges_of(run(g, {0}, dir, t, s, res_g, minr).dag); @@ -802,12 +831,12 @@ TEST(Search, CapacityAndResidualValuesActOnlyThroughTheMemberGraph) { } RecordProperty("nonempty", nonempty); RecordProperty("gated", gated); - EXPECT_GT(nonempty, 1500); // not vacuous: of 300 x 2 x 7 = 4200 comparisons (this seed: 2205) - EXPECT_GT(gated, 500); // of the 2100 comparisons under a residual (this seed: 840) + EXPECT_GT(nonempty, 700); // not vacuous: of 150 x 2 x 4 + 150 x 2 x 2 = 1800 comparisons (this seed: 1018) + EXPECT_GT(gated, 200); // of the 900 comparisons under a residual (this seed: 314) } TEST(Search, QueueDispatchAtTheWidthLimit) { - // W = max_cost / gcd + 1: 65,535 / 1 + 1 = 65,536 buckets (the limit) and 65,536 + 1 above it; + // W = max_edge_cost / gcd + 1: 65,535 / 1 + 1 = 65,536 buckets (the limit) and 65,536 + 1 above it; // a large common gcd makes the width 2 big / big + 1 = 3; a graph without edges has width 1. // The widths and the dispatch rule (Auto takes the bucket queue up to the limit, Heap never) // hold in every build; the queue each search takes is counted by a private hook. @@ -831,7 +860,7 @@ TEST(Search, QueueDispatchAtTheWidthLimit) { auto queue_of = [&](const Graph& g, SpfQueue q) { const auto before = counts; auto r = run(g, {0}, Direction::Forward, std::nullopt, sel(), nullptr, 1, nullptr, q); - EXPECT_EQ(*r.costs, (std::vector{0, g.cost()[0], kUnreachable})); + EXPECT_EQ(*r.costs, (std::vector{0, g.edge_costs()[0], kUnreachable})); return counts.buckets > before.buckets ? std::string("buckets") : std::string("heap"); }; EXPECT_EQ(queue_of(at, SpfQueue::Auto), "buckets"); @@ -851,7 +880,7 @@ namespace { std::pair, std::vector> dijkstra(const Graph& g, const std::vector& roots) { std::vector> out(static_cast(g.num_nodes())); for (std::size_t e = 0; e < static_cast(g.num_edges()); ++e) { - out[static_cast(g.edge_src()[e])].push_back(e); + out[static_cast(g.edge_sources()[e])].push_back(e); } std::vector d(static_cast(g.num_nodes()), kUnreachable); std::priority_queue, std::vector>, std::greater<>> pq; @@ -864,18 +893,18 @@ std::pair, std::vector> dijkstra(const Graph& g, const pq.pop(); if (du != d[static_cast(u)]) continue; for (std::size_t e : out[static_cast(u)]) { - const auto v = static_cast(g.edge_dst()[e]); - if (du + g.cost()[e] < d[v]) { - d[v] = du + g.cost()[e]; + const auto v = static_cast(g.edge_destinations()[e]); + if (du + g.edge_costs()[e] < d[v]) { + d[v] = du + g.edge_costs()[e]; pq.emplace(d[v], static_cast(v)); } } } std::vector tight; for (std::size_t e = 0; e < static_cast(g.num_edges()); ++e) { - const Cost du = d[static_cast(g.edge_src()[e])]; - const Cost dv = d[static_cast(g.edge_dst()[e])]; - if (du != kUnreachable && dv != kUnreachable && du + g.cost()[e] == dv) { + const Cost du = d[static_cast(g.edge_sources()[e])]; + const Cost dv = d[static_cast(g.edge_destinations()[e])]; + if (du != kUnreachable && dv != kUnreachable && du + g.edge_costs()[e] == dv) { tight.push_back(static_cast(e)); } } @@ -951,8 +980,8 @@ TEST(Search, EarlyStopsLeaveNothingForTheNextQuery) { TEST(Search, LargeGraphsBothQueuesIdentical) { // Every SpfResult field identical on both queues, on graphs where Auto takes the buckets: in // both directions, the full multipath search and the target searches (multipath, and single - // path under each tie mode; a single-path search needs targets), with and without multi_edge - // across the shapes. + // path under FEWER_HOPS and HIGHER_CAPACITY; a single-path search needs targets), with and + // without parallel edges across the shapes. std::mt19937 rng(17); int reached = 0; for (int shape = 0; shape < 3; ++shape) { @@ -961,8 +990,8 @@ TEST(Search, LargeGraphsBothQueuesIdentical) { int k = 0; for (const Direction dir : {Direction::Forward, Direction::Reverse}) { for (int kind = 0; kind < 4; ++kind, ++k) { - const auto tie = kind == 3 ? EdgeTieBreak::PreferHigherPriority : EdgeTieBreak::Deterministic; - const auto s = sel(kind < 2, (kind + shape) % 2 == 0, tie, EdgePriority::Capacity); + const auto tie = kind == 3 ? RouteTieBreak::HigherCapacity : RouteTieBreak::FewerHops; + const auto s = sel(kind < 2, (kind + shape) % 2 == 0, tie); std::optional> t; if (kind > 0) t = std::vector {static_cast(100 + k), static_cast(900 + k)}; auto a = run(g, {static_cast(k)}, dir, t, s, nullptr, 1, nullptr, SpfQueue::Auto); @@ -978,10 +1007,11 @@ TEST(Search, LargeGraphsBothQueuesIdentical) { } TEST(Search, InternalEntriesMatchThePublicSearch) { - // route_search (T1's CSPF: the single path, in walk order), support_route (CostOnly on the cached + // route_search (T1's CSPF: the single path, in walk order), support_route (ShortestPaths on the cached // support) and - // static_costs (rosters) against spf on the same questions; support_route under residual - // priority views against the independent reference (search_reference.hpp). + // static_costs (rosters) against spf on the same questions; support_route under HIGHER_* scores + // read on a residual view against the independent reference (search_reference.hpp). A HIGHER_* + // tie_break never meets multipath and parallel_edges both true (the configuration rejects it). std::mt19937 rng(23); int routed = 0; // gated route searches that reach a destination int projected = 0; // static projections that reach a destination @@ -995,18 +1025,19 @@ TEST(Search, InternalEntriesMatchThePublicSearch) { if (n > 4 && rng() % 2 == 0) dests.insert(dests.begin(), static_cast(n - 2)); std::vector residual(static_cast(g.num_edges())); for (std::size_t e = 0; e < residual.size(); ++e) { - const Amount cap = g.capacity_units()[e]; + const Amount cap = g.edge_capacity_units()[e]; residual[e] = cap == 0 ? 0 : static_cast(rng() % static_cast(cap + 1)); } for (bool mp : {true, false}) { for (bool me : {true, false}) { - for (auto tie : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { - const auto s = sel(mp, me, tie, EdgePriority::Residual); + for (bool prefer : {false, true}) { + if (prefer && mp && me) continue; + const auto s = sel(mp, me, prefer ? RouteTieBreak::HigherAvailableCapacity : RouteTieBreak::FewerHops); // T1's CSPF: gated at 2 units on the residual, the single path (it reads no multipath) // in walk order from src. if (!mp) { auto want = run(g, {src}, Direction::Forward, dests, s, &residual, 2); - auto got = detail::route_search(g, detail::Gate {nullptr, residual, 2}, s, src, dests); + auto got = detail::route_search(g, detail::SearchFilter {nullptr, residual, 2}, s, src, dests); if (want.target_cost == kUnreachable) { EXPECT_FALSE(got.has_value()); } else { @@ -1014,8 +1045,8 @@ TEST(Search, InternalEntriesMatchThePublicSearch) { EXPECT_EQ(got->cost, *want.target_cost); NodeId at = src; for (EdgeId e : got->edges) { - EXPECT_EQ(g.edge_src()[static_cast(e)], at); - at = g.edge_dst()[static_cast(e)]; + EXPECT_EQ(g.edge_sources()[static_cast(e)], at); + at = g.edge_destinations()[static_cast(e)]; } auto sorted = got->edges; std::sort(sorted.begin(), sorted.end()); @@ -1023,12 +1054,12 @@ TEST(Search, InternalEntriesMatchThePublicSearch) { ++routed; } } - // CostOnly: the static support toward dests projected with static priorities equals the - // static search from src (no residual: Residual reads the capacities). + // ShortestPaths: the static support toward dests projected with static scores equals the + // static search from src (no residual: HIGHER_AVAILABLE_CAPACITY reads the capacities). const auto support = detail::static_support(g, dests, Direction::Reverse, nullptr); - const detail::PriorityValues values {&g, EdgePriority::Residual, {}}; - auto proj = detail::support_route(g, detail::PredDAGBuilder::ascending(support), src, dests, s, - detail::PriorityFn::of(values)); + const detail::PriorityValues values {&g, s.tie_break, {}}; + auto proj = detail::support_route(g, detail::PredecessorDAGBuilder::ascending(support), src, dests, s, + detail::PriorityReader::of(values)); auto stat = run(g, {src}, Direction::Forward, dests, s); if (stat.target_cost == kUnreachable) { EXPECT_TRUE(proj.edges.empty()); @@ -1037,22 +1068,25 @@ TEST(Search, InternalEntriesMatchThePublicSearch) { EXPECT_EQ(proj.cost, *stat.target_cost); ++projected; } - // CostOnly creation reads its priorities on a residual view without gating on it: - // the projection of the static support under each priority read on `residual` equals - // the independent reference's walks (or canonical path) over the static member graph - // with that priority, gated at no residual (min_residual 0). - for (auto prio : {EdgePriority::Residual, EdgePriority::Headroom, EdgePriority::Capacity}) { - const auto sp = sel(mp, me, tie, prio); + // ShortestPaths creation reads its scores on a residual view without gating on it: the + // projection of the static support under each tie_break read on `residual` equals the + // independent reference's walks (or canonical path) over the static member graph with + // that tie_break, gated at no residual (min_residual 0). + const std::vector ties = + prefer ? std::vector {RouteTieBreak::HigherAvailableCapacity, RouteTieBreak::HigherHeadroom, + RouteTieBreak::HigherCapacity} + : std::vector {RouteTieBreak::FewerHops}; + for (auto prio : ties) { + const auto sp = sel(mp, me, prio); const detail::PriorityValues on_residual {&g, prio, residual}; - auto rproj = detail::support_route(g, detail::PredDAGBuilder::ascending(support), src, dests, sp, - detail::PriorityFn::of(on_residual)); + auto rproj = detail::support_route(g, detail::PredecessorDAGBuilder::ascending(support), src, dests, sp, + detail::PriorityReader::of(on_residual)); ref::Query q; q.g = &g; q.residual = &residual; q.min_residual = 0; - q.multi_edge = me; - q.prefer = tie == EdgeTieBreak::PreferHigherPriority; - q.priority = prio; + q.parallel_edges = me; + q.tie_break = prio; const auto mem = ref::members(q); const auto [dstar, walks] = ref::pruned(g, mem, {src}, dests); if (dstar == ref::kNone) { @@ -1061,7 +1095,7 @@ TEST(Search, InternalEntriesMatchThePublicSearch) { } std::vector want(walks.begin(), walks.end()); if (!mp) want = sorted(*ref::canonical(q, mem, {src}, dests)); - EXPECT_EQ(rproj.edges, want) << "trial " << trial << " priority " << static_cast(prio); + EXPECT_EQ(rproj.edges, want) << "trial " << trial << " tie_break " << static_cast(prio); EXPECT_EQ(rproj.cost, dstar) << trial; ++residual_views; if (rproj.edges != proj.edges) ++view_changes; @@ -1101,10 +1135,10 @@ TEST(Search, ReverseSupportsOrderEveryTailsEdgesAtAnyDegree) { } for (NodeId s = 2; s < 2 + spokes; ++s) edges.push_back({s, root, 4, 1}); const Graph g = make_graph(2 + spokes, edges); - ASSERT_EQ(g.row_offsets()[2] - g.row_offsets()[1], degree); + ASSERT_EQ(g.outgoing_offsets()[2] - g.outgoing_offsets()[1], degree); for (bool with_elig : {false, true}) { std::optional elig; - if (with_elig) elig = g.eligibility(std::vector {5}, std::vector {g.row_offsets()[1]}); + if (with_elig) elig = g.eligibility(std::vector {5}, std::vector {g.outgoing_offsets()[1]}); ref::Query q; q.g = &g; q.elig = elig ? &*elig : nullptr; @@ -1112,14 +1146,14 @@ TEST(Search, ReverseSupportsOrderEveryTailsEdgesAtAnyDegree) { const auto d = ref::distances(g, mem, {root}, true); const auto want = ref::full_dag(g, mem, d, true); const auto got = detail::static_support(g, std::vector {root}, Direction::Reverse, q.elig); - const auto asc = detail::PredDAGBuilder::ascending(got); + const auto asc = detail::PredecessorDAGBuilder::ascending(got); EXPECT_EQ(std::vector(asc.begin(), asc.end()), std::vector(want.begin(), want.end())) << "degree " << degree << " all tight " << all_tight << " elig " << with_elig; if (all_tight && !with_elig) EXPECT_EQ(asc.size(), static_cast(degree + spokes)); EXPECT_TRUE(std::is_sorted(asc.begin(), asc.end())); // The hub's own entries, whose order is the subject here: at least half its edges (none when // the Eligibility masks the degree-1 hub's only edge). - const auto hub_entries = std::count_if(asc.begin(), asc.end(), [&](EdgeId e) { return g.edge_src()[e] == hub; }); + const auto hub_entries = std::count_if(asc.begin(), asc.end(), [&](EdgeId e) { return g.edge_sources()[e] == hub; }); EXPECT_GE(hub_entries, with_elig && degree == 1 ? 0 : (degree + 1) / 2) << "degree " << degree << " all tight " << all_tight << " elig " << with_elig; } @@ -1156,17 +1190,17 @@ TEST(Search, StaticSupportTakesNormalisedRootsAndAllowsNone) { const auto el = g.eligibility(xn, xe); const Eligibility* elig = trial % 2 == 0 ? &el : nullptr; const bool any_allowed = - std::any_of(roots.begin(), roots.end(), [&](NodeId r) { return elig == nullptr || elig->node_ok(r); }); + std::any_of(roots.begin(), roots.end(), [&](NodeId r) { return elig == nullptr || elig->allows_node(r); }); const bool masked = - elig != nullptr && std::any_of(roots.begin(), roots.end(), [&](NodeId r) { return !elig->node_ok(r); }); + elig != nullptr && std::any_of(roots.begin(), roots.end(), [&](NodeId r) { return !elig->allows_node(r); }); std::vector all(static_cast(n)); std::iota(all.begin(), all.end(), 0); for (Direction dir : {Direction::Forward, Direction::Reverse}) { const auto got = detail::static_support(g, roots, dir, elig); const auto [want_costs, want_dag, want_cost] = run(g, roots, dir, std::nullopt, sel(), nullptr, 1, elig); EXPECT_TRUE(got == want_dag) << "trial " << trial << " direction " << static_cast(dir); - if (!any_allowed) EXPECT_TRUE(got == detail::PredDAGBuilder::empty(g)) << trial; - if (dir == Direction::Forward && masked && !detail::PredDAGBuilder::ascending(got).empty()) ++masked_roots; + if (!any_allowed) EXPECT_TRUE(got == detail::PredecessorDAGBuilder::empty(g)) << trial; + if (dir == Direction::Forward && masked && !detail::PredecessorDAGBuilder::ascending(got).empty()) ++masked_roots; } const auto costs = detail::static_costs(g, elig, roots, all); const auto [rev_costs, rev_dag, rev_cost] = run(g, roots, Direction::Reverse, std::nullopt, sel(), nullptr, 1, elig); @@ -1176,7 +1210,7 @@ TEST(Search, StaticSupportTakesNormalisedRootsAndAllowsNone) { // The public entries on the same roots reversed and repeated. std::vector messy(roots.rbegin(), roots.rend()); messy.push_back(roots.front()); - DagCache cache(g); + ShortestPathCache cache(g); const auto cached = cache.lookup(g, messy, Direction::Reverse, elig); EXPECT_TRUE(*cached == detail::static_support(g, roots, Direction::Reverse, elig)) << trial; EXPECT_TRUE(cache.lookup(g, roots, Direction::Reverse, elig) == cached) << trial; // the same entry @@ -1186,3 +1220,55 @@ TEST(Search, StaticSupportTakesNormalisedRootsAndAllowsNone) { } EXPECT_GT(masked_roots, 10); // not vacuous: the Eligibility removes some roots of real supports } + +// The route choice. TRI: three parallel cost-1 links 0 -> 1 of capacities 4, 10, +// 100 and a cost-2 link of 50, availability 4, 8, 5, 50. The single path takes e0 under +// FEWER_HOPS, e2 under HIGHER_CAPACITY, e1 under HIGHER_AVAILABLE_CAPACITY and e0 under +// HIGHER_HEADROOM (1 against 4/5 and 1/20); e3 never. +TEST(SpfTie, Parallel) { + const auto g = make_graph(2, {{0, 1, 4, 1}, {0, 1, 10, 1}, {0, 1, 100, 1}, {0, 1, 50, 2}}); + const std::vector available = {4, 8, 5, 50}; + for (const auto& [tie, want] : {std::pair {RouteTieBreak::FewerHops, EdgeId {0}}, + std::pair {RouteTieBreak::HigherCapacity, EdgeId {2}}, + std::pair {RouteTieBreak::HigherAvailableCapacity, EdgeId {1}}, + std::pair {RouteTieBreak::HigherHeadroom, EdgeId {0}}}) { + const auto single = run(g, {0}, Direction::Forward, std::vector {1}, sel(false, true, tie), &available); + EXPECT_EQ(edges_of(single.dag), (std::vector {want})) << static_cast(tie); + // The same rule keeps one member of the pair in a multipath search without parallel edges. + const auto collapsed = run(g, {0}, Direction::Forward, std::nullopt, sel(true, false, tie), &available); + EXPECT_EQ(edges_of(collapsed.dag), (std::vector {want})) << static_cast(tie); + } +} + +// TIE-routes: the direct link e1 (capacity 3, cost 2) against e0, e2 (capacity 10, cost 1 each). +// Without a residual HIGHER_HEADROOM reads 1 on every positive link, so hops decide. TIE- +// bottleneck: e2 at capacity 1 makes the two-hop bottleneck 1, and every rule takes e1 although +// the two-hop route's first link is the larger one (the paths are compared whole). +TEST(SpfTie, Routes) { + for (const Amount e2 : {Amount {10}, Amount {1}}) { + const auto g = make_graph(3, {{0, 1, 10, 1}, {0, 2, 3, 2}, {1, 2, e2, 1}}); + const std::vector two_hops = e2 == 10 ? std::vector {0, 2} : std::vector {1}; + for (const auto& [tie, want] : {std::pair {RouteTieBreak::FewerHops, std::vector {1}}, + std::pair {RouteTieBreak::HigherCapacity, two_hops}, + std::pair {RouteTieBreak::HigherAvailableCapacity, two_hops}, + std::pair {RouteTieBreak::HigherHeadroom, std::vector {1}}}) { + const auto r = run(g, {0}, Direction::Forward, std::vector {2}, sel(false, true, tie)); + EXPECT_EQ(edges_of(r.dag), want) << e2 << " " << static_cast(tie); + } + } +} + +// spf's entry: the ineffective tie rule after the single-path rule, before the residual. +TEST(SpfValidation, TieRule) { + const auto g = make_graph(3, {{0, 1, 2, 1}, {1, 2, 2, 1}}); + const std::string ineffective = "spf tie_break requires multipath=False or parallel_edges=False"; + const std::vector short_residual = {1}; + const auto hc = RouteTieBreak::HigherCapacity; + EXPECT_EQ(error_of([&] { (void)run(g, {0}, Direction::Forward, std::nullopt, sel(true, true, hc)); }), ineffective); + EXPECT_EQ(error_of([&] { (void)run(g, {0}, Direction::Forward, std::nullopt, sel(true, true, hc), &short_residual); }), + ineffective); + EXPECT_EQ(error_of([&] { (void)run(g, {0}, Direction::Forward, std::nullopt, sel(false, true, hc)); }), + "multipath = false requires targets (the single path joins a root to a target)"); + EXPECT_EQ(error_of([&] { (void)run(g, {0}, Direction::Forward, std::nullopt, sel(true, false, hc)); }), ""); + EXPECT_EQ(error_of([&] { (void)run(g, {0}, Direction::Forward, std::nullopt, sel()); }), ""); +} diff --git a/tests/cpp/dag_cache_tests.cpp b/tests/cpp/shortest_path_cache_tests.cpp similarity index 79% rename from tests/cpp/dag_cache_tests.cpp rename to tests/cpp/shortest_path_cache_tests.cpp index e6b053c..b7557b0 100644 --- a/tests/cpp/dag_cache_tests.cpp +++ b/tests/cpp/shortest_path_cache_tests.cpp @@ -1,11 +1,11 @@ -// The DagCache's modes: the transition table (building and frozen lookups, freeze, clear, thaw, +// The ShortestPathCache's modes: the transition table (building and frozen lookups, freeze, clear, thaw, // destruction), the statistics (a frozen miss counts one miss), roots in any order sharing one -// entry and one validation, the key (a policy's selection is not part of it, the Eligibility uid -// is) and clear() releasing the values nobody holds, DagCacheMiss as a dedicated exception, frozen +// entry and one validation, the key (a policy's route choice is not part of it, the Eligibility uid +// is) and clear() releasing the values nobody holds, ShortestPathCacheMiss as a dedicated exception, frozen // hits from several threads, and the evaluators' sharing rules: a frozen cache shared by every -// worker, a building one rejected with two or more, DagCacheMiss propagated unchanged through -// batch_capacity and sensitivity, the reuse of a prepopulated Eligibility through an unchanged -// intersection, the deletion-mode sensitivity (Global: each deletion repaired from the baseline's +// worker, a building one rejected with two or more, ShortestPathCacheMiss propagated unchanged through +// evaluate_pairs and evaluate_edge_failures, the reuse of a prepopulated Eligibility through an unchanged +// intersection, the deletion-mode failure study (CentralizedTE: each deletion repaired from the baseline's // state) with a supplied frozen cache; a failed call's statistics, and concurrent calls and // publications that lose no hit. The thread cases form the suite DagCacheFrozen; make tsan-test // runs them under ThreadSanitizer with every other test. @@ -24,7 +24,7 @@ #include #include -#include "netgraph/core/dag_cache.hpp" +#include "netgraph/core/shortest_path_cache.hpp" #include "netgraph/core/evaluators.hpp" #include "netgraph/core/flow_policy.hpp" #include "test_utils.hpp" @@ -32,12 +32,12 @@ using namespace netgraph::core; using namespace netgraph::core::test; -// DagCacheMiss is its own exception, neither a std::runtime_error nor a std::logic_error (a frozen +// ShortestPathCacheMiss is its own exception, neither a std::runtime_error nor a std::logic_error (a frozen // miss is thrown as one: miss_of in the tests below). -static_assert(!std::is_base_of_v); -static_assert(!std::is_base_of_v); -static_assert(std::is_base_of_v); -static_assert(std::is_nothrow_copy_constructible_v); +static_assert(!std::is_base_of_v); +static_assert(!std::is_base_of_v); +static_assert(std::is_base_of_v); +static_assert(std::is_nothrow_copy_constructible_v); namespace { @@ -56,7 +56,7 @@ std::shared_ptr fabric() { std::string miss_of(const std::function& fn) { try { fn(); - } catch (const DagCacheMiss& e) { + } catch (const ShortestPathCacheMiss& e) { return e.what(); } return ""; @@ -65,7 +65,7 @@ std::string miss_of(const std::function& fn) { // The bytes a DAG's stored arrays hold, from its public arrays: k nodes with entries and e // entries store the k nodes, k + 1 offsets, e parents, e via edges and their ascending copy, all // 32-bit values. -std::int64_t stored_bytes(const PredDAG& d) { +std::int64_t stored_bytes(const PredecessorDAG& d) { const auto off = d.parent_offsets(); std::int64_t k = 0; for (std::size_t i = 0; i + 1 < off.size(); ++i) k += off[i + 1] > off[i] ? 1 : 0; @@ -77,7 +77,7 @@ std::int64_t stored_bytes(const PredDAG& d) { TEST(DagCacheModes, TransitionTableAndStatistics) { const auto g = fabric(); - DagCache cache(*g); + ShortestPathCache cache(*g); // Building: a miss searches and inserts, a hit returns the same value. const auto a = cache.lookup(*g, v({1, 0}), Direction::Reverse, nullptr); const auto a2 = cache.lookup(*g, v({0, 1}), Direction::Reverse, nullptr); @@ -96,7 +96,7 @@ TEST(DagCacheModes, TransitionTableAndStatistics) { auto invalid_queries_count_nothing = [&](const char* mode) { const auto before = cache.stats(); EXPECT_EQ(error_of([&] { (void)cache.lookup(*other, v({0}), Direction::Reverse, nullptr); }), - "DagCache: the graph is not the cache's graph (foreign graph)") << mode; + "ShortestPathCache: the graph is not the cache's graph (foreign graph)") << mode; EXPECT_EQ(error_of([&] { (void)cache.lookup(*g, v({0, 1}), Direction::Reverse, &foreign); }), "foreign Eligibility: built for another graph") << mode; EXPECT_EQ(error_of([&] { (void)cache.lookup(*g, v({}), Direction::Reverse, nullptr); }), "roots: the node set is empty") @@ -108,12 +108,12 @@ TEST(DagCacheModes, TransitionTableAndStatistics) { EXPECT_EQ(stats_of(cache.stats()), stats_of(before)) << mode; }; invalid_queries_count_nothing("building"); - // Frozen: hits return the value; a miss counts one miss, inserts nothing, throws DagCacheMiss. + // Frozen: hits return the value; a miss counts one miss, inserts nothing, throws ShortestPathCacheMiss. cache.freeze(); cache.freeze(); // idempotent EXPECT_EQ(cache.lookup(*g, v({0, 1}), Direction::Reverse, nullptr).get(), a.get()); const auto msg = miss_of([&] { (void)cache.lookup(*g, v({2}), Direction::Forward, nullptr); }); - EXPECT_EQ(msg, "DagCache: the frozen cache has no entry for roots {2}, direction Forward, Eligibility uid 0 (a frozen " + EXPECT_EQ(msg, "ShortestPathCache: the frozen cache has no entry for roots {2}, direction Forward, Eligibility uid 0 (a frozen " "cache never searches)"); st = cache.stats(); EXPECT_EQ(st.misses, 2); @@ -122,7 +122,7 @@ TEST(DagCacheModes, TransitionTableAndStatistics) { invalid_queries_count_nothing("frozen"); // clear() throws when frozen and keeps the entries. EXPECT_EQ(error_of([&] { cache.clear(); }), - "DagCache.clear is rejected while the cache is frozen (join every reader, then thaw() and clear())"); + "ShortestPathCache.clear is rejected while the cache is frozen (join every reader, then thaw() and clear())"); EXPECT_EQ(cache.stats().entries, 1); // thaw(): building again; a miss searches and inserts, clear() empties (counters persist). cache.thaw(); @@ -140,9 +140,9 @@ TEST(DagCacheModes, TransitionTableAndStatistics) { // Held values stay valid after clear() and after a frozen cache is destroyed. EXPECT_EQ(b->via_edges().size(), 18U); // roots {2} forward: three 2 -> spine edges, 15 spine -> leaf EXPECT_EQ(a2->via_edges().size(), 18U); - std::shared_ptr c; + std::shared_ptr c; { - DagCache frozen(*g); + ShortestPathCache frozen(*g); c = frozen.lookup(*g, v({3}), Direction::Reverse, nullptr); frozen.freeze(); } @@ -157,7 +157,7 @@ TEST(DagCacheModes, RootsInAnyOrderShareOneEntryAndOneValidation) { // normalises any other; either way the key is the sorted set, ordered by roots, then direction, // then Eligibility uid, and the checks and their messages are node_set's. const auto g = fabric(); - DagCache cache(*g); + ShortestPathCache cache(*g); const auto elig = g->eligibility(v({}), std::vector {0}); const auto a = cache.lookup(*g, v({0, 2}), Direction::Reverse, nullptr); for (const auto& roots : {v({2, 0}), v({0, 0, 2}), v({2, 2, 0, 2}), v({0, 2})}) { @@ -172,7 +172,7 @@ TEST(DagCacheModes, RootsInAnyOrderShareOneEntryAndOneValidation) { {v({0, 2, 3}), Direction::Reverse, nullptr}, {v({1}), Direction::Reverse, nullptr}, {v({0, 2}), Direction::Forward, nullptr}, {v({0, 2}), Direction::Reverse, &elig}, {v({8}), Direction::Forward, &elig}, {v({0, 1, 2, 3, 4, 5}), Direction::Reverse, nullptr}}; - std::vector> values; + std::vector> values; for (const auto& [roots, dir, el] : keys) values.push_back(cache.lookup(*g, roots, dir, el)); EXPECT_EQ(cache.stats().entries, 9); EXPECT_EQ(cache.stats().misses, 9); @@ -206,24 +206,28 @@ TEST(DagCacheModes, RootsInAnyOrderShareOneEntryAndOneValidation) { EXPECT_EQ(after.entries, before.entries); // A frozen miss names the sorted set, borrowed or normalised. cache.freeze(); - const std::string want = "DagCache: the frozen cache has no entry for roots {1, 4}, direction Reverse, Eligibility uid " + const std::string want = "ShortestPathCache: the frozen cache has no entry for roots {1, 4}, direction Reverse, Eligibility uid " "0 (a frozen cache never searches)"; EXPECT_EQ(miss_of([&] { (void)cache.lookup(*g, v({1, 4}), Direction::Reverse, nullptr); }), want); EXPECT_EQ(miss_of([&] { (void)cache.lookup(*g, v({4, 1, 4}), Direction::Reverse, nullptr); }), want); EXPECT_EQ(cache.stats().misses, 11); } -TEST(DagCacheModes, SelectionIsNoPartOfTheKeyAndClearReleasesUnheldValues) { +TEST(DagCacheModes, RouteChoiceIsNoPartOfTheKeyAndClearReleasesUnheldValues) { // Two disjoint routes 0 -> 1 -> 3 and 0 -> 2 -> 3. EdgeIds: 0 = 0->1, 1 = 0->2, 2 = 1->3, 3 = 2->3. const auto g = std::make_shared(make_graph(4, {{0, 1, 5, 1}, {1, 3, 5, 1}, {0, 2, 5, 1}, {2, 3, 5, 1}})); - DagCache cache(*g); - // Two CostOnly policies differing only in selection share one entry (selection is a - // projection at creation, never part of the key). + ShortestPathCache cache(*g); + // Two ShortestPaths policies differing only in their route choice share one entry (the route + // choice is a projection at creation, never part of the key). FlowLedger fg(g); FlowPolicy a(fg, v({0}), v({3}), cost_only_config(), nullptr, &cache); - auto other_selection = cost_only_config(); - other_selection.selection = PathSelection(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual, false, false); - FlowPolicy b(fg, v({0}), v({3}), other_selection, nullptr, &cache); + auto other_choice = cost_only_config(); + ShortestPaths single_member; + single_member.tie_break = RouteTieBreak::HigherAvailableCapacity; + single_member.multipath = false; + single_member.parallel_edges = false; + other_choice.routing = single_member; + FlowPolicy b(fg, v({0}), v({3}), other_choice, nullptr, &cache); auto s = cache.stats(); EXPECT_EQ(s.misses, 1); EXPECT_EQ(s.hits, 1); @@ -258,8 +262,8 @@ namespace { // of them are running. void frozen_readers(int threads) { const auto g = fabric(); - DagCache cache(*g); - std::vector> want; + ShortestPathCache cache(*g); + std::vector> want; for (NodeId r = 0; r < 9; ++r) want.push_back(cache.lookup(*g, v({r}), Direction::Reverse, nullptr)); cache.freeze(); const auto before = cache.stats(); @@ -303,28 +307,28 @@ TEST(DagCacheFrozen, SharedByEveryWorkerOfABatch) { const std::vector, std::vector>> pairs = { {v({0}), v({3})}, {v({1}), v({4})}, {v({2}), v({5})}, {v({0, 1}), v({3, 4})}}; const OutputOptions all {true, true, true}; - const auto want = batch_capacity(*g, pairs, QueryOptions {cost_only_config(), nullptr, nullptr, all}, {}, 1); - for (const auto& r : want) EXPECT_GT(r.placed, 0); // every pair places: the comparison is not of zeros + const auto want = evaluate_pairs(*g, pairs, EvaluationOptions {cost_only_config(), nullptr, nullptr, all}, {}, 1); + for (const auto& r : want) EXPECT_GT(r.call_delivered, 0); // every pair places: the comparison is not of zeros for (int workers : {1, 2, 4}) { - DagCache cache(*g); + ShortestPathCache cache(*g); for (const auto& [s, t] : pairs) (void)cache.lookup(*g, t, Direction::Reverse, nullptr); // A building cache with two or more workers is rejected; frozen, it is shared. if (workers > 1) { EXPECT_THROW( - (void)batch_capacity(*g, pairs, QueryOptions {cost_only_config(), nullptr, &cache, all}, {}, workers), + (void)evaluate_pairs(*g, pairs, EvaluationOptions {cost_only_config(), nullptr, &cache, all}, {}, workers), std::invalid_argument); } cache.freeze(); const auto before = cache.stats(); - const auto got = batch_capacity(*g, pairs, QueryOptions {cost_only_config(), nullptr, &cache, all}, {}, workers); + const auto got = evaluate_pairs(*g, pairs, EvaluationOptions {cost_only_config(), nullptr, &cache, all}, {}, workers); ASSERT_EQ(got.size(), want.size()); for (std::size_t i = 0; i < got.size(); ++i) { ASSERT_TRUE(got[i].edge_flows.has_value() && want[i].edge_flows.has_value()) << workers << " " << i; ASSERT_TRUE(got[i].residual.has_value() && want[i].residual.has_value()) << workers << " " << i; - EXPECT_EQ(got[i].placed, want[i].placed) << workers << " " << i; + EXPECT_EQ(got[i].call_delivered, want[i].call_delivered) << workers << " " << i; EXPECT_EQ(got[i].edge_flows, want[i].edge_flows) << workers << " " << i; EXPECT_EQ(got[i].residual, want[i].residual) << workers << " " << i; - EXPECT_EQ(got[i].bottleneck, want[i].bottleneck) << workers << " " << i; + EXPECT_EQ(got[i].saturated_boundary_edges, want[i].saturated_boundary_edges) << workers << " " << i; } EXPECT_EQ(cache.stats().hits - before.hits, static_cast(pairs.size())); EXPECT_EQ(cache.stats().misses, before.misses); @@ -332,16 +336,16 @@ TEST(DagCacheFrozen, SharedByEveryWorkerOfABatch) { } TEST(DagCacheFrozen, MissPropagatesThroughBatchCapacity) { - // A frozen cache holding only pair 1's key: pairs 0 and 2 miss; the lowest index's DagCacheMiss + // A frozen cache holding only pair 1's key: pairs 0 and 2 miss; the lowest index's ShortestPathCacheMiss // (pair 0's) reaches the caller unchanged, with one worker and with several. const auto g = fabric(); const std::vector, std::vector>> pairs = {{v({0}), v({3})}, {v({1}), v({4})}, {v({2}), v({5})}}; for (int workers : {1, 2, 4}) { - DagCache cache(*g); + ShortestPathCache cache(*g); (void)cache.lookup(*g, v({4}), Direction::Reverse, nullptr); // only pair 1's key cache.freeze(); - const auto msg = miss_of([&] { (void)batch_capacity(*g, pairs, QueryOptions {cost_only_config(), nullptr, &cache}, {}, workers); }); + const auto msg = miss_of([&] { (void)evaluate_pairs(*g, pairs, EvaluationOptions {cost_only_config(), nullptr, &cache}, {}, workers); }); EXPECT_NE(msg.find("roots {3}"), std::string::npos) << workers << ": " << msg; // pair 0, the lowest index } } @@ -357,7 +361,7 @@ TEST(DagCacheFrozen, PerPairIntersectionsAndPrepopulatedUids) { const auto narrow = g->eligibility({}, e01); // excludes 0 and 1: contained in common const auto other = g->eligibility({}, e1); // excludes 1: neither contains the other const std::vector, std::vector>> pairs = {{v({1}), v({4})}, {v({2}), v({5})}}; - DagCache cache(*g); + ShortestPathCache cache(*g); (void)cache.lookup(*g, v({4}), Direction::Reverse, &narrow); (void)cache.lookup(*g, v({5}), Direction::Reverse, &common); (void)cache.lookup(*g, v({4}), Direction::Reverse, &common); @@ -366,20 +370,20 @@ TEST(DagCacheFrozen, PerPairIntersectionsAndPrepopulatedUids) { // A common value containing the per-pair one: intersect returns the per-pair operand. auto before = hits(); const std::vector contained = {&narrow, nullptr}; - EXPECT_EQ(batch_capacity(*g, pairs, QueryOptions {cost_only_config(), &common, &cache}, contained, 2).size(), 2U); + EXPECT_EQ(evaluate_pairs(*g, pairs, EvaluationOptions {cost_only_config(), &common, &cache}, contained, 2).size(), 2U); EXPECT_EQ(hits() - before, 2); // An unchanged intersection (the operand itself) and already-effective values with a null // common value. before = hits(); const std::vector same = {&common, &common}; - EXPECT_EQ(batch_capacity(*g, pairs, QueryOptions {cost_only_config(), &common, &cache}, same, 2).size(), 2U); + EXPECT_EQ(evaluate_pairs(*g, pairs, EvaluationOptions {cost_only_config(), &common, &cache}, same, 2).size(), 2U); const std::vector own = {&narrow, &common}; - EXPECT_EQ(batch_capacity(*g, pairs, QueryOptions {cost_only_config(), nullptr, &cache}, own, 2).size(), 2U); + EXPECT_EQ(evaluate_pairs(*g, pairs, EvaluationOptions {cost_only_config(), nullptr, &cache}, own, 2).size(), 2U); EXPECT_EQ(hits() - before, 4); // An intersection that differs from both operands: a fresh uid, absent from the cache. const auto misses = cache.stats().misses; const std::vector changed = {&other, nullptr}; - const auto msg = miss_of([&] { (void)batch_capacity(*g, pairs, QueryOptions {cost_only_config(), &common, &cache}, changed, 2); }); + const auto msg = miss_of([&] { (void)evaluate_pairs(*g, pairs, EvaluationOptions {cost_only_config(), &common, &cache}, changed, 2); }); EXPECT_NE(msg.find("roots {4}"), std::string::npos) << msg; EXPECT_EQ(msg.find("uid " + std::to_string(common.uid()) + " "), std::string::npos) << msg; EXPECT_EQ(msg.find("uid " + std::to_string(other.uid()) + " "), std::string::npos) << msg; @@ -388,28 +392,28 @@ TEST(DagCacheFrozen, PerPairIntersectionsAndPrepopulatedUids) { } TEST(DagCacheFrozen, MissPropagatesThroughSensitivity) { - // CostOnly sensitivity evaluates each candidate under a new Eligibility (a new uid): with a + // ShortestPaths' failure study evaluates each candidate under a new Eligibility (a new uid): with a // frozen cache holding only the baseline's key, the first re-evaluated deletion misses and the // miss reaches the caller. const auto g = fabric(); for (int workers : {1, 2, 4}) { - DagCache cache(*g); + ShortestPathCache cache(*g); (void)cache.lookup(*g, v({4}), Direction::Reverse, nullptr); cache.freeze(); - const auto msg = miss_of([&] { (void)sensitivity(*g, v({1}), v({4}), QueryOptions {cost_only_config(), nullptr, &cache}, workers); }); + const auto msg = miss_of([&] { (void)evaluate_edge_failures(*g, v({1}), v({4}), EvaluationOptions {cost_only_config(), nullptr, &cache}, workers); }); EXPECT_NE(msg.find("no entry for roots {4}"), std::string::npos) << workers << ": " << msg; EXPECT_EQ(cache.stats().entries, 1); // nothing inserted } } TEST(DagCacheFrozen, DeletionModeSensitivityRejectsASuppliedFrozenCache) { - // Global sensitivity repairs the baseline's state per deletion and reads no cache: a supplied + // CentralizedTE's failure study repairs the baseline's state per deletion and reads no cache: a supplied // cache, frozen too, is rejected before any worker starts, its statistics unchanged. const auto g = fabric(); for (int workers : {1, 2, 4}) { - DagCache cache(*g); + ShortestPathCache cache(*g); cache.freeze(); - EXPECT_THROW((void)sensitivity(*g, v({0, 1}), v({4, 5}), QueryOptions {global_config(), nullptr, &cache}, workers), + EXPECT_THROW((void)evaluate_edge_failures(*g, v({0, 1}), v({4, 5}), EvaluationOptions {global_config(), nullptr, &cache}, workers), std::invalid_argument); EXPECT_EQ(cache.stats().hits + cache.stats().misses, 0); } @@ -419,17 +423,17 @@ TEST(DagCacheFrozen, AFailedCallChangesNoStatisticButItsMiss) { // A frozen cache's statistics are observable state: a public call reading a frozen cache // publishes its hits only when it succeeds. A batch whose pair 0 hits and pair 1 misses raises // the miss and keeps no hit; the miss counts once, with one worker and with several (the boundary - // counts it, not the workers); the policy constructor and CostOnly sensitivity do the same. + // counts it, not the workers); the policy constructor and ShortestPaths' failure study do the same. const auto g = fabric(); const std::vector, std::vector>> pairs = { {v({0}), v({3})}, {v({1}), v({4})}, {v({2}), v({5})}, {v({0}), v({3})}}; for (int workers : {1, 2, 4}) { - DagCache cache(*g); + ShortestPathCache cache(*g); (void)cache.lookup(*g, v({3}), Direction::Reverse, nullptr); cache.freeze(); auto before = stats_of(cache.stats()); // Pairs 1 and 2 miss; pairs 0 and 3 hit. - EXPECT_NE(miss_of([&] { (void)batch_capacity(*g, pairs, QueryOptions {cost_only_config(), nullptr, &cache}, {}, workers); }) + EXPECT_NE(miss_of([&] { (void)evaluate_pairs(*g, pairs, EvaluationOptions {cost_only_config(), nullptr, &cache}, {}, workers); }) .find("roots {4}"), std::string::npos); auto want = before; @@ -437,14 +441,14 @@ TEST(DagCacheFrozen, AFailedCallChangesNoStatisticButItsMiss) { EXPECT_EQ(stats_of(cache.stats()), want) << workers; before = stats_of(cache.stats()); EXPECT_NE(miss_of([&] { - (void)sensitivity(*g, v({0}), v({3}), QueryOptions {cost_only_config(), nullptr, &cache}, workers); + (void)evaluate_edge_failures(*g, v({0}), v({3}), EvaluationOptions {cost_only_config(), nullptr, &cache}, workers); }).find("roots {3}"), std::string::npos); want = before; std::get<1>(want) += 1; EXPECT_EQ(stats_of(cache.stats()), want) << workers; // the baseline's hit is dropped } - DagCache cache(*g); + ShortestPathCache cache(*g); cache.freeze(); FlowLedger fg(g); EXPECT_FALSE(miss_of([&] { FlowPolicy p(fg, v({0}), v({3}), cost_only_config(), nullptr, &cache); }).empty()); @@ -456,11 +460,11 @@ TEST(DagCacheFrozen, ConcurrentCallsKeepEverySuccessfulHit) { // failing batch (its hit dropped, one miss) and a successful capacity (one hit): every // successful call's hits are kept, no failed call's, and every failed call's miss is counted. const auto g = fabric(); - DagCache cache(*g); + ShortestPathCache cache(*g); for (NodeId d : {3, 4}) (void)cache.lookup(*g, v({d}), Direction::Reverse, nullptr); cache.freeze(); const auto before = cache.stats(); - const QueryOptions opts {cost_only_config(), nullptr, &cache}; + const EvaluationOptions opts {cost_only_config(), nullptr, &cache}; const std::vector, std::vector>> good = {{v({0}), v({3})}, {v({1}), v({4})}}; const std::vector, std::vector>> bad = {{v({0}), v({3})}, {v({1}), v({5})}}; constexpr int kThreads = 4; @@ -472,13 +476,13 @@ TEST(DagCacheFrozen, ConcurrentCallsKeepEverySuccessfulHit) { pool.emplace_back([&] { start.arrive_and_wait(); for (int round = 0; round < kRounds; ++round) { - if (batch_capacity(*g, good, opts, {}, 2).size() != 2) ++wrong; + if (evaluate_pairs(*g, good, opts, {}, 2).size() != 2) ++wrong; try { - (void)batch_capacity(*g, bad, opts, {}, 2); + (void)evaluate_pairs(*g, bad, opts, {}, 2); ++wrong; - } catch (const DagCacheMiss&) { + } catch (const ShortestPathCacheMiss&) { } - if (capacity(*g, v({2}), v({3}), opts).placed <= 0) ++wrong; + if (evaluate_demand(*g, v({2}), v({3}), opts).call_delivered <= 0) ++wrong; } }); } @@ -493,11 +497,11 @@ TEST(DagCacheFrozen, ConcurrentCallsKeepEverySuccessfulHit) { } TEST(DagCacheFrozen, ConcurrentPublicationsLoseNoIncrement) { - // Many short public calls at once (a CostOnly policy constructor: one frozen hit, published as + // Many short public calls at once (a ShortestPaths policy constructor: one frozen hit, published as // its last step), so that publications from different threads overlap often: the hits are // added atomically, none is lost. const auto g = fabric(); - DagCache cache(*g); + ShortestPathCache cache(*g); (void)cache.lookup(*g, v({3}), Direction::Reverse, nullptr); cache.freeze(); const auto before = cache.stats().hits; diff --git a/tests/cpp/cost_only_creation_tests.cpp b/tests/cpp/shortest_paths_creation_tests.cpp similarity index 57% rename from tests/cpp/cost_only_creation_tests.cpp rename to tests/cpp/shortest_paths_creation_tests.cpp index 3501118..e49f89e 100644 --- a/tests/cpp/cost_only_creation_tests.cpp +++ b/tests/cpp/shortest_paths_creation_tests.cpp @@ -1,16 +1,16 @@ -// The CostOnly creation products in one pass: cost_only_creation +// The ShortestPaths creation products in one pass: prepare_shortest_paths // against the general path the policy takes wherever the one pass declines (support_route's route, -// the record bundle of bundle_of, make_plan's plan and cost on that bundle), on random graphs for -// every source, selection and kernel: it answers exactly where that path's members are the whole -// route, with the same bundle (the support itself when the route is all of it), plan and cost. On +// the record route of record_route_of, prepare_route's plan and cost on that route), on random graphs for +// every source, route choice and kernel: it answers exactly where that path's members are the whole +// route, with the same record route (the support itself when the route is all of it), plan and cost. On // crafted supports that break its preconditions (edges leaving a destination, dead ends, members // below one unit, a cycle) it answers nothing or the general path's own result. Also // lower_bound_from against std::lower_bound from every hint, the plan's one block under copy // and move, and the plan comparison of test_utils.hpp against a plan changed in each field. The // general path is production code, not an independent reference: its parts are // checked independently elsewhere (support_route against search_reference.hpp, also under -// residual priority views, in Search.InternalEntriesMatchThePublicSearch; make_plan against the -// walk definition for every kernel in kernels_tests.cpp). +// residual priority views, in Search.InternalEntriesMatchThePublicSearch; prepare_route against the +// walk definition for every kernel in route_kernels_tests.cpp). #include #include @@ -27,9 +27,9 @@ #include #include -#include "netgraph/core/detail/kernels.hpp" -#include "netgraph/core/detail/pred_dag_builder.hpp" -#include "netgraph/core/detail/traversal.hpp" +#include "netgraph/core/detail/route_kernels.hpp" +#include "netgraph/core/detail/route_builders.hpp" +#include "netgraph/core/detail/search_detail.hpp" #include "test_utils.hpp" using namespace netgraph::core; @@ -39,52 +39,56 @@ using namespace netgraph::core::detail; namespace { // Every field of two plans equal (plan_differences, test_utils.hpp). -void expect_same_plan(const KernelPlan& got, const KernelPlan& want, const std::string& where) { +void expect_same_plan(const PreparedRoute& got, const PreparedRoute& want, const std::string& where) { EXPECT_EQ(plan_differences(got, want), std::vector {}) << where; } -// The policy's general CostOnly creation (flow_policy.cpp: cost_only_route, bundle_of and the +// The policy's general ShortestPaths creation (flow_policy.cpp: shortest_path_support, record_route_of and the // plan on the route, capacity weights), taken wherever the one pass declines; where the one pass // answers, it must equal this. struct GeneralPath { std::vector route; - std::shared_ptr bundle; - KernelPlan plan; + std::shared_ptr record_route; + PreparedRoute plan; Cost cost {kUnreachable}; }; -GeneralPath general_path(const Graph& g, const std::shared_ptr& support, NodeId src, - const std::vector& dsts, const PathSelection& sel, PriorityFn view, - const std::vector& W, FlowPlacement placement, Admission admission) { +GeneralPath general_path(const Graph& g, const std::shared_ptr& support, NodeId src, + const std::vector& dsts, const RouteChoice& sel, PriorityReader view, + const std::vector& W, RouteAllocation placement, Admission admission) { GeneralPath out; - auto r = support_route(g, PredDAGBuilder::ascending(*support), src, dsts, sel, view); + auto r = support_route(g, PredecessorDAGBuilder::ascending(*support), src, dsts, sel, view); out.route = r.edges; Cost cost = sel.single_path() && !r.edges.empty() ? r.cost : kUnreachable; - out.bundle = PredDAGBuilder::ascending(*support).size() == r.edges.size() ? support : dag_of(g, r.edges); + out.record_route = PredecessorDAGBuilder::ascending(*support).size() == r.edges.size() ? support : dag_of(g, r.edges); (void)W; const bool computed = cost == kUnreachable; - out.plan = make_plan(g, placement, admission, WeightSource {}, src, dsts, *out.bundle, computed ? &cost : nullptr); + out.plan = prepare_route(g, placement, admission, WeightSource {}, src, dsts, *out.record_route, computed ? &cost : nullptr); out.cost = cost; return out; } struct Kernel { - FlowPlacement placement; + RouteAllocation placement; Admission admission; }; -const Kernel kKernels[] = {{FlowPlacement::MaxFlow, Admission::Lossless}, - {FlowPlacement::EqualBalanced, Admission::Lossless}, - {FlowPlacement::EqualBalanced, Admission::Lossy}, - {FlowPlacement::Weighted, Admission::Lossless}, - {FlowPlacement::Weighted, Admission::Lossy}}; +const Kernel kKernels[] = {{RouteAllocation::Optimized, Admission::Lossless}, + {RouteAllocation::Equal, Admission::Lossless}, + {RouteAllocation::Equal, Admission::Lossy}, + {RouteAllocation::Weighted, Admission::Lossless}, + {RouteAllocation::Weighted, Admission::Lossy}}; -std::vector selections() { - std::vector out; - for (auto tie : {EdgeTieBreak::Deterministic, EdgeTieBreak::PreferHigherPriority}) { - for (auto prio : {EdgePriority::Capacity, EdgePriority::Residual, EdgePriority::Headroom}) { - for (bool mp : {true, false}) { - for (bool me : {true, false}) out.emplace_back(tie, prio, mp, me); +// The 13 route choices a ShortestPaths configuration accepts: every tie_break with multipath and +// parallel_edges, but no HIGHER_* tie_break with both true. +std::vector choices() { + std::vector out; + for (auto tie : {RouteTieBreak::FewerHops, RouteTieBreak::HigherCapacity, RouteTieBreak::HigherAvailableCapacity, + RouteTieBreak::HigherHeadroom}) { + for (bool mp : {true, false}) { + for (bool me : {true, false}) { + if (tie != RouteTieBreak::FewerHops && mp && me) continue; + out.push_back(RouteChoice {tie, mp, me}); } } } @@ -113,17 +117,17 @@ struct Tally { long collapsed {0}; // answers whose route Collapse changed (one edge per node pair) long weighted {0}; long anycast {0}; - long unrouted {0}; // declined although the selection and kernel qualify: the general path has no route + long unrouted {0}; // declined although the route choice and kernel qualify: the general path has no route long zero_weight {0}; // declined: a Weighted route with an edge of capacity 0 (weight 0, no member) long beyond_int32 {0}; // answers whose route cost exceeds INT32_MAX }; // The comparison on `trials` random graphs whose edge costs are 1 to 3 times `factor`: for every -// source, every one of the 24 selections and every legal kernel, the one pass answers exactly where -// the general path's members are its whole multipath route, with the same bundle (the support itself +// source, every one of the 13 route choices and every legal kernel, the one pass answers exactly where +// the general path's members are its whole multipath route, with the same record route (the support itself // when the route is all of it), every plan array and the exact cost. Tally compare_with_general_path(std::mt19937& rng, int trials, Cost factor) { - const auto sels = selections(); + const auto sels = choices(); Tally t; for (int trial = 0; trial < trials; ++trial) { const int n = 2 + static_cast(rng() % 10); @@ -142,59 +146,58 @@ Tally compare_with_general_path(std::mt19937& rng, int trials, Cost factor) { const auto dset = allowed_nodes(D, nullptr); const auto dsts = allowed_nodes(D, el); if (dsts.empty()) continue; - const auto support = std::make_shared(static_support(g, dset, Direction::Reverse, el)); + const auto support = std::make_shared(static_support(g, dset, Direction::Reverse, el)); std::vector W(static_cast(g.num_edges())); for (std::size_t e = 0; e < W.size(); ++e) { - const Amount cap = g.capacity_units()[e]; + const Amount cap = g.edge_capacity_units()[e]; W[e] = cap == 0 ? 0 : static_cast(rng() % static_cast(cap + 1)); } for (NodeId src = 0; src < n; ++src) { if (std::binary_search(dset.begin(), dset.end(), src)) continue; for (const auto& sel : sels) { - const PriorityValues values {&g, sel.priority, W}; - const PriorityFn view = PriorityFn::of(values); + const PriorityValues values {&g, sel.tie_break, W}; + const PriorityReader view = PriorityReader::of(values); for (const auto& k : kKernels) { const std::string where = "factor " + std::to_string(factor) + " trial " + std::to_string(trial) + " src " + std::to_string(src) + " kernel " + std::to_string(static_cast(k.placement)) + "/" + std::to_string(static_cast(k.admission)) + " sel " + - std::to_string(static_cast(sel.tie_break)) + - std::to_string(static_cast(sel.priority)) + std::to_string(!sel.single_path()) + - std::to_string(sel.multi_edge); + std::to_string(static_cast(sel.tie_break)) + std::to_string(!sel.single_path()) + + std::to_string(sel.parallel_edges); const auto want = general_path(g, support, src, dsts, sel, view, W, k.placement, k.admission); - const auto got = cost_only_creation(g, support, src, dsts, sel, view, k.placement, k.admission, WeightSource {}); + const auto got = prepare_shortest_paths(g, support, src, dsts, sel, view, k.placement, k.admission, WeightSource {}); // It answers exactly where the general path's members are its whole multipath route under a // kernel of static membership (on a valid support: every route that exists, except a // Weighted route with an edge of capacity 0, which has weight 0 and is no member). - // Capacity weights (CostOnly's default basis) are static whatever the priority: every - // multipath selection qualifies. + // Capacity weights (ShortestPaths's default basis) are static whatever the tie_break: every + // multipath route choice qualifies. const bool qualifies = !sel.single_path(); - const bool applies = qualifies && !want.route.empty() && want.plan.members == want.route; + const bool applies = qualifies && !want.route.empty() && want.plan.forwarding_edges == want.route; EXPECT_EQ(got.has_value(), applies) << where; if (got.has_value() != applies) return t; if (!got.has_value()) { t.unrouted += qualifies && want.route.empty() ? 1 : 0; t.zero_weight += qualifies && !want.route.empty() ? 1 : 0; - if (qualifies && !want.route.empty()) EXPECT_EQ(k.placement, FlowPlacement::Weighted) << where; + if (qualifies && !want.route.empty()) EXPECT_EQ(k.placement, RouteAllocation::Weighted) << where; continue; } - EXPECT_EQ(want.plan.members, want.route) << where; // the precondition the shortcut checks - EXPECT_TRUE(got->bundle) << where; - if (!got->bundle) return t; - EXPECT_TRUE(*got->bundle == *want.bundle) << where; - EXPECT_EQ(ascending_edges(*got->bundle), want.route) << where; - EXPECT_EQ(got->bundle == support, want.bundle == support) << where; // the same shared value - expect_same_plan(got->plan, want.plan, where); - EXPECT_EQ(got->cost, want.cost) << where; + EXPECT_EQ(want.plan.forwarding_edges, want.route) << where; // the precondition the shortcut checks + EXPECT_TRUE(got->route) << where; + if (!got->route) return t; + EXPECT_TRUE(*got->route == *want.record_route) << where; + EXPECT_EQ(ascending_edges(*got->route), want.route) << where; + EXPECT_EQ(got->route == support, want.record_route == support) << where; // the same shared value + expect_same_plan(got->prepared_route, want.plan, where); + EXPECT_EQ(got->min_route_cost, want.cost) << where; ++t.made; - if (want.bundle == support) ++t.shared; - if (!sel.multi_edge) { - // Collapse ran when the route differs from the one the same selection takes with every + if (want.record_route == support) ++t.shared; + if (!sel.parallel_edges) { + // Collapse ran when the route differs from the one the same tie_break takes with every // parallel edge kept. - PathSelection all_edges = sel; - all_edges.multi_edge = true; - if (support_route(g, PredDAGBuilder::ascending(*support), src, dsts, all_edges, view).edges != want.route) ++t.collapsed; + RouteChoice all_edges = sel; + all_edges.parallel_edges = true; + if (support_route(g, PredecessorDAGBuilder::ascending(*support), src, dsts, all_edges, view).edges != want.route) ++t.collapsed; } - if (k.placement == FlowPlacement::Weighted) ++t.weighted; + if (k.placement == RouteAllocation::Weighted) ++t.weighted; if (dsts.size() > 1) ++t.anycast; if (want.cost > std::numeric_limits::max()) ++t.beyond_int32; if (::testing::Test::HasFailure()) return t; @@ -237,7 +240,7 @@ TEST(CostOnlyCreation, EqualsTheGeneralPathForEverySourceSelectionAndKernel) { std::mt19937 rng(1007); const Tally t = compare_with_general_path(rng, 300, 1); // Not vacuous: every branch of the one pass was compared, and the declined inputs too. - EXPECT_GT(t.made, 20000); + EXPECT_GT(t.made, 12000); // this seed: 17,046 (13 route choices) EXPECT_GT(t.shared, 500); EXPECT_GT(t.collapsed, 2000); // this seed: 2,838 EXPECT_GT(t.weighted, 4000); @@ -255,7 +258,7 @@ TEST(CostOnlyCreation, WideCostsEqualTheGeneralPath) { std::mt19937 rng(static_cast(2000 + factor % 997)); const Tally t = compare_with_general_path(rng, 120, factor); if (::testing::Test::HasFailure()) return; - EXPECT_GT(t.made, 7000) << "factor " << factor; + EXPECT_GT(t.made, 5000) << "factor " << factor; // factor 3: 6,695 EXPECT_GT(t.shared, 150) << "factor " << factor; EXPECT_GT(t.collapsed, 700) << "factor " << factor; // these seeds: 1,452, 946 and 1,210 EXPECT_GT(t.unrouted, 4000) << "factor " << factor; @@ -268,7 +271,7 @@ TEST(CostOnlyCreation, ChainCostsBeyondInt32AreExact) { // 68,719,476,736), a chain whose total 2,500,000,000 exceeds INT32_MAX without being a power of // two, a diamond of 2^35 edges with a parallel pair, and a full-width chain of two edges of // 2^60 + 1 (the cost 2^61 + 2, below the graph's 2^62 bound; a 48-bit output mask gives 2): the - // exact cost and every array, for every legal kernel, both multi_edge settings. + // exact cost and every array, for every legal kernel, both parallel_edges settings. struct Chain { std::int32_t n; std::vector edges; @@ -286,25 +289,25 @@ TEST(CostOnlyCreation, ChainCostsBeyondInt32AreExact) { ASSERT_GT(c.cost, std::numeric_limits::max()); const Graph g = make_graph(c.n, c.edges); const std::vector dsts = {c.dst}; - const auto support = std::make_shared(static_support(g, dsts, Direction::Reverse, nullptr)); - const std::vector W(g.capacity_units().begin(), g.capacity_units().end()); + const auto support = std::make_shared(static_support(g, dsts, Direction::Reverse, nullptr)); + const std::vector W(g.edge_capacity_units().begin(), g.edge_capacity_units().end()); for (bool me : {true, false}) { - const PathSelection sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity, true, me); - const PriorityValues values {&g, sel.priority, W}; + const RouteChoice sel {me ? RouteTieBreak::FewerHops : RouteTieBreak::HigherCapacity, true, me}; + const PriorityValues values {&g, sel.tie_break, W}; for (const auto& k : kKernels) { const std::string where = "chain cost " + std::to_string(c.cost) + " kernel " + std::to_string(static_cast(k.placement)) + "/" + - std::to_string(static_cast(k.admission)) + " multi_edge " + std::to_string(me); - const auto want = general_path(g, support, 0, dsts, sel, PriorityFn::of(values), W, k.placement, k.admission); + std::to_string(static_cast(k.admission)) + " parallel_edges " + std::to_string(me); + const auto want = general_path(g, support, 0, dsts, sel, PriorityReader::of(values), W, k.placement, k.admission); const auto got = - cost_only_creation(g, support, 0, dsts, sel, PriorityFn::of(values), k.placement, k.admission, WeightSource {}); + prepare_shortest_paths(g, support, 0, dsts, sel, PriorityReader::of(values), k.placement, k.admission, WeightSource {}); ASSERT_TRUE(got.has_value()) << where; EXPECT_EQ(want.cost, c.cost) << where; - EXPECT_EQ(got->cost, c.cost) << where; - EXPECT_TRUE(*got->bundle == *want.bundle) << where; - EXPECT_EQ(ascending_edges(*got->bundle), want.route) << where; - EXPECT_EQ(got->bundle == support, want.bundle == support) << where; - expect_same_plan(got->plan, want.plan, where); + EXPECT_EQ(got->min_route_cost, c.cost) << where; + EXPECT_TRUE(*got->route == *want.record_route) << where; + EXPECT_EQ(ascending_edges(*got->route), want.route) << where; + EXPECT_EQ(got->route == support, want.record_route == support) << where; + expect_same_plan(got->prepared_route, want.plan, where); } } } @@ -313,8 +316,8 @@ TEST(CostOnlyCreation, ChainCostsBeyondInt32AreExact) { TEST(CostOnlyCreation, LargerGraphsEqualTheGeneralPath) { // Larger fabrics (Clos and random) where the walk crosses many ranges: every source of the two // Clos fabrics and every 7th source of the two 200-node random graphs, to one and to two - // destinations, the EB and MaxFlow kernels, with and without Collapse. A bundle shares the - // support only when the general path's does (a bundle equal to the support is met by the + // destinations, the EB and Optimized kernels, with and without Collapse. A record route shares the + // support only when the general path's does (a record route equal to the support is met by the // two general-path comparisons above, which count it). std::mt19937 rng(7); for (int shape = 0; shape < 4; ++shape) { @@ -339,28 +342,28 @@ TEST(CostOnlyCreation, LargerGraphsEqualTheGeneralPath) { return tied_graph(rng, 200, 2400); }(); const int n = g.num_nodes(); - std::vector W(g.capacity_units().begin(), g.capacity_units().end()); + std::vector W(g.edge_capacity_units().begin(), g.edge_capacity_units().end()); for (int q = 0; q < 6; ++q) { std::vector D = {static_cast(rng() % static_cast(n))}; if (q % 2 == 1) D.push_back(static_cast(rng() % static_cast(n))); const auto dsts = allowed_nodes(D, nullptr); - const auto support = std::make_shared(static_support(g, dsts, Direction::Reverse, nullptr)); + const auto support = std::make_shared(static_support(g, dsts, Direction::Reverse, nullptr)); for (NodeId src = 0; src < n; src += (n > 50 ? 7 : 1)) { if (std::binary_search(dsts.begin(), dsts.end(), src)) continue; for (bool me : {true, false}) { - const PathSelection sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity, true, me); - const PriorityValues values {&g, sel.priority, W}; - for (auto placement : {FlowPlacement::EqualBalanced, FlowPlacement::MaxFlow}) { - const auto want = general_path(g, support, src, dsts, sel, PriorityFn::of(values), W, placement, + const RouteChoice sel {me ? RouteTieBreak::FewerHops : RouteTieBreak::HigherCapacity, true, me}; + const PriorityValues values {&g, sel.tie_break, W}; + for (auto placement : {RouteAllocation::Equal, RouteAllocation::Optimized}) { + const auto want = general_path(g, support, src, dsts, sel, PriorityReader::of(values), W, placement, Admission::Lossless); - const auto got = cost_only_creation(g, support, src, dsts, sel, PriorityFn::of(values), placement, + const auto got = prepare_shortest_paths(g, support, src, dsts, sel, PriorityReader::of(values), placement, Admission::Lossless, WeightSource {}); ASSERT_EQ(got.has_value(), !want.route.empty()); if (!got) continue; - EXPECT_TRUE(*got->bundle == *want.bundle); - EXPECT_EQ(got->bundle == support, want.bundle == support); - expect_same_plan(got->plan, want.plan, "shape " + std::to_string(shape) + " src " + std::to_string(src)); - EXPECT_EQ(got->cost, want.cost); + EXPECT_TRUE(*got->route == *want.record_route); + EXPECT_EQ(got->route == support, want.record_route == support); + expect_same_plan(got->prepared_route, want.plan, "shape " + std::to_string(shape) + " src " + std::to_string(src)); + EXPECT_EQ(got->min_route_cost, want.cost); ++made; anycast += dsts.size() > 1 ? 1 : 0; } @@ -377,7 +380,7 @@ TEST(CostOnlyCreation, CraftedSupportsGiveNothingOrTheGeneralPath) { // destination, members below one unit. The one pass declines them or equals the general path. std::mt19937 rng(99); long made = 0; - long trimmed = 0; // answers whose bundle is not the support itself + long trimmed = 0; // answers whose record route is not the support itself long declined = 0; for (int trial = 0; trial < 1500; ++trial) { const int n = 3 + static_cast(rng() % 8); @@ -389,8 +392,8 @@ TEST(CostOnlyCreation, CraftedSupportsGiveNothingOrTheGeneralPath) { for (int i = 0; i < n; ++i) rank[static_cast(perm[static_cast(i)])] = i; std::vector chosen; for (EdgeId e = 0; e < g.num_edges(); ++e) { - const auto u = g.edge_src()[static_cast(e)]; - const auto v = g.edge_dst()[static_cast(e)]; + const auto u = g.edge_sources()[static_cast(e)]; + const auto v = g.edge_destinations()[static_cast(e)]; if (rank[static_cast(u)] < rank[static_cast(v)] && rng() % 4 != 0) chosen.push_back(e); } const auto support = dag_of(g, chosen); @@ -398,25 +401,25 @@ TEST(CostOnlyCreation, CraftedSupportsGiveNothingOrTheGeneralPath) { std::vector dsts = {perm.back()}; if (n > 4 && rng() % 2 == 0) dsts.push_back(perm[static_cast(n / 2)]); // may have out-edges std::sort(dsts.begin(), dsts.end()); - std::vector W(g.capacity_units().begin(), g.capacity_units().end()); + std::vector W(g.edge_capacity_units().begin(), g.edge_capacity_units().end()); for (bool me : {true, false}) { - const PathSelection sel(EdgeTieBreak::Deterministic, EdgePriority::Capacity, true, me); - const PriorityValues values {&g, sel.priority, W}; + const RouteChoice sel {RouteTieBreak::FewerHops, true, me}; + const PriorityValues values {&g, sel.tie_break, W}; for (const auto& k : kKernels) { - const auto want = general_path(g, support, src, dsts, sel, PriorityFn::of(values), W, k.placement, k.admission); + const auto want = general_path(g, support, src, dsts, sel, PriorityReader::of(values), W, k.placement, k.admission); const auto got = - cost_only_creation(g, support, src, dsts, sel, PriorityFn::of(values), k.placement, k.admission, WeightSource {}); + prepare_shortest_paths(g, support, src, dsts, sel, PriorityReader::of(values), k.placement, k.admission, WeightSource {}); const std::string where = "trial " + std::to_string(trial); if (!got.has_value()) { ++declined; continue; } - EXPECT_TRUE(*got->bundle == *want.bundle) << where; - EXPECT_EQ(got->bundle == support, want.bundle == support) << where; - expect_same_plan(got->plan, want.plan, where); - EXPECT_EQ(got->cost, want.cost) << where; + EXPECT_TRUE(*got->route == *want.record_route) << where; + EXPECT_EQ(got->route == support, want.record_route == support) << where; + expect_same_plan(got->prepared_route, want.plan, where); + EXPECT_EQ(got->min_route_cost, want.cost) << where; ++made; - trimmed += *want.bundle == *support ? 0 : 1; + trimmed += *want.record_route == *support ? 0 : 1; if (::testing::Test::HasFailure()) return; } } @@ -429,43 +432,43 @@ TEST(CostOnlyCreation, CraftedSupportsGiveNothingOrTheGeneralPath) { TEST(CostOnlyCreation, DeclinesEachBrokenPrecondition) { // 0 -> 1 -> 3 and 0 -> 2 -> 3, destination 3: the general path keeps the whole route, and so // does the one pass. Each variant breaks one precondition; the one pass then answers nothing (the - // general path's members differ from its route, or it throws), except that MaxFlow and - // EqualBalanced keep a member below one unit (only Weighted gives it weight 0 and drops it). + // general path's members differ from its route, or it throws), except that Optimized and + // Equal keep a member below one unit (only Weighted gives it weight 0 and drops it). const Graph g = make_graph(6, {{0, 1, 2, 1}, {0, 2, 2, 1}, {1, 3, 2, 1}, {2, 3, 2, 1}, {3, 4, 2, 1}, {1, 5, 2, 1}, {2, 1, 2, 1}, {1, 2, 0, 1}}); const auto inv = id_of_input(g); const std::vector dsts = {3}; - const std::vector W(g.capacity_units().begin(), g.capacity_units().end()); - const PathSelection sel(EdgeTieBreak::Deterministic, EdgePriority::Capacity, true, true); - const PriorityValues values {&g, sel.priority, W}; - auto run = [&](std::vector edges, FlowPlacement placement) { + const std::vector W(g.edge_capacity_units().begin(), g.edge_capacity_units().end()); + const RouteChoice sel {RouteTieBreak::FewerHops, true, true}; + const PriorityValues values {&g, sel.tie_break, W}; + auto run = [&](std::vector edges, RouteAllocation placement) { for (auto& e : edges) e = inv[static_cast(e)]; std::sort(edges.begin(), edges.end()); const auto support = dag_of(g, edges); - return std::make_pair(support, cost_only_creation(g, support, 0, dsts, sel, PriorityFn::of(values), placement, + return std::make_pair(support, prepare_shortest_paths(g, support, 0, dsts, sel, PriorityReader::of(values), placement, Admission::Lossless, WeightSource {})); }; { - const auto [support, got] = run({0, 1, 2, 3}, FlowPlacement::EqualBalanced); + const auto [support, got] = run({0, 1, 2, 3}, RouteAllocation::Equal); ASSERT_TRUE(got.has_value()); - EXPECT_EQ(got->bundle, support); // the route is the whole support - EXPECT_EQ(got->cost, 2); - EXPECT_EQ(vec(got->plan.topo), (std::vector {0, 1, 2, 3})); + EXPECT_EQ(got->route, support); // the route is the whole support + EXPECT_EQ(got->min_route_cost, 2); + EXPECT_EQ(vec(got->prepared_route.topological_order), (std::vector {0, 1, 2, 3})); } // An edge leaving the destination (3 -> 4). - EXPECT_FALSE(run({0, 1, 2, 3, 4}, FlowPlacement::EqualBalanced).second.has_value()); + EXPECT_FALSE(run({0, 1, 2, 3, 4}, RouteAllocation::Equal).second.has_value()); // A node that reaches no destination (1 -> 5). - EXPECT_FALSE(run({0, 1, 2, 3, 5}, FlowPlacement::EqualBalanced).second.has_value()); - // A member below one unit (1 -> 2 has no capacity): declined for Weighted, kept by MaxFlow and - // EqualBalanced. - EXPECT_FALSE(run({0, 1, 2, 3, 7}, FlowPlacement::Weighted).second.has_value()); - EXPECT_TRUE(run({0, 1, 2, 3, 7}, FlowPlacement::MaxFlow).second.has_value()); - EXPECT_TRUE(run({0, 1, 2, 3, 7}, FlowPlacement::EqualBalanced).second.has_value()); + EXPECT_FALSE(run({0, 1, 2, 3, 5}, RouteAllocation::Equal).second.has_value()); + // A member below one unit (1 -> 2 has no capacity): declined for Weighted, kept by Optimized and + // Equal. + EXPECT_FALSE(run({0, 1, 2, 3, 7}, RouteAllocation::Weighted).second.has_value()); + EXPECT_TRUE(run({0, 1, 2, 3, 7}, RouteAllocation::Optimized).second.has_value()); + EXPECT_TRUE(run({0, 1, 2, 3, 7}, RouteAllocation::Equal).second.has_value()); // A cycle (1 -> 2 -> 1): declined, and the general path throws. { - const auto [support, got] = run({0, 1, 2, 3, 6, 7}, FlowPlacement::MaxFlow); + const auto [support, got] = run({0, 1, 2, 3, 6, 7}, RouteAllocation::Optimized); EXPECT_FALSE(got.has_value()); - EXPECT_THROW((void)general_path(g, support, 0, dsts, sel, PriorityFn::of(values), W, FlowPlacement::MaxFlow, + EXPECT_THROW((void)general_path(g, support, 0, dsts, sel, PriorityReader::of(values), W, RouteAllocation::Optimized, Admission::Lossless), std::logic_error); } @@ -474,63 +477,63 @@ TEST(CostOnlyCreation, DeclinesEachBrokenPrecondition) { std::vector edges = {inv[0], inv[1], inv[2], inv[3]}; std::sort(edges.begin(), edges.end()); const auto support = dag_of(g, edges); - const PathSelection single(EdgeTieBreak::Deterministic, EdgePriority::Capacity, false, true); - EXPECT_FALSE(cost_only_creation(g, support, 0, dsts, single, PriorityFn::of(values), FlowPlacement::EqualBalanced, + const RouteChoice single {RouteTieBreak::FewerHops, false, true}; + EXPECT_FALSE(prepare_shortest_paths(g, support, 0, dsts, single, PriorityReader::of(values), RouteAllocation::Equal, Admission::Lossless, WeightSource {}) .has_value()); - const PathSelection residual(EdgeTieBreak::Deterministic, EdgePriority::Residual, true, true); - EXPECT_FALSE(cost_only_creation(g, support, 0, dsts, residual, PriorityFn::of(values), FlowPlacement::Weighted, + const RouteChoice residual {RouteTieBreak::FewerHops, true, true}; + EXPECT_FALSE(prepare_shortest_paths(g, support, 0, dsts, residual, PriorityReader::of(values), RouteAllocation::Weighted, Admission::Lossless, WeightSource {WeightBasis::ResidualSnapshot, {}}) .has_value()); - EXPECT_FALSE(cost_only_creation(g, support, 0, std::vector {5}, sel, PriorityFn::of(values), - FlowPlacement::EqualBalanced, Admission::Lossless, WeightSource {}) + EXPECT_FALSE(prepare_shortest_paths(g, support, 0, std::vector {5}, sel, PriorityReader::of(values), + RouteAllocation::Equal, Admission::Lossless, WeightSource {}) .has_value()); } } TEST(KernelPlanBlock, CopiesAndMovesKeepTheirOwnViews) { const Graph g = make_graph(4, {{0, 1, 3, 1}, {0, 2, 2, 1}, {1, 3, 3, 1}, {2, 3, 2, 1}}); - const auto dag = PredDAGBuilder::of_edges(g, all_ids(g)); + const auto dag = PredecessorDAGBuilder::of_edges(g, all_ids(g)); const std::vector dsts = {3}; - const KernelPlan original = - make_plan(g, FlowPlacement::Weighted, Admission::Lossless, WeightSource {}, 0, dsts, dag); - ASSERT_EQ(original.topo.size(), 4U); - ASSERT_EQ(original.head_pos.size(), 4U); - ASSERT_EQ(vec(original.dsts), dsts); + const PreparedRoute original = + prepare_route(g, RouteAllocation::Weighted, Admission::Lossless, WeightSource {}, 0, dsts, dag); + ASSERT_EQ(original.topological_order.size(), 4U); + ASSERT_EQ(original.edge_destination_positions.size(), 4U); + ASSERT_EQ(vec(original.destinations), dsts); // A copy's views point into its own block (none into the source's), and stay valid once the // source is gone. - auto own_block = [](const KernelPlan& a, const KernelPlan& b) { - return a.roots.data() != b.roots.data() && a.root_pos.data() != b.root_pos.data() && - a.dsts.data() != b.dsts.data() && a.topo.data() != b.topo.data() && - a.out_begin.data() != b.out_begin.data() && a.out_end.data() != b.out_end.data() && - a.head_pos.data() != b.head_pos.data() && a.terminal.data() != b.terminal.data(); + auto own_block = [](const PreparedRoute& a, const PreparedRoute& b) { + return a.sources.data() != b.sources.data() && a.source_positions.data() != b.source_positions.data() && + a.destinations.data() != b.destinations.data() && a.topological_order.data() != b.topological_order.data() && + a.outgoing_begin.data() != b.outgoing_begin.data() && a.outgoing_end.data() != b.outgoing_end.data() && + a.edge_destination_positions.data() != b.edge_destination_positions.data() && a.is_destination.data() != b.is_destination.data(); }; - std::optional source(original); - const KernelPlan copy(*source); + std::optional source(original); + const PreparedRoute copy(*source); EXPECT_TRUE(own_block(copy, *source)); source.reset(); expect_same_plan(copy, original, "copy"); - KernelPlan donor(copy); - KernelPlan moved(std::move(donor)); + PreparedRoute donor(copy); + PreparedRoute moved(std::move(donor)); expect_same_plan(moved, original, "move"); - EXPECT_TRUE(donor.topo.empty() && donor.dsts.empty() && donor.head_pos.empty() && donor.terminal.empty() && - donor.roots.empty() && donor.root_pos.empty()); - KernelPlan assigned; + EXPECT_TRUE(donor.topological_order.empty() && donor.destinations.empty() && donor.edge_destination_positions.empty() && donor.is_destination.empty() && + donor.sources.empty() && donor.source_positions.empty()); + PreparedRoute assigned; assigned = copy; expect_same_plan(assigned, original, "copy assignment"); EXPECT_TRUE(own_block(assigned, copy)); - KernelPlan target = make_plan(g, FlowPlacement::EqualBalanced, Admission::Lossless, WeightSource {}, 1, dsts, dag); + PreparedRoute target = prepare_route(g, RouteAllocation::Equal, Admission::Lossless, WeightSource {}, 1, dsts, dag); target = std::move(moved); expect_same_plan(target, original, "move assignment"); - EXPECT_TRUE(moved.topo.empty() && moved.dsts.empty() && moved.head_pos.empty() && moved.terminal.empty() && - moved.roots.empty() && moved.root_pos.empty()); - const KernelPlan& self = target; + EXPECT_TRUE(moved.topological_order.empty() && moved.destinations.empty() && moved.edge_destination_positions.empty() && moved.is_destination.empty() && + moved.sources.empty() && moved.source_positions.empty()); + const PreparedRoute& self = target; target = self; expect_same_plan(target, original, "self assignment"); - const KernelPlan empty; - const KernelPlan empty_copy(empty); - EXPECT_TRUE(empty_copy.dsts.empty() && empty_copy.topo.empty() && empty_copy.members.empty() && - empty_copy.roots.empty() && empty_copy.root_pos.empty()); + const PreparedRoute empty; + const PreparedRoute empty_copy(empty); + EXPECT_TRUE(empty_copy.destinations.empty() && empty_copy.topological_order.empty() && empty_copy.forwarding_edges.empty() && + empty_copy.sources.empty() && empty_copy.source_positions.empty()); } // A lifetime witness: two identical chains, 0 -> 1 -> 2 and 3 -> 4 -> 5, give plans of one shape @@ -543,15 +546,15 @@ TEST(KernelPlanBlock, ACopyOutlivesItsSource) { const Graph g = make_graph(6, {{0, 1, 2, 1}, {1, 2, 2, 1}, {3, 4, 2, 1}, {4, 5, 2, 1}}); auto chain = [&](NodeId src, NodeId dst) { const std::vector edges = src == 0 ? std::vector {0, 1} : std::vector {2, 3}; - const auto dag = PredDAGBuilder::of_edges(g, edges); - return make_plan(g, FlowPlacement::EqualBalanced, Admission::Lossless, WeightSource {}, src, + const auto dag = PredecessorDAGBuilder::of_edges(g, edges); + return prepare_route(g, RouteAllocation::Equal, Admission::Lossless, WeightSource {}, src, std::vector {dst}, dag); }; for (const bool assign : {false, true}) { - std::optional owner(chain(0, 2)); - ASSERT_EQ(vec(owner->roots), (std::vector {0})); - ASSERT_EQ(vec(owner->root_pos), (std::vector {0})); - std::optional copy; + std::optional owner(chain(0, 2)); + ASSERT_EQ(vec(owner->sources), (std::vector {0})); + ASSERT_EQ(vec(owner->source_positions), (std::vector {0})); + std::optional copy; if (assign) { copy.emplace(chain(3, 5)); *copy = *owner; @@ -559,13 +562,13 @@ TEST(KernelPlanBlock, ACopyOutlivesItsSource) { copy.emplace(*owner); } owner.reset(); - std::vector later; + std::vector later; for (int i = 0; i < 64; ++i) later.push_back(chain(3, 5)); const std::string where = assign ? "copy assignment" : "copy construction"; - EXPECT_EQ(vec(copy->roots), (std::vector {0})) << where; - EXPECT_EQ(vec(copy->root_pos), (std::vector {0})) << where; - EXPECT_EQ(vec(copy->dsts), (std::vector {2})) << where; - EXPECT_EQ(vec(copy->topo), (std::vector {0, 1, 2})) << where; + EXPECT_EQ(vec(copy->sources), (std::vector {0})) << where; + EXPECT_EQ(vec(copy->source_positions), (std::vector {0})) << where; + EXPECT_EQ(vec(copy->destinations), (std::vector {2})) << where; + EXPECT_EQ(vec(copy->topological_order), (std::vector {0, 1, 2})) << where; } } @@ -574,17 +577,17 @@ TEST(KernelPlanBlock, ACopyOutlivesItsSource) { // entry), and without the route only the route may differ. TEST(TestHelpers, PlanDifferencesNameEveryField) { const Graph g = make_graph(4, {{0, 1, 3, 1}, {0, 2, 2, 1}, {1, 3, 3, 1}, {2, 3, 2, 1}}); - const auto dag = PredDAGBuilder::of_edges(g, all_ids(g)); + const auto dag = PredecessorDAGBuilder::of_edges(g, all_ids(g)); const std::vector dsts = {3}; - const KernelPlan plan = - make_plan(g, FlowPlacement::Weighted, Admission::Lossless, WeightSource {}, 0, dsts, dag); + const PreparedRoute plan = + prepare_route(g, RouteAllocation::Weighted, Admission::Lossless, WeightSource {}, 0, dsts, dag); ASSERT_EQ(plan.weights.size(), 4U); EXPECT_EQ(plan_differences(plan, plan), std::vector {}); // The views' changed copies live here, as the plan's own views live in its block. std::vector nodes; std::vector positions; std::vector flags; - using Change = std::function; + using Change = std::function; auto nodes_of = [&](std::span x, bool longer) { nodes.assign(x.begin(), x.end()); if (longer) nodes.push_back(0); @@ -598,44 +601,43 @@ TEST(TestHelpers, PlanDifferencesNameEveryField) { return std::span(positions); }; const std::vector> changes = { - {"placement", [](auto& x) { x.placement = FlowPlacement::EqualBalanced; }}, - {"admission", [](auto& x) { x.admission = Admission::Lossy; }}, - {"roots", [&](auto& x) { x.roots = nodes_of(x.roots, false); }}, - {"roots", [&](auto& x) { x.roots = nodes_of(x.roots, true); }}, - {"root_pos", [&](auto& x) { x.root_pos = positions_of(x.root_pos, false); }}, - {"root_pos", [&](auto& x) { x.root_pos = positions_of(x.root_pos, true); }}, - {"dsts", [&](auto& x) { x.dsts = nodes_of(x.dsts, false); }}, - {"dsts", [&](auto& x) { x.dsts = nodes_of(x.dsts, true); }}, - {"route", [](auto& x) { x.route.push_back(0); }}, - {"route", [](auto& x) { ++x.route.back(); }}, - {"members", [](auto& x) { x.members.push_back(0); }}, - {"members", [](auto& x) { ++x.members.back(); }}, + {"allocation", [](auto& x) { x.allocation = RouteAllocation::Equal; }}, + {"sources", [&](auto& x) { x.sources = nodes_of(x.sources, false); }}, + {"sources", [&](auto& x) { x.sources = nodes_of(x.sources, true); }}, + {"source_positions", [&](auto& x) { x.source_positions = positions_of(x.source_positions, false); }}, + {"source_positions", [&](auto& x) { x.source_positions = positions_of(x.source_positions, true); }}, + {"destinations", [&](auto& x) { x.destinations = nodes_of(x.destinations, false); }}, + {"destinations", [&](auto& x) { x.destinations = nodes_of(x.destinations, true); }}, + {"support_edges", [](auto& x) { x.support_edges.push_back(0); }}, + {"support_edges", [](auto& x) { ++x.support_edges.back(); }}, + {"forwarding_edges", [](auto& x) { x.forwarding_edges.push_back(0); }}, + {"forwarding_edges", [](auto& x) { ++x.forwarding_edges.back(); }}, {"weights", [](auto& x) { x.weights.push_back(1); }}, {"weights", [](auto& x) { ++x.weights.back(); }}, - {"topo", [&](auto& x) { x.topo = nodes_of(x.topo, false); }}, - {"topo", [&](auto& x) { x.topo = nodes_of(x.topo, true); }}, - {"out_begin", [&](auto& x) { x.out_begin = positions_of(x.out_begin, false); }}, - {"out_begin", [&](auto& x) { x.out_begin = positions_of(x.out_begin, true); }}, - {"out_end", [&](auto& x) { x.out_end = positions_of(x.out_end, false); }}, - {"out_end", [&](auto& x) { x.out_end = positions_of(x.out_end, true); }}, - {"head_pos", [&](auto& x) { x.head_pos = positions_of(x.head_pos, false); }}, - {"head_pos", [&](auto& x) { x.head_pos = positions_of(x.head_pos, true); }}, - {"terminal", [&](auto& x) { - flags.assign(x.terminal.begin(), x.terminal.end()); + {"topological_order", [&](auto& x) { x.topological_order = nodes_of(x.topological_order, false); }}, + {"topological_order", [&](auto& x) { x.topological_order = nodes_of(x.topological_order, true); }}, + {"outgoing_begin", [&](auto& x) { x.outgoing_begin = positions_of(x.outgoing_begin, false); }}, + {"outgoing_begin", [&](auto& x) { x.outgoing_begin = positions_of(x.outgoing_begin, true); }}, + {"outgoing_end", [&](auto& x) { x.outgoing_end = positions_of(x.outgoing_end, false); }}, + {"outgoing_end", [&](auto& x) { x.outgoing_end = positions_of(x.outgoing_end, true); }}, + {"edge_destination_positions", [&](auto& x) { x.edge_destination_positions = positions_of(x.edge_destination_positions, false); }}, + {"edge_destination_positions", [&](auto& x) { x.edge_destination_positions = positions_of(x.edge_destination_positions, true); }}, + {"is_destination", [&](auto& x) { + flags.assign(x.is_destination.begin(), x.is_destination.end()); flags.back() = flags.back() == 0 ? 1 : 0; - x.terminal = flags; + x.is_destination = flags; }}, - {"terminal", [&](auto& x) { - flags.assign(x.terminal.begin(), x.terminal.end()); + {"is_destination", [&](auto& x) { + flags.assign(x.is_destination.begin(), x.is_destination.end()); flags.push_back(0); - x.terminal = flags; + x.is_destination = flags; }}, }; for (std::size_t k = 0; k < changes.size(); ++k) { - KernelPlan x = plan; + PreparedRoute x = plan; changes[k].second(x); EXPECT_EQ(plan_differences(x, plan), std::vector {changes[k].first}) << k; - const auto without_route = changes[k].first == "route" ? std::vector {} + const auto without_route = changes[k].first == "support_edges" ? std::vector {} : std::vector {changes[k].first}; EXPECT_EQ(plan_differences(x, plan, false), without_route) << k; // expect_same_plan reports it. diff --git a/tests/cpp/state_comparators.hpp b/tests/cpp/state_comparators.hpp index 48676d5..e3e2055 100644 --- a/tests/cpp/state_comparators.hpp +++ b/tests/cpp/state_comparators.hpp @@ -26,7 +26,7 @@ namespace netgraph::core::test { // holds and the unreserved capacity), every record field (FlowIds keep their local ids: a // reference sequence runs on another ledger), the next FlowId and the bound and orphaned owners. struct LedgerState { - std::vector allocated; + std::vector carried; std::vector residual; std::vector reserved; std::vector unreserved; @@ -47,21 +47,21 @@ inline void expect_uid_then_clear(std::vector& records, std::uint64_ inline LedgerState ledger_state(const FlowLedger& fg) { using detail::LedgerAccess; - LedgerState s {fg.allocated(), fg.residual(), fg.reserved(), fg.unreserved(), fg.records(), - LedgerAccess::next_flow_id(fg), LedgerAccess::bound_owners(fg), LedgerAccess::orphan_owners(fg)}; + LedgerState s {fg.carried(), fg.residual(), fg.reserved(), fg.unreserved(), fg.records(), + LedgerAccess::next_record_counter(fg), LedgerAccess::bound_policy_ids(fg), LedgerAccess::orphan_policy_ids(fg)}; expect_uid_then_clear(s.records, fg.uid()); return s; } inline bool same_record(const FlowRecord& a, const FlowRecord& b) { - return a.flow_id == b.flow_id && a.owner == b.owner && a.sources == b.sources && a.destinations == b.destinations && - a.admission == b.admission && a.entry == b.entry && a.bundle && b.bundle && *a.bundle == *b.bundle && - a.route_cost == b.route_cost && a.offered == b.offered && a.delivered == b.delivered && a.edges == b.edges && - a.drops == b.drops && a.reserved_edges == b.reserved_edges; + return a.flow_id == b.flow_id && a.policy_id == b.policy_id && a.sources == b.sources && a.destinations == b.destinations && + a.admission == b.admission && a.entry_id == b.entry_id && a.route && b.route && *a.route == *b.route && + a.min_route_cost == b.min_route_cost && a.offered == b.offered && a.delivered == b.delivered && a.edge_flows == b.edge_flows && + a.edge_drops == b.edge_drops && a.edge_reservations == b.edge_reservations; } inline void expect_same(const LedgerState& a, const LedgerState& b, const std::string& where) { - EXPECT_EQ(a.allocated, b.allocated) << where; + EXPECT_EQ(a.carried, b.carried) << where; EXPECT_EQ(a.residual, b.residual) << where; EXPECT_EQ(a.reserved, b.reserved) << where; EXPECT_EQ(a.unreserved, b.unreserved) << where; @@ -75,25 +75,25 @@ inline void expect_same(const LedgerState& a, const LedgerState& b, const std::s } // The ledger invariant, per projection: the aggregate is the sum of the records' edges and the -// holds the sum of their reserved_edges, each within [0, its baseline] on every edge. +// holds the sum of their edge_reservations, each within [0, its baseline] on every edge. inline void expect_balanced(const FlowLedger& fg, const std::string& where) { - const std::vector allocated = fg.allocated(); + const std::vector carried = fg.carried(); const std::vector reserved = fg.reserved(); const auto baseline = detail::LedgerAccess::baseline(fg); const auto reservation = detail::LedgerAccess::reservation_baseline(fg); - std::vector sum(allocated.size(), 0); - std::vector held(allocated.size(), 0); + std::vector sum(carried.size(), 0); + std::vector held(carried.size(), 0); for (const auto& r : fg.records()) { - for (const auto& [e, x] : r.edges) sum[static_cast(e)] += x; - for (const auto& [e, x] : r.reserved_edges) held[static_cast(e)] += x; + for (const auto& [e, x] : r.edge_flows) sum[static_cast(e)] += x; + for (const auto& [e, x] : r.edge_reservations) held[static_cast(e)] += x; } - EXPECT_EQ(sum, allocated) << where; + EXPECT_EQ(sum, carried) << where; EXPECT_EQ(held, reserved) << where; - ASSERT_EQ(baseline.size(), allocated.size()) << where; - ASSERT_EQ(reservation.size(), allocated.size()) << where; - for (std::size_t e = 0; e < allocated.size(); ++e) { - EXPECT_GE(allocated[e], 0) << where << " edge " << e; - EXPECT_LE(allocated[e], baseline[e]) << where << " edge " << e; + ASSERT_EQ(baseline.size(), carried.size()) << where; + ASSERT_EQ(reservation.size(), carried.size()) << where; + for (std::size_t e = 0; e < carried.size(); ++e) { + EXPECT_GE(carried[e], 0) << where << " edge " << e; + EXPECT_LE(carried[e], baseline[e]) << where << " edge " << e; EXPECT_GE(reserved[e], 0) << where << " edge " << e; EXPECT_LE(reserved[e], reservation[e]) << where << " edge " << e; } @@ -121,21 +121,21 @@ inline ProgramSnapshot program_snapshot(const ForwardingProgram* p) { s.destinations.assign(p->destinations().begin(), p->destinations().end()); s.tunnels.assign(p->tunnels().begin(), p->tunnels().end()); s.source_weights = p->source_weights(); - for (const auto& c : detail::ProgramAccess::data(*p).contexts) { - s.members.push_back(c.plan->members); - s.weights.push_back(c.plan->weights); - s.roots.emplace_back(c.plan->roots.begin(), c.plan->roots.end()); + for (const auto& c : detail::ProgramAccess::data(*p).split_contexts) { + s.members.push_back(c.prepared_route->forwarding_edges); + s.weights.push_back(c.prepared_route->weights); + s.roots.emplace_back(c.prepared_route->sources.begin(), c.prepared_route->sources.end()); } return s; } // Every field of a placement result. inline void expect_same(const PlacementResult& a, const PlacementResult& b, const std::string& where) { - EXPECT_EQ(a.placed, b.placed) << where; - EXPECT_EQ(a.remaining, b.remaining) << where; + EXPECT_EQ(a.call_delivered, b.call_delivered) << where; + EXPECT_EQ(a.call_undelivered, b.call_undelivered) << where; EXPECT_EQ(a.delivery_delta, b.delivery_delta) << where; - EXPECT_EQ(a.call_drops, b.call_drops) << where; - EXPECT_EQ(a.call_source_loss, b.call_source_loss) << where; + EXPECT_EQ(a.call_edge_drops, b.call_edge_drops) << where; + EXPECT_EQ(a.call_source_drops, b.call_source_drops) << where; EXPECT_EQ(a.termination, b.termination) << where; EXPECT_EQ(a.routes_changed, b.routes_changed) << where; EXPECT_EQ(a.weights_changed, b.weights_changed) << where; @@ -147,20 +147,20 @@ inline void expect_same(const PlacementResult& a, const PlacementResult& b, cons EXPECT_EQ(a.admitted, b.admitted) << where; EXPECT_EQ(a.delivered, b.delivered) << where; EXPECT_EQ(a.unadmitted, b.unadmitted) << where; - EXPECT_EQ(a.source_loss, b.source_loss) << where; - EXPECT_EQ(a.drops, b.drops) << where; + EXPECT_EQ(a.source_drops, b.source_drops) << where; + EXPECT_EQ(a.edge_drops, b.edge_drops) << where; EXPECT_TRUE(a.by_source == b.by_source) << where; EXPECT_TRUE(a.by_tunnel == b.by_tunnel) << where; EXPECT_EQ(a.total_cost, b.total_cost) << where; - EXPECT_EQ(a.cost_distribution, b.cost_distribution) << where; + EXPECT_EQ(a.marginal_cost_curve, b.marginal_cost_curve) << where; EXPECT_EQ(a.edge_flows, b.edge_flows) << where; EXPECT_EQ(a.residual, b.residual) << where; - EXPECT_EQ(a.bottleneck, b.bottleneck) << where; - EXPECT_EQ(a.reservation_edge_flows, b.reservation_edge_flows) << where; + EXPECT_EQ(a.saturated_boundary_edges, b.saturated_boundary_edges) << where; + EXPECT_EQ(a.edge_reservations, b.edge_reservations) << where; EXPECT_EQ(a.min_cut, b.min_cut) << where; } -// One live flow as the tests compare it: its local id, its route cost, its bundle's edges and its +// One live flow as the tests compare it: its local id, its route cost, its route's edges and its // program entry. struct FlowSnapshot { std::int64_t id {0}; @@ -170,22 +170,22 @@ struct FlowSnapshot { bool operator==(const FlowSnapshot&) const = default; }; -// A policy's epoch state: the call state (requested, offered, +inf, prepared, the placed -// demand), Global's cumulative curve, the installed program (its identity and its value) and T1's -// plan, CostOnly MaxFlow's support, a Pinned head's own losses, the by_tunnel rows and per cohort +// A policy's epoch state: the call state (requested, offered, +inf, prepared, the delivered +// demand), CentralizedTE's cumulative curve, the installed program (its identity and its value) and T1's +// plan, ShortestPaths Optimized's support, a Pinned head's own losses, the by_tunnel rows and per cohort // its flows. struct Epoch { Counter128 requested; Counter128 offered; bool infinite {false}; bool prepared {false}; - Amount placed {0}; + Amount delivered {0}; std::optional>> curve; const ForwardingProgram* program_id {nullptr}; ProgramSnapshot program; std::optional plan; std::vector support; - std::vector head_lost; + std::vector source_drops_by_source; std::vector by_tunnel; std::vector> cohorts; }; @@ -193,12 +193,12 @@ struct Epoch { inline Epoch epoch(const FlowPolicy& p) { const auto& pe = detail::PolicyAccess::engine(p); const auto& ep = pe.epoch; - Epoch e {ep.requested, ep.offered, ep.infinite, ep.prepared, p.placed_demand(), ep.curve, ep.program.get(), + Epoch e {ep.requested, ep.offered, ep.infinite, ep.prepared, p.delivered(), ep.marginal_cost_curve, ep.program.get(), program_snapshot(ep.program.get()), ep.plan ? std::optional(*ep.plan) : std::nullopt, ep.support, - ep.head_lost, ep.by_tunnel, {}}; - for (const auto& c : ep.cohorts) { + ep.source_drops_by_source, ep.by_tunnel, {}}; + for (const auto& c : ep.record_groups) { auto& out = e.cohorts.emplace_back(); - for (const auto& f : c) out.push_back({f.id, f.cost, f.bundle ? ascending_edges(*f.bundle) : std::vector {}, f.entry}); + for (const auto& f : c) out.push_back({f.record_counter, f.min_route_cost, f.route ? ascending_edges(*f.route) : std::vector {}, f.entry_id}); } return e; } @@ -208,12 +208,12 @@ inline void expect_same(const Epoch& a, const Epoch& b, const std::string& where EXPECT_EQ(a.offered, b.offered) << where; EXPECT_EQ(a.infinite, b.infinite) << where; EXPECT_EQ(a.prepared, b.prepared) << where; - EXPECT_EQ(a.placed, b.placed) << where; + EXPECT_EQ(a.delivered, b.delivered) << where; EXPECT_EQ(a.curve, b.curve) << where; EXPECT_TRUE(a.program == b.program) << where; EXPECT_TRUE(a.plan == b.plan) << where; EXPECT_EQ(a.support, b.support) << where; - EXPECT_EQ(a.head_lost, b.head_lost) << where; + EXPECT_EQ(a.source_drops_by_source, b.source_drops_by_source) << where; EXPECT_TRUE(a.by_tunnel == b.by_tunnel) << where; EXPECT_TRUE(a.cohorts == b.cohorts) << where; } diff --git a/tests/cpp/test_utils.hpp b/tests/cpp/test_utils.hpp index 193114f..60969db 100644 --- a/tests/cpp/test_utils.hpp +++ b/tests/cpp/test_utils.hpp @@ -24,24 +24,24 @@ #include #include -#include "netgraph/core/dag_cache.hpp" -#include "netgraph/core/detail/flow_core.hpp" -#include "netgraph/core/detail/kernels.hpp" -#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/shortest_path_cache.hpp" +#include "netgraph/core/detail/min_cost_flow.hpp" +#include "netgraph/core/detail/route_kernels.hpp" +#include "netgraph/core/detail/route_builders.hpp" #include "netgraph/core/flow_ledger.hpp" #include "netgraph/core/flow_policy.hpp" #include "netgraph/core/flow_record.hpp" #include "netgraph/core/graph.hpp" -#include "netgraph/core/pred_dag.hpp" -#include "netgraph/core/program.hpp" +#include "netgraph/core/route_structures.hpp" +#include "netgraph/core/forwarding_program.hpp" #include "test_int128.hpp" namespace netgraph::core::test { -using detail::FlowCoreResult; +using detail::MinCostFlowResult; using detail::kMaxFlowCap; using detail::kNeverReached; -using detail::place_global_units; +using detail::solve_min_cost_flow; // An edge in input coordinates. struct InEdge { @@ -54,24 +54,38 @@ struct InEdge { // 2^62: the bound of capacities and of the capacity and cost sums, in units. inline constexpr Amount kL62 = Amount {1} << 62; -// The two policy configurations most tests use, both Lossless with deterministic ties and the -// capacity priority: the exact maximum flow (Global routing, the optimized origin) and CostOnly -// EqualBalanced. -inline FlowPolicyConfig global_config() { return FlowPolicyConfig {.routing = Global {}}; } -inline FlowPolicyConfig cost_only_config() { - return FlowPolicyConfig {CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, - PathSelection(EdgeTieBreak::Deterministic, EdgePriority::Capacity)}; +// CentralizedTE with its required source allocation (OPTIMIZED: the exact maximum flow), a support, +// a tunnel count (T2) and prefer_headroom. +inline CentralizedTE centralized(SourceAllocation source_allocation = SourceAllocation::Optimized, + std::shared_ptr support = {}, + std::optional tunnel_count = std::nullopt, bool prefer_headroom = false) { + CentralizedTE gl(source_allocation); + gl.support = std::move(support); + gl.tunnel_count = tunnel_count; + gl.prefer_headroom = prefer_headroom; + return gl; } -// The five statistics of a DagCache, comparable as one value. +// ShortestPaths with a route allocation (the rest default). +inline ShortestPaths shortest_paths(RouteAllocation allocation = RouteAllocation::Equal) { + ShortestPaths sp; + sp.allocation = allocation; + return sp; +} + +// The two policy configurations most tests use, both Lossless with the default route choice: the +// exact maximum flow (CentralizedTE with the optimized source allocation) and ShortestPaths ECMP. +inline FlowPolicyConfig global_config() { return FlowPolicyConfig {.routing = centralized()}; } +inline FlowPolicyConfig cost_only_config() { return FlowPolicyConfig {.routing = ShortestPaths {}}; } + +// The five statistics of a ShortestPathCache, comparable as one value. inline std::tuple stats_of( - const DagCache::Stats& s) { + const ShortestPathCache::Stats& s) { return {s.hits, s.misses, s.entries, s.bytes, s.live_values}; } // The kernel-combination errors of the configuration check. -inline const std::string kLossyKernelError = "MAX_FLOW requires admission=LOSSLESS"; -inline const std::string kHeadroomKernelError = "the Weighted kernel is rejected with priority Headroom (weights are units)"; +inline const std::string kLossyKernelError = "OPTIMIZED requires admission=LOSSLESS"; inline Graph make_graph(std::int32_t n, const std::vector& edges, double q = 1.0) { std::vector src, dst; @@ -87,13 +101,13 @@ inline Graph make_graph(std::int32_t n, const std::vector& edges, double } // m random edges on n nodes (self-loops and parallel edges allowed): capacities min_capacity to 4 -// units, costs 1 to max_cost times scale. The draws are in a braced list, so their order is fixed. -inline Graph random_graph(std::mt19937& rng, int n, int m, Cost max_cost, Cost scale = 1, Amount min_capacity = 0) { +// units, costs 1 to max_edge_cost times scale. The draws are in a braced list, so their order is fixed. +inline Graph random_graph(std::mt19937& rng, int n, int m, Cost max_edge_cost, Cost scale = 1, Amount min_capacity = 0) { std::vector edges; for (int i = 0; i < m; ++i) { edges.push_back({static_cast(rng() % static_cast(n)), static_cast(rng() % static_cast(n)), min_capacity + static_cast(rng() % static_cast(5 - min_capacity)), - scale * static_cast(1 + rng() % static_cast(max_cost))}); + scale * static_cast(1 + rng() % static_cast(max_edge_cost))}); } return make_graph(n, edges); } @@ -148,10 +162,10 @@ inline std::vector edge_amount_defects() { {{9, -1, 0, 0}, " has length 4, expected 3 (one entry per edge)"}, {{-5, 9}, " has length 2, expected 3 (one entry per edge)"}, {{}, " has length 0, expected 3 (one entry per edge)"}, - {{0, -1, 3}, "[1] = -1 is outside [0, capacity_units[1] = 2]"}, - {{0, 3, -1}, "[1] = 3 is outside [0, capacity_units[1] = 2]"}, - {{2, 0, 3}, "[2] = 3 is outside [0, capacity_units[2] = 2]"}, - {{-1, -1, -1}, "[0] = -1 is outside [0, capacity_units[0] = 2]"}, + {{0, -1, 3}, "[1] = -1 is outside [0, edge_capacity_units[1] = 2]"}, + {{0, 3, -1}, "[1] = 3 is outside [0, edge_capacity_units[1] = 2]"}, + {{2, 0, 3}, "[2] = 3 is outside [0, edge_capacity_units[2] = 2]"}, + {{-1, -1, -1}, "[0] = -1 is outside [0, edge_capacity_units[0] = 2]"}, }; } @@ -171,14 +185,14 @@ inline std::vector all_ids(const Graph& g) { return out; } -// The PredDAG of a set of EdgeIds (the builder's of_edges). -inline std::shared_ptr dag_of(const Graph& g, std::vector edges) { - return std::make_shared(detail::PredDAGBuilder::of_edges(g, edges)); +// The PredecessorDAG of a set of EdgeIds (the builder's of_edges). +inline std::shared_ptr dag_of(const Graph& g, std::vector edges) { + return std::make_shared(detail::PredecessorDAGBuilder::of_edges(g, edges)); } // A DAG's edges in ascending EdgeId (the builder's view of the storage). -inline std::vector ascending_edges(const PredDAG& dag) { - const auto e = detail::PredDAGBuilder::ascending(dag); +inline std::vector ascending_edges(const PredecessorDAG& dag) { + const auto e = detail::PredecessorDAGBuilder::ascending(dag); return {e.begin(), e.end()}; } @@ -188,23 +202,23 @@ inline std::vector allowed_nodes(std::vector set, const Eligibil set.erase(std::unique(set.begin(), set.end()), set.end()); std::vector out; for (NodeId v : set) { - if (elig == nullptr || elig->node_ok(v)) out.push_back(v); + if (elig == nullptr || elig->allows_node(v)) out.push_back(v); } return out; } -// The bundle of every edge of g. -inline std::shared_ptr all_edges(const Graph& g) { return dag_of(g, all_ids(g)); } +// The DAG of every edge of g. +inline std::shared_ptr all_edges(const Graph& g) { return dag_of(g, all_ids(g)); } // Pinned routing over a supplied program of split routes of one head, in order (weight 1 each; -// placement absent: EqualBalanced). -inline Pinned pinned_dags(const Graph& g, NodeId src, NodeId dst, const std::vector>& dags, - std::optional placement = std::nullopt, Admission admission = Admission::Lossless) { +// placement absent: Equal). +inline Pinned pinned_dags(const Graph& g, NodeId src, NodeId dst, const std::vector>& dags, + std::optional placement = std::nullopt, Admission admission = Admission::Lossless) { (void)admission; - std::vector routes; - for (const auto& d : dags) routes.push_back(Route {src, d, 1}); + std::vector routes; + for (const auto& d : dags) routes.push_back(RouteDefinition {src, d, 1}); RouteOptions options; - options.placement = placement; + options.allocation = placement; const NodeId s[1] = {src}; const NodeId t[1] = {dst}; return Pinned {ForwardingProgram::from_routes(g, s, t, routes, options), nullptr}; @@ -213,38 +227,38 @@ inline Pinned pinned_dags(const Graph& g, NodeId src, NodeId dst, const std::vec // Pinned routing over a supplied program of tunnels: (head, EdgeIds in path order, weight). inline Pinned pinned_paths(const Graph& g, const std::vector& sources, const std::vector& destinations, const std::vector, Amount>>& tunnels) { - std::vector routes; + std::vector routes; for (const auto& [head, edges, weight] : tunnels) { std::vector> hops; for (EdgeId e : edges) hops.push_back({e}); - routes.push_back(Route {head, std::make_shared(g, hops), weight}); + routes.push_back(RouteDefinition {head, std::make_shared(g, hops), weight}); } return Pinned {ForwardingProgram::from_routes(g, sources, destinations, routes), nullptr}; } // Every operation counter of two solves (the counter struct has no ==). -inline bool same_counters(const detail::FlowCoreCounters& x, const detail::FlowCoreCounters& y) { +inline bool same_counters(const detail::MinCostFlowCounters& x, const detail::MinCostFlowCounters& y) { return x.dijkstra_runs == y.dijkstra_runs && x.dijkstra_pops == y.dijkstra_pops && x.settled == y.settled && x.arc_scans == y.arc_scans && x.dinic_phases == y.dinic_phases && x.augmentations == y.augmentations; } // Every field of a network against its copy `in`. -inline bool same_network(const detail::Network& net, const detail::Network& in) { - return net.num_nodes == in.num_nodes && net.edges == in.edges && net.tail == in.tail && net.head == in.head && - net.cost == in.cost && net.cap == in.cap && net.sources == in.sources && net.destinations == in.destinations && - net.off == in.off && net.arc_head == in.arc_head && net.rev == in.rev && net.arc_cost == in.arc_cost && - net.edge_slot == in.edge_slot && net.src_rev == in.src_rev && net.dst_fwd == in.dst_fwd; +inline bool same_network(const detail::ResidualNetwork& net, const detail::ResidualNetwork& in) { + return net.num_nodes == in.num_nodes && net.edges == in.edges && net.edge_sources == in.edge_sources && net.edge_destinations == in.edge_destinations && + net.cost == in.cost && net.edge_capacities == in.edge_capacities && net.sources == in.sources && net.destinations == in.destinations && + net.arc_offsets == in.arc_offsets && net.arc_destinations == in.arc_destinations && net.reverse_arcs == in.reverse_arcs && net.arc_cost == in.arc_cost && + net.edge_forward_arcs == in.edge_forward_arcs && net.source_reverse_arcs == in.source_reverse_arcs && net.destination_forward_arcs == in.destination_forward_arcs; } // Every field of a deletion re-solve's result, its operation counters included. inline bool same_result(const detail::DeletionResult& a, const detail::DeletionResult& b) { - return a.value == b.value && a.potentials == b.potentials && a.cut == b.cut && a.edge_flows == b.edge_flows && + return a.value == b.value && a.potentials == b.potentials && a.min_cut == b.min_cut && a.edge_flows == b.edge_flows && same_counters(a.counters, b.counters); } -// The caller's inverse of input_index(): input position -> EdgeId. +// The caller's inverse of input_positions(): input position -> EdgeId. inline std::vector id_of_input(const Graph& g) { - auto ii = g.input_index(); + auto ii = g.input_positions(); std::vector inv(ii.size()); for (std::size_t e = 0; e < ii.size(); ++e) inv[static_cast(ii[e])] = static_cast(e); return inv; @@ -260,7 +274,7 @@ inline std::shared_ptr chain_graph(std::int32_t n, Amount cap) { // A per-edge array in input order, permuted to id order. template std::vector to_ids(const Graph& g, const std::vector& by_input) { - auto ii = g.input_index(); + auto ii = g.input_positions(); std::vector out(ii.size()); for (std::size_t e = 0; e < ii.size(); ++e) out[e] = by_input[static_cast(ii[e])]; return out; @@ -269,7 +283,7 @@ std::vector to_ids(const Graph& g, const std::vector& by_input) { // A per-edge array in id order, permuted to input order. template std::vector to_input(const Graph& g, std::span by_id) { - auto ii = g.input_index(); + auto ii = g.input_positions(); std::vector out(ii.size()); for (std::size_t e = 0; e < ii.size(); ++e) out[static_cast(ii[e])] = by_id[e]; return out; @@ -283,22 +297,22 @@ std::vector to_input(const Graph& g, const std::vector& by_id) { // EdgeIds translated to sorted input positions. inline std::vector ids_to_input(const Graph& g, const std::vector& ids) { std::vector out; - for (EdgeId e : ids) out.push_back(g.input_index()[static_cast(e)]); + for (EdgeId e : ids) out.push_back(g.input_positions()[static_cast(e)]); std::sort(out.begin(), out.end()); return out; } inline std::vector> curve(std::initializer_list> c) { return c; } -inline FlowCoreResult solve(const Graph& g, std::vector s, std::vector d, +inline MinCostFlowResult solve(const Graph& g, std::vector s, std::vector d, std::optional cap, const std::vector* view = nullptr, const Eligibility* elig = nullptr) { - std::vector full(g.capacity_units().begin(), g.capacity_units().end()); - return place_global_units(g, view ? std::span(*view) : std::span(full), s, d, elig, cap); + std::vector full(g.edge_capacity_units().begin(), g.edge_capacity_units().end()); + return solve_min_cost_flow(g, view ? std::span(*view) : std::span(full), s, d, elig, cap); } -inline bool same_payload(const FlowCoreResult& a, const FlowCoreResult& b) { - return a.placed == b.placed && a.cost_distribution == b.cost_distribution && a.edge_flows == b.edge_flows && +inline bool same_payload(const MinCostFlowResult& a, const MinCostFlowResult& b) { + return a.flow_value == b.flow_value && a.marginal_cost_curve == b.marginal_cost_curve && a.edge_flows == b.edge_flows && a.min_cut == b.min_cut && a.potentials == b.potentials && same_counters(a.counters, b.counters); } @@ -311,11 +325,11 @@ inline std::map exhaustive_costs(const Graph& g, std::span(g.num_nodes()); std::vector free; for (std::size_t e = 0; e < m; ++e) { - if (elig == nullptr || elig->edge_ok(static_cast(e))) free.push_back(e); + if (elig == nullptr || elig->allows_edge(static_cast(e))) free.push_back(e); } std::set S, D; - for (NodeId s : srcs) if (elig == nullptr || elig->node_ok(s)) S.insert(s); - for (NodeId d : dsts) if (elig == nullptr || elig->node_ok(d)) D.insert(d); + for (NodeId s : srcs) if (elig == nullptr || elig->allows_node(s)) S.insert(s); + for (NodeId d : dsts) if (elig == nullptr || elig->allows_node(d)) D.insert(d); std::map best; std::vector f(free.size(), 0); while (true) { @@ -323,9 +337,9 @@ inline std::map exhaustive_costs(const Graph& g, std::span(g.edge_src()[e])] -= f[k]; - bal[static_cast(g.edge_dst()[e])] += f[k]; - cost += static_cast(g.cost()[e]) * f[k]; + bal[static_cast(g.edge_sources()[e])] -= f[k]; + bal[static_cast(g.edge_destinations()[e])] += f[k]; + cost += static_cast(g.edge_costs()[e]) * f[k]; } bool ok = true; Amount value = 0; @@ -360,11 +374,11 @@ inline std::vector> independent_curve(const Graph& g, const int S = n, T = n + 1; std::vector arcs; for (std::size_t e = 0; e < static_cast(g.num_edges()); ++e) { - if (elig != nullptr && !elig->edge_ok(static_cast(e))) continue; - arcs.push_back({g.edge_src()[e], g.edge_dst()[e], view[e], g.cost()[e], 0}); + if (elig != nullptr && !elig->allows_edge(static_cast(e))) continue; + arcs.push_back({g.edge_sources()[e], g.edge_destinations()[e], view[e], g.edge_costs()[e], 0}); } - for (NodeId s : srcs) if (elig == nullptr || elig->node_ok(s)) arcs.push_back({S, s, kMaxFlowCap, 0, 0}); - for (NodeId d : dsts) if (elig == nullptr || elig->node_ok(d)) arcs.push_back({d, T, kMaxFlowCap, 0, 0}); + for (NodeId s : srcs) if (elig == nullptr || elig->allows_node(s)) arcs.push_back({S, s, kMaxFlowCap, 0, 0}); + for (NodeId d : dsts) if (elig == nullptr || elig->allows_node(d)) arcs.push_back({d, T, kMaxFlowCap, 0, 0}); std::vector> pts{{0, 0}}; while (true) { const Int128 inf = int128_max(); @@ -426,12 +440,12 @@ inline Int128 curve_at(const std::vector>& pts, Amount return pts.back().second; } -// The curve clauses shared by the flow certificates (certify below, the MaxFlow kernel step's in -// kernels_tests.cpp and the Global policy's cumulative curve in flow_policy_tests.cpp). The shape: every volume positive and the costs strictly increasing; the +// The curve clauses shared by the flow certificates (certify below, the Optimized kernel step's in +// route_kernels_tests.cpp and the CentralizedTE policy's cumulative curve in flow_policy_tests.cpp). The shape: every volume positive and the costs strictly increasing; the // curve's total equals the delivered value and its moment (the sum of cost x volume) the flow's // cost. Returns the curve's breakpoints [(value, cost)] from (0, 0). inline std::vector> curve_shape_clauses(const std::vector>& curve, - Amount placed, Int128 moment, + Amount delivered, Int128 moment, std::vector& fails) { std::vector> pts {{0, 0}}; for (std::size_t i = 0; i < curve.size(); ++i) { @@ -440,7 +454,7 @@ inline std::vector> curve_shape_clauses(const std::vec if (i > 0 && c <= curve[i - 1].first) fails.push_back("curve costs not strictly increasing"); pts.emplace_back(pts.back().first + u, pts.back().second + static_cast(c) * u); } - if (pts.back().first != placed) fails.push_back("curve total differs from placed"); + if (pts.back().first != delivered) fails.push_back("curve total differs from placed"); if (pts.back().second != moment) fails.push_back("curve moment differs from the flow cost"); return pts; } @@ -466,7 +480,7 @@ inline void curve_optimum_clause(const std::vector>& p // The cost of a flow given per EdgeId: the sum of cost x flow, exact in 128 bits. inline Int128 flow_cost(const Graph& g, std::span flows) { Int128 total = 0; - for (std::size_t e = 0; e < flows.size(); ++e) total += static_cast(g.cost()[e]) * flows[e]; + for (std::size_t e = 0; e < flows.size(); ++e) total += static_cast(g.edge_costs()[e]) * flows[e]; return total; } @@ -478,26 +492,26 @@ struct FlowBalance { }; // The flow clauses of the flow certificates (certify below, the deletion re-solve's in -// flow_core_deletion_tests.cpp and the Global policy's in flow_policy_tests.cpp), on a flow given +// min_cost_flow_deletion_tests.cpp and the CentralizedTE policy's in flow_policy_tests.cpp), on a flow given // per EdgeId: every edge flow within [0, view] and zero on an edge the Eligibility excludes; a // source absorbs nothing and a destination emits nothing (a node in both sets counts as a // source), an excluded one carries nothing, and every other node passes on what it receives; -// what the sources send out and what the destinations receive both equal `placed`. Appends the +// what the sources send out and what the destinations receive both equal `delivered`. Appends the // failed clauses to `fails`. inline FlowBalance flow_clauses(const Graph& g, std::span view, std::span flows, const std::vector& srcs, const std::vector& dsts, - const Eligibility* elig, Amount placed, std::vector& fails) { + const Eligibility* elig, Amount delivered, std::vector& fails) { const auto m = static_cast(g.num_edges()); const auto n = static_cast(g.num_nodes()); - auto edge_ok = [&](std::size_t e) { return elig == nullptr || elig->edge_ok(static_cast(e)); }; - auto node_ok = [&](NodeId v) { return elig == nullptr || elig->node_ok(v); }; + auto edge_allowed = [&](std::size_t e) { return elig == nullptr || elig->allows_edge(static_cast(e)); }; + auto node_allowed = [&](NodeId v) { return elig == nullptr || elig->allows_node(v); }; std::vector bal(n, 0); // inflow minus outflow for (std::size_t e = 0; e < m; ++e) { const Amount f = flows[e]; if (f < 0 || f > view[e]) fails.push_back("feasibility at edge " + std::to_string(e)); - if (!edge_ok(e) && f != 0) fails.push_back("flow on an ineligible edge " + std::to_string(e)); - bal[static_cast(g.edge_src()[e])] -= f; - bal[static_cast(g.edge_dst()[e])] += f; + if (!edge_allowed(e) && f != 0) fails.push_back("flow on an ineligible edge " + std::to_string(e)); + bal[static_cast(g.edge_sources()[e])] -= f; + bal[static_cast(g.edge_destinations()[e])] += f; } const std::set S(srcs.begin(), srcs.end()), D(dsts.begin(), dsts.end()); FlowBalance out {std::vector(n, 0), std::vector(n, 0)}; @@ -506,19 +520,19 @@ inline FlowBalance flow_clauses(const Graph& g, std::span view, st const auto node = static_cast(v); if (S.count(node)) { if (bal[v] > 0) fails.push_back("source absorbs flow"); - if (!node_ok(node) && bal[v] != 0) fails.push_back("excluded source supplies"); + if (!node_allowed(node) && bal[v] != 0) fails.push_back("excluded source supplies"); out.supply[v] = -bal[v]; supply += -bal[v]; } else if (D.count(node)) { if (bal[v] < 0) fails.push_back("destination emits flow"); - if (!node_ok(node) && bal[v] != 0) fails.push_back("excluded destination receives"); + if (!node_allowed(node) && bal[v] != 0) fails.push_back("excluded destination receives"); out.inflow[v] = bal[v]; inflow += bal[v]; } else if (bal[v] != 0) { fails.push_back("conservation at node " + std::to_string(v)); } } - if (supply != placed || inflow != placed) fails.push_back("value differs from supply or inflow"); + if (supply != delivered || inflow != delivered) fails.push_back("value differs from supply or inflow"); return out; } @@ -532,9 +546,9 @@ inline std::vector residual_closure(const Graph& g, std::span(g.num_nodes()); std::vector> next(n); for (std::size_t e = 0; e < m; ++e) { - if (elig != nullptr && !elig->edge_ok(static_cast(e))) continue; - const auto u = static_cast(g.edge_src()[e]); - const auto v = static_cast(g.edge_dst()[e]); + if (elig != nullptr && !elig->allows_edge(static_cast(e))) continue; + const auto u = static_cast(g.edge_sources()[e]); + const auto v = static_cast(g.edge_destinations()[e]); if (flows[e] < view[e]) next[u].push_back(v); if (flows[e] > 0) next[v].push_back(u); } @@ -542,7 +556,7 @@ inline std::vector residual_closure(const Graph& g, std::span queue; for (NodeId s : seeds) { const auto x = static_cast(s); - if ((elig == nullptr || elig->node_ok(s)) && seen[x] == 0) { + if ((elig == nullptr || elig->allows_node(s)) && seen[x] == 0) { seen[x] = 1; queue.push_back(x); } @@ -566,9 +580,9 @@ inline std::vector residual_closure(const Graph& g, std::span closure_cut(const Graph& g, const std::vector& closure, const Eligibility* elig) { std::vector cut; for (std::size_t e = 0; e < static_cast(g.num_edges()); ++e) { - if (elig != nullptr && !elig->edge_ok(static_cast(e))) continue; - if (closure[static_cast(g.edge_src()[e])] != 0 && - closure[static_cast(g.edge_dst()[e])] == 0) { + if (elig != nullptr && !elig->allows_edge(static_cast(e))) continue; + if (closure[static_cast(g.edge_sources()[e])] != 0 && + closure[static_cast(g.edge_destinations()[e])] == 0) { cut.push_back(static_cast(e)); } } @@ -581,7 +595,7 @@ inline std::vector closure_cut(const Graph& g, const std::vector& inline std::vector certify(const Graph& g, std::span view, std::vector srcs, std::vector dsts, std::optional cap, const Eligibility* elig, - const FlowCoreResult& r, bool tier_a) { + const MinCostFlowResult& r, bool tier_a) { std::vector fails; const auto m = static_cast(g.num_edges()); const auto n = static_cast(g.num_nodes()); @@ -589,24 +603,24 @@ inline std::vector certify(const Graph& g, std::span srcs.erase(std::unique(srcs.begin(), srcs.end()), srcs.end()); std::sort(dsts.begin(), dsts.end()); dsts.erase(std::unique(dsts.begin(), dsts.end()), dsts.end()); - auto edge_ok = [&](std::size_t e) { return elig == nullptr || elig->edge_ok(static_cast(e)); }; - auto node_ok = [&](NodeId v) { return elig == nullptr || elig->node_ok(v); }; + auto edge_allowed = [&](std::size_t e) { return elig == nullptr || elig->allows_edge(static_cast(e)); }; + auto node_allowed = [&](NodeId v) { return elig == nullptr || elig->allows_node(v); }; if (r.edge_flows.size() != m || r.potentials.size() != n) { fails.push_back("shape"); return fails; } if (cap.has_value() && *cap == 0) { - if (r.placed != 0 || !r.cost_distribution.empty() || r.min_cut.has_value() || + if (r.flow_value != 0 || !r.marginal_cost_curve.empty() || r.min_cut.has_value() || std::any_of(r.edge_flows.begin(), r.edge_flows.end(), [](Amount x) { return x != 0; }) || std::any_of(r.potentials.begin(), r.potentials.end(), [](Cost p) { return p != kNeverReached; }) || - !same_counters(r.counters, detail::FlowCoreCounters {})) { + !same_counters(r.counters, detail::MinCostFlowCounters {})) { fails.push_back("zero cap: the prescribed zero payload"); } return fails; } - const FlowBalance balance = flow_clauses(g, view, r.edge_flows, srcs, dsts, elig, r.placed, fails); + const FlowBalance balance = flow_clauses(g, view, r.edge_flows, srcs, dsts, elig, r.flow_value, fails); const Int128 moment = flow_cost(g, r.edge_flows); - if (r.placed < 0 || (cap.has_value() && r.placed > *cap)) fails.push_back("placed outside [0, cap]"); + if (r.flow_value < 0 || (cap.has_value() && r.flow_value > *cap)) fails.push_back("placed outside [0, cap]"); // The full residual closure, with a virtual source s* (an arc to every allowed source, and one // back from a source that sends) and a virtual sink t* (an arc from every allowed destination, // and one back to a destination that receives): t* is in it when an allowed destination is @@ -614,7 +628,7 @@ inline std::vector certify(const Graph& g, std::span // destination reaches; s* adds no node, every allowed source being a seed. std::vector seen = residual_closure(g, view, r.edge_flows, srcs, elig); const bool connected = std::any_of(dsts.begin(), dsts.end(), [&](NodeId d) { - return node_ok(d) && seen[static_cast(d)] != 0; + return node_allowed(d) && seen[static_cast(d)] != 0; }); if (connected) { std::vector seeds = srcs; @@ -624,7 +638,7 @@ inline std::vector certify(const Graph& g, std::span seen = residual_closure(g, view, r.edge_flows, seeds, elig); } if (!cap.has_value() && connected) fails.push_back("uncapped solve left the destinations connected"); - if (cap.has_value() && r.placed != *cap && connected) fails.push_back("attained value: early stop"); + if (cap.has_value() && r.flow_value != *cap && connected) fails.push_back("attained value: early stop"); if (connected) { if (r.min_cut.has_value()) fails.push_back("min_cut present on a connected solve"); } else { @@ -633,7 +647,7 @@ inline std::vector certify(const Graph& g, std::span for (const EdgeId e : expect) cut_value += view[static_cast(e)]; if (!r.min_cut.has_value()) fails.push_back("min_cut missing on a maximal solve"); else if (*r.min_cut != expect) fails.push_back("min_cut differs from the closure cut"); - if (cut_value != r.placed) fails.push_back("cut value differs from placed"); + if (cut_value != r.flow_value) fails.push_back("cut value differs from placed"); } // The vertices some search settled: the first search runs on the zero flow and settles every // vertex an allowed source reaches over eligible edges of positive view; a later search adds @@ -642,13 +656,13 @@ inline std::vector certify(const Graph& g, std::span std::vector from_zero; for (NodeId s : srcs) { const auto x = static_cast(s); - if (node_ok(s) && !settled[x]) { settled[x] = 1; from_zero.push_back(x); } + if (node_allowed(s) && !settled[x]) { settled[x] = 1; from_zero.push_back(x); } } for (std::size_t qi = 0; qi < from_zero.size(); ++qi) { for (std::size_t e = 0; e < m; ++e) { - const auto u = static_cast(g.edge_src()[e]); - const auto v = static_cast(g.edge_dst()[e]); - if (u == from_zero[qi] && edge_ok(e) && view[e] > 0 && !settled[v]) { settled[v] = 1; from_zero.push_back(v); } + const auto u = static_cast(g.edge_sources()[e]); + const auto v = static_cast(g.edge_destinations()[e]); + if (u == from_zero[qi] && edge_allowed(e) && view[e] > 0 && !settled[v]) { settled[v] = 1; from_zero.push_back(v); } } } for (std::size_t v = 0; v < n; ++v) { @@ -660,7 +674,7 @@ inline std::vector certify(const Graph& g, std::span } for (NodeId s : srcs) { const auto p = r.potentials[static_cast(s)]; - if (node_ok(s) && p != 0) fails.push_back("allowed root with potential other than 0"); + if (node_allowed(s) && p != 0) fails.push_back("allowed root with potential other than 0"); } // Every residual arc between two closure vertices with potentials: the forward arc of an // allowed edge with room (its cost) and the backward arc of one that carries flow (minus it). @@ -669,11 +683,11 @@ inline std::vector certify(const Graph& g, std::span if (w + r.potentials[u] - r.potentials[v] < 0) fails.push_back("negative reduced cost inside the closure"); }; for (std::size_t e = 0; e < m; ++e) { - if (!edge_ok(e)) continue; - const auto u = static_cast(g.edge_src()[e]); - const auto v = static_cast(g.edge_dst()[e]); - if (r.edge_flows[e] < view[e]) reduced_cost_clause(u, v, g.cost()[e]); - if (r.edge_flows[e] > 0) reduced_cost_clause(v, u, -static_cast(g.cost()[e])); + if (!edge_allowed(e)) continue; + const auto u = static_cast(g.edge_sources()[e]); + const auto v = static_cast(g.edge_destinations()[e]); + if (r.edge_flows[e] < view[e]) reduced_cost_clause(u, v, g.edge_costs()[e]); + if (r.edge_flows[e] > 0) reduced_cost_clause(v, u, -static_cast(g.edge_costs()[e])); } std::optional pt; for (NodeId d : dsts) { @@ -688,13 +702,13 @@ inline std::vector certify(const Graph& g, std::span fails.push_back("inflow destination potential differs from pi(t*)"); } } - if (!r.cost_distribution.empty() && r.cost_distribution.back().first != *pt) { + if (!r.marginal_cost_curve.empty() && r.marginal_cost_curve.back().first != *pt) { fails.push_back("pi(t*) differs from the last curve cost"); } - } else if (r.placed != 0) { + } else if (r.flow_value != 0) { fails.push_back("flow delivered but no destination reached"); } - const auto pts = curve_shape_clauses(r.cost_distribution, r.placed, moment, fails); + const auto pts = curve_shape_clauses(r.marginal_cost_curve, r.flow_value, moment, fails); std::vector> optimum; if (tier_a) { for (const auto& [x, c] : exhaustive_costs(g, view, srcs, dsts, elig)) optimum.emplace_back(x, c); @@ -703,38 +717,37 @@ inline std::vector certify(const Graph& g, std::span } const Amount fmax = optimum.back().first; const Amount top = cap.has_value() ? std::min(*cap, fmax) : fmax; - if (r.placed != top) fails.push_back("placed differs from min(cap, F_max)"); - curve_optimum_clause(pts, optimum, std::min(top, r.placed), + if (r.flow_value != top) fails.push_back("placed differs from min(cap, F_max)"); + curve_optimum_clause(pts, optimum, std::min(top, r.flow_value), tier_a ? "the exhaustive optimum" : "the independent solver", fails); return fails; } // The fields in which two kernel plans differ, by name. `with_route` false leaves the route out: a // plan built on a larger DAG keeps that DAG as its route but splits over the same members. -inline std::vector plan_differences(const detail::KernelPlan& got, const detail::KernelPlan& want, +inline std::vector plan_differences(const detail::PreparedRoute& got, const detail::PreparedRoute& want, bool with_route = true) { std::vector out; auto differ = [&](bool same, const char* name) { if (!same) out.emplace_back(name); }; - differ(got.placement == want.placement, "placement"); - differ(got.admission == want.admission, "admission"); - differ(vec(got.roots) == vec(want.roots), "roots"); - differ(vec(got.root_pos) == vec(want.root_pos), "root_pos"); - differ(vec(got.dsts) == vec(want.dsts), "dsts"); - if (with_route) differ(got.route == want.route, "route"); - differ(got.members == want.members, "members"); + differ(got.allocation == want.allocation, "allocation"); + differ(vec(got.sources) == vec(want.sources), "sources"); + differ(vec(got.source_positions) == vec(want.source_positions), "source_positions"); + differ(vec(got.destinations) == vec(want.destinations), "destinations"); + if (with_route) differ(got.support_edges == want.support_edges, "support_edges"); + differ(got.forwarding_edges == want.forwarding_edges, "forwarding_edges"); differ(got.weights == want.weights, "weights"); - differ(vec(got.topo) == vec(want.topo), "topo"); - differ(vec(got.out_begin) == vec(want.out_begin), "out_begin"); - differ(vec(got.out_end) == vec(want.out_end), "out_end"); - differ(vec(got.head_pos) == vec(want.head_pos), "head_pos"); - differ(vec(got.terminal) == vec(want.terminal), "terminal"); + differ(vec(got.topological_order) == vec(want.topological_order), "topological_order"); + differ(vec(got.outgoing_begin) == vec(want.outgoing_begin), "outgoing_begin"); + differ(vec(got.outgoing_end) == vec(want.outgoing_end), "outgoing_end"); + differ(vec(got.edge_destination_positions) == vec(want.edge_destination_positions), "edge_destination_positions"); + differ(vec(got.is_destination) == vec(want.is_destination), "is_destination"); return out; } -// One record on its own, from its fields alone: `edges` and `drops` hold positive amounts in -// strictly ascending EdgeId, only a Lossy record has `offered` and drops, and the edges carry +// One record on its own, from its fields alone: `edge_flows` and `edge_drops` hold positive amounts +// in strictly ascending EdgeId, only a Lossy record has `offered` and drops, and the edges carry // the flow. Lossless: every node other than a source or a destination passes on what it // receives, and `delivered` is the net inflow of the destinations (the net outflow of the // sources). Lossy: a transit node passes on what it receives less what is dropped on the edges @@ -745,23 +758,23 @@ inline bool expect_conserved(const Graph& g, const FlowRecord& r, const std::str const auto n = static_cast(g.num_nodes()); std::vector in(n, 0), out(n, 0), dropped_out(n, 0); Amount total_drops = 0; - for (std::size_t i = 0; i < r.edges.size(); ++i) { - const auto [e, x] = r.edges[i]; + for (std::size_t i = 0; i < r.edge_flows.size(); ++i) { + const auto [e, x] = r.edge_flows[i]; EXPECT_GT(x, 0) << where << " edge " << e; - if (i > 0) EXPECT_LT(r.edges[i - 1].first, e) << where; - out[static_cast(g.edge_src()[static_cast(e)])] += x; - in[static_cast(g.edge_dst()[static_cast(e)])] += x; + if (i > 0) EXPECT_LT(r.edge_flows[i - 1].first, e) << where; + out[static_cast(g.edge_sources()[static_cast(e)])] += x; + in[static_cast(g.edge_destinations()[static_cast(e)])] += x; } const bool lossy = r.admission == Admission::Lossy; EXPECT_EQ(r.offered.has_value(), lossy) << where; - if (!lossy) EXPECT_TRUE(r.drops.empty()) << where; - for (std::size_t i = 0; i < r.drops.size(); ++i) { - const auto& [e, c] = r.drops[i]; + if (!lossy) EXPECT_TRUE(r.edge_drops.empty()) << where; + for (std::size_t i = 0; i < r.edge_drops.size(); ++i) { + const auto& [e, c] = r.edge_drops[i]; EXPECT_EQ(c.hi, 0u) << where; // the trials' drops stay below 2^64 EXPECT_GT(c.lo, 0u) << where << " drop " << e; - if (i > 0) EXPECT_LT(r.drops[i - 1].first, e) << where; + if (i > 0) EXPECT_LT(r.edge_drops[i - 1].first, e) << where; const auto x = static_cast(c.lo); - dropped_out[static_cast(g.edge_src()[static_cast(e)])] += x; + dropped_out[static_cast(g.edge_sources()[static_cast(e)])] += x; total_drops += x; } auto in_set = [](const std::vector& set, std::size_t v) { @@ -790,7 +803,7 @@ inline bool expect_conserved(const Graph& g, const FlowRecord& r, const std::str return r.delivered > 0 || total_drops > 0; } -// An independent reference of a tunnel program's forwarding (contract 8.1 and 8.3): equal +// An independent reference of a tunnel program's forwarding: equal // sources inject a total by round robin over the roster (the heads with a tunnel, ascending), each // head splits its share by highest averages over its tunnels' weights (ascending index), and the // lossless bound is the largest total whose loads fit the capacities with no share lost at a @@ -870,7 +883,7 @@ inline bool fits(const Graph& g, const std::vector& t, Amount x) { if (!a.has_value()) return false; const auto l = loads(g, t, *a); for (std::size_t e = 0; e < l.size(); ++e) { - if (l[e] > g.capacity_units()[e]) return false; + if (l[e] > g.edge_capacity_units()[e]) return false; } return true; } @@ -879,7 +892,7 @@ inline bool fits(const Graph& g, const std::vector& t, Amount x) { // above the sum of the capacities never fits. inline Amount lossless_bound(const Graph& g, const std::vector& t) { Amount limit = 1; - for (Amount c : g.capacity_units()) limit += c; + for (Amount c : g.edge_capacity_units()) limit += c; Amount x = 0; while (x < limit && fits(g, t, x + 1)) ++x; return x; @@ -887,16 +900,16 @@ inline Amount lossless_bound(const Graph& g, const std::vector& t) { } // namespace program_reference -// An independent reference of T1 (contract 6.2 to 6.5, 8.3): the setup by brute force over the +// An independent reference of T1: the setup by brute force over the // simple paths of small graphs and the lossless bound with the policy's whole roster. It calls // none of the library's searches or apportionment helpers (its own round robin, Bellman-Ford // distances, exact comparisons in Int128). namespace t1_reference { struct Selection { - bool prefer {false}; // PreferHigherPriority - EdgePriority priority {EdgePriority::Capacity}; - bool multi_edge {true}; + RouteTieBreak tie_break {RouteTieBreak::FewerHops}; + bool parallel_edges {true}; + [[nodiscard]] bool prefer() const { return tie_break != RouteTieBreak::FewerHops; } }; struct RefTunnel { @@ -917,11 +930,11 @@ inline std::vector roster(const Graph& g, const Eligibility* elig, const const auto n = static_cast(g.num_nodes()); std::vector is_dst(n, 0); for (NodeId d : dests) { - if (elig == nullptr || elig->node_ok(d)) is_dst[static_cast(d)] = 1; + if (elig == nullptr || elig->allows_node(d)) is_dst[static_cast(d)] = 1; } std::vector out; for (NodeId s : sources) { - if (elig != nullptr && !elig->node_ok(s)) continue; + if (elig != nullptr && !elig->allows_node(s)) continue; std::vector seen(n, 0); std::vector stack {s}; seen[static_cast(s)] = 1; @@ -930,8 +943,8 @@ inline std::vector roster(const Graph& g, const Eligibility* elig, const const NodeId u = stack.back(); stack.pop_back(); for (EdgeId e = 0; e < g.num_edges(); ++e) { - if (g.edge_src()[static_cast(e)] != u || (elig != nullptr && !elig->edge_ok(e))) continue; - const NodeId w = g.edge_dst()[static_cast(e)]; + if (g.edge_sources()[static_cast(e)] != u || (elig != nullptr && !elig->allows_edge(e))) continue; + const NodeId w = g.edge_destinations()[static_cast(e)]; if (is_dst[static_cast(w)] != 0) reached = true; if (seen[static_cast(w)] == 0) { seen[static_cast(w)] = 1; @@ -956,48 +969,33 @@ inline Cost pool_baseline(const Graph& g, const Eligibility* elig, const std::ve d[static_cast(h)] = 0; for (std::size_t round = 0; round < n; ++round) { for (EdgeId e = 0; e < g.num_edges(); ++e) { - if (elig != nullptr && !elig->edge_ok(e)) continue; - const auto u = static_cast(g.edge_src()[static_cast(e)]); - const auto w = static_cast(g.edge_dst()[static_cast(e)]); + if (elig != nullptr && !elig->allows_edge(e)) continue; + const auto u = static_cast(g.edge_sources()[static_cast(e)]); + const auto w = static_cast(g.edge_destinations()[static_cast(e)]); if (d[u] == kInf) continue; - d[w] = std::min(d[w], d[u] + g.cost()[static_cast(e)]); + d[w] = std::min(d[w], d[u] + g.edge_costs()[static_cast(e)]); } } for (NodeId t : dests) { - if (elig == nullptr || elig->node_ok(t)) best = std::min(best, d[static_cast(t)]); + if (elig == nullptr || elig->allows_node(t)) best = std::min(best, d[static_cast(t)]); } } return best; } -// cost <= f * base exactly, for costs in [0, 2^63) and f finite and >= 1: f = m * 2^x with an -// integer m in [2^52, 2^53) (frexp). The magnitudes are compared before any product is formed, so -// every product stays below 2^127: base * m < 2^116; for x >= 0, a positive base gives -// f * base >= 2^(52 + x), above every cost once x >= 11, and below that rhs * 2^x < 2^126; for -// x < 0 (x >= -52, as f >= 1), cost * 2^-x < 2^115. -inline bool stretch_admits(Cost cost, Cost base, double f) { - int exp = 0; - const double frac = std::frexp(f, &exp); // f = frac * 2^exp, frac in [0.5, 1) - const auto m = static_cast(std::ldexp(frac, 53)); // f = m * 2^(exp - 53) - const int x = exp - 53; - if (base == 0) return cost == 0; - if (x >= 11) return true; - const Int128 rhs = Int128(base) * m; - auto pow2 = [](int k) { // the portable Int128 has no signed shift - Int128 v = 1; - for (int i = 0; i < k; ++i) v = v * 2; - return v; - }; - if (x >= 0) return Int128(cost) <= rhs * pow2(x); - return Int128(cost) * pow2(-x) <= rhs; +// cost <= (n / d) * base exactly, for costs in [0, 2^63) and a factor n / d >= 1: cost * d <= n * base +// in the tests' own Int128 (each product below 2^126). +inline bool stretch_admits(Cost cost, Cost base, const CostStretch& f) { + return Int128(cost) * Int128(f.denominator()) <= Int128(base) * Int128(f.numerator()); } -// A priority as the exact rational num / den (Headroom: U / C, 0 on an edge of capacity 0). -inline std::pair priority(const Graph& g, EdgePriority p, const std::vector& U, EdgeId e) { +// A HIGHER_* tie score as the exact rational num / den (HIGHER_HEADROOM: U / C, 0 on an edge of +// capacity 0). +inline std::pair priority(const Graph& g, RouteTieBreak p, const std::vector& U, EdgeId e) { const auto ei = static_cast(e); - const Amount c = g.capacity_units()[ei]; - if (p == EdgePriority::Residual) return {U[ei], 1}; - if (p == EdgePriority::Capacity) return {c, 1}; + const Amount c = g.edge_capacity_units()[ei]; + if (p == RouteTieBreak::HigherAvailableCapacity) return {U[ei], 1}; + if (p == RouteTieBreak::HigherCapacity) return {c, 1}; return c == 0 ? std::pair {0, 1} : std::pair {U[ei], c}; } inline int compare(std::pair a, std::pair b) { @@ -1006,7 +1004,7 @@ inline int compare(std::pair a, std::pair b) { return l < r ? -1 : l > r ? 1 : 0; } -// The setup of 6.2 to 6.4 for the roster `heads` (ascending) on the view U (consumed). +// T1's setup for the roster `heads` (ascending) on the view U (consumed). inline std::vector setup(const Graph& g, const Eligibility* elig, const std::vector& heads, const std::vector& dests, const Selection& sel, const std::optional& ceiling, Amount minimum, Amount D, std::int64_t N, @@ -1014,7 +1012,7 @@ inline std::vector setup(const Graph& g, const Eligibility* elig, con const auto n = static_cast(g.num_nodes()); std::vector is_dst(n, 0); for (NodeId d : dests) { - if (elig == nullptr || elig->node_ok(d)) is_dst[static_cast(d)] = 1; + if (elig == nullptr || elig->allows_node(d)) is_dst[static_cast(d)] = 1; } const Cost c0 = pool_baseline(g, elig, heads, dests); const auto H = static_cast(heads.size()); @@ -1026,26 +1024,26 @@ inline std::vector setup(const Graph& g, const Eligibility* elig, con t.slot = static_cast(i); t.request = rr(rr(D, H, i), N, j); const Amount threshold = std::max(t.request, minimum); - // The filtered member graph, then one member per (u, v) without multi_edge. + // The filtered member graph, then one member per (u, v) without parallel_edges. std::vector usable; for (EdgeId e = 0; e < g.num_edges(); ++e) { - if (elig != nullptr && !elig->edge_ok(e)) continue; + if (elig != nullptr && !elig->allows_edge(e)) continue; if (U[static_cast(e)] < threshold) continue; usable.push_back(e); } - if (!sel.multi_edge) { + if (!sel.parallel_edges) { std::map, EdgeId> pick; for (EdgeId e : usable) { - const auto key = std::pair {g.edge_src()[static_cast(e)], g.edge_dst()[static_cast(e)]}; + const auto key = std::pair {g.edge_sources()[static_cast(e)], g.edge_destinations()[static_cast(e)]}; const auto it = pick.find(key); if (it == pick.end()) { pick.emplace(key, e); continue; } const EdgeId cur = it->second; - const Cost ce = g.cost()[static_cast(e)]; - const Cost cc = g.cost()[static_cast(cur)]; - if (ce < cc || (ce == cc && sel.prefer && compare(priority(g, sel.priority, U, e), priority(g, sel.priority, U, cur)) > 0)) { + const Cost ce = g.edge_costs()[static_cast(e)]; + const Cost cc = g.edge_costs()[static_cast(cur)]; + if (ce < cc || (ce == cc && sel.prefer() && compare(priority(g, sel.tie_break, U, e), priority(g, sel.tie_break, U, cur)) > 0)) { it->second = e; } } @@ -1060,8 +1058,8 @@ inline std::vector setup(const Graph& g, const Eligibility* elig, con std::function dfs = [&](NodeId u) { on[static_cast(u)] = 1; for (EdgeId e : usable) { - if (g.edge_src()[static_cast(e)] != u) continue; - const NodeId w = g.edge_dst()[static_cast(e)]; + if (g.edge_sources()[static_cast(e)] != u) continue; + const NodeId w = g.edge_destinations()[static_cast(e)]; if (on[static_cast(w)] != 0) continue; walk.push_back(e); if (is_dst[static_cast(w)] != 0) { @@ -1074,22 +1072,22 @@ inline std::vector setup(const Graph& g, const Eligibility* elig, con on[static_cast(u)] = 0; }; dfs(t.head); - // The single-path order: cost, the bottleneck priority (PreferHigherPriority, larger first), + // The single-path order: cost, the bottleneck score (a HIGHER_* tie_break, larger first), // hops, the EdgeId sequence. const std::vector* best = nullptr; Cost best_cost = 0; std::pair best_bottleneck {0, 1}; for (const auto& p : found) { Cost cost = 0; - for (EdgeId e : p) cost += g.cost()[static_cast(e)]; + for (EdgeId e : p) cost += g.edge_costs()[static_cast(e)]; std::pair bottleneck {std::numeric_limits::max(), 1}; for (EdgeId e : p) { - const auto pr = priority(g, sel.priority, U, e); + const auto pr = priority(g, sel.tie_break, U, e); if (compare(pr, bottleneck) < 0) bottleneck = pr; } bool better = best == nullptr; if (!better && cost != best_cost) better = cost < best_cost; - else if (!better && sel.prefer && compare(bottleneck, best_bottleneck) != 0) better = compare(bottleneck, best_bottleneck) > 0; + else if (!better && sel.prefer() && compare(bottleneck, best_bottleneck) != 0) better = compare(bottleneck, best_bottleneck) > 0; else if (!better && p.size() != best->size()) better = p.size() < best->size(); else if (!better) better = p < *best; if (better) { @@ -1099,11 +1097,11 @@ inline std::vector setup(const Graph& g, const Eligibility* elig, con } } if (best == nullptr) { - t.status = TunnelStatus::NoBandwidth; - } else if (ceiling.has_value() && (std::holds_alternative(*ceiling) - ? best_cost > std::get(*ceiling).cost - : !stretch_admits(best_cost, c0, std::get(*ceiling).factor))) { - t.status = TunnelStatus::CostCeiling; + t.status = TunnelStatus::InsufficientBandwidth; + } else if (ceiling.has_value() && (std::holds_alternative(*ceiling) + ? best_cost > std::get(*ceiling).cost + : !stretch_admits(best_cost, c0, std::get(*ceiling)))) { + t.status = TunnelStatus::CostCeilingExceeded; } else { t.path = *best; t.cost = best_cost; @@ -1115,7 +1113,7 @@ inline std::vector setup(const Graph& g, const Eligibility* elig, con return out; } -// The lossless bound (8.3) of the tunnels on the free capacity V: the largest total whose round +// The lossless bound of the tunnels on the free capacity V: the largest total whose round // robin over the H heads, then over each head's up tunnels in index order, loads no edge above V // and gives no positive share to a head without an up tunnel (scanning up from 0). inline Amount lossless_bound(std::size_t H, const std::vector& tunnels, const std::vector& V) { @@ -1147,7 +1145,7 @@ inline Amount lossless_bound(std::size_t H, const std::vector& tunnel } // namespace t1_reference -// An independent reference of T2 (contract 7.2, 7.3, 7.7) for small graphs: every multiset of k +// An independent reference of T2 for small graphs: every multiset of k // simple paths per live head (a count vector x) by brute force; U = the largest // min over used edges of floor(V / x), s* = the largest min of V / x (an exact fraction), and the // minimum (J, Phi) over the vectors with x u <= V. It calls none of the library's flow, search or @@ -1166,9 +1164,9 @@ inline std::vector> paths(const Graph& g, const Eligibility* on[static_cast(u)] = 1; for (EdgeId e = 0; e < g.num_edges(); ++e) { const auto ei = static_cast(e); - if (g.edge_src()[ei] != u) continue; - const NodeId w = g.edge_dst()[ei]; - if (elig != nullptr && (!elig->edge_ok(e) || !elig->node_ok(u) || !elig->node_ok(w))) continue; + if (g.edge_sources()[ei] != u) continue; + const NodeId w = g.edge_destinations()[ei]; + if (elig != nullptr && (!elig->allows_edge(e) || !elig->allows_node(u) || !elig->allows_node(w))) continue; if (on[static_cast(w)] != 0) continue; walk.push_back(e); if (is_dst[static_cast(w)] != 0) { @@ -1202,7 +1200,7 @@ inline Result solve(const Graph& g, const Eligibility* elig, const std::vector& u_of, bool headroom) { std::vector is_dst(static_cast(g.num_nodes()), 0); for (NodeId d : dests) { - if (elig == nullptr || elig->node_ok(d)) is_dst[static_cast(d)] = 1; + if (elig == nullptr || elig->allows_node(d)) is_dst[static_cast(d)] = 1; } Result out; std::vector>> per; @@ -1263,8 +1261,8 @@ inline Result solve(const Graph& g, const Eligibility* elig, const std::vector 0 && j <= c[e]; ++j) phi = phi + slot_price(B, V[e], j, u); } if (!fits) continue; diff --git a/tests/cpp/zero_capacity_tests.cpp b/tests/cpp/zero_capacity_tests.cpp index 694159f..40f92b9 100644 --- a/tests/cpp/zero_capacity_tests.cpp +++ b/tests/cpp/zero_capacity_tests.cpp @@ -1,10 +1,10 @@ // Edges of capacity 0 stay in routing (docs/semantics.md): searches, cached supports, rosters and -// Stretch baselines read no capacity (only an explicit residual filters), an EqualBalanced split +// CostStretch baselines read no capacity (only an explicit residual filters), an Equal split // still gives a zero-capacity member its round-robin share (dropped under Lossy, blocking under -// Lossless), a Weighted split gives it weight 0 and never routes around it, sensitivity lists it, -// and Global's minimum cut lists it when it leaves the sources' residual closure. Each test checks +// Lossless), a Weighted split gives it weight 0 and never routes around it, evaluate_edge_failures lists it, +// and CentralizedTE's minimum cut lists it when it leaves the sources' residual closure. Each test checks // hand-derived values on small graphs whose EdgeIds equal their input positions (asserted). The -// graphs: S (the contract's search example, whose only shortest route crosses the zero edge): 0: +// graphs: S (the worked search example, whose only shortest route crosses the zero edge): 0: // 0 -> 1 cap 0, 1: 0 -> 2 cap 5, 2: 2 -> 1 cap 5, costs 1; // B (two sources): 0: 0 -> 2 cap 0, 1: 1 -> 2 cap 10. #include @@ -16,9 +16,10 @@ #include #include -#include "netgraph/core/dag_cache.hpp" -#include "netgraph/core/detail/kernels.hpp" -#include "netgraph/core/detail/pred_dag_builder.hpp" +#include "netgraph/core/detail/search_detail.hpp" +#include "netgraph/core/shortest_path_cache.hpp" +#include "netgraph/core/detail/route_kernels.hpp" +#include "netgraph/core/detail/route_builders.hpp" #include "netgraph/core/evaluators.hpp" #include "netgraph/core/flow_ledger.hpp" #include "netgraph/core/flow_policy.hpp" @@ -33,35 +34,43 @@ namespace { // A graph whose rows are already in EdgeId order (source, cost, destination, input). std::shared_ptr ordered(std::int32_t n, const std::vector& rows) { auto g = shared(make_graph(n, rows)); - for (std::size_t i = 0; i < rows.size(); ++i) EXPECT_EQ(g->input_index()[i], static_cast(i)); + for (std::size_t i = 0; i < rows.size(); ++i) EXPECT_EQ(g->input_positions()[i], static_cast(i)); return g; } std::shared_ptr graph_s() { return ordered(3, {{0, 1, 0, 1}, {0, 2, 5, 1}, {2, 1, 5, 1}}); } std::shared_ptr graph_b(Amount c0, Amount c1) { return ordered(3, {{0, 2, c0, 1}, {1, 2, c1, 1}}); } -PathSelection sel(EdgeTieBreak t = EdgeTieBreak::Deterministic, EdgePriority p = EdgePriority::Capacity, - bool multipath = true, bool multi_edge = true) { - return PathSelection(t, p, multipath, multi_edge); +detail::RouteChoice sel(RouteTieBreak t = RouteTieBreak::FewerHops, bool multipath = true, bool parallel_edges = true) { + return detail::RouteChoice {t, multipath, parallel_edges}; } -// A configuration; Global takes neither a placement nor a selection, so `k` and `s` are left out. -FlowPolicyConfig cfg(Routing r, FlowPlacement k, Admission a = Admission::Lossless, PathSelection s = sel()) { - if (std::holds_alternative(r)) return FlowPolicyConfig {.routing = std::move(r), .admission = a}; - return FlowPolicyConfig {std::move(r), k, a, s}; +// A configuration: ShortestPaths takes the allocation `k` and the route choice `s`; the other models +// take neither. +FlowPolicyConfig cfg(Routing r, RouteAllocation k, Admission a = Admission::Lossless, detail::RouteChoice s = sel()) { + if (auto* sp = std::get_if(&r)) { + sp->allocation = k; + sp->tie_break = s.tie_break; + sp->multipath = s.multipath; + sp->parallel_edges = s.parallel_edges; + } + return FlowPolicyConfig {std::move(r), a}; } SpfResult search(const Graph& g, std::vector roots, Direction d, std::optional> targets, - const PathSelection& s = sel(), const std::vector* residual = nullptr, + const detail::RouteChoice& s = sel(), const std::vector* residual = nullptr, const Eligibility* elig = nullptr) { - SpfOptions o(d, s); + SpfOptions o(d); + o.tie_break = s.tie_break; + o.multipath = s.multipath; + o.parallel_edges = s.parallel_edges; o.targets = std::move(targets); if (residual != nullptr) o.residual = std::span(*residual); - o.elig = elig; + o.eligibility = elig; return spf(g, roots, o); } -std::vector dag_edges(const PredDAG& dag) { return ascending_edges(dag); } +std::vector dag_edges(const PredecessorDAG& dag) { return ascending_edges(dag); } std::vector> walks(const std::vector>& r) { std::vector> out; @@ -93,7 +102,7 @@ Placed place_once(const std::shared_ptr& g, std::vector s, // T1 with N tunnels per head: one replace(offer, design) on a fresh ledger of g. FlowPolicyConfig t1(std::int64_t n, Admission a = Admission::Lossless, std::optional ceiling = std::nullopt) { - return FlowPolicyConfig {.routing = CapacityAware {Tunnels {n}, ceiling}, .admission = a}; + return FlowPolicyConfig {.routing = DistributedTE {TunnelCount {n}, ceiling}, .admission = a}; } Placed replace_once(const std::shared_ptr& g, std::vector s, std::vector d, const FlowPolicyConfig& c, Amount offer, Amount design) { @@ -107,7 +116,7 @@ Placed replace_once(const std::shared_ptr& g, std::vector s std::vector> entries(const SensitivityResult& s) { std::vector> out; - for (const auto& e : s.entries) out.emplace_back(e.edge, e.loss); + for (const auto& e : s.entries) out.emplace_back(e.edge, e.delivery_reduction); return out; } @@ -129,8 +138,7 @@ TEST(ZeroCapacity, SpfSearchesTheZeroEdgeAndOnlyAResidualFiltersIt) { const auto rev = search(*g, {1}, Direction::Reverse, std::nullopt); EXPECT_EQ(*rev.costs, (std::vector{1, 0, 1})); EXPECT_EQ(dag_edges(rev.dag), (std::vector{0, 2})); - const auto single = search(*g, {0}, Direction::Forward, std::vector {1}, sel(EdgeTieBreak::Deterministic, - EdgePriority::Capacity, false)); + const auto single = search(*g, {0}, Direction::Forward, std::vector {1}, sel(RouteTieBreak::FewerHops, false)); EXPECT_EQ(single.target_cost, 1); EXPECT_EQ(dag_edges(single.dag), (std::vector{0})); const auto mask = g->eligibility({}, std::vector {0}); @@ -139,50 +147,51 @@ TEST(ZeroCapacity, SpfSearchesTheZeroEdgeAndOnlyAResidualFiltersIt) { EXPECT_EQ(dag_edges(masked.dag), (std::vector{1, 2})); } -// KSP over the zero edge, with and without a residual (the Stretch case is in ksp_tests.cpp). +// KSP over the zero edge, with and without a residual (the CostStretch case is in ksp_tests.cpp). TEST(ZeroCapacity, KspListsTheZeroEdgeWalk) { const auto g = graph_s(); - auto r = ksp(*g, 0, 1, KspOptions(2, sel())); + auto r = ksp(*g, 0, 1, KspOptions(2)); EXPECT_EQ(walks(r), (std::vector>{{0}, {1, 2}})); EXPECT_EQ(r[0].first, 1); EXPECT_EQ(r[1].first, 2); const std::vector res = {0, 5, 5}; - KspOptions o(2, sel()); + KspOptions o(2); o.residual = std::span(res); EXPECT_EQ(walks(ksp(*g, 0, 1, o)), (std::vector>{{1, 2}})); } -// The parallel-member rule and the priorities without a residual. +// The parallel-member rule and the tie scores without a residual. TEST(ZeroCapacity, CollapseAndPrioritiesWithoutAResidual) { const auto pair = ordered(2, {{0, 1, 0, 1}, {0, 1, 3, 1}}); - auto collapse = [&](EdgeTieBreak t, EdgePriority p) { - return dag_edges(search(*pair, {0}, Direction::Forward, std::vector {1}, sel(t, p, true, false)).dag); + auto collapse = [&](RouteTieBreak t) { + return dag_edges(search(*pair, {0}, Direction::Forward, std::vector {1}, sel(t, true, false)).dag); }; - EXPECT_EQ(collapse(EdgeTieBreak::Deterministic, EdgePriority::Capacity), (std::vector{0})); - EXPECT_EQ(collapse(EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity), (std::vector{1})); - EXPECT_EQ(collapse(EdgeTieBreak::PreferHigherPriority, EdgePriority::Headroom), (std::vector{1})); - EXPECT_EQ(collapse(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual), (std::vector{1})); - // On positive capacities 1 and 5, Headroom reads 1 everywhere (EdgeId order - // decides); Capacity and Residual read the capacities. + EXPECT_EQ(collapse(RouteTieBreak::FewerHops), (std::vector{0})); + EXPECT_EQ(collapse(RouteTieBreak::HigherCapacity), (std::vector{1})); + EXPECT_EQ(collapse(RouteTieBreak::HigherHeadroom), (std::vector{1})); + EXPECT_EQ(collapse(RouteTieBreak::HigherAvailableCapacity), (std::vector{1})); + // On positive capacities 1 and 5, HIGHER_HEADROOM reads 1 everywhere (EdgeId order decides); + // HIGHER_CAPACITY and HIGHER_AVAILABLE_CAPACITY read the capacities. const auto d = ordered(4, {{0, 1, 1, 1}, {0, 2, 5, 1}, {1, 3, 1, 1}, {2, 3, 5, 1}}); - auto path = [&](const std::shared_ptr& h, EdgeTieBreak t, EdgePriority p) { - return dag_edges(search(*h, {0}, Direction::Forward, std::vector {3}, sel(t, p, false)).dag); + auto path = [&](const std::shared_ptr& h, RouteTieBreak t) { + return dag_edges(search(*h, {0}, Direction::Forward, std::vector {3}, sel(t, false)).dag); }; - EXPECT_EQ(path(d, EdgeTieBreak::PreferHigherPriority, EdgePriority::Headroom), (std::vector{0, 2})); - EXPECT_EQ(path(d, EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity), (std::vector{1, 3})); - EXPECT_EQ(path(d, EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual), (std::vector{1, 3})); - // Headroom 0 on the zero-capacity edge, 1 elsewhere. + EXPECT_EQ(path(d, RouteTieBreak::HigherHeadroom), (std::vector{0, 2})); + EXPECT_EQ(path(d, RouteTieBreak::HigherCapacity), (std::vector{1, 3})); + EXPECT_EQ(path(d, RouteTieBreak::HigherAvailableCapacity), (std::vector{1, 3})); + // HIGHER_HEADROOM: 0 on the zero-capacity edge, 1 elsewhere. const auto z = ordered(4, {{0, 1, 0, 1}, {0, 2, 5, 1}, {1, 3, 5, 1}, {2, 3, 5, 1}}); - EXPECT_EQ(path(z, EdgeTieBreak::PreferHigherPriority, EdgePriority::Headroom), (std::vector{1, 3})); - EXPECT_EQ(path(z, EdgeTieBreak::Deterministic, EdgePriority::Headroom), (std::vector{0, 2})); - KspOptions o(2, sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Headroom)); + EXPECT_EQ(path(z, RouteTieBreak::HigherHeadroom), (std::vector{1, 3})); + EXPECT_EQ(path(z, RouteTieBreak::FewerHops), (std::vector{0, 2})); + KspOptions o(2); + o.tie_break = RouteTieBreak::HigherHeadroom; EXPECT_EQ(walks(ksp(*z, 0, 3, o)), (std::vector>{{1, 3}, {0, 2}})); } // The cached support is capacity-blind, and a policy reading it places 0 on S. TEST(ZeroCapacity, DagCacheValuesAndTheirConsumers) { const auto g = graph_s(); - DagCache cache(*g); + ShortestPathCache cache(*g); const auto v1 = cache.lookup(*g, v({1}), Direction::Reverse, nullptr); EXPECT_EQ(dag_edges(*v1), (std::vector{0, 2})); EXPECT_EQ(cache.stats().misses, 1); @@ -190,55 +199,55 @@ TEST(ZeroCapacity, DagCacheValuesAndTheirConsumers) { EXPECT_EQ(cache.stats().hits, 1); FlowLedger fg(g); FlowPolicy p(fg, v({0}), v({1}), cost_only_config(), nullptr, &cache); - EXPECT_EQ(p.place(5).placed, 0); + EXPECT_EQ(p.place(5).call_delivered, 0); cache.freeze(); - EXPECT_EQ(capacity(*g, v({0}), v({1}), QueryOptions {cost_only_config(), nullptr, &cache}).placed, 0); + EXPECT_EQ(evaluate_demand(*g, v({0}), v({1}), EvaluationOptions {cost_only_config(), nullptr, &cache}).call_delivered, 0); } // S under every model: its only shortest route crosses the zero edge. TEST(ZeroCapacity, G8ForEveryModel) { const auto g = graph_s(); const auto eb = place_once(g, {0}, {1}, cost_only_config(), 5); - EXPECT_EQ(eb.r.placed, 0); - EXPECT_EQ(eb.r.remaining, 5); + EXPECT_EQ(eb.r.call_delivered, 0); + EXPECT_EQ(eb.r.call_undelivered, 5); EXPECT_EQ(eb.r.termination, Termination::Exhausted); EXPECT_TRUE(eb.r.routes_changed); ASSERT_EQ(eb.records.size(), 1U); EXPECT_EQ(eb.records[0].delivered, 0); - EXPECT_EQ(dag_edges(*eb.records[0].bundle), (std::vector{0})); - EXPECT_EQ(eb.records[0].route_cost, 1); - EXPECT_TRUE(eb.records[0].edges.empty()); - const auto lossy = place_once(g, {0}, {1}, cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy), 5); - EXPECT_EQ(lossy.r.placed, 0); - EXPECT_EQ(lossy.r.call_drops, (Drops {{0, 5}})); + EXPECT_EQ(dag_edges(*eb.records[0].route), (std::vector{0})); + EXPECT_EQ(eb.records[0].min_route_cost, 1); + EXPECT_TRUE(eb.records[0].edge_flows.empty()); + const auto lossy = place_once(g, {0}, {1}, cfg(ShortestPaths {}, RouteAllocation::Equal, Admission::Lossy), 5); + EXPECT_EQ(lossy.r.call_delivered, 0); + EXPECT_EQ(lossy.r.call_edge_drops, (Drops {{0, 5}})); EXPECT_EQ(lossy.r.termination, Termination::Complete); ASSERT_EQ(lossy.records.size(), 1U); EXPECT_EQ(lossy.records[0].offered, (Counter128 {0, 5})); EXPECT_EQ(lossy.records[0].delivered, 0); - EXPECT_EQ(lossy.records[0].drops, (std::vector> {{0, Counter128 {0, 5}}})); + EXPECT_EQ(lossy.records[0].edge_drops, (std::vector> {{0, Counter128 {0, 5}}})); for (const auto a : {Admission::Lossless, Admission::Lossy}) { - const auto w = place_once(g, {0}, {1}, cfg(CostOnly {}, FlowPlacement::Weighted, a), 5); - EXPECT_EQ(w.r.placed, 0); - EXPECT_TRUE(w.r.call_drops.empty()); // no member: the offer is lost at the source, never bypassed - EXPECT_EQ(w.r.call_source_loss, a == Admission::Lossy ? 5 : 0); + const auto w = place_once(g, {0}, {1}, cfg(ShortestPaths {}, RouteAllocation::Weighted, a), 5); + EXPECT_EQ(w.r.call_delivered, 0); + EXPECT_TRUE(w.r.call_edge_drops.empty()); // no member: the offer is lost at the source, never bypassed + EXPECT_EQ(w.r.call_source_drops, a == Admission::Lossy ? 5 : 0); EXPECT_EQ(w.r.termination, Termination::NoActiveWeight); ASSERT_EQ(w.records.size(), 1U); - EXPECT_EQ(dag_edges(*w.records[0].bundle), (std::vector{0})); - EXPECT_EQ(w.records[0].route_cost, 1); - EXPECT_TRUE(w.records[0].edges.empty()); + EXPECT_EQ(dag_edges(*w.records[0].route), (std::vector{0})); + EXPECT_EQ(w.records[0].min_route_cost, 1); + EXPECT_TRUE(w.records[0].edge_flows.empty()); if (a == Admission::Lossy) EXPECT_EQ(w.records[0].offered, (Counter128 {0, 5})); } - const auto mf = place_once(g, {0}, {1}, cfg(CostOnly {}, FlowPlacement::MaxFlow), 5); - EXPECT_EQ(mf.r.placed, 0); + const auto mf = place_once(g, {0}, {1}, cfg(ShortestPaths {}, RouteAllocation::Optimized), 5); + EXPECT_EQ(mf.r.call_delivered, 0); EXPECT_EQ(mf.r.termination, Termination::Exhausted); const auto single = - place_once(g, {0}, {1}, cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, - sel(EdgeTieBreak::Deterministic, EdgePriority::Capacity, false)), 5); - EXPECT_EQ(single.r.placed, 0); - EXPECT_EQ(place_once(g, {0}, {1}, global_config(), 5).r.placed, 5); - // T1: the request of 5 filters the zero link out (6.4): the tunnel comes up over 0 -> 2 -> 1. + place_once(g, {0}, {1}, cfg(ShortestPaths {}, RouteAllocation::Equal, Admission::Lossless, + sel(RouteTieBreak::FewerHops, false)), 5); + EXPECT_EQ(single.r.call_delivered, 0); + EXPECT_EQ(place_once(g, {0}, {1}, global_config(), 5).r.call_delivered, 5); + // T1: the request of 5 filters the zero link out: the tunnel comes up over 0 -> 2 -> 1. const auto tunnel = replace_once(g, {0}, {1}, t1(1), 5, 5); - EXPECT_EQ(tunnel.r.placed, 5); + EXPECT_EQ(tunnel.r.call_delivered, 5); ASSERT_EQ(tunnel.r.program->tunnels().size(), 1U); EXPECT_EQ(tunnel.r.program->tunnels()[0].edges, (std::optional> {{1, 2}})); } @@ -251,179 +260,180 @@ TEST(ZeroCapacity, EqualSplitsKeepTheZeroMemberWeightedSplitsPruneIt) { Amount weighted, maxflow; }; auto check = [](const std::shared_ptr& g, NodeId dst, const Want& w, const std::string& where) { - EXPECT_EQ(place_once(g, {0}, {dst}, cost_only_config(), 10).r.placed, w.eb_lossless) << where; - const auto lossy = place_once(g, {0}, {dst}, cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy), 10); - EXPECT_EQ(lossy.r.placed, w.eb_lossy) << where; - EXPECT_EQ(lossy.r.call_drops, w.drops) << where; + EXPECT_EQ(place_once(g, {0}, {dst}, cost_only_config(), 10).r.call_delivered, w.eb_lossless) << where; + const auto lossy = place_once(g, {0}, {dst}, cfg(ShortestPaths {}, RouteAllocation::Equal, Admission::Lossy), 10); + EXPECT_EQ(lossy.r.call_delivered, w.eb_lossy) << where; + EXPECT_EQ(lossy.r.call_edge_drops, w.drops) << where; for (const auto a : {Admission::Lossless, Admission::Lossy}) { - const auto wt = place_once(g, {0}, {dst}, cfg(CostOnly {}, FlowPlacement::Weighted, a), 10); - EXPECT_EQ(wt.r.placed, w.weighted) << where; - EXPECT_TRUE(wt.r.call_drops.empty()) << where; + const auto wt = place_once(g, {0}, {dst}, cfg(ShortestPaths {}, RouteAllocation::Weighted, a), 10); + EXPECT_EQ(wt.r.call_delivered, w.weighted) << where; + EXPECT_TRUE(wt.r.call_edge_drops.empty()) << where; } - EXPECT_EQ(place_once(g, {0}, {dst}, cfg(CostOnly {}, FlowPlacement::MaxFlow), 10).r.placed, w.maxflow) << where; + EXPECT_EQ(place_once(g, {0}, {dst}, cfg(ShortestPaths {}, RouteAllocation::Optimized), 10).r.call_delivered, w.maxflow) << where; }; const auto first = ordered(2, {{0, 1, 0, 1}, {0, 1, 10, 1}}); check(first, 1, {0, 5, {{0, 5}}, 10, 10}, "zero first"); check(ordered(2, {{0, 1, 10, 1}, {0, 1, 0, 1}}), 1, {1, 5, {{1, 5}}, 10, 10}, "zero last"); const auto deep = ordered(4, {{0, 1, 10, 1}, {0, 2, 10, 1}, {1, 3, 10, 1}, {2, 3, 0, 1}}); check(deep, 3, {1, 5, {{3, 5}}, 10, 10}, "zero deeper"); - const auto w = place_once(deep, {0}, {3}, cfg(CostOnly {}, FlowPlacement::Weighted), 10); + const auto w = place_once(deep, {0}, {3}, cfg(ShortestPaths {}, RouteAllocation::Weighted), 10); ASSERT_EQ(w.records.size(), 1U); - EXPECT_EQ(w.records[0].edges, (std::vector> {{0, 10}, {2, 10}})); - // One member per pair; Headroom reads the working residual, 0/0 on the zero link being 0 + EXPECT_EQ(w.records[0].edge_flows, (std::vector> {{0, 10}, {2, 10}})); + // One member per pair; HIGHER_HEADROOM reads the working residual, 0/0 on the zero link being 0 // (were it compared equal to every value, the lower EdgeId 0 would stay). - auto collapsed = [&](EdgeTieBreak t, EdgePriority p) { + auto collapsed = [&](RouteTieBreak t) { return place_once(first, {0}, {1}, - cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, sel(t, p, true, false)), 10) - .r.placed; + cfg(ShortestPaths {}, RouteAllocation::Equal, Admission::Lossless, sel(t, true, false)), 10) + .r.call_delivered; }; - EXPECT_EQ(collapsed(EdgeTieBreak::Deterministic, EdgePriority::Capacity), 0); - EXPECT_EQ(collapsed(EdgeTieBreak::PreferHigherPriority, EdgePriority::Capacity), 10); - EXPECT_EQ(collapsed(EdgeTieBreak::PreferHigherPriority, EdgePriority::Headroom), 10); - EXPECT_EQ(collapsed(EdgeTieBreak::PreferHigherPriority, EdgePriority::Residual), 10); + EXPECT_EQ(collapsed(RouteTieBreak::FewerHops), 0); + EXPECT_EQ(collapsed(RouteTieBreak::HigherCapacity), 10); + EXPECT_EQ(collapsed(RouteTieBreak::HigherHeadroom), 10); + EXPECT_EQ(collapsed(RouteTieBreak::HigherAvailableCapacity), 10); const auto head = place_once(first, {0}, {1}, - cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossless, - sel(EdgeTieBreak::PreferHigherPriority, EdgePriority::Headroom, false)), 10); - EXPECT_EQ(head.r.placed, 10); // the canonical single path by bottleneck: Headroom 1 over 0 + cfg(ShortestPaths {}, RouteAllocation::Equal, Admission::Lossless, + sel(RouteTieBreak::HigherHeadroom, false)), 10); + EXPECT_EQ(head.r.call_delivered, 10); // the canonical single path by bottleneck: HIGHER_HEADROOM 1 over 0 } // The first-hop experiment, a stale WCMP member of capacity 0, all weights zero and a link of // service 0. TEST(ZeroCapacity, LossyInjectionAndAllZeroWeights) { - const auto lossy_eb = cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy); + const auto lossy_eb = cfg(ShortestPaths {}, RouteAllocation::Equal, Admission::Lossy); const auto first = ordered(2, {{0, 1, 0, 1}, {0, 1, 10, 1}}); - EXPECT_EQ(capacity(*first, v({0}), v({1}), QueryOptions {lossy_eb}).placed, 10); - const auto s = capacity(*graph_s(), v({0}), v({1}), QueryOptions {lossy_eb}); - EXPECT_EQ(s.placed, 0); + EXPECT_EQ(evaluate_demand(*first, v({0}), v({1}), EvaluationOptions {lossy_eb}).call_delivered, 10); + const auto s = evaluate_demand(*graph_s(), v({0}), v({1}), EvaluationOptions {lossy_eb}); + EXPECT_EQ(s.call_delivered, 0); EXPECT_EQ(s.termination, Termination::Exhausted); const auto wcmp = ordered(2, {{0, 1, 0, 1}, {0, 1, 40, 1}}); for (const auto a : {Admission::Lossless, Admission::Lossy}) { - EXPECT_EQ(place_once(wcmp, {0}, {1}, cfg(CostOnly {}, FlowPlacement::Weighted, a), 40).r.placed, 40); + EXPECT_EQ(place_once(wcmp, {0}, {1}, cfg(ShortestPaths {}, RouteAllocation::Weighted, a), 40).r.call_delivered, 40); } const auto one = ordered(2, {{0, 1, 0, 1}}); - const auto w = place_once(one, {0}, {1}, cfg(CostOnly {}, FlowPlacement::Weighted, Admission::Lossy), 2); - EXPECT_EQ(w.r.placed, 0); - EXPECT_EQ(w.r.remaining, 2); - EXPECT_TRUE(w.r.call_drops.empty()); - EXPECT_EQ(w.r.call_source_loss, 2); + const auto w = place_once(one, {0}, {1}, cfg(ShortestPaths {}, RouteAllocation::Weighted, Admission::Lossy), 2); + EXPECT_EQ(w.r.call_delivered, 0); + EXPECT_EQ(w.r.call_undelivered, 2); + EXPECT_TRUE(w.r.call_edge_drops.empty()); + EXPECT_EQ(w.r.call_source_drops, 2); EXPECT_EQ(w.r.termination, Termination::NoActiveWeight); ASSERT_EQ(w.records.size(), 1U); EXPECT_EQ(w.records[0].offered, (Counter128 {0, 2})); // 2 offered, 0 delivered, no drop: lost at the source EXPECT_EQ(w.records[0].delivered, 0); const auto d = place_once(one, {0}, {1}, lossy_eb, 2); - EXPECT_EQ(d.r.placed, 0); - EXPECT_EQ(d.r.call_drops, (Drops {{0, 2}})); + EXPECT_EQ(d.r.call_delivered, 0); + EXPECT_EQ(d.r.call_edge_drops, (Drops {{0, 2}})); EXPECT_EQ(d.r.termination, Termination::Complete); } -// A zero-capacity first or second source, and its deletion, under the equal origin: a +// A zero-capacity first or second source, and its deletion, under the equal source allocation: a // source behind a zero-capacity link stays in the roster and receives its share, which Lossless // admits only when it is 0 (0 when it is the first source, 1 when the second) and Lossy loses. TEST(ZeroCapacity, ZeroCapacitySourcesStayInTheRoster) { const auto b = graph_b(0, 10); const auto ll = place_once(b, {0, 1}, {2}, cost_only_config(), 10); - EXPECT_EQ(ll.r.placed, 0); + EXPECT_EQ(ll.r.call_delivered, 0); EXPECT_EQ(ll.r.termination, Termination::Exhausted); ASSERT_EQ(ll.records.size(), 2U); EXPECT_EQ(ll.records[0].sources, v({0})); EXPECT_EQ(ll.records[0].delivered, 0); - EXPECT_EQ(dag_edges(*ll.records[0].bundle), (std::vector{0})); + EXPECT_EQ(dag_edges(*ll.records[0].route), (std::vector{0})); EXPECT_EQ(ll.records[1].delivered, 0); - const auto lossy_eb = cfg(CostOnly {}, FlowPlacement::EqualBalanced, Admission::Lossy); + const auto lossy_eb = cfg(ShortestPaths {}, RouteAllocation::Equal, Admission::Lossy); const auto ly = place_once(b, {0, 1}, {2}, lossy_eb, 10); - EXPECT_EQ(ly.r.placed, 5); - EXPECT_EQ(ly.r.call_drops, (Drops {{0, 5}})); + EXPECT_EQ(ly.r.call_delivered, 5); + EXPECT_EQ(ly.r.call_edge_drops, (Drops {{0, 5}})); EXPECT_EQ(ly.r.termination, Termination::Complete); const auto bp = graph_b(10, 0); const auto pl = place_once(bp, {0, 1}, {2}, cost_only_config(), 10); - EXPECT_EQ(pl.r.placed, 1); + EXPECT_EQ(pl.r.call_delivered, 1); const auto py = place_once(bp, {0, 1}, {2}, lossy_eb, 10); - EXPECT_EQ(py.r.placed, 5); - EXPECT_EQ(py.r.call_drops, (Drops {{1, 5}})); + EXPECT_EQ(py.r.call_delivered, 5); + EXPECT_EQ(py.r.call_edge_drops, (Drops {{1, 5}})); // The source or its link excluded: the roster is [1]. const auto no_node = b->eligibility(std::vector {0}, {}); const auto no_link = b->eligibility({}, std::vector {0}); for (const Eligibility* el : {&no_node, &no_link}) { - EXPECT_EQ(place_once(b, {0, 1}, {2}, cost_only_config(), 10, el).r.placed, 10); - EXPECT_EQ(place_once(b, {0, 1}, {2}, global_config(), 10, el).r.placed, 10); + EXPECT_EQ(place_once(b, {0, 1}, {2}, cost_only_config(), 10, el).r.call_delivered, 10); + EXPECT_EQ(place_once(b, {0, 1}, {2}, global_config(), 10, el).r.call_delivered, 10); } - // Global keeps a zero-delivery record of source 0 with an empty bundle. + // CentralizedTE keeps a zero-delivery record of source 0 with an empty route. const auto gl = place_once(b, {0, 1}, {2}, global_config(), 10); - EXPECT_EQ(gl.r.placed, 10); + EXPECT_EQ(gl.r.call_delivered, 10); EXPECT_EQ(gl.r.termination, Termination::Complete); ASSERT_EQ(gl.records.size(), 2U); EXPECT_EQ(gl.records[0].delivered, 0); - EXPECT_TRUE(dag_edges(*gl.records[0].bundle).empty()); - EXPECT_EQ(gl.records[0].route_cost, kUnreachable); + EXPECT_TRUE(dag_edges(*gl.records[0].route).empty()); + EXPECT_EQ(gl.records[0].min_route_cost, kUnreachable); // T1 (one tunnel per head, design 10: requests 5 and 5): head 0's link has no unreserved // capacity, so its tunnel is down (NoBandwidth) and the head stays in the roster with its share - // (3.4): Lossless admits only totals that give it nothing, 0 as it is the first head; Lossy + //: Lossless admits only totals that give it nothing, 0 as it is the first head; Lossy // delivers head 1's 5 and loses head 0's 5 at the head. One record per entry, the down one too. const auto ll_t1 = replace_once(b, {0, 1}, {2}, t1(1), 10, 10); - EXPECT_EQ(ll_t1.r.placed, 0); + EXPECT_EQ(ll_t1.r.call_delivered, 0); EXPECT_EQ(ll_t1.r.termination, Termination::Exhausted); ASSERT_EQ(ll_t1.records.size(), 2U); - EXPECT_EQ(ll_t1.records[0].entry, std::optional {0}); - EXPECT_EQ(ll_t1.r.by_tunnel[0].status, TunnelStatus::NoBandwidth); + EXPECT_EQ(ll_t1.records[0].entry_id, std::optional {0}); + EXPECT_EQ(ll_t1.r.by_tunnel[0].status, TunnelStatus::InsufficientBandwidth); const auto ly_t1 = replace_once(b, {0, 1}, {2}, t1(1, Admission::Lossy), 10, 10); - EXPECT_EQ(ly_t1.r.placed, 5); - EXPECT_EQ(ly_t1.r.call_source_loss, 5); + EXPECT_EQ(ly_t1.r.call_delivered, 5); + EXPECT_EQ(ly_t1.r.call_source_drops, 5); EXPECT_EQ(ly_t1.r.termination, Termination::Complete); } -// T1's setup on X8 and the pool baseline of Stretch(1.2) (6.4). +// T1's setup on X8 and the pool baseline of CostStretch(6/5), exact at equality. TEST(ZeroCapacity, T1RosterAndStretchBaseline) { // X8: D = 4, N = 1: head 0's link has capacity 0 (NoBandwidth), head 1's is up; Lossy delivers // head 1's 2 and loses head 0's 2. const auto x8 = ordered(3, {{0, 2, 0, 1}, {1, 2, 8, 3}}); const auto r = replace_once(x8, {0, 1}, {2}, t1(1, Admission::Lossy), 4, 4); - EXPECT_EQ(r.r.placed, 2); - EXPECT_EQ(r.r.call_source_loss, 2); - EXPECT_EQ(r.r.by_tunnel[0].status, TunnelStatus::NoBandwidth); + EXPECT_EQ(r.r.call_delivered, 2); + EXPECT_EQ(r.r.call_source_drops, 2); + EXPECT_EQ(r.r.by_tunnel[0].status, TunnelStatus::InsufficientBandwidth); EXPECT_EQ(r.r.by_tunnel[1].status, TunnelStatus::Up); - // Stretch(1.2): c0 = 5 (the zero-capacity link counts); the stored 1.2 times 5 is just - // below 6, so the only feasible path (cost 6) exceeds the ceiling: CostCeiling, nothing - // delivered; a factor just above 1.2 admits it. - const auto h = ordered(2, {{0, 1, 0, 5}, {0, 1, 1, 6}}); - const auto stretched = [&](double f) { return replace_once(h, {0}, {1}, t1(1, Admission::Lossy, Stretch {f}), 1, 1); }; - const auto exact = stretched(1.2); - EXPECT_EQ(exact.r.placed, 0); - EXPECT_EQ(exact.r.by_tunnel[0].status, TunnelStatus::CostCeiling); - EXPECT_EQ(exact.r.termination, Termination::Complete); // every tunnel down: not rule (3) - EXPECT_EQ(exact.records.size(), 1U); - EXPECT_EQ(stretched(1.2 + 1e-9).r.placed, 1); + // CostStretch(6/5): c0 = 5 (the zero-capacity link counts) and 6 * 5 <= 6 * 5 exactly, so the + // only feasible path (cost 6) is admitted at equality: up, 1 delivered. At cost 7 it exceeds the + // ceiling: CostCeilingExceeded, nothing delivered, the share lost at the source. + for (const Cost cost : {Cost {6}, Cost {7}}) { + const auto h = ordered(2, {{0, 1, 0, 5}, {0, 1, 1, cost}}); + const auto r = replace_once(h, {0}, {1}, t1(1, Admission::Lossy, CostStretch(6, 5)), 1, 1); + EXPECT_EQ(r.r.call_delivered, cost == 6 ? 1 : 0) << cost; + EXPECT_EQ(r.r.call_source_drops, cost == 6 ? 0 : 1) << cost; + EXPECT_EQ(r.r.by_tunnel[0].status, cost == 6 ? TunnelStatus::Up : TunnelStatus::CostCeilingExceeded) << cost; + EXPECT_EQ(r.r.termination, Termination::Complete) << cost; // every tunnel down: not rule (3) + EXPECT_EQ(r.records.size(), 1U) << cost; + } } // Pinned split routes over a zero-capacity link (first or last): each -// route is its own split context, the head's share split over them by round robin. EqualBalanced +// route is its own split context, the head's share split over them by round robin. Equal // keeps the zero link as a member, so the first unit (route 0) blocks a Lossless total: 0 when the // zero route comes first, 1 when it comes last; Lossy offer 4 sends 2 down each route and loses // the zero route's 2 on its link. A Weighted route over the zero link has no member (weight 0), so -// a share it receives has no route: Lossless 0 again. Global with the two links as its support (a +// a share it receives has no route: Lossless 0 again. CentralizedTE with the two links as its support (a // controller) carries 4. TEST(ZeroCapacity, PinnedRoutesKeepTheirZeroLinks) { const auto p0 = ordered(2, {{0, 1, 0, 1}, {0, 1, 4, 1}}); const auto p1 = ordered(2, {{0, 1, 4, 1}, {0, 1, 0, 1}}); - const auto two = [&](const std::shared_ptr& g, std::optional k, + const auto two = [&](const std::shared_ptr& g, std::optional k, Admission a = Admission::Lossless) { return FlowPolicyConfig {.routing = pinned_dags(*g, 0, 1, {dag_of(*g, {0}), dag_of(*g, {1})}, k), .admission = a}; }; const auto first = place_once(p0, {0}, {1}, two(p0, std::nullopt), std::nullopt); - EXPECT_EQ(first.r.placed, 0); + EXPECT_EQ(first.r.call_delivered, 0); EXPECT_EQ(first.records.size(), 2U); - EXPECT_EQ(place_once(p1, {0}, {1}, two(p1, std::nullopt), std::nullopt).r.placed, 1); + EXPECT_EQ(place_once(p1, {0}, {1}, two(p1, std::nullopt), std::nullopt).r.call_delivered, 1); const auto lossy = place_once(p0, {0}, {1}, two(p0, std::nullopt, Admission::Lossy), 4); - EXPECT_EQ(lossy.r.placed, 2); - EXPECT_EQ(lossy.r.call_drops, (Drops {{0, 2}})); - EXPECT_EQ(place_once(p0, {0}, {1}, two(p0, FlowPlacement::Weighted), std::nullopt).r.placed, 0); - const auto weighted_lossy = place_once(p0, {0}, {1}, two(p0, FlowPlacement::Weighted, Admission::Lossy), 4); - EXPECT_EQ(weighted_lossy.r.placed, 2); - EXPECT_EQ(weighted_lossy.r.call_source_loss, 2); - EXPECT_EQ(place_once(p0, {0}, {1}, FlowPolicyConfig {.routing = Global {dag_of(*p0, {0, 1})}}, std::nullopt).r.placed, + EXPECT_EQ(lossy.r.call_delivered, 2); + EXPECT_EQ(lossy.r.call_edge_drops, (Drops {{0, 2}})); + EXPECT_EQ(place_once(p0, {0}, {1}, two(p0, RouteAllocation::Weighted), std::nullopt).r.call_delivered, 0); + const auto weighted_lossy = place_once(p0, {0}, {1}, two(p0, RouteAllocation::Weighted, Admission::Lossy), 4); + EXPECT_EQ(weighted_lossy.r.call_delivered, 2); + EXPECT_EQ(weighted_lossy.r.call_source_drops, 2); + EXPECT_EQ(place_once(p0, {0}, {1}, FlowPolicyConfig {.routing = centralized(SourceAllocation::Optimized, dag_of(*p0, {0, 1}))}, std::nullopt).r.call_delivered, 4); const auto alone = place_once(p0, {0}, {1}, FlowPolicyConfig {.routing = pinned_dags(*p0, 0, 1, {dag_of(*p0, {0})})}, 3); - EXPECT_EQ(alone.r.placed, 0); + EXPECT_EQ(alone.r.call_delivered, 0); EXPECT_EQ(alone.r.termination, Termination::Exhausted); ASSERT_EQ(alone.records.size(), 1U); EXPECT_EQ(alone.records[0].delivered, 0); @@ -437,23 +447,23 @@ TEST(ZeroCapacity, WeightedRoutePlansKeepOnlyPositiveEdges) { const auto g = ordered(4, {{0, 1, 0, 1}, {0, 1, 4, 1}, {0, 2, 3, 1}, {1, 3, 5, 1}, {2, 3, 0, 1}}); const NodeId dst[1] = {3}; auto plan = [&](std::vector edges, Cost& cost) { - return detail::make_plan(*g, FlowPlacement::Weighted, Admission::Lossless, detail::WeightSource {}, 0, dst, + return detail::prepare_route(*g, RouteAllocation::Weighted, Admission::Lossless, detail::WeightSource {}, 0, dst, *dag_of(*g, std::move(edges)), &cost); }; Cost cost = -1; const auto positive = plan({1, 3}, cost); // no zero-capacity edge: route == members - EXPECT_EQ(positive.route, (std::vector{1, 3})); - EXPECT_EQ(positive.members, (std::vector{1, 3})); + EXPECT_EQ(positive.support_edges, (std::vector{1, 3})); + EXPECT_EQ(positive.forwarding_edges, (std::vector{1, 3})); EXPECT_EQ(positive.weights, (std::vector{4, 5})); EXPECT_EQ(cost, 2); const auto mixed = plan({0, 1, 2, 3, 4}, cost); // the zero links 0 and 4 drop; so does 2 (dead end) - EXPECT_EQ(mixed.route, (std::vector{0, 1, 2, 3, 4})); - EXPECT_EQ(mixed.members, (std::vector{1, 3})); + EXPECT_EQ(mixed.support_edges, (std::vector{0, 1, 2, 3, 4})); + EXPECT_EQ(mixed.forwarding_edges, (std::vector{1, 3})); EXPECT_EQ(mixed.weights, (std::vector{4, 5})); EXPECT_EQ(cost, 2); const auto zero = plan({0, 3}, cost); // every walk crosses a zero link: no member - EXPECT_EQ(zero.route, (std::vector{0, 3})); - EXPECT_TRUE(zero.members.empty()); + EXPECT_EQ(zero.support_edges, (std::vector{0, 3})); + EXPECT_TRUE(zero.forwarding_edges.empty()); EXPECT_TRUE(zero.weights.empty()); EXPECT_EQ(cost, 2); } @@ -462,49 +472,49 @@ TEST(ZeroCapacity, WeightedRoutePlansKeepOnlyPositiveEdges) { TEST(ZeroCapacity, EvaluatorsCountZeroCapacityRoutesAndCandidates) { const auto s = graph_s(); const std::vector, std::vector>> pairs = {{{0}, {1}}, {{2}, {1}}}; - const auto batch = batch_capacity(*s, pairs, QueryOptions {cost_only_config()}, {}, 1); + const auto batch = evaluate_pairs(*s, pairs, EvaluationOptions {cost_only_config()}, {}, 1); ASSERT_EQ(batch.size(), 2U); - EXPECT_EQ(batch[0].placed, 0); - EXPECT_EQ(batch[1].placed, 5); - // CostOnly's negative loss is in flow_policy_tests.cpp; Global keeps its + EXPECT_EQ(batch[0].call_delivered, 0); + EXPECT_EQ(batch[1].call_delivered, 5); + // ShortestPaths's negative loss is in flow_policy_tests.cpp; CentralizedTE keeps its // positive-flow candidates. - EXPECT_EQ(entries(sensitivity(*s, v({0}), v({1}), QueryOptions {global_config()}, 1)), + EXPECT_EQ(entries(evaluate_edge_failures(*s, v({0}), v({1}), EvaluationOptions {global_config()}, 1)), (std::vector> {{1, 5}, {2, 5}})); const auto b = graph_b(0, 10); - // CostOnly EB under the equal origin (the zero-capacity source first): the baseline is 0; deleting the zero link + // ShortestPaths EB under the equal source allocation (the zero-capacity source first): the baseline is 0; deleting the zero link // takes source 0 out of the roster and raises the total to 10 (loss -10); deleting link 1 leaves // source 0 alone (0). - const auto eb = sensitivity(*b, v({0, 1}), v({2}), QueryOptions {cost_only_config()}, 1); - EXPECT_EQ(eb.baseline.placed, 0); + const auto eb = evaluate_edge_failures(*b, v({0, 1}), v({2}), EvaluationOptions {cost_only_config()}, 1); + EXPECT_EQ(eb.baseline.call_delivered, 0); EXPECT_EQ(entries(eb), (std::vector> {{0, -10}, {1, 0}})); // T1 with the design 10 (X8's shape): head 0 is down and first, so the // baseline admits 0; deleting the zero link takes head 0 out of the roster and head 1's one // tunnel carries 10 (loss -10); deleting link 1 leaves head 0 alone, down (0). - QueryOptions tq {t1(1)}; + EvaluationOptions tq {t1(1)}; tq.design_demand = Amount {10}; - const auto ca = sensitivity(*b, v({0, 1}), v({2}), tq, 2); - EXPECT_EQ(ca.baseline.placed, 0); + const auto ca = evaluate_edge_failures(*b, v({0, 1}), v({2}), tq, 2); + EXPECT_EQ(ca.baseline.call_delivered, 0); EXPECT_EQ(entries(ca), (std::vector> {{0, -10}, {1, 0}})); const auto p0 = ordered(2, {{0, 1, 0, 1}, {0, 1, 4, 1}}); const Pinned pin = pinned_dags(*p0, 0, 1, {dag_of(*p0, {0}), dag_of(*p0, {1})}); - const auto ps = sensitivity(*p0, v({0}), v({1}), QueryOptions {{.routing = pin}}, 1); - EXPECT_EQ(ps.baseline.placed, 0); + const auto ps = evaluate_edge_failures(*p0, v({0}), v({1}), EvaluationOptions {{.routing = pin}}, 1); + EXPECT_EQ(ps.baseline.call_delivered, 0); EXPECT_EQ(entries(ps), (std::vector> {{0, -4}, {1, 0}})); } -// Global's minimum cut lists the zero-capacity link leaving the closure (value unchanged); +// CentralizedTE's minimum cut lists the zero-capacity link leaving the closure (value unchanged); // an excluded link is never listed. TEST(ZeroCapacity, GlobalMinCutListsZeroCapacityLinksLeavingTheClosure) { const OutputOptions want {false, false, true, true}; const auto b = graph_b(0, 10); - const auto rb = capacity(*b, v({0, 1}), v({2}), QueryOptions {global_config(), nullptr, nullptr, want}); - EXPECT_EQ(rb.placed, 10); + const auto rb = evaluate_demand(*b, v({0, 1}), v({2}), EvaluationOptions {global_config(), nullptr, nullptr, want}); + EXPECT_EQ(rb.call_delivered, 10); EXPECT_EQ(rb.min_cut, (std::optional> {{0, 1}})); const auto s = graph_s(); - const auto rs = capacity(*s, v({0}), v({1}), QueryOptions {global_config(), nullptr, nullptr, want}); - EXPECT_EQ(rs.placed, 5); + const auto rs = evaluate_demand(*s, v({0}), v({1}), EvaluationOptions {global_config(), nullptr, nullptr, want}); + EXPECT_EQ(rs.call_delivered, 5); EXPECT_EQ(rs.min_cut, (std::optional> {{0, 1}})); const auto no_zero = s->eligibility({}, std::vector {0}); - const auto rm = capacity(*s, v({0}), v({1}), QueryOptions {global_config(), &no_zero, nullptr, want}); + const auto rm = evaluate_demand(*s, v({0}), v({1}), EvaluationOptions {global_config(), &no_zero, nullptr, want}); EXPECT_EQ(rm.min_cut, (std::optional> {{1}})); } diff --git a/tests/py/contract_api.py b/tests/py/contract_api.py new file mode 100644 index 0000000..f8019cb --- /dev/null +++ b/tests/py/contract_api.py @@ -0,0 +1,524 @@ +"""The promised public API (its interface listing), written out: per public name, its members +and, per callable, every overload's parameters as (name, kind, default) with kind "pos", "kw", "var" +or "varkw" and the default's source text. A member the listing states in prose rather than as a +declaration (an unchanged method or field) is "declared"; a property, field or enum member is +"attribute". test_public_surface.py compares the generated stub with it.""" + +CONTRACT_API = { + "AbsoluteCost": {"__init__": [[("cost", "pos", None)]], "cost": "attribute"}, + "Admission": {"LOSSLESS": "attribute", "LOSSY": "attribute"}, + "CentralizedTE": { + "__init__": [ + [ + ("source_allocation", "kw", None), + ("support", "kw", "None"), + ("tunnel_count", "kw", "None"), + ("prefer_headroom", "kw", "False"), + ] + ], + "prefer_headroom": "attribute", + "source_allocation": "attribute", + "support": "attribute", + "tunnel_count": "attribute", + }, + "CostStretch": {"__init__": [[("factor", "pos", None)]], "factor": "attribute"}, + "Direction": {"FORWARD": "declared", "REVERSE": "declared"}, + "DistributedTE": { + "__init__": [ + [ + ("tunnel_count", "pos", None), + ("cost_ceiling", "kw", "None"), + ("min_unreserved_bandwidth", "kw", "0"), + ("tie_break", "kw", "RouteTieBreak.FEWER_HOPS"), + ("parallel_edges", "kw", "True"), + ] + ], + "cost_ceiling": "attribute", + "min_unreserved_bandwidth": "attribute", + "parallel_edges": "attribute", + "tie_break": "attribute", + "tunnel_count": "attribute", + }, + "Eligibility": { + "edge_allowed": "declared", + "graph_uid": "declared", + "intersect": "declared", + "node_allowed": "declared", + "uid": "declared", + }, + "EvaluationOptions": { + "__init__": [ + [ + ("config", "pos", None), + ("eligibility", "kw", "None"), + ("cache", "kw", "None"), + ("outputs", "kw", "None"), + ("design_demand", "kw", "None"), + ("offer", "kw", "None"), + ] + ], + "cache": "attribute", + "config": "attribute", + "design_demand": "attribute", + "eligibility": "attribute", + "offer": "attribute", + "outputs": "attribute", + }, + "FlowLedger": { + "__init__": [ + [ + ("graph", "pos", None), + ("service_baseline", "pos", "None"), + ("reservation_baseline", "kw", "None"), + ] + ], + "carried": [[]], + "copy": "declared", + "edge_capacity_units": [[]], + "graph": "declared", + "record": "declared", + "records": "declared", + "reserved": [[]], + "reset": [ + [ + ("service_baseline", "pos", "None"), + ("reservation_baseline", "kw", "None"), + ] + ], + "residual": "declared", + "saturated_boundary_edges": [ + [("sources", "pos", None), ("eligibility", "pos", "None")] + ], + "uid": "declared", + "unreserved": [[]], + }, + "FlowPolicy": { + "__init__": [ + [ + ("ledger", "pos", None), + ("sources", "pos", None), + ("destinations", "pos", None), + ("config", "pos", None), + ("eligibility", "pos", "None"), + ("cache", "pos", "None"), + ] + ], + "config": "attribute", + "delivered": [[]], + "evaluate": [ + [ + ("offer", "pos", None), + ("design_demand", "kw", "None"), + ("outputs", "kw", "None"), + ] + ], + "forward": [ + [ + ("offer", "pos", None), + ("black_holes", "kw", "None"), + ("outputs", "kw", "None"), + ] + ], + "place": [[("offer", "pos", None), ("outputs", "pos", "None")]], + "program": "attribute", + "record": [[("flow_id", "pos", None)]], + "records": [[]], + "remove": [[]], + "replace": [ + [ + ("offer", "pos", None), + ("design_demand", "kw", "None"), + ("outputs", "kw", "None"), + ] + ], + }, + "FlowPolicyConfig": { + "__init__": [ + [("routing", "kw", None), ("admission", "kw", "Admission.LOSSLESS")] + ], + "admission": "attribute", + "routing": "attribute", + }, + "FlowRecord": { + "__init__": [[("_no_public_constructor", "pos", None)]], + "admission": "attribute", + "delivered": "attribute", + "destinations": "attribute", + "edge_drops": "attribute", + "edge_flows": "attribute", + "edge_reservations": "attribute", + "entry_id": "attribute", + "flow_id": "attribute", + "min_route_cost": "attribute", + "offered": "attribute", + "policy_id": "attribute", + "route": "attribute", + "sources": "attribute", + }, + "ForwardingProgram": { + "__init__": [[("_no_public_constructor", "pos", None)]], + "destinations": "attribute", + "from_dag": [ + [ + ("graph", "pos", None), + ("sources", "pos", None), + ("destinations", "pos", None), + ("dag", "pos", None), + ("allocation", "kw", "None"), + ("weight_basis", "kw", "None"), + ("edge_weights", "kw", "None"), + ("residual", "kw", "None"), + ] + ], + "from_routes": [ + [ + ("graph", "pos", None), + ("sources", "pos", None), + ("destinations", "pos", None), + ("routes", "pos", None), + ("allocation", "kw", "None"), + ("weight_basis", "kw", "None"), + ("edge_weights", "kw", "None"), + ("residual", "kw", "None"), + ] + ], + "source_weights": "attribute", + "sources": "attribute", + "tunnels": "attribute", + }, + "Graph": { + "__init__": [ + [ + ("num_nodes", "pos", None), + ("edge_sources", "pos", None), + ("edge_destinations", "pos", None), + ("edge_capacity_units", "pos", None), + ("edge_costs", "pos", None), + ("resolution", "pos", None), + ] + ], + "edge_capacity_units": [[]], + "edge_cost_gcd": [[]], + "edge_costs": [[]], + "edge_destinations": [[]], + "edge_sources": [[]], + "eligibility": "declared", + "incoming_edges": [[]], + "incoming_offsets": [[]], + "input_positions": [[]], + "max_edge_cost": [[]], + "num_edges": "declared", + "num_nodes": "declared", + "outgoing_offsets": [[]], + "resolution": "declared", + "uid": "declared", + }, + "KspOptions": { + "__init__": [ + [ + ("k", "pos", None), + ("tie_break", "kw", "RouteTieBreak.FEWER_HOPS"), + ("parallel_edges", "kw", "True"), + ("cost_ceiling", "kw", "None"), + ("residual", "kw", "None"), + ("eligibility", "kw", "None"), + ] + ], + "cost_ceiling": "attribute", + "eligibility": "attribute", + "k": "attribute", + "parallel_edges": "attribute", + "residual": "attribute", + "tie_break": "attribute", + }, + "OutputOptions": { + "__init__": [ + [ + ("edge_flows", "kw", "False"), + ("residual", "kw", "False"), + ("saturated_boundary_edges", "kw", "False"), + ("edge_reservations", "kw", "False"), + ("min_cut", "kw", "False"), + ] + ], + "edge_flows": "attribute", + "edge_reservations": "attribute", + "min_cut": "attribute", + "residual": "attribute", + "saturated_boundary_edges": "attribute", + }, + "Path": { + "cost": "declared", + "destination": [[]], + "graph_uid": "declared", + "hops": "declared", + "source": [[]], + "to_dag": [[]], + }, + "Pinned": { + "__init__": [[("program", "pos", None), ("black_holes", "kw", "None")]], + "black_holes": "attribute", + "program": "attribute", + }, + "PlacementResult": { + "__init__": [[("_no_public_constructor", "pos", None)]], + "admitted": "attribute", + "by_source": "attribute", + "by_tunnel": "attribute", + "call_delivered": "attribute", + "call_edge_drops": "attribute", + "call_source_drops": "attribute", + "call_undelivered": "attribute", + "delivered": "attribute", + "delivery_delta": "attribute", + "edge_drops": "attribute", + "edge_flows": "attribute", + "edge_reservations": "attribute", + "marginal_cost_curve": "attribute", + "min_cut": "attribute", + "offered": "attribute", + "plan": "attribute", + "program": "attribute", + "requested": "attribute", + "reservations_changed": "attribute", + "residual": "attribute", + "routes_changed": "attribute", + "saturated_boundary_edges": "attribute", + "source_drops": "attribute", + "termination": "attribute", + "total_cost": "attribute", + "unadmitted": "attribute", + "weights_changed": "attribute", + }, + "PredecessorDAG": { + "__init__": [[("_no_public_constructor", "pos", None)]], + "from_csr": [ + [ + ("graph", "pos", None), + ("parent_offsets", "pos", None), + ("parents", "pos", None), + ("via_edges", "pos", None), + ] + ], + "graph_uid": "declared", + "parent_offsets": "declared", + "parents": "declared", + "via_edges": "declared", + }, + "RouteAllocation": { + "EQUAL": "attribute", + "OPTIMIZED": "attribute", + "WEIGHTED": "attribute", + }, + "RouteDefinition": { + "__init__": [ + [("head", "pos", None), ("route", "pos", None), ("weight", "kw", "1")] + ], + "head": "attribute", + "route": "attribute", + "weight": "attribute", + }, + "RouteTieBreak": { + "FEWER_HOPS": "attribute", + "HIGHER_AVAILABLE_CAPACITY": "attribute", + "HIGHER_CAPACITY": "attribute", + "HIGHER_HEADROOM": "attribute", + }, + "SensitivityEntry": { + "__init__": [[("_no_public_constructor", "pos", None)]], + "delivery_reduction": "attribute", + "edge": "attribute", + }, + "SensitivityResult": {"baseline": "declared", "entries": "declared"}, + "ShortestPathCache": { + "clear": "declared", + "freeze": "declared", + "graph_uid": "declared", + "stats": "declared", + "thaw": "declared", + }, + "ShortestPathCacheMiss": {}, + "ShortestPathCacheStats": { + "bytes": "declared", + "entries": "declared", + "hits": "declared", + "live_values": "declared", + "misses": "declared", + }, + "ShortestPaths": { + "__init__": [ + [ + ("allocation", "kw", "RouteAllocation.EQUAL"), + ("source_allocation", "kw", "None"), + ("weight_basis", "kw", "None"), + ("edge_weights", "kw", "None"), + ("tie_break", "kw", "RouteTieBreak.FEWER_HOPS"), + ("multipath", "kw", "True"), + ("parallel_edges", "kw", "True"), + ] + ], + "allocation": "attribute", + "edge_weights": "attribute", + "multipath": "attribute", + "parallel_edges": "attribute", + "source_allocation": "attribute", + "tie_break": "attribute", + "weight_basis": "attribute", + }, + "SourceAllocation": {"EQUAL": "attribute", "OPTIMIZED": "attribute"}, + "SourceFlow": { + "__init__": [[("_no_public_constructor", "pos", None)]], + "admitted": "attribute", + "delivered": "attribute", + "offered": "attribute", + "source": "attribute", + "source_drops": "attribute", + "total_edge_drops": "attribute", + }, + "SpfOptions": { + "__init__": [ + [ + ("direction", "pos", None), + ("targets", "kw", "None"), + ("tie_break", "kw", "RouteTieBreak.FEWER_HOPS"), + ("multipath", "kw", "True"), + ("parallel_edges", "kw", "True"), + ("residual", "kw", "None"), + ("min_residual", "kw", "1"), + ("eligibility", "kw", "None"), + ] + ], + "direction": "attribute", + "eligibility": "attribute", + "min_residual": "attribute", + "multipath": "attribute", + "parallel_edges": "attribute", + "residual": "attribute", + "targets": "attribute", + "tie_break": "attribute", + }, + "SpfResult": {"costs": "declared", "dag": "declared", "target_cost": "declared"}, + "Termination": { + "COMPLETE": "attribute", + "EXHAUSTED": "attribute", + "NO_ACTIVE_WEIGHT": "attribute", + "NO_ROUTE": "attribute", + }, + "Tunnel": { + "__init__": [[("_no_public_constructor", "pos", None)]], + "destination": "attribute", + "edges": "attribute", + "entry_id": "attribute", + "head": "attribute", + "local_index": "attribute", + "path_cost": "attribute", + "planned_bandwidth": "attribute", + "requested_bandwidth": "attribute", + "reserved_bandwidth": "attribute", + "status": "attribute", + "weight": "attribute", + }, + "TunnelCount": { + "__init__": [[("per_head", "pos", None), ("up_to", "kw", "False")]], + "per_head": "attribute", + "up_to": "attribute", + }, + "TunnelFlow": { + "__init__": [[("_no_public_constructor", "pos", None)]], + "assigned": "attribute", + "delivered": "attribute", + "entry_id": "attribute", + "head": "attribute", + "status": "attribute", + "total_edge_drops": "attribute", + }, + "TunnelPlan": { + "__init__": [[("_no_public_constructor", "pos", None)]], + "design_by_head": "attribute", + "design_demand": "attribute", + "headroom_penalty": "attribute", + "heads_with_capacity": "attribute", + "insufficient_resolution": "attribute", + "max_bandwidth_per_tunnel": "attribute", + "max_fractional_bandwidth_per_tunnel": "attribute", + "max_lossless_offer": "attribute", + "planned_bandwidth_per_tunnel": "attribute", + "total_planned_bandwidth": "attribute", + "total_reserved_bandwidth": "attribute", + "total_tunnel_cost": "attribute", + "tunnels_per_head": "attribute", + }, + "TunnelStatus": { + "BLACKHOLED": "attribute", + "COST_CEILING_EXCEEDED": "attribute", + "FAILED": "attribute", + "INSUFFICIENT_BANDWIDTH": "attribute", + "UP": "attribute", + }, + "WeightBasis": { + "CAPACITY": "attribute", + "EXPLICIT": "attribute", + "RESIDUAL_SNAPSHOT": "attribute", + }, + "as_float": {"__call__": [[("x", "pos", None), ("resolution", "pos", None)]]}, + "evaluate_demand": { + "__call__": [ + [ + ("graph", "pos", None), + ("sources", "pos", None), + ("destinations", "pos", None), + ("options", "pos", None), + ] + ] + }, + "evaluate_edge_failures": { + "__call__": [ + [ + ("graph", "pos", None), + ("sources", "pos", None), + ("destinations", "pos", None), + ("options", "pos", None), + ("workers", "pos", "None"), + ] + ] + }, + "evaluate_pairs": { + "__call__": [ + [ + ("graph", "pos", None), + ("pairs", "pos", None), + ("options", "pos", None), + ("per_pair_eligibility", "pos", "None"), + ("workers", "pos", "None"), + ] + ] + }, + "ksp": { + "__call__": [ + [ + ("graph", "pos", None), + ("source", "pos", None), + ("destination", "pos", None), + ("options", "pos", None), + ] + ] + }, + "resolve_to_paths": { + "__call__": [ + [ + ("graph", "pos", None), + ("dag", "pos", None), + ("source", "pos", None), + ("destination", "pos", None), + ("split_parallel_edges", "pos", "False"), + ("max_paths", "pos", "None"), + ] + ] + }, + "spf": { + "__call__": [ + [("graph", "pos", None), ("roots", "pos", None), ("options", "pos", None)] + ] + }, + "to_units": {"__call__": [[("x", "pos", None), ("resolution", "pos", None)]]}, +} diff --git a/tests/py/flow_oracle.py b/tests/py/flow_oracle.py index ba100c4..a690796 100644 --- a/tests/py/flow_oracle.py +++ b/tests/py/flow_oracle.py @@ -1,4 +1,4 @@ -"""Independent checks of the flow-core payload (``_place_global_units``) for the Python tests. +"""Independent checks of the flow-core payload (``_solve_min_cost_flow``) for the Python tests. Nothing here calls the extension's solver: an exhaustive minimum cost of every integer value on small graphs, an independent successive-shortest-path solver (Bellman-Ford) for the @@ -122,24 +122,28 @@ def certify( ): """Failed clauses of the certificate (empty when the payload is certified).""" n, m = g.num_nodes(), g.num_edges() - src = [int(x) for x in g.edge_src()] - dst = [int(x) for x in g.edge_dst()] - cost = [int(x) for x in g.cost()] - node_ok = [True] * n if node_allowed is None else [bool(x) for x in node_allowed] - edge_ok = [True] * m if edge_allowed is None else [bool(x) for x in edge_allowed] + src = [int(x) for x in g.edge_sources()] + dst = [int(x) for x in g.edge_destinations()] + cost = [int(x) for x in g.edge_costs()] + node_usable = ( + [True] * n if node_allowed is None else [bool(x) for x in node_allowed] + ) + edge_usable = ( + [True] * m if edge_allowed is None else [bool(x) for x in edge_allowed] + ) s_all, d_all = sorted(set(sources)), sorted(set(dests)) f = payload["edge_flows"] pi = payload["potentials"] - placed = payload["placed"] - curve = [tuple(t) for t in payload["cost_distribution"]] + value = payload["flow_value"] + curve = [tuple(t) for t in payload["marginal_cost_curve"]] fails: list[str] = [] if len(f) != m or len(pi) != n: fails.append("shape") return fails if cap == 0: zero = { - "placed": 0, - "cost_distribution": [], + "flow_value": 0, + "marginal_cost_curve": [], "edge_flows": [0] * m, "min_cut": None, "potentials": [NEVER_REACHED] * n, @@ -153,7 +157,7 @@ def certify( for e in range(m): if not 0 <= f[e] <= view[e]: fails.append(f"feasibility at {e}") - if not edge_ok[e] and f[e]: + if not edge_usable[e] and f[e]: fails.append(f"flow on ineligible edge {e}") bal[src[e]] -= f[e] bal[dst[e]] += f[e] @@ -161,33 +165,33 @@ def certify( inflow = {d: bal[d] for d in d_all} for v in range(n): if v in supply: - if supply[v] < 0 or (not node_ok[v] and supply[v]): + if supply[v] < 0 or (not node_usable[v] and supply[v]): fails.append(f"source {v}") elif v in inflow: - if inflow[v] < 0 or (not node_ok[v] and inflow[v]): + if inflow[v] < 0 or (not node_usable[v] and inflow[v]): fails.append(f"destination {v}") elif bal[v]: fails.append(f"conservation at {v}") - if sum(supply.values()) != placed or sum(inflow.values()) != placed: + if sum(supply.values()) != value or sum(inflow.values()) != value: fails.append("value differs from supply or inflow") - if placed < 0 or (cap is not None and placed > cap): + if value < 0 or (cap is not None and value > cap): fails.append("placed outside [0, cap]") s_star, t_star = n, n + 1 out: list[list[tuple[int, int]]] = [[] for _ in range(n + 2)] for e in range(m): - if not edge_ok[e]: + if not edge_usable[e]: continue if f[e] < view[e]: out[src[e]].append((dst[e], cost[e])) if f[e] > 0: out[dst[e]].append((src[e], -cost[e])) - roots = [s for s in s_all if node_ok[s]] + roots = [s for s in s_all if node_usable[s]] for s in roots: out[s_star].append((s, 0)) if supply[s] > 0: out[s].append((s_star, 0)) for d in d_all: - if node_ok[d]: + if node_usable[d]: out[d].append((t_star, 0)) if inflow[d] > 0: out[t_star].append((d, 0)) @@ -202,18 +206,20 @@ def certify( connected = t_star in seen if cap is None and connected: fails.append("uncapped solve left the destinations connected") - if cap is not None and placed != cap and connected: + if cap is not None and value != cap and connected: fails.append("attained value: early stop") if connected: if payload["min_cut"] is not None: fails.append("min_cut on a connected solve") else: expect = [ - e for e in range(m) if edge_ok[e] and src[e] in seen and dst[e] not in seen + e + for e in range(m) + if edge_usable[e] and src[e] in seen and dst[e] not in seen ] if payload["min_cut"] != expect: fails.append(f"min_cut {payload['min_cut']} != closure cut {expect}") - if sum(view[e] for e in expect) != placed: + if sum(view[e] for e in expect) != value: fails.append("cut value differs from placed") # The vertices some search settled: the first search runs on the zero flow and settles # every vertex an allowed source reaches over eligible edges of positive view; a later @@ -223,7 +229,7 @@ def certify( while queue: u = queue.popleft() for e in range(m): - if src[e] == u and edge_ok[e] and view[e] > 0 and dst[e] not in settled: + if src[e] == u and edge_usable[e] and view[e] > 0 and dst[e] not in settled: settled.add(dst[e]) queue.append(dst[e]) for v in range(n): @@ -252,38 +258,40 @@ def certify( fails.append(f"inflow destination {d} potential differs from pi(t*)") if curve and curve[-1][0] != pt: fails.append("pi(t*) differs from the last curve cost") - elif placed: + elif value: fails.append("flow delivered but no destination reached") if any(u <= 0 for _c, u in curve): fails.append("curve volume not positive") if any(b[0] <= a[0] for a, b in zip(curve, curve[1:], strict=False)): fails.append("curve costs not strictly increasing") - if sum(u for _c, u in curve) != placed: + if sum(u for _c, u in curve) != value: fails.append("curve total differs from placed") if sum(c * u for c, u in curve) != sum(cost[e] * f[e] for e in range(m)): fails.append("curve moment differs from the flow cost") - allowed_dests = [d for d in d_all if node_ok[d]] + allowed_dests = [d for d in d_all if node_usable[d]] if m <= 7 and max(view, default=0) <= 3: - best = exhaustive(n, src, dst, cost, view, roots, allowed_dests, edge_ok) + best = exhaustive(n, src, dst, cost, view, roots, allowed_dests, edge_usable) fmax = max(best) top = fmax if cap is None else min(cap, fmax) - if placed != top: - fails.append(f"placed {placed} != min(cap, F_max) {top} (exhaustive)") - for x in range(min(top, placed) + 1): + if value != top: + fails.append(f"placed {value} != min(cap, F_max) {top} (exhaustive)") + for x in range(min(top, value) + 1): if curve_value(curve, x) != best[x]: fails.append(f"curve differs from the exhaustive optimum at {x}") break else: - ref = independent_curve(n, src, dst, cost, view, roots, allowed_dests, edge_ok) + ref = independent_curve( + n, src, dst, cost, view, roots, allowed_dests, edge_usable + ) fmax = ref[-1][0] top = fmax if cap is None else min(cap, fmax) - if placed != top: - fails.append(f"placed {placed} != min(cap, F_max) {top} (independent)") + if value != top: + fails.append(f"placed {value} != min(cap, F_max) {top} (independent)") mine = [(0, 0)] for c, u in curve: mine.append((mine[-1][0] + u, mine[-1][1] + c * u)) for x in sorted({x for x, _c in mine + ref}): - if x <= min(top, placed) and points_value(mine, x) != points_value(ref, x): + if x <= min(top, value) and points_value(mine, x) != points_value(ref, x): fails.append(f"curve differs from the independent solver at {x}") break return fails diff --git a/tests/py/helpers.py b/tests/py/helpers.py index 435bd17..ef02b9d 100644 --- a/tests/py/helpers.py +++ b/tests/py/helpers.py @@ -1,5 +1,5 @@ """Builders and constants shared by the Python tests (not collected: no test_ prefix): graphs, -EdgeId mappings, DAGs, path selections, the two policy configurations most tests use, results +EdgeId mappings, DAGs, the two policy configurations most tests use, results and ledgers as comparable data, the sweep of a call's Python object allocations, and the pytest.raises pattern of an exact message.""" @@ -14,12 +14,14 @@ INF = math.inf L62 = 1 << 62 -DET = ngc.EdgeTieBreak.DETERMINISTIC -PREFER = ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY -CAP = ngc.EdgePriority.CAPACITY -RES = ngc.EdgePriority.RESIDUAL +FEWER = ngc.RouteTieBreak.FEWER_HOPS +HIGHER_CAP = ngc.RouteTieBreak.HIGHER_CAPACITY +HIGHER_AVAIL = ngc.RouteTieBreak.HIGHER_AVAILABLE_CAPACITY +HIGHER_HEADROOM = ngc.RouteTieBreak.HIGHER_HEADROOM # Every optional output of a placement or an evaluator. -ALL_OUT = ngc.OutputOptions(edge_flows=True, residual=True, bottleneck=True) +ALL_OUT = ngc.OutputOptions( + edge_flows=True, residual=True, saturated_boundary_edges=True +) # A chain 0 -> 1 -> 2 -> 3 (cost 1 per edge) with the bypasses 0 -> 2 and 1 -> 3 (cost 3), every # capacity 1: (u, v, capacity, cost) in input order. CHAIN = [(0, 1, 1, 1), (1, 2, 1, 1), (2, 3, 1, 1), (0, 2, 1, 3), (1, 3, 1, 3)] @@ -31,6 +33,19 @@ def exact(text): return rf"\A{re.escape(text)}\Z" +def assert_read_only(obj, *names): + """Each name is a read-only property of obj: the class defines it without a setter, it reads + (a misspelt or removed name fails here, not as the AttributeError below), and assigning the + value it holds raises AttributeError and leaves it unchanged.""" + for name in names: + prop = getattr(type(obj), name) + assert isinstance(prop, property) and prop.fset is None, name + value = getattr(obj, name) + with pytest.raises(AttributeError): + setattr(obj, name, value) + assert getattr(obj, name) == value, name + + def build(n, edges, q=1.0): """A Graph from (u, v, capacity, cost) rows in input order, at resolution q.""" return ngc.Graph( @@ -45,19 +60,19 @@ def build(n, edges, q=1.0): def to_ids(g, values_in): """A per-edge list in input order, permuted to EdgeId order.""" - return [values_in[int(i)] for i in g.input_index()] + return [values_in[int(i)] for i in g.input_positions()] def by_input(g, values): """A per-edge list in EdgeId order, permuted to input order (the inverse of to_ids).""" out = [0] * len(values) for e, x in enumerate(values): - out[int(g.input_index()[e])] = x + out[int(g.input_positions()[e])] = x return out def stats_of(cache): - """The five statistics of a DagCache as one comparable tuple.""" + """The five statistics of a ShortestPathCache as one comparable tuple.""" s = cache.stats() return (s.hits, s.misses, s.entries, s.bytes, s.live_values) @@ -65,58 +80,77 @@ def stats_of(cache): def ids(g, positions): """The EdgeIds of the edges at the given input positions, ascending.""" wanted = {int(p) for p in positions} - return sorted(int(e) for e, p in enumerate(g.input_index()) if int(p) in wanted) + return sorted(int(e) for e, p in enumerate(g.input_positions()) if int(p) in wanted) def dag_of(g, edges): - """The PredDAG of a set of EdgeIds, through the public PredDAG.from_csr.""" + """The PredecessorDAG of a set of EdgeIds, through the public PredecessorDAG.from_csr.""" per = [[] for _ in range(g.num_nodes())] for e in sorted(edges): - per[int(g.edge_dst()[e])].append(e) + per[int(g.edge_destinations()[e])].append(e) offsets, parents, via = [0], [], [] for v in range(g.num_nodes()): for e in per[v]: - parents.append(int(g.edge_src()[e])) + parents.append(int(g.edge_sources()[e])) via.append(e) offsets.append(len(via)) - return ngc.PredDAG.from_csr(g, offsets, parents, via) + return ngc.PredecessorDAG.from_csr(g, offsets, parents, via) + + +def shortest(model=None, **changes): + """A ShortestPaths model: `model` (default ShortestPaths()) with the named fields replaced.""" + model = model or ngc.ShortestPaths() + fields = { + name: getattr(model, name) + for name in ( + "allocation", + "source_allocation", + "weight_basis", + "edge_weights", + "tie_break", + "multipath", + "parallel_edges", + ) + } + fields.update(changes) + return ngc.ShortestPaths(**fields) -def sel(tie=DET, prio=CAP, mp=True, me=True): - """A PathSelection: deterministic ties, capacity priority, multipath, multi-edge by default.""" - return ngc.PathSelection(tie, prio, mp, me) +def config(routing, allocation=None, admission=None): + """A FlowPolicyConfig, Lossless by default; `allocation` (ShortestPaths only) replaces the + model's own.""" + if allocation is not None: + routing = shortest(routing, allocation=allocation) + return ngc.FlowPolicyConfig( + routing=routing, admission=admission or ngc.Admission.LOSSLESS + ) -def config( - routing, placement=ngc.FlowPlacement.EQUAL_BALANCED, admission=None, selection=None -): - """A FlowPolicyConfig: EqualBalanced, Lossless and sel() by default; Global takes neither a - placement nor a selection, so they are left out for it.""" - if isinstance(routing, ngc.Global): - return ngc.FlowPolicyConfig( - routing=routing, admission=admission or ngc.Admission.LOSSLESS +def centralized(source_allocation=None, **fields): + """CentralizedTE with its required source allocation: OPTIMIZED (the exact maximum flow) by + default, EQUAL with a tunnel count (T2).""" + if source_allocation is None: + source_allocation = ( + ngc.SourceAllocation.EQUAL + if fields.get("tunnel_count") is not None + else ngc.SourceAllocation.OPTIMIZED ) - return ngc.FlowPolicyConfig( - routing=routing, - placement=placement, - admission=admission or ngc.Admission.LOSSLESS, - selection=selection or sel(), - ) + return ngc.CentralizedTE(source_allocation=source_allocation, **fields) -def t1_config(count, admission=None, selection=None, **routing): - """A T1 FlowPolicyConfig: CapacityAware(Tunnels(count), **routing), Lossless by default.""" +def t1_config(count, admission=None, **routing): + """A T1 FlowPolicyConfig: DistributedTE(TunnelCount(count), **routing), Lossless by default.""" return ngc.FlowPolicyConfig( - routing=ngc.CapacityAware(ngc.Tunnels(count), **routing), + routing=ngc.DistributedTE(ngc.TunnelCount(count), **routing), admission=admission or ngc.Admission.LOSSLESS, - selection=selection, ) -# The exact maximum flow (Global routing, the optimized origin) and CostOnly EqualBalanced, both -# Lossless (CostOnly with sel()). Configurations are immutable, so tests share these values. -GLOBAL = config(ngc.Global()) -COSTONLY = config(ngc.CostOnly()) +# The exact maximum flow (CentralizedTE routing, the optimized source allocation) and ShortestPaths Equal, both +# Lossless (ShortestPaths() is ECMP: FEWER_HOPS, every route and parallel edge). Configurations +# are immutable, so tests share these values. +GLOBAL = config(centralized()) +COSTONLY = config(ngc.ShortestPaths()) # The result classes whose public attributes are all fields (no methods). @@ -135,7 +169,7 @@ def t1_config(count, admission=None, selection=None, **routing): def plain(value): """A result as comparable data, with no object identities: a result object (a program and its - tunnels included) by every public field, a PredDAG by its three arrays, a Path by its + tunnels included) by every public field, a PredecessorDAG by its three arrays, a Path by its endpoints, hops and cost, an Eligibility by its two masks, containers element by element, arrays as lists.""" if isinstance(value, _RESULTS): @@ -145,7 +179,7 @@ def plain(value): if not f.startswith("_") and not callable(getattr(value, f)) ] return {f: plain(getattr(value, f)) for f in fields} - if isinstance(value, ngc.PredDAG): + if isinstance(value, ngc.PredecessorDAG): return [ plain(a) for a in (value.parent_offsets(), value.parents(), value.via_edges()) @@ -153,7 +187,7 @@ def plain(value): if isinstance(value, ngc.Eligibility): return [plain(value.node_allowed()), plain(value.edge_allowed())] if isinstance(value, ngc.Path): - return [value.src(), value.dst(), plain(value.hops()), value.cost()] + return [value.source(), value.destination(), plain(value.hops()), value.cost()] if isinstance(value, dict): return {k: plain(x) for k, x in value.items()} if isinstance(value, (list, tuple)): @@ -163,33 +197,33 @@ def plain(value): def ledger_state(ledger): """A FlowLedger's public state as comparable data, with no object identity (its uid, which - is also the first half of every FlowId, and its graph's uid, which every bundle carries): + is also the first half of every FlowId, and its graph's uid, which every route carries): both projections (the residual and the allocations, the holds and the unreserved capacity) - and every public field of every record, the bundle as its three arrays.""" + and every public field of every record, the route as its three arrays.""" return [ ledger.residual().tolist(), - ledger.allocated().tolist(), + ledger.carried().tolist(), ledger.reserved().tolist(), ledger.unreserved().tolist(), [ ( r.flow_id[1], - r.owner, + r.policy_id, r.sources, r.destinations, r.admission, - r.entry, + r.entry_id, [ - r.bundle.parent_offsets().tolist(), - r.bundle.parents().tolist(), - r.bundle.via_edges().tolist(), + r.route.parent_offsets().tolist(), + r.route.parents().tolist(), + r.route.via_edges().tolist(), ], - r.route_cost, + r.min_route_cost, r.offered, r.delivered, - r.edges, - r.drops, - r.reserved_edges, + r.edge_flows, + r.edge_drops, + r.edge_reservations, ) for r in ledger.records() ], diff --git a/tests/py/private_hooks.py b/tests/py/private_hooks.py index 01d7764..61a0a33 100644 --- a/tests/py/private_hooks.py +++ b/tests/py/private_hooks.py @@ -3,7 +3,7 @@ skipped without them, never failed. A few scenario tests run in both builds and add checks of the private state observers -(``_state()``: next FlowId, bound and orphaned owners, the requested volume, a flow's members) +(``_state()``: next FlowId, bound and orphaned owners, the requested offer, a flow's members) under ``if HOOKS:``; without the hooks those lines alone are left out. They are test_flow_ledger.py's test_lifetime_bound_rows_and_epochs, test_orphans_from_destruction_reset_and_copy, test_records_fields_and_counters_beyond_64_bits, diff --git a/tests/py/program_oracle.py b/tests/py/program_oracle.py index 50129a5..1e4e8d5 100644 --- a/tests/py/program_oracle.py +++ b/tests/py/program_oracle.py @@ -1,9 +1,9 @@ """An independent reference for forwarding programs of tunnels (the property tests of -test_programs.py). It restates the contract's rules in plain Python and calls nothing of the -library: round robin and highest averages (2.3), the injection over the roster and the split of -each head's share over its entries (8.1), the lossless bound of a fixed program (8.3), the loss -rule inside one program with the nested split at each link, sources first and then entries -(9.1, 9.2), and a maximum flow with its residual-graph certificates (4.1). +test_programs.py). It restates the rules of docs/semantics.md in plain Python and calls nothing +of the library: round robin and highest averages, the injection over the roster and the split of +each head's share over its entries, the lossless bound of a fixed program, the loss rule inside +one program with the nested split at each link, sources first and then entries, and a maximum +flow with its residual-graph certificates. The loss rule is evaluated by synchronous rounds from zero, not by the library's ordering of events: for tunnels that visit links in one topological order (the generators draw paths over a @@ -36,7 +36,7 @@ def ha(n, weights): def replay_roster(specs, rows, excluded_edges, destinations): - """The replay roster (8.4): the heads (ascending) that still reach a destination over their + """The replay roster: the heads (ascending) that still reach a destination over their original routes' edges (the union of their tunnels, the saved basis) without the excluded edges, whether or not one of their tunnels survives whole. rows: (u, v, ...) per EdgeId.""" heads = sorted({h for h, _, _ in specs}) @@ -66,7 +66,7 @@ def entry_amounts(x, specs, alive=None, source_weights=None, roster=None): a head then splits its share by highest averages over its surviving tunnels' weights. What no tunnel carries is lost at the source: an empty roster's whole offer, the offer captured weights of 0 do not inject, a head whose surviving tunnels have weight 0 or that has none. - Returns (amounts, source_loss).""" + Returns (amounts, source_drops).""" alive = alive if alive is not None else [True] * len(specs) roster = roster if roster is not None else sorted({h for h, _, _ in specs}) if not roster: diff --git a/tests/py/removed_names_reviewed.txt b/tests/py/removed_names_reviewed.txt new file mode 100644 index 0000000..c0bd76a --- /dev/null +++ b/tests/py/removed_names_reviewed.txt @@ -0,0 +1,491 @@ +# The reviewed uses of removed names (tests/py/test_removed_names.py), one row per line and word: +# place | word | substring unique to that line in its place | reason. Each was read where it stands; +# all are ordinary words of this domain's prose, a name current in another owner's sense, or a +# local variable of the same file. +CentralizedTE | tunnels | >= 1; the other heads are dead and lose their share), N sing | a model's tunnels (ForwardingProgram.tunnels is the current name) +CentralizedTE | tunnels | Traffic splits equally over the heads and over each head's t | a model's tunnels (ForwardingProgram.tunnels is the current name) +DistributedTE | tunnels | T1: every head sets up its own strict tunnels by CSPF, no co | a model's tunnels (ForwardingProgram.tunnels is the current name) +DistributedTE | tunnels | owner and of this setup's earlier tunnels) is at least max(r | a model's tunnels (ForwardingProgram.tunnels is the current name) +DistributedTE | tunnels | tunnel_count.per_head tunnels; in round order (round j, head | a model's tunnels (ForwardingProgram.tunnels is the current name) +DistributedTE | tunnels | tunnels; a head with no tunnel up loses its share. Holds nev | a model's tunnels (ForwardingProgram.tunnels is the current name) +DistributedTE | volume | The design volume D is split equally over the roster heads a | the design volume D of the tunnel models +EvaluationOptions.design_demand | volume | the tunnel models' design volume as given (int units or a fl | the design volume D of the tunnel models +FlowLedger | placed | only by reset(); the records are the flows placed on it by p | traffic placed (delivered) on a ledger +FlowPolicyConfig | edge_weights | for DistributedTE, the ceilings, min_unreserved_bandwidth an | ShortestPaths.edge_weights, where the field now lives +FlowRecord | entry | sources, destinations, admission, entry_id (a T1, T2 or Pinn | an entry of a program, an array or a CSR list +FlowRecord.entry_id | entry | the program entry the record carries (T1, T2 and Pinned: the | an entry of a program, an array or a CSR list +ForwardingProgram | weights | An immutable value: one demand's routes and integer weights. | WEIGHTED's member weights +ForwardingProgram | weights | highest averages over its entries' weights; identical routes | WEIGHTED's member weights +ForwardingProgram.from_dag | allocated | allocated equally and pooled at every shared router exactly | allocated memory, storage or amounts +ForwardingProgram.source_weights | weights | the captured source weights ((source, weight), ascending), o | WEIGHTED's member weights +Graph | cost | Costs are positive integers; capacities are int64 units of t | an edge's or a path's cost (Path.cost is the current name) +Graph | cost | given in input order and numbered by sorting on (source, cos | an edge's or a path's cost (Path.cost is the current name) +Graph.__init__ | cost | capacity and cost sums below 2^62). Integers are read withou | an edge's or a path's cost (Path.cost is the current name) +Graph.__init__ | cost | zero or negative costs, the remaining bounds (endpoints in r | an edge's or a path's cost (Path.cost is the current name) +Graph.edge_cost_gcd | cost | gcd of the edge costs (0 without edges) | an edge's or a path's cost (Path.cost is the current name) +Graph.edge_costs | cost | int64[E] costs, id order (read-only view) | an edge's or a path's cost (Path.cost is the current name) +Graph.incoming_edges | cost | int32[E]: the in-edges of v in (cost, source, input) order, | an edge's or a path's cost (Path.cost is the current name) +Graph.max_edge_cost | cost | largest edge cost (0 without edges) | an edge's or a path's cost (Path.cost is the current name) +PlacementResult | drops | LOSSY with an empty roster, where the whole offer is the dem | losses on links or at a source +PlacementResult.call_delivered | placed | the units placed (delivered) by this call | traffic placed (delivered) on a ledger +PlacementResult.call_edge_drops | drops | this call's drops on links [(EdgeId, units)], ascending Edge | losses on links or at a source +PlacementResult.edge_drops | drops | the epoch's drops on links [(EdgeId, units)], ascending Edge | losses on links or at a source +PredecessorDAG.from_csr | via | len(via_edges); then every parent and via edge in range, eve | the via edge of a DAG entry +PredecessorDAG.from_csr | via | no duplicate (child, via edge), acyclic; within a node the e | the via edge of a DAG entry +PredecessorDAG.via_edges | via | int32 via EdgeId per entry (read-only view) | the via edge of a DAG entry +README.md | Route | ### Route structures | a route or routes (a heading such as 'Route structures' or 'Routes') +README.md | Route | - **Route allocations**, the rules that spread one flow over | a route or routes (a heading such as 'Route structures' or 'Routes') +README.md | Route | - **Route choice**: one tie rule, `RouteTieBreak` (`FEWER_HO | a route or routes (a heading such as 'Route structures' or 'Routes') +README.md | cost | fixed order (the resolution, the unit values, the shapes, ze | an edge's or a path's cost (Path.cost is the current name) +README.md | count | `TunnelCount(L, up_to=True)` chooses the smallest common cou | the tunnel count +README.md | count | unchanged, except that a call raising `ShortestPathCacheMiss | the tunnel count +README.md | count | without a tunnel count, an ideal controller: the minimum-cos | the tunnel count +README.md | drops | by hop and records what it drops. | losses on links or at a source +README.md | edge_weights | `allocation=WEIGHTED` is WCMP with its `weight_basis` and `e | ShortestPaths.edge_weights, where the field now lives +README.md | edge_weights | edge_weights=None, tie_break=FEWER_HOPS, multipath=True, par | ShortestPaths.edge_weights, where the field now lives +README.md | edges | `saturated_boundary_edges(sources)` lists the full edges lea | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) +README.md | placed | `edge_flows`, `edge_drops` and `edge_reservations`) are the | traffic placed (delivered) on a ledger +README.md | placement | placement engine for one demand, bound to its ledger. `FlowP | placing traffic +README.md | tunnels | and splits equally over their up tunnels; | a model's tunnels (ForwardingProgram.tunnels is the current name) +README.md | tunnels | design; a `support` restricts the tunnels to its edges. The | a model's tunnels (ForwardingProgram.tunnels is the current name) +README.md | tunnels | design_demand=None)` publishes it (T1 sets its tunnels up an | a model's tunnels (ForwardingProgram.tunnels is the current name) +README.md | tunnels | equally over the heads and their tunnels, each tunnel runs C | a model's tunnels (ForwardingProgram.tunnels is the current name) +README.md | tunnels | nothing; the policy's Eligibility fails the tunnels it touch | a model's tunnels (ForwardingProgram.tunnels is the current name) +README.md | tunnels | program (T1 keeps its tunnels and holds, T2 its tunnels and | a model's tunnels (ForwardingProgram.tunnels is the current name) +README.md | tunnels | single-path tunnels with one common whole-unit planned bandw | a model's tunnels (ForwardingProgram.tunnels is the current name) +README.md | tunnels | strict-bandwidth tunnels, as RSVP-TE head ends do, with no c | a model's tunnels (ForwardingProgram.tunnels is the current name) +README.md | volume | strict-bandwidth tunnels, as RSVP-TE head ends do, with no c | the design volume D of the tunnel models +README.md | weights | - **`ForwardingProgram`**: the routes and integer weights of | WEIGHTED's member weights +ShortestPaths.edge_weights | weights | the explicit weights (one int per edge, a tuple), or None | WEIGHTED's member weights +SourceFlow.total_edge_drops | dropped | LOSSY: its units dropped on links; 0 when LOSSLESS | traffic dropped on a link or at a black hole +Tunnel | planned | planned_bandwidth: T2's planned bandwidth | T2's planned bandwidth +TunnelCount | count | The tunnel count of T1 (DistributedTE) and T2, per head: per | the tunnel count +TunnelCount | count | policy or an evaluator uses it). up_to=True (T2 only; T1 rej | the tunnel count +TunnelCount.per_head | count | the tunnels per head (the largest count for up_to) | the tunnel count +TunnelCount.up_to | count | True: the smallest sufficient count up to per_head (T2 only) | the tunnel count +TunnelFlow.total_edge_drops | dropped | its units dropped on links | traffic dropped on a link or at a black hole +TunnelPlan | count | The tunnel models' setup summary (read-only): tunnels_per_he | the tunnel count +TunnelPlan | volume | design_demand (the design volume D in units), design_by_head | the design volume D of the tunnel models +TunnelPlan.design_demand | volume | the design volume D in units; float('inf') when unlimited | the design volume D of the tunnel models +TunnelPlan.total_tunnel_cost | count | T2: the sum of cost * tunnel count over the links (exact; ca | the tunnel count +TunnelPlan.tunnels_per_head | count | the tunnels per head (T2 up to: the chosen count) | the tunnel count +bindings/python/hooks.cpp | allocated | are counted, so a test also sees what a failed call left all | allocated memory, storage or amounts +bindings/python/publication.hpp | allocated | The checked construction of result objects: the Python objec | allocated memory, storage or amounts +bindings/python/publication.hpp | allocated | value (std::shared_ptr also deletes it when its control bloc | allocated memory, storage or amounts +bindings/python/publication.hpp | make_new_instance | pybind11's make_new_instance uses the result of tp_alloc unc | pybind11's own name +bindings/python/publication.hpp | throw_if_missing | throw_if_missing= | pybind11's own name +bindings/python/publication.hpp | type_caster_generic | generic move-cast (type_caster_generic::cast) but with the o | pybind11's own name +code:include/netgraph/core/detail/search_detail.hpp | priority | priority_value | the internal tie score of the search (Priority, PriorityReader, priority_value): a current internal name +code:src/flow_policy.cpp | priority | as_priority_reader | the internal tie score of the search (Priority, PriorityReader, priority_value): a current internal name +code:src/flow_policy.cpp | priority | priority_value | the internal tie score of the search (Priority, PriorityReader, priority_value): a current internal name +code:src/min_cost_flow.cpp | origin | origin | repair()'s origin node (where a repair search starts), not the removed source-allocation term +code:src/search.cpp | priority | prefer_priority | the internal tie score of the search (Priority, PriorityReader, priority_value): a current internal name +code:src/search.cpp | priority | priority | the internal tie score of the search (Priority, PriorityReader, priority_value): a current internal name +code:src/search.cpp | priority | priority_value | the internal tie score of the search (Priority, PriorityReader, priority_value): a current internal name +code:tests/cpp/contract_examples_tests.cpp | Stretch | A_X8_Stretch_cost7 | the test of the worked example `A-X8-Stretch-cost7` (an example id as a test label) +code:tests/cpp/contract_examples_tests.cpp | Stretch | A_X8_Stretch_exact | the test of the worked example `A-X8-Stretch-exact` (an example id as a test label) +code:tests/cpp/test_utils.hpp | priority | priority | the test helper that computes the internal tie score of an edge +code:tests/py/test_centralized_te_tunnels.py | priority | priority | the retired keyword passed on purpose: the test checks it is rejected +code:tests/py/test_configuration.py | origin | origin | the retired keyword passed on purpose: the test checks it is rejected +code:tests/py/test_configuration.py | selection | selection | the retired keyword passed on purpose: the test checks it is rejected +code:tests/py/tunnel_oracle.py | priority | priority | the oracle's tie score of an edge (as the library's internal priority_value) +dev/perf/aba.py | selection | row, and a selection has at least one (``choose_rows``). | the timing report's `selection` record (its JSON key is kept) +dev/perf/aba.py | selection | selection, ``--iters`` (the pins) and the report's start. Re | the timing report's `selection` record (its JSON key is kept) +dev/perf/aba.py | selection | their groups it did not, and per group the rows the whole se | the timing report's `selection` record (its JSON key is kept) +dev/perf/aba_api.hpp | dst | * ksp (ksp.fabric3_k8): ksp(g, src, dst, KspOptions(k)) (FEW | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) +dev/perf/aba_api.hpp | dst | * spf_dag (spf.dag.*): spf(g, {src}, Forward, targets {dst}) | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) +dev/perf/aba_api.hpp | dst | * spf_path (spf.single.canonical16k): spf(g, {src}, Forward, | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) +dev/perf/aba_api.hpp | dst | * spf_to (spf.to.random16k): spf(g, {dst}, Reverse, no targe | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) +dev/perf/aba_api.hpp | dst | One demand's program: the optimized CentralizedTE solve of ` | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) +dev/perf/aba_api.hpp | g | * ksp (ksp.fabric3_k8): ksp(g, src, dst, KspOptions(k)) (FEW | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) +dev/perf/aba_api.hpp | g | * spf_dag (spf.dag.*): spf(g, {src}, Forward, targets {dst}) | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) +dev/perf/aba_api.hpp | g | * spf_path (spf.single.canonical16k): spf(g, {src}, Forward, | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) +dev/perf/aba_api.hpp | g | * spf_to (spf.to.random16k): spf(g, {dst}, Reverse, no targe | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) +dev/perf/aba_api.hpp | g | The queue a search with the default queue (Auto) takes on g: | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) +dev/perf/aba_api.hpp | g | spf(g, {src}, Forward, no targets), the default route choice | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) +dev/perf/aba_api.hpp | src | * ksp (ksp.fabric3_k8): ksp(g, src, dst, KspOptions(k)) (FEW | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) +dev/perf/aba_api.hpp | src | * spf_dag (spf.dag.*): spf(g, {src}, Forward, targets {dst}) | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) +dev/perf/aba_api.hpp | src | * spf_path (spf.single.canonical16k): spf(g, {src}, Forward, | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) +dev/perf/aba_api.hpp | src | One demand's program: the optimized CentralizedTE solve of ` | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) +dev/perf/aba_api.hpp | src | spf(g, {src}, Forward, no targets), the default route choice | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) +dev/perf/aba_api.hpp | u_k | N, E, max_edge_cost, edge_cost_gcd; then for the 16 nodes u_ | a math symbol of the comment's formula +dev/perf/aba_api.hpp | v_k | number of DAG entries; the distances of the 16 nodes v_k = ( | a math symbol of the comment's formula +dev/perf/aba_rows.hpp | allocated | grows. Both are allocated and written before the row's setup | allocated memory, storage or amounts +dev/perf/aba_rows.hpp | dst | The digest of an input (node count, then src, dst and cost o | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) +dev/perf/aba_rows.hpp | dst | The full-content digest of an input: n and E, then src, dst, | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) +dev/perf/aba_rows.hpp | dst | dst): the B' id order; reversed: the whole sequence of that | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) +dev/perf/aba_rows.hpp | random1m_nat | (random1m_nat) or the same edges in a uniform random order ( | a timing row's name (the tool keeps row names) +dev/perf/aba_rows.hpp | random1m_scat | (random1m_nat) or the same edges in a uniform random order ( | a timing row's name (the tool keeps row names) +dev/perf/aba_rows.hpp | src | The digest of an input (node count, then src, dst and cost o | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) +dev/perf/aba_rows.hpp | src | The full-content digest of an input: n and E, then src, dst, | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) +dev/perf/aba_rows.hpp | src | of input positions where src decreases, and whether the inpu | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) +dev/perf/aba_rows.hpp | src | recovered from the same draws (1 + k for the generator's 1 + | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) +dev/perf/test_tool.py | allocated | the per-iteration bookkeeping is allocated before the setup | allocated memory, storage or amounts +dev/perf/test_tool.py | selection | main's character check passes '?', '[', ']' and '!' on to th | the timing report's `selection` record (its JSON key is kept) +dev/perf/test_tool.py | selection | memory rule, the verdicts, the bootstrap interval, the clust | the timing report's `selection` record (its JSON key is kept) +docs/semantics.md | Residual | - **EdgeId order is the coordinate of every per-edge value.* | the term 'Residual' (an edge's free capacity) +docs/semantics.md | Residual | - **Residual gating** (only when a `residual` array is suppl | the term 'Residual' (an edge's free capacity) +docs/semantics.md | Residual | - **Residual gating** at 1 unit when a residual is supplied. | the term 'Residual' (an edge's free capacity) +docs/semantics.md | Residual | - **Residual.** The capacity of an edge that is still free, | the term 'Residual' (an edge's free capacity) +docs/semantics.md | Route | ## 3. Route values: PredecessorDAG and Path | a route or routes (a heading such as 'Route structures' or 'Routes') +docs/semantics.md | Route | ## 5. Route allocations and admission | a route or routes (a heading such as 'Route structures' or 'Routes') +docs/semantics.md | Route | - **Route allocation.** The rule that spreads one flow over | a route or routes (a heading such as 'Route structures' or 'Routes') +docs/semantics.md | Route | - **Route choice.** The tie rule (`RouteTieBreak`), `multipa | a route or routes (a heading such as 'Route structures' or 'Routes') +docs/semantics.md | Route | - **Route of a record.** The edges one record may use, as a | a route or routes (a heading such as 'Route structures' or 'Routes') +docs/semantics.md | Route | - **Routes.** At u, among the count vectors `x` (the tunnels | a route or routes (a heading such as 'Route structures' or 'Routes') +docs/semantics.md | Route | 3. [Route values: PredecessorDAG and Path](#3-route-values-p | a route or routes (a heading such as 'Route structures' or 'Routes') +docs/semantics.md | Route | 5. [Route allocations and admission](#5-route-allocations-an | a route or routes (a heading such as 'Route structures' or 'Routes') +docs/semantics.md | allocated | sources are allocated equally and pooled at every shared rou | allocated memory, storage or amounts +docs/semantics.md | bundle | possibly many equal-cost walks) or a `Path` (one explicit wa | a bundle of members +docs/semantics.md | cost | - **EdgeId.** The EdgeId of an edge is its rank in the stabl | an edge's or a path's cost (Path.cost is the current name) +docs/semantics.md | cost | `(cost, source, input)` order. Both offset arrays have `N + | an edge's or a path's cost (Path.cost is the current name) +docs/semantics.md | cost | `outgoing_offsets()[u]` to `outgoing_offsets()[u + 1] - 1`, | an edge's or a path's cost (Path.cost is the current name) +docs/semantics.md | cost | booleans are rejected, not rounded); the array shapes; a zer | an edge's or a path's cost (Path.cost is the current name) +docs/semantics.md | cost | bounds (node ids in range, then the capacity and cost sums b | an edge's or a path's cost (Path.cost is the current name) +docs/semantics.md | cost | capacity sum before the cost sum at the same edge). Integers | an edge's or a path's cost (Path.cost is the current name) +docs/semantics.md | cost | public number, its EdgeId, by sorting the edges by source, c | an edge's or a path's cost (Path.cost is the current name) +docs/semantics.md | cost | `NodeId`, `EdgeId` (`int32`), the cost and amount aliases (` | an edge's or a path's cost (Path.cost is the current name) +docs/semantics.md | count | (`DistributedTE requires an exact tunnel count`), then the c | the tunnel count +docs/semantics.md | count | - **Count outcomes.** An empty roster gives an empty program | the tunnel count +docs/semantics.md | count | - **Routes.** At u, among the count vectors `x` (the tunnels | the tunnel count +docs/semantics.md | count | - **Sizing.** `H` roster heads in ascending node id, `N = tu | the tunnel count +docs/semantics.md | count | 10000]`; `TunnelCount(per_head)` itself takes any 64-bit int | the tunnel count +docs/semantics.md | count | Admission `LOSSLESS` or `LOSSY`. No path-cost ceiling. The t | the tunnel count +docs/semantics.md | count | Eligibility. Every step (roster, live heads, sizing, count c | the tunnel count +docs/semantics.md | count | Then each model's own fields: the tunnel count in `[1, 10000 | the tunnel count +docs/semantics.md | count | `TunnelCount(L, up_to=True)` gives every head one common cou | the tunnel count +docs/semantics.md | count | carried loads per edge: summing them counts every hop, not t | the tunnel count +docs/semantics.md | count | common count that carries the live heads' design shares (or | the tunnel count +docs/semantics.md | count | for T1 (`L` counts for "up to"). | the tunnel count +docs/semantics.md | count | is never held. A tunnel count is a number of setup attempts | the tunnel count +docs/semantics.md | count | never grows with `k` (once it is 0, every later count scores | the tunnel count +docs/semantics.md | count | partial hold, retry, growth or count reduction; `min_unreser | the tunnel count +docs/semantics.md | count | result. A failed lookup counts one miss. A frozen cache neve | the tunnel count +docs/semantics.md | count | sum of cost[e] * x[e]` (`total_tunnel_cost`; idle tunnels co | the tunnel count +docs/semantics.md | count | the share. `a` live heads, `k` tunnels each (`N`, or the cho | the tunnel count +docs/semantics.md | count | then roster position `i`, with the entry identifier `j * H + | the tunnel count +docs/semantics.md | count | without a tunnel count, and `ShortestPaths` with `allocation | the tunnel count +docs/semantics.md | dropped | carries traffic. Records and `OutputOptions` give the carrie | traffic dropped on a link or at a black hole +docs/semantics.md | drops | - **The lossless bound.** A Lossless call forwards each entr | losses on links or at a source +docs/semantics.md | drops | forwards hop by hop and drops what does not fit on each edge | losses on links or at a source +docs/semantics.md | edge_weights | `ValueError` (`TunnelCount per_head = is out of range [. | ShortestPaths.edge_weights, where the field now lives +docs/semantics.md | edge_weights | `edge_weights[0] must be an integer (got bool)`); an integer | ShortestPaths.edge_weights, where the field now lives +docs/semantics.md | edge_weights | `numpy.bool_`; an integer field or `edge_weights` of a confi | ShortestPaths.edge_weights, where the field now lives +docs/semantics.md | edge_weights | beyond 64 bits `ValueError('edge_weights[] must be an int | ShortestPaths.edge_weights, where the field now lives +docs/semantics.md | edge_weights | built from one model read one `edge_weights` array). | ShortestPaths.edge_weights, where the field now lives +docs/semantics.md | edge_weights | edge_weights=None, tie_break=RouteTieBreak.FEWER_HOPS, multi | ShortestPaths.edge_weights, where the field now lives +docs/semantics.md | edge_weights | integer (got bool)`), and so does an `edge_weights` that is | ShortestPaths.edge_weights, where the field now lives +docs/semantics.md | edges | - **Member graph.** The edges a search may use: eligible (an | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) +docs/semantics.md | edges | - **Minimum cut.** A set of edges whose removal separates th | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) +docs/semantics.md | edges | - **Parallel members.** Several edges between the same two n | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) +docs/semantics.md | edges | - **Route of a record.** The edges one record may use, as a | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) +docs/semantics.md | edges | - **Shortest-path DAG.** The set of all tight edges: every s | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) +docs/semantics.md | edges | `CentralizedTE`'s `tunnel_count`, `FlowRecord.entry_id`, a d | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) +docs/semantics.md | edges | `RESIDUAL_SNAPSHOT` reads; it has no default). A split route | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) +docs/semantics.md | edges | ascending EdgeId. It follows edges forward only. It ignores | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) +docs/semantics.md | edges | kinds), `destination`, `edges` (in path order), `path_cost` | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) +docs/semantics.md | edges | set of nodes reachable from the allowed sources over edges w | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) +docs/semantics.md | edges | traffic (holds play no part): the edges (eligible, at least | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) +docs/semantics.md | edges | walk's edges. | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) +docs/semantics.md | entry | (`service_baseline has length , expected (one entry p | an entry of a program, an array or a CSR list +docs/semantics.md | entry | - **Entry identifiers.** Every entry has an integer `entry_i | an entry of a program, an array or a CSR list +docs/semantics.md | entry | - **Entry.** One route of a program: a **tunnel** (one path, | an entry of a program, an array or a CSR list +docs/semantics.md | entry | - **Injection.** A total `x` enters at the roster (the heads | an entry of a program, an array or a CSR list +docs/semantics.md | entry | - **The lossless bound.** A Lossless call forwards each entr | an entry of a program, an array or a CSR list +docs/semantics.md | entry | `admission`; `entry_id` (a T1, T2 or `Pinned` record: the id | an entry of a program, an array or a CSR list +docs/semantics.md | entry | are never merged: each entry takes its own share. `ShortestP | an entry of a program, an array or a CSR list +docs/semantics.md | entry | entry in `[0, edge_capacity_units[e]]` (a physical baseline | an entry of a program, an array or a CSR list +docs/semantics.md | entry | route** (a DAG whose routers split by fixed rules). Each ent | an entry of a program, an array or a CSR list +docs/semantics.md | factor | 5. anything else raises `TypeError` (`CostStretch factor mus | CostStretch.factor, the current name +docs/semantics.md | factor | or an infinity raises `ValueError` (`CostStretch factor must | CostStretch.factor, the current name +docs/semantics.md | owner | occupancy. T1's setup reads `unreserved` (other owners' hold | the owner of a hold (another policy) +docs/semantics.md | placed | **In plain words.** A `FlowLedger` holds what is placed on o | traffic placed (delivered) on a ledger +docs/semantics.md | placed | already placed, so the pairs are not the costs of the paths | traffic placed (delivered) on a ledger +docs/semantics.md | placed | be placed raises `ShortestPathCacheMiss` through a frozen ca | traffic placed (delivered) on a ledger +docs/semantics.md | placed | placed (a static walk, the static shortest cost). | traffic placed (delivered) on a ledger +docs/semantics.md | placement | - **Roster.** The sources of a policy that take part in plac | placing traffic +docs/semantics.md | placement | infinite one is rejected (`finite placement after infinite p | placing traffic +docs/semantics.md | placement | placement` or `CentralizedTE with tunnel_count does not supp | placing traffic +docs/semantics.md | planned | `planned_bandwidth` (T2's planned bandwidth u, never held; 0 | T2's planned bandwidth +docs/semantics.md | priority | - **Bottleneck of a walk.** The smallest priority value (res | a score's priority order, or a priority queue +docs/semantics.md | priority | - **Not modelled:** traffic classes and priority queues, RSV | a score's priority order, or a priority queue +docs/semantics.md | priority | a hold can use bandwidth that T1 holds: there is no priority | a score's priority order, or a priority queue +docs/semantics.md | tunnels | ([T1](#t1-tunnels-set-up-by-their-heads)). | a link anchor, the slug of the docs' own heading +docs/semantics.md | tunnels | ([T2](#t2-the-controllers-equal-tunnels)). The controller ru | a link anchor, the slug of the docs' own heading +docs/semantics.md | tunnels | (empty without tunnels): `entry_id`, `head`, `status` (`UP`; | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | **without tunnels that keeps the roster**: `policy.program` | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | - **Design demand.** The volume T1 and T2 size their tunnels | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | - **Routes.** At u, among the count vectors `x` (the tunnels | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | - **Sizing.** Tunnels of a common size `s > 0` exist exactly | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | - **T1.** `DistributedTE(TunnelCount(N))`: every head sets u | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | - **`CentralizedTE(tunnel_count=...)` (T2)** lays out its tu | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | - **`DistributedTE` (T1)** sets up its tunnels for a design | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | All N tunnels are still set up: a tunnel with request 0 come | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | Otherwise every live head has `k` tunnels. No partial progra | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | [T2](#t2-the-controllers-equal-tunnels); `None` for every ot | a link anchor, the slug of the docs' own heading +docs/semantics.md | tunnels | `TunnelPlan` of that program, [T1](#t1-tunnels-set-up-by-the | a link anchor, the slug of the docs' own heading +docs/semantics.md | tunnels | `forward(offer)` forwards the installed program and keeps it | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | `total_planned_bandwidth` is `K * u`. Once U >= 1, every liv | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | attributed to one of its down tunnels. | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | bandwidth ([section 7](#t2-the-controllers-equal-tunnels)). | a link anchor, the slug of the docs' own heading +docs/semantics.md | tunnels | bandwidth), with no controller ([section 7](#t1-tunnels-set- | a link anchor, the slug of the docs' own heading +docs/semantics.md | tunnels | bring more tunnels up or fewer. | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | controller lays out N single-path tunnels for every live hea | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | controller, and each head (a roster source) sets up its own | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | demand is never renormalised over the heads that have tunnel | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | equally at the heads and splits equally over each head's tun | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | equally over the heads and each head's share equally over it | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | guaranteed up, and two tunnels may take the same links. | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | is 0 and an offer is forwarded over the tunnels. | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | is never held. A tunnel count is a number of setup attempts | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | it always keeps every parallel link, uses single-path tunnel | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | its share is below k units, including a design of 0 (the tun | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | node id; a head's share goes only to its own tunnels, and wh | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | plan before assuming `len(tunnels) == N * H`. | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | preemption, bandwidth policing, automatically disjoint or SR | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | projection ([section 6](#6-the-ledger)): they decide which t | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | request `RR(share, N, j)`: the tunnels of one head differ by | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | requests of the tunnels already up in this setup. | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | robin over that head's up tunnels in local order. A head wit | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | roster head) and `total_reserved_bandwidth` (the up tunnels' | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | sequence (duplicates are separate tunnels). The tunnels are | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | single-path tunnels, all planned with one common whole-unit | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | sum of cost[e] * x[e]` (`total_tunnel_cost`; idle tunnels co | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | the share. `a` live heads, `k` tunnels each (`N`, or the cho | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | then round robin over the head's `k` tunnels in local order; | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | then splits equally over the heads and over each head's tunn | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | traffic, lays the tunnels out again for D and forwards; `des | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | `design_demand` required and finite; `offer` `None`: the los | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | `EQUAL`, fixed | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | tralizedTE(source_allocation=..., tunnel_count=...)`, option | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | an ideal controller that sees the whole network, or only the | a link anchor, the slug of the docs' own heading +docs/semantics.md | tunnels | distributed strict-bandwidth tunnels, as RSVP-TE head ends s | a link anchor, the slug of the docs' own heading +docs/semantics.md | tunnels | up whose paths or up and down tunnels differ from the instal | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | h's first nonempty program (`ShortestPaths` and the controll | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | via | ascending via EdgeId. Any failure is a `ValueError`. | the via edge of a DAG entry +docs/semantics.md | via | ends at `len(parents) == len(via_edges)`; then every id is i | the via edge of a DAG entry +docs/semantics.md | via | node, no `(node, via)` pair repeats, the DAG has no cycle an | the via edge of a DAG entry +docs/semantics.md | volume | - **Design demand.** The volume T1 and T2 size their tunnels | the design volume D of the tunnel models +docs/semantics.md | volume | - **`CentralizedTE(tunnel_count=...)` (T2)** lays out its tu | the design volume D of the tunnel models +docs/semantics.md | volume | - **`DistributedTE` (T1)** sets up its tunnels for a design | the design volume D of the tunnel models +docs/semantics.md | volume | bandwidth as large as possible, then (for a finite design vo | the design volume D of the tunnel models +docs/semantics.md | volume | controller, and each head (a roster source) sets up its own | the design volume D of the tunnel models +docs/semantics.md | volume | volume, take whole offers only). `evaluate`, `replace` and ` | the design volume D of the tunnel models +docs/semantics.md | weights | (`EQUAL`) or by highest averages over the weights (`WEIGHTED | WEIGHTED's member weights +docs/semantics.md | weights | (`from_dag allocation must be EQUAL or WEIGHTED`) and the we | WEIGHTED's member weights +docs/semantics.md | weights | - **EdgeId order is the coordinate of every per-edge value.* | WEIGHTED's member weights +docs/semantics.md | weights | - **Highest averages `H(x, w)`.** `x` units over members wit | WEIGHTED's member weights +docs/semantics.md | weights | - **Program.** A `ForwardingProgram`: the routes and integer | WEIGHTED's member weights +docs/semantics.md | weights | - **The tie rule never supplies weights** (`ShortestPaths` ` | WEIGHTED's member weights +docs/semantics.md | weights | - **`Pinned`** forwards its program as given, computing noth | WEIGHTED's member weights +docs/semantics.md | weights | - **`WEIGHTED`** splits at every node by highest averages ov | WEIGHTED's member weights +docs/semantics.md | weights | - The roster is rebuilt from the program's **basis**, ignori | WEIGHTED's member weights +docs/semantics.md | weights | 6. the weights: `weight_basis requires allocation=WEIGHTED`; | WEIGHTED's member weights +docs/semantics.md | weights | allocation the program keeps the solved supplies as **captur | WEIGHTED's member weights +docs/semantics.md | weights | and attribution, in one split context. `allocation` is `EQUA | WEIGHTED's member weights +docs/semantics.md | weights | chooses weights. Weights are never renormalised; a member wh | WEIGHTED's member weights +docs/semantics.md | weights | ignoring capacity and weights; an empty roster is allowed (a | WEIGHTED's member weights +docs/semantics.md | weights | its weights from its weight basis there ([section 5](#5-rout | WEIGHTED's member weights +docs/semantics.md | weights | robin (**equal sources**) or by highest averages over the ca | WEIGHTED's member weights +docs/semantics.md | weights | routes`); `OPTIMIZED` (`from_routes allocation must be EQUAL | WEIGHTED's member weights +docs/semantics.md | weights | share and loses it. Captured source weights keep the remaini | WEIGHTED's member weights +docs/semantics.md | weights | stays `UP`. Weights stay as the program froze them. | WEIGHTED's member weights +docs/semantics.md | weights | the demand. Equal positive weights give exactly round robin: | WEIGHTED's member weights +docs/semantics.md | weights | the interior split of the `PredecessorDAG` routes, `EQUAL` ( | WEIGHTED's member weights +docs/semantics.md | weights | then splits its share by highest averages over its entries' | WEIGHTED's member weights +docs/semantics.md | weights | value does not expose per-router effective weights, the spli | WEIGHTED's member weights +docs/semantics.md | weights | weights), and forwards it hop by hop on the free capacity: e | WEIGHTED's member weights +docs/semantics.md | weights | route allocation | WEIGHTED's member weights +evaluate_edge_failures | placed | (NGRAPH_CORE_SENSITIVITY_THREADS). Only ShortestPaths reads | traffic placed (delivered) on a ledger +include/netgraph/core/detail/min_cost_flow.hpp | allocated | keeps it alive); the working storage is the resolver's own, | allocated memory, storage or amounts +include/netgraph/core/detail/min_cost_flow.hpp | f_e | repairs the state by three fixed-origin repairs (u -> v for | a math symbol of the comment's formula +include/netgraph/core/detail/min_cost_flow.hpp | f_e | residuals and potentials from that copy, deletes a real arc | a math symbol of the comment's formula +include/netgraph/core/detail/min_cost_flow.hpp | origin | repairs the state by three fixed-origin repairs (u -> v for | the origin of a search or a repair +include/netgraph/core/detail/min_cost_flow.hpp | own_i | The solve on an edge subset (the Optimized kernel's replacem | a math symbol of the comment's formula +include/netgraph/core/detail/min_cost_flow.hpp | placed | reroute flow already placed, so the pairs are not the costs | traffic placed (delivered) on a ledger +include/netgraph/core/detail/min_cost_flow.hpp | sensitivity | Optimized uses an edge subset; exact sensitivity repairs a s | sensitivity analysis, or the env var NGRAPH_CORE_SENSITIVITY_THREADS +include/netgraph/core/detail/policy_engine.hpp | sensitivity | CentralizedTE: a capture request for the next solve's final | sensitivity analysis, or the env var NGRAPH_CORE_SENSITIVITY_THREADS +include/netgraph/core/detail/search_detail.hpp | priority | Any source of per-edge priority values (a search's PriorityV | a score's priority order, or a priority queue +include/netgraph/core/detail/tunnel_setup.hpp | volume | T1's setup for the design volume D (< 2^62) over the roster' | the design volume D of the tunnel models +include/netgraph/core/evaluators.hpp | selection | T1 sets up again for the same design under each deletion, T2 | T2's count selection +include/netgraph/core/flow_ledger.hpp | placed | A ledger tracks the flows placed on one graph in two project | traffic placed (delivered) on a ledger +include/netgraph/core/flow_policy.hpp | count | The tunnel count of the tunnel models, per head: `per_head` | the tunnel count +include/netgraph/core/flow_policy.hpp | count | chosen count), design_demand (nullopt: unlimited), design_by | the tunnel count +include/netgraph/core/flow_policy.hpp | count | or an evaluator uses it); `up_to` (T2 only; T1 rejects it): | the tunnel count +include/netgraph/core/flow_policy.hpp | drops | call_edge_drops (this call's drops per edge, ascending EdgeI | losses on links or at a source +include/netgraph/core/flow_policy.hpp | edge_weights | (Capacity). edge_weights (one integer per edge in [0, 2^62), | ShortestPaths.edge_weights, where the field now lives +include/netgraph/core/flow_policy.hpp | edge_weights | edge_weights' length and entries; then the tunnel limit; the | ShortestPaths.edge_weights, where the field now lives +include/netgraph/core/flow_policy.hpp | placed | minimum total cost of the flow by `cost` per unit (more deli | traffic placed (delivered) on a ledger +include/netgraph/core/flow_policy.hpp | volume | controller. A design volume D is split RR(D, H, h) over the | the design volume D of the tunnel models +include/netgraph/core/flow_policy.hpp | weights | allocation | WEIGHTED's member weights +include/netgraph/core/flow_record.hpp | drops | cumulative amount submitted to this flow before any drops. ` | losses on links or at a source +include/netgraph/core/flow_record.hpp | entry | (T1, T2 and Pinned: one record per entry, the entry identifi | an entry of a program, an array or a CSR list +include/netgraph/core/flow_record.hpp | entry | that route, or kUnreachable if none exists. `entry_id` is th | an entry of a program, an array or a CSR list +include/netgraph/core/forwarding_program.hpp | allocated | One shared hop-by-hop program on a supplied DAG of `graph`: | allocated memory, storage or amounts +include/netgraph/core/forwarding_program.hpp | planned | planned_bandwidth: T2's planned bandwidth u (metadata, | T2's planned bandwidth +include/netgraph/core/forwarding_program.hpp | weights | Equal (absent) or Weighted, whose weights come from `weight_ | WEIGHTED's member weights +include/netgraph/core/forwarding_program.hpp | weights | The captured source weights (roster source, saved supply) in | WEIGHTED's member weights +include/netgraph/core/forwarding_program.hpp | weights | applies only to PredecessorDAG routes`); allocation Optimize | WEIGHTED's member weights +include/netgraph/core/forwarding_program.hpp | weights | share by highest averages over its entries' weights. Identic | WEIGHTED's member weights +include/netgraph/core/forwarding_program.hpp | weights | the weights' combination; edge_weights' and residual's lengt | WEIGHTED's member weights +include/netgraph/core/forwarding_program.hpp | weights | tunnel included) or captured source weights (source_weights( | WEIGHTED's member weights +include/netgraph/core/graph.hpp | cost | (source, cost, destination, input). Node u's out-edges are | an edge's or a path's cost (Path.cost is the current name) +include/netgraph/core/graph.hpp | cost | Construction uses N nodes, E edges and K distinct costs. A c | an edge's or a path's cost (Path.cost is the current name) +include/netgraph/core/graph.hpp | cost | Maximum edge cost and greatest common divisor of all edge co | an edge's or a path's cost (Path.cost is the current name) +include/netgraph/core/graph.hpp | cost | Reverse CSR lists v's in-edges in (cost, source, input) orde | an edge's or a path's cost (Path.cost is the current name) +include/netgraph/core/graph.hpp | cost | [0, num_nodes), then the capacity and cost sums below 2^62, | an edge's or a path's cost (Path.cost is the current name) +include/netgraph/core/graph.hpp | cost | [outgoing_offsets()[u], outgoing_offsets()[u + 1]), ordered | an edge's or a path's cost (Path.cost is the current name) +include/netgraph/core/graph.hpp | cost | allocation. The source retains its resolution, has uid, node | an edge's or a path's cost (Path.cost is the current name) +include/netgraph/core/graph.hpp | cost | cost GCD zero, exposes empty edge arrays, and exposes one ze | an edge's or a path's cost (Path.cost is the current name) +include/netgraph/core/graph.hpp | cost | costs and 8E + 8 x 65,536 examined slots; otherwise sort all | an edge's or a path's cost (Path.cost is the current name) +include/netgraph/core/graph.hpp | cost | destination, cost rank, source give EdgeId order; cost rank, | an edge's or a path's cost (Path.cost is the current name) +include/netgraph/core/graph.hpp | cost | or negative costs (costs are positive); the remaining bounds | an edge's or a path's cost (Path.cost is the current name) +include/netgraph/core/graph.hpp | cost | reaches 2^62 reports that sum, the capacity sum before the c | an edge's or a path's cost (Path.cost is the current name) +include/netgraph/core/graph.hpp | cost | the sorted distinct costs. Stable counting passes group by e | an edge's or a path's cost (Path.cost is the current name) +include/netgraph/core/graph.hpp | cost | zero-filled offset arrays are needed. Rank costs through a h | an edge's or a path's cost (Path.cost is the current name) +include/netgraph/core/options.hpp | g | g divides the denominator (< 2^63), so g < 2^63 and the quot | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) +include/netgraph/core/route_structures.hpp | Route | Route structures: the immutable predecessor DAG and the expl | a route or routes (a heading such as 'Route structures' or 'Routes') +include/netgraph/core/route_structures.hpp | Route | means the same graph and CSR. Route APIs take PredecessorDAG | a route or routes (a heading such as 'Route structures' or 'Routes') +include/netgraph/core/route_structures.hpp | offsets | with at least one entry, ascending, and their offsets), neve | CSR offsets +include/netgraph/core/route_structures.hpp | via | (parent, child), no duplicate (child, via edge), acyclic; wi | the via edge of a DAG entry +include/netgraph/core/route_structures.hpp | via | Entries per node have strictly ascending via EdgeId, giving | the via edge of a DAG entry +include/netgraph/core/route_structures.hpp | via | ascending via EdgeId. | the via edge of a DAG entry +include/netgraph/core/route_structures.hpp | via | len(parents) == len(via_edges); then every parent and via ed | the via edge of a DAG entry +netgraph_core | Route | - Route choice and placement settings: ``RouteTieBreak``, `` | a route or routes (a heading such as 'Route structures' or 'Routes') +netgraph_core | Route | - Route structures: ``PredecessorDAG``, ``Path``. | a route or routes (a heading such as 'Route structures' or 'Routes') +netgraph_core | placed | - The ledger of placed traffic: ``FlowLedger`` and its ``Flo | traffic placed (delivered) on a ledger +src/centralized_te_tunnels.cpp | Route | Routes at u: count vectors x with x[e] <= b[e] = min(K, floo | a route or routes (a heading such as 'Route structures' or 'Routes') +src/distributed_te.cpp | volume | The design volume D is split RR(D, H, i) over the heads and | the design volume D of the tunnel models +src/evaluators.cpp | allocated | Everything a worker needs (the result slots, the private cac | allocated memory, storage or amounts +src/evaluators.cpp | placed | reaches an allowed destination (nothing is placed). | traffic placed (delivered) on a ledger +src/evaluators.cpp | priority | reachable from it, then selected on the priority values of t | a score's priority order, or a priority queue +src/evaluators.cpp | sensitivity | ShortestPaths sensitivity: the edges of the full static supp | sensitivity analysis, or the env var NGRAPH_CORE_SENSITIVITY_THREADS +src/flow_policy.cpp | volume | The design volume of a tunnel model's call: the explicit des | the design volume D of the tunnel models +src/forwarding_program.cpp | Route | Routes: the ordered heads, each entry's kind and route (a tu | a route or routes (a heading such as 'Route structures' or 'Routes') +src/forwarding_program.cpp | placed | A stable counting sort by slot: counted at slot + 2, summed, | traffic placed (delivered) on a ledger +src/min_cost_flow.cpp | f_e | Delete e = (u, v), with flow f_e > 0, from a copy and run th | a math symbol of the comment's formula +src/min_cost_flow.cpp | f_e | origin and target and that all-vertex update before Dinic ph | a math symbol of the comment's formula +src/min_cost_flow.cpp | f_e | u to v; call the amount moved m. If r = f_e - m > 0, move r | a math symbol of the comment's formula +src/min_cost_flow.cpp | origin | One fixed-origin repair of the deletion re-solve: tiers from | repair()'s parameter `origin`, or a repair's fixed origin +src/min_cost_flow.cpp | origin | last search (from the same origin, nothing changed since). R | repair()'s parameter `origin`, or a repair's fixed origin +src/min_cost_flow.cpp | origin | origin and target and that all-vertex update before Dinic ph | repair()'s parameter `origin`, or a repair's fixed origin +src/min_cost_flow.cpp | priority | Monotone priority queue for Dijkstra on non-negative integer | a score's priority order, or a priority queue +src/route_kernels.cpp | d_i | w_i / d_i > w_j / d_j, ties by the lower index: the next uni | a math symbol of the comment's formula +src/route_kernels.cpp | d_i | w_i/d_i and w_j/d_j through w_i*d_j and w_j*d_i (operands < | a math symbol of the comment's formula +src/route_kernels.cpp | d_j | w_i / d_i > w_j / d_j, ties by the lower index: the next uni | a math symbol of the comment's formula +src/route_kernels.cpp | d_j | w_i/d_i and w_j/d_j through w_i*d_j and w_j*d_i (operands < | a math symbol of the comment's formula +src/route_kernels.cpp | w_i | w_i / d_i > w_j / d_j, ties by the lower index: the next uni | a math symbol of the comment's formula +src/route_kernels.cpp | w_i | w_i/d_i and w_j/d_j through w_i*d_j and w_j*d_i (operands < | a math symbol of the comment's formula +src/route_kernels.cpp | w_j | w_i / d_i > w_j / d_j, ties by the lower index: the next uni | a math symbol of the comment's formula +src/route_kernels.cpp | w_j | w_i/d_i and w_j/d_j through w_i*d_j and w_j*d_i (operands < | a math symbol of the comment's formula +src/search.cpp | priority | (its bottleneck), capped by `cap` for a KSP prefix; call thi | the member `priority` (a PriorityReader) and its values +src/search.cpp | priority | the minimum priority along the walk (prio given) | the member `priority` (a PriorityReader) and its values +src/search.cpp | selection | transitions (Expand: the banned edges; Collapse: every edge | T2's count selection +tests/cpp/centralized_te_tunnels_tests.cpp | selection | Up to N: the unpruned selection over the EXACT(k) programs a | T2's count selection +tests/cpp/centralized_te_tunnels_tests.cpp | selection | sizing, the objectives and the canonical tie, count selectio | T2's count selection +tests/cpp/centralized_te_tunnels_tests.cpp | selection | the remainder bound 0 <= F - K U < K; "up to" against an unp | T2's count selection +tests/cpp/contract_examples_tests.cpp | Route | Routes over abstract links: each abstract link e of capacity | a route or routes (a heading such as 'Route structures' or 'Routes') +tests/cpp/contract_examples_tests.cpp | placed | zero call placed first: a zero offer skips no validation). | traffic placed (delivered) on a ledger +tests/cpp/contract_examples_tests.cpp | selection | With a dead head the count-selection scores (its supply budg | T2's count selection +tests/cpp/distributed_te_tests.cpp | Stretch | A-X8-Stretch-exact: c0 = 5 and the factor exactly 6/5, so th | the worked example ids A-X8-Stretch-* (labels of the examples) +tests/cpp/distributed_te_tests.cpp | Stretch | equality; A-X8-Stretch-cost7: at cost 7 it exceeds the ceili | the worked example ids A-X8-Stretch-* (labels of the examples) +tests/cpp/distributed_te_tests.cpp | g | PVIEW (e0 cap 10, e1 cap 8) with FlowLedger(g, reservation_b | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) +tests/cpp/distributed_te_tests.cpp | priority | Holds do not police and have no priority. ONE10: a ShortestP | a score's priority order, or a priority queue +tests/cpp/fault_injection.hpp | g | fresh ledger of g (third parties, the policy and its earlier | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) +tests/cpp/flow_ledger_fault_tests.cpp | allocated | not vacuous: the new baseline is allocated | allocated memory, storage or amounts +tests/cpp/flow_policy_fault_tests.cpp | g | The static Eligibility of g without the edge at input positi | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) +tests/cpp/flow_policy_fault_tests.cpp | placed | The full-offer calls on a policy that has placed (its progra | traffic placed (delivered) on a ledger +tests/cpp/flow_policy_fault_tests.cpp | placed | hit), no placed deletion, and the call succeeds; its failure | traffic placed (delivered) on a ledger +tests/cpp/flow_policy_fault_tests.cpp | selection | selection and objectives redone under every deletion) under | T2's count selection +tests/cpp/flow_policy_tests.cpp | placed | existing routes), whether or not something was placed before | traffic placed (delivered) on a ledger +tests/cpp/flow_policy_tests.cpp | placed | placed: each placed deletion looks up its own fresh Eligibil | traffic placed (delivered) on a ledger +tests/cpp/flow_policy_tests.cpp | volume | The cumulative curve, by the flow certificates' clauses: pos | a curve entry's volume (its amount) +tests/cpp/graph_fault_tests.cpp | allocated | Every allocation of make() fails once: nothing is built and | allocated memory, storage or amounts +tests/cpp/graph_fault_tests.cpp | allocated | With edges every retained array is allocated, so the graph's | allocated memory, storage or amounts +tests/cpp/graph_reference.hpp | Origin | Origin: the earlier src/graph.cpp, identified by its sha256 | the historical earlier constructor this reference reproduces, in its own names +tests/cpp/graph_reference.hpp | capacity_units | capacity_units, cost, resolution) at lines 91-222 and resolu | the historical earlier constructor this reference reproduces, in its own names +tests/cpp/graph_reference.hpp | dst | 6763dcda7a5e7acf4be0195bf896ab68, the function Graph::Graph( | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) +tests/cpp/graph_reference.hpp | dst | Ids: rank in (src, cost, dst, input). | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) +tests/cpp/graph_reference.hpp | edge_src | stored copy): edge_src[in_adj_edge_index[slot]]. | the historical earlier constructor this reference reproduces, in its own names +tests/cpp/graph_reference.hpp | in_adj_edge_index | stored copy): edge_src[in_adj_edge_index[slot]]. | the historical earlier constructor this reference reproduces, in its own names +tests/cpp/graph_reference.hpp | origin | Origin: the earlier src/graph.cpp, identified by its sha256 | the historical earlier constructor this reference reproduces, in its own names +tests/cpp/graph_reference.hpp | src | 6763dcda7a5e7acf4be0195bf896ab68, the function Graph::Graph( | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) +tests/cpp/graph_reference.hpp | src | Ids: rank in (src, cost, dst, input). | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) +tests/cpp/graph_reference.hpp | src | Reverse CSR in (cost, src, input) order. | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) +tests/cpp/min_cost_flow_deletion_fault_tests.cpp | allocated | A failed copy or resolver construction leaves nothing constr | allocated memory, storage or amounts +tests/cpp/min_cost_flow_deletion_fault_tests.cpp | allocated | The same solve without a capture, its view allocated alike: | allocated memory, storage or amounts +tests/cpp/min_cost_flow_tests.cpp | allocated | allocated. | allocated memory, storage or amounts +tests/cpp/min_cost_flow_tests.cpp | placed | placed outside [0, cap]: above the cap, and negative without | the certificate clause 'placed outside [0, cap]' (test_utils.hpp) +tests/cpp/min_cost_flow_tests.cpp | placed | two clauses that prove it fail and nothing else does (the cu | traffic placed (delivered) on a ledger +tests/cpp/min_cost_flow_tests.cpp | volume | The curve-shape clauses, each the only failure in both branc | a curve entry's volume (its amount) +tests/cpp/program_tests.cpp | dst | Every path from a head to dst (ids of g; destinations are te | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) +tests/cpp/program_tests.cpp | g | Every path from a head to dst (ids of g; destinations are te | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) +tests/cpp/route_kernels_tests.cpp | a_i | Boundary property: every selected quotient w_i / a_i outrank | a math symbol of the comment's formula +tests/cpp/route_kernels_tests.cpp | a_j | w_j / (a_j + 1) (ties by the lower index). | a math symbol of the comment's formula +tests/cpp/route_kernels_tests.cpp | placed | edges, one or two destinations), each placed in three steps | traffic placed (delivered) on a ledger +tests/cpp/route_kernels_tests.cpp | placed | so all 6 are placed. | traffic placed (delivered) on a ledger +tests/cpp/route_kernels_tests.cpp | src | independent of the library: `total` enters at node `src`; no | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) +tests/cpp/route_kernels_tests.cpp | src | on some walk from src to the destination set that leaves no | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) +tests/cpp/route_kernels_tests.cpp | src | residual, the offer enters at `src` (+inf: each arc out of ` | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) +tests/cpp/route_kernels_tests.cpp | src | terminal), ascending; forward from src and backward from the | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) +tests/cpp/route_kernels_tests.cpp | volume | The curve's shape, each the only failure: an entry of volume | a curve entry's volume (its amount) +tests/cpp/route_kernels_tests.cpp | volume | last volume raised breaks its total; its first cost raised b | a curve entry's volume (its amount) +tests/cpp/route_kernels_tests.cpp | w_i | Boundary property: every selected quotient w_i / a_i outrank | a math symbol of the comment's formula +tests/cpp/route_kernels_tests.cpp | w_j | w_j / (a_j + 1) (ties by the lower index). | a math symbol of the comment's formula +tests/cpp/search_reference.hpp | priority | A walk's bottleneck: its lowest priority value (cmp order). | a score's priority order, or a priority queue +tests/cpp/search_reference.hpp | priority | An exact priority: residual / capacity as a rational, or an | a score's priority order, or a priority queue +tests/cpp/search_tests.cpp | priority | cost-2 prefix 0->1->2 with bottleneck 10, then a cost-1 edge | a score's priority order, or a priority queue +tests/cpp/search_tests.cpp | src | in walk order from src. | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) +tests/cpp/search_tests.cpp | src | static search from src (no residual: HIGHER_AVAILABLE_CAPACI | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) +tests/cpp/shortest_path_cache_tests.cpp | placed | placed amount and every output (on this symmetric fabric the | traffic placed (delivered) on a ledger +tests/cpp/shortest_paths_creation_tests.cpp | priority | residual priority views, in Search.InternalEntriesMatchThePu | a score's priority order, or a priority queue +tests/cpp/test_utils.hpp | elig | The sorted, distinct nodes of `set` that `elig` allows (all | the local or parameter `elig` of this file's code (a shorthand kept as an ordinary local) +tests/cpp/test_utils.hpp | g | Every EdgeId of g, ascending. | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) +tests/cpp/test_utils.hpp | g | The DAG of every edge of g. | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) +tests/cpp/test_utils.hpp | src | Every simple path from `src` that ends at the first destinat | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) +tests/cpp/test_utils.hpp | volume | backward segment (a payload entry of volume 0 or less, which | a curve entry's volume (its amount) +tests/cpp/test_utils.hpp | volume | curve's total equals the delivered value and its moment (the | a curve entry's volume (its amount) +tests/cpp/test_utils.hpp | volume | route_kernels_tests.cpp and the CentralizedTE policy's cumul | a curve entry's volume (its amount) +tests/cpp/zero_capacity_tests.cpp | g | One placement on a fresh ledger of g. | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) +tests/cpp/zero_capacity_tests.cpp | g | T1 with N tunnels per head: one replace(offer, design) on a | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) +tests/py/test_centralized_te_tunnels.py | dst | id: (rows, heads, dst, L, D, chosen count, routes, lossless | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) +tests/py/test_centralized_te_tunnels.py | dst | id: (rows, heads, dst, N, D, free capacity or None, prefer_h | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) +tests/py/test_centralized_te_tunnels.py | selection | count selection, operations, programs and replays, records, | T2's count selection +tests/py/test_configuration.py | placed | The policy is built, and a zero call placed, only when the m | traffic placed (delivered) on a ledger +tests/py/test_contract_examples.py | Route | Routes of link indices carrying their offers. Each demand of | a route or routes (a heading such as 'Route structures' or 'Routes') +tests/py/test_distributed_te.py | Stretch | A-X8-Stretch-cost7: a cost-7 path exceeds the ceiling. | the worked example ids A-X8-Stretch-* (labels of the examples) +tests/py/test_distributed_te.py | Stretch | A-X8-Stretch-exact / -cost7: links of costs 5 (capacity 0) a | the worked example ids A-X8-Stretch-* (labels of the examples) +tests/py/test_distributed_te.py | Stretch | A-X8-Stretch-exact: 1.2 is exactly 6/5, so c0 = 5 admits the | the worked example ids A-X8-Stretch-* (labels of the examples) +tests/py/test_distributed_te.py | dst | id: (rows, heads, dst, D, N, routing keywords, requests, rou | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) +tests/py/test_edge_amounts.py | placed | left is not used: its head stays unreached), the number of p | traffic placed (delivered) on a ledger +tests/py/test_min_cost_flow.py | placed | Underfill: placed 1 is certified for cap 1 and an early stop | the private solver's placed amount (its flow value), as the certificate clauses name it +tests/py/test_min_cost_flow.py | placed | a lowered placed (which also breaks the value and the curve | the private solver's placed amount (its flow value), as the certificate clauses name it +tests/py/test_min_cost_flow.py | placed | placed outside [0, cap]: above the cap, and negative without | the private solver's placed amount (its flow value), as the certificate clauses name it +tests/py/test_min_cost_flow.py | volume | Every cost times a factor: the curve's costs and the potenti | a curve entry's volume (its amount) +tests/py/test_min_cost_flow.py | volume | The curve-shape clauses, each the only failure: an entry of | a curve entry's volume (its amount) +tests/py/test_native_allocation.py | allocated | negative native live balance: it frees the old baseline and | allocated memory, storage or amounts +tests/py/test_native_allocation.py | allocated | raises MemoryError, never aborts, leaves nothing it allocate | allocated memory, storage or amounts +tests/py/test_native_allocation.py | g | A model's program on g (a CentralizedTE optimized one by def | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) +tests/py/test_native_allocation.py | g | configuration is cfg_of(g), after a `prepare(2)` in the same | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) +tests/py/test_native_allocation.py | g | make_owner(g) builds the object that holds it, read(owner) r | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) +tests/py/test_native_allocation.py | g | reference: call(m, g) gives the call of the m-th make() (m = | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) +tests/py/test_programs.py | bundle | Pinned takes a program: no bundles keyword, a list is not a | the retired `bundles` keyword the test checks Pinned refuses +tests/py/test_programs.py | dst | Every path (EdgeIds) from src to dst over the DAG rows. | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) +tests/py/test_programs.py | src | Every path (EdgeIds) from src to dst over the DAG rows. | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) +tests/py/test_public_surface.py | bundle | FlowPolicy's usable-bundle count and Pinned's bundle list (P | the comment of the retired-members list, naming the members the test checks are gone +tests/py/test_removed_names.py | allocated | (`record-bundle`), also after a dot (`ledger.allocated()`; a | the rule's own text, naming removed words as its examples +tests/py/test_removed_names.py | allocated | than 16 times across the texts), with the meaning they keep. | the rule's own text, naming removed words as its examples +tests/py/test_removed_names.py | bundle | (`record-bundle`), also after a dot (`ledger.allocated()`; a | the rule's own text, naming removed words as its examples +tests/py/test_removed_names.py | bundle | one-letter name after a letter and a dot: "e.g."), beside a | the rule's own text, naming removed words as its examples +tests/py/test_removed_names.py | capacity_units | (`edge_capacity_units` holds `capacity_units`). Its reviewed | the rule's own text, naming removed words as its examples +tests/py/test_removed_names.py | dst | (`src/dst`). Every remaining use is one row of removed_names | the rule's own text, naming removed words as its examples +tests/py/test_removed_names.py | dst | line before its words are read, so "src/flow_policy.cpp" nam | the rule's own text, naming removed words as its examples +tests/py/test_removed_names.py | placed | A word is the name or its plural, capitalized too (a sentenc | the rule's own text, naming removed words as its examples +tests/py/test_removed_names.py | placed | than 16 times across the texts), with the meaning they keep. | the rule's own text, naming removed words as its examples +tests/py/test_removed_names.py | src | (`src/dst`). Every remaining use is one row of removed_names | the rule's own text, naming removed words as its examples +tests/py/test_removed_names.py | src | line before its words are read, so "src/flow_policy.cpp" nam | the rule's own text, naming removed words as its examples +tests/py/test_removed_names.py | volume | volume, ...) is not listed: like any removed name it is stal | the rule's own text, naming removed words as its examples +tests/py/test_shortest_path_cache.py | placed | and no placed deletion. | traffic placed (delivered) on a ledger +tests/py/test_source_allocation.py | dst | Pinned over a program of one split route (the edges' DAG) fr | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) +tests/py/test_source_allocation.py | src | Pinned over a program of one split route (the edges' DAG) fr | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) +tests/py/tunnel_oracle.py | src | Every simple path (EdgeIds in walk order) from src that ends | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) diff --git a/tests/py/origin_oracle.py b/tests/py/source_allocation_oracle.py similarity index 83% rename from tests/py/origin_oracle.py rename to tests/py/source_allocation_oracle.py index 34591a2..2cfb838 100644 --- a/tests/py/origin_oracle.py +++ b/tests/py/source_allocation_oracle.py @@ -1,16 +1,16 @@ -"""Independent references for pooled sources and the origin (docs/semantics.md, section 7). +"""Independent references for pooled sources and the source allocation (docs/semantics.md, section 7). Nothing here calls the extension. ``rr`` and ``ha`` are the round robin and the highest averages -(the latter one unit at a time, with exact cross-products). ``PooledReference`` replays a CostOnly -policy with ``EQUAL_BALANCED`` or ``WEIGHTED`` routing: each roster source's static shortest-path +(the latter one unit at a time, with exact cross-products). ``PooledReference`` replays a ShortestPaths +policy with ``EQUAL`` or ``WEIGHTED`` routing: each roster source's static shortest-path DAG (or canonical path) toward the destinations, their union, one split per router, attribution to sources member by member (highest averages over what each source still holds there) and, on an edge that drops, highest averages over what each source brought to it; Lossless admits the largest total whose round robin forwards with no drop, Lossy forwards hop by hop on the free -capacity, and an infinite Lossy request is the first-hop experiment. ``equal_origin`` is the -equal-origin controller: the largest total ``T`` whose round-robin supplies a simple +capacity, and an infinite Lossy request is the first-hop experiment. ``equal_source_allocation`` is the +equal-source-allocation controller: the largest total ``T`` whose round-robin supplies a simple augmenting-path maximum flow can carry, and the minimum cost at those supplies by successive -shortest paths (Bellman-Ford). ``optimized_origin`` is the same without supply caps. +shortest paths (Bellman-Ford). ``optimized_source_allocation`` is the same without supply caps. """ from __future__ import annotations @@ -42,25 +42,30 @@ def ha(x, w): def _graph_lists(g): - src = [int(x) for x in g.edge_src()] - dst = [int(x) for x in g.edge_dst()] - cost = [int(x) for x in g.cost()] - cap = [int(x) for x in g.capacity_units()] + src = [int(x) for x in g.edge_sources()] + dst = [int(x) for x in g.edge_destinations()] + cost = [int(x) for x in g.edge_costs()] + cap = [int(x) for x in g.edge_capacity_units()] return src, dst, cost, cap -def distances_to(n, src, dst, cost, dests, node_ok, edge_ok): +def distances_to(n, src, dst, cost, dests, node_allowed, edge_allowed): """Static distance of every node to the nearest allowed destination over allowed edges (Bellman-Ford; capacity-blind), None where none is reachable.""" dist = [None] * n for d in dests: - if node_ok[d]: + if node_allowed[d]: dist[d] = 0 for _ in range(n): changed = False for e in range(len(src)): u, v = src[e], dst[e] - if not edge_ok[e] or not node_ok[u] or not node_ok[v] or dist[v] is None: + if ( + not edge_allowed[e] + or not node_allowed[u] + or not node_allowed[v] + or dist[v] is None + ): continue if u in dests: continue # a path stops at the first destination it meets @@ -72,12 +77,17 @@ def distances_to(n, src, dst, cost, dests, node_ok, edge_ok): return dist -def tight_edges(src, dst, cost, dests, node_ok, edge_ok, dist): +def tight_edges(src, dst, cost, dests, node_allowed, edge_allowed, dist): """Per node, its tight out-edges in ascending EdgeId (none out of a destination).""" out = {} for e in range(len(src)): u, v = src[e], dst[e] - if not edge_ok[e] or not node_ok[u] or not node_ok[v] or u in dests: + if ( + not edge_allowed[e] + or not node_allowed[u] + or not node_allowed[v] + or u in dests + ): continue if dist[u] is not None and dist[v] is not None and dist[u] == cost[e] + dist[v]: out.setdefault(u, []).append(e) @@ -85,7 +95,7 @@ def tight_edges(src, dst, cost, dests, node_ok, edge_ok, dist): def canonical_next(dst, dests, tight, dist): - """Per node, the next edge of its canonical path under DETERMINISTIC: the lowest cost (tight + """Per node, the next edge of its canonical path under FEWER_HOPS: the lowest cost (tight edges), then the fewest hops, then the lexicographically smallest EdgeId sequence.""" hops = {d: 0 for d in dests} order = sorted((u for u in tight), key=lambda u: dist[u]) @@ -109,7 +119,7 @@ def canonical_next(dst, dests, tight, dist): class PooledReference: - """A CostOnly EQUAL_BALANCED or WEIGHTED policy, replayed call by call.""" + """A ShortestPaths EQUAL or WEIGHTED policy, replayed call by call.""" def __init__( self, @@ -120,21 +130,21 @@ def __init__( lossy, residual, # the ledger's residual before the first call (per EdgeId) multipath=True, - priority="CAPACITY", # W's weights: "CAPACITY" or "RESIDUAL" + weight_basis="CAPACITY", # W's weights: "CAPACITY" or "RESIDUAL_SNAPSHOT" excluded_nodes=(), excluded_edges=(), ): self.n = g.num_nodes() self.src, self.dst, self.cost, self.cap = _graph_lists(g) self.m = len(self.src) - self.node_ok = [v not in set(excluded_nodes) for v in range(self.n)] - self.edge_ok = [e not in set(excluded_edges) for e in range(self.m)] + self.node_allowed = [v not in set(excluded_nodes) for v in range(self.n)] + self.edge_allowed = [e not in set(excluded_edges) for e in range(self.m)] self.dests = set(dests) self.inputs = sorted(set(sources)) self.kernel = kernel self.lossy = lossy self.multipath = multipath - self.priority = priority + self.weight_basis = weight_basis self.free = list(residual) # the free capacity (the ledger's residual) dist = distances_to( self.n, @@ -142,11 +152,11 @@ def __init__( self.dst, self.cost, self.dests, - self.node_ok, - self.edge_ok, + self.node_allowed, + self.edge_allowed, ) self.roster = [ - s for s in self.inputs if self.node_ok[s] and dist[s] is not None + s for s in self.inputs if self.node_allowed[s] and dist[s] is not None ] self.dist = dist self.prepared = False @@ -154,7 +164,7 @@ def __init__( self.infinite = False self.offered = 0 # Lossy: the round-robin position self.records = {} # source -> dict(edges, drops, offered, delivered) - self.source_loss = {s: 0 for s in self.inputs} + self.source_drops = {s: 0 for s in self.inputs} # -- preparation ---------------------------------------------------------------------- def _prepare(self): @@ -163,8 +173,8 @@ def _prepare(self): self.dst, self.cost, self.dests, - self.node_ok, - self.edge_ok, + self.node_allowed, + self.edge_allowed, self.dist, ) if not self.multipath: @@ -186,7 +196,7 @@ def _prepare(self): union_nodes |= seen if self.kernel == "W": weight = [ - (self.cap[e] if self.priority == "CAPACITY" else self.free[e]) + (self.cap[e] if self.weight_basis == "CAPACITY" else self.free[e]) for e in range(self.m) ] # Usable nodes: a destination, or a node with a member of positive weight to a @@ -295,28 +305,28 @@ def _fits(self, total, view): return True # -- the call ------------------------------------------------------------------------- - def place(self, volume): - """One place(volume) call; returns the result fields the tests compare and applies it + def place(self, offer): + """One place(offer) call; returns the result fields the tests compare and applies it to the free capacity and the records.""" - if volume == 0: - return self._result(0, {}, 0, volume) + if offer == 0: + return self._result(0, {}, 0, offer) if not self.roster: - if volume != INF: - self.requested += volume + if offer != INF: + self.requested += offer else: self.infinite = True # Nothing can enter: a finite Lossy offer is lost before it enters (offered = # requested, all of it source loss); every row stays zero. - lost = volume if self.lossy and volume != INF else 0 + lost = offer if self.lossy and offer != INF else 0 self.offered += lost - return self._result(0, {}, lost, volume, empty=True) + return self._result(0, {}, lost, offer, empty=True) if not self.prepared: self._prepare() k = len(self.roster) - if volume == INF: + if offer == INF: self.infinite = True else: - self.requested += volume + self.requested += offer if not self.lossy: own = [0] * self.m admitted = 0 @@ -326,7 +336,7 @@ def place(self, volume): own[e] += x view = [self.free[e] + own[e] for e in range(self.m)] lo = admitted - hi = admitted + volume if volume != INF else admitted + sum(view) + 1 + hi = admitted + offer if offer != INF else admitted + sum(view) + 1 while lo < hi: # the largest total that fits (a prefix) mid = (lo + hi + 1) // 2 if self._fits(mid, view): @@ -339,20 +349,20 @@ def place(self, volume): for i, s in enumerate(self.roster): self.records[s]["edges"] = dict(carried[i]) self.records[s]["delivered"] = delivered[i] - return self._result(lo - admitted, {}, 0, volume) - if volume == INF: + return self._result(lo - admitted, {}, 0, offer) + if offer == INF: carried, dropped, delivered, loss, offered, _ = self._forward( [0] * k, list(self.free), first_hop=True ) else: before = rr(self.offered, k) - self.offered += volume + self.offered += offer after = rr(self.offered, k) inject = [a - b for a, b in zip(after, before, strict=True)] carried, dropped, delivered, loss, offered, _ = self._forward( inject, list(self.free) ) - call_drops = {} + call_edge_drops = {} for i, s in enumerate(self.roster): r = self.records[s] for e, x in carried[i].items(): @@ -360,13 +370,13 @@ def place(self, volume): self.free[e] -= x for e, x in dropped[i].items(): r["drops"][e] = r["drops"].get(e, 0) + x - call_drops[e] = call_drops.get(e, 0) + x + call_edge_drops[e] = call_edge_drops.get(e, 0) + x r["offered"] += offered[i] r["delivered"] += delivered[i] - self.source_loss[s] += loss[i] - return self._result(sum(delivered), call_drops, sum(loss), volume) + self.source_drops[s] += loss[i] + return self._result(sum(delivered), call_edge_drops, sum(loss), offer) - def _result(self, placed, call_drops, call_loss, volume, empty=False): + def _result(self, call_delivered, call_edge_drops, call_loss, offer, empty=False): rows = [] for s in self.inputs: r = self.records.get(s) @@ -381,7 +391,7 @@ def _result(self, placed, call_drops, call_loss, volume, empty=False): r["offered"], r["offered"], r["delivered"], - self.source_loss[s], + self.source_drops[s], dropped, ) ) @@ -395,34 +405,36 @@ def _result(self, placed, call_drops, call_loss, volume, empty=False): requested = INF if self.infinite else self.requested if self.lossy: offered = sum(r["offered"] for r in self.records.values()) - source_loss = sum(self.source_loss.values()) + source_drops = sum(self.source_drops.values()) if empty or not self.roster: - offered, source_loss = self.offered, self.offered + offered, source_drops = self.offered, self.offered admitted, unadmitted = offered, 0 else: - offered, source_loss, admitted = None, 0, delivered + offered, source_drops, admitted = None, 0, delivered unadmitted = None if self.infinite else self.requested - delivered - if volume == 0: + if offer == 0: term = "COMPLETE" elif not self.roster: term = "NO_ROUTE" elif not self.members: term = "NO_ACTIVE_WEIGHT" elif self.lossy: - term = "COMPLETE" if volume != INF else "EXHAUSTED" + term = "COMPLETE" if offer != INF else "EXHAUSTED" else: - term = "COMPLETE" if volume != INF and placed == volume else "EXHAUSTED" + term = ( + "COMPLETE" if offer != INF and call_delivered == offer else "EXHAUSTED" + ) return { - "placed": placed, + "placed": call_delivered, "termination": term, - "call_drops": sorted((e, x) for e, x in call_drops.items() if x), - "call_source_loss": call_loss, + "call_edge_drops": sorted((e, x) for e, x in call_edge_drops.items() if x), + "call_source_drops": call_loss, "requested": requested, "offered": offered, "admitted": admitted, "delivered": delivered, "unadmitted": unadmitted, - "source_loss": source_loss, + "source_drops": source_drops, "drops": sorted((e, x) for e, x in drops.items() if x), "by_source": rows, "records": { @@ -524,7 +536,7 @@ def _min_cost(n, src, dst, cost, view, allowed, sources, caps, dests, value): return total -def equal_origin(g, roster, dests, view, allowed, limit=None): +def equal_source_allocation(g, roster, dests, view, allowed, limit=None): """(T, cost): the largest total up to `limit` whose round-robin supplies over the roster fit (the solve reaches T), and the minimum cost at those supplies.""" n = g.num_nodes() @@ -543,7 +555,7 @@ def equal_origin(g, roster, dests, view, allowed, limit=None): ) -def optimized_origin(g, roster, dests, view, allowed, limit=None): +def optimized_source_allocation(g, roster, dests, view, allowed, limit=None): """(T, cost): the maximum flow up to `limit` from the roster and its minimum cost.""" n = g.num_nodes() src, dst, cost, _ = _graph_lists(g) diff --git a/tests/py/test_tunnels_t2.py b/tests/py/test_centralized_te_tunnels.py similarity index 55% rename from tests/py/test_tunnels_t2.py rename to tests/py/test_centralized_te_tunnels.py index cb05688..c5403a5 100644 --- a/tests/py/test_tunnels_t2.py +++ b/tests/py/test_centralized_te_tunnels.py @@ -1,9 +1,9 @@ -"""T2 (Global(tunnels=Tunnels(N)), Tunnels(L, up_to=True)) through the binding: the contract's T2 -examples and calls (7.1 to 7.9, 8.5), the configuration and call checks, sizing, objectives, +"""T2 (CentralizedTE(tunnel_count=TunnelCount(N)), TunnelCount(L, up_to=True)) through the binding: the worked T2 +examples and calls (docs/semantics.md, "T2: the controller's equal tunnels"), the configuration and call checks, sizing, objectives, count selection, operations, programs and replays, records, flags and terminations, the evaluators, the numeric ranges of T2's sums, zero offers and everything masked, a property test against the independent tunnel_oracle.py, and the Python-allocation sweeps of T2's results. -Expected values are the contract's or derived from it by hand, never taken from a build.""" +Expected values are derived by hand from those rules, never taken from a build.""" from __future__ import annotations @@ -32,26 +32,29 @@ UP, FAILED, BLACKHOLED = S.UP, S.FAILED, S.BLACKHOLED LOSSY = ngc.Admission.LOSSY LOSSLESS = ngc.Admission.LOSSLESS -HEAD = ngc.EdgePriority.HEADROOM def graph(rows, n=None): """A graph whose rows are in EdgeId order (asserted): (u, v, capacity, cost).""" n = n if n is not None else 1 + max(max(u, v) for u, v, _, _ in rows) g = build(n, rows) - assert [int(i) for i in g.input_index()] == list(range(len(rows))) + assert [int(i) for i in g.input_positions()] == list(range(len(rows))) return g -def t2_config(count, admission=None, headroom=False, up_to=False, origin=None): - """A T2 FlowPolicyConfig: Global(tunnels=Tunnels(count, up_to=up_to), - prefer_headroom=headroom), Lossless by default.""" +def t2_config( + count, admission=None, headroom=False, up_to=False, source_allocation=None +): + """A T2 FlowPolicyConfig: CentralizedTE(source_allocation=source_allocation (EQUAL by default), + tunnel_count=TunnelCount(count, up_to=up_to), prefer_headroom=headroom), Lossless by + default.""" return ngc.FlowPolicyConfig( - routing=ngc.Global( - tunnels=ngc.Tunnels(count, up_to=up_to), prefer_headroom=headroom + routing=ngc.CentralizedTE( + source_allocation=source_allocation or ngc.SourceAllocation.EQUAL, + tunnel_count=ngc.TunnelCount(count, up_to=up_to), + prefer_headroom=headroom, ), admission=admission or LOSSLESS, - origin=origin, ) @@ -62,14 +65,18 @@ def policy( n, admission=None, ledger=None, - elig=None, + eligibility=None, headroom=False, up_to=False, - origin=None, + source_allocation=None, ): ledger = ledger if ledger is not None else ngc.FlowLedger(g) return ngc.FlowPolicy( - ledger, s, d, t2_config(n, admission, headroom, up_to, origin), elig + ledger, + s, + d, + t2_config(n, admission, headroom, up_to, source_allocation), + eligibility, ) @@ -87,33 +94,40 @@ def counts(r, m): def rows(r): return [ - (t.index, t.head, t.status, t.assigned, t.delivered, t.dropped) + (t.entry_id, t.head, t.status, t.assigned, t.delivered, t.total_edge_drops) for t in r.by_tunnel ] def source_rows(r): return [ - (s.source, s.offered, s.admitted, s.delivered, s.source_loss, s.dropped) + ( + s.source, + s.offered, + s.admitted, + s.delivered, + s.source_drops, + s.total_edge_drops, + ) for s in r.by_source ] def plan_tuple(p): return ( - p.count, + p.tunnels_per_head, p.design_demand, - p.head_design, - p.reserved_total, - p.live_heads, + p.design_by_head, + p.total_reserved_bandwidth, + p.heads_with_capacity, p.insufficient_resolution, - p.fluid_share, - p.common_share, - p.planned_per_tunnel, - p.planned_total, - p.route_cost, + p.max_fractional_bandwidth_per_tunnel, + p.max_bandwidth_per_tunnel, + p.planned_bandwidth_per_tunnel, + p.total_planned_bandwidth, + p.total_tunnel_cost, p.headroom_penalty, - p.forwarding_bound, + p.max_lossless_offer, ) @@ -143,7 +157,7 @@ def one10(): return graph([(0, 1, 10, 1)]) -# ---------------------------------------------------------------- the contract's examples (X) +# ---------------------------------------------------------------- the worked examples (X) # id: (rows, heads, dst, N, D, free capacity or None, prefer_headroom, expected plan fields, routes, lossy offer, delivery, # source loss). Plan fields: (U, u, fluid, F, planned total, route cost, Phi or None, live heads, indices or None). @@ -197,19 +211,29 @@ def test_contract_examples(eid): p = r.plan U, u, fluid, F, total, cost, phi, live, indices = want assert ( - p.common_share, - p.planned_per_tunnel, - p.fluid_share, - p.forwarding_bound, + p.max_bandwidth_per_tunnel, + p.planned_bandwidth_per_tunnel, + p.max_fractional_bandwidth_per_tunnel, + p.max_lossless_offer, ) == (U, u, fluid, F) - assert (p.planned_total, p.route_cost, p.live_heads) == (total, cost, live) + assert (p.total_planned_bandwidth, p.total_tunnel_cost, p.heads_with_capacity) == ( + total, + cost, + live, + ) if phi is not None: assert p.headroom_penalty == phi assert routes(r) == rts if indices is not None: - assert [t.index for t in r.program.tunnels] == indices - assert all((t.planned, t.weight, t.status) == (u, 1, UP) for t in r.program.tunnels) - assert (r.placed, r.termination) == (F, T.EXHAUSTED) # the unlimited query admits F + assert [t.entry_id for t in r.program.tunnels] == indices + assert all( + (t.planned_bandwidth, t.weight, t.status) == (u, 1, UP) + for t in r.program.tunnels + ) + assert (r.call_delivered, r.termination) == ( + F, + T.EXHAUSTED, + ) # the unlimited query admits F assert p.insufficient_resolution == (U == 0) if offer is None: return @@ -223,7 +247,11 @@ def test_contract_examples(eid): headroom=hr, ) s = ly.replace(offer, design_demand=D) - assert (s.placed, s.call_source_loss, s.termination) == (delivery, loss, T.COMPLETE) + assert (s.call_delivered, s.call_source_drops, s.termination) == ( + delivery, + loss, + T.COMPLETE, + ) assert routes(s) == rts # the offer never changes the layout @@ -245,38 +273,37 @@ def test_up_to_examples(eid): r = policy(g, heads, dst, L, up_to=True, headroom=True).replace( INF if D is None else D ) - assert (r.plan.count, routes(r), r.placed) == (k, rts, delivered) + assert (r.plan.tunnels_per_head, routes(r), r.call_delivered) == (k, rts, delivered) if bounds is None: return # With every head live, F'(k) is EXACT(k)'s bound at U(k) (an unlimited design). for c, b in enumerate(bounds, 1): - assert policy(g, heads, dst, c, headroom=True).replace(INF).placed == b, c + assert ( + policy(g, heads, dst, c, headroom=True).replace(INF).call_delivered == b + ), c -def test_call_of_section_7_9(): - # The contract's runnable call, then its program's fields and the ledger. +def test_g1_call(): + # The G1 call, then its program's fields and the ledger. q = 2.0**-12 g = ngc.Graph( 4, - src=[0, 0, 1, 2], - dst=[1, 2, 3, 3], - capacity_units=ngc.to_units([2, 10, 2, 10], q), - cost=[1, 1, 1, 1], + edge_sources=[0, 0, 1, 2], + edge_destinations=[1, 2, 3, 3], + edge_capacity_units=ngc.to_units([2, 10, 2, 10], q), + edge_costs=[1, 1, 1, 1], resolution=q, ) - te16 = ngc.FlowPolicyConfig( - routing=ngc.Global(tunnels=ngc.Tunnels(16), prefer_headroom=True), - admission=ngc.Admission.LOSSY, - ) + te16 = t2_config(16, ngc.Admission.LOSSY, headroom=True) fg = ngc.FlowLedger(g) p = ngc.FlowPolicy(fg, 0, 3, te16) r = p.replace(49152) assert ( - r.plan.common_share, - r.plan.planned_per_tunnel, - r.plan.forwarding_bound, + r.plan.max_bandwidth_per_tunnel, + r.plan.planned_bandwidth_per_tunnel, + r.plan.max_lossless_offer, ) == (2925, 2925, 46812) - assert r.placed == 47104 + assert r.call_delivered == 47104 assert plan_tuple(r.plan) == ( 16, 49152, @@ -294,25 +321,32 @@ def test_call_of_section_7_9(): ) assert [list(t.edges) for t in r.program.tunnels] == G1_PATHS assert [ - (t.requested, t.reserved, t.planned, t.status, t.weight) + ( + t.requested_bandwidth, + t.reserved_bandwidth, + t.planned_bandwidth, + t.status, + t.weight, + ) for t in r.program.tunnels ] == [(0, 0, 2925, UP, 1)] * 16 assert [t.delivered for t in r.by_tunnel] == [3072] * 2 + [2926] * 10 + [2925] * 4 - assert r.call_drops == [(1, 2048)] + assert r.call_edge_drops == [(1, 2048)] assert r.reservations_changed is False and ( r.routes_changed, r.weights_changed, ) == (True, True) # A plan books nothing. assert fg.reserved().tolist() == [0, 0, 0, 0] - assert all(rec.reserved_edges == [] for rec in p.records()) - assert ngc.Global(tunnels=ngc.Tunnels(256, up_to=True)).tunnels == ngc.Tunnels( - 256, up_to=True - ) + assert all(rec.edge_reservations == [] for rec in p.records()) + assert ngc.CentralizedTE( + source_allocation=ngc.SourceAllocation.EQUAL, + tunnel_count=ngc.TunnelCount(256, up_to=True), + ).tunnel_count == ngc.TunnelCount(256, up_to=True) -def test_failure_replay_of_section_8_5(): - # The replay of 8.5 under the mask, then the same program stale (black holes). +def test_masked_replay_call(): + # The replay under the mask, then the same program stale (black holes). g = graph(G1) p = policy(g, 0, 3, 16, LOSSY, headroom=True) p.replace(49152) @@ -323,11 +357,11 @@ def test_failure_replay_of_section_8_5(): 0, 3, ngc.FlowPolicyConfig(routing=ngc.Pinned(base), admission=LOSSY), - elig=fail, + eligibility=fail, ) r = replay.replace(49152) assert [t.status for t in r.by_tunnel][:3] == [FAILED, FAILED, UP] - assert r.placed == 40960 and r.plan is None + assert r.call_delivered == 40960 and r.plan is None stale = ngc.FlowPolicy( ngc.FlowLedger(g), 0, @@ -338,7 +372,7 @@ def test_failure_replay_of_section_8_5(): ) s = stale.replace(49152) assert [t.status for t in s.by_tunnel] == [BLACKHOLED] * 2 + [UP] * 14 - assert (s.call_drops, s.placed) == ([(1, 2048), (2, 6144)], 40960) + assert (s.call_edge_drops, s.call_delivered) == ([(1, 2048), (2, 6144)], 40960) assert [t.status for t in base.tunnels] == [ UP ] * 16 # the program's own statuses stay @@ -347,125 +381,366 @@ def test_failure_replay_of_section_8_5(): # ---------------------------------------------------------------- validation (V) +SEVERAL = "CentralizedTE with tunnel_count and several sources requires source_allocation=EQUAL" + + +def cte(source_allocation=ngc.SourceAllocation.EQUAL, **fields): + return ngc.CentralizedTE(source_allocation=source_allocation, **fields) + + def test_matrix(): - # T2's row of the matrix and the Global selection rule, in order (the evaluators run the same - # checks). + # T2's row of the matrix, in order (the evaluators run the same checks). CentralizedTE has + # no route choice and no weights: those keywords are no keywords of it. g = twoh(10, 10) fg = ngc.FlowLedger(g) - t2 = ngc.Global(tunnels=ngc.Tunnels(2)) - sel = ngc.PathSelection + t2 = cte(tunnel_count=ngc.TunnelCount(2)) + opt = cte(ngc.SourceAllocation.OPTIMIZED, tunnel_count=ngc.TunnelCount(2)) dag = dag_of(g, [0, 1]) - both = ngc.Global(support=dag, tunnels=ngc.Tunnels(2), prefer_headroom=True) - no_sel = "Global does not accept selection" + both = cte(support=dag, tunnel_count=ngc.TunnelCount(2), prefer_headroom=True) + for kw in ( + {"allocation": ngc.RouteAllocation.EQUAL}, + {"weight_basis": ngc.WeightBasis.CAPACITY}, + {"edge_weights": [1, 1]}, + {"tie_break": ngc.RouteTieBreak.FEWER_HOPS}, + {"multipath": False}, + {"parallel_edges": False}, + ): + with pytest.raises(TypeError): + cte(tunnel_count=ngc.TunnelCount(2), **kw) + for kw in ( + {"placement": ngc.RouteAllocation.EQUAL}, + {"origin": ngc.SourceAllocation.EQUAL}, + ): + with pytest.raises(TypeError): + ngc.FlowPolicyConfig(routing=t2, **kw) cases = [ - (ngc.FlowPolicyConfig(routing=t2, placement=ngc.FlowPlacement.EQUAL_BALANCED), "T2 does not accept placement"), - (ngc.FlowPolicyConfig(routing=t2, weights=ngc.WeightBasis.CAPACITY), "T2 does not accept weights"), - (ngc.FlowPolicyConfig(routing=t2, edge_weights=[1, 1]), "T2 does not accept edge_weights"), - # Every Global rejects any selection (the default and HEADROOM included) before support and - # tunnels, and so before placement; prefer_headroom without tunnels right after them. - (ngc.FlowPolicyConfig(routing=t2, selection=sel()), no_sel), - (ngc.FlowPolicyConfig(routing=t2, selection=sel(priority=HEAD)), no_sel), - (ngc.FlowPolicyConfig(routing=ngc.Global(), selection=sel()), no_sel), - (ngc.FlowPolicyConfig(routing=t2, placement=ngc.FlowPlacement.EQUAL_BALANCED, selection=sel()), no_sel), - (ngc.FlowPolicyConfig(routing=both, selection=sel()), no_sel), - (ngc.FlowPolicyConfig(routing=both), "Global support and tunnels are mutually exclusive"), - (ngc.FlowPolicyConfig(routing=both, placement=ngc.FlowPlacement.EQUAL_BALANCED), - "Global support and tunnels are mutually exclusive"), - (ngc.FlowPolicyConfig(routing=ngc.Global(prefer_headroom=True)), "prefer_headroom requires tunnels"), - (ngc.FlowPolicyConfig(routing=ngc.Global(support=dag, prefer_headroom=True), - placement=ngc.FlowPlacement.EQUAL_BALANCED), - "prefer_headroom requires tunnels"), - (ngc.FlowPolicyConfig(routing=t2, origin=ngc.Origin.OPTIMIZED), "T2 with several sources requires origin=EQUAL"), + # The several-sources rule first, then prefer_headroom without tunnel_count. + (ngc.FlowPolicyConfig(routing=opt), SEVERAL), + (ngc.FlowPolicyConfig(routing=cte(ngc.SourceAllocation.OPTIMIZED, support=dag, + tunnel_count=ngc.TunnelCount(2), prefer_headroom=True), + admission=LOSSY), SEVERAL), + (ngc.FlowPolicyConfig(routing=cte(prefer_headroom=True)), "prefer_headroom requires tunnel_count"), + (ngc.FlowPolicyConfig(routing=cte(support=dag, prefer_headroom=True)), + "prefer_headroom requires tunnel_count"), ] # fmt: skip for cfg, text in cases: with pytest.raises(ValueError, match=exact(text)): ngc.FlowPolicy(fg, [0, 1], 2, cfg) with pytest.raises(ValueError, match=exact(text)): - ngc.capacity(g, [0, 1], 2, ngc.QueryOptions(cfg)) - with pytest.raises(ValueError, match=exact("T2 does not use DagCache")): + ngc.evaluate_demand(g, [0, 1], 2, ngc.EvaluationOptions(cfg)) + with pytest.raises( + ValueError, match=exact("CentralizedTE does not use ShortestPathCache") + ): ngc.FlowPolicy( - fg, [0, 1], 2, ngc.FlowPolicyConfig(routing=t2), cache=ngc.DagCache(g) + fg, + [0, 1], + 2, + ngc.FlowPolicyConfig(routing=t2), + cache=ngc.ShortestPathCache(g), ) # The several-sources rule counts the normalized input sources, before the mask; one source # with OPTIMIZED is accepted (the same calculation). - opt = ngc.FlowPolicyConfig(routing=t2, origin=ngc.Origin.OPTIMIZED) - with pytest.raises( - ValueError, match=exact("T2 with several sources requires origin=EQUAL") - ): - ngc.FlowPolicy(fg, [0, 1], 2, opt, g.eligibility(excluded_nodes=[1])) - assert ngc.FlowPolicy(fg, [0, 0], 2, opt).config.origin == ngc.Origin.OPTIMIZED - # Accepted: both admissions, with and without prefer_headroom; the snapshot keeps no selection. + with pytest.raises(ValueError, match=exact(SEVERAL)): + ngc.FlowPolicy( + fg, + [0, 1], + 2, + ngc.FlowPolicyConfig(routing=opt), + g.eligibility(excluded_nodes=[1]), + ) + one = ngc.FlowPolicy(fg, [0, 0], 2, ngc.FlowPolicyConfig(routing=opt)) + assert one.config.routing.source_allocation == ngc.SourceAllocation.OPTIMIZED + # Accepted: both admissions, with and without prefer_headroom, with and without a support. for adm in (LOSSLESS, LOSSY): for hr in (False, True): ngc.FlowPolicy(fg, [0, 1], 2, t2_config(2, adm, hr)) + ngc.FlowPolicy(fg, [0, 1], 2, ngc.FlowPolicyConfig(routing=both, admission=adm)) got = ngc.FlowPolicy(fg, [0, 1], 2, ngc.FlowPolicyConfig(routing=t2)).config - assert (got.selection, got.origin, got.placement, got.routing.tunnels) == ( - None, - ngc.Origin.EQUAL, - None, - ngc.Tunnels(2), + assert (got.routing.source_allocation, got.routing.tunnel_count) == ( + ngc.SourceAllocation.EQUAL, + ngc.TunnelCount(2), ) - # The arguments of Global itself; prefer_headroom is False by default. + # The arguments of CentralizedTE itself: source_allocation required; prefer_headroom False + # by default. + for bad in ({}, {"source_allocation": None}): + with pytest.raises(TypeError): + ngc.CentralizedTE(**bad) with pytest.raises(TypeError): - ngc.Global(tunnels=2) + cte(tunnel_count=2) with pytest.raises(TypeError): - ngc.Global(tunnels=ngc.Tunnels(2), prefer_headroom="yes") - assert (ngc.Global().tunnels, ngc.Global().prefer_headroom) == (None, False) - assert ngc.Global(prefer_headroom=True).prefer_headroom is True + cte(tunnel_count=ngc.TunnelCount(2), prefer_headroom="yes") + plain = cte() + assert (plain.support, plain.tunnel_count, plain.prefer_headroom) == ( + None, + None, + False, + ) + assert cte(prefer_headroom=True).prefer_headroom is True + eq = "source_allocation=SourceAllocation.EQUAL" + assert ( + repr(cte(tunnel_count=ngc.TunnelCount(256, up_to=True))) + == f"CentralizedTE({eq}, tunnel_count=TunnelCount(256, up_to=True))" + ) assert ( - repr(ngc.Global(tunnels=ngc.Tunnels(256, up_to=True))) - == "Global(tunnels=Tunnels(256, up_to=True))" + repr(cte(tunnel_count=ngc.TunnelCount(16), prefer_headroom=True)) + == f"CentralizedTE({eq}, tunnel_count=TunnelCount(16), prefer_headroom=True)" ) assert ( - repr(ngc.Global(tunnels=ngc.Tunnels(16), prefer_headroom=True)) - == "Global(tunnels=Tunnels(16), prefer_headroom=True)" + repr(cte(prefer_headroom=True)) == f"CentralizedTE({eq}, prefer_headroom=True)" + ) + assert repr(cte()) == f"CentralizedTE({eq})" + assert ( + repr(cte(ngc.SourceAllocation.OPTIMIZED)) + == "CentralizedTE(source_allocation=SourceAllocation.OPTIMIZED)" ) - assert repr(ngc.Global(prefer_headroom=True)) == "Global(prefer_headroom=True)" - assert repr(ngc.Global()) == "Global()" # Every set field, the invalid support-and-tunnels combination included. dag = dag_of(twoh(10, 10), [0, 1]) - assert repr(ngc.Global(support=dag)) == "Global(support=...)" + assert repr(cte(support=dag)) == f"CentralizedTE({eq}, support=...)" assert ( - repr(ngc.Global(support=dag, tunnels=ngc.Tunnels(2))) - == "Global(support=..., tunnels=Tunnels(2))" + repr(cte(support=dag, tunnel_count=ngc.TunnelCount(2))) + == f"CentralizedTE({eq}, support=..., tunnel_count=TunnelCount(2))" ) assert ( - repr(ngc.Global(support=dag, prefer_headroom=True)) - == "Global(support=..., prefer_headroom=True)" + repr(cte(support=dag, prefer_headroom=True)) + == f"CentralizedTE({eq}, support=..., prefer_headroom=True)" ) -def test_global_selection_and_prefer_headroom_texts(): - # A Global with a selection: the contract's seven cases in its order, at a policy and at an - # evaluator. Global with any selection first; then support and tunnels; then prefer_headroom - # without tunnels. +def test_global_prefer_headroom_texts(): + # CentralizedTE's own cases in the model matrix's order, at a policy and at an evaluator: + # prefer_headroom without tunnel_count is refused, with or without a support; support and + # tunnels together are T2 on the support. g = twoh(10, 10) fg = ngc.FlowLedger(g) dag = dag_of(g, [0, 1]) - t2 = ngc.Tunnels(2) + t2 = ngc.TunnelCount(2) cases = [ - (dict(tunnels=t2), ngc.PathSelection(), "Global does not accept selection"), - (dict(tunnels=t2), ngc.PathSelection(priority=HEAD), "Global does not accept selection"), - ({}, ngc.PathSelection(), "Global does not accept selection"), - (dict(prefer_headroom=True), None, "prefer_headroom requires tunnels"), - (dict(prefer_headroom=True, support=dag, tunnels=t2), None, - "Global support and tunnels are mutually exclusive"), - (dict(prefer_headroom=True, tunnels=t2), None, None), - ({}, None, None), + (dict(prefer_headroom=True), "prefer_headroom requires tunnel_count"), + (dict(prefer_headroom=True, support=dag), "prefer_headroom requires tunnel_count"), + (dict(prefer_headroom=True, support=dag, tunnel_count=t2), None), + (dict(prefer_headroom=True, tunnel_count=t2), None), + ({}, None), ] # fmt: skip - for kwargs, sel, text in cases: - cfg = ngc.FlowPolicyConfig(routing=ngc.Global(**kwargs), selection=sel) + for kwargs, text in cases: + cfg = ngc.FlowPolicyConfig(routing=cte(**kwargs)) if text is None: ngc.FlowPolicy(fg, 0, 2, cfg) - ngc.capacity(g, 0, 2, ngc.QueryOptions(cfg)) + ngc.evaluate_demand(g, 0, 2, ngc.EvaluationOptions(cfg)) continue with pytest.raises(ValueError, match=exact(text)): ngc.FlowPolicy(fg, 0, 2, cfg) with pytest.raises(ValueError, match=exact(text)): - ngc.capacity(g, 0, 2, ngc.QueryOptions(cfg)) + ngc.evaluate_demand(g, 0, 2, ngc.EvaluationOptions(cfg)) # No old spelling of the objective is accepted. with pytest.raises(TypeError): - ngc.Global(tunnels=t2, priority=HEAD) + cte(tunnel_count=t2, priority=ngc.RouteTieBreak.HIGHER_HEADROOM) + + +# ---------------------------------------------------------------- a supplied support + + +SUPPORTED = [(0, 1, 6, 1), (0, 1, 6, 1), (0, 1, 100, 2)] + + +@pytest.mark.parametrize( + ("excluded", "want"), + [ + # T2-support: the support holds links 0 and 1; U = 6, one tunnel on each, the third link + # never used, the lossless maximum 12. + (None, (6, [1, 1, 0], [[0], [1]], [0, 1], 12)), + # T2-support-masked: the mask also excludes link 1: U = 3, both tunnels on link 0. + ([1], (3, [2, 0, 0], [[0], [0]], [0, 1], 6)), + # T2-support-mask-outside: a mask outside the support changes nothing. + ([2], (6, [1, 1, 0], [[0], [1]], [0, 1], 12)), + ], +) +def test_support_examples(excluded, want): + g = graph(SUPPORTED, 2) + cfg = ngc.FlowPolicyConfig( + routing=cte(support=dag_of(g, [0, 1]), tunnel_count=ngc.TunnelCount(2)) + ) + mask = None if excluded is None else g.eligibility(excluded_edges=excluded) + r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg, mask).replace(INF) + got = ( + r.plan.max_bandwidth_per_tunnel, + counts(r, 3), + routes(r), + [t.entry_id for t in r.program.tunnels], + r.plan.max_lossless_offer, + ) + assert got == want + assert r.call_delivered == want[4] + + +def on_sup(g, support=(0, 1), admission=LOSSLESS, headroom=False): + return ngc.FlowPolicyConfig( + routing=cte( + support=dag_of(g, list(support)), + tunnel_count=ngc.TunnelCount(2), + prefer_headroom=headroom, + ), + admission=admission, + ) + + +def test_support_equals_mask(): + # T2 on {e0, e1} against T2 with a mask excluding e2: the same plan, tunnels, rows, deliveries, + # drops and flags, Lossless and Lossy at offers 6, 12 and 13. + g = graph(SUPPORTED, 2) + outside = g.eligibility(excluded_edges=[2]) + for admission in (LOSSLESS, LOSSY): + for offer in (6, 12, 13): + got = [] + for cfg, mask in ( + (on_sup(g, admission=admission), None), + (t2_config(2, admission), outside), + ): + p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg, mask) + r = p.replace(offer) + got.append( + ( + plan_tuple(r.plan), + routes(r), + [t.planned_bandwidth for t in r.program.tunnels], + rows(r), + source_rows(r), + r.call_delivered, + r.call_edge_drops, + r.termination, + (r.routes_changed, r.weights_changed, r.reservations_changed), + ) + ) + assert got[0] == got[1], (admission, offer) + + +def test_support_edge_failures(): + # Lossless, no offer: the baseline 12; deleting e0 or e1 halves it, deleting e2 (outside the + # support) changes nothing. + g = graph(SUPPORTED, 2) + for workers in (1, 2): + s = ngc.evaluate_edge_failures( + g, 0, 1, ngc.EvaluationOptions(on_sup(g)), workers + ) + assert s.baseline.call_delivered == 12 + assert [(x.edge, x.delivery_reduction) for x in s.entries] == [ + (0, 6), + (1, 6), + (2, 0), + ] + + +def test_support_empty_and_masked(): + # An empty support: no head reaches a destination (NO_ROUTE, the Lossy offer lost at the + # source; a zero call COMPLETE); a mask excluding every edge does the same. + g = graph(SUPPORTED, 2) + empty = on_sup(g, support=(), admission=LOSSY) + r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, empty).replace(2) + assert (r.termination, r.call_source_drops, r.call_delivered) == (T.NO_ROUTE, 2, 0) + r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, empty).replace(0) + assert (r.termination, r.call_delivered) == (T.COMPLETE, 0) + every = g.eligibility(excluded_edges=[0, 1, 2]) + r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, on_sup(g), every).replace(2) + assert (r.termination, r.call_delivered) == (T.NO_ROUTE, 0) + + +def test_support_headroom(): + # prefer_headroom on the support, N = 2, design 2: U = 6, u = 1; the second tunnel takes e1 (a + # second slot on e0 costs more); the penalty is 2 floor(2^32 1 / 6). + g = graph(SUPPORTED, 2) + r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, on_sup(g, headroom=True)).replace( + INF, design_demand=2 + ) + assert (r.plan.max_bandwidth_per_tunnel, r.plan.planned_bandwidth_per_tunnel) == ( + 6, + 1, + ) + assert counts(r, 3) == [1, 1, 0] + assert r.plan.headroom_penalty == 2 * (2**32 // 6) == 1431655764 + + +def _composed(g, support_edges, mask_nodes, mask_edges): + """The policy's mask with every edge outside the support excluded too.""" + outside = [e for e in range(g.num_edges()) if e not in set(support_edges)] + return g.eligibility( + excluded_nodes=mask_nodes, excluded_edges=sorted(set(mask_edges) | set(outside)) + ) + + +@pytest.mark.parametrize("seed", range(80)) +def test_support_is_the_composed_mask(seed): + # T2 on a support gives what the same T2 configuration gives with the support's edges composed + # into the mask: the plan, the routes, the rows, the deliveries, at a policy (replace, then a + # forward) and at the three evaluators. + rng = random.Random(seed) + n = rng.randint(3, 6) + # Forward links only: every support is a DAG. + rows_ = [] + for _ in range(rng.randint(n, 3 * n)): + u, v = sorted(rng.sample(range(n), 2)) + rows_.append((u, v, rng.choice([0, 1, 3, 6, 10]), rng.randint(1, 4))) + g = build(n, rows_) + m = g.num_edges() + support_edges = sorted(rng.sample(range(m), rng.randint(1, m))) + mask_nodes = [v for v in range(1, n - 1) if rng.random() < 0.15] + mask_edges = [e for e in range(m) if rng.random() < 0.15] + mask = g.eligibility(excluded_nodes=mask_nodes, excluded_edges=mask_edges) + composed = _composed(g, support_edges, mask_nodes, mask_edges) + sources = sorted(rng.sample(range(n - 1), rng.randint(1, min(2, n - 1)))) + count = ngc.TunnelCount(rng.randint(1, 3), up_to=rng.random() < 0.3) + headroom = rng.random() < 0.5 + admission = rng.choice([LOSSLESS, LOSSY]) + on_support = ngc.FlowPolicyConfig( + routing=cte( + support=dag_of(g, support_edges), + tunnel_count=count, + prefer_headroom=headroom, + ), + admission=admission, + ) + plain_t2 = ngc.FlowPolicyConfig( + routing=cte(tunnel_count=count, prefer_headroom=headroom), admission=admission + ) + offer = rng.choice([0, 3, 11, 40]) + design = rng.choice([None, 0, 5, 30]) + + def call(cfg, eligibility): + p = ngc.FlowPolicy(ngc.FlowLedger(g), sources, n - 1, cfg, eligibility) + r = p.replace(offer, design_demand=design) + f = p.forward(offer + 1) + return ( + plan_tuple(r.plan), + routes(r), + rows(r), + source_rows(r), + r.call_delivered, + r.call_edge_drops, + r.call_source_drops, + rows(f), + f.call_delivered, + ) + + assert call(on_support, mask) == call(plain_t2, composed), seed + options = dict(offer=offer if admission == LOSSY else None, design_demand=design) + a = ngc.EvaluationOptions(on_support, eligibility=mask, **options) + b = ngc.EvaluationOptions(plain_t2, eligibility=composed, **options) + ra, rb = ( + ngc.evaluate_demand(g, sources, n - 1, a), + ngc.evaluate_demand(g, sources, n - 1, b), + ) + assert (plan_tuple(ra.plan), routes(ra), ra.call_delivered) == ( + plan_tuple(rb.plan), + routes(rb), + rb.call_delivered, + ), seed + (pa,) = ngc.evaluate_pairs(g, [(sources, n - 1)], a) + assert pa.call_delivered == ra.call_delivered + # The deletions of the support's allowed edges match; a deletion outside the support changes + # nothing. + sa = ngc.evaluate_edge_failures(g, sources, n - 1, a, 1) + sb = ngc.evaluate_edge_failures(g, sources, n - 1, b, 1) + reduction_b = {x.edge: x.delivery_reduction for x in sb.entries} + for x in sa.entries: + assert x.delivery_reduction == reduction_b.get(x.edge, 0), (seed, x.edge) @pytest.mark.parametrize("on", [False, True]) @@ -478,7 +753,12 @@ def test_prefer_headroom_example(on): g = graph([(0, 1, 10, 1), (0, 1, 10, 1)]) r = policy(g, 0, 1, 2, LOSSY, headroom=on).replace(12, design_demand=2) p = r.plan - assert (p.common_share, p.planned_per_tunnel, p.planned_total, p.route_cost) == ( + assert ( + p.max_bandwidth_per_tunnel, + p.planned_bandwidth_per_tunnel, + p.total_planned_bandwidth, + p.total_tunnel_cost, + ) == ( 10, 1, 2, @@ -486,7 +766,7 @@ def test_prefer_headroom_example(on): ) assert routes(r) == ([[0], [1]] if on else [[0], [0]]) assert p.headroom_penalty == (858993458 if on else None) - assert (p.forwarding_bound, r.placed) == ((20, 12) if on else (10, 10)) + assert (p.max_lossless_offer, r.call_delivered) == ((20, 12) if on else (10, 10)) def test_count_range_and_tunnel_limit(): @@ -512,7 +792,10 @@ def test_operations_and_design_validation(): p = policy(g, 0, 1, 2) for v in (5, 0): with pytest.raises( - ValueError, match=exact("T2 does not support incremental placement") + ValueError, + match=exact( + "CentralizedTE with tunnel_count does not support incremental placement" + ), ): p.place(v) with pytest.raises( @@ -542,7 +825,7 @@ def test_operations_and_design_validation(): with pytest.raises( ValueError, match=exact( - f"{'CostOnly' if cfg is COSTONLY else 'Global'} does not accept design_demand" + f"{'ShortestPaths' if cfg is COSTONLY else 'CentralizedTE'} does not accept design_demand" ), ): ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg).replace(5, design_demand=5) @@ -557,32 +840,36 @@ def test_headroom_off_and_finite_cost_tie(): r = policy(g, 0, 3, 16, LOSSY).replace(49152) assert ( counts(r, 4), - r.plan.forwarding_bound, - r.placed, + r.plan.max_lossless_offer, + r.call_delivered, r.plan.headroom_penalty, ) == ([2, 14, 2, 14], 46812, 47104, None) r = policy(g, 0, 3, 16).replace(INF, design_demand=8192) - assert (r.plan.planned_per_tunnel, counts(r, 4), r.plan.forwarding_bound) == ( + assert ( + r.plan.planned_bandwidth_per_tunnel, + counts(r, 4), + r.plan.max_lossless_offer, + ) == ( 512, [16, 0, 16, 0], 8192, ) r = policy(g, 0, 3, 16, headroom=True).replace(INF, design_demand=8192) - assert (counts(r, 4), r.plan.forwarding_bound) == ([2, 14, 2, 14], 46812) + assert (counts(r, 4), r.plan.max_lossless_offer) == ([2, 14, 2, 14], 46812) p412 = graph([(0, 1, 4, 1), (0, 1, 12, 1)]) r = policy(p412, 0, 1, 2, headroom=True).replace(INF, design_demand=2) assert ( - r.plan.common_share, - r.plan.planned_per_tunnel, + r.plan.max_bandwidth_per_tunnel, + r.plan.planned_bandwidth_per_tunnel, routes(r), - r.plan.forwarding_bound, + r.plan.max_lossless_offer, ) == (6, 1, [[1], [1]], 12) assert r.plan.headroom_penalty == 1073741823 r = policy(p412, 0, 1, 2).replace(INF, design_demand=2) - assert (routes(r), r.plan.forwarding_bound) == ([[0], [0]], 4) + assert (routes(r), r.plan.max_lossless_offer) == ([[0], [0]], 4) -# The graphs of the three tie rules of 7.3 (u, v, capacity, cost), each derived in tests/cpp's twin. +# The graphs of T2's three canonical tie rules (u, v, capacity, cost), each derived in tests/cpp's twin. ROOT_TIE_A = [ (0, 2, 1, 1), (0, 4, 1, 1), @@ -643,11 +930,11 @@ def test_cut_into_unit_walks(): def test_reverse_arcs_and_preloaded_prices(): - # A reverse arc: the second unit cancels the first unit's middle link (7.3: reverse arcs undo an + # A reverse arc: the second unit cancels the first unit's middle link (reverse arcs undo an # earlier choice); a preload: the slot prices read the static capacity, not the free one. g = graph([(0, 1, 1, 1), (0, 2, 1, 5), (1, 2, 1, 1), (1, 3, 1, 5), (2, 3, 1, 1)]) r = policy(g, 0, 3, 2).replace(INF) - assert (r.plan.common_share, routes(r), r.plan.route_cost) == ( + assert (r.plan.max_bandwidth_per_tunnel, routes(r), r.plan.total_tunnel_cost) == ( 1, [[0, 3], [1, 4]], 12, @@ -656,8 +943,8 @@ def test_reverse_arcs_and_preloaded_prices(): one10(), 0, 1, 2, ledger=ngc.FlowLedger(one10(), [6]), headroom=True ).replace(INF, design_demand=4) assert ( - r.plan.common_share, - r.plan.planned_per_tunnel, + r.plan.max_bandwidth_per_tunnel, + r.plan.planned_bandwidth_per_tunnel, r.plan.headroom_penalty, ) == (3, 2, 6012954213) @@ -666,14 +953,18 @@ def test_unlimited_design_and_up_to(): # An unlimited design (u = U); G1 up to 6 delivers 49152. g = graph(G1) r = policy(g, 0, 3, 16, headroom=True).replace(INF) - assert (r.plan.planned_per_tunnel, r.plan.head_design, r.plan.design_demand) == ( + assert ( + r.plan.planned_bandwidth_per_tunnel, + r.plan.design_by_head, + r.plan.design_demand, + ) == ( 2925, (), INF, ) - assert (r.placed, r.termination) == (46812, T.EXHAUSTED) + assert (r.call_delivered, r.termination) == (46812, T.EXHAUSTED) r = policy(g, 0, 3, 6, up_to=True, headroom=True).replace(INF) - assert (r.plan.count, r.placed) == (6, 49152) + assert (r.plan.tunnels_per_head, r.call_delivered) == (6, 49152) def test_up_to_reaches_the_design_exactly(): @@ -683,8 +974,12 @@ def test_up_to_reaches_the_design_exactly(): # already reaches D, so a budget F'(2) one unit low would choose 3. g = graph([(0, 1, 6, 1), (0, 1, 5, 1), (0, 1, 4, 1)]) r = policy(g, 0, 1, 3, up_to=True).replace(11) - assert (r.plan.count, r.plan.common_share, r.plan.planned_per_tunnel) == (2, 5, 5) - assert (routes(r), r.placed) == ([[0], [1]], 11) + assert ( + r.plan.tunnels_per_head, + r.plan.max_bandwidth_per_tunnel, + r.plan.planned_bandwidth_per_tunnel, + ) == (2, 5, 5) + assert (routes(r), r.call_delivered) == ([[0], [1]], 11) def test_all_dead_and_insufficient_resolution(): @@ -710,9 +1005,9 @@ def test_all_dead_and_insufficient_resolution(): 0, ) assert (r.program.tunnels, r.program.sources) == ((), (0, 1)) - assert r.placed == 0 and p.records() == [] + assert r.call_delivered == 0 and p.records() == [] if adm == LOSSY: - assert (r.call_source_loss, r.termination) == (10, T.COMPLETE) + assert (r.call_source_drops, r.termination) == (10, T.COMPLETE) assert source_rows(r) == [(0, 5, 5, 0, 5, 0), (1, 5, 5, 0, 5, 0)] else: assert (r.unadmitted, r.termination) == (10, T.EXHAUSTED) @@ -722,10 +1017,14 @@ def test_all_dead_and_insufficient_resolution(): r = p.replace(200, design_demand=200) assert ( r.plan.insufficient_resolution, - r.plan.fluid_share, - r.plan.common_share, + r.plan.max_fractional_bandwidth_per_tunnel, + r.plan.max_bandwidth_per_tunnel, ) == (True, Fraction(1, 16), 0) - assert (r.plan.live_heads, r.program.tunnels, r.placed) == ((0, 1), (), 0) + assert (r.plan.heads_with_capacity, r.program.tunnels, r.call_delivered) == ( + (0, 1), + (), + 0, + ) assert p.program is not None and p.program.sources == (0, 1) f = p.forward(10) if adm == LOSSY: @@ -733,10 +1032,10 @@ def test_all_dead_and_insufficient_resolution(): (0, 100, 100, 0, 100, 0), (1, 100, 100, 0, 100, 0), ] - assert (f.call_source_loss, f.termination) == (10, T.COMPLETE) + assert (f.call_source_drops, f.termination) == (10, T.COMPLETE) assert source_rows(f) == [(0, 5, 5, 0, 5, 0), (1, 5, 5, 0, 5, 0)] else: - assert (r.termination, f.placed, f.termination) == ( + assert (r.termination, f.call_delivered, f.termination) == ( T.EXHAUSTED, 0, T.EXHAUSTED, @@ -749,10 +1048,10 @@ def test_dead_head_rows_and_records(): g = twoh(0, 10) p = policy(g, [0, 1], 2, 2, LOSSY) r = p.replace(10, design_demand=10) - assert [t.index for t in r.program.tunnels] == [1, 3] + assert [t.entry_id for t in r.program.tunnels] == [1, 3] assert source_rows(r) == [(0, 5, 5, 0, 5, 0), (1, 5, 5, 5, 0, 0)] - assert sorted(rec.entry for rec in p.records()) == [1, 3] - assert [(t.index, t.status, t.assigned, t.delivered) for t in r.by_tunnel] == [ + assert sorted(rec.entry_id for rec in p.records()) == [1, 3] + assert [(t.entry_id, t.status, t.assigned, t.delivered) for t in r.by_tunnel] == [ (1, UP, 3, 3), (3, UP, 2, 2), ] @@ -760,7 +1059,7 @@ def test_dead_head_rows_and_records(): INF, design_demand=6 ) assert [ - (t.index, t.head, t.local_index, list(t.edges)) for t in r.program.tunnels + (t.entry_id, t.head, t.local_index, list(t.edges)) for t in r.program.tunnels ] == [ (0, 0, 0, [0]), (1, 1, 0, [1]), @@ -773,57 +1072,78 @@ def test_optimized_one_source(): # OPTIMIZED with one source: every field equal to the EQUAL call's. g = graph(G1) a = policy(g, 0, 3, 16, LOSSY, headroom=True).replace(49152) - p = policy(g, 0, 3, 16, LOSSY, headroom=True, origin=ngc.Origin.OPTIMIZED) + p = policy( + g, + 0, + 3, + 16, + LOSSY, + headroom=True, + source_allocation=ngc.SourceAllocation.OPTIMIZED, + ) b = p.replace(49152) assert plan_tuple(a.plan) == plan_tuple(b.plan) - assert (routes(a), rows(a), a.placed, a.call_drops) == ( + assert (routes(a), rows(a), a.call_delivered, a.call_edge_drops) == ( routes(b), rows(b), - b.placed, - b.call_drops, + b.call_delivered, + b.call_edge_drops, + ) + assert (p.config.routing.source_allocation, b.program.source_weights) == ( + ngc.SourceAllocation.OPTIMIZED, + None, ) - assert (p.config.origin, b.program.source_weights) == (ngc.Origin.OPTIMIZED, None) def test_planned_only_on_t2(): - # The planned bandwidth is T2's alone: 0 on T1's tunnels, on a controller's paths (Global, - # CostOnly MAX_FLOW) and on a supplied program's tunnels; Pinned over a T2 program keeps u. + # The planned bandwidth is T2's alone: 0 on T1's tunnels, on a controller's paths (CentralizedTE, + # ShortestPaths OPTIMIZED) and on a supplied program's tunnels; Pinned over a T2 program keeps u. g = twoh(2, 10) def planned(cfg, call): p = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, cfg) - return [t.planned for t in call(p).program.tunnels] + return [t.planned_bandwidth for t in call(p).program.tunnels] t1 = ngc.FlowPolicyConfig( - routing=ngc.CapacityAware(ngc.Tunnels(2)), admission=LOSSY + routing=ngc.DistributedTE(ngc.TunnelCount(2)), admission=LOSSY ) assert planned(t1, lambda p: p.replace(12, design_demand=12)) == [0, 0, 0, 0] assert planned(GLOBAL, lambda p: p.place(12)) == [0, 0] max_flow = ngc.FlowPolicyConfig( - routing=ngc.CostOnly(), placement=ngc.FlowPlacement.MAX_FLOW + routing=ngc.ShortestPaths(allocation=ngc.RouteAllocation.OPTIMIZED) ) assert planned(max_flow, lambda p: p.place(12)) == [0, 0] supplied = ngc.ForwardingProgram.from_routes( g, [0, 1], [2], - [ngc.Route(0, ngc.Path(g, [[0]])), ngc.Route(1, ngc.Path(g, [[1]]))], + [ + ngc.RouteDefinition(0, ngc.Path(g, [[0]])), + ngc.RouteDefinition(1, ngc.Path(g, [[1]])), + ], ) pinned = ngc.FlowPolicyConfig(routing=ngc.Pinned(supplied), admission=LOSSY) assert planned(pinned, lambda p: p.replace(4)) == [0, 0] laid = policy(g, [0, 1], 2, 2).replace(INF).program - assert [t.planned for t in laid.tunnels] == [1, 1, 1, 1] + assert [t.planned_bandwidth for t in laid.tunnels] == [1, 1, 1, 1] replay = ngc.FlowPolicyConfig(routing=ngc.Pinned(laid), admission=LOSSY) assert planned(replay, lambda p: p.replace(4)) == [1, 1, 1, 1] def test_two_heads_equal_against_global(): # Heads behind 2 and 10 against the global optimum, N = 2: the common size 1, lossless - # bound 4; optimized Global delivers 12 on the same network. + # bound 4; optimized CentralizedTE delivers 12 on the same network. g = twoh(2, 10) r = policy(g, [0, 1], 2, 2).replace(INF) - assert (r.plan.common_share, r.plan.planned_per_tunnel, r.placed) == (1, 1, 4) - assert ngc.capacity(g, [0, 1], 2, ngc.QueryOptions(GLOBAL)).placed == 12 + assert ( + r.plan.max_bandwidth_per_tunnel, + r.plan.planned_bandwidth_per_tunnel, + r.call_delivered, + ) == (1, 1, 4) + assert ( + ngc.evaluate_demand(g, [0, 1], 2, ngc.EvaluationOptions(GLOBAL)).call_delivered + == 12 + ) def test_empty_roster_zero_design_forward_and_flags(): @@ -854,9 +1174,9 @@ def test_empty_roster_zero_design_forward_and_flags(): ) r = policy(one10(), 0, 1, 2).replace(0) assert ( - r.plan.planned_per_tunnel, - [t.planned for t in r.program.tunnels], - r.placed, + r.plan.planned_bandwidth_per_tunnel, + [t.planned_bandwidth for t in r.program.tunnels], + r.call_delivered, r.termination, ) == ( 1, @@ -868,7 +1188,12 @@ def test_empty_roster_zero_design_forward_and_flags(): p = policy(g, 0, 3, 16, LOSSY, headroom=True) first = p.replace(49152) f = p.forward(32768) - assert (f.placed, f.routes_changed, f.weights_changed, f.reservations_changed) == ( + assert ( + f.call_delivered, + f.routes_changed, + f.weights_changed, + f.reservations_changed, + ) == ( 32768, False, False, @@ -877,14 +1202,17 @@ def test_empty_roster_zero_design_forward_and_flags(): assert f.program is first.program and plan_tuple(f.plan) == plan_tuple(first.plan) q = policy(g, 0, 3, 16, headroom=True) q.replace(49152) - assert q.forward(INF).placed == 46812 + assert q.forward(INF).call_delivered == 46812 second = p.replace(49152, design_demand=8192) assert ( second.routes_changed, second.weights_changed, second.reservations_changed, ) == (False, False, False) - assert (first.plan.planned_per_tunnel, second.plan.planned_per_tunnel) == ( + assert ( + first.plan.planned_bandwidth_per_tunnel, + second.plan.planned_bandwidth_per_tunnel, + ) == ( 2925, 512, ) @@ -894,27 +1222,31 @@ def test_no_certificates_and_plan_only_for_tunnels(): # No certificates; the plan only for the tunnel models. g = graph(G1) r = policy(g, 0, 3, 16).replace(INF, outputs=ngc.OutputOptions(min_cut=True)) - assert (r.total_cost, r.min_cut, r.cost_distribution) == (None, None, None) + assert (r.total_cost, r.min_cut, r.marginal_cost_curve) == (None, None, None) pin = ngc.FlowPolicy( ngc.FlowLedger(g), 0, 3, ngc.FlowPolicyConfig(routing=ngc.Pinned(r.program)) ) assert pin.replace(10).plan is None - # An optimized-origin T2 policy whose roster is empty (source 0 reaches nothing): no + # An optimized-source-allocation T2 policy whose roster is empty (source 0 reaches nothing): no # certificate either, never an empty cut or curve. empty = ngc.FlowPolicy( ngc.FlowLedger(graph([(1, 2, 10, 1)], 3)), 0, 2, - t2_config(2, origin=ngc.Origin.OPTIMIZED), + t2_config(2, source_allocation=ngc.SourceAllocation.OPTIMIZED), ) for offer, termination in ((5, T.NO_ROUTE), (0, T.COMPLETE)): e = empty.replace(offer, outputs=ngc.OutputOptions(min_cut=True)) - assert (e.termination, e.placed, e.plan is not None) == (termination, 0, True) - assert (e.total_cost, e.min_cut, e.cost_distribution) == (None, None, None) + assert (e.termination, e.call_delivered, e.plan is not None) == ( + termination, + 0, + True, + ) + assert (e.total_cost, e.min_cut, e.marginal_cost_curve) == (None, None, None) def test_t2_replay_with_every_tunnel_failed(): - # The 7.9 call's program with e0 and e1 masked: no head reaches 3; sixteen zero records. + # The G1 call's program with e0 and e1 masked: no head reaches 3; sixteen zero records. g = graph(G1) base = policy(g, 0, 3, 16, LOSSY, headroom=True) base.replace(49152) @@ -958,11 +1290,14 @@ def test_zero_and_masked(): for adm in (LOSSY, LOSSLESS): p = policy(one10(), 0, 1, 2, adm) r = p.replace(0) - assert (r.termination, [t.planned for t in r.program.tunnels]) == ( + assert (r.termination, [t.planned_bandwidth for t in r.program.tunnels]) == ( T.COMPLETE, [1, 1], ) - assert [(rec.entry, rec.delivered) for rec in p.records()] == [(0, 0), (1, 0)] + assert [(rec.entry_id, rec.delivered) for rec in p.records()] == [ + (0, 0), + (1, 0), + ] ids = [rec.flow_id for rec in p.records()] e = p.evaluate(0) assert ( @@ -977,11 +1312,11 @@ def test_zero_and_masked(): assert len(p.records()) == 2 and [rec.flow_id for rec in p.records()] != ids g = twoh(10, 10) none = g.eligibility(excluded_edges=[0, 1]) - q = ngc.QueryOptions(t2_config(2), elig=none) - r = ngc.capacity(g, [0, 1], 2, q) - assert (r.termination, r.placed) == (T.NO_ROUTE, 0) + q = ngc.EvaluationOptions(t2_config(2), eligibility=none) + r = ngc.evaluate_demand(g, [0, 1], 2, q) + assert (r.termination, r.call_delivered) == (T.NO_ROUTE, 0) assert [ - x.termination for x in ngc.batch_capacity(g, [([0, 1], [2]), ([0], [2])], q) + x.termination for x in ngc.evaluate_pairs(g, [([0, 1], [2]), ([0], [2])], q) ] == [T.NO_ROUTE] * 2 @@ -992,85 +1327,113 @@ def test_capacity(): # The design rule of capacity, nothing shared between pairs, a zero offered. g = graph(G1) hr16 = t2_config(16, headroom=True) - assert ngc.capacity(g, 0, 3, ngc.QueryOptions(hr16)).placed == 46812 assert ( - ngc.capacity(g, 0, 3, ngc.QueryOptions(hr16, design_demand=8192)).placed + ngc.evaluate_demand(g, 0, 3, ngc.EvaluationOptions(hr16)).call_delivered + == 46812 + ) + assert ( + ngc.evaluate_demand( + g, 0, 3, ngc.EvaluationOptions(hr16, design_demand=8192) + ).call_delivered == 46812 ) ly = t2_config(16, LOSSY, headroom=True) assert ( - ngc.capacity(g, 0, 3, ngc.QueryOptions(ly, design_demand=49152)).placed == 47104 + ngc.evaluate_demand( + g, 0, 3, ngc.EvaluationOptions(ly, design_demand=49152) + ).call_delivered + == 47104 + ) + assert ( + ngc.evaluate_demand( + g, 0, 3, ngc.EvaluationOptions(ly, offer=49152) + ).call_delivered + == 47104 ) - assert ngc.capacity(g, 0, 3, ngc.QueryOptions(ly, offered=49152)).placed == 47104 - with pytest.raises( - ValueError, match=exact("T2 LOSSY capacity requires finite offered") - ): - ngc.capacity(g, 0, 3, ngc.QueryOptions(ly)) with pytest.raises( - ValueError, match=exact("T2 LOSSY capacity requires finite offered") + ValueError, + match=exact("CentralizedTE LOSSY evaluation requires a finite offer"), ): - ngc.capacity(g, 0, 3, ngc.QueryOptions(ly, design_demand=INF)) + ngc.evaluate_demand(g, 0, 3, ngc.EvaluationOptions(ly)) with pytest.raises( - ValueError, match=exact("T2 LOSSLESS capacity does not accept offered") + ValueError, + match=exact("CentralizedTE LOSSY evaluation requires a finite offer"), ): - ngc.capacity(g, 0, 3, ngc.QueryOptions(hr16, offered=5)) + ngc.evaluate_demand(g, 0, 3, ngc.EvaluationOptions(ly, design_demand=INF)) + # Lossless with a finite offer and no design: the design is the offer, delivered up to it. + r5 = ngc.evaluate_demand(g, 0, 3, ngc.EvaluationOptions(hr16, offer=5)) + assert (r5.call_delivered, r5.plan.design_demand) == (5, 5) with pytest.raises( ValueError, match=exact("design_demand must be an integer in [0, 2^62) or permitted +inf"), ): - ngc.capacity(g, 0, 3, ngc.QueryOptions(hr16, design_demand=-1)) - r = ngc.capacity(g, 0, 3, ngc.QueryOptions(ly, offered=0)) - assert (r.termination, r.placed) == (T.COMPLETE, 0) + ngc.evaluate_demand(g, 0, 3, ngc.EvaluationOptions(hr16, design_demand=-1)) + r = ngc.evaluate_demand(g, 0, 3, ngc.EvaluationOptions(ly, offer=0)) + assert (r.termination, r.call_delivered) == (T.COMPLETE, 0) one = one10() - got = ngc.batch_capacity( - one, [([0], [1]), ([0], [1])], ngc.QueryOptions(t2_config(2)) + got = ngc.evaluate_pairs( + one, [([0], [1]), ([0], [1])], ngc.EvaluationOptions(t2_config(2)) ) - assert [x.placed for x in got] == [10, 10] + assert [x.call_delivered for x in got] == [10, 10] @pytest.mark.parametrize("offered", [None, INF, 0, 7]) @pytest.mark.parametrize("design", [None, 0, 4, INF]) def test_lossy_offer_rule(design, offered): # T2 LOSSY's offer rule in all three evaluators: a finite offer is used as given, an - # absent one is the design if finite, an explicit inf is an error whatever the design. - # One link of 10, N = 2: both tunnels share the link, delivery min(offer, 10). + # absent one is the design if finite, an explicit inf is an error whatever the design (the + # offer's domain, checked first). One link of 10, N = 2: both tunnels share the link, + # delivery min(offer, 10). g = one10() - q = ngc.QueryOptions(t2_config(2, LOSSY), design_demand=design, offered=offered) + q = ngc.EvaluationOptions(t2_config(2, LOSSY), design_demand=design, offer=offered) if offered is None: want = design if design is not None and design != INF else None else: want = None if offered == INF else offered if want is None: + text = ( + "offer must be an integer in [0, 2^62)" + if offered == INF + else "CentralizedTE LOSSY evaluation requires a finite offer" + ) for call in ( - lambda: ngc.capacity(g, 0, 1, q), - lambda: ngc.batch_capacity(g, [([0], [1]), ([0], [1])], q, workers=2), - lambda: ngc.sensitivity(g, 0, 1, q, workers=2), + lambda: ngc.evaluate_demand(g, 0, 1, q), + lambda: ngc.evaluate_pairs(g, [([0], [1]), ([0], [1])], q, workers=2), + lambda: ngc.evaluate_edge_failures(g, 0, 1, q, workers=2), ): - with pytest.raises( - ValueError, match=exact("T2 LOSSY capacity requires finite offered") - ): + with pytest.raises(ValueError, match=exact(text)): call() return - assert ngc.capacity(g, 0, 1, q).placed == want - got = ngc.batch_capacity(g, [([0], [1]), ([0], [1])], q, workers=2) - assert [r.placed for r in got] == [want, want] - assert ngc.sensitivity(g, 0, 1, q, workers=2).baseline.placed == want + assert ngc.evaluate_demand(g, 0, 1, q).call_delivered == want + got = ngc.evaluate_pairs(g, [([0], [1]), ([0], [1])], q, workers=2) + assert [r.call_delivered for r in got] == [want, want] + assert ( + ngc.evaluate_edge_failures(g, 0, 1, q, workers=2).baseline.call_delivered + == want + ) -def test_sensitivity(): +def test_edge_failures(): # Every allowed link is a candidate; deleting head 0's zero link # removes it from the roster (a negative loss). g = twoh(0, 10) - s = ngc.sensitivity(g, [0, 1], 2, ngc.QueryOptions(t2_config(2), design_demand=10)) - assert (s.baseline.placed, [(e.edge, e.loss) for e in s.entries]) == ( + s = ngc.evaluate_edge_failures( + g, [0, 1], 2, ngc.EvaluationOptions(t2_config(2), design_demand=10) + ) + assert ( + s.baseline.call_delivered, + [(e.edge, e.delivery_reduction) for e in s.entries], + ) == ( 0, [(0, -10), (1, 0)], ) g = graph([(0, 1, 10, 1), (2, 1, 5, 1)]) # edge 1 lies on no route of source 0 - s = ngc.sensitivity(g, 0, 1, ngc.QueryOptions(t2_config(2))) - assert [(e.edge, e.loss) for e in s.entries] == [(0, 10), (1, 0)] - s = ngc.sensitivity(g, 0, 1, ngc.QueryOptions(t2_config(2, LOSSY), offered=0)) - assert [e.loss for e in s.entries] == [0, 0] + s = ngc.evaluate_edge_failures(g, 0, 1, ngc.EvaluationOptions(t2_config(2))) + assert [(e.edge, e.delivery_reduction) for e in s.entries] == [(0, 10), (1, 0)] + s = ngc.evaluate_edge_failures( + g, 0, 1, ngc.EvaluationOptions(t2_config(2, LOSSY), offer=0) + ) + assert [e.delivery_reduction for e in s.entries] == [0, 0] # ---------------------------------------------------------------- numeric ranges (W) @@ -1080,37 +1443,52 @@ def test_ranges(): # The numeric ranges: a route cost above 2^64, the largest sizes and budgets. wide = graph([(0, 1, 16, 2**61 + 1)]) assert ( - policy(wide, 0, 1, 16).replace(INF, design_demand=16).plan.route_cost + policy(wide, 0, 1, 16).replace(INF, design_demand=16).plan.total_tunnel_cost == 36893488147419103248 ) onemax = graph([(0, 1, L62 - 1, 1)]) r = policy(onemax, 0, 1, 1, headroom=True).replace(INF) - assert (r.plan.common_share, r.plan.planned_per_tunnel, r.plan.planned_total) == ( + assert ( + r.plan.max_bandwidth_per_tunnel, + r.plan.planned_bandwidth_per_tunnel, + r.plan.total_planned_bandwidth, + ) == ( L62 - 1, L62 - 1, L62 - 1, ) - assert (r.plan.headroom_penalty, r.plan.forwarding_bound, r.placed) == ( + assert (r.plan.headroom_penalty, r.plan.max_lossless_offer, r.call_delivered) == ( 2**32, L62 - 1, L62 - 1, ) fan = graph([(h, 4, 2**60 - 1, 1) for h in range(4)]) r = policy(fan, [0, 1, 2, 3], 4, 16).replace(INF) - assert (r.plan.common_share, r.plan.planned_total, r.plan.forwarding_bound) == ( + assert ( + r.plan.max_bandwidth_per_tunnel, + r.plan.total_planned_bandwidth, + r.plan.max_lossless_offer, + ) == ( 2**56 - 1, L62 - 64, L62 - 4, ) dead = graph([(h, 101, 0, 1) for h in range(100)] + [(100, 101, 2**61, 1)]) r = policy(dead, list(range(101)), 101, 2, up_to=True).replace(INF) - assert (r.plan.count, r.plan.forwarding_bound, r.plan.live_heads) == (1, 0, (100,)) + assert ( + r.plan.tunnels_per_head, + r.plan.max_lossless_offer, + r.plan.heads_with_capacity, + ) == (1, 0, (100,)) r = policy(dead, list(range(101)), 101, 1, LOSSY).replace(101) - assert (r.placed, r.call_source_loss) == (1, 100) + assert (r.call_delivered, r.call_source_drops) == (1, 100) costmax = graph([(0, 1, 10000, L62 - 1)]) r = policy(costmax, 0, 1, 10000, headroom=True).replace(INF, design_demand=10000) - assert (r.plan.common_share, r.plan.planned_per_tunnel) == (1, 1) - assert r.plan.route_cost == 10000 * (L62 - 1) == 46116860184273879030000 + assert (r.plan.max_bandwidth_per_tunnel, r.plan.planned_bandwidth_per_tunnel) == ( + 1, + 1, + ) + assert r.plan.total_tunnel_cost == 10000 * (L62 - 1) == 46116860184273879030000 assert ( r.plan.headroom_penalty == sum(2**32 * j // 10000 for j in range(1, 10001)) @@ -1141,13 +1519,13 @@ def test_property(): for trial in range(300): n, rows_ = _random_case(rng) g = build(n, rows_) - edges = [rows_[int(i)] for i in g.input_index()] + edges = [rows_[int(i)] for i in g.input_positions()] sources = sorted(rng.sample(range(n - 1), rng.randint(1, min(2, n - 1)))) dests = [n - 1] - mask = elig = None + mask = eligibility = None if rng.random() < 0.3: xe = [rng.randrange(len(rows_))] - mask, elig = ([], xe), g.eligibility(excluded_edges=xe) + mask, eligibility = ([], xe), g.eligibility(excluded_edges=xe) caps = [c for _, _, c, _ in edges] free = [rng.randint(0, c) for c in caps] if rng.random() < 0.4 else list(caps) hr = rng.random() < 0.5 @@ -1156,7 +1534,7 @@ def test_property(): D = rng.choice([None, rng.randint(0, 14)]) fg = ngc.FlowLedger(g, free) p = ngc.FlowPolicy( - fg, sources, dests, t2_config(N, headroom=hr, up_to=up), elig + fg, sources, dests, t2_config(N, headroom=hr, up_to=up), eligibility ) r = p.replace(INF, design_demand=INF if D is None else D) want = orc.t2( @@ -1164,23 +1542,28 @@ def test_property(): ) where = (trial, rows_, sources, free, N, up, D, hr, mask) pl = r.plan - assert (pl.count, list(pl.live_heads), pl.common_share, pl.fluid_share) == ( + assert ( + pl.tunnels_per_head, + list(pl.heads_with_capacity), + pl.max_bandwidth_per_tunnel, + pl.max_fractional_bandwidth_per_tunnel, + ) == ( want.count, want.live, want.U, want.fluid, ), where - assert (pl.planned_per_tunnel, pl.insufficient_resolution) == ( + assert (pl.planned_bandwidth_per_tunnel, pl.insufficient_resolution) == ( want.u, want.insufficient, ), where - got = [(t.index, t.head, list(t.edges)) for t in r.program.tunnels] + got = [(t.entry_id, t.head, list(t.edges)) for t in r.program.tunnels] assert got == [(t.index, t.head, t.path) for t in want.tunnels], where - assert (pl.route_cost, pl.headroom_penalty if hr else 0) == ( + assert (pl.total_tunnel_cost, pl.headroom_penalty if hr else 0) == ( want.J, want.phi, ), where - assert pl.forwarding_bound == want.F == r.placed, where + assert pl.max_lossless_offer == want.F == r.call_delivered, where laid += 1 if want.U: # U maximal: U + 1 does not fit; J then Phi minimal over every count vector at u. @@ -1196,7 +1579,8 @@ def test_property(): optimal += 1 K = len(want.live) * k if want.u == want.U and want.live == want.roster: - assert 0 <= want.F - K * want.U < K, where # 7.6's remainder bound + # The remainder bound 0 <= F - K U < K. + assert 0 <= want.F - K * want.U < K, where bounds += 1 if up: upto += 1 @@ -1205,14 +1589,19 @@ def test_property(): # Lossy: the oracle's loss rule, conservation, the layout independent of the offer. offer = rng.randint(0, 14) lp = ngc.FlowPolicy( - ngc.FlowLedger(g, free), sources, dests, t2_config(N, LOSSY, hr, up), elig + ngc.FlowLedger(g, free), + sources, + dests, + t2_config(N, LOSSY, hr, up), + eligibility, ) lr = lp.replace(offer, design_demand=INF if D is None else D) - assert [(t.index, list(t.edges)) for t in lr.program.tunnels] == [ + assert [(t.entry_id, list(t.edges)) for t in lr.program.tunnels] == [ (a, c) for a, _, c in got ], where assert ( - lr.offered == lr.source_loss + sum(x for _, x in lr.drops) + lr.delivered + lr.offered + == lr.source_drops + sum(x for _, x in lr.edge_drops) + lr.delivered ), where if want.roster: try: @@ -1221,9 +1610,9 @@ def test_property(): ) except AssertionError: continue - assert (lr.placed, lr.call_source_loss) == (delivered, lost), where + assert (lr.call_delivered, lr.call_source_drops) == (delivered, lost), where assert [ - (t.assigned, t.delivered, t.dropped) for t in lr.by_tunnel + (t.assigned, t.delivered, t.total_edge_drops) for t in lr.by_tunnel ] == per, where lossy_cmp += 1 assert ( @@ -1269,15 +1658,18 @@ def snapshot(): GETTER_SWEEP = """ import _netgraph_core as ext, netgraph_core as ngc g = ngc.Graph(4, [0, 0, 1, 2], [1, 2, 3, 3], [8192, 40960, 8192, 40960], [1, 1, 1, 1], 1.0) -cfg = ngc.FlowPolicyConfig(routing=ngc.Global(tunnels=ngc.Tunnels(4), prefer_headroom=True), +cfg = ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.EQUAL, + tunnel_count=ngc.TunnelCount(4), prefer_headroom=True), admission=ngc.Admission.LOSSY) p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, cfg) r = p.replace(4096) -gl = ngc.Global(tunnels=ngc.Tunnels(4)) +gl = ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.EQUAL, tunnel_count=ngc.TunnelCount(4)) fn = lambda: {getter} +expected = repr(fn()) # the getter reads its value first: a missing name fails here for k in range(400): hit, seen, value, error = ext._fail_python_allocation(fn, (), k) if not hit: + assert error is None and repr(value) == expected, (k, error, value) break assert value is None and isinstance(error, (MemoryError, RuntimeError)), (k, error) else: @@ -1291,12 +1683,13 @@ def snapshot(): "getter", [ "r.plan", - "r.plan.fluid_share", - "r.plan.live_heads", - "r.plan.route_cost", + "r.plan.max_fractional_bandwidth_per_tunnel", + "r.plan.heads_with_capacity", + "r.plan.total_tunnel_cost", "r.plan.headroom_penalty", "r.program.tunnels", - "gl.tunnels", + "gl.tunnel_count", + "repr(r)", ], ) def test_t2_getters_survive_python_allocation_failures(getter): diff --git a/tests/py/test_configuration.py b/tests/py/test_configuration.py new file mode 100644 index 0000000..12f7972 --- /dev/null +++ b/tests/py/test_configuration.py @@ -0,0 +1,958 @@ +"""The configuration values (docs/semantics.md, "Configuration"): their construction (keywords, +required arguments, types, defaults), the model matrix in its order and its first error, the +route choice's rules (the ineffective tie rule of ShortestPaths and the pooled single-path rule), +at a policy and at an evaluator. The table cases are the worked CFG examples, run here on the +library: a valid model reads back its resolved fields from the policy's config.""" + +from __future__ import annotations + +import ast +from fractions import Fraction +from pathlib import Path + +import numpy as np +import pytest +from helpers import assert_read_only, build, dag_of, exact + +import netgraph_core as ngc + +TIE = ngc.RouteTieBreak +A = ngc.RouteAllocation +INEFFECTIVE = "ShortestPaths tie_break requires multipath=False or parallel_edges=False" +POOLED = ( + "ShortestPaths with multiple input sources requires tie_break=FEWER_HOPS" + " when multipath=False" +) + + +def config(allocation, **choice): + return ngc.FlowPolicyConfig( + routing=ngc.ShortestPaths(allocation=allocation, **choice) + ) + + +def test_ineffective_tie(): + # A HIGHER_* tie_break with every route and every parallel edge has nothing to choose: + # rejected for every allocation (OPTIMIZED's support is the route choice too); with + # multipath=False or parallel_edges=False it is valid; FEWER_HOPS always is. + g = build(2, [(0, 1, 4, 1), (0, 1, 10, 1)]) + for allocation in (A.EQUAL, A.WEIGHTED, A.OPTIMIZED): + for tie in ( + TIE.HIGHER_CAPACITY, + TIE.HIGHER_AVAILABLE_CAPACITY, + TIE.HIGHER_HEADROOM, + ): + cfg = config(allocation, tie_break=tie) + with pytest.raises(ValueError, match=exact(INEFFECTIVE)): + ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg) + with pytest.raises(ValueError, match=exact(INEFFECTIVE)): + ngc.evaluate_demand(g, 0, 1, ngc.EvaluationOptions(cfg)) + for choice in ({"multipath": False}, {"parallel_edges": False}): + ok = config(allocation, tie_break=tie, **choice) + assert ( + ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, ok).place(1).call_delivered + == 1 + ) + assert ( + ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, config(allocation)) + .place(1) + .call_delivered + == 1 + ) + + +def test_pooled_rule_counts_inputs(): + # The pooled single-path rule counts the normalized input sources before the mask: + # [0, 0, 1] is two sources, [0, 1] with source 1 masked is still two, [0] is one. + g = build(3, [(0, 2, 5, 1), (1, 2, 5, 1)]) + cfg = config(A.EQUAL, tie_break=TIE.HIGHER_CAPACITY, multipath=False) + with pytest.raises(ValueError, match=exact(POOLED)): + ngc.FlowPolicy(ngc.FlowLedger(g), [0, 0, 1], 2, cfg) + masked = g.eligibility(excluded_nodes=[1]) + with pytest.raises(ValueError, match=exact(POOLED)): + ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, cfg, masked) + with pytest.raises(ValueError, match=exact(POOLED)): + ngc.evaluate_demand( + g, [0, 1], 2, ngc.EvaluationOptions(cfg, eligibility=masked) + ) + assert ngc.FlowPolicy(ngc.FlowLedger(g), [0], 2, cfg).place(1).call_delivered == 1 + # FEWER_HOPS single paths pool, and HIGHER_* multipath (one member per pair) pools. + for choice in ( + {"multipath": False}, + {"tie_break": TIE.HIGHER_CAPACITY, "parallel_edges": False}, + ): + ok = config(A.EQUAL, **choice) + assert ( + ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, ok).place(2).call_delivered + == 2 + ) + + +# -- the worked CFG examples ---------------------------------------------------------------------- + +# 0 -> 1 (e0), 0 -> 2 (e1), 1 -> 2 (e2): one source is [0], two are [0, 1]; the destination is 2. +EXAMPLE = [(0, 1, 5, 1), (0, 2, 5, 1), (1, 2, 5, 1)] +ENUMS = { + "allocation": ngc.RouteAllocation, + "source_allocation": ngc.SourceAllocation, + "weight_basis": ngc.WeightBasis, + "tie_break": ngc.RouteTieBreak, +} +MODELS = { + "ShortestPaths": ngc.ShortestPaths, + "DistributedTE": lambda tunnel_count, **kw: ngc.DistributedTE(tunnel_count, **kw), + "CentralizedTE": ngc.CentralizedTE, + "Pinned": lambda program, **kw: ngc.Pinned(program, **kw), + "FlowPolicyConfig": ngc.FlowPolicyConfig, +} + + +CEILING = "cost_ceiling must be AbsoluteCost, CostStretch or None" + + +def program_of(g, spec): + """A program of the example graph: "p" from 0 to 2, or {"sources": [0], "destinations": [d]}.""" + if spec == "p": + spec = {"sources": [0], "destinations": [2]} + (d,) = spec["destinations"] + route = ngc.Path(g, [[0 if d == 1 else 1]]) + return ngc.ForwardingProgram.from_routes( + g, spec["sources"], [d], [ngc.RouteDefinition(0, route)] + ) + + +def argument(g, key, value): + """The library value of one example keyword (the examples spell values as strings).""" + if key in ENUMS and isinstance(value, str): + return getattr(ENUMS[key], value) + if key == "tunnel_count": + count, *up_to = value.split() + return ngc.TunnelCount(int(count), up_to=up_to == ["up_to"]) + if key == "cost_ceiling": + kind, *parts = value + return ngc.CostStretch(Fraction(*parts)) if kind == "fraction" else parts[0] + if key == "support": + return dag_of(g, [1]) + if key == "program": + return program_of(g, value) + if key == "routing": + return ngc.ShortestPaths() + return value + + +def resolved(routing): + """A valid model's resolved fields, as the examples print them.""" + + def name(v): + return "None" if v is None else v.name + + if isinstance(routing, ngc.ShortestPaths): + return ( + f"allocation={name(routing.allocation)}" + f" source_allocation={name(routing.source_allocation)}" + f" weight_basis={name(routing.weight_basis)}" + f" tie_break={name(routing.tie_break)}" + f" multipath={routing.multipath} parallel_edges={routing.parallel_edges}" + ) + if isinstance(routing, ngc.CentralizedTE): + t = routing.tunnel_count + count = "None" if t is None else f"{t.per_head}" + (" up_to" if t.up_to else "") + return ( + f"source_allocation={name(routing.source_allocation)}" + f" support={'None' if routing.support is None else 'dag'}" + f" tunnel_count={count} prefer_headroom={routing.prefer_headroom}" + ) + return "valid" + + +def outcome( + model, kwargs, sources=1, admission="LOSSLESS", cache=False, endpoints=None +): + """One CFG example on the library: "TypeError" (with the text where the example names one) + at construction, the policy's first ValueError text, or the resolved fields of a valid model. + The policy is built, and a zero call placed, only when the model is valid (a zero offer skips + no validation).""" + g = build(3, EXAMPLE) + try: + value = MODELS[model](**{k: argument(g, k, v) for k, v in kwargs.items()}) + except TypeError as e: + return f"TypeError: {e}" if str(e) == CEILING else "TypeError" + if model == "FlowPolicyConfig": + return "constructed" + cfg = ngc.FlowPolicyConfig( + routing=value, admission=getattr(ngc.Admission, admission) + ) + src, dst = ([0], [2]) if sources == 1 else ([0, 1], [2]) + if endpoints is not None: + src, dst = endpoints + tunnels = isinstance(value, ngc.DistributedTE) or ( + isinstance(value, ngc.CentralizedTE) and value.tunnel_count is not None + ) + try: + policy = ngc.FlowPolicy( + ngc.FlowLedger(g), + src, + dst, + cfg, + None, + ngc.ShortestPathCache(g) if cache else None, + ) + except ValueError as e: + return str(e) + (policy.replace if tunnels else policy.place)(0) + return resolved(policy.config.routing) + + +def run_cases(cases, expected): + got = [outcome(**case) for case in cases] + assert got == expected + + +def test_cfg_defaults(): + # CFG-defaults: every resolved field of ShortestPaths' allocations, and a T2 model. + run_cases( + [ + dict(model="ShortestPaths", kwargs={}), + dict(model="ShortestPaths", kwargs={"allocation": "EQUAL"}), + dict(model="ShortestPaths", kwargs={"allocation": "WEIGHTED"}), + dict(model="ShortestPaths", kwargs={"allocation": "OPTIMIZED"}), + dict( + model="CentralizedTE", + kwargs={"source_allocation": "EQUAL", "tunnel_count": "16"}, + ), + ], + [ + "allocation=EQUAL source_allocation=EQUAL weight_basis=None tie_break=FEWER_HOPS multipath=True parallel_edges=True", + "allocation=EQUAL source_allocation=EQUAL weight_basis=None tie_break=FEWER_HOPS multipath=True parallel_edges=True", + "allocation=WEIGHTED source_allocation=EQUAL weight_basis=CAPACITY tie_break=FEWER_HOPS multipath=True parallel_edges=True", + "allocation=OPTIMIZED source_allocation=OPTIMIZED weight_basis=None tie_break=FEWER_HOPS multipath=True parallel_edges=True", + "source_allocation=EQUAL support=None tunnel_count=16 prefer_headroom=False", + ], + ) + + +def test_cfg_construction(): + # CFG-construction: every case is a TypeError when the value is built. + run_cases( + [ + dict(model="CentralizedTE", kwargs={}), + dict(model="CentralizedTE", kwargs={"source_allocation": None}), + dict(model="CentralizedTE", kwargs={"tunnel_count": "16"}), + dict( + model="CentralizedTE", + kwargs={"source_allocation": "EQUAL", "selection": "default"}, + ), + dict( + model="DistributedTE", + kwargs={"tunnel_count": "4", "source_allocation": "EQUAL"}, + ), + dict( + model="DistributedTE", kwargs={"tunnel_count": "4", "multipath": False} + ), + dict(model="Pinned", kwargs={"program": "p", "allocation": "EQUAL"}), + dict( + model="FlowPolicyConfig", + kwargs={"routing": "ShortestPaths()", "allocation": "EQUAL"}, + ), + dict(model="ShortestPaths", kwargs={"multipath": None}), + dict(model="ShortestPaths", kwargs={"placement": "EQUAL"}), + ], + ["TypeError"] * 10, + ) + + +def test_cfg_matrix(): + # CFG-matrix: one result per row of the matrix (the rows checked at a policy, each valid + # model also placing a zero call). + run_cases( + [ + dict(model="ShortestPaths", kwargs={"source_allocation": "OPTIMIZED"}), + dict( + model="ShortestPaths", + kwargs={"allocation": "OPTIMIZED"}, + admission="LOSSY", + ), + dict(model="ShortestPaths", kwargs={"tie_break": "HIGHER_CAPACITY"}), + dict( + model="ShortestPaths", + kwargs={"tie_break": "HIGHER_CAPACITY", "multipath": False}, + sources=2, + ), + dict( + model="ShortestPaths", + kwargs={"tie_break": "HIGHER_CAPACITY", "multipath": False}, + ), + dict( + model="ShortestPaths", + kwargs={"tie_break": "HIGHER_HEADROOM", "parallel_edges": False}, + sources=2, + ), + dict(model="ShortestPaths", kwargs={"weight_basis": "CAPACITY"}), + dict( + model="ShortestPaths", + kwargs={"allocation": "WEIGHTED", "weight_basis": "EXPLICIT"}, + ), + dict( + model="CentralizedTE", + kwargs={"source_allocation": "OPTIMIZED", "tunnel_count": "2"}, + sources=2, + ), + dict( + model="CentralizedTE", + kwargs={"source_allocation": "OPTIMIZED", "tunnel_count": "2"}, + ), + dict( + model="CentralizedTE", + kwargs={"source_allocation": "EQUAL"}, + admission="LOSSY", + ), + dict( + model="CentralizedTE", + kwargs={"source_allocation": "EQUAL", "prefer_headroom": True}, + ), + dict( + model="CentralizedTE", + kwargs={ + "source_allocation": "EQUAL", + "support": "dag", + "tunnel_count": "2", + }, + admission="LOSSY", + ), + dict(model="DistributedTE", kwargs={"tunnel_count": "4 up_to"}), + ], + [ + "ShortestPaths with EQUAL or WEIGHTED requires source_allocation=EQUAL", + "ShortestPaths OPTIMIZED requires admission=LOSSLESS", + INEFFECTIVE, + POOLED, + "allocation=EQUAL source_allocation=EQUAL weight_basis=None tie_break=HIGHER_CAPACITY multipath=False parallel_edges=True", + "allocation=EQUAL source_allocation=EQUAL weight_basis=None tie_break=HIGHER_HEADROOM multipath=True parallel_edges=False", + "weight_basis requires allocation=WEIGHTED", + "weight_basis=EXPLICIT requires edge_weights", + "CentralizedTE with tunnel_count and several sources requires source_allocation=EQUAL", + "source_allocation=OPTIMIZED support=None tunnel_count=2 prefer_headroom=False", + "CentralizedTE without tunnel_count requires admission=LOSSLESS", + "prefer_headroom requires tunnel_count", + "source_allocation=EQUAL support=dag tunnel_count=2 prefer_headroom=False", + "DistributedTE requires an exact tunnel count", + ], + ) + + +def test_cfg_first_error(): + # CFG-first-error: two defects each; the first in the model matrix's order is reported. + run_cases( + [ + dict( + model="CentralizedTE", + kwargs={"source_allocation": "EQUAL", "prefer_headroom": True}, + admission="LOSSY", + ), + dict( + model="ShortestPaths", + kwargs={"source_allocation": "OPTIMIZED", "weight_basis": "CAPACITY"}, + ), + dict( + model="ShortestPaths", + kwargs={"allocation": "OPTIMIZED", "tie_break": "HIGHER_CAPACITY"}, + admission="LOSSY", + ), + dict( + model="ShortestPaths", + kwargs={"tie_break": "HIGHER_CAPACITY", "weight_basis": "CAPACITY"}, + ), + dict( + model="ShortestPaths", + kwargs={ + "tie_break": "HIGHER_CAPACITY", + "multipath": False, + "weight_basis": "CAPACITY", + }, + sources=2, + ), + dict( + model="CentralizedTE", + kwargs={ + "source_allocation": "OPTIMIZED", + "tunnel_count": "0", + "prefer_headroom": True, + }, + sources=2, + ), + dict( + model="DistributedTE", + kwargs={"tunnel_count": "0 up_to", "cost_ceiling": ["fraction", 1, 2]}, + ), + dict( + model="DistributedTE", + kwargs={"tunnel_count": "4 up_to", "cost_ceiling": ["fraction", 1, 2]}, + ), + dict( + model="DistributedTE", + kwargs={ + "tunnel_count": "4", + "cost_ceiling": ["fraction", 1, 2], + "min_unreserved_bandwidth": -1, + }, + ), + dict( + model="DistributedTE", + kwargs={"tunnel_count": "4", "min_unreserved_bandwidth": -1}, + ), + ], + [ + "CentralizedTE without tunnel_count requires admission=LOSSLESS", + "ShortestPaths with EQUAL or WEIGHTED requires source_allocation=EQUAL", + "ShortestPaths OPTIMIZED requires admission=LOSSLESS", + INEFFECTIVE, + POOLED, + "CentralizedTE with tunnel_count and several sources requires source_allocation=EQUAL", + "tunnel count must be in [1, 10000]", + "DistributedTE requires an exact tunnel count", + "cost_ceiling CostStretch factor must be >= 1 (got 1/2)", + "min_unreserved_bandwidth must be an integer in [0, 2^62)", + ], + ) + + +def test_cfg_cache_order(): + # CFG-cache-order: the cache refusal is the matrix's last check (after prefer_headroom, + # before the tunnel count), the program's endpoints come after the matrix. + other = {"sources": [0], "destinations": [2]} + run_cases( + [ + dict(model="DistributedTE", kwargs={"tunnel_count": "0"}, cache=True), + dict( + model="Pinned", + kwargs={"program": other}, + cache=True, + endpoints=[[0], [1]], + ), + dict( + model="CentralizedTE", + kwargs={"source_allocation": "EQUAL", "tunnel_count": "0"}, + cache=True, + ), + dict( + model="CentralizedTE", + kwargs={"source_allocation": "EQUAL", "prefer_headroom": True}, + cache=True, + ), + dict(model="ShortestPaths", kwargs={"allocation": "WEIGHTED"}, cache=True), + dict(model="DistributedTE", kwargs={"tunnel_count": "0"}), + dict(model="Pinned", kwargs={"program": other}, endpoints=[[0], [1]]), + dict( + model="Pinned", + kwargs={"program": {"sources": [0], "destinations": [1]}}, + endpoints=[[0], [1]], + ), + ], + [ + "DistributedTE does not use ShortestPathCache", + "Pinned does not use ShortestPathCache", + "CentralizedTE does not use ShortestPathCache", + "prefer_headroom requires tunnel_count", + "allocation=WEIGHTED source_allocation=EQUAL weight_basis=CAPACITY tie_break=FEWER_HOPS multipath=True parallel_edges=True", + "tunnel count must be in [1, 10000]", + "program endpoints do not match policy endpoints", + "valid", + ], + ) + + +def test_cfg_ceiling_type(): + # CFG-ceiling-type: a ceiling of another type is refused when DistributedTE is built, before + # any policy check (the count 0 is never reached). + ceiling = f"TypeError: {CEILING}" + run_cases( + [ + dict( + model="DistributedTE", + kwargs={"tunnel_count": "0", "cost_ceiling": ["other", 1.5]}, + ), + dict( + model="DistributedTE", + kwargs={"tunnel_count": "4", "cost_ceiling": ["other", 2]}, + ), + dict( + model="DistributedTE", + kwargs={"tunnel_count": "4", "cost_ceiling": ["fraction", 3, 2]}, + ), + ], + [ceiling, ceiling, "valid"], + ) + + +# -- construction ------------------------------------------------------------------------------ + + +def test_shortest_paths_defaults(): + # ShortestPaths() is ShortestPaths(allocation=EQUAL): the same fields as built and the same + # resolved snapshot (the source allocation resolved to EQUAL). + g = build(3, EXAMPLE) + fields = ( + "allocation", + "source_allocation", + "weight_basis", + "edge_weights", + "tie_break", + "multipath", + "parallel_edges", + ) + built = (A.EQUAL, None, None, None, TIE.FEWER_HOPS, True, True) + snapshots = [] + for sp in (ngc.ShortestPaths(), ngc.ShortestPaths(allocation=A.EQUAL)): + assert tuple(getattr(sp, f) for f in fields) == built + cfg = ngc.FlowPolicyConfig(routing=sp) + routing = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 2, cfg).config.routing + snapshots.append(tuple(getattr(routing, f) for f in fields)) + assert ( + snapshots + == [ + ( + A.EQUAL, + ngc.SourceAllocation.EQUAL, + None, + None, + TIE.FEWER_HOPS, + True, + True, + ) + ] + * 2 + ) + + +def test_resolved_snapshot(): + # WEIGHTED resolves source EQUAL and basis CAPACITY; OPTIMIZED source OPTIMIZED and no + # basis; OPTIMIZED with source EQUAL keeps EQUAL. The model value itself is unchanged. + g = build(3, EXAMPLE) + S = ngc.SourceAllocation + for sp, want in ( + (ngc.ShortestPaths(allocation=A.WEIGHTED), (S.EQUAL, ngc.WeightBasis.CAPACITY)), + (ngc.ShortestPaths(allocation=A.OPTIMIZED), (S.OPTIMIZED, None)), + ( + ngc.ShortestPaths(allocation=A.OPTIMIZED, source_allocation=S.EQUAL), + (S.EQUAL, None), + ), + ): + before = repr(sp) + cfg = ngc.FlowPolicyConfig(routing=sp) + routing = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, cfg).config.routing + assert (routing.source_allocation, routing.weight_basis) == want, sp + assert repr(sp) == before and repr(cfg.routing) == before + + +def test_centralized_requires_source_allocation(): + with pytest.raises(TypeError): + ngc.CentralizedTE() + with pytest.raises(TypeError): + ngc.CentralizedTE(source_allocation=None) + c = ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.EQUAL) + assert (c.source_allocation, c.support, c.tunnel_count, c.prefer_headroom) == ( + ngc.SourceAllocation.EQUAL, + None, + None, + False, + ) + + +def test_unknown_keywords(): + # A field of another model, or a retired one, is no keyword: pybind11's own TypeError. + g = build(3, EXAMPLE) + program = program_of(g, "p") + sp = ngc.ShortestPaths() + cases = [ + lambda: ngc.FlowPolicyConfig(routing=sp, placement=A.EQUAL), + lambda: ngc.FlowPolicyConfig(routing=sp, selection=None), + lambda: ngc.FlowPolicyConfig(routing=sp, origin=ngc.SourceAllocation.EQUAL), + lambda: ngc.FlowPolicyConfig(routing=sp, weights=ngc.WeightBasis.CAPACITY), + lambda: ngc.FlowPolicyConfig(routing=sp, edge_weights=[1, 1, 1]), + lambda: ngc.FlowPolicyConfig(routing=sp, allocation=A.EQUAL), + lambda: ngc.DistributedTE( + ngc.TunnelCount(2), source_allocation=ngc.SourceAllocation.EQUAL + ), + lambda: ngc.DistributedTE(ngc.TunnelCount(2), multipath=False), + lambda: ngc.Pinned(program, allocation=A.EQUAL), + lambda: ngc.Pinned(program, source_allocation=ngc.SourceAllocation.EQUAL), + lambda: ngc.KspOptions(2, multipath=False), + ] + for case in cases: + with pytest.raises( + TypeError, match="incompatible (function|constructor) arguments" + ): + case() + + +def test_missing_required(): + for case in (ngc.FlowPolicyConfig, ngc.DistributedTE, ngc.Pinned): + with pytest.raises(TypeError): + case() + + +class _Truthy: + def __bool__(self): + return True + + +# Classes that only borrow the type name of NumPy's bool (both spellings): a bool parameter +# checks the type itself. +FAKE_NUMPY_BOOLS = [ + type(name, (), {"__bool__": lambda self: True}) + for name in ("numpy.bool_", "numpy.bool") +] + + +def _stub_bool_parameters(): + # Every parameter the installed stub annotates `bool`, as "Owner.method:name" or + # "function:name". + stub = ast.parse(Path(ngc.__file__).with_name("__init__.pyi").read_text()) + out = set() + + def walk(body, owner=None): + for node in body: + if isinstance(node, ast.ClassDef): + walk(node.body, node.name) + elif isinstance(node, ast.FunctionDef): + args = node.args + for a in args.posonlyargs + args.args + args.kwonlyargs: + if a.annotation is not None and ast.unparse(a.annotation) == "bool": + out.add(f"{owner + '.' if owner else ''}{node.name}:{a.arg}") + + walk(stub.body) + return out + + +def _bool_parameters(): + # Every bool parameter of the API (the configuration values and the search options), with + # how to read the value back; test_bools_are_strict checks the list against the stub. + g = build(2, [(0, 1, 1, 1), (0, 1, 1, 1)]) + dag = ngc.PredecessorDAG.from_csr(g, [0, 0, 2], [0, 0], [0, 1]) + S = ngc.SourceAllocation.EQUAL + params = [ + ( + "ShortestPaths.__init__:multipath", + lambda v: ngc.ShortestPaths(multipath=v).multipath, + ), + ( + "ShortestPaths.__init__:parallel_edges", + lambda v: ngc.ShortestPaths(parallel_edges=v).parallel_edges, + ), + ( + "DistributedTE.__init__:parallel_edges", + lambda v: ngc.DistributedTE( + ngc.TunnelCount(1), parallel_edges=v + ).parallel_edges, + ), + ( + "CentralizedTE.__init__:prefer_headroom", + lambda v: ngc.CentralizedTE( + source_allocation=S, prefer_headroom=v + ).prefer_headroom, + ), + ("TunnelCount.__init__:up_to", lambda v: ngc.TunnelCount(2, up_to=v).up_to), + ( + "KspOptions.__init__:parallel_edges", + lambda v: ngc.KspOptions(2, parallel_edges=v).parallel_edges, + ), + ( + "SpfOptions.__init__:multipath", + lambda v: ngc.SpfOptions(ngc.Direction.FORWARD, multipath=v).multipath, + ), + ( + "SpfOptions.__init__:parallel_edges", + lambda v: ngc.SpfOptions( + ngc.Direction.FORWARD, parallel_edges=v + ).parallel_edges, + ), + ( + "resolve_to_paths:split_parallel_edges", + lambda v: len(ngc.resolve_to_paths(g, dag, 0, 1, split_parallel_edges=v)) + == 2, + ), + ] + for field in ( + "edge_flows", + "residual", + "saturated_boundary_edges", + "edge_reservations", + "min_cut", + ): + params.append( + ( + f"OutputOptions.__init__:{field}", + lambda v, field=field: getattr(ngc.OutputOptions(**{field: v}), field), + ) + ) + return params + + +def test_bools_are_strict(): + # A bool parameter takes exactly a bool or a numpy.bool_, both known by their type: not a + # class named like NumPy's bool, an object with __bool__, None, an int or a string. + params = _bool_parameters() + assert {name for name, _ in params} == _stub_bool_parameters() + assert len(params) == 14 + fakes = [fake() for fake in FAKE_NUMPY_BOOLS] + for name, make in params: + for bad in (*fakes, _Truthy(), None, 0, 1, "x", np.int64(1), np.array([True])): + with pytest.raises(TypeError): + make(bad) + pytest.fail(f"{name} took {bad!r}") + for good in (True, False, np.bool_(True), np.bool_(False)): + assert make(good) is bool(good), name + + +def test_integer_scalars(): + # A configuration value's integer field: a value of another type is a TypeError naming the + # field; beyond 64 bits a ValueError; in 64 bits it constructs and its domain is checked + # where the value is used. + for bad, kind in ((True, "bool"), (1.5, "float"), (None, "NoneType")): + with pytest.raises( + TypeError, + match=exact(f"TunnelCount per_head must be an integer (got {kind})"), + ): + ngc.TunnelCount(bad) + with pytest.raises( + ValueError, + match=exact( + "TunnelCount per_head = 18446744073709551616 is out of range " + "[-9223372036854775808, 9223372036854775807]" + ), + ): + ngc.TunnelCount(2**64) + g = build(3, EXAMPLE) + + def policy(routing): + ngc.FlowPolicy(ngc.FlowLedger(g), 0, 2, ngc.FlowPolicyConfig(routing=routing)) + + with pytest.raises(ValueError, match=exact("tunnel count must be in [1, 10000]")): + policy(ngc.DistributedTE(ngc.TunnelCount(0))) + with pytest.raises( + TypeError, match=exact("AbsoluteCost cost must be an integer (got NoneType)") + ): + ngc.AbsoluteCost(None) + with pytest.raises( + ValueError, match=exact("cost_ceiling AbsoluteCost cost must be >= 0 (got -1)") + ): + policy(ngc.DistributedTE(ngc.TunnelCount(1), cost_ceiling=ngc.AbsoluteCost(-1))) + with pytest.raises( + TypeError, + match=exact("min_unreserved_bandwidth must be an integer (got float)"), + ): + ngc.DistributedTE(ngc.TunnelCount(1), min_unreserved_bandwidth=1.0) + with pytest.raises( + ValueError, match=r"^min_unreserved_bandwidth = .* is out of range" + ): + ngc.DistributedTE(ngc.TunnelCount(1), min_unreserved_bandwidth=2**63) + with pytest.raises( + ValueError, + match=exact("min_unreserved_bandwidth must be an integer in [0, 2^62)"), + ): + policy(ngc.DistributedTE(ngc.TunnelCount(1), min_unreserved_bandwidth=2**62)) + + +def test_wrong_types(): + g = build(3, EXAMPLE) + S = ngc.SourceAllocation.EQUAL + for case, text in ( + (lambda: ngc.ShortestPaths(allocation="EQUAL"), None), + (lambda: ngc.ShortestPaths(tie_break=0), None), + ( + lambda: ngc.CentralizedTE(source_allocation=S, support=5), + "CentralizedTE support must be a PredecessorDAG or None", + ), + ( + lambda: ngc.CentralizedTE(source_allocation=S, tunnel_count=2), + "CentralizedTE tunnel_count must be a TunnelCount or None", + ), + ( + lambda: ngc.FlowPolicyConfig(routing=1), + "routing must be ShortestPaths, DistributedTE, CentralizedTE or Pinned (got int)", + ), + ( + lambda: ngc.DistributedTE(ngc.TunnelCount(1), cost_ceiling=1.5), + "cost_ceiling must be AbsoluteCost, CostStretch or None", + ), + (lambda: ngc.Pinned(None), "Pinned program must be a ForwardingProgram"), + ): + with pytest.raises(TypeError, match=None if text is None else exact(text)): + case() + assert g.num_edges() == 3 + + +def test_edge_weights(): + # One integer per edge, read back as a tuple; an entry beyond 64 bits is refused at + # construction; the array is the model's, shared by every policy built from it. + g = build(4, [(0, 1, 10, 1), (0, 2, 10, 1), (1, 3, 10, 1), (2, 3, 10, 1)]) + sp = ngc.ShortestPaths( + allocation=A.WEIGHTED, + weight_basis=ngc.WeightBasis.EXPLICIT, + edge_weights=np.array([1, 3, 1, 1]), + ) + assert sp.edge_weights == (1, 3, 1, 1) + assert all(type(w) is int for w in sp.edge_weights) + with pytest.raises( + ValueError, match=exact("edge_weights[0] must be an integer in [0, 2^62)") + ): + ngc.ShortestPaths( + allocation=A.WEIGHTED, + weight_basis=ngc.WeightBasis.EXPLICIT, + edge_weights=[2**64, 1, 1, 1], + ) + # A vector of the wrong type or shape is a TypeError at construction; a value out of range + # stays a ValueError (above) or is checked where the model is used. + for bad in ( + [True, 1, 1, 1], + [1.5, 1, 1, 1], + [np.bool_(True), 1, 1, 1], + [None, 1, 1, 1], + ["1", 1, 1, 1], + [[1], 1, 1, 1], + 3, + "1111", + b"1111", + {1, 3}, + np.array([True, False, True, True]), + np.array([1.0, 3.0, 1.0, 1.0]), + np.array([[1, 3, 1, 1]]), + np.array(1), + ): + with pytest.raises(TypeError, match=r"^edge_weights"): + ngc.ShortestPaths( + allocation=A.WEIGHTED, + weight_basis=ngc.WeightBasis.EXPLICIT, + edge_weights=bad, + ) + with pytest.raises( + TypeError, match=exact("edge_weights[0] must be an integer (got bool)") + ): + ngc.ShortestPaths(edge_weights=[True]) + cfg = ngc.FlowPolicyConfig(routing=sp) + for _ in range(2): + r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, cfg).place(8) + assert r.call_delivered == 8 + assert ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, cfg).config.routing.edge_weights == ( + 1, + 3, + 1, + 1, + ) + + +def test_immutable_values(): + g = build(3, EXAMPLE) + program = program_of(g, "p") + for value, names in ( + (ngc.FlowPolicyConfig(routing=ngc.ShortestPaths()), ("admission",)), + ( + ngc.ShortestPaths(), + ( + "allocation", + "source_allocation", + "weight_basis", + "edge_weights", + "tie_break", + "multipath", + "parallel_edges", + ), + ), + ( + ngc.DistributedTE(ngc.TunnelCount(1)), + ( + "tunnel_count", + "cost_ceiling", + "min_unreserved_bandwidth", + "tie_break", + "parallel_edges", + ), + ), + ( + ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.EQUAL), + ("source_allocation", "support", "tunnel_count", "prefer_headroom"), + ), + (ngc.Pinned(program), ("program", "black_holes")), + (ngc.TunnelCount(2), ("per_head", "up_to")), + (ngc.AbsoluteCost(2), ("cost",)), + (ngc.CostStretch(2), ("factor",)), + (ngc.RouteDefinition(0, ngc.Path(g, [[1]])), ("head", "route", "weight")), + ): + assert_read_only(value, *names) + # The routing reads back as a new Python object each time (a model has no equality). + cfg = ngc.FlowPolicyConfig(routing=ngc.ShortestPaths()) + assert type(ngc.FlowPolicyConfig.routing).__name__ == "property" + assert ngc.FlowPolicyConfig.routing.fset is None + with pytest.raises(AttributeError): + cfg.routing = ngc.ShortestPaths() + + +# -- the matrix's order ----------------------------------------------------------------------- + + +def test_pooled_rule_before_vectors(): + # The pooled single-path rule is part of the matrix: before edge_weights' length. + g = build(3, [(0, 2, 5, 1), (1, 2, 5, 1)]) + cfg = ngc.FlowPolicyConfig( + routing=ngc.ShortestPaths( + allocation=A.WEIGHTED, + weight_basis=ngc.WeightBasis.EXPLICIT, + edge_weights=[1], + multipath=False, + tie_break=TIE.HIGHER_CAPACITY, + ) + ) + with pytest.raises(ValueError, match=exact(POOLED)): + ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, cfg) + with pytest.raises(ValueError, match=exact("edge_weights: expected 2 entries")): + ngc.FlowPolicy(ngc.FlowLedger(g), [0], 2, cfg) + + +def test_cache_rule_place(): + # The cache refusal comes after the matrix's other checks and before the tunnel count. + g = build(3, EXAMPLE) + cache = ngc.ShortestPathCache(g) + for routing, text in ( + ( + ngc.DistributedTE(ngc.TunnelCount(0)), + "DistributedTE does not use ShortestPathCache", + ), + ( + ngc.CentralizedTE( + source_allocation=ngc.SourceAllocation.EQUAL, prefer_headroom=True + ), + "prefer_headroom requires tunnel_count", + ), + ): + cfg = ngc.FlowPolicyConfig(routing=routing) + with pytest.raises(ValueError, match=exact(text)): + ngc.FlowPolicy(ngc.FlowLedger(g), 0, 2, cfg, None, cache) + with pytest.raises(ValueError, match=exact(text)): + ngc.evaluate_demand(g, 0, 2, ngc.EvaluationOptions(cfg, cache=cache)) + + +def test_ownership_first(): + # The endpoints and the ownership of the inputs come before the matrix. + g = build(3, EXAMPLE) + other = build(3, EXAMPLE) + for support in (dag_of(other, [1]), dag_of(other, [])): + routing = ngc.CentralizedTE( + source_allocation=ngc.SourceAllocation.EQUAL, + support=support, + tunnel_count=ngc.TunnelCount(2), + prefer_headroom=True, + ) + cfg = ngc.FlowPolicyConfig(routing=routing, admission=ngc.Admission.LOSSY) + with pytest.raises(ValueError, match=exact("support belongs to another graph")): + ngc.FlowPolicy(ngc.FlowLedger(g), 0, 2, cfg) + bad = ngc.FlowPolicyConfig( + routing=ngc.ShortestPaths(source_allocation=ngc.SourceAllocation.OPTIMIZED) + ) + with pytest.raises(ValueError, match=exact("sources: the node set is empty")): + ngc.FlowPolicy( + ngc.FlowLedger(g), [], 2, bad, other.eligibility(excluded_edges=[0]) + ) + with pytest.raises( + ValueError, match=exact("foreign Eligibility: built for another graph") + ): + ngc.FlowPolicy(ngc.FlowLedger(g), 0, 2, bad, other.eligibility()) diff --git a/tests/py/test_contract_examples.py b/tests/py/test_contract_examples.py new file mode 100644 index 0000000..6c2c5c3 --- /dev/null +++ b/tests/py/test_contract_examples.py @@ -0,0 +1,4744 @@ +"""The worked examples, run on the library: each example's own input and expected +values (copied as written), one adapter per kind of example that builds the input with the library +and returns what the example names, compared field by field (an expected mapping may name fewer +fields than the adapter returns; an int is not a float or a bool; a Fraction compares by its exact +string). The examples whose mechanism needs several demands at once or concurrent publication are +not here. + +Examples given as routes of link indices (no nodes) are laid out as one head, a feeder link to each +route's first link, a connector between consecutive links and an exit link to one destination; +these added links are wider than anything offered, so they never bind and the example's links +decide every split. An example's per-route offers are the routes' weights, so the head's split by +highest averages hands each route exactly its offer.""" + +from __future__ import annotations + +import copy +import itertools +import math +from fractions import Fraction + +import numpy as np +import pytest + +import netgraph_core as ngc + +INF = math.inf +LL = ngc.Admission.LOSSLESS +LY = ngc.Admission.LOSSY +S = ngc.SourceAllocation +WIDE = 1 << 50 # wider than any amount an example offers + + +class NotExposed(Exception): + """The example names a value the library does not report (an internal quantity).""" + + +# -- comparison ------------------------------------------------------------------------------- + + +def mismatch(got, want, where="value"): + """None if `got` matches `want`, else the first difference. Typed and recursive: an int must be + an int (not a float or a bool), a bool a bool, None None; an expected mapping names the keys it + checks; a sequence must have the expected length; a Fraction compares by its exact string.""" + if isinstance(got, Fraction): + got = f"{got.numerator}/{got.denominator}" if got.denominator != 1 else str(got) + if isinstance(want, dict): + if not isinstance(got, dict): + return f"{where}: got {got!r}, expected a mapping" + for key, value in want.items(): + if key not in got: + return f"{where}.{key}: missing" + sub = mismatch(got[key], value, f"{where}.{key}") + if sub: + return sub + return None + if isinstance(want, (list, tuple)): + if not isinstance(got, (list, tuple)) or len(got) != len(want): + return f"{where}: got {got!r}, expected {want!r}" + for n, (g, w) in enumerate(zip(got, want, strict=True)): + sub = mismatch(g, w, f"{where}[{n}]") + if sub: + return sub + return None + if type(got) is not type(want) or got != want: + return f"{where}: got {got!r}, expected {want!r}" + return None + + +# -- building blocks -------------------------------------------------------------------------- + + +def graph_of(edges): + """The example's graph: [source, destination, capacity, cost] rows in EdgeId order.""" + n = 1 + max(max(a, b) for a, b, _, _ in edges) + g = ngc.Graph( + n, + [e[0] for e in edges], + [e[1] for e in edges], + [e[2] for e in edges], + [e[3] for e in edges], + 1.0, + ) + assert g.input_positions().tolist() == list(range(len(edges))) + return g + + +def dag_of(g, edges): + """The PredecessorDAG of the given links (each link's tail is its predecessor).""" + n = g.num_nodes() + tails = g.edge_sources().tolist() + heads = g.edge_destinations().tolist() + preds = [[] for _ in range(n)] + for e in sorted(edges): + preds[heads[e]].append((tails[e], e)) + offsets, parents, via = [0], [], [] + for v in range(n): + for u, e in preds[v]: + parents.append(u) + via.append(e) + offsets.append(len(parents)) + return ngc.PredecessorDAG.from_csr(g, offsets, parents, via) + + +def path_of(g, edges): + return ngc.Path(g, [[e] for e in edges]) + + +def per_edge(pairs, m): + out = [0] * m + for e, x in pairs: + out[e] += x + return out + + +def config(routing, admission=LL): + return ngc.FlowPolicyConfig(routing=routing, admission=admission) + + +def policy(g, sources, destinations, cfg, mask=None, ledger=None): + return ngc.FlowPolicy( + ledger if ledger is not None else ngc.FlowLedger(g), + sources, + destinations, + cfg, + mask, + ) + + +def pinned(g, program, admission=LL, mask=None, black_holes=None, ledger=None): + cfg = config(ngc.Pinned(program, black_holes=black_holes), admission) + return policy( + g, list(program.sources), list(program.destinations), cfg, mask, ledger + ) + + +def edge_mask(g, links=(), nodes=()): + """The Eligibility excluding the given links and nodes (None: nothing excluded).""" + if not links and not nodes: + return None + return g.eligibility(excluded_nodes=list(nodes), excluded_edges=list(links)) + + +def laid_out(cap, routes): + """The layout of routes given as link indices: one head (node 0), one destination (node 1), + per link its own two nodes, a feeder from the head to each first link, a connector between + consecutive links and an exit from each last link. Returns the graph and per example link its + EdgeId, and per route its path of EdgeIds.""" + rows = [] + node = itertools.count(2) + ends = {e: (next(node), next(node)) for e in range(len(cap))} + for e, c in enumerate(cap): + rows.append((ends[e][0], ends[e][1], c, 1, ("link", e))) + added = {} + + def link(a, b, key): + if key not in added: + added[key] = len(rows) + rows.append((a, b, WIDE, 1, key)) + return key + + walks = [] + for route in routes: + walk = [link(0, ends[route[0]][0], ("feed", route[0]))] + for e, f in itertools.pairwise(route): + walk += [("link", e), link(ends[e][1], ends[f][0], ("join", e, f))] + walk += [("link", route[-1]), link(ends[route[-1]][1], 1, ("exit", route[-1]))] + walks.append(walk) + n = 2 + 2 * len(cap) + g = ngc.Graph( + n, + [r[0] for r in rows], + [r[1] for r in rows], + [r[2] for r in rows], + [r[3] for r in rows], + 1.0, + ) + position = {r[4]: i for i, r in enumerate(rows)} + eid = {pos: e for e, pos in enumerate(g.input_positions().tolist())} + edge = {key: eid[pos] for key, pos in position.items()} + links = [edge[("link", e)] for e in range(len(cap))] + paths = [[edge[k] for k in walk] for walk in walks] + return g, links, paths + + +def laid_out_tunnels(cap, routes, weights, groups=None): + """The program of tunnels along laid-out routes: one head per group (default: one head for + every route), each route a tunnel of its weight. Returns the graph, the example links' + EdgeIds and the program.""" + if groups is None: + g, links, paths = laid_out(cap, routes) + tunnels = [ + ngc.RouteDefinition(0, path_of(g, p), weight=w) + for p, w in zip(paths, weights, strict=True) + ] + return g, links, ngc.ForwardingProgram.from_routes(g, [0], [1], tunnels) + # One head per group: a node per group feeding the shared head-side layout. + g, links, paths = laid_out_groups(cap, routes, groups) + tunnels = [ + ngc.RouteDefinition(head, path_of(g, p), weight=w) + for (head, p), w in zip(paths, weights, strict=True) + ] + heads = sorted({h for h, _ in paths}) + return g, links, ngc.ForwardingProgram.from_routes(g, heads, [1], tunnels) + + +def laid_out_groups(cap, routes, groups): + """As laid_out, with route i fed from its group's own head (heads are nodes 2 + 2L ...).""" + rows = [] + ends = {e: (2 + 2 * e, 3 + 2 * e) for e in range(len(cap))} + for e, c in enumerate(cap): + rows.append((ends[e][0], ends[e][1], c, 1, ("link", e))) + first_head = 2 + 2 * len(cap) + head_of = {grp: first_head + i for i, grp in enumerate(sorted(set(groups)))} + added = set() + + def link(a, b, key): + if key not in added: + added.add(key) + rows.append((a, b, WIDE, 1, key)) + return key + + walks = [] + for route, grp in zip(routes, groups, strict=True): + h = head_of[grp] + walk = [link(h, ends[route[0]][0], ("feed", grp, route[0]))] + for e, f in itertools.pairwise(route): + walk += [("link", e), link(ends[e][1], ends[f][0], ("join", e, f))] + walk += [("link", route[-1]), link(ends[route[-1]][1], 1, ("exit", route[-1]))] + walks.append((h, walk)) + n = first_head + len(head_of) + g = ngc.Graph( + n, + [r[0] for r in rows], + [r[1] for r in rows], + [r[2] for r in rows], + [r[3] for r in rows], + 1.0, + ) + position = {r[4]: i for i, r in enumerate(rows)} + eid = {pos: e for e, pos in enumerate(g.input_positions().tolist())} + edge = {key: eid[pos] for key, pos in position.items()} + links = [edge[("link", e)] for e in range(len(cap))] + return g, links, [(h, [edge[k] for k in walk]) for h, walk in walks] + + +def factor_of(spec): + """An example's CostStretch factor: itself, or ["float", x], ["fraction", n, d], ["int", n], + ["bool", b], ["index", n] (an object known only by __index__), ["numpy", type, value], + ["str", s] or ["other", x] (a value of another type).""" + if not isinstance(spec, list): + return spec + kind = spec[0] + if kind == "float": + return float(spec[1]) + if kind == "fraction": + return Fraction(spec[1], spec[2]) + if kind == "index": + return _Index(spec[1]) + if kind == "numpy": + return getattr(np, spec[1])(spec[2]) + if kind in ("str", "other"): + return spec[1] + return bool(spec[1]) if kind == "bool" else int(spec[1]) + + +class _Index: + def __init__(self, n): + self.n = n + + def __index__(self): + return self.n + + +def ceiling_of(spec): + """A ceiling argument: a CostStretch of the factor, or the raw value of another type.""" + if isinstance(spec, list) and spec[0] == "other": + return spec[1] + return ngc.CostStretch(factor_of(spec)) + + +def error_text(error): + return f"TypeError: {error}" if isinstance(error, TypeError) else str(error) + + +# -- splitting rules ---------------------------------------------------------------------------- + + +def split_on_parallel_links(n, weights): + """H(n, w) as the library splits it: one head, a tunnel of weight w_i on its own link.""" + if n >= 1 << 62: + raise NotExposed("an amount at or above 2^62 is outside the library's domain") + m = len(weights) + g = ngc.Graph(2, [0] * m, [1] * m, [max(n, 1)] * m, [1] * m, 1.0) + tunnels = [ + ngc.RouteDefinition(0, path_of(g, [e]), weight=w) for e, w in enumerate(weights) + ] + program = ngc.ForwardingProgram.from_routes(g, [0], [1], tunnels) + return [t.assigned for t in pinned(g, program, LY).place(n).by_tunnel] + + +def run_ha(n, weights): + return split_on_parallel_links(n, weights) + + +def split_report(n, weights, assigned): + total = sum(weights) + exact = [Fraction(n * w, total) for w in weights] + return dict( + assigned=assigned, + max_excess=max(Fraction(a) - x for a, x in zip(assigned, exact, strict=True)), + max_deficit=max(x - Fraction(a) for a, x in zip(assigned, exact, strict=True)), + below_k=all( + abs(a - x) < len(weights) for a, x in zip(assigned, exact, strict=True) + ), + below_one=all(abs(a - x) < 1 for a, x in zip(assigned, exact, strict=True)), + ) + + +def run_split_error(n, weights): + return split_report(n, weights, split_on_parallel_links(n, weights)) + + +def run_bound_sweep(max_total, max_members, max_weight): + # One program per weight vector; every total is an evaluation of it (nothing published). + cases = violations = equal_violations = 0 + for k in range(1, max_members + 1): + g = ngc.Graph(2, [0] * k, [1] * k, [max(max_total, 1)] * k, [1] * k, 1.0) + for weights in itertools.product(range(max_weight + 1), repeat=k): + if not any(weights): + continue + tunnels = [ + ngc.RouteDefinition(0, path_of(g, [e]), weight=w) + for e, w in enumerate(weights) + ] + p = pinned(g, ngc.ForwardingProgram.from_routes(g, [0], [1], tunnels), LY) + for n in range(max_total + 1): + cases += 1 + assigned = [t.assigned for t in p.evaluate(n).by_tunnel] + r = split_report(n, list(weights), assigned) + violations += not r["below_k"] + if len(set(weights)) == 1: + equal_violations += not r["below_one"] + return dict(cases=cases, violations=violations, equal_violations=equal_violations) + + +def run_member_order(amount, order): + # The members of one split, taken in prepared (EdgeId) order: the member order[j] is link j. + k = len(order) + g = ngc.Graph(2, [0] * k, [1] * k, [max(amount, 1)] * k, [1] * k, 1.0) + program = ngc.ForwardingProgram.from_dag(g, [0], [1], dag_of(g, range(k))) + flows = ( + pinned(g, program, LY) + .place(amount, ngc.OutputOptions(edge_flows=True)) + .edge_flows.tolist() + ) + result = [0] * k + for j, member in enumerate(order): + result[member] = flows[j] + return result + + +def run_pooled(sources, members): + # Sources 0..s-1 each feed router s by a wide link; the router reaches s + 1 over `members` + # wide parallel links. Pooled: from_dag; independent: one split route per source. + s = len(sources) + if len(set(sources)) != 1: + raise NotExposed("unequal source amounts: a program's sources are equal") + rows = [(i, s, WIDE) for i in range(s)] + [(s, s + 1, WIDE)] * members + g = ngc.Graph( + s + 2, + [r[0] for r in rows], + [r[1] for r in rows], + [r[2] for r in rows], + [1] * len(rows), + 1.0, + ) + member_links = list(range(s, s + members)) + whole = dag_of(g, range(len(rows))) + pooled_policy = pinned( + g, ngc.ForwardingProgram.from_dag(g, list(range(s)), [s + 1], whole), LY + ) + flows = pooled_policy.place( + sum(sources), ngc.OutputOptions(edge_flows=True) + ).edge_flows.tolist() + records = sorted(pooled_policy.records(), key=lambda r: r.sources[0]) + by_column = [ + [dict(rec.edge_flows).get(e, 0) for rec in records] for e in member_links + ] + separate = ngc.ForwardingProgram.from_routes( + g, list(range(s)), [s + 1], [ngc.RouteDefinition(i, whole) for i in range(s)] + ) + independent = ( + pinned(g, separate, LY) + .place(sum(sources), ngc.OutputOptions(edge_flows=True)) + .edge_flows.tolist() + ) + return dict( + columns=[flows[e] for e in member_links], + source_by_column=by_column, + independent_columns=[independent[e] for e in member_links], + ) + + +# -- the ledger and the policy's operations ------------------------------------------------------ + + +def run_ledger(service, reservation, carried, strict, new_delivery, old_delivery): + # One link: a ShortestPaths policy carries `old_delivery` (then is replaced by `new_delivery`) + # and a DistributedTE policy holds `strict` for its design. + g = ngc.Graph(2, [0], [1], [max(service, reservation)], [1], 1.0) + ledger = ngc.FlowLedger(g, [service], reservation_baseline=[reservation]) + carrier = policy(g, 0, 1, config(ngc.ShortestPaths(), LY), ledger=ledger) + assert carrier.place(old_delivery).call_delivered == carried + holder = policy( + g, 0, 1, config(ngc.DistributedTE(ngc.TunnelCount(1)), LY), ledger=ledger + ) + holder.replace(0, design_demand=strict) + out = dict( + carried=int(ledger.carried()[0]), + residual=int(ledger.residual()[0]), + reserved=int(ledger.reserved()[0]), + unreserved=int(ledger.unreserved()[0]), + ) + out["delivery_delta"] = carrier.replace(new_delivery).delivery_delta + return out + + +def run_refusal(capacity, outside, calls): + # One link; another owner holds outside[c] at the entry of call c; a Lossless policy places + # each call; its delivery after each call. The rejected rule (re-offering refused units) is + # what the library must not do: only the correct sequence is reported. + g = ngc.Graph(2, [0], [1], [capacity], [1], 1.0) + ledger = ngc.FlowLedger(g) + other = policy(g, 0, 1, config(ngc.ShortestPaths()), ledger=ledger) + mine = policy(g, 0, 1, config(ngc.ShortestPaths()), ledger=ledger) + out = [] + for load, offer in zip(outside, calls, strict=True): + other.replace(load) + out.append(mine.place(offer).delivered) + return dict(correct=out) + + +def private_links(caps, costs=None): + """Sources 0..n-1, each with its own link to node n.""" + n = len(caps) + return ngc.Graph( + n + 1, list(range(n)), [n] * n, list(caps), list(costs or [1] * n), 1.0 + ) + + +def run_increments(caps, calls, admission, outside=None): + n = len(caps) + g = private_links(caps) + ledger = ngc.FlowLedger(g) + adm = getattr(ngc.Admission, admission) + others = [ + policy(g, i, n, config(ngc.ShortestPaths()), ledger=ledger) for i in range(n) + ] + mine = policy(g, list(range(n)), n, config(ngc.ShortestPaths(), adm), ledger=ledger) + delivered, r = [], None + for c, v in enumerate(calls): + if outside is not None: + for i, load in enumerate(outside[c]): + others[i].replace(load) + r = mine.place(v) + delivered.append(r.call_delivered) + out = dict( + call_delivered=delivered, + requested=r.requested, + delivered=r.delivered, + unadmitted=r.unadmitted, + offered=r.offered, + ) + if admission == "LOSSLESS": + out["admitted"] = r.admitted + else: + out["edge_drops"] = per_edge(r.edge_drops, n) + return out + + +def run_epoch(cap, calls, full=False, admission="LOSSY"): + # ShortestPaths ECMP over parallel links. + k = len(cap) + g = ngc.Graph(2, [0] * k, [1] * k, list(cap), [1] * k, 1.0) + ledger = ngc.FlowLedger(g) + p = policy( + g, + 0, + 1, + config(ngc.ShortestPaths(), getattr(ngc.Admission, admission)), + ledger=ledger, + ) + per_call, r = [], None + for v in [sum(calls)] if full else calls: + r = p.place(v) + per_call.append(r.call_delivered) + return dict( + requested=sum(calls), + delivered=r.delivered, + edge_drops=sum(x for _, x in r.edge_drops), + edge_flows=ledger.carried().tolist(), + residual=ledger.residual().tolist(), + per_call_delivery=per_call, + ) + + +def run_equal_increment(capacities, costs, calls): + # The equal-source controller: CentralizedTE EQUAL, sources with private links. + k = len(capacities) + g = private_links(capacities, costs) + ledger = ngc.FlowLedger(g) + p = policy( + g, + list(range(k)), + k, + config(ngc.CentralizedTE(source_allocation=S.EQUAL)), + ledger=ledger, + ) + deliveries, r = [], None + for v in calls: + r = p.place(v) + deliveries.append(r.call_delivered) + return dict( + call_deliveries=deliveries, + allocation=ledger.carried().tolist(), + delivered=r.delivered, + cost=r.total_cost, + ) + + +def run_zero_state(service, outside): + # place(0) on a ShortestPaths policy without a prepared program, new and after remove(); another + # owner's tunnels hold `outside` (weights = its loads) on parallel links of capacities `service`. + k = len(service) + g = ngc.Graph(2, [0] * k, [1] * k, list(service), [1] * k, 1.0) + ledger = ngc.FlowLedger(g) + held = [ + ngc.RouteDefinition(0, path_of(g, [e]), weight=w) for e, w in enumerate(outside) + ] + pinned( + g, ngc.ForwardingProgram.from_routes(g, [0], [1], held), ledger=ledger + ).place(sum(outside)) + outputs = ngc.OutputOptions( + edge_flows=True, residual=True, edge_reservations=True, min_cut=True + ) + + def state(r): + return dict( + call_delivered=r.call_delivered, + call_undelivered=r.call_undelivered, + delivery_delta=r.delivery_delta, + call_edge_drops=r.call_edge_drops, + call_source_drops=r.call_source_drops, + termination=r.termination.name, + routes_changed=r.routes_changed, + weights_changed=r.weights_changed, + reservations_changed=r.reservations_changed, + program=r.program, + edge_flows=r.edge_flows.tolist(), + edge_reservations=r.edge_reservations.tolist(), + residual=r.residual.tolist(), + min_cut=r.min_cut, + marginal_cost_curve=r.marginal_cost_curve, + ) + + fresh = state( + policy(g, 0, 1, config(ngc.ShortestPaths()), ledger=ledger).place(0, outputs) + ) + used = policy(g, 0, 1, config(ngc.ShortestPaths()), ledger=ledger) + used.place(1) + used.remove() + again = state(used.place(0, outputs)) + assert again == fresh, (fresh, again) + return fresh + + +def run_change_flags(path_cap, calls, recomputed): + # One link; a recomputed program (CentralizedTE) or a fixed one (Pinned over one tunnel). + g = ngc.Graph(2, [0], [1], [path_cap], [1], 1.0) + if recomputed: + p = policy(g, 0, 1, config(ngc.CentralizedTE(source_allocation=S.OPTIMIZED))) + else: + tunnel = [ngc.RouteDefinition(0, path_of(g, [0]))] + p = pinned(g, ngc.ForwardingProgram.from_routes(g, [0], [1], tunnel)) + flags = [] + for i, (op, v) in enumerate(calls): + r = getattr(p, op)(v) + if i: + flags.append(r) + return dict( + routes_changed=[r.routes_changed for r in flags], + weights_changed=[r.weights_changed for r in flags], + reservations_changed=[r.reservations_changed for r in flags], + ) + + +# -- programs: tunnels, split routes, the LOSSY rule ------------------------------------------------ + + +def run_lossy(offers, routes, cap, labels=None): + """Routes of link indices carrying their offers. Each demand of the labels is one source of + the program (a demand's routes are its tunnels, weights = offers), so a link splits by highest + averages over sources, then tunnels: the labels' demand-then-tunnel order. Several demands must + offer equal totals (a program's sources are equal).""" + labels = labels or [[i, 0, 0] for i in range(len(offers))] + demands = [lab[0] for lab in labels] + if len(set(demands)) == len(demands): + groups = ( + None # one tunnel per demand: one head, split by H over the routes' offers + ) + total = sum(offers) + else: + totals = {} + for d, o in zip(demands, offers, strict=True): + totals[d] = totals.get(d, 0) + o + if len(set(totals.values())) != 1: + raise NotExposed("demands with unequal totals") + groups = demands + total = sum(offers) + g, links, program = laid_out_tunnels(cap, routes, offers, groups) + p = pinned(g, program, LY) + try: + r = p.place(total, ngc.OutputOptions(edge_flows=True)) + except ValueError as e: + return dict(error=str(e)) + flows = r.edge_flows.tolist() + drops = per_edge(r.call_edge_drops, g.num_edges()) + carried, edge_drops = [], [] + records = {rec.entry_id: rec for rec in p.records()} + for i, route in enumerate(routes): + rec_flows = dict(records[i].edge_flows) if i in records else {} + rec_drops = dict(records[i].edge_drops) if i in records else {} + carried.append([rec_flows.get(links[e], 0) for e in route]) + edge_drops.append([rec_drops.get(links[e], 0) for e in route]) + return dict( + carried=carried, + edge_drops=edge_drops, + delivered=[t.delivered for t in r.by_tunnel], + edge_flows=[flows[links[e]] for e in range(len(cap))], + link_drops=[drops[links[e]] for e in range(len(cap))], + ) + + +def run_bound(cap, routes, weights): + # One head, a tunnel per route of the given weight: the Lossless bound of the program. + g, _, program = laid_out_tunnels(cap, routes, weights) + return pinned(g, program).place(INF).call_delivered + + +def run_split_contexts(cap, routes, weights, pool): + # One head, split routes whose members are parallel links to the destination. Separate: one + # split route per entry (from_routes); pooled: the one shared context of from_dag. + k = len(cap) + g = ngc.Graph(2, [0] * k, [1] * k, list(cap), [1] * k, 1.0) + if pool: + if len({tuple(r) for r in routes}) != 1: + raise NotExposed("pooled routes with different members") + program = ngc.ForwardingProgram.from_dag(g, [0], [1], dag_of(g, routes[0])) + else: + program = ngc.ForwardingProgram.from_routes( + g, + [0], + [1], + [ + ngc.RouteDefinition(0, dag_of(g, r), weight=w) + for r, w in zip(routes, weights, strict=True) + ], + ) + bound = pinned(g, program).place(INF).call_delivered + r = pinned(g, program, LY).place(2, ngc.OutputOptions(edge_flows=True)) + drops = per_edge(r.call_edge_drops, k) + return dict( + bound=bound, + loads_at_2=[f + d for f, d in zip(r.edge_flows.tolist(), drops, strict=True)], + ) + + +def run_dag_contexts(edges, sources, destination, offer, pooled): + g = graph_of(edges) + whole = dag_of(g, range(len(edges))) + if pooled: + program = ngc.ForwardingProgram.from_dag(g, sources, [destination], whole) + else: + program = ngc.ForwardingProgram.from_routes( + g, sources, [destination], [ngc.RouteDefinition(s, whole) for s in sources] + ) + return dict( + lossless_bound=pinned(g, program).place(INF).call_delivered, + lossy_delivered=pinned(g, program, LY).place(offer).call_delivered, + ) + + +def run_stale_dag( + edges, sources, destinations, offer, weights, + black_links=(), black_nodes=(), mask_links=(), mask_nodes=(), +): # fmt: skip + # One split route (from_dag of the member links, WEIGHTED by the given frozen weights) forwarded + # by Pinned under the repair mask, with the black holes laid over. + g = graph_of(edges) + members = [e for e, w in enumerate(weights) if w is not None] + program = ngc.ForwardingProgram.from_dag( + g, + sources, + [destinations], + dag_of(g, members), + allocation=ngc.RouteAllocation.WEIGHTED, + weight_basis=ngc.WeightBasis.EXPLICIT, + edge_weights=[w or 0 for w in weights], + ) + p = pinned( + g, + program, + LY, + mask=edge_mask(g, mask_links, mask_nodes), + black_holes=edge_mask(g, black_links, black_nodes), + ) + r = p.place(offer, ngc.OutputOptions(edge_flows=True)) + return dict( + delivered=r.call_delivered, + edge_flows=r.edge_flows.tolist(), + edge_drops=per_edge(r.call_edge_drops, len(edges)), + source_drops=r.call_source_drops, + ) + + +def run_stale_paths( + edges, tunnels, offers, black_links=(), black_nodes=(), mask_links=(), mask_nodes=() +): + # Tunnels from their heads (one program; each head its own source, offers equal), forwarded by + # Pinned under the repair mask with the black holes laid over. + g = graph_of(edges) + heads = sorted({h for h, _ in tunnels}) + if len({offers[h] for h in heads}) != 1: + raise NotExposed("heads with unequal offers") + program = ngc.ForwardingProgram.from_routes( + g, + heads, + sorted({edges[p[-1]][1] for _, p in tunnels}), + [ngc.RouteDefinition(h, path_of(g, p)) for h, p in tunnels], + ) + mask = edge_mask(g, mask_links, mask_nodes) + holes = edge_mask(g, black_links, black_nodes) + total = sum(offers[h] for h in heads) + try: + r = pinned(g, program, LY, mask=mask, black_holes=holes).place(total) + except ValueError as e: + return dict(error=str(e)) + out = dict( + status=[t.status.name for t in r.by_tunnel], + assigned=[t.assigned for t in r.by_tunnel], + delivered=[t.delivered for t in r.by_tunnel], + edge_drops=per_edge(r.call_edge_drops, len(edges)), + source_drops=r.call_source_drops, + ) + if len(heads) == 1 and not r.call_source_drops: + out["lossless_admitted"] = ( + pinned(g, program, mask=mask, black_holes=holes).place(total).call_delivered + ) + return out + + +def run_termination(offer, model=None, args=None, program=None): + # The installed program decides: a T1 or T2 setup, or a program of tunnels (head, path, + # weight) on one link per head. + if model is not None: + g = graph_of(args["edges"]) + count = ngc.TunnelCount(args["per_head"]) + if model == "t1": + routing = ngc.DistributedTE(count) + else: + routing = ngc.CentralizedTE(source_allocation=S.EQUAL, tunnel_count=count) + p = policy(g, args["heads"], args["destinations"], config(routing, LY)) + r = p.replace(offer, design_demand=args.get("design_demand")) + installed = p.program + forward_error = None + try: + p.forward(offer) + except ValueError as e: + forward_error = str(e) + lossless = pinned(g, installed).place(offer).termination.name + else: + roster, entries = program + n = 1 + max(roster) + g = ngc.Graph(n + 1, list(range(n)), [n] * n, [WIDE] * n, [1] * n, 1.0) + routes = [] + for head, has_path, weight in entries: + if not has_path: + raise NotExposed("an entry without a path") + routes.append(ngc.RouteDefinition(head, path_of(g, [head]), weight=weight)) + installed = ngc.ForwardingProgram.from_routes(g, roster, [n], routes) + p = pinned(g, installed, LY) + r = p.place(offer) + forward_error = None + lossless = pinned(g, installed).place(offer).termination.name + return dict( + tunnels=len(installed.tunnels), + lossy=r.termination.name, + lossless=lossless, + source_drops=[row.source_drops for row in r.by_source if row.source_drops], + forward_error=forward_error, + ) + + +# -- the tunnel models ------------------------------------------------------------------------------ + + +def t1_routing(per_head, absolute=None, stretch=None, minimum=0): + ceiling = None + if absolute is not None: + ceiling = ngc.AbsoluteCost(absolute) + elif stretch is not None: + ceiling = ceiling_of(stretch) + return ngc.DistributedTE( + ngc.TunnelCount(per_head), + cost_ceiling=ceiling, + min_unreserved_bandwidth=minimum, + ) + + +def run_t1( + edges, heads, destinations, design_demand, per_head, offer=None, + excluded=(), absolute=None, stretch=None, minimum=0, +): # fmt: skip + g = graph_of(edges) + mask = edge_mask(g, excluded) + try: + routing = t1_routing(per_head, absolute, stretch, minimum) + ledger = ngc.FlowLedger(g) + setup = policy(g, heads, destinations, config(routing), mask, ledger) + except (TypeError, ValueError) as e: + return dict(error=error_text(e)) + r = setup.replace(INF, design_demand=design_demand) + tunnels = r.program.tunnels + out = dict( + requested_bandwidth=[t.requested_bandwidth for t in tunnels], + routes=[list(t.edges) if t.edges is not None else [] for t in tunnels], + status=[t.status.name for t in tunnels], + up=sum(t.status == ngc.TunnelStatus.UP for t in tunnels), + total_reserved_bandwidth=r.plan.total_reserved_bandwidth, + edge_reservations=ledger.reserved().tolist(), + bound=r.call_delivered, + ) + if offer is not None: + lossy = policy(g, heads, destinations, config(routing, LY), mask).replace( + offer, design_demand=design_demand + ) + assigned = [t.assigned for t in lossy.by_tunnel] + load = [0] * len(edges) + for t, a in zip(lossy.program.tunnels, assigned, strict=True): + for e in t.edges or (): + load[e] += a + lossless = policy(g, heads, destinations, config(routing), mask).replace( + offer, design_demand=design_demand + ) + out.update( + offered_by_entry=assigned, + source_drops=lossy.call_source_drops, + no_drop_load=load, + lossy_delivery=lossy.call_delivered, + lossy_edge_drops=per_edge(lossy.call_edge_drops, len(edges)), + lossless_admitted=lossless.call_delivered, + lossless_unadmitted=lossless.call_undelivered, + ) + return out + + +def run_head_requests(heads, per_head, design_demand): + # T1's requests in program order, heads with one wide link each. + g = ngc.Graph( + heads + 1, list(range(heads)), [heads] * heads, [WIDE] * heads, [1] * heads, 1.0 + ) + p = policy( + g, + list(range(heads)), + heads, + config(ngc.DistributedTE(ngc.TunnelCount(per_head)), LY), + ) + r = p.replace(0, design_demand=design_demand) + return [t.requested_bandwidth for t in r.program.tunnels] + + +def t2_policy( + edges, + heads, + destinations, + count, + prefer_headroom, + admission, + cap=None, + support=None, + excluded=(), +): + g = graph_of(edges) + routing = ngc.CentralizedTE( + source_allocation=S.EQUAL, + support=None if support is None else dag_of(g, support), + tunnel_count=count, + prefer_headroom=prefer_headroom, + ) + ledger = ngc.FlowLedger(g, cap) + return policy( + g, + heads, + destinations, + config(routing, admission), + edge_mask(g, excluded), + ledger, + ) + + +def run_t2( + edges, heads, destinations, per_head, design_demand=None, cap=None, + prefer_headroom=False, lossy_offer=None, support=None, excluded=(), +): # fmt: skip + count = ngc.TunnelCount(per_head) + p = t2_policy( + edges, heads, destinations, count, prefer_headroom, LL, cap, support, excluded + ) + r = p.replace(INF, design_demand=design_demand) + plan = r.plan + tunnels = r.program.tunnels + counts = [0] * len(edges) + for t in tunnels: + for e in t.edges: + counts[e] += 1 + out = dict( + heads_with_capacity=list(plan.heads_with_capacity), + max_fractional_bandwidth_per_tunnel=plan.max_fractional_bandwidth_per_tunnel, + max_bandwidth_per_tunnel=plan.max_bandwidth_per_tunnel, + planned_bandwidth_per_tunnel=plan.planned_bandwidth_per_tunnel, + total_planned_bandwidth=plan.total_planned_bandwidth, + total_tunnel_cost=plan.total_tunnel_cost, + headroom_penalty=plan.headroom_penalty, + max_lossless_offer=plan.max_lossless_offer, + insufficient_resolution=plan.insufficient_resolution, + design_by_head=[list(x) for x in plan.design_by_head], + tunnels_per_head=plan.tunnels_per_head, + counts=counts, + paths=[list(t.edges) for t in tunnels], + entry_ids=[t.entry_id for t in tunnels], + ) + if lossy_offer is not None: + q = t2_policy( + edges, + heads, + destinations, + count, + prefer_headroom, + LY, + cap, + support, + excluded, + ) + lr = q.replace(lossy_offer, design_demand=design_demand) + out.update( + lossy_delivery=lr.call_delivered, lossy_source_drops=lr.call_source_drops + ) + return out + + +def run_upto( + edges, heads, destinations, limit, design_demand=None, prefer_headroom=False +): + count = ngc.TunnelCount(limit, up_to=True) + p = t2_policy(edges, heads, destinations, count, prefer_headroom, LL) + offer = INF if design_demand is None else design_demand + r = p.replace(offer, design_demand=design_demand) + return dict( + tunnels_per_head=r.plan.tunnels_per_head, + delivered=r.call_delivered, + paths=[list(t.edges) for t in r.program.tunnels], + ) + + +# -- the controllers ------------------------------------------------------------------------------ + + +def run_flow(edges, heads, destinations, limit, source_allocation="EQUAL"): + g = graph_of(edges) + routing = ngc.CentralizedTE(source_allocation=getattr(S, source_allocation)) + r = policy(g, heads, destinations, config(routing)).place( + limit, ngc.OutputOptions(edge_flows=True) + ) + return dict( + delivered=r.call_delivered, cost=r.total_cost, edge_flows=r.edge_flows.tolist() + ) + + +def run_min_cut(edges, heads, destinations): + g = graph_of(edges) + routing = ngc.CentralizedTE(source_allocation=S.OPTIMIZED) + r = policy(g, heads, destinations, config(routing)).place( + INF, ngc.OutputOptions(min_cut=True) + ) + return dict(value=r.call_delivered, cut=r.min_cut) + + +def run_residual_witness(edges, flow, source, sink, value, potentials): + # The library's minimum cost at the value (CentralizedTE up to `value`), against the given + # flow's cost; the cycle costs are the given flow's residual structure (a property of the + # example's flow, read here, not of a library result). + g = graph_of(edges) + r = policy( + g, source, sink, config(ngc.CentralizedTE(source_allocation=S.OPTIMIZED)) + ).place(value) + assert r.call_delivered == value + cost = sum(f * e[3] for f, e in zip(flow, edges, strict=True)) + residual, positive = [], [] + for (a, b, cap, c), f in zip(edges, flow, strict=True): + if f < cap: + residual.append((a, b, c)) + if f: + residual.append((b, a, -c)) + positive.append((a, b, c)) + return dict( + value=value, + cost=cost, + minimum_cost_at_value=r.total_cost, + is_minimum_cost=cost == r.total_cost, + positive_flow_cycle_costs=cycle_costs(positive), + residual_cycle_costs=cycle_costs(residual), + ) + + +def cycle_costs(arcs): + """The costs of the simple cycles of a small arc list (u, v, cost), each cycle once.""" + nodes = {x for a, b, _ in arcs for x in (a, b)} + found = set() + + def walk(start, u, seen, ids): + for i, (a, b, _) in enumerate(arcs): + if a != u: + continue + if b == start: + cycle = ids + [i] + found.add(min(tuple(cycle[k:] + cycle[:k]) for k in range(len(cycle)))) + elif b not in seen: + walk(start, b, seen | {b}, ids + [i]) + + for start in sorted(nodes): + walk(start, start, {start}, []) + return sorted(sum(arcs[i][2] for i in cycle) for cycle in found) + + +def run_evaluate_offer(capacities, offer=None): + # ECMP LOSSY from node 0 over parallel links to node 1 (equal costs: EdgeId = input position): + # the baseline, each deletion, and the baseline's accounting (requested, offered, the drop on + # each link). + k = len(capacities) + g = ngc.Graph(2, [0] * k, [1] * k, list(capacities), [1] * k, 1.0) + opts = ngc.EvaluationOptions(config(ngc.ShortestPaths(), LY), offer=offer) + s = ngc.evaluate_edge_failures(g, 0, 1, opts, 1) + return dict( + baseline=s.baseline.call_delivered, + delivery_reduction=per_edge( + [(x.edge, x.delivery_reduction) for x in s.entries], k + ), + requested=s.baseline.requested, + offered=s.baseline.offered, + edge_drops=per_edge(s.baseline.edge_drops, k), + ) + + +# -- searches and the route choice ------------------------------------------------------------------ + + +def run_search( + edges, source, destinations, residual=None, min_residual=1, k=None, stretch=None +): + g = graph_of(edges) + try: + if k is not None: + options = ngc.KspOptions( + k, + cost_ceiling=None if stretch is None else ceiling_of(stretch), + residual=residual, + ) + found = ngc.ksp(g, source, destinations, options) + return dict(paths=[[cost, [h[0] for h in p.hops()]] for cost, p in found]) + options = ngc.SpfOptions( + ngc.Direction.FORWARD, + targets=[destinations], + residual=residual, + min_residual=min_residual, + ) + r = ngc.spf(g, source, options) + except (TypeError, ValueError) as e: + return dict(error=error_text(e)) + if r.target_cost is None or r.target_cost == ngc.UNREACHABLE: + return dict(distance=None, dag=[]) + return dict(distance=r.target_cost, dag=sorted(r.dag.via_edges().tolist())) + + +def run_tie_choice(edges, source, destination, available=None): + # The single path spf chooses under each RouteTieBreak (availability: the residual). + g = graph_of(edges) + out = {} + for tie in ngc.RouteTieBreak.__members__.values(): + options = ngc.SpfOptions( + ngc.Direction.FORWARD, + targets=[destination], + tie_break=tie, + multipath=False, + residual=available, + ) + out[tie.name] = sorted(ngc.spf(g, source, options).dag.via_edges().tolist()) + return out + + +def run_stretch_values(factors, equal_pairs=()): + values = [] + for spec in factors: + try: + f = ngc.CostStretch(factor_of(spec)).factor + values.append(f"{f.numerator}/{f.denominator}") + except TypeError: + values.append("TypeError") + except ValueError as e: + values.append(str(e)) + equal = [ + ngc.CostStretch(factor_of(a)) == ngc.CostStretch(factor_of(b)) + for a, b in equal_pairs + ] + return dict(values=values, equal=equal) + + +# -- configuration, evaluation and texts ------------------------------------------------------------ + +# 0 -> 1 (e0), 0 -> 2 (e1), 1 -> 2 (e2): one source is [0], two are [0, 1]; the destination is 2. +CONFIG_EDGES = [[0, 1, 5, 1], [0, 2, 5, 1], [1, 2, 5, 1]] +ENUMS = { + "allocation": ngc.RouteAllocation, + "source_allocation": ngc.SourceAllocation, + "weight_basis": ngc.WeightBasis, + "tie_break": ngc.RouteTieBreak, +} +MODELS = { + "ShortestPaths": ngc.ShortestPaths, + "DistributedTE": lambda tunnel_count, **kw: ngc.DistributedTE(tunnel_count, **kw), + "CentralizedTE": ngc.CentralizedTE, + "Pinned": lambda program, **kw: ngc.Pinned(program, **kw), + "FlowPolicyConfig": ngc.FlowPolicyConfig, +} + + +def config_program(g, spec): + """A program of the configuration graph: "p" from 0 to 2, or {"sources", "destinations"}.""" + if spec == "p": + spec = {"sources": [0], "destinations": [2]} + (d,) = spec["destinations"] + route = path_of(g, [0 if d == 1 else 1]) + return ngc.ForwardingProgram.from_routes( + g, spec["sources"], [d], [ngc.RouteDefinition(0, route)] + ) + + +def config_argument(g, key, value): + if key in ENUMS and isinstance(value, str): + return getattr(ENUMS[key], value) + if key == "tunnel_count": + count, *up_to = value.split() + return ngc.TunnelCount(int(count), up_to=up_to == ["up_to"]) + if key == "cost_ceiling": + return ceiling_of(value) + if key == "support": + return dag_of(g, [1]) + if key == "program": + return config_program(g, value) + if key == "routing": + return ngc.ShortestPaths() + return value + + +def resolved(routing): + def name(v): + return "None" if v is None else v.name + + if isinstance(routing, ngc.ShortestPaths): + return ( + f"allocation={name(routing.allocation)}" + f" source_allocation={name(routing.source_allocation)}" + f" weight_basis={name(routing.weight_basis)}" + f" tie_break={name(routing.tie_break)}" + f" multipath={routing.multipath} parallel_edges={routing.parallel_edges}" + ) + if isinstance(routing, ngc.CentralizedTE): + t = routing.tunnel_count + count = "None" if t is None else f"{t.per_head}" + (" up_to" if t.up_to else "") + return ( + f"source_allocation={name(routing.source_allocation)}" + f" support={'None' if routing.support is None else 'dag'}" + f" tunnel_count={count} prefer_headroom={routing.prefer_headroom}" + ) + return "valid" + + +def config_case( + model, kwargs, sources=1, admission="LOSSLESS", cache=False, endpoints=None +): + g = graph_of(CONFIG_EDGES) + try: + value = MODELS[model]( + **{k: config_argument(g, k, v) for k, v in kwargs.items()} + ) + except TypeError as e: + text = str(e) + return ( + f"TypeError: {text}" + if text == "cost_ceiling must be AbsoluteCost, CostStretch or None" + else "TypeError" + ) + if model == "FlowPolicyConfig": + return "constructed" + cfg = ngc.FlowPolicyConfig( + routing=value, admission=getattr(ngc.Admission, admission) + ) + src, dst = ([0], [2]) if sources == 1 else ([0, 1], [2]) + if endpoints is not None: + src, dst = endpoints + tunnels = isinstance(value, ngc.DistributedTE) or ( + isinstance(value, ngc.CentralizedTE) and value.tunnel_count is not None + ) + try: + p = ngc.FlowPolicy( + ngc.FlowLedger(g), + src, + dst, + cfg, + None, + ngc.ShortestPathCache(g) if cache else None, + ) + except ValueError as e: + return str(e) + (p.replace if tunnels else p.place)(0) + return resolved(p.config.routing) + + +def run_model_config(cases): + return [config_case(**c) for c in cases] + + +def evaluation_case( + model, kwargs, admission="LOSSLESS", offer=None, design_demand=None, sources=1 +): + g = graph_of(CONFIG_EDGES) + fields = {k: config_argument(g, k, v) for k, v in kwargs.items()} + if model == "Pinned": + routing = ngc.Pinned(fields["program"]) + elif model == "DistributedTE": + routing = ngc.DistributedTE(fields.pop("tunnel_count"), **fields) + else: + routing = MODELS[model](**fields) + try: + options = ngc.EvaluationOptions( + config(routing, getattr(ngc.Admission, admission)), + offer=offer, + design_demand=design_demand, + ) + except TypeError: + return "TypeError" + src = [0] if sources == 1 else [0, 1] + try: + r = ngc.evaluate_demand(g, src, 2, options) + except ValueError as e: + return str(e) + if r.requested == INF and r.by_source[0].offered is not None: + evaluated = "first-hop experiment" + else: + evaluated = r.requested + design = None if r.plan is None else r.plan.design_demand + return f"offer={evaluated} design_demand={design}" + + +def run_evaluation_validation(cases): + return [evaluation_case(**c) for c in cases] + + +def run_ownership_texts(objects): + # Each object of another graph where it is used. + g = graph_of(CONFIG_EDGES) + other = graph_of(CONFIG_EDGES) + mine = config_program(g, "p") + out = [] + for name in objects: + try: + if name == "program": + policy(g, 0, 2, config(ngc.Pinned(config_program(other, "p")))) + elif name == "support": + cte = ngc.CentralizedTE( + source_allocation=S.OPTIMIZED, support=dag_of(other, [1]) + ) + policy(g, 0, 2, config(cte)) + elif name == "black_holes": + policy( + g, 0, 2, config(ngc.Pinned(mine, black_holes=other.eligibility())) + ) + elif name == "Eligibility": + policy( + g, + 0, + 2, + config(ngc.ShortestPaths()), + other.eligibility(excluded_edges=[0]), + ) + elif name == "ShortestPathCache": + ngc.FlowPolicy( + ngc.FlowLedger(g), + 0, + 2, + config(ngc.ShortestPaths()), + None, + ngc.ShortestPathCache(other), + ) + elif name == "dag": + ngc.ForwardingProgram.from_dag(g, [0], [2], dag_of(other, [1])) + out.append(None) + except ValueError as e: + out.append(str(e)) + return out + + +def run_input_texts(cases): + out = [] + for c in cases: + caps = c["capacities"] + k = len(caps) + g = ngc.Graph(2, [0] * k, [1] * k, list(caps), [1] * k, 1.0) + row = [] + try: + routing = ngc.DistributedTE( + ngc.TunnelCount(1), + min_unreserved_bandwidth=c["min_unreserved_bandwidth"], + ) + policy(g, 0, 1, config(routing)) + row.append(None) + except ValueError as e: + row.append(str(e)) + for baseline in c["reservation_baseline"]: + try: + ngc.FlowLedger(g, reservation_baseline=baseline) + row.append(None) + except ValueError as e: + row.append(str(e)) + out.append(row) + return out + + +ADAPTERS = { + "ha": run_ha, + "split_error": run_split_error, + "bound_sweep": run_bound_sweep, + "member_order": run_member_order, + "pooled": run_pooled, + "ledger": run_ledger, + "refusal": run_refusal, + "increments": run_increments, + "epoch": run_epoch, + "equal_increment": run_equal_increment, + "zero_state": run_zero_state, + "change_flags": run_change_flags, + "lossy": run_lossy, + "bound": run_bound, + "split_contexts": run_split_contexts, + "dag_contexts": run_dag_contexts, + "stale_dag": run_stale_dag, + "stale_paths": run_stale_paths, + "termination": run_termination, + "t1": run_t1, + "head_requests": run_head_requests, + "t2": run_t2, + "upto": run_upto, + "flow": run_flow, + "min_cut": run_min_cut, + "residual_witness": run_residual_witness, + "evaluate_offer": run_evaluate_offer, + "search": run_search, + "tie_choice": run_tie_choice, + "stretch_values": run_stretch_values, + "model_config": run_model_config, + "evaluation_validation": run_evaluation_validation, + "ownership_texts": run_ownership_texts, + "input_texts": run_input_texts, +} + + +EXAMPLES = [ + { + "id": "E-configured", + "oracle": "ha", + "input": {"n": 12, "weights": [1, 2]}, + "expected": [4, 8], + }, + { + "id": "E-snapshot", + "oracle": "ha", + "input": {"n": 12, "weights": [2, 10]}, + "expected": [2, 10], + }, + { + "id": "E-source-survivor", + "oracle": "ha", + "input": {"n": 16, "weights": [3, 1]}, + "expected": [12, 4], + }, + { + "id": "H-not-one-unit", + "oracle": "ha", + "input": {"n": 50, "weights": [100, 1, 1, 1]}, + "expected": [50, 0, 0, 0], + }, + { + "id": "R3-H-large", + "oracle": "ha", + "input": { + "n": 85070591730234615865843651857942052863, + "weights": [ + 42535295865117307932921825928971026432, + 42535295865117307932921825928971026432, + ], + }, + "expected": [ + 42535295865117307932921825928971026432, + 42535295865117307932921825928971026431, + ], + }, + { + "id": "H-local-bound", + "oracle": "split_error", + "input": {"n": 1000000, "weights": [1000000, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}, + "expected": { + "assigned": [1000000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], + "max_excess": "1000000/100001", + "max_deficit": "100000/100001", + "below_k": True, + }, + }, + { + "id": "RR-local-bound", + "oracle": "split_error", + "input": {"n": 10, "weights": [1, 1, 1]}, + "expected": { + "assigned": [4, 3, 3], + "max_excess": "2/3", + "max_deficit": "1/3", + "below_one": True, + }, + }, + { + "id": "H-bound-sweep", + "oracle": "bound_sweep", + "input": {"max_total": 24, "max_members": 4, "max_weight": 4}, + "expected": {"cases": 19400, "violations": 0, "equal_violations": 0}, + }, + { + "id": "R3-member-order", + "oracle": "member_order", + "input": {"amount": 1, "order": [1, 0]}, + "expected": [0, 1], + }, + { + "id": "B-pooled", + "oracle": "pooled", + "input": {"sources": [1, 1], "members": 2}, + "expected": { + "columns": [1, 1], + "source_by_column": [[1, 0], [0, 1]], + "independent_columns": [2, 0], + }, + }, + { + "id": "SPF-zero-edge", + "oracle": "search", + "input": { + "edges": [[0, 1, 0, 1], [0, 2, 5, 1], [2, 1, 5, 1]], + "source": 0, + "destinations": 1, + }, + "expected": {"distance": 1, "dag": [0]}, + }, + { + "id": "SPF-zero-edge-residual", + "oracle": "search", + "input": { + "edges": [[0, 1, 0, 1], [0, 2, 5, 1], [2, 1, 5, 1]], + "source": 0, + "destinations": 1, + "residual": [0, 5, 5], + }, + "expected": {"distance": 2, "dag": [1, 2]}, + }, + { + "id": "KSP-zero-edge", + "oracle": "search", + "input": { + "edges": [[0, 1, 0, 1], [0, 2, 5, 1], [2, 1, 5, 1]], + "source": 0, + "destinations": 1, + "k": 2, + }, + "expected": {"paths": [[1, [0]], [2, [1, 2]]]}, + }, + { + "id": "KSP-zero-edge-residual", + "oracle": "search", + "input": { + "edges": [[0, 1, 0, 1], [0, 2, 5, 1], [2, 1, 5, 1]], + "source": 0, + "destinations": 1, + "k": 2, + "residual": [0, 5, 5], + }, + "expected": {"paths": [[2, [1, 2]]]}, + }, + { + "id": "B1-equal", + "oracle": "flow", + "input": { + "edges": [[0, 3, 2, 1], [1, 2, 10, 1], [2, 3, 10, 2]], + "heads": [0, 1], + "destinations": [3], + "limit": 12, + "source_allocation": "EQUAL", + }, + "expected": {"cost": 8, "delivered": 4, "edge_flows": [2, 2, 2]}, + }, + { + "id": "B1-optimized", + "oracle": "flow", + "input": { + "edges": [[0, 3, 2, 1], [1, 2, 10, 1], [2, 3, 10, 2]], + "heads": [0, 1], + "destinations": [3], + "limit": 12, + "source_allocation": "OPTIMIZED", + }, + "expected": {"cost": 32, "delivered": 12, "edge_flows": [2, 10, 10]}, + }, + { + "id": "MINCUT-B1", + "oracle": "min_cut", + "input": { + "edges": [[0, 3, 2, 1], [1, 2, 10, 1], [2, 3, 10, 2]], + "heads": [0, 1], + "destinations": [3], + }, + "expected": {"value": 12, "cut": [0, 1]}, + }, + { + "id": "MINCUT-zero-edge", + "oracle": "min_cut", + "input": { + "edges": [[0, 2, 0, 1], [1, 2, 10, 1]], + "heads": [0, 1], + "destinations": [2], + }, + "expected": {"value": 10, "cut": [0, 1]}, + }, + { + "id": "B2-equal-global", + "oracle": "flow", + "input": { + "edges": [[0, 1, 4, 1], [0, 2, 2, 1], [1, 2, 10, 1]], + "heads": [0, 1], + "destinations": [2], + "limit": 12, + }, + "expected": {"cost": 16, "delivered": 12, "edge_flows": [4, 2, 10]}, + }, + { + "id": "B2-shortest", + "oracle": "flow", + "input": { + "edges": [[0, 2, 2, 1], [1, 2, 10, 1]], + "heads": [0, 1], + "destinations": [2], + "limit": 12, + "source_allocation": "EQUAL", + }, + "expected": {"cost": 4, "delivered": 4, "edge_flows": [2, 2]}, + }, + { + "id": "B2-optimized", + "oracle": "flow", + "input": { + "edges": [[0, 1, 4, 1], [0, 2, 2, 1], [1, 2, 10, 1]], + "heads": [0, 1], + "destinations": [2], + "limit": 12, + "source_allocation": "OPTIMIZED", + }, + "expected": {"cost": 12, "delivered": 12, "edge_flows": [0, 2, 10]}, + }, + { + "id": "B3-zero-first", + "oracle": "flow", + "input": { + "edges": [[0, 2, 0, 1], [1, 2, 10, 1]], + "heads": [0, 1], + "destinations": [2], + "limit": 10, + }, + "expected": {"delivered": 0, "cost": 0, "edge_flows": [0, 0]}, + }, + { + "id": "B3-positive-first", + "oracle": "flow", + "input": { + "edges": [[0, 2, 10, 1], [1, 2, 0, 1]], + "heads": [0, 1], + "destinations": [2], + "limit": 10, + }, + "expected": {"delivered": 1, "cost": 1, "edge_flows": [1, 0]}, + }, + { + "id": "B3-delete-zero", + "oracle": "flow", + "input": { + "edges": [[0, 2, 0, 1], [1, 2, 10, 1]], + "heads": [1], + "destinations": [2], + "limit": 10, + }, + "expected": {"delivered": 10, "cost": 10, "edge_flows": [0, 10]}, + }, + { + "id": "E-support", + "oracle": "flow", + "input": { + "edges": [[0, 1, 10, 1], [0, 2, 10, 1], [1, 3, 2, 1], [2, 3, 10, 2]], + "heads": [0], + "destinations": [3], + "limit": 12, + }, + "expected": {"cost": 34, "delivered": 12, "edge_flows": [2, 10, 2, 10]}, + }, + { + "id": "E-support-shortest", + "oracle": "flow", + "input": { + "edges": [[0, 1, 10, 1], [1, 3, 2, 1]], + "heads": [0], + "destinations": [3], + "limit": 12, + }, + "expected": {"delivered": 2, "cost": 4, "edge_flows": [2, 2]}, + }, + { + "id": "T2-OPT-global", + "oracle": "flow", + "input": { + "edges": [[0, 2, 2, 1], [1, 2, 10, 1]], + "heads": [0, 1], + "destinations": [2], + "limit": 12, + "source_allocation": "OPTIMIZED", + }, + "expected": {"delivered": 12, "cost": 12, "edge_flows": [2, 10]}, + }, + { + "id": "R4-lossless-equal", + "oracle": "equal_increment", + "input": {"capacities": [2, 10], "costs": [9, 1], "calls": [3, 3]}, + "expected": { + "call_deliveries": [3, 1], + "allocation": [2, 2], + "delivered": 4, + "cost": 20, + }, + }, + { + "id": "R3-residual-optimal", + "oracle": "residual_witness", + "input": { + "edges": [[0, 1, 1, 1], [0, 2, 1, 1], [1, 0, 1, 1]], + "flow": [0, 1, 0], + "source": 0, + "sink": 2, + "value": 1, + "potentials": [0, 0, 1], + }, + "expected": { + "is_minimum_cost": True, + "cost": 1, + "residual_cycle_costs": [2], + "positive_flow_cycle_costs": [], + }, + }, + { + "id": "R3-residual-cyclic", + "oracle": "residual_witness", + "input": { + "edges": [[0, 1, 1, 1], [0, 2, 1, 1], [1, 0, 1, 1]], + "flow": [1, 1, 1], + "source": 0, + "sink": 2, + "value": 1, + "potentials": [0, 0, 1], + }, + "expected": { + "is_minimum_cost": False, + "cost": 3, + "minimum_cost_at_value": 1, + "residual_cycle_costs": [-2], + "positive_flow_cycle_costs": [2], + }, + }, + { + "id": "A-X1", + "oracle": "t1", + "input": { + "edges": [[0, 1, 6, 1], [0, 1, 6, 2]], + "heads": [0], + "destinations": [1], + "design_demand": 12, + "per_head": 4, + "offer": 13, + }, + "expected": { + "lossy_delivery": 12, + "lossy_edge_drops": [1, 0], + "lossless_admitted": 12, + "lossless_unadmitted": 1, + "bound": 12, + "no_drop_load": [7, 6], + "offered_by_entry": [4, 3, 3, 3], + "requested_bandwidth": [3, 3, 3, 3], + "total_reserved_bandwidth": 12, + "edge_reservations": [6, 6], + "routes": [[0], [0], [1], [1]], + "source_drops": 0, + "up": 4, + }, + }, + { + "id": "A-X2", + "oracle": "t1", + "input": { + "edges": [[0, 1, 3, 1], [0, 1, 2, 2]], + "heads": [0], + "destinations": [1], + "design_demand": 5, + "per_head": 2, + "offer": 5, + }, + "expected": { + "bound": 5, + "no_drop_load": [3, 2], + "offered_by_entry": [3, 2], + "requested_bandwidth": [3, 2], + "total_reserved_bandwidth": 5, + "edge_reservations": [3, 2], + "routes": [[0], [1]], + "source_drops": 0, + "up": 2, + }, + }, + { + "id": "A-X2-small-share", + "oracle": "t1", + "input": { + "edges": [[0, 1, 6, 1], [0, 1, 6, 2]], + "heads": [0], + "destinations": [1], + "design_demand": 1, + "per_head": 2, + "offer": 1, + }, + "expected": { + "bound": 6, + "no_drop_load": [1, 0], + "offered_by_entry": [1, 0], + "requested_bandwidth": [1, 0], + "total_reserved_bandwidth": 1, + "edge_reservations": [1, 0], + "routes": [[0], [0]], + "status": ["UP", "UP"], + "source_drops": 0, + "up": 2, + }, + }, + { + "id": "T1-over-reservation", + "oracle": "t1", + "input": { + "edges": [[0, 1, 5, 1], [0, 1, 5, 1]], + "heads": [0], + "destinations": [1], + "design_demand": 8, + "per_head": 2, + "offer": 10, + }, + "expected": { + "requested_bandwidth": [4, 4], + "routes": [[0], [1]], + "edge_reservations": [4, 4], + "offered_by_entry": [5, 5], + "no_drop_load": [5, 5], + "lossy_delivery": 10, + "lossy_edge_drops": [0, 0], + "bound": 10, + }, + }, + { + "id": "T1-zero-link-drop", + "oracle": "t1", + "input": { + "edges": [[0, 1, 0, 1]], + "heads": [0], + "destinations": [1], + "design_demand": 0, + "per_head": 1, + "offer": 1, + }, + "expected": { + "requested_bandwidth": [0], + "routes": [[0]], + "status": ["UP"], + "offered_by_entry": [1], + "source_drops": 0, + "lossy_delivery": 0, + "lossy_edge_drops": [1], + "bound": 0, + "lossless_admitted": 0, + "lossless_unadmitted": 1, + }, + }, + { + "id": "A-X3", + "oracle": "t1", + "input": { + "edges": [[0, 1, 2, 1], [0, 1, 10, 2]], + "heads": [0], + "destinations": [1], + "design_demand": 12, + "per_head": 4, + "offer": 12, + }, + "expected": { + "bound": 10, + "no_drop_load": [0, 12], + "offered_by_entry": [4, 4, 4, 0], + "requested_bandwidth": [3, 3, 3, 3], + "total_reserved_bandwidth": 9, + "edge_reservations": [0, 9], + "routes": [[1], [1], [1], []], + "source_drops": 0, + "up": 3, + "status": ["UP", "UP", "UP", "INSUFFICIENT_BANDWIDTH"], + }, + }, + { + "id": "A-X4", + "oracle": "t1", + "input": { + "edges": [[0, 2, 6, 1], [1, 2, 6, 1], [2, 3, 6, 1]], + "heads": [0, 1], + "destinations": [3], + "design_demand": 12, + "per_head": 2, + "offer": 12, + }, + "expected": { + "bound": 6, + "no_drop_load": [6, 6, 12], + "offered_by_entry": [6, 6, 0, 0], + "requested_bandwidth": [3, 3, 3, 3], + "total_reserved_bandwidth": 6, + "edge_reservations": [3, 3, 6], + "routes": [[0, 2], [1, 2], [], []], + "source_drops": 0, + "up": 2, + }, + }, + { + "id": "A-X5", + "oracle": "t1", + "input": { + "edges": [[0, 3, 20, 1], [1, 3, 20, 1], [2, 3, 20, 1]], + "heads": [0, 1, 2], + "destinations": [3], + "design_demand": 2, + "per_head": 1, + "offer": 3, + }, + "expected": { + "bound": 60, + "no_drop_load": [1, 1, 1], + "offered_by_entry": [1, 1, 1], + "requested_bandwidth": [1, 1, 0], + "total_reserved_bandwidth": 2, + "edge_reservations": [1, 1, 0], + "routes": [[0], [1], [2]], + "source_drops": 0, + "up": 3, + }, + }, + { + "id": "T1-split", + "oracle": "head_requests", + "input": {"heads": 2, "per_head": 2, "design_demand": 5}, + "expected": [2, 1, 1, 1], + }, + { + "id": "A-X6", + "oracle": "t1", + "input": { + "edges": [[0, 1, 5, 1], [0, 1, 5, 1]], + "heads": [0], + "destinations": [1], + "design_demand": 8, + "per_head": 2, + "offer": 8, + }, + "expected": { + "bound": 10, + "no_drop_load": [4, 4], + "offered_by_entry": [4, 4], + "requested_bandwidth": [4, 4], + "total_reserved_bandwidth": 8, + "edge_reservations": [4, 4], + "routes": [[0], [1]], + "source_drops": 0, + "up": 2, + }, + }, + { + "id": "A-X8", + "oracle": "t1", + "input": { + "edges": [[0, 2, 0, 1], [1, 2, 8, 3]], + "heads": [0, 1], + "destinations": [2], + "design_demand": 4, + "per_head": 1, + "offer": 4, + }, + "expected": { + "bound": 0, + "no_drop_load": [0, 2], + "offered_by_entry": [0, 2], + "requested_bandwidth": [2, 2], + "total_reserved_bandwidth": 2, + "edge_reservations": [0, 2], + "routes": [[], [1]], + "source_drops": 2, + "up": 1, + }, + }, + { + "id": "A-X9", + "oracle": "t1", + "input": { + "edges": [ + [0, 1, 8192, 1], + [0, 2, 40960, 1], + [1, 3, 8192, 1], + [2, 3, 40960, 1], + ], + "heads": [0], + "destinations": [3], + "design_demand": 49152, + "per_head": 16, + "offer": 49152, + }, + "expected": { + "bound": 47262, + "no_drop_load": [6554, 42598, 6554, 42598], + "offered_by_entry": [ + 3277, + 3277, + 3277, + 3277, + 3277, + 3277, + 3277, + 3277, + 3277, + 3277, + 3277, + 3277, + 3276, + 3276, + 3276, + 0, + ], + "requested_bandwidth": [ + 3072, + 3072, + 3072, + 3072, + 3072, + 3072, + 3072, + 3072, + 3072, + 3072, + 3072, + 3072, + 3072, + 3072, + 3072, + 3072, + ], + "total_reserved_bandwidth": 46080, + "edge_reservations": [6144, 39936, 6144, 39936], + "routes": [ + [0, 2], + [0, 2], + [1, 3], + [1, 3], + [1, 3], + [1, 3], + [1, 3], + [1, 3], + [1, 3], + [1, 3], + [1, 3], + [1, 3], + [1, 3], + [1, 3], + [1, 3], + [], + ], + "source_drops": 0, + "up": 15, + }, + }, + { + "id": "A-X9-large-design", + "oracle": "t1", + "input": { + "edges": [ + [0, 1, 8192, 1], + [0, 2, 40960, 1], + [1, 3, 8192, 1], + [2, 3, 40960, 1], + ], + "heads": [0], + "destinations": [3], + "design_demand": 409600, + "per_head": 16, + }, + "expected": { + "bound": 40960, + "requested_bandwidth": [ + 25600, + 25600, + 25600, + 25600, + 25600, + 25600, + 25600, + 25600, + 25600, + 25600, + 25600, + 25600, + 25600, + 25600, + 25600, + 25600, + ], + "total_reserved_bandwidth": 25600, + "edge_reservations": [0, 25600, 0, 25600], + "routes": [ + [1, 3], + [], + [], + [], + [], + [], + [], + [], + [], + [], + [], + [], + [], + [], + [], + [], + ], + "up": 1, + }, + }, + { + "id": "A-X8-delete-zero-edge", + "oracle": "t1", + "input": { + "edges": [[0, 2, 0, 1], [1, 2, 8, 3]], + "heads": [0, 1], + "destinations": [2], + "design_demand": 4, + "per_head": 1, + "excluded": [0], + }, + "expected": { + "bound": 8, + "requested_bandwidth": [4], + "total_reserved_bandwidth": 4, + "edge_reservations": [0, 4], + "routes": [[1]], + "up": 1, + }, + }, + { + "id": "A-X8-Stretch2", + "oracle": "t1", + "input": { + "edges": [[0, 2, 0, 1], [1, 2, 8, 3]], + "heads": [0, 1], + "destinations": [2], + "design_demand": 4, + "per_head": 1, + "stretch": Fraction(2, 1), + }, + "expected": { + "bound": 0, + "requested_bandwidth": [2, 2], + "total_reserved_bandwidth": 0, + "edge_reservations": [0, 0], + "routes": [[], []], + "up": 0, + "status": ["INSUFFICIENT_BANDWIDTH", "COST_CEILING_EXCEEDED"], + }, + }, + { + "id": "A-X8-Absolute3", + "oracle": "t1", + "input": { + "edges": [[0, 2, 0, 1], [1, 2, 8, 3]], + "heads": [0, 1], + "destinations": [2], + "design_demand": 4, + "per_head": 1, + "absolute": 3, + }, + "expected": { + "bound": 0, + "requested_bandwidth": [2, 2], + "total_reserved_bandwidth": 2, + "edge_reservations": [0, 2], + "routes": [[], [1]], + "up": 1, + "status": ["INSUFFICIENT_BANDWIDTH", "UP"], + }, + }, + { + "id": "A-X8-Stretch-exact", + "oracle": "t1", + "input": { + "edges": [[0, 1, 0, 5], [0, 1, 1, 6]], + "heads": [0], + "destinations": [1], + "design_demand": 1, + "per_head": 1, + "offer": 1, + "stretch": 1.2, + }, + "expected": { + "status": ["UP"], + "routes": [[1]], + "up": 1, + "lossy_delivery": 1, + "source_drops": 0, + "lossless_admitted": 1, + }, + }, + { + "id": "A-X8-Stretch-cost7", + "oracle": "t1", + "input": { + "edges": [[0, 1, 0, 5], [0, 1, 1, 7]], + "heads": [0], + "destinations": [1], + "design_demand": 1, + "per_head": 1, + "offer": 1, + "stretch": Fraction(6, 5), + }, + "expected": { + "status": ["COST_CEILING_EXCEEDED"], + "routes": [[]], + "up": 0, + "lossy_delivery": 0, + "source_drops": 1, + "lossless_admitted": 0, + }, + }, + { + "id": "A-X7-8", + "oracle": "t1", + "input": { + "edges": [ + [0, 1, 6, 1], + [0, 2, 6, 3], + [1, 2, 4, 1], + [1, 3, 6, 3], + [2, 3, 6, 1], + ], + "heads": [0], + "destinations": [3], + "design_demand": 8, + "per_head": 2, + }, + "expected": { + "requested_bandwidth": [4, 4], + "routes": [[0, 2, 4], []], + "up": 1, + "total_reserved_bandwidth": 4, + "edge_reservations": [4, 0, 4, 0, 4], + "bound": 4, + }, + }, + { + "id": "A-X7-10", + "oracle": "t1", + "input": { + "edges": [ + [0, 1, 6, 1], + [0, 2, 6, 3], + [1, 2, 4, 1], + [1, 3, 6, 3], + [2, 3, 6, 1], + ], + "heads": [0], + "destinations": [3], + "design_demand": 10, + "per_head": 2, + }, + "expected": { + "requested_bandwidth": [5, 5], + "routes": [[0, 3], [1, 4]], + "up": 2, + "total_reserved_bandwidth": 10, + "edge_reservations": [5, 5, 0, 5, 5], + "bound": 12, + }, + }, + { + "id": "A-X7-14", + "oracle": "t1", + "input": { + "edges": [ + [0, 1, 6, 1], + [0, 2, 6, 3], + [1, 2, 4, 1], + [1, 3, 6, 3], + [2, 3, 6, 1], + ], + "heads": [0], + "destinations": [3], + "design_demand": 14, + "per_head": 2, + }, + "expected": { + "requested_bandwidth": [7, 7], + "routes": [[], []], + "up": 0, + "total_reserved_bandwidth": 0, + "edge_reservations": [0, 0, 0, 0, 0], + "bound": 0, + }, + }, + { + "id": "T1-two-heads", + "oracle": "t1", + "input": { + "edges": [[0, 2, 2, 1], [1, 2, 10, 1]], + "heads": [0, 1], + "destinations": [2], + "design_demand": 12, + "per_head": 2, + "offer": 12, + }, + "expected": { + "requested_bandwidth": [3, 3, 3, 3], + "routes": [[], [1], [], [1]], + "status": ["INSUFFICIENT_BANDWIDTH", "UP", "INSUFFICIENT_BANDWIDTH", "UP"], + "up": 2, + "total_reserved_bandwidth": 6, 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[2, 3, 100, 1]], + "sources": [0], + "destinations": 3, + "offer": 100, + "weights": [1, 1, 1, 1], + "black_links": [3], + }, + "expected": { + "delivered": 50, + "edge_flows": [50, 50, 50, 0], + "edge_drops": [0, 0, 0, 50], + }, + }, + { + "id": "STALE-remote-tail-repair", + "oracle": "stale_dag", + "input": { + "edges": [[0, 1, 100, 1], [0, 2, 100, 1], [1, 3, 100, 1], [2, 3, 100, 1]], + "sources": [0], + "destinations": 3, + "offer": 100, + "weights": [1, 1, 1, 1], + "mask_links": [3], + }, + "expected": { + "delivered": 100, + "edge_flows": [100, 0, 100, 0], + "edge_drops": [0, 0, 0, 0], + }, + }, + { + "id": "STALE-wcmp-member", + "oracle": "stale_dag", + "input": { + "edges": [[0, 1, 10, 1], [0, 1, 40, 1]], + "sources": [0], + "destinations": 1, + "offer": 40, + "weights": [10, 40], + "black_links": [0], + }, + "expected": {"delivered": 32, "edge_flows": [0, 32], "edge_drops": [8, 0]}, + }, + { + "id": "STALE-wcmp-zero-capacity", + "oracle": "stale_dag", + "input": { + "edges": [[0, 1, 0, 1], [0, 1, 40, 1]], + "sources": [0], + "destinations": 1, + "offer": 40, + "weights": [0, 40], + }, + "expected": {"delivered": 40, "edge_flows": [0, 40], "edge_drops": [0, 0]}, + }, + { + "id": "STALE-relief", + "oracle": "stale_paths", + "input": { + "edges": [[0, 2, 10, 1], [1, 2, 10, 1], [2, 3, 10, 1]], + "tunnels": [[0, [0, 2]], [1, [1, 2]]], + "offers": {0: 10, 1: 10}, + "black_links": [0], + }, + "expected": { + "status": ["BLACKHOLED", "UP"], + "delivered": [0, 10], + "edge_drops": [10, 0, 0], + }, + }, + { + "id": "STALE-relief-original", + "oracle": "stale_paths", + "input": { + "edges": [[0, 2, 10, 1], [1, 2, 10, 1], [2, 3, 10, 1]], + "tunnels": [[0, [0, 2]], [1, [1, 2]]], + "offers": {0: 10, 1: 10}, + }, + "expected": { + "status": ["UP", "UP"], + "delivered": [5, 5], + "edge_drops": [0, 0, 10], + }, + }, + { + "id": "STALE-tunnel-node", + "oracle": "stale_paths", + "input": { + "edges": [[0, 1, 10, 1], [0, 2, 10, 1], [1, 3, 10, 1], [2, 3, 10, 1]], + "tunnels": [[0, [0, 2]], [0, [1, 3]]], + "offers": {0: 10}, + "black_nodes": [2], + }, + "expected": { + "status": ["UP", "BLACKHOLED"], + "assigned": [5, 5], + "delivered": [5, 0], + "edge_drops": [0, 5, 0, 0], + "lossless_admitted": 1, + }, + }, + { + "id": "STALE-tunnel-node-repair", + "oracle": "stale_paths", + "input": { + "edges": [[0, 1, 10, 1], [0, 2, 10, 1], [1, 3, 10, 1], [2, 3, 10, 1]], + "tunnels": [[0, [0, 2]], [0, [1, 3]]], + "offers": {0: 10}, + "mask_nodes": [2], + }, + "expected": { + "status": ["UP", "FAILED"], + "assigned": [10, 0], + "delivered": [10, 0], + "edge_drops": [0, 0, 0, 0], + "lossless_admitted": 10, + }, + }, + { + "id": "STALE-pooled-original", + "oracle": "stale_dag", + "input": { + "edges": [[0, 2, 10, 1], [1, 2, 10, 1], [2, 3, 10, 1], [2, 3, 10, 1]], + "sources": [0, 1], + "destinations": 3, + "offer": 2, + "weights": [1, 1, 1, 1], + }, + "expected": { + "delivered": 2, + "edge_flows": [1, 1, 1, 1], + "edge_drops": [0, 0, 0, 0], + "source_drops": 0, + }, + }, + { + "id": "STALE-pooled-remainder", + "oracle": "stale_dag", + "input": { + "edges": [[0, 2, 10, 1], [1, 2, 10, 1], [2, 3, 10, 1], [2, 3, 10, 1]], + "sources": [0, 1], + "destinations": 3, + "offer": 2, + "weights": [1, 1, 1, 1], + "black_links": [0, 3], + }, + "expected": { + "delivered": 1, + "edge_flows": [0, 1, 1, 0], + "edge_drops": [1, 0, 0, 0], + "source_drops": 0, + }, + }, + { + "id": "STALE-all-zero-weight", + "oracle": "stale_dag", + "input": { + "edges": [[0, 1, 0, 1]], + "sources": [0], + "destinations": 1, + "offer": 2, + "weights": [0], + }, + "expected": { + "delivered": 0, + "edge_flows": [0], + "edge_drops": [0], + "source_drops": 2, + }, + }, + { + "id": "STALE-black-source", + "oracle": "stale_dag", + "input": { + "edges": [[0, 1, 10, 1]], + "sources": [0], + "destinations": 1, + "offer": 10, + "weights": [1], + "black_nodes": [0], + }, + "expected": { + "delivered": 0, + "source_drops": 10, + "edge_flows": [0], + "edge_drops": [0], + }, + }, + { + "id": "STALE-black-source-tunnel", + "oracle": "stale_paths", + "input": { + "edges": [[0, 1, 10, 1]], + "tunnels": [[0, [0]]], + "offers": {0: 10}, + "black_nodes": [0], + }, + "expected": { + "status": ["BLACKHOLED"], + "assigned": [0], + "delivered": [0], + "source_drops": 10, + "edge_drops": [0], + }, + }, + { + "id": "STALE-mask-and-black-hole", + "oracle": "stale_paths", + "input": { + "edges": [ + [0, 1, 10, 1], + [0, 2, 10, 1], + [0, 3, 10, 1], + [1, 4, 10, 1], + [2, 4, 10, 1], + [3, 4, 10, 1], + ], + "tunnels": [[0, [0, 3]], [0, [1, 4]], [0, [2, 5]]], + "offers": {0: 10}, + "mask_links": [3], + "black_links": [3, 4], + }, + "expected": { + "status": ["FAILED", "BLACKHOLED", "UP"], + "assigned": [0, 5, 5], + "delivered": [0, 0, 5], + "edge_drops": [0, 0, 0, 0, 5, 0], + "source_drops": 0, + }, + }, + { + "id": "D-merge", + "oracle": "lossy", + "input": {"offers": [8, 4], "routes": [[0], [0]], "cap": [9]}, + "expected": { + "carried": [[6], [3]], + "edge_drops": [[2], [1]], + "delivered": [6, 3], + "edge_flows": [9], + }, + }, + { + "id": "D-key-tie", + "oracle": "lossy", + "input": {"offers": [1, 1], "routes": [[0], [0]], "cap": [1]}, + "expected": { + "carried": [[1], [0]], + "edge_drops": [[0], [1]], + "delivered": [1, 0], + "edge_flows": [1], + }, + }, + { + "id": "D-rounding", + "oracle": "lossy", + "input": {"offers": [5, 1, 1], "routes": [[0], [0], [0]], "cap": [3]}, + "expected": { + "carried": [[3], [0], [0]], + "edge_drops": [[2], [1], [1]], + "delivered": [3, 0, 0], + "edge_flows": [3], + }, + }, + { + "id": "D-hierarchy", + "oracle": "lossy", + "input": { + "offers": [1, 1, 2], + "routes": [[0], [0], [0]], + "cap": [1], + "labels": [[0, 0, 0], [0, 0, 1], [1, 0, 0]], + }, + "expected": { + "carried": [[1], [0], [0]], + "edge_drops": [[0], [1], [2]], + "delivered": [1, 0, 0], + "edge_flows": [1], + }, + }, + { + "id": "D-cycle-compressed", + "oracle": "lossy", + "input": {"offers": [1, 1], "routes": [[0, 1], [1, 0]], "cap": [2, 2]}, + "expected": { + "carried": [[1, 1], [1, 1]], + "edge_drops": [[0, 0], [0, 0]], + "delivered": [1, 1], + "edge_flows": [2, 2], + }, + }, + { + "id": "D-zero-service", + "oracle": "lossy", + "input": {"offers": [2], "routes": [[0]], "cap": [0]}, + "expected": { + "carried": [[0]], + "edge_drops": [[2]], + "delivered": [0], + "edge_flows": [0], + }, + }, + { + "id": "D-subdivision-before", + "oracle": "lossy", + "input": { + "offers": [1, 1, 1], + "routes": [[0, 1], [0, 2], [0, 3]], + "cap": [1, 1, 1, 1], + "labels": [[0, 0, 0], [0, 0, 1], [0, 0, 2]], + }, + "expected": { + "carried": [[1, 1], [0, 0], [0, 0]], + "delivered": [1, 0, 0], + "edge_flows": [1, 1, 0, 0], + }, + }, + { + "id": "D-subdivision-after", + "oracle": "lossy", + "input": { + "offers": [1, 1, 1], + "routes": [[0, 1, 2], [0, 3], [0, 4]], + "cap": [1, 1, 1, 1, 1], + "labels": [[0, 0, 0], [0, 0, 1], [0, 0, 2]], + }, + "expected": { + "carried": [[1, 1, 1], [0, 0], [0, 0]], + "delivered": [1, 0, 0], + "edge_flows": [1, 1, 1, 0, 0], + }, + }, + { + "id": "E-support-pinned-loss", + "oracle": "lossy", + "input": { + "offers": [6, 6], + "routes": [[0, 1], [2, 3]], + "cap": [10, 2, 10, 10], + "labels": [[0, 0, 0], [0, 0, 1]], + }, + "expected": { + "carried": [[6, 2], [6, 6]], + "edge_drops": [[0, 4], [0, 0]], + "delivered": [2, 6], + "edge_flows": [6, 2, 6, 6], + }, + }, + { + "id": "D-C2", + "oracle": "lossy", + "input": {"offers": [1, 2], "routes": [[0, 1], [1, 0]], "cap": [1, 2]}, + "expected": { + "error": "lossy forwarding iteration entered a period-2 cycle", + "rounds": 3, + }, + }, + { + "id": "E-ledger", + "oracle": "ledger", + "input": { + "service": 10, + "reservation": 10, + "carried": 4, + "strict": 6, + "new_delivery": 2, + "old_delivery": 4, + }, + "expected": { + "carried": 4, + "residual": 6, + "reserved": 6, + "unreserved": 4, + "delivery_delta": -2, + }, + }, + { + "id": "RC02-increment", + "oracle": "epoch", + "input": {"cap": [1, 1], "calls": [1, 1]}, + "expected": { + "requested": 2, + "delivered": 1, + "edge_drops": 1, + "edge_flows": [1, 0], + "residual": [0, 1], + "per_call_delivery": [1, 0], + }, + }, + { + "id": "RC02-increment-lossless", + "oracle": "epoch", + "input": {"cap": [1, 1], "calls": [1, 1], "admission": "LOSSLESS"}, + "expected": { + "requested": 2, + "delivered": 2, + "edge_drops": 0, + "edge_flows": [1, 1], + "residual": [0, 0], + "per_call_delivery": [1, 1], + }, + }, + { + "id": "RC02-full", + "oracle": "epoch", + "input": {"cap": [1, 1], "calls": [1, 1], "full": True}, + "expected": { + "requested": 2, + "delivered": 2, + "edge_drops": 0, + "edge_flows": [1, 1], + "residual": [0, 0], + "per_call_delivery": [2], + }, + }, + { + "id": "INC-lossless", + "oracle": "increments", + "input": {"caps": [1, 3], "calls": [3, 1], "admission": "LOSSLESS"}, + "expected": { + "call_delivered": [2, 0], + "requested": 4, + "admitted": 2, + "unadmitted": 2, + "offered": None, + "delivered": 2, + }, + }, + { + "id": "INC-lossy", + "oracle": "increments", + "input": {"caps": [1, 3], "calls": [3, 1], "admission": "LOSSY"}, + "expected": { + "call_delivered": [2, 1], + "requested": 4, + "offered": 4, + "edge_drops": [1, 0], + "unadmitted": 0, + "delivered": 3, + }, + }, + { + "id": "INC-lossless-refusal", + "oracle": "increments", + "input": { + "caps": [10], + "calls": [5, 1], + "admission": "LOSSLESS", + "outside": [[8], [5]], + }, + "expected": { + "call_delivered": [2, 1], + "requested": 6, + "admitted": 3, + "unadmitted": 3, + "delivered": 3, + }, + }, + { + "id": "R4-refusal", + "oracle": "refusal", + "input": {"capacity": 10, "outside": [8, 5], "calls": [5, 1]}, + "expected": {"correct": [2, 3], "requeue": [2, 5]}, + }, + { + "id": "RC02-zero-unprepared", + "oracle": "zero_state", + "input": {"service": [5, 8], "outside": [1, 2]}, + "expected": { + "call_delivered": 0, + "call_undelivered": 0, + "delivery_delta": 0, + "call_edge_drops": [], + "call_source_drops": 0, + "termination": "COMPLETE", + "routes_changed": False, + "weights_changed": False, + "reservations_changed": False, + "program": None, + "edge_flows": [0, 0], + "edge_reservations": [0, 0], + "residual": [4, 6], + "min_cut": None, + "marginal_cost_curve": None, + }, + }, + { + "id": "FLAGS-controller-increment", + "oracle": "change_flags", + "input": { + "path_cap": 20, + "calls": [["place", 5], ["place", 5], ["replace", 10]], + "recomputed": True, + }, + "expected": { + "routes_changed": [False, False], + "weights_changed": [True, False], + "reservations_changed": [False, False], + }, + }, + { + "id": "FLAGS-fixed-offer", + "oracle": "change_flags", + "input": { + "path_cap": 20, + "calls": [["replace", 5], ["replace", 10], ["replace", 10]], + "recomputed": False, + }, + "expected": { + "routes_changed": [False, False], + "weights_changed": [False, False], + "reservations_changed": [False, False], + }, + }, + { + "id": "ERR-ownership-texts", + "oracle": "ownership_texts", + "input": { + "objects": [ + "program", + "support", + "black_holes", + "Eligibility", + "ShortestPathCache", + "dag", + ] + }, + "expected": [ + "program belongs to another graph", + "support belongs to another graph", + "black_holes belongs to another graph", + "foreign Eligibility: built for another graph", + "foreign ShortestPathCache: bound to another graph", + "dag belongs to another graph", + ], + }, + { + "id": "T2-prefer-headroom-off", + "oracle": "t2", + "input": { + "edges": [[0, 1, 10, 1], [0, 1, 10, 1]], + "heads": [0], + "destinations": [1], + "per_head": 2, + "design_demand": 2, + "prefer_headroom": False, + "lossy_offer": 12, + }, + "expected": { + "max_bandwidth_per_tunnel": 10, + "planned_bandwidth_per_tunnel": 1, + "counts": [2, 0], + "max_lossless_offer": 10, + "lossy_delivery": 10, + }, + }, + { + "id": "T2-prefer-headroom-on", + "oracle": "t2", + "input": { + "edges": [[0, 1, 10, 1], [0, 1, 10, 1]], + "heads": [0], + "destinations": [1], + "per_head": 2, + "design_demand": 2, + "prefer_headroom": True, + "lossy_offer": 12, + }, + "expected": { + "max_bandwidth_per_tunnel": 10, + "planned_bandwidth_per_tunnel": 1, + "counts": [1, 1], + "headroom_penalty": 858993458, + "max_lossless_offer": 20, + "lossy_delivery": 12, + }, + }, + { + "id": "T2-support", + "oracle": "t2", + "input": { + "edges": [[0, 1, 6, 1], [0, 1, 6, 1], [0, 1, 100, 2]], + "heads": [0], + "destinations": [1], + "per_head": 2, + "support": [0, 1], + }, + "expected": { + "max_bandwidth_per_tunnel": 6, + "counts": [1, 1, 0], + "max_lossless_offer": 12, + }, + }, + { + "id": "T2-support-masked", + "oracle": "t2", + "input": { + "edges": [[0, 1, 6, 1], [0, 1, 6, 1], [0, 1, 100, 2]], + "heads": [0], + "destinations": [1], + "per_head": 2, + "support": [0, 1], + "excluded": [1], + }, + "expected": { + "max_bandwidth_per_tunnel": 3, + "counts": [2, 0, 0], + "paths": [[0], [0]], + "entry_ids": [0, 1], + "max_lossless_offer": 6, + }, + }, + { + "id": "T2-support-mask-outside", + "oracle": "t2", + "input": { + "edges": [[0, 1, 6, 1], [0, 1, 6, 1], [0, 1, 100, 2]], + "heads": [0], + "destinations": [1], + "per_head": 2, + "support": [0, 1], + "excluded": [2], + }, + "expected": { + "max_bandwidth_per_tunnel": 6, + "counts": [1, 1, 0], + "paths": [[0], [1]], + "entry_ids": [0, 1], + "max_lossless_offer": 12, + }, + }, + { + "id": "CFG-defaults", + "oracle": "model_config", + "input": { + "cases": [ + {"model": "ShortestPaths", "kwargs": {}}, + {"model": "ShortestPaths", "kwargs": {"allocation": "EQUAL"}}, + {"model": "ShortestPaths", "kwargs": {"allocation": "WEIGHTED"}}, + {"model": "ShortestPaths", "kwargs": {"allocation": "OPTIMIZED"}}, + { + "model": "CentralizedTE", + "kwargs": {"source_allocation": "EQUAL", "tunnel_count": "16"}, + }, + ] + }, + "expected": [ + "allocation=EQUAL source_allocation=EQUAL weight_basis=None tie_break=FEWER_HOPS multipath=True parallel_edges=True", + "allocation=EQUAL source_allocation=EQUAL weight_basis=None tie_break=FEWER_HOPS multipath=True parallel_edges=True", + "allocation=WEIGHTED source_allocation=EQUAL weight_basis=CAPACITY tie_break=FEWER_HOPS multipath=True parallel_edges=True", + "allocation=OPTIMIZED source_allocation=OPTIMIZED weight_basis=None tie_break=FEWER_HOPS multipath=True parallel_edges=True", + "source_allocation=EQUAL support=None tunnel_count=16 prefer_headroom=False", + ], + }, + { + "id": "CFG-construction", + "oracle": "model_config", + "input": { + "cases": [ + {"model": "CentralizedTE", "kwargs": {}}, + {"model": "CentralizedTE", "kwargs": {"source_allocation": None}}, + {"model": "CentralizedTE", "kwargs": {"tunnel_count": "16"}}, + { + "model": "CentralizedTE", + "kwargs": {"source_allocation": "EQUAL", "selection": "default"}, + }, + { + "model": "DistributedTE", + "kwargs": {"tunnel_count": "4", "source_allocation": "EQUAL"}, + }, + { + "model": "DistributedTE", + "kwargs": {"tunnel_count": "4", "multipath": False}, + }, + {"model": "Pinned", "kwargs": {"program": "p", "allocation": "EQUAL"}}, + { + "model": "FlowPolicyConfig", + "kwargs": {"routing": "ShortestPaths()", "allocation": "EQUAL"}, + }, + {"model": "ShortestPaths", "kwargs": {"multipath": None}}, + {"model": "ShortestPaths", "kwargs": {"placement": "EQUAL"}}, + ] + }, + "expected": [ + "TypeError", + "TypeError", + "TypeError", + "TypeError", + "TypeError", + "TypeError", + "TypeError", + "TypeError", + "TypeError", + "TypeError", + ], + }, + { + "id": "CFG-matrix", + "oracle": "model_config", + "input": { + "cases": [ + { + "model": "ShortestPaths", + "kwargs": {"source_allocation": "OPTIMIZED"}, + }, + { + "model": "ShortestPaths", + "kwargs": {"allocation": "OPTIMIZED"}, + "admission": "LOSSY", + }, + {"model": "ShortestPaths", "kwargs": {"tie_break": "HIGHER_CAPACITY"}}, + { + "model": "ShortestPaths", + "kwargs": {"tie_break": "HIGHER_CAPACITY", "multipath": False}, + "sources": 2, + }, + { + "model": "ShortestPaths", + "kwargs": {"tie_break": "HIGHER_CAPACITY", "multipath": False}, + }, + { + "model": "ShortestPaths", + "kwargs": {"tie_break": "HIGHER_HEADROOM", "parallel_edges": False}, + "sources": 2, + }, + {"model": "ShortestPaths", "kwargs": {"weight_basis": "CAPACITY"}}, + { + "model": "ShortestPaths", + "kwargs": {"allocation": "WEIGHTED", "weight_basis": "EXPLICIT"}, + }, + { + "model": "CentralizedTE", + "kwargs": {"source_allocation": "OPTIMIZED", "tunnel_count": "2"}, + "sources": 2, + }, + { + "model": "CentralizedTE", + "kwargs": {"source_allocation": "OPTIMIZED", "tunnel_count": "2"}, + }, + { + "model": "CentralizedTE", + "kwargs": {"source_allocation": "EQUAL"}, + "admission": "LOSSY", + }, + { + "model": "CentralizedTE", + "kwargs": {"source_allocation": "EQUAL", "prefer_headroom": True}, + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "EQUAL", + "support": "dag", + "tunnel_count": "2", + }, + "admission": "LOSSY", + }, + {"model": "DistributedTE", "kwargs": {"tunnel_count": "4 up_to"}}, + ] + }, + "expected": [ + "ShortestPaths with EQUAL or WEIGHTED requires source_allocation=EQUAL", + "ShortestPaths OPTIMIZED requires admission=LOSSLESS", + "ShortestPaths tie_break requires multipath=False or parallel_edges=False", + "ShortestPaths with multiple input sources requires tie_break=FEWER_HOPS when multipath=False", + "allocation=EQUAL source_allocation=EQUAL weight_basis=None tie_break=HIGHER_CAPACITY multipath=False parallel_edges=True", + "allocation=EQUAL source_allocation=EQUAL weight_basis=None tie_break=HIGHER_HEADROOM multipath=True parallel_edges=False", + "weight_basis requires allocation=WEIGHTED", + "weight_basis=EXPLICIT requires edge_weights", + "CentralizedTE with tunnel_count and several sources requires source_allocation=EQUAL", + "source_allocation=OPTIMIZED support=None tunnel_count=2 prefer_headroom=False", + "CentralizedTE without tunnel_count requires admission=LOSSLESS", + "prefer_headroom requires tunnel_count", + "source_allocation=EQUAL support=dag tunnel_count=2 prefer_headroom=False", + "DistributedTE requires an exact tunnel count", + ], + }, + { + "id": "CFG-first-error", + "oracle": "model_config", + "input": { + "cases": [ + { + "model": "CentralizedTE", + "kwargs": {"source_allocation": "EQUAL", "prefer_headroom": True}, + "admission": "LOSSY", + }, + { + "model": "ShortestPaths", + "kwargs": { + "source_allocation": "OPTIMIZED", + "weight_basis": "CAPACITY", + }, + }, + { + "model": "ShortestPaths", + "kwargs": { + "allocation": "OPTIMIZED", + "tie_break": "HIGHER_CAPACITY", + }, + "admission": "LOSSY", + }, + { + "model": "ShortestPaths", + "kwargs": { + "tie_break": "HIGHER_CAPACITY", + "weight_basis": "CAPACITY", + }, + }, + { + "model": "ShortestPaths", + "kwargs": { + "tie_break": "HIGHER_CAPACITY", + "multipath": False, + "weight_basis": "CAPACITY", + }, + "sources": 2, + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "OPTIMIZED", + "tunnel_count": "0", + "prefer_headroom": True, + }, + "sources": 2, + }, + { + "model": "DistributedTE", + "kwargs": { + "tunnel_count": "0 up_to", + "cost_ceiling": ["fraction", 1, 2], + }, + }, + { + "model": "DistributedTE", + "kwargs": { + "tunnel_count": "4 up_to", + "cost_ceiling": ["fraction", 1, 2], + }, + }, + { + "model": "DistributedTE", + "kwargs": { + "tunnel_count": "4", + "cost_ceiling": ["fraction", 1, 2], + "min_unreserved_bandwidth": -1, + }, + }, + { + "model": "DistributedTE", + "kwargs": {"tunnel_count": "4", "min_unreserved_bandwidth": -1}, + }, + ] + }, + "expected": [ + "CentralizedTE without tunnel_count requires admission=LOSSLESS", + "ShortestPaths with EQUAL or WEIGHTED requires source_allocation=EQUAL", + "ShortestPaths OPTIMIZED requires admission=LOSSLESS", + "ShortestPaths tie_break requires multipath=False or parallel_edges=False", + "ShortestPaths with multiple input sources requires tie_break=FEWER_HOPS when multipath=False", + "CentralizedTE with tunnel_count and several sources requires source_allocation=EQUAL", + "tunnel count must be in [1, 10000]", + "DistributedTE requires an exact tunnel count", + "cost_ceiling CostStretch factor must be >= 1 (got 1/2)", + "min_unreserved_bandwidth must be an integer in [0, 2^62)", + ], + }, + { + "id": "EVAL-first-error", + "oracle": "evaluation_validation", + "input": { + "cases": [ + { + "model": "CentralizedTE", + "kwargs": {"source_allocation": "EQUAL", "prefer_headroom": True}, + "offer": -1, + }, + { + "model": "DistributedTE", + "kwargs": {"tunnel_count": "4"}, + "admission": "LOSSY", + "offer": -1, + "design_demand": math.inf, + }, + { + "model": "DistributedTE", + "kwargs": {"tunnel_count": "4"}, + "admission": "LOSSY", + "offer": 5, + "design_demand": math.inf, + }, + { + "model": "DistributedTE", + "kwargs": {"tunnel_count": "4"}, + "admission": "LOSSY", + }, + { + "model": "DistributedTE", + "kwargs": {"tunnel_count": "4"}, + "admission": "LOSSY", + "design_demand": 10, + }, + { + "model": "ShortestPaths", + "kwargs": {}, + "offer": math.inf, + "design_demand": 5, + }, + {"model": "ShortestPaths", "kwargs": {}, "design_demand": 5}, + { + "model": "CentralizedTE", + "kwargs": {"source_allocation": "EQUAL", "tunnel_count": "16"}, + "admission": "LOSSY", + }, + { + "model": "CentralizedTE", + "kwargs": {"source_allocation": "EQUAL", "tunnel_count": "16"}, + "admission": "LOSSY", + "design_demand": 10, + }, + {"model": "Pinned", "kwargs": {"program": "p"}, "admission": "LOSSY"}, + {"model": "ShortestPaths", "kwargs": {}, "admission": "LOSSY"}, + { + "model": "ShortestPaths", + "kwargs": {}, + "admission": "LOSSY", + "offer": 4, + }, + ] + }, + "expected": [ + "prefer_headroom requires tunnel_count", + "offer must be an integer in [0, 2^62)", + "DistributedTE requires a finite design demand", + "DistributedTE evaluation requires design_demand", + "DistributedTE LOSSY evaluation requires a finite offer", + "offer must be an integer in [0, 2^62)", + "ShortestPaths does not accept design_demand", + "CentralizedTE LOSSY evaluation requires a finite offer", + "offer=10 design_demand=10", + "Pinned LOSSY evaluation requires a finite offer", + "offer=first-hop experiment design_demand=None", + "offer=4 design_demand=None", + ], + }, + { + "id": "CFG-cache-order", + "oracle": "model_config", + "input": { + "cases": [ + { + "model": "DistributedTE", + "kwargs": {"tunnel_count": "0"}, + "cache": True, + }, + { + "model": "Pinned", + "kwargs": {"program": {"sources": [0], "destinations": [2]}}, + "cache": True, + "endpoints": [[0], [1]], + }, + { + "model": "CentralizedTE", + "kwargs": {"source_allocation": "EQUAL", "tunnel_count": "0"}, + "cache": True, + }, + { + "model": "CentralizedTE", + "kwargs": {"source_allocation": "EQUAL", "prefer_headroom": True}, + "cache": True, + }, + { + "model": "ShortestPaths", + "kwargs": {"allocation": "WEIGHTED"}, + "cache": True, + }, + {"model": "DistributedTE", "kwargs": {"tunnel_count": "0"}}, + { + "model": "Pinned", + "kwargs": {"program": {"sources": [0], "destinations": [2]}}, + "endpoints": [[0], [1]], + }, + { + "model": "Pinned", + "kwargs": {"program": {"sources": [0], "destinations": [1]}}, + "endpoints": [[0], [1]], + }, + ] + }, + "expected": [ + "DistributedTE does not use ShortestPathCache", + "Pinned does not use ShortestPathCache", + "CentralizedTE does not use ShortestPathCache", + "prefer_headroom requires tunnel_count", + "allocation=WEIGHTED source_allocation=EQUAL weight_basis=CAPACITY tie_break=FEWER_HOPS multipath=True parallel_edges=True", + "tunnel count must be in [1, 10000]", + "program endpoints do not match policy endpoints", + "valid", + ], + }, + { + "id": "EVAL-offer-infinite", + "oracle": "evaluation_validation", + "input": { + "cases": [ + { + "model": "CentralizedTE", + "kwargs": {"source_allocation": "EQUAL", "prefer_headroom": True}, + "offer": math.inf, + }, + { + "model": "CentralizedTE", + "kwargs": {"source_allocation": "EQUAL", "prefer_headroom": True}, + "offer": "4", + }, + {"model": "ShortestPaths", "kwargs": {}, "offer": math.inf}, + ] + }, + "expected": [ + "prefer_headroom requires tunnel_count", + "TypeError", + "offer must be an integer in [0, 2^62)", + ], + }, + { + "id": "CFG-ceiling-type", + "oracle": "model_config", + "input": { + "cases": [ + { + "model": "DistributedTE", + "kwargs": {"tunnel_count": "0", "cost_ceiling": ["other", 1.5]}, + }, + { + "model": "DistributedTE", + "kwargs": {"tunnel_count": "4", "cost_ceiling": ["other", 2]}, + }, + { + "model": "DistributedTE", + "kwargs": {"tunnel_count": "4", "cost_ceiling": ["fraction", 3, 2]}, + }, + ] + }, + "expected": [ + "TypeError: cost_ceiling must be AbsoluteCost, CostStretch or None", + "TypeError: cost_ceiling must be AbsoluteCost, CostStretch or None", + "valid", + ], + }, + { + "id": "KSP-ceiling-type", + "oracle": "search", + "input": { + "edges": [[0, 1, 10, 5]], + "source": 0, + "destinations": 1, + "k": 2, + "residual": [10, 10], + "stretch": ["other", 1.5], + }, + "expected": { + "error": "TypeError: cost_ceiling must be AbsoluteCost, CostStretch or None" + }, + }, + { + "id": "T1-stretch-below-one", + "oracle": "t1", + "input": { + "edges": [[0, 1, 10, 5]], + "heads": [0], + "destinations": [1], + "design_demand": 1, + "per_head": 1, + "offer": 1, + "stretch": ["fraction", 1, 2], + }, + "expected": {"error": "cost_ceiling CostStretch factor must be >= 1 (got 1/2)"}, + }, + { + "id": "KSP-stretch-below-one", + "oracle": "search", + "input": { + "edges": [[0, 1, 10, 5]], + "source": 0, + "destinations": 1, + "k": 2, + "stretch": ["fraction", 1, 2], + }, + "expected": {"error": "cost_ceiling CostStretch factor must be >= 1 (got 1/2)"}, + }, + { + "id": "KSP-ceiling-before-residual", + "oracle": "search", + "input": { + "edges": [[0, 1, 10, 5]], + "source": 0, + "destinations": 1, + "k": 2, + "residual": [10, 10], + "stretch": ["fraction", 1, 2], + }, + "expected": {"error": "cost_ceiling CostStretch factor must be >= 1 (got 1/2)"}, + }, + { + "id": "KSP-residual-length", + "oracle": "search", + "input": { + "edges": [[0, 1, 10, 5]], + "source": 0, + "destinations": 1, + "k": 2, + "residual": [10, 10], + "stretch": ["fraction", 3, 2], + }, + "expected": {"error": "residual has length 2, expected 1 (one entry per edge)"}, + }, + { + "id": "TIE-parallel", + "oracle": "tie_choice", + "input": { + "edges": [[0, 1, 4, 1], [0, 1, 10, 1], [0, 1, 100, 1], [0, 1, 1000, 2]], + "source": 0, + "destination": 1, + "available": [4, 8, 5, 1000], + }, + "expected": { + "FEWER_HOPS": [0], + "HIGHER_CAPACITY": [2], + "HIGHER_AVAILABLE_CAPACITY": [1], + "HIGHER_HEADROOM": [0], + }, + }, + { + "id": "TIE-routes", + "oracle": "tie_choice", + "input": { + "edges": [[0, 1, 10, 1], [0, 2, 3, 2], [1, 2, 10, 1]], + "source": 0, + "destination": 2, + }, + "expected": { + "FEWER_HOPS": [1], + "HIGHER_CAPACITY": [0, 2], + "HIGHER_AVAILABLE_CAPACITY": [0, 2], + "HIGHER_HEADROOM": [1], + }, + }, + { + "id": "TIE-bottleneck", + "oracle": "tie_choice", + "input": { + "edges": [[0, 1, 10, 1], [0, 2, 3, 2], [1, 2, 1, 1]], + "source": 0, + "destination": 2, + }, + "expected": { + "FEWER_HOPS": [1], + "HIGHER_CAPACITY": [1], + "HIGHER_AVAILABLE_CAPACITY": [1], + "HIGHER_HEADROOM": [1], + }, + }, + { + "id": "EVAL-fixed-offer", + "oracle": "evaluate_offer", + "input": {"capacities": [10, 10], "offer": 4}, + "expected": {"baseline": 4, "delivery_reduction": [0, 0]}, + }, + { + "id": "EVAL-first-hop", + "oracle": "evaluate_offer", + "input": {"capacities": [10, 10]}, + "expected": {"baseline": 20, "delivery_reduction": [10, 10]}, + }, + { + "id": "EVAL-first-hop-unequal", + "oracle": "evaluate_offer", + "input": {"capacities": [4, 10]}, + "expected": { + "baseline": 14, + "delivery_reduction": [4, 10], + "requested": math.inf, + "offered": 14, + "edge_drops": [0, 0], + }, + }, + { + "id": "EVAL-fixed-offer-unequal", + "oracle": "evaluate_offer", + "input": {"capacities": [4, 10], "offer": 12}, + "expected": { + "baseline": 10, + "delivery_reduction": [0, 6], + "requested": 12, + "offered": 12, + "edge_drops": [2, 0], + }, + }, + { + "id": "DAG-pooled", + "oracle": "dag_contexts", + "input": { + "edges": [[0, 2, 10, 1], [1, 2, 10, 1], [2, 3, 1, 1], [2, 3, 1, 1]], + "sources": [0, 1], + "destination": 3, + "offer": 2, + "pooled": True, + }, + "expected": {"lossless_bound": 2, "lossy_delivered": 2}, + }, + { + "id": "DAG-separate", + "oracle": "dag_contexts", + "input": { + "edges": [[0, 2, 10, 1], [1, 2, 10, 1], [2, 3, 1, 1], [2, 3, 1, 1]], + "sources": [0, 1], + "destination": 3, + "offer": 2, + "pooled": False, + }, + "expected": {"lossless_bound": 1, "lossy_delivered": 1}, + }, + { + "id": "STRETCH-values", + "oracle": "stretch_values", + "input": { + "factors": [ + ["float", 1.2], + ["float", 1.1], + ["float", 1.5], + ["float", 0.30000000000000004], + ["fraction", 6, 5], + ["fraction", 18446744073709551616, 4611686018427387904], + ["int", 2], + ["float", math.inf], + ["float", 1e19], + ["fraction", 1, 9223372036854775808], + ["bool", True], + ["index", 3], + ["str", "1.2"], + ], + "equal_pairs": [ + [["float", 1.5], ["fraction", 3, 2]], + [["float", 1.2], ["fraction", 6, 5]], + [["float", 1.2], ["fraction", 5404319552844595, 4503599627370496]], + ], + }, + "expected": { + "values": [ + "6/5", + "11/10", + "3/2", + "7500000000000001/25000000000000000", + "6/5", + "4/1", + "2/1", + "CostStretch factor must be finite (got inf)", + "CostStretch fraction numerator must be in [-2^63, 2^63)", + "CostStretch fraction denominator must be in [1, 2^63)", + "TypeError", + "3/1", + "TypeError", + ], + "equal": [True, True, False], + }, + }, + { + "id": "STRETCH-numpy", + "oracle": "stretch_values", + "input": { + "factors": [ + ["numpy", "float64", 1.2], + ["numpy", "float32", 1.2], + ["numpy", "float16", 1.2], + ["numpy", "float32", 0.30000001192092896], + ["numpy", "int64", 2], + ["numpy", "float64", math.nan], + ["numpy", "float32", math.inf], + ["numpy", "float64", 1e19], + ["numpy", "bool_", True], + ], + "equal_pairs": [ + [["numpy", "float32", 1.2], ["fraction", 6, 5]], + [["numpy", "float64", 1.2], ["float", 1.2]], + ], + }, + "expected": { + "values": [ + "6/5", + "6/5", + "6/5", + "3/10", + "2/1", + "CostStretch factor must be finite (got nan)", + "CostStretch factor must be finite (got inf)", + "CostStretch fraction numerator must be in [-2^63, 2^63)", + "TypeError", + ], + "equal": [True, True], + }, + }, + { + "id": "KSP-stretch-numpy", + "oracle": "search", + "input": { + "edges": [[0, 1, 0, 100000000], [0, 1, 10, 120000001]], + "source": 0, + "destinations": 1, + "k": 2, + "residual": [0, 10], + "stretch": ["numpy", "float32", 1.2], + }, + "expected": {"paths": []}, + }, + { + "id": "KSP-stretch-numpy-equal", + "oracle": "search", + "input": { + "edges": [[0, 1, 0, 100000000], [0, 1, 10, 120000000]], + "source": 0, + "destinations": 1, + "k": 2, + "residual": [0, 10], + "stretch": ["numpy", "float32", 1.2], + }, + "expected": {"paths": [[120000000, [1]]]}, + }, + { + "id": "KSP-stretch-boundary", + "oracle": "search", + "input": { + "edges": [[0, 1, 0, 5], [0, 1, 10, 6]], + "source": 0, + "destinations": 1, + "k": 2, + "residual": [0, 10], + "stretch": ["float", 1.2], + }, + "expected": {"paths": [[6, [1]]]}, + }, + { + "id": "KSP-stretch-below", + "oracle": "search", + "input": { + "edges": [[0, 1, 0, 5], [0, 1, 10, 6]], + "source": 0, + "destinations": 1, + "k": 2, + "residual": [0, 10], + "stretch": ["fraction", 11, 10], + }, + "expected": {"paths": []}, + }, + { + "id": "TERM-T1-all-down", + "oracle": "termination", + "input": { + "offer": 14, + "model": "t1", + "args": { + "edges": [ + [0, 1, 6, 1], + [0, 2, 6, 3], + [1, 2, 4, 1], + [1, 3, 6, 3], + [2, 3, 6, 1], + ], + "heads": [0], + "destinations": [3], + "design_demand": 14, + "per_head": 2, + }, + }, + "expected": { + "tunnels": 2, + "lossy": "COMPLETE", + "lossless": "EXHAUSTED", + "source_drops": [14], + "forward_error": None, + }, + }, + { + "id": "TERM-T2-all-dead", + "oracle": "termination", + "input": { + "offer": 10, + "model": "t2", + "args": { + "edges": [[0, 2, 0, 1], [1, 2, 0, 1]], + "heads": [0, 1], + "destinations": [2], + "per_head": 2, + "design_demand": 10, + }, + }, + "expected": { + "tunnels": 0, + "lossy": "COMPLETE", + "lossless": "EXHAUSTED", + "source_drops": [5, 5], + "forward_error": None, + }, + }, + { + "id": "TERM-zero-weight-route", + "oracle": "termination", + "input": {"offer": 4, "program": [[0], [[0, True, 0]]]}, + "expected": { + "tunnels": 1, + "lossy": "NO_ACTIVE_WEIGHT", + "lossless": "NO_ACTIVE_WEIGHT", + "source_drops": [4], + "forward_error": None, + }, + }, + { + "id": "T2-no-tunnels-forward", + "oracle": "termination", + "input": { + "offer": 10, + "model": "t2", + "args": { + "edges": [[0, 2, 1, 1], [1, 2, 100, 1]], + "heads": [0, 1], + "destinations": [2], + "per_head": 16, + }, + }, + "expected": { + "tunnels": 0, + "lossy": "COMPLETE", + "lossless": "EXHAUSTED", + "source_drops": [5, 5], + "forward_error": None, + }, + }, + { + "id": "ERR-unreserved-texts", + "oracle": "input_texts", + "input": { + "cases": [ + { + "min_unreserved_bandwidth": 4611686018427387904, + "capacities": [10, 10], + "reservation_baseline": [[1, 2, 3]], + }, + { + "min_unreserved_bandwidth": -1, + "capacities": [10, 10], + "reservation_baseline": [[5, 11]], + }, + { + "min_unreserved_bandwidth": 0, + "capacities": [10, 10], + "reservation_baseline": [[10, 0]], + }, + ] + }, + "expected": [ + [ + "min_unreserved_bandwidth must be an integer in [0, 2^62)", + "reservation_baseline has length 3, expected 2 (one entry per edge)", + ], + [ + "min_unreserved_bandwidth must be an integer in [0, 2^62)", + "reservation_baseline[1] = 11 is outside [0, edge_capacity_units[1] = 10]", + ], + [None, None], + ], + }, +] + + +# Values an example names that the library does not report, by example: left out of the comparison. +NOT_REPORTED = { + "T2-dead-head": { + "budget": "the supply budget of T2's count choice is internal to its up-to rule", + }, + "D-C2": { + "rounds": "the error names the period-2 cycle, not the round it was found in" + }, + "R4-refusal": { + "requeue": "the rejected rule (a refused unit offered again), which the library never applies", + }, +} +for _name in ( + "C-G1-UP_TO", + "T2-UP_TO-common", + "T2-UP_TO-dead-head", + "T2-tiny-head-UP_TO", +): + NOT_REPORTED[_name] = { + "bounds": "the per-count supply budgets of the up-to choice are internal", + "scores": "the per-count scores of the up-to choice are internal", + } + +# Inputs outside the library's domain (amounts and weights are below 2^62). Such an example is +# not run on the library; it is checked three ways: its expected value is the rule's +# (reference_ha), the library refuses its input, and the same rounding at the largest inputs of +# the domain (its analogues) gives the library the rule's value. +OUTSIDE_THE_DOMAIN = {"R3-H-large": "a split of about 2^126 units"} +TOP = (1 << 62) - 1 +# Each analogue: (input, expected); the C++ test (contract_examples_tests.cpp) uses the same values. +ANALOGUES = { + "R3-H-large": [ + # Equal powers of two summing to n + 1, as in the example: the odd unit to the first. + ({"n": TOP, "weights": [1 << 61, 1 << 61]}, [1 << 61, (1 << 61) - 1]), + # The largest weights, equal and unequal (products of about 2^124). + ({"n": TOP, "weights": [TOP, TOP]}, [1 << 61, (1 << 61) - 1]), + ({"n": TOP, "weights": [TOP, TOP - 1, 1]}, [1 << 61, (1 << 61) - 1, 0]), + ( + {"n": TOP - 1, "weights": [TOP, 1 << 61, 3]}, + [3074457345618258601, 1537228672809129300, 1], + ), + ( + {"n": TOP, "weights": [3, 5, 7]}, + [922337203685477580, 1537228672809129301, 2152120141932781022], + ), + ] +} + + +def reference_ha(n, weights): + """H(n, w) as docs/semantics.md defines it ("Terms"), in exact integers: the floor of each + share, then each remaining unit to the largest w / (assigned + 1), ties to the earlier member.""" + total = sum(weights) + if not total: + return [0] * len(weights) + ans = [n * w // total for w in weights] + for _ in range(n - sum(ans)): + j = max( + range(len(weights)), key=lambda i: (Fraction(weights[i], ans[i] + 1), -i) + ) + ans[j] += 1 + return ans + + +def split_offer_on_unit_links(n, weights): + """H(n, w) as the library splits a LOSSY offer: one head, a tunnel of weight w_i on its own + link of capacity 1 (the split is of the offer; the links only limit the delivery).""" + m = len(weights) + g = ngc.Graph(2, [0] * m, [1] * m, [1] * m, [1] * m, 1.0) + tunnels = [ + ngc.RouteDefinition(0, path_of(g, [e]), weight=w) for e, w in enumerate(weights) + ] + program = ngc.ForwardingProgram.from_routes(g, [0], [1], tunnels) + return [t.assigned for t in pinned(g, program, LY).place(n).by_tunnel] + + +def refuses_outside_the_domain(n, weights): + # A route weight and an offer beyond the domain are each refused. + g = ngc.Graph( + 2, + [0] * len(weights), + [1] * len(weights), + [1] * len(weights), + [1] * len(weights), + 1.0, + ) + for w in weights: + with pytest.raises(ValueError, match="out of range|must be an integer in"): + ngc.RouteDefinition(0, path_of(g, [0]), weight=w) + program = ngc.ForwardingProgram.from_routes( + g, [0], [1], [ngc.RouteDefinition(0, path_of(g, [0]))] + ) + with pytest.raises(ValueError, match="offer must be an integer in"): + pinned(g, program, LY).place(n) + + +def check_outside_the_domain(example): + assert mismatch(reference_ha(**example["input"]), example["expected"]) is None + refuses_outside_the_domain(**example["input"]) + for case, want in ANALOGUES[example["id"]]: + assert mismatch(reference_ha(**case), want) is None, case + assert mismatch(split_offer_on_unit_links(**case), want) is None, case + + +def _param(example): + return pytest.param(example, id=example["id"]) + + +def test_every_example_once(): + ids = [e["id"] for e in EXAMPLES] + assert len(ids) == len(set(ids)) == 156 + assert {e["oracle"] for e in EXAMPLES} <= set(ADAPTERS) + + +@pytest.mark.parametrize("example", [_param(e) for e in EXAMPLES]) +def test_contract_example(example): + if example["id"] in OUTSIDE_THE_DOMAIN: + check_outside_the_domain(example) + return + expected = example["expected"] + left_out = NOT_REPORTED.get(example["id"], {}) + if left_out: + expected = {k: v for k, v in expected.items() if k not in left_out} + got = ADAPTERS[example["oracle"]](**copy.deepcopy(example["input"])) + assert mismatch(got, expected) is None diff --git a/tests/py/test_cost_stretch.py b/tests/py/test_cost_stretch.py new file mode 100644 index 0000000..2364f2c --- /dev/null +++ b/tests/py/test_cost_stretch.py @@ -0,0 +1,157 @@ +"""CostStretch as one exact fraction: the accepted forms and their conversion in +the documented order (docs/semantics.md, "Cost ceilings and the exact stretch"), the components at their limits, and the value semantics (factor, equality, +hash, repr). The refusal below 1 where the ceiling is used is in test_ksp.py and +test_distributed_te.py.""" + +from __future__ import annotations + +from fractions import Fraction + +import numpy as np +import pytest +from helpers import assert_read_only, exact + +import netgraph_core as ngc + +NUMERATOR = "CostStretch fraction numerator must be in [-2^63, 2^63)" +DENOMINATOR = "CostStretch fraction denominator must be in [1, 2^63)" + + +class _Index: + # An integer known only through __index__. + def __init__(self, n): + self.n = n + + def __index__(self): + return self.n + + +class _OwnFloatFails(np.float32): + # A NumPy floating value whose own conversion to a float fails. + def __float__(self): + raise ArithmeticError("own float") + + +def reduced(factor): + f = ngc.CostStretch(factor).factor + return f"{f.numerator}/{f.denominator}" + + +def test_values(): + # STRETCH-values: a float is the decimal it prints (1.2 is 6/5, 0.1 + 0.2 its own 17 digits), + # a Fraction as it is (2^64 / 2^62 reduces to 4), an integer n/1, an __index__ object too. + for factor, want in ( + (1.2, "6/5"), + (1.1, "11/10"), + (1.5, "3/2"), + (0.1 + 0.2, "7500000000000001/25000000000000000"), + (Fraction(6, 5), "6/5"), + (Fraction(2**64, 2**62), "4/1"), + (2, "2/1"), + (_Index(3), "3/1"), + ): + assert reduced(factor) == want, factor + with pytest.raises( + ValueError, match=exact("CostStretch factor must be finite (got inf)") + ): + ngc.CostStretch(float("inf")) + with pytest.raises(ValueError, match=exact(NUMERATOR)): + ngc.CostStretch(1e19) + with pytest.raises(ValueError, match=exact(DENOMINATOR)): + ngc.CostStretch(Fraction(1, 2**63)) + for bad in (True, False, "1.2", None, [1]): + with pytest.raises(TypeError, match=r"^CostStretch factor must be"): + ngc.CostStretch(bad) + # Equal factors are equal values: 1.5 and 3/2, 1.2 and 6/5; the binary value of 1.2 is not. + assert ngc.CostStretch(1.5) == ngc.CostStretch(Fraction(3, 2)) + assert ngc.CostStretch(1.2) == ngc.CostStretch(Fraction(6, 5)) + assert ngc.CostStretch(1.2) != ngc.CostStretch( + Fraction(5404319552844595, 4503599627370496) + ) + + +def test_numpy(): + # STRETCH-numpy: every NumPy floating type prints its own shortest decimal (float32's 1.2 is + # 6/5, not 1.2000000476837158), a NumPy integer is n/1, numpy.bool_ is no number. + for factor, want in ( + (np.float64(1.2), "6/5"), + (np.float32(1.2), "6/5"), + (np.float16(1.2), "6/5"), + (np.float32(0.30000001192092896), "3/10"), + (np.int64(2), "2/1"), + ): + assert reduced(factor) == want, factor + for factor, shown in ((np.float64("nan"), "nan"), (np.float32("inf"), "inf")): + with pytest.raises( + ValueError, match=exact(f"CostStretch factor must be finite (got {shown})") + ): + ngc.CostStretch(factor) + with pytest.raises(ValueError, match=exact(NUMERATOR)): + ngc.CostStretch(np.float64(1e19)) + with pytest.raises(TypeError, match=r"^CostStretch factor must be"): + ngc.CostStretch(np.bool_(True)) + assert ngc.CostStretch(np.float32(1.2)) == ngc.CostStretch(Fraction(6, 5)) + assert ngc.CostStretch(np.float64(1.2)) == ngc.CostStretch(1.2) + # The object's own conversion failing reaches the caller unchanged. + with pytest.raises(ArithmeticError, match=exact("own float")): + ngc.CostStretch(_OwnFloatFails(1.2)) + + +def test_component_limits(): + # The reduced components are checked as exact integers, whatever their size before reduction. + with pytest.raises(ValueError, match=exact(NUMERATOR)): + ngc.CostStretch(Fraction(2**63, 1)) + with pytest.raises(ValueError, match=exact(NUMERATOR)): + ngc.CostStretch(2**63) + with pytest.raises(ValueError, match=exact(DENOMINATOR)): + ngc.CostStretch(Fraction(1, 2**63)) + assert ( + reduced(Fraction(-(2**63), 1)) == f"{-(2**63)}/1" + ) # valid; refused where used + assert reduced(Fraction(2**63 - 1, 2**63 - 1)) == "1/1" + assert reduced(Fraction(2**64, 2**62)) == "4/1" + assert reduced(Fraction(2**63 - 1, 2**63 - 2)) == f"{2**63 - 1}/{2**63 - 2}" + assert ( + reduced(0.5) == "1/2" + ) # below 1: a valid value, refused where the ceiling is used + + +def test_value_semantics(): + # factor is a fractions.Fraction; equality, hash and repr follow the fraction. + f = ngc.CostStretch(1.5).factor + assert type(f) is Fraction and f == Fraction(3, 2) + assert ngc.CostStretch(1.5) == ngc.CostStretch(Fraction(3, 2)) + assert hash(ngc.CostStretch(1.5)) == hash(ngc.CostStretch(Fraction(3, 2))) + assert hash(ngc.CostStretch(1.5)) == hash(Fraction(3, 2)) + assert ngc.CostStretch(2) != ngc.AbsoluteCost(2) + assert repr(ngc.CostStretch(1.2)) == "CostStretch(Fraction(6, 5))" + assert repr(ngc.CostStretch(-(2**63))) == f"CostStretch(Fraction({-(2**63)}, 1))" + assert_read_only(ngc.CostStretch(Fraction(6, 5)), "factor") + + +def test_ceiling_products_beyond_64_bits(): + # Two parallel links 0 -> 1 of capacity 1, costs B = 2^32 (the shortest) and C. The ceiling + # compares C * den with num * B, products of about 2^64 to 2^65: with C = 2^32 + 1 and + # f = 2^32 / (2^32 - 1), C * den = 2^64 - 1 <= 2^64 = num * B (admitted; the low 64 bits alone + # say 2^64 - 1 > 0); with C = 2^33 and f = (2^32 + 2) / (2^32 + 1), C * den = 2^65 + 2^33 > + # 2^64 + 2^33 (refused; the low 64 bits alone are equal). T1's second tunnel and ksp's second + # path follow the exact comparison. + b = 1 << 32 + for c, factor, admitted in ( + (b + 1, Fraction(b, b - 1), True), + (2 * b, Fraction(b + 2, b + 1), False), + ): + g = ngc.Graph(2, [0, 0], [1, 1], [1, 1], [b, c], 1.0) + ceiling = ngc.CostStretch(factor) + paths = ngc.ksp(g, 0, 1, ngc.KspOptions(2, cost_ceiling=ceiling)) + assert [cost for cost, _ in paths] == ([b, c] if admitted else [b]), c + t1 = ngc.FlowPolicyConfig( + routing=ngc.DistributedTE(ngc.TunnelCount(2), cost_ceiling=ceiling) + ) + r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, t1).replace(2, design_demand=2) + status = ngc.TunnelStatus + assert [t.status for t in r.program.tunnels] == [ + status.UP, + status.UP if admitted else status.COST_CEILING_EXCEEDED, + ], c + assert r.call_delivered == (2 if admitted else 1), c diff --git a/tests/py/test_tunnels_t1.py b/tests/py/test_distributed_te.py similarity index 62% rename from tests/py/test_tunnels_t1.py rename to tests/py/test_distributed_te.py index 506f2ee..7d1ec68 100644 --- a/tests/py/test_tunnels_t1.py +++ b/tests/py/test_distributed_te.py @@ -1,5 +1,4 @@ -"""T1 (CapacityAware(Tunnels(N))) through the binding: the contract's T1 examples (6.2 to 6.6, -3.4), the configuration and call checks, setup, forwarding, operations, programs and replays, +"""T1 (DistributedTE(TunnelCount(N))) through the binding: the worked T1 examples, the configuration and call checks, setup, forwarding, operations, programs and replays, records, flags and terminations, the evaluators, the numeric ranges, zero offers and everything masked, a property test against the independent tunnel_oracle.py, and the Python-allocation sweeps of T1's results. The ledger's two projections are test_ledger_projections.py's.""" @@ -7,6 +6,7 @@ from __future__ import annotations import random +from fractions import Fraction import pytest import tunnel_oracle as orc @@ -30,21 +30,15 @@ S = ngc.TunnelStatus UP, NB, CC, FAILED, BLACKHOLED = ( S.UP, - S.NO_BANDWIDTH, - S.COST_CEILING, + S.INSUFFICIENT_BANDWIDTH, + S.COST_CEILING_EXCEEDED, S.FAILED, S.BLACKHOLED, ) LOSSY = ngc.Admission.LOSSY LOSSLESS = ngc.Admission.LOSSLESS -PHP = ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY -DETP = ngc.EdgeTieBreak.DETERMINISTIC -CAP, RES, HEAD = ( - ngc.EdgePriority.CAPACITY, - ngc.EdgePriority.RESIDUAL, - ngc.EdgePriority.HEADROOM, -) -HOLDS = ngc.OutputOptions(reservation_edge_flows=True) +TIE = ngc.RouteTieBreak +HOLDS = ngc.OutputOptions(edge_reservations=True) def ledger_now(fg): @@ -56,7 +50,7 @@ def graph(rows, n=None): """A graph whose rows are in EdgeId order (asserted): (u, v, capacity, cost).""" n = n if n is not None else 1 + max(max(u, v) for u, v, _, _ in rows) g = build(n, rows) - assert [int(i) for i in g.input_index()] == list(range(len(rows))) + assert [int(i) for i in g.input_positions()] == list(range(len(rows))) return g @@ -83,13 +77,9 @@ def x8(): return graph([(0, 2, 0, 1), (1, 2, 8, 3)]) -def policy(g, s, d, n, admission=None, ledger=None, elig=None, **routing): +def policy(g, s, d, n, admission=None, ledger=None, eligibility=None, **routing): ledger = ledger if ledger is not None else ngc.FlowLedger(g) - return ngc.FlowPolicy(ledger, s, d, t1_config(n, admission, **routing), elig) - - -def tsel(tie=DETP, prio=CAP, me=True, mp=None): - return ngc.PathSelection(tie, prio, mp, me) + return ngc.FlowPolicy(ledger, s, d, t1_config(n, admission, **routing), eligibility) def statuses(r): @@ -101,19 +91,26 @@ def routes(r): def requests(r): - return [t.requested for t in r.program.tunnels] + return [t.requested_bandwidth for t in r.program.tunnels] def rows(r): return [ - (t.index, t.head, t.status, t.assigned, t.delivered, t.dropped) + (t.entry_id, t.head, t.status, t.assigned, t.delivered, t.total_edge_drops) for t in r.by_tunnel ] def source_rows(r): return [ - (s.source, s.offered, s.admitted, s.delivered, s.source_loss, s.dropped) + ( + s.source, + s.offered, + s.admitted, + s.delivered, + s.source_drops, + s.total_edge_drops, + ) for s in r.by_source ] @@ -124,7 +121,7 @@ def err(fn): return str(e.value) -# ---------------------------------------------------------------- the contract's examples (X) +# ---------------------------------------------------------------- the worked examples (X) G1 = [(0, 1, 8192, 1), (0, 2, 40960, 1), (1, 3, 8192, 1), (2, 3, 40960, 1)] BRANCH_ROUTES = [[0, 2]] * 2 + [[1, 3]] * 13 + [[]] @@ -162,17 +159,23 @@ def err(fn): "a head behind a zero-capacity link": ( [(0, 2, 0, 1), (1, 2, 8, 3)], [0, 1], 2, 4, 1, {}, [2, 2], [[], [1]], [NB, UP], 2, [0, 2], 0, 4, [0, 2], 2, 2), - "a head behind a zero-capacity link, Absolute(3)": ( + "a head behind a zero-capacity link, AbsoluteCost(3)": ( [(0, 2, 0, 1), (1, 2, 8, 3)], [0, 1], 2, 4, 1, - {"max_path_cost": ngc.Absolute(3)}, [2, 2], [[], [1]], [NB, UP], 2, + {"cost_ceiling": ngc.AbsoluteCost(3)}, [2, 2], [[], [1]], [NB, UP], 2, [0, 2], 0, None, None, None, None), - "a head behind a zero-capacity link, Stretch(2)": ( + "a head behind a zero-capacity link, CostStretch(2)": ( [(0, 2, 0, 1), (1, 2, 8, 3)], [0, 1], 2, 4, 1, - {"max_path_cost": ngc.Stretch(2.0)}, [2, 2], [[], []], [NB, CC], 0, [0, 0], + {"cost_ceiling": ngc.CostStretch(2)}, [2, 2], [[], []], [NB, CC], 0, [0, 0], 0, None, None, None, None), - "Stretch(1.2) just below the next path": ( + # A-X8-Stretch-exact: 1.2 is exactly 6/5, so c0 = 5 admits the cost-6 path at equality; + # A-X8-Stretch-cost7: a cost-7 path exceeds the ceiling. + "CostStretch(1.2) admits the next path at equality": ( [(0, 1, 0, 5), (0, 1, 1, 6)], [0], 1, 1, 1, - {"max_path_cost": ngc.Stretch(1.2)}, [1], [[]], [CC], 0, [0, 0], 0, + {"cost_ceiling": ngc.CostStretch(1.2)}, [1], [[1]], [UP], 1, [0, 1], 1, + 1, [1], 1, 0), + "CostStretch(6/5) below a path of cost 7": ( + [(0, 1, 0, 5), (0, 1, 1, 7)], [0], 1, 1, 1, + {"cost_ceiling": ngc.CostStretch(Fraction(6, 5))}, [1], [[]], [CC], 0, [0, 0], 0, 1, [0], 0, 1), "the diamond, design 8": ( DIAM5, [0], 3, 8, 2, {}, [4, 4], [[0, 2, 4], []], [UP, NB], 4, [4, 0, 4, 0, 4], 4, @@ -218,38 +221,47 @@ def test_contract_examples(eid): p = policy(g, heads, dst, N, ledger=fg, **kw) r = p.replace(INF, design_demand=D, outputs=HOLDS) assert (requests(r), routes(r), statuses(r)) == (req, rts, st) - assert r.plan.reserved_total == reserved - assert r.reservation_edge_flows.tolist() == per_edge == fg.reserved().tolist() - assert (r.placed, r.termination) == (bound, T.EXHAUSTED) + assert r.plan.total_reserved_bandwidth == reserved + assert r.edge_reservations.tolist() == per_edge == fg.reserved().tolist() + assert (r.call_delivered, r.termination) == (bound, T.EXHAUSTED) if offer is None: return ly = policy(g, heads, dst, N, LOSSY, **kw) s = ly.replace(offer, design_demand=D) assert [t.assigned for t in s.by_tunnel] == shares - assert (s.placed, s.call_source_loss, s.termination) == (delivery, loss, T.COMPLETE) + assert (s.call_delivered, s.call_source_drops, s.termination) == ( + delivery, + loss, + T.COMPLETE, + ) assert (routes(s), statuses(s)) == (rts, st) # the offer never changes the setup -def test_call_of_section_6_6(): +def test_twoh_call(): g = ngc.Graph( - 3, src=[0, 1], dst=[2, 2], capacity_units=[2, 10], cost=[1, 1], resolution=1.0 + 3, + edge_sources=[0, 1], + edge_destinations=[2, 2], + edge_capacity_units=[2, 10], + edge_costs=[1, 1], + resolution=1.0, ) cfg = ngc.FlowPolicyConfig( - routing=ngc.CapacityAware(ngc.Tunnels(2)), admission=LOSSY + routing=ngc.DistributedTE(ngc.TunnelCount(2)), admission=LOSSY ) fg = ngc.FlowLedger(g) p = ngc.FlowPolicy(fg, [0, 1], 2, cfg) r = p.replace(12, design_demand=12) assert [t.status for t in r.program.tunnels] == [NB, UP, NB, UP] - assert (r.placed, r.call_source_loss) == (6, 6) - assert r.plan.reserved_total == 6 - assert (r.plan.count, r.plan.design_demand, r.plan.head_design) == ( + assert (r.call_delivered, r.call_source_drops) == (6, 6) + assert r.plan.total_reserved_bandwidth == 6 + assert (r.plan.tunnels_per_head, r.plan.design_demand, r.plan.design_by_head) == ( 2, 12, ((0, 6), (1, 6)), ) f = p.forward(8) - assert (f.placed, f.call_source_loss, f.delivery_delta) == (4, 4, -2) + assert (f.call_delivered, f.call_source_drops, f.delivery_delta) == (4, 4, -2) assert [t.assigned for t in f.by_tunnel] == [0, 2, 0, 2] assert fg.reserved().tolist() == [0, 6] @@ -261,64 +273,87 @@ def test_matrix(): # T1's row of the matrix, in order. g = one10() fg = ngc.FlowLedger(g) - ca = ngc.CapacityAware(ngc.Tunnels(2)) - for cfg, text in ( - ( - ngc.FlowPolicyConfig( - routing=ca, placement=ngc.FlowPlacement.EQUAL_BALANCED - ), - "T1 does not accept placement", - ), - ( - ngc.FlowPolicyConfig(routing=ca, origin=ngc.Origin.OPTIMIZED), - "T1 requires origin=EQUAL", - ), + ca = ngc.DistributedTE(ngc.TunnelCount(2)) + # The fields of the other models are no keywords of DistributedTE or FlowPolicyConfig. + for kw in ( + {"allocation": ngc.RouteAllocation.EQUAL}, + {"source_allocation": ngc.SourceAllocation.EQUAL}, + {"weight_basis": ngc.WeightBasis.CAPACITY}, + {"edge_weights": [1]}, + {"multipath": False}, + ): + with pytest.raises(TypeError): + ngc.DistributedTE(ngc.TunnelCount(2), **kw) + for kw in ( + {"placement": ngc.RouteAllocation.EQUAL}, + {"origin": ngc.SourceAllocation.EQUAL}, + ): + with pytest.raises(TypeError): + ngc.FlowPolicyConfig(routing=ca, **kw) + upto = ngc.FlowPolicyConfig( + routing=ngc.DistributedTE(ngc.TunnelCount(2, up_to=True)) + ) + text = "DistributedTE requires an exact tunnel count" + with pytest.raises(ValueError, match=exact(text)): + ngc.FlowPolicy(fg, 0, 1, upto) + with pytest.raises(ValueError, match=exact(text)): + ngc.evaluate_demand(g, 0, 1, ngc.EvaluationOptions(upto, design_demand=1)) + with pytest.raises( + ValueError, match=exact("DistributedTE does not use ShortestPathCache") + ): + ngc.FlowPolicy( + fg, 0, 1, ngc.FlowPolicyConfig(routing=ca), cache=ngc.ShortestPathCache(g) + ) + # Both admissions with every tie_break and parallel_edges (T1 always orders single paths: + # no tie rule is ineffective); T1 has no multipath field. + for tie in TIE.__members__.values(): + for parallel_edges in (True, False): + for adm in (LOSSLESS, LOSSY): + routing = ngc.DistributedTE( + ngc.TunnelCount(2), tie_break=tie, parallel_edges=parallel_edges + ) + ngc.FlowPolicy( + fg, 0, 1, ngc.FlowPolicyConfig(routing=routing, admission=adm) + ) + got = ngc.FlowPolicy(fg, 0, 1, ngc.FlowPolicyConfig(routing=ca)).config + assert repr(got.routing) == repr(ca) + assert (got.routing.tie_break, got.routing.parallel_edges) == (TIE.FEWER_HOPS, True) + + +def test_validation_order(): + # After the matrix: the count's range, then "up to", the ceiling, the search minimum. + fg = ngc.FlowLedger(one10()) + for routing, text in ( ( - ngc.FlowPolicyConfig(routing=ca, selection=tsel(mp=True)), - "T1 requires multipath=False", + ngc.DistributedTE(ngc.TunnelCount(0, up_to=True)), + "tunnel count must be in [1, 10000]", ), ( - ngc.FlowPolicyConfig(routing=ca, weights=ngc.WeightBasis.CAPACITY), - "T1 does not accept weights", + ngc.DistributedTE( + ngc.TunnelCount(2, up_to=True), cost_ceiling=ngc.AbsoluteCost(-1) + ), + "DistributedTE requires an exact tunnel count", ), ( - ngc.FlowPolicyConfig(routing=ca, edge_weights=[1]), - "T1 does not accept edge_weights", + ngc.DistributedTE( + ngc.TunnelCount(2), + cost_ceiling=ngc.AbsoluteCost(-1), + min_unreserved_bandwidth=L62, + ), + "cost_ceiling AbsoluteCost cost must be >= 0 (got -1)", ), ( - ngc.FlowPolicyConfig(routing=ngc.CapacityAware(ngc.Tunnels(2, up_to=True))), - "T1 requires an exact tunnel count", + ngc.DistributedTE(ngc.TunnelCount(2), min_unreserved_bandwidth=L62), + "min_unreserved_bandwidth must be an integer in [0, 2^62)", ), ): with pytest.raises(ValueError, match=exact(text)): - ngc.FlowPolicy(fg, 0, 1, cfg) - with pytest.raises(ValueError, match=exact(text)): - ngc.capacity(g, 0, 1, ngc.QueryOptions(cfg, design_demand=1)) - with pytest.raises(ValueError, match=exact("T1 does not use DagCache")): - ngc.FlowPolicy( - fg, 0, 1, ngc.FlowPolicyConfig(routing=ca), cache=ngc.DagCache(g) - ) - # Both admissions; multipath None and False accepted, the snapshot keeps None. - for mp in (None, False): - for adm in (LOSSLESS, LOSSY): - ngc.FlowPolicy( - fg, - 0, - 1, - ngc.FlowPolicyConfig(routing=ca, admission=adm, selection=tsel(mp=mp)), - ) - got = ngc.FlowPolicy(fg, 0, 1, ngc.FlowPolicyConfig(routing=ca)).config - assert (got.selection, got.selection.multipath, got.origin, got.placement) == ( - ngc.PathSelection(), - None, - ngc.Origin.EQUAL, - None, - ) + ngc.FlowPolicy(fg, 0, 1, ngc.FlowPolicyConfig(routing=routing)) def test_count_range(): - # [1, 10000] at the policy; a bool or a float at Tunnels itself (the library's integer - # convention: ValueError). + # [1, 10000] at the policy; a bool or a float at TunnelCount itself (a configuration value's + # wrong type: TypeError). fg = ngc.FlowLedger(one10()) for n in (0, 10001, -1): with pytest.raises( @@ -328,9 +363,10 @@ def test_count_range(): policy(None, 0, 1, 10000, ledger=fg) for bad, kind in ((True, "bool"), (1.0, "float")): with pytest.raises( - ValueError, match=exact(f"tunnel count must be an integer (got {kind})") + TypeError, + match=exact(f"TunnelCount per_head must be an integer (got {kind})"), ): - ngc.Tunnels(bad) + ngc.TunnelCount(bad) def test_parameters(): @@ -344,16 +380,15 @@ def test_parameters(): policy(None, 0, 1, 1, ledger=fg, min_unreserved_bandwidth=bad) policy(None, 0, 1, 1, ledger=fg, min_unreserved_bandwidth=L62 - 1) with pytest.raises( - ValueError, match=exact("max_path_cost Absolute cost must be >= 0 (got -1)") + ValueError, match=exact("cost_ceiling AbsoluteCost cost must be >= 0 (got -1)") ): - policy(None, 0, 1, 1, ledger=fg, max_path_cost=ngc.Absolute(-1)) - with pytest.raises( - ValueError, - match=exact( - "max_path_cost Stretch factor must be finite and in [1, inf) (got 0.500000)" - ), - ): - policy(None, 0, 1, 1, ledger=fg, max_path_cost=ngc.Stretch(0.5)) + policy(None, 0, 1, 1, ledger=fg, cost_ceiling=ngc.AbsoluteCost(-1)) + for factor, shown in ((0.5, "1/2"), (Fraction(-(2**63)), "-9223372036854775808/1")): + with pytest.raises( + ValueError, + match=exact(f"cost_ceiling CostStretch factor must be >= 1 (got {shown})"), + ): + policy(None, 0, 1, 1, ledger=fg, cost_ceiling=ngc.CostStretch(factor)) def test_tunnel_limit(): @@ -372,7 +407,7 @@ def fan(h): list(range(107375)), 107375, 10000, - elig=big.eligibility(excluded_nodes=[0]), + eligibility=big.eligibility(excluded_nodes=[0]), ) policy(fan(107374), list(range(107374)), 107374, 10000) @@ -383,7 +418,8 @@ def test_operations_and_design_validation(): p = policy(one10(), 0, 1, 1) for v in (5, 0): with pytest.raises( - ValueError, match=exact("T1 does not support incremental placement") + ValueError, + match=exact("DistributedTE does not support incremental placement"), ): p.place(v) with pytest.raises( @@ -406,7 +442,7 @@ def test_operations_and_design_validation(): lambda: p.evaluate(INF), ): with pytest.raises( - ValueError, match=exact("T1 requires a finite design demand") + ValueError, match=exact("DistributedTE requires a finite design demand") ): call() ly = policy(one10(), 0, 1, 1, LOSSY) @@ -415,10 +451,12 @@ def test_operations_and_design_validation(): ): ly.replace(INF, design_demand=5) g = one10() - pin = ngc.ForwardingProgram.from_routes(g, 0, 1, [ngc.Route(0, ngc.Path(g, [[0]]))]) + pin = ngc.ForwardingProgram.from_routes( + g, 0, 1, [ngc.RouteDefinition(0, ngc.Path(g, [[0]]))] + ) for cfg, model in ( - (COSTONLY, "CostOnly"), - (GLOBAL, "Global"), + (COSTONLY, "ShortestPaths"), + (GLOBAL, "CentralizedTE"), (ngc.FlowPolicyConfig(routing=ngc.Pinned(pin)), "Pinned"), ): q = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg) @@ -433,44 +471,63 @@ def test_operations_and_design_validation(): # ---------------------------------------------------------------- setup (T) -def test_priority_ties(): +def test_tie_breaks(): # PARX, N = 2, D = 8. g = graph([(0, 1, 4, 1), (0, 1, 10, 1)]) for s, want, held in ( - (tsel(DETP, CAP), [[0], [1]], [4, 4]), - (tsel(PHP, CAP), [[1], [1]], [0, 8]), - (tsel(PHP, RES), [[1], [1]], [0, 8]), - (tsel(PHP, HEAD), [[0], [1]], [4, 4]), + (TIE.FEWER_HOPS, [[0], [1]], [4, 4]), + (TIE.HIGHER_CAPACITY, [[1], [1]], [0, 8]), + (TIE.HIGHER_AVAILABLE_CAPACITY, [[1], [1]], [0, 8]), + (TIE.HIGHER_HEADROOM, [[0], [1]], [4, 4]), ): fg = ngc.FlowLedger(g) - r = ngc.FlowPolicy(fg, 0, 1, t1_config(2, selection=s)).replace( + r = ngc.FlowPolicy(fg, 0, 1, t1_config(2, tie_break=s)).replace( 8, design_demand=8 ) assert (routes(r), fg.reserved().tolist()) == (want, held) -def test_priority_reads_unreserved(): +def test_tie_break_reads_unreserved(): # PVIEW with unreserved [5, 8], N = 1, D = 4. g = graph([(0, 1, 10, 1), (0, 1, 8, 1)]) for s, want in ( - (tsel(DETP, CAP), [0]), - (tsel(PHP, CAP), [0]), - (tsel(PHP, RES), [1]), - (tsel(PHP, HEAD), [1]), + (TIE.FEWER_HOPS, [0]), + (TIE.HIGHER_CAPACITY, [0]), + (TIE.HIGHER_AVAILABLE_CAPACITY, [1]), + (TIE.HIGHER_HEADROOM, [1]), ): - fg = ngc.FlowLedger(g, unreserved=[5, 8]) - r = ngc.FlowPolicy(fg, 0, 1, t1_config(1, selection=s)).replace( + fg = ngc.FlowLedger(g, reservation_baseline=[5, 8]) + r = ngc.FlowPolicy(fg, 0, 1, t1_config(1, tie_break=s)).replace( 4, design_demand=4 ) assert routes(r) == [want] +def test_tie_scores_read_unreserved(): + # PAR(10, 10) with the reservation baseline [3, 8], N = 1, D = 1: equal capacities, so + # HIGHER_CAPACITY ties and falls to hops, then the lower EdgeId (e0); the availability is the + # unreserved bandwidth: HIGHER_AVAILABLE_CAPACITY 3 < 8 and HIGHER_HEADROOM 3/10 < 8/10 take + # e1. The service view (the full capacities) would tie both. + g = graph([(0, 1, 10, 1), (0, 1, 10, 1)]) + for tie, want in ( + (TIE.FEWER_HOPS, [0]), + (TIE.HIGHER_CAPACITY, [0]), + (TIE.HIGHER_AVAILABLE_CAPACITY, [1]), + (TIE.HIGHER_HEADROOM, [1]), + ): + fg = ngc.FlowLedger(g, reservation_baseline=[3, 8]) + r = ngc.FlowPolicy(fg, 0, 1, t1_config(1, tie_break=tie)).replace( + 1, design_demand=1 + ) + assert routes(r) == [want], tie + + def test_filter_before_collapse_and_min_unreserved(): # The filter before the collapse. g = graph([(0, 1, 2, 1), (0, 1, 10, 1)]) - for me in (False, True): + for parallel_edges in (False, True): r = ngc.FlowPolicy( - ngc.FlowLedger(g), 0, 1, t1_config(1, selection=tsel(me=me)) + ngc.FlowLedger(g), 0, 1, t1_config(1, parallel_edges=parallel_edges) ).replace(6, design_demand=6) assert (routes(r), statuses(r)) == ([[1]], [UP]) # PARC, N = 2, D = 2, minimum 5 and 0. @@ -480,7 +537,7 @@ def test_filter_before_collapse_and_min_unreserved(): r = policy(parc, 0, 1, 2, ledger=fg, min_unreserved_bandwidth=minimum).replace( INF, design_demand=2 ) - assert (routes(r), fg.reserved().tolist(), r.placed) == ( + assert (routes(r), fg.reserved().tolist(), r.call_delivered) == ( [path, path], held, bound, @@ -491,7 +548,7 @@ def test_filter_before_collapse_and_min_unreserved(): r = policy(zl, 0, 1, 2, LOSSY, ledger=fg, min_unreserved_bandwidth=1).replace( 2, design_demand=1 ) - assert (requests(r), routes(r), fg.reserved().tolist(), r.placed) == ( + assert (requests(r), routes(r), fg.reserved().tolist(), r.call_delivered) == ( [1, 0], [[1], [1]], [0, 1], @@ -507,7 +564,7 @@ def test_other_owners_holds(): assert statuses(a.replace(6, design_demand=6)) == [UP] assert (fg.reserved().tolist(), fg.unreserved().tolist()) == ([6], [4]) down = b.replace(6, design_demand=6) - assert (statuses(down), down.call_source_loss) == ([NB], 6) + assert (statuses(down), down.call_source_drops) == ([NB], 6) a.remove() assert statuses(b.replace(6, design_demand=6)) == [UP] assert fg.reserved().tolist() == [6] @@ -521,15 +578,16 @@ def test_holds_do_not_queue(): fg, 0, 1, - ngc.FlowPolicyConfig( - routing=ngc.CostOnly(), - placement=ngc.FlowPlacement.EQUAL_BALANCED, - admission=LOSSY, - ), + ngc.FlowPolicyConfig(routing=ngc.ShortestPaths(), admission=LOSSY), ) - assert c.replace(10).placed == 10 + assert c.replace(10).call_delivered == 10 r = policy(g, 0, 1, 1, LOSSY, ledger=fg).replace(4, design_demand=4) - assert (statuses(r), fg.reserved().tolist(), r.call_drops, r.placed) == ( + assert ( + statuses(r), + fg.reserved().tolist(), + r.call_edge_drops, + r.call_delivered, + ) == ( [UP], [4], [(0, 4)], @@ -551,10 +609,10 @@ def test_replace_evaluate_and_zero(): assert ( statuses(e), requests(e), - e.program.tunnels[0].reserved, - e.plan.reserved_total, + e.program.tunnels[0].reserved_bandwidth, + e.plan.total_reserved_bandwidth, ) == ([UP], [8], 8, 8) - assert (e.reservation_edge_flows.tolist(), e.placed) == ([8], 3) + assert (e.edge_reservations.tolist(), e.call_delivered) == ([8], 3) assert ledger_now(fg) == state fg2 = ngc.FlowLedger(one10()) q = policy(None, 0, 1, 2, ledger=fg2) @@ -564,7 +622,7 @@ def test_replace_evaluate_and_zero(): requests(z), fg2.reserved().tolist(), z.termination, - z.placed, + z.call_delivered, ) == ( [UP, UP], [0, 0], @@ -582,7 +640,13 @@ def test_replace_evaluate_and_zero(): def test_infinite_offer_masked_source_and_empty_roster(): r = policy(par612(), 0, 1, 4).replace(INF, design_demand=12) - assert (r.placed, r.remaining, r.requested, r.unadmitted, r.termination) == ( + assert ( + r.call_delivered, + r.call_undelivered, + r.requested, + r.unadmitted, + r.termination, + ) == ( 12, INF, INF, @@ -590,10 +654,10 @@ def test_infinite_offer_masked_source_and_empty_roster(): T.EXHAUSTED, ) g = twoh(10, 10) - r = policy(g, [0, 1], 2, 2, LOSSY, elig=g.eligibility(excluded_nodes=[0])).replace( - 10, design_demand=10 - ) - assert (requests(r), r.plan.head_design) == ([5, 5], ((1, 10),)) + r = policy( + g, [0, 1], 2, 2, LOSSY, eligibility=g.eligibility(excluded_nodes=[0]) + ).replace(10, design_demand=10) + assert (requests(r), r.plan.design_by_head) == ([5, 5], ((1, 10),)) assert source_rows(r) == [(0, 0, 0, 0, 0, 0), (1, 10, 10, 10, 0, 0)] # EMPTY. empty = build(3, [(1, 2, 5, 1)]) @@ -611,12 +675,12 @@ def test_infinite_offer_masked_source_and_empty_roster(): (), ) assert ( - r.plan.count, + r.plan.tunnels_per_head, r.plan.design_demand, - r.plan.head_design, - r.plan.reserved_total, + r.plan.design_by_head, + r.plan.total_reserved_bandwidth, ) == (2, 5, (), 0) - assert (r.call_source_loss, source_rows(r)) == (5, [(0, 0, 0, 0, 0, 0)]) + assert (r.call_source_drops, source_rows(r)) == (5, [(0, 0, 0, 0, 0, 0)]) for z in ( p.replace(0, design_demand=5), p.evaluate(0, design_demand=5), @@ -630,17 +694,17 @@ def test_all_down_and_round_order(): # Every tunnel down (design 14 asks 7 per tunnel, no path has 7); the round order. for offer in (5, 14): r = policy(diam5(), 0, 3, 2, LOSSY).replace(offer, design_demand=14) - assert (statuses(r), r.call_source_loss, r.placed, r.termination) == ( + assert (statuses(r), r.call_source_drops, r.call_delivered, r.termination) == ( [NB, NB], offer, 0, T.COMPLETE, ) s = policy(diam5(), 0, 3, 2).replace(offer, design_demand=14) - assert (s.placed, s.termination) == (0, T.EXHAUSTED) + assert (s.call_delivered, s.termination) == (0, T.EXHAUSTED) r = policy(twoh(10, 10), [0, 1], 2, 2).replace(10, design_demand=10) assert requests(r) == [3, 3, 2, 2] - assert [(t.index, t.head, t.local_index) for t in r.program.tunnels] == [ + assert [(t.entry_id, t.head, t.local_index) for t in r.program.tunnels] == [ (0, 0, 0), (1, 1, 0), (2, 0, 1), @@ -656,10 +720,10 @@ def test_by_tunnel_and_stretch(): (2, 0, UP, 3, 3, 0), (3, 0, UP, 3, 3, 0), ] - assert (r.call_drops, r.placed) == ([(0, 1)], 12) - # The pool baseline; a huge factor compares exactly. - for f, second in ((2.0, CC), (1e300, UP)): - r = policy(x8(), [0, 1], 2, 1, LOSSY, max_path_cost=ngc.Stretch(f)).replace( + assert (r.call_edge_drops, r.call_delivered) == ([(0, 1)], 12) + # The pool baseline; the largest numerator compares exactly. + for f, second in ((2, CC), (2**63 - 1, UP)): + r = policy(x8(), [0, 1], 2, 1, LOSSY, cost_ceiling=ngc.CostStretch(f)).replace( 4, design_demand=4 ) assert statuses(r) == [NB, second] @@ -698,7 +762,7 @@ def test_flags(): other.remove() freed = mine.replace(8, design_demand=8) assert (statuses(held), statuses(freed)) == ([UP, NB], [UP, UP]) - assert [t.reserved for t in held.program.tunnels] == [4, 0] + assert [t.reserved_bandwidth for t in held.program.tunnels] == [4, 0] assert requests(held) == requests(freed) == [4, 4] assert freed.reservations_changed @@ -711,8 +775,12 @@ def test_pinned_over_a_t1_program_reserves_nothing(): g = one10() up = policy(g, 0, 1, 1).replace(0, design_demand=6).program down = policy(g, 0, 1, 1).replace(0, design_demand=20).program - assert [(t.status, t.requested, t.reserved) for t in up.tunnels] == [(UP, 6, 6)] - assert [(t.status, t.requested, t.reserved) for t in down.tunnels] == [(NB, 20, 0)] + assert [ + (t.status, t.requested_bandwidth, t.reserved_bandwidth) for t in up.tunnels + ] == [(UP, 6, 6)] + assert [ + (t.status, t.requested_bandwidth, t.reserved_bandwidth) for t in down.tunnels + ] == [(NB, 20, 0)] for prog in (up, down): for op in ("evaluate", "replace", "place"): fg = ngc.FlowLedger(g) @@ -720,18 +788,18 @@ def test_pinned_over_a_t1_program_reserves_nothing(): r = getattr(p, op)(1) assert not r.reservations_changed, (prog.tunnels[0].status, op) assert r.plan is None - assert [(t.requested, t.reserved) for t in r.program.tunnels] == [ - (t.requested, t.reserved) for t in prog.tunnels - ] + assert [ + (t.requested_bandwidth, t.reserved_bandwidth) for t in r.program.tunnels + ] == [(t.requested_bandwidth, t.reserved_bandwidth) for t in prog.tunnels] assert fg.reserved().tolist() == [0] - assert all(rec.reserved_edges == [] for rec in p.records()) + assert all(rec.edge_reservations == [] for rec in p.records()) # ---------------------------------------------------------------- records, rows, terminations (F) def test_rows(): - # The 6.6 policy's rows and records; forward recreates the records with their holds. + # The TWOH call's policy's rows and records; forward recreates the records with their holds. p = policy(twoh(2, 10), [0, 1], 2, 2, LOSSY) r = p.replace(12, design_demand=12) assert rows(r) == [ @@ -742,14 +810,16 @@ def test_rows(): ] assert source_rows(r) == [(0, 6, 6, 0, 6, 0), (1, 6, 6, 6, 0, 0)] recs = p.records() - assert [rec.entry for rec in recs] == [0, 1, 2, 3] - assert [rec.route_cost for rec in recs] == [None, 1, None, 1] - assert [len(rec.bundle.via_edges()) for rec in recs] == [0, 1, 0, 1] + assert [rec.entry_id for rec in recs] == [0, 1, 2, 3] + assert [rec.min_route_cost for rec in recs] == [None, 1, None, 1] + assert [len(rec.route.via_edges()) for rec in recs] == [0, 1, 0, 1] ids = [rec.flow_id for rec in recs] f = p.forward(8) assert not (f.routes_changed or f.weights_changed or f.reservations_changed) after = p.records() - assert [rec.reserved_edges for rec in after] == [rec.reserved_edges for rec in recs] + assert [rec.edge_reservations for rec in after] == [ + rec.edge_reservations for rec in recs + ] assert all(a.flow_id != b for a, b in zip(after, ids, strict=True)) @@ -766,7 +836,7 @@ def test_terminations(): ) g = one10() prog = ngc.ForwardingProgram.from_routes( - g, 0, 1, [ngc.Route(0, ngc.Path(g, [[0]]), weight=0)] + g, 0, 1, [ngc.RouteDefinition(0, ngc.Path(g, [[0]]), weight=0)] ) for adm in (LOSSLESS, LOSSY): z = ngc.FlowPolicy( @@ -783,7 +853,7 @@ def test_no_certificates_and_plan_only_for_t1(): r = policy(g, [0, 1], 2, 2).replace( INF, design_demand=12, outputs=ngc.OutputOptions(min_cut=True) ) - assert (r.total_cost, r.min_cut, r.cost_distribution) == (None, None, None) + assert (r.total_cost, r.min_cut, r.marginal_cost_curve) == (None, None, None) assert isinstance(r.plan, ngc.TunnelPlan) pin = ngc.FlowPolicy( ngc.FlowLedger(g), @@ -806,16 +876,16 @@ def test_program_fields(): r = policy(twoh(2, 10), [0, 1], 2, 2, LOSSY).replace(12, design_demand=12) got = [ ( - t.index, + t.entry_id, t.head, t.local_index, t.status, - t.requested, - t.reserved, + t.requested_bandwidth, + t.reserved_bandwidth, t.weight, t.destination, t.edges, - t.route_cost, + t.path_cost, ) for t in r.program.tunnels ] @@ -833,7 +903,7 @@ def test_program_fields(): # Two-hop tunnels end at the destination: DIAM5, N = 2, D = 10 (requests 5, 5; e2 of 4 is # filtered out): tunnel 0 takes e0 e3, tunnel 1 e1 e4, both cost 4, both to node 3. two = policy(diam5(), 0, 3, 2).replace(10, design_demand=10) - assert [(t.edges, t.destination, t.route_cost) for t in two.program.tunnels] == [ + assert [(t.edges, t.destination, t.path_cost) for t in two.program.tunnels] == [ ((0, 3), 3, 4), ((1, 4), 3, 4), ] @@ -841,37 +911,43 @@ def test_program_fields(): for t in ( ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, GLOBAL).place(12).program.tunnels ): - assert (t.status, t.requested, t.reserved) == (UP, 0, 0) - assert t.destination == 2 and t.edges is not None and t.route_cost is not None + assert (t.status, t.requested_bandwidth, t.reserved_bandwidth) == (UP, 0, 0) + assert t.destination == 2 and t.edges is not None and t.path_cost is not None supplied = ngc.ForwardingProgram.from_routes( - g, [0, 1], 2, [ngc.Route(0, ngc.Path(g, [[0]]))] + g, [0, 1], 2, [ngc.RouteDefinition(0, ngc.Path(g, [[0]]))] ) assert [ - (t.status, t.requested, t.reserved, t.destination) for t in supplied.tunnels + (t.status, t.requested_bandwidth, t.reserved_bandwidth, t.destination) + for t in supplied.tunnels ] == [(UP, 0, 0, 2)] -def pinned(g, prog, s, d, admission=LOSSY, elig=None, black_holes=None, ledger=None): +def pinned( + g, prog, s, d, admission=LOSSY, eligibility=None, black_holes=None, ledger=None +): cfg = ngc.FlowPolicyConfig( routing=ngc.Pinned(prog, black_holes=black_holes), admission=admission ) ledger = ledger if ledger is not None else ngc.FlowLedger(g) - return ngc.FlowPolicy(ledger, s, d, cfg, elig) + return ngc.FlowPolicy(ledger, s, d, cfg, eligibility) def test_t1_replay_stale_and_down_tunnels(): g = par612() prog = policy(g, 0, 1, 4, LOSSY).replace(13, design_demand=12).program mask = g.eligibility(excluded_edges=[0]) - r = pinned(g, prog, 0, 1, elig=mask).replace(13) + r = pinned(g, prog, 0, 1, eligibility=mask).replace(13) assert rows(r) == [ (0, 0, FAILED, 0, 0, 0), (1, 0, FAILED, 0, 0, 0), (2, 0, UP, 7, 3, 4), (3, 0, UP, 6, 3, 3), ] - assert (r.placed, r.call_drops) == (6, [(1, 7)]) - assert pinned(g, prog, 0, 1, LOSSLESS, elig=mask).replace(13).placed == 6 + assert (r.call_delivered, r.call_edge_drops) == (6, [(1, 7)]) + assert ( + pinned(g, prog, 0, 1, LOSSLESS, eligibility=mask).replace(13).call_delivered + == 6 + ) # Node 2 a black hole; the live forward the same, holds kept. g = diam5() fg = ngc.FlowLedger(g) @@ -880,17 +956,20 @@ def test_t1_replay_stale_and_down_tunnels(): dark = g.eligibility(excluded_nodes=[2]) r = pinned(g, prog, 0, 3, black_holes=dark).replace(10) assert rows(r) == [(0, 0, UP, 5, 5, 0), (1, 0, BLACKHOLED, 5, 0, 5)] - assert (r.call_drops, r.placed) == ([(1, 5)], 5) - assert pinned(g, prog, 0, 3, LOSSLESS, black_holes=dark).replace(10).placed == 1 + assert (r.call_edge_drops, r.call_delivered) == ([(1, 5)], 5) + assert ( + pinned(g, prog, 0, 3, LOSSLESS, black_holes=dark).replace(10).call_delivered + == 1 + ) held = fg.reserved().tolist() f = p.forward(10, black_holes=dark) - assert (rows(f), f.placed, fg.reserved().tolist()) == (rows(r), 5, held) + assert (rows(f), f.call_delivered, fg.reserved().tolist()) == (rows(r), 5, held) assert [t.status for t in p.program.tunnels] == [UP, UP] g = twoh(2, 10) live = policy(g, [0, 1], 2, 2, LOSSY).replace(12, design_demand=12) pin = pinned(g, live.program, [0, 1], 2) r = pin.replace(12) - assert (r.placed, r.call_source_loss, rows(r), r.plan, r.termination) == ( + assert (r.call_delivered, r.call_source_drops, rows(r), r.plan, r.termination) == ( 6, 6, rows(live), @@ -900,8 +979,10 @@ def test_t1_replay_stale_and_down_tunnels(): # The replay roster comes from the topology basis: head 0 keeps its share and loses it. rg = graph([(0, 2, 10, 1), (0, 3, 10, 5), (1, 2, 10, 1), (3, 2, 10, 5)]) prog = policy(rg, [0, 1], 2, 1, LOSSY).replace(10, design_demand=10).program - x = pinned(rg, prog, [0, 1], 2, elig=rg.eligibility(excluded_edges=[0])).replace(10) - assert (x.placed, x.call_source_loss, x.termination) == (5, 5, T.COMPLETE) + x = pinned( + rg, prog, [0, 1], 2, eligibility=rg.eligibility(excluded_edges=[0]) + ).replace(10) + assert (x.call_delivered, x.call_source_drops, x.termination) == (5, 5, T.COMPLETE) assert source_rows(x) == [(0, 5, 5, 0, 5, 0), (1, 5, 5, 5, 0, 0)] @@ -909,153 +990,130 @@ def test_t1_replay_stale_and_down_tunnels(): def q(cfg, **kw): - return ngc.QueryOptions(cfg, **kw) + return ngc.EvaluationOptions(cfg, **kw) def test_capacity(): g = par612() - assert ngc.capacity(g, 0, 1, q(t1_config(4), design_demand=12)).placed == 12 - r = ngc.capacity(g, 0, 1, q(t1_config(4, LOSSY), design_demand=12, offered=13)) - assert (r.placed, r.call_drops, r.plan.reserved_total) == (12, [(0, 1)], 12) + assert ( + ngc.evaluate_demand(g, 0, 1, q(t1_config(4), design_demand=12)).call_delivered + == 12 + ) + r = ngc.evaluate_demand(g, 0, 1, q(t1_config(4, LOSSY), design_demand=12, offer=13)) + assert (r.call_delivered, r.call_edge_drops, r.plan.total_reserved_bandwidth) == ( + 12, + [(0, 1)], + 12, + ) for opts, text in ( - (q(t1_config(4)), "T1 capacity requires design_demand"), - (q(t1_config(4, LOSSY)), "T1 capacity requires design_demand"), - (q(t1_config(4), design_demand=INF), "T1 requires a finite design demand"), + (q(t1_config(4)), "DistributedTE evaluation requires design_demand"), + (q(t1_config(4, LOSSY)), "DistributedTE evaluation requires design_demand"), ( - q(t1_config(4, LOSSY), design_demand=12), - "T1 LOSSY capacity requires finite offered", + q(t1_config(4), design_demand=INF), + "DistributedTE requires a finite design demand", ), ( - q(t1_config(4, LOSSY), design_demand=12, offered=INF), - "T1 LOSSY capacity requires finite offered", + q(t1_config(4, LOSSY), design_demand=12), + "DistributedTE LOSSY evaluation requires a finite offer", ), ( - q(t1_config(4), design_demand=12, offered=5), - "T1 LOSSLESS capacity does not accept offered", + q(t1_config(4, LOSSY), design_demand=12, offer=INF), + "offer must be an integer in [0, 2^62)", ), - (q(COSTONLY, design_demand=5), "CostOnly does not accept design_demand"), - (q(GLOBAL, design_demand=5), "Global does not accept design_demand"), + (q(COSTONLY, design_demand=5), "ShortestPaths does not accept design_demand"), + (q(GLOBAL, design_demand=5), "CentralizedTE does not accept design_demand"), ): with pytest.raises(ValueError, match=exact(text)): - ngc.capacity(g, 0, 1, opts) + ngc.evaluate_demand(g, 0, 1, opts) + # Lossless with a finite offer: the tunnels' delivery up to it. + r5 = ngc.evaluate_demand(g, 0, 1, q(t1_config(4), design_demand=12, offer=5)) + assert r5.call_delivered == 5 + # The design is kept as given and checked by the evaluator. + assert q(t1_config(4), design_demand=-1).design_demand == -1 with pytest.raises( ValueError, match=exact("design_demand must be an integer in [0, 2^62) or permitted +inf"), ): - q(t1_config(4), design_demand=-1) + ngc.evaluate_demand(g, 0, 1, q(t1_config(4), design_demand=-1)) assert q(t1_config(4), design_demand=INF).design_demand == INF assert ( q(t1_config(4), design_demand=7).design_demand == 7 and q(COSTONLY).design_demand is None ) prog = ngc.ForwardingProgram.from_routes( - g, 0, 1, [ngc.Route(0, ngc.Path(g, [[0]]))] + g, 0, 1, [ngc.RouteDefinition(0, ngc.Path(g, [[0]]))] ) with pytest.raises(ValueError, match=exact("Pinned does not accept design_demand")): - ngc.capacity( + ngc.evaluate_demand( g, 0, 1, q(ngc.FlowPolicyConfig(routing=ngc.Pinned(prog)), design_demand=5) ) - rs = ngc.batch_capacity(one10(), [(0, 1), (0, 1)], q(t1_config(1), design_demand=6)) - assert [r.placed for r in rs] == [10, 10] + rs = ngc.evaluate_pairs(one10(), [(0, 1), (0, 1)], q(t1_config(1), design_demand=6)) + assert [r.call_delivered for r in rs] == [10, 10] -def test_sensitivity(): +def test_edge_failures(): # X8, design 4: the bound is 0 (head 0's tunnel is down and its head keeps a share); # deleting the zero-capacity e0 drops head 0, so the bound rises by 8; deleting e1 loses 0. - s = ngc.sensitivity(x8(), [0, 1], 2, q(t1_config(1), design_demand=4)) - assert (s.baseline.placed, [(e.edge, e.loss) for e in s.entries]) == ( + s = ngc.evaluate_edge_failures(x8(), [0, 1], 2, q(t1_config(1), design_demand=4)) + assert ( + s.baseline.call_delivered, + [(e.edge, e.delivery_reduction) for e in s.entries], + ) == ( 0, [(0, -8), (1, 0)], ) g = graph([(0, 1, 6, 1), (0, 1, 6, 2), (2, 0, 5, 1)]) - s = ngc.sensitivity(g, 0, 1, q(t1_config(4), design_demand=12)) - assert [(e.edge, e.loss) for e in s.entries] == [(0, 6), (1, 6), (2, 0)] - zero = q(t1_config(1, LOSSY), design_demand=4, offered=0) - r = ngc.capacity(x8(), [0, 1], 2, zero) - assert (r.termination, r.placed) == (T.COMPLETE, 0) - assert all(e.loss == 0 for e in ngc.sensitivity(x8(), [0, 1], 2, zero).entries) + s = ngc.evaluate_edge_failures(g, 0, 1, q(t1_config(4), design_demand=12)) + assert [(e.edge, e.delivery_reduction) for e in s.entries] == [ + (0, 6), + (1, 6), + (2, 0), + ] + zero = q(t1_config(1, LOSSY), design_demand=4, offer=0) + r = ngc.evaluate_demand(x8(), [0, 1], 2, zero) + assert (r.termination, r.call_delivered) == (T.COMPLETE, 0) + assert all( + e.delivery_reduction == 0 + for e in ngc.evaluate_edge_failures(x8(), [0, 1], 2, zero).entries + ) # Everything masked. gm = x8() masked = q( - t1_config(1), design_demand=4, elig=gm.eligibility(excluded_edges=[0, 1]) + t1_config(1), design_demand=4, eligibility=gm.eligibility(excluded_edges=[0, 1]) ) - r = ngc.capacity(gm, [0, 1], 2, masked) - assert (r.termination, r.placed) == (T.NO_ROUTE, 0) - assert [x.termination for x in ngc.batch_capacity(gm, [([0, 1], 2)], masked)] == [ + r = ngc.evaluate_demand(gm, [0, 1], 2, masked) + assert (r.termination, r.call_delivered) == (T.NO_ROUTE, 0) + assert [x.termination for x in ngc.evaluate_pairs(gm, [([0, 1], 2)], masked)] == [ T.NO_ROUTE ] -# ---------------------------------------------------------------- multipath None (M) +# ---------------------------------------------------------------- multipath is a bool (M) -def test_multipath_none(): - # None equals True for the searches and CostOnly on random graphs; the pooled - # single-path rule fires on False only. - rng = random.Random(4) - compared = 0 - for _ in range(60): - n = rng.randint(3, 6) - rows_ = sorted( - (u, v, rng.randint(0, 5), rng.randint(1, 3)) - for u, v in ( - (rng.randrange(n), rng.randrange(n)) for _ in range(rng.randint(3, 10)) - ) - if u != v - ) - if not rows_: - continue - g = build(n, rows_) - for tie in (DETP, PHP): - a = ngc.spf( - g, - 0, - ngc.SpfOptions( - ngc.Direction.FORWARD, ngc.PathSelection(tie, CAP, None, True) - ), - ) - b = ngc.spf( - g, - 0, - ngc.SpfOptions( - ngc.Direction.FORWARD, ngc.PathSelection(tie, CAP, True, True) - ), - ) - assert (a.costs.tolist(), a.dag.via_edges().tolist()) == ( - b.costs.tolist(), - b.dag.via_edges().tolist(), - ) - cfgs = [ - ngc.FlowPolicyConfig( - routing=ngc.CostOnly(), - placement=ngc.FlowPlacement.EQUAL_BALANCED, - selection=ngc.PathSelection(tie, CAP, mp, True), - ) - for mp in (None, True) - ] - got = [ - ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], n - 1, c).place(INF).placed - for c in cfgs - ] - assert got[0] == got[1] - compared += 1 - assert compared > 50 +def test_multipath_is_a_bool_and_the_pooled_rule(): + # None is no multipath value (it was the model's natural shape before); the pooled + # single-path rule fires on multipath=False with a HIGHER_* tie_break only. + with pytest.raises(TypeError): + ngc.SpfOptions(ngc.Direction.FORWARD, multipath=None) + with pytest.raises(TypeError): + ngc.ShortestPaths(multipath=None) g = twoh(10, 10) - pooled = ngc.FlowPolicyConfig( - routing=ngc.CostOnly(), - placement=ngc.FlowPlacement.EQUAL_BALANCED, - selection=ngc.PathSelection(PHP, CAP, None, True), - ) - ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, pooled) - single = ngc.FlowPolicyConfig( - routing=ngc.CostOnly(), - placement=ngc.FlowPlacement.EQUAL_BALANCED, - selection=ngc.PathSelection(PHP, CAP, False, True), - ) + + def pooled(routing): + cfg = ngc.FlowPolicyConfig(routing=routing) + return ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, cfg) + + pooled(ngc.ShortestPaths(tie_break=TIE.HIGHER_CAPACITY, parallel_edges=False)) + pooled(ngc.ShortestPaths(multipath=False)) with pytest.raises( - ValueError, match="rejects multipath=false with PREFER_HIGHER_PRIORITY" + ValueError, + match=exact( + "ShortestPaths with multiple input sources requires tie_break=FEWER_HOPS" + " when multipath=False" + ), ): - ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, single) + pooled(ngc.ShortestPaths(tie_break=TIE.HIGHER_CAPACITY, multipath=False)) # ---------------------------------------------------------------- numeric ranges (W) @@ -1069,10 +1127,10 @@ def test_ranges(): r = policy(g, 0, 1, 1, LOSSY, ledger=fg).replace(m, design_demand=m) assert ( statuses(r), - r.plan.reserved_total, + r.plan.total_reserved_bandwidth, fg.reserved().tolist(), fg.unreserved().tolist(), - r.placed, + r.call_delivered, ) == ( [UP], m, @@ -1080,7 +1138,7 @@ def test_ranges(): [0], m, ) - assert policy(g, 0, 1, 1).replace(INF, design_demand=m).placed == m + assert policy(g, 0, 1, 1).replace(INF, design_demand=m).call_delivered == m fg = ngc.FlowLedger(g) half = 1 << 61 assert statuses( @@ -1096,13 +1154,18 @@ def test_ranges(): fg = ngc.FlowLedger(g) D = L62 - 4 r = policy(g, [0, 1, 2, 3], 4, 10000, ledger=fg).replace(D, design_demand=D) - reqs = [t.requested for t in r.program.tunnels] + reqs = [t.requested_bandwidth for t in r.program.tunnels] assert len(reqs) == 40000 and all(t.status == UP for t in r.program.tunnels) assert (reqs.count(115292150460685), reqs.count(115292150460684)) == ( 4 * 6975, 4 * 3025, ) - assert (sum(reqs), r.plan.reserved_total, fg.reserved().tolist(), r.placed) == ( + assert ( + sum(reqs), + r.plan.total_reserved_bandwidth, + fg.reserved().tolist(), + r.call_delivered, + ) == ( D, D, [cap] * 4, @@ -1118,13 +1181,18 @@ def test_zero_and_masked(): fg = ngc.FlowLedger(twoh(2, 10)) p = policy(None, [0, 1], 2, 2, adm, ledger=fg) r = p.replace(0, design_demand=12) - assert (r.termination, r.placed, statuses(r), fg.reserved().tolist()) == ( + assert ( + r.termination, + r.call_delivered, + statuses(r), + fg.reserved().tolist(), + ) == ( T.COMPLETE, 0, [NB, UP, NB, UP], [0, 6], ) - assert [(rec.entry, rec.delivered) for rec in p.records()] == [ + assert [(rec.entry_id, rec.delivered) for rec in p.records()] == [ (0, 0), (1, 0), (2, 0), @@ -1147,27 +1215,33 @@ def test_zero_and_masked(): assert d.replace(5, design_demand=14).termination == ( T.COMPLETE if adm == LOSSY else T.EXHAUSTED ) - assert [rec.entry for rec in d.records()] == [0, 1] + assert [rec.entry_id for rec in d.records()] == [0, 1] assert d.forward(0).termination == T.COMPLETE g = twoh(10, 10) - e = policy(g, [0, 1], 2, 2, adm, elig=g.eligibility(excluded_edges=[0, 1])) + e = policy( + g, [0, 1], 2, 2, adm, eligibility=g.eligibility(excluded_edges=[0, 1]) + ) assert e.replace(5, design_demand=5).termination == T.NO_ROUTE assert ( e.replace(0, design_demand=5).termination == T.COMPLETE and e.records() == [] ) - # Pinned over the 6.6 program. + # Pinned over the TWOH call's program. g = twoh(2, 10) prog = policy(g, [0, 1], 2, 2, LOSSY).replace(12, design_demand=12).program - x = pinned(g, prog, [0, 1], 2, adm, elig=g.eligibility(excluded_edges=[1])) + x = pinned( + g, prog, [0, 1], 2, adm, eligibility=g.eligibility(excluded_edges=[1]) + ) r = x.replace(12) assert r.termination == T.NO_ACTIVE_WEIGHT assert [t.status for t in r.by_tunnel] == [NB, FAILED, NB, FAILED] if adm == LOSSY: assert source_rows(r) == [(0, 12, 12, 0, 12, 0), (1, 0, 0, 0, 0, 0)] assert x.replace(0).termination == T.COMPLETE - assert [rec.entry for rec in x.records()] == [0, 1, 2, 3] - y = pinned(g, prog, [0, 1], 2, adm, elig=g.eligibility(excluded_nodes=[0, 1])) + assert [rec.entry_id for rec in x.records()] == [0, 1, 2, 3] + y = pinned( + g, prog, [0, 1], 2, adm, eligibility=g.eligibility(excluded_nodes=[0, 1]) + ) assert ( y.replace(12).termination, y.replace(0).termination, @@ -1201,48 +1275,47 @@ def test_property(): continue g = build(n, rows_) # The oracle's edges in EdgeId order (the graph's own order of the input rows). - edges = [rows_[int(i)] for i in g.input_index()] + edges = [rows_[int(i)] for i in g.input_positions()] sources = sorted(rng.sample(range(n - 1), rng.randint(1, min(2, n - 1)))) dests = [n - 1] mask = None - elig = None + eligibility = None if rng.random() < 0.3: xe = [rng.randrange(len(rows_))] mask = ([], xe) - elig = g.eligibility(excluded_edges=xe) + eligibility = g.eligibility(excluded_edges=xe) caps = [c for _, _, c, _ in edges] unres = [rng.randint(0, c) for c in caps] if rng.random() < 0.4 else list(caps) resid = [rng.randint(0, c) for c in caps] if rng.random() < 0.4 else list(caps) - fg = ngc.FlowLedger(g, resid, unreserved=unres) + fg = ngc.FlowLedger(g, resid, reservation_baseline=unres) held = [0] * len(rows_) if rng.random() < 0.3 and sources: other = ngc.FlowPolicy(fg, sources[:1], dests, t1_config(1)) other.replace(0, design_demand=rng.randint(0, 4)) held = fg.reserved().tolist() php = rng.random() < 0.5 - prio = rng.choice(["CAPACITY", "RESIDUAL", "HEADROOM"]) + prio = rng.choice(["CAPACITY", "AVAILABLE_CAPACITY", "HEADROOM"]) me = rng.random() < 0.7 - s = ngc.PathSelection( - PHP if php else DETP, - getattr(ngc.EdgePriority, prio), - rng.choice([None, False]), - me, - ) + tie = f"HIGHER_{prio}" if php else "FEWER_HOPS" + s = {"tie_break": getattr(TIE, tie), "parallel_edges": me} minimum = rng.choice([0, 0, 1, 2]) ceiling = rng.choice( [ None, None, ("abs", rng.randint(1, 6)), - ("str", rng.choice([1.0, 1.5, 2.0])), + ("str", rng.choice([1.0, 1.2, 1.5, 2.0])), ] ) kw = {"min_unreserved_bandwidth": minimum} okw = {"minimum": minimum} if ceiling and ceiling[0] == "abs": - kw["max_path_cost"], okw["absolute"] = ngc.Absolute(ceiling[1]), ceiling[1] + kw["cost_ceiling"], okw["absolute"] = ( + ngc.AbsoluteCost(ceiling[1]), + ceiling[1], + ) elif ceiling: - kw["max_path_cost"], okw["stretch"] = ngc.Stretch(ceiling[1]), ceiling[1] + kw["cost_ceiling"], okw["stretch"] = ngc.CostStretch(ceiling[1]), ceiling[1] N = rng.randint(1, 3) D = rng.randint(0, 12) want = orc.setup( @@ -1251,7 +1324,7 @@ def test_property(): dests, D, N, - sel=orc.Selection(php, prio, me), + sel=orc.Selection(tie, me), mask=mask, unreserved=fg.unreserved().tolist(), held=None, @@ -1260,11 +1333,12 @@ def test_property(): ) before_holds = fg.reserved().tolist() V = fg.residual().tolist() - p = ngc.FlowPolicy(fg, sources, dests, t1_config(N, selection=s, **kw), elig) + p = ngc.FlowPolicy(fg, sources, dests, t1_config(N, **s, **kw), eligibility) r = p.replace(INF, design_demand=D) where = (trial, rows_, sources, D, N, s, kw) got = [ - (t.status.name, list(t.edges or []), t.requested) for t in r.program.tunnels + (t.status.name, list(t.edges or []), t.requested_bandwidth) + for t in r.program.tunnels ] assert got == [(t.status, t.path or [], t.requested) for t in want.tunnels], ( where @@ -1277,38 +1351,39 @@ def test_property(): assert all( x <= u for x, u in zip(fg.reserved().tolist(), unres, strict=True) ), where - # The lossless bound of 8.3 on the service view. + # The program's lossless bound on the service view. if want.roster: - assert r.placed == orc.lossless_bound( + assert r.call_delivered == orc.lossless_bound( edges, want.roster, want.tunnels, V ), where lossless += 1 - # 6.5: every tunnel up and U <= V: the design is carried losslessly. + # Every tunnel up and U <= V: the design is carried losslessly. U = [u - h for u, h in zip(unres, held, strict=True)] if ( want.roster and all(t.up for t in want.tunnels) and all(a <= b for a, b in zip(U, V, strict=True)) ): - assert p.replace(D, design_demand=D).placed == D, where + assert p.replace(D, design_demand=D).call_delivered == D, where all_up += 1 # Lossy: the oracle's loss rule, conservation and the setup independent of the offer. offer = rng.randint(0, 14) # The same setup view: the other owner's holds taken out of the reservation baseline. seen = [u - h for u, h in zip(unres, held, strict=True)] lp = ngc.FlowPolicy( - ngc.FlowLedger(g, resid, unreserved=seen), + ngc.FlowLedger(g, resid, reservation_baseline=seen), sources, dests, - t1_config(N, LOSSY, selection=s, **kw), - elig, + t1_config(N, LOSSY, **s, **kw), + eligibility, ) lr = lp.replace(offer, design_demand=D) assert [(t.status.name, list(t.edges or [])) for t in lr.program.tunnels] == [ (a, b) for a, b, _ in got ], where assert ( - lr.offered == lr.source_loss + sum(x for _, x in lr.drops) + lr.delivered + lr.offered + == lr.source_drops + sum(x for _, x in lr.edge_drops) + lr.delivered ), where assert ( lr.offered == sum(row.offered for row in lr.by_source) or not want.roster @@ -1320,9 +1395,9 @@ def test_property(): ) except AssertionError: continue - assert (lr.placed, lr.call_source_loss) == (delivered, lost), where + assert (lr.call_delivered, lr.call_source_drops) == (delivered, lost), where assert [ - (t.assigned, t.delivered, t.dropped) for t in lr.by_tunnel + (t.assigned, t.delivered, t.total_edge_drops) for t in lr.by_tunnel ] == per, where lossy_cmp += 1 # Not vacuous. @@ -1340,7 +1415,7 @@ def test_property(): @needs_hooks @pytest.mark.parametrize("method", ["replace", "evaluate", "forward"]) def test_t1_results_survive_python_allocation_failures(method): - # Every Python object of a T1 result (the plan, tunnels with None fields, reserved_edges) + # Every Python object of a T1 result (the plan, tunnels with None fields, edge_reservations) # exists before anything is published. The calls are positional (the design is the offer): # pybind11's parsing of a call that passes keywords does not check its allocations, so a # keyword call may crash there (limit 1 of the module docstring). @@ -1363,18 +1438,21 @@ def snapshot(): import _netgraph_core as ext, netgraph_core as ngc g = ngc.Graph(3, [0, 1], [2, 2], [2, 10], [1, 1], 1.0) fg = ngc.FlowLedger(g) -cfg = ngc.FlowPolicyConfig(routing=ngc.CapacityAware(ngc.Tunnels(2)), admission=ngc.Admission.LOSSY) +cfg = ngc.FlowPolicyConfig(routing=ngc.DistributedTE(ngc.TunnelCount(2)), admission=ngc.Admission.LOSSY) p = ngc.FlowPolicy(fg, [0, 1], 2, cfg) r = p.replace(12, design_demand=12) fid = p.records()[0].flow_id ca = cfg.routing t0 = r.program.tunnels[0] -abs3 = ngc.CapacityAware(ngc.Tunnels(2), max_path_cost=ngc.Absolute(3)) -st2 = ngc.CapacityAware(ngc.Tunnels(2), max_path_cost=ngc.Stretch(2.0)) +abs3 = ngc.DistributedTE(ngc.TunnelCount(2), cost_ceiling=ngc.AbsoluteCost(3)) +st2 = ngc.DistributedTE(ngc.TunnelCount(2), cost_ceiling=ngc.CostStretch(2.0)) +sp = ngc.ShortestPaths(tie_break=ngc.RouteTieBreak.HIGHER_HEADROOM, multipath=False) fn = lambda: {getter} +expected = repr(fn()) # the getter reads its value first: a missing name fails here for k in range(400): hit, seen, value, error = ext._fail_python_allocation(fn, (), k) if not hit: + assert error is None and repr(value) == expected, (k, error, value) break assert value is None and isinstance(error, (MemoryError, RuntimeError)), (k, error) else: @@ -1391,11 +1469,16 @@ def snapshot(): "fg.reserved()", "fg.unreserved()", "r.plan", - "r.plan.head_design", - "ca.tunnels", + "r.plan.design_by_head", + "ca.tunnel_count", "t0.status", "repr(abs3)", "repr(st2)", + "st2.cost_ceiling.factor", + "st2.cost_ceiling", + "cfg.routing", + "repr(r)", + "repr(sp)", "p.records()", "p.record(fid)", "fg.records()", @@ -1415,3 +1498,51 @@ def test_t1_getters_survive_python_allocation_failures(getter): ) assert done.returncode == 0, (getter, done.returncode, done.stderr[-400:]) assert int(done.stdout.split()[-1]) >= 1 + + +# ---------------------------------------------------------------- the exact stretch (S) + + +def test_stretch_exact(): + # A-X8-Stretch-exact / -cost7: links of costs 5 (capacity 0) and 6 or 7, D = 1, N = 1. c0 = 5 + # counts the zero-capacity link; 1.2 is exactly 6/5, so cost 6 is admitted at equality (up on + # e1, 1 delivered, Lossless bound 1) and cost 7 is not (the share lost at the source). + for cost, status, route, delivered in ((6, UP, [1], 1), (7, CC, [], 0)): + g = graph([(0, 1, 0, 5), (0, 1, 1, cost)]) + factor = 1.2 if cost == 6 else Fraction(6, 5) + lossy = policy(g, 0, 1, 1, LOSSY, cost_ceiling=ngc.CostStretch(factor)) + r = lossy.replace(1, design_demand=1) + assert (statuses(r), routes(r)) == ([status], [route]), cost + assert (r.call_delivered, r.call_source_drops) == (delivered, 1 - delivered), ( + cost + ) + lossless = policy(g, 0, 1, 1, cost_ceiling=ngc.CostStretch(factor)) + assert lossless.replace(INF, design_demand=1).call_delivered == delivered, cost + + +def test_stretch_below_one(): + # T1-stretch-below-one: 1/2 is refused where the policy checks the ceiling (after the tunnel + # count); the lowest numerator too. + g = graph([(0, 1, 10, 5)]) + for factor, shown in ((Fraction(1, 2), "1/2"), (-(2**63), f"{-(2**63)}/1")): + text = f"cost_ceiling CostStretch factor must be >= 1 (got {shown})" + with pytest.raises(ValueError, match=exact(text)): + policy(g, 0, 1, 1, cost_ceiling=ngc.CostStretch(factor)) + with pytest.raises(ValueError, match=exact("tunnel count must be in [1, 10000]")): + policy(g, 0, 1, 0, cost_ceiling=ngc.CostStretch(0.5)) + + +def test_stretch_wide_products(): + # BIG(2^60): links 0 -> 1 of capacity 1 and costs 2^60 and 2^60 + 1, D = 2, N = 2: tunnel 0 + # (request 1) is up on e0; tunnel 1 finds e0 full and e1 at cost 2^60 + 1: up with + # (2^60 + 1) / 2^60 (equality), COST_CEILING_EXCEEDED with (2^61 + 1) / 2^61. + c0 = 2**60 + g = graph([(0, 1, 1, c0), (0, 1, 1, c0 + 1)]) + for factor, second in ( + (Fraction(2**60 + 1, 2**60), UP), + (Fraction(2**61 + 1, 2**61), CC), + ): + r = policy(g, 0, 1, 2, cost_ceiling=ngc.CostStretch(factor)).replace( + INF, design_demand=2 + ) + assert statuses(r) == [UP, second], factor diff --git a/tests/py/test_docs_examples.py b/tests/py/test_docs_examples.py index 6a7709e..5d7ccc9 100644 --- a/tests/py/test_docs_examples.py +++ b/tests/py/test_docs_examples.py @@ -107,7 +107,7 @@ def test_semantics_examples_print_their_documented_output(): text = (ROOT / "docs" / "semantics.md").read_text(encoding="utf-8") # The counts are pinned, so an example deleted together with its output is noticed: a # change to the document's examples updates them. - assert check_examples(text, "docs/semantics.md") == (25, 24) + assert check_examples(text, "docs/semantics.md") == (30, 29) def test_readme_quick_start_prints_its_commented_output(): diff --git a/tests/py/test_edge_amounts.py b/tests/py/test_edge_amounts.py index 9a3814b..bc6a9be 100644 --- a/tests/py/test_edge_amounts.py +++ b/tests/py/test_edge_amounts.py @@ -1,7 +1,7 @@ """The per-edge amount arrays at the binding: a ledger's baseline (at construction and reset), a search's residual (the public search and its K shortest paths) and -the flow core's view (the private _place_global_units) share one validation of the unnarrowed Python integers: the length first, -then every entry in EdgeId order, the first one outside [0, capacity_units[e]] reported with its +the flow core's view (the private _solve_min_cost_flow) share one validation of the unnarrowed Python integers: the length first, +then every entry in EdgeId order, the first one outside [0, edge_capacity_units[e]] reported with its exact value. Each user keeps its own names: ``residual`` / ``residual (units)`` and ``view`` / ``view (capacity units)``. """ @@ -11,7 +11,7 @@ import _netgraph_core as ext import numpy as np import pytest -from helpers import GLOBAL, build, exact, ledger_state, sel +from helpers import GLOBAL, build, exact, ledger_state import netgraph_core as ngc @@ -35,23 +35,23 @@ def reset(g, a, later): def search(g, a, later): opts = ngc.SpfOptions( - ngc.Direction.FORWARD, sel(), residual=a, min_residual=0 if later else 1 + ngc.Direction.FORWARD, residual=a, min_residual=0 if later else 1 ) return ngc.spf(g, 0, opts) def paths(g, a, later): - elig = graph().eligibility() if later else None # a foreign Eligibility - return ngc.ksp(g, 0, 2, ngc.KspOptions(1, sel(), residual=a, elig=elig)) + eligibility = graph().eligibility() if later else None # a foreign Eligibility + return ngc.ksp(g, 0, 2, ngc.KspOptions(1, residual=a, eligibility=eligibility)) def view(g, a, later): - return ext._place_global_units(g, a, [9] if later else [0], [2], None, None) + return ext._solve_min_cost_flow(g, a, [9] if later else [0], [2], None, None) USERS = { - "ledger": ("residual", "residual (units)", ledger), - "reset": ("residual", "residual (units)", reset), + "ledger": ("service_baseline", "service_baseline (units)", ledger), + "reset": ("service_baseline", "service_baseline (units)", reset), "search": ("residual", "residual (units)", search), "paths": ("residual", "residual (units)", paths), "view": ("view", "view (capacity units)", view), @@ -83,30 +83,30 @@ def view(g, a, later): "{label} entries must be integers (got dtype float64)", ), # the values: the first entry outside, exact also beyond int64 - ([-1, 99], False, "{name}[0] = -1 is outside [0, capacity_units[0] = 5]"), - ([5, 4], False, "{name}[1] = 4 is outside [0, capacity_units[1] = 3]"), + ([-1, 99], False, "{name}[0] = -1 is outside [0, edge_capacity_units[0] = 5]"), + ([5, 4], False, "{name}[1] = 4 is outside [0, edge_capacity_units[1] = 3]"), ( [5, 2**70], False, - "{name}[1] = 1180591620717411303424 is outside [0, capacity_units[1] = 3]", + "{name}[1] = 1180591620717411303424 is outside [0, edge_capacity_units[1] = 3]", ), ( [-(2**70), 9], False, - "{name}[0] = -1180591620717411303424 is outside [0, capacity_units[0] = 5]", + "{name}[0] = -1180591620717411303424 is outside [0, edge_capacity_units[0] = 5]", ), ( np.array([5, 2**64 - 1], dtype=np.uint64), False, - "{name}[1] = 18446744073709551615 is outside [0, capacity_units[1] = 3]", + "{name}[1] = 18446744073709551615 is outside [0, edge_capacity_units[1] = 3]", ), # an amount above its capacity (one above; beyond 64 bits) wins over an argument checked # after the amounts - ([6, 0], True, "{name}[0] = 6 is outside [0, capacity_units[0] = 5]"), + ([6, 0], True, "{name}[0] = 6 is outside [0, edge_capacity_units[0] = 5]"), ( [5, 2**70], True, - "{name}[1] = 1180591620717411303424 is outside [0, capacity_units[1] = 3]", + "{name}[1] = 1180591620717411303424 is outside [0, edge_capacity_units[1] = 3]", ), ] @@ -156,7 +156,7 @@ def test_the_later_defect_alone_is_rejected(user, text): [0, ngc.UNREACHABLE, ngc.UNREACHABLE], ), "paths": (len, 1, 0), - "view": (lambda r: (r["placed"], r["edge_flows"]), (3, [3, 3]), (0, [0, 0])), + "view": (lambda r: (r["flow_value"], r["edge_flows"]), (3, [3, 3]), (0, [0, 0])), } @@ -176,7 +176,7 @@ def test_a_failed_reset_leaves_the_ledger_unchanged(): g = graph() fg = ngc.FlowLedger(g, [4, 2]) policy = ngc.FlowPolicy(fg, 0, 2, GLOBAL) - assert policy.place(2).placed == 2 + assert policy.place(2).call_delivered == 2 del policy # its records stay as orphans: reset() is allowed and would clear them uid, before = fg.uid(), ledger_state(fg) @@ -186,7 +186,7 @@ def test_a_failed_reset_leaves_the_ledger_unchanged(): fg.reset(bad) assert (fg.uid(), ledger_state(fg)) == (uid, before) fg.reset([1, 1]) - assert (fg.residual().tolist(), fg.allocated().tolist(), fg.records()) == ( + assert (fg.residual().tolist(), fg.carried().tolist(), fg.records()) == ( [1, 1], [0, 0], [], diff --git a/tests/py/test_evaluators.py b/tests/py/test_evaluators.py new file mode 100644 index 0000000..7e617e2 --- /dev/null +++ b/tests/py/test_evaluators.py @@ -0,0 +1,591 @@ +"""The evaluators' offer (docs/semantics.md, "10. Evaluators"): a finite offer for every model under +each admission it supports, in all three evaluators; EvaluationOptions keeps its offer and design +as given and the evaluators check them after the configuration, in the documented order; the +worked EVAL examples run on the library. PAR(a, b) +is two parallel links 0 -> 1 of capacities a and b, cost 1.""" + +from __future__ import annotations + +import math + +import numpy as np +import pytest +from helpers import build, exact + +import netgraph_core as ngc + +INF = math.inf +A = ngc.RouteAllocation +S = ngc.SourceAllocation +LL = ngc.Admission.LOSSLESS +LY = ngc.Admission.LOSSY +T = ngc.Termination +L62 = 1 << 62 +DOMAIN = "offer must be an integer in [0, 2^62)" + + +def par(a, b): + return build(2, [(0, 1, a, 1), (0, 1, b, 1)]) + + +def opts(routing, admission=LL, **kw): + return ngc.EvaluationOptions( + ngc.FlowPolicyConfig(routing=routing, admission=admission), **kw + ) + + +def demand(g, routing, admission=LL, **kw): + return ngc.evaluate_demand(g, 0, 1, opts(routing, admission, **kw)) + + +def failures(g, routing, admission=LL, workers=1, **kw): + s = ngc.evaluate_edge_failures(g, 0, 1, opts(routing, admission, **kw), workers) + return s.baseline.call_delivered, [x.delivery_reduction for x in s.entries] + + +def dte(count=2): + return ngc.DistributedTE(ngc.TunnelCount(count)) + + +def t2(count=2): + return ngc.CentralizedTE( + source_allocation=S.EQUAL, tunnel_count=ngc.TunnelCount(count) + ) + + +def two_paths(g): + # The program of two tunnels, one on each link. + routes = [ngc.RouteDefinition(0, ngc.Path(g, [[e]])) for e in (0, 1)] + return ngc.Pinned(ngc.ForwardingProgram.from_routes(g, 0, 1, routes)) + + +# -- construction ----------------------------------------------------------------------------- + + +def test_options_construction(): + # The offer and the design are Units kept as given: a negative, an infinite or a float value + # constructs and reads back unchanged (the evaluator checks it); another type is a TypeError. + cfg = ngc.FlowPolicyConfig(routing=ngc.ShortestPaths()) + for value in (-1, INF, 4.0, 2**70): + assert ngc.EvaluationOptions(cfg, offer=value).offer == value + assert ngc.EvaluationOptions(cfg, design_demand=-1).design_demand == -1 + assert ngc.EvaluationOptions(cfg, offer=np.int64(3)).offer == 3 + for bad in ("4", True, np.bool_(True), [4]): + with pytest.raises(TypeError, match=r"^offer must be an int or a float"): + ngc.EvaluationOptions(cfg, offer=bad) + with pytest.raises( + TypeError, match=r"^design_demand must be an int or a float" + ): + ngc.EvaluationOptions(cfg, design_demand=bad) + with pytest.raises(TypeError): + ngc.EvaluationOptions(cfg, offered=4) + + +# -- one model at a time (E1 to E7) ---------------------------------------------------------- + + +def test_offer_shortest_paths_lossless(): + # ECMP on PAR(4, 10): the uncapped bound 8 (each link 4); an offer below it is delivered in + # full, above it up to 8; a zero offer delivers nothing. + g = par(4, 10) + r = demand(g, ngc.ShortestPaths()) + assert (r.call_delivered, r.requested, r.termination) == (8, INF, T.EXHAUSTED) + r = demand(g, ngc.ShortestPaths(), offer=5) + assert (r.call_delivered, r.requested, r.call_undelivered, r.termination) == ( + 5, + 5, + 0, + T.COMPLETE, + ) + r = demand(g, ngc.ShortestPaths(), offer=12) + assert (r.call_delivered, r.call_undelivered, r.termination) == (8, 4, T.EXHAUSTED) + r = demand(g, ngc.ShortestPaths(), offer=0) + assert (r.call_delivered, r.termination) == (0, T.COMPLETE) + + +def test_offer_shortest_paths_lossy(): + # ECMP Lossy on PAR(4, 10): the offer 12 splits 6 and 6, link 0 drops 2. Without an offer, + # the first-hop experiment: each first-hop link injects its own free capacity (4 and 10), + # offered 14 against requested +inf, nothing dropped. + g = par(4, 10) + r = demand(g, ngc.ShortestPaths(), LY, offer=12) + assert (r.call_delivered, r.call_edge_drops, r.by_source[0].offered) == ( + 10, + [(0, 2)], + 12, + ) + assert r.termination == T.COMPLETE + r = demand(g, ngc.ShortestPaths(), LY) + assert (r.call_delivered, r.requested, r.by_source[0].offered) == (14, INF, 14) + assert r.call_edge_drops == [] + r = demand(g, ngc.ShortestPaths(), LY, offer=0) + assert (r.call_delivered, r.by_source[0].offered) == (0, 0) + + +def test_offer_weighted(): + # WCMP by capacity on PAR(4, 10): 14 uncapped; the offer 7 splits 2 and 5. + g = par(4, 10) + wcmp = ngc.ShortestPaths(allocation=A.WEIGHTED) + assert demand(g, wcmp).call_delivered == 14 + r = demand(g, wcmp, offer=7, outputs=ngc.OutputOptions(edge_flows=True)) + assert r.call_delivered == 7 and r.edge_flows.tolist() == [2, 5] + + +def test_offer_controllers(): + # The controllers deliver the optimum up to the offer at cost 1 per unit; CentralizedTE's + # min_cut exists only when the solve reaches the maximum; LOSSY is refused by the matrix. + g = par(4, 10) + cut = ngc.OutputOptions(min_cut=True) + for model in ( + ngc.ShortestPaths(allocation=A.OPTIMIZED), + ngc.CentralizedTE(source_allocation=S.OPTIMIZED), + ): + r = demand(g, model, outputs=cut) + assert (r.call_delivered, r.total_cost) == (14, 14) + assert r.min_cut == ([0, 1] if isinstance(model, ngc.CentralizedTE) else None) + r = demand(g, model, offer=5, outputs=cut) + assert (r.call_delivered, r.total_cost, r.min_cut) == (5, 5, None) + with pytest.raises(ValueError, match="requires admission=LOSSLESS"): + demand(g, model, LY, offer=5) + + +def test_offer_distributed(): + # T1, two tunnels sized for the design 8 (requests 4 and 4: one on each link): Lossless + # bound 8, an offer 5 delivered in full; Lossy 12 splits 6 and 6, link 0 drops 2. + g = par(4, 10) + assert demand(g, dte(), design_demand=8).call_delivered == 8 + assert demand(g, dte(), design_demand=8, offer=5).call_delivered == 5 + r = demand(g, dte(), LY, design_demand=8, offer=12) + assert [list(t.edges) for t in r.program.tunnels] == [[0], [1]] + assert (r.call_delivered, r.call_edge_drops) == (10, [(0, 2)]) + with pytest.raises( + ValueError, + match=exact("DistributedTE LOSSY evaluation requires a finite offer"), + ): + demand(g, dte(), LY, design_demand=8) + with pytest.raises( + ValueError, match=exact("DistributedTE evaluation requires design_demand") + ): + demand(g, dte()) + + +def test_offer_centralized_tunnels(): + # T2 on PAR(4, 10), N = 2: without a design U = 5, both tunnels on link 1, the bound 10; an + # offer 5 is also the design; Lossy 12 (the design 12, u 5) drops 2 on link 1; Lossy with + # the design 4 and no offer forwards 4 (u 2, both tunnels on link 0). + g = par(4, 10) + r = demand(g, t2()) + assert (r.call_delivered, r.plan.max_bandwidth_per_tunnel) == (10, 5) + assert [list(t.edges) for t in r.program.tunnels] == [[1], [1]] + r = demand(g, t2(), offer=5) + assert (r.call_delivered, r.plan.design_demand) == (5, 5) + r = demand(g, t2(), LY, offer=12) + assert (r.call_delivered, r.call_edge_drops) == (10, [(1, 2)]) + assert (r.plan.design_demand, r.plan.planned_bandwidth_per_tunnel) == (12, 5) + r = demand(g, t2(), LY, design_demand=4) + assert (r.call_delivered, r.plan.planned_bandwidth_per_tunnel) == (4, 2) + assert [list(t.edges) for t in r.program.tunnels] == [[0], [0]] + with pytest.raises( + ValueError, + match=exact("CentralizedTE LOSSY evaluation requires a finite offer"), + ): + demand(g, t2(), LY) + + +def test_offer_pinned(): + # Pinned over one tunnel per link: the bound 8 (equal split, link 0 holds 4), an offer 5 in + # full, Lossy 12 delivers 10. + g = par(4, 10) + pin = two_paths(g) + assert demand(g, pin).call_delivered == 8 + assert demand(g, pin, offer=5).call_delivered == 5 + assert demand(g, pin, LY, offer=12).call_delivered == 10 + with pytest.raises( + ValueError, match=exact("Pinned LOSSY evaluation requires a finite offer") + ): + demand(g, pin, LY) + + +# -- the three evaluators (E8 to E12) ------------------------------------------------------- + + +def test_failures_fixed_offer(): + # EVAL-fixed-offer and EVAL-first-hop on PAR(10, 10); then PAR(4, 10) ECMP Lossy at the + # offers 4 and 12 (every deletion answers the same offer) and without one (the first-hop + # experiment injects each remaining link's capacity, a different question). + for workers in (1, 2): + assert failures(par(10, 10), ngc.ShortestPaths(), LY, workers, offer=4) == ( + 4, + [0, 0], + ) + assert failures(par(10, 10), ngc.ShortestPaths(), LY, workers) == (20, [10, 10]) + g = par(4, 10) + assert failures(g, ngc.ShortestPaths(), LY, workers, offer=4) == (4, [0, 0]) + assert failures(g, ngc.ShortestPaths(), LY, workers, offer=12) == (10, [0, 6]) + assert failures(g, ngc.ShortestPaths(), LY, workers) == (14, [4, 10]) + + +def test_failures_distributed_offer(): + # T1, design 8, Lossy 12: the baseline 10; deleting link 0 sets both tunnels up on link 1 + # (10, reduction 0); deleting link 1 leaves one tunnel on link 0 carrying 4 (reduction 6). + g = par(4, 10) + assert failures(g, dte(), LY, design_demand=8, offer=12) == (10, [0, 6]) + + +def test_pairs_offer(): + # The offer is the offer of every pair; nothing is shared between pairs. + g = par(4, 10) + rs = ngc.evaluate_pairs(g, [(0, 1), (0, 1)], opts(ngc.ShortestPaths(), offer=5)) + assert [r.call_delivered for r in rs] == [5, 5] + + +def test_offer_zero_and_masked(): + # Both links masked: Lossy's offer 4 is the demand's source drops (its row zero), Lossless + # leaves it undelivered; NO_ROUTE both. A zero offer is COMPLETE for every model, T1's plan + # still set up (both tunnels up, 8 reserved). + g = par(4, 10) + mask = g.eligibility(excluded_edges=[0, 1]) + r = demand(g, ngc.ShortestPaths(), LY, eligibility=mask, offer=4) + assert (r.termination, r.call_delivered, r.call_source_drops) == (T.NO_ROUTE, 0, 4) + assert [(s.offered, s.source_drops) for s in r.by_source] == [(0, 0)] + r = demand(g, ngc.ShortestPaths(), eligibility=mask, offer=4) + assert (r.termination, r.call_delivered, r.call_undelivered) == (T.NO_ROUTE, 0, 4) + pin = two_paths(g) + for model, admission, kw in ( + (ngc.ShortestPaths(), LL, {}), + (ngc.ShortestPaths(), LY, {}), + (ngc.ShortestPaths(allocation=A.OPTIMIZED), LL, {}), + (ngc.CentralizedTE(source_allocation=S.OPTIMIZED), LL, {}), + (dte(), LL, {"design_demand": 8}), + (dte(), LY, {"design_demand": 8}), + (t2(), LL, {}), + (t2(), LY, {}), + (pin, LL, {}), + (pin, LY, {}), + ): + r = demand(g, model, admission, offer=0, **kw) + assert (r.termination, r.call_delivered) == (T.COMPLETE, 0), model + r = demand(g, dte(), LY, design_demand=8, offer=0) + assert r.plan.total_reserved_bandwidth == 8 + assert [t.status for t in r.program.tunnels] == [ngc.TunnelStatus.UP] * 2 + + +def test_offer_limits(): + # One link of 2^62 - 1: every model delivers the largest offer (T1 with that design); 2^62 is + # refused; deleting the link takes it all. + big = L62 - 1 + g = build(2, [(0, 1, big, 1)]) + route = [ngc.RouteDefinition(0, ngc.Path(g, [[0]]))] + pin = ngc.Pinned(ngc.ForwardingProgram.from_routes(g, 0, 1, route)) + for model, admission, kw in ( + (ngc.ShortestPaths(), LL, {}), + (ngc.ShortestPaths(), LY, {}), + (ngc.ShortestPaths(allocation=A.OPTIMIZED), LL, {}), + (ngc.CentralizedTE(source_allocation=S.OPTIMIZED), LL, {}), + (dte(1), LL, {"design_demand": big}), + (dte(1), LY, {"design_demand": big}), + (t2(1), LL, {}), + (t2(1), LY, {}), + (pin, LL, {}), + (pin, LY, {}), + ): + assert demand(g, model, admission, offer=big, **kw).call_delivered == big, model + with pytest.raises(ValueError, match=exact(DOMAIN)): + demand(g, ngc.ShortestPaths(), offer=L62) + assert failures(g, ngc.ShortestPaths(), offer=big) == (big, [big]) + + +# -- the order of the checks (V9 to V11) ----------------------------------------------------- + + +def outcome(model, kwargs, admission="LOSSLESS", offer=None, design_demand=None): + """One EVAL case on the library: the first error, or the offer and design it evaluates.""" + g = build(3, [(0, 1, 5, 1), (0, 2, 5, 1), (1, 2, 5, 1)]) + if model == "Pinned": + route = [ngc.RouteDefinition(0, ngc.Path(g, [[1]]))] + routing = ngc.Pinned(ngc.ForwardingProgram.from_routes(g, 0, 2, route)) + else: + fields = dict(kwargs) + if "source_allocation" in fields: + fields["source_allocation"] = getattr(S, fields["source_allocation"]) + if "tunnel_count" in fields: + fields["tunnel_count"] = ngc.TunnelCount(int(fields["tunnel_count"])) + if model == "DistributedTE": + routing = ngc.DistributedTE(fields.pop("tunnel_count"), **fields) + else: + routing = getattr(ngc, model)(**fields) + try: + options = ngc.EvaluationOptions( + ngc.FlowPolicyConfig( + routing=routing, admission=getattr(ngc.Admission, admission) + ), + offer=offer, + design_demand=design_demand, + ) + except TypeError: + return "TypeError" + try: + r = ngc.evaluate_demand(g, 0, 2, options) + except ValueError as e: + return str(e) + if r.requested == INF and r.by_source[0].offered is not None: + evaluated = "first-hop experiment" + else: + evaluated = r.requested + design = None if r.plan is None else r.plan.design_demand + return f"offer={evaluated} design_demand={design}" + + +def test_first_error(): + # EVAL-first-error: the configuration, an explicit offer, the design, T1's missing design, + # the missing Lossy offer. + cases = [ + dict( + model="CentralizedTE", + kwargs={"source_allocation": "EQUAL", "prefer_headroom": True}, + offer=-1, + ), + dict( + model="DistributedTE", + kwargs={"tunnel_count": "4"}, + admission="LOSSY", + offer=-1, + design_demand=INF, + ), + dict( + model="DistributedTE", + kwargs={"tunnel_count": "4"}, + admission="LOSSY", + offer=5, + design_demand=INF, + ), + dict(model="DistributedTE", kwargs={"tunnel_count": "4"}, admission="LOSSY"), + dict( + model="DistributedTE", + kwargs={"tunnel_count": "4"}, + admission="LOSSY", + design_demand=10, + ), + dict(model="ShortestPaths", kwargs={}, offer=INF, design_demand=5), + dict(model="ShortestPaths", kwargs={}, design_demand=5), + dict( + model="CentralizedTE", + kwargs={"source_allocation": "EQUAL", "tunnel_count": "16"}, + admission="LOSSY", + ), + dict( + model="CentralizedTE", + kwargs={"source_allocation": "EQUAL", "tunnel_count": "16"}, + admission="LOSSY", + design_demand=10, + ), + dict(model="Pinned", kwargs={}, admission="LOSSY"), + dict(model="ShortestPaths", kwargs={}, admission="LOSSY"), + dict(model="ShortestPaths", kwargs={}, admission="LOSSY", offer=4), + ] + assert [outcome(**c) for c in cases] == [ + "prefer_headroom requires tunnel_count", + DOMAIN, + "DistributedTE requires a finite design demand", + "DistributedTE evaluation requires design_demand", + "DistributedTE LOSSY evaluation requires a finite offer", + DOMAIN, + "ShortestPaths does not accept design_demand", + "CentralizedTE LOSSY evaluation requires a finite offer", + "offer=10 design_demand=10", + "Pinned LOSSY evaluation requires a finite offer", + "offer=first-hop experiment design_demand=None", + "offer=4 design_demand=None", + ] + + +def test_offer_infinite(): + # EVAL-offer-infinite: +inf constructs and is refused by the evaluator after the + # configuration; a string is a construction TypeError. + headroom = {"source_allocation": "EQUAL", "prefer_headroom": True} + assert [ + outcome("CentralizedTE", headroom, offer=INF), + outcome("CentralizedTE", headroom, offer="4"), + outcome("ShortestPaths", {}, offer=INF), + ] == ["prefer_headroom requires tunnel_count", "TypeError", DOMAIN] + + +def test_design_model_before_range(): + # A model without a design refuses one before its range is read. + assert ( + outcome("ShortestPaths", {}, design_demand=-1) + == "ShortestPaths does not accept design_demand" + ) + assert ( + outcome("DistributedTE", {"tunnel_count": "4"}, design_demand=-1) + == "design_demand must be an integer in [0, 2^62) or permitted +inf" + ) + + +def test_pairs_order(): + # Pinned first (its offer is never read); the offer before per_pair_eligibility's length; + # then each pair in order. + g = par(4, 10) + with pytest.raises( + ValueError, match=exact("evaluate_pairs does not accept Pinned") + ): + ngc.evaluate_pairs(g, [(0, 1)], opts(two_paths(g), LY, offer=-1)) + with pytest.raises(ValueError, match=exact(DOMAIN)): + ngc.evaluate_pairs( + g, [(0, 1)], opts(ngc.ShortestPaths(), offer=-1), per_pair_eligibility=[] + ) + with pytest.raises( + ValueError, + match=exact( + "node 1 is in both endpoint sets: sources and destinations must not overlap" + ), + ): + ngc.evaluate_pairs(g, [(0, 1), (1, 1)], opts(ngc.ShortestPaths(), offer=4)) + + +# -- every model at finite offers: the failure study against its definition ----------------- + + +def _models(g): + # Every model the evaluators take, with its admission and design (T1 always names one). + route = ngc.Path(g, [[0], [2]]) + pin = ngc.Pinned( + ngc.ForwardingProgram.from_routes( + g, + 0, + 3, + [ + ngc.RouteDefinition(0, route), + ngc.RouteDefinition(0, ngc.Path(g, [[1], [3]])), + ], + ) + ) + return [ + ("ECMP", ngc.ShortestPaths(), (LL, LY), {}), + ("WCMP", ngc.ShortestPaths(allocation=A.WEIGHTED), (LL, LY), {}), + ("SP OPTIMIZED", ngc.ShortestPaths(allocation=A.OPTIMIZED), (LL,), {}), + ("CTE OPTIMIZED", ngc.CentralizedTE(source_allocation=S.OPTIMIZED), (LL,), {}), + ("CTE EQUAL", ngc.CentralizedTE(source_allocation=S.EQUAL), (LL,), {}), + ( + "CTE support", + ngc.CentralizedTE(source_allocation=S.OPTIMIZED, support=route.to_dag()), + (LL,), + {}, + ), + ("T1", dte(2), (LL, LY), {"design_demand": 8}), + ("T2", t2(2), (LL, LY), {}), + ("Pinned", pin, (LL, LY), {}), + ] + + +def test_failures_on_random_graphs_at_an_offer(): + # 300 random graphs (4 to 7 nodes, 6 to 15 edges, capacities 0..8, costs 1..3, one or two + # sources, a random offer 0..14), eight configurations each: every deletion's reduction is the + # baseline minus evaluate_demand with that edge excluded too (an edge left out of the + # candidates: 0), on 1 worker for even trials and 2 for odd ones. Optimized CentralizedTE + # repairs its baseline when the offer exceeds the maximum and solves afresh when the offer + # binds below it: both happen here. + rng = np.random.default_rng(7) + repaired = fresh = rows = 0 + for trial in range(300): + n = int(rng.integers(4, 8)) + m = int(rng.integers(6, 16)) + es, ed = [], [] + while len(es) < m: + u, v = int(rng.integers(0, n)), int(rng.integers(0, n)) + if u != v: + es.append(u) + ed.append(v) + cap = [int(x) for x in rng.integers(0, 9, m)] + cost = [int(x) for x in rng.integers(1, 4, m)] + g = ngc.Graph(n, es, ed, cap, cost, 1.0) + nodes = [int(x) for x in rng.permutation(n)] + src = sorted(nodes[: int(rng.integers(1, 3))]) + dst = [nodes[-1]] + offer = int(rng.integers(0, 15)) + workers = 1 + trial % 2 + configs = [ + (ngc.CentralizedTE(source_allocation=S.OPTIMIZED), LL, {"offer": offer}), + (ngc.CentralizedTE(source_allocation=S.EQUAL), LL, {"offer": offer}), + (ngc.ShortestPaths(allocation=A.OPTIMIZED), LL, {"offer": offer}), + (ngc.ShortestPaths(), LY, {"offer": offer}), + (ngc.ShortestPaths(), LL, {"offer": offer}), + (dte(2), LY, {"offer": offer, "design_demand": offer}), + (t2(2), LY, {"offer": offer}), + (ngc.CentralizedTE(source_allocation=S.OPTIMIZED), LL, {}), + ] + for k, (model, admission, kw) in enumerate(configs): + o = opts(model, admission, **kw) + s = ngc.evaluate_edge_failures(g, src, dst, o, workers) + base = ngc.evaluate_demand(g, src, dst, o).call_delivered + assert s.baseline.call_delivered == base, (trial, k) + if k == 0 and any(x.delivery_reduction for x in s.entries): + top = ngc.evaluate_demand(g, src, dst, opts(model, LL)).call_delivered + repaired += base < offer + fresh += base == offer < top + got = {x.edge: x.delivery_reduction for x in s.entries} + for e in range(g.num_edges()): + deleted = opts( + model, + admission, + eligibility=g.eligibility(excluded_edges=[e]), + **kw, + ) + want = base - ngc.evaluate_demand(g, src, dst, deleted).call_delivered + assert got.get(e, 0) == want, (trial, k, e, workers) + rows += 1 + assert repaired >= 10 and fresh >= 10, (repaired, fresh) + assert rows > 20000 + + +def test_failures_at_every_offer(): + # A diamond 0 -> {1, 2} -> 3, capacities 4, 6, 3, 9 and costs 1, 1, 2, 1: the maximum is 9. + # For every model, admission and offer (below, at and above its maximum, and none where a + # model takes none), evaluate_edge_failures gives the baseline of evaluate_demand and, per + # allowed edge, the baseline minus evaluate_demand with that edge excluded too (an edge left + # out of the candidates must have reduction 0); evaluate_pairs agrees with evaluate_demand. + g = build(4, [(0, 1, 4, 1), (0, 2, 6, 1), (1, 3, 3, 2), (2, 3, 9, 1)]) + checked = 0 + for name, model, admissions, extra in _models(g): + for admission in admissions: + top = ngc.evaluate_demand( + g, + 0, + 3, + opts(model, LL, **extra) + if LL in admissions + else opts(model, admission, offer=L62 - 1, **extra), + ).call_delivered + offers = [1, top, top + 5] + ([None] if admission == LL else []) + for offer in offers: + o = opts(model, admission, offer=offer, **extra) + base = ngc.evaluate_demand(g, 0, 3, o).call_delivered + for workers in (1, 2): + s = ngc.evaluate_edge_failures(g, 0, 3, o, workers) + assert s.baseline.call_delivered == base, (name, admission, offer) + got = {x.edge: x.delivery_reduction for x in s.entries} + for e in range(g.num_edges()): + deleted = ngc.evaluate_demand( + g, + 0, + 3, + opts( + model, + admission, + offer=offer, + eligibility=g.eligibility(excluded_edges=[e]), + **extra, + ), + ).call_delivered + assert got.get(e, 0) == base - deleted, ( + name, + admission, + offer, + workers, + e, + ) + checked += 1 + if not isinstance(model, ngc.Pinned): + (pair,) = ngc.evaluate_pairs(g, [(0, 3)], o, workers=2) + assert pair.call_delivered == base, (name, admission, offer) + assert checked > 100 diff --git a/tests/py/test_flow_ledger.py b/tests/py/test_flow_ledger.py index 36af2ff..a7a600d 100644 --- a/tests/py/test_flow_ledger.py +++ b/tests/py/test_flow_ledger.py @@ -1,6 +1,6 @@ """The integer ledger FlowLedger through the bindings (docs/semantics.md#6-the-ledger): baselines on unnarrowed values, snapshots and records, FlowIds, bottleneck, and the lifetime -table driven by manual placements on one fixed route (a manual flow: Global with the route as its +table driven by manual placements on one fixed route (a manual flow: CentralizedTE with the route as its support, or Pinned over a program of the one split route), whose PlacementResult the tests read.""" from __future__ import annotations @@ -16,7 +16,6 @@ GLOBAL, INF, L62, - RES, build, dag_of, exact, @@ -30,26 +29,30 @@ T = ngc.Termination -def pinned(fg, src, dst, edges, placement, admission=None, priority=None): - """A manual flow on the edges' DAG: MAX_FLOW is Global with that DAG as its support (a - controller restricted to it); EQUAL_BALANCED and WEIGHTED are Pinned over a program of the one +def pinned(fg, src, dst, edges, placement, admission=None): + """A manual flow on the edges' DAG: OPTIMIZED is CentralizedTE with that DAG as its support (a + controller restricted to it); EQUAL and WEIGHTED are Pinned over a program of the one split route (WEIGHTED's weights: the ledger's residual now, frozen, as the old flow read them - at its creation, unless the priority is CAPACITY).""" + at its creation).""" g = fg.graph() admission = admission or ngc.Admission.LOSSLESS - if placement == ngc.FlowPlacement.MAX_FLOW: + if placement == ngc.RouteAllocation.OPTIMIZED: cfg = ngc.FlowPolicyConfig( - routing=ngc.Global(support=dag_of(g, edges)), admission=admission + routing=ngc.CentralizedTE( + source_allocation=ngc.SourceAllocation.OPTIMIZED, + support=dag_of(g, edges), + ), + admission=admission, ) return ngc.FlowPolicy(fg, src, dst, cfg) - snapshot = placement == ngc.FlowPlacement.WEIGHTED and (priority or RES) == RES + snapshot = placement == ngc.RouteAllocation.WEIGHTED program = ngc.ForwardingProgram.from_routes( g, src, dst, - [ngc.Route(src, dag_of(g, edges))], - placement=placement, - weights=ngc.WeightBasis.RESIDUAL_SNAPSHOT if snapshot else None, + [ngc.RouteDefinition(src, dag_of(g, edges))], + allocation=placement, + weight_basis=ngc.WeightBasis.RESIDUAL_SNAPSHOT if snapshot else None, residual=fg.residual() if snapshot else None, ) cfg = ngc.FlowPolicyConfig(routing=ngc.Pinned(program), admission=admission) @@ -61,9 +64,9 @@ def flow_id(policy): return recs[0].flow_id if recs else None -EB = ngc.FlowPlacement.EQUAL_BALANCED -MF = ngc.FlowPlacement.MAX_FLOW -W = ngc.FlowPlacement.WEIGHTED +EB = ngc.RouteAllocation.EQUAL +MF = ngc.RouteAllocation.OPTIMIZED +W = ngc.RouteAllocation.WEIGHTED LOSSY = ngc.Admission.LOSSY @@ -72,52 +75,55 @@ def test_baseline_validation_order_and_snapshots(): fg = ngc.FlowLedger(g) assert list(fg.residual()) == [5, 3] assert fg.residual().dtype == np.int64 - assert list(fg.allocated()) == [0, 0] - assert list(fg.capacity_units()) == [5, 3] + assert list(fg.carried()) == [0, 0] + assert list(fg.edge_capacity_units()) == [5, 3] assert fg.records() == [] assert fg.graph() is g for bad, msg in ( - ([6, 0], r"residual\[0\] = 6 is outside \[0, capacity_units\[0\] = 5\]"), - ([1], "residual has length 1, expected 2"), - ([-1, 0], r"residual\[0\] = -1"), - ([L62 * 4, 0], r"residual\[0\] = 18446744073709551616"), + ( + [6, 0], + r"service_baseline\[0\] = 6 is outside \[0, edge_capacity_units\[0\] = 5\]", + ), + ([1], "service_baseline has length 1, expected 2"), + ([-1, 0], r"service_baseline\[0\] = -1"), + ([L62 * 4, 0], r"service_baseline\[0\] = 18446744073709551616"), ([2.5, 0], "integer"), ([True, 0], "integer"), (np.zeros((1, 2), dtype=np.int64), "1-D"), ): with pytest.raises(ValueError, match=msg): ngc.FlowLedger(g, bad) - fg2 = ngc.FlowLedger(graph=g, residual=np.array([1, 2], dtype=np.uint64)) + fg2 = ngc.FlowLedger(graph=g, service_baseline=np.array([1, 2], dtype=np.uint64)) assert list(fg2.residual()) == [1, 2] assert fg2.uid() != fg.uid() - # residual() and allocated() are copies: writing one changes neither the ledger nor the next - # snapshot. capacity_units() is a read-only view of the graph's own capacities. - for snapshot in (fg.residual, fg.allocated): + # residual() and carried() are copies: writing one changes neither the ledger nor the next + # snapshot. edge_capacity_units() is a read-only view of the graph's own capacities. + for snapshot in (fg.residual, fg.carried): a = snapshot() assert a.dtype == np.int64 before = a.tolist() a[0] = 7 assert snapshot().tolist() == before - assert list(fg.residual()) == [5, 3] and list(fg.allocated()) == [0, 0] - view = fg.capacity_units() + assert list(fg.residual()) == [5, 3] and list(fg.carried()) == [0, 0] + view = fg.edge_capacity_units() assert view.dtype == np.int64 and not view.flags.writeable - assert np.shares_memory(view, g.capacity_units()) + assert np.shares_memory(view, g.edge_capacity_units()) def test_the_ledger_has_no_public_placement_or_removal(): # Only policies place or remove flows: the public members are the readers, reset and copy. public = {n for n in dir(ngc.FlowLedger) if not n.startswith("_")} assert public == { - "allocated", - "bottleneck", - "capacity_units", + "carried", "copy", + "edge_capacity_units", "graph", "record", "records", "reserved", "reset", "residual", + "saturated_boundary_edges", "uid", "unreserved", } @@ -128,13 +134,13 @@ def test_lifetime_bound_rows_and_epochs(): fg = ngc.FlowLedger(g) p = pinned(fg, 0, 1, [0], EB) r = p.place(0) - assert (r.placed, r.remaining, r.termination, r.delivery_delta) == ( + assert (r.call_delivered, r.call_undelivered, r.termination, r.delivery_delta) == ( 0, 0, T.COMPLETE, 0, ) - assert (r.routes_changed, r.weights_changed, r.call_drops, fg.records()) == ( + assert (r.routes_changed, r.weights_changed, r.call_edge_drops, fg.records()) == ( False, False, [], @@ -151,21 +157,21 @@ def test_lifetime_bound_rows_and_epochs(): with pytest.raises(ValueError, match="bound"): copy.deepcopy(fg) r = p.place(2) - assert (r.placed, r.termination, r.routes_changed, flow_id(p)[1]) == ( + assert (r.call_delivered, r.termination, r.routes_changed, flow_id(p)[1]) == ( 2, T.COMPLETE, True, 0, ) r = p.place(INF) - assert (r.placed, r.termination, r.remaining, r.requested) == ( + assert (r.call_delivered, r.termination, r.call_undelivered, r.requested) == ( 3, T.EXHAUSTED, INF, INF, ) assert (r.admitted, r.delivered, r.unadmitted) == (5, 5, None) - assert (r.routes_changed, r.weights_changed, r.cost_distribution) == ( + assert (r.routes_changed, r.weights_changed, r.marginal_cost_curve) == ( False, False, None, @@ -180,11 +186,11 @@ def test_lifetime_bound_rows_and_epochs(): p.place(finite) old = flow_id(p) p.remove() - assert list(fg.allocated()) == [0] + assert list(fg.carried()) == [0] with pytest.raises(ValueError, match="retired or unknown"): fg.record(old) r = p.place(1) - assert (r.placed, r.routes_changed, flow_id(p)[1]) == (1, True, 1) + assert (r.call_delivered, r.routes_changed, flow_id(p)[1]) == (1, True, 1) p.remove() p.remove() assert p.records() == [] @@ -204,7 +210,7 @@ def test_orphans_from_destruction_reset_and_copy(): assert fg._state()["orphans"] == [0] assert fg.records()[0].delivered == 2 p = pinned(fg, 0, 1, [0], EB) - assert p.place(5).placed == 3 + assert p.place(5).call_delivered == 3 with pytest.raises(ValueError, match="bound"): fg.copy() del p @@ -212,9 +218,9 @@ def test_orphans_from_destruction_reset_and_copy(): c = fg.copy() assert c.uid() != fg.uid() assert [r.flow_id for r in c.records()] == [(c.uid(), 0), (c.uid(), 1)] - assert list(c.allocated()) == [5] + assert list(c.carried()) == [5] d = copy.deepcopy(fg) - assert list(d.allocated()) == [5] + assert list(d.carried()) == [5] fg.reset([4]) assert (fg.records(), list(fg.residual())) == ([], [4]) if HOOKS: @@ -230,8 +236,8 @@ def test_policy_keeps_the_ledger_alive(): p = pinned(fg, 0, 1, [0], MF) del fg gc.collect() - assert p.place(2).placed == 2 - assert p.placed_demand() == 2 + assert p.place(2).call_delivered == 2 + assert p.delivered() == 2 def test_records_fields_and_counters_beyond_64_bits(): @@ -239,7 +245,7 @@ def test_records_fields_and_counters_beyond_64_bits(): fg = ngc.FlowLedger(g) p = pinned(fg, 0, 3, range(4), EB, LOSSY) r = p.place(10) - assert (r.placed, r.remaining, r.termination, r.drops) == ( + assert (r.call_delivered, r.call_undelivered, r.termination, r.edge_drops) == ( 6, 4, T.COMPLETE, @@ -247,14 +253,14 @@ def test_records_fields_and_counters_beyond_64_bits(): ) rec = fg.records()[0] assert rec.flow_id == (fg.uid(), 0) - assert (rec.owner, rec.sources, rec.destinations) == (0, [0], [3]) - # The bundle is the ledger's own PredDAG, shared by every snapshot (not a copy). - assert rec.bundle is fg.records()[0].bundle is fg.record(rec.flow_id).bundle + assert (rec.policy_id, rec.sources, rec.destinations) == (0, [0], [3]) + # The route is the ledger's own PredecessorDAG, shared by every snapshot (not a copy). + assert rec.route is fg.records()[0].route is fg.record(rec.flow_id).route assert rec.admission == LOSSY - assert list(rec.bundle.via_edges()) == [0, 1, 2, 3] - assert (rec.route_cost, rec.offered, rec.delivered) == (2, 10, 6) - assert rec.edges == [(0, 5), (1, 5), (2, 1), (3, 5)] - assert rec.drops == [(2, 4)] + assert list(rec.route.via_edges()) == [0, 1, 2, 3] + assert (rec.min_route_cost, rec.offered, rec.delivered) == (2, 10, 6) + assert rec.edge_flows == [(0, 5), (1, 5), (2, 1), (3, 5)] + assert rec.edge_drops == [(2, 4)] assert fg.record(rec.flow_id).delivered == 6 # Records are snapshots: a later call changes the ledger's record, not one read before it. held = fg.record(rec.flow_id) @@ -265,23 +271,31 @@ def test_records_fields_and_counters_beyond_64_bits(): fg2 = ngc.FlowLedger(g2) pinned(fg2, 0, 1, [0], MF).place(1) assert fg2.records()[0].offered is None - # An empty bundle: route_cost None. Global routing keeps a record per source; one unit from + # An empty route: min_route_cost None. CentralizedTE routing keeps a record per source; one unit from # sources 0 and 1 takes the cheaper edge 0 -> 2, so source 1 has no share. g3 = build(3, [(0, 2, 1, 1), (1, 2, 1, 5)]) fg3 = ngc.FlowLedger(g3) - assert ngc.FlowPolicy(fg3, [0, 1], 2, GLOBAL).place(1).placed == 1 + assert ngc.FlowPolicy(fg3, [0, 1], 2, GLOBAL).place(1).call_delivered == 1 rec_used, rec_idle = fg3.records() - assert (rec_used.sources, rec_used.route_cost, rec_used.delivered) == ([0], 1, 1) - assert (rec_idle.sources, rec_idle.route_cost, rec_idle.delivered) == ([1], None, 0) - assert rec_idle.edges == [] - assert list(rec_idle.bundle.via_edges()) == [] + assert (rec_used.sources, rec_used.min_route_cost, rec_used.delivered) == ( + [0], + 1, + 1, + ) + assert (rec_idle.sources, rec_idle.min_route_cost, rec_idle.delivered) == ( + [1], + None, + 0, + ) + assert rec_idle.edge_flows == [] + assert list(rec_idle.route.via_edges()) == [] # Every unit dropped on a saturated link, nine times: the counters pass 2^64. sat = pinned(fg2, 0, 1, [0], EB, LOSSY) for _ in range(9): sat.place(L62 - 1) lossy = fg2.records()[1] assert lossy.offered == 9 * (L62 - 1) - assert lossy.drops == [(0, 9 * (L62 - 1))] + assert lossy.edge_drops == [(0, 9 * (L62 - 1))] if HOOKS: assert sat._state()["requested"] == 9 * (L62 - 1) assert lossy.offered > 1 << 64 @@ -289,7 +303,7 @@ def test_records_fields_and_counters_beyond_64_bits(): def test_record_endpoint_sets_are_ascending(): # A destination set given out of order and with a repeat: every record lists it ascending, - # once; a record per source under Global, each with its one source. + # once; a record per source under CentralizedTE, each with its one source. g = build(4, [(0, 2, 5, 1), (0, 3, 5, 1), (1, 2, 5, 1), (1, 3, 5, 1)]) fg = ngc.FlowLedger(g) ngc.FlowPolicy(fg, 0, [3, 2, 3], COSTONLY).place(2) @@ -303,21 +317,21 @@ def test_record_endpoint_sets_are_ascending(): def test_empty_split_graph_keeps_the_route_cost(): # Weighted with a residual snapshot of 0 on every route edge under another owner's flow: # the record exists at zero delivery with an empty split graph (no positive weight: - # NO_ACTIVE_WEIGHT); route_cost is the route's minimum walk cost, not a split-graph value. + # NO_ACTIVE_WEIGHT); min_route_cost is the route's minimum walk cost, not a split-graph value. # The first preparation installs the program: routes and weights changed. g = build(2, [(0, 1, 2, 3)]) fg = ngc.FlowLedger(g) pinned(fg, 0, 1, [0], MF).place(2) w = pinned(fg, 0, 1, [0], W) r = w.place(1) - assert (r.placed, r.termination, r.routes_changed, r.weights_changed) == ( + assert (r.call_delivered, r.termination, r.routes_changed, r.weights_changed) == ( 0, T.NO_ACTIVE_WEIGHT, True, True, ) rec = fg.record(flow_id(w)) - assert (rec.route_cost, rec.delivered, rec.edges) == (3, 0, []) + assert (rec.min_route_cost, rec.delivered, rec.edge_flows) == (3, 0, []) if HOOKS: # The flow's route is the split route before weight pruning (its replay basis). flows = next(iter(w._state()["cohorts"].values())) @@ -370,11 +384,11 @@ def test_a_flow_id_read_passes_an_allocation_failure_through(): assert failures > 0 -@pytest.mark.parametrize("routing", ["Pinned", "CostOnly", "Global"]) +@pytest.mark.parametrize("routing", ["Pinned", "ShortestPaths", "CentralizedTE"]) def test_rejected_requests_leave_the_policy_and_the_ledger(routing): """Every rejected request (a value that is not an integer unit or +inf, outside [0, 2^62), or finite after +inf), on a fresh policy, after a finite call and after +inf, leaves the - ledger and the policy as they were: the records, allocations and placed demand always, and + ledger and the policy as they were: the records, allocations and delivered amount always, and with the private hooks the epoch state itself (the requested total, the +inf flag and the flows). A NumPy integer is an integer unit.""" g = build(4, [(0, 1, 5, 1), (1, 3, 5, 1), (0, 2, 3, 2), (2, 3, 3, 2)]) @@ -382,11 +396,11 @@ def test_rejected_requests_leave_the_policy_and_the_ledger(routing): if routing == "Pinned": p = pinned(fg, 0, 3, [0, 2], EB) # EdgeIds of 0 -> 1 -> 3 else: - p = ngc.FlowPolicy(fg, 0, 3, GLOBAL if routing == "Global" else COSTONLY) + p = ngc.FlowPolicy(fg, 0, 3, GLOBAL if routing == "CentralizedTE" else COSTONLY) def state(): own = p._state() if HOOKS else None - return ledger_state(fg), p.placed_demand(), own + return ledger_state(fg), p.delivered(), own def rejected(requests): before = state() @@ -396,7 +410,7 @@ def rejected(requests): assert state() == before return before - # One text for every offer outside the domain (contract 14.4). + # One text for every offer outside the domain. offer = "offer must be an integer in [0, 2^62) or permitted +inf" bad = [ (value, offer) @@ -404,7 +418,7 @@ def rejected(requests): ] rejected(bad) assert fg.records() == [] - assert p.place(np.int64(4)).placed == 4 + assert p.place(np.int64(4)).call_delivered == 4 rejected(bad) p.place(INF) after_inf = "finite placement after infinite placement requires a new epoch" @@ -418,19 +432,23 @@ def test_ledger_bottleneck_with_eligibility_and_errors(): fg = ngc.FlowLedger(g) p = pinned(fg, 0, 3, range(4), MF) r = p.place(INF) - assert (r.placed, r.termination) == (2, T.EXHAUSTED) - assert fg.bottleneck(0) == ids(g, [0, 3]) - assert fg.bottleneck([0, 0]) == ids(g, [0, 3]) - assert fg.bottleneck([0], g.eligibility(excluded_nodes=[0])) == [] + assert (r.call_delivered, r.termination) == (2, T.EXHAUSTED) + assert fg.saturated_boundary_edges(0) == ids(g, [0, 3]) + assert fg.saturated_boundary_edges([0, 0]) == ids(g, [0, 3]) + assert fg.saturated_boundary_edges([0], g.eligibility(excluded_nodes=[0])) == [] # An excluded edge is neither crossed nor listed: without 0 -> 2 (the one edge with residual) # the sources reach only {0}; of its leaving edges 0 -> 1 is listed and 0 -> 2 is not. - assert fg.bottleneck([0], g.eligibility(excluded_edges=ids(g, [1]))) == ids(g, [0]) + assert fg.saturated_boundary_edges( + [0], g.eligibility(excluded_edges=ids(g, [1])) + ) == ids(g, [0]) with pytest.raises(ValueError, match="empty"): - fg.bottleneck([]) + fg.saturated_boundary_edges([]) with pytest.raises(ValueError, match="out of node range"): - fg.bottleneck([L62 * 8]) + fg.saturated_boundary_edges([L62 * 8]) with pytest.raises(ValueError, match="foreign"): - fg.bottleneck([0], build(4, [(0, 1, 1, 1)]).eligibility(excluded_edges=[0])) + fg.saturated_boundary_edges( + [0], build(4, [(0, 1, 1, 1)]).eligibility(excluded_edges=[0]) + ) def test_manual_flow_construction_errors(): @@ -442,16 +460,24 @@ def test_manual_flow_construction_errors(): pinned(fg, 0, 2, [0, 1], EB) # As a support, a route without a walk leaves the roster empty. assert pinned(fg, 0, 2, [0, 1], MF).place(1).termination == T.NO_ROUTE - with pytest.raises(ValueError, match=exact("MAX_FLOW requires admission=LOSSLESS")): + with pytest.raises( + ValueError, + match=exact("CentralizedTE without tunnel_count requires admission=LOSSLESS"), + ): pinned(fg, 0, 1, [0], MF, LOSSY) with pytest.raises(ValueError, match="both endpoint sets"): pinned(fg, 1, 1, [0], MF) other = build(3, [(0, 1, 5, 1), (2, 1, 5, 1)]) - foreign = ngc.FlowPolicyConfig(routing=ngc.Global(support=dag_of(other, [0]))) + foreign = ngc.FlowPolicyConfig( + routing=ngc.CentralizedTE( + source_allocation=ngc.SourceAllocation.OPTIMIZED, + support=dag_of(other, [0]), + ) + ) with pytest.raises(ValueError, match=exact("support belongs to another graph")): ngc.FlowPolicy(fg, 0, 1, foreign) foreign_route = ngc.ForwardingProgram.from_routes( - other, 0, 1, [ngc.Route(0, dag_of(other, [0]))] + other, 0, 1, [ngc.RouteDefinition(0, dag_of(other, [0]))] ) with pytest.raises(ValueError, match=exact("program belongs to another graph")): ngc.FlowPolicy( diff --git a/tests/py/test_flow_policy.py b/tests/py/test_flow_policy.py index 4c49d26..1ca4f31 100644 --- a/tests/py/test_flow_policy.py +++ b/tests/py/test_flow_policy.py @@ -1,4 +1,4 @@ -"""The policy engine, the DagCache and the evaluators through the bindings (docs/semantics.md): +"""The policy engine, the ShortestPathCache and the evaluators through the bindings (docs/semantics.md): configuration objects and their structural validation, PlacementResult fields and outputs, lifetimes, the evaluators with workers, and the cache statistics. The fixtures of the reference (``tests/reference/policy/``) replay in ``test_flow_policy_fixtures.py``.""" @@ -6,20 +6,18 @@ from __future__ import annotations import gc -import math -import sys import weakref import numpy as np import pytest from helpers import ( ALL_OUT, - CAP, COSTONLY, GLOBAL, + HIGHER_AVAIL, INF, L62, - RES, + assert_read_only, build, config, dag_of, @@ -27,7 +25,6 @@ full_ledger_state, ids, plain, - sel, sweep_python_allocation, t1_config, to_ids, @@ -46,69 +43,82 @@ def diamond(a=5, b=3, c=1): def test_configurations_are_structural_and_explicit(): with pytest.raises(TypeError): - ngc.FlowPolicyConfig( - ngc.CostOnly(), ngc.FlowPlacement.MAX_FLOW, ngc.Admission.LOSSLESS, sel() - ) - # Keyword-only; every field but the routing has a default: placement, selection and origin - # None, admission LOSSLESS (contract 3.1). A wrong class is TypeError. - plain = ngc.FlowPolicyConfig(routing=ngc.CostOnly()) - assert (plain.placement, plain.admission, plain.selection, plain.origin) == ( - None, - ngc.Admission.LOSSLESS, - None, - None, - ) - with pytest.raises(TypeError): - ngc.FlowPolicyConfig(placement=ngc.FlowPlacement.MAX_FLOW) + ngc.FlowPolicyConfig(ngc.ShortestPaths(), ngc.Admission.LOSSLESS) + # Keyword-only; the routing is required, admission LOSSLESS by default. The + # allocations, the weights and the route choice are the model's: no keyword of the config. + # A wrong class is TypeError. + plain = ngc.FlowPolicyConfig(routing=ngc.ShortestPaths()) + assert plain.admission == ngc.Admission.LOSSLESS with pytest.raises(TypeError): - ngc.FlowPolicyConfig(routing=ngc.CostOnly(), origin="EQUAL") + ngc.FlowPolicyConfig(admission=ngc.Admission.LOSSLESS) + for kw in ( + "selection", + "placement", + "origin", + "weights", + "edge_weights", + "bundles", + ): + with pytest.raises(TypeError): + ngc.FlowPolicyConfig(routing=ngc.ShortestPaths(), **{kw: None}) with pytest.raises(TypeError): - ngc.FlowPolicyConfig(routing=ngc.CostOnly(), placement=1) + ngc.ShortestPaths(allocation=1) with pytest.raises(TypeError): - ngc.FlowPolicyConfig(routing=ngc.Global(), bundles=None) # an unknown keyword + ngc.ShortestPaths(source_allocation="EQUAL") with pytest.raises(TypeError): - ngc.FlowPolicyConfig(routing=ngc.CostOnly(), weights="EXPLICIT") + ngc.ShortestPaths(weight_basis="EXPLICIT") with pytest.raises(TypeError, match="incompatible"): - ngc.CostOnly( - tunnels=ngc.Tunnels(2) + ngc.ShortestPaths( + tunnels=ngc.TunnelCount(2) ) # a field outside its routing variant: TypeError with pytest.raises(TypeError, match="incompatible"): - ngc.Global(max_path_cost=ngc.Absolute(4)) + ngc.CentralizedTE( + source_allocation=ngc.SourceAllocation.OPTIMIZED, + cost_ceiling=ngc.AbsoluteCost(4), + ) with pytest.raises(TypeError, match="routing"): - config("CostOnly") + config("ShortestPaths") # T1: the tunnel count (a Tunnels), the ceiling and the search minimum, every field as built. - ca = ngc.CapacityAware( - ngc.Tunnels(2), max_path_cost=ngc.Stretch(1.5), min_unreserved_bandwidth=3 + ca = ngc.DistributedTE( + ngc.TunnelCount(2), + cost_ceiling=ngc.CostStretch(1.5), + min_unreserved_bandwidth=3, ) - assert (ca.tunnels, ca.max_path_cost, ca.min_unreserved_bandwidth) == ( - ngc.Tunnels(2), - ngc.Stretch(1.5), + assert (ca.tunnel_count, ca.cost_ceiling, ca.min_unreserved_bandwidth) == ( + ngc.TunnelCount(2), + ngc.CostStretch(1.5), 3, ) - assert (ca.tunnels.count, ca.tunnels.up_to) == (2, False) - assert ngc.Tunnels(3, up_to=True).up_to is True - d = ngc.CapacityAware(ngc.Tunnels(1)) - assert (d.max_path_cost, d.min_unreserved_bandwidth) == (None, 0) - assert ngc.CapacityAware( - ngc.Tunnels(1), max_path_cost=ngc.Absolute(7) - ).max_path_cost == ngc.Absolute(7) + assert (ca.tunnel_count.per_head, ca.tunnel_count.up_to) == (2, False) + assert ngc.TunnelCount(3, up_to=True).up_to is True + d = ngc.DistributedTE(ngc.TunnelCount(1)) + assert (d.cost_ceiling, d.min_unreserved_bandwidth) == (None, 0) + assert ngc.DistributedTE( + ngc.TunnelCount(1), cost_ceiling=ngc.AbsoluteCost(7) + ).cost_ceiling == ngc.AbsoluteCost(7) with pytest.raises(TypeError): - ngc.CapacityAware() # the tunnel count is required + ngc.DistributedTE() # the tunnel count is required with pytest.raises(TypeError): - ngc.CapacityAware(2) # a Tunnels, not an int + ngc.DistributedTE(2) # a Tunnels, not an int with pytest.raises(TypeError): - ngc.CapacityAware(ngc.Tunnels(1), ngc.Absolute(1)) # keyword-only after tunnels + ngc.DistributedTE( + ngc.TunnelCount(1), ngc.AbsoluteCost(1) + ) # keyword-only after tunnels with pytest.raises(TypeError): - ngc.Tunnels(2, True) # up_to is keyword-only - for bad, message in ( - (2**70, "tunnel count = 1180591620717411303424 is out of range"), - (True, "tunnel count must be an integer (got bool)"), - (1.5, "tunnel count must be an integer (got float)"), + ngc.TunnelCount(2, True) # up_to is keyword-only + for bad, error, message in ( + ( + 2**70, + ValueError, + "TunnelCount per_head = 1180591620717411303424 is out of range", + ), + (True, TypeError, "TunnelCount per_head must be an integer (got bool)"), + (1.5, TypeError, "TunnelCount per_head must be an integer (got float)"), ): with pytest.raises( - ValueError, match=message.replace("(", r"\(").replace(")", r"\)") + error, match=message.replace("(", r"\(").replace(")", r"\)") ): - ngc.Tunnels(bad) + ngc.TunnelCount(bad) with pytest.raises( ValueError, match=exact( @@ -116,33 +126,35 @@ def test_configurations_are_structural_and_explicit(): "[-9223372036854775808, 9223372036854775807]" ), ): - ngc.CapacityAware(ngc.Tunnels(1), min_unreserved_bandwidth=2**80) + ngc.DistributedTE(ngc.TunnelCount(1), min_unreserved_bandwidth=2**80) with pytest.raises(TypeError): ngc.Pinned([[0, 1]]) cfg = ngc.FlowPolicyConfig(routing=ca) - assert isinstance(cfg.routing, ngc.CapacityAware) - assert cfg.routing.tunnels.count == 2 - s = sel(ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, RES, False, True) + assert isinstance(cfg.routing, ngc.DistributedTE) + assert cfg.routing.tunnel_count.per_head == 2 cfg = ngc.FlowPolicyConfig( - routing=ngc.Global(), - placement=ngc.FlowPlacement.MAX_FLOW, + routing=ngc.ShortestPaths( + allocation=ngc.RouteAllocation.EQUAL, + source_allocation=ngc.SourceAllocation.OPTIMIZED, + ), admission=ngc.Admission.LOSSY, - selection=s, - origin=ngc.Origin.EQUAL, ) # a plain value: the combination is checked where it is used - assert cfg.placement == ngc.FlowPlacement.MAX_FLOW + assert cfg.routing.allocation == ngc.RouteAllocation.EQUAL assert cfg.admission == ngc.Admission.LOSSY - assert cfg.selection == s - assert cfg.origin == ngc.Origin.EQUAL - assert ngc.PathSelection() == sel(ngc.EdgeTieBreak.DETERMINISTIC, CAP, None, True) - assert ngc.PathSelection().multipath is None - assert ngc.PathSelection() != sel(ngc.EdgeTieBreak.DETERMINISTIC, CAP, True, True) + assert cfg.routing.source_allocation == ngc.SourceAllocation.OPTIMIZED + # The ineffective tie rule is checked where the model is used, not at construction. + tie = ngc.ShortestPaths(tie_break=HIGHER_AVAIL) + assert (tie.tie_break, tie.multipath, tie.parallel_edges) == ( + HIGHER_AVAIL, + True, + True, + ) o = ngc.OutputOptions() names = ( "edge_flows", "residual", - "bottleneck", - "reservation_edge_flows", + "saturated_boundary_edges", + "edge_reservations", "min_cut", ) assert tuple(getattr(o, n) for n in names) == (False,) * 5 @@ -154,61 +166,67 @@ def test_configurations_are_structural_and_explicit(): g = diamond() a, b = dag_of(g, ids(g, [0, 1])), dag_of(g, ids(g, [2, 3])) program = ngc.ForwardingProgram.from_routes( - g, 0, 3, [ngc.Route(0, b), ngc.Route(0, a)] + g, 0, 3, [ngc.RouteDefinition(0, b), ngc.RouteDefinition(0, a)] ) dark = g.eligibility(excluded_edges=ids(g, [0])) pinned = ngc.Pinned(program, black_holes=dark) assert pinned.program is program and pinned.black_holes is dark assert ngc.Pinned(program).black_holes is None - # A policy's config is the configuration it was built with, its absent origin and selection - # resolved to the model's defaults (Pinned takes none). + # A policy's config is the configuration it was built with, ShortestPaths' absent source + # allocation and weight basis resolved to the allocation's defaults (Pinned has neither). pol = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, ngc.FlowPolicyConfig(routing=pinned)) - assert pol.config.placement is None and pol.config.selection is None assert pol.config.routing.program is program - assert pol.config.origin is None - for routing, placement, origin in ( - (ngc.CostOnly(), ngc.FlowPlacement.EQUAL_BALANCED, ngc.Origin.EQUAL), - (ngc.CostOnly(), ngc.FlowPlacement.WEIGHTED, ngc.Origin.EQUAL), - (ngc.CostOnly(), ngc.FlowPlacement.MAX_FLOW, ngc.Origin.OPTIMIZED), - (ngc.Global(), None, ngc.Origin.OPTIMIZED), + for allocation, source_allocation, weight_basis in ( + (ngc.RouteAllocation.EQUAL, ngc.SourceAllocation.EQUAL, None), + ( + ngc.RouteAllocation.WEIGHTED, + ngc.SourceAllocation.EQUAL, + ngc.WeightBasis.CAPACITY, + ), + (ngc.RouteAllocation.OPTIMIZED, ngc.SourceAllocation.OPTIMIZED, None), ): got = ngc.FlowPolicy( ngc.FlowLedger(g), 0, 3, - ngc.FlowPolicyConfig(routing=routing, placement=placement), + ngc.FlowPolicyConfig(routing=ngc.ShortestPaths(allocation=allocation)), ).config - assert got.origin == origin - assert got.selection == (None if placement is None else ngc.PathSelection()) + assert (got.routing.source_allocation, got.routing.weight_basis) == ( + source_allocation, + weight_basis, + ) + got = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, GLOBAL).config + assert got.routing.source_allocation == ngc.SourceAllocation.OPTIMIZED got = ngc.FlowPolicy( ngc.FlowLedger(g), 0, 3, - ngc.FlowPolicyConfig(routing=ngc.CapacityAware(ngc.Tunnels(1))), + ngc.FlowPolicyConfig(routing=ngc.DistributedTE(ngc.TunnelCount(1))), ).config - assert (got.origin, got.selection, got.placement) == ( - ngc.Origin.EQUAL, - ngc.PathSelection(), - None, + assert (got.routing.tie_break, got.routing.parallel_edges) == ( + ngc.RouteTieBreak.FEWER_HOPS, + True, ) # The constructors' own checks: an integer field outside its C++ type raises ValueError; a # field of the wrong class and an unknown keyword raise TypeError. - assert ngc.Absolute(2**63 - 1).cost == 2**63 - 1 - assert ngc.Absolute(-(2**63)).cost == -(2**63) + assert ngc.AbsoluteCost(2**63 - 1).cost == 2**63 - 1 + assert ngc.AbsoluteCost(-(2**63)).cost == -(2**63) for bad in (2**63, -(2**63) - 1): with pytest.raises( ValueError, match=exact( - f"Absolute cost = {bad} is out of range [-9223372036854775808, 9223372036854775807]" + f"AbsoluteCost cost = {bad} is out of range [-9223372036854775808, 9223372036854775807]" ), ): - ngc.Absolute(bad) + ngc.AbsoluteCost(bad) with pytest.raises( - TypeError, match=exact("max_path_cost must be Absolute, Stretch or None") + TypeError, match=exact("cost_ceiling must be AbsoluteCost, CostStretch or None") ): - ngc.CapacityAware(ngc.Tunnels(1), max_path_cost=3) + ngc.DistributedTE(ngc.TunnelCount(1), cost_ceiling=3) with pytest.raises(TypeError): - ngc.CapacityAware(ngc.Tunnels(1), min_flow_bandwidth=2) # T0's field is gone + ngc.DistributedTE( + ngc.TunnelCount(1), min_flow_bandwidth=2 + ) # T0's field is gone class _ConversionFailed(Exception): @@ -227,66 +245,18 @@ def __index__(self): raise _ConversionFailed("own index") -class _BigInt(int): - pass - - -class _OwnFloat(int): - # An int subclass whose own __float__ gives 2.5, whatever its integer value. - def __float__(self): - return 2.5 - - class _OverflowingFloat(np.float32): # A NumPy floating scalar whose own __float__ raises OverflowError. def __float__(self): raise OverflowError("own conversion") -class _OverflowingIntFloat(int): - # An int subclass whose own __float__ raises OverflowError. - def __float__(self): - raise OverflowError("own conversion") - - class _OverflowingIndex: # An integer-like object whose own __index__ raises OverflowError. def __index__(self): raise OverflowError("own conversion") -def test_float_fields_hold_only_finite_floats(): - # Stretch's factor is a C++ double. An integer with no finite - # double (at either sign, as a Python int or through __index__) is outside the field's domain: - # ValueError naming the field. The last integer that rounds to the largest finite double is - # kept as that double; the next one rounds past it. - top = sys.float_info.max - last = 2**1024 - 2**970 - 1 - assert ngc.Stretch(last).factor == top - assert ngc.Stretch(-last).factor == -top - - class Index: - def __index__(self): - return 10**400 - - too_large = "must be a number in the float range (got an integer beyond the largest finite float)" - for bad in (last + 1, -(last + 1), 10**400, Index()): - with pytest.raises(ValueError, match=exact("Stretch factor " + too_large)): - ngc.Stretch(bad) - # So is an int subclass that keeps int's own conversion; one with its own __float__ is - # converted by that first, as float() does. - with pytest.raises(ValueError, match=exact("Stretch factor " + too_large)): - ngc.Stretch(_BigInt(10**400)) - assert ngc.Stretch(_OwnFloat(10**400)).factor == 2.5 - # Any other failure of the object's own conversion reaches the caller unchanged, an - # OverflowError raised by its own __float__ or __index__ too: no integer was returned. - with pytest.raises(_ConversionFailed): - ngc.Stretch(_FailingFloat(2.0)) - for bad in (_OverflowingFloat(2.0), _OverflowingIndex(), _OverflowingIntFloat(2)): - with pytest.raises(OverflowError, match=exact("own conversion")): - ngc.Stretch(bad) - - def test_validation_messages_before_binding(): g = diamond() fg = ngc.FlowLedger(g) @@ -295,39 +265,26 @@ def rejects(cfg, msg, src=0): with pytest.raises(ValueError, match=exact(msg)): ngc.FlowPolicy(fg, src, 3, cfg) - stretch = "max_path_cost Stretch factor must be finite and in [1, inf) (got {})" + stretch = "cost_ceiling CostStretch factor must be >= 1 (got {})" rejects( - config(ngc.CostOnly(), ngc.FlowPlacement.MAX_FLOW, ngc.Admission.LOSSY), + config(ngc.ShortestPaths(), ngc.RouteAllocation.OPTIMIZED, ngc.Admission.LOSSY), LOSSY_KERNEL, ) - rejects( - ngc.FlowPolicyConfig( - routing=ngc.Global(), placement=ngc.FlowPlacement.MAX_FLOW - ), - "Global does not accept placement", - ) - rejects(ngc.FlowPolicyConfig(routing=ngc.CostOnly()), "CostOnly requires placement") + rejects(config(GLOBAL.routing, admission=ngc.Admission.LOSSY), CTE_LOSSY) rejects(t1_config(0), "tunnel count must be in [1, 10000]") rejects(t1_config(10001), "tunnel count must be in [1, 10000]") rejects( - ngc.FlowPolicyConfig(routing=ngc.CapacityAware(ngc.Tunnels(2, up_to=True))), - "T1 requires an exact tunnel count", + ngc.FlowPolicyConfig(routing=ngc.DistributedTE(ngc.TunnelCount(2, up_to=True))), + "DistributedTE requires an exact tunnel count", ) - rejects(t1_config(1, max_path_cost=ngc.Stretch(0.5)), stretch.format("0.500000")) - rejects(t1_config(1, max_path_cost=ngc.Stretch(math.nan)), stretch.format("nan")) + rejects(t1_config(1, cost_ceiling=ngc.CostStretch(0.5)), stretch.format("1/2")) for bad in (-1, 2**62): rejects( t1_config(1, min_unreserved_bandwidth=bad), "min_unreserved_bandwidth must be an integer in [0, 2^62)", ) b = dag_of(g, ids(g, [0, 1])) - program = ngc.ForwardingProgram.from_routes(g, 0, 3, [ngc.Route(0, b)]) - rejects( - ngc.FlowPolicyConfig( - routing=ngc.Pinned(program), placement=ngc.FlowPlacement.MAX_FLOW - ), - "Pinned does not accept placement", - ) + program = ngc.ForwardingProgram.from_routes(g, 0, 3, [ngc.RouteDefinition(0, b)]) rejects( ngc.FlowPolicyConfig(routing=ngc.Pinned(program)), "program endpoints do not match policy endpoints", @@ -345,11 +302,11 @@ def rejects(cfg, msg, src=0): ): ngc.FlowPolicy(fg, 0, 3, COSTONLY, diamond().eligibility(excluded_edges=[0])) with pytest.raises( - ValueError, match=exact("foreign DagCache: bound to another graph") + ValueError, match=exact("foreign ShortestPathCache: bound to another graph") ): - ngc.FlowPolicy(fg, 0, 3, COSTONLY, None, ngc.DagCache(diamond())) + ngc.FlowPolicy(fg, 0, 3, COSTONLY, None, ngc.ShortestPathCache(diamond())) # Arguments of the wrong kind: a ledger of None and non-integer node ids are ValueError; a - # ledger, config, elig or cache of the wrong class and an unknown keyword are TypeError. + # ledger, config, eligibility or cache of the wrong class and an unknown keyword are TypeError. with pytest.raises(ValueError, match=exact("ledger must be a FlowLedger")): ngc.FlowPolicy(None, 0, 3, COSTONLY) with pytest.raises( @@ -362,8 +319,8 @@ def rejects(cfg, msg, src=0): ngc.FlowPolicy(fg, 0, 3.0, COSTONLY) for wrong in ( lambda: ngc.FlowPolicy(g, 0, 3, COSTONLY), - lambda: ngc.FlowPolicy(fg, 0, 3, ngc.CostOnly()), - lambda: ngc.FlowPolicy(fg, 0, 3, COSTONLY, ngc.DagCache(g)), + lambda: ngc.FlowPolicy(fg, 0, 3, ngc.ShortestPaths()), + lambda: ngc.FlowPolicy(fg, 0, 3, COSTONLY, ngc.ShortestPathCache(g)), lambda: ngc.FlowPolicy(fg, 0, 3, COSTONLY, None, g.eligibility()), lambda: ngc.FlowPolicy(fg, 0, 3, COSTONLY, cash=None), ): @@ -372,144 +329,164 @@ def rejects(cfg, msg, src=0): fg.reset() # nothing bound pol = ngc.FlowPolicy(fg, 0, 3, COSTONLY) with pytest.raises( - TypeError, match=exact("outputs must be an OutputOptions (got CostOnly)") + TypeError, match=exact("outputs must be an OutputOptions (got ShortestPaths)") ): - pol.place(1, ngc.CostOnly()) + pol.place(1, ngc.ShortestPaths()) assert pol.records() == [] -LOSSY_KERNEL = "MAX_FLOW requires admission=LOSSLESS" -P = ngc.FlowPlacement +LOSSY_KERNEL = "ShortestPaths OPTIMIZED requires admission=LOSSLESS" +CTE_LOSSY = "CentralizedTE without tunnel_count requires admission=LOSSLESS" +P = ngc.RouteAllocation A = ngc.Admission -ORIGIN = ngc.Origin +ORIGIN = ngc.SourceAllocation +HC = ngc.RouteTieBreak.HIGHER_CAPACITY def T1(): - return ngc.CapacityAware(ngc.Tunnels(1)) + return ngc.DistributedTE(ngc.TunnelCount(1)) + + +INEFFECTIVE = "ShortestPaths tie_break requires multipath=False or parallel_edges=False" @pytest.mark.parametrize( - ("routing", "placement", "admission", "selection", "origin", "msg"), + ("routing", "admission", "msg"), [ - # The rows of the matrix, their columns left to right: placement, origin, admission, - # selection (contract 3.2, 14.3, 14.4). - # Global rejects any selection before its row. + # The rows of the matrix, their checks in order: the source allocation, admission, the + # ineffective tie rule (a HIGHER_* tie_break over every route and parallel edge), + # prefer_headroom, the weights, the tunnel count. ( - ngc.Global, - P.MAX_FLOW, + lambda: ngc.CentralizedTE( + source_allocation=ORIGIN.EQUAL, prefer_headroom=True + ), A.LOSSY, - True, - ORIGIN.EQUAL, - "Global does not accept selection", + CTE_LOSSY, ), ( - ngc.Global, - P.MAX_FLOW, + lambda: ngc.ShortestPaths( + allocation=P.EQUAL, source_allocation=ORIGIN.OPTIMIZED, tie_break=HC + ), A.LOSSY, - False, - ORIGIN.EQUAL, - "Global does not accept placement", + "ShortestPaths with EQUAL or WEIGHTED requires source_allocation=EQUAL", ), - (ngc.Global, None, A.LOSSY, False, ORIGIN.EQUAL, LOSSY_KERNEL), ( - ngc.Global, - None, + lambda: ngc.ShortestPaths(allocation=P.OPTIMIZED, tie_break=HC), + A.LOSSY, + LOSSY_KERNEL, + ), + ( + lambda: ngc.ShortestPaths( + allocation=P.OPTIMIZED, source_allocation=ORIGIN.EQUAL, tie_break=HC + ), A.LOSSLESS, - True, - ORIGIN.EQUAL, - "Global does not accept selection", + INEFFECTIVE, ), + (lambda: ngc.ShortestPaths(tie_break=HC), A.LOSSY, INEFFECTIVE), ( - ngc.CostOnly, - None, - A.LOSSY, - True, - ORIGIN.OPTIMIZED, - "CostOnly requires placement", + lambda: ngc.ShortestPaths( + tie_break=HC, weight_basis=ngc.WeightBasis.CAPACITY + ), + A.LOSSLESS, + INEFFECTIVE, ), ( - ngc.CostOnly, - P.EQUAL_BALANCED, + lambda: ngc.ShortestPaths(edge_weights=[1, 1, 1, 1, 1]), A.LOSSY, - True, - ORIGIN.OPTIMIZED, - "CostOnly with EQUAL_BALANCED or WEIGHTED requires origin=EQUAL", + "edge_weights require weight_basis=EXPLICIT", ), - (ngc.CostOnly, P.MAX_FLOW, A.LOSSY, True, ORIGIN.EQUAL, LOSSY_KERNEL), ( - T1, - P.MAX_FLOW, + lambda: ngc.DistributedTE( + ngc.TunnelCount(1, up_to=True), cost_ceiling=ngc.CostStretch(0.5) + ), A.LOSSY, - True, - ORIGIN.OPTIMIZED, - "T1 does not accept placement", + "DistributedTE requires an exact tunnel count", ), - (T1, None, A.LOSSY, True, ORIGIN.OPTIMIZED, "T1 requires origin=EQUAL"), ], ) def test_several_defects_report_the_first_in_the_contract_order( - routing, placement, admission, selection, origin, msg + routing, admission, msg ): # Several defects at once: one exact ValueError text, the first in the matrix's order, at - # construction and at the three evaluators (batch_capacity's precheck included); nothing is + # construction and at the three evaluators (evaluate_pairs's precheck included); nothing is # bound. g = diamond() fg = ngc.FlowLedger(g) - cfg = ngc.FlowPolicyConfig( - routing=routing(), - placement=placement, - admission=admission, - selection=sel() if selection else None, - origin=origin, - ) + cfg = ngc.FlowPolicyConfig(routing=routing(), admission=admission) with pytest.raises(ValueError) as e: ngc.FlowPolicy(fg, 0, 3, cfg) assert str(e.value) == msg with pytest.raises(ValueError) as e: - ngc.capacity(g, 0, 3, ngc.QueryOptions(cfg)) + ngc.evaluate_demand(g, 0, 3, ngc.EvaluationOptions(cfg)) assert str(e.value) == msg with pytest.raises(ValueError) as e: - ngc.batch_capacity(g, [(0, 3)], ngc.QueryOptions(cfg)) + ngc.evaluate_pairs(g, [(0, 3)], ngc.EvaluationOptions(cfg)) assert str(e.value) == msg with pytest.raises(ValueError) as e: - ngc.sensitivity(g, 0, 3, ngc.QueryOptions(cfg), 1) + ngc.evaluate_edge_failures(g, 0, 3, ngc.EvaluationOptions(cfg), 1) assert str(e.value) == msg fg.reset() # nothing bound def test_enum_values_outside_their_enumeration_are_rejected(): # An enum built from an integer outside the enumeration is a domain error named by its field: - # at PathSelection's constructor, and for FlowPolicyConfig (a plain value) wherever it is used, - # first among its checks, so it never reaches a policy or record. - with pytest.raises( - ValueError, match="tie_break: 99 is not a value of EdgeTieBreak" + # FlowPolicyConfig and the models are plain values, checked wherever they are used, first + # among their checks, so it never reaches a policy or record; the searches check their own. + bad_tie = ngc.RouteTieBreak(99) + for options, search in ( + (ngc.SpfOptions(ngc.Direction.FORWARD, tie_break=bad_tie), ngc.spf), + (ngc.KspOptions(1, tie_break=bad_tie), lambda g, s, o: ngc.ksp(g, s, 3, o)), ): - ngc.PathSelection(ngc.EdgeTieBreak(99), ngc.EdgePriority.CAPACITY) - with pytest.raises(ValueError, match="priority: 99 is not a value of EdgePriority"): - ngc.PathSelection(ngc.EdgeTieBreak.DETERMINISTIC, ngc.EdgePriority(99)) + with pytest.raises( + ValueError, match=exact("tie_break: 99 is not a value of RouteTieBreak") + ): + search(diamond(), 0, options) g = diamond() - for routing in (ngc.CostOnly(), T1(), ngc.Global()): - for cfg, message in ( - ( - ngc.FlowPolicyConfig(routing=routing, placement=ngc.FlowPlacement(99)), - "placement: 99 is not a value of FlowPlacement", - ), + bad_source = "source_allocation: 99 is not a value of SourceAllocation" + cases = [ + ( + ngc.ShortestPaths(allocation=ngc.RouteAllocation(99)), + "allocation: 99 is not a value of RouteAllocation", + ), + (ngc.ShortestPaths(source_allocation=ORIGIN(99)), bad_source), + ( + ngc.ShortestPaths(allocation=P.WEIGHTED, weight_basis=ngc.WeightBasis(99)), + "weight_basis: 99 is not a value of WeightBasis", + ), + (ngc.CentralizedTE(source_allocation=ORIGIN(99)), bad_source), + ] + for routing in (ngc.ShortestPaths(), T1(), GLOBAL.routing): + cases.append( ( ngc.FlowPolicyConfig(routing=routing, admission=ngc.Admission(99)), "admission: 99 is not a value of Admission", - ), - ( - ngc.FlowPolicyConfig(routing=routing, origin=ngc.Origin(99)), - "origin: 99 is not a value of Origin", - ), + ) + ) + for cfg, message in cases: + if not isinstance(cfg, ngc.FlowPolicyConfig): + cfg = ngc.FlowPolicyConfig(routing=cfg) + with pytest.raises(ValueError, match=exact(message)): + ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, cfg) + with pytest.raises(ValueError, match=exact(message)): + ngc.evaluate_demand(g, 0, 3, ngc.EvaluationOptions(cfg)) + for routing in ( + ngc.ShortestPaths(tie_break=bad_tie), + ngc.DistributedTE(ngc.TunnelCount(1), tie_break=bad_tie), + ): + cfg = ngc.FlowPolicyConfig(routing=routing, admission=ngc.Admission(98)) + message = ( + "admission: 98 is not a value of Admission" # the config's own enums first + ) + with pytest.raises(ValueError, match=exact(message)): + ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, cfg) + cfg = ngc.FlowPolicyConfig(routing=routing) + with pytest.raises( + ValueError, match=exact("tie_break: 99 is not a value of RouteTieBreak") ): - with pytest.raises(ValueError, match=exact(message)): - ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, cfg) - with pytest.raises(ValueError, match=exact(message)): - ngc.capacity(g, 0, 3, ngc.QueryOptions(cfg)) - assert len(ngc.FlowPlacement.__members__) == 3 # the loop below is not empty - for valid in ngc.FlowPlacement.__members__.values(): - assert config(ngc.CostOnly(), valid).placement == valid + ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, cfg) + assert len(ngc.RouteAllocation.__members__) == 3 # the loop below is not empty + for valid in ngc.RouteAllocation.__members__.values(): + assert config(ngc.ShortestPaths(), valid).routing.allocation == valid def test_placement_result_fields_and_outputs(): @@ -517,11 +494,11 @@ def test_placement_result_fields_and_outputs(): fg = ngc.FlowLedger(g) pol = ngc.FlowPolicy(fg, [0], [3], COSTONLY) r = pol.place(4) - assert (r.placed, r.remaining, r.termination) == (4, 0, T.COMPLETE) + assert (r.call_delivered, r.call_undelivered, r.termination) == (4, 0, T.COMPLETE) assert not hasattr(r, "local_outcomes") # The epoch's first call installs the program: its routes and weights. - assert (r.routes_changed, r.weights_changed, r.call_drops) == (True, True, []) - assert (r.delivery_delta, r.call_source_loss, r.drops, r.source_loss) == ( + assert (r.routes_changed, r.weights_changed, r.call_edge_drops) == (True, True, []) + assert (r.delivery_delta, r.call_source_drops, r.edge_drops, r.source_drops) == ( 4, 0, [], @@ -537,36 +514,39 @@ def test_placement_result_fields_and_outputs(): row = r.by_source[0] assert isinstance(r.by_source, tuple) and len(r.by_source) == 1 assert (row.source, row.offered, row.admitted, row.delivered) == (0, None, 4, 4) - assert (row.source_loss, row.dropped) == (0, 0) + assert (row.source_drops, row.total_edge_drops) == (0, 0) with pytest.raises(TypeError): ngc.SourceFlow() - with pytest.raises(AttributeError): - row.delivered = 1 - assert r.cost_distribution is None and r.total_cost is None + assert_read_only(row, "delivered") + assert r.marginal_cost_curve is None and r.total_cost is None assert ( r.edge_flows is None and r.residual is None - and r.bottleneck is None + and r.saturated_boundary_edges is None and r.min_cut is None ) r = pol.place(INF, ALL_OUT) - assert (r.placed, r.remaining, r.termination) == (3, INF, T.EXHAUSTED) + assert (r.call_delivered, r.call_undelivered, r.termination) == ( + 3, + INF, + T.EXHAUSTED, + ) assert r.edge_flows.dtype == np.int64 and r.residual.dtype == np.int64 assert list(r.residual) == list(fg.residual()) own = [0] * 4 for rec in pol.records(): - for e, x in rec.edges: + for e, x in rec.edge_flows: own[e] += x assert list(r.edge_flows) == own - assert r.bottleneck == fg.bottleneck(0) + assert r.saturated_boundary_edges == fg.saturated_boundary_edges(0) # By hand: the flow's 7 units split equally at node 0, the leftover unit to the lower # EdgeId: 4 on 0 -> 1 -> 3 and 3 on 0 -> 2 -> 3, the most that keeps 0 -> 2 within its 3. # Only 0 -> 2 is saturated where it leaves what the source still reaches. assert r.edge_flows.tolist() == to_ids(g, [4, 4, 3, 3]) assert r.residual.tolist() == to_ids(g, [1, 1, 0, 0]) - assert r.bottleneck == ids(g, [2]) - assert r.min_cut is None # Global only - assert pol.placed_demand() == 7 + assert r.saturated_boundary_edges == ids(g, [2]) + assert r.min_cut is None # CentralizedTE only + assert pol.delivered() == 7 with pytest.raises( ValueError, match=exact("offer must be an integer in [0, 2^62) or permitted +inf"), @@ -583,13 +563,13 @@ def test_placement_result_fields_and_outputs(): ): pol.place(np.int64(1)) pol.remove() - assert pol.records() == [] and list(fg.allocated()) == [0, 0, 0, 0] - assert pol.place(np.int64(2)).placed == 2 - # Global: the marginal curve; min_cut with bottleneck. + assert pol.records() == [] and list(fg.carried()) == [0, 0, 0, 0] + assert pol.place(np.int64(2)).call_delivered == 2 + # CentralizedTE: the marginal curve; min_cut with bottleneck. fg2 = ngc.FlowLedger(diamond(5, 3, 2)) gl = ngc.FlowPolicy(fg2, 0, 3, GLOBAL) - r = gl.place(INF, ngc.OutputOptions(bottleneck=True)) - assert r.cost_distribution == [(2, 5), (4, 3)] and r.min_cut is None + r = gl.place(INF, ngc.OutputOptions(saturated_boundary_edges=True)) + assert r.marginal_cost_curve == [(2, 5), (4, 3)] and r.min_cut is None gl.remove() r = gl.place(INF, ngc.OutputOptions(min_cut=True)) assert r.min_cut == sorted(ids(diamond(5, 3, 2), [0, 2])) @@ -600,14 +580,14 @@ def test_lifetimes_keep_alive_and_orphans(): g = diamond() fg = ngc.FlowLedger(g) el = g.eligibility(excluded_edges=ids(g, [2])) - cache = ngc.DagCache(g) + cache = ngc.ShortestPathCache(g) pol = ngc.FlowPolicy(fg, 0, 3, COSTONLY, el, cache) held = [weakref.ref(x) for x in (fg, el, cache)] del fg, el, cache gc.collect() assert all(r() is not None for r in held) assert ( - pol.place(10).placed == 5 + pol.place(10).call_delivered == 5 ) # the ledger, the Eligibility and the cache are alive del pol gc.collect() @@ -632,22 +612,22 @@ def test_lifetimes_keep_alive_and_orphans(): @needs_hooks def test_owner_hook_is_the_owner_of_the_records(): # The private hook FlowPolicy._owner reads the ledger-local owner id: one per policy of a - # ledger, known before the policy has a record, and carried by its records as FlowRecord.owner. + # ledger, known before the policy has a record, and carried by its records as FlowRecord.policy_id. g = diamond() fg = ngc.FlowLedger(g) policies = [ngc.FlowPolicy(fg, 0, 3, COSTONLY) for _ in range(3)] owners = [p._owner() for p in policies] assert len(set(owners)) == 3 for p in reversed(policies): - assert p.place(1).placed == 1 + assert p.place(1).call_delivered == 1 for p, owner in zip(policies, owners, strict=True): - assert [r.owner for r in p.records()] == [owner] + assert [r.policy_id for r in p.records()] == [owner] def pinned_over(g, *dags): """Pinned over a program of the split routes `dags` of head 0 to node 3.""" program = ngc.ForwardingProgram.from_routes( - g, 0, 3, [ngc.Route(0, d) for d in dags] + g, 0, 3, [ngc.RouteDefinition(0, d) for d in dags] ) return ngc.FlowPolicyConfig(routing=ngc.Pinned(program)) @@ -658,13 +638,13 @@ def test_pinned_records(): r1, r2 = dag_of(g, ids(g, [0, 1])), dag_of(g, ids(g, [2, 3])) el = g.eligibility(excluded_edges=ids(g, [3])) # The replay fails the second route (its last edge excluded): the head's share goes to the - # first; one record per program entry, the failed one with an empty bundle. + # first; one record per program entry, the failed one with an empty route. pol = ngc.FlowPolicy(fg, 0, 3, pinned_over(g, r1, r2), el) r = pol.place(9) - assert (r.placed, r.termination) == (5, T.EXHAUSTED) + assert (r.call_delivered, r.termination) == (5, T.EXHAUSTED) rec, failed = pol.records() - assert rec.bundle == r1 and pol.record(rec.flow_id).delivered == 5 - assert (rec.entry, failed.entry, failed.route_cost) == (0, 1, None) + assert rec.route == r1 and pol.record(rec.flow_id).delivered == 5 + assert (rec.entry_id, failed.entry_id, failed.min_route_cost) == (0, 1, None) # record() reads the policy's own records only, not another policy's on the same ledger. other = ngc.FlowPolicy(fg, 0, 3, pinned_over(g, r1)) other.place(1) @@ -691,12 +671,16 @@ def test_pinned_records(): fg, 0, 3, pinned_over(g, r2), g.eligibility(excluded_edges=ids(g, [3])) ) r = all_down.place(1) - assert (r.placed, r.termination, r.by_source[0].admitted) == (0, T.NO_ROUTE, 0) + assert (r.call_delivered, r.termination, r.by_source[0].admitted) == ( + 0, + T.NO_ROUTE, + 0, + ) def test_dag_cache_statistics_and_projection(): g = diamond() - cache = ngc.DagCache(g) + cache = ngc.ShortestPathCache(g) fg = ngc.FlowLedger(g) a = ngc.FlowPolicy(fg, 0, 3, COSTONLY, None, cache) b = ngc.FlowPolicy( @@ -704,13 +688,9 @@ def test_dag_cache_statistics_and_projection(): 0, 3, config( - ngc.CostOnly(), - selection=sel( - ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, - RES, - False, - False, - ), + ngc.ShortestPaths( + tie_break=HIGHER_AVAIL, multipath=False, parallel_edges=False + ) ), None, cache, @@ -718,7 +698,7 @@ def test_dag_cache_statistics_and_projection(): s = cache.stats() assert (s.hits, s.misses, s.entries, s.live_values) == (1, 1, 1, 1) assert s.bytes > 0 - assert a.place(2).placed == 2 and b.place(2).placed == 2 + assert a.place(2).call_delivered == 2 and b.place(2).call_delivered == 2 cache.clear() s = cache.stats() assert (s.hits, s.misses, s.entries, s.bytes) == (1, 1, 0, 0) @@ -728,87 +708,114 @@ def test_dag_cache_statistics_and_projection(): def test_capacity_batch_and_workers(monkeypatch): g = diamond(5, 3) - opts = ngc.QueryOptions(GLOBAL, outputs=ngc.OutputOptions(edge_flows=True)) - r = ngc.capacity(g, 0, 3, opts) - assert (r.placed, r.termination, r.cost_distribution) == (8, T.EXHAUSTED, [(2, 8)]) + opts = ngc.EvaluationOptions(GLOBAL, outputs=ngc.OutputOptions(edge_flows=True)) + r = ngc.evaluate_demand(g, 0, 3, opts) + assert (r.call_delivered, r.termination, r.marginal_cost_curve) == ( + 8, + T.EXHAUSTED, + [(2, 8)], + ) assert int(np.sum(r.edge_flows)) == 16 common = g.eligibility(excluded_edges=ids(g, [3])) pairs = [(0, 3), ([0], [3]), (1, 3), (0, [1, 2])] per = [None, g.eligibility(excluded_edges=ids(g, [0])), None, None] want = [5, 0, 5, 8] for workers in (1, 3, None): - got = ngc.batch_capacity( - g, pairs, ngc.QueryOptions(GLOBAL, elig=common), per, workers + got = ngc.evaluate_pairs( + g, pairs, ngc.EvaluationOptions(GLOBAL, eligibility=common), per, workers ) - assert [x.placed for x in got] == want + assert [x.call_delivered for x in got] == want # workers=None reads NGRAPH_CORE_BATCH_THREADS. The count changes only how many threads run, # never a result, so this checks only that the default path with the variable set gives the # same results (its parsing: the C++ test Evaluators.DefaultWorkersParseTheEnvironment). monkeypatch.setenv("NGRAPH_CORE_BATCH_THREADS", "4") - got = ngc.batch_capacity(g, pairs, ngc.QueryOptions(GLOBAL, elig=common), per) - assert [x.placed for x in got] == want - assert ngc.batch_capacity(g, [], ngc.QueryOptions(GLOBAL)) == [] + got = ngc.evaluate_pairs( + g, pairs, ngc.EvaluationOptions(GLOBAL, eligibility=common), per + ) + assert [x.call_delivered for x in got] == want + assert ngc.evaluate_pairs(g, [], ngc.EvaluationOptions(GLOBAL)) == [] with pytest.raises(ValueError, match="node 7"): - ngc.batch_capacity( - g, [(0, 3), (0, 7), (0, 8)], ngc.QueryOptions(GLOBAL), workers=4 + ngc.evaluate_pairs( + g, [(0, 3), (0, 7), (0, 8)], ngc.EvaluationOptions(GLOBAL), workers=4 ) with pytest.raises( - ValueError, match=exact("per_pair_elig has 1 entries for 4 pairs") + ValueError, match=exact("per_pair_eligibility has 1 entries for 4 pairs") ): - ngc.batch_capacity(g, pairs, ngc.QueryOptions(GLOBAL), [None]) + ngc.evaluate_pairs(g, pairs, ngc.EvaluationOptions(GLOBAL), [None]) with pytest.raises( - ValueError, match=exact("batch_capacity does not accept Pinned") + ValueError, match=exact("evaluate_pairs does not accept Pinned") ): - ngc.batch_capacity( + ngc.evaluate_pairs( g, pairs, - ngc.QueryOptions(pinned_over(g, dag_of(g, ids(g, [0, 1])))), + ngc.EvaluationOptions(pinned_over(g, dag_of(g, ids(g, [0, 1])))), ) - cache = ngc.DagCache(g) - eb = ngc.QueryOptions(COSTONLY, cache=cache) + cache = ngc.ShortestPathCache(g) + eb = ngc.EvaluationOptions(COSTONLY, cache=cache) with pytest.raises(ValueError, match="workers == 1"): - ngc.batch_capacity(g, pairs, eb, workers=2) - got = ngc.batch_capacity( + ngc.evaluate_pairs(g, pairs, eb, workers=2) + got = ngc.evaluate_pairs( g, pairs, eb ) # None with a cache: 1 worker, even with the env set - assert [x.placed for x in got] == [7, 7, 5, 7] # EB: [4, 3] over links of 5 and 3 + assert [x.call_delivered for x in got] == [ + 7, + 7, + 5, + 7, + ] # EB: [4, 3] over links of 5 and 3 with pytest.raises(ValueError, match="workers"): - ngc.batch_capacity(g, pairs, ngc.QueryOptions(GLOBAL), workers=0) + ngc.evaluate_pairs(g, pairs, ngc.EvaluationOptions(GLOBAL), workers=0) -def test_sensitivity_candidates_and_signed_losses(monkeypatch): - # Global: an unsaturated critical edge appears. +def test_edge_failures_candidates_and_signed_reductions(monkeypatch): + # CentralizedTE: an unsaturated critical edge appears. g = build(3, [(0, 1, 9, 1), (1, 2, 4, 1), (0, 2, 2, 5)]) - s = ngc.sensitivity(g, 0, 2, ngc.QueryOptions(GLOBAL)) - assert s.baseline.placed == 6 - pos = g.input_index() - assert {int(pos[e.edge]): e.loss for e in s.entries} == {0: 4, 1: 4, 2: 2} + s = ngc.evaluate_edge_failures(g, 0, 2, ngc.EvaluationOptions(GLOBAL)) + assert s.baseline.call_delivered == 6 + pos = g.input_positions() + assert {int(pos[e.edge]): e.delivery_reduction for e in s.entries} == { + 0: 4, + 1: 4, + 2: 2, + } # workers=None reads NGRAPH_CORE_SENSITIVITY_THREADS: the same results on 3 workers (only that # the default path with the variable set works; its parsing is tested in C++). monkeypatch.setenv("NGRAPH_CORE_SENSITIVITY_THREADS", "3") - assert plain(ngc.sensitivity(g, 0, 2, ngc.QueryOptions(GLOBAL))) == plain(s) + assert plain( + ngc.evaluate_edge_failures(g, 0, 2, ngc.EvaluationOptions(GLOBAL)) + ) == plain(s) # A policy model: every allowed edge is a candidate, a zero-capacity one too. Equal splitting # over parallel links of 1, 10 and 0 fits 2 units (a third would cross the zero link); # without the thin link 1 fits, without the wide link 1, without the zero link 2. p = build(2, [(0, 1, 1, 1), (0, 1, 10, 1), (0, 1, 0, 1)]) - opts = ngc.QueryOptions(COSTONLY) - s = ngc.sensitivity(p, 0, 1, opts, workers=2) - assert s.baseline.placed == 2 - pos = p.input_index() - assert {int(pos[e.edge]): e.loss for e in s.entries} == {0: 1, 1: 1, 2: 0} + opts = ngc.EvaluationOptions(COSTONLY) + s = ngc.evaluate_edge_failures(p, 0, 1, opts, workers=2) + assert s.baseline.call_delivered == 2 + pos = p.input_positions() + assert {int(pos[e.edge]): e.delivery_reduction for e in s.entries} == { + 0: 1, + 1: 1, + 2: 0, + } # A negative loss on a zero-capacity link (the search graph S): the only shortest route 0 -> 1 has capacity # 0, so equal splitting carries 0; without it the route 0 -> 2 -> 1 carries 5. g8 = build(3, [(0, 1, 0, 1), (0, 2, 5, 1), (2, 1, 5, 1)]) - s8 = ngc.sensitivity(g8, 0, 1, opts) - assert s8.baseline.placed == 0 - pos8 = g8.input_index() - assert {int(pos8[e.edge]): e.loss for e in s8.entries} == {0: -5, 1: 0, 2: 0} + s8 = ngc.evaluate_edge_failures(g8, 0, 1, opts) + assert s8.baseline.call_delivered == 0 + pos8 = g8.input_positions() + assert {int(pos8[e.edge]): e.delivery_reduction for e in s8.entries} == { + 0: -5, + 1: 0, + 2: 0, + } with pytest.raises(ValueError, match="both endpoint sets"): - ngc.sensitivity(p, 0, 0, opts) - # The baseline is capacity() with the requested outputs. + ngc.evaluate_edge_failures(p, 0, 0, opts) + # The baseline is evaluate_demand() with the requested outputs. for cfg in (GLOBAL, COSTONLY): - s = ngc.sensitivity(g, 0, 2, ngc.QueryOptions(cfg, outputs=ALL_OUT)) - want = ngc.capacity(g, 0, 2, ngc.QueryOptions(cfg, outputs=ALL_OUT)) + s = ngc.evaluate_edge_failures( + g, 0, 2, ngc.EvaluationOptions(cfg, outputs=ALL_OUT) + ) + want = ngc.evaluate_demand(g, 0, 2, ngc.EvaluationOptions(cfg, outputs=ALL_OUT)) assert want.edge_flows is not None and want.residual is not None assert plain(s.baseline) == plain(want) @@ -818,17 +825,32 @@ def test_evaluator_options_and_results(): # output); the results have no public constructor. g = diamond() el = g.eligibility(excluded_edges=ids(g, [0])) - cache = ngc.DagCache(g) - for cls in (ngc.QueryOptions, ngc.QueryOptions): - o = cls(GLOBAL, elig=el, cache=cache, outputs=ngc.OutputOptions(residual=True)) + cache = ngc.ShortestPathCache(g) + for cls in (ngc.EvaluationOptions, ngc.EvaluationOptions): + o = cls( + GLOBAL, + eligibility=el, + cache=cache, + outputs=ngc.OutputOptions(residual=True), + ) assert ( - o.config.placement == GLOBAL.placement and o.elig is el and o.cache is cache + o.config.routing.source_allocation == GLOBAL.routing.source_allocation + and o.eligibility is el + and o.cache is cache ) out = o.outputs - assert (out.edge_flows, out.residual, out.bottleneck) == (False, True, False) + assert (out.edge_flows, out.residual, out.saturated_boundary_edges) == ( + False, + True, + False, + ) d = cls(COSTONLY) - assert d.elig is None and d.cache is None - assert (d.outputs.edge_flows, d.outputs.residual, d.outputs.bottleneck) == ( + assert d.eligibility is None and d.cache is None + assert ( + d.outputs.edge_flows, + d.outputs.residual, + d.outputs.saturated_boundary_edges, + ) == ( False, False, False, @@ -844,22 +866,27 @@ def test_explicit_workers_win_over_the_environment(monkeypatch): monkeypatch.setenv("NGRAPH_CORE_BATCH_THREADS", "4") monkeypatch.setenv("NGRAPH_CORE_SENSITIVITY_THREADS", "4") g = diamond(5, 3) - building = ngc.DagCache(g) - bopts = ngc.QueryOptions(COSTONLY, cache=building) - sopts = ngc.QueryOptions(COSTONLY, cache=building) - want = [r.placed for r in ngc.batch_capacity(g, [(0, 3), (1, 3)], bopts, workers=1)] + building = ngc.ShortestPathCache(g) + bopts = ngc.EvaluationOptions(COSTONLY, cache=building) + sopts = ngc.EvaluationOptions(COSTONLY, cache=building) + want = [ + r.call_delivered + for r in ngc.evaluate_pairs(g, [(0, 3), (1, 3)], bopts, workers=1) + ] assert want == [7, 5] - assert [r.placed for r in ngc.batch_capacity(g, [(0, 3), (1, 3)], bopts)] == want - base = plain(ngc.sensitivity(g, 0, 3, sopts, workers=1)) - assert plain(ngc.sensitivity(g, 0, 3, sopts)) == base + assert [ + r.call_delivered for r in ngc.evaluate_pairs(g, [(0, 3), (1, 3)], bopts) + ] == want + base = plain(ngc.evaluate_edge_failures(g, 0, 3, sopts, workers=1)) + assert plain(ngc.evaluate_edge_failures(g, 0, 3, sopts)) == base for call in ( - lambda: ngc.batch_capacity(g, [(0, 3)], bopts, workers=2), - lambda: ngc.sensitivity(g, 0, 3, sopts, workers=2), + lambda: ngc.evaluate_pairs(g, [(0, 3)], bopts, workers=2), + lambda: ngc.evaluate_edge_failures(g, 0, 3, sopts, workers=2), ): with pytest.raises(ValueError, match="unless workers == 1"): call() with pytest.raises(ValueError, match=exact("workers must be >= 1 (got 0)")): - ngc.sensitivity(g, 0, 3, ngc.QueryOptions(GLOBAL), workers=0) + ngc.evaluate_edge_failures(g, 0, 3, ngc.EvaluationOptions(GLOBAL), workers=0) def test_python_keeps_what_a_policy_and_an_option_need_alive(): @@ -867,29 +894,37 @@ def test_python_keeps_what_a_policy_and_an_option_need_alive(): # the ledger still reads its graph, and a policy still places on its ledger. Graphs of the # same shape are built in between, so the memory of a released value would be reused. g = diamond() - want = [g.capacity_units().tolist(), g.cost().tolist(), g.edge_dst().tolist()] + want = [ + g.edge_capacity_units().tolist(), + g.edge_costs().tolist(), + g.edge_destinations().tolist(), + ] ledger = ngc.FlowLedger(g) policy = ngc.FlowPolicy(ledger, 0, 3, COSTONLY) - opts = ngc.QueryOptions( - COSTONLY, elig=g.eligibility(excluded_edges=ids(g, [2])), cache=ngc.DagCache(g) + opts = ngc.EvaluationOptions( + COSTONLY, + eligibility=g.eligibility(excluded_edges=ids(g, [2])), + cache=ngc.ShortestPathCache(g), ) gc.collect() reused = [diamond(7, 9, 2) for _ in range(64)] - assert ngc.capacity(g, 0, 3, opts).placed == 5 # without the edge 0 -> 2 + assert ( + ngc.evaluate_demand(g, 0, 3, opts).call_delivered == 5 + ) # without the edge 0 -> 2 assert opts.cache.stats().misses == 1 # the call's lookup del g, opts gc.collect() reused += [diamond(7, 9, 2) for _ in range(64)] kept = ledger.graph() assert [ - kept.capacity_units().tolist(), - kept.cost().tolist(), - kept.edge_dst().tolist(), + kept.edge_capacity_units().tolist(), + kept.edge_costs().tolist(), + kept.edge_destinations().tolist(), ] == want del kept, ledger gc.collect() reused += [diamond(7, 9, 2) for _ in range(64)] - assert policy.place(10).placed == 7 # EqualBalanced over routes of 5 and 3: [4, 3] + assert policy.place(10).call_delivered == 7 # Equal over routes of 5 and 3: [4, 3] assert len(reused) == 192 @@ -915,7 +950,7 @@ def test_exception_classes_of_conversions(): # An index's own failure (a float's: test_placement_result_fields_and_outputs). with pytest.raises(_ConversionFailed): p.place(_FailingIndex()) - assert p.placed_demand() == 0 + assert p.delivered() == 0 @needs_hooks @@ -932,7 +967,7 @@ def test_python_publication_is_all_or_nothing(routing, traced): def make(): ledger = ngc.FlowLedger(g) policy = ngc.FlowPolicy(ledger, 0, 1, cfg) - assert policy.place(1).placed == 1 + assert policy.place(1).call_delivered == 1 def snapshot(): return [full_ledger_state(ledger), repr(policy._state())] @@ -949,72 +984,79 @@ def test_evaluator_results_survive_python_allocation_failures(): # completes returns what a clean call returns. g = diamond(5, 3) calls = [ - (ngc.capacity, (g, 0, 3, ngc.QueryOptions(GLOBAL))), - (ngc.batch_capacity, (g, [(0, 3), (1, 3)], ngc.QueryOptions(GLOBAL))), - (ngc.sensitivity, (g, 0, 3, ngc.QueryOptions(GLOBAL))), + (ngc.evaluate_demand, (g, 0, 3, ngc.EvaluationOptions(GLOBAL))), + (ngc.evaluate_pairs, (g, [(0, 3), (1, 3)], ngc.EvaluationOptions(GLOBAL))), + (ngc.evaluate_edge_failures, (g, 0, 3, ngc.EvaluationOptions(GLOBAL))), ] for fn, args in calls: # An evaluator keeps no state between calls: nothing to snapshot. failures = sweep_python_allocation(lambda fn=fn, args=args: (fn, args, list)) - assert failures >= 3, fn.__name__ # not vacuous: every result object allocates + # Not vacuous: the result objects allocate (their fields convert when read). + assert failures >= 1, fn.__name__ def test_batch_reports_the_lowest_failing_pair(): # The arguments first, then each pair completely in pair order, across the # Python/C++ boundary. g = build(2, [(0, 1, 3, 7)]) - opts = ngc.QueryOptions(GLOBAL) + opts = ngc.EvaluationOptions(GLOBAL) overlap = ( "node 0 is in both endpoint sets: sources and destinations must not overlap" ) out_of_range = "sources: node 2 out of node range [0, 2)" with pytest.raises(ValueError, match=exact(overlap)): - ngc.batch_capacity(g, [(0, 0), (2, 1)], opts, workers=2) + ngc.evaluate_pairs(g, [(0, 0), (2, 1)], opts, workers=2) with pytest.raises(ValueError, match=exact(out_of_range)): - ngc.batch_capacity(g, [(0, 1), (2, 1), (0, 0)], opts) + ngc.evaluate_pairs(g, [(0, 1), (2, 1), (0, 0)], opts) other = build(2, [(0, 1, 3, 7)]).eligibility() with pytest.raises( ValueError, - match=exact("foreign Eligibility: per_pair_elig[0] built for another graph"), + match=exact( + "foreign Eligibility: per_pair_eligibility[0] built for another graph" + ), ): - ngc.batch_capacity(g, [(0, 1), (2, 1)], opts, per_pair_elig=[other, None]) + ngc.evaluate_pairs( + g, [(0, 1), (2, 1)], opts, per_pair_eligibility=[other, None] + ) with pytest.raises( - TypeError, match=exact("per_pair_elig entries must be Eligibility or None") + TypeError, + match=exact("per_pair_eligibility entries must be Eligibility or None"), ): - ngc.batch_capacity(g, [(0, 1), (2, 1)], opts, per_pair_elig=[3, None]) + ngc.evaluate_pairs(g, [(0, 1), (2, 1)], opts, per_pair_eligibility=[3, None]) with pytest.raises(ValueError, match=exact(out_of_range)): - ngc.batch_capacity(g, [(0, 1), (2, 1)], opts, per_pair_elig=[None, 3]) + ngc.evaluate_pairs(g, [(0, 1), (2, 1)], opts, per_pair_eligibility=[None, 3]) # An argument error comes before every pair error. with pytest.raises(ValueError, match=exact("workers must be >= 1 (got 0)")): - ngc.batch_capacity(g, [(0, 0)], opts, workers=0) + ngc.evaluate_pairs(g, [(0, 0)], opts, workers=0) def test_batch_checks_an_explicit_empty_eligibility_list(): - # A given per_pair_elig has one entry per pair, also when it is empty. + # A given per_pair_eligibility has one entry per pair, also when it is empty. g = build(2, [(0, 1, 3, 7)]) - opts = ngc.QueryOptions(GLOBAL) + opts = ngc.EvaluationOptions(GLOBAL) with pytest.raises( - ValueError, match=exact("per_pair_elig has 0 entries for 1 pairs") + ValueError, match=exact("per_pair_eligibility has 0 entries for 1 pairs") ): - ngc.batch_capacity(g, [(0, 1)], opts, per_pair_elig=[]) - assert ngc.batch_capacity(g, [], opts, per_pair_elig=[]) == [] + ngc.evaluate_pairs(g, [(0, 1)], opts, per_pair_eligibility=[]) + assert ngc.evaluate_pairs(g, [], opts, per_pair_eligibility=[]) == [] assert [ - r.placed for r in ngc.batch_capacity(g, [(0, 1)], opts, per_pair_elig=[None]) + r.call_delivered + for r in ngc.evaluate_pairs(g, [(0, 1)], opts, per_pair_eligibility=[None]) ] == [3] def test_global_zero_call_reports_the_cumulative_curve(): - # Global's curve is cumulative (its amounts sum to placed_demand()); a zero call + # CentralizedTE's curve is cumulative (its amounts sum to delivered()); a zero call # reports it (None before the epoch's preparation and after remove()), changes nothing and # claims no cut, even when asked for one. g = build(2, [(0, 1, 3, 7)]) ledger = ngc.FlowLedger(g) p = ngc.FlowPolicy(ledger, 0, 1, GLOBAL) - assert p.place(0).cost_distribution is None - assert p.place(2).cost_distribution == [(7, 2)] + assert p.place(0).marginal_cost_curve is None + assert p.place(2).marginal_cost_curve == [(7, 2)] z = p.place(0, ALL_OUT) - assert (z.placed, z.cost_distribution, z.min_cut) == (0, [(7, 2)], None) + assert (z.call_delivered, z.marginal_cost_curve, z.min_cut) == (0, [(7, 2)], None) assert p.place(0, ngc.OutputOptions(min_cut=True)).min_cut is None # a zero call - assert p.placed_demand() == 2 and [int(x) for x in ledger.allocated()] == [2] + assert p.delivered() == 2 and [int(x) for x in ledger.carried()] == [2] p.remove() - assert p.place(0).cost_distribution is None + assert p.place(0).marginal_cost_curve is None diff --git a/tests/py/test_flow_policy_fixtures.py b/tests/py/test_flow_policy_fixtures.py index c19391e..4aeeafd 100644 --- a/tests/py/test_flow_policy_fixtures.py +++ b/tests/py/test_flow_policy_fixtures.py @@ -15,6 +15,23 @@ the policy's state as it was. Normalised on both sides: the flow core's operation counters and ledger uids. The replay reads the trace through the private hooks, so it is skipped without them. + +The data keeps the reference's own names; the replay maps them to the library's here and +nowhere else: the routing kinds ``CostOnly`` and ``Global`` build ``ShortestPaths`` and +``CentralizedTE`` (source allocation OPTIMIZED, the reference's only one); the configuration's +``placement`` and ``weights`` are ShortestPaths' ``allocation`` and ``weight_basis``, its +``selection`` ShortestPaths' route choice +(``Deterministic`` is FEWER_HOPS whatever the ``priority``, ``PreferHigherPriority`` with +``Residual``, ``Capacity`` or ``Headroom`` is HIGHER_AVAILABLE_CAPACITY, HIGHER_CAPACITY or +HIGHER_HEADROOM, ``multi_edge`` is ``parallel_edges``); ``elig`` is the policy's eligibility, ``volume`` the offer; a result's +``placed``, ``remaining``, ``call_drops``, ``call_source_loss``, ``source_loss``, ``drops`` and +``cost_distribution`` are ``call_delivered``, ``call_undelivered``, ``call_edge_drops``, +``call_source_drops``, ``source_drops``, ``edge_drops`` and ``marginal_cost_curve``, a source +row's last two entries ``source_drops`` and ``total_edge_drops``, the output ``bottleneck`` +``saturated_boundary_edges``; the ledger's ``allocated`` is ``carried()``; a record's ``owner``, +``bundle``, ``route_cost``, ``edges`` and ``drops`` are ``policy_id``, ``route``, +``min_route_cost``, ``edge_flows`` and ``edge_drops``; a graph's ``input_index`` is +``input_positions()``. """ from __future__ import annotations @@ -35,20 +52,17 @@ FIXTURES = json.loads(DATA.read_text())["fixtures"] PLACEMENT = { - "MaxFlow": ngc.FlowPlacement.MAX_FLOW, - "Weighted": ngc.FlowPlacement.WEIGHTED, - "EqualBalanced": ngc.FlowPlacement.EQUAL_BALANCED, + "MaxFlow": ngc.RouteAllocation.OPTIMIZED, + "Weighted": ngc.RouteAllocation.WEIGHTED, + "EqualBalanced": ngc.RouteAllocation.EQUAL, } ADMISSION = {"Lossless": ngc.Admission.LOSSLESS, "Lossy": ngc.Admission.LOSSY} ADMISSION_NAME = {v: k for k, v in ADMISSION.items()} -TIE = { - "Deterministic": ngc.EdgeTieBreak.DETERMINISTIC, - "PreferHigherPriority": ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, -} -PRIORITY = { - "Residual": ngc.EdgePriority.RESIDUAL, - "Capacity": ngc.EdgePriority.CAPACITY, - "Headroom": ngc.EdgePriority.HEADROOM, +PREFER = {"Deterministic": False, "PreferHigherPriority": True} +HIGHER = { + "Residual": ngc.RouteTieBreak.HIGHER_AVAILABLE_CAPACITY, + "Capacity": ngc.RouteTieBreak.HIGHER_CAPACITY, + "Headroom": ngc.RouteTieBreak.HIGHER_HEADROOM, } WEIGHTS = { "Capacity": ngc.WeightBasis.CAPACITY, @@ -95,54 +109,69 @@ def exactly(a, b): def build_graph(spec): g = build(spec["n"], spec["edges"], spec["q"]) - assert exactly(g.input_index().tolist(), spec["input_index"]) + assert exactly(g.input_positions().tolist(), spec["input_index"]) return g def config_of(g, c): r = c["routing"] kind = r["kind"] + sel = c["selection"] if kind == "CostOnly": - routing = ngc.CostOnly() + choice = {} + if sel is not None: + higher = HIGHER[ + sel["priority"] + ] # an unknown name fails here, even under Deterministic + choice = { + "tie_break": higher + if PREFER[sel["tie_break"]] + else ngc.RouteTieBreak.FEWER_HOPS, + "multipath": sel["multipath"], + "parallel_edges": sel["multi_edge"], + } + routing = ngc.ShortestPaths( + allocation=PLACEMENT[c["placement"]], + weight_basis=None if c.get("weights") is None else WEIGHTS[c["weights"]], + **choice, + ) elif kind == "Global": + assert sel is None, f"the data names a selection for {kind}" + assert c["placement"] is None and c.get("weights") is None, c support = r.get("support") - routing = ngc.Global(support=None if support is None else dag_of(g, support)) + routing = ngc.CentralizedTE( + source_allocation=ngc.SourceAllocation.OPTIMIZED, + support=None if support is None else dag_of(g, support), + ) else: raise AssertionError(f"the data names an unknown routing ({kind})") - sel = c["selection"] - return ngc.FlowPolicyConfig( - routing=routing, - placement=None if c["placement"] is None else PLACEMENT[c["placement"]], - admission=ADMISSION[c["admission"]], - selection=None - if sel is None - else ngc.PathSelection( - TIE[sel["tie_break"]], - PRIORITY[sel["priority"]], - sel["multipath"], - sel["multi_edge"], - ), - weights=None if c.get("weights") is None else WEIGHTS[c["weights"]], - ) + return ngc.FlowPolicyConfig(routing=routing, admission=ADMISSION[c["admission"]]) def result_json(r): out = { - "placed": r.placed, - "remaining": "inf" if r.remaining == math.inf else r.remaining, + "placed": r.call_delivered, + "remaining": "inf" if r.call_undelivered == math.inf else r.call_undelivered, "delivery_delta": r.delivery_delta, - "call_drops": [[e, x] for e, x in r.call_drops], - "call_source_loss": r.call_source_loss, + "call_drops": [[e, x] for e, x in r.call_edge_drops], + "call_source_loss": r.call_source_drops, "termination": r.termination.name.lower(), "routes_changed": r.routes_changed, "weights_changed": r.weights_changed, "requested": "inf" if r.requested == math.inf else r.requested, "admitted": r.admitted, "delivered": r.delivered, - "source_loss": r.source_loss, - "drops": [[e, x] for e, x in r.drops], + "source_loss": r.source_drops, + "drops": [[e, x] for e, x in r.edge_drops], "by_source": [ - [x.source, x.offered, x.admitted, x.delivered, x.source_loss, x.dropped] + [ + x.source, + x.offered, + x.admitted, + x.delivered, + x.source_drops, + x.total_edge_drops, + ] for x in r.by_source ], } @@ -150,10 +179,15 @@ def result_json(r): value = getattr(r, name) if value is not None: out[name] = value - if r.cost_distribution is not None: - out["cost_distribution"] = [[c, u] for c, u in r.cost_distribution] - for name in ("edge_flows", "residual", "bottleneck", "min_cut"): - value = getattr(r, name) + if r.marginal_cost_curve is not None: + out["cost_distribution"] = [[c, u] for c, u in r.marginal_cost_curve] + for name, attribute in ( + ("edge_flows", "edge_flows"), + ("residual", "residual"), + ("bottleneck", "saturated_boundary_edges"), + ("min_cut", "min_cut"), + ): + value = getattr(r, attribute) if value is not None: out[name] = [int(x) for x in value] return out @@ -162,21 +196,21 @@ def result_json(r): def ledger_json(fg): st = fg._state() return { - "allocated": [int(x) for x in fg.allocated()], + "allocated": [int(x) for x in fg.carried()], "residual": [int(x) for x in fg.residual()], "records": [ { "flow_id": r.flow_id[1], - "owner": r.owner, + "owner": r.policy_id, "sources": list(r.sources), "destinations": list(r.destinations), "admission": ADMISSION_NAME[r.admission], - "bundle": sorted(int(e) for e in r.bundle.via_edges()), - "route_cost": r.route_cost, + "bundle": sorted(int(e) for e in r.route.via_edges()), + "route_cost": r.min_route_cost, "offered": r.offered, "delivered": r.delivered, - "edges": [[e, x] for e, x in r.edges], - "drops": [[e, x] for e, x in r.drops], + "edges": [[e, x] for e, x in r.edge_flows], + "drops": [[e, x] for e, x in r.edge_drops], } for r in fg.records() ], @@ -237,14 +271,16 @@ def replay(fx, at=None): g = fg.graph() def construct(op=op, fg=fg, g=g): - elig = None + eligibility = None if op["elig"] is not None: - elig = g.eligibility( + eligibility = g.eligibility( excluded_nodes=op["elig"]["nodes"], excluded_edges=op["elig"]["edges"], ) cfg = config_of(g, op["config"]) - return ngc.FlowPolicy(fg, op["sources"], op["destinations"], cfg, elig) + return ngc.FlowPolicy( + fg, op["sources"], op["destinations"], cfg, eligibility + ) if op["error"]: with pytest.raises((ValueError, TypeError)): @@ -263,23 +299,23 @@ def construct(op=op, fg=fg, g=g): assert exactly(policy_json(pol), expect["policy"]), where continue assert kind == "place", where - volume = math.inf if op["volume"] == "inf" else op["volume"] + offer = math.inf if op["volume"] == "inf" else op["volume"] outputs = None if op["outputs"] is not None: e, r, b, m = op["outputs"] outputs = ngc.OutputOptions( - edge_flows=e, residual=r, bottleneck=b, min_cut=m + edge_flows=e, residual=r, saturated_boundary_edges=b, min_cut=m ) if op["error"]: before = policy_json(pol) with pytest.raises((ValueError, TypeError)): - pol.place(volume, outputs) + pol.place(offer, outputs) assert exactly(ledger_json(fg), expect["ledger"]), where # The reference records the ledger only; the policy's own state (requested, +inf, # the flows) must be as before the call too. assert exactly(policy_json(pol), before), where continue - r, trace = pol._place_traced(volume, outputs) + r, trace = pol._place_traced(offer, outputs) assert exactly(result_json(r), expect["result"]), where assert exactly(norm(trace), expect["trace"]), where assert exactly(ledger_json(fg), expect["ledger"]), where @@ -455,7 +491,7 @@ def test_every_other_replay_clause_reports_its_operation(monkeypatch): _corrupt(bad["graphs"][0]["input_index"], 0) assert _failure(bad) == ( None, - 'assert exactly(g.input_index().tolist(), spec["input_index"])', + 'assert exactly(g.input_positions().tolist(), spec["input_index"])', ) assert sections == { "place failed ledger", diff --git a/tests/py/test_getter_allocation.py b/tests/py/test_getter_allocation.py new file mode 100644 index 0000000..c986dbd --- /dev/null +++ b/tests/py/test_getter_allocation.py @@ -0,0 +1,186 @@ +"""Every property and repr of one value of every public class under Python allocation failure (the +private hook _fail_python_allocation): the k-th Python object allocation of the read fails, for +every k in turn, and the read either raises MemoryError or RuntimeError with no value, or returns +the value of a read without failure. A getter that casts a bound value through pybind11's unchecked +allocation crashes here instead. + +Each value's reads run in a child interpreter, so a crash fails this test instead of the session: +python -B test_getter_allocation.py NAME sweeps every read of one value and prints its count.""" + +from __future__ import annotations + +import os +import re +import subprocess +import sys + +if __name__ == "__main__": + sys.path.insert(0, os.path.dirname(os.path.abspath(__file__))) + +from helpers import build, dag_of +from private_hooks import needs_hooks + +import netgraph_core as ngc + + +def values(): + """One value of every public class with readable fields, by name.""" + inf = float("inf") + g = build(4, [(0, 1, 8, 1), (0, 2, 8, 1), (1, 3, 8, 1), (2, 3, 8, 1)]) + mask = g.eligibility(excluded_edges=[3]) + search = ngc.spf(g, 0, ngc.SpfOptions(ngc.Direction.FORWARD)) + path = ngc.ksp(g, 0, 3, ngc.KspOptions(1))[0][1] + wcmp = ngc.ShortestPaths( + allocation=ngc.RouteAllocation.WEIGHTED, + weight_basis=ngc.WeightBasis.EXPLICIT, + edge_weights=[1, 2, 1, 1], + ) + dte = ngc.DistributedTE(ngc.TunnelCount(2), cost_ceiling=ngc.CostStretch(1.5)) + t2 = ngc.CentralizedTE( + source_allocation=ngc.SourceAllocation.EQUAL, + support=dag_of(g, [0, 1, 2, 3]), + tunnel_count=ngc.TunnelCount(2), + prefer_headroom=True, + ) + controller = ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.OPTIMIZED) + ledger = ngc.FlowLedger(g) + cfg = ngc.FlowPolicyConfig(routing=wcmp) + policy = ngc.FlowPolicy(ledger, 0, 3, cfg) + result = policy.place( + 4, + ngc.OutputOptions( + edge_flows=True, residual=True, saturated_boundary_edges=True + ), + ) + t1_result = ngc.FlowPolicy( + ngc.FlowLedger(g), + 0, + 3, + ngc.FlowPolicyConfig(routing=dte, admission=ngc.Admission.LOSSY), + ).replace(6, design_demand=6, outputs=ngc.OutputOptions(edge_reservations=True)) + t2_result = ngc.FlowPolicy( + ngc.FlowLedger(g), 0, 3, ngc.FlowPolicyConfig(routing=t2) + ).replace(inf) + exact = ngc.FlowPolicy( + ngc.FlowLedger(g), 0, 3, ngc.FlowPolicyConfig(routing=controller) + ).place(inf, ngc.OutputOptions(min_cut=True)) + failures = ngc.evaluate_edge_failures( + g, 0, 3, ngc.EvaluationOptions(ngc.FlowPolicyConfig(routing=controller)), 1 + ) + cache = ngc.ShortestPathCache(g) + return { + "Graph": g, + "Eligibility": mask, + "SpfResult": search, + "PredecessorDAG": search.dag, + "Path": path, + "ShortestPaths": wcmp, + "DistributedTE": dte, + "CentralizedTE": t2, + "Pinned": ngc.Pinned(t1_result.program, black_holes=mask), + "TunnelCount": ngc.TunnelCount(2, up_to=True), + "AbsoluteCost": ngc.AbsoluteCost(3), + "CostStretch": ngc.CostStretch(1.2), + "FlowPolicyConfig": cfg, + "OutputOptions": ngc.OutputOptions(min_cut=True), + "EvaluationOptions": ngc.EvaluationOptions(cfg, eligibility=mask, offer=5), + "SpfOptions": ngc.SpfOptions( + ngc.Direction.FORWARD, + targets=[3], + tie_break=ngc.RouteTieBreak.HIGHER_CAPACITY, + multipath=False, + ), + "KspOptions": ngc.KspOptions(2, cost_ceiling=ngc.CostStretch(2)), + "FlowLedger": ledger, + "FlowRecord": ledger.records()[0], + "FlowPolicy": policy, + "PlacementResult": result, + "SourceFlow": result.by_source[0], + "PlacementResult.T1": t1_result, + "TunnelPlan.T1": t1_result.plan, + "Tunnel": t1_result.program.tunnels[0], + "TunnelFlow": t1_result.by_tunnel[0], + "PlacementResult.T2": t2_result, + "TunnelPlan.T2": t2_result.plan, + "PlacementResult.exact": exact, + "ForwardingProgram": ngc.ForwardingProgram.from_dag( + g, [0], [3], dag_of(g, [0, 1, 2, 3]) + ), + "RouteDefinition": ngc.RouteDefinition(0, path, weight=2), + "SensitivityResult": failures, + "SensitivityEntry": failures.entries[0], + "ShortestPathCache": cache, + "ShortestPathCache.Stats": cache.stats(), + } + + +def reads(value): + cls = type(value) + names = sorted( + n + for n in dir(cls) + if not n.startswith("_") and isinstance(getattr(cls, n), property) + ) + return names + ["__repr__"] + + +def shown(value): + # A bound value without its own repr prints its address, which a fresh wrapper changes. + return re.sub(r" at 0x[0-9a-f]+", "", repr(value)) + + +def sweep(name): + """Every read of values()[name] with each of its Python allocations failing in turn; returns + the failures injected.""" + import _netgraph_core as ext + + value = values()[name] + injected = 0 + for attr in reads(value): + if attr == "__repr__": + + def read(): + return repr(value) + + else: + + def read(attr=attr): + return getattr(value, attr) + + read() # the interpreter's first-use allocations belong to no binding + want = shown(read()) + for k in range(600): + hit, _, got, error = ext._fail_python_allocation(read, (), k) + if not hit: + assert error is None and shown(got) == want, (name, attr, k, error) + break + injected += 1 + assert got is None and isinstance(error, (MemoryError, RuntimeError)), ( + name, + attr, + k, + repr(error), + ) + else: + raise AssertionError((name, attr, "no completing read in 600 allocations")) + return injected + + +if __name__ == "__main__": + print(sweep(sys.argv[1])) + sys.exit(0) + + +@needs_hooks +def test_every_read_survives_python_allocation_failures(): + failed = [] + for name in values(): + done = subprocess.run( + [sys.executable, "-B", os.path.abspath(__file__), name], + capture_output=True, + text=True, + timeout=300, + ) + if done.returncode != 0 or int(done.stdout.split()[-1]) < 1: + failed.append((name, done.returncode, done.stderr[-300:])) + assert failed == [] diff --git a/tests/py/test_graph.py b/tests/py/test_graph.py index 19e56b7..216be4a 100644 --- a/tests/py/test_graph.py +++ b/tests/py/test_graph.py @@ -12,7 +12,7 @@ import netgraph_core as ngc -# (u, v, capacity_units, cost) in input order. +# (u, v, capacity in units, cost) in input order. EDGES = [ (2, 0, 5, 3), (0, 2, 4, 2), @@ -24,28 +24,28 @@ ] -def test_edge_id_order_and_input_index(): +def test_edge_id_order_and_input_positions(): g = build(3, EDGES) order = sorted( range(len(EDGES)), key=lambda i: (EDGES[i][0], EDGES[i][3], EDGES[i][1], i) ) - assert g.input_index().tolist() == order == [5, 2, 4, 1, 3, 6, 0] - assert g.row_offsets().tolist() == [0, 4, 5, 7] - assert g.edge_src().tolist() == [EDGES[i][0] for i in order] - assert g.edge_dst().tolist() == [EDGES[i][1] for i in order] - assert g.capacity_units().tolist() == [EDGES[i][2] for i in order] - assert g.cost().tolist() == [EDGES[i][3] for i in order] + assert g.input_positions().tolist() == order == [5, 2, 4, 1, 3, 6, 0] + assert g.outgoing_offsets().tolist() == [0, 4, 5, 7] + assert g.edge_sources().tolist() == [EDGES[i][0] for i in order] + assert g.edge_destinations().tolist() == [EDGES[i][1] for i in order] + assert g.edge_capacity_units().tolist() == [EDGES[i][2] for i in order] + assert g.edge_costs().tolist() == [EDGES[i][3] for i in order] inv = np.empty(len(EDGES), dtype=np.int64) - inv[g.input_index()] = np.arange(len(EDGES)) - assert g.input_index()[inv].tolist() == list(range(len(EDGES))) - # Reverse CSR in (cost, src, input) order, as input positions. + inv[g.input_positions()] = np.arange(len(EDGES)) + assert g.input_positions()[inv].tolist() == list(range(len(EDGES))) + # Reverse CSR in (cost, source, input) order, as input positions. rev = [] - off, adj = g.in_row_offsets(), g.in_adj_edge_index() + off, adj = g.incoming_offsets(), g.incoming_edges() for v in range(3): - rev.append([int(g.input_index()[e]) for e in adj[off[v] : off[v + 1]]]) + rev.append([int(g.input_positions()[e]) for e in adj[off[v] : off[v + 1]]]) assert rev == [[0], [6, 2, 4], [5, 3, 1]] - assert g.max_cost() == 3 - assert g.cost_gcd() == 1 + assert g.max_edge_cost() == 3 + assert g.edge_cost_gcd() == 1 assert g.num_nodes() == 3 and g.num_edges() == 7 assert g.resolution() == 1.0 @@ -60,16 +60,16 @@ def test_numpy_integer_inputs_and_exact_large_units(): np.array([2, 1], dtype=np.uint64), 2.0**-12, ) - assert g.capacity_units().tolist() == [7, big] + assert g.edge_capacity_units().tolist() == [7, big] assert g.resolution() == 2.0**-12 def test_empty_and_isolated(): g = ngc.Graph(0, [], [], [], [], 1) - assert g.row_offsets().tolist() == [0] and g.in_row_offsets().tolist() == [0] - assert g.max_cost() == 0 and g.cost_gcd() == 0 + assert g.outgoing_offsets().tolist() == [0] and g.incoming_offsets().tolist() == [0] + assert g.max_edge_cost() == 0 and g.edge_cost_gcd() == 0 h = ngc.Graph(3, [], [], [], [], 1) - assert h.row_offsets().tolist() == [0, 0, 0, 0] + assert h.outgoing_offsets().tolist() == [0, 0, 0, 0] def test_uids_are_distinct(): @@ -105,42 +105,45 @@ def test_resolution_has_no_default(): # The unit values. ( (2, [0], [1], [-1], [1], 1), - "capacity_units[0] = -1 is outside the units domain [0, 2^62)", + "edge_capacity_units[0] = -1 is outside the units domain [0, 2^62)", ), ( (2, [0], [1], [L62], [1], 1), - "capacity_units[0] = 4611686018427387904 is outside the units domain [0, 2^62)", + "edge_capacity_units[0] = 4611686018427387904 is outside the units domain [0, 2^62)", ), ( (2, [0], [1], [1.0], [1], 1), - "capacity_units[0] must be an integer (got float)", + "edge_capacity_units[0] must be an integer (got float)", ), ( (2, [0], [1], np.array([1.5]), [1], 1), - "capacity_units entries must be integers (got dtype float64)", + "edge_capacity_units entries must be integers (got dtype float64)", ), ( (2, [0], [1], [True], [1], 1), - "capacity_units[0] must be an integer (got bool)", + "edge_capacity_units[0] must be an integer (got bool)", ), # The shapes. ((-1, [], [], [], [], 1), "num_nodes = -1 is out of range [0, 2147483647]"), ((2.0, [0], [1], [1], [1], 1), "num_nodes must be an integer (got float)"), ( (2, [0, 1], [1], [1], [1], 1), - "src, dst, capacity_units and cost must have the same length (got 2, 1, 1, 1)", + "edge_sources, edge_destinations, edge_capacity_units and edge_costs must have the same length (got 2, 1, 1, 1)", ), ( (2, [0], [1], [1, 1], [1], 1), - "src, dst, capacity_units and cost must have the same length (got 1, 1, 2, 1)", + "edge_sources, edge_destinations, edge_capacity_units and edge_costs must have the same length (got 1, 1, 2, 1)", ), # Zero, negative and non-integer costs. - ((2, [0], [1], [1], [0], 1), "cost[0] = 0: costs must be positive (cost >= 1)"), + ( + (2, [0], [1], [1], [0], 1), + "edge_costs[0] = 0: costs must be positive (edge_costs >= 1)", + ), ( (2, [0], [1], [1], [-3], 1), - "cost[0] = -3: costs must be positive (cost >= 1)", + "edge_costs[0] = -3: costs must be positive (edge_costs >= 1)", ), - ((2, [0], [1], [1], [1.5], 1), "cost[0] must be an integer (got float)"), + ((2, [0], [1], [1], [1.5], 1), "edge_costs[0] must be an integer (got float)"), # The remaining bounds. ( (2, [0], [2], [1], [1], 1), @@ -162,26 +165,30 @@ def test_validation_errors(args, message): def test_validation_order(): - # The unit values before the shapes (the length message names capacity_units too), the + # The unit values before the shapes (the length message names edge_capacity_units too), the # shapes before the costs, the costs before the remaining bounds (endpoints and sums). with pytest.raises( ValueError, - match=exact("capacity_units[0] = -1 is outside the units domain [0, 2^62)"), + match=exact( + "edge_capacity_units[0] = -1 is outside the units domain [0, 2^62)" + ), ): ngc.Graph(2, [0, 1], [1], [-1], [1], 1) with pytest.raises( ValueError, match=exact( - "src, dst, capacity_units and cost must have the same length (got 2, 1, 1, 1)" + "edge_sources, edge_destinations, edge_capacity_units and edge_costs must have the same length (got 2, 1, 1, 1)" ), ): ngc.Graph(2, [0, 1], [1], [1], [0], 1) with pytest.raises( - ValueError, match=exact("cost[0] = 0: costs must be positive (cost >= 1)") + ValueError, + match=exact("edge_costs[0] = 0: costs must be positive (edge_costs >= 1)"), ): ngc.Graph(2, [0], [9], [1], [0], 1) with pytest.raises( - ValueError, match=exact("cost[0] = 0: costs must be positive (cost >= 1)") + ValueError, + match=exact("edge_costs[0] = 0: costs must be positive (edge_costs >= 1)"), ): ngc.Graph(2, [0, 0], [1, 1], [L62 // 2, L62 // 2], [0, 1], 1) with pytest.raises( @@ -218,8 +225,8 @@ def test_bounds_just_below_are_accepted(): g = ngc.Graph( 2, [0, 0], [1, 1], [L62 // 2, L62 // 2 - 1], [L62 // 2, L62 // 2 - 1], 1 ) - assert sum(int(x) for x in g.capacity_units()) == L62 - 1 - assert sum(int(x) for x in g.cost()) == L62 - 1 + assert sum(int(x) for x in g.edge_capacity_units()) == L62 - 1 + assert sum(int(x) for x in g.edge_costs()) == L62 - 1 def test_eligibility(): @@ -266,36 +273,36 @@ def test_eligibility(): # the C++ type (endpoints beyond int32, a cost beyond int64). ( (2, [2**31], [1], [1], [0], 1.0), - "cost[0] = 0: costs must be positive (cost >= 1)", + "edge_costs[0] = 0: costs must be positive (edge_costs >= 1)", ), ( (2, [-1], [1], [1], [0], 1.0), - "cost[0] = 0: costs must be positive (cost >= 1)", + "edge_costs[0] = 0: costs must be positive (edge_costs >= 1)", ), ( (2, [0], [2**31], [1], [-1], 1.0), - "cost[0] = -1: costs must be positive (cost >= 1)", + "edge_costs[0] = -1: costs must be positive (edge_costs >= 1)", ), ( (2, [0], [-(2**70)], [1], [-(2**70)], 1.0), - "cost[0] = -1180591620717411303424: costs must be positive (cost >= 1)", + "edge_costs[0] = -1180591620717411303424: costs must be positive (edge_costs >= 1)", ), ( (2, [0, 0], [1, 1], [1, 1], [2**63, 0], 1.0), - "cost[1] = 0: costs must be positive (cost >= 1)", + "edge_costs[1] = 0: costs must be positive (edge_costs >= 1)", ), # The unit values come before the costs, the resolution before everything. ( (2, [0], [1], [2**62], [0], 1.0), - "capacity_units[0] = 4611686018427387904 is outside the units domain [0, 2^62)", + "edge_capacity_units[0] = 4611686018427387904 is outside the units domain [0, 2^62)", ), ( (2, [0], [1], [2**64], [0], 1.0), - "capacity_units[0] = 18446744073709551616 is outside the units domain [0, 2^62)", + "edge_capacity_units[0] = 18446744073709551616 is outside the units domain [0, 2^62)", ), ( (2, [0], [1], [-(2**70)], [0], 1.0), - "capacity_units[0] = -1180591620717411303424 is outside the units domain [0, 2^62)", + "edge_capacity_units[0] = -1180591620717411303424 is outside the units domain [0, 2^62)", ), ( (2, [0], [1], [-1], [0], 3.0), @@ -347,7 +354,9 @@ def test_validation_independent_of_representation(): ngc.Graph(*args) messages.append(str(info.value)) assert ( - messages[0] == messages[1] == "cost[0] = 0: costs must be positive (cost >= 1)" + messages[0] + == messages[1] + == "edge_costs[0] = 0: costs must be positive (edge_costs >= 1)" ) with pytest.raises( ValueError, @@ -375,8 +384,18 @@ def test_eligibility_ids_checked_before_narrowing(): g.eligibility(excluded_nodes=[5], excluded_edges=[2**70]) -ARG_INDEX = {"src": 1, "dst": 2, "capacity_units": 3, "cost": 4} -VALID = {"src": 0, "dst": 1, "capacity_units": 1, "cost": 0} # the cost stays zero +ARG_INDEX = { + "edge_sources": 1, + "edge_destinations": 2, + "edge_capacity_units": 3, + "edge_costs": 4, +} +VALID = { + "edge_sources": 0, + "edge_destinations": 1, + "edge_capacity_units": 1, + "edge_costs": 0, +} # the cost stays zero @pytest.mark.parametrize("name", list(ARG_INDEX)) @@ -386,7 +405,7 @@ def test_array_rank_is_a_shape_defect_before_costs(name, ndim, cost): # The shape step checks rank 1 for every array argument before the # cost step, so a 2-D or 0-D array is reported before a zero or negative cost. args = [2, [0], [1], [1], [cost], 1.0] - value = cost if name == "cost" else VALID[name] + value = cost if name == "edge_costs" else VALID[name] bad = np.array(value, dtype=np.int64) args[ARG_INDEX[name]] = bad.reshape(1, 1) if ndim == 2 else bad pattern = exact(f"{name} must be a 1-D array (got {ndim} dimensions)") @@ -423,53 +442,59 @@ def test_shape_step_keeps_its_place_in_the_order(): with pytest.raises( ValueError, match=exact( - "capacity_units[0] = 4611686018427387904 is outside the units domain [0, 2^62)" + "edge_capacity_units[0] = 4611686018427387904 is outside the units domain [0, 2^62)" ), ): ngc.Graph(2, [0], [1], np.array([[2**62]], dtype=np.int64), [0], 1.0) with pytest.raises( ValueError, - match=exact("capacity_units[0] = -1 is outside the units domain [0, 2^62)"), + match=exact( + "edge_capacity_units[0] = -1 is outside the units domain [0, 2^62)" + ), ): ngc.Graph(2, [0], [1], np.array(-1, dtype=np.int64), [0], 1.0) with pytest.raises( ValueError, - match=exact("capacity_units[1] = -5 is outside the units domain [0, 2^62)"), + match=exact( + "edge_capacity_units[1] = -5 is outside the units domain [0, 2^62)" + ), ): ngc.Graph(2, [0], [1], [[1], -5], [0], 1.0) with pytest.raises( ValueError, - match=exact("capacity_units = -5 is outside the units domain [0, 2^62)"), + match=exact("edge_capacity_units = -5 is outside the units domain [0, 2^62)"), ): ngc.Graph(2, [0], [1], -5, [0], 1.0) # With valid values the misshapen capacity is a shape defect, before the costs. with pytest.raises( - ValueError, match=exact("capacity_units must be a 1-D array (got 2 dimensions)") + ValueError, + match=exact("edge_capacity_units must be a 1-D array (got 2 dimensions)"), ): ngc.Graph(2, [0], [1], np.array([[1]]), [0], 1.0) # Rank before lengths. with pytest.raises( - ValueError, match=exact("dst must be a 1-D array (got 2 dimensions)") + ValueError, + match=exact("edge_destinations must be a 1-D array (got 2 dimensions)"), ): ngc.Graph(2, [0, 1], np.array([[1, 0]]), [1, 1], [1, 1], 1.0) # A valid graph from 1-D arrays of every integer kind still builds. g = ngc.Graph( 2, np.array([0]), np.array([1], dtype=np.uint8), np.array([7]), (3,), 1.0 ) - assert g.capacity_units().tolist() == [7] + assert g.edge_capacity_units().tolist() == [7] def test_repeated_views_share_storage_and_refuse_write_access(): g = build(3, EDGES) for name in ( - "capacity_units", - "cost", - "edge_src", - "edge_dst", - "input_index", - "row_offsets", - "in_row_offsets", - "in_adj_edge_index", + "edge_capacity_units", + "edge_costs", + "edge_sources", + "edge_destinations", + "input_positions", + "outgoing_offsets", + "incoming_offsets", + "incoming_edges", ): a, b = getattr(g, name)(), getattr(g, name)() assert np.shares_memory(a, b), name @@ -479,14 +504,14 @@ def test_repeated_views_share_storage_and_refuse_write_access(): VIEW_DTYPES = { - "capacity_units": np.int64, - "cost": np.int64, - "edge_src": np.int32, - "edge_dst": np.int32, - "input_index": np.int32, - "row_offsets": np.int32, - "in_row_offsets": np.int32, - "in_adj_edge_index": np.int32, + "edge_capacity_units": np.int64, + "edge_costs": np.int64, + "edge_sources": np.int32, + "edge_destinations": np.int32, + "input_positions": np.int32, + "outgoing_offsets": np.int32, + "incoming_offsets": np.int32, + "incoming_edges": np.int32, } @@ -521,7 +546,7 @@ def test_every_view_keeps_its_graph_alive_and_refuses_write_access(n, edges): def _reference_layout(n, src, dst, cost): - # EdgeIds: (src, cost, dst, input); the reverse slots: (dst, cost, src, input). + # EdgeIds: (source, cost, destination, input); the reverse slots: (destination, cost, source, input). i = np.arange(len(src)) order = np.lexsort((i, dst, cost, src)) pos = np.empty_like(order) @@ -556,12 +581,12 @@ def test_construction_orders_match_a_reference(shape): src, dst, cap, cost = (a[order[::-1]] for a in (src, dst, cap, cost)) g = ngc.Graph(n, src, dst, cap, cost, 1) order, row, rev = _reference_layout(n, src, dst, cost) - assert g.input_index().tolist() == order.tolist() - assert g.row_offsets().tolist() == row.tolist() - assert g.in_adj_edge_index().tolist() == rev.tolist() + assert g.input_positions().tolist() == order.tolist() + assert g.outgoing_offsets().tolist() == row.tolist() + assert g.incoming_edges().tolist() == rev.tolist() assert ( - g.in_row_offsets().tolist() + g.incoming_offsets().tolist() == np.searchsorted(np.sort(dst), np.arange(n + 1)).tolist() ) - assert g.capacity_units().tolist() == cap[order].tolist() - assert g.max_cost() == (int(cost.max()) if e else 0) + assert g.edge_capacity_units().tolist() == cap[order].tolist() + assert g.max_edge_cost() == (int(cost.max()) if e else 0) diff --git a/tests/py/test_ksp.py b/tests/py/test_ksp.py index fbd8b30..d6cca12 100644 --- a/tests/py/test_ksp.py +++ b/tests/py/test_ksp.py @@ -4,21 +4,37 @@ from __future__ import annotations +from fractions import Fraction + +import numpy as np import pytest -from helpers import CHAIN, DET, PREFER, build, exact, sel, sweep_python_allocation +from helpers import ( + CHAIN, + FEWER, + HIGHER_CAP, + assert_read_only, + build, + exact, + sweep_python_allocation, +) from private_hooks import needs_hooks import netgraph_core as ngc def bgraph(n, rows): - """A graph from rows (u, v, capacity, cost), sorted by (src, cost, dst) first: that is the + """A graph from rows (u, v, capacity, cost), sorted by (source, cost, destination) first: that is the EdgeId order, so each EdgeId is the row's position in the sorted list.""" return build(n, sorted(rows, key=lambda r: (r[0], r[3], r[1]))) -def ksp(g, s, t, k, *, multi_edge=True, tie=DET, **kw): - return ngc.ksp(g, s, t, ngc.KspOptions(k, sel(tie, me=multi_edge), **kw)) +def ksp(g, s, t, k, *, parallel_edges=True, tie=FEWER, **kw): + return ngc.ksp( + g, + s, + t, + ngc.KspOptions(k, tie_break=tie, parallel_edges=parallel_edges, **kw), + ) def test_order_and_ceilings(): @@ -27,23 +43,27 @@ def test_order_and_ceilings(): assert [c for c, _ in got] == [3, 4, 4] assert all(isinstance(p, ngc.Path) and p.cost() == c for c, p in got) assert got[0][1].hops() == [[0], [2], [4]] - assert [c for c, _ in ksp(g, 0, 3, 8, max_path_cost=ngc.Stretch(1.0))] == [3] - assert [c for c, _ in ksp(g, 0, 3, 8, max_path_cost=ngc.Stretch(1.5))] == [3, 4, 4] - assert [c for c, _ in ksp(g, 0, 3, 8, max_path_cost=ngc.Absolute(3))] == [3] - assert ksp(g, 0, 3, 8, max_path_cost=ngc.Absolute(0)) == [] + assert [c for c, _ in ksp(g, 0, 3, 8, cost_ceiling=ngc.CostStretch(1.0))] == [3] + assert [c for c, _ in ksp(g, 0, 3, 8, cost_ceiling=ngc.CostStretch(1.5))] == [ + 3, + 4, + 4, + ] + assert [c for c, _ in ksp(g, 0, 3, 8, cost_ceiling=ngc.AbsoluteCost(3))] == [3] + assert ksp(g, 0, 3, 8, cost_ceiling=ngc.AbsoluteCost(0)) == [] assert len(ksp(g, 0, 3, 2)) == 2 - # The Stretch baseline is static: gating the middle edge drops the cost-3 path only. + # The CostStretch baseline is static: gating the middle edge drops the cost-3 path only. residual = [1, 1, 0, 1, 1] - assert ksp(g, 0, 3, 8, max_path_cost=ngc.Stretch(1.0), residual=residual) == [] + assert ksp(g, 0, 3, 8, cost_ceiling=ngc.CostStretch(1.0), residual=residual) == [] assert [c for c, _ in ksp(g, 0, 3, 8, residual=residual)] == [4, 4] excluded = g.eligibility([0], []) - assert ksp(g, 0, 3, 8, elig=excluded) == [] + assert ksp(g, 0, 3, 8, eligibility=excluded) == [] def test_expand_collapse_and_the_single_path(): pr = bgraph(3, [(0, 1, 1, 1), (0, 1, 1, 1), (1, 2, 1, 1), (1, 2, 1, 1)]) assert len(ksp(pr, 0, 2, 8)) == 4 - assert len(ksp(pr, 0, 2, 8, multi_edge=False)) == 1 + assert len(ksp(pr, 0, 2, 8, parallel_edges=False)) == 1 assert [p.hops() for _c, p in ksp(pr, 0, 2, 3)] == [ [[0], [2]], [[0], [3]], @@ -60,45 +80,50 @@ def test_expand_collapse_and_the_single_path(): (4, 5, 1, 1), ], ) - for tie in (DET, PREFER): + for tie in (FEWER, HIGHER_CAP): first = ksp(three, 0, 5, 1, tie=tie)[0][1] - single = sel(tie, mp=False) for direction, roots, targets in ( (ngc.Direction.FORWARD, 0, 5), (ngc.Direction.REVERSE, 5, 0), ): - r = ngc.spf( - three, roots, ngc.SpfOptions(direction, single, targets=targets) + options = ngc.SpfOptions( + direction, tie_break=tie, multipath=False, targets=targets ) + r = ngc.spf(three, roots, options) assert r.dag == first.to_dag() - # multipath is ignored: the same selection with multipath = False lists the same paths. + # ksp has no multipath field: k sets the number of paths. Every tie_break is valid with + # every parallel_edges (ksp always orders paths, so no tie rule is ineffective). + with pytest.raises(TypeError): + ngc.KspOptions(8, multipath=False) for g, t in ((pr, 2), (three, 5)): - for tie, me in ((DET, True), (PREFER, True), (DET, False)): - want = ngc.ksp(g, 0, t, ngc.KspOptions(8, sel(tie, me=me))) - assert want - assert ( - ngc.ksp(g, 0, t, ngc.KspOptions(8, sel(tie, mp=False, me=me))) == want - ) + for tie, pe in ((FEWER, True), (HIGHER_CAP, True), (FEWER, False)): + assert ksp(g, 0, t, 8, tie=tie, parallel_edges=pe) def test_ksp_validation_order(): # The residual's own checks are the shared ones of test_edge_amounts.py. g = bgraph(3, [(0, 1, 1, 1), (1, 2, 1, 1)]) other = bgraph(3, [(0, 1, 1, 1)]) - with pytest.raises(ValueError, match=exact("src: node 3 out of node range [0, 3)")): + with pytest.raises( + ValueError, match=exact("source: node 3 out of node range [0, 3)") + ): ksp(g, 3, 1, 1) with pytest.raises( - ValueError, match=exact("dst: node -1 out of node range [0, 3)") + ValueError, match=exact("destination: node -1 out of node range [0, 3)") ): ksp(g, 0, -1, 1) with pytest.raises( ValueError, - match=exact("dst: node 1180591620717411303424 out of node range [0, 3)"), + match=exact( + "destination: node 1180591620717411303424 out of node range [0, 3)" + ), ): ksp(g, 0, 2**70, 1) with pytest.raises( ValueError, - match=exact("node 1 is in both endpoint sets: src and dst must not overlap"), + match=exact( + "node 1 is in both endpoint sets: source and destination must not overlap" + ), ): ksp(g, 1, 1, 1) with pytest.raises(ValueError, match=exact("k must be >= 1 (got 0)")): @@ -111,59 +136,65 @@ def test_ksp_validation_order(): ksp(g, 0, 2, -(2**70)) with pytest.raises(ValueError, match=exact("k must be an integer (got float)")): ksp(g, 0, 2, 1.5) - absolute = "max_path_cost Absolute cost must be >= 0 (got -1)" - stretch = "max_path_cost Stretch factor must be finite and in [1, inf) (got {})" + absolute = "cost_ceiling AbsoluteCost cost must be >= 0 (got -1)" + stretch = "cost_ceiling CostStretch factor must be >= 1 (got {})" with pytest.raises(ValueError, match=exact(absolute)): - ksp(g, 0, 2, 1, max_path_cost=ngc.Absolute(-1)) - with pytest.raises(ValueError, match=exact(stretch.format("0.500000"))): - ksp(g, 0, 2, 1, max_path_cost=ngc.Stretch(0.5)) - with pytest.raises(ValueError, match=exact(stretch.format("nan"))): - ksp(g, 0, 2, 1, max_path_cost=ngc.Stretch(float("nan"))) + ksp(g, 0, 2, 1, cost_ceiling=ngc.AbsoluteCost(-1)) + with pytest.raises(ValueError, match=exact(stretch.format("1/2"))): + ksp(g, 0, 2, 1, cost_ceiling=ngc.CostStretch(0.5)) with pytest.raises( TypeError, - match=exact("max_path_cost must be Absolute, Stretch or None (got int)"), + match=exact("cost_ceiling must be AbsoluteCost, CostStretch or None"), ): - ksp(g, 0, 2, 1, max_path_cost=3) + ksp(g, 0, 2, 1, cost_ceiling=3) with pytest.raises( ValueError, match=exact("foreign Eligibility: built for another graph") ): - ksp(g, 0, 2, 1, elig=other.eligibility([], [0])) - # The order: the endpoints (src, dst, src == dst), k, the ceiling, the residual. - with pytest.raises(ValueError, match=exact("src: node 3 out of node range [0, 3)")): - ksp(g, 3, -1, 0, max_path_cost=ngc.Absolute(-1), residual=[9]) + ksp(g, 0, 2, 1, eligibility=other.eligibility([], [0])) + # The order: the endpoints (source, destination, source == destination), k, the ceiling, the residual. with pytest.raises( - ValueError, match=exact("dst: node -1 out of node range [0, 3)") + ValueError, match=exact("source: node 3 out of node range [0, 3)") ): - ksp(g, 0, -1, 0, max_path_cost=ngc.Absolute(-1), residual=[9]) + ksp(g, 3, -1, 0, cost_ceiling=ngc.AbsoluteCost(-1), residual=[9]) + with pytest.raises( + ValueError, match=exact("destination: node -1 out of node range [0, 3)") + ): + ksp(g, 0, -1, 0, cost_ceiling=ngc.AbsoluteCost(-1), residual=[9]) with pytest.raises( ValueError, - match=exact("node 2 is in both endpoint sets: src and dst must not overlap"), + match=exact( + "node 2 is in both endpoint sets: source and destination must not overlap" + ), ): - ksp(g, 2, 2, 0, max_path_cost=ngc.Absolute(-1), residual=[9]) + ksp(g, 2, 2, 0, cost_ceiling=ngc.AbsoluteCost(-1), residual=[9]) with pytest.raises(ValueError, match=exact("k must be >= 1 (got 0)")): - ksp(g, 0, 2, 0, max_path_cost=ngc.Absolute(-1), residual=[9]) + ksp(g, 0, 2, 0, cost_ceiling=ngc.AbsoluteCost(-1), residual=[9]) with pytest.raises(ValueError, match=exact(absolute)): - ksp(g, 0, 2, 1, max_path_cost=ngc.Absolute(-1), residual=[9]) + ksp(g, 0, 2, 1, cost_ceiling=ngc.AbsoluteCost(-1), residual=[9]) # A huge k lists every path (no error). assert len(ksp(g, 0, 2, 2**70)) == 1 - with pytest.raises( - TypeError, match=exact("KspOptions expected (got PathSelection)") - ): - ngc.ksp(g, 0, 2, sel()) + with pytest.raises(TypeError, match=exact("KspOptions expected (got SpfOptions)")): + ngc.ksp(g, 0, 2, ngc.SpfOptions(ngc.Direction.FORWARD)) + with pytest.raises(TypeError): + ngc.KspOptions() # k is explicit with pytest.raises(TypeError): - ngc.KspOptions(1) # k and selection are explicit + ngc.KspOptions(1, ngc.RouteTieBreak.FEWER_HOPS) # the route choice is keywords + for bad in (None, 0, "no"): + with pytest.raises(TypeError): + ngc.KspOptions(1, parallel_edges=bad) # KspOptions keeps its arguments as given (the same objects) and validates none of them: # ksp does, at the call, in the order above. - k, ceiling, residual = 2**70, ngc.Absolute(-1), [9] - o = ngc.KspOptions(k, sel(mp=False), max_path_cost=ceiling, residual=residual) - assert o.k is k and o.max_path_cost is ceiling and o.residual is residual - assert o.selection == sel(mp=False) and o.elig is None + k, ceiling, residual = 2**70, ngc.AbsoluteCost(-1), [9] + o = ngc.KspOptions(k, cost_ceiling=ceiling, residual=residual) + assert o.k is k and o.cost_ceiling is ceiling and o.residual is residual + assert (o.tie_break, o.parallel_edges, o.eligibility) == (FEWER, True, None) + assert_read_only(o, "k", "tie_break", "parallel_edges", "cost_ceiling") with pytest.raises( - ValueError, match=exact("max_path_cost Absolute cost must be >= 0 (got -1)") + ValueError, match=exact("cost_ceiling AbsoluteCost cost must be >= 0 (got -1)") ): ngc.ksp(g, 0, 2, o) with pytest.raises(ValueError, match=exact("k must be >= 1 (got 0)")): - ngc.ksp(g, 0, 2, ngc.KspOptions(0, sel(), max_path_cost=ceiling)) + ngc.ksp(g, 0, 2, ngc.KspOptions(0, cost_ceiling=ceiling)) def test_resolve_to_paths(): @@ -179,7 +210,7 @@ def test_resolve_to_paths(): (2, 3, 1, 1), ], ) - dag = ngc.PredDAG.from_csr( + dag = ngc.PredecessorDAG.from_csr( g, [0, 0, 2, 3, 6], [0, 0, 0, 0, 1, 2], [0, 1, 2, 3, 4, 5] ) grouped = ngc.resolve_to_paths(g, dag, 0, 3) @@ -190,11 +221,13 @@ def test_resolve_to_paths(): assert len(ngc.resolve_to_paths(g, dag, 0, 3, True, 2)) == 2 assert ngc.resolve_to_paths(g, dag, 3, 0) == [] other = bgraph(4, [(0, 1, 1, 1)]) - foreign = "foreign PredDAG: built for another graph" - overlap = "node 2 is in both endpoint sets: src and dst must not overlap" + foreign = "foreign PredecessorDAG: built for another graph" + overlap = "node 2 is in both endpoint sets: source and destination must not overlap" with pytest.raises(ValueError, match=exact(foreign)): ngc.resolve_to_paths(other, dag, 0, 3) - with pytest.raises(ValueError, match=exact("src: node 4 out of node range [0, 4)")): + with pytest.raises( + ValueError, match=exact("source: node 4 out of node range [0, 4)") + ): ngc.resolve_to_paths(g, dag, 4, 3) with pytest.raises(ValueError, match=exact(overlap)): ngc.resolve_to_paths(g, dag, 2, 2) @@ -206,21 +239,23 @@ def test_resolve_to_paths(): ngc.resolve_to_paths(g, dag, 0, 3, False, -(2**70)) # A count above INT64_MAX lists every walk (no error). assert len(ngc.resolve_to_paths(g, dag, 0, 3, True, 2**70)) == 4 - # Several defects: the DAG's graph, src, dst, src == dst, then max_paths. + # Several defects: the DAG's graph, source, destination, source == destination, then max_paths. with pytest.raises(ValueError, match=exact(foreign)): ngc.resolve_to_paths(other, dag, 9, -9, False, 0) - with pytest.raises(ValueError, match=exact("src: node 9 out of node range [0, 4)")): + with pytest.raises( + ValueError, match=exact("source: node 9 out of node range [0, 4)") + ): ngc.resolve_to_paths(g, dag, 9, -9, False, 0) with pytest.raises( - ValueError, match=exact("dst: node -9 out of node range [0, 4)") + ValueError, match=exact("destination: node -9 out of node range [0, 4)") ): ngc.resolve_to_paths(g, dag, 0, -9, False, 0) with pytest.raises(ValueError, match=exact(overlap)): ngc.resolve_to_paths(g, dag, 2, 2, False, 0) # A search's DAG resolves the same way from a reverse search: the two cost-2 paths (the # cost-5 edge is on no shortest path). - fw = ngc.spf(g, 0, ngc.SpfOptions(ngc.Direction.FORWARD, sel())).dag - rv = ngc.spf(g, 3, ngc.SpfOptions(ngc.Direction.REVERSE, sel())).dag + fw = ngc.spf(g, 0, ngc.SpfOptions(ngc.Direction.FORWARD)).dag + rv = ngc.spf(g, 3, ngc.SpfOptions(ngc.Direction.REVERSE)).dag forward = ngc.resolve_to_paths(g, fw, 0, 3) assert [(p.cost(), p.hops()) for p in forward] == [ (2, [[0, 1], [4]]), @@ -232,15 +267,102 @@ def test_resolve_to_paths(): @needs_hooks def test_python_result_lists_are_all_or_nothing(): # Every Python object allocation of the call fails once: the call raises (never crashes) - # and a clean retry gives the same list. + # and a clean retry gives the same list (resolve_to_paths: the four split paths of + # test_resolve_to_paths). g = bgraph(4, CHAIN) - opts = ngc.KspOptions(8, sel()) - dag = ngc.spf(g, 0, ngc.SpfOptions(ngc.Direction.FORWARD, sel())).dag + opts = ngc.KspOptions(8) + split = bgraph( + 4, + [ + (0, 1, 1, 1), + (0, 1, 1, 1), + (0, 2, 1, 1), + (0, 3, 1, 5), + (1, 3, 1, 1), + (2, 3, 1, 1), + ], + ) + dag = ngc.PredecessorDAG.from_csr( + split, [0, 0, 2, 3, 6], [0, 0, 0, 0, 1, 2], [0, 1, 2, 3, 4, 5] + ) for fn, args in ( (ngc.ksp, (g, 0, 3, opts)), - (ngc.resolve_to_paths, (g, dag, 0, 2, True)), + (ngc.resolve_to_paths, (split, dag, 0, 3, True)), ): failures = sweep_python_allocation( lambda fn=fn, args=args: (fn, args, list), 200 ) assert failures >= 3, fn.__name__ + + +def test_tie_order(): + # TRI (three parallel cost-1 links of capacities 4, 10, 100 and a cost-2 link of 50) with + # availability 4, 8, 5, 50: the cost-1 links in each rule's order, then the cost-2 link. + g = build(2, [(0, 1, 4, 1), (0, 1, 10, 1), (0, 1, 100, 1), (0, 1, 50, 2)]) + tie = ngc.RouteTieBreak + for t, want in ( + (tie.FEWER_HOPS, [0, 1, 2, 3]), + (tie.HIGHER_CAPACITY, [2, 1, 0, 3]), + (tie.HIGHER_AVAILABLE_CAPACITY, [1, 2, 0, 3]), + (tie.HIGHER_HEADROOM, [0, 1, 2, 3]), # 1, 4/5, 1/20 + ): + paths = ngc.ksp(g, 0, 1, ngc.KspOptions(4, tie_break=t, residual=[4, 8, 5, 50])) + assert [p.hops()[0][0] for _, p in paths] == want, t + assert [c for c, _ in paths] == [1, 1, 1, 2] + + +def test_stretch_examples(): + # KSP-stretch-boundary / -below: links of costs 5 (residual 0, so gated) and 6; the static + # baseline is 5. 1.2 is exactly 6/5 and admits cost 6 at equality; 11/10 does not. + # KSP-stretch-numpy / -numpy-equal: base 10^8 and np.float32(1.2), also exactly 6/5, reject + # 120000001 and admit 120000000 (the float's binary value would not separate them). + def paths(cost0, cost1, factor): + g = build(2, [(0, 1, 0, cost0), (0, 1, 10, cost1)]) + options = ngc.KspOptions( + 2, cost_ceiling=ngc.CostStretch(factor), residual=[0, 10] + ) + return [(c, [h[0] for h in p.hops()]) for c, p in ngc.ksp(g, 0, 1, options)] + + assert paths(5, 6, 1.2) == [(6, [1])] + assert paths(5, 6, Fraction(11, 10)) == [] + assert paths(10**8, 120000001, np.float32(1.2)) == [] + assert paths(10**8, 120000000, np.float32(1.2)) == [(120000000, [1])] + + +def test_stretch_below_one(): + # KSP-stretch-below-one and KSP-ceiling-before-residual: a factor below 1 is refused where the + # ceiling is checked, after k and before the residual; the lowest numerator too. + g = build(2, [(0, 1, 10, 5)]) + for factor, shown in ((Fraction(1, 2), "1/2"), (-(2**63), f"{-(2**63)}/1")): + text = f"cost_ceiling CostStretch factor must be >= 1 (got {shown})" + for residual in (None, [10], [99, 99]): + options = ngc.KspOptions( + 2, cost_ceiling=ngc.CostStretch(factor), residual=residual + ) + with pytest.raises(ValueError, match=exact(text)): + ngc.ksp(g, 0, 1, options) + with pytest.raises(ValueError, match=exact("k must be >= 1 (got 0)")): + ngc.ksp(g, 0, 1, ngc.KspOptions(0, cost_ceiling=ngc.CostStretch(0.5))) + + +def test_stretch_wide_products(): + # BIG(2^60): links of costs 2^60 and 2^60 + 1. With (2^60 + 1) / 2^60 both qualify (equality); + # with (2^61 + 1) / 2^61 only the first: (2^60 + 1) * 2^61 = 2^121 + 2^61 > (2^61 + 1) * 2^60. + c0 = 2**60 + g = build(2, [(0, 1, 1, c0), (0, 1, 1, c0 + 1)]) + for factor, want in ( + (Fraction(2**60 + 1, 2**60), [c0, c0 + 1]), + (Fraction(2**61 + 1, 2**61), [c0]), + ): + options = ngc.KspOptions(2, cost_ceiling=ngc.CostStretch(factor)) + assert [c for c, _ in ngc.ksp(g, 0, 1, options)] == want, factor + + +def test_stretch_max_components(): + # One link of cost 2^62 - 1 (c = c0) and the factor (2^63 - 1) / (2^63 - 2): the products stay + # below 2^125 and the path qualifies. + g = build(2, [(0, 1, 1, 2**62 - 1)]) + options = ngc.KspOptions( + 1, cost_ceiling=ngc.CostStretch(Fraction(2**63 - 1, 2**63 - 2)) + ) + assert [c for c, _ in ngc.ksp(g, 0, 1, options)] == [2**62 - 1] diff --git a/tests/py/test_ledger_projections.py b/tests/py/test_ledger_projections.py index c07fc5e..a927206 100644 --- a/tests/py/test_ledger_projections.py +++ b/tests/py/test_ledger_projections.py @@ -1,5 +1,5 @@ -"""The ledger's two projections through the binding (contract 10.1, 10.3): carried traffic -(allocated, residual) and the strict holds of T1 tunnels (reserved, unreserved), never added; +"""The ledger's two projections through the binding: carried traffic +(carried, residual) and the strict holds of T1 tunnels (reserved, unreserved), never added; their baselines, texts, removal, orphans, reset, copy, the policy's reservation output and records, imported programs and the bottleneck report.""" @@ -12,7 +12,7 @@ import netgraph_core as ngc LOSSY = ngc.Admission.LOSSY -HOLDS = ngc.OutputOptions(reservation_edge_flows=True) +HOLDS = ngc.OutputOptions(edge_reservations=True) def one10(): @@ -29,13 +29,13 @@ def t1(ledger, sources, dest, n, admission=None): def test_two_projections_of_one_link(): # Carried 4, held 6 on a link of 10: residual 6, unreserved 4; then replace(2, - # 6): placed 2, delivery_delta -2. + # 6): call_delivered 2, delivery_delta -2. fg = ngc.FlowLedger(one10()) p = t1(fg, 0, 1, 1) p.replace(4, design_demand=6) assert [ x.tolist() - for x in (fg.allocated(), fg.residual(), fg.reserved(), fg.unreserved()) + for x in (fg.carried(), fg.residual(), fg.reserved(), fg.unreserved()) ] == [ [4], [6], @@ -43,56 +43,71 @@ def test_two_projections_of_one_link(): [4], ] r = p.replace(2, design_demand=6) - assert (r.placed, r.delivery_delta) == (2, -2) + assert (r.call_delivered, r.delivery_delta) == (2, -2) def test_holds_are_never_added_to_carried_load(): - # After the T1 call (carried 4, held 6) a CostOnly policy places the residual 6 (not 10 - 4 - 6). + # After the T1 call (carried 4, held 6) a ShortestPaths policy places the residual 6 (not 10 - 4 - 6). fg = ngc.FlowLedger(one10()) t1(fg, 0, 1, 1).replace(4, design_demand=6) - assert ngc.FlowPolicy(fg, 0, 1, COSTONLY).place(10).placed == 6 + assert ngc.FlowPolicy(fg, 0, 1, COSTONLY).place(10).call_delivered == 6 def test_unreserved_texts(): # The reservation baseline is keyword-only, checked after the # residual's, with the residual baseline's messages under its own name. g = one10() - fg = ngc.FlowLedger(g, unreserved=[3]) + fg = ngc.FlowLedger(g, reservation_baseline=[3]) p = t1(fg, 0, 1, 1) r = p.replace(4, design_demand=4) - assert r.program.tunnels[0].status == ngc.TunnelStatus.NO_BANDWIDTH + assert r.program.tunnels[0].status == ngc.TunnelStatus.INSUFFICIENT_BANDWIDTH assert (fg.residual().tolist(), fg.unreserved().tolist()) == ([10], [3]) for bad, text in ( - ([3, 1], "unreserved has length 2, expected 1 (one entry per edge)"), - ([11], "unreserved[0] = 11 is outside [0, capacity_units[0] = 10]"), - ([-1], "unreserved[0] = -1 is outside [0, capacity_units[0] = 10]"), + ([3, 1], "reservation_baseline has length 2, expected 1 (one entry per edge)"), + ( + [11], + "reservation_baseline[0] = 11 is outside [0, edge_capacity_units[0] = 10]", + ), + ( + [-1], + "reservation_baseline[0] = -1 is outside [0, edge_capacity_units[0] = 10]", + ), ): with pytest.raises(ValueError, match=exact(text)): - ngc.FlowLedger(g, unreserved=bad) + ngc.FlowLedger(g, reservation_baseline=bad) with pytest.raises( ValueError, - match=exact("residual[0] = 11 is outside [0, capacity_units[0] = 10]"), + match=exact( + "service_baseline[0] = 11 is outside [0, edge_capacity_units[0] = 10]" + ), ): - ngc.FlowLedger(g, [11], unreserved=[11]) + ngc.FlowLedger(g, [11], reservation_baseline=[11]) with pytest.raises(TypeError): ngc.FlowLedger(g, [10], [3]) # unreserved is keyword-only - # The contract's two-edge cases. + # The two-edge cases. two = build(2, [(0, 1, 10, 1), (0, 1, 10, 1)]) with pytest.raises( ValueError, - match=exact("unreserved has length 3, expected 2 (one entry per edge)"), + match=exact( + "reservation_baseline has length 3, expected 2 (one entry per edge)" + ), ): - ngc.FlowLedger(two, unreserved=[1, 2, 3]) + ngc.FlowLedger(two, reservation_baseline=[1, 2, 3]) with pytest.raises( ValueError, - match=exact("unreserved[1] = 11 is outside [0, capacity_units[1] = 10]"), + match=exact( + "reservation_baseline[1] = 11 is outside [0, edge_capacity_units[1] = 10]" + ), ): - ngc.FlowLedger(two, unreserved=[5, 11]) - assert ngc.FlowLedger(two, unreserved=[10, 0]).unreserved().tolist() == [10, 0] + ngc.FlowLedger(two, reservation_baseline=[5, 11]) + assert ngc.FlowLedger(two, reservation_baseline=[10, 0]).unreserved().tolist() == [ + 10, + 0, + ] def test_snapshots_are_int64_copies(): - fg = ngc.FlowLedger(one10(), unreserved=np.array([7], dtype=np.int64)) + fg = ngc.FlowLedger(one10(), reservation_baseline=np.array([7], dtype=np.int64)) for snap in (fg.reserved, fg.unreserved): a = snap() assert a.dtype == np.int64 @@ -106,7 +121,7 @@ def test_remove_releases_both(): p = t1(fg, 0, 1, 1) p.replace(4, design_demand=6) p.remove() - assert (fg.reserved().tolist(), fg.allocated().tolist()) == ([0], [0]) + assert (fg.reserved().tolist(), fg.carried().tolist()) == ([0], [0]) assert p.program is None and p.records() == [] p.remove() assert fg.reserved().tolist() == [0] @@ -114,7 +129,7 @@ def test_remove_releases_both(): def test_orphans_reset_and_copy(): # Holds of a policy dropped without remove() stay as orphans, readable; reset() clears - # them; reset(unreserved=...) sets the reservation baseline; a copy keeps holds and records. + # them; reset(reservation_baseline=...) sets the reservation baseline; a copy keeps holds and records. g = one10() fg = ngc.FlowLedger(g) p = t1(fg, 0, 1, 1) @@ -125,44 +140,46 @@ def test_orphans_reset_and_copy(): fg.reset() del p assert fg.reserved().tolist() == [6] - assert [r.reserved_edges for r in fg.records()] == [[(0, 6)]] + assert [r.edge_reservations for r in fg.records()] == [[(0, 6)]] copy = fg.copy() assert copy.uid() != fg.uid() assert ledger_state(copy) == ledger_state(fg) fg.reset() assert (fg.reserved().tolist(), fg.records()) == ([0], []) assert copy.reserved().tolist() == [6] - fg.reset(unreserved=[3]) + fg.reset(reservation_baseline=[3]) assert (fg.unreserved().tolist(), fg.residual().tolist()) == ([3], [10]) fg.reset([7]) assert (fg.unreserved().tolist(), fg.residual().tolist()) == ([10], [7]) with pytest.raises( ValueError, - match=exact("unreserved[0] = 11 is outside [0, capacity_units[0] = 10]"), + match=exact( + "reservation_baseline[0] = 11 is outside [0, edge_capacity_units[0] = 10]" + ), ): - fg.reset(unreserved=[11]) + fg.reset(reservation_baseline=[11]) assert fg.residual().tolist() == [7] # a failed reset changes nothing def test_reservation_output_and_record_holds(): - # The 6.6 policy's holds per edge [0, 6] and per record (tunnels 1 and 3 hold 3 on e1); - # a CostOnly policy's reservation output is zeros. + # The TWOH call's policy's holds per edge [0, 6] and per record (tunnels 1 and 3 hold 3 on e1); + # a ShortestPaths policy's reservation output is zeros. fg = ngc.FlowLedger(twoh(2, 10)) p = t1(fg, [0, 1], 2, 2, LOSSY) r = p.replace(12, design_demand=12, outputs=HOLDS) - assert r.reservation_edge_flows.tolist() == [0, 6] - assert r.reservation_edge_flows.dtype == np.int64 + assert r.edge_reservations.tolist() == [0, 6] + assert r.edge_reservations.dtype == np.int64 recs = p.records() - assert [rec.reserved_edges for rec in recs] == [[], [(1, 3)], [], [(1, 3)]] + assert [rec.edge_reservations for rec in recs] == [[], [(1, 3)], [], [(1, 3)]] held = [0, 0] for rec in recs: - for e, x in rec.reserved_edges: + for e, x in rec.edge_reservations: held[e] += x assert held == fg.reserved().tolist() c = ngc.FlowPolicy(ngc.FlowLedger(twoh(2, 10)), [0, 1], 2, COSTONLY) - assert c.place(4, HOLDS).reservation_edge_flows.tolist() == [0, 0] + assert c.place(4, HOLDS).edge_reservations.tolist() == [0, 0] assert r.residual is None # only what is requested - assert p.replace(12, design_demand=12).reservation_edge_flows is None + assert p.replace(12, design_demand=12).edge_reservations is None def test_imported_programs_book_nothing(): @@ -176,17 +193,19 @@ def test_imported_programs_book_nothing(): fg, [0, 1], 2, ngc.FlowPolicyConfig(routing=ngc.Pinned(prog), admission=LOSSY) ) r = pin.replace(12, outputs=HOLDS) - assert (r.reservation_edge_flows.tolist(), fg.reserved().tolist()) == ( + assert (r.edge_reservations.tolist(), fg.reserved().tolist()) == ( [0, 0], [0, 0], ) - assert all(rec.reserved_edges == [] for rec in pin.records()) + assert all(rec.edge_reservations == [] for rec in pin.records()) def test_bottleneck_reads_the_service_view_only(): # One link held whole (unreserved 0) carries nothing: no saturation is reported. fg = ngc.FlowLedger(one10()) p = t1(fg, 0, 1, 1) - r = p.replace(0, design_demand=10, outputs=ngc.OutputOptions(bottleneck=True)) + r = p.replace( + 0, design_demand=10, outputs=ngc.OutputOptions(saturated_boundary_edges=True) + ) assert fg.unreserved().tolist() == [0] - assert fg.bottleneck(0) == [] and r.bottleneck == [] + assert fg.saturated_boundary_edges(0) == [] and r.saturated_boundary_edges == [] diff --git a/tests/py/test_flow_core.py b/tests/py/test_min_cost_flow.py similarity index 85% rename from tests/py/test_flow_core.py rename to tests/py/test_min_cost_flow.py index 0a10b5d..bc17fbb 100644 --- a/tests/py/test_flow_core.py +++ b/tests/py/test_min_cost_flow.py @@ -1,4 +1,4 @@ -"""The private flow-core entry `_netgraph_core._place_global_units`: the payload +"""The private flow-core entry `_netgraph_core._solve_min_cost_flow`: the payload schema, the hand-derived witnesses, input validation and randomized certificates.""" from __future__ import annotations @@ -27,31 +27,31 @@ } -def allowed(elig): +def allowed(eligibility): """The certificate's masks of an Eligibility (None: everything allowed).""" - if elig is None: + if eligibility is None: return None, None - return elig.node_allowed(), elig.edge_allowed() + return eligibility.node_allowed(), eligibility.edge_allowed() -def solve(g, sources, dests, cap, view=None, elig=None): - view = g.capacity_units().tolist() if view is None else view - return core._place_global_units(g, view, sources, dests, elig, cap) +def solve(g, sources, dests, cap, view=None, eligibility=None): + view = g.edge_capacity_units().tolist() if view is None else view + return core._solve_min_cost_flow(g, view, sources, dests, eligibility, cap) def test_payload_schema(): g = build(4, CHAIN) p = solve(g, [0], [3], None) assert set(p) == { - "placed", - "cost_distribution", + "flow_value", + "marginal_cost_curve", "edge_flows", "min_cut", "potentials", "counters", } - assert type(p["placed"]) is int - assert all(type(c) is int and type(u) is int for c, u in p["cost_distribution"]) + assert type(p["flow_value"]) is int + assert all(type(c) is int and type(u) is int for c, u in p["marginal_cost_curve"]) assert isinstance(p["edge_flows"], list) and all( type(x) is int for x in p["edge_flows"] ) @@ -68,36 +68,38 @@ def test_payload_schema(): def test_chain_plus_bypasses(): g = build(4, CHAIN) one = solve(g, [0], [3], 1) - assert one["placed"] == 1 and one["cost_distribution"] == [[3, 1]] + assert one["flow_value"] == 1 and one["marginal_cost_curve"] == [[3, 1]] assert by_input(g, one["edge_flows"]) == [1, 1, 1, 0, 0] assert one["min_cut"] is None two = solve(g, [0], [3], 2) - assert two["cost_distribution"] == [[3, 1], [5, 1]] + assert two["marginal_cost_curve"] == [[3, 1], [5, 1]] assert by_input(g, two["edge_flows"]) == [1, 0, 1, 1, 1] - assert sorted(int(g.input_index()[e]) for e in two["min_cut"]) == [0, 3] + assert sorted(int(g.input_positions()[e]) for e in two["min_cut"]) == [0, 3] assert two["potentials"] == [0, 2, 3, 5] inf = solve(g, [0], [3], None) assert ( inf["edge_flows"] == two["edge_flows"] and inf["counters"]["dijkstra_runs"] == 3 ) for cap, p in ((1, one), (2, two), (None, inf)): - assert certify(g, g.capacity_units().tolist(), [0], [3], cap, p) == [] + assert certify(g, g.edge_capacity_units().tolist(), [0], [3], cap, p) == [] mask = g.eligibility(excluded_edges=[ids(g, [1])[0]]) - masked = solve(g, [0], [3], None, elig=mask) - assert masked["cost_distribution"] == [[4, 2]] - view = g.capacity_units().tolist() + masked = solve(g, [0], [3], None, eligibility=mask) + assert masked["marginal_cost_curve"] == [[4, 2]] + view = g.edge_capacity_units().tolist() assert certify(g, view, [0], [3], None, masked, *allowed(mask)) == [] # Every cost times a factor: the curve's costs and the potentials scale, the volumes, flows, # cut and operation counters do not. for factor in (2, 7, 1000003): scaled_g = build(4, [(u, v, c, w * factor) for u, v, c, w in CHAIN]) scaled = solve(scaled_g, [0], [3], 2) - assert scaled["cost_distribution"] == [[3 * factor, 1], [5 * factor, 1]] + assert scaled["marginal_cost_curve"] == [[3 * factor, 1], [5 * factor, 1]] assert scaled["potentials"] == [0, 2 * factor, 3 * factor, 5 * factor] - for key in ("placed", "edge_flows", "min_cut", "counters"): + for key in ("flow_value", "edge_flows", "min_cut", "counters"): assert scaled[key] == two[key], (factor, key) assert ( - certify(scaled_g, scaled_g.capacity_units().tolist(), [0], [3], 2, scaled) + certify( + scaled_g, scaled_g.edge_capacity_units().tolist(), [0], [3], 2, scaled + ) == [] ) @@ -106,8 +108,8 @@ def test_zero_cap_and_positive_cap_on_zero_view(): g = build(3, [(0, 1, 5, 1), (1, 2, 5, 1)]) z = solve(g, [0], [2], 0) assert z == { - "placed": 0, - "cost_distribution": [], + "flow_value": 0, + "marginal_cost_curve": [], "edge_flows": [0, 0], "min_cut": None, "potentials": [NEVER_REACHED] * 3, @@ -118,7 +120,9 @@ def test_zero_cap_and_positive_cap_on_zero_view(): p = solve(g, [0], [2], 4, view=zero_view) # The closure {0} is separated from 2 only by the edge 0 -> 1 of view 0 (id 0): it is the # cut, of value 0. - assert p["placed"] == 0 and p["min_cut"] == [0] and p["potentials"] == [0, -1, -1] + assert ( + p["flow_value"] == 0 and p["min_cut"] == [0] and p["potentials"] == [0, -1, -1] + ) assert p["counters"]["dijkstra_runs"] == 1 assert certify(g, zero_view, [0], [2], 4, p) == [] @@ -128,14 +132,14 @@ def test_legal_maximum_and_anycast(): g = build(2, [(0, 1, big, 1)]) p = solve(g, [0], [1], None) assert ( - p["placed"] == big - and p["cost_distribution"] == [[1, big]] + p["flow_value"] == big + and p["marginal_cost_curve"] == [[1, big]] and p["min_cut"] == [0] ) assert certify(g, [big], [0], [1], None, p) == [] a = build(3, [(0, 1, 1, 1), (0, 2, 1, 2)]) q = solve(a, [0], [1, 2], None) - assert q["placed"] == 2 and q["cost_distribution"] == [[1, 1], [2, 1]] + assert q["flow_value"] == 2 and q["marginal_cost_curve"] == [[1, 1], [2, 1]] assert q["potentials"] == [0, 2, 2] assert certify(a, [1, 1], [0], [1, 2], None, q) == [] five = solve(a, np.array([0, 0]), np.array([2, 1, 2]), np.int64(5)) @@ -151,7 +155,7 @@ def test_fresh_solve_uses_the_released_cheap_edge(): view = to_ids(g, [1, 1, 1]) p = solve(g, [0], [2], 1, view=view) assert by_input(g, p["edge_flows"]) == [1, 0, 1] - assert p["cost_distribution"] == [[2, 1]] + assert p["marginal_cost_curve"] == [[2, 1]] assert certify(g, view, [0], [2], 1, p) == [] @@ -187,12 +191,12 @@ def test_invalid_inputs(kwargs, message): "view": [5, 5], "sources": [0], "destinations": [2], - "elig": None, + "eligibility": None, "cap": 3, } call.update(kwargs) with pytest.raises(ValueError, match=exact(message)): - core._place_global_units(**call) + core._solve_min_cost_flow(**call) def test_foreign_eligibility_and_largest_cap(): @@ -201,15 +205,15 @@ def test_foreign_eligibility_and_largest_cap(): with pytest.raises( ValueError, match=exact("foreign Eligibility: built for another graph") ): - solve(g, [0], [2], 1, elig=h.eligibility()) - assert solve(g, [0], [2], (1 << 63) - 2)["placed"] == 5 + solve(g, [0], [2], 1, eligibility=h.eligibility()) + assert solve(g, [0], [2], (1 << 63) - 2)["flow_value"] == 5 -def kinds_of(sources, dests, view, g, cap, elig, excluded_nodes, p): +def kinds_of(sources, dests, view, g, cap, eligibility, excluded_nodes, p): """The kinds of case a certified solve with a positive flow belongs to (none for no flow): several sources or destinations, a view below the capacities, a cap that stopped the solve (no cut) or a maximum flow proved by its cut, an Eligibility, an excluded node.""" - if p["placed"] == 0: + if p["flow_value"] == 0: return [] return [ kind @@ -217,10 +221,10 @@ def kinds_of(sources, dests, view, g, cap, elig, excluded_nodes, p): ("positive", True), ("several sources", len(sources) > 1), ("several destinations", len(dests) > 1), - ("reduced view", view != g.capacity_units().tolist()), + ("reduced view", view != g.edge_capacity_units().tolist()), ("stopped by the cap", cap is not None and p["min_cut"] is None), ("maximum with its cut", bool(p["min_cut"])), - ("masked", elig is not None), + ("masked", eligibility is not None), ("node masked", bool(excluded_nodes)), ) if present @@ -255,23 +259,25 @@ def test_random_graphs_certified(): sources, dests = nodes[:ns], nodes[ns : ns + rng.randint(1, min(2, n - ns))] view = [ c if rng.random() < 0.7 else rng.randint(0, c) - for c in g.capacity_units().tolist() + for c in g.edge_capacity_units().tolist() ] cap = rng.choice([None, 0, 1, rng.randint(0, 6), (1 << 63) - 2]) - elig = None + eligibility = None excluded_nodes = [] if rng.random() < 0.4: excluded_nodes = [rng.randrange(n)] if rng.random() < 0.3 else [] - elig = g.eligibility( + eligibility = g.eligibility( excluded_nodes=excluded_nodes, excluded_edges=[rng.randrange(len(edges))] if rng.random() < 0.6 else [], ) - p = solve(g, sources, dests, cap, view=view, elig=elig) - fails = certify(g, view, sources, dests, cap, p, *allowed(elig)) + p = solve(g, sources, dests, cap, view=view, eligibility=eligibility) + fails = certify(g, view, sources, dests, cap, p, *allowed(eligibility)) assert fails == [], (edges, sources, dests, view, cap, fails) - for kind in kinds_of(sources, dests, view, g, cap, elig, excluded_nodes, p): + for kind in kinds_of( + sources, dests, view, g, cap, eligibility, excluded_nodes, p + ): kinds[kind] += 1 assert all(kinds[k] >= floors[k] for k in floors), kinds @@ -286,14 +292,14 @@ def test_random_larger_graphs_certified_by_the_independent_solver(): wide_chain = build(4, [(u, v, 4, w) for u, v, _c, w in CHAIN]) args = ( 4, - wide_chain.edge_src().tolist(), - wide_chain.edge_dst().tolist(), - wide_chain.cost().tolist(), - wide_chain.capacity_units().tolist(), + wide_chain.edge_sources().tolist(), + wide_chain.edge_destinations().tolist(), + wide_chain.edge_costs().tolist(), + wide_chain.edge_capacity_units().tolist(), ) assert independent_curve(*args, [0], [3]) == [(0, 0), (4, 12), (8, 32)] p = solve(wide_chain, [0], [3], None) - assert p["cost_distribution"] == [[3, 4], [5, 4]] + assert p["marginal_cost_curve"] == [[3, 4], [5, 4]] assert certify(wide_chain, args[4], [0], [3], None, p) == [] # Small graphs of 4 to 7 edges of capacity 1 or 2, with one or two sources and destinations # and most with some edges excluded (the certificate passes both solvers its sets and its @@ -380,23 +386,25 @@ def test_random_larger_graphs_certified_by_the_independent_solver(): sources, dests = nodes[:ns], nodes[ns : ns + rng.randint(1, min(2, n - ns))] view = [ c if rng.random() < 0.7 else rng.randint(0, c) - for c in g.capacity_units().tolist() + for c in g.edge_capacity_units().tolist() ] cap = rng.choice([None, 1, rng.randint(0, 20), (1 << 63) - 2]) - elig = None + eligibility = None excluded_nodes = [] if rng.random() < 0.4: excluded_nodes = [rng.randrange(n)] if rng.random() < 0.3 else [] - elig = g.eligibility( + eligibility = g.eligibility( excluded_nodes=excluded_nodes, excluded_edges=[rng.randrange(len(edges))], ) - p = solve(g, sources, dests, cap, view=view, elig=elig) - fails = certify(g, view, sources, dests, cap, p, *allowed(elig)) + p = solve(g, sources, dests, cap, view=view, eligibility=eligibility) + fails = certify(g, view, sources, dests, cap, p, *allowed(eligibility)) assert fails == [], (edges, sources, dests, view, cap, fails) - for kind in kinds_of(sources, dests, view, g, cap, elig, excluded_nodes, p): + for kind in kinds_of( + sources, dests, view, g, cap, eligibility, excluded_nodes, p + ): kinds[kind] += 1 - several = len(p["cost_distribution"]) > 1 + several = len(p["marginal_cost_curve"]) > 1 kinds["several augmentations"] += several kinds["cost factor above 1"] += several and factor > 1 assert all(kinds[k] >= floors[k] for k in floors), kinds @@ -413,11 +421,11 @@ def call(**kw): "view": [5, 5], "sources": [0], "destinations": [2], - "elig": None, + "eligibility": None, "cap": 3, } args.update(kw) - return core._place_global_units(g, **args) + return core._solve_min_cost_flow(g, **args) with pytest.raises( ValueError, match=exact("view has length 1, expected 2 (one entry per edge)") @@ -462,12 +470,12 @@ def test_entry_view_rank_is_checked_with_its_length(): with pytest.raises( ValueError, match=exact("view must be a 1-D array (got 0 dimensions)") ): - core._place_global_units(g, np.array(5), [0], [2], None, 3) + core._solve_min_cost_flow(g, np.array(5), [0], [2], None, 3) with pytest.raises( ValueError, match=exact("sources node ids must be a 1-D array (got 2 dimensions)"), ): - core._place_global_units(g, [5, 5], np.array([[0]]), [2], None, -1) + core._solve_min_cost_flow(g, [5, 5], np.array([[0]]), [2], None, -1) def test_certificate_rejects_mutated_payloads(): @@ -475,7 +483,7 @@ def test_certificate_rejects_mutated_payloads(): # breaks. These controls include payload shape and the destination potential # pi(t*) against the last curve cost, which the C++ certificate also checks. def rejected(g, cap, payload, mutate, dests=(1,), allowed=(None, None)): - view = g.capacity_units().tolist() + view = g.edge_capacity_units().tolist() assert certify(g, view, [0], list(dests), cap, payload, *allowed) == [] mutate(payload) return certify(g, view, [0], list(dests), cap, payload, *allowed) @@ -497,7 +505,10 @@ def rejected(g, cap, payload, mutate, dests=(1,), allowed=(None, None)): f"placed 1 != min(cap, F_max) {capacity} ({branch})", ] assert "curve moment differs from the flow cost" in rejected( - one, 2, solve(one, [0], [1], 2), lambda p: p.update(cost_distribution=[[6, 2]]) + one, + 2, + solve(one, [0], [1], 2), + lambda p: p.update(marginal_cost_curve=[[6, 2]]), ) assert rejected( one, None, solve(one, [0], [1], None), lambda p: p.update(min_cut=[]) @@ -507,18 +518,18 @@ def rejected(g, cap, payload, mutate, dests=(1,), allowed=(None, None)): # takes the exhaustive branch, capacity 4 the independent solver's. for capacity in (3, 4): single = build(2, [(0, 1, capacity, 7)]) - assert solve(single, [0], [1], None)["cost_distribution"] == [[7, capacity]] + assert solve(single, [0], [1], None)["marginal_cost_curve"] == [[7, capacity]] assert rejected( single, None, solve(single, [0], [1], None), - lambda p, c=capacity: p.update(cost_distribution=[[6, 0], [7, c]]), + lambda p, c=capacity: p.update(marginal_cost_curve=[[6, 0], [7, c]]), ) == ["curve volume not positive"] assert rejected( single, None, solve(single, [0], [1], None), - lambda p, c=capacity: p.update(cost_distribution=[[7, 1], [7, c - 1]]), + lambda p, c=capacity: p.update(marginal_cost_curve=[[7, 1], [7, c - 1]]), ) == ["curve costs not strictly increasing"] par = build(2, [(0, 1, 1, 1), (0, 1, 1, 3)]) # Same moment as [[1, 1], [3, 1]], the breakpoint at 1 omitted. @@ -526,7 +537,7 @@ def rejected(g, cap, payload, mutate, dests=(1,), allowed=(None, None)): par, None, solve(par, [0], [1], None), - lambda p: p.update(cost_distribution=[[2, 2]]), + lambda p: p.update(marginal_cost_curve=[[2, 2]]), ) anycast = build(3, [(0, 1, 1, 1), (0, 2, 1, 2)]) # Destination 1 lowered to 1 becomes pi(t*), so destination 2, which also receives, differs. @@ -571,7 +582,7 @@ def rejected(g, cap, payload, mutate, dests=(1,), allowed=(None, None)): # EdgeId 1 masked: the solve uses EdgeId 0; moving its unit to EdgeId 1 puts flow on the # ineligible edge at the same cost. mask = twin.eligibility(excluded_edges=[1]) - masked = solve(twin, [0], [1], None, elig=mask) + masked = solve(twin, [0], [1], None, eligibility=mask) assert masked["edge_flows"] == [1, 0] assert "flow on ineligible edge 1" in rejected( twin, @@ -582,7 +593,7 @@ def rejected(g, cap, payload, mutate, dests=(1,), allowed=(None, None)): ) # The chain 0 -> 1 -> 2 carries 2 units; one unit less out of node 1 leaves it unbalanced. chain = build(3, [(0, 1, 2, 1), (1, 2, 2, 1)]) - out_of_1 = 0 if int(chain.edge_src()[0]) == 1 else 1 + out_of_1 = 0 if int(chain.edge_sources()[0]) == 1 else 1 assert "conservation at 1" in rejected( chain, None, @@ -607,11 +618,11 @@ def rejected(g, cap, payload, mutate, dests=(1,), allowed=(None, None)): detour = build(4, [(0, 1, 1, 1), (1, 3, 4, 5), (1, 2, 4, 1), (2, 3, 4, 1)]) direct = [ 1 if (int(u), int(v)) in ((0, 1), (1, 3)) else 0 - for u, v in zip(detour.edge_src(), detour.edge_dst(), strict=True) + for u, v in zip(detour.edge_sources(), detour.edge_destinations(), strict=True) ] def costlier(p): - p.update(edge_flows=direct, cost_distribution=[[6, 1]]) + p.update(edge_flows=direct, marginal_cost_curve=[[6, 1]]) p["potentials"][3] = 6 assert rejected( @@ -623,7 +634,7 @@ def costlier(p): par4 = build(2, [(0, 1, 4, 2), (0, 1, 4, 4)]) def averaged(p): - p.update(cost_distribution=[[3, 8]]) + p.update(marginal_cost_curve=[[3, 8]]) p["potentials"][1] = 3 assert rejected(par4, None, solve(par4, [0], [1], None), averaged) == [ @@ -635,10 +646,10 @@ def test_certificate_rejects_every_other_clause(): # The clauses (and each condition of a clause with several) that the test above does not # reach, one control each, as in the C++ twin. A control expects the exact list where the # mutation can break one clause alone, else the clause it targets among those it also breaks. - def mutated(g, sources, dests, cap, mutate, elig=None): - view = g.capacity_units().tolist() - masks = allowed(elig) - payload = solve(g, sources, dests, cap, elig=elig) + def mutated(g, sources, dests, cap, mutate, eligibility=None): + view = g.edge_capacity_units().tolist() + masks = allowed(eligibility) + payload = solve(g, sources, dests, cap, eligibility=eligibility) assert certify(g, view, sources, dests, cap, payload, *masks) == [] mutate(payload) return certify(g, view, sources, dests, cap, payload, *masks) @@ -664,8 +675,8 @@ def potential(v, x): ] # The zero-cap payload, each of its fields alone (the counters are the test above's control). for field, value in ( - ("placed", 1), - ("cost_distribution", [[7, 1]]), + ("flow_value", 1), + ("marginal_cost_curve", [[7, 1]]), ("min_cut", []), ("edge_flows", [1]), ("potentials", [0, NEVER_REACHED]), @@ -711,10 +722,10 @@ def potential(v, x): ), pos # placed outside [0, cap]: above the cap, and negative without one. assert "placed outside [0, cap]" in mutated( - one, [0], [1], 1, lambda p: p.update(placed=2) + one, [0], [1], 1, lambda p: p.update(flow_value=2) ) assert "placed outside [0, cap]" in mutated( - one, [0], [1], None, lambda p: p.update(placed=-1) + one, [0], [1], None, lambda p: p.update(flow_value=-1) ) # The cut: present while cap 1 leaves the destination reachable, and its value (3) against # a lowered placed (which also breaks the value and the curve total). @@ -722,7 +733,7 @@ def potential(v, x): "min_cut on a connected solve" ] assert "cut value differs from placed" in mutated( - one, [0], [1], None, lambda p: p.update(placed=2) + one, [0], [1], None, lambda p: p.update(flow_value=2) ) # The potentials: node 1's (outside the closure) below the sentinel (also below pi(t*)), # the root's (the closure), and no destination potential at all although 3 units arrive @@ -752,7 +763,7 @@ def potential(v, x): # The curve total: a free tier of 1 before the real one keeps the moment (21) and pi(t*), # and the curve then also differs from the optimum at 1. assert mutated( - one, [0], [1], None, lambda p: p.update(cost_distribution=[[0, 1], [7, 3]]) + one, [0], [1], None, lambda p: p.update(marginal_cost_curve=[[0, 1], [7, 3]]) ) == [ "curve total differs from placed", "curve differs from the exhaustive optimum at 1", diff --git a/tests/py/test_native_allocation.py b/tests/py/test_native_allocation.py index 5e69ccf..df3f0e9 100644 --- a/tests/py/test_native_allocation.py +++ b/tests/py/test_native_allocation.py @@ -1,7 +1,7 @@ """Native allocation failures in the staged result constructions and in FlowLedger.reset: the -k-th C++ allocation of spf, ksp, resolve_to_paths, ForwardingProgram.from_routes, of the calls +k-th C++ allocation of spf, ksp, resolve_to_paths, ForwardingProgram.from_routes and from_dag, of the calls whose result objects are made before anything is published (place, evaluate, replace, forward, -capacity, batch_capacity, sensitivity) and of reset fails, +evaluate_demand, evaluate_pairs, evaluate_edge_failures) and of reset fails, for every k in turn (the private hook _fail_native_allocation). Every unabsorbed failure raises MemoryError, never aborts, leaves nothing it allocated behind and the observable state as it was. Standard-library optional buffers may absorb a failure; every successful call, including @@ -36,7 +36,6 @@ build, full_ledger_state, plain, - sel, stats_of, ) @@ -59,15 +58,15 @@ def graph(): POOLED_LOSSY = ngc.FlowPolicyConfig( - routing=ngc.CostOnly(), - placement=ngc.FlowPlacement.EQUAL_BALANCED, - admission=ngc.Admission.LOSSY, + routing=ngc.ShortestPaths(), admission=ngc.Admission.LOSSY +) +GLOBAL_EQUAL = ngc.FlowPolicyConfig( + routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.EQUAL) ) -GLOBAL_EQUAL = ngc.FlowPolicyConfig(routing=ngc.Global(), origin=ngc.Origin.EQUAL) def caps(g): - return [int(c) for c in g.capacity_units()] + return [int(c) for c in g.edge_capacity_units()] def epoch_state(policy): @@ -86,7 +85,7 @@ def stateless(call): def make(): g = graph() fn, args = call(g) - return fn, args, lambda: [caps(g), g.cost().tolist()] + return fn, args, lambda: [caps(g), g.edge_costs().tolist()] return make @@ -104,7 +103,7 @@ def snap(): records = [(r.flow_id[1], r.delivered) for r in policy.records()] return [ full_ledger_state(ledger), - policy.placed_demand(), + policy.delivered(), records, epoch_state(policy), ] @@ -115,7 +114,7 @@ def snap(): def exported(g, cfg=None, sources=0): - """A model's program on g (a Global optimized one by default), for Pinned.""" + """A model's program on g (a CentralizedTE optimized one by default), for Pinned.""" return ngc.FlowPolicy(ngc.FlowLedger(g), sources, 4, cfg or GLOBAL).place(6).program @@ -138,7 +137,7 @@ def snap(): records = [(r.flow_id[1], r.delivered) for r in policy.records()] return [ full_ledger_state(ledger), - policy.placed_demand(), + policy.delivered(), records, epoch_state(policy), plain(policy.program), @@ -168,13 +167,18 @@ def split_route_args(g): def call(*args): return ngc.ForwardingProgram.from_routes( *args, - placement=ngc.FlowPlacement.WEIGHTED, - weights=ngc.WeightBasis.RESIDUAL_SNAPSHOT, + allocation=ngc.RouteAllocation.WEIGHTED, + weight_basis=ngc.WeightBasis.RESIDUAL_SNAPSHOT, residual=residual, ) residual = half(g) - return call, (g, 0, 4, [ngc.Route(0, dag, weight=2), ngc.Route(0, tunnel)]) + return call, ( + g, + 0, + 4, + [ngc.RouteDefinition(0, dag, weight=2), ngc.RouteDefinition(0, tunnel)], + ) def split_route(g): @@ -196,11 +200,11 @@ def make(): def frozen_cache_capacity(): g = graph() - cache = ngc.DagCache(g) - ngc.capacity(g, 0, 4, ngc.QueryOptions(COSTONLY, cache=cache)) + cache = ngc.ShortestPathCache(g) + ngc.evaluate_demand(g, 0, 4, ngc.EvaluationOptions(COSTONLY, cache=cache)) cache.freeze() - opts = ngc.QueryOptions(COSTONLY, cache=cache, outputs=ALL_OUT) - return ngc.capacity, (g, 0, 4, opts), lambda: stats_of(cache) + opts = ngc.EvaluationOptions(COSTONLY, cache=cache, outputs=ALL_OUT) + return ngc.evaluate_demand, (g, 0, 4, opts), lambda: stats_of(cache) def with_orphan(call): @@ -220,12 +224,29 @@ def make(): return make +def pooled_dag_args(g): + """from_dag's arguments: sources 0 and 1 pooled on the reverse shortest-path DAG to node 4, + WEIGHTED with a snapshot of half the capacity; the DAG is made before the swept call.""" + dag = ngc.spf(g, 4, spf_opts(ngc.Direction.REVERSE)).dag + + def call(*args): + return ngc.ForwardingProgram.from_dag( + *args, + allocation=ngc.RouteAllocation.WEIGHTED, + weight_basis=ngc.WeightBasis.RESIDUAL_SNAPSHOT, + residual=residual, + ) + + residual = half(g) + return call, (g, [0, 1], 4, dag) + + def half(g): return [c // 2 for c in caps(g)] def spf_opts(direction=ngc.Direction.FORWARD, multipath=True, **kw): - return ngc.SpfOptions(direction, sel(mp=multipath), **kw) + return ngc.SpfOptions(direction, multipath=multipath, **kw) SCENARIOS = { @@ -240,7 +261,7 @@ def spf_opts(direction=ngc.Direction.FORWARD, multipath=True, **kw): lambda g: (ngc.spf, (g, 0, spf_opts(multipath=False, targets=4))) ), "ksp": stateless( - lambda g: (ngc.ksp, (g, 0, 4, ngc.KspOptions(4, sel(), residual=caps(g)))) + lambda g: (ngc.ksp, (g, 0, 4, ngc.KspOptions(4, residual=caps(g)))) ), "FlowLedger.reset": with_orphan(lambda fg: (fg.reset, (half(fg.graph()),))), "resolve_to_paths": stateless( @@ -250,36 +271,40 @@ def spf_opts(direction=ngc.Direction.FORWARD, multipath=True, **kw): "place.global": placement(GLOBAL, traced=False), "place_traced.global": placement(GLOBAL, traced=True), # Two sources: the pooled program's attribution and per-source rows, Lossy accounting, and - # the equal origin's bisection. + # the equal source allocation's bisection. "place.costonly_pooled_lossy": placement( POOLED_LOSSY, traced=False, sources=[0, 1] ), "place.global_equal": placement(GLOBAL_EQUAL, traced=False, sources=[0, 1]), - "batch_capacity.global_equal": stateless( + "evaluate_pairs.global_equal": stateless( lambda g: ( - ngc.batch_capacity, - (g, [([0, 1], 4), (1, 3)], ngc.QueryOptions(GLOBAL_EQUAL), None, 1), + ngc.evaluate_pairs, + (g, [([0, 1], 4), (1, 3)], ngc.EvaluationOptions(GLOBAL_EQUAL), None, 1), ) ), "capacity.global": stateless( lambda g: ( - ngc.capacity, - (g, 0, 4, ngc.QueryOptions(GLOBAL, outputs=ALL_OUT)), + ngc.evaluate_demand, + (g, 0, 4, ngc.EvaluationOptions(GLOBAL, outputs=ALL_OUT)), ) ), "capacity.frozen_cache": frozen_cache_capacity, - "batch_capacity.global": stateless( + "evaluate_pairs.global": stateless( lambda g: ( - ngc.batch_capacity, - (g, [(0, 4), (1, 3)], ngc.QueryOptions(GLOBAL), None, 1), + ngc.evaluate_pairs, + (g, [(0, 4), (1, 3)], ngc.EvaluationOptions(GLOBAL), None, 1), ) ), "sensitivity.global": stateless( - lambda g: (ngc.sensitivity, (g, 0, 4, ngc.QueryOptions(GLOBAL), 1)) + lambda g: ( + ngc.evaluate_edge_failures, + (g, 0, 4, ngc.EvaluationOptions(GLOBAL), 1), + ) ), # Forwarding programs: building one, every operation over one, black holes, a # support, and the evaluators over Pinned. "from_routes": stateless(split_route_args), + "from_dag": stateless(pooled_dag_args), "replace.pinned_tunnels_lossy": operation( pinned_cfg( exported, ngc.Admission.LOSSY, lambda g: g.eligibility(excluded_edges=[1]) @@ -290,7 +315,10 @@ def spf_opts(direction=ngc.Direction.FORWARD, multipath=True, **kw): "evaluate.global": operation(lambda g: GLOBAL, "evaluate"), "replace.global_support": operation( lambda g: ngc.FlowPolicyConfig( - routing=ngc.Global(support=ngc.spf(g, 0, spf_opts()).dag) + routing=ngc.CentralizedTE( + source_allocation=ngc.SourceAllocation.OPTIMIZED, + support=ngc.spf(g, 0, spf_opts()).dag, + ) ), "replace", ), @@ -303,14 +331,14 @@ def spf_opts(direction=ngc.Direction.FORWARD, multipath=True, **kw): ), "capacity.pinned_lossy": stateless( lambda g: ( - ngc.capacity, + ngc.evaluate_demand, ( g, 0, 4, - ngc.QueryOptions( + ngc.EvaluationOptions( pinned_cfg(exported, ngc.Admission.LOSSY)(g), - offered=6, + offer=6, outputs=ALL_OUT, ), ), @@ -321,11 +349,11 @@ def spf_opts(direction=ngc.Direction.FORWARD, multipath=True, **kw): lambda g: ngc.FlowPolicy(ngc.FlowLedger(g), 0, 4, GLOBAL).place(6), lambda r: r.program, ), - "FlowRecord.bundle": getter( + "FlowRecord.route": getter( lambda g: (lambda p: (p.place(6), p.records()[0])[1])( ngc.FlowPolicy(ngc.FlowLedger(g), 0, 4, COSTONLY) ), - lambda r: r.bundle, + lambda r: r.route, ), "Eligibility.intersect": getter( lambda g: ( @@ -336,8 +364,8 @@ def spf_opts(direction=ngc.Direction.FORWARD, multipath=True, **kw): ), "sensitivity.pinned": stateless( lambda g: ( - ngc.sensitivity, - (g, 0, 4, ngc.QueryOptions(pinned_cfg(exported)(g)), 1), + ngc.evaluate_edge_failures, + (g, 0, 4, ngc.EvaluationOptions(pinned_cfg(exported)(g)), 1), ) ), } @@ -378,7 +406,7 @@ def leaks(o): kept.append(ngc.spf(g, 0, o)) return ngc.spf(g, 0, o) - return leaks, (spf_opts(),), lambda: [caps(g), g.cost().tolist()] + return leaks, (spf_opts(),), lambda: [caps(g), g.edge_costs().tolist()] def replacing(g): @@ -410,7 +438,7 @@ def exits(o): os._exit(status) raise - return exits, (spf_opts(),), lambda: [caps(g), g.cost().tolist()] + return exits, (spf_opts(),), lambda: [caps(g), g.edge_costs().tolist()] return make @@ -432,7 +460,7 @@ def walks(): return ( ngc.resolve_to_paths, (g, dag, 0, 30, True), - lambda: [caps(g), g.cost().tolist()], + lambda: [caps(g), g.edge_costs().tolist()], ) @@ -442,7 +470,11 @@ def by_turn(call): def make(): g = graph() - return call(next(MADE), g), (spf_opts(),), lambda: [caps(g), g.cost().tolist()] + return ( + call(next(MADE), g), + (spf_opts(),), + lambda: [caps(g), g.edge_costs().tolist()], + ) return make @@ -577,7 +609,7 @@ def run_child(name): FEW = { "FlowLedger.reset": 3, "PlacementResult.program": 1, - "FlowRecord.bundle": 1, + "FlowRecord.route": 1, "Eligibility.intersect": 4, } diff --git a/tests/py/test_pooled.py b/tests/py/test_pooled.py index f577070..9c5f3ea 100644 --- a/tests/py/test_pooled.py +++ b/tests/py/test_pooled.py @@ -1,22 +1,22 @@ -"""Pooled CostOnly sources (docs/semantics.md, section 7): one split per shared router, -attribution to sources by highest averages, the equal origin's entry that cannot pass anything, +"""Pooled ShortestPaths sources (docs/semantics.md, section 7): one split per shared router, +attribution to sources by highest averages, the equal source allocation's entry that cannot pass anything, Lossy forwarding through a source, weights read once per epoch, the first-hop experiment, increments and epochs. The values are derived by hand; the random tests compare every field with the independent reference of -``origin_oracle.py`` and check that each source's record uses only its own route.""" +``source_allocation_oracle.py`` and check that each source's record uses only its own route.""" from __future__ import annotations import random import pytest -from helpers import build, dag_of, exact, sel -from origin_oracle import INF, PooledReference +from helpers import build, dag_of, exact, shortest +from source_allocation_oracle import INF, PooledReference import netgraph_core as ngc T = ngc.Termination -EB = ngc.FlowPlacement.EQUAL_BALANCED -W = ngc.FlowPlacement.WEIGHTED +EB = ngc.RouteAllocation.EQUAL +W = ngc.RouteAllocation.WEIGHTED SNAPSHOT = ngc.WeightBasis.RESIDUAL_SNAPSHOT LOSSY = ngc.Admission.LOSSY LOSSLESS = ngc.Admission.LOSSLESS @@ -35,13 +35,10 @@ RC = [(0, 1, 1, 1), (0, 1, 1, 1)] -def cfg(placement=EB, admission=LOSSLESS, selection=None, weights=None): +def cfg(allocation=EB, admission=LOSSLESS, routing=None, weight_basis=None): return ngc.FlowPolicyConfig( - routing=ngc.CostOnly(), - placement=placement, + routing=shortest(routing, allocation=allocation, weight_basis=weight_basis), admission=admission, - selection=selection, - weights=weights, ) @@ -52,16 +49,23 @@ def policy(edges, sources, dest, config, n=None, residual=None): def rows(r): - """by_source as (source, offered, admitted, delivered, source_loss, dropped) tuples.""" + """by_source as (source, offered, admitted, delivered, source_drops, dropped) tuples.""" return [ - (x.source, x.offered, x.admitted, x.delivered, x.source_loss, x.dropped) + ( + x.source, + x.offered, + x.admitted, + x.delivered, + x.source_drops, + x.total_edge_drops, + ) for x in r.by_source ] def records(p): """Per record: (its one source, its edges, its delivery).""" - return [(rec.sources, rec.edges, rec.delivered) for rec in p.records()] + return [(rec.sources, rec.edge_flows, rec.delivered) for rec in p.records()] def test_b_pooled(): @@ -70,7 +74,7 @@ def test_b_pooled(): # would take e2 (capacity 1) and only 1 would fit. _, _, p = policy(POOL, [0, 1], 3, cfg()) r = p.place(2, EDGES) - assert (r.placed, r.termination, r.edge_flows.tolist()) == ( + assert (r.call_delivered, r.termination, r.edge_flows.tolist()) == ( 2, T.COMPLETE, [1, 1, 1, 1], @@ -80,11 +84,15 @@ def test_b_pooled(): # 3 would give e2 two units: the unlimited request admits 2. _, _, p = policy(POOL, [0, 1], 3, cfg()) r = p.place(INF) - assert (r.placed, r.remaining, r.termination) == (2, INF, T.EXHAUSTED) + assert (r.call_delivered, r.call_undelivered, r.termination) == ( + 2, + INF, + T.EXHAUSTED, + ) assert (r.requested, r.unadmitted, r.offered) == (INF, None, None) # Capacity weights (1, 1) are equal: highest averages is the round robin. _, _, p = policy(POOL, [0, 1], 3, cfg(W)) - assert p.place(2).placed == 2 + assert p.place(2).call_delivered == 2 def test_lossy_attribution_by_arrivals(): @@ -93,9 +101,18 @@ def test_lossy_attribution_by_arrivals(): # H(1, [1, 1]) = [1, 0]: source 0 delivers 2, source 1 drops one unit on each. _, _, p = policy(POOL, [0, 1], 3, cfg(admission=LOSSY)) r = p.place(4) - assert (r.placed, r.termination, r.call_drops) == (2, T.COMPLETE, [(2, 1), (3, 1)]) + assert (r.call_delivered, r.termination, r.call_edge_drops) == ( + 2, + T.COMPLETE, + [(2, 1), (3, 1)], + ) assert rows(r) == [(0, 2, 2, 2, 0, 0), (1, 2, 2, 0, 0, 2)] - assert (r.offered, r.admitted, r.unadmitted, r.drops) == (4, 4, 0, [(2, 1), (3, 1)]) + assert (r.offered, r.admitted, r.unadmitted, r.edge_drops) == ( + 4, + 4, + 0, + [(2, 1), (3, 1)], + ) @pytest.mark.parametrize( @@ -108,18 +125,23 @@ def test_pooled_source_behind_a_zero_link(edges, lossless): # nothing: RR(1) gives source 0 the unit, RR(2) gives source 1 one. _, _, p = policy(edges, [0, 1], 2, cfg()) r = p.place(10) - assert (r.placed, r.termination) == (lossless, T.EXHAUSTED) + assert (r.call_delivered, r.termination) == (lossless, T.EXHAUSTED) assert [rec.delivered for rec in p.records()] == [lossless, 0] # The same with weights: a share without a usable route is not admitted. _, _, p = policy(edges, [0, 1], 2, cfg(W)) - assert p.place(10).placed == lossless + assert p.place(10).call_delivered == lossless def test_lossy_entry_that_cannot_pass(): # EB keeps the zero edge and drops source 0's 5 there. _, _, p = policy(B3Z, [0, 1], 2, cfg(admission=LOSSY)) r = p.place(10) - assert (r.placed, r.termination, r.call_drops, r.call_source_loss) == ( + assert ( + r.call_delivered, + r.termination, + r.call_edge_drops, + r.call_source_drops, + ) == ( 5, T.COMPLETE, [(0, 5)], @@ -128,26 +150,31 @@ def test_lossy_entry_that_cannot_pass(): # W gives the zero edge weight 0: source 0 has no member, its 5 is lost at the source. _, _, p = policy(B3Z, [0, 1], 2, cfg(W, LOSSY)) r = p.place(10) - assert (r.placed, r.termination, r.call_drops, r.call_source_loss) == ( + assert ( + r.call_delivered, + r.termination, + r.call_edge_drops, + r.call_source_drops, + ) == ( 5, T.COMPLETE, [], 5, ) assert rows(r) == [(0, 5, 5, 0, 5, 0), (1, 5, 5, 5, 0, 0)] - assert (r.offered, r.source_loss, r.delivered) == (10, 5, 5) + assert (r.offered, r.source_drops, r.delivered) == (10, 5, 5) -def test_equal_origin_limits_the_total(): +def test_equal_source_allocation_limits_the_total(): # RR(5, 2) = (3, 2) would put 3 on e0 (capacity 2): 4, rows (2, 2). _, _, p = policy(B1, [0, 1], 3, cfg()) r = p.place(12) - assert (r.placed, r.termination) == (4, T.EXHAUSTED) + assert (r.call_delivered, r.termination) == (4, T.EXHAUSTED) assert [x.delivered for x in r.by_source] == [2, 2] # Lossy offers (6, 6): source 0 drops 4 on e0. _, _, p = policy(B1, [0, 1], 3, cfg(admission=LOSSY)) r = p.place(12) - assert (r.placed, r.call_drops) == (8, [(0, 4)]) + assert (r.call_delivered, r.call_edge_drops) == (8, [(0, 4)]) def test_transit_through_a_source(): @@ -155,24 +182,24 @@ def test_transit_through_a_source(): # carried H(3, [5, 5]) = [2, 1]. _, _, p = policy(CHAIN, [0, 1], 2, cfg(admission=LOSSY)) r = p.place(10) - assert (r.placed, r.call_drops) == (3, [(0, 7)]) + assert (r.call_delivered, r.call_edge_drops) == (3, [(0, 7)]) assert rows(r) == [(0, 5, 5, 2, 0, 3), (1, 5, 5, 1, 0, 4)] assert records(p) == [([0], [(0, 2)], 2), ([1], [(0, 1), (1, 5)], 1)] # Lossless: e0 carries the whole total, so 3, as RR(3) = (2, 1). _, _, p = policy(CHAIN, [0, 1], 2, cfg()) r = p.place(INF) - assert (r.placed, [x.delivered for x in r.by_source]) == (3, [2, 1]) + assert (r.call_delivered, [x.delivered for x in r.by_source]) == (3, [2, 1]) # The first-hop experiment: source 0 injects e0's 3, source 1 e1's 10; node 0 adds # source 1's 10 of transit on e0: arrivals (3, 10), carried H(3, [3, 10]) = [0, 3]. _, _, p = policy(CHAIN, [0, 1], 2, cfg(admission=LOSSY)) r = p.place(INF) - assert (r.placed, r.termination, r.requested, r.offered) == ( + assert (r.call_delivered, r.termination, r.requested, r.offered) == ( 3, T.EXHAUSTED, INF, 13, ) - assert r.drops == [(0, 10)] + assert r.edge_drops == [(0, 10)] assert rows(r) == [(0, 3, 3, 0, 0, 3), (1, 10, 10, 3, 0, 7)] @@ -181,10 +208,10 @@ def test_residual_weights_on_the_common_view(): # router 2: H(12, [2, 10]) = (2, 10); RR(12) = (6, 6); each member attributed by highest # averages over what the sources still hold: e2 H(2, [6, 6]) = [1, 1], e3 H(10, [5, 5]). _, _, p = policy( - SNAP, [0, 1], 3, cfg(W, weights=SNAPSHOT), residual=[10, 10, 2, 10] + SNAP, [0, 1], 3, cfg(W, weight_basis=SNAPSHOT), residual=[10, 10, 2, 10] ) r = p.place(INF) - assert (r.placed, [x.delivered for x in r.by_source]) == (12, [6, 6]) + assert (r.call_delivered, [x.delivered for x in r.by_source]) == (12, [6, 6]) assert records(p) == [ ([0], [(0, 6), (2, 1), (3, 5)], 6), ([1], [(1, 6), (2, 1), (3, 5)], 6), @@ -196,21 +223,25 @@ def test_weights_frozen_for_the_epoch(): # after the owner leaves (weights read again would give [6, 6, 6, 6]). g = build(4, SNAP) ledger = ngc.FlowLedger(g) - holder = ngc.FlowPolicyConfig(routing=ngc.Global(support=dag_of(g, [2]))) + holder = ngc.FlowPolicyConfig( + routing=ngc.CentralizedTE( + source_allocation=ngc.SourceAllocation.OPTIMIZED, support=dag_of(g, [2]) + ) + ) other = ngc.FlowPolicy(ledger, 2, 3, holder) - assert other.place(8).placed == 8 - p = ngc.FlowPolicy(ledger, [0, 1], 3, cfg(W, weights=SNAPSHOT)) - assert p.place(2).placed == 2 + assert other.place(8).call_delivered == 8 + p = ngc.FlowPolicy(ledger, [0, 1], 3, cfg(W, weight_basis=SNAPSHOT)) + assert p.place(2).call_delivered == 2 other.remove() r = p.place(10, EDGES) - assert (r.placed, r.edge_flows.tolist()) == (10, [6, 6, 2, 10]) + assert (r.call_delivered, r.edge_flows.tolist()) == (10, [6, 6, 2, 10]) def test_first_hop_experiment(): # Every source injects its first edges' residual: 4 + 6. _, _, p = policy(PRIV, [0, 1], 2, cfg(admission=LOSSY)) r = p.place(INF) - assert (r.placed, r.termination, r.requested, r.offered) == ( + assert (r.call_delivered, r.termination, r.requested, r.offered) == ( 10, T.EXHAUSTED, INF, @@ -230,7 +261,7 @@ def test_inc(): # RR(3) = (2, 1) does not fit e0 (1): call 1 admits 2; call 2 targets 3 again: 0. _, _, p = policy(INC, [0, 1], 2, cfg()) a, b = p.place(3), p.place(1) - assert (a.placed, a.termination, b.placed, b.termination) == ( + assert (a.call_delivered, a.termination, b.call_delivered, b.termination) == ( 2, T.EXHAUSTED, 0, @@ -240,8 +271,13 @@ def test_inc(): # Lossy: call 1 injects (2, 1) and drops 1 on e0; call 2 injects RR(4) - RR(3) = (0, 1). _, _, p = policy(INC, [0, 1], 2, cfg(admission=LOSSY)) a, b = p.place(3), p.place(1) - assert (a.placed, a.call_drops, b.placed, b.call_drops) == (2, [(0, 1)], 1, []) - assert (b.requested, b.offered, b.delivered, b.drops, b.unadmitted) == ( + assert ( + a.call_delivered, + a.call_edge_drops, + b.call_delivered, + b.call_edge_drops, + ) == (2, [(0, 1)], 1, []) + assert (b.requested, b.offered, b.delivered, b.edge_drops, b.unadmitted) == ( 4, 4, 3, @@ -256,19 +292,22 @@ def test_inc(): other = ngc.FlowPolicy(ledger, 0, 1, cfg()) other.place(8) p = ngc.FlowPolicy(ledger, 0, 1, cfg()) - assert p.place(5).placed == 2 + assert p.place(5).call_delivered == 2 other.remove() other.place(5) r = p.place(1) - assert (r.placed, r.requested, r.admitted, r.unadmitted) == (1, 6, 3, 3) + assert (r.call_delivered, r.requested, r.admitted, r.unadmitted) == (1, 6, 3, 3) # Two parallel unit edges: Lossy 1 then 1 drops the second unit on e0 (RR(1) again); # one call of 2 carries both; Lossless 1 then 1 fills both. _, _, p = policy(RC, 0, 1, cfg(admission=LOSSY)) - assert [p.place(1).placed, p.place(1).placed] == [1, 0] + assert [p.place(1).call_delivered, p.place(1).call_delivered] == [1, 0] _, _, p = policy(RC, 0, 1, cfg(admission=LOSSY)) - assert p.place(2).placed == 2 + assert p.place(2).call_delivered == 2 _, _, p = policy(RC, 0, 1, cfg()) - assert [p.place(1).placed, p.place(1, EDGES).edge_flows.tolist()] == [1, [1, 1]] + assert [p.place(1).call_delivered, p.place(1, EDGES).edge_flows.tolist()] == [ + 1, + [1, 1], + ] def random_case(rng): @@ -293,19 +332,21 @@ def random_case(rng): def compare(where, r, want, p): got = { - "placed": r.placed, + "placed": r.call_delivered, "termination": r.termination.name, - "call_drops": r.call_drops, - "call_source_loss": r.call_source_loss, + "call_edge_drops": r.call_edge_drops, + "call_source_drops": r.call_source_drops, "requested": r.requested, "offered": r.offered, "admitted": r.admitted, "delivered": r.delivered, "unadmitted": r.unadmitted, - "source_loss": r.source_loss, - "drops": r.drops, + "source_drops": r.source_drops, + "drops": r.edge_drops, "by_source": rows(r), - "records": {rec.sources[0]: (rec.edges, rec.delivered) for rec in p.records()}, + "records": { + rec.sources[0]: (rec.edge_flows, rec.delivered) for rec in p.records() + }, } for key, value in want.items(): assert got[key] == value, (where, key, got[key], value) @@ -321,7 +362,7 @@ def test_random_against_reference(seed): n, edges, sources, dests = random_case(rng) g = build(n, edges) m = g.num_edges() - cap = [int(x) for x in g.capacity_units()] + cap = [int(x) for x in g.edge_capacity_units()] residual = [rng.randint(0, c) if rng.random() < 0.3 else c for c in cap] xn = [ v @@ -332,48 +373,47 @@ def test_random_against_reference(seed): kernel = rng.choice(["EB", "W"]) lossy = rng.random() < 0.5 multipath = rng.random() < 0.7 - # W's weights: the capacities, or the residual snapshot at preparation; the selection's - # priority (drawn independently) never changes them. - priority = rng.choice(["CAPACITY", "RESIDUAL"]) if kernel == "W" else "CAPACITY" - selection = sel( - prio=getattr( - ngc.EdgePriority, rng.choice(["CAPACITY", "RESIDUAL", "HEADROOM"]) - ), - mp=multipath, + # W's weights: the capacities, or the residual snapshot at preparation (FEWER_HOPS: the + # tie rule never changes them). + basis = ( + rng.choice(["CAPACITY", "RESIDUAL_SNAPSHOT"]) if kernel == "W" else "CAPACITY" ) config = cfg( EB if kernel == "EB" else W, LOSSY if lossy else LOSSLESS, - selection, - weights=SNAPSHOT if priority == "RESIDUAL" else None, + ngc.ShortestPaths(multipath=multipath), + weight_basis=SNAPSHOT if basis == "RESIDUAL_SNAPSHOT" else None, ) ledger = ngc.FlowLedger(g, residual) - elig = g.eligibility(excluded_nodes=xn, excluded_edges=xe) - p = ngc.FlowPolicy(ledger, sources, dests, config, elig) + eligibility = g.eligibility(excluded_nodes=xn, excluded_edges=xe) + p = ngc.FlowPolicy(ledger, sources, dests, config, eligibility) ref = PooledReference( - g, sources, dests, kernel, lossy, residual, multipath, priority, xn, xe + g, sources, dests, kernel, lossy, residual, multipath, basis, xn, xe ) calls = [rng.choice([0, 1, 2, 3, 5, 9]) for _ in range(rng.randint(1, 4))] if rng.random() < 0.3: calls.append(INF) - for i, volume in enumerate(calls): - r = p.place(volume) - want = ref.place(volume) - compare((seed, i, volume), r, want, p) + for i, offer in enumerate(calls): + r = p.place(offer) + want = ref.place(offer) + compare((seed, i, offer), r, want, p) if lossy: - assert r.offered == r.source_loss + sum(x for _, x in r.drops) + r.delivered - elif volume != INF and not ref.infinite: + assert ( + r.offered + == r.source_drops + sum(x for _, x in r.edge_drops) + r.delivered + ) + elif offer != INF and not ref.infinite: assert r.requested == r.unadmitted + r.delivered - for field in ("admitted", "delivered", "source_loss", "dropped"): + for field in ("admitted", "delivered", "source_drops", "total_edge_drops"): total = sum(getattr(x, field) for x in r.by_source) - state = r.drops if field == "dropped" else getattr(r, field) - if field == "dropped": + state = r.edge_drops if field == "total_edge_drops" else getattr(r, field) + if field == "total_edge_drops": state = sum(x for _, x in state) if ref.roster or not lossy: assert total == state, (seed, field) for rec in p.records(): - route = {int(e) for e in rec.bundle.via_edges()} - assert {e for e, _ in rec.edges} <= route, (seed, rec.sources) - assert {e for e, _ in rec.drops} <= route, (seed, rec.sources) - allocated = ledger.allocated().tolist() - assert all(0 <= a <= c for a, c in zip(allocated, residual, strict=True)), seed + route = {int(e) for e in rec.route.via_edges()} + assert {e for e, _ in rec.edge_flows} <= route, (seed, rec.sources) + assert {e for e, _ in rec.edge_drops} <= route, (seed, rec.sources) + carried = ledger.carried().tolist() + assert all(0 <= a <= c for a, c in zip(carried, residual, strict=True)), seed diff --git a/tests/py/test_programs.py b/tests/py/test_programs.py index 62274a0..54547cd 100644 --- a/tests/py/test_programs.py +++ b/tests/py/test_programs.py @@ -1,24 +1,34 @@ -"""Forwarding programs: what every model exports, Global with a support, the weight +"""Forwarding programs: what every model exports, CentralizedTE with a support, the weight bases, ForwardingProgram.from_routes, Pinned over programs, the lossless bound, the loss rule inside one program (cycles included), replay under a failure mask, stale forwarding with black holes, the operations evaluate, replace and forward with their epochs and flags, the per-entry -records and the by_tunnel rows. Every expected value is derived by hand from the contract's rules; +records and the by_tunnel rows. Every expected value is derived by hand from the rules of +docs/semantics.md; none is read from a build. The independent reference of the property tests is program_oracle.py.""" from __future__ import annotations +import random + import pytest -from helpers import INF, exact, full_ledger_state, sweep_python_allocation +from helpers import ( + INF, + build, + exact, + full_ledger_state, + shortest, + sweep_python_allocation, +) from private_hooks import needs_hooks import netgraph_core as ngc LOSSY = ngc.Admission.LOSSY LOSSLESS = ngc.Admission.LOSSLESS -EB = ngc.FlowPlacement.EQUAL_BALANCED -W = ngc.FlowPlacement.WEIGHTED -MF = ngc.FlowPlacement.MAX_FLOW +EB = ngc.RouteAllocation.EQUAL +W = ngc.RouteAllocation.WEIGHTED +MF = ngc.RouteAllocation.OPTIMIZED UP = ngc.TunnelStatus.UP FAILED = ngc.TunnelStatus.FAILED BLACKHOLED = ngc.TunnelStatus.BLACKHOLED @@ -38,7 +48,7 @@ def graph(n, rows): [r[3] if len(r) > 3 else 1 for r in rows], 1.0, ) - assert [int(i) for i in g.input_index()] == list(range(len(rows))) + assert [int(i) for i in g.input_positions()] == list(range(len(rows))) return g @@ -47,28 +57,30 @@ def path(g, edges): def dag(g, edges): - """The PredDAG of a set of EdgeIds.""" + """The PredecessorDAG of a set of EdgeIds.""" per = [[] for _ in range(g.num_nodes())] for e in sorted(edges): - per[int(g.edge_dst()[e])].append(e) + per[int(g.edge_destinations()[e])].append(e) offsets, parents, via = [0], [], [] for v in range(g.num_nodes()): for e in per[v]: - parents.append(int(g.edge_src()[e])) + parents.append(int(g.edge_sources()[e])) via.append(e) offsets.append(len(via)) - return ngc.PredDAG.from_csr(g, offsets, parents, via) + return ngc.PredecessorDAG.from_csr(g, offsets, parents, via) def tunnels(g, sources, destinations, specs, **options): """A supplied program of tunnels: specs are (head, [edges], weight).""" - routes = [ngc.Route(h, path(g, es), weight=w) for h, es, w in specs] + routes = [ngc.RouteDefinition(h, path(g, es), weight=w) for h, es, w in specs] return ngc.ForwardingProgram.from_routes( g, sources, destinations, routes, **options ) -def pinned(g, program, admission=LOSSLESS, elig=None, black_holes=None, ledger=None): +def pinned( + g, program, admission=LOSSLESS, eligibility=None, black_holes=None, ledger=None +): cfg = ngc.FlowPolicyConfig( routing=ngc.Pinned(program, black_holes=black_holes), admission=admission ) @@ -77,24 +89,29 @@ def pinned(g, program, admission=LOSSLESS, elig=None, black_holes=None, ledger=N list(program.sources), list(program.destinations), cfg, - elig, + eligibility, ) -def cost_only(placement=EB, admission=LOSSLESS, **fields): +def cost_only(allocation=EB, admission=LOSSLESS, routing=None, **fields): return ngc.FlowPolicyConfig( - routing=ngc.CostOnly(), placement=placement, admission=admission, **fields + routing=shortest(routing, allocation=allocation, **fields), admission=admission ) -def global_(origin=None, support=None): - return ngc.FlowPolicyConfig(routing=ngc.Global(support=support), origin=origin) +def global_(source_allocation=None, support=None): + return ngc.FlowPolicyConfig( + routing=ngc.CentralizedTE( + source_allocation=source_allocation or ngc.SourceAllocation.OPTIMIZED, + support=support, + ) + ) def rows(result): """The by_tunnel rows as (index, head, status, assigned, delivered, dropped).""" return [ - (t.index, t.head, t.status, t.assigned, t.delivered, t.dropped) + (t.entry_id, t.head, t.status, t.assigned, t.delivered, t.total_edge_drops) for t in result.by_tunnel ] @@ -152,46 +169,46 @@ def cyc(x, y): def test_global_export(): - # B1, Global optimized and equal, place(12). + # B1, CentralizedTE optimized and equal, place(12). g = graph(4, B1) p = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, global_()) r = p.place(12) prog = r.program assert listing(prog) == [(0, [0], 2), (1, [1, 2], 10)] - assert [t.index for t in prog.tunnels] == [0, 1] + assert [t.entry_id for t in prog.tunnels] == [0, 1] assert [t.local_index for t in prog.tunnels] == [0, 0] assert [t.destination for t in prog.tunnels] == [3, 3] - assert [t.route_cost for t in prog.tunnels] == [1, 3] + assert [t.path_cost for t in prog.tunnels] == [1, 3] assert prog.source_weights == ((0, 2), (1, 10)) assert prog.sources == (0, 1) and prog.destinations == (3,) - assert [rec.entry for rec in p.records()] == [None, None] + assert [rec.entry_id for rec in p.records()] == [None, None] assert rows(r) == [(0, 0, UP, 2, 2, 0), (1, 1, UP, 10, 10, 0)] assert p.program.tunnels == prog.tunnels or listing(p.program) == listing(prog) - eq = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, global_(ngc.Origin.EQUAL)).place( - 12 - ) - assert eq.placed == 4 + eq = ngc.FlowPolicy( + ngc.FlowLedger(g), [0, 1], 3, global_(ngc.SourceAllocation.EQUAL) + ).place(12) + assert eq.call_delivered == 4 assert listing(eq.program) == [(0, [0], 2), (1, [1, 2], 2)] assert eq.program.source_weights is None def test_single_source_decomposed(): - # One source is decomposed too; CostOnly MAX_FLOW. + # One source is decomposed too; ShortestPaths OPTIMIZED. g = graph(4, ES) r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, global_()).place(12) assert listing(r.program) == [(0, [0, 2], 2), (0, [1, 3], 10)] assert [t.local_index for t in r.program.tunnels] == [0, 1] - assert [t.route_cost for t in r.program.tunnels] == [2, 3] + assert [t.path_cost for t in r.program.tunnels] == [2, 3] assert r.total_cost == 34 assert r.program.source_weights == ((0, 12),) mf = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, cost_only(MF)).place(12) - assert mf.placed == 2 + assert mf.call_delivered == 2 assert listing(mf.program) == [(0, [0, 2], 2)] assert mf.program.source_weights == ((0, 2),) def test_cost_only_split_program(): - # A CostOnly split program lists no tunnel. + # A ShortestPaths split program lists no tunnel. g = graph(4, POOL2) r = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, cost_only()).place(2) assert r.program.tunnels == () @@ -223,18 +240,21 @@ def test_replay_reproduces_the_solve_and_keeps_the_mask(): prog = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, global_()).place(12).program p = pinned(g, prog) r = p.place(12, ngc.OutputOptions(edge_flows=True)) - assert (r.placed, r.termination) == (12, T.COMPLETE) + assert (r.call_delivered, r.termination) == (12, T.COMPLETE) assert r.edge_flows.tolist() == [2, 10, 10] - assert pinned(g, prog).place(INF).placed == 12 + assert pinned(g, prog).place(INF).call_delivered == 12 # The policy's program is the configured one. assert listing(p.program) == listing(prog) and listing(r.program) == listing(prog) # The producer's mask is saved: no replay brings source 1 back. masked = ngc.FlowPolicy( ngc.FlowLedger(g), [0, 1], 3, global_(), g.eligibility(excluded_nodes=[1]) ).place(12) - assert masked.placed == 2 and listing(masked.program) == [(0, [0], 2)] + assert masked.call_delivered == 2 and listing(masked.program) == [(0, [0], 2)] lossy = pinned(g, masked.program, LOSSY).replace(12) - assert lossy.placed == 2 and [row.offered for row in lossy.by_source] == [12, 0] + assert lossy.call_delivered == 2 and [row.offered for row in lossy.by_source] == [ + 12, + 0, + ] def test_empty_roster_program(): @@ -249,7 +269,7 @@ def test_empty_roster_program(): assert r.program.sources == (0,) and not r.routes_changed and not r.weights_changed -# ---------------------------------------------------------------- G: Global with a support +# ---------------------------------------------------------------- G: CentralizedTE with a support def test_global_support(): @@ -258,14 +278,17 @@ def test_global_support(): r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, global_(support=dag(g, [1, 3]))).place( 12, ngc.OutputOptions(min_cut=True) ) - assert (r.placed, r.total_cost) == (10, 30) - assert r.min_cut is None and r.cost_distribution is None + assert (r.call_delivered, r.total_cost) == (10, 30) + assert r.min_cut is None and r.marginal_cost_curve is None assert listing(r.program) == [(0, [1, 3], 10)] - assert ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, global_()).place(12).placed == 12 + assert ( + ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, global_()).place(12).call_delivered + == 12 + ) r2 = ngc.FlowPolicy( ngc.FlowLedger(g), 0, 3, global_(support=dag(g, [0, 1, 3])) ).place(12, ngc.OutputOptions(edge_flows=True)) - assert r2.placed == 10 and r2.edge_flows.tolist() == [0, 10, 0, 10] + assert r2.call_delivered == 10 and r2.edge_flows.tolist() == [0, 10, 0, 10] # The mask removes the support: an empty roster. r3 = ngc.FlowPolicy( ngc.FlowLedger(g), @@ -274,13 +297,20 @@ def test_global_support(): global_(support=dag(g, [1, 3])), g.eligibility(excluded_edges=[3]), ).place(12) - assert (r3.termination, r3.placed, r3.program.tunnels) == (T.NO_ROUTE, 0, ()) - # The equal origin on a support. + assert (r3.termination, r3.call_delivered, r3.program.tunnels) == ( + T.NO_ROUTE, + 0, + (), + ) + # The equal source allocation on a support. b2 = graph(3, B2) r4 = ngc.FlowPolicy( - ngc.FlowLedger(b2), [0, 1], 2, global_(ngc.Origin.EQUAL, dag(b2, [1, 2])) + ngc.FlowLedger(b2), + [0, 1], + 2, + global_(ngc.SourceAllocation.EQUAL, dag(b2, [1, 2])), ).place(12) - assert (r4.placed, r4.total_cost) == (4, 4) + assert (r4.call_delivered, r4.total_cost) == (4, 4) def test_global_support_wide_cost_and_ownership(): @@ -302,7 +332,9 @@ def test_global_support_wide_cost_and_ownership(): def test_explicit_weights(): # Configured (explicit) weights. g = par2(10, 10) - cfg = cost_only(W, LOSSY, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[1, 2]) + cfg = cost_only( + W, LOSSY, weight_basis=ngc.WeightBasis.EXPLICIT, edge_weights=[1, 2] + ) r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg).place( 12, ngc.OutputOptions(edge_flows=True) ) @@ -311,112 +343,157 @@ def test_explicit_weights(): 12, ngc.OutputOptions(edge_flows=True) ) assert cap.edge_flows.tolist() == [6, 6] - ll = cost_only(W, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[1, 2]) - assert ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, ll).place(INF).placed == 15 - assert ngc.capacity(g, 0, 1, ngc.QueryOptions(ll)).placed == 15 + ll = cost_only(W, weight_basis=ngc.WeightBasis.EXPLICIT, edge_weights=[1, 2]) + assert ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, ll).place(INF).call_delivered == 15 + assert ngc.evaluate_demand(g, 0, 1, ngc.EvaluationOptions(ll)).call_delivered == 15 # A positive weight on an edge of capacity 0 becomes 0. z = par2(0, 10) - cfg = cost_only(W, LOSSY, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[5, 1]) + cfg = cost_only( + W, LOSSY, weight_basis=ngc.WeightBasis.EXPLICIT, edge_weights=[5, 1] + ) r = ngc.FlowPolicy(ngc.FlowLedger(z), 0, 1, cfg).place(7) - assert (r.placed, r.call_drops) == (7, []) + assert (r.call_delivered, r.call_edge_drops) == (7, []) # A zero weight prunes. - cfg = cost_only(W, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[0, 3]) - assert ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg).place(12).placed == 10 - cfg = cost_only(W, LOSSY, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[0, 3]) + cfg = cost_only(W, weight_basis=ngc.WeightBasis.EXPLICIT, edge_weights=[0, 3]) + assert ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg).place(12).call_delivered == 10 + cfg = cost_only( + W, LOSSY, weight_basis=ngc.WeightBasis.EXPLICIT, edge_weights=[0, 3] + ) r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg).place(12) - assert (r.placed, r.call_drops) == (10, [(1, 2)]) + assert (r.call_delivered, r.call_edge_drops) == (10, [(1, 2)]) # Every weight 0. for adm, loss in ((LOSSY, 5), (LOSSLESS, 0)): - cfg = cost_only(W, adm, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[0, 0]) + cfg = cost_only( + W, adm, weight_basis=ngc.WeightBasis.EXPLICIT, edge_weights=[0, 0] + ) r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg).place(5) - assert (r.termination, r.placed, r.source_loss) == (T.NO_ACTIVE_WEIGHT, 0, loss) + assert (r.termination, r.call_delivered, r.source_drops) == ( + T.NO_ACTIVE_WEIGHT, + 0, + loss, + ) def test_snapshot_weights(): - # Snapshot weights: the priority is no weight, the snapshot is frozen. + # Snapshot weights: the tie rule is no weight, the snapshot is frozen. g = par2(10, 10) def policy(admission, **fields): ledger = ngc.FlowLedger(g, [2, 10]) return ngc.FlowPolicy(ledger, 0, 1, cost_only(W, admission, **fields)) - assert policy(LOSSLESS).place(12).placed == 4 + assert policy(LOSSLESS).place(12).call_delivered == 4 snap = ngc.WeightBasis.RESIDUAL_SNAPSHOT - assert policy(LOSSLESS, weights=snap).place(12).placed == 12 - prio = ngc.PathSelection(priority=ngc.EdgePriority.RESIDUAL) - assert policy(LOSSLESS, selection=prio).place(12).placed == 4 - p = policy(LOSSY, weights=snap) + assert policy(LOSSLESS, weight_basis=snap).place(12).call_delivered == 12 + p = policy(LOSSY, weight_basis=snap) r1 = p.place(12, ngc.OutputOptions(edge_flows=True)) assert r1.edge_flows.tolist() == [2, 10] r2 = p.place(6) - assert (r2.placed, r2.call_drops, r2.call_source_loss) == (0, [(0, 1), (1, 5)], 0) - # Weighted with the Headroom priority is accepted (CostOnly). - sel = ngc.PathSelection( - ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, ngc.EdgePriority.HEADROOM, False + assert (r2.call_delivered, r2.call_edge_drops, r2.call_source_drops) == ( + 0, + [(0, 1), (1, 5)], + 0, + ) + # Weighted with HIGHER_HEADROOM is accepted (ShortestPaths): the single path is e1. + headroom = ngc.ShortestPaths( + tie_break=ngc.RouteTieBreak.HIGHER_HEADROOM, multipath=False ) - assert policy(LOSSLESS, selection=sel).place(12).placed == 10 + assert policy(LOSSLESS, routing=headroom).place(12).call_delivered == 10 def test_weight_texts(): g = par2(10, 10) ledger = ngc.FlowLedger(g) + explicit = ngc.WeightBasis.EXPLICIT cases = [ ( - cost_only(weights=ngc.WeightBasis.CAPACITY), - "weights require CostOnly placement=WEIGHTED", - ), - (cost_only(edge_weights=[1, 1]), "edge_weights require weights=EXPLICIT"), - ( - cost_only(W, weights=ngc.WeightBasis.EXPLICIT), - "weights=EXPLICIT requires edge_weights", + cost_only(weight_basis=ngc.WeightBasis.CAPACITY), + "weight_basis requires allocation=WEIGHTED", ), ( - cost_only(W, weights=ngc.WeightBasis.CAPACITY, edge_weights=[1, 1]), - "edge_weights require weights=EXPLICIT", + cost_only(edge_weights=[1, 1]), + "edge_weights require weight_basis=EXPLICIT", ), ( - ngc.FlowPolicyConfig( - routing=ngc.Global(), weights=ngc.WeightBasis.CAPACITY - ), - "Global does not accept weights", + cost_only(W, weight_basis=explicit), + "weight_basis=EXPLICIT requires edge_weights", ), ( - ngc.FlowPolicyConfig( - routing=ngc.CapacityAware(ngc.Tunnels(1)), - weights=ngc.WeightBasis.CAPACITY, - ), - "T1 does not accept weights", + cost_only(W, weight_basis=ngc.WeightBasis.CAPACITY, edge_weights=[1, 1]), + "edge_weights require weight_basis=EXPLICIT", ), ( - cost_only(W, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[1, 2, 3]), + cost_only(W, weight_basis=explicit, edge_weights=[1, 2, 3]), "edge_weights: expected 2 entries", ), ( - cost_only(W, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[1, 1 << 62]), + cost_only(W, weight_basis=explicit, edge_weights=[1, 1 << 62]), "edge_weights[1] must be an integer in [0, 2^62)", ), - ( - cost_only(W, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[-1, 1]), - "edge_weights[0] must be an integer in [0, 2^62)", - ), ] for cfg, text in cases: with pytest.raises(ValueError, match=exact(text)): ngc.FlowPolicy(ledger, 0, 1, cfg) - prog = tunnels(g, [0], [1], [(0, [0], 1)]) - with pytest.raises(ValueError, match=exact("Pinned does not accept weights")): + with pytest.raises( + ValueError, match=exact("edge_weights[0] must be an integer in [0, 2^62)") + ): ngc.FlowPolicy( - ledger, - 0, - 1, - ngc.FlowPolicyConfig( - routing=ngc.Pinned(prog), weights=ngc.WeightBasis.CAPACITY - ), + ledger, 0, 1, cost_only(W, weight_basis=explicit, edge_weights=[-1, 1]) ) - with pytest.raises(ValueError): - cost_only(W, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[True, 1]) - cfg = cost_only(W, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[1, 2]) - assert cfg.edge_weights == (1, 2) + # An entry beyond int64 is refused when the model is built. + with pytest.raises( + ValueError, match=exact("edge_weights[1] must be an integer in [0, 2^62)") + ): + cost_only(W, weight_basis=explicit, edge_weights=[1, 1 << 64]) + # The other models take no weights. + for model in ( + lambda **kw: ngc.CentralizedTE( + source_allocation=ngc.SourceAllocation.OPTIMIZED, **kw + ), + lambda **kw: ngc.DistributedTE(ngc.TunnelCount(1), **kw), + lambda **kw: ngc.Pinned(tunnels(g, [0], [1], [(0, [0], 1)]), **kw), + ): + with pytest.raises(TypeError): + model(weight_basis=ngc.WeightBasis.CAPACITY) + with pytest.raises(TypeError): + model(edge_weights=[1, 1]) + with pytest.raises(TypeError): + cost_only(W, weight_basis=explicit, edge_weights=[True, 1]) + cfg = cost_only(W, weight_basis=explicit, edge_weights=[1, 2]) + assert cfg.routing.edge_weights == (1, 2) + + +def test_supported_tunnel_replay_basis(): + # A T2 program laid out on a support replays on that support: with e0 masked its tunnel + # FAILS (the Lossless bound 6); with e0 and e1 masked the head reaches no destination on the + # support and leaves the roster (NO_ROUTE; the Lossy offer 4 lost as the demand's source + # drops, its row all zero), although e2 still joins 0 to 1. + g = graph(2, [(0, 1, 6, 1), (0, 1, 6, 1), (0, 1, 100, 2)]) + t2 = ngc.FlowPolicyConfig( + routing=ngc.CentralizedTE( + source_allocation=ngc.SourceAllocation.EQUAL, + support=dag(g, [0, 1]), + tunnel_count=ngc.TunnelCount(2), + ) + ) + p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, t2) + p.replace(INF) + prog = p.program + r = pinned(g, prog, eligibility=g.eligibility(excluded_edges=[0])).replace(INF) + assert [t.status for t in r.by_tunnel] == [ + ngc.TunnelStatus.FAILED, + ngc.TunnelStatus.UP, + ] + assert r.call_delivered == 6 + r = pinned( + g, prog, LOSSY, eligibility=g.eligibility(excluded_edges=[0, 1]) + ).replace(4) + assert (r.termination, r.call_delivered, r.call_source_drops) == ( + ngc.Termination.NO_ROUTE, + 0, + 4, + ) + assert [(s.source, s.offered, s.source_drops) for s in r.by_source] == [(0, 0, 0)] # ---------------------------------------------------------------- F: from_routes @@ -432,87 +509,103 @@ def raises(text, *args, **kwargs): with pytest.raises(ValueError, match=exact(text)): fr(g, *args, **kwargs) - raises("sources: the node set is empty", [], [1], [ngc.Route(0, p0)]) + raises("sources: the node set is empty", [], [1], [ngc.RouteDefinition(0, p0)]) raises( "node 0 is in both endpoint sets: sources and destinations must not overlap", [0], [0], - [ngc.Route(0, p0)], + [ngc.RouteDefinition(0, p0)], ) raises("routes must not be empty", [0], [1], []) raises( - "placement applies only to PredDAG routes", + "allocation applies only to PredecessorDAG routes", [0], [1], - [ngc.Route(0, p0)], - placement=EB, + [ngc.RouteDefinition(0, p0)], + allocation=EB, ) raises( - "weights applies only to PredDAG routes", + "weight_basis applies only to PredecessorDAG routes", [0], [1], - [ngc.Route(0, p0)], - weights=ngc.WeightBasis.CAPACITY, + [ngc.RouteDefinition(0, p0)], + weight_basis=ngc.WeightBasis.CAPACITY, ) raises( - "edge_weights applies only to PredDAG routes", + "edge_weights applies only to PredecessorDAG routes", [0], [1], - [ngc.Route(0, p0)], + [ngc.RouteDefinition(0, p0)], edge_weights=[1, 1], ) raises( - "residual applies only to PredDAG routes", + "residual applies only to PredecessorDAG routes", [0], [1], - [ngc.Route(0, p0)], + [ngc.RouteDefinition(0, p0)], residual=[1, 1], ) - dagr = [ngc.Route(0, d01)] + dagr = [ngc.RouteDefinition(0, d01)] + # A value outside its enumeration is named by its parameter. raises( - "from_routes placement must be EQUAL_BALANCED or WEIGHTED", + "allocation: 99 is not a value of RouteAllocation", [0], [1], dagr, - placement=MF, + allocation=ngc.RouteAllocation(99), ) raises( - "weights require placement=WEIGHTED", + "weight_basis: 99 is not a value of WeightBasis", [0], [1], dagr, - weights=ngc.WeightBasis.CAPACITY, + allocation=W, + weight_basis=ngc.WeightBasis(99), ) raises( - "weights=EXPLICIT requires edge_weights", + "from_routes allocation must be EQUAL or WEIGHTED", [0], [1], dagr, - placement=W, - weights=ngc.WeightBasis.EXPLICIT, + allocation=MF, ) raises( - "edge_weights require weights=EXPLICIT", + "weight_basis requires allocation=WEIGHTED", [0], [1], dagr, - placement=W, + weight_basis=ngc.WeightBasis.CAPACITY, + ) + raises( + "weight_basis=EXPLICIT requires edge_weights", + [0], + [1], + dagr, + allocation=W, + weight_basis=ngc.WeightBasis.EXPLICIT, + ) + raises( + "edge_weights require weight_basis=EXPLICIT", + [0], + [1], + dagr, + allocation=W, edge_weights=[1, 1], ) raises( - "weights=RESIDUAL_SNAPSHOT requires residual", + "weight_basis=RESIDUAL_SNAPSHOT requires residual", [0], [1], dagr, - placement=W, - weights=ngc.WeightBasis.RESIDUAL_SNAPSHOT, + allocation=W, + weight_basis=ngc.WeightBasis.RESIDUAL_SNAPSHOT, ) raises( - "residual requires weights=RESIDUAL_SNAPSHOT", + "residual requires weight_basis=RESIDUAL_SNAPSHOT", [0], [1], dagr, - placement=W, + allocation=W, residual=[4, 8], ) raises( @@ -520,8 +613,8 @@ def raises(text, *args, **kwargs): [0], [1], dagr, - placement=W, - weights=ngc.WeightBasis.EXPLICIT, + allocation=W, + weight_basis=ngc.WeightBasis.EXPLICIT, edge_weights=[1], ) raises( @@ -529,92 +622,541 @@ def raises(text, *args, **kwargs): [0], [1], dagr, - placement=W, - weights=ngc.WeightBasis.EXPLICIT, + allocation=W, + weight_basis=ngc.WeightBasis.EXPLICIT, edge_weights=[1, 1 << 62], ) raises( - "residual[0] = 5 is outside [0, capacity_units[0] = 4]", + "residual[0] = 5 is outside [0, edge_capacity_units[0] = 4]", [0], [1], dagr, - placement=W, - weights=ngc.WeightBasis.RESIDUAL_SNAPSHOT, + allocation=W, + weight_basis=ngc.WeightBasis.RESIDUAL_SNAPSHOT, residual=[5, 8], ) other = par2(4, 8) raises( - "routes[0]: bundle belongs to another graph", + "routes[0]: route belongs to another graph", [0], [1], - [ngc.Route(0, path(other, [0]))], + [ngc.RouteDefinition(0, path(other, [0]))], ) - raises("routes[0]: head 1 is not a source", [0], [1], [ngc.Route(1, p0)]) + raises("routes[0]: head 1 is not a source", [0], [1], [ngc.RouteDefinition(1, p0)]) hop2 = ngc.Path(g, [[0, 1]]) - raises("routes[0]: a tunnel has one edge per hop", [0], [1], [ngc.Route(0, hop2)]) + raises( + "routes[0]: a tunnel has one edge per hop", + [0], + [1], + [ngc.RouteDefinition(0, hop2)], + ) d = graph(4, DIAM) fd = ngc.ForwardingProgram.from_routes with pytest.raises( ValueError, match=exact("routes[0]: the path starts at 0, not at head 1") ): - fd(d, [0, 1], [3], [ngc.Route(1, path(d, [0, 2]))]) + fd(d, [0, 1], [3], [ngc.RouteDefinition(1, path(d, [0, 2]))]) with pytest.raises( ValueError, match=exact("routes[0]: the path ends at 1, not at a destination") ): - fd(d, [0], [3], [ngc.Route(0, path(d, [0]))]) + fd(d, [0], [3], [ngc.RouteDefinition(0, path(d, [0]))]) with pytest.raises( ValueError, match=exact("routes[0]: the path meets destination 1 before its end"), ): - fd(d, [0], [1, 3], [ngc.Route(0, path(d, [0, 2]))]) + fd(d, [0], [1, 3], [ngc.RouteDefinition(0, path(d, [0, 2]))]) with pytest.raises( ValueError, match=exact("routes[0]: no walk from head 0 to a destination") ): - fd(d, [0], [3], [ngc.Route(0, dag(d, [2]))]) + fd(d, [0], [3], [ngc.RouteDefinition(0, dag(d, [2]))]) for weight in (1 << 62, -1): raises( "routes[0]: weight must be an integer in [0, 2^62)", [0], [1], - [ngc.Route(0, p0, weight=weight)], + [ngc.RouteDefinition(0, p0, weight=weight)], ) - with pytest.raises(ValueError): - ngc.Route(0, p0, weight=True) + with pytest.raises(TypeError, match=exact("weight must be an integer (got bool)")): + ngc.RouteDefinition(0, p0, weight=True) # The routes in list order, each route's checks in order. raises( "routes[0]: weight must be an integer in [0, 2^62)", [0], [1], - [ngc.Route(0, p0, weight=1 << 62), ngc.Route(5, p0)], + [ngc.RouteDefinition(0, p0, weight=1 << 62), ngc.RouteDefinition(5, p0)], ) def test_from_routes_entries(): g = par2(4, 8) prog = ngc.ForwardingProgram.from_routes( - g, [0], [1], [ngc.Route(0, path(g, [0]), weight=0), ngc.Route(0, path(g, [1]))] + g, + [0], + [1], + [ + ngc.RouteDefinition(0, path(g, [0]), weight=0), + ngc.RouteDefinition(0, path(g, [1])), + ], ) - assert [(t.index, t.weight) for t in prog.tunnels] == [(0, 0), (1, 1)] + assert [(t.entry_id, t.weight) for t in prog.tunnels] == [(0, 0), (1, 1)] mixed = ngc.ForwardingProgram.from_routes( g, [0], [1], [ - ngc.Route(0, path(g, [1])), - ngc.Route(0, dag(g, [0, 1])), - ngc.Route(0, path(g, [0])), + ngc.RouteDefinition(0, path(g, [1])), + ngc.RouteDefinition(0, dag(g, [0, 1])), + ngc.RouteDefinition(0, path(g, [0])), ], ) - assert [(t.index, t.local_index) for t in mixed.tunnels] == [(0, 0), (2, 2)] + assert [(t.entry_id, t.local_index) for t in mixed.tunnels] == [(0, 0), (2, 2)] d = graph(4, DIAM) norm = ngc.ForwardingProgram.from_routes( - d, [1, 0, 1], [3], [ngc.Route(0, path(d, [0, 2]))] + d, [1, 0, 1], [3], [ngc.RouteDefinition(0, path(d, [0, 2]))] ) assert norm.sources == (0, 1) with pytest.raises(TypeError): ngc.ForwardingProgram.from_routes(g, [0], [1], [path(g, [0])]) +# ---------------------------------------------------------------- Q: from_dag + +# DP: links 0->2 and 1->2 of capacity 10, then two parallel links 2->3 of capacity 1 (e2, e3), all +# cost 1; sources 0 and 1, destination 3 (DAG-pooled). DP3: e3 of capacity 3. +DP = [(0, 2, 10, 1), (1, 2, 10, 1), (2, 3, 1, 1), (2, 3, 1, 1)] +DP3 = [(0, 2, 10, 1), (1, 2, 10, 1), (2, 3, 1, 1), (2, 3, 3, 1)] + + +def from_dag(g, edges, sources=(0, 1), destinations=3, **options): + return ngc.ForwardingProgram.from_dag( + g, list(sources), destinations, dag(g, edges), **options + ) + + +def test_from_dag_pools(): + # DAG-pooled against DAG-separate: one context splits node 2's two units once (1, 1); two + # contexts each put their unit on the first link. + g = graph(4, DP) + pooled = from_dag(g, [0, 1, 2, 3]) + whole = dag(g, [0, 1, 2, 3]) + separate = ngc.ForwardingProgram.from_routes( + g, [0, 1], 3, [ngc.RouteDefinition(0, whole), ngc.RouteDefinition(1, whole)] + ) + assert pinned(g, pooled).place(INF).call_delivered == 2 + assert pinned(g, pooled, LOSSY).place(2).call_delivered == 2 + assert pinned(g, separate).place(INF).call_delivered == 1 + assert pinned(g, separate, LOSSY).place(2).call_delivered == 1 + + +def test_from_dag_attribution(): + # LOSSY 3: node 2 splits RR(3, 2) = (2, 1); e2's 2 units go back to the sources by H(2, [2, 1]) + # = (2, 0), so source 0 loses the dropped unit. + g = graph(4, DP) + p = pinned(g, from_dag(g, [0, 1, 2, 3]), LOSSY) + r = p.place(3) + assert (r.call_delivered, r.call_edge_drops) == (2, [(2, 1)]) + assert [ + (s.source, s.offered, s.delivered, s.total_edge_drops) for s in r.by_source + ] == [ + (0, 2, 1, 1), + (1, 1, 1, 0), + ] + records = p.records() + assert [ + ( + rec.edge_flows, + rec.edge_drops, + sorted(rec.route.via_edges().tolist()), + rec.min_route_cost, + ) + for rec in records + ] == [ + ([(0, 2), (2, 1)], [(2, 1)], [0, 2, 3], 2), + ([(1, 1), (3, 1)], [], [1, 2, 3], 2), + ] + + +def test_from_dag_value(): + g = graph(4, DP) + p = from_dag(g, [0, 1, 2, 3]) + assert (p.sources, p.destinations, p.tunnels, p.source_weights) == ( + (0, 1), + (3,), + (), + None, + ) + + +def test_from_dag_roster(): + # Without e1, source 1 reaches nothing in the DAG: the roster is {0}, which carries every unit + # (a graph roster would keep source 1's share and lose it: Lossless 1). + g = graph(4, DP) + p = from_dag(g, [0, 2, 3]) + assert pinned(g, p).place(INF).call_delivered == 2 + r = pinned(g, p, LOSSY).place(2) + assert r.call_delivered == 2 + assert [ + (s.source, s.offered, s.delivered, s.source_drops) for s in r.by_source + ] == [ + (0, 2, 2, 0), + (1, 0, 0, 0), + ] + + +def test_from_dag_empty_roster(): + # No source reaches the destination in {e2, e3}: an empty roster is allowed; Lossy's offer is + # the demand's source drops, Lossless's is undelivered, a zero offer completes. + g = graph(4, DP) + p = from_dag(g, [2, 3]) + r = pinned(g, p, LOSSY).place(2) + assert (r.termination, r.call_delivered, r.call_source_drops) == (T.NO_ROUTE, 0, 2) + assert [(s.offered, s.source_drops) for s in r.by_source] == [(0, 0), (0, 0)] + r = pinned(g, p).place(2) + assert (r.termination, r.call_delivered, r.call_undelivered) == (T.NO_ROUTE, 0, 2) + assert pinned(g, p, LOSSY).place(0).termination == T.COMPLETE + + +def test_from_dag_trimming(): + # The walks stop at the first destinations: with destinations {2, 3} nothing passes node 2 + # (Lossless 20); links after a destination (3->4) or into it from outside the sources' walks + # (5->3) never carry and are in no record's route. + g = graph(4, DP) + p = from_dag(g, [0, 1, 2, 3], destinations=[2, 3]) + assert pinned(g, p).place(INF).call_delivered == 20 + g6 = graph(6, DP + [(3, 4, 5, 1), (5, 3, 5, 1)]) + q = pinned(g6, from_dag(g6, [0, 1, 2, 3, 4, 5])) + assert q.place(INF).call_delivered == 2 + records = q.records() + assert [sorted(rec.route.via_edges().tolist()) for rec in records] == [ + [0, 2, 3], + [1, 2, 3], + ] + assert all(e not in (4, 5) for rec in records for e, _ in rec.edge_flows) + + +def test_from_dag_weights(): + # WCMP on DP3 by capacity: node 2 splits H(4, [1, 3]) = (1, 3): 4; EQUAL: 2. Explicit weights + # [1, 1, 0, 1] prune e2: Lossless 1, Lossy 2 delivers 1 with e3 dropping 1. A residual + # snapshot [10, 10, 1, 0] gives e3 weight 0: 1. + g3 = graph(4, DP3) + whole = [0, 1, 2, 3] + assert pinned(g3, from_dag(g3, whole, allocation=W)).place(INF).call_delivered == 4 + assert pinned(g3, from_dag(g3, whole)).place(INF).call_delivered == 2 + g = graph(4, DP) + explicit = from_dag( + g, + whole, + allocation=W, + weight_basis=ngc.WeightBasis.EXPLICIT, + edge_weights=[1, 1, 0, 1], + ) + assert pinned(g, explicit).place(INF).call_delivered == 1 + r = pinned(g, explicit, LOSSY).place(2) + assert (r.call_delivered, r.call_edge_drops) == (1, [(3, 1)]) + snapshot = from_dag( + g3, + whole, + allocation=W, + weight_basis=ngc.WeightBasis.RESIDUAL_SNAPSHOT, + residual=[10, 10, 1, 0], + ) + assert pinned(g3, snapshot).place(INF).call_delivered == 1 + + +def test_from_dag_snapshot_reads_by_edge_id(): + # A residual snapshot is read per EdgeId, not per position in the DAG: e0 0->2 is outside the + # DAG, e1 and e2 0->1 (cost 2) are in it; residual [10, 2, 8] weighs them 2 and 8, so an offer + # of 10 splits by highest averages as (2, 8) and e0 carries nothing. + g = ngc.Graph(3, [0, 0, 0], [2, 1, 1], [10, 10, 10], [1, 2, 2], 1.0) + assert g.input_positions().tolist() == [0, 1, 2] + dag_12 = ngc.PredecessorDAG.from_csr(g, [0, 0, 2, 2], [0, 0], [1, 2]) + program = ngc.ForwardingProgram.from_dag( + g, + 0, + 1, + dag_12, + allocation=ngc.RouteAllocation.WEIGHTED, + weight_basis=ngc.WeightBasis.RESIDUAL_SNAPSHOT, + residual=[10, 2, 8], + ) + policy = ngc.FlowPolicy( + ngc.FlowLedger(g), 0, 1, ngc.FlowPolicyConfig(routing=ngc.Pinned(program)) + ) + r = policy.replace(10, outputs=ngc.OutputOptions(edge_flows=True)) + assert r.edge_flows.tolist() == [0, 2, 8] + + +def test_from_dag_validation(): + g = graph(4, DP) + whole = dag(g, [0, 1, 2, 3]) + foreign = dag(graph(4, DP), [0, 1, 2, 3]) + explicit = ngc.WeightBasis.EXPLICIT + snap = ngc.WeightBasis.RESIDUAL_SNAPSHOT + fd = ngc.ForwardingProgram.from_dag + for call, text in ( + (lambda: fd(g, [], 3, foreign), "sources: the node set is empty"), + ( + lambda: fd(g, [0, 1], 3, foreign, allocation=MF), + "dag belongs to another graph", + ), + ( + lambda: fd( + g, + [0, 1], + 3, + whole, + allocation=MF, + weight_basis=ngc.WeightBasis.CAPACITY, + ), + "from_dag allocation must be EQUAL or WEIGHTED", + ), + ( + lambda: fd(g, [0, 1], 3, whole, weight_basis=ngc.WeightBasis.CAPACITY), + "weight_basis requires allocation=WEIGHTED", + ), + ( + lambda: fd(g, [0, 1], 3, whole, allocation=W, weight_basis=explicit), + "weight_basis=EXPLICIT requires edge_weights", + ), + ( + lambda: fd(g, [0, 1], 3, whole, allocation=W, edge_weights=[1, 1, 1, 1]), + "edge_weights require weight_basis=EXPLICIT", + ), + ( + lambda: fd(g, [0, 1], 3, whole, allocation=W, weight_basis=snap), + "weight_basis=RESIDUAL_SNAPSHOT requires residual", + ), + ( + lambda: fd(g, [0, 1], 3, whole, allocation=W, residual=[1, 1, 1, 1]), + "residual requires weight_basis=RESIDUAL_SNAPSHOT", + ), + ( + lambda: fd( + g, + [0, 1], + 3, + whole, + allocation=W, + weight_basis=explicit, + edge_weights=[1, 1, 1], + ), + "edge_weights: expected 4 entries", + ), + ( + lambda: fd( + g, + [0, 1], + 3, + whole, + allocation=W, + weight_basis=explicit, + edge_weights=[-1, 1, 1, 1], + ), + "edge_weights[0] must be an integer in [0, 2^62)", + ), + ( + lambda: fd( + g, + [0, 1], + 3, + whole, + allocation=W, + weight_basis=snap, + residual=[11, 0, 0, 0], + ), + "residual[0] = 11 is outside [0, edge_capacity_units[0] = 10]", + ), + ): + with pytest.raises(ValueError, match=exact(text)): + call() + with pytest.raises( + TypeError, match=exact("dag must be a PredecessorDAG (got list)") + ): + fd(g, [0, 1], 3, [0]) + + +def test_from_dag_repair(): + # A mask excluding e2: the replay keeps the pooled context, node 2 sends everything to e3. + g = graph(4, DP) + p = from_dag(g, [0, 1, 2, 3]) + mask = g.eligibility(excluded_edges=[2]) + assert pinned(g, p, eligibility=mask).place(INF).call_delivered == 1 + r = pinned(g, p, LOSSY, eligibility=mask).place(2) + assert (r.call_delivered, r.call_edge_drops) == (1, [(3, 1)]) + + +def test_from_dag_replay_basis(): + # DPX adds 1->3 (e2 here, in EdgeId order) outside the DAG {0->2, 1->2, 2->3, 2->3}. With 1->2 + # masked, source 1 reaches nothing in the DAG and leaves the roster: Lossless 2 (the topology + # would keep it through 1->3, with no surviving entry: 1). + gx = graph( + 4, [(0, 2, 10, 1), (1, 2, 10, 1), (1, 3, 5, 1), (2, 3, 1, 1), (2, 3, 1, 1)] + ) + p = from_dag(gx, [0, 1, 3, 4]) + mask = gx.eligibility(excluded_edges=[1]) + assert pinned(gx, p, eligibility=mask).place(INF).call_delivered == 2 + r = pinned(gx, p, LOSSY, eligibility=mask).place(2) + assert [(s.source, s.offered, s.delivered) for s in r.by_source] == [ + (0, 2, 2), + (1, 0, 0), + ] + + +def test_from_dag_stale(): + # Black holes at e2: the tables and the roster stay; RR(2, 2) puts one unit on e2, lost there. + g = graph(4, DP) + p = from_dag(g, [0, 1, 2, 3]) + holes = g.eligibility(excluded_edges=[2]) + r = pinned(g, p, LOSSY, black_holes=holes).place(2) + assert (r.call_delivered, r.call_edge_drops) == (1, [(2, 1)]) + assert pinned(g, p, black_holes=holes).place(INF).call_delivered == 0 + r = pinned(g, p, LOSSY, black_holes=holes).place(1) + assert (r.call_delivered, r.call_edge_drops) == (0, [(2, 1)]) + + +def _sp_against_dag(g, edges, allocation=EB, mask=None): + # ShortestPaths from {0, 1} to 3 against Pinned over from_dag of the same DAG: delivered, + # edge drops and per-source rows for Lossy offers 1 to 5, and the Lossless bound. + sp = ngc.ShortestPaths(allocation=allocation) + program = from_dag(g, edges, allocation=allocation) + + def rows_of(r): + return ( + r.call_delivered, + r.call_edge_drops, + [ + (s.source, s.offered, s.delivered, s.total_edge_drops) + for s in r.by_source + ], + ) + + for offer in range(1, 6): + a = ngc.FlowPolicy( + ngc.FlowLedger(g), + [0, 1], + 3, + ngc.FlowPolicyConfig(routing=sp, admission=LOSSY), + mask, + ).place(offer) + b = pinned(g, program, LOSSY, eligibility=mask).place(offer) + assert rows_of(a) == rows_of(b), offer + a = ngc.FlowPolicy( + ngc.FlowLedger(g), [0, 1], 3, ngc.FlowPolicyConfig(routing=sp), mask + ).place(INF) + assert ( + a.call_delivered + == pinned(g, program, eligibility=mask).place(INF).call_delivered + ) + return a.call_delivered + + +def test_from_dag_equals_shortest_paths(): + # One mechanism: ECMP on DP (Lossy 3: 2, [(2, 1)]), the same under a mask excluding e3, and + # WCMP by capacity on DP3. + g = graph(4, DP) + assert _sp_against_dag(g, [0, 1, 2, 3]) == 2 + r = pinned(g, from_dag(g, [0, 1, 2, 3]), LOSSY).place(3) + assert (r.call_delivered, r.call_edge_drops) == (2, [(2, 1)]) + assert _sp_against_dag(g, [0, 1, 2, 3], mask=g.eligibility(excluded_edges=[3])) == 1 + assert _sp_against_dag(graph(4, DP3), [0, 1, 2, 3], allocation=W) == 4 + + +@pytest.mark.parametrize("seed", range(120)) +def test_from_dag_equals_shortest_paths_random(seed): + # ShortestPaths EQUAL or WEIGHTED (CAPACITY) from up to three sources, under a random mask, + # against Pinned over from_dag of the union of its records' routes (the selected supports), + # the same mask and allocation: the same delivered, edge drops and per-source rows, Lossy and + # Lossless. Even seeds add a hub (every source into one router, then 2 or 3 small parallel + # links), where pooling decides the split. + rng = random.Random(seed) + n = rng.randint(4, 7) + rows = [] + if seed % 2 == 0: + for u in range(n - 2): + rows.append((u, n - 2, rng.choice([1, 2, 5, 10]), 1)) + for _ in range(rng.randint(2, 3)): + rows.append((n - 2, n - 1, rng.choice([0, 1, 2, 3]), 1)) + for u in range(n - 1): + for v in range(u + 1, n): + for _ in range(rng.choice([0, 0, 1, 1, 2] if seed % 2 else [0, 0, 0, 1])): + rows.append((u, v, rng.choice([0, 1, 2, 3, 5, 9]), rng.randint(1, 4))) + if not rows: + rows = [(0, n - 1, 3, 1)] + g = build(n, rows) + sources = sorted(rng.sample(range(n - 2), rng.randint(1, min(3, n - 2)))) + mask = g.eligibility( + excluded_edges=[e for e in range(g.num_edges()) if rng.random() < 0.1] + ) + allocation = rng.choice([EB, W]) + admission = rng.choice([LOSSLESS, LOSSY]) + offer = INF if admission == LOSSLESS else rng.choice([1, 2, 3, 5, 9, 20]) + sp = ngc.FlowPolicy( + ngc.FlowLedger(g), + sources, + n - 1, + ngc.FlowPolicyConfig( + routing=ngc.ShortestPaths(allocation=allocation), admission=admission + ), + mask, + ) + a = sp.place(offer) + union = sorted({e for rec in sp.records() for e in rec.route.via_edges().tolist()}) + if not union: + return + program = ngc.ForwardingProgram.from_dag( + g, sources, n - 1, dag(g, union), allocation=allocation + ) + b = pinned(g, program, admission, eligibility=mask).place(offer) + + def rows_of(r): + return ( + r.call_delivered, + r.call_edge_drops, + r.call_source_drops, + [(s.source, s.delivered, s.total_edge_drops) for s in r.by_source], + ) + + assert rows_of(a) == rows_of(b), seed + + +def test_from_dag_masked_and_zero(): + g = graph(4, DP) + p = from_dag(g, [0, 1, 2, 3]) + every = g.eligibility(excluded_edges=[0, 1, 2, 3]) + assert pinned(g, p, eligibility=every).place(INF).termination == T.NO_ROUTE + ledger = ngc.FlowLedger(g) + r = pinned(g, p, ledger=ledger).place(0) + assert (r.termination, r.call_delivered) == (T.COMPLETE, 0) + assert ledger.records() == [] + + +def test_from_dag_many_sources(): + # 64 sources, each a link of 2^55 into node 64, then one link of 2^61 - 1 (capacities summing + # to 2^62 - 1): Lossless 2^61 - 1; Lossy 2^61 fills every first link and drops 1 on the last. + rows = [(i, 64, 1 << 55, 1) for i in range(64)] + [(64, 65, (1 << 61) - 1, 1)] + g = graph(66, rows) + p = from_dag(g, range(65), sources=range(64), destinations=65) + assert pinned(g, p).place(INF).call_delivered == (1 << 61) - 1 + r = pinned(g, p, LOSSY).place(1 << 61) + assert (r.call_delivered, r.call_edge_drops) == ((1 << 61) - 1, [(64, 1)]) + + +def test_from_dag_wide_weights(): + # 16 parallel links of 2^57, explicit weights 2^62 - 1 each (their sum above 2^65): equal + # weights split by RR, 2^57 each: 2^61. + g = graph(2, [(0, 1, 1 << 57, 1)] * 16) + p = from_dag( + g, + range(16), + sources=[0], + destinations=1, + allocation=W, + weight_basis=ngc.WeightBasis.EXPLICIT, + edge_weights=[(1 << 62) - 1] * 16, + ) + assert pinned(g, p).place(INF).call_delivered == 1 << 61 + + # ---------------------------------------------------------------- C: Pinned's configuration @@ -622,17 +1164,18 @@ def test_pinned_texts(): g = par2(4, 8) prog = tunnels(g, [0], [1], [(0, [0], 1)]) ledger = ngc.FlowLedger(g) - fields = [ - ({"placement": EB}, "Pinned does not accept placement"), - ({"origin": ngc.Origin.EQUAL}, "Pinned does not accept origin"), - ({"selection": ngc.PathSelection()}, "Pinned does not accept selection"), - ({"weights": ngc.WeightBasis.CAPACITY}, "Pinned does not accept weights"), - ({"edge_weights": [1, 1]}, "Pinned does not accept edge_weights"), - ] - for kw, text in fields: - cfg = ngc.FlowPolicyConfig(routing=ngc.Pinned(prog), **kw) - with pytest.raises(ValueError, match=exact(text)): - ngc.FlowPolicy(ledger, 0, 1, cfg) + # The fields of the other models are no keywords of FlowPolicyConfig or Pinned. + for kw in ( + {"placement": EB}, + {"allocation": EB}, + {"origin": ngc.SourceAllocation.EQUAL}, + {"weights": ngc.WeightBasis.CAPACITY}, + {"edge_weights": [1, 1]}, + ): + with pytest.raises(TypeError): + ngc.FlowPolicyConfig(routing=ngc.Pinned(prog), **kw) + with pytest.raises(TypeError): + ngc.Pinned(prog, **kw) three = graph(3, [(0, 1, 1), (0, 2, 1)]) p3 = tunnels(three, [0], [1], [(0, [0], 1)]) with pytest.raises( @@ -645,10 +1188,9 @@ def test_pinned_texts(): ngc.FlowPolicyConfig(routing=ngc.Pinned(p3)), ) foreign = tunnels(par2(4, 8), [0], [1], [(0, [0], 1)]) - for kw in ({}, {"placement": EB}): - cfg = ngc.FlowPolicyConfig(routing=ngc.Pinned(foreign), **kw) - with pytest.raises(ValueError, match=exact("program belongs to another graph")): - ngc.FlowPolicy(ledger, 0, 1, cfg) + cfg = ngc.FlowPolicyConfig(routing=ngc.Pinned(foreign)) + with pytest.raises(ValueError, match=exact("program belongs to another graph")): + ngc.FlowPolicy(ledger, 0, 1, cfg) other = par2(4, 8) cfg = ngc.FlowPolicyConfig( routing=ngc.Pinned(prog, black_holes=other.eligibility(excluded_edges=[0])) @@ -676,7 +1218,7 @@ def test_pinned_texts(): # Several sources and destinations. d = graph(4, REL) many = tunnels(d, [0, 1], [3], [(0, [0, 2], 1), (1, [1, 2], 1)]) - assert pinned(d, many).place(INF).placed == 10 + assert pinned(d, many).place(INF).call_delivered == 10 # ---------------------------------------------------------------- L: lossless bounds @@ -686,7 +1228,7 @@ def bound(g, specs, sources=(0,), destinations=(1,)): return ( pinned(g, tunnels(g, list(sources), list(destinations), specs)) .place(INF) - .placed + .call_delivered ) @@ -708,14 +1250,14 @@ def test_duplicates_and_zero_weight_records(): p = pinned(g, tunnels(g, [0], [1], [(0, [0], 1), (0, [1], 1), (0, [1], 1)])) r = p.place(12) recs = p.records() - assert [rec.entry for rec in recs] == [0, 1, 2] + assert [rec.entry_id for rec in recs] == [0, 1, 2] assert [rec.delivered for rec in recs] == [4, 4, 4] assert len({rec.flow_id for rec in recs}) == 3 assert rows(r) == [(i, 0, UP, 4, 4, 0) for i in range(3)] z = pinned(g, tunnels(g, [0], [1], [(0, [0], 0), (0, [1], 1)])) r = z.place(INF) - assert r.placed == 8 - assert [(rec.entry, rec.delivered) for rec in z.records()] == [(0, 0), (1, 8)] + assert r.call_delivered == 8 + assert [(rec.entry_id, rec.delivered) for rec in z.records()] == [(0, 0), (1, 8)] def test_increments(): @@ -723,39 +1265,46 @@ def test_increments(): g = graph(3, INC) prog = tunnels(g, [0, 1], [2], [(0, [0], 1), (1, [1], 1)]) p = pinned(g, prog) - assert [p.place(3).placed, p.place(1).placed] == [2, 0] + assert [p.place(3).call_delivered, p.place(1).call_delivered] == [2, 0] q = pinned(g, prog, LOSSY) r1 = q.place(3) - assert (r1.placed, r1.call_drops) == (2, [(0, 1)]) - assert q.place(1).placed == 1 + assert (r1.call_delivered, r1.call_edge_drops) == (2, [(0, 1)]) + assert q.place(1).call_delivered == 1 # A Lossless increment's refused units. one = graph(2, ONE) ledger = ngc.FlowLedger(one) other = ngc.FlowPolicy(ledger, 0, 1, cost_only()) other.place(8) p = pinned(one, tunnels(one, [0], [1], [(0, [0], 1)]), ledger=ledger) - assert p.place(5).placed == 2 + assert p.place(5).call_delivered == 2 other.remove() other.place(5) - assert p.place(1).placed == 1 + assert p.place(1).call_delivered == 1 def test_infinite_and_mixed(): g = par2(6, 4) prog = tunnels(g, [0], [1], [(0, [0], 1), (0, [1], 1)]) r = pinned(g, prog).place(INF) - assert (r.placed, r.termination, r.remaining) == (9, T.EXHAUSTED, INF) + assert (r.call_delivered, r.termination, r.call_undelivered) == ( + 9, + T.EXHAUSTED, + INF, + ) with pytest.raises( ValueError, match=exact("LOSSY forwarding requires a finite offer") ): pinned(g, prog, LOSSY).place(INF) h = par2(4, 8) mixed = ngc.ForwardingProgram.from_routes( - h, [0], [1], [ngc.Route(0, path(h, [0])), ngc.Route(0, dag(h, [1]))] + h, + [0], + [1], + [ngc.RouteDefinition(0, path(h, [0])), ngc.RouteDefinition(0, dag(h, [1]))], ) p = pinned(h, mixed) - assert p.place(INF).placed == 8 - assert [(rec.entry, rec.delivered) for rec in p.records()] == [(0, 4), (1, 4)] + assert p.place(INF).call_delivered == 8 + assert [(rec.entry_id, rec.delivered) for rec in p.records()] == [(0, 4), (1, 4)] def test_split_contexts(): @@ -763,14 +1312,14 @@ def test_split_contexts(): g = par2(1, 1) d = dag(g, [0, 1]) prog = ngc.ForwardingProgram.from_routes( - g, [0], [1], [ngc.Route(0, d), ngc.Route(0, d)] + g, [0], [1], [ngc.RouteDefinition(0, d), ngc.RouteDefinition(0, d)] ) - assert pinned(g, prog).place(INF).placed == 1 + assert pinned(g, prog).place(INF).call_delivered == 1 r = pinned(g, prog, LOSSY).replace(2, outputs=ngc.OutputOptions(edge_flows=True)) - assert r.call_drops == [(0, 1)] + assert r.call_edge_drops == [(0, 1)] pooled = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cost_only()) r = pooled.place(INF, ngc.OutputOptions(edge_flows=True)) - assert (r.placed, r.edge_flows.tolist()) == (2, [1, 1]) + assert (r.call_delivered, r.edge_flows.tolist()) == (2, [1, 1]) # ---------------------------------------------------------------- Y: losses inside one program @@ -778,7 +1327,7 @@ def test_split_contexts(): def lossy_rows(g, sources, destinations, specs, offer, **kw): r = pinned(g, tunnels(g, sources, destinations, specs), LOSSY, **kw).replace(offer) - return r, [(t.assigned, t.delivered, t.dropped) for t in r.by_tunnel] + return r, [(t.assigned, t.delivered, t.total_edge_drops) for t in r.by_tunnel] def test_loss_rule(): @@ -798,11 +1347,11 @@ def test_loss_rule(): assert [d for _, d, _ in got] == [1, 0, 0] # the split hierarchy zero = graph(2, [(0, 1, 0)]) r, got = lossy_rows(zero, [0], [1], [(0, [0], 1)], 2) - assert got == [(2, 0, 2)] and r.call_drops == [(0, 2)] # a link of service 0 + assert got == [(2, 0, 2)] and r.call_edge_drops == [(0, 2)] # a link of service 0 r, got = lossy_rows( graph(4, PINLOSS), [0], [3], [(0, [0, 2], 1), (0, [1, 3], 1)], 12 ) - assert got == [(6, 2, 4), (6, 6, 0)] and r.call_drops == [(2, 4)] + assert got == [(6, 2, 4), (6, 6, 0)] and r.call_edge_drops == [(2, 4)] def test_subdivision(): @@ -849,7 +1398,7 @@ def test_cycles(): # The rounds from zero settle at round 3. g = cyc(1, 1) r, got = lossy_rows(g, [4], [5], [(4, CYC_T0, 1), (4, CYC_T1, 1)], 2) - assert got == [(1, 1, 0), (1, 0, 1)] and r.call_drops == [(3, 1)] + assert got == [(1, 1, 0), (1, 0, 1)] and r.call_edge_drops == [(3, 1)] # Period two. g = cyc(1, 2) ledger = ngc.FlowLedger(g) @@ -913,7 +1462,7 @@ def cycs(x, y, z): t0, t1 = [6, 0, 1, 3, 8, 5], [7, 3, 8, 4, 0, 2] r, got = lossy_rows(cycs(1, 1, 1), [4], [5], [(4, t0, 1), (4, t1, 1)], 2) - assert got == [(1, 1, 0), (1, 0, 1)] and r.call_drops == [(3, 1)] + assert got == [(1, 1, 0), (1, 0, 1)] and r.call_edge_drops == [(3, 1)] g = cycs(1, 2, 2) with pytest.raises( ValueError, match=exact("lossy forwarding iteration entered a period-2 cycle") @@ -925,29 +1474,34 @@ def cycs(x, y, z): def test_replay(): - # A Global program replayed with its first path failed. + # A CentralizedTE program replayed with its first path failed. g = graph(4, G1U) prog = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, global_()).replace(12).program assert listing(prog) == [(0, [0, 2], 2), (0, [1, 3], 10)] fail = g.eligibility(excluded_edges=[2]) p = pinned(g, prog, LOSSY, fail) r = p.replace(12) - assert (r.placed, rows(r)) == (10, [(0, 0, FAILED, 0, 0, 0), (1, 0, UP, 12, 10, 2)]) + assert (r.call_delivered, rows(r)) == ( + 10, + [(0, 0, FAILED, 0, 0, 0), (1, 0, UP, 12, 10, 2)], + ) recs = p.records() - assert recs[0].route_cost is None and recs[0].bundle.via_edges().tolist() == [] - assert pinned(g, prog, LOSSLESS, fail).place(INF).placed == 10 + assert recs[0].min_route_cost is None and recs[0].route.via_edges().tolist() == [] + assert pinned(g, prog, LOSSLESS, fail).place(INF).call_delivered == 10 zero = ngc.FlowLedger(g, [2, 0, 2, 10]) r = pinned(g, prog, LOSSY, ledger=zero).replace(12) - assert r.placed == 2 and [t.status for t in r.by_tunnel] == [UP, UP] + assert r.call_delivered == 2 and [t.status for t in r.by_tunnel] == [UP, UP] # The surviving sources' captured weights. s = graph(4, SURV) surv = ngc.FlowPolicy(ngc.FlowLedger(s), [0, 1, 2], 3, global_()).place(9).program assert surv.source_weights == ((0, 3), (1, 1), (2, 5)) q = pinned(s, surv, LOSSY, s.eligibility(excluded_nodes=[2])) r = q.replace(16) - assert r.placed == 4 and [row.offered for row in r.by_source] == [12, 4, 0] + assert r.call_delivered == 4 and [row.offered for row in r.by_source] == [12, 4, 0] assert ( - pinned(s, surv, LOSSLESS, s.eligibility(excluded_nodes=[2])).place(INF).placed + pinned(s, surv, LOSSLESS, s.eligibility(excluded_nodes=[2])) + .place(INF) + .call_delivered == 4 ) @@ -959,20 +1513,24 @@ def test_replay_basis(): assert listing(prog) == [(0, [0], 5), (1, [1], 5)] mask = g.eligibility(excluded_edges=[1]) r = pinned(g, prog, LOSSY, mask).replace(10) - assert (r.placed, r.source_loss) == (5, 5) - assert pinned(g, prog, LOSSLESS, mask).place(INF).placed == 1 + assert (r.call_delivered, r.source_drops) == (5, 5) + assert pinned(g, prog, LOSSLESS, mask).place(INF).call_delivered == 1 sup = tunnels(g, [0, 1], [2], [(0, [0], 1), (1, [1], 1)]) r = pinned(g, sup, LOSSY, mask).replace(10) - assert (r.placed, r.call_drops) == (5, [(0, 5)]) - assert pinned(g, sup, LOSSLESS, mask).place(INF).placed == 5 + assert (r.call_delivered, r.call_edge_drops) == (5, [(0, 5)]) + assert pinned(g, sup, LOSSLESS, mask).place(INF).call_delivered == 5 # Every remaining weight 0. z = graph(3, [(0, 2, 5), (1, 2, 5)]) zp = ngc.FlowPolicy(ngc.FlowLedger(z), [0, 1], 2, global_()).place(1).program m = z.eligibility(excluded_nodes=[0]) r = pinned(z, zp, LOSSY, m).replace(4) - assert (r.termination, r.source_loss, r.placed) == (T.NO_ACTIVE_WEIGHT, 4, 0) + assert (r.termination, r.source_drops, r.call_delivered) == ( + T.NO_ACTIVE_WEIGHT, + 4, + 0, + ) r = pinned(z, zp, LOSSLESS, m).replace(4) - assert (r.termination, r.placed) == (T.NO_ACTIVE_WEIGHT, 0) + assert (r.termination, r.call_delivered) == (T.NO_ACTIVE_WEIGHT, 0) def test_replay_split_routes(): @@ -984,19 +1542,19 @@ def test_replay_split_routes(): .program ) r = pinned(g, prog, LOSSY, g.eligibility(excluded_edges=[3])).replace(100) - assert r.placed == 100 + assert r.call_delivered == 100 t = graph(4, TUN) tp = tunnels(t, [0], [3], [(0, [0, 2], 1), (0, [1, 3], 1)]) m = t.eligibility(excluded_nodes=[2]) r = pinned(t, tp, LOSSY, m).replace(10) - assert [s.status for s in r.by_tunnel] == [UP, FAILED] and r.placed == 10 + assert [s.status for s in r.by_tunnel] == [UP, FAILED] and r.call_delivered == 10 assert [s.assigned for s in r.by_tunnel] == [10, 0] - assert pinned(t, tp, LOSSLESS, m).place(INF).placed == 10 + assert pinned(t, tp, LOSSLESS, m).place(INF).call_delivered == 10 z = par2(0, 10) wp = ngc.FlowPolicy(ngc.FlowLedger(z), 0, 1, cost_only(W, LOSSY)).place(1).program fresh = par2(10, 10) r = pinned(z, wp, LOSSY, ledger=ngc.FlowLedger(z)).replace(5) - assert (r.placed, r.call_drops) == (5, []) + assert (r.call_delivered, r.call_edge_drops) == (5, []) del fresh @@ -1009,18 +1567,24 @@ def test_stale_examples(): p.replace(100) installed = p.program r = p.forward(100, black_holes=g.eligibility(excluded_edges=[3])) - assert (r.placed, r.call_drops) == (50, [(3, 50)]) # a stale remote tail + assert (r.call_delivered, r.call_edge_drops) == ( + 50, + [(3, 50)], + ) # a stale remote tail assert p.program is installed and not r.routes_changed and not r.weights_changed - assert p.replace(100).placed == 100 + assert p.replace(100).call_delivered == 100 w = graph(2, [(0, 1, 10), (0, 1, 40)]) q = ngc.FlowPolicy(ngc.FlowLedger(w), 0, 1, cost_only(W, LOSSY)) q.replace(40) r = q.forward(40, black_holes=w.eligibility(excluded_edges=[0])) - assert (r.placed, r.call_drops) == (32, [(0, 8)]) # a stale WCMP member + assert (r.call_delivered, r.call_edge_drops) == ( + 32, + [(0, 8)], + ) # a stale WCMP member wz = graph(2, [(0, 1, 0), (0, 1, 40)]) q = ngc.FlowPolicy(ngc.FlowLedger(wz), 0, 1, cost_only(W, LOSSY)) q.replace(1) - assert q.forward(40).placed == 40 # a stale WCMP member of capacity 0 + assert q.forward(40).call_delivered == 40 # a stale WCMP member of capacity 0 rel = graph(4, REL) prog = tunnels(rel, [0, 1], [3], [(0, [0, 2], 1), (1, [1, 2], 1)]) r = pinned(rel, prog, LOSSY).replace(20) @@ -1040,30 +1604,33 @@ def test_stale_tunnels_and_pools(): bh = t.eligibility(excluded_nodes=[2]) r = pinned(t, tp, LOSSY, black_holes=bh).replace(10) assert rows(r) == [(0, 0, UP, 5, 5, 0), (1, 0, BLACKHOLED, 5, 0, 5)] - assert r.call_drops == [(1, 5)] - assert pinned(t, tp, LOSSLESS, black_holes=bh).replace(10).placed == 1 + assert r.call_edge_drops == [(1, 5)] + assert pinned(t, tp, LOSSLESS, black_holes=bh).replace(10).call_delivered == 1 pool = graph(4, POOL2) p = ngc.FlowPolicy(ngc.FlowLedger(pool), [0, 1], 3, cost_only(admission=LOSSY)) p.replace(0) r = p.forward(2, outputs=ngc.OutputOptions(edge_flows=True)) - assert (r.placed, r.edge_flows.tolist()) == (2, [1, 1, 1, 1]) + assert (r.call_delivered, r.edge_flows.tolist()) == (2, [1, 1, 1, 1]) r = p.forward(2, black_holes=pool.eligibility(excluded_edges=[0, 3])) - assert (r.placed, r.call_drops) == (1, [(0, 1)]) # a stale pooled remainder + assert (r.call_delivered, r.call_edge_drops) == ( + 1, + [(0, 1)], + ) # a stale pooled remainder zero = graph(2, [(0, 1, 0)]) q = ngc.FlowPolicy(ngc.FlowLedger(zero), 0, 1, cost_only(W, LOSSY)) q.replace(0) r = q.forward(2) - assert (r.source_loss, r.termination) == (2, T.NO_ACTIVE_WEIGHT) + assert (r.source_drops, r.termination) == (2, T.NO_ACTIVE_WEIGHT) one = graph(2, ONE) q = ngc.FlowPolicy(ngc.FlowLedger(one), 0, 1, cost_only(admission=LOSSY)) q.replace(0) r = q.forward(10, black_holes=one.eligibility(excluded_nodes=[0])) - assert (r.source_loss, r.call_drops, r.placed) == (10, [], 0) + assert (r.source_drops, r.call_edge_drops, r.call_delivered) == (10, [], 0) op = tunnels(one, [0], [1], [(0, [0], 1)]) r = pinned(one, op, LOSSY, black_holes=one.eligibility(excluded_nodes=[0])).replace( 10 ) - assert rows(r) == [(0, 0, BLACKHOLED, 0, 0, 0)] and r.source_loss == 10 + assert rows(r) == [(0, 0, BLACKHOLED, 0, 0, 0)] and r.source_drops == 10 def test_stale_with_mask_and_global(): @@ -1086,7 +1653,7 @@ def test_stale_with_mask_and_global(): bh = g.eligibility(excluded_edges=[2]) r = pinned(g, prog, LOSSY, black_holes=bh).replace(12) assert rows(r) == [(0, 0, BLACKHOLED, 2, 0, 2), (1, 0, UP, 10, 10, 0)] - assert pinned(g, prog, LOSSLESS, black_holes=bh).replace(12).placed == 4 + assert pinned(g, prog, LOSSLESS, black_holes=bh).replace(12).call_delivered == 4 allowed = g.eligibility() assert rows(pinned(g, prog, LOSSY, black_holes=allowed).replace(12)) == rows( pinned(g, prog, LOSSY).replace(12) @@ -1104,12 +1671,12 @@ def test_evaluate_publishes_nothing(): def state(): return ledger.residual().tolist(), [ - (x.flow_id, x.delivered, x.edges) for x in p.records() + (x.flow_id, x.delivered, x.edge_flows) for x in p.records() ] before = state() r = p.evaluate(12) - assert (r.placed, r.delivery_delta) == (12, 6) and r.program is not None + assert (r.call_delivered, r.delivery_delta) == (12, 6) and r.program is not None assert state() == before assert p.place(0).requested == 6 gl = ngc.FlowPolicy(ngc.FlowLedger(graph(4, B1)), [0, 1], 3, global_()) @@ -1117,7 +1684,7 @@ def state(): out = ngc.OutputOptions(edge_flows=True, residual=True, min_cut=True) r = gl.evaluate(12, outputs=out) assert r.edge_flows.tolist() == [2, 10, 10] and r.residual.tolist() == [0, 0, 0] - assert r.min_cut == [0, 1] and gl.placed_demand() == 2 + assert r.min_cut == [0, 1] and gl.delivered() == 2 def test_replace_and_epochs(): @@ -1132,36 +1699,40 @@ def test_replace_and_epochs(): ledger.record(old) assert p.records()[0].flow_id != old r = p.replace(INF) - assert (r.placed, r.remaining, r.termination) == (20, INF, T.EXHAUSTED) + assert (r.call_delivered, r.call_undelivered, r.termination) == ( + 20, + INF, + T.EXHAUSTED, + ) q = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cost_only()) q.replace(10) r = q.replace(4) - assert (r.placed, r.delivery_delta) == (4, -6) + assert (r.call_delivered, r.delivery_delta) == (4, -6) ids = [rec.flow_id for rec in q.records()] r = q.place(3) - assert (r.placed, r.requested, r.admitted) == (3, 7, 7) + assert (r.call_delivered, r.requested, r.admitted) == (3, 7, 7) assert [rec.flow_id for rec in q.records()] == ids lossy = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cost_only(admission=LOSSY)) lossy.replace(6) r = lossy.place(3) - assert (r.placed, r.offered, r.requested) == (3, 9, 9) + assert (r.call_delivered, r.offered, r.requested) == (3, 9, 9) def test_forward_keeps_the_program_and_flags(): g = par2(10, 10) ledger = ngc.FlowLedger(g, [2, 10]) a = ngc.FlowPolicy( - ledger, 0, 1, cost_only(W, weights=ngc.WeightBasis.RESIDUAL_SNAPSHOT) + ledger, 0, 1, cost_only(W, weight_basis=ngc.WeightBasis.RESIDUAL_SNAPSHOT) ) - assert a.replace(6).placed == 6 + assert a.replace(6).call_delivered == 6 b = pinned(g, tunnels(g, [0], [1], [(0, [1], 1)]), ledger=ledger) b.place(5) r = a.forward(12) - assert (r.placed, r.routes_changed, r.weights_changed) == (6, False, False) + assert (r.call_delivered, r.routes_changed, r.weights_changed) == (6, False, False) r = a.replace(12) - assert (r.placed, r.routes_changed, r.weights_changed) == (7, False, True) + assert (r.call_delivered, r.routes_changed, r.weights_changed) == (7, False, True) r = a.replace(12) - assert (r.placed, r.routes_changed, r.weights_changed) == (7, False, False) + assert (r.call_delivered, r.routes_changed, r.weights_changed) == (7, False, False) def test_forward_texts_and_order(): @@ -1198,7 +1769,7 @@ def test_forward_texts_and_order(): ngc.FlowLedger(g), 0, 1, - ngc.FlowPolicyConfig(routing=ngc.CapacityAware(ngc.Tunnels(1))), + ngc.FlowPolicyConfig(routing=ngc.DistributedTE(ngc.TunnelCount(1))), ) with pytest.raises( ValueError, match=exact("forward requires an installed program") @@ -1250,16 +1821,17 @@ def test_controller_flags(): gu = graph(4, G1U) c = ngc.FlowPolicy(ngc.FlowLedger(gu), 0, 3, global_()) c.replace(12) - assert c.forward(12).placed == 12 + assert c.forward(12).call_delivered == 12 r = c.forward(20) - assert (r.placed, r.termination) == (12, T.EXHAUSTED) + assert (r.call_delivered, r.termination) == (12, T.EXHAUSTED) # ---------------------------------------------------------------- D, Z: records and rows def test_pooled_records_in_pinned(): - # A CostOnly program in Pinned keeps the attribution of 5.1. + # A ShortestPaths program in Pinned keeps the pooled attribution (each source's share of a + # shared router's traffic by highest averages). g = graph(4, POOL2) prog = ( ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, cost_only(admission=LOSSY)) @@ -1268,7 +1840,7 @@ def test_pooled_records_in_pinned(): ) p = pinned(g, prog, LOSSY) p.replace(2) - assert [(rec.entry, rec.edges) for rec in p.records()] == [ + assert [(rec.entry_id, rec.edge_flows) for rec in p.records()] == [ (0, [(0, 1), (2, 1)]), (1, [(1, 1), (3, 1)]), ] @@ -1284,101 +1856,103 @@ def test_wide_rows(): total = 5 * big assert total > 1 << 64 assert rows(r) == [(0, 0, UP, total, 0, total)] - assert r.offered == total and r.drops == [(0, total)] and r.source_loss == 0 + assert r.offered == total and r.edge_drops == [(0, total)] and r.source_drops == 0 rec = p.records()[0] - assert rec.offered == total and rec.drops == [(0, total)] + assert rec.offered == total and rec.edge_drops == [(0, total)] # ---------------------------------------------------------------- E: evaluators -def test_query_options_offered(): +def test_evaluation_options_offer(): g = par2(6, 4) prog = tunnels(g, [0], [1], [(0, [0], 1), (0, [1], 1)]) cfg = ngc.FlowPolicyConfig(routing=ngc.Pinned(prog)) - assert ngc.QueryOptions(cfg, offered=5).offered == 5 - assert ngc.QueryOptions(cfg).offered is None - assert ngc.QueryOptions(cfg, offered=INF).offered == INF - r = ngc.capacity(g, 0, 1, ngc.QueryOptions(cfg)) - assert (r.placed, r.termination) == (9, T.EXHAUSTED) + # The offer is kept as given; the evaluator checks it. + assert ngc.EvaluationOptions(cfg, offer=5).offer == 5 + assert ngc.EvaluationOptions(cfg).offer is None + assert ngc.EvaluationOptions(cfg, offer=INF).offer == INF + assert ngc.EvaluationOptions(cfg, offer=-1).offer == -1 + r = ngc.evaluate_demand(g, 0, 1, ngc.EvaluationOptions(cfg)) + assert (r.call_delivered, r.termination) == (9, T.EXHAUSTED) pl = graph(4, PINLOSS) lp = tunnels(pl, [0], [3], [(0, [0, 2], 1), (0, [1, 3], 1)]) lcfg = ngc.FlowPolicyConfig(routing=ngc.Pinned(lp), admission=LOSSY) - assert ngc.capacity(pl, 0, 3, ngc.QueryOptions(lcfg, offered=12)).placed == 8 - texts = [ - (ngc.QueryOptions(lcfg), "Pinned LOSSY capacity requires finite offered"), - ( - ngc.QueryOptions(lcfg, offered=INF), - "Pinned LOSSY capacity requires finite offered", - ), - ( - ngc.QueryOptions(cost_only(admission=LOSSY), offered=5), - "CostOnly LOSSY capacity uses first-hop injection", - ), - ( - ngc.QueryOptions(cost_only(), offered=5), - "CostOnly LOSSLESS capacity does not accept offered", - ), - ( - ngc.QueryOptions(global_(), offered=5), - "Global LOSSLESS capacity does not accept offered", - ), - ( - ngc.QueryOptions(cfg, offered=5), - "Pinned LOSSLESS capacity does not accept offered", - ), + assert ( + ngc.evaluate_demand( + pl, 0, 3, ngc.EvaluationOptions(lcfg, offer=12) + ).call_delivered + == 8 + ) + domain = "offer must be an integer in [0, 2^62)" + for opts, text in ( ( - ngc.QueryOptions( - ngc.FlowPolicyConfig(routing=ngc.CapacityAware(ngc.Tunnels(1))), - design_demand=4, - offered=5, - ), - "T1 LOSSLESS capacity does not accept offered", + ngc.EvaluationOptions(lcfg), + "Pinned LOSSY evaluation requires a finite offer", ), - ] - graphs = {id(lcfg): pl} - for opts, text in texts: - gg = graphs.get( - id(opts.config), - pl - if opts.config.routing.__class__ is ngc.Pinned - and opts.config.admission == LOSSY - else g, - ) + (ngc.EvaluationOptions(lcfg, offer=INF), domain), + (ngc.EvaluationOptions(lcfg, offer=-1), domain), + (ngc.EvaluationOptions(lcfg, offer=4.0), domain), + (ngc.EvaluationOptions(lcfg, offer=1 << 62), domain), + ): with pytest.raises(ValueError, match=exact(text)): - ngc.capacity(gg, 0, 3 if gg is pl else 1, opts) - with pytest.raises( - ValueError, - match=exact("offered must be an integer in [0, 2^62) or permitted +inf"), + ngc.evaluate_demand(pl, 0, 3, opts) + # A finite offer for every model under each admission it supports. + t1 = ngc.FlowPolicyConfig(routing=ngc.DistributedTE(ngc.TunnelCount(1))) + for opts in ( + ngc.EvaluationOptions(cost_only(admission=LOSSY), offer=5), + ngc.EvaluationOptions(cost_only(), offer=5), + ngc.EvaluationOptions(global_(), offer=5), + ngc.EvaluationOptions(cfg, offer=5), + ngc.EvaluationOptions(t1, design_demand=6, offer=5), ): - ngc.QueryOptions(cfg, offered=-1) + assert ngc.evaluate_demand(g, 0, 1, opts).call_delivered == 5 with pytest.raises( - ValueError, match=exact("batch_capacity does not accept Pinned") + ValueError, match=exact("evaluate_pairs does not accept Pinned") ): - ngc.batch_capacity(g, [([0], [1])], ngc.QueryOptions(cfg)) + ngc.evaluate_pairs(g, [([0], [1])], ngc.EvaluationOptions(cfg)) -def test_pinned_sensitivity(): +def test_pinned_edge_failures(): pl = graph(4, PINLOSS) lp = tunnels(pl, [0], [3], [(0, [0, 2], 1), (0, [1, 3], 1)]) cfg = ngc.FlowPolicyConfig(routing=ngc.Pinned(lp)) - s = ngc.sensitivity(pl, 0, 3, ngc.QueryOptions(cfg), workers=1) - assert s.baseline.placed == 4 - assert [(e.edge, e.loss) for e in s.entries] == [(0, -6), (1, 2), (2, -6), (3, 2)] + s = ngc.evaluate_edge_failures(pl, 0, 3, ngc.EvaluationOptions(cfg), workers=1) + assert s.baseline.call_delivered == 4 + assert [(e.edge, e.delivery_reduction) for e in s.entries] == [ + (0, -6), + (1, 2), + (2, -6), + (3, 2), + ] lcfg = ngc.FlowPolicyConfig(routing=ngc.Pinned(lp), admission=LOSSY) - s = ngc.sensitivity(pl, 0, 3, ngc.QueryOptions(lcfg, offered=12), workers=1) - assert s.baseline.placed == 8 - assert [(e.edge, e.loss) for e in s.entries] == [(0, -2), (1, 6), (2, -2), (3, 6)] - s2 = ngc.sensitivity(pl, 0, 3, ngc.QueryOptions(lcfg, offered=12), workers=2) - assert [(e.edge, e.loss) for e in s2.entries] == [ - (e.edge, e.loss) for e in s.entries + s = ngc.evaluate_edge_failures( + pl, 0, 3, ngc.EvaluationOptions(lcfg, offer=12), workers=1 + ) + assert s.baseline.call_delivered == 8 + assert [(e.edge, e.delivery_reduction) for e in s.entries] == [ + (0, -2), + (1, 6), + (2, -2), + (3, 6), ] - es = graph(4, ES) - sup = ngc.sensitivity( - es, 0, 3, ngc.QueryOptions(global_(support=dag(es, [1, 3]))), workers=1 + s2 = ngc.evaluate_edge_failures( + pl, 0, 3, ngc.EvaluationOptions(lcfg, offer=12), workers=2 ) - assert sup.baseline.placed == 10 - assert [(e.edge, e.loss) for e in sup.entries] == [(0, 0), (1, 10), (2, 0), (3, 10)] + assert [(e.edge, e.delivery_reduction) for e in s2.entries] == [ + (e.edge, e.delivery_reduction) for e in s.entries + ] + es = graph(4, ES) + sup = ngc.evaluate_edge_failures( + es, 0, 3, ngc.EvaluationOptions(global_(support=dag(es, [1, 3]))), workers=1 + ) + assert sup.baseline.call_delivered == 10 + assert [(e.edge, e.delivery_reduction) for e in sup.entries] == [ + (0, 0), + (1, 10), + (2, 0), + (3, 10), + ] # ---------------------------------------------------------------- properties (program_oracle.py) @@ -1449,9 +2023,9 @@ def random_tunnel_program(rng): def test_tunnel_programs_against_the_oracle(): - # Random tunnel programs, with and without a failure mask: the by_tunnel amounts (8.1), the - # LOSSY rows and edge loads (9.1, 9.2, nested split at each link), conservation, and the - # LOSSLESS bound with its maximality (8.3). + # Random tunnel programs, with and without a failure mask: the by_tunnel amounts, the LOSSY + # rows and edge loads (the loss rule, nested split at each link), conservation, and the + # LOSSLESS bound with its maximality. import random import program_oracle as orc @@ -1471,7 +2045,7 @@ def test_tunnel_programs_against_the_oracle(): if rng.random() < 0.5 else rng.sample(range(len(rows_)), min(len(rows_), rng.randint(1, 3))) ) - elig = g.eligibility(excluded_edges=excluded) if excluded else None + eligibility = g.eligibility(excluded_edges=excluded) if excluded else None alive = [not (set(es) & set(excluded)) for _, es, _ in specs] roster = orc.replay_roster(specs, rows_, excluded, [n - 1]) kept_without_entry += any( @@ -1480,28 +2054,30 @@ def test_tunnel_programs_against_the_oracle(): ) offer = rng.randint(0, 40) amounts, lost = orc.entry_amounts(offer, specs, alive, roster=roster) - r = pinned(g, prog, LOSSY, elig=elig).replace( + r = pinned(g, prog, LOSSY, eligibility=eligibility).replace( offer, outputs=ngc.OutputOptions(edge_flows=True) ) - assert [t.index for t in r.by_tunnel] == list(range(len(specs))) # list order + assert [t.entry_id for t in r.by_tunnel] == list( + range(len(specs)) + ) # list order assert [t.assigned for t in r.by_tunnel] == amounts assert [t.status for t in r.by_tunnel] == [UP if a else FAILED for a in alive] want_rows, want_edges = orc.lossy(specs, amounts, caps) - assert [(t.delivered, t.dropped) for t in r.by_tunnel] == want_rows + assert [(t.delivered, t.total_edge_drops) for t in r.by_tunnel] == want_rows assert r.edge_flows.tolist() == want_edges - assert r.source_loss == lost + assert r.source_drops == lost assert ( r.offered == offer - == r.delivered + sum(d for _, d in r.drops) + r.source_loss + == r.delivered + sum(d for _, d in r.edge_drops) + r.source_drops ) b = orc.lossless_bound(specs, caps, alive, roster=roster) - lossless = pinned(g, prog, LOSSLESS, elig=elig) + lossless = pinned(g, prog, LOSSLESS, eligibility=eligibility) got = lossless.replace(INF, outputs=ngc.OutputOptions(edge_flows=True)) - assert got.placed == b + assert got.call_delivered == b assert all(f <= c for f, c in zip(got.edge_flows.tolist(), caps, strict=True)) if b < 40: - assert lossless.replace(b + 1).placed == b # b + 1 does not fit + assert lossless.replace(b + 1).call_delivered == b # b + 1 does not fit checked += 1 masked_checked += bool(excluded) # Not vacuous: masks, and heads the replay keeps without a surviving tunnel. @@ -1511,7 +2087,7 @@ def test_tunnel_programs_against_the_oracle(): def test_export_replay_property(): - # Over random graphs: a Global program (both origins) forwarded by Pinned on a fresh + # Over random graphs: a CentralizedTE program (both source allocations) forwarded by Pinned on a fresh # ledger places the same amount on the same edges; its rows split each head's share over # its tunnels exactly by the tunnel weights. import random @@ -1525,20 +2101,27 @@ def test_export_replay_property(): rows_ = random_dag(rng, n) g = graph(n, rows_) sources = [0, 1] if rng.random() < 0.5 else [0] - origin = rng.choice((ngc.Origin.OPTIMIZED, ngc.Origin.EQUAL)) - offer = rng.randint(1, 30) - r = ngc.FlowPolicy(ngc.FlowLedger(g), sources, n - 1, global_(origin)).place( - offer, ngc.OutputOptions(edge_flows=True) + source_allocation = rng.choice( + (ngc.SourceAllocation.OPTIMIZED, ngc.SourceAllocation.EQUAL) ) - if r.placed == 0: + offer = rng.randint(1, 30) + r = ngc.FlowPolicy( + ngc.FlowLedger(g), sources, n - 1, global_(source_allocation) + ).place(offer, ngc.OutputOptions(edge_flows=True)) + if r.call_delivered == 0: continue prog = r.program - replay = pinned(g, prog).place(r.placed, ngc.OutputOptions(edge_flows=True)) - assert (replay.placed, replay.termination) == (r.placed, T.COMPLETE) + replay = pinned(g, prog).place( + r.call_delivered, ngc.OutputOptions(edge_flows=True) + ) + assert (replay.call_delivered, replay.termination) == ( + r.call_delivered, + T.COMPLETE, + ) assert replay.edge_flows.tolist() == r.edge_flows.tolist() specs = [(t.head, list(t.edges), t.weight) for t in prog.tunnels] amounts, lost = orc.entry_amounts( - r.placed, specs, source_weights=prog.source_weights + r.call_delivered, specs, source_weights=prog.source_weights ) assert lost == 0 and amounts == [t.weight for t in prog.tunnels] assert [t.assigned for t in replay.by_tunnel] == amounts @@ -1547,9 +2130,9 @@ def test_export_replay_property(): def test_global_support_optimality_certificate(): - # Global(support) over random supports: the value is the support's maximum flow (an + # CentralizedTE(support) over random supports: the value is the support's maximum flow (an # independent Edmonds-Karp), the flow uses only the support, fits and is conserved, and the - # optimized origin leaves no negative-cost residual cycle (a minimum-cost maximum flow). + # optimized source allocation leaves no negative-cost residual cycle (a minimum-cost maximum flow). import random import program_oracle as orc @@ -1570,7 +2153,7 @@ def test_global_support_optimality_certificate(): flow = r.edge_flows.tolist() arcs = [(rows_[e][0], rows_[e][1], rows_[e][2]) for e in support] value, _ = orc.max_flow(n, arcs, sources, [n - 1]) - assert r.placed == value + assert r.call_delivered == value assert all(f == 0 for e, f in enumerate(flow) if e not in support) assert all(f <= rows_[e][2] for e, f in enumerate(flow)) for v in range(n): @@ -1594,61 +2177,71 @@ def test_global_support_optimality_certificate(): def test_mapping(): # today's Pinned uses mapped onto programs (values derived by hand). - split = ngc.FlowPlacement.WEIGHTED - # One EqualBalanced DAG route over DIAM: Lossless 200; Lossy place(100) delivers 100. + split = ngc.RouteAllocation.WEIGHTED + # One Equal DAG route over DIAM: Lossless 200; Lossy place(100) delivers 100. g = graph(4, DIAM) one = ngc.ForwardingProgram.from_routes( - g, 0, 3, [ngc.Route(0, dag(g, [0, 1, 2, 3]))] + g, 0, 3, [ngc.RouteDefinition(0, dag(g, [0, 1, 2, 3]))] ) - assert pinned(g, one).place(INF).placed == 200 - assert pinned(g, one, LOSSY).place(100).placed == 100 + assert pinned(g, one).place(INF).call_delivered == 200 + assert pinned(g, one, LOSSY).place(100).call_delivered == 100 # Weighted with capacity weights (the default basis): 200; with the residual snapshot # (100, 50, 100, 50), node 0 splits by H(x, (100, 50)): H(150) = (100, 50) fits, H(151) = # (101, 50) does not. w = ngc.ForwardingProgram.from_routes( - g, 0, 3, [ngc.Route(0, dag(g, [0, 1, 2, 3]))], placement=split + g, 0, 3, [ngc.RouteDefinition(0, dag(g, [0, 1, 2, 3]))], allocation=split ) - assert pinned(g, w).place(INF).placed == 200 + assert pinned(g, w).place(INF).call_delivered == 200 snap = ngc.ForwardingProgram.from_routes( g, 0, 3, - [ngc.Route(0, dag(g, [0, 1, 2, 3]))], - placement=split, - weights=ngc.WeightBasis.RESIDUAL_SNAPSHOT, + [ngc.RouteDefinition(0, dag(g, [0, 1, 2, 3]))], + allocation=split, + weight_basis=ngc.WeightBasis.RESIDUAL_SNAPSHOT, residual=[100, 50, 100, 50], ) - assert pinned(g, snap).place(INF).placed == 150 - # Two one-edge DAG routes on PAR2(6, 4): EqualBalanced and Weighted both split by round - # robin over the entries: 9; Global(support) over both edges: 10. + assert pinned(g, snap).place(INF).call_delivered == 150 + # Two one-edge DAG routes on PAR2(6, 4): Equal and Weighted both split by round + # robin over the entries: 9; CentralizedTE(support) over both edges: 10. g = par2(6, 4) - for options in ({}, {"placement": split}): + for options in ({}, {"allocation": split}): two = ngc.ForwardingProgram.from_routes( - g, 0, 1, [ngc.Route(0, dag(g, [0])), ngc.Route(0, dag(g, [1]))], **options + g, + 0, + 1, + [ngc.RouteDefinition(0, dag(g, [0])), ngc.RouteDefinition(0, dag(g, [1]))], + **options, ) - assert pinned(g, two).place(INF).placed == 9 + assert pinned(g, two).place(INF).call_delivered == 9 assert ( ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, global_(support=dag(g, [0, 1]))) .place(INF) - .placed + .call_delivered == 10 ) # Two routes sharing e0 (4 units) on SHARE, Lossy place(10): RR(10, 2) = (5, 5) arrive at # e0, which carries H(4, (5, 5)) = (2, 2): records 2 and 2. g = graph(3, SHARE) shared = ngc.ForwardingProgram.from_routes( - g, 0, 2, [ngc.Route(0, dag(g, [0, 1])), ngc.Route(0, dag(g, [0, 2]))] + g, + 0, + 2, + [ + ngc.RouteDefinition(0, dag(g, [0, 1])), + ngc.RouteDefinition(0, dag(g, [0, 2])), + ], ) p = pinned(g, shared, LOSSY) - assert p.place(10).placed == 4 + assert p.place(10).call_delivered == 4 assert [rec.delivered for rec in p.records()] == [2, 2] - # One MaxFlow bundle becomes Global(support): ES over all four links, 12 at cost 34, one + # One Optimized route becomes CentralizedTE(support): ES over all four links, 12 at cost 34, one # record per source with the used edges and no entry. g = graph(4, ES) p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, global_(support=dag(g, [0, 1, 2, 3]))) r = p.place(INF) - assert (r.placed, r.total_cost) == (12, 34) - assert [(rec.entry, list(rec.bundle.via_edges())) for rec in p.records()] == [ + assert (r.call_delivered, r.total_cost) == (12, 34) + assert [(rec.entry_id, list(rec.route.via_edges())) for rec in p.records()] == [ (None, [0, 1, 2, 3]) ] # Lossy +inf is refused. @@ -1661,12 +2254,14 @@ def test_mapping(): # Several sources and destinations are accepted. g = graph(4, B1) both = tunnels(g, [0, 1], [3], [(0, [0], 1), (1, [1, 2], 1)]) - assert pinned(g, both).place(4).placed == 4 + assert pinned(g, both).place(4).call_delivered == 4 # Duplicate routes are distinct entries: 12 over three records. g = par2(4, 8) dup = tunnels(g, [0], [1], [(0, [0], 1), (0, [1], 1), (0, [1], 1)]) p = pinned(g, dup) - assert p.place(INF).placed == 12 and [rec.entry for rec in p.records()] == [0, 1, 2] + assert p.place(INF).call_delivered == 12 and [ + rec.entry_id for rec in p.records() + ] == [0, 1, 2] # An empty route list. with pytest.raises(ValueError, match=exact("routes must not be empty")): ngc.ForwardingProgram.from_routes(g, 0, 1, []) @@ -1686,15 +2281,15 @@ def test_mapping(): def test_pinned_facts_of_the_retired_reference_fixtures(): # The Pinned facts that the removed reference fixtures held, derived again from the rules. - # pinned_bundle_rules: a split route's record reports its cheapest walk as route_cost: the + # pinned_bundle_rules: a split route's record reports its cheapest walk as min_route_cost: the # DAG {0 -> 1 (cost 1), 1 -> 2 (cost 2), 0 -> 2 (cost 4)} has walks of cost 3 and 4. g = graph(3, [(0, 1, 5, 1), (0, 2, 5, 4), (1, 2, 5, 2)]) prog = ngc.ForwardingProgram.from_routes( - g, [0], [2], [ngc.Route(0, dag(g, [0, 1, 2]))] + g, [0], [2], [ngc.RouteDefinition(0, dag(g, [0, 1, 2]))] ) p = pinned(g, prog) p.place(1) - assert [(rec.entry, rec.route_cost) for rec in p.records()] == [(0, 3)] + assert [(rec.entry_id, rec.min_route_cost) for rec in p.records()] == [(0, 3)] # eb_1_plus_2_vs_3: Lossless Pinned is additive: place(1); place(2) re-solves 3 from zero, # RR(3, 3) = (1, 1, 1), as place(3) does. g = graph(2, [(0, 1, 10), (0, 1, 10), (0, 1, 10)]) @@ -1705,13 +2300,13 @@ def test_pinned_facts_of_the_retired_reference_fixtures(): two = split.place(2, flows) one = pinned(g, prog).place(3, flows) assert two.edge_flows.tolist() == one.edge_flows.tolist() == [1, 1, 1] - assert (two.placed, one.placed) == (2, 3) + assert (two.call_delivered, one.call_delivered) == (2, 3) # admission_zero_and_no_route: every tunnel failed: the head reaches no destination over its # own routes, the replay roster is empty, a positive request ends NO_ROUTE. g = graph(4, TUN) prog = tunnels(g, [0], [3], [(0, [0, 2], 1), (0, [1, 3], 1)]) - r = pinned(g, prog, elig=g.eligibility(excluded_edges=[0, 1])).place(5) - assert (r.placed, r.termination) == (0, T.NO_ROUTE) + r = pinned(g, prog, eligibility=g.eligibility(excluded_edges=[0, 1])).place(5) + assert (r.call_delivered, r.termination) == (0, T.NO_ROUTE) assert [t.status for t in r.by_tunnel] == [FAILED, FAILED] # flag_zero_delivery_creation: a first place(1) on a tunnel whose only unit another owner # holds creates the record at zero delivery and installs the program (both flags); a second @@ -1722,7 +2317,7 @@ def test_pinned_facts_of_the_retired_reference_fixtures(): p = pinned(g, tunnels(g, [0], [1], [(0, [0], 1)]), ledger=ledger) r = p.place(1) ids = [rec.flow_id for rec in p.records()] - assert (r.placed, r.termination, r.routes_changed, r.weights_changed) == ( + assert (r.call_delivered, r.termination, r.routes_changed, r.weights_changed) == ( 0, T.EXHAUSTED, True, @@ -1730,7 +2325,7 @@ def test_pinned_facts_of_the_retired_reference_fixtures(): ) assert [rec.delivered for rec in p.records()] == [0] r = p.place(1) - assert (r.placed, r.routes_changed, r.weights_changed) == (0, False, False) + assert (r.call_delivered, r.routes_changed, r.weights_changed) == (0, False, False) assert [rec.flow_id for rec in p.records()] == ids @@ -1779,15 +2374,19 @@ def snapshot(): @needs_hooks def test_from_routes_and_getters_survive_python_allocation_failures(): - # from_routes and the getters of shared values make their objects through the checked path: + # from_routes, from_dag and the getters of shared values make their objects through the checked path: # a failed Python allocation raises, and the call that completes returns the clean value. g = graph(2, [(0, 1, 4), (0, 1, 8)]) - routes = [ngc.Route(0, path(g, [0])), ngc.Route(0, dag(g, [0, 1]), weight=2)] + routes = [ + ngc.RouteDefinition(0, path(g, [0])), + ngc.RouteDefinition(0, dag(g, [0, 1]), weight=2), + ] prog = ngc.ForwardingProgram.from_routes(g, [0], [1], routes) - # A Global result: its program has no Python object yet, so the getter makes one. + # A CentralizedTE result: its program has no Python object yet, so the getter makes one. result = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, global_()).place(3) calls = [ (ngc.ForwardingProgram.from_routes, (g, [0], [1], routes)), + (ngc.ForwardingProgram.from_dag, (g, [0], [1], dag(g, [0, 1]))), (lambda: result.program, ()), (lambda: result.by_tunnel, ()), (lambda: prog.tunnels, ()), @@ -1815,13 +2414,16 @@ def test_large_equal_weights_deliver_exactly_eight(kind, admission, w): 0, 1, cost_only( - W, admission, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[w] * 8 + W, + admission, + weight_basis=ngc.WeightBasis.EXPLICIT, + edge_weights=[w] * 8, ), ) r = p.replace(8, outputs=ngc.OutputOptions(edge_flows=True)) - assert r.placed == r.delivered == r.admitted == 8 + assert r.call_delivered == r.delivered == r.admitted == 8 assert r.edge_flows.tolist() == [1] * 8 - assert r.source_loss == r.call_source_loss == 0 + assert r.source_drops == r.call_source_drops == 0 @pytest.mark.parametrize("admission", [LOSSLESS, LOSSY]) @@ -1847,28 +2449,37 @@ def test_large_unequal_weights_split_by_highest_averages(admission): 0, 1, cost_only( - W, admission, weights=ngc.WeightBasis.EXPLICIT, edge_weights=weights + W, + admission, + weight_basis=ngc.WeightBasis.EXPLICIT, + edge_weights=weights, ), ), ): r = p.replace(9, outputs=ngc.OutputOptions(edge_flows=True)) - assert r.placed == 9 and r.edge_flows.tolist() == want and r.source_loss == 0 + assert ( + r.call_delivered == 9 + and r.edge_flows.tolist() == want + and r.source_drops == 0 + ) @pytest.mark.parametrize("method", ["replace", "evaluate", "forward"]) @pytest.mark.parametrize("case", ["no-route", "zero-weight"]) @pytest.mark.parametrize("admission", [LOSSLESS, LOSSY]) def test_full_zero_offer_is_complete(method, case, admission): - # A full zero offer is COMPLETE (14.2's first row), after its preparation: an empty + # A full zero offer is COMPLETE (the first termination rule), after its preparation: an empty # roster and a program without a positive weight alike. g = graph(2, [(0, 1, 10)]) - cfg = cost_only(W, admission, weights=ngc.WeightBasis.EXPLICIT, edge_weights=[0]) - elig = g.eligibility(excluded_edges=[0]) if case == "no-route" else None - p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg, elig) + cfg = cost_only( + W, admission, weight_basis=ngc.WeightBasis.EXPLICIT, edge_weights=[0] + ) + eligibility = g.eligibility(excluded_edges=[0]) if case == "no-route" else None + p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg, eligibility) if method == "forward": p.replace(1) r = getattr(p, method)(0) - assert r.termination == T.COMPLETE and r.placed == 0 + assert r.termination == T.COMPLETE and r.call_delivered == 0 assert r.program is not None # prepared @@ -1881,7 +2492,7 @@ def test_full_zero_offer_is_complete_for_pinned(method, admission): g, tunnels(g, [0], [1], [(0, [0], 1)]), admission, - elig=g.eligibility(excluded_edges=[0]), + eligibility=g.eligibility(excluded_edges=[0]), ) zero = pinned(g, tunnels(g, [0], [1], [(0, [0], 0)]), admission) for p in (masked, zero): @@ -1891,7 +2502,7 @@ def test_full_zero_offer_is_complete_for_pinned(method, admission): @pytest.mark.parametrize("admission", [LOSSLESS, LOSSY]) @pytest.mark.parametrize("offer", [0, 5]) def test_all_failed_entries_still_have_records(admission, offer): - # One record per program entry also when every entry fails: zero, an empty bundle, + # One record per program entry also when every entry fails: zero, an empty route, # route cost None; replace retires and recreates them, an increment keeps them, evaluate # publishes nothing. g = graph(2, [(0, 1, 10)]) @@ -1899,18 +2510,18 @@ def test_all_failed_entries_still_have_records(admission, offer): g, tunnels(g, [0], [1], [(0, [0], 1)]), admission, - elig=g.eligibility(excluded_edges=[0]), + eligibility=g.eligibility(excluded_edges=[0]), ) - assert p.evaluate(offer).placed == 0 and p.records() == [] + assert p.evaluate(offer).call_delivered == 0 and p.records() == [] r = p.replace(offer) assert r.termination == (T.COMPLETE if offer == 0 else T.NO_ROUTE) rows = lambda: [ # noqa: E731 ( - rec.entry, + rec.entry_id, rec.delivered, - rec.edges, - rec.bundle.via_edges().tolist(), - rec.route_cost, + rec.edge_flows, + rec.route.via_edges().tolist(), + rec.min_route_cost, ) for rec in p.records() ] @@ -1921,10 +2532,10 @@ def test_all_failed_entries_still_have_records(admission, offer): assert rows() == [(0, 0, [], [], None)] and second != first # retired and recreated r = p.place(3) assert ( - r.placed == 0 and [rec.flow_id for rec in p.records()] == second + r.call_delivered == 0 and [rec.flow_id for rec in p.records()] == second ) # an increment keeps it if admission == LOSSY: - assert r.call_source_loss == 3 + assert r.call_source_drops == 3 def test_oracle_witnesses(): @@ -1950,9 +2561,9 @@ def test_oracle_witnesses(): g, tunnels(g, [0, 1], [5], specs), LOSSY, - elig=g.eligibility(excluded_edges=excluded), + eligibility=g.eligibility(excluded_edges=excluded), ).replace(2) - native = ([t.assigned for t in r.by_tunnel], r.source_loss) + native = ([t.assigned for t in r.by_tunnel], r.source_drops) # Head 0's tunnels both fail, but its basis keeps 1, 3, 5: it stays in the equal pool and # loses its unit; head 1 carries the other. roster = orc.replay_roster(specs, rows_, excluded, [5]) @@ -1960,22 +2571,22 @@ def test_oracle_witnesses(): assert orc.entry_amounts(2, specs, alive, roster=roster) == native == ([0, 0, 1], 1) # The old rule (the heads with a surviving tunnel) gives head 1 both units. assert orc.entry_amounts(2, specs, alive, roster=[1]) == ([0, 0, 2], 0) != native - # Captured weights all 0 (place(1)'s Global program, whose source 1 weighs 0, with source 0 + # Captured weights all 0 (place(1)'s CentralizedTE program, whose source 1 weighs 0, with source 0 # masked): the whole offer is lost. g = graph(3, [(0, 2, 5), (1, 2, 5)]) prog = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, global_()).place(1).program - r = pinned(g, prog, LOSSY, elig=g.eligibility(excluded_nodes=[0])).replace(4) + r = pinned(g, prog, LOSSY, eligibility=g.eligibility(excluded_nodes=[0])).replace(4) gspecs = [(t.head, list(t.edges), t.weight) for t in prog.tunnels] galive = [t.head != 0 for t in prog.tunnels] got = orc.entry_amounts( 4, gspecs, galive, source_weights=prog.source_weights, roster=[1] ) - assert got == ([0] * len(gspecs), 4) and r.source_loss == 4 + assert got == ([0] * len(gspecs), 4) and r.source_drops == 4 assert orc.entry_amounts(5, [(0, [0], 1)], source_weights=[(0, 0)]) == ([0], 5) -def test_global_record_bundle_is_its_share_inside_a_support(): - # A Global record's bundle is the set of edges that carry its share, also inside a supplied +def test_global_record_route_is_its_share_inside_a_support(): + # A CentralizedTE record's route is the set of edges that carry its share, also inside a supplied # support (semantics, "Records of the controllers"); it is the support itself only when the # share uses every support edge. Two paths to 3: 0-1-3 at cost 1 + 1 and 0-2-3 at cost 2 + 2, # capacity 10 each; the support is all four edges. @@ -1983,18 +2594,18 @@ def test_global_record_bundle_is_its_share_inside_a_support(): support = dag(g, [0, 1, 2, 3]) p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, global_(support=support)) # 3 units: the cheaper path carries them all (cost 2 per unit). - assert p.place(3).placed == 3 + assert p.place(3).call_delivered == 3 [rec] = p.records() - assert [(int(e), int(x)) for e, x in rec.edges] == [(0, 3), (2, 3)] - assert rec.bundle.via_edges().tolist() == [0, 2] - assert rec.route_cost == 2 + assert [(int(e), int(x)) for e, x in rec.edge_flows] == [(0, 3), (2, 3)] + assert rec.route.via_edges().tolist() == [0, 2] + assert rec.min_route_cost == 2 # 10 more: the cheap path fills at 10 and the other carries 3: every support edge, the same # value as the support. - assert p.place(10).placed == 10 + assert p.place(10).call_delivered == 10 [rec] = p.records() - assert rec.bundle.via_edges().tolist() == [0, 1, 2, 3] - assert rec.bundle == support - assert rec.route_cost == 2 + assert rec.route.via_edges().tolist() == [0, 1, 2, 3] + assert rec.route == support + assert rec.min_route_cost == 2 def test_change_flags_of_empty_programs_and_place_zero(): diff --git a/tests/py/test_public_surface.py b/tests/py/test_public_surface.py index a337095..9cc0b41 100644 --- a/tests/py/test_public_surface.py +++ b/tests/py/test_public_surface.py @@ -1,5 +1,5 @@ """The public surface: the graph on units, Eligibility, the conversions, the route structures, -the selection and placement axes, the ledger, the policy engine, the DagCache, the evaluators +the route choice and placement axes, the ledger, the policy engine, the ShortestPathCache, the evaluators and the public search; the extension's private entry, which netgraph_core never re-exports; the retired spellings and the retired search entry points, which exist nowhere, without aliases; and the argument checks of the bindings, each with its exception class and whole @@ -12,7 +12,7 @@ import _netgraph_core import numpy as np import pytest -from helpers import RES, config, exact, sel +from helpers import HIGHER_AVAIL, assert_read_only, config, exact from private_hooks import HOOKS import netgraph_core as ngc @@ -22,27 +22,25 @@ "Eligibility", "to_units", "as_float", - "PredDAG", + "PredecessorDAG", "Path", - "EdgeTieBreak", - "EdgePriority", - "PathSelection", - "FlowPlacement", + "RouteTieBreak", + "RouteAllocation", "Admission", - "Origin", + "SourceAllocation", "FlowLedger", "FlowRecord", - "Absolute", - "Stretch", - "Tunnels", - "CostOnly", - "CapacityAware", - "Global", + "AbsoluteCost", + "CostStretch", + "TunnelCount", + "ShortestPaths", + "DistributedTE", + "CentralizedTE", "Pinned", "WeightBasis", "TunnelStatus", "Tunnel", - "Route", + "RouteDefinition", "ForwardingProgram", "TunnelFlow", "TunnelPlan", @@ -52,15 +50,15 @@ "PlacementResult", "SourceFlow", "FlowPolicy", - "DagCache", - "DagCacheMiss", - "DagCacheStats", - "QueryOptions", + "ShortestPathCache", + "ShortestPathCacheMiss", + "ShortestPathCacheStats", + "EvaluationOptions", "SensitivityEntry", "SensitivityResult", - "capacity", - "batch_capacity", - "sensitivity", + "evaluate_demand", + "evaluate_pairs", + "evaluate_edge_failures", "Direction", "SpfOptions", "SpfResult", @@ -71,8 +69,8 @@ "resolve_to_paths", } -# The shipped private entry: the flow core's _place_global_units. -PRIVATE = {"_place_global_units"} +# The shipped private entry: the flow core's _solve_min_cost_flow. +PRIVATE = {"_solve_min_cost_flow"} # The private hooks (NETGRAPH_CORE_PRIVATE_HOOKS: the development build only): module functions # and class members. @@ -99,17 +97,17 @@ def test_public_surface(): for name in PUBLIC: assert getattr(ngc, name) is getattr(_netgraph_core, name), name assert isinstance(ngc.__version__, str) - # 52 entries with __version__ (DiminishingReturns and MAX_FLOWS_PER_CALL are gone, Tunnels - # and TunnelPlan are new). - assert len(ngc.__all__) == 52 + # 50 entries with __version__ (RouteTieBreak replaces the three earlier route-choice types). + assert len(ngc.__all__) == 50 def test_enum_values_are_pinned(): - # The integer values of the public enumerations (contract 14.1, 14.2). + # The promised integer values of the public enumerations (docs/semantics.md, "Forwarding + # programs" and "Termination"). assert {m.name: int(m) for m in ngc.TunnelStatus.__members__.values()} == { "UP": 0, - "NO_BANDWIDTH": 1, - "COST_CEILING": 2, + "INSUFFICIENT_BANDWIDTH": 1, + "COST_CEILING_EXCEEDED": 2, "FAILED": 3, "BLACKHOLED": 4, } @@ -121,57 +119,120 @@ def test_enum_values_are_pinned(): } -def test_path_selection_defaults(): - # multipath None is the model's natural shape (contract 3.3). - s = ngc.PathSelection() - assert (s.tie_break, s.priority, s.multipath, s.multi_edge) == ( - ngc.EdgeTieBreak.DETERMINISTIC, - ngc.EdgePriority.CAPACITY, - None, +def test_enum_declaration_order(): + # Every enumeration lists its members in the promised order (the interface listing, + # contract_api.py's source); no other integer value is promised. + order = { + ngc.RouteTieBreak: [ + "FEWER_HOPS", + "HIGHER_CAPACITY", + "HIGHER_AVAILABLE_CAPACITY", + "HIGHER_HEADROOM", + ], + ngc.RouteAllocation: ["EQUAL", "WEIGHTED", "OPTIMIZED"], + ngc.SourceAllocation: ["EQUAL", "OPTIMIZED"], + ngc.WeightBasis: ["CAPACITY", "EXPLICIT", "RESIDUAL_SNAPSHOT"], + ngc.Admission: ["LOSSLESS", "LOSSY"], + ngc.Direction: ["FORWARD", "REVERSE"], + ngc.TunnelStatus: [ + "UP", + "INSUFFICIENT_BANDWIDTH", + "COST_CEILING_EXCEEDED", + "FAILED", + "BLACKHOLED", + ], + ngc.Termination: ["COMPLETE", "NO_ROUTE", "EXHAUSTED", "NO_ACTIVE_WEIGHT"], + } + for enum, names in order.items(): + assert list(enum.__members__) == names, enum.__name__ + values = [int(enum.__members__[n]) for n in names] + assert values == sorted(values), enum.__name__ + + +def test_route_choice_defaults_and_strict_bools(): + # ShortestPaths() is ECMP: FEWER_HOPS, every equal-cost route, every parallel edge. + # The route choice is keywords only; a bool field takes bool or numpy.bool_ alone, so None + # (no longer a multipath value) and 1 are TypeErrors. + sp = ngc.ShortestPaths() + assert (sp.tie_break, sp.multipath, sp.parallel_edges) == ( + ngc.RouteTieBreak.FEWER_HOPS, True, + True, + ) + assert repr(sp) == ( + "ShortestPaths(allocation=RouteAllocation.EQUAL, source_allocation=None," + " weight_basis=None, edge_weights=None, tie_break=RouteTieBreak.FEWER_HOPS," + " multipath=True, parallel_edges=True)" ) - assert repr(s) == ( - "PathSelection(tie_break=DETERMINISTIC, priority=CAPACITY, multipath=None, multi_edge=True)" + assert_read_only( + sp, + "allocation", + "source_allocation", + "weight_basis", + "edge_weights", + "tie_break", + "multipath", + "parallel_edges", ) - assert repr(ngc.PathSelection(multipath=False)).count("multipath=False") == 1 - assert hash(ngc.PathSelection()) == hash(ngc.PathSelection(multipath=None)) - assert ngc.PathSelection(multipath=None) != ngc.PathSelection(multipath=True) + one = ngc.ShortestPaths(multipath=np.bool_(False)) + assert one.multipath is False + ca = ngc.DistributedTE(ngc.TunnelCount(1)) + assert (ca.tie_break, ca.parallel_edges) == (ngc.RouteTieBreak.FEWER_HOPS, True) + assert_read_only(ca, "tie_break", "parallel_edges") + with pytest.raises(TypeError): + ngc.ShortestPaths(ngc.RouteTieBreak.HIGHER_CAPACITY) + with pytest.raises(TypeError): + ngc.DistributedTE(ngc.TunnelCount(1), multipath=False) # T1 is single-path + for bad in (None, 1, "no"): + with pytest.raises(TypeError): + ngc.ShortestPaths(multipath=bad) + with pytest.raises(TypeError): + ngc.ShortestPaths(parallel_edges=bad) + with pytest.raises(TypeError): + ngc.DistributedTE(ngc.TunnelCount(1), parallel_edges=bad) + with pytest.raises(TypeError): + ngc.OutputOptions(edge_flows=bad) + with pytest.raises(TypeError): + ngc.TunnelCount(2, up_to=bad) + with pytest.raises(TypeError): + ngc.CentralizedTE( + source_allocation=ngc.SourceAllocation.EQUAL, prefer_headroom=bad + ) def test_tunnel_values_read_only(): # The T1 configuration values have read-only fields and no T0 keyword. - t = ngc.Tunnels(2) - ca = ngc.CapacityAware(t, max_path_cost=ngc.Absolute(3)) - with pytest.raises(AttributeError): - t.count = 3 - with pytest.raises(AttributeError): - t.up_to = True - with pytest.raises(AttributeError): - ca.tunnels = ngc.Tunnels(3) - with pytest.raises(AttributeError): - ca.min_unreserved_bandwidth = 1 + t = ngc.TunnelCount(2) + ca = ngc.DistributedTE(t, cost_ceiling=ngc.AbsoluteCost(3)) + assert_read_only(t, "per_head", "up_to") + assert_read_only(ca, "tunnel_count", "cost_ceiling", "min_unreserved_bandwidth") with pytest.raises(TypeError): - ngc.CapacityAware(flow_count=2) + ngc.DistributedTE(flow_count=2) assert ( - repr(t) == "Tunnels(2)" - and repr(ngc.Tunnels(4, up_to=True)) == "Tunnels(4, up_to=True)" + repr(t) == "TunnelCount(2)" + and repr(ngc.TunnelCount(4, up_to=True)) == "TunnelCount(4, up_to=True)" ) - assert ( - repr(ca) - == "CapacityAware(Tunnels(2), max_path_cost=Absolute(3), min_unreserved_bandwidth=0)" + assert repr(ca) == ( + "DistributedTE(TunnelCount(2), cost_ceiling=AbsoluteCost(3), min_unreserved_bandwidth=0," + " tie_break=RouteTieBreak.FEWER_HOPS, parallel_edges=True)" ) - assert "max_path_cost=None," in repr(ngc.CapacityAware(t)) + assert "cost_ceiling=None," in repr(ngc.DistributedTE(t)) assert repr( - ngc.CapacityAware( - ngc.Tunnels(3), max_path_cost=ngc.Stretch(2.0), min_unreserved_bandwidth=5 + ngc.DistributedTE( + ngc.TunnelCount(3), + cost_ceiling=ngc.CostStretch(2.0), + min_unreserved_bandwidth=5, + tie_break=ngc.RouteTieBreak.HIGHER_HEADROOM, + parallel_edges=False, ) ) == ( - "CapacityAware(Tunnels(3), max_path_cost=Stretch(2.0), min_unreserved_bandwidth=5)" + "DistributedTE(TunnelCount(3), cost_ceiling=CostStretch(Fraction(2, 1)), min_unreserved_bandwidth=5," + " tie_break=RouteTieBreak.HIGHER_HEADROOM, parallel_edges=False)" ) assert ( - t == ngc.Tunnels(2) - and hash(t) == hash(ngc.Tunnels(2)) - and t != ngc.Tunnels(2, up_to=True) + t == ngc.TunnelCount(2) + and hash(t) == hash(ngc.TunnelCount(2)) + and t != ngc.TunnelCount(2, up_to=True) ) @@ -226,6 +287,9 @@ def test_signatures_name_registered_types_only(): "_max_flows_per_call", "CapacityOptions", "SensitivityOptions", + "PathSelection", + "EdgeTieBreak", + "EdgePriority", } # The retired search entry points, their option types and the private name _spf: never bound. @@ -246,19 +310,23 @@ def test_signatures_name_registered_types_only(): # termination and per-source rows in by_source), FlowRecord's kernel (only ever written), # FlowPolicy's usable-bundle count and Pinned's bundle list (Pinned forwards a ForwardingProgram; # FlowPolicy.program and PlacementResult.by_tunnel report what is forwarded), the growth -# computation's CapacityAware fields and terminations (T1 sets up its tunnels once per call). +# computation's DistributedTE fields and terminations (T1 sets up its tunnels once per call). RETIRED_MEMBERS = { "PlacementResult": {"local_outcomes"}, "FlowRecord": {"placement"}, "FlowPolicy": {"usable_bundles"}, "Pinned": {"bundles"}, - "CapacityAware": { + "DistributedTE": { "flow_count", "max_flow_count", "min_flow_bandwidth", "reoptimize", "diminishing", + "selection", }, + "FlowPolicyConfig": {"selection", "placement", "origin", "weights", "edge_weights"}, + "SpfOptions": {"selection"}, + "KspOptions": {"selection", "multipath"}, "Termination": {"LIMIT_FLOWS", "LIMIT_DIMINISHING"}, } @@ -298,13 +366,13 @@ def test_retired_spellings_are_absent(): assert not hasattr(getattr(ngc, cls), member), (cls, member) # FlowPolicyConfig takes keywords only: no positional spelling. with pytest.raises(TypeError): - ngc.FlowPolicyConfig(ngc.CostOnly(), ngc.FlowPlacement.MAX_FLOW) + ngc.FlowPolicyConfig(ngc.ShortestPaths(), ngc.Admission.LOSSLESS) assert ngc.Graph.__name__ == "Graph" assert ngc.FlowLedger.__name__ == "FlowLedger" assert ngc.OutputOptions.__name__ == "OutputOptions" - # PredDAG and Path carry no resolver or alternative constructors. + # PredecessorDAG and Path carry no resolver or alternative constructors. for name in ("resolve_to_paths", "from_edges", "from_hops"): - assert not hasattr(ngc.PredDAG, name), name + assert not hasattr(ngc.PredecessorDAG, name), name for name in ("from_edges", "from_hops"): assert not hasattr(ngc.Path, name), name # The search queue is C++ only. @@ -313,14 +381,14 @@ def test_retired_spellings_are_absent(): def test_policy_takes_its_ledger_first_or_by_the_name_ledger(): - cfg = config(ngc.CostOnly(), selection=sel(prio=RES)) + cfg = config(ngc.ShortestPaths(tie_break=HIGHER_AVAIL, parallel_edges=False)) g = ngc.Graph(2, [0], [1], [3], [1], 1.0) ledger = ngc.FlowLedger(g) p = ngc.FlowPolicy(ledger=ledger, sources=0, destinations=1, config=cfg) - assert p.place(2).placed == 2 + assert p.place(2).call_delivered == 2 assert ledger.records()[0].delivered == 2 # Positionally the ledger comes first. - assert ngc.FlowPolicy(ledger, 0, 1, cfg).place(1).placed == 1 + assert ngc.FlowPolicy(ledger, 0, 1, cfg).place(1).call_delivered == 1 with pytest.raises(TypeError): ngc.FlowPolicy(flow_graph=ledger, sources=0, destinations=1, config=cfg) with pytest.raises(ValueError, match=exact("ledger must be a FlowLedger")): @@ -331,28 +399,30 @@ def test_policy_takes_its_ledger_first_or_by_the_name_ledger(): def _refusal_inputs(): """What the refused calls below share: the chain 0 -> 1 -> 2 and valid options.""" g = ngc.Graph(3, [0, 1], [1, 2], [5, 5], [1, 1], 1.0) - cfg = config(ngc.CostOnly()) + cfg = config(ngc.ShortestPaths()) return SimpleNamespace( g=g, ledger=ngc.FlowLedger(g), cfg=cfg, - query=ngc.QueryOptions(cfg), - spf=ngc.SpfOptions(ngc.Direction.FORWARD, sel()), - ksp=ngc.KspOptions(1, sel()), + query=ngc.EvaluationOptions(cfg), + spf=ngc.SpfOptions(ngc.Direction.FORWARD), + ksp=ngc.KspOptions(1), dag=ngc.Path(g, [[0], [1]]).to_dag(), - route=ngc.Route(0, ngc.Path(g, [[0], [1]])), + route=ngc.RouteDefinition(0, ngc.Path(g, [[0], [1]])), ) GRAPH = "graph must be a Graph" INTERSECT = "Eligibility.intersect takes two Eligibility values" PAIR = "each pair must be (sources, destinations)" -ROUTING = "routing must be CostOnly, CapacityAware, Global or Pinned (got {})" -ROUTES = "routes must be a sequence of Route" -BUNDLE = "Route bundle must be a Path or a PredDAG (got {})" +ROUTING = ( + "routing must be ShortestPaths, DistributedTE, CentralizedTE or Pinned (got {})" +) +ROUTES = "routes must be a sequence of RouteDefinition" +ROUTE_TYPE = "RouteDefinition route must be a Path or a PredecessorDAG (got {})" # Each wrong argument, the exception class and the whole message it is refused with. A None -# where a Graph, an Eligibility or a PredDAG is expected reaches the binding as a null value +# where a Graph, an Eligibility or a PredecessorDAG is expected reaches the binding as a null value # (pybind11 refuses every other wrong type first), so these checks also keep the call from # reading it. REFUSALS = { @@ -366,9 +436,13 @@ def _refusal_inputs(): "resolve-dag-None": ( lambda s: ngc.resolve_to_paths(s.g, None, 0, 2), ValueError, - "dag must be a PredDAG", + "dag must be a PredecessorDAG", + ), + "ShortestPathCache-graph-None": ( + lambda s: ngc.ShortestPathCache(None), + ValueError, + GRAPH, ), - "DagCache-graph-None": (lambda s: ngc.DagCache(None), ValueError, GRAPH), "FlowLedger-graph-None": (lambda s: ngc.FlowLedger(None), ValueError, GRAPH), "FlowLedger-graph-None-with-residual": ( lambda s: ngc.FlowLedger(None, [5, 5]), @@ -377,22 +451,22 @@ def _refusal_inputs(): ), "Path-graph-None": (lambda s: ngc.Path(None, [[0]]), ValueError, GRAPH), "from_csr-graph-None": ( - lambda s: ngc.PredDAG.from_csr(None, [0, 0, 0, 0], [], []), + lambda s: ngc.PredecessorDAG.from_csr(None, [0, 0, 0, 0], [], []), ValueError, GRAPH, ), "capacity-graph-None": ( - lambda s: ngc.capacity(None, 0, 2, s.query), + lambda s: ngc.evaluate_demand(None, 0, 2, s.query), ValueError, GRAPH, ), - "batch_capacity-graph-None": ( - lambda s: ngc.batch_capacity(None, [(0, 2)], s.query), + "evaluate_pairs-graph-None": ( + lambda s: ngc.evaluate_pairs(None, [(0, 2)], s.query), ValueError, GRAPH, ), "sensitivity-graph-None": ( - lambda s: ngc.sensitivity(None, 0, 2, s.query), + lambda s: ngc.evaluate_edge_failures(None, 0, 2, s.query), ValueError, GRAPH, ), @@ -407,25 +481,25 @@ def _refusal_inputs(): INTERSECT, ), # Shapes and types of sequence and field arguments. - "batch_capacity-pairs-not-a-sequence": ( - lambda s: ngc.batch_capacity(s.g, 5, s.query), + "evaluate_pairs-pairs-not-a-sequence": ( + lambda s: ngc.evaluate_pairs(s.g, 5, s.query), ValueError, "pairs must be a sequence of (sources, destinations)", ), - "batch_capacity-pair-of-one": ( - lambda s: ngc.batch_capacity(s.g, [(0,)], s.query), + "evaluate_pairs-pair-of-one": ( + lambda s: ngc.evaluate_pairs(s.g, [(0,)], s.query), ValueError, PAIR, ), - "batch_capacity-pair-not-a-sequence": ( - lambda s: ngc.batch_capacity(s.g, [5], s.query), + "evaluate_pairs-pair-not-a-sequence": ( + lambda s: ngc.evaluate_pairs(s.g, [5], s.query), ValueError, PAIR, ), - "batch_capacity-per_pair_elig-not-a-sequence": ( - lambda s: ngc.batch_capacity(s.g, [(0, 2)], s.query, 5), + "evaluate_pairs-per_pair_eligibility-not-a-sequence": ( + lambda s: ngc.evaluate_pairs(s.g, [(0, 2)], s.query, 5), ValueError, - "per_pair_elig must be a sequence of Eligibility or None", + "per_pair_eligibility must be a sequence of Eligibility or None", ), "Path-hops-not-a-sequence": ( lambda s: ngc.Path(s.g, 5), @@ -452,46 +526,50 @@ def _refusal_inputs(): TypeError, ROUTING.format("NoneType"), ), - "Tunnels-count-None": ( - lambda s: ngc.Tunnels(None), - ValueError, - "tunnel count must be an integer (got None)", + "TunnelCount-per_head-None": ( + lambda s: ngc.TunnelCount(None), + TypeError, + "TunnelCount per_head must be an integer (got NoneType)", ), - "Tunnels-count-bool": ( - lambda s: ngc.Tunnels(True), - ValueError, - "tunnel count must be an integer (got bool)", + "TunnelCount-per_head-bool": ( + lambda s: ngc.TunnelCount(True), + TypeError, + "TunnelCount per_head must be an integer (got bool)", ), - "CapacityAware-min_unreserved_bandwidth-None": ( - lambda s: ngc.CapacityAware(ngc.Tunnels(1), min_unreserved_bandwidth=None), - ValueError, - "min_unreserved_bandwidth must be an integer (got None)", + "DistributedTE-min_unreserved_bandwidth-None": ( + lambda s: ngc.DistributedTE(ngc.TunnelCount(1), min_unreserved_bandwidth=None), + TypeError, + "min_unreserved_bandwidth must be an integer (got NoneType)", ), - "Absolute-cost-None": ( - lambda s: ngc.Absolute(None), - ValueError, - "Absolute cost must be an integer (got None)", + "AbsoluteCost-cost-None": ( + lambda s: ngc.AbsoluteCost(None), + TypeError, + "AbsoluteCost cost must be an integer (got NoneType)", ), "Stretch-factor-str": ( - lambda s: ngc.Stretch("1.5"), - ValueError, - "Stretch factor must be a number (got str)", + lambda s: ngc.CostStretch("1.5"), + TypeError, + "CostStretch factor must be a Fraction, a float or an integer (got str)", ), "Stretch-factor-bool": ( - lambda s: ngc.Stretch(True), - ValueError, - "Stretch factor must be a number (got bool)", + lambda s: ngc.CostStretch(True), + TypeError, + "CostStretch factor must be a Fraction, a float or an integer (got bool)", ), "Pinned-program-None": ( lambda s: ngc.Pinned(None), TypeError, "Pinned program must be a ForwardingProgram", ), - "Route-bundle-int": (lambda s: ngc.Route(0, 5), TypeError, BUNDLE.format("int")), - "Route-bundle-None": ( - lambda s: ngc.Route(0, None), + "RouteDefinition-route-int": ( + lambda s: ngc.RouteDefinition(0, 5), + TypeError, + ROUTE_TYPE.format("int"), + ), + "RouteDefinition-route-None": ( + lambda s: ngc.RouteDefinition(0, None), TypeError, - BUNDLE.format("NoneType"), + ROUTE_TYPE.format("NoneType"), ), "from_routes-graph-None": ( lambda s: ngc.ForwardingProgram.from_routes(None, [0], [2], [s.route]), @@ -527,26 +605,369 @@ def test_a_wrong_argument_is_refused_with_its_message(call, error, message): def test_t2_members(): - # Global.tunnels, Global.prefer_headroom, Tunnel.planned and the T2 fields of TunnelPlan, + # CentralizedTE.tunnel_count, CentralizedTE.prefer_headroom, Tunnel.planned_bandwidth and the T2 fields of TunnelPlan, # read-only. - gl = ngc.Global(tunnels=ngc.Tunnels(16), prefer_headroom=True) - assert (gl.tunnels, gl.prefer_headroom) == (ngc.Tunnels(16), True) - assert (ngc.Global().tunnels, ngc.Global().prefer_headroom) == (None, False) - with pytest.raises(AttributeError): - gl.tunnels = ngc.Tunnels(2) - with pytest.raises(AttributeError): - gl.prefer_headroom = False + eq = ngc.SourceAllocation.EQUAL + gl = ngc.CentralizedTE( + source_allocation=eq, tunnel_count=ngc.TunnelCount(16), prefer_headroom=True + ) + assert (gl.source_allocation, gl.tunnel_count, gl.prefer_headroom) == ( + eq, + ngc.TunnelCount(16), + True, + ) + plain = ngc.CentralizedTE(source_allocation=eq) + assert (plain.tunnel_count, plain.prefer_headroom) == (None, False) + assert_read_only( + gl, "source_allocation", "support", "tunnel_count", "prefer_headroom" + ) for name in ( - "live_heads", + "heads_with_capacity", "insufficient_resolution", - "fluid_share", - "common_share", - "planned_per_tunnel", - "planned_total", - "route_cost", + "max_fractional_bandwidth_per_tunnel", + "max_bandwidth_per_tunnel", + "planned_bandwidth_per_tunnel", + "total_planned_bandwidth", + "total_tunnel_cost", "headroom_penalty", - "forwarding_bound", + "max_lossless_offer", ): assert isinstance(getattr(ngc.TunnelPlan, name), property), name assert getattr(ngc.TunnelPlan, name).fset is None, name - assert isinstance(ngc.Tunnel.planned, property) and ngc.Tunnel.planned.fset is None + assert ( + isinstance(ngc.Tunnel.planned_bandwidth, property) + and ngc.Tunnel.planned_bandwidth.fset is None + ) + + +def _top_level_labels(text): + # The `name=` labels of a repr at its own level, not those of a nested repr. + labels, depth, word = [], 0, "" + for ch in text: + if ch == "(": + depth += 1 + elif ch == ")": + depth -= 1 + if depth == 1 and ch == "=" and word: + labels.append(word) + word = word + ch if (ch.isalnum() or ch == "_") else "" + return labels + + +def test_repr_labels_name_current_attributes(): + # Every labelled __repr__ starts with its class name, and each of its own labels is an + # attribute of that class, except the three that print a count (no such attribute). + counts = { + ("PredecessorDAG", "entries"), + ("SpfResult", "dag_entries"), + ("Pinned", "tunnels"), + } + g = ngc.Graph(4, [0, 0, 1, 2], [1, 2, 3, 3], [8, 8, 8, 8], [1, 1, 1, 1], 1.0) + cfg = ngc.FlowPolicyConfig( + routing=ngc.DistributedTE(ngc.TunnelCount(2)), admission=ngc.Admission.LOSSY + ) + fg = ngc.FlowLedger(g) + p = ngc.FlowPolicy(fg, 0, 3, cfg) + r = p.replace(4, design_demand=4) + search = ngc.spf(g, 0, ngc.SpfOptions(ngc.Direction.FORWARD)) + path = ngc.ksp(g, 0, 3, ngc.KspOptions(1))[0][1] + objects = [ + r, + r.plan, + r.program.tunnels[0], + r.by_tunnel[0], + r.by_source[0], + p.records()[0], + ngc.RouteDefinition(0, path, weight=2), + path, + search, + search.dag, + cfg, + cfg.routing, + ngc.DistributedTE(ngc.TunnelCount(2), cost_ceiling=ngc.AbsoluteCost(3)), + ngc.CentralizedTE( + source_allocation=ngc.SourceAllocation.EQUAL, + support=search.dag, + tunnel_count=ngc.TunnelCount(2, up_to=True), + ), + ngc.CentralizedTE( + source_allocation=ngc.SourceAllocation.EQUAL, + tunnel_count=ngc.TunnelCount(2), + prefer_headroom=True, + ), + ngc.ShortestPaths( + allocation=ngc.RouteAllocation.WEIGHTED, + weight_basis=ngc.WeightBasis.EXPLICIT, + edge_weights=[1, 2, 3, 4], + ), + ngc.TunnelCount(2, up_to=True), + ngc.Pinned(r.program), + ngc.ShortestPaths(tie_break=HIGHER_AVAIL, multipath=False), + ] + for obj in objects: + name = type(obj).__name__ + text = repr(obj) + assert text.startswith(name + "("), text + for label in _top_level_labels(text): + assert (name, label) in counts or hasattr(type(obj), label), (text, label) + # The labels that once named retired fields, exactly. + assert repr(r).startswith("PlacementResult(call_delivered=4, termination=") + assert repr(r.plan) == "TunnelPlan(tunnels_per_head=2, total_reserved_bandwidth=4)" + assert repr(r.program.tunnels[0]).startswith("Tunnel(entry_id=0, ") + assert repr(r.by_tunnel[0]).startswith("TunnelFlow(entry_id=0, ") + assert repr(p.records()[0]).startswith("FlowRecord(flow_id=(") + assert ", policy_id=" in repr(p.records()[0]) + assert repr(path).startswith("Path(source=0, destination=3, ") + assert ( + repr(ngc.RouteDefinition(0, path, weight=2)) + == "RouteDefinition(head=0, weight=2)" + ) + + +def _stub_members(): + """The installed stub's public names: per class its members (a property, field or enum member is + "attribute"; a callable, every overload's parameters as contract_api writes them).""" + import ast + import pathlib + + tree = ast.parse((pathlib.Path(ngc.__file__).parent / "__init__.pyi").read_text()) + + def params(fn): + a = fn.args + pos = a.posonlyargs + a.args + defaults = [None] * (len(pos) - len(a.defaults)) + list(a.defaults) + out = [ + (arg.arg, "pos", None if d is None else ast.unparse(d)) + for arg, d in zip(pos, defaults, strict=True) + ] + if a.vararg: + out.append(("*" + a.vararg.arg, "var", None)) + out += [ + (arg.arg, "kw", None if d is None else ast.unparse(d)) + for arg, d in zip(a.kwonlyargs, a.kw_defaults, strict=True) + ] + if a.kwarg: + out.append(("**" + a.kwarg.arg, "varkw", None)) + return [p for p in out if p[0] != "self"] + + names = {} + for node in tree.body: + if isinstance(node, ast.FunctionDef): + names.setdefault(node.name, {}).setdefault("__call__", []).append( + params(node) + ) + elif isinstance(node, ast.ClassDef): + members = {} + for item in node.body: + if isinstance(item, ast.FunctionDef): + decorators = [ast.unparse(d) for d in item.decorator_list] + if "property" in decorators: + members[item.name] = "attribute" + else: + members.setdefault(item.name, []).append(params(item)) + elif isinstance(item, ast.AnnAssign): + members[item.target.id] = "attribute" + names[node.name] = members + return names + + +def _runtime_default(cls, method, param): + # The stub prints an enum default as `...`; pybind11's runtime signature names the value. + doc = getattr(getattr(ngc, cls), method).__doc__ or "" + found = re.search(rf"\b{param}: [\w.]+ = ([\w.]+)", doc) + return found.group(1) if found else None + + +def _runtime_signatures(owner, member): + """Every overload's parameters (name, kind) as pybind11's runtime docstring states them.""" + target = ( + getattr(ngc, owner) + if member == "__call__" + else getattr(getattr(ngc, owner), member) + ) + name = owner if member == "__call__" else member + out = [] + for line in (target.__doc__ or "").splitlines(): + found = re.match(rf"^(?:\d+\. )?{re.escape(name)}\((.*)\) -> ", line) + if not found: + continue + params, depth, part, kind = [], 0, "", "pos" + for ch in found.group(1) + ",": + if ch in "[(": + depth += 1 + elif ch in "])": + depth -= 1 + if ch == "," and depth == 0: + part = part.strip() + if part == "*": + kind = "kw" + elif part and part != "/": + pname = part.split(":")[0].split("=")[0].strip() + if pname != "self": + params.append((pname, kind)) + part = "" + else: + part += ch + out.append(params) + return out + + +def test_runtime_signatures_match_the_contract(): + # The extension's own signatures (pybind11's), parameter names and kinds, against the listing: + # a binding changed without its stub fails here, not only in the stub's drift check. + from contract_api import CONTRACT_API + + differences = [] + for name, members in CONTRACT_API.items(): + for member, want in members.items(): + if want in ("attribute", "declared") or not hasattr(ngc, name): + continue + have = _runtime_signatures(name, member) + for overload in want: + if overload == [("_no_public_constructor", "pos", None)]: + continue + if [(n, k) for n, k, _ in overload] not in have: + differences.append((name, member, overload, have)) + assert differences == [] + + +def test_api_matches_the_contract(): + # Every public name of the interface listing (contract_api.py; the batch operations, not yet in + # the library, excepted), every member, and every parameter's name, kind and default; no other public member. + from contract_api import CONTRACT_API + + stub = _stub_members() + differences = [] + for name, members in CONTRACT_API.items(): + if name not in stub: + differences.append(("missing", name)) + continue + have = stub[name] + for member, want in members.items(): + if member not in have: + differences.append(("missing", name, member)) + elif want in ("attribute", "declared"): + if want == "attribute" and have[member] != "attribute": + differences.append(("kind", name, member)) + elif have[member] == "attribute": + differences.append(("kind", name, member)) + else: + for overload in want: + match = [ + got + for got in have[member] + if [(n, k) for n, k, _ in got] + == [(n, k) for n, k, _ in overload] + ] + if not match: + differences.append(("parameters", name, member, overload)) + continue + for (param, _, default), (_, _, got) in zip( + overload, match[0], strict=True + ): + if got != default and not ( + got == "..." + and _runtime_default(name, member, param) == default + ): + differences.append(("default", name, member, param, got)) + extra = sorted( + m + for m in have + if not m.startswith("_") and m not in members and m not in ("name", "value") + ) + if extra: + differences.append(("extra", name, extra)) + assert differences == [] + + +def _public_docstrings(): + """(where, text) of every public docstring: the package's, each public class's (its + constructor's text without the signature lines), each public method's and property's, and each + function's.""" + import inspect + + out = [("netgraph_core", ngc.__doc__ or "")] + + def text(obj): + doc = getattr(obj, "__doc__", None) or "" + # pybind11 prefixes each overload's text with its signature: names, not prose. + return "\n".join( + line + for line in doc.splitlines() + if not re.match(r"^\s*(\d+\. )?\w+\(.*\) -> ", line) + ) + + for name in ngc.__all__: + obj = getattr(ngc, name) + if isinstance(obj, str): + continue + out.append((name, text(obj))) + if inspect.isclass(obj) and not issubclass(obj, BaseException): + for member, value in vars(obj).items(): + if member.startswith("_") and member != "__init__": + continue + if isinstance(value, (staticmethod, classmethod)): + value = ( + value.__func__ + ) # the function's own text, not the descriptor's help + if isinstance(value, property) or callable(value): + out.append((f"{name}.{member}", text(value))) + return out + + +def _stub_names(): + import ast + + tree = ast.parse((Path(ngc.__file__).parent / "__init__.pyi").read_text()) + names = set(ngc.__all__) + for node in ast.walk(tree): + if isinstance(node, (ast.FunctionDef, ast.ClassDef)): + names.add(node.name) + elif isinstance(node, ast.arg): + names.add(node.arg) + elif isinstance(node, ast.AnnAssign) and isinstance(node.target, ast.Name): + names.add(node.target.id) + return names + + +def test_docstring_names_exist(): + # Every name a public docstring writes as code (a snake_case name with an underscore, or a + # call `name()`), after a dot too (`ledger.carried()`, `options.edge_weights`), is a public + # name, member or parameter: a renamed field cannot stay behind in the prose. + known = _stub_names() + missing = set() + for where, doc in _public_docstrings(): + for m in re.finditer( + r"(?` + and the identifier itself as their substring. The parameter shorthands of SHORTHANDS stay as + ordinary locals. + +A word is the name or its plural, capitalized too (a sentence-initial `Placed`), beside a hyphen +(`record-bundle`), also after a dot (`ledger.allocated()`; a one-letter name after +a letter and a dot is "e.g."), also beside a "/" once the file paths are taken out of the line +(`src/dst`). Every remaining use is one row of removed_names_reviewed.txt, "place | word | substring +of the line | reason": it excuses that word on the one line of that place (a docstring's owner such +as `PlacementResult.call_delivered`, or a file path) that holds the substring, and nothing else.""" + +from __future__ import annotations + +import ast +import inspect +import io +import re +import tokenize +from pathlib import Path + +import netgraph_core as ngc + +ROOT = Path(__file__).resolve().parents[2] +REVIEWED_FILE = Path(__file__).with_name("removed_names_reviewed.txt") + +# Removed names that are ordinary words of this domain's prose and common in it (each used more +# than 16 times across the texts), with the meaning they keep. A rarer one (allocated, placed, +# volume, ...) is not listed: like any removed name it is stale wherever it stands, and each of its +# ordinary uses is a reviewed line. +ENGLISH = { + "bottleneck": "a path's smallest score under a HIGHER_* tie rule", + "capacity": "an edge's capacity", + "count": "the tunnel count", + "dropped": "traffic dropped on a link or at a black hole", + "drops": "losses on links or at a source", + "entry": "an entry of a program, an array or a CSR list", + "index": "a tunnel's entry index", + "loss": "LOSSLESS admits a total 'with no loss'", + "offsets": "CSR offsets", + "owner": "the owner of a hold (another policy)", + "placement": "placing traffic", + "planned": "T2's planned bandwidth", + "remaining": "what remains", + "requested": "a requested amount", + "via": "the via edge of a DAG entry", + "weights": "WEIGHTED's member weights", +} + + +def _split(spelling): + """(owner, leaf) of an old or new spelling: `Owner.leaf`, `Owner::leaf`, `Owner.method:param`, + `Owner::method:param`, `function:param`, `Owner(leaf=...)`; a bare name is (None, name).""" + m = re.match(r"(\w+)\((\w+)=", spelling) + if m: + return m.group(1), m.group(2) + spelling = spelling.split("(")[0] + m = re.match(r"(\w+)(?:\.|::)(?:\w+:)?(\w+)$", spelling) + if m: + return m.group(1), m.group(2) + m = re.match(r"(\w+):(\w+)$", spelling) + if m: + return m.group(1), m.group(2) + return None, re.split(r"::|\.", spelling)[-1] + + +def removed(): + """(old owner, leaf, new owners) for every old spelling of CHANGELOG's Removed table (this + release's section; files excluded).""" + text = (ROOT / "CHANGELOG.md").read_text() + start = text.index("## [Unreleased]") + section = text[start : text.index("\n## [", start + 1)] + out = [] + for row in section[section.index("### Removed") :].splitlines(): + cells = [c.strip() for c in row.strip().strip("|").split("|")] + if ( + not row.startswith("|") + or len(cells) < 3 + or cells[0] in ("Kind", "file") + or set(cells[0]) <= {"-"} + ): + continue + news = {_split(n)[0] for n in re.findall(r"`([^`]+)`", cells[2])} - {None} + for old in re.findall(r"`([^`]+)`", cells[1]): + owner, leaf = _split(old) + if leaf and leaf != "__init__": + out.append((owner, leaf, news)) + return out + + +def api_names(): + """Every name of the installed stub (classes, functions, members, parameters), and per owner + (a class or a module function) its own names.""" + tree = ast.parse((Path(ngc.__file__).parent / "__init__.pyi").read_text()) + names, per_owner = set(ngc.__all__), {} + for node in tree.body: + if isinstance(node, (ast.ClassDef, ast.FunctionDef)): + own = per_owner.setdefault(node.name, set()) + for sub in ast.walk(node): + if isinstance(sub, (ast.FunctionDef, ast.ClassDef)): + own.add(sub.name) + elif isinstance(sub, ast.arg): + own.add(sub.arg) + elif isinstance(sub, ast.AnnAssign) and isinstance( + sub.target, ast.Name + ): + own.add(sub.target.id) + names |= own | {node.name} + return names, per_owner + + +# A name inside a path (src/flow_policy.cpp) is not the name: the word pattern excludes "/". + +# A file path (with an extension, or a directory ending in "/") is not a name: it is taken out of a +# line before its words are read, so "src/flow_policy.cpp" names nothing and "src/dst" names both. +PATH = re.compile( + r"(?:[\w.-]+/)+[\w.-]*\.(?:hpp|cpp|h|py|pyi|md|txt|json|sh|toml|cmake)\b|(?:[\w.-]+/)+(?!\w)" +) + + +def word(name): + """The words of `name`: itself or its plural, capitalized too, after a dot too (not a + one-letter name after a letter and a dot: "e.g."), beside a hyphen too (`record-bundle`).""" + before = r"(? 1 else {name} + alternatives = "|".join(re.escape(f) for f in sorted(forms)) + return re.compile(rf"{before}(?:{alternatives})(?:e?s)?(?!\w)") + + +def _owners_named(lines, owners): + return { + o + for o in owners + if any(re.search(rf"(? ", line) + ] + + +def docstring_texts(owners=()): + # The package docstring's paragraphs (blank-line separated, or a "- " item) belong to the + # owners they name, as docs paragraphs do. + out, paragraph = [], [] + for line in _doc_lines(ngc) + [""]: + if (not line.strip() or line.lstrip().startswith("- ")) and paragraph: + named = _owners_named(paragraph, owners) + out += [("netgraph_core", text, named, True) for text in paragraph] + paragraph = [] + if line.strip(): + paragraph.append(line) + for name in ngc.__all__: + obj = getattr(ngc, name) + if isinstance(obj, str): + continue + out += [(name, line, {name}, True) for line in _doc_lines(obj)] + if inspect.isclass(obj) and not issubclass(obj, BaseException): + for member, value in vars(obj).items(): + if member.startswith("_") and member != "__init__": + continue + if isinstance(value, (staticmethod, classmethod)): + value = ( + value.__func__ + ) # the function's own text, not the descriptor's help + if isinstance(value, property) or callable(value): + out += [ + (f"{name}.{member}", line, {name}, True) + for line in _doc_lines(value) + ] + return out + + +def _comments_and_code(text): + """Per line its comment text (// and /* */, string literals skipped) and the file's code + identifiers (outside comments and string literals).""" + comments, code = {}, [] + i, n, line = 0, len(text), 1 + while i < n: + if text.startswith("//", i): + j = text.find("\n", i) + j = n if j < 0 else j + comments[line] = comments.get(line, "") + text[i + 2 : j] + i = j + elif text.startswith("/*", i): + j = text.find("*/", i + 2) + j = n if j < 0 else j + for k, part in enumerate(text[i + 2 : j].split("\n")): + comments[line + k] = comments.get(line + k, "") + part + line += text[i:j].count("\n") + i = j + 2 + elif text[i] in "\"'": # a string or character literal, to its closing quote + quote, j = text[i], i + 1 + while j < n and text[j] != quote and text[j] != "\n": + j += 2 if text[j] == "\\" else 1 + i = j + 1 + else: + if text[i] == "\n": + line += 1 + code.append(text[i]) + i += 1 + return comments, set(re.findall(r"[A-Za-z_]\w*", "".join(code))) + + +def _owner_regions(lines, owners): + """Per line of a public header, the owners whose text it is: a struct or class to its closing + brace, a function's declaration, each with the comment block above it.""" + out = {} + for i, line in enumerate(lines): + m = re.match( + r"^(\s*)(?:struct|class)\s+(?:\[\[[^\]]*\]\]\s*)?([A-Z]\w*)\b[^;]*$", line + ) + names = [] + if m: + end = i + while end + 1 < len(lines) and not re.match( + rf"^{m.group(1)}}};", lines[end] + ): + end += 1 + names.append((m.group(2), end)) + for owner in owners: + if owner[:1].islower() and re.search( + rf"^\s*(?:\[\[nodiscard\]\]\s*)?[\w:<>,\s*&]*\b{owner}\(", line + ): + end = i + while end + 1 < len(lines) and not re.search(r"[;{]\s*$", lines[end]): + end += 1 + names.append((owner, end)) + for owner, end in names: + start = i + while start > 0 and lines[start - 1].strip().startswith("//"): + start -= 1 + for k in range(start, end + 1): + out.setdefault(k + 1, set()).add(owner) + return out + + +FIXTURE_REPLAY = "tests/cpp/flow_policy_fixture_tests.cpp" + + +def _cpp_files(): + for directory in ("include", "src", "bindings", "tests/cpp"): + for path in sorted((ROOT / directory).rglob("*")): + if ( + path.suffix in (".hpp", ".cpp", ".h") + and str(path.relative_to(ROOT)) != FIXTURE_REPLAY + ): + yield path + + +FIXTURE_KEY_MAPPING = "tests/py/test_flow_policy_fixtures.py" + + +def _python_texts(path, skip_module_docstring=False): + """(line number, text) of a Python file's comments and docstrings.""" + text = path.read_text() + out = [ + (tok.start[0], tok.string[1:]) + for tok in tokenize.generate_tokens(io.StringIO(text).readline) + if tok.type == tokenize.COMMENT + ] + tree = ast.parse(text) + for node in ast.walk(tree): + if not isinstance( + node, (ast.Module, ast.ClassDef, ast.FunctionDef, ast.AsyncFunctionDef) + ): + continue + if isinstance(node, ast.Module) and skip_module_docstring: + continue + body = node.body + if ( + body + and isinstance(body[0], ast.Expr) + and isinstance(body[0].value, ast.Constant) + ): + if isinstance(body[0].value.value, str): + first = body[0].lineno + out += [ + (first + k, line) + for k, line in enumerate(body[0].value.value.splitlines()) + ] + return out + + +def python_texts(): + """The comments and docstrings of the Python files of tests/py/, python/ and dev/ (not the + design tree, not the frozen fixture replay's key mapping; the package's own docstring is read + at run time).""" + out = [] + for directory in ("tests/py", "python", "dev"): + for path in sorted((ROOT / directory).rglob("*.py")): + rel = str(path.relative_to(ROOT)) + if "design" in path.relative_to(ROOT).parts or rel == FIXTURE_KEY_MAPPING: + continue + skip = rel == "python/netgraph_core/__init__.py" + out += [ + (rel, line, set(), False) + for _, line in sorted(_python_texts(path, skip)) + ] + return out + + +def comment_texts(owners): + out = [] + for path in [*_cpp_files(), *sorted((ROOT / "dev/perf").rglob("*"))]: + if path.suffix in (".hpp", ".cpp", ".h"): + rel = str(path.relative_to(ROOT)) + text = path.read_text() + comments, _ = _comments_and_code(text) + public = rel.startswith("include/netgraph/core/") and "/detail/" not in rel + regions = _owner_regions(text.splitlines(), owners) if public else {} + out += [ + (rel, comment, regions.get(n, set()), public) + for n, comment in sorted(comments.items()) + ] + return out + + +def _paragraphs(lines): + """The prose paragraphs of a Markdown file (blank-line separated; fenced code skipped).""" + fenced, paragraph = False, [] + for line in lines: + if line.startswith("```"): + fenced = not fenced + if paragraph: + yield paragraph + paragraph = [] + elif fenced: + continue + elif line.strip(): + paragraph.append(line) + elif paragraph: + yield paragraph + paragraph = [] + if paragraph: + yield paragraph + + +def markdown_texts(owners): + out = [] + for rel in ("docs/semantics.md", "README.md"): + for paragraph in _paragraphs((ROOT / rel).read_text().splitlines()): + named = _owners_named(paragraph, owners) + out.extend((rel, line, named, True) for line in paragraph) + return out + + +def code_names(): + """Every identifier the repository's code declares or uses: C++ code (outside comments and + string literals) of the library, bindings, tests and dev/perf; Python names, attributes, + parameters and identifier-like strings of python/, tests/ and dev/ (the frozen reference + included); CMake's targets and options; the API; file stems.""" + out = set(api_names()[0]) + for path in [*_cpp_files(), *sorted((ROOT / "dev/perf").rglob("*"))]: + if path.suffix in (".hpp", ".cpp", ".h"): + out |= _comments_and_code(path.read_text())[1] + out |= set(re.findall(r"[A-Za-z_]\w*", (ROOT / "CMakeLists.txt").read_text())) + for directory in ("python", "tests", "dev"): + for path in sorted((ROOT / directory).rglob("*.py")): + for node in ast.walk(ast.parse(path.read_text())): + if isinstance(node, ast.Name): + out.add(node.id) + elif isinstance(node, ast.Attribute): + out.add(node.attr) + elif isinstance(node, (ast.FunctionDef, ast.ClassDef)): + out.add(node.name) + elif isinstance(node, ast.arg): + out.add(node.arg) + elif ( + isinstance(node, ast.Constant) + and isinstance(node.value, str) + and node.value.isidentifier() + ): + out.add(node.value) + for path in ROOT.rglob("*"): + if not {".git", "build", "venv", "__pycache__"} & set(path.parts): + out.add(path.stem) + return out + + +# A snake_case name with an underscore, or a name written as a call (clause 3). +IDENTIFIER = re.compile( + r"(?").""" + out = {} + for path in [*_cpp_files(), *sorted((ROOT / "dev/perf").rglob("*"))]: + if path.suffix not in (".hpp", ".cpp", ".h"): + continue + code = _code_text(path.read_text()) + names = set() + for m in re.finditer(r"[A-Za-z_]\w*", code): + if code[max(0, m.start() - 5) : m.start()] != "std::": + names.add(m.group(0)) + out[f"code:{path.relative_to(ROOT)}"] = names + for directory in ("python", "tests/py", "dev"): + for path in sorted((ROOT / directory).rglob("*.py")): + if "design" in path.relative_to(ROOT).parts: + continue + names = set() + for node in ast.walk(ast.parse(path.read_text())): + if isinstance(node, (ast.Import, ast.ImportFrom)): + continue + for attr in ("id", "attr", "name", "arg"): + value = getattr(node, attr, None) + if isinstance(value, str): + names.add(value) + out[f"code:{path.relative_to(ROOT)}"] = names + return out + + +def code_findings(dead, api): + """Clause 4: (place, name, identifier) for every code identifier holding a rule-1 name.""" + + def holds(name, ident): + return ( + ident == name + or re.search(rf"(?:^|_){re.escape(name)}(?:_|$)", ident) is not None + ) + + names = { + n for n in dead if n not in SHORTHANDS and not any(holds(n, a) for a in api) + } + return [ + (place, name, ident) + for place, idents in _code_identifiers().items() + for ident in idents + for name in names + if holds(name, ident) + ] + + +def reviewed(): + """(place, word, substring, reason) per row of the reviewed file.""" + rows = [] + for row in REVIEWED_FILE.read_text().splitlines(): + if row.strip() and not row.startswith("#"): + place, name, sub, reason = (x.strip() for x in row.split(" | ", 3)) + rows.append((place, name, sub, reason)) + return rows + + +def find_stale(): + """Every (place, name, line) the rule reports, before the reviewed lines.""" + names, per_owner = api_names() + rows = removed() + dead = {leaf for _, leaf, _ in rows if leaf not in names and leaf not in ENGLISH} + owned = {} # leaf -> owners whose public text must not use it + for owner, leaf, news in rows: + if leaf in dead: + continue + for o in ({owner} | news) - {None}: + if leaf not in per_owner.get(o, set()): + owned.setdefault(leaf, set()).add(o) + owners = sorted({o for os in owned.values() for o in os}) + comments = comment_texts(owners) + texts = docstring_texts(owners) + comments + python_texts() + markdown_texts(owners) + patterns = {name: word(name) for name in dead | set(owned)} + found = [] + known = code_names() + for place, line, _, _ in comments: + for m in IDENTIFIER.finditer(PATH.sub(" ", line)): + name = m.group(1) + if ( + name not in known + and name.rstrip("_") not in known + and name + "_" not in known + ): + found.append((place, name, line.strip())) + for place, line, text_owners, public in texts: + words = PATH.sub(" ", line) + for name in dead: + if patterns[name].search(words): + found.append((place, name, line.strip())) + if public: + for name, name_owners in owned.items(): + if text_owners & name_owners and patterns[name].search(words): + found.append((place, name, line.strip())) + found += code_findings(dead, names) + return sorted(set(found)) + + +def check(found, rows): + """The findings no row excuses, and the rows that do not excuse exactly one finding: a row + excuses its word on the one line of its place that holds its substring.""" + unreviewed, matched = [], {i: set() for i in range(len(rows))} + for place, name, line in found: + match = [ + i + for i, (p, n, sub, _) in enumerate(rows) + if p == place + and n == name + and (sub == line if place.startswith("code:") else sub in line) + ] + for i in match: + matched[i].add(line) + if not match: + unreviewed.append(f"{place}: [{name}] {line}") + bad_rows = [ + f"{rows[i][0]} | {rows[i][1]} | {rows[i][2]} ({len(lines)} lines)" + for i, lines in matched.items() + if len(lines) != 1 + ] + return unreviewed, bad_rows + + +def test_removed_names_are_gone_from_every_text(): + found = find_stale() + assert len(found) > 0 # the English uses: the rule reads the texts it is meant to + unreviewed, bad_rows = check(found, reviewed()) + assert not unreviewed, "\n".join(unreviewed) + assert not bad_rows, ( + "reviewed rows that do not excuse exactly one line:\n" + "\n".join(bad_rows) + ) + + +def test_a_reviewed_row_excuses_its_word_only(): + # A row names its line and its word: another removed name on that line is still found. + rows = reviewed() + place, name, sub, _ = rows[0] + line = next( + line for p, n, line in find_stale() if p == place and n == name and sub in line + ) + other = "elig" if name != "elig" else "opts" + unreviewed, _ = check( + [(place, name, line), (place, other, line + f" {other}")], rows + ) + assert unreviewed == [f"{place}: [{other}] {line} {other}"] + + +def test_the_rule_reads_static_method_texts(): + # A staticmethod's own text (from_csr's), not the descriptor's generic help. + texts = {(place, line.strip()) for place, line, _, _ in docstring_texts()} + assert any( + place == "PredecessorDAG.from_csr" and "parent_offsets" in line + for place, line in texts + ) + assert not any("It can be called either on the class" in line for _, line in texts) diff --git a/tests/py/test_route_choice.py b/tests/py/test_route_choice.py new file mode 100644 index 0000000..df1cbf2 --- /dev/null +++ b/tests/py/test_route_choice.py @@ -0,0 +1,32 @@ +"""The route choice of ShortestPaths: the single-path order read on the service +view at preparation, one record per source over the route the rule chooses.""" + +from __future__ import annotations + +from helpers import build + +import netgraph_core as ngc + +TIE = ngc.RouteTieBreak + + +def test_shortest_paths_single_path(): + # TRI (three parallel cost-1 links of capacities 4, 10, 100 and a cost-2 link of 50) with the + # service view 4, 8, 5, 50: FEWER_HOPS e0, HIGHER_CAPACITY e2, HIGHER_AVAILABLE_CAPACITY e1, + # HIGHER_HEADROOM e0 (4/4 = 1 against 4/5 and 1/20). + g = build(2, [(0, 1, 4, 1), (0, 1, 10, 1), (0, 1, 100, 1), (0, 1, 50, 2)]) + for tie, want in ( + (TIE.FEWER_HOPS, 0), + (TIE.HIGHER_CAPACITY, 2), + (TIE.HIGHER_AVAILABLE_CAPACITY, 1), + (TIE.HIGHER_HEADROOM, 0), + ): + ledger = ngc.FlowLedger(g, service_baseline=[4, 8, 5, 50]) + cfg = ngc.FlowPolicyConfig( + routing=ngc.ShortestPaths(tie_break=tie, multipath=False) + ) + policy = ngc.FlowPolicy(ledger, 0, 1, cfg) + assert policy.place(1).call_delivered == 1, tie + (record,) = policy.records() + assert record.route.via_edges().tolist() == [want], tie + assert record.edge_flows == [(want, 1)], tie diff --git a/tests/py/test_route_structures.py b/tests/py/test_route_structures.py index e66a70f..b5266a7 100644 --- a/tests/py/test_route_structures.py +++ b/tests/py/test_route_structures.py @@ -1,4 +1,4 @@ -"""PredDAG, Path, PathSelection, the enums and Eligibility.intersect through the bindings +"""PredecessorDAG, Path, RouteTieBreak, the enums and Eligibility.intersect through the bindings (docs/semantics.md#3-route-values-preddag-and-path): validation in the documented order on unnarrowed values, read-only views, structural equality.""" @@ -15,13 +15,13 @@ L64 = 1 << 64 -# ids by (src, cost, dst, input): 0: 0->1, 1: 0->1, 2: 0->2 (cost 3), 3: 1->2, 4: 2->0 +# ids by (source, cost, destination, input): 0: 0->1, 1: 0->1, 2: 0->2 (cost 3), 3: 1->2, 4: 2->0 G_EDGES = [(0, 1, 5, 1), (0, 1, 5, 1), (1, 2, 5, 1), (0, 2, 5, 3), (2, 0, 5, 1)] def test_from_csr_round_trip_and_views(): g = build(3, G_EDGES) - dag = ngc.PredDAG.from_csr(g, [0, 0, 2, 4], [0, 0, 0, 1], [0, 1, 2, 3]) + dag = ngc.PredecessorDAG.from_csr(g, [0, 0, 2, 4], [0, 0, 0, 1], [0, 1, 2, 3]) assert dag.graph_uid() == g.uid() assert list(dag.parent_offsets()) == [0, 0, 2, 4] assert list(dag.parents()) == [0, 0, 0, 1] @@ -43,16 +43,16 @@ def test_from_csr_round_trip_and_views(): gc.collect() assert list(view) == [0, 1, 2, 3] # the views keep the DAG alive assert list(parents) == [0, 0, 0, 1] - same = ngc.PredDAG.from_csr( + same = ngc.PredecessorDAG.from_csr( g, np.array([0, 0, 2, 4]), np.array([0, 0, 0, 1]), np.array([0, 1, 2, 3]) ) - again = ngc.PredDAG.from_csr(g, [0, 0, 2, 4], [0, 0, 0, 1], [0, 1, 2, 3]) + again = ngc.PredecessorDAG.from_csr(g, [0, 0, 2, 4], [0, 0, 0, 1], [0, 1, 2, 3]) assert same == again and hash(same) == hash(again) - assert same != ngc.PredDAG.from_csr(g, [0, 0, 0, 0], [], []) + assert same != ngc.PredecessorDAG.from_csr(g, [0, 0, 0, 0], [], []) # Equality includes the graph: the same CSR on a twin graph (the same arrays, another uid) is # another value. twin = build(3, G_EDGES) - there = ngc.PredDAG.from_csr(twin, [0, 0, 2, 4], [0, 0, 0, 1], [0, 1, 2, 3]) + there = ngc.PredecessorDAG.from_csr(twin, [0, 0, 2, 4], [0, 0, 0, 1], [0, 1, 2, 3]) assert there.graph_uid() == twin.uid() != g.uid() assert list(there.via_edges()) == list(same.via_edges()) assert there != same and not there == same @@ -61,27 +61,32 @@ def test_from_csr_round_trip_and_views(): @pytest.mark.parametrize( ("offsets", "parents", "via", "message"), [ - ([0, 0, 0], [], [], "offsets has length 3, expected N + 1 = 4"), - ([1, 0, 2, 1], [], [], "offsets[0] = 1, expected 0"), - ([L64, 0, 0, 0], [], [], "offsets[0] = 18446744073709551616, expected 0"), - ([0, 2, 1, 2], [0, 0], [0, 1], "offsets are not monotone at 2 (2 > 1)"), + ([0, 0, 0], [], [], "parent_offsets has length 3, expected N + 1 = 4"), + ([1, 0, 2, 1], [], [], "parent_offsets[0] = 1, expected 0"), + ( + [L64, 0, 0, 0], + [], + [], + "parent_offsets[0] = 18446744073709551616, expected 0", + ), + ([0, 2, 1, 2], [0, 0], [0, 1], "parent_offsets are not monotone at 2 (2 > 1)"), ( [0, L64, 0, 0], [], [], - "offsets are not monotone at 2 (18446744073709551616 > 0)", + "parent_offsets are not monotone at 2 (18446744073709551616 > 0)", ), ( [0, 0, 2, 2], [0], [0, 1], - "offsets[N] = 2 but parents has 1 and via has 2 entries", + "parent_offsets[N] = 2 but parents has 1 and via_edges has 2 entries", ), ( [0, 0, 2, 3], [9, 0], [0, 1], - "offsets[N] = 3 but parents has 2 and via has 2 entries", + "parent_offsets[N] = 3 but parents has 2 and via_edges has 2 entries", ), ([0, 0, 2, 2], [3, 0], [0, 1], "parents[0] = 3 out of node range [0, 3)"), ( @@ -94,7 +99,7 @@ def test_from_csr_round_trip_and_views(): [0, 0, 2, 2], [0, 0], [0, L64], - "via[1] = 18446744073709551616 out of edge range [0, 5)", + "via_edges[1] = 18446744073709551616 out of edge range [0, 5)", ), ( [0, 0, 2, 2], @@ -115,8 +120,8 @@ def test_from_csr_round_trip_and_views(): ) def test_from_csr_validation_order(offsets, parents, via, message): g = build(3, G_EDGES) - with pytest.raises(ValueError, match=exact(f"PredDAG.from_csr: {message}")): - ngc.PredDAG.from_csr(g, offsets, parents, via) + with pytest.raises(ValueError, match=exact(f"PredecessorDAG.from_csr: {message}")): + ngc.PredecessorDAG.from_csr(g, offsets, parents, via) def test_from_csr_reports_the_first_of_several_defects(): @@ -127,20 +132,20 @@ def test_from_csr_reports_the_first_of_several_defects(): g = build(3, G_EDGES) big = 2**70 steps = [ - ([1, 0, 0], [big], [big], "offsets has length 3, expected N + 1 = 4"), - ([1, 0, 2, 5], [big], [big], "offsets[0] = 1, expected 0"), - ([0, 2, 1, 5], [big], [big], "offsets are not monotone at 2 (2 > 1)"), + ([1, 0, 0], [big], [big], "parent_offsets has length 3, expected N + 1 = 4"), + ([1, 0, 2, 5], [big], [big], "parent_offsets[0] = 1, expected 0"), + ([0, 2, 1, 5], [big], [big], "parent_offsets are not monotone at 2 (2 > 1)"), ( [0, 0, 2, 5], [big], [big], - "offsets[N] = 5 but parents has 1 and via has 1 entries", + "parent_offsets[N] = 5 but parents has 1 and via_edges has 1 entries", ), ( [0, 1, 4, 6], [2, 0, 0, 0, 0, 1], [4, 1, 0, 0, 0, big], - f"via[5] = {big} out of edge range [0, 5)", + f"via_edges[5] = {big} out of edge range [0, 5)", ), ( [0, 1, 4, 6], @@ -164,9 +169,9 @@ def test_from_csr_reports_the_first_of_several_defects(): ] for offsets, parents, via, message in steps: with pytest.raises(ValueError) as info: - ngc.PredDAG.from_csr(g, offsets, parents, via) - assert str(info.value) == "PredDAG.from_csr: " + message - ngc.PredDAG.from_csr(g, [0, 0, 2, 4], [0, 0, 0, 1], [0, 1, 2, 3]) + ngc.PredecessorDAG.from_csr(g, offsets, parents, via) + assert str(info.value) == "PredecessorDAG.from_csr: " + message + ngc.PredecessorDAG.from_csr(g, [0, 0, 2, 4], [0, 0, 0, 1], [0, 1, 2, 3]) @pytest.mark.parametrize( @@ -184,12 +189,12 @@ def test_from_csr_compares_offsets_beyond_int64_exactly(offsets): # monotonicity error at its index, before the offsets[N] count check. g = build(2, [(0, 1, 1, 1)]) with pytest.raises(ValueError, match="not monotone at 2"): - ngc.PredDAG.from_csr(g, offsets, [], []) + ngc.PredecessorDAG.from_csr(g, offsets, [], []) increasing = [0, 2**99, 2**100] with pytest.raises( ValueError, match=r"offsets\[N\] = 1267650600228229401496703205376" ): - ngc.PredDAG.from_csr(g, increasing, [], []) + ngc.PredecessorDAG.from_csr(g, increasing, [], []) class FailingIndex: @@ -224,35 +229,37 @@ def test_from_csr_passes_a_failed_offset_conversion_through(fail_on, which, erro error = error_type("conversion failed") offsets[which].fail_on, offsets[which].error = fail_on, error with pytest.raises(error_type) as info: - ngc.PredDAG.from_csr(g, offsets, [], []) + ngc.PredecessorDAG.from_csr(g, offsets, [], []) assert info.value is error assert info.value.__cause__ is None and info.value.__context__ is None assert offsets[which].calls == fail_on # Without a failure the same offsets reach the count check (2**100 is not 0 entries). - with pytest.raises(ValueError, match=r"^PredDAG.from_csr: offsets\[N\] = "): - ngc.PredDAG.from_csr(g, [0, FailingIndex(), FailingIndex()], [], []) + with pytest.raises( + ValueError, match=r"^PredecessorDAG.from_csr: parent_offsets\[N\] = " + ): + ngc.PredecessorDAG.from_csr(g, [0, FailingIndex(), FailingIndex()], [], []) def test_from_csr_type_and_shape_defects(): g = build(3, G_EDGES) with pytest.raises( - ValueError, match=exact("offsets must be a 1-D array (got 2 dimensions)") + ValueError, match=exact("parent_offsets must be a 1-D array (got 2 dimensions)") ): - ngc.PredDAG.from_csr(g, np.zeros((2, 2), dtype=np.int64), [], []) + ngc.PredecessorDAG.from_csr(g, np.zeros((2, 2), dtype=np.int64), [], []) with pytest.raises( - ValueError, match=exact("offsets[3] must be an integer (got float)") + ValueError, match=exact("parent_offsets[3] must be an integer (got float)") ): - ngc.PredDAG.from_csr(g, [0, 0, 0, 0.0], [], []) + ngc.PredecessorDAG.from_csr(g, [0, 0, 0, 0.0], [], []) with pytest.raises( - ValueError, match=exact("offsets[3] must be an integer (got bool)") + ValueError, match=exact("parent_offsets[3] must be an integer (got bool)") ): - ngc.PredDAG.from_csr(g, [0, 0, 0, True], [], []) + ngc.PredecessorDAG.from_csr(g, [0, 0, 0, True], [], []) def test_path_cost_hops_and_to_dag(): g = build(3, G_EDGES) p = ngc.Path(g, [[1, 0], [3]]) - assert (p.src(), p.dst(), p.cost()) == (0, 2, 2) + assert (p.source(), p.destination(), p.cost()) == (0, 2, 2) assert p.hops() == [[1, 0], [3]] # the caller's member order is kept dag = p.to_dag() assert list(dag.parent_offsets()) == [0, 0, 2, 3] @@ -316,41 +323,25 @@ def test_path_reports_the_first_of_several_defects(): assert str(info.value) == "Path: " + message -def test_path_selection_and_enums(): - sel = ngc.PathSelection( - ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, ngc.EdgePriority.HEADROOM - ) - assert (sel.multipath, sel.multi_edge) == (None, True) - assert sel.tie_break == ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY - assert sel == ngc.PathSelection( - ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, ngc.EdgePriority.HEADROOM, None, True - ) - assert sel != ngc.PathSelection( - ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, - ngc.EdgePriority.HEADROOM, - multipath=False, - ) - assert "PREFER_HIGHER_PRIORITY" in repr(sel) - # Every field has a default (contract 3.2, 3.3): DETERMINISTIC, CAPACITY, multipath None - # (the model's natural shape), multi_edge. - default = ngc.PathSelection() - assert (default.tie_break, default.priority) == ( - ngc.EdgeTieBreak.DETERMINISTIC, - ngc.EdgePriority.CAPACITY, - ) - assert (default.multipath, default.multi_edge) == (None, True) - assert {m.name for m in ngc.FlowPlacement.__members__.values()} == { - "MAX_FLOW", +def test_route_tie_break_and_enums(): + # RouteTieBreak has exactly four values, FEWER_HOPS first (the default everywhere); the + # route choice is fields of the models and the search options, not an object. + assert list(ngc.RouteTieBreak.__members__) == [ + "FEWER_HOPS", + "HIGHER_CAPACITY", + "HIGHER_AVAILABLE_CAPACITY", + "HIGHER_HEADROOM", + ] + assert ngc.ShortestPaths().tie_break == ngc.RouteTieBreak.FEWER_HOPS + assert {m.name for m in ngc.RouteAllocation.__members__.values()} == { + "OPTIMIZED", "WEIGHTED", - "EQUAL_BALANCED", + "EQUAL", } assert set(ngc.Admission.__members__) == {"LOSSLESS", "LOSSY"} - assert set(ngc.Origin.__members__) == {"EQUAL", "OPTIMIZED"} - assert set(ngc.EdgePriority.__members__) == {"RESIDUAL", "CAPACITY", "HEADROOM"} - assert set(ngc.EdgeTieBreak.__members__) == { - "DETERMINISTIC", - "PREFER_HIGHER_PRIORITY", - } + assert set(ngc.SourceAllocation.__members__) == {"EQUAL", "OPTIMIZED"} + for retired in ("PathSelection", "EdgeTieBreak", "EdgePriority"): + assert retired not in dir(ngc), retired def test_eligibility_intersect_returns_the_operand_object(): diff --git a/tests/py/test_search.py b/tests/py/test_search.py index 33fe136..10b2b98 100644 --- a/tests/py/test_search.py +++ b/tests/py/test_search.py @@ -11,15 +11,15 @@ import numpy as np import pytest from helpers import ( - DET, + FEWER, + HIGHER_AVAIL, + HIGHER_CAP, L62, - PREFER, - RES, + assert_read_only, build, exact, ids, plain, - sel, sweep_python_allocation, to_ids, ) @@ -35,8 +35,8 @@ def via(dag): return sorted(int(e) for e in dag.via_edges()) -def opts(direction=FWD, selection=None, **kw): - return ngc.SpfOptions(direction, selection or sel(), **kw) +def opts(direction=FWD, **kw): + return ngc.SpfOptions(direction, **kw) ANYCAST = [(0, 1, 1, 1), (1, 2, 1, 1), (0, 3, 1, 2), (3, 2, 1, 5), (1, 4, 1, 5)] @@ -83,23 +83,26 @@ def test_reverse_full_search_is_forward_oriented(): def test_staged_single_path_with_a_shared_bottleneck_takes_the_fewest_hops(): # s -> v (1, prio 1), v -> t (3, prio 1), v -> a -> b -> t (1 + 1 + 1, prio 2): the - # bottleneck of every walk is 1, so the two-hop walk wins under both tie modes. + # bottleneck of every walk is 1, so the two-hop walk wins under FEWER_HOPS and + # HIGHER_CAPACITY. g = build(5, [(0, 1, 1, 1), (1, 4, 1, 3), (1, 2, 2, 1), (2, 3, 2, 1), (3, 4, 2, 1)]) - for tie in (DET, PREFER): - s = sel(tie, mp=False) - f = ngc.spf(g, 0, opts(selection=s, targets=4)) + for tie in (FEWER, HIGHER_CAP): + f = ngc.spf(g, 0, opts(tie_break=tie, multipath=False, targets=4)) assert via(f.dag) == ids(g, {0, 1}) assert f.target_cost == 4 - r = ngc.spf(g, 4, opts(REV, selection=s, targets=0)) + r = ngc.spf(g, 4, opts(REV, tie_break=tie, multipath=False, targets=0)) assert r.dag == f.dag -def test_residual_gating_and_priority(): +def test_residual_gating_and_tie_scores(): # Capacities 5; residuals by input [5, 4, 1, 3, 2]: 0->1->3 has bottleneck 4. g = build(4, [(0, 1, 5, 1), (1, 3, 5, 1), (0, 2, 5, 1), (2, 3, 5, 1), (0, 3, 5, 2)]) residual = np.array(to_ids(g, [5, 4, 1, 3, 2]), dtype=np.int64) - s = sel(PREFER, RES, mp=False) - r = ngc.spf(g, 0, opts(selection=s, targets=3, residual=residual)) + r = ngc.spf( + g, + 0, + opts(tie_break=HIGHER_AVAIL, multipath=False, targets=3, residual=residual), + ) assert via(r.dag) == ids(g, {0, 1}) # Gated at 4 units: only 0->1 (5) and 1->3 (4) are routable on that walk; the direct edge # (residual 2) is gated out, so the cost-2 walk is the two-hop one through node 1. @@ -135,7 +138,21 @@ def test_validation_order_on_unnarrowed_values(): "multipath = false requires targets (the single path joins a root to a target)" ) with pytest.raises(ValueError, match=exact(single)): - ngc.spf(g, 0, opts(selection=sel(mp=False))) + ngc.spf(g, 0, opts(multipath=False)) + ineffective = "spf tie_break requires multipath=False or parallel_edges=False" + with pytest.raises(ValueError, match=exact(ineffective)): + ngc.spf(g, 0, opts(tie_break=HIGHER_CAP)) + for multipath, parallel_edges in ((False, True), (True, False), (False, False)): + ngc.spf( + g, + 0, + opts( + tie_break=HIGHER_CAP, + multipath=multipath, + parallel_edges=parallel_edges, + targets=None if multipath else 2, + ), + ) with pytest.raises( ValueError, match=exact("min_residual must be at least 1 unit (got 0)") ): @@ -149,9 +166,9 @@ def test_validation_order_on_unnarrowed_values(): ): ngc.spf(g, 0, opts(min_residual=1.5)) with pytest.raises(ValueError, match="^foreign Eligibility"): - ngc.spf(g, 0, opts(elig=other.eligibility([], [0]))) + ngc.spf(g, 0, opts(eligibility=other.eligibility([], [0]))) # Several defects: the first in the documented order (roots, targets, overlap, single - # path, residual, min_residual, Eligibility). + # path, the ineffective tie rule, residual, min_residual, Eligibility). with pytest.raises(ValueError, match=exact("roots: the node set is empty")): ngc.spf(g, [], opts(targets=[], residual=[1], min_residual=0)) with pytest.raises(ValueError, match=rf"^targets: node {big} out of node range"): @@ -159,15 +176,13 @@ def test_validation_order_on_unnarrowed_values(): with pytest.raises(ValueError, match="both endpoint sets"): ngc.spf(g, 0, opts(targets=0, residual=[])) with pytest.raises(ValueError, match=exact(single)): - ngc.spf( - g, - 0, - opts(selection=sel(mp=False), residual=[]), - ) + ngc.spf(g, 0, opts(multipath=False, tie_break=HIGHER_CAP, residual=[])) + with pytest.raises(ValueError, match=exact(ineffective)): + ngc.spf(g, 0, opts(tie_break=HIGHER_CAP, residual=[], min_residual=0)) with pytest.raises(ValueError, match="^residual"): ngc.spf(g, 0, opts(residual=[1, 9], min_residual=0)) with pytest.raises(ValueError, match="^min_residual"): - ngc.spf(g, 0, opts(min_residual=0, elig=other.eligibility([], [0]))) + ngc.spf(g, 0, opts(min_residual=0, eligibility=other.eligibility([], [0]))) # A min_residual above INT64_MAX is no error and acts as INT64_MAX does: it gates every # residual edge, even one whose residual is the largest unit value 2^62 - 1, which # min_residual = 2^62 - 1 itself admits. @@ -186,21 +201,27 @@ def test_options_types_and_enumerations(): g = build(2, [(0, 1, 1, 1)]) o = opts(targets=[1], min_residual=3) assert o.direction == FWD and o.targets == [1] and o.min_residual == 3 - assert o.residual is None and o.elig is None + assert o.residual is None and o.eligibility is None with pytest.raises( ValueError, match=exact("direction: 7 is not a value of Direction") ): - ngc.SpfOptions(ngc.Direction(7), sel()) + ngc.SpfOptions(ngc.Direction(7)) with pytest.raises(TypeError): - ngc.SpfOptions(FWD, sel(), fanout_edges=[0]) + ngc.SpfOptions(FWD, fanout_edges=[0]) with pytest.raises(TypeError, match=r"^spf\(\): incompatible function arguments"): ngc.spf(g, 0, opts(), fanout_edges=[0]) - with pytest.raises( - TypeError, match=exact("SpfOptions expected (got PathSelection)") - ): - ngc.spf(g, 0, sel()) + with pytest.raises(TypeError, match=exact("SpfOptions expected (got KspOptions)")): + ngc.spf(g, 0, ngc.KspOptions(1)) + with pytest.raises(TypeError): + ngc.SpfOptions() + # The route choice: keywords only, bools strictly (None and 1 are no bool). with pytest.raises(TypeError): - ngc.SpfOptions(FWD) + ngc.SpfOptions(FWD, None) + for bad in (None, 1, "yes"): + for name in ("multipath", "parallel_edges"): + with pytest.raises(TypeError): + ngc.SpfOptions(FWD, **{name: bad}) + assert ngc.SpfOptions(FWD, multipath=np.bool_(False)).multipath is False # Roots as a NumPy array, with duplicates. r = ngc.spf(g, np.array([0, 0], dtype=np.int32), opts()) assert list(r.costs) == [0, 1] @@ -210,7 +231,8 @@ def test_options_types_and_enumerations(): targets, residual, low = [1, 1], [9], -(2**70) o = opts(targets=targets, residual=residual, min_residual=low) assert o.targets is targets and o.residual is residual and o.min_residual is low - assert o.selection == sel() + assert (o.tie_break, o.multipath, o.parallel_edges) == (FEWER, True, True) + assert_read_only(o, "direction", "tie_break", "multipath", "parallel_edges") with pytest.raises(ValueError, match=r"^residual\[0\] = 9 is outside"): ngc.spf(g, 0, o) @@ -222,7 +244,7 @@ def test_python_result_construction_is_all_or_nothing(): g = build(5, ANYCAST) for o in (opts(targets=[2, 4]), opts()): failures = sweep_python_allocation(lambda o=o: (ngc.spf, (g, 0, o), list), 200) - assert failures >= 3, o.targets + assert failures >= 2, o.targets @needs_hooks @@ -356,3 +378,83 @@ def snapshot(): with pytest.raises(pytest.fail.Exception) as info: sweep_python_allocation(lambda: (ngc.spf, (g, 0, opts()), list), 2) assert str(info.value) == "spf never completed" + + +# The route choice. TRI: three parallel cost-1 links 0 -> 1 of capacities 4, 10, +# 100 and a cost-2 link of 50; availability (the residual) 4, 8, 5, 50. +TRI = [(0, 1, 4, 1), (0, 1, 10, 1), (0, 1, 100, 1), (0, 1, 50, 2)] +TRI_AVAILABLE = [4, 8, 5, 50] +TIE = ngc.RouteTieBreak +# The scores: HIGHER_CAPACITY 4, 10, 100; HIGHER_AVAILABLE_CAPACITY 4, 8, 5; HIGHER_HEADROOM +# 4/4 = 1, 8/10 = 4/5, 5/100 = 1/20. The costlier e3 never wins. +TRI_WINNER = { + TIE.FEWER_HOPS: 0, + TIE.HIGHER_CAPACITY: 2, + TIE.HIGHER_AVAILABLE_CAPACITY: 1, + TIE.HIGHER_HEADROOM: 0, +} + + +def test_tie_parallel(): + # TIE-parallel: the single path takes one link per rule. + g = build(2, TRI) + for tie, want in TRI_WINNER.items(): + options = opts( + targets=[1], multipath=False, tie_break=tie, residual=TRI_AVAILABLE + ) + assert via(ngc.spf(g, 0, options).dag) == [want], tie + + +def test_parallel_collapse(): + # Multipath with one member per (u, v) pair: the DAG keeps one link of the cost-1 class, + # chosen by the same rule. + g = build(2, TRI) + for tie, want in TRI_WINNER.items(): + options = opts(parallel_edges=False, tie_break=tie, residual=TRI_AVAILABLE) + assert via(ngc.spf(g, 0, options).dag) == [want], tie + + +def test_tie_routes(): + # TIE-routes: a direct link of capacity 3 (e1, cost 2) against two hops of capacity 10 (e0, + # e2, cost 1 each). Without a residual every score reads static capacity, and HEADROOM reads + # 1 on every positive link, so its bottlenecks tie and hops decide. TIE-bottleneck: with e2 + # at capacity 1 the two-hop bottleneck is 1 and every rule takes the direct link, although + # the two-hop route's first link is the larger one. + for e2, want in ( + (10, {TIE.FEWER_HOPS: [1], TIE.HIGHER_CAPACITY: [0, 2]}), + (1, {TIE.FEWER_HOPS: [1], TIE.HIGHER_CAPACITY: [1]}), + ): + g = build(3, [(0, 1, 10, 1), (0, 2, 3, 2), (1, 2, e2, 1)]) + want[TIE.HIGHER_AVAILABLE_CAPACITY] = want[TIE.HIGHER_CAPACITY] + want[TIE.HIGHER_HEADROOM] = [1] + for tie in TIE.__members__.values(): + r = ngc.spf(g, 0, opts(targets=[2], multipath=False, tie_break=tie)) + assert via(r.dag) == want[tie], (e2, tie) + + +def test_headroom_zero_capacity(): + # Without a residual HIGHER_HEADROOM reads 0 on a zero-capacity link and 1 on a positive + # one, so it takes e1; FEWER_HOPS takes the lower EdgeId e0. + g = build(2, [(0, 1, 0, 1), (0, 1, 5, 1)]) + for tie, want in ((TIE.HIGHER_HEADROOM, [1]), (TIE.FEWER_HOPS, [0])): + r = ngc.spf(g, 0, opts(targets=[1], multipath=False, tie_break=tie)) + assert via(r.dag) == want, tie + + +def test_tie_rule_validation(): + # spf's entry: the ineffective tie rule after the single-path rule and before the residual. + g = build(3, [(0, 1, 2, 1), (1, 2, 2, 1)]) + ineffective = "spf tie_break requires multipath=False or parallel_edges=False" + single = ( + "multipath = false requires targets (the single path joins a root to a target)" + ) + with pytest.raises(ValueError, match=exact(ineffective)): + ngc.spf(g, 0, opts(tie_break=TIE.HIGHER_CAPACITY)) + with pytest.raises(ValueError, match=exact(ineffective)): + ngc.spf(g, 0, opts(tie_break=TIE.HIGHER_CAPACITY, residual=[1])) + with pytest.raises(ValueError, match=exact(single)): + ngc.spf(g, 0, opts(tie_break=TIE.HIGHER_CAPACITY, multipath=False)) + assert ngc.spf( + g, 0, opts(tie_break=TIE.HIGHER_CAPACITY, parallel_edges=False) + ).costs.tolist() == [0, 1, 2] + assert ngc.spf(g, 0, opts()).costs.tolist() == [0, 1, 2] diff --git a/tests/py/test_dag_cache.py b/tests/py/test_shortest_path_cache.py similarity index 62% rename from tests/py/test_dag_cache.py rename to tests/py/test_shortest_path_cache.py index 6ee724d..830ff1a 100644 --- a/tests/py/test_dag_cache.py +++ b/tests/py/test_shortest_path_cache.py @@ -1,5 +1,5 @@ -"""The DagCache's modes through the binding (docs/semantics.md#9-the-dag-cache): the -transition table, DagCacheMiss as a dedicated exception propagated unchanged by the evaluators, +"""The ShortestPathCache's modes through the binding (docs/semantics.md#9-the-dag-cache): the +transition table, ShortestPathCacheMiss as a dedicated exception propagated unchanged by the evaluators, the evaluators' sharing rules (a frozen cache shared by every worker, a building one rejected with two or more), the reuse of prepopulated Eligibility uids, frozen lookups from several Python threads, and a frozen cache's statistics under failed calls.""" @@ -27,11 +27,11 @@ def fabric(): def prepopulate(g, keys): - """A building cache holding the CostOnly support of each destination set (a capacity call + """A building cache holding the ShortestPaths support of each destination set (a capacity call looks up the destinations' reverse support; the source is spine 6), frozen afterwards.""" - cache = ngc.DagCache(g) + cache = ngc.ShortestPathCache(g) for dst in keys: - ngc.capacity(g, 6, dst, ngc.QueryOptions(COSTONLY, cache=cache)) + ngc.evaluate_demand(g, 6, dst, ngc.EvaluationOptions(COSTONLY, cache=cache)) cache.freeze() return cache @@ -43,20 +43,20 @@ def stats(cache): def test_transition_table(): g = fabric() - cache = ngc.DagCache(g) - opts = ngc.QueryOptions(COSTONLY, cache=cache) - want = ngc.capacity(g, 0, 3, ngc.QueryOptions(COSTONLY)).placed + cache = ngc.ShortestPathCache(g) + opts = ngc.EvaluationOptions(COSTONLY, cache=cache) + want = ngc.evaluate_demand(g, 0, 3, ngc.EvaluationOptions(COSTONLY)).call_delivered assert want == 12 # three spines of 4: the comparisons below are not of zeros - assert ngc.capacity(g, 0, 3, opts).placed == want + assert ngc.evaluate_demand(g, 0, 3, opts).call_delivered == want assert stats(cache) == (0, 1, 1) cache.freeze() cache.freeze() # no effect - assert ngc.capacity(g, 1, 3, opts).placed == want # a hit + assert ngc.evaluate_demand(g, 1, 3, opts).call_delivered == want # a hit assert stats(cache) == (1, 1, 1) with pytest.raises( - ngc.DagCacheMiss, match=r"no entry for roots \{4\}, direction Reverse" + ngc.ShortestPathCacheMiss, match=r"no entry for roots \{4\}, direction Reverse" ): - ngc.capacity(g, 0, 4, opts) + ngc.evaluate_demand(g, 0, 4, opts) assert stats(cache) == (1, 2, 1) # one miss, nothing inserted with pytest.raises(ValueError, match="rejected while the cache is frozen"): cache.clear() @@ -64,7 +64,7 @@ def test_transition_table(): cache.thaw() cache.thaw() # no effect assert ( - ngc.capacity(g, 0, 4, opts).placed == want + ngc.evaluate_demand(g, 0, 4, opts).call_delivered == want ) # building again: searches, inserts assert stats(cache) == (1, 3, 2) cache.clear() @@ -72,39 +72,44 @@ def test_transition_table(): def test_miss_is_a_dedicated_exception(): - assert issubclass(ngc.DagCacheMiss, Exception) - assert not issubclass(ngc.DagCacheMiss, (RuntimeError, ValueError, TypeError)) - assert ngc.DagCacheMiss.__doc__ + assert issubclass(ngc.ShortestPathCacheMiss, Exception) + assert not issubclass( + ngc.ShortestPathCacheMiss, (RuntimeError, ValueError, TypeError) + ) + assert ngc.ShortestPathCacheMiss.__doc__ def test_frozen_cache_shared_by_every_worker(): g = fabric() pairs = [(0, 3), (1, 4), (2, 5), ([0, 1], [3, 4])] - want = [r.placed for r in ngc.batch_capacity(g, pairs, ngc.QueryOptions(COSTONLY))] - building = ngc.DagCache(g) + want = [ + r.call_delivered + for r in ngc.evaluate_pairs(g, pairs, ngc.EvaluationOptions(COSTONLY)) + ] + building = ngc.ShortestPathCache(g) with pytest.raises(ValueError, match="workers == 1"): - ngc.batch_capacity( - g, pairs, ngc.QueryOptions(COSTONLY, cache=building), workers=2 + ngc.evaluate_pairs( + g, pairs, ngc.EvaluationOptions(COSTONLY, cache=building), workers=2 ) assert all(w > 0 for w in want) # every pair places: the comparison is not of zeros cache = prepopulate(g, [[3], [4], [5], [3, 4]]) for workers in (1, 2, 4): before = stats(cache) - got = ngc.batch_capacity( - g, pairs, ngc.QueryOptions(COSTONLY, cache=cache), workers=workers + got = ngc.evaluate_pairs( + g, pairs, ngc.EvaluationOptions(COSTONLY, cache=cache), workers=workers ) - assert [r.placed for r in got] == want + assert [r.call_delivered for r in got] == want assert stats(cache) == (before[0] + 4, before[1], 4), workers # a hit per pair # The lowest failing pair index's miss: pairs 0 and 2 miss, pair 0's key is reported, and # the call counts that one miss. partial = prepopulate(g, [[4]]) for workers in (1, 2, 4): before = stats(partial) - with pytest.raises(ngc.DagCacheMiss, match=r"roots \{3\}"): - ngc.batch_capacity( + with pytest.raises(ngc.ShortestPathCacheMiss, match=r"roots \{3\}"): + ngc.evaluate_pairs( g, pairs[:3], - ngc.QueryOptions(COSTONLY, cache=partial), + ngc.EvaluationOptions(COSTONLY, cache=partial), workers=workers, ) assert stats(partial) == (before[0], before[1] + 1, 1), workers @@ -116,41 +121,47 @@ def test_prepopulated_uids_and_intersections(): narrow = g.eligibility(excluded_edges=[0, 1]) # contained in common other = g.eligibility(excluded_edges=[1]) # the intersection with common is new pairs = [(1, 4), (2, 5)] - cache = ngc.DagCache(g) - ngc.capacity(g, 1, 4, ngc.QueryOptions(COSTONLY, elig=narrow, cache=cache)) - ngc.capacity(g, 2, 5, ngc.QueryOptions(COSTONLY, elig=common, cache=cache)) + cache = ngc.ShortestPathCache(g) + ngc.evaluate_demand( + g, 1, 4, ngc.EvaluationOptions(COSTONLY, eligibility=narrow, cache=cache) + ) + ngc.evaluate_demand( + g, 2, 5, ngc.EvaluationOptions(COSTONLY, eligibility=common, cache=cache) + ) cache.freeze() - opts = ngc.QueryOptions(COSTONLY, elig=common, cache=cache) - ngc.batch_capacity(g, pairs, opts, [narrow, None], workers=2) # returns the operand - ngc.batch_capacity( + opts = ngc.EvaluationOptions(COSTONLY, eligibility=common, cache=cache) + ngc.evaluate_pairs(g, pairs, opts, [narrow, None], workers=2) # returns the operand + ngc.evaluate_pairs( g, pairs, - ngc.QueryOptions(COSTONLY, cache=cache), + ngc.EvaluationOptions(COSTONLY, cache=cache), [narrow, common], workers=2, ) assert stats(cache) == (4, 2, 2) - with pytest.raises(ngc.DagCacheMiss, match=r"roots \{4\}"): - ngc.batch_capacity(g, pairs, opts, [other, None], workers=2) + with pytest.raises(ngc.ShortestPathCacheMiss, match=r"roots \{4\}"): + ngc.evaluate_pairs(g, pairs, opts, [other, None], workers=2) -def test_sensitivity_propagates_the_miss_and_global_rejects_a_cache(): +def test_edge_failures_propagates_the_miss_and_global_rejects_a_cache(): g = fabric() cache = prepopulate(g, [[4]]) - opts = ngc.QueryOptions(COSTONLY, cache=cache) + opts = ngc.EvaluationOptions(COSTONLY, cache=cache) for workers in (1, 2, 4): before = stats(cache) - with pytest.raises(ngc.DagCacheMiss, match=r"roots \{4\}"): - ngc.sensitivity(g, 1, 4, opts, workers) + with pytest.raises(ngc.ShortestPathCacheMiss, match=r"roots \{4\}"): + ngc.evaluate_edge_failures(g, 1, 4, opts, workers) assert stats(cache) == (before[0], before[1] + 1, 1), workers # the miss, once - # Only CostOnly reads a DagCache: Global given one is a configuration error at every worker + # Only ShortestPaths reads a ShortestPathCache: CentralizedTE given one is a configuration error at every worker # count, and the cache is not read. - empty = ngc.DagCache(g) + empty = ngc.ShortestPathCache(g) empty.freeze() for workers in (1, 2, 4): - with pytest.raises(ValueError, match=exact("Global does not use DagCache")): - ngc.sensitivity( - g, [0, 1], [4, 5], ngc.QueryOptions(GLOBAL, cache=empty), workers + with pytest.raises( + ValueError, match=exact("CentralizedTE does not use ShortestPathCache") + ): + ngc.evaluate_edge_failures( + g, [0, 1], [4, 5], ngc.EvaluationOptions(GLOBAL, cache=empty), workers ) assert stats(empty) == (0, 0, 0) @@ -159,7 +170,8 @@ def test_frozen_lookups_from_python_threads(): g = fabric() cache = prepopulate(g, [[d] for d in range(6)]) want = { - d: ngc.capacity(g, 6, d, ngc.QueryOptions(COSTONLY)).placed for d in range(6) + d: ngc.evaluate_demand(g, 6, d, ngc.EvaluationOptions(COSTONLY)).call_delivered + for d in range(6) } # The spine's one edge of 4 into each leaf: the comparisons below are not of zeros. assert want == dict.fromkeys(range(6), 4) @@ -169,8 +181,10 @@ def reader(t): try: for i in range(60): d = (i + t) % 6 - r = ngc.capacity(g, 6, d, ngc.QueryOptions(COSTONLY, cache=cache)) - assert r.placed == want[d] + r = ngc.evaluate_demand( + g, 6, d, ngc.EvaluationOptions(COSTONLY, cache=cache) + ) + assert r.call_delivered == want[d] except BaseException as exc: # reported below; pytest's own failures included errors.append(exc) @@ -191,23 +205,25 @@ def plus(stats, hits=0, misses=0): def test_a_failed_call_changes_no_statistic_but_its_miss(): # A public call publishes a frozen cache's hits only when it succeeds: a batch whose pair 0 # hits and pair 1 misses raises the miss, keeps no hit and counts the miss once, with one - # worker and with several; CostOnly sensitivity drops its baseline's hit the same way. + # worker and with several; ShortestPaths' evaluate_edge_failures drops its baseline's hit the same way. g = fabric() cache = prepopulate(g, [[3]]) - opts = ngc.QueryOptions(COSTONLY, cache=cache) + opts = ngc.EvaluationOptions(COSTONLY, cache=cache) for workers in (1, 2, 4): before = stats_of(cache) - with pytest.raises(ngc.DagCacheMiss, match=r"roots \{4\}"): - ngc.batch_capacity( + with pytest.raises(ngc.ShortestPathCacheMiss, match=r"roots \{4\}"): + ngc.evaluate_pairs( g, [(0, 3), (1, 4), (2, 5), (0, 3)], opts, workers=workers ) assert stats_of(cache) == plus(before, misses=1) before = stats_of(cache) - with pytest.raises(ngc.DagCacheMiss, match=r"roots \{3\}"): - ngc.sensitivity(g, 0, 3, ngc.QueryOptions(COSTONLY, cache=cache), workers) + with pytest.raises(ngc.ShortestPathCacheMiss, match=r"roots \{3\}"): + ngc.evaluate_edge_failures( + g, 0, 3, ngc.EvaluationOptions(COSTONLY, cache=cache), workers + ) assert stats_of(cache) == plus(before, misses=1) before = stats_of(cache) - assert ngc.batch_capacity(g, [(0, 3), (1, 3)], opts, workers=2) + assert ngc.evaluate_pairs(g, [(0, 3), (1, 3)], opts, workers=2) assert stats_of(cache) == plus(before, hits=2) @@ -216,15 +232,15 @@ def test_concurrent_calls_keep_every_successful_hit(): # successful capacity (one hit) and a failing batch (its hit dropped, one miss). g = fabric() cache = prepopulate(g, [[3], [4]]) - opts = ngc.QueryOptions(COSTONLY, cache=cache) + opts = ngc.EvaluationOptions(COSTONLY, cache=cache) errors = [] def caller(): try: for _ in range(40): - assert ngc.capacity(g, 0, 3, opts).placed > 0 - with pytest.raises(ngc.DagCacheMiss): - ngc.batch_capacity(g, [(1, 4), (2, 5)], opts, workers=2) + assert ngc.evaluate_demand(g, 0, 3, opts).call_delivered > 0 + with pytest.raises(ngc.ShortestPathCacheMiss): + ngc.evaluate_pairs(g, [(1, 4), (2, 5)], opts, workers=2) except BaseException as exc: # reported below; pytest's own failures included errors.append(exc) @@ -240,10 +256,10 @@ def caller(): def sweep_frozen(cache, fn, args, hits=0, miss=False): """fn(*args) with each Python object allocation failing in turn: a failed call leaves all - five statistics as they were, the result object's allocation included (for example - capacity's allocation 8); the call that completes adds exactly `hits` hits, or, when its - outcome is the DagCacheMiss, one miss. One case keeps the miss: when the call has ended in - the miss and pybind11's translation of DagCacheMiss into its Python exception fails + five statistics as they were, the result object's allocation included; the call that + completes adds exactly `hits` hits, or, when its outcome is the ShortestPathCacheMiss, one + miss. One case keeps the miss: when the call has ended in + the miss and pybind11's translation of ShortestPathCacheMiss into its Python exception fails (MemoryError instead), the miss is counted (pybind11's own machinery is outside the all-or-nothing guarantee); every such failure comes after every allocation of the call itself. Returns the number of failures inside the call (the translation's excluded).""" @@ -257,7 +273,7 @@ def sweep_frozen(cache, fn, args, hits=0, miss=False): after = stats_of(cache) if not hit: if miss: - assert isinstance(error, ngc.DagCacheMiss), repr(error) + assert isinstance(error, ngc.ShortestPathCacheMiss), repr(error) assert after == plus(before, misses=1), (k, before, after) else: assert error is None, repr(error) @@ -282,53 +298,58 @@ def sweep_frozen(cache, fn, args, hits=0, miss=False): def test_frozen_statistics_survive_python_allocation_failures(): g = fabric() cache = prepopulate(g, [[3], [4], [3, 4]]) - opts = ngc.QueryOptions( + opts = ngc.EvaluationOptions( COSTONLY, cache=cache, outputs=ALL_OUT, ) pairs = [(0, 3), (1, 4), ([0, 1], [3, 4])] - assert sweep_frozen(cache, ngc.capacity, (g, 0, 3, opts), hits=1) >= 3 - assert sweep_frozen(cache, ngc.capacity, (g, 0, 5, opts), miss=True) >= 3 + # A call that completes allocates its result objects (one per result); a call that ends in + # the miss allocates nothing before it, so its sweep reaches the miss's translation only. + assert sweep_frozen(cache, ngc.evaluate_demand, (g, 0, 3, opts), hits=1) >= 1 + assert sweep_frozen(cache, ngc.evaluate_demand, (g, 0, 5, opts), miss=True) == 0 for workers in (1, 2): assert ( sweep_frozen( - cache, ngc.batch_capacity, (g, pairs, opts, None, workers), hits=3 + cache, ngc.evaluate_pairs, (g, pairs, opts, None, workers), hits=3 ) >= 3 ) assert ( sweep_frozen( cache, - ngc.batch_capacity, + ngc.evaluate_pairs, (g, [(0, 3), (1, 5)], opts, None, workers), miss=True, ) - >= 3 + == 0 ) - sens = ngc.QueryOptions(COSTONLY, cache=cache) - assert sweep_frozen(cache, ngc.sensitivity, (g, 0, 3, sens, 1), miss=True) >= 3 - # CostOnly sensitivity from a source that reaches no destination: one hit (the baseline's) + sens = ngc.EvaluationOptions(COSTONLY, cache=cache) + assert ( + sweep_frozen(cache, ngc.evaluate_edge_failures, (g, 0, 3, sens, 1), miss=True) + == 0 + ) + # ShortestPaths' evaluate_edge_failures from a source that reaches no destination: one hit (the baseline's) # and no placed deletion. island = build(3, [(0, 1, 4, 1), (1, 0, 4, 1)]) - small = ngc.DagCache(island) - ngc.capacity(island, 0, 1, ngc.QueryOptions(COSTONLY, cache=small)) + small = ngc.ShortestPathCache(island) + ngc.evaluate_demand(island, 0, 1, ngc.EvaluationOptions(COSTONLY, cache=small)) small.freeze() for workers in (1, 2): assert ( sweep_frozen( small, - ngc.sensitivity, + ngc.evaluate_edge_failures, ( island, 2, 1, - ngc.QueryOptions(COSTONLY, cache=small), + ngc.EvaluationOptions(COSTONLY, cache=small), workers, ), hits=1, ) - >= 3 + >= 1 ) @@ -342,38 +363,38 @@ def test_the_frozen_sweep_rejects_a_wrong_call(): g = fabric() cache = prepopulate(g, [[3]]) other = prepopulate(g, [[3]]) - opts = ngc.QueryOptions(COSTONLY, cache=cache, outputs=ALL_OUT) - elsewhere = ngc.QueryOptions(COSTONLY, cache=other, outputs=ALL_OUT) + opts = ngc.EvaluationOptions(COSTONLY, cache=cache, outputs=ALL_OUT) + elsewhere = ngc.EvaluationOptions(COSTONLY, cache=other, outputs=ALL_OUT) hit = (g, 0, 3, opts) miss = (g, 0, 5, opts) def absorbs(*args): try: - return ngc.capacity(*args) + return ngc.evaluate_demand(*args) except MemoryError: return None def hits_first(*args): - ngc.capacity(*args) - return ngc.capacity(*args) + ngc.evaluate_demand(*args) + return ngc.evaluate_demand(*args) def runtime_error(*args): try: - return ngc.capacity(*args) + return ngc.evaluate_demand(*args) except MemoryError: raise RuntimeError("in place of MemoryError") from None # The miss call until its allocations are used up (its translation fails last), then a # longer call of hits that fails inside. - turn = ext._fail_python_allocation(ngc.capacity, miss, 10**6)[1] - longer = (g, [(0, 3), (1, 3)], opts, None, 1) - assert ext._fail_python_allocation(ngc.batch_capacity, longer, 10**6)[1] > turn + 1 + turn = ext._fail_python_allocation(ngc.evaluate_demand, miss, 10**6)[1] + longer = (g, [(0, 3), (1, 3), (2, 3), (4, 3)], opts, None, 1) + assert ext._fail_python_allocation(ngc.evaluate_pairs, longer, 10**6)[1] > turn + 1 attempts = itertools.count() def inside_after_translation(*args): if next(attempts) < turn: - return ngc.capacity(*args) - return ngc.batch_capacity(*longer) + return ngc.evaluate_demand(*args) + return ngc.evaluate_pairs(*longer) for fn, args, expect, clause in ( ( @@ -384,20 +405,25 @@ def inside_after_translation(*args): ), (hits_first, hit, {"hits": 2}, "assert after == before, (k, before, after)"), ( - ngc.capacity, + ngc.evaluate_demand, hit, {"miss": True}, - "assert isinstance(error, ngc.DagCacheMiss), repr(error)", + "assert isinstance(error, ngc.ShortestPathCacheMiss), repr(error)", ), ( - ngc.capacity, + ngc.evaluate_demand, (g, 0, 5, elsewhere), {"miss": True}, "assert after == plus(before, misses=1), (k, before, after)", ), - (ngc.capacity, (g, 0, 99, opts), {}, "assert error is None, repr(error)"), ( - ngc.capacity, + ngc.evaluate_demand, + (g, 0, 99, opts), + {}, + "assert error is None, repr(error)", + ), + ( + ngc.evaluate_demand, hit, {"hits": 2}, "assert after == plus(before, hits=hits), (k, before, after)", @@ -420,11 +446,11 @@ def inside_after_translation(*args): assert traceback.extract_tb(info.tb)[-1].line == clause, clause # Made outside the sweep, as every bound object. - uncached = ngc.QueryOptions(COSTONLY) + uncached = ngc.EvaluationOptions(COSTONLY) def endless(*args): while True: - ngc.capacity(g, 0, 3, uncached) + ngc.evaluate_demand(g, 0, 3, uncached) with pytest.raises(pytest.fail.Exception) as info: sweep_frozen(cache, endless, hit) diff --git a/tests/py/test_origin.py b/tests/py/test_source_allocation.py similarity index 56% rename from tests/py/test_origin.py rename to tests/py/test_source_allocation.py index 0e2f4d3..8235023 100644 --- a/tests/py/test_origin.py +++ b/tests/py/test_source_allocation.py @@ -1,32 +1,34 @@ -"""The origin and the result of one demand (docs/semantics.md, sections 7 and 10): the +"""The source allocation and the result of one demand (docs/semantics.md, sections 7 and 10): the configuration's defaults and table with its error texts and their order, the pooled single-path -rule, the controllers (Global and CostOnly MAX_FLOW) under both origins, min_cut as its own +rule, the controllers (CentralizedTE and ShortestPaths OPTIMIZED) under both source allocations, min_cut as its own output, zero calls before and after preparation, the result's accounting and per-source rows, the terminations and the evaluators. The values are derived by hand; the random tests compare the controllers with the -independent equal-origin and optimized references of ``origin_oracle.py``.""" +independent equal-source-allocation and optimized references of ``source_allocation_oracle.py``.""" from __future__ import annotations import random import pytest -from helpers import build, dag_of, exact, sel -from origin_oracle import ( +from helpers import HIGHER_CAP, assert_read_only, build, dag_of, exact, shortest +from source_allocation_oracle import ( INF, PooledReference, distances_to, - equal_origin, - optimized_origin, + equal_source_allocation, + optimized_source_allocation, rr, ) import netgraph_core as ngc T = ngc.Termination -P = ngc.FlowPlacement +P = ngc.RouteAllocation A = ngc.Admission -ORIGIN = ngc.Origin -ALL = ngc.OutputOptions(edge_flows=True, residual=True, bottleneck=True, min_cut=True) +ORIGIN = ngc.SourceAllocation +ALL = ngc.OutputOptions( + edge_flows=True, residual=True, saturated_boundary_edges=True, min_cut=True +) CUT = ngc.OutputOptions(min_cut=True) POOL = [(0, 2, 10, 1), (1, 2, 10, 1), (2, 3, 1, 1), (2, 3, 1, 1)] # {0, 1} -> 3 @@ -45,19 +47,17 @@ WIT = [(0, 1, 1, 1), (0, 2, 1, 1), (1, 0, 1, 1)] # 0 -> 2 PRIV = [(0, 2, 4, 1), (1, 2, 6, 1)] # {0, 1} -> 2 -POOLED_PHP = "CostOnly with multiple input sources rejects multipath=false with PREFER_HIGHER_PRIORITY" -PREFER_PATH = sel(tie=ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY, mp=False) +POOLED_PHP = "ShortestPaths with multiple input sources requires tie_break=FEWER_HOPS when multipath=False" +PREFER_PATH = ngc.ShortestPaths(tie_break=HIGHER_CAP, multipath=False) -def pinned_route(g, src, dst, edges, placement=None, admission=None, **fields): +def pinned_route(g, src, dst, edges, allocation=None, admission=None): """Pinned over a program of one split route (the edges' DAG) from src to dst.""" program = ngc.ForwardingProgram.from_routes( - g, src, dst, [ngc.Route(src, dag_of(g, edges))], placement=placement + g, src, dst, [ngc.RouteDefinition(src, dag_of(g, edges))], allocation=allocation ) return ngc.FlowPolicyConfig( - routing=ngc.Pinned(program), - admission=admission or ngc.Admission.LOSSLESS, - **fields, + routing=ngc.Pinned(program), admission=admission or ngc.Admission.LOSSLESS ) @@ -65,33 +65,42 @@ def graph(edges): return build(1 + max(max(u, v) for u, v, *_ in edges), edges) -def glob(origin=None): - return ngc.FlowPolicyConfig(routing=ngc.Global(), origin=origin) +def glob(source_allocation=ORIGIN.OPTIMIZED, admission=A.LOSSLESS, **fields): + return ngc.FlowPolicyConfig( + routing=ngc.CentralizedTE(source_allocation=source_allocation, **fields), + admission=admission, + ) def cost_only( - placement=P.EQUAL_BALANCED, admission=A.LOSSLESS, selection=None, origin=None + allocation=P.EQUAL, admission=A.LOSSLESS, routing=None, source_allocation=None ): return ngc.FlowPolicyConfig( - routing=ngc.CostOnly(), - placement=placement, + routing=shortest( + routing, allocation=allocation, source_allocation=source_allocation + ), admission=admission, - selection=selection, - origin=origin, ) def rows(r): return [ - (x.source, x.offered, x.admitted, x.delivered, x.source_loss, x.dropped) + ( + x.source, + x.offered, + x.admitted, + x.delivered, + x.source_drops, + x.total_edge_drops, + ) for x in r.by_source ] -def fresh(edges, sources, dests, config, elig=None, residual=None): +def fresh(edges, sources, dests, config, eligibility=None, residual=None): g = graph(edges) ledger = ngc.FlowLedger(g, residual) - e = elig(g) if elig is not None else None + e = eligibility(g) if eligibility is not None else None return g, ledger, ngc.FlowPolicy(ledger, sources, dests, config, e) @@ -99,107 +108,67 @@ def fresh(edges, sources, dests, config, elig=None, residual=None): def test_defaults_resolve(): - # The defaults are None on the value and resolve at the policy. - c = ngc.FlowPolicyConfig(routing=ngc.CostOnly(), placement=P.EQUAL_BALANCED) - assert (c.origin, c.admission, c.selection) == (None, A.LOSSLESS, None) + # ShortestPaths' source allocation is None on the value and resolves at the policy; + # CentralizedTE states its own; Pinned has none (its program has the injection). + c = ngc.FlowPolicyConfig(routing=ngc.ShortestPaths()) + assert (c.routing.source_allocation, c.admission) == (None, A.LOSSLESS) g = graph(B1) p = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, c) - assert (p.config.origin, p.config.selection) == (ORIGIN.EQUAL, ngc.PathSelection()) - for cfg in (cost_only(P.MAX_FLOW), glob()): + assert p.config.routing.source_allocation == ORIGIN.EQUAL + assert p.config.routing.tie_break == ngc.RouteTieBreak.FEWER_HOPS + for cfg in (cost_only(P.OPTIMIZED), glob()): assert ( - ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, cfg).config.origin + ngc.FlowPolicy( + ngc.FlowLedger(g), [0, 1], 3, cfg + ).config.routing.source_allocation == ORIGIN.OPTIMIZED ) - for cfg in (cost_only(P.MAX_FLOW, origin=ORIGIN.EQUAL), glob(ORIGIN.EQUAL)): + for cfg in ( + cost_only(P.OPTIMIZED, source_allocation=ORIGIN.EQUAL), + glob(ORIGIN.EQUAL), + ): assert ( - ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, cfg).config.origin + ngc.FlowPolicy( + ngc.FlowLedger(g), [0, 1], 3, cfg + ).config.routing.source_allocation == ORIGIN.EQUAL ) - assert ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, glob()).config.selection is None pinned = pinned_route(g, 0, 3, [0]) - assert ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, pinned).config.origin is None + routing = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, pinned).config.routing + assert not hasattr(routing, "source_allocation") def test_conversion_errors(): - # Conversion first: positional arguments, an unknown keyword, a string origin. + # Conversion first: positional arguments, an unknown keyword, a string source allocation. with pytest.raises(TypeError): - ngc.FlowPolicyConfig(ngc.CostOnly(), P.EQUAL_BALANCED) + ngc.FlowPolicyConfig(ngc.ShortestPaths(), A.LOSSLESS) with pytest.raises(TypeError): - ngc.FlowPolicyConfig(routing=ngc.CostOnly(), bundles=None) + ngc.FlowPolicyConfig(routing=ngc.ShortestPaths(), bundles=None) with pytest.raises(TypeError): - ngc.FlowPolicyConfig(routing=ngc.Global(), origin="EQUAL") + ngc.CentralizedTE(source_allocation="EQUAL") + with pytest.raises(TypeError): + ngc.ShortestPaths(source_allocation="EQUAL") -def test_path_selection_defaults(): - # multipath None is the model's natural shape (contract 3.3). - assert ngc.PathSelection() == ngc.PathSelection( - ngc.EdgeTieBreak.DETERMINISTIC, ngc.EdgePriority.CAPACITY, None, True - ) +SOURCE_RULE = "ShortestPaths with EQUAL or WEIGHTED requires source_allocation=EQUAL" +CTE_LOSSY = "CentralizedTE without tunnel_count requires admission=LOSSLESS" @pytest.mark.parametrize( ("config", "message"), [ - (ngc.FlowPolicyConfig(routing=ngc.CostOnly()), "CostOnly requires placement"), + (cost_only(P.EQUAL, source_allocation=ORIGIN.OPTIMIZED), SOURCE_RULE), + (cost_only(P.WEIGHTED, source_allocation=ORIGIN.OPTIMIZED), SOURCE_RULE), ( - ngc.FlowPolicyConfig(routing=ngc.Global(), placement=P.MAX_FLOW), - "Global does not accept placement", + cost_only(P.OPTIMIZED, A.LOSSY), + "ShortestPaths OPTIMIZED requires admission=LOSSLESS", ), + (glob(admission=A.LOSSY), CTE_LOSSY), + (glob(ORIGIN.EQUAL, A.LOSSY), CTE_LOSSY), + # The source rule before the pooled single-path rule. ( - ngc.FlowPolicyConfig(routing=ngc.Global(), selection=ngc.PathSelection()), - "Global does not accept selection", - ), - ( - cost_only(P.EQUAL_BALANCED, origin=ORIGIN.OPTIMIZED), - "CostOnly with EQUAL_BALANCED or WEIGHTED requires origin=EQUAL", - ), - ( - cost_only(P.WEIGHTED, origin=ORIGIN.OPTIMIZED), - "CostOnly with EQUAL_BALANCED or WEIGHTED requires origin=EQUAL", - ), - (cost_only(P.MAX_FLOW, A.LOSSY), "MAX_FLOW requires admission=LOSSLESS"), - ( - ngc.FlowPolicyConfig(routing=ngc.Global(), admission=A.LOSSY), - "MAX_FLOW requires admission=LOSSLESS", - ), - ( - ngc.FlowPolicyConfig( - routing=ngc.CapacityAware(ngc.Tunnels(1)), origin=ORIGIN.OPTIMIZED - ), - "T1 requires origin=EQUAL", - ), - ( - ngc.FlowPolicyConfig( - routing=ngc.CapacityAware(ngc.Tunnels(1)), placement=P.MAX_FLOW - ), - "T1 does not accept placement", - ), - # The row, then the columns placement, origin, admission, selection; - # Global rejects any selection before its row. - ( - ngc.FlowPolicyConfig( - routing=ngc.Global(), - placement=P.MAX_FLOW, - admission=A.LOSSY, - selection=ngc.PathSelection(), - ), - "Global does not accept selection", - ), - ( - ngc.FlowPolicyConfig( - routing=ngc.Global(), placement=P.MAX_FLOW, admission=A.LOSSY - ), - "Global does not accept placement", - ), - ( - ngc.FlowPolicyConfig( - routing=ngc.Global(), origin=ORIGIN.EQUAL, admission=A.LOSSY - ), - "MAX_FLOW requires admission=LOSSLESS", - ), - ( - cost_only(P.EQUAL_BALANCED, selection=PREFER_PATH, origin=ORIGIN.OPTIMIZED), - "CostOnly with EQUAL_BALANCED or WEIGHTED requires origin=EQUAL", + cost_only(P.EQUAL, routing=PREFER_PATH, source_allocation=ORIGIN.OPTIMIZED), + SOURCE_RULE, ), ], ) @@ -208,50 +177,48 @@ def test_matrix_texts(config, message): with pytest.raises(ValueError, match=exact(message)): ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, config) with pytest.raises(ValueError, match=exact(message)): - ngc.capacity(g, [0, 1], 3, ngc.QueryOptions(config)) + ngc.evaluate_demand(g, [0, 1], 3, ngc.EvaluationOptions(config)) def test_pinned_rows(): - # Pinned: no placement and no origin (its program has the injection). + # Pinned has no allocation and no source allocation (its program has the injection), and + # FlowPolicyConfig has neither field. g = graph(B1) - for config, message in ( - ( - pinned_route(g, 0, 3, [0], origin=ORIGIN.EQUAL), - "Pinned does not accept origin", - ), - ( - ngc.FlowPolicyConfig( - routing=pinned_route(g, 0, 3, [0]).routing, placement=P.MAX_FLOW - ), - "Pinned does not accept placement", - ), + program = pinned_route(g, 0, 3, [0]).routing.program + for kw in ( + {"source_allocation": ORIGIN.EQUAL}, + {"origin": ORIGIN.EQUAL}, + {"allocation": P.OPTIMIZED}, + {"placement": P.OPTIMIZED}, ): - with pytest.raises(ValueError, match=exact(message)): - ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, config) + with pytest.raises(TypeError): + ngc.Pinned(program, **kw) + with pytest.raises(TypeError): + ngc.FlowPolicyConfig(routing=ngc.Pinned(program), **kw) def test_cache_rule(): - # Only CostOnly reads a DagCache; the table comes first. + # Only ShortestPaths reads a ShortestPathCache; the table comes first. g = graph(B1) - cache = ngc.DagCache(g) + cache = ngc.ShortestPathCache(g) pinned = pinned_route(g, 0, 3, [0]) - capacity_aware = ngc.FlowPolicyConfig(routing=ngc.CapacityAware(ngc.Tunnels(1))) + capacity_aware = ngc.FlowPolicyConfig(routing=ngc.DistributedTE(ngc.TunnelCount(1))) for config, sources, message in ( - (glob(), [0, 1], "Global does not use DagCache"), - (capacity_aware, [0, 1], "T1 does not use DagCache"), - (pinned, 0, "Pinned does not use DagCache"), - ( - ngc.FlowPolicyConfig(routing=ngc.Global(), placement=P.MAX_FLOW), - [0, 1], - "Global does not accept placement", - ), + (glob(), [0, 1], "CentralizedTE does not use ShortestPathCache"), + (capacity_aware, [0, 1], "DistributedTE does not use ShortestPathCache"), + (pinned, 0, "Pinned does not use ShortestPathCache"), + (glob(admission=A.LOSSY), [0, 1], CTE_LOSSY), ): with pytest.raises(ValueError, match=exact(message)): ngc.FlowPolicy(ngc.FlowLedger(g), sources, 3, config, None, cache) with pytest.raises(ValueError, match=exact(message)): - ngc.capacity(g, sources, 3, ngc.QueryOptions(config, cache=cache)) + ngc.evaluate_demand( + g, sources, 3, ngc.EvaluationOptions(config, cache=cache) + ) with pytest.raises(ValueError, match=exact(message)): - ngc.sensitivity(g, sources, 3, ngc.QueryOptions(config, cache=cache)) + ngc.evaluate_edge_failures( + g, sources, 3, ngc.EvaluationOptions(config, cache=cache) + ) assert cache.stats().misses == 0 and cache.stats().hits == 0 @@ -281,7 +248,7 @@ def test_amount_texts(): ): p.place(finite) p.remove() - assert p.place(1).placed == 1 + assert p.place(1).call_delivered == 1 # -- the pooled single-path rule ------------------------------------------------------------- @@ -289,27 +256,40 @@ def test_amount_texts(): def test_pooled_single_path_rule(): g = graph(POOL) - for placement in (P.EQUAL_BALANCED, P.WEIGHTED, P.MAX_FLOW): - config = cost_only(placement, selection=PREFER_PATH) + for placement in (P.EQUAL, P.WEIGHTED, P.OPTIMIZED): + config = cost_only(placement, routing=PREFER_PATH) # Two input sources, also when the mask leaves one. - for elig in (None, g.eligibility(excluded_nodes=[1])): + for eligibility in (None, g.eligibility(excluded_nodes=[1])): with pytest.raises(ValueError, match=exact(POOLED_PHP)): - ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, config, elig) + ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, config, eligibility) with pytest.raises(ValueError, match=exact(POOLED_PHP)): - ngc.capacity(g, [0, 1], 3, ngc.QueryOptions(config, elig=elig)) + ngc.evaluate_demand( + g, [0, 1], 3, ngc.EvaluationOptions(config, eligibility=eligibility) + ) # One source; multipath. - assert ngc.FlowPolicy(ngc.FlowLedger(g), [0, 0], 3, config).place(1).placed == 1 + assert ( + ngc.FlowPolicy(ngc.FlowLedger(g), [0, 0], 3, config).place(1).call_delivered + == 1 + ) + # Multipath with a HIGHER_* tie_break (one member of each parallel pair: the equal + # pair 2 -> 3 keeps its lower EdgeId, capacity 1) is accepted with two sources. multipath = cost_only( - placement, selection=sel(tie=ngc.EdgeTieBreak.PREFER_HIGHER_PRIORITY) + placement, + routing=ngc.ShortestPaths(tie_break=HIGHER_CAP, parallel_edges=False), ) assert ( - ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, multipath).place(2).placed == 2 + ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, multipath) + .place(2) + .call_delivered + == 1 ) - # batch_capacity checks each pair; pair 1 is the lowest failing. - opts = ngc.QueryOptions(cost_only(selection=PREFER_PATH)) + # evaluate_pairs checks each pair; pair 1 is the lowest failing. + opts = ngc.EvaluationOptions(cost_only(routing=PREFER_PATH)) with pytest.raises(ValueError, match=exact(POOLED_PHP)): - ngc.batch_capacity(g, [([0], 3), ([0, 1], 3)], opts) - assert [r.placed for r in ngc.batch_capacity(g, [([0], 3), ([1], 3)], opts)] == [ + ngc.evaluate_pairs(g, [([0], 3), ([0, 1], 3)], opts) + assert [ + r.call_delivered for r in ngc.evaluate_pairs(g, [([0], 3), ([1], 3)], opts) + ] == [ 1, 1, ] @@ -317,23 +297,23 @@ def test_pooled_single_path_rule(): def test_deterministic_single_paths_pool(): # Canonical paths 0: [e0, e2], 1: [e1, e2] (equal cost and hops, lower EdgeId e2). - det = sel(mp=False) - _, _, p = fresh(POOL, [0, 1], 3, cost_only(selection=det)) + det = ngc.ShortestPaths(multipath=False) + _, _, p = fresh(POOL, [0, 1], 3, cost_only(routing=det)) r = p.place(INF) - assert (r.placed, [x.admitted for x in r.by_source]) == (1, [1, 0]) + assert (r.call_delivered, [x.admitted for x in r.by_source]) == (1, [1, 0]) # Lossy 2: e2's arrivals (1, 1), carried H(1, [1, 1]) = [1, 0]. - _, _, p = fresh(POOL, [0, 1], 3, cost_only(admission=A.LOSSY, selection=det)) + _, _, p = fresh(POOL, [0, 1], 3, cost_only(admission=A.LOSSY, routing=det)) r = p.place(2) - assert (r.placed, r.call_drops) == (1, [(2, 1)]) + assert (r.call_delivered, r.call_edge_drops) == (1, [(2, 1)]) assert rows(r) == [(0, 1, 1, 1, 0, 0), (1, 1, 1, 0, 0, 1)] - assert [list(rec.bundle.via_edges()) for rec in p.records()] == [[0, 2], [1, 2]] + assert [list(rec.route.via_edges()) for rec in p.records()] == [[0, 2], [1, 2]] # -- the controllers -------------------------------------------------------------------------- @pytest.mark.parametrize( - ("edges", "sources", "dest", "origin", "placed", "cost", "flows"), + ("edges", "sources", "dest", "source_allocation", "delivered", "cost", "flows"), [ (B1, [0, 1], 3, ORIGIN.EQUAL, 4, 8, [2, 2, 2]), # B1, equal (B1, [0, 1], 3, ORIGIN.OPTIMIZED, 12, 32, [2, 10, 10]), # B1, optimized @@ -371,18 +351,24 @@ def test_deterministic_single_paths_pool(): (ES, 0, 3, ORIGIN.OPTIMIZED, 12, 34, [2, 10, 2, 10]), # a support ], ) -def test_global_examples(edges, sources, dest, origin, placed, cost, flows): +def test_global_examples( + edges, sources, dest, source_allocation, delivered, cost, flows +): request = 10 if edges in (B3Z, B3P) else 12 - _, _, p = fresh(edges, sources, dest, glob(origin)) + _, _, p = fresh(edges, sources, dest, glob(source_allocation)) r = p.place(request, ngc.OutputOptions(edge_flows=True)) - term = T.COMPLETE if placed == request else T.EXHAUSTED - assert (r.placed, r.remaining, r.termination) == (placed, request - placed, term) + term = T.COMPLETE if delivered == request else T.EXHAUSTED + assert (r.call_delivered, r.call_undelivered, r.termination) == ( + delivered, + request - delivered, + term, + ) assert (r.total_cost, r.edge_flows.tolist()) == (cost, flows) - if origin == ORIGIN.EQUAL: - assert r.cost_distribution is None - assert [x.admitted for x in r.by_source] == rr(placed, len(r.by_source)) + if source_allocation == ORIGIN.EQUAL: + assert r.marginal_cost_curve is None + assert [x.admitted for x in r.by_source] == rr(delivered, len(r.by_source)) else: - assert sum(u for _, u in r.cost_distribution) == placed + assert sum(u for _, u in r.marginal_cost_curve) == delivered def test_global_records_and_masks(): @@ -391,7 +377,7 @@ def test_global_records_and_masks(): assert rows(p.place(12)) == [(0, None, 2, 2, 0, 0), (1, None, 2, 2, 0, 0)] _, _, p = fresh(B2, [0, 1], 2, glob(ORIGIN.EQUAL)) p.place(12) - assert [(rec.edges, rec.delivered) for rec in p.records()] == [ + assert [(rec.edge_flows, rec.delivered) for rec in p.records()] == [ ([(0, 4), (1, 2), (2, 4)], 6), ([(2, 6)], 6), ] @@ -399,7 +385,7 @@ def test_global_records_and_masks(): _, _, p = fresh( B3Z, [0, 1], 2, glob(ORIGIN.EQUAL), lambda g: g.eligibility(excluded_nodes=[0]) ) - assert p.place(10).placed == 10 + assert p.place(10).call_delivered == 10 # The optimum on the residual. _, _, p = fresh(WIT, 0, 2, glob()) r = p.place(1, ngc.OutputOptions(edge_flows=True)) @@ -407,12 +393,12 @@ def test_global_records_and_masks(): def test_global_increments(): - # Lossless with the equal origin: 3 (RR(3) = (2, 1) fits), then the target 6 admits 4 (RR(5) puts + # Lossless with the equal source allocation: 3 (RR(3) = (2, 1) fits), then the target 6 admits 4 (RR(5) puts # 3 on e0 of 2): allocation (2, 2), cost 2 * 9 + 2 * 1. _, _, p = fresh(R4, [0, 1], 2, glob(ORIGIN.EQUAL)) a = p.place(3) b = p.place(3, ngc.OutputOptions(edge_flows=True)) - assert (a.placed, a.termination, b.placed, b.termination) == ( + assert (a.call_delivered, a.termination, b.call_delivered, b.termination) == ( 3, T.COMPLETE, 1, @@ -430,10 +416,10 @@ def test_global_increments(): other = ngc.FlowPolicy(ledger, 0, 1, cost_only()) other.place(8) p = ngc.FlowPolicy(ledger, 0, 1, glob()) - assert p.place(5).placed == 2 + assert p.place(5).call_delivered == 2 other.remove() other.place(5) - assert p.place(1).placed == 1 + assert p.place(1).call_delivered == 1 # Equal increments end where one call does (the final total solved from zero). _, _, one = fresh(B2, [0, 1], 2, glob(ORIGIN.EQUAL)) whole = one.place(12, ngc.OutputOptions(edge_flows=True)) @@ -442,13 +428,13 @@ def test_global_increments(): split = two.place(6, ngc.OutputOptions(edge_flows=True)) assert split.edge_flows.tolist() == whole.edge_flows.tolist() assert split.total_cost == whole.total_cost - assert [(r.edges, r.delivered) for r in two.records()] == [ - (r.edges, r.delivered) for r in one.records() + assert [(r.edge_flows, r.delivered) for r in two.records()] == [ + (r.edge_flows, r.delivered) for r in one.records() ] @pytest.mark.parametrize( - ("edges", "sources", "dest", "origin", "placed", "cost", "records"), + ("edges", "sources", "dest", "source_allocation", "delivered", "cost", "records"), [ # One controller on the union of the sources' routes. (B1, [0, 1], 3, ORIGIN.OPTIMIZED, 12, 32, [[(0, 2)], [(1, 10), (2, 10)]]), @@ -461,20 +447,29 @@ def test_global_increments(): (SPF, 0, 1, ORIGIN.OPTIMIZED, 0, 0, [[]]), ], ) -def test_cost_only_max_flow(edges, sources, dest, origin, placed, cost, records): +def test_cost_only_max_flow( + edges, sources, dest, source_allocation, delivered, cost, records +): request = 5 if edges is SPF else 12 - _, _, p = fresh(edges, sources, dest, cost_only(P.MAX_FLOW, origin=origin)) + _, _, p = fresh( + edges, + sources, + dest, + cost_only(P.OPTIMIZED, source_allocation=source_allocation), + ) r = p.place(request, CUT) - term = T.COMPLETE if placed == request else T.EXHAUSTED - assert (r.placed, r.termination, r.total_cost) == (placed, term, cost) - assert [rec.edges for rec in p.records()] == records + term = T.COMPLETE if delivered == request else T.EXHAUSTED + assert (r.call_delivered, r.termination, r.total_cost) == (delivered, term, cost) + assert [rec.edge_flows for rec in p.records()] == records # No curve and no cut. - assert (r.cost_distribution, r.min_cut) == (None, None) + assert (r.marginal_cost_curve, r.min_cut) == (None, None) def test_cost_only_max_flow_increments(): - _, _, p = fresh(R4, [0, 1], 2, cost_only(P.MAX_FLOW, origin=ORIGIN.EQUAL)) - assert [p.place(3).placed, p.place(3).placed] == [3, 1] + _, _, p = fresh( + R4, [0, 1], 2, cost_only(P.OPTIMIZED, source_allocation=ORIGIN.EQUAL) + ) + assert [p.place(3).call_delivered, p.place(3).call_delivered] == [3, 1] assert p.place(0).total_cost == 20 @@ -486,10 +481,12 @@ def test_min_cut_flag(): # A zero maximum over existing routes is EXHAUSTED; its cut is the zero edge. _, _, p = fresh(ZERO, 0, 1, glob()) r = p.place(5, CUT) - assert (r.placed, r.termination, r.min_cut) == (0, T.EXHAUSTED, [0]) - # Bottleneck alone, the equal origin, a request below the maximum, a zero call. + assert (r.call_delivered, r.termination, r.min_cut) == (0, T.EXHAUSTED, [0]) + # Bottleneck alone, the equal source allocation, a request below the maximum, a zero call. _, _, p = fresh(B1, [0, 1], 3, glob()) - assert p.place(INF, ngc.OutputOptions(bottleneck=True)).min_cut is None + assert ( + p.place(INF, ngc.OutputOptions(saturated_boundary_edges=True)).min_cut is None + ) _, _, p = fresh(B1, [0, 1], 3, glob(ORIGIN.EQUAL)) assert p.place(INF, CUT).min_cut is None _, _, p = fresh(B1, [0, 1], 3, glob()) @@ -498,7 +495,7 @@ def test_min_cut_flag(): # An empty roster. _, _, p = fresh([(1, 0, 5, 1)], 0, 1, glob()) r = p.place(5, CUT) - assert (r.termination, r.min_cut, r.cost_distribution, r.total_cost) == ( + assert (r.termination, r.min_cut, r.marginal_cost_curve, r.total_cost) == ( T.NO_ROUTE, [], [], @@ -530,20 +527,28 @@ def test_min_cut_flag(): ids=["product", "two-sources", "carry"], ) def test_total_cost_beyond_64_bits(edges, sources, dest, optimized, equal): - # The controllers' total_cost is exact beyond 64 bits, under both origins, through place, - # capacity and batch_capacity with workers. + # The controllers' total_cost is exact beyond 64 bits, under both source allocations, through place, + # capacity and evaluate_pairs with workers. g = graph(edges) - for origin, want in ((ORIGIN.OPTIMIZED, optimized), (ORIGIN.EQUAL, equal)): + for source_allocation, want in ( + (ORIGIN.OPTIMIZED, optimized), + (ORIGIN.EQUAL, equal), + ): assert want >= 2**64 - for config in (glob(origin), cost_only(P.MAX_FLOW, origin=origin)): + for config in ( + glob(source_allocation), + cost_only(P.OPTIMIZED, source_allocation=source_allocation), + ): p = ngc.FlowPolicy(ngc.FlowLedger(g), sources, dest, config) assert p.place(INF).total_cost == want assert ( - ngc.capacity(g, sources, dest, ngc.QueryOptions(config)).total_cost + ngc.evaluate_demand( + g, sources, dest, ngc.EvaluationOptions(config) + ).total_cost == want ) - batch = ngc.batch_capacity( - g, [(sources, dest)] * 2, ngc.QueryOptions(config), workers=2 + batch = ngc.evaluate_pairs( + g, [(sources, dest)] * 2, ngc.EvaluationOptions(config), workers=2 ) assert [r.total_cost for r in batch] == [want, want] @@ -558,15 +563,20 @@ def test_zero_unprepared(routing): g, ledger, p = fresh(PAR, 0, 1, config, residual=[4, 6]) def unprepared(r): - assert (r.placed, r.remaining, r.delivery_delta, r.termination) == ( + assert ( + r.call_delivered, + r.call_undelivered, + r.delivery_delta, + r.termination, + ) == ( 0, 0, 0, T.COMPLETE, ) assert ( - r.call_drops, - r.call_source_loss, + r.call_edge_drops, + r.call_source_drops, r.routes_changed, r.weights_changed, ) == ( @@ -576,7 +586,7 @@ def unprepared(r): False, ) assert (r.edge_flows.tolist(), r.residual.tolist()) == ([0, 0], [4, 6]) - assert (r.min_cut, r.cost_distribution, r.requested) == (None, None, 0) + assert (r.min_cut, r.marginal_cost_curve, r.requested) == (None, None, 0) assert rows(r) == [(0, None, 0, 0, 0, 0)] assert r.total_cost == (0 if routing == "global" else None) assert p.records() == [] @@ -584,15 +594,20 @@ def unprepared(r): unprepared(p.place(0, ALL)) p.place(3) r = p.place(0, ALL) - assert (r.placed, r.routes_changed, r.delivered, r.requested) == (0, False, 3, 3) + assert (r.call_delivered, r.routes_changed, r.delivered, r.requested) == ( + 0, + False, + 3, + 3, + ) if routing == "global": - assert r.cost_distribution == [(1, 3)] and r.min_cut is None + assert r.marginal_cost_curve == [(1, 3)] and r.min_cut is None p.remove() unprepared(p.place(0, ALL)) def test_result_accounting(): - # B1, equal origin, Lossless. + # B1, equal source allocation, Lossless. _, _, p = fresh(B1, [0, 1], 3, glob(ORIGIN.EQUAL)) r = p.place(12) assert (r.requested, r.offered, r.admitted, r.delivered, r.unadmitted) == ( @@ -603,10 +618,10 @@ def test_result_accounting(): 8, ) assert ( - r.source_loss, - r.drops, - r.call_drops, - r.call_source_loss, + r.source_drops, + r.edge_drops, + r.call_edge_drops, + r.call_source_drops, r.delivery_delta, ) == ( 0, @@ -631,33 +646,33 @@ def test_result_accounting(): ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, config).place(1).total_cost is None ) - t1 = ngc.FlowPolicyConfig(routing=ngc.CapacityAware(ngc.Tunnels(1))) + t1 = ngc.FlowPolicyConfig(routing=ngc.DistributedTE(ngc.TunnelCount(1))) assert ( ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, t1).replace(1).total_cost is None ) pinned = pinned_route(g, 0, 3, [0]) assert ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, pinned).place(1).total_cost is None - support = ngc.FlowPolicyConfig(routing=ngc.Global(support=dag_of(g, [0]))) + support = glob(support=dag_of(g, [0])) assert ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, support).place(1).total_cost == 1 def test_pinned_in_the_new_shape(): # Weighted over the zero edge has no member: its offer is lost at the source. g = graph(ZERO) - for placement, want in ( + for allocation, want in ( (P.WEIGHTED, (0, T.NO_ACTIVE_WEIGHT, 2, [], (0, 2, 2, 0, 2, 0))), - (P.EQUAL_BALANCED, (0, T.COMPLETE, 0, [(0, 2)], (0, 2, 2, 0, 0, 2))), + (P.EQUAL, (0, T.COMPLETE, 0, [(0, 2)], (0, 2, 2, 0, 0, 2))), ): - config = pinned_route(g, 0, 1, [0], placement=placement, admission=A.LOSSY) + config = pinned_route(g, 0, 1, [0], allocation=allocation, admission=A.LOSSY) r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, config).place(2) assert ( - r.placed, + r.call_delivered, r.termination, - r.call_source_loss, - r.call_drops, + r.call_source_drops, + r.call_edge_drops, rows(r)[0], ) == want - assert (r.offered, r.source_loss) == (2, want[2]) + assert (r.offered, r.source_drops) == (2, want[2]) def test_terminations(): @@ -666,24 +681,24 @@ def test_terminations(): _, _, p = fresh([(1, 0, 5, 1)], 0, 1, config) assert p.place(0).termination == T.COMPLETE r = p.place(5) - assert (r.placed, r.termination) == (0, T.NO_ROUTE) + assert (r.call_delivered, r.termination) == (0, T.NO_ROUTE) if config.admission == A.LOSSY: # Nothing enters: the offer is all source loss and the row stays zero. - assert (r.offered, r.source_loss, r.call_source_loss) == (5, 5, 5) + assert (r.offered, r.source_drops, r.call_source_drops) == (5, 5, 5) assert rows(r) == [(0, 0, 0, 0, 0, 0)] else: assert (r.offered, r.unadmitted) == (None, 5) # Weighted splitting over the zero edge: no positive weight. _, _, p = fresh(ZERO, 0, 1, cost_only(P.WEIGHTED, A.LOSSY)) r = p.place(2) - assert (r.termination, r.call_source_loss, r.offered) == (T.NO_ACTIVE_WEIGHT, 2, 2) + assert (r.termination, r.call_source_drops, r.offered) == (T.NO_ACTIVE_WEIGHT, 2, 2) _, _, p = fresh(ZERO, 0, 1, cost_only(P.WEIGHTED)) r = p.place(2) assert (r.termination, r.unadmitted) == (T.NO_ACTIVE_WEIGHT, 2) # A controller at zero over existing routes. - for config in (glob(), cost_only(P.MAX_FLOW)): + for config in (glob(), cost_only(P.OPTIMIZED)): _, _, p = fresh( - SPF if config.routing.__class__ is ngc.CostOnly else ZERO, 0, 1, config + SPF if config.routing.__class__ is ngc.ShortestPaths else ZERO, 0, 1, config ) assert p.place(5).termination == T.EXHAUSTED @@ -694,10 +709,9 @@ def test_result_objects(): assert isinstance(r.by_source, tuple) and all( isinstance(x, ngc.SourceFlow) for x in r.by_source ) - assert (r.requested, r.remaining) == (INF, INF) + assert (r.requested, r.call_undelivered) == (INF, INF) assert isinstance(r.requested, float) - with pytest.raises(AttributeError): - r.by_source[0].admitted = 1 + assert_read_only(r.by_source[0], "admitted") with pytest.raises(TypeError): ngc.SourceFlow() assert "SourceFlow(source=0" in repr(r.by_source[0]) @@ -708,19 +722,27 @@ def test_result_objects(): def test_evaluators(): g = graph(B1) - for config, placed in ( + for config, delivered in ( (glob(ORIGIN.EQUAL), 4), (glob(), 12), - (cost_only(P.MAX_FLOW), 12), - (cost_only(P.MAX_FLOW, origin=ORIGIN.EQUAL), 4), + (cost_only(P.OPTIMIZED), 12), + (cost_only(P.OPTIMIZED, source_allocation=ORIGIN.EQUAL), 4), (cost_only(), 4), ): - assert ngc.capacity(g, [0, 1], 3, ngc.QueryOptions(config)).placed == placed + assert ( + ngc.evaluate_demand( + g, [0, 1], 3, ngc.EvaluationOptions(config) + ).call_delivered + == delivered + ) assert ( - ngc.capacity(graph(POOL), [0, 1], 3, ngc.QueryOptions(cost_only())).placed == 2 + ngc.evaluate_demand( + graph(POOL), [0, 1], 3, ngc.EvaluationOptions(cost_only()) + ).call_delivered + == 2 ) - r = ngc.capacity( - graph(PRIV), [0, 1], 2, ngc.QueryOptions(cost_only(admission=A.LOSSY)) + r = ngc.evaluate_demand( + graph(PRIV), [0, 1], 2, ngc.EvaluationOptions(cost_only(admission=A.LOSSY)) ) assert (r.delivered, r.offered, r.requested, r.termination) == ( 10, @@ -729,21 +751,27 @@ def test_evaluators(): T.EXHAUSTED, ) pairs = [([0, 1], 3), (0, 3), (1, 3)] - got = ngc.batch_capacity(g, pairs, ngc.QueryOptions(glob(ORIGIN.EQUAL))) - assert [x.placed for x in got] == [4, 2, 10] + got = ngc.evaluate_pairs(g, pairs, ngc.EvaluationOptions(glob(ORIGIN.EQUAL))) + assert [x.call_delivered for x in got] == [4, 2, 10] # Deleting the zero-capacity edge e0 takes source 0 out of the roster: every allowed edge is a - # candidate under the equal origin. + # candidate under the equal source allocation. for workers in (1, 2): - s = ngc.sensitivity( - graph(B3Z), [0, 1], 2, ngc.QueryOptions(glob(ORIGIN.EQUAL)), workers + s = ngc.evaluate_edge_failures( + graph(B3Z), [0, 1], 2, ngc.EvaluationOptions(glob(ORIGIN.EQUAL)), workers ) - assert (s.baseline.placed, [(e.edge, e.loss) for e in s.entries]) == ( + assert ( + s.baseline.call_delivered, + [(e.edge, e.delivery_reduction) for e in s.entries], + ) == ( 0, [(0, -10), (1, 0)], ) - # Pooled CostOnly: deleting e0 takes source 0 out of the roster. - s = ngc.sensitivity(g, [0, 1], 3, ngc.QueryOptions(cost_only())) - assert (s.baseline.placed, [(e.edge, e.loss) for e in s.entries]) == ( + # Pooled ShortestPaths: deleting e0 takes source 0 out of the roster. + s = ngc.evaluate_edge_failures(g, [0, 1], 3, ngc.EvaluationOptions(cost_only())) + assert ( + s.baseline.call_delivered, + [(e.edge, e.delivery_reduction) for e in s.entries], + ) == ( 4, [(0, -6), (1, 2), (2, 2)], ) @@ -772,7 +800,7 @@ def random_controller_case(rng): @pytest.mark.parametrize("seed", range(300)) def test_controllers_random(seed): - # Global and CostOnly MAX_FLOW under both origins on random graphs with masks and + # CentralizedTE and ShortestPaths OPTIMIZED under both source allocations on random graphs with masks and # nonuniform costs: the delivery, the minimum cost and (equal) the supplies RR(T) equal the # references; increments re-solve the admitted total plus the request. rng = random.Random(seed) @@ -785,14 +813,16 @@ def test_controllers_random(seed): if v not in sources and v not in dests and rng.random() < 0.15 ] xe = [e for e in range(m) if rng.random() < 0.1] - elig = g.eligibility(excluded_nodes=xn, excluded_edges=xe) - src = [int(x) for x in g.edge_src()] - dst = [int(x) for x in g.edge_dst()] - cost = [int(x) for x in g.cost()] - cap = [int(x) for x in g.capacity_units()] - node_ok = [v not in xn for v in range(n)] - edge_ok = [e not in xe and node_ok[src[e]] and node_ok[dst[e]] for e in range(m)] - dist = distances_to(n, src, dst, cost, set(dests), node_ok, edge_ok) + eligibility = g.eligibility(excluded_nodes=xn, excluded_edges=xe) + src = [int(x) for x in g.edge_sources()] + dst = [int(x) for x in g.edge_destinations()] + cost = [int(x) for x in g.edge_costs()] + cap = [int(x) for x in g.edge_capacity_units()] + node_allowed = [v not in xn for v in range(n)] + edge_allowed = [ + e not in xe and node_allowed[src[e]] and node_allowed[dst[e]] for e in range(m) + ] + dist = distances_to(n, src, dst, cost, set(dests), node_allowed, edge_allowed) roster = sorted(s for s in set(sources) if dist[s] is not None) ref = PooledReference( g, sources, dests, "EB", False, cap, excluded_nodes=xn, excluded_edges=xe @@ -803,28 +833,40 @@ def test_controllers_random(seed): for s in ref.roster: for e in ref.route[s]: support[e] = True - for routing, allowed in (("global", edge_ok), ("costonly", support)): - for origin in (ORIGIN.EQUAL, ORIGIN.OPTIMIZED): + for routing, allowed in (("global", edge_allowed), ("costonly", support)): + for source_allocation in (ORIGIN.EQUAL, ORIGIN.OPTIMIZED): config = ( - glob(origin) + glob(source_allocation) if routing == "global" - else cost_only(P.MAX_FLOW, origin=origin) + else cost_only(P.OPTIMIZED, source_allocation=source_allocation) + ) + oracle = ( + equal_source_allocation + if source_allocation == ORIGIN.EQUAL + else optimized_source_allocation ) - oracle = equal_origin if origin == ORIGIN.EQUAL else optimized_origin best, best_cost = oracle(g, roster, dests, cap, allowed) - r = ngc.capacity(g, sources, dests, ngc.QueryOptions(config, elig=elig)) - where = (seed, routing, origin.name) - assert (r.placed, r.total_cost) == (best, best_cost), where - if origin == ORIGIN.EQUAL: + r = ngc.evaluate_demand( + g, + sources, + dests, + ngc.EvaluationOptions(config, eligibility=eligibility), + ) + where = (seed, routing, source_allocation.name) + assert (r.call_delivered, r.total_cost) == (best, best_cost), where + if source_allocation == ORIGIN.EQUAL: admitted = {x.source: x.admitted for x in r.by_source} assert [admitted[s] for s in roster] == rr(best, len(roster)), where # Increments: a then b admit min(max, a) and then min(max, that + b). a, b = rng.randint(0, 6), rng.randint(0, 6) - p = ngc.FlowPolicy(ngc.FlowLedger(g), sources, dests, config, elig) + p = ngc.FlowPolicy(ngc.FlowLedger(g), sources, dests, config, eligibility) first = p.place(a) second = p.place(b) want_a = min(best, a) want_b = min(best, want_a + b) - assert (first.placed, second.placed) == (want_a, want_b - want_a), where + assert (first.call_delivered, second.call_delivered) == ( + want_a, + want_b - want_a, + ), where _, cost_b = oracle(g, roster, dests, cap, allowed, want_b) assert second.total_cost == cost_b, where diff --git a/tests/py/test_tunnel_oracle.py b/tests/py/test_tunnel_oracle.py index 60ad2c2..6b580a8 100644 --- a/tests/py/test_tunnel_oracle.py +++ b/tests/py/test_tunnel_oracle.py @@ -24,7 +24,7 @@ SHARED = [(0, 2, 6, 1), (1, 2, 6, 1), (2, 3, 6, 1)] # two heads sharing a link DIAM5 = [(0, 1, 6, 1), (0, 2, 6, 3), (1, 2, 4, 1), (1, 3, 6, 3), (2, 3, 6, 1)] REPLAY = [(0, 2, 10, 1), (0, 3, 10, 5), (1, 2, 10, 1), (3, 2, 10, 5)] -SX = [(0, 1, 0, 5), (0, 1, 1, 6)] # Stretch(1.2) just below the next path +SX = [(0, 1, 0, 5), (0, 1, 1, 6)] # CostStretch(6/5) admits the next path at equality def twoh(a, b): @@ -47,7 +47,7 @@ def requests(s): return [t.requested for t in s.tunnels] -# The requests RR(RR(D, H, h), N, j) in round order (6.2) +# The requests RR(RR(D, H, h), N, j) in round order def test_round_order_requests(): # RR(10, 2) = (5, 5), RR(5, 2) = (3, 2): round order 3, 3, 2, 2. assert requests(orc.setup(twoh(10, 10), [0, 1], [2], 10, 2)) == [3, 3, 2, 2] @@ -55,7 +55,7 @@ def test_round_order_requests(): assert requests(orc.setup(twoh(10, 10), [0, 1], [2], 5, 2)) == [2, 1, 1, 1] -# Every attempt on U minus this setup's earlier up tunnels (6.4) +# Every attempt on U minus this setup's earlier up tunnels def test_attempts_see_earlier_tunnels(): # Two heads sharing a link: the first tunnel of each head fills node 2's exit (6 of 3 + 3). assert statuses(orc.setup(SHARED, [0, 1], [3], 12, 2)) == [UP, UP, NB, NB] @@ -64,7 +64,7 @@ def test_attempts_see_earlier_tunnels(): assert statuses(orc.setup(LASTDOWN, [0], [1], 12, 4)) == [UP, UP, UP, NB] -# The filter U >= max(b, minimum) is inclusive (6.4) +# The filter U >= max(b, minimum) is inclusive def test_inclusive_filter(): # PAR612, D = 12, N = 4: two requests of 3 fill a link of 6. assert routes(orc.setup(PAR612, [0], [1], 12, 4)) == [[0], [0], [1], [1]] @@ -75,7 +75,7 @@ def test_inclusive_filter(): assert (routes(s), s.holds) == ([[0], [0]], [2, 0]) -# A request of 0 has no filter unless the minimum is positive (6.3) +# A request of 0 has no filter unless the minimum is positive def test_zero_requests(): # An idle tunnel on a zero-capacity link: request 1 on e1 (e0 has 0), request 0 over the # zero link e0 (cost 1). @@ -86,54 +86,58 @@ def test_zero_requests(): assert (routes(s), s.holds) == ([[1], [1]], [0, 1]) -# The filter first, then the collapse of parallel members (6.4) +# The filter first, then the collapse of parallel members def test_filter_before_collapse(): - sel = orc.Selection(multi_edge=False) + sel = orc.Selection(parallel_edges=False) # e0 (2 < 6) is filtered before the collapse would keep it (lowest EdgeId). assert routes(orc.setup(FILT, [0], [1], 6, 1, sel=sel)) == [[1]] - # The last tunnel without bandwidth with multi_edge False: as with True. + # The last tunnel without bandwidth with parallel_edges False: as with True. assert statuses(orc.setup(LASTDOWN, [0], [1], 12, 4, sel=sel)) == [UP, UP, UP, NB] -# The single-path order: cost, PHP bottleneck, hops, EdgeId sequence (3.3) +# The single-path order: cost, HIGHER_* bottleneck, hops, EdgeId sequence def test_single_path_order(): - # DETERMINISTIC: equal costs and hops: the smaller EdgeId, then e0 is filtered. + # FEWER_HOPS: equal costs and hops: the smaller EdgeId, then e0 is filtered. assert routes(orc.setup(PARX, [0], [1], 8, 2)) == [[0], [1]] # The diamond, design 8: the cheapest path 0-1-2-3 (cost 3, three hops) before the two-hop # paths of cost 4. assert routes(orc.setup(DIAM5, [0], [3], 8, 2)) == [[0, 2, 4], []] -# The priority view: RESIDUAL reads U, HEADROOM U / C, CAPACITY C (6.4) -def test_priority_view(): - # Unreserved [5, 8], service residual the capacities [10, 8]: RESIDUAL reads U: e1. - sel = orc.Selection(php=True, priority="RESIDUAL") +# The tie scores: HIGHER_AVAILABLE_CAPACITY reads U, HIGHER_HEADROOM U / C, HIGHER_CAPACITY C +def test_tie_score_view(): + # Unreserved [5, 8], service residual the capacities [10, 8]: HIGHER_AVAILABLE_CAPACITY reads + # U: e1. + sel = orc.Selection("HIGHER_AVAILABLE_CAPACITY") assert routes(orc.setup(PVIEW, [0], [1], 4, 1, sel=sel, unreserved=[5, 8])) == [[1]] - # PHP HEADROOM: 4/4 = 10/10, a tie: e0, then e0 is filtered: e1. - sel = orc.Selection(php=True, priority="HEADROOM") + # HIGHER_HEADROOM: 4/4 = 10/10, a tie: e0, then e0 is filtered: e1. + sel = orc.Selection("HIGHER_HEADROOM") assert routes(orc.setup(PARX, [0], [1], 8, 2, sel=sel)) == [[0], [1]] -# Absolute(c) is inclusive (6.4) +# AbsoluteCost(c) is inclusive def test_absolute_inclusive(): - # X8 with Absolute(3): head 1's path costs 3: up. + # X8 with AbsoluteCost(3): head 1's path costs 3: up. assert statuses(orc.setup(X8, [0, 1], [2], 4, 1, absolute=3)) == [NB, UP] - # Absolute(2): COST_CEILING. + # AbsoluteCost(2): COST_CEILING_EXCEEDED. assert statuses(orc.setup(X8, [0, 1], [2], 4, 1, absolute=2)) == [NB, CC] -# Stretch(f): the exact f times the pool minimum c0 (6.4) +# CostStretch(f): the exact f times the pool minimum c0 def test_stretch_pool_baseline(): - # X8 with Stretch(2): c0 = 1 (head 0's zero-capacity link), ceiling 2 < 3. + # X8 with CostStretch(2): c0 = 1 (head 0's zero-capacity link), ceiling 2 < 3. s = orc.setup(X8, [0, 1], [2], 4, 1, stretch=2.0) assert (s.c0, statuses(s)) == (1, [NB, CC]) - # Stretch(1.2) on SX: c0 = 5, the stored 1.2 times 5 is below 6. + # CostStretch(1.2) on SX: c0 = 5 and 1.2 is exactly 6/5 (the decimal it prints, not its binary + # value, which times 5 is below 6), so the cost-6 path is admitted at equality; 11/10 is not. s = orc.setup(SX, [0], [1], 1, 1, stretch=1.2) - assert Fraction(1.2) * 5 < 6 + assert Fraction(1.2) * 5 < 6 == Fraction("1.2") * 5 + assert (s.c0, statuses(s)) == (5, [UP]) + s = orc.setup(SX, [0], [1], 1, 1, stretch=Fraction(11, 10)) assert (s.c0, statuses(s)) == (5, [CC]) -# An up tunnel holds b on every link, a down one nothing (6.4) +# An up tunnel holds b on every link, a down one nothing def test_holds(): # The last tunnel without bandwidth: three up tunnels of 3 on e1, the fourth down. s = orc.setup(LASTDOWN, [0], [1], 12, 4) @@ -147,7 +151,7 @@ def test_holds(): ) -# Forwarding: RR over the heads, RR over a head's up tunnels, no renormalization (6.5) +# Forwarding: RR over the heads, RR over a head's up tunnels, no renormalization def test_forwarding(): # TWOH(2, 10), N = 2: head 0 has no up tunnel and loses its 6; head 1 delivers 6. g = twoh(2, 10) @@ -168,7 +172,7 @@ def test_forwarding(): ) -# Lossless admits only totals that give a head without an up tunnel nothing (3.4, 8.3) +# Lossless admits only totals that give a head without an up tunnel nothing def test_lossless_dead_head(): # TWOH(2, 10): head 0 is first and down: 0. g = twoh(2, 10) @@ -179,7 +183,7 @@ def test_lossless_dead_head(): assert orc.lossless_bound(X8, s.roster, s.tunnels, caps(X8)) == 0 -# The replay roster from the program's basis, not from surviving entries (8.4) +# The replay roster from the program's basis, not from surviving entries def test_replay_roster(): # REPLAY: head 0's tunnel e0 fails, head 0 still reaches 2 over e1, e3: it keeps 5 and # loses it; head 1 delivers its 5. @@ -191,7 +195,7 @@ def test_replay_roster(): REPLAY, roster, s.tunnels, 10, caps(REPLAY), alive ) assert (delivered, lost) == (5, 5) - # The 6.6 program with e1 masked: head 1 leaves, head 0 keeps the whole 12 and loses it; + # The TWOH call's program with e1 masked: head 1 leaves, head 0 keeps the whole 12 and loses it; # the program has up tunnels none can use: NO_ACTIVE_WEIGHT. g = twoh(2, 10) s = orc.setup(g, [0, 1], [2], 12, 2) @@ -202,13 +206,13 @@ def test_replay_roster(): assert orc.termination(12, roster, s.tunnels, alive, True, 0) == "NO_ACTIVE_WEIGHT" -# One record per entry, down and failed ones included (10.4) +# One record per entry, down and failed ones included def test_records_per_entry(): # DIAM5 at D = 14: both down, two zero records. s = orc.setup(DIAM5, [0], [3], 14, 2) assert statuses(s) == [NB, NB] assert orc.records(s.tunnels) == [(0, 0, []), (1, 0, [])] - # The 6.6 program: four records, the up tunnels holding 3 on e1. + # The TWOH call's program: four records, the up tunnels holding 3 on e1. s = orc.setup(twoh(2, 10), [0, 1], [2], 12, 2) assert orc.records(s.tunnels) == [ (0, 0, []), @@ -265,16 +269,16 @@ def x_of(plan, edges): return out -# Live heads reach a destination over links with V >= 1 (7.2) -def test_live_heads(): +# Live heads reach a destination over links with V >= 1 +def test_heads_with_capacity(): # A dead head: head 0's only link is 0: dead. assert orc.t2(twoh(0, 10), [0, 1], [2], 2, 10).live == [1] # A tiny head: links 1 and 100: both live (U = 0 does not make a head dead). assert orc.t2(twoh(1, 100), [0, 1], [2], 16).live == [0, 1] -# U, the largest integer size passing the quota flow of the live heads (7.2) -def test_common_share(): +# U, the largest integer size passing the quota flow of the live heads +def test_max_bandwidth_per_tunnel(): assert orc.t2(G1, [0], [3], 16, 49152, headroom=True).U == 2925 # G1, design 49152 assert orc.t2(twoh(3, 8), [0, 1], [2], 2, 6).U == 1 # Heads behind 3 and 8 # A dead head (U = 5 from head 1 alone): the two above have no dead head, which the @@ -282,21 +286,21 @@ def test_common_share(): assert orc.t2(twoh(0, 10), [0, 1], [2], 2, 10).U == 5 -# The fluid share s*, the exact breakpoint V[e] / j (7.2) -def test_fluid_share(): +# The fluid share s*, the exact breakpoint V[e] / j +def test_max_fractional_bandwidth_per_tunnel(): # G1, design 49152 assert orc.t2(G1, [0], [3], 16, 49152).fluid == Fraction(20480, 7) p = orc.t2(twoh(1, 100), [0, 1], [2], 16) # A tiny head assert (p.fluid, p.U, p.insufficient, p.tunnels) == (Fraction(1, 16), 0, True, []) -# The working size u from the design shares of the whole roster, dead heads included (7.2) +# The working size u from the design shares of the whole roster, dead heads included def test_working_size(): assert orc.t2(twoh(0, 10), [0, 1], [2], 2, 10).u == 3 # A dead head: ceil(5 / 2) assert orc.t2(G1, [0], [3], 16, 8192, headroom=True).u == 512 # G1 design 8192 -# The minimum route-cost sum J first (7.3) +# The minimum route-cost sum J first def test_route_cost(): # Both tunnels on a cheap link of 2 (u = 1), J = 2. p = orc.t2([(0, 1, 2, 1), (0, 1, 10, 2)], [0], [1], 2, 2, headroom=True) @@ -309,7 +313,7 @@ def test_route_cost(): assert (p.J, x_of(p, g4)[:3], x_of(p, g4)[15:18]) == (32, [2, 1, 1], [2, 1, 1]) -# The slot prices floor(2^32 (B - V + j u) / B) (7.3) +# The slot prices floor(2^32 (B - V + j u) / B) def test_headroom_prices(): # PAR412, N = 2, D = 2 (u = 1): both on the 12-link, 2^32 / 12 + 2^33 / 12 rounded down. p = orc.t2(PAR412, [0], [1], 2, 2, headroom=True) @@ -324,7 +328,7 @@ def test_headroom_prices(): assert (p.U, p.u, x_of(p, ONE10), p.phi) == (3, 2, [2], 6012954213) -# The canonical augmentation: fewest arcs, then the smallest keys, reverse arcs allowed (7.3) +# The canonical augmentation: fewest arcs, then the smallest keys, reverse arcs allowed def test_canonical_augmentation(): g4 = [(0, i, 4096, 1) for i in range(1, 16)] + [ (i, 16, 4096, 1) for i in range(1, 16) @@ -344,7 +348,7 @@ def test_canonical_augmentation(): ) -# The root keys (1, head NodeId, direction): on a tie at the root the smaller head goes first (7.3) +# The root keys (1, head NodeId, direction): on a tie at the root the smaller head goes first def test_root_key_tie(): # Capacities and costs 1, N = 1: every first walk costs 2 with four arcs and every slot pays # 2^32. Head 0 goes first and takes e0 e4 (its smaller link key); head 1 then takes e3 e6 (four @@ -358,7 +362,7 @@ def test_root_key_tie(): assert [(t.head, t.path) for t in p.tunnels] == [(0, [0, 4]), (1, [3, 5])] -# Fewest arcs before the keys (7.3) +# Fewest arcs before the keys def test_fewest_arcs_before_keys(): # e1 (cost 2, one link) ties e0 e2 (1 + 1); three arcs beat four, the keys alone take e0 e2. assert [t.path for t in orc.t2(FEWEST_A, [0], [2], 1).tunnels] == [[1]] @@ -366,7 +370,7 @@ def test_fewest_arcs_before_keys(): assert [t.path for t in orc.t2(FEWEST_B, [0], [3], 1).tunnels] == [[1]] -# The cut into unit walks, sorted, indices j H + i with holes (7.3, 8.1) +# The cut into unit walks, sorted, indices j H + i with holes def test_program(): p = orc.t2(twoh(0, 10), [0, 1], [2], 2, 10) # A dead head assert [(t.index, t.head, t.path) for t in p.tunnels] == [(1, 1, [1]), (3, 1, [1])] @@ -393,8 +397,8 @@ def test_program(): assert [(t.head, t.path) for t in p.tunnels] == [(0, [0, 2, 4]), (1, [1, 3, 5])] -# F, the program's lossless bound, a dead head's share blocking (7.6, 8.3) -def test_forwarding_bound(): +# F, the program's lossless bound, a dead head's share blocking +def test_max_lossless_offer(): assert orc.t2(twoh(0, 10), [0, 1], [2], 2, 10).F == 0 # A dead head assert ( orc.t2([(0, 1, 3, 1), (0, 1, 2, 1)], [0], [1], 2, 5).F == 5 @@ -404,7 +408,7 @@ def test_forwarding_bound(): ) # The remainder on the second link -# Up to L: the smallest k reaching the live part of D, else the best score, smaller k (7.7) +# Up to L: the smallest k reaching the live part of D, else the best score, smaller k def test_up_to(): p = orc.t2(G1, [0], [3], 6, 49152, up_to=True, headroom=True) # G1 up to 6 assert (p.scores, p.count) == ([40960] * 5 + [49152], 6) @@ -416,7 +420,7 @@ def test_up_to(): assert (p.scores, p.count, p.F) == ([2**61, 2**61], 1, 0) -# No tunnels is an installed program keeping the roster (7.8) +# No tunnels is an installed program keeping the roster def test_no_tunnels_keep_roster(): # Forwarding without tunnels: a tiny head (U = 0) forwarding 10: 5 lost at each head, COMPLETE. p = orc.t2(twoh(1, 100), [0, 1], [2], 16, 200) @@ -435,7 +439,7 @@ def test_no_tunnels_keep_roster(): assert orc.termination(10, roster, p.tunnels, [], False, 0) == "EXHAUSTED" -# A dead head's T2 program replayed under masks (8.4) +# A dead head's T2 program replayed under masks def test_t2_replay_roster(): g = twoh(0, 10) p = orc.t2(g, [0, 1], [2], 2, 10) diff --git a/tests/py/test_zero_capacity.py b/tests/py/test_zero_capacity.py index 4044b54..5c258e5 100644 --- a/tests/py/test_zero_capacity.py +++ b/tests/py/test_zero_capacity.py @@ -1,31 +1,39 @@ -"""Edges of capacity 0 stay in routing, through the binding: the contract's examples of zero +"""Edges of capacity 0 stay in routing, through the binding: the worked examples of zero capacity (SPF and KSP over the zero edge and their residual forms, the search graph S under every model, a source behind a zero link, a zero first or last link of a Pinned split route, a link of -service 0, the zero-weight WCMP cases, T1's roster and its Stretch pool baseline) and the minimum +service 0, the zero-weight WCMP cases, T1's roster and its CostStretch pool baseline) and the minimum cut. The graphs list their rows in EdgeId order (asserted), so an EdgeId is the row's position. S: 0: 0 -> 1 cap 0, 1: 0 -> 2 cap 5, 2: 2 -> 1 cap 5 (costs 1).""" from __future__ import annotations import math +from fractions import Fraction import pytest -from helpers import COSTONLY, GLOBAL, PREFER, config, dag_of, sel, t1_config +from helpers import ( + COSTONLY, + GLOBAL, + HIGHER_CAP, + HIGHER_HEADROOM, + config, + dag_of, + t1_config, +) import netgraph_core as ngc -EB = ngc.FlowPlacement.EQUAL_BALANCED -W = ngc.FlowPlacement.WEIGHTED -MF = ngc.FlowPlacement.MAX_FLOW +EB = ngc.RouteAllocation.EQUAL +W = ngc.RouteAllocation.WEIGHTED +MF = ngc.RouteAllocation.OPTIMIZED LOSSY = ngc.Admission.LOSSY -HEAD = ngc.EdgePriority.HEADROOM FWD = ngc.Direction.FORWARD S = [(0, 1, 0, 1), (0, 2, 5, 1), (2, 1, 5, 1)] def graph(n, rows): g = ngc.Graph(n, *map(list, zip(*rows, strict=True)), 1.0) - assert [int(i) for i in g.input_index()] == list(range(len(rows))) + assert [int(i) for i in g.input_positions()] == list(range(len(rows))) return g @@ -37,87 +45,106 @@ def walks(result): return [(c, [hop[0] for hop in p.hops()]) for c, p in result] -def place(g, s, d, cfg, volume, elig=None): - policy = ngc.FlowPolicy(ngc.FlowLedger(g), s, d, cfg, elig) - return policy.place(volume), policy +def place(g, s, d, cfg, offer, eligibility=None): + policy = ngc.FlowPolicy(ngc.FlowLedger(g), s, d, cfg, eligibility) + return policy.place(offer), policy def test_spf_and_ksp_search_the_zero_edge(): g = graph(3, S) - r = ngc.spf(g, 0, ngc.SpfOptions(FWD, sel(), targets=1)) + r = ngc.spf(g, 0, ngc.SpfOptions(FWD, targets=1)) assert (r.target_cost, edges(r.dag)) == (1, [0]) # SPF over the zero edge - gated = ngc.spf(g, 0, ngc.SpfOptions(FWD, sel(), targets=1, residual=[0, 5, 5])) + gated = ngc.spf(g, 0, ngc.SpfOptions(FWD, targets=1, residual=[0, 5, 5])) assert (gated.target_cost, edges(gated.dag)) == (2, [1, 2]) - full = ngc.spf(g, 0, ngc.SpfOptions(FWD, sel())) + full = ngc.spf(g, 0, ngc.SpfOptions(FWD)) assert (full.costs.tolist(), edges(full.dag)) == ([0, 1, 1], [0, 1]) - assert walks(ngc.ksp(g, 0, 1, ngc.KspOptions(2, sel()))) == [(1, [0]), (2, [1, 2])] - opts = ngc.KspOptions(2, sel(), residual=[0, 5, 5]) + assert walks(ngc.ksp(g, 0, 1, ngc.KspOptions(2))) == [(1, [0]), (2, [1, 2])] + opts = ngc.KspOptions(2, residual=[0, 5, 5]) assert walks(ngc.ksp(g, 0, 1, opts)) == [(2, [1, 2])] - # Stretch(1.2): the static baseline 5 counts the zero-capacity edge; 1.2 * 5 < 6. + # CostStretch(1.2), exactly 6/5: the static baseline 5 counts the zero-capacity edge, and + # 6 * 5 <= 6 * 5 admits the cost-6 walk at equality; 11/10 does not. h = graph(2, [(0, 1, 0, 5), (0, 1, 1, 6)]) - ceiled = ngc.KspOptions(2, sel(), max_path_cost=ngc.Stretch(1.2)) - assert walks(ngc.ksp(h, 0, 1, ceiled)) == [(5, [0])] + ceiled = ngc.KspOptions(2, cost_ceiling=ngc.CostStretch(1.2)) + assert walks(ngc.ksp(h, 0, 1, ceiled)) == [(5, [0]), (6, [1])] + below = ngc.KspOptions(2, cost_ceiling=ngc.CostStretch(Fraction(11, 10))) + assert walks(ngc.ksp(h, 0, 1, below)) == [(5, [0])] def test_headroom_without_a_residual_reads_one_or_zero(): d = graph(4, [(0, 1, 1, 1), (0, 2, 5, 1), (1, 3, 1, 1), (2, 3, 5, 1)]) z = graph(4, [(0, 1, 0, 1), (0, 2, 5, 1), (1, 3, 5, 1), (2, 3, 5, 1)]) - def path(g, prio): - o = ngc.SpfOptions(FWD, sel(PREFER, prio, mp=False), targets=3) + def path(g, tie): + o = ngc.SpfOptions(FWD, tie_break=tie, multipath=False, targets=3) return edges(ngc.spf(g, 0, o).dag) - assert path(d, HEAD) == [ + assert path(d, HIGHER_HEADROOM) == [ 0, 2, ] # every positive edge reads 1: the EdgeId order decides - assert path(d, ngc.EdgePriority.CAPACITY) == [1, 3] - assert path(z, HEAD) == [1, 3] # 0 on the zero-capacity edge + assert path(d, HIGHER_CAP) == [1, 3] + assert path(z, HIGHER_HEADROOM) == [1, 3] # 0 on the zero-capacity edge def test_g8_for_every_model(): g = graph(3, S) r, p = place(g, 0, 1, COSTONLY, 5) - assert (r.placed, r.remaining, r.termination) == (0, 5, ngc.Termination.EXHAUSTED) + assert (r.call_delivered, r.call_undelivered, r.termination) == ( + 0, + 5, + ngc.Termination.EXHAUSTED, + ) [rec] = p.records() - assert (rec.delivered, edges(rec.bundle), rec.route_cost, rec.edges) == ( + assert (rec.delivered, edges(rec.route), rec.min_route_cost, rec.edge_flows) == ( 0, [0], 1, [], ) - r, p = place(g, 0, 1, config(ngc.CostOnly(), EB, LOSSY), 5) - assert (r.placed, r.drops, r.termination) == (0, [(0, 5)], ngc.Termination.COMPLETE) + r, p = place(g, 0, 1, config(ngc.ShortestPaths(), EB, LOSSY), 5) + assert (r.call_delivered, r.edge_drops, r.termination) == ( + 0, + [(0, 5)], + ngc.Termination.COMPLETE, + ) for admission in (ngc.Admission.LOSSLESS, LOSSY): - r, p = place(g, 0, 1, config(ngc.CostOnly(), W, admission), 5) - assert (r.placed, r.drops) == (0, []) # weight 0: no member, never a bypass - assert place(g, 0, 1, config(ngc.CostOnly(), MF), 5)[0].placed == 0 - assert place(g, 0, 1, GLOBAL, 5)[0].placed == 5 + r, p = place(g, 0, 1, config(ngc.ShortestPaths(), W, admission), 5) + assert (r.call_delivered, r.edge_drops) == ( + 0, + [], + ) # weight 0: no member, never a bypass + assert place(g, 0, 1, config(ngc.ShortestPaths(), MF), 5)[0].call_delivered == 0 + assert place(g, 0, 1, GLOBAL, 5)[0].call_delivered == 5 # T1: the request of 5 filters the zero link out; the tunnel comes up over 0 -> 2 -> 1. t1 = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, t1_config(1)).replace( 5, design_demand=5 ) - assert (t1.placed, t1.program.tunnels[0].edges) == (5, (1, 2)) + assert (t1.call_delivered, t1.program.tunnels[0].edges) == (5, (1, 2)) def test_equal_and_weighted_splits_over_a_zero_member(): first = graph(2, [(0, 1, 0, 1), (0, 1, 10, 1)]) last = graph(2, [(0, 1, 10, 1), (0, 1, 0, 1)]) - assert place(first, 0, 1, COSTONLY, 10)[0].placed == 0 - assert place(last, 0, 1, COSTONLY, 10)[0].placed == 1 - r, _ = place(first, 0, 1, config(ngc.CostOnly(), EB, LOSSY), 10) - assert (r.placed, r.drops) == (5, [(0, 5)]) - assert place(first, 0, 1, config(ngc.CostOnly(), W), 10)[0].placed == 10 + assert place(first, 0, 1, COSTONLY, 10)[0].call_delivered == 0 + assert place(last, 0, 1, COSTONLY, 10)[0].call_delivered == 1 + r, _ = place(first, 0, 1, config(ngc.ShortestPaths(), EB, LOSSY), 10) + assert (r.call_delivered, r.edge_drops) == (5, [(0, 5)]) + assert ( + place(first, 0, 1, config(ngc.ShortestPaths(), W), 10)[0].call_delivered == 10 + ) # A WCMP member of capacity 0, and all weights zero. wcmp = graph(2, [(0, 1, 0, 1), (0, 1, 40, 1)]) - assert place(wcmp, 0, 1, config(ngc.CostOnly(), W, LOSSY), 40)[0].placed == 40 + assert ( + place(wcmp, 0, 1, config(ngc.ShortestPaths(), W, LOSSY), 40)[0].call_delivered + == 40 + ) one = graph(2, [(0, 1, 0, 1)]) - r, p = place(one, 0, 1, config(ngc.CostOnly(), W, LOSSY), 2) + r, p = place(one, 0, 1, config(ngc.ShortestPaths(), W, LOSSY), 2) [rec] = p.records() - assert (r.placed, r.drops, rec.offered, rec.delivered) == (0, [], 2, 0) + assert (r.call_delivered, r.edge_drops, rec.offered, rec.delivered) == (0, [], 2, 0) # A link of service 0: both units dropped on the zero-capacity link. - r, _ = place(one, 0, 1, config(ngc.CostOnly(), EB, LOSSY), 2) - assert (r.placed, r.drops) == (0, [(0, 2)]) + r, _ = place(one, 0, 1, config(ngc.ShortestPaths(), EB, LOSSY), 2) + assert (r.call_delivered, r.edge_drops) == (0, [(0, 2)]) @pytest.mark.parametrize( @@ -126,34 +153,44 @@ def test_equal_and_weighted_splits_over_a_zero_member(): ids=["zero-first", "positive-first"], ) def test_two_sources_one_behind_a_zero_link(caps, lossless, drops): - # The pooled equal origin: a LOSSLESS total a is admitted only when RR(a) fits, so a source + # The pooled equal source allocation: a LOSSLESS total a is admitted only when RR(a) fits, so a source # behind the zero link caps it at its round-robin position: 0 when source 0 is behind it # (RR(1) gives source 0 the unit), 1 when source 1 is (RR(2) gives source 1 a unit). LOSSY # offers RR(10) = 5 and 5 and drops the share behind the zero link. g = graph(3, [(0, 2, caps[0], 1), (1, 2, caps[1], 1)]) r, p = place(g, [0, 1], 2, COSTONLY, 10) - assert (r.placed, r.termination) == (lossless, ngc.Termination.EXHAUSTED) + assert (r.call_delivered, r.termination) == (lossless, ngc.Termination.EXHAUSTED) assert [row.source for row in r.by_source] == [0, 1] assert len(p.records()) == 2 - r, _ = place(g, [0, 1], 2, config(ngc.CostOnly(), EB, LOSSY), 10) - assert (r.placed, r.drops) == (5, drops) + r, _ = place(g, [0, 1], 2, config(ngc.ShortestPaths(), EB, LOSSY), 10) + assert (r.call_delivered, r.edge_drops) == (5, drops) -def test_b3_delete_zero_and_sensitivity(): +def test_b3_delete_zero_and_edge_failures(): g = graph(3, [(0, 2, 0, 1), (1, 2, 10, 1)]) - for elig in (g.eligibility(excluded_nodes=[0]), g.eligibility(excluded_edges=[0])): - assert place(g, [0, 1], 2, COSTONLY, 10, elig)[0].placed == 10 - assert place(g, [0, 1], 2, GLOBAL, 10, elig)[0].placed == 10 - # The zero-capacity source first, under the pooled equal origin, admits 0; removing the zero link takes source 0 + for eligibility in ( + g.eligibility(excluded_nodes=[0]), + g.eligibility(excluded_edges=[0]), + ): + assert place(g, [0, 1], 2, COSTONLY, 10, eligibility)[0].call_delivered == 10 + assert place(g, [0, 1], 2, GLOBAL, 10, eligibility)[0].call_delivered == 10 + # The zero-capacity source first, under the pooled equal source allocation, admits 0; removing the zero link takes source 0 # out of the program, so the deletion gains 10 (a negative loss); removing 1 -> 2 leaves 0. - s = ngc.sensitivity(g, [0, 1], 2, ngc.QueryOptions(COSTONLY)) - assert (s.baseline.placed, [(e.edge, e.loss) for e in s.entries]) == ( + s = ngc.evaluate_edge_failures(g, [0, 1], 2, ngc.EvaluationOptions(COSTONLY)) + assert ( + s.baseline.call_delivered, + [(e.edge, e.delivery_reduction) for e in s.entries], + ) == ( 0, [(0, -10), (1, 0)], ) # A negative loss for the zero-capacity link. - s8 = ngc.sensitivity(graph(3, S), 0, 1, ngc.QueryOptions(COSTONLY)) - assert [(e.edge, e.loss) for e in s8.entries] == [(0, -5), (1, 0), (2, 0)] + s8 = ngc.evaluate_edge_failures(graph(3, S), 0, 1, ngc.EvaluationOptions(COSTONLY)) + assert [(e.edge, e.delivery_reduction) for e in s8.entries] == [ + (0, -5), + (1, 0), + (2, 0), + ] def test_t1_roster_and_stretch_baseline(): @@ -161,22 +198,27 @@ def test_t1_roster_and_stretch_baseline(): x8 = graph(3, [(0, 2, 0, 1), (1, 2, 8, 3)]) p = ngc.FlowPolicy(ngc.FlowLedger(x8), [0, 1], 2, t1_config(1, LOSSY)) r = p.replace(4, design_demand=4) - assert (r.placed, r.call_source_loss, r.termination) == ( + assert (r.call_delivered, r.call_source_drops, r.termination) == ( 2, 2, ngc.Termination.COMPLETE, ) assert [t.status for t in r.by_tunnel] == [ - ngc.TunnelStatus.NO_BANDWIDTH, + ngc.TunnelStatus.INSUFFICIENT_BANDWIDTH, ngc.TunnelStatus.UP, ] - # Stretch(1.2): c0 = 5 (the zero-capacity link counts); 1.2 * 5 is just below 6. + # CostStretch(1.2), exactly 6/5: c0 = 5 (the zero-capacity link counts), and the cost-6 path is + # admitted at equality; at 11/10 it exceeds the ceiling. h = graph(2, [(0, 1, 0, 5), (0, 1, 1, 6)]) - cfg = t1_config(1, LOSSY, max_path_cost=ngc.Stretch(1.2)) - p = ngc.FlowPolicy(ngc.FlowLedger(h), 0, 1, cfg) - r = p.replace(1, design_demand=1) - assert (r.placed, r.by_tunnel[0].status) == (0, ngc.TunnelStatus.COST_CEILING) - assert [rec.entry for rec in p.records()] == [0] + for factor, delivered, status in ( + (1.2, 1, ngc.TunnelStatus.UP), + (Fraction(11, 10), 0, ngc.TunnelStatus.COST_CEILING_EXCEEDED), + ): + cfg = t1_config(1, LOSSY, cost_ceiling=ngc.CostStretch(factor)) + p = ngc.FlowPolicy(ngc.FlowLedger(h), 0, 1, cfg) + r = p.replace(1, design_demand=1) + assert (r.call_delivered, r.by_tunnel[0].status) == (delivered, status), factor + assert [rec.entry_id for rec in p.records()] == [0] @pytest.mark.parametrize( @@ -187,21 +229,27 @@ def test_pinned_routes_keep_their_zero_links(caps, bound): # route 0, so a zero first route blocks every total and a zero last route admits 1. g = graph(2, [(0, 1, caps[0], 1), (0, 1, caps[1], 1)]) program = ngc.ForwardingProgram.from_routes( - g, 0, 1, [ngc.Route(0, dag_of(g, [0])), ngc.Route(0, dag_of(g, [1]))] + g, + 0, + 1, + [ + ngc.RouteDefinition(0, dag_of(g, [0])), + ngc.RouteDefinition(0, dag_of(g, [1])), + ], ) r, p = place(g, 0, 1, ngc.FlowPolicyConfig(routing=ngc.Pinned(program)), math.inf) - assert (r.placed, len(p.records())) == (bound, 2) + assert (r.call_delivered, len(p.records())) == (bound, 2) def test_global_min_cut_lists_zero_capacity_links_leaving_the_closure(): want = ngc.OutputOptions(min_cut=True) b = graph(3, [(0, 2, 0, 1), (1, 2, 10, 1)]) - r = ngc.capacity(b, [0, 1], 2, ngc.QueryOptions(GLOBAL, outputs=want)) - assert (r.placed, r.min_cut) == (10, [0, 1]) + r = ngc.evaluate_demand(b, [0, 1], 2, ngc.EvaluationOptions(GLOBAL, outputs=want)) + assert (r.call_delivered, r.min_cut) == (10, [0, 1]) s = graph(3, S) - r = ngc.capacity(s, 0, 1, ngc.QueryOptions(GLOBAL, outputs=want)) - assert (r.placed, r.min_cut) == (5, [0, 1]) - masked = ngc.QueryOptions( - GLOBAL, elig=s.eligibility(excluded_edges=[0]), outputs=want + r = ngc.evaluate_demand(s, 0, 1, ngc.EvaluationOptions(GLOBAL, outputs=want)) + assert (r.call_delivered, r.min_cut) == (5, [0, 1]) + masked = ngc.EvaluationOptions( + GLOBAL, eligibility=s.eligibility(excluded_edges=[0]), outputs=want ) - assert ngc.capacity(s, 0, 1, masked).min_cut == [1] + assert ngc.evaluate_demand(s, 0, 1, masked).min_cut == [1] diff --git a/tests/py/tunnel_oracle.py b/tests/py/tunnel_oracle.py index 4669540..f8d6955 100644 --- a/tests/py/tunnel_oracle.py +++ b/tests/py/tunnel_oracle.py @@ -1,6 +1,8 @@ -"""An independent reference for T1 (CapacityAware(Tunnels(N)), contract 6.2 to 6.5, 8.3, -8.4) and T2 (Global(tunnels=Tunnels(N)), 7.2 to 7.8), the property tests of test_tunnels_t1.py and -test_tunnels_t2.py. It restates the contract in plain Python and calls nothing of the library: for +"""An independent reference for T1 (DistributedTE(TunnelCount(N))) and T2 +(CentralizedTE(tunnel_count=TunnelCount(N))) as docs/semantics.md states them ("T1: tunnels set up +by their heads", "T2: the controller's equal tunnels", "Forwarding programs"), for the property +tests of test_distributed_te.py and test_centralized_te_tunnels.py. It restates those rules in plain +Python and calls nothing of the library: for T1 the requests in round order, every attempt a brute force over the simple paths (a path stops at the first destination) with the bandwidth filter, the collapse of parallel members and the single-path order, the cost ceilings with the pool baseline c0; for T2 the live heads by simple @@ -27,15 +29,15 @@ UP, NB, CC, FAILED, BLACKHOLED = ( "UP", - "NO_BANDWIDTH", - "COST_CEILING", + "INSUFFICIENT_BANDWIDTH", + "COST_CEILING_EXCEEDED", "FAILED", "BLACKHOLED", ) def rr(x, k, i): - """RR(x, k, i) = x // k + [i < x % k] (2.3).""" + """RR(x, k, i) = x // k + [i < x % k].""" return x // k + (1 if i < x % k else 0) @@ -70,22 +72,26 @@ def cost_of(edges, path): return sum(edges[e][3] for e in path) -def priority(edges, sel_priority, U, e, service): - """The priority view of 6.4: RESIDUAL reads U, HEADROOM U / C (0 when C = 0), CAPACITY C; - `service` (the service residual) is not read.""" +def priority(edges, tie_break, U, e, service): + """The tie rule's edge score on T1's view: HIGHER_AVAILABLE_CAPACITY reads U, + HIGHER_HEADROOM U / C (0 when C = 0), HIGHER_CAPACITY C; `service` (the service residual) + is not read.""" cap = edges[e][2] - if sel_priority == "RESIDUAL": + if tie_break == "HIGHER_AVAILABLE_CAPACITY": return Fraction(U[e]) - if sel_priority == "HEADROOM": + if tie_break == "HIGHER_HEADROOM": return Fraction(U[e], cap) if cap > 0 else Fraction(0) return Fraction(cap) @dataclass class Selection: - php: bool = False - priority: str = "CAPACITY" - multi_edge: bool = True + tie_break: str = "FEWER_HOPS" + parallel_edges: bool = True + + @property + def higher(self): + return self.tie_break != "FEWER_HOPS" @dataclass @@ -118,7 +124,7 @@ class Setup: def roster_of(edges, sources, dests, mask=None): - """The sources whose node is allowed that statically reach an allowed destination (2.2).""" + """The sources whose node is allowed that statically reach an allowed destination.""" ok = allowed(edges, mask) xn = set(mask[0]) if mask else set() live = [d for d in dests if d not in xn] @@ -139,14 +145,14 @@ def choose(edges, U, candidate_ok, sel, src, dests, threshold, service): # The filter U >= max(b, minimum); a threshold of 0 keeps every allowed edge. filtered = [ok and U[e] >= threshold for e, ok in enumerate(candidate_ok)] kept = list(filtered) - if not sel.multi_edge: + if not sel.parallel_edges: best = {} for e, (u, v, _, c) in enumerate(edges): if not filtered[e]: continue key = ( c, - -priority(edges, sel.priority, U, e, service) if sel.php else 0, + -priority(edges, sel.tie_break, U, e, service) if sel.higher else 0, e, ) if (u, v) not in best or key < best[(u, v)][0]: @@ -158,15 +164,19 @@ def choose(edges, U, candidate_ok, sel, src, dests, threshold, service): return None def order(p): - bottleneck = min(priority(edges, sel.priority, U, e, service) for e in p) + bottleneck = min(priority(edges, sel.tie_break, U, e, service) for e in p) cost, hops = cost_of(edges, p), len(p) - return (cost, -bottleneck if sel.php else 0, hops, tuple(p)) + return (cost, -bottleneck if sel.higher else 0, hops, tuple(p)) return min(paths, key=order) def exact_fraction(f): - return Fraction(f) if not isinstance(f, Fraction) else f + """A CostStretch factor as the library reads it: a Fraction as it is, a float as the decimal it prints + (Fraction(str(f)): 1.2 is 6/5), an integer n/1.""" + if isinstance(f, Fraction): + return f + return Fraction(str(f)) if isinstance(f, float) else Fraction(f) def setup( @@ -185,7 +195,7 @@ def setup( held=None, service=None, ): - """T1's setup (6.2 to 6.4). unreserved: the reservation baseline R0 (default: the + """T1's setup. unreserved: the reservation baseline R0 (default: the capacities); held: other owners' holds per edge (default 0); U = R0 - held. service: the service residual (default: the capacities), which setup never reads (rule 7's misreading does).""" @@ -198,7 +208,7 @@ def setup( base = list(unreserved) if unreserved is not None else [c for _, _, c, _ in edges] U = [r - (held[e] if held else 0) for e, r in enumerate(base)] service = list(service) if service is not None else [c for _, _, c, _ in edges] - # Stretch: c0 is the smallest static shortest cost over the roster (before any filter). + # CostStretch: c0 is the smallest static shortest cost over the roster (before any filter). c0 = min((static_cost(edges, ok, h, live) for h in roster), default=None) tunnels = [] for j in range(N): @@ -228,7 +238,7 @@ def setup( return Setup(roster, tunnels, holds, c0) -# ---------------------------------------------------------------- forwarding (6.5, 8.3) +# ---------------------------------------------------------------- forwarding def entry_shares(x, roster, tunnels, alive=None): @@ -264,7 +274,8 @@ def loads(edges, tunnels, amounts): def lossless_bound(edges, roster, tunnels, V, alive=None, top=None): - """8.3: the largest total whose no-drop loads fit V with no share lost at a head.""" + """The lossless bound: the largest total whose no-drop loads fit V with no share lost at a + head.""" top = top if top is not None else sum(V) + 1 def fits(x): @@ -320,7 +331,7 @@ def lossy(edges, roster, tunnels, x, V, alive=None): return delivered, lost, per, drops -# ---------------------------------------------------------------- replay (8.4) and records (10.4) +# ---------------------------------------------------------------- replay and records def replay(edges, program_roster, tunnels, dests, mask, producer_mask=None): @@ -353,7 +364,7 @@ def replay(edges, program_roster, tunnels, dests, mask, producer_mask=None): def records(tunnels, amounts=None): - """One record per program entry, in index order: (entry, delivered, holds) (10.4).""" + """One record per program entry, in index order: (entry, delivered, holds).""" amounts = amounts or [0] * len(tunnels) out = [] for t, a in zip(tunnels, amounts, strict=True): @@ -368,7 +379,8 @@ def records(tunnels, amounts=None): def termination(offer, roster, tunnels, alive, lossy_admission, admitted): - """14.2 as amended: zero offer, empty roster, rule (3) only for a program with an up tunnel.""" + """The termination rule: zero offer, empty roster, rule (3) only for a program with an up + tunnel.""" if offer == 0: return "COMPLETE" if not roster: @@ -382,13 +394,13 @@ def termination(offer, roster, tunnels, alive, lossy_admission, admitted): return "COMPLETE" if admitted == offer else "EXHAUSTED" -# ---------------------------------------------------------------- T2 (7.2 to 7.8) +# ---------------------------------------------------------------- T2 SCALE = 2**32 def t2_live(edges, roster, dests, V, mask=None): - """The live heads: those with a simple path whose every link has V >= 1 (7.2).""" + """The live heads: those with a simple path whose every link has V >= 1.""" ok = allowed(edges, mask) xn = set(mask[0]) if mask else set() live_dests = [d for d in dests if d not in xn] @@ -434,7 +446,7 @@ def _max_flow(n, arcs, s, t): def t2_fits(edges, ok, roster, live, dests, k, size, V): - """Do k tunnels of the common size `size` fit at every live head? The quota flow of 7.2: link + """Do k tunnels of the common size `size` fit at every live head? The quota flow: link capacity min(K, floor(V / size)), an arc of k from a root to each live head, K from each destination to a sink; links leaving a destination are not in it.""" heads = live @@ -465,7 +477,7 @@ def t2_common(edges, ok, roster, live, dests, k, V): def t2_fluid(edges, ok, roster, live, dests, k, V): - """s*: the largest fraction V[e] / j (j <= K) that fits (7.2).""" + """s*: the largest fraction V[e] / j (j <= K) that fits.""" K = len(live) * k candidates = sorted( {Fraction(v, j) for v in V if v for j in range(1, K + 1)}, reverse=True @@ -477,7 +489,7 @@ def t2_fluid(edges, ok, roster, live, dests, k, V): def t2_working(U, roster, live, k, D): - """u (7.2): for a finite design, min(U, max(1, max over live heads of ceil(RR(D, H, i) / k))), + """u: for a finite design, min(U, max(1, max over live heads of ceil(RR(D, H, i) / k))), the shares over the whole roster; unlimited: U.""" if D is None: return U @@ -487,7 +499,7 @@ def t2_working(U, roster, live, k, D): def slot_price(B, V, j, u): - """The headroom price of slot j of an edge (7.3).""" + """The headroom price of slot j of an edge.""" return SCALE * (B - V + j * u) // B @@ -530,7 +542,7 @@ def t2_best_objectives(edges, ok, live, dests, k, u, V, headroom): def t2_canonical(edges, ok, live, dests, k, u, V, headroom): - """The canonical unit augmentation (7.3): K single units from zero, each on the residual path + """The canonical unit augmentation: K single units from zero, each on the residual path from the root to the sink of minimum (J, Phi) price, then the fewest arcs, then the smallest sequence of arc keys: (0, EdgeId, direction) for links, (1, head, direction) for root arcs, (2, destination, direction) for sink arcs (forward 0, reverse 1). Bellman-Ford distances.""" @@ -613,7 +625,7 @@ def price(e, j): def t2_program(edges, roster, live, dests, k, x, u): - """The tunnels (7.3): x cut, live head by live head in ascending NodeId, into unit walks along + """The tunnels: x cut, live head by live head in ascending NodeId, into unit walks along the smallest positive EdgeId to a destination; each head's walks sorted by EdgeId sequence; in round order (local index j, then roster position i), index j * H + i.""" rem = list(x) @@ -666,7 +678,7 @@ def insufficient(self): def t2_bound(edges, plan, V): - """F (7.6): the program's 8.3 lossless maximum: every roster head's share counts, a dead head's + """F: the program's lossless maximum: every roster head's share counts, a dead head's included (it blocks every total that gives it a unit).""" if not plan.roster: return 0 @@ -696,7 +708,7 @@ def live_share(roster, live, z): def live_budget(edges, plan, V): - """F'(k) (7.7): the largest total whose live shares fit on the program (dead shares + """F'(k): the largest total whose live shares fit on the program (dead shares ignored).""" roster = plan.roster @@ -717,7 +729,7 @@ def fits(z): def t2( edges, sources, dests, N, D=None, *, up_to=False, V=None, mask=None, headroom=False ): - """T2 for Tunnels(N) or Tunnels(N, up_to=True) on the free capacity V (default: the + """T2 for TunnelCount(N) or TunnelCount(N, up_to=True) on the free capacity V (default: the capacities). Returns the T2Plan with its forwarding bound, and for "up to" the per-count scores.""" V = list(V) if V is not None else [c for _, _, c, _ in edges] @@ -751,5 +763,5 @@ def t2( def program_roster(plan): - """The roster a T2 program installs (7.8): the policy's whole roster, also without tunnels.""" + """The roster a T2 program installs: the policy's whole roster, also without tunnels.""" return plan.roster diff --git a/tests/typing/invalid_client.py b/tests/typing/invalid_client.py index a718835..830d6a0 100644 --- a/tests/typing/invalid_client.py +++ b/tests/typing/invalid_client.py @@ -13,16 +13,16 @@ import netgraph_core as ng g = ng.Graph(2, [0], [1], [10], [1], 1.0) -sel = ng.PathSelection(ng.EdgeTieBreak.DETERMINISTIC, ng.EdgePriority.CAPACITY) -cfg = ng.FlowPolicyConfig(routing=ng.Global()) +opt = ng.SourceAllocation.OPTIMIZED +cfg = ng.FlowPolicyConfig(routing=ng.CentralizedTE(source_allocation=opt)) # The twelve result and factory classes have no constructor ("No constructor defined!"). ng.Eligibility() # expect: reportCallIssue -ng.PredDAG() # expect: reportCallIssue +ng.PredecessorDAG() # expect: reportCallIssue ng.FlowRecord() # expect: reportCallIssue ng.PlacementResult() # expect: reportCallIssue ng.SourceFlow() # expect: reportCallIssue -ng.DagCacheStats() # expect: reportCallIssue +ng.ShortestPathCacheStats() # expect: reportCallIssue ng.SensitivityEntry() # expect: reportCallIssue ng.SensitivityResult() # expect: reportCallIssue ng.SpfResult() # expect: reportCallIssue @@ -31,37 +31,53 @@ ng.TunnelFlow() # expect: reportCallIssue # dtype mistakes: the capacities are an int64 array of ints. (NumPy's own stubs type an element -# read arr[i] as Any, so "text: str = g.capacity_units()[0]" cannot be caught by any stub; an +# read arr[i] as Any, so "text: str = g.edge_capacity_units()[0]" cannot be caught by any stub; an # element read through .item() and the array itself carry the dtype.) -floats: npt.NDArray[np.float64] = g.capacity_units() # expect: reportAssignmentType -text: str = g.capacity_units().item(0) # expect: reportAssignmentType +# fmt: off +floats: npt.NDArray[np.float64] = g.edge_capacity_units() # expect: reportAssignmentType +# fmt: on +text: str = g.edge_capacity_units().item(0) # expect: reportAssignmentType # Wrong argument types (the module raises ValueError or TypeError). ng.Graph("wrong", [0], [1], [10], [1], 1.0) # expect: reportArgumentType ng.Graph(2, [0], [1], [1.5], [1], 1.0) # expect: reportArgumentType -ng.FlowLedger(g, residual=np.zeros(1, dtype=np.float64)) # expect: reportArgumentType -ng.spf(g, 0, ng.KspOptions(1, sel)) # expect: reportArgumentType -ng.capacity(g, 0, 1, cfg) # expect: reportArgumentType -guard = ng.Tunnels(2) -ng.CapacityAware(guard, max_path_cost=guard) # expect: reportArgumentType -ng.Global(tunnels=2) # expect: reportArgumentType -ng.Global(prefer_headroom="yes") # expect: reportArgumentType +# fmt: off +ng.FlowLedger(g, service_baseline=np.zeros(1, dtype=np.float64)) # expect: reportArgumentType +# fmt: on +ng.spf(g, 0, ng.KspOptions(1)) # expect: reportArgumentType +ng.SpfOptions(ng.Direction.FORWARD, multipath=None) # expect: reportArgumentType +ng.CostStretch("1.2") # expect: reportArgumentType +ng.evaluate_demand(g, 0, 1, cfg) # expect: reportArgumentType +ng.EvaluationOptions(cfg, offer="4") # expect: reportArgumentType +guard = ng.TunnelCount(2) +ng.DistributedTE(guard, cost_ceiling=guard) # expect: reportArgumentType +ng.CentralizedTE(source_allocation=opt, tunnel_count=2) # expect: reportArgumentType +# fmt: off +ng.CentralizedTE(source_allocation=opt, prefer_headroom="yes") # expect: reportArgumentType +# fmt: on +# CentralizedTE names its source allocation; the allocations and weights are the models' fields. +ng.CentralizedTE() # expect: reportCallIssue +sp = ng.ShortestPaths() +ng.FlowPolicyConfig(routing=sp, placement=None) # expect: reportCallIssue +ng.ShortestPaths(allocation="EQUAL") # expect: reportArgumentType ng.to_units("1.5", 1.0) # expect: reportCallIssue, reportArgumentType # FlowPolicyConfig takes keywords only. -ng.FlowPolicyConfig(ng.Global()) # expect: reportCallIssue +ng.FlowPolicyConfig(ng.CentralizedTE(source_allocation=opt)) # expect: reportCallIssue dag = ng.Path(g, [[0]]).to_dag() ng.Pinned([dag]) # expect: reportArgumentType # Integer arrays serve as hops and pairs; float arrays do not. ng.Path(g, np.zeros((1, 1), dtype=np.float64)) # expect: reportArgumentType float_pairs = np.zeros((1, 2), dtype=np.float64) -ng.batch_capacity(g, float_pairs, ng.QueryOptions(cfg)) # expect: reportArgumentType +# fmt: off +ng.evaluate_pairs(g, float_pairs, ng.EvaluationOptions(cfg)) # expect: reportArgumentType +# fmt: on # Missing Optional checks: these results may be None. -result = ng.spf(g, 0, ng.SpfOptions(ng.Direction.FORWARD, sel, targets=1)) +result = ng.spf(g, 0, ng.SpfOptions(ng.Direction.FORWARD, targets=1)) cost: int = result.target_cost # expect: reportAssignmentType first = result.costs[0] # expect: reportOptionalSubscript -flows = ng.capacity(g, 0, 1, ng.QueryOptions(cfg)).edge_flows +flows = ng.evaluate_demand(g, 0, 1, ng.EvaluationOptions(cfg)).edge_flows total = flows.sum() # expect: reportOptionalMemberAccess -best = ng.capacity(g, 0, 1, ng.QueryOptions(cfg)) +best = ng.evaluate_demand(g, 0, 1, ng.EvaluationOptions(cfg)) cost_total: int = best.total_cost # expect: reportAssignmentType weights = best.program.source_weights # expect: reportOptionalMemberAccess diff --git a/tests/typing/valid_client.py b/tests/typing/valid_client.py index bef5b13..97e3e0c 100644 --- a/tests/typing/valid_client.py +++ b/tests/typing/valid_client.py @@ -22,16 +22,16 @@ np.array([1, 2, 1, 1], dtype=np.uint8), 1.0, ) -assert_type(g.capacity_units(), npt.NDArray[np.int64]) -assert_type(g.cost(), npt.NDArray[np.int64]) -assert_type(g.edge_src(), npt.NDArray[np.int32]) -assert_type(g.row_offsets(), npt.NDArray[np.int32]) +assert_type(g.edge_capacity_units(), npt.NDArray[np.int64]) +assert_type(g.edge_costs(), npt.NDArray[np.int64]) +assert_type(g.edge_sources(), npt.NDArray[np.int32]) +assert_type(g.outgoing_offsets(), npt.NDArray[np.int32]) assert_type(g.num_edges(), int) -first_capacity: int = int(g.capacity_units()[0]) +first_capacity: int = int(g.edge_capacity_units()[0]) -elig = g.eligibility(excluded_nodes=[np.int64(2)]) -assert_type(elig.edge_allowed(), npt.NDArray[np.bool_]) -both = ng.Eligibility.intersect(elig, g.eligibility()) +eligibility = g.eligibility(excluded_nodes=[np.int64(2)]) +assert_type(eligibility.edge_allowed(), npt.NDArray[np.bool_]) +both = ng.Eligibility.intersect(eligibility, g.eligibility()) assert_type(both, ng.Eligibility) # Units: a scalar gives an int, an array an int64 array; and back. @@ -41,13 +41,20 @@ assert_type(ng.as_float(np.array([3, 4]), 0.5), npt.NDArray[np.float64]) # The search: optional results are checked before use. -sel = ng.PathSelection(ng.EdgeTieBreak.DETERMINISTIC, ng.EdgePriority.CAPACITY) -full = ng.spf(g, 0, ng.SpfOptions(ng.Direction.FORWARD, sel)) +full = ng.spf( + g, 0, ng.SpfOptions(ng.Direction.FORWARD, tie_break=ng.RouteTieBreak.FEWER_HOPS) +) costs = full.costs assert_type(costs, npt.NDArray[np.int64] | None) if costs is not None: reached = int(costs[3]) -near = ng.spf(g, [0], ng.SpfOptions(ng.Direction.FORWARD, sel, targets=3, elig=elig)) +near = ng.spf( + g, + [0], + ng.SpfOptions( + ng.Direction.FORWARD, targets=3, multipath=False, eligibility=eligibility + ), +) cost = near.target_cost if cost is not None: assert_type(cost, int) @@ -55,10 +62,12 @@ assert_type(dag.parents(), npt.NDArray[np.int32]) paths = ng.resolve_to_paths(g, full.dag, 0, 3, max_paths=None) assert_type(paths, list[ng.Path]) -for c, p in ng.ksp(g, 0, 3, ng.KspOptions(2, sel, max_path_cost=ng.Absolute(9))): +for c, p in ng.ksp( + g, 0, 3, ng.KspOptions(2, parallel_edges=False, cost_ceiling=ng.AbsoluteCost(9)) +): assert_type(c, int) hops: list[list[int]] = p.hops() -same = ng.PredDAG.from_csr( +same = ng.PredecessorDAG.from_csr( g, dag.parent_offsets(), dag.parents(), np.asarray(dag.via_edges()) ) # An integer array serves as the sequence of hops (one row per hop): the walk 0 -> 1 -> 3. @@ -66,26 +75,26 @@ assert_type(walk.cost(), int) # The ledger and a policy. -ledger = ng.FlowLedger(g, residual=None) +ledger = ng.FlowLedger(g, service_baseline=None) policy = ng.FlowPolicy( ledger, 0, [3], ng.FlowPolicyConfig( - routing=ng.CapacityAware(ng.Tunnels(2), max_path_cost=ng.Stretch(1.5)), + routing=ng.DistributedTE(ng.TunnelCount(2), cost_ceiling=ng.CostStretch(1.5)), admission=ng.Admission.LOSSLESS, ), ) result = policy.replace( 10, design_demand=8, - outputs=ng.OutputOptions(residual=True, reservation_edge_flows=True), + outputs=ng.OutputOptions(residual=True, edge_reservations=True), ) assert_type(result, ng.PlacementResult) plan = result.plan if plan is not None: assert_type(plan.design_demand, int | float) - assert_type(plan.head_design, tuple[tuple[int, int], ...]) + assert_type(plan.design_by_head, tuple[tuple[int, int], ...]) assert_type( result.program.tunnels[0].edges if result.program else None, tuple[int, ...] | None ) @@ -95,32 +104,43 @@ 0, 3, ng.FlowPolicyConfig( - routing=ng.Global(tunnels=ng.Tunnels(2, up_to=True), prefer_headroom=True), + routing=ng.CentralizedTE( + source_allocation=ng.SourceAllocation.EQUAL, + tunnel_count=ng.TunnelCount(2, up_to=True), + prefer_headroom=True, + ), admission=ng.Admission.LOSSY, ), ) t2 = te16.replace(4, design_demand=4).plan if t2 is not None: - assert_type(t2.fluid_share, Fraction | None) - assert_type(t2.live_heads, tuple[int, ...] | None) - assert_type(t2.route_cost, int | None) + assert_type(t2.max_fractional_bandwidth_per_tunnel, Fraction | None) + assert_type(t2.heads_with_capacity, tuple[int, ...] | None) + assert_type(t2.total_tunnel_cost, int | None) assert_type(t2.headroom_penalty, int | None) - assert_type(t2.forwarding_bound, int | None) + assert_type(t2.max_lossless_offer, int | None) assert_type(t2.insufficient_resolution, bool | None) -assert_type(ng.Global(tunnels=ng.Tunnels(16)).tunnels, ng.Tunnels | None) -assert_type(ng.Global(tunnels=ng.Tunnels(16)).prefer_headroom, bool) -assert_type(result.program.tunnels[0].planned if result.program else 0, int) -held = result.reservation_edge_flows +t2 = ng.CentralizedTE( + source_allocation=ng.SourceAllocation.EQUAL, tunnel_count=ng.TunnelCount(16) +) +assert_type( + t2.tunnel_count, + ng.TunnelCount | None, +) +assert_type(t2.prefer_headroom, bool) +assert_type(t2.source_allocation, ng.SourceAllocation) +assert_type(result.program.tunnels[0].planned_bandwidth if result.program else 0, int) +held = result.edge_reservations if held is not None: assert_type(held, npt.NDArray[np.int64]) assert_type(ledger.reserved(), npt.NDArray[np.int64]) -assert_type(result.remaining, int | float) +assert_type(result.call_undelivered, int | float) residual = result.residual if residual is not None: assert_type(residual, npt.NDArray[np.int64]) for record in policy.records(): - assert_type(record.edges, list[tuple[int, int]]) - assert_type(record.route_cost, int | None) + assert_type(record.edge_flows, list[tuple[int, int]]) + assert_type(record.min_route_cost, int | None) assert_type(ledger.record(record.flow_id), ng.FlowRecord) policy.remove() @@ -129,25 +149,33 @@ assert_type(result.offered, int | None) assert_type(result.unadmitted, int | None) assert_type(result.total_cost, int | None) -assert_type(result.call_drops, list[tuple[int, int]]) +assert_type(result.call_edge_drops, list[tuple[int, int]]) for row in result.by_source: assert_type(row, ng.SourceFlow) assert_type(row.admitted, int) assert_type(row.offered, int | None) -# Forwarding programs: built from routes (a Path or a PredDAG), exported by a policy, forwarded +# Forwarding programs: built from routes (a Path or a PredecessorDAG), exported by a policy, forwarded # by Pinned under a mask and with black holes; the full-offer calls return results too. -route = ng.Route(0, ng.Path(g, [[0], [2]]), weight=np.int64(2)) +route = ng.RouteDefinition(0, ng.Path(g, [[0], [2]]), weight=np.int64(2)) program = ng.ForwardingProgram.from_routes( - g, 0, [3], [ng.Route(0, full.dag), route], placement=ng.FlowPlacement.WEIGHTED + g, + 0, + [3], + [ng.RouteDefinition(0, full.dag), route], + allocation=ng.RouteAllocation.WEIGHTED, ) assert_type(program, ng.ForwardingProgram) +pooled = ng.ForwardingProgram.from_dag( + g, [0], np.array([3]), full.dag, allocation=ng.RouteAllocation.EQUAL +) +assert_type(pooled, ng.ForwardingProgram) assert_type(program.tunnels, tuple[ng.Tunnel, ...]) assert_type(program.source_weights, tuple[tuple[int, int], ...] | None) for tunnel in program.tunnels: assert_type(tunnel.edges, tuple[int, ...] | None) pinned_cfg = ng.FlowPolicyConfig( - routing=ng.Pinned(program, black_holes=elig), admission=ng.Admission.LOSSY + routing=ng.Pinned(program, black_holes=eligibility), admission=ng.Admission.LOSSY ) replay = ng.FlowPolicy(ng.FlowLedger(g), 0, 3, pinned_cfg, g.eligibility()) replaced = replay.replace(np.int64(4), outputs=None) @@ -157,47 +185,64 @@ assert_type(tunnel_row.assigned, int) assert_type(tunnel_row.status, ng.TunnelStatus) exported = ng.FlowPolicy( - ng.FlowLedger(g), 0, 3, ng.FlowPolicyConfig(routing=ng.Global()) + ng.FlowLedger(g), + 0, + 3, + ng.FlowPolicyConfig( + routing=ng.CentralizedTE(source_allocation=ng.SourceAllocation.OPTIMIZED) + ), ) assert_type(exported.evaluate(4).program, ng.ForwardingProgram | None) exported.replace(4) assert_type(exported.forward(float("inf"), black_holes=None), ng.PlacementResult) -weighted = ng.FlowPolicyConfig( - routing=ng.CostOnly(), - placement=ng.FlowPlacement.WEIGHTED, - weights=ng.WeightBasis.EXPLICIT, +wcmp = ng.ShortestPaths( + allocation=ng.RouteAllocation.WEIGHTED, + weight_basis=ng.WeightBasis.EXPLICIT, edge_weights=np.array([1, 2, 1, 1], dtype=np.int64), ) -assert_type(weighted.edge_weights, tuple[int, ...] | None) -lossy_opts = ng.QueryOptions(pinned_cfg, offered=4) -assert_type(lossy_opts.offered, int | float | None) -assert_type(ng.capacity(g, 0, 3, lossy_opts).by_tunnel, tuple[ng.TunnelFlow, ...]) +assert_type(wcmp.edge_weights, tuple[int, ...] | None) +assert_type(ng.FlowPolicyConfig(routing=wcmp).admission, ng.Admission) +lossy_opts = ng.EvaluationOptions(pinned_cfg, offer=4) +assert_type(lossy_opts.offer, int | float | None) +assert_type( + ng.evaluate_demand(g, 0, 3, lossy_opts).by_tunnel, tuple[ng.TunnelFlow, ...] +) -# The evaluators, with optional arguments left out or None. Only CostOnly reads a cache; the -# controllers' origin defaults to OPTIMIZED. -cfg = ng.FlowPolicyConfig( - routing=ng.CostOnly(), - placement=ng.FlowPlacement.MAX_FLOW, - origin=ng.Origin.EQUAL, -) -assert_type(cfg.origin, ng.Origin | None) -cache = ng.DagCache(g) -opts = ng.QueryOptions(cfg, elig=None, cache=cache) -assert_type(opts.elig, ng.Eligibility | None) -placed: int = ng.capacity(g, 0, 3, opts).placed -batch = ng.batch_capacity(g, [(0, 3), ([0, 1], np.array([3]))], opts, workers=1) +# The evaluators, with optional arguments left out or None. Only ShortestPaths reads a cache; +# CentralizedTE names its source allocation. +controller = ng.ShortestPaths( + allocation=ng.RouteAllocation.OPTIMIZED, source_allocation=ng.SourceAllocation.EQUAL +) +assert_type(controller.source_allocation, ng.SourceAllocation | None) +cfg = ng.FlowPolicyConfig(routing=controller) +cache = ng.ShortestPathCache(g) +opts = ng.EvaluationOptions(cfg, eligibility=None, cache=cache) +assert_type(opts.eligibility, ng.Eligibility | None) +call_delivered: int = ng.evaluate_demand(g, 0, 3, opts).call_delivered +batch = ng.evaluate_pairs(g, [(0, 3), ([0, 1], np.array([3]))], opts, workers=1) assert_type(batch, list[ng.PlacementResult]) # Integer arrays serve as the pairs too: one row (sources, destinations) per pair, or one pair. -from_rows = ng.batch_capacity(g, np.array([[0, 3], [1, 3]], dtype=np.int64), opts) -from_pair = ng.batch_capacity(g, [np.array([0, 3], dtype=np.int64)], opts) +from_rows = ng.evaluate_pairs(g, np.array([[0, 3], [1, 3]], dtype=np.int64), opts) +from_pair = ng.evaluate_pairs(g, [np.array([0, 3], dtype=np.int64)], opts) assert_type(from_rows, list[ng.PlacementResult]) assert_type(from_pair, list[ng.PlacementResult]) -global_cfg = ng.FlowPolicyConfig(routing=ng.Global()) -sens = ng.sensitivity(g, 0, 3, ng.QueryOptions(global_cfg)) +global_cfg = ng.FlowPolicyConfig( + routing=ng.CentralizedTE(source_allocation=ng.SourceAllocation.OPTIMIZED) +) +sens = ng.evaluate_edge_failures(g, 0, 3, ng.EvaluationOptions(global_cfg)) for entry in sens.entries: - assert_type(entry.loss, int) + assert_type(entry.delivery_reduction, int) assert_type(cache.stats().hits, int) routing = global_cfg.routing -if isinstance(routing, ng.Global): +if isinstance(routing, ng.CentralizedTE): print("Global routing:", routing) -print(placed, len(batch), len(paths), ng.UNREACHABLE, ng.__version__) +print(call_delivered, len(batch), len(paths), ng.UNREACHABLE, ng.__version__) + +# CostStretch takes a Fraction, a float, a NumPy floating value or an integer; factor is a Fraction. +stretches = [ + ng.CostStretch(Fraction(6, 5)), + ng.CostStretch(1.2), + ng.CostStretch(np.float32(1.2)), + ng.CostStretch(2), +] +assert_type(stretches[0].factor, Fraction) From bf0e9f8337bb5e14b8ba4cb8cfd0bdb422ec689d Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Tue, 20 Oct 2026 00:17:56 +0100 Subject: [PATCH 19/39] Fixes from the step-4 audit An independent audit of steps 1 to 4 in four dimensions found these, all fixed here: the Python binding of the tunnel models checked an offer before refusing the operation; an allocation failure while reading an integer, a fraction, a list result or a hash raised TypeError or RuntimeError instead of MemoryError; identity counters and the forwarding network's 32-bit positions now refuse instead of overflowing; retired empty policies no longer stay in the owner registry. Two rules implemented twice now live in one place, an old split strategy that only tests reached is gone, public texts no longer promise more than the code does, and the removed-name test reads every kind of text. Co-Authored-By: Claude Opus 5.5 --- .github/workflows/release.yml | 8 +- .github/workflows/tests.yml | 10 +- CHANGELOG.md | 13 + CMakeLists.txt | 2 +- Makefile | 3 +- README.md | 9 +- bindings/python/evaluators.cpp | 6 +- bindings/python/flow_policy.cpp | 5 +- bindings/python/flow_record.cpp | 24 +- bindings/python/forwarding_program.cpp | 28 +- bindings/python/integers.hpp | 28 +- bindings/python/module.cpp | 2 +- bindings/python/options.cpp | 5 +- bindings/python/path.cpp | 10 +- bindings/python/path_enumeration.cpp | 13 +- bindings/python/placement_result.cpp | 67 ++-- bindings/python/predecessor_dag.cpp | 3 +- bindings/python/registration.hpp | 2 +- bindings/python/routing_models.cpp | 28 +- bindings/python/search.cpp | 2 +- bindings/python/shortest_path_cache.cpp | 11 +- bindings/python/trace.hpp | 24 +- bindings/python/values.hpp | 118 +++++- dev/cpp-tests.sh | 1 + dev/perf/README.md | 6 +- dev/perf/aba_api.hpp | 3 +- dev/pytest_guard.py | 336 ++++++++++++++++ dev/run-checks.sh | 187 +-------- dev/stubs/overrides.pyi | 24 +- dev/test_pytest_guard.py | 186 +++++++++ docs/semantics.md | 31 +- include/netgraph/core/detail/endpoints.hpp | 2 +- include/netgraph/core/detail/forwarding.hpp | 25 +- include/netgraph/core/detail/int128.hpp | 7 + .../netgraph/core/detail/ledger_access.hpp | 13 +- .../netgraph/core/detail/policy_engine.hpp | 3 + include/netgraph/core/detail/program_data.hpp | 2 +- .../netgraph/core/detail/route_kernels.hpp | 35 +- include/netgraph/core/detail/tunnel_setup.hpp | 5 - include/netgraph/core/detail/uid.hpp | 9 +- include/netgraph/core/flow_ledger.hpp | 4 +- include/netgraph/core/flow_policy.hpp | 3 +- include/netgraph/core/route_structures.hpp | 2 +- python/netgraph_core/__init__.pyi | 17 +- src/centralized_te_tunnels.cpp | 2 +- src/evaluators.cpp | 2 +- src/flow_ledger.cpp | 33 +- src/flow_policy.cpp | 50 +-- src/forwarding.cpp | 187 +++++---- src/forwarding_program.cpp | 2 +- src/graph.cpp | 28 +- src/min_cost_flow.cpp | 20 +- src/route_kernels.cpp | 31 +- src/search.cpp | 2 +- tests/cpp/centralized_te_tunnels_tests.cpp | 5 +- tests/cpp/distributed_te_tests.cpp | 14 +- tests/cpp/flow_ledger_fault_tests.cpp | 11 + tests/cpp/flow_ledger_tests.cpp | 145 ++++++- tests/cpp/graph_layout_tests.cpp | 28 +- tests/cpp/layout_checker.hpp | 16 +- tests/cpp/program_tests.cpp | 101 ++++- tests/cpp/route_kernels_tests.cpp | 376 +++--------------- tests/py/helpers.py | 21 +- tests/py/removed_names_reviewed.txt | 301 +++++++++++--- tests/py/source_allocation_oracle.py | 2 +- tests/py/test_centralized_te_tunnels.py | 18 +- tests/py/test_distributed_te.py | 45 ++- tests/py/test_flow_ledger.py | 2 +- tests/py/test_flow_policy.py | 10 +- tests/py/test_getter_allocation.py | 282 ++++++++++++- tests/py/test_ksp.py | 8 + tests/py/test_pooled.py | 2 +- tests/py/test_public_surface.py | 4 +- tests/py/test_removed_names.py | 308 +++++++++++--- tests/py/test_search.py | 4 +- tests/py/test_shortest_path_cache.py | 18 +- tests/py/test_source_allocation.py | 28 ++ tests/typing/valid_client.py | 2 +- 78 files changed, 2354 insertions(+), 1076 deletions(-) create mode 100644 dev/pytest_guard.py create mode 100644 dev/test_pytest_guard.py diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index caea445..47628d3 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -78,13 +78,11 @@ jobs: CIBW_ARCHS: "${{ matrix.cibw_archs }}" # The Python suite on every built wheel (the shipped configuration, hooks off; the # free-threaded cp314t wheels included): exactly the tests that need a hook skip. - # Windows runs pytest without dev/run-checks.sh, after the same check of the hook - # setting: the wheel lacks the private hooks. + # Windows runs the same guard as dev/run-checks.sh directly (no shell): the wheel lacks + # the private hooks and exactly the hook-only tests skip. CIBW_TEST_REQUIRES: "pytest==9.1.1" CIBW_TEST_COMMAND: "PYTHON=python bash {project}/dev/run-checks.sh pytest off -p no:cacheprovider" - CIBW_TEST_COMMAND_WINDOWS: >- - python -c "import sys, _netgraph_core as m; sys.exit('the wheel carries the private hooks' if hasattr(m, '_fail_native_allocation') else 0)" - && python -m pytest {project}/tests/py -p no:cacheprovider + CIBW_TEST_COMMAND_WINDOWS: "python {project}/dev/pytest_guard.py off {project}/tests/py -p no:cacheprovider" CIBW_BEFORE_ALL_LINUX: "yum install -y libatomic || (apt-get update && apt-get install -y libatomic1) || apk add libatomic" - uses: actions/upload-artifact@v4 diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index d7c41c9..fc3cc36 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -37,15 +37,11 @@ jobs: - name: Run CI checks (lint + C++ tests with and without the hooks + Python tests) if: runner.os != 'Windows' run: make check-ci - # Windows runs pytest without dev/run-checks.sh, so this step checks the hook setting that - # script would: the editable build carries the private hooks (no test then skips). A step of - # its own: PowerShell does not stop at a failing command inside one step. - - name: Check the editable build carries the private hooks (Windows) - if: runner.os == 'Windows' - run: python -c "import sys, _netgraph_core as m; sys.exit(0 if hasattr(m, '_fail_native_allocation') else 'the editable build lacks the private hooks')" + # Windows runs the Python tests through the guard dev/run-checks.sh uses, without the shell + # script: the editable build must carry the private hooks and no test may skip. - name: Run Python tests (Windows) if: runner.os == 'Windows' - run: python -m pytest tests/py/ -v + run: python dev/pytest_guard.py on tests/py -v # The timing tool of dev/perf compiles against the library (its adapter uses the public # API and two private functions of the queue rule), and nothing else builds it: its own # tests, which compile its driver with this checkout's library, run on one job, so a diff --git a/CHANGELOG.md b/CHANGELOG.md index 1c3e2f8..7707f38 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -242,6 +242,13 @@ API. next to `py.typed`. The stub carries the binding docstrings. `bash dev/stubs/run.sh generate` regenerates it; `make stubs-check` checks it against a fresh generation, the wheel and sdist contents, and typed client programs. +- **Results that change** against this release's earlier development snapshots, on purpose: a + zero-capacity link stays in routing, so a direct edge of capacity 0 and cost 1 beside a cost-2 + route makes the shortest cost 1 (was 2), and an equal LOSSLESS split that sends that edge its + share delivers 0 (was 5); pooled sources whose routes meet at a router split there jointly, so + two sources reaching two unit-capacity members deliver 2 with LOSSY (was 1); `CostStretch(1.2)` + is the exact fraction 6/5, so a baseline cost of 5 admits a path of cost 6 at equality and the + tunnel case that delivered 0 now delivers 1. ### Removed @@ -285,6 +292,8 @@ API. | `ForwardingProgram` | same name; new `from_dag` | | `Route` | `RouteDefinition` | | `QueryOptions` | `EvaluationOptions` | +| `CapacityOptions` | `EvaluationOptions` | +| `SensitivityOptions` | `EvaluationOptions` | | `capacity` | `evaluate_demand` | | `batch_capacity` | `evaluate_pairs` | | `sensitivity` | `evaluate_edge_failures` | @@ -421,6 +430,10 @@ API. | property | `Stretch.factor` (float) | `CostStretch.factor` (a `fractions.Fraction`) | | parameter | `Stretch.__init__:factor` float | a `Fraction`, an integer or a float read as `Fraction(str(f))` | | parameter | `QueryOptions.__init__:offered` (some models only) | `EvaluationOptions(offer=...)`, finite, every model | +| property | `FlowRecord.placement` | removed: the configuration selects the computation, the program the forwarding | +| property | `PlacementResult.local_outcomes` | removed: `by_source` carries the per-source accounting (no per-source termination) | +| method | `FlowPolicy.usable_bundles` | removed: inspect the program (`FlowPolicy.program`) | +| property | `Pinned.bundles` | `Pinned.program`, built by `ForwardingProgram.from_routes` or `from_dag` | C++ declarations and headers (C++ enum values are the Python words in PascalCase): diff --git a/CMakeLists.txt b/CMakeLists.txt index eabbbf2..f63ad81 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -204,7 +204,7 @@ if(NETGRAPH_CORE_BUILD_TESTS) include(GoogleTest) gtest_discover_tests(netgraph_core_tests) # These sweeps make about 19,000 and 13,000 injection attempts, each with a clean retry; - # sensitivity also creates and joins worker threads. Debug sanitizer runs on small runners + # evaluate_edge_failures also creates and joins worker threads. Debug sanitizer runs on small runners # can exceed the runner's 120-second default. Keep every attempt and allow ten minutes only # for these two tests; all other tests retain the runner's timeout. set(NETGRAPH_CORE_LONG_FAULT_TESTS diff --git a/Makefile b/Makefile index e48550e..feb6218 100644 --- a/Makefile +++ b/Makefile @@ -48,7 +48,7 @@ help: @echo "" @echo "Code Quality & Testing:" @echo " make check - Rebuild the editable extension, then everything check-ci runs" - @echo " make check-ci - Lint, fixture data check, C++ tests (hooks on and off), Python tests" + @echo " make check-ci - Lint, fixture data check, the pytest guard's rules, C++ tests (hooks on and off), Python tests" @echo " (the CI entrypoint)" @echo " (check and check-ci only verify: they never edit a file)" @echo " make lint - Run only linting (non-mutating: ruff + pyright)" @@ -142,6 +142,7 @@ check: check-ci: @$(MAKE) lint @$(PYTHON) -I -B tests/reference/policy/export_policy_fixtures.py --check + @$(PYTHON) -I -B dev/test_pytest_guard.py @$(MAKE) cpp-test @$(MAKE) cpp-test-off @PYTHON=$(PYTHON) bash dev/run-checks.sh pytest on diff --git a/README.md b/README.md index fed3ce9..1b032bc 100644 --- a/README.md +++ b/README.md @@ -83,8 +83,8 @@ specified in [docs/semantics.md](docs/semantics.md). `WEIGHTED`, `EQUAL`; `Admission`: `LOSSLESS`, `LOSSY`): `OPTIMIZED` re-solves the flow with the flow core on its route, over the free capacity plus its own allocation; `WEIGHTED` splits at every node in proportion to integer weights frozen when the route is prepared, from a - `WeightBasis` (`CAPACITY`, `EXPLICIT`, `RESIDUAL_SNAPSHOT`) (highest averages: whole-unit shares - as close to proportional as possible); `EQUAL` splits equally (round robin); `LOSSY` forwards hop + `WeightBasis` (`CAPACITY`, `EXPLICIT`, `RESIDUAL_SNAPSHOT`) (highest averages (D'Hondt): assign + each next unit to the largest weight / (assigned + 1), ties to the lower EdgeId); `EQUAL` splits equally (round robin); `LOSSY` forwards hop by hop and records what it drops. ### Policies @@ -117,8 +117,9 @@ specified in [docs/semantics.md](docs/semantics.md). single-path tunnels with one common whole-unit planned bandwidth: as large as possible, then (for a finite design) no larger than needed, then the cheapest routes, then with `prefer_headroom=True` the routes that leave the most spare capacity, then one fixed tie; - `TunnelCount(L, up_to=True)` chooses the smallest common count up to L that carries the - design; a `support` restricts the tunnels to its edges. The planned bandwidth is never held. + `TunnelCount(L, up_to=True)` chooses the smallest common count up to L whose program carries + the live heads' design shares (if none does, the largest live-share score, then the smallest + count; it does not promise whole-demand lossless delivery); a `support` restricts the tunnels to its edges. The planned bandwidth is never held. The source allocation is always stated. NetGraph's TE presets map onto it: `TE_ECMP_16_LSP` is `CentralizedTE(source_allocation=EQUAL, tunnel_count=TunnelCount(16))` and `TE_ECMP_UP_TO_256_LSP` the same with `TunnelCount(256, up_to=True)`, both with diff --git a/bindings/python/evaluators.cpp b/bindings/python/evaluators.cpp index f266890..6cb7bd3 100644 --- a/bindings/python/evaluators.cpp +++ b/bindings/python/evaluators.cpp @@ -131,8 +131,8 @@ void register_evaluators(py::module_& m) { py::class_(m, "SensitivityEntry", "One candidate edge: edge and delivery_reduction (int units: the baseline's delivery minus the\n" "delivery without the edge; signed).") - .def_readonly("edge", &SensitivityEntry::edge) - .def_readonly("delivery_reduction", &SensitivityEntry::delivery_reduction); + .def_property_readonly("edge", int_reader(&SensitivityEntry::edge)) + .def_property_readonly("delivery_reduction", int_reader(&SensitivityEntry::delivery_reduction)); py::class_(m, "SensitivityResult", "baseline (the PlacementResult of evaluate_demand()) and entries (ascending EdgeId; an\n" @@ -226,7 +226,7 @@ void register_evaluators(py::module_& m) { py::gil_scoped_release release; rs = detail::evaluate_pairs_in_call(*graph, ps, c, per, w, tally); } - py::list out(rs.size()); + auto out = py::reinterpret_steal(checked(PyList_New(static_cast(rs.size()))).release()); for (std::size_t i = 0; i < rs.size(); ++i) { PyList_SET_ITEM(out.ptr(), static_cast(i), object_of(std::move(rs[i])).release().ptr()); } diff --git a/bindings/python/flow_policy.cpp b/bindings/python/flow_policy.cpp index 65ec1aa..d779b6f 100644 --- a/bindings/python/flow_policy.cpp +++ b/bindings/python/flow_policy.cpp @@ -149,6 +149,8 @@ void register_flow_policy(py::module_& m) { .def( "place", [](FlowPolicy& p, const py::object& offer, const py::object& outputs) { + // The operation comes before the offer (the call's order). + detail::check_place_operation(detail::PolicyAccess::engine(p)); const auto v = request_units(offer); const auto o = outputs_of(outputs); // All or nothing across the boundary: the result's Python object exists before the @@ -262,13 +264,14 @@ void register_flow_policy(py::module_& m) { .def( "_place_traced", [](FlowPolicy& p, const py::object& offer, const py::object& outputs) { + detail::check_place_operation(detail::PolicyAccess::engine(p)); const auto v = request_units(offer); const auto o = outputs_of(outputs); // As place(): every Python object exists before anything changes; the engine runs the // `staged` callback, which converts the trace, after the work is done and before the // commit, so a failed conversion changes nothing. auto [obj, slot] = new_object(); - py::tuple pair(2); + auto pair = py::reinterpret_steal(checked(PyTuple_New(2)).release()); py::object trace_py; detail::Trace trace; const std::function staged = [&] { trace_py = trace_obj(trace); }; diff --git a/bindings/python/flow_record.cpp b/bindings/python/flow_record.cpp index d714018..8e6aff0 100644 --- a/bindings/python/flow_record.cpp +++ b/bindings/python/flow_record.cpp @@ -18,7 +18,7 @@ namespace netgraph::core::bindings { namespace { -py::object cost_or_none(Cost c) { return c == kUnreachable ? py::object(py::none()) : py::object(py::int_(c)); } +py::object cost_or_none(Cost c) { return c == kUnreachable ? py::object(py::none()) : py::object(int_object(c)); } } // namespace @@ -34,13 +34,17 @@ void register_flow_record(py::module_& m) { "may exceed 64 bits).") .def_property_readonly( - "flow_id", [](const FlowRecord& r) { return py::make_tuple(r.flow_id.first, r.flow_id.second); }, + "flow_id", [](const FlowRecord& r) { return int_pair(r.flow_id.first, r.flow_id.second); }, "(ledger uid, id): ids are assigned in creation order and never reused in the ledger") - .def_readonly("policy_id", &FlowRecord::policy_id, "the ledger-local id of the policy that created the flow") - .def_readonly("sources", &FlowRecord::sources, "the flow's source node ids, ascending") - .def_readonly("destinations", &FlowRecord::destinations, "the flow's destination node ids, ascending") + .def_property_readonly("policy_id", int_reader(&FlowRecord::policy_id), "the ledger-local id of the policy that created the flow") + .def_property_readonly( + "sources", [](const FlowRecord& r) { return ints_list(std::span(r.sources)); }, + "the flow's source node ids, ascending") + .def_property_readonly( + "destinations", [](const FlowRecord& r) { return ints_list(std::span(r.destinations)); }, + "the flow's destination node ids, ascending") .def_property_readonly("admission", field_object(&FlowRecord::admission), "LOSSLESS or LOSSY") - .def_readonly("entry_id", &FlowRecord::entry_id, + .def_property_readonly("entry_id", optional_int_reader(&FlowRecord::entry_id), "the program entry the record carries (T1, T2 and Pinned: the entry identifier); None for the\n" "records kept per roster source (ShortestPaths, CentralizedTE)") .def_property_readonly( @@ -58,17 +62,13 @@ void register_flow_record(py::module_& m) { }, "Lossy: the units offered to the flow, summed over calls (an exact int, may exceed 64 bits);\n" "None for a Lossless flow") - .def_readonly("delivered", &FlowRecord::delivered, "the units the flow delivers to its destinations (its total)") + .def_property_readonly("delivered", int_reader(&FlowRecord::delivered), "the units the flow delivers to its destinations (its total)") .def_property_readonly( "edge_flows", [](const FlowRecord& r) { return pairs_list(r.edge_flows); }, "the flow's allocation [(EdgeId, units)], positive entries in ascending EdgeId") .def_property_readonly( "edge_drops", - [](const FlowRecord& r) { - py::list out; - for (const auto& [e, x] : r.edge_drops) out.append(py::make_tuple(e, counter_int(x))); - return out; - }, + [](const FlowRecord& r) { return pairs_list(r.edge_drops); }, "Lossy: the units dropped per edge [(EdgeId, units)], summed over calls, positive entries in\n" "ascending EdgeId (exact ints); empty for a Lossless flow") .def_property_readonly( diff --git a/bindings/python/forwarding_program.cpp b/bindings/python/forwarding_program.cpp index 018967a..c978130 100644 --- a/bindings/python/forwarding_program.cpp +++ b/bindings/python/forwarding_program.cpp @@ -71,23 +71,23 @@ void register_program(py::module_& m) { "planned_bandwidth: T2's planned bandwidth\n" "u (metadata, never held; 0 for the other models); weight: its integer share among the head's\n" "entries (T1: 1 up, 0 down; T2: 1; a controller path: its solved amount).") - .def_readonly("entry_id", &Tunnel::entry_id) - .def_readonly("head", &Tunnel::head) - .def_readonly("local_index", &Tunnel::local_index) - .def_readonly("destination", &Tunnel::destination) + .def_property_readonly("entry_id", int_reader(&Tunnel::entry_id)) + .def_property_readonly("head", int_reader(&Tunnel::head)) + .def_property_readonly("local_index", int_reader(&Tunnel::local_index)) + .def_property_readonly("destination", optional_int_reader(&Tunnel::destination)) .def_property_readonly( "edges", [](const Tunnel& t) -> py::object { - return t.edges.has_value() ? py::object(py::tuple(py::cast(*t.edges))) : py::object(py::none()); + return t.edges.has_value() ? py::object(ints_tuple(*t.edges)) : py::object(py::none()); }, "the path's EdgeIds in path order; None for a tunnel that is down") - .def_readonly("path_cost", &Tunnel::path_cost) + .def_property_readonly("path_cost", optional_int_reader(&Tunnel::path_cost)) .def_property_readonly("status", [](const Tunnel& t) { return typed_object(t.status); }) - .def_readonly("requested_bandwidth", &Tunnel::requested_bandwidth) - .def_readonly("reserved_bandwidth", &Tunnel::reserved_bandwidth) - .def_readonly("planned_bandwidth", &Tunnel::planned_bandwidth) - .def_readonly("weight", &Tunnel::weight) + .def_property_readonly("requested_bandwidth", int_reader(&Tunnel::requested_bandwidth)) + .def_property_readonly("reserved_bandwidth", int_reader(&Tunnel::reserved_bandwidth)) + .def_property_readonly("planned_bandwidth", int_reader(&Tunnel::planned_bandwidth)) + .def_property_readonly("weight", int_reader(&Tunnel::weight)) .def("__repr__", [](const Tunnel& t) { return "Tunnel(entry_id=" + std::to_string(t.entry_id) + ", head=" + std::to_string(t.head) + ", weight=" + std::to_string(t.weight) + ")"; @@ -117,9 +117,9 @@ void register_program(py::module_& m) { py::arg("head"), py::arg("route"), py::kw_only(), py::arg("weight") = 1, "RouteDefinition(head, route, *, weight=1): head a NodeId, route a Path or a PredecessorDAG (TypeError\n" "otherwise), weight an integer (checked in [0, 2^62) by from_routes).") - .def_readonly("head", &RouteDefinition::head, "the route's head (a source of the program)") + .def_property_readonly("head", int_reader(&RouteDefinition::head), "the route's head (a source of the program)") .def_property_readonly("route", &route_obj, "the Path (a tunnel) or the PredecessorDAG (a split route)") - .def_readonly("weight", &RouteDefinition::weight, "the route's integer share among the head's routes") + .def_property_readonly("weight", int_reader(&RouteDefinition::weight), "the route's integer share among the head's routes") .def("__repr__", [](const RouteDefinition& r) { return "RouteDefinition(head=" + std::to_string(r.head) + ", weight=" + std::to_string(r.weight) + ")"; }); @@ -154,9 +154,7 @@ void register_program(py::module_& m) { [](const ForwardingProgram& p) -> py::object { const auto& w = p.source_weights(); if (!w.has_value()) return py::none(); - py::tuple out(w->size()); - for (std::size_t i = 0; i < w->size(); ++i) out[i] = py::make_tuple((*w)[i].first, (*w)[i].second); - return out; + return pairs_tuple(*w); }, "the captured source weights ((source, weight), ascending), or None for equal sources") .def_static( diff --git a/bindings/python/integers.hpp b/bindings/python/integers.hpp index d71e0b3..261ba63 100644 --- a/bindings/python/integers.hpp +++ b/bindings/python/integers.hpp @@ -1,6 +1,6 @@ /* Integer arguments from Python: Python ints, NumPy integer scalars and integer arrays, read - without narrowing (WideInts) and validated in the C++ constructors' order before any + without narrowing (CheckedIntegerVector) and validated in the C++ constructors' order before any conversion to the C++ types, so the reported error does not depend on how the input is represented; bools and floats are rejected, never truncated. Also the shape step of sequence arguments, the per-edge amount arrays and the node sets. @@ -35,9 +35,8 @@ inline bool is_bool(const py::handle& obj) { // models, TunnelCount, AbsoluteCost, RouteDefinition) or a search option or call argument. enum class IntegerArgument { Configuration, Call }; -// The one place that decides the class of a wrong-type integer (an open owner question, R3): -// a configuration value raises TypeError at construction, a search option or a -// call argument keeps today's ValueError; the text is the same. +// The one place that decides the class of a wrong-type integer: a configuration value raises +// TypeError at construction, a search option or a call argument ValueError; the text is the same. [[noreturn]] inline void throw_not_an_integer(const py::handle& item, const std::string& what, IntegerArgument where) { const std::string text = what + " must be an integer (got " + std::string(py::str(py::type::of(item).attr("__name__"))) + ")"; @@ -81,10 +80,17 @@ struct CheckedIntegerVector { std::vector overflow; // empty when no entry overflows [[nodiscard]] std::size_t size() const noexcept { return value.size(); } [[nodiscard]] int sign(std::size_t i) const noexcept { return overflow.empty() ? 0 : overflow[i]; } + // Entry i of the source as given, through a checked call (pybind11's int index reports a + // failed allocation as RuntimeError). + [[nodiscard]] py::object item(std::size_t i) const { + PyObject* o = PySequence_GetItem(source.ptr(), static_cast(i)); + if (o == nullptr) throw py::error_already_set(); + return py::reinterpret_steal(o); + } // The entry as Python prints it (exact also beyond int64). [[nodiscard]] std::string text(std::size_t i) const { if (sign(i) == 0) return std::to_string(value[i]); - return std::string(py::str(source[py::int_(i)])); + return std::string(py::str(item(i))); } [[nodiscard]] bool in(std::size_t i, std::int64_t lo, std::int64_t hi) const noexcept { return sign(i) == 0 && value[i] >= lo && value[i] <= hi; @@ -92,8 +98,8 @@ struct CheckedIntegerVector { // The entry as an exact Python int (an overflowing entry compared with another). The entry is // converted again here, so its __index__ may now fail: that exception propagates as raised. [[nodiscard]] py::object exact(std::size_t i) const { - py::object item = source[py::int_(i)]; - py::object idx = py::reinterpret_steal(PyNumber_Index(item.ptr())); + py::object entry = item(i); + py::object idx = py::reinterpret_steal(PyNumber_Index(entry.ptr())); if (!idx) throw py::error_already_set(); return idx; } @@ -248,8 +254,12 @@ inline std::vector checked_ids(const CheckedIntegerVector& ids, std::int // A node set: one NodeId or a sequence of them. inline std::vector node_ids(const py::object& obj, std::int32_t num_nodes, const char* name) { if (!is_bool(obj) && PyIndex_Check(obj.ptr()) && !py::isinstance(obj)) { - py::list one; - one.append(obj); + // A one-entry list made through a checked allocation (pybind11's list constructor reports a + // failed allocation as RuntimeError). + PyObject* raw = PyList_New(1); + if (raw == nullptr) throw py::error_already_set(); + auto one = py::reinterpret_steal(raw); + PyList_SET_ITEM(raw, 0, obj.inc_ref().ptr()); return checked_ids(wide_integers(one, name), num_nodes, name); } return checked_ids(wide_integers(obj, name), num_nodes, name); diff --git a/bindings/python/module.cpp b/bindings/python/module.cpp index 77531e8..409d08a 100644 --- a/bindings/python/module.cpp +++ b/bindings/python/module.cpp @@ -11,7 +11,7 @@ - Graph accessors return read-only NumPy views that keep the graph alive (no per-call copy). - Integer inputs (capacities, costs, ids, views, caps) must be integers: Python ints, NumPy integer scalars or integer arrays; floats and bools are rejected with ValueError, never - truncated. Values are read without narrowing (WideInts) and validated in the C++ + truncated. Values are read without narrowing and validated in the C++ constructors' order before any conversion to the C++ types. Physical values enter only through to_units; the resolution is validated before anything else. - std::invalid_argument from Core maps to ValueError; enumeration values outside their diff --git a/bindings/python/options.cpp b/bindings/python/options.cpp index fa13dc4..32845a4 100644 --- a/bindings/python/options.cpp +++ b/bindings/python/options.cpp @@ -19,8 +19,9 @@ void register_options(py::module_& m) { "OPTIMIZED: the minimum-cost flow core over the routes (a controller restricted to them), re-solved\n" "over the free capacity plus the policy's own allocation (it may move its own earlier placement,\n" "never another's). WEIGHTED (WCMP, weighted-cost multipath): every node splits in proportion to\n" - "weights fixed when the routes are prepared (highest averages: whole-unit shares as close to\n" - "proportional as possible; the weights come from WeightBasis). EQUAL (ECMP, equal-cost\n" + "weights fixed when the routes are prepared (highest averages (D'Hondt): assign each next unit\n" + "to the largest weight / (assigned + 1), ties to the lower EdgeId; the weights come from\n" + "WeightBasis). EQUAL (ECMP, equal-cost\n" "multipath): every node splits equally, by round robin.") .value("EQUAL", RouteAllocation::Equal) .value("WEIGHTED", RouteAllocation::Weighted) diff --git a/bindings/python/path.cpp b/bindings/python/path.cpp index 0ddece9..0be048f 100644 --- a/bindings/python/path.cpp +++ b/bindings/python/path.cpp @@ -12,6 +12,7 @@ #include "netgraph/core/route_structures.hpp" #include "integers.hpp" #include "registration.hpp" +#include "values.hpp" namespace py = pybind11; @@ -65,9 +66,12 @@ void register_path(py::module_& m) { }) .def("__hash__", [](const Path& a) { - py::list hops; - for (const auto& hop : a.hops()) hops.append(py::tuple(py::cast(hop))); - return py::hash(py::make_tuple(a.graph_uid(), py::tuple(hops))); + const auto& path_hops = a.hops(); + auto hops = py::reinterpret_steal(checked(PyTuple_New(static_cast(path_hops.size()))).release()); + for (std::size_t i = 0; i < path_hops.size(); ++i) { + PyTuple_SET_ITEM(hops.ptr(), static_cast(i), ints_tuple(path_hops[i]).release().ptr()); + } + return hash_int(objects_tuple({int_object(a.graph_uid()), hops})); }) .def("__repr__", [](const Path& a) { return "Path(source=" + std::to_string(a.source()) + ", destination=" + std::to_string(a.destination()) + diff --git a/bindings/python/path_enumeration.cpp b/bindings/python/path_enumeration.cpp index 88e1a9c..ea05ff0 100644 --- a/bindings/python/path_enumeration.cpp +++ b/bindings/python/path_enumeration.cpp @@ -127,15 +127,12 @@ void register_paths(py::module_& m) { py::gil_scoped_release release; paths = ksp(*graph, s, t, c); } - // Every object through a checked allocation: a failure raises. - py::list out(paths.size()); + // Every object through a checked allocation: a failure raises MemoryError. + auto out = py::reinterpret_steal(checked(PyList_New(static_cast(paths.size()))).release()); for (std::size_t i = 0; i < paths.size(); ++i) { - py::tuple item(2); - py::int_ cost(paths[i].first); + py::object cost = int_object(paths[i].first); py::object path = object_from(std::move(paths[i].second)); - PyTuple_SET_ITEM(item.ptr(), 0, cost.release().ptr()); - PyTuple_SET_ITEM(item.ptr(), 1, path.release().ptr()); - PyList_SET_ITEM(out.ptr(), static_cast(i), item.release().ptr()); + PyList_SET_ITEM(out.ptr(), static_cast(i), objects_tuple({cost, path}).release().ptr()); } return out; }, @@ -168,7 +165,7 @@ void register_paths(py::module_& m) { py::gil_scoped_release release; paths = resolve_to_paths(*graph, *dag, s, t, split_parallel_edges, mp); } - py::list out(paths.size()); + auto out = py::reinterpret_steal(checked(PyList_New(static_cast(paths.size()))).release()); for (std::size_t i = 0; i < paths.size(); ++i) { PyList_SET_ITEM(out.ptr(), static_cast(i), object_from(std::move(paths[i])).release().ptr()); } diff --git a/bindings/python/placement_result.cpp b/bindings/python/placement_result.cpp index 4c8952e..0124923 100644 --- a/bindings/python/placement_result.cpp +++ b/bindings/python/placement_result.cpp @@ -34,19 +34,13 @@ const char* termination_name(Termination t) { } py::object inf_or(const std::optional& r) { - return r.has_value() ? py::object(py::int_(*r)) : py::object(py::float_(std::numeric_limits::infinity())); + return r.has_value() ? py::object(int_object(*r)) : py::object(float_object(std::numeric_limits::infinity())); } py::object counter_or_none(const std::optional& c) { return c.has_value() ? counter_int(*c) : py::object(py::none()); } -py::list counter_pairs(const std::vector>& v) { - py::list out; - for (const auto& [e, x] : v) out.append(py::make_tuple(e, counter_int(x))); - return out; -} - // fractions.Fraction, imported once when the module is registered: TunnelPlan.max_fractional_bandwidth_per_tunnel only // calls it (an import inside a getter can absorb a failed allocation and still succeed). py::gil_safe_call_once_and_store& fraction_class() { @@ -79,7 +73,7 @@ void register_placement_result(py::module_& m) { "LOSSLESS), admitted (LOSSLESS: what it delivers; LOSSY: offered), delivered, source_drops\n" "(offered units lost at the source for lack of a usable route) and total_edge_drops (its losses\n" "on links). LOSSY: offered = delivered + source_drops + total_edge_drops. Exact ints.") - .def_readonly("source", &SourceFlow::source, "the source node id") + .def_property_readonly("source", int_reader(&SourceFlow::source), "the source node id") .def_property_readonly( "offered", [](const SourceFlow& r) { return counter_or_none(r.offered); }, @@ -88,7 +82,7 @@ void register_placement_result(py::module_& m) { "admitted", [](const SourceFlow& r) { return counter_int(r.admitted); }, "LOSSLESS: the units it delivers; LOSSY: offered") - .def_readonly("delivered", &SourceFlow::delivered, "the units it delivers to the destinations") + .def_property_readonly("delivered", int_reader(&SourceFlow::delivered), "the units it delivers to the destinations") .def_property_readonly( "source_drops", [](const SourceFlow& r) { return counter_int(r.source_drops); }, "LOSSY: its offered units lost at the source (no usable route); 0 when LOSSLESS") @@ -106,8 +100,8 @@ void register_placement_result(py::module_& m) { "injections: LOSSY the shares sent to it, LOSSLESS what it carries), delivered and\n" "total_edge_drops (its losses on links). Exact ints (assigned and total_edge_drops may exceed 64\n" "bits).") - .def_readonly("entry_id", &TunnelFlow::entry_id, "the tunnel's entry identifier") - .def_readonly("head", &TunnelFlow::head, "the tunnel's head") + .def_property_readonly("entry_id", int_reader(&TunnelFlow::entry_id), "the tunnel's entry identifier") + .def_property_readonly("head", int_reader(&TunnelFlow::head), "the tunnel's head") .def_property_readonly("status", field_object(&TunnelFlow::status), "UP, a down tunnel's setup status (INSUFFICIENT_BANDWIDTH, COST_CEILING_EXCEEDED), FAILED or\n" "BLACKHOLED in this forwarding") @@ -115,7 +109,7 @@ void register_placement_result(py::module_& m) { "assigned", [](const TunnelFlow& r) { return counter_int(r.assigned); }, "its share of the injections in the epoch (LOSSY: sent to it; LOSSLESS: what it carries)") - .def_readonly("delivered", &TunnelFlow::delivered, "the units it delivers") + .def_property_readonly("delivered", int_reader(&TunnelFlow::delivered), "the units it delivers") .def_property_readonly( "total_edge_drops", [](const TunnelFlow& r) { return counter_int(r.total_edge_drops); }, "its units dropped on links") .def("__repr__", [](const TunnelFlow& r) { @@ -133,7 +127,7 @@ void register_placement_result(py::module_& m) { "total_planned_bandwidth (K*u), total_tunnel_cost (the route-cost sum, can exceed 2^64),\n" "headroom_penalty (with prefer_headroom only) and max_lossless_offer (the program's lossless\n" "maximum; a dead head's share blocks it). Exact ints.") - .def_readonly("tunnels_per_head", &TunnelPlan::tunnels_per_head, "the tunnels per head (T2 up to: the chosen count)") + .def_property_readonly("tunnels_per_head", int_reader(&TunnelPlan::tunnels_per_head), "the tunnels per head (T2 up to: the chosen count)") .def_property_readonly( "design_demand", [](const TunnelPlan& p) { return inf_or(p.design_demand); }, @@ -141,7 +135,7 @@ void register_placement_result(py::module_& m) { .def_property_readonly( "design_by_head", [](const TunnelPlan& p) { return pairs_tuple(p.design_by_head); }, "((head, share), ...): every roster head's share RR(D, H, i), ascending NodeId") - .def_readonly("total_reserved_bandwidth", &TunnelPlan::total_reserved_bandwidth, + .def_property_readonly("total_reserved_bandwidth", int_reader(&TunnelPlan::total_reserved_bandwidth), "the strict holds of the up tunnels, each tunnel's request counted once") .def_property_readonly( "heads_with_capacity", @@ -156,12 +150,13 @@ void register_placement_result(py::module_& m) { "max_fractional_bandwidth_per_tunnel", [](const TunnelPlan& p) -> py::object { if (!p.max_fractional_bandwidth_per_tunnel.has_value()) return py::none(); - return fraction_class().get_stored()(p.max_fractional_bandwidth_per_tunnel->first, p.max_fractional_bandwidth_per_tunnel->second); + const auto& [n, d] = *p.max_fractional_bandwidth_per_tunnel; + return fraction_object(fraction_class().get_stored(), n, d); }, "T2: the exact fluid optimum s* (a fractions.Fraction; 0 without a live head); None for T1") - .def_readonly("max_bandwidth_per_tunnel", &TunnelPlan::max_bandwidth_per_tunnel, "T2: U, the largest common whole-unit size") - .def_readonly("planned_bandwidth_per_tunnel", &TunnelPlan::planned_bandwidth_per_tunnel, "T2: u, every tunnel's planned bandwidth") - .def_readonly("total_planned_bandwidth", &TunnelPlan::total_planned_bandwidth, "T2: K*u over the K tunnels") + .def_property_readonly("max_bandwidth_per_tunnel", optional_int_reader(&TunnelPlan::max_bandwidth_per_tunnel), "T2: U, the largest common whole-unit size") + .def_property_readonly("planned_bandwidth_per_tunnel", optional_int_reader(&TunnelPlan::planned_bandwidth_per_tunnel), "T2: u, every tunnel's planned bandwidth") + .def_property_readonly("total_planned_bandwidth", optional_int_reader(&TunnelPlan::total_planned_bandwidth), "T2: K*u over the K tunnels") .def_property_readonly( "total_tunnel_cost", [](const TunnelPlan& p) -> py::object { return p.total_tunnel_cost.has_value() ? counter_int(*p.total_tunnel_cost) : py::none(); }, @@ -174,7 +169,7 @@ void register_placement_result(py::module_& m) { }, "T2 with prefer_headroom: the sum over the links' tunnel slots j of floor(2^32 (B - V + j*u) / B)\n" "(B: static capacity; V: free capacity); None without prefer_headroom and for T1") - .def_readonly("max_lossless_offer", &TunnelPlan::max_lossless_offer, + .def_property_readonly("max_lossless_offer", optional_int_reader(&TunnelPlan::max_lossless_offer), "T2: F, the program's lossless maximum on the call's view (a dead head's share blocks it)") .def("__repr__", [](const TunnelPlan& p) { return "TunnelPlan(tunnels_per_head=" + std::to_string(p.tunnels_per_head) + ", total_reserved_bandwidth=" + std::to_string(p.total_reserved_bandwidth) + ")"; @@ -200,18 +195,18 @@ void register_placement_result(py::module_& m) { "zero. Optional outputs, None unless requested: edge_flows, residual and edge_reservations\n" "(int64[E]), saturated_boundary_edges, min_cut (they describe the same\n" "state; evaluate: the evaluated one). Amounts that accumulate are exact ints (they may exceed 64 bits).") - .def_readonly("call_delivered", &PlacementResult::call_delivered, "the units placed (delivered) by this call") + .def_property_readonly("call_delivered", int_reader(&PlacementResult::call_delivered), "the units placed (delivered) by this call") .def_property_readonly( "call_undelivered", [](const PlacementResult& r) { return inf_or(r.call_undelivered); }, "the request minus call_delivered, in units (an amount, not a status); float('inf') for an infinite\n" "request") - .def_readonly("delivery_delta", &PlacementResult::delivery_delta, + .def_property_readonly("delivery_delta", int_reader(&PlacementResult::delivery_delta), "the delivery after the call minus before it (call_delivered for a placement; may be negative\n" "for a full-offer call)") .def_property_readonly( "call_edge_drops", [](const PlacementResult& r) { return pairs_list(r.call_edge_drops); }, "this call's drops on links [(EdgeId, units)], ascending EdgeId (empty unless LOSSY)") - .def_readonly("call_source_drops", &PlacementResult::call_source_drops, + .def_property_readonly("call_source_drops", int_reader(&PlacementResult::call_source_drops), "this call's offered units lost at sources without a usable route (LOSSY)") .def_property_readonly("termination", field_object(&PlacementResult::termination), "the call's outcome (Termination)") .def_readonly("routes_changed", &PlacementResult::routes_changed, @@ -242,7 +237,7 @@ void register_placement_result(py::module_& m) { "requested", [](const PlacementResult& r) -> py::object { return r.requested.has_value() ? counter_int(*r.requested) - : py::object(py::float_(std::numeric_limits::infinity())); + : py::object(float_object(std::numeric_limits::infinity())); }, "the sum of the epoch's requests; float('inf') after an infinite one") .def_property_readonly( @@ -254,7 +249,7 @@ void register_placement_result(py::module_& m) { "admitted", [](const PlacementResult& r) { return counter_int(r.admitted); }, "LOSSLESS: the total carried; LOSSY: offered") - .def_readonly("delivered", &PlacementResult::delivered, "the units the demand delivers") + .def_property_readonly("delivered", int_reader(&PlacementResult::delivered), "the units the demand delivers") .def_property_readonly( "unadmitted", [](const PlacementResult& r) { return counter_or_none(r.unadmitted); }, @@ -263,7 +258,7 @@ void register_placement_result(py::module_& m) { "source_drops", [](const PlacementResult& r) { return counter_int(r.source_drops); }, "LOSSY: the offered units lost at sources (no usable route, or an empty roster); 0 when LOSSLESS") .def_property_readonly( - "edge_drops", [](const PlacementResult& r) { return counter_pairs(r.edge_drops); }, + "edge_drops", [](const PlacementResult& r) { return pairs_list(r.edge_drops); }, "the epoch's drops on links [(EdgeId, units)], ascending EdgeId (empty unless LOSSY)") .def_property_readonly( @@ -278,7 +273,13 @@ void register_placement_result(py::module_& m) { "total_cost", [](const PlacementResult& r) { return counter_or_none(r.total_cost); }, "controllers (CentralizedTE, ShortestPaths OPTIMIZED): the exact sum of cost * flow over the policy's\n" "allocation; None for the other models (T1, T2, Pinned)") - .def_readonly("marginal_cost_curve", &PlacementResult::marginal_cost_curve, + .def_property_readonly( + "marginal_cost_curve", + [](const PlacementResult& r) { + using Curve = py::typing::List>; + return py::reinterpret_steal>( + r.marginal_cost_curve ? pairs_list(*r.marginal_cost_curve).release() : py::none().release()); + }, "unrestricted CentralizedTE with the optimized source allocation: the marginal cost curve [(cost, units)] of the policy's\n" "cumulative flow (a zero call reports it unchanged; None before the epoch's first positive\n" "call); in ascending cost, delivering `units` more raised the minimum total flow cost by `cost`\n" @@ -306,11 +307,21 @@ void register_placement_result(py::module_& m) { }, "if requested: the policy's own strict holds per edge after the call (int64[E], EdgeId order; zeros\n" "for a model without holds), else None") - .def_readonly("saturated_boundary_edges", &PlacementResult::saturated_boundary_edges, + .def_property_readonly( + "saturated_boundary_edges", + [](const PlacementResult& r) { + return py::reinterpret_steal>>( + r.saturated_boundary_edges ? ints_list(std::span(*r.saturated_boundary_edges)).release() : py::none().release()); + }, "if requested: the ledger's saturation report after the call\n" "(FlowLedger.saturated_boundary_edges of the " "policy's sources and Eligibility), else None") - .def_readonly("min_cut", &PlacementResult::min_cut, + .def_property_readonly( + "min_cut", + [](const PlacementResult& r) { + return py::reinterpret_steal>>( + r.min_cut ? ints_list(std::span(*r.min_cut)).release() : py::none().release()); + }, "if requested (OutputOptions(min_cut=True)), unrestricted CentralizedTE with the optimized source allocation, when the solve\n" "reached the maximum flow: the minimum cut closest to the sources, every allowed edge leaving\n" "the nodes the roster sources reach in the residual network (free capacity plus the policy's\n" diff --git a/bindings/python/predecessor_dag.cpp b/bindings/python/predecessor_dag.cpp index 6c1c185..c64a33f 100644 --- a/bindings/python/predecessor_dag.cpp +++ b/bindings/python/predecessor_dag.cpp @@ -115,8 +115,7 @@ void register_predecessor_dag(py::module_& m) { return py::isinstance(b) && a == b.cast(); }) .def("__hash__", [](const PredecessorDAG& a) { - return py::hash(py::make_tuple(a.graph_uid(), py::tuple(py::cast(std::vector(a.via_edges().begin(), - a.via_edges().end()))))); + return hash_int(objects_tuple({int_object(a.graph_uid()), ints_tuple(a.via_edges())})); }) .def("__repr__", [](const PredecessorDAG& a) { return "PredecessorDAG(graph_uid=" + std::to_string(a.graph_uid()) + ", entries=" + diff --git a/bindings/python/registration.hpp b/bindings/python/registration.hpp index dd262dc..fceeecc 100644 --- a/bindings/python/registration.hpp +++ b/bindings/python/registration.hpp @@ -26,7 +26,7 @@ void register_path(pybind11::module_& m); // Path void register_flow_record(pybind11::module_& m); // FlowRecord void register_flow_ledger(pybind11::module_& m); // FlowLedger void register_program(pybind11::module_& m); // TunnelStatus, Tunnel, RouteDefinition, ForwardingProgram -void register_routing(pybind11::module_& m); // AbsoluteCost, CostStretch, Tunnels, the four routings +void register_routing(pybind11::module_& m); // AbsoluteCost, CostStretch, TunnelCount, the four routings void register_policy_config(pybind11::module_& m); // FlowPolicyConfig, OutputOptions void register_placement_result(pybind11::module_& m); // Termination, SourceFlow, TunnelFlow, PlacementResult void register_shortest_path_cache(pybind11::module_& m); // ShortestPathCacheStats, ShortestPathCacheMiss, ShortestPathCache diff --git a/bindings/python/routing_models.cpp b/bindings/python/routing_models.cpp index 121640d..79f30cf 100644 --- a/bindings/python/routing_models.cpp +++ b/bindings/python/routing_models.cpp @@ -136,9 +136,9 @@ void register_routing(py::module_& m) { "AbsoluteCost cost")}; }), py::arg("cost"), "AbsoluteCost(cost): a 64-bit integer budget in cost units (checked >= 0 where it is used)") - .def_readonly("cost", &AbsoluteCost::cost, "the budget: a path qualifies when its cost is at most this") + .def_property_readonly("cost", int_reader(&AbsoluteCost::cost), "the budget: a path qualifies when its cost is at most this") .def("__eq__", [](const AbsoluteCost& a, const py::object& b) { return py::isinstance(b) && a == b.cast(); }) - .def("__hash__", [](const AbsoluteCost& a) { return py::hash(py::make_tuple("AbsoluteCost", a.cost)); }) + .def("__hash__", [](const AbsoluteCost& a) { return hash_int(objects_tuple({str_object("AbsoluteCost"), int_object(a.cost)})); }) .def("__repr__", [](const AbsoluteCost& a) { return "AbsoluteCost(" + std::to_string(a.cost) + ")"; }); py::class_(m, "CostStretch", @@ -155,13 +155,13 @@ void register_routing(py::module_& m) { .def_property_readonly( "factor", [](const CostStretch& a) { - return py::module_::import("fractions").attr("Fraction")(a.numerator(), a.denominator()); + return fraction_object(py::module_::import("fractions").attr("Fraction"), a.numerator(), a.denominator()); }, "the factor as a fractions.Fraction (built on each access)") .def("__eq__", [](const CostStretch& a, const py::object& b) { return py::isinstance(b) && a == b.cast(); }) .def("__hash__", [](const CostStretch& a) { - return py::hash(py::module_::import("fractions").attr("Fraction")(a.numerator(), a.denominator())); + return hash_int(fraction_object(py::module_::import("fractions").attr("Fraction"), a.numerator(), a.denominator())); }) .def("__repr__", [](const CostStretch& a) { return "CostStretch(Fraction(" + std::to_string(a.numerator()) + ", " + std::to_string(a.denominator()) + "))"; @@ -170,7 +170,9 @@ void register_routing(py::module_& m) { py::class_(m, "TunnelCount", "The tunnel count of T1 (DistributedTE) and T2, per head: per_head in [1, 10000] (checked when a\n" "policy or an evaluator uses it). up_to=True (T2 only; T1 rejects it): one common count k in\n" - "1..per_head for every head, the smallest that delivers the design.") + "1..per_head for every head: the smallest common count whose program carries the live heads'\n" + "design shares; if none does, the largest live-share score, then the smallest count. It does not\n" + "promise whole-demand lossless delivery.") .def(py::init([](const py::object& count, StrictBool up_to) { return TunnelCount {int_field(count, std::numeric_limits::min(), std::numeric_limits::max(), "TunnelCount per_head"), @@ -180,10 +182,13 @@ void register_routing(py::module_& m) { "TunnelCount(per_head, *, up_to=False): a 64-bit integer per_head (a bool, a float or None raises\n" "TypeError and an integer outside 64 bits ValueError here; [1, 10000] is checked where it is\n" "used) and a bool") - .def_readonly("per_head", &TunnelCount::per_head, "the tunnels per head (the largest count for up_to)") - .def_readonly("up_to", &TunnelCount::up_to, "True: the smallest sufficient count up to per_head (T2 only)") + .def_property_readonly("per_head", int_reader(&TunnelCount::per_head), "the tunnels per head (the largest count for up_to)") + .def_readonly("up_to", &TunnelCount::up_to, "True: the smallest count up to per_head whose program carries the live heads' design shares (else the\n" + "best live-share score, then the smallest); T2 only") .def("__eq__", [](const TunnelCount& a, const py::object& b) { return py::isinstance(b) && a == b.cast(); }) - .def("__hash__", [](const TunnelCount& a) { return py::hash(py::make_tuple("TunnelCount", a.per_head, a.up_to)); }) + .def("__hash__", [](const TunnelCount& a) { + return hash_int(objects_tuple({str_object("TunnelCount"), int_object(a.per_head), py::bool_(a.up_to)})); + }) .def("__repr__", [](const TunnelCount& a) { return "TunnelCount(" + std::to_string(a.per_head) + (a.up_to ? ", up_to=True)" : ")"); }); @@ -237,7 +242,7 @@ void register_routing(py::module_& m) { "the explicit weights (one int per edge, a tuple), or None") .def_property_readonly("tie_break", field_object(&ShortestPaths::tie_break), "the RouteTieBreak of equal-cost choices") .def_readonly("multipath", &ShortestPaths::multipath, - "True: every equal-cost route; False: the one canonical path per destination") + "True: every equal-cost route; False: one canonical path per roster source toward the destination set") .def_readonly("parallel_edges", &ShortestPaths::parallel_edges, "True: every eligible parallel edge; False: one per (u, v) pair by the tie rule") .def("__repr__", [](const ShortestPaths& sp) { @@ -294,7 +299,7 @@ void register_routing(py::module_& m) { return std::visit([](const auto& x) { return object_of(x); }, *ca.cost_ceiling); }, "the inclusive route cost ceiling (AbsoluteCost or CostStretch); None: no ceiling") - .def_readonly("min_unreserved_bandwidth", &DistributedTE::min_unreserved_bandwidth, + .def_property_readonly("min_unreserved_bandwidth", int_reader(&DistributedTE::min_unreserved_bandwidth), "units in [0, 2^62): a search minimum only (each attempt keeps the links with at least\n" "max(request, this) unreserved units), never a reservation") .def_property_readonly("tie_break", field_object(&DistributedTE::tie_break), "the RouteTieBreak of the CSPF choice") @@ -330,7 +335,8 @@ void register_routing(py::module_& m) { "whole-unit planned bandwidth: first as large as possible (U), then for a finite design no larger\n" "than needed (u), then the cheapest routes, then with prefer_headroom=True the routes that leave\n" "the most spare capacity, then one fixed unit-by-unit tie. TunnelCount(L, up_to=True): the smallest\n" - "common count k <= L whose program carries the design (else the best, then the smallest).\n" + "common count k <= L whose program carries the live heads' design shares (else the largest\n" + "live-share score, then the smallest count); no promise of whole-demand lossless delivery.\n" "Traffic splits equally over the heads and over each head's tunnels; planned bandwidth is never\n" "held.") .def(py::init([](SourceAllocation source_allocation, const py::object& support, const py::object& tunnels, diff --git a/bindings/python/search.cpp b/bindings/python/search.cpp index 4046e50..decf447 100644 --- a/bindings/python/search.cpp +++ b/bindings/python/search.cpp @@ -180,7 +180,7 @@ void register_search(py::module_& m) { } slot->dag = object_from(std::move(result->dag)); if (result->target_cost.has_value() && *result->target_cost != kUnreachable) { - slot->target_cost = py::int_(*result->target_cost); + slot->target_cost = int_object(*result->target_cost); } return std::move(obj); }, diff --git a/bindings/python/shortest_path_cache.cpp b/bindings/python/shortest_path_cache.cpp index 74fd74b..7b4c993 100644 --- a/bindings/python/shortest_path_cache.cpp +++ b/bindings/python/shortest_path_cache.cpp @@ -8,6 +8,7 @@ #include "netgraph/core/shortest_path_cache.hpp" #include "netgraph/core/graph.hpp" #include "registration.hpp" +#include "values.hpp" namespace py = pybind11; @@ -17,12 +18,12 @@ void register_shortest_path_cache(py::module_& m) { py::class_(m, "ShortestPathCacheStats", "ShortestPathCache statistics (atomic per field, not a consistent snapshot): hits, misses,\n" "entries, bytes (the entries' retained payload), live_values (values alive anywhere).") - .def_readonly("hits", &ShortestPathCache::Stats::hits, "lookups answered from an entry (they persist across clear())") - .def_readonly("misses", &ShortestPathCache::Stats::misses, + .def_property_readonly("hits", int_reader(&ShortestPathCache::Stats::hits), "lookups answered from an entry (they persist across clear())") + .def_property_readonly("misses", int_reader(&ShortestPathCache::Stats::misses), "lookups without an entry: a building cache searched, a frozen one raised ShortestPathCacheMiss") - .def_readonly("entries", &ShortestPathCache::Stats::entries, "the entries held") - .def_readonly("bytes", &ShortestPathCache::Stats::bytes, "the retained payload of the entries (their DAGs' stored arrays)") - .def_readonly("live_values", &ShortestPathCache::Stats::live_values, "the cached values alive anywhere, entries included"); + .def_property_readonly("entries", int_reader(&ShortestPathCache::Stats::entries), "the entries held") + .def_property_readonly("bytes", int_reader(&ShortestPathCache::Stats::bytes), "the retained payload of the entries (their DAGs' stored arrays)") + .def_property_readonly("live_values", int_reader(&ShortestPathCache::Stats::live_values), "the cached values alive anywhere, entries included"); py::register_exception(m, "ShortestPathCacheMiss", PyExc_Exception); m.attr("ShortestPathCacheMiss").attr("__doc__") = diff --git a/bindings/python/trace.hpp b/bindings/python/trace.hpp index 33eef25..f2d36fd 100644 --- a/bindings/python/trace.hpp +++ b/bindings/python/trace.hpp @@ -14,34 +14,36 @@ #include #include "netgraph/core/detail/trace.hpp" +#include "values.hpp" namespace py = pybind11; namespace netgraph::core::bindings { // A trace value as Python objects (map keys that are decimal integers become ints: the maps -// keyed by source NodeId). +// keyed by source NodeId), each made through a checked C API call: a failed allocation raises +// MemoryError (pybind11's int, str, list and dict constructors report it as RuntimeError). inline py::object trace_obj(const detail::Trace& t) { using K = detail::Trace::Kind; switch (t.kind) { case K::Null: return py::none(); case K::Bool: return py::bool_(t.b); - case K::Int: return py::int_(t.i); - case K::Str: return py::str(t.s); + case K::Int: return checked(PyLong_FromLongLong(t.i)); + case K::Str: return checked(PyUnicode_FromStringAndSize(t.s.data(), static_cast(t.s.size()))); case K::List: { - py::list out; - for (const auto& x : t.items) out.append(trace_obj(x)); + py::object out = checked(PyList_New(0)); + for (const auto& x : t.items) { + if (PyList_Append(out.ptr(), trace_obj(x).ptr()) != 0) throw py::error_already_set(); + } return out; } case K::Map: { - py::dict out; + py::object out = checked(PyDict_New()); for (const auto& [k, x] : t.fields) { const bool digits = !k.empty() && std::all_of(k.begin(), k.end(), [](char ch) { return ch >= '0' && ch <= '9'; }); - if (digits) { - out[py::int_(std::stoll(k))] = trace_obj(x); - } else { - out[py::str(k)] = trace_obj(x); - } + const py::object key = digits ? checked(PyLong_FromLongLong(std::stoll(k))) + : checked(PyUnicode_FromStringAndSize(k.data(), static_cast(k.size()))); + if (PyDict_SetItem(out.ptr(), key.ptr(), trace_obj(x).ptr()) != 0) throw py::error_already_set(); } return out; } diff --git a/bindings/python/values.hpp b/bindings/python/values.hpp index deabec1..0113996 100644 --- a/bindings/python/values.hpp +++ b/bindings/python/values.hpp @@ -8,14 +8,17 @@ #include #include #include +#include #include #include #include #include +#include #include #include #include +#include #include #include @@ -67,6 +70,109 @@ inline py::object counter_int(const Counter128& c) { return checked(PyNumber_Or(high.ptr(), lo.ptr())); } +// The readers of fields and properties build every Python value below through the checked C API +// (a new reference, or the pending MemoryError raised). pybind11's own conversions report a failed +// allocation as another class: its return conversion of a C++ value as TypeError, its int, float, +// list and tuple constructors as RuntimeError. + +// An integer (any integer type but bool) or a 128-bit counter as a Python int. +template +py::int_ int_object(T v) { + static_assert(std::is_integral_v && !std::is_same_v); + PyObject* o = nullptr; + if constexpr (std::is_signed_v) { + o = PyLong_FromLongLong(static_cast(v)); + } else { + o = PyLong_FromUnsignedLongLong(static_cast(v)); + } + return py::reinterpret_steal(checked(o).release()); +} +inline py::int_ int_object(const Counter128& c) { return py::reinterpret_steal(counter_int(c).release()); } + +inline py::float_ float_object(double v) { return py::reinterpret_steal(checked(PyFloat_FromDouble(v)).release()); } + +// None, or the value as a Python int. +template +py::typing::Optional optional_int(const std::optional& v) { + return py::reinterpret_steal>(v.has_value() ? int_object(*v).release() : py::none().release()); +} + +// The reader of an integer field, and of an optional one (None when absent). +template +auto int_reader(T C::*field) { + return [field](const C& c) { return int_object(c.*field); }; +} +template +auto optional_int_reader(std::optional C::*field) { + return [field](const C& c) { return optional_int(c.*field); }; +} + +// (a, b) as a tuple of two Python ints. +template +py::typing::Tuple int_pair(const A& a, const B& b) { + py::object x = int_object(a); + py::object y = int_object(b); + PyObject* out = checked(PyTuple_New(2)).release().ptr(); + PyTuple_SET_ITEM(out, 0, x.release().ptr()); + PyTuple_SET_ITEM(out, 1, y.release().ptr()); + return py::reinterpret_steal>(out); +} + +// Integers as a list of Python ints. +template +py::typing::List ints_list(std::span v) { + auto out = py::reinterpret_steal>(checked(PyList_New(static_cast(v.size()))).release()); + for (std::size_t i = 0; i < v.size(); ++i) PyList_SET_ITEM(out.ptr(), static_cast(i), int_object(v[i]).release().ptr()); + return out; +} + +// (a, b) pairs as a list (Out: its pybind11 type, which names the stub's type) or a tuple of +// two-int tuples. +template +Out pairs_list(const std::vector>& v) { + auto out = py::reinterpret_steal(checked(PyList_New(static_cast(v.size()))).release()); + for (std::size_t i = 0; i < v.size(); ++i) { + PyList_SET_ITEM(out.ptr(), static_cast(i), int_pair(v[i].first, v[i].second).release().ptr()); + } + return out; +} +template +py::tuple pairs_tuple(const std::vector>& v) { + auto out = py::reinterpret_steal(checked(PyTuple_New(static_cast(v.size()))).release()); + for (std::size_t i = 0; i < v.size(); ++i) { + PyTuple_SET_ITEM(out.ptr(), static_cast(i), int_pair(v[i].first, v[i].second).release().ptr()); + } + return out; +} + +// A tuple of the given objects (made by the caller), through a checked allocation. +inline py::tuple objects_tuple(std::initializer_list items) { + auto out = py::reinterpret_steal(checked(PyTuple_New(static_cast(items.size()))).release()); + Py_ssize_t i = 0; + for (const auto& item : items) PyTuple_SET_ITEM(out.ptr(), i++, item.inc_ref().ptr()); + return out; +} + +// fraction_type(n, d) (fractions.Fraction): the two ints through checked allocations and the call +// through the C API, so a failure of the call raises as raised. +inline py::object fraction_object(const py::handle& fraction_type, std::int64_t n, std::int64_t d) { + const py::object num = int_object(n); + const py::object den = int_object(d); + return checked(PyObject_CallFunctionObjArgs(fraction_type.ptr(), num.ptr(), den.ptr(), nullptr)); +} + +// A str through a checked allocation. +inline py::str str_object(const char* text) { return py::reinterpret_steal(checked(PyUnicode_FromString(text)).release()); } + +// The hash of `key` as a Python int: a failure of the hash raises as raised, and the int is made +// through a checked allocation (pybind11's return conversion of a hash reports a failed +// allocation as TypeError). +inline py::int_ hash_int(const py::handle& key) { + const Py_hash_t h = PyObject_Hash(key.ptr()); + if (h == -1 && PyErr_Occurred() != nullptr) throw py::error_already_set(); + return int_object(static_cast(h)); +} + // Integers as a tuple of Python ints. inline py::tuple ints_tuple(std::span v) { auto out = py::reinterpret_steal(checked(PyTuple_New(static_cast(v.size()))).release()); @@ -114,18 +220,6 @@ inline FlowId flow_id_of(const py::object& obj) { return FlowId {static_cast(u), static_cast(i)}; } -inline py::list pairs_list(const std::vector>& v) { - py::list out; - for (const auto& [e, x] : v) out.append(py::make_tuple(e, x)); - return out; -} - -// ((id, amount), ...) as a tuple (TunnelPlan.design_by_head). -inline py::tuple pairs_tuple(const std::vector>& v) { - py::tuple out(v.size()); - for (std::size_t i = 0; i < v.size(); ++i) out[i] = py::make_tuple(v[i].first, v[i].second); - return out; -} // An amount argument: an integer number of units in [0, 2^62) or +inf (float('inf')); nullopt is // +inf. Any other value (a bool, another float, a non-integer, an integer out of range) raises the diff --git a/dev/cpp-tests.sh b/dev/cpp-tests.sh index 52e7375..353d785 100644 --- a/dev/cpp-tests.sh +++ b/dev/cpp-tests.sh @@ -28,6 +28,7 @@ cd "$(dirname "${BASH_SOURCE[0]}")/.." EXPECTED_OFF_SKIPS=" FlowCoreDeletion.CheckpointsEqualTheIterativeUpdate FlowCoreDeletion.RerunningTheFailedSearchAddsExactlyOneSearch +ForwardingSize.TheCallChecksEachCountInOrder GraphLayout.CombinedKeyPassesOnlyBelowNTimesKEqualsE GraphLayout.HashAndFallbackBoundaryAt65536DistinctCosts GraphLayout.ProbeBudgetFallbackInCollectionAndGrowth diff --git a/dev/perf/README.md b/dev/perf/README.md index f5ae256..33a68b5 100644 --- a/dev/perf/README.md +++ b/dev/perf/README.md @@ -316,10 +316,10 @@ failed. | `kernel` | `kernel.{proportional,eb,lossy}.clos`, `kernel.{proportional,eb}.grid`, `kernel.weighted.clos` | placements on fixed cost-only DAGs into one ledger | | `capacity` | `capacity.costonly_{eb,prop}.failures` | ShortestPaths capacity over 32 failure states x 8 pairs | | `maxflow` | `maxflow.exact.{totals,detailed}` | exact maximum flow over 8 failure states x 4 pairs | -| `sensitivity` | `sens.exact`, `sens.policy_all_edges`, `sens.equal_global` | exact-model sensitivity; policy-model loss for every eligible edge; equal-source-allocation Global, every edge solved afresh | +| `sensitivity` | `sens.exact`, `sens.policy_all_edges`, `sens.equal_global` | exact-model sensitivity; policy-model loss for every eligible edge; equal-source-allocation CentralizedTE, every edge solved afresh | | `pooled` | `pooled.{ecmp,lossy}.clos`, `pooled.from_dag.clos`, `pooled.from_dag_build.clos` | 8 demands of 8 pooled sources on one ledger, Lossless / Lossy above capacity; the same demands by Pinned over prebuilt `from_dag` programs, and building those programs | -| `global` | `global.equal.random` | equal-source-allocation Global capacity, 2 demands of 4 sources | -| `program` | `program.forward.global`, `program.replay.lossy`, `program.stale.lossy`, `program.replace.costonly` | forwarding programs: a Global program forwarded, replayed under failures (Lossy), stale under black holes, ShortestPaths re-prepared by replace | +| `global` | `global.equal.random` | equal-source-allocation CentralizedTE capacity, 2 demands of 4 sources | +| `program` | `program.forward.global`, `program.replay.lossy`, `program.stale.lossy`, `program.replace.costonly` | forwarding programs: a CentralizedTE program forwarded, replayed under failures (Lossy), stale under black holes, ShortestPaths re-prepared by replace | | `t1` | `t1.setup.fabric`, `t1.forward.fabric` | T1 with 16 tunnels per head, 12 demands on one ledger: the setup with its holds; the installed programs forwarded under 32 offers | | `t2` | `t2.exact16.headroom`, `t2.exact16.cost`, `t2.upto256.headroom`, `t2.size.mesh` | T2 on the same fabric and demands: 16 tunnels per head with and without `prefer_headroom`, up to 256 with it; 16 tunnels for 10 heads on a 500-node mesh (2000 links, 5/8 to 8/8 free), sizing-dominated | | `msd` | `msd.loop` | the maximum-supported-demand bracket and bisection with a per-series DAG cache | diff --git a/dev/perf/aba_api.hpp b/dev/perf/aba_api.hpp index b00f641..ca77343 100644 --- a/dev/perf/aba_api.hpp +++ b/dev/perf/aba_api.hpp @@ -523,7 +523,8 @@ inline Masks masks(const Graph& g, const std::vector>& states) } // A status as a fixed code, so a digest does not move when the enum gains or reorders values: -// Up 0, Failed 1, Blackholed 2 (the codes of every older Core), NoBandwidth 3, CostCeiling 4. +// Up 0, Failed 1, Blackholed 2 (the codes of every older Core), InsufficientBandwidth 3, +// CostCeilingExceeded 4. inline std::int64_t status_code(nc::TunnelStatus s) { switch (s) { case nc::TunnelStatus::Up: return 0; diff --git a/dev/pytest_guard.py b/dev/pytest_guard.py new file mode 100644 index 0000000..c28aa89 --- /dev/null +++ b/dev/pytest_guard.py @@ -0,0 +1,336 @@ +"""The Python suite with the check of what it imported and skipped: dev/run-checks.sh runs it for +`pytest on` and `pytest off`, and the Windows CI jobs run it directly (no shell there): + + python dev/pytest_guard.py on|off [PYTEST_ARGS...] + +on: the extension carries the private hooks (the editable development build) and no test skips. +off: an installation without them (a wheel, or a build from the sdist), imported from outside +the source tree, and exactly the tests that need a hook skip (EXPECTED_OFF_SKIPS, and every +replay of the reference fixtures). A small plugin records the skipped node ids (tests, and modules +or classes skipped while collected) and the imported modules; the arguments are pytest's. Exit status: pytest's when it fails, else 1 when a check +fails (each problem printed), else 0.""" + +from __future__ import annotations + +import os +import sys +from pathlib import Path + +ROOT = Path(__file__).resolve().parents[1] + +# The Python tests that need the private hooks and skip without them, by pytest node id; every +# replay of the fixtures produced by the reference under tests/reference/policy/ (the +# parametrizations of test_fixture) skips as well. +EXPECTED_OFF_SKIPS = [ + "tests/py/test_apportionment.py::test_apportionment_entries", + ( + "tests/py/test_shortest_path_cache.py::test_frozen_statistics_survive_python_allocation_failures" + ), + "tests/py/test_shortest_path_cache.py::test_the_frozen_sweep_rejects_a_wrong_call", + "tests/py/test_flow_ledger.py::test_a_flow_id_read_passes_an_allocation_failure_through", + "tests/py/test_flow_policy.py::test_evaluator_results_survive_python_allocation_failures", + "tests/py/test_flow_policy.py::test_owner_hook_is_the_owner_of_the_records", + "tests/py/test_flow_policy.py::test_python_publication_is_all_or_nothing[False-costonly]", + "tests/py/test_flow_policy.py::test_python_publication_is_all_or_nothing[False-global]", + "tests/py/test_flow_policy.py::test_python_publication_is_all_or_nothing[True-costonly]", + "tests/py/test_flow_policy.py::test_python_publication_is_all_or_nothing[True-global]", + "tests/py/test_flow_policy_fixtures.py::test_a_corrupted_expectation_fails[ledger]", + "tests/py/test_flow_policy_fixtures.py::test_a_corrupted_expectation_fails[policy]", + "tests/py/test_flow_policy_fixtures.py::test_a_corrupted_expectation_fails[result]", + "tests/py/test_flow_policy_fixtures.py::test_a_corrupted_expectation_fails[trace]", + ( + "tests/py/test_flow_policy_fixtures.py::test_an_expected_value_of_another_type_fails[bool as integer]" + ), + ( + "tests/py/test_flow_policy_fixtures.py::test_an_expected_value_of_another_type_fails[integer as float]" + ), + "tests/py/test_flow_policy_fixtures.py::test_every_other_replay_clause_reports_its_operation", + "tests/py/test_getter_allocation.py::test_every_read_survives_python_allocation_failures", + "tests/py/test_getter_allocation.py::test_every_number_read_raises_memory_error", + "tests/py/test_getter_allocation.py::test_a_failed_integer_read_raises_memory_error", + "tests/py/test_ksp.py::test_python_result_lists_are_all_or_nothing", + "tests/py/test_native_allocation.py::test_allocation_hooks_preserve_exception_identity", + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[Eligibility.intersect]" + ), + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[FlowLedger.reset]" + ), + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[FlowRecord.route]" + ), + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[PlacementResult.program]" + ), + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[evaluate_pairs.global]" + ), + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[evaluate_pairs.global_equal]" + ), + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[capacity.frozen_cache]" + ), + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[capacity.global]" + ), + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[capacity.pinned_lossy]" + ), + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[evaluate.global]" + ), + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[forward.costonly_pooled_lossy_black_holes]" + ), + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[from_dag]" + ), + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[from_routes]" + ), + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[ksp]" + ), + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[place.costonly]" + ), + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[place.costonly_pooled_lossy]" + ), + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[place.global]" + ), + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[place.global_equal]" + ), + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[place.pinned_split_route]" + ), + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[place_traced.global]" + ), + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[replace.global_support]" + ), + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[replace.pinned_tunnels_lossy]" + ), + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[resolve_to_paths]" + ), + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[sensitivity.global]" + ), + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[sensitivity.pinned]" + ), + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[spf.full]" + ), + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[spf.single_path]" + ), + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[spf.targets_residual]" + ), + "tests/py/test_native_allocation.py::test_the_row_checks_reject_a_wrong_call", + "tests/py/test_programs.py::test_from_routes_and_getters_survive_python_allocation_failures", + "tests/py/test_programs.py::test_operations_are_all_or_nothing[costonly forward]", + "tests/py/test_programs.py::test_operations_are_all_or_nothing[costonly replace]", + "tests/py/test_programs.py::test_operations_are_all_or_nothing[global evaluate]", + "tests/py/test_programs.py::test_operations_are_all_or_nothing[pinned replace]", + "tests/py/test_search.py::test_python_result_construction_is_all_or_nothing", + "tests/py/test_search.py::test_the_python_allocation_sweep_rejects_a_wrong_call", + "tests/py/test_distributed_te.py::test_traced_place_checks_the_operation_first", + ( + "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[ca.tunnel_count]" + ), + ( + "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[fg.record(fid)]" + ), + ( + "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[fg.records()]" + ), + ( + "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[fg.reserved()]" + ), + ( + "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[fg.unreserved()]" + ), + ( + "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[p.record(fid)]" + ), + ( + "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[p.records()]" + ), + ( + "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[r.plan.design_by_head]" + ), + "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[r.plan]", + ( + "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[r.program.tunnels]" + ), + ( + "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[repr(abs3)]" + ), + ( + "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[repr(st2)]" + ), + ( + "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[st2.cost_ceiling.factor]" + ), + ( + "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[st2.cost_ceiling]" + ), + ( + "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[cfg.routing]" + ), + "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[repr(r)]", + "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[repr(sp)]", + ( + "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[t0.status]" + ), + "tests/py/test_distributed_te.py::test_t1_results_survive_python_allocation_failures[evaluate]", + "tests/py/test_distributed_te.py::test_t1_results_survive_python_allocation_failures[forward]", + "tests/py/test_distributed_te.py::test_t1_results_survive_python_allocation_failures[replace]", + "tests/py/test_centralized_te_tunnels.py::test_traced_place_checks_the_operation_first", + ( + "tests/py/test_centralized_te_tunnels.py::test_t2_getters_survive_python_allocation_failures[gl.tunnel_count]" + ), + ( + "tests/py/test_centralized_te_tunnels.py::test_t2_getters_survive_python_allocation_failures[repr(r)]" + ), + ( + "tests/py/test_centralized_te_tunnels.py::test_t2_getters_survive_python_allocation_failures[r.plan.max_fractional_bandwidth_per_tunnel]" + ), + ( + "tests/py/test_centralized_te_tunnels.py::test_t2_getters_survive_python_allocation_failures[r.plan.headroom_penalty]" + ), + ( + "tests/py/test_centralized_te_tunnels.py::test_t2_getters_survive_python_allocation_failures[r.plan.heads_with_capacity]" + ), + ( + "tests/py/test_centralized_te_tunnels.py::test_t2_getters_survive_python_allocation_failures[r.plan.total_tunnel_cost]" + ), + ( + "tests/py/test_centralized_te_tunnels.py::test_t2_getters_survive_python_allocation_failures[r.plan]" + ), + ( + "tests/py/test_centralized_te_tunnels.py::test_t2_getters_survive_python_allocation_failures[r.program.tunnels]" + ), + ( + "tests/py/test_centralized_te_tunnels.py::test_t2_results_survive_python_allocation_failures[evaluate]" + ), + ( + "tests/py/test_centralized_te_tunnels.py::test_t2_results_survive_python_allocation_failures[forward]" + ), + ( + "tests/py/test_centralized_te_tunnels.py::test_t2_results_survive_python_allocation_failures[replace]" + ), +] +EXPECTED_OFF_SKIPPED_PREFIX = "tests/py/test_flow_policy_fixtures.py::test_fixture[" + + +class Record: + """The run as the checks read it: the node ids seen, the skipped ones with their reasons.""" + + def __init__(self): + self.seen, self.skipped = set(), {} + + def skip(self, report): + r = report.longrepr + self.skipped[report.nodeid] = str(r[-1] if isinstance(r, tuple) else r) + + def pytest_runtest_logreport(self, report): + self.seen.add(report.nodeid) + if report.skipped: + self.skip(report) + + def pytest_collectreport(self, report): + # A module or a class skipped while collected (pytest.skip(allow_module_level=True), + # pytest.importorskip) runs no test: its collection report is its only record. + if report.skipped: + self.skip(report) + + +def problems(hooks, has_hooks, modules, seen, skipped, root=ROOT): + """The checks of one run (hooks: "on" or "off"; modules: the files of _netgraph_core and + netgraph_core as imported, None when not imported); returns the problems found.""" + out = [] + if None in modules: + out.append(f"netgraph_core or _netgraph_core was not imported: {modules}") + if hooks == "on": + if not has_hooks: + out.append( + "the extension lacks the private hooks (expected the editable build)" + ) + if skipped: + out.append( + f"{len(skipped)} tests skipped in a hooks-on run: {sorted(skipped)}" + ) + return out + if has_hooks: + out.append( + "the extension carries the private hooks (expected a wheel or sdist build)" + ) + inside = [ + m + for m in modules + if m and os.path.realpath(m).startswith(os.path.realpath(root) + os.sep) + ] + if inside: + out.append(f"imported from the source tree, not an installation: {inside}") + replays = {n for n in seen if n.startswith(EXPECTED_OFF_SKIPPED_PREFIX)} + if not replays: + out.append(f"no test {EXPECTED_OFF_SKIPPED_PREFIX}...] ran") + want = set(EXPECTED_OFF_SKIPS) | replays + got = set(skipped) + out += [f"expected to skip, did not: {n}" for n in sorted(want - got)] + out += [f"skipped, not a known hook-only test: {n}" for n in sorted(got - want)] + out += [ + f"skipped for another reason: {n}: {r}" + for n, r in sorted(skipped.items()) + if "needs the private hooks" not in r + ] + return out + + +def main(argv): + if not argv or argv[0] not in ("on", "off"): + print( + "usage: python dev/pytest_guard.py on|off [PYTEST_ARGS...]", file=sys.stderr + ) + return 2 + import pytest + + hooks, record = argv[0], Record() + status = pytest.main(argv[1:], plugins=[record]) + if status != 0: + return int(status) + ext = sys.modules.get("_netgraph_core") + pkg = sys.modules.get("netgraph_core") + modules = [getattr(ext, "__file__", None), getattr(pkg, "__file__", None)] + found = problems( + hooks, + hasattr(ext, "_fail_native_allocation"), + modules, + record.seen, + record.skipped, + ) + for p in found: + print(f"dev/pytest_guard.py: {p}", file=sys.stderr) + if found: + return 1 + if hooks == "off": + print( + f"hooks off: exactly the {len(record.skipped)} expected hook-only tests skipped;" + f" imported {modules[0]}" + ) + else: + print(f"hooks on: no test skipped; imported {modules[0]}") + return 0 + + +if __name__ == "__main__": + sys.exit(main(sys.argv[1:])) diff --git a/dev/run-checks.sh b/dev/run-checks.sh index 7e958ab..a778d5d 100755 --- a/dev/run-checks.sh +++ b/dev/run-checks.sh @@ -7,7 +7,8 @@ # private hooks (the editable development build): no test may skip. (make check-ci) # bash dev/run-checks.sh pytest off [PYTEST_ARGS...] # The Python suite against an installed, non-editable netgraph_core without the hooks (a -# wheel, or a build from the sdist): exactly the tests that need a hook skip. (release CI) +# wheel, or a build from the sdist): exactly the tests that need a hook skip, listed in +# dev/pytest_guard.py, which runs and checks both modes. (release CI) # bash dev/run-checks.sh cov # C++ and Python coverage (make cov): a coverage venv of its own (build/coverage-venv, pinned # by .github/ci-constraints.txt; the development venv is not touched), the extension and the @@ -28,105 +29,7 @@ JOBS=${CMAKE_BUILD_PARALLEL_LEVEL:-4} case "$JOBS" in ''|*[!0-9]*|0) echo 'CMAKE_BUILD_PARALLEL_LEVEL must be positive.' >&2; exit 2 ;; esac export CMAKE_BUILD_PARALLEL_LEVEL=$JOBS -# The Python tests that need the private hooks and skip without them, by pytest node id, one per -# line (an id can contain spaces); every replay of the fixtures produced by the reference under -# tests/reference/policy/ (the parametrizations of test_fixture) skips as well. -EXPECTED_OFF_SKIPS=" -tests/py/test_apportionment.py::test_apportionment_entries -tests/py/test_shortest_path_cache.py::test_frozen_statistics_survive_python_allocation_failures -tests/py/test_shortest_path_cache.py::test_the_frozen_sweep_rejects_a_wrong_call -tests/py/test_flow_ledger.py::test_a_flow_id_read_passes_an_allocation_failure_through -tests/py/test_flow_policy.py::test_evaluator_results_survive_python_allocation_failures -tests/py/test_flow_policy.py::test_owner_hook_is_the_owner_of_the_records -tests/py/test_flow_policy.py::test_python_publication_is_all_or_nothing[False-costonly] -tests/py/test_flow_policy.py::test_python_publication_is_all_or_nothing[False-global] -tests/py/test_flow_policy.py::test_python_publication_is_all_or_nothing[True-costonly] -tests/py/test_flow_policy.py::test_python_publication_is_all_or_nothing[True-global] -tests/py/test_flow_policy_fixtures.py::test_a_corrupted_expectation_fails[ledger] -tests/py/test_flow_policy_fixtures.py::test_a_corrupted_expectation_fails[policy] -tests/py/test_flow_policy_fixtures.py::test_a_corrupted_expectation_fails[result] -tests/py/test_flow_policy_fixtures.py::test_a_corrupted_expectation_fails[trace] -tests/py/test_flow_policy_fixtures.py::test_an_expected_value_of_another_type_fails[bool as integer] -tests/py/test_flow_policy_fixtures.py::test_an_expected_value_of_another_type_fails[integer as float] -tests/py/test_flow_policy_fixtures.py::test_every_other_replay_clause_reports_its_operation -tests/py/test_getter_allocation.py::test_every_read_survives_python_allocation_failures -tests/py/test_ksp.py::test_python_result_lists_are_all_or_nothing -tests/py/test_native_allocation.py::test_allocation_hooks_preserve_exception_identity -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[Eligibility.intersect] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[FlowLedger.reset] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[FlowRecord.route] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[PlacementResult.program] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[evaluate_pairs.global] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[evaluate_pairs.global_equal] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[capacity.frozen_cache] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[capacity.global] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[capacity.pinned_lossy] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[evaluate.global] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[forward.costonly_pooled_lossy_black_holes] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[from_dag] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[from_routes] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[ksp] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[place.costonly] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[place.costonly_pooled_lossy] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[place.global] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[place.global_equal] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[place.pinned_split_route] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[place_traced.global] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[replace.global_support] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[replace.pinned_tunnels_lossy] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[resolve_to_paths] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[sensitivity.global] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[sensitivity.pinned] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[spf.full] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[spf.single_path] -tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[spf.targets_residual] -tests/py/test_native_allocation.py::test_the_row_checks_reject_a_wrong_call -tests/py/test_programs.py::test_from_routes_and_getters_survive_python_allocation_failures -tests/py/test_programs.py::test_operations_are_all_or_nothing[costonly forward] -tests/py/test_programs.py::test_operations_are_all_or_nothing[costonly replace] -tests/py/test_programs.py::test_operations_are_all_or_nothing[global evaluate] -tests/py/test_programs.py::test_operations_are_all_or_nothing[pinned replace] -tests/py/test_search.py::test_python_result_construction_is_all_or_nothing -tests/py/test_search.py::test_the_python_allocation_sweep_rejects_a_wrong_call -tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[ca.tunnel_count] -tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[fg.record(fid)] -tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[fg.records()] -tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[fg.reserved()] -tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[fg.unreserved()] -tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[p.record(fid)] -tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[p.records()] -tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[r.plan.design_by_head] -tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[r.plan] -tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[r.program.tunnels] -tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[repr(abs3)] -tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[repr(st2)] -tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[st2.cost_ceiling.factor] -tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[st2.cost_ceiling] -tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[cfg.routing] -tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[repr(r)] -tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[repr(sp)] -tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[t0.status] -tests/py/test_distributed_te.py::test_t1_results_survive_python_allocation_failures[evaluate] -tests/py/test_distributed_te.py::test_t1_results_survive_python_allocation_failures[forward] -tests/py/test_distributed_te.py::test_t1_results_survive_python_allocation_failures[replace] -tests/py/test_centralized_te_tunnels.py::test_t2_getters_survive_python_allocation_failures[gl.tunnel_count] -tests/py/test_centralized_te_tunnels.py::test_t2_getters_survive_python_allocation_failures[repr(r)] -tests/py/test_centralized_te_tunnels.py::test_t2_getters_survive_python_allocation_failures[r.plan.max_fractional_bandwidth_per_tunnel] -tests/py/test_centralized_te_tunnels.py::test_t2_getters_survive_python_allocation_failures[r.plan.headroom_penalty] -tests/py/test_centralized_te_tunnels.py::test_t2_getters_survive_python_allocation_failures[r.plan.heads_with_capacity] -tests/py/test_centralized_te_tunnels.py::test_t2_getters_survive_python_allocation_failures[r.plan.total_tunnel_cost] -tests/py/test_centralized_te_tunnels.py::test_t2_getters_survive_python_allocation_failures[r.plan] -tests/py/test_centralized_te_tunnels.py::test_t2_getters_survive_python_allocation_failures[r.program.tunnels] -tests/py/test_centralized_te_tunnels.py::test_t2_results_survive_python_allocation_failures[evaluate] -tests/py/test_centralized_te_tunnels.py::test_t2_results_survive_python_allocation_failures[forward] -tests/py/test_centralized_te_tunnels.py::test_t2_results_survive_python_allocation_failures[replace] -" -EXPECTED_OFF_SKIPPED_PREFIX='tests/py/test_flow_policy_fixtures.py::test_fixture[' - - die() { echo "dev/run-checks.sh: $*" >&2; exit 1; } -TMP=$(mktemp -d) -trap 'rm -rf "$TMP"' EXIT if [[ "$(uname -s)" == Darwin ]]; then CC=$(xcrun --find clang) @@ -135,89 +38,11 @@ if [[ "$(uname -s)" == Darwin ]]; then export MACOSX_DEPLOYMENT_TARGET="${MACOSX_DEPLOYMENT_TARGET:-15.0}" fi -# run_pytest on|off [PYTEST_ARGS...]: the suite, then the check of what was imported and skipped. -# A small plugin records the skipped node ids and the imported modules (PYTEST_ADDOPTS and its -# reports stay the caller's). +# run_pytest on|off [PYTEST_ARGS...]: the suite, then the check of what was imported and skipped +# (dev/pytest_guard.py, which the Windows CI jobs run directly; PYTEST_ADDOPTS and its reports stay +# the caller's). run_pytest() { - local hooks=$1 tmp=$TMP/pytest; shift - rm -rf "$tmp"; mkdir -p "$tmp" - cat > "$tmp/ngc_skip_record.py" <<'PY' -import json -import os -import sys - -_seen, _skipped = set(), {} - - -def pytest_runtest_logreport(report): - _seen.add(report.nodeid) - if report.skipped: - _skipped[report.nodeid] = str(report.longrepr[-1] if isinstance(report.longrepr, tuple) else report.longrepr) - - -def pytest_sessionfinish(session, exitstatus): - ext = sys.modules.get("_netgraph_core") - pkg = sys.modules.get("netgraph_core") - record = { - "seen": sorted(_seen), - "skipped": _skipped, - "hooks": hasattr(ext, "_fail_native_allocation"), - "modules": [getattr(ext, "__file__", None), getattr(pkg, "__file__", None)], - } - with open(os.environ["NGC_SKIP_RECORD"], "w") as f: - json.dump(record, f) -PY - NGC_SKIP_RECORD="$tmp/record.json" PYTHONPATH="$tmp${PYTHONPATH:+:$PYTHONPATH}" \ - "$PYTHON" -m pytest -p ngc_skip_record "$@" - [[ -s "$tmp/record.json" ]] || die "pytest wrote no record of its run" - echo "$EXPECTED_OFF_SKIPS" | sed '/^$/d' > "$tmp/expected.txt" - "$PYTHON" - "$hooks" "$tmp/record.json" "$tmp/expected.txt" "$EXPECTED_OFF_SKIPPED_PREFIX" "$ROOT" <<'PY' -import json -import os -import sys - -hooks, record_path, expected_path, prefix, root = sys.argv[1:] -record = json.load(open(record_path)) -# One node id per line: an id can hold spaces (a parametrization id such as "[integer as -# float]"), so the list is never split on other whitespace. -with open(expected_path) as f: - expected = {line.strip() for line in f if line.strip()} -skipped = record["skipped"] -problems = [] -if None in record["modules"]: - problems.append(f"netgraph_core or _netgraph_core was not imported: {record['modules']}") -if hooks == "on": - if not record["hooks"]: - problems.append("the extension lacks the private hooks (expected the editable build)") - if skipped: - problems.append(f"{len(skipped)} tests skipped in a hooks-on run: {sorted(skipped)}") -else: - if record["hooks"]: - problems.append("the extension carries the private hooks (expected a wheel or sdist build)") - inside = [m for m in record["modules"] if m and os.path.realpath(m).startswith(os.path.realpath(root) + os.sep)] - if inside: - problems.append(f"imported from the source tree, not an installation: {inside}") - replays = {n for n in record["seen"] if n.startswith(prefix)} - if not replays: - problems.append(f"no test {prefix}...] ran") - want = expected | replays - got = set(skipped) - for name in sorted(want - got): - problems.append(f"expected to skip, did not: {name}") - for name in sorted(got - want): - problems.append(f"skipped, not a known hook-only test: {name}") - for name, reason in sorted(skipped.items()): - if "needs the private hooks" not in reason: - problems.append(f"skipped for another reason: {name}: {reason}") -for p in problems: - print(f"dev/run-checks.sh: {p}", file=sys.stderr) -if problems: - sys.exit(1) -if hooks == "off": - print(f"hooks off: exactly the {len(skipped)} expected hook-only tests skipped; imported {record['modules'][0]}") -else: - print(f"hooks on: no test skipped; imported {record['modules'][0]}") -PY + "$PYTHON" "$ROOT/dev/pytest_guard.py" "$@" } coverage() { diff --git a/dev/stubs/overrides.pyi b/dev/stubs/overrides.pyi index 91c15d6..3620420 100644 --- a/dev/stubs/overrides.pyi +++ b/dev/stubs/overrides.pyi @@ -100,7 +100,7 @@ class PredecessorDAG: # reason: no constructor: built by PredecessorDAG.from_csr, Path.to_dag and the searches # generated: (none) def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... - # reason: offsets, parents and via are integers + # reason: parent_offsets, parents and via_edges are integers # generated: def from_csr(graph: Graph, parent_offsets: typing.Any, parents: typing.Any, via_edges: typing.Any) -> PredecessorDAG: @staticmethod def from_csr( @@ -220,7 +220,7 @@ class CostStretch: def factor(self) -> fractions.Fraction: ... class TunnelCount: - # reason: count is an integer + # reason: per_head is an integer # generated: def __init__(self, per_head: typing.Any, *, up_to: bool = False) -> None: def __init__( self, per_head: typing.SupportsIndex, *, up_to: bool = False @@ -253,7 +253,7 @@ class Tunnel: def edges(self) -> tuple[int, ...] | None: ... class RouteDefinition: - # reason: head and weight are integers (weight checked by from_routes); bundle a Path or a PredecessorDAG (TypeError otherwise) + # reason: head and weight are integers (weight checked by from_routes); route a Path or a PredecessorDAG (TypeError otherwise) # generated: def __init__(self, head: typing.Any, route: typing.Any, *, weight: typing.Any = 1) -> None: def __init__( self, @@ -267,7 +267,7 @@ class ForwardingProgram: # reason: no constructor: made by from_routes or from_dag and returned by the policies # generated: (none) def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... - # reason: sources and destinations are node sets; routes a sequence of Route; edge_weights and residual integers or None + # reason: sources and destinations are node sets; routes a sequence of RouteDefinition; edge_weights and residual integers or None # generated: def from_routes(graph: Graph, sources: typing.Any, destinations: typing.Any, routes: typing.Any, *, allocation: RouteAllocation | None = None, weight_basis: WeightBasis | None = None, edge_weights: typing.Any = None, residual: typing.Any = None) -> ForwardingProgram: @staticmethod def from_routes( @@ -527,7 +527,7 @@ class FlowPolicy: eligibility: Eligibility | None = None, cache: ShortestPathCache | None = None, ) -> None: ... - # reason: volume is integer units or float('inf') (a NumPy floating +inf too); outputs may be None; the result is a PlacementResult + # reason: offer is integer units or float('inf') (a NumPy floating +inf too); outputs may be None; the result is a PlacementResult # generated: def place(self, offer: typing.Any, outputs: typing.Any = None) -> typing.Any: def place( self, @@ -595,7 +595,7 @@ class SensitivityEntry: def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... class SensitivityResult: - # reason: no constructor: returned by sensitivity + # reason: no constructor: returned by evaluate_edge_failures # generated: (none) def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... @@ -709,7 +709,7 @@ def as_float( x: typing.SupportsIndex, resolution: typing.SupportsFloat | typing.SupportsIndex ) -> float: ... -# reason: pairs of node sets, each pair a length-2 sequence (sources, destinations), an integer array included (so pairs may be an integer array of shape (k, 2), or (k, 2, m) for sets of m nodes); opts is EvaluationOptions; per_pair_eligibility has one Eligibility or None per pair; workers is an integer or None; one PlacementResult per pair +# reason: pairs of node sets, each pair a length-2 sequence (sources, destinations), an integer array included (so pairs may be an integer array of shape (k, 2), or (k, 2, m) for sets of m nodes); options is EvaluationOptions; per_pair_eligibility has one Eligibility or None per pair; workers is an integer or None; one PlacementResult per pair # generated: def evaluate_pairs(graph: Graph, pairs: typing.Any, options: typing.Any, per_pair_eligibility: typing.Any = None, workers: typing.Any = None) -> typing.Any: def evaluate_pairs( graph: Graph, @@ -727,7 +727,7 @@ def evaluate_pairs( workers: typing.SupportsIndex | None = None, ) -> list[PlacementResult]: ... -# reason: sources and destinations are node sets; opts is EvaluationOptions (TypeError otherwise) +# reason: sources and destinations are node sets; options is EvaluationOptions (TypeError otherwise) # generated: def evaluate_demand(graph: Graph, sources: typing.Any, destinations: typing.Any, options: typing.Any) -> typing.Any: def evaluate_demand( graph: Graph, @@ -740,7 +740,7 @@ def evaluate_demand( options: EvaluationOptions, ) -> PlacementResult: ... -# reason: src and dst are integers; opts is KspOptions; a list of (cost, Path) +# reason: source and destination are integers; options is KspOptions; a list of (cost, Path) # generated: def ksp(graph: Graph, source: typing.Any, destination: typing.Any, options: typing.Any) -> list: def ksp( graph: Graph, @@ -749,7 +749,7 @@ def ksp( options: KspOptions, ) -> list[tuple[int, Path]]: ... -# reason: src, dst and max_paths are integers (max_paths may be None); a list of Path +# reason: source, destination and max_paths are integers (max_paths may be None); a list of Path # generated: def resolve_to_paths(graph: Graph, dag: PredecessorDAG, source: typing.Any, destination: typing.Any, split_parallel_edges: bool = False, max_paths: typing.Any = None) -> list: def resolve_to_paths( graph: Graph, @@ -760,7 +760,7 @@ def resolve_to_paths( max_paths: typing.SupportsIndex | None = None, ) -> list[Path]: ... -# reason: sources and destinations are node sets; opts is EvaluationOptions; workers is an integer or None +# reason: sources and destinations are node sets; options is EvaluationOptions; workers is an integer or None # generated: def evaluate_edge_failures(graph: Graph, sources: typing.Any, destinations: typing.Any, options: typing.Any, workers: typing.Any = None) -> typing.Any: def evaluate_edge_failures( graph: Graph, @@ -774,7 +774,7 @@ def evaluate_edge_failures( workers: typing.SupportsIndex | None = None, ) -> SensitivityResult: ... -# reason: roots is a node set; opts is SpfOptions (TypeError otherwise) +# reason: roots is a node set; options is SpfOptions (TypeError otherwise) # generated: def spf(graph: Graph, roots: typing.Any, options: typing.Any) -> typing.Any: def spf( graph: Graph, diff --git a/dev/test_pytest_guard.py b/dev/test_pytest_guard.py new file mode 100644 index 0000000..0af9d15 --- /dev/null +++ b/dev/test_pytest_guard.py @@ -0,0 +1,186 @@ +"""The rules of ``dev/pytest_guard.py``: every check it makes on a run (the hook setting, the +imported modules, the skipped tests and their reasons) refuses its defect on a synthetic record; +real runs pass when clean (an unrelated plugin's warning on stderr included) and fail on one +unexpected skip, of a test or of a whole module while collected. + +Run by ``make check-ci``, or directly (the end-to-end controls need the development build): + + python -I -B dev/test_pytest_guard.py +""" + +from __future__ import annotations + +import contextlib +import io +import sys +import tempfile +import unittest +from pathlib import Path + +sys.path.insert(0, str(Path(__file__).resolve().parent)) + +import pytest_guard as guard + +OUTSIDE = ["/elsewhere/_netgraph_core.so", "/elsewhere/netgraph_core/__init__.py"] +REPLAY = guard.EXPECTED_OFF_SKIPPED_PREFIX + "x]" +REASON = "Skipped: needs the private hooks (NETGRAPH_CORE_PRIVATE_HOOKS)" + + +def off_run(**change): + """A correct hooks-off record, with `change` applied.""" + skipped = {name: REASON for name in guard.EXPECTED_OFF_SKIPS} + skipped[REPLAY] = REASON + record = dict( + has_hooks=False, + modules=list(OUTSIDE), + seen=set(skipped) | {"tests/py/test_units.py::test_ok"}, + skipped=skipped, + ) + record.update(change) + return record + + +class Checks(unittest.TestCase): + def test_hooks_on(self): + ok = dict(has_hooks=True, modules=OUTSIDE, seen={"a"}, skipped={}) + self.assertEqual(guard.problems("on", **ok), []) + self.assertEqual( + guard.problems("on", **{**ok, "skipped": {"a": REASON}}), + ["1 tests skipped in a hooks-on run: ['a']"], + ) + self.assertEqual( + guard.problems("on", **{**ok, "has_hooks": False}), + ["the extension lacks the private hooks (expected the editable build)"], + ) + self.assertEqual( + guard.problems("on", **{**ok, "modules": [None, OUTSIDE[1]]}), + [f"netgraph_core or _netgraph_core was not imported: {[None, OUTSIDE[1]]}"], + ) + + def test_hooks_off(self): + self.assertEqual(guard.problems("off", **off_run()), []) + unexpected = off_run() + unexpected["skipped"] = {**unexpected["skipped"], "tests/py/t.py::u": REASON} + self.assertEqual( + guard.problems("off", **unexpected), + ["skipped, not a known hook-only test: tests/py/t.py::u"], + ) + missing = off_run() + first = guard.EXPECTED_OFF_SKIPS[0] + del missing["skipped"][first] + self.assertEqual( + guard.problems("off", **missing), [f"expected to skip, did not: {first}"] + ) + other = off_run() + other["skipped"][first] = "Skipped: something else" + self.assertEqual( + guard.problems("off", **other), + [f"skipped for another reason: {first}: Skipped: something else"], + ) + no_replay = off_run() + del no_replay["skipped"][REPLAY] + no_replay["seen"].discard(REPLAY) + self.assertEqual( + guard.problems("off", **no_replay), + [f"no test {guard.EXPECTED_OFF_SKIPPED_PREFIX}...] ran"], + ) + self.assertEqual( + guard.problems("off", **off_run(has_hooks=True)), + [ + "the extension carries the private hooks (expected a wheel or sdist build)" + ], + ) + inside = [str(guard.ROOT / "python" / "_netgraph_core.so"), OUTSIDE[1]] + self.assertEqual( + guard.problems("off", **off_run(modules=inside)), + [f"imported from the source tree, not an installation: {inside[:1]}"], + ) + + def test_usage(self): + with contextlib.redirect_stderr(io.StringIO()): + self.assertEqual(guard.main([]), 2) + self.assertEqual(guard.main(["both"]), 2) + + +def development_build(): + try: + import _netgraph_core + except ImportError: + return False + return hasattr(_netgraph_core, "_fail_native_allocation") + + +HEADER = "import _netgraph_core\nimport netgraph_core\nimport pytest\n\n" +PASSING = HEADER + "def test_ok():\n assert True\n" +# A plugin of the environment that writes a warning when loaded (as an installed pytest plugin +# may): stderr of a clean run is not the guard's. +UNRELATED_PLUGIN = "import sys\n\nsys.stderr.write('an unrelated plugin warns\\n')\n" + + +@unittest.skipUnless(development_build(), "needs the development build (private hooks)") +class Runs(unittest.TestCase): + """Real runs of the guard in hooks-on mode on small test files: clean, then one test that + skips (as a test that silently needs a hook would on Windows), then one module skipped while + collected (as a module-level platform skip would).""" + + def run_guard(self, files): + """The guard's status and stderr on a directory of `files` (name: text), with the plugin + guard_unrelated_plugin loaded. The directory is the run's rootdir, so a node id starts at the + module's file name wherever the temporary directory is. Each test module's name is used + once in this file: the runs share one interpreter, which keeps an imported test module.""" + with tempfile.TemporaryDirectory() as tmp: + for name, text in { + **files, + "guard_unrelated_plugin.py": UNRELATED_PLUGIN, + }.items(): + (Path(tmp) / name).write_text(text) + err = io.StringIO() + sys.path.insert(0, tmp) + try: + with ( + contextlib.redirect_stdout(io.StringIO()), + contextlib.redirect_stderr(err), + ): + status = guard.main( + ["on", tmp, "--rootdir", tmp, "-q", "-p", "no:cacheprovider"] + + ["-p", "guard_unrelated_plugin"] + ) + finally: + sys.path.remove(tmp) + sys.modules.pop("guard_unrelated_plugin", None) + return status, err.getvalue() + + def guard_lines(self, err): + return [ln for ln in err.splitlines() if ln.startswith("dev/pytest_guard.py")] + + def test_a_clean_run_passes(self): + status, err = self.run_guard( + {"test_guard_clean.py": PASSING, "test_guard_other.py": PASSING} + ) + self.assertEqual((status, self.guard_lines(err)), (0, [])) + self.assertIn("an unrelated plugin warns", err) + + def test_an_unexpected_skip_fails(self): + body = ( + HEADER + + "def test_ok():\n pass\n\n\ndef test_skips():\n pytest.skip('planted')\n" + ) + status, err = self.run_guard({"test_guard_skip.py": body}) + self.assertEqual(status, 1) + self.assertEqual(len(self.guard_lines(err)), 1) + self.assertIn("1 tests skipped in a hooks-on run", err) + self.assertIn("test_guard_skip.py::test_skips", err) + + def test_a_module_skipped_while_collected_fails(self): + module = "import pytest\n\npytest.skip('planted', allow_module_level=True)\n" + status, err = self.run_guard( + {"test_guard_kept.py": PASSING, "test_guard_platform.py": module} + ) + self.assertEqual(status, 1) + self.assertEqual(len(self.guard_lines(err)), 1) + self.assertIn("1 tests skipped in a hooks-on run", err) + self.assertIn("['test_guard_platform.py']", err) + + +if __name__ == "__main__": + unittest.main() diff --git a/docs/semantics.md b/docs/semantics.md index 0993e43..3abc8d2 100644 --- a/docs/semantics.md +++ b/docs/semantics.md @@ -137,6 +137,23 @@ separate kind of number: positive integers that are never converted. integers in units of `q`. In Python they are `int` (exact, unbounded); per-edge arrays are NumPy `int64[E]`. Cumulative counters that are sums over many calls (a Lossy record's `offered` and its per-edge `edge_drops`) may exceed 64 bits; Python returns them as exact `int`. + Cumulative counters must remain below `2^127`. A call that would reach that limit raises + `ValueError(' limit exceeded')` and publishes nothing; the cumulative request is + checked before computation. +- **Internal limits.** A forwarding's network numbers its positions in 32 bits: its forwarded + program entries, occurrences (every link visit of every entry: a tunnel's path length, a split + route's member links), split-route routers, LOSSY events (the links that can drop plus the + routers) and their dependency arcs, checked in that order, are each at most `2^31 - 1`; a call + beyond raises `ValueError('forwarding limit exceeded: > 2147483647')` (`` + one of `entry`, `occurrence`, `router`, `event`, `dependency`; `` the exact count). The + entry, occurrence and router limits are checked after validation and before the network is + allocated; the event and dependency limits, known only after the no-drop loads, before the + event structures are allocated. Either refusal changes nothing. Identities are + never reused: a ledger issues at most `2^63 - 1` policy identifiers and `2^63 - 1` FlowId + counters, and the process at most `2^63 - 1` identities shared by graphs, ledgers and masks (0, + the all-allowed mask's, is never issued); the next one raises `RuntimeError('policy identity + limit exceeded')`, `RuntimeError('record identity limit exceeded')` (a publication's new records + counted together) or `RuntimeError('object identity limit exceeded')` before anything changes. - **Domain.** Every edge capacity, and the sum of all capacities, is below `2^62` units. Edge costs are integers of at least 1 and their sum is below `2^62`, so no path cost reaches the sentinel `UNREACHABLE` (the largest `int64`). An offer is an integer in `[0, 2^62)` units or @@ -163,7 +180,14 @@ separate kind of number: positive integers that are never converted. `a` plus one), ties to the lower EdgeId. Equal weights give round robin. Both rules are exact and never lose a unit: a share that rounds down to zero leaves its unit to - a sibling. Both are monotone: when `I` grows, no member's share shrinks. + a sibling. Both are monotone: when `I` grows, no member's share shrinks. For one split into `k` + members, each member's absolute rounding error relative to that split's actual integer input and + effective weights is below `k` units (`k * q` physically), and below one unit for equal positive + weights. This is a local bound, not an end-to-end delivery bound, and highest averages is not + the closest proportional rounding: weights `[100, 1, 1, 1]` and 50 units give `[50, 0, 0, 0]` + (total absolute error `300/103` against the exact shares `[5000/103, 50/103, 50/103, 50/103]`, + where `[49, 1, 0, 0]` would have `200/103`). With all weights zero, no unit is assigned and a + proportional share is undefined. - **Conservation.** At every node, inflow plus supply equals outflow plus delivery plus drops, exactly. The ledger's totals are exactly the sums of its records. @@ -1423,8 +1447,9 @@ picks the cheapest routes, then (with `prefer_headroom=True`) the routes that le capacity, and finally breaks any remaining tie by one fixed unit-by-unit procedure. Real traffic then splits equally over the heads and over each head's tunnels; whole-unit remainders may use room beyond the plan. A planned bandwidth is metadata: the ledger holds nothing for it. -`TunnelCount(L, up_to=True)` gives every head one common count `k <= L`, the smallest that -carries the design. A head that cannot reach a destination over free capacity is dead: it keeps +`TunnelCount(L, up_to=True)` gives every head one common count `k <= L`: the smallest whose +program carries the live heads' design shares; if none does, the largest live-share score, then +the smallest count. It does not promise whole-demand lossless delivery. A head that cannot reach a destination over free capacity is dead: it keeps its share and loses it; a weak but live head limits the common size of every tunnel, by design (heads that must not limit each other are separate demands). A `support` DAG restricts every step to its edges. diff --git a/include/netgraph/core/detail/endpoints.hpp b/include/netgraph/core/detail/endpoints.hpp index 5a05b14..a783b91 100644 --- a/include/netgraph/core/detail/endpoints.hpp +++ b/include/netgraph/core/detail/endpoints.hpp @@ -1,6 +1,6 @@ /* Endpoint and root sets (internal): one normalisation, one overlap check and one message for each defect, shared by the flow core, the searches, the - ledger's bottleneck, the policies, the evaluators and the bindings (which check unnarrowed + ledger's saturation report, the policies, the evaluators and the bindings (which check unnarrowed Python integers and report the same texts). */ #pragma once diff --git a/include/netgraph/core/detail/forwarding.hpp b/include/netgraph/core/detail/forwarding.hpp index 091da2e..a417599 100644 --- a/include/netgraph/core/detail/forwarding.hpp +++ b/include/netgraph/core/detail/forwarding.hpp @@ -28,9 +28,11 @@ */ #pragma once +#include #include #include #include +#include #include #include #include @@ -61,7 +63,7 @@ struct ForwardingView { std::vector blackholed_sources_ {}; // Per program entry: Failed (excluded by the mask, or a head outside the replay roster), // Blackholed (a tunnel whose path reaches a black hole), a down tunnel's setup status - // (NoBandwidth, CostCeiling) or Up; its route under the mask (the record's route; an empty DAG + // (InsufficientBandwidth, CostCeilingExceeded) or Up; its route under the mask (the record's route; an empty DAG // when it failed or is down) and that route's cost. std::vector status_ {}; std::vector> routes_ {}; @@ -158,6 +160,18 @@ struct ProgramFlow { std::vector entries {}; }; +// A forwarding's network numbers its positions in 32 bits. Its counts, in the order they are +// checked: the forwarded entries, the occurrences (every tunnel hop and split-route member), the +// routers of the split routes, the lossy rule's events (the links that can drop plus the routers) +// and their dependency arcs. Each is computed exactly in 64 bits: at most kForwardingLimit, else +// std::invalid_argument `forwarding limit exceeded: > 2147483647`. The entry, +// occurrence and router counts are checked after validation and before the network is allocated; +// the event and dependency counts, known only after the no-drop loads, before the event +// structures are allocated. Either refusal changes nothing. +inline constexpr std::int64_t kForwardingLimit = std::numeric_limits::max(); +enum class ForwardingCounter { Entry, Occurrence, Router, Event, Dependency }; +void check_forwarding_count(ForwardingCounter counter, std::int64_t n); + // The free capacity of each of `edges` in the forwarding, into `out` (aligned; before black // holes, which the engine applies): one call per evaluation, not per edge. using AvailableCapacityFn = std::function edges, std::span out)>; @@ -171,11 +185,9 @@ void source_offer_increments(const ForwardingView& view, const Counter128& X, Am // Lossless: the largest total in [lo, hi] (hi nullopt: unbounded) whose no-drop forwarding fits // `free`, with its loads; `lo` must fit. -[[nodiscard]] ProgramFlow lossless(const Graph& graph, const ForwardingView& view, const AvailableCapacityFn& free, Amount lo, - std::optional hi); +[[nodiscard]] ProgramFlow lossless(const ForwardingView& view, const AvailableCapacityFn& free, Amount lo, std::optional hi); // Lossy: the loss rule over per-head injections (aligned with the view's heads) on `free`. -[[nodiscard]] ProgramFlow lossy(const Graph& graph, const ForwardingView& view, const AvailableCapacityFn& free, - std::span injections); +[[nodiscard]] ProgramFlow lossy(const ForwardingView& view, const AvailableCapacityFn& free, std::span injections); #if NETGRAPH_CORE_PRIVATE_HOOKS // Test controls (hooks builds only): how many cyclic groups the last lossy() on this thread @@ -187,6 +199,9 @@ struct LossyCounters { bool corrupt {false}; }; LossyCounters& thread_lossy_counters() noexcept; +// Lower limits for this thread's forwardings, per ForwardingCounter (0: kForwardingLimit), so a +// test reaches each refusal with a small program. +std::array& thread_forwarding_limits() noexcept; #endif } // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/int128.hpp b/include/netgraph/core/detail/int128.hpp index 472f234..1720eba 100644 --- a/include/netgraph/core/detail/int128.hpp +++ b/include/netgraph/core/detail/int128.hpp @@ -77,6 +77,13 @@ inline std::uint64_t div_u128(U128 n, std::uint64_t d) noexcept { #endif +// x mod d for d > 0 (any 128-bit x): the remainder of (x.hi mod d) * 2^64 + x.lo, whose quotient +// fits 64 bits. +inline std::uint64_t mod_u128(U128 x, std::uint64_t d) noexcept { + const std::uint64_t q = div_u128(U128 {x.hi % d, x.lo}, d); + return x.lo - q * d; +} + // a + b and a - b (a >= b), exactly; the caller keeps a + b below 2^128. inline U128 add(U128 a, U128 b) noexcept { U128 r {a.hi + b.hi, a.lo + b.lo}; diff --git a/include/netgraph/core/detail/ledger_access.hpp b/include/netgraph/core/detail/ledger_access.hpp index d787166..47fc43a 100644 --- a/include/netgraph/core/detail/ledger_access.hpp +++ b/include/netgraph/core/detail/ledger_access.hpp @@ -26,16 +26,18 @@ struct RecordDraft { FlowRecord record {}; }; -// The saturation diagnostic of FlowLedger::bottleneck on a given residual (the sources already a +// The saturation diagnostic of FlowLedger::saturated_boundary_edges on a given residual (the sources already a // validated set): the edges (statically eligible, capacity >= 1 unit) leaving the set reachable // from the allowed sources over eligible forward arcs with residual >= 1 unit, ascending EdgeId. [[nodiscard]] std::vector saturated_boundary_edges_of(const Graph& graph, std::span residual, std::span sources, const Eligibility* eligibility); struct LedgerAccess { - // A new owner id (0, 1, ... per ledger). Throws on a moved-from ledger. + // A new owner id (0, 1, ... per ledger, below the largest int64: std::runtime_error `policy + // identity limit exceeded` there, nothing changed). Throws on a moved-from ledger. [[nodiscard]] static std::int64_t bind(FlowLedger& ledger); - // The owner's policy is destroyed without remove(): its records stay as orphans. + // The owner's policy is destroyed without remove(): its records stay as orphans (an owner + // without records is forgotten). static void release(FlowLedger& ledger, std::int64_t owner) noexcept; // remove(): the owner's records are deleted (allocations and holds reverted), their ids retired. // Throws only before any change (a moved-from ledger, an unbound owner). @@ -44,7 +46,8 @@ struct LedgerAccess { // new ones; the new aggregates must stay within [0, baseline] on every edge (carried loads // within the service baseline, holds within the reservation baseline). Throws (and // changes nothing) otherwise, an allocation failure included: every allocation happens - // before a publication step that cannot throw. Returns the FlowIds of the new records in + // before a publication step that cannot throw, and the new ids running past the largest int64 + // (std::runtime_error `record identity limit exceeded`). Returns the FlowIds of the new records in // draft order. The drafts' vectors are moved from. static std::vector commit(FlowLedger& ledger, std::int64_t owner, std::span drafts); // The exchange of replace() and forward(): every live record of the owner is retired (its @@ -70,6 +73,8 @@ struct LedgerAccess { static std::vector& reserved_storage(FlowLedger& fg); // Diagnostics (the tests and the private bindings). [[nodiscard]] static std::int64_t next_record_counter(const FlowLedger& ledger); + // The next record and owner ids, set (the tests' checks of the identity limits). + static void set_next_ids(FlowLedger& ledger, std::int64_t next_record_counter, std::int64_t next_policy_id); [[nodiscard]] static std::vector bound_policy_ids(const FlowLedger& ledger); [[nodiscard]] static std::vector orphan_policy_ids(const FlowLedger& ledger); }; diff --git a/include/netgraph/core/detail/policy_engine.hpp b/include/netgraph/core/detail/policy_engine.hpp index 3cbf9da..6cde920 100644 --- a/include/netgraph/core/detail/policy_engine.hpp +++ b/include/netgraph/core/detail/policy_engine.hpp @@ -129,6 +129,9 @@ void check_source_count(const FlowPolicyConfig& config, std::size_t num_sources) // The resolved source allocation of a computing model; none for Pinned (its program has one). [[nodiscard]] std::optional source_allocation_of(const Routing& r) noexcept; void check_tunnel_limit(const FlowPolicyConfig& cfg, std::size_t num_heads); +// place()'s first check, before its offer is read (the binding runs it before converting it): T1 +// and T2 raise ` does not support incremental placement`. +void check_place_operation(const PolicyEngine& pe); // forward()'s first checks, before its offer is read (the binding runs them before converting // it): `Pinned forwards with replace`, then `forward requires an installed program`. void check_forward_operation(const PolicyEngine& pe); diff --git a/include/netgraph/core/detail/program_data.hpp b/include/netgraph/core/detail/program_data.hpp index 3e5eea4..ace311a 100644 --- a/include/netgraph/core/detail/program_data.hpp +++ b/include/netgraph/core/detail/program_data.hpp @@ -73,7 +73,7 @@ struct ProgramData { std::span reachable_sources {}; std::vector source_weight_values {}; std::vector entries {}; - // Per roster slot its entries (entries_of): slot s's are source_entry_positions[source_entry_offsets[s]..source_entry_offsets[s+1]), + // Per roster slot its entries (entries_for_source): slot s's are source_entry_positions[source_entry_offsets[s]..source_entry_offsets[s+1]), // ascending index; both empty for a pooled program. std::span source_entry_offsets {}; std::span source_entry_positions {}; diff --git a/include/netgraph/core/detail/route_kernels.hpp b/include/netgraph/core/detail/route_kernels.hpp index 3aa90ce..5303c93 100644 --- a/include/netgraph/core/detail/route_kernels.hpp +++ b/include/netgraph/core/detail/route_kernels.hpp @@ -6,7 +6,7 @@ roster for its pooled program). The split graph keeps edges allowed by the kernel that lie on a walk from a root to a destination; it removes edges leaving destinations. Its edges are the plan's members. A router reached by several roots adds their traffic and splits it once. - A member-aligned array has one entry per member, in the same order as plan.members. Policies + A member-aligned array has one entry per member, in the same order as plan.forwarding_edges. Policies combine these allocations; the ledger commits them. */ #pragma once @@ -21,6 +21,7 @@ #include "netgraph/core/detail/search_detail.hpp" #include "netgraph/core/eligibility.hpp" +#include "netgraph/core/flow_record.hpp" #include "netgraph/core/graph.hpp" #include "netgraph/core/options.hpp" #include "netgraph/core/route_structures.hpp" @@ -53,6 +54,12 @@ inline std::size_t round_robin(Amount total, std::size_t k, Share&& share) { return n; } +// The round-robin increments when a cumulative total X (any 128-bit count) grows by v over k = +// out.size() recipients: out[i] = RR(X + v, k, i) - RR(X, k, i). They depend only on r = X mod k: +// floor((r + v) / k) + [i < (r + v) mod k] - [i < r] (ShortestPaths' Lossy offers and a program's +// equal sources). +void round_robin_increments(const Counter128& total, Amount v, std::span out) noexcept; + inline std::size_t round_robin(Amount total, std::span out) noexcept { return round_robin(total, out.size(), [&](std::size_t i, Amount x) noexcept { out[i] = x; @@ -134,7 +141,7 @@ struct PreparedRoute { private: // Points the views into store_ for these sizes (the layout's order: sources, source_positions, // destinations, topological_order, outgoing_begin, outgoing_end, edge_destination_positions, - // then terminal as bytes). + // then is_destination as bytes). Layout point(std::size_t num_roots, std::size_t num_dsts, std::size_t positions, std::size_t num_members) noexcept; std::vector store_ {}; }; @@ -246,25 +253,21 @@ struct LosslessBound { }; [[nodiscard]] LosslessBound max_lossless_offer(const PreparedRoute& plan, std::span view_m); -// One Lossless step of one flow (the amounts stage): T_new = max(T, min(T + request, -// T_max(V))) on the replacement view V = W + own (member-aligned `view_m`), with `own_m` the -// flow's committed allocation alloc(T) (member-aligned). Optimized solves the flow core on the -// split graph with cap T + request (uncapped for +inf) and reports the solve's marginal curve; -// Weighted and Equal probe T + request first and search T_max (as max_lossless_offer does) only when -// it does not fit: the result is the same T_new. `request` nullopt is +inf. `alloc` is the new -// member-aligned allocation (own_m itself when T is unchanged on a Weighted or Equal -// plan). +// One Lossless step of one flow on an Equal or Weighted plan (the amounts stage): T_new = max(T, +// min(T + request, T_max(V))) on the replacement view V = W + own (member-aligned `view_m`), with +// `own_m` the flow's committed allocation alloc(T) (member-aligned). The step probes T + request +// first and searches T_max (as max_lossless_offer does) only when it does not fit. `request` +// nullopt is +inf. `edge_flows` is the new member-aligned allocation (own_m itself when T is +// unchanged). struct LosslessStep { Amount admitted {0}; std::vector edge_flows {}; - std::int32_t probes {0}; // probes of this step's T_max search (at most 62) - std::vector> marginal_cost_curve {}; // Optimized: the solve's marginal curve + std::int32_t probes {0}; // probes of this step's T_max search (at most 62) }; -[[nodiscard]] LosslessStep lossless_step(const Graph& graph, const PreparedRoute& plan, Amount total, - std::span view_m, std::span own_m, - std::optional request); +[[nodiscard]] LosslessStep lossless_step(const PreparedRoute& plan, Amount total, std::span view_m, + std::span own_m, std::optional request); -// The injection of one forwarding: per root (aligned with plan.roots), the amount it injects; or +// The injection of one forwarding: per root (aligned with plan.sources), the amount it injects; or // (first_hop, the experiment of a Lossy +inf placement) every root's out-members, each injected // with exactly its own view, while traffic reaching a root from another root is split as usual. struct Injection { diff --git a/include/netgraph/core/detail/tunnel_setup.hpp b/include/netgraph/core/detail/tunnel_setup.hpp index bf5e2f2..ec9aab7 100644 --- a/include/netgraph/core/detail/tunnel_setup.hpp +++ b/include/netgraph/core/detail/tunnel_setup.hpp @@ -18,11 +18,6 @@ namespace netgraph::core::detail { -// RR(x, k, i) = x // k + [i < x % k]: member i's share of x over k members. -[[nodiscard]] inline Amount rr(Amount x, std::int64_t k, std::int64_t i) noexcept { - return x / k + (i < x % k ? 1 : 0); -} - // T1's setup for the design volume D (< 2^62) over the roster's H heads (ascending) // with N = ca.tunnel_count.per_head tunnels each: head i's share RR(D, H, i), its tunnel j's request // RR(share, N, j); the attempts in round order (round j, heads ascending), every one even after diff --git a/include/netgraph/core/detail/uid.hpp b/include/netgraph/core/detail/uid.hpp index 7ad17c6..bee5cc0 100644 --- a/include/netgraph/core/detail/uid.hpp +++ b/include/netgraph/core/detail/uid.hpp @@ -1,11 +1,16 @@ /* The process-wide uid counter of graphs, Eligibility values and ledgers (internal). */ #pragma once +#include #include namespace netgraph::core::detail { -// A fresh uid from one process-wide 64-bit counter: never 0, never reused. -[[nodiscard]] std::uint64_t next_uid() noexcept; +// A fresh uid from one process-wide 64-bit counter: never 0, never reused, at most the largest +// int64 (2^63 - 1 identities); after it the counter is spent: std::runtime_error `object identity +// limit exceeded`, nothing changed. +[[nodiscard]] std::uint64_t next_uid(); +// The rule of next_uid on a given counter (the counter holds the last uid taken, 0 for none). +[[nodiscard]] std::uint64_t take_uid(std::atomic& counter); } // namespace netgraph::core::detail diff --git a/include/netgraph/core/flow_ledger.hpp b/include/netgraph/core/flow_ledger.hpp index 8fc8f5f..e236412 100644 --- a/include/netgraph/core/flow_ledger.hpp +++ b/include/netgraph/core/flow_ledger.hpp @@ -96,8 +96,8 @@ class FlowLedger { std::map> policy_record_counters_ {}; // owner -> live ids, ascending std::int64_t next_record_counter_ {0}; std::int64_t next_policy_id_ {0}; - // Every owner since the last reset: true while bound, false once orphaned (release() flips - // the flag, so it never allocates). + // The bound owners (true) and the orphaned owners of live records (false), since the last + // reset: release() flips the flag, or erases an owner without records, so it never allocates. std::map policy_bindings_ {}; std::size_t num_bound_policies_ {0}; }; diff --git a/include/netgraph/core/flow_policy.hpp b/include/netgraph/core/flow_policy.hpp index c804e0b..f7992b0 100644 --- a/include/netgraph/core/flow_policy.hpp +++ b/include/netgraph/core/flow_policy.hpp @@ -28,7 +28,8 @@ class FrozenCacheHitTally; // The tunnel count of the tunnel models, per head: `per_head` in [1, 10000] (checked where a policy // or an evaluator uses it); `up_to` (T2 only; T1 rejects it): one common count k in 1..per_head for -// every head, the smallest sufficient one. +// every head, the smallest whose program carries the live heads' design shares (else the largest +// live-share score, then the smallest count; no promise of whole-demand lossless delivery). struct TunnelCount { std::int64_t per_head {1}; bool up_to {false}; diff --git a/include/netgraph/core/route_structures.hpp b/include/netgraph/core/route_structures.hpp index d93d14d..57f2c6f 100644 --- a/include/netgraph/core/route_structures.hpp +++ b/include/netgraph/core/route_structures.hpp @@ -57,7 +57,7 @@ class PredecessorDAG { std::vector node_offsets_ {0}; // nodes_.size() + 1: the entries of nodes_[i] std::vector parents_ {}; std::vector via_edges_ {}; - std::vector edges_ {}; // via_ in ascending EdgeId (derived once, at construction) + std::vector edges_ {}; // via_edges_ in ascending EdgeId (derived once, at construction) }; // An explicit walk of hops; a hop holds one or more parallel members of one (u, v) pair, in diff --git a/python/netgraph_core/__init__.pyi b/python/netgraph_core/__init__.pyi index f45e1f1..ccbef90 100644 --- a/python/netgraph_core/__init__.pyi +++ b/python/netgraph_core/__init__.pyi @@ -93,8 +93,9 @@ class RouteAllocation: OPTIMIZED: the minimum-cost flow core over the routes (a controller restricted to them), re-solved over the free capacity plus the policy's own allocation (it may move its own earlier placement, never another's). WEIGHTED (WCMP, weighted-cost multipath): every node splits in proportion to - weights fixed when the routes are prepared (highest averages: whole-unit shares as close to - proportional as possible; the weights come from WeightBasis). EQUAL (ECMP, equal-cost + weights fixed when the routes are prepared (highest averages (D'Hondt): assign each next unit + to the largest weight / (assigned + 1), ties to the lower EdgeId; the weights come from + WeightBasis). EQUAL (ECMP, equal-cost multipath): every node splits equally, by round robin. Members: @@ -1106,7 +1107,9 @@ class TunnelCount: """ The tunnel count of T1 (DistributedTE) and T2, per head: per_head in [1, 10000] (checked when a policy or an evaluator uses it). up_to=True (T2 only; T1 rejects it): one common count k in - 1..per_head for every head, the smallest that delivers the design. + 1..per_head for every head: the smallest common count whose program carries the live heads' + design shares; if none does, the largest live-share score, then the smallest count. It does not + promise whole-demand lossless delivery. """ def __eq__(self, arg0: typing.Any) -> bool: ... @@ -1128,7 +1131,8 @@ class TunnelCount: @property def up_to(self) -> bool: """ - True: the smallest sufficient count up to per_head (T2 only) + True: the smallest count up to per_head whose program carries the live heads' design shares (else the + best live-share score, then the smallest); T2 only """ class ShortestPaths: @@ -1184,7 +1188,7 @@ class ShortestPaths: @property def multipath(self) -> bool: """ - True: every equal-cost route; False: the one canonical path per destination + True: every equal-cost route; False: one canonical path per roster source toward the destination set """ @property @@ -1297,7 +1301,8 @@ class CentralizedTE: whole-unit planned bandwidth: first as large as possible (U), then for a finite design no larger than needed (u), then the cheapest routes, then with prefer_headroom=True the routes that leave the most spare capacity, then one fixed unit-by-unit tie. TunnelCount(L, up_to=True): the smallest - common count k <= L whose program carries the design (else the best, then the smallest). + common count k <= L whose program carries the live heads' design shares (else the largest + live-share score, then the smallest count); no promise of whole-demand lossless delivery. Traffic splits equally over the heads and over each head's tunnels; planned bandwidth is never held. """ diff --git a/src/centralized_te_tunnels.cpp b/src/centralized_te_tunnels.cpp index 3b5ce12..757e5f0 100644 --- a/src/centralized_te_tunnels.cpp +++ b/src/centralized_te_tunnels.cpp @@ -678,7 +678,7 @@ U128 live_budget(const Base& b, const std::vector& tunnels, s Amount working_size(const Quota& q, std::int64_t H, std::int64_t k, Amount U, std::optional design) { if (!design.has_value()) return U; Amount need = 1; - for (std::int64_t i : q.live_pos) need = std::max(need, (rr(*design, H, i) + k - 1) / k); + for (std::int64_t i : q.live_pos) need = std::max(need, (round_robin_share(*design, H, i) + k - 1) / k); return std::min(U, need); } diff --git a/src/evaluators.cpp b/src/evaluators.cpp index dd30b8e..b1a8946 100644 --- a/src/evaluators.cpp +++ b/src/evaluators.cpp @@ -326,7 +326,7 @@ SensitivityResult evaluate_edge_failures_in_call(const Graph& graph, std::spanvalue() != out.baseline.call_delivered) { - throw std::logic_error("sensitivity: the captured state differs from the baseline"); + throw std::logic_error("evaluate_edge_failures: the captured state differs from the baseline"); } const auto flows = capture.state->edge_flows(); for (EdgeId e = 0; e < graph.num_edges(); ++e) { diff --git a/src/flow_ledger.cpp b/src/flow_ledger.cpp index db2549c..564cca0 100644 --- a/src/flow_ledger.cpp +++ b/src/flow_ledger.cpp @@ -10,6 +10,8 @@ #include "netgraph/core/flow_ledger.hpp" #include +#include +#include #include #include #include @@ -242,7 +244,7 @@ void FlowLedger::check_resettable() const { } } -// The new baselines (an empty reservation: the capacities) and no records; allocated_ keeps its +// The new baselines (an empty reservation: the capacities) and no records; carried_ keeps its // size, so nothing here allocates. void FlowLedger::install(std::vector baseline, std::vector reservation) { carried_.assign(baseline.size(), 0); @@ -332,6 +334,7 @@ static_assert(std::is_nothrow_swappable_v>); std::int64_t LedgerAccess::bind(FlowLedger& ledger) { ledger.check_usable(); + if (ledger.next_policy_id_ == std::numeric_limits::max()) throw std::runtime_error("policy identity limit exceeded"); const std::int64_t owner = ledger.next_policy_id_; ledger.policy_bindings_.emplace(owner, true); // the only allocation: nothing changes if it throws ++ledger.next_policy_id_; @@ -342,8 +345,15 @@ std::int64_t LedgerAccess::bind(FlowLedger& ledger) { void LedgerAccess::release(FlowLedger& ledger, std::int64_t owner) noexcept { const auto it = ledger.policy_bindings_.find(owner); if (it == ledger.policy_bindings_.end() || !it->second) return; - it->second = false; --ledger.num_bound_policies_; + // An owner with live records stays as their orphaned owner; one without leaves nothing to keep + // (its id is never issued again either way). Neither step allocates. + const auto records = ledger.policy_record_counters_.find(owner); + if (records != ledger.policy_record_counters_.end() && !records->second.empty()) { + it->second = false; + } else { + ledger.policy_bindings_.erase(it); + } } std::vector LedgerAccess::detach(FlowLedger& ledger, std::int64_t owner) { @@ -376,6 +386,13 @@ std::vector LedgerAccess::commit_drafts(FlowLedger& ledger, std::int64_t bool retire) { ledger.check_usable(); if (!is_bound(ledger.policy_bindings_, owner)) throw std::logic_error("ledger: commit by an unbound owner"); + // Every new record's id, checked as one batch before anything changes: ids stay below the + // largest int64. + const auto num_new = static_cast( + std::count_if(drafts.begin(), drafts.end(), [](const RecordDraft& d) { return !d.record_counter.has_value(); })); + if (num_new > static_cast(std::numeric_limits::max() - ledger.next_record_counter_)) { + throw std::runtime_error("record identity limit exceeded"); + } // The drafts carry exactly the owner's live records plus new ones (retire: only new ones, every // live record is retired). const auto owned = ledger.policy_record_counters_.find(owner); @@ -422,13 +439,8 @@ std::vector LedgerAccess::commit_drafts(FlowLedger& ledger, std::int64_t return created; } std::vector kept; - std::size_t num_new = 0; for (const auto& d : drafts) { - if (d.record_counter.has_value()) { - kept.push_back(*d.record_counter); - } else { - ++num_new; - } + if (d.record_counter.has_value()) kept.push_back(*d.record_counter); } std::sort(kept.begin(), kept.end()); if (retire ? !kept.empty() : (kept.size() != num_current || (num_current != 0 && kept != owned->second))) { @@ -591,6 +603,11 @@ std::vector& LedgerAccess::reserved_storage(FlowLedger& fg) { return fg.reserved_; } +void LedgerAccess::set_next_ids(FlowLedger& ledger, std::int64_t next_record_counter, std::int64_t next_policy_id) { + ledger.next_record_counter_ = next_record_counter; + ledger.next_policy_id_ = next_policy_id; +} + std::int64_t LedgerAccess::next_record_counter(const FlowLedger& ledger) { ledger.check_usable(); return ledger.next_record_counter_; diff --git a/src/flow_policy.cpp b/src/flow_policy.cpp index f034178..de7ace0 100644 --- a/src/flow_policy.cpp +++ b/src/flow_policy.cpp @@ -181,21 +181,6 @@ void align(std::span members, const std::vector -void cumulative_offers(const Counter128& requested, Amount v, std::size_t k, Offer&& offer) { - const auto kk = static_cast(k); - const std::uint64_t two64 = ((std::numeric_limits::max() % kk) + 1) % kk; - const std::uint64_t r = ((requested.hi % kk) * two64 % kk + requested.lo % kk) % kk; - const auto total = static_cast(v) + r; - const auto base = static_cast(total / kk); - const std::uint64_t extra = total % kk; - for (std::size_t i = 0; i < k; ++i) offer(i, base + (i < extra ? 1 : 0) - (i < r ? 1 : 0)); -} - // A ShortestPaths preparation's inputs: the policy, its graph and the call's working residual. struct PolicyCallContext { const PolicyEngine& engine; @@ -912,7 +897,7 @@ PendingPolicyUpdate place_pooled(const PolicyEngine& pe, const PolicyEpoch& cur, std::vector view; W.gather(members, view); for (std::size_t m = 0; m < members.size(); ++m) view[m] += own[m]; - auto step = lossless_step(g, plan, admitted, view, own, v); + auto step = lossless_step(plan, admitted, view, own, v); call_delivered = step.admitted - admitted; if (per_source == nullptr) { // One source holds the whole admitted allocation (the attribution's degenerate form): it @@ -940,7 +925,7 @@ PendingPolicyUpdate place_pooled(const PolicyEngine& pe, const PolicyEpoch& cur, // The new round-robin injections of the offer (or the first-hop experiment) on W. Injection in; if (v.has_value()) { - cumulative_offers(cur.offered, *v, k, [&](std::size_t i, Amount x) { inject[i] = x; }); + round_robin_increments(cur.offered, *v, inject); in.per_root = inject; } else { in.first_hop = true; @@ -1180,7 +1165,7 @@ PendingPolicyUpdate place_optimized_flow(const PolicyEngine& pe, const PolicyEpo } else { sol = solve(pe, support, V, cap, {}); } - if (sol.flow_value < P) throw std::logic_error("controller: a call reduced placed_demand()"); + if (sol.flow_value < P) throw std::logic_error("controller: a call reduced delivered()"); // The program: each source's supply cut into paths; each source's share is the sum of its // paths. // The solved flows move into the decomposition (a trace reads them afterwards: a copy). @@ -1332,7 +1317,6 @@ bool view_active(const ForwardingView& v) { PendingPolicyUpdate forward_entries(const PolicyEngine& pe, const PolicyEpoch& cur, ServiceCapacityWorkspace& W, const PolicyCall& rq, const ForwardingProgram* before_program, const ForwardingView& view, bool active, bool holds, std::shared_ptr plan) { - const auto& g = *pe.graph; const auto v = rq.offer; const ProgramData& p = *view.data; const std::size_t n = p.entries.size(); @@ -1357,7 +1341,7 @@ PendingPolicyUpdate forward_entries(const PolicyEngine& pe, const PolicyEpoch& c } if (!created) W.release_records(before); const std::optional hi = v.has_value() ? std::optional(admitted + *v) : std::nullopt; - flow = detail::lossless(g, view, available_capacity_reader(W), admitted, hi); + flow = detail::lossless(view, available_capacity_reader(W), admitted, hi); call_delivered = flow.admitted - admitted; } else { std::vector inject(k, 0); @@ -1366,7 +1350,7 @@ PendingPolicyUpdate forward_entries(const PolicyEngine& pe, const PolicyEpoch& c } else { source_offer_increments(view, cur.offered, *v, inject); } - flow = detail::lossy(g, view, available_capacity_reader(W), inject); + flow = detail::lossy(view, available_capacity_reader(W), inject); call_delivered = flow.delivered; // The whole offer is sent: what no head receives (every remaining captured weight 0) is lost at // the sources, outside every row. @@ -1564,7 +1548,7 @@ PendingPolicyUpdate place_t2(const PolicyEngine& pe, const PolicyEpoch& cur, Ser const auto program = distributed_te_program(g, pe.sources, pe.destinations, pe.reachable_sources, std::move(lay.tunnels), pe.excluded_nodes, pe.excluded_edges); const ForwardingView view = make_forwarding_view(g, program, nullptr, pe.allowed_destinations, nullptr, true); - const Amount F = detail::lossless(g, view, available_capacity_reader(W), 0, std::nullopt).admitted; + const Amount F = detail::lossless(view, available_capacity_reader(W), 0, std::nullopt).admitted; return forward_entries(pe, cur, W, rq, before_program, view, view_active(view), false, std::make_shared(t2_plan(pe, D, lay, program->tunnels().size(), F))); } @@ -1582,11 +1566,11 @@ PendingPolicyUpdate forward_installed(const PolicyEngine& pe, ServiceCapacityWor const bool lossy = pe.config.admission == Admission::Lossy; ProgramFlow flow; if (!lossy) { - flow = detail::lossless(g, view, available_capacity_reader(W), 0, v); + flow = detail::lossless(view, available_capacity_reader(W), 0, v); } else { std::vector inject(k, 0); source_shares(view, *v, inject); - flow = detail::lossy(g, view, available_capacity_reader(W), inject); + flow = detail::lossy(view, available_capacity_reader(W), inject); } PendingPolicyUpdate s; s.next_epoch = fresh_epoch(pe, true); @@ -1962,7 +1946,7 @@ FlowPolicy::~FlowPolicy() { LedgerAccess::release(engine_->ledger, engine_->poli namespace detail { namespace { -// The program a computing model installs for an empty roster (R22): an empty one. Pinned never +// The program a computing model installs for an empty roster: an empty one. Pinned never // comes here: its forwarding with no head is place_pinned's. std::shared_ptr empty_roster_program(const PolicyEngine& pe) { return empty_program(pe.graph->uid(), pe.sources, pe.destinations, uses_optimized_flow(pe) && pe.source_allocation == SourceAllocation::Optimized); @@ -2037,6 +2021,10 @@ PendingPolicyUpdate empty_roster(const PolicyEngine& pe, const PolicyEpoch& cur, } // namespace +void check_place_operation(const PolicyEngine& pe) { + if (tunnel_model(pe)) invalid(std::string(model_name(pe.config.routing)) + " does not support incremental placement"); +} + void check_forward_operation(const PolicyEngine& pe) { if (is(pe)) invalid("Pinned forwards with replace"); if (!pe.epoch.program) invalid("forward requires an installed program"); @@ -2051,9 +2039,7 @@ namespace { void check_call(const PolicyEngine& pe, const PolicyCall& rq) { const bool lossy = pe.config.admission == Admission::Lossy; const bool t1 = is(pe); - if (rq.operation == PolicyOperation::Place && tunnel_model(pe)) { - invalid(std::string(model_name(pe.config.routing)) + " does not support incremental placement"); - } + if (rq.operation == PolicyOperation::Place) check_place_operation(pe); if (rq.operation == PolicyOperation::Forward) check_forward_operation(pe); if (rq.offer.has_value() && (*rq.offer < 0 || *rq.offer >= kDomainLimit)) { invalid("offer must be an integer in [0, 2^62) or permitted +inf"); @@ -2137,9 +2123,10 @@ void publish(PolicyEngine& pe, PendingPolicyUpdate& s, bool full) { pe.epoch = std::move(s.next_epoch); } -// `before_publish` (optional) runs once the call's result and trace are final and before anything is -// published (the ledger commit, the epoch state): an exception from it aborts the call with -// nothing changed (the Python binding builds its result objects there). +// A publishing call (place, replace, forward; evaluate computes without it). `before_publish` +// (optional) runs once the call's result and trace are final and before anything is published (the +// ledger commit, the epoch state): an exception from it aborts the call with nothing changed (the +// Python binding builds its result objects there). PlacementResult run_call(PolicyEngine& pe, const PolicyCall& rq, const std::function* before_publish) { check_call(pe, rq); if (rq.operation == PolicyOperation::Place && rq.offer.has_value() && *rq.offer == 0) { @@ -2149,7 +2136,6 @@ PlacementResult run_call(PolicyEngine& pe, const PolicyCall& rq, const std::func } PendingPolicyUpdate s = compute(pe, rq); if (before_publish != nullptr && *before_publish) (*before_publish)(); - if (rq.operation == PolicyOperation::Evaluate) return std::move(s.result); PlacementResult out = std::move(s.result); publish(pe, s, rq.is_full_offer()); return out; diff --git a/src/forwarding.cpp b/src/forwarding.cpp index 87ae44f..c44f30d 100644 --- a/src/forwarding.cpp +++ b/src/forwarding.cpp @@ -48,7 +48,23 @@ LossyCounters& thread_lossy_counters() noexcept { thread_local LossyCounters c; return c; } + +std::array& thread_forwarding_limits() noexcept { + thread_local std::array limits {}; + return limits; +} +#endif + +void check_forwarding_count(ForwardingCounter counter, std::int64_t n) { + std::int64_t limit = kForwardingLimit; +#if NETGRAPH_CORE_PRIVATE_HOOKS + if (const auto lower = thread_forwarding_limits()[static_cast(counter)]; lower > 0) limit = lower; #endif + if (n <= limit) return; + static constexpr const char* kNames[] = {"entry", "occurrence", "router", "event", "dependency"}; + throw std::invalid_argument(std::string("forwarding ") + kNames[static_cast(counter)] + " limit exceeded: " + + std::to_string(n) + " > " + std::to_string(limit)); +} namespace { @@ -340,16 +356,6 @@ ForwardingView with_black_holes(const ForwardingView& view, const Eligibility* d // ================================================================ the injection -namespace { - -// x mod d for a 128-bit x and d > 0. -std::uint64_t mod_u128(const Counter128& x, std::uint64_t d) noexcept { - const std::uint64_t q = div_u128(U128 {x.hi % d, x.lo}, d); - return x.lo - q * d; -} - -} // namespace - void source_shares(const ForwardingView& view, Amount x, std::span out) { std::fill(out.begin(), out.end(), 0); if (out.empty()) return; @@ -366,13 +372,7 @@ void source_offer_increments(const ForwardingView& view, const Counter128& X, Am if (k == 0) return; const auto weights = view.source_weights(); if (weights.empty()) { - // RR(X + v) - RR(X) depends only on r = X mod k: floor((r + v) / k) + [i < (r + v) mod k] - [i < r]. - const auto kk = static_cast(k); - const std::uint64_t r = mod_u128(X, kk); - const auto total = static_cast(v) + r; - const auto base = static_cast(total / kk); - const std::uint64_t extra = total % kk; - for (std::size_t i = 0; i < k; ++i) out[i] = base + (i < extra ? 1 : 0) - (i < r ? 1 : 0); + round_robin_increments(X, v, out); return; } // H(X + c W) = H(X) + c w (the divisor rule's thresholds shift by c), so only r = X mod W and @@ -382,7 +382,7 @@ void source_offer_increments(const ForwardingView& view, const Counter128& X, Am std::uint64_t W = 0; for (Amount w : weights) W += static_cast(w); if (W == 0) return; - const std::uint64_t r = mod_u128(X, W); + const std::uint64_t r = mod_u128(U128 {X.hi, X.lo}, W); const std::uint64_t t = r + static_cast(v); const auto c = static_cast(t / W); std::vector a(k); @@ -465,11 +465,9 @@ void pooled_view(const PreparedRoute& plan, const ForwardingView& view, const Av // The pooled form's per-root amounts as entry flows (root r carries entry source_entry_positions[r]). void pooled_entries(const ForwardingView& view, const PreparedRoute& plan, const Attribution* attr, std::span alloc, std::span drops, ProgramFlow& out) { - const ProgramData& p = *view.data; for (std::size_t h = 0; h < view.num_sources(); ++h) { const auto e = static_cast(view.entries_for_source(h).front()); auto& f = out.entries[e]; - (void)p; if (attr == nullptr) { // One root holds the whole forwarding (the attribution's degenerate form). f.edge_flows = positive_pairs(plan.forwarding_edges, alloc); @@ -493,8 +491,7 @@ Amount black_hole_offer_cap(const ForwardingView& view) { return std::numeric_limits::max(); } -ProgramFlow pooled_lossless(const Graph& graph, const ForwardingView& view, const AvailableCapacityFn& free, Amount lo, - std::optional hi) { +ProgramFlow pooled_lossless(const ForwardingView& view, const AvailableCapacityFn& free, Amount lo, std::optional hi) { const PreparedRoute& plan = *view.prepared_route(0); ProgramFlow out = empty_flow(view, false); const std::size_t k = view.num_sources(); @@ -508,7 +505,7 @@ ProgramFlow pooled_lossless(const Graph& graph, const ForwardingView& view, cons if (cap > lo && !plan.forwarding_edges.empty()) { const std::optional request = cap == std::numeric_limits::max() ? std::nullopt : std::optional(cap - lo); - auto step = lossless_step(graph, plan, lo, V, own, request); + auto step = lossless_step(plan, lo, V, own, request); total = step.admitted; own = std::move(step.edge_flows); } @@ -585,6 +582,11 @@ struct ForwardingNetwork { std::int32_t first_occurrence {0}; // its first occurrence std::int32_t num_occurrences {0}; std::int32_t first_router_position {0}; // its first router (split routes: one per plan position) + // A split route's entry whose root is not in its plan: its share has no route. + [[nodiscard]] bool routeless() const noexcept { return tunnel_position < 0 && source_position < 0; } + [[nodiscard]] std::int32_t num_routers() const noexcept { + return prepared_route == nullptr ? 0 : static_cast(prepared_route->topological_order.size()); + } }; std::vector entry_occurrences; std::vector entry_occurrence_positions; // per program entry: its item, or -1 (or -2: a routeless entry) @@ -604,17 +606,20 @@ std::int32_t edge_position(const ForwardingNetwork& net, EdgeId e) { return static_cast(std::lower_bound(net.edges.begin(), net.edges.end(), e) - net.edges.begin()); } -ForwardingNetwork build_forwarding_network(const ForwardingView& view, const AvailableCapacityFn& free) { +// Every entry of the forwarding with a positive weight, by (head, entry index), to `visit` as its +// item before its positions in the network are set (first_occurrence, first_router_position): a +// tunnel with its hops, or a split route with its root's position in the plan and its members +// (none when routeless). +template +void for_each_forwarded_entry(const ForwardingView& view, Visit&& visit) { const ProgramData& p = *view.data; - ForwardingNetwork net; - net.entry_occurrence_positions.assign(p.entries.size(), -1); for (std::size_t h = 0; h < view.num_sources(); ++h) { for (const std::int32_t ei : view.entries_for_source(h)) { const auto e = static_cast(ei); const auto& entry = p.entries[e]; if (entry.weight == 0) continue; ForwardingNetwork::Item it; - it.entry_position = static_cast(e); + it.entry_position = ei; it.source_index = static_cast(h); if (entry.tunnel_position >= 0) { it.tunnel_position = entry.tunnel_position; @@ -623,18 +628,45 @@ ForwardingNetwork build_forwarding_network(const ForwardingView& view, const Ava it.prepared_route = view.prepared_route(static_cast(entry.split_context_position)).get(); const auto r = view.context_source_index(e); it.source_position = r < 0 ? -1 : it.prepared_route->source_positions[static_cast(r)]; - if (it.source_position < 0) { - net.entry_occurrence_positions[e] = -2; // its share has no route: lost at the source - continue; - } - it.num_occurrences = static_cast(it.prepared_route->forwarding_edges.size()); - it.first_router_position = net.num_router_positions; - net.num_router_positions += static_cast(it.prepared_route->topological_order.size()); + if (it.source_position >= 0) it.num_occurrences = static_cast(it.prepared_route->forwarding_edges.size()); } - net.entry_occurrence_positions[e] = static_cast(net.entry_occurrences.size()); - net.entry_occurrences.push_back(it); + visit(it); } } +} + +ForwardingNetwork build_forwarding_network(const ForwardingView& view, const AvailableCapacityFn& free) { + const ProgramData& p = *view.data; + // The network's counts, exactly, after validation and before any of its arrays is sized: the + // forwarded entries (positive weight, with a route), their occurrences and the split routes' + // routers. A refusal changes nothing. + std::int64_t num_entries = 0; + std::int64_t num_occurrences = 0; + std::int64_t num_routers = 0; + for_each_forwarded_entry(view, [&](const ForwardingNetwork::Item& it) { + if (it.routeless()) return; + ++num_entries; + num_occurrences += it.num_occurrences; + num_routers += it.num_routers(); + }); + check_forwarding_count(ForwardingCounter::Entry, num_entries); + check_forwarding_count(ForwardingCounter::Occurrence, num_occurrences); + check_forwarding_count(ForwardingCounter::Router, num_routers); + ForwardingNetwork net; + net.entry_occurrence_positions.assign(p.entries.size(), -1); + for_each_forwarded_entry(view, [&](ForwardingNetwork::Item it) { + const auto e = static_cast(it.entry_position); + if (it.routeless()) { + net.entry_occurrence_positions[e] = -2; // its share has no route: lost at the source + return; + } + if (it.prepared_route != nullptr) { + it.first_router_position = net.num_router_positions; + net.num_router_positions += it.num_routers(); + } + net.entry_occurrence_positions[e] = static_cast(net.entry_occurrences.size()); + net.entry_occurrences.push_back(it); + }); std::int32_t nocc = 0; for (auto& it : net.entry_occurrences) { it.first_occurrence = nocc; @@ -692,8 +724,8 @@ ForwardingNetwork build_forwarding_network(const ForwardingView& view, const Ava // The no-drop loads of the entries' shares per link (and per occurrence when `occ` is given). // A split route allocates its share over its plan from its root. -void no_drop(const ForwardingNetwork& net, const ProgramData& p, std::span share, std::vector& load, - std::vector* occ, std::vector& scratch) { +void no_drop(const ForwardingNetwork& net, std::span share, std::vector& load, std::vector* occ, + std::vector& scratch) { load.assign(net.edges.size(), 0); if (occ != nullptr) occ->assign(net.occurrence_edge_positions.size(), 0); for (const auto& it : net.entry_occurrences) { @@ -715,7 +747,6 @@ void no_drop(const ForwardingNetwork& net, const ProgramData& p, std::span(j)]; } } - (void)p; } // The router split of a split route's plan position p: round robin or highest averages over @@ -773,7 +804,6 @@ void loss_rule(const ForwardingNetwork& net, std::span occs, // ---------------------------------------------------------------- the general lossless bound ProgramFlow general_lossless(const ForwardingView& view, const AvailableCapacityFn& free, Amount lo, std::optional hi) { - const ProgramData& p = *view.data; const ForwardingNetwork net = build_forwarding_network(view, free); const std::size_t k = view.num_sources(); std::vector heads(k); @@ -796,7 +826,7 @@ ProgramFlow general_lossless(const ForwardingView& view, const AvailableCapacity for (std::size_t e = 0; e < share.size(); ++e) { if (share[e] != 0 && net.entry_occurrence_positions[e] == -2) return false; // a share with no route } - no_drop(net, p, share, load, nullptr, scratch); + no_drop(net, share, load, nullptr, scratch); for (std::size_t l = 0; l < load.size(); ++l) { if (load[l] > net.available_capacity[l]) return false; } @@ -847,7 +877,7 @@ ProgramFlow general_lossless(const ForwardingView& view, const AvailableCapacity source_shares(view, best, out.offered_by_source); entry_shares(view, out.offered_by_source, share, source_drops_by_source, w, part); std::vector occ; - no_drop(net, p, share, load, &occ, scratch); + no_drop(net, share, load, &occ, scratch); for (std::size_t l = 0; l < load.size(); ++l) { if (load[l] > net.available_capacity[l]) throw std::logic_error("forwarding: the admitted total does not fit"); } @@ -870,7 +900,7 @@ ProgramFlow general_lossless(const ForwardingView& view, const AvailableCapacity class LossyForwardingEvaluator { public: - LossyForwardingEvaluator(const ForwardingView& view, const ForwardingNetwork& net) : view_(view), p_(*view.data), net_(net) {} + LossyForwardingEvaluator(const ForwardingView& view, const ForwardingNetwork& net) : view_(view), net_(net) {} ProgramFlow run(std::span injections); @@ -895,7 +925,6 @@ class LossyForwardingEvaluator { void verify(std::span share) const; const ForwardingView& view_; - const ProgramData& p_; const ForwardingNetwork& net_; std::vector occurrence_source_positions_; // per occurrence of a split route: its member's tail position std::vector transparent_; // per link: the second link of a transparent pair @@ -977,38 +1006,51 @@ void LossyForwardingEvaluator::normalize_serial_links(std::span U0 } } num_barriers_ = static_cast(barrier_link_.size()); + // The events are known only after the no-drop loads: checked before the event structures are + // sized (the network is built; a refusal changes nothing). + check_forwarding_count(ForwardingCounter::Event, std::int64_t {num_barriers_} + net_.num_router_positions); num_events_ = num_barriers_ + net_.num_router_positions; } void LossyForwardingEvaluator::build_events() { - std::vector> edges; - for (const auto& it : net_.entry_occurrences) { - if (it.tunnel_position >= 0) { - std::int32_t last = -1; - for (std::int32_t j = 0; j < it.num_occurrences; ++j) { - const auto ev = event_of_occ(it.first_occurrence + j); - if (ev < 0) continue; - if (last >= 0) edges.emplace_back(last, ev); - last = ev; + // Every dependency arc, to `emit`: an event before the next one on its tunnel; on a split route + // a member's tail router before its event (a member that can drop) and that event before the + // head router, or the tail before the head. + auto arcs = [&](auto&& emit) { + for (const auto& it : net_.entry_occurrences) { + if (it.tunnel_position >= 0) { + std::int32_t last = -1; + for (std::int32_t j = 0; j < it.num_occurrences; ++j) { + const auto ev = event_of_occ(it.first_occurrence + j); + if (ev < 0) continue; + if (last >= 0) emit(last, ev); + last = ev; + } + continue; } - continue; - } - const auto& plan = *it.prepared_route; - for (std::size_t pos = 0; pos < plan.topological_order.size(); ++pos) { - for (auto m = plan.outgoing_begin[pos]; m < plan.outgoing_end[pos]; ++m) { - const auto o = it.first_occurrence + m; - const auto from = router(it, static_cast(pos)); - const auto to = router(it, plan.edge_destination_positions[static_cast(m)]); - const auto ev = event_of_occ(o); - if (ev >= 0) { - edges.emplace_back(from, ev); - edges.emplace_back(ev, to); - } else { - edges.emplace_back(from, to); + const auto& plan = *it.prepared_route; + for (std::size_t pos = 0; pos < plan.topological_order.size(); ++pos) { + for (auto m = plan.outgoing_begin[pos]; m < plan.outgoing_end[pos]; ++m) { + const auto o = it.first_occurrence + m; + const auto from = router(it, static_cast(pos)); + const auto to = router(it, plan.edge_destination_positions[static_cast(m)]); + const auto ev = event_of_occ(o); + if (ev >= 0) { + emit(from, ev); + emit(ev, to); + } else { + emit(from, to); + } } } } - } + }; + std::int64_t count = 0; + arcs([&](std::int32_t, std::int32_t) { ++count; }); + check_forwarding_count(ForwardingCounter::Dependency, count); + std::vector> edges; + edges.reserve(static_cast(count)); + arcs([&](std::int32_t from, std::int32_t to) { edges.emplace_back(from, to); }); dependency_offsets_.assign(static_cast(num_events_) + 1, 0); for (const auto& [a, b] : edges) ++dependency_offsets_[static_cast(a) + 1]; for (std::size_t v = 0; v < static_cast(num_events_); ++v) dependency_offsets_[v + 1] += dependency_offsets_[v]; @@ -1320,7 +1362,7 @@ ProgramFlow LossyForwardingEvaluator::run(std::span injections) { // A+: the no-drop loads first, then the barriers. std::vector U0; std::vector scratch; - no_drop(net_, p_, share, U0, nullptr, scratch); + no_drop(net_, share, U0, nullptr, scratch); occurrence_source_positions_.assign(net_.occurrence_edge_positions.size(), -1); for (const auto& it : net_.entry_occurrences) { if (it.tunnel_position >= 0) continue; @@ -1445,13 +1487,12 @@ ProgramFlow LossyForwardingEvaluator::run(std::span injections) { } // namespace -ProgramFlow lossless(const Graph& graph, const ForwardingView& view, const AvailableCapacityFn& free, Amount lo, std::optional hi) { - if (view.pooled) return pooled_lossless(graph, view, free, lo, hi); +ProgramFlow lossless(const ForwardingView& view, const AvailableCapacityFn& free, Amount lo, std::optional hi) { + if (view.pooled) return pooled_lossless(view, free, lo, hi); return general_lossless(view, free, lo, hi); } -ProgramFlow lossy(const Graph& graph, const ForwardingView& view, const AvailableCapacityFn& free, std::span injections) { - (void)graph; +ProgramFlow lossy(const ForwardingView& view, const AvailableCapacityFn& free, std::span injections) { if (injections.size() != view.num_sources()) throw std::logic_error("forwarding: the injections are not head-aligned"); #if NETGRAPH_CORE_PRIVATE_HOOKS thread_lossy_counters().groups = 0; diff --git a/src/forwarding_program.cpp b/src/forwarding_program.cpp index a45c754..239e7a8 100644 --- a/src/forwarding_program.cpp +++ b/src/forwarding_program.cpp @@ -83,7 +83,7 @@ void ProgramData::initialize_storage(std::span source, std::span(std::lower_bound(ros.begin(), ros.end(), entry.head) - ros.begin()); } if (pools_source_inflows) { - // A pooled program's slots carry one entry each (entries_of): no lists, local index 0. + // A pooled program's slots carry one entry each (entries_for_source): no lists, local index 0. for (auto& entry : entries) entry.local_index = 0; } else { // A stable counting sort by slot: counted at slot + 2, summed, placed through slot + 1 (which diff --git a/src/graph.cpp b/src/graph.cpp index a212bf7..e4e39ec 100644 --- a/src/graph.cpp +++ b/src/graph.cpp @@ -25,13 +25,13 @@ lookups and growths. On either limit, radix-sort all costs in 16-bit digits. Both methods produce identical ranks. - Allocate all retained arrays at final size, then use them as scratch before filling them. - Store ranks in in_col_indices_. While the hash table has <= E slots, capacity_ holds its keys - and src_ its ordinals. cost_ holds distinct costs; dst_, input_index_ and in_adj_edge_index_ - serve their sort. Counting passes use in_adj_edge_index_ for the middle forward pass, and - capacity_/cost_ for K rank cursors or combined histograms. The fallback uses input_index_ and - in_adj_edge_index_. Extra buffers are limited to tables > E slots (old and new coexist during - growth) and the fallback's 2^16 digit counts. Smaller tables free no separate buffer that the + Allocate all retained arrays at final size, then use them as scratch before filling them. Store ranks in + incoming_edge_sources_. While the hash table has <= E slots, edge_capacity_units_ holds its keys and + edge_sources_ its ordinals. edge_costs_ holds distinct costs; edge_destinations_, input_positions_ and + incoming_edges_ serve their sort. Counting passes use incoming_edges_ for the middle forward pass, and + edge_capacity_units_/edge_costs_ for K rank cursors or combined histograms. The fallback uses + input_positions_ and incoming_edges_. Extra buffers are limited to tables > E slots (old and new coexist + during growth) and the fallback's 2^16 digit counts. Smaller tables free no separate buffer that the allocator could retain. */ #include "netgraph/core/graph.hpp" @@ -54,9 +54,19 @@ namespace netgraph::core { namespace detail { -std::uint64_t next_uid() noexcept { +std::uint64_t take_uid(std::atomic& counter) { + std::uint64_t last = counter.load(std::memory_order_relaxed); + do { + if (last >= static_cast(std::numeric_limits::max())) { + throw std::runtime_error("object identity limit exceeded"); + } + } while (!counter.compare_exchange_weak(last, last + 1, std::memory_order_relaxed)); + return last + 1; +} + +std::uint64_t next_uid() { static std::atomic counter {0}; - return counter.fetch_add(1, std::memory_order_relaxed) + 1; + return take_uid(counter); } #if NETGRAPH_CORE_PRIVATE_HOOKS diff --git a/src/min_cost_flow.cpp b/src/min_cost_flow.cpp index 03b3989..1cd3827 100644 --- a/src/min_cost_flow.cpp +++ b/src/min_cost_flow.cpp @@ -155,7 +155,7 @@ std::int32_t network_vertices(std::int32_t num_nodes, std::size_t num_edges, std return num_nodes + 2; } -// The residual network of one solve (Network: real vertices 0..N-1, s* = N, t* = N + 1) with +// The residual network of one solve (ResidualNetwork: real vertices 0..N-1, s* = N, t* = N + 1) with // its flow, potentials and scratch; also the working storage of a deletion re-solve. class MinCostFlowSolver { public: @@ -169,7 +169,7 @@ class MinCostFlowSolver { } MinCostFlowSolver() = default; - // Never copied or moved: net_ may point at own_. + // Never copied or moved: network_ may point at owned_network_. MinCostFlowSolver(const MinCostFlowSolver&) = delete; MinCostFlowSolver& operator=(const MinCostFlowSolver&) = delete; @@ -424,15 +424,15 @@ class MinCostFlowSolver { } } - // Dijkstra on reduced costs from origin_ to completion over the residual network. Returns - // whether target_ was reached; settled_ lists the vertices it settled. + // Dijkstra on reduced costs from search_source_ to completion over the residual network. Returns + // whether search_target_ was reached; settled_ lists the vertices it settled. template bool dijkstra(MinCostFlowCounters& c) { auto& pi = potentials

(); auto& dist = distances

(); auto& queue = heap

(); // The network is never resized during a search: raw pointers keep the compiler from - // reloading net_ and the vector bases around every store into the solver's own buffers. + // reloading network_ and the vector bases around every store into the solver's own buffers. const std::int32_t* const off = network_->arc_offsets.data(); const std::int32_t* const arc_destinations = network_->arc_destinations.data(); const Cost* const arc_cost = network_->arc_cost.data(); @@ -510,7 +510,7 @@ class MinCostFlowSolver { for (std::size_t v = 0; v < repair_potentials_.size(); ++v) repair_potentials_[v] += repair_seen_generations_[v] == repair_generation_ ? repair_distances_[v] : top; } - // The Dinic phases from origin_ to target_ over the admissible subgraph (positive residual, + // The Dinic phases from search_source_ to search_target_ over the admissible subgraph (positive residual, // zero reduced cost) until no admissible path remains or `limit` is reached; on_push(total) // after every push. template @@ -536,8 +536,8 @@ class MinCostFlowSolver { } // BFS levels over admissible arcs (positive residual, zero reduced cost). Counts one phase. - // Only vertices that can reach target_ over admissible arcs are levelled: every vertex on a - // shortest admissible path from origin_ to such a vertex reaches the target too, so their + // Only vertices that can reach search_target_ over admissible arcs are levelled: every vertex on a + // shortest admissible path from search_source_ to such a vertex reaches the target too, so their // levels equal the levels of a full BFS, and the other vertices are dead ends that the DFS // would only enter and leave. The forward search also stops once the target's level is // complete. The augmenting paths are therefore the ones a full BFS gives. @@ -601,7 +601,7 @@ class MinCostFlowSolver { return level_[t] >= 0; } - // One augmenting path origin_ -> target_ in the level graph into path_ (current-arc pointers + // One augmenting path search_source_ -> search_target_ in the level graph into path_ (current-arc pointers // kept: an arc that is pushed through stays current; a dead end advances its parent's pointer). template bool find_path(MinCostFlowCounters& c) { @@ -717,7 +717,7 @@ class MinCostFlowSolver { #endif ResidualNetwork owned_network_ {}; // a solve from zero's network (build()) - const ResidualNetwork* network_ {&owned_network_}; // the network the searches read: own_, or a captured one (load()) + const ResidualNetwork* network_ {&owned_network_}; // the network the searches read: owned_network_, or a captured one (load()) std::int32_t num_vertices_ {0}; std::int32_t virtual_source_ {0}; std::int32_t virtual_sink_ {0}; diff --git a/src/route_kernels.cpp b/src/route_kernels.cpp index c93adb6..4fdf7b4 100644 --- a/src/route_kernels.cpp +++ b/src/route_kernels.cpp @@ -19,7 +19,6 @@ #include #include "netgraph/core/detail/enum_domain.hpp" -#include "netgraph/core/detail/min_cost_flow.hpp" #include "netgraph/core/detail/int128.hpp" #include "netgraph/core/detail/route_builders.hpp" @@ -87,6 +86,16 @@ void highest_averages(Amount total, std::span weights, std::span out) noexcept { + const auto k = static_cast(out.size()); + if (k == 0) return; + const std::uint64_t r = mod_u128(U128 {total.hi, total.lo}, k); + const std::uint64_t t = static_cast(v) + r; + const auto base = static_cast(t / k); + const std::uint64_t extra = t % k; + for (std::size_t i = 0; i < out.size(); ++i) out[i] = base + (i < extra ? 1 : 0) - (i < r ? 1 : 0); +} + // ---------------------------------------------------------------- plans void check_kernel_combination(RouteAllocation allocation, Admission admission) { @@ -230,7 +239,7 @@ DagScratch& dag_scratch() { return s; } -// Build plan.members from the DAG's incoming-edge lists: keep edges accepted by keep(e) that +// Build plan.forwarding_edges from the DAG's incoming-edge lists: keep edges accepted by keep(e) that // lie on a walk from a root to a destination; exclude edges leaving destinations. No node // renumbering, extra arc arrays or adjacency offsets are needed. A backward DFS from destinations // lists each node after its parents (postorder, also a topological order here). @@ -1028,21 +1037,9 @@ LosslessBound max_lossless_offer(const PreparedRoute& plan, std::span view_m, std::span own_m, - std::optional request) { +LosslessStep lossless_step(const PreparedRoute& plan, Amount total, std::span view_m, + std::span own_m, std::optional request) { LosslessStep out; - if (plan.allocation == RouteAllocation::Optimized) { - // A fresh solve on the replacement view (own_m is part of view_m, so the flow's own - // allocation is cancellable; other owners are not in the view). - const std::optional cap = request.has_value() ? std::optional(total + *request) : std::nullopt; - auto r = solve_subset(graph, plan.forwarding_edges, view_m, plan.sources, plan.destinations, cap); - if (r.flow_value < total) throw std::logic_error("Optimized kernel: the replacement solve lost committed flow"); - out.admitted = r.flow_value; - out.edge_flows = std::move(r.edge_flows); - out.marginal_cost_curve = std::move(r.marginal_cost_curve); - return out; - } if (plan.forwarding_edges.empty()) { out.edge_flows.assign(own_m.begin(), own_m.end()); out.admitted = total; @@ -1061,7 +1058,7 @@ LosslessStep lossless_step(const Graph& graph, const PreparedRoute& plan, Amount return out; } // T_max in [total, target - 1]: alloc(total) = own_m fits, alloc(target) does not. Every - // fitting probe leaves its allocation in out.alloc, so a result above total needs no further + // fitting probe leaves its allocation in out.edge_flows, so a result above total needs no further // evaluation. auto& probe = probe_scratch(plan.forwarding_edges.size()); const Amount lo = largest_fit(plan, view_m, total, target, probe, &out.edge_flows, out.probes); diff --git a/src/search.cpp b/src/search.cpp index 716537f..5588e62 100644 --- a/src/search.cpp +++ b/src/search.cpp @@ -1,5 +1,5 @@ /* - The one traversal core of every search (detail/traversal.hpp), the public + The one traversal core of every search (detail/search_detail.hpp), the public spf, and the constructors of the search options. Distances are int64 path costs: every cost is positive and the sum of all costs is below 2^62, diff --git a/tests/cpp/centralized_te_tunnels_tests.cpp b/tests/cpp/centralized_te_tunnels_tests.cpp index b2aeacd..d1799b4 100644 --- a/tests/cpp/centralized_te_tunnels_tests.cpp +++ b/tests/cpp/centralized_te_tunnels_tests.cpp @@ -786,7 +786,10 @@ TEST(TunnelValidation, T2CountAndLimit) { // T2's operations and the design's domain, with their texts. TEST(TunnelOperations, T2CallValidation) { auto p = make(one10(), {0}, {1}, t2(2)); - for (const Amount x : {5, 0}) EXPECT_EQ(error_of([&] { (void)p->place(x); }), "CentralizedTE with tunnel_count does not support incremental placement"); + // The operation before the offer: also for an offer outside the domain. + for (const Amount x : {Amount {5}, Amount {0}, Amount {-1}, kDomainLimit}) { + EXPECT_EQ(error_of([&] { (void)p->place(x); }), "CentralizedTE with tunnel_count does not support incremental placement") << x; + } EXPECT_EQ(error_of([&] { (void)p->forward(Amount {5}); }), "forward requires an installed program"); for (const Amount d : {Amount {-1}, kL62}) { EXPECT_EQ(error_of([&] { (void)p->replace(Amount {5}, d); }), diff --git a/tests/cpp/distributed_te_tests.cpp b/tests/cpp/distributed_te_tests.cpp index e50d51a..9de1e9c 100644 --- a/tests/cpp/distributed_te_tests.cpp +++ b/tests/cpp/distributed_te_tests.cpp @@ -437,8 +437,8 @@ TEST(T1Setup, MaskedSource) { } // CostStretch(2) on X8: c0 = 1 is the pool minimum, through head 0's -// zero-capacity link (before any filter): head 1's only path costs 3 > 2: COST_CEILING_EXCEEDED (T0 took a -// per-head baseline of 3 and admitted it). The largest numerator, 2^63 - 1, does not overflow: NB, UP. +// zero-capacity link (before any filter): head 1's only path costs 3 > 2: COST_CEILING_EXCEEDED (a per-head +// baseline would be 3 and admit it). The largest numerator, 2^63 - 1, does not overflow: NB, UP. TEST(T1Setup, StretchPoolBaseline) { constexpr std::int64_t kMax = std::numeric_limits::max(); for (const auto& [f, second] : {std::pair {CostStretch(2), CC}, std::pair {CostStretch(kMax), UP}}) { @@ -745,11 +745,13 @@ TEST(T1Operations, AbsentTunnelsCountAsZero) { EXPECT_TRUE(detail::compare_programs(held1.get(), zero2.get()).reservations); } -// T1 has no incremental place (also 0), and forward needs an installed program. +// T1 has no incremental place (also 0, and before an offer outside the domain), and forward needs +// an installed program. TEST(T1Operations, NoIncrementsAndForwardNeedsAProgram) { auto p = make(one10(), {0}, {1}, t1(1)); - EXPECT_EQ(error_of([&] { (void)p->place(5); }), "DistributedTE does not support incremental placement"); - EXPECT_EQ(error_of([&] { (void)p->place(0); }), "DistributedTE does not support incremental placement"); + for (const Amount x : {Amount {5}, Amount {0}, Amount {-1}, kDomainLimit}) { + EXPECT_EQ(error_of([&] { (void)p->place(x); }), "DistributedTE does not support incremental placement") << x; + } EXPECT_EQ(error_of([&] { (void)p->forward(5); }), "forward requires an installed program"); (void)p->replace(1, 1); p->remove(); @@ -1567,7 +1569,7 @@ TEST(CostStretch, CeilingProductsBeyond64Bits) { } } -// The C++ CostStretch is one reduced fraction (R1): 12/10 is 6/5, the lowest numerator stays as +// The C++ CostStretch is one reduced fraction: 12/10 is 6/5, the lowest numerator stays as // it is (no int64 negation is needed), and a denominator below 1 is an invalid argument. TEST(CostStretch, Reduction) { EXPECT_EQ(CostStretch(12, 10), CostStretch(6, 5)); diff --git a/tests/cpp/flow_ledger_fault_tests.cpp b/tests/cpp/flow_ledger_fault_tests.cpp index 7826160..604d24d 100644 --- a/tests/cpp/flow_ledger_fault_tests.cpp +++ b/tests/cpp/flow_ledger_fault_tests.cpp @@ -129,6 +129,7 @@ TEST(LedgerFaults, TheSweepComparatorsCompareEveryField) { [](auto& x) { x.sources.push_back(1); }, [](auto& x) { x.destinations.push_back(1); }, [](auto& x) { x.admission = Admission::Lossy; }, + [](auto& x) { x.entry_id = 0; }, [&](auto& x) { x.route = other_route; }, [](auto& x) { ++x.min_route_cost; }, [](auto& x) { x.offered = Counter128 {}; }, @@ -144,6 +145,16 @@ TEST(LedgerFaults, TheSweepComparatorsCompareEveryField) { records[k](x); EXPECT_FALSE(same_record(x, rec)) << "record field " << k; } + // entry_id both ways (absent against present) and one entry against another. + ASSERT_FALSE(rec.entry_id.has_value()); + FlowRecord with_entry = rec; + with_entry.entry_id = 3; + EXPECT_TRUE(same_record(with_entry, with_entry)); + EXPECT_FALSE(same_record(with_entry, rec)); + EXPECT_FALSE(same_record(rec, with_entry)); + FlowRecord other_entry = with_entry; + other_entry.entry_id = 4; + EXPECT_FALSE(same_record(other_entry, with_entry)); // The uid clause of ledger_state: the records' own uid passes, another fails. { auto own = fg.records(); diff --git a/tests/cpp/flow_ledger_tests.cpp b/tests/cpp/flow_ledger_tests.cpp index f69f957..570c5f9 100644 --- a/tests/cpp/flow_ledger_tests.cpp +++ b/tests/cpp/flow_ledger_tests.cpp @@ -1,5 +1,5 @@ -// The integer ledger FlowLedger: the baseline, snapshots, FlowIds, bottleneck, and -// every row and transition of the lifetime table, driven through a policy on one route (CentralizedTE +// The integer ledger FlowLedger: the baseline, snapshots, FlowIds and the identity limits, +// saturated_boundary_edges, and every row and transition of the lifetime table, driven through a policy on one route (CentralizedTE // with the route as its support, or Pinned over it as a supplied split route: test::RoutePolicy, // route_policy.hpp); the 128-bit counters of the records; // and the commit rule itself (each edge published once, the multi-owner model, the fresh-record @@ -13,6 +13,7 @@ #include #include +#include #include #include #include @@ -29,6 +30,7 @@ #include "netgraph/core/detail/int128.hpp" #include "netgraph/core/detail/ledger_access.hpp" #include "netgraph/core/detail/route_builders.hpp" +#include "netgraph/core/detail/uid.hpp" #include "netgraph/core/flow_ledger.hpp" #include "route_policy.hpp" #include "state_comparators.hpp" @@ -302,7 +304,8 @@ TEST(FlowLedger, CopyAndMoveCarryTheWholeLedger) { // 1-unit link 1 -> 3), carrying nothing. FlowPolicy holds(fg, v({0}), v({3}), FlowPolicyConfig {.routing = DistributedTE {TunnelCount {1}}}); (void)holds.replace(0, 5); - } // four orphaned owners, three records: a copy or a move needs a ledger without bound policies + } // three orphaned owners with three records (owner 1 removed its record: forgotten); a copy or + // a move needs a ledger without bound policies const LedgerState source = ledger_state(fg); const std::vector source_baseline = vec(LedgerAccess::baseline(fg)); const std::vector source_reservation = vec(LedgerAccess::reservation_baseline(fg)); @@ -318,7 +321,7 @@ TEST(FlowLedger, CopyAndMoveCarryTheWholeLedger) { EXPECT_EQ(source.records[1].flow_id.second, 2); EXPECT_EQ(source.next_id, 4); EXPECT_TRUE(source.bound.empty()); - EXPECT_EQ(source.orphans, (std::vector{0, 1, 2, 3})); + EXPECT_EQ(source.orphans, (std::vector{0, 2, 3})); EXPECT_NE(source_baseline, vec(g->edge_capacity_units())); EXPECT_NE(source.carried, std::vector(4, 0)); @@ -356,9 +359,9 @@ TEST(FlowLedger, CopyAndMoveCarryTheWholeLedger) { const std::vector>> calls = { {"uid", [&] { (void)fg.uid(); }}, {"graph", [&] { (void)fg.graph(); }}, - {"capacity_units", [&] { (void)fg.edge_capacity_units(); }}, + {"edge_capacity_units", [&] { (void)fg.edge_capacity_units(); }}, {"residual", [&] { (void)fg.residual(); }}, - {"allocated", [&] { (void)fg.carried(); }}, + {"carried", [&] { (void)fg.carried(); }}, {"reserved", [&] { (void)fg.reserved(); }}, {"unreserved", [&] { (void)fg.unreserved(); }}, {"records", [&] { (void)fg.records(); }}, @@ -1238,3 +1241,133 @@ TEST(FlowLedger, FreshSingleRecordCommitsMatchTheGeneralRule) { LedgerAccess::release(fg2, owner); LedgerAccess::release(fg2, fresh); } + +namespace { + +// What fn raises: the message when the exception's dynamic type is exactly std::runtime_error (an +// internal limit), or a description of anything else. +std::string runtime_error_of(const std::function& fn) { + try { + fn(); + } catch (const std::exception& e) { + if (typeid(e) == typeid(std::runtime_error)) return e.what(); + return std::string("another exception type (") + typeid(e).name() + "): " + e.what(); + } + return "no exception"; +} + +constexpr std::int64_t kLastId = std::numeric_limits::max() - 1; + +} // namespace + +// Owner ids run up to the largest int64 less one (2^63 - 1 identities); the next bind is refused +// before anything changes, and an existing owner keeps working. +TEST(FlowLedger, PolicyIdentitiesStopBeforeTheLargestInt64) { + auto g = shared(make_graph(2, {{0, 1, 5, 1}})); + const auto dag = all_edges(*g); + FlowLedger fg(g); + LedgerAccess::set_next_ids(fg, 0, kLastId); + const auto last = LedgerAccess::bind(fg); + EXPECT_EQ(last, kLastId); + const LedgerState before = ledger_state(fg); + EXPECT_EQ(runtime_error_of([&] { (void)LedgerAccess::bind(fg); }), "policy identity limit exceeded"); + EXPECT_EQ(runtime_error_of([&] { RoutePolicy p(fg, 0, 1, on_support(dag)); }), "policy identity limit exceeded"); + expect_same(ledger_state(fg), before, "the refused binds"); + std::vector one {draft_on(dag, {{0, 2}})}; + EXPECT_EQ(LedgerAccess::commit(fg, last, one).size(), 1U); + EXPECT_EQ(fg.records()[0].policy_id, kLastId); + (void)LedgerAccess::detach(fg, last); + LedgerAccess::release(fg, last); +} + +// Record ids run up to the largest int64 less one (2^63 - 1 identities), checked for all of a +// commit's new records at once, on the fresh-record path and on the general one: the refused +// commit changes nothing, a commit with no new record still passes. +TEST(FlowLedger, RecordIdentitiesStopBeforeTheLargestInt64) { + auto g = shared(make_graph(2, {{0, 1, 9, 1}})); + const auto dag = all_edges(*g); + FlowLedger fg(g); + const auto a = LedgerAccess::bind(fg); + const auto b = LedgerAccess::bind(fg); + LedgerAccess::set_next_ids(fg, kLastId - 1, 2); + // The general path (an owner with a live record): two new records with two ids left. + std::vector first {draft_on(dag, {{0, 1}})}; + const auto ids = LedgerAccess::commit(fg, a, first); + EXPECT_EQ(ids[0].second, kLastId - 1); + std::vector two {draft_on(dag, {{0, 1}}, ids[0].second), draft_on(dag, {{0, 1}}), + draft_on(dag, {{0, 1}})}; + const LedgerState one_left = ledger_state(fg); + EXPECT_EQ(runtime_error_of([&] { (void)LedgerAccess::commit(fg, a, two); }), "record identity limit exceeded"); + expect_same(ledger_state(fg), one_left, "two new records, one id left"); + std::vector exchange {draft_on(dag, {{0, 1}}), draft_on(dag, {{0, 1}})}; + EXPECT_EQ(runtime_error_of([&] { (void)LedgerAccess::exchange(fg, a, exchange); }), "record identity limit exceeded"); + expect_same(ledger_state(fg), one_left, "an exchange of two new records, one id left"); + // One new record takes the last id. + std::vector second {draft_on(dag, {{0, 1}}, ids[0].second), draft_on(dag, {{0, 1}})}; + EXPECT_EQ(LedgerAccess::commit(fg, a, second)[0].second, kLastId); + EXPECT_EQ(LedgerAccess::next_record_counter(fg), std::numeric_limits::max()); + // The fresh-record path (an owner without records): no id left. + const LedgerState none_left = ledger_state(fg); + std::vector fresh {draft_on(dag, {{0, 1}})}; + EXPECT_EQ(runtime_error_of([&] { (void)LedgerAccess::commit(fg, b, fresh); }), "record identity limit exceeded"); + expect_same(ledger_state(fg), none_left, "a fresh record, no id left"); + // A commit that keeps its records and creates none passes. + std::vector kept {draft_on(dag, {{0, 2}}, kLastId - 1), draft_on(dag, {{0, 1}}, kLastId)}; + EXPECT_TRUE(LedgerAccess::commit(fg, a, kept).empty()); + EXPECT_EQ(fg.carried(), (std::vector {3})); + (void)LedgerAccess::detach(fg, a); + LedgerAccess::release(fg, a); + LedgerAccess::release(fg, b); +} + +// A uid comes from one counter holding the last uid taken: never 0, at most the largest int64 +// (2^63 - 1 identities); after it the counter is spent and unchanged. +TEST(FlowLedger, ObjectIdentitiesStopAtTheLargestInt64) { + constexpr auto kMax = static_cast(std::numeric_limits::max()); + std::atomic counter {0}; + EXPECT_EQ(detail::take_uid(counter), 1U); + counter = kMax - 1; + EXPECT_EQ(detail::take_uid(counter), kMax); + EXPECT_EQ(runtime_error_of([&] { (void)detail::take_uid(counter); }), "object identity limit exceeded"); + EXPECT_EQ(counter.load(), kMax); + // The process counter: fresh, distinct uids. + const auto u1 = detail::next_uid(); + const auto u2 = detail::next_uid(); + EXPECT_NE(u1, 0U); + EXPECT_GT(u2, u1); +} + +// An owner released without records leaves no entry (bound and orphaned owners only); an owner +// released with records stays as their orphaned owner; ids are never reissued. +TEST(FlowLedger, OwnersWithoutRecordsAreForgotten) { + auto g = shared(make_graph(2, {{0, 1, 5, 1}})); + const auto dag = all_edges(*g); + FlowLedger fg(g); + RoutePolicy anchor(fg, 0, 1, on_support(dag)); + for (int i = 0; i < 1000; ++i) { + RoutePolicy q(fg, 0, 1, on_support(dag)); + if (i % 2 == 0) { + EXPECT_EQ(q.place(1).call_delivered, 1); + q.remove(); + } + } + EXPECT_EQ(LedgerAccess::bound_policy_ids(fg), (std::vector {0})); + EXPECT_TRUE(LedgerAccess::orphan_policy_ids(fg).empty()); + { + RoutePolicy q(fg, 0, 1, on_support(dag)); + EXPECT_EQ(q.place(2).call_delivered, 2); + } + EXPECT_EQ(LedgerAccess::orphan_policy_ids(fg), (std::vector {1001})); + ASSERT_EQ(fg.records().size(), 1U); + EXPECT_EQ(fg.records()[0].policy_id, 1001); + RoutePolicy next(fg, 0, 1, on_support(dag)); + EXPECT_EQ(LedgerAccess::bound_policy_ids(fg), (std::vector {0, 1002})); + // The direct entry points: release of an owner that removed its records forgets it. + const auto owner = LedgerAccess::bind(fg); + std::vector one {draft_on(dag, {{0, 1}})}; + (void)LedgerAccess::commit(fg, owner, one); + (void)LedgerAccess::detach(fg, owner); + LedgerAccess::release(fg, owner); + EXPECT_EQ(LedgerAccess::bound_policy_ids(fg), (std::vector {0, 1002})); + EXPECT_EQ(LedgerAccess::orphan_policy_ids(fg), (std::vector {1001})); +} diff --git a/tests/cpp/graph_layout_tests.cpp b/tests/cpp/graph_layout_tests.cpp index 72b413a..9647489 100644 --- a/tests/cpp/graph_layout_tests.cpp +++ b/tests/cpp/graph_layout_tests.cpp @@ -276,7 +276,7 @@ TEST(GraphLayout, CheckerRejectsEveryCorruption) { {"wrong source", "forward:membership", [](Copy& c) { c.src[0] = 1; }}, {"row boundary moved", "forward:membership", [](Copy& c) { ++c.outgoing_offsets[1]; }}, // All-zero offsets (a graph with edges) - {"all-zero offsets", "row_offsets:end", [](Copy& c) { std::fill(c.outgoing_offsets.begin(), c.outgoing_offsets.end(), 0); }}, + {"all-zero offsets", "outgoing_offsets:end", [](Copy& c) { std::fill(c.outgoing_offsets.begin(), c.outgoing_offsets.end(), 0); }}, // Missing or duplicated reverse coverage {"duplicated reverse slot", "slot:permutation", [](Copy& c) { c.in_adj[1] = c.in_adj[0]; }}, {"wrong reverse destination", "reverse:membership", [](Copy& c) { ++c.incoming_offsets[1]; }}, @@ -316,31 +316,31 @@ TEST(GraphLayout, CheckerRejectsEveryCorruption) { {"negative slot", "slot:permutation", [](Copy& c) { c.in_adj[2] = -1; }}, // Additional size, offset and copied-source corruption controls. {"truncated capacity", "size:capacity", [](Copy& c) { c.capacity.pop_back(); }}, - {"oversized slots", "size:in_adj_edge_index", [](Copy& c) { c.in_adj.push_back(0); }}, - {"truncated offsets", "size:in_row_offsets", [](Copy& c) { c.incoming_offsets.pop_back(); }}, + {"oversized slots", "size:incoming_edges", [](Copy& c) { c.in_adj.push_back(0); }}, + {"truncated offsets", "size:incoming_offsets", [](Copy& c) { c.incoming_offsets.pop_back(); }}, {"truncated copy", "size:in_col_indices", [](Copy& c) { c.in_col.pop_back(); }}, - {"negative offset", "row_offsets:range", [](Copy& c) { c.outgoing_offsets[1] = -1; }}, - {"excessive offset", "in_row_offsets:range", [](Copy& c) { c.incoming_offsets[2] = 1 << 30; }}, + {"negative offset", "outgoing_offsets:range", [](Copy& c) { c.outgoing_offsets[1] = -1; }}, + {"excessive offset", "incoming_offsets:range", [](Copy& c) { c.incoming_offsets[2] = 1 << 30; }}, {"wrong copied source", "copy:source", [](Copy& c) { c.in_col[0] = (c.in_col[0] + 1) % 4; }}, {"copy indexed by id", "copy:source", [](Copy& c) { for (std::size_t s = 0; s < c.in_col.size(); ++s) c.in_col[s] = c.src[s]; }}, {"copied source out of range", "range:in_col_indices", [](Copy& c) { c.in_col[0] = 4; }}, - {"changed maximum", "scan:max_cost", [](Copy& c) { ++c.max_edge_cost; }}, - {"changed GCD", "scan:cost_gcd", [](Copy& c) { c.edge_cost_gcd = 2; }}, + {"changed maximum", "scan:max_edge_cost", [](Copy& c) { ++c.max_edge_cost; }}, + {"changed GCD", "scan:edge_cost_gcd", [](Copy& c) { c.edge_cost_gcd = 2; }}, // Every other code: each array's size, each offset rule of both offset arrays, the endpoint // ranges and each permuted property. {"truncated costs", "size:cost", [](Copy& c) { c.cost.pop_back(); }}, {"truncated sources", "size:src", [](Copy& c) { c.src.pop_back(); }}, {"truncated destinations", "size:dst", [](Copy& c) { c.dst.pop_back(); }}, - {"truncated map", "size:input_index", [](Copy& c) { c.input_positions.pop_back(); }}, - {"truncated row offsets", "size:row_offsets", [](Copy& c) { c.outgoing_offsets.pop_back(); }}, - {"row offsets start at 1", "row_offsets:start", [](Copy& c) { c.outgoing_offsets[0] = 1; }}, - {"reverse offsets start at 1", "in_row_offsets:start", [](Copy& c) { c.incoming_offsets[0] = 1; }}, - {"reverse offsets end early", "in_row_offsets:end", [](Copy& c) { --c.incoming_offsets.back(); }}, - {"row offsets decrease", "row_offsets:monotone", [](Copy& c) { c.outgoing_offsets[1] = c.outgoing_offsets[2] + 1; }}, - {"reverse offsets decrease", "in_row_offsets:monotone", + {"truncated map", "size:input_positions", [](Copy& c) { c.input_positions.pop_back(); }}, + {"truncated row offsets", "size:outgoing_offsets", [](Copy& c) { c.outgoing_offsets.pop_back(); }}, + {"row offsets start at 1", "outgoing_offsets:start", [](Copy& c) { c.outgoing_offsets[0] = 1; }}, + {"reverse offsets start at 1", "incoming_offsets:start", [](Copy& c) { c.incoming_offsets[0] = 1; }}, + {"reverse offsets end early", "incoming_offsets:end", [](Copy& c) { --c.incoming_offsets.back(); }}, + {"row offsets decrease", "outgoing_offsets:monotone", [](Copy& c) { c.outgoing_offsets[1] = c.outgoing_offsets[2] + 1; }}, + {"reverse offsets decrease", "incoming_offsets:monotone", [](Copy& c) { c.incoming_offsets[2] = c.incoming_offsets[1] - 1; }}, {"source out of range", "range:src", [](Copy& c) { c.src[0] = 4; }}, {"negative destination", "range:dst", [](Copy& c) { c.dst[0] = -1; }}, diff --git a/tests/cpp/layout_checker.hpp b/tests/cpp/layout_checker.hpp index b468d3b..4fd0ffd 100644 --- a/tests/cpp/layout_checker.hpp +++ b/tests/cpp/layout_checker.hpp @@ -104,16 +104,16 @@ inline std::vector check_layout(const LayoutSpans& g, const LayoutI size_is(g.cost.size(), me, "cost"); size_is(g.src.size(), me, "src"); size_is(g.dst.size(), me, "dst"); - size_is(g.input_positions.size(), me, "input_index"); - size_is(g.outgoing_offsets.size(), np1, "row_offsets"); - size_is(g.incoming_offsets.size(), np1, "in_row_offsets"); - size_is(g.incoming_edges.size(), me, "in_adj_edge_index"); + size_is(g.input_positions.size(), me, "input_positions"); + size_is(g.outgoing_offsets.size(), np1, "outgoing_offsets"); + size_is(g.incoming_offsets.size(), np1, "incoming_offsets"); + size_is(g.incoming_edges.size(), me, "incoming_edges"); size_is(g.incoming_edge_sources.size(), me, "in_col_indices"); if (!bad.empty()) return bad; // 2. Ranges and permutations (values are read, none is used as an index yet). - offsets_ok(g.outgoing_offsets, n, m, "row_offsets", bad); - offsets_ok(g.incoming_offsets, n, m, "in_row_offsets", bad); + offsets_ok(g.outgoing_offsets, n, m, "outgoing_offsets", bad); + offsets_ok(g.incoming_offsets, n, m, "incoming_offsets", bad); for (std::size_t e = 0; e < me; ++e) { if (g.src[e] < 0 || g.src[e] >= n) { bad.emplace_back("range:src"); @@ -209,8 +209,8 @@ inline std::vector check_layout(const LayoutSpans& g, const LayoutI mx = c > mx ? c : mx; gcd = std::gcd(gcd, c); } - if (g.max_edge_cost != mx) bad.emplace_back("scan:max_cost"); - if (g.edge_cost_gcd != gcd) bad.emplace_back("scan:cost_gcd"); + if (g.max_edge_cost != mx) bad.emplace_back("scan:max_edge_cost"); + if (g.edge_cost_gcd != gcd) bad.emplace_back("scan:edge_cost_gcd"); return bad; } diff --git a/tests/cpp/program_tests.cpp b/tests/cpp/program_tests.cpp index 853653a..c2d12d7 100644 --- a/tests/cpp/program_tests.cpp +++ b/tests/cpp/program_tests.cpp @@ -3,7 +3,7 @@ // rule inside one program (cycles included), replay under a failure mask, stale forwarding with // black holes, the operations evaluate, replace and forward with their epochs and flags, the // per-entry records, the by_tunnel rows and their 128-bit counters, the evaluators' offer, and -// the earlier Pinned uses mapped onto programs. Each test checks hand-derived values on small +// common Pinned setups written as programs. Each test checks hand-derived values on small // graphs whose EdgeIds equal their input positions (asserted); none is read from a build. Then the storage of the new layouts (a restricted plan, a forwarding view, an epoch) // against borrowing copies, and a property test of random tunnel programs against the // independent reference of test_utils.hpp (program_reference). @@ -14,6 +14,7 @@ #include #include #include +#include #include #include #include @@ -1778,9 +1779,9 @@ TEST(QueryOptionsEval, PinnedSensitivity) { EXPECT_EQ(w2.baseline.call_delivered, 8); } -// ---------------------------------------------------------------- the earlier Pinned uses mapped +// ---------------------------------------------------------------- common Pinned setups -// Each former Pinned use and its program form. +// Each common Pinned setup and its program form. TEST(PinnedMapping, SingleBundle) { // One EB route DAG (DIAM, the four links). const auto d = graph(4, kDiam); @@ -1797,7 +1798,7 @@ TEST(PinnedMapping, SingleBundle) { .residual = Amounts {100, 50, 100, 50}}); EXPECT_EQ(pinned(d, ws)->place(INF).call_delivered, 150); // Two route DAGs on PAR2(6, 4): separate contexts, RR over the entries: 9; W the same 9; - // Optimized becomes CentralizedTE(support) and fills both: 10. + // an optimized split is CentralizedTE(support) and fills both: 10. const auto p = par2(6, 4); const auto two = program(*p, {0}, {1}, {dag_route(*p, 0, {0}), dag_route(*p, 0, {1})}); EXPECT_EQ(pinned(p, two)->place(INF).call_delivered, 9); @@ -2302,3 +2303,95 @@ TEST(FromDag, Validation) { EXPECT_TRUE(none->tunnels().empty()); EXPECT_EQ(pinned(g, none)->place(INF).termination, Termination::NoRoute); } + +// ---------------------------------------------------------------- the forwarding network's size + +// Each count of a forwarding network is checked against 2^31 - 1 inclusively, with its exact value +// and its name in the text. 10,000 tunnels of 214,749 hops (2,147,490,000 +// occurrences) are refused; exactly 2^31 - 1 passes; 2^31 entries are refused as entries. +TEST(ForwardingSize, EachCountIsCheckedInclusivelyWithItsExactValue) { + using detail::ForwardingCounter; + EXPECT_EQ(detail::kForwardingLimit, 2147483647); + for (const auto c : {ForwardingCounter::Entry, ForwardingCounter::Occurrence, ForwardingCounter::Router, + ForwardingCounter::Event, ForwardingCounter::Dependency}) { + EXPECT_EQ(error_of([&] { detail::check_forwarding_count(c, 2147483647); }), ""); + EXPECT_EQ(error_of([&] { detail::check_forwarding_count(c, 0); }), ""); + } + EXPECT_EQ(error_of([&] { detail::check_forwarding_count(ForwardingCounter::Occurrence, std::int64_t {10000} * 214749); }), + "forwarding occurrence limit exceeded: 2147490000 > 2147483647"); + EXPECT_EQ(error_of([&] { detail::check_forwarding_count(ForwardingCounter::Entry, std::int64_t {1} << 31); }), + "forwarding entry limit exceeded: 2147483648 > 2147483647"); + EXPECT_EQ(error_of([&] { detail::check_forwarding_count(ForwardingCounter::Router, std::int64_t {1} << 31); }), + "forwarding router limit exceeded: 2147483648 > 2147483647"); + EXPECT_EQ(error_of([&] { detail::check_forwarding_count(ForwardingCounter::Event, std::int64_t {1} << 31); }), + "forwarding event limit exceeded: 2147483648 > 2147483647"); + EXPECT_EQ(error_of([&] { detail::check_forwarding_count(ForwardingCounter::Dependency, std::int64_t {1} << 31); }), + "forwarding dependency limit exceeded: 2147483648 > 2147483647"); +} + +// A call counts its network and checks the entry, occurrence and router counts before the network +// is allocated, the event and dependency counts before the event structures: with one counter's +// limit lowered to its count less one for this thread (a hooks build), the call is refused with +// that count, nothing changed; at the count it runs; with every limit at 1 the entries are +// reported first. PAR2(6, 4) with two one-edge route DAGs (two contexts: the general network), +// LOSSY replace(12): 2 entries, 2 occurrences (one member each), 4 routers (two per route), 6 +// units sent on each link; the 4-unit link can drop (one barrier), so 1 + 4 = 5 events and 3 +// dependencies (router to router on the 6-unit link; router to event to router on the other). +// LOSSLESS has no events: its entries, occurrences and routers are checked. DIAM's two 2-hop +// tunnels: 2 entries, 4 occurrences. +TEST(ForwardingSize, TheCallChecksEachCountInOrder) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + using detail::ForwardingCounter; + struct Restore { + ~Restore() { detail::thread_forwarding_limits() = {}; } + } restore; + const auto p2 = par2(6, 4); + const auto two_dags = program(*p2, {0}, {1}, {dag_route(*p2, 0, {0}), dag_route(*p2, 0, {1})}); + const auto d = graph(4, kDiam); + const auto two_tunnels = tunnels(*d, {0}, {3}, {{0, {0, 2}, 1}, {0, {1, 3}, 1}}); + struct Count { + ForwardingCounter counter; + const char* name; + std::int64_t n; + }; + struct Case { + std::shared_ptr g; + std::shared_ptr prog; + Admission admission; + Amount delivered; + std::vector counts; + }; + const std::vector cases { + {p2, two_dags, LOSSY, 10, + {{ForwardingCounter::Entry, "entry", 2}, {ForwardingCounter::Occurrence, "occurrence", 2}, + {ForwardingCounter::Router, "router", 4}, {ForwardingCounter::Event, "event", 5}, + {ForwardingCounter::Dependency, "dependency", 3}}}, + {p2, two_dags, LOSSLESS, 9, + {{ForwardingCounter::Entry, "entry", 2}, {ForwardingCounter::Occurrence, "occurrence", 2}, + {ForwardingCounter::Router, "router", 4}}}, + {d, two_tunnels, LOSSY, 12, {{ForwardingCounter::Entry, "entry", 2}, {ForwardingCounter::Occurrence, "occurrence", 4}}}, + {d, two_tunnels, LOSSLESS, 12, {{ForwardingCounter::Entry, "entry", 2}, {ForwardingCounter::Occurrence, "occurrence", 4}}}, + }; + for (const auto& c : cases) { + auto pol = pinned(c.g, c.prog, c.admission); + for (const auto& k : c.counts) { + const LedgerState before = ledger_state(*pol.ledger); + auto& limits = detail::thread_forwarding_limits(); + limits = {}; + limits[static_cast(k.counter)] = k.n - 1; + EXPECT_EQ(error_of([&] { (void)pol->replace(12); }), std::string("forwarding ") + k.name + " limit exceeded: " + + std::to_string(k.n) + " > " + std::to_string(k.n - 1)); + expect_same(ledger_state(*pol.ledger), before, k.name); + EXPECT_TRUE(pol->records().empty()); + limits[static_cast(k.counter)] = k.n; + EXPECT_EQ(pol->replace(12).call_delivered, c.delivered) << k.name; + pol->remove(); + } + detail::thread_forwarding_limits() = {1, 1, 1, 1, 1}; + EXPECT_EQ(error_of([&] { (void)pol->replace(12); }), "forwarding entry limit exceeded: 2 > 1"); + detail::thread_forwarding_limits() = {}; + } +#else + GTEST_SKIP() << "a lowered limit needs the private hooks"; +#endif +} diff --git a/tests/cpp/route_kernels_tests.cpp b/tests/cpp/route_kernels_tests.cpp index 972edde..efc2a90 100644 --- a/tests/cpp/route_kernels_tests.cpp +++ b/tests/cpp/route_kernels_tests.cpp @@ -3,14 +3,10 @@ // control, the round-robin callback form, the lower-quota division on both sides of 2^64; the // kernel check (the first defect in order, the combination rule alone); plans (membership by // kernel and tie score, split-graph pruning, the walk definition for every kernel), alloc(T) at -// every split, exact T_max against an independent per-node reference, the Lossless -// steps of Optimized (replacement on V = W + own, the cancellation DAG, the equal-optimum and -// cancel-upstream controls, the release witness, the mixed-cost route; randomized steps -// certified on their member subset against an exhaustive optimum or an independent solver, with -// every cost multiplied, and the step certificate's own controls), Weighted and Equal, -// and the Lossy steps (drops, +inf injection; on random DAGs against an independent per-node -// reference). Expected values are the closed forms, the hand derivations given in each test, those -// independent optima and the per-node references. +// every split, exact T_max against an independent per-node reference, the Lossless steps of +// Weighted and Equal, and the Lossy steps (drops, +inf injection; on random DAGs against an +// independent per-node reference). Expected values are the closed forms, the hand derivations +// given in each test and the per-node references. #include #include @@ -229,11 +225,10 @@ std::vector caps(const Graph& g) { } // One Lossless step on a fresh flow at T = 0. -LosslessStep first_step(const Graph& g, const PreparedRoute& plan, const std::vector& view, - std::optional request) { +LosslessStep first_step(const PreparedRoute& plan, const std::vector& view, std::optional request) { const auto v = on_members(plan, view); const std::vector own(plan.forwarding_edges.size(), 0); - return lossless_step(g, plan, 0, v, own, request); + return lossless_step(plan, 0, v, own, request); } // `count` random edges of a DAG whose node ids 0 .. n - 1 are a topological order: each u -> v @@ -377,6 +372,33 @@ TEST(Apportion, RoundRobinCallbackFormEqualsSpanFormAndStopsEarly) { EXPECT_EQ(round_robin(7, 3, [](std::size_t, Amount) { return false; }), 0u); } +// The round-robin increments of a cumulative total X growing by v: RR(X + v) - RR(X) per +// recipient. 2^64 = 3q + 1, so RR(2^64) = (q + 1, q, q) and RR(2^64 + 4) = (q + 2, q + 2, q + 1): +// (1, 2, 1). A small X checks against the definition of round robin (total // k, one more for the +// first total % k) on both totals; one recipient takes v; v = 0 gives zeros; no recipient, +// nothing. +TEST(Apportion, RoundRobinIncrementsOfACumulativeTotal) { + std::vector out(3, -7); + round_robin_increments(Counter128 {1, 0}, 4, out); + EXPECT_EQ(out, (std::vector {1, 2, 1})); + round_robin_increments(Counter128 {1, 0}, 0, out); + EXPECT_EQ(out, (std::vector {0, 0, 0})); + for (Amount x = 0; x < 12; ++x) { + for (Amount v = 0; v < 8; ++v) { + std::vector inc(4); + round_robin_increments(Counter128 {0, static_cast(x)}, v, inc); + auto share = [](Amount total, Amount i) { return total / 4 + (i < total % 4 ? 1 : 0); }; + for (Amount i = 0; i < 4; ++i) { + EXPECT_EQ(inc[static_cast(i)], share(x + v, i) - share(x, i)) << x << " + " << v; + } + } + } + std::vector one(1); + round_robin_increments(Counter128 {5, 9}, 11, one); + EXPECT_EQ(one, (std::vector {11})); + round_robin_increments(Counter128 {5, 9}, 11, std::span {}); +} + TEST(Apportion, ClosedFormEqualsSequentialAndIsHouseMonotone) { std::mt19937 rng(7); int weighted = 0; // allocations that differ from round robin: the weights mattered @@ -842,7 +864,7 @@ TEST(Allocation, SplitAndReconvergeMatchesThePerNodeReferenceAtEveryValue) { Amount total = 0; int steps = 0; while (true) { - const auto step = lossless_step(g, plan, total, vm, own, 1); + const auto step = lossless_step(plan, total, vm, own, 1); if (step.admitted == total) break; ++steps; for (std::size_t m = 0; m < own.size(); ++m) ASSERT_GE(step.edge_flows[m], own[m]); // member-monotone @@ -852,7 +874,7 @@ TEST(Allocation, SplitAndReconvergeMatchesThePerNodeReferenceAtEveryValue) { } EXPECT_EQ(total, brute); EXPECT_EQ(max_lossless_offer(plan, vm).value, brute); - const auto one = first_step(g, plan, view, brute); + const auto one = first_step(plan, view, brute); EXPECT_EQ(one.edge_flows, own); // one call of T_max equals the calls of 1 EXPECT_GT(steps, 5); } @@ -868,11 +890,11 @@ TEST(Allocation, EqualBalancedOnePlusTwoEqualsThree) { const auto plan = plan_of(g, RouteAllocation::Equal, 0, {7}, all_ids(g), caps(g)); const auto vm = on_members(plan, caps(g)); std::vector own(plan.forwarding_edges.size(), 0); - auto s1 = lossless_step(g, plan, 0, vm, own, 1); + auto s1 = lossless_step(plan, 0, vm, own, 1); EXPECT_EQ(dense_input(g, plan, s1.edge_flows), (std::vector{1, 0, 0, 1, 0, 0, 1, 0, 1, 0})); - auto s2 = lossless_step(g, plan, s1.admitted, vm, s1.edge_flows, 2); + auto s2 = lossless_step(plan, s1.admitted, vm, s1.edge_flows, 2); EXPECT_EQ(dense_input(g, plan, s2.edge_flows), (std::vector{1, 1, 1, 1, 1, 1, 2, 1, 2, 1})); - EXPECT_EQ(first_step(g, plan, caps(g), 3).edge_flows, s2.edge_flows); + EXPECT_EQ(first_step(plan, caps(g), 3).edge_flows, s2.edge_flows); } TEST(Allocation, TMaxExactAgainstBruteForce) { @@ -985,7 +1007,7 @@ TEST(Allocation, TMaxSearchIsExactAndWithinTheProbeBudgetOnLargeRanges) { ASSERT_EQ(tm.value, lo) << "trial " << trial; // The Lossless step from T = 0 with a request beyond the maximum lands on the same T. const std::vector zero(plan.forwarding_edges.size(), 0); - const auto step = lossless_step(g, plan, 0, vm, zero, kDomainLimit - 1); + const auto step = lossless_step(plan, 0, vm, zero, kDomainLimit - 1); EXPECT_EQ(step.admitted, lo); EXPECT_LE(step.probes, 62); large += lo >= (Amount {1} << 40) ? 1 : 0; @@ -995,312 +1017,6 @@ TEST(Allocation, TMaxSearchIsExactAndWithinTheProbeBudgetOnLargeRanges) { EXPECT_GT(far, 100); } -TEST(MaxFlowKernel, CancellationDagGivesTwo) { - // A DAG where the second unit needs the first one's edge 1->3 cancelled: place(1) takes - // 0-1-3-5, the next place(1) re-solves on V = W + own and returns the unique value-2 flow (1->3 - // goes to 0). - const std::vector> pairs = {{0, 1}, {0, 2}, {1, 3}, {1, 4}, {2, 3}, {3, 5}, {4, 5}}; - std::vector edges; - for (auto [u, v] : pairs) edges.push_back({u, v, 1, 1}); - auto g = make_graph(6, edges); - const auto plan = plan_of(g, RouteAllocation::Optimized, 0, {5}, all_ids(g), caps(g)); - auto s1 = first_step(g, plan, caps(g), 1); - EXPECT_EQ(dense_input(g, plan, s1.edge_flows), (std::vector{1, 0, 1, 0, 0, 1, 0})); - // The flow's own allocation is in its view (W + own = capacities here). - auto s2 = lossless_step(g, plan, s1.admitted, on_members(plan, caps(g)), s1.edge_flows, 1); - EXPECT_EQ(s2.admitted, 2); - EXPECT_EQ(dense_input(g, plan, s2.edge_flows), (std::vector{1, 1, 0, 1, 1, 1, 1})); - auto s3 = lossless_step(g, plan, s2.admitted, on_members(plan, caps(g)), s2.edge_flows, 1); - EXPECT_EQ(s3.admitted, 2); - EXPECT_EQ(first_step(g, plan, caps(g), 2).edge_flows, s2.edge_flows); - EXPECT_EQ(first_step(g, plan, caps(g), std::nullopt).admitted, 2); -} - -namespace { - -// A graph whose minimum-cost flow cancels earlier flow: s=0; A=1, B=2, C=3; X=4, Y=5; t=6. -std::vector cancel_edges(Cost b_to_y = 9) { - return {{0, 1, 1, 1}, {0, 2, 1, 1}, {0, 3, 1, 1}, {1, 4, 1, 2}, {1, 5, 1, 9}, - {2, 4, 1, 1}, {2, 5, 1, b_to_y}, {3, 4, 1, 3}, {4, 6, 2, 1}, {5, 6, 1, 1}}; -} - -} // namespace - -TEST(MaxFlowKernel, CancelUpstreamMixedCost) { - auto g = make_graph(7, cancel_edges()); - const auto plan = plan_of(g, RouteAllocation::Optimized, 0, {6}, all_ids(g), caps(g)); - const std::vector final_alloc = {1, 1, 1, 0, 1, 1, 0, 1, 2, 1}; - auto one = first_step(g, plan, caps(g), 3); - EXPECT_EQ(dense_input(g, plan, one.edge_flows), final_alloc); - // The sequence 1, 1, 1 with the third call cancelling A->X upstream (a signed delta). - const std::vector> seq = { - {0, 1, 0, 0, 0, 1, 0, 0, 1, 0}, {1, 1, 0, 1, 0, 1, 0, 0, 2, 0}, final_alloc}; - std::vector own(plan.forwarding_edges.size(), 0); - Amount total = 0; - for (const auto& want : seq) { - auto s = lossless_step(g, plan, total, on_members(plan, caps(g)), own, 1); - EXPECT_EQ(s.admitted, total + 1); - EXPECT_EQ(dense_input(g, plan, s.edge_flows), want); - total = s.admitted; - own = s.edge_flows; - } - // The minimum cost over the route: curve (3, 1), (4, 1), (12, 1) totals 19. - Cost cost = 0; - const auto a = dense_input(g, plan, own); - for (std::size_t i = 0; i < a.size(); ++i) cost += a[i] * cancel_edges()[i].cost; - EXPECT_EQ(cost, 19); -} - -TEST(MaxFlowKernel, EqualOptimaFollowTheAscendingEdgeIdOrder) { - // Ties between equal optima follow the arc order (ascending EdgeId): - // with cost(B->Y) = 8 two value-3 optima cost 19; ascending arcs pick the - // flow with Y fed by A, so a later demand on A->X still finds its unit. - auto g = make_graph(7, cancel_edges(8)); - const auto plan = plan_of(g, RouteAllocation::Optimized, 0, {6}, all_ids(g), caps(g)); - auto s = first_step(g, plan, caps(g), 3); - EXPECT_EQ(dense_input(g, plan, s.edge_flows), (std::vector{1, 1, 1, 0, 1, 1, 0, 1, 2, 1})); -} - -TEST(MaxFlowKernel, ReleaseWitnessAndMixedCostBundle) { - // Release witness: two parallel links of cost 4 and 2; the cheap one is held by another owner - // at the first call (the flow takes cost 4); after the release the re-solve on the new view - // moves the unit to the cheap link (0 delivered in that call, allocation moved). - auto g = make_graph(2, {{0, 1, 1, 4}, {0, 1, 1, 2}}); - const auto plan = plan_of(g, RouteAllocation::Optimized, 0, {1}, all_ids(g), caps(g)); - const auto held = to_ids(g, std::vector {1, 0}); - auto s1 = first_step(g, plan, held, 1); - EXPECT_EQ(dense_input(g, plan, s1.edge_flows), (std::vector{1, 0})); - const auto released = to_ids(g, std::vector {0, 1}); // W after the release; own adds 1 on cost 4 - std::vector v(plan.forwarding_edges.size()); - for (std::size_t m = 0; m < v.size(); ++m) v[m] = released[static_cast(plan.forwarding_edges[m])] + s1.edge_flows[m]; - auto s2 = lossless_step(g, plan, 1, v, s1.edge_flows, 1); - EXPECT_EQ(s2.admitted, 2); - // Request 0 more is never sent; a capped re-solve at the same T moves the unit (cost 2). - auto s3 = lossless_step(g, plan, 1, v, s1.edge_flows, 0); - EXPECT_EQ(s3.admitted, 1); - EXPECT_EQ(dense_input(g, plan, s3.edge_flows), (std::vector{0, 1})); - // On a mixed-cost route the 1 + 1 + 1 chain fills before the cost-4 edge. - auto g2 = make_graph(4, {{0, 1, 1, 1}, {1, 2, 1, 1}, {2, 3, 1, 1}, {0, 3, 1, 4}}); - const auto p2 = plan_of(g2, RouteAllocation::Optimized, 0, {3}, all_ids(g2), caps(g2)); - EXPECT_EQ(dense_input(g2, p2, first_step(g2, p2, caps(g2), 1).edge_flows), (std::vector{1, 1, 1, 0})); - EXPECT_EQ(cost_of(g2, p2), 3); -} - -namespace { - -// The certificate of one Optimized-kernel step, independent of the solver: the step's member -// allocation, as a flow on the graph with the members' view and every other edge masked, is -// feasible and conserved from the plan's source to its destinations, has the value -// min(total + request, F_max) (the maximum for a request of +inf) and the minimum cost at that -// value, and its curve has the flow's total and moment and the optimum's cost at every value up -// to it (the curve clauses shared with certify, test_utils.hpp). The optimum is the exhaustive -// one (`tier_a`, small graphs) or the independent Bellman-Ford curve (test_utils.hpp). The -// checker relies on the members lying on walks from the source to its destinations, which end -// there, so that no member enters the source or leaves a destination: the random test below -// checks each plan's members against that walk definition first. Returns the failed clauses. -std::vector certify_step(const Graph& g, const PreparedRoute& plan, const std::vector& view_m, - Amount total, std::optional request, const LosslessStep& step, - bool tier_a) { - std::vector fails; - if (step.edge_flows.size() != plan.forwarding_edges.size()) { - fails.push_back("shape"); - return fails; - } - const auto m = static_cast(g.num_edges()); - const auto n = static_cast(g.num_nodes()); - std::vector view(m, 0); - std::vector flow(m, 0); - std::vector member(m, 0); - for (std::size_t k = 0; k < plan.forwarding_edges.size(); ++k) { - const auto e = static_cast(plan.forwarding_edges[k]); - member[e] = 1; - view[e] = view_m[k]; - flow[e] = step.edge_flows[k]; - if (step.edge_flows[k] < 0 || step.edge_flows[k] > view_m[k]) fails.push_back("feasibility at member " + std::to_string(k)); - } - std::vector outside; - for (std::size_t e = 0; e < m; ++e) { - if (member[e] == 0) outside.push_back(static_cast(e)); - } - const auto mask = g.eligibility({}, outside); - std::vector bal(n, 0); - for (std::size_t e = 0; e < m; ++e) { - bal[static_cast(g.edge_sources()[e])] -= flow[e]; - bal[static_cast(g.edge_destinations()[e])] += flow[e]; - } - const Int128 moment = flow_cost(g, flow); - const std::vector src(plan.sources.begin(), plan.sources.end()); - const std::vector dsts(plan.destinations.begin(), plan.destinations.end()); - Int128 inflow = 0; - for (std::size_t v = 0; v < n; ++v) { - if (static_cast(v) == plan.sources.front()) continue; - if (std::find(dsts.begin(), dsts.end(), static_cast(v)) != dsts.end()) { - inflow += bal[v]; - } else if (bal[v] != 0) { - fails.push_back("conservation at node " + std::to_string(v)); - } - } - if (-bal[static_cast(plan.sources.front())] != step.admitted || inflow != step.admitted) { - fails.push_back("value differs from supply or inflow"); - } - // The optimum's cost at every value up to F_max, as breakpoints. - std::vector> optimum; - if (tier_a) { - for (const auto& [x, c] : exhaustive_costs(g, view, src, dsts, &mask)) optimum.emplace_back(x, c); - } else { - optimum = independent_curve(g, view, src, dsts, &mask); - } - const Amount fmax = optimum.back().first; - const Amount top = request.has_value() ? std::min(total + *request, fmax) : fmax; - if (step.admitted != top) fails.push_back("placed differs from min(cap, F_max)"); - if (step.admitted >= 0 && step.admitted <= fmax && moment != curve_at(optimum, step.admitted)) { - fails.push_back("cost differs from the optimum"); - } - const auto pts = curve_shape_clauses(step.marginal_cost_curve, step.admitted, moment, fails); - curve_optimum_clause(pts, optimum, std::min(step.admitted, fmax), "the optimum", fails); - return fails; -} - -} // namespace - -TEST(MaxFlowKernel, StepCertificateRejectsMutatedSteps) { - // The step certificate is not vacuous: each clean step certifies, then each mutation is rejected - // by the clause it breaks. - using Fails = std::vector; - auto mutated = [](const Graph& g, const PreparedRoute& plan, std::optional request, - const std::function& mutate) { - const auto vm = on_members(plan, caps(g)); - auto step = first_step(g, plan, caps(g), request); - EXPECT_TRUE(certify_step(g, plan, vm, 0, request, step, true).empty()); - mutate(step); - return certify_step(g, plan, vm, 0, request, step, true); - }; - // The chain 0 -> 1 -> 2 of capacity 2: two units, members in chain order. - const auto chain = make_graph(3, {{0, 1, 2, 1}, {1, 2, 2, 1}}); - const auto cp = plan_of(chain, RouteAllocation::Optimized, 0, {2}, all_ids(chain), caps(chain)); - ASSERT_EQ(cp.forwarding_edges.size(), 2U); - EXPECT_EQ(mutated(chain, cp, std::nullopt, [](auto& s) { s.edge_flows.push_back(0); }), Fails {"shape"}); - EXPECT_TRUE(has_failure(mutated(chain, cp, std::nullopt, [](auto& s) { s.edge_flows = {3, 3}; }), "feasibility at member 0")); - EXPECT_TRUE(has_failure(mutated(chain, cp, std::nullopt, [](auto& s) { s.edge_flows = {-1, -1}; }), "feasibility at member 0")); - // One unit less into node 1 lowers the supply only, one unit less out of it the inflow only. - for (const std::size_t k : {std::size_t {0}, std::size_t {1}}) { - const auto f = mutated(chain, cp, std::nullopt, [&](auto& s) { s.edge_flows[k] = 1; }); - EXPECT_TRUE(has_failure(f, "conservation at node 1")) << k; - EXPECT_TRUE(has_failure(f, "value differs from supply or inflow")) << k; - } - // A capped step (request 1) certified as if the request were 2: the value alone differs. - { - const auto vm = on_members(cp, caps(chain)); - const auto step = first_step(chain, cp, caps(chain), 1); - EXPECT_EQ(certify_step(chain, cp, vm, 0, 2, step, true), Fails {"placed differs from min(cap, F_max)"}); - } - // Parallel members of cost 1 and 3 and capacity 1: the first unit on the cheap one, the curve - // [(1, 1), (3, 1)] for both. The unit moved to the costly member keeps the value; the curve's - // last volume raised breaks its total; its first cost raised breaks its moment; the one tier - // [(2, 2)] keeps the total and the moment but not the optimum at 1. - const auto par = make_graph(2, {{0, 1, 1, 1}, {0, 1, 1, 3}}); - const auto pp = plan_of(par, RouteAllocation::Optimized, 0, {1}, all_ids(par), caps(par)); - ASSERT_EQ(pp.forwarding_edges.size(), 2U); - EXPECT_TRUE(has_failure(mutated(par, pp, 1, [](auto& s) { s.edge_flows = {0, 1}; }), "cost differs from the optimum")); - EXPECT_TRUE(has_failure(mutated(par, pp, std::nullopt, [](auto& s) { s.marginal_cost_curve = {{1, 1}, {3, 2}}; }), - "curve total differs from placed")); - EXPECT_TRUE(has_failure(mutated(par, pp, std::nullopt, [](auto& s) { s.marginal_cost_curve = {{2, 1}, {3, 1}}; }), - "curve moment differs from the flow cost")); - EXPECT_EQ(mutated(par, pp, std::nullopt, [](auto& s) { s.marginal_cost_curve = {{2, 2}}; }), - Fails {"curve differs from the optimum at 1"}); - // The curve's shape, each the only failure: an entry of volume 0 between the two (total, moment - // and the curve's values unchanged), and the chain's one tier [(2, 2)] split in two at its cost. - EXPECT_EQ(mutated(par, pp, std::nullopt, [](auto& s) { s.marginal_cost_curve = {{1, 1}, {2, 0}, {3, 1}}; }), - Fails {"curve volume not positive"}); - EXPECT_EQ(mutated(chain, cp, std::nullopt, [](auto& s) { s.marginal_cost_curve = {{2, 1}, {2, 1}}; }), - Fails {"curve costs not strictly increasing"}); - // The guard of the replacement solve: a committed total beyond what the view can carry. - const auto vm = on_members(pp, caps(par)); - const std::vector own(pp.forwarding_edges.size(), 0); - try { - (void)lossless_step(par, pp, 3, vm, own, 1); - ADD_FAILURE() << "no exception"; - } catch (const std::logic_error& e) { - EXPECT_STREQ(e.what(), "Optimized kernel: the replacement solve lost committed flow"); - } -} - -TEST(MaxFlowKernel, RandomStepsAreCertifiedOnTheirSubset) { - // Random DAG plans (nonuniform costs, parallel edges, a route that is a random subset of the - // edges, one or two destinations), each placed in three steps on a changing view V = W + own (W - // drawn below the capacity left beside the flow's own allocation) with a request of +inf, 0 or - // a few units: every step certified on its member subset (the other edges masked), the small - // graphs against the exhaustive optimum, the others against the independent solver. The same - // steps with every cost multiplied give the same allocations and the curve's costs multiplied. - std::mt19937_64 rng(5005); - int positive = 0; // steps that place - int capped = 0; // steps stopped by their request below the maximum - int cancelled = 0; // steps that take back part of the flow's own allocation - for (int trial = 0; trial < 400; ++trial) { - const bool tier_a = trial % 2 == 0; - const int n = tier_a ? 3 + static_cast(rng() % 4) : 6 + static_cast(rng() % 9); - const int m = tier_a ? 3 + static_cast(rng() % 5) : n + static_cast(rng() % (2 * n)); - const Amount max_cap = tier_a ? 2 : 40; - const Cost max_edge_cost = tier_a ? 6 : 40; - const auto edges = random_dag_edges( - rng, n, m, [&] { return static_cast(rng() % static_cast(max_cap + 1)); }, - [&] { return static_cast(1 + rng() % static_cast(max_edge_cost)); }); - const auto g = make_graph(n, edges); - auto scaled_edges = edges; - for (auto& e : scaled_edges) e.cost *= 1000003; - const auto scaled = make_graph(n, scaled_edges); - std::vector route; - for (EdgeId e = 0; e < g.num_edges(); ++e) { - if (rng() % 5 != 0) route.push_back(e); - } - std::vector dsts = {n - 1}; - if (rng() % 2 == 0) dsts.insert(dsts.begin(), n - 2); - const auto plan = plan_of(g, RouteAllocation::Optimized, 0, dsts, route, caps(g)); - ASSERT_EQ(plan.forwarding_edges, walk_members(g, route, 0, dsts)) << "trial " << trial; // every route edge on a walk - const auto scaled_plan = plan_of(scaled, RouteAllocation::Optimized, 0, dsts, route, caps(scaled)); - ASSERT_EQ(scaled_plan.forwarding_edges, plan.forwarding_edges) << "trial " << trial; // scaling keeps the EdgeId order - std::vector own(plan.forwarding_edges.size(), 0); - Amount total = 0; - for (int k = 0; k < 3; ++k) { - std::vector vm(plan.forwarding_edges.size()); - for (std::size_t j = 0; j < vm.size(); ++j) { - const Amount cap = g.edge_capacity_units()[static_cast(plan.forwarding_edges[j])]; - vm[j] = own[j] + static_cast(rng() % static_cast(cap - own[j] + 1)); - } - const std::uint64_t kind = rng() % 4; - const std::optional request = - kind == 0 ? std::nullopt : std::optional(static_cast(kind == 1 ? 0 : rng() % 4)); - const auto step = lossless_step(g, plan, total, vm, own, request); - const std::string where = "trial " + std::to_string(trial) + " step " + std::to_string(k); - const auto fails = certify_step(g, plan, vm, total, request, step, tier_a); - ASSERT_TRUE(fails.empty()) << where << ": " << fails.front(); - const auto other = lossless_step(scaled, scaled_plan, total, vm, own, request); - ASSERT_EQ(other.admitted, step.admitted) << where; - ASSERT_EQ(other.edge_flows, step.edge_flows) << where; - ASSERT_EQ(other.marginal_cost_curve.size(), step.marginal_cost_curve.size()) << where; - for (std::size_t i = 0; i < step.marginal_cost_curve.size(); ++i) { - ASSERT_EQ(other.marginal_cost_curve[i].first, step.marginal_cost_curve[i].first * 1000003) << where; - ASSERT_EQ(other.marginal_cost_curve[i].second, step.marginal_cost_curve[i].second) << where; - } - positive += step.admitted > 0 ? 1 : 0; - const Amount fmax = independent_curve(g, [&] { - std::vector view(static_cast(g.num_edges()), 0); - for (std::size_t j = 0; j < vm.size(); ++j) view[static_cast(plan.forwarding_edges[j])] = vm[j]; - return view; - }(), std::vector {0}, dsts, nullptr).back().first; - capped += request.has_value() && step.admitted < fmax ? 1 : 0; - bool took_back = false; - for (std::size_t j = 0; j < own.size(); ++j) took_back = took_back || step.edge_flows[j] < own[j]; - cancelled += took_back ? 1 : 0; - own = step.edge_flows; - total = step.admitted; - } - } - EXPECT_GT(positive, 240); - EXPECT_GT(capped, 150); - EXPECT_GT(cancelled, 30); -} - TEST(WeightedKernel, CapacityVersusResidualMembershipAfterOccupancy) { // Weighted membership by capacity versus a residual snapshot after occupancy: parallel links // [4, 4], another owner holds 3 on link 0 (residual [1, 4]). @@ -1308,7 +1024,7 @@ TEST(WeightedKernel, CapacityVersusResidualMembershipAfterOccupancy) { auto run = [&](WeightBasis prio, std::vector residual_in, Amount request) { const auto w = to_ids(g, residual_in); const auto plan = plan_of(g, RouteAllocation::Weighted, 0, {1}, all_ids(g), w, prio); - auto s = first_step(g, plan, w, request); + auto s = first_step(plan, w, request); return std::make_pair(s.admitted, dense_input(g, plan, s.edge_flows)); }; EXPECT_EQ(run(WeightBasis::ResidualSnapshot, {1, 4}, 5), std::make_pair(Amount {5}, std::vector{1, 4})); @@ -1319,12 +1035,12 @@ TEST(WeightedKernel, CapacityVersusResidualMembershipAfterOccupancy) { const auto held = to_ids(g, std::vector {0, 4}); const auto free = to_ids(g, std::vector {4, 4}); const auto pc = plan_of(g, RouteAllocation::Weighted, 0, {1}, all_ids(g), held, WeightBasis::Capacity); - auto c = lossless_step(g, pc, 0, on_members(pc, free), std::vector(pc.forwarding_edges.size(), 0), 5); + auto c = lossless_step(pc, 0, on_members(pc, free), std::vector(pc.forwarding_edges.size(), 0), 5); EXPECT_EQ(dense_input(g, pc, c.edge_flows), (std::vector{3, 2})); const auto pr = plan_of(g, RouteAllocation::Weighted, 0, {1}, all_ids(g), held, WeightBasis::ResidualSnapshot); - auto first = first_step(g, pr, held, 5); + auto first = first_step(pr, held, 5); // After the release V = W + own on the one member is its capacity 4. - auto again = lossless_step(g, pr, first.admitted, on_members(pr, free), first.edge_flows, 5); + auto again = lossless_step(pr, first.admitted, on_members(pr, free), first.edge_flows, 5); EXPECT_EQ(again.admitted, 4); // the plan has one member; weights never renormalised } @@ -1335,9 +1051,9 @@ TEST(WeightedKernel, OnePlusFiveEqualsSix) { const auto plan = plan_of(g, RouteAllocation::Weighted, 0, {2}, all_ids(g), caps(g), WeightBasis::Capacity); const auto vm = on_members(plan, caps(g)); std::vector zero(plan.forwarding_edges.size(), 0); - auto a = lossless_step(g, plan, 0, vm, zero, 1); - auto b = lossless_step(g, plan, a.admitted, vm, a.edge_flows, 5); - auto c = lossless_step(g, plan, 0, vm, zero, 6); + auto a = lossless_step(plan, 0, vm, zero, 1); + auto b = lossless_step(plan, a.admitted, vm, a.edge_flows, 5); + auto c = lossless_step(plan, 0, vm, zero, 6); // By hand, D'Hondt over the source weights [2, 6] (each unit to the larger w / (a + 1), ties to // the lower index): the first unit to 0 -> 2; 6 units give [1, 5] (the third unit is the tie // 2 / 1 = 6 / 3), and node 1 passes its unit on over 1 -> 2. Every amount fits its capacity, diff --git a/tests/py/helpers.py b/tests/py/helpers.py index ef02b9d..db02aa5 100644 --- a/tests/py/helpers.py +++ b/tests/py/helpers.py @@ -83,6 +83,13 @@ def ids(g, positions): return sorted(int(e) for e, p in enumerate(g.input_positions()) if int(p) in wanted) +def assert_ints(values, optional=False): + """Every value is exactly an int: not a bool, not a float equal to it (None too when optional). + Equality alone passes 3.0 for 3.""" + for v in values: + assert type(v) is int or (optional and v is None), (v, type(v).__name__) + + def dag_of(g, edges): """The PredecessorDAG of a set of EdgeIds, through the public PredecessorDAG.from_csr.""" per = [[] for _ in range(g.num_nodes())] @@ -236,14 +243,18 @@ def full_ledger_state(ledger): return [ledger._state(), ledger_state(ledger)] -def sweep_python_allocation(make, limit=400): +def sweep_python_allocation(make, limit=400, collect=True): """The all-or-nothing sweep of a call's Python object allocations (private hooks needed). make() gives fresh (fn, args, snapshot); attempt k = 0, 1, ... makes the k-th Python object allocation of fn(*args) fail, until a call completes. Every reached failure raises - MemoryError or RuntimeError with no value and leaves snapshot() as it was, and the same call + MemoryError (exactly that class) with no value and leaves snapshot() as it was, and the same call then returns the reference (the plain() value of a call on fresh state); the call that completes returns the reference after each of its allocations failed exactly once. Returns - the number of failures, for the caller's check that the sweep is not vacuous.""" + the number of failures, for the caller's check that the sweep is not vacuous. collect (the + default): a full collection (gc.collect()) before each attempt empties CPython's free lists, so + every int, float, list and tuple the call makes is a new allocation that the attempt can fail.""" + import gc + import _netgraph_core as ext fn, args, _ = make() @@ -252,6 +263,8 @@ def sweep_python_allocation(make, limit=400): for k in range(limit): fn, args, snapshot = make() before = snapshot() + if collect: + gc.collect() hit, seen, value, error = ext._fail_python_allocation(fn, args, k) where = (getattr(fn, "__name__", fn), k) if not hit: @@ -262,7 +275,7 @@ def sweep_python_allocation(make, limit=400): failures += 1 # A reached failure propagates: a call that absorbed it and returned a value fails here. assert value is None, (where, value) - assert isinstance(error, (MemoryError, RuntimeError)), (where, repr(error)) + assert type(error) is MemoryError, (where, repr(error)) assert snapshot() == before, where assert plain(fn(*args)) == want, where pytest.fail(f"{getattr(fn, '__name__', fn)} never completed") diff --git a/tests/py/removed_names_reviewed.txt b/tests/py/removed_names_reviewed.txt index c0bd76a..a6be295 100644 --- a/tests/py/removed_names_reviewed.txt +++ b/tests/py/removed_names_reviewed.txt @@ -14,10 +14,10 @@ FlowLedger | placed | only by reset(); the records are the flows placed on it by FlowPolicyConfig | edge_weights | for DistributedTE, the ceilings, min_unreserved_bandwidth an | ShortestPaths.edge_weights, where the field now lives FlowRecord | entry | sources, destinations, admission, entry_id (a T1, T2 or Pinn | an entry of a program, an array or a CSR list FlowRecord.entry_id | entry | the program entry the record carries (T1, T2 and Pinned: the | an entry of a program, an array or a CSR list -ForwardingProgram | weights | An immutable value: one demand's routes and integer weights. | WEIGHTED's member weights -ForwardingProgram | weights | highest averages over its entries' weights; identical routes | WEIGHTED's member weights +ForwardingProgram | weights | An immutable value: one demand's routes and integer weights. | a program entry's integer weight (its share among its head's entries) +ForwardingProgram | weights | highest averages over its entries' weights; identical routes | a program entry's integer weight (its share among its head's entries) ForwardingProgram.from_dag | allocated | allocated equally and pooled at every shared router exactly | allocated memory, storage or amounts -ForwardingProgram.source_weights | weights | the captured source weights ((source, weight), ascending), o | WEIGHTED's member weights +ForwardingProgram.source_weights | weights | the captured source weights ((source, weight), ascending), o | the captured source weights of a program's injection Graph | cost | Costs are positive integers; capacities are int64 units of t | an edge's or a path's cost (Path.cost is the current name) Graph | cost | given in input order and numbered by sorting on (source, cos | an edge's or a path's cost (Path.cost is the current name) Graph.__init__ | cost | capacity and cost sums below 2^62). Integers are read withou | an edge's or a path's cost (Path.cost is the current name) @@ -37,9 +37,9 @@ README.md | Route | ### Route structures | a route or routes (a heading such as README.md | Route | - **Route allocations**, the rules that spread one flow over | a route or routes (a heading such as 'Route structures' or 'Routes') README.md | Route | - **Route choice**: one tie rule, `RouteTieBreak` (`FEWER_HO | a route or routes (a heading such as 'Route structures' or 'Routes') README.md | cost | fixed order (the resolution, the unit values, the shapes, ze | an edge's or a path's cost (Path.cost is the current name) -README.md | count | `TunnelCount(L, up_to=True)` chooses the smallest common cou | the tunnel count -README.md | count | unchanged, except that a call raising `ShortestPathCacheMiss | the tunnel count -README.md | count | without a tunnel count, an ideal controller: the minimum-cos | the tunnel count +README.md | count | `TunnelCount(L, up_to=True)` chooses the smallest common cou | the tunnel count (tunnels per head) +README.md | count | unchanged, except that a call raising `ShortestPathCacheMiss | the verb 'to count' (a tally), not a tunnel count +README.md | count | without a tunnel count, an ideal controller: the minimum-cos | the tunnel count (tunnels per head) README.md | drops | by hop and records what it drops. | losses on links or at a source README.md | edge_weights | `allocation=WEIGHTED` is WCMP with its `weight_basis` and `e | ShortestPaths.edge_weights, where the field now lives README.md | edge_weights | edge_weights=None, tie_break=FEWER_HOPS, multipath=True, par | ShortestPaths.edge_weights, where the field now lives @@ -47,7 +47,6 @@ README.md | edges | `saturated_boundary_edges(sources)` lists the full edges lea README.md | placed | `edge_flows`, `edge_drops` and `edge_reservations`) are the | traffic placed (delivered) on a ledger README.md | placement | placement engine for one demand, bound to its ledger. `FlowP | placing traffic README.md | tunnels | and splits equally over their up tunnels; | a model's tunnels (ForwardingProgram.tunnels is the current name) -README.md | tunnels | design; a `support` restricts the tunnels to its edges. The | a model's tunnels (ForwardingProgram.tunnels is the current name) README.md | tunnels | design_demand=None)` publishes it (T1 sets its tunnels up an | a model's tunnels (ForwardingProgram.tunnels is the current name) README.md | tunnels | equally over the heads and their tunnels, each tunnel runs C | a model's tunnels (ForwardingProgram.tunnels is the current name) README.md | tunnels | nothing; the policy's Eligibility fails the tunnels it touch | a model's tunnels (ForwardingProgram.tunnels is the current name) @@ -55,20 +54,19 @@ README.md | tunnels | program (T1 keeps its tunnels and holds, T2 its tunnels an README.md | tunnels | single-path tunnels with one common whole-unit planned bandw | a model's tunnels (ForwardingProgram.tunnels is the current name) README.md | tunnels | strict-bandwidth tunnels, as RSVP-TE head ends do, with no c | a model's tunnels (ForwardingProgram.tunnels is the current name) README.md | volume | strict-bandwidth tunnels, as RSVP-TE head ends do, with no c | the design volume D of the tunnel models -README.md | weights | - **`ForwardingProgram`**: the routes and integer weights of | WEIGHTED's member weights +README.md | weights | - **`ForwardingProgram`**: the routes and integer weights of | a program entry's integer weight (its share among its head's entries) ShortestPaths.edge_weights | weights | the explicit weights (one int per edge, a tuple), or None | WEIGHTED's member weights SourceFlow.total_edge_drops | dropped | LOSSY: its units dropped on links; 0 when LOSSLESS | traffic dropped on a link or at a black hole Tunnel | planned | planned_bandwidth: T2's planned bandwidth | T2's planned bandwidth -TunnelCount | count | The tunnel count of T1 (DistributedTE) and T2, per head: per | the tunnel count -TunnelCount | count | policy or an evaluator uses it). up_to=True (T2 only; T1 rej | the tunnel count -TunnelCount.per_head | count | the tunnels per head (the largest count for up_to) | the tunnel count -TunnelCount.up_to | count | True: the smallest sufficient count up to per_head (T2 only) | the tunnel count +TunnelCount | count | The tunnel count of T1 (DistributedTE) and T2, per head: per | the tunnel count (tunnels per head) +TunnelCount | count | policy or an evaluator uses it). up_to=True (T2 only; T1 rej | the tunnel count (tunnels per head) +TunnelCount.per_head | count | the tunnels per head (the largest count for up_to) | the tunnel count (tunnels per head) TunnelFlow.total_edge_drops | dropped | its units dropped on links | traffic dropped on a link or at a black hole -TunnelPlan | count | The tunnel models' setup summary (read-only): tunnels_per_he | the tunnel count +TunnelPlan | count | The tunnel models' setup summary (read-only): tunnels_per_he | the tunnel count (tunnels per head) TunnelPlan | volume | design_demand (the design volume D in units), design_by_head | the design volume D of the tunnel models TunnelPlan.design_demand | volume | the design volume D in units; float('inf') when unlimited | the design volume D of the tunnel models -TunnelPlan.total_tunnel_cost | count | T2: the sum of cost * tunnel count over the links (exact; ca | the tunnel count -TunnelPlan.tunnels_per_head | count | the tunnels per head (T2 up to: the chosen count) | the tunnel count +TunnelPlan.total_tunnel_cost | count | T2: the sum of cost * tunnel count over the links (exact; ca | the number of tunnels using each link +TunnelPlan.tunnels_per_head | count | the tunnels per head (T2 up to: the chosen count) | the tunnel count (tunnels per head) bindings/python/hooks.cpp | allocated | are counted, so a test also sees what a failed call left all | allocated memory, storage or amounts bindings/python/publication.hpp | allocated | The checked construction of result objects: the Python objec | allocated memory, storage or amounts bindings/python/publication.hpp | allocated | value (std::shared_ptr also deletes it when its control bloc | allocated memory, storage or amounts @@ -89,9 +87,9 @@ code:tests/py/test_centralized_te_tunnels.py | priority | priority | the retired code:tests/py/test_configuration.py | origin | origin | the retired keyword passed on purpose: the test checks it is rejected code:tests/py/test_configuration.py | selection | selection | the retired keyword passed on purpose: the test checks it is rejected code:tests/py/tunnel_oracle.py | priority | priority | the oracle's tie score of an edge (as the library's internal priority_value) -dev/perf/aba.py | selection | row, and a selection has at least one (``choose_rows``). | the timing report's `selection` record (its JSON key is kept) -dev/perf/aba.py | selection | selection, ``--iters`` (the pins) and the report's start. Re | the timing report's `selection` record (its JSON key is kept) -dev/perf/aba.py | selection | their groups it did not, and per group the rows the whole se | the timing report's `selection` record (its JSON key is kept) +dev/perf/aba.py | selection | row, and a selection has at least one (``choose_rows``). | the timing tool's row selection (--rows) +dev/perf/aba.py | selection | selection, ``--iters`` (the pins) and the report's start. Re | the timing tool's row selection (--rows) +dev/perf/aba.py | selection | their groups it did not, and per group the rows the whole se | the timing tool's row selection (--rows) dev/perf/aba_api.hpp | dst | * ksp (ksp.fabric3_k8): ksp(g, src, dst, KspOptions(k)) (FEW | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) dev/perf/aba_api.hpp | dst | * spf_dag (spf.dag.*): spf(g, {src}, Forward, targets {dst}) | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) dev/perf/aba_api.hpp | dst | * spf_path (spf.single.canonical16k): spf(g, {src}, Forward, | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) @@ -121,8 +119,8 @@ dev/perf/aba_rows.hpp | src | The full-content digest of an input: n and E, then dev/perf/aba_rows.hpp | src | of input positions where src decreases, and whether the inpu | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) dev/perf/aba_rows.hpp | src | recovered from the same draws (1 + k for the generator's 1 + | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) dev/perf/test_tool.py | allocated | the per-iteration bookkeeping is allocated before the setup | allocated memory, storage or amounts -dev/perf/test_tool.py | selection | main's character check passes '?', '[', ']' and '!' on to th | the timing report's `selection` record (its JSON key is kept) -dev/perf/test_tool.py | selection | memory rule, the verdicts, the bootstrap interval, the clust | the timing report's `selection` record (its JSON key is kept) +dev/perf/test_tool.py | selection | main's character check passes '?', '[', ']' and '!' on to th | the timing tool's row selection (--rows) +dev/perf/test_tool.py | selection | memory rule, the verdicts, the bootstrap interval, the clust | the timing tool's row selection (--rows) docs/semantics.md | Residual | - **EdgeId order is the coordinate of every per-edge value.* | the term 'Residual' (an edge's free capacity) docs/semantics.md | Residual | - **Residual gating** (only when a `residual` array is suppl | the term 'Residual' (an edge's free capacity) docs/semantics.md | Residual | - **Residual gating** at 1 unit when a residual is supplied. | the term 'Residual' (an edge's free capacity) @@ -145,26 +143,26 @@ docs/semantics.md | cost | bounds (node ids in range, then the capacity and cost docs/semantics.md | cost | capacity sum before the cost sum at the same edge). Integers | an edge's or a path's cost (Path.cost is the current name) docs/semantics.md | cost | public number, its EdgeId, by sorting the edges by source, c | an edge's or a path's cost (Path.cost is the current name) docs/semantics.md | cost | `NodeId`, `EdgeId` (`int32`), the cost and amount aliases (` | an edge's or a path's cost (Path.cost is the current name) -docs/semantics.md | count | (`DistributedTE requires an exact tunnel count`), then the c | the tunnel count -docs/semantics.md | count | - **Count outcomes.** An empty roster gives an empty program | the tunnel count -docs/semantics.md | count | - **Routes.** At u, among the count vectors `x` (the tunnels | the tunnel count -docs/semantics.md | count | - **Sizing.** `H` roster heads in ascending node id, `N = tu | the tunnel count -docs/semantics.md | count | 10000]`; `TunnelCount(per_head)` itself takes any 64-bit int | the tunnel count -docs/semantics.md | count | Admission `LOSSLESS` or `LOSSY`. No path-cost ceiling. The t | the tunnel count -docs/semantics.md | count | Eligibility. Every step (roster, live heads, sizing, count c | the tunnel count -docs/semantics.md | count | Then each model's own fields: the tunnel count in `[1, 10000 | the tunnel count -docs/semantics.md | count | `TunnelCount(L, up_to=True)` gives every head one common cou | the tunnel count -docs/semantics.md | count | carried loads per edge: summing them counts every hop, not t | the tunnel count -docs/semantics.md | count | common count that carries the live heads' design shares (or | the tunnel count -docs/semantics.md | count | for T1 (`L` counts for "up to"). | the tunnel count -docs/semantics.md | count | is never held. A tunnel count is a number of setup attempts | the tunnel count -docs/semantics.md | count | never grows with `k` (once it is 0, every later count scores | the tunnel count -docs/semantics.md | count | partial hold, retry, growth or count reduction; `min_unreser | the tunnel count -docs/semantics.md | count | result. A failed lookup counts one miss. A frozen cache neve | the tunnel count -docs/semantics.md | count | sum of cost[e] * x[e]` (`total_tunnel_cost`; idle tunnels co | the tunnel count -docs/semantics.md | count | the share. `a` live heads, `k` tunnels each (`N`, or the cho | the tunnel count -docs/semantics.md | count | then roster position `i`, with the entry identifier `j * H + | the tunnel count -docs/semantics.md | count | without a tunnel count, and `ShortestPaths` with `allocation | the tunnel count +docs/semantics.md | count | (`DistributedTE requires an exact tunnel count`), then the c | the tunnel count (tunnels per head) +docs/semantics.md | count | - **Count outcomes.** An empty roster gives an empty program | the tunnel count (tunnels per head) +docs/semantics.md | count | - **Routes.** At u, among the count vectors `x` (the tunnels | a vector of per-link tunnel counts (the tunnels on each link) +docs/semantics.md | count | - **Sizing.** `H` roster heads in ascending node id, `N = tu | the tunnel count (tunnels per head) +docs/semantics.md | count | 10000]`; `TunnelCount(per_head)` itself takes any 64-bit int | the tunnel count (tunnels per head) +docs/semantics.md | count | Admission `LOSSLESS` or `LOSSY`. No path-cost ceiling. The t | the tunnel count (tunnels per head) +docs/semantics.md | count | Eligibility. Every step (roster, live heads, sizing, count c | the tunnel count (tunnels per head) +docs/semantics.md | count | Then each model's own fields: the tunnel count in `[1, 10000 | the tunnel count (tunnels per head) +docs/semantics.md | count | `TunnelCount(L, up_to=True)` gives every head one common cou | the tunnel count (tunnels per head) +docs/semantics.md | count | carried loads per edge: summing them counts every hop, not t | the verb 'to count' (a tally), not a tunnel count +docs/semantics.md | count | common count that carries the live heads' design shares (or | the tunnel count (tunnels per head) +docs/semantics.md | count | for T1 (`L` counts for "up to"). | the verb 'to count' (a tally), not a tunnel count +docs/semantics.md | count | is never held. A tunnel count is a number of setup attempts | the tunnel count (tunnels per head) +docs/semantics.md | count | never grows with `k` (once it is 0, every later count scores | the tunnel count (tunnels per head) +docs/semantics.md | count | partial hold, retry, growth or count reduction; `min_unreser | reducing the number of tunnels +docs/semantics.md | count | result. A failed lookup counts one miss. A frozen cache neve | the verb 'to count' (a tally), not a tunnel count +docs/semantics.md | count | sum of cost[e] * x[e]` (`total_tunnel_cost`; idle tunnels co | the verb 'to count' (a tally), not a tunnel count +docs/semantics.md | count | the share. `a` live heads, `k` tunnels each (`N`, or the cho | the tunnel count (tunnels per head) +docs/semantics.md | count | then roster position `i`, with the entry identifier `j * H + | the verb 'to count' (a tally), not a tunnel count +docs/semantics.md | count | without a tunnel count, and `ShortestPaths` with `allocation | the tunnel count (tunnels per head) docs/semantics.md | dropped | carries traffic. Records and `OutputOptions` give the carrie | traffic dropped on a link or at a black hole docs/semantics.md | drops | - **The lossless bound.** A Lossless call forwards each entr | losses on links or at a source docs/semantics.md | drops | forwards hop by hop and drops what does not fit on each edge | losses on links or at a source @@ -274,28 +272,28 @@ docs/semantics.md | volume | volume, take whole offers only). `evaluate`, `repla docs/semantics.md | weights | (`EQUAL`) or by highest averages over the weights (`WEIGHTED | WEIGHTED's member weights docs/semantics.md | weights | (`from_dag allocation must be EQUAL or WEIGHTED`) and the we | WEIGHTED's member weights docs/semantics.md | weights | - **EdgeId order is the coordinate of every per-edge value.* | WEIGHTED's member weights -docs/semantics.md | weights | - **Highest averages `H(x, w)`.** `x` units over members wit | WEIGHTED's member weights -docs/semantics.md | weights | - **Program.** A `ForwardingProgram`: the routes and integer | WEIGHTED's member weights +docs/semantics.md | weights | - **Highest averages `H(x, w)`.** `x` units over members wit | the weights of highest averages (members or entries) +docs/semantics.md | weights | - **Program.** A `ForwardingProgram`: the routes and integer | a program entry's integer weight (its share among its head's entries) docs/semantics.md | weights | - **The tie rule never supplies weights** (`ShortestPaths` ` | WEIGHTED's member weights -docs/semantics.md | weights | - **`Pinned`** forwards its program as given, computing noth | WEIGHTED's member weights +docs/semantics.md | weights | - **`Pinned`** forwards its program as given, computing noth | a program entry's integer weight (its share among its head's entries) docs/semantics.md | weights | - **`WEIGHTED`** splits at every node by highest averages ov | WEIGHTED's member weights docs/semantics.md | weights | - The roster is rebuilt from the program's **basis**, ignori | WEIGHTED's member weights docs/semantics.md | weights | 6. the weights: `weight_basis requires allocation=WEIGHTED`; | WEIGHTED's member weights -docs/semantics.md | weights | allocation the program keeps the solved supplies as **captur | WEIGHTED's member weights +docs/semantics.md | weights | allocation the program keeps the solved supplies as **captur | the captured source weights of a program's injection docs/semantics.md | weights | and attribution, in one split context. `allocation` is `EQUA | WEIGHTED's member weights docs/semantics.md | weights | chooses weights. Weights are never renormalised; a member wh | WEIGHTED's member weights docs/semantics.md | weights | ignoring capacity and weights; an empty roster is allowed (a | WEIGHTED's member weights docs/semantics.md | weights | its weights from its weight basis there ([section 5](#5-rout | WEIGHTED's member weights -docs/semantics.md | weights | robin (**equal sources**) or by highest averages over the ca | WEIGHTED's member weights +docs/semantics.md | weights | robin (**equal sources**) or by highest averages over the ca | the captured source weights of a program's injection docs/semantics.md | weights | routes`); `OPTIMIZED` (`from_routes allocation must be EQUAL | WEIGHTED's member weights -docs/semantics.md | weights | share and loses it. Captured source weights keep the remaini | WEIGHTED's member weights +docs/semantics.md | weights | share and loses it. Captured source weights keep the remaini | the captured source weights of a program's injection docs/semantics.md | weights | stays `UP`. Weights stay as the program froze them. | WEIGHTED's member weights -docs/semantics.md | weights | the demand. Equal positive weights give exactly round robin: | WEIGHTED's member weights +docs/semantics.md | weights | the demand. Equal positive weights give exactly round robin: | the weights of highest averages (members or entries) docs/semantics.md | weights | the interior split of the `PredecessorDAG` routes, `EQUAL` ( | WEIGHTED's member weights -docs/semantics.md | weights | then splits its share by highest averages over its entries' | WEIGHTED's member weights +docs/semantics.md | weights | then splits its share by highest averages over its entries' | a program entry's integer weight (its share among its head's entries) docs/semantics.md | weights | value does not expose per-router effective weights, the spli | WEIGHTED's member weights docs/semantics.md | weights | weights), and forwards it hop by hop on the free capacity: e | WEIGHTED's member weights -docs/semantics.md | weights | route allocation | WEIGHTED's member weights +docs/semantics.md | weights | route allocation | a table column: the weight options of the models evaluate_edge_failures | placed | (NGRAPH_CORE_SENSITIVITY_THREADS). Only ShortestPaths reads | traffic placed (delivered) on a ledger include/netgraph/core/detail/min_cost_flow.hpp | allocated | keeps it alive); the working storage is the resolver's own, | allocated memory, storage or amounts include/netgraph/core/detail/min_cost_flow.hpp | f_e | repairs the state by three fixed-origin repairs (u -> v for | a math symbol of the comment's formula @@ -307,28 +305,28 @@ include/netgraph/core/detail/min_cost_flow.hpp | sensitivity | Optimized uses an include/netgraph/core/detail/policy_engine.hpp | sensitivity | CentralizedTE: a capture request for the next solve's final | sensitivity analysis, or the env var NGRAPH_CORE_SENSITIVITY_THREADS include/netgraph/core/detail/search_detail.hpp | priority | Any source of per-edge priority values (a search's PriorityV | a score's priority order, or a priority queue include/netgraph/core/detail/tunnel_setup.hpp | volume | T1's setup for the design volume D (< 2^62) over the roster' | the design volume D of the tunnel models -include/netgraph/core/evaluators.hpp | selection | T1 sets up again for the same design under each deletion, T2 | T2's count selection +include/netgraph/core/evaluators.hpp | selection | T1 sets up again for the same design under each deletion, T2 | T2's count selection (the count chosen up to L) include/netgraph/core/flow_ledger.hpp | placed | A ledger tracks the flows placed on one graph in two project | traffic placed (delivered) on a ledger -include/netgraph/core/flow_policy.hpp | count | The tunnel count of the tunnel models, per head: `per_head` | the tunnel count -include/netgraph/core/flow_policy.hpp | count | chosen count), design_demand (nullopt: unlimited), design_by | the tunnel count -include/netgraph/core/flow_policy.hpp | count | or an evaluator uses it); `up_to` (T2 only; T1 rejects it): | the tunnel count +include/netgraph/core/flow_policy.hpp | count | The tunnel count of the tunnel models, per head: `per_head` | the tunnel count (tunnels per head) +include/netgraph/core/flow_policy.hpp | count | chosen count), design_demand (nullopt: unlimited), design_by | the tunnel count (tunnels per head) +include/netgraph/core/flow_policy.hpp | count | or an evaluator uses it); `up_to` (T2 only; T1 rejects it): | the tunnel count (tunnels per head) include/netgraph/core/flow_policy.hpp | drops | call_edge_drops (this call's drops per edge, ascending EdgeI | losses on links or at a source include/netgraph/core/flow_policy.hpp | edge_weights | (Capacity). edge_weights (one integer per edge in [0, 2^62), | ShortestPaths.edge_weights, where the field now lives include/netgraph/core/flow_policy.hpp | edge_weights | edge_weights' length and entries; then the tunnel limit; the | ShortestPaths.edge_weights, where the field now lives include/netgraph/core/flow_policy.hpp | placed | minimum total cost of the flow by `cost` per unit (more deli | traffic placed (delivered) on a ledger include/netgraph/core/flow_policy.hpp | volume | controller. A design volume D is split RR(D, H, h) over the | the design volume D of the tunnel models -include/netgraph/core/flow_policy.hpp | weights | allocation | WEIGHTED's member weights +include/netgraph/core/flow_policy.hpp | weights | allocation | a table column: the weight options of the models include/netgraph/core/flow_record.hpp | drops | cumulative amount submitted to this flow before any drops. ` | losses on links or at a source include/netgraph/core/flow_record.hpp | entry | (T1, T2 and Pinned: one record per entry, the entry identifi | an entry of a program, an array or a CSR list include/netgraph/core/flow_record.hpp | entry | that route, or kUnreachable if none exists. `entry_id` is th | an entry of a program, an array or a CSR list include/netgraph/core/forwarding_program.hpp | allocated | One shared hop-by-hop program on a supplied DAG of `graph`: | allocated memory, storage or amounts include/netgraph/core/forwarding_program.hpp | planned | planned_bandwidth: T2's planned bandwidth u (metadata, | T2's planned bandwidth include/netgraph/core/forwarding_program.hpp | weights | Equal (absent) or Weighted, whose weights come from `weight_ | WEIGHTED's member weights -include/netgraph/core/forwarding_program.hpp | weights | The captured source weights (roster source, saved supply) in | WEIGHTED's member weights +include/netgraph/core/forwarding_program.hpp | weights | The captured source weights (roster source, saved supply) in | the captured source weights of a program's injection include/netgraph/core/forwarding_program.hpp | weights | applies only to PredecessorDAG routes`); allocation Optimize | WEIGHTED's member weights -include/netgraph/core/forwarding_program.hpp | weights | share by highest averages over its entries' weights. Identic | WEIGHTED's member weights +include/netgraph/core/forwarding_program.hpp | weights | share by highest averages over its entries' weights. Identic | a program entry's integer weight (its share among its head's entries) include/netgraph/core/forwarding_program.hpp | weights | the weights' combination; edge_weights' and residual's lengt | WEIGHTED's member weights -include/netgraph/core/forwarding_program.hpp | weights | tunnel included) or captured source weights (source_weights( | WEIGHTED's member weights +include/netgraph/core/forwarding_program.hpp | weights | tunnel included) or captured source weights (source_weights( | the captured source weights of a program's injection include/netgraph/core/graph.hpp | cost | (source, cost, destination, input). Node u's out-edges are | an edge's or a path's cost (Path.cost is the current name) include/netgraph/core/graph.hpp | cost | Construction uses N nodes, E edges and K distinct costs. A c | an edge's or a path's cost (Path.cost is the current name) include/netgraph/core/graph.hpp | cost | Maximum edge cost and greatest common divisor of all edge co | an edge's or a path's cost (Path.cost is the current name) @@ -380,13 +378,13 @@ src/route_kernels.cpp | w_j | w_i / d_i > w_j / d_j, ties by the lower index: th src/route_kernels.cpp | w_j | w_i/d_i and w_j/d_j through w_i*d_j and w_j*d_i (operands < | a math symbol of the comment's formula src/search.cpp | priority | (its bottleneck), capped by `cap` for a KSP prefix; call thi | the member `priority` (a PriorityReader) and its values src/search.cpp | priority | the minimum priority along the walk (prio given) | the member `priority` (a PriorityReader) and its values -src/search.cpp | selection | transitions (Expand: the banned edges; Collapse: every edge | T2's count selection -tests/cpp/centralized_te_tunnels_tests.cpp | selection | Up to N: the unpruned selection over the EXACT(k) programs a | T2's count selection -tests/cpp/centralized_te_tunnels_tests.cpp | selection | sizing, the objectives and the canonical tie, count selectio | T2's count selection -tests/cpp/centralized_te_tunnels_tests.cpp | selection | the remainder bound 0 <= F - K U < K; "up to" against an unp | T2's count selection +src/search.cpp | selection | transitions (Expand: the banned edges; Collapse: every edge | the KSP spur's parallel-member choice +tests/cpp/centralized_te_tunnels_tests.cpp | selection | Up to N: the unpruned selection over the EXACT(k) programs a | T2's count selection (the count chosen up to L) +tests/cpp/centralized_te_tunnels_tests.cpp | selection | sizing, the objectives and the canonical tie, count selectio | T2's count selection (the count chosen up to L) +tests/cpp/centralized_te_tunnels_tests.cpp | selection | the remainder bound 0 <= F - K U < K; "up to" against an unp | T2's count selection (the count chosen up to L) tests/cpp/contract_examples_tests.cpp | Route | Routes over abstract links: each abstract link e of capacity | a route or routes (a heading such as 'Route structures' or 'Routes') tests/cpp/contract_examples_tests.cpp | placed | zero call placed first: a zero offer skips no validation). | traffic placed (delivered) on a ledger -tests/cpp/contract_examples_tests.cpp | selection | With a dead head the count-selection scores (its supply budg | T2's count selection +tests/cpp/contract_examples_tests.cpp | selection | With a dead head the count-selection scores (its supply budg | T2's count selection (the count chosen up to L) tests/cpp/distributed_te_tests.cpp | Stretch | A-X8-Stretch-exact: c0 = 5 and the factor exactly 6/5, so th | the worked example ids A-X8-Stretch-* (labels of the examples) tests/cpp/distributed_te_tests.cpp | Stretch | equality; A-X8-Stretch-cost7: at cost 7 it exceeds the ceili | the worked example ids A-X8-Stretch-* (labels of the examples) tests/cpp/distributed_te_tests.cpp | g | PVIEW (e0 cap 10, e1 cap 8) with FlowLedger(g, reservation_b | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) @@ -422,14 +420,11 @@ tests/cpp/program_tests.cpp | dst | Every path from a head to dst (ids of g; des tests/cpp/program_tests.cpp | g | Every path from a head to dst (ids of g; destinations are te | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) tests/cpp/route_kernels_tests.cpp | a_i | Boundary property: every selected quotient w_i / a_i outrank | a math symbol of the comment's formula tests/cpp/route_kernels_tests.cpp | a_j | w_j / (a_j + 1) (ties by the lower index). | a math symbol of the comment's formula -tests/cpp/route_kernels_tests.cpp | placed | edges, one or two destinations), each placed in three steps | traffic placed (delivered) on a ledger tests/cpp/route_kernels_tests.cpp | placed | so all 6 are placed. | traffic placed (delivered) on a ledger tests/cpp/route_kernels_tests.cpp | src | independent of the library: `total` enters at node `src`; no | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) tests/cpp/route_kernels_tests.cpp | src | on some walk from src to the destination set that leaves no | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) tests/cpp/route_kernels_tests.cpp | src | residual, the offer enters at `src` (+inf: each arc out of ` | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) tests/cpp/route_kernels_tests.cpp | src | terminal), ascending; forward from src and backward from the | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) -tests/cpp/route_kernels_tests.cpp | volume | The curve's shape, each the only failure: an entry of volume | a curve entry's volume (its amount) -tests/cpp/route_kernels_tests.cpp | volume | last volume raised breaks its total; its first cost raised b | a curve entry's volume (its amount) tests/cpp/route_kernels_tests.cpp | w_i | Boundary property: every selected quotient w_i / a_i outrank | a math symbol of the comment's formula tests/cpp/route_kernels_tests.cpp | w_j | w_j / (a_j + 1) (ties by the lower index). | a math symbol of the comment's formula tests/cpp/search_reference.hpp | priority | A walk's bottleneck: its lowest priority value (cmp order). | a score's priority order, or a priority queue @@ -450,7 +445,7 @@ tests/cpp/zero_capacity_tests.cpp | g | One placement on a fresh ledger of g. | tests/cpp/zero_capacity_tests.cpp | g | T1 with N tunnels per head: one replace(offer, design) on a | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) tests/py/test_centralized_te_tunnels.py | dst | id: (rows, heads, dst, L, D, chosen count, routes, lossless | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) tests/py/test_centralized_te_tunnels.py | dst | id: (rows, heads, dst, N, D, free capacity or None, prefer_h | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) -tests/py/test_centralized_te_tunnels.py | selection | count selection, operations, programs and replays, records, | T2's count selection +tests/py/test_centralized_te_tunnels.py | selection | count selection, operations, programs and replays, records, | T2's count selection (the count chosen up to L) tests/py/test_configuration.py | placed | The policy is built, and a zero call placed, only when the m | traffic placed (delivered) on a ledger tests/py/test_contract_examples.py | Route | Routes of link indices carrying their offers. Each demand of | a route or routes (a heading such as 'Route structures' or 'Routes') tests/py/test_distributed_te.py | Stretch | A-X8-Stretch-cost7: a cost-7 path exceeds the ceiling. | the worked example ids A-X8-Stretch-* (labels of the examples) @@ -489,3 +484,177 @@ tests/py/test_shortest_path_cache.py | placed | and no placed deletion. | traffi tests/py/test_source_allocation.py | dst | Pinned over a program of one split route (the edges' DAG) fr | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) tests/py/test_source_allocation.py | src | Pinned over a program of one split route (the edges' DAG) fr | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) tests/py/tunnel_oracle.py | src | Every simple path (EdgeIds in walk order) from src that ends | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) +CMakeLists.txt | g | as the TSan documentation advises (the Debug build type adds | the compiler flag -g +CONTRIBUTING.md | origin | git push origin vX.Y.Z | the git remote origin +README.md | count | count; it does not promise whole-demand lossless delivery); | the tunnel count (tunnels per head) +README.md | tunnels | count; it does not promise whole-demand lossless delivery); | a model's tunnels (ForwardingProgram.tunnels is the current name) +TunnelCount | count | 1..per_head for every head: the smallest common count whose | the tunnel count (tunnels per head) +TunnelCount | count | design shares; if none does, the largest live-share score, t | the tunnel count (tunnels per head) +TunnelCount.up_to | count | True: the smallest count up to per_head whose program carrie | the tunnel count (tunnels per head) +bindings/python/flow_policy.cpp | placed_demand | placed_demand | a key of the frozen reference's trace format (the fixtures' keys) +bindings/python/flow_policy.cpp | src | src | a key of the frozen reference's trace format (the fixtures' keys) +code:tests/py/test_programs.py | bundles | bundles | a retired name named on purpose: the test checks it is gone or rejected +code:tests/py/test_source_allocation.py | bundles | bundles | a retired name named on purpose: the test checks it is gone or rejected +dev/perf/README.md | allocated | its iteration count: allocated and written before the row's | allocated memory, storage or amounts +dev/perf/README.md | placement | | `kernel` | `kernel.{proportional,eb,lossy}.clos`, `kernel. | placing traffic +dev/perf/README.md | selection | groups it did not, and per group the rows the whole selectio | the timing tool's row selection (--rows) +dev/perf/README.md | selection | memory rule's boundary, the bootstrap interval, the cluster | the timing tool's row selection (--rows) +dev/perf/README.md | selection | the side, mode and row when it comes from a block. A refusal | the timing tool's row selection (--rows) +dev/perf/README.md | sensitivity | | `sensitivity` | `sens.exact`, `sens.policy_all_edges`, `se | a timing row's frozen group or description (the tool keeps row names) +dev/perf/README.md | src | `OUT_DIR/src`, so a second attempt needs another or an empti | a directory or a sort key named src, or a path component +dev/perf/README.md | src | `OUT_DIR/src`. `REV` is required (there is no default refere | a directory or a sort key named src, or a path component +dev/perf/README.md | tunnels | | `t1` | `t1.setup.fabric`, `t1.forward.fabric` | T1 with 16 | a model's tunnels (ForwardingProgram.tunnels is the current name) +dev/perf/README.md | tunnels | | `t2` | `t2.exact16.headroom`, `t2.exact16.cost`, `t2.upto2 | a model's tunnels (ForwardingProgram.tunnels is the current name) +dev/perf/aba.py | selection | * rows the selection did not select, by group: | the timing tool's row selection (--rows) +dev/perf/aba.py | selection | Selection (`--rows | the timing tool's row selection (--rows) +dev/perf/aba.py | selection | selection | the timing tool's row selection (--rows) +dev/perf/aba_rows.hpp | dst | construction, construct.random65k's topology and costs sorte | a directory or a sort key named src, or a path component +dev/perf/aba_rows.hpp | elig | elig.build_intersect | a timing row's frozen name (the tool keeps row names) +dev/perf/aba_rows.hpp | max_cost | ,\"max_cost\": | a key of the timing digest's JSON (kept, so digests of earlier builds compare) +dev/perf/aba_rows.hpp | selection | T2 CentralizedTE(tunnel_count=TunnelCount(256, up_to=True), | T2's count selection (the count chosen up to L) +dev/perf/aba_rows.hpp | sensitivity | exact-model sensitivity (candidates: the positive-flow edges | a timing row's frozen group or description (the tool keeps row names) +dev/perf/aba_rows.hpp | sensitivity | policy-model sensitivity over every eligible edge, ShortestP | a timing row's frozen group or description (the tool keeps row names) +dev/perf/aba_rows.hpp | sensitivity | sensitivity | a timing row's frozen group or description (the tool keeps row names) +dev/perf/aba_rows.hpp | src | construction, construct.random65k's topology and costs sorte | a directory or a sort key named src, or a path component +dev/perf/build.sh | src | `git archive` into OUT_DIR/src. The driver (harness.cpp, aba | a directory or a sort key named src, or a path component +dev/perf/test_tool.py | g | g | a timing tool test's synthetic group name `g` +dev/perf/test_tool.py | g | list: row c: unknown key 'x': {"row": "c", "group": "g", "x" | a timing tool test's synthetic group name `g` +dev/perf/test_tool.py | max_cost | max_cost | a key of the timing digest's JSON (kept, so digests of earlier builds compare) +dev/perf/test_tool.py | selection | selection | the timing tool's row selection (--rows) +dev/perf/test_tool.py | src | /src/include | a directory or a sort key named src, or a path component +dev/perf/test_tool.py | src | src | a directory or a sort key named src, or a path component +dev/stubs/check_clients.py | g | ng.FlowLedger(g, service_baseline=np.zeros(1, dtype=np.float | a sample client's or stub's local name `g` in the stub tools' test input +dev/stubs/check_clients.py | g | ng.Path(g, np.zeros((1, 1), dtype=np.float64)) | a sample client's or stub's local name `g` in the stub tools' test input +dev/stubs/check_clients.py | g | ng.evaluate_demand(g, 0, 1, cfg) | a sample client's or stub's local name `g` in the stub tools' test input +dev/stubs/check_clients.py | g | ng.evaluate_pairs(g, float_pairs, | a sample client's or stub's local name `g` in the stub tools' test input +dev/stubs/check_clients.py | g | ng.spf(g, 0, ng.KspOptions(1)) | a sample client's or stub's local name `g` in the stub tools' test input +dev/stubs/check_clients.py | g | npt.NDArray[np.float64] = g.edge_capacity_units() | a sample client's or stub's local name `g` in the stub tools' test input +dev/stubs/check_clients.py | g | oops: str = g.num_edges() | a sample client's or stub's local name `g` in the stub tools' test input +dev/stubs/check_clients.py | g | text: str = g.edge_capacity_units().item(0) | a sample client's or stub's local name `g` in the stub tools' test input +dev/stubs/test_checks.py | g | if line == "oops: str = g.num_edges()": | a sample client's or stub's local name `g` in the stub tools' test input +dev/stubs/test_checks.py | src | src/__pycache__ | a directory or a sort key named src, or a path component +dev/stubs/test_checks.py | src | src/__pycache__/m.pyc | a directory or a sort key named src, or a path component +dev/stubs/test_generate.py | g | # generated: def g() -> None: | a sample client's or stub's local name `g` in the stub tools' test input +dev/stubs/test_generate.py | g | def g( | a sample client's or stub's local name `g` in the stub tools' test input +dev/stubs/test_generate.py | g | def g() -> None: | a sample client's or stub's local name `g` in the stub tools' test input +dev/stubs/test_generate.py | g | def g() -> None: ... | a sample client's or stub's local name `g` in the stub tools' test input +dev/stubs/test_generate.py | g | def g(*args: int) -> typing.Any: | a sample client's or stub's local name `g` in the stub tools' test input +dev/stubs/test_generate.py | g | def g(*args: int, **kwargs: str) -> int: | a sample client's or stub's local name `g` in the stub tools' test input +dev/stubs/test_generate.py | g | g | a sample client's or stub's local name `g` in the stub tools' test input +dev/stubs/test_generate.py | g | g(args) | a sample client's or stub's local name `g` in the stub tools' test input +dev/stubs/test_generate.py | g | g(kwargs) | a sample client's or stub's local name `g` in the stub tools' test input +dev/stubs/test_generate.py | g | g(x) | a sample client's or stub's local name `g` in the stub tools' test input +dev/stubs/test_generate.py | g | overrides without a generated declaration: ['g'] | a sample client's or stub's local name `g` in the stub tools' test input +dev/stubs/test_generate.py | g | typing.Any left in the stub (add a reviewed override): g -> | a sample client's or stub's local name `g` in the stub tools' test input +docs/semantics.md | Tunnels | - **Sizing.** Tunnels of a common size `s > 0` exist exactly | the word starting a sentence: actual tunnels +docs/semantics.md | Tunnels | request `RR(share, N, j)`: the tunnels of one head differ by | the word starting a sentence: actual tunnels +docs/semantics.md | count | the smallest count. It does not promise whole-demand lossles | the tunnel count (tunnels per head) +include/netgraph/core/flow_policy.hpp | count | live-share score, then the smallest count; no promise of who | the tunnel count (tunnels per head) +pyproject.toml | selection | scikit-build-core 1.0 introduced the "explicit" sdist file s | scikit-build-core's sdist file selection +src/centralized_te_tunnels.cpp | Tunnels | Sizing. Tunnels of a common size s > 0 exist exactly when K | the word starting a sentence: actual tunnels +src/flow_policy.cpp | cost_distribution | cost_distribution | a key of the frozen reference's trace format (the fixtures' keys) +src/flow_policy.cpp | placed | placed | a key of the frozen reference's trace and payload format (the fixtures' keys) +tests/cpp/flow_policy_fault_tests.cpp | sensitivity | frozen costonly sensitivity | a test case label: sensitivity analysis (the evaluator's subject) +tests/cpp/flow_policy_fault_tests.cpp | sensitivity | frozen costonly sensitivity miss | a test case label: sensitivity analysis (the evaluator's subject) +tests/cpp/flow_policy_fault_tests.cpp | sensitivity | frozen costonly sensitivity miss, worker threads, workers | a test case label: sensitivity analysis (the evaluator's subject) +tests/cpp/flow_policy_fault_tests.cpp | sensitivity | frozen sensitivity | a test case label: sensitivity analysis (the evaluator's subject) +tests/cpp/flow_policy_fault_tests.cpp | sensitivity | sensitivity | a test case label: sensitivity analysis (the evaluator's subject) +tests/cpp/flow_policy_tests.cpp | sensitivity | sensitivity baseline with every output | a test case label: sensitivity analysis (the evaluator's subject) +tests/cpp/flow_policy_tests.cpp | sensitivity | sensitivity baseline, no output | a test case label: sensitivity analysis (the evaluator's subject) +tests/cpp/graph_layout_tests.cpp | dst | dst negative at 1 | the layout test input's field `dst` (a shorthand kept as an ordinary local) +tests/cpp/graph_layout_tests.cpp | dst | dst shorter | the layout test input's field `dst` (a shorthand kept as an ordinary local) +tests/cpp/graph_layout_tests.cpp | dst | input.dst | the layout test input's field `dst` (a shorthand kept as an ordinary local) +tests/cpp/graph_layout_tests.cpp | dst | property:dst | the layout test input's field `dst` (a shorthand kept as an ordinary local) +tests/cpp/graph_layout_tests.cpp | dst | range:dst | the layout test input's field `dst` (a shorthand kept as an ordinary local) +tests/cpp/graph_layout_tests.cpp | dst | size:dst | the layout test input's field `dst` (a shorthand kept as an ordinary local) +tests/cpp/graph_layout_tests.cpp | src | (src, cost) reverse order | the layout test input's field `src` (a shorthand kept as an ordinary local) +tests/cpp/graph_layout_tests.cpp | src | property:src | the layout test input's field `src` (a shorthand kept as an ordinary local) +tests/cpp/graph_layout_tests.cpp | src | range:src | the layout test input's field `src` (a shorthand kept as an ordinary local) +tests/cpp/graph_layout_tests.cpp | src | size:src | the layout test input's field `src` (a shorthand kept as an ordinary local) +tests/cpp/graph_layout_tests.cpp | src | src out of range at 2 | the layout test input's field `src` (a shorthand kept as an ordinary local) +tests/cpp/layout_checker.hpp | dst | dst | the layout test input's field `dst` (a shorthand kept as an ordinary local) +tests/cpp/layout_checker.hpp | dst | input.dst | the layout test input's field `dst` (a shorthand kept as an ordinary local) +tests/cpp/layout_checker.hpp | dst | property:dst | the layout test input's field `dst` (a shorthand kept as an ordinary local) +tests/cpp/layout_checker.hpp | dst | range:dst | the layout test input's field `dst` (a shorthand kept as an ordinary local) +tests/cpp/layout_checker.hpp | src | property:src | the layout test input's field `src` (a shorthand kept as an ordinary local) +tests/cpp/layout_checker.hpp | src | range:src | the layout test input's field `src` (a shorthand kept as an ordinary local) +tests/cpp/layout_checker.hpp | src | src | the layout test input's field `src` (a shorthand kept as an ordinary local) +tests/cpp/min_cost_flow_tests.cpp | placed | curve total differs from placed | the private solver's placed amount (its flow value), as the certificate clauses name it +tests/cpp/min_cost_flow_tests.cpp | placed | cut value differs from placed | the private solver's placed amount (its flow value), as the certificate clauses name it +tests/cpp/min_cost_flow_tests.cpp | placed | placed differs from min(cap, F_max) | the private solver's placed amount (its flow value), as the certificate clauses name it +tests/cpp/min_cost_flow_tests.cpp | placed | placed outside [0, cap] | the private solver's placed amount (its flow value), as the certificate clauses name it +tests/cpp/min_cost_flow_tests.cpp | volume | curve volume not positive | a curve entry's volume (its amount) +tests/cpp/program_tests.cpp | Tunnels | Tunnels listed with indices 0 and 2 (the split route takes 1 | the word starting a sentence: actual tunnels +tests/cpp/search_tests.cpp | elig | elig | a test case label naming the test's local `elig` +tests/cpp/shortest_paths_creation_tests.cpp | src | src | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) +tests/cpp/test_utils.hpp | placed | curve total differs from placed | the private solver's placed amount (its flow value), as the certificate clauses name it +tests/cpp/test_utils.hpp | placed | cut value differs from placed | the private solver's placed amount (its flow value), as the certificate clauses name it +tests/cpp/test_utils.hpp | placed | placed differs from min(cap, F_max) | the private solver's placed amount (its flow value), as the certificate clauses name it +tests/cpp/test_utils.hpp | placed | placed outside [0, cap] | the private solver's placed amount (its flow value), as the certificate clauses name it +tests/cpp/test_utils.hpp | volume | curve volume not positive | a curve entry's volume (its amount) +tests/py/flow_oracle.py | placed | curve total differs from placed | the private solver's placed amount (its flow value), as the certificate clauses name it +tests/py/flow_oracle.py | placed | cut value differs from placed | the private solver's placed amount (its flow value), as the certificate clauses name it +tests/py/flow_oracle.py | placed | placed | a key of the frozen reference's trace and payload format (the fixtures' keys) +tests/py/flow_oracle.py | placed | placed outside [0, cap] | the private solver's placed amount (its flow value), as the certificate clauses name it +tests/py/flow_oracle.py | volume | curve volume not positive | a curve entry's volume (its amount) +tests/py/test_centralized_te_tunnels.py | g | g = ngc.Graph(4, [0, 0, 1, 2], [1, 2, 3, 3], [8192, 40960, 8 | the local `g` (a Graph) of a script run in a child interpreter +tests/py/test_centralized_te_tunnels.py | g | p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, cfg) | the local `g` (a Graph) of a script run in a child interpreter +tests/py/test_centralized_te_tunnels.py | origin | origin | the retired keyword passed on purpose: the test checks it is rejected +tests/py/test_configuration.py | selection | selection | the retired keyword passed on purpose: the test checks it is rejected +tests/py/test_contract_examples.py | Stretch | A-X8-Stretch-cost7 | the worked example ids A-X8-Stretch-* (labels of the examples) +tests/py/test_contract_examples.py | Stretch | A-X8-Stretch-exact | the worked example ids A-X8-Stretch-* (labels of the examples) +tests/py/test_contract_examples.py | Tunnels | Tunnels from their heads (one program; each head its own sou | the word starting a sentence: actual tunnels +tests/py/test_contract_examples.py | selection | selection | the retired keyword passed on purpose: the test checks it is rejected +tests/py/test_distributed_te.py | g | fg = ngc.FlowLedger(g) | the local `g` (a Graph) of a script run in a child interpreter +tests/py/test_distributed_te.py | g | g = ngc.Graph(3, [0, 1], [2, 2], [2, 10], [1, 1], 1.0) | the local `g` (a Graph) of a script run in a child interpreter +tests/py/test_distributed_te.py | origin | origin | the retired keyword passed on purpose: the test checks it is rejected +tests/py/test_flow_policy.py | bundle | bundles | a retired name named on purpose: the test checks it is gone or rejected +tests/py/test_flow_policy.py | bundles | bundles | a retired name named on purpose: the test checks it is gone or rejected +tests/py/test_flow_policy.py | local_outcomes | local_outcomes | a retired name named on purpose: the test checks it is gone or rejected +tests/py/test_flow_policy.py | origin | origin | the retired keyword passed on purpose: the test checks it is rejected +tests/py/test_flow_policy.py | selection | selection | the retired keyword passed on purpose: the test checks it is rejected +tests/py/test_min_cost_flow.py | placed | curve total differs from placed | the private solver's placed amount (its flow value), as the certificate clauses name it +tests/py/test_min_cost_flow.py | placed | cut value differs from placed | the private solver's placed amount (its flow value), as the certificate clauses name it +tests/py/test_min_cost_flow.py | placed | placed 1 != min(cap, F_max) | the private solver's placed amount (its flow value), as the certificate clauses name it +tests/py/test_min_cost_flow.py | placed | placed outside [0, cap] | the private solver's placed amount (its flow value), as the certificate clauses name it +tests/py/test_min_cost_flow.py | volume | curve volume not positive | a curve entry's volume (its amount) +tests/py/test_native_allocation.py | sensitivity | sensitivity.global | a test id (dev/pytest_guard.py names it) +tests/py/test_native_allocation.py | sensitivity | sensitivity.pinned | a test id (dev/pytest_guard.py names it) +tests/py/test_programs.py | bundles | Pinned takes a program: no bundles keyword, a list is not a | a retired name named on purpose: the test checks it is gone or rejected +tests/py/test_programs.py | origin | origin | the retired keyword passed on purpose: the test checks it is rejected +tests/py/test_public_surface.py | CapacityOptions | CapacityOptions | a retired name named on purpose: the test checks it is gone or rejected +tests/py/test_public_surface.py | EdgePriority | EdgePriority | a retired name named on purpose: the test checks it is gone or rejected +tests/py/test_public_surface.py | EdgeTieBreak | EdgeTieBreak | a retired name named on purpose: the test checks it is gone or rejected +tests/py/test_public_surface.py | PathSelection | PathSelection | a retired name named on purpose: the test checks it is gone or rejected +tests/py/test_public_surface.py | SensitivityOptions | SensitivityOptions | a retired name named on purpose: the test checks it is gone or rejected +tests/py/test_public_surface.py | Stretch | Stretch-factor-bool | a test id naming the retired Stretch on purpose (CostStretch is checked) +tests/py/test_public_surface.py | Stretch | Stretch-factor-str | a test id naming the retired Stretch on purpose (CostStretch is checked) +tests/py/test_public_surface.py | bundle | bundles | a retired name named on purpose: the test checks it is gone or rejected +tests/py/test_public_surface.py | bundles | bundles | a retired name named on purpose: the test checks it is gone or rejected +tests/py/test_public_surface.py | local_outcomes | local_outcomes | a retired name named on purpose: the test checks it is gone or rejected +tests/py/test_public_surface.py | origin | origin | the retired keyword passed on purpose: the test checks it is rejected +tests/py/test_public_surface.py | selection | selection | the retired keyword passed on purpose: the test checks it is rejected +tests/py/test_public_surface.py | sensitivity | sensitivity-graph-None | a test id naming the retired function on purpose +tests/py/test_public_surface.py | usable_bundles | usable_bundles | a retired name named on purpose: the test checks it is gone or rejected +tests/py/test_removed_names.py | dst | dst | the rule's own text, naming removed words as its examples +tests/py/test_removed_names.py | elig | elig | the rule's own text, naming removed words as its examples +tests/py/test_removed_names.py | g | g | the rule's own text, naming removed words as its examples +tests/py/test_removed_names.py | opts | opts | the rule's own text, naming removed words as its examples +tests/py/test_removed_names.py | src | src | the rule's own text, naming removed words as its examples +tests/py/test_route_structures.py | EdgePriority | EdgePriority | a retired name named on purpose: the test checks it is gone or rejected +tests/py/test_route_structures.py | EdgeTieBreak | EdgeTieBreak | a retired name named on purpose: the test checks it is gone or rejected +tests/py/test_route_structures.py | PathSelection | PathSelection | a retired name named on purpose: the test checks it is gone or rejected +tests/py/test_source_allocation.py | origin | origin | the retired keyword passed on purpose: the test checks it is rejected +tests/typing/invalid_client.py | g | read arr[i] as Any, so "text: str = g.edge_capacity_units()[ | a sample client's or stub's local name `g` in the stub tools' test input +tests/py/test_removed_names.py | FlowPlacement | FlowPlacement | the rule's own control: the name it plants in each kind of text +tests/py/test_removed_names.py | DagCacheStats | DagCacheStats | the rule's own control: the name it plants in each kind of text +tests/py/test_removed_names.py | Tunnels | Tunnels | the rule's own control: the name it plants in each kind of text +tests/py/test_removed_names.py | DagCacheStats | name it plants): each must be found on its own line. | the rule's own control: the name it plants in each kind of text +tests/py/test_removed_names.py | Tunnels | name it plants): each must be found on its own line. | the rule's own control: the name it plants in each kind of text +dev/pytest_guard.py | sensitivity | tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[sensitivity.global] | a test id (dev/pytest_guard.py names it) +dev/pytest_guard.py | sensitivity | tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[sensitivity.pinned] | a test id (dev/pytest_guard.py names it) +docs/semantics.md | allocated | allocated; the event and dependency limits, known only after | allocated memory, storage or amounts +docs/semantics.md | allocated | event structures are allocated. Either refusal changes nothin | allocated memory, storage or amounts +include/netgraph/core/detail/forwarding.hpp | allocated | before the network is allocated; | allocated memory, storage or amounts +include/netgraph/core/detail/forwarding.hpp | allocated | structures are allocated. Either refusal changes nothing. | allocated memory, storage or amounts +tests/cpp/program_tests.cpp | allocated | is allocated, the event and dependency counts before the event | allocated memory, storage or amounts diff --git a/tests/py/source_allocation_oracle.py b/tests/py/source_allocation_oracle.py index 2cfb838..76cd198 100644 --- a/tests/py/source_allocation_oracle.py +++ b/tests/py/source_allocation_oracle.py @@ -425,7 +425,7 @@ def _result(self, call_delivered, call_edge_drops, call_loss, offer, empty=False "COMPLETE" if offer != INF and call_delivered == offer else "EXHAUSTED" ) return { - "placed": call_delivered, + "call_delivered": call_delivered, "termination": term, "call_edge_drops": sorted((e, x) for e, x in call_edge_drops.items() if x), "call_source_drops": call_loss, diff --git a/tests/py/test_centralized_te_tunnels.py b/tests/py/test_centralized_te_tunnels.py index c5403a5..a8b25c9 100644 --- a/tests/py/test_centralized_te_tunnels.py +++ b/tests/py/test_centralized_te_tunnels.py @@ -786,11 +786,25 @@ def test_count_range_and_tunnel_limit(): policy(graph(rows_), list(range(1000)), 1000, 10000, up_to=True) +@needs_hooks +def test_traced_place_checks_the_operation_first(): + p = policy(one10(), 0, 1, 2) + for v in (5, 0, -1, L62, 2**100): + with pytest.raises( + ValueError, + match=exact( + "CentralizedTE with tunnel_count does not support incremental placement" + ), + ): + p._place_traced(v) + + def test_operations_and_design_validation(): # The operations of T2 and the design's domain, with their texts. g = one10() p = policy(g, 0, 1, 2) - for v in (5, 0): + # The operation comes before the offer: also for an offer outside its domain. + for v in (5, 0, -1, L62, 2**100): with pytest.raises( ValueError, match=exact( @@ -1671,7 +1685,7 @@ def snapshot(): if not hit: assert error is None and repr(value) == expected, (k, error, value) break - assert value is None and isinstance(error, (MemoryError, RuntimeError)), (k, error) + assert value is None and type(error) is MemoryError, (k, error) else: raise SystemExit("never completed") print("failures", k) diff --git a/tests/py/test_distributed_te.py b/tests/py/test_distributed_te.py index 7d1ec68..bdaf044 100644 --- a/tests/py/test_distributed_te.py +++ b/tests/py/test_distributed_te.py @@ -15,6 +15,7 @@ GLOBAL, INF, L62, + assert_ints, build, exact, full_ledger_state, @@ -412,16 +413,43 @@ def fan(h): policy(fan(107374), list(range(107374)), 107374, 10000) +@needs_hooks +def test_traced_place_checks_the_operation_first(): + p = policy(one10(), 0, 1, 1) + for v in (5, 0, -1, L62, 2**100): + with pytest.raises( + ValueError, + match=exact("DistributedTE does not support incremental placement"), + ): + p._place_traced(v) + sp = ngc.FlowPolicy(ngc.FlowLedger(one10()), 0, 1, COSTONLY) + with pytest.raises( + ValueError, + match=exact("offer must be an integer in [0, 2^62) or permitted +inf"), + ): + sp._place_traced(-1) + assert sp._place_traced(3)[0].delivered == 3 + + def test_operations_and_design_validation(): # Place rejected (also 0), forward needs a program, design_demand only # for T1, in its domain, finite; the offer's checks first. p = policy(one10(), 0, 1, 1) - for v in (5, 0): + # The operation comes before the offer: also for an offer outside its domain (the same offers + # raise the offer's error on a model that places). + for v in (5, 0, -1, L62, 2**100): with pytest.raises( ValueError, match=exact("DistributedTE does not support incremental placement"), ): p.place(v) + sp = ngc.FlowPolicy(ngc.FlowLedger(one10()), 0, 1, COSTONLY) + for v in (-1, L62, 2**100): + with pytest.raises( + ValueError, + match=exact("offer must be an integer in [0, 2^62) or permitted +inf"), + ): + sp.place(v) with pytest.raises( ValueError, match=exact("forward requires an installed program") ): @@ -710,6 +738,7 @@ def test_all_down_and_round_order(): (2, 0, 1), (3, 1, 1), ] + assert_ints(t.local_index for t in r.program.tunnels) def test_by_tunnel_and_stretch(): @@ -809,8 +838,10 @@ def test_rows(): (3, 1, UP, 3, 3, 0), ] assert source_rows(r) == [(0, 6, 6, 0, 6, 0), (1, 6, 6, 6, 0, 0)] + assert_ints(t.head for t in r.by_tunnel) recs = p.records() assert [rec.entry_id for rec in recs] == [0, 1, 2, 3] + assert_ints(rec.entry_id for rec in recs) assert [rec.min_route_cost for rec in recs] == [None, 1, None, 1] assert [len(rec.route.via_edges()) for rec in recs] == [0, 1, 0, 1] ids = [rec.flow_id for rec in recs] @@ -872,6 +903,16 @@ def test_no_certificates_and_plan_only_for_t1(): # ---------------------------------------------------------------- programs (P) +def test_the_exact_int_check_rejects_floats_and_bools(): + # The controls of assert_ints: a float or a bool equal to the int fails, None only when + # optional. + assert_ints([0, 3, 2**70]) + assert_ints([None, 1], optional=True) + for bad in ([1.0], [True], [None]): + with pytest.raises(AssertionError): + assert_ints(bad) + + def test_program_fields(): r = policy(twoh(2, 10), [0, 1], 2, 2, LOSSY).replace(12, design_demand=12) got = [ @@ -1454,7 +1495,7 @@ def snapshot(): if not hit: assert error is None and repr(value) == expected, (k, error, value) break - assert value is None and isinstance(error, (MemoryError, RuntimeError)), (k, error) + assert value is None and type(error) is MemoryError, (k, error) else: raise SystemExit("never completed") print("failures", k) diff --git a/tests/py/test_flow_ledger.py b/tests/py/test_flow_ledger.py index a7a600d..acf1d41 100644 --- a/tests/py/test_flow_ledger.py +++ b/tests/py/test_flow_ledger.py @@ -378,7 +378,7 @@ def test_a_flow_id_read_passes_an_allocation_failure_through(): assert str(error) == f"FlowId ({uid}, 0) is retired or unknown" break failures += 1 - assert isinstance(error, (MemoryError, RuntimeError)), (k, repr(error)) + assert type(error) is MemoryError, (k, repr(error)) else: pytest.fail("the read never completed") assert failures > 0 diff --git a/tests/py/test_flow_policy.py b/tests/py/test_flow_policy.py index 1ca4f31..891a3a5 100644 --- a/tests/py/test_flow_policy.py +++ b/tests/py/test_flow_policy.py @@ -78,7 +78,7 @@ def test_configurations_are_structural_and_explicit(): ) with pytest.raises(TypeError, match="routing"): config("ShortestPaths") - # T1: the tunnel count (a Tunnels), the ceiling and the search minimum, every field as built. + # T1: the tunnel count (a TunnelCount), the ceiling and the search minimum, every field as built. ca = ngc.DistributedTE( ngc.TunnelCount(2), cost_ceiling=ngc.CostStretch(1.5), @@ -99,7 +99,7 @@ def test_configurations_are_structural_and_explicit(): with pytest.raises(TypeError): ngc.DistributedTE() # the tunnel count is required with pytest.raises(TypeError): - ngc.DistributedTE(2) # a Tunnels, not an int + ngc.DistributedTE(2) # a TunnelCount, not an int with pytest.raises(TypeError): ngc.DistributedTE( ngc.TunnelCount(1), ngc.AbsoluteCost(1) @@ -986,6 +986,12 @@ def test_evaluator_results_survive_python_allocation_failures(): calls = [ (ngc.evaluate_demand, (g, 0, 3, ngc.EvaluationOptions(GLOBAL))), (ngc.evaluate_pairs, (g, [(0, 3), (1, 3)], ngc.EvaluationOptions(GLOBAL))), + # Node sets given as lists: the call makes no temporary list, so the result list itself + # is a new allocation the sweep reaches. + ( + ngc.evaluate_pairs, + (g, [([0], [3]), ([1], [3])], ngc.EvaluationOptions(GLOBAL)), + ), (ngc.evaluate_edge_failures, (g, 0, 3, ngc.EvaluationOptions(GLOBAL))), ] for fn, args in calls: diff --git a/tests/py/test_getter_allocation.py b/tests/py/test_getter_allocation.py index c986dbd..fd9a8f8 100644 --- a/tests/py/test_getter_allocation.py +++ b/tests/py/test_getter_allocation.py @@ -1,22 +1,37 @@ -"""Every property and repr of one value of every public class under Python allocation failure (the -private hook _fail_python_allocation): the k-th Python object allocation of the read fails, for -every k in turn, and the read either raises MemoryError or RuntimeError with no value, or returns -the value of a read without failure. A getter that casts a bound value through pybind11's unchecked -allocation crashes here instead. +"""Every property, repr and own hash of one value of every public class under Python allocation +failure (the private hook _fail_python_allocation): the k-th Python object allocation of the read +fails, for every k in turn, and the read raises MemoryError with no value, or returns the value of +a read without failure. A full collection (gc.collect()) before each attempt empties CPython's +free lists, so an int or a float a read creates is a new object, never a reused one. A getter that +converts a value through pybind11's own machinery raises another class (TypeError from a return +conversion, RuntimeError from its list and tuple constructors) or crashes here instead. + +The integers CPython caches (-5 to 256) are never created anew, so a read of a small int cannot +fail: the number sweep reads wide_values(), where every property that holds an int or a float +(by the stub's annotation) holds an uncached one, large node and edge ids, entry ids, +counts and amounts, and every property that holds a Fraction holds one with both components +uncached, one with only the numerator uncached and one with only the denominator uncached. Each value's reads run in a child interpreter, so a crash fails this test instead of the session: -python -B test_getter_allocation.py NAME sweeps every read of one value and prints its count.""" +python -B test_getter_allocation.py NAME sweeps every read of one value and prints its count; +python -B test_getter_allocation.py --wide NAME sweeps the number reads (and the own hash) of one +wide value.""" from __future__ import annotations +import ast +import gc import os import re import subprocess import sys +from fractions import Fraction +from pathlib import Path if __name__ == "__main__": sys.path.insert(0, os.path.dirname(os.path.abspath(__file__))) +import pytest from helpers import build, dag_of from private_hooks import needs_hooks @@ -114,14 +129,166 @@ def values(): } -def reads(value): +def wide_values(): + """Values whose int and float properties hold uncached objects: node ids from 296 up, edge ids + from 260 up (260 one-unit filler edges come first), capacities of 2^40 units, costs of 2^30, 300 + tunnels per head (entry ids and local indexes up to 299), policy ids beyond 300, cache counts + beyond 256; and whose Fraction properties hold each shape of uncached components.""" + cap, cost = 2**40, 2**30 + rows = [(i, i + 1, 1, 1) for i in range(260)] + rows += [ + (296, 299, cap, cost), + (297, 298, cap, cost), + (298, 299, cap // 2, cost), + (297, 299, cap, 3 * cost), + ] + g = build(300, rows) + lossy = ngc.Admission.LOSSY + shortest = ngc.FlowPolicyConfig(routing=ngc.ShortestPaths()) + out = {} + # Source 296 black-holed: its share is lost at the source; 297's share drops on 298 -> 299. + sp = ngc.FlowPolicy( + ngc.FlowLedger(g), + [296, 297], + 299, + ngc.FlowPolicyConfig(routing=ngc.ShortestPaths(), admission=lossy), + ) + sp.replace(2**41) + dark = sp.forward(2**41, black_holes=g.eligibility(excluded_nodes=[296])) + out["PlacementResult.dark"] = dark + out["SourceFlow.dark"] = dark.by_source[0] + out["SourceFlow.drops"] = dark.by_source[1] + out["FlowRecord.lossy"] = sp.records()[-1] + lossless = ngc.FlowPolicy(ngc.FlowLedger(g), 297, 299, shortest).place(2**42) + out["PlacementResult.lossless"] = lossless + out["SourceFlow.lossless"] = lossless.by_source[0] + controller = ngc.FlowPolicyConfig( + routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.OPTIMIZED) + ) + exact = ngc.FlowPolicy(ngc.FlowLedger(g), 297, 299, controller).place(float("inf")) + out["PlacementResult.exact"] = exact + out["Tunnel.exact"] = exact.program.tunnels[0] + failures = ngc.evaluate_edge_failures( + g, 297, 299, ngc.EvaluationOptions(controller), 1 + ) + out["SensitivityEntry"] = failures.entries[-1] + ledger = ngc.FlowLedger(g) + for _ in range(300): + ngc.FlowPolicy(ledger, 297, 299, shortest) + t1 = ngc.FlowPolicy( + ledger, + 297, + 299, + ngc.FlowPolicyConfig( + routing=ngc.DistributedTE(ngc.TunnelCount(300)), admission=lossy + ), + ) + t1_result = t1.replace(2**41, design_demand=300 * cost) + out["PlacementResult.T1"] = t1_result + out["TunnelPlan.T1"] = t1_result.plan + out["Tunnel.T1"] = t1_result.program.tunnels[-1] + out["TunnelFlow.T1"] = t1_result.by_tunnel[-1] + out["FlowRecord.T1"] = t1.records()[-1] + t2 = ngc.CentralizedTE( + source_allocation=ngc.SourceAllocation.EQUAL, + tunnel_count=ngc.TunnelCount(300), + prefer_headroom=True, + ) + t2_result = ngc.FlowPolicy( + ngc.FlowLedger(g), 297, 299, ngc.FlowPolicyConfig(routing=t2) + ).replace(2**40) + out["TunnelPlan.T2"] = t2_result.plan # fluid optimum 2^37/25 + out["Tunnel.T2"] = t2_result.program.tunnels[-1] + # One link of capacity c split over 300 tunnels: the fluid optimum c/300. + for name, c in (("TunnelPlan.T2.thin", 1), ("TunnelPlan.T2.wide", cap + 1)): + link = build(2, [(0, 1, c, 1)]) + out[name] = ( + ngc.FlowPolicy(ngc.FlowLedger(link), 0, 1, ngc.FlowPolicyConfig(routing=t2)) + .replace(1) + .plan + ) + path = ngc.ksp(g, 297, 299, ngc.KspOptions(1))[0][1] + out["RouteDefinition"] = ngc.RouteDefinition(297, path, weight=cap) + cache = ngc.ShortestPathCache(g) + cached = ngc.FlowLedger(g) + for _ in range(2): + for s in range(260): + ngc.FlowPolicy(cached, s, s + 1, shortest, cache=cache) + out["ShortestPathCacheStats"] = cache.stats() + out["SpfResult"] = ngc.spf( + g, 297, ngc.SpfOptions(ngc.Direction.FORWARD, targets=[299]) + ) + out["AbsoluteCost"] = ngc.AbsoluteCost(cap) + for name, factor in ( + ("CostStretch", Fraction(2**62 + 1, 2**62 - 1)), + ("CostStretch.numerator", Fraction(2**62 + 1, 3)), + ("CostStretch.denominator", Fraction(3, 2**62 - 1)), + ): + out[name] = ngc.CostStretch(factor) + out["TunnelCount"] = ngc.TunnelCount(300) + out["DistributedTE"] = ngc.DistributedTE( + ngc.TunnelCount(300), min_unreserved_bandwidth=cap + ) + out["KspOptions"] = ngc.KspOptions(300) + out["EvaluationOptions"] = ngc.EvaluationOptions( + controller, offer=cap, design_demand=cap + ) + out["SpfOptions"] = ngc.SpfOptions(ngc.Direction.FORWARD, min_residual=cap) + return out + + +def number(x): + return isinstance(x, (int, float, Fraction)) and not isinstance(x, bool) + + +def uncached(x): + """An int or a float CPython does not take from its small-int cache.""" + return isinstance(x, float) or ( + isinstance(x, int) and not isinstance(x, bool) and not -5 <= x <= 256 + ) + + +def shape(x): + """A number's uncached components: (numerator, denominator) for a Fraction.""" + if isinstance(x, Fraction): + return (uncached(x.numerator), uncached(x.denominator)) + return (uncached(x),) + + +def number_properties(): + """(class, property) of every property the stub annotates as an int, a float or a Fraction + (with None), but an enumeration's value (a small int).""" + tree = ast.parse((Path(ngc.__file__).parent / "__init__.pyi").read_text()) + out = set() + for node in tree.body: + if not isinstance(node, ast.ClassDef) or hasattr( + getattr(ngc, node.name), "__members__" + ): + continue + for f in node.body: + if isinstance(f, ast.FunctionDef) and any( + isinstance(d, ast.Name) and d.id == "property" for d in f.decorator_list + ): + parts = {p.strip() for p in ast.unparse(f.returns).split("|")} + numbers = {"int", "float", "fractions.Fraction"} + if parts & numbers and parts <= numbers | {"None"}: + out.add((node.name, f.name)) + return out + + +def properties(value): cls = type(value) - names = sorted( + return sorted( n for n in dir(cls) if not n.startswith("_") and isinstance(getattr(cls, n), property) ) - return names + ["__repr__"] + + +def reads(value): + """The properties, the repr and, for a class with its own hash (the value types), the hash.""" + own_hash = vars(type(value)).get("__hash__") is not None + return properties(value) + ["__repr__"] + (["__hash__"] if own_hash else []) def shown(value): @@ -129,19 +296,29 @@ def shown(value): return re.sub(r" at 0x[0-9a-f]+", "", repr(value)) -def sweep(name): - """Every read of values()[name] with each of its Python allocations failing in turn; returns - the failures injected.""" +def sweep(name, wide=False): + """Every read of values()[name] (wide: the number reads and the own hash of wide_values()[name]) + with each of its Python allocations failing in turn, the free lists emptied first; returns the + failures injected.""" import _netgraph_core as ext - value = values()[name] + value = (wide_values if wide else values)()[name] + names = reads(value) + if wide: + names = [a for a in properties(value) if number(getattr(value, a))] + names += [a for a in reads(value) if a == "__hash__"] injected = 0 - for attr in reads(value): + for attr in names: if attr == "__repr__": def read(): return repr(value) + elif attr == "__hash__": + + def read(): + return hash(value) + else: def read(attr=attr): @@ -150,12 +327,13 @@ def read(attr=attr): read() # the interpreter's first-use allocations belong to no binding want = shown(read()) for k in range(600): + gc.collect() hit, _, got, error = ext._fail_python_allocation(read, (), k) if not hit: assert error is None and shown(got) == want, (name, attr, k, error) break injected += 1 - assert got is None and isinstance(error, (MemoryError, RuntimeError)), ( + assert got is None and type(error) is MemoryError, ( name, attr, k, @@ -167,10 +345,36 @@ def read(attr=attr): if __name__ == "__main__": - print(sweep(sys.argv[1])) + if sys.argv[1] == "--wide": + print(sweep(sys.argv[2], wide=True)) + else: + print(sweep(sys.argv[1])) sys.exit(0) +def test_wide_values_hold_uncached_numbers(): + # Every int, float or Fraction property of the stub is read on some wide value, and holds an + # uncached object there (else its sweep could not fail where it converts); a Fraction property + # holds each shape of uncached components. + seen = {} + for value in wide_values().values(): + for attr in properties(value): + x = getattr(value, attr) + if number(x): + seen.setdefault((type(value).__name__, attr), set()).add(shape(x)) + want = number_properties() + assert len(want) > 50 + assert sorted(want - set(seen)) == [] + fractions = { + ("CostStretch", "factor"), + ("TunnelPlan", "max_fractional_bandwidth_per_tunnel"), + } + assert fractions <= want + every = {(True, True), (True, False), (False, True)} + assert sorted(k for k in fractions if not every <= seen[k]) == [] + assert sorted(k for k in want - fractions if (True,) not in seen[k]) == [] + + @needs_hooks def test_every_read_survives_python_allocation_failures(): failed = [] @@ -184,3 +388,49 @@ def test_every_read_survives_python_allocation_failures(): if done.returncode != 0 or int(done.stdout.split()[-1]) < 1: failed.append((name, done.returncode, done.stderr[-300:])) assert failed == [] + + +@needs_hooks +def test_every_number_read_raises_memory_error(): + failed = [] + for name in wide_values(): + done = subprocess.run( + [sys.executable, "-B", os.path.abspath(__file__), "--wide", name], + capture_output=True, + text=True, + timeout=300, + ) + if done.returncode != 0: + failed.append((name, done.returncode, done.stderr[-300:])) + assert failed == [] + + +@needs_hooks +def test_a_failed_integer_read_raises_memory_error(): + # A valid result's int field of 2^60 units: the read's allocations fail one at a time after a + # full collection; each failure is a MemoryError with the ledger and the policy unchanged, and + # the read then returns the value. + import _netgraph_core as ext + + g = build(2, [(0, 1, 2**61, 1)]) + ledger = ngc.FlowLedger(g) + p = ngc.FlowPolicy(ledger, 0, 1, ngc.FlowPolicyConfig(routing=ngc.ShortestPaths())) + r = p.place(2**60) + + def read(): + return r.call_delivered + + read() + faults = 0 + for k in range(20): + gc.collect() + hit, _, got, error = ext._fail_python_allocation(read, (), k) + assert p.delivered() == 2**60 + assert ledger.carried().tolist() == [2**60] + if not hit: + assert got == 2**60 and error is None + assert faults >= 1 # the int's allocation (2^60 is never cached) + return + faults += 1 + assert got is None and type(error) is MemoryError, (k, repr(error)) + pytest.fail("no completing read in 20 allocation points") diff --git a/tests/py/test_ksp.py b/tests/py/test_ksp.py index d6cca12..3abe498 100644 --- a/tests/py/test_ksp.py +++ b/tests/py/test_ksp.py @@ -293,6 +293,14 @@ def test_python_result_lists_are_all_or_nothing(): lambda fn=fn, args=args: (fn, args, list), 200 ) assert failures >= 3, fn.__name__ + # Costs beyond the cached small ints, the free lists emptied before each attempt: the + # result's cost ints are new objects, and their failures raise MemoryError too. + wide = bgraph( + 4, [(0, 1, 1, 2**30), (1, 2, 1, 2**30), (2, 3, 1, 2**30), (0, 3, 1, 2**32)] + ) + assert [c for c, _ in ngc.ksp(wide, 0, 3, opts)] == [3 * 2**30, 2**32] + failures = sweep_python_allocation(lambda: (ngc.ksp, (wide, 0, 3, opts), list), 200) + assert failures >= 5 def test_tie_order(): diff --git a/tests/py/test_pooled.py b/tests/py/test_pooled.py index 9c5f3ea..f8a4a4c 100644 --- a/tests/py/test_pooled.py +++ b/tests/py/test_pooled.py @@ -332,7 +332,7 @@ def random_case(rng): def compare(where, r, want, p): got = { - "placed": r.call_delivered, + "call_delivered": r.call_delivered, "termination": r.termination.name, "call_edge_drops": r.call_edge_drops, "call_source_drops": r.call_source_drops, diff --git a/tests/py/test_public_surface.py b/tests/py/test_public_surface.py index 9cc0b41..f66d114 100644 --- a/tests/py/test_public_surface.py +++ b/tests/py/test_public_surface.py @@ -333,9 +333,7 @@ def test_signatures_name_registered_types_only(): # The files that tell a hooks build from a shipped one by probing one private hook. HOOK_PROBES = ( - ".github/workflows/tests.yml", - ".github/workflows/release.yml", - "dev/run-checks.sh", + "dev/pytest_guard.py", "dev/stubs/generate.py", "tests/py/private_hooks.py", ) diff --git a/tests/py/test_removed_names.py b/tests/py/test_removed_names.py index ea50cdf..dd223a1 100644 --- a/tests/py/test_removed_names.py +++ b/tests/py/test_removed_names.py @@ -1,10 +1,14 @@ -"""One rule for the names this release removed (the old spellings of CHANGELOG's Removed table), -over every kind of text: the public docstrings (the callable behind a staticmethod or classmethod -included), the C++ comments of include/, src/, bindings/, tests/cpp/ and dev/perf/ (not the frozen -fixture replay, whose comments name the frozen data's keys), the comments and docstrings of the -Python files of tests/py/, python/ and dev/ (not the frozen fixture replay's key mapping), and the -prose of docs/semantics.md and README.md (fenced code excluded: the docs tests run it against the -current API). +"""One rule for the names this release removed (the old spellings of CHANGELOG's Removed tables: +the two-column table of public names and the three-column tables of members and C++ +declarations), over every kind of text: the public docstrings (the callable behind a staticmethod +or classmethod included), the C++ comments and string literals of include/, src/, bindings/, +tests/cpp/ and dev/perf/ (not the frozen fixture replay, whose text names the frozen data's keys), +the comments, docstrings and string literals of the Python files and stubs (.py, .pyi) of +python/, tests/ and dev/ (not the frozen reference under tests/reference/ and not the fixture +replay's key mapping), the comments of the shell scripts, workflows, Makefile, CMake and TOML +files, and the prose of the Markdown documents (fenced code excluded: the docs tests run it +against the current API; not CHANGELOG.md, which lists the names, nor the frozen reference's +README). 1. A removed name that the API no longer has anywhere and that is not an ordinary word of this domain's prose is a stale name wherever it stands as a word. @@ -35,15 +39,51 @@ import ast import inspect import io +import os import re +import sys import tokenize from pathlib import Path +import pytest + import netgraph_core as ngc ROOT = Path(__file__).resolve().parents[2] REVIEWED_FILE = Path(__file__).with_name("removed_names_reviewed.txt") +# Planted text for the rule's own controls: {relative path: text read in place of the file's}. +PLANTED = {} + + +def read(path): + """A file's text (a planted text in its place when the controls set one).""" + path = Path(path) + rel = str(path.relative_to(ROOT)) if path.is_relative_to(ROOT) else None + return PLANTED[rel] if rel in PLANTED else path.read_text() + + +SKIPPED_DIRS = { + ".git", + "build", + "venv", + "design", + "_deps", + "__pycache__", + ".ruff_cache", +} + + +def tree_files(): + """Every file of the checkout outside build output, environments and the design tree.""" + for top, dirs, files in os.walk(ROOT): + dirs[:] = sorted( + d for d in dirs if d not in SKIPPED_DIRS and not d.endswith(".noindex") + ) + for name in sorted(files): + yield Path(top) / name + + # Removed names that are ordinary words of this domain's prose and common in it (each used more # than 16 times across the texts), with the meaning they keep. A rarer one (allocated, placed, # volume, ...) is not listed: like any removed name it is stale wherever it stands, and each of its @@ -87,7 +127,7 @@ def _split(spelling): def removed(): """(old owner, leaf, new owners) for every old spelling of CHANGELOG's Removed table (this release's section; files excluded).""" - text = (ROOT / "CHANGELOG.md").read_text() + text = read(ROOT / "CHANGELOG.md") start = text.index("## [Unreleased]") section = text[start : text.index("\n## [", start + 1)] out = [] @@ -95,13 +135,15 @@ def removed(): cells = [c.strip() for c in row.strip().strip("|").split("|")] if ( not row.startswith("|") - or len(cells) < 3 - or cells[0] in ("Kind", "file") + or len(cells) < 2 + or cells[0] in ("Kind", "file", "Name") or set(cells[0]) <= {"-"} ): continue - news = {_split(n)[0] for n in re.findall(r"`([^`]+)`", cells[2])} - {None} - for old in re.findall(r"`([^`]+)`", cells[1]): + # | Name | Replacement | (public names) or | Kind | Name | Replacement |. + old_cell, new_cell = (cells[0], cells[1]) if len(cells) == 2 else cells[1:3] + news = {_split(n)[0] for n in re.findall(r"`([^`]+)`", new_cell)} - {None} + for old in re.findall(r"`([^`]+)`", old_cell): owner, leaf = _split(old) if leaf and leaf != "__init__": out.append((owner, leaf, news)) @@ -111,7 +153,7 @@ def removed(): def api_names(): """Every name of the installed stub (classes, functions, members, parameters), and per owner (a class or a module function) its own names.""" - tree = ast.parse((Path(ngc.__file__).parent / "__init__.pyi").read_text()) + tree = ast.parse(read(Path(ngc.__file__).parent / "__init__.pyi")) names, per_owner = set(ngc.__all__), {} for node in tree.body: if isinstance(node, (ast.ClassDef, ast.FunctionDef)): @@ -201,9 +243,10 @@ def docstring_texts(owners=()): return out -def _comments_and_code(text): +def _comments_and_code(text, strings=None): """Per line its comment text (// and /* */, string literals skipped) and the file's code - identifiers (outside comments and string literals).""" + identifiers (outside comments and string literals); per line the string literals' text into + `strings` when given.""" comments, code = {}, [] i, n, line = 0, len(text), 1 while i < n: @@ -223,6 +266,8 @@ def _comments_and_code(text): quote, j = text[i], i + 1 while j < n and text[j] != quote and text[j] != "\n": j += 2 if text[j] == "\\" else 1 + if strings is not None and quote == '"': + strings.setdefault(line, []).append(text[i + 1 : j]) i = j + 1 else: if text[i] == "\n": @@ -269,7 +314,7 @@ def _owner_regions(lines, owners): def _cpp_files(): - for directory in ("include", "src", "bindings", "tests/cpp"): + for directory in ("include", "src", "bindings", "tests/cpp", "dev/perf"): for path in sorted((ROOT / directory).rglob("*")): if ( path.suffix in (".hpp", ".cpp", ".h") @@ -281,20 +326,25 @@ def _cpp_files(): FIXTURE_KEY_MAPPING = "tests/py/test_flow_policy_fixtures.py" -def _python_texts(path, skip_module_docstring=False): - """(line number, text) of a Python file's comments and docstrings.""" - text = path.read_text() +def _python_texts(path, skip_module_docstring=False, strings=None): + """(line number, text) of a Python file's comments and docstrings; its other string constants' + lines into `strings` when given.""" + text = read(path) out = [ (tok.start[0], tok.string[1:]) for tok in tokenize.generate_tokens(io.StringIO(text).readline) if tok.type == tokenize.COMMENT ] tree = ast.parse(text) + docstrings = set() for node in ast.walk(tree): if not isinstance( node, (ast.Module, ast.ClassDef, ast.FunctionDef, ast.AsyncFunctionDef) ): continue + body = node.body + if body and isinstance(body[0], ast.Expr): + docstrings.add(id(body[0].value)) if isinstance(node, ast.Module) and skip_module_docstring: continue body = node.body @@ -309,40 +359,107 @@ def _python_texts(path, skip_module_docstring=False): (first + k, line) for k, line in enumerate(body[0].value.value.splitlines()) ] + if strings is not None: + for node in ast.walk(tree): + if ( + isinstance(node, ast.Constant) + and isinstance(node.value, str) + and id(node) not in docstrings + ): + strings += [ + (node.lineno + k, line) + for k, line in enumerate(node.value.splitlines()) + ] return out +def _python_files(): + """The Python files and stubs of python/, tests/ and dev/ (not the design tree, not the frozen + reference, not the fixture replay's key mapping).""" + for directory in ("python", "tests", "dev"): + for path in sorted((ROOT / directory).rglob("*")): + rel = path.relative_to(ROOT) + if ( + path.suffix in (".py", ".pyi") + and "design" not in rel.parts + and not str(rel).startswith("tests/reference/") + and str(rel) != FIXTURE_KEY_MAPPING + ): + yield path + + +# The generated stub: its docstrings are the module's, read at run time with their owners. +GENERATED_STUB = "python/netgraph_core/__init__.pyi" + + def python_texts(): - """The comments and docstrings of the Python files of tests/py/, python/ and dev/ (not the - design tree, not the frozen fixture replay's key mapping; the package's own docstring is read - at run time).""" + """The comments, docstrings and string constants of the Python files and stubs (the package's + own docstring is read at run time; of the generated stub only the comments).""" out = [] - for directory in ("tests/py", "python", "dev"): - for path in sorted((ROOT / directory).rglob("*.py")): - rel = str(path.relative_to(ROOT)) - if "design" in path.relative_to(ROOT).parts or rel == FIXTURE_KEY_MAPPING: - continue - skip = rel == "python/netgraph_core/__init__.py" - out += [ - (rel, line, set(), False) - for _, line in sorted(_python_texts(path, skip)) + for path in _python_files(): + rel = str(path.relative_to(ROOT)) + strings = [] + skip = rel == "python/netgraph_core/__init__.py" + texts = _python_texts(path, skip, strings) + if rel == GENERATED_STUB: + text = read(path) + texts = [ + (tok.start[0], tok.string[1:]) + for tok in tokenize.generate_tokens(io.StringIO(text).readline) + if tok.type == tokenize.COMMENT ] + strings = [] + out += [(rel, line, set(), False) for _, line in sorted(texts + strings)] + return out + + +# The files whose "#" comments are text: shell scripts, workflows, the Makefile, CMake and TOML. +HASH_COMMENTED = (".sh", ".yml", ".yaml", ".toml", ".cmake") +HASH_NAMES = ("Makefile", "CMakeLists.txt") + + +def hash_comment_texts(): + """The "#" comments (from a "#" at the line's start or after a blank) of the shell scripts, + workflows, Makefile, CMake and TOML files outside build/, venv/ and the design tree.""" + out = [] + for path in tree_files(): + rel = path.relative_to(ROOT) + if path.suffix not in HASH_COMMENTED and path.name not in HASH_NAMES: + continue + for line in read(path).splitlines(): + m = re.search(r"(?:^|\s)#(.*)$", line) + if m: + out.append((str(rel), m.group(1), set(), False)) return out def comment_texts(owners): out = [] - for path in [*_cpp_files(), *sorted((ROOT / "dev/perf").rglob("*"))]: - if path.suffix in (".hpp", ".cpp", ".h"): - rel = str(path.relative_to(ROOT)) - text = path.read_text() - comments, _ = _comments_and_code(text) - public = rel.startswith("include/netgraph/core/") and "/detail/" not in rel - regions = _owner_regions(text.splitlines(), owners) if public else {} - out += [ - (rel, comment, regions.get(n, set()), public) - for n, comment in sorted(comments.items()) - ] + for path in _cpp_files(): + rel = str(path.relative_to(ROOT)) + text = read(path) + comments, _ = _comments_and_code(text) + public = rel.startswith("include/netgraph/core/") and "/detail/" not in rel + regions = _owner_regions(text.splitlines(), owners) if public else {} + out += [ + (rel, comment, regions.get(n, set()), public) + for n, comment in sorted(comments.items()) + ] + return out + + +def cpp_string_texts(docstrings): + """The string literals of the C++ files, one text each, but a line of a public docstring + (`docstrings`: read at run time with its owners).""" + out = [] + for path in _cpp_files(): + strings = {} + _comments_and_code(read(path), strings) + rel = str(path.relative_to(ROOT)) + for _, literals in sorted(strings.items()): + for text in literals: + if text.replace("\\n", "").strip() not in docstrings: + out.append((rel, text, set(), False)) return out @@ -366,10 +483,23 @@ def _paragraphs(lines): yield paragraph +# The documents read: every Markdown file but CHANGELOG.md (it lists the names) and the frozen +# reference's README. +def _markdown_files(): + for path in tree_files(): + rel = path.relative_to(ROOT) + if path.suffix != ".md": + continue + if str(rel) == "CHANGELOG.md" or str(rel).startswith("tests/reference/"): + continue + yield path + + def markdown_texts(owners): out = [] - for rel in ("docs/semantics.md", "README.md"): - for paragraph in _paragraphs((ROOT / rel).read_text().splitlines()): + for path in _markdown_files(): + rel = str(path.relative_to(ROOT)) + for paragraph in _paragraphs(read(path).splitlines()): named = _owners_named(paragraph, owners) out.extend((rel, line, named, True) for line in paragraph) return out @@ -381,9 +511,8 @@ def code_names(): parameters and identifier-like strings of python/, tests/ and dev/ (the frozen reference included); CMake's targets and options; the API; file stems.""" out = set(api_names()[0]) - for path in [*_cpp_files(), *sorted((ROOT / "dev/perf").rglob("*"))]: - if path.suffix in (".hpp", ".cpp", ".h"): - out |= _comments_and_code(path.read_text())[1] + for path in _cpp_files(): + out |= _comments_and_code(read(path))[1] out |= set(re.findall(r"[A-Za-z_]\w*", (ROOT / "CMakeLists.txt").read_text())) for directory in ("python", "tests", "dev"): for path in sorted((ROOT / directory).rglob("*.py")): @@ -402,9 +531,8 @@ def code_names(): and node.value.isidentifier() ): out.add(node.value) - for path in ROOT.rglob("*"): - if not {".git", "build", "venv", "__pycache__"} & set(path.parts): - out.add(path.stem) + for path in tree_files(): + out.add(path.stem) return out @@ -449,10 +577,8 @@ def _code_text(text): def _code_identifiers(): """{place: identifiers} of the code clause 4 reads (place: "code:").""" out = {} - for path in [*_cpp_files(), *sorted((ROOT / "dev/perf").rglob("*"))]: - if path.suffix not in (".hpp", ".cpp", ".h"): - continue - code = _code_text(path.read_text()) + for path in _cpp_files(): + code = _code_text(read(path)) names = set() for m in re.finditer(r"[A-Za-z_]\w*", code): if code[max(0, m.start() - 5) : m.start()] != "std::": @@ -519,7 +645,15 @@ def find_stale(): owned.setdefault(leaf, set()).add(o) owners = sorted({o for os in owned.values() for o in os}) comments = comment_texts(owners) - texts = docstring_texts(owners) + comments + python_texts() + markdown_texts(owners) + docstrings = docstring_texts(owners) + texts = ( + docstrings + + comments + + cpp_string_texts({line.strip() for _, line, _, _ in docstrings}) + + python_texts() + + hash_comment_texts() + + markdown_texts(owners) + ) patterns = {name: word(name) for name in dead | set(owned)} found = [] known = code_names() @@ -547,7 +681,10 @@ def find_stale(): def check(found, rows): """The findings no row excuses, and the rows that do not excuse exactly one finding: a row - excuses its word on the one line of its place that holds its substring.""" + excuses its word on the one line of its place that holds its substring (that is the line + itself when a line of the place is exactly the substring: a one-word string literal; a code + row's substring is always the identifier itself).""" + whole = {(p, n, line) for p, n, line in found} unreviewed, matched = [], {i: set() for i in range(len(rows))} for place, name, line in found: match = [ @@ -555,7 +692,11 @@ def check(found, rows): for i, (p, n, sub, _) in enumerate(rows) if p == place and n == name - and (sub == line if place.startswith("code:") else sub in line) + and ( + sub == line + if place.startswith("code:") or (p, n, sub) in whole + else sub in line + ) ] for i in match: matched[i].add(line) @@ -601,3 +742,56 @@ def test_the_rule_reads_static_method_texts(): for place, line in texts ) assert not any("It can be called either on the class" in line for _, line in texts) + + +# One planted stale line per kind of text, (file, appended text with {name} and the tag {tag}, the +# name it plants): each must be found on its own line. `DagCacheStats` and `Tunnels` come only from the +# two-column table of public names. +PLANTS = [ + ( + "include/netgraph/core/flow_policy.hpp", + "// {name} {tag}", + "FlowPlacement", + ), + ("src/graph.cpp", "// {name} {tag}", "DagCacheStats"), + ("src/flow_policy.cpp", "// {name} {tag}", "Tunnels"), + ( + "src/forwarding.cpp", + 'const char* kPlanted = "{name} {tag}";', + "FlowPlacement", + ), + ("tests/py/helpers.py", "# {name} {tag}", "FlowPlacement"), + ( + "tests/py/helpers.py", + 'def planted():\n """{name} {tag}"""', + "FlowPlacement", + ), + ("tests/py/helpers.py", 'PLANTED = "{name} {tag}"', "FlowPlacement"), + ("dev/stubs/overrides.pyi", "# {name} {tag}", "FlowPlacement"), + ("dev/run-checks.sh", "# {name} {tag}", "FlowPlacement"), + (".github/workflows/tests.yml", "# {name} {tag}", "FlowPlacement"), + ("Makefile", "# {name} {tag}", "FlowPlacement"), + ("CMakeLists.txt", "# {name} {tag}", "FlowPlacement"), + ("pyproject.toml", "# {name} {tag}", "FlowPlacement"), + ("README.md", "{name} {tag}.", "FlowPlacement"), + ("CONTRIBUTING.md", "{name} {tag}.", "FlowPlacement"), +] + + +def test_a_planted_name_is_found_in_every_kind_of_text(monkeypatch): + if not all((ROOT / rel).is_file() for rel, _, _ in PLANTS): + pytest.skip("needs a git checkout: the sdist leaves out .github/ and dev/") + planted = {} + for i, (rel, text, name) in enumerate(PLANTS): + planted[rel] = ( + planted.get(rel, read(ROOT / rel)) + + "\n" + + text.format(name=name, tag=f"plant{i}x") + + "\n" + ) + monkeypatch.setattr(sys.modules[__name__], "PLANTED", planted) + unreviewed, _ = check(find_stale(), reviewed()) + for i, (rel, _, name) in enumerate(PLANTS): + assert any( + u.startswith(f"{rel}: [{name}] ") and f"plant{i}x" in u for u in unreviewed + ), PLANTS[i] diff --git a/tests/py/test_search.py b/tests/py/test_search.py index 10b2b98..241e075 100644 --- a/tests/py/test_search.py +++ b/tests/py/test_search.py @@ -267,7 +267,7 @@ def replaces(o): try: return ngc.spf(g, 0, o) except MemoryError: - raise LookupError("replaced") from None + raise RuntimeError("replaced") from None def changing(): log = [] @@ -350,7 +350,7 @@ def snapshot(): (lambda: (absorbs, (opts(),), list), "assert value is None, (where, value)"), ( lambda: (replaces, (opts(),), list), - "assert isinstance(error, (MemoryError, RuntimeError)), (where, repr(error))", + "assert type(error) is MemoryError, (where, repr(error))", ), (changing, "assert snapshot() == before, where"), (raising(), "assert error is None, (where, repr(error))"), diff --git a/tests/py/test_shortest_path_cache.py b/tests/py/test_shortest_path_cache.py index 830ff1a..8b3a6e8 100644 --- a/tests/py/test_shortest_path_cache.py +++ b/tests/py/test_shortest_path_cache.py @@ -279,9 +279,8 @@ def sweep_frozen(cache, fn, args, hits=0, miss=False): assert error is None, repr(error) assert after == plus(before, hits=hits), (k, before, after) return inside - assert isinstance(error, (MemoryError, RuntimeError)), (k, repr(error)) + assert type(error) is MemoryError, (k, repr(error)) if miss and after == plus(before, misses=1): - assert isinstance(error, MemoryError), (k, repr(error)) translated = k if translated is None else translated continue assert translated is None, ( @@ -355,11 +354,12 @@ def test_frozen_statistics_survive_python_allocation_failures(): @needs_hooks def test_the_frozen_sweep_rejects_a_wrong_call(): - # sweep_frozen rejects a wrong call, each on its own clause: one that absorbs the injected - # failure; one that publishes a hit before the call the failure reaches; a hit where a miss - # is expected; a miss counted by another cache; a completing call that raises; a hit count - # other than expected; a failed translation of the miss reported as RuntimeError; a failure - # inside a call after a translation; and a call that never completes. + # sweep_frozen rejects a wrong call, each on the clause it breaks: one that absorbs the + # injected failure and a failed translation of the miss reported as RuntimeError (both on the + # exact class); one that publishes a hit before the call the failure reaches; a hit where a + # miss is expected; a miss counted by another cache; a completing call that raises; a hit + # count other than expected; a failure inside a call after a translation; and a call that + # never completes. g = fabric() cache = prepopulate(g, [[3]]) other = prepopulate(g, [[3]]) @@ -401,7 +401,7 @@ def inside_after_translation(*args): absorbs, hit, {"hits": 2}, - "assert isinstance(error, (MemoryError, RuntimeError)), (k, repr(error))", + "assert type(error) is MemoryError, (k, repr(error))", ), (hits_first, hit, {"hits": 2}, "assert after == before, (k, before, after)"), ( @@ -432,7 +432,7 @@ def inside_after_translation(*args): runtime_error, miss, {"miss": True}, - "assert isinstance(error, MemoryError), (k, repr(error))", + "assert type(error) is MemoryError, (k, repr(error))", ), ( inside_after_translation, diff --git a/tests/py/test_source_allocation.py b/tests/py/test_source_allocation.py index 8235023..fc0426c 100644 --- a/tests/py/test_source_allocation.py +++ b/tests/py/test_source_allocation.py @@ -675,6 +675,34 @@ def test_pinned_in_the_new_shape(): assert (r.offered, r.source_drops) == (2, want[2]) +def test_equal_source_increments_beyond_64_bits(): + # Three equal sources, LOSSY increments: each source's cumulative offer is RR(X) of the + # cumulative total X, X // 3 plus one for the first X % 3 sources, also once X passes 2^64; + # the same through a ShortestPaths policy and a Pinned policy over its program. The last offer, + # 4, after the crossing, is no multiple of 3, so a rule that ignored X's high word would fail. + g = ngc.Graph(4, [0, 1, 2], [3, 3, 3], [1, 1, 1], [1, 2, 3], 1.0) + lossy = ngc.FlowPolicyConfig(routing=ngc.ShortestPaths(), admission=A.LOSSY) + sp = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1, 2], 3, lossy) + program = sp.replace(0).program + pinned = ngc.FlowPolicy( + ngc.FlowLedger(g), + [0, 1, 2], + 3, + ngc.FlowPolicyConfig(routing=ngc.Pinned(program), admission=A.LOSSY), + ) + total = 0 + for offer in [1, 4] + [2**62 - 1] * 5 + [4]: + total += offer + expected = [total // 3 + (1 if i < total % 3 else 0) for i in range(3)] + for policy in (sp, pinned): + r = policy.place(offer) + assert r.offered == total + assert [row.offered for row in r.by_source] == expected + assert r.delivered == sum(min(x, 1) for x in expected) # 1-unit links + assert r.source_drops == 0 + assert total == 23058430092136939524 > 2**64 + + def test_terminations(): # An empty roster (no edge reaches 1 from 0). for config in (glob(), cost_only(), cost_only(admission=A.LOSSY)): diff --git a/tests/typing/valid_client.py b/tests/typing/valid_client.py index 97e3e0c..81a9fd3 100644 --- a/tests/typing/valid_client.py +++ b/tests/typing/valid_client.py @@ -235,7 +235,7 @@ assert_type(cache.stats().hits, int) routing = global_cfg.routing if isinstance(routing, ng.CentralizedTE): - print("Global routing:", routing) + print("CentralizedTE routing:", routing) print(call_delivered, len(batch), len(paths), ng.UNREACHABLE, ng.__version__) # CostStretch takes a Fraction, a float, a NumPy floating value or an integer; factor is a Fraction. From 9357f4f48805a09adee3738096d1003c355ae7e3 Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Tue, 20 Oct 2026 02:46:50 +0100 Subject: [PATCH 20/39] One rule for error classes Every public entry now raises TypeError for an argument of a type it never accepts and ValueError for an accepted type with a value outside its domain; the texts stay as they were. Integer positions take any exact integer (an object with __index__, never a bool); positions that take a non-integer number take exactly int, float and NumPy numeric scalars, or a sequence or array of them, so a Decimal, a Fraction outside CostStretch or a bool among numbers is refused. The converter is one classifier with a stated order, and an allocation failure inside it is a MemoryError. Co-Authored-By: Claude Opus 5.5 --- CHANGELOG.md | 18 + bindings/python/eligibility.cpp | 2 +- bindings/python/evaluators.cpp | 18 +- bindings/python/flow_ledger.cpp | 5 +- bindings/python/flow_policy.cpp | 10 +- bindings/python/flow_solver_hook.cpp | 4 +- bindings/python/forwarding_program.cpp | 12 +- bindings/python/graph.cpp | 15 +- bindings/python/integers.hpp | 60 +-- bindings/python/module.cpp | 12 +- bindings/python/path.cpp | 4 +- bindings/python/path_enumeration.cpp | 6 +- bindings/python/predecessor_dag.cpp | 2 +- bindings/python/routing_models.cpp | 24 +- bindings/python/search.cpp | 2 +- bindings/python/shortest_path_cache.cpp | 2 +- bindings/python/strict_bool.hpp | 20 + bindings/python/strict_float.hpp | 67 +++ bindings/python/units.cpp | 225 ++++++++- bindings/python/values.hpp | 16 +- dev/pytest_guard.py | 7 + docs/semantics.md | 41 +- python/netgraph_core/__init__.pyi | 36 +- tests/py/removed_names_reviewed.txt | 4 +- tests/py/test_centralized_te_tunnels.py | 4 +- tests/py/test_contract_examples.py | 637 +++++++++++++++++++++++- tests/py/test_distributed_te.py | 14 +- tests/py/test_edge_amounts.py | 39 +- tests/py/test_flow_ledger.py | 40 +- tests/py/test_flow_policy.py | 26 +- tests/py/test_graph.py | 31 +- tests/py/test_ksp.py | 2 +- tests/py/test_min_cost_flow.py | 16 +- tests/py/test_native_allocation.py | 16 +- tests/py/test_number_types.py | 557 +++++++++++++++++++++ tests/py/test_programs.py | 4 +- tests/py/test_public_surface.py | 52 +- tests/py/test_route_structures.py | 6 +- tests/py/test_search.py | 2 +- tests/py/test_source_allocation.py | 10 +- tests/py/test_units.py | 241 ++++++++- 41 files changed, 2054 insertions(+), 255 deletions(-) create mode 100644 bindings/python/strict_float.hpp create mode 100644 tests/py/test_number_types.py diff --git a/CHANGELOG.md b/CHANGELOG.md index 7707f38..1da6f06 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -242,6 +242,24 @@ API. next to `py.typed`. The stub carries the binding docstrings. `bash dev/stubs/run.sh generate` regenerates it; `make stubs-check` checks it against a fresh generation, the wheel and sdist contents, and typed client programs. +- **Input error classes**: one rule at every public entry. A type the position never takes raises + `TypeError`: a bool (Python's or `numpy.bool_`) at any numeric position, a float where only an + integer is taken, a string, `None` where none is allowed, an object of another class; for a vector + a non-sequence, a nested entry, an array of another rank or of a non-integer dtype. A value + outside its domain raises `ValueError`: a range, a length, NaN, `-inf`, a finite float as an offer + or a design demand. Texts are unchanged. Against this release's earlier development snapshots, + the wrong-type errors of call arguments, search options, graph arrays and node ids, vectors, + amounts, `None` for `graph`, `ledger` or `dag`, FlowIds, `evaluate_pairs`' pairs, + `Eligibility.intersect`, `Path` hops and `to_units` become `TypeError` (were `ValueError`): + `place(True)` and `SpfOptions(FORWARD, min_residual=1.0)` at the call raise `TypeError`, while + `place(1.5)` and `min_residual=0` stay `ValueError`. The non-integer number positions (a + `resolution` of `Graph`, `to_units` and `as_float`, `to_units`' values) take exactly ints, floats + and NumPy numbers, a subclass by its value: a bool (a resolution read as 1.0 or 0.0 before), a + `Decimal`, a `Fraction`, an object known by `__float__`, `__index__` or `__array__`, or a 0-d array + as a resolution is refused with `TypeError`; an integer beyond the float range as a resolution is now a `ValueError` with the + resolution's text (was pybind11's `TypeError`). `to_units` refuses a bool entry beside numbers + (`[True, 1.0]`, accepted before) with `TypeError`. Integer positions, `as_float`'s amounts + included, keep Python's integer protocol (`__index__`, never a bool). - **Results that change** against this release's earlier development snapshots, on purpose: a zero-capacity link stays in routing, so a direct edge of capacity 0 and cost 1 beside a cost-2 route makes the shortest cost 1 (was 2), and an equal LOSSLESS split that sends that edge its diff --git a/bindings/python/eligibility.cpp b/bindings/python/eligibility.cpp index f0658d4..d81104f 100644 --- a/bindings/python/eligibility.cpp +++ b/bindings/python/eligibility.cpp @@ -40,7 +40,7 @@ void register_eligibility(py::module_& m) { .def_static( "intersect", [](const std::shared_ptr& a, const std::shared_ptr& b) { - if (!a || !b) throw py::value_error("Eligibility.intersect takes two Eligibility values"); + if (!a || !b) throw py::type_error("Eligibility.intersect takes two Eligibility values"); auto r = Eligibility::intersect(*a, *b); if (r.uid() == a->uid()) return typed_shared(a); if (r.uid() == b->uid()) return typed_shared(b); diff --git a/bindings/python/evaluators.cpp b/bindings/python/evaluators.cpp index 6cb7bd3..2834f0e 100644 --- a/bindings/python/evaluators.cpp +++ b/bindings/python/evaluators.cpp @@ -35,7 +35,7 @@ namespace { // bool, a string, ...) raises TypeError here; its domain is the evaluator's check, after the configuration. // An __index__ object is kept as its int. py::object units_as_given(const py::object& obj, const char* name) { - if (obj.is_none() || PyFloat_Check(obj.ptr()) || py::isinstance(obj, py::module_::import("numpy").attr("floating"))) { + if (obj.is_none() || PyFloat_Check(obj.ptr()) || has_type(obj.ptr(), numpy_number_types().second)) { return obj; } if (!is_bool(obj) && PyIndex_Check(obj.ptr())) { @@ -144,7 +144,7 @@ void register_evaluators(py::module_& m) { "evaluate_demand", [](const std::shared_ptr& graph, const py::object& sources, const py::object& destinations, const py::object& opts) { - if (!graph) throw py::value_error("graph must be a Graph"); + if (!graph) throw py::type_error("graph must be a Graph"); const auto o = options_of(opts, "EvaluationOptions"); const auto s = node_ids(sources, graph->num_nodes(), "sources"); const auto d = node_ids(destinations, graph->num_nodes(), "destinations"); @@ -175,20 +175,20 @@ void register_evaluators(py::module_& m) { "evaluate_pairs", [](const std::shared_ptr& graph, const py::object& pairs, const py::object& opts, const py::object& per_pair_eligibility, const py::object& workers) { - if (!graph) throw py::value_error("graph must be a Graph"); + if (!graph) throw py::type_error("graph must be a Graph"); // The arguments first, then each pair completely and in pair order (the same two parts // as the C++ validation), so the lowest failing pair index is reported. const auto o = options_of(opts, "EvaluationOptions"); const auto w = workers_of(workers, false, static_cast(o.cache)); const EvaluationOptions c = o.native(); detail::check_batch_arguments(*graph, c, w); - if (is_invalid_sequence(pairs)) throw py::value_error("pairs must be a sequence of (sources, destinations)"); + if (is_invalid_sequence(pairs)) throw py::type_error("pairs must be a sequence of (sources, destinations)"); const auto items = py::reinterpret_borrow(pairs); const auto num_pairs = py::len(items); std::optional eligs; if (!per_pair_eligibility.is_none()) { // An explicit sequence has one entry per pair (None entries allowed), also when empty. - if (is_invalid_sequence(per_pair_eligibility)) throw py::value_error("per_pair_eligibility must be a sequence of Eligibility or None"); + if (is_invalid_sequence(per_pair_eligibility)) throw py::type_error("per_pair_eligibility must be a sequence of Eligibility or None"); eligs = py::reinterpret_borrow(per_pair_eligibility); if (py::len(*eligs) != num_pairs) { throw py::value_error("per_pair_eligibility has " + std::to_string(py::len(*eligs)) + " entries for " + @@ -201,9 +201,9 @@ void register_evaluators(py::module_& m) { const auto n = graph->num_nodes(); for (std::size_t i = 0; i < num_pairs; ++i) { const py::object item = items[i]; - if (is_invalid_sequence(item) || py::len(item) != 2) { - throw py::value_error("each pair must be (sources, destinations)"); - } + // Not a sequence is a wrong type, a sequence of another length a wrong value: one text. + if (is_invalid_sequence(item)) throw py::type_error("each pair must be (sources, destinations)"); + if (py::len(item) != 2) throw py::value_error("each pair must be (sources, destinations)"); auto t = py::reinterpret_borrow(item); auto src = node_ids(t[0], n, "sources"); auto dst = node_ids(t[1], n, "destinations"); @@ -254,7 +254,7 @@ void register_evaluators(py::module_& m) { "evaluate_edge_failures", [](const std::shared_ptr& graph, const py::object& sources, const py::object& destinations, const py::object& opts, const py::object& workers) { - if (!graph) throw py::value_error("graph must be a Graph"); + if (!graph) throw py::type_error("graph must be a Graph"); const auto o = options_of(opts, "EvaluationOptions"); const auto s = node_ids(sources, graph->num_nodes(), "sources"); const auto d = node_ids(destinations, graph->num_nodes(), "destinations"); diff --git a/bindings/python/flow_ledger.cpp b/bindings/python/flow_ledger.cpp index 1acc50d..914371a 100644 --- a/bindings/python/flow_ledger.cpp +++ b/bindings/python/flow_ledger.cpp @@ -31,7 +31,7 @@ void register_flow_ledger(py::module_& m) { "placement, removal or reservation). reset() and copy() are rejected while a policy is bound (a\n" "FlowPolicy built on this ledger still exists).") .def(py::init([](const std::shared_ptr& graph, const py::object& service_baseline, const py::object& reservation_baseline) { - if (!graph) throw py::value_error("graph must be a Graph"); + if (!graph) throw py::type_error("graph must be a Graph"); const auto caps = graph->edge_capacity_units(); const auto r = service_baseline.is_none() ? std::vector(caps.begin(), caps.end()) : edge_units(service_baseline, *graph, "service_baseline"); @@ -42,7 +42,8 @@ void register_flow_ledger(py::module_& m) { py::arg("graph"), py::arg("service_baseline") = py::none(), py::kw_only(), py::arg("reservation_baseline") = py::none(), "service_baseline and reservation_baseline: the baselines as integer units, one entry per edge in\n" "[0, the edge's capacity] (a physical baseline goes through to_units first; service_baseline\n" - "checked first); None: the capacities. ValueError otherwise.") + "checked first); None: the capacities. A wrong type (not a 1-D sequence of integers, a non-integer\n" + "entry) raises TypeError, a wrong length or an entry outside its range ValueError.") .def("uid", &FlowLedger::uid, "process-unique ledger uid (the first half of every FlowId)") .def( "graph", [](const FlowLedger& fg) { return typed_shared(fg.graph()); }, diff --git a/bindings/python/flow_policy.cpp b/bindings/python/flow_policy.cpp index d779b6f..8e49604 100644 --- a/bindings/python/flow_policy.cpp +++ b/bindings/python/flow_policy.cpp @@ -117,14 +117,14 @@ void register_flow_policy(py::module_& m) { "replace and forward start one too. A policy dropped without remove()\n" "leaves its records in the ledger as orphans: readable, never changed again, cleared by\n" "FlowLedger.reset(). sources and destinations are one NodeId or a sequence; the two sets must not\n" - "overlap. ValueError for invalid endpoints, configurations and requests (non-integer node ids and\n" - "requests included) and for objects of another graph, ledger or policy; TypeError for a ledger,\n" - "config, eligibility, cache or outputs of the wrong class (a ledger of None: ValueError) and for an\n" - "unknown keyword.") + "overlap. ValueError for invalid endpoints, configurations and requests and for objects of another\n" + "graph, ledger or policy; TypeError for a ledger (None included), config, eligibility, cache or\n" + "outputs of the wrong class, a node id or a request of a wrong type (a bool, a float node id, a\n" + "string) and an unknown keyword.") .def(py::init([](const std::shared_ptr& ledger, const py::object& sources, const py::object& destinations, const FlowPolicyConfig& config, const std::shared_ptr& elig, const std::shared_ptr& cache) { - if (!ledger) throw py::value_error("ledger must be a FlowLedger"); + if (!ledger) throw py::type_error("ledger must be a FlowLedger"); const auto n = ledger->graph()->num_nodes(); const auto s = node_ids(sources, n, "sources"); const auto d = node_ids(destinations, n, "destinations"); diff --git a/bindings/python/flow_solver_hook.cpp b/bindings/python/flow_solver_hook.cpp index 7b265c0..1c87a8b 100644 --- a/bindings/python/flow_solver_hook.cpp +++ b/bindings/python/flow_solver_hook.cpp @@ -37,7 +37,7 @@ void register_flow_solver_hook(py::module_& m) { [](const std::shared_ptr& graph, const py::object& view, const py::object& sources, const py::object& destinations, const std::shared_ptr& elig, const py::object& cap) -> py::dict { - if (!graph) throw py::value_error("graph must be a Graph"); + if (!graph) throw py::type_error("graph must be a Graph"); // The core's order (view length, view entries, sources, destinations, overlap, cap, // Eligibility), every value checked before narrowing; the core re-checks the same order. const auto v = edge_amounts(view, *graph, "view", "view (capacity units)"); @@ -48,7 +48,7 @@ void register_flow_solver_hook(py::module_& m) { std::optional c; if (!cap.is_none()) { if (is_bool(cap) || !PyIndex_Check(cap.ptr())) { - throw py::value_error("cap must be an integer number of units in [0, 2^63 - 2] or None"); + throw py::type_error("cap must be an integer number of units in [0, 2^63 - 2] or None"); } py::object idx = python_int(cap, "cap"); int overflow = 0; diff --git a/bindings/python/forwarding_program.cpp b/bindings/python/forwarding_program.cpp index c978130..a31ce13 100644 --- a/bindings/python/forwarding_program.cpp +++ b/bindings/python/forwarding_program.cpp @@ -99,9 +99,8 @@ void register_program(py::module_& m) { "(0 allowed: it carries nothing). from_routes validates it.") .def(py::init([](const py::object& head, const py::object& route, const py::object& weight) { RouteDefinition r; - r.head = static_cast(integer_value(head, std::numeric_limits::min(), - std::numeric_limits::max(), "head", - IntegerArgument::Configuration)); + r.head = static_cast( + integer_value(head, std::numeric_limits::min(), std::numeric_limits::max(), "head")); if (py::isinstance(route)) { r.route = std::shared_ptr(route.cast>()); } else if (py::isinstance(route)) { @@ -110,8 +109,7 @@ void register_program(py::module_& m) { throw py::type_error("RouteDefinition route must be a Path or a PredecessorDAG (got " + std::string(py::str(py::type::of(route).attr("__name__"))) + ")"); } - r.weight = integer_value(weight, std::numeric_limits::min(), std::numeric_limits::max(), - "weight", IntegerArgument::Configuration); + r.weight = integer_value(weight, std::numeric_limits::min(), std::numeric_limits::max(), "weight"); return r; }), py::arg("head"), py::arg("route"), py::kw_only(), py::arg("weight") = 1, @@ -162,7 +160,7 @@ void register_program(py::module_& m) { [](const std::shared_ptr& graph, const py::object& sources, const py::object& destinations, const py::object& routes, std::optional allocation, std::optional weight_basis, const py::object& edge_weights, const py::object& residual) { - if (!graph) throw py::value_error("graph must be a Graph"); + if (!graph) throw py::type_error("graph must be a Graph"); // Conversion first (TypeError and integer type defects), then the validation order of // from_routes; the values beyond int64 are checked here in that order. if (is_invalid_sequence(routes)) throw py::type_error("routes must be a sequence of RouteDefinition"); @@ -216,7 +214,7 @@ void register_program(py::module_& m) { [](const std::shared_ptr& graph, const py::object& sources, const py::object& destinations, const py::object& dag, std::optional allocation, std::optional weight_basis, const py::object& edge_weights, const py::object& residual) { - if (!graph) throw py::value_error("graph must be a Graph"); + if (!graph) throw py::type_error("graph must be a Graph"); // Conversion first (TypeError and integer type defects), then the validation order of // from_dag; the values beyond int64 are checked here in that order. if (!py::isinstance(dag)) { diff --git a/bindings/python/graph.cpp b/bindings/python/graph.cpp index 7e613a5..b61092d 100644 --- a/bindings/python/graph.cpp +++ b/bindings/python/graph.cpp @@ -11,6 +11,7 @@ #include "netgraph/core/eligibility.hpp" #include "netgraph/core/graph.hpp" #include "integers.hpp" +#include "strict_float.hpp" #include "values.hpp" #include "registration.hpp" @@ -58,7 +59,7 @@ void check_unit_values(const py::handle& edge_capacity_units) { std::shared_ptr make_graph(const py::object& num_nodes, const py::object& source, const py::object& destination, const py::object& edge_capacity_units, - const py::object& cost, double resolution) { + const py::object& cost, StrictFloat resolution) { // The constructor's validation order: the resolution, the unit values, the shapes, zero or // negative costs, the remaining bounds (ids in range, then the sums); every value is read // without narrowing, and the messages are the C++ constructor's, which re-checks the same order. @@ -128,11 +129,13 @@ void register_graph(py::module_& m) { "two in [2^-32, 2^32]); physical capacities enter through to_units.") .def(py::init(&make_graph), py::arg("num_nodes"), py::arg("edge_sources"), py::arg("edge_destinations"), py::arg("edge_capacity_units"), py::arg("edge_costs"), py::arg("resolution"), - "Validates, in order, and reports the first defect as ValueError: the resolution (a power of\n" - "two in [2^-32, 2^32]), the unit values (every capacity in [0, 2^62)), the array shapes,\n" - "zero or negative costs, the remaining bounds (endpoints in range, then the\n" - "capacity and cost sums below 2^62). Integers are read without narrowing, so the error\n" - "does not depend on how the input is represented.") + "Validates, in order, and reports the first defect: the resolution (a power of two in\n" + "[2^-32, 2^32]; a bool is a TypeError), the unit values (every capacity in [0, 2^62)), the array\n" + "shapes, zero or negative costs, the remaining bounds (endpoints in range, then the capacity\n" + "and cost sums below 2^62); a value of a wrong type (a bool or a float for an integer, a\n" + "non-sequence, an array of another rank or dtype) raises TypeError, a value outside its domain\n" + "ValueError. Integers are read without narrowing, so the error does not depend on how the\n" + "input is represented.") .def("uid", &Graph::uid, "process-unique id (never reused)") .def("resolution", &Graph::resolution, "the resolution q (units of capacity)") .def("num_nodes", &Graph::num_nodes, "N: node ids are 0 .. N - 1") diff --git a/bindings/python/integers.hpp b/bindings/python/integers.hpp index 261ba63..c694a95 100644 --- a/bindings/python/integers.hpp +++ b/bindings/python/integers.hpp @@ -31,35 +31,27 @@ inline bool is_bool(const py::handle& obj) { return PyBool_Check(obj.ptr()) || reinterpret_cast(Py_TYPE(obj.ptr())) == numpy_bool_type(); } -// Where an integer argument is given: a configuration value's constructor (FlowPolicyConfig's -// models, TunnelCount, AbsoluteCost, RouteDefinition) or a search option or call argument. -enum class IntegerArgument { Configuration, Call }; - -// The one place that decides the class of a wrong-type integer: a configuration value raises -// TypeError at construction, a search option or a call argument ValueError; the text is the same. -[[noreturn]] inline void throw_not_an_integer(const py::handle& item, const std::string& what, IntegerArgument where) { - const std::string text = - what + " must be an integer (got " + std::string(py::str(py::type::of(item).attr("__name__"))) + ")"; - if (where == IntegerArgument::Configuration) throw py::type_error(text); - throw py::value_error(text); +// A wrong-type integer argument (a bool, a float, a string, None, another class): TypeError at +// every position, the value errors of a well-typed integer being ValueError (the library's one rule +// for the class of an input error). +[[noreturn]] inline void throw_not_an_integer(const py::handle& item, const std::string& what) { + throw py::type_error(what + " must be an integer (got " + std::string(py::str(py::type::of(item).attr("__name__"))) + ")"); } // The Python int of an integer-like object (a Python int or a NumPy integer scalar); bools and // everything else are rejected (throw_not_an_integer), and an exception of the object's own // __index__ propagates as raised. The result is an exact int, so PyLong_AsLongLongAndOverflow // cannot fail on it. -inline py::object python_int(const py::handle& item, const std::string& what, - IntegerArgument where = IntegerArgument::Call) { - if (is_bool(item) || !PyIndex_Check(item.ptr())) throw_not_an_integer(item, what, where); +inline py::object python_int(const py::handle& item, const std::string& what) { + if (is_bool(item) || !PyIndex_Check(item.ptr())) throw_not_an_integer(item, what); py::object idx = py::reinterpret_steal(PyNumber_Index(item.ptr())); if (!idx) throw py::error_already_set(); return idx; } // One integer of [lo, hi] (scalar arguments). -inline std::int64_t integer_value(const py::handle& item, std::int64_t lo, std::int64_t hi, const std::string& what, - IntegerArgument where = IntegerArgument::Call) { - py::object idx = python_int(item, what, where); +inline std::int64_t integer_value(const py::handle& item, std::int64_t lo, std::int64_t hi, const std::string& what) { + py::object idx = python_int(item, what); int overflow = 0; const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); if (overflow != 0 || v < lo || v > hi) { @@ -113,27 +105,22 @@ inline bool is_invalid_sequence(const py::handle& obj) { return py::isinstance(obj) || py::isinstance(obj) || !py::isinstance(obj); } -// A type or shape defect of a sequence argument: TypeError for a configuration value's vector, -// ValueError for a call or search argument (as for the scalars: throw_not_an_integer). -[[noreturn]] inline void throw_vector_defect(const std::string& text, IntegerArgument where) { - if (where == IntegerArgument::Configuration) throw py::type_error(text); - throw py::value_error(text); -} +// A type or shape defect of a sequence argument (a non-sequence, a string, a nested entry, an +// array of another rank or of a non-integer dtype): TypeError, as for the scalars +// (throw_not_an_integer); its length is a value. +[[noreturn]] inline void throw_vector_defect(const std::string& text) { throw py::type_error(text); } -inline CheckedIntegerVector wide_integers(const py::handle& obj, const char* name, - IntegerArgument where = IntegerArgument::Call) { +inline CheckedIntegerVector wide_integers(const py::handle& obj, const char* name) { CheckedIntegerVector out; out.source = py::reinterpret_borrow(obj); if (py::isinstance(obj)) { auto arr = py::reinterpret_borrow(obj); if (arr.ndim() != 1) { - throw_vector_defect(std::string(name) + " must be a 1-D array (got " + std::to_string(arr.ndim()) + " dimensions)", - where); + throw_vector_defect(std::string(name) + " must be a 1-D array (got " + std::to_string(arr.ndim()) + " dimensions)"); } const char kind = arr.dtype().kind(); if (kind != 'i' && kind != 'u') { - throw_vector_defect(std::string(name) + " entries must be integers (got dtype " + std::string(py::str(arr.dtype())) + ")", - where); + throw_vector_defect(std::string(name) + " entries must be integers (got dtype " + std::string(py::str(arr.dtype())) + ")"); } out.value.reserve(static_cast(arr.size())); if (kind == 'u' && arr.itemsize() == 8) { @@ -156,12 +143,12 @@ inline CheckedIntegerVector wide_integers(const py::handle& obj, const char* nam for (py::ssize_t i = 0; i < r.shape(0); ++i) out.value.push_back(r(i)); return out; } - if (is_invalid_sequence(obj)) throw_vector_defect(std::string(name) + " must be a sequence of integers", where); + if (is_invalid_sequence(obj)) throw_vector_defect(std::string(name) + " must be a sequence of integers"); auto seq = py::reinterpret_borrow(obj); const std::size_t n = seq.size(); out.value.reserve(n); for (std::size_t i = 0; i < n; ++i) { - py::object idx = python_int(seq[i], std::string(name) + "[" + std::to_string(i) + "]", where); + py::object idx = python_int(seq[i], std::string(name) + "[" + std::to_string(i) + "]"); int overflow = 0; const long long v = PyLong_AsLongLongAndOverflow(idx.ptr(), &overflow); if (overflow != 0) { @@ -185,27 +172,24 @@ inline bool is_nested(const py::handle& item) { // The shape step: the length of a rank-1 integer sequence argument. A NumPy array of another // rank (0-D included), a nested sequence or a non-sequence is a shape defect. Entry types and // values are not read here; their steps come later. -inline std::size_t sequence_length(const py::handle& obj, const char* name, IntegerArgument where = IntegerArgument::Call) { +inline std::size_t sequence_length(const py::handle& obj, const char* name) { if (py::isinstance(obj)) { auto arr = py::reinterpret_borrow(obj); if (arr.ndim() != 1) { - throw_vector_defect(std::string(name) + " must be a 1-D array (got " + std::to_string(arr.ndim()) + " dimensions)", - where); + throw_vector_defect(std::string(name) + " must be a 1-D array (got " + std::to_string(arr.ndim()) + " dimensions)"); } return static_cast(arr.size()); } if (is_invalid_sequence(obj)) { throw_vector_defect(std::string(name) + " must be a 1-D sequence of integers (got " + - std::string(py::str(py::type::of(obj).attr("__name__"))) + ")", - where); + std::string(py::str(py::type::of(obj).attr("__name__"))) + ")"); } auto seq = py::reinterpret_borrow(obj); const std::size_t n = seq.size(); for (std::size_t i = 0; i < n; ++i) { if (is_nested(seq[i])) { throw_vector_defect(std::string(name) + " must be a 1-D sequence of integers (entry " + std::to_string(i) + - " is a sequence)", - where); + " is a sequence)"); } } return n; diff --git a/bindings/python/module.cpp b/bindings/python/module.cpp index 409d08a..05d9ba9 100644 --- a/bindings/python/module.cpp +++ b/bindings/python/module.cpp @@ -10,12 +10,13 @@ - Graph accessors return read-only NumPy views that keep the graph alive (no per-call copy). - Integer inputs (capacities, costs, ids, views, caps) must be integers: Python ints, NumPy - integer scalars or integer arrays; floats and bools are rejected with ValueError, never + integer scalars or integer arrays; floats and bools are rejected with TypeError, never truncated. Values are read without narrowing and validated in the C++ constructors' order before any conversion to the C++ types. Physical values enter only through to_units; the resolution is validated before anything else. - - std::invalid_argument from Core maps to ValueError; enumeration values outside their - enumeration are rejected at construction (ValueError). + - One rule for the class of an input error: a type the position never takes TypeError, a value + outside its domain ValueError. std::invalid_argument from Core maps to ValueError; enumeration + values outside their enumeration are rejected at construction (ValueError). - _solve_min_cost_flow is a private entry point for the flow checks: it returns the flow core's payload as a dict of Python ints and lists. - Amounts and counters cross as Python ints (exact, also beyond 64 bits); per-edge arrays as @@ -34,6 +35,11 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { "NetGraph-Core: the graph on integer units, the route structures, the integer ledger, the forwarding\n" "programs, the policy engine FlowPolicy, the ShortestPathCache, the evaluators (evaluate_demand,\n" "evaluate_pairs, evaluate_edge_failures) and the searches (spf, ksp, resolve_to_paths).\n" + "One rule for the class of an input error, at every public entry: a type the position never takes\n" + "(a bool at a numeric position, a float where only an integer is taken, a string, None where none\n" + "is allowed, another class; for a vector a non-sequence, a nested entry, an array of another rank\n" + "or of a non-integer dtype) raises TypeError, a value outside its domain (a range, a length, NaN,\n" + "-inf, a finite float where floats are taken only for +inf) ValueError; the text is the same.\n" "Every public call either completes or raises and leaves Core state as it was, with two limits:\n" "(1) pybind11 does not check every allocation when it constructs a bound object from Python, parses\n" "the arguments of a call that passes keywords, or converts an attribute or a returned value into a\n" diff --git a/bindings/python/path.cpp b/bindings/python/path.cpp index 0be048f..a1084e2 100644 --- a/bindings/python/path.cpp +++ b/bindings/python/path.cpp @@ -25,8 +25,8 @@ void register_path(py::module_& m) { "from the same u to the same v, in the caller's order. cost = the sum over hops of the cost of\n" "each hop's cheapest member.") .def(py::init([](const std::shared_ptr& graph, const py::object& hops) { - if (!graph) throw py::value_error("graph must be a Graph"); - if (is_invalid_sequence(hops)) throw py::value_error("Path: hops must be a sequence of hops (sequences of EdgeIds)"); + if (!graph) throw py::type_error("graph must be a Graph"); + if (is_invalid_sequence(hops)) throw py::type_error("Path: hops must be a sequence of hops (sequences of EdgeIds)"); auto seq = py::reinterpret_borrow(hops); std::vector raw; for (std::size_t h = 0; h < seq.size(); ++h) { diff --git a/bindings/python/path_enumeration.cpp b/bindings/python/path_enumeration.cpp index ea05ff0..4c226bc 100644 --- a/bindings/python/path_enumeration.cpp +++ b/bindings/python/path_enumeration.cpp @@ -103,7 +103,7 @@ void register_paths(py::module_& m) { m.def( "ksp", [](const std::shared_ptr& graph, const py::object& src, const py::object& dst, const py::object& opts) { - if (!graph) throw py::value_error("graph must be a Graph"); + if (!graph) throw py::type_error("graph must be a Graph"); const auto o = options_of(opts, "KspOptions"); const auto n = graph->num_nodes(); // ksp's validation order on unnarrowed values (Core repeats every check): the tie_break, the @@ -151,8 +151,8 @@ void register_paths(py::module_& m) { "resolve_to_paths", [](const std::shared_ptr& graph, const std::shared_ptr& dag, const py::object& src, const py::object& dst, StrictBool split_parallel_edges, const py::object& max_paths) { - if (!graph) throw py::value_error("graph must be a Graph"); - if (!dag) throw py::value_error("dag must be a PredecessorDAG"); + if (!graph) throw py::type_error("graph must be a Graph"); + if (!dag) throw py::type_error("dag must be a PredecessorDAG"); if (dag->graph_uid() != graph->uid()) throw py::value_error("foreign PredecessorDAG: built for another graph"); const auto n = graph->num_nodes(); const NodeId s = endpoint(src, n, "source"); diff --git a/bindings/python/predecessor_dag.cpp b/bindings/python/predecessor_dag.cpp index c64a33f..790db95 100644 --- a/bindings/python/predecessor_dag.cpp +++ b/bindings/python/predecessor_dag.cpp @@ -46,7 +46,7 @@ void register_predecessor_dag(py::module_& m) { "from_csr", [](const std::shared_ptr& graph, const py::object& offsets, const py::object& parents, const py::object& via) { - if (!graph) throw py::value_error("graph must be a Graph"); + if (!graph) throw py::type_error("graph must be a Graph"); // from_csr's validation order on unnarrowed values (the shape, then the ranges); the C++ // constructor re-checks it and adds the structural checks (endpoints, duplicates, // acyclic, ascending). diff --git a/bindings/python/routing_models.cpp b/bindings/python/routing_models.cpp index 79f30cf..e203076 100644 --- a/bindings/python/routing_models.cpp +++ b/bindings/python/routing_models.cpp @@ -72,20 +72,14 @@ const char* weight_basis_repr(WeightBasis b) { // (ValueError); the policy checks the length against its graph and the range [0, 2^62). std::shared_ptr> edge_weights_of(const py::object& edge_weights) { if (edge_weights.is_none()) return {}; - (void)sequence_length(edge_weights, "edge_weights", IntegerArgument::Configuration); - const auto w = wide_integers(edge_weights, "edge_weights", IntegerArgument::Configuration); + (void)sequence_length(edge_weights, "edge_weights"); + const auto w = wide_integers(edge_weights, "edge_weights"); for (std::size_t e = 0; e < w.size(); ++e) { if (w.sign(e) != 0) throw py::value_error("edge_weights[" + std::to_string(e) + "] must be an integer in [0, 2^62)"); } return std::make_shared>(w.narrow()); } -// An integer field of a configuration value, in [lo, hi]: a bool, a float, None or another type is -// the configuration's wrong-type error (integers.hpp); an integer outside [lo, hi] is a ValueError. -std::int64_t int_field(const py::object& obj, std::int64_t lo, std::int64_t hi, const std::string& what) { - return integer_value(obj, lo, hi, what, IntegerArgument::Configuration); -} - // A CostStretch factor as its one exact fraction, converted in this order: a bool (Python or // numpy.bool_) raises TypeError; a fractions.Fraction is taken as it is; a Python float or a NumPy // floating value is Fraction(str(f)), the shortest decimal its own type prints (a NaN or an infinity @@ -101,7 +95,7 @@ CostStretch cost_stretch_of(const py::object& factor) { py::object fraction; if (py::isinstance(factor, fraction_type)) { fraction = factor; - } else if (PyFloat_Check(factor.ptr()) || py::isinstance(factor, py::module_::import("numpy").attr("floating"))) { + } else if (PyFloat_Check(factor.ptr()) || has_type(factor.ptr(), numpy_number_types().second)) { const double x = PyFloat_AsDouble(factor.ptr()); if (x == -1.0 && PyErr_Occurred() != nullptr) throw py::error_already_set(); if (!std::isfinite(x)) throw py::value_error("CostStretch factor must be finite (got " + std::string(py::str(factor)) + ")"); @@ -132,8 +126,8 @@ CostStretch cost_stretch_of(const py::object& factor) { void register_routing(py::module_& m) { py::class_(m, "AbsoluteCost", "Cost ceiling: an absolute, inclusive path-cost budget (cost >= 0).") .def(py::init([](const py::object& cost) { - return AbsoluteCost {int_field(cost, std::numeric_limits::min(), std::numeric_limits::max(), - "AbsoluteCost cost")}; + return AbsoluteCost {integer_value(cost, std::numeric_limits::min(), std::numeric_limits::max(), + "AbsoluteCost cost")}; }), py::arg("cost"), "AbsoluteCost(cost): a 64-bit integer budget in cost units (checked >= 0 where it is used)") .def_property_readonly("cost", int_reader(&AbsoluteCost::cost), "the budget: a path qualifies when its cost is at most this") @@ -174,8 +168,8 @@ void register_routing(py::module_& m) { "design shares; if none does, the largest live-share score, then the smallest count. It does not\n" "promise whole-demand lossless delivery.") .def(py::init([](const py::object& count, StrictBool up_to) { - return TunnelCount {int_field(count, std::numeric_limits::min(), - std::numeric_limits::max(), "TunnelCount per_head"), + return TunnelCount {integer_value(count, std::numeric_limits::min(), + std::numeric_limits::max(), "TunnelCount per_head"), up_to}; }), py::arg("per_head"), py::kw_only(), py::arg("up_to") = StrictBool {false}, @@ -274,8 +268,8 @@ void register_routing(py::module_& m) { ca.tie_break = tie_break; ca.parallel_edges = parallel_edges; ca.cost_ceiling = cost_ceiling_of(cost_ceiling); - ca.min_unreserved_bandwidth = int_field(min_unreserved, std::numeric_limits::min(), - std::numeric_limits::max(), "min_unreserved_bandwidth"); + ca.min_unreserved_bandwidth = integer_value(min_unreserved, std::numeric_limits::min(), + std::numeric_limits::max(), "min_unreserved_bandwidth"); return ca; }), py::arg("tunnel_count"), py::kw_only(), py::arg("cost_ceiling") = py::none(), diff --git a/bindings/python/search.cpp b/bindings/python/search.cpp index decf447..6b8a6f7 100644 --- a/bindings/python/search.cpp +++ b/bindings/python/search.cpp @@ -128,7 +128,7 @@ void register_search(py::module_& m) { m.def( "spf", [](const std::shared_ptr& graph, const py::object& roots, const py::object& opts) { - if (!graph) throw py::value_error("graph must be a Graph"); + if (!graph) throw py::type_error("graph must be a Graph"); const auto o = options_of(opts, "SpfOptions"); const auto n = graph->num_nodes(); // spf's validation order on unnarrowed values (Core repeats every check): the enumerations, diff --git a/bindings/python/shortest_path_cache.cpp b/bindings/python/shortest_path_cache.cpp index 7b4c993..bfd67a8 100644 --- a/bindings/python/shortest_path_cache.cpp +++ b/bindings/python/shortest_path_cache.cpp @@ -47,7 +47,7 @@ void register_shortest_path_cache(py::module_& m) { "raised ShortestPathCacheMiss. A frozen cache counts its hits only when the call succeeds, Python result\n" "included.") .def(py::init([](const std::shared_ptr& graph) { - if (!graph) throw py::value_error("graph must be a Graph"); + if (!graph) throw py::type_error("graph must be a Graph"); return std::make_shared(*graph); }), py::arg("graph"), "An empty cache in building mode, bound to graph (by its uid).") diff --git a/bindings/python/strict_bool.hpp b/bindings/python/strict_bool.hpp index 152bfb0..1722bb5 100644 --- a/bindings/python/strict_bool.hpp +++ b/bindings/python/strict_bool.hpp @@ -2,12 +2,16 @@ The one bool converter of every bool parameter: exactly a Python bool or a numpy.bool_, both by type identity. pybind11's own bool caster in no-convert mode recognizes NumPy's bool by the name of its type, so a class named "numpy.bool_" passes it; this caster compares the type object. + Also NumPy's number types and the check of an object's real type against them: isinstance would + honour an object's own __class__, which may claim any class. */ #pragma once #include #include +#include + namespace netgraph::core::bindings { // A bool parameter's value (its signature says bool). @@ -22,6 +26,22 @@ inline PyObject* numpy_bool_type() { return storage.call_once_and_store_result([] { return pybind11::module_::import("numpy").attr("bool_"); }).get_stored().ptr(); } +// numpy.integer and numpy.floating, looked up once (a lookup per call would import NumPy each time). +inline const std::pair& numpy_number_types() { + PYBIND11_CONSTINIT static pybind11::gil_safe_call_once_and_store> storage; + return storage + .call_once_and_store_result([] { + const auto np = pybind11::module_::import("numpy"); + return std::make_pair(pybind11::object(np.attr("integer")), pybind11::object(np.attr("floating"))); + }) + .get_stored(); +} + +// Whether o's real type (never its __class__) is `type` or a subclass of it. +inline bool has_type(PyObject* o, const pybind11::object& type) { + return PyType_IsSubtype(Py_TYPE(o), reinterpret_cast(type.ptr())) != 0; +} + } // namespace netgraph::core::bindings namespace pybind11::detail { diff --git a/bindings/python/strict_float.hpp b/bindings/python/strict_float.hpp new file mode 100644 index 0000000..631f172 --- /dev/null +++ b/bindings/python/strict_float.hpp @@ -0,0 +1,67 @@ +/* + The float converter of the resolution parameters. It takes exactly a number: a float (a Python + float or a NumPy floating value, through its own __float__) or an integer (a Python int or a + NumPy integer, read exactly). Every other type is refused, and the call fails with pybind11's + TypeError for incompatible arguments: a bool (Python's or numpy.bool_, by type identity), a + fractions.Fraction, a decimal.Decimal, any object known only by __float__ or __index__. An + integer beyond the float range is a value: it becomes +inf or -inf, which the resolution's own + check refuses with its ValueError. An exception of the value's own conversion propagates as + raised. +*/ +#pragma once + +#include + +#include + +#include "strict_bool.hpp" + +namespace netgraph::core::bindings { + +// A float parameter's value (its signature says float). +struct StrictFloat { + double value {0.0}; + constexpr operator double() const noexcept { return value; } // NOLINT(google-explicit-constructor) +}; + +} // namespace netgraph::core::bindings + +namespace pybind11::detail { + +template <> +struct type_caster { + // Named as pybind11's own float conversion names its argument and its result. + PYBIND11_TYPE_CASTER(netgraph::core::bindings::StrictFloat, io_name("typing.SupportsFloat | typing.SupportsIndex", "float")); + + bool load(handle src, bool convert) { + PyObject* o = src.ptr(); + if (PyBool_Check(o) || reinterpret_cast(Py_TYPE(o)) == netgraph::core::bindings::numpy_bool_type()) return false; + const auto& [np_integer, np_floating] = netgraph::core::bindings::numpy_number_types(); + if (PyFloat_Check(o) || netgraph::core::bindings::has_type(o, np_floating)) { + const double x = PyFloat_AsDouble(o); + if (x == -1.0 && PyErr_Occurred() != nullptr) throw error_already_set(); + value.value = x; + return true; + } + if (!convert || (PyLong_Check(o) == 0 && !netgraph::core::bindings::has_type(o, np_integer))) return false; + const object idx = reinterpret_steal(PyNumber_Index(o)); + if (!idx) throw error_already_set(); + const double x = PyLong_AsDouble(idx.ptr()); + if (x == -1.0 && PyErr_Occurred() != nullptr) { + if (PyErr_ExceptionMatches(PyExc_OverflowError) == 0) throw error_already_set(); + PyErr_Clear(); + const int sign = PyObject_RichCompareBool(idx.ptr(), int_(0).ptr(), Py_GT); + if (sign < 0) throw error_already_set(); + value.value = sign == 1 ? std::numeric_limits::infinity() : -std::numeric_limits::infinity(); + return true; + } + value.value = x; + return true; + } + + static handle cast(netgraph::core::bindings::StrictFloat f, return_value_policy policy, handle parent) { + return type_caster::cast(f.value, policy, parent); + } +}; + +} // namespace pybind11::detail diff --git a/bindings/python/units.cpp b/bindings/python/units.cpp index a572479..9f2dc63 100644 --- a/bindings/python/units.cpp +++ b/bindings/python/units.cpp @@ -5,10 +5,13 @@ #include #include +#include #include +#include #include "netgraph/core/graph.hpp" #include "integers.hpp" +#include "strict_float.hpp" #include "values.hpp" #include "registration.hpp" @@ -18,18 +21,195 @@ namespace netgraph::core::bindings { namespace { -// Physical numbers as a float64 array (or a 0-d array for a scalar); bools and strings rejected. -py::array_t physical_array(const py::handle& x) { - if (is_bool(x) || py::isinstance(x) || py::isinstance(x)) { - throw py::value_error("to_units takes physical numbers (a float or an array of floats)"); +constexpr const char* kNotPhysical = "to_units takes physical numbers (a float or an array of floats)"; +constexpr const char* kNotOneDimensional = "to_units takes a float or a 1-D array of floats"; + +std::string dtype_text(const py::array& a) { + return "to_units takes physical numbers (got dtype " + std::string(py::str(a.dtype())) + ")"; +} + +enum class Kind { Number, Wide, Bool, Other }; + +// An int's value as NumPy reads it, read from the int itself (a subclass's own methods are never +// called): through int64 or uint64, rounded to the nearest double (Number); beyond 64 bits NumPy +// holds it as an object (Wide: a value outside the domain). +Kind int_value(PyObject* o, double& value) { + int overflow = 0; + const long long v = PyLong_AsLongLongAndOverflow(o, &overflow); + if (v == -1 && PyErr_Occurred() != nullptr) throw py::error_already_set(); + if (overflow == 0) { + value = static_cast(v); + return Kind::Number; + } + if (overflow > 0) { + const unsigned long long u = PyLong_AsUnsignedLongLong(o); + if (u != static_cast(-1) || PyErr_Occurred() == nullptr) { + value = static_cast(u); + return Kind::Number; + } + if (PyErr_ExceptionMatches(PyExc_OverflowError) == 0) throw py::error_already_set(); + PyErr_Clear(); + } + return Kind::Wide; +} + +// One scalar under the rule, in this order: a bool (Python's or numpy.bool_) is Bool; an int or a +// float, a subclass included, is a Number (Wide beyond 64 bits) read by its stored value (PyLong_* +// and PyFloat_AS_DOUBLE read the object itself, never its __int__, __float__ or sequence methods); +// a NumPy integer or floating scalar is a Number; anything else is Other. Every type is the +// object's real one (never its __class__). +Kind scalar_kind(const py::handle& x, double& value) { + PyObject* o = x.ptr(); + if (is_bool(x)) return Kind::Bool; + if (PyLong_Check(o) != 0) return int_value(o, value); + if (PyFloat_Check(o) != 0) { + value = PyFloat_AS_DOUBLE(o); + return Kind::Number; + } + const auto& [np_integer, np_floating] = numpy_number_types(); + if (has_type(o, np_integer)) { + const auto exact = checked(PyNumber_Index(o)); + return int_value(exact.ptr(), value); + } + if (has_type(o, np_floating)) { + value = PyFloat_AsDouble(o); + if (value == -1.0 && PyErr_Occurred() != nullptr) throw py::error_already_set(); + return Kind::Number; + } + return Kind::Other; +} + +// Whether NumPy reads `o` without running code of the caller's: a str, bytes, bool, None, an exact +// int or float, an exact NumPy scalar or array (its type named "numpy.*"), or a list or tuple of +// those (nested at most 32 deep). +bool read_by_numpy_alone(PyObject* o, int depth = 0) { + if (PyUnicode_CheckExact(o) || PyBytes_CheckExact(o) || PyBool_Check(o) || o == Py_None || PyLong_CheckExact(o) || + PyFloat_CheckExact(o)) { + return true; } - auto np = py::module_::import("numpy"); - py::array raw = np.attr("asarray")(x); + if (std::string_view(Py_TYPE(o)->tp_name).starts_with("numpy.")) return true; + if (depth >= 32 || (PyList_CheckExact(o) == 0 && PyTuple_CheckExact(o) == 0)) return false; + const Py_ssize_t n = PySequence_Fast_GET_SIZE(o); + PyObject** items = PySequence_Fast_ITEMS(o); + for (Py_ssize_t i = 0; i < n; ++i) { + if (!read_by_numpy_alone(items[i], depth + 1)) return false; + } + return true; +} + +// The refusal of an input that holds something other than numbers, always a TypeError, worded as +// NumPy reads it (the texts these inputs always had): a non-numeric dtype names it; a numeric +// reading of more than one dimension is the shape text; any other numeric reading the scalar text. +// An input NumPy would read through the caller's code (an object's own __array__, a subclass) is +// not given to NumPy: it holds an object, NumPy's `got dtype object`. +[[noreturn]] void refuse_physical(const py::handle& x) { + if (!read_by_numpy_alone(x.ptr())) throw py::type_error("to_units takes physical numbers (got dtype object)"); + const auto np = py::module_::import("numpy"); + const auto raw = py::reinterpret_steal(checked(PyObject_CallOneArg(np.attr("asarray").ptr(), x.ptr())).release()); const char kind = raw.dtype().kind(); - if (kind != 'f' && kind != 'i' && kind != 'u') { - throw py::value_error("to_units takes physical numbers (got dtype " + std::string(py::str(raw.dtype())) + ")"); + if (kind != 'f' && kind != 'i' && kind != 'u') throw py::type_error(dtype_text(raw)); + if (raw.ndim() > 1) throw py::type_error(kNotOneDimensional); + throw py::type_error(kNotPhysical); +} + +// to_units' x as doubles: one scalar, or the entries of a 1-D input. +struct PhysicalValues { + bool scalar {false}; + std::vector values; +}; + +// The one classifier of to_units' x, in this order: +// 1. a bool, a str or a bytes: TypeError (the scalar text); +// 2. an int or a float, a subclass included, by its stored value; a NumPy integer or floating +// scalar (scalar_kind): one number (an int beyond 64 bits: ValueError); +// 3. a NumPy array: an integer or floating dtype (else TypeError, the dtype text), of rank 0 (one +// number) or 1 (its entries; another rank TypeError, the shape text); +// 4. a Python sequence (a memoryview of rank 1; a str or bytes never reaches here), each entry +// through scalar_kind: any entry of another type refuses it as NumPy words it; then NumPy's +// dtype: bools alone TypeError with `got dtype bool`, an int beyond 64 bits `got dtype +// object` (ValueError among numbers alone, TypeError beside a bool); then bools among +// numbers TypeError (the scalar text: NumPy would read them as numbers); numbers alone are +// its values; +// 5. anything else: TypeError, as NumPy words it (refuse_physical). +// An int beyond 64 bits among numbers is a value outside the domain (ValueError, NumPy's `got dtype +// object`), decided after every entry is classified. No Python object is made but the checked +// copies of NumPy integers, NumPy's array of a given array and the refusal's reading. +PhysicalValues physical_values(const py::handle& x) { + PhysicalValues out; + if (py::isinstance(x) || py::isinstance(x)) throw py::type_error(kNotPhysical); + constexpr const char* wide = "to_units takes physical numbers (got dtype object)"; + double value = 0.0; + switch (scalar_kind(x, value)) { + case Kind::Bool: + throw py::type_error(kNotPhysical); + case Kind::Wide: + throw py::value_error(wide); + case Kind::Number: + out.scalar = true; + out.values.push_back(value); + return out; + case Kind::Other: + break; + } + if (py::isinstance(x)) { + const auto given = py::reinterpret_borrow(x); + const char kind = given.dtype().kind(); + if (kind != 'f' && kind != 'i' && kind != 'u') throw py::type_error(dtype_text(given)); + if (given.ndim() > 1) throw py::type_error(kNotOneDimensional); + const py::array_t doubles(given); + out.scalar = given.ndim() == 0; + out.values.assign(doubles.data(), doubles.data() + doubles.size()); + return out; + } + if (PySequence_Check(x.ptr()) == 0) refuse_physical(x); + if (PyMemoryView_Check(x.ptr()) != 0 && PyMemoryView_GET_BUFFER(x.ptr())->ndim != 1) { + if (PyMemoryView_GET_BUFFER(x.ptr())->ndim > 1) throw py::type_error(kNotOneDimensional); + refuse_physical(x); + } + // A list or a tuple is read in place; any other sequence by index, as NumPy reads it (its + // own __len__ and __getitem__; no iterator, whose machinery may absorb a failure). + const bool in_place = PyList_Check(x.ptr()) != 0 || PyTuple_Check(x.ptr()) != 0; + const Py_ssize_t size = PySequence_Size(x.ptr()); + if (size < 0) throw py::error_already_set(); + const auto n = static_cast(size); + const auto entry = [&](std::size_t i) { + if (in_place) return py::reinterpret_borrow(PySequence_Fast_ITEMS(x.ptr())[i]); + return checked(PySequence_GetItem(x.ptr(), static_cast(i))); + }; + // A refusal is worded on the entries as a list: the sequence itself, or a checked copy. + const auto refuse = [&]() { + if (in_place) refuse_physical(x); + const py::object copy = checked(PyList_New(size)); + for (std::size_t i = 0; i < n; ++i) PyList_SET_ITEM(copy.ptr(), static_cast(i), entry(i).release().ptr()); + refuse_physical(copy); + }; + out.values.reserve(n); + std::size_t bools = 0; + std::size_t wides = 0; + for (std::size_t i = 0; i < n; ++i) { + switch (scalar_kind(entry(i), value)) { + case Kind::Number: + out.values.push_back(value); + break; + case Kind::Wide: + ++wides; + break; + case Kind::Bool: + ++bools; + break; + case Kind::Other: + refuse(); + } + } + // NumPy's order: its dtype first (bools alone: bool; an int beyond 64 bits: object, a value + // error only among numbers alone), then a bool among numbers. + if (bools == n && n > 0) throw py::type_error("to_units takes physical numbers (got dtype bool)"); + if (wides > 0) { + if (bools > 0) throw py::type_error(wide); + throw py::value_error(wide); } - return py::array_t::ensure(raw); + if (bools > 0) throw py::type_error(kNotPhysical); + return out; } // x * 2^k for an unbounded Python int, correctly rounded: Python's int shift and int true @@ -66,25 +246,28 @@ double amount_as_float(const py::handle& item, int k, double resolution) { void register_units(py::module_& m) { m.def( "to_units", - [](const py::object& x, double resolution) -> py::object { + [](const py::object& x, StrictFloat resolution) -> py::object { (void)resolution_exponent(resolution); // before the shape: an empty array is no exemption - auto arr = physical_array(x); - if (arr.ndim() == 0) return py::int_(to_units(*arr.data(), resolution)); - if (arr.ndim() != 1) throw py::value_error("to_units takes a float or a 1-D array of floats"); - py::array_t out(arr.size()); - auto in = arr.unchecked<1>(); + const PhysicalValues v = physical_values(x); + if (v.scalar) return int_object(to_units(v.values[0], resolution)); + py::array_t out(static_cast(v.values.size())); auto o = out.mutable_unchecked<1>(); - for (py::ssize_t i = 0; i < in.shape(0); ++i) o(i) = to_units(in(i), resolution); + for (std::size_t i = 0; i < v.values.size(); ++i) o(static_cast(i)) = to_units(v.values[i], resolution); return std::move(out); }, py::arg("x"), py::arg("resolution"), "Physical value(s) to units of the resolution q, rounding half up: an int for a scalar, an\n" - "int64 array for an array. NaN, infinity, negative values and results at or above 2^62\n" - "units raise ValueError; q must be a power of two in [2^-32, 2^32]."); + "int64 array for an array. NaN, infinity, negative values, an integer too large for NumPy and\n" + "results at or above 2^62 units raise ValueError; a bool (also as an entry), a string or an array\n" + "of another dtype or rank, or any type but int, float and the NumPy numbers (a Decimal, a\n" + "Fraction, an object known by __float__, __index__ or __array__) TypeError; an int or float\n" + "subclass is read by its value. q must be a power of two in [2^-32, 2^32]: a float, a NumPy\n" + "float or an integer (any other type is a TypeError; an integer beyond the float range a\n" + "ValueError)."); m.def( "as_float", - [](const py::object& x, double resolution) -> py::object { + [](const py::object& x, StrictFloat resolution) -> py::object { const int k = resolution_exponent(resolution); // the resolution before the shape // A sequence, a NumPy array of any rank included: wide_integers refuses a rank other than 1. if (!is_invalid_sequence(x)) { @@ -102,7 +285,9 @@ void register_units(py::module_& m) { py::arg("x"), py::arg("resolution"), "Units to physical value(s): x * q, correctly rounded (exact below 2^53 units). An int, of\n" "any size, gives a float, an integer array a float64 array; a result beyond the finite\n" - "doubles raises ValueError; q must be a power of two in [2^-32, 2^32]."); + "doubles raises ValueError. x is an integer position (any object with __index__, never a bool;\n" + "anything else is a TypeError); q must be a power of two in [2^-32, 2^32] (a float, a NumPy float\n" + "or an integer)."); } } // namespace netgraph::core::bindings diff --git a/bindings/python/values.hpp b/bindings/python/values.hpp index 0113996..51f8718 100644 --- a/bindings/python/values.hpp +++ b/bindings/python/values.hpp @@ -198,9 +198,9 @@ inline py::array_t int64_array(const std::vector& v) } inline FlowId flow_id_of(const py::object& obj) { - if (!py::isinstance(obj) || py::len(obj) != 2) { - throw py::value_error("a FlowId is a tuple (ledger uid, id)"); - } + // Not a tuple is a wrong type, a tuple of another length a wrong value: one text. + if (!py::isinstance(obj)) throw py::type_error("a FlowId is a tuple (ledger uid, id)"); + if (py::len(obj) != 2) throw py::value_error("a FlowId is a tuple (ledger uid, id)"); auto t = py::reinterpret_borrow(obj); py::object uid = python_int(t[0], "FlowId ledger uid"); py::object id = python_int(t[1], "FlowId id"); @@ -222,16 +222,18 @@ inline FlowId flow_id_of(const py::object& obj) { // An amount argument: an integer number of units in [0, 2^62) or +inf (float('inf')); nullopt is -// +inf. Any other value (a bool, another float, a non-integer, an integer out of range) raises the -// one ValueError `text`; an exception of the object's own __index__ propagates as raised. +// +inf. Every other argument raises the one `text`, with the class of its cause: a type the position +// never takes (a bool, a string, None, another non-number) TypeError; a float other than +inf (NaN, +// -inf, a finite one) or an integer out of range ValueError. An exception of the object's own +// __index__ propagates as raised. inline std::optional units_or_inf(const py::object& value, const char* text) { - if (py::isinstance(value) || py::isinstance(value, py::module_::import("numpy").attr("floating"))) { + if (PyFloat_Check(value.ptr()) || has_type(value.ptr(), numpy_number_types().second)) { const double x = PyFloat_AsDouble(value.ptr()); if (x == -1.0 && PyErr_Occurred() != nullptr) throw py::error_already_set(); if (std::isinf(x) && x > 0) return std::nullopt; throw py::value_error(text); } - if (is_bool(value) || !PyIndex_Check(value.ptr())) throw py::value_error(text); + if (is_bool(value) || !PyIndex_Check(value.ptr())) throw py::type_error(text); const py::object idx = py::reinterpret_steal(PyNumber_Index(value.ptr())); if (!idx) throw py::error_already_set(); int overflow = 0; diff --git a/dev/pytest_guard.py b/dev/pytest_guard.py index c28aa89..090d30d 100644 --- a/dev/pytest_guard.py +++ b/dev/pytest_guard.py @@ -49,6 +49,10 @@ "tests/py/test_getter_allocation.py::test_every_number_read_raises_memory_error", "tests/py/test_getter_allocation.py::test_a_failed_integer_read_raises_memory_error", "tests/py/test_ksp.py::test_python_result_lists_are_all_or_nothing", + ( + "tests/py/test_number_types.py::test_the_converter_raises_memory_error_on_every_python_allocation_failure" + ), + "tests/py/test_number_types.py::test_a_cold_conversion_raises_memory_error", "tests/py/test_native_allocation.py::test_allocation_hooks_preserve_exception_identity", ( "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[Eligibility.intersect]" @@ -119,6 +123,9 @@ ( "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[resolve_to_paths]" ), + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[to_units.list]" + ), ( "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[sensitivity.global]" ), diff --git a/docs/semantics.md b/docs/semantics.md index 3abc8d2..28b9064 100644 --- a/docs/semantics.md +++ b/docs/semantics.md @@ -217,9 +217,10 @@ values in input order (explicit weights, a residual, exclusions) maps them throu edge_costs, resolution)` builds an immutable directed multigraph: parallel edges and self-loops are allowed. The arrays are in input order (the caller's). Capacities are already in units; use `to_units` for physical values. -- **Validation order.** When an input has several defects, the first in this order is reported as a - `ValueError`: the resolution; the capacity values (each an integer in `[0, 2^62)`; floats and - booleans are rejected, not rounded); the array shapes; a zero or negative cost; the remaining +- **Validation order.** When an input has several defects, the first in this order is reported (a + wrong type as a `TypeError`, a value outside its domain as a `ValueError`): the resolution (a + bool is a `TypeError`); the capacity values (each an integer in `[0, 2^62)`; floats and booleans + are rejected with `TypeError`, not rounded); the array shapes; a zero or negative cost; the remaining bounds (node ids in range, then the capacity and cost sums below `2^62`, both added up edge by edge in input order: the first edge at which a running sum reaches `2^62` reports that sum, the capacity sum before the cost sum at the same edge). Integers are read @@ -2008,17 +2009,37 @@ threads; ledgers, policies and building caches have one writer at a time. `RouteDefinition`) and the search options (`SpfOptions`, `KspOptions`) have read-only fields: no option object changes after it is built. A policy validates its configuration once and keeps that snapshot (`policy.config`); an evaluator validates and copies its options at call entry. -- **Exception classes.** `ValueError` for a value outside its domain, an invalid combination, a - foreign object (a value of another graph, ledger or policy) or a call in the wrong state; +- **Exception classes.** One rule for the class of an input error, at every public entry + (constructors, search options, call arguments, evaluator options): a Python type the position + never takes is a `TypeError` (a bool, Python's or `numpy.bool_`, at any numeric position; a float + where only an integer is taken, `k=1.0` and `k=float('inf')` included; a string; `None` where none + is allowed; an object of another class; for a vector a non-sequence, a string, a nested entry, a + NumPy array of another rank or of a non-integer dtype, or an entry of a wrong type); an accepted + type whose value is outside its domain is a `ValueError` (out of range, beyond 64 bits, a wrong + length, NaN, `-inf`, a finite float where floats are taken only for `+inf`: an offer, a design + demand). The text is the same either way, and a text that covers both causes (`offer must be an + integer in [0, 2^62) or permitted +inf`, `a FlowId is a tuple (ledger uid, id)`, `each pair must + be (sources, destinations)`) takes the class of its cause. A NumPy integer is an integer, a NumPy + floating value a float; an int at or above `2^63` is an integer (a `ValueError` where its range is + bounded); a `fractions.Fraction` is taken only by `CostStretch`. `ValueError` also for an invalid + combination, a foreign object (a value of another graph, ledger or policy) or a call in the wrong + state; `TypeError` for a field or option that does not exist (for example `ShortestPaths(tunnel_count=ngc.TunnelCount(2))`), a missing required argument, `None` where none is allowed, an argument of the wrong type (a bool field given anything but a `bool` or `numpy.bool_`; an integer field or `edge_weights` of a configuration value given a non-integer), or an argument - that cannot be converted to its parameter's type: an integer beyond the float range where a - float is expected (the `resolution` of `Graph`, `to_units` and `as_float`) is a `TypeError`. - The call arguments that convert their own values (the offer of `place`, node ids, a search - option's integers) raise `ValueError` for a value of the wrong type, and every converted value - passes on unchanged any exception raised by the value's own conversion (its `__float__` or + that cannot be converted to its parameter's type. The non-integer number positions (a + `resolution` of `Graph`, `to_units` and `as_float`; `to_units`' values) take exactly an `int` + (not a bool), a `float`, a NumPy integer or a NumPy floating scalar, an `int` or `float` subclass + by its value (never through its own `__int__`, `__float__` or `__array__`), and for `to_units` + an array of an integer or floating dtype or a sequence of those scalars: a `Decimal`, a + `Fraction`, an object known by `__float__`, `__index__` or `__array__`, and a 0-d array as a + resolution are a `TypeError`. Every integer position, `as_float`'s amounts included, takes any + object with `__index__` (never a bool), read exactly. An integer beyond the float range + as a resolution is a value outside its domain (`ValueError: resolution must be a power of two in + [2^-32, 2^32]`); `to_units` refuses a bool entry beside numbers (`TypeError`, which NumPy would + read as a number; an all-bool sequence keeps its dtype text), and an integer too large for NumPy + beside numbers is a value (`ValueError`). Every converted value passes on unchanged any exception raised by the value's own conversion (its `__float__` or `__index__`), whatever its class. `ShortestPathCacheMiss` for a miss in a frozen cache (its own class, neither a `ValueError` nor a `RuntimeError`); `MemoryError` for an allocation failure (everything rolled back); `RuntimeError` for an internal invariant failure. diff --git a/python/netgraph_core/__init__.pyi b/python/netgraph_core/__init__.pyi index ccbef90..2edbfc1 100644 --- a/python/netgraph_core/__init__.pyi +++ b/python/netgraph_core/__init__.pyi @@ -413,11 +413,13 @@ class Graph: resolution: typing.SupportsFloat | typing.SupportsIndex, ) -> None: """ - Validates, in order, and reports the first defect as ValueError: the resolution (a power of - two in [2^-32, 2^32]), the unit values (every capacity in [0, 2^62)), the array shapes, - zero or negative costs, the remaining bounds (endpoints in range, then the - capacity and cost sums below 2^62). Integers are read without narrowing, so the error - does not depend on how the input is represented. + Validates, in order, and reports the first defect: the resolution (a power of two in + [2^-32, 2^32]; a bool is a TypeError), the unit values (every capacity in [0, 2^62)), the array + shapes, zero or negative costs, the remaining bounds (endpoints in range, then the capacity + and cost sums below 2^62); a value of a wrong type (a bool or a float for an integer, a + non-sequence, an array of another rank or dtype) raises TypeError, a value outside its domain + ValueError. Integers are read without narrowing, so the error does not depend on how the + input is represented. """ def edge_capacity_units(self) -> numpy.typing.NDArray[numpy.int64]: @@ -735,7 +737,8 @@ class FlowLedger: """ service_baseline and reservation_baseline: the baselines as integer units, one entry per edge in [0, the edge's capacity] (a physical baseline goes through to_units first; service_baseline - checked first); None: the capacities. ValueError otherwise. + checked first); None: the capacities. A wrong type (not a 1-D sequence of integers, a non-integer + entry) raises TypeError, a wrong length or an entry outside its range ValueError. """ def carried(self) -> numpy.typing.NDArray[numpy.int64]: @@ -2018,10 +2021,10 @@ class FlowPolicy: replace and forward start one too. A policy dropped without remove() leaves its records in the ledger as orphans: readable, never changed again, cleared by FlowLedger.reset(). sources and destinations are one NodeId or a sequence; the two sets must not - overlap. ValueError for invalid endpoints, configurations and requests (non-integer node ids and - requests included) and for objects of another graph, ledger or policy; TypeError for a ledger, - config, eligibility, cache or outputs of the wrong class (a ledger of None: ValueError) and for an - unknown keyword. + overlap. ValueError for invalid endpoints, configurations and requests and for objects of another + graph, ledger or policy; TypeError for a ledger (None included), config, eligibility, cache or + outputs of the wrong class, a node id or a request of a wrong type (a bool, a float node id, a + string) and an unknown keyword. """ def __init__( @@ -2465,7 +2468,9 @@ def as_float( """ Units to physical value(s): x * q, correctly rounded (exact below 2^53 units). An int, of any size, gives a float, an integer array a float64 array; a result beyond the finite - doubles raises ValueError; q must be a power of two in [2^-32, 2^32]. + doubles raises ValueError. x is an integer position (any object with __index__, never a bool; + anything else is a TypeError); q must be a power of two in [2^-32, 2^32] (a float, a NumPy float + or an integer). """ @typing.overload @@ -2625,8 +2630,13 @@ def to_units( ) -> int: """ Physical value(s) to units of the resolution q, rounding half up: an int for a scalar, an - int64 array for an array. NaN, infinity, negative values and results at or above 2^62 - units raise ValueError; q must be a power of two in [2^-32, 2^32]. + int64 array for an array. NaN, infinity, negative values, an integer too large for NumPy and + results at or above 2^62 units raise ValueError; a bool (also as an entry), a string or an array + of another dtype or rank, or any type but int, float and the NumPy numbers (a Decimal, a + Fraction, an object known by __float__, __index__ or __array__) TypeError; an int or float + subclass is read by its value. q must be a power of two in [2^-32, 2^32]: a float, a NumPy + float or an integer (any other type is a TypeError; an integer beyond the float range a + ValueError). """ @typing.overload diff --git a/tests/py/removed_names_reviewed.txt b/tests/py/removed_names_reviewed.txt index a6be295..89bbb8f 100644 --- a/tests/py/removed_names_reviewed.txt +++ b/tests/py/removed_names_reviewed.txt @@ -20,7 +20,7 @@ ForwardingProgram.from_dag | allocated | allocated equally and pooled at every s ForwardingProgram.source_weights | weights | the captured source weights ((source, weight), ascending), o | the captured source weights of a program's injection Graph | cost | Costs are positive integers; capacities are int64 units of t | an edge's or a path's cost (Path.cost is the current name) Graph | cost | given in input order and numbered by sorting on (source, cos | an edge's or a path's cost (Path.cost is the current name) -Graph.__init__ | cost | capacity and cost sums below 2^62). Integers are read withou | an edge's or a path's cost (Path.cost is the current name) +Graph.__init__ | cost | and cost sums below 2^62); a value of a wrong type (a bool or | an edge's or a path's cost (Path.cost is the current name) Graph.__init__ | cost | zero or negative costs, the remaining bounds (endpoints in r | an edge's or a path's cost (Path.cost is the current name) Graph.edge_cost_gcd | cost | gcd of the edge costs (0 without edges) | an edge's or a path's cost (Path.cost is the current name) Graph.edge_costs | cost | int64[E] costs, id order (read-only view) | an edge's or a path's cost (Path.cost is the current name) @@ -138,7 +138,7 @@ docs/semantics.md | bundle | possibly many equal-cost walks) or a `Path` (one ex docs/semantics.md | cost | - **EdgeId.** The EdgeId of an edge is its rank in the stabl | an edge's or a path's cost (Path.cost is the current name) docs/semantics.md | cost | `(cost, source, input)` order. Both offset arrays have `N + | an edge's or a path's cost (Path.cost is the current name) docs/semantics.md | cost | `outgoing_offsets()[u]` to `outgoing_offsets()[u + 1] - 1`, | an edge's or a path's cost (Path.cost is the current name) -docs/semantics.md | cost | booleans are rejected, not rounded); the array shapes; a zer | an edge's or a path's cost (Path.cost is the current name) +docs/semantics.md | cost | are rejected with `TypeError`, not rounded); the array shapes | an edge's or a path's cost (Path.cost is the current name) docs/semantics.md | cost | bounds (node ids in range, then the capacity and cost sums b | an edge's or a path's cost (Path.cost is the current name) docs/semantics.md | cost | capacity sum before the cost sum at the same edge). Integers | an edge's or a path's cost (Path.cost is the current name) docs/semantics.md | cost | public number, its EdgeId, by sorting the edges by source, c | an edge's or a path's cost (Path.cost is the current name) diff --git a/tests/py/test_centralized_te_tunnels.py b/tests/py/test_centralized_te_tunnels.py index a8b25c9..4c28129 100644 --- a/tests/py/test_centralized_te_tunnels.py +++ b/tests/py/test_centralized_te_tunnels.py @@ -1666,7 +1666,9 @@ def snapshot(): return getattr(p, method), (8192,), snapshot - assert sweep_python_allocation(make) >= 3 + assert ( + sweep_python_allocation(make) >= 1 + ) # the result object at least (its fields convert when read) GETTER_SWEEP = """ diff --git a/tests/py/test_contract_examples.py b/tests/py/test_contract_examples.py index 6c2c5c3..4d3f6db 100644 --- a/tests/py/test_contract_examples.py +++ b/tests/py/test_contract_examples.py @@ -16,6 +16,7 @@ import copy import itertools import math +from decimal import Decimal from fractions import Fraction import numpy as np @@ -1345,6 +1346,141 @@ def run_input_texts(cases): return out +class IndexOnly: + """An integer known only through __index__.""" + + def __init__(self, n): + self.n = n + + def __index__(self): + return self.n + + +class FloatOnly: + """A number known only through __float__.""" + + def __init__(self, x): + self.x = x + + def __float__(self): + return float(self.x) + + +def input_value(spec): + """An example's argument: itself, or ["bool", b], ["float", x] ("inf", "-inf" and "nan" as + text), ["str", s], ["none"], ["fraction", n, d], ["decimal", s], ["floatonly", x] (FloatOnly), + ["index", n] (IndexOnly), ["pow2", n] (the int 2**n), ["numpy", type name, value], ["list", + spec, ...] or ["array", dtype, nested list].""" + if not isinstance(spec, list): + return spec + kind, rest = spec[0], spec[1:] + if kind == "list": + return [input_value(x) for x in rest] + if kind == "array": + return np.array(rest[1], dtype=rest[0]) + if kind == "numpy": + return getattr(np, rest[0])(rest[1]) + return { + "bool": lambda: bool(rest[0]), + "float": lambda: float(rest[0]), + "str": lambda: rest[0], + "none": lambda: None, + "fraction": lambda: Fraction(rest[0], rest[1]), + "decimal": lambda: Decimal(rest[0]), + "floatonly": lambda: FloatOnly(rest[0]), + "index": lambda: IndexOnly(rest[0]), + "pow2": lambda: 2 ** rest[0], + }[kind]() + + +def input_class(call, *args): + """ "valid", or the input error of call(*args) as ": " (TypeError or ValueError + exactly).""" + try: + call(*args) + except (TypeError, ValueError) as e: + assert type(e) in (TypeError, ValueError), type(e) + return f"{type(e).__name__}: {e}" + return "valid" + + +def run_input_classes(cases): + """Each value at its position: an spf or ksp search option (read at the call), place's offer + (on a fresh policy), a ledger's service baseline over links of capacities `caps`.""" + g = ngc.Graph(2, [0], [1], [10], [1], 1.0) + forward = ngc.Direction.FORWARD + + def baseline(v, caps): + k = len(caps) + return ngc.FlowLedger(ngc.Graph(2, [0] * k, [1] * k, caps, [1] * k, 1.0), v) + + calls = { + "spf min_residual": lambda v, _: ngc.spf( + g, 0, ngc.SpfOptions(forward, min_residual=v) + ), + "ksp k": lambda v, _: ngc.ksp(g, 0, 1, ngc.KspOptions(v)), + "place offer": lambda v, _: policy(g, 0, 1, config(ngc.ShortestPaths())).place( + v + ), + "service_baseline": baseline, + } + out = [] + for case in cases: + call, caps = calls[case["entry"]], case.get("caps") + out.append([input_class(call, input_value(v), caps) for v in case["values"]]) + return out + + +def number_outcome(call, report=False): + """ "valid" ("valid " when reported), or the error as ": ", pybind11's + refusal of an argument's type as "TypeError: pybind11 conversion".""" + try: + got = call() + except (TypeError, ValueError) as e: + assert type(e) in (TypeError, ValueError), type(e) + if type(e) is TypeError and "incompatible" in str(e): + return "TypeError: pybind11 conversion" + return f"{type(e).__name__}: {e}" + if not report: + return "valid" + return f"valid {got.tolist() if isinstance(got, np.ndarray) else got}" + + +def run_number_types(cases): + """Each value at its position: a resolution (Graph, to_units and as_float, which must agree), + to_units' physical value at the case's resolution (reported: the units), as_float's integer + amount, or place's offer (on a fresh policy).""" + g = ngc.Graph(2, [0], [1], [10], [1], 1.0) + + def resolution(q): + outcomes = { + number_outcome(lambda: ngc.Graph(2, [0], [1], [1], [1], q)), + number_outcome(lambda: ngc.to_units(1.0, q)), + number_outcome(lambda: ngc.as_float(1, q)), + } + assert len(outcomes) == 1, outcomes + return outcomes.pop() + + out = [] + for case in cases: + entry = case["entry"] + row = [] + for spec in case["values"]: + v = input_value(spec) + if entry == "resolution": + row.append(resolution(v)) + elif entry == "to_units": + q = input_value(case.get("resolution", 1.0)) + row.append(number_outcome(lambda v=v, q=q: ngc.to_units(v, q), True)) + elif entry == "as_float x": + row.append(number_outcome(lambda v=v: ngc.as_float(v, 1.0))) + else: + p = policy(g, 0, 1, config(ngc.ShortestPaths())) + row.append(number_outcome(lambda v=v, p=p: p.place(v))) + out.append(row) + return out + + ADAPTERS = { "ha": run_ha, "split_error": run_split_error, @@ -1380,6 +1516,8 @@ def run_input_texts(cases): "evaluation_validation": run_evaluation_validation, "ownership_texts": run_ownership_texts, "input_texts": run_input_texts, + "input_classes": run_input_classes, + "number_types": run_number_types, } @@ -4614,6 +4752,484 @@ def run_input_texts(cases): [None, None], ], }, + { + "id": "ERR-class-search", + "oracle": "input_classes", + "input": { + "cases": [ + { + "entry": "spf min_residual", + "values": [ + ["bool", 1], + ["float", 1.0], + ["str", "1"], + ["none"], + ["float", "inf"], + 0, + -3, + 1, + ], + }, + { + "entry": "ksp k", + "values": [ + ["bool", 1], + ["float", "inf"], + ["str", "2"], + 0, + -5, + 1180591620717411303424, + 3, + ], + }, + ] + }, + "expected": [ + [ + "TypeError: min_residual must be an integer (got bool)", + "TypeError: min_residual must be an integer (got float)", + "TypeError: min_residual must be an integer (got str)", + "TypeError: min_residual must be an integer (got NoneType)", + "TypeError: min_residual must be an integer (got float)", + "ValueError: min_residual must be at least 1 unit (got 0)", + "ValueError: min_residual must be at least 1 unit (got -3)", + "valid", + ], + [ + "TypeError: k must be an integer (got bool)", + "TypeError: k must be an integer (got float)", + "TypeError: k must be an integer (got str)", + "ValueError: k must be >= 1 (got 0)", + "ValueError: k must be >= 1 (got -5)", + "valid", + "valid", + ], + ], + }, + { + "id": "ERR-class-call", + "oracle": "input_classes", + "input": { + "cases": [ + { + "entry": "place offer", + "values": [ + ["bool", 1], + ["bool", 0], + ["str", "1"], + ["none"], + ["fraction", 1, 1], + ["float", 1.5], + ["float", 0.0], + ["float", "-inf"], + ["float", "nan"], + -1, + 4611686018427387904, + 9223372036854775808, + ["float", "inf"], + 0, + 4611686018427387903, + ], + } + ] + }, + "expected": [ + [ + "TypeError: offer must be an integer in [0, 2^62) or permitted +inf", + "TypeError: offer must be an integer in [0, 2^62) or permitted +inf", + "TypeError: offer must be an integer in [0, 2^62) or permitted +inf", + "TypeError: offer must be an integer in [0, 2^62) or permitted +inf", + "TypeError: offer must be an integer in [0, 2^62) or permitted +inf", + "ValueError: offer must be an integer in [0, 2^62) or permitted +inf", + "ValueError: offer must be an integer in [0, 2^62) or permitted +inf", + "ValueError: offer must be an integer in [0, 2^62) or permitted +inf", + "ValueError: offer must be an integer in [0, 2^62) or permitted +inf", + "ValueError: offer must be an integer in [0, 2^62) or permitted +inf", + "ValueError: offer must be an integer in [0, 2^62) or permitted +inf", + "ValueError: offer must be an integer in [0, 2^62) or permitted +inf", + "valid", + "valid", + "valid", + ] + ], + }, + { + "id": "ERR-class-vector", + "oracle": "input_classes", + "input": { + "cases": [ + { + "entry": "service_baseline", + "caps": [10, 10], + "values": [ + ["list", ["bool", 1], 0], + ["list", ["float", 1.0], 0], + ["list", 0, ["str", "0"]], + ["str", "ab"], + 5, + ["list", ["list", 0], 0], + ["list", 0], + ["list", ["bool", 1]], + ["list", 0, 11], + ["list", -1, 0], + ["list", 1180591620717411303424, 0], + ["list", 3, 10], + ], + } + ] + }, + "expected": [ + [ + "TypeError: service_baseline (units)[0] must be an integer (got bool)", + "TypeError: service_baseline (units)[0] must be an integer (got float)", + "TypeError: service_baseline (units)[1] must be an integer (got str)", + "TypeError: service_baseline must be a 1-D sequence of integers (got str)", + "TypeError: service_baseline must be a 1-D sequence of integers (got int)", + "TypeError: service_baseline must be a 1-D sequence of integers (entry 0 is a sequence)", + "ValueError: service_baseline has length 1, expected 2 (one entry per edge)", + "ValueError: service_baseline has length 1, expected 2 (one entry per edge)", + "ValueError: service_baseline[1] = 11 is outside [0, edge_capacity_units[1] = 10]", + "ValueError: service_baseline[0] = -1 is outside [0, edge_capacity_units[0] = 10]", + "ValueError: service_baseline[0] = 1180591620717411303424 is outside [0, edge_capacity_units[0] = 10]", + "valid", + ] + ], + }, + { + "id": "ERR-class-numpy", + "oracle": "input_classes", + "input": { + "cases": [ + { + "entry": "place offer", + "values": [ + ["numpy", "bool_", True], + ["numpy", "float64", 1.5], + ["numpy", "float32", "-inf"], + ["numpy", "float64", "inf"], + ["numpy", "int64", 2], + ["numpy", "uint64", 9223372036854775808], + ], + }, + { + "entry": "ksp k", + "values": [ + ["numpy", "int64", 1], + ["numpy", "float64", 1.0], + ["numpy", "bool_", True], + ], + }, + { + "entry": "service_baseline", + "caps": [10, 10], + "values": [ + ["array", "float64", [1, 1]], + ["array", "int64", [[1, 1]]], + ["array", "float64", [1]], + ["array", "int64", [1, 11]], + ["array", "uint8", [1, 10]], + ], + }, + { + "entry": "apply_actions", + "values": [ + {"ledger": "own", "offer": ["numpy", "bool_", True]}, + {"ledger": "own", "offer": ["numpy", "float32", 1.5]}, + {"ledger": "own", "offer": ["numpy", "int64", 5]}, + ], + }, + ] + }, + "expected": [ + [ + "TypeError: offer must be an integer in [0, 2^62) or permitted +inf", + "ValueError: offer must be an integer in [0, 2^62) or permitted +inf", + "ValueError: offer must be an integer in [0, 2^62) or permitted +inf", + "valid", + "valid", + "ValueError: offer must be an integer in [0, 2^62) or permitted +inf", + ], + [ + "valid", + "TypeError: k must be an integer (got float64)", + "TypeError: k must be an integer (got bool)", + ], + [ + "TypeError: service_baseline (units) entries must be integers (got dtype float64)", + "TypeError: service_baseline must be a 1-D array (got 2 dimensions)", + "ValueError: service_baseline has length 1, expected 2 (one entry per edge)", + "ValueError: service_baseline[1] = 11 is outside [0, edge_capacity_units[1] = 10]", + "valid", + ], + [ + "TypeError: offer must be an int or a float (got bool)", + "ValueError: offer must be an integer in [0, 2^62) or permitted +inf", + "valid", + ], + ], + }, + { + "id": "ERR-number-resolution", + "oracle": "number_types", + "input": { + "cases": [ + { + "entry": "resolution", + "values": [ + 1, + ["float", 0.5], + ["float", 2.3283064365386963e-10], + 4294967296, + ["decimal", "1"], + ["fraction", 1, 1], + ["floatonly", 1.0], + ["index", 1], + ["bool", 1], + ["str", "1"], + ["none"], + ["float", 0.75], + ["float", "nan"], + ["float", "inf"], + 8589934592, + ["pow2", 1024], + 0, + -1, + ], + } + ] + }, + "expected": [ + [ + "valid", + "valid", + "valid", + "valid", + "TypeError: pybind11 conversion", + "TypeError: pybind11 conversion", + "TypeError: pybind11 conversion", + "TypeError: pybind11 conversion", + "TypeError: pybind11 conversion", + "TypeError: pybind11 conversion", + "TypeError: pybind11 conversion", + "ValueError: resolution must be a power of two in [2^-32, 2^32]", + "ValueError: resolution must be a power of two in [2^-32, 2^32]", + "ValueError: resolution must be a power of two in [2^-32, 2^32]", + "ValueError: resolution must be a power of two in [2^-32, 2^32]", + "ValueError: resolution must be a power of two in [2^-32, 2^32]", + "ValueError: resolution must be a power of two in [2^-32, 2^32]", + "ValueError: resolution must be a power of two in [2^-32, 2^32]", + ] + ], + }, + { + "id": "ERR-number-list", + "oracle": "number_types", + "input": { + "cases": [ + { + "entry": "to_units", + "resolution": 1.0, + "values": [ + ["list", ["pow2", 64], 1.5], + ["list", ["decimal", "1"], 1.5], + ["list", ["fraction", 3, 2], 1], + ["list", ["floatonly", 1.0]], + ["list", ["index", 1], 2], + ["list", ["decimal", "1"], ["pow2", 64]], + ["list", -1.5, ["pow2", 64]], + ["list", ["bool", 1], 1.5], + ["list", ["bool", 1], ["bool", 0]], + ["list", ["list", 1, 2], ["list", 3, 4]], + ["list", ["pow2", 63], 1.5], + ["list", -1, ["pow2", 63]], + ["list", ["float", "nan"], 1], + ["list", 1, 2.5, 0.49], + ["list"], + ], + }, + { + "entry": "to_units", + "resolution": 0.5, + "values": [["list", 1, 2.25], ["list", ["decimal", "1"]]], + }, + { + "entry": "to_units", + "resolution": ["decimal", "1"], + "values": [["list", ["pow2", 64], 1.5], ["list", 1.0]], + }, + { + "entry": "to_units", + "resolution": 0.75, + "values": [["list", ["decimal", "1"]], ["list", ["pow2", 64], 1.5]], + }, + ] + }, + "expected": [ + [ + "ValueError: to_units takes physical numbers (got dtype object)", + "TypeError: to_units takes physical numbers (got dtype object)", + "TypeError: to_units takes physical numbers (got dtype object)", + "TypeError: to_units takes physical numbers (got dtype object)", + "TypeError: to_units takes physical numbers (got dtype object)", + "TypeError: to_units takes physical numbers (got dtype object)", + "ValueError: to_units takes physical numbers (got dtype object)", + "TypeError: to_units takes physical numbers (a float or an array of floats)", + "TypeError: to_units takes physical numbers (got dtype bool)", + "TypeError: to_units takes a float or a 1-D array of floats", + "ValueError: to_units: the amount is at or above the bound of the units domain (2^62 units)", + "ValueError: to_units: a negative amount has no unit value", + "ValueError: to_units: NaN has no unit value", + "valid [1, 3, 0]", + "valid []", + ], + [ + "valid [2, 5]", + "TypeError: to_units takes physical numbers (got dtype object)", + ], + ["TypeError: pybind11 conversion", "TypeError: pybind11 conversion"], + [ + "ValueError: resolution must be a power of two in [2^-32, 2^32]", + "ValueError: resolution must be a power of two in [2^-32, 2^32]", + ], + ], + }, + { + "id": "ERR-number-scalar", + "oracle": "number_types", + "input": { + "cases": [ + { + "entry": "to_units", + "resolution": 1.0, + "values": [ + ["decimal", "1"], + ["pow2", 64], + ["fraction", 1, 1], + ["floatonly", 1.0], + ["index", 1], + ["bool", 1], + ["str", "1"], + ["none"], + ["float", "-inf"], + 4611686018427387904, + 4611686018427387903, + 9007199254740993, + 2.5, + ["float", 0.5], + ], + }, + { + "entry": "place offer", + "values": [ + ["index", 3], + ["decimal", "1"], + ["floatonly", 1.0], + ["pow2", 64], + 3, + ], + }, + { + "entry": "as_float x", + "values": [ + ["index", 3], + ["decimal", "1"], + ["floatonly", 1.0], + ["float", 1.5], + ["pow2", 64], + ], + }, + ] + }, + "expected": [ + [ + "TypeError: to_units takes physical numbers (got dtype object)", + "ValueError: to_units takes physical numbers (got dtype object)", + "TypeError: to_units takes physical numbers (got dtype object)", + "TypeError: to_units takes physical numbers (got dtype object)", + "TypeError: to_units takes physical numbers (got dtype object)", + "TypeError: to_units takes physical numbers (a float or an array of floats)", + "TypeError: to_units takes physical numbers (a float or an array of floats)", + "TypeError: to_units takes physical numbers (got dtype object)", + "ValueError: to_units: an infinite amount is not finite and has no unit value", + "ValueError: to_units: the amount is at or above the bound of the units domain (2^62 units)", + "ValueError: to_units: the amount is at or above the bound of the units domain (2^62 units)", + "valid 9007199254740992", + "valid 3", + "valid 1", + ], + [ + "valid", + "TypeError: offer must be an integer in [0, 2^62) or permitted +inf", + "TypeError: offer must be an integer in [0, 2^62) or permitted +inf", + "ValueError: offer must be an integer in [0, 2^62) or permitted +inf", + "valid", + ], + [ + "valid", + "TypeError: as_float: x must be an integer (got Decimal)", + "TypeError: as_float: x must be an integer (got FloatOnly)", + "TypeError: as_float: x must be an integer (got float)", + "valid", + ], + ], + }, + { + "id": "ERR-number-numpy", + "oracle": "number_types", + "input": { + "cases": [ + { + "entry": "resolution", + "values": [ + ["numpy", "float32", 0.5], + ["numpy", "int64", 2], + ["numpy", "uint64", 1], + ["numpy", "bool_", True], + ["array", "float64", 1.0], + ["numpy", "float64", "nan"], + ["numpy", "float16", 0.75], + ], + }, + { + "entry": "to_units", + "resolution": 1.0, + "values": [ + ["array", "float32", [1.5, 2.5]], + ["array", "object", [1, 2]], + ["array", "bool", [True, False]], + ["list", ["numpy", "bool_", True], 1.5], + ["list", ["numpy", "bool_", True], ["numpy", "bool_", False]], + ["array", "int64", [[1, 2]]], + ["array", "float64", 2.5], + ["numpy", "float32", 2.5], + ["list", ["numpy", "uint64", 9223372036854775808], -1], + ], + }, + ] + }, + "expected": [ + [ + "valid", + "valid", + "valid", + "TypeError: pybind11 conversion", + "TypeError: pybind11 conversion", + "ValueError: resolution must be a power of two in [2^-32, 2^32]", + "ValueError: resolution must be a power of two in [2^-32, 2^32]", + ], + [ + "valid [2, 3]", + "TypeError: to_units takes physical numbers (got dtype object)", + "TypeError: to_units takes physical numbers (got dtype bool)", + "TypeError: to_units takes physical numbers (a float or an array of floats)", + "TypeError: to_units takes physical numbers (got dtype bool)", + "TypeError: to_units takes a float or a 1-D array of floats", + "valid 3", + "valid 3", + "ValueError: to_units: the amount is at or above the bound of the units domain (2^62 units)", + ], + ], + }, ] @@ -4721,13 +5337,31 @@ def check_outside_the_domain(example): assert mismatch(split_offer_on_unit_links(**case), want) is None, case +# Positions of an example that wait for an entry this library does not have yet (apply_actions, +# the list API): their cases and expected rows are left out of the comparison. ERR-class-list, all +# of whose cases are apply_actions, is not here. +WAITING_ENTRIES = {"apply_actions"} + + +def without_waiting(example): + cases = example["input"].get("cases") + if example["oracle"] != "input_classes" or cases is None: + return example + keep = [i for i, c in enumerate(cases) if c["entry"] not in WAITING_ENTRIES] + return { + **example, + "input": {"cases": [cases[i] for i in keep]}, + "expected": [example["expected"][i] for i in keep], + } + + def _param(example): return pytest.param(example, id=example["id"]) def test_every_example_once(): ids = [e["id"] for e in EXAMPLES] - assert len(ids) == len(set(ids)) == 156 + assert len(ids) == len(set(ids)) == 164 assert {e["oracle"] for e in EXAMPLES} <= set(ADAPTERS) @@ -4736,6 +5370,7 @@ def test_contract_example(example): if example["id"] in OUTSIDE_THE_DOMAIN: check_outside_the_domain(example) return + example = without_waiting(example) expected = example["expected"] left_out = NOT_REPORTED.get(example["id"], {}) if left_out: diff --git a/tests/py/test_distributed_te.py b/tests/py/test_distributed_te.py index bdaf044..03e6ebc 100644 --- a/tests/py/test_distributed_te.py +++ b/tests/py/test_distributed_te.py @@ -455,10 +455,14 @@ def test_operations_and_design_validation(): ): p.forward(5) dom = "design_demand must be an integer in [0, 2^62) or permitted +inf" - # 2**63 and -(2**64) overflow int64 in the binding: still the domain's error. - for bad in (-1, L62, 2**63, -(2**64), True, 1.5): - with pytest.raises(ValueError, match=exact(dom)): + # 2**63 and -(2**64) overflow int64 in the binding: still the domain's error. One text, with + # the class of its cause: a bool is a wrong type, the rest wrong values. + for bad, cls in [(v, ValueError) for v in (-1, L62, 2**63, -(2**64), 1.5)] + [ + (True, TypeError) + ]: + with pytest.raises((TypeError, ValueError), match=exact(dom)) as error: p.replace(5, design_demand=bad) + assert error.type is cls with pytest.raises( ValueError, match=exact("offer must be an integer in [0, 2^62) or permitted +inf"), @@ -1472,7 +1476,9 @@ def snapshot(): return getattr(p, method), (8,), snapshot - assert sweep_python_allocation(make) >= 3 + assert ( + sweep_python_allocation(make) >= 1 + ) # the result object at least (its fields convert when read) GETTER_SWEEP = """ diff --git a/tests/py/test_edge_amounts.py b/tests/py/test_edge_amounts.py index bc6a9be..674daae 100644 --- a/tests/py/test_edge_amounts.py +++ b/tests/py/test_edge_amounts.py @@ -57,55 +57,65 @@ def view(g, a, later): "view": ("view", "view (capacity units)", view), } -# (amounts, later defect, the message with {name} and {label}). +# (amounts, later defect, the class, the message with {name} and {label}). A shape (an array's +# rank, a nested entry, a non-sequence) or an entry of a wrong type is a TypeError, a length or a +# value outside its range a ValueError. +T, V = TypeError, ValueError CASES = [ # the length (the shape step) before any entry is read - ([1.5], False, "{name} has length 1, expected 2 (one entry per edge)"), - ([1, 1, 1], False, "{name} has length 3, expected 2 (one entry per edge)"), + ([1.5], False, V, "{name} has length 1, expected 2 (one entry per edge)"), + ([1, 1, 1], False, V, "{name} has length 3, expected 2 (one entry per edge)"), ( np.zeros((1, 2), dtype=np.int64), False, + T, "{name} must be a 1-D array (got 2 dimensions)", ), ( [5, [1]], False, + T, "{name} must be a 1-D sequence of integers (entry 1 is a sequence)", ), - ("ab", False, "{name} must be a 1-D sequence of integers (got str)"), + ("ab", False, T, "{name} must be a 1-D sequence of integers (got str)"), # the entries' types, all of them before any value - ([1, 2.5], False, "{label}[1] must be an integer (got float)"), - ([True, 0], False, "{label}[0] must be an integer (got bool)"), - ([6, 2.5], False, "{label}[1] must be an integer (got float)"), + ([1, 2.5], False, T, "{label}[1] must be an integer (got float)"), + ([True, 0], False, T, "{label}[0] must be an integer (got bool)"), + ([6, 2.5], False, T, "{label}[1] must be an integer (got float)"), ( np.array([1.0, 2.0]), False, + T, "{label} entries must be integers (got dtype float64)", ), # the values: the first entry outside, exact also beyond int64 - ([-1, 99], False, "{name}[0] = -1 is outside [0, edge_capacity_units[0] = 5]"), - ([5, 4], False, "{name}[1] = 4 is outside [0, edge_capacity_units[1] = 3]"), + ([-1, 99], False, V, "{name}[0] = -1 is outside [0, edge_capacity_units[0] = 5]"), + ([5, 4], False, V, "{name}[1] = 4 is outside [0, edge_capacity_units[1] = 3]"), ( [5, 2**70], False, + V, "{name}[1] = 1180591620717411303424 is outside [0, edge_capacity_units[1] = 3]", ), ( [-(2**70), 9], False, + V, "{name}[0] = -1180591620717411303424 is outside [0, edge_capacity_units[0] = 5]", ), ( np.array([5, 2**64 - 1], dtype=np.uint64), False, + V, "{name}[1] = 18446744073709551615 is outside [0, edge_capacity_units[1] = 3]", ), # an amount above its capacity (one above; beyond 64 bits) wins over an argument checked # after the amounts - ([6, 0], True, "{name}[0] = 6 is outside [0, edge_capacity_units[0] = 5]"), + ([6, 0], True, V, "{name}[0] = 6 is outside [0, edge_capacity_units[0] = 5]"), ( [5, 2**70], True, + V, "{name}[1] = 1180591620717411303424 is outside [0, edge_capacity_units[1] = 3]", ), ] @@ -123,10 +133,11 @@ def view(g, a, later): @pytest.mark.parametrize(("user", "case"), PAIRS) def test_every_user_reports_the_same_first_defect(user, case): name, label, call = USERS[user] - amounts, later, text = CASES[case] + amounts, later, cls, text = CASES[case] want = text.format(name=name, label=label) - with pytest.raises(ValueError, match=exact(want)): + with pytest.raises((TypeError, ValueError), match=exact(want)) as error: call(graph(), amounts, later) + assert error.type is cls @pytest.mark.parametrize( @@ -181,8 +192,8 @@ def test_a_failed_reset_leaves_the_ledger_unchanged(): uid, before = fg.uid(), ledger_state(fg) assert before[1] == [2, 2] and len(before[4]) == 1 - for bad in ([1], [1, 2.5], [6, 0], [4, 2**70]): - with pytest.raises(ValueError): + for bad, cls in (([1], V), ([1, 2.5], T), ([6, 0], V), ([4, 2**70], V)): + with pytest.raises(cls): fg.reset(bad) assert (fg.uid(), ledger_state(fg)) == (uid, before) fg.reset([1, 1]) diff --git a/tests/py/test_flow_ledger.py b/tests/py/test_flow_ledger.py index acf1d41..6a34b1a 100644 --- a/tests/py/test_flow_ledger.py +++ b/tests/py/test_flow_ledger.py @@ -91,8 +91,10 @@ def test_baseline_validation_order_and_snapshots(): ([True, 0], "integer"), (np.zeros((1, 2), dtype=np.int64), "1-D"), ): - with pytest.raises(ValueError, match=msg): + # An entry or a rank of a wrong type is a TypeError, a length or a value a ValueError. + with pytest.raises((TypeError, ValueError), match=msg) as error: ngc.FlowLedger(g, bad) + assert error.type is (TypeError if msg in ("integer", "1-D") else ValueError) fg2 = ngc.FlowLedger(graph=g, service_baseline=np.array([1, 2], dtype=np.uint64)) assert list(fg2.residual()) == [1, 2] assert fg2.uid() != fg.uid() @@ -348,8 +350,24 @@ def test_flow_ids_of_other_ledgers_and_bad_shapes(): match=exact(f"FlowId {flow_id(p)} belongs to another ledger (uid {b.uid()})"), ): b.record(flow_id(p)) - with pytest.raises(ValueError, match=exact("a FlowId is a tuple (ledger uid, id)")): - a.record(0) + # Not a tuple is a wrong type, a tuple of another length a wrong value: one text. + for bad, cls in ( + (0, TypeError), + ([a.uid(), 0], TypeError), + ((a.uid(),), ValueError), + ): + with pytest.raises( + (TypeError, ValueError), match=exact("a FlowId is a tuple (ledger uid, id)") + ) as error: + a.record(bad) + assert error.type is cls + for bad, what in ((True, "ledger uid"), (1.0, "id")): + fid = (bad, 0) if what == "ledger uid" else (a.uid(), bad) + with pytest.raises( + TypeError, + match=exact(f"FlowId {what} must be an integer (got {type(bad).__name__})"), + ): + a.record(fid) with pytest.raises( ValueError, match=exact(f"FlowId ({a.uid()}, {L62 * 8}) is retired or unknown") ): @@ -404,25 +422,27 @@ def state(): def rejected(requests): before = state() - for value, msg in requests: - with pytest.raises(ValueError, match=exact(msg)): + for value, cls, msg in requests: + with pytest.raises((TypeError, ValueError), match=exact(msg)) as error: p.place(value) + assert error.type is cls, value assert state() == before return before - # One text for every offer outside the domain. + # One text for every offer outside the domain: a type an offer never takes (a bool, a + # string) TypeError, a value outside it ValueError. offer = "offer must be an integer in [0, 2^62) or permitted +inf" bad = [ - (value, offer) - for value in (1.5, -1, L62, True, -INF, float("nan"), np.float64(2.0), "1") - ] + (value, ValueError, offer) + for value in (1.5, -1, L62, -INF, float("nan"), np.float64(2.0)) + ] + [(value, TypeError, offer) for value in (True, "1")] rejected(bad) assert fg.records() == [] assert p.place(np.int64(4)).call_delivered == 4 rejected(bad) p.place(INF) after_inf = "finite placement after infinite placement requires a new epoch" - before = rejected([(1, after_inf), (0, after_inf), *bad]) + before = rejected([(1, ValueError, after_inf), (0, ValueError, after_inf), *bad]) if HOOKS: assert (before[2]["requested"], before[2]["infinite"]) == (4, True) diff --git a/tests/py/test_flow_policy.py b/tests/py/test_flow_policy.py index 891a3a5..6426ae4 100644 --- a/tests/py/test_flow_policy.py +++ b/tests/py/test_flow_policy.py @@ -305,16 +305,16 @@ def rejects(cfg, msg, src=0): ValueError, match=exact("foreign ShortestPathCache: bound to another graph") ): ngc.FlowPolicy(fg, 0, 3, COSTONLY, None, ngc.ShortestPathCache(diamond())) - # Arguments of the wrong kind: a ledger of None and non-integer node ids are ValueError; a - # ledger, config, eligibility or cache of the wrong class and an unknown keyword are TypeError. - with pytest.raises(ValueError, match=exact("ledger must be a FlowLedger")): + # Arguments of the wrong kind are TypeError: a ledger of None, non-integer node ids, a ledger, + # config, eligibility or cache of the wrong class and an unknown keyword. + with pytest.raises(TypeError, match=exact("ledger must be a FlowLedger")): ngc.FlowPolicy(None, 0, 3, COSTONLY) with pytest.raises( - ValueError, match=exact("sources[0] must be an integer (got float)") + TypeError, match=exact("sources[0] must be an integer (got float)") ): ngc.FlowPolicy(fg, [0.0], 3, COSTONLY) with pytest.raises( - ValueError, match=exact("destinations must be a sequence of integers") + TypeError, match=exact("destinations must be a sequence of integers") ): ngc.FlowPolicy(fg, 0, 3.0, COSTONLY) for wrong in ( @@ -929,16 +929,20 @@ def test_python_keeps_what_a_policy_and_an_option_need_alive(): def test_exception_classes_of_conversions(): - # An integer beyond the float range where a float is expected: the resolution (a plain float - # parameter) cannot be converted, a TypeError; a request (integer units) is outside its - # domain, a ValueError. A request's own conversion failure reaches the caller unchanged. + # An integer beyond the float range is an accepted type with a value outside the domain, a + # ValueError, both where a float is expected (the resolution) and as a request (integer + # units). A request's own conversion failure reaches the caller unchanged. for call in ( lambda: ngc.Graph(2, [0], [1], [5], [1], 10**400), lambda: ngc.to_units(1.0, 10**400), lambda: ngc.as_float(1, 10**400), ): - with pytest.raises(TypeError, match="incompatible"): + with pytest.raises( + ValueError, + match=exact("resolution must be a power of two in [2^-32, 2^32]"), + ) as error: call() + assert error.type is ValueError g = build(2, [(0, 1, 5, 1)]) p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, COSTONLY) for big in (10**400, -(10**400)): @@ -974,7 +978,9 @@ def snapshot(): return (policy._place_traced if traced else policy.place), (3,), snapshot - assert sweep_python_allocation(make) >= 3 # not vacuous + # Not vacuous: the result object at least (its fields convert when read); traced, also the + # pair and the trace. + assert sweep_python_allocation(make) >= (3 if traced else 1) @needs_hooks diff --git a/tests/py/test_graph.py b/tests/py/test_graph.py index 216be4a..7922f7e 100644 --- a/tests/py/test_graph.py +++ b/tests/py/test_graph.py @@ -160,8 +160,20 @@ def test_resolution_has_no_default(): ], ) def test_validation_errors(args, message): - with pytest.raises(ValueError, match=exact(message)): + # A value of a type its position never takes is a TypeError, every other defect a ValueError. + cls = TypeError if message in TYPE_DEFECTS else ValueError + with pytest.raises((TypeError, ValueError), match=exact(message)) as error: ngc.Graph(*args) + assert error.type is cls + + +TYPE_DEFECTS = { + "edge_capacity_units[0] must be an integer (got float)", + "edge_capacity_units entries must be integers (got dtype float64)", + "edge_capacity_units[0] must be an integer (got bool)", + "num_nodes must be an integer (got float)", + "edge_costs[0] must be an integer (got float)", +} def test_validation_order(): @@ -259,7 +271,7 @@ def test_eligibility(): ): g.eligibility(excluded_edges=[-1]) with pytest.raises( - ValueError, match=exact("excluded_edges[0] must be an integer (got float)") + TypeError, match=exact("excluded_edges[0] must be an integer (got float)") ): g.eligibility(excluded_edges=[0.0]) @@ -403,13 +415,14 @@ def test_eligibility_ids_checked_before_narrowing(): @pytest.mark.parametrize("cost", [0, -1]) def test_array_rank_is_a_shape_defect_before_costs(name, ndim, cost): # The shape step checks rank 1 for every array argument before the - # cost step, so a 2-D or 0-D array is reported before a zero or negative cost. + # cost step, so a 2-D or 0-D array is reported before a zero or negative cost (a rank is a + # type: TypeError). args = [2, [0], [1], [1], [cost], 1.0] value = cost if name == "edge_costs" else VALID[name] bad = np.array(value, dtype=np.int64) args[ARG_INDEX[name]] = bad.reshape(1, 1) if ndim == 2 else bad pattern = exact(f"{name} must be a 1-D array (got {ndim} dimensions)") - with pytest.raises(ValueError, match=pattern): + with pytest.raises(TypeError, match=pattern): ngc.Graph(*args) @@ -419,7 +432,7 @@ def test_nested_and_scalar_arguments_are_shape_defects(name): nested = [2, [0], [1], [1], [0], 1.0] nested[ARG_INDEX[name]] = [[value]] with pytest.raises( - ValueError, + TypeError, match=exact( f"{name} must be a 1-D sequence of integers (entry 0 is a sequence)" ), @@ -428,7 +441,7 @@ def test_nested_and_scalar_arguments_are_shape_defects(name): scalar = [2, [0], [1], [1], [0], 1.0] scalar[ARG_INDEX[name]] = value with pytest.raises( - ValueError, match=exact(f"{name} must be a 1-D sequence of integers (got int)") + TypeError, match=exact(f"{name} must be a 1-D sequence of integers (got int)") ): ngc.Graph(*scalar) @@ -467,13 +480,13 @@ def test_shape_step_keeps_its_place_in_the_order(): ngc.Graph(2, [0], [1], -5, [0], 1.0) # With valid values the misshapen capacity is a shape defect, before the costs. with pytest.raises( - ValueError, + TypeError, match=exact("edge_capacity_units must be a 1-D array (got 2 dimensions)"), ): ngc.Graph(2, [0], [1], np.array([[1]]), [0], 1.0) - # Rank before lengths. + # Rank (a type) before lengths (a value). with pytest.raises( - ValueError, + TypeError, match=exact("edge_destinations must be a 1-D array (got 2 dimensions)"), ): ngc.Graph(2, [0, 1], np.array([[1, 0]]), [1, 1], [1, 1], 1.0) diff --git a/tests/py/test_ksp.py b/tests/py/test_ksp.py index 3abe498..e76e79a 100644 --- a/tests/py/test_ksp.py +++ b/tests/py/test_ksp.py @@ -134,7 +134,7 @@ def test_ksp_validation_order(): ValueError, match=exact("k must be >= 1 (got -1180591620717411303424)") ): ksp(g, 0, 2, -(2**70)) - with pytest.raises(ValueError, match=exact("k must be an integer (got float)")): + with pytest.raises(TypeError, match=exact("k must be an integer (got float)")): ksp(g, 0, 2, 1.5) absolute = "cost_ceiling AbsoluteCost cost must be >= 0 (got -1)" stretch = "cost_ceiling CostStretch factor must be >= 1 (got {})" diff --git a/tests/py/test_min_cost_flow.py b/tests/py/test_min_cost_flow.py index bc17fbb..8b23e08 100644 --- a/tests/py/test_min_cost_flow.py +++ b/tests/py/test_min_cost_flow.py @@ -159,6 +159,15 @@ def test_fresh_solve_uses_the_released_cheap_edge(): assert certify(g, view, [0], [2], 1, p) == [] +# A type the position never takes (a float or a bool for an integer, None for the graph) is a +# TypeError, a value outside the domain a ValueError. +TYPE_DEFECTS = { + "sources node ids[0] must be an integer (got float)", + "cap must be an integer number of units in [0, 2^63 - 2] or None", + "graph must be a Graph", +} + + @pytest.mark.parametrize( "kwargs, message", [ @@ -195,8 +204,9 @@ def test_invalid_inputs(kwargs, message): "cap": 3, } call.update(kwargs) - with pytest.raises(ValueError, match=exact(message)): + with pytest.raises((TypeError, ValueError), match=exact(message)) as error: core._solve_min_cost_flow(**call) + assert error.type is (TypeError if message in TYPE_DEFECTS else ValueError) def test_foreign_eligibility_and_largest_cap(): @@ -468,11 +478,11 @@ def test_entry_view_rank_is_checked_with_its_length(): # A 0-D view (the 2-D and nested views are test_edge_amounts.py's), and a 2-D sources array. g = build(3, [(0, 1, 5, 1), (1, 2, 5, 1)]) with pytest.raises( - ValueError, match=exact("view must be a 1-D array (got 0 dimensions)") + TypeError, match=exact("view must be a 1-D array (got 0 dimensions)") ): core._solve_min_cost_flow(g, np.array(5), [0], [2], None, 3) with pytest.raises( - ValueError, + TypeError, match=exact("sources node ids must be a 1-D array (got 2 dimensions)"), ): core._solve_min_cost_flow(g, [5, 5], np.array([[0]]), [2], None, -1) diff --git a/tests/py/test_native_allocation.py b/tests/py/test_native_allocation.py index df3f0e9..b98d6ac 100644 --- a/tests/py/test_native_allocation.py +++ b/tests/py/test_native_allocation.py @@ -29,6 +29,7 @@ _spec.loader.exec_module(sys.modules["_netgraph_core"]) import _netgraph_core as ext +import numpy as np from helpers import ( ALL_OUT, COSTONLY, @@ -264,6 +265,10 @@ def spf_opts(direction=ngc.Direction.FORWARD, multipath=True, **kw): lambda g: (ngc.ksp, (g, 0, 4, ngc.KspOptions(4, residual=caps(g)))) ), "FlowLedger.reset": with_orphan(lambda fg: (fg.reset, (half(fg.graph()),))), + # to_units' input converter: a list of numbers of every accepted type, read into one buffer. + "to_units.list": stateless( + lambda g: (ngc.to_units, ([1.5, 2, np.int64(3), np.float32(4.0)], 1.0)) + ), "resolve_to_paths": stateless( lambda g: (ngc.resolve_to_paths, (g, ngc.spf(g, 0, spf_opts()).dag, 0, 4, True)) ), @@ -605,13 +610,18 @@ def run_child(name): # The scenarios with fewer than ten native allocations, and at least how many they make: # reset converts the residual from Python, then builds the new baseline; a getter registers - # its new wrapper (intersect first makes the new value). + # its new wrapper (intersect first makes the new value); to_units reads its input into one + # buffer. FEW = { "FlowLedger.reset": 3, "PlacementResult.program": 1, "FlowRecord.route": 1, "Eligibility.intersect": 4, + "to_units.list": 1, } + # The scenarios whose result is a plain Python value (no native object): their completing + # call holds no native allocation. + PLAIN_RESULTS = {"to_units.list"} def check(name, proc, rows, started): """The checks of one scenario's rows.""" @@ -645,7 +655,9 @@ def check(name, proc, rows, started): # A successful fallback holds exactly the result's native allocations, # not an extra temporary buffer or a leaked staged result. assert row["live"] == done["live"], row - if done["returns"]: + if name in PLAIN_RESULTS: + assert done["live"] == 0, done + elif done["returns"]: # The probe counts what the result object holds. assert done["live"] > 0, done diff --git a/tests/py/test_number_types.py b/tests/py/test_number_types.py new file mode 100644 index 0000000..67ef2a8 --- /dev/null +++ b/tests/py/test_number_types.py @@ -0,0 +1,557 @@ +"""The types a number position takes (the one rule for error classes, with the number types). + +A non-integer number position (a resolution of Graph, to_units and as_float; to_units' value) +takes exactly an int (not a bool), a float, a NumPy integer or floating scalar, an int or float +subclass by its stored value (never through its own __int__, __float__ or __array__), and for +to_units an array of an integer or floating dtype or a sequence of those scalars; any other type is +a TypeError. An integer position (as_float's amount, an offer) takes any object with __index__, +never a bool, and an exception of that __index__ reaches the caller as raised.""" + +from __future__ import annotations + +import array +import gc +import itertools +import math +from collections import UserList +from collections.abc import Sequence +from decimal import Decimal +from fractions import Fraction + +import numpy as np +import pytest +from helpers import exact, sweep_python_allocation +from private_hooks import needs_hooks + +import netgraph_core as ngc + +RESOLUTION = "resolution must be a power of two in [2^-32, 2^32]" +OBJECT = "to_units takes physical numbers (got dtype object)" +BOOL = "to_units takes physical numbers (got dtype bool)" + + +class Index: + def __init__(self, value): + self.value = value + + def __index__(self): + return self.value + + +class IndexFails: + def __index__(self): + raise ZeroDivisionError("own index") + + +class Both: + def __float__(self): + return 1.0 + + def __index__(self): + return 2 + + +class FloatOnly: + def __float__(self): + return 1.0 + + +class ArrayOnly: + def __array__(self, dtype=None, copy=None): + return np.array(2.0, dtype=dtype) + + +# Subclasses whose own conversions must not be called (each raises). +class IntValue(int): + def __float__(self): + raise AssertionError("int __float__ called") + + def __int__(self): + raise AssertionError("int __int__ called") + + +class FloatValue(float): + def __float__(self): + raise AssertionError("float __float__ called") + + +class IntArrayValue(int): + def __array__(self, dtype=None, copy=None): + raise AssertionError("int __array__ called") + + +class FloatArrayValue(float): + def __array__(self, dtype=None, copy=None): + raise AssertionError("float __array__ called") + + +# Subclasses whose own conversions disagree with their stored value 2. +class IntDifferent(int): + def __int__(self): + return 9 + + +class FloatDifferent(float): + def __float__(self): + return 9.0 + + +# Numeric subclasses that also look like a sequence of one 9: a number is read as the number. +class IntSequence(int): + def __len__(self): + return 1 + + def __getitem__(self, i): + if i == 0: + return 9.0 + raise IndexError(i) + + +class FloatSequence(float): + def __len__(self): + return 1 + + def __getitem__(self, i): + if i == 0: + return 9.0 + raise IndexError(i) + + +class ColdResolution(np.float32): + # A resolution whose own conversion empties CPython's free lists, so the conversion's next + # Python allocations are real ones the hook can fail. + def __float__(self): + gc.collect() + return 1.0 + + +RESOLUTION_CALLS = { + "Graph": (lambda q: ngc.Graph(2, [0], [1], [1], [1], q).resolution(), 1.0), + "to_units": (lambda q: ngc.to_units(2.0, q), 2), + "as_float": (lambda q: ngc.as_float(1, q), 1.0), +} +REFUSED_RESOLUTIONS = { + "Decimal": Decimal(1), + "Fraction": Fraction(1), + "Index": Index(1), + "Both": Both(), + "FloatOnly": FloatOnly(), + "array0": np.array(1.0), + "bool": True, + "numpy-bool": np.True_, +} +TAKEN_RESOLUTIONS = { + "int": 1, + "float": 1.0, + "numpy-int": np.int64(1), + "numpy-float": np.float32(1.0), + "int-subclass": IntValue(1), + "float-subclass": FloatValue(1.0), +} + + +@pytest.mark.parametrize("name", RESOLUTION_CALLS) +@pytest.mark.parametrize("q", REFUSED_RESOLUTIONS.values(), ids=REFUSED_RESOLUTIONS) +def test_a_resolution_of_another_type_is_refused(name, q): + with pytest.raises(TypeError, match="incompatible") as error: + RESOLUTION_CALLS[name][0](q) + assert error.type is TypeError + + +@pytest.mark.parametrize("name", RESOLUTION_CALLS) +@pytest.mark.parametrize("q", [2**1024, -(2**1024)], ids=["positive", "negative"]) +def test_a_resolution_int_beyond_the_float_range_is_a_value(name, q): + with pytest.raises(ValueError, match=exact(RESOLUTION)) as error: + RESOLUTION_CALLS[name][0](q) + assert error.type is ValueError + + +@pytest.mark.parametrize("name", RESOLUTION_CALLS) +@pytest.mark.parametrize("q", TAKEN_RESOLUTIONS.values(), ids=TAKEN_RESOLUTIONS) +def test_a_resolution_of_a_number_type_is_taken(name, q): + call, want = RESOLUTION_CALLS[name] + assert call(q) == want + + +@pytest.mark.parametrize( + "x", + [[2**64, 1.5], [1.5, -(2**70)], [2**70, np.float32(1.5)]], + ids=["large-float", "negative-large-float", "large-numpy-float"], +) +def test_ints_beyond_64_bits_beside_floats_are_values(x): + with pytest.raises(ValueError, match=exact(OBJECT)) as error: + ngc.to_units(x, 1.0) + assert error.type is ValueError + + +@pytest.mark.parametrize( + "x", [[True, False], (np.True_, np.False_)], ids=["bool-list", "bool-tuple"] +) +def test_bools_alone_keep_their_dtype_text(x): + with pytest.raises(TypeError, match=exact(BOOL)): + ngc.to_units(x, 1.0) + + +@pytest.mark.parametrize( + ("x", "want"), + [ + (Index(3), 3.0), + (Index(2**63), float(2**63)), + ([1, Index(3)], [1.0, 3.0]), + (Both(), 2.0), + ], + ids=["Index", "Index-large", "Index-list", "Both"], +) +def test_as_float_takes_the_integer_protocol(x, want): + got = ngc.as_float(x, 1.0) + assert (got.tolist() if isinstance(got, np.ndarray) else got) == want + + +@pytest.mark.parametrize("x", [IndexFails(), [1, IndexFails()]], ids=["scalar", "list"]) +def test_as_float_passes_an_own_index_failure_through(x): + with pytest.raises(ZeroDivisionError, match="own index"): + ngc.as_float(x, 1.0) + + +def test_as_float_refuses_an_object_array(): + with pytest.raises( + TypeError, + match=exact("as_float: x entries must be integers (got dtype object)"), + ): + ngc.as_float(np.array([Index(3)], dtype=object), 1.0) + + +@pytest.mark.parametrize( + "x", + [ + Decimal(1), + Fraction(1), + Index(1), + Both(), + FloatOnly(), + ArrayOnly(), + [ArrayOnly()], + [np.array(1.0), 2.0], + ], + ids=[ + "Decimal", + "Fraction", + "Index", + "Both", + "FloatOnly", + "array-protocol", + "array-protocol-entry", + "array0-entry", + ], +) +def test_to_units_refuses_other_types(x): + with pytest.raises(TypeError) as error: + ngc.to_units(x, 1.0) + assert error.type is TypeError + + +def test_to_units_takes_a_real_zero_dimensional_array(): + assert ngc.to_units(np.array(2.0), 1.0) == 2 + + +@pytest.mark.parametrize( + "x", + [ + IntValue(2), + FloatValue(2.0), + IntArrayValue(2), + FloatArrayValue(2.0), + IntDifferent(2), + FloatDifferent(2.0), + ], + ids=[ + "int-subclass", + "float-subclass", + "int-array-protocol", + "float-array-protocol", + "int-subclass-other-int", + "float-subclass-other-float", + ], +) +def test_to_units_reads_a_subclass_by_its_value(x): + assert ngc.to_units(x, 1.0) == 2 + assert ngc.to_units([x], 1.0).tolist() == [2] + + +def test_an_offer_keeps_the_integer_protocol(): + g = ngc.Graph(2, [0], [1], [5], [1], 1.0) + p = ngc.FlowPolicy( + ngc.FlowLedger(g), 0, 1, ngc.FlowPolicyConfig(routing=ngc.ShortestPaths()) + ) + assert p.place(Index(3)).call_delivered == 3 + + +@pytest.mark.parametrize("cls", [IntSequence, FloatSequence]) +def test_a_numeric_subclass_with_sequence_methods_is_a_number(cls): + got = ngc.to_units(cls(2), 1.0) + assert got == 2 and type(got) is int + assert ngc.to_units([cls(2)], 1.0).tolist() == [2] + assert ngc.to_units([9.0], 1.0).tolist() == [9] + + +def outcome(x, q=1.0): + """to_units(x, q) as comparable data: its units, or its refusal (class and text). A + MemoryError is not caught.""" + try: + got = ngc.to_units(x, q) + except (TypeError, ValueError) as e: + return (type(e).__name__, str(e)) + return got.tolist() if isinstance(got, np.ndarray) else got + + +# Every branch of the converter: numbers of each type, subclasses, NumPy scalars, arrays of each +# rank, lists and tuples, ints beyond 64 bits among numbers, bools, other types, nested lists. +CONVERTER_INPUTS = [ + 2.5, + 2**40, + IntSequence(2), + FloatSequence(2.0), + np.int64(3), + np.uint64(2**63), + np.float32(1.5), + np.array(2.5), + np.array([1.5, 2.5], dtype=np.float32), + np.array([1, 2], dtype=np.int64), + [1, 2.5, np.int64(3), np.float32(0.5), IntSequence(2)], + (np.float64(1.0), 2), + [], + [2**64, 1.5], + 2**64, + [True, False], + [True, 1.5], + True, + "1", + [Decimal(1), 1.5], + Decimal(1), + ArrayOnly(), + [ArrayOnly()], + [[1, 2], [3, 4]], + np.array([[1.0]]), + np.array([True]), + np.array([1], dtype=object), + range(3), + UserList([1, 2.5]), + UserList(["a"]), + memoryview(np.array([1.0, 2.0])), + [2**64, True], +] + + +@needs_hooks +def test_the_converter_raises_memory_error_on_every_python_allocation_failure(): + # Each input's conversion with each of its Python allocations failing in turn (the free lists + # emptied first): MemoryError exactly, then the same outcome as without failure. + for x in CONVERTER_INPUTS: + sweep_python_allocation(lambda x=x: (outcome, (x,), lambda: None)) + + +@needs_hooks +@pytest.mark.filterwarnings("ignore::pytest.PytestUnraisableExceptionWarning") +def test_a_cold_conversion_raises_memory_error(): + # The review's witness: a resolution whose own conversion empties the free lists, then each + # Python allocation of to_units([1.0, 2.0], q) failing in turn. A failure inside the + # collection itself is recovered there (the call completes); every other one is a MemoryError. + import _netgraph_core as ext + + x, q = [1.0, 2.0], ColdResolution(1.0) + assert ngc.to_units(x, q).tolist() == [1, 2] + failures = 0 + for at in range(400): + hit, _, got, error = ext._fail_python_allocation(ngc.to_units, (x, q), at) + assert ngc.to_units(x, q).tolist() == [1, 2] + if not hit: + assert error is None and got.tolist() == [1, 2] + break + if got is not None: + assert error is None and got.tolist() == [1, 2] + continue + failures += 1 + assert type(error) is MemoryError, (at, repr(error)) + else: + pytest.fail("no completing call in 400 allocations") + assert failures >= 1 + + +@pytest.mark.parametrize( + "x", [[2**64, Decimal(1)], [Decimal(1), 2**64]], ids=["wide-first", "other-first"] +) +def test_an_int_beyond_64_bits_beside_another_type_is_a_wrong_type(x): + # NumPy's object dtype from another class is a TypeError, wherever the wide int stands. + with pytest.raises(TypeError, match=exact(OBJECT)) as error: + ngc.to_units(x, 1.0) + assert error.type is TypeError + + +class CustomSequence(Sequence): + def __len__(self): + return 3 + + def __getitem__(self, i): + return [0, 1, 2][i] + + +@pytest.mark.parametrize( + "x", + [ + range(3), + memoryview(array.array("q", [0, 1, 2])), + array.array("q", [0, 1, 2]), + UserList([0, 1, 2]), + CustomSequence(), + [0, 1, 2], + (0, 1, 2), + ], + ids=["range", "memoryview", "array.array", "UserList", "custom", "list", "tuple"], +) +def test_every_python_sequence_of_numbers_is_taken(x): + assert ngc.to_units(x, 1.0).tolist() == [0, 1, 2] + + +def test_a_sequence_of_other_types_keeps_numpys_text(): + # Already refused before: the text NumPy's reading gives, whatever the sequence. + for x in (["a"], UserList(["a"]), ("a",)): + with pytest.raises( + TypeError, match=exact("to_units takes physical numbers (got dtype 1: + return "TypeError", RANK + if isinstance(x, (list, tuple)) and any(isinstance(v, (bool, np.bool_)) for v in x): + return "TypeError", NOT_PHYSICAL + units = [] + for v in raw.astype(np.float64).reshape(-1): + v = float(v) + if math.isnan(v): + return "ValueError", "to_units: NaN has no unit value" + if math.isinf(v): + return ( + "ValueError", + "to_units: an infinite amount is not finite and has no unit value", + ) + if v < 0: + return "ValueError", "to_units: a negative amount has no unit value" + y = v / q + rounded = math.floor(y) + (y - math.floor(y) >= 0.5) + if rounded >= 2**62: + return ( + "ValueError", + "to_units: the amount is at or above the bound of the units domain (2^62 units)", + ) + units.append(rounded) + return "valid", units[0] if raw.ndim == 0 else units + + +def test_the_check_order_over_pairs_and_triples(): + # The review's order matrix: every pair of a pool of scalars and every triple of a smaller + # one, as lists and tuples, at three resolutions, against the contract's order. + pool = [0, 2.5, -1.0, math.nan, math.inf, 2**62, 2**64, True, np.True_] + pool += [Decimal(1), "1", None] + triples = [2.5, -1.0, 2**64, True, Decimal(1)] + inputs = list(pool) + for size, values in ((2, pool), (3, triples)): + for row in itertools.product(values, repeat=size): + inputs += [list(row), tuple(row)] + inputs += [ + np.array([0, 1, 2]), + np.array([0.5, 2.5], dtype=np.float32), + np.array([True]), + np.array([1], dtype=object), + np.array([[1, 2]]), + np.array([[True]]), + ] + bad = [] + for q in (1.0, 0.5, 0.75): + for x in inputs: + try: + got = ngc.to_units(x, q) + except (TypeError, ValueError) as e: + actual = (type(e).__name__, str(e)) + else: + actual = ("valid", got.tolist() if isinstance(got, np.ndarray) else got) + if actual != contract_outcome(x, q): + bad.append((x, q, actual)) + assert bad == [] diff --git a/tests/py/test_programs.py b/tests/py/test_programs.py index 54547cd..79ca38b 100644 --- a/tests/py/test_programs.py +++ b/tests/py/test_programs.py @@ -2369,7 +2369,9 @@ def snapshot(): return getattr(policy, method), (6,), snapshot - assert sweep_python_allocation(make) >= 3 # not vacuous + assert ( + sweep_python_allocation(make) >= 1 + ) # the result object at least (its fields convert when read) @needs_hooks diff --git a/tests/py/test_public_surface.py b/tests/py/test_public_surface.py index f66d114..2216aa5 100644 --- a/tests/py/test_public_surface.py +++ b/tests/py/test_public_surface.py @@ -389,8 +389,9 @@ def test_policy_takes_its_ledger_first_or_by_the_name_ledger(): assert ngc.FlowPolicy(ledger, 0, 1, cfg).place(1).call_delivered == 1 with pytest.raises(TypeError): ngc.FlowPolicy(flow_graph=ledger, sources=0, destinations=1, config=cfg) - with pytest.raises(ValueError, match=exact("ledger must be a FlowLedger")): + with pytest.raises(TypeError, match=exact("ledger must be a FlowLedger")) as info: ngc.FlowPolicy(None, 0, 1, cfg) + assert type(info.value) is TypeError assert "ledger: _netgraph_core.FlowLedger" in ngc.FlowPolicy.__init__.__doc__ @@ -419,69 +420,70 @@ def _refusal_inputs(): ROUTES = "routes must be a sequence of RouteDefinition" ROUTE_TYPE = "RouteDefinition route must be a Path or a PredecessorDAG (got {})" -# Each wrong argument, the exception class and the whole message it is refused with. A None -# where a Graph, an Eligibility or a PredecessorDAG is expected reaches the binding as a null value -# (pybind11 refuses every other wrong type first), so these checks also keep the call from -# reading it. +# Each wrong argument, the exception class and the whole message it is refused with: a wrong type +# (None included) TypeError, a wrong value (a pair of another length, an unknown FlowId) +# ValueError. A None where a Graph, an Eligibility or a PredecessorDAG is expected reaches the +# binding as a null value (pybind11 refuses every other wrong type first), so these checks also keep +# the call from reading it. REFUSALS = { - "spf-graph-None": (lambda s: ngc.spf(None, 0, s.spf), ValueError, GRAPH), - "ksp-graph-None": (lambda s: ngc.ksp(None, 0, 2, s.ksp), ValueError, GRAPH), + "spf-graph-None": (lambda s: ngc.spf(None, 0, s.spf), TypeError, GRAPH), + "ksp-graph-None": (lambda s: ngc.ksp(None, 0, 2, s.ksp), TypeError, GRAPH), "resolve-graph-None": ( lambda s: ngc.resolve_to_paths(None, s.dag, 0, 2), - ValueError, + TypeError, GRAPH, ), "resolve-dag-None": ( lambda s: ngc.resolve_to_paths(s.g, None, 0, 2), - ValueError, + TypeError, "dag must be a PredecessorDAG", ), "ShortestPathCache-graph-None": ( lambda s: ngc.ShortestPathCache(None), - ValueError, + TypeError, GRAPH, ), - "FlowLedger-graph-None": (lambda s: ngc.FlowLedger(None), ValueError, GRAPH), + "FlowLedger-graph-None": (lambda s: ngc.FlowLedger(None), TypeError, GRAPH), "FlowLedger-graph-None-with-residual": ( lambda s: ngc.FlowLedger(None, [5, 5]), - ValueError, + TypeError, GRAPH, ), - "Path-graph-None": (lambda s: ngc.Path(None, [[0]]), ValueError, GRAPH), + "Path-graph-None": (lambda s: ngc.Path(None, [[0]]), TypeError, GRAPH), "from_csr-graph-None": ( lambda s: ngc.PredecessorDAG.from_csr(None, [0, 0, 0, 0], [], []), - ValueError, + TypeError, GRAPH, ), "capacity-graph-None": ( lambda s: ngc.evaluate_demand(None, 0, 2, s.query), - ValueError, + TypeError, GRAPH, ), "evaluate_pairs-graph-None": ( lambda s: ngc.evaluate_pairs(None, [(0, 2)], s.query), - ValueError, + TypeError, GRAPH, ), "sensitivity-graph-None": ( lambda s: ngc.evaluate_edge_failures(None, 0, 2, s.query), - ValueError, + TypeError, GRAPH, ), "intersect-second-None": ( lambda s: ngc.Eligibility.intersect(s.g.eligibility(), None), - ValueError, + TypeError, INTERSECT, ), "intersect-first-None": ( lambda s: ngc.Eligibility.intersect(None, s.g.eligibility()), - ValueError, + TypeError, INTERSECT, ), # Shapes and types of sequence and field arguments. "evaluate_pairs-pairs-not-a-sequence": ( lambda s: ngc.evaluate_pairs(s.g, 5, s.query), - ValueError, + TypeError, "pairs must be a sequence of (sources, destinations)", ), "evaluate_pairs-pair-of-one": ( @@ -491,22 +493,22 @@ def _refusal_inputs(): ), "evaluate_pairs-pair-not-a-sequence": ( lambda s: ngc.evaluate_pairs(s.g, [5], s.query), - ValueError, + TypeError, PAIR, ), "evaluate_pairs-per_pair_eligibility-not-a-sequence": ( lambda s: ngc.evaluate_pairs(s.g, [(0, 2)], s.query, 5), - ValueError, + TypeError, "per_pair_eligibility must be a sequence of Eligibility or None", ), "Path-hops-not-a-sequence": ( lambda s: ngc.Path(s.g, 5), - ValueError, + TypeError, "Path: hops must be a sequence of hops (sequences of EdgeIds)", ), "FlowPolicy-sources-2-D": ( lambda s: ngc.FlowPolicy(s.ledger, np.array([[0]]), 2, s.cfg), - ValueError, + TypeError, "sources must be a 1-D array (got 2 dimensions)", ), "FlowLedger-record-unknown-ledger": ( @@ -571,7 +573,7 @@ def _refusal_inputs(): ), "from_routes-graph-None": ( lambda s: ngc.ForwardingProgram.from_routes(None, [0], [2], [s.route]), - ValueError, + TypeError, GRAPH, ), "from_routes-routes-int": ( diff --git a/tests/py/test_route_structures.py b/tests/py/test_route_structures.py index b5266a7..b0774f5 100644 --- a/tests/py/test_route_structures.py +++ b/tests/py/test_route_structures.py @@ -243,15 +243,15 @@ def test_from_csr_passes_a_failed_offset_conversion_through(fail_on, which, erro def test_from_csr_type_and_shape_defects(): g = build(3, G_EDGES) with pytest.raises( - ValueError, match=exact("parent_offsets must be a 1-D array (got 2 dimensions)") + TypeError, match=exact("parent_offsets must be a 1-D array (got 2 dimensions)") ): ngc.PredecessorDAG.from_csr(g, np.zeros((2, 2), dtype=np.int64), [], []) with pytest.raises( - ValueError, match=exact("parent_offsets[3] must be an integer (got float)") + TypeError, match=exact("parent_offsets[3] must be an integer (got float)") ): ngc.PredecessorDAG.from_csr(g, [0, 0, 0, 0.0], [], []) with pytest.raises( - ValueError, match=exact("parent_offsets[3] must be an integer (got bool)") + TypeError, match=exact("parent_offsets[3] must be an integer (got bool)") ): ngc.PredecessorDAG.from_csr(g, [0, 0, 0, True], [], []) diff --git a/tests/py/test_search.py b/tests/py/test_search.py index 241e075..a46e2ca 100644 --- a/tests/py/test_search.py +++ b/tests/py/test_search.py @@ -162,7 +162,7 @@ def test_validation_order_on_unnarrowed_values(): ): ngc.spf(g, 0, opts(min_residual=-big)) with pytest.raises( - ValueError, match=exact("min_residual must be an integer (got float)") + TypeError, match=exact("min_residual must be an integer (got float)") ): ngc.spf(g, 0, opts(min_residual=1.5)) with pytest.raises(ValueError, match="^foreign Eligibility"): diff --git a/tests/py/test_source_allocation.py b/tests/py/test_source_allocation.py index fc0426c..441f029 100644 --- a/tests/py/test_source_allocation.py +++ b/tests/py/test_source_allocation.py @@ -232,12 +232,16 @@ def test_endpoints_before_ownership(): def test_amount_texts(): _, _, p = fresh(ONE, 0, 1, cost_only()) - for bad in (-1, 2**62, float("nan"), 1.5, -INF, True): + # One text, with the class of its cause: a bool is a wrong type, the rest wrong values. + for bad, cls in [(v, ValueError) for v in (-1, 2**62, float("nan"), 1.5, -INF)] + [ + (True, TypeError) + ]: with pytest.raises( - ValueError, + (TypeError, ValueError), match=exact("offer must be an integer in [0, 2^62) or permitted +inf"), - ): + ) as error: p.place(bad) + assert error.type is cls p.place(INF) for finite in (1, 0): with pytest.raises( diff --git a/tests/py/test_units.py b/tests/py/test_units.py index 38c1325..02d919a 100644 --- a/tests/py/test_units.py +++ b/tests/py/test_units.py @@ -3,6 +3,7 @@ from __future__ import annotations import math +from decimal import Decimal from fractions import Fraction import numpy as np @@ -63,27 +64,57 @@ def test_exactness_limits(): RESOLUTION = "resolution must be a power of two in [2^-32, 2^32]" +# A value outside the domain is a ValueError; a type to_units never takes (a string, a bool, an +# array of another dtype or rank) a TypeError. @pytest.mark.parametrize( - "x, message", + "x, cls, message", [ - (float("nan"), NAN), - (float("inf"), INFINITE), - (-float("inf"), INFINITE), - (-1e-300, "to_units: a negative amount has no unit value"), - (2.0**62, BOUND), - ([1.0, float("nan")], NAN), - ("1.0", NOT_PHYSICAL), - (b"1.0", NOT_PHYSICAL), - (True, NOT_PHYSICAL), - (["a"], "to_units takes physical numbers (got dtype Date: Tue, 20 Oct 2026 07:30:57 +0100 Subject: [PATCH 21/39] Lists of actions in one call apply_actions(ledger, actions, mode=...) runs Place, Replace and Forward actions together. ORDERED gives what the same calls one by one would give and publishes once, so an error changes nothing. SIMULTANEOUS forwards every participant at the same time on fixed routes: demands share the losses on each link, cyclic losses are solved in rounds as within one program, and a participant's black holes are its own. Black-holed traffic is dropped where it arrives in single calls too, and a tunnel or route member that can carry nothing no longer makes a link wait. A list too large for the forwarding counters is refused with an error that names the counter. Co-Authored-By: Claude Opus 5.5 --- CHANGELOG.md | 33 +- CMakeLists.txt | 4 + README.md | 13 +- bindings/python/apply_actions.cpp | 205 ++ bindings/python/evaluators.cpp | 33 - bindings/python/flow_policy.cpp | 10 - bindings/python/hooks.cpp | 47 +- bindings/python/module.cpp | 8 +- bindings/python/registration.hpp | 1 + bindings/python/values.hpp | 48 +- dev/cpp-tests.sh | 1 + dev/perf/README.md | 3 +- dev/perf/aba_api.hpp | 120 ++ dev/perf/aba_rows.hpp | 44 + dev/perf/test_tool.py | 23 +- dev/pytest_guard.py | 9 + dev/stubs/overrides.pyi | 71 + docs/semantics.md | 143 +- include/netgraph/core/detail/forwarding.hpp | 43 +- .../netgraph/core/detail/ledger_access.hpp | 13 + include/netgraph/core/flow_policy.hpp | 59 + python/netgraph_core/__init__.py | 12 + python/netgraph_core/__init__.pyi | 174 ++ src/flow_ledger.cpp | 201 +- src/flow_policy.cpp | 392 +++- src/forwarding.cpp | 1116 ++++++++--- tests/cpp/apply_actions_fault_tests.cpp | 367 ++++ tests/cpp/apply_actions_tests.cpp | 1657 ++++++++++++++++ tests/cpp/contract_examples_tests.cpp | 524 +++++ tests/cpp/flow_ledger_tests.cpp | 227 ++- tests/cpp/joint_forwarding_tests.cpp | 1122 +++++++++++ tests/cpp/program_tests.cpp | 98 + tests/cpp/public_names_tests.cpp | 13 + tests/py/contract_api.py | 40 + tests/py/removed_names_reviewed.txt | 12 + tests/py/test_apply_actions.py | 1682 +++++++++++++++++ tests/py/test_contract_examples.py | 1083 ++++++++++- tests/py/test_docs_examples.py | 2 +- tests/py/test_getter_allocation.py | 3 + tests/py/test_native_allocation.py | 45 +- tests/py/test_programs.py | 105 + tests/py/test_public_surface.py | 18 +- tests/typing/invalid_client.py | 7 + tests/typing/valid_client.py | 17 + 44 files changed, 9407 insertions(+), 441 deletions(-) create mode 100644 bindings/python/apply_actions.cpp create mode 100644 tests/cpp/apply_actions_fault_tests.cpp create mode 100644 tests/cpp/apply_actions_tests.cpp create mode 100644 tests/cpp/joint_forwarding_tests.cpp create mode 100644 tests/py/test_apply_actions.py diff --git a/CHANGELOG.md b/CHANGELOG.md index 1da6f06..1f133ee 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -11,6 +11,29 @@ A rebuilt Core (breaking): one numeric domain (integer units), one flow core, on engine with four routing models, forwarding programs and three evaluators. It replaces the 0.11 API. +### Added + +- **Several demands at once**: `apply_actions(ledger, actions, *, mode=BatchMode.ORDERED, + outputs=None)` runs `Place(policy, offer)`, `Replace(policy, offer, *, design_demand=None)` and + `Forward(policy, offer, *, black_holes=None)` actions of several policies of one ledger as one + transaction: validated whole (the argument types, then each action in list order: ownership, a + policy at most once, the mode's rules, the scalar call's checks), then computed, then published + once, with one `PlacementResult` per action in input order. The actions are immutable values + that keep their policy and black holes alive and their offers as given. `BatchMode.ORDERED` runs + each action as its scalar call on the state the earlier ones left (earlier actions are served + first; a hold protects nothing); new FlowIds follow list order. `BatchMode.SIMULTANEOUS` takes + `Replace` of `ShortestPaths` `EQUAL` or `WEIGHTED` and of `Pinned` and `Forward` of any installed + program, every one LOSSY with a finite offer, and forwards them at the same time on one view (the + residual plus every participant's old traffic; outside owners, orphans and holds stay): a full + edge is shared by highest averages over the demands (ties by policy creation order, never list + position), then within a demand over its heads, then its entries; a pooled demand's router + attributes each member's amount to its sources; each participant's black holes are its own; + loss cycles across demands are recalculated in rounds as within one program. Outputs read the + state after each action (ORDERED) or after the whole list (SIMULTANEOUS). The forwarding size + limits and the record identity limit count the whole list. C++: `apply_actions(FlowLedger&, + std::span, BatchMode, const OutputOptions&)` with `Action = std::variant`. + ### Changed - **Graph**: `Graph(num_nodes, edge_sources, edge_destinations, edge_capacity_units, edge_costs, @@ -161,7 +184,8 @@ API. forwards one: replayed under the policy's Eligibility (a tunnel touching an excluded element is `FAILED`, its head splits over the survivors) and, with `black_holes`, stale (the program unchanged, traffic reaching a black hole dropped there, `BLACKHOLED`). Lossy forwarding divides a - shared edge by nested highest averages (heads, then entries), evaluates the program as a whole, + shared edge by nested highest averages (demands, heads, then entries; what reaches a black hole + takes no part), evaluates the program as a whole, and recalculates edges that wait on each other in a cycle in rounds (a period-2 or round-limit `ValueError`; an independent check before publication). - **Failure guarantee**: every public call either completes or raises and changes nothing, also @@ -266,7 +290,12 @@ API. share delivers 0 (was 5); pooled sources whose routes meet at a router split there jointly, so two sources reaching two unit-capacity members deliver 2 with LOSSY (was 1); `CostStretch(1.2)` is the exact fraction 6/5, so a baseline cost of 5 admits a path of cost 6 at equality and the - tunnel case that delivered 0 now delivers 1. + tunnel case that delivered 0 now delivers 1; a black-holed edge no longer waits in a loss cycle, + so a cycle that never settles raises its round-limit error after 64 rounds per edge that does + wait (a loaded black-holed edge inside such a cycle added 64 more), with every amount, every + settling round and every period-2 error unchanged; a tunnel or split-route member whose share is 0 + no longer makes an edge wait (it can carry nothing), so it no longer joins two edges into one loss + cycle. ### Removed diff --git a/CMakeLists.txt b/CMakeLists.txt index f63ad81..cc58a4c 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -108,6 +108,7 @@ pybind11_add_module(_netgraph_core bindings/python/placement_result.cpp bindings/python/shortest_path_cache.cpp bindings/python/flow_policy.cpp + bindings/python/apply_actions.cpp bindings/python/evaluators.cpp bindings/python/path_enumeration.cpp bindings/python/search.cpp @@ -162,6 +163,8 @@ if(NETGRAPH_CORE_BUILD_TESTS) tests/cpp/zero_capacity_tests.cpp tests/cpp/pooled_source_allocation_tests.cpp tests/cpp/program_tests.cpp + tests/cpp/joint_forwarding_tests.cpp + tests/cpp/apply_actions_tests.cpp tests/cpp/distributed_te_tests.cpp tests/cpp/centralized_te_tunnels_tests.cpp tests/cpp/contract_examples_tests.cpp @@ -173,6 +176,7 @@ if(NETGRAPH_CORE_BUILD_TESTS) tests/cpp/fault_injection.cpp tests/cpp/flow_ledger_fault_tests.cpp tests/cpp/flow_policy_fault_tests.cpp + tests/cpp/apply_actions_fault_tests.cpp tests/cpp/min_cost_flow_deletion_fault_tests.cpp tests/cpp/search_fault_tests.cpp tests/cpp/graph_fault_tests.cpp diff --git a/README.md b/README.md index 1b032bc..55a6145 100644 --- a/README.md +++ b/README.md @@ -5,7 +5,8 @@ C++ graph engine for network flow analysis, traffic engineering simulation, and > **Unreleased, breaking.** This version replaces the 0.11 API (see the Unreleased section of > [CHANGELOG.md](CHANGELOG.md)): the graph on integer units, the minimum-cost flow core, the route > structures (`PredecessorDAG`, `Path`), the integer ledger `FlowLedger` with the route allocations, the -> policy engine `FlowPolicy` with its four routing models, forwarding programs, the searches (`spf`, +> policy engine `FlowPolicy` with its four routing models and its lists of several policies' actions +> (`apply_actions`), forwarding programs, the searches (`spf`, > `ksp`, `resolve_to_paths`), the `ShortestPathCache` in building and frozen modes, and the evaluators > `evaluate_demand`, `evaluate_pairs` and `evaluate_edge_failures`. > The previous API (0.11 and earlier) is in git history and on PyPI. @@ -150,6 +151,16 @@ specified in [docs/semantics.md](docs/semantics.md). program (T1 keeps its tunnels and holds, T2 its tunnels and plan); `remove()` reverts the policy's flows and holds; `records()`, `record(flow_id)`, `delivered()`, `config` and `program` read its state. +- **`apply_actions(ledger, actions, *, mode=BatchMode.ORDERED, outputs=None)`**: the actions of + several policies of one ledger (`Place(policy, offer)`, `Replace(policy, offer, *, + design_demand=None)`, `Forward(policy, offer, *, black_holes=None)`, immutable values) as one + transaction, validated whole and published once, one `PlacementResult` per action in input + order. `BatchMode.ORDERED` runs each as its scalar call on the state the earlier ones left + (earlier actions are served first); `BatchMode.SIMULTANEOUS` forwards LOSSY `Replace` actions of + `ShortestPaths` `EQUAL` or `WEIGHTED` and `Pinned` and `Forward` actions of installed programs at + the same time on one view (the residual plus every participant's old traffic), a full edge + shared by highest averages over the demands, then their heads, then their entries + ([docs/semantics.md](docs/semantics.md#several-demands-at-once)). - **Failure guarantee**: every public call either completes or raises one exception and leaves every ledger, policy, cache and scratch buffer as it was, whatever fails (validation, memory, a worker thread, building the Python result). Two limits: pybind11 does not check every diff --git a/bindings/python/apply_actions.cpp b/bindings/python/apply_actions.cpp new file mode 100644 index 0000000..057c866 --- /dev/null +++ b/bindings/python/apply_actions.cpp @@ -0,0 +1,205 @@ +// Several demands at once: BatchMode, the actions Place, Replace and Forward, and apply_actions. +#include +#include + +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/eligibility.hpp" +#include "netgraph/core/flow_ledger.hpp" +#include "netgraph/core/flow_policy.hpp" +#include "integers.hpp" +#include "publication.hpp" +#include "values.hpp" +#include "registration.hpp" + +namespace py = pybind11; + +namespace netgraph::core::bindings { + +namespace { + +// The Python actions keep their arguments as given (the objects themselves, so an action keeps its +// policy and black holes alive); the call converts them. +struct PyPlace { + py::object policy; + py::object offer; +}; +struct PyReplace { + py::object policy; + py::object offer; + py::object design_demand; +}; +struct PyForward { + py::object policy; + py::object offer; + py::object black_holes; +}; + +std::string type_name(const py::handle& obj) { return std::string(py::str(py::type::of(obj).attr("__name__"))); } + +py::object policy_arg(const py::object& policy) { + if (!py::isinstance(policy)) throw py::type_error("policy must be a FlowPolicy (got " + type_name(policy) + ")"); + return policy; +} + +// An offer: an int (an __index__ object is kept as its int) or a float, None refused. +py::object offer_arg(const py::object& offer) { + if (offer.is_none()) throw py::type_error("offer must be an int or a float (got NoneType)"); + return units_as_given(offer, "offer"); +} + +py::object black_holes_arg(const py::object& black_holes) { + (void)eligibility_or_none(black_holes, "black_holes"); + return black_holes; +} + +// The offer of a converted action: +inf nullopt; any value outside the domain -1, so the call's +// own check raises the offer text in its place. +std::optional offer_at_use(const py::object& offer) { return *units_at_use(offer); } + +FlowPolicy& policy_at_use(const py::object& policy) { return policy.cast(); } + +// The native action of entry i, or the type error of an entry that is not an action. +Action action_of(const py::handle& item, std::size_t i) { + if (py::isinstance(item)) { + const auto& a = item.cast(); + return Place {policy_at_use(a.policy), offer_at_use(a.offer)}; + } + if (py::isinstance(item)) { + const auto& a = item.cast(); + return Replace {policy_at_use(a.policy), offer_at_use(a.offer), units_at_use(a.design_demand)}; + } + if (py::isinstance(item)) { + const auto& a = item.cast(); + const Eligibility* black_holes = a.black_holes.is_none() ? nullptr : a.black_holes.cast(); + return Forward {policy_at_use(a.policy), offer_at_use(a.offer), black_holes}; + } + throw py::type_error("actions[" + std::to_string(i) + "] must be a Place, Replace or Forward (got " + type_name(item) + ")"); +} + +} // namespace + +void register_apply_actions(py::module_& m) { + py::enum_(m, "BatchMode", + "How apply_actions runs its list. ORDERED: each action as its scalar call, in list order, on the\n" + "state the earlier actions left (earlier actions are served first). SIMULTANEOUS: every action forwarded at\n" + "the same time on one view, losses shared on links across the demands.") + .value("ORDERED", BatchMode::Ordered) + .value("SIMULTANEOUS", BatchMode::Simultaneous); + + py::class_(m, "Place", + "An incremental place(offer) of policy in an apply_actions list (ORDERED only). An immutable value:\n" + "policy (a FlowPolicy, kept alive) and offer (int units or a float, kept as given; another type\n" + "raises TypeError here, a value outside the domain raises the call's ValueError at apply_actions).") + .def(py::init([](const py::object& policy, const py::object& offer) { + return PyPlace {policy_arg(policy), offer_arg(offer)}; + }), + py::arg("policy"), py::arg("offer")) + .def_readonly("policy", &PyPlace::policy, "the FlowPolicy") + .def_readonly("offer", &PyPlace::offer, "the offer as given (int units or a float)"); + + py::class_(m, "Replace", + "A replace(offer, design_demand) of policy in an apply_actions list; SIMULTANEOUS takes it only for\n" + "ShortestPaths EQUAL or WEIGHTED and for Pinned. An immutable value: policy (kept alive), offer and\n" + "design_demand (int units or a float, kept as given; None: absent; another type raises TypeError\n" + "here, a value outside the domain raises the call's ValueError at apply_actions).") + .def(py::init([](const py::object& policy, const py::object& offer, const py::object& design_demand) { + return PyReplace {policy_arg(policy), offer_arg(offer), units_as_given(design_demand, "design_demand")}; + }), + py::arg("policy"), py::arg("offer"), py::kw_only(), py::arg("design_demand") = py::none()) + .def_readonly("policy", &PyReplace::policy, "the FlowPolicy") + .def_readonly("offer", &PyReplace::offer, "the offer as given (int units or a float)") + .def_readonly("design_demand", &PyReplace::design_demand, "the design demand as given (int units or a float); None: absent"); + + py::class_(m, "Forward", + "A forward(offer, black_holes) of policy over its installed program in an apply_actions list. An\n" + "immutable value: policy and black_holes (an Eligibility of the policy's graph or None) kept alive,\n" + "offer (int units or a float, kept as given; another type raises TypeError here, a value outside\n" + "the domain raises the call's ValueError at apply_actions).") + .def(py::init([](const py::object& policy, const py::object& offer, const py::object& black_holes) { + return PyForward {policy_arg(policy), offer_arg(offer), black_holes_arg(black_holes)}; + }), + py::arg("policy"), py::arg("offer"), py::kw_only(), py::arg("black_holes") = py::none()) + .def_readonly("policy", &PyForward::policy, "the FlowPolicy") + .def_readonly("offer", &PyForward::offer, "the offer as given (int units or a float)") + .def_readonly("black_holes", &PyForward::black_holes, "the black holes (an Eligibility); None: none"); + + m.def( + "apply_actions", + [](const py::object& ledger, const py::object& actions, const py::object& mode, const py::object& outputs) { + // The arguments' types in argument order, every entry included, before any native check. + if (!py::isinstance(ledger)) throw py::type_error("ledger must be a FlowLedger"); + if (is_invalid_sequence(actions)) { + throw py::type_error("actions must be a sequence of Place, Replace or Forward (got " + type_name(actions) + ")"); + } + const auto items = py::reinterpret_borrow(actions); + const Py_ssize_t count = PySequence_Size(items.ptr()); + if (count < 0) throw py::error_already_set(); + const auto n = static_cast(count); + // The entries are held for the call: the actions borrow their policies and black holes. + std::vector held; + held.reserve(n); + std::vector native; + native.reserve(n); + for (std::size_t i = 0; i < n; ++i) { + PyObject* raw = PySequence_GetItem(items.ptr(), static_cast(i)); + if (raw == nullptr) throw py::error_already_set(); + held.push_back(py::reinterpret_steal(raw)); + native.push_back(action_of(held.back(), i)); + } + if (!py::isinstance(mode)) throw py::type_error("mode must be a BatchMode (got " + type_name(mode) + ")"); + const auto batch_mode = mode.cast(); + const auto o = outputs_of(outputs); + // All or nothing across the boundary: the list and its n result objects exist before the + // call, and after the commit nothing allocates (each value moves into its object). The GIL + // stays held: the call mutates the ledger (one writer per ledger). + auto out = py::reinterpret_steal>(checked(PyList_New(count)).release()); + std::vector slots(n); + for (std::size_t i = 0; i < n; ++i) { + auto [obj, slot] = new_object(); + slots[i] = slot; + PyList_SET_ITEM(out.ptr(), static_cast(i), obj.release().ptr()); + } + auto results = apply_actions(ledger.cast(), native, batch_mode, o); + for (std::size_t i = 0; i < n; ++i) *slots[i] = std::move(results[i]); + return out; + }, + py::arg("ledger"), py::arg("actions"), py::kw_only(), py::arg_v("mode", BatchMode::Ordered, "BatchMode.ORDERED"), + py::arg("outputs") = py::none(), + "Run the actions of several policies of ledger (a sequence of Place, Replace and Forward) as one\n" + "transaction -> list[PlacementResult], one per action in input order, each the scalar call's fields\n" + "for its policy. The whole list is validated first, then computed, then published once (one exchange\n" + "of every policy's records, then their epochs): a failed call raises with the ledger and every\n" + "policy unchanged (with the two limits in the module docstring). A policy appears at most once, and\n" + "every policy belongs to ledger.\n" + "mode ORDERED: each action runs in list order on a private working state exactly as its scalar call\n" + "would on the state the earlier actions left (their carried load and holds); new records take\n" + "FlowIds in list order. Earlier actions are served first: a reservation gives no protection. mode SIMULTANEOUS:\n" + "Replace of ShortestPaths EQUAL or WEIGHTED (routes prepared on the view) and of Pinned, Forward of\n" + "any policy with an installed program, every one LOSSY with a finite offer, forwarded at the same\n" + "time on one view: the residual plus every participant's old carried load (outside owners and orphans\n" + "stay; holds are never added). At a link that cannot carry its arrivals the loss is shared by highest\n" + "averages over the demands (ties by policy creation order, never by list position), then over each\n" + "demand's sources, then its tunnels; each participant's black holes are its own. Permuting the list\n" + "changes nothing. outputs (OutputOptions; None: none) as for the scalar calls: residual and\n" + "saturated_boundary_edges read the state after that action (ORDERED) or after the whole list\n" + "(SIMULTANEOUS, one residual for every entry, each entry's boundary from its own sources and mask).\n" + "Checked in this order: the arguments' types (TypeError: `ledger must be a FlowLedger`, `actions must\n" + "be a sequence of Place, Replace or Forward (got )`, `actions[] must be a Place, Replace or\n" + "Forward (got )`, `mode must be a BatchMode (got )`, `outputs must be an OutputOptions\n" + "(got )`); mode's value (`mode: is not a value of BatchMode`); an empty list returns [];\n" + "then each action in list order, all of its checks before the next action's: `list policy belongs\n" + "to another ledger`, `duplicate policy in list`, SIMULTANEOUS's own rules (`SIMULTANEOUS does not\n" + "accept Place`, `SIMULTANEOUS Replace requires ShortestPaths EQUAL or WEIGHTED, or Pinned`,\n" + "`SIMULTANEOUS requires admission=LOSSY`, `SIMULTANEOUS requires finite offers`), then the scalar\n" + "call's checks in its order. Only then is anything computed; an error of the computation (a\n" + "loss-iteration error, a solver or forwarding size limit, the record identity limit counted for the\n" + "whole list) publishes nothing."); +} + +} // namespace netgraph::core::bindings diff --git a/bindings/python/evaluators.cpp b/bindings/python/evaluators.cpp index 2834f0e..ff79e86 100644 --- a/bindings/python/evaluators.cpp +++ b/bindings/python/evaluators.cpp @@ -31,39 +31,6 @@ namespace netgraph::core::bindings { namespace { -// An amount option as given (Units: an int or a float; None: absent). A value of another type (a -// bool, a string, ...) raises TypeError here; its domain is the evaluator's check, after the configuration. -// An __index__ object is kept as its int. -py::object units_as_given(const py::object& obj, const char* name) { - if (obj.is_none() || PyFloat_Check(obj.ptr()) || has_type(obj.ptr(), numpy_number_types().second)) { - return obj; - } - if (!is_bool(obj) && PyIndex_Check(obj.ptr())) { - auto idx = py::reinterpret_steal(PyNumber_Index(obj.ptr())); - if (!idx) throw py::error_already_set(); - return idx; - } - throw py::type_error(std::string(name) + " must be an int or a float (got " + - std::string(py::str(py::type::of(obj).attr("__name__"))) + ")"); -} - -// The C++ form of an option kept as given: None absent; +inf the inner nullopt; an int in int64 its -// value; any other value (a float other than +inf, an int beyond int64) -1, which is outside every -// domain and so raises the option's domain error in its place. -std::optional> units_at_use(const py::object& obj) { - if (obj.is_none()) return std::nullopt; - if (PyLong_Check(obj.ptr())) { - int overflow = 0; - const long long v = PyLong_AsLongLongAndOverflow(obj.ptr(), &overflow); - if (overflow != 0) return Amount {-1}; - return Amount {v}; - } - const double x = PyFloat_AsDouble(obj.ptr()); - if (x == -1.0 && PyErr_Occurred() != nullptr) throw py::error_already_set(); - if (std::isinf(x) && x > 0) return std::optional> {std::in_place, std::nullopt}; - return Amount {-1}; -} - // The Python form of EvaluationOptions: the Eligibility and the cache are held by reference count // for the call (the C++ structs borrow raw pointers); design_demand and offer as given. struct PyEvaluationOptions { diff --git a/bindings/python/flow_policy.cpp b/bindings/python/flow_policy.cpp index 8e49604..6965c30 100644 --- a/bindings/python/flow_policy.cpp +++ b/bindings/python/flow_policy.cpp @@ -55,16 +55,6 @@ std::optional> design_units(const py::object& design) { return std::optional(overflow != 0 ? Amount {-1} : static_cast(v)); } -// A black-hole set argument: an Eligibility or None (its graph is checked by the call). -std::shared_ptr eligibility_or_none(const py::object& obj, const char* name) { - if (obj.is_none()) return nullptr; - if (!py::isinstance(obj)) { - throw py::type_error(std::string(name) + " must be an Eligibility or None (got " + - std::string(py::str(py::type::of(obj).attr("__name__"))) + ")"); - } - return obj.cast>(); -} - #if NETGRAPH_CORE_PRIVATE_HOOKS // The epoch state of a policy (roster, requested, +inf, per roster source the flows). diff --git a/bindings/python/hooks.cpp b/bindings/python/hooks.cpp index 55e08e9..8dad8b8 100644 --- a/bindings/python/hooks.cpp +++ b/bindings/python/hooks.cpp @@ -1,5 +1,5 @@ // The private hooks (NETGRAPH_CORE_PRIVATE_HOOKS builds only): the test controls of Python and -// native allocation failures, and the apportionment kernels. +// native allocation failures and of lowered forwarding size limits, and the apportionment kernels. #include #include #include @@ -7,13 +7,16 @@ #include "registration.hpp" #if NETGRAPH_CORE_PRIVATE_HOOKS +#include #include #include #include +#include #include #include #include +#include "netgraph/core/detail/forwarding.hpp" #include "netgraph/core/detail/route_kernels.hpp" #include "netgraph/core/detail/private_hooks.hpp" #include "netgraph/core/flow_policy.hpp" @@ -165,6 +168,48 @@ void register_private_hooks(py::module_& m) { py::arg("fn"), py::arg("args"), py::arg("k"), "private test hook: fn(*args) with the k-th native allocation failing -> (hit, seen, result, error, live)"); + m.def( + "_with_forwarding_limits", + [](const py::object& fn, const py::tuple& args, const py::object& limits) { + // Calls fn(*args) with this thread's forwarding size limits lowered (entry, occurrence, + // router, event, dependency; 0 keeps the contract's limit), then restores them. Returns + // (result or None, exception or None, the event structures the call's last forwarding + // allocated). + const auto w = wide_integers(limits, "limits"); + if (w.size() != 5) throw py::value_error("limits needs 5 entries (got " + std::to_string(w.size()) + ")"); + std::array lowered {}; + for (std::size_t i = 0; i < 5; ++i) { + if (!w.in(i, 0, detail::kForwardingLimit)) throw py::value_error("limits[" + std::to_string(i) + "] = " + w.text(i) + " is out of range"); + lowered[i] = w.value[i]; + } + auto& current = detail::thread_forwarding_limits(); + const auto saved = current; + current = lowered; + detail::thread_lossy_counters().event_structures = 0; + PyObject* r = PyObject_CallObject(fn.ptr(), args.ptr()); + current = saved; + py::object result = r != nullptr ? py::reinterpret_steal(r) : py::object(py::none()); + py::object error = py::none(); + if (r == nullptr) error = take_raised_exception(); + return py::make_tuple(result, error, detail::thread_lossy_counters().event_structures); + }, + py::arg("fn"), py::arg("args"), py::arg("limits"), + "private test hook: fn(*args) with the five forwarding size limits lowered (0: unchanged) ->\n" + "(result, error, event structures)"); + + m.def( + "_check_forwarding_count", + [](const py::object& counter, const py::object& n) { + // The forwarding sizes' counting step on one exact count (counter: entry 0, occurrence 1, + // router 2, event 3, dependency 4), under this thread's limits. + const auto c = integer_value(counter, 0, 4, "counter"); + const auto v = integer_value(n, 0, std::numeric_limits::max(), "n"); + detail::check_forwarding_count(static_cast(c), v); + }, + py::arg("counter"), py::arg("n"), + "private: the forwarding size check of one count (entry, occurrence, router, event, dependency:\n" + "0 to 4); raises the limit's ValueError above it"); + m.def( "_round_robin", [](const py::object& total, const py::object& k) { diff --git a/bindings/python/module.cpp b/bindings/python/module.cpp index 05d9ba9..dc85e46 100644 --- a/bindings/python/module.cpp +++ b/bindings/python/module.cpp @@ -2,7 +2,7 @@ Pybind11 module `_netgraph_core`: the graph on integer units with Eligibility and the unit conversions, the route structures (PredecessorDAG, Path), the route choice and placement axes, the ledger with its records, the forwarding programs, the policy engine with its configuration - and results, the ShortestPathCache, + and results, several policies' actions in one operation (apply_actions), the ShortestPathCache, the evaluators (evaluate_demand, evaluate_pairs, evaluate_edge_failures) and the public search (spf, ksp, resolve_to_paths); and one private entry: the flow core's _solve_min_cost_flow. A build with the private hooks (CMake NETGRAPH_CORE_PRIVATE_HOOKS: the editable development @@ -33,8 +33,9 @@ using namespace netgraph::core; PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { m.doc() = "NetGraph-Core: the graph on integer units, the route structures, the integer ledger, the forwarding\n" - "programs, the policy engine FlowPolicy, the ShortestPathCache, the evaluators (evaluate_demand,\n" - "evaluate_pairs, evaluate_edge_failures) and the searches (spf, ksp, resolve_to_paths).\n" + "programs, the policy engine FlowPolicy and its lists of actions (apply_actions), the ShortestPathCache,\n" + "the evaluators (evaluate_demand, evaluate_pairs, evaluate_edge_failures) and the searches (spf, ksp,\n" + "resolve_to_paths).\n" "One rule for the class of an input error, at every public entry: a type the position never takes\n" "(a bool at a numeric position, a float where only an integer is taken, a string, None where none\n" "is allowed, another class; for a vector a non-sequence, a nested entry, an array of another rank\n" @@ -64,6 +65,7 @@ PYBIND11_MODULE(_netgraph_core, m, py::mod_gil_not_used()) { bindings::register_placement_result(m); bindings::register_shortest_path_cache(m); bindings::register_flow_policy(m); + bindings::register_apply_actions(m); bindings::register_evaluators(m); bindings::register_paths(m); bindings::register_search(m); diff --git a/bindings/python/registration.hpp b/bindings/python/registration.hpp index fceeecc..48ba3af 100644 --- a/bindings/python/registration.hpp +++ b/bindings/python/registration.hpp @@ -31,6 +31,7 @@ void register_policy_config(pybind11::module_& m); // FlowPolicyConfig, Outp void register_placement_result(pybind11::module_& m); // Termination, SourceFlow, TunnelFlow, PlacementResult void register_shortest_path_cache(pybind11::module_& m); // ShortestPathCacheStats, ShortestPathCacheMiss, ShortestPathCache void register_flow_policy(pybind11::module_& m); // FlowPolicy +void register_apply_actions(pybind11::module_& m); // BatchMode, Place, Replace, Forward, apply_actions void register_evaluators(pybind11::module_& m); // evaluate_demand, evaluate_pairs, evaluate_edge_failures and their types void register_paths(pybind11::module_& m); // KspOptions, ksp, resolve_to_paths void register_search(pybind11::module_& m); // UNREACHABLE, SpfOptions, SpfResult, spf diff --git a/bindings/python/values.hpp b/bindings/python/values.hpp index 51f8718..d3de1ab 100644 --- a/bindings/python/values.hpp +++ b/bindings/python/values.hpp @@ -1,7 +1,8 @@ /* Small conversions shared by the registration files: read-only NumPy views that keep their owner alive, the resolution's check, exact counters, int64 arrays, FlowIds, - (EdgeId, units) pairs and the type checks of option arguments. + (EdgeId, units) pairs, amounts (checked at once or kept as given) and the type checks of option + arguments. */ #pragma once @@ -15,6 +16,7 @@ #include #include #include +#include #include #include #include @@ -22,6 +24,7 @@ #include #include +#include "netgraph/core/eligibility.hpp" #include "netgraph/core/flow_record.hpp" #include "netgraph/core/flow_policy.hpp" #include "netgraph/core/graph.hpp" @@ -242,6 +245,49 @@ inline std::optional units_or_inf(const py::object& value, const char* t return static_cast(v); } +// An amount kept as given (Units: an int or a float; None: absent): an action's offer and design +// demand, an EvaluationOptions option. A value of another type (a bool, a string, ...) raises +// TypeError here; its domain is the call's check. An __index__ object is kept as its int. +inline py::object units_as_given(const py::object& obj, const char* name) { + if (obj.is_none() || PyFloat_Check(obj.ptr()) || has_type(obj.ptr(), numpy_number_types().second)) { + return obj; + } + if (!is_bool(obj) && PyIndex_Check(obj.ptr())) { + auto idx = py::reinterpret_steal(PyNumber_Index(obj.ptr())); + if (!idx) throw py::error_already_set(); + return idx; + } + throw py::type_error(std::string(name) + " must be an int or a float (got " + + std::string(py::str(py::type::of(obj).attr("__name__"))) + ")"); +} + +// The C++ form of an amount kept as given: None absent; +inf the inner nullopt; an int in int64 its +// value; any other value (a float other than +inf, an int beyond int64) -1, which is outside every +// domain and so raises the amount's domain error in its place. +inline std::optional> units_at_use(const py::object& obj) { + if (obj.is_none()) return std::nullopt; + if (PyLong_Check(obj.ptr())) { + int overflow = 0; + const long long v = PyLong_AsLongLongAndOverflow(obj.ptr(), &overflow); + if (overflow != 0) return Amount {-1}; + return Amount {v}; + } + const double x = PyFloat_AsDouble(obj.ptr()); + if (x == -1.0 && PyErr_Occurred() != nullptr) throw py::error_already_set(); + if (std::isinf(x) && x > 0) return std::optional> {std::in_place, std::nullopt}; + return Amount {-1}; +} + +// A black-hole set argument: an Eligibility or None (its graph is checked by the call). +inline std::shared_ptr eligibility_or_none(const py::object& obj, const char* name) { + if (obj.is_none()) return nullptr; + if (!py::isinstance(obj)) { + throw py::type_error(std::string(name) + " must be an Eligibility or None (got " + + std::string(py::str(py::type::of(obj).attr("__name__"))) + ")"); + } + return obj.cast>(); +} + inline OutputOptions outputs_of(const py::object& obj) { if (obj.is_none()) return OutputOptions {}; if (!py::isinstance(obj)) { diff --git a/dev/cpp-tests.sh b/dev/cpp-tests.sh index 353d785..1f50ebb 100644 --- a/dev/cpp-tests.sh +++ b/dev/cpp-tests.sh @@ -26,6 +26,7 @@ cd "$(dirname "${BASH_SOURCE[0]}")/.." # compares no trace, and PolicyFixtures.ACorruptedExpectationFails corrupts only what that replay # compares (see flow_policy_fixture_tests.cpp's header). EXPECTED_OFF_SKIPS=" +ApplyActions.ForwardingSizesCountEveryParticipant FlowCoreDeletion.CheckpointsEqualTheIterativeUpdate FlowCoreDeletion.RerunningTheFailedSearchAddsExactlyOneSearch ForwardingSize.TheCallChecksEachCountInOrder diff --git a/dev/perf/README.md b/dev/perf/README.md index 33a68b5..bfa194d 100644 --- a/dev/perf/README.md +++ b/dev/perf/README.md @@ -319,7 +319,8 @@ failed. | `sensitivity` | `sens.exact`, `sens.policy_all_edges`, `sens.equal_global` | exact-model sensitivity; policy-model loss for every eligible edge; equal-source-allocation CentralizedTE, every edge solved afresh | | `pooled` | `pooled.{ecmp,lossy}.clos`, `pooled.from_dag.clos`, `pooled.from_dag_build.clos` | 8 demands of 8 pooled sources on one ledger, Lossless / Lossy above capacity; the same demands by Pinned over prebuilt `from_dag` programs, and building those programs | | `global` | `global.equal.random` | equal-source-allocation CentralizedTE capacity, 2 demands of 4 sources | -| `program` | `program.forward.global`, `program.replay.lossy`, `program.stale.lossy`, `program.replace.costonly` | forwarding programs: a CentralizedTE program forwarded, replayed under failures (Lossy), stale under black holes, ShortestPaths re-prepared by replace | +| `program` | `program.forward.global`, `program.replay.lossy`, `program.stale.lossy`, `program.replace.costonly`, `program.ring.lossy` | forwarding programs: a CentralizedTE program forwarded, replayed under failures (Lossy), stale under black holes, ShortestPaths re-prepared by replace; a 64-head program on a ring of 64 links whose 64 barriers form one cyclic group (6 rounds) | +| `batch` | `batch.{scalar,ordered,simultaneous}.clos`, `batch.simultaneous.ring` | several demands at once: the 8 pooled Lossy demands as 8 scalar `replace` calls, one ORDERED `apply_actions` list (the same work and digest) and one SIMULTANEOUS list (the joint evaluator; the demands share no link, so the same digest); the ring's 64 tunnels as 64 policies in one SIMULTANEOUS list (the same traffic amounts and digest as `program.ring.lossy`; 64 publishing policies against one, so a 2x operating budget that includes their per-policy bookkeeping) | | `t1` | `t1.setup.fabric`, `t1.forward.fabric` | T1 with 16 tunnels per head, 12 demands on one ledger: the setup with its holds; the installed programs forwarded under 32 offers | | `t2` | `t2.exact16.headroom`, `t2.exact16.cost`, `t2.upto256.headroom`, `t2.size.mesh` | T2 on the same fabric and demands: 16 tunnels per head with and without `prefer_headroom`, up to 256 with it; 16 tunnels for 10 heads on a 500-node mesh (2000 links, 5/8 to 8/8 free), sizing-dominated | | `msd` | `msd.loop` | the maximum-supported-demand bracket and bisection with a per-series DAG cache | diff --git a/dev/perf/aba_api.hpp b/dev/perf/aba_api.hpp index ca77343..37304bb 100644 --- a/dev/perf/aba_api.hpp +++ b/dev/perf/aba_api.hpp @@ -436,6 +436,126 @@ inline std::uint64_t pooled_place(const Graph& g, const std::vector, int>>& demands, double offer, Batch mode) { + const auto cfg = config(nc::ShortestPaths {}, Kernel::Lossy); + nc::FlowLedger fg(g.g); + std::vector> policies; + const auto units = nc::to_units(offer, kResolution); + for (const auto& [srcs, dst] : demands) { + const std::vector sv(srcs.begin(), srcs.end()); + const nc::NodeId tv[1] = {dst}; + policies.push_back(std::make_unique(fg, sv, tv, cfg)); + } + std::vector results; + if (mode == Batch::Scalar) { + for (auto& p : policies) results.push_back(p->replace(units)); + } else { + std::vector actions; + for (auto& p : policies) actions.push_back(nc::Replace {*p, units}); + results = nc::apply_actions(fg, actions, mode == Batch::Ordered ? nc::BatchMode::Ordered : nc::BatchMode::Simultaneous); + } + Digest d; + for (const auto& r : results) { + d.add_i(r.call_delivered); + nc::Amount drops = 0; + for (const auto& [e, x] : r.call_edge_drops) drops += x; + d.add_i(drops); + d.add_i(static_cast(r.call_edge_drops.size())); + for (const auto& row : r.by_source) { + d.add_i(row.source); + d.add(row.admitted.lo); + d.add_i(row.delivered); + d.add(row.source_drops.lo); + d.add(row.total_edge_drops.lo); + } + } + return d.h; +} + +// The ring: routers 0..63 with ring links i -> (i + 1) mod 64 of 3 units (EdgeIds 0..63), heads +// 64..127 with wide feeders head i -> router i, wide exits router i -> 128 (2^40 units each; built +// in units, not through a resolution). Tunnel i: its feeder, ring links i and i + 1, the exit of +// router i + 2. Every ring link carries two tunnels of 3 (load 6 > 3): 64 barriers in one cyclic +// group that settles at round 6, every head delivering 1. As one 64-head Pinned LOSSY program (one +// policy, replace(192): 3 per head) or as 64 one-tunnel Pinned LOSSY policies created in head +// order (one SIMULTANEOUS list of Replace(3) each), each on its own ledger, built once. +struct Ring { + std::shared_ptr g; + std::unique_ptr program_ledger; + std::unique_ptr list_ledger; + std::unique_ptr program; + std::vector> policies; +}; +inline std::shared_ptr ring_fixture() { + constexpr int n = 64; + constexpr nc::Amount wide = nc::Amount {1} << 40; + std::vector src; + std::vector dst; + std::vector units; + for (int i = 0; i < n; ++i) src.push_back(i), dst.push_back((i + 1) % n), units.push_back(3); + for (int i = 0; i < n; ++i) src.push_back(i), dst.push_back(2 * n), units.push_back(wide); + for (int i = 0; i < n; ++i) src.push_back(n + i), dst.push_back(i), units.push_back(wide); + auto ring = std::make_shared(); + ring->g = std::make_shared(2 * n + 1, src, dst, units, std::vector(src.size(), 1), kResolution); + const auto inv = ring->g->input_positions(); + std::vector id(inv.size()); + for (std::size_t e = 0; e < inv.size(); ++e) id[static_cast(inv[e])] = static_cast(e); + auto tunnel = [&](int i) { + const std::vector> hops = {{id[static_cast(2 * n + i)]}, {id[static_cast(i)]}, + {id[static_cast((i + 1) % n)]}, {id[static_cast(n + (i + 2) % n)]}}; + return nc::RouteDefinition {n + i, std::make_shared(*ring->g, hops), 1}; + }; + const nc::NodeId sink[1] = {2 * n}; + std::vector heads; + std::vector all; + for (int i = 0; i < n; ++i) heads.push_back(n + i), all.push_back(tunnel(i)); + ring->program_ledger = std::make_unique(ring->g); + ring->list_ledger = std::make_unique(ring->g); + auto pinned = [](std::shared_ptr prog) { + nc::FlowPolicyConfig cfg; + cfg.routing = nc::Pinned {std::move(prog), nullptr}; + cfg.admission = nc::Admission::Lossy; + return cfg; + }; + ring->program = std::make_unique(*ring->program_ledger, heads, sink, pinned(nc::ForwardingProgram::from_routes(*ring->g, heads, sink, all))); + for (int i = 0; i < n; ++i) { + const nc::NodeId h[1] = {n + i}; + const std::vector one = {tunnel(i)}; + ring->policies.push_back(std::make_unique(*ring->list_ledger, h, sink, pinned(nc::ForwardingProgram::from_routes(*ring->g, h, sink, one)))); + } + return ring; +} +// The digest of a ring forwarding: per head its delivery, then per ring link its carried load. +inline std::uint64_t ring_digest(const std::vector& delivered, std::span carried) { + Digest d; + for (auto x : delivered) d.add_i(x); + for (int e = 0; e < 64; ++e) d.add_i(carried[static_cast(e)]); + return d.h; +} +// One replace(192) of the ring's one program (a replace releases its own load: every iteration +// starts from the same state). +inline std::uint64_t ring_program(Ring& r) { + const auto res = r.program->replace(192); + std::vector delivered; + for (const auto& t : res.by_tunnel) delivered.push_back(t.delivered); + return ring_digest(delivered, r.program_ledger->carried()); +} +// One SIMULTANEOUS list of the 64 one-tunnel policies, Replace(3) each. +inline std::uint64_t ring_list(Ring& r) { + std::vector actions; + for (auto& p : r.policies) actions.push_back(nc::Replace {*p, 3}); + const auto res = nc::apply_actions(*r.list_ledger, actions, nc::BatchMode::Simultaneous); + std::vector delivered; + for (const auto& x : res) delivered.push_back(x.call_delivered); + return ring_digest(delivered, r.list_ledger->carried()); +} + // Pooled programs from supplied DAGs: per demand, ForwardingProgram::from_dag of its sources over // the reverse shortest-path DAG to its destination (trimmed to the sources' walks: their selected // supports, the DAG ShortestPaths Equal pools). diff --git a/dev/perf/aba_rows.hpp b/dev/perf/aba_rows.hpp index a50a9b9..2502b23 100644 --- a/dev/perf/aba_rows.hpp +++ b/dev/perf/aba_rows.hpp @@ -953,6 +953,50 @@ inline std::vector rows() { } return Iter([g, demands] { return abaapi::pooled_dag_build(*g, demands); }); }}); + // ---- several demands at once (apply_actions): the eight pooled Lossy demands above given 4,000 + // each, as eight scalar replace() calls (the reference), as one ORDERED list (the same work: an + // equal digest, budget +3 %) and as one SIMULTANEOUS list (every pooled demand forwarded by the + // joint evaluator at once, budget 2x the ORDERED list; the demands share no link, so its digest + // equals too). + auto batch_row = [](abaapi::Batch mode) { + auto g = std::make_shared(abaapi::build(gen_clos(64, 32, 22))); + std::vector, int>> demands; + for (int j = 0; j < 8; ++j) { + std::vector srcs; + for (int i = 0; i < 8; ++i) srcs.push_back(8 * j + i); + demands.push_back({srcs, (8 * j + 36) % 64}); + } + return Iter([g, demands, mode] { return abaapi::batch_place(*g, demands, 4000.0, mode); }); + }; + r.push_back({"batch.scalar.clos", "batch", + "the eight pooled Lossy demands of pooled.lossy.clos on a fresh ledger, then eight scalar replace(4000) " + "calls (the reference of the list rows)", + [=] { return batch_row(abaapi::Batch::Scalar); }}); + r.push_back({"batch.ordered.clos", "batch", + "the same construction, then one ORDERED apply_actions of the eight Replace(4000): the scalar calls' work " + "on a working state, one publication (digest equal to batch.scalar.clos)", + [=] { return batch_row(abaapi::Batch::Ordered); }}); + r.push_back({"batch.simultaneous.clos", "batch", + "the same construction, then one SIMULTANEOUS apply_actions of the eight Replace(4000): every program " + "prepared on one view and forwarded at once by the joint loss evaluator (the demands share no link)", + [=] { return batch_row(abaapi::Batch::Simultaneous); }}); + // The ring (abaapi::ring_fixture): 64 barriers in one cyclic group settling at round 6, as one + // program (the reference) and as a SIMULTANEOUS list of its 64 tunnels (equal traffic amounts and + // digests; the list has 64 publishing policies rather than one, with a 2x operating budget). + r.push_back({"program.ring.lossy", "program", + "one Pinned Lossy replace(192) of a 64-head program on a ring of 64 links of 3 units, each tunnel over two " + "consecutive links: 64 barriers in one cyclic group, 6 rounds", + [] { + auto ring = abaapi::ring_fixture(); + return Iter([ring] { return abaapi::ring_program(*ring); }); + }}); + r.push_back({"batch.simultaneous.ring", "batch", + "the same ring as 64 one-tunnel Pinned Lossy policies, one SIMULTANEOUS apply_actions of Replace(3) each: " + "the same 64 barriers and 6 rounds across 64 demands (digest equal to program.ring.lossy)", + [] { + auto ring = abaapi::ring_fixture(); + return Iter([ring] { return abaapi::ring_list(*ring); }); + }}); r.push_back({"global.equal.random", "global", "evaluate_demand() of CentralizedTE with the equal source allocation, random 1024 x6, 2 demands of 4 sources (the bisection's " "probe solves and the final solve)", diff --git a/dev/perf/test_tool.py b/dev/perf/test_tool.py index 04b4fa8..c3b1d7f 100644 --- a/dev/perf/test_tool.py +++ b/dev/perf/test_tool.py @@ -3121,7 +3121,7 @@ def test_list(self): self.assertEqual(proc.returncode, 0, proc.stderr) rows = aba.row_list(proc.stdout.encode(), "aba-list") real = {k: v for k, v in rows.items() if not k.startswith("test.")} - self.assertEqual(len(real), 65) + self.assertEqual(len(real), 70) sums = sha256sums(HERE / "queries") lists = {} for name in sums: @@ -3155,13 +3155,32 @@ def test_blocks(self): real = [row for row in listed if not row.startswith("test.")] with concurrent.futures.ThreadPoolExecutor(os.cpu_count() or 1) as pool: procs = list(pool.map(lambda row: self.harness("aba-run", row, "1"), real)) - self.assertEqual(len(procs), 65) + self.assertEqual(len(procs), 70) for row, proc in zip(real, procs, strict=True): self.assertEqual(proc.returncode, 0, (row, proc.stderr)) self.assertEqual( aba.parse_block(proc.stdout.encode(), row, row)["iterations"], 1 ) + def test_list_rows_equal_their_references(self): + # an ORDERED list does the scalar calls' work (the same digest), and the ring's list gives + # the one program's amounts (64 policies against one: not the same work, the same digest); + # the eight Clos demands share no link (their own + # sources, destination and spine links), so the SIMULTANEOUS list's joint evaluation of + # pooled demands gives the kernel's amounts too + def digest(row): + proc = self.harness("aba-run", row, "1") + self.assertEqual(proc.returncode, 0, (row, proc.stderr)) + return aba.parse_block(proc.stdout.encode(), row, row)["digest"] + + self.assertEqual(digest("batch.ordered.clos"), digest("batch.scalar.clos")) + self.assertEqual( + digest("batch.simultaneous.ring"), digest("program.ring.lossy") + ) + self.assertEqual( + digest("batch.simultaneous.clos"), digest("batch.ordered.clos") + ) + def test_memory_does_not_grow_with_the_count(self): # the per-iteration bookkeeping is allocated before the setup and does not grow: the # peak of a block of 2,000,000 iterations is that of a block of 1,000 (keeping every diff --git a/dev/pytest_guard.py b/dev/pytest_guard.py index 090d30d..d44ed70 100644 --- a/dev/pytest_guard.py +++ b/dev/pytest_guard.py @@ -235,6 +235,15 @@ ( "tests/py/test_centralized_te_tunnels.py::test_t2_results_survive_python_allocation_failures[replace]" ), + "tests/py/test_apply_actions.py::test_forwarding_bounds", + "tests/py/test_apply_actions.py::test_lists_are_all_or_nothing", + "tests/py/test_contract_examples.py::test_contract_example[ERR-forwarding-limit]", + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[apply_actions.ordered]" + ), + ( + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[apply_actions.simultaneous]" + ), ] EXPECTED_OFF_SKIPPED_PREFIX = "tests/py/test_flow_policy_fixtures.py::test_fixture[" diff --git a/dev/stubs/overrides.pyi b/dev/stubs/overrides.pyi index 3620420..f5a52e1 100644 --- a/dev/stubs/overrides.pyi +++ b/dev/stubs/overrides.pyi @@ -567,6 +567,67 @@ class FlowPolicy: self, flow_id: tuple[typing.SupportsIndex, typing.SupportsIndex] ) -> FlowRecord: ... +class Place: + # reason: policy is a FlowPolicy; offer is integer units or a float (a NumPy floating value too), kept as given + # generated: def __init__(self, policy: typing.Any, offer: typing.Any) -> None: + def __init__( + self, policy: FlowPolicy, offer: typing.SupportsIndex | float | numpy.floating + ) -> None: ... + # reason: the offer as given, an int or a float + # generated: def offer(self) -> typing.Any: + @property + def offer(self) -> int | float: ... + # reason: the FlowPolicy given + # generated: def policy(self) -> typing.Any: + @property + def policy(self) -> FlowPolicy: ... + +class Replace: + # reason: policy is a FlowPolicy; offer and design_demand are integer units or a float (a NumPy floating value too), kept as given; design_demand may be None + # generated: def __init__(self, policy: typing.Any, offer: typing.Any, *, design_demand: typing.Any = None) -> None: + def __init__( + self, + policy: FlowPolicy, + offer: typing.SupportsIndex | float | numpy.floating, + *, + design_demand: typing.SupportsIndex | float | numpy.floating | None = None, + ) -> None: ... + # reason: the design as given, an int or a float, or None + # generated: def design_demand(self) -> typing.Any: + @property + def design_demand(self) -> int | float | None: ... + # reason: the offer as given, an int or a float + # generated: def offer(self) -> typing.Any: + @property + def offer(self) -> int | float: ... + # reason: the FlowPolicy given + # generated: def policy(self) -> typing.Any: + @property + def policy(self) -> FlowPolicy: ... + +class Forward: + # reason: policy is a FlowPolicy; offer is integer units or a float (a NumPy floating value too), kept as given; black_holes may be None + # generated: def __init__(self, policy: typing.Any, offer: typing.Any, *, black_holes: typing.Any = None) -> None: + def __init__( + self, + policy: FlowPolicy, + offer: typing.SupportsIndex | float | numpy.floating, + *, + black_holes: Eligibility | None = None, + ) -> None: ... + # reason: the Eligibility given, or None + # generated: def black_holes(self) -> typing.Any: + @property + def black_holes(self) -> Eligibility | None: ... + # reason: the offer as given, an int or a float + # generated: def offer(self) -> typing.Any: + @property + def offer(self) -> int | float: ... + # reason: the FlowPolicy given + # generated: def policy(self) -> typing.Any: + @property + def policy(self) -> FlowPolicy: ... + class EvaluationOptions: # reason: eligibility, cache, outputs, design_demand and offer may be None; design_demand and offer are integer units or a float, kept as given # generated: def __init__(self, config: FlowPolicyConfig, *, eligibility: Eligibility = None, cache: ShortestPathCache = None, outputs: typing.Any = None, design_demand: typing.Any = None, offer: typing.Any = None) -> None: @@ -727,6 +788,16 @@ def evaluate_pairs( workers: typing.SupportsIndex | None = None, ) -> list[PlacementResult]: ... +# reason: ledger is a FlowLedger; actions a sequence of Place, Replace and Forward; mode a BatchMode; outputs may be None (TypeError otherwise) +# generated: def apply_actions(ledger: typing.Any, actions: typing.Any, *, mode: typing.Any = ..., outputs: typing.Any = None) -> list[PlacementResult]: +def apply_actions( + ledger: FlowLedger, + actions: collections.abc.Sequence[Place | Replace | Forward], + *, + mode: BatchMode = ..., + outputs: OutputOptions | None = None, +) -> list[PlacementResult]: ... + # reason: sources and destinations are node sets; options is EvaluationOptions (TypeError otherwise) # generated: def evaluate_demand(graph: Graph, sources: typing.Any, destinations: typing.Any, options: typing.Any) -> typing.Any: def evaluate_demand( diff --git a/docs/semantics.md b/docs/semantics.md index 28b9064..1af5904 100644 --- a/docs/semantics.md +++ b/docs/semantics.md @@ -148,12 +148,14 @@ separate kind of number: positive integers that are never converted. one of `entry`, `occurrence`, `router`, `event`, `dependency`; `` the exact count). The entry, occurrence and router limits are checked after validation and before the network is allocated; the event and dependency limits, known only after the no-drop loads, before the - event structures are allocated. Either refusal changes nothing. Identities are + event structures are allocated. Either refusal changes nothing. A list of several demands + ([several demands at once](#several-demands-at-once)) counts its one joint network, every + participant together. Identities are never reused: a ledger issues at most `2^63 - 1` policy identifiers and `2^63 - 1` FlowId counters, and the process at most `2^63 - 1` identities shared by graphs, ledgers and masks (0, the all-allowed mask's, is never issued); the next one raises `RuntimeError('policy identity limit exceeded')`, `RuntimeError('record identity limit exceeded')` (a publication's new records - counted together) or `RuntimeError('object identity limit exceeded')` before anything changes. + counted together, a list's included) or `RuntimeError('object identity limit exceeded')` before anything changes. - **Domain.** Every edge capacity, and the sum of all capacities, is below `2^62` units. Edge costs are integers of at least 1 and their sum is below `2^62`, so no path cost reaches the sentinel `UNREACHABLE` (the largest `int64`). An offer is an integer in `[0, 2^62)` units or @@ -586,8 +588,8 @@ not fit. - **Lossy forwarding** (`ShortestPaths` with `WEIGHTED` or `EQUAL`, T1, T2 and `Pinned`). Each call's offer is split at every node by the allocation's rule; each edge carries the smaller of what reaches it and its residual, and the rest is dropped on that edge (where several routes of - one program meet on an edge, [the loss rule](#losses-inside-one-program) divides what it - carries). The delivery is what reaches the destination set. A share that has no edge to go on (a + one program, or of several demands forwarded together, meet on an edge, [the loss + rule](#losses-on-shared-edges) divides what it carries). The delivery is what reaches the destination set. A share that has no edge to go on (a `WEIGHTED` node whose members all have weight 0) is lost where it is: at a source it is a source drop (`source_drops`). Records keep `offered`, `delivered` and per-edge `edge_drops`. Lossy calls are independent: nothing is offered again and two calls are not equivalent to one. An infinite @@ -770,7 +772,9 @@ volume, take whole offers only). `evaluate`, `replace` and `forward` ask for a w instead (only computed, published, or forwarded over the routes already installed). `remove()` takes all of its traffic back out. A demand with several sources is one demand, not several: how its traffic enters at the sources is its **source allocation**, and where the routes of its -sources meet, their traffic is added and split once. +sources meet, their traffic is added and split once. Several policies of one ledger can act in one +operation, `apply_actions`: one after another, or all at the same time with their losses shared +([several demands at once](#several-demands-at-once)). ### Configuration @@ -1194,8 +1198,9 @@ means none). Nothing is pruned, re-split or reweighted: every router keeps its m weights and applies the program's whole-unit rule to the traffic that actually arrives. A black-holed edge carries nothing (all that arrives is dropped there); a black-holed node acts the same on every edge entering it; a black-holed source loses its own share as a source drop. Lossy -runs the loss rule below with those edges serving 0; Lossless admits only totals that put nothing -on a black hole. A tunnel that is up but whose path reaches a black hole is `BLACKHOLED` in +drops what reaches a black hole where it arrives: it takes no part in sharing an edge (the loss +rule below) and makes no edge wait. Lossless admits only totals that put nothing on a black hole +(a black-holed edge serves 0). A tunnel that is up but whose path reaches a black hole is `BLACKHOLED` in `by_tunnel`, its traffic dropped at the first black hole on its path. The policy's Eligibility applies first: an element both excluded and black-holed is excluded. A down tunnel keeps its setup status. A program forwarded by `Pinned` books no hold, whatever its producer. @@ -1273,19 +1278,24 @@ another policy's mask; on a shared ledger, the old owner is removed or replaced replacement is modelled, since a new policy is a different demand that does not release the old one's traffic or holds. -### Losses inside one program - -Where several entries of one program meet on an edge that cannot carry them all (Lossy), the -edge carries `T = min(free capacity, sum of arrivals)` and divides it by highest averages: first -over the heads by what each head's traffic brings, then within a head over its entries by their -arrivals. Each part continues with its share; the rest is dropped on that edge. The whole program -is evaluated at once: forwarded first without drops, an edge whose load fits can never drop and -waits for nothing; every other shared edge waits for all its possible arrivals, and the edges are -evaluated in dependency order (the order of independent edges does not change the result). -Splitting an edge into two in series with the same capacity changes nothing. +### Losses on shared edges + +Where traffic meets on an edge that cannot carry it all (Lossy), the edge carries `T = min(free +capacity, sum of arrivals)` and divides it by highest averages, level by level: first over the +demands by what each demand's traffic brings (one program is one demand; in a SIMULTANEOUS list +each policy is a demand, ties to the one created first), then within a demand over its heads, then +within a head over its entries by their arrivals. Each part continues with its share; the rest is +dropped on that edge. A pooled `ShortestPaths` demand (several sources whose routes meet) splits +its total once at each router, and each member's amount is shared among the sources by highest +averages over what each source still brings. Every demand is evaluated at once: forwarded first +without drops, an edge whose load fits can never drop and waits for nothing; every other shared +edge waits for all its possible arrivals, and the edges are evaluated in dependency order (the +order of independent edges does not change the result). Splitting an edge into two in series with +the same capacity changes nothing. Traffic that reaches its own demand's black hole is dropped +there and takes no part in the sharing. When edges wait on each other in a cycle (one tunnel meets edge X before Y, another Y before X, -and both can drop), only that group is recalculated, round by round, from nothing carried, until +and both can drop; the tunnels may belong to different demands), only that group is recalculated, round by round, from nothing carried, until a round gives back exactly what went in; the answer is checked independently against the rule before anything is published. A group that alternates between two states raises `ValueError("lossy forwarding iteration entered a period-2 cycle")`; one that does not settle @@ -1964,6 +1974,87 @@ After 12 units the cheap path (cost 2) is full and the solve stopped below the m is no cut; `saturated_boundary_edges` already reports the full edge 0. The second call adds 3 units at cost 4 and reaches the maximum of 15, at a total cost of 10 x 2 + 5 x 4 = 40. +### Several demands at once + + apply_actions(ledger, actions, *, mode=BatchMode.ORDERED, outputs=None) -> list[PlacementResult] + Place(policy, offer) + Replace(policy, offer, *, design_demand=None) + Forward(policy, offer, *, black_holes=None) + +`apply_actions` runs the actions of several policies of one ledger as one operation and returns +one `PlacementResult` per action, in input order, each with the fields of that policy's scalar +call (`place`, `replace` or `forward`). The whole list is validated first and published once: if +anything fails, the ledger and every policy are as they were. A policy appears at most once, and +every policy belongs to `ledger`. An action is an immutable value that keeps its policy (and its +black holes) alive; its offer and design demand are kept as given (an int or a float: another type +raises `TypeError` when the action is built), and the call checks their domain. + +- **`BatchMode.ORDERED`** runs each action in list order exactly as its scalar call would, on the + state the earlier actions left (their traffic and their holds); the policies not reached yet keep + their old state. Normal outcomes (exhaustion, source drops, a down tunnel) are kept. Earlier + actions are served first: on one edge of 10, an ECMP replace of 10 and then a T1 tunnel's replace of 10 + deliver 10 and 0, though the tunnel holds its 10, because a hold reserves setup bandwidth, not + service. New records take FlowIds in list order. +- **`BatchMode.SIMULTANEOUS`** forwards every action at the same time on fixed routes, the losses + shared across the demands by [the loss rule](#losses-on-shared-edges). It takes `Replace` of + `ShortestPaths` `EQUAL` or `WEIGHTED` (its routes prepared on the list's view) and of `Pinned`, + and `Forward` of any policy with an installed program; every participant is LOSSY with a finite + offer. Controllers compute nothing here and T1 sets nothing up: prepare them first (scalar calls + or an ORDERED list), then forward them; a T1 owner keeps its holds. The view is the residual + plus every participant's old traffic, released together: owners outside the list and orphans + stay as fixed load, and holds are never added. Repeating a list with the same outside load gives + the same state, and permuting it changes nothing. Each participant's black holes are its own: + what reaches one is dropped there and takes no part in sharing that edge, while the others share + it as usual. Removing a participant later frees only its own traffic; the others do not + rebalance until they are forwarded again. +- **Outputs.** `outputs` applies to every entry. `residual` and `saturated_boundary_edges` read the + ledger after that action (ORDERED) or after the whole list (SIMULTANEOUS: one residual for every + entry, each entry's boundary from its own sources and Eligibility). +- **Validation, in this order:** the arguments' types (`TypeError`: `ledger must be a FlowLedger`, + `actions must be a sequence of Place, Replace or Forward (got )`, `actions[] must be a + Place, Replace or Forward (got )`, `mode must be a BatchMode (got )`, `outputs must be + an OutputOptions (got )`); the mode's value (`mode: is not a value of BatchMode`); an + empty list returns `[]`; then each action in list order, all of its checks before the next + action's: `list policy belongs to another ledger`, `duplicate policy in list`, the SIMULTANEOUS + rules (`SIMULTANEOUS does not accept Place`, `SIMULTANEOUS Replace requires ShortestPaths EQUAL or + WEIGHTED, or Pinned`, `SIMULTANEOUS requires admission=LOSSY`, `SIMULTANEOUS requires finite + offers`), then the scalar call's own checks in their order. Only then is anything computed. An + error of the computation (a loss cycle that does not settle, a solver or forwarding size limit, + an allocation failure) publishes nothing. + +```python +# Two ECMP demands of 10 on one edge of 10, at the same time and one after the other. +g = graph(2, [(0, 1, 10, 1)]) +ecmp = ngc.FlowPolicyConfig(routing=ngc.ShortestPaths(), admission=ngc.Admission.LOSSY) +for mode in (ngc.BatchMode.SIMULTANEOUS, ngc.BatchMode.ORDERED): + led = ngc.FlowLedger(g) + a = ngc.FlowPolicy(led, 0, 1, ecmp) + b = ngc.FlowPolicy(led, 0, 1, ecmp) + res = ngc.apply_actions(led, [ngc.Replace(a, 10), ngc.Replace(b, 10)], mode=mode) + print(mode.name, [r.call_delivered for r in res], [r.call_edge_drops for r in res]) + +# Edges 0: 0 -> 2 of 5, 1: 1 -> 2 of 10, 2: 2 -> 3 of 10; a from 0 and b from 1, 5 each. +g = graph(4, [(0, 2, 5, 1), (1, 2, 10, 1), (2, 3, 10, 1)]) +led = ngc.FlowLedger(g) +a, b = (ngc.FlowPolicy(led, s, 3, ecmp) for s in (0, 1)) +out = ngc.OutputOptions(residual=True, saturated_boundary_edges=True) +for r in ngc.apply_actions(led, [ngc.Replace(a, 5), ngc.Replace(b, 5)], + mode=ngc.BatchMode.SIMULTANEOUS, outputs=out): + print(r.call_delivered, r.residual.tolist(), r.saturated_boundary_edges) +``` + +```text +SIMULTANEOUS [5, 5] [[(0, 5)], [(0, 5)]] +ORDERED [10, 0] [[], [(0, 10)]] +5 [0, 5, 0] [0] +5 [0, 5, 0] [2] +``` + +At the same time the edge shares its 10 between the two demands; one after the other the first +takes it all. In the second list both entries report the residual after the whole list, and each +its own boundary: a's source reaches nothing beyond its full edge 0, b's reaches node 2, whose exit +is full. + ## 8. Failures, threads and lifetimes **In plain words.** A call either does everything or changes nothing: if it fails, for any @@ -1985,7 +2076,7 @@ threads; ledgers, policies and building caches have one writer at a time. which do not all check for failure. A memory failure at exactly that point may crash the process instead of raising. Library state is never left half-changed by it. The results of `spf`, `ksp`, `resolve_to_paths`, `ForwardingProgram.from_routes` and `from_dag`, `FlowPolicy.place`, - `evaluate`, `replace` and `forward`, `evaluate_demand`, `evaluate_pairs` and + `evaluate`, `replace` and `forward`, `apply_actions`, `evaluate_demand`, `evaluate_pairs` and `evaluate_edge_failures` are built through a checked path and stay inside the guarantee, and so is every read of a field or property and every `repr` of the library's values (the configuration values and their enumerations, `FlowPolicy.config`, `program`, `plan`, `by_source`, `by_tunnel`, @@ -2006,9 +2097,10 @@ threads; ledgers, policies and building caches have one writer at a time. the graph, ledger, Eligibility and cache alive while a policy needs them. - **Immutable values.** The configuration values (`FlowPolicyConfig`, the four models, `TunnelCount`, `AbsoluteCost`, `CostStretch`, `OutputOptions`, `EvaluationOptions`, - `RouteDefinition`) and the search options (`SpfOptions`, `KspOptions`) have read-only fields: - no option object changes after it is built. A policy validates its configuration once and keeps - that snapshot (`policy.config`); an evaluator validates and copies its options at call entry. + `RouteDefinition`), the search options (`SpfOptions`, `KspOptions`) and the actions of a list + (`Place`, `Replace`, `Forward`) have read-only fields: no option object changes after it is + built. A policy validates its configuration once and keeps that snapshot (`policy.config`); an + evaluator validates and copies its options at call entry, and `apply_actions` its actions. - **Exception classes.** One rule for the class of an input error, at every public entry (constructors, search options, call arguments, evaluator options): a Python type the position never takes is a `TypeError` (a bool, Python's or `numpy.bool_`, at any numeric position; a float @@ -2315,7 +2407,7 @@ self-contained: | `netgraph/core/search.hpp` | `spf`, `ksp`, `resolve_to_paths`, `SpfOptions`, `SpfResult`, `KspOptions`, `SpfQueue` | | `netgraph/core/flow_record.hpp` | `FlowId`, `Counter128` (the 128-bit cumulative counter), `FlowRecord` | | `netgraph/core/flow_ledger.hpp` | `FlowLedger` | -| `netgraph/core/flow_policy.hpp` | `FlowPolicy`, its configuration (`FlowPolicyConfig`, `ShortestPaths`, `DistributedTE`, `CentralizedTE`, `Pinned`, `TunnelCount`, `OutputOptions`) and result types (`PlacementResult`, `SourceFlow`, `TunnelFlow`, `TunnelPlan`), `Termination` | +| `netgraph/core/flow_policy.hpp` | `FlowPolicy`, its configuration (`FlowPolicyConfig`, `ShortestPaths`, `DistributedTE`, `CentralizedTE`, `Pinned`, `TunnelCount`, `OutputOptions`) and result types (`PlacementResult`, `SourceFlow`, `TunnelFlow`, `TunnelPlan`), `Termination`; the lists: `apply_actions`, `BatchMode`, `Place`, `Replace`, `Forward`, `Action` | | `netgraph/core/shortest_path_cache.hpp` | `ShortestPathCache`, `ShortestPathCacheMiss` | | `netgraph/core/evaluators.hpp` | `evaluate_demand`, `evaluate_pairs`, `evaluate_edge_failures`, `EvaluationOptions`, `SensitivityEntry`, `SensitivityResult` | @@ -2338,4 +2430,7 @@ a null `std::shared_ptr` (`edge_weights` is a shared array, `std::shared_ptr>`). `CentralizedTE` has no default constructor: it is built from its `SourceAllocation`. The epoch's amounts are `Counter128` values. A Python `ValueError` is a `std::invalid_argument` in C++. `spf` takes a trailing C++-only `SpfQueue` argument that chooses -the search's internal queue; the results never depend on it. +the search's internal queue; the results never depend on it. `apply_actions` takes a +`std::span`, where `Action` is a `std::variant` whose +values borrow their policy (a `std::reference_wrapper`) and black holes (a `const +Eligibility*`, null for none), which must outlive the call. diff --git a/include/netgraph/core/detail/forwarding.hpp b/include/netgraph/core/detail/forwarding.hpp index a417599..3227f29 100644 --- a/include/netgraph/core/detail/forwarding.hpp +++ b/include/netgraph/core/detail/forwarding.hpp @@ -16,15 +16,19 @@ Lossless: the largest total in an interval whose no-drop loads fit the free capacity with no share lost at a source or on a black hole; the loads are monotone in the total (round robin and highest averages are house-monotone), so integer bisection is exact. - Lossy ("Losses inside one program"): the one evaluator of the loss rule. A link that receives - more than its free capacity V shares T = min(V, arrivals) by highest averages over the sources' arrivals, then within a - source over its entries'; A+ forwards the no-drop loads U0 first, makes every link with - U0 <= V a pass-through and evaluates the other links (barriers) and the split routes' routers - once each in dependency order; barriers that wait on each other in a cycle are iterated from - zero (serial normalization first, then rounds, 64 b rounds for b barriers, the period-two - and round-limit errors, the independent check of the whole result before anything is - returned). A pooled program (one split context: a ShortestPaths program, one supplied split route) - is forwarded by its plan's kernels, which are this rule for one acyclic context. + Lossy ("Losses on shared edges", "Several demands at once"): the one evaluator of the loss + rule, for one program or several demands at once (a SIMULTANEOUS list). A link that receives + more than its free capacity V shares T = min(V, arrivals) by highest averages over the demands' + arrivals (in their creation order), then within a demand over its sources', then within a source + over its entries'; A+ forwards the no-drop loads U0 first, makes every link with U0 <= V a + pass-through and evaluates the other links (barriers) and the split routes' routers once each in + dependency order; barriers that wait on each other in a cycle are iterated from zero (serial + normalization first, then rounds, 64 b rounds for b barriers, the period-two and round-limit + errors, the independent check of the whole result before anything is returned). What reaches a + black hole of its own demand is dropped there and makes no barrier (b counts physical links). A + pooled program (one split context: a ShortestPaths program, one supplied split route) called + alone is forwarded by its plan's kernels, which are this rule for one acyclic context; in a list + it joins the evaluator with one amount per source on each member. */ #pragma once @@ -188,15 +192,32 @@ void source_offer_increments(const ForwardingView& view, const Counter128& X, Am [[nodiscard]] ProgramFlow lossless(const ForwardingView& view, const AvailableCapacityFn& free, Amount lo, std::optional hi); // Lossy: the loss rule over per-head injections (aligned with the view's heads) on `free`. [[nodiscard]] ProgramFlow lossy(const ForwardingView& view, const AvailableCapacityFn& free, std::span injections); +// One demand of a joint forwarding (a SIMULTANEOUS list's participant): its view and its per-head +// injections (aligned with the view's heads). +struct ForwardingDemand { + const ForwardingView* view {nullptr}; + std::span injections {}; +}; +// Lossy over several demands at once on one shared `free` (the loss rule with its demand level: +// the demands in the given order, their policies' creation order; the cycle rule across them): one +// ProgramFlow per demand. +// Each demand's black holes are its own (dark occurrences). One non-pooled demand is lossy()'s own +// evaluation; a pooled demand joins as a context with per-head amounts. +[[nodiscard]] std::vector lossy(std::span demands, const AvailableCapacityFn& free); #if NETGRAPH_CORE_PRIVATE_HOOKS // Test controls (hooks builds only): how many cyclic groups the last lossy() on this thread -// iterated and its rounds; a corruption of the iterated result before its check (the check's -// planted fault: RuntimeError expected). +// iterated and its rounds; how many times it sized the event structures (after the event and +// dependency counts passed); two corruptions of the iterated result before its check (the check's +// planted faults, RuntimeError expected): `corrupt` lowers one carried amount after the rounds, +// `shift` moves one unit between two occurrences of one barrier before the final forwarding (every +// continuation consistent, only that link's loss rule wrong). struct LossyCounters { std::int64_t groups {0}; std::int64_t rounds {0}; + std::int64_t event_structures {0}; bool corrupt {false}; + bool shift {false}; }; LossyCounters& thread_lossy_counters() noexcept; // Lower limits for this thread's forwardings, per ForwardingCounter (0: kForwardingLimit), so a diff --git a/include/netgraph/core/detail/ledger_access.hpp b/include/netgraph/core/detail/ledger_access.hpp index 47fc43a..9852462 100644 --- a/include/netgraph/core/detail/ledger_access.hpp +++ b/include/netgraph/core/detail/ledger_access.hpp @@ -26,6 +26,13 @@ struct RecordDraft { FlowRecord record {}; }; +// One owner's part of a batch exchange (LedgerAccess::commit_batch). +struct OwnerDrafts { + std::int64_t owner {0}; + std::span drafts {}; + bool retire {false}; +}; + // The saturation diagnostic of FlowLedger::saturated_boundary_edges on a given residual (the sources already a // validated set): the edges (statically eligible, capacity >= 1 unit) leaving the set reachable // from the allowed sources over eligible forward arcs with residual >= 1 unit, ascending EdgeId. @@ -56,6 +63,12 @@ struct LedgerAccess { static std::vector exchange(FlowLedger& ledger, std::int64_t owner, std::span drafts); // commit (retire false) and exchange (retire true). static std::vector commit_drafts(FlowLedger& ledger, std::int64_t owner, std::span drafts, bool retire); + // One atomic exchange for several distinct owners (apply_actions): each owner's drafts with + // commit's (retire false) or exchange's (retire true) rule, the aggregates checked once over + // every owner, the new ids counted for the whole batch first and assigned in owner order, then + // draft order. Throws (and changes nothing) as commit does. `created` (one per owner) receives + // each owner's new FlowIds; the drafts' vectors are moved from. + static void commit_batch(FlowLedger& ledger, std::span owners, std::span> created); // A live record by id (throws std::invalid_argument for an unknown or retired id). [[nodiscard]] static const FlowRecord& live(const FlowLedger& ledger, std::int64_t id); // The working residual service baseline - carried() into `out` (resized to E). diff --git a/include/netgraph/core/flow_policy.hpp b/include/netgraph/core/flow_policy.hpp index f7992b0..4d16885 100644 --- a/include/netgraph/core/flow_policy.hpp +++ b/include/netgraph/core/flow_policy.hpp @@ -2,6 +2,7 @@ #pragma once #include +#include #include #include #include @@ -400,4 +401,62 @@ class FlowPolicy { std::unique_ptr engine_; }; +// ---------------------------------------------------------------- several demands at once + +// How apply_actions runs its list: Ordered, each action as its scalar call on the state the earlier +// ones left; Simultaneous, every action forwarded at once with the loss rule across demands. +enum class BatchMode { Ordered, Simultaneous }; + +// The actions of a list. Offers are as in FlowPolicy::place (nullopt: +inf); Replace's design demand +// as in FlowPolicy::replace (outer nullopt absent, inner nullopt +inf); Forward's black holes an +// Eligibility of the policy's graph or null. They borrow the policy and the black holes, which must +// outlive the call. +struct Place { + std::reference_wrapper policy; + std::optional offer; +}; +struct Replace { + std::reference_wrapper policy; + std::optional offer; + std::optional> design_demand {}; +}; +struct Forward { + std::reference_wrapper policy; + std::optional offer; + const Eligibility* black_holes {nullptr}; +}; +using Action = std::variant; + +// Several policies of one ledger in one operation, validated whole, then computed, then published +// once (one atomic exchange of every policy's records, then their epochs): an exception leaves the +// ledger and every policy unchanged. Results in list order, each the scalar call's fields for its +// policy. +// +// Ordered: each action runs in list order on a private working state (the ledger's carried loads and +// holds as the earlier actions left them) exactly as its scalar call would; its outputs (residual, +// saturated_boundary_edges) read the state after it; new records take FlowIds in list order, then in +// each call's draft order. Simultaneous: Replace of ShortestPaths Equal or Weighted (its program +// prepared on the view) and of Pinned, Forward of any policy with an installed program, every one +// Lossy with a finite offer, forwarded at once on one view (the ledger's residual plus every +// participant's old carried load; outside owners and orphans fixed, holds never added) by the loss +// rule across demands: at a link that cannot carry its arrivals, highest averages over the demands +// (ties by policy creation order, not list position), then within a demand over its sources, then +// its entries; a pooled ShortestPaths demand splits once at each router and attributes each member's +// amount to its sources; each participant's black holes are its own (what reaches one is dropped +// there); losses that wait on each other in a cycle across demands are iterated as for one program, +// with its two errors. Every entry reports the one residual after the list and its own +// saturated_boundary_edges on it. An empty list returns nothing after checking the ledger and mode. +// +// Validation (std::invalid_argument, before anything is computed): the ledger (a moved-from one: +// std::logic_error), `mode` a BatchMode value (`mode: is not a value of BatchMode`); then each +// action in list order, all of its checks before the next one's: `list policy belongs to another +// ledger`; `duplicate policy in list` (at the second occurrence); Simultaneous only, in this order, +// `SIMULTANEOUS does not accept Place`, `SIMULTANEOUS Replace requires ShortestPaths EQUAL or WEIGHTED, +// or Pinned`, `SIMULTANEOUS requires admission=LOSSY`, `SIMULTANEOUS requires finite offers`; then +// the scalar call's own checks in their order. A computation error (the loss iteration's errors, a +// solver or forwarding size, the record identity limit counted for the whole list) also changes +// nothing. +std::vector apply_actions(FlowLedger& ledger, std::span actions, + BatchMode mode = BatchMode::Ordered, const OutputOptions& outputs = {}); + } // namespace netgraph::core diff --git a/python/netgraph_core/__init__.py b/python/netgraph_core/__init__.py index 1273868..f75576d 100644 --- a/python/netgraph_core/__init__.py +++ b/python/netgraph_core/__init__.py @@ -15,6 +15,8 @@ ``DistributedTE`` (T1, with ``TunnelCount``), ``CentralizedTE`` (with ``tunnel_count``: T2), ``Pinned``, and ``PlacementResult`` (with its ``SourceFlow`` and ``TunnelFlow`` rows and its ``TunnelPlan``), ``OutputOptions``, ``Termination``. +- Several policies in one operation: ``apply_actions`` over ``Place``, ``Replace`` and ``Forward`` + actions, in a ``BatchMode`` (ORDERED or SIMULTANEOUS). - The shortest-path cache: ``ShortestPathCache`` (building and frozen modes), ``ShortestPathCacheMiss``. - The evaluators: ``evaluate_demand``, ``evaluate_pairs``, ``evaluate_edge_failures``. - The searches: ``spf`` (``Direction``, ``SpfOptions``, ``SpfResult``, ``UNREACHABLE``), @@ -29,6 +31,7 @@ UNREACHABLE, AbsoluteCost, Admission, + BatchMode, CentralizedTE, CostStretch, Direction, @@ -39,14 +42,17 @@ FlowPolicy, FlowPolicyConfig, FlowRecord, + Forward, ForwardingProgram, Graph, KspOptions, OutputOptions, Path, Pinned, + Place, PlacementResult, PredecessorDAG, + Replace, RouteAllocation, RouteDefinition, RouteTieBreak, @@ -67,6 +73,7 @@ TunnelPlan, TunnelStatus, WeightBasis, + apply_actions, as_float, evaluate_demand, evaluate_edge_failures, @@ -113,6 +120,11 @@ "TunnelFlow", "TunnelPlan", "FlowPolicy", + "Place", + "Replace", + "Forward", + "BatchMode", + "apply_actions", "ShortestPathCache", "ShortestPathCacheMiss", "ShortestPathCacheStats", diff --git a/python/netgraph_core/__init__.pyi b/python/netgraph_core/__init__.pyi index 2edbfc1..3be0743 100644 --- a/python/netgraph_core/__init__.pyi +++ b/python/netgraph_core/__init__.pyi @@ -16,6 +16,8 @@ to this file (``py.typed`` marks the package as typed). ``DistributedTE`` (T1, with ``TunnelCount``), ``CentralizedTE`` (with ``tunnel_count``: T2), ``Pinned``, and ``PlacementResult`` (with its ``SourceFlow`` and ``TunnelFlow`` rows and its ``TunnelPlan``), ``OutputOptions``, ``Termination``. +- Several policies in one operation: ``apply_actions`` over ``Place``, ``Replace`` and ``Forward`` + actions, in a ``BatchMode`` (ORDERED or SIMULTANEOUS). - The shortest-path cache: ``ShortestPathCache`` (building and frozen modes), ``ShortestPathCacheMiss``. - The evaluators: ``evaluate_demand``, ``evaluate_pairs``, ``evaluate_edge_failures``. - The searches: ``spf`` (``Direction``, ``SpfOptions``, ``SpfResult``, ``UNREACHABLE``), @@ -66,6 +68,11 @@ __all__: list[str] = [ "TunnelFlow", "TunnelPlan", "FlowPolicy", + "Place", + "Replace", + "Forward", + "BatchMode", + "apply_actions", "ShortestPathCache", "ShortestPathCacheMiss", "ShortestPathCacheStats", @@ -2173,6 +2180,134 @@ class FlowPolicy: the installed ForwardingProgram; None before the first preparation and after remove() """ +class BatchMode: + """ + How apply_actions runs its list. ORDERED: each action as its scalar call, in list order, on the + state the earlier actions left (earlier actions are served first). SIMULTANEOUS: every action forwarded at + the same time on one view, losses shared on links across the demands. + + Members: + + ORDERED + + SIMULTANEOUS + """ + + ORDERED: typing.ClassVar[BatchMode] + SIMULTANEOUS: typing.ClassVar[BatchMode] + __members__: typing.ClassVar[dict[str, BatchMode]] + + @typing.overload + def __eq__(self, other: BatchMode, /) -> bool: ... + @typing.overload + def __eq__(self, other: typing.Any, /) -> bool: ... + def __getstate__(self) -> int: ... + def __hash__(self) -> int: ... + def __index__(self) -> int: ... + def __init__(self, value: typing.SupportsInt | typing.SupportsIndex) -> None: ... + def __int__(self) -> int: ... + @typing.overload + def __ne__(self, other: BatchMode, /) -> bool: ... + @typing.overload + def __ne__(self, other: typing.Any, /) -> bool: ... + def __repr__(self) -> str: ... + def __setstate__( + self, state: typing.SupportsInt | typing.SupportsIndex, / + ) -> None: ... + def __str__(self) -> str: ... + @property + def name(self) -> str: ... + @property + def value(self) -> int: ... + +class Place: + """ + An incremental place(offer) of policy in an apply_actions list (ORDERED only). An immutable value: + policy (a FlowPolicy, kept alive) and offer (int units or a float, kept as given; another type + raises TypeError here, a value outside the domain raises the call's ValueError at apply_actions). + """ + + def __init__( + self, policy: FlowPolicy, offer: typing.SupportsIndex | float | numpy.floating + ) -> None: ... + @property + def offer(self) -> int | float: + """ + the offer as given (int units or a float) + """ + + @property + def policy(self) -> FlowPolicy: + """ + the FlowPolicy + """ + +class Replace: + """ + A replace(offer, design_demand) of policy in an apply_actions list; SIMULTANEOUS takes it only for + ShortestPaths EQUAL or WEIGHTED and for Pinned. An immutable value: policy (kept alive), offer and + design_demand (int units or a float, kept as given; None: absent; another type raises TypeError + here, a value outside the domain raises the call's ValueError at apply_actions). + """ + + def __init__( + self, + policy: FlowPolicy, + offer: typing.SupportsIndex | float | numpy.floating, + *, + design_demand: typing.SupportsIndex | float | numpy.floating | None = None, + ) -> None: ... + @property + def design_demand(self) -> int | float | None: + """ + the design demand as given (int units or a float); None: absent + """ + + @property + def offer(self) -> int | float: + """ + the offer as given (int units or a float) + """ + + @property + def policy(self) -> FlowPolicy: + """ + the FlowPolicy + """ + +class Forward: + """ + A forward(offer, black_holes) of policy over its installed program in an apply_actions list. An + immutable value: policy and black_holes (an Eligibility of the policy's graph or None) kept alive, + offer (int units or a float, kept as given; another type raises TypeError here, a value outside + the domain raises the call's ValueError at apply_actions). + """ + + def __init__( + self, + policy: FlowPolicy, + offer: typing.SupportsIndex | float | numpy.floating, + *, + black_holes: Eligibility | None = None, + ) -> None: ... + @property + def black_holes(self) -> Eligibility | None: + """ + the black holes (an Eligibility); None: none + """ + + @property + def offer(self) -> int | float: + """ + the offer as given (int units or a float) + """ + + @property + def policy(self) -> FlowPolicy: + """ + the FlowPolicy + """ + class EvaluationOptions: """ The options of every evaluator (evaluate_demand, evaluate_pairs, evaluate_edge_failures): config @@ -2459,6 +2594,45 @@ class SpfResult: full search """ +def apply_actions( + ledger: FlowLedger, + actions: collections.abc.Sequence[Place | Replace | Forward], + *, + mode: BatchMode = ..., + outputs: OutputOptions | None = None, +) -> list[PlacementResult]: + """ + Run the actions of several policies of ledger (a sequence of Place, Replace and Forward) as one + transaction -> list[PlacementResult], one per action in input order, each the scalar call's fields + for its policy. The whole list is validated first, then computed, then published once (one exchange + of every policy's records, then their epochs): a failed call raises with the ledger and every + policy unchanged (with the two limits in the module docstring). A policy appears at most once, and + every policy belongs to ledger. + mode ORDERED: each action runs in list order on a private working state exactly as its scalar call + would on the state the earlier actions left (their carried load and holds); new records take + FlowIds in list order. Earlier actions are served first: a reservation gives no protection. mode SIMULTANEOUS: + Replace of ShortestPaths EQUAL or WEIGHTED (routes prepared on the view) and of Pinned, Forward of + any policy with an installed program, every one LOSSY with a finite offer, forwarded at the same + time on one view: the residual plus every participant's old carried load (outside owners and orphans + stay; holds are never added). At a link that cannot carry its arrivals the loss is shared by highest + averages over the demands (ties by policy creation order, never by list position), then over each + demand's sources, then its tunnels; each participant's black holes are its own. Permuting the list + changes nothing. outputs (OutputOptions; None: none) as for the scalar calls: residual and + saturated_boundary_edges read the state after that action (ORDERED) or after the whole list + (SIMULTANEOUS, one residual for every entry, each entry's boundary from its own sources and mask). + Checked in this order: the arguments' types (TypeError: `ledger must be a FlowLedger`, `actions must + be a sequence of Place, Replace or Forward (got )`, `actions[] must be a Place, Replace or + Forward (got )`, `mode must be a BatchMode (got )`, `outputs must be an OutputOptions + (got )`); mode's value (`mode: is not a value of BatchMode`); an empty list returns []; + then each action in list order, all of its checks before the next action's: `list policy belongs + to another ledger`, `duplicate policy in list`, SIMULTANEOUS's own rules (`SIMULTANEOUS does not + accept Place`, `SIMULTANEOUS Replace requires ShortestPaths EQUAL or WEIGHTED, or Pinned`, + `SIMULTANEOUS requires admission=LOSSY`, `SIMULTANEOUS requires finite offers`), then the scalar + call's checks in its order. Only then is anything computed; an error of the computation (a + loss-iteration error, a solver or forwarding size limit, the record identity limit counted for the + whole list) publishes nothing. + """ + @typing.overload def as_float( x: collections.abc.Sequence[typing.SupportsIndex] diff --git a/src/flow_ledger.cpp b/src/flow_ledger.cpp index 564cca0..131fe61 100644 --- a/src/flow_ledger.cpp +++ b/src/flow_ledger.cpp @@ -393,10 +393,7 @@ std::vector LedgerAccess::commit_drafts(FlowLedger& ledger, std::int64_t if (num_new > static_cast(std::numeric_limits::max() - ledger.next_record_counter_)) { throw std::runtime_error("record identity limit exceeded"); } - // The drafts carry exactly the owner's live records plus new ones (retire: only new ones, every - // live record is retired). const auto owned = ledger.policy_record_counters_.find(owner); - const std::size_t num_current = owned == ledger.policy_record_counters_.end() ? 0 : owned->second.size(); if (owned == ledger.policy_record_counters_.end() && drafts.size() == 1 && !drafts[0].record_counter.has_value() && drafts[0].record.edge_reservations.empty() && std::adjacent_find(drafts[0].record.edge_flows.begin(), drafts[0].record.edge_flows.end(), @@ -438,37 +435,88 @@ std::vector LedgerAccess::commit_drafts(FlowLedger& ledger, std::int64_t ledger.next_record_counter_ = id + 1; return created; } - std::vector kept; - for (const auto& d : drafts) { - if (d.record_counter.has_value()) kept.push_back(*d.record_counter); + std::vector created; + OwnerDrafts one {owner, drafts, retire}; + commit_batch(ledger, std::span(&one, 1), std::span>(&created, 1)); + return created; +} + +void LedgerAccess::commit_batch(FlowLedger& ledger, std::span owners, std::span> created) { + ledger.check_usable(); + if (created.size() != owners.size()) throw std::logic_error("ledger: a batch needs one id list per owner"); + for (const auto& o : owners) { + if (!is_bound(ledger.policy_bindings_, o.owner)) throw std::logic_error("ledger: commit by an unbound owner"); + } + if (owners.size() > 1) { + std::vector ids; + ids.reserve(owners.size()); + for (const auto& o : owners) ids.push_back(o.owner); + std::sort(ids.begin(), ids.end()); + if (std::adjacent_find(ids.begin(), ids.end()) != ids.end()) throw std::logic_error("ledger: an owner twice in a batch"); } - std::sort(kept.begin(), kept.end()); - if (retire ? !kept.empty() : (kept.size() != num_current || (num_current != 0 && kept != owned->second))) { - throw std::logic_error(retire ? "ledger: an exchange carries only new records" - : "ledger: a commit must carry every live record of its policy"); + // Every new record's id, counted over the whole batch before anything changes: ids stay below + // the largest int64. + std::uint64_t num_new = 0; + for (const auto& o : owners) { + num_new += static_cast(std::count_if(o.drafts.begin(), o.drafts.end(), + [](const RecordDraft& d) { return !d.record_counter.has_value(); })); + } + if (num_new > static_cast(std::numeric_limits::max() - ledger.next_record_counter_)) { + throw std::runtime_error("record identity limit exceeded"); + } + // Per owner: its index entry and the live records its drafts keep. The drafts carry exactly the + // owner's live records plus new ones (retire: only new ones, every live record is retired). + struct OwnerState { + std::map>::iterator owned; + std::size_t num_current {0}; + std::size_t num_new {0}; + std::vector kept; + }; + std::vector state(owners.size()); + for (std::size_t i = 0; i < owners.size(); ++i) { + const auto& o = owners[i]; + auto& st = state[i]; + st.owned = ledger.policy_record_counters_.find(o.owner); + const bool indexed = st.owned != ledger.policy_record_counters_.end(); + st.num_current = indexed ? st.owned->second.size() : 0; + for (const auto& d : o.drafts) { + if (d.record_counter.has_value()) { + st.kept.push_back(*d.record_counter); + } else { + ++st.num_new; + } + } + std::sort(st.kept.begin(), st.kept.end()); + if (o.retire ? !st.kept.empty() + : (st.kept.size() != st.num_current || (st.num_current != 0 && st.kept != st.owned->second))) { + throw std::logic_error(o.retire ? "ledger: an exchange carries only new records" + : "ledger: a commit must carry every live record of its policy"); + } } - // 1. The new aggregates on every touched edge (old owner allocation and holds out, new drafts - // in), checked before anything changes: carried loads against the service baseline, then holds - // against the reservation baseline (each below 2^62, so a sum of two stays below 2^63). Holds are - // gathered only when some record has one. + // 1. The new aggregates on every touched edge (every owner's old allocation and holds out, its + // new drafts in), checked before anything changes: carried loads against the service baseline, + // then holds against the reservation baseline (each below 2^62, so a sum of two stays below + // 2^63: every owner's records fit the baseline before and after). Holds are gathered only when + // some record has one. DeltaScratch<0> delta(ledger.carried_.size()); bool holds = false; - if (num_current != 0) { - for (std::int64_t id : owned->second) { - const FlowRecord& r = ledger.records_.at(id); - for (const auto& [e, x] : r.edge_flows) delta.add(e, -x); - holds = holds || !r.edge_reservations.empty(); - } - } bool negative = false; - for (const auto& d : drafts) { - const FlowRecord& r = d.record; - for (const auto& [e, x] : r.edge_flows) { - negative = negative || x < 0; - delta.add(e, x); + for (std::size_t i = 0; i < owners.size(); ++i) { + if (state[i].num_current != 0) { + for (std::int64_t id : state[i].owned->second) { + const FlowRecord& r = ledger.records_.at(id); + for (const auto& [e, x] : r.edge_flows) delta.add(e, -x); + holds = holds || !r.edge_reservations.empty(); + } + } + for (const auto& d : owners[i].drafts) { + for (const auto& [e, x] : d.record.edge_flows) { + negative = negative || x < 0; + delta.add(e, x); + } + holds = holds || !d.record.edge_reservations.empty(); } - holds = holds || !r.edge_reservations.empty(); } if (negative) throw std::logic_error("ledger: a negative allocation in a commit"); for (EdgeId e : delta.touched()) { @@ -482,16 +530,18 @@ std::vector LedgerAccess::commit_drafts(FlowLedger& ledger, std::int64_t std::optional> held; if (holds) { held.emplace(ledger.carried_.size()); - if (num_current != 0) { - for (std::int64_t id : owned->second) { - for (const auto& [e, x] : ledger.records_.at(id).edge_reservations) held->add(e, -x); - } - } bool negative_hold = false; - for (const auto& d : drafts) { - for (const auto& [e, x] : d.record.edge_reservations) { - negative_hold = negative_hold || x < 0; - held->add(e, x); + for (std::size_t i = 0; i < owners.size(); ++i) { + if (state[i].num_current != 0) { + for (std::int64_t id : state[i].owned->second) { + for (const auto& [e, x] : ledger.records_.at(id).edge_reservations) held->add(e, -x); + } + } + for (const auto& d : owners[i].drafts) { + for (const auto& [e, x] : d.record.edge_reservations) { + negative_hold = negative_hold || x < 0; + held->add(e, x); + } } } if (negative_hold) throw std::logic_error("ledger: a negative hold in a commit"); @@ -506,42 +556,55 @@ std::vector LedgerAccess::commit_drafts(FlowLedger& ledger, std::int64_t } // 2. Every allocation of the publication, staged: the holds' storage on the first hold (all - // zero, as the empty storage reads), the records (new ones as map nodes), the owner's index node, - // the returned ids and the next id. A throw here changes nothing. + // zero, as the empty storage reads), the records (new ones as map nodes), the owners' index + // nodes, the returned ids and the next id. A throw here changes nothing. if (held.has_value() && ledger.reserved_.empty()) ledger.reserved_.assign(ledger.carried_.size(), 0); - std::vector created; - created.reserve(num_new); - std::vector live; // the owner's new index, when it gains ids - if (num_new != 0) { - live.reserve(kept.size() + num_new); - live.assign(kept.begin(), kept.end()); // ascending; new ids are larger than every kept id + std::vector> live(owners.size()); // an owner's new index, when it gains ids + std::size_t num_retired = 0; + std::size_t num_kept = 0; + for (std::size_t i = 0; i < owners.size(); ++i) { + auto& st = state[i]; + created[i].clear(); + created[i].reserve(st.num_new); + if (st.num_new != 0) { + live[i].reserve(st.kept.size() + st.num_new); + live[i].assign(st.kept.begin(), st.kept.end()); // ascending; new ids are larger than every kept id + } + if (owners[i].retire) num_retired += st.num_current; + num_kept += st.kept.size(); } // An exchange retires the owner's live records: their map nodes leave the map before the new // ones are spliced in (an erase neither allocates nor throws). std::vector::iterator> retired; - if (retire && num_current != 0) { - retired.reserve(num_current); - for (std::int64_t id : owned->second) retired.push_back(ledger.records_.find(id)); - } + retired.reserve(num_retired); std::vector::iterator> targets; std::vector updated; - targets.reserve(kept.size()); - updated.reserve(kept.size()); + targets.reserve(num_kept); + updated.reserve(num_kept); std::map fresh; + std::map> index_nodes; std::int64_t next_id = ledger.next_record_counter_; - for (auto& d : drafts) { - if (d.record_counter.has_value()) { - targets.push_back(ledger.records_.find(*d.record_counter)); - updated.push_back(record_of(ledger.uid_, *d.record_counter, owner, d)); - } else { - const std::int64_t id = next_id++; - fresh.emplace_hint(fresh.end(), id, record_of(ledger.uid_, id, owner, d)); - created.emplace_back(ledger.uid_, id); - live.push_back(id); + for (std::size_t i = 0; i < owners.size(); ++i) { + const auto& o = owners[i]; + auto& st = state[i]; + if (o.retire && st.num_current != 0) { + for (std::int64_t id : st.owned->second) retired.push_back(ledger.records_.find(id)); + } + for (auto& d : o.drafts) { + if (d.record_counter.has_value()) { + targets.push_back(ledger.records_.find(*d.record_counter)); + updated.push_back(record_of(ledger.uid_, *d.record_counter, o.owner, d)); + } else { + const std::int64_t id = next_id++; + fresh.emplace_hint(fresh.end(), id, record_of(ledger.uid_, id, o.owner, d)); + created[i].emplace_back(ledger.uid_, id); + live[i].push_back(id); + } + } + if (st.owned == ledger.policy_record_counters_.end() && !live[i].empty()) { + index_nodes.emplace_hint(index_nodes.end(), o.owner, std::move(live[i])); } } - std::map> index_node; - if (owned == ledger.policy_record_counters_.end() && !live.empty()) index_node.emplace(owner, std::move(live)); // 3. Publication: nothing below allocates or throws (map nodes are spliced, not copied). for (EdgeId e : delta.touched()) ledger.carried_[static_cast(e)] += delta.at(e); @@ -551,17 +614,17 @@ std::vector LedgerAccess::commit_drafts(FlowLedger& ledger, std::int64_t for (std::size_t i = 0; i < targets.size(); ++i) targets[i]->second = std::move(updated[i]); for (const auto& it : retired) ledger.records_.erase(it); ledger.records_.merge(fresh); - if (num_new != 0) { - if (owned != ledger.policy_record_counters_.end()) { - owned->second.swap(live); - } else { - ledger.policy_record_counters_.merge(index_node); + for (std::size_t i = 0; i < owners.size(); ++i) { + auto& st = state[i]; + if (st.owned == ledger.policy_record_counters_.end()) continue; + if (st.num_new != 0) { + st.owned->second.swap(live[i]); + } else if (owners[i].retire) { + ledger.policy_record_counters_.erase(st.owned); } - } else if (retire && owned != ledger.policy_record_counters_.end()) { - ledger.policy_record_counters_.erase(owned); } + ledger.policy_record_counters_.merge(index_nodes); ledger.next_record_counter_ = next_id; - return created; } const FlowRecord& LedgerAccess::live(const FlowLedger& ledger, std::int64_t id) { diff --git a/src/flow_policy.cpp b/src/flow_policy.cpp index de7ace0..8b8b46e 100644 --- a/src/flow_policy.cpp +++ b/src/flow_policy.cpp @@ -37,6 +37,11 @@ * The tunnel models' forward() (forward_tunnels) forwards the installed program the same way, keeping its plan and T1's holds. + apply_actions (several policies of one ledger): the list is validated whole, then computed (ORDERED: + each action's call on a working copy of the ledger's totals; SIMULTANEOUS: every participant + prepared on one view, forwarded by one joint evaluation, finished as its call), then published + as one exchange of every owner's records followed by their epochs. + Work on copies and publish all changes together; an exception leaves ledger and policy intact. Store only changes to ledger residual in per-thread slots. Unrestricted CentralizedTE reads a dense residual and solves over every edge (its view and flows per EdgeId); the other controllers @@ -52,6 +57,7 @@ #include #include #include +#include #include #include #include @@ -80,6 +86,23 @@ namespace { // ================================================================ working residual +// The ledger's totals a call reads: the ledger's own (a scalar call), or a list's working copy +// (apply_actions: ORDERED's totals after the earlier actions, SIMULTANEOUS's with every +// participant's load released), which outlives every reader. `reservation_baseline` is the +// ledger's (the capacities when it has none); an empty `held` reads as all zero, as the ledger's +// unstaged holds do. +struct LedgerTotals { + std::span service_baseline; + std::span carried; + std::span reservation_baseline; + std::span held; +}; + +LedgerTotals totals_of(const FlowLedger& ledger) { + return {LedgerAccess::baseline(ledger), LedgerAccess::carried(ledger), LedgerAccess::reservation_baseline(ledger), + LedgerAccess::reserved(ledger)}; +} + // W = service baseline - carried() + delta; delta holds this call's releases and new allocations. // Each call advances a scratch epoch (a numeric stamp, separate from the policy epoch). // Read a slot only when its stamp matches; later calls ignore stale slots even after a throw. @@ -88,8 +111,8 @@ namespace { // intact. class ServiceCapacityWorkspace { public: - explicit ServiceCapacityWorkspace(const FlowLedger& ledger) - : storage_(storage()), service_baseline_(LedgerAccess::baseline(ledger)), carried_(LedgerAccess::carried(ledger)) { + explicit ServiceCapacityWorkspace(const LedgerTotals& totals) + : storage_(storage()), service_baseline_(totals.service_baseline), carried_(totals.carried) { if (storage_.slot.size() < service_baseline_.size()) storage_.slot.resize(service_baseline_.size()); if (++storage_.generation == 0) { for (auto& x : storage_.slot) x.stamp = 0; @@ -254,11 +277,12 @@ std::optional creation_products(const PolicyCallContext& c, // The optional outputs of a call whose policy records become `after`, computed before the commit // (so nothing allocates once the ledger changed): edge_flows = the policy's own allocation after -// the call, residual = the ledger's after it (now + own before - own after), -// saturated_boundary_edges on that residual, edge_reservations = the policy's own holds after the -// call. -void prepare_outputs(const PolicyEngine& pe, const OutputOptions& outputs, std::span after, - PlacementResult& out) { +// the call, residual = the ledger's after it (the totals' service baseline - carried + own before - +// own after), saturated_boundary_edges on that residual, edge_reservations = the policy's own holds +// after the call. +// `totals`: the totals the call read (nullptr: the ledger's, read only for these two outputs). +void prepare_outputs(const PolicyEngine& pe, const LedgerTotals* totals, const OutputOptions& outputs, + std::span after, PlacementResult& out) { const auto m = static_cast(pe.graph->num_edges()); if (outputs.edge_reservations) { std::vector held(m, 0); @@ -273,8 +297,9 @@ void prepare_outputs(const PolicyEngine& pe, const OutputOptions& outputs, std:: for (const auto& [e, x] : r->edge_flows) own[static_cast(e)] += x; } if (outputs.residual || outputs.saturated_boundary_edges) { - std::vector res; - LedgerAccess::residual_into(pe.ledger, res); + const LedgerTotals t = totals != nullptr ? *totals : totals_of(pe.ledger); + std::vector res(m); + for (std::size_t e = 0; e < m; ++e) res[e] = t.service_baseline[e] - t.carried[e]; for (const auto& cohort : pe.epoch.record_groups) { for (const auto& s : cohort) { for (const auto& [e, x] : LedgerAccess::live(pe.ledger, s.record_counter).edge_flows) res[static_cast(e)] += x; @@ -448,9 +473,12 @@ struct PolicyCall { const Eligibility* black_holes {nullptr}; // forward's black holes const OutputOptions* outputs {nullptr}; Trace* trace {nullptr}; + const LedgerTotals* totals {nullptr}; // the totals the call reads (nullptr: the ledger's) [[nodiscard]] bool is_full_offer() const noexcept { return operation != PolicyOperation::Place; } }; +LedgerTotals totals_of(const PolicyEngine& pe, const PolicyCall& rq) { return rq.totals != nullptr ? *rq.totals : totals_of(pe.ledger); } + // A computed call, published or discarded whole: its result, the drafts of its commit (a place: // every live record plus the new ones; a full-offer call: only new ones, the live ones retired), // the epoch after it, and per new draft (in draft order) its flow in that epoch. @@ -1313,10 +1341,11 @@ bool view_active(const ForwardingView& v) { // call; T1: its own program, after setup or installed): place, evaluate, replace and T1's // forward. `active`: some head can place traffic (view_active). With `holds` (a T1 policy's own // program), each up tunnel's record holds its request on every edge of its path; `plan` is the -// result's and the epoch's. +// result's and the epoch's. `given` (Lossy, a full offer): the forwarding already computed with the +// heads' shares of the offer (a SIMULTANEOUS list's joint evaluation), moved from. PendingPolicyUpdate forward_entries(const PolicyEngine& pe, const PolicyEpoch& cur, ServiceCapacityWorkspace& W, const PolicyCall& rq, const ForwardingProgram* before_program, const ForwardingView& view, bool active, bool holds, - std::shared_ptr plan) { + std::shared_ptr plan, ProgramFlow* given = nullptr) { const auto v = rq.offer; const ProgramData& p = *view.data; const std::size_t n = p.entries.size(); @@ -1343,6 +1372,11 @@ PendingPolicyUpdate forward_entries(const PolicyEngine& pe, const PolicyEpoch& c const std::optional hi = v.has_value() ? std::optional(admitted + *v) : std::nullopt; flow = detail::lossless(view, available_capacity_reader(W), admitted, hi); call_delivered = flow.admitted - admitted; + } else if (given != nullptr) { + flow = std::move(*given); + call_delivered = flow.delivered; + flow.source_drops += *v - flow.offered; + accumulate(offered, c128(*v), "offered"); } else { std::vector inject(k, 0); if (rq.is_full_offer()) { @@ -1462,9 +1496,9 @@ PendingPolicyUpdate place_pinned(const PolicyEngine& pe, const PolicyEpoch& cur, // T1's setup view U: the reservation baseline minus every hold, this policy's own holds released // (never above static capacity: R0 <= capacity and the own holds are part of S). -std::vector reservation_view(const PolicyEngine& pe) { - const auto r0 = LedgerAccess::reservation_baseline(pe.ledger); - const auto held = LedgerAccess::reserved(pe.ledger); +std::vector reservation_view(const PolicyEngine& pe, const LedgerTotals& totals) { + const auto r0 = totals.reservation_baseline; + const auto held = totals.held; std::vector U(r0.begin(), r0.end()); if (!held.empty()) { for (std::size_t e = 0; e < U.size(); ++e) U[e] -= held[e]; @@ -1507,7 +1541,7 @@ PendingPolicyUpdate apply_distributed_te_call(const PolicyEngine& pe, const Poli const auto& g = *pe.graph; const Amount D = *design_of(rq); const auto& ca = std::get(pe.config.routing); - auto tunnels = setup_distributed_te_tunnels(g, pe.eligibility, pe.reachable_sources, pe.allowed_destinations, ca, pe.c0, D, reservation_view(pe)); + auto tunnels = setup_distributed_te_tunnels(g, pe.eligibility, pe.reachable_sources, pe.allowed_destinations, ca, pe.c0, D, reservation_view(pe, totals_of(pe, rq))); const auto program = distributed_te_program(g, pe.sources, pe.destinations, pe.reachable_sources, std::move(tunnels), pe.excluded_nodes, pe.excluded_edges); const ForwardingView view = make_forwarding_view(g, program, nullptr, pe.allowed_destinations, nullptr, true); @@ -1553,27 +1587,35 @@ PendingPolicyUpdate place_t2(const PolicyEngine& pe, const PolicyEpoch& cur, Ser std::make_shared(t2_plan(pe, D, lay, program->tunnels().size(), F))); } -// forward(): a computing model's installed program forwarded with no route computation, on the -// released view, records per roster source (ShortestPaths and CentralizedTE). -PendingPolicyUpdate forward_installed(const PolicyEngine& pe, ServiceCapacityWorkspace& W, const PolicyCall& rq) { +// The view forward() forwards a computing model's installed program on (its roster, the call's +// black holes). +ForwardingView installed_view(const PolicyEngine& pe, const PolicyCall& rq) { + return make_forwarding_view(*pe.graph, pe.epoch.program, nullptr, pe.allowed_destinations, rq.black_holes); +} + +// A SIMULTANEOUS ShortestPaths replace (EQUAL or WEIGHTED): its program prepared on the list's view, +// its per-source flows (routes and costs, new ids) and the program installed before, for the flags. +struct PreparedReplace { + std::shared_ptr program {}; + std::vector flows {}; + const ForwardingProgram* before {nullptr}; +}; + +// A forwarding of a computing model's program as `view` (its roster) sees it, finished into records +// per roster source: forward() of the installed program, or (`replaced`) a SIMULTANEOUS ShortestPaths +// replace of its newly prepared one (its routes and costs, its flags, its termination). +PendingPolicyUpdate finish_by_source(const PolicyEngine& pe, const PolicyCall& rq, const ForwardingView& view, ProgramFlow& flow, + const PreparedReplace* replaced) { const auto& g = *pe.graph; const auto v = rq.offer; - const auto& program = pe.epoch.program; - const ForwardingView view = make_forwarding_view(g, program, nullptr, pe.allowed_destinations, rq.black_holes); + const auto& program = replaced != nullptr ? replaced->program : pe.epoch.program; const ProgramData& p = *view.data; const std::size_t k = pe.reachable_sources.size(); const std::size_t n = p.entries.size(); const bool lossy = pe.config.admission == Admission::Lossy; - ProgramFlow flow; - if (!lossy) { - flow = detail::lossless(view, available_capacity_reader(W), 0, v); - } else { - std::vector inject(k, 0); - source_shares(view, *v, inject); - flow = detail::lossy(view, available_capacity_reader(W), inject); - } PendingPolicyUpdate s; - s.next_epoch = fresh_epoch(pe, true); + s.next_epoch = fresh_epoch(pe, replaced == nullptr); + s.next_epoch.program = program; std::vector flows(k); // Per roster source: its entries' carried, drops and deliveries summed (the view's heads are the // roster: nothing is replayed). @@ -1588,7 +1630,7 @@ PendingPolicyUpdate forward_installed(const PolicyEngine& pe, ServiceCapacityWor got[slot] += f.delivered; } for (std::size_t i = 0; i < k; ++i) { - flows[i] = pe.epoch.record_groups[i].front(); + flows[i] = replaced != nullptr ? replaced->flows[i] : pe.epoch.record_groups[i].front(); flows[i].record_counter = -1; carried[i] = merged(std::move(carried[i])); drops[i] = merged(std::move(drops[i])); @@ -1634,6 +1676,12 @@ PendingPolicyUpdate forward_installed(const PolicyEngine& pe, ServiceCapacityWor } if (p.pools_source_inflows) active = !view.prepared_route(0)->forwarding_edges.empty(); out.termination = forwarding_termination(active, p.has_path(), lossy, v, out.call_delivered); + if (replaced != nullptr) { + // A replace's own rule (place_pooled's): no member, no active weight; else the Lossy offer + // is sent whole. + out.termination = view.prepared_route(0)->forwarding_edges.empty() ? Termination::NoActiveWeight : Termination::Complete; + set_flags(out, replaced->before, program.get(), false); + } out.program = program; out.by_tunnel = tunnel_rows(view, assigned, delivered, dropped); const auto after = draft_records(s.drafts); @@ -1647,6 +1695,22 @@ PendingPolicyUpdate forward_installed(const PolicyEngine& pe, ServiceCapacityWor return s; } +// forward(): a computing model's installed program forwarded with no route computation, on the +// released view, records per roster source (ShortestPaths and CentralizedTE). +PendingPolicyUpdate forward_installed(const PolicyEngine& pe, ServiceCapacityWorkspace& W, const PolicyCall& rq) { + const auto v = rq.offer; + const ForwardingView view = installed_view(pe, rq); + ProgramFlow flow; + if (pe.config.admission != Admission::Lossy) { + flow = detail::lossless(view, available_capacity_reader(W), 0, v); + } else { + std::vector inject(pe.reachable_sources.size(), 0); + source_shares(view, *v, inject); + flow = detail::lossy(view, available_capacity_reader(W), inject); + } + return finish_by_source(pe, rq, view, flow, nullptr); +} + // ---------------------------------------------------------------- construction } // namespace @@ -1955,7 +2019,7 @@ std::shared_ptr empty_roster_program(const PolicyEngine // The current state of a zero call: its records, its program and rows, every flag false; before // the epoch's first preparation all zeros (no records, no program, no curve). A zero call solves // nothing, so it claims no cut. -PlacementResult zero_state(const PolicyEngine& pe, const OutputOptions& outputs) { +PlacementResult zero_state(const PolicyEngine& pe, const LedgerTotals* totals, const OutputOptions& outputs) { PlacementResult out; out.call_undelivered = 0; const auto& ep = pe.epoch; @@ -1969,7 +2033,7 @@ PlacementResult zero_state(const PolicyEngine& pe, const OutputOptions& outputs) if (is_unrestricted_centralized_te(pe) && pe.source_allocation == SourceAllocation::Optimized && ep.prepared && ep.marginal_cost_curve.has_value()) out.marginal_cost_curve = *ep.marginal_cost_curve; out.program = ep.program; out.by_tunnel = ep.by_tunnel; - prepare_outputs(pe, outputs, records, out); + prepare_outputs(pe, totals, outputs, records, out); return out; } @@ -2073,7 +2137,8 @@ void check_call(const PolicyEngine& pe, const PolicyCall& rq) { // The computation of a call: nothing published. A full-offer call works on the residual with // the policy's own load released, from a fresh epoch. PendingPolicyUpdate compute(const PolicyEngine& pe, const PolicyCall& rq) { - ServiceCapacityWorkspace W(pe.ledger); + const LedgerTotals totals = totals_of(pe, rq); + ServiceCapacityWorkspace W(totals); if (rq.is_full_offer()) W.release_records(current_records(pe)); const PolicyEpoch fresh = rq.is_full_offer() ? fresh_epoch(pe, rq.operation == PolicyOperation::Forward) : PolicyEpoch {}; const PolicyEpoch& cur = rq.is_full_offer() ? fresh : pe.epoch; @@ -2110,7 +2175,7 @@ PendingPolicyUpdate compute(const PolicyEngine& pe, const PolicyCall& rq) { // The first termination row: a request of 0 is COMPLETE, also for a full-offer call, which // still prepared and publishes what it computed. if (rq.offer == Amount {0}) s.result.termination = Termination::Complete; - if (rq.outputs != nullptr && any_output(*rq.outputs)) prepare_outputs(pe, *rq.outputs, draft_records(s.drafts), s.result); + if (rq.outputs != nullptr && any_output(*rq.outputs)) prepare_outputs(pe, rq.totals, *rq.outputs, draft_records(s.drafts), s.result); return s; } @@ -2130,7 +2195,7 @@ void publish(PolicyEngine& pe, PendingPolicyUpdate& s, bool full) { PlacementResult run_call(PolicyEngine& pe, const PolicyCall& rq, const std::function* before_publish) { check_call(pe, rq); if (rq.operation == PolicyOperation::Place && rq.offer.has_value() && *rq.offer == 0) { - PlacementResult out = zero_state(pe, *rq.outputs); + PlacementResult out = zero_state(pe, rq.totals, *rq.outputs); if (before_publish != nullptr && *before_publish) (*before_publish)(); return out; } @@ -2141,6 +2206,257 @@ PlacementResult run_call(PolicyEngine& pe, const PolicyCall& rq, const std::func return out; } +// ================================================================ lists (apply_actions) + +// One action of a list, validated: its policy's engine and the scalar call it stands for. +struct ListAction { + PolicyEngine* engine {nullptr}; + PolicyCall call {}; +}; + +// The list's validation, before anything is computed: the ledger, the mode, then each +// action in list order, all of its checks before the next one's (ownership, the duplicate rule, +// the SIMULTANEOUS rules, the scalar call's own checks). +std::vector validate_list(FlowLedger& ledger, std::span actions, BatchMode mode, const OutputOptions& outputs) { + (void)LedgerAccess::baseline(ledger); // a moved-from ledger: std::logic_error + switch (mode) { + case BatchMode::Ordered: + case BatchMode::Simultaneous: break; + default: not_a_member("mode", static_cast(mode), "BatchMode"); + } + std::vector out; + out.reserve(actions.size()); + std::set seen; + for (const Action& a : actions) { + ListAction x; + FlowPolicy* policy = nullptr; + std::visit( + [&](const auto& act) { + using T = std::decay_t; + policy = &act.policy.get(); + x.call.offer = act.offer; + x.call.outputs = &outputs; + if constexpr (std::is_same_v) { + x.call.operation = PolicyOperation::Place; + } else if constexpr (std::is_same_v) { + x.call.operation = PolicyOperation::Replace; + x.call.design = act.design_demand; + } else { + x.call.operation = PolicyOperation::Forward; + x.call.black_holes = act.black_holes; + } + }, + a); + PolicyEngine& pe = PolicyAccess::engine(*policy); + x.engine = &pe; + if (&pe.ledger != &ledger) invalid("list policy belongs to another ledger"); + if (!seen.insert(pe.policy_id).second) invalid("duplicate policy in list"); + if (mode == BatchMode::Simultaneous) { + if (x.call.operation == PolicyOperation::Place) invalid("SIMULTANEOUS does not accept Place"); + if (x.call.operation == PolicyOperation::Replace && !is(pe) && + !(is(pe) && std::get(pe.config.routing).allocation != RouteAllocation::Optimized)) { + invalid("SIMULTANEOUS Replace requires ShortestPaths EQUAL or WEIGHTED, or Pinned"); + } + if (pe.config.admission != Admission::Lossy) invalid("SIMULTANEOUS requires admission=LOSSY"); + if (!x.call.offer.has_value()) invalid("SIMULTANEOUS requires finite offers"); + } + check_call(pe, x.call); + out.push_back(x); + } + return out; +} + +// The list's one publication: one atomic exchange of every publishing policy's records (new ids in +// list order, then draft order), then their epochs (nothing after the exchange throws). +void publish_list(FlowLedger& ledger, std::span list, std::span pending, const std::vector& publishes) { + std::vector owners; + std::vector which; + for (std::size_t i = 0; i < list.size(); ++i) { + if (publishes[i] == 0) continue; + owners.push_back({list[i].engine->policy_id, pending[i].drafts, list[i].call.is_full_offer()}); + which.push_back(i); + } + std::vector> created(owners.size()); + LedgerAccess::commit_batch(ledger, owners, created); + for (std::size_t k = 0; k < which.size(); ++k) { + PendingPolicyUpdate& s = pending[which[k]]; + for (std::size_t n = 0; n < s.fresh.size(); ++n) s.next_epoch.record_groups[s.fresh[n].first][s.fresh[n].second].record_counter = created[k][n].second; + list[which[k]].engine->epoch = std::move(s.next_epoch); + } +} + +// ORDERED: each action as its scalar call on the working totals the earlier ones left (their +// carried loads and holds exchanged for the drafts), its outputs after it. +std::vector run_ordered(FlowLedger& ledger, std::span list, const OutputOptions& outputs) { + const auto c = LedgerAccess::carried(ledger); + const auto h = LedgerAccess::reserved(ledger); + std::vector carried(c.begin(), c.end()); + std::vector held(h.begin(), h.end()); + LedgerTotals totals {LedgerAccess::baseline(ledger), carried, LedgerAccess::reservation_baseline(ledger), held}; + std::vector pending(list.size()); + std::vector publishes(list.size(), 0); + std::vector results(list.size()); + for (std::size_t i = 0; i < list.size(); ++i) { + PolicyEngine& pe = *list[i].engine; + PolicyCall& rq = list[i].call; + rq.totals = &totals; + if (rq.operation == PolicyOperation::Place && rq.offer == Amount {0}) { + results[i] = zero_state(pe, &totals, outputs); + continue; + } + pending[i] = compute(pe, rq); + publishes[i] = 1; + // The working totals after it: the policy's live records out, its drafts in. + auto exchange = [&](const FlowRecord& r, Amount sign) { + for (const auto& [e, x] : r.edge_flows) carried[static_cast(e)] += sign * x; + if (r.edge_reservations.empty()) return; + if (held.empty()) { + held.assign(carried.size(), 0); + totals.held = held; + } + for (const auto& [e, x] : r.edge_reservations) held[static_cast(e)] += sign * x; + }; + for (const FlowRecord* r : current_records(pe)) exchange(*r, -1); + for (const auto& d : pending[i].drafts) exchange(d.record, 1); + results[i] = std::move(pending[i].result); + } + publish_list(ledger, list, pending, publishes); + return results; +} + +// SIMULTANEOUS: every participant prepared and forwarded on one view (the ledger's residual plus +// every participant's old carried load) by one joint evaluation, demands in creation order; each +// finished as its scalar call finishes; the outputs after the whole list. +std::vector run_simultaneous(FlowLedger& ledger, std::span list, const OutputOptions& outputs) { + const std::size_t n = list.size(); + const auto c = LedgerAccess::carried(ledger); + std::vector carried(c.begin(), c.end()); + for (const auto& x : list) { + for (const FlowRecord* r : current_records(*x.engine)) { + for (const auto& [e, a] : r->edge_flows) carried[static_cast(e)] -= a; + } + } + const LedgerTotals totals {LedgerAccess::baseline(ledger), carried, LedgerAccess::reservation_baseline(ledger), LedgerAccess::reserved(ledger)}; + // One workspace for the whole computation: a second one on this thread would void its deltas. + ServiceCapacityWorkspace W(totals); + enum class Kind { EmptyRoster, Entries, BySource, ShortestPathsReplace }; + struct Participant { + Kind kind {Kind::EmptyRoster}; + PolicyEpoch fresh {}; + std::optional view {}; // its own (a Pinned replace forwards the policy's) + PreparedShortestPaths prep {}; + std::vector inject {}; + ProgramFlow flow {}; + [[nodiscard]] const ForwardingView* forwarded(const PolicyEngine& pe) const noexcept { return view ? &*view : &pe.view; } + }; + std::vector parts(n); + std::vector forwarding; + for (std::size_t i = 0; i < n; ++i) { + PolicyEngine& pe = *list[i].engine; + const PolicyCall& rq = list[i].call; + auto& part = parts[i]; + part.fresh = fresh_epoch(pe, rq.operation == PolicyOperation::Forward); + if (pe.reachable_sources.empty() && !is(pe)) continue; + if (rq.operation == PolicyOperation::Replace && is(pe)) { + part.kind = Kind::Entries; + } else if (rq.operation == PolicyOperation::Replace) { + PolicyCallContext ctx {pe, *pe.graph, W}; + part.prep = prepare_shortest_path_program(ctx); + part.view.emplace(make_forwarding_view(*pe.graph, part.prep.program, nullptr, pe.allowed_destinations, nullptr)); + part.kind = Kind::ShortestPathsReplace; + } else if (tunnel_model(pe)) { + part.view.emplace(make_forwarding_view(*pe.graph, pe.epoch.program, nullptr, pe.allowed_destinations, rq.black_holes, true)); + part.kind = Kind::Entries; + } else { + part.view.emplace(installed_view(pe, rq)); + part.kind = Kind::BySource; + } + const ForwardingView& view = *part.forwarded(pe); + part.inject.assign(view.num_sources(), 0); + source_shares(view, *rq.offer, part.inject); + forwarding.push_back(i); + } + // The joint forwarding: the demands in their policies' creation order. + std::sort(forwarding.begin(), forwarding.end(), + [&](std::size_t a, std::size_t b) { return list[a].engine->policy_id < list[b].engine->policy_id; }); + std::vector demands; + demands.reserve(forwarding.size()); + for (auto i : forwarding) demands.push_back({parts[i].forwarded(*list[i].engine), parts[i].inject}); + auto flows = detail::lossy(demands, available_capacity_reader(W)); + for (std::size_t k = 0; k < forwarding.size(); ++k) parts[forwarding[k]].flow = std::move(flows[k]); + // Each participant finished as its scalar call finishes. + std::vector pending(n); + for (std::size_t i = 0; i < n; ++i) { + PolicyEngine& pe = *list[i].engine; + const PolicyCall& rq = list[i].call; + auto& part = parts[i]; + const ForwardingProgram* before = pe.epoch.program.get(); + PendingPolicyUpdate& s = pending[i]; + switch (part.kind) { + case Kind::EmptyRoster: s = empty_roster(pe, part.fresh, rq, before); break; + case Kind::Entries: + if (rq.operation == PolicyOperation::Replace) { + s = forward_entries(pe, part.fresh, W, rq, before, pe.view, pe.can_forward, false, nullptr, &part.flow); + } else { + s = forward_entries(pe, part.fresh, W, rq, before, *part.view, view_active(*part.view), is(pe), pe.epoch.plan, + &part.flow); + } + break; + case Kind::BySource: s = finish_by_source(pe, rq, *part.view, part.flow, nullptr); break; + case Kind::ShortestPathsReplace: { + const PreparedReplace replaced {part.prep.program, part.prep.flows, before}; + s = finish_by_source(pe, rq, *part.view, part.flow, &replaced); + break; + } + } + // A full-offer call: its call_delivered is the whole new delivery, compared with the old one. + Amount old = 0; + for (const FlowRecord* r : current_records(pe)) old += r->delivered; + s.result.call_delivered = s.result.delivered; + s.result.delivery_delta = s.result.delivered - old; + s.result.call_undelivered = *rq.offer - s.result.call_delivered; + if (*rq.offer == 0) s.result.termination = Termination::Complete; + } + // The outputs after the whole list: one residual for every entry, each entry's boundary from its + // own sources and mask on it. + if (any_output(outputs)) { + std::vector after(carried); + for (const auto& s : pending) { + for (const auto& d : s.drafts) { + for (const auto& [e, x] : d.record.edge_flows) after[static_cast(e)] += x; + } + } + const auto baseline = LedgerAccess::baseline(ledger); + std::vector residual(after.size()); + for (std::size_t e = 0; e < residual.size(); ++e) residual[e] = baseline[e] - after[e]; + for (std::size_t i = 0; i < n; ++i) { + const PolicyEngine& pe = *list[i].engine; + PlacementResult& out = pending[i].result; + const auto m = residual.size(); + if (outputs.edge_reservations) { + std::vector held(m, 0); + for (const auto& d : pending[i].drafts) { + for (const auto& [e, x] : d.record.edge_reservations) held[static_cast(e)] += x; + } + out.edge_reservations = std::move(held); + } + if (outputs.edge_flows) { + std::vector own(m, 0); + for (const auto& d : pending[i].drafts) { + for (const auto& [e, x] : d.record.edge_flows) own[static_cast(e)] += x; + } + out.edge_flows = std::move(own); + } + if (outputs.saturated_boundary_edges) out.saturated_boundary_edges = saturated_boundary_edges_of(*pe.graph, residual, pe.sources, pe.eligibility); + if (outputs.residual) out.residual = residual; + } + } + std::vector results(n); + for (std::size_t i = 0; i < n; ++i) results[i] = std::move(pending[i].result); + publish_list(ledger, list, pending, std::vector(n, 1)); + return results; +} + } // namespace } // namespace detail @@ -2175,6 +2491,12 @@ PlacementResult detail::place_traced(FlowPolicy& policy, std::optional o } #endif +std::vector apply_actions(FlowLedger& ledger, std::span actions, BatchMode mode, const OutputOptions& outputs) { + auto list = detail::validate_list(ledger, actions, mode, outputs); + if (list.empty()) return {}; + return mode == BatchMode::Ordered ? detail::run_ordered(ledger, list, outputs) : detail::run_simultaneous(ledger, list, outputs); +} + void FlowPolicy::remove() { auto& pe = *engine_; (void)LedgerAccess::detach(pe.ledger, pe.policy_id); diff --git a/src/forwarding.cpp b/src/forwarding.cpp index c44f30d..08e89a8 100644 --- a/src/forwarding.cpp +++ b/src/forwarding.cpp @@ -2,12 +2,19 @@ The forwarding engine of programs (forwarding.hpp): views, the injection, the lossless bound and the loss rule. - A pooled program (one split context) runs on its plan's kernels: allocate and the T_max search - for the bound, forward() with its attribution for the losses. Every other program (tunnels and - supplied split routes, each split route a one-root context) runs on the general network of one - call: the union of its live entries' links, each link with its occurrences (a tunnel's hop, a - split route's member), and per split route its routers. Each occurrence belongs to one source - and one entry, so the loss rule at a link is two levels of highest averages. + A pooled program (one split context) called alone runs on its plan's kernels: allocate and the + T_max search for the bound, forward() with its attribution for the losses. Every other program + (tunnels and supplied split routes, each split route a one-root context), and every demand of a + SIMULTANEOUS list (lossy() over ForwardingDemand values, pooled ones included), runs on the + general network of one call: the union of the demands' live entries' links, each link with its + occurrences (a tunnel's hop, a split route's member; a pooled context's member once per source + whose traffic reaches it), and per split route its routers (a pooled router keeps one inflow per + source and attributes each member's amount to them by highest averages over their remaining + inflows, 5.1). Each occurrence belongs to one demand, one source and one entry, so the loss rule + at a link is three levels of highest averages: demands (in creation order), sources, entries. A + demand's black holes make its occurrences there dark: what reaches one is dropped at once; a + dark occurrence shares, loads and waits on no link (Lossless reads a black-holed link as serving + 0 instead). The evaluation (A+): the no-drop loads U0 first; serial normalization marks the second link of every transparent pair (equal free capacity, every occurrence of the first continuing on the @@ -25,8 +32,9 @@ iterated checks the whole result independently (every router's split, every link's rule and capacity, every continuation, the conservation of every entry) before anything is returned. - Amounts are int64 units below 2^62: a call's total bounds every arrival and load. The per-thread - scratch of the general network is rebuilt by every call before it is read. + Amounts are int64 units below 2^62: a demand's offer bounds its every arrival and load. A link's + sum over several demands is only compared with a free capacity below 2^62, so it saturates at + 2^62. The per-thread scratch of the general network is rebuilt by every call before it is read. */ #include "netgraph/core/detail/forwarding.hpp" @@ -570,46 +578,93 @@ ProgramFlow pooled_lossy(const ForwardingView& view, const AvailableCapacityFn& // ================================================================ the general network -// The live entries of one call (surviving, positive weight, a usable route) and the union of their -// links. A tunnel's occurrences are its hops in path order, a split route's its plan's members. +// A link sum over several demands can pass 2^63 (each demand's arrivals at a link stay below its +// offer, below 2^62); every such sum is only compared with a free capacity below 2^62, so it +// saturates at 2^62, exact for every comparison. +constexpr Amount kSumCap = Amount {1} << 62; +Amount saturating_add(Amount a, Amount b) noexcept { return b >= kSumCap - a ? kSumCap : a + b; } + +// The live entries of one forwarding of one or more demands (each surviving, of positive weight, +// with a usable route) and the union of their links. An item is a tunnel (its occurrences are its +// hops in path order), a one-root split route (its plan's members), or a pooled context (one item +// for the whole context: an occurrence per member and per head whose traffic can reach that +// member, by member then head, and per router position that is no destination a slot per head +// reaching it, which holds that head's inflow there). Items are ordered by (demand, head, entry +// index), so each link's occurrences come out in the loss rule's order. An occurrence on a link +// its demand's black holes exclude is dark (LOSSY only): it belongs to no link's list, so it never +// shares, loads or blocks that link; what reaches it is dropped there. LOSSLESS keeps no dark +// occurrence: a black-holed link serves 0 (the lossless bound). struct ForwardingNetwork { struct Item { - std::int32_t entry_position {0}; - std::int32_t source_index {0}; // view head + std::int32_t demand {0}; + std::int32_t entry_position {-1}; // its program entry (a pooled context: -1, one entry per head) + std::int32_t source_index {0}; // view head (a pooled context: its first) std::int32_t tunnel_position {-1}; const PreparedRoute* prepared_route {nullptr}; - std::int32_t source_position {-1}; + std::int32_t source_position {-1}; // a one-root split route: its root's plan position + bool pooled {false}; std::int32_t first_occurrence {0}; // its first occurrence std::int32_t num_occurrences {0}; - std::int32_t first_router_position {0}; // its first router (split routes: one per plan position) - // A split route's entry whose root is not in its plan: its share has no route. - [[nodiscard]] bool routeless() const noexcept { return tunnel_position < 0 && source_position < 0; } + std::int32_t first_router_position {0}; // its first router (split routes: one per plan position) + std::size_t first_member {0}; // pooled: its members' entries in member_occurrence_offsets (members + 1) + std::size_t first_position {0}; // pooled: its positions' entries in slot_offsets (positions + 1) + // A one-root split route's entry whose root is not in its plan: its share has no route. + [[nodiscard]] bool routeless() const noexcept { return tunnel_position < 0 && !pooled && source_position < 0; } [[nodiscard]] std::int32_t num_routers() const noexcept { return prepared_route == nullptr ? 0 : static_cast(prepared_route->topological_order.size()); } }; + std::vector views; // per demand std::vector entry_occurrences; - std::vector entry_occurrence_positions; // per program entry: its item, or -1 (or -2: a routeless entry) + // Per demand, per program entry: its item, or -1 (not forwarded), or -2 (a share with no route). + std::vector> entry_occurrence_positions; std::vector edges; // ascending std::vector available_capacity; // per link std::vector occurrence_edge_positions; // per occurrence - std::vector occurrence_entry_positions; + std::vector occurrence_entry_positions; // per occurrence: its item std::vector occurrence_route_positions; // tunnel: hop; split route: member + std::vector occurrence_heads; // per occurrence: its view head + std::vector occurrence_dark; // per occurrence: dropped where it arrives (empty: none can be) + bool any_dark {false}; // some occurrence is dark + std::int64_t max_link_occurrences {0}; // the most sharing occurrences of one link std::vector edge_occurrence_offsets; // per link + 1 into occurrences_by_edge - std::vector occurrences_by_edge; // occurrences, by (head NodeId, entry index) + std::vector occurrences_by_edge; // the sharing occurrences, by (demand, head, entry) std::int32_t num_router_positions {0}; std::vector router_entry_positions; // per router position: its item std::vector incoming_edge_positions; // per router position: its one in-member, -1 none, -2 several + // Pooled contexts: per member its first occurrence (members + 1 per item); per position its + // first slot (positions + 1 per item; a destination has none); per slot its head; per + // occurrence of a pooled item the slot of its member's head position for its head (-1 at a + // destination; -1 for other items). + std::vector member_occurrence_offsets; + std::vector slot_offsets; + std::vector slot_heads; + std::vector occurrence_slots; // empty without a pooled context + [[nodiscard]] bool dark(std::size_t o) const noexcept { return any_dark && occurrence_dark[o] != 0; } + std::vector member_tail_positions; // pooled: per member (aligned with member_occurrence_offsets) its tail position }; std::int32_t edge_position(const ForwardingNetwork& net, EdgeId e) { return static_cast(std::lower_bound(net.edges.begin(), net.edges.end(), e) - net.edges.begin()); } -// Every entry of the forwarding with a positive weight, by (head, entry index), to `visit` as its -// item before its positions in the network are set (first_occurrence, first_router_position): a -// tunnel with its hops, or a split route with its root's position in the plan and its members -// (none when routeless). +// A pooled view's heads as roots of its plan: per view head, its root's plan position (-1: no +// member, its share has no route). +std::vector pooled_root_positions(const ForwardingView& view) { + const PreparedRoute& plan = *view.prepared_route(0); + std::vector out(view.num_sources(), -1); + for (std::size_t h = 0; h < out.size(); ++h) { + const auto e = static_cast(view.entries_for_source(h).front()); + const auto r = view.context_source_index(e); + if (r >= 0) out[h] = plan.source_positions[static_cast(r)]; + } + return out; +} + +// Every entry of a non-pooled forwarding with a positive weight, by (head, entry index), to +// `visit` as its item before its positions in the network are set (first_occurrence, +// first_router_position): a tunnel with its hops, or a split route with its root's position in +// the plan and its members (none when routeless). template void for_each_forwarded_entry(const ForwardingView& view, Visit&& visit) { const ProgramData& p = *view.data; @@ -635,46 +690,194 @@ void for_each_forwarded_entry(const ForwardingView& view, Visit&& visit) { } } -ForwardingNetwork build_forwarding_network(const ForwardingView& view, const AvailableCapacityFn& free) { - const ProgramData& p = *view.data; +// A pooled plan's per-member tails (each member's tail position). +std::vector member_tails(const PreparedRoute& plan) { + std::vector tail(plan.forwarding_edges.size(), -1); + for (std::size_t pos = 0; pos < plan.topological_order.size(); ++pos) { + for (auto m = plan.outgoing_begin[pos]; m < plan.outgoing_end[pos]; ++m) tail[static_cast(m)] = static_cast(pos); + } + return tail; +} + +// A pooled context's counts before anything of the network is allocated: its forwarded entries +// (the heads with a route) and its occurrences (per such head, the members its traffic can reach: +// the members whose tail it reaches in the plan). Exact, in 64 bits. +std::pair pooled_counts(const ForwardingView& view) { + const PreparedRoute& plan = *view.prepared_route(0); + const auto roots = pooled_root_positions(view); + const std::size_t P = plan.topological_order.size(); + std::vector seen(P, -1); + std::vector stack; + std::int64_t entries = 0; + std::int64_t occurrences = 0; + for (std::size_t h = 0; h < roots.size(); ++h) { + if (roots[h] < 0) continue; + ++entries; + stack.assign(1, roots[h]); + seen[static_cast(roots[h])] = static_cast(h); + while (!stack.empty()) { + const auto pos = static_cast(stack.back()); + stack.pop_back(); + occurrences += plan.outgoing_end[pos] - plan.outgoing_begin[pos]; + for (auto m = plan.outgoing_begin[pos]; m < plan.outgoing_end[pos]; ++m) { + const auto q = static_cast(plan.edge_destination_positions[static_cast(m)]); + if (seen[q] == static_cast(h)) continue; + seen[q] = static_cast(h); + stack.push_back(static_cast(q)); + } + } + } + return {entries, occurrences}; +} + +// The network of `views` (one per demand, in the loss rule's demand order) on `free`. `lossy`: black +// holes make dark occurrences; otherwise a black-holed link serves 0 (the lossless bound). +ForwardingNetwork build_forwarding_network(std::span views, const AvailableCapacityFn& free, + bool lossy) { // The network's counts, exactly, after validation and before any of its arrays is sized: the - // forwarded entries (positive weight, with a route), their occurrences and the split routes' - // routers. A refusal changes nothing. + // forwarded entries (positive weight, with a route; a pooled context's heads with a route), their + // occurrences and the split routes' routers (a pooled context's once). A refusal changes nothing. std::int64_t num_entries = 0; std::int64_t num_occurrences = 0; std::int64_t num_routers = 0; - for_each_forwarded_entry(view, [&](const ForwardingNetwork::Item& it) { - if (it.routeless()) return; - ++num_entries; - num_occurrences += it.num_occurrences; - num_routers += it.num_routers(); - }); + for (const ForwardingView* view : views) { + if (view->pooled) { + const auto [e, o] = pooled_counts(*view); + num_entries += e; + num_occurrences += o; + num_routers += static_cast(view->prepared_route(0)->topological_order.size()); + continue; + } + for_each_forwarded_entry(*view, [&](const ForwardingNetwork::Item& it) { + if (it.routeless()) return; + ++num_entries; + num_occurrences += it.num_occurrences; + num_routers += it.num_routers(); + }); + } check_forwarding_count(ForwardingCounter::Entry, num_entries); check_forwarding_count(ForwardingCounter::Occurrence, num_occurrences); check_forwarding_count(ForwardingCounter::Router, num_routers); ForwardingNetwork net; - net.entry_occurrence_positions.assign(p.entries.size(), -1); - for_each_forwarded_entry(view, [&](ForwardingNetwork::Item it) { - const auto e = static_cast(it.entry_position); - if (it.routeless()) { - net.entry_occurrence_positions[e] = -2; // its share has no route: lost at the source - return; - } - if (it.prepared_route != nullptr) { + net.views.assign(views.begin(), views.end()); + net.entry_occurrence_positions.resize(views.size()); + for (std::size_t d = 0; d < views.size(); ++d) { + const ForwardingView& view = *views[d]; + auto& positions = net.entry_occurrence_positions[d]; + positions.assign(view.data->entries.size(), -1); + if (view.pooled) { + ForwardingNetwork::Item it; + it.demand = static_cast(d); + it.pooled = true; + it.prepared_route = view.prepared_route(0).get(); it.first_router_position = net.num_router_positions; net.num_router_positions += it.num_routers(); + const auto roots = pooled_root_positions(view); + bool any = false; + for (std::size_t h = 0; h < roots.size(); ++h) { + const auto e = static_cast(view.entries_for_source(h).front()); + if (roots[h] < 0) { + positions[e] = -2; // its share has no route: lost at the source + continue; + } + if (!any) it.source_index = static_cast(h); + any = true; + positions[e] = static_cast(net.entry_occurrences.size()); + } + net.entry_occurrences.push_back(it); + continue; } - net.entry_occurrence_positions[e] = static_cast(net.entry_occurrences.size()); - net.entry_occurrences.push_back(it); - }); + for_each_forwarded_entry(view, [&](ForwardingNetwork::Item it) { + it.demand = static_cast(d); + const auto e = static_cast(it.entry_position); + if (it.routeless()) { + positions[e] = -2; // its share has no route: lost at the source + return; + } + if (it.prepared_route != nullptr) { + it.first_router_position = net.num_router_positions; + net.num_router_positions += it.num_routers(); + } + positions[e] = static_cast(net.entry_occurrences.size()); + net.entry_occurrences.push_back(it); + }); + } + // Pooled contexts: the heads reaching each position (in topological order: its roots and the + // heads of its in-members' tails), the members' occurrences and the positions' slots. + std::vector heads_offsets; // per position of the current item + 1 + std::vector heads; // the heads per position, ascending + std::vector stamp; + std::vector in_offsets; + std::vector in_members; std::int32_t nocc = 0; for (auto& it : net.entry_occurrences) { it.first_occurrence = nocc; - nocc += it.num_occurrences; + if (!it.pooled) { + nocc += it.num_occurrences; + continue; + } + const ForwardingView& view = *net.views[static_cast(it.demand)]; + const PreparedRoute& plan = *it.prepared_route; + const std::size_t P = plan.topological_order.size(); + const std::size_t M = plan.forwarding_edges.size(); + const auto roots = pooled_root_positions(view); + const auto tails = member_tails(plan); + in_offsets.assign(P + 1, 0); + for (std::size_t m = 0; m < M; ++m) ++in_offsets[static_cast(plan.edge_destination_positions[m]) + 1]; + for (std::size_t q = 0; q < P; ++q) in_offsets[q + 1] += in_offsets[q]; + in_members.resize(M); + { + std::vector fill(in_offsets.begin(), in_offsets.end() - 1); + for (std::size_t m = 0; m < M; ++m) in_members[static_cast(fill[static_cast(plan.edge_destination_positions[m])]++)] = static_cast(m); + } + std::vector> roots_at(P); + for (std::size_t h = 0; h < roots.size(); ++h) { + if (roots[h] >= 0) roots_at[static_cast(roots[h])].push_back(static_cast(h)); + } + stamp.assign(roots.size(), -1); + heads_offsets.assign(P + 1, 0); + heads.clear(); + for (std::size_t q = 0; q < P; ++q) { + const auto first = heads.size(); + auto add = [&](std::int32_t h) { + if (stamp[static_cast(h)] == static_cast(q)) return; + stamp[static_cast(h)] = static_cast(q); + heads.push_back(h); + }; + for (auto h : roots_at[q]) add(h); + for (auto i = in_offsets[q]; i < in_offsets[q + 1]; ++i) { + const auto t = static_cast(tails[static_cast(in_members[static_cast(i)])]); + for (auto k = heads_offsets[t]; k < heads_offsets[t + 1]; ++k) add(heads[static_cast(k)]); + } + std::sort(heads.begin() + static_cast(first), heads.end()); + heads_offsets[q + 1] = static_cast(heads.size()); + } + it.first_member = net.member_occurrence_offsets.size(); + std::int32_t count = 0; + for (std::size_t m = 0; m < M; ++m) { + net.member_occurrence_offsets.push_back(nocc + count); + net.member_tail_positions.push_back(tails[m]); + const auto t = static_cast(tails[m]); + count += heads_offsets[t + 1] - heads_offsets[t]; + } + net.member_occurrence_offsets.push_back(nocc + count); + net.member_tail_positions.push_back(-1); + it.num_occurrences = count; + it.first_position = net.slot_offsets.size(); + for (std::size_t q = 0; q < P; ++q) { + net.slot_offsets.push_back(static_cast(net.slot_heads.size())); + if (plan.is_destination[q] != 0) continue; + for (auto k = heads_offsets[q]; k < heads_offsets[q + 1]; ++k) net.slot_heads.push_back(heads[static_cast(k)]); + } + net.slot_offsets.push_back(static_cast(net.slot_heads.size())); + nocc += count; + } + if (nocc != num_occurrences) throw std::logic_error("forwarding: the network's occurrences differ from their count"); + for (const auto& it : net.entry_occurrences) { if (it.tunnel_position >= 0) { - const auto edges = path_of(p.tunnels[static_cast(it.tunnel_position)]); + const auto edges = path_of(net.views[static_cast(it.demand)]->data->tunnels[static_cast(it.tunnel_position)]); net.edges.insert(net.edges.end(), edges.begin(), edges.end()); - } else { + } else if (it.num_occurrences != 0) { net.edges.insert(net.edges.end(), it.prepared_route->forwarding_edges.begin(), it.prepared_route->forwarding_edges.end()); } } @@ -682,22 +885,71 @@ ForwardingNetwork build_forwarding_network(const ForwardingView& view, const Ava net.edges.erase(std::unique(net.edges.begin(), net.edges.end()), net.edges.end()); net.available_capacity.resize(net.edges.size()); free(net.edges, net.available_capacity); - for (std::size_t l = 0; view.black_holes != nullptr && l < net.edges.size(); ++l) { - if (!view.black_holes->allows_edge(net.edges[l])) net.available_capacity[l] = 0; + if (!lossy) { + // The lossless bound reads a black-holed link as serving 0 (one view: lossless has no list). + for (const ForwardingView* view : views) { + for (std::size_t l = 0; view->black_holes != nullptr && l < net.edges.size(); ++l) { + if (!view->black_holes->allows_edge(net.edges[l])) net.available_capacity[l] = 0; + } + } } const auto n = static_cast(nocc); net.occurrence_edge_positions.resize(n); net.occurrence_entry_positions.resize(n); net.occurrence_route_positions.resize(n); + net.occurrence_heads.resize(n); + // The dark flags only where a black hole can apply (LOSSY), the slots only for pooled contexts. + bool can_be_dark = false; + bool any_pooled = false; + for (const ForwardingView* v : net.views) { + can_be_dark = can_be_dark || (lossy && v->black_holes != nullptr); + any_pooled = any_pooled || v->pooled; + } + if (can_be_dark) net.occurrence_dark.assign(n, 0); + if (any_pooled) net.occurrence_slots.assign(n, -1); for (std::size_t i = 0; i < net.entry_occurrences.size(); ++i) { const auto& it = net.entry_occurrences[i]; - for (std::int32_t j = 0; j < it.num_occurrences; ++j) { - const auto o = static_cast(it.first_occurrence + j); - const EdgeId e = it.tunnel_position >= 0 ? path_of(p.tunnels[static_cast(it.tunnel_position)])[static_cast(j)] - : it.prepared_route->forwarding_edges[static_cast(j)]; + const ForwardingView& view = *net.views[static_cast(it.demand)]; + const Eligibility* dark = lossy ? view.black_holes : nullptr; + auto set = [&](std::size_t o, EdgeId e, std::int32_t j, std::int32_t head) { net.occurrence_edge_positions[o] = edge_position(net, e); net.occurrence_entry_positions[o] = static_cast(i); net.occurrence_route_positions[o] = j; + net.occurrence_heads[o] = head; + if (dark != nullptr && !dark->allows_edge(e)) { + net.occurrence_dark[o] = 1; + net.any_dark = true; + } + }; + if (!it.pooled) { + for (std::int32_t j = 0; j < it.num_occurrences; ++j) { + const auto o = static_cast(it.first_occurrence + j); + const EdgeId e = it.tunnel_position >= 0 ? path_of(view.data->tunnels[static_cast(it.tunnel_position)])[static_cast(j)] + : it.prepared_route->forwarding_edges[static_cast(j)]; + set(o, e, j, it.source_index); + } + continue; + } + const PreparedRoute& plan = *it.prepared_route; + const std::size_t M = plan.forwarding_edges.size(); + for (std::size_t m = 0; m < M; ++m) { + const auto t = static_cast(net.member_tail_positions[it.first_member + m]); + const auto q = static_cast(plan.edge_destination_positions[m]); + const auto first = static_cast(net.member_occurrence_offsets[it.first_member + m]); + const auto tail_slots = static_cast(net.slot_offsets[it.first_position + t]); + const auto num = static_cast(net.member_occurrence_offsets[it.first_member + m + 1]) - first; + const auto head_slots = std::span(net.slot_heads).subspan( + static_cast(net.slot_offsets[it.first_position + q]), + static_cast(net.slot_offsets[it.first_position + q + 1] - net.slot_offsets[it.first_position + q])); + for (std::size_t k = 0; k < num; ++k) { + const auto o = first + k; + const auto head = net.slot_heads[tail_slots + k]; // the heads of the tail, ascending + set(o, plan.forwarding_edges[m], static_cast(m), head); + if (plan.is_destination[q] == 0) { + const auto at = std::lower_bound(head_slots.begin(), head_slots.end(), head); + net.occurrence_slots[o] = net.slot_offsets[it.first_position + q] + static_cast(at - head_slots.begin()); + } + } } } net.router_entry_positions.resize(static_cast(net.num_router_positions)); @@ -705,37 +957,82 @@ ForwardingNetwork build_forwarding_network(const ForwardingView& view, const Ava for (std::size_t i = 0; i < net.entry_occurrences.size(); ++i) { const auto& it = net.entry_occurrences[i]; if (it.tunnel_position >= 0) continue; - for (std::size_t pos = 0; pos < it.prepared_route->topological_order.size(); ++pos) net.router_entry_positions[static_cast(it.first_router_position) + pos] = static_cast(i); - for (std::int32_t m = 0; m < it.num_occurrences; ++m) { - auto& slot = net.incoming_edge_positions[static_cast(it.first_router_position + it.prepared_route->edge_destination_positions[static_cast(m)])]; - slot = slot == -1 ? m : -2; + const auto& plan = *it.prepared_route; + for (std::size_t pos = 0; pos < plan.topological_order.size(); ++pos) net.router_entry_positions[static_cast(it.first_router_position) + pos] = static_cast(i); + if (it.num_occurrences == 0) continue; + for (std::size_t m = 0; m < plan.forwarding_edges.size(); ++m) { + auto& slot = net.incoming_edge_positions[static_cast(it.first_router_position + plan.edge_destination_positions[m])]; + slot = slot == -1 ? static_cast(m) : -2; } } net.edge_occurrence_offsets.assign(net.edges.size() + 1, 0); - for (auto l : net.occurrence_edge_positions) ++net.edge_occurrence_offsets[static_cast(l) + 1]; - for (std::size_t l = 0; l < net.edges.size(); ++l) net.edge_occurrence_offsets[l + 1] += net.edge_occurrence_offsets[l]; - net.occurrences_by_edge.resize(n); + for (std::size_t o = 0; o < n; ++o) { + if (!net.dark(o)) ++net.edge_occurrence_offsets[static_cast(net.occurrence_edge_positions[o]) + 1]; + } + for (std::size_t l = 0; l < net.edges.size(); ++l) { + net.max_link_occurrences = std::max(net.max_link_occurrences, net.edge_occurrence_offsets[l + 1]); + net.edge_occurrence_offsets[l + 1] += net.edge_occurrence_offsets[l]; + } + net.occurrences_by_edge.resize(static_cast(net.edge_occurrence_offsets.back())); std::vector fill(net.edge_occurrence_offsets.begin(), net.edge_occurrence_offsets.end() - 1); - // Occurrences are numbered by item, items by (head, entry index): each link's list comes out in - // the loss rule's order (sources ascending, then entries ascending). - for (std::size_t o = 0; o < n; ++o) net.occurrences_by_edge[static_cast(fill[static_cast(net.occurrence_edge_positions[o])]++)] = static_cast(o); + // Occurrences are numbered by item, items by (demand, head, entry index), a pooled item's by + // member then head: each link's list comes out in the loss rule's order (demands, then heads + // ascending, then entries ascending). + for (std::size_t o = 0; o < n; ++o) { + if (net.dark(o)) continue; + net.occurrences_by_edge[static_cast(fill[static_cast(net.occurrence_edge_positions[o])]++)] = static_cast(o); + } return net; } -// The no-drop loads of the entries' shares per link (and per occurrence when `occ` is given). -// A split route allocates its share over its plan from its root. -void no_drop(const ForwardingNetwork& net, std::span share, std::vector& load, std::vector* occ, - std::vector& scratch) { - load.assign(net.edges.size(), 0); - if (occ != nullptr) occ->assign(net.occurrence_edge_positions.size(), 0); +// One no-drop pass; Checked: dark occurrences skipped and link sums saturated, else plain sums +// (no_drop takes the plain pass only where nothing is dark and no sum can reach kSumCap, where +// both give the same loads). +template +void no_drop_pass(const ForwardingNetwork& net, std::span> shares, std::vector& load, + std::vector* occ, std::vector& scratch) { + auto add = [&](std::size_t o, Amount x) { + if constexpr (Checked) { + if (net.dark(o)) return; + auto& y = load[static_cast(net.occurrence_edge_positions[o])]; + y = saturating_add(y, x); + } else { + load[static_cast(net.occurrence_edge_positions[o])] += x; + } + }; + std::vector inject; for (const auto& it : net.entry_occurrences) { + const auto& share = shares[static_cast(it.demand)]; + if (it.pooled) { + const ForwardingView& view = *net.views[static_cast(it.demand)]; + const PreparedRoute& plan = *it.prepared_route; + inject.assign(plan.sources.size(), 0); + bool any = false; + for (std::size_t h = 0; h < view.num_sources(); ++h) { + const auto e = static_cast(view.entries_for_source(h).front()); + const auto r = view.context_source_index(e); + if (r < 0 || plan.source_positions[static_cast(r)] < 0) continue; + inject[static_cast(r)] = share[e]; + any = any || share[e] != 0; + } + if (!any) continue; + const auto fw = forward(plan, Injection {inject, false}, {}); + for (std::size_t m = 0; m < plan.forwarding_edges.size(); ++m) { + const auto o = static_cast(net.member_occurrence_offsets[it.first_member + m]); + const auto end = static_cast(net.member_occurrence_offsets[it.first_member + m + 1]); + if (fw.edge_flows[m] == 0 || o == end) continue; + if (occ != nullptr) std::fill(occ->begin() + static_cast(o), occ->begin() + static_cast(end), fw.edge_flows[m]); + add(o, fw.edge_flows[m]); + } + continue; + } const Amount s = share[static_cast(it.entry_position)]; if (s == 0) continue; if (it.tunnel_position >= 0) { for (std::int32_t j = 0; j < it.num_occurrences; ++j) { const auto o = static_cast(it.first_occurrence + j); - load[static_cast(net.occurrence_edge_positions[o])] += s; if (occ != nullptr) (*occ)[o] = s; + add(o, s); } continue; } @@ -743,12 +1040,35 @@ void no_drop(const ForwardingNetwork& net, std::span share, std::v (void)allocate(*it.prepared_route, s, scratch); for (std::int32_t j = 0; j < it.num_occurrences; ++j) { const auto o = static_cast(it.first_occurrence + j); - load[static_cast(net.occurrence_edge_positions[o])] += scratch[static_cast(j)]; if (occ != nullptr) (*occ)[o] = scratch[static_cast(j)]; + add(o, scratch[static_cast(j)]); } } } +// The no-drop loads per link of every demand's shares (`shares[d]`: per program entry of demand +// d), and per occurrence when `occ` is given (a pooled context's occurrences: their member's flow, +// whatever their heads). A split route allocates its +// share over its plan from its root; a pooled context forwards its heads' shares over its plan +// without a limit. A dark occurrence loads no link; link sums saturate (kSumCap). +void no_drop(const ForwardingNetwork& net, std::span> shares, std::vector& load, + std::vector* occ, std::vector& scratch) { + load.assign(net.edges.size(), 0); + if (occ != nullptr) occ->assign(net.occurrence_edge_positions.size(), 0); + // Every occurrence carries at most the sum of all shares (a pooled member at most its demand's), + // so a link's sum stays below total * max_link_occurrences: below kSumCap, plain sums are exact. + Amount total = 0; + for (const auto& share : shares) { + for (Amount x : share) total = saturating_add(total, x); + } + const bool plain = !net.any_dark && (net.max_link_occurrences == 0 || total < kSumCap / net.max_link_occurrences); + if (plain) { + no_drop_pass(net, shares, load, occ, scratch); + } else { + no_drop_pass(net, shares, load, occ, scratch); + } +} + // The router split of a split route's plan position p: round robin or highest averages over // its out-members. void split_at(const PreparedRoute& plan, std::size_t pos, Amount amount, std::span out) { @@ -763,51 +1083,101 @@ void split_at(const PreparedRoute& plan, std::size_t pos, Amount amount, std::sp } } -// The loss rule at one link: T = min(V, sum of the arrivals); highest averages over the sources' -// arrivals, then within a source over its entries'. `occs` lists the link's occurrences by -// (source, entry); writes their carried amounts. +// The loss rule's scratch (per call). +struct LossScratch { + std::vector wd; // per demand run: its arrivals + std::vector td; // per demand run: its share of T + std::vector demand_run; + std::vector wa; + std::vector wb; + std::vector run; + std::vector w; + std::vector c; +}; + +// Within one demand's run occs[b, e): highest averages of T over its sources' arrivals, then +// within a source over its entries'. +void source_levels(const ForwardingNetwork& net, std::span occs, std::size_t b, std::size_t e, Amount T, + std::span arrival, std::span carried, LossScratch& s) { + // One positive arrival takes T whole (highest averages over one positive weight). + if (e - b == 1 && arrival[static_cast(occs[b])] > 0) { + carried[static_cast(occs[b])] = T; + return; + } + s.wa.clear(); + s.run.clear(); // the first index of each source's run + for (std::size_t i = b; i < e; ++i) { + const auto head = net.occurrence_heads[static_cast(occs[i])]; + if (i == b || head != net.occurrence_heads[static_cast(occs[i - 1])]) { + s.run.push_back(i); + s.wa.push_back(0); + } + s.wa.back() += arrival[static_cast(occs[i])]; + } + s.run.push_back(e); + s.wb.resize(s.wa.size()); + highest_averages(T, s.wa, s.wb); + for (std::size_t k = 0; k + 1 < s.run.size(); ++k) { + const std::size_t rb = s.run[k]; + const std::size_t re = s.run[k + 1]; + if (re - rb == 1 && arrival[static_cast(occs[rb])] > 0) { + carried[static_cast(occs[rb])] = s.wb[k]; + continue; + } + s.w.resize(re - rb); + s.c.resize(re - rb); + for (std::size_t i = rb; i < re; ++i) s.w[i - rb] = arrival[static_cast(occs[i])]; + highest_averages(s.wb[k], s.w, s.c); + for (std::size_t i = rb; i < re; ++i) carried[static_cast(occs[i])] = s.c[i - rb]; + } +} + +// The loss rule at one link: T = min(V, sum of the arrivals); highest averages over the +// demands' arrivals (one demand takes T whole), then within a demand over its sources', then +// within a source over its entries'. `occs` lists the link's sharing occurrences by (demand, +// source, entry); writes their carried amounts. void loss_rule(const ForwardingNetwork& net, std::span occs, Amount V, std::span arrival, - std::span carried, std::vector& wa, std::vector& wb) { + std::span carried, LossScratch& s) { Amount sum = 0; - for (auto o : occs) sum += arrival[static_cast(o)]; + for (auto o : occs) sum = saturating_add(sum, arrival[static_cast(o)]); if (sum <= V) { for (auto o : occs) carried[static_cast(o)] = arrival[static_cast(o)]; return; } - // The source groups: consecutive runs of one head. - wa.clear(); - std::vector run; // the first index of each source's run + // The demand runs: consecutive runs of one demand (each demand's arrivals sum below 2^62). + s.wd.clear(); + s.demand_run.clear(); for (std::size_t i = 0; i < occs.size(); ++i) { - const auto head = net.entry_occurrences[static_cast(net.occurrence_entry_positions[static_cast(occs[i])])].source_index; - if (i == 0 || head != net.entry_occurrences[static_cast(net.occurrence_entry_positions[static_cast(occs[i - 1])])].source_index) { - run.push_back(i); - wa.push_back(0); + const auto d = net.entry_occurrences[static_cast(net.occurrence_entry_positions[static_cast(occs[i])])].demand; + if (i == 0 || d != net.entry_occurrences[static_cast(net.occurrence_entry_positions[static_cast(occs[i - 1])])].demand) { + s.demand_run.push_back(i); + s.wd.push_back(0); } - wa.back() += arrival[static_cast(occs[i])]; + s.wd.back() += arrival[static_cast(occs[i])]; } - run.push_back(occs.size()); - wb.resize(wa.size()); - highest_averages(V, wa, wb); - std::vector w; - std::vector c; - for (std::size_t s = 0; s + 1 < run.size(); ++s) { - const std::size_t b = run[s]; - const std::size_t e = run[s + 1]; - w.resize(e - b); - c.resize(e - b); - for (std::size_t i = b; i < e; ++i) w[i - b] = arrival[static_cast(occs[i])]; - highest_averages(wb[s], w, c); - for (std::size_t i = b; i < e; ++i) carried[static_cast(occs[i])] = c[i - b]; + s.demand_run.push_back(occs.size()); + if (s.wd.size() == 1) { + source_levels(net, occs, 0, occs.size(), V, arrival, carried, s); + return; + } + s.td.resize(s.wd.size()); + highest_averages(V, s.wd, s.td); + // source_levels uses none of the demand level's scratch. + for (std::size_t k = 0; k + 1 < s.demand_run.size(); ++k) { + source_levels(net, occs, s.demand_run[k], s.demand_run[k + 1], s.td[k], arrival, carried, s); } } // ---------------------------------------------------------------- the general lossless bound ProgramFlow general_lossless(const ForwardingView& view, const AvailableCapacityFn& free, Amount lo, std::optional hi) { - const ForwardingNetwork net = build_forwarding_network(view, free); + const ForwardingView* const views[] = {&view}; + const ForwardingNetwork net = build_forwarding_network(views, free, false); + const auto& positions = net.entry_occurrence_positions.front(); const std::size_t k = view.num_sources(); std::vector heads(k); - std::vector share; + std::vector> shares(1); + auto& share = shares.front(); std::vector source_drops_by_source; std::vector w; std::vector part; @@ -824,9 +1194,9 @@ ProgramFlow general_lossless(const ForwardingView& view, const AvailableCapacity if (x != 0) return false; } for (std::size_t e = 0; e < share.size(); ++e) { - if (share[e] != 0 && net.entry_occurrence_positions[e] == -2) return false; // a share with no route + if (share[e] != 0 && positions[e] == -2) return false; // a share with no route } - no_drop(net, share, load, nullptr, scratch); + no_drop(net, shares, load, nullptr, scratch); for (std::size_t l = 0; l < load.size(); ++l) { if (load[l] > net.available_capacity[l]) return false; } @@ -877,7 +1247,7 @@ ProgramFlow general_lossless(const ForwardingView& view, const AvailableCapacity source_shares(view, best, out.offered_by_source); entry_shares(view, out.offered_by_source, share, source_drops_by_source, w, part); std::vector occ; - no_drop(net, share, load, &occ, scratch); + no_drop(net, shares, load, &occ, scratch); for (std::size_t l = 0; l < load.size(); ++l) { if (load[l] > net.available_capacity[l]) throw std::logic_error("forwarding: the admitted total does not fit"); } @@ -898,35 +1268,54 @@ ProgramFlow general_lossless(const ForwardingView& view, const AvailableCapacity // ---------------------------------------------------------------- the general loss rule (A+) +// The loss rule over every demand of one network at once: A+ where arrivals are +// determined, the cyclic groups iterated, an independent check of an iterated result. One demand +// of a non-pooled program is the scalar call's evaluation. class LossyForwardingEvaluator { public: - LossyForwardingEvaluator(const ForwardingView& view, const ForwardingNetwork& net) : view_(view), net_(net) {} + explicit LossyForwardingEvaluator(const ForwardingNetwork& net) : net_(net) {} - ProgramFlow run(std::span injections); + // Per demand its per-head injections; one ProgramFlow per demand. + std::vector run(std::span> injections); private: // Event ids: barriers [0, nb), routers [nb, nb + num_pos). [[nodiscard]] std::int32_t router(const ForwardingNetwork::Item& it, std::int32_t pos) const noexcept { return num_barriers_ + it.first_router_position + pos; } + [[nodiscard]] bool dark(std::int32_t o) const noexcept { return net_.dark(static_cast(o)); } + // A dark occurrence is no event (what reaches it is dropped at once). [[nodiscard]] std::int32_t event_of_occ(std::int32_t o) const noexcept { + if (dark(o)) return -1; return barrier_[static_cast(net_.occurrence_edge_positions[static_cast(o)])]; } // A push into event `ev` is suppressed while a group iterates and ev lies outside it. [[nodiscard]] bool blocked(std::int32_t ev) const noexcept { return iterating_ && scc_[static_cast(ev)] != current_component_; } + [[nodiscard]] const ForwardingNetwork::Item& item_of(std::int32_t o) const noexcept { + return net_.entry_occurrences[static_cast(net_.occurrence_entry_positions[static_cast(o)])]; + } + // A pooled item's slots at position pos (a destination: none). + [[nodiscard]] std::pair slots(const ForwardingNetwork::Item& it, std::size_t pos) const noexcept { + return {net_.slot_offsets[it.first_position + pos], net_.slot_offsets[it.first_position + pos + 1]}; + } + [[nodiscard]] std::int32_t member_occurrence(const ForwardingNetwork::Item& it, std::size_t m) const noexcept { + return net_.member_occurrence_offsets[it.first_member + m]; + } void normalize_serial_links(std::span U0); void build_events(); void find_strong_components(); + void reach(std::int32_t o, Amount x); void carry(std::int32_t o, Amount c); void split(std::int32_t ev); void evaluate_barrier(std::int32_t ev); void iterate(std::int32_t scc); - void verify(std::span share) const; + void verify() const; - const ForwardingView& view_; const ForwardingNetwork& net_; - std::vector occurrence_source_positions_; // per occurrence of a split route: its member's tail position + std::vector> shares_; // per demand, per program entry + std::vector occurrence_source_positions_; // per occurrence of a split route: its member's tail position + std::vector root_position_; // per router position: a root of its item's heads std::vector transparent_; // per link: the second link of a transparent pair std::vector barrier_; // per link: its event, or -1 (a pass-through) std::vector barrier_link_; @@ -938,21 +1327,26 @@ class LossyForwardingEvaluator { std::int32_t num_scc_ {0}; bool iterating_ {false}; std::int32_t current_component_ {-1}; + std::vector possible_; // per occurrence: its no-drop amount (a pooled member's flow) std::vector arrival_; std::vector carried_; - std::vector inflow_; // per router position - std::vector delivered_; // per item + std::vector inflow_; // per router position (one-root split routes) + std::vector slot_inflow_; // per slot (pooled contexts) + std::vector delivered_; // per item (tunnels and one-root split routes) + std::vector> head_delivered_; // per demand: a pooled context's per head std::vector outgoing_shares_; - std::vector source_arrivals_; - std::vector source_carries_; + std::vector remaining_; + std::vector row_; + LossScratch loss_; bool iterated_ {false}; }; void LossyForwardingEvaluator::normalize_serial_links(std::span U0) { const std::size_t L = net_.edges.size(); transparent_.assign(L, 0); - // Per link: the one link every occurrence continues on, and the one every occurrence comes from - // (-1: none yet; -2: they differ, or an occurrence is injected, absorbed, merged or split there). + // Per link: the one link every sharing occurrence continues on, and the one every sharing + // occurrence comes from (-1: none yet; -2: they differ, or an occurrence is injected, absorbed, + // merged or split there, or its neighbour on its route is dark). std::vector next(L, -1); std::vector prev(L, -1); auto merge = [](std::int32_t& slot, std::int32_t v) { @@ -962,29 +1356,45 @@ void LossyForwardingEvaluator::normalize_serial_links(std::span U0 slot = -2; } }; + // The link of occurrence o, or -2 when it is dark. + auto link_of = [&](std::int32_t o) { return dark(o) ? -2 : net_.occurrence_edge_positions[static_cast(o)]; }; for (std::size_t o = 0; o < net_.occurrence_edge_positions.size(); ++o) { + if (net_.dark(o)) continue; const auto l = static_cast(net_.occurrence_edge_positions[o]); const auto& it = net_.entry_occurrences[static_cast(net_.occurrence_entry_positions[o])]; const std::int32_t j = net_.occurrence_route_positions[o]; std::int32_t succ = -2; std::int32_t pred = -2; if (it.tunnel_position >= 0) { - if (j + 1 < it.num_occurrences) succ = net_.occurrence_edge_positions[static_cast(it.first_occurrence + j + 1)]; - if (j > 0) pred = net_.occurrence_edge_positions[static_cast(it.first_occurrence + j - 1)]; + if (j + 1 < it.num_occurrences) succ = link_of(static_cast(o) + 1); + if (j > 0) pred = link_of(static_cast(o) - 1); } else { const auto& plan = *it.prepared_route; + const auto base = static_cast(it.first_router_position); + // The occurrence of member m on this occurrence's route (a pooled context: the same head's). + auto on_member = [&](std::int32_t m) -> std::int32_t { + if (!it.pooled) return it.first_occurrence + m; + // A member's occurrences ascend by head. + const auto b = net_.occurrence_heads.begin(); + const auto first = b + member_occurrence(it, static_cast(m)); + const auto last = b + member_occurrence(it, static_cast(m) + 1); + const auto at = std::lower_bound(first, last, net_.occurrence_heads[o]); + return at != last && *at == net_.occurrence_heads[o] ? static_cast(at - b) : -1; + }; // Continues: its head is no destination and no root, holds this member alone as its // in-member and has one out-member. const auto q = static_cast(plan.edge_destination_positions[static_cast(j)]); - if (plan.is_destination[q] == 0 && static_cast(q) != it.source_position && - plan.outgoing_end[q] - plan.outgoing_begin[q] == 1 && net_.incoming_edge_positions[static_cast(it.first_router_position) + q] == j) { - succ = net_.occurrence_edge_positions[static_cast(it.first_occurrence + plan.outgoing_begin[q])]; + if (plan.is_destination[q] == 0 && root_position_[base + q] == 0 && plan.outgoing_end[q] - plan.outgoing_begin[q] == 1 && + net_.incoming_edge_positions[base + q] == j) { + const auto x = on_member(plan.outgoing_begin[q]); + if (x >= 0) succ = link_of(x); } // Comes from: its tail is no root, has one in-member and this one out-member. - const auto t = static_cast(occurrence_source_positions_[static_cast(it.first_occurrence + j)]); - const auto in = net_.incoming_edge_positions[static_cast(it.first_router_position) + t]; - if (static_cast(t) != it.source_position && in >= 0 && plan.outgoing_end[t] - plan.outgoing_begin[t] == 1) { - pred = net_.occurrence_edge_positions[static_cast(it.first_occurrence + in)]; + const auto t = static_cast(occurrence_source_positions_[o]); + const auto in = net_.incoming_edge_positions[base + t]; + if (root_position_[base + t] == 0 && in >= 0 && plan.outgoing_end[t] - plan.outgoing_begin[t] == 1) { + const auto x = on_member(in); + if (x >= 0) pred = link_of(x); } } merge(next[l], succ); @@ -1014,11 +1424,15 @@ void LossyForwardingEvaluator::normalize_serial_links(std::span U0 void LossyForwardingEvaluator::build_events() { // Every dependency arc, to `emit`: an event before the next one on its tunnel; on a split route - // a member's tail router before its event (a member that can drop) and that event before the - // head router, or the tail before the head. + // (a pooled context: per member, whatever its heads) a member's tail router before its event (a + // member that can drop) and that event before the head router, or the tail before the head. + // Only through an occurrence that can carry something: a tunnel whose share is 0 and a member + // whose no-drop amount is 0 (splits are monotone: it never receives anything) add no arc, so + // they make no link wait and join no group. auto arcs = [&](auto&& emit) { for (const auto& it : net_.entry_occurrences) { if (it.tunnel_position >= 0) { + if (it.num_occurrences != 0 && possible_[static_cast(it.first_occurrence)] == 0) continue; std::int32_t last = -1; for (std::int32_t j = 0; j < it.num_occurrences; ++j) { const auto ev = event_of_occ(it.first_occurrence + j); @@ -1028,10 +1442,16 @@ void LossyForwardingEvaluator::build_events() { } continue; } + if (it.num_occurrences == 0) continue; const auto& plan = *it.prepared_route; for (std::size_t pos = 0; pos < plan.topological_order.size(); ++pos) { for (auto m = plan.outgoing_begin[pos]; m < plan.outgoing_end[pos]; ++m) { - const auto o = it.first_occurrence + m; + std::int32_t o = it.first_occurrence + m; + if (it.pooled) { + o = member_occurrence(it, static_cast(m)); + if (o == member_occurrence(it, static_cast(m) + 1)) continue; // no head reaches it + } + if (possible_[static_cast(o)] == 0) continue; const auto from = router(it, static_cast(pos)); const auto to = router(it, plan.edge_destination_positions[static_cast(m)]); const auto ev = event_of_occ(o); @@ -1048,6 +1468,9 @@ void LossyForwardingEvaluator::build_events() { std::int64_t count = 0; arcs([&](std::int32_t, std::int32_t) { ++count; }); check_forwarding_count(ForwardingCounter::Dependency, count); +#if NETGRAPH_CORE_PRIVATE_HOOKS + ++thread_lossy_counters().event_structures; +#endif std::vector> edges; edges.reserve(static_cast(count)); arcs([&](std::int32_t from, std::int32_t to) { edges.emplace_back(from, to); }); @@ -1112,15 +1535,41 @@ void LossyForwardingEvaluator::find_strong_components() { } } -// Occurrence o now carries c: forward it to what it feeds (a split route's head router, a -// tunnel's next hops up to its next barrier or its end). +// Amount x reaches occurrence o (a router's split, or a tunnel's injection): a dark occurrence +// drops it there and passes nothing on; a barrier's waits for its link's rule; a pass-through +// carries it on at once. +void LossyForwardingEvaluator::reach(std::int32_t o, Amount x) { + const auto oi = static_cast(o); + if (dark(o)) { + arrival_[oi] = x; + carry(o, 0); + return; + } + const auto ev = event_of_occ(o); + if (ev >= 0) { + if (!blocked(ev)) arrival_[oi] = x; + return; + } + arrival_[oi] = x; + carry(o, x); +} + +// Occurrence o now carries c: forward it to what it feeds (a split route's head router, a pooled +// context's slot of its head there, a tunnel's next hops up to its next barrier or its end; a dark +// hop drops what reaches it). void LossyForwardingEvaluator::carry(std::int32_t o, Amount c) { carried_[static_cast(o)] = c; - const auto& it = net_.entry_occurrences[static_cast(net_.occurrence_entry_positions[static_cast(o)])]; + const auto& it = item_of(o); const std::int32_t j = net_.occurrence_route_positions[static_cast(o)]; if (it.tunnel_position < 0) { const auto q = it.prepared_route->edge_destination_positions[static_cast(j)]; const auto ev = router(it, q); + if (it.pooled) { + // A pooled destination's deliveries are read from the carried amounts at the end. + if (it.prepared_route->is_destination[static_cast(q)] != 0) return; + if (!blocked(ev)) slot_inflow_[static_cast(net_.occurrence_slots[static_cast(o)])] += c; + return; + } if (!blocked(ev)) inflow_[static_cast(it.first_router_position + q)] += c; return; } @@ -1131,18 +1580,27 @@ void LossyForwardingEvaluator::carry(std::int32_t o, Amount c) { return; } const auto o2 = it.first_occurrence + h; + const auto o2i = static_cast(o2); + if (dark(o2)) { + arrival_[o2i] = c; + carried_[o2i] = 0; + c = 0; + continue; + } const auto ev = event_of_occ(o2); if (ev >= 0) { - if (!blocked(ev)) arrival_[static_cast(o2)] = c; + if (!blocked(ev)) arrival_[o2i] = c; return; } - arrival_[static_cast(o2)] = c; - carried_[static_cast(o2)] = c; + arrival_[o2i] = c; + carried_[o2i] = c; } } // A router splits what it holds once over its out-members; a pass-through member carries its -// whole arrival on at once. +// whole arrival on at once. A pooled router splits its heads' inflows' total and attributes each +// member's amount to the heads by highest averages over their remaining inflows, member by member +// in member order (the pooled kernel's attribution). void LossyForwardingEvaluator::split(std::int32_t ev) { const auto pos_global = ev - num_barriers_; const auto& it = net_.entry_occurrences[static_cast(net_.router_entry_positions[static_cast(pos_global)])]; @@ -1152,17 +1610,25 @@ void LossyForwardingEvaluator::split(std::int32_t ev) { const auto b = static_cast(plan.outgoing_begin[pos]); const auto e = static_cast(plan.outgoing_end[pos]); outgoing_shares_.resize(e - b); - split_at(plan, pos, inflow_[static_cast(pos_global)], outgoing_shares_); + if (!it.pooled) { + split_at(plan, pos, inflow_[static_cast(pos_global)], outgoing_shares_); + for (std::size_t m = b; m < e; ++m) reach(it.first_occurrence + static_cast(m), outgoing_shares_[m - b]); + return; + } + const auto [s0, s1] = slots(it, pos); + const auto k = static_cast(s1 - s0); + remaining_.assign(slot_inflow_.begin() + s0, slot_inflow_.begin() + s1); + Amount total = 0; + for (Amount x : remaining_) total += x; + split_at(plan, pos, total, outgoing_shares_); + row_.resize(k); for (std::size_t m = b; m < e; ++m) { - const auto o = it.first_occurrence + static_cast(m); - const Amount x = outgoing_shares_[m - b]; - const auto bev = event_of_occ(o); - if (bev >= 0) { - if (!blocked(bev)) arrival_[static_cast(o)] = x; - continue; + highest_averages(outgoing_shares_[m - b], remaining_, row_); + const auto first = member_occurrence(it, m); + for (std::size_t i = 0; i < k; ++i) { + remaining_[i] -= row_[i]; + reach(first + static_cast(i), row_[i]); } - arrival_[static_cast(o)] = x; - carry(o, x); } } @@ -1170,7 +1636,7 @@ void LossyForwardingEvaluator::evaluate_barrier(std::int32_t ev) { const auto l = static_cast(barrier_link_[static_cast(ev)]); const auto occs = std::span(net_.occurrences_by_edge).subspan( static_cast(net_.edge_occurrence_offsets[l]), static_cast(net_.edge_occurrence_offsets[l + 1] - net_.edge_occurrence_offsets[l])); - loss_rule(net_, occs, net_.available_capacity[l], arrival_, carried_, source_arrivals_, source_carries_); + loss_rule(net_, occs, net_.available_capacity[l], arrival_, carried_, loss_); for (auto o : occs) carry(o, carried_[static_cast(o)]); } @@ -1209,21 +1675,38 @@ void LossyForwardingEvaluator::iterate(std::int32_t scc) { } routers.swap(order); } - // The state x: every carried amount at the group's barriers, by EdgeId then source then entry - // (the barriers ascend by EdgeId; a link's occurrences are in that order). + // The state x: every carried amount at the group's barriers, by EdgeId then demand, source and + // entry (the barriers ascend by EdgeId; a link's sharing occurrences are in that order; a pooled + // context's keep one coordinate per head). std::vector occs; for (auto b : barriers) { const auto l = static_cast(barrier_link_[static_cast(b)]); for (auto i = net_.edge_occurrence_offsets[l]; i < net_.edge_occurrence_offsets[l + 1]; ++i) occs.push_back(net_.occurrences_by_edge[static_cast(i)]); } - std::vector inflow0(routers.size()); - for (std::size_t i = 0; i < routers.size(); ++i) inflow0[i] = inflow_[static_cast(routers[i] - num_barriers_)]; + // What the group's routers hold before the rounds (from outside the group): a one-root split + // route's inflow, a pooled router's slots. + std::vector> inflow0; + std::vector> slots0; + for (auto r : routers) { + const auto pos_global = static_cast(r - num_barriers_); + const auto& it = net_.entry_occurrences[static_cast(net_.router_entry_positions[pos_global])]; + if (!it.pooled) { + inflow0.emplace_back(pos_global, inflow_[pos_global]); + continue; + } + const auto [s0, s1] = slots(it, pos_global - static_cast(it.first_router_position)); + for (auto s = s0; s < s1; ++s) slots0.emplace_back(static_cast(s), slot_inflow_[static_cast(s)]); + } + auto restore = [&] { + for (const auto& [i, x] : inflow0) inflow_[i] = x; + for (const auto& [i, x] : slots0) slot_inflow_[i] = x; + }; std::vector x(occs.size(), 0); std::vector next(occs.size(), 0); std::vector before(occs.size(), 0); // x(r - 2) const auto limit = static_cast(64) * static_cast(barriers.size()); auto replay = [&]() { - for (std::size_t i = 0; i < routers.size(); ++i) inflow_[static_cast(routers[i] - num_barriers_)] = inflow0[i]; + restore(); for (std::size_t i = 0; i < occs.size(); ++i) carry(occs[i], x[i]); for (auto r : routers) split(r); }; @@ -1239,7 +1722,7 @@ void LossyForwardingEvaluator::iterate(std::int32_t scc) { const auto l = static_cast(barrier_link_[static_cast(b)]); const auto span = std::span(net_.occurrences_by_edge).subspan( static_cast(net_.edge_occurrence_offsets[l]), static_cast(net_.edge_occurrence_offsets[l + 1] - net_.edge_occurrence_offsets[l])); - loss_rule(net_, span, net_.available_capacity[l], arrival_, carried_, source_arrivals_, source_carries_); + loss_rule(net_, span, net_.available_capacity[l], arrival_, carried_, loss_); } for (std::size_t i = 0; i < occs.size(); ++i) next[i] = carried_[static_cast(occs[i])]; if (next == x) { @@ -1257,31 +1740,71 @@ void LossyForwardingEvaluator::iterate(std::int32_t scc) { iterating_ = false; throw std::invalid_argument("lossy forwarding iteration did not reach a fixed point within the round limit"); } +#if NETGRAPH_CORE_PRIVATE_HOOKS + if (thread_lossy_counters().shift) { + // The second planted fault of the check's test: one unit moved between two occurrences of one + // barrier, from one whose tunnel meets no later barrier to one that dropped something, so the + // link's total and every continuation stay consistent and only its loss rule is wrong. + auto last_barrier = [&](std::int32_t o) { + const auto& it = item_of(o); + if (it.tunnel_position < 0) return false; + for (auto k = o + 1; k < it.first_occurrence + it.num_occurrences; ++k) { + if (event_of_occ(k) >= 0) return false; + } + return true; + }; + std::size_t at = 0; + bool moved = false; + for (auto b : barriers) { + const auto l = static_cast(barrier_link_[static_cast(b)]); + const auto n = static_cast(net_.edge_occurrence_offsets[l + 1] - net_.edge_occurrence_offsets[l]); + for (std::size_t i = at; i < at + n && !moved; ++i) { + for (std::size_t j = at; j < at + n && !moved; ++j) { + if (i == j || x[i] == 0 || !last_barrier(occs[i]) || arrival_[static_cast(occs[j])] <= x[j]) continue; + --x[i]; + ++x[j]; + moved = true; + } + } + at += n; + } + } +#endif // The solved state's forwarding, now also into the group's successors. iterating_ = false; current_component_ = -1; - for (std::size_t i = 0; i < routers.size(); ++i) inflow_[static_cast(routers[i] - num_barriers_)] = inflow0[i]; + restore(); for (std::size_t i = 0; i < occs.size(); ++i) carry(occs[i], x[i]); for (auto r : routers) split(r); } -// The independent check of an iterated result (docs/semantics.md, "Losses inside one program"): -// every entry's injection, every router's split of what reaches it, every link's loss rule and -// capacity, every continuation, and each entry's conservation (delivered + drops = its share). -void LossyForwardingEvaluator::verify(std::span share) const { +// The independent check of an iterated result (docs/semantics.md, "Losses on shared edges"): +// every entry's injection, every router's split of what reaches it (a pooled router's attribution +// to its heads too), every dark occurrence's drop, every link's loss rule and capacity, every +// continuation, and the conservation of each entry (each head of a pooled context: delivered + +// drops = its share). +void LossyForwardingEvaluator::verify() const { const auto fail = [] { throw std::runtime_error("lossy forwarding fixed-point verification failed"); }; + auto check_occ = [&](std::size_t o, Amount arrives) { + if (arrival_[o] != arrives || carried_[o] > arrival_[o] || carried_[o] < 0) fail(); + if (net_.dark(o) && carried_[o] != 0) fail(); + }; // Continuations and splits. std::vector in(static_cast(net_.num_router_positions), 0); + std::vector slot_in(net_.slot_heads.size(), 0); std::vector part; + std::vector remaining; + std::vector row; for (std::size_t i = 0; i < net_.entry_occurrences.size(); ++i) { const auto& it = net_.entry_occurrences[i]; - const Amount s = share[static_cast(it.entry_position)]; + const auto& share = shares_[static_cast(it.demand)]; if (it.tunnel_position >= 0) { + const Amount s = share[static_cast(it.entry_position)]; Amount prev = s; Amount dropped = 0; for (std::int32_t j = 0; j < it.num_occurrences; ++j) { const auto o = static_cast(it.first_occurrence + j); - if (arrival_[o] != prev || carried_[o] > arrival_[o] || carried_[o] < 0) fail(); + check_occ(o, prev); dropped += arrival_[o] - carried_[o]; prev = carried_[o]; } @@ -1289,38 +1812,95 @@ void LossyForwardingEvaluator::verify(std::span share) const { continue; } const auto& plan = *it.prepared_route; - in[static_cast(it.first_router_position + it.source_position)] += s; - Amount dropped = 0; - Amount reached = 0; - for (std::size_t pos = 0; pos < plan.topological_order.size(); ++pos) { - const Amount amount = in[static_cast(it.first_router_position) + pos]; - if (plan.is_destination[pos] != 0) { - reached += amount; - continue; + const auto base = static_cast(it.first_router_position); + if (!it.pooled) { + const Amount s = share[static_cast(it.entry_position)]; + in[base + static_cast(it.source_position)] += s; + Amount dropped = 0; + Amount reached = 0; + for (std::size_t pos = 0; pos < plan.topological_order.size(); ++pos) { + const Amount amount = in[base + pos]; + if (plan.is_destination[pos] != 0) { + reached += amount; + continue; + } + const auto b = static_cast(plan.outgoing_begin[pos]); + const auto e = static_cast(plan.outgoing_end[pos]); + part.resize(e - b); + split_at(plan, pos, amount, part); + for (std::size_t m = b; m < e; ++m) { + const auto o = static_cast(it.first_occurrence) + m; + check_occ(o, part[m - b]); + dropped += arrival_[o] - carried_[o]; + in[base + static_cast(plan.edge_destination_positions[m])] += carried_[o]; + } } + if (delivered_[i] != reached || reached + dropped != s) fail(); + continue; + } + // A pooled context: per head its injection at its root's slot, its drops and what reaches the + // destinations. + const ForwardingView& view = *net_.views[static_cast(it.demand)]; + const auto roots = pooled_root_positions(view); + std::vector dropped(roots.size(), 0); + std::vector reached(roots.size(), 0); + auto slot_of = [&](std::size_t pos, std::int32_t head) { + const auto [s0, s1] = slots(it, pos); + const auto b = net_.slot_heads.begin(); + const auto at = std::lower_bound(b + s0, b + s1, head); + if (at == b + s1 || *at != head) fail(); + return static_cast(at - b); + }; + for (std::size_t h = 0; h < roots.size(); ++h) { + if (roots[h] < 0) continue; + slot_in[slot_of(static_cast(roots[h]), static_cast(h))] += + share[static_cast(view.entries_for_source(h).front())]; + } + for (std::size_t pos = 0; pos < plan.topological_order.size(); ++pos) { + if (plan.is_destination[pos] != 0) continue; + const auto [s0, s1] = slots(it, pos); + remaining.assign(slot_in.begin() + s0, slot_in.begin() + s1); + Amount total = 0; + for (Amount x : remaining) total += x; const auto b = static_cast(plan.outgoing_begin[pos]); const auto e = static_cast(plan.outgoing_end[pos]); part.resize(e - b); - split_at(plan, pos, amount, part); + split_at(plan, pos, total, part); + row.resize(remaining.size()); for (std::size_t m = b; m < e; ++m) { - const auto o = static_cast(it.first_occurrence) + m; - if (arrival_[o] != part[m - b] || carried_[o] > arrival_[o] || carried_[o] < 0) fail(); - dropped += arrival_[o] - carried_[o]; - in[static_cast(it.first_router_position + plan.edge_destination_positions[m])] += carried_[o]; + highest_averages(part[m - b], remaining, row); + const auto first = static_cast(member_occurrence(it, m)); + const auto q = static_cast(plan.edge_destination_positions[m]); + for (std::size_t k = 0; k < row.size(); ++k) { + remaining[k] -= row[k]; + const auto o = first + k; + const auto head = static_cast(net_.slot_heads[static_cast(s0) + k]); + check_occ(o, row[k]); + dropped[head] += arrival_[o] - carried_[o]; + if (plan.is_destination[q] != 0) { + reached[head] += carried_[o]; + } else { + slot_in[static_cast(net_.occurrence_slots[o])] += carried_[o]; + } + } } } - if (delivered_[i] != reached || reached + dropped != s) fail(); + const auto& delivered = head_delivered_[static_cast(it.demand)]; + for (std::size_t h = 0; h < roots.size(); ++h) { + if (roots[h] < 0) continue; + const Amount s = share[static_cast(view.entries_for_source(h).front())]; + if (delivered[h] != reached[h] || reached[h] + dropped[h] != s) fail(); + } } - // Every link: its loss rule over the arrivals (a transparent link passes everything on) and - // its capacity. + // Every link: its loss rule over the sharing arrivals (a transparent link passes everything on) + // and its capacity. std::vector expect(carried_.size(), 0); - std::vector wa; - std::vector wb; + LossScratch scratch; for (std::size_t l = 0; l < net_.edges.size(); ++l) { const auto occs = std::span(net_.occurrences_by_edge).subspan( static_cast(net_.edge_occurrence_offsets[l]), static_cast(net_.edge_occurrence_offsets[l + 1] - net_.edge_occurrence_offsets[l])); Amount sum = 0; - for (auto o : occs) sum += carried_[static_cast(o)]; + for (auto o : occs) sum = saturating_add(sum, carried_[static_cast(o)]); if (sum > net_.available_capacity[l]) fail(); if (transparent_[l] != 0) { for (auto o : occs) { @@ -1328,46 +1908,69 @@ void LossyForwardingEvaluator::verify(std::span share) const { } continue; } - loss_rule(net_, occs, net_.available_capacity[l], arrival_, expect, wa, wb); + loss_rule(net_, occs, net_.available_capacity[l], arrival_, expect, scratch); for (auto o : occs) { if (expect[static_cast(o)] != carried_[static_cast(o)]) fail(); } } } -ProgramFlow LossyForwardingEvaluator::run(std::span injections) { - const std::size_t k = view_.num_sources(); - ProgramFlow out = empty_flow(view_, true); - for (std::size_t h = 0; h < k; ++h) { - out.offered_by_source[h] = injections[h]; - out.offered += injections[h]; - } - out.admitted = out.offered; - std::vector share; +std::vector LossyForwardingEvaluator::run(std::span> injections) { + const std::size_t D = net_.views.size(); + std::vector outs(D); + shares_.resize(D); + head_delivered_.resize(D); std::vector source_drops_by_source; std::vector w; std::vector part; - entry_shares(view_, injections, share, source_drops_by_source, w, part); - for (std::size_t h = 0; h < k; ++h) { - out.source_drops_by_source[h] = source_drops_by_source[h]; - out.source_drops += source_drops_by_source[h]; - } - for (std::size_t e = 0; e < share.size(); ++e) { - out.entries[e].assigned = share[e]; - if (share[e] != 0 && net_.entry_occurrence_positions[e] == -2) { - out.entries[e].source_drops = share[e]; - out.source_drops += share[e]; + for (std::size_t d = 0; d < D; ++d) { + const ForwardingView& view = *net_.views[d]; + const std::size_t k = view.num_sources(); + auto& out = outs[d]; + out = empty_flow(view, true); + for (std::size_t h = 0; h < k; ++h) { + out.offered_by_source[h] = injections[d][h]; + out.offered += injections[d][h]; + } + out.admitted = out.offered; + auto& share = shares_[d]; + entry_shares(view, injections[d], share, source_drops_by_source, w, part); + for (std::size_t h = 0; h < k; ++h) { + out.source_drops_by_source[h] = source_drops_by_source[h]; + out.source_drops += source_drops_by_source[h]; + } + const auto& positions = net_.entry_occurrence_positions[d]; + for (std::size_t e = 0; e < share.size(); ++e) { + out.entries[e].assigned = share[e]; + if (share[e] != 0 && positions[e] == -2) { + out.entries[e].source_drops = share[e]; + out.source_drops += share[e]; + } } + if (view.pooled) head_delivered_[d].assign(k, 0); } // A+: the no-drop loads first, then the barriers. std::vector U0; std::vector scratch; - no_drop(net_, share, U0, nullptr, scratch); + no_drop(net_, shares_, U0, &possible_, scratch); occurrence_source_positions_.assign(net_.occurrence_edge_positions.size(), -1); + root_position_.assign(static_cast(net_.num_router_positions), 0); for (const auto& it : net_.entry_occurrences) { if (it.tunnel_position >= 0) continue; - for (std::size_t pos = 0; pos < it.prepared_route->topological_order.size(); ++pos) { - for (auto m = it.prepared_route->outgoing_begin[pos]; m < it.prepared_route->outgoing_end[pos]; ++m) occurrence_source_positions_[static_cast(it.first_occurrence + m)] = static_cast(pos); + const auto base = static_cast(it.first_router_position); + if (!it.pooled) { + root_position_[base + static_cast(it.source_position)] = 1; + for (std::size_t pos = 0; pos < it.prepared_route->topological_order.size(); ++pos) { + for (auto m = it.prepared_route->outgoing_begin[pos]; m < it.prepared_route->outgoing_end[pos]; ++m) occurrence_source_positions_[static_cast(it.first_occurrence + m)] = static_cast(pos); + } + continue; + } + for (auto p : pooled_root_positions(*net_.views[static_cast(it.demand)])) { + if (p >= 0) root_position_[base + static_cast(p)] = 1; + } + for (std::size_t m = 0; m < it.prepared_route->forwarding_edges.size(); ++m) { + const auto tail = net_.member_tail_positions[it.first_member + m]; + for (auto o = member_occurrence(it, m); o < member_occurrence(it, m + 1); ++o) occurrence_source_positions_[static_cast(o)] = tail; } } normalize_serial_links(U0); @@ -1375,25 +1978,46 @@ ProgramFlow LossyForwardingEvaluator::run(std::span injections) { arrival_.assign(n, 0); carried_.assign(n, 0); inflow_.assign(static_cast(net_.num_router_positions), 0); + slot_inflow_.assign(net_.slot_heads.size(), 0); delivered_.assign(net_.entry_occurrences.size(), 0); build_events(); find_strong_components(); - // The injections: a tunnel's share enters its first hop, a split route's its root router. + // The injections: a tunnel's share enters its first hop, a split route's its root router, a + // pooled context's heads' shares their roots' slots. for (std::size_t i = 0; i < net_.entry_occurrences.size(); ++i) { const auto& it = net_.entry_occurrences[i]; - const Amount s = share[static_cast(it.entry_position)]; + const auto& share = shares_[static_cast(it.demand)]; if (it.tunnel_position >= 0) { - const auto o = it.first_occurrence; - arrival_[static_cast(o)] = s; - if (event_of_occ(o) < 0) carry(o, s); + reach(it.first_occurrence, share[static_cast(it.entry_position)]); + } else if (!it.pooled) { + inflow_[static_cast(it.first_router_position + it.source_position)] += share[static_cast(it.entry_position)]; } else { - inflow_[static_cast(it.first_router_position + it.source_position)] += s; + const ForwardingView& view = *net_.views[static_cast(it.demand)]; + const auto roots = pooled_root_positions(view); + for (std::size_t h = 0; h < roots.size(); ++h) { + if (roots[h] < 0) continue; + const auto [s0, s1] = slots(it, static_cast(roots[h])); + const auto b = net_.slot_heads.begin(); + const auto at = std::lower_bound(b + s0, b + s1, static_cast(h)); + slot_inflow_[static_cast(at - b)] += share[static_cast(view.entries_for_source(h).front())]; + } } } - // The groups in dependency order, the smallest key first among the ready ones. + // The groups in dependency order, the smallest key first among the ready ones. Each group's + // events, ascending, in one array (a group per offset range: a pooled plan has a group per router). const auto ns = static_cast(num_scc_); - std::vector> members(ns); - for (std::int32_t ev = 0; ev < num_events_; ++ev) members[static_cast(scc_[static_cast(ev)])].push_back(ev); + std::vector member_offsets(ns + 1, 0); + for (std::int32_t ev = 0; ev < num_events_; ++ev) ++member_offsets[static_cast(scc_[static_cast(ev)]) + 1]; + for (std::size_t g = 0; g < ns; ++g) member_offsets[g + 1] += member_offsets[g]; + std::vector member_events(static_cast(num_events_)); + { + std::vector fill(member_offsets.begin(), member_offsets.end() - 1); + for (std::int32_t ev = 0; ev < num_events_; ++ev) member_events[static_cast(fill[static_cast(scc_[static_cast(ev)])]++)] = ev; + } + auto members = [&](std::int32_t g) { + const auto b = static_cast(member_offsets[static_cast(g)]); + return std::span(member_events).subspan(b, static_cast(member_offsets[static_cast(g) + 1]) - b); + }; std::vector indeg(ns, 0); std::vector cyclic(ns, 0); for (std::int32_t ev = 0; ev < num_events_; ++ev) { @@ -1409,7 +2033,7 @@ ProgramFlow LossyForwardingEvaluator::run(std::span injections) { } using Key = std::tuple; auto key = [&](std::int32_t s) -> Key { - const auto& m = members[static_cast(s)]; + const auto m = members(s); std::int64_t edge = std::numeric_limits::max(); for (auto ev : m) { if (ev < num_barriers_) edge = std::min(edge, net_.edges[static_cast(barrier_link_[static_cast(ev)])]); @@ -1424,7 +2048,7 @@ ProgramFlow LossyForwardingEvaluator::run(std::span injections) { while (!ready.empty()) { const auto s = std::get<2>(ready.top()); ready.pop(); - const auto& m = members[static_cast(s)]; + const auto m = members(s); if (cyclic[static_cast(s)] != 0) { #if NETGRAPH_CORE_PRIVATE_HOOKS ++thread_lossy_counters().groups; @@ -1442,13 +2066,25 @@ ProgramFlow LossyForwardingEvaluator::run(std::span injections) { } } } - // Split routes deliver what reaches their destinations. + // Split routes deliver what reaches their destinations (a pooled context per head). for (std::size_t i = 0; i < net_.entry_occurrences.size(); ++i) { const auto& it = net_.entry_occurrences[i]; if (it.tunnel_position >= 0) continue; + const auto& plan = *it.prepared_route; + if (it.pooled) { + auto& delivered = head_delivered_[static_cast(it.demand)]; + for (std::int32_t j = 0; j < it.num_occurrences; ++j) { + const auto o = static_cast(it.first_occurrence + j); + const auto m = static_cast(net_.occurrence_route_positions[o]); + if (plan.is_destination[static_cast(plan.edge_destination_positions[m])] != 0) { + delivered[static_cast(net_.occurrence_heads[o])] += carried_[o]; + } + } + continue; + } Amount d = 0; - for (std::size_t pos = 0; pos < it.prepared_route->topological_order.size(); ++pos) { - if (it.prepared_route->is_destination[pos] != 0) d += inflow_[static_cast(it.first_router_position) + pos]; + for (std::size_t pos = 0; pos < plan.topological_order.size(); ++pos) { + if (plan.is_destination[pos] != 0) d += inflow_[static_cast(it.first_router_position) + pos]; } delivered_[i] = d; } @@ -1464,10 +2100,29 @@ ProgramFlow LossyForwardingEvaluator::run(std::span injections) { } } #endif - verify(share); + verify(); } for (std::size_t i = 0; i < net_.entry_occurrences.size(); ++i) { const auto& it = net_.entry_occurrences[i]; + auto& out = outs[static_cast(it.demand)]; + if (it.pooled) { + const ForwardingView& view = *net_.views[static_cast(it.demand)]; + const auto& delivered = head_delivered_[static_cast(it.demand)]; + for (std::size_t h = 0; h < view.num_sources(); ++h) { + auto& f = out.entries[static_cast(view.entries_for_source(h).front())]; + f.delivered = delivered[h]; + out.delivered += delivered[h]; + } + // By member (ascending EdgeId), each occurrence to its head's entry. + for (std::int32_t j = 0; j < it.num_occurrences; ++j) { + const auto o = static_cast(it.first_occurrence + j); + auto& f = out.entries[static_cast(view.entries_for_source(static_cast(net_.occurrence_heads[o])).front())]; + const EdgeId e = net_.edges[static_cast(net_.occurrence_edge_positions[o])]; + if (carried_[o] != 0) f.edge_flows.emplace_back(e, carried_[o]); + if (arrival_[o] != carried_[o]) f.edge_drops.emplace_back(e, arrival_[o] - carried_[o]); + } + continue; + } auto& f = out.entries[static_cast(it.entry_position)]; f.delivered = delivered_[i]; out.delivered += delivered_[i]; @@ -1482,7 +2137,15 @@ ProgramFlow LossyForwardingEvaluator::run(std::span injections) { sort_pairs(f.edge_drops); } } - return out; + return outs; +} + +// The joint evaluation of demands (one network, one evaluator), the hooks' counters reset. +std::vector joint_lossy(std::span views, std::span> injections, + const AvailableCapacityFn& free) { + const ForwardingNetwork net = build_forwarding_network(views, free, true); + LossyForwardingEvaluator run(net); + return run.run(injections); } } // namespace @@ -1497,11 +2160,32 @@ ProgramFlow lossy(const ForwardingView& view, const AvailableCapacityFn& free, s #if NETGRAPH_CORE_PRIVATE_HOOKS thread_lossy_counters().groups = 0; thread_lossy_counters().rounds = 0; + thread_lossy_counters().event_structures = 0; #endif if (view.pooled) return pooled_lossy(view, free, injections); - const ForwardingNetwork net = build_forwarding_network(view, free); - LossyForwardingEvaluator run(view, net); - return run.run(injections); + const ForwardingView* const views[] = {&view}; + const std::span inject[] = {injections}; + return std::move(joint_lossy(views, inject, free).front()); +} + +std::vector lossy(std::span demands, const AvailableCapacityFn& free) { + std::vector views; + std::vector> injections; + views.reserve(demands.size()); + injections.reserve(demands.size()); + for (const auto& d : demands) { + if (d.view == nullptr || d.injections.size() != d.view->num_sources()) { + throw std::logic_error("forwarding: a demand's injections are not head-aligned"); + } + views.push_back(d.view); + injections.push_back(d.injections); + } +#if NETGRAPH_CORE_PRIVATE_HOOKS + thread_lossy_counters().groups = 0; + thread_lossy_counters().rounds = 0; + thread_lossy_counters().event_structures = 0; +#endif + return joint_lossy(views, injections, free); } } // namespace netgraph::core::detail diff --git a/tests/cpp/apply_actions_fault_tests.cpp b/tests/cpp/apply_actions_fault_tests.cpp new file mode 100644 index 0000000..a24076e --- /dev/null +++ b/tests/cpp/apply_actions_fault_tests.cpp @@ -0,0 +1,367 @@ +// apply_actions under allocation failures (the fault-injection executable, fault_injection.cpp): +// every allocation of an ORDERED list mixing every model and of a SIMULTANEOUS list (a pooled +// ShortestPaths replace, a Pinned tunnel program, a T1 forward with holds and black holes, a cyclic +// group across demands) fails once in turn; after each failure the ledger and every listed policy's +// epoch are as before the call, the aggregate is balanced, nothing is left allocated, and a clean +// retry gives the reference's results, ledger and epochs. Because the sweep reaches every allocation +// of the call, a publication that allocated after the ledger's exchange would show as a changed +// state here: the publication allocates nothing. The batch exchange is swept on its own (owners that +// retire and keep records, holds), and both modes are swept on a fresh thread whose scratch grows +// from a 3-node to a 3,000-node graph, the retry on that thread equal to the reference. +#include + +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/ledger_access.hpp" +#include "netgraph/core/flow_ledger.hpp" +#include "netgraph/core/flow_policy.hpp" +#include "netgraph/core/forwarding_program.hpp" +#include "fault_injection.hpp" +#include "test_utils.hpp" + +using namespace netgraph::core; +using namespace netgraph::core::test; +using detail::LedgerAccess; + +namespace { + +using Actions = std::vector; + +const OutputOptions kAll {.edge_flows = true, .residual = true, .saturated_boundary_edges = true, .edge_reservations = true}; + +// What a list sweep stages on a fresh ledger: the policies (kept alive), their earlier calls, the +// list and its mode. +struct ListScenario { + std::vector> masks; + std::vector> policies; + Actions actions; + BatchMode mode {BatchMode::Ordered}; +}; + +EdgeId edge(const Graph& g, NodeId u, NodeId v) { + for (EdgeId e = 0; e < g.num_edges(); ++e) { + if (g.edge_sources()[static_cast(e)] == u && g.edge_destinations()[static_cast(e)] == v) return e; + } + ADD_FAILURE() << "no edge " << u << " -> " << v; + return 0; +} + +std::shared_ptr tunnels(const Graph& g, const std::vector& s, const std::vector& d, + const std::vector>>& walks) { + std::vector routes; + for (const auto& [h, nodes] : walks) { + std::vector> hops; + for (std::size_t i = 0; i + 1 < nodes.size(); ++i) hops.push_back({edge(g, nodes[i], nodes[i + 1])}); + routes.push_back(RouteDefinition {h, std::make_shared(g, hops), 1}); + } + return ForwardingProgram::from_routes(g, s, d, routes); +} + +std::vector epochs(const ListScenario& s) { + std::vector out; + for (const auto& p : s.policies) out.push_back(epoch(*p)); + return out; +} + +void expect_same_epochs(const std::vector& a, const std::vector& b, const std::string& where) { + ASSERT_EQ(a.size(), b.size()) << where; + for (std::size_t i = 0; i < a.size(); ++i) expect_same(a[i], b[i], where + ", policy " + std::to_string(i)); +} + +// The list sweep (as sweep_placement for one call): returns the failures injected. +long sweep_list(const std::shared_ptr& g, const std::string& where, const std::function& setup) { + FlowLedger ref(g); + ListScenario sref = setup(ref); + const LedgerState initial = ledger_state(ref); + const auto initial_epochs = epochs(sref); + const auto want = apply_actions(ref, sref.actions, sref.mode, kAll); + const LedgerState after = ledger_state(ref); + const auto want_epochs = epochs(sref); + long injected = 0; + for (long at = 0;; ++at) { + const std::string w = where + " allocation " + std::to_string(at); + const long live = g_live.load(); + bool completed = false; + { + FlowLedger fg(g); + ListScenario s = setup(fg); + expect_same(ledger_state(fg), initial, w + " (setup)"); + expect_same_epochs(epochs(s), initial_epochs, w + " (setup)"); + std::vector got; + if (!fails_at(at, [&] { got = apply_actions(fg, s.actions, s.mode, kAll); })) { + EXPECT_EQ(got.size(), want.size()) << w; + for (std::size_t k = 0; k < std::min(got.size(), want.size()); ++k) expect_same(got[k], want[k], w + " entry " + std::to_string(k)); + expect_same(ledger_state(fg), after, w + " (no failure)"); + expect_same_epochs(epochs(s), want_epochs, w + " (no failure)"); + completed = true; + } else { + ++injected; + expect_same(ledger_state(fg), initial, w + " (failed list)"); + expect_same_epochs(epochs(s), initial_epochs, w + " (failed list)"); + expect_balanced(fg, w + " (failed list)"); + const auto retry = apply_actions(fg, s.actions, s.mode, kAll); + for (std::size_t k = 0; k < std::min(retry.size(), want.size()); ++k) expect_same(retry[k], want[k], w + " retry " + std::to_string(k)); + expect_same(ledger_state(fg), after, w + " (retry)"); + expect_same_epochs(epochs(s), want_epochs, w + " (retry)"); + } + } + EXPECT_EQ(g_live.load(), live) << w << ": a leak"; + if (completed || ::testing::Test::HasFailure()) break; + } + return injected; +} + +// Nodes 0..5 (sources 0 and 1, destination 5) and a separate link 6 -> 7. +std::shared_ptr mixed_graph() { + return shared(make_graph(8, {{0, 2, 6, 1}, {0, 3, 4, 2}, {1, 2, 5, 1}, {1, 3, 3, 1}, {2, 4, 5, 1}, {3, 4, 6, 2}, {2, 5, 4, 3}, + {4, 5, 8, 1}, {3, 5, 2, 1}, {6, 7, 10, 1}})); +} + +const std::vector kS {0, 1}; +const std::vector kD {5}; + +FlowPolicyConfig ecmp(Admission a = Admission::Lossy) { return FlowPolicyConfig {.routing = shortest_paths(), .admission = a}; } +FlowPolicyConfig pinned_config(std::shared_ptr prog, std::shared_ptr black = nullptr) { + return FlowPolicyConfig {.routing = Pinned {std::move(prog), std::move(black)}, .admission = Admission::Lossy}; +} + +// An ORDERED list over every model: a ShortestPaths place, a LOSSLESS replace(+inf), a +// controller's place, T1 and T2 replaces, a Pinned replace, a forward with black holes of an +// installed program, and a zero place. +TEST(PolicyFaults, EveryAllocationOfAnOrderedListFailsAtomically) { + const auto g = mixed_graph(); + const auto prog = tunnels(*g, kS, kD, {{0, {0, 2, 4, 5}}, {1, {1, 3, 5}}}); + const auto injected = sweep_list(g, "ordered", [&](FlowLedger& fg) { + ListScenario s; + auto add = [&](FlowPolicyConfig cfg, std::vector src = kS) -> FlowPolicy& { + s.policies.push_back(std::make_unique(fg, src, kD, std::move(cfg))); + return *s.policies.back(); + }; + auto& sp = add(ecmp()); + auto& ll = add(ecmp(Admission::Lossless), {0}); + auto& ctl = add(FlowPolicyConfig {.routing = centralized()}); + auto& t1 = add(FlowPolicyConfig {.routing = DistributedTE {TunnelCount {1}}, .admission = Admission::Lossy}); + auto& t2 = add(FlowPolicyConfig {.routing = centralized(SourceAllocation::Equal, nullptr, TunnelCount {1}), .admission = Admission::Lossy}); + auto& pin = add(pinned_config(prog)); + auto& fw = add(ecmp()); + auto& zero = add(ecmp()); + (void)sp.place(2); + (void)fw.replace(2); + (void)t1.replace(2, std::optional {2}); + const std::vector black {edge(*g, 2, 4)}; + s.masks.push_back(std::make_shared(g->eligibility({}, black))); + s.actions = {Place {sp, 4}, + Replace {ll, std::nullopt}, + Place {ctl, 3}, + Replace {t1, 3, std::optional {3}}, + Replace {t2, 2}, + Replace {pin, 4}, + Forward {fw, 3, s.masks.back().get()}, + Place {zero, 0}}; + s.mode = BatchMode::Ordered; + return s; + }); + EXPECT_GT(injected, 100); +} + +// A SIMULTANEOUS list: a pooled ShortestPaths replace, a Pinned tunnel program, a T1 forward with +// holds and black holes, and (on its own graph) a cyclic group across two demands. +TEST(PolicyFaults, EveryAllocationOfASimultaneousListFailsAtomically) { + const auto g = mixed_graph(); + const auto prog = tunnels(*g, kS, kD, {{0, {0, 2, 5}}, {1, {1, 2, 4, 5}}}); + const auto injected = sweep_list(g, "simultaneous", [&](FlowLedger& fg) { + ListScenario s; + auto add = [&](FlowPolicyConfig cfg) -> FlowPolicy& { + s.policies.push_back(std::make_unique(fg, kS, kD, std::move(cfg))); + return *s.policies.back(); + }; + auto& sp = add(ecmp()); + auto& pin = add(pinned_config(prog)); + auto& t1 = add(FlowPolicyConfig {.routing = DistributedTE {TunnelCount {1}}, .admission = Admission::Lossy}); + (void)sp.place(3); + (void)t1.replace(3, std::optional {3}); + const std::vector black {edge(*g, 3, 5)}; + s.masks.push_back(std::make_shared(g->eligibility({}, black))); + s.actions = {Replace {sp, 5}, Replace {pin, 6}, Forward {t1, 4, s.masks.back().get()}}; + s.mode = BatchMode::Simultaneous; + return s; + }); + EXPECT_GT(injected, 100); + // The cyclic group: two demands crossing X (e0) and Y (e3) in opposite orders, settling at round 3. + const auto cyc = shared(make_graph(6, {{0, 1, 1, 1}, {1, 2, 1000, 1}, {1, 5, 1000, 1}, {2, 3, 1, 1}, {3, 0, 1000, 1}, + {3, 5, 1000, 1}, {4, 0, 1000, 1}, {4, 2, 1000, 1}})); + const auto a = tunnels(*cyc, {4}, {5}, {{4, {4, 0, 1, 2, 3, 5}}}); + const auto b = tunnels(*cyc, {4}, {5}, {{4, {4, 2, 3, 0, 1, 5}}}); + const auto cyclic = sweep_list(cyc, "cyclic", [&](FlowLedger& fg) { + ListScenario s; + s.policies.push_back(std::make_unique(fg, std::vector {4}, std::vector {5}, pinned_config(a))); + s.policies.push_back(std::make_unique(fg, std::vector {4}, std::vector {5}, pinned_config(b))); + s.actions = {Replace {*s.policies[0], 1}, Replace {*s.policies[1], 1}}; + s.mode = BatchMode::Simultaneous; + return s; + }); + EXPECT_GT(cyclic, 50); +} + +// Both modes on a fresh thread, the scratch grown from a 3-node to a 3,000-node chain, each +// allocation failing once; the retry on that thread equals the reference. +TEST(PolicyFaults, ListScratchGrowthFailureLeavesNothingHalfGrown) { + for (BatchMode mode : {BatchMode::Ordered, BatchMode::Simultaneous}) { + const std::string name = mode == BatchMode::Ordered ? "ordered" : "simultaneous"; + SCOPED_TRACE(name); + const auto small = chain_graph(3, 5); + const auto large = chain_graph(3000, 5); + auto chain = [](const Graph& g) { + std::vector> hops; + for (EdgeId e = 0; e < g.num_edges(); ++e) hops.push_back({e}); + const std::vector routes {RouteDefinition {0, std::make_shared(g, hops), 1}}; + return ForwardingProgram::from_routes(g, std::vector {0}, std::vector {g.num_nodes() - 1}, routes); + }; + struct Run { + std::vector results; + LedgerState state; + }; + auto list_on = [&](const std::shared_ptr& g, FlowLedger& fg, std::unique_ptr& a, + std::unique_ptr& b) { + const std::vector s {0}; + const std::vector d {g->num_nodes() - 1}; + a = std::make_unique(fg, s, d, ecmp()); + b = std::make_unique(fg, s, d, pinned_config(chain(*g))); + return Actions {Replace {*a, 2}, Replace {*b, 1}}; + }; + Run want; + { + FlowLedger fg(large); + std::unique_ptr a; + std::unique_ptr b; + const auto list = list_on(large, fg, a, b); + want.results = apply_actions(fg, list, mode, kAll); + want.state = ledger_state(fg); + } + ASSERT_EQ(want.results[0].call_delivered, 2); + sweep_scratch_growth( + name, + [&] { + FlowLedger fg(small); + std::unique_ptr a; + std::unique_ptr b; + const auto list = list_on(small, fg, a, b); + EXPECT_EQ(apply_actions(fg, list, mode, kAll).size(), 2U); + }, + [&](long at, const std::string& w) { + FlowLedger fg(large); + std::unique_ptr a; + std::unique_ptr b; + const auto list = list_on(large, fg, a, b); + const LedgerState before = ledger_state(fg); + std::vector got; + const bool failed = fails_at(at, [&] { got = apply_actions(fg, list, mode, kAll); }); + if (failed) { + expect_same(ledger_state(fg), before, w); + got = apply_actions(fg, list, mode, kAll); + } + for (std::size_t k = 0; k < got.size(); ++k) expect_same(got[k], want.results[k], w); + expect_same(ledger_state(fg), want.state, w); + return failed; + }, + [&] { + FlowLedger fg(large); + std::unique_ptr a; + std::unique_ptr b; + const auto list = list_on(large, fg, a, b); + (void)apply_actions(fg, list, mode, kAll); // the scratch grows to the large graph + long warm = 0; + while (fails_at(warm, [&] { (void)apply_actions(fg, list, mode, kAll); })) ++warm; + return warm; + }); + if (::testing::Test::HasFailure()) return; + } +} + +// The batch exchange: every allocation of a two-owner and a three-owner commit_batch (an owner +// that retires its records, one that keeps them, holds) fails once; the ledger is unchanged after +// each failure, and the completing exchange equals the reference. +TEST(LedgerFaults, EveryAllocationOfABatchExchangeFailsAtomically) { + const auto g = shared(make_graph(3, {{0, 1, 10, 1}, {1, 2, 10, 1}})); + const auto dag = all_edges(*g); + auto draft = [&](std::vector> flows, std::optional id = std::nullopt, Amount hold = 0) { + detail::RecordDraft d; + d.record_counter = id; + d.record.sources = {0}; + d.record.destinations = {2}; + d.record.route = dag; + d.record.min_route_cost = 2; + for (const auto& [e, x] : flows) d.record.delivered = std::max(d.record.delivered, x); + d.record.edge_flows = std::move(flows); + if (hold != 0) d.record.edge_reservations = {{0, hold}}; + return d; + }; + for (int owners : {2, 3}) { + const std::string where = std::to_string(owners) + " owners"; + struct Staged { + std::vector ids; + std::vector> drafts; + std::vector retire; + }; + auto stage = [&](FlowLedger& fg) { + Staged s; + for (int i = 0; i < owners; ++i) s.ids.push_back(LedgerAccess::bind(fg)); + std::vector first {draft({{0, 2}, {1, 2}}, std::nullopt, 3)}; + const auto kept = LedgerAccess::commit(fg, s.ids[0], first); + std::vector second {draft({{0, 1}})}; + (void)LedgerAccess::commit(fg, s.ids[1], second); + s.drafts.push_back({draft({{0, 3}, {1, 3}}, kept[0].second, 2), draft({{1, 1}})}); // keeps and adds + s.drafts.push_back({draft({{0, 2}}, std::nullopt, 4)}); // retires and adds a hold + s.retire = {false, true}; + if (owners == 3) { + s.drafts.push_back({draft({{0, 1}, {1, 1}}), draft({{1, 2}})}); + s.retire.push_back(true); + } + return s; + }; + auto commit = [&](FlowLedger& fg, Staged& s) { + std::vector parts; + for (std::size_t i = 0; i < s.ids.size(); ++i) parts.push_back({s.ids[i], s.drafts[i], s.retire[i]}); + std::vector> created(s.ids.size()); + LedgerAccess::commit_batch(fg, parts, created); + return created; + }; + FlowLedger ref(g); + Staged sref = stage(ref); + const LedgerState initial = ledger_state(ref); + const auto want_ids = commit(ref, sref); + const LedgerState after = ledger_state(ref); + long injected = 0; + for (long at = 0;; ++at) { + const std::string w = where + " allocation " + std::to_string(at); + const long live = g_live.load(); + bool completed = false; + { + FlowLedger fg(g); + Staged s = stage(fg); + expect_same(ledger_state(fg), initial, w + " (setup)"); + std::vector> got; + if (!fails_at(at, [&] { got = commit(fg, s); })) { + EXPECT_EQ(got.size(), want_ids.size()) << w; + expect_same(ledger_state(fg), after, w + " (no failure)"); + completed = true; + } else { + ++injected; + expect_same(ledger_state(fg), initial, w + " (failed)"); + expect_balanced(fg, w + " (failed)"); + } + } + EXPECT_EQ(g_live.load(), live) << w << ": a leak"; + if (completed || ::testing::Test::HasFailure()) break; + } + EXPECT_GT(injected, 5) << where; + } +} + +} // namespace diff --git a/tests/cpp/apply_actions_tests.cpp b/tests/cpp/apply_actions_tests.cpp new file mode 100644 index 0000000..ecef848 --- /dev/null +++ b/tests/cpp/apply_actions_tests.cpp @@ -0,0 +1,1657 @@ +// apply_actions, natively: the list's validation order (every refusal before anything is computed, +// nothing changed), ORDERED as the scalar calls on a private working state (earlier actions first, FlowIds in +// list order, outputs and holds after each action, normal outcomes, zero places, an abort +// mid-list), SIMULTANEOUS on one view with the loss rule across demands (the view, preparation on +// it, permutation, creation-order ties, pooled sources, the demand level, each participant's own +// black holes, T1 holds, empty rosters, zero offers, repeats, orphans, iteration errors), link sums +// beyond 2^63, counters beyond 2^64, per-entry outputs and every field of an entry. Hand-derived +// values on small graphs (EdgeIds equal input positions unless mapped); the generators compare an +// ORDERED list with the same scalar calls and a SIMULTANEOUS participant with its scalar call. +#include + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/forwarding.hpp" +#include "netgraph/core/detail/ledger_access.hpp" +#include "netgraph/core/detail/policy_engine.hpp" +#include "netgraph/core/flow_ledger.hpp" +#include "netgraph/core/flow_policy.hpp" +#include "netgraph/core/forwarding_program.hpp" +#include "state_comparators.hpp" +#include "test_utils.hpp" + +using namespace netgraph::core; +using namespace netgraph::core::test; +using detail::LedgerAccess; + +namespace { + +using Amounts = std::vector; +using Pairs = std::vector>; +using Actions = std::vector; + +constexpr Admission LOSSY = Admission::Lossy; +constexpr Admission LOSSLESS = Admission::Lossless; +constexpr BatchMode ORDERED = BatchMode::Ordered; +constexpr BatchMode SIMULTANEOUS = BatchMode::Simultaneous; +const std::optional INF; + +const std::string kPeriodTwo = "lossy forwarding iteration entered a period-2 cycle"; +const std::string kRoundLimit = "lossy forwarding iteration did not reach a fixed point within the round limit"; +const std::string kOffer = "offer must be an integer in [0, 2^62) or permitted +inf"; + +Amount lo(const Counter128& x) { + EXPECT_EQ(x.hi, 0U); + return static_cast(x.lo); +} + +std::shared_ptr graph(std::int32_t n, const std::vector& rows) { + auto g = shared(make_graph(n, rows)); + for (std::size_t i = 0; i < rows.size(); ++i) EXPECT_EQ(g->input_positions()[i], static_cast(i)); + return g; +} + +FlowPolicyConfig ecmp(Admission admission = LOSSY) { return FlowPolicyConfig {.routing = shortest_paths(), .admission = admission}; } +FlowPolicyConfig t1(Admission admission = LOSSY) { return FlowPolicyConfig {.routing = DistributedTE {TunnelCount {1}}, .admission = admission}; } +FlowPolicyConfig t2(Admission admission = LOSSY) { + return FlowPolicyConfig {.routing = centralized(SourceAllocation::Equal, nullptr, TunnelCount {1}), .admission = admission}; +} +FlowPolicyConfig global(Admission admission = LOSSLESS) { return FlowPolicyConfig {.routing = centralized(), .admission = admission}; } +FlowPolicyConfig pinned(std::shared_ptr prog, Admission admission = LOSSY, + std::shared_ptr black_holes = nullptr) { + return FlowPolicyConfig {.routing = Pinned {std::move(prog), std::move(black_holes)}, .admission = admission}; +} + +// A supplied program of tunnels: (head, EdgeIds in path order, weight). +std::shared_ptr tunnels(const Graph& g, const std::vector& s, const std::vector& d, + const std::vector, Amount>>& specs) { + std::vector routes; + for (const auto& [h, es, w] : specs) { + std::vector> hops; + for (EdgeId e : es) hops.push_back({e}); + routes.push_back(RouteDefinition {h, std::make_shared(g, hops), w}); + } + return ForwardingProgram::from_routes(g, s, d, routes); +} +std::shared_ptr tunnel(const Graph& g, NodeId s, NodeId d, const std::vector& path, Amount w = 1) { + return tunnels(g, {s}, {d}, {{s, path, w}}); +} + +std::shared_ptr no_edges(const Graph& g, const std::vector& edges) { + return std::make_shared(g.eligibility({}, edges)); +} +std::shared_ptr no_nodes(const Graph& g, const std::vector& nodes) { + return std::make_shared(g.eligibility(nodes, {})); +} + +// A ledger with its policies (created in order) and what they point to (declared first). +struct World { + std::shared_ptr g; + std::unique_ptr ledger; + std::vector> keep; + std::vector> p; + explicit World(std::shared_ptr graph) : g(std::move(graph)), ledger(std::make_unique(g)) {} + World(std::shared_ptr graph, std::vector service, std::vector reservation) + : g(std::move(graph)), ledger(std::make_unique(g, service, reservation)) {} + FlowPolicy& add(const std::vector& s, const std::vector& d, FlowPolicyConfig cfg, + std::shared_ptr elig = nullptr) { + keep.push_back(elig); + p.push_back(std::make_unique(*ledger, s, d, std::move(cfg), elig.get())); + return *p.back(); + } + FlowPolicy& pin(const std::shared_ptr& prog, Admission admission = LOSSY, + std::shared_ptr black_holes = nullptr, std::shared_ptr elig = nullptr) { + keep.push_back(black_holes); + return add(vec(prog->sources()), vec(prog->destinations()), pinned(prog, admission, black_holes), std::move(elig)); + } + // The ledger and every policy's epoch. + struct State { + LedgerState ledger; + std::vector epochs; + }; + [[nodiscard]] State state() const { + State s {ledger_state(*ledger), {}}; + for (const auto& x : p) s.epochs.push_back(epoch(*x)); + return s; + } +}; + +void expect_unchanged(const World& w, const World::State& before, const std::string& where) { + expect_same(ledger_state(*w.ledger), before.ledger, where); + ASSERT_EQ(w.p.size(), before.epochs.size()); + for (std::size_t i = 0; i < w.p.size(); ++i) expect_unchanged(epoch(*w.p[i]), before.epochs[i], where + ", policy " + std::to_string(i)); +} + +// The message of the std::invalid_argument the list raises ("" for none), and that nothing changed. +std::string refused(World& w, const Actions& actions, BatchMode mode, const OutputOptions& outputs = {}) { + const auto before = w.state(); + const std::string what = error_of([&] { (void)apply_actions(*w.ledger, actions, mode, outputs); }); + expect_unchanged(w, before, "refused: " + what); + return what; +} + +std::vector run(World& w, const Actions& actions, BatchMode mode, const OutputOptions& outputs = {}) { + auto out = apply_actions(*w.ledger, actions, mode, outputs); + expect_balanced(*w.ledger, "after the list"); + return out; +} + +Amounts delivered(const std::vector& rs) { + Amounts out; + for (const auto& r : rs) out.push_back(r.call_delivered); + return out; +} + +const OutputOptions kAll {.edge_flows = true, .residual = true, .saturated_boundary_edges = true, .edge_reservations = true}; + +// The step-3 cycle Pc: CYC(1, 2), two tunnels crossing X (e0) and Y (e3) in opposite orders, +// weights 1 and 2; its replace(3) enters a period-2 cycle. +std::shared_ptr cyc12() { + return graph(6, {{0, 1, 1, 1}, {1, 2, 1000, 1}, {1, 5, 1000, 1}, {2, 3, 2, 1}, {3, 0, 1000, 1}, {3, 5, 1000, 1}, {4, 0, 1000, 1}, + {4, 2, 1000, 1}}); +} +std::shared_ptr pc_program(const Graph& g) { + return tunnels(g, {4}, {5}, {{4, {6, 0, 1, 3, 5}, 1}, {4, {7, 3, 4, 0, 2}, 2}}); +} + +// ---------------------------------------------------------------- validation + +// An empty list returns nothing in both modes; a mode outside BatchMode is refused even then. +TEST(ApplyActions, EmptyList) { + World w(graph(2, {{0, 1, 10, 1}})); + auto& e = w.add({0}, {1}, ecmp()); + (void)e.place(3); + const auto before = w.state(); + EXPECT_TRUE(run(w, {}, ORDERED).empty()); + EXPECT_TRUE(run(w, {}, SIMULTANEOUS).empty()); + expect_unchanged(w, before, "empty"); + EXPECT_EQ(refused(w, {}, static_cast(7)), "mode: 7 is not a value of BatchMode"); + EXPECT_EQ(refused(w, {Place {e, 1}}, static_cast(7)), "mode: 7 is not a value of BatchMode"); +} + +// Ownership, then the duplicate rule, per action in list order. +TEST(ApplyActions, Duplicate) { + World w(graph(2, {{0, 1, 10, 1}})); + auto& e = w.add({0}, {1}, ecmp()); + auto& e2 = w.add({0}, {1}, ecmp()); + World other(graph(2, {{0, 1, 10, 1}})); + auto& x = other.add({0}, {1}, ecmp()); + (void)e.place(2); + for (BatchMode mode : {ORDERED}) { + EXPECT_EQ(refused(w, {Place {e, 1}, Place {e, 2}}, mode), "duplicate policy in list"); + EXPECT_EQ(refused(w, {Place {x, 1}}, mode), "list policy belongs to another ledger"); + EXPECT_EQ(refused(w, {Place {x, 1}, Place {x, 1}}, mode), "list policy belongs to another ledger"); + EXPECT_EQ(refused(w, {Place {e, 1}, Place {e, -1}}, mode), "duplicate policy in list"); + EXPECT_EQ(refused(w, {Place {e, -1}, Place {e2, 1}}, mode), kOffer); + EXPECT_EQ(refused(w, {Place {e, -1}, Place {x, 1}}, mode), kOffer); + } + EXPECT_EQ(refused(w, {Replace {e, 1}, Forward {e, 1}}, SIMULTANEOUS), "duplicate policy in list"); + EXPECT_EQ(refused(w, {Replace {e, 1}, Forward {e, 1}}, ORDERED), "duplicate policy in list"); +} + +// The SIMULTANEOUS rules in their order (kind, the Replace model, admission, +// finiteness), then the scalar call's checks. +TEST(ApplyActions, SimultaneousRefusals) { + World w(graph(2, {{0, 1, 10, 1}})); + auto& e = w.add({0}, {1}, ecmp()); + auto& e2 = w.add({0}, {1}, ecmp()); + auto& f = w.add({0}, {1}, ecmp(LOSSLESS)); + auto& t = w.add({0}, {1}, t1()); + auto& k = w.add({0}, {1}, global()); + auto& opt = w.add({0}, {1}, FlowPolicyConfig {.routing = shortest_paths(RouteAllocation::Optimized), .admission = LOSSLESS}); + auto& tt = w.add({0}, {1}, t2()); + auto& p = w.pin(tunnel(*w.g, 0, 1, {0})); + auto& pll = w.pin(tunnel(*w.g, 0, 1, {0}), LOSSLESS); + (void)k.place(1); + EXPECT_EQ(refused(w, {Place {e, 1}}, SIMULTANEOUS), "SIMULTANEOUS does not accept Place"); + const std::string model = "SIMULTANEOUS Replace requires ShortestPaths EQUAL or WEIGHTED, or Pinned"; + EXPECT_EQ(refused(w, {Replace {t, 1}}, SIMULTANEOUS), model); + EXPECT_EQ(refused(w, {Replace {k, 1}}, SIMULTANEOUS), model); + EXPECT_EQ(refused(w, {Replace {opt, 1}}, SIMULTANEOUS), model); + EXPECT_EQ(refused(w, {Replace {tt, 1}}, SIMULTANEOUS), model); + const std::string lossy = "SIMULTANEOUS requires admission=LOSSY"; + EXPECT_EQ(refused(w, {Replace {f, 1}}, SIMULTANEOUS), lossy); + EXPECT_EQ(refused(w, {Replace {pll, 1}}, SIMULTANEOUS), lossy); + EXPECT_EQ(refused(w, {Forward {k, 1}}, SIMULTANEOUS), lossy); + EXPECT_EQ(refused(w, {Replace {e, INF}}, SIMULTANEOUS), "SIMULTANEOUS requires finite offers"); + EXPECT_EQ(refused(w, {Forward {p, 1}}, SIMULTANEOUS), "Pinned forwards with replace"); + EXPECT_EQ(refused(w, {Forward {e2, 1}}, SIMULTANEOUS), "forward requires an installed program"); + EXPECT_EQ(refused(w, {Replace {e, -1}}, SIMULTANEOUS), kOffer); + EXPECT_EQ(refused(w, {Replace {e, 1, std::optional {1}}}, SIMULTANEOUS), "ShortestPaths does not accept design_demand"); + // Several invalid parts in one action. + EXPECT_EQ(refused(w, {Forward {e2, INF}}, SIMULTANEOUS), "SIMULTANEOUS requires finite offers"); + EXPECT_EQ(refused(w, {Forward {k, INF}}, SIMULTANEOUS), lossy); + EXPECT_EQ(refused(w, {Replace {t, -1}}, SIMULTANEOUS), model); +} + +// ORDERED runs the scalar checks. +TEST(ApplyActions, OrderedScalarChecks) { + World w(graph(2, {{0, 1, 10, 1}})); + World other(graph(2, {{0, 1, 10, 1}})); + auto& e = w.add({0}, {1}, ecmp()); + auto& t = w.add({0}, {1}, t1()); + auto& tt = w.add({0}, {1}, t2()); + auto& inf = w.add({0}, {1}, ecmp()); + (void)inf.place(INF); + (void)e.place(1); + EXPECT_EQ(refused(w, {Place {t, 1}}, ORDERED), "DistributedTE does not support incremental placement"); + EXPECT_EQ(refused(w, {Place {tt, 0}}, ORDERED), "CentralizedTE with tunnel_count does not support incremental placement"); + const auto foreign = no_edges(*other.g, {0}); + EXPECT_EQ(refused(w, {Forward {e, 1, foreign.get()}}, ORDERED), "black_holes belongs to another graph"); + EXPECT_EQ(refused(w, {Place {inf, 1}}, ORDERED), "finite placement after infinite placement requires a new epoch"); + EXPECT_EQ(refused(w, {Place {t, -1}}, ORDERED), "DistributedTE does not support incremental placement"); +} + +// An invalid last action of a long list: refused before anything is computed (not the +// period-2 error the first action's computation raises). +TEST(ApplyActions, InvalidLastActionChangesNothing) { + World w(cyc12()); + auto& pc = w.pin(pc_program(*w.g)); + auto& t = w.add({4}, {5}, t1()); + std::vector fresh; + for (int i = 0; i < 48; ++i) fresh.push_back(&w.add({4}, {5}, ecmp())); + auto& e = w.add({4}, {5}, ecmp()); + Actions ordered {Replace {pc, 3}}; + for (auto* f : fresh) ordered.push_back(Place {*f, 1}); + ordered.push_back(Place {t, 1}); + EXPECT_EQ(refused(w, ordered, ORDERED), "DistributedTE does not support incremental placement"); + Actions simultaneous {Replace {pc, 3}}; + for (auto* f : fresh) simultaneous.push_back(Replace {*f, 1}); + simultaneous.push_back(Place {e, 1}); + EXPECT_EQ(refused(w, simultaneous, SIMULTANEOUS), "SIMULTANEOUS does not accept Place"); + // Controls: the same lists without their last action reach the computation's error. + ordered.pop_back(); + simultaneous.pop_back(); + EXPECT_EQ(refused(w, ordered, ORDERED), kPeriodTwo); + EXPECT_EQ(refused(w, simultaneous, SIMULTANEOUS), kPeriodTwo); +} + +// ---------------------------------------------------------------- ORDERED + +// Earlier actions are served first; a reservation protects nothing. +TEST(ApplyActions, OrderIsPriority) { + for (bool tunnel_first : {false, true}) { + World w(graph(2, {{0, 1, 10, 1}})); + auto& e = w.add({0}, {1}, ecmp()); + auto& t = w.add({0}, {1}, t1()); + const Actions list = tunnel_first ? Actions {Replace {t, 10, std::optional {10}}, Replace {e, 10}} + : Actions {Replace {e, 10}, Replace {t, 10, std::optional {10}}}; + const auto r = run(w, list, ORDERED); + const auto& er = tunnel_first ? r[1] : r[0]; + const auto& tr = tunnel_first ? r[0] : r[1]; + if (!tunnel_first) { + EXPECT_EQ(er.call_delivered, 10); + EXPECT_EQ(tr.call_delivered, 0); + EXPECT_EQ(tr.call_edge_drops, (Pairs {{0, 10}})); + ASSERT_EQ(tr.by_tunnel.size(), 1U); + EXPECT_EQ(tr.by_tunnel[0].status, TunnelStatus::Up); + } else { + EXPECT_EQ(tr.call_delivered, 10); + EXPECT_EQ(er.call_delivered, 0); + EXPECT_EQ(er.call_edge_drops, (Pairs {{0, 10}})); + } + EXPECT_EQ(w.ledger->carried(), (Amounts {10})); + EXPECT_EQ(w.ledger->reserved(), (Amounts {10})); + EXPECT_EQ(w.ledger->residual(), (Amounts {0})); + EXPECT_EQ(w.ledger->unreserved(), (Amounts {0})); + } +} + +// New FlowIds follow list order (as the scalar sequence B, A), not creation order. +TEST(ApplyActions, FlowIdsInListOrder) { + World w(graph(2, {{0, 1, 10, 1}})); + auto& a = w.add({0}, {1}, ecmp()); + auto& b = w.add({0}, {1}, ecmp()); + (void)run(w, {Replace {b, 1}, Replace {a, 1}}, ORDERED); + ASSERT_EQ(b.records().size(), 1U); + ASSERT_EQ(a.records().size(), 1U); + EXPECT_EQ(b.records()[0].flow_id, (FlowId {w.ledger->uid(), 0})); + EXPECT_EQ(a.records()[0].flow_id, (FlowId {w.ledger->uid(), 1})); +} + +// LIST-outputs-ordered: each action's outputs read the state after it. +TEST(ApplyActions, OrderedOutputsAfterEachAction) { + World w(graph(2, {{0, 1, 10, 1}})); + auto& a = w.add({0}, {1}, ecmp()); + auto& b = w.add({0}, {1}, ecmp()); + const OutputOptions o {.edge_flows = true, .residual = true, .saturated_boundary_edges = true}; + const auto r = run(w, {Replace {a, 7}, Replace {b, 7}}, ORDERED, o); + EXPECT_EQ(r[0].call_delivered, 7); + EXPECT_EQ(*r[0].residual, (Amounts {3})); + EXPECT_EQ(*r[0].saturated_boundary_edges, (std::vector {})); + EXPECT_EQ(*r[0].edge_flows, (Amounts {7})); + EXPECT_EQ(r[1].call_delivered, 3); + EXPECT_EQ(r[1].call_edge_drops, (Pairs {{0, 4}})); + EXPECT_EQ(*r[1].residual, (Amounts {0})); + EXPECT_EQ(*r[1].saturated_boundary_edges, (std::vector {0})); + EXPECT_EQ(*r[1].edge_flows, (Amounts {3})); +} + +// Holds after each action: the second T1 sets up on the first's hold. +TEST(ApplyActions, OrderedHoldsAfterEachAction) { + for (bool reversed : {false, true}) { + World w(graph(2, {{0, 1, 10, 1}})); + auto& t = w.add({0}, {1}, t1()); + auto& u = w.add({0}, {1}, t1()); + const OutputOptions o {.edge_reservations = true}; + const Replace rt {t, 10, std::optional {10}}; + const Replace ru {u, 10, std::optional {10}}; + const auto r = run(w, reversed ? Actions {ru, rt} : Actions {rt, ru}, ORDERED, o); + const auto& first = r[0]; + const auto& second = r[1]; + ASSERT_EQ(first.by_tunnel.size(), 1U); + EXPECT_EQ(first.by_tunnel[0].status, TunnelStatus::Up); + EXPECT_EQ(first.call_delivered, 10); + EXPECT_EQ(*first.edge_reservations, (Amounts {10})); + ASSERT_EQ(second.by_tunnel.size(), 1U); + EXPECT_EQ(second.by_tunnel[0].status, TunnelStatus::InsufficientBandwidth); + EXPECT_EQ(second.call_source_drops, 10); + EXPECT_EQ(second.call_delivered, 0); + EXPECT_EQ(*second.edge_reservations, (Amounts {0})); + EXPECT_EQ(w.ledger->reserved(), (Amounts {10})); + } +} + +// Normal outcomes commit; a zero place publishes nothing. +TEST(ApplyActions, NormalOutcomesCommit) { + World w(graph(2, {{0, 1, 10, 1}})); + auto& e = w.add({0}, {1}, ecmp()); + auto& f = w.add({0}, {1}, ecmp(LOSSLESS)); + auto& e2 = w.add({0}, {1}, ecmp()); + const auto r = run(w, {Replace {e, 10}, Replace {f, 5}}, ORDERED); + EXPECT_EQ(r[0].call_delivered, 10); + EXPECT_EQ(r[1].call_delivered, 0); + EXPECT_EQ(r[1].termination, Termination::Exhausted); + EXPECT_EQ(r[1].call_undelivered, 5); + ASSERT_EQ(f.records().size(), 1U); + EXPECT_EQ(f.records()[0].delivered, 0); + const auto before = w.state(); + const auto z = run(w, {Place {e2, 0}}, ORDERED, OutputOptions {.residual = true}); + EXPECT_EQ(z[0].call_delivered, 0); + EXPECT_EQ(z[0].program, nullptr); + EXPECT_FALSE(z[0].routes_changed); + EXPECT_EQ(*z[0].residual, (Amounts {0})); + expect_unchanged(w, before, "a zero place"); +} + +// An error mid-list publishes nothing (A, on its own link 6 -> 7, keeps its old record and id). +TEST(ApplyActions, ErrorLeavesEverythingUnchanged) { + World w(graph(8, {{0, 1, 1, 1}, {1, 2, 1000, 1}, {1, 5, 1000, 1}, {2, 3, 2, 1}, {3, 0, 1000, 1}, {3, 5, 1000, 1}, {4, 0, 1000, 1}, + {4, 2, 1000, 1}, {6, 7, 10, 1}})); + auto& a = w.add({6}, {7}, ecmp()); + auto& pc = w.pin(pc_program(*w.g)); + (void)a.place(2); + const auto id = a.records()[0].flow_id; + EXPECT_EQ(refused(w, {Replace {a, 5}, Replace {pc, 3}}, ORDERED), kPeriodTwo); + EXPECT_EQ(a.delivered(), 2); + EXPECT_EQ(a.records()[0].flow_id, id); +} + +// Successful infinities in ORDERED lists and the first-hop experiment. +TEST(ApplyActions, InfiniteOrderedActions) { + { + World w(graph(2, {{0, 1, 10, 1}})); + auto& f = w.add({0}, {1}, ecmp(LOSSLESS)); + auto& e = w.add({0}, {1}, ecmp()); + const auto r = run(w, {Replace {f, INF}, Replace {e, 1}}, ORDERED); + EXPECT_EQ(r[0].call_delivered, 10); + EXPECT_FALSE(r[0].requested.has_value()); + EXPECT_FALSE(r[0].offered.has_value()); + EXPECT_FALSE(r[0].unadmitted.has_value()); + EXPECT_FALSE(r[0].call_undelivered.has_value()); + EXPECT_EQ(r[0].termination, Termination::Exhausted); + EXPECT_EQ(r[1].call_delivered, 0); + EXPECT_EQ(r[1].call_edge_drops, (Pairs {{0, 1}})); + EXPECT_EQ(r[1].termination, Termination::Complete); + } + const auto par = [] { return graph(2, {{0, 1, 4, 1}, {0, 1, 10, 1}}); }; + { + World w(par()); + auto& e = w.add({0}, {1}, ecmp()); + const auto r = run(w, {Place {e, INF}}, ORDERED); + EXPECT_FALSE(r[0].requested.has_value()); + EXPECT_EQ(lo(*r[0].offered), 14); + EXPECT_EQ(r[0].call_delivered, 14); + EXPECT_TRUE(r[0].call_edge_drops.empty()); + EXPECT_EQ(r[0].termination, Termination::Exhausted); + EXPECT_EQ(refused(w, {Place {e, 0}}, ORDERED), "finite placement after infinite placement requires a new epoch"); + } + { + World w(par()); + auto& e = w.add({0}, {1}, ecmp()); + const auto r = run(w, {Replace {e, 12}}, ORDERED); + EXPECT_EQ(r[0].call_delivered, 10); + EXPECT_EQ(r[0].call_edge_drops, (Pairs {{0, 2}})); + const auto before = w.state(); + (void)run(w, {Place {e, 0}}, ORDERED); + expect_unchanged(w, before, "a zero place after a finite replace"); + } + { + World w(par()); + auto& e = w.add({0}, {1}, ecmp()); + (void)run(w, {Place {e, INF}}, ORDERED); + const auto r = run(w, {Replace {e, 12}}, ORDERED); + EXPECT_EQ(r[0].call_delivered, 10); + EXPECT_EQ(r[0].call_edge_drops, (Pairs {{0, 2}})); + EXPECT_NO_THROW((void)run(w, {Place {e, 0}}, ORDERED)); + } +} + +// A returned counter crosses 2^64 (a place keeps its record's id). +TEST(ApplyActions, CountersCrossTwoToThe64) { + const Amount w62 = kL62 - 1; + World w(graph(2, {{0, 1, 10, 1}})); + auto& e = w.add({0}, {1}, ecmp()); + for (int i = 0; i < 4; ++i) (void)e.place(w62); + const auto id = e.records()[0].flow_id; + const auto r = run(w, {Place {e, w62}}, ORDERED); + // 5w = 5 * (2^62 - 1) = 2^64 + 2^62 - 5. + const Counter128 want {1, (std::uint64_t {1} << 62) - 5}; + EXPECT_EQ(r[0].requested, want); + EXPECT_EQ(r[0].offered, want); + EXPECT_EQ(r[0].admitted, want); + EXPECT_EQ(r[0].delivered, 10); + ASSERT_EQ(r[0].edge_drops.size(), 1U); + EXPECT_EQ(r[0].edge_drops[0].second, (Counter128 {1, (std::uint64_t {1} << 62) - 15})); + EXPECT_EQ(r[0].call_delivered, 0); + EXPECT_EQ(r[0].call_undelivered, w62); + EXPECT_EQ(r[0].call_edge_drops, (Pairs {{0, w62}})); + EXPECT_EQ(e.records()[0].flow_id, id); +} + +// ---------------------------------------------------------------- SIMULTANEOUS + +// D-simultaneous with its ORDERED contrast. +TEST(ApplyActions, OrderedAgainstSimultaneous) { + for (BatchMode mode : {SIMULTANEOUS, ORDERED}) { + World w(graph(2, {{0, 1, 10, 1}})); + auto& a = w.add({0}, {1}, ecmp()); + auto& b = w.add({0}, {1}, ecmp()); + const auto r = run(w, {Replace {a, 10}, Replace {b, 10}}, mode); + if (mode == SIMULTANEOUS) { + EXPECT_EQ(delivered(r), (Amounts {5, 5})); + EXPECT_EQ(r[0].call_edge_drops, (Pairs {{0, 5}})); + EXPECT_EQ(r[1].call_edge_drops, (Pairs {{0, 5}})); + } else { + EXPECT_EQ(delivered(r), (Amounts {10, 0})); + EXPECT_TRUE(r[0].call_edge_drops.empty()); + EXPECT_EQ(r[1].call_edge_drops, (Pairs {{0, 10}})); + } + } +} + +// The participants' old load is released together; permutation, repeat, removal. +TEST(ApplyActions, SimultaneousViewReleasesTogether) { + auto setup = [](World& w) { + auto& o = w.add({0}, {1}, ecmp()); + auto& a = w.add({0}, {1}, ecmp()); + auto& b = w.add({0}, {1}, ecmp()); + (void)o.place(4); + (void)a.place(1); + (void)b.place(5); + return std::tuple {&o, &a, &b}; + }; + World w(graph(2, {{0, 1, 10, 1}})); + auto [o, a, b] = setup(w); + const auto o_before = epoch(*o); + const auto r = run(w, {Replace {*a, 10}, Replace {*b, 10}}, SIMULTANEOUS); + EXPECT_EQ(delivered(r), (Amounts {3, 3})); + EXPECT_EQ(r[0].call_edge_drops, (Pairs {{0, 7}})); + EXPECT_EQ(r[0].delivery_delta, 2); + EXPECT_EQ(r[1].delivery_delta, -2); + EXPECT_EQ(w.ledger->carried(), (Amounts {10})); + expect_unchanged(epoch(*o), o_before, "the outside owner"); + // Permuted, the same per-policy results in list order. + World w2(graph(2, {{0, 1, 10, 1}})); + auto [o2, a2, b2] = setup(w2); + const auto r2 = run(w2, {Replace {*b2, 10}, Replace {*a2, 10}}, SIMULTANEOUS); + expect_same(r2[0], r[1], "permuted B"); + expect_same(r2[1], r[0], "permuted A"); + // The same loads; the new records' FlowIds follow list order. + EXPECT_EQ(w2.ledger->carried(), w.ledger->carried()); + EXPECT_EQ(a2->delivered(), a->delivered()); + EXPECT_EQ(b2->delivered(), b->delivered()); + EXPECT_EQ(b2->records()[0].flow_id.second + 1, a2->records()[0].flow_id.second); + // Repeated: the same amounts, delivery_delta 0, new FlowIds. + const auto ids = a->records()[0].flow_id; + const auto again = run(w, {Replace {*a, 10}, Replace {*b, 10}}, SIMULTANEOUS); + EXPECT_EQ(delivered(again), (Amounts {3, 3})); + EXPECT_EQ(again[0].delivery_delta, 0); + EXPECT_NE(a->records()[0].flow_id, ids); + // Removing A later frees only its traffic. + a->remove(); + EXPECT_EQ(w.ledger->carried(), (Amounts {7})); + EXPECT_EQ(b->delivered(), 3); + // ORDERED the same list (the contrast): A on 0 + 1, B on 0 + 5. + World w3(graph(2, {{0, 1, 10, 1}})); + auto [o3, a3, b3] = setup(w3); + EXPECT_EQ(delivered(run(w3, {Replace {*a3, 10}, Replace {*b3, 10}}, ORDERED)), (Amounts {1, 5})); +} + +// A ShortestPaths replace is prepared on the list's view (a residual snapshot reads it). +TEST(ApplyActions, SimultaneousPreparationReadsTheView) { + for (BatchMode mode : {SIMULTANEOUS, ORDERED}) { + World w(graph(2, {{0, 1, 10, 1}, {0, 1, 10, 1}})); + ShortestPaths snap = shortest_paths(RouteAllocation::Weighted); + snap.weight_basis = WeightBasis::ResidualSnapshot; + auto& a = w.add({0}, {1}, FlowPolicyConfig {.routing = snap, .admission = LOSSY}); + (void)a.replace(2); + auto& o = w.pin(tunnel(*w.g, 0, 1, {0})); + (void)o.place(8); + auto& b = w.add({0}, {1}, ecmp()); + const auto r = run(w, {Replace {a, 12}, Replace {b, 4}}, mode); + if (mode == SIMULTANEOUS) { + EXPECT_TRUE(r[0].weights_changed); + EXPECT_FALSE(r[0].routes_changed); + EXPECT_EQ(r[0].call_delivered, 10); + EXPECT_EQ(r[0].call_edge_drops, (Pairs {{0, 1}, {1, 1}})); + EXPECT_EQ(r[1].call_delivered, 2); + EXPECT_EQ(r[1].call_edge_drops, (Pairs {{0, 1}, {1, 1}})); + EXPECT_EQ(w.ledger->carried(), (Amounts {10, 10})); + } else { + EXPECT_EQ(r[0].call_delivered, 12); + EXPECT_EQ(r[1].call_delivered, 0); + EXPECT_EQ(r[1].call_edge_drops, (Pairs {{0, 2}, {1, 2}})); + } + } + // The other participant's old load is released before the preparation: B (a tunnel on edge 0) + // carries 8, the list replaces A (12) and B (8). On the list's view A's snapshot is (10, 10): + // A splits (6, 6), edge 0 shares 10 over A 6 and B 8 by highest averages, (4, 6) (A created + // first). On A's own view (B's 8 counted) it would be (2, 10), and nothing would drop. A single + // path by HIGHER_AVAILABLE_CAPACITY ties on the list's view and takes edge 0 (on A's own view, + // edge 1): edge 0 shares 10 over A 12 and B 8, (6, 4). + ShortestPaths snap = shortest_paths(RouteAllocation::Weighted); + snap.weight_basis = WeightBasis::ResidualSnapshot; + ShortestPaths single = shortest_paths(); + single.tie_break = RouteTieBreak::HigherAvailableCapacity; + single.multipath = false; + single.parallel_edges = false; + for (const auto& [model, a_flows, want_delivered, want_carried] : + std::vector> {{snap, {{0, 4}, {1, 6}}, {10, 6}, {10, 6}}, + {single, {{0, 6}}, {6, 4}, {10, 0}}}) { + World w(graph(2, {{0, 1, 10, 1}, {0, 1, 10, 1}})); + auto& a = w.add({0}, {1}, FlowPolicyConfig {.routing = model, .admission = LOSSY}); + auto& b = w.pin(tunnel(*w.g, 0, 1, {0})); + (void)b.replace(8); + const auto r = run(w, {Replace {a, 12}, Replace {b, 8}}, SIMULTANEOUS); + ASSERT_EQ(a.records().size(), 1U); + EXPECT_EQ(a.records()[0].edge_flows, a_flows); + EXPECT_EQ(delivered(r), want_delivered); + EXPECT_EQ(w.ledger->carried(), want_carried); + } +} + +// Ties follow creation order, never list position. +TEST(ApplyActions, TiesFollowCreationOrder) { + World w(graph(2, {{0, 1, 1, 1}})); + const auto prog = tunnel(*w.g, 0, 1, {0}); + auto& p0 = w.pin(prog); + auto& p1 = w.pin(prog); + const auto r = run(w, {Replace {p1, 1}, Replace {p0, 1}}, SIMULTANEOUS); + EXPECT_EQ(delivered(r), (Amounts {0, 1})); + EXPECT_EQ(r[0].call_edge_drops, (Pairs {{0, 1}})); + World w2(graph(2, {{0, 1, 1, 1}})); + const auto prog2 = tunnel(*w2.g, 0, 1, {0}); + auto& q1 = w2.pin(prog2); + auto& q0 = w2.pin(prog2); + EXPECT_EQ(delivered(run(w2, {Replace {q1, 1}, Replace {q0, 1}}, SIMULTANEOUS)), (Amounts {1, 0})); +} + +// A pooled demand shares a link; every field of both entries. +TEST(ApplyActions, PooledDemandSharesALink) { + World w(graph(5, {{0, 2, 10, 1}, {1, 2, 10, 1}, {2, 3, 1, 1}, {2, 3, 1, 1}, {4, 2, 10, 1}})); + auto& a = w.add({0, 1}, {3}, ecmp()); + auto& b = w.pin(tunnel(*w.g, 4, 3, {4, 2})); + const auto r = run(w, {Replace {a, 2}, Replace {b, 2}}, SIMULTANEOUS, kAll); + const auto& ra = r[0]; + EXPECT_EQ(ra.call_delivered, 1); + EXPECT_EQ(ra.call_undelivered, 1); + EXPECT_EQ(ra.delivery_delta, 1); + EXPECT_EQ(ra.call_edge_drops, (Pairs {{2, 1}})); + EXPECT_EQ(ra.call_source_drops, 0); + EXPECT_EQ(ra.termination, Termination::Complete); + EXPECT_TRUE(ra.routes_changed); + EXPECT_TRUE(ra.weights_changed); + EXPECT_FALSE(ra.reservations_changed); + ASSERT_NE(ra.program, nullptr); + EXPECT_TRUE(ra.program->tunnels().empty()); + EXPECT_FALSE(ra.plan.has_value()); + EXPECT_EQ(lo(*ra.requested), 2); + EXPECT_EQ(lo(*ra.offered), 2); + EXPECT_EQ(lo(ra.admitted), 2); + EXPECT_EQ(ra.delivered, 1); + EXPECT_EQ(lo(*ra.unadmitted), 0); + EXPECT_EQ(lo(ra.source_drops), 0); + ASSERT_EQ(ra.edge_drops.size(), 1U); + EXPECT_EQ(ra.edge_drops[0].first, 2); + EXPECT_EQ(lo(ra.edge_drops[0].second), 1); + ASSERT_EQ(ra.by_source.size(), 2U); + EXPECT_EQ(ra.by_source[0].source, 0); + EXPECT_EQ(lo(*ra.by_source[0].offered), 1); + EXPECT_EQ(ra.by_source[0].delivered, 0); + EXPECT_EQ(lo(ra.by_source[0].total_edge_drops), 1); + EXPECT_EQ(ra.by_source[1].source, 1); + EXPECT_EQ(lo(*ra.by_source[1].offered), 1); + EXPECT_EQ(ra.by_source[1].delivered, 1); + EXPECT_TRUE(ra.by_tunnel.empty()); + EXPECT_FALSE(ra.total_cost.has_value()); + EXPECT_FALSE(ra.marginal_cost_curve.has_value()); + EXPECT_EQ(*ra.edge_flows, (Amounts {1, 1, 0, 1, 0})); + EXPECT_EQ(*ra.residual, (Amounts {9, 9, 0, 0, 8})); + EXPECT_EQ(*ra.saturated_boundary_edges, (std::vector {2, 3})); + EXPECT_EQ(*ra.edge_reservations, (Amounts {0, 0, 0, 0, 0})); + EXPECT_FALSE(ra.min_cut.has_value()); + const auto recs = a.records(); + ASSERT_EQ(recs.size(), 2U); + EXPECT_EQ(recs[0].edge_flows, (Pairs {{0, 1}})); + ASSERT_EQ(recs[0].edge_drops.size(), 1U); + EXPECT_EQ(recs[1].edge_flows, (Pairs {{1, 1}, {3, 1}})); + EXPECT_TRUE(recs[1].edge_drops.empty()); + const auto& rb = r[1]; + EXPECT_EQ(rb.call_delivered, 1); + EXPECT_EQ(rb.call_undelivered, 1); + EXPECT_EQ(rb.delivery_delta, 1); + EXPECT_EQ(rb.call_edge_drops, (Pairs {{2, 1}})); + EXPECT_EQ(rb.termination, Termination::Complete); + EXPECT_TRUE(rb.routes_changed); + EXPECT_TRUE(rb.weights_changed); + ASSERT_EQ(rb.by_tunnel.size(), 1U); + EXPECT_EQ(rb.by_tunnel[0].head, 4); + EXPECT_EQ(rb.by_tunnel[0].status, TunnelStatus::Up); + EXPECT_EQ(lo(rb.by_tunnel[0].assigned), 2); + EXPECT_EQ(rb.by_tunnel[0].delivered, 1); + EXPECT_EQ(lo(rb.by_tunnel[0].total_edge_drops), 1); + EXPECT_EQ(*rb.edge_flows, (Amounts {0, 0, 1, 0, 2})); + EXPECT_EQ(*rb.residual, (Amounts {9, 9, 0, 0, 8})); + EXPECT_EQ(w.ledger->carried(), (Amounts {1, 1, 1, 1, 2})); +} + +// The list itself: n entries in input order. +TEST(ApplyActions, ResultsInInputOrder) { + World w(graph(4, {{0, 1, 10, 1}, {2, 3, 10, 1}})); + auto& a = w.pin(tunnel(*w.g, 0, 1, {0})); + auto& b = w.pin(tunnel(*w.g, 2, 3, {1})); + for (BatchMode mode : {ORDERED, SIMULTANEOUS}) { + const auto r = run(w, {Replace {b, 7}, Replace {a, 3}}, mode); + ASSERT_EQ(r.size(), 2U); + EXPECT_EQ(delivered(r), (Amounts {7, 3})); + EXPECT_EQ(r[0].program->tunnels()[0].head, 2); + } +} + +// The demand level above tunnels and sources. +TEST(ApplyActions, DemandLevelAboveTunnels) { + World w(graph(2, {{0, 1, 1, 1}})); + auto& a = w.pin(tunnels(*w.g, {0}, {1}, {{0, {0}, 1}, {0, {0}, 1}})); + auto& b = w.pin(tunnel(*w.g, 0, 1, {0})); + const auto r = run(w, {Replace {a, 2}, Replace {b, 2}}, SIMULTANEOUS); + EXPECT_EQ(r[0].call_delivered, 1); + EXPECT_EQ(r[0].by_tunnel[0].delivered, 1); + EXPECT_EQ(r[0].by_tunnel[1].delivered, 0); + EXPECT_EQ(r[1].call_delivered, 0); + World w2(graph(2, {{0, 1, 1, 1}})); + auto& b2 = w2.pin(tunnel(*w2.g, 0, 1, {0})); + auto& a2 = w2.pin(tunnels(*w2.g, {0}, {1}, {{0, {0}, 1}, {0, {0}, 1}})); + EXPECT_EQ(delivered(run(w2, {Replace {a2, 2}, Replace {b2, 2}}, SIMULTANEOUS)), (Amounts {0, 1})); +} + +TEST(ApplyActions, DemandLevelAboveSources) { + World w(graph(6, {{1, 3, 100, 1}, {2, 3, 100, 1}, {3, 4, 1, 1}, {5, 3, 100, 1}})); + auto& a = w.pin(tunnels(*w.g, {1, 2}, {4}, {{1, {0, 2}, 1}, {2, {1, 2}, 1}})); + auto& b = w.pin(tunnel(*w.g, 5, 4, {3, 2})); + const auto r = run(w, {Replace {a, 2}, Replace {b, 2}}, SIMULTANEOUS); + EXPECT_EQ(r[0].call_delivered, 1); + EXPECT_EQ(r[0].by_tunnel[0].delivered, 1); + EXPECT_EQ(r[1].call_delivered, 0); +} + +// LIST-black-hole-own and a Forward with black holes: each participant's black holes are its own. +TEST(ApplyActions, BlackHolesOfOneParticipant) { + { + World w(graph(2, {{0, 1, 10, 1}})); + auto& a = w.pin(tunnel(*w.g, 0, 1, {0}), LOSSY, no_edges(*w.g, {0})); + auto& b = w.add({0}, {1}, ecmp()); + const auto r = run(w, {Replace {a, 10}, Replace {b, 10}}, SIMULTANEOUS, OutputOptions {.residual = true, .saturated_boundary_edges = true}); + EXPECT_EQ(r[0].call_delivered, 0); + EXPECT_EQ(r[0].call_edge_drops, (Pairs {{0, 10}})); + EXPECT_EQ(r[0].by_tunnel[0].status, TunnelStatus::Blackholed); + EXPECT_EQ(r[1].call_delivered, 10); + EXPECT_TRUE(r[1].call_edge_drops.empty()); + EXPECT_EQ(*r[0].residual, (Amounts {0})); + EXPECT_EQ(*r[1].residual, (Amounts {0})); + EXPECT_EQ(*r[0].saturated_boundary_edges, (std::vector {0})); + } + { + World w(graph(2, {{0, 1, 10, 1}, {0, 1, 10, 1}})); + auto& a = w.add({0}, {1}, ecmp()); + auto& b = w.add({0}, {1}, ecmp()); + (void)a.replace(2); + const auto bh = no_edges(*w.g, {1}); + const auto r = run(w, {Forward {a, 10, bh.get()}, Replace {b, 10}}, SIMULTANEOUS); + EXPECT_EQ(r[0].call_delivered, 5); + EXPECT_EQ(r[0].call_edge_drops, (Pairs {{1, 5}})); + EXPECT_EQ(r[1].call_delivered, 10); + EXPECT_EQ(w.ledger->carried(), (Amounts {10, 5})); + } +} + +// LIST-black-hole-upstream: a black hole downstream of a shared link; the two links are no +// transparent pair. +TEST(ApplyActions, BlackHoleDownstreamOfASharedLink) { + World w(graph(3, {{0, 1, 10, 1}, {1, 2, 10, 1}})); + auto& a = w.pin(tunnel(*w.g, 0, 2, {0, 1}), LOSSY, no_edges(*w.g, {1})); + auto& b = w.pin(tunnel(*w.g, 0, 2, {0, 1})); + const auto r = run(w, {Replace {a, 10}, Replace {b, 10}}, SIMULTANEOUS, OutputOptions {.residual = true, .saturated_boundary_edges = true}); + EXPECT_EQ(r[0].call_edge_drops, (Pairs {{0, 5}, {1, 5}})); + EXPECT_EQ(r[0].by_tunnel[0].status, TunnelStatus::Blackholed); + EXPECT_EQ(r[1].call_delivered, 5); + EXPECT_EQ(r[1].call_edge_drops, (Pairs {{0, 5}})); + EXPECT_EQ(*r[0].residual, (Amounts {0, 5})); + EXPECT_EQ(*r[0].saturated_boundary_edges, (std::vector {0})); + EXPECT_EQ(*r[1].saturated_boundary_edges, (std::vector {0})); +} + +// A T1 Forward keeps its holds and plan. +TEST(ApplyActions, ForwardKeepsHolds) { + World w(graph(2, {{0, 1, 10, 1}})); + auto& t = w.add({0}, {1}, t1()); + auto& e = w.add({0}, {1}, ecmp()); + (void)t.replace(5, std::optional {5}); + const auto r = run(w, {Forward {t, 10}, Replace {e, 10}}, SIMULTANEOUS); + EXPECT_EQ(r[0].call_delivered, 5); + EXPECT_EQ(r[0].call_edge_drops, (Pairs {{0, 5}})); + EXPECT_FALSE(r[0].routes_changed); + EXPECT_FALSE(r[0].reservations_changed); + ASSERT_TRUE(r[0].plan.has_value()); + EXPECT_EQ(r[0].plan->total_reserved_bandwidth, 5); + ASSERT_EQ(t.records().size(), 1U); + EXPECT_EQ(t.records()[0].edge_reservations, (Pairs {{0, 5}})); + EXPECT_EQ(r[1].call_delivered, 5); + EXPECT_EQ(w.ledger->carried(), (Amounts {10})); + EXPECT_EQ(w.ledger->reserved(), (Amounts {5})); +} + +// Empty rosters and masked participants. +TEST(ApplyActions, EmptyRosterParticipants) { + World w(graph(2, {{0, 1, 10, 1}})); + const auto mask = no_edges(*w.g, {0}); + auto& m = w.add({0}, {1}, ecmp(), mask); + auto& e = w.add({0}, {1}, ecmp()); + auto& p = w.pin(tunnel(*w.g, 0, 1, {0}), LOSSY, nullptr, mask); + const auto r = run(w, {Replace {m, 5}, Replace {e, 10}, Replace {p, 5}}, SIMULTANEOUS); + EXPECT_EQ(r[0].termination, Termination::NoRoute); + EXPECT_EQ(r[0].call_source_drops, 5); + EXPECT_EQ(lo(*r[0].offered), 5); + EXPECT_EQ(lo(r[0].source_drops), 5); + EXPECT_TRUE(m.records().empty()); + EXPECT_EQ(r[1].call_delivered, 10); + EXPECT_EQ(r[2].termination, Termination::NoRoute); + EXPECT_EQ(r[2].call_source_drops, 5); + ASSERT_EQ(p.records().size(), 1U); + EXPECT_EQ(p.records()[0].delivered, 0); +} + +TEST(ApplyActions, EverythingMasked) { + for (BatchMode mode : {ORDERED, SIMULTANEOUS}) { + World w(graph(2, {{0, 1, 10, 1}})); + const auto mask = no_edges(*w.g, {0}); + auto& m1 = w.add({0}, {1}, ecmp(), mask); + auto& m2 = w.add({0}, {1}, ecmp(), mask); + auto& p = w.pin(tunnel(*w.g, 0, 1, {0}), LOSSY, nullptr, mask); + const auto r = run(w, {Replace {m1, 5}, Replace {m2, 5}, Replace {p, 5}}, mode); + for (const auto& x : r) { + EXPECT_EQ(x.termination, Termination::NoRoute); + EXPECT_EQ(x.call_source_drops, 5); + } + EXPECT_TRUE(m1.records().empty()); + EXPECT_TRUE(m2.records().empty()); + ASSERT_EQ(p.records().size(), 1U); + EXPECT_EQ(w.ledger->carried(), (Amounts {0})); + } +} + +// Zero offers prepare and record; an ORDERED zero place does not. +TEST(ApplyActions, ZeroOffers) { + World w(graph(2, {{0, 1, 10, 1}})); + auto& a = w.add({0}, {1}, ecmp()); + auto& b = w.add({0}, {1}, ecmp()); + const auto r = run(w, {Replace {a, 0}, Replace {b, 0}}, SIMULTANEOUS); + for (const auto& x : r) { + EXPECT_EQ(x.termination, Termination::Complete); + EXPECT_EQ(x.call_delivered, 0); + EXPECT_NE(x.program, nullptr); + EXPECT_TRUE(x.routes_changed); + EXPECT_TRUE(x.weights_changed); + } + EXPECT_EQ(a.records().size(), 1U); + EXPECT_EQ(b.records().size(), 1U); + EXPECT_EQ(w.ledger->carried(), (Amounts {0})); +} + +// Holds never enter the view; orphans are fixed load. +TEST(ApplyActions, HoldsAndOrphansStayOutside) { + { + World w(graph(2, {{0, 1, 10, 1}})); + auto& t = w.add({0}, {1}, t1()); + auto& e = w.add({0}, {1}, ecmp()); + (void)t.replace(0, std::optional {10}); + EXPECT_EQ(run(w, {Replace {e, 10}}, SIMULTANEOUS)[0].call_delivered, 10); + } + { + World w(graph(2, {{0, 1, 10, 1}})); + w.add({0}, {1}, ecmp()).place(4); + w.p.pop_back(); // orphaned + auto& a = w.add({0}, {1}, ecmp()); + auto& b = w.add({0}, {1}, ecmp()); + EXPECT_EQ(delivered(run(w, {Replace {a, 10}, Replace {b, 10}}, SIMULTANEOUS)), (Amounts {3, 3})); + EXPECT_EQ(w.ledger->carried(), (Amounts {10})); + } +} + +// An iteration error, and a failed check, publish nothing. +TEST(ApplyActions, IterationErrorsChangeNothing) { + // D-C3 as three Pinned tunnels: A 0, 1 (1); B 1, 2 (1); C 2, 0 (2); V 1, 1, 2 (CYC-like layout: + // each link its own nodes, wide connectors). + World w(shared(make_graph(8, {{0, 1, 1, 1}, {2, 3, 1, 1}, {4, 5, 2, 1}, {1, 2, 1000, 1}, {3, 4, 1000, 1}, {5, 0, 1000, 1}, + {6, 0, 1000, 1}, {6, 2, 1000, 1}, {6, 4, 1000, 1}, {3, 7, 1000, 1}, {5, 7, 1000, 1}, {1, 7, 1000, 1}}))); + // EdgeIds sort by tail: map the input rows. + const auto id = id_of_input(*w.g); + auto ids = [&](std::vector in) { + std::vector out; + for (int i : in) out.push_back(id[static_cast(i)]); + return out; + }; + auto& a = w.pin(tunnel(*w.g, 6, 7, ids({6, 0, 3, 1, 9}))); + auto& b = w.pin(tunnel(*w.g, 6, 7, ids({7, 1, 4, 2, 10}))); + auto& c = w.pin(tunnel(*w.g, 6, 7, ids({8, 2, 5, 0, 11}))); + (void)a.replace(1); + (void)b.replace(1); + (void)c.replace(1); + EXPECT_EQ(refused(w, {Replace {a, 1}, Replace {b, 1}, Replace {c, 2}}, SIMULTANEOUS), kPeriodTwo); +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(detail::thread_lossy_counters().rounds, 3); + // The independent check across demands, through the hook (a settling cyclic list). + World s(graph(6, {{0, 1, 1, 1}, {1, 2, 1000, 1}, {1, 5, 1000, 1}, {2, 3, 1, 1}, {3, 0, 1000, 1}, {3, 5, 1000, 1}, + {4, 0, 1000, 1}, {4, 2, 1000, 1}})); + auto& x = s.pin(tunnel(*s.g, 4, 5, {6, 0, 1, 3, 5})); + auto& y = s.pin(tunnel(*s.g, 4, 5, {7, 3, 4, 0, 2})); + const auto before = s.state(); + detail::thread_lossy_counters().corrupt = true; + std::string what; + try { + (void)apply_actions(*s.ledger, Actions {Replace {x, 1}, Replace {y, 1}}, SIMULTANEOUS); + } catch (const std::runtime_error& e) { + what = e.what(); + } + detail::thread_lossy_counters().corrupt = false; + EXPECT_EQ(what, "lossy forwarding fixed-point verification failed"); + expect_unchanged(s, before, "the failed check"); + // One unit moved between the two occurrences of one barrier before the final forwarding: every + // continuation stays consistent, only that link's loss rule is wrong. + const auto before_shift = s.state(); + detail::thread_lossy_counters().shift = true; + what.clear(); + try { + (void)apply_actions(*s.ledger, Actions {Replace {x, 1}, Replace {y, 1}}, SIMULTANEOUS); + } catch (const std::runtime_error& e) { + what = e.what(); + } + detail::thread_lossy_counters().shift = false; + EXPECT_EQ(what, "lossy forwarding fixed-point verification failed"); + expect_unchanged(s, before_shift, "the failed check of a moved unit"); + EXPECT_EQ(delivered(run(s, {Replace {x, 1}, Replace {y, 1}}, SIMULTANEOUS)), (Amounts {1, 0})); +#endif +} + +// Link sums beyond 2^63 and 2^64; disjoint maximal participants. +TEST(ApplyActions, MaximalOffersShareALink) { + const Amount w62 = kL62 - 1; + for (const auto& [n, cap, want] : std::vector> { + {2, 10, {5, 5}}, {3, 10, {4, 3, 3}}, {5, 10, {2, 2, 2, 2, 2}}, {5, 11, {3, 2, 2, 2, 2}}}) { + World w(graph(2, {{0, 1, cap, 1}})); + const auto prog = tunnel(*w.g, 0, 1, {0}); + Actions list; + for (int i = 0; i < n; ++i) list.push_back(Replace {w.pin(prog), w62}); + const auto r = run(w, list, SIMULTANEOUS); + EXPECT_EQ(delivered(r), want) << n << " demands"; + for (int i = 0; i < n; ++i) EXPECT_EQ(r[static_cast(i)].call_edge_drops, (Pairs {{0, w62 - want[static_cast(i)]}})); + } +} + +TEST(ApplyActions, DisjointMaximalParticipants) { + const Amount w62 = (kL62 - 1) / 5; // the graph's capacity sum stays below 2^62 + std::vector rows; + for (int i = 0; i < 5; ++i) rows.push_back({0, 1, w62, 1}); + World w(graph(2, rows)); + Actions list; + for (EdgeId e = 0; e < 5; ++e) list.push_back(Replace {w.pin(tunnel(*w.g, 0, 1, {e})), w62}); + const auto r = run(w, list, SIMULTANEOUS); + EXPECT_EQ(delivered(r), Amounts(5, w62)); + EXPECT_EQ(w.ledger->carried(), Amounts(5, w62)); +} + +// An imported T1 program beside its live owner, unequal baselines; the orphan variant. +TEST(ApplyActions, ImportedTunnelsBookNoHolds) { + { + World w(graph(2, {{0, 1, 10, 1}}), {8}, {6}); + auto& t = w.add({0}, {1}, t1()); + (void)t.replace(0, std::optional {6}); + auto& p = w.pin(t.program()); + const auto r = run(w, {Forward {t, 8}, Replace {p, 8}}, SIMULTANEOUS, OutputOptions {.edge_reservations = true}); + EXPECT_EQ(delivered(r), (Amounts {4, 4})); + EXPECT_EQ(w.ledger->carried(), (Amounts {8})); + EXPECT_EQ(w.ledger->reserved(), (Amounts {6})); + EXPECT_EQ(*r[1].edge_reservations, (Amounts {0})); + EXPECT_FALSE(r[1].plan.has_value()); + ASSERT_TRUE(r[0].plan.has_value()); + } + { + World w(graph(2, {{0, 1, 10, 1}}), {8}, {6}); + w.add({0}, {1}, t1()).replace(0, std::optional {6}); + const auto prog = w.p.back()->program(); + w.p.pop_back(); + auto& p = w.pin(prog); + EXPECT_EQ(run(w, {Replace {p, 8}}, SIMULTANEOUS)[0].call_delivered, 8); + EXPECT_EQ(w.ledger->reserved(), (Amounts {6})); + } +} + +// A zero Forward keeps holds, plan and program, retires its old id. +TEST(ApplyActions, ZeroForward) { + World w(graph(2, {{0, 1, 10, 1}})); + auto& t = w.add({0}, {1}, t1()); + auto& e = w.add({0}, {1}, ecmp()); + (void)t.replace(6, std::optional {6}); + const auto old = t.records()[0].flow_id; + const auto prog = t.program(); + const auto r = run(w, {Forward {t, 0}, Replace {e, 10}}, SIMULTANEOUS); + EXPECT_EQ(r[0].termination, Termination::Complete); + EXPECT_EQ(r[0].call_delivered, 0); + EXPECT_EQ(r[0].delivery_delta, -6); + EXPECT_EQ(lo(r[0].by_tunnel[0].assigned), 0); + EXPECT_EQ(t.program(), prog); + ASSERT_EQ(t.records().size(), 1U); + EXPECT_NE(t.records()[0].flow_id, old); + EXPECT_EQ(t.records()[0].edge_reservations, (Pairs {{0, 6}})); + EXPECT_EQ(r[1].call_delivered, 10); + const auto f = t.forward(8); + EXPECT_EQ(f.call_delivered, 0); + EXPECT_EQ(f.call_edge_drops, (Pairs {{0, 8}})); + EXPECT_EQ(w.ledger->reserved(), (Amounts {6})); +} + +// Black-holed sources and nodes; a repair mask first. +TEST(ApplyActions, BlackHoledSourcesAndNodes) { + World w(graph(5, {{0, 2, 10, 1}, {1, 2, 10, 1}, {3, 4, 10, 1}})); + auto& a = w.add({0, 1}, {2}, ecmp()); + (void)a.replace(2); + auto& z = w.pin(tunnel(*w.g, 3, 4, {2})); + const auto bh = no_nodes(*w.g, {0}); + const auto r = run(w, {Forward {a, 4, bh.get()}, Replace {z, 3}}, SIMULTANEOUS); + EXPECT_EQ(r[0].call_source_drops, 2); + EXPECT_TRUE(r[0].call_edge_drops.empty()); + EXPECT_EQ(r[0].call_delivered, 2); + EXPECT_EQ(r[1].call_delivered, 3); + // A Pinned over A's program under a repair mask excluding node 0: source 1 takes the whole offer. + auto& q = w.pin(a.program(), LOSSY, nullptr, no_nodes(*w.g, {0})); + const auto rq = run(w, {Replace {q, 4}, Replace {z, 3}}, SIMULTANEOUS); + EXPECT_EQ(rq[0].call_delivered, 4); + EXPECT_EQ(rq[0].call_source_drops, 0); + // An internal black-holed node. + World w2(graph(3, {{0, 1, 10, 1}, {1, 2, 10, 1}})); + auto& n = w2.pin(tunnel(*w2.g, 0, 2, {0, 1}), LOSSY, no_nodes(*w2.g, {1})); + const auto rn = run(w2, {Replace {n, 6}}, SIMULTANEOUS); + EXPECT_EQ(rn[0].by_tunnel[0].status, TunnelStatus::Blackholed); + EXPECT_EQ(rn[0].call_edge_drops, (Pairs {{0, 6}})); +} + +// Zero service against zero weight, beside a positive participant. +TEST(ApplyActions, ZeroServiceAndZeroWeight) { + World w(graph(4, {{0, 1, 0, 1}, {2, 3, 10, 1}})); + auto& z = w.add({0}, {1}, ecmp()); + auto& pos = w.pin(tunnel(*w.g, 2, 3, {1})); + const auto r = run(w, {Replace {z, 2}, Replace {pos, 4}}, SIMULTANEOUS); + EXPECT_EQ(r[0].termination, Termination::Complete); + EXPECT_EQ(r[0].call_edge_drops, (Pairs {{0, 2}})); + EXPECT_EQ(r[1].call_delivered, 4); + World w2(graph(4, {{0, 1, 10, 1}, {2, 3, 10, 1}})); + auto& zw = w2.pin(tunnel(*w2.g, 0, 1, {0}, 0)); + auto& pos2 = w2.pin(tunnel(*w2.g, 2, 3, {1})); + const auto r2 = run(w2, {Replace {zw, 2}, Replace {pos2, 4}}, SIMULTANEOUS); + EXPECT_EQ(r2[0].termination, Termination::NoActiveWeight); + EXPECT_EQ(r2[0].call_source_drops, 2); + EXPECT_EQ(zw.records().size(), 1U); + EXPECT_EQ(r2[1].call_delivered, 4); +} + +// Every root of a pooled demand is an injection (alone, and beside a disjoint participant), +// equal to the scalar replace. +TEST(ApplyActions, PooledRootsBlockSerialPairs) { + auto make = [] { return graph(6, {{0, 1, 2, 1}, {1, 2, 2, 1}, {2, 3, 2, 1}, {4, 5, 10, 1}}); }; + World scalar(make()); + const auto want = scalar.add({0, 1, 2}, {3}, ecmp()).replace(6); + for (bool beside : {false, true}) { + World w(make()); + auto& a = w.add({0, 1, 2}, {3}, ecmp()); + auto& z = w.pin(tunnel(*w.g, 4, 5, {3})); + const auto r = run(w, beside ? Actions {Replace {a, 6}, Replace {z, 1}} : Actions {Replace {a, 6}}, SIMULTANEOUS); + expect_same(r[0], want, beside ? "beside" : "alone"); + EXPECT_EQ(r[0].call_delivered, 2); + EXPECT_EQ(r[0].by_source[0].delivered, 1); + EXPECT_EQ(r[0].by_source[1].delivered, 0); + EXPECT_EQ(r[0].by_source[2].delivered, 1); + } +} + +// A pooled cycle keeps per-source state (solved at round 3). +TEST(ApplyActions, PooledCycleKeepsSourceState) { + World w(shared(make_graph(9, {{0, 1, 1, 1}, {2, 3, 1, 1}, {4, 0, 100, 1}, {1, 2, 100, 1}, {5, 2, 100, 1}, {3, 6, 100, 1}, + {7, 2, 100, 1}, {3, 0, 100, 1}, {1, 8, 100, 1}}))); + const auto id = id_of_input(*w.g); + auto& a = w.add({4, 5}, {6}, ecmp()); + auto& b = w.pin(tunnel(*w.g, 7, 8, {id[6], id[1], id[7], id[0], id[8]})); + const auto r = run(w, {Replace {a, 2}, Replace {b, 1}}, SIMULTANEOUS); +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(detail::thread_lossy_counters().groups, 1); + EXPECT_EQ(detail::thread_lossy_counters().rounds, 3); +#endif + EXPECT_EQ(r[0].call_delivered, 1); + EXPECT_EQ(r[0].by_source[0].delivered, 1); + EXPECT_EQ(r[0].by_source[1].delivered, 0); + EXPECT_EQ(r[1].call_delivered, 0); + EXPECT_EQ(r[1].call_edge_drops, (Pairs {{id[1], 1}})); +} + +// Dark arrivals add no barrier: the round-limit example's graph plus 16 -> 6, its three demands +// (heads 12, 13, 14, offers 13, 11, 10; black holes {5}, used by head 12 only) and a fourth demand D +// from 16 to 1 (offer 1) whose black holes {16, 11} drop its offer on its first link. The cyclic group +// keeps its four physical links (0, 2, 7, 11): the round-limit error after 256 rounds, nothing +// published (a dark copy of D's link 11 as a fifth barrier would allow 320). +TEST(ApplyActions, DarkArrivalsAddNoBarrier) { + World w(shared(make_graph(17, {{0, 1, 12, 1}, {1, 6, 1000, 1}, {2, 3, 9, 1}, {3, 0, 1000, 1}, {3, 10, 1000, 1}, + {4, 5, 7, 1}, {5, 6, 1000, 1}, {6, 7, 13, 1}, {7, 2, 1000, 1}, {7, 10, 1000, 1}, + {8, 9, 1, 1}, {10, 11, 10, 1}, {11, 2, 1000, 1}, {12, 4, 1000, 1}, {13, 6, 1000, 1}, + {14, 0, 1000, 1}, {16, 6, 1000, 1}}))); + const auto id = id_of_input(*w.g); + auto ids = [&](std::vector in) { + std::vector out; + for (int i : in) out.push_back(id[static_cast(i)]); + return out; + }; + auto& a = w.pin(tunnel(*w.g, 12, 11, ids({13, 5, 6, 7, 8, 2, 4, 11})), LOSSY, no_edges(*w.g, ids({5}))); + auto& b = w.pin(tunnel(*w.g, 13, 1, ids({14, 7, 9, 11, 12, 2, 3, 0}))); + auto& c = w.pin(tunnel(*w.g, 14, 7, ids({15, 0, 1, 7}))); + const Actions three {Replace {a, 13}, Replace {b, 11}, Replace {c, 10}}; + EXPECT_EQ(refused(w, three, SIMULTANEOUS), kRoundLimit); +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(detail::thread_lossy_counters().rounds, 256); +#endif + auto& d = w.pin(tunnel(*w.g, 16, 1, ids({16, 7, 9, 11, 12, 2, 3, 0})), LOSSY, no_edges(*w.g, ids({16, 11}))); + Actions four = three; + four.push_back(Replace {d, 1}); + EXPECT_EQ(refused(w, four, SIMULTANEOUS), kRoundLimit); +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(detail::thread_lossy_counters().groups, 1); + EXPECT_EQ(detail::thread_lossy_counters().rounds, 256); +#endif + // D alone: its offer dies on its first link. + const auto r = run(w, {Replace {d, 1}}, SIMULTANEOUS); + EXPECT_EQ(r[0].call_edge_drops, (Pairs {{id[16], 1}})); + EXPECT_EQ(r[0].by_tunnel[0].status, TunnelStatus::Blackholed); + // A dark arrival on a link that otherwise fits: E from 16 over a wide feeder to node 7, black-holed + // on the cycle's connector 7 -> 2 (1000 units, row 8), offers 1000. The connector carries only head + // 12's arrivals (at most 13): it stays no barrier, and the group fails after 256 rounds (counting + // E's 1000 in its no-drop load would make it a fifth barrier: 320). + World w2(shared(make_graph(17, {{0, 1, 12, 1}, {1, 6, 1000, 1}, {2, 3, 9, 1}, {3, 0, 1000, 1}, {3, 10, 1000, 1}, + {4, 5, 7, 1}, {5, 6, 1000, 1}, {6, 7, 13, 1}, {7, 2, 1000, 1}, {7, 10, 1000, 1}, + {8, 9, 1, 1}, {10, 11, 10, 1}, {11, 2, 1000, 1}, {12, 4, 1000, 1}, {13, 6, 1000, 1}, + {14, 0, 1000, 1}, {16, 7, 2000, 1}}))); + const auto id2 = id_of_input(*w2.g); + auto ids2 = [&](std::vector in) { + std::vector out; + for (int i : in) out.push_back(id2[static_cast(i)]); + return out; + }; + auto& a2 = w2.pin(tunnel(*w2.g, 12, 11, ids2({13, 5, 6, 7, 8, 2, 4, 11})), LOSSY, no_edges(*w2.g, ids2({5}))); + auto& b2 = w2.pin(tunnel(*w2.g, 13, 1, ids2({14, 7, 9, 11, 12, 2, 3, 0}))); + auto& c2 = w2.pin(tunnel(*w2.g, 14, 7, ids2({15, 0, 1, 7}))); + auto& e2 = w2.pin(tunnel(*w2.g, 16, 2, ids2({16, 8})), LOSSY, no_edges(*w2.g, ids2({8}))); + EXPECT_EQ(refused(w2, {Replace {a2, 13}, Replace {b2, 11}, Replace {c2, 10}, Replace {e2, 1000}}, SIMULTANEOUS), kRoundLimit); +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(detail::thread_lossy_counters().rounds, 256); +#endif +} + +// An entry whose share is 0 can carry nothing, so it makes no link wait and joins no group. Two +// step-3 cycles (CYC(1, 2) twice, 4 -> 5 and 16 -> 17, offers 1 and 2 each) bridged by two Pinned +// tunnels of offer 0 (4 -> 17 over the first cycle's X and the second's links, 16 -> 5 the other +// way): the period-2 error at round 3 with or without the bridges (with arcs through them the two +// groups merged and failed at the round limit). And a link X before a period-2 pair: A over X, L0, +// L1, B over L1, L0, offers 2; Z over L0 then X offers 0, as a Pinned tunnel or a ShortestPaths +// demand: the period-2 error at round 3 with or without Z. +TEST(ApplyActions, ZeroSharesAddNoArc) { + auto ids_of = [](const std::vector& id, std::vector in) { + std::vector out; + for (int i : in) out.push_back(id[static_cast(i)]); + return out; + }; + const std::vector bridge_rows {{0, 1, 1, 1}, {1, 2, 1000, 1}, {1, 5, 1000, 1}, {2, 3, 2, 1}, {3, 0, 1000, 1}, + {3, 5, 1000, 1}, {4, 0, 1000, 1}, {4, 2, 1000, 1}, {10, 11, 1, 1}, {11, 14, 1000, 1}, + {12, 13, 2, 1}, {13, 10, 1000, 1}, {13, 17, 1000, 1}, {14, 15, 1, 1}, {15, 12, 1000, 1}, + {15, 17, 1000, 1}, {16, 10, 1000, 1}, {16, 12, 1000, 1}, {1, 10, 1000, 1}, {11, 0, 1000, 1}}; + const std::vector, Amount>> bridged { + {4, 5, {6, 0, 1, 3, 5}, 1}, {4, 5, {7, 3, 4, 0, 2}, 2}, {16, 17, {16, 8, 9, 13, 14, 10, 12}, 1}, + {16, 17, {17, 10, 11, 8, 9, 13, 15}, 2}, {4, 17, {6, 0, 18, 8, 9, 13, 15}, 0}, {16, 5, {16, 8, 19, 0, 2}, 0}}; + for (std::size_t count : {std::size_t {4}, std::size_t {6}}) { + World w(shared(make_graph(18, bridge_rows))); + const auto id = id_of_input(*w.g); + Actions list; + for (std::size_t i = 0; i < count; ++i) { + const auto& [s, d, path, offer] = bridged[i]; + auto& p = w.pin(tunnel(*w.g, s, d, ids_of(id, path))); + (void)p.replace(1); + list.push_back(Replace {p, offer}); + } + EXPECT_EQ(refused(w, list, SIMULTANEOUS), kPeriodTwo) << count << " demands"; +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(detail::thread_lossy_counters().rounds, 3) << count << " demands"; +#endif + } + // sA 0, sB 1, sZ 2, n1..n6 3..8, dA 9, dB 10, dZ 11; rows X, L0, L1 first. + const std::vector rows {{3, 4, 1, 1}, {5, 6, 1, 1}, {7, 8, 2, 1}, {0, 3, 100, 1}, {4, 5, 100, 1}, + {6, 7, 100, 1}, {8, 9, 100, 1}, {1, 7, 100, 1}, {8, 5, 100, 1}, {6, 10, 100, 1}, + {2, 5, 100, 1}, {6, 3, 100, 1}, {4, 11, 100, 1}}; + for (int z : {0, 1, 2}) { // without Z, Z as a tunnel, Z as a ShortestPaths demand + World w(shared(make_graph(12, rows))); + const auto id = id_of_input(*w.g); + auto& a = w.pin(tunnel(*w.g, 0, 9, ids_of(id, {3, 0, 4, 1, 5, 2, 6}))); + auto& b = w.pin(tunnel(*w.g, 1, 10, ids_of(id, {7, 2, 8, 1, 9}))); + Actions list {Replace {a, 2}, Replace {b, 2}}; + if (z == 1) list.push_back(Replace {w.pin(tunnel(*w.g, 2, 11, ids_of(id, {10, 1, 11, 0, 12}))), 0}); + if (z == 2) list.push_back(Replace {w.add({2}, {11}, ecmp()), 0}); + EXPECT_EQ(refused(w, list, SIMULTANEOUS), kPeriodTwo) << "Z form " << z; +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(detail::thread_lossy_counters().rounds, 3) << "Z form " << z; +#endif + } + // A member that can carry nothing in a program that is not pooled: Z's program from sZ has a + // supplied DAG route (sZ's exit to dZ0 below its L0 branch, L0 then X) and a tunnel over that + // exit; offer 2 gives each entry 1 and the DAG route's unit takes the exit (round robin at sZ, + // the lower EdgeId first), so the L0 branch never carries anything: the period-2 error at round 3, + // as without Z. sA 0, sB 1, sZ 2, dZ0 3, n1..n6 4..9, dA 10, dB 11, dZ 12; rows X, L0, L1 first. + { + World w(shared(make_graph(13, {{4, 5, 1, 1}, {6, 7, 1, 1}, {8, 9, 2, 1}, {0, 4, 100, 1}, {5, 6, 100, 1}, + {7, 8, 100, 1}, {9, 10, 100, 1}, {1, 8, 100, 1}, {9, 6, 100, 1}, {7, 11, 100, 1}, + {2, 6, 100, 1}, {7, 4, 100, 1}, {5, 12, 100, 1}, {2, 3, 100, 1}}))); + const auto id = id_of_input(*w.g); + ASSERT_LT(id[13], id[10]); + auto& a = w.pin(tunnel(*w.g, 0, 10, ids_of(id, {3, 0, 4, 1, 5, 2, 6}))); + auto& b = w.pin(tunnel(*w.g, 1, 11, ids_of(id, {7, 2, 8, 1, 9}))); + const std::vector routes { + RouteDefinition {2, dag_of(*w.g, ids_of(id, {10, 1, 11, 0, 12, 13})), 1}, + RouteDefinition {2, std::make_shared(*w.g, std::vector> {{id[13]}}), 1}}; + auto& z = w.pin(ForwardingProgram::from_routes(*w.g, std::vector {2}, std::vector {3, 12}, routes)); + EXPECT_EQ(refused(w, {Replace {a, 2}, Replace {b, 2}, Replace {z, 2}}, SIMULTANEOUS), kPeriodTwo); +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(detail::thread_lossy_counters().rounds, 3); +#endif + } +} + +// Per-entry boundaries on the one residual. +TEST(ApplyActions, OutputsPerEntry) { + World w(graph(4, {{0, 2, 10, 1}, {1, 2, 1, 1}, {2, 3, 10, 1}})); + auto& a = w.pin(tunnel(*w.g, 0, 3, {0, 2})); + auto& b = w.pin(tunnel(*w.g, 1, 3, {1, 2})); + const auto r = run(w, {Replace {a, 5}, Replace {b, 1}}, SIMULTANEOUS, OutputOptions {.residual = true, .saturated_boundary_edges = true}); + EXPECT_EQ(*r[0].residual, (Amounts {5, 0, 4})); + EXPECT_EQ(*r[1].residual, (Amounts {5, 0, 4})); + EXPECT_EQ(*r[0].saturated_boundary_edges, (std::vector {})); + EXPECT_EQ(*r[1].saturated_boundary_edges, (std::vector {1})); +} + +// A controller program's captured weights inject in a list. +TEST(ApplyActions, CapturedWeightsInAList) { + auto g = graph(3, {{0, 2, 3, 1}, {1, 2, 1, 1}}); + World solver(g); + const auto prog = solver.add({0, 1}, {2}, global()).replace(4).program; + World w(g); + auto& a = w.pin(prog); + auto& b = w.pin(tunnel(*w.g, 0, 2, {0})); + const auto r = run(w, {Replace {a, 4}, Replace {b, 1}}, SIMULTANEOUS); + EXPECT_EQ(delivered(r), (Amounts {4, 0})); + EXPECT_EQ(r[1].call_edge_drops, (Pairs {{0, 1}})); +} + +// The record identities of the whole list are counted first. +TEST(ApplyActions, BatchRecordIdentities) { + World w(graph(2, {{0, 1, 10, 1}})); + auto& a = w.add({0}, {1}, ecmp()); + auto& b = w.add({0}, {1}, ecmp()); + auto& c = w.add({0}, {1}, ecmp()); + LedgerAccess::set_next_ids(*w.ledger, std::numeric_limits::max() - 2, 3); + const auto before = w.state(); + std::string what; + try { + (void)apply_actions(*w.ledger, Actions {Replace {a, 1}, Replace {b, 1}, Replace {c, 1}}, ORDERED); + } catch (const std::runtime_error& e) { + what = e.what(); + } + EXPECT_EQ(what, "record identity limit exceeded"); + expect_unchanged(w, before, "three new records, two ids left"); + EXPECT_EQ(run(w, {Replace {a, 1}, Replace {b, 1}}, SIMULTANEOUS).size(), 2U); + EXPECT_EQ(LedgerAccess::next_record_counter(*w.ledger), std::numeric_limits::max()); +} + + +// A list's joint network counts every participant: a Pinned program of two one-edge routes on +// PAR(6, 4) (2 entries, 2 occurrences, 4 routers; the 4-unit link drops: 1 barrier, 3 dependencies), +// a Pinned program of two 2-hop tunnels on a diamond (2 entries, 4 occurrences) and a pooled +// ShortestPaths demand of sources 6 and 7 over 6 -> 8, 7 -> 8, 8 -> 9 (2 entries; each source reaches +// two members: 4 occurrences; 4 routers, counted once; 3 dependencies): 6 entries, 10 occurrences, +// 8 routers, 9 events, 6 dependencies. With one limit lowered to its count less one the list is +// refused with the joint count, nothing changed (each participant alone stays within); at the count +// it runs; with every limit at 1 the entries come first. An event or dependency refusal comes before +// the event structures are sized (the hooks' counter reads 0). +TEST(ApplyActions, ForwardingSizesCountEveryParticipant) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + using detail::ForwardingCounter; + struct Restore { + ~Restore() { detail::thread_forwarding_limits() = {}; } + } restore; + World w(graph(10, {{0, 1, 6, 1}, {0, 1, 4, 1}, {2, 3, 100, 1}, {2, 4, 100, 1}, {3, 5, 100, 1}, {4, 5, 100, 1}, {6, 8, 100, 1}, + {7, 8, 100, 1}, {8, 9, 100, 1}})); + const std::vector dags {RouteDefinition {0, dag_of(*w.g, {0}), 1}, RouteDefinition {0, dag_of(*w.g, {1}), 1}}; + auto& a = w.pin(ForwardingProgram::from_routes(*w.g, std::vector {0}, std::vector {1}, dags)); + auto& b = w.pin(tunnels(*w.g, {2}, {5}, {{2, {2, 4}, 1}, {2, {3, 5}, 1}})); + auto& c = w.add({6, 7}, {9}, ecmp()); + const Actions list {Replace {a, 12}, Replace {b, 2}, Replace {c, 2}}; + struct Count { + ForwardingCounter counter; + const char* name; + std::int64_t n; + }; + for (const auto& k : std::vector {{ForwardingCounter::Entry, "entry", 6}, {ForwardingCounter::Occurrence, "occurrence", 10}, + {ForwardingCounter::Router, "router", 8}, {ForwardingCounter::Event, "event", 9}, + {ForwardingCounter::Dependency, "dependency", 6}}) { + auto& limits = detail::thread_forwarding_limits(); + limits = {}; + limits[static_cast(k.counter)] = k.n - 1; + EXPECT_EQ(refused(w, list, SIMULTANEOUS), std::string("forwarding ") + k.name + " limit exceeded: " + std::to_string(k.n) + " > " + + std::to_string(k.n - 1)); + if (k.counter == ForwardingCounter::Event || k.counter == ForwardingCounter::Dependency) { + EXPECT_EQ(detail::thread_lossy_counters().event_structures, 0) << k.name; + } + // Each participant alone stays within. + for (const auto& one : list) EXPECT_NO_THROW((void)apply_actions(*w.ledger, Actions {one}, SIMULTANEOUS)) << k.name; + limits[static_cast(k.counter)] = k.n; + EXPECT_NO_THROW((void)run(w, list, SIMULTANEOUS)) << k.name; + EXPECT_EQ(detail::thread_lossy_counters().event_structures, 1) << k.name; + } + detail::thread_forwarding_limits() = {1, 1, 1, 1, 1}; + EXPECT_EQ(refused(w, list, SIMULTANEOUS), "forwarding entry limit exceeded: 6 > 1"); +#else + GTEST_SKIP() << "a lowered limit needs the private hooks"; +#endif +} + +// The timing rows' ring: routers 0..63, ring links i -> i + 1 of 3 units, heads 64..127 with +// wide feeders, wide exits to 128; tunnel i over ring links i and i + 1. Every link carries two +// tunnels of 3: 64 barriers in one cyclic group. As one 64-head program (replace(192): 3 per head) +// and as 64 one-tunnel policies in one SIMULTANEOUS list: both settle at round 6, every head +// delivering 1, every link carrying 3. +TEST(ApplyActions, RingSettlesAtRoundSix) { + constexpr int n = 64; + const Amount wide = Amount {1} << 40; + std::vector rows; + for (int i = 0; i < n; ++i) rows.push_back({i, (i + 1) % n, 3, 1}); + for (int i = 0; i < n; ++i) rows.push_back({i, 2 * n, wide, 1}); + for (int i = 0; i < n; ++i) rows.push_back({n + i, i, wide, 1}); + const auto g = shared(make_graph(2 * n + 1, rows)); + const auto id = id_of_input(*g); + auto tunnel_of = [&](int i) { + return std::tuple, Amount> { + n + i, std::vector {id[static_cast(2 * n + i)], id[static_cast(i)], id[static_cast((i + 1) % n)], + id[static_cast(n + (i + 2) % n)]}, + 1}; + }; + std::vector heads; + std::vector, Amount>> all; + for (int i = 0; i < n; ++i) heads.push_back(n + i), all.push_back(tunnel_of(i)); + World one(g); + auto& program = one.pin(tunnels(*g, heads, {2 * n}, all)); + const auto r = program.replace(192); +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(detail::thread_lossy_counters().groups, 1); + EXPECT_EQ(detail::thread_lossy_counters().rounds, 6); +#endif + Amounts per_head; + for (const auto& t : r.by_tunnel) per_head.push_back(t.delivered); + EXPECT_EQ(per_head, Amounts(n, 1)); + World many(g); + Actions list; + for (int i = 0; i < n; ++i) list.push_back(Replace {many.pin(tunnels(*g, {n + i}, {2 * n}, {tunnel_of(i)})), 3}); + const auto res = run(many, list, SIMULTANEOUS); +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(detail::thread_lossy_counters().groups, 1); + EXPECT_EQ(detail::thread_lossy_counters().rounds, 6); +#endif + EXPECT_EQ(delivered(res), Amounts(n, 1)); + EXPECT_EQ(many.ledger->carried(), one.ledger->carried()); + for (int i = 0; i < n; ++i) EXPECT_EQ(one.ledger->carried()[static_cast(id[static_cast(i)])], 3); +} + +// ---------------------------------------------------------------- generators + +// A world built from a seed (built twice, identically): a random DAG on nodes 0..5 (sources 0 and 1, +// destination 5; nonuniform costs, capacities 0 to 8) plus a separate link 6 -> 7, and one policy of +// each kind: ShortestPaths EQUAL LY (two sources), EQUAL LL, WEIGHTED LY with capacity, explicit and +// residual-snapshot weights, EQUAL LY under a mask; OPTIMIZED LL; CentralizedTE LL; T1 LY (two tunnels +// per head); T2 LY; Pinned LY over tunnels, over split routes, over from_dag under a mask, over a +// controller program with black holes; Pinned LY on the separate link. Then scalar calls, an orphan +// and an outside owner. Empty when a construction fails (both copies fail alike). +struct Generated { + std::unique_ptr w; + std::vector lossy_replace; // policies a SIMULTANEOUS Replace accepts + std::vector forwardable; // LOSSY computing policies (Forward after an install) + std::size_t separate {0}; // the Pinned policy on 6 -> 7 +}; + +// `graph`: the first copy's graph, shared by the second (records compare their routes by graph). +Generated generate(std::uint32_t seed, std::shared_ptr graph = nullptr) { + std::mt19937 rng(seed); + std::vector rows; + for (NodeId u = 0; u < 6; ++u) { + for (NodeId v = u + 1; v < 6; ++v) { + if (rng() % 3 != 0) rows.push_back({u, v, static_cast(rng() % 9), 1 + static_cast(rng() % 3)}); + } + } + rows.push_back({6, 7, 10, 1}); + Generated out; + try { + out.w = std::make_unique(graph ? std::move(graph) : shared(make_graph(8, rows))); + World& w = *out.w; + const Graph& g = *w.g; + const auto E = static_cast(g.num_edges()); + const EdgeId sep = g.num_edges() - 1; // 6 -> 7: the largest tail + auto random_edge = [&] { return static_cast(rng() % (E - 1)); }; + // A random path from h to 5 (empty when none). + auto path_from = [&](NodeId h) { + std::vector path; + NodeId u = h; + while (u != 5) { + std::vector outs; + for (EdgeId e = 0; e < sep; ++e) { + if (g.edge_sources()[static_cast(e)] == u) outs.push_back(e); + } + if (outs.empty()) return std::vector {}; + const EdgeId e = outs[rng() % outs.size()]; + path.push_back(e); + u = g.edge_destinations()[static_cast(e)]; + } + return path; + }; + const std::vector S {0, 1}; + const std::vector D {5}; + w.add(S, D, ecmp()); + out.lossy_replace.push_back(0); + out.forwardable.push_back(0); + w.add({0}, D, ecmp(LOSSLESS)); + { + ShortestPaths cap = shortest_paths(RouteAllocation::Weighted); + w.add(S, D, FlowPolicyConfig {.routing = cap, .admission = LOSSY}); + out.lossy_replace.push_back(2); + out.forwardable.push_back(2); + ShortestPaths ex = shortest_paths(RouteAllocation::Weighted); + ex.weight_basis = WeightBasis::Explicit; + std::vector weights(E); + for (auto& x : weights) x = static_cast(rng() % 4); + ex.edge_weights = std::make_shared>(weights); + w.add(S, D, FlowPolicyConfig {.routing = ex, .admission = LOSSY}); + out.lossy_replace.push_back(3); + out.forwardable.push_back(3); + ShortestPaths snap = shortest_paths(RouteAllocation::Weighted); + snap.weight_basis = WeightBasis::ResidualSnapshot; + w.add({0}, D, FlowPolicyConfig {.routing = snap, .admission = LOSSY}); + out.lossy_replace.push_back(4); + out.forwardable.push_back(4); + } + w.add(S, D, ecmp(), no_edges(g, {random_edge()})); + out.lossy_replace.push_back(5); + out.forwardable.push_back(5); + w.add(S, D, FlowPolicyConfig {.routing = shortest_paths(RouteAllocation::Optimized), .admission = LOSSLESS}); + w.add(S, D, global()); + w.add(S, D, FlowPolicyConfig {.routing = DistributedTE {TunnelCount {2}}, .admission = LOSSY}); + out.forwardable.push_back(8); + w.add(S, D, t2()); + out.forwardable.push_back(9); + // Pinned programs. + std::vector, Amount>> specs; + for (NodeId h : S) { + for (int k = 0; k < 2; ++k) { + auto path = path_from(h); + if (!path.empty()) specs.emplace_back(h, path, 1 + static_cast(rng() % 3)); + } + } + if (specs.empty()) return {}; + std::vector heads; + for (const auto& x : specs) heads.push_back(std::get<0>(x)); + std::sort(heads.begin(), heads.end()); + heads.erase(std::unique(heads.begin(), heads.end()), heads.end()); + w.pin(tunnels(g, heads, D, specs)); + out.lossy_replace.push_back(10); + std::vector split; + for (NodeId h : heads) split.push_back(RouteDefinition {h, all_edges(g), 1 + static_cast(rng() % 2)}); + w.pin(ForwardingProgram::from_routes(g, heads, D, split)); + out.lossy_replace.push_back(11); + w.pin(ForwardingProgram::from_dag(g, S, D, all_edges(g), RouteOptions {}), LOSSY, nullptr, no_edges(g, {random_edge()})); + out.lossy_replace.push_back(12); + { + World solver(w.g); + const auto prog = solver.add(S, D, global()).replace(6).program; + w.pin(prog, LOSSY, no_edges(g, {random_edge()})); + out.lossy_replace.push_back(13); + } + w.pin(tunnel(g, 6, 7, {sep})); + out.separate = 14; + // State before the list: scalar calls, an orphan, an outside owner. + (void)w.p[0]->place(static_cast(rng() % 6)); + (void)w.p[2]->replace(static_cast(rng() % 6)); + (void)w.p[6]->place(static_cast(rng() % 6)); + (void)w.p[8]->replace(2, std::optional {2}); + (void)w.p[9]->replace(2); + (void)w.p[10]->replace(static_cast(rng() % 6)); + w.add(S, D, ecmp()).place(1 + static_cast(rng() % 3)); // the outside owner (index 15) + auto& orphan = w.add({0}, D, ecmp()); + (void)orphan.place(1 + static_cast(rng() % 3)); + w.p.pop_back(); + } catch (const std::invalid_argument&) { + return {}; + } + return out; +} + +// One random valid ORDERED action on policy i of a generated world (a fresh draw of the generator). +Action ordered_action(std::mt19937& rng, World& w, std::size_t i) { + FlowPolicy& p = *w.p[i]; + const auto& cfg = p.config(); + const bool tunnel_model = std::holds_alternative(cfg.routing) || + (std::holds_alternative(cfg.routing) && std::get(cfg.routing).tunnel_count); + const bool pinned_model = std::holds_alternative(cfg.routing); + const bool lossy = cfg.admission == LOSSY; + const Amount v = static_cast(rng() % 13); + const auto kind = rng() % 3; + if (kind == 2 && !pinned_model && p.program() != nullptr) { + const Eligibility* bh = nullptr; + if (rng() % 3 == 0) { + w.keep.push_back(no_edges(*w.g, {static_cast(rng() % (w.g->num_edges() - 1))})); + bh = w.keep.back().get(); + } + return Forward {p, (!lossy && rng() % 4 == 0) ? INF : std::optional {v}, bh}; + } + if (kind == 0 && !tunnel_model && !detail::PolicyAccess::engine(p).epoch.infinite) return Place {p, v}; + if (std::holds_alternative(cfg.routing)) return Replace {p, v, std::optional {v + static_cast(rng() % 3)}}; + return Replace {p, (!lossy && rng() % 4 == 0) ? INF : std::optional {v}}; +} + +// The same action as a scalar call. +PlacementResult scalar(const Action& a, const OutputOptions& o) { + return std::visit( + [&](const auto& x) -> PlacementResult { + using T = std::decay_t; + if constexpr (std::is_same_v) return x.policy.get().place(x.offer, o); + if constexpr (std::is_same_v) return x.policy.get().replace(x.offer, x.design_demand, o); + if constexpr (std::is_same_v) return x.policy.get().forward(x.offer, x.black_holes, o); + }, + a); +} + +// The action `a` of world `from` aimed at the same policy (and black holes) of world `to`. +Action retarget(const Action& a, World& from, World& to) { + auto index = [&](const FlowPolicy& p) { + for (std::size_t i = 0; i < from.p.size(); ++i) { + if (from.p[i].get() == &p) return i; + } + return from.p.size(); + }; + return std::visit( + [&](const auto& x) -> Action { + using T = std::decay_t; + T y = x; + y.policy = *to.p[index(x.policy.get())]; + if constexpr (std::is_same_v) { + if (x.black_holes != nullptr) { + to.keep.push_back(std::make_shared(*x.black_holes)); + y.black_holes = to.keep.back().get(); + } + } + return y; + }, + a); +} + +void expect_same_worlds(const World& a, const World& b, const std::string& where) { + expect_same(ledger_state(*a.ledger), ledger_state(*b.ledger), where); + ASSERT_EQ(a.p.size(), b.p.size()) << where; + for (std::size_t i = 0; i < a.p.size(); ++i) expect_same(epoch(*a.p[i]), epoch(*b.p[i]), where + ", policy " + std::to_string(i)); +} + +// An ORDERED list gives exactly the results, records (FlowIds included), ledger and epochs of +// the same scalar calls in the same order on an identical world. +TEST(ApplyActions, OrderedEqualsScalarCalls) { + int checked = 0; + int forwards = 0; + int holds = 0; + for (std::uint32_t seed = 1; seed <= 200; ++seed) { + auto a = generate(seed); + if (!a.w) continue; + auto b = generate(seed, a.w->g); + std::mt19937 rng(seed * 7919U); + std::vector order(a.w->p.size()); + for (std::size_t i = 0; i < order.size(); ++i) order[i] = i; + std::shuffle(order.begin(), order.end(), rng); + order.resize(2 + rng() % 6); + Actions list; + for (auto i : order) list.push_back(ordered_action(rng, *a.w, i)); + const std::string where = "seed " + std::to_string(seed); + std::vector got; + std::string error; + try { + got = apply_actions(*a.w->ledger, list, ORDERED, kAll); + } catch (const std::invalid_argument& e) { + error = e.what(); + } + std::string scalar_error; + std::vector want; + for (const auto& x : list) { + try { + want.push_back(scalar(retarget(x, *a.w, *b.w), kAll)); + } catch (const std::invalid_argument& e) { + scalar_error = e.what(); + break; + } + } + ASSERT_EQ(error, scalar_error) << where; + if (!error.empty()) continue; + ASSERT_EQ(got.size(), want.size()) << where; + for (std::size_t k = 0; k < got.size(); ++k) expect_same(got[k], want[k], where + ", action " + std::to_string(k)); + expect_same_worlds(*a.w, *b.w, where); + for (const auto& x : list) forwards += std::holds_alternative(x) ? 1 : 0; + holds += a.w->ledger->reserved() != Amounts(a.w->ledger->reserved().size(), 0) ? 1 : 0; + ++checked; + if (::testing::Test::HasFailure()) return; + } + RecordProperty("checked", checked); + EXPECT_GT(checked, 150); + EXPECT_GT(forwards, 80); + EXPECT_GT(holds, 30); +} + +// One SIMULTANEOUS participant (and a second one on the separate link) equals its scalar +// replace or forward on an identical world: results, records, ledger and epochs. +TEST(ApplyActions, OneParticipantEqualsTheScalarCall) { + int checked = 0; + int pooled = 0; + int black = 0; + for (std::uint32_t seed = 1; seed <= 300; ++seed) { + auto a = generate(seed); + if (!a.w) continue; + auto b = generate(seed, a.w->g); + std::mt19937 rng(seed * 104729U); + const auto lossy_forward = a.forwardable; + const bool forward = rng() % 2 == 0; + const std::size_t i = forward ? lossy_forward[rng() % lossy_forward.size()] : a.lossy_replace[rng() % a.lossy_replace.size()]; + const Amount v = static_cast(rng() % 13); + Actions list; + FlowPolicy& p = *a.w->p[i]; + if (forward) { + if (p.program() == nullptr) (void)p.replace(1), (void)b.w->p[i]->replace(1); + const Eligibility* bh = nullptr; + if (rng() % 2 == 0) { + a.w->keep.push_back(no_edges(*a.w->g, {static_cast(rng() % (a.w->g->num_edges() - 1))})); + bh = a.w->keep.back().get(); + ++black; + } + list.push_back(Forward {p, v, bh}); + } else { + list.push_back(Replace {p, v}); + pooled += i <= 5 ? 1 : 0; + } + const bool pair = rng() % 2 == 0; + if (pair) list.push_back(Replace {*a.w->p[a.separate], static_cast(rng() % 13)}); + const std::string where = "seed " + std::to_string(seed) + " policy " + std::to_string(i); + const auto got = apply_actions(*a.w->ledger, list, SIMULTANEOUS, kAll); + std::vector want; + for (const auto& x : list) want.push_back(scalar(retarget(x, *a.w, *b.w), kAll)); + // The scalar calls' outputs read the ledger after each; the list's after both: with the pair, + // each entry's residual is the one after the list (the other participant is disjoint). + if (pair) { + want[0].residual = want[1].residual; + if (want[0].saturated_boundary_edges) { + const auto& pe = detail::PolicyAccess::engine(*b.w->p[i]); + want[0].saturated_boundary_edges = detail::saturated_boundary_edges_of(*b.w->g, *want[1].residual, pe.sources, pe.eligibility); + } + } + for (std::size_t k = 0; k < got.size(); ++k) expect_same(got[k], want[k], where + ", entry " + std::to_string(k)); + expect_same_worlds(*a.w, *b.w, where); + ++checked; + if (::testing::Test::HasFailure()) return; + } + RecordProperty("checked", checked); + EXPECT_GT(checked, 200); + EXPECT_GT(pooled, 60); + EXPECT_GT(black, 40); +} + +} // namespace diff --git a/tests/cpp/contract_examples_tests.cpp b/tests/cpp/contract_examples_tests.cpp index 80652b9..023d2ef 100644 --- a/tests/cpp/contract_examples_tests.cpp +++ b/tests/cpp/contract_examples_tests.cpp @@ -12,12 +12,14 @@ #include #include #include +#include #include #include #include #include #include "netgraph/core/detail/forwarding.hpp" +#include "netgraph/core/detail/policy_engine.hpp" #include "netgraph/core/detail/route_kernels.hpp" #include "netgraph/core/evaluators.hpp" #include "netgraph/core/flow_ledger.hpp" @@ -2277,3 +2279,525 @@ TEST(ContractExamples, STRETCH_numpy) { EXPECT_EQ(reduced(CostStretch(2)), "2/1"); EXPECT_TRUE(CostStretch(6, 5) == CostStretch(6, 5)); } + +// ================================================================ several demands at once (apply_actions) + +namespace { + +// The list form of the loss examples: each route is its own demand, a Pinned LOSSY policy over one +// tunnel (created in route order), all in one SIMULTANEOUS list. Each abstract link e gets its own +// two nodes; each route runs from its own head through its links to one destination, consecutive +// links joined by a link that never limits anything, except where every occurrence of e continues on +// f and every occurrence of f comes from e: there e's head is f's tail (no join), so the examples' +// serial pairs stay pairs. `dark[i]`: the abstract links route i's demand black-holes. +struct ListOut { + std::string error; + std::int64_t rounds {-1}; // hooks only + Routes arrivals; + Routes carried; + Routes edge_drops; + Amounts delivered; + Amounts edge_flows; + Texts status; +}; +ListOut list_lossy(const Amounts& offers, const Routes& routes, const Amounts& cap, const std::vector& dark = {}) { + const auto L = static_cast(cap.size()); + // Per link its successors and predecessors over every occurrence (-1: an end). + std::vector> next(cap.size()); + std::vector> prev(cap.size()); + for (const auto& r : routes) { + for (std::size_t j = 0; j < r.size(); ++j) { + next[static_cast(r[j])].insert(j + 1 < r.size() ? r[j + 1] : -1); + prev[static_cast(r[j])].insert(j > 0 ? r[j - 1] : -1); + } + } + auto fused = [&](std::int64_t e, std::int64_t f) { + return next[static_cast(e)] == std::set {f} && prev[static_cast(f)] == std::set {e}; + }; + // Nodes: heads 0..n-1, the destination n, then per link a tail and a head (a fused head is the + // next link's tail). + const auto n = static_cast(routes.size()); + const NodeId dest = n; + std::vector tail(cap.size()); + std::vector head(cap.size()); + NodeId next_node = n + 1; + for (std::int64_t e = 0; e < L; ++e) tail[static_cast(e)] = next_node++; + for (std::int64_t e = 0; e < L; ++e) { + const auto& s = next[static_cast(e)]; + head[static_cast(e)] = s.size() == 1 && *s.begin() >= 0 && fused(e, *s.begin()) ? tail[static_cast(*s.begin())] : next_node++; + } + std::vector rows; + for (std::int64_t e = 0; e < L; ++e) rows.push_back({tail[static_cast(e)], head[static_cast(e)], cap[static_cast(e)], 1}); + std::vector> rows_of(routes.size()); + for (std::size_t i = 0; i < routes.size(); ++i) { + const auto& r = routes[i]; + rows_of[i].push_back(rows.size()); + rows.push_back({static_cast(i), tail[static_cast(r.front())], kBig, 1}); + for (std::size_t j = 0; j < r.size(); ++j) { + rows_of[i].push_back(static_cast(r[j])); + if (j + 1 < r.size() && !fused(r[j], r[j + 1])) { + rows_of[i].push_back(rows.size()); + rows.push_back({head[static_cast(r[j])], tail[static_cast(r[j + 1])], kBig, 1}); + } + } + rows_of[i].push_back(rows.size()); + rows.push_back({head[static_cast(r.back())], dest, kBig, 1}); + } + const Net net(rows, next_node); + auto ledger = std::make_shared(net.g); + std::vector> black; + std::vector> policies; + std::vector list; + for (std::size_t i = 0; i < routes.size(); ++i) { + std::vector> hops; + for (auto row : rows_of[i]) hops.push_back({net.id[row]}); + const NodeId s[1] = {static_cast(i)}; + const NodeId t[1] = {dest}; + const std::vector defs {RouteDefinition {static_cast(i), std::make_shared(*net.g, hops), 1}}; + const auto prog = ForwardingProgram::from_routes(*net.g, s, t, defs); + black.push_back(i < dark.size() ? net.mask({}, dark[i]) : nullptr); + policies.push_back(std::make_unique(*ledger, std::vector {static_cast(i)}, std::vector {dest}, + FlowPolicyConfig {.routing = Pinned {prog, black.back()}, .admission = LY})); + list.push_back(Replace {*policies.back(), offers[i]}); + } + ListOut out; + std::vector res; + out.error = error_of([&] { res = apply_actions(*ledger, list, BatchMode::Simultaneous); }); +#if NETGRAPH_CORE_PRIVATE_HOOKS + out.rounds = detail::thread_lossy_counters().rounds; +#endif + if (!out.error.empty()) return out; + for (std::size_t i = 0; i < routes.size(); ++i) { + const auto recs = policies[i]->records(); + Ints a; + Ints c; + Ints d; + for (auto e : routes[i]) { + const EdgeId id = net.id[static_cast(e)]; + Amount cf = 0; + Amount df = 0; + for (const auto& rec : recs) { + for (const auto& [x, v] : rec.edge_flows) cf += x == id ? v : 0; + for (const auto& [x, v] : rec.edge_drops) df += x == id ? lo(v) : 0; + } + a.push_back(cf + df); + c.push_back(cf); + d.push_back(df); + } + out.arrivals.push_back(a); + out.carried.push_back(c); + out.edge_drops.push_back(d); + out.delivered.push_back(res[i].call_delivered); + out.status.push_back(name_of(res[i].by_tunnel.front().status)); + } + for (std::int64_t e = 0; e < L; ++e) out.edge_flows.push_back(ledger->carried()[static_cast(net.id[static_cast(e)])]); + return out; +} + +// The list form of the stale-forwarding cycle examples: each head is its own demand (the reference's +// labels), a Pinned LOSSY policy over its tunnels with the example's black holes, created in head +// order, all in one SIMULTANEOUS list; a head's destination is its tunnels' end. +ListOut stale_list(const StalePathsIn& in) { + const Net n(in.edges); + auto ledger = std::make_shared(n.g); + const auto black = n.mask(in.black_nodes, in.black_links); + std::vector> policies; + std::vector list; + for (const auto& [h, offer] : in.offers) { + std::vector defs; + NodeId dest = 0; + for (const auto& [th, es] : in.tunnels) { + if (th != h) continue; + const auto p = n.path(es); + dest = p->destination(); + defs.push_back(RouteDefinition {h, p, 1}); + } + const NodeId s[1] = {h}; + const NodeId t[1] = {dest}; + const auto prog = ForwardingProgram::from_routes(*n.g, s, t, defs); + policies.push_back(std::make_unique(*ledger, std::vector {h}, std::vector {dest}, + FlowPolicyConfig {.routing = Pinned {prog, black}, .admission = LY})); + list.push_back(Replace {*policies.back(), offer}); + } + ListOut out; + std::vector res; + out.error = error_of([&] { res = apply_actions(*ledger, list, BatchMode::Simultaneous); }); +#if NETGRAPH_CORE_PRIVATE_HOOKS + out.rounds = detail::thread_lossy_counters().rounds; +#endif + // The statuses, from each policy's own view of its program (the same whatever the forwarding). + for (const auto& p : policies) { + const auto& pe = detail::PolicyAccess::engine(*p); + for (std::size_t e = 0; e < pe.view.data->entries.size(); ++e) out.status.push_back(name_of(pe.view.status(e))); + } + if (!out.error.empty()) return out; + for (const auto& r : res) out.delivered.push_back(r.call_delivered); + return out; +} + +// The examples' list helper for one-tunnel LOSSY participants on a fresh ledger, created in list +// order: per entry its delivery, drops, tunnel status, residual and saturated_boundary_edges (from +// the entry's own source). +struct ListAction { + NodeId source; + Ints route; + Amount offer; + Ints black_holes {}; +}; +struct EntryOut { + Amount delivered; + std::vector> call_edge_drops; + std::string status; + Amounts residual; + Ints saturated_boundary_edges; +}; +std::vector action_list(const std::vector& edges, const std::vector& actions, BatchMode mode) { + const Net n(edges); + auto ledger = std::make_shared(n.g); + std::vector> black; + std::vector> policies; + std::vector list; + for (const auto& a : actions) { + const auto p = n.path(a.route); + const NodeId s[1] = {a.source}; + const NodeId t[1] = {p->destination()}; + const std::vector defs {RouteDefinition {a.source, p, 1}}; + black.push_back(n.mask({}, a.black_holes)); + policies.push_back(std::make_unique(*ledger, std::vector {a.source}, std::vector {p->destination()}, + FlowPolicyConfig {.routing = Pinned {ForwardingProgram::from_routes(*n.g, s, t, defs), black.back()}, + .admission = LY})); + list.push_back(Replace {*policies.back(), a.offer}); + } + const auto res = apply_actions(*ledger, list, mode, OutputOptions {.residual = true, .saturated_boundary_edges = true}); + std::vector out; + for (const auto& r : res) { + EntryOut e {r.call_delivered, {}, name_of(r.by_tunnel.front().status), n.in_order(*r.residual), {}}; + for (const auto& [x, d] : r.call_edge_drops) e.call_edge_drops.emplace_back(n.pos(x), d); + std::sort(e.call_edge_drops.begin(), e.call_edge_drops.end()); + for (EdgeId x : *r.saturated_boundary_edges) e.saturated_boundary_edges.push_back(n.pos(x)); + std::sort(e.saturated_boundary_edges.begin(), e.saturated_boundary_edges.end()); + out.push_back(e); + } + return out; +} + +void expect_entry(const EntryOut& e, Amount delivered, const std::vector>& drops, const std::string& status, + const Amounts& residual, const Ints& boundary) { + EXPECT_EQ(e.delivered, delivered); + EXPECT_EQ(e.call_edge_drops, drops); + EXPECT_EQ(e.status, status); + EXPECT_EQ(e.residual, residual); + EXPECT_EQ(e.saturated_boundary_edges, boundary); +} + +const std::vector kCycleEdges = {{0, 1, 12, 1}, {1, 6, 1000, 1}, {2, 3, 9, 1}, {3, 0, 1000, 1}, + {3, 10, 1000, 1}, {4, 5, 7, 1}, {5, 6, 1000, 1}, {6, 7, 13, 1}, + {7, 2, 1000, 1}, {7, 10, 1000, 1}, {8, 9, 1, 1}, {10, 11, 10, 1}, + {11, 2, 1000, 1}, {12, 4, 1000, 1}, {13, 6, 1000, 1}, {14, 0, 1000, 1}}; +const std::vector> kCycleTunnels = { + {12, {13, 5, 6, 7, 8, 2, 4, 11}}, {13, {14, 7, 9, 11, 12, 2, 3, 0}}, {14, {15, 0, 1, 7}}}; +const std::vector kCycleBlackEdges = { + {0, 1, 12, 1}, {1, 6, 1000, 1}, {1, 16, 1000, 1}, {2, 3, 9, 1}, {3, 0, 1000, 1}, {3, 10, 1000, 1}, {4, 5, 7, 1}, + {5, 6, 1000, 1}, {6, 7, 13, 1}, {7, 2, 1000, 1}, {7, 10, 1000, 1}, {8, 9, 1, 1}, {10, 11, 10, 1}, {11, 2, 1000, 1}, + {12, 4, 1000, 1}, {13, 6, 1000, 1}, {14, 0, 1000, 1}, {15, 0, 1000, 1}, {16, 2, 1000, 1}}; +const std::vector> kCycleBlackTunnels = { + {12, {14, 6, 7, 8, 9, 3, 5, 12}}, {13, {15, 8, 10, 12, 13, 3, 4, 0}}, {14, {16, 0, 1, 8}}, {15, {17, 0, 2, 18, 3, 5, 12}}}; + +const std::string kPeriodTwo = "lossy forwarding iteration entered a period-2 cycle"; +const std::string kRoundLimit = "lossy forwarding iteration did not reach a fixed point within the round limit"; + +void expect_list(const ListOut& r, const Routes& arrivals, const Routes& carried, const std::optional& drops, const Amounts& delivered, + const Amounts& flows) { + EXPECT_EQ(r.error, ""); + EXPECT_EQ(r.arrivals, arrivals); + EXPECT_EQ(r.carried, carried); + if (drops.has_value()) EXPECT_EQ(r.edge_drops, *drops); + EXPECT_EQ(r.delivered, delivered); + EXPECT_EQ(r.edge_flows, flows); +} + +// D-no-H-fixed-point's oracle, the test's own: unit-at-a-time highest averages by exact +// cross-multiplication (ties to the earlier label), sharing nothing with the library. +Amounts own_h(Amount x, const Amounts& w) { + Amounts a(w.size(), 0); + for (Amount u = 0; u < x; ++u) { + std::size_t best = w.size(); + for (std::size_t i = 0; i < w.size(); ++i) { + if (w[i] <= 0) continue; + if (best == w.size() || w[i] * (a[best] + 1) > w[best] * (a[i] + 1)) best = i; + } + if (best == w.size()) return Amounts(w.size(), 0); + ++a[best]; + } + return a; +} + +} // namespace + +TEST(ContractExamples, D_crossing) { + expect_list(list_lossy({8, 4, 4}, {{0, 1}, {0}, {1}}, {9, 7}), {{8, 6}, {4}, {4}}, {{6, 4}, {3}, {3}}, Routes {{2, 2}, {1}, {1}}, {4, 3, 3}, + {9, 7}); +} +TEST(ContractExamples, D_C3) { + const auto r = list_lossy({1, 1, 2}, {{0, 1}, {1, 2}, {2, 0}}, {1, 1, 2}); + EXPECT_EQ(r.error, kPeriodTwo); +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(r.rounds, 3); +#endif +} +TEST(ContractExamples, D_cycle_prefix_suffix) { + expect_list(list_lossy({8, 4}, {{0, 1, 2}, {2, 1, 3}}, {2, 5, 5, 10}), {{8, 2, 2}, {4, 3, 3}}, {{2, 2, 2}, {3, 3, 3}}, + Routes {{6, 0, 0}, {1, 0, 0}}, {2, 3}, {2, 5, 5, 3}); +} +TEST(ContractExamples, D_cycle_subdivision_before) { + expect_list(list_lossy({2, 1, 4}, {{1, 0, 2}, {2, 0}, {2, 0, 1}}, {2, 4, 2}), {{2, 2, 1}, {1, 0}, {4, 2, 1}}, {{2, 1, 0}, {0, 0}, {2, 1, 1}}, + std::nullopt, {0, 0, 1}, {2, 3, 2}); +} +TEST(ContractExamples, D_cycle_subdivision_after) { + expect_list(list_lossy({2, 1, 4}, {{1, 0, 2, 3}, {2, 3, 0}, {2, 3, 0, 1}}, {2, 4, 2, 2}), {{2, 2, 1, 0}, {1, 0, 0}, {4, 2, 2, 1}}, + {{2, 1, 0, 0}, {0, 0, 0}, {2, 2, 1, 1}}, std::nullopt, {0, 0, 1}, {2, 3, 2, 2}); +} +// The documented call: two ECMP LOSSY policies on one link of 10. +TEST(ContractExamples, D_simultaneous) { + const Net n({{0, 1, 10, 1}}); + FlowLedger ledger(n.g); + const FlowPolicyConfig ecmp {.routing = ShortestPaths {}, .admission = LY}; + FlowPolicy a(ledger, v({0}), v({1}), ecmp); + FlowPolicy b(ledger, v({0}), v({1}), ecmp); + const auto res = apply_actions(ledger, std::vector {Replace {a, 10}, Replace {b, 10}}, BatchMode::Simultaneous); + EXPECT_EQ(res[0].call_delivered, 5); + EXPECT_EQ(res[1].call_delivered, 5); + EXPECT_EQ(res[0].call_edge_drops, (std::vector> {{0, 5}})); + EXPECT_EQ(res[1].call_edge_drops, (std::vector> {{0, 5}})); + EXPECT_EQ(ledger.carried(), (Amounts {10})); +} +// The C3 instance (A: 0, 1; B: 1, 2; C: 2, 0; offers 1, 1, 2; V 1, 1, 2): the test's own enumeration +// of every integer carried record within the continuation bounds and work conservation finds 5, none +// meeting the loss rule's link equations (each record's violating links named); the library's highest averages +// agrees with the test's own on every equation the enumeration evaluates; the list raises the +// period-2 error. +TEST(ContractExamples, D_no_H_fixed_point) { + const Amounts cap {1, 1, 2}; + int records = 0; + int solutions = 0; + std::vector> violations; + for (Amount a0 = 0; a0 <= 1; ++a0) { + for (Amount a1 = 0; a1 <= a0; ++a1) { + for (Amount b1 = 0; b1 <= 1; ++b1) { + for (Amount b2 = 0; b2 <= b1; ++b2) { + for (Amount c2 = 0; c2 <= 2; ++c2) { + for (Amount c0 = 0; c0 <= c2; ++c0) { + // Arrivals: A 1 then a0; B 1 then b1; C 2 then c2. Links: 0 (A0, C0), 1 (A1, B1), 2 (B2, C2). + const Amounts arr0 {1, c2}; + const Amounts car0 {a0, c0}; + const Amounts arr1 {a0, 1}; + const Amounts car1 {a1, b1}; + const Amounts arr2 {b1, 2}; + const Amounts car2 {b2, c2}; + auto conserving = [&](const Amounts& arr, const Amounts& car, Amount v) { + return car[0] + car[1] == std::min(v, arr[0] + arr[1]); + }; + if (!conserving(arr0, car0, cap[0]) || !conserving(arr1, car1, cap[1]) || !conserving(arr2, car2, cap[2])) continue; + ++records; + std::vector bad; + const std::vector> links {{arr0, car0}, {arr1, car1}, {arr2, car2}}; + for (std::size_t l = 0; l < 3; ++l) { + const Amount t = std::min(cap[l], links[l].first[0] + links[l].first[1]); + const Amounts mine = own_h(t, links[l].first); + Amounts lib(2, 0); + detail::highest_averages(t, links[l].first, lib); + EXPECT_EQ(lib, mine) << "link " << l; + if (mine != links[l].second) bad.push_back(static_cast(l)); + } + solutions += bad.empty() ? 1 : 0; + violations.push_back(bad); + } + } + } + } + } + } + EXPECT_EQ(records, 5); + EXPECT_EQ(solutions, 0); + EXPECT_EQ(violations, (std::vector> {{2}, {0}, {0, 1, 2}, {1}, {0}})); + EXPECT_EQ(list_lossy({1, 1, 2}, {{0, 1}, {1, 2}, {2, 0}}, {1, 1, 2}).error, kPeriodTwo); +} +TEST(ContractExamples, STALE_cycle_period_2) { + StalePathsIn in {{{0, 1, 768, 1}, {1, 2, 25600, 1}, {2, 3, 768, 1}, {3, 0, 25600, 1}, {4, 2, 25600, 1}, {5, 0, 25600, 1}, + {6, 2, 25600, 1}, {7, 8, 25600, 1}}, + {{4, {4, 2, 3, 0}}, {5, {5, 0, 1, 2}}, {6, {6, 2}}, {7, {7}}}, + {{4, 1024}, {5, 256}, {6, 256}, {7, 512}}}; + in.black_links = {7}; + const auto r = stale_list(in); + EXPECT_EQ(r.error, kPeriodTwo); +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(r.rounds, 8); +#endif +} +TEST(ContractExamples, STALE_cycle_round_limit_baseline) { + const StalePathsIn in {kCycleEdges, kCycleTunnels, {{12, 13}, {13, 11}, {14, 10}}}; + const auto r = stale_list(in); + EXPECT_EQ(r.error, ""); + EXPECT_EQ(r.delivered, (Amounts {3, 4, 4})); +} +TEST(ContractExamples, STALE_cycle_round_limit) { + StalePathsIn in {kCycleEdges, kCycleTunnels, {{12, 13}, {13, 11}, {14, 10}}}; + in.black_links = {5}; + const auto r = stale_list(in); + EXPECT_EQ(r.error, kRoundLimit); +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(r.rounds, 256); +#endif +} +TEST(ContractExamples, STALE_black_hole_in_cycle) { + StalePathsIn in {kCycleBlackEdges, kCycleBlackTunnels, {{12, 13}, {13, 11}, {14, 10}, {15, 5}}}; + in.black_links = {2, 6, 17}; + const auto r = stale_list(in); + EXPECT_EQ(r.status, (Texts {"BLACKHOLED", "UP", "UP", "BLACKHOLED"})); + EXPECT_EQ(r.error, kRoundLimit); +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(r.rounds, 256); +#endif +} +TEST(ContractExamples, LIST_black_hole_in_cycle) { + std::vector actions; + const Amounts offers {13, 11, 10, 5}; + for (std::size_t i = 0; i < kCycleBlackTunnels.size(); ++i) actions.push_back({kCycleBlackTunnels[i].first, kCycleBlackTunnels[i].second, offers[i], {2, 6, 17}}); + EXPECT_EQ(error_of([&] { (void)action_list(kCycleBlackEdges, actions, BatchMode::Simultaneous); }), kRoundLimit); +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(detail::thread_lossy_counters().rounds, 256); +#endif +} +TEST(ContractExamples, LIST_black_hole_own) { + const auto r = action_list({{0, 1, 10, 1}}, {{0, {0}, 10, {0}}, {0, {0}, 10}}, BatchMode::Simultaneous); + expect_entry(r[0], 0, {{0, 10}}, "BLACKHOLED", {0}, {0}); + expect_entry(r[1], 10, {}, "UP", {0}, {0}); +} +TEST(ContractExamples, LIST_black_hole_upstream) { + const auto r = action_list({{0, 1, 10, 1}, {1, 2, 10, 1}}, {{0, {0, 1}, 10, {1}}, {0, {0, 1}, 10}}, BatchMode::Simultaneous); + expect_entry(r[0], 0, {{0, 5}, {1, 5}}, "BLACKHOLED", {0, 5}, {0}); + expect_entry(r[1], 5, {{0, 5}}, "UP", {0, 5}, {0}); +} +TEST(ContractExamples, LIST_outputs_ordered) { + const auto r = action_list({{0, 1, 10, 1}}, {{0, {0}, 7}, {0, {0}, 7}}, BatchMode::Ordered); + expect_entry(r[0], 7, {}, "UP", {3}, {}); + expect_entry(r[1], 3, {{0, 4}}, "UP", {0}, {0}); +} +TEST(ContractExamples, LIST_outputs_simultaneous) { + const auto r = action_list({{0, 2, 5, 1}, {1, 2, 10, 1}, {2, 3, 10, 1}}, {{0, {0, 2}, 5}, {1, {1, 2}, 5}}, BatchMode::Simultaneous); + expect_entry(r[0], 5, {}, "UP", {0, 5, 0}, {0}); + expect_entry(r[1], 5, {}, "UP", {0, 5, 0}, {2}); +} +// The fourteen lists with real policies (a, b of the list's ledger; x of another; the cycling action +// is the step-3 cycle's Pinned replace(3)). +TEST(ContractExamples, LIST_first_error) { + const Net n({{0, 1, 10, 1}}); + const Net other({{0, 1, 10, 1}}); + const Net cyc({{0, 1, 1, 1}, {1, 2, 1000, 1}, {1, 5, 1000, 1}, {2, 3, 2, 1}, {3, 0, 1000, 1}, {3, 5, 1000, 1}, {4, 0, 1000, 1}, {4, 2, 1000, 1}, + {6, 7, 10, 1}}); + FlowLedger ledger(n.g); + FlowLedger foreign(other.g); + FlowLedger cl(cyc.g); + const FlowPolicyConfig ly {.routing = ShortestPaths {}, .admission = LY}; + const FlowPolicyConfig ll {.routing = ShortestPaths {}, .admission = LL}; + FlowPolicy a(ledger, v({0}), v({1}), ly); + FlowPolicy x(foreign, v({0}), v({1}), ly); + FlowPolicy all(ledger, v({0}), v({1}), ll); + FlowPolicy t(ledger, v({0}), v({1}), {.routing = dte_with(1), .admission = LL}); + FlowPolicy c(ledger, v({0}), v({1}), {.routing = centralized()}); + (void)c.place(1); + const NodeId s4[1] = {4}; + const NodeId t5[1] = {5}; + const std::vector two {RouteDefinition {4, cyc.path({6, 0, 1, 3, 5}), 1}, RouteDefinition {4, cyc.path({7, 3, 4, 0, 2}), 2}}; + const auto pc_prog = ForwardingProgram::from_routes(*cyc.g, s4, t5, two); + const NodeId s6[1] = {6}; + const NodeId t7[1] = {7}; + const std::vector one {RouteDefinition {6, cyc.path({8}), 1}}; + const auto pb_prog = ForwardingProgram::from_routes(*cyc.g, s6, t7, one); + FlowPolicy pc(cl, v({4}), v({5}), {.routing = Pinned {pc_prog, nullptr}, .admission = LY}); + FlowPolicy pb(cl, v({6}), v({7}), {.routing = Pinned {pb_prog, nullptr}, .admission = LY}); + FlowPolicy p(ledger, v({0}), v({1}), {.routing = Pinned {ForwardingProgram::from_routes(*n.g, std::vector {0}, std::vector {1}, + std::vector {RouteDefinition {0, n.path({0}), 1}}), + nullptr}, + .admission = LY}); + FlowPolicy inf(ledger, v({0}), v({1}), ly); + (void)inf.place(std::nullopt); + FlowPolicy fw(ledger, v({0}), v({1}), ly); + (void)fw.replace(1); + const auto foreign_black = other.mask({}, {0}); + const BatchMode O = BatchMode::Ordered; + const BatchMode S = BatchMode::Simultaneous; + auto first = [&](FlowLedger& l, std::vector list, BatchMode mode) { + const std::string e = error_of([&] { (void)apply_actions(l, list, mode); }); + return e.empty() ? std::string("valid") : e; + }; + const Texts got { + first(ledger, {Replace {a, -1}, Replace {x, 1}}, O), + first(ledger, {Replace {a, 1}, Replace {a, -1}}, O), + first(ledger, {Forward {fw, std::nullopt}}, S), + first(ledger, {Place {all, 1}}, S), + first(ledger, {Replace {t, 1}}, S), + first(ledger, {Forward {c, std::nullopt}}, S), + first(cl, {Replace {pc, 3}, Replace {pb, Amount {1} << 62}}, S), + first(cl, {Replace {pc, 3}, Replace {pb, 1}}, S), + first(ledger, {Place {t, -1}}, O), + first(ledger, {Forward {p, std::nullopt}}, O), + first(ledger, {Place {inf, 5}, Replace {x, 1}}, O), + first(ledger, {Replace {a, 1, finite(5)}, Replace {x, 1}}, O), + first(ledger, {Forward {fw, 1, foreign_black.get()}, Replace {x, 1}}, O), + first(ledger, {}, S), + }; + EXPECT_EQ(got, (Texts {"offer must be an integer in [0, 2^62) or permitted +inf", "duplicate policy in list", "SIMULTANEOUS requires finite offers", + "SIMULTANEOUS does not accept Place", "SIMULTANEOUS Replace requires ShortestPaths EQUAL or WEIGHTED, or Pinned", + "SIMULTANEOUS requires admission=LOSSY", "offer must be an integer in [0, 2^62) or permitted +inf", kPeriodTwo, + "DistributedTE does not support incremental placement", "Pinned forwards with replace", + "finite placement after infinite placement requires a new epoch", "ShortestPaths does not accept design_demand", + "black_holes belongs to another graph", "valid"})); +} +// The forwarding sizes' counting step on the example's sizes (per participant, groups of tunnels +// of one path length): the entry count, then the occurrence count, each in wide arithmetic against +// 2^31 - 1 (the network itself cannot be built at these sizes; the end-to-end refusals run under +// the hooks' small limits, ForwardingSize and ApplyActions tests). +TEST(ContractExamples, ERR_forwarding_limit) { + using Groups = std::vector>; + auto check = [](const std::vector& participants) { + std::int64_t entries = 0; + std::int64_t occurrences = 0; + for (const auto& g : participants) { + for (const auto& [count, length] : g) { + entries += count; + occurrences += count * length; + } + } + try { + detail::check_forwarding_count(detail::ForwardingCounter::Entry, entries); + detail::check_forwarding_count(detail::ForwardingCounter::Occurrence, occurrences); + } catch (const std::invalid_argument& e) { + return std::string(e.what()); + } + return std::string("within the entry and occurrence limits"); + }; +#if NETGRAPH_CORE_PRIVATE_HOOKS + detail::thread_forwarding_limits() = {}; +#endif + EXPECT_EQ(check({{{10000, 214749}}}), "forwarding occurrence limit exceeded: 2147490000 > 2147483647"); + EXPECT_EQ(check({{{10000, 214748}, {1, 3647}}}), "within the entry and occurrence limits"); + EXPECT_EQ(check({{{10000, 214748}, {1, 3648}}}), "forwarding occurrence limit exceeded: 2147483648 > 2147483647"); + EXPECT_EQ(check({{{1, 1073741824}}}), "within the entry and occurrence limits"); + EXPECT_EQ(check({{{1, 1073741824}}, {{1, 1073741824}}}), "forwarding occurrence limit exceeded: 2147483648 > 2147483647"); + EXPECT_EQ(check({{{2147483648, 1}}}), "forwarding entry limit exceeded: 2147483648 > 2147483647"); +} +// The list's offers as C++ values (the Python conversions, a bool, a string, a fraction, a float or +// an int beyond 64 bits, have no C++ form): -1 fails the call's domain, 5 and +inf are valid. +TEST(ContractExamples, ERR_class_list) { + const Net n({{0, 1, 10, 1}}); + auto run = [&](std::optional offer) { + FlowLedger ledger(n.g); + FlowPolicy p(ledger, v({0}), v({1}), {.routing = ShortestPaths {}, .admission = LY}); + const std::string e = error_of([&] { (void)apply_actions(ledger, std::vector {Place {p, offer}}, BatchMode::Ordered); }); + return e.empty() ? std::string("valid") : e; + }; + EXPECT_EQ(run(-1), "offer must be an integer in [0, 2^62) or permitted +inf"); + EXPECT_EQ(run(5), "valid"); + EXPECT_EQ(run(std::nullopt), "valid"); +} diff --git a/tests/cpp/flow_ledger_tests.cpp b/tests/cpp/flow_ledger_tests.cpp index 570c5f9..267d9b5 100644 --- a/tests/cpp/flow_ledger_tests.cpp +++ b/tests/cpp/flow_ledger_tests.cpp @@ -3,7 +3,7 @@ // with the route as its support, or Pinned over it as a supplied split route: test::RoutePolicy, // route_policy.hpp); the 128-bit counters of the records; // and the commit rule itself (each edge published once, the multi-owner model, the fresh-record -// path), driven through detail::LedgerAccess directly. +// path, the batch exchange of several owners), driven through detail::LedgerAccess directly. // // | State | place | remove() | destroyed | reset | copy | // | bound, no flows | place(0) no-op; positive | resets the epoch | none | rejected | rejected | @@ -1371,3 +1371,228 @@ TEST(FlowLedger, OwnersWithoutRecordsAreForgotten) { EXPECT_EQ(LedgerAccess::bound_policy_ids(fg), (std::vector {0, 1002})); EXPECT_EQ(LedgerAccess::orphan_policy_ids(fg), (std::vector {1001})); } + +namespace { + +// The batch exchange of several owners (apply_actions' publication), each with its own rule. +std::vector> commit_batch(FlowLedger& fg, std::vector owners, + std::vector>& drafts, + std::vector retire) { + std::vector parts; + for (std::size_t i = 0; i < owners.size(); ++i) parts.push_back({owners[i], drafts[i], retire[i]}); + std::vector> created(owners.size()); + LedgerAccess::commit_batch(fg, parts, created); + return created; +} + +} // namespace + +TEST(FlowLedger, RandomBatchesMatchAModel) { + // Four owners on four edges; each step one batch of one to four distinct owners in random + // order, each owner committing (every live record kept, changed, emptied or moved, plus up to + // two new) or exchanging (every live record retired, up to two new). A batch is feasible exactly + // when the aggregate over every owner fits, even where an owner alone would not (one gives up + // what another takes); new ids follow owner order, then draft order. A refused batch names an + // edge over its capacity and changes nothing. + std::mt19937 rng(23); + auto g = shared(make_graph(4, {{0, 1, 6, 1}, {1, 2, 4, 1}, {2, 3, 5, 1}, {0, 3, 3, 1}})); + const auto dag = all_edges(*g); + const auto m = static_cast(g->num_edges()); + FlowLedger fg(g); + std::vector owners; + for (int i = 0; i < 4; ++i) owners.push_back(LedgerAccess::bind(fg)); + std::vector>> model(owners.size()); + std::int64_t next_id = 0; + int accepted = 0; + int rejected = 0; + int needs_batch = 0; // accepted batches some of whose owners would be refused alone, in batch order + auto random_edges = [&] { + std::vector a(m, 0); + for (std::size_t e = 0; e < m; ++e) a[e] = (rng() % 3) == 0 ? static_cast(rng() % 3) : 0; + return a; + }; + auto as_pairs = [](const std::vector& a) { + std::vector> out; + for (std::size_t e = 0; e < a.size(); ++e) { + if (a[e] != 0) out.emplace_back(static_cast(e), a[e]); + } + return out; + }; + for (int step = 0; step < 3000; ++step) { + std::vector order(owners.size()); + for (std::size_t i = 0; i < order.size(); ++i) order[i] = i; + std::shuffle(order.begin(), order.end(), rng); + order.resize(1 + rng() % owners.size()); + std::vector ids; + std::vector> drafts; + std::vector retire; + std::vector>> after = model; + std::vector> want_ids; + std::int64_t id = next_id; + for (std::size_t o : order) { + ids.push_back(owners[o]); + retire.push_back(rng() % 3 == 0); + drafts.emplace_back(); + after[o].clear(); + if (!retire.back()) { + for (const auto& [rid, a] : model[o]) { + const auto kind = rng() % 4; + std::vector b = a; + if (kind == 1) { + b[rng() % m] += 1; + } else if (kind == 2) { + b.assign(m, 0); + } else if (kind == 3) { + b = random_edges(); + } + drafts.back().push_back(draft_on(dag, as_pairs(b), rid)); + after[o][rid] = b; + } + } + want_ids.emplace_back(); + const int fresh = static_cast(rng() % 3); + for (int k = 0; k < fresh; ++k) { + const auto b = random_edges(); + drafts.back().push_back(draft_on(dag, as_pairs(b))); + after[o][id] = b; + want_ids.back().emplace_back(fg.uid(), id++); + } + } + std::vector total(m, 0); + for (const auto& recs : after) { + for (const auto& [rid, a] : recs) { + for (std::size_t e = 0; e < m; ++e) total[e] += a[e]; + } + } + bool feasible = true; + for (std::size_t e = 0; e < m; ++e) feasible = feasible && total[e] <= g->edge_capacity_units()[e]; + const LedgerState before_state = ledger_state(fg); + if (feasible) { + // Would the owners, one at a time in batch order, all pass alone? + std::vector running = fg.carried(); + bool alone = true; + for (std::size_t j = 0; j < order.size(); ++j) { + const auto o = order[j]; + for (const auto& [rid, a] : model[o]) { + for (std::size_t e = 0; e < m; ++e) running[e] -= a[e]; + } + for (const auto& [rid, a] : after[o]) { + for (std::size_t e = 0; e < m; ++e) running[e] += a[e]; + } + for (std::size_t e = 0; e < m; ++e) alone = alone && running[e] <= g->edge_capacity_units()[e]; + } + needs_batch += alone ? 0 : 1; + EXPECT_EQ(commit_batch(fg, ids, drafts, retire), want_ids) << "step " << step; + model = after; + next_id = id; + ++accepted; + } else { + std::vector refusals; + for (std::size_t e = 0; e < m; ++e) { + if (total[e] <= g->edge_capacity_units()[e]) continue; + refusals.push_back("ledger: infeasible commit on edge " + std::to_string(e) + " (" + std::to_string(total[e]) + + " of " + std::to_string(g->edge_capacity_units()[e]) + ")"); + } + const std::string got = logic_error_of([&] { (void)commit_batch(fg, ids, drafts, retire); }); + EXPECT_TRUE(std::find(refusals.begin(), refusals.end(), got) != refusals.end()) << "step " << step << ": " << got; + expect_same(ledger_state(fg), before_state, "step " + std::to_string(step)); + ++rejected; + } + std::vector want(m, 0); + std::map>>> want_records; + for (std::size_t q = 0; q < owners.size(); ++q) { + for (const auto& [rid, a] : model[q]) { + for (std::size_t e = 0; e < m; ++e) want[e] += a[e]; + want_records[rid] = {owners[q], as_pairs(a)}; + } + } + ASSERT_EQ(fg.carried(), want) << "step " << step; + ASSERT_EQ(LedgerAccess::next_record_counter(fg), next_id); + const auto records = fg.records(); + ASSERT_EQ(records.size(), want_records.size()) << "step " << step; + for (const auto& r : records) { + const auto it = want_records.find(r.flow_id.second); + ASSERT_NE(it, want_records.end()) << "step " << step << ": record " << r.flow_id.second; + EXPECT_EQ(r.policy_id, it->second.first) << "step " << step; + EXPECT_EQ(r.edge_flows, it->second.second) << "step " << step; + } + } + EXPECT_GT(accepted, 500); + EXPECT_GT(rejected, 500); + EXPECT_GT(needs_batch, 50); + for (auto owner : owners) LedgerAccess::release(fg, owner); +} + +TEST(FlowLedger, BatchHoldsMoveBetweenOwnersAtomically) { + // A holds 6 of a reservation baseline of 6; one batch moves the hold to B (A retires its + // record). B alone first would be refused; the batch passes. A batch that ends over the + // baseline is refused with the hold message and changes nothing. + auto g = shared(make_graph(2, {{0, 1, 10, 1}})); + const auto dag = all_edges(*g); + const std::vector service {10}; + const std::vector reservation {6}; + FlowLedger fg(g, service, reservation); + const auto a = LedgerAccess::bind(fg); + const auto b = LedgerAccess::bind(fg); + auto held_draft = [&](Amount flow, Amount hold) { + detail::RecordDraft d = draft_on(dag, {{0, flow}}); + d.record.edge_reservations = {{0, hold}}; + return d; + }; + std::vector first {held_draft(1, 6)}; + (void)LedgerAccess::commit(fg, a, first); + std::vector b_alone {held_draft(1, 6)}; + EXPECT_EQ(logic_error_of([&] { (void)LedgerAccess::commit(fg, b, b_alone); }), + "ledger: infeasible reservation on edge 0 (12 of 6)"); + std::vector> over {{}, {held_draft(1, 6)}}; + over[0].push_back(held_draft(1, 1)); + const LedgerState before = ledger_state(fg); + EXPECT_EQ(logic_error_of([&] { (void)commit_batch(fg, {a, b}, over, {true, false}); }), + "ledger: infeasible reservation on edge 0 (7 of 6)"); + expect_same(ledger_state(fg), before, "the refused batch"); + std::vector> move {{held_draft(2, 6)}, {}}; + const auto created = commit_batch(fg, {b, a}, move, {false, true}); + EXPECT_EQ(created, (std::vector> {{{fg.uid(), 1}}, {}})); + EXPECT_EQ(fg.carried(), (std::vector {2})); + EXPECT_EQ(fg.reserved(), (std::vector {6})); + ASSERT_EQ(fg.records().size(), 1U); + EXPECT_EQ(fg.records()[0].policy_id, b); + (void)LedgerAccess::detach(fg, b); + LedgerAccess::release(fg, a); + LedgerAccess::release(fg, b); +} + +TEST(FlowLedger, BatchRefusalsChangeNothing) { + // The batch's own refusals, each before anything changes: an unbound owner, an owner twice, a + // created list per owner, a commit that drops a live record, and the record ids of the whole + // batch counted first (each owner alone would fit the ids left). + auto g = shared(make_graph(2, {{0, 1, 9, 1}})); + const auto dag = all_edges(*g); + FlowLedger fg(g); + const auto a = LedgerAccess::bind(fg); + const auto b = LedgerAccess::bind(fg); + std::vector first {draft_on(dag, {{0, 1}})}; + const auto ids = LedgerAccess::commit(fg, a, first); + const LedgerState before = ledger_state(fg); + std::vector> two {{draft_on(dag, {{0, 1}})}, {draft_on(dag, {{0, 1}})}}; + EXPECT_EQ(logic_error_of([&] { (void)commit_batch(fg, {b, 77}, two, {true, true}); }), "ledger: commit by an unbound owner"); + EXPECT_EQ(logic_error_of([&] { (void)commit_batch(fg, {b, b}, two, {true, true}); }), "ledger: an owner twice in a batch"); + std::vector parts {{a, two[0], true}}; + std::vector> none; + EXPECT_EQ(logic_error_of([&] { LedgerAccess::commit_batch(fg, parts, none); }), + "ledger: a batch needs one id list per owner"); + EXPECT_EQ(logic_error_of([&] { (void)commit_batch(fg, {b, a}, two, {true, false}); }), + "ledger: a commit must carry every live record of its policy"); + expect_same(ledger_state(fg), before, "the malformed batches"); + LedgerAccess::set_next_ids(fg, kLastId, 2); + const LedgerState one_left = ledger_state(fg); + EXPECT_EQ(runtime_error_of([&] { (void)commit_batch(fg, {a, b}, two, {true, true}); }), "record identity limit exceeded"); + expect_same(ledger_state(fg), one_left, "two owners' new records, one id left"); + std::vector> one {{draft_on(dag, {{0, 2}}, ids[0].second)}, {draft_on(dag, {{0, 1}})}}; + EXPECT_EQ(commit_batch(fg, {a, b}, one, {false, false}), (std::vector> {{}, {{fg.uid(), kLastId}}})); + EXPECT_EQ(fg.carried(), (std::vector {3})); + (void)LedgerAccess::detach(fg, a); + (void)LedgerAccess::detach(fg, b); + LedgerAccess::release(fg, a); + LedgerAccess::release(fg, b); +} diff --git a/tests/cpp/joint_forwarding_tests.cpp b/tests/cpp/joint_forwarding_tests.cpp new file mode 100644 index 0000000..74089ec --- /dev/null +++ b/tests/cpp/joint_forwarding_tests.cpp @@ -0,0 +1,1122 @@ +// The loss rule over several demands at once (detail::lossy of ForwardingDemand values: the demand +// level above sources and entries, A+ and the cycle rule across demands, per-demand black holes), +// natively: random tunnel demands against an independent reference evaluator (cycles, black holes, +// serial pairs and round counts included); one pooled demand against the pooled kernel it replaces +// in a list; random pooled and tunnel demands without a cyclic group against an independent +// synchronous sweep; hand-derived cases (the demand level above tunnels and sources, a pooled demand +// sharing a link, pooled roots blocking serial pairs, the source-labelled round state of a pooled +// cycle, link sums beyond 2^63 and 2^64). The references call none of the library's apportionment +// helpers (program_reference's round robin and highest averages). +#include + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/forwarding.hpp" +#include "netgraph/core/detail/private_hooks.hpp" +#include "netgraph/core/detail/program_data.hpp" +#include "netgraph/core/detail/route_kernels.hpp" +#include "netgraph/core/flow_ledger.hpp" +#include "netgraph/core/flow_policy.hpp" +#include "netgraph/core/forwarding_program.hpp" +#include "test_utils.hpp" + +using namespace netgraph::core; +using namespace netgraph::core::test; + +namespace { + +namespace ref = program_reference; + +using Amounts = std::vector; +using Pairs = std::vector>; +using detail::PreparedRoute; +using detail::ProgramFlow; + +const std::string kPeriodTwo = "lossy forwarding iteration entered a period-2 cycle"; +const std::string kRoundLimit = "lossy forwarding iteration did not reach a fixed point within the round limit"; + +// ---------------------------------------------------------------- the reference of simple paths + +// One component of the reference: one tunnel of one demand with its own offer, its route +// (EdgeIds), its label (demand, source, tunnel) and the links its demand black-holes. +struct Component { + Amount offer {0}; + std::vector route {}; + std::tuple label {}; + std::set dark {}; +}; + +struct RefResult { + std::string error {}; // empty: solved + std::int64_t rounds {0}; // every round of every cyclic group + std::vector arrival {}; + std::vector carried {}; + Amounts delivered {}; +}; + +// The loss rule at a link: demands by H, then sources, then tunnels, over the arrivals of one link's members. +Amounts hierarchical(Amount total, const Amounts& arrivals, const std::vector>& labels) { + Amounts out(arrivals.size(), 0); + std::function&, Amount, int)> split = [&](const std::vector& ids, Amount amount, + int depth) { + if (depth == 3) { + out[ids.front()] = amount; + return; + } + std::map> groups; + for (auto i : ids) { + const int key = depth == 0 ? std::get<0>(labels[i]) : depth == 1 ? std::get<1>(labels[i]) : std::get<2>(labels[i]); + groups[key].push_back(i); + } + Amounts w; + for (const auto& [k, g] : groups) { + Amount s = 0; + for (auto i : g) s += arrivals[i]; + w.push_back(s); + } + auto q = ref::highest_averages(amount, w); + if (q.empty()) q.assign(w.size(), 0); + std::size_t j = 0; + for (const auto& [k, g] : groups) split(g, q[j++], depth + 1); + }; + std::vector all(arrivals.size()); + for (std::size_t i = 0; i < all.size(); ++i) all[i] = i; + split(all, total, 0); + return out; +} + +// A reference evaluator of the loss rule for simple-path components, written apart from the +// library (its own SCCs, splits and rounds): A+ where arrivals are determined, serial normalization, bounded synchronous +// rounds from zero in every cyclic group, the period-two and round-limit errors. +RefResult reference(const std::vector& comps, const Amounts& cap) { + const std::size_t n = comps.size(); + auto black = [&](std::size_t i, std::size_t j) { return comps[i].dark.count(comps[i].route[j]) != 0; }; + std::map>> occ; + for (std::size_t i = 0; i < n; ++i) { + for (std::size_t j = 0; j < comps[i].route.size(); ++j) { + if (!black(i, j)) occ[comps[i].route[j]].emplace_back(i, j); + } + } + std::set binding; + for (const auto& [e, members] : occ) { + Amount upper = 0; + for (const auto& [i, j] : members) upper += comps[i].offer; + if (upper > cap[static_cast(e)]) binding.insert(e); + } + for (const auto& [e, members] : occ) { + std::vector> nexts; + bool all = true; + for (const auto& [i, j] : members) { + if (j + 1 >= comps[i].route.size()) all = false; + nexts.emplace_back(i, j + 1); + } + if (!all) continue; + std::set g; + for (const auto& [i, j] : nexts) g.insert(comps[i].route[j]); + if (g.size() != 1) continue; + const EdgeId f = *g.begin(); + auto at = occ.find(f); + auto theirs = at == occ.end() ? std::vector> {} : at->second; + std::sort(nexts.begin(), nexts.end()); + std::sort(theirs.begin(), theirs.end()); + if (f != e && cap[static_cast(f)] == cap[static_cast(e)] && nexts == theirs) binding.erase(f); + } + // Nodes: routers (0, i, j) and services (1, e, 0). + using Node = std::tuple; + std::map> graph; + auto arc = [&](const Node& a, const Node& b) { + graph[a].insert(b); + graph[b]; + }; + for (std::size_t i = 0; i < n; ++i) { + if (comps[i].offer == 0) continue; + for (std::size_t j = 0; j < comps[i].route.size(); ++j) { + const EdgeId e = comps[i].route[j]; + const Node r {0, static_cast(i), static_cast(j)}; + const Node r2 {0, static_cast(i), static_cast(j + 1)}; + if (binding.count(e) != 0 && !black(i, j)) { + arc(r, Node {1, e, 0}); + arc(Node {1, e, 0}, r2); + } else { + arc(r, r2); + } + } + } + // Strongly connected components (recursive Tarjan; the graphs are small). + std::map index; + std::map low; + std::vector stack; + std::set on; + std::vector> groups; + std::function strong = [&](const Node& v) { + index[v] = low[v] = static_cast(index.size()); + stack.push_back(v); + on.insert(v); + for (const auto& w : graph[v]) { + if (index.count(w) == 0) { + strong(w); + low[v] = std::min(low[v], low[w]); + } else if (on.count(w) != 0) { + low[v] = std::min(low[v], index[w]); + } + } + if (low[v] == index[v]) { + std::vector group; + while (true) { + const Node w = stack.back(); + stack.pop_back(); + on.erase(w); + group.push_back(w); + if (w == v) break; + } + groups.push_back(group); + } + }; + for (const auto& [v, _] : graph) { + if (index.count(v) == 0) strong(v); + } + std::map where; + for (std::size_t g = 0; g < groups.size(); ++g) { + for (const auto& v : groups[g]) where[v] = g; + } + std::vector> preds(groups.size()); + for (const auto& [a, bs] : graph) { + for (const auto& b : bs) { + if (where[a] != where[b]) preds[where[b]].insert(where[a]); + } + } + RefResult out; + out.arrival.resize(n); + out.carried.resize(n); + for (std::size_t i = 0; i < n; ++i) { + out.arrival[i].assign(comps[i].route.size(), 0); + out.carried[i].assign(comps[i].route.size(), 0); + } + auto router = [&](std::size_t i, std::size_t j) { + if (j >= comps[i].route.size()) return; + out.arrival[i][j] = j == 0 ? comps[i].offer : out.carried[i][j - 1]; + if (black(i, j)) { + out.carried[i][j] = 0; + } else if (binding.count(comps[i].route[j]) == 0) { + out.carried[i][j] = out.arrival[i][j]; + } + }; + auto service = [&](EdgeId e) { + const auto& members = occ[e]; + Amounts w; + std::vector> labels; + Amount sum = 0; + for (const auto& [i, j] : members) { + w.push_back(out.arrival[i][j]); + labels.push_back(comps[i].label); + sum += out.arrival[i][j]; + } + return hierarchical(std::min(cap[static_cast(e)], sum), w, labels); + }; + std::set done; + while (done.size() < groups.size()) { + // Any ready group: the order of independent groups changes no value and no round count. + std::size_t g = 0; + while (done.count(g) != 0 || !std::includes(done.begin(), done.end(), preds[g].begin(), preds[g].end())) ++g; + done.insert(g); + const auto& nodes = groups[g]; + if (nodes.size() == 1 && graph[nodes.front()].count(nodes.front()) == 0) { + const auto& v = nodes.front(); + if (std::get<0>(v) == 0) { + router(static_cast(std::get<1>(v)), static_cast(std::get<2>(v))); + } else { + const EdgeId e = static_cast(std::get<1>(v)); + const auto c = service(e); + for (std::size_t k = 0; k < c.size(); ++k) out.carried[occ[e][k].first][occ[e][k].second] = c[k]; + } + continue; + } + std::vector es; + std::vector> inner; + for (const auto& v : nodes) { + if (std::get<0>(v) == 1) { + es.push_back(static_cast(std::get<1>(v))); + } else { + inner.emplace_back(static_cast(std::get<1>(v)), static_cast(std::get<2>(v))); + } + } + std::sort(es.begin(), es.end()); + std::sort(inner.begin(), inner.end()); + std::vector> coords; + for (EdgeId e : es) { + for (const auto& c : occ[e]) coords.push_back(c); + } + Amounts previous(coords.size(), 0); + std::optional before; + for (const auto& [i, j] : coords) out.carried[i][j] = 0; + bool solved = false; + const auto limit = 64 * static_cast(es.size()); + for (std::int64_t step = 1; step <= limit; ++step) { + ++out.rounds; + for (const auto& [i, j] : inner) router(i, j); + Amounts next; + for (EdgeId e : es) { + const auto c = service(e); + next.insert(next.end(), c.begin(), c.end()); + } + for (std::size_t k = 0; k < coords.size(); ++k) out.carried[coords[k].first][coords[k].second] = next[k]; + if (next == previous) { + solved = true; + break; + } + if (before.has_value() && next == *before) { + out.error = kPeriodTwo; + return out; + } + before = previous; + previous = next; + } + if (!solved) { + out.error = kRoundLimit; + return out; + } + } + out.delivered.resize(n); + for (std::size_t i = 0; i < n; ++i) out.delivered[i] = out.carried[i].empty() ? comps[i].offer : out.carried[i].back(); + return out; +} + +// The reference's own controls: D-crossing and D-C2 (two fixed points, period two +// at round 3), a dark arrival dropped where it arrives. +TEST(JointForwarding, ReferenceControls) { + // D-crossing: A on e, f (8); B on e (4); C on f (4); V(e) = 9, V(f) = 7. + const auto r = reference({{8, {0, 1}, {0, 0, 0}, {}}, {4, {0}, {1, 0, 0}, {}}, {4, {1}, {2, 0, 0}, {}}}, {9, 7}); + EXPECT_EQ(r.error, ""); + EXPECT_EQ(r.delivered, (Amounts {4, 3, 3})); + const auto c2 = reference({{1, {0, 1}, {0, 0, 0}, {}}, {2, {1, 0}, {1, 0, 0}, {}}}, {1, 2}); + EXPECT_EQ(c2.error, kPeriodTwo); + EXPECT_EQ(c2.rounds, 3); + const auto d = reference({{5, {0, 1}, {0, 0, 0}, {0}}, {3, {1}, {1, 0, 0}, {}}}, {10, 4}); + EXPECT_EQ(d.delivered, (Amounts {0, 3})); + EXPECT_EQ(d.arrival[0], (Amounts {5, 0})); +} + +// ---------------------------------------------------------------- the library's side + +// A demand of tunnels for the library: per head its injection, per tunnel (head index, EdgeIds, +// weight), its black-holed links. +struct TunnelDemand { + std::vector heads {}; + Amounts injections {}; + std::vector, Amount>> tunnels {}; + std::vector dark {}; +}; + +struct Built { + std::vector> programs; + std::vector> black; + std::vector> views; +}; + +Built build(const Graph& g, const std::vector& demands, NodeId dst) { + Built b; + for (const auto& d : demands) { + std::vector routes; + for (const auto& [h, es, w] : d.tunnels) { + std::vector> hops; + for (EdgeId e : es) hops.push_back({e}); + routes.push_back(RouteDefinition {d.heads[h], std::make_shared(g, hops), w}); + } + b.programs.push_back(ForwardingProgram::from_routes(g, d.heads, std::vector {dst}, routes)); + b.black.push_back(d.dark.empty() ? nullptr : std::make_shared(g.eligibility({}, d.dark))); + b.views.push_back(std::make_unique( + detail::make_forwarding_view(g, b.programs.back(), nullptr, std::vector {dst}, b.black.back().get()))); + } + return b; +} + +detail::AvailableCapacityFn capacities(const Graph& g) { + return [&g](std::span edges, std::span out) { + for (std::size_t i = 0; i < edges.size(); ++i) out[i] = g.edge_capacity_units()[static_cast(edges[i])]; + }; +} + +std::vector joint(const Graph& g, const Built& b, const std::vector& injections) { + std::vector demands; + for (std::size_t d = 0; d < b.views.size(); ++d) demands.push_back({b.views[d].get(), injections[d]}); + return detail::lossy(demands, capacities(g)); +} + +// Random tunnel demands (one to three, each with one or two heads and one or two tunnels per head) +// on random small graphs with cycles, some links black-holed for one demand, against the +// reference: every hop's arrival and carried amount, each tunnel's delivery, the errors, and the +// rounds of every cyclic group (hooks). Each tunnel ends at the one destination. +TEST(JointForwarding, TunnelDemandsMatchTheReference) { + std::mt19937 rng(20261020); + int checked = 0; + int cyclic = 0; // trials whose evaluation iterated a group + int errors = 0; // trials that raised a cycle-rule error (rare: the deterministic cases are below) + int dark = 0; // trials with a black-holed link on some forwarded tunnel + int crossings = 0; // trials where some link carries two demands + for (int trial = 0; trial < 3000; ++trial) { + const std::int32_t inner = 5; + const NodeId dst = inner; + std::vector rows; + for (NodeId u = 0; u < inner; ++u) { + for (NodeId w = 0; w < inner; ++w) { + if (u != w && rng() % 2 == 0) rows.push_back({u, w, static_cast(rng() % 4), 1}); + } + rows.push_back({u, dst, static_cast(rng() % 7), 1}); + } + const auto g = shared(make_graph(inner + 1, rows)); + // A random simple walk from h over inner nodes (1 to 3 inner edges), then its exit to dst. + auto walk = [&](NodeId h) { + std::vector path; + std::set seen {h}; + NodeId u = h; + const int len = static_cast(rng() % 5); + for (int k = 0; k < len; ++k) { + std::vector out; + for (EdgeId e = 0; e < g->num_edges(); ++e) { + const auto ei = static_cast(e); + if (g->edge_sources()[ei] == u && g->edge_destinations()[ei] != dst && seen.count(g->edge_destinations()[ei]) == 0) out.push_back(e); + } + if (out.empty()) break; + const EdgeId e = out[rng() % out.size()]; + path.push_back(e); + u = g->edge_destinations()[static_cast(e)]; + seen.insert(u); + } + for (EdgeId e = 0; e < g->num_edges(); ++e) { + if (g->edge_sources()[static_cast(e)] == u && g->edge_destinations()[static_cast(e)] == dst) { + path.push_back(e); + break; + } + } + return path; + }; + std::vector demands(1 + rng() % 4); + std::vector comps; + for (std::size_t d = 0; d < demands.size(); ++d) { + auto& dm = demands[d]; + std::set heads; + const int nh = 1 + static_cast(rng() % 2); + while (static_cast(heads.size()) < nh) heads.insert(static_cast(rng() % inner)); + dm.heads.assign(heads.begin(), heads.end()); + for (std::size_t h = 0; h < dm.heads.size(); ++h) { + const int nt = 1 + static_cast(rng() % 2); + for (int t = 0; t < nt; ++t) dm.tunnels.emplace_back(h, walk(dm.heads[h]), 1 + static_cast(rng() % 3)); + dm.injections.push_back(static_cast(rng() % 13)); + } + if (rng() % 3 == 0) { + std::set black; + for (const auto& [h, es, w] : dm.tunnels) { + if (rng() % 2 == 0) black.insert(es[rng() % es.size()]); + } + dm.dark.assign(black.begin(), black.end()); + } + // The components: per head, its tunnels' highest-averages amounts of its injection. + for (std::size_t h = 0; h < dm.heads.size(); ++h) { + Amounts w; + std::vector ids; + for (std::size_t t = 0; t < dm.tunnels.size(); ++t) { + if (std::get<0>(dm.tunnels[t]) == h) { + ids.push_back(t); + w.push_back(std::get<2>(dm.tunnels[t])); + } + } + const auto split = ref::highest_averages(dm.injections[h], w); + for (std::size_t k = 0; k < ids.size(); ++k) { + const auto& [hh, es, ww] = dm.tunnels[ids[k]]; + comps.push_back({split[k], es, {static_cast(d), static_cast(h), static_cast(ids[k])}, + std::set(dm.dark.begin(), dm.dark.end())}); + } + } + } + Amounts cap(g->edge_capacity_units().begin(), g->edge_capacity_units().end()); + const auto want = reference(comps, cap); + const auto b = build(*g, demands, dst); + std::vector injections; + for (const auto& dm : demands) injections.push_back(dm.injections); + const std::string where = "trial " + std::to_string(trial); + std::vector got; + std::string error; + try { + got = joint(*g, b, injections); + } catch (const std::invalid_argument& e) { + error = e.what(); + } + ASSERT_EQ(error, want.error) << where; +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(detail::thread_lossy_counters().rounds, want.rounds) << where; + cyclic += detail::thread_lossy_counters().groups > 0 ? 1 : 0; +#endif + errors += error.empty() ? 0 : 1; + if (!error.empty()) { + ++checked; + continue; + } + // Per component (in demand, then head, then tunnel order of the components list): its entry. + std::size_t c = 0; + std::map> users; + for (std::size_t d = 0; d < demands.size(); ++d) { + const auto& dm = demands[d]; + for (std::size_t h = 0; h < dm.heads.size(); ++h) { + for (std::size_t t = 0; t < dm.tunnels.size(); ++t) { + if (std::get<0>(dm.tunnels[t]) != h) continue; + const auto& f = got[d].entries[t]; + const auto& es = std::get<1>(dm.tunnels[t]); + Pairs flows; + Pairs drops; + for (std::size_t j = 0; j < es.size(); ++j) { + if (want.carried[c][j] != 0) { + flows.emplace_back(es[j], want.carried[c][j]); + users[es[j]].insert(static_cast(d)); + } + if (want.arrival[c][j] != want.carried[c][j]) drops.emplace_back(es[j], want.arrival[c][j] - want.carried[c][j]); + dark += comps[c].dark.count(es[j]) != 0 && comps[c].offer > 0 ? 1 : 0; + } + std::sort(flows.begin(), flows.end()); + std::sort(drops.begin(), drops.end()); + EXPECT_EQ(f.assigned, comps[c].offer) << where << " component " << c; + EXPECT_EQ(f.delivered, want.delivered[c]) << where << " component " << c; + EXPECT_EQ(f.edge_flows, flows) << where << " component " << c; + EXPECT_EQ(f.edge_drops, drops) << where << " component " << c; + ++c; + } + } + } + crossings += std::any_of(users.begin(), users.end(), [](const auto& u) { return u.second.size() > 1; }) ? 1 : 0; + ++checked; + if (::testing::Test::HasFailure()) return; + } + RecordProperty("checked", checked); + RecordProperty("cyclic", cyclic); + RecordProperty("errors", errors); + RecordProperty("dark", dark); + RecordProperty("crossings", crossings); + EXPECT_EQ(checked, 3000); +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_GT(cyclic, 20); // not vacuous: groups iterated +#endif + EXPECT_GT(dark, 100); + EXPECT_GT(crossings, 300); +} + +// The cycle rule's errors across demands, against the reference: D-C2 on the two-barrier cycle +// (A: X then Y, offer 1; B: Y then X, offer 2; V = 1, 2): period two at round 3; three barriers +// that never settle (two demands of 1 and 2): the round limit after 64 * 3 rounds. Nothing returns. +TEST(JointForwarding, CycleErrorsMatchTheReference) { + // CYC: e0 0->1 (X), e1 1->2, e2 1->5, e3 2->3 (Y), e4 3->0, e5 3->5, e6 4->0, e7 4->2. + const auto cyc = shared(make_graph(6, {{0, 1, 1, 1}, {1, 2, 1000, 1}, {1, 5, 1000, 1}, {2, 3, 2, 1}, {3, 0, 1000, 1}, + {3, 5, 1000, 1}, {4, 0, 1000, 1}, {4, 2, 1000, 1}})); + ASSERT_EQ(id_of_input(*cyc), (std::vector {0, 1, 2, 3, 4, 5, 6, 7})); + const std::vector t0 = {6, 0, 1, 3, 5}; + const std::vector t1 = {7, 3, 4, 0, 2}; + const Amounts cap {1, 1000, 1000, 2, 1000, 1000, 1000, 1000}; + const auto want = reference({{1, t0, {0, 0, 0}, {}}, {2, t1, {1, 0, 0}, {}}}, cap); + EXPECT_EQ(want.error, kPeriodTwo); + EXPECT_EQ(want.rounds, 3); + const auto b = build(*cyc, {{{4}, {1}, {{0, t0, 1}}, {}}, {{4}, {2}, {{0, t1, 1}}, {}}}, 5); + EXPECT_EQ(error_of([&] { (void)joint(*cyc, b, {{1}, {2}}); }), kPeriodTwo); +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(detail::thread_lossy_counters().rounds, 3); +#endif + const auto lim = shared(make_graph(8, {{0, 1, 1, 1}, {1, 4, 1000, 1}, {2, 3, 2, 1}, {3, 0, 1000, 1}, {3, 7, 1000, 1}, + {4, 5, 1, 1}, {5, 2, 1000, 1}, {5, 7, 1000, 1}, {6, 0, 1000, 1}, {6, 2, 1000, 1}})); + ASSERT_EQ(id_of_input(*lim), (std::vector {0, 1, 2, 3, 4, 5, 6, 7, 8, 9})); + const std::vector p0 = {8, 0, 1, 5, 6, 2, 4}; + const std::vector p1 = {9, 2, 3, 0, 1, 5, 7}; + const Amounts lcap {1, 1000, 2, 1000, 1000, 1, 1000, 1000, 1000, 1000}; + const auto limit = reference({{1, p0, {0, 0, 0}, {}}, {2, p1, {1, 0, 0}, {}}}, lcap); + EXPECT_EQ(limit.error, kRoundLimit); + EXPECT_EQ(limit.rounds, 192); + const auto lb = build(*lim, {{{6}, {1}, {{0, p0, 1}}, {}}, {{6}, {2}, {{0, p1, 1}}, {}}}, 7); + EXPECT_EQ(error_of([&] { (void)joint(*lim, lb, {{1}, {2}}); }), kRoundLimit); +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(detail::thread_lossy_counters().rounds, 192); +#endif +} + +// ---------------------------------------------------------------- hand-derived cases + +// The demand level above tunnels: A has two unit tunnels on link 0 (capacity 1), B one tunnel; offers 2 and 2. +// e0: H(1, (2, 2)) = (1, 0) by demand (A first), within A H(1, (1, 1)) = (1, 0): A's tunnel 0 gets +// the unit (flat over tunnels H(1, (1, 1, 2)) would give it to B). +TEST(JointForwarding, DemandLevelAboveTunnels) { + const auto g = shared(make_graph(2, {{0, 1, 1, 1}})); + const auto b = build(*g, {{{0}, {2}, {{0, {0}, 1}, {0, {0}, 1}}, {}}, {{0}, {2}, {{0, {0}, 1}}, {}}}, 1); + const auto got = joint(*g, b, {{2}, {2}}); + EXPECT_EQ(got[0].entries[0].delivered, 1); + EXPECT_EQ(got[0].entries[1].delivered, 0); + EXPECT_EQ(got[1].entries[0].delivered, 0); + EXPECT_EQ(got[1].entries[0].edge_drops, (Pairs {{0, 2}})); + // The demand order is the given order: B first takes the unit. + const Amounts two {2}; + const std::vector swapped {{b.views[1].get(), two}, {b.views[0].get(), two}}; + const auto other = detail::lossy(swapped, capacities(*g)); + EXPECT_EQ(other[0].entries[0].delivered, 1); + EXPECT_EQ(other[1].delivered, 0); +} + +// The demand level above sources: A's heads 1 and 2 (one unit each) against B's head 5 (2 units) on link 2 +// (capacity 1): H(1, (2, 2)) = (1, 0), within A H(1, (1, 1)) = (1, 0): head 1 delivers. +TEST(JointForwarding, DemandLevelAboveSources) { + const auto g = shared(make_graph(6, {{1, 3, 100, 1}, {2, 3, 100, 1}, {3, 4, 1, 1}, {5, 3, 100, 1}})); + ASSERT_EQ(id_of_input(*g), (std::vector {0, 1, 2, 3})); + const auto b = build(*g, {{{1, 2}, {1, 1}, {{0, {0, 2}, 1}, {1, {1, 2}, 1}}, {}}, {{5}, {2}, {{0, {3, 2}, 1}}, {}}}, 4); + const auto got = joint(*g, b, {{1, 1}, {2}}); + EXPECT_EQ(got[0].entries[0].delivered, 1); + EXPECT_EQ(got[0].entries[1].delivered, 0); + EXPECT_EQ(got[1].delivered, 0); +} + +// Link sums beyond 2^63: w = 2^62 - 1 per demand on one link; two, three and five +// demands: (5, 5) of 10, (4, 3, 3), (2, 2, 2, 2, 2) and with capacity 11 (3, 2, 2, 2, 2) (the +// extra unit to the first demand). Each drops the rest. +TEST(JointForwarding, LinkSumsBeyond64Bits) { + const Amount w = kL62 - 1; + for (const auto& [n, cap, want] : std::vector> { + {2, 10, {5, 5}}, {3, 10, {4, 3, 3}}, {5, 10, {2, 2, 2, 2, 2}}, {5, 11, {3, 2, 2, 2, 2}}}) { + const auto g = shared(make_graph(2, {{0, 1, cap, 1}})); + std::vector demands(static_cast(n), TunnelDemand {{0}, {w}, {{0, {0}, 1}}, {}}); + const auto b = build(*g, demands, 1); + const auto got = joint(*g, b, std::vector(static_cast(n), Amounts {w})); + for (int d = 0; d < n; ++d) { + EXPECT_EQ(got[static_cast(d)].delivered, want[static_cast(d)]) << n << " demands, demand " << d; + EXPECT_EQ(got[static_cast(d)].entries[0].edge_drops, (Pairs {{0, w - want[static_cast(d)]}})); + } + } +} + +// ---------------------------------------------------------------- pooled demands + +// A ShortestPaths program of `sources` to `dst` (pooled: one split context), prepared on a fresh +// ledger of g. +std::shared_ptr pooled_program(const std::shared_ptr& g, const std::vector& sources, + NodeId dst, RouteAllocation allocation = RouteAllocation::Equal) { + FlowLedger ledger(g); + FlowPolicy p(ledger, sources, std::vector {dst}, FlowPolicyConfig {.routing = shortest_paths(allocation), .admission = Admission::Lossy}); + (void)p.replace(0); + return p.program(); +} + +bool same_flow(const ProgramFlow& a, const ProgramFlow& b, const std::string& where) { + EXPECT_EQ(a.admitted, b.admitted) << where; + EXPECT_EQ(a.offered, b.offered) << where; + EXPECT_EQ(a.source_drops, b.source_drops) << where; + EXPECT_EQ(a.delivered, b.delivered) << where; + EXPECT_EQ(a.offered_by_source, b.offered_by_source) << where; + EXPECT_EQ(a.source_drops_by_source, b.source_drops_by_source) << where; + EXPECT_EQ(a.entries.size(), b.entries.size()) << where; + for (std::size_t e = 0; e < std::min(a.entries.size(), b.entries.size()); ++e) { + EXPECT_EQ(a.entries[e].assigned, b.entries[e].assigned) << where << " entry " << e; + EXPECT_EQ(a.entries[e].delivered, b.entries[e].delivered) << where << " entry " << e; + EXPECT_EQ(a.entries[e].source_drops, b.entries[e].source_drops) << where << " entry " << e; + EXPECT_EQ(a.entries[e].edge_flows, b.entries[e].edge_flows) << where << " entry " << e; + EXPECT_EQ(a.entries[e].edge_drops, b.entries[e].edge_drops) << where << " entry " << e; + } + return !::testing::Test::HasFailure(); +} + +// One pooled demand: ShortestPaths EQUAL and WEIGHTED programs and from_dag programs of +// three or four sources on random DAGs, with a random mask and random black holes, forwarded alone +// on the joint evaluator, equal the pooled kernel's forwarding field by field (per head: injection, +// source loss, delivery, carried and dropped per edge). +TEST(JointForwarding, OnePooledDemandEqualsTheKernel) { + std::mt19937 rng(5101); + int checked = 0; + int attributed = 0; // trials where some head both delivers and drops + int black = 0; + for (int trial = 0; trial < 400; ++trial) { + const std::int32_t n = 7; + const NodeId dst = n - 1; + std::vector rows; + for (NodeId u = 0; u < n; ++u) { + for (NodeId w = u + 1; w < n; ++w) { + if (rng() % 3 != 0) rows.push_back({u, w, static_cast(rng() % 6), 1 + static_cast(rng() % 2)}); + } + } + const auto g = shared(make_graph(n, rows)); + std::vector sources = {0, 1, 2}; + if (rng() % 2 == 0) sources.push_back(3); + std::shared_ptr prog; + const int kind = static_cast(rng() % 3); + if (kind < 2) { + prog = pooled_program(g, sources, dst, kind == 0 ? RouteAllocation::Equal : RouteAllocation::Weighted); + } else { + try { + prog = ForwardingProgram::from_dag(*g, sources, std::vector {dst}, all_edges(*g), RouteOptions {}); + } catch (const std::invalid_argument&) { + continue; + } + } + if (!prog || !detail::ProgramAccess::data(*prog).pools_source_inflows) continue; + std::shared_ptr mask; + if (rng() % 3 == 0) { + const std::vector masked {static_cast(rng() % g->num_edges())}; + mask = std::make_shared(g->eligibility({}, masked)); + } + std::shared_ptr dark; + if (rng() % 2 == 0) { + std::vector es {static_cast(rng() % g->num_edges())}; + if (rng() % 2 == 0) es.push_back(static_cast(rng() % g->num_edges())); + std::vector nodes; + if (rng() % 4 == 0) nodes.push_back(sources[rng() % sources.size()]); + dark = std::make_shared(g->eligibility(nodes, es)); + } + const auto view = detail::make_forwarding_view(*g, prog, mask.get(), vec(prog->destinations()), dark.get()); + if (!view.pooled) continue; + Amounts inject(view.num_sources()); + for (auto& x : inject) x = static_cast(rng() % 9); + const auto free = capacities(*g); + const auto kernel = detail::lossy(view, free, inject); + const detail::ForwardingDemand one {&view, inject}; + const auto got = detail::lossy(std::span(&one, 1), free); + ASSERT_EQ(got.size(), 1U); + if (!same_flow(got.front(), kernel, "trial " + std::to_string(trial))) return; + for (const auto& f : kernel.entries) attributed += f.delivered > 0 && !f.edge_drops.empty() ? 1 : 0; + black += dark ? 1 : 0; + ++checked; + } + RecordProperty("checked", checked); + EXPECT_GT(checked, 200); + EXPECT_GT(attributed, 50); + EXPECT_GT(black, 80); +} + +// An independent sweep of pooled and tunnel demands on one view: from zero carried, every sweep +// recomputes every arrival from the previous carried amounts (a tunnel's hop from its previous hop; +// a pooled router splits its heads' inflows' total by round robin or highest averages over its +// members' frozen weights and attributes each member's amount to the heads by highest averages over +// their remaining inflows, member by member) and every link's carried amounts by the loss rule over its +// non-dark arrivals (labels demand, head, entry); a dark arrival carries 0. It stops when a sweep +// changes nothing. When the dependencies are acyclic it reaches A+'s answer (depth by depth). It +// reads the plans' structure only; the splits and the rule are its own. +struct SweepPooled { + int demand {0}; + const PreparedRoute* plan {nullptr}; + std::vector root_positions; // per head (-1: no member) + Amounts shares; // per head + std::set dark; +}; +struct SweepTunnel { + int demand {0}; + int head {0}; + int index {0}; + Amount share {0}; + std::vector route; + std::set dark; +}; +struct SweepResult { + bool settled {false}; + std::vector>> pooled_carried; // per pooled demand, member, head + std::vector>> pooled_arrival; + std::vector tunnel_carried; + std::vector tunnel_arrival; + std::vector pooled_delivered; // per pooled demand, head +}; + +SweepResult sweep(const std::vector& pooled, const std::vector& tunnels, const Amounts& cap) { + SweepResult r; + r.pooled_carried.resize(pooled.size()); + r.pooled_arrival.resize(pooled.size()); + for (std::size_t q = 0; q < pooled.size(); ++q) { + const auto M = pooled[q].plan->forwarding_edges.size(); + r.pooled_carried[q].assign(M, Amounts(pooled[q].shares.size(), 0)); + r.pooled_arrival[q] = r.pooled_carried[q]; + } + r.tunnel_carried.resize(tunnels.size()); + r.tunnel_arrival.resize(tunnels.size()); + for (std::size_t t = 0; t < tunnels.size(); ++t) { + r.tunnel_carried[t].assign(tunnels[t].route.size(), 0); + r.tunnel_arrival[t] = r.tunnel_carried[t]; + } + for (int round = 0; round < 400; ++round) { + // Arrivals from the previous carried amounts. + for (std::size_t q = 0; q < pooled.size(); ++q) { + const auto& d = pooled[q]; + const auto& plan = *d.plan; + const std::size_t P = plan.topological_order.size(); + const std::size_t k = d.shares.size(); + std::vector in(P, Amounts(k, 0)); + for (std::size_t h = 0; h < k; ++h) { + if (d.root_positions[h] >= 0) in[static_cast(d.root_positions[h])][h] += d.shares[h]; + } + for (std::size_t m = 0; m < plan.forwarding_edges.size(); ++m) { + for (std::size_t h = 0; h < k; ++h) in[static_cast(plan.edge_destination_positions[m])][h] += r.pooled_carried[q][m][h]; + } + for (std::size_t pos = 0; pos < P; ++pos) { + if (plan.is_destination[pos] != 0) continue; + const auto b = static_cast(plan.outgoing_begin[pos]); + const auto e = static_cast(plan.outgoing_end[pos]); + Amount total = 0; + for (Amount x : in[pos]) total += x; + Amounts part; + if (plan.allocation == RouteAllocation::Weighted) { + part = ref::highest_averages(total, Amounts(plan.weights.begin() + static_cast(b), plan.weights.begin() + static_cast(e))); + } else { + part = ref::round_robin(total, e - b); + } + if (part.empty()) part.assign(e - b, 0); + Amounts remaining = in[pos]; + for (std::size_t m = b; m < e; ++m) { + auto row = ref::highest_averages(part[m - b], remaining); + if (row.empty()) row.assign(k, 0); + for (std::size_t h = 0; h < k; ++h) { + remaining[h] -= row[h]; + r.pooled_arrival[q][m][h] = row[h]; + } + } + } + } + for (std::size_t t = 0; t < tunnels.size(); ++t) { + for (std::size_t j = 0; j < tunnels[t].route.size(); ++j) r.tunnel_arrival[t][j] = j == 0 ? tunnels[t].share : r.tunnel_carried[t][j - 1]; + } + // Every link's rule over its non-dark arrivals, in (demand, head, entry) order. + struct Member { + std::tuple label; + Amount* carried; + Amount arrival; + }; + std::map> links; + auto next_pc = r.pooled_carried; + auto next_tc = r.tunnel_carried; + for (std::size_t q = 0; q < pooled.size(); ++q) { + const auto& plan = *pooled[q].plan; + for (std::size_t m = 0; m < plan.forwarding_edges.size(); ++m) { + const EdgeId e = plan.forwarding_edges[m]; + for (std::size_t h = 0; h < pooled[q].shares.size(); ++h) { + if (pooled[q].dark.count(e) != 0) { + next_pc[q][m][h] = 0; + continue; + } + links[e].push_back({{pooled[q].demand, static_cast(h), 0}, &next_pc[q][m][h], r.pooled_arrival[q][m][h]}); + } + } + } + for (std::size_t t = 0; t < tunnels.size(); ++t) { + for (std::size_t j = 0; j < tunnels[t].route.size(); ++j) { + const EdgeId e = tunnels[t].route[j]; + if (tunnels[t].dark.count(e) != 0) { + next_tc[t][j] = 0; + continue; + } + links[e].push_back({{tunnels[t].demand, tunnels[t].head, tunnels[t].index}, &next_tc[t][j], r.tunnel_arrival[t][j]}); + } + } + for (auto& [e, members] : links) { + std::stable_sort(members.begin(), members.end(), [](const Member& a, const Member& b) { return a.label < b.label; }); + Amounts w; + std::vector> labels; + Amount sum = 0; + for (const auto& x : members) { + w.push_back(x.arrival); + labels.push_back(x.label); + sum += x.arrival; + } + const auto c = hierarchical(std::min(cap[static_cast(e)], sum), w, labels); + for (std::size_t i = 0; i < members.size(); ++i) *members[i].carried = c[i]; + } + const bool same = next_pc == r.pooled_carried && next_tc == r.tunnel_carried && round > 0; + r.pooled_carried = std::move(next_pc); + r.tunnel_carried = std::move(next_tc); + if (same) { + r.settled = true; + break; + } + } + r.pooled_delivered.resize(pooled.size()); + for (std::size_t q = 0; q < pooled.size(); ++q) { + const auto& plan = *pooled[q].plan; + r.pooled_delivered[q].assign(pooled[q].shares.size(), 0); + for (std::size_t m = 0; m < plan.forwarding_edges.size(); ++m) { + if (plan.is_destination[static_cast(plan.edge_destination_positions[m])] == 0) continue; + for (std::size_t h = 0; h < pooled[q].shares.size(); ++h) r.pooled_delivered[q][h] += r.pooled_carried[q][m][h]; + } + } + return r; +} + +// Random pooled demands (ShortestPaths EQUAL or WEIGHTED, two or three sources) beside random +// tunnel demands on random DAGs, each demand with its own black holes, in random creation orders, +// against the sweep wherever the evaluation needs no rounds: every head's and tunnel's arrivals, +// carried amounts and deliveries. +TEST(JointForwarding, PooledAndTunnelDemandsMatchASweep) { + std::mt19937 rng(77); + int checked = 0; + int shared_pooled = 0; // trials where a pooled member carries another demand too + int attributed = 0; // trials where a pooled head drops while another delivers + for (int trial = 0; trial < 600; ++trial) { + const std::int32_t n = 7; + const NodeId dst = n - 1; + std::vector rows; + for (NodeId u = 0; u < n; ++u) { + for (NodeId w = u + 1; w < n; ++w) { + if (rng() % 3 != 0) rows.push_back({u, w, static_cast(rng() % 5), 1 + static_cast(rng() % 2)}); + } + } + const auto g = shared(make_graph(n, rows)); + const Amounts cap(g->edge_capacity_units().begin(), g->edge_capacity_units().end()); + // Each demand: pooled (kind 0) or tunnels (kind 1). + const int D = 2 + static_cast(rng() % 3); + std::vector> programs; + std::vector> black; + std::vector> views; + std::vector injections; + std::vector sp; + std::vector st; + std::vector kind; + bool skip = false; + for (int d = 0; d < D && !skip; ++d) { + std::vector dark_edges; + if (rng() % 3 == 0) dark_edges.push_back(static_cast(rng() % g->num_edges())); + black.push_back(dark_edges.empty() ? nullptr : std::make_shared(g->eligibility({}, dark_edges))); + const std::set dark_set(dark_edges.begin(), dark_edges.end()); + if (rng() % 2 == 0) { + std::vector sources = {0, 1}; + if (rng() % 2 == 0) sources.push_back(2); + programs.push_back(pooled_program(g, sources, dst, rng() % 2 == 0 ? RouteAllocation::Equal : RouteAllocation::Weighted)); + views.push_back(std::make_unique( + detail::make_forwarding_view(*g, programs.back(), nullptr, std::vector {dst}, black.back().get()))); + if (!views.back()->pooled) { + skip = true; + break; + } + Amounts inj(views.back()->num_sources()); + for (auto& x : inj) x = static_cast(rng() % 9); + SweepPooled q; + q.demand = d; + q.plan = views.back()->prepared_route(0).get(); + for (std::size_t h = 0; h < inj.size(); ++h) { + const auto e = static_cast(views.back()->entries_for_source(h).front()); + const auto rr = views.back()->context_source_index(e); + q.root_positions.push_back(rr < 0 ? -1 : q.plan->source_positions[static_cast(rr)]); + } + q.shares = inj; + q.dark = dark_set; + sp.push_back(q); + injections.push_back(inj); + kind.push_back(0); + continue; + } + // One or two tunnels from a random head to dst along random paths of the DAG. + const NodeId head = static_cast(rng() % 3); + std::vector routes; + const int nt = 1 + static_cast(rng() % 2); + Amounts weights; + std::vector> paths; + for (int t = 0; t < nt; ++t) { + std::vector path; + NodeId u = head; + while (u != dst) { + std::vector out; + for (EdgeId e = 0; e < g->num_edges(); ++e) { + if (g->edge_sources()[static_cast(e)] == u) out.push_back(e); + } + if (out.empty()) break; + const EdgeId e = out[rng() % out.size()]; + path.push_back(e); + u = g->edge_destinations()[static_cast(e)]; + } + if (u != dst || path.empty()) continue; + std::vector> hops; + for (EdgeId e : path) hops.push_back({e}); + weights.push_back(1 + static_cast(rng() % 3)); + routes.push_back(RouteDefinition {head, std::make_shared(*g, hops), weights.back()}); + paths.push_back(path); + } + if (routes.empty()) { + skip = true; + break; + } + programs.push_back(ForwardingProgram::from_routes(*g, std::vector {head}, std::vector {dst}, routes)); + views.push_back(std::make_unique( + detail::make_forwarding_view(*g, programs.back(), nullptr, std::vector {dst}, black.back().get()))); + const Amount x = static_cast(rng() % 9); + injections.push_back({x}); + const auto split = ref::highest_averages(x, weights); + for (std::size_t t = 0; t < paths.size(); ++t) st.push_back({d, 0, static_cast(t), split[t], paths[t], dark_set}); + kind.push_back(1); + } + if (skip) continue; + std::vector demands; + for (std::size_t d = 0; d < views.size(); ++d) demands.push_back({views[d].get(), injections[d]}); + const auto got = detail::lossy(demands, capacities(*g)); +#if NETGRAPH_CORE_PRIVATE_HOOKS + if (detail::thread_lossy_counters().groups != 0) continue; +#endif + const auto want = sweep(sp, st, cap); + ASSERT_TRUE(want.settled) << "trial " << trial; + const std::string where = "trial " + std::to_string(trial); + std::size_t qi = 0; + std::size_t ti = 0; + std::map> users; + for (std::size_t d = 0; d < views.size(); ++d) { + if (kind[d] == 0) { + const auto& plan = *sp[qi].plan; + bool drops = false; + bool delivers = false; + for (std::size_t h = 0; h < sp[qi].shares.size(); ++h) { + const auto& f = got[d].entries[static_cast(views[d]->entries_for_source(h).front())]; + Pairs flows; + Pairs dr; + for (std::size_t m = 0; m < plan.forwarding_edges.size(); ++m) { + const Amount c = want.pooled_carried[qi][m][h]; + const Amount a = want.pooled_arrival[qi][m][h]; + if (c != 0) { + flows.emplace_back(plan.forwarding_edges[m], c); + users[plan.forwarding_edges[m]].insert(static_cast(d)); + } + if (a != c) dr.emplace_back(plan.forwarding_edges[m], a - c); + } + EXPECT_EQ(f.edge_flows, flows) << where << " demand " << d << " head " << h; + EXPECT_EQ(f.edge_drops, dr) << where << " demand " << d << " head " << h; + EXPECT_EQ(f.delivered, want.pooled_delivered[qi][h]) << where << " demand " << d << " head " << h; + drops = drops || !dr.empty(); + delivers = delivers || f.delivered > 0; + } + attributed += drops && delivers ? 1 : 0; + ++qi; + continue; + } + for (std::size_t t = 0; ti < st.size() && st[ti].demand == static_cast(d); ++t, ++ti) { + const auto& f = got[d].entries[t]; + Pairs flows; + Pairs dr; + for (std::size_t j = 0; j < st[ti].route.size(); ++j) { + if (want.tunnel_carried[ti][j] != 0) { + flows.emplace_back(st[ti].route[j], want.tunnel_carried[ti][j]); + users[st[ti].route[j]].insert(static_cast(d)); + } + if (want.tunnel_arrival[ti][j] != want.tunnel_carried[ti][j]) dr.emplace_back(st[ti].route[j], want.tunnel_arrival[ti][j] - want.tunnel_carried[ti][j]); + } + std::sort(flows.begin(), flows.end()); + std::sort(dr.begin(), dr.end()); + EXPECT_EQ(f.edge_flows, flows) << where << " demand " << d << " tunnel " << t; + EXPECT_EQ(f.edge_drops, dr) << where << " demand " << d << " tunnel " << t; + EXPECT_EQ(f.delivered, want.tunnel_carried[ti].empty() ? st[ti].share : want.tunnel_carried[ti].back()) << where; + } + } + for (const auto& q : sp) { + for (EdgeId e : q.plan->forwarding_edges) { + if (users[e].size() > 1) { + ++shared_pooled; + break; + } + } + } + ++checked; + if (::testing::Test::HasFailure()) return; + } + RecordProperty("checked", checked); + RecordProperty("shared_pooled", shared_pooled); + RecordProperty("attributed", attributed); + EXPECT_GT(checked, 250); + EXPECT_GT(shared_pooled, 100); + EXPECT_GT(attributed, 50); +} + +// A pooled demand shares a link with a tunnel. G7: e0 0->2, e1 1->2, e2 2->3 (1), e3 2->3, e4 +// 4->2 (all others wide); A pooled sources {0, 1} -> 3 (RR(2, 2) = (1, 1)), B tunnel [e4, e2] (2). +// Node 2 splits A's 2 as (1, 1) over e2, e3; e2: A 1, B 2, capacity 1: by demand H(1, (1, 2)) = +// (0, 1); e3 carries A's 1. Attribution at node 2: e2's unit to source 0 (H(1, (1, 1))), e3's to +// source 1. +TEST(JointForwarding, PooledDemandSharesALink) { + const auto g = shared(make_graph(5, {{0, 2, 100, 1}, {1, 2, 100, 1}, {2, 3, 1, 1}, {2, 3, 100, 1}, {4, 2, 100, 1}})); + ASSERT_EQ(id_of_input(*g), (std::vector {0, 1, 2, 3, 4})); + const auto a = pooled_program(g, {0, 1}, 3); + ASSERT_TRUE(detail::ProgramAccess::data(*a).pools_source_inflows); + const auto va = detail::make_forwarding_view(*g, a, nullptr, std::vector {3}, nullptr); + const auto bp = build(*g, {{{4}, {2}, {{0, {4, 2}, 1}}, {}}}, 3); + const Amounts ia {1, 1}; + const Amounts ib {2}; + const std::vector demands {{&va, ia}, {bp.views[0].get(), ib}}; + const auto got = detail::lossy(demands, capacities(*g)); + EXPECT_EQ(got[0].delivered, 1); + EXPECT_EQ(got[0].entries[0].delivered, 0); + EXPECT_EQ(got[0].entries[0].edge_flows, (Pairs {{0, 1}})); + EXPECT_EQ(got[0].entries[0].edge_drops, (Pairs {{2, 1}})); + EXPECT_EQ(got[0].entries[1].delivered, 1); + EXPECT_EQ(got[0].entries[1].edge_flows, (Pairs {{1, 1}, {3, 1}})); + EXPECT_TRUE(got[0].entries[1].edge_drops.empty()); + EXPECT_EQ(got[1].delivered, 1); + EXPECT_EQ(got[1].entries[0].edge_drops, (Pairs {{2, 1}})); +} + +// Every root is an injection. Chain 0->1->2->3 of capacity 2, a pooled demand of sources {0, +// 1, 2} with shares (2, 2, 2): arrivals (2, 4, 4), carries (2, 2, 2); neither (e0, e1) nor (e1, e2) +// is a transparent pair (nodes 1 and 2 inject). Per source: e1 carries H(2, (2, 2)) = (1, 1), e2 +// H(2, (1, 1, 2)) = (1, 0, 1): delivered (1, 0, 1). Alone and beside a demand on a disjoint link, +// equal to the kernel. +TEST(JointForwarding, PooledRootsBlockSerialPairs) { + const auto g = shared(make_graph(6, {{0, 1, 2, 1}, {1, 2, 2, 1}, {2, 3, 2, 1}, {4, 5, 1, 1}})); + const auto a = pooled_program(g, {0, 1, 2}, 3); + const auto va = detail::make_forwarding_view(*g, a, nullptr, std::vector {3}, nullptr); + const Amounts ia {2, 2, 2}; + const auto kernel = detail::lossy(va, capacities(*g), ia); + EXPECT_EQ(kernel.delivered, 2); + const detail::ForwardingDemand alone {&va, ia}; + const auto one = detail::lossy(std::span(&alone, 1), capacities(*g)); + same_flow(one.front(), kernel, "alone"); + EXPECT_EQ(one.front().entries[0].delivered, 1); + EXPECT_EQ(one.front().entries[1].delivered, 0); + EXPECT_EQ(one.front().entries[2].delivered, 1); + const auto other = build(*g, {{{4}, {3}, {{0, {3}, 1}}, {}}}, 5); + const Amounts io {3}; + const std::vector both {{&va, ia}, {other.views[0].get(), io}}; + const auto two = detail::lossy(both, capacities(*g)); + same_flow(two.front(), kernel, "beside another demand"); + EXPECT_EQ(two[1].delivered, 1); +} + +// The source-labelled round state. E = e0 0->1 (1), F = e1 2->3 (1); wide e2 4->0, e3 1->2, e4 +// 5->2, e5 3->6, e6 7->2, e7 3->0, e8 1->8. A pooled sources {4, 5} -> 6 (offer 2: one each), B a +// tunnel [e6, e1, e7, e0, e8] from 7 to 8 (offer 1). One cyclic group {E, F}; the state (E: A4, B; +// F: A4, A5, B) settles at round 3 (x1 ((1, 0), (0, 1, 0)), x2 = x3 ((1, 0), (1, 0, 0))), while +// per-demand aggregates would repeat at round 2. A delivers 1 (source 4), source 5 drops 1 on F; B +// drops 1 on F. +TEST(JointForwarding, PooledCycleKeepsSourceState) { + const auto g = shared(make_graph(9, {{0, 1, 1, 1}, + {2, 3, 1, 1}, + {4, 0, 100, 1}, + {1, 2, 100, 1}, + {5, 2, 100, 1}, + {3, 6, 100, 1}, + {7, 2, 100, 1}, + {3, 0, 100, 1}, + {1, 8, 100, 1}})); + const auto id = id_of_input(*g); + auto ids = [&](std::vector in) { + std::vector out; + for (auto i : in) out.push_back(id[static_cast(i)]); + return out; + }; + const auto a = pooled_program(g, {4, 5}, 6); + ASSERT_TRUE(detail::ProgramAccess::data(*a).pools_source_inflows); + const auto va = detail::make_forwarding_view(*g, a, nullptr, std::vector {6}, nullptr); + const auto bp = build(*g, {{{7}, {1}, {{0, ids({6, 1, 7, 0, 8}), 1}}, {}}}, 8); + const Amounts ia {1, 1}; + const Amounts ib {1}; + const std::vector demands {{&va, ia}, {bp.views[0].get(), ib}}; + const auto got = detail::lossy(demands, capacities(*g)); +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(detail::thread_lossy_counters().groups, 1); + EXPECT_EQ(detail::thread_lossy_counters().rounds, 3); +#endif + EXPECT_EQ(got[0].delivered, 1); + EXPECT_EQ(got[0].entries[0].delivered, 1); + EXPECT_EQ(got[0].entries[1].delivered, 0); + EXPECT_EQ(got[0].entries[1].edge_drops, (Pairs {{id[1], 1}})); + EXPECT_EQ(got[1].delivered, 0); + EXPECT_EQ(got[1].entries[0].edge_drops, (Pairs {{id[1], 1}})); +} + +} // namespace diff --git a/tests/cpp/program_tests.cpp b/tests/cpp/program_tests.cpp index c2d12d7..c66a7fd 100644 --- a/tests/cpp/program_tests.cpp +++ b/tests/cpp/program_tests.cpp @@ -1017,6 +1017,104 @@ TEST(ProgramCycles, SubdivisionInvariant) { EXPECT_EQ(error_of([&] { (void)p->replace(3); }), kPeriodTwo); } +// A scalar call's black holes add no barrier: STALE-black-hole-in-cycle's graph (input rows 0 to +// 18, the example's EdgeIds there) with one head S = 17 feeding its four tunnels (wide rows 19 to +// 22) and wide exits from each tunnel's end to one destination 18 (rows 23 to 25), so every tunnel +// ends at the destination; one Pinned LOSSY program of four tunnels, weights 13, 11, 10, 5, and +// replace(39) (the heads' amounts 13, 11, 10, 5), black holes on rows 2, 6 and 17. Tunnels 0 and 3 +// reach a black hole (BLACKHOLED); their arrivals there are dropped without a barrier, so the cyclic +// group keeps its four physical barriers: the round-limit error after 64 * 4 = 256 rounds (the old +// form, a black-holed link at capacity 0 inside the group, made a fifth barrier: 320). Without the +// black holes the same call settles. LOSSLESS keeps its bound: a black-holed link serves 0, so the bound is +// 0 (tunnel 0, on a black hole, takes the first unit). +TEST(ProgramCycles, BlackHolesAddNoBarrier) { + const std::vector rows = { + {0, 1, 12, 1}, {1, 6, 1000, 1}, {1, 16, 1000, 1}, {2, 3, 9, 1}, {3, 0, 1000, 1}, {3, 10, 1000, 1}, + {4, 5, 7, 1}, {5, 6, 1000, 1}, {6, 7, 13, 1}, {7, 2, 1000, 1}, {7, 10, 1000, 1}, {8, 9, 1, 1}, + {10, 11, 10, 1}, {11, 2, 1000, 1}, {12, 4, 1000, 1}, {13, 6, 1000, 1}, {14, 0, 1000, 1}, {15, 0, 1000, 1}, + {16, 2, 1000, 1}, {17, 12, 1000, 1}, {17, 13, 1000, 1}, {17, 14, 1000, 1}, {17, 15, 1000, 1}, + {11, 18, 1000, 1}, {1, 18, 1000, 1}, {7, 18, 1000, 1}}; + const auto g = shared(make_graph(19, rows)); + const auto id = id_of_input(*g); + auto ids = [&](std::vector in) { + std::vector out; + for (auto i : in) out.push_back(id[static_cast(i)]); + return out; + }; + const std::vector specs = {{17, ids({19, 14, 6, 7, 8, 9, 3, 5, 12, 23}), 13}, + {17, ids({20, 15, 8, 10, 12, 13, 3, 4, 0, 24}), 11}, + {17, ids({21, 16, 0, 1, 8, 25}), 10}, + {17, ids({22, 17, 0, 2, 18, 3, 5, 12, 23}), 5}}; + const auto prog = tunnels(*g, {17}, {18}, specs); + const auto black = no_edges(*g, ids({2, 6, 17})); + auto stale = pinned(g, prog, LOSSY, nullptr, black); + const auto ledger = ledger_state(*stale.ledger); + EXPECT_EQ(error_of([&] { (void)stale->replace(39); }), kRoundLimit); +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(detail::thread_lossy_counters().groups, 1); + EXPECT_EQ(detail::thread_lossy_counters().rounds, 256); +#endif + expect_same(ledger_state(*stale.ledger), ledger, "the round-limit error"); + EXPECT_EQ(stale->program(), nullptr); + // The statuses of the same program forwarded where it settles (a smaller offer). + const auto settled = stale->evaluate(4); + ASSERT_EQ(settled.by_tunnel.size(), 4U); + EXPECT_EQ(settled.by_tunnel[0].status, BLACKHOLED); + EXPECT_EQ(settled.by_tunnel[1].status, UP); + EXPECT_EQ(settled.by_tunnel[2].status, UP); + EXPECT_EQ(settled.by_tunnel[3].status, BLACKHOLED); + // Control: without black holes the call settles. + EXPECT_NO_THROW((void)pinned(g, prog, LOSSY)->replace(39)); + // LOSSLESS: a black-holed link serves 0. + EXPECT_EQ(pinned(g, prog, LOSSLESS, nullptr, black)->evaluate(INF).call_delivered, 0); +} + +// A tunnel whose share is 0 adds no wait, in a scalar call too: one Pinned LOSSY program, sources +// sA, sB; sA's tunnels A (X, L0, L1; weight 100) and Z (L0, X; weight w), sB's tunnel B (L1, L0). +// replace(4): RR gives each head 2, H(2, [100, 1]) gives Z 0. The period-2 error at round 3 with Z +// at weight 0 (not forwarded) and at weight 1 (forwarded with share 0) alike. +TEST(ProgramCycles, ZeroShareTunnelAddsNoWait) { + // sA 0, sB 1, n1..n6 2..7, dA 8, dB 9, dZ 10; rows X, L0, L1 first. + const auto g = shared(make_graph(11, {{2, 3, 1, 1}, {4, 5, 1, 1}, {6, 7, 2, 1}, {0, 2, 100, 1}, {3, 4, 100, 1}, + {5, 6, 100, 1}, {7, 8, 100, 1}, {1, 6, 100, 1}, {7, 4, 100, 1}, {5, 9, 100, 1}, + {0, 4, 100, 1}, {5, 2, 100, 1}, {3, 10, 100, 1}})); + const auto id = id_of_input(*g); + auto ids = [&](std::vector in) { + std::vector out; + for (int i : in) out.push_back(id[static_cast(i)]); + return out; + }; + for (Amount z : {0, 1}) { + const auto prog = tunnels(*g, {0, 1}, {8, 9, 10}, + {{0, ids({3, 0, 4, 1, 5, 2, 6}), 100}, {0, ids({10, 1, 11, 0, 12}), z}, {1, ids({7, 2, 8, 1, 9}), 1}}); + auto p = pinned(g, prog, LOSSY); + EXPECT_EQ(error_of([&] { (void)p->replace(4); }), kPeriodTwo) << "Z weight " << z; +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(detail::thread_lossy_counters().rounds, 3) << "Z weight " << z; +#endif + } +} + +// The LOSSLESS search probes totals up to the first links' capacity: here 3 * 2^60 - 1 over two +// tunnels that share edge 2 (0 -> 1 -> 3 and 0 -> 2 -> 1 -> 3, round robin), so the first probe's +// link sums take the saturating no-drop pass (a total of 2^61 or more on a link shared twice) and +// the later probes the plain one; the bound is the shared edge's 10 either way. LOSSY forwarding of +// a (2^60 and 2^60 - 1 per tunnel): edge 3 (2^40) drops 2^60 - 1 - 2^40 of tunnel 1, edge 2 gives +// its 10 to tunnel 0 (highest averages over 2^60 and 2^40) and drops the rest. +TEST(LosslessBound, WideFirstLinksProbeBothSums) { + const Amount a = (Amount {1} << 61) - 1; + const Amount b = Amount {1} << 60; + const auto g = shared(make_graph(4, {{0, 1, a, 1}, {0, 2, b, 1}, {1, 3, 10, 1}, {2, 1, Amount {1} << 40, 1}})); + const auto prog = tunnels(*g, {0}, {3}, {{0, {0, 2}, 1}, {0, {1, 3, 2}, 1}}); + const auto lossless = pinned(g, prog, LOSSLESS)->evaluate(INF); + EXPECT_EQ(lossless.call_delivered, 10); + EXPECT_EQ(rows(lossless), (Rows {{0, 0, UP, 5, 5, 0}, {1, 0, UP, 5, 5, 0}})); + const auto lossy = pinned(g, prog, LOSSY)->replace(a); + EXPECT_EQ(lossy.call_delivered, 10); + EXPECT_EQ(lossy.call_edge_drops, (std::vector> {{2, b - 10 + (Amount {1} << 40)}, {3, b - 1 - (Amount {1} << 40)}})); + EXPECT_EQ(rows(lossy), (Rows {{0, 0, UP, b, 10, b - 10}, {1, 0, UP, b - 1, 0, b - 1}})); +} + #if NETGRAPH_CORE_PRIVATE_HOOKS // Through the hook: an iterated result corrupted after its rounds fails the independent check // with std::runtime_error, and nothing is published. diff --git a/tests/cpp/public_names_tests.cpp b/tests/cpp/public_names_tests.cpp index 17b8c61..1489346 100644 --- a/tests/cpp/public_names_tests.cpp +++ b/tests/cpp/public_names_tests.cpp @@ -6,7 +6,9 @@ #include #include +#include #include +#include #include #include "netgraph/core/eligibility.hpp" @@ -103,6 +105,16 @@ static_assert(requires(const Graph& g, std::span s, const Evaluati static_assert(requires(const Graph& g, std::span s, std::shared_ptr dag) { ForwardingProgram::from_dag(g, s, s, dag); }); +// The list operation: its actions, their variant and the call. +static_assert(std::is_aggregate_v && std::is_aggregate_v && std::is_aggregate_v); +static_assert(std::is_same_v>); +static_assert(requires(Place x) { x.policy; x.offer; }); +static_assert(requires(Replace x) { x.policy; x.offer; x.design_demand; }); +static_assert(requires(Forward x) { x.policy; x.offer; x.black_holes; }); +static_assert(requires(FlowLedger& f, std::span a, const OutputOptions& o) { + { apply_actions(f, a) } -> std::same_as>; + apply_actions(f, a, BatchMode::Simultaneous, o); +}); } // namespace @@ -128,6 +140,7 @@ TEST(PublicNames, Enumerations) { static_assert(declared_in_order({WeightBasis::Capacity, WeightBasis::Explicit, WeightBasis::ResidualSnapshot})); static_assert(declared_in_order({Admission::Lossless, Admission::Lossy})); static_assert(declared_in_order({Direction::Forward, Direction::Reverse})); + static_assert(declared_in_order({BatchMode::Ordered, BatchMode::Simultaneous})); static_assert(static_cast(TunnelStatus::Up) == 0 && static_cast(TunnelStatus::InsufficientBandwidth) == 1 && static_cast(TunnelStatus::CostCeilingExceeded) == 2 && static_cast(TunnelStatus::Failed) == 3 && static_cast(TunnelStatus::Blackholed) == 4); diff --git a/tests/py/contract_api.py b/tests/py/contract_api.py index f8019cb..9dfb2b4 100644 --- a/tests/py/contract_api.py +++ b/tests/py/contract_api.py @@ -7,6 +7,7 @@ CONTRACT_API = { "AbsoluteCost": {"__init__": [[("cost", "pos", None)]], "cost": "attribute"}, "Admission": {"LOSSLESS": "attribute", "LOSSY": "attribute"}, + "BatchMode": {"ORDERED": "attribute", "SIMULTANEOUS": "attribute"}, "CentralizedTE": { "__init__": [ [ @@ -155,6 +156,18 @@ "route": "attribute", "sources": "attribute", }, + "Forward": { + "__init__": [ + [ + ("policy", "pos", None), + ("offer", "pos", None), + ("black_holes", "kw", "None"), + ] + ], + "black_holes": "attribute", + "offer": "attribute", + "policy": "attribute", + }, "ForwardingProgram": { "__init__": [[("_no_public_constructor", "pos", None)]], "destinations": "attribute", @@ -260,6 +273,11 @@ "black_holes": "attribute", "program": "attribute", }, + "Place": { + "__init__": [[("policy", "pos", None), ("offer", "pos", None)]], + "offer": "attribute", + "policy": "attribute", + }, "PlacementResult": { "__init__": [[("_no_public_constructor", "pos", None)]], "admitted": "attribute", @@ -305,6 +323,18 @@ "parents": "declared", "via_edges": "declared", }, + "Replace": { + "__init__": [ + [ + ("policy", "pos", None), + ("offer", "pos", None), + ("design_demand", "kw", "None"), + ] + ], + "design_demand": "attribute", + "offer": "attribute", + "policy": "attribute", + }, "RouteAllocation": { "EQUAL": "attribute", "OPTIMIZED": "attribute", @@ -460,6 +490,16 @@ "EXPLICIT": "attribute", "RESIDUAL_SNAPSHOT": "attribute", }, + "apply_actions": { + "__call__": [ + [ + ("ledger", "pos", None), + ("actions", "pos", None), + ("mode", "kw", "BatchMode.ORDERED"), + ("outputs", "kw", "None"), + ] + ] + }, "as_float": {"__call__": [[("x", "pos", None), ("resolution", "pos", None)]]}, "evaluate_demand": { "__call__": [ diff --git a/tests/py/removed_names_reviewed.txt b/tests/py/removed_names_reviewed.txt index 89bbb8f..e798b53 100644 --- a/tests/py/removed_names_reviewed.txt +++ b/tests/py/removed_names_reviewed.txt @@ -658,3 +658,15 @@ docs/semantics.md | allocated | event structures are allocated. Either refusal c include/netgraph/core/detail/forwarding.hpp | allocated | before the network is allocated; | allocated memory, storage or amounts include/netgraph/core/detail/forwarding.hpp | allocated | structures are allocated. Either refusal changes nothing. | allocated memory, storage or amounts tests/cpp/program_tests.cpp | allocated | is allocated, the event and dependency counts before the event | allocated memory, storage or amounts +bindings/python/hooks.cpp | allocated | allocated). | allocated memory, storage or amounts +dev/perf/README.md | tunnels | the ring's 64 tunnels as 64 policies in one SIMULTANEOUS list | a model's tunnels (ForwardingProgram.tunnels is the current name) +src/forwarding.cpp | allocated | A pooled context's counts before anything of the network is allocated | allocated memory, storage or amounts +tests/cpp/apply_actions_fault_tests.cpp | allocated | epoch are as before the call, the aggregate is balanced, nothing is left allocated | allocated memory, storage or amounts +tests/cpp/apply_actions_fault_tests.cpp | allocated | of the call, a publication that allocated after the ledger's exchange | allocated memory, storage or amounts +tests/cpp/joint_forwarding_tests.cpp | dst | A ShortestPaths program of `sources` to `dst` | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) +tests/cpp/joint_forwarding_tests.cpp | dst | A random simple walk from h over inner nodes | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) +tests/cpp/joint_forwarding_tests.cpp | dst | One or two tunnels from a random head to dst | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) +tests/cpp/joint_forwarding_tests.cpp | g | ledger of g. | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) +tests/cpp/program_tests.cpp | Tunnels | black holes on rows 2, 6 and 17. Tunnels 0 and 3 | a model's tunnels (ForwardingProgram.tunnels is the current name) +tests/py/test_apply_actions.py | g | alike). g: the first copy's graph | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) +tests/py/test_programs.py | Tunnels | on rows 2, 6 and 17. Tunnels 0 and 3 reach a black hole | a model's tunnels (ForwardingProgram.tunnels is the current name) diff --git a/tests/py/test_apply_actions.py b/tests/py/test_apply_actions.py new file mode 100644 index 0000000..127686b --- /dev/null +++ b/tests/py/test_apply_actions.py @@ -0,0 +1,1682 @@ +"""apply_actions: several policies of one ledger in one operation (docs/semantics.md, "Several +demands at once"). The action values and the call's conversions (the types first, in argument +order, then the list's checks in list order; a refusal changes nothing), ORDERED as the same +scalar calls on a private working state, SIMULTANEOUS on one view with the losses shared across +the demands, per-entry outputs, the all-or-nothing sweeps of a list's Python allocations and the +forwarding size limits counted over the whole list. Hand-derived values on small graphs (EdgeIds +equal input positions unless mapped); two seeded generators compare an ORDERED list with the same +scalar calls, and a SIMULTANEOUS participant with its scalar call, on an identical world.""" + +from __future__ import annotations + +import gc +import random +import weakref +from fractions import Fraction + +import _netgraph_core as ext +import numpy as np +import pytest +from helpers import ( + INF, + L62, + assert_read_only, + build, + centralized, + config, + dag_of, + exact, + full_ledger_state, + ledger_state, + plain, + shortest, + sweep_python_allocation, + t1_config, +) +from private_hooks import HOOKS, needs_hooks + +import netgraph_core as ngc + +LY = ngc.Admission.LOSSY +LL = ngc.Admission.LOSSLESS +ORDERED = ngc.BatchMode.ORDERED +SIMULTANEOUS = ngc.BatchMode.SIMULTANEOUS +W62 = L62 - 1 +OFFER = "offer must be an integer in [0, 2^62) or permitted +inf" +PERIOD_TWO = "lossy forwarding iteration entered a period-2 cycle" +ROUND_LIMIT = ( + "lossy forwarding iteration did not reach a fixed point within the round limit" +) +ALL = ngc.OutputOptions( + edge_flows=True, + residual=True, + saturated_boundary_edges=True, + edge_reservations=True, +) +UP = ngc.TunnelStatus.UP +BLACKHOLED = ngc.TunnelStatus.BLACKHOLED + + +def graph(n, rows): + """A Graph from (u, v, capacity, cost) rows written in EdgeId order (checked).""" + g = build(n, rows) + assert [int(i) for i in g.input_positions()] == list(range(len(rows))) + return g + + +def mapped(n, rows): + """A Graph from rows in any order and the EdgeId of each input row.""" + g = build(n, rows) + ids = [0] * len(rows) + for e, p in enumerate(g.input_positions()): + ids[int(p)] = e + return g, ids + + +def ecmp(admission=LY): + return config(ngc.ShortestPaths(), admission=admission) + + +def t1(admission=LY): + return t1_config(1, admission) + + +def t2(admission=LY): + return config(centralized(tunnel_count=ngc.TunnelCount(1)), admission=admission) + + +def controller(admission=LL): + return config(centralized(), admission=admission) + + +def tunnels(g, sources, destinations, specs): + """A supplied program of tunnels: specs are (head, [EdgeIds in path order], weight).""" + routes = [ + ngc.RouteDefinition(h, ngc.Path(g, [[e] for e in es]), weight=w) + for h, es, w in specs + ] + return ngc.ForwardingProgram.from_routes(g, sources, destinations, routes) + + +def tunnel(g, s, d, edges, weight=1): + return tunnels(g, [s], [d], [(s, edges, weight)]) + + +def no_edges(g, edges): + return g.eligibility(excluded_edges=edges) + + +def no_nodes(g, nodes): + return g.eligibility(excluded_nodes=nodes) + + +def policy_state(p): + """A policy's state without object identities: its delivery, its records' local ids and + flows, its program and (private hooks) its epoch.""" + out = [ + p.delivered(), + [(r.flow_id[1], r.delivered, r.edge_flows, r.edge_drops) for r in p.records()], + plain(p.program), + ] + if HOOKS: + epoch = p._state() + for flows in epoch["cohorts"].values(): + for flow in flows: + flow["flow_id"] = flow["flow_id"][1] + out.append(epoch) + return out + + +class World: + """A ledger with its policies (created in order), each policy's sources and mask.""" + + def __init__(self, g, service=None, reservation=None): + self.g = g + self.ledger = ngc.FlowLedger(g, service, reservation_baseline=reservation) + self.p = [] + self.sources = [] + self.masks = [] + + def add(self, sources, destinations, cfg, mask=None): + self.p.append(ngc.FlowPolicy(self.ledger, sources, destinations, cfg, mask)) + self.sources.append(sources) + self.masks.append(mask) + return self.p[-1] + + def pin(self, program, admission=LY, black_holes=None, mask=None): + cfg = ngc.FlowPolicyConfig( + routing=ngc.Pinned(program, black_holes=black_holes), admission=admission + ) + return self.add(list(program.sources), list(program.destinations), cfg, mask) + + def state(self): + """The ledger (private hooks: with its next FlowId and owners) and every policy.""" + ledger = full_ledger_state(self.ledger) if HOOKS else ledger_state(self.ledger) + return [ledger, [policy_state(p) for p in self.p]] + + +def run(w, actions, mode=ORDERED, outputs=None): + out = ngc.apply_actions(w.ledger, actions, mode=mode, outputs=outputs) + assert type(out) is list and len(out) == len(actions) + assert all(type(r) is ngc.PlacementResult for r in out) + return out + + +def refused(w, actions, mode=ORDERED, outputs=None, error=ValueError): + """The message of the error the list raises (exactly that class); nothing changed.""" + before = w.state() + with pytest.raises(error) as info: + ngc.apply_actions(w.ledger, actions, mode=mode, outputs=outputs) + assert type(info.value) is error + assert w.state() == before + return str(info.value) + + +def delivered(results): + return [r.call_delivered for r in results] + + +def cyc12(): + """The step-3 cycle Pc's graph: CYC(1, 2).""" + return graph( + 6, + [ + (0, 1, 1, 1), + (1, 2, 1000, 1), + (1, 5, 1000, 1), + (2, 3, 2, 1), + (3, 0, 1000, 1), + (3, 5, 1000, 1), + (4, 0, 1000, 1), + (4, 2, 1000, 1), + ], + ) + + +def pc_program(g): + """Two tunnels crossing X (e0) and Y (e3) in opposite orders, weights 1 and 2: replace(3) + enters a period-2 cycle.""" + return tunnels(g, [4], [5], [(4, [6, 0, 1, 3, 5], 1), (4, [7, 3, 4, 0, 2], 2)]) + + +def g1(): + return graph(2, [(0, 1, 10, 1)]) + + +# -- the action values ------------------------------------------------------------------------- + + +def test_action_fields(): + g = g1() + p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, ecmp()) + m = no_edges(g, [0]) + place, rep, fwd = ( + ngc.Place(p, 3), + ngc.Replace(p, 3, design_demand=5), + ngc.Forward(p, 3, black_holes=m), + ) + assert place.policy is p and rep.policy is p and fwd.policy is p + assert [place.offer, rep.offer, fwd.offer, rep.design_demand] == [3, 3, 3, 5] + assert all(type(x) is int for x in (place.offer, rep.offer, rep.design_demand)) + assert fwd.black_holes is m + assert ngc.Place(p, INF).offer == INF + assert ngc.Replace(p, 3).design_demand is None + assert ngc.Forward(p, 3).black_holes is None + # Kept as given, never converted to units. + assert ngc.Place(p, 2**70).offer == 2**70 + assert ngc.Replace(p, 1.5, design_demand=2.5).design_demand == 2.5 + assert_read_only(place, "policy", "offer") + assert_read_only(rep, "policy", "offer", "design_demand") + assert_read_only(fwd, "policy", "offer", "black_holes") + + +def test_signatures(): + g = g1() + led = ngc.FlowLedger(g) + p = ngc.FlowPolicy(led, 0, 1, ecmp()) + m = no_edges(g, [0]) + for build_one in ( + lambda: ngc.Replace(p, 1, 5), + lambda: ngc.Forward(p, 1, m), + lambda: ngc.apply_actions(led, [], ORDERED), + lambda: ngc.apply_actions(led, [], ORDERED, None), + ): + with pytest.raises(TypeError, match="incompatible"): + build_one() + out = ngc.apply_actions( + ledger=led, actions=[ngc.Replace(p, 1)], mode=ORDERED, outputs=None + ) + assert type(out) is list and len(out) == 1 + assert ngc.apply_actions.__doc__.startswith( + "apply_actions(ledger: object, actions: object, *, mode: object = BatchMode.ORDERED," + " outputs: object = None) -> list[_netgraph_core.PlacementResult]" + ) + + +def test_action_construction_errors(): + g = g1() + p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, ecmp()) + cases = [ + (lambda: ngc.Place(None, 1), "policy must be a FlowPolicy (got NoneType)"), + (lambda: ngc.Place(3, 1), "policy must be a FlowPolicy (got int)"), + (lambda: ngc.Place(p, True), "offer must be an int or a float (got bool)"), + (lambda: ngc.Place(p, "1"), "offer must be an int or a float (got str)"), + (lambda: ngc.Place(p, None), "offer must be an int or a float (got NoneType)"), + ( + lambda: ngc.Place(p, Fraction(3, 2)), + "offer must be an int or a float (got Fraction)", + ), + ( + lambda: ngc.Place(p, np.bool_(True)), + "offer must be an int or a float (got bool)", + ), + ( + lambda: ngc.Replace(p, 1, design_demand=True), + "design_demand must be an int or a float (got bool)", + ), + ( + lambda: ngc.Replace(p, 1, design_demand="x"), + "design_demand must be an int or a float (got str)", + ), + ( + lambda: ngc.Forward(p, 1, black_holes=3), + "black_holes must be an Eligibility or None (got int)", + ), + ( + lambda: ngc.Forward(p, True, black_holes=3), + "offer must be an int or a float (got bool)", + ), + ( + lambda: ngc.Replace(None, True), + "policy must be a FlowPolicy (got NoneType)", + ), + ] + for make, text in cases: + with pytest.raises(TypeError, match=exact(text)) as info: + make() + assert type(info.value) is TypeError + with pytest.raises(TypeError, match="incompatible"): + ngc.Place(p, 1, design_demand=1) + with pytest.raises(TypeError, match="incompatible"): + ngc.Place(p) + # NumPy integers are ints (kept as Python ints), NumPy floats are floats. + three = ngc.Place(p, np.int64(3)).offer + assert three == 3 and type(three) is int + assert ngc.Place(p, np.uint8(3)).offer == 3 + assert ngc.Place(p, np.float32(1.5)).offer == 1.5 + assert ngc.Place(p, np.float64(INF)).offer == INF + + class Index: + def __index__(self): + return 4 + + assert type(ngc.Place(p, Index()).offer) is int + + +def test_offers_are_checked_by_the_call(): + g = g1() + w = World(g) + p = w.add(0, 1, ecmp()) + w.add(0, 1, ecmp()).place(2) + for offer in (-1, 2**62, 2**63, 2**70, 1.5, np.float32(1.5), float("nan"), -INF): + action = ngc.Place(p, offer) # constructs + assert refused(w, [action]) == OFFER + assert refused(w, [ngc.Replace(p, offer)], SIMULTANEOUS) == OFFER + for design in (-1, 2**63, 1.5, float("nan")): + t = w.add(0, 1, t1()) + text = "design_demand must be an integer in [0, 2^62) or permitted +inf" + assert refused(w, [ngc.Replace(t, 1, design_demand=design)]) == text + # +inf (a NumPy infinity too) is +inf, never a bad finite value. + f = w.add(0, 1, ecmp(LL)) + assert run(w, [ngc.Replace(f, np.float64(INF))])[0].requested == INF + + +def test_list_conversion_errors(): + g = g1() + w = World(g) + e = w.add(0, 1, ecmp()) + other = World(g1()) + x = other.add(0, 1, ecmp()) + e.place(2) + cases = [ + ((None, []), {}, "ledger must be a FlowLedger"), + ((5, []), {}, "ledger must be a FlowLedger"), + ((None, 5), {}, "ledger must be a FlowLedger"), + ( + (w.ledger, 5), + {}, + "actions must be a sequence of Place, Replace or Forward (got int)", + ), + ( + (w.ledger, "ab"), + {}, + "actions must be a sequence of Place, Replace or Forward (got str)", + ), + ( + (w.ledger, [ngc.Place(e, 1), 1]), + {}, + "actions[1] must be a Place, Replace or Forward (got int)", + ), + # Before any native check: the foreign first action, the bad mode. + ( + (w.ledger, [ngc.Place(x, 1), None]), + {"mode": ngc.BatchMode(7)}, + "actions[1] must be a Place, Replace or Forward (got NoneType)", + ), + ((w.ledger, []), {"mode": 0}, "mode must be a BatchMode (got int)"), + ((w.ledger, []), {"mode": None}, "mode must be a BatchMode (got NoneType)"), + ( + (w.ledger, [ngc.Place(x, 1)]), + {"outputs": 1}, + "outputs must be an OutputOptions (got int)", + ), + ] + for args, kw, text in cases: + before = w.state() + with pytest.raises(TypeError, match=exact(text)) as info: + ngc.apply_actions(*args, **kw) + assert type(info.value) is TypeError + assert w.state() == before + # A tuple, a NumPy object array and a generator-free sequence are sequences. + assert delivered(run(w, (ngc.Replace(e, 3),))) == [3] + assert delivered(run(w, np.array([ngc.Replace(e, 4)], dtype=object))) == [4] + + +def test_actions_keep_their_objects_alive(): + g = graph(2, [(0, 1, 10, 1), (0, 1, 10, 1)]) + led = ngc.FlowLedger(g) + action = ngc.Replace(ngc.FlowPolicy(led, 0, 1, ecmp()), 4) + gc.collect() + assert delivered(ngc.apply_actions(led, [action])) == [4] + assert led.carried().tolist() == [2, 2] + held = ngc.FlowPolicy(led, 0, 1, ecmp()) + held.replace(2) + forward = ngc.Forward(held, 6, black_holes=g.eligibility(excluded_edges=[1])) + alive = weakref.ref(forward.black_holes) + del held + gc.collect() + assert alive() is not None + r = ngc.apply_actions(led, [forward])[0] + assert r.call_delivered == 3 and r.call_edge_drops == [(1, 3)] + assert len(led.records()) == 2 + + +# -- validation -------------------------------------------------------------------------------- + + +def test_empty_list(): + w = World(g1()) + e = w.add(0, 1, ecmp()) + e.place(3) + before = w.state() + assert run(w, []) == [] and run(w, [], SIMULTANEOUS) == [] + assert w.state() == before + text = "mode: 7 is not a value of BatchMode" + assert refused(w, [], ngc.BatchMode(7)) == text + assert refused(w, [ngc.Place(e, 1)], ngc.BatchMode(7)) == text + + +def test_validation_order(): + w = World(g1()) + e = w.add(0, 1, ecmp()) + e2 = w.add(0, 1, ecmp()) + f = w.add(0, 1, ecmp(LL)) + t = w.add(0, 1, t1()) + k = w.add(0, 1, controller()) + opt = w.add(0, 1, config(ngc.ShortestPaths(), ngc.RouteAllocation.OPTIMIZED)) + tt = w.add(0, 1, t2()) + p = w.pin(tunnel(w.g, 0, 1, [0])) + pll = w.pin(tunnel(w.g, 0, 1, [0]), LL) + inf = w.add(0, 1, ecmp()) + other = World(g1()) + x = other.add(0, 1, ecmp()) + inf.place(INF) + k.place(1) + e.place(2) + P, R, F = ngc.Place, ngc.Replace, ngc.Forward + model = "SIMULTANEOUS Replace requires ShortestPaths EQUAL or WEIGHTED, or Pinned" + lossy = "SIMULTANEOUS requires admission=LOSSY" + cases = [ + # Ownership, then the duplicate rule (at the second occurrence). + ([P(e, 1), P(e, 2)], ORDERED, "duplicate policy in list"), + ([R(e, 1), F(e, 1)], ORDERED, "duplicate policy in list"), + ([R(e, 1), F(e, 1)], SIMULTANEOUS, "duplicate policy in list"), + ([P(x, 1)], ORDERED, "list policy belongs to another ledger"), + ([P(x, 1), P(x, 1)], ORDERED, "list policy belongs to another ledger"), + ([R(x, 1)], SIMULTANEOUS, "list policy belongs to another ledger"), + ([P(e, 1), P(e, -1)], ORDERED, "duplicate policy in list"), + # Every check of an action before the next action's. + ([P(e, -1), P(e2, 1)], ORDERED, OFFER), + ([P(e, -1), P(x, 1)], ORDERED, OFFER), + ([P(e, -1), P(e, 1)], ORDERED, OFFER), + # SIMULTANEOUS's rules in their order, then the scalar checks. + ([P(e, 1)], SIMULTANEOUS, "SIMULTANEOUS does not accept Place"), + ([R(t, 1)], SIMULTANEOUS, model), + ([R(k, 1)], SIMULTANEOUS, model), + ([R(opt, 1)], SIMULTANEOUS, model), + ([R(tt, 1)], SIMULTANEOUS, model), + ([R(f, 1)], SIMULTANEOUS, lossy), + ([R(pll, 1)], SIMULTANEOUS, lossy), + ([F(k, 1)], SIMULTANEOUS, lossy), + ([R(e, INF)], SIMULTANEOUS, "SIMULTANEOUS requires finite offers"), + ([F(p, 1)], SIMULTANEOUS, "Pinned forwards with replace"), + ([F(e2, 1)], SIMULTANEOUS, "forward requires an installed program"), + ([R(e, -1)], SIMULTANEOUS, OFFER), + ( + [R(e, 1, design_demand=1)], + SIMULTANEOUS, + "ShortestPaths does not accept design_demand", + ), + # Several invalid parts in one action. + ([F(e2, INF)], SIMULTANEOUS, "SIMULTANEOUS requires finite offers"), + ([F(k, INF)], SIMULTANEOUS, lossy), + ([R(t, -1)], SIMULTANEOUS, model), + ( + [R(e2, 1), P(e, 1), R(t, 1)], + SIMULTANEOUS, + "SIMULTANEOUS does not accept Place", + ), + # ORDERED runs the scalar checks in the call's order. + ([P(t, 1)], ORDERED, "DistributedTE does not support incremental placement"), + ( + [P(tt, 0)], + ORDERED, + "CentralizedTE with tunnel_count does not support incremental placement", + ), + ( + [F(e, 1, black_holes=no_edges(other.g, [0]))], + ORDERED, + "black_holes belongs to another graph", + ), + ( + [P(inf, 1)], + ORDERED, + "finite placement after infinite placement requires a new epoch", + ), + ([P(t, -1)], ORDERED, "DistributedTE does not support incremental placement"), + ([F(p, 1)], ORDERED, "Pinned forwards with replace"), + ([F(e2, 1)], ORDERED, "forward requires an installed program"), + ( + [R(f, 1, design_demand=2)], + ORDERED, + "ShortestPaths does not accept design_demand", + ), + ( + [R(t, 1, design_demand=INF)], + ORDERED, + "DistributedTE requires a finite design demand", + ), + ] + for actions, mode, text in cases: + assert refused(w, actions, mode) == text, (actions, mode) + + +def test_invalid_last_action_changes_nothing(): + w = World(cyc12()) + pc = w.pin(pc_program(w.g)) + t = w.add(4, 5, t1()) + fresh = [w.add(4, 5, ecmp()) for _ in range(48)] + e = w.add(4, 5, ecmp()) + ordered = [ngc.Replace(pc, 3)] + [ngc.Place(f, 1) for f in fresh] + simultaneous = [ngc.Replace(pc, 3)] + [ngc.Replace(f, 1) for f in fresh] + assert ( + refused(w, [*ordered, ngc.Place(t, 1)]) + == "DistributedTE does not support incremental placement" + ) + assert ( + refused(w, [*simultaneous, ngc.Place(e, 1)], SIMULTANEOUS) + == "SIMULTANEOUS does not accept Place" + ) + # Controls: without the last action, the computation's error. + assert refused(w, ordered) == PERIOD_TWO + assert refused(w, simultaneous, SIMULTANEOUS) == PERIOD_TWO + + +# -- ORDERED ----------------------------------------------------------------------------------- + + +def test_earlier_actions_are_served_first(): + # A reservation protects nothing: on one link of 10 the first action takes the link. + for tunnel_first in (False, True): + w = World(g1()) + e = w.add(0, 1, ecmp()) + t = w.add(0, 1, t1()) + re, rt = ngc.Replace(e, 10), ngc.Replace(t, 10, design_demand=10) + r = run(w, [rt, re] if tunnel_first else [re, rt]) + er, tr = (r[1], r[0]) if tunnel_first else (r[0], r[1]) + first, second = (tr, er) if tunnel_first else (er, tr) + assert first.call_delivered == 10 and first.call_edge_drops == [] + assert second.call_delivered == 0 and second.call_edge_drops == [(0, 10)] + assert tr.by_tunnel[0].status == UP + assert w.ledger.carried().tolist() == [10] + assert w.ledger.reserved().tolist() == [10] + assert w.ledger.residual().tolist() == [0] + assert w.ledger.unreserved().tolist() == [0] + + +def test_flow_ids_in_list_order(): + w = World(g1()) + a = w.add(0, 1, ecmp()) + b = w.add(0, 1, ecmp()) + run(w, [ngc.Replace(b, 1), ngc.Replace(a, 1)]) + assert b.records()[0].flow_id == (w.ledger.uid(), 0) + assert a.records()[0].flow_id == (w.ledger.uid(), 1) + + +def test_ordered_outputs_after_each_action(): + w = World(g1()) + a = w.add(0, 1, ecmp()) + b = w.add(0, 1, ecmp()) + o = ngc.OutputOptions(edge_flows=True, residual=True, saturated_boundary_edges=True) + ra, rb = run(w, [ngc.Replace(a, 7), ngc.Replace(b, 7)], outputs=o) + assert ra.call_delivered == 7 and ra.residual.tolist() == [3] + assert ra.saturated_boundary_edges == [] and ra.edge_flows.tolist() == [7] + assert rb.call_delivered == 3 and rb.call_edge_drops == [(0, 4)] + assert rb.residual.tolist() == [0] and rb.saturated_boundary_edges == [0] + assert rb.edge_flows.tolist() == [3] + + +def test_ordered_holds_after_each_action(): + for reversed_order in (False, True): + w = World(g1()) + t = w.add(0, 1, t1()) + u = w.add(0, 1, t1()) + o = ngc.OutputOptions(edge_reservations=True) + rt = ngc.Replace(t, 10, design_demand=10) + ru = ngc.Replace(u, 10, design_demand=10) + first, second = run(w, [ru, rt] if reversed_order else [rt, ru], outputs=o) + assert first.by_tunnel[0].status == UP and first.call_delivered == 10 + assert first.edge_reservations.tolist() == [10] + assert second.by_tunnel[0].status == ngc.TunnelStatus.INSUFFICIENT_BANDWIDTH + assert second.call_source_drops == 10 and second.call_delivered == 0 + assert second.edge_reservations.tolist() == [0] + assert w.ledger.reserved().tolist() == [10] + + +def test_normal_outcomes_commit(): + w = World(g1()) + e = w.add(0, 1, ecmp()) + f = w.add(0, 1, ecmp(LL)) + e2 = w.add(0, 1, ecmp()) + re, rf = run(w, [ngc.Replace(e, 10), ngc.Replace(f, 5)]) + assert re.call_delivered == 10 + assert rf.call_delivered == 0 and rf.call_undelivered == 5 + assert rf.termination == ngc.Termination.EXHAUSTED + assert [r.delivered for r in f.records()] == [0] + # A zero place on a new policy: zeros, no program, no record, flags false; nothing published. + before = w.state() + (z,) = run(w, [ngc.Place(e2, 0)], outputs=ngc.OutputOptions(residual=True)) + assert z.call_delivered == 0 and z.program is None + assert not (z.routes_changed or z.weights_changed or z.reservations_changed) + assert z.residual.tolist() == [0] + assert w.state() == before + + +def test_error_leaves_everything_unchanged(): + rows = [ + (0, 1, 1, 1), + (1, 2, 1000, 1), + (1, 5, 1000, 1), + (2, 3, 2, 1), + (3, 0, 1000, 1), + (3, 5, 1000, 1), + (4, 0, 1000, 1), + (4, 2, 1000, 1), + (6, 7, 10, 1), + ] + w = World(graph(8, rows)) + a = w.add(6, 7, ecmp()) + pc = w.pin(pc_program(w.g)) + a.place(2) + old = a.records()[0].flow_id + assert refused(w, [ngc.Replace(a, 5), ngc.Replace(pc, 3)]) == PERIOD_TWO + assert a.delivered() == 2 and a.records()[0].flow_id == old + + +def test_infinite_ordered_actions(): + w = World(g1()) + f = w.add(0, 1, ecmp(LL)) + e = w.add(0, 1, ecmp()) + rf, re = run(w, [ngc.Replace(f, INF), ngc.Replace(e, 1)]) + assert rf.call_delivered == 10 and rf.termination == ngc.Termination.EXHAUSTED + assert rf.requested == INF and rf.offered is None + assert rf.unadmitted is None and rf.call_undelivered == INF + assert re.call_delivered == 0 and re.call_edge_drops == [(0, 1)] + assert re.termination == ngc.Termination.COMPLETE + + def par(): + return graph(2, [(0, 1, 4, 1), (0, 1, 10, 1)]) + + w = World(par()) + e = w.add(0, 1, ecmp()) + (r,) = run(w, [ngc.Place(e, INF)]) + assert r.requested == INF and r.offered == 14 and r.call_delivered == 14 + assert r.call_edge_drops == [] and r.termination == ngc.Termination.EXHAUSTED + assert ( + refused(w, [ngc.Place(e, 0)]) + == "finite placement after infinite placement requires a new epoch" + ) + (r,) = run(w, [ngc.Replace(e, 12)]) + assert r.call_delivered == 10 and r.call_edge_drops == [(0, 2)] + before = w.state() + run(w, [ngc.Place(e, 0)]) + assert w.state() == before + + +def test_counters_cross_two_to_the_64(): + w = World(g1()) + e = w.add(0, 1, ecmp()) + for _ in range(4): + e.place(W62) + old = e.records()[0].flow_id + (r,) = run(w, [ngc.Place(e, W62)]) + assert r.requested == r.offered == r.admitted == 5 * W62 == 2**64 + 2**62 - 5 + assert r.delivered == 10 and r.edge_drops == [(0, 5 * W62 - 10)] + assert r.call_delivered == 0 and r.call_undelivered == W62 + assert r.call_edge_drops == [(0, W62)] + assert e.records()[0].flow_id == old + + +# -- SIMULTANEOUS ------------------------------------------------------------------------------ + + +def test_ordered_against_simultaneous(): + # docs/semantics.md's call: two offers of 10 on a link of 10. + for mode, want, drops in ( + (SIMULTANEOUS, [5, 5], [[(0, 5)], [(0, 5)]]), + (ORDERED, [10, 0], [[], [(0, 10)]]), + ): + w = World(g1()) + a = w.add(0, 1, ecmp()) + b = w.add(0, 1, ecmp()) + r = run(w, [ngc.Replace(a, 10), ngc.Replace(b, 10)], mode) + assert delivered(r) == want + assert [x.call_edge_drops for x in r] == drops + + +def released_world(): + """An outside owner O (4), then A (1) and B (5) on one link of 10.""" + w = World(g1()) + o, a, b = (w.add(0, 1, ecmp()) for _ in range(3)) + o.place(4) + a.place(1) + b.place(5) + return w, o, a, b + + +def test_simultaneous_view_releases_together(): + w, o, a, b = released_world() + outside = policy_state(o) + r = run(w, [ngc.Replace(a, 10), ngc.Replace(b, 10)], SIMULTANEOUS) + assert delivered(r) == [3, 3] and r[0].call_edge_drops == [(0, 7)] + assert [x.delivery_delta for x in r] == [2, -2] + assert w.ledger.carried().tolist() == [10] + assert policy_state(o) == outside + # ORDERED (the contrast): A on 0 + 1, B on 0 + 5. + w3, _, a3, b3 = released_world() + assert delivered(run(w3, [ngc.Replace(a3, 10), ngc.Replace(b3, 10)])) == [1, 5] + + +def test_permutation_changes_nothing(): + w, _, a, b = released_world() + r = run(w, [ngc.Replace(a, 10), ngc.Replace(b, 10)], SIMULTANEOUS) + w2, _, a2, b2 = released_world() + r2 = run(w2, [ngc.Replace(b2, 10), ngc.Replace(a2, 10)], SIMULTANEOUS) + assert plain(r2) == plain([r[1], r[0]]) + assert w2.ledger.carried().tolist() == w.ledger.carried().tolist() + assert (a2.delivered(), b2.delivered()) == (a.delivered(), b.delivered()) + # The new records' FlowIds follow list order. + assert b2.records()[0].flow_id[1] + 1 == a2.records()[0].flow_id[1] + + +def test_repeat_gives_the_same_state(): + w, _, a, b = released_world() + run(w, [ngc.Replace(a, 10), ngc.Replace(b, 10)], SIMULTANEOUS) + old = a.records()[0].flow_id + again = run(w, [ngc.Replace(a, 10), ngc.Replace(b, 10)], SIMULTANEOUS) + assert delivered(again) == [3, 3] and again[0].delivery_delta == 0 + assert a.records()[0].flow_id != old + # Removing A later frees only its traffic; B does not rebalance. + a.remove() + assert w.ledger.carried().tolist() == [7] and b.delivered() == 3 + + +def test_holds_and_orphans_stay_outside(): + w = World(g1()) + t = w.add(0, 1, t1()) + e = w.add(0, 1, ecmp()) + t.replace(0, design_demand=10) + assert run(w, [ngc.Replace(e, 10)], SIMULTANEOUS)[0].call_delivered == 10 + w = World(g1()) + w.add(0, 1, ecmp()).place(4) + w.p.pop() # dropped without remove(): its record is an orphan + gc.collect() + a = w.add(0, 1, ecmp()) + b = w.add(0, 1, ecmp()) + r = run(w, [ngc.Replace(a, 10), ngc.Replace(b, 10)], SIMULTANEOUS) + assert delivered(r) == [3, 3] and w.ledger.carried().tolist() == [10] + + +def test_simultaneous_preparation_reads_the_view(): + for mode in (SIMULTANEOUS, ORDERED): + w = World(graph(2, [(0, 1, 10, 1), (0, 1, 10, 1)])) + snap = shortest( + allocation=ngc.RouteAllocation.WEIGHTED, + weight_basis=ngc.WeightBasis.RESIDUAL_SNAPSHOT, + ) + a = w.add(0, 1, config(snap, admission=LY)) + a.replace(2) + w.pin(tunnel(w.g, 0, 1, [0])).place(8) + b = w.add(0, 1, ecmp()) + ra, rb = run(w, [ngc.Replace(a, 12), ngc.Replace(b, 4)], mode) + if mode == SIMULTANEOUS: + assert ra.weights_changed and not ra.routes_changed + assert ra.call_delivered == 10 and ra.call_edge_drops == [(0, 1), (1, 1)] + assert rb.call_delivered == 2 and rb.call_edge_drops == [(0, 1), (1, 1)] + assert w.ledger.carried().tolist() == [10, 10] + else: + assert ra.call_delivered == 12 + assert rb.call_delivered == 0 and rb.call_edge_drops == [(0, 2), (1, 2)] + + +def test_simultaneous_preparation_reads_the_list_view(): + # The other participant's old load is released before the preparation: B (a tunnel on edge 0) + # carries 8, the list replaces A (12) and B (8). On the list's view A's snapshot is (10, 10): A + # splits (6, 6) and edge 0 shares 10 over A 6 and B 8, (4, 6) (A created first); on A's own + # view it would be (2, 10) with no drop. A single path by HIGHER_AVAILABLE_CAPACITY ties on the + # list's view and takes edge 0 (edge 1 on A's own view): edge 0 shares 10 over 12 and 8, (6, 4). + snap = shortest( + allocation=ngc.RouteAllocation.WEIGHTED, + weight_basis=ngc.WeightBasis.RESIDUAL_SNAPSHOT, + ) + single = shortest( + tie_break=ngc.RouteTieBreak.HIGHER_AVAILABLE_CAPACITY, + multipath=False, + parallel_edges=False, + ) + for model, a_flows, want, carried in ( + (snap, [(0, 4), (1, 6)], [10, 6], [10, 6]), + (single, [(0, 6)], [6, 4], [10, 0]), + ): + w = World(graph(2, [(0, 1, 10, 1), (0, 1, 10, 1)])) + a = w.add(0, 1, config(model, admission=LY)) + b = w.pin(tunnel(w.g, 0, 1, [0])) + b.replace(8) + r = run(w, [ngc.Replace(a, 12), ngc.Replace(b, 8)], SIMULTANEOUS) + assert [rec.edge_flows for rec in a.records()] == [a_flows] + assert delivered(r) == want and w.ledger.carried().tolist() == carried + + +def test_ties_follow_creation_order(): + for first_created_listed_second in (True, False): + w = World(graph(2, [(0, 1, 1, 1)])) + prog = tunnel(w.g, 0, 1, [0]) + p0, p1 = w.pin(prog), w.pin(prog) + if first_created_listed_second: + r = run(w, [ngc.Replace(p1, 1), ngc.Replace(p0, 1)], SIMULTANEOUS) + assert delivered(r) == [0, 1] and r[0].call_edge_drops == [(0, 1)] + else: + r = run(w, [ngc.Replace(p0, 1), ngc.Replace(p1, 1)], SIMULTANEOUS) + assert delivered(r) == [1, 0] + + +def test_pooled_demand_shares_a_link(): + # Every field of both entries. + w = World( + graph( + 5, [(0, 2, 10, 1), (1, 2, 10, 1), (2, 3, 1, 1), (2, 3, 1, 1), (4, 2, 10, 1)] + ) + ) + a = w.add([0, 1], 3, ecmp()) + b = w.pin(tunnel(w.g, 4, 3, [4, 2])) + ra, rb = run(w, [ngc.Replace(a, 2), ngc.Replace(b, 2)], SIMULTANEOUS, ALL) + assert (ra.call_delivered, ra.call_undelivered, ra.delivery_delta) == (1, 1, 1) + assert ra.call_edge_drops == [(2, 1)] and ra.call_source_drops == 0 + assert ra.termination == ngc.Termination.COMPLETE + assert ra.routes_changed and ra.weights_changed and not ra.reservations_changed + assert ra.program is not None and len(ra.program.tunnels) == 0 and ra.plan is None + assert (ra.requested, ra.offered, ra.admitted, ra.delivered) == (2, 2, 2, 1) + assert ra.unadmitted == 0 and ra.source_drops == 0 and ra.edge_drops == [(2, 1)] + assert [ + (s.source, s.offered, s.delivered, s.total_edge_drops) for s in ra.by_source + ] == [ + (0, 1, 0, 1), + (1, 1, 1, 0), + ] + assert len(ra.by_tunnel) == 0 and ra.total_cost is None + assert ra.marginal_cost_curve is None and ra.min_cut is None + assert ra.edge_flows.tolist() == [1, 1, 0, 1, 0] + assert ra.residual.tolist() == [9, 9, 0, 0, 8] + assert ra.saturated_boundary_edges == [2, 3] + assert ra.edge_reservations.tolist() == [0] * 5 + recs = a.records() + assert [r.edge_flows for r in recs] == [[(0, 1)], [(1, 1), (3, 1)]] + assert [len(r.edge_drops) for r in recs] == [1, 0] + assert (rb.call_delivered, rb.call_undelivered, rb.delivery_delta) == (1, 1, 1) + assert rb.call_edge_drops == [(2, 1)] and rb.termination == ngc.Termination.COMPLETE + assert rb.routes_changed and rb.weights_changed + assert [ + (x.head, x.status, x.assigned, x.delivered, x.total_edge_drops) + for x in rb.by_tunnel + ] == [(4, UP, 2, 1, 1)] + assert rb.edge_flows.tolist() == [0, 0, 1, 0, 2] + assert rb.residual.tolist() == [9, 9, 0, 0, 8] + assert w.ledger.carried().tolist() == [1, 1, 1, 1, 2] + + +def test_results_in_input_order(): + w = World(graph(4, [(0, 1, 10, 1), (2, 3, 10, 1)])) + a = w.pin(tunnel(w.g, 0, 1, [0])) + b = w.pin(tunnel(w.g, 2, 3, [1])) + for mode in (ORDERED, SIMULTANEOUS): + r = run(w, [ngc.Replace(b, 7), ngc.Replace(a, 3)], mode) + assert delivered(r) == [7, 3] and r[0].program.tunnels[0].head == 2 + + +def test_demand_level_above_tunnels(): + w = World(graph(2, [(0, 1, 1, 1)])) + a = w.pin(tunnels(w.g, [0], [1], [(0, [0], 1), (0, [0], 1)])) + b = w.pin(tunnel(w.g, 0, 1, [0])) + ra, rb = run(w, [ngc.Replace(a, 2), ngc.Replace(b, 2)], SIMULTANEOUS) + assert ra.call_delivered == 1 and [x.delivered for x in ra.by_tunnel] == [1, 0] + assert rb.call_delivered == 0 + # Created the other way round, the tie goes to the other demand. + w2 = World(graph(2, [(0, 1, 1, 1)])) + b2 = w2.pin(tunnel(w2.g, 0, 1, [0])) + a2 = w2.pin(tunnels(w2.g, [0], [1], [(0, [0], 1), (0, [0], 1)])) + r2 = run(w2, [ngc.Replace(a2, 2), ngc.Replace(b2, 2)], SIMULTANEOUS) + assert delivered(r2) == [0, 1] + + +def test_demand_level_above_sources(): + w = World(graph(6, [(1, 3, 100, 1), (2, 3, 100, 1), (3, 4, 1, 1), (5, 3, 100, 1)])) + a = w.pin(tunnels(w.g, [1, 2], [4], [(1, [0, 2], 1), (2, [1, 2], 1)])) + b = w.pin(tunnel(w.g, 5, 4, [3, 2])) + ra, rb = run(w, [ngc.Replace(a, 2), ngc.Replace(b, 2)], SIMULTANEOUS) + assert ra.call_delivered == 1 and ra.by_tunnel[0].delivered == 1 + assert rb.call_delivered == 0 + + +def test_black_holes_of_one_participant(): + w = World(g1()) + a = w.pin(tunnel(w.g, 0, 1, [0]), black_holes=no_edges(w.g, [0])) + b = w.add(0, 1, ecmp()) + o = ngc.OutputOptions(residual=True, saturated_boundary_edges=True) + ra, rb = run(w, [ngc.Replace(a, 10), ngc.Replace(b, 10)], SIMULTANEOUS, o) + assert ra.call_delivered == 0 and ra.call_edge_drops == [(0, 10)] + assert ra.by_tunnel[0].status == BLACKHOLED + assert rb.call_delivered == 10 and rb.call_edge_drops == [] + assert ra.residual.tolist() == [0] == rb.residual.tolist() + assert ra.saturated_boundary_edges == [0] + # A Forward's own black holes. + w = World(graph(2, [(0, 1, 10, 1), (0, 1, 10, 1)])) + a = w.add(0, 1, ecmp()) + b = w.add(0, 1, ecmp()) + a.replace(2) + ra, rb = run( + w, + [ngc.Forward(a, 10, black_holes=no_edges(w.g, [1])), ngc.Replace(b, 10)], + SIMULTANEOUS, + ) + assert ra.call_delivered == 5 and ra.call_edge_drops == [(1, 5)] + assert rb.call_delivered == 10 and w.ledger.carried().tolist() == [10, 5] + + +def test_black_hole_downstream_of_a_shared_link(): + w = World(graph(3, [(0, 1, 10, 1), (1, 2, 10, 1)])) + a = w.pin(tunnel(w.g, 0, 2, [0, 1]), black_holes=no_edges(w.g, [1])) + b = w.pin(tunnel(w.g, 0, 2, [0, 1])) + o = ngc.OutputOptions(residual=True, saturated_boundary_edges=True) + ra, rb = run(w, [ngc.Replace(a, 10), ngc.Replace(b, 10)], SIMULTANEOUS, o) + assert ra.call_edge_drops == [(0, 5), (1, 5)] + assert ra.by_tunnel[0].status == BLACKHOLED + assert rb.call_delivered == 5 and rb.call_edge_drops == [(0, 5)] + assert ra.residual.tolist() == [0, 5] + assert ra.saturated_boundary_edges == [0] == rb.saturated_boundary_edges + + +def test_forward_keeps_holds(): + w = World(g1()) + t = w.add(0, 1, t1()) + e = w.add(0, 1, ecmp()) + t.replace(5, design_demand=5) + rt, re = run(w, [ngc.Forward(t, 10), ngc.Replace(e, 10)], SIMULTANEOUS) + assert rt.call_delivered == 5 and rt.call_edge_drops == [(0, 5)] + assert not rt.routes_changed and not rt.reservations_changed + assert rt.plan.total_reserved_bandwidth == 5 + assert [r.edge_reservations for r in t.records()] == [[(0, 5)]] + assert re.call_delivered == 5 + assert w.ledger.carried().tolist() == [10] and w.ledger.reserved().tolist() == [5] + + +def test_empty_roster_participants(): + w = World(g1()) + mask = no_edges(w.g, [0]) + m = w.add(0, 1, ecmp(), mask) + e = w.add(0, 1, ecmp()) + p = w.pin(tunnel(w.g, 0, 1, [0]), mask=mask) + rm, re, rp = run( + w, [ngc.Replace(m, 5), ngc.Replace(e, 10), ngc.Replace(p, 5)], SIMULTANEOUS + ) + assert rm.termination == ngc.Termination.NO_ROUTE and rm.call_source_drops == 5 + assert rm.offered == 5 and rm.source_drops == 5 and m.records() == [] + assert re.call_delivered == 10 + assert rp.termination == ngc.Termination.NO_ROUTE and rp.call_source_drops == 5 + assert [r.delivered for r in p.records()] == [0] + + +def test_everything_masked(): + for mode in (ORDERED, SIMULTANEOUS): + w = World(g1()) + mask = no_edges(w.g, [0]) + m1 = w.add(0, 1, ecmp(), mask) + m2 = w.add(0, 1, ecmp(), mask) + p = w.pin(tunnel(w.g, 0, 1, [0]), mask=mask) + r = run(w, [ngc.Replace(x, 5) for x in (m1, m2, p)], mode) + assert all(x.termination == ngc.Termination.NO_ROUTE for x in r) + assert all(x.call_source_drops == 5 for x in r) + assert m1.records() == [] and m2.records() == [] and len(p.records()) == 1 + assert w.ledger.carried().tolist() == [0] + + +def test_zero_offers(): + w = World(g1()) + a = w.add(0, 1, ecmp()) + b = w.add(0, 1, ecmp()) + for x in run(w, [ngc.Replace(a, 0), ngc.Replace(b, 0)], SIMULTANEOUS): + assert x.termination == ngc.Termination.COMPLETE and x.call_delivered == 0 + assert x.program is not None and x.routes_changed and x.weights_changed + assert len(a.records()) == len(b.records()) == 1 + assert w.ledger.carried().tolist() == [0] + + +def test_iteration_errors_change_nothing(): + # D-C3 as three Pinned tunnels, each link on its own nodes with wide connectors. + g, i = mapped( + 8, + [ + (0, 1, 1, 1), + (2, 3, 1, 1), + (4, 5, 2, 1), + (1, 2, 1000, 1), + (3, 4, 1000, 1), + (5, 0, 1000, 1), + (6, 0, 1000, 1), + (6, 2, 1000, 1), + (6, 4, 1000, 1), + (3, 7, 1000, 1), + (5, 7, 1000, 1), + (1, 7, 1000, 1), + ], + ) + w = World(g) + a = w.pin(tunnel(g, 6, 7, [i[k] for k in (6, 0, 3, 1, 9)])) + b = w.pin(tunnel(g, 6, 7, [i[k] for k in (7, 1, 4, 2, 10)])) + c = w.pin(tunnel(g, 6, 7, [i[k] for k in (8, 2, 5, 0, 11)])) + for x in (a, b, c): + x.replace(1) + actions = [ngc.Replace(a, 1), ngc.Replace(b, 1), ngc.Replace(c, 2)] + assert refused(w, actions, SIMULTANEOUS) == PERIOD_TWO + + +def test_dark_arrivals_add_no_barrier(): + # The round-limit example's graph plus 16 -> 6; its three demands (black holes {5}, used by + # head 12 only) and a demand D from 16 whose black holes {16, 11} drop its offer on its first + # link: the round-limit error, nothing published (a dark copy of link 11 as a barrier would + # raise the limit). + g, i = mapped( + 17, + [ + (0, 1, 12, 1), + (1, 6, 1000, 1), + (2, 3, 9, 1), + (3, 0, 1000, 1), + (3, 10, 1000, 1), + (4, 5, 7, 1), + (5, 6, 1000, 1), + (6, 7, 13, 1), + (7, 2, 1000, 1), + (7, 10, 1000, 1), + (8, 9, 1, 1), + (10, 11, 10, 1), + (11, 2, 1000, 1), + (12, 4, 1000, 1), + (13, 6, 1000, 1), + (14, 0, 1000, 1), + (16, 6, 1000, 1), + ], + ) + w = World(g) + + def ids(rows): + return [i[k] for k in rows] + + a = w.pin( + tunnel(g, 12, 11, ids([13, 5, 6, 7, 8, 2, 4, 11])), + black_holes=no_edges(g, ids([5])), + ) + b = w.pin(tunnel(g, 13, 1, ids([14, 7, 9, 11, 12, 2, 3, 0]))) + c = w.pin(tunnel(g, 14, 7, ids([15, 0, 1, 7]))) + three = [ngc.Replace(a, 13), ngc.Replace(b, 11), ngc.Replace(c, 10)] + assert refused(w, three, SIMULTANEOUS) == ROUND_LIMIT + d = w.pin( + tunnel(g, 16, 1, ids([16, 7, 9, 11, 12, 2, 3, 0])), + black_holes=no_edges(g, ids([16, 11])), + ) + assert refused(w, [*three, ngc.Replace(d, 1)], SIMULTANEOUS) == ROUND_LIMIT + (r,) = run(w, [ngc.Replace(d, 1)], SIMULTANEOUS) + assert r.call_edge_drops == [(i[16], 1)] and r.by_tunnel[0].status == BLACKHOLED + + +def test_zero_shares_add_no_arc(): + # An entry whose share is 0 can carry nothing: it makes no link wait and joins no group. Two + # step-3 cycles bridged by two tunnels of offer 0 fail with the period-2 error with or without + # the bridges; so does a link X before a period-2 pair with or without Z (offer 0) over L0 then + # X, as a Pinned tunnel or a ShortestPaths demand. + cycle = [ + (0, 1, 1, 1), + (1, 2, 1000, 1), + (1, 5, 1000, 1), + (2, 3, 2, 1), + (3, 0, 1000, 1), + (3, 5, 1000, 1), + (4, 0, 1000, 1), + (4, 2, 1000, 1), + ] + other = [ + (0, 1, 1, 1), + (1, 4, 1000, 1), + (2, 3, 2, 1), + (3, 0, 1000, 1), + (3, 7, 1000, 1), + (4, 5, 1, 1), + (5, 2, 1000, 1), + (5, 7, 1000, 1), + (6, 0, 1000, 1), + (6, 2, 1000, 1), + ] + rows = cycle + [(a + 10, b + 10, c, d) for a, b, c, d in other] + rows += [(1, 10, 1000, 1), (11, 0, 1000, 1)] + bridged = [ + (4, 5, [6, 0, 1, 3, 5], 1), + (4, 5, [7, 3, 4, 0, 2], 2), + (16, 17, [16, 8, 9, 13, 14, 10, 12], 1), + (16, 17, [17, 10, 11, 8, 9, 13, 15], 2), + (4, 17, [6, 0, 18, 8, 9, 13, 15], 0), + (16, 5, [16, 8, 19, 0, 2], 0), + ] + for count in (4, 6): + g, i = mapped(18, rows) + w = World(g) + actions = [] + for s, d, path, offer in bridged[:count]: + p = w.pin(tunnel(g, s, d, [i[k] for k in path])) + p.replace(1) + actions.append(ngc.Replace(p, offer)) + assert refused(w, actions, SIMULTANEOUS) == PERIOD_TWO, count + # sA 0, sB 1, sZ 2, n1..n6 3..8, dA 9, dB 10, dZ 11; rows X, L0, L1 first. + rows = [ + (3, 4, 1, 1), + (5, 6, 1, 1), + (7, 8, 2, 1), + (0, 3, 100, 1), + (4, 5, 100, 1), + (6, 7, 100, 1), + (8, 9, 100, 1), + (1, 7, 100, 1), + (8, 5, 100, 1), + (6, 10, 100, 1), + (2, 5, 100, 1), + (6, 3, 100, 1), + (4, 11, 100, 1), + ] + for z in ("none", "tunnel", "shortest paths"): + g, i = mapped(12, rows) + w = World(g) + a = w.pin(tunnel(g, 0, 9, [i[k] for k in (3, 0, 4, 1, 5, 2, 6)])) + b = w.pin(tunnel(g, 1, 10, [i[k] for k in (7, 2, 8, 1, 9)])) + actions = [ngc.Replace(a, 2), ngc.Replace(b, 2)] + if z == "tunnel": + zt = w.pin(tunnel(g, 2, 11, [i[k] for k in (10, 1, 11, 0, 12)])) + actions.append(ngc.Replace(zt, 0)) + if z == "shortest paths": + actions.append(ngc.Replace(w.add(2, 11, ecmp()), 0)) + assert refused(w, actions, SIMULTANEOUS) == PERIOD_TWO, z + # A member that can carry nothing in a program that is not pooled: Z's program from sZ has a + # supplied DAG route (sZ's exit to dZ0 below its L0 branch, L0 then X) and a tunnel over that + # exit; offer 2 gives each entry 1 and the DAG route's unit takes the exit, so the L0 branch never + # carries anything. sA 0, sB 1, sZ 2, dZ0 3, n1..n6 4..9, dA 10, dB 11, dZ 12; rows X, L0, L1 first. + rows = [ + (4, 5, 1, 1), + (6, 7, 1, 1), + (8, 9, 2, 1), + (0, 4, 100, 1), + (5, 6, 100, 1), + (7, 8, 100, 1), + (9, 10, 100, 1), + (1, 8, 100, 1), + (9, 6, 100, 1), + (7, 11, 100, 1), + (2, 6, 100, 1), + (7, 4, 100, 1), + (5, 12, 100, 1), + (2, 3, 100, 1), + ] + g, i = mapped(13, rows) + assert i[13] < i[10] + w = World(g) + a = w.pin(tunnel(g, 0, 10, [i[k] for k in (3, 0, 4, 1, 5, 2, 6)])) + b = w.pin(tunnel(g, 1, 11, [i[k] for k in (7, 2, 8, 1, 9)])) + routes = [ + ngc.RouteDefinition(2, dag_of(g, [i[k] for k in (10, 1, 11, 0, 12, 13)])), + ngc.RouteDefinition(2, ngc.Path(g, [[i[13]]])), + ] + z = w.pin(ngc.ForwardingProgram.from_routes(g, [2], [3, 12], routes)) + actions = [ngc.Replace(a, 2), ngc.Replace(b, 2), ngc.Replace(z, 2)] + assert refused(w, actions, SIMULTANEOUS) == PERIOD_TWO + + +def test_maximal_offers_share_a_link(): + # Link sums beyond 2^63 and 2^64. + for n, cap, want in ( + (2, 10, [5, 5]), + (3, 10, [4, 3, 3]), + (5, 10, [2, 2, 2, 2, 2]), + (5, 11, [3, 2, 2, 2, 2]), + ): + w = World(graph(2, [(0, 1, cap, 1)])) + prog = tunnel(w.g, 0, 1, [0]) + r = run(w, [ngc.Replace(w.pin(prog), W62) for _ in range(n)], SIMULTANEOUS) + assert delivered(r) == want + assert [x.call_edge_drops for x in r] == [[(0, W62 - k)] for k in want] + + +def test_disjoint_maximal_participants(): + each = W62 // 5 # the graph's capacity sum stays below 2^62 + w = World(graph(2, [(0, 1, each, 1)] * 5)) + actions = [ngc.Replace(w.pin(tunnel(w.g, 0, 1, [e])), each) for e in range(5)] + assert delivered(run(w, actions, SIMULTANEOUS)) == [each] * 5 + assert w.ledger.carried().tolist() == [each] * 5 + + +def test_imported_tunnels_book_no_holds(): + w = World(g1(), [8], [6]) + t = w.add(0, 1, t1()) + t.replace(0, design_demand=6) + p = w.pin(t.program) + o = ngc.OutputOptions(edge_reservations=True) + rt, rp = run(w, [ngc.Forward(t, 8), ngc.Replace(p, 8)], SIMULTANEOUS, o) + assert delivered([rt, rp]) == [4, 4] + assert w.ledger.carried().tolist() == [8] and w.ledger.reserved().tolist() == [6] + assert rp.edge_reservations.tolist() == [0] and rp.plan is None + assert rt.plan is not None + # The program of an orphaned T1 policy. + w = World(g1(), [8], [6]) + w.add(0, 1, t1()).replace(0, design_demand=6) + prog = w.p.pop().program + gc.collect() + p = w.pin(prog) + assert run(w, [ngc.Replace(p, 8)], SIMULTANEOUS)[0].call_delivered == 8 + assert w.ledger.reserved().tolist() == [6] + + +def test_zero_forward(): + w = World(g1()) + t = w.add(0, 1, t1()) + e = w.add(0, 1, ecmp()) + t.replace(6, design_demand=6) + old = t.records()[0].flow_id + prog = t.program + rt, re = run(w, [ngc.Forward(t, 0), ngc.Replace(e, 10)], SIMULTANEOUS) + assert rt.termination == ngc.Termination.COMPLETE and rt.call_delivered == 0 + assert rt.delivery_delta == -6 and rt.by_tunnel[0].assigned == 0 + assert plain(t.program) == plain(prog) + assert len(t.records()) == 1 and t.records()[0].flow_id != old + assert t.records()[0].edge_reservations == [(0, 6)] + assert re.call_delivered == 10 + f = t.forward(8) + assert f.call_delivered == 0 and f.call_edge_drops == [(0, 8)] + assert w.ledger.reserved().tolist() == [6] + + +def test_black_holed_sources_and_nodes(): + w = World(graph(5, [(0, 2, 10, 1), (1, 2, 10, 1), (3, 4, 10, 1)])) + a = w.add([0, 1], 2, ecmp()) + a.replace(2) + z = w.pin(tunnel(w.g, 3, 4, [2])) + ra, rz = run( + w, + [ngc.Forward(a, 4, black_holes=no_nodes(w.g, [0])), ngc.Replace(z, 3)], + SIMULTANEOUS, + ) + assert ra.call_source_drops == 2 and ra.call_edge_drops == [] + assert ra.call_delivered == 2 and rz.call_delivered == 3 + # A repair mask first: source 1 takes the whole offer. + q = w.pin(a.program, mask=no_nodes(w.g, [0])) + rq, _ = run(w, [ngc.Replace(q, 4), ngc.Replace(z, 3)], SIMULTANEOUS) + assert rq.call_delivered == 4 and rq.call_source_drops == 0 + # An internal black-holed node. + w2 = World(graph(3, [(0, 1, 10, 1), (1, 2, 10, 1)])) + n = w2.pin(tunnel(w2.g, 0, 2, [0, 1]), black_holes=no_nodes(w2.g, [1])) + (rn,) = run(w2, [ngc.Replace(n, 6)], SIMULTANEOUS) + assert rn.by_tunnel[0].status == BLACKHOLED and rn.call_edge_drops == [(0, 6)] + + +def test_zero_service_and_zero_weight(): + w = World(graph(4, [(0, 1, 0, 1), (2, 3, 10, 1)])) + z = w.add(0, 1, ecmp()) + pos = w.pin(tunnel(w.g, 2, 3, [1])) + rz, rp = run(w, [ngc.Replace(z, 2), ngc.Replace(pos, 4)], SIMULTANEOUS) + assert rz.termination == ngc.Termination.COMPLETE and rz.call_edge_drops == [(0, 2)] + assert rp.call_delivered == 4 + w2 = World(graph(4, [(0, 1, 10, 1), (2, 3, 10, 1)])) + zw = w2.pin(tunnel(w2.g, 0, 1, [0], weight=0)) + pos2 = w2.pin(tunnel(w2.g, 2, 3, [1])) + rz, rp = run(w2, [ngc.Replace(zw, 2), ngc.Replace(pos2, 4)], SIMULTANEOUS) + assert rz.termination == ngc.Termination.NO_ACTIVE_WEIGHT + assert rz.call_source_drops == 2 and len(zw.records()) == 1 + assert rp.call_delivered == 4 + + +def test_pooled_roots_block_serial_pairs(): + def make(): + return graph(6, [(0, 1, 2, 1), (1, 2, 2, 1), (2, 3, 2, 1), (4, 5, 10, 1)]) + + scalar = World(make()) + want = plain(scalar.add([0, 1, 2], 3, ecmp()).replace(6)) + for beside in (False, True): + w = World(make()) + a = w.add([0, 1, 2], 3, ecmp()) + z = w.pin(tunnel(w.g, 4, 5, [3])) + actions = [ngc.Replace(a, 6)] + ([ngc.Replace(z, 1)] if beside else []) + r = run(w, actions, SIMULTANEOUS)[0] + assert plain(r) == want + assert r.call_delivered == 2 + assert [s.delivered for s in r.by_source] == [1, 0, 1] + + +def test_pooled_cycle_keeps_source_state(): + g, i = mapped( + 9, + [ + (0, 1, 1, 1), + (2, 3, 1, 1), + (4, 0, 100, 1), + (1, 2, 100, 1), + (5, 2, 100, 1), + (3, 6, 100, 1), + (7, 2, 100, 1), + (3, 0, 100, 1), + (1, 8, 100, 1), + ], + ) + w = World(g) + a = w.add([4, 5], 6, ecmp()) + b = w.pin(tunnel(g, 7, 8, [i[6], i[1], i[7], i[0], i[8]])) + ra, rb = run(w, [ngc.Replace(a, 2), ngc.Replace(b, 1)], SIMULTANEOUS) + assert ra.call_delivered == 1 and [s.delivered for s in ra.by_source] == [1, 0] + assert rb.call_delivered == 0 and rb.call_edge_drops == [(i[1], 1)] + + +def test_outputs_per_entry(): + w = World(graph(4, [(0, 2, 10, 1), (1, 2, 1, 1), (2, 3, 10, 1)])) + a = w.pin(tunnel(w.g, 0, 3, [0, 2])) + b = w.pin(tunnel(w.g, 1, 3, [1, 2])) + o = ngc.OutputOptions(residual=True, saturated_boundary_edges=True) + ra, rb = run(w, [ngc.Replace(a, 5), ngc.Replace(b, 1)], SIMULTANEOUS, o) + assert ra.residual.tolist() == [5, 0, 4] == rb.residual.tolist() + assert ra.saturated_boundary_edges == [] and rb.saturated_boundary_edges == [1] + + +def test_captured_weights_in_a_list(): + g = graph(3, [(0, 2, 3, 1), (1, 2, 1, 1)]) + prog = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, controller()).replace(4).program + w = World(g) + a = w.pin(prog) + b = w.pin(tunnel(g, 0, 2, [0])) + r = run(w, [ngc.Replace(a, 4), ngc.Replace(b, 1)], SIMULTANEOUS) + assert delivered(r) == [4, 0] and r[1].call_edge_drops == [(0, 1)] + + +# -- all or nothing ---------------------------------------------------------------------------- + + +def list_world(mode): + """Fresh state and a list of three actions that `mode` accepts (two pooled demands and a + Pinned one with black holes; each policy already holds records).""" + g = graph(5, [(0, 1, 5, 1), (0, 2, 3, 2), (1, 3, 5, 1), (2, 3, 3, 2), (3, 4, 6, 1)]) + w = World(g) + a = w.add([0, 1], 4, ecmp()) + b = w.pin(tunnel(g, 0, 4, [1, 3, 4]), black_holes=no_edges(g, [3])) + c = w.add(0, 4, ecmp(LL) if mode == ORDERED else ecmp()) + for p in (a, b, c): + p.replace(1) + return w, [ngc.Replace(a, 6), ngc.Replace(b, 4), ngc.Replace(c, 3)] + + +@needs_hooks +def test_lists_are_all_or_nothing(): + # Every Python allocation of the call (the list and its result objects, made before anything + # is published) fails in turn: MemoryError, nothing changed, then the call returns the + # reference. The call is positional (ORDERED, no outputs): pybind11's parsing of a call that + # passes keywords does not check its allocations (limit 1 of the module docstring), and mode + # and outputs are keyword-only. The binding's Python allocations do not depend on the mode; + # a SIMULTANEOUS list's native allocations are swept in test_native_allocation.py. + def make(): + w, actions = list_world(ORDERED) + return ngc.apply_actions, (w.ledger, actions), w.state + + assert sweep_python_allocation(make) >= 4 + # The same lists with every output and in both modes return the same as their reference. + for mode in (ORDERED, SIMULTANEOUS): + w, actions = list_world(mode) + twin, twin_actions = list_world(mode) + got = plain(ngc.apply_actions(w.ledger, actions, mode=mode, outputs=ALL)) + assert got == plain( + ngc.apply_actions(twin.ledger, twin_actions, mode=mode, outputs=ALL) + ) + + +@needs_hooks +def test_forwarding_bounds(): + # A list's joint network counts every participant: a Pinned program of two one-edge routes + # on PAR(6, 4) (2 entries, 2 occurrences, 4 routers; the 4-unit link drops: 1 event, 3 + # dependencies), a Pinned program of two 2-hop tunnels on a diamond (2 entries, 4 occurrences) + # and a pooled ShortestPaths demand of sources 6 and 7 (2 entries, 4 occurrences, 4 routers, 3 + # dependencies): 6 entries, 10 occurrences, 8 routers, 9 events, 6 dependencies. + g = graph( + 10, + [ + (0, 1, 6, 1), + (0, 1, 4, 1), + (2, 3, 100, 1), + (2, 4, 100, 1), + (3, 5, 100, 1), + (4, 5, 100, 1), + (6, 8, 100, 1), + (7, 8, 100, 1), + (8, 9, 100, 1), + ], + ) + w = World(g) + routes = [ngc.RouteDefinition(0, dag_of(g, [e]), weight=1) for e in (0, 1)] + a = w.pin(ngc.ForwardingProgram.from_routes(g, [0], [1], routes)) + b = w.pin(tunnels(g, [2], [5], [(2, [2, 4], 1), (2, [3, 5], 1)])) + c = w.add([6, 7], 9, ecmp()) + actions = [ngc.Replace(a, 12), ngc.Replace(b, 2), ngc.Replace(c, 2)] + + def call(*listed): + return ngc.apply_actions(w.ledger, list(listed), mode=SIMULTANEOUS) + + counts = [ + ("entry", 6), + ("occurrence", 10), + ("router", 8), + ("event", 9), + ("dependency", 6), + ] + for k, (name, n) in enumerate(counts): + limits = [0] * 5 + limits[k] = n - 1 + before = w.state() + value, error, structures = ext._with_forwarding_limits( + call, tuple(actions), limits + ) + assert value is None and type(error) is ValueError + assert str(error) == f"forwarding {name} limit exceeded: {n} > {n - 1}" + assert w.state() == before + if name in ("event", "dependency"): + assert structures == 0, name + for one in actions: # each participant alone stays within + assert ext._with_forwarding_limits(call, (one,), limits)[1] is None, name + limits[k] = n + value, error, structures = ext._with_forwarding_limits( + call, tuple(actions), limits + ) + assert error is None and len(value) == 3 and structures == 1, name + _, error, _ = ext._with_forwarding_limits(call, tuple(actions), [1] * 5) + assert str(error) == "forwarding entry limit exceeded: 6 > 1" + # The scalar call counts its own network: a's alone has 2 entries. + _, error, _ = ext._with_forwarding_limits(a.replace, (12,), [1, 0, 0, 0, 0]) + assert str(error) == "forwarding entry limit exceeded: 2 > 1" + + +# -- the generators ---------------------------------------------------------------------------- + + +class Generated: + """A world built from a seed (built twice, identically): a random DAG on nodes 0..5 (sources 0 + and 1, destination 5; nonuniform costs, capacities 0 to 8) plus a separate link 6 -> 7, and one + policy of each kind: ShortestPaths EQUAL LY (two sources), EQUAL LL, WEIGHTED LY with capacity, + explicit and residual-snapshot weights, EQUAL LY under a mask; OPTIMIZED LL; CentralizedTE LL; + T1 LY (two tunnels per head); T2 LY; Pinned LY over tunnels, over split routes, over from_dag + under a mask, over a controller program with black holes; Pinned LY on the separate link. Then + scalar calls, an orphan and an outside owner. None when a construction fails (both copies fail + alike). g: the first copy's graph, shared by the second (records compare their routes).""" + + LOSSY_REPLACE = ( + 0, + 2, + 3, + 4, + 5, + 10, + 11, + 12, + 13, + ) # what a SIMULTANEOUS Replace accepts + FORWARDABLE = (0, 2, 3, 4, 5, 8, 9) # LOSSY computing policies + SEPARATE = 14 + + @classmethod + def make(cls, seed, g=None): + rng = random.Random(seed) + rows = [ + (u, v, rng.randrange(9), 1 + rng.randrange(3)) + for u in range(6) + for v in range(u + 1, 6) + if rng.randrange(3) != 0 + ] + rows.append((6, 7, 10, 1)) + try: + return cls(rng, g or build(8, rows)) + except ValueError: + return None + + def __init__(self, rng, g): + self.w = w = World(g) + n_edges = g.num_edges() + sep = n_edges - 1 # 6 -> 7: the largest tail + tails = g.edge_sources().tolist() + heads_of = g.edge_destinations().tolist() + + def random_edge(): + return rng.randrange(n_edges - 1) + + def path_from(h): + path, u = [], h + while u != 5: + outs = [e for e in range(sep) if tails[e] == u] + if not outs: + return [] + e = rng.choice(outs) + path.append(e) + u = heads_of[e] + return path + + S, D = [0, 1], [5] + weighted = ngc.RouteAllocation.WEIGHTED + w.add(S, D, ecmp()) + w.add([0], D, ecmp(LL)) + w.add(S, D, config(shortest(allocation=weighted), admission=LY)) + explicit = shortest( + allocation=weighted, + weight_basis=ngc.WeightBasis.EXPLICIT, + edge_weights=[rng.randrange(4) for _ in range(n_edges)], + ) + w.add(S, D, config(explicit, admission=LY)) + snapshot = shortest( + allocation=weighted, weight_basis=ngc.WeightBasis.RESIDUAL_SNAPSHOT + ) + w.add([0], D, config(snapshot, admission=LY)) + w.add(S, D, ecmp(), no_edges(g, [random_edge()])) + w.add(S, D, config(ngc.ShortestPaths(), ngc.RouteAllocation.OPTIMIZED)) + w.add(S, D, controller()) + w.add(S, D, t1_config(2, LY)) + w.add(S, D, t2()) + specs = [] + for h in S: + for _ in range(2): + path = path_from(h) + if path: + specs.append((h, path, 1 + rng.randrange(3))) + if not specs: + raise ValueError("no tunnel") + heads = sorted({h for h, _, _ in specs}) + w.pin(tunnels(g, heads, D, specs)) + everything = dag_of(g, range(n_edges)) + split = [ + ngc.RouteDefinition(h, everything, weight=1 + rng.randrange(2)) + for h in heads + ] + w.pin(ngc.ForwardingProgram.from_routes(g, heads, D, split)) + w.pin( + ngc.ForwardingProgram.from_dag(g, S, D, everything), + mask=no_edges(g, [random_edge()]), + ) + prog = ngc.FlowPolicy(ngc.FlowLedger(g), S, D, controller()).replace(6).program + w.pin(prog, black_holes=no_edges(g, [random_edge()])) + w.pin(tunnel(g, 6, 7, [sep])) + # State before the list: scalar calls, an outside owner, an orphan. + w.p[0].place(rng.randrange(6)) + w.p[2].replace(rng.randrange(6)) + w.p[6].place(rng.randrange(6)) + w.p[8].replace(2, design_demand=2) + w.p[9].replace(2) + w.p[10].replace(rng.randrange(6)) + w.add(S, D, ecmp()).place(1 + rng.randrange(3)) + w.add([0], D, ecmp()).place(1 + rng.randrange(3)) + w.p.pop() + w.sources.pop() + w.masks.pop() + gc.collect() + + +def ordered_action(rng, w, i): + """One random valid ORDERED action on policy i of a generated world.""" + p = w.p[i] + routing, lossy = p.config.routing, p.config.admission == LY + tunnel_model = isinstance(routing, ngc.DistributedTE) or ( + isinstance(routing, ngc.CentralizedTE) and routing.tunnel_count is not None + ) + v = rng.randrange(13) + kind = rng.randrange(3) + if kind == 2 and not isinstance(routing, ngc.Pinned) and p.program is not None: + bh = None + if rng.randrange(3) == 0: + bh = no_edges(w.g, [rng.randrange(w.g.num_edges() - 1)]) + return ngc.Forward( + p, INF if not lossy and rng.randrange(4) == 0 else v, black_holes=bh + ) + if kind == 0 and not tunnel_model: + return ngc.Place(p, v) + if isinstance(routing, ngc.DistributedTE): + return ngc.Replace(p, v, design_demand=v + rng.randrange(3)) + return ngc.Replace(p, INF if not lossy and rng.randrange(4) == 0 else v) + + +def scalar(action, policy, outputs): + """The action as a scalar call of `policy` (its own policy, or its twin's).""" + if isinstance(action, ngc.Place): + return policy.place(action.offer, outputs) + if isinstance(action, ngc.Replace): + return policy.replace( + action.offer, design_demand=action.design_demand, outputs=outputs + ) + return policy.forward(action.offer, black_holes=action.black_holes, outputs=outputs) + + +def index_of(w, policy): + return next(k for k, p in enumerate(w.p) if p is policy) + + +def test_ordered_equals_scalar_calls(): + checked = forwards = holds = 0 + for seed in range(1, 201): + a = Generated.make(seed) + if a is None: + continue + b = Generated.make(seed, a.w.g) + rng = random.Random(seed * 7919) + order = list(range(len(a.w.p))) + rng.shuffle(order) + actions = [ordered_action(rng, a.w, i) for i in order[: 2 + rng.randrange(6)]] + try: + got, error = ( + plain(ngc.apply_actions(a.w.ledger, actions, outputs=ALL)), + None, + ) + except ValueError as e: + got, error = None, str(e) + want, scalar_error = [], None + for x in actions: + try: + want.append(plain(scalar(x, b.w.p[index_of(a.w, x.policy)], ALL))) + except ValueError as e: + scalar_error = str(e) + break + assert error == scalar_error, seed + if error is not None: + continue + assert got == want, seed + assert a.w.state() == b.w.state(), seed + forwards += sum(isinstance(x, ngc.Forward) for x in actions) + holds += any(a.w.ledger.reserved().tolist()) + checked += 1 + assert checked > 150 and forwards > 80 and holds > 30, (checked, forwards, holds) + + +def test_one_participant_equals_the_scalar_call(): + checked = pooled = black = 0 + for seed in range(1, 301): + a = Generated.make(seed) + if a is None: + continue + b = Generated.make(seed, a.w.g) + rng = random.Random(seed * 104729) + forward = rng.randrange(2) == 0 + pool = Generated.FORWARDABLE if forward else Generated.LOSSY_REPLACE + i = rng.choice(pool) + v = rng.randrange(13) + p = a.w.p[i] + if forward: + if p.program is None: + p.replace(1) + b.w.p[i].replace(1) + bh = None + if rng.randrange(2) == 0: + bh = no_edges(a.w.g, [rng.randrange(a.w.g.num_edges() - 1)]) + black += 1 + actions = [ngc.Forward(p, v, black_holes=bh)] + else: + actions = [ngc.Replace(p, v)] + pooled += i <= 5 + pair = rng.randrange(2) == 0 + if pair: + separate = a.w.p[Generated.SEPARATE] + actions.append(ngc.Replace(separate, rng.randrange(13))) + got = plain( + ngc.apply_actions(a.w.ledger, actions, mode=SIMULTANEOUS, outputs=ALL) + ) + want = [plain(scalar(x, b.w.p[index_of(a.w, x.policy)], ALL)) for x in actions] + # The scalar calls' outputs read the ledger after each; the list's after both: with the + # pair, each entry's residual is the one after the list (the other one is disjoint). + if pair: + want[0]["residual"] = want[1]["residual"] + want[0]["saturated_boundary_edges"] = b.w.ledger.saturated_boundary_edges( + b.w.sources[i], b.w.masks[i] + ) + assert got == want, (seed, i) + assert a.w.state() == b.w.state(), (seed, i) + checked += 1 + assert checked > 200 and pooled > 60 and black > 40, (checked, pooled, black) diff --git a/tests/py/test_contract_examples.py b/tests/py/test_contract_examples.py index 4d3f6db..9698124 100644 --- a/tests/py/test_contract_examples.py +++ b/tests/py/test_contract_examples.py @@ -2,8 +2,8 @@ values (copied as written), one adapter per kind of example that builds the input with the library and returns what the example names, compared field by field (an expected mapping may name fewer fields than the adapter returns; an int is not a float or a bool; a Fraction compares by its exact -string). The examples whose mechanism needs several demands at once or concurrent publication are -not here. +string). The examples of several demands at once run as one apply_actions list (each route or head +its own demand); the examples of concurrent publication are not here. Examples given as routes of link indices (no nodes) are laid out as one head, a feeder link to each route's first link, a connector between consecutive links and an exit link to one destination; @@ -19,6 +19,7 @@ from decimal import Decimal from fractions import Fraction +import _netgraph_core as ext import numpy as np import pytest @@ -1406,7 +1407,9 @@ def input_class(call, *args): def run_input_classes(cases): """Each value at its position: an spf or ksp search option (read at the call), place's offer - (on a fresh policy), a ledger's service baseline over links of capacities `caps`.""" + (on a fresh policy), a ledger's service baseline over links of capacities `caps`, or one Place + of a LOSSY ShortestPaths policy of a fresh ledger in an ORDERED apply_actions list, with the + case's ledger (the policy's own, or None).""" g = ngc.Graph(2, [0], [1], [10], [1], 1.0) forward = ngc.Direction.FORWARD @@ -1414,6 +1417,13 @@ def baseline(v, caps): k = len(caps) return ngc.FlowLedger(ngc.Graph(2, [0] * k, [1] * k, caps, [1] * k, 1.0), v) + def listed(v, _): + ledger = ngc.FlowLedger(g) + p = policy(g, 0, 1, config(ngc.ShortestPaths(), LY), ledger=ledger) + action = ngc.Place(p, input_value(v["offer"])) # its construction comes first + own = None if input_value(v["ledger"]) is None else ledger + return ngc.apply_actions(own, [action]) + calls = { "spf min_residual": lambda v, _: ngc.spf( g, 0, ngc.SpfOptions(forward, min_residual=v) @@ -1423,6 +1433,7 @@ def baseline(v, caps): v ), "service_baseline": baseline, + "apply_actions": listed, } out = [] for case in cases: @@ -1481,6 +1492,334 @@ def resolution(q): return out +# -- several demands at once (apply_actions) --------------------------------------------------- + + +def several_demands_layout(cap, routes): + """The list layout of routes given as link indices: each route is its own demand from its own + head (node i) to one destination (node n); each example link gets its own two nodes, joined to + the next link of a route by a link that never limits anything, except where every occurrence + of e continues on f and every occurrence of f comes from e: there e's head is f's tail (no + join), so the examples' serial pairs stay pairs. Returns the graph, per example link its + EdgeId and per route its path of EdgeIds.""" + nxt = [set() for _ in cap] + prv = [set() for _ in cap] + for r in routes: + for j, e in enumerate(r): + nxt[e].add(r[j + 1] if j + 1 < len(r) else -1) + prv[e].add(r[j - 1] if j > 0 else -1) + + def fused(e, f): + return nxt[e] == {f} and prv[f] == {e} + + n = len(routes) + tail = [n + 1 + e for e in range(len(cap))] + node = n + 1 + len(cap) + head = [] + for e in range(len(cap)): + f = next(iter(nxt[e])) if len(nxt[e]) == 1 else -1 + if f >= 0 and fused(e, f): + head.append(tail[f]) + else: + head.append(node) + node += 1 + rows = [(tail[e], head[e], c, 1) for e, c in enumerate(cap)] + positions = [] + for i, r in enumerate(routes): + path = [len(rows)] + rows.append((i, tail[r[0]], WIDE, 1)) + for j, e in enumerate(r): + path.append(e) + if j + 1 < len(r) and not fused(e, r[j + 1]): + path.append(len(rows)) + rows.append((head[e], tail[r[j + 1]], WIDE, 1)) + path.append(len(rows)) + rows.append((head[r[-1]], n, WIDE, 1)) + positions.append(path) + g = ngc.Graph(node, *([row[k] for row in rows] for k in range(4)), 1.0) + ids = [0] * len(rows) + for e, position in enumerate(g.input_positions().tolist()): + ids[position] = e + return g, ids, [[ids[k] for k in path] for path in positions] + + +def run_list_lossy(offers, routes, cap): + """Each route its own demand: a Pinned LOSSY policy over one tunnel, created in route order, + all replaced in one SIMULTANEOUS list. Per demand its arrivals, carried and drops on each link + of its route (from its records), its delivery, and per example link the total carried.""" + g, ids, paths = several_demands_layout(cap, routes) + n = len(routes) + ledger = ngc.FlowLedger(g) + policies = [] + for i, path in enumerate(paths): + program = ngc.ForwardingProgram.from_routes( + g, [i], [n], [ngc.RouteDefinition(i, path_of(g, path))] + ) + policies.append(pinned(g, program, LY, ledger=ledger)) + actions = [ngc.Replace(p, o) for p, o in zip(policies, offers, strict=True)] + try: + results = ngc.apply_actions(ledger, actions, mode=ngc.BatchMode.SIMULTANEOUS) + except ValueError as e: + return dict(error=str(e)) + arrivals, carried, edge_drops = [], [], [] + for p, route in zip(policies, routes, strict=True): + flows, drops = {}, {} + for rec in p.records(): + for e, x in rec.edge_flows: + flows[e] = flows.get(e, 0) + x + for e, x in rec.edge_drops: + drops[e] = drops.get(e, 0) + x + carried.append([flows.get(ids[e], 0) for e in route]) + edge_drops.append([drops.get(ids[e], 0) for e in route]) + arrivals.append( + [c + d for c, d in zip(carried[-1], edge_drops[-1], strict=True)] + ) + total = ledger.carried().tolist() + return dict( + arrivals=arrivals, + carried=carried, + edge_drops=edge_drops, + delivered=[r.call_delivered for r in results], + edge_flows=[total[ids[e]] for e in range(len(cap))], + ) + + +def run_stale_list(edges, tunnels, offers, black_links=(), black_nodes=()): + """Each head its own demand (the examples' labels): a Pinned LOSSY policy over its tunnels with + the example's black holes, created in head order, all replaced in one SIMULTANEOUS list. The + statuses come from each policy's evaluation of 0 (they depend on the program and the black + holes only).""" + g = graph_of(edges) + ledger = ngc.FlowLedger(g) + holes = edge_mask(g, black_links, black_nodes) + policies, actions = [], [] + for h in sorted(offers): + mine = [p for th, p in tunnels if th == h] + program = ngc.ForwardingProgram.from_routes( + g, + [h], + [edges[mine[0][-1]][1]], + [ngc.RouteDefinition(h, path_of(g, p)) for p in mine], + ) + policies.append(pinned(g, program, LY, black_holes=holes, ledger=ledger)) + actions.append(ngc.Replace(policies[-1], offers[h])) + status = [t.status.name for p in policies for t in p.evaluate(0).by_tunnel] + try: + results = ngc.apply_actions(ledger, actions, mode=ngc.BatchMode.SIMULTANEOUS) + except ValueError as e: + return dict(error=str(e), status=status) + return dict(status=status, delivered=[r.call_delivered for r in results]) + + +def run_action_list(edges, actions, mode): + """One-tunnel LOSSY Pinned participants created in list order on a fresh ledger, replaced in + one list of the mode: per entry its delivery, drops, tunnel status, residual and + saturated_boundary_edges (from the entry's own source).""" + g = graph_of(edges) + ledger = ngc.FlowLedger(g) + listed = [] + for a in actions: + route = path_of(g, a["route"]) + program = ngc.ForwardingProgram.from_routes( + g, + [a["source"]], + [route.destination()], + [ngc.RouteDefinition(a["source"], route)], + ) + holes = edge_mask(g, a.get("black_holes", ())) + listed.append( + ngc.Replace( + pinned(g, program, LY, black_holes=holes, ledger=ledger), a["offer"] + ) + ) + outputs = ngc.OutputOptions(residual=True, saturated_boundary_edges=True) + try: + results = ngc.apply_actions( + ledger, listed, mode=getattr(ngc.BatchMode, mode), outputs=outputs + ) + except ValueError as e: + return dict(error=str(e)) + entries = [ + dict( + delivered=r.call_delivered, + call_edge_drops=[list(x) for x in r.call_edge_drops], + status=r.by_tunnel[0].status.name, + residual=r.residual.tolist(), + saturated_boundary_edges=r.saturated_boundary_edges, + ) + for r in results + ] + return dict(entries=entries) + + +def run_list_validation(cases): + """Each case's list with real policies, on one ledger per case over CYC(1, 2) plus a separate + link 6 -> 7 of 10: an action's policy (by name, created at its first use) has the case's model + and admission on 6 -> 7, a foreign one is of another ledger; a Pinned action that `computes` + the period-2 error is the step-3 cycle (two crossing tunnels from 4, weights 1 and 2) with that + cycle's offer 3 in place of the case's, another Pinned one a tunnel over 6 -> 7; `program` installs the policy's program first (a replace or a + place of 1), `after_infinite` places +inf first, `foreign_black_holes` gives black holes of + another graph. The list's first error, or "valid".""" + rows = [ + (0, 1, 1, 1), + (1, 2, 1000, 1), + (1, 5, 1000, 1), + (2, 3, 2, 1), + (3, 0, 1000, 1), + (3, 5, 1000, 1), + (4, 0, 1000, 1), + (4, 2, 1000, 1), + (6, 7, 10, 1), + ] + models = { + "ShortestPaths": lambda: ngc.ShortestPaths(), + "DistributedTE": lambda: ngc.DistributedTE(ngc.TunnelCount(1)), + "CentralizedTE": lambda: ngc.CentralizedTE(source_allocation=S.OPTIMIZED), + } + out = [] + for case in cases: + g = graph_of(rows) + ledger = ngc.FlowLedger(g) + policies, listed = {}, [] + for a in case["actions"]: + admission = getattr(ngc.Admission, a["admission"]) + if a["policy"] not in policies: + own = ngc.FlowLedger(g) if a.get("foreign") else ledger + if a["model"] != "Pinned": + cfg = config(models[a["model"]](), admission) + p = policy(g, 6, 7, cfg, ledger=own) + elif a.get("computes"): + cyc = [(4, [6, 0, 1, 3, 5], 1), (4, [7, 3, 4, 0, 2], 2)] + routes = [ + ngc.RouteDefinition(h, path_of(g, es), weight=w) + for h, es, w in cyc + ] + program = ngc.ForwardingProgram.from_routes(g, [4], [5], routes) + p = pinned(g, program, admission, ledger=own) + else: + program = ngc.ForwardingProgram.from_routes( + g, [6], [7], [ngc.RouteDefinition(6, path_of(g, [8]))] + ) + p = pinned(g, program, admission, ledger=own) + if a.get("program"): + (p.place if admission == LL else p.replace)(1) + if a.get("after_infinite"): + p.place(INF) + policies[a["policy"]] = p + p = policies[a["policy"]] + offer = INF if a["offer"] == "inf" else a["offer"] + if a.get("computes"): + offer = 3 + if a["kind"] == "Place": + listed.append(ngc.Place(p, offer)) + elif a["kind"] == "Replace": + listed.append( + ngc.Replace(p, offer, design_demand=a.get("design_demand")) + ) + else: + holes = None + if a.get("foreign_black_holes"): + holes = graph_of(rows).eligibility(excluded_edges=[8]) + listed.append(ngc.Forward(p, offer, black_holes=holes)) + try: + ngc.apply_actions(ledger, listed, mode=getattr(ngc.BatchMode, case["mode"])) + out.append("valid") + except ValueError as e: + out.append(str(e)) + return out + + +def run_forwarding_size(cases): + """The forwarding sizes' counting step on each case's sizes (per participant, groups of + (tunnels, path length)): the entry count, then the occurrence count, each exact against + 2^31 - 1 (the networks cannot be built at these sizes; test_apply_actions.py shows the same + refusals end to end under lowered limits). Needs the private hooks.""" + if not hasattr(ext, "_check_forwarding_count"): + pytest.skip("needs the private hooks (NETGRAPH_CORE_PRIVATE_HOOKS)") + out = [] + for participants in cases: + groups = [group for participant in participants for group in participant] + entries = sum(count for count, _ in groups) + occurrences = sum(count * length for count, length in groups) + try: + ext._check_forwarding_count(0, entries) + ext._check_forwarding_count(1, occurrences) + out.append("within the entry and occurrence limits") + except ValueError as e: + out.append(str(e)) + return out + + +def own_highest_averages(x, w): + """Unit-at-a-time highest averages by exact cross-multiplication, ties to the earlier label: + the test's own, sharing nothing with the library.""" + a = [0] * len(w) + for _ in range(x): + best = None + for i, wi in enumerate(w): + if wi > 0 and (best is None or wi * (a[best] + 1) > w[best] * (a[i] + 1)): + best = i + if best is None: + return [0] * len(w) + a[best] += 1 + return a + + +def run_c3(offers, routes, cap): + """The C3 instance (A: links 0, 1; B: 1, 2; C: 2, 0): every integer carried record within the + continuation bounds (a demand's carried on a link at most its arrival there) and work + conservation (each link carries min(capacity, arrivals)), each checked against the link + equations with the test's own highest averages; the library's highest averages (private hooks) + agrees with it on every equation evaluated; and the list itself raises the period-2 error.""" + assert offers == [1, 1, 2] and routes == [[0, 1], [1, 2], [2, 0]] + records = solutions = 0 + violations = [] + for a0, a1, b1, b2, c2, c0 in itertools.product( + range(2), range(2), range(2), range(2), range(3), range(3) + ): + if a1 > a0 or b2 > b1 or c0 > c2: + continue + # Arrivals: A 1 then a0; B 1 then b1; C 2 then c2. Links: 0 (A, C), 1 (A, B), 2 (B, C). + links = [([1, c2], [a0, c0]), ([a0, 1], [a1, b1]), ([b1, 2], [b2, c2])] + if any( + sum(car) != min(v, sum(arr)) + for (arr, car), v in zip(links, cap, strict=True) + ): + continue + records += 1 + bad = [] + for k, ((arr, car), v) in enumerate(zip(links, cap, strict=True)): + t = min(v, sum(arr)) + mine = own_highest_averages(t, arr) + if hasattr(ext, "_highest_averages") and all(arr): + assert ext._highest_averages(t, arr) == mine, (arr, t) + if mine != car: + bad.append(k) + solutions += not bad + violations.append(bad) + assert violations == [[2], [0], [0, 1, 2], [1], [0]], violations + assert run_list_lossy(offers, routes, cap) == dict( + error="lossy forwarding iteration entered a period-2 cycle" + ) + return dict(feasible_work_conserving_records=records, local_H_solutions=solutions) + + +# The examples of several demands at once that share an oracle with a single program's: each +# route (or head) is its own demand, all in one SIMULTANEOUS list. +SEVERAL_DEMANDS = { + "D-crossing": run_list_lossy, + "D-simultaneous": run_list_lossy, + "D-C3": run_list_lossy, + "D-cycle-prefix-suffix": run_list_lossy, + "D-cycle-subdivision-before": run_list_lossy, + "D-cycle-subdivision-after": run_list_lossy, + "STALE-cycle-period-2": run_stale_list, + "STALE-cycle-round-limit-baseline": run_stale_list, + "STALE-cycle-round-limit": run_stale_list, + "STALE-black-hole-in-cycle": run_stale_list, +} + + ADAPTERS = { "ha": run_ha, "split_error": run_split_error, @@ -1517,6 +1856,10 @@ def resolution(q): "ownership_texts": run_ownership_texts, "input_texts": run_input_texts, "input_classes": run_input_classes, + "action_list": run_action_list, + "list_validation": run_list_validation, + "forwarding_size": run_forwarding_size, + "c3": run_c3, "number_types": run_number_types, } @@ -5230,6 +5573,704 @@ def resolution(q): ], ], }, + # Several demands at once (apply_actions). + { + "id": "D-crossing", + "oracle": "lossy", + "input": {"offers": [8, 4, 4], "routes": [[0, 1], [0], [1]], "cap": [9, 7]}, + "expected": { + "arrivals": [[8, 6], [4], [4]], + "carried": [[6, 4], [3], [3]], + "edge_drops": [[2, 2], [1], [1]], + "delivered": [4, 3, 3], + "edge_flows": [9, 7], + }, + }, + { + "id": "D-simultaneous", + "oracle": "lossy", + "input": {"offers": [10, 10], "routes": [[0], [0]], "cap": [10]}, + "expected": { + "carried": [[5], [5]], + "edge_drops": [[5], [5]], + "delivered": [5, 5], + "edge_flows": [10], + }, + }, + { + "id": "D-C3", + "oracle": "lossy", + "input": { + "offers": [1, 1, 2], + "routes": [[0, 1], [1, 2], [2, 0]], + "cap": [1, 1, 2], + }, + "expected": { + "error": "lossy forwarding iteration entered a period-2 cycle", + "rounds": 3, + }, + }, + { + "id": "D-cycle-prefix-suffix", + "oracle": "lossy", + "input": { + "offers": [8, 4], + "routes": [[0, 1, 2], [2, 1, 3]], + "cap": [2, 5, 5, 10], + }, + "expected": { + "arrivals": [[8, 2, 2], [4, 3, 3]], + "carried": [[2, 2, 2], [3, 3, 3]], + "edge_drops": [[6, 0, 0], [1, 0, 0]], + "delivered": [2, 3], + "edge_flows": [2, 5, 5, 3], + }, + }, + { + "id": "D-cycle-subdivision-before", + "oracle": "lossy", + "input": { + "offers": [2, 1, 4], + "routes": [[1, 0, 2], [2, 0], [2, 0, 1]], + "cap": [2, 4, 2], + }, + "expected": { + "arrivals": [[2, 2, 1], [1, 0], [4, 2, 1]], + "carried": [[2, 1, 0], [0, 0], [2, 1, 1]], + "delivered": [0, 0, 1], + "edge_flows": [2, 3, 2], + }, + }, + { + "id": "D-cycle-subdivision-after", + "oracle": "lossy", + "input": { + "offers": [2, 1, 4], + "routes": [[1, 0, 2, 3], [2, 3, 0], [2, 3, 0, 1]], + "cap": [2, 4, 2, 2], + }, + "expected": { + "arrivals": [[2, 2, 1, 0], [1, 0, 0], [4, 2, 2, 1]], + "carried": [[2, 1, 0, 0], [0, 0, 0], [2, 2, 1, 1]], + "delivered": [0, 0, 1], + "edge_flows": [2, 3, 2, 2], + }, + }, + { + "id": "D-no-H-fixed-point", + "oracle": "c3", + "input": { + "offers": [1, 1, 2], + "routes": [[0, 1], [1, 2], [2, 0]], + "cap": [1, 1, 2], + }, + "expected": {"feasible_work_conserving_records": 5, "local_H_solutions": 0}, + }, + { + "id": "STALE-cycle-period-2", + "oracle": "stale_paths", + "input": { + "edges": [ + [0, 1, 768, 1], + [1, 2, 25600, 1], + [2, 3, 768, 1], + [3, 0, 25600, 1], + [4, 2, 25600, 1], + [5, 0, 25600, 1], + [6, 2, 25600, 1], + [7, 8, 25600, 1], + ], + "tunnels": [[4, [4, 2, 3, 0]], [5, [5, 0, 1, 2]], [6, [6, 2]], [7, [7]]], + "offers": {4: 1024, 5: 256, 6: 256, 7: 512}, + "black_links": [7], + }, + "expected": { + "error": "lossy forwarding iteration entered a period-2 cycle", + "rounds": 8, + }, + }, + { + "id": "STALE-cycle-round-limit-baseline", + "oracle": "stale_paths", + "input": { + "edges": [ + [0, 1, 12, 1], + [1, 6, 1000, 1], + [2, 3, 9, 1], + [3, 0, 1000, 1], + [3, 10, 1000, 1], + [4, 5, 7, 1], + [5, 6, 1000, 1], + [6, 7, 13, 1], + [7, 2, 1000, 1], + [7, 10, 1000, 1], + [8, 9, 1, 1], + [10, 11, 10, 1], + [11, 2, 1000, 1], + [12, 4, 1000, 1], + [13, 6, 1000, 1], + [14, 0, 1000, 1], + ], + "tunnels": [ + [12, [13, 5, 6, 7, 8, 2, 4, 11]], + [13, [14, 7, 9, 11, 12, 2, 3, 0]], + [14, [15, 0, 1, 7]], + ], + "offers": {12: 13, 13: 11, 14: 10}, + }, + "expected": {"delivered": [3, 4, 4]}, + }, + { + "id": "STALE-cycle-round-limit", + "oracle": "stale_paths", + "input": { + "edges": [ + [0, 1, 12, 1], + [1, 6, 1000, 1], + [2, 3, 9, 1], + [3, 0, 1000, 1], + [3, 10, 1000, 1], + [4, 5, 7, 1], + [5, 6, 1000, 1], + [6, 7, 13, 1], + [7, 2, 1000, 1], + [7, 10, 1000, 1], + [8, 9, 1, 1], + [10, 11, 10, 1], + [11, 2, 1000, 1], + [12, 4, 1000, 1], + [13, 6, 1000, 1], + [14, 0, 1000, 1], + ], + "tunnels": [ + [12, [13, 5, 6, 7, 8, 2, 4, 11]], + [13, [14, 7, 9, 11, 12, 2, 3, 0]], + [14, [15, 0, 1, 7]], + ], + "offers": {12: 13, 13: 11, 14: 10}, + "black_links": [5], + }, + "expected": { + "error": "lossy forwarding iteration did not reach a fixed point within the round limit", + "rounds": 256, + }, + }, + { + "id": "STALE-black-hole-in-cycle", + "oracle": "stale_paths", + "input": { + "edges": [ + [0, 1, 12, 1], + [1, 6, 1000, 1], + [1, 16, 1000, 1], + [2, 3, 9, 1], + [3, 0, 1000, 1], + [3, 10, 1000, 1], + [4, 5, 7, 1], + [5, 6, 1000, 1], + [6, 7, 13, 1], + [7, 2, 1000, 1], + [7, 10, 1000, 1], + [8, 9, 1, 1], + [10, 11, 10, 1], + [11, 2, 1000, 1], + [12, 4, 1000, 1], + [13, 6, 1000, 1], + [14, 0, 1000, 1], + [15, 0, 1000, 1], + [16, 2, 1000, 1], + ], + "tunnels": [ + [12, [14, 6, 7, 8, 9, 3, 5, 12]], + [13, [15, 8, 10, 12, 13, 3, 4, 0]], + [14, [16, 0, 1, 8]], + [15, [17, 0, 2, 18, 3, 5, 12]], + ], + "offers": {12: 13, 13: 11, 14: 10, 15: 5}, + "black_links": [2, 6, 17], + }, + "expected": { + "status": ["BLACKHOLED", "UP", "UP", "BLACKHOLED"], + "error": "lossy forwarding iteration did not reach a fixed point within the round limit", + "rounds": 256, + }, + }, + { + "id": "LIST-black-hole-in-cycle", + "oracle": "action_list", + "input": { + "edges": [ + [0, 1, 12, 1], + [1, 6, 1000, 1], + [1, 16, 1000, 1], + [2, 3, 9, 1], + [3, 0, 1000, 1], + [3, 10, 1000, 1], + [4, 5, 7, 1], + [5, 6, 1000, 1], + [6, 7, 13, 1], + [7, 2, 1000, 1], + [7, 10, 1000, 1], + [8, 9, 1, 1], + [10, 11, 10, 1], + [11, 2, 1000, 1], + [12, 4, 1000, 1], + [13, 6, 1000, 1], + [14, 0, 1000, 1], + [15, 0, 1000, 1], + [16, 2, 1000, 1], + ], + "actions": [ + { + "source": 12, + "route": [14, 6, 7, 8, 9, 3, 5, 12], + "offer": 13, + "black_holes": [2, 6, 17], + }, + { + "source": 13, + "route": [15, 8, 10, 12, 13, 3, 4, 0], + "offer": 11, + "black_holes": [2, 6, 17], + }, + { + "source": 14, + "route": [16, 0, 1, 8], + "offer": 10, + "black_holes": [2, 6, 17], + }, + { + "source": 15, + "route": [17, 0, 2, 18, 3, 5, 12], + "offer": 5, + "black_holes": [2, 6, 17], + }, + ], + "mode": "SIMULTANEOUS", + }, + "expected": { + "error": "lossy forwarding iteration did not reach a fixed point within the round limit", + "rounds": 256, + }, + }, + { + "id": "LIST-black-hole-own", + "oracle": "action_list", + "input": { + "edges": [[0, 1, 10, 1]], + "actions": [ + {"source": 0, "route": [0], "offer": 10, "black_holes": [0]}, + {"source": 0, "route": [0], "offer": 10}, + ], + "mode": "SIMULTANEOUS", + }, + "expected": { + "entries": [ + { + "delivered": 0, + "call_edge_drops": [[0, 10]], + "status": "BLACKHOLED", + "residual": [0], + "saturated_boundary_edges": [0], + }, + { + "delivered": 10, + "call_edge_drops": [], + "status": "UP", + "residual": [0], + "saturated_boundary_edges": [0], + }, + ] + }, + }, + { + "id": "LIST-black-hole-upstream", + "oracle": "action_list", + "input": { + "edges": [[0, 1, 10, 1], [1, 2, 10, 1]], + "actions": [ + {"source": 0, "route": [0, 1], "offer": 10, "black_holes": [1]}, + {"source": 0, "route": [0, 1], "offer": 10}, + ], + "mode": "SIMULTANEOUS", + }, + "expected": { + "entries": [ + { + "delivered": 0, + "call_edge_drops": [[0, 5], [1, 5]], + "status": "BLACKHOLED", + "residual": [0, 5], + "saturated_boundary_edges": [0], + }, + { + "delivered": 5, + "call_edge_drops": [[0, 5]], + "status": "UP", + "residual": [0, 5], + "saturated_boundary_edges": [0], + }, + ] + }, + }, + { + "id": "LIST-outputs-ordered", + "oracle": "action_list", + "input": { + "edges": [[0, 1, 10, 1]], + "actions": [ + {"source": 0, "route": [0], "offer": 7}, + {"source": 0, "route": [0], "offer": 7}, + ], + "mode": "ORDERED", + }, + "expected": { + "entries": [ + { + "delivered": 7, + "call_edge_drops": [], + "residual": [3], + "saturated_boundary_edges": [], + }, + { + "delivered": 3, + "call_edge_drops": [[0, 4]], + "residual": [0], + "saturated_boundary_edges": [0], + }, + ] + }, + }, + { + "id": "LIST-outputs-simultaneous", + "oracle": "action_list", + "input": { + "edges": [[0, 2, 5, 1], [1, 2, 10, 1], [2, 3, 10, 1]], + "actions": [ + {"source": 0, "route": [0, 2], "offer": 5}, + {"source": 1, "route": [1, 2], "offer": 5}, + ], + "mode": "SIMULTANEOUS", + }, + "expected": { + "entries": [ + { + "delivered": 5, + "call_edge_drops": [], + "residual": [0, 5, 0], + "saturated_boundary_edges": [0], + }, + { + "delivered": 5, + "call_edge_drops": [], + "residual": [0, 5, 0], + "saturated_boundary_edges": [2], + }, + ] + }, + }, + { + "id": "LIST-first-error", + "oracle": "list_validation", + "input": { + "cases": [ + { + "mode": "ORDERED", + "actions": [ + { + "kind": "Replace", + "policy": "a", + "model": "ShortestPaths", + "admission": "LOSSY", + "offer": -1, + }, + { + "kind": "Replace", + "policy": "x", + "model": "ShortestPaths", + "admission": "LOSSY", + "offer": 1, + "foreign": True, + }, + ], + }, + { + "mode": "ORDERED", + "actions": [ + { + "kind": "Replace", + "policy": "a", + "model": "ShortestPaths", + "admission": "LOSSY", + "offer": 1, + }, + { + "kind": "Replace", + "policy": "a", + "model": "ShortestPaths", + "admission": "LOSSY", + "offer": -1, + }, + ], + }, + { + "mode": "SIMULTANEOUS", + "actions": [ + { + "kind": "Forward", + "policy": "a", + "model": "ShortestPaths", + "admission": "LOSSY", + "offer": "inf", + } + ], + }, + { + "mode": "SIMULTANEOUS", + "actions": [ + { + "kind": "Place", + "policy": "a", + "model": "ShortestPaths", + "admission": "LOSSLESS", + "offer": 1, + } + ], + }, + { + "mode": "SIMULTANEOUS", + "actions": [ + { + "kind": "Replace", + "policy": "t", + "model": "DistributedTE", + "admission": "LOSSLESS", + "offer": 1, + } + ], + }, + { + "mode": "SIMULTANEOUS", + "actions": [ + { + "kind": "Forward", + "policy": "c", + "model": "CentralizedTE", + "admission": "LOSSLESS", + "offer": "inf", + "program": True, + } + ], + }, + { + "mode": "SIMULTANEOUS", + "actions": [ + { + "kind": "Replace", + "policy": "a", + "model": "Pinned", + "admission": "LOSSY", + "offer": 1, + "computes": "lossy forwarding iteration entered a period-2 cycle", + }, + { + "kind": "Replace", + "policy": "b", + "model": "Pinned", + "admission": "LOSSY", + "offer": 4611686018427387904, + }, + ], + }, + { + "mode": "SIMULTANEOUS", + "actions": [ + { + "kind": "Replace", + "policy": "a", + "model": "Pinned", + "admission": "LOSSY", + "offer": 1, + "computes": "lossy forwarding iteration entered a period-2 cycle", + }, + { + "kind": "Replace", + "policy": "b", + "model": "Pinned", + "admission": "LOSSY", + "offer": 1, + }, + ], + }, + { + "mode": "ORDERED", + "actions": [ + { + "kind": "Place", + "policy": "t", + "model": "DistributedTE", + "admission": "LOSSLESS", + "offer": -1, + } + ], + }, + { + "mode": "ORDERED", + "actions": [ + { + "kind": "Forward", + "policy": "p", + "model": "Pinned", + "admission": "LOSSY", + "offer": "inf", + } + ], + }, + { + "mode": "ORDERED", + "actions": [ + { + "kind": "Place", + "policy": "a", + "model": "ShortestPaths", + "admission": "LOSSY", + "offer": 5, + "after_infinite": True, + }, + { + "kind": "Replace", + "policy": "x", + "model": "ShortestPaths", + "admission": "LOSSY", + "offer": 1, + "foreign": True, + }, + ], + }, + { + "mode": "ORDERED", + "actions": [ + { + "kind": "Replace", + "policy": "a", + "model": "ShortestPaths", + "admission": "LOSSY", + "offer": 1, + "design_demand": 5, + }, + { + "kind": "Replace", + "policy": "x", + "model": "ShortestPaths", + "admission": "LOSSY", + "offer": 1, + "foreign": True, + }, + ], + }, + { + "mode": "ORDERED", + "actions": [ + { + "kind": "Forward", + "policy": "a", + "model": "ShortestPaths", + "admission": "LOSSY", + "offer": 1, + "program": True, + "foreign_black_holes": True, + }, + { + "kind": "Replace", + "policy": "x", + "model": "ShortestPaths", + "admission": "LOSSY", + "offer": 1, + "foreign": True, + }, + ], + }, + {"mode": "SIMULTANEOUS", "actions": []}, + ] + }, + "expected": [ + "offer must be an integer in [0, 2^62) or permitted +inf", + "duplicate policy in list", + "SIMULTANEOUS requires finite offers", + "SIMULTANEOUS does not accept Place", + "SIMULTANEOUS Replace requires ShortestPaths EQUAL or WEIGHTED, or Pinned", + "SIMULTANEOUS requires admission=LOSSY", + "offer must be an integer in [0, 2^62) or permitted +inf", + "lossy forwarding iteration entered a period-2 cycle", + "DistributedTE does not support incremental placement", + "Pinned forwards with replace", + "finite placement after infinite placement requires a new epoch", + "ShortestPaths does not accept design_demand", + "black_holes belongs to another graph", + "valid", + ], + }, + { + "id": "ERR-forwarding-limit", + "oracle": "forwarding_size", + "input": { + "cases": [ + [[[10000, 214749]]], + [[[10000, 214748], [1, 3647]]], + [[[10000, 214748], [1, 3648]]], + [[[1, 1073741824]]], + [[[1, 1073741824]], [[1, 1073741824]]], + [[[2147483648, 1]]], + ] + }, + "expected": [ + "forwarding occurrence limit exceeded: 2147490000 > 2147483647", + "within the entry and occurrence limits", + "forwarding occurrence limit exceeded: 2147483648 > 2147483647", + "within the entry and occurrence limits", + "forwarding occurrence limit exceeded: 2147483648 > 2147483647", + "forwarding entry limit exceeded: 2147483648 > 2147483647", + ], + }, + { + "id": "ERR-class-list", + "oracle": "input_classes", + "input": { + "cases": [ + { + "entry": "apply_actions", + "values": [ + {"ledger": "own", "offer": ["bool", 1]}, + {"ledger": "own", "offer": ["str", "1"]}, + {"ledger": "own", "offer": ["fraction", 3, 2]}, + {"ledger": "own", "offer": ["float", 1.5]}, + {"ledger": "own", "offer": 9223372036854775808}, + {"ledger": "own", "offer": -1}, + {"ledger": ["none"], "offer": 5}, + {"ledger": ["none"], "offer": ["bool", 1]}, + {"ledger": ["none"], "offer": -1}, + {"ledger": "own", "offer": ["float", "inf"]}, + {"ledger": "own", "offer": 5}, + ], + } + ] + }, + "expected": [ + [ + "TypeError: offer must be an int or a float (got bool)", + "TypeError: offer must be an int or a float (got str)", + "TypeError: offer must be an int or a float (got Fraction)", + "ValueError: offer must be an integer in [0, 2^62) or permitted +inf", + "ValueError: offer must be an integer in [0, 2^62) or permitted +inf", + "ValueError: offer must be an integer in [0, 2^62) or permitted +inf", + "TypeError: ledger must be a FlowLedger", + "TypeError: offer must be an int or a float (got bool)", + "TypeError: ledger must be a FlowLedger", + "valid", + "valid", + ] + ], + }, ] @@ -5241,10 +6282,22 @@ def resolution(q): "D-C2": { "rounds": "the error names the period-2 cycle, not the round it was found in" }, + "D-C3": { + "rounds": "the error names the period-2 cycle, not the round it was found in" + }, + "STALE-cycle-period-2": { + "rounds": "the error names the period-2 cycle, not the round it was found in" + }, "R4-refusal": { "requeue": "the rejected rule (a refused unit offered again), which the library never applies", }, } +for _name in ( + "STALE-cycle-round-limit", + "STALE-black-hole-in-cycle", + "LIST-black-hole-in-cycle", +): + NOT_REPORTED[_name] = {"rounds": "the error names the round limit, not its value"} for _name in ( "C-G1-UP_TO", "T2-UP_TO-common", @@ -5337,31 +6390,13 @@ def check_outside_the_domain(example): assert mismatch(split_offer_on_unit_links(**case), want) is None, case -# Positions of an example that wait for an entry this library does not have yet (apply_actions, -# the list API): their cases and expected rows are left out of the comparison. ERR-class-list, all -# of whose cases are apply_actions, is not here. -WAITING_ENTRIES = {"apply_actions"} - - -def without_waiting(example): - cases = example["input"].get("cases") - if example["oracle"] != "input_classes" or cases is None: - return example - keep = [i for i, c in enumerate(cases) if c["entry"] not in WAITING_ENTRIES] - return { - **example, - "input": {"cases": [cases[i] for i in keep]}, - "expected": [example["expected"][i] for i in keep], - } - - def _param(example): return pytest.param(example, id=example["id"]) def test_every_example_once(): ids = [e["id"] for e in EXAMPLES] - assert len(ids) == len(set(ids)) == 164 + assert len(ids) == len(set(ids)) == 183 assert {e["oracle"] for e in EXAMPLES} <= set(ADAPTERS) @@ -5370,10 +6405,10 @@ def test_contract_example(example): if example["id"] in OUTSIDE_THE_DOMAIN: check_outside_the_domain(example) return - example = without_waiting(example) expected = example["expected"] left_out = NOT_REPORTED.get(example["id"], {}) if left_out: expected = {k: v for k, v in expected.items() if k not in left_out} - got = ADAPTERS[example["oracle"]](**copy.deepcopy(example["input"])) + adapter = SEVERAL_DEMANDS.get(example["id"], ADAPTERS[example["oracle"]]) + got = adapter(**copy.deepcopy(example["input"])) assert mismatch(got, expected) is None diff --git a/tests/py/test_docs_examples.py b/tests/py/test_docs_examples.py index 5d7ccc9..8ec9a9c 100644 --- a/tests/py/test_docs_examples.py +++ b/tests/py/test_docs_examples.py @@ -107,7 +107,7 @@ def test_semantics_examples_print_their_documented_output(): text = (ROOT / "docs" / "semantics.md").read_text(encoding="utf-8") # The counts are pinned, so an example deleted together with its output is noticed: a # change to the document's examples updates them. - assert check_examples(text, "docs/semantics.md") == (30, 29) + assert check_examples(text, "docs/semantics.md") == (31, 30) def test_readme_quick_start_prints_its_commented_output(): diff --git a/tests/py/test_getter_allocation.py b/tests/py/test_getter_allocation.py index fd9a8f8..fc022da 100644 --- a/tests/py/test_getter_allocation.py +++ b/tests/py/test_getter_allocation.py @@ -234,6 +234,9 @@ def wide_values(): controller, offer=cap, design_demand=cap ) out["SpfOptions"] = ngc.SpfOptions(ngc.Direction.FORWARD, min_residual=cap) + out["Place"] = ngc.Place(sp, cap) + out["Replace"] = ngc.Replace(sp, cap, design_demand=cap) + out["Forward"] = ngc.Forward(sp, cap) return out diff --git a/tests/py/test_native_allocation.py b/tests/py/test_native_allocation.py index b98d6ac..68e928d 100644 --- a/tests/py/test_native_allocation.py +++ b/tests/py/test_native_allocation.py @@ -1,7 +1,8 @@ """Native allocation failures in the staged result constructions and in FlowLedger.reset: the k-th C++ allocation of spf, ksp, resolve_to_paths, ForwardingProgram.from_routes and from_dag, of the calls whose result objects are made before anything is published (place, evaluate, replace, forward, -evaluate_demand, evaluate_pairs, evaluate_edge_failures) and of reset fails, +apply_actions in both modes, evaluate_demand, evaluate_pairs, evaluate_edge_failures) and of reset +fails, for every k in turn (the private hook _fail_native_allocation). Every unabsorbed failure raises MemoryError, never aborts, leaves nothing it allocated behind and the observable state as it was. Standard-library optional buffers may absorb a failure; every successful call, including @@ -149,6 +150,46 @@ def snap(): return make +def listed(mode): + """One apply_actions list of `mode` (every output) over three policies that already hold + records: a pooled LOSSY ShortestPaths demand of sources 0 and 1, a LOSSY Pinned one over an + exported program with black holes, and a ShortestPaths one (LOSSLESS in an ORDERED list); the + snapshot adds every policy's epoch and program.""" + + def make(): + g = graph() + ledger = ngc.FlowLedger(g) + lossy = ngc.Admission.LOSSY + pinned = pinned_cfg( + exported, lossy, lambda g: g.eligibility(excluded_edges=[1]) + ) + policies = [ + ngc.FlowPolicy(ledger, [0, 1], 4, POOLED_LOSSY), + ngc.FlowPolicy(ledger, 0, 4, pinned(g)), + ngc.FlowPolicy( + ledger, 0, 4, COSTONLY if mode == "ORDERED" else POOLED_LOSSY + ), + ] + for policy in policies: + policy.replace(2) + actions = [ngc.Replace(p, x) for p, x in zip(policies, (6, 4, 3), strict=True)] + batch = getattr(ngc.BatchMode, mode) + + def call(): + return ngc.apply_actions(ledger, actions, mode=batch, outputs=ALL_OUT) + + def snap(): + return [ + full_ledger_state(ledger), + [epoch_state(p) for p in policies], + [plain(p.program) for p in policies], + ] + + return call, (), snap + + return make + + def pinned_cfg(program_of, admission=ngc.Admission.LOSSLESS, black_holes=None): return lambda g: ngc.FlowPolicyConfig( routing=ngc.Pinned( @@ -317,6 +358,8 @@ def spf_opts(direction=ngc.Direction.FORWARD, multipath=True, **kw): "replace", ), "place.pinned_split_route": operation(pinned_cfg(split_route), "place"), + "apply_actions.ordered": listed("ORDERED"), + "apply_actions.simultaneous": listed("SIMULTANEOUS"), "evaluate.global": operation(lambda g: GLOBAL, "evaluate"), "replace.global_support": operation( lambda g: ngc.FlowPolicyConfig( diff --git a/tests/py/test_programs.py b/tests/py/test_programs.py index 79ca38b..d592289 100644 --- a/tests/py/test_programs.py +++ b/tests/py/test_programs.py @@ -1442,6 +1442,111 @@ def test_cycles(): pinned(lim, prog, LOSSY).replace(3) +def test_zero_share_tunnel_adds_no_wait(): + # One Pinned LOSSY program: sA's tunnels A (X, L0, L1; weight 100) and Z (L0, X; weight w), sB's + # tunnel B (L1, L0). replace(4) gives each head 2 and Z H(2, [100, 1]) = 0: the period-2 error + # with Z at weight 0 (not forwarded) and at weight 1 (forwarded with share 0) alike. + # sA 0, sB 1, n1..n6 2..7, dA 8, dB 9, dZ 10; rows X, L0, L1 first. + rows = [ + (2, 3, 1), + (4, 5, 1), + (6, 7, 2), + (0, 2, 100), + (3, 4, 100), + (5, 6, 100), + (7, 8, 100), + (1, 6, 100), + (7, 4, 100), + (5, 9, 100), + (0, 4, 100), + (5, 2, 100), + (3, 10, 100), + ] + g = ngc.Graph(11, *([r[k] for r in rows] for k in range(3)), [1] * len(rows), 1.0) + ids = [0] * len(rows) + for e, position in enumerate(g.input_positions().tolist()): + ids[position] = e + for z in (0, 1): + specs = [ + (0, [3, 0, 4, 1, 5, 2, 6], 100), + (0, [10, 1, 11, 0, 12], z), + (1, [7, 2, 8, 1, 9], 1), + ] + prog = tunnels( + g, [0, 1], [8, 9, 10], [(h, [ids[k] for k in p], w) for h, p, w in specs] + ) + with pytest.raises( + ValueError, + match=exact("lossy forwarding iteration entered a period-2 cycle"), + ): + pinned(g, prog, LOSSY).replace(4) + + +def test_black_holes_add_no_barrier(): + # STALE-black-hole-in-cycle's graph (input rows 0 to 18) with one head 17 feeding its four + # tunnels (wide rows 19 to 22) and wide exits from each tunnel's end to one destination 18 + # (rows 23 to 25); one Pinned LOSSY program, weights 13, 11, 10, 5, replace(39), black holes + # on rows 2, 6 and 17. Tunnels 0 and 3 reach a black hole; their arrivals there are dropped + # without a barrier: the round-limit error, nothing published. Without the black holes the + # call settles; LOSSLESS serves 0 on a black-holed link (tunnel 0 takes the first unit). + rows = [ + (0, 1, 12), + (1, 6, 1000), + (1, 16, 1000), + (2, 3, 9), + (3, 0, 1000), + (3, 10, 1000), + (4, 5, 7), + (5, 6, 1000), + (6, 7, 13), + (7, 2, 1000), + (7, 10, 1000), + (8, 9, 1), + (10, 11, 10), + (11, 2, 1000), + (12, 4, 1000), + (13, 6, 1000), + (14, 0, 1000), + (15, 0, 1000), + (16, 2, 1000), + (17, 12, 1000), + (17, 13, 1000), + (17, 14, 1000), + (17, 15, 1000), + (11, 18, 1000), + (1, 18, 1000), + (7, 18, 1000), + ] + g = ngc.Graph(19, *([r[k] for r in rows] for k in range(3)), [1] * len(rows), 1.0) + ids = [0] * len(rows) + for e, position in enumerate(g.input_positions().tolist()): + ids[position] = e + specs = [ + ([19, 14, 6, 7, 8, 9, 3, 5, 12, 23], 13), + ([20, 15, 8, 10, 12, 13, 3, 4, 0, 24], 11), + ([21, 16, 0, 1, 8, 25], 10), + ([22, 17, 0, 2, 18, 3, 5, 12, 23], 5), + ] + prog = tunnels(g, [17], [18], [(17, [ids[k] for k in p], w) for p, w in specs]) + black = g.eligibility(excluded_edges=[ids[k] for k in (2, 6, 17)]) + ledger = ngc.FlowLedger(g) + stale = pinned(g, prog, LOSSY, black_holes=black, ledger=ledger) + with pytest.raises( + ValueError, + match=exact( + "lossy forwarding iteration did not reach a fixed point within the round limit" + ), + ): + stale.replace(39) + assert ledger.records() == [] and ledger.carried().tolist() == [0] * len(rows) + assert stale.program is None + settled = stale.evaluate(4) + assert [t.status for t in settled.by_tunnel] == [BLACKHOLED, UP, UP, BLACKHOLED] + assert pinned(g, prog, LOSSY).replace(39).call_delivered > 0 + lossless = pinned(g, prog, LOSSLESS, black_holes=black) + assert lossless.evaluate(float("inf")).call_delivered == 0 + + def test_cycle_subdivision(): # CYCS: Y split in two in series (e3: 2 -> 6, e8: 6 -> 3). def cycs(x, y, z): diff --git a/tests/py/test_public_surface.py b/tests/py/test_public_surface.py index 2216aa5..6004170 100644 --- a/tests/py/test_public_surface.py +++ b/tests/py/test_public_surface.py @@ -50,6 +50,11 @@ "PlacementResult", "SourceFlow", "FlowPolicy", + "Place", + "Replace", + "Forward", + "BatchMode", + "apply_actions", "ShortestPathCache", "ShortestPathCacheMiss", "ShortestPathCacheStats", @@ -77,6 +82,8 @@ HOOK_FUNCTIONS = { "_fail_python_allocation", "_fail_native_allocation", + "_with_forwarding_limits", + "_check_forwarding_count", "_round_robin", "_highest_averages", } @@ -97,8 +104,8 @@ def test_public_surface(): for name in PUBLIC: assert getattr(ngc, name) is getattr(_netgraph_core, name), name assert isinstance(ngc.__version__, str) - # 50 entries with __version__ (RouteTieBreak replaces the three earlier route-choice types). - assert len(ngc.__all__) == 50 + # 55 entries with __version__ (RouteTieBreak replaces the three earlier route-choice types). + assert len(ngc.__all__) == 55 def test_enum_values_are_pinned(): @@ -773,7 +780,8 @@ def params(fn): def _runtime_default(cls, method, param): # The stub prints an enum default as `...`; pybind11's runtime signature names the value. - doc = getattr(getattr(ngc, cls), method).__doc__ or "" + owner = getattr(ngc, cls) + doc = (owner if method == "__call__" else getattr(owner, method)).__doc__ or "" found = re.search(rf"\b{param}: [\w.]+ = ([\w.]+)", doc) return found.group(1) if found else None @@ -832,8 +840,8 @@ def test_runtime_signatures_match_the_contract(): def test_api_matches_the_contract(): - # Every public name of the interface listing (contract_api.py; the batch operations, not yet in - # the library, excepted), every member, and every parameter's name, kind and default; no other public member. + # Every public name of the interface listing (contract_api.py), every member, and every + # parameter's name, kind and default; no other public member. from contract_api import CONTRACT_API stub = _stub_members() diff --git a/tests/typing/invalid_client.py b/tests/typing/invalid_client.py index 830d6a0..1233402 100644 --- a/tests/typing/invalid_client.py +++ b/tests/typing/invalid_client.py @@ -81,3 +81,10 @@ best = ng.evaluate_demand(g, 0, 1, ng.EvaluationOptions(cfg)) cost_total: int = best.total_cost # expect: reportAssignmentType weights = best.program.source_weights # expect: reportOptionalMemberAccess + +# A list takes actions, its mode by keyword only, and an action takes a number. +lister = ng.FlowLedger(g) +listed_policy = ng.FlowPolicy(lister, 0, 1, cfg) +ng.apply_actions(lister, [listed_policy]) # expect: reportArgumentType +ng.apply_actions(lister, [], ng.BatchMode.ORDERED) # expect: reportCallIssue +ng.Replace(listed_policy, "1") # expect: reportArgumentType diff --git a/tests/typing/valid_client.py b/tests/typing/valid_client.py index 81a9fd3..68e4be1 100644 --- a/tests/typing/valid_client.py +++ b/tests/typing/valid_client.py @@ -246,3 +246,20 @@ ng.CostStretch(2), ] assert_type(stretches[0].factor, Fraction) + +# Several policies in one operation: the actions keep their offers as given, the list returns one +# result per action. +listed = ng.FlowLedger(g) +lossy_cfg = ng.FlowPolicyConfig( + routing=ng.ShortestPaths(), admission=ng.Admission.LOSSY +) +first_policy = ng.FlowPolicy(listed, 0, 3, lossy_cfg) +second_policy = ng.FlowPolicy(listed, 1, 3, lossy_cfg) +actions = [ng.Replace(first_policy, 2), ng.Replace(second_policy, np.int64(2))] +assert_type(actions[0].offer, int | float) +assert_type(actions[0].design_demand, int | float | None) +assert_type(ng.Forward(first_policy, 1).black_holes, ng.Eligibility | None) +together = ng.apply_actions(listed, actions, mode=ng.BatchMode.SIMULTANEOUS) +assert_type(together, list[ng.PlacementResult]) +in_order = ng.apply_actions(listed, (ng.Place(first_policy, 1),)) +assert_type(in_order[0].call_delivered, int) From 915d71e3becffdae1374573a0757de5a79ade751 Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Tue, 20 Oct 2026 10:58:06 +0100 Subject: [PATCH 22/39] A demand that can carry nothing changes no other result Contract r9 amendment 8: an occurrence that can carry nothing (a share of 0, a member whose whole-unit share is 0, or traffic behind a black hole of its own call or participant) takes no part in the loss rule's no-drop loads, its waits or its serial normalization. Adding such a demand, or a pooled source whose share is 0, no longer turns another demand's result into a loss-iteration error or the other way round. Results without such an occurrence are unchanged. Co-Authored-By: Claude Opus 5.5 --- CHANGELOG.md | 9 +- dev/cpp-tests.sh | 1 + docs/semantics.md | 22 +- include/netgraph/core/detail/forwarding.hpp | 22 +- src/forwarding.cpp | 229 +++++-- tests/cpp/apply_actions_tests.cpp | 162 +++++ tests/cpp/contract_examples_tests.cpp | 625 ++++++++++++++++++-- tests/cpp/joint_forwarding_tests.cpp | 531 ++++++++++++++++- tests/py/test_apply_actions.py | 123 ++++ tests/py/test_contract_examples.py | 433 ++++++++++++-- 10 files changed, 2010 insertions(+), 147 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 1f133ee..4669c8a 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -293,9 +293,12 @@ API. tunnel case that delivered 0 now delivers 1; a black-holed edge no longer waits in a loss cycle, so a cycle that never settles raises its round-limit error after 64 rounds per edge that does wait (a loaded black-holed edge inside such a cycle added 64 more), with every amount, every - settling round and every period-2 error unchanged; a tunnel or split-route member whose share is 0 - no longer makes an edge wait (it can carry nothing), so it no longer joins two edges into one loss - cycle. + settling round and every period-2 error unchanged; traffic that can carry nothing (a tunnel, + split-route member or pooled source whose share is 0, or traffic behind its own demand's black + hole) no longer counts in the loads that decide which edges can drop, makes an edge wait or keeps + two edges in series from passing traffic through as one, so adding a demand that can carry nothing + no longer changes another demand's result, error or round count (it could turn a loss cycle's + error into a result or a result into an error). ### Removed diff --git a/dev/cpp-tests.sh b/dev/cpp-tests.sh index 1f50ebb..4a3240e 100644 --- a/dev/cpp-tests.sh +++ b/dev/cpp-tests.sh @@ -27,6 +27,7 @@ cd "$(dirname "${BASH_SOURCE[0]}")/.." # compares (see flow_policy_fixture_tests.cpp's header). EXPECTED_OFF_SKIPS=" ApplyActions.ForwardingSizesCountEveryParticipant +DeadOccurrences.ForwardingSizesWithoutThem FlowCoreDeletion.CheckpointsEqualTheIterativeUpdate FlowCoreDeletion.RerunningTheFailedSearchAddsExactlyOneSearch ForwardingSize.TheCallChecksEachCountInOrder diff --git a/docs/semantics.md b/docs/semantics.md index 1af5904..7cc1b77 100644 --- a/docs/semantics.md +++ b/docs/semantics.md @@ -147,7 +147,8 @@ separate kind of number: positive integers that are never converted. beyond raises `ValueError('forwarding limit exceeded: > 2147483647')` (`` one of `entry`, `occurrence`, `router`, `event`, `dependency`; `` the exact count). The entry, occurrence and router limits are checked after validation and before the network is - allocated; the event and dependency limits, known only after the no-drop loads, before the + allocated; the event and dependency limits, known only after the loads of LOSSY's first + forward (each demand's traffic stopped at its own black holes), before the event structures are allocated. Either refusal changes nothing. A list of several demands ([several demands at once](#several-demands-at-once)) counts its one joint network, every participant together. Identities are @@ -1199,8 +1200,8 @@ weights and applies the program's whole-unit rule to the traffic that actually a black-holed edge carries nothing (all that arrives is dropped there); a black-holed node acts the same on every edge entering it; a black-holed source loses its own share as a source drop. Lossy drops what reaches a black hole where it arrives: it takes no part in sharing an edge (the loss -rule below) and makes no edge wait. Lossless admits only totals that put nothing on a black hole -(a black-holed edge serves 0). A tunnel that is up but whose path reaches a black hole is `BLACKHOLED` in +rule below) and makes no edge wait, and the traffic behind it can carry nothing. Lossless admits +only totals that put nothing on a black hole (a black-holed edge serves 0). A tunnel that is up but whose path reaches a black hole is `BLACKHOLED` in `by_tunnel`, its traffic dropped at the first black hole on its path. The policy's Eligibility applies first: an element both excluded and black-holed is excluded. A down tunnel keeps its setup status. A program forwarded by `Pinned` books no hold, whatever its producer. @@ -1288,11 +1289,16 @@ within a head over its entries by their arrivals. Each part continues with its s dropped on that edge. A pooled `ShortestPaths` demand (several sources whose routes meet) splits its total once at each router, and each member's amount is shared among the sources by highest averages over what each source still brings. Every demand is evaluated at once: forwarded first -without drops, an edge whose load fits can never drop and waits for nothing; every other shared -edge waits for all its possible arrivals, and the edges are evaluated in dependency order (the -order of independent edges does not change the result). Splitting an edge into two in series with -the same capacity changes nothing. Traffic that reaches its own demand's black hole is dropped -there and takes no part in the sharing. +with no edge shared and its traffic dropped only at its own black holes, an edge whose load fits +can never drop and waits for nothing; every other shared edge waits for all its possible arrivals, +and the edges are evaluated in dependency order (the order of independent edges does not change +the result). Traffic that can carry nothing in that first forward (a share of 0, a split member +whose whole-unit share is 0, traffic behind its own demand's black hole) takes no part: it loads +no edge there, makes no edge wait and never keeps two edges in series from passing traffic through +as one, so adding a demand that can carry nothing never changes another demand's result, error or +round count. Splitting an edge into two in series with the same capacity changes nothing (a black +hole on it becomes one on its first part, or on both). Traffic that reaches its own demand's black +hole is dropped there and takes no part in the sharing. When edges wait on each other in a cycle (one tunnel meets edge X before Y, another Y before X, and both can drop; the tunnels may belong to different demands), only that group is recalculated, round by round, from nothing carried, until diff --git a/include/netgraph/core/detail/forwarding.hpp b/include/netgraph/core/detail/forwarding.hpp index 3227f29..810f841 100644 --- a/include/netgraph/core/detail/forwarding.hpp +++ b/include/netgraph/core/detail/forwarding.hpp @@ -20,12 +20,15 @@ rule, for one program or several demands at once (a SIMULTANEOUS list). A link that receives more than its free capacity V shares T = min(V, arrivals) by highest averages over the demands' arrivals (in their creation order), then within a demand over its sources', then within a source - over its entries'; A+ forwards the no-drop loads U0 first, makes every link with U0 <= V a - pass-through and evaluates the other links (barriers) and the split routes' routers once each in - dependency order; barriers that wait on each other in a cycle are iterated from zero (serial - normalization first, then rounds, 64 b rounds for b barriers, the period-two and round-limit - errors, the independent check of the whole result before anything is returned). What reaches a - black hole of its own demand is dropped there and makes no barrier (b counts physical links). A + over its entries'; A+ forwards the loads U0 first (no link shared, each demand's traffic stopped + at its own black holes), makes every link with U0 <= V a pass-through and evaluates the other + links (barriers) and the split routes' routers once each in dependency order; barriers that wait + on each other in a cycle are iterated from zero (serial normalization first, then rounds, 64 b + rounds for b barriers, the period-two and round-limit errors, the independent check of the whole + result before anything is returned). What reaches a black hole of its own demand is dropped there + and makes no barrier (b counts physical links); an occurrence that carries 0 in U0's forward (a + share of 0, a member whose whole-unit share is 0, traffic behind its own black hole) is dead and + takes no part in U0, the waits or serial normalization. A pooled program (one split context: a ShortestPaths program, one supplied split route) called alone is forwarded by its plan's kernels, which are this rule for one acyclic context; in a list it joins the evaluator with one amount per source on each member. @@ -207,14 +210,17 @@ struct ForwardingDemand { #if NETGRAPH_CORE_PRIVATE_HOOKS // Test controls (hooks builds only): how many cyclic groups the last lossy() on this thread -// iterated and its rounds; how many times it sized the event structures (after the event and -// dependency counts passed); two corruptions of the iterated result before its check (the check's +// iterated and its rounds; its barrier links (EdgeIds, ascending: the links that wait, after serial +// normalization) and its dependency arcs; how many times it sized the event structures (after the +// event and dependency counts passed); two corruptions of the iterated result before its check (the check's // planted faults, RuntimeError expected): `corrupt` lowers one carried amount after the rounds, // `shift` moves one unit between two occurrences of one barrier before the final forwarding (every // continuation consistent, only that link's loss rule wrong). struct LossyCounters { std::int64_t groups {0}; std::int64_t rounds {0}; + std::vector barriers {}; + std::int64_t dependencies {0}; std::int64_t event_structures {0}; bool corrupt {false}; bool shift {false}; diff --git a/src/forwarding.cpp b/src/forwarding.cpp index 08e89a8..19f206d 100644 --- a/src/forwarding.cpp +++ b/src/forwarding.cpp @@ -10,27 +10,31 @@ occurrences (a tunnel's hop, a split route's member; a pooled context's member once per source whose traffic reaches it), and per split route its routers (a pooled router keeps one inflow per source and attributes each member's amount to them by highest averages over their remaining - inflows, 5.1). Each occurrence belongs to one demand, one source and one entry, so the loss rule + inflows). Each occurrence belongs to one demand, one source and one entry, so the loss rule at a link is three levels of highest averages: demands (in creation order), sources, entries. A demand's black holes make its occurrences there dark: what reaches one is dropped at once; a dark occurrence shares, loads and waits on no link (Lossless reads a black-holed link as serving 0 instead). - The evaluation (A+): the no-drop loads U0 first; serial normalization marks the second link - of every transparent pair (equal free capacity, every occurrence of the first continuing on the - second and every occurrence of the second coming from the first, with nothing injected, absorbed, - merged or split between them) as a pass-through; every other link with U0 > V is a barrier. The - events are the barriers and the routers; an event waits for its predecessors (a router for its - in-members' carried amounts, a barrier for all its arrivals, a tunnel's next barrier for its - previous one). Tarjan's algorithm groups them into strongly connected components (SCCs), which - run in dependency order, the smallest key first among the ready ones ((0, smallest barrier - EdgeId) for a group with a barrier, else (1, its first event)). A cyclic group of b barriers is - iterated from zero carried: one round replays the group's private forwarding from the - previous carried state x, then computes every new carry with the loss rule into a separate state; - equal states solve it, a state equal to the one two rounds before raises the period-two error, and - 64 b rounds without either raise the round-limit error. Once every group is solved, a call that - iterated checks the whole result independently (every router's split, every link's rule and - capacity, every continuation, the conservation of every entry) before anything is returned. + The evaluation (A+): the loads U0 first, every demand forwarded with no link shared and its + traffic stopped at its own black holes; an occurrence that carries 0 there (a share of 0, a member + whose whole-unit share is 0, traffic behind its own black hole) is dead and takes no part in what + follows. Serial normalization marks the second link of every transparent pair (equal free + capacity, every live occurrence of the first continuing on the second and every live occurrence + of the second coming from the first, with nothing injected, absorbed, merged or split between + them, counting only the routers' live members) as a pass-through; every other link with U0 > V + is a barrier. The events are the barriers and the routers; an event waits for its predecessors + (a router for its in-members' carried amounts, a barrier for all its live arrivals, a tunnel's + next barrier for its previous one). Tarjan's algorithm groups them into strongly connected + components (SCCs), which run in dependency order, the smallest key first among the ready ones + ((0, smallest barrier EdgeId) for a group with a barrier, else (1, its first event)). A cyclic + group of b barriers is iterated from zero carried: one round replays the group's private + forwarding from the previous carried state x, then computes every new carry with the loss rule + into a separate state; equal states solve it, a state equal to the one two rounds before raises + the period-two error, and 64 b rounds without either raise the round-limit error. Once every + group is solved, a call that iterated checks the whole result independently (every router's + split, every link's rule and capacity, every continuation, the conservation of every entry) + before anything is returned. Amounts are int64 units below 2^62: a demand's offer bounds its every arrival and load. A link's sum over several demands is only compared with a free capacity below 2^62, so it saturates at @@ -631,7 +635,6 @@ struct ForwardingNetwork { std::vector occurrences_by_edge; // the sharing occurrences, by (demand, head, entry) std::int32_t num_router_positions {0}; std::vector router_entry_positions; // per router position: its item - std::vector incoming_edge_positions; // per router position: its one in-member, -1 none, -2 several // Pooled contexts: per member its first occurrence (members + 1 per item); per position its // first slot (positions + 1 per item; a destination has none); per slot its head; per // occurrence of a pooled item the slot of its member's head position for its head (-1 at a @@ -953,17 +956,11 @@ ForwardingNetwork build_forwarding_network(std::span(net.num_router_positions)); - net.incoming_edge_positions.assign(static_cast(net.num_router_positions), -1); for (std::size_t i = 0; i < net.entry_occurrences.size(); ++i) { const auto& it = net.entry_occurrences[i]; if (it.tunnel_position >= 0) continue; const auto& plan = *it.prepared_route; for (std::size_t pos = 0; pos < plan.topological_order.size(); ++pos) net.router_entry_positions[static_cast(it.first_router_position) + pos] = static_cast(i); - if (it.num_occurrences == 0) continue; - for (std::size_t m = 0; m < plan.forwarding_edges.size(); ++m) { - auto& slot = net.incoming_edge_positions[static_cast(it.first_router_position + plan.edge_destination_positions[m])]; - slot = slot == -1 ? static_cast(m) : -2; - } } net.edge_occurrence_offsets.assign(net.edges.size() + 1, 0); for (std::size_t o = 0; o < n; ++o) { @@ -985,8 +982,8 @@ ForwardingNetwork build_forwarding_network(std::span void no_drop_pass(const ForwardingNetwork& net, std::span> shares, std::vector& load, @@ -1000,29 +997,93 @@ void no_drop_pass(const ForwardingNetwork& net, std::span(net.occurrence_edge_positions[o])] += x; } }; + // A split route's plan with a dark member: forwarded with those members' view at 0, so what + // they receive goes no further and the routers split only what arrives. Per member its arrival + // (in scratch); false without a dark member (the forward is not needed). + std::vector view_m; + auto dark_forward = [&](const ForwardingNetwork::Item& it, std::span inject) { + if constexpr (Checked) { + if (!net.any_dark) return false; + const PreparedRoute& plan = *it.prepared_route; + const std::size_t M = plan.forwarding_edges.size(); + view_m.assign(M, std::numeric_limits::max()); + bool any = false; + for (std::size_t m = 0; m < M; ++m) { + const auto o = it.pooled ? static_cast(net.member_occurrence_offsets[it.first_member + m]) + : static_cast(it.first_occurrence) + m; + if (it.pooled && o == static_cast(net.member_occurrence_offsets[it.first_member + m + 1])) continue; // no head reaches it + if (net.dark(o)) { + view_m[m] = 0; + any = true; + } + } + if (!any) return false; + const auto fw = forward(plan, Injection {inject, false}, view_m); + scratch.resize(M); + for (std::size_t m = 0; m < M; ++m) scratch[m] = fw.edge_flows[m] + fw.edge_drops[m]; + return true; + } else { + (void)it; + (void)inject; + return false; + } + }; std::vector inject; + std::vector head_root; // a pooled context: per view head, its root's position (-1: no share) + std::vector slot_live; // a pooled context: per slot, its head's traffic can reach it for (const auto& it : net.entry_occurrences) { const auto& share = shares[static_cast(it.demand)]; if (it.pooled) { const ForwardingView& view = *net.views[static_cast(it.demand)]; const PreparedRoute& plan = *it.prepared_route; inject.assign(plan.sources.size(), 0); + head_root.assign(view.num_sources(), -1); bool any = false; for (std::size_t h = 0; h < view.num_sources(); ++h) { const auto e = static_cast(view.entries_for_source(h).front()); const auto r = view.context_source_index(e); if (r < 0 || plan.source_positions[static_cast(r)] < 0) continue; inject[static_cast(r)] = share[e]; + if (share[e] != 0) head_root[h] = plan.source_positions[static_cast(r)]; any = any || share[e] != 0; } if (!any) continue; - const auto fw = forward(plan, Injection {inject, false}, {}); + if (!dark_forward(it, inject)) scratch = forward(plan, Injection {inject, false}, {}).edge_flows; for (std::size_t m = 0; m < plan.forwarding_edges.size(); ++m) { const auto o = static_cast(net.member_occurrence_offsets[it.first_member + m]); const auto end = static_cast(net.member_occurrence_offsets[it.first_member + m + 1]); - if (fw.edge_flows[m] == 0 || o == end) continue; - if (occ != nullptr) std::fill(occ->begin() + static_cast(o), occ->begin() + static_cast(end), fw.edge_flows[m]); - add(o, fw.edge_flows[m]); + if (scratch[m] == 0 || o == end) continue; + add(o, scratch[m]); + } + if (occ == nullptr) continue; + // Per head: its occurrence on a member can carry something when the member's amount is + // positive and the head's traffic reaches the member's tail, from its own root (a positive + // share) or over a member it can carry something on that is not dark (what reaches a dark + // member goes no further). Positions run in topological order; a member's occurrences and its + // tail's slots are the heads reaching that tail, both ascending. + const auto first_slot = net.slot_offsets[it.first_position]; + slot_live.assign(static_cast(net.slot_offsets[it.first_position + plan.topological_order.size()] - first_slot), 0); + for (std::size_t h = 0; h < head_root.size(); ++h) { + if (head_root[h] < 0 || plan.is_destination[static_cast(head_root[h])] != 0) continue; + const auto q = it.first_position + static_cast(head_root[h]); + const auto b = net.slot_heads.begin(); + const auto at = std::lower_bound(b + net.slot_offsets[q], b + net.slot_offsets[q + 1], static_cast(h)); + slot_live[static_cast(at - b - first_slot)] = 1; + } + for (std::size_t pos = 0; pos < plan.topological_order.size(); ++pos) { + if (plan.is_destination[pos] != 0) continue; + const auto tail_slot = static_cast(net.slot_offsets[it.first_position + pos] - first_slot); + for (auto m = static_cast(plan.outgoing_begin[pos]); m < static_cast(plan.outgoing_end[pos]); ++m) { + if (scratch[m] == 0) continue; + const auto o = static_cast(net.member_occurrence_offsets[it.first_member + m]); + const auto end = static_cast(net.member_occurrence_offsets[it.first_member + m + 1]); + for (auto x = o; x < end; ++x) { + if (slot_live[tail_slot + (x - o)] == 0) continue; + (*occ)[x] = scratch[m]; + const auto head_slot = net.occurrence_slots[x]; + if (head_slot >= 0 && !net.dark(x)) slot_live[static_cast(head_slot - first_slot)] = 1; + } + } } continue; } @@ -1033,11 +1094,24 @@ void no_drop_pass(const ForwardingNetwork& net, std::span(it.first_occurrence + j); if (occ != nullptr) (*occ)[o] = s; add(o, s); + // What reaches its own black hole goes no further: the later hops carry nothing. + if (Checked && net.dark(o)) break; } continue; } - scratch.resize(it.prepared_route->forwarding_edges.size()); - (void)allocate(*it.prepared_route, s, scratch); + const PreparedRoute& plan = *it.prepared_route; + bool forwarded = false; + if (Checked && net.any_dark) { + inject.assign(plan.sources.size(), 0); + for (std::size_t r = 0; r < plan.sources.size(); ++r) { + if (plan.source_positions[r] == it.source_position) inject[r] = s; + } + forwarded = dark_forward(it, inject); + } + if (!forwarded) { + scratch.resize(plan.forwarding_edges.size()); + (void)allocate(plan, s, scratch); + } for (std::int32_t j = 0; j < it.num_occurrences; ++j) { const auto o = static_cast(it.first_occurrence + j); if (occ != nullptr) (*occ)[o] = scratch[static_cast(j)]; @@ -1047,10 +1121,14 @@ void no_drop_pass(const ForwardingNetwork& net, std::span> shares, std::vector& load, std::vector* occ, std::vector& scratch) { load.assign(net.edges.size(), 0); @@ -1327,7 +1405,7 @@ class LossyForwardingEvaluator { std::int32_t num_scc_ {0}; bool iterating_ {false}; std::int32_t current_component_ {-1}; - std::vector possible_; // per occurrence: its no-drop amount (a pooled member's flow) + std::vector possible_; // per occurrence: its possible amount (0: dead) std::vector arrival_; std::vector carried_; std::vector inflow_; // per router position (one-root split routes) @@ -1346,7 +1424,9 @@ void LossyForwardingEvaluator::normalize_serial_links(std::span U0 transparent_.assign(L, 0); // Per link: the one link every sharing occurrence continues on, and the one every sharing // occurrence comes from (-1: none yet; -2: they differ, or an occurrence is injected, absorbed, - // merged or split there, or its neighbour on its route is dark). + // merged or split there, or its neighbour on its route is dark). Only what can carry something + // counts: a dead occurrence counts for neither link, and a router's merges and branches are + // those of its live members. std::vector next(L, -1); std::vector prev(L, -1); auto merge = [](std::int32_t& slot, std::int32_t v) { @@ -1358,8 +1438,35 @@ void LossyForwardingEvaluator::normalize_serial_links(std::span U0 }; // The link of occurrence o, or -2 when it is dark. auto link_of = [&](std::int32_t o) { return dark(o) ? -2 : net_.occurrence_edge_positions[static_cast(o)]; }; + // Per router position, over the live members only (an occurrence of the member can carry + // something): its one in-member (-1 none, -2 several) and its out-members (their count, and the + // one when there is one). A dark member takes its share out of its tail but brings nothing into + // its head (what reaches it is dropped there). + const auto R = static_cast(net_.num_router_positions); + std::vector live_in(R, -1); + std::vector live_out(R, -1); + std::vector live_outs(R, 0); + for (const auto& it : net_.entry_occurrences) { + if (it.tunnel_position >= 0 || it.num_occurrences == 0) continue; + const auto& plan = *it.prepared_route; + const auto base = static_cast(it.first_router_position); + for (std::size_t pos = 0; pos < plan.topological_order.size(); ++pos) { + for (auto m = plan.outgoing_begin[pos]; m < plan.outgoing_end[pos]; ++m) { + const auto first = it.pooled ? member_occurrence(it, static_cast(m)) : it.first_occurrence + m; + const auto end = it.pooled ? member_occurrence(it, static_cast(m) + 1) : first + 1; + bool live = false; + for (auto x = first; x < end && !live; ++x) live = possible_[static_cast(x)] != 0; + if (!live) continue; + ++live_outs[base + pos]; + live_out[base + pos] = m; + if (dark(first)) continue; + auto& slot = live_in[base + static_cast(plan.edge_destination_positions[static_cast(m)])]; + slot = slot == -1 ? m : -2; + } + } + } for (std::size_t o = 0; o < net_.occurrence_edge_positions.size(); ++o) { - if (net_.dark(o)) continue; + if (net_.dark(o) || possible_[o] == 0) continue; const auto l = static_cast(net_.occurrence_edge_positions[o]); const auto& it = net_.entry_occurrences[static_cast(net_.occurrence_entry_positions[o])]; const std::int32_t j = net_.occurrence_route_positions[o]; @@ -1381,18 +1488,17 @@ void LossyForwardingEvaluator::normalize_serial_links(std::span U0 const auto at = std::lower_bound(first, last, net_.occurrence_heads[o]); return at != last && *at == net_.occurrence_heads[o] ? static_cast(at - b) : -1; }; - // Continues: its head is no destination and no root, holds this member alone as its - // in-member and has one out-member. + // Continues: its head is no destination and no root, holds this member alone as its live + // in-member and has one live out-member. const auto q = static_cast(plan.edge_destination_positions[static_cast(j)]); - if (plan.is_destination[q] == 0 && root_position_[base + q] == 0 && plan.outgoing_end[q] - plan.outgoing_begin[q] == 1 && - net_.incoming_edge_positions[base + q] == j) { - const auto x = on_member(plan.outgoing_begin[q]); + if (plan.is_destination[q] == 0 && root_position_[base + q] == 0 && live_outs[base + q] == 1 && live_in[base + q] == j) { + const auto x = on_member(live_out[base + q]); if (x >= 0) succ = link_of(x); } - // Comes from: its tail is no root, has one in-member and this one out-member. + // Comes from: its tail is no root, has one live in-member and this one live out-member. const auto t = static_cast(occurrence_source_positions_[o]); - const auto in = net_.incoming_edge_positions[base + t]; - if (root_position_[base + t] == 0 && in >= 0 && plan.outgoing_end[t] - plan.outgoing_begin[t] == 1) { + const auto in = live_in[base + t]; + if (root_position_[base + t] == 0 && in >= 0 && live_outs[base + t] == 1) { const auto x = on_member(in); if (x >= 0) pred = link_of(x); } @@ -1416,6 +1522,10 @@ void LossyForwardingEvaluator::normalize_serial_links(std::span U0 } } num_barriers_ = static_cast(barrier_link_.size()); +#if NETGRAPH_CORE_PRIVATE_HOOKS + thread_lossy_counters().barriers.clear(); + for (auto l : barrier_link_) thread_lossy_counters().barriers.push_back(net_.edges[static_cast(l)]); +#endif // The events are known only after the no-drop loads: checked before the event structures are // sized (the network is built; a refusal changes nothing). check_forwarding_count(ForwardingCounter::Event, std::int64_t {num_barriers_} + net_.num_router_positions); @@ -1426,15 +1536,15 @@ void LossyForwardingEvaluator::build_events() { // Every dependency arc, to `emit`: an event before the next one on its tunnel; on a split route // (a pooled context: per member, whatever its heads) a member's tail router before its event (a // member that can drop) and that event before the head router, or the tail before the head. - // Only through an occurrence that can carry something: a tunnel whose share is 0 and a member - // whose no-drop amount is 0 (splits are monotone: it never receives anything) add no arc, so - // they make no link wait and join no group. + // Only through an occurrence that can carry something: a dead occurrence (a tunnel's hop whose + // share is 0 or that lies behind its own black hole, a member no head can carry anything on) + // adds no arc, so it makes no link wait and joins no group. auto arcs = [&](auto&& emit) { for (const auto& it : net_.entry_occurrences) { if (it.tunnel_position >= 0) { - if (it.num_occurrences != 0 && possible_[static_cast(it.first_occurrence)] == 0) continue; std::int32_t last = -1; for (std::int32_t j = 0; j < it.num_occurrences; ++j) { + if (possible_[static_cast(it.first_occurrence + j)] == 0) break; // the rest are dead too const auto ev = event_of_occ(it.first_occurrence + j); if (ev < 0) continue; if (last >= 0) emit(last, ev); @@ -1448,8 +1558,12 @@ void LossyForwardingEvaluator::build_events() { for (auto m = plan.outgoing_begin[pos]; m < plan.outgoing_end[pos]; ++m) { std::int32_t o = it.first_occurrence + m; if (it.pooled) { + // Its first occurrence that can carry something (none: no head reaches it, or none + // can carry anything on it). + const auto end = member_occurrence(it, static_cast(m) + 1); o = member_occurrence(it, static_cast(m)); - if (o == member_occurrence(it, static_cast(m) + 1)) continue; // no head reaches it + while (o < end && possible_[static_cast(o)] == 0) ++o; + if (o == end) continue; } if (possible_[static_cast(o)] == 0) continue; const auto from = router(it, static_cast(pos)); @@ -1470,6 +1584,7 @@ void LossyForwardingEvaluator::build_events() { check_forwarding_count(ForwardingCounter::Dependency, count); #if NETGRAPH_CORE_PRIVATE_HOOKS ++thread_lossy_counters().event_structures; + thread_lossy_counters().dependencies = count; #endif std::vector> edges; edges.reserve(static_cast(count)); @@ -1965,8 +2080,12 @@ std::vector LossyForwardingEvaluator::run(std::span(it.demand)])) { - if (p >= 0) root_position_[base + static_cast(p)] = 1; + // A head whose share is 0 injects nothing. + const ForwardingView& view = *net_.views[static_cast(it.demand)]; + const auto roots = pooled_root_positions(view); + for (std::size_t h = 0; h < roots.size(); ++h) { + const Amount s = shares_[static_cast(it.demand)][static_cast(view.entries_for_source(h).front())]; + if (roots[h] >= 0 && s != 0) root_position_[base + static_cast(roots[h])] = 1; } for (std::size_t m = 0; m < it.prepared_route->forwarding_edges.size(); ++m) { const auto tail = net_.member_tail_positions[it.first_member + m]; @@ -2161,6 +2280,8 @@ ProgramFlow lossy(const ForwardingView& view, const AvailableCapacityFn& free, s thread_lossy_counters().groups = 0; thread_lossy_counters().rounds = 0; thread_lossy_counters().event_structures = 0; + thread_lossy_counters().barriers.clear(); + thread_lossy_counters().dependencies = 0; #endif if (view.pooled) return pooled_lossy(view, free, injections); const ForwardingView* const views[] = {&view}; @@ -2184,6 +2305,8 @@ std::vector lossy(std::span demands, const thread_lossy_counters().groups = 0; thread_lossy_counters().rounds = 0; thread_lossy_counters().event_structures = 0; + thread_lossy_counters().barriers.clear(); + thread_lossy_counters().dependencies = 0; #endif return joint_lossy(views, injections, free); } diff --git a/tests/cpp/apply_actions_tests.cpp b/tests/cpp/apply_actions_tests.cpp index ecef848..cccf658 100644 --- a/tests/cpp/apply_actions_tests.cpp +++ b/tests/cpp/apply_actions_tests.cpp @@ -25,6 +25,7 @@ #include "netgraph/core/detail/forwarding.hpp" #include "netgraph/core/detail/ledger_access.hpp" #include "netgraph/core/detail/policy_engine.hpp" +#include "netgraph/core/detail/program_data.hpp" #include "netgraph/core/flow_ledger.hpp" #include "netgraph/core/flow_policy.hpp" #include "netgraph/core/forwarding_program.hpp" @@ -1209,6 +1210,167 @@ TEST(ApplyActions, ZeroSharesAddNoArc) { } } +// What can carry nothing changes nothing, a router's dead merges and branches included. +// D-cycle-subdivision-after (A over links 1, 0, 2, 3 with offer 2; B over 2, 3, 0 with offer 1; C over +// 2, 3, 0, 1 with offer 4; links of 2, 4, 2, 2; links 2 and 3 joined directly at node 10) delivers 0, +// 0, 1 at round 4. B becomes a DAG program with a member that carries nothing at node 10: +// - a second pooled source, node 12, whose own link (capacity 9) merges into node 10: with offer 1 +// its share is 0; with offer 2 each source gets 1 and the new link is B's own black hole (it keeps +// its own router arc: one more arc); +// - a branch from node 10 to a destination of its own, node 13: round robin sends B's unit to link 3 +// (the lower EdgeId), so the branch carries nothing; +// - a merge into node 10 from B's source over node 12: round robin sends B's unit to link 2's side +// (the lower EdgeId), so that path carries nothing; +// the last two pooled (from_dag) and not (the DAG route beside a tunnel of weight 0 over B's links). +// Links 2 and 3 stay a pair, and the outcome and the structure are those of B without the member. +// sA 0, sB 1, sC 2, d 3; link e from 4 + 2e (link 2 into node 10). +TEST(ApplyActions, MembersThatCarryNothingChangeNothing) { + const std::vector rows {{4, 5, 2, 1}, {6, 7, 4, 1}, {8, 10, 2, 1}, {10, 11, 2, 1}, {0, 6, 100, 1}, + {7, 4, 100, 1}, {5, 8, 100, 1}, {11, 3, 100, 1}, {1, 8, 100, 1}, {11, 4, 100, 1}, + {5, 3, 100, 1}, {2, 8, 100, 1}, {5, 6, 100, 1}, {7, 3, 100, 1}, {12, 10, 9, 1}, + {10, 13, 100, 1}, {1, 12, 100, 1}}; + struct Out { + std::string error; + Amounts delivered; + std::vector carried; + std::int64_t rounds {-1}; + std::int64_t groups {-1}; + std::vector barriers; + std::int64_t dependencies {-1}; + }; + enum Case { kWithout, kZeroShare, kBlackHoled, kDeadBranch, kDeadMerge }; + auto call = [&](Case c, bool pooled) { + World w(shared(make_graph(14, rows))); + const auto id = id_of_input(*w.g); + auto ids = [&](std::vector in) { + std::vector out; + for (int i : in) out.push_back(id[static_cast(i)]); + return out; + }; + EXPECT_LT(id[3], id[15]); + EXPECT_LT(id[8], id[16]); + auto& a = w.pin(tunnel(*w.g, 0, 3, ids({4, 1, 5, 0, 6, 2, 3, 7}))); + const auto path = ids({8, 2, 3, 9, 0, 10}); + auto members = path; + std::vector sources {1}; + std::vector dests {3}; + if (c == kZeroShare || c == kBlackHoled) { + members.push_back(id[14]); + sources.push_back(12); + } + if (c == kDeadBranch) { + members.push_back(id[15]); + dests.push_back(13); + } + if (c == kDeadMerge) { + members.push_back(id[16]); + members.push_back(id[14]); + } + std::shared_ptr prog; + if (pooled) { + prog = ForwardingProgram::from_dag(*w.g, sources, dests, dag_of(*w.g, members), RouteOptions {}); + } else { + std::vector> hops; + for (EdgeId e : path) hops.push_back({e}); + prog = ForwardingProgram::from_routes(*w.g, sources, dests, + std::vector {RouteDefinition {1, dag_of(*w.g, members), 1}, + RouteDefinition {1, std::make_shared(*w.g, hops), 0}}); + } + auto& b = w.pin(prog, LOSSY, c == kBlackHoled ? no_edges(*w.g, {id[14]}) : nullptr); + auto& cc = w.pin(tunnel(*w.g, 2, 3, ids({11, 2, 3, 9, 0, 12, 1, 13}))); + Out out; + std::vector res; + out.error = error_of([&] { res = run(w, Actions {Replace {a, 2}, Replace {b, c == kBlackHoled ? 2 : 1}, Replace {cc, 4}}, SIMULTANEOUS); }); +#if NETGRAPH_CORE_PRIVATE_HOOKS + const auto& k = detail::thread_lossy_counters(); + out.rounds = k.rounds; + out.groups = k.groups; + out.barriers = k.barriers; + out.dependencies = k.dependencies; +#endif + if (out.error.empty()) { + out.delivered = delivered(res); + for (int e : {0, 1, 2, 3}) out.carried.push_back(w.ledger->carried()[static_cast(id[static_cast(e)])]); + } + return out; + }; + struct Row { + Case c; + bool pooled; + const char* where; + }; + for (const auto& row : {Row {kZeroShare, true, "zero-share source"}, Row {kBlackHoled, true, "black-holed source"}, + Row {kDeadBranch, true, "dead branch, pooled"}, Row {kDeadBranch, false, "dead branch, not pooled"}, + Row {kDeadMerge, true, "dead merge, pooled"}, Row {kDeadMerge, false, "dead merge, not pooled"}}) { + const auto without = call(kWithout, row.pooled); + EXPECT_EQ(without.error, "") << row.where; + EXPECT_EQ(without.delivered, (Amounts {0, 0, 1})) << row.where; +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(without.rounds, 4) << row.where; +#endif + const auto with = call(row.c, row.pooled); + EXPECT_EQ(with.error, without.error) << row.where; + EXPECT_EQ(with.delivered, without.delivered) << row.where; + EXPECT_EQ(with.carried, without.carried) << row.where; + EXPECT_EQ(with.rounds, without.rounds) << row.where; + EXPECT_EQ(with.groups, without.groups) << row.where; + EXPECT_EQ(with.barriers, without.barriers) << row.where; +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(with.dependencies, without.dependencies + (row.c == kBlackHoled ? 1 : 0)) << row.where; +#endif + } +} + +// Traffic behind a demand's own black hole can carry nothing: D-dead-tail (A over links 2, 0 with +// offer 1; B over 1, 0, 2 with offer 2; links of 2, 2, 1, 9) gives the period-2 error at round 3 +// without Z, and with Z (its own black hole on link 3) over links 3, 0, 1 with offer 1 as a tunnel +// or as a supplied DAG route (a pooled context), or with offer 2 as that DAG route beside a tunnel +// on its own exit (a split route of a program that is not pooled; each entry gets 1): what reaches +// the black hole goes no further down the plan. sA 0, sB 1, sZ 2, d 3; link e from 4 + 2e to +// 5 + 2e (rows 0 to 3), joined by links of 100; Z's exit is row 15. +TEST(ApplyActions, DeadTailsTakeNoPart) { + for (int z : {0, 1, 2, 3}) { // without Z, a tunnel, a DAG route, a DAG route beside a tunnel + World w(shared(make_graph(12, {{4, 5, 2, 1}, + {6, 7, 2, 1}, + {8, 9, 1, 1}, + {10, 11, 9, 1}, + {0, 8, 100, 1}, + {9, 4, 100, 1}, + {5, 3, 100, 1}, + {1, 6, 100, 1}, + {7, 4, 100, 1}, + {5, 8, 100, 1}, + {9, 3, 100, 1}, + {2, 10, 100, 1}, + {11, 4, 100, 1}, + {5, 6, 100, 1}, + {7, 3, 100, 1}, + {2, 3, 100, 1}}))); + const auto id = id_of_input(*w.g); + auto ids = [&](std::vector in) { + std::vector out; + for (int i : in) out.push_back(id[static_cast(i)]); + return out; + }; + auto& a = w.pin(tunnel(*w.g, 0, 3, ids({4, 2, 5, 0, 6}))); + auto& b = w.pin(tunnel(*w.g, 1, 3, ids({7, 1, 8, 0, 9, 2, 10}))); + Actions list {Replace {a, 1}, Replace {b, 2}}; + const auto zr = ids({11, 3, 12, 0, 13, 1, 14}); + if (z == 1) list.push_back(Replace {w.pin(tunnel(*w.g, 2, 3, zr), LOSSY, no_edges(*w.g, ids({3}))), 1}); + if (z >= 2) { + std::vector routes {RouteDefinition {2, dag_of(*w.g, zr), 1}}; + if (z == 3) routes.push_back(RouteDefinition {2, std::make_shared(*w.g, std::vector> {{id[15]}}), 1}); + const auto prog = ForwardingProgram::from_routes(*w.g, std::vector {2}, std::vector {3}, routes); + ASSERT_EQ(detail::ProgramAccess::data(*prog).pools_source_inflows, z == 2); + list.push_back(Replace {w.pin(prog, LOSSY, no_edges(*w.g, ids({3}))), z == 3 ? 2 : 1}); + } + EXPECT_EQ(refused(w, list, SIMULTANEOUS), kPeriodTwo) << "Z form " << z; +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(detail::thread_lossy_counters().rounds, 3) << "Z form " << z; +#endif + } +} + // Per-entry boundaries on the one residual. TEST(ApplyActions, OutputsPerEntry) { World w(graph(4, {{0, 2, 10, 1}, {1, 2, 1, 1}, {2, 3, 10, 1}})); diff --git a/tests/cpp/contract_examples_tests.cpp b/tests/cpp/contract_examples_tests.cpp index 023d2ef..7b57c31 100644 --- a/tests/cpp/contract_examples_tests.cpp +++ b/tests/cpp/contract_examples_tests.cpp @@ -8,12 +8,15 @@ #include #include +#include #include +#include #include #include #include #include #include +#include #include #include #include @@ -444,9 +447,15 @@ Routed routed(const Amounts& cap, const Routes& routes, const std::vector routed_program(const Routed& r, const std::vector& head_of, const Amounts& weights) { +// Each route a tunnel, or (where dags[i] is set) a supplied DAG route of the same links. +std::shared_ptr routed_program(const Routed& r, const std::vector& head_of, const Amounts& weights, + const std::vector& dags = {}) { std::vector defs; for (std::size_t i = 0; i < r.paths.size(); ++i) { + if (i < dags.size() && dags[i]) { + defs.push_back(RouteDefinition {head_of[i], dag_of(*r.net.g, r.paths[i]), weights[i]}); + continue; + } std::vector> hops; for (EdgeId e : r.paths[i]) hops.push_back({e}); defs.push_back(RouteDefinition {head_of[i], std::make_shared(*r.net.g, hops), weights[i]}); @@ -458,24 +467,43 @@ std::shared_ptr routed_program(const Routed& r, const s // The one Lossy forwarding of routes with offers: one tunnel per route, weight = its offer, under // head label[i] (the hierarchy's middle level; heads share the offer equally, so a head's routes // must offer equal totals). Per route: what it carries and drops at each of its links, and what it -// delivers; per link, what it carries. +// delivers; per link, what it carries. `dark`: the abstract links the call black-holes; `dags[i]`: +// route i a supplied DAG route instead of a tunnel; `total`: the call's offer (default: the sum of +// the offers). The structure (hooks): the abstract links that wait, the cyclic groups, their rounds +// and the dependency arcs. struct LossyOut { std::string error; + std::int64_t rounds {-1}; // hooks only, as the three below + std::int64_t groups {-1}; + Ints barrier_links; + std::int64_t dependencies {-1}; Routes carried; Routes edge_drops; Amounts delivered; Amounts edge_flows; }; -LossyOut lossy(const Amounts& offers, const Routes& routes, const Amounts& cap, std::vector head_of = {}) { +LossyOut lossy(const Amounts& offers, const Routes& routes, const Amounts& cap, std::vector head_of = {}, const Ints& dark = {}, + const std::vector& dags = {}, std::optional total = std::nullopt) { if (head_of.empty()) head_of.assign(routes.size(), 0); const Routed r = routed(cap, routes, head_of); - const auto prog = routed_program(r, head_of, offers); - auto p = policy(r.net, r.heads, {r.destination}, {.routing = Pinned {prog, nullptr}, .admission = LY}); - Amount total = 0; - for (Amount x : offers) total += x; + const auto prog = routed_program(r, head_of, offers, dags); + auto p = policy(r.net, r.heads, {r.destination}, {.routing = Pinned {prog, dark.empty() ? nullptr : r.net.mask({}, dark)}, .admission = LY}); + if (!total.has_value()) { + total = 0; + for (Amount x : offers) *total += x; + } LossyOut out; PlacementResult res; - out.error = error_of([&] { res = p->place(total, kFlows); }); + out.error = error_of([&] { res = p->place(*total, kFlows); }); +#if NETGRAPH_CORE_PRIVATE_HOOKS + const auto& counters = detail::thread_lossy_counters(); + out.rounds = counters.rounds; + out.groups = counters.groups; + out.dependencies = counters.dependencies; + for (std::size_t e = 0; e < cap.size(); ++e) { + if (std::find(counters.barriers.begin(), counters.barriers.end(), r.link[e]) != counters.barriers.end()) out.barrier_links.push_back(static_cast(e)); + } +#endif if (!out.error.empty()) return out; std::map rec; for (auto& x : p->records()) rec[*x.entry_id] = x; @@ -495,7 +523,9 @@ LossyOut lossy(const Amounts& offers, const Routes& routes, const Amounts& cap, } out.carried.push_back(c); out.edge_drops.push_back(d); - out.delivered.push_back(res.by_tunnel[i].delivered); + // by_tunnel has the tunnels only (a DAG route's delivery is not reported: -1). + const auto tunnel = static_cast(std::count(dags.begin(), dags.begin() + static_cast(std::min(i, dags.size())), true)); + out.delivered.push_back(i < dags.size() && dags[i] ? -1 : res.by_tunnel[i - tunnel].delivered); } for (EdgeId id : r.link) out.edge_flows.push_back((*res.edge_flows)[static_cast(id)]); return out; @@ -2284,15 +2314,34 @@ TEST(ContractExamples, STRETCH_numpy) { namespace { -// The list form of the loss examples: each route is its own demand, a Pinned LOSSY policy over one -// tunnel (created in route order), all in one SIMULTANEOUS list. Each abstract link e gets its own -// two nodes; each route runs from its own head through its links to one destination, consecutive -// links joined by a link that never limits anything, except where every occurrence of e continues on -// f and every occurrence of f comes from e: there e's head is f's tail (no join), so the examples' -// serial pairs stay pairs. `dark[i]`: the abstract links route i's demand black-holes. +// The list form of the loss examples: each route is its own demand, a Pinned LOSSY policy (created +// in route order), all in one SIMULTANEOUS list. Each abstract link e gets its own two nodes; each +// route runs from its own head through its links to one destination, consecutive links joined by a +// link that never limits anything, except where e is fused to f (fused_links): there e's head is f's +// tail (no join), so the examples' serial pairs stay pairs. `dark[i]`: the abstract links route i's +// demand black-holes. `forms[i]` (default kTunnel) realizes route i as: +// - kTunnel: one tunnel; +// - kDagRoute: the same links as a supplied DAG route alone (a pooled context); +// - kDagBesideExit: that DAG route beside a tunnel on its head's own exit to the destination (a split +// route of a program that is not pooled), offered twice the route's offer (each entry gets it); +// - kZeroBranch: a DAG route of the route's links plus that exit, beside the exit tunnel, offered 2: +// each entry gets 1 and round robin sends the DAG route's unit to the exit (a lower EdgeId than +// the route's first link), so every member on the route has a whole-unit share of 0 (the route's +// offer is not used); +// - kEntryTunnel, kEntryDag: a tunnel or a DAG route in route 0's program, from route 0's head, of +// weight its offer (0: an empty entry); no participant of its own, its black holes not used; route +// 0 (a tunnel) then has weight its offer and is offered `offer0` (default: the sum of its +// program's weights): with every other route an entry, the list is one scalar call. +// Per participant (a route of its own) its rows on its route's links and its delivery (a split route +// beside an exit: without the exit's units); the structure (hooks): the abstract links that wait +// (after serial normalization), the cyclic groups, their rounds and the dependency arcs. +enum Form { kTunnel, kDagRoute, kDagBesideExit, kZeroBranch, kEntryTunnel, kEntryDag }; struct ListOut { std::string error; - std::int64_t rounds {-1}; // hooks only + std::int64_t rounds {-1}; // hooks only, as the three below + std::int64_t groups {-1}; + Ints barrier_links; + std::int64_t dependencies {-1}; Routes arrivals; Routes carried; Routes edge_drops; @@ -2300,20 +2349,62 @@ struct ListOut { Amounts edge_flows; Texts status; }; -ListOut list_lossy(const Amounts& offers, const Routes& routes, const Amounts& cap, const std::vector& dark = {}) { - const auto L = static_cast(cap.size()); - // Per link its successors and predecessors over every occurrence (-1: an end). - std::vector> next(cap.size()); - std::vector> prev(cap.size()); - for (const auto& r : routes) { +bool black_holed(const std::vector& dark, std::size_t i, std::int64_t e) { + return i < dark.size() && std::find(dark[i].begin(), dark[i].end(), e) != dark[i].end(); +} +// Per link the link it is fused to (-1: none): every occurrence of e that can carry something +// continues on f and every such occurrence of f comes from e. A zero offer carries nothing, and a +// route's traffic stops at its own black hole (which still arrives from the link before it). A +// pair that would make a route visit a node twice (a dead occurrence on e going elsewhere and one +// on f) is joined instead: a tunnel is a simple path. +Ints fused_links(const Amounts& offers, const Routes& routes, std::size_t L, const std::vector& dark) { + std::vector> next(L); + std::vector> prev(L); + for (std::size_t i = 0; i < routes.size(); ++i) { + if (offers[i] == 0) continue; + const auto& r = routes[i]; for (std::size_t j = 0; j < r.size(); ++j) { - next[static_cast(r[j])].insert(j + 1 < r.size() ? r[j + 1] : -1); prev[static_cast(r[j])].insert(j > 0 ? r[j - 1] : -1); + if (black_holed(dark, i, r[j])) break; + next[static_cast(r[j])].insert(j + 1 < r.size() ? r[j + 1] : -1); } } - auto fused = [&](std::int64_t e, std::int64_t f) { - return next[static_cast(e)] == std::set {f} && prev[static_cast(f)] == std::set {e}; - }; + Ints out(L, -1); + for (std::size_t e = 0; e < L; ++e) { + const auto& s = next[e]; + if (s.size() == 1 && *s.begin() >= 0 && prev[static_cast(*s.begin())] == std::set {static_cast(e)}) out[e] = *s.begin(); + } + for (bool changed = true; changed;) { + changed = false; + for (const auto& r : routes) { + // Its nodes: a tail is e, a head L + e (a fused head is the next link's tail). + std::vector nodes {r.front()}; + for (std::size_t j = 0; j < r.size(); ++j) { + const auto f = out[static_cast(r[j])]; + nodes.push_back(f >= 0 ? f : static_cast(L) + r[j]); + if (j + 1 < r.size() && f != r[j + 1]) nodes.push_back(r[j + 1]); + } + if (std::set(nodes.begin(), nodes.end()).size() == nodes.size()) continue; + for (std::size_t j = 0; j < r.size(); ++j) { + auto& f = out[static_cast(r[j])]; + if (f >= 0 && (j + 1 == r.size() || f != r[j + 1])) f = -1; // e without its f + for (auto& g : out) { + if (g == r[j] && (j == 0 || out[static_cast(r[j - 1])] != r[j])) g = -1; // f without its e + } + } + changed = true; + } + } + return out; +} +ListOut list_lossy(const Amounts& offers, const Routes& routes, const Amounts& cap, const std::vector& dark = {}, + const std::optional& fusing = std::nullopt, const std::vector
& forms = {}, + std::optional offer0 = std::nullopt) { + const auto L = static_cast(cap.size()); + const Ints fuse = fusing.value_or(fused_links(offers, routes, cap.size(), dark)); + auto fused = [&](std::int64_t e, std::int64_t f) { return fuse[static_cast(e)] == f; }; + auto form = [&](std::size_t i) { return i < forms.size() ? forms[i] : kTunnel; }; + auto own = [&](std::size_t i) { return form(i) != kEntryTunnel && form(i) != kEntryDag; }; // Nodes: heads 0..n-1, the destination n, then per link a tail and a head (a fused head is the // next link's tail). const auto n = static_cast(routes.size()); @@ -2323,16 +2414,17 @@ ListOut list_lossy(const Amounts& offers, const Routes& routes, const Amounts& c NodeId next_node = n + 1; for (std::int64_t e = 0; e < L; ++e) tail[static_cast(e)] = next_node++; for (std::int64_t e = 0; e < L; ++e) { - const auto& s = next[static_cast(e)]; - head[static_cast(e)] = s.size() == 1 && *s.begin() >= 0 && fused(e, *s.begin()) ? tail[static_cast(*s.begin())] : next_node++; + const auto f = fuse[static_cast(e)]; + head[static_cast(e)] = f >= 0 ? tail[static_cast(f)] : next_node++; } std::vector rows; for (std::int64_t e = 0; e < L; ++e) rows.push_back({tail[static_cast(e)], head[static_cast(e)], cap[static_cast(e)], 1}); std::vector> rows_of(routes.size()); + std::vector exit_row(routes.size(), 0); for (std::size_t i = 0; i < routes.size(); ++i) { const auto& r = routes[i]; rows_of[i].push_back(rows.size()); - rows.push_back({static_cast(i), tail[static_cast(r.front())], kBig, 1}); + rows.push_back({own(i) ? static_cast(i) : NodeId {0}, tail[static_cast(r.front())], kBig, 1}); for (std::size_t j = 0; j < r.size(); ++j) { rows_of[i].push_back(static_cast(r[j])); if (j + 1 < r.size() && !fused(r[j], r[j + 1])) { @@ -2342,33 +2434,85 @@ ListOut list_lossy(const Amounts& offers, const Routes& routes, const Amounts& c } rows_of[i].push_back(rows.size()); rows.push_back({head[static_cast(r.back())], dest, kBig, 1}); + if (form(i) == kDagBesideExit || form(i) == kZeroBranch) { + exit_row[i] = rows.size(); + rows.push_back({static_cast(i), dest, kBig, 1}); + } } const Net net(rows, next_node); + auto edges_of = [&](const std::vector& rs) { + std::vector out; + for (auto row : rs) out.push_back(net.id[row]); + return out; + }; + auto tunnel_of = [&](const std::vector& rs) { + std::vector> hops; + for (EdgeId e : edges_of(rs)) hops.push_back({e}); + return std::make_shared(*net.g, hops); + }; auto ledger = std::make_shared(net.g); std::vector> black; std::vector> policies; + std::vector route_of; // per participant std::vector list; for (std::size_t i = 0; i < routes.size(); ++i) { - std::vector> hops; - for (auto row : rows_of[i]) hops.push_back({net.id[row]}); - const NodeId s[1] = {static_cast(i)}; + if (!own(i)) continue; + const auto h = static_cast(i); + std::vector defs; + Amount offer = offers[i]; + switch (form(i)) { + case kTunnel: + defs.push_back(RouteDefinition {h, tunnel_of(rows_of[i]), i == 0 ? offers[0] : 1}); + break; + case kDagRoute: + defs.push_back(RouteDefinition {h, dag_of(*net.g, edges_of(rows_of[i])), 1}); + break; + case kDagBesideExit: + case kZeroBranch: { + auto rs = rows_of[i]; + if (form(i) == kZeroBranch) rs.push_back(exit_row[i]); + defs.push_back(RouteDefinition {h, dag_of(*net.g, edges_of(rs)), 1}); + defs.push_back(RouteDefinition {h, tunnel_of({exit_row[i]}), 1}); + offer = form(i) == kZeroBranch ? 2 : 2 * offers[i]; + break; + } + default: + break; + } + if (i == 0) { // route 0's program holds the entries + for (std::size_t k = 1; k < routes.size(); ++k) { + if (form(k) == kEntryTunnel) defs.push_back(RouteDefinition {0, tunnel_of(rows_of[k]), offers[k]}); + if (form(k) == kEntryDag) defs.push_back(RouteDefinition {0, dag_of(*net.g, edges_of(rows_of[k])), offers[k]}); + if (!own(k)) offer += offers[k]; + } + offer = offer0.value_or(offer); + } + const NodeId s[1] = {h}; const NodeId t[1] = {dest}; - const std::vector defs {RouteDefinition {static_cast(i), std::make_shared(*net.g, hops), 1}}; const auto prog = ForwardingProgram::from_routes(*net.g, s, t, defs); black.push_back(i < dark.size() ? net.mask({}, dark[i]) : nullptr); - policies.push_back(std::make_unique(*ledger, std::vector {static_cast(i)}, std::vector {dest}, + policies.push_back(std::make_unique(*ledger, std::vector {h}, std::vector {dest}, FlowPolicyConfig {.routing = Pinned {prog, black.back()}, .admission = LY})); - list.push_back(Replace {*policies.back(), offers[i]}); + route_of.push_back(i); + list.push_back(Replace {*policies.back(), offer}); } ListOut out; std::vector res; out.error = error_of([&] { res = apply_actions(*ledger, list, BatchMode::Simultaneous); }); #if NETGRAPH_CORE_PRIVATE_HOOKS - out.rounds = detail::thread_lossy_counters().rounds; + const auto& counters = detail::thread_lossy_counters(); + out.rounds = counters.rounds; + out.groups = counters.groups; + out.dependencies = counters.dependencies; + for (std::int64_t e = 0; e < L; ++e) { + const EdgeId id = net.id[static_cast(e)]; + if (std::find(counters.barriers.begin(), counters.barriers.end(), id) != counters.barriers.end()) out.barrier_links.push_back(e); + } #endif if (!out.error.empty()) return out; - for (std::size_t i = 0; i < routes.size(); ++i) { - const auto recs = policies[i]->records(); + for (std::size_t k = 0; k < policies.size(); ++k) { + const std::size_t i = route_of[k]; + const auto recs = policies[k]->records(); Ints a; Ints c; Ints d; @@ -2387,8 +2531,9 @@ ListOut list_lossy(const Amounts& offers, const Routes& routes, const Amounts& c out.arrivals.push_back(a); out.carried.push_back(c); out.edge_drops.push_back(d); - out.delivered.push_back(res[i].call_delivered); - out.status.push_back(name_of(res[i].by_tunnel.front().status)); + const Amount exit = form(i) == kDagBesideExit ? offers[i] : form(i) == kZeroBranch ? 2 : 0; + out.delivered.push_back(res[k].call_delivered - exit); + out.status.push_back(form(i) == kTunnel ? name_of(res[k].by_tunnel.front().status) : "SPLIT"); } for (std::int64_t e = 0; e < L; ++e) out.edge_flows.push_back(ledger->carried()[static_cast(net.id[static_cast(e)])]); return out; @@ -2557,6 +2702,406 @@ TEST(ContractExamples, D_cycle_subdivision_after) { expect_list(list_lossy({2, 1, 4}, {{1, 0, 2, 3}, {2, 3, 0}, {2, 3, 0, 1}}, {2, 4, 2, 2}), {{2, 2, 1, 0}, {1, 0, 0}, {4, 2, 2, 1}}, {{2, 1, 0, 0}, {0, 0, 0}, {2, 2, 1, 1}}, std::nullopt, {0, 0, 1}, {2, 3, 2, 2}); } +// A dead occurrence (a zero offer or share, traffic behind its own black hole) takes no part in the +// no-drop loads, the waits or serial normalization, so adding it changes no other output, structure +// included: with and without it, the other participants' rows and deliveries, every link flow, the +// error and (hooks) the links that wait, the groups, their rounds and the dependency arcs are equal. +// "Without" is the list without the dead participant, or (behind a black hole) with its route cut +// after its black hole, as the contract's property states it. `extra_arcs`: the dependency arcs of +// the added element's own live part that the comparison has none of. +void expect_same_without(const ListOut& with, const ListOut& without, std::size_t n, const std::string& where, + std::int64_t extra_arcs = 0) { + EXPECT_EQ(with.error, without.error) << where; + EXPECT_EQ(with.rounds, without.rounds) << where; + EXPECT_EQ(with.groups, without.groups) << where; + EXPECT_EQ(with.barrier_links, without.barrier_links) << where; +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(with.dependencies, without.dependencies + extra_arcs) << where; +#else + (void)extra_arcs; +#endif + auto first = [n](const auto& v) { + using V = std::decay_t; + return V(v.begin(), v.begin() + static_cast(std::min(n, v.size()))); + }; + EXPECT_EQ(first(with.arrivals), first(without.arrivals)) << where; + EXPECT_EQ(first(with.carried), first(without.carried)) << where; + EXPECT_EQ(first(with.edge_drops), first(without.edge_drops)) << where; + EXPECT_EQ(first(with.delivered), first(without.delivered)) << where; + EXPECT_EQ(with.edge_flows, without.edge_flows) << where; +} +std::string form_name(Form f) { + static const char* const kNames[] = {"tunnel", "DAG route", "DAG route beside an exit", "zero branch", "entry tunnel", "entry DAG route"}; + return kNames[static_cast(f)]; +} +const Form kDeadForms[] = {kTunnel, kDagRoute, kDagBesideExit}; + +// D-dead-tail: Z's traffic dies on link 3, its own black hole, so its occurrences on links 0 and 1 +// are dead: the period-2 error at round 3, as with Z cut after link 3 (and as without Z), with Z a +// tunnel, a DAG route alone or a DAG route beside an exit. The scalar call (one head, the routes +// its entries with weights = offers, the call's black hole on link 3, which only Z uses) gives the +// same, Z a tunnel or a DAG route, against Z cut after link 3. +void dead_tail(const Amounts& offers) { + const Routes routes {{2, 0}, {1, 0, 2}, {3, 0, 1}}; + const Routes cut {{2, 0}, {1, 0, 2}, {3}}; + const Amounts cap {2, 2, 1, 9}; + const std::vector dark {{}, {}, {3}}; + const auto alone = list_lossy({offers[0], offers[1]}, {routes[0], routes[1]}, cap); + EXPECT_EQ(alone.error, kPeriodTwo); + for (Form f : kDeadForms) { + const std::vector forms {kTunnel, kTunnel, f}; + const auto with = list_lossy(offers, routes, cap, dark, std::nullopt, forms); + EXPECT_EQ(with.error, kPeriodTwo) << form_name(f); +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(with.rounds, 3) << form_name(f); +#endif + expect_same_without(with, list_lossy(offers, cut, cap, dark, std::nullopt, forms), 2, form_name(f) + " against Z cut"); + EXPECT_EQ(with.barrier_links, alone.barrier_links) << form_name(f); + EXPECT_EQ(with.groups, alone.groups) << form_name(f); + } + for (bool dag : {false, true}) { + const auto with = lossy(offers, routes, cap, {}, {3}, {false, false, dag}); + const auto without = lossy(offers, cut, cap, {}, {3}, {false, false, dag}); + EXPECT_EQ(with.error, kPeriodTwo) << "scalar, dag " << dag; + EXPECT_EQ(with.error, without.error) << "scalar, dag " << dag; + EXPECT_EQ(with.rounds, without.rounds) << "scalar, dag " << dag; + EXPECT_EQ(with.groups, without.groups) << "scalar, dag " << dag; + EXPECT_EQ(with.barrier_links, without.barrier_links) << "scalar, dag " << dag; + EXPECT_EQ(with.dependencies, without.dependencies) << "scalar, dag " << dag; +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(with.rounds, 3) << "scalar, dag " << dag; +#endif + } +} +TEST(ContractExamples, D_dead_tail) { dead_tail({1, 2, 1}); } +// D-dead-waits: link 1 is a barrier with or without Z; Z's dead occurrences add no wait, so links 0 +// and 2 alone form the group. +TEST(ContractExamples, D_dead_waits) { dead_tail({1, 3, 3}); } +// D-zero-share-pair: D-cycle-subdivision-after plus a zero offer over link 2 alone, which ends there: +// links 2 and 3 stay a transparent pair, with Z a tunnel, a DAG route alone (a pooled head whose +// share is 0), a DAG route beside an exit (a split route whose share is 0) or a zero branch (a +// split route member whose whole-unit share is 0; its exit member's unit makes one arc of its own). +TEST(ContractExamples, D_zero_share_pair) { + const Routes routes {{1, 0, 2, 3}, {2, 3, 0}, {2, 3, 0, 1}, {2}}; + const Amounts cap {2, 4, 2, 2}; + const auto without = list_lossy({2, 1, 4}, {routes[0], routes[1], routes[2]}, cap); + for (Form f : {kTunnel, kDagRoute, kDagBesideExit, kZeroBranch}) { + const auto r = list_lossy({2, 1, 4, 0}, routes, cap, {}, std::nullopt, {kTunnel, kTunnel, kTunnel, f}); + expect_list(r, {{2, 2, 1, 0}, {1, 0, 0}, {4, 2, 2, 1}, {0}}, {{2, 1, 0, 0}, {0, 0, 0}, {2, 2, 1, 1}, {0}}, std::nullopt, {0, 0, 1, 0}, + {2, 3, 2, 2}); +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(r.rounds, 4) << form_name(f); +#endif + expect_same_without(r, without, 3, form_name(f), f == kZeroBranch ? 1 : 0); + } +} +// D-dead-subdivision: Z over links 2 and 3 with its own black hole on link 2 alone: its unit is +// dropped there and its occurrence on link 3 is dead, as before the split; with Z a tunnel, a DAG +// route alone or a DAG route beside an exit, against Z cut after link 2. +TEST(ContractExamples, D_dead_subdivision) { + const Routes routes {{1, 0, 2, 3}, {2, 3, 0}, {2, 3, 0, 1}, {2, 3}}; + const Routes cut {{1, 0, 2, 3}, {2, 3, 0}, {2, 3, 0, 1}, {2}}; + const Amounts cap {2, 4, 2, 2}; + const std::vector dark {{}, {}, {}, {2}}; + for (Form f : kDeadForms) { + const std::vector forms {kTunnel, kTunnel, kTunnel, f}; + const auto r = list_lossy({2, 1, 4, 1}, routes, cap, dark, std::nullopt, forms); + expect_list(r, {{2, 2, 1, 0}, {1, 0, 0}, {4, 2, 2, 1}, {1, 0}}, {{2, 1, 0, 0}, {0, 0, 0}, {2, 2, 1, 1}, {0, 0}}, + Routes {{0, 1, 1, 0}, {1, 0, 0}, {2, 0, 1, 0}, {1, 0}}, {0, 0, 1, 0}, {2, 3, 2, 2}); + if (f == kTunnel) EXPECT_EQ(r.status.back(), "BLACKHOLED"); + expect_same_without(r, list_lossy({2, 1, 4, 1}, cut, cap, dark, std::nullopt, forms), 3, form_name(f) + " against Z cut"); + } +} + +// A dead occurrence loads no link, so it makes no barrier. A: links 1, 0 (offer 1); B: 0, 2, 1 +// (offer 2); V = 2, 1, 2. With or without Z (links 3, 2, offer 2, its own black hole on link 3; a +// tunnel, a DAG route alone or a DAG route beside an exit) the period-2 error at round 3; Z's unit +// on link 2 counted in the no-drop loads would make link 2 a third barrier of the group and the +// iteration fail at the round limit (192 rounds). +TEST(DeadOccurrences, LoadNoLink) { + const Amounts cap {2, 1, 2, 9}; + const auto without = list_lossy({1, 2}, {{1, 0}, {0, 2, 1}}, cap); + EXPECT_EQ(without.error, kPeriodTwo); +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(without.rounds, 3); +#endif + for (Form f : kDeadForms) { + const std::vector forms {kTunnel, kTunnel, f}; + const auto with = list_lossy({1, 2, 2}, {{1, 0}, {0, 2, 1}, {3, 2}}, cap, {{}, {}, {3}}, std::nullopt, forms); + expect_same_without(with, list_lossy({1, 2, 2}, {{1, 0}, {0, 2, 1}, {3}}, cap, {{}, {}, {3}}, std::nullopt, forms), 2, + form_name(f) + " against Z cut"); + EXPECT_EQ(with.error, kPeriodTwo) << form_name(f); + EXPECT_EQ(with.barrier_links, without.barrier_links) << form_name(f); + } +} +// An empty entry (weight 0: it gets no share and is not forwarded) changes nothing: D-cycle- +// subdivision-after with a tunnel or a DAG route of weight 0 in A's program, over link 2 alone (it +// would break the pair 2, 3) or over links 2, 3, 0. +TEST(DeadOccurrences, EmptyEntriesChangeNothing) { + const Routes routes {{1, 0, 2, 3}, {2, 3, 0}, {2, 3, 0, 1}}; + const Amounts cap {2, 4, 2, 2}; + const auto without = list_lossy({2, 1, 4}, routes, cap); + for (Form f : {kEntryTunnel, kEntryDag}) { + for (const Ints& extra : {Ints {2}, Ints {2, 3, 0}}) { + Routes with_routes = routes; + with_routes.push_back(extra); + const auto with = list_lossy({2, 1, 4, 0}, with_routes, cap, {}, std::nullopt, {kTunnel, kTunnel, kTunnel, f}); + expect_same_without(with, without, 3, form_name(f) + " over " + std::to_string(extra.size()) + " links"); + EXPECT_EQ(with.delivered, (Amounts {0, 0, 1})); + } + } +} +// The scalar call with a real serial pair: D-zero-share-pair's routes as the entries of one head's +// program on the list layout (links 2 and 3 joined directly), weights 2, 1, 4, 1 at offer 7, so +// highest averages give Z (link 2 alone, then its own exit) a share of 0. Z a tunnel or a DAG +// route: delivery 1 and the structure of the call without Z (weights 2, 1, 4 at offer 7); counted in +// normalization, Z would keep links 2 and 3 from passing traffic through as one. +TEST(DeadOccurrences, ScalarSerialPairWithAZeroShareEntry) { + const Routes routes {{1, 0, 2, 3}, {2, 3, 0}, {2, 3, 0, 1}, {2}}; + const Amounts cap {2, 4, 2, 2}; + const Ints fuse = fused_links({2, 1, 4, 0}, routes, cap.size(), {}); + const auto without = list_lossy({2, 1, 4}, {routes[0], routes[1], routes[2]}, cap, {}, fuse, {kTunnel, kEntryTunnel, kEntryTunnel}, 7); + EXPECT_EQ(without.error, ""); + EXPECT_EQ(without.delivered, (Amounts {1})); + for (Form f : {kEntryTunnel, kEntryDag}) { + const auto with = list_lossy({2, 1, 4, 1}, routes, cap, {}, fuse, {kTunnel, kEntryTunnel, kEntryTunnel, f}, 7); + expect_same_without(with, without, 1, "scalar, Z an " + form_name(f)); +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(with.barrier_links, (Ints {0, 1, 2})) << form_name(f); // link 3 passes link 2's traffic through +#endif + } +} +// The scalar call: a dead entry changes no other output, structure included. D-crossing (A over +// links 0, 1 with weight 8; B over 0, 4; C over 1, 4; V 9, 7) plus Z over its own link 2 (the +// call's black hole) then link 0, weight 4, offer 20: Z's share dies on link 2. And D-dead-tail's +// routes with weights 1, 2, 1 and offer 3 (no black hole): highest averages give Z a share of 0. +// Z a tunnel or a DAG route; the outputs equal those without Z (D-crossing: offer 16; D-dead-tail: +// weights 1, 2 and offer 3, the same shares), and D-crossing's dependency arcs those with Z cut after +// its black hole (a DAG route's live part keeps the arcs of its own routers). +TEST(DeadOccurrences, ScalarCallsWithoutThem) { + for (bool dag : {false, true}) { + const std::string where = dag ? "DAG route" : "tunnel"; + const auto with = lossy({8, 4, 4, 4}, {{0, 1}, {0}, {1}, {2, 0}}, {9, 7, 9}, {}, {2}, {false, false, false, dag}); + const auto without = lossy({8, 4, 4}, {{0, 1}, {0}, {1}}, {9, 7, 9}); + EXPECT_EQ(with.error, "") << where; + EXPECT_EQ(Routes(with.carried.begin(), with.carried.begin() + 3), without.carried) << where; + EXPECT_EQ(Routes(with.edge_drops.begin(), with.edge_drops.begin() + 3), without.edge_drops) << where; + EXPECT_EQ(Amounts(with.delivered.begin(), with.delivered.begin() + 3), without.delivered) << where; + EXPECT_EQ(with.delivered[0], 4) << where; + EXPECT_EQ(with.edge_flows, without.edge_flows) << where; + EXPECT_EQ(with.barrier_links, without.barrier_links) << where; + EXPECT_EQ(with.groups, without.groups) << where; + // Z's live part up to its black hole (a DAG route's routers) keeps its own arcs: against Z cut. + const auto cut = lossy({8, 4, 4, 4}, {{0, 1}, {0}, {1}, {2}}, {9, 7, 9}, {}, {2}, {false, false, false, dag}); + EXPECT_EQ(with.dependencies, cut.dependencies) << where; + EXPECT_EQ(with.barrier_links, cut.barrier_links) << where; + const auto zero = lossy({1, 2, 1}, {{2, 0}, {1, 0, 2}, {3, 0, 1}}, {2, 2, 1, 9}, {}, {}, {false, false, dag}, 3); + const auto none = lossy({1, 2}, {{2, 0}, {1, 0, 2}}, {2, 2, 1, 9}, {}, {}, {}, 3); + EXPECT_EQ(zero.error, kPeriodTwo) << where; + EXPECT_EQ(zero.error, none.error) << where; + EXPECT_EQ(zero.rounds, none.rounds) << where; + EXPECT_EQ(zero.groups, none.groups) << where; + EXPECT_EQ(zero.barrier_links, none.barrier_links) << where; + EXPECT_EQ(zero.dependencies, none.dependencies) << where; + } +} +// The forwarding sizes follow the same loads: D-dead-tail has two barriers (links 0 and 2) and +// two dependency arcs (B: 0 before 2; A: 2 before 0; Z: none) with or without Z, so its event and +// dependency counts are those of the network without Z (counted in Z's no-drop load, link 1 would +// be a third barrier, with arcs to and from link 0). +TEST(DeadOccurrences, ForwardingSizesWithoutThem) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + using detail::ForwardingCounter; + struct Restore { + ~Restore() { detail::thread_forwarding_limits() = {}; } + } restore; + // The smallest limit of a counter that the call meets. + auto smallest = [](ForwardingCounter counter, const std::function& call) { + for (std::int64_t n = 1; n < 20; ++n) { + detail::thread_forwarding_limits() = {}; + detail::thread_forwarding_limits()[static_cast(counter)] = n; + if (call().error.find("limit exceeded") == std::string::npos) return n; + } + return std::int64_t {-1}; + }; + const std::function with_z = [] { return list_lossy({1, 2, 1}, {{2, 0}, {1, 0, 2}, {3, 0, 1}}, {2, 2, 1, 9}, {{}, {}, {3}}); }; + const std::function without_z = [] { return list_lossy({1, 2}, {{2, 0}, {1, 0, 2}}, {2, 2, 1, 9}); }; + EXPECT_EQ(smallest(ForwardingCounter::Event, with_z), 2); + EXPECT_EQ(smallest(ForwardingCounter::Event, without_z), 2); + EXPECT_EQ(smallest(ForwardingCounter::Dependency, with_z), 2); + EXPECT_EQ(smallest(ForwardingCounter::Dependency, without_z), 2); +#else + GTEST_SKIP() << "needs the private hooks"; +#endif +} + +// Python's random.Random(seed) for a small non-negative seed (MT19937 seeded from the seed's word, and +// the random(), randint, randrange and sample of CPython 3.11 and later on populations of at most +// 21), so the property below draws the contract's own inputs. +class PyRandom { +public: + explicit PyRandom(std::uint32_t seed) { + init(19650218U); + std::size_t i = 1; + for (std::size_t k = kN; k != 0; --k) { // the key array's mixing, with `seed` its one word + mt_[i] = (mt_[i] ^ ((mt_[i - 1] ^ (mt_[i - 1] >> 30)) * 1664525U)) + seed; + if (++i >= kN) { + mt_[0] = mt_[kN - 1]; + i = 1; + } + } + for (std::size_t k = kN - 1; k != 0; --k) { + mt_[i] = (mt_[i] ^ ((mt_[i - 1] ^ (mt_[i - 1] >> 30)) * 1566083941U)) - static_cast(i); + if (++i >= kN) { + mt_[0] = mt_[kN - 1]; + i = 1; + } + } + mt_[0] = 0x80000000U; + } + double random() { + const std::uint32_t a = next() >> 5; + const std::uint32_t b = next() >> 6; + return (a * 67108864.0 + b) * (1.0 / 9007199254740992.0); + } + std::int64_t randbelow(std::int64_t n) { + int k = 0; + while ((std::int64_t {1} << k) <= n) ++k; + std::int64_t r = next() >> (32 - k); + while (r >= n) r = next() >> (32 - k); + return r; + } + std::int64_t randint(std::int64_t a, std::int64_t b) { return a + randbelow(b - a + 1); } + Ints sample(std::int64_t n, std::int64_t k) { // sample(range(n), k) + Ints pool(static_cast(n)); + for (std::int64_t i = 0; i < n; ++i) pool[static_cast(i)] = i; + Ints out; + for (std::int64_t i = 0; i < k; ++i) { + const auto j = static_cast(randbelow(n - i)); + out.push_back(pool[j]); + pool[j] = pool[static_cast(n - i - 1)]; + } + return out; + } + +private: + static constexpr std::size_t kN = 624; + void init(std::uint32_t s) { + mt_[0] = s; + for (std::size_t i = 1; i < kN; ++i) mt_[i] = 1812433253U * (mt_[i - 1] ^ (mt_[i - 1] >> 30)) + static_cast(i); + index_ = kN; + } + std::uint32_t next() { + if (index_ >= kN) { + for (std::size_t i = 0; i < kN; ++i) { + const std::uint32_t y = (mt_[i] & 0x80000000U) | (mt_[(i + 1) % kN] & 0x7fffffffU); + mt_[i] = mt_[(i + 397) % kN] ^ (y >> 1) ^ ((y & 1U) != 0 ? 0x9908b0dfU : 0U); + } + index_ = 0; + } + std::uint32_t y = mt_[index_++]; + y ^= y >> 11; + y ^= (y << 7) & 0x9d2c5680U; + y ^= (y << 15) & 0xefc60000U; + y ^= y >> 18; + return y; + } + std::array mt_ {}; + std::size_t index_ {kN}; +}; + +// D-dead-demand-property (seed 4, 2000 trials): one added dead demand Z changes nothing. Small random +// inputs of simple-path demands; Z has a zero offer over 1 to 3 of their links, or an offer of 1 to 3 +// whose route reaches its own black hole (link k, a link of Z's own, inserted into its route, or one of +// its shared links) and continues behind it. The outcome with Z equals the outcome with Z's dead +// occurrences removed (without Z for a zero offer, Z's route cut after its black hole otherwise): every +// arrival, carried amount, drop and delivery of the others and of Z's prefix, every link flow, and an +// error with its round count (hooks); Z's dead occurrences show 0. Structure included (hooks): the +// links that wait, the groups and the dependency arcs are equal too. Z is a tunnel, a DAG route alone +// (a pooled context) and a DAG route beside an exit (a split route of a program that is not pooled), +// each on the same inputs. Both runs of a trial share one layout (fused_links of the input with Z). +TEST(ContractExamples, D_dead_demand_property) { + PyRandom rng(4); + std::array agree {}; + std::array errors {}; + std::int64_t zero = 0; + std::int64_t tail = 0; + for (int trial = 0; trial < 2000; ++trial) { + const auto k = rng.randint(3, 5); + Amounts cap; + for (std::int64_t e = 0; e < k; ++e) cap.push_back(rng.randint(1, 3)); + cap.push_back(9); + const auto n = static_cast(rng.randint(2, 4)); + Routes routes; + for (std::size_t i = 0; i < n; ++i) { + const auto len = rng.randint(2, std::min(4, k)); + routes.push_back(rng.sample(k, len)); + } + Amounts offers; + for (std::size_t i = 0; i < n; ++i) offers.push_back(rng.randint(1, 4)); + const Ints links = rng.sample(k, rng.randint(1, std::min(3, k))); + Amount z = 0; + Ints zr = links; + std::int64_t hole = -1; + if (rng.random() < 0.5) { + ++zero; + } else { + ++tail; + z = rng.randint(1, 3); + const auto p = rng.randbelow(static_cast(links.size())); + if (rng.random() < 0.5) { + zr.insert(zr.begin() + p, k); + hole = k; + } else { + hole = links[static_cast(p)]; + } + } + std::vector dark(n); + dark.push_back(hole < 0 ? Ints {} : Ints {hole}); + Amounts all_offers = offers; + all_offers.push_back(z); + Routes all_routes = routes; + all_routes.push_back(zr); + const Ints fuse = fused_links(all_offers, all_routes, cap.size(), dark); + const std::size_t cut = hole < 0 ? 0 : static_cast(std::find(zr.begin(), zr.end(), hole) - zr.begin()) + 1; + Routes cut_routes = all_routes; + if (cut != 0) cut_routes.back().resize(cut); + // The comparison: the others' rows and Z's prefix, deliveries, link flows, Z's dead tail all 0, + // the structure. + auto view = [&](const ListOut& r) { + std::vector rows; + bool quiet = true; + const auto structure = std::make_tuple(r.rounds, r.groups, r.barrier_links, r.dependencies); + if (!r.error.empty()) return std::make_tuple(r.error, structure, rows, Amounts {}, Amounts {}, quiet); + for (const Routes* key : {&r.arrivals, &r.carried, &r.edge_drops}) { + Routes x(key->begin(), key->begin() + static_cast(std::min(n, key->size()))); + if (cut != 0) x.push_back(Ints((*key)[n].begin(), (*key)[n].begin() + static_cast(cut))); + if (key != &r.edge_drops && key->size() > n) { + for (std::size_t j = cut; j < (*key)[n].size(); ++j) quiet = quiet && (*key)[n][j] == 0; + } + rows.push_back(x); + } + const Amounts delivered(r.delivered.begin(), r.delivered.begin() + static_cast(std::min(n, r.delivered.size()))); + return std::make_tuple(r.error, structure, rows, delivered, r.edge_flows, quiet); + }; + for (std::size_t f = 0; f < 3; ++f) { + std::vector forms(n, kTunnel); + forms.push_back(kDeadForms[f]); + const auto full = list_lossy(all_offers, all_routes, cap, dark, fuse, forms); + const auto shorter = hole < 0 ? list_lossy(offers, routes, cap, {}, fuse) : list_lossy(all_offers, cut_routes, cap, dark, fuse, forms); + const bool same = view(full) == view(shorter); + EXPECT_TRUE(same) << "trial " << trial << ", Z a " << form_name(kDeadForms[f]); + agree[f] += same ? 1 : 0; + errors[f] += full.error.empty() ? 0 : 1; + } + } + EXPECT_EQ(zero, 993); + EXPECT_EQ(tail, 1007); + for (std::size_t f = 0; f < 3; ++f) { + EXPECT_EQ(agree[f], 2000) << form_name(kDeadForms[f]); + EXPECT_EQ(errors[f], 55) << form_name(kDeadForms[f]); + } +} // The documented call: two ECMP LOSSY policies on one link of 10. TEST(ContractExamples, D_simultaneous) { const Net n({{0, 1, 10, 1}}); diff --git a/tests/cpp/joint_forwarding_tests.cpp b/tests/cpp/joint_forwarding_tests.cpp index 74089ec..8695949 100644 --- a/tests/cpp/joint_forwarding_tests.cpp +++ b/tests/cpp/joint_forwarding_tests.cpp @@ -10,6 +10,7 @@ #include #include +#include #include #include #include @@ -103,10 +104,19 @@ Amounts hierarchical(Amount total, const Amounts& arrivals, const std::vector& comps, const Amounts& cap) { const std::size_t n = comps.size(); auto black = [&](std::size_t i, std::size_t j) { return comps[i].dark.count(comps[i].route[j]) != 0; }; + // Dead: can carry nothing (a zero offer, or behind its own black hole); no part in the loads, + // the waits or serial normalization. + auto dead = [&](std::size_t i, std::size_t j) { + if (comps[i].offer == 0) return true; + for (std::size_t k = 0; k < j; ++k) { + if (black(i, k)) return true; + } + return false; + }; std::map>> occ; for (std::size_t i = 0; i < n; ++i) { for (std::size_t j = 0; j < comps[i].route.size(); ++j) { - if (!black(i, j)) occ[comps[i].route[j]].emplace_back(i, j); + if (!black(i, j) && !dead(i, j)) occ[comps[i].route[j]].emplace_back(i, j); } } std::set binding; @@ -146,7 +156,7 @@ RefResult reference(const std::vector& comps, const Amounts& cap) { const EdgeId e = comps[i].route[j]; const Node r {0, static_cast(i), static_cast(j)}; const Node r2 {0, static_cast(i), static_cast(j + 1)}; - if (binding.count(e) != 0 && !black(i, j)) { + if (binding.count(e) != 0 && !black(i, j) && !dead(i, j)) { arc(r, Node {1, e, 0}); arc(Node {1, e, 0}, r2); } else { @@ -1077,6 +1087,523 @@ TEST(JointForwarding, PooledRootsBlockSerialPairs) { EXPECT_EQ(two[1].delivered, 1); } +// A head whose share is 0 injects nothing and carries nothing (its occurrences are dead), and a dark +// member's traffic goes no further. Chain 0->1->2->3, a pooled demand of sources {0, 1, 2}, four +// routers. Capacities (1, 1, 1), shares (2, 0, 0): only e0 can drop and e1, e2 continue it (nodes 1 +// and 2 inject nothing), so one barrier: five events (hooks: the event limit 5 is met). Capacities +// (2, 1, 2), shares (0, 2, 0): e1's first occurrence is source 0's, which carries nothing, yet e1 +// waits for source 1's arrival: delivered 1, source 1 drops 1 on e1. Capacities (1, 1, 1), shares +// (2, 0, 0), e0 black-holed: source 0's traffic dies on e0, so e1 and e2 can carry nothing: no +// barrier, four events. Each equals the kernel, and the program of its one live source alone +// (the same plan without the heads that carry nothing): that source's amounts and (hooks) the +// links that wait, the groups and the dependency arcs. +TEST(JointForwarding, ZeroShareHeadsOfAPooledDemand) { + struct Restore { + ~Restore() { +#if NETGRAPH_CORE_PRIVATE_HOOKS + detail::thread_forwarding_limits() = {}; +#endif + } + } restore; + struct Case { + Amount v1; + Amounts shares; + bool black; + std::int64_t events; + Amounts delivered; + }; + for (const auto& c : {Case {1, {2, 0, 0}, false, 5, {1, 0, 0}}, Case {1, {0, 2, 0}, false, 5, {0, 1, 0}}, + Case {1, {2, 0, 0}, true, 4, {0, 0, 0}}}) { + const Amount v0 = c.shares[1] != 0 ? 2 : 1; + const auto g = shared(make_graph(4, {{0, 1, v0, 1}, {1, 2, c.v1, 1}, {2, 3, v0, 1}})); + const auto a = pooled_program(g, {0, 1, 2}, 3); + const auto black = c.black ? std::make_shared(g->eligibility({}, std::vector {0})) : nullptr; + const auto va = detail::make_forwarding_view(*g, a, nullptr, std::vector {3}, black.get()); + const auto kernel = detail::lossy(va, capacities(*g), c.shares); +#if NETGRAPH_CORE_PRIVATE_HOOKS + detail::thread_forwarding_limits()[static_cast(detail::ForwardingCounter::Event)] = c.events; +#endif + const detail::ForwardingDemand alone {&va, c.shares}; + const auto one = detail::lossy(std::span(&alone, 1), capacities(*g)); +#if NETGRAPH_CORE_PRIVATE_HOOKS + detail::thread_forwarding_limits() = {}; +#endif + const std::string where = "shares " + std::to_string(c.shares[0]) + std::to_string(c.shares[1]) + (c.black ? " black" : ""); + same_flow(one.front(), kernel, where); + for (std::size_t h = 0; h < 3; ++h) EXPECT_EQ(one.front().entries[h].delivered, c.delivered[h]) << where << " source " << h; +#if NETGRAPH_CORE_PRIVATE_HOOKS + const auto structure = std::make_tuple(detail::thread_lossy_counters().groups, detail::thread_lossy_counters().barriers, + detail::thread_lossy_counters().dependencies); +#endif + const std::size_t live = c.shares[0] != 0 ? 0 : 1; + const auto b = pooled_program(g, {static_cast(live)}, 3); + const auto vb = detail::make_forwarding_view(*g, b, nullptr, std::vector {3}, black.get()); + const Amounts ib {c.shares[live]}; + const detail::ForwardingDemand only {&vb, ib}; + const auto lone = detail::lossy(std::span(&only, 1), capacities(*g)); + EXPECT_EQ(one.front().entries[live].delivered, lone.front().entries[0].delivered) << where; + EXPECT_EQ(one.front().entries[live].edge_flows, lone.front().entries[0].edge_flows) << where; + EXPECT_EQ(one.front().entries[live].edge_drops, lone.front().entries[0].edge_drops) << where; +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(structure, std::make_tuple(detail::thread_lossy_counters().groups, detail::thread_lossy_counters().barriers, + detail::thread_lossy_counters().dependencies)) + << where; +#endif + } +} + +// Serial normalization reads only what can carry something: a router's merges and branches are +// those of its live members. Each case against the same program without its dead member, pooled +// (from_dag) and not (the DAG route beside a tunnel of weight 0), on links of capacity 0 that drop +// everything (so every link with traffic can drop, and a link that passes its predecessor's traffic +// through is no barrier): the delivery and (hooks) the links that wait, the groups and the arcs. +// - Dead branch: e0 0->1, e1 1->2, e2 1->3 (capacity 9); one unit, round robin sends it to e1, so +// e2 carries nothing and e0, e1 stay a pair: one barrier, e0. +// - Dead merge in one split route: e0 0->1 and e1 0->2 (capacity 9), e2 1->3, e3 2->3, e4 3->4; one +// unit takes e0 and e2, so e1 and e3 carry nothing and e2, e4 stay a pair: one barrier, e2. +// - Dead merge of a pooled source: e0 0->2 (capacity 9), e1 1->2, e2 2->3; sources 0 and 1. Source 0's +// share is 0, or its 1 dies on e0, its own black hole (its router arc stays: one more arc); e1, e2 +// stay a pair: one barrier, e1. +TEST(JointForwarding, DeadBranchesAndMergesKeepPairs) { + struct Seen { + Amount delivered {0}; + std::vector barriers; + std::int64_t groups {-1}; + std::int64_t dependencies {-1}; + }; + auto run = [](const std::shared_ptr& g, const std::shared_ptr& prog, const Amounts& inject, + std::vector dests, const std::vector& black) { + const auto holes = black.empty() ? nullptr : std::make_shared(g->eligibility({}, black)); + const auto view = detail::make_forwarding_view(*g, prog, nullptr, dests, holes.get()); + const detail::ForwardingDemand demand {&view, inject}; + const auto out = detail::lossy(std::span(&demand, 1), capacities(*g)); + Seen seen {out.front().delivered, {}, -1, -1}; +#if NETGRAPH_CORE_PRIVATE_HOOKS + seen.barriers = detail::thread_lossy_counters().barriers; + seen.groups = detail::thread_lossy_counters().groups; + seen.dependencies = detail::thread_lossy_counters().dependencies; +#endif + return seen; + }; + // A program of one DAG route from `source`, pooled or beside a weight-0 tunnel over `path`. + auto program = [](const std::shared_ptr& g, NodeId source, const std::vector& dests, const std::vector& members, + bool pooled, const std::vector& path) { + const NodeId s[1] = {source}; + if (pooled) return ForwardingProgram::from_dag(*g, s, dests, dag_of(*g, members), RouteOptions {}); + std::vector> hops; + for (EdgeId e : path) hops.push_back({e}); + const std::vector defs {RouteDefinition {source, dag_of(*g, members), 1}, + RouteDefinition {source, std::make_shared(*g, hops), 0}}; + return ForwardingProgram::from_routes(*g, s, dests, defs); + }; + auto expect_same = [](const Seen& with, const Seen& without, std::int64_t extra_arcs, const std::string& where) { + EXPECT_EQ(with.delivered, without.delivered) << where; + EXPECT_EQ(with.barriers, without.barriers) << where; + EXPECT_EQ(with.groups, without.groups) << where; +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(with.dependencies, without.dependencies + extra_arcs) << where; +#else + (void)extra_arcs; +#endif + }; + for (bool pooled : {true, false}) { + const std::string kind = pooled ? "pooled" : "not pooled"; + { + const auto g = shared(make_graph(4, {{0, 1, 0, 1}, {1, 2, 0, 1}, {1, 3, 9, 1}})); + const auto id = id_of_input(*g); + const auto with = run(g, program(g, 0, {2, 3}, {id[0], id[1], id[2]}, pooled, {id[0], id[1]}), {1}, {2, 3}, {}); + const auto without = run(g, program(g, 0, {2}, {id[0], id[1]}, pooled, {id[0], id[1]}), {1}, {2}, {}); + expect_same(with, without, 0, "dead branch, " + kind); +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(with.barriers, (std::vector {id[0]})) << kind; +#endif + } + { + const auto g = shared(make_graph(5, {{0, 1, 9, 1}, {0, 2, 9, 1}, {1, 3, 0, 1}, {2, 3, 0, 1}, {3, 4, 0, 1}})); + const auto id = id_of_input(*g); + const std::vector path {id[0], id[2], id[4]}; + const auto with = run(g, program(g, 0, {4}, {id[0], id[1], id[2], id[3], id[4]}, pooled, path), {1}, {4}, {}); + const auto without = run(g, program(g, 0, {4}, path, pooled, path), {1}, {4}, {}); + expect_same(with, without, 0, "dead merge in one split route, " + kind); +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(with.barriers, (std::vector {id[2]})) << kind; +#endif + } + } + const auto g = shared(make_graph(4, {{0, 2, 9, 1}, {1, 2, 0, 1}, {2, 3, 0, 1}})); + const auto id = id_of_input(*g); + const NodeId both[2] = {0, 1}; + const NodeId live[1] = {1}; + const NodeId d[1] = {3}; + const auto two = ForwardingProgram::from_dag(*g, both, d, dag_of(*g, {id[0], id[1], id[2]}), RouteOptions {}); + const auto without = run(g, ForwardingProgram::from_dag(*g, live, d, dag_of(*g, {id[1], id[2]}), RouteOptions {}), {1}, {3}, {}); + expect_same(run(g, two, {0, 1}, {3}, {}), without, 0, "dead merge of a zero-share source"); + expect_same(run(g, two, {1, 1}, {3}, {id[0]}), without, 1, "dead merge of a black-holed source"); +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(without.barriers, (std::vector {id[1]})); +#endif +} + +// Adding an element that can carry nothing changes nothing, on every path of the rule: random small +// graphs with cycles (six inner nodes, each with an exit to the destination), +// two to four demands that are tunnels, split routes (a DAG route beside a tunnel of weight 0) or +// pooled contexts (from_dag over two sources), each over one or two random walks of up to four inner +// links, and one added element: +// - a tunnel whose offer is 0; +// - a tunnel behind its own black hole (against the tunnel cut after its black hole); +// - a pooled source whose share is 0, its walk merging into its demand's DAG; +// - such a source behind its own black hole (its black-holed first link keeps one router arc); +// - a branch that round robin leaves empty (one unit at its root, the branch on the higher EdgeId), +// its walk merging back or reaching the destination, pooled and not; +// - a source of share 0 inside a demand: a tunnel or a DAG route of a new head, or a pooled source +// on the demand's DAG (its root inside a chain). +// One demand in a quarter of the draws; in half of those the element joins that demand (the +// scalar path). +// With and without the element: every demand's delivery and carried amounts per link, the drops of +// every demand whose own traffic is unchanged, the error, and (hooks) the rounds, the groups, the +// links that wait and the dependency arcs. +TEST(JointForwarding, DeadElementsChangeNothingOnEveryPath) { + std::mt19937 rng(20261021); + const NodeId inner = 6; + const NodeId dst = inner; + struct Part { + std::shared_ptr prog; + std::shared_ptr black; + Amounts inject; + }; + struct Seen { + std::string error; + Amounts delivered; + std::vector> carried; + std::vector> drops; + std::int64_t rounds {-1}; + std::int64_t groups {-1}; + std::vector barriers; + std::int64_t dependencies {-1}; + }; + std::array kinds {}; + int checked = 0; + int skipped = 0; + int cyclic = 0; + int errors = 0; + for (int trial = 0; trial < 8000; ++trial) { + std::vector rows; + for (NodeId u = 0; u < inner; ++u) { + for (NodeId w = 0; w < inner; ++w) { + if (u != w && rng() % 2 == 0) rows.push_back({u, w, static_cast(rng() % 4), 1}); + } + rows.push_back({u, dst, static_cast(1 + rng() % 5), 1}); + } + const auto g = shared(make_graph(inner + 1, rows)); + std::vector> outs(static_cast(inner)); + std::vector exit(static_cast(inner), -1); + for (EdgeId e = 0; e < g->num_edges(); ++e) { + const auto u = g->edge_sources()[static_cast(e)]; + const auto w = g->edge_destinations()[static_cast(e)]; + if (w == dst) { + exit[static_cast(u)] = e; + } else { + outs[static_cast(u)].push_back(e); + } + } + auto head_of = [&](EdgeId e) { return g->edge_destinations()[static_cast(e)]; }; + // A random simple walk from u (0 to 3 inner links, avoiding `avoid`), ending at the destination + // or, when it can, at a node of `merge` (taken half of the time it is offered). + auto walk = [&](NodeId u, std::set avoid, const std::set& merge) { + std::vector path; + avoid.insert(u); + const int len = static_cast(rng() % 5); + for (int k = 0; k <= len; ++k) { + std::vector into; + std::vector free; + for (EdgeId e : outs[static_cast(u)]) { + const auto w = head_of(e); + if (merge.count(w) != 0) into.push_back(e); + if (avoid.count(w) == 0 && merge.count(w) == 0) free.push_back(e); + } + if (!into.empty() && rng() % 2 == 0) { + path.push_back(into[rng() % into.size()]); + return path; + } + if (k == len || free.empty()) break; + const EdgeId e = free[rng() % free.size()]; + path.push_back(e); + u = head_of(e); + avoid.insert(u); + } + path.push_back(exit[static_cast(u)]); + return path; + }; + auto nodes_of = [&](const std::vector& es) { + std::set out; + for (EdgeId e : es) { + out.insert(g->edge_sources()[static_cast(e)]); + out.insert(head_of(e)); + } + out.erase(dst); + return out; + }; + auto path_of = [&](const std::vector& es) { + std::vector> hops; + for (EdgeId e : es) hops.push_back({e}); + return std::make_shared(*g, hops); + }; + // The union of two member sets; a union with a cycle is no route (thrown as invalid_argument: the + // trial is skipped). + auto unite = [&](std::vector a, const std::vector& b) { + a.insert(a.end(), b.begin(), b.end()); + std::sort(a.begin(), a.end()); + a.erase(std::unique(a.begin(), a.end()), a.end()); + std::vector indegree(static_cast(inner) + 1, 0); + for (EdgeId e : a) ++indegree[static_cast(head_of(e))]; + std::vector ready; + for (NodeId v = 0; v <= inner; ++v) { + if (indegree[static_cast(v)] == 0) ready.push_back(v); + } + std::size_t seen = 0; + while (!ready.empty()) { + const NodeId v = ready.back(); + ready.pop_back(); + ++seen; + for (EdgeId e : a) { + if (g->edge_sources()[static_cast(e)] == v && --indegree[static_cast(head_of(e))] == 0) ready.push_back(head_of(e)); + } + } + if (seen != static_cast(inner) + 1) throw std::invalid_argument("cyclic union"); + return a; + }; + const NodeId d[1] = {dst}; + std::vector with; + std::vector without; + int pooled_at = -1; + std::vector pooled_sources; + std::vector pooled_members; + std::vector> defs_of; // per demand built from routes: its definitions + try { + const int n = 1 + static_cast(rng() % 4); + for (int i = 0; i < n; ++i) { + const auto kind = rng() % 3; + const auto h = static_cast(rng() % inner); + if (kind == 0) { + std::vector defs {RouteDefinition {h, path_of(walk(h, {}, {})), 1 + static_cast(rng() % 3)}}; + if (rng() % 2 == 0) defs.push_back(RouteDefinition {h, path_of(walk(h, {}, {})), 1 + static_cast(rng() % 3)}); + const NodeId s[1] = {h}; + with.push_back({ForwardingProgram::from_routes(*g, s, d, defs), nullptr, {static_cast(rng() % 6)}}); + defs_of.push_back(defs); + } else if (kind == 1) { + const auto w1 = walk(h, {}, {}); + const auto members = rng() % 2 == 0 ? unite(w1, walk(h, {}, {})) : w1; + const NodeId s[1] = {h}; + const std::vector defs {RouteDefinition {h, dag_of(*g, members), 1}, RouteDefinition {h, path_of(w1), 0}}; + with.push_back({ForwardingProgram::from_routes(*g, s, d, defs), nullptr, {static_cast(rng() % 6)}}); + defs_of.push_back(defs); + } else { + NodeId h2 = static_cast(rng() % inner); + if (h2 == h) h2 = (h + 1) % inner; + const auto members = unite(walk(h, {}, {}), walk(h2, {}, {})); + std::vector s {std::min(h, h2), std::max(h, h2)}; + with.push_back({ForwardingProgram::from_dag(*g, s, d, dag_of(*g, members), RouteOptions {}), nullptr, + {static_cast(rng() % 6), static_cast(rng() % 6)}}); + defs_of.emplace_back(); + if (pooled_at < 0) { + pooled_at = i; + pooled_sources = s; + pooled_members = members; + } + } + } + without = with; + auto kind = static_cast(rng() % 7); + if (n == 1 && kind != 6 && rng() % 2 == 0) kind = pooled_at >= 0 ? 2 + rng() % 2 : 6; // the element joins the one demand + if ((kind == 2 || kind == 3) && pooled_at < 0) kind = 0; + const auto h = static_cast(rng() % inner); + const NodeId s[1] = {h}; + if (kind == 0) { + with.push_back({ForwardingProgram::from_routes(*g, s, d, std::vector {RouteDefinition {h, path_of(walk(h, {}, {})), 1}}), + nullptr, {0}}); + } else if (kind == 1) { + const auto w = walk(h, {}, {}); + const auto p = rng() % w.size(); + const auto black = std::make_shared(g->eligibility({}, std::vector {w[p]})); + const Amount z = 1 + static_cast(rng() % 3); + with.push_back({ForwardingProgram::from_routes(*g, s, d, std::vector {RouteDefinition {h, path_of(w), 1}}), black, {z}}); + const std::vector cut(w.begin(), w.begin() + static_cast(p) + 1); + const NodeId end[1] = {head_of(cut.back())}; + without.push_back({ForwardingProgram::from_routes(*g, s, end, std::vector {RouteDefinition {h, path_of(cut), 1}}), black, {z}}); + } else if (kind == 2 || kind == 3) { + const auto live = nodes_of(pooled_members); + std::vector free; + for (NodeId v = 0; v < inner; ++v) { + if (live.count(v) == 0) free.push_back(v); + } + if (free.empty()) { + ++skipped; + continue; + } + const NodeId h0 = free[rng() % free.size()]; + const auto w = walk(h0, live, live); + std::vector sources = pooled_sources; + sources.push_back(h0); + std::sort(sources.begin(), sources.end()); + auto& part = with[static_cast(pooled_at)]; + const auto old_inject = part.inject; + part.prog = ForwardingProgram::from_dag(*g, sources, d, dag_of(*g, unite(pooled_members, w)), RouteOptions {}); + part.inject.clear(); + for (NodeId v : part.prog->sources()) { + if (v == h0) { + part.inject.push_back(kind == 2 ? 0 : 1 + static_cast(rng() % 3)); + } else { + part.inject.push_back(old_inject[v == pooled_sources[0] ? 0 : 1]); + } + } + if (kind == 3) part.black = std::make_shared(g->eligibility({}, std::vector {w.front()})); + } else if (kind == 6) { + // A source of share 0 inside demand i: a new head's tunnel or DAG route, or a pooled source + // on the demand's DAG. + const auto i = static_cast(rng() % static_cast(n)); + auto& part = with[i]; + std::vector sources(part.prog->sources().begin(), part.prog->sources().end()); + NodeId h0 = -1; + if (defs_of[i].empty()) { + std::vector inside; + for (NodeId v : nodes_of(i == static_cast(pooled_at) ? pooled_members : std::vector {})) { + if (std::find(sources.begin(), sources.end(), v) == sources.end()) inside.push_back(v); + } + if (inside.empty()) { + ++skipped; + continue; + } + h0 = inside[rng() % inside.size()]; + sources.push_back(h0); + std::sort(sources.begin(), sources.end()); + part.prog = ForwardingProgram::from_dag(*g, sources, d, dag_of(*g, pooled_members), RouteOptions {}); + } else { + h0 = static_cast(rng() % inner); + if (std::find(sources.begin(), sources.end(), h0) != sources.end()) { + ++skipped; + continue; + } + auto defs = defs_of[i]; + const auto w = walk(h0, {}, {}); + if (rng() % 2 == 0) { + defs.push_back(RouteDefinition {h0, path_of(w), 1}); + } else { + defs.push_back(RouteDefinition {h0, dag_of(*g, w), 1}); + } + sources.push_back(h0); + std::sort(sources.begin(), sources.end()); + part.prog = ForwardingProgram::from_routes(*g, sources, d, defs); + } + const auto old = without[i].prog->sources(); + const auto old_inject = part.inject; + part.inject.clear(); + for (NodeId v : part.prog->sources()) { + const auto at = std::find(old.begin(), old.end(), v); + part.inject.push_back(v == h0 ? 0 : old_inject[static_cast(at - old.begin())]); + } + } else { + // The live walk W from h; the branch on a higher EdgeId out of h than W's first link. + const auto w = walk(h, {}, {}); + std::vector later; + for (EdgeId e : outs[static_cast(h)]) { + if (e > w.front() && std::find(w.begin(), w.end(), e) == w.end()) later.push_back(e); + } + if (exit[static_cast(h)] > w.front() && exit[static_cast(h)] != w.front()) later.push_back(exit[static_cast(h)]); + if (later.empty()) { + ++skipped; + continue; + } + const EdgeId branch = later[rng() % later.size()]; + auto live = nodes_of(w); + std::vector dead {branch}; + const auto b = head_of(branch); + if (b != dst && live.count(b) == 0) { + auto avoid = live; + const auto rest = walk(b, avoid, live); + dead.insert(dead.end(), rest.begin(), rest.end()); + } + auto program = [&](const std::vector& members) { + if (kind == 4) return ForwardingProgram::from_dag(*g, s, d, dag_of(*g, members), RouteOptions {}); + return ForwardingProgram::from_routes(*g, s, d, + std::vector {RouteDefinition {h, dag_of(*g, members), 1}, + RouteDefinition {h, path_of(w), 0}}); + }; + with.push_back({program(unite(w, dead)), nullptr, {1}}); + without.push_back({program(w), nullptr, {1}}); + } + ++kinds[kind]; + auto evaluate = [&](const std::vector& parts) { + std::vector> views; + std::vector demands; + for (const auto& p : parts) { + views.push_back(std::make_unique(detail::make_forwarding_view( + *g, p.prog, nullptr, std::vector(p.prog->destinations().begin(), p.prog->destinations().end()), p.black.get()))); + demands.push_back({views.back().get(), p.inject}); + } + Seen seen; + std::vector got; + try { + got = detail::lossy(demands, capacities(*g)); + } catch (const std::invalid_argument& e) { + seen.error = e.what(); + } +#if NETGRAPH_CORE_PRIVATE_HOOKS + seen.rounds = detail::thread_lossy_counters().rounds; + seen.groups = detail::thread_lossy_counters().groups; + seen.barriers = detail::thread_lossy_counters().barriers; + seen.dependencies = detail::thread_lossy_counters().dependencies; +#endif + for (const auto& f : got) { + seen.delivered.push_back(f.delivered); + std::map c; + std::map dr; + for (const auto& entry : f.entries) { + for (const auto& [e, x] : entry.edge_flows) c[e] += x; + for (const auto& [e, x] : entry.edge_drops) dr[e] += x; + } + seen.carried.push_back(c); + seen.drops.push_back(dr); + } + return seen; + }; + const auto a = evaluate(with); + const auto b = evaluate(without); + const std::string where = "trial " + std::to_string(trial) + ", kind " + std::to_string(kind); + EXPECT_EQ(a.error, b.error) << where; + EXPECT_EQ(a.rounds, b.rounds) << where; + EXPECT_EQ(a.groups, b.groups) << where; + EXPECT_EQ(a.barriers, b.barriers) << where; +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_EQ(a.dependencies, b.dependencies + (kind == 3 ? 1 : 0)) << where; +#endif + if (a.error.empty() && b.error.empty()) { + // Demands present in both runs: the live ones, and the added tunnel cut or branch removed. + const std::size_t both = std::min(a.delivered.size(), b.delivered.size()); + for (std::size_t i = 0; i < both; ++i) { + EXPECT_EQ(a.delivered[i], b.delivered[i]) << where << ", demand " << i; + EXPECT_EQ(a.carried[i], b.carried[i]) << where << ", demand " << i; + if (!(kind == 3 && static_cast(i) == pooled_at)) EXPECT_EQ(a.drops[i], b.drops[i]) << where << ", demand " << i; + } + } + errors += a.error.empty() ? 0 : 1; + cyclic += a.groups > 0 ? 1 : 0; + ++checked; + } catch (const std::invalid_argument&) { + ++skipped; // a random member set the builders refuse (a cycle, no route to the destination) + } + if (::testing::Test::HasFailure()) return; + } + RecordProperty("checked", checked); + RecordProperty("skipped", skipped); + RecordProperty("cyclic", cyclic); + RecordProperty("errors", errors); + EXPECT_GT(checked, 3500); + for (std::size_t k = 0; k < kinds.size(); ++k) EXPECT_GT(kinds[k], 300) << "kind " << k; +#if NETGRAPH_CORE_PRIVATE_HOOKS + EXPECT_GT(cyclic, 50); // not vacuous: groups iterated +#endif +} + // The source-labelled round state. E = e0 0->1 (1), F = e1 2->3 (1); wide e2 4->0, e3 1->2, e4 // 5->2, e5 3->6, e6 7->2, e7 3->0, e8 1->8. A pooled sources {4, 5} -> 6 (offer 2: one each), B a // tunnel [e6, e1, e7, e0, e8] from 7 to 8 (offer 1). One cyclic group {E, F}; the state (E: A4, B; diff --git a/tests/py/test_apply_actions.py b/tests/py/test_apply_actions.py index 127686b..322ea32 100644 --- a/tests/py/test_apply_actions.py +++ b/tests/py/test_apply_actions.py @@ -1176,6 +1176,129 @@ def test_zero_shares_add_no_arc(): assert refused(w, actions, SIMULTANEOUS) == PERIOD_TWO +def test_members_that_carry_nothing_change_nothing(): + # D-cycle-subdivision-after (A over links 1, 0, 2, 3 with offer 2; B over 2, 3, 0 with offer 1; + # C over 2, 3, 0, 1 with offer 4; links of 2, 4, 2, 2; links 2 and 3 joined directly at node 10) + # delivers 0, 0, 1. B becomes a DAG program with a member that carries nothing at node 10: a + # second pooled source (node 12, its own link into node 10) with share 0, or whose link is B's + # own black hole; a branch from node 10 to a destination of its own (node 13) that round robin + # leaves empty; a merge into node 10 from B's source over node 12 that round robin leaves empty + # (pooled, and as a DAG route beside a tunnel of weight 0). Links 2 and 3 stay a pair: the same + # deliveries and link flows as without the member. sA 0, sB 1, sC 2, d 3; link e from 4 + 2e. + rows = [ + (4, 5, 2, 1), + (6, 7, 4, 1), + (8, 10, 2, 1), + (10, 11, 2, 1), + (0, 6, 100, 1), + (7, 4, 100, 1), + (5, 8, 100, 1), + (11, 3, 100, 1), + (1, 8, 100, 1), + (11, 4, 100, 1), + (5, 3, 100, 1), + (2, 8, 100, 1), + (5, 6, 100, 1), + (7, 3, 100, 1), + (12, 10, 9, 1), + (10, 13, 100, 1), + (1, 12, 100, 1), + ] + + def call(case, pooled=True): + g, i = mapped(14, rows) + assert i[3] < i[15] and i[8] < i[16] + w = World(g) + a = w.pin(tunnel(g, 0, 3, [i[k] for k in (4, 1, 5, 0, 6, 2, 3, 7)])) + path = [i[k] for k in (8, 2, 3, 9, 0, 10)] + members, sources, dests = list(path), [1], [3] + if case in ("zero share", "black hole"): + members, sources = [*members, i[14]], [1, 12] + if case == "branch": + members, dests = [*members, i[15]], [3, 13] + if case == "merge": + members = [*members, i[16], i[14]] + if pooled: + program = ngc.ForwardingProgram.from_dag( + g, sources, dests, dag_of(g, members) + ) + else: + routes = [ + ngc.RouteDefinition(1, dag_of(g, members)), + ngc.RouteDefinition(1, ngc.Path(g, [[e] for e in path]), weight=0), + ] + program = ngc.ForwardingProgram.from_routes(g, sources, dests, routes) + black = no_edges(g, [i[14]]) if case == "black hole" else None + b = w.pin(program, LY, black) + c = w.pin(tunnel(g, 2, 3, [i[k] for k in (11, 2, 3, 9, 0, 12, 1, 13)])) + offer = 2 if case == "black hole" else 1 + actions = [ngc.Replace(a, 2), ngc.Replace(b, offer), ngc.Replace(c, 4)] + try: + results = run(w, actions, SIMULTANEOUS) + except ValueError as e: + return str(e) + carried = w.ledger.carried().tolist() + return [r.call_delivered for r in results], [carried[i[e]] for e in range(4)] + + for case, pooled in ( + ("zero share", True), + ("black hole", True), + ("branch", True), + ("branch", False), + ("merge", True), + ("merge", False), + ): + without = call("none", pooled) + assert without[0] == [0, 0, 1], (case, pooled) + assert call(case, pooled) == without, (case, pooled) + + +def test_dead_tails_take_no_part(): + # Traffic behind a demand's own black hole can carry nothing: D-dead-tail (A over links 2, 0 + # with offer 1; B over 1, 0, 2 with offer 2; links of 2, 2, 1, 9) gives the period-2 error + # without Z, and with Z (its own black hole on link 3) over links 3, 0, 1 with offer 1 as a + # tunnel or as a supplied DAG route (a pooled context), or with offer 2 as that DAG route + # beside a tunnel on its own exit (a split route of a program that is not pooled). sA 0, sB 1, + # sZ 2, d 3; link e from 4 + 2e to 5 + 2e (rows 0 to 3), joined by links of 100; Z's exit is + # row 15. + rows = [ + (4, 5, 2, 1), + (6, 7, 2, 1), + (8, 9, 1, 1), + (10, 11, 9, 1), + (0, 8, 100, 1), + (9, 4, 100, 1), + (5, 3, 100, 1), + (1, 6, 100, 1), + (7, 4, 100, 1), + (5, 8, 100, 1), + (9, 3, 100, 1), + (2, 10, 100, 1), + (11, 4, 100, 1), + (5, 6, 100, 1), + (7, 3, 100, 1), + (2, 3, 100, 1), + ] + for z in ("none", "tunnel", "DAG route", "DAG route and tunnel"): + g, i = mapped(12, rows) + w = World(g) + a = w.pin(tunnel(g, 0, 3, [i[k] for k in (4, 2, 5, 0, 6)])) + b = w.pin(tunnel(g, 1, 3, [i[k] for k in (7, 1, 8, 0, 9, 2, 10)])) + actions = [ngc.Replace(a, 1), ngc.Replace(b, 2)] + zr = [i[k] for k in (11, 3, 12, 0, 13, 1, 14)] + black = no_edges(g, [i[3]]) + if z == "tunnel": + actions.append(ngc.Replace(w.pin(tunnel(g, 2, 3, zr), LY, black), 1)) + if z.startswith("DAG route"): + routes = [ngc.RouteDefinition(2, dag_of(g, zr))] + if z == "DAG route and tunnel": + routes.append(ngc.RouteDefinition(2, ngc.Path(g, [[i[15]]]))) + program = ngc.ForwardingProgram.from_routes(g, [2], [3], routes) + offer = 2 if z == "DAG route and tunnel" else 1 + actions.append(ngc.Replace(w.pin(program, LY, black), offer)) + assert refused(w, actions, SIMULTANEOUS) == PERIOD_TWO, z + + def test_maximal_offers_share_a_link(): # Link sums beyond 2^63 and 2^64. for n, cap, want in ( diff --git a/tests/py/test_contract_examples.py b/tests/py/test_contract_examples.py index 9698124..98987be 100644 --- a/tests/py/test_contract_examples.py +++ b/tests/py/test_contract_examples.py @@ -16,6 +16,7 @@ import copy import itertools import math +import random from decimal import Decimal from fractions import Fraction @@ -1495,74 +1496,164 @@ def resolution(q): # -- several demands at once (apply_actions) --------------------------------------------------- -def several_demands_layout(cap, routes): - """The list layout of routes given as link indices: each route is its own demand from its own - head (node i) to one destination (node n); each example link gets its own two nodes, joined to - the next link of a route by a link that never limits anything, except where every occurrence - of e continues on f and every occurrence of f comes from e: there e's head is f's tail (no - join), so the examples' serial pairs stay pairs. Returns the graph, per example link its - EdgeId and per route its path of EdgeIds.""" +def fused_links(offers, routes, cap, dark=None): + """Per example link the link it is fused to (-1: none): every occurrence of e that can carry + something continues on f and every such occurrence of f comes from e. A zero offer carries + nothing, and a route's traffic stops at its own black hole (which still arrives from the link + before it). A pair that would make a route visit a node twice (a dead occurrence on e going + elsewhere and one on f) is joined instead: a tunnel is a simple path.""" + dark = dark or [()] * len(routes) nxt = [set() for _ in cap] prv = [set() for _ in cap] - for r in routes: + for r, o, holes in zip(routes, offers, dark, strict=True): + if not o: + continue for j, e in enumerate(r): - nxt[e].add(r[j + 1] if j + 1 < len(r) else -1) prv[e].add(r[j - 1] if j > 0 else -1) + if e in holes: + break + nxt[e].add(r[j + 1] if j + 1 < len(r) else -1) + out = [-1] * len(cap) + for e, s in enumerate(nxt): + f = next(iter(s)) if len(s) == 1 else -1 + if f >= 0 and prv[f] == {e}: + out[e] = f + L = len(cap) + changed = True + while changed: + changed = False + for r in routes: + # Its nodes: a tail is e, a head L + e (a fused head is the next link's tail). + nodes = [r[0]] + for j, e in enumerate(r): + nodes.append(out[e] if out[e] >= 0 else L + e) + if j + 1 < len(r) and out[e] != r[j + 1]: + nodes.append(r[j + 1]) + if len(set(nodes)) == len(nodes): + continue + for j, e in enumerate(r): + if out[e] >= 0 and (j + 1 == len(r) or out[e] != r[j + 1]): + out[e] = -1 # e without its f + if j == 0 or out[r[j - 1]] != e: + out = [-1 if g == e else g for g in out] # f without its e + changed = True + return out - def fused(e, f): - return nxt[e] == {f} and prv[f] == {e} +# How run_list_lossy realizes a route (as list_lossy in contract_examples_tests.cpp): a tunnel; the +# same links as a supplied DAG route alone (a pooled context); that DAG route beside a tunnel on its +# head's own exit (a split route of a program that is not pooled), offered twice the route's offer; +# a DAG route of the route's links plus that exit beside the exit tunnel, offered 2, so round robin +# sends the DAG route's unit to the exit and every member on the route has a whole-unit share of 0; +# a tunnel or a DAG route in route 0's program, of weight its offer (0: an empty entry; no +# participant of its own), route 0 then offered `offer0` (default: its program's weights' sum). +TUNNEL, DAG_ROUTE, DAG_BESIDE_EXIT, ZERO_BRANCH, ENTRY_TUNNEL, ENTRY_DAG = range(6) +DEAD_FORMS = (TUNNEL, DAG_ROUTE, DAG_BESIDE_EXIT) + + +def several_demands_layout(cap, routes, fusing, forms): + """The list layout of routes given as link indices: each route is its own demand from its own + head (node i; an empty entry's from route 0's head) to one destination (node n); each example + link gets its own two nodes, joined to the next link of a route by a link that never limits + anything, except where e is fused to f (fused_links): there e's head is f's tail (no join), so + the examples' serial pairs stay pairs; a route beside an exit has a link of its own from its + head to the destination. Returns the graph, per example link its EdgeId, per route its path of + EdgeIds and its exit's EdgeId (or None).""" n = len(routes) tail = [n + 1 + e for e in range(len(cap))] node = n + 1 + len(cap) head = [] for e in range(len(cap)): - f = next(iter(nxt[e])) if len(nxt[e]) == 1 else -1 - if f >= 0 and fused(e, f): - head.append(tail[f]) + if fusing[e] >= 0: + head.append(tail[fusing[e]]) else: head.append(node) node += 1 rows = [(tail[e], head[e], c, 1) for e, c in enumerate(cap)] - positions = [] - for i, r in enumerate(routes): + positions, exits = [], [] + for i, (r, form) in enumerate(zip(routes, forms, strict=True)): path = [len(rows)] - rows.append((i, tail[r[0]], WIDE, 1)) + rows.append( + (0 if form in (ENTRY_TUNNEL, ENTRY_DAG) else i, tail[r[0]], WIDE, 1) + ) for j, e in enumerate(r): path.append(e) - if j + 1 < len(r) and not fused(e, r[j + 1]): + if j + 1 < len(r) and fusing[e] != r[j + 1]: path.append(len(rows)) rows.append((head[e], tail[r[j + 1]], WIDE, 1)) path.append(len(rows)) rows.append((head[r[-1]], n, WIDE, 1)) positions.append(path) + exits.append(None) + if form in (DAG_BESIDE_EXIT, ZERO_BRANCH): + exits[-1] = len(rows) + rows.append((i, n, WIDE, 1)) g = ngc.Graph(node, *([row[k] for row in rows] for k in range(4)), 1.0) ids = [0] * len(rows) for e, position in enumerate(g.input_positions().tolist()): ids[position] = e - return g, ids, [[ids[k] for k in path] for path in positions] + paths = [[ids[k] for k in path] for path in positions] + return g, ids, paths, [None if x is None else ids[x] for x in exits] -def run_list_lossy(offers, routes, cap): - """Each route its own demand: a Pinned LOSSY policy over one tunnel, created in route order, - all replaced in one SIMULTANEOUS list. Per demand its arrivals, carried and drops on each link - of its route (from its records), its delivery, and per example link the total carried.""" - g, ids, paths = several_demands_layout(cap, routes) +def run_list_lossy( + offers, routes, cap, dark=None, fusing=None, forms=None, offer0=None +): + """Each route its own demand (`forms`: how each route is realized, default TUNNEL): a Pinned + LOSSY policy, created in route order, all replaced in one SIMULTANEOUS list; dark[i]: the + example links route i's demand black-holes. Per demand its arrivals, carried and drops on each + link of its route (from its records), its delivery (a route beside an exit: without the exit's + units), and per example link the total carried.""" + dark = dark or [()] * len(routes) + forms = forms or [TUNNEL] * len(routes) + if fusing is None: + fusing = fused_links(offers, routes, cap, dark) + g, ids, paths, exits = several_demands_layout(cap, routes, fusing, forms) n = len(routes) ledger = ngc.FlowLedger(g) - policies = [] - for i, path in enumerate(paths): - program = ngc.ForwardingProgram.from_routes( - g, [i], [n], [ngc.RouteDefinition(i, path_of(g, path))] + policies, actions, owned, exit_units = [], [], [], [] + entries = [ + ngc.RouteDefinition( + 0, + path_of(g, path) if form == ENTRY_TUNNEL else dag_of(g, path), + weight=o, ) - policies.append(pinned(g, program, LY, ledger=ledger)) - actions = [ngc.Replace(p, o) for p, o in zip(policies, offers, strict=True)] + for path, form, o in zip(paths, forms, offers, strict=True) + if form in (ENTRY_TUNNEL, ENTRY_DAG) + ] + for i, (path, holes, form) in enumerate(zip(paths, dark, forms, strict=True)): + if form in (ENTRY_TUNNEL, ENTRY_DAG): + continue + offer, units = offers[i], 0 + if form == TUNNEL: + weight = offers[0] if i == 0 else 1 + defs = [ngc.RouteDefinition(i, path_of(g, path), weight=weight)] + elif form == DAG_ROUTE: + defs = [ngc.RouteDefinition(i, dag_of(g, path))] + else: + members = path + ([exits[i]] if form == ZERO_BRANCH else []) + defs = [ + ngc.RouteDefinition(i, dag_of(g, members)), + ngc.RouteDefinition(i, path_of(g, [exits[i]])), + ] + offer = 2 if form == ZERO_BRANCH else 2 * offers[i] + units = offer - offers[i] if form == DAG_BESIDE_EXIT else 2 + if i == 0: + defs += entries + total = offer + sum(e.weight for e in entries) + offer = total if offer0 is None else offer0 + program = ngc.ForwardingProgram.from_routes(g, [i], [n], defs) + black = edge_mask(g, [ids[e] for e in holes]) + policies.append(pinned(g, program, LY, black_holes=black, ledger=ledger)) + actions.append(ngc.Replace(policies[-1], offer)) + owned.append(routes[i]) + exit_units.append(units) try: results = ngc.apply_actions(ledger, actions, mode=ngc.BatchMode.SIMULTANEOUS) except ValueError as e: return dict(error=str(e)) arrivals, carried, edge_drops = [], [], [] - for p, route in zip(policies, routes, strict=True): + for p, route in zip(policies, owned, strict=True): flows, drops = {}, {} for rec in p.records(): for e, x in rec.edge_flows: @@ -1579,7 +1670,9 @@ def run_list_lossy(offers, routes, cap): arrivals=arrivals, carried=carried, edge_drops=edge_drops, - delivered=[r.call_delivered for r in results], + delivered=[ + r.call_delivered - u for r, u in zip(results, exit_units, strict=True) + ], edge_flows=[total[ids[e]] for e in range(len(cap))], ) @@ -1804,6 +1897,68 @@ def run_c3(offers, routes, cap): return dict(feasible_work_conserving_records=records, local_H_solutions=solutions) +def run_dead_demand(seed, trials, form=TUNNEL): + """One added dead demand Z changes nothing. Small random inputs of simple-path demands (3 to 5 + links of free capacity 1 to 3, two to four demands of offer 1 to 4 over 2 to 4 distinct links + each), drawn as the contract draws them; Z has a zero offer over 1 to 3 of those links, or an + offer of 1 to 3 whose route reaches its own black hole (link k, a link of Z's own, inserted into + its route, or one of its shared links) and continues behind it. The outcome with Z equals the + outcome with Z's dead occurrences removed (without Z for a zero offer, Z's route cut after its + black hole otherwise): every arrival, carried amount, drop and delivery of the others and of + Z's prefix, every link flow, or the error; Z's dead occurrences show 0. `form`: how Z is + realized (run_list_lossy). Both runs of a trial share one layout (fused_links of the input + with Z).""" + rng = random.Random(seed) + kinds = {"zero": 0, "tail": 0} + agree = errors = 0 + + def view(rec, n, cut): + if "error" in rec: + return rec["error"] + rows = [ + rec[key][:n] + ([rec[key][n][:cut]] if cut else []) + for key in ("arrivals", "carried", "edge_drops") + ] + tail = [ + x + for key in ("arrivals", "carried") + if len(rec[key]) > n + for x in rec[key][n][cut:] + ] + return rows, rec["delivered"][:n], rec["edge_flows"], not any(tail) + + for _ in range(trials): + k = rng.randint(3, 5) + cap = [rng.randint(1, 3) for _ in range(k)] + [9] + n = rng.randint(2, 4) + routes = [rng.sample(range(k), rng.randint(2, min(4, k))) for _ in range(n)] + offers = [rng.randint(1, 4) for _ in range(n)] + links = rng.sample(range(k), rng.randint(1, min(3, k))) + if rng.random() < 0.5: + kind, z, zr, hole = "zero", 0, links, None + else: + kind, z, p = "tail", rng.randint(1, 3), rng.randrange(len(links)) + if rng.random() < 0.5: + zr, hole = links[:p] + [k] + links[p:], k + else: + zr, hole = links, links[p] + kinds[kind] += 1 + dark = [()] * n + [() if hole is None else (hole,)] + fusing = fused_links(offers + [z], routes + [zr], cap, dark) + forms = [TUNNEL] * n + [form] + full = run_list_lossy(offers + [z], routes + [zr], cap, dark, fusing, forms) + if kind == "zero": + cut, short = 0, run_list_lossy(offers, routes, cap, None, fusing) + else: + cut = zr.index(hole) + 1 + short = run_list_lossy( + offers + [z], routes + [zr[:cut]], cap, dark, fusing, forms + ) + agree += view(full, n, cut) == view(short, n, cut) + errors += "error" in full + return dict(trials=trials, agree=agree, kinds=kinds, errors=errors) + + # The examples of several demands at once that share an oracle with a single program's: each # route (or head) is its own demand, all in one SIMULTANEOUS list. SEVERAL_DEMANDS = { @@ -1813,6 +1968,10 @@ def run_c3(offers, routes, cap): "D-cycle-prefix-suffix": run_list_lossy, "D-cycle-subdivision-before": run_list_lossy, "D-cycle-subdivision-after": run_list_lossy, + "D-dead-tail": run_list_lossy, + "D-dead-waits": run_list_lossy, + "D-zero-share-pair": run_list_lossy, + "D-dead-subdivision": run_list_lossy, "STALE-cycle-period-2": run_stale_list, "STALE-cycle-round-limit-baseline": run_stale_list, "STALE-cycle-round-limit": run_stale_list, @@ -1860,6 +2019,7 @@ def run_c3(offers, routes, cap): "list_validation": run_list_validation, "forwarding_size": run_forwarding_size, "c3": run_c3, + "dead_demand": run_dead_demand, "number_types": run_number_types, } @@ -5656,6 +5816,77 @@ def run_c3(offers, routes, cap): "edge_flows": [2, 3, 2, 2], }, }, + { + "id": "D-dead-tail", + "oracle": "lossy", + "input": { + "offers": [1, 2, 1], + "routes": [[2, 0], [1, 0, 2], [3, 0, 1]], + "cap": [2, 2, 1, 9], + "dark": [[], [], [3]], + }, + "expected": { + "error": "lossy forwarding iteration entered a period-2 cycle", + "rounds": 3, + }, + }, + { + "id": "D-dead-waits", + "oracle": "lossy", + "input": { + "offers": [1, 3, 3], + "routes": [[2, 0], [1, 0, 2], [3, 0, 1]], + "cap": [2, 2, 1, 9], + "dark": [[], [], [3]], + }, + "expected": { + "error": "lossy forwarding iteration entered a period-2 cycle", + "rounds": 3, + }, + }, + { + "id": "D-zero-share-pair", + "oracle": "lossy", + "input": { + "offers": [2, 1, 4, 0], + "routes": [[1, 0, 2, 3], [2, 3, 0], [2, 3, 0, 1], [2]], + "cap": [2, 4, 2, 2], + }, + "expected": { + "arrivals": [[2, 2, 1, 0], [1, 0, 0], [4, 2, 2, 1], [0]], + "carried": [[2, 1, 0, 0], [0, 0, 0], [2, 2, 1, 1], [0]], + "delivered": [0, 0, 1, 0], + "edge_flows": [2, 3, 2, 2], + }, + }, + { + "id": "D-dead-subdivision", + "oracle": "lossy", + "input": { + "offers": [2, 1, 4, 1], + "routes": [[1, 0, 2, 3], [2, 3, 0], [2, 3, 0, 1], [2, 3]], + "cap": [2, 4, 2, 2], + "dark": [[], [], [], [2]], + }, + "expected": { + "arrivals": [[2, 2, 1, 0], [1, 0, 0], [4, 2, 2, 1], [1, 0]], + "carried": [[2, 1, 0, 0], [0, 0, 0], [2, 2, 1, 1], [0, 0]], + "edge_drops": [[0, 1, 1, 0], [1, 0, 0], [2, 0, 1, 0], [1, 0]], + "delivered": [0, 0, 1, 0], + "edge_flows": [2, 3, 2, 2], + }, + }, + { + "id": "D-dead-demand-property", + "oracle": "dead_demand", + "input": {"seed": 4, "trials": 2000}, + "expected": { + "trials": 2000, + "agree": 2000, + "kinds": {"zero": 993, "tail": 1007}, + "errors": 55, + }, + }, { "id": "D-no-H-fixed-point", "oracle": "c3", @@ -6288,6 +6519,12 @@ def run_c3(offers, routes, cap): "STALE-cycle-period-2": { "rounds": "the error names the period-2 cycle, not the round it was found in" }, + "D-dead-tail": { + "rounds": "the error names the period-2 cycle, not the round it was found in" + }, + "D-dead-waits": { + "rounds": "the error names the period-2 cycle, not the round it was found in" + }, "R4-refusal": { "requeue": "the rejected rule (a refused unit offered again), which the library never applies", }, @@ -6382,6 +6619,136 @@ def refuses_outside_the_domain(n, weights): pinned(g, program, LY).place(n) +PERIOD_TWO = "lossy forwarding iteration entered a period-2 cycle" + + +def same_without(with_, without, n, where): + """The other participants' outcome with and without a dead element: the error, or the first n + participants' rows and deliveries and every link flow (the structure is the C++ suite's: the + Python API reports no wait or group).""" + assert with_.get("error") == without.get("error"), where + if "error" in with_: + return + for key in ("arrivals", "carried", "edge_drops", "delivered"): + assert with_[key][:n] == without[key][:n], (where, key) + assert with_["edge_flows"] == without["edge_flows"], where + + +def test_dead_occurrences_change_no_other_output(): + # D-dead-tail, D-dead-waits, D-zero-share-pair, D-dead-subdivision and a dead load that would + # make a barrier (A: links 1, 0; B: 0, 2, 1; Z: 3, 2 behind its own black hole on link 3), with + # Z a tunnel, a DAG route alone or a DAG route beside an exit (D-zero-share-pair also as a zero + # branch): equal to the list with Z cut after its black hole, or without a zero-offer Z. + tail_routes = [[2, 0], [1, 0, 2], [3, 0, 1]] + tail_cut = [[2, 0], [1, 0, 2], [3]] + for offers in ([1, 2, 1], [1, 3, 3]): + for form in DEAD_FORMS: + forms = [TUNNEL, TUNNEL, form] + args = ([2, 2, 1, 9], [[], [], [3]], None, forms) + got = run_list_lossy(offers, tail_routes, *args) + assert got == dict(error=PERIOD_TWO), (offers, form) + same_without(got, run_list_lossy(offers, tail_cut, *args), 2, form) + after = [[1, 0, 2, 3], [2, 3, 0], [2, 3, 0, 1]] + cap = [2, 4, 2, 2] + plain = run_list_lossy([2, 1, 4], after, cap) + for form in (*DEAD_FORMS, ZERO_BRANCH): + forms = [TUNNEL] * 3 + [form] + got = run_list_lossy([2, 1, 4, 0], [*after, [2]], cap, None, None, forms) + assert got["delivered"] == [0, 0, 1, 0], form + same_without(got, plain, 3, form) + for form in DEAD_FORMS: + forms = [TUNNEL] * 3 + [form] + dark = [[], [], [], [2]] + got = run_list_lossy([2, 1, 4, 1], [*after, [2, 3]], cap, dark, None, forms) + assert got["edge_drops"][3] == [1, 0], form + cut = run_list_lossy([2, 1, 4, 1], [*after, [2]], cap, dark, None, forms) + same_without(got, cut, 3, form) + for form in DEAD_FORMS: + forms = [TUNNEL, TUNNEL, form] + args = ([2, 1, 2, 9], [[], [], [3]], None, forms) + got = run_list_lossy([1, 2, 2], [[1, 0], [0, 2, 1], [3, 2]], *args) + assert got == dict(error=PERIOD_TWO), form + cut = run_list_lossy([1, 2, 2], [[1, 0], [0, 2, 1], [3]], *args) + same_without(got, cut, 2, form) + + +def test_empty_entries_change_nothing(): + # A tunnel or a DAG route of weight 0 in A's program of D-cycle-subdivision-after (over link 2 + # alone, or over links 2, 3, 0): it gets no share and is not forwarded. + after = [[1, 0, 2, 3], [2, 3, 0], [2, 3, 0, 1]] + cap = [2, 4, 2, 2] + plain = run_list_lossy([2, 1, 4], after, cap) + for form in (ENTRY_TUNNEL, ENTRY_DAG): + for extra in ([2], [2, 3, 0]): + forms = [TUNNEL] * 3 + [form] + got = run_list_lossy([2, 1, 4, 0], [*after, extra], cap, None, None, forms) + same_without(got, plain, 3, (form, extra)) + + +def test_scalar_serial_pair_with_a_zero_share_entry(): + # D-zero-share-pair's routes as the entries of one head's program on the list layout (links 2 + # and 3 joined directly), weights 2, 1, 4, 1 at offer 7: Z (link 2 alone) gets a share of 0 and, + # a tunnel or a DAG route, leaves the call's delivery 1, as without Z. + routes = [[1, 0, 2, 3], [2, 3, 0], [2, 3, 0, 1], [2]] + cap = [2, 4, 2, 2] + fusing = fused_links([2, 1, 4, 0], routes, cap) + forms = [TUNNEL, ENTRY_TUNNEL, ENTRY_TUNNEL] + without = run_list_lossy([2, 1, 4], routes[:3], cap, None, fusing, forms, 7) + assert without["delivered"] == [1] + for form in (ENTRY_TUNNEL, ENTRY_DAG): + got = run_list_lossy([2, 1, 4, 1], routes, cap, None, fusing, [*forms, form], 7) + same_without(got, without, 1, form) + + +def test_dead_demand_property_in_every_form(): + # D-dead-demand-property with Z a DAG route alone and a DAG route beside an exit. + for form in (DAG_ROUTE, DAG_BESIDE_EXIT): + assert run_dead_demand(4, 2000, form) == dict( + trials=2000, agree=2000, kinds={"zero": 993, "tail": 1007}, errors=55 + ), form + + +def test_dead_entries_in_a_scalar_call(): + # One call (one head, the routes its entries with weights = offers), Z a tunnel or a DAG route: + # D-dead-tail and D-dead-waits with the call's black hole on link 3 (only Z uses it) give the + # period-2 error, as with Z cut after link 3; D-crossing plus Z over its own black-holed link 2 + # then link 0 (weight 4, offer 20) gives the others what D-crossing gives them (offer 16); and + # D-dead-tail's routes with weights 1, 2, 1 at offer 3 (Z's share 0) give the error without Z. + def call(offers, routes, cap, dag, black=(), total=None): + g, links, paths = laid_out(cap, routes) + last = len(routes) - 1 + defs = [ + ngc.RouteDefinition( + 0, dag_of(g, p) if dag and i == last else path_of(g, p), weight=w + ) + for i, (p, w) in enumerate(zip(paths, offers, strict=True)) + ] + program = ngc.ForwardingProgram.from_routes(g, [0], [1], defs) + mask = edge_mask(g, [links[e] for e in black]) + offer = sum(offers) if total is None else total + try: + r = pinned(g, program, LY, black_holes=mask).place( + offer, ngc.OutputOptions(edge_flows=True) + ) + except ValueError as e: + return str(e) + flows = r.edge_flows.tolist() + delivered = [t.delivered for t in r.by_tunnel][:3] + return delivered, [flows[links[e]] for e in range(len(cap))] + + routes, cap = [[2, 0], [1, 0, 2], [3, 0, 1]], [2, 2, 1, 9] + for dag in (False, True): + for offers in ([1, 2, 1], [1, 3, 3]): + assert call(offers, routes, cap, dag, [3]) == PERIOD_TWO, (dag, offers) + assert call(offers, [*routes[:2], [3]], cap, dag, [3]) == PERIOD_TWO + crossing = ([[0, 1], [0], [1]], [9, 7, 9]) + with_z = call([8, 4, 4, 4], [*crossing[0], [2, 0]], crossing[1], dag, [2]) + assert with_z == call([8, 4, 4], *crossing, False), dag + assert with_z[0] == [4, 3, 3], dag + zero = call([1, 2, 1], routes, cap, dag, total=3) + assert zero == call([1, 2], routes[:2], cap, False, total=3) == PERIOD_TWO + + def check_outside_the_domain(example): assert mismatch(reference_ha(**example["input"]), example["expected"]) is None refuses_outside_the_domain(**example["input"]) @@ -6396,7 +6763,7 @@ def _param(example): def test_every_example_once(): ids = [e["id"] for e in EXAMPLES] - assert len(ids) == len(set(ids)) == 183 + assert len(ids) == len(set(ids)) == 188 assert {e["oracle"] for e in EXAMPLES} <= set(ADAPTERS) From eac5fd3b0316c779a47286a7dec64d010fa1de09 Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Wed, 21 Oct 2026 01:18:48 +0100 Subject: [PATCH 23/39] Concurrency: the GIL released, one gate per ledger Every operation now converts and checks its arguments with Python's lock held, then releases it for native work: at most one cache lease, then the ledger's single gate, checks of mutable state, private computation and a publication that cannot fail. Calls on one ledger appear one at a time and different ledgers run in parallel; reads of immutable values take no lock. Cache freeze, thaw and clear are served in arrival order, so they are never starved. The free-threaded build relies on the gate and the leases alone. A call with a bad argument and a wrong state now reports the argument's error first. The frozen-cache clear message no longer asks callers to join readers. Co-Authored-By: Claude Opus 5.5 --- CHANGELOG.md | 28 +- CMakeLists.txt | 3 + README.md | 10 +- bindings/python/apply_actions.cpp | 29 +- bindings/python/concurrency_hooks.cpp | 198 ++++ bindings/python/eligibility.cpp | 4 +- bindings/python/evaluators.cpp | 106 +- bindings/python/flow_ledger.cpp | 63 +- bindings/python/flow_policy.cpp | 191 ++- bindings/python/flow_solver_hook.cpp | 10 +- bindings/python/forwarding_program.cpp | 9 +- bindings/python/graph.cpp | 8 +- bindings/python/hooks.cpp | 24 + bindings/python/native_call.hpp | 32 + bindings/python/path.cpp | 7 +- bindings/python/path_enumeration.cpp | 14 +- bindings/python/policy_value.hpp | 23 + bindings/python/predecessor_dag.cpp | 11 +- bindings/python/registration.hpp | 1 + bindings/python/search.cpp | 20 +- bindings/python/shortest_path_cache.cpp | 13 +- bindings/python/units.cpp | 39 +- dev/cpp-tests.sh | 15 + dev/perf/README.md | 13 +- dev/perf/aba_api.hpp | 97 ++ dev/perf/aba_rows.hpp | 28 + dev/perf/test_tool.py | 19 +- dev/pytest_guard.py | 122 +- dev/run-checks.sh | 3 +- dev/stubs/generate.py | 14 + dev/stubs/overrides.pyi | 2 +- dev/stubs/test_generate.py | 19 + dev/test_pytest_guard.py | 34 + docs/semantics.md | 74 +- include/netgraph/core/detail/cache_access.hpp | 18 +- include/netgraph/core/detail/cache_gate.hpp | 108 ++ include/netgraph/core/detail/concurrency.hpp | 52 + .../core/detail/concurrency_models.hpp | 129 ++ .../netgraph/core/detail/evaluator_checks.hpp | 30 +- .../netgraph/core/detail/ledger_access.hpp | 11 + .../netgraph/core/detail/policy_engine.hpp | 38 +- .../netgraph/core/detail/private_hooks.hpp | 11 +- include/netgraph/core/detail/program_data.hpp | 11 + .../netgraph/core/detail/route_builders.hpp | 8 + .../netgraph/core/detail/unit_conversion.hpp | 25 + include/netgraph/core/evaluators.hpp | 12 +- include/netgraph/core/flow_ledger.hpp | 9 +- include/netgraph/core/flow_policy.hpp | 34 +- include/netgraph/core/shortest_path_cache.hpp | 18 +- python/netgraph_core/__init__.pyi | 33 +- src/concurrency.cpp | 15 + src/evaluators.cpp | 172 ++- src/flow_ledger.cpp | 45 +- src/flow_policy.cpp | 297 +++-- src/forwarding_program.cpp | 78 +- src/graph.cpp | 15 +- src/route_kernels.cpp | 2 + src/route_structures.cpp | 30 +- src/shortest_path_cache.cpp | 50 +- tests/cpp/concurrency_tests.cpp | 709 +++++++++++ tests/cpp/contract_examples_tests.cpp | 129 +- tests/cpp/flow_ledger_tests.cpp | 4 +- tests/cpp/flow_policy_fault_tests.cpp | 210 +++- tests/cpp/flow_policy_tests.cpp | 3 +- tests/cpp/program_tests.cpp | 53 +- tests/cpp/shortest_path_cache_tests.cpp | 2 +- tests/py/concurrency_support.py | 113 ++ tests/py/helpers.py | 11 +- tests/py/removed_names_reviewed.txt | 1 - tests/py/test_concurrency.py | 1044 +++++++++++++++++ tests/py/test_concurrency_public.py | 187 +++ tests/py/test_contract_examples.py | 655 ++++++++++- tests/py/test_evaluators.py | 143 +++ tests/py/test_flow_policy.py | 69 +- tests/py/test_flow_policy_fixtures.py | 2 +- tests/py/test_getter_allocation.py | 63 + tests/py/test_native_allocation.py | 33 + tests/py/test_programs.py | 3 +- tests/py/test_public_surface.py | 6 +- tests/py/test_shortest_path_cache.py | 29 +- tests/py/test_units.py | 21 + tests/typing/invalid_client.py | 4 + 82 files changed, 5451 insertions(+), 577 deletions(-) create mode 100644 bindings/python/concurrency_hooks.cpp create mode 100644 bindings/python/native_call.hpp create mode 100644 bindings/python/policy_value.hpp create mode 100644 include/netgraph/core/detail/cache_gate.hpp create mode 100644 include/netgraph/core/detail/concurrency.hpp create mode 100644 include/netgraph/core/detail/concurrency_models.hpp create mode 100644 include/netgraph/core/detail/unit_conversion.hpp create mode 100644 src/concurrency.cpp create mode 100644 tests/cpp/concurrency_tests.cpp create mode 100644 tests/py/concurrency_support.py create mode 100644 tests/py/test_concurrency.py create mode 100644 tests/py/test_concurrency_public.py diff --git a/CHANGELOG.md b/CHANGELOG.md index 4669c8a..d218da8 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -16,8 +16,8 @@ API. - **Several demands at once**: `apply_actions(ledger, actions, *, mode=BatchMode.ORDERED, outputs=None)` runs `Place(policy, offer)`, `Replace(policy, offer, *, design_demand=None)` and `Forward(policy, offer, *, black_holes=None)` actions of several policies of one ledger as one - transaction: validated whole (the argument types, then each action in list order: ownership, a - policy at most once, the mode's rules, the scalar call's checks), then computed, then published + transaction: validated whole in two passes (arguments and immutable objects for every action, + then mutable state under the ledger gate, each pass in list order), then computed, then published once, with one `PlacementResult` per action in input order. The actions are immutable values that keep their policy and black holes alive and their offers as given. `BatchMode.ORDERED` runs each action as its scalar call on the state the earlier ones left (earlier actions are served @@ -36,6 +36,28 @@ API. ### Changed +- **Concurrency**: native work releases the GIL. One gate per ledger protects reads and whole + scalar/list publications; independent ledgers run in parallel. Policy construction and evaluators + take one optional building-exclusive or frozen-shared cache lease, with FIFO lifecycle admission; + workers borrow that lease. Native first-pass checks release the GIL before any lease or gate: + the tunnel-limit roster search in policy construction and the evaluators (once per pair in a + batch), and `from_routes`' walk of each supplied PredecessorDAG. `evaluate_pairs`' workers and + the other evaluators' main evaluation reuse the checked rosters; each deletion of + `evaluate_edge_failures` searches under its own mask. Immutable reads remain lock-free. cp314t detaches thread state + before native waits. Publishing calls prepare Python results before native work; reads wrap + owned snapshots after unlocking. `FlowPolicy` is final in Python, and failed construction + leaves an unconstructed object that raises a clean `TypeError`. +- **Validation order**: argument and immutable checks run first, then mutable-state checks under + the ledger gate or cache lease. Invalid offers, black holes and later list actions now precede + missing-program/epoch errors; evaluator argument errors precede the building-cache worker rule. + With a frozen empty cache, an invalid offer now precedes a cache miss in all three evaluators, + and no miss is counted. +- **Cache clear**: its frozen-cache refusal now says to thaw it, then clear it; thaw waits for readers itself. +- **C++ signatures**: `FlowPolicy::program()`, `ShortestPathCache::freeze()` and `thaw()` can fail + while acquiring a native lock and are no longer `noexcept`. Policy destruction remains + `noexcept` and allocates nothing. A moved-from ledger retains its immutable graph owner so + existing graph references remain valid; its public calls still reject the unusable ledger. + - **Graph**: `Graph(num_nodes, edge_sources, edge_destinations, edge_capacity_units, edge_costs, resolution)` (replacing 0.11's `StrictMultiDiGraph`) is the one constructor: capacities are `int64` units of an explicit resolution (a power of two in `[2^-32, 2^32]`), costs are positive @@ -217,7 +239,7 @@ API. - **Frozen mode:** `freeze()` makes the cache read-only and shareable by every worker of an evaluator. A frozen lookup miss raises `ShortestPathCacheMiss`, an exception the evaluators pass on unchanged. `clear()` raises when frozen, and `thaw()` returns to building mode after - the caller has joined every reader. + waiting for active calls. Lifecycle admission is FIFO, with no overtaking by later readers. - **Evaluators**: one options type, `EvaluationOptions(config, *, eligibility=None, cache=None, outputs=None, design_demand=None, offer=None)`, the design and the offer kept as given and checked by the evaluator; `evaluate_demand(graph, sources, destinations, options)` (with diff --git a/CMakeLists.txt b/CMakeLists.txt index cc58a4c..ba84ea8 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -66,6 +66,7 @@ endif() # ============================================================================= add_library(netgraph_core STATIC + src/concurrency.cpp src/graph.cpp src/eligibility.cpp src/min_cost_flow.cpp @@ -113,6 +114,7 @@ pybind11_add_module(_netgraph_core bindings/python/path_enumeration.cpp bindings/python/search.cpp bindings/python/hooks.cpp + bindings/python/concurrency_hooks.cpp ) # The library's PUBLIC usage requirements (C++20, the hooks flag, the libc++ settings below) reach # the extension through this link. @@ -148,6 +150,7 @@ if(NETGRAPH_CORE_BUILD_TESTS) tests/cpp/graph_tests.cpp tests/cpp/graph_layout_tests.cpp tests/cpp/graph_concurrency_tests.cpp + tests/cpp/concurrency_tests.cpp tests/cpp/min_cost_flow_tests.cpp tests/cpp/min_cost_flow_deletion_tests.cpp tests/cpp/eligibility_tests.cpp diff --git a/README.md b/README.md index 55a6145..dfe58e3 100644 --- a/README.md +++ b/README.md @@ -173,6 +173,11 @@ specified in [docs/semantics.md](docs/semantics.md). unchanged, except that a call raising `ShortestPathCacheMiss` counts one miss ([docs/semantics.md](docs/semantics.md#8-failures-threads-and-lifetimes)). +Native computation releases the GIL. Calls on one ledger serialize through one native gate; +different ledgers run in parallel. Immutable readers take no gate. Building caches take exclusive +leases, frozen caches shared leases, and lifecycle calls wait for active calls without starvation. +The free-threaded Python build uses the same gates and leases and detaches thread state before waiting. + ### Search `spf(graph, roots, SpfOptions(direction, *, targets=None, tie_break=FEWER_HOPS, multipath=True, @@ -207,11 +212,12 @@ lists a DAG's walks as `Path` values. not traffic) that policies build, keyed by the root set, the direction and the Eligibility. Values are immutable and shared, and `stats()` reports hits, misses, entries, retained bytes and live values. -- **Building mode (new caches):** one writer; a miss searches and inserts. An evaluator given a +- **Building mode (new caches):** one exclusive lease per call; a miss searches and inserts. An evaluator given a building cache runs on one worker (an explicit `workers` above 1 is rejected). - **Frozen mode (`freeze()`):** read-only and shared by every worker of an evaluator (pass `workers` explicitly; with a cache the default is 1); a miss raises `ShortestPathCacheMiss`. - `thaw()` returns to building mode once every reader has finished. + `thaw()` waits for active calls, then returns to building mode; lifecycle calls cannot be + overtaken by later readers or builders. ### Evaluators diff --git a/bindings/python/apply_actions.cpp b/bindings/python/apply_actions.cpp index 057c866..2d5ebc5 100644 --- a/bindings/python/apply_actions.cpp +++ b/bindings/python/apply_actions.cpp @@ -14,6 +14,9 @@ #include "netgraph/core/flow_policy.hpp" #include "integers.hpp" #include "publication.hpp" +#include "native_call.hpp" +#include "policy_value.hpp" +#include "netgraph/core/detail/policy_engine.hpp" #include "values.hpp" #include "registration.hpp" @@ -43,7 +46,9 @@ struct PyForward { std::string type_name(const py::handle& obj) { return std::string(py::str(py::type::of(obj).attr("__name__"))); } py::object policy_arg(const py::object& policy) { - if (!py::isinstance(policy)) throw py::type_error("policy must be a FlowPolicy (got " + type_name(policy) + ")"); + const auto* type = py::detail::get_type_info(typeid(FlowPolicy), true); + if (PyObject_TypeCheck(policy.ptr(), type->type) == 0) throw py::type_error("policy must be a FlowPolicy (got " + type_name(policy) + ")"); + (void)policy_value(policy); return policy; } @@ -62,7 +67,7 @@ py::object black_holes_arg(const py::object& black_holes) { // own check raises the offer text in its place. std::optional offer_at_use(const py::object& offer) { return *units_at_use(offer); } -FlowPolicy& policy_at_use(const py::object& policy) { return policy.cast(); } +FlowPolicy& policy_at_use(const py::object& policy) { return policy_value(policy); } // The native action of entry i, or the type error of an entry that is not an action. Action action_of(const py::handle& item, std::size_t i) { @@ -155,9 +160,9 @@ void register_apply_actions(py::module_& m) { if (!py::isinstance(mode)) throw py::type_error("mode must be a BatchMode (got " + type_name(mode) + ")"); const auto batch_mode = mode.cast(); const auto o = outputs_of(outputs); - // All or nothing across the boundary: the list and its n result objects exist before the - // call, and after the commit nothing allocates (each value moves into its object). The GIL - // stays held: the call mutates the ledger (one writer per ledger). + auto& target = ledger.cast(); + detail::check_list_arguments(target, native, batch_mode, o); + // The list and every result holder exist before the native transaction. auto out = py::reinterpret_steal>(checked(PyList_New(count)).release()); std::vector slots(n); for (std::size_t i = 0; i < n; ++i) { @@ -165,8 +170,10 @@ void register_apply_actions(py::module_& m) { slots[i] = slot; PyList_SET_ITEM(out.ptr(), static_cast(i), obj.release().ptr()); } - auto results = apply_actions(ledger.cast(), native, batch_mode, o); - for (std::size_t i = 0; i < n; ++i) *slots[i] = std::move(results[i]); + native_call([&] { + auto results = apply_actions(target, native, batch_mode, o); + for (std::size_t i = 0; i < n; ++i) *slots[i] = std::move(results[i]); + }); return out; }, py::arg("ledger"), py::arg("actions"), py::kw_only(), py::arg_v("mode", BatchMode::Ordered, "BatchMode.ORDERED"), @@ -192,12 +199,14 @@ void register_apply_actions(py::module_& m) { "Checked in this order: the arguments' types (TypeError: `ledger must be a FlowLedger`, `actions must\n" "be a sequence of Place, Replace or Forward (got )`, `actions[] must be a Place, Replace or\n" "Forward (got )`, `mode must be a BatchMode (got )`, `outputs must be an OutputOptions\n" - "(got )`); mode's value (`mode: is not a value of BatchMode`); an empty list returns [];\n" - "then each action in list order, all of its checks before the next action's: `list policy belongs\n" + "(got )`); mode's value (`mode: is not a value of BatchMode`); then each action's\n" + "argument/immutable checks in list order: `list policy belongs\n" "to another ledger`, `duplicate policy in list`, SIMULTANEOUS's own rules (`SIMULTANEOUS does not\n" "accept Place`, `SIMULTANEOUS Replace requires ShortestPaths EQUAL or WEIGHTED, or Pinned`,\n" "`SIMULTANEOUS requires admission=LOSSY`, `SIMULTANEOUS requires finite offers`), then the scalar\n" - "call's checks in its order. Only then is anything computed; an error of the computation (a\n" + "call's argument checks. Ledger usability and every action's mutable state are then checked under\n" + "the gate, in list order, before any computation. An empty list checks usability and mode, then\n" + "returns []. An error of the computation (a\n" "loss-iteration error, a solver or forwarding size limit, the record identity limit counted for the\n" "whole list) publishes nothing."); } diff --git a/bindings/python/concurrency_hooks.cpp b/bindings/python/concurrency_hooks.cpp new file mode 100644 index 0000000..113064f --- /dev/null +++ b/bindings/python/concurrency_hooks.cpp @@ -0,0 +1,198 @@ +// Native rendezvous controls for progress/atomicity tests. Python is called only +// by run(), outside every native lock; the probes themselves touch native state. +#include "registration.hpp" +#if NETGRAPH_CORE_PRIVATE_HOOKS +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/concurrency.hpp" +#include "netgraph/core/detail/concurrency_models.hpp" +#include "netgraph/core/flow_policy.hpp" +#include "netgraph/core/flow_ledger.hpp" +#include "netgraph/core/shortest_path_cache.hpp" +#include "native_call.hpp" +#include "values.hpp" + +namespace py = pybind11; +namespace netgraph::core::bindings { +namespace { +using Stage = detail::ConcurrentStage; +constexpr std::array(Stage::Count)> names { + "ledger_wait", "ledger_acquired", "cache_queued", "cache_acquired", + "before_publication", "after_exchange", "native_complete", "worker_begin", "thread_launch", "native_begin", + "cache_tally_complete", "policy_engine_installed", "tunnel_roster_search", "route_definition_check", "route_walk", "argument_begin" +}; +Stage stage_of(const std::string& name) { + for (std::size_t i = 0; i < names.size(); ++i) if (name == names[i]) return static_cast(i); + throw py::value_error("unknown native probe stage: " + name); +} +struct NativeProbe { + std::mutex mutex; + std::condition_variable changed; + std::array counts {}; + std::optional pause, fail; + std::vector failing_workers; + bool reverse_failures {false}; + bool later_failed {false}; + bool released {false}; + int auto_release_ms {0}; + detail::ConcurrentProbe probe {notify, this}; + + NativeProbe(const std::string& paused, const std::string& failed, std::vector workers, bool reverse, + int automatic) + : failing_workers(std::move(workers)), reverse_failures(reverse), auto_release_ms(automatic) { + if (automatic < 0 || automatic > 10000) throw py::value_error("auto_release_ms must be in [0, 10000]"); + if (!paused.empty()) pause = stage_of(paused); + if (!failed.empty()) fail = stage_of(failed); + } + static void notify(void* context, Stage stage, const void* object) { + auto& self = *static_cast(context); + std::unique_lock lock(self.mutex); + ++self.counts[static_cast(stage)]; + self.changed.notify_all(); + if (stage == Stage::WorkerBegin && !self.failing_workers.empty()) { + const auto index = *static_cast(object); + if (std::find(self.failing_workers.begin(), self.failing_workers.end(), index) != self.failing_workers.end()) { + if (self.reverse_failures && index == self.failing_workers.front()) { + if (!self.changed.wait_for(lock, std::chrono::seconds(10), [&] { return self.later_failed; })) { + throw std::runtime_error("worker rendezvous timed out"); + } + } else { + self.later_failed = true; + self.changed.notify_all(); + } + throw std::runtime_error("injected worker failure " + std::to_string(index)); + } + } + if (self.pause == stage && !self.released) { + ++self.counts[names.size()]; + const auto duration = std::chrono::milliseconds(self.auto_release_ms == 0 ? 10000 : self.auto_release_ms); + const bool signalled = self.changed.wait_for(lock, duration, [&] { return self.released; }); + ++self.counts[names.size() + 1]; + if (!signalled && self.auto_release_ms == 0) throw std::runtime_error("native rendezvous timed out"); + self.released = true; + } + if (self.fail == stage) throw std::runtime_error("injected native failure: " + std::string(names[static_cast(stage)])); + } + bool wait(Stage stage, double seconds, std::size_t count) { + std::unique_lock lock(mutex); + return changed.wait_for(lock, std::chrono::duration(seconds), [&] { return counts[static_cast(stage)] >= count; }); + } + void release() { + const std::lock_guard lock(mutex); + released = true; + changed.notify_all(); + } +}; + +// Py_AtExit runs after Python teardown. Keep only native owners here, so this +// fixture cannot accidentally retain a Python global through the daemon frame. +struct ShutdownWaiter { + std::shared_ptr ledger; + std::shared_ptr cache; + std::shared_ptr probe; + std::unique_ptr policy; +}; +std::atomic shutdown_waiter {nullptr}; +void native_shutdown() noexcept { + std::unique_ptr state(shutdown_waiter.exchange(nullptr)); + if (!state) return; + if (Py_IsInitialized() != 0) std::_Exit(91); + { + const std::lock_guard lock(state->probe->mutex); + if (state->probe->counts[names.size()] <= state->probe->counts[names.size() + 1]) std::_Exit(92); + } + std::fputs("CHILD: native finalizer waiting after Python teardown\n", stdout); + std::fflush(stdout); + try { + state->policy.reset(); + if (state->cache) state->cache->thaw(); + state.reset(); + } catch (...) { + std::_Exit(93); + } + std::fputs("CHILD: native finalizer completed\n", stdout); + std::fflush(stdout); +} +} // namespace +void register_concurrency_hooks(py::module_& m) { + py::class_>(m, "_ConcurrencyProbe") + .def(py::init, bool, int>(), + py::arg("pause") = "", py::arg("fail") = "", py::arg("workers") = std::vector{}, py::arg("reverse") = false, + py::arg("auto_release_ms") = 0) + .def("run", [](NativeProbe& self, const py::function& callback, const py::args& args) { + const detail::ScopedConcurrentProbe scope(&self.probe); + return callback(*args); + }, py::arg("callable")) + .def("wait", [](NativeProbe& self, const std::string& stage, double seconds, std::size_t count) { + const auto point = stage_of(stage); + // Do not run native_call's entry probe inside the probe's own wait. + py::gil_scoped_release detached; + return self.wait(point, seconds, count); + }, py::arg("stage"), py::arg("seconds") = 5.0, py::arg("count") = 1) + .def("release", &NativeProbe::release, py::call_guard()) + .def("counts", [](NativeProbe& self) { + std::array snapshot; + { + py::gil_scoped_release detached; + const std::lock_guard lock(self.mutex); + snapshot = self.counts; + } + py::dict out; + for (std::size_t i = 0; i < names.size(); ++i) out[names[i]] = snapshot[i]; + out["pause_begin"] = snapshot[names.size()]; + out["pause_end"] = snapshot[names.size() + 1]; + return out; + }); + m.def("_at_native_exit", [](const std::shared_ptr& ledger, + const std::shared_ptr& cache, const std::shared_ptr& probe) { + if ((!ledger && !cache) || (ledger && cache) || !probe) throw py::value_error("one native exit resource and a probe are required"); + auto state = native_call([&] { + auto s = std::make_unique(); + s->ledger = ledger; + s->cache = cache; + s->probe = probe; + if (ledger) s->policy = std::make_unique(*ledger, std::vector{0}, std::vector{1}, FlowPolicyConfig{}); + return s; + }); + ShutdownWaiter* empty = nullptr; + if (!shutdown_waiter.compare_exchange_strong(empty, state.get())) { + native_call([&] { state.reset(); }); + throw py::value_error("a native exit waiter is already registered"); + } + if (Py_AtExit(native_shutdown) != 0) { + shutdown_waiter.store(nullptr); + native_call([&] { state.reset(); }); + throw std::runtime_error("native exit registration failed"); + } + (void)state.release(); + }); + m.def("_concurrency_model", [](const std::string& name) { + py::dict out; + if (name == "publication-locked" || name == "publication-unlocked") { + const auto result = detail::publication_model(name == "publication-locked"); + out["states"] = result.states; + out["mixed"] = result.mixed; + } else { + const auto result = detail::phase_model(name); + out["states"] = result.states; + out["partial"] = result.partial; + out["python_under_lock"] = result.python_under_lock; + out["late_hits"] = result.late_hits; + } + return out; + }, py::arg("protocol")); +} +} // namespace netgraph::core::bindings +#endif diff --git a/bindings/python/eligibility.cpp b/bindings/python/eligibility.cpp index d81104f..6e12c78 100644 --- a/bindings/python/eligibility.cpp +++ b/bindings/python/eligibility.cpp @@ -8,6 +8,7 @@ #include "netgraph/core/eligibility.hpp" #include "values.hpp" +#include "native_call.hpp" #include "publication.hpp" #include "registration.hpp" @@ -41,7 +42,8 @@ void register_eligibility(py::module_& m) { "intersect", [](const std::shared_ptr& a, const std::shared_ptr& b) { if (!a || !b) throw py::type_error("Eligibility.intersect takes two Eligibility values"); - auto r = Eligibility::intersect(*a, *b); + if (a->graph_uid() != b->graph_uid()) throw py::value_error("Eligibility.intersect: the two values belong to different graphs"); + auto r = native_call([&] { return Eligibility::intersect(*a, *b); }); if (r.uid() == a->uid()) return typed_shared(a); if (r.uid() == b->uid()) return typed_shared(b); return typed_shared(std::make_shared(std::move(r))); diff --git a/bindings/python/evaluators.cpp b/bindings/python/evaluators.cpp index ff79e86..2c0805d 100644 --- a/bindings/python/evaluators.cpp +++ b/bindings/python/evaluators.cpp @@ -7,6 +7,7 @@ #include #include +#include #include #include #include @@ -22,6 +23,7 @@ #include "netgraph/core/graph.hpp" #include "integers.hpp" #include "publication.hpp" +#include "native_call.hpp" #include "values.hpp" #include "registration.hpp" @@ -116,16 +118,15 @@ void register_evaluators(py::module_& m) { const auto s = node_ids(sources, graph->num_nodes(), "sources"); const auto d = node_ids(destinations, graph->num_nodes(), "destinations"); const EvaluationOptions c = o.native(); - // One public call on a frozen cache's statistics, its result object included: its hits count - // only when the Python result exists. - return detail::frozen_call(c.cache, [&](detail::FrozenCacheHitTally& tally) { - PlacementResult r; - { - py::gil_scoped_release release; - r = detail::evaluate_demand_in_call(*graph, s, d, c, tally); - } - return object_of(std::move(r)); + const auto roster = detail::check_demand_arguments(*graph, s, d, c, detached_argument_work); + auto [obj, slot] = new_object(); + native_call([&] { + return detail::frozen_call(c.cache, [&](detail::FrozenCacheHitTally& tally) { + *slot = detail::evaluate_demand_in_call(*graph, s, d, c, tally, roster ? &*roster : nullptr); + return true; + }); }); + return std::move(obj); }, py::arg("graph"), py::arg("sources"), py::arg("destinations"), py::arg("options"), "The evaluation of a fresh FlowPolicy with options.config on a fresh ledger of graph at options.offer\n" @@ -165,40 +166,51 @@ void register_evaluators(py::module_& m) { std::vector, std::vector>> ps; std::vector> keep; std::vector per; + std::exception_ptr pending; const auto n = graph->num_nodes(); for (std::size_t i = 0; i < num_pairs; ++i) { - const py::object item = items[i]; - // Not a sequence is a wrong type, a sequence of another length a wrong value: one text. - if (is_invalid_sequence(item)) throw py::type_error("each pair must be (sources, destinations)"); - if (py::len(item) != 2) throw py::value_error("each pair must be (sources, destinations)"); - auto t = py::reinterpret_borrow(item); - auto src = node_ids(t[0], n, "sources"); - auto dst = node_ids(t[1], n, "destinations"); - const Eligibility* e = nullptr; - if (eligs) { - const py::object entry = (*eligs)[i]; - if (!entry.is_none()) { - if (!py::isinstance(entry)) throw py::type_error("per_pair_eligibility entries must be Eligibility or None"); - keep.push_back(entry.cast>()); - e = keep.back().get(); + try { + const py::object item = items[i]; + // Not a sequence is a wrong type, a sequence of another length a wrong value: one text. + if (is_invalid_sequence(item)) throw py::type_error("each pair must be (sources, destinations)"); + if (py::len(item) != 2) throw py::value_error("each pair must be (sources, destinations)"); + auto t = py::reinterpret_borrow(item); + auto src = node_ids(t[0], n, "sources"); + auto dst = node_ids(t[1], n, "destinations"); + const Eligibility* e = nullptr; + if (eligs) { + const py::object entry = (*eligs)[i]; + if (!entry.is_none()) { + if (!py::isinstance(entry)) throw py::type_error("per_pair_eligibility entries must be Eligibility or None"); + keep.push_back(entry.cast>()); + e = keep.back().get(); + } + per.push_back(e); } - per.push_back(e); + detail::check_batch_pair(*graph, c.config, src, dst, e, i); + ps.emplace_back(std::move(src), std::move(dst)); + } catch (...) { + pending = std::current_exception(); + break; } - detail::check_batch_pair(*graph, c.config, src, dst, e, i); - ps.emplace_back(std::move(src), std::move(dst)); } - return detail::frozen_call(c.cache, [&](detail::FrozenCacheHitTally& tally) { - std::vector rs; - { - py::gil_scoped_release release; - rs = detail::evaluate_pairs_in_call(*graph, ps, c, per, w, tally); - } - auto out = py::reinterpret_steal(checked(PyList_New(static_cast(rs.size()))).release()); - for (std::size_t i = 0; i < rs.size(); ++i) { - PyList_SET_ITEM(out.ptr(), static_cast(i), object_of(std::move(rs[i])).release().ptr()); - } - return py::object(std::move(out)); + const auto rosters = detail::prepare_batch_rosters(*graph, ps, c, per, w, detached_argument_work); + if (pending) std::rethrow_exception(pending); + auto out = py::reinterpret_steal(checked(PyList_New(static_cast(num_pairs))).release()); + std::vector slots(num_pairs); + for (std::size_t i = 0; i < num_pairs; ++i) { + auto [obj, slot] = new_object(); + slots[i] = slot; + PyList_SET_ITEM(out.ptr(), static_cast(i), obj.release().ptr()); + } + native_call([&] { + return detail::frozen_call(c.cache, [&](detail::FrozenCacheHitTally& tally) { + auto rs = detail::evaluate_pairs_in_call(*graph, ps, c, per, w, tally, rosters); + for (std::size_t i = 0; i < rs.size(); ++i) *slots[i] = std::move(rs[i]); + return true; + }); }); + return out; }, py::arg("graph"), py::arg("pairs"), py::arg("options"), py::arg("per_pair_eligibility") = py::none(), py::arg("workers") = py::none(), @@ -206,8 +218,9 @@ void register_evaluators(py::module_& m) { "options.eligibility " "intersected with per_pair_eligibility[i] (None entries allowed; a given sequence has one entry per pair,\n" "also when empty). workers >= 1; None: NGRAPH_CORE_BATCH_THREADS or 1, and 1 when a cache is\n" - "supplied. Everything is validated before a worker starts, the arguments first, then each pair\n" - "completely in pair order, so the error of the lowest failing pair is raised. Pinned is rejected\n" + "supplied. All checks finish before evaluation workers start: the arguments first, then each pair\n" + "completely in pair order, so the error of the lowest failing pair is raised. First-pass tunnel\n" + "searches run in parallel under one GIL release, before any lease or gate. Pinned is rejected\n" "(`evaluate_pairs does not accept Pinned`: a program has fixed endpoints);\n" "an empty batch returns [].\n" "Caches: a supplied building cache needs workers == 1; a frozen cache is shared by every worker\n" @@ -227,14 +240,15 @@ void register_evaluators(py::module_& m) { const auto d = node_ids(destinations, graph->num_nodes(), "destinations"); const auto w = workers_of(workers, true, static_cast(o.cache)); const EvaluationOptions c = o.native(); - return detail::frozen_call(c.cache, [&](detail::FrozenCacheHitTally& tally) { - SensitivityResult r; - { - py::gil_scoped_release release; - r = detail::evaluate_edge_failures_in_call(*graph, s, d, c, w, tally); - } - return object_of(std::move(r)); + const auto roster = detail::check_edge_failure_arguments(*graph, s, d, c, w, detached_argument_work); + auto [obj, slot] = new_object(); + native_call([&] { + return detail::frozen_call(c.cache, [&](detail::FrozenCacheHitTally& tally) { + *slot = detail::evaluate_edge_failures_in_call(*graph, s, d, c, w, tally, roster ? &*roster : nullptr); + return true; + }); }); + return std::move(obj); }, py::arg("graph"), py::arg("sources"), py::arg("destinations"), py::arg("options"), py::arg("workers") = py::none(), "The baseline evaluate_demand() and one SensitivityEntry per candidate edge. Candidates: with unrestricted\n" diff --git a/bindings/python/flow_ledger.cpp b/bindings/python/flow_ledger.cpp index 914371a..d60ddb8 100644 --- a/bindings/python/flow_ledger.cpp +++ b/bindings/python/flow_ledger.cpp @@ -9,9 +9,9 @@ #include "netgraph/core/graph.hpp" #include "integers.hpp" #include "values.hpp" -#if NETGRAPH_CORE_PRIVATE_HOOKS #include "netgraph/core/detail/ledger_access.hpp" -#endif +#include "netgraph/core/detail/endpoints.hpp" +#include "native_call.hpp" #include "publication.hpp" #include "registration.hpp" @@ -37,47 +37,52 @@ void register_flow_ledger(py::module_& m) { : edge_units(service_baseline, *graph, "service_baseline"); const auto u = reservation_baseline.is_none() ? std::vector(caps.begin(), caps.end()) : edge_units(reservation_baseline, *graph, "reservation_baseline"); - return std::make_shared(graph, r, u); + return native_call([&] { return std::make_shared(graph, r, u); }); }), py::arg("graph"), py::arg("service_baseline") = py::none(), py::kw_only(), py::arg("reservation_baseline") = py::none(), "service_baseline and reservation_baseline: the baselines as integer units, one entry per edge in\n" "[0, the edge's capacity] (a physical baseline goes through to_units first; service_baseline\n" "checked first); None: the capacities. A wrong type (not a 1-D sequence of integers, a non-integer\n" "entry) raises TypeError, a wrong length or an entry outside its range ValueError.") - .def("uid", &FlowLedger::uid, "process-unique ledger uid (the first half of every FlowId)") + .def("uid", [](const FlowLedger& l) { return native_call([&] { return l.uid(); }); }, "process-unique ledger uid (the first half of every FlowId)") .def( - "graph", [](const FlowLedger& fg) { return typed_shared(fg.graph()); }, + "graph", [](const FlowLedger& fg) { auto graph = native_call([&] { return std::shared_ptr(fg.graph()); }); return typed_shared(std::move(graph)); }, "the ledger's graph") .def( "edge_capacity_units", - [](const py::object& self) { return readonly_view(self.cast().edge_capacity_units(), self); }, + [](const py::object& self) { + const auto& ledger = self.cast(); + const auto capacities = native_call([&] { return ledger.edge_capacity_units(); }); + return readonly_view(capacities, self); + }, "int64[E] the graph's capacities in units (read-only view)") .def( - "residual", [](const FlowLedger& fg) { return int64_array(fg.residual()); }, + "residual", [](const FlowLedger& fg) { return int64_array(native_call([&] { return fg.residual(); })); }, "int64[E] snapshot: service_baseline - carried()") .def( - "carried", [](const FlowLedger& fg) { return int64_array(fg.carried()); }, + "carried", [](const FlowLedger& fg) { return int64_array(native_call([&] { return fg.carried(); })); }, "int64[E] snapshot: the sum of every record's edge_flows") .def( - "reserved", [](const FlowLedger& fg) { return int64_array(fg.reserved()); }, + "reserved", [](const FlowLedger& fg) { return int64_array(native_call([&] { return fg.reserved(); })); }, "int64[E] snapshot: strict holds per edge (T1), the sum of every record's edge_reservations") .def( - "unreserved", [](const FlowLedger& fg) { return int64_array(fg.unreserved()); }, + "unreserved", [](const FlowLedger& fg) { return int64_array(native_call([&] { return fg.unreserved(); })); }, "int64[E] snapshot: reservation baseline minus strict holds, per edge") .def( - "records", [](const FlowLedger& fg) { return list_of(fg.records()); }, + "records", [](const FlowLedger& fg) { return list_of(native_call([&] { return fg.records(); })); }, "live records as snapshots in FlowId order: those of bound policies and orphans (records left by a\n" "policy destroyed without remove())") .def( "record", - [](const FlowLedger& fg, const py::object& flow_id) { return typed_object(fg.record(flow_id_of(flow_id))); }, + [](const FlowLedger& fg, const py::object& flow_id) { const auto id = flow_id_of(flow_id); return typed_object(native_call([&] { return fg.record(id); })); }, py::arg("flow_id"), "one record by FlowId (ValueError for a FlowId of another ledger, a retired or an unknown id)") .def( "saturated_boundary_edges", [](const FlowLedger& fg, const py::object& sources, const std::shared_ptr& elig) { - const auto s = node_ids(sources, fg.graph()->num_nodes(), "sources"); - return fg.saturated_boundary_edges(s, elig.get()); + const auto s = node_ids(sources, detail::LedgerAccess::graph(fg)->num_nodes(), "sources"); + if (elig && elig->graph_uid() != detail::LedgerAccess::graph(fg)->uid()) throw py::value_error("foreign Eligibility: built for another graph"); + return native_call([&] { return fg.saturated_boundary_edges(s, elig.get()); }); }, py::arg("sources"), py::arg("eligibility") = nullptr, "Saturation report: the eligible edges with capacity >= 1 unit that leave the set of nodes the\n" @@ -86,32 +91,42 @@ void register_flow_ledger(py::module_& m) { .def( "reset", [](FlowLedger& fg, const py::object& service_baseline, const py::object& reservation_baseline) { - const auto caps = fg.edge_capacity_units(); + const auto& graph = detail::LedgerAccess::graph(fg); + const auto caps = graph->edge_capacity_units(); const auto r = service_baseline.is_none() ? std::vector(caps.begin(), caps.end()) - : edge_units(service_baseline, *fg.graph(), "service_baseline"); + : edge_units(service_baseline, *graph, "service_baseline"); const auto u = reservation_baseline.is_none() ? std::vector(caps.begin(), caps.end()) - : edge_units(reservation_baseline, *fg.graph(), "reservation_baseline"); - fg.reset(r, u); + : edge_units(reservation_baseline, *graph, "reservation_baseline"); + native_call([&] { fg.reset(r, u); }); }, py::arg("service_baseline") = py::none(), py::kw_only(), py::arg("reservation_baseline") = py::none(), "New baselines (None: the capacities); orphaned records with their allocations and holds are\n" "cleared and their ids retired (ids are never reused). ValueError while a policy is bound.") .def( - "copy", [](const FlowLedger& fg) { return std::make_shared(fg); }, + "copy", [](const FlowLedger& fg) { return native_call([&] { return std::make_shared(fg); }); }, "a new ledger (new uid) with the same baselines, records and holds, ids kept under the new uid;\n" "ValueError while a policy is bound") - .def("__copy__", [](const FlowLedger& fg) { return std::make_shared(fg); }) - .def("__deepcopy__", [](const FlowLedger& fg, const py::object&) { return std::make_shared(fg); }, + .def("__copy__", [](const FlowLedger& fg) { return native_call([&] { return std::make_shared(fg); }); }) + .def("__deepcopy__", [](const FlowLedger& fg, const py::object&) { return native_call([&] { return std::make_shared(fg); }); }, py::arg("memo")); #if NETGRAPH_CORE_PRIVATE_HOOKS ledger_class .def( "_state", [](const FlowLedger& fg) { + struct Snapshot { + std::int64_t next; + std::vector bound, orphans; + }; + const auto state = native_call([&] { + const auto gate = detail::LedgerAccess::lock(fg); + return Snapshot {detail::LedgerAccess::next_record_counter(fg), + detail::LedgerAccess::bound_policy_ids(fg), detail::LedgerAccess::orphan_policy_ids(fg)}; + }); py::dict out; - out["next_flow_id"] = detail::LedgerAccess::next_record_counter(fg); - out["bound"] = detail::LedgerAccess::bound_policy_ids(fg); - out["orphans"] = detail::LedgerAccess::orphan_policy_ids(fg); + out["next_flow_id"] = state.next; + out["bound"] = state.bound; + out["orphans"] = state.orphans; return out; }, "private: {next_flow_id, bound, orphans} (owner ids)"); diff --git a/bindings/python/flow_policy.cpp b/bindings/python/flow_policy.cpp index 6965c30..6a18cf6 100644 --- a/bindings/python/flow_policy.cpp +++ b/bindings/python/flow_policy.cpp @@ -4,8 +4,10 @@ #include #include +#include #include #include +#include #include #include #include @@ -19,6 +21,9 @@ #include "integers.hpp" #include "publication.hpp" #include "values.hpp" +#include "native_call.hpp" +#include "policy_value.hpp" +#include "netgraph/core/detail/ledger_access.hpp" #if NETGRAPH_CORE_PRIVATE_HOOKS #include #include @@ -37,6 +42,29 @@ namespace netgraph::core::bindings { namespace { +// Register all dependencies before binding the policy. This leaves no flag or +// incremented reference behind when +// a map/vector allocation fails. with_internals supplies pybind11's registry +// lock on a free-threaded interpreter; no Python callback runs inside it. +void pin_policy(py::detail::instance* nurse, std::initializer_list dependencies) { + std::vector pins; + pins.reserve(dependencies.size()); + for (const auto dependency : dependencies) { + if (!dependency.is_none()) pins.push_back(dependency.ptr()); + } + py::detail::with_internals([&](py::detail::internals& internals) { + const auto [it, inserted] = internals.patients.emplace(reinterpret_cast(nurse), std::move(pins)); + (void)it; + if (!inserted) throw std::logic_error("FlowPolicy dependencies already registered"); + }); + // Arguments still pin these objects. The remaining steps cannot fail and run + // after the registry lock, before this shell can publish a bound policy. + for (const auto dependency : dependencies) { + if (!dependency.is_none()) Py_INCREF(dependency.ptr()); + } + nurse->has_patients = true; +} + // A request or a full offer: units in [0, 2^62) or +inf (float('inf')); nullopt is +inf. std::optional request_units(const py::object& offer) { return units_or_inf(offer, "offer must be an integer in [0, 2^62) or permitted +inf"); @@ -58,24 +86,47 @@ std::optional> design_units(const py::object& design) { #if NETGRAPH_CORE_PRIVATE_HOOKS // The epoch state of a policy (roster, requested, +inf, per roster source the flows). -py::dict state_obj(const FlowPolicy& policy) { +py::dict state_obj(const py::object& self) { + const auto& policy = policy_value(self); const auto& pe = detail::PolicyAccess::engine(policy); + struct Flow { detail::LiveFlow flow; FlowRecord record; }; + struct Snapshot { + std::vector roster; + Counter128 requested; + bool infinite; + Amount delivered {0}; + std::vector> cohorts; + }; + auto snapshot = native_call([&] { + const auto gate = detail::LedgerAccess::lock(pe.ledger); + Snapshot state {pe.reachable_sources, pe.epoch.requested, pe.epoch.infinite, 0, {}}; + state.cohorts.resize(pe.epoch.record_groups.size()); + for (std::size_t i = 0; i < state.cohorts.size(); ++i) { + for (const auto& flow : pe.epoch.record_groups[i]) { + auto record = detail::LedgerAccess::live(pe.ledger, flow.record_counter); + state.delivered += record.delivered; + state.cohorts[i].push_back({flow, std::move(record)}); + } + } + return state; + }); py::dict out; const auto& r = pe.config.routing; out["mode"] = detail::model_name(r); - out["roster"] = pe.reachable_sources; - out["requested"] = counter_int(pe.epoch.requested); - out["infinite"] = pe.epoch.infinite; - out["placed_demand"] = policy.delivered(); + out["roster"] = snapshot.roster; + out["requested"] = counter_int(snapshot.requested); + out["infinite"] = snapshot.infinite; + out["placed_demand"] = snapshot.delivered; py::dict cohorts; // Per roster source its flows (T1, T2 and Pinned: per program entry, keyed by its position). const auto* gl = std::get_if(&r); const bool per_entry = std::holds_alternative(r) || std::holds_alternative(r) || (gl != nullptr && gl->tunnel_count.has_value()); - for (std::size_t i = 0; i < pe.epoch.record_groups.size(); ++i) { + for (std::size_t i = 0; i < snapshot.cohorts.size(); ++i) { py::list flows; - for (const auto& s : pe.epoch.record_groups[i]) { - const FlowRecord& rec = detail::LedgerAccess::live(pe.ledger, s.record_counter); + for (const auto& row : snapshot.cohorts[i]) { + const auto& s = row.flow; + const FlowRecord& rec = row.record; py::dict f; f["flow_id"] = py::make_tuple(rec.flow_id.first, rec.flow_id.second); f["src"] = s.source; @@ -87,7 +138,7 @@ py::dict state_obj(const FlowPolicy& policy) { f["entry"] = s.entry_id < 0 ? py::object(py::none()) : py::object(py::int_(s.entry_id)); flows.append(f); } - cohorts[py::int_(per_entry ? static_cast(i) : static_cast(pe.reachable_sources[i]))] = flows; + cohorts[py::int_(per_entry ? static_cast(i) : static_cast(snapshot.roster[i]))] = flows; } out["cohorts"] = cohorts; return out; @@ -99,8 +150,9 @@ py::dict state_obj(const FlowPolicy& policy) { void register_flow_policy(py::module_& m) { [[maybe_unused]] auto flow_policy = py::class_( - m, "FlowPolicy", - "The placement engine for one demand, bound to its ledger at construction. Every call (place,\n" + m, "FlowPolicy", py::is_final(), py::release_gil_before_calling_cpp_dtor(), + "The placement engine for one demand, bound to its ledger at construction. A final Python class.\n" + "Native computation releases the GIL; one ledger gate serializes calls and mutable reads. Every call (place,\n" "evaluate, replace, forward) is all-or-nothing: a failed call raises and leaves the ledger and the\n" "policy as they were (with the two limits in the module docstring). remove() takes every flow of the\n" "policy back out, clears its program and starts a new epoch (the request total starts again from 0);\n" @@ -111,16 +163,44 @@ void register_flow_policy(py::module_& m) { "graph, ledger or policy; TypeError for a ledger (None included), config, eligibility, cache or\n" "outputs of the wrong class, a node id or a request of a wrong type (a bool, a float node id, a\n" "string) and an unknown keyword.") - .def(py::init([](const std::shared_ptr& ledger, const py::object& sources, - const py::object& destinations, const FlowPolicyConfig& config, + .def("__init__", [](py::detail::value_and_holder& instance, const std::shared_ptr& ledger, + const py::object& sources, const py::object& destinations, const FlowPolicyConfig& config, const std::shared_ptr& elig, const std::shared_ptr& cache) { if (!ledger) throw py::type_error("ledger must be a FlowLedger"); - const auto n = ledger->graph()->num_nodes(); + const auto n = detail::LedgerAccess::graph(*ledger)->num_nodes(); const auto s = node_ids(sources, n, "sources"); const auto d = node_ids(destinations, n, "destinations"); - return std::make_unique(*ledger, s, d, config, elig.get(), cache.get()); - }), - py::keep_alive<1, 2>(), py::keep_alive<1, 6>(), py::keep_alive<1, 7>(), py::arg("ledger"), + auto prepared = detail::PolicyAccess::prepare(*ledger, s, d, config, elig.get(), cache.get(), nullptr, detached_argument_work); + // Registration and holder construction can allocate. Complete them while the + // shell is unbound; no Python work remains after native construction publishes. + auto holder = detail::PolicyAccess::shell(); + auto* policy = holder.get(); + instance.inst->owned = false; + instance.value_ptr() = policy; + try { + instance.type->init_instance(instance.inst, &holder); + instance.inst->owned = true; + } catch (...) { + instance.value_ptr() = nullptr; + throw; + } + try { + pin_policy(instance.inst, {py::cast(ledger), py::cast(elig), py::cast(cache)}); + native_call([&] { detail::PolicyAccess::construct(*policy, std::move(prepared), cache.get()); }); + } catch (...) { + // A failed __init__ must leave no usable shell, including explicit __new__ + // followed by a caught constructor failure. Final classes also forbid a + // subclass that swallows __init__'s exception. + if (instance.instance_registered()) { + py::detail::deregister_instance(instance.inst, instance.value_ptr(), instance.type); + instance.set_instance_registered(false); + } + instance.type->dealloc(instance); + if (instance.inst->has_patients) py::detail::clear_patients(reinterpret_cast(instance.inst)); + throw; + } + }, py::detail::is_new_style_constructor(), + py::arg("ledger"), py::arg("sources"), py::arg("destinations"), py::arg("config"), py::arg("eligibility") = nullptr, py::arg("cache") = nullptr, "Bind a policy to ledger. eligibility (None: everything allowed) and cache (None: none; only ShortestPaths\n" @@ -138,16 +218,15 @@ void register_flow_policy(py::module_& m) { "match policy endpoints`).") .def( "place", - [](FlowPolicy& p, const py::object& offer, const py::object& outputs) { + [](const py::object& self, const py::object& offer, const py::object& outputs) { + auto& p = policy_value(self); // The operation comes before the offer (the call's order). detail::check_place_operation(detail::PolicyAccess::engine(p)); const auto v = request_units(offer); const auto o = outputs_of(outputs); - // All or nothing across the boundary: the result's Python object exists before the - // call, and after the commit nothing allocates (the value moves into it). The GIL - // stays held: the call mutates the ledger (one writer per ledger). + detail::check_policy_arguments(detail::PolicyAccess::engine(p), detail::PolicyOperation::Place, v); auto [obj, slot] = new_object(); - *slot = p.place(v, o); + native_call([&] { *slot = p.place(v, o); }); return std::move(obj); }, py::arg("offer"), py::arg("outputs") = py::none(), @@ -169,26 +248,29 @@ void register_flow_policy(py::module_& m) { "more than INT32_MAX - 2 nodes, or more than 2^30 - 1 edges, sources and destinations together. A\n" "LOSSY forwarding whose losses wait on each other in a cycle raises ValueError when its rounds\n" "alternate between two states or reach the round limit, RuntimeError when the result's check fails.") - .def("remove", &FlowPolicy::remove, + .def("remove", [](const py::object& self) { auto& p = policy_value(self); native_call([&] { p.remove(); }); }, "revert every flow and hold of the policy, retire the ids, clear the program, open a new epoch") - .def("delivered", &FlowPolicy::delivered, "the sum of delivered over the policy's live records") + .def("delivered", [](const py::object& self) { auto& p = policy_value(self); return native_call([&] { return p.delivered(); }); }, "the sum of delivered over the policy's live records") .def( - "records", [](const FlowPolicy& p) { return list_of(p.records()); }, + "records", [](const py::object& self) { auto& p = policy_value(self); return list_of(native_call([&] { return p.records(); })); }, "the policy's live records as snapshots in FlowId order") .def( "record", - [](const FlowPolicy& p, const py::object& flow_id) { return typed_object(p.record(flow_id_of(flow_id))); }, + [](const py::object& self, const py::object& flow_id) { + auto& p = policy_value(self); const auto id = flow_id_of(flow_id); return typed_object(native_call([&] { return p.record(id); })); }, py::arg("flow_id"), "one of the policy's live records by FlowId (ValueError for a FlowId of another ledger or policy, a\n" "retired or an unknown id)") .def( "evaluate", - [](const FlowPolicy& p, const py::object& offer, const py::object& design_demand, const py::object& outputs) { + [](const py::object& self, const py::object& offer, const py::object& design_demand, const py::object& outputs) { + auto& p = policy_value(self); const auto v = request_units(offer); const auto d = design_units(design_demand); const auto o = outputs_of(outputs); + detail::check_policy_arguments(detail::PolicyAccess::engine(p), detail::PolicyOperation::Evaluate, v, d); auto [obj, slot] = new_object(); - *slot = p.evaluate(v, d, o); + native_call([&] { *slot = p.evaluate(v, d, o); }); return std::move(obj); }, py::arg("offer"), py::kw_only(), py::arg("design_demand") = py::none(), py::arg("outputs") = py::none(), @@ -200,12 +282,14 @@ void register_flow_policy(py::module_& m) { "replace. LOSSY requires a finite offer.") .def( "replace", - [](FlowPolicy& p, const py::object& offer, const py::object& design_demand, const py::object& outputs) { + [](const py::object& self, const py::object& offer, const py::object& design_demand, const py::object& outputs) { + auto& p = policy_value(self); const auto v = request_units(offer); const auto d = design_units(design_demand); const auto o = outputs_of(outputs); + detail::check_policy_arguments(detail::PolicyAccess::engine(p), detail::PolicyOperation::Replace, v, d); auto [obj, slot] = new_object(); - *slot = p.replace(v, d, o); + native_call([&] { *slot = p.replace(v, d, o); }); return std::move(obj); }, py::arg("offer"), py::kw_only(), py::arg("design_demand") = py::none(), py::arg("outputs") = py::none(), @@ -221,14 +305,16 @@ void register_flow_policy(py::module_& m) { "finiteness).") .def( "forward", - [](FlowPolicy& p, const py::object& offer, const py::object& black_holes, const py::object& outputs) { - // The operation and the installed program come before the offer (the call's order). + [](const py::object& self, const py::object& offer, const py::object& black_holes, const py::object& outputs) { + auto& p = policy_value(self); + // Only the immutable operation check precedes offer conversion. detail::check_forward_operation(detail::PolicyAccess::engine(p)); const auto v = request_units(offer); const auto bh = eligibility_or_none(black_holes, "black_holes"); const auto o = outputs_of(outputs); + detail::check_policy_arguments(detail::PolicyAccess::engine(p), detail::PolicyOperation::Forward, v, {}, bh.get()); auto [obj, slot] = new_object(); - *slot = p.forward(v, bh.get(), o); + native_call([&] { *slot = p.forward(v, bh.get(), o); }); return std::move(obj); }, py::arg("offer"), py::kw_only(), py::arg("black_holes") = py::none(), py::arg("outputs") = py::none(), @@ -238,36 +324,45 @@ void register_flow_policy(py::module_& m) { "program's lossless bound up to the offer; LOSSY sends the offer. black_holes (an Eligibility of the\n" "graph): the nodes and edges it excludes are black holes for this call (stale forwarding: traffic\n" "reaching one is dropped there; a black-holed source loses its share). In this order: Pinned raises\n" - "`Pinned forwards with replace`; no installed program `forward requires an installed program`;\n" - "the offer; LOSSY +inf `LOSSY forwarding requires a finite offer`; black_holes\n" - "of another graph `black_holes belongs to another graph`.") + "`Pinned forwards with replace`; the offer; LOSSY +inf `LOSSY forwarding requires a finite offer`;\n" + "black_holes of another graph `black_holes belongs to another graph`; then, under the gate,\n" + "no installed program `forward requires an installed program`.") .def_property_readonly( "program", - [](const FlowPolicy& p) { return optional_shared(p.program()); }, + [](const py::object& self) { auto& p = policy_value(self); return optional_shared(native_call([&] { return p.program(); })); }, "the installed ForwardingProgram; None before the first preparation and after remove()") - .def_property_readonly("config", [](const FlowPolicy& p) { return typed_object(p.config()); }, + .def_property_readonly("config", [](const py::object& self) { auto& p = policy_value(self); return typed_object(p.config()); }, "the configuration as validated at construction, ShortestPaths' absent\n" "source_allocation and weight_basis resolved to the allocation's defaults"); #if NETGRAPH_CORE_PRIVATE_HOOKS + py::class_(m, "_PlacementTrace") + .def("as_dict", [](const detail::Trace& trace) { return trace_obj(trace); }, + "private: convert the completed native trace to Python values"); flow_policy + .def("_seed_requested", [](const py::object& self, std::uint64_t hi, std::uint64_t lo) { + auto& p = policy_value(self); + if (hi >= (std::uint64_t{1} << 63)) throw py::value_error("requested seed reaches 2^127"); + native_call([&] { + auto& engine = detail::PolicyAccess::engine(p); + const auto gate = detail::LedgerAccess::lock(engine.ledger); + engine.epoch.requested = Counter128 {hi, lo}; + }); + }, py::arg("hi"), py::arg("lo"), "private: seed the exact requested counter") .def( "_place_traced", - [](FlowPolicy& p, const py::object& offer, const py::object& outputs) { + [](const py::object& self, const py::object& offer, const py::object& outputs) { + auto& p = policy_value(self); detail::check_place_operation(detail::PolicyAccess::engine(p)); const auto v = request_units(offer); const auto o = outputs_of(outputs); - // As place(): every Python object exists before anything changes; the engine runs the - // `staged` callback, which converts the trace, after the work is done and before the - // commit, so a failed conversion changes nothing. + detail::check_policy_arguments(detail::PolicyAccess::engine(p), detail::PolicyOperation::Place, v); auto [obj, slot] = new_object(); + auto [trace_obj, trace] = new_object(); auto pair = py::reinterpret_steal(checked(PyTuple_New(2)).release()); - py::object trace_py; - detail::Trace trace; - const std::function staged = [&] { trace_py = trace_obj(trace); }; - *slot = detail::place_traced(p, v, o, trace, &staged); PyTuple_SET_ITEM(pair.ptr(), 0, obj.release().ptr()); - PyTuple_SET_ITEM(pair.ptr(), 1, trace_py.release().ptr()); + PyTuple_SET_ITEM(pair.ptr(), 1, trace_obj.release().ptr()); + native_call([&] { *slot = detail::place_traced(p, v, o, *trace); }); return pair; }, py::arg("offer"), py::arg("outputs") = py::none(), @@ -275,7 +370,7 @@ void register_flow_policy(py::module_& m) { "the tests' model of the policy keys them)") .def("_state", &state_obj, "private: the epoch state (roster, requested, +inf, cohorts)") .def( - "_owner", [](const FlowPolicy& p) { return detail::PolicyAccess::engine(p).policy_id; }, + "_owner", [](const py::object& self) { auto& p = policy_value(self); return detail::PolicyAccess::engine(p).policy_id; }, "private: the ledger-local owner id (FlowRecord.policy_id)"); #endif } diff --git a/bindings/python/flow_solver_hook.cpp b/bindings/python/flow_solver_hook.cpp index 1c87a8b..2b62104 100644 --- a/bindings/python/flow_solver_hook.cpp +++ b/bindings/python/flow_solver_hook.cpp @@ -16,6 +16,7 @@ #include "netgraph/core/graph.hpp" #include "integers.hpp" #include "registration.hpp" +#include "native_call.hpp" namespace py = pybind11; @@ -58,12 +59,11 @@ void register_flow_solver_hook(py::module_& m) { } c = static_cast(value); } - detail::MinCostFlowResult r; - { - py::gil_scoped_release release; - const auto view_units = v.narrow(); - r = detail::solve_min_cost_flow(*graph, view_units, s, d, elig.get(), c); + if (elig && elig->graph_uid() != graph->uid()) { + throw py::value_error("foreign Eligibility: built for another graph"); } + const auto view_units = v.narrow(); + auto r = native_call([&] { return detail::solve_min_cost_flow(*graph, view_units, s, d, elig.get(), c); }); py::dict out; out["flow_value"] = py::int_(r.flow_value); py::list curve; diff --git a/bindings/python/forwarding_program.cpp b/bindings/python/forwarding_program.cpp index a31ce13..be55c67 100644 --- a/bindings/python/forwarding_program.cpp +++ b/bindings/python/forwarding_program.cpp @@ -18,6 +18,7 @@ #include "netgraph/core/forwarding_program.hpp" #include "integers.hpp" #include "values.hpp" +#include "native_call.hpp" #include "publication.hpp" #include "registration.hpp" @@ -193,7 +194,11 @@ void register_program(py::module_& m) { options.edge_weights = ew->narrow(); } if (rw.has_value()) options.residual = edge_amounts(residual, *graph, "residual", "residual (units)").narrow(); - return typed_shared(ForwardingProgram::from_routes(*graph, s, d, rs, options)); + auto checked = native_call([&] { return detail::check_route_definitions(*graph, s, d, rs, options); }); + return typed_shared(native_call([&] { + auto prepared = std::move(checked); + return detail::ProgramAccess::from_checked_routes(s, d, rs, std::move(prepared)); + })); }, py::arg("graph"), py::arg("sources"), py::arg("destinations"), py::arg("routes"), py::kw_only(), py::arg("allocation") = py::none(), py::arg("weight_basis") = py::none(), py::arg("edge_weights") = py::none(), @@ -244,7 +249,7 @@ void register_program(py::module_& m) { options.edge_weights = ew->narrow(); } if (rw.has_value()) options.residual = edge_amounts(residual, *graph, "residual", "residual (units)").narrow(); - return typed_shared(ForwardingProgram::from_dag(*graph, s, d, shared_dag, options)); + return typed_shared(native_call([&] { return ForwardingProgram::from_dag(*graph, s, d, shared_dag, options); })); }, py::arg("graph"), py::arg("sources"), py::arg("destinations"), py::arg("dag"), py::kw_only(), py::arg("allocation") = py::none(), py::arg("weight_basis") = py::none(), py::arg("edge_weights") = py::none(), diff --git a/bindings/python/graph.cpp b/bindings/python/graph.cpp index b61092d..77f2920 100644 --- a/bindings/python/graph.cpp +++ b/bindings/python/graph.cpp @@ -13,6 +13,7 @@ #include "integers.hpp" #include "strict_float.hpp" #include "values.hpp" +#include "native_call.hpp" #include "registration.hpp" namespace py = pybind11; @@ -112,8 +113,7 @@ std::shared_ptr make_graph(const py::object& num_nodes, const py::object& auto cost_v = w.narrow(); auto src_v = s.narrow(); auto dst_v = d.narrow(); - py::gil_scoped_release release; - return std::make_shared(static_cast(n), src_v, dst_v, cap_v, cost_v, resolution); + return native_call([&] { return std::make_shared(static_cast(n), src_v, dst_v, cap_v, cost_v, resolution); }); } } // namespace @@ -208,7 +208,9 @@ void register_graph(py::module_& m) { std::to_string(g.num_edges()) + ")"); } } - return std::make_shared(g.eligibility(xn.narrow(), xe.narrow())); + const auto nodes = xn.narrow(); + const auto edges = xe.narrow(); + return native_call([&] { return std::make_shared(g.eligibility(nodes, edges)); }); }, py::arg("excluded_nodes") = py::tuple(), py::arg("excluded_edges") = py::tuple(), "Static eligibility from excluded node ids and EdgeIds (duplicates and unsorted lists\n" diff --git a/bindings/python/hooks.cpp b/bindings/python/hooks.cpp index 8dad8b8..5a21f52 100644 --- a/bindings/python/hooks.cpp +++ b/bindings/python/hooks.cpp @@ -12,6 +12,7 @@ #include #include #include +#include #include #include #include @@ -92,6 +93,27 @@ bool native_counted() noexcept { return g_native_armed.load(std::memory_order_relaxed) && g_native_owner.load() == std::this_thread::get_id(); } +// Registration may lazily allocate a bucket table which pybind11 keeps after +// the last instance is removed. In a free-threaded build the address of a new +// result can select a previously unused shard despite warming the operation. +// Prepare only those interpreter-owned empty tables before counting the call; +// native buffers, holders and registry nodes still fail/count in the call. +void prepare_native_registry() { + auto prepare = [](py::detail::instance_map& instances) { + if (instances.empty() && instances.bucket_count() <= 1) instances.reserve(1); + }; + auto& internals = py::detail::get_internals(); +#ifdef Py_GIL_DISABLED + for (std::size_t i = 0; i <= internals.instance_shards_mask; ++i) { + auto& shard = internals.instance_shards[i]; + std::unique_lock lock(shard.mutex); + prepare(shard.registered_instances); + } +#else + prepare(internals.registered_instances); +#endif +} + void* native_allocate(std::size_t n) { if (native_counted()) { g_native_seen.fetch_add(1); @@ -122,6 +144,7 @@ void native_free(void* p) noexcept { } // namespace void register_private_hooks(py::module_& m) { + register_concurrency_hooks(m); m.def( "_fail_python_allocation", [](const py::object& fn, const py::tuple& args, long k) { @@ -151,6 +174,7 @@ void register_private_hooks(py::module_& m) { // Calls fn(*args) with the calling thread's k-th native allocation (from 0) failing. // Returns (hit, allocations seen, result or None, exception or None, allocations of the // call still live). One caller at a time. + prepare_native_registry(); g_native_countdown.store(k); g_native_seen.store(0); g_native_live.store(0); diff --git a/bindings/python/native_call.hpp b/bindings/python/native_call.hpp new file mode 100644 index 0000000..7ec16e7 --- /dev/null +++ b/bindings/python/native_call.hpp @@ -0,0 +1,32 @@ +// The Python/native boundary. Only native values may cross this scope: all Python +// conversion and ownership work is done by the caller before or after it. +#pragma once + +#include +#include +#include +#include "netgraph/core/detail/concurrency.hpp" + +namespace netgraph::core::bindings { +// Native argument work can precede computation. It uses the same detach scope, +// without announcing that the computation or its publication has begun. +template +decltype(auto) native_call(Body&& body) { + pybind11::gil_scoped_release detached; + if constexpr (Computation) detail::concurrent_event(detail::ConcurrentStage::NativeBegin, nullptr); + else detail::concurrent_event(detail::ConcurrentStage::ArgumentBegin, nullptr); + if constexpr (std::is_void_v>) { + std::forward(body)(); + if constexpr (Computation) detail::publication_event(detail::ConcurrentStage::NativeComplete, nullptr); + } else { + auto result = std::forward(body)(); + if constexpr (Computation) detail::publication_event(detail::ConcurrentStage::NativeComplete, nullptr); + return result; + } +} +// Run only the graph-size part of a first pass detached, preserving the +// attached argument conversions and the surrounding check order. +inline void detached_argument_work(void (*body)(void*), void* context) { + native_call([&] { body(context); }); +} +} // namespace netgraph::core::bindings diff --git a/bindings/python/path.cpp b/bindings/python/path.cpp index a1084e2..0c39605 100644 --- a/bindings/python/path.cpp +++ b/bindings/python/path.cpp @@ -13,6 +13,8 @@ #include "integers.hpp" #include "registration.hpp" #include "values.hpp" +#include "native_call.hpp" +#include "netgraph/core/detail/route_builders.hpp" namespace py = pybind11; @@ -47,7 +49,8 @@ void register_path(py::module_& m) { std::vector> narrowed; narrowed.reserve(raw.size()); for (const auto& r : raw) narrowed.push_back(r.narrow()); - return std::make_shared(*graph, std::move(narrowed)); + detail::check_hops(*graph, narrowed); + return native_call([&] { return std::make_shared(detail::PathBuilder::of_hops(*graph, std::move(narrowed))); }); }), py::arg("graph"), py::arg("hops"), "Validates, in order (ValueError on the first defect): every member id in range, no duplicate\n" @@ -59,7 +62,7 @@ void register_path(py::module_& m) { .def("destination", &Path::destination, "the last node of the walk") .def("cost", &Path::cost, "sum over hops of the minimum member cost") .def( - "to_dag", [](const Path& p) { return std::make_shared(p.to_dag()); }, + "to_dag", [](const Path& p) { return native_call([&] { return std::make_shared(p.to_dag()); }); }, "the equivalent PredecessorDAG (every member of every hop)") .def("__eq__", [](const Path& a, const py::object& b) { return py::isinstance(b) && a == b.cast(); diff --git a/bindings/python/path_enumeration.cpp b/bindings/python/path_enumeration.cpp index 4c226bc..f21772c 100644 --- a/bindings/python/path_enumeration.cpp +++ b/bindings/python/path_enumeration.cpp @@ -25,6 +25,7 @@ #include "publication.hpp" #include "values.hpp" #include "registration.hpp" +#include "native_call.hpp" namespace py = pybind11; @@ -122,11 +123,10 @@ void register_paths(py::module_& m) { if (!o.residual.is_none()) res = edge_units(o.residual, *graph, "residual"); if (res.has_value()) c.residual = std::span(*res); c.eligibility = o.eligibility.get(); - std::vector> paths; - { - py::gil_scoped_release release; - paths = ksp(*graph, s, t, c); + if (c.eligibility && c.eligibility->graph_uid() != graph->uid()) { + throw py::value_error("foreign Eligibility: built for another graph"); } + auto paths = native_call([&] { return ksp(*graph, s, t, c); }); // Every object through a checked allocation: a failure raises MemoryError. auto out = py::reinterpret_steal(checked(PyList_New(static_cast(paths.size()))).release()); for (std::size_t i = 0; i < paths.size(); ++i) { @@ -160,11 +160,7 @@ void register_paths(py::module_& m) { if (s == t) throw py::value_error(detail::overlap_error(s, "source", "destination")); std::optional mp; if (!max_paths.is_none()) mp = count_of(max_paths, "max_paths"); - std::vector paths; - { - py::gil_scoped_release release; - paths = resolve_to_paths(*graph, *dag, s, t, split_parallel_edges, mp); - } + auto paths = native_call([&] { return resolve_to_paths(*graph, *dag, s, t, split_parallel_edges, mp); }); auto out = py::reinterpret_steal(checked(PyList_New(static_cast(paths.size()))).release()); for (std::size_t i = 0; i < paths.size(); ++i) { PyList_SET_ITEM(out.ptr(), static_cast(i), object_from(std::move(paths[i])).release().ptr()); diff --git a/bindings/python/policy_value.hpp b/bindings/python/policy_value.hpp new file mode 100644 index 0000000..6fe66e8 --- /dev/null +++ b/bindings/python/policy_value.hpp @@ -0,0 +1,23 @@ +// Reject an unconstructed Python policy before pybind11's ordinary value loader +// can allocate raw storage for it. Explicit __new__/failed __init__ is legal Python. +#pragma once +#include +#include "netgraph/core/flow_policy.hpp" +#include "netgraph/core/detail/policy_engine.hpp" + +namespace netgraph::core::bindings { +inline FlowPolicy& policy_value(const pybind11::handle& self) { + const auto* type = pybind11::detail::get_type_info(typeid(FlowPolicy), true); + // isinstance can consult a forged __class__. Only the real extension type has + // the instance layout read below; never reinterpret an unrelated Python object. + if (PyObject_TypeCheck(self.ptr(), type->type) == 0) throw pybind11::type_error("policy must be a FlowPolicy"); + auto* instance = reinterpret_cast(self.ptr()); + auto value = instance->get_value_and_holder(type); + if (!value.holder_constructed() || !value.instance_registered() || value.value_ptr() == nullptr) { + throw pybind11::type_error("FlowPolicy is not constructed"); + } + auto& policy = *static_cast(value.value_ptr()); + if (!detail::PolicyAccess::constructed(policy)) throw pybind11::type_error("FlowPolicy is not constructed"); + return policy; +} +} // namespace netgraph::core::bindings diff --git a/bindings/python/predecessor_dag.cpp b/bindings/python/predecessor_dag.cpp index 790db95..221e3e0 100644 --- a/bindings/python/predecessor_dag.cpp +++ b/bindings/python/predecessor_dag.cpp @@ -11,6 +11,8 @@ #include "netgraph/core/route_structures.hpp" #include "integers.hpp" #include "values.hpp" +#include "native_call.hpp" +#include "netgraph/core/detail/route_builders.hpp" #include "registration.hpp" namespace py = pybind11; @@ -47,9 +49,9 @@ void register_predecessor_dag(py::module_& m) { [](const std::shared_ptr& graph, const py::object& offsets, const py::object& parents, const py::object& via) { if (!graph) throw py::type_error("graph must be a Graph"); - // from_csr's validation order on unnarrowed values (the shape, then the ranges); the C++ - // constructor re-checks it and adds the structural checks (endpoints, duplicates, - // acyclic, ascending). + // Validate the unnarrowed shape and ranges, then the native structural + // rules below (endpoints, duplicates, acyclic, ascending), all before + // detaching. The builder consumes these checked native arrays. const auto n = static_cast(graph->num_nodes()); const auto edge_count = static_cast(graph->num_edges()); const std::size_t lo = sequence_length(offsets, "parent_offsets"); @@ -86,7 +88,8 @@ void register_predecessor_dag(py::module_& m) { const auto ov = o.narrow(); const auto pv = p.narrow(); const auto wv = w.narrow(); - return std::make_shared(PredecessorDAG::from_csr(*graph, ov, pv, wv)); + detail::check_csr(*graph, ov, pv, wv); + return native_call([&] { return std::make_shared(detail::PredecessorDAGBuilder::of_csr(*graph, ov, pv, wv)); }); }, py::arg("graph"), py::arg("parent_offsets"), py::arg("parents"), py::arg("via_edges"), "Validates, in order, before any traversal (ValueError on the first defect): parent_offsets of\n" diff --git a/bindings/python/registration.hpp b/bindings/python/registration.hpp index 48ba3af..f479c9a 100644 --- a/bindings/python/registration.hpp +++ b/bindings/python/registration.hpp @@ -36,6 +36,7 @@ void register_evaluators(pybind11::module_& m); // evaluate_demand, evalu void register_paths(pybind11::module_& m); // KspOptions, ksp, resolve_to_paths void register_search(pybind11::module_& m); // UNREACHABLE, SpfOptions, SpfResult, spf #if NETGRAPH_CORE_PRIVATE_HOOKS +void register_concurrency_hooks(pybind11::module_& m); void register_private_hooks(pybind11::module_& m); // the test controls and diagnostics #endif diff --git a/bindings/python/search.cpp b/bindings/python/search.cpp index 6b8a6f7..7a7d3ee 100644 --- a/bindings/python/search.cpp +++ b/bindings/python/search.cpp @@ -27,6 +27,7 @@ #include "publication.hpp" #include "values.hpp" #include "registration.hpp" +#include "native_call.hpp" namespace py = pybind11; @@ -165,22 +166,21 @@ void register_search(py::module_& m) { // Above INT64_MAX it gates every residual edge exactly as INT64_MAX does (residuals < 2^62). c.min_residual = overflow != 0 ? std::numeric_limits::max() : static_cast(mv); c.eligibility = o.eligibility.get(); - std::optional result; - { - py::gil_scoped_release release; - result.emplace(spf(*graph, r, c)); + if (c.eligibility && c.eligibility->graph_uid() != graph->uid()) { + throw py::value_error("foreign Eligibility: built for another graph"); } + auto result = native_call([&] { return spf(*graph, r, c); }); // The result's Python objects, each through a checked allocation: a failure raises. auto [obj, slot] = new_object(); - if (result->costs.has_value()) { - py::array_t costs(static_cast(result->costs->size())); - std::copy(result->costs->begin(), result->costs->end(), costs.mutable_data()); + if (result.costs.has_value()) { + py::array_t costs(static_cast(result.costs->size())); + std::copy(result.costs->begin(), result.costs->end(), costs.mutable_data()); py::detail::array_proxy(costs.ptr())->flags &= ~py::detail::npy_api::NPY_ARRAY_WRITEABLE_; slot->costs = std::move(costs); } - slot->dag = object_from(std::move(result->dag)); - if (result->target_cost.has_value() && *result->target_cost != kUnreachable) { - slot->target_cost = int_object(*result->target_cost); + slot->dag = object_from(std::move(result.dag)); + if (result.target_cost.has_value() && *result.target_cost != kUnreachable) { + slot->target_cost = int_object(*result.target_cost); } return std::move(obj); }, diff --git a/bindings/python/shortest_path_cache.cpp b/bindings/python/shortest_path_cache.cpp index bfd67a8..a4da871 100644 --- a/bindings/python/shortest_path_cache.cpp +++ b/bindings/python/shortest_path_cache.cpp @@ -8,6 +8,7 @@ #include "netgraph/core/shortest_path_cache.hpp" #include "netgraph/core/graph.hpp" #include "registration.hpp" +#include "native_call.hpp" #include "values.hpp" namespace py = pybind11; @@ -36,11 +37,11 @@ void register_shortest_path_cache(py::module_& m) { "(the root set, the direction, the Eligibility uid). It stores the full DAG and applies each\n" "caller's route choice afterwards, so the route choice is never cached. ShortestPaths policies and the\n" "evaluators read it.\n" - "Building mode (a new cache): one writer, no concurrent readers; a miss searches and inserts;\n" + "Building mode (a new cache): one exclusive lease per call; a miss searches and inserts;\n" "clear() empties it (the hit and miss counters persist), and values already handed out stay valid.\n" "Frozen mode (freeze()): read-only and shareable by every worker; a miss counts one miss and raises\n" - "ShortestPathCacheMiss; clear() raises ValueError; thaw() returns to building once the caller has joined\n" - "every reader.\n" + "ShortestPathCacheMiss; clear() raises ValueError; thaw() waits for active calls, then returns to building.\n" + "Lifecycle calls take exclusive FIFO admission and cannot be overtaken by later calls.\n" "When a public call fails: a building cache passed to it keeps the complete entries and statistics\n" "of the lookups that succeeded before the failure (never a partial entry; a kept entry never\n" "changes a result); a frozen cache's statistics stay unchanged, except one miss when the call\n" @@ -52,9 +53,9 @@ void register_shortest_path_cache(py::module_& m) { }), py::arg("graph"), "An empty cache in building mode, bound to graph (by its uid).") .def("graph_uid", &ShortestPathCache::graph_uid, "uid of the graph this cache is bound to") - .def("freeze", &ShortestPathCache::freeze, "enter frozen mode (no effect when frozen)") - .def("thaw", &ShortestPathCache::thaw, "return to building mode (no effect when building); join every reader first") - .def("clear", &ShortestPathCache::clear, "empty a building cache; ValueError when frozen") + .def("freeze", [](ShortestPathCache& cache) { native_call([&] { cache.freeze(); }); }, "wait for active calls and enter frozen mode (no effect when frozen)") + .def("thaw", [](ShortestPathCache& cache) { native_call([&] { cache.thaw(); }); }, "wait for active calls and return to building mode (no effect when building)") + .def("clear", [](ShortestPathCache& cache) { native_call([&] { cache.clear(); }); }, "empty a building cache; ValueError when frozen") .def("stats", &ShortestPathCache::stats, "the current ShortestPathCacheStats (each field read atomically)"); } diff --git a/bindings/python/units.cpp b/bindings/python/units.cpp index 9f2dc63..0bf6e00 100644 --- a/bindings/python/units.cpp +++ b/bindings/python/units.cpp @@ -3,6 +3,7 @@ #include #include +#include #include #include #include @@ -10,9 +11,11 @@ #include #include "netgraph/core/graph.hpp" +#include "netgraph/core/detail/unit_conversion.hpp" #include "integers.hpp" #include "strict_float.hpp" #include "values.hpp" +#include "native_call.hpp" #include "registration.hpp" namespace py = pybind11; @@ -247,13 +250,24 @@ void register_units(py::module_& m) { m.def( "to_units", [](const py::object& x, StrictFloat resolution) -> py::object { - (void)resolution_exponent(resolution); // before the shape: an empty array is no exemption + const int k = resolution_exponent(resolution); // before the shape: an empty array is no exemption const PhysicalValues v = physical_values(x); if (v.scalar) return int_object(to_units(v.values[0], resolution)); - py::array_t out(static_cast(v.values.size())); - auto o = out.mutable_unchecked<1>(); - for (std::size_t i = 0; i < v.values.size(); ++i) o(static_cast(i)) = to_units(v.values[i], resolution); - return std::move(out); + // At this scale the nearest double below 2^62 is hundreds of units + // away: rounding cannot cross the boundary. Validate with the physical + // bound, then leave the scaling/rounding kernel to the detached phase. + const double limit = 4611686018427387904.0 * static_cast(resolution); + for (double x : v.values) { + if (!(x >= 0.0 && x < limit)) (void)to_units(x, resolution); + } + auto result = native_call([&] { + std::vector values(v.values.size()); + for (std::size_t i = 0; i < v.values.size(); ++i) { + values[i] = static_cast(detail::rounded_units(v.values[i], k)); + } + return values; + }); + return int64_array(result); }, py::arg("x"), py::arg("resolution"), "Physical value(s) to units of the resolution q, rounding half up: an int for a scalar, an\n" @@ -272,12 +286,19 @@ void register_units(py::module_& m) { // A sequence, a NumPy array of any rank included: wide_integers refuses a rank other than 1. if (!is_invalid_sequence(x)) { const auto v = wide_integers(x, "as_float: x"); - py::array_t out(static_cast(v.size())); - auto o = out.mutable_unchecked<1>(); + std::vector values(v.size()); + // Arbitrary Python integer arithmetic remains attached; the ordinary + // fixed-width conversion loop works only on the copied native values. for (std::size_t i = 0; i < v.size(); ++i) { - o(static_cast(i)) = v.sign(i) == 0 ? as_float(v.value[i], resolution) - : amount_as_float(v.source[py::int_(i)], k, resolution); + if (v.sign(i) != 0) values[i] = amount_as_float(v.source[py::int_(i)], k, resolution); } + native_call([&] { + for (std::size_t i = 0; i < v.size(); ++i) { + if (v.sign(i) == 0) values[i] = detail::scaled_units(v.value[i], k); + } + }); + py::array_t out(static_cast(values.size())); + std::copy(values.begin(), values.end(), out.mutable_data()); return std::move(out); } return py::float_(amount_as_float(x, k, resolution)); diff --git a/dev/cpp-tests.sh b/dev/cpp-tests.sh index 4a3240e..3b4a894 100644 --- a/dev/cpp-tests.sh +++ b/dev/cpp-tests.sh @@ -27,6 +27,21 @@ cd "$(dirname "${BASH_SOURCE[0]}")/.." # compares (see flow_policy_fixture_tests.cpp's header). EXPECTED_OFF_SKIPS=" ApplyActions.ForwardingSizesCountEveryParticipant +Concurrency.CacheLifecycleCannotBeOvertaken +Concurrency.FailedAdmissionLeavesNoQueuedNodeOrLease +Concurrency.LedgerReadsWaitAtTheSameGate +Concurrency.PolicyReadinessFollowsEngineInstallation +Concurrency.GateCoversExchangeAndEveryEpoch +Concurrency.FailureBeforePublicationReleasesTheGate +Concurrency.LowestWorkerFailureWins +Concurrency.PartialThreadLaunchJoinsAndReleasesLease +Concurrency.TunnelRosterChecksRunInParallelBeforeAdmission +Concurrency.TunnelPreflightReportsTheLowestErrorBeforeLaterChecks +Concurrency.TunnelPreflightJoinsAfterPartialLaunchFailure +Concurrency.NativeArgumentsAreCopiedBeforeWaiting +Concurrency.NativeEvaluatorInputsAreOwnedWhileQueued +Concurrency.NativeCacheRootsAreOwnedWhileQueued +Concurrency.FrozenTallyPublishesInsideTheLease DeadOccurrences.ForwardingSizesWithoutThem FlowCoreDeletion.CheckpointsEqualTheIterativeUpdate FlowCoreDeletion.RerunningTheFailedSearchAddsExactlyOneSearch diff --git a/dev/perf/README.md b/dev/perf/README.md index bfa194d..1814dde 100644 --- a/dev/perf/README.md +++ b/dev/perf/README.md @@ -325,7 +325,9 @@ failed. | `t2` | `t2.exact16.headroom`, `t2.exact16.cost`, `t2.upto256.headroom`, `t2.size.mesh` | T2 on the same fabric and demands: 16 tunnels per head with and without `prefer_headroom`, up to 256 with it; 16 tunnels for 10 heads on a 500-node mesh (2000 links, 5/8 to 8/8 free), sizing-dominated | | `msd` | `msd.loop` | the maximum-supported-demand bracket and bisection with a per-series DAG cache | | `ksp` | `ksp.fabric3_k8` | k = 8 shortest paths for 8 pairs | -| `cache` | `cache.cold`, `cache.warm` | ShortestPathCache series from a cleared / prepopulated cache | +| `cache` | `cache.cold`, `cache.warm`, `cache.frozen.reads` | 64 direct lookups from a cleared, prepopulated building, or prepopulated frozen cache | +| `concurrency` | `concurrency.place_zero`, `delivered`, `program`, `config` | 10,000 calls of one operation on a prepared one-link policy (capacity 16, cost 3, q=1, replace(4)); config is the immutable control | +| `concurrency` | `concurrency.two_ledgers_serial`, `concurrency.two_ledgers_parallel` | 32 evaluate(32) calls on each independent ledger; 384-node/2816-edge layered graph, q=1, capacity 64, two thread launches and joins in both modes | | `eligibility` | `eligibility.build_intersect` | 64 failure states built and intersected | | `construct` | the fourteen storage construction rows (`construct.wgrid256`, `fanout_clos`, `random1m_nat`, `random1m_scat`, `wide65k`, `k65536`, `k65537`, `star1m`, `sparse1m`, `empty1m`, `random65k_bprime`, `random65k_reversed`, `star1m_smallk`, `instar1m_smallk`) | the constructor on prepared input: many short rows, the sort fallback above 65,536 distinct costs and both sides of that limit, very long rows, mostly isolated nodes, an empty graph, input already in or reversed from edge-id order | | `spf` | the six storage search rows (`spf.to.{wgrid256,random1m,wide_fallback16k,width65536,width65537}`, `spf.full.random1m`) | 8 full searches each: the bucket queue, a large scattered graph, the heap, and both sides of the bucket-width limit 65,536 | @@ -335,6 +337,15 @@ sources are in `aba_rows.hpp`. The row names are fixed (the frozen inputs and ea name them): `proportional` and `prop` in a name mean the OPTIMIZED route allocation, and `lossy` means the EQUAL route allocation with LOSSY admission. +The tiny native operation rows use added time per call against the same row on the reference: +at most 0.1 microseconds for a gated call. The two direct-hit cache rows have the same +0.1-microsecond allowance per lookup; `cache.cold` keeps the ordinary 3% tolerance. The immutable +configuration control keeps the ordinary tolerance. For two ledgers compare candidate serial +against candidate parallel on identical work, with a speedup target of at least 1.5; both modes +include two thread launches/joins. These budgets are interpreted separately from the default +percentage verdict of `aba.py`. Correctness checks assert full delivery (one unit per head, +below every link's capacity) before accepting a time. + **The storage rows** exercise the graph's storage and construction. Every input comes from a generator in `aba_rows.hpp` (`storage_inputs()`) with fixed seeds, one random draw per statement, explicit costs and positive integral capacities. Their timed digests read only diff --git a/dev/perf/aba_api.hpp b/dev/perf/aba_api.hpp index 37304bb..e6d1f0f 100644 --- a/dev/perf/aba_api.hpp +++ b/dev/perf/aba_api.hpp @@ -48,6 +48,10 @@ #include "netgraph/core/detail/search_detail.hpp" #include +#include +#include +#include +#include #include #include #include @@ -920,6 +924,99 @@ inline std::uint64_t dag_cache_series(const Graph& g, const std::vector& ro return d.h; } +// One operation per row, 10,000 calls per iteration. Construction and preparation +// are untimed. The immutable config getter is the control for the gated getters. +enum class TinyOperation { PlaceZero, Delivered, Program, Config }; +struct TinyCalls { + std::shared_ptr graph; + nc::FlowLedger ledger; + nc::FlowPolicy policy; + TinyCalls() + : graph(std::make_shared(2, std::vector{0}, std::vector{1}, + std::vector{16}, std::vector{3}, 1.0)), + ledger(graph), policy(ledger, std::vector{0}, std::vector{1}, {}) { + const auto r = policy.replace(4); + if (r.delivered != 4 || !r.program || r.by_source.size() != 1 || r.by_source[0].delivered != 4 || + ledger.residual() != std::vector{12}) throw std::runtime_error("tiny fixture preparation failed"); + const auto zero = policy.place(0); + if (zero.call_delivered != 0 || zero.delivered != 4 || zero.requested != nc::Counter128{0, 4} || + zero.routes_changed || zero.weights_changed || zero.reservations_changed || zero.program != r.program || + zero.edge_flows || zero.residual || zero.plan) throw std::runtime_error("tiny zero-call result differs"); + } + std::uint64_t run(TinyOperation operation) { + std::uint64_t sum = 0; + for (int i = 0; i < 10000; ++i) { + switch (operation) { + case TinyOperation::PlaceZero: sum += static_cast(policy.place(0).delivered); break; + case TinyOperation::Delivered: sum += static_cast(policy.delivered()); break; + case TinyOperation::Program: sum += policy.program() != nullptr ? 1U : 0U; break; + case TinyOperation::Config: sum += policy.config().admission == nc::Admission::Lossless ? 1U : 0U; break; + } + } + return sum; + } +}; + +// Fixed layered graph, 32 heads, 32 destinations, 12 layers, eight outgoing links +// per nonterminal node. Offer 32 sends one unit per head; no link can receive more +// than 32, below every capacity 64, so every call must deliver all 32 units. +struct ParallelLedgers { + std::shared_ptr graph; + std::array, 2> ledgers; + std::array, 2> policies; + ParallelLedgers() { + std::vector source, destination; + std::vector capacity; + std::vector cost; + constexpr std::array offsets {0, 1, 3, 7, 11, 17, 23, 29}; + for (int layer = 0; layer < 11; ++layer) for (int head = 0; head < 32; ++head) for (int offset : offsets) { + source.push_back(layer * 32 + head); + destination.push_back((layer + 1) * 32 + (head + offset) % 32); + capacity.push_back(64); + cost.push_back(1 + (head * 17 + offset * 13 + layer) % 7); + } + graph = std::make_shared(384, source, destination, capacity, cost, 1.0); + std::vector heads, targets; + for (int i = 0; i < 32; ++i) { heads.push_back(i); targets.push_back(352 + i); } + for (std::size_t i = 0; i < 2; ++i) { + ledgers[i] = std::make_unique(graph); + policies[i] = std::make_unique(*ledgers[i], heads, targets, nc::FlowPolicyConfig{}); + const auto r = policies[i]->replace(32); + if (r.delivered != 32 || r.by_source.size() != 32) throw std::runtime_error("parallel fixture preparation failed"); + for (const auto& row : r.by_source) if (row.delivered != 1) throw std::runtime_error("parallel fixture source delivery differs"); + } + } + std::uint64_t run(bool parallel) { + std::array sums {}; + std::array errors {}; + auto worker = [&](std::size_t i) noexcept { + try { + for (int call = 0; call < 32; ++call) { + const auto r = policies[i]->evaluate(32); + if (r.delivered != 32 || r.call_delivered != 32 || r.delivery_delta != 0 || r.by_source.size() != 32) { + throw std::runtime_error("parallel evaluation differs"); + } + for (const auto& row : r.by_source) if (row.delivered != 1) throw std::runtime_error("parallel source delivery differs"); + sums[i] += static_cast(r.delivered); + } + } catch (...) { errors[i] = std::current_exception(); } + }; + std::array threads; + try { + for (std::size_t i = 0; i < 2; ++i) { + threads[i] = std::thread(worker, i); + if (!parallel) threads[i].join(); + } + } catch (...) { + for (auto& thread : threads) if (thread.joinable()) thread.join(); + throw; + } + for (auto& thread : threads) if (thread.joinable()) thread.join(); + for (const auto& error : errors) if (error) std::rethrow_exception(error); + return sums[0] + sums[1]; + } +}; + // K shortest paths: the FEWER_HOPS tie_break, every parallel edge. inline std::uint64_t ksp(const Graph& g, int src, int dst, int k) { const nc::KspOptions opts(k); diff --git a/dev/perf/aba_rows.hpp b/dev/perf/aba_rows.hpp index 2502b23..56c83b6 100644 --- a/dev/perf/aba_rows.hpp +++ b/dev/perf/aba_rows.hpp @@ -1183,6 +1183,34 @@ inline std::vector rows() { abaapi::eligibility_build_intersect(*g, common, {}); return Iter([g, states, common] { return abaapi::eligibility_build_intersect(*g, common, states); }); }}); + for (const auto& [name, operation] : std::array, 4>{{ + {"concurrency.place_zero", abaapi::TinyOperation::PlaceZero}, + {"concurrency.delivered", abaapi::TinyOperation::Delivered}, + {"concurrency.program", abaapi::TinyOperation::Program}, + {"concurrency.config", abaapi::TinyOperation::Config}}}) { + r.push_back({name, "concurrency", "10,000 calls of one operation on a prepared one-link LOSSLESS policy (4 of 16 units)", + [operation] { + auto fixture = std::make_shared(); + return Iter([fixture, operation] { return fixture->run(operation); }); + }}); + } + r.push_back({"cache.frozen.reads", "cache", "64 direct frozen-cache hits, Clos 64x32, same roots as cache.warm", + [] { + auto g = std::make_shared(abaapi::build(gen_clos(64, 32, 25))); + std::vector roots; + for (int i = 0; i < 64; ++i) roots.push_back(i); + (void)abaapi::dag_cache_series(*g, roots, true); + g->warm_cache->freeze(); + return Iter([g, roots] { return abaapi::dag_cache_series(*g, roots, true); }); + }}); + for (bool parallel : {false, true}) { + r.push_back({parallel ? "concurrency.two_ledgers_parallel" : "concurrency.two_ledgers_serial", "concurrency", + "Two independent ledgers, 32 evaluate(32) calls each; two thread launches/joins in both modes; layered graph 384 nodes/2816 edges", + [parallel] { + auto fixture = std::make_shared(); + return Iter([fixture, parallel] { return fixture->run(parallel); }); + }}); + } add_storage_rows(r); // the storage rows come last in the list return r; } diff --git a/dev/perf/test_tool.py b/dev/perf/test_tool.py index c3b1d7f..b152ae6 100644 --- a/dev/perf/test_tool.py +++ b/dev/perf/test_tool.py @@ -3121,7 +3121,7 @@ def test_list(self): self.assertEqual(proc.returncode, 0, proc.stderr) rows = aba.row_list(proc.stdout.encode(), "aba-list") real = {k: v for k, v in rows.items() if not k.startswith("test.")} - self.assertEqual(len(real), 70) + self.assertEqual(len(real), 77) sums = sha256sums(HERE / "queries") lists = {} for name in sums: @@ -3155,7 +3155,7 @@ def test_blocks(self): real = [row for row in listed if not row.startswith("test.")] with concurrent.futures.ThreadPoolExecutor(os.cpu_count() or 1) as pool: procs = list(pool.map(lambda row: self.harness("aba-run", row, "1"), real)) - self.assertEqual(len(procs), 70) + self.assertEqual(len(procs), 77) for row, proc in zip(real, procs, strict=True): self.assertEqual(proc.returncode, 0, (row, proc.stderr)) self.assertEqual( @@ -3181,6 +3181,21 @@ def digest(row): digest("batch.simultaneous.clos"), digest("batch.ordered.clos") ) + def test_concurrency_rows_have_fixed_work_and_equal_serial_results(self): + expected = { + "concurrency.place_zero": 40000, + "concurrency.delivered": 40000, + "concurrency.program": 10000, + "concurrency.config": 10000, + "concurrency.two_ledgers_serial": 2048, + "concurrency.two_ledgers_parallel": 2048, + } + for row, digest in expected.items(): + proc = self.harness("aba-run", row, "1") + self.assertEqual(proc.returncode, 0, (row, proc.stderr)) + result = aba.parse_block(proc.stdout.encode(), row, row) + self.assertEqual(result["digest"], f"{digest:016x}") + def test_memory_does_not_grow_with_the_count(self): # the per-iteration bookkeeping is allocated before the setup and does not grow: the # peak of a block of 2,000,000 iterations is that of a block of 1,000 (keeping every diff --git a/dev/pytest_guard.py b/dev/pytest_guard.py index d44ed70..e2d7b0b 100644 --- a/dev/pytest_guard.py +++ b/dev/pytest_guard.py @@ -3,7 +3,8 @@ python dev/pytest_guard.py on|off [PYTEST_ARGS...] -on: the extension carries the private hooks (the editable development build) and no test skips. +on: the extension carries the private hooks (the editable development build). On a GIL build +no test skips; on a free-threaded build exactly GIL_PROOF_SKIPS skip with reason GIL-proof-only. off: an installation without them (a wheel, or a build from the sdist), imported from outside the source tree, and exactly the tests that need a hook skip (EXPECTED_OFF_SKIPS, and every replay of the reference fixtures). A small plugin records the skipped node ids (tests, and modules @@ -14,6 +15,7 @@ import os import sys +import sysconfig from pathlib import Path ROOT = Path(__file__).resolve().parents[1] @@ -54,6 +56,9 @@ ), "tests/py/test_number_types.py::test_a_cold_conversion_raises_memory_error", "tests/py/test_native_allocation.py::test_allocation_hooks_preserve_exception_identity", + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[evaluate_pairs.t1]", + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[evaluate_pairs.t2]", + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[evaluate_pairs.t2_support]", ( "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[Eligibility.intersect]" ), @@ -245,6 +250,70 @@ "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[apply_actions.simultaneous]" ), ] +# Every new hooks-only node is explicit; a module-level skip cannot hide a public race. +EXPECTED_OFF_SKIPS += [ + "tests/py/test_concurrency.py::test_conversions_run_before_native_locks", + "tests/py/test_concurrency.py::test_batch_first_pass_uses_one_detach_and_no_computation_event", + "tests/py/test_concurrency.py::test_inputs_are_copied_before_native_work", + "tests/py/test_concurrency.py::test_options_snapshot_at_entry", + "tests/py/test_concurrency.py::test_initializing_policy_is_not_exposed", + "tests/py/test_concurrency.py::test_native_phase_allows_heartbeat", + "tests/py/test_concurrency.py::test_cache_before_gate_order", + "tests/py/test_concurrency.py::test_cached_policies_ignore_busy_original_cache", + "tests/py/test_concurrency.py::test_record_and_workers_do_not_deadlock", + "tests/py/test_concurrency.py::test_same_ledger_calls_serialize", + "tests/py/test_concurrency.py::test_every_ledger_reader_waits_without_gil", + "tests/py/test_concurrency.py::test_immutable_readers_do_not_wait", + "tests/py/test_concurrency.py::test_two_ledgers_enter_together", + "tests/py/test_concurrency.py::test_full_calls_and_reads_serialize", + "tests/py/test_concurrency.py::test_list_publication_is_atomic", + "tests/py/test_concurrency.py::test_reservations_and_program_are_atomic", + "tests/py/test_concurrency.py::test_building_cache_serializes_native_calls", + "tests/py/test_concurrency.py::test_frozen_cache_allows_overlapping_calls", + "tests/py/test_concurrency.py::test_cache_fifo_admission", + "tests/py/test_concurrency.py::test_workers_borrow_outer_lease", + "tests/py/test_concurrency.py::test_failed_waiter_unblocks_lifecycle", + "tests/py/test_concurrency.py::test_worker_validation_uses_leased_mode", + "tests/py/test_concurrency.py::test_frozen_tally_finishes_before_lifecycle", + "tests/py/test_concurrency.py::test_cache_lifetime_is_pinned_during_wait", + "tests/py/test_concurrency.py::test_policy_destructor_cannot_deadlock", + "tests/py/test_concurrency.py::test_waiters_pin_every_dependency", + "tests/py/test_concurrency.py::test_identity_order_is_a_serial_order", + "tests/py/test_concurrency.py::test_bind_copy_reset_races", + "tests/py/test_concurrency.py::test_failed_acquisition_releases_waiters", + "tests/py/test_concurrency.py::test_lowest_worker_exception_survives_overlap", + "tests/py/test_concurrency.py::test_failure_does_not_strand_waiters", + "tests/py/test_concurrency.py::test_zero_empty_and_masked_calls", + "tests/py/test_concurrency.py::test_immutable_native_operations_overlap_heartbeat", + "tests/py/test_concurrency.py::test_trace_conversion_is_separate_read", + "tests/py/test_getter_allocation.py::test_native_trace_conversion_allocation_failures", + "tests/py/test_getter_allocation.py::test_policy_shell_native_failures_leave_no_binding", + "tests/py/test_concurrency.py::test_daemon_exit_releases_native_resources", + "tests/py/test_concurrency.py::test_every_program_representation_uses_the_transaction_gate", + "tests/py/test_contract_examples.py::test_contract_example[F-publication-locked]", + "tests/py/test_contract_examples.py::test_contract_example[F-publication-unlocked]", + "tests/py/test_contract_examples.py::test_contract_example[F-publish-result-first]", + "tests/py/test_contract_examples.py::test_contract_example[F-publish-result-after]", + "tests/py/test_contract_examples.py::test_contract_example[F-read-result-failure]", + "tests/py/test_contract_examples.py::test_contract_example[F-read-result-under-gate]", + "tests/py/test_contract_examples.py::test_contract_example[F-frozen-hits]", + "tests/py/test_contract_examples.py::test_contract_example[F-frozen-hits-after-lease]", + "tests/py/test_contract_examples.py::test_contract_example[LIST-state-second]", +] +GIL_PROOF_SKIPS = { + "tests/py/test_concurrency.py::test_native_phase_allows_heartbeat", + "tests/py/test_concurrency.py::test_immutable_native_operations_overlap_heartbeat", +} +CONCURRENCY_PUBLIC = { + "tests/py/test_concurrency_public.py::test_shared_policy_increments", + "tests/py/test_concurrency_public.py::test_replacements_replay_by_flow_id", + "tests/py/test_concurrency_public.py::test_independent_ledgers", + "tests/py/test_concurrency_public.py::test_immutable_configuration_and_snapshots", + "tests/py/test_concurrency_public.py::test_cache_lifecycle_and_retained_values", + "tests/py/test_concurrency_public.py::test_public_policy_teardown", + "tests/py/test_concurrency_public.py::test_final_policy_rejects_swallowed_constructor_error", + "tests/py/test_contract_examples.py::test_contract_example[CALL-state-second]", +} EXPECTED_OFF_SKIPPED_PREFIX = "tests/py/test_flow_policy_fixtures.py::test_fixture[" @@ -270,10 +339,30 @@ def pytest_collectreport(self, report): self.skip(report) -def problems(hooks, has_hooks, modules, seen, skipped, root=ROOT): +def problems( + hooks, + has_hooks, + modules, + seen, + skipped, + root=ROOT, + *, + free_threaded=False, + runtime_gil=None, + require_concurrency=False, +): """The checks of one run (hooks: "on" or "off"; modules: the files of _netgraph_core and netgraph_core as imported, None when not imported); returns the problems found.""" out = [] + if runtime_gil is not None and runtime_gil == free_threaded: + out.append( + "Python ABI/runtime mismatch: free-threaded ABI must run without the GIL" + ) + if require_concurrency: + out += [ + f"required public concurrency test did not run: {node}" + for node in sorted(CONCURRENCY_PUBLIC - seen) + ] if None in modules: out.append(f"netgraph_core or _netgraph_core was not imported: {modules}") if hooks == "on": @@ -281,10 +370,25 @@ def problems(hooks, has_hooks, modules, seen, skipped, root=ROOT): out.append( "the extension lacks the private hooks (expected the editable build)" ) - if skipped: + allowed = GIL_PROOF_SKIPS if free_threaded else set() + if not free_threaded and skipped: out.append( f"{len(skipped)} tests skipped in a hooks-on run: {sorted(skipped)}" ) + elif free_threaded: + out += [ + f"expected GIL-only skip did not occur: {n}" + for n in sorted(allowed - set(skipped)) + ] + out += [ + f"unexpected skip in free-threaded hooks-on run: {n}" + for n in sorted(set(skipped) - allowed) + ] + out += [ + f"wrong GIL-only skip reason: {n}: {reason}" + for n, reason in sorted(skipped.items()) + if n in allowed and "GIL-proof-only" not in reason + ] return out if has_hooks: out.append( @@ -308,6 +412,7 @@ def problems(hooks, has_hooks, modules, seen, skipped, root=ROOT): f"skipped for another reason: {n}: {r}" for n, r in sorted(skipped.items()) if "needs the private hooks" not in r + and not (free_threaded and n in GIL_PROOF_SKIPS and "GIL-proof-only" in r) ] return out @@ -333,6 +438,13 @@ def main(argv): modules, record.seen, record.skipped, + free_threaded=bool(sysconfig.get_config_var("Py_GIL_DISABLED")), + runtime_gil=getattr(sys, "_is_gil_enabled", lambda: True)(), + require_concurrency=( + not any(not arg.startswith("-") for arg in argv[1:]) + or any(node.startswith("tests/py/") for node in record.seen) + ) + and not any("::" in arg or arg.endswith(".py") for arg in argv[1:]), ) for p in found: print(f"dev/pytest_guard.py: {p}", file=sys.stderr) @@ -344,7 +456,9 @@ def main(argv): f" imported {modules[0]}" ) else: - print(f"hooks on: no test skipped; imported {modules[0]}") + print( + f"hooks on: {len(record.skipped)} exact build-specific skips; imported {modules[0]}" + ) return 0 diff --git a/dev/run-checks.sh b/dev/run-checks.sh index a778d5d..b1ec515 100755 --- a/dev/run-checks.sh +++ b/dev/run-checks.sh @@ -4,7 +4,8 @@ # # bash dev/run-checks.sh pytest on [PYTEST_ARGS...] # The Python suite against the netgraph_core that $PYTHON imports, which must carry the -# private hooks (the editable development build): no test may skip. (make check-ci) +# private hooks (the editable development build): no test may skip on a GIL build; +# only the GIL-proof tests skip on a free-threaded build. (make check-ci) # bash dev/run-checks.sh pytest off [PYTEST_ARGS...] # The Python suite against an installed, non-editable netgraph_core without the hooks (a # wheel, or a build from the sdist): exactly the tests that need a hook skip, listed in diff --git a/dev/stubs/generate.py b/dev/stubs/generate.py index 0d1e3d1..86ce127 100644 --- a/dev/stubs/generate.py +++ b/dev/stubs/generate.py @@ -23,6 +23,8 @@ 5. The module's positional-only parameters (``/`` in its signatures, which pybind11-stubgen 3.0.0 drops) are positional-only in the stub too, wherever a parameter other than the receiver is affected (the enums' comparison operand and ``__setstate__``'s state). + Native classes that refuse subclassing (their CPython type has no BASETYPE flag) + carry ``@typing.final``; this is read from the installed class, not an override. 6. ruff (pinned) formats the result; ``--write`` writes it, ``--check`` compares it with the committed stub and prints the difference. @@ -472,6 +474,17 @@ def scan(body: list[ast.stmt], owner: str) -> None: ) +def apply_final_classes(classes: dict[str, ast.ClassDef], pkg) -> None: + # Py_TPFLAGS_BASETYPE is CPython's public flag for whether a type can be + # subclassed. Read it without creating classes or running __init_subclass__. + base_type = 1 << 10 + for name, node in classes.items(): + runtime = getattr(pkg, name) + if not runtime.__flags__ & base_type: + if not any(ast.unparse(d) == "typing.final" for d in node.decorator_list): + node.decorator_list.append(ast.parse("typing.final", mode="eval").body) + + def build_stub(raw: str, pkg) -> str: raw_lines = raw.splitlines() tree = ast.parse(raw) @@ -523,6 +536,7 @@ def build_stub(raw: str, pkg) -> str: raise Failure(f"overrides without a generated declaration: {unused}") check_markers(classes, pkg) apply_positional_only(decls, pkg) + apply_final_classes(classes, pkg) doc = ast.Expr(ast.Constant(inspect.cleandoc(pkg.__doc__ or ""))) body: list[ast.stmt] = ast.parse(f"__all__: list[str] = {exported!r}").body diff --git a/dev/stubs/overrides.pyi b/dev/stubs/overrides.pyi index f5a52e1..59ec461 100644 --- a/dev/stubs/overrides.pyi +++ b/dev/stubs/overrides.pyi @@ -771,7 +771,7 @@ def as_float( ) -> float: ... # reason: pairs of node sets, each pair a length-2 sequence (sources, destinations), an integer array included (so pairs may be an integer array of shape (k, 2), or (k, 2, m) for sets of m nodes); options is EvaluationOptions; per_pair_eligibility has one Eligibility or None per pair; workers is an integer or None; one PlacementResult per pair -# generated: def evaluate_pairs(graph: Graph, pairs: typing.Any, options: typing.Any, per_pair_eligibility: typing.Any = None, workers: typing.Any = None) -> typing.Any: +# generated: def evaluate_pairs(graph: Graph, pairs: typing.Any, options: typing.Any, per_pair_eligibility: typing.Any = None, workers: typing.Any = None) -> list: def evaluate_pairs( graph: Graph, pairs: collections.abc.Sequence[ diff --git a/dev/stubs/test_generate.py b/dev/stubs/test_generate.py index 9eab5de..7c50ee3 100644 --- a/dev/stubs/test_generate.py +++ b/dev/stubs/test_generate.py @@ -14,6 +14,7 @@ from __future__ import annotations +import ast import contextlib import io import os @@ -29,6 +30,24 @@ import generate + +class FinalClasses(unittest.TestCase): + def test_only_native_final_types_are_marked(self): + class Open: + pass + + package = types.SimpleNamespace(Final=bool, Open=Open) + nodes = ast.parse("class Final: pass\nclass Open: pass").body + generate.apply_final_classes({node.name: node for node in nodes}, package) + self.assertEqual( + [ast.unparse(d) for d in nodes[0].decorator_list], ["typing.final"] + ) + self.assertEqual(nodes[1].decorator_list, []) + with self.assertRaises(TypeError): + type("Forbidden", (bool,), {}) + self.assertTrue(issubclass(type("Allowed", (Open,), {}), Open)) + + RAW = '''"""raw""" from __future__ import annotations import typing diff --git a/dev/test_pytest_guard.py b/dev/test_pytest_guard.py index 0af9d15..e945ca9 100644 --- a/dev/test_pytest_guard.py +++ b/dev/test_pytest_guard.py @@ -41,6 +41,40 @@ def off_run(**change): class Checks(unittest.TestCase): + def test_free_threaded_skip_policy_and_public_population(self): + record = dict( + has_hooks=True, + modules=OUTSIDE, + seen=set(guard.CONCURRENCY_PUBLIC) | guard.GIL_PROOF_SKIPS, + skipped={n: "Skipped: GIL-proof-only" for n in guard.GIL_PROOF_SKIPS}, + free_threaded=True, + runtime_gil=False, + require_concurrency=True, + ) + self.assertEqual(guard.problems("on", **record), []) + broken = dict( + record, seen=record["seen"] - {next(iter(guard.CONCURRENCY_PUBLIC))} + ) + self.assertTrue( + any("required public" in p for p in guard.problems("on", **broken)) + ) + self.assertTrue(guard.problems("on", **dict(record, runtime_gil=True))) + self.assertTrue(guard.problems("on", **dict(record, skipped={}))) + wrong_reason = {n: REASON for n in guard.GIL_PROOF_SKIPS} + self.assertTrue(guard.problems("on", **dict(record, skipped=wrong_reason))) + unknown = dict(record["skipped"], unknown="Skipped: GIL-proof-only") + self.assertTrue(guard.problems("on", **dict(record, skipped=unknown))) + + def test_free_threaded_hooks_off_still_runs_public_races(self): + record = off_run() + record["seen"] |= guard.CONCURRENCY_PUBLIC + record.update(free_threaded=True, runtime_gil=False, require_concurrency=True) + for node in guard.GIL_PROOF_SKIPS: + record["skipped"][node] = "Skipped: GIL-proof-only" + self.assertEqual(guard.problems("off", **record), []) + record["skipped"][next(iter(guard.CONCURRENCY_PUBLIC))] = REASON + self.assertTrue(guard.problems("off", **record)) + def test_hooks_on(self): ok = dict(has_hooks=True, modules=OUTSIDE, seen={"a"}, skipped={}) self.assertEqual(guard.problems("on", **ok), []) diff --git a/docs/semantics.md b/docs/semantics.md index 7cc1b77..bbafe29 100644 --- a/docs/semantics.md +++ b/docs/semantics.md @@ -2020,11 +2020,12 @@ raises `TypeError` when the action is built), and the call checks their domain. `actions must be a sequence of Place, Replace or Forward (got )`, `actions[] must be a Place, Replace or Forward (got )`, `mode must be a BatchMode (got )`, `outputs must be an OutputOptions (got )`); the mode's value (`mode: is not a value of BatchMode`); an - empty list returns `[]`; then each action in list order, all of its checks before the next - action's: `list policy belongs to another ledger`, `duplicate policy in list`, the SIMULTANEOUS + empty list checks ledger usability under the gate before returning `[]`. Each action's + argument checks run in list order: `list policy belongs to another ledger`, `duplicate policy in list`, the SIMULTANEOUS rules (`SIMULTANEOUS does not accept Place`, `SIMULTANEOUS Replace requires ShortestPaths EQUAL or WEIGHTED, or Pinned`, `SIMULTANEOUS requires admission=LOSSY`, `SIMULTANEOUS requires finite - offers`), then the scalar call's own checks in their order. Only then is anything computed. An + offers`), then the scalar call's argument checks. After all actions pass, check ledger usability + and every action's mutable state under the gate, in list order. Only then compute anything. An error of the computation (a loss cycle that does not settle, a solver or forwarding size limit, an allocation failure) publishes nothing. @@ -2066,7 +2067,8 @@ is full. **In plain words.** A call either does everything or changes nothing: if it fails, for any reason, every ledger, policy and cache is as it was and you get one exception. There are two stated exceptions to this, described below. Immutable values can be shared freely between -threads; ledgers, policies and building caches have one writer at a time. +threads. Calls on one ledger serialize; different ledgers run in parallel. Cache leases serialize +building calls and admit frozen readers together. **Exact rules.** @@ -2095,10 +2097,35 @@ threads; ledgers, policies and building caches have one writer at a time. partial entry, every value it handed out stays valid, and a kept entry never changes any later result. A failed lookup counts one miss. A frozen cache never changes its entries; a failed call changes none of its statistics, except one miss when the call raised `ShortestPathCacheMiss`. -- **Threads.** `Graph`, `Eligibility`, `PredecessorDAG`, `Path` and a frozen `ShortestPathCache` may be shared - by any number of threads. A `FlowLedger`, a `FlowPolicy` and a building `ShortestPathCache` have one - writer and no concurrent readers. An array lent to a call (a residual) must not change during - the call. +- **Threads and the GIL.** Each ledger has one native gate protecting its projections and every + bound policy, including reads, lists, removal and policy destruction. Calls on one ledger take + effect one at a time; different ledgers can compute in parallel. Native work releases the GIL, + including policy calls, searches, factories and array conversions. Immutable reads keep the GIL + and take no gate: graph, mask, route, program, configuration and result fields, `policy.config`, + cache `graph_uid()` and `stats()`. Each statistics field is read atomically, without promising a + consistent snapshot of all fields. +- **Call phases.** Convert and copy inputs, pin dependencies and check every argument and immutable + object in the first pass's order. Python conversions and protocols keep the GIL; linear checks of + a just-converted argument may keep it too. Native checks that grow with the graph release it, + before any lease or gate: the tunnel-limit roster search in policy construction and the evaluators + (once per pair in a batch), and `from_routes`' walk of each supplied PredecessorDAG. `evaluate_pairs`' + workers and the other evaluators' main evaluation reuse the checked rosters; each deletion of + `evaluate_edge_failures` searches under its own mask. Publishing calls also allocate and register their fixed Python + results here: a policy, a `PlacementResult`, a list of n results, or a `SensitivityResult`. + Release the GIL, acquire at most one cache lease, then the ledger gate. Check mutable state, + compute privately, join workers and publish without allocation or failure. Frozen hits publish + last, inside the lease. Release every gate and lease before reacquiring the GIL to return or + translate an exception. Reads, searches and factories wrap their owned native snapshots after + unlocking. Python conversions and protocols execute with no native lock held. +- **Validation passes.** In the documented validation order, all argument and immutable checks + precede all mutable-state checks. Thus an invalid offer or foreign black holes precede + `forward requires an installed program`; a later invalid list action precedes an earlier + action's epoch error. Installed programs, finite `place` calls after infinity, requested limits, + cache mode, ledger usability and identity availability are checked under the gate or lease, + in their documented order, action by action. No list action computes before both passes finish. +- **Free-threaded Python.** The cp314t build supports the same concurrency rules. It detaches its + Python thread state before waiting for a gate or lease. Step-one conversion still copies every + borrowed array; changing an argument concurrently with its conversion remains a caller race. - **Lifetimes.** The graph outlives the ledger, the ledger outlives its policies; Python keeps the graph, ledger, Eligibility and cache alive while a policy needs them. - **Immutable values.** The configuration values (`FlowPolicyConfig`, the four models, @@ -2178,8 +2205,9 @@ error). `HIGHER_HEADROOM` from the residual at that moment and `HIGHER_CAPACITY` from static capacities. Because the cached DAG keeps every equal-cost parallel member, a member that a static choice would have dropped is still available when its residual makes it the right one. -- **Who reads it.** `ShortestPaths` policies read the cache (keyed by their destination set, - reverse direction, and Eligibility uid); so do the evaluators when they run a `ShortestPaths` +- **Who reads it.** `ShortestPaths` policy construction reads the cache (keyed by its destination + set, reverse direction, and Eligibility uid) and retains the support DAG. Later scalar calls and + lists use that retained support without a cache lease. The evaluators read their supplied cache when they run a `ShortestPaths` configuration. The other models do not read it and reject a supplied cache (`ValueError`, for example `CentralizedTE does not use ShortestPathCache`), as the last check of the model matrix. @@ -2189,9 +2217,14 @@ error). | lookup miss | searches, inserts, returns | raises `ShortestPathCacheMiss` | | `freeze()` | becomes frozen | no effect | | `clear()` | empties the cache; hit and miss counters persist | `ValueError` | -| `thaw()` | no effect | becomes building; join every reader first | -| destruction | allowed | allowed after joining every reader; values already handed out stay valid | - +| `thaw()` | no effect | waits for active calls, then becomes building | +| destruction | callers keep it alive during calls | callers keep it alive during calls; returned values stay valid | + +- **Leases.** Each building call owns one exclusive lease for its whole computation; frozen + calls own shared leases. `freeze()`, `thaw()` and `clear()` take exclusive admission and wait + for active calls. Admission is FIFO: a queued lifecycle call cannot be overtaken by later + builders or readers. Evaluator workers borrow their outer call's lease and never acquire it + again. The cache lease precedes any ledger gate. - **Statistics.** `stats()` returns `hits`, `misses`, `entries`, `bytes` (the entries' retained arrays, without container overhead) and `live_values` (values alive anywhere, cache entries included). Each field is atomic; together they are not one consistent snapshot. An invalid @@ -2285,14 +2318,13 @@ on a ledger with that load. order. Nothing is shared between pairs (no reservations, no capacity): the results are independent capacities, not allocations that coexist; demands that share capacity are policies on one ledger. Pair `i` uses `options.eligibility` intersected with `per_pair_eligibility[i]` - (entries may be `None`; a given list has one entry per pair). Everything is validated before any - worker starts: first the arguments (the worker count, the graph of `options.eligibility` and of - the cache, the cache rule, `Pinned`, which is rejected because a program fixes its endpoints - (`evaluate_pairs does not accept Pinned`), the configuration, the offer and design rules above, - then the length of `per_pair_eligibility`), then each pair completely (its endpoint sets, their - overlap, its Eligibility's graph, the pooled single-path rule of [section 7](#configuration) and - T2's several-sources rule for its sources) in pair order, so the error of the lowest failing - pair is the one raised. An empty batch returns `[]`. + (entries may be `None`; a given list has one entry per pair). All checks finish before evaluation workers start: first the arguments (the worker count, the graph of `options.eligibility` and + of the cache, `Pinned`, which is rejected because a program fixes its endpoints (`evaluate_pairs does not accept + Pinned`), the configuration, the offer and design rules above, then the length of `per_pair_eligibility`), then each + pair completely (its endpoint sets, their overlap, its Eligibility's graph, the pooled single-path rule of + [section 7](#configuration), T2's several-sources rule and, for the tunnel models, the tunnel limit for its sources) + in pair order, so the error of the lowest failing pair is the one raised. A supplied building cache's + `workers == 1` rule reads the cache's mode and comes last, under the cache's lease. An empty batch returns `[]`. - **`evaluate_edge_failures(graph, sources, destinations, options, workers=None)`** returns a `SensitivityResult`: `baseline` (the result of `evaluate_demand`, with the requested outputs) and `entries`, one `SensitivityEntry(edge, delivery_reduction)` per candidate edge, in ascending diff --git a/include/netgraph/core/detail/cache_access.hpp b/include/netgraph/core/detail/cache_access.hpp index ccb70a4..255282c 100644 --- a/include/netgraph/core/detail/cache_access.hpp +++ b/include/netgraph/core/detail/cache_access.hpp @@ -5,11 +5,13 @@ #include #include #include +#include #include #include #include #include "netgraph/core/shortest_path_cache.hpp" +#include "netgraph/core/detail/cache_gate.hpp" namespace netgraph::core::detail { @@ -17,7 +19,11 @@ class FrozenCacheHitTally; struct DagCacheAccess { // Whether the cache is frozen (a frozen cache may be shared by every worker). - [[nodiscard]] static bool frozen(const ShortestPathCache& cache) noexcept { return cache.frozen_; } + [[nodiscard]] static bool frozen(const ShortestPathCache& cache) noexcept { return cache.gate_->frozen(); } + [[nodiscard]] static CacheGate& gate(ShortestPathCache& cache) noexcept { return *cache.gate_; } + // Only for a worker's own building cache, never a caller-supplied cache. Its + // owner is the sole accessing thread; no worker enrolls a lifecycle lease. + static void clear_private(ShortestPathCache& cache) noexcept { cache.clear_contents(); } // A lookup inside a public call (FrozenCacheHitTally): a frozen hit is recorded in `tally` instead of // the cache, a frozen miss is counted by the call's boundary (frozen_call); a building cache // counts at once, as ShortestPathCache::lookup does. @@ -33,7 +39,8 @@ struct DagCacheAccess { }; // Collect one public call's frozen-cache hits here; publish them only after all fallible work, -// including the Python result, succeeds. Failure discards the hits, except that ShortestPathCacheMiss +// succeeds. Publishing Python calls allocate their result shells before taking the lease. +// Failure discards the hits, except that ShortestPathCacheMiss // records one miss regardless of its workers' lookups. A building cache keeps its statistics // even on failure. Workers share this call's atomic tally; separate calls have separate // tallies, so concurrent successful calls keep all their increments. @@ -62,17 +69,20 @@ class FrozenCacheHitTally { }; // Runs body(tally) as one public call on `cache` (the supplied cache, or null): publishes the -// recorded hits once body has returned (its last failing step: body builds the call's result, -// the Python object included) and returns body's value, which then moves without failing; when +// recorded hits once the native body has returned, while its lease is still held. Python +// result shells already exist; body fills their native values. Its return value moves without failing; when // body throws, nothing is published, except one miss for a ShortestPathCacheMiss. template auto frozen_call(ShortestPathCache* cache, Body&& body) -> decltype(std::forward(body)(std::declval())) { using Result = decltype(std::forward(body)(std::declval())); static_assert(std::is_nothrow_move_constructible_v, "the result moves out after the publication"); FrozenCacheHitTally tally(cache); + std::optional lease; + if (cache != nullptr) lease.emplace(DagCacheAccess::gate(*cache)); try { Result result = std::forward(body)(tally); tally.publish(); + publication_event(ConcurrentStage::CacheTallyComplete, cache); return result; } catch (const ShortestPathCacheMiss&) { tally.miss(); diff --git a/include/netgraph/core/detail/cache_gate.hpp b/include/netgraph/core/detail/cache_gate.hpp new file mode 100644 index 0000000..ea14faa --- /dev/null +++ b/include/netgraph/core/detail/cache_gate.hpp @@ -0,0 +1,108 @@ +/* FIFO admission for one cache. A call owns one shared (frozen) or exclusive (building) + lease; lifecycle operations always request exclusive admission. Workers borrow the call's + lease instead of enrolling again. No Python code belongs in this machinery. */ +#pragma once + +#include +#include +#include + +#include "netgraph/core/detail/concurrency.hpp" + +namespace netgraph::core::detail { + +class CacheGate { + struct Waiter { + Waiter* next {nullptr}; + }; + +public: + CacheGate() = default; + CacheGate(const CacheGate&) = delete; + CacheGate& operator=(const CacheGate&) = delete; + + class Lease { + public: + explicit Lease(CacheGate& gate, bool lifecycle = false) : gate_(gate) { + Waiter waiter; + std::unique_lock lock(gate_.mutex_); + if (gate_.tail_ != nullptr) gate_.tail_->next = &waiter; + else gate_.head_ = &waiter; + gate_.tail_ = &waiter; + try { + concurrent_event(ConcurrentStage::CacheQueued, &gate_); + gate_.ready_.wait(lock, [&] { + if (gate_.head_ != &waiter || gate_.writer_) return false; + // The mode cannot change while a reader is active. A writer's mode change + // happens before it releases this same admission mutex in ~Lease(). + return (!lifecycle && gate_.frozen_) || gate_.readers_ == 0; + }); + } catch (...) { + // The waiting node belongs to this stack frame; it must never remain queued + // when wait throws. Removing it admits the next eligible prefix. + Waiter** link = &gate_.head_; + Waiter* previous = nullptr; + while (*link != &waiter) { + previous = *link; + link = &(*link)->next; + } + *link = waiter.next; + if (gate_.tail_ == &waiter) gate_.tail_ = previous; + gate_.ready_.notify_all(); + throw; + } + gate_.head_ = waiter.next; + if (gate_.head_ == nullptr) gate_.tail_ = nullptr; + exclusive_ = lifecycle || !gate_.frozen_; + if (exclusive_) gate_.writer_ = true; + else ++gate_.readers_; + // Consecutive frozen readers may enter together; a queued lifecycle request + // stops that prefix and cannot be overtaken by any later reader or builder. + gate_.ready_.notify_all(); + lock.unlock(); + try { + concurrent_event(ConcurrentStage::CacheAcquired, &gate_); + } catch (...) { + release(); + throw; + } + } + Lease(const Lease&) = delete; + Lease& operator=(const Lease&) = delete; + ~Lease() noexcept { release(); } + + private: + void release() noexcept { + const std::lock_guard lock(gate_.mutex_); + if (exclusive_) gate_.writer_ = false; + else --gate_.readers_; + gate_.ready_.notify_all(); + } + + CacheGate& gate_; + bool exclusive_ {false}; + }; + + // These mode accesses require the caller's lease. A shared lease permits only + // frozen(); setting the mode requires exclusive lifecycle admission. + [[nodiscard]] bool frozen() const noexcept { return frozen_; } + void freeze(bool frozen) noexcept { frozen_ = frozen; } + +#if NETGRAPH_CORE_PRIVATE_HOOKS + [[nodiscard]] bool has_waiters() { + const std::lock_guard lock(mutex_); + return head_ != nullptr || tail_ != nullptr; + } +#endif + +private: + std::mutex mutex_; + std::condition_variable ready_; + Waiter* head_ {nullptr}; + Waiter* tail_ {nullptr}; + std::size_t readers_ {0}; + bool writer_ {false}; + bool frozen_ {false}; +}; + +} // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/concurrency.hpp b/include/netgraph/core/detail/concurrency.hpp new file mode 100644 index 0000000..0e7fda7 --- /dev/null +++ b/include/netgraph/core/detail/concurrency.hpp @@ -0,0 +1,52 @@ +/* Native-only rendezvous and failure probes of a hooks build. The caller owns the + probe and its context; callbacks must never use Python or allocate at publication. */ +#pragma once + +#include "netgraph/core/detail/hooks_flag.hpp" + +namespace netgraph::core::detail { + +enum class ConcurrentStage { + LedgerWait, + LedgerAcquired, + CacheQueued, + CacheAcquired, + BeforePublication, + AfterLedgerExchange, + NativeComplete, + WorkerBegin, + ThreadLaunch, + NativeBegin, + CacheTallyComplete, + PolicyEngineInstalled, + TunnelRosterSearch, + RouteDefinitionCheck, + RouteWalk, + ArgumentBegin, + Count, +}; + +#if NETGRAPH_CORE_PRIVATE_HOOKS +struct ConcurrentProbe { + void (*notify)(void*, ConcurrentStage, const void*); + void* context; +}; +[[nodiscard]] const ConcurrentProbe* current_concurrent_probe() noexcept; +void set_concurrent_probe(const ConcurrentProbe* probe) noexcept; +struct ScopedConcurrentProbe { + const ConcurrentProbe* previous; + explicit ScopedConcurrentProbe(const ConcurrentProbe* probe) noexcept : previous(current_concurrent_probe()) { set_concurrent_probe(probe); } + ~ScopedConcurrentProbe() { set_concurrent_probe(previous); } +}; +void concurrent_event(ConcurrentStage stage, const void* object); +#else +inline void concurrent_event(ConcurrentStage, const void*) noexcept {} +#endif + +// Publication probes observe a no-fail tail. A throwing test observer is a broken +// observer, never an exception the public operation can translate after committing. +inline void publication_event(ConcurrentStage stage, const void* object) noexcept { + concurrent_event(stage, object); +} + +} // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/concurrency_models.hpp b/include/netgraph/core/detail/concurrency_models.hpp new file mode 100644 index 0000000..83db3dc --- /dev/null +++ b/include/netgraph/core/detail/concurrency_models.hpp @@ -0,0 +1,129 @@ +// Finite-state test controls. These models never disable synchronization in the +// library or create an unsynchronized native data race. +#pragma once + +#include +#include +#include +#include +#include +#include +#include + +namespace netgraph::core::detail { + +struct PublicationModelResult { + std::size_t states {0}, mixed {0}; +}; +inline PublicationModelResult publication_model(bool locked) { + // pc(writer), pc(reader), owner, load, reservation, program. + using State = std::array; + const State initial {0, 0, -1, 0, 0, 0}; + std::set visited; + std::vector pending {initial}; + PublicationModelResult out; + for (std::size_t n = 0; n < pending.size(); ++n) { + const auto current = pending[n]; + for (std::size_t thread = 0; thread < 2; ++thread) { + State next = current; + const int pc = current[thread]; + const int end = thread == 0 ? 5 : 3; + if (pc == end) continue; + if (pc == 0) { + if (locked && current[2] != -1) continue; + if (locked) next[2] = static_cast(thread); + } else if (pc == end - 1) { + if (locked) next[2] = -1; + } else if (thread == 0) { + next[static_cast(pc + 2)] = 6; + } else if (!(current[3] == current[4] && current[4] == current[5])) { + ++out.mixed; + } + ++next[thread]; + if (visited.insert(next).second) pending.push_back(next); + } + } + out.states = visited.size(); + return out; +} + +struct PhaseModelResult { + std::size_t states {0}, partial {0}, python_under_lock {0}, late_hits {0}; +}; +inline PhaseModelResult phase_model(std::string_view protocol) { + enum Op { Py, Gate, Ungate, Compute, Publish, Snapshot, Shared, Unshare, Lookup, Hits, Exclusive, Thaw, Unexclusive, Read }; + std::vector a; + if (protocol == "publish-result-first") a = {Py, Gate, Compute, Publish, Ungate}; + else if (protocol == "publish-result-after") a = {Gate, Compute, Publish, Ungate, Py}; + else if (protocol == "read-result-failure") a = {Gate, Snapshot, Ungate, Py}; + else if (protocol == "read-result-under-gate") a = {Gate, Snapshot, Py, Ungate}; + else if (protocol == "frozen-hits") a = {Py, Shared, Lookup, Lookup, Hits, Unshare}; + else if (protocol == "frozen-hits-after-lease") a = {Py, Shared, Lookup, Lookup, Unshare, Hits}; + else throw std::invalid_argument("unknown phase protocol"); + const std::vector b = std::find(a.begin(), a.end(), Shared) != a.end() + ? std::vector{Exclusive, Thaw, Unexclusive} : std::vector{Gate, Read, Ungate}; + // pc A/B, gate owner, exclusive owner, shared count, mode, ledger, + // published hits, private hits, failed, mode at lease acquisition. + using State = std::array; + const State initial {0, 0, -1, -1, 0, 0, 0, 0, 0, 0, -1}; + std::set seen {initial}; + std::vector pending {initial}; + PhaseModelResult out; + while (!pending.empty()) { + const State current = pending.back(); + pending.pop_back(); + bool advances = false; + auto enqueue = [&](const State& next) { + advances = true; + if (seen.insert(next).second) pending.push_back(next); + }; + for (std::size_t t = 0; t < 2; ++t) { + const auto& code = t == 0 ? a : b; + if (static_cast(current[t]) == code.size()) continue; + const Op op = code[static_cast(current[t])]; + State next = current; + ++next[t]; + switch (op) { + case Py: { + if (current[2] == 0 || current[4] > 0) ++out.python_under_lock; + enqueue(next); + next = current; + next[0] = static_cast(a.size()); + if (next[2] == 0) next[2] = -1; + next[4] = 0; + next[9] = 1; + enqueue(next); + break; + } + case Gate: + if (current[2] == -1) { next[2] = static_cast(t); enqueue(next); } + break; + case Ungate: next[2] = -1; enqueue(next); break; + case Shared: + if (current[3] == -1) { ++next[4]; next[10] = current[5]; enqueue(next); } + break; + case Unshare: --next[4]; enqueue(next); break; + case Publish: next[6] = 1; enqueue(next); break; + case Lookup: ++next[8]; enqueue(next); break; + case Hits: + if (current[5] != current[10]) ++out.late_hits; + next[7] += current[8]; next[8] = 0; enqueue(next); break; + case Exclusive: + if (current[3] == -1 && current[4] == 0) { next[3] = 1; enqueue(next); } + break; + case Unexclusive: next[3] = -1; enqueue(next); break; + case Thaw: next[5] = 1; enqueue(next); break; + case Compute: case Snapshot: case Read: enqueue(next); break; + } + } + if (!advances) { + if (static_cast(current[0]) != a.size() || static_cast(current[1]) != b.size()) { + throw std::logic_error("phase model deadlocked"); + } + if (current[9] != 0 && (current[6] != 0 || current[7] != 0)) ++out.partial; + } + } + out.states = seen.size(); + return out; +} +} // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/evaluator_checks.hpp b/include/netgraph/core/detail/evaluator_checks.hpp index 491e3ab..87dde8c 100644 --- a/include/netgraph/core/detail/evaluator_checks.hpp +++ b/include/netgraph/core/detail/evaluator_checks.hpp @@ -10,6 +10,7 @@ #include #include "netgraph/core/detail/cache_access.hpp" +#include "netgraph/core/detail/policy_engine.hpp" #include "netgraph/core/evaluators.hpp" #include "netgraph/core/graph.hpp" #include "netgraph/core/types.hpp" @@ -17,30 +18,43 @@ namespace netgraph::core::detail { // evaluate_pairs's validation in its two parts: the arguments (workers, foreign objects, the -// cache rule, Pinned, the configuration), then one pair (its endpoint sets, their overlap, its +// Pinned, the configuration), then one pair (its endpoint sets, their overlap, its // Eligibility's graph, the pooled single-path rule for its source count), the pairs in index -// order. +// order. Graph searches for the valid prefix run in one parallel native phase, +// before any later pair's check error is rethrown. Their rosters are reused by workers. void check_batch_arguments(const Graph& graph, const EvaluationOptions& options, std::int32_t workers); void check_batch_pair(const Graph& graph, const FlowPolicyConfig& config, std::span sources, std::span destinations, const Eligibility* eligibility, std::size_t index); +std::vector prepare_batch_rosters(const Graph& graph, + std::span, std::vector>> pairs, + const EvaluationOptions& options, std::span per_pair, std::int32_t workers, + ArgumentWork search = nullptr); +std::optional check_demand_arguments(const Graph& graph, std::span sources, + std::span destinations, const EvaluationOptions& options, ArgumentWork search = nullptr); +std::optional check_edge_failure_arguments(const Graph& graph, std::span sources, + std::span destinations, const EvaluationOptions& options, std::int32_t workers, ArgumentWork search = nullptr); // The evaluators' default worker count from the environment (NGRAPH_CORE_BATCH_THREADS for // evaluate_pairs, NGRAPH_CORE_SENSITIVITY_THREADS for evaluate_edge_failures): an integer in [1, 4096], // else 1. An explicit workers >= 1 is always honoured; the environment supplies defaults only. std::int32_t default_workers(bool edge_failures) noexcept; -// The evaluators inside a public call: as evaluate_demand, evaluate_pairs and evaluate_edge_failures, with a +// The evaluators inside a public call, after all argument/immutable checks above and with the +// supplied cache's lease held: as evaluate_demand, evaluate_pairs and evaluate_edge_failures, with a // supplied frozen cache's hits recorded in `tally` and nothing published. The public evaluators -// are frozen_call over these; the Python binding runs frozen_call over these and the construction -// of its result object, so the hits count only once that object exists. +// are frozen_call over these; the Python binding allocates its result shells first, then runs +// frozen_call over these and fills the shells' native values before the hits are published. +// A nonempty roster span has one checked tunnel roster per pair, for the same +// config/endpoints/effective mask. It lives through every worker join; a single +// roster pointer applies only to the matching demand or evaluate_edge_failures baseline. PlacementResult evaluate_demand_in_call(const Graph& graph, std::span sources, - std::span destinations, const EvaluationOptions& options, FrozenCacheHitTally& tally); + std::span destinations, const EvaluationOptions& options, FrozenCacheHitTally& tally, const TunnelRoster* roster = nullptr); std::vector evaluate_pairs_in_call( const Graph& graph, const std::vector, std::vector>>& pairs, const EvaluationOptions& options, std::span per_pair_eligibility, std::int32_t workers, - FrozenCacheHitTally& tally); + FrozenCacheHitTally& tally, std::span rosters = {}); SensitivityResult evaluate_edge_failures_in_call(const Graph& graph, std::span sources, std::span destinations, const EvaluationOptions& options, - std::int32_t workers, FrozenCacheHitTally& tally); + std::int32_t workers, FrozenCacheHitTally& tally, const TunnelRoster* roster = nullptr); } // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/ledger_access.hpp b/include/netgraph/core/detail/ledger_access.hpp index 9852462..dd8e0dd 100644 --- a/include/netgraph/core/detail/ledger_access.hpp +++ b/include/netgraph/core/detail/ledger_access.hpp @@ -15,6 +15,7 @@ #include "netgraph/core/flow_ledger.hpp" #include "netgraph/core/flow_record.hpp" +#include "netgraph/core/detail/concurrency.hpp" namespace netgraph::core::detail { @@ -40,6 +41,16 @@ struct OwnerDrafts { std::span sources, const Eligibility* eligibility); struct LedgerAccess { + [[nodiscard]] static std::unique_lock lock(const FlowLedger& ledger) { + concurrent_event(ConcurrentStage::LedgerWait, &ledger); + std::unique_lock guard(ledger.gate_); + concurrent_event(ConcurrentStage::LedgerAcquired, &ledger); + return guard; + } + // Immutable metadata; no mutable-state check or lock. All other internal access below + // requires the ledger gate, except release(), which acquires it for destruction. + [[nodiscard]] static const std::shared_ptr& graph(const FlowLedger& ledger) noexcept { return ledger.graph_; } + [[nodiscard]] static FlowRecord record(const FlowLedger& ledger, const FlowId& id); // A new owner id (0, 1, ... per ledger, below the largest int64: std::runtime_error `policy // identity limit exceeded` there, nothing changed). Throws on a moved-from ledger. [[nodiscard]] static std::int64_t bind(FlowLedger& ledger); diff --git a/include/netgraph/core/detail/policy_engine.hpp b/include/netgraph/core/detail/policy_engine.hpp index 6cde920..77dcda0 100644 --- a/include/netgraph/core/detail/policy_engine.hpp +++ b/include/netgraph/core/detail/policy_engine.hpp @@ -22,6 +22,14 @@ namespace netgraph::core::detail { struct DeletionCapture; +// A detached argument search may be run by the binding; the callback and its +// context are native stack values, invoked synchronously before any lock. +using ArgumentWork = void (*)(void (*)(void*), void*); +struct TunnelRoster { + std::vector heads; + Cost c0 {0}; +}; +enum class PolicyOperation { Place, Evaluate, Replace, Forward }; // A live flow of the policy between calls. Its amounts are its ledger record (delivered; edge flows; // Lossy offered and edge drops; T1's holds). The flows of ShortestPaths and CentralizedTE are one per roster @@ -61,7 +69,7 @@ struct PolicyEpoch { }; struct PolicyEngine { - PolicyEngine(FlowLedger& ledger, FlowPolicyConfig config) : ledger(ledger), config(std::move(config)) {} + PolicyEngine(FlowLedger& ledger, FlowPolicyConfig&& config) : ledger(ledger), config(std::move(config)) {} FlowLedger& ledger; std::shared_ptr graph {}; @@ -102,14 +110,22 @@ struct PolicyEngine { // The internal access to a policy's engine (the pattern of LedgerAccess): FlowPolicy's public // interface is the documented API; everything else reaches the state here. struct PolicyAccess { + [[nodiscard]] static bool constructed(const FlowPolicy& policy) noexcept { return policy.ready_.load(std::memory_order_acquire); } [[nodiscard]] static const PolicyEngine& engine(const FlowPolicy& policy) noexcept { return *policy.engine_; } [[nodiscard]] static PolicyEngine& engine(FlowPolicy& policy) noexcept { return *policy.engine_; } + // Argument-only construction work, performed before a cache lease or ledger gate. + [[nodiscard]] static std::unique_ptr prepare(FlowLedger& ledger, std::span sources, + std::span destinations, FlowPolicyConfig config, const Eligibility* eligibility, ShortestPathCache* cache, + const TunnelRoster* roster = nullptr, ArgumentWork search = nullptr); + // An unbound, destructible shell; installation is the only publishing step. + [[nodiscard]] static std::unique_ptr shell(); + static void construct(FlowPolicy& policy, std::unique_ptr prepared, ShortestPathCache* cache); // A policy constructed inside another public call, whose tally records a supplied frozen // cache's hits; returned as a prvalue (FlowPolicy does not move). [[nodiscard]] static FlowPolicy make(FlowLedger& ledger, std::span sources, std::span destinations, FlowPolicyConfig config, - const Eligibility* eligibility, ShortestPathCache* cache, FrozenCacheHitTally& tally) { - return FlowPolicy(ledger, sources, destinations, std::move(config), eligibility, cache, tally); + const Eligibility* eligibility, ShortestPathCache* cache, FrozenCacheHitTally& tally, const TunnelRoster* roster = nullptr) { + return FlowPolicy(ledger, sources, destinations, std::move(config), eligibility, cache, tally, roster); } }; @@ -129,12 +145,24 @@ void check_source_count(const FlowPolicyConfig& config, std::size_t num_sources) // The resolved source allocation of a computing model; none for Pinned (its program has one). [[nodiscard]] std::optional source_allocation_of(const Routing& r) noexcept; void check_tunnel_limit(const FlowPolicyConfig& cfg, std::size_t num_heads); +// Construction's immutable checks, shared with evaluator preflight. Endpoints are +// normalized here before graph ownership and model checks. +std::optional check_policy_construction(const Graph& graph, std::span sources, + std::span destinations, const FlowPolicyConfig& config, + const Eligibility* eligibility, const ShortestPathCache* cache, ArgumentWork search = nullptr); // place()'s first check, before its offer is read (the binding runs it before converting it): T1 // and T2 raise ` does not support incremental placement`. void check_place_operation(const PolicyEngine& pe); -// forward()'s first checks, before its offer is read (the binding runs them before converting -// it): `Pinned forwards with replace`, then `forward requires an installed program`. +// forward()'s first check, before its offer is read (the binding runs it before converting +// it): `Pinned forwards with replace`. The installed program is checked under the +// gate, after every argument check. void check_forward_operation(const PolicyEngine& pe); +void check_policy_offer(const PolicyEngine& pe, PolicyOperation operation, std::optional offer); +void check_policy_design_model(const PolicyEngine& pe); +// All argument/immutable checks of a scalar call. No epoch or ledger state is read. +void check_policy_arguments(const PolicyEngine& pe, PolicyOperation operation, std::optional offer, + const std::optional>& design = {}, const Eligibility* black_holes = nullptr); +void check_list_arguments(FlowLedger& ledger, std::span actions, BatchMode mode, const OutputOptions& outputs); // The model's name in messages: ShortestPaths, CentralizedTE, T1 (DistributedTE), T2 (CentralizedTE with tunnel_count) or // Pinned. [[nodiscard]] const char* model_name(const Routing& r) noexcept; diff --git a/include/netgraph/core/detail/private_hooks.hpp b/include/netgraph/core/detail/private_hooks.hpp index a6162aa..5308574 100644 --- a/include/netgraph/core/detail/private_hooks.hpp +++ b/include/netgraph/core/detail/private_hooks.hpp @@ -17,7 +17,6 @@ inline constexpr bool kTraced = NETGRAPH_CORE_PRIVATE_HOOKS != 0; #if NETGRAPH_CORE_PRIVATE_HOOKS -#include #include #include "netgraph/core/detail/trace.hpp" @@ -25,13 +24,9 @@ inline constexpr bool kTraced = NETGRAPH_CORE_PRIVATE_HOOKS != 0; namespace netgraph::core::detail { -// FlowPolicy::place with the transaction's trace (a Trace: the call's intermediate values, -// keyed as the tests' model of the policy keys them). `before_publish`, when given, runs -// once the result and the trace are final and before anything is published (the commit, the -// epoch state): an exception from it aborts the call with nothing changed (the binding builds -// its Python objects there). -PlacementResult place_traced(FlowPolicy& policy, std::optional offer, const OutputOptions& outputs, Trace& trace, - const std::function* before_publish = nullptr); +// FlowPolicy::place with a native trace. Python conversion is a separate read, +// after the operation has released the ledger gate. +PlacementResult place_traced(FlowPolicy& policy, std::optional offer, const OutputOptions& outputs, Trace& trace); } // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/program_data.hpp b/include/netgraph/core/detail/program_data.hpp index ace311a..1b6de69 100644 --- a/include/netgraph/core/detail/program_data.hpp +++ b/include/netgraph/core/detail/program_data.hpp @@ -136,8 +136,19 @@ struct ProgramBlock { struct ProgramAccess { [[nodiscard]] static const ProgramData& data(const ForwardingProgram& p) noexcept { return *p.data_; } [[nodiscard]] static std::shared_ptr make(ProgramData&& data); + // Endpoints/options/entries have all passed their ordered checks. Construction + // does not repeat route validation; native and Python entries share this builder. + [[nodiscard]] static std::shared_ptr from_checked_routes( + std::span sources, std::span destinations, + std::span routes, ProgramData&& data); }; +// Check each supplied entry in order, preparing its private storage in the same +// pass. A later refusal discards it all. Endpoints/options have already passed +// their checks; no program is published until from_checked_routes finishes it. +[[nodiscard]] ProgramData check_route_definitions(const Graph& graph, std::span sources, + std::span destinations, std::span routes, const RouteOptions& options); + // A controller's path (CentralizedTE, ShortestPaths Optimized): its source's roster position, its edges in walk // order, its amount. struct OptimizedFlowPath { diff --git a/include/netgraph/core/detail/route_builders.hpp b/include/netgraph/core/detail/route_builders.hpp index 2b41392..dd8ce42 100644 --- a/include/netgraph/core/detail/route_builders.hpp +++ b/include/netgraph/core/detail/route_builders.hpp @@ -11,7 +11,15 @@ namespace netgraph::core::detail { +// Input checks shared by native factories and Python's attached argument pass. +void check_csr(const Graph& graph, std::span offsets, + std::span parents, std::span via); +void check_hops(const Graph& graph, const std::vector>& hops); + struct PredecessorDAGBuilder { + // The same arrays after check_csr; builds owned storage without repeating validation. + [[nodiscard]] static PredecessorDAG of_csr(const Graph& graph, std::span offsets, + std::span parents, std::span via); // Build a DAG from acyclic, duplicate-free edges; callers guarantee these preconditions. // Group predecessor entries (edge source, e) by node, with ascending EdgeId within each node. // For graph node count N and 8 |edges| < N, sort in O(|edges| log |edges|) without graph-sized diff --git a/include/netgraph/core/detail/unit_conversion.hpp b/include/netgraph/core/detail/unit_conversion.hpp new file mode 100644 index 0000000..451243d --- /dev/null +++ b/include/netgraph/core/detail/unit_conversion.hpp @@ -0,0 +1,25 @@ +// Numeric kernels after validation of the resolution and physical argument. +#pragma once + +#include +#include "netgraph/core/types.hpp" + +namespace netgraph::core::detail { + +// q = 2^k. The caller has checked finite, nonnegative x and the resolution. +// Keep the rounded value as a double until its caller has checked the unit bound. +inline double rounded_units(double x, int k) noexcept { + // x / q is exact (q is a power of two) unless it overflows to infinity or falls below the + // normal range (below 2^-1022 it may lose low bits; it then rounds to 0 units either way). + const double y = std::ldexp(x, -k); + constexpr double kTwo52 = 4503599627370496.0; // 2^52: doubles at or above it are integers + if (y >= kTwo52) return y; + const double f = std::floor(y); + return (y - f >= 0.5) ? f + 1.0 : f; // y - f is exact below 2^52: round half up +} + +inline double scaled_units(Amount x, int k) noexcept { + return std::ldexp(static_cast(x), k); +} + +} // namespace netgraph::core::detail diff --git a/include/netgraph/core/evaluators.hpp b/include/netgraph/core/evaluators.hpp index acad0c8..1c7b2eb 100644 --- a/include/netgraph/core/evaluators.hpp +++ b/include/netgraph/core/evaluators.hpp @@ -70,11 +70,13 @@ struct SensitivityResult { // Run evaluate_demand() per pair, returning results in pair order. Intersect options.eligibility with // per_pair_eligibility[i]; null entries are allowed, and an empty span supplies no per-pair values. // The Python binding checks the length of every supplied sequence. -// Before starting workers, validate in order: workers >= 1; options.eligibility's and the cache's graph; -// a supplied building cache with workers > 1; Pinned (rejected: a program has fixed endpoints); -// the configuration; offer and design_demand (the rules of evaluate_demand); and per_pair_eligibility's length. Then validate each pair completely in index -// order: endpoint sets, overlap, Eligibility's graph, the pooled single-path rule for its sources. -// This reports the lowest failing pair index. +// Before evaluation workers start, validate in order: workers >= 1; +// options.eligibility's and the cache's graph; Pinned (rejected: a program has fixed endpoints); the configuration; +// offer and design_demand (the rules of evaluate_demand); and per_pair_eligibility's length. Then validate each pair +// completely in index order: endpoint sets, overlap, Eligibility's graph, the pooled single-path rule for its sources +// and, for the tunnel models, the tunnel limit. This reports the lowest failing pair index. Last, under the cache's +// lease: a supplied building cache requires workers == 1. First-pass tunnel searches run in parallel +// over the checked prefix, before any lease; their immutable rosters are retained for evaluation. // A supplied building cache requires workers == 1 because it allows one writer. Workers share // a supplied frozen cache, and the one worker uses a supplied building cache; without a supplied // cache each worker gets a private building cache before threads start. diff --git a/include/netgraph/core/flow_ledger.hpp b/include/netgraph/core/flow_ledger.hpp index e236412..193a552 100644 --- a/include/netgraph/core/flow_ledger.hpp +++ b/include/netgraph/core/flow_ledger.hpp @@ -5,6 +5,7 @@ #include #include #include +#include #include #include #include @@ -27,11 +28,13 @@ struct LedgerAccess; // 0 <= S <= R0 per edge); max(L, S) is no occupancy, and traffic may use bandwidth that is held. // Policies alone place, hold or remove through detail::LedgerAccess; there is no public // placement, removal or reservation. All four return int64[E] snapshots in EdgeId order. +// One gate protects every mutable read, lifecycle operation and bound policy publication. // // Lifetime: the graph outlives the ledger (shared pointer), the ledger outlives its policies. // A ledger with bound policies cannot be copied, moved or reset. A copy of an unbound ledger // is a new ledger (new uid) holding the same baselines, records, ids and holds under the new uid; -// a moved-from ledger is empty and unusable (every call throws std::logic_error). A policy +// a moved-from ledger retains its immutable graph owner but its mutable state is empty and +// unusable (every public call throws std::logic_error). A policy // destroyed without remove() leaves its records, allocations and holds as orphans (readable, // never changed again) until reset(). class FlowLedger { @@ -85,7 +88,11 @@ class FlowLedger { } [[nodiscard]] Amount reserved_at(std::size_t e) const noexcept { return reserved_.empty() ? 0 : reserved_[e]; } + // Never changed after construction, including when moving this ledger. Internal argument + // checks can safely pin graph metadata before acquiring the gate; public reads still gate + // their usability check. The gate itself stays with its object across copy/move. std::shared_ptr graph_ {}; + mutable std::mutex gate_; std::uint64_t uid_ {0}; bool usable_ {true}; std::vector service_baseline_ {}; diff --git a/include/netgraph/core/flow_policy.hpp b/include/netgraph/core/flow_policy.hpp index 4d16885..effd114 100644 --- a/include/netgraph/core/flow_policy.hpp +++ b/include/netgraph/core/flow_policy.hpp @@ -1,6 +1,7 @@ /* The policy engine FlowPolicy. */ #pragma once +#include #include #include #include @@ -22,6 +23,7 @@ namespace netgraph::core { namespace detail { +struct TunnelRoster; struct PolicyEngine; struct PolicyAccess; class FrozenCacheHitTally; @@ -304,7 +306,8 @@ struct PlacementResult { }; // A policy binds to its ledger at construction. Every call validates, then computes on working -// copies and publishes all changes together, or none. +// copies and publishes all changes together, or none. The ledger's single gate covers +// every policy call and mutable read; config() is immutable and lock-free. // place(offer) adds offer to the epoch: ShortestPaths prepares its program at the epoch's first positive call // (every roster source's shortest routes on the ledger's residual at that call's entry) and keeps // it for the epoch; Equal and Weighted forward the equal source allocation over the pooled routes: @@ -340,18 +343,19 @@ struct PlacementResult { // the ShortestPathCache and the black holes by the ledger's graph, the configuration (FlowPolicyConfig's // order), then the roster and count rules (the pooled single-path rule; T2's several-sources // rule; the tunnel limit; a Pinned program's endpoints equal to the policy's). A call validates the -// operation for the model (T1's and T2's place), an installed program (forward), the request ([0, +// operation for the model (T1's and T2's place), the request ([0, // 2^62) units or +inf), a Lossy full offer's finiteness, the design demand (the model accepts one, // [0, 2^62) or +inf, T1 finite), a finite place after +inf in the epoch (rejected, also 0) and the black holes' graph -// (forward) before any change. A solve of the flow core (CentralizedTE, ShortestPaths Optimized, a Optimized flow) whose +// (forward) before any change. Argument/immutable checks run first; installed-program, epoch +// and counter checks then run under the gate, in that order. A solve of the flow core (CentralizedTE, ShortestPaths Optimized, a Optimized flow) whose // network exceeds the core's int32 numbering throws std::invalid_argument, and the call changes // nothing: more than INT32_MAX - 2 nodes, or more than 2^30 - 1 edges, sources and destinations // together. A Lossy forwarding whose losses wait on each other in a cycle that alternates between // two states or does not settle within its round limit throws std::invalid_argument; a failed // check of an iterated forwarding throws std::runtime_error; neither publishes anything. // -// Lifetime: the ledger, the Eligibility and the ShortestPathCache outlive the policy (the policy holds -// pointers to them); a Pinned policy shares its program and black holes. The roster (the eligible +// Lifetime: the ledger and Eligibility outlive the policy. A cache is read during +// construction; the support DAG is retained by the policy. A Pinned policy shares its program and black holes. The roster (the eligible // sources that statically reach an allowed destination, over allowed edges whatever their // capacity, the tunnel models' heads; Pinned: the program's roster heads that reach an allowed destination over // its basis under the Eligibility) is fixed at construction. @@ -363,7 +367,7 @@ class FlowPolicy { FlowPolicy& operator=(const FlowPolicy&) = delete; FlowPolicy(FlowPolicy&&) = delete; FlowPolicy& operator=(FlowPolicy&&) = delete; - ~FlowPolicy(); + ~FlowPolicy() noexcept; // offer and an inner design_demand: units, nullopt is +inf; an absent design_demand is // the offer. @@ -386,19 +390,23 @@ class FlowPolicy { // One of this policy's live records; a FlowId of another ledger or policy, a retired or an // unknown id throws std::invalid_argument. [[nodiscard]] FlowRecord record(const FlowId& flow_id) const; - // The installed program: null before the epoch's first preparation and after remove(). - [[nodiscard]] std::shared_ptr program() const noexcept; + // A gated snapshot of the installed program: null before preparation and after remove(). + [[nodiscard]] std::shared_ptr program() const; // The configuration as validated at construction: a copy whose absent source_allocation and // weight_basis are resolved to the model's defaults (FlowPolicyConfig). [[nodiscard]] const FlowPolicyConfig& config() const noexcept; private: friend struct detail::PolicyAccess; + FlowPolicy() noexcept; // Construction inside another public call (an evaluator): a supplied frozen cache's hits are // recorded in that call's tally. FlowPolicy(FlowLedger& ledger, std::span sources, std::span destinations, - FlowPolicyConfig config, const Eligibility* eligibility, ShortestPathCache* cache, detail::FrozenCacheHitTally& tally); + FlowPolicyConfig config, const Eligibility* eligibility, ShortestPathCache* cache, detail::FrozenCacheHitTally& tally, const detail::TunnelRoster* roster); std::unique_ptr engine_; + // A Python __new__ shell can be visible while __init__ is detached. The engine + // stays at the same address after this release publication under its gate. + std::atomic ready_ {false}; }; // ---------------------------------------------------------------- several demands at once @@ -447,13 +455,15 @@ using Action = std::variant; // with its two errors. Every entry reports the one residual after the list and its own // saturated_boundary_edges on it. An empty list returns nothing after checking the ledger and mode. // -// Validation (std::invalid_argument, before anything is computed): the ledger (a moved-from one: +// Validation has two passes in the order below: arguments/immutable objects first, then mutable +// state under the gate. Nothing computes before both passes finish. The ledger (a moved-from one: // std::logic_error), `mode` a BatchMode value (`mode: is not a value of BatchMode`); then each -// action in list order, all of its checks before the next one's: `list policy belongs to another +// action's argument checks in list order: `list policy belongs to another // ledger`; `duplicate policy in list` (at the second occurrence); Simultaneous only, in this order, // `SIMULTANEOUS does not accept Place`, `SIMULTANEOUS Replace requires ShortestPaths EQUAL or WEIGHTED, // or Pinned`, `SIMULTANEOUS requires admission=LOSSY`, `SIMULTANEOUS requires finite offers`; then -// the scalar call's own checks in their order. A computation error (the loss iteration's errors, a +// the scalar call's argument checks. Ledger usability and every action's mutable checks run +// under the gate, in list order. A computation error (the loss iteration's errors, a // solver or forwarding size, the record identity limit counted for the whole list) also changes // nothing. std::vector apply_actions(FlowLedger& ledger, std::span actions, diff --git a/include/netgraph/core/shortest_path_cache.hpp b/include/netgraph/core/shortest_path_cache.hpp index a722a8b..be5f08b 100644 --- a/include/netgraph/core/shortest_path_cache.hpp +++ b/include/netgraph/core/shortest_path_cache.hpp @@ -23,6 +23,7 @@ namespace netgraph::core { namespace detail { struct DagCacheAccess; class FrozenCacheHitTally; +class CacheGate; } // namespace detail // A frozen-cache lookup with no matching key throws ShortestPathCacheMiss. The shared message can be @@ -45,7 +46,7 @@ class ShortestPathCacheMiss : public std::exception { // Values remain valid after clear() or cache destruction. The route choice is applied when a policy // creates a flow and is never cached. // -// Building mode (a new cache): one writer, no concurrent readers. A hit returns the value; a miss +// Building mode (a new cache): one exclusive lease per call. A hit returns the value; a miss // runs the search, inserts and returns (a failed search counts one miss and inserts nothing); an // invalid query (a graph or Eligibility of another graph, an empty root set, a root out of range, // a direction outside its enumeration) throws std::invalid_argument and counts nothing. clear() @@ -54,8 +55,9 @@ class ShortestPathCacheMiss : public std::exception { // Frozen mode (after freeze()): read-only and shareable; lookups from several threads at once are // safe. A hit returns the value; a miss counts one miss and throws ShortestPathCacheMiss (nothing is // inserted); clear() throws std::invalid_argument; freeze() again has no effect; thaw() returns to -// building mode once the caller has joined every reader (no lookup may run concurrently with -// freeze(), thaw() or destruction). +// building mode after outstanding calls release their leases. Lifecycle calls take exclusive +// admission, in FIFO order with lookups, so later building calls and frozen readers cannot +// starve them. Callers keep the cache alive throughout every call; returned values own their data. // // Each statistic is atomic, but reading several fields need not give one consistent snapshot. // `bytes` counts the entries' stored DAG arrays; `live_values` counts values alive anywhere, @@ -78,23 +80,25 @@ class ShortestPathCache { explicit ShortestPathCache(const Graph& graph); ShortestPathCache(const ShortestPathCache&) = delete; ShortestPathCache& operator=(const ShortestPathCache&) = delete; - ~ShortestPathCache() = default; + ~ShortestPathCache(); [[nodiscard]] std::uint64_t graph_uid() const noexcept { return graph_uid_; } [[nodiscard]] std::shared_ptr lookup(const Graph& graph, std::span roots, Direction direction, const Eligibility* eligibility); - void freeze() noexcept; - void thaw() noexcept; + void freeze(); + void thaw(); void clear(); [[nodiscard]] Stats stats() const noexcept; private: friend struct detail::DagCacheAccess; + // Caller owns the lifecycle lease, or this cache is exclusive to one worker. + void clear_contents() noexcept; // lookup() inside a public call: with a tally of this cache, a frozen hit is recorded in it and a // frozen miss counts nothing here (the call's boundary counts it). std::shared_ptr lookup_in_call(const Graph& graph, std::span roots, Direction direction, const Eligibility* eligibility, detail::FrozenCacheHitTally* tally); - bool frozen_ {false}; + std::unique_ptr gate_; using Key = std::tuple, Direction, std::uint64_t>; // A lookup's key over borrowed roots (a validated sorted, duplicate-free span): a hit needs no copy. using KeyView = std::tuple, Direction, std::uint64_t>; diff --git a/python/netgraph_core/__init__.pyi b/python/netgraph_core/__init__.pyi index 3be0743..8ef0e97 100644 --- a/python/netgraph_core/__init__.pyi +++ b/python/netgraph_core/__init__.pyi @@ -1977,11 +1977,11 @@ class ShortestPathCache: (the root set, the direction, the Eligibility uid). It stores the full DAG and applies each caller's route choice afterwards, so the route choice is never cached. ShortestPaths policies and the evaluators read it. - Building mode (a new cache): one writer, no concurrent readers; a miss searches and inserts; + Building mode (a new cache): one exclusive lease per call; a miss searches and inserts; clear() empties it (the hit and miss counters persist), and values already handed out stay valid. Frozen mode (freeze()): read-only and shareable by every worker; a miss counts one miss and raises - ShortestPathCacheMiss; clear() raises ValueError; thaw() returns to building once the caller has joined - every reader. + ShortestPathCacheMiss; clear() raises ValueError; thaw() waits for active calls, then returns to building. + Lifecycle calls take exclusive FIFO admission and cannot be overtaken by later calls. When a public call fails: a building cache passed to it keeps the complete entries and statistics of the lookups that succeeded before the failure (never a partial entry; a kept entry never changes a result); a frozen cache's statistics stay unchanged, except one miss when the call @@ -2001,7 +2001,7 @@ class ShortestPathCache: def freeze(self) -> None: """ - enter frozen mode (no effect when frozen) + wait for active calls and enter frozen mode (no effect when frozen) """ def graph_uid(self) -> int: @@ -2016,12 +2016,14 @@ class ShortestPathCache: def thaw(self) -> None: """ - return to building mode (no effect when building); join every reader first + wait for active calls and return to building mode (no effect when building) """ +@typing.final class FlowPolicy: """ - The placement engine for one demand, bound to its ledger at construction. Every call (place, + The placement engine for one demand, bound to its ledger at construction. A final Python class. + Native computation releases the GIL; one ledger gate serializes calls and mutable reads. Every call (place, evaluate, replace, forward) is all-or-nothing: a failed call raises and leaves the ledger and the policy as they were (with the two limits in the module docstring). remove() takes every flow of the policy back out, clears its program and starts a new epoch (the request total starts again from 0); @@ -2098,9 +2100,9 @@ class FlowPolicy: program's lossless bound up to the offer; LOSSY sends the offer. black_holes (an Eligibility of the graph): the nodes and edges it excludes are black holes for this call (stale forwarding: traffic reaching one is dropped there; a black-holed source loses its share). In this order: Pinned raises - `Pinned forwards with replace`; no installed program `forward requires an installed program`; - the offer; LOSSY +inf `LOSSY forwarding requires a finite offer`; black_holes - of another graph `black_holes belongs to another graph`. + `Pinned forwards with replace`; the offer; LOSSY +inf `LOSSY forwarding requires a finite offer`; + black_holes of another graph `black_holes belongs to another graph`; then, under the gate, + no installed program `forward requires an installed program`. """ def place( @@ -2623,12 +2625,14 @@ def apply_actions( Checked in this order: the arguments' types (TypeError: `ledger must be a FlowLedger`, `actions must be a sequence of Place, Replace or Forward (got )`, `actions[] must be a Place, Replace or Forward (got )`, `mode must be a BatchMode (got )`, `outputs must be an OutputOptions - (got )`); mode's value (`mode: is not a value of BatchMode`); an empty list returns []; - then each action in list order, all of its checks before the next action's: `list policy belongs + (got )`); mode's value (`mode: is not a value of BatchMode`); then each action's + argument/immutable checks in list order: `list policy belongs to another ledger`, `duplicate policy in list`, SIMULTANEOUS's own rules (`SIMULTANEOUS does not accept Place`, `SIMULTANEOUS Replace requires ShortestPaths EQUAL or WEIGHTED, or Pinned`, `SIMULTANEOUS requires admission=LOSSY`, `SIMULTANEOUS requires finite offers`), then the scalar - call's checks in its order. Only then is anything computed; an error of the computation (a + call's argument checks. Ledger usability and every action's mutable state are then checked under + the gate, in list order, before any computation. An empty list checks usability and mode, then + returns []. An error of the computation (a loss-iteration error, a solver or forwarding size limit, the record identity limit counted for the whole list) publishes nothing. """ @@ -2723,8 +2727,9 @@ def evaluate_pairs( evaluate_demand() for each (sources, destinations) pair, results in pair order. Pair i uses options.eligibility intersected with per_pair_eligibility[i] (None entries allowed; a given sequence has one entry per pair, also when empty). workers >= 1; None: NGRAPH_CORE_BATCH_THREADS or 1, and 1 when a cache is - supplied. Everything is validated before a worker starts, the arguments first, then each pair - completely in pair order, so the error of the lowest failing pair is raised. Pinned is rejected + supplied. All checks finish before evaluation workers start: the arguments first, then each pair + completely in pair order, so the error of the lowest failing pair is raised. First-pass tunnel + searches run in parallel under one GIL release, before any lease or gate. Pinned is rejected (`evaluate_pairs does not accept Pinned`: a program has fixed endpoints); an empty batch returns []. Caches: a supplied building cache needs workers == 1; a frozen cache is shared by every worker diff --git a/src/concurrency.cpp b/src/concurrency.cpp new file mode 100644 index 0000000..8be89e0 --- /dev/null +++ b/src/concurrency.cpp @@ -0,0 +1,15 @@ +// One probe slot shared by the native library and its Python bindings. Keeping the +// TLS behind functions also makes its identity independent of TU visibility/LTO. +#include "netgraph/core/detail/concurrency.hpp" +#if NETGRAPH_CORE_PRIVATE_HOOKS +namespace netgraph::core::detail { +namespace { +thread_local const ConcurrentProbe* probe_slot = nullptr; +} +const ConcurrentProbe* current_concurrent_probe() noexcept { return probe_slot; } +void set_concurrent_probe(const ConcurrentProbe* probe) noexcept { probe_slot = probe; } +void concurrent_event(ConcurrentStage stage, const void* object) { + if (probe_slot != nullptr) probe_slot->notify(probe_slot->context, stage, object); +} +} // namespace netgraph::core::detail +#endif diff --git a/src/evaluators.cpp b/src/evaluators.cpp index b1a8946..65eae79 100644 --- a/src/evaluators.cpp +++ b/src/evaluators.cpp @@ -100,9 +100,9 @@ PlacementResult run(FlowPolicy& policy, const EvaluatorCall& call, const OutputO // One evaluation inside a public call: a supplied frozen cache's hit goes to the call's tally. PlacementResult evaluate(const Graph& graph, std::span sources, std::span destinations, const EvaluationOptions& opts, const Eligibility* eligibility, ShortestPathCache* cache, - const OutputOptions& outputs, detail::FrozenCacheHitTally& tally) { + const OutputOptions& outputs, detail::FrozenCacheHitTally& tally, const detail::TunnelRoster* roster = nullptr) { FlowLedger fg(borrowed(graph)); - FlowPolicy policy = detail::PolicyAccess::make(fg, sources, destinations, opts.config, eligibility, cache, tally); + FlowPolicy policy = detail::PolicyAccess::make(fg, sources, destinations, opts.config, eligibility, cache, tally, roster); return run(policy, evaluator_call(policy.config(), opts.offer, opts.design_demand), outputs); } @@ -114,6 +114,10 @@ void check_common(const Graph& graph, const Eligibility* eligibility, const Shor if (cache != nullptr && cache->graph_uid() != graph.uid()) { throw std::invalid_argument("foreign ShortestPathCache: bound to another graph"); } +} + +// Called only while the evaluator's single supplied-cache lease is held. +void check_cache_mode(const ShortestPathCache* cache, std::int32_t workers) { if (cache != nullptr && workers != 1 && !detail::DagCacheAccess::frozen(*cache)) { throw std::invalid_argument( "a supplied building ShortestPathCache has one writer: it is rejected unless workers == 1 (got workers = " + @@ -126,40 +130,36 @@ std::size_t worker_threads(std::size_t n, std::int32_t workers) { return std::max(1, static_cast(std::min(workers, static_cast(n)))); } -// Runs task(i, cache, t) for i in [0, n) on worker_threads(n, workers) threads (t the worker's -// index), each with its own private building cache unless `shared` is given (a supplied cache: -// building with workers == 1, or frozen and shared by every worker). Indices are taken in increasing -// order and a taken index always runs, so after an exception every lower index has run: the -// lowest failing index is the one a sequential run would report, and its exception is rethrown. -// Everything a worker needs (the result slots, the private caches) is allocated here, before -// any thread starts, so a failure throws in the caller; the worker body cannot throw (an -// exception escaping a std::thread terminates the process): a task's exception is caught into -// its slot, and every launched thread is joined before anything is rethrown. // A worker's cache for one evaluation: only ShortestPaths reads one (the other models reject a cache, // and the caller's was validated before the workers started). ShortestPathCache* worker_cache(const FlowPolicyConfig& config, ShortestPathCache& cache) noexcept { return std::holds_alternative(config.routing) ? &cache : nullptr; } +// Increasing indices ensure every task below a failing index has already been taken. +// Taken tasks finish even after an abort. Each exception has its own slot, and every +// launched thread is joined before the lowest-index exception is rethrown. +// The caller allocates result slots before entering; error and thread storage is private here. template -void run_indexed(std::size_t n, std::int32_t workers, const Graph& graph, ShortestPathCache* shared, Task task) { +void run_tasks(std::size_t n, std::int32_t workers, Task task) { if (n == 0) return; const auto threads = worker_threads(n, workers); std::vector errors(n); - std::vector> own; - if (shared == nullptr) { - own.reserve(threads); - for (std::size_t t = 0; t < threads; ++t) own.push_back(std::make_unique(graph)); - } std::atomic next {0}; std::atomic abort {false}; +#if NETGRAPH_CORE_PRIVATE_HOOKS + const auto* caller_probe = detail::current_concurrent_probe(); +#endif auto worker = [&](std::size_t t) noexcept { - ShortestPathCache& cache = shared != nullptr ? *shared : *own[t]; +#if NETGRAPH_CORE_PRIVATE_HOOKS + const detail::ScopedConcurrentProbe inherited(caller_probe); +#endif while (!abort.load(std::memory_order_relaxed)) { const std::size_t i = next.fetch_add(1, std::memory_order_relaxed); if (i >= n) break; try { - task(i, cache, t); + detail::concurrent_event(detail::ConcurrentStage::WorkerBegin, &i); + task(i, t); } catch (...) { errors[i] = std::current_exception(); abort.store(true, std::memory_order_relaxed); @@ -172,7 +172,10 @@ void run_indexed(std::size_t n, std::int32_t workers, const Graph& graph, Shorte std::vector pool; pool.reserve(threads); try { - for (std::size_t t = 0; t < threads; ++t) pool.emplace_back(worker, t); + for (std::size_t t = 0; t < threads; ++t) { + detail::concurrent_event(detail::ConcurrentStage::ThreadLaunch, &t); + pool.emplace_back(worker, t); + } } catch (...) { abort.store(true); for (auto& th : pool) th.join(); @@ -185,6 +188,22 @@ void run_indexed(std::size_t n, std::int32_t workers, const Graph& graph, Shorte } } +// Evaluation workers borrow the supplied cache or own one private building cache each. +// First-pass roster checks use run_tasks directly and need no cache or lease. +template +void run_indexed(std::size_t n, std::int32_t workers, const Graph& graph, ShortestPathCache* shared, Task task) { + if (n == 0) return; + std::vector> own; + if (shared == nullptr) { + const auto threads = worker_threads(n, workers); + own.reserve(threads); + for (std::size_t t = 0; t < threads; ++t) own.push_back(std::make_unique(graph)); + } + run_tasks(n, workers, [&](std::size_t i, std::size_t t) { + task(i, shared != nullptr ? *shared : *own[t], t); + }); +} + // ShortestPaths sensitivity: the edges of the full static support (every edge on a static shortest // path to the destination set) reachable from the roster sources through support edges. This is // not only the baseline's selected routes. Each source's route is read from the part of this set @@ -226,6 +245,19 @@ std::vector reachable_support(const Graph& graph, const detail::Po namespace detail { +std::optional check_demand_arguments(const Graph& graph, std::span sources, + std::span destinations, const EvaluationOptions& options, ArgumentWork search) { + auto roster = check_policy_construction(graph, sources, destinations, options.config, options.eligibility, options.cache, search); + (void)evaluator_call(options.config, options.offer, options.design_demand); + return roster; +} + +std::optional check_edge_failure_arguments(const Graph& graph, std::span sources, + std::span destinations, const EvaluationOptions& options, std::int32_t workers, ArgumentWork search) { + check_common(graph, options.eligibility, options.cache, workers); + return check_demand_arguments(graph, sources, destinations, options, search); +} + void check_batch_arguments(const Graph& graph, const EvaluationOptions& options, std::int32_t workers) { check_common(graph, options.eligibility, options.cache, workers); if (std::holds_alternative(options.config.routing)) throw std::invalid_argument("evaluate_pairs does not accept Pinned"); @@ -249,24 +281,40 @@ void check_batch_pair(const Graph& graph, const FlowPolicyConfig& config, std::s check_source_count(config, s.size()); } +std::vector prepare_batch_rosters(const Graph& graph, + std::span, std::vector>> pairs, + const EvaluationOptions& options, std::span per_pair, std::int32_t workers, + ArgumentWork search) { + const auto* centralized = std::get_if(&options.config.routing); + if (pairs.empty() || !(std::holds_alternative(options.config.routing) || + (centralized && centralized->tunnel_count.has_value()))) return {}; + std::vector rosters; + auto work = [&] { + rosters.resize(pairs.size()); + run_tasks(pairs.size(), workers, [&](std::size_t i, std::size_t /*t*/) { + const auto* common = options.eligibility; + const auto* eligibility = per_pair.empty() ? nullptr : per_pair[i]; + std::optional both; + if (common && eligibility) both = Eligibility::intersect(*common, *eligibility); + const auto* mask = both ? &*both : (common ? common : eligibility); + rosters[i] = *check_policy_construction(graph, pairs[i].first, pairs[i].second, options.config, mask, nullptr); + }); + }; + if (search != nullptr) search([](void* context) { (*static_cast(context))(); }, &work); + else work(); + return rosters; +} + PlacementResult evaluate_demand_in_call(const Graph& graph, std::span sources, - std::span destinations, const EvaluationOptions& options, FrozenCacheHitTally& tally) { - return evaluate(graph, sources, destinations, options, options.eligibility, options.cache, options.outputs, tally); + std::span destinations, const EvaluationOptions& options, FrozenCacheHitTally& tally, const TunnelRoster* roster) { + return evaluate(graph, sources, destinations, options, options.eligibility, options.cache, options.outputs, tally, roster); } std::vector evaluate_pairs_in_call( const Graph& graph, const std::vector, std::vector>>& pairs, const EvaluationOptions& options, std::span per_pair_eligibility, std::int32_t workers, - FrozenCacheHitTally& tally) { - check_batch_arguments(graph, options, workers); - if (!per_pair_eligibility.empty() && per_pair_eligibility.size() != pairs.size()) { - throw std::invalid_argument("per_pair_eligibility has " + std::to_string(per_pair_eligibility.size()) + " entries for " + - std::to_string(pairs.size()) + " pairs"); - } - for (std::size_t i = 0; i < pairs.size(); ++i) { - check_batch_pair(graph, options.config, pairs[i].first, pairs[i].second, per_pair_eligibility.empty() ? nullptr : per_pair_eligibility[i], - i); - } + FrozenCacheHitTally& tally, std::span rosters) { + check_cache_mode(options.cache, workers); std::vector> results(pairs.size()); run_indexed(pairs.size(), workers, graph, options.cache, [&](std::size_t i, ShortestPathCache& cache, std::size_t /*t*/) { const Eligibility* extra = per_pair_eligibility.empty() ? nullptr : per_pair_eligibility[i]; @@ -281,7 +329,7 @@ std::vector evaluate_pairs_in_call( } } results[i] = evaluate(graph, pairs[i].first, pairs[i].second, options, elig, worker_cache(options.config, cache), - options.outputs, tally); + options.outputs, tally, rosters.empty() ? nullptr : &rosters[i]); }); std::vector out; out.reserve(results.size()); @@ -291,8 +339,8 @@ std::vector evaluate_pairs_in_call( SensitivityResult evaluate_edge_failures_in_call(const Graph& graph, std::span sources, std::span destinations, const EvaluationOptions& options, - std::int32_t workers, FrozenCacheHitTally& tally) { - check_common(graph, options.eligibility, options.cache, workers); + std::int32_t workers, FrozenCacheHitTally& tally, const TunnelRoster* roster) { + check_cache_mode(options.cache, workers); // Unrestricted CentralizedTE with the optimized source allocation skips the links its baseline leaves without // flow (deleting one keeps the baseline feasible, so the delivery stays). When the baseline is a maximum flow (no // offer, or a finite offer above what it delivers) each deletion repairs the baseline's state; when the offer @@ -313,7 +361,7 @@ SensitivityResult evaluate_edge_failures_in_call(const Graph& graph, std::span sources, - std::span destinations, const EvaluationOptions& options) { +PlacementResult evaluate_demand(const Graph& graph, std::span input_sources, + std::span input_destinations, const EvaluationOptions& input_options) { + const EvaluationOptions options = input_options; + const std::vector sources(input_sources.begin(), input_sources.end()); + const std::vector destinations(input_destinations.begin(), input_destinations.end()); + const auto roster = detail::check_demand_arguments(graph, sources, destinations, options); return detail::frozen_call(options.cache, [&](detail::FrozenCacheHitTally& tally) { - return detail::evaluate_demand_in_call(graph, sources, destinations, options, tally); + return detail::evaluate_demand_in_call(graph, sources, destinations, options, tally, roster ? &*roster : nullptr); }); } std::vector evaluate_pairs( - const Graph& graph, const std::vector, std::vector>>& pairs, - const EvaluationOptions& options, std::span per_pair_eligibility, std::int32_t workers) { + const Graph& graph, const std::vector, std::vector>>& input_pairs, + const EvaluationOptions& input_options, std::span input_per_pair, std::int32_t workers) { + const EvaluationOptions options = input_options; + const auto pairs = input_pairs; + const std::vector per_pair_eligibility(input_per_pair.begin(), input_per_pair.end()); + detail::check_batch_arguments(graph, options, workers); + if (!per_pair_eligibility.empty() && per_pair_eligibility.size() != pairs.size()) { + throw std::invalid_argument("per_pair_eligibility has " + std::to_string(per_pair_eligibility.size()) + " entries for " + + std::to_string(pairs.size()) + " pairs"); + } + std::exception_ptr pending; + std::size_t valid = 0; + for (std::size_t i = 0; i < pairs.size(); ++i) { + try { + detail::check_batch_pair(graph, options.config, pairs[i].first, pairs[i].second, + per_pair_eligibility.empty() ? nullptr : per_pair_eligibility[i], i); + ++valid; + } catch (...) { + pending = std::current_exception(); + break; + } + } + // Searches of the valid prefix precede the later pair's attached-check error. + // The search workers themselves report the lowest failing pair and are joined here. + const auto rosters = detail::prepare_batch_rosters(graph, std::span(pairs).first(valid), options, per_pair_eligibility, workers); + if (pending) std::rethrow_exception(pending); return detail::frozen_call(options.cache, [&](detail::FrozenCacheHitTally& tally) { - return detail::evaluate_pairs_in_call(graph, pairs, options, per_pair_eligibility, workers, tally); + return detail::evaluate_pairs_in_call(graph, pairs, options, per_pair_eligibility, workers, tally, rosters); }); } -SensitivityResult evaluate_edge_failures(const Graph& graph, std::span sources, - std::span destinations, const EvaluationOptions& options, +SensitivityResult evaluate_edge_failures(const Graph& graph, std::span input_sources, + std::span input_destinations, const EvaluationOptions& input_options, std::int32_t workers) { + const EvaluationOptions options = input_options; + const std::vector sources(input_sources.begin(), input_sources.end()); + const std::vector destinations(input_destinations.begin(), input_destinations.end()); + const auto roster = detail::check_edge_failure_arguments(graph, sources, destinations, options, workers); return detail::frozen_call(options.cache, [&](detail::FrozenCacheHitTally& tally) { - return detail::evaluate_edge_failures_in_call(graph, sources, destinations, options, workers, tally); + return detail::evaluate_edge_failures_in_call(graph, sources, destinations, options, workers, tally, roster ? &*roster : nullptr); }); } diff --git a/src/flow_ledger.cpp b/src/flow_ledger.cpp index 131fe61..a024e46 100644 --- a/src/flow_ledger.cpp +++ b/src/flow_ledger.cpp @@ -51,6 +51,7 @@ FlowLedger::FlowLedger(std::shared_ptr graph, std::span FlowLedger::checked_baseline(std::span amounts } std::uint64_t FlowLedger::uid() const { + const auto guard = detail::LedgerAccess::lock(*this); check_usable(); return uid_; } const std::shared_ptr& FlowLedger::graph() const { + const auto guard = detail::LedgerAccess::lock(*this); check_usable(); return graph_; } std::span FlowLedger::edge_capacity_units() const { + const auto guard = detail::LedgerAccess::lock(*this); check_usable(); return graph_->edge_capacity_units(); } std::vector FlowLedger::residual() const { + const auto guard = detail::LedgerAccess::lock(*this); check_usable(); std::vector out(service_baseline_.size()); for (std::size_t e = 0; e < out.size(); ++e) out[e] = service_baseline_[e] - carried_[e]; @@ -127,16 +133,19 @@ std::vector FlowLedger::residual() const { } std::vector FlowLedger::carried() const { + const auto guard = detail::LedgerAccess::lock(*this); check_usable(); return carried_; } std::vector FlowLedger::reserved() const { + const auto guard = detail::LedgerAccess::lock(*this); check_usable(); return reserved_.empty() ? std::vector(service_baseline_.size(), 0) : reserved_; } std::vector FlowLedger::unreserved() const { + const auto guard = detail::LedgerAccess::lock(*this); check_usable(); std::vector out(service_baseline_.size()); for (std::size_t e = 0; e < out.size(); ++e) out[e] = reservation_at(e) - reserved_at(e); @@ -144,6 +153,7 @@ std::vector FlowLedger::unreserved() const { } std::vector FlowLedger::records() const { + const auto guard = detail::LedgerAccess::lock(*this); check_usable(); std::vector out; out.reserve(records_.size()); @@ -152,13 +162,18 @@ std::vector FlowLedger::records() const { } FlowRecord FlowLedger::record(const FlowId& flow_id) const { - check_usable(); - if (flow_id.first != uid_) { + const auto guard = detail::LedgerAccess::lock(*this); + return detail::LedgerAccess::record(*this, flow_id); +} + +FlowRecord detail::LedgerAccess::record(const FlowLedger& ledger, const FlowId& flow_id) { + ledger.check_usable(); + if (flow_id.first != ledger.uid_) { throw std::invalid_argument("FlowId (" + std::to_string(flow_id.first) + ", " + std::to_string(flow_id.second) + - ") belongs to another ledger (uid " + std::to_string(uid_) + ")"); + ") belongs to another ledger (uid " + std::to_string(ledger.uid_) + ")"); } - const auto it = records_.find(flow_id.second); - if (it == records_.end()) { + const auto it = ledger.records_.find(flow_id.second); + if (it == ledger.records_.end()) { throw std::invalid_argument("FlowId (" + std::to_string(flow_id.first) + ", " + std::to_string(flow_id.second) + ") is retired or unknown"); } @@ -166,13 +181,15 @@ FlowRecord FlowLedger::record(const FlowId& flow_id) const { } std::vector FlowLedger::saturated_boundary_edges(std::span sources, const Eligibility* eligibility) const { - check_usable(); const auto& g = *graph_; const auto srcs = detail::node_set(sources, g.num_nodes(), "sources"); if (eligibility != nullptr && eligibility->graph_uid() != g.uid()) { throw std::invalid_argument("foreign Eligibility: built for another graph"); } - return detail::saturated_boundary_edges_of(g, residual(), srcs, eligibility); + const auto guard = detail::LedgerAccess::lock(*this); + std::vector residual; + detail::LedgerAccess::residual_into(*this, residual); + return detail::saturated_boundary_edges_of(g, residual, srcs, eligibility); } namespace detail { @@ -220,21 +237,24 @@ std::vector saturated_boundary_edges_of(const Graph& graph, std::spanedge_capacity_units()); } void FlowLedger::reset(std::span service_baseline) { + auto baseline = checked_baseline(service_baseline, "service_baseline"); + const auto guard = detail::LedgerAccess::lock(*this); check_usable(); check_resettable(); - install(checked_baseline(service_baseline, "service_baseline"), {}); + install(std::move(baseline), {}); } void FlowLedger::reset(std::span service_baseline, std::span reservation_baseline) { + auto baseline = checked_baseline(service_baseline, "service_baseline"); + auto reservation = checked_baseline(reservation_baseline, "reservation_baseline"); + const auto guard = detail::LedgerAccess::lock(*this); check_usable(); check_resettable(); - auto baseline = checked_baseline(service_baseline, "service_baseline"); - install(std::move(baseline), checked_baseline(reservation_baseline, "reservation_baseline")); + install(std::move(baseline), std::move(reservation)); } void FlowLedger::check_resettable() const { @@ -343,6 +363,7 @@ std::int64_t LedgerAccess::bind(FlowLedger& ledger) { } void LedgerAccess::release(FlowLedger& ledger, std::int64_t owner) noexcept { + const auto guard = lock(ledger); const auto it = ledger.policy_bindings_.find(owner); if (it == ledger.policy_bindings_.end() || !it->second) return; --ledger.num_bound_policies_; diff --git a/src/flow_policy.cpp b/src/flow_policy.cpp index 8b8b46e..d7acf0b 100644 --- a/src/flow_policy.cpp +++ b/src/flow_policy.cpp @@ -464,8 +464,6 @@ std::string key(NodeId v) { return std::to_string(v); } // What a call computes. place(v) continues the epoch `cur` (the policy's); evaluate, replace and // forward start from a fresh epoch (forward keeps the installed program) on the released view. -enum class PolicyOperation { Place, Evaluate, Replace, Forward }; - struct PolicyCall { PolicyOperation operation {PolicyOperation::Place}; std::optional offer {}; // nullopt: +inf @@ -1510,7 +1508,7 @@ std::vector reservation_view(const PolicyEngine& pe, const LedgerTotals& } // The design volume of a tunnel model's call: the explicit design, or the offer (nullopt: -// unlimited; T1's is finite, checked by check_call). +// unlimited; T1's is finite, checked by check_call_state). std::optional design_of(const PolicyCall& rq) noexcept { return rq.design.has_value() ? *rq.design : rq.offer; } // The plan of a T1 setup for the design D: the tunnel count, D, the heads' shares and the holds @@ -1862,22 +1860,28 @@ namespace { // The engine of a new policy, bound to its ledger as the last step. A supplied frozen cache's hit // is recorded in `tally`: the public constructor publishes it once construction has // succeeded, an evaluator once its whole call has. -std::unique_ptr make_engine(FlowLedger& ledger, std::span sources, - std::span destinations, FlowPolicyConfig config, - const Eligibility* eligibility, ShortestPathCache* cache, detail::FrozenCacheHitTally& tally) { - auto pe = std::make_unique(ledger, std::move(config)); - pe->graph = ledger.graph(); - const auto& g = *pe->graph; +struct ConstructionInputs { + FlowPolicyConfig config; + std::vector sources, destinations, reachable_sources; + const Eligibility* eligibility {nullptr}; + std::unique_ptr support_mask; + Cost c0 {0}; +}; + +template +void prepare_arguments(Prepared& pe, const Graph& g, std::span sources, + std::span destinations, const Eligibility* eligibility, const ShortestPathCache* cache, + const detail::TunnelRoster* roster = nullptr, detail::ArgumentWork search = nullptr) { // The endpoints, then the ownership of the mask, the program, the support, the cache and the // black holes, then the configuration. - pe->sources = detail::node_set(sources, g.num_nodes(), "sources"); - pe->destinations = detail::node_set(destinations, g.num_nodes(), "destinations"); - detail::check_disjoint(pe->sources, pe->destinations, "sources", "destinations"); + pe.sources = detail::node_set(sources, g.num_nodes(), "sources"); + pe.destinations = detail::node_set(destinations, g.num_nodes(), "destinations"); + detail::check_disjoint(pe.sources, pe.destinations, "sources", "destinations"); if (eligibility != nullptr && eligibility->graph_uid() != g.uid()) { throw std::invalid_argument("foreign Eligibility: built for another graph"); } - const auto* pinned = std::get_if(&pe->config.routing); - const auto* global = std::get_if(&pe->config.routing); + const auto* pinned = std::get_if(&pe.config.routing); + const auto* global = std::get_if(&pe.config.routing); if (pinned != nullptr) { if (!pinned->program) throw std::invalid_argument("Pinned requires a program"); if (pinned->program->graph_uid() != g.uid()) throw std::invalid_argument("program belongs to another graph"); @@ -1891,34 +1895,75 @@ std::unique_ptr make_engine(FlowLedger& ledger, std::spanblack_holes && pinned->black_holes->graph_uid() != g.uid()) { throw std::invalid_argument("black_holes belongs to another graph"); } - pe->eligibility = eligibility; - detail::check_config(pe->config, cache != nullptr, g.num_edges(), pe->sources.size()); - pe->config = detail::resolved_config(std::move(pe->config)); - if (global != nullptr && global->support && global->tunnel_count.has_value()) { - // T2 on a support: the support's edges intersected with the mask are the allowed links of every - // step (roster, sizing, objectives, decomposition, the programs' replay basis). - std::vector xn; - std::vector xe; - const auto kept = detail::PredecessorDAGBuilder::ascending(*global->support); - for (NodeId v = 0; v < g.num_nodes(); ++v) { - if (eligibility != nullptr && !eligibility->allows_node(v)) xn.push_back(v); - } - for (EdgeId e = 0; e < g.num_edges(); ++e) { - const bool in_support = std::binary_search(kept.begin(), kept.end(), e); - if (!in_support || (eligibility != nullptr && !eligibility->allows_edge(e))) xe.push_back(e); - } - pe->support_mask = std::make_unique(g.eligibility(xn, xe)); - eligibility = pe->support_mask.get(); - pe->eligibility = eligibility; + pe.eligibility = eligibility; + detail::check_config(pe.config, cache != nullptr, g.num_edges(), pe.sources.size()); + // Only ShortestPaths has absent defaults to resolve. The other models keep + // their already-validated snapshot without moving the routing variant. + if (std::holds_alternative(pe.config.routing)) { + pe.config = detail::resolved_config(std::move(pe.config)); } if (pinned != nullptr) { const auto& prog = *pinned->program; - if (!std::equal(prog.sources().begin(), prog.sources().end(), pe->sources.begin(), pe->sources.end()) || - !std::equal(prog.destinations().begin(), prog.destinations().end(), pe->destinations.begin(), - pe->destinations.end())) { + if (!std::equal(prog.sources().begin(), prog.sources().end(), pe.sources.begin(), pe.sources.end()) || + !std::equal(prog.destinations().begin(), prog.destinations().end(), pe.destinations.begin(), pe.destinations.end())) { throw std::invalid_argument("program endpoints do not match policy endpoints"); } } + if (std::holds_alternative(pe.config.routing) || (global != nullptr && global->tunnel_count.has_value())) { + auto work = [&] { + if (global != nullptr && global->support && global->tunnel_count.has_value()) { + // T2 on a support: the support's edges intersected with the mask are the allowed links of every + // step (roster, sizing, objectives, decomposition, the programs' replay basis). + std::vector xn; + std::vector xe; + const auto kept = detail::PredecessorDAGBuilder::ascending(*global->support); + for (NodeId v = 0; v < g.num_nodes(); ++v) { + if (eligibility != nullptr && !eligibility->allows_node(v)) xn.push_back(v); + } + for (EdgeId e = 0; e < g.num_edges(); ++e) { + const bool in_support = std::binary_search(kept.begin(), kept.end(), e); + if (!in_support || (eligibility != nullptr && !eligibility->allows_edge(e))) xe.push_back(e); + } + pe.support_mask = std::make_unique(g.eligibility(xn, xe)); + eligibility = pe.support_mask.get(); + pe.eligibility = eligibility; + } + // The tunnel count's roster is immutable. Validate it in the argument pass, without + // consulting a cache or ledger state; retain the roster for native construction. + { + if (roster != nullptr) { + pe.reachable_sources = roster->heads; + pe.c0 = roster->c0; + } else { + std::vector allowed; + for (NodeId d : pe.destinations) if (eligibility == nullptr || eligibility->allows_node(d)) allowed.push_back(d); + detail::concurrent_event(detail::ConcurrentStage::TunnelRosterSearch, &g); + const auto dist = detail::static_costs(g, eligibility, allowed, pe.sources); + pe.c0 = kUnreachable; + for (std::size_t i = 0; i < pe.sources.size(); ++i) { + if ((eligibility == nullptr || eligibility->allows_node(pe.sources[i])) && dist[i] != kUnreachable) { + pe.reachable_sources.push_back(pe.sources[i]); + pe.c0 = std::min(pe.c0, dist[i]); + } + } + detail::check_tunnel_limit(pe.config, pe.reachable_sources.size()); + } + } + }; + if (search != nullptr) { + search([](void* context) { (*static_cast(context))(); }, &work); + } else work(); + } +} + +std::unique_ptr finish_engine(std::unique_ptr pe, ShortestPathCache* cache, + detail::FrozenCacheHitTally& tally) { + auto& ledger = pe->ledger; + (void)LedgerAccess::baseline(ledger); // mutable usability, after all immutable checks + const auto& g = *pe->graph; + auto* eligibility = pe->eligibility; + const auto* pinned = std::get_if(&pe->config.routing); + const auto* global = std::get_if(&pe->config.routing); if (const auto* sp = std::get_if(&pe->config.routing)) { pe->route_choice = detail::RouteChoice {sp->tie_break, sp->multipath, sp->parallel_edges}; } else if (const auto* ca = std::get_if(&pe->config.routing)) { @@ -1966,6 +2011,7 @@ std::unique_ptr make_engine(FlowLedger& ledger, std::spanallowed_destinations, pe->sources); pe->c0 = kUnreachable; for (std::size_t i = 0; i < pe->sources.size(); ++i) { @@ -1974,6 +2020,7 @@ std::unique_ptr make_engine(FlowLedger& ledger, std::spanreachable_sources.push_back(s); pe->c0 = std::min(pe->c0, dist[i]); } + } detail::check_tunnel_limit(pe->config, pe->reachable_sources.size()); if (eligibility != nullptr && eligibility->uid() != 0) { // Its programs' replay basis: the topology under this mask. @@ -1993,19 +2040,56 @@ std::unique_ptr make_engine(FlowLedger& ledger, std::span detail::check_policy_construction(const Graph& graph, std::span sources, + std::span destinations, const FlowPolicyConfig& config, + const Eligibility* eligibility, const ShortestPathCache* cache, detail::ArgumentWork search) { + ConstructionInputs prepared {config, {}, {}, {}, nullptr, {}, 0}; + prepare_arguments(prepared, graph, sources, destinations, eligibility, cache, nullptr, search); + const auto* global = std::get_if(&config.routing); + if (std::holds_alternative(config.routing) || (global && global->tunnel_count.has_value())) { + return detail::TunnelRoster {std::move(prepared.reachable_sources), prepared.c0}; + } + return std::nullopt; +} + +std::unique_ptr detail::PolicyAccess::prepare(FlowLedger& ledger, std::span sources, + std::span destinations, FlowPolicyConfig config, const Eligibility* eligibility, ShortestPathCache* cache, const detail::TunnelRoster* roster, detail::ArgumentWork search) { + auto pe = std::make_unique(ledger, std::move(config)); + pe->graph = LedgerAccess::graph(ledger); + prepare_arguments(*pe, *pe->graph, sources, destinations, eligibility, cache, roster, search); + return pe; +} + +FlowPolicy::FlowPolicy() noexcept = default; +std::unique_ptr detail::PolicyAccess::shell() { return std::unique_ptr(new FlowPolicy); } + +void detail::PolicyAccess::construct(FlowPolicy& policy, std::unique_ptr prepared, ShortestPathCache* cache) { + (void)detail::frozen_call(cache, [&](detail::FrozenCacheHitTally& tally) { + const auto gate = LedgerAccess::lock(prepared->ledger); + policy.engine_ = finish_engine(std::move(prepared), cache, tally); + detail::publication_event(detail::ConcurrentStage::PolicyEngineInstalled, &policy); + policy.ready_.store(true, std::memory_order_release); + return true; + }); +} + FlowPolicy::FlowPolicy(FlowLedger& ledger, std::span sources, std::span destinations, - FlowPolicyConfig config, const Eligibility* eligibility, ShortestPathCache* cache) - : engine_(detail::frozen_call(cache, [&](detail::FrozenCacheHitTally& tally) { - return make_engine(ledger, sources, destinations, std::move(config), eligibility, cache, tally); - })) {} + FlowPolicyConfig config, const Eligibility* eligibility, ShortestPathCache* cache) { + auto prepared = detail::PolicyAccess::prepare(ledger, sources, destinations, std::move(config), eligibility, cache); + detail::PolicyAccess::construct(*this, std::move(prepared), cache); +} FlowPolicy::FlowPolicy(FlowLedger& ledger, std::span sources, std::span destinations, - FlowPolicyConfig config, const Eligibility* eligibility, ShortestPathCache* cache, detail::FrozenCacheHitTally& tally) - : engine_(make_engine(ledger, sources, destinations, std::move(config), eligibility, cache, tally)) {} + FlowPolicyConfig config, const Eligibility* eligibility, ShortestPathCache* cache, detail::FrozenCacheHitTally& tally, const detail::TunnelRoster* roster) { + auto prepared = detail::PolicyAccess::prepare(ledger, sources, destinations, std::move(config), eligibility, cache, roster); + const auto gate = LedgerAccess::lock(ledger); + engine_ = finish_engine(std::move(prepared), cache, tally); + detail::publication_event(detail::ConcurrentStage::PolicyEngineInstalled, this); + ready_.store(true, std::memory_order_release); +} -// The destruction law: the records stay in the ledger as orphans. -FlowPolicy::~FlowPolicy() { LedgerAccess::release(engine_->ledger, engine_->policy_id); } +// The destruction law: the records stay in the ledger as orphans. A failed shell owns none. +FlowPolicy::~FlowPolicy() noexcept { if (engine_) LedgerAccess::release(engine_->ledger, engine_->policy_id); } namespace detail { namespace { @@ -2091,28 +2175,30 @@ void check_place_operation(const PolicyEngine& pe) { void check_forward_operation(const PolicyEngine& pe) { if (is(pe)) invalid("Pinned forwards with replace"); - if (!pe.epoch.program) invalid("forward requires an installed program"); } -namespace { - -// The call's validation (before any change, also before the zero shortcut), in this order: the -// operation for the model (T1's and T2's place) and an installed program (forward), the offer, a -// Lossy full offer's finiteness, the design demand (the model, its domain, T1's finiteness), a -// finite place after +inf, the requested total's limit, the black holes' graph. -void check_call(const PolicyEngine& pe, const PolicyCall& rq) { +void check_policy_offer(const PolicyEngine& pe, PolicyOperation operation, std::optional offer) { const bool lossy = pe.config.admission == Admission::Lossy; - const bool t1 = is(pe); - if (rq.operation == PolicyOperation::Place) check_place_operation(pe); - if (rq.operation == PolicyOperation::Forward) check_forward_operation(pe); - if (rq.offer.has_value() && (*rq.offer < 0 || *rq.offer >= kDomainLimit)) { + if (operation == PolicyOperation::Place) check_place_operation(pe); + if (operation == PolicyOperation::Forward) check_forward_operation(pe); + if (offer.has_value() && (*offer < 0 || *offer >= kDomainLimit)) { invalid("offer must be an integer in [0, 2^62) or permitted +inf"); } // A Lossy full offer is finite; ShortestPaths's place(+inf) is its first-hop experiment. - if (lossy && !rq.offer.has_value() && (rq.is_full_offer() || is(pe))) invalid("LOSSY forwarding requires a finite offer"); + if (lossy && !offer.has_value() && ((operation != PolicyOperation::Place) || is(pe))) invalid("LOSSY forwarding requires a finite offer"); +} +void check_policy_design_model(const PolicyEngine& pe) { + if (!tunnel_model(pe)) invalid(std::string(model_name(pe.config.routing)) + " does not accept design_demand"); +} + +void check_policy_arguments(const PolicyEngine& pe, PolicyOperation operation, std::optional offer, + const std::optional>& design, const Eligibility* black_holes) { + const PolicyCall rq {operation, offer, design, black_holes}; + check_policy_offer(pe, operation, offer); + const bool t1 = is(pe); // The design demand: the tunnel models' alone, in its domain, T1's finite (absent: the offer). if (rq.design.has_value()) { - if (!tunnel_model(pe)) invalid(std::string(model_name(pe.config.routing)) + " does not accept design_demand"); + check_policy_design_model(pe); if (rq.design->has_value() && (**rq.design < 0 || **rq.design >= kDomainLimit)) { invalid("design_demand must be an integer in [0, 2^62) or permitted +inf"); } @@ -2120,6 +2206,14 @@ void check_call(const PolicyEngine& pe, const PolicyCall& rq) { if (t1 && rq.operation != PolicyOperation::Forward && (rq.design.has_value() ? !rq.design->has_value() : !rq.offer.has_value())) { invalid("DistributedTE requires a finite design demand"); } + if (rq.operation == PolicyOperation::Forward && rq.black_holes != nullptr && rq.black_holes->graph_uid() != pe.graph->uid()) { + invalid("black_holes belongs to another graph"); + } +} + +namespace { +void check_call_state(const PolicyEngine& pe, const PolicyCall& rq) { + if (rq.operation == PolicyOperation::Forward && !pe.epoch.program) invalid("forward requires an installed program"); if (rq.operation == PolicyOperation::Place) { if (pe.epoch.infinite && rq.offer.has_value()) invalid("finite placement after infinite placement requires a new epoch"); // The only check of the cumulative request: nothing changes the requested total between here @@ -2129,9 +2223,6 @@ void check_call(const PolicyEngine& pe, const PolicyCall& rq) { if (!probe.add(*rq.offer)) invalid("requested limit exceeded"); } } - if (rq.operation == PolicyOperation::Forward && rq.black_holes != nullptr && rq.black_holes->graph_uid() != pe.graph->uid()) { - invalid("black_holes belongs to another graph"); - } } // The computation of a call: nothing published. A full-offer call works on the residual with @@ -2182,25 +2273,25 @@ PendingPolicyUpdate compute(const PolicyEngine& pe, const PolicyCall& rq) { // The publication: the ledger's one atomic exchange (a place commits every live record and the new // ones; a full-offer call retires the live ones and creates the new ones), then the epoch. void publish(PolicyEngine& pe, PendingPolicyUpdate& s, bool full) { + concurrent_event(ConcurrentStage::BeforePublication, &pe.ledger); const auto ids = full ? LedgerAccess::exchange(pe.ledger, pe.policy_id, s.drafts) : LedgerAccess::commit(pe.ledger, pe.policy_id, s.drafts); + publication_event(ConcurrentStage::AfterLedgerExchange, &pe.ledger); // Committed: the epoch state follows (nothing below throws). for (std::size_t n = 0; n < s.fresh.size(); ++n) s.next_epoch.record_groups[s.fresh[n].first][s.fresh[n].second].record_counter = ids[n].second; pe.epoch = std::move(s.next_epoch); } -// A publishing call (place, replace, forward; evaluate computes without it). `before_publish` -// (optional) runs once the call's result and trace are final and before anything is published (the -// ledger commit, the epoch state): an exception from it aborts the call with nothing changed (the -// Python binding builds its result objects there). -PlacementResult run_call(PolicyEngine& pe, const PolicyCall& rq, const std::function* before_publish) { - check_call(pe, rq); +// A publishing call: compute and finish every fallible result/trace step before +// the ledger exchange. The gate remains held through the complete epoch update. +PlacementResult run_call(PolicyEngine& pe, const PolicyCall& rq) { + check_policy_arguments(pe, rq.operation, rq.offer, rq.design, rq.black_holes); + const auto gate = LedgerAccess::lock(pe.ledger); + check_call_state(pe, rq); if (rq.operation == PolicyOperation::Place && rq.offer.has_value() && *rq.offer == 0) { PlacementResult out = zero_state(pe, rq.totals, *rq.outputs); - if (before_publish != nullptr && *before_publish) (*before_publish)(); return out; } PendingPolicyUpdate s = compute(pe, rq); - if (before_publish != nullptr && *before_publish) (*before_publish)(); PlacementResult out = std::move(s.result); publish(pe, s, rq.is_full_offer()); return out; @@ -2215,10 +2306,10 @@ struct ListAction { }; // The list's validation, before anything is computed: the ledger, the mode, then each -// action in list order, all of its checks before the next one's (ownership, the duplicate rule, -// the SIMULTANEOUS rules, the scalar call's own checks). +// action's argument/immutable checks in list order (ownership, the duplicate rule, +// the SIMULTANEOUS rules, the scalar call's immutable checks). Mutable checks run +// in list order under the gate, after this entire first pass succeeds. std::vector validate_list(FlowLedger& ledger, std::span actions, BatchMode mode, const OutputOptions& outputs) { - (void)LedgerAccess::baseline(ledger); // a moved-from ledger: std::logic_error switch (mode) { case BatchMode::Ordered: case BatchMode::Simultaneous: break; @@ -2226,7 +2317,7 @@ std::vector validate_list(FlowLedger& ledger, std::span out; out.reserve(actions.size()); - std::set seen; + std::set seen; for (const Action& a : actions) { ListAction x; FlowPolicy* policy = nullptr; @@ -2250,7 +2341,7 @@ std::vector validate_list(FlowLedger& ledger, std::span(pe) && @@ -2260,7 +2351,7 @@ std::vector validate_list(FlowLedger& ledger, std::span list, std::span> created(owners.size()); + concurrent_event(ConcurrentStage::BeforePublication, &ledger); LedgerAccess::commit_batch(ledger, owners, created); + publication_event(ConcurrentStage::AfterLedgerExchange, &ledger); for (std::size_t k = 0; k < which.size(); ++k) { PendingPolicyUpdate& s = pending[which[k]]; for (std::size_t n = 0; n < s.fresh.size(); ++n) s.next_epoch.record_groups[s.fresh[n].first][s.fresh[n].second].record_counter = created[k][n].second; @@ -2460,45 +2553,59 @@ std::vector run_simultaneous(FlowLedger& ledger, std::span offer, const OutputOptions& outputs) { - return detail::run_call(*engine_, detail::PolicyCall {detail::PolicyOperation::Place, offer, {}, nullptr, &outputs, nullptr}, nullptr); +void detail::check_list_arguments(FlowLedger& ledger, std::span actions, BatchMode mode, const OutputOptions& outputs) { + (void)validate_list(ledger, actions, mode, outputs); +} + +PlacementResult FlowPolicy::place(std::optional offer, const OutputOptions& input_outputs) { + const OutputOptions outputs = input_outputs; + return detail::run_call(*engine_, detail::PolicyCall {detail::PolicyOperation::Place, offer, {}, nullptr, &outputs, nullptr}); } PlacementResult FlowPolicy::evaluate(std::optional offer, const std::optional>& design_demand, - const OutputOptions& outputs) const { + const OutputOptions& input_outputs) const { + const OutputOptions outputs = input_outputs; const detail::PolicyCall rq {detail::PolicyOperation::Evaluate, offer, design_demand, nullptr, &outputs, nullptr}; - detail::check_call(*engine_, rq); + detail::check_policy_arguments(*engine_, rq.operation, rq.offer, rq.design, rq.black_holes); + const auto gate = LedgerAccess::lock(engine_->ledger); + detail::check_call_state(*engine_, rq); return std::move(detail::compute(*engine_, rq).result); } PlacementResult FlowPolicy::replace(std::optional offer, const std::optional>& design_demand, - const OutputOptions& outputs) { - return detail::run_call(*engine_, detail::PolicyCall {detail::PolicyOperation::Replace, offer, design_demand, nullptr, &outputs, nullptr}, - nullptr); + const OutputOptions& input_outputs) { + const OutputOptions outputs = input_outputs; + return detail::run_call(*engine_, detail::PolicyCall {detail::PolicyOperation::Replace, offer, design_demand, nullptr, &outputs, nullptr}); } PlacementResult FlowPolicy::forward(std::optional offer, const Eligibility* black_holes, - const OutputOptions& outputs) { - return detail::run_call(*engine_, detail::PolicyCall {detail::PolicyOperation::Forward, offer, {}, black_holes, &outputs, nullptr}, - nullptr); + const OutputOptions& input_outputs) { + const OutputOptions outputs = input_outputs; + return detail::run_call(*engine_, detail::PolicyCall {detail::PolicyOperation::Forward, offer, {}, black_holes, &outputs, nullptr}); } #if NETGRAPH_CORE_PRIVATE_HOOKS -PlacementResult detail::place_traced(FlowPolicy& policy, std::optional offer, const OutputOptions& outputs, - Trace& trace, const std::function* before_publish) { +PlacementResult detail::place_traced(FlowPolicy& policy, std::optional offer, const OutputOptions& input_outputs, + Trace& trace) { + const OutputOptions outputs = input_outputs; trace = Trace::map(); - return run_call(PolicyAccess::engine(policy), PolicyCall {PolicyOperation::Place, offer, {}, nullptr, &outputs, &trace}, before_publish); + return run_call(PolicyAccess::engine(policy), PolicyCall {PolicyOperation::Place, offer, {}, nullptr, &outputs, &trace}); } #endif -std::vector apply_actions(FlowLedger& ledger, std::span actions, BatchMode mode, const OutputOptions& outputs) { +std::vector apply_actions(FlowLedger& ledger, std::span actions, BatchMode mode, const OutputOptions& input_outputs) { + const OutputOptions outputs = input_outputs; auto list = detail::validate_list(ledger, actions, mode, outputs); + const auto gate = LedgerAccess::lock(ledger); + (void)LedgerAccess::baseline(ledger); + for (const auto& action : list) detail::check_call_state(*action.engine, action.call); if (list.empty()) return {}; return mode == BatchMode::Ordered ? detail::run_ordered(ledger, list, outputs) : detail::run_simultaneous(ledger, list, outputs); } void FlowPolicy::remove() { auto& pe = *engine_; + const auto gate = LedgerAccess::lock(pe.ledger); (void)LedgerAccess::detach(pe.ledger, pe.policy_id); // A new epoch (nothing below throws): the same number of cohorts, every one empty. for (auto& c : pe.epoch.record_groups) c.clear(); @@ -2516,6 +2623,7 @@ void FlowPolicy::remove() { Amount FlowPolicy::delivered() const { const auto& pe = *engine_; + const auto gate = LedgerAccess::lock(pe.ledger); Amount total = 0; for (const auto& c : pe.epoch.record_groups) { for (const auto& s : c) total += LedgerAccess::live(pe.ledger, s.record_counter).delivered; @@ -2525,6 +2633,7 @@ Amount FlowPolicy::delivered() const { std::vector FlowPolicy::records() const { const auto& pe = *engine_; + const auto gate = LedgerAccess::lock(pe.ledger); std::vector ids; for (const auto& c : pe.epoch.record_groups) { for (const auto& s : c) ids.push_back(s.record_counter); @@ -2538,9 +2647,10 @@ std::vector FlowPolicy::records() const { FlowRecord FlowPolicy::record(const FlowId& flow_id) const { const auto& pe = *engine_; + const auto gate = LedgerAccess::lock(pe.ledger); const FlowLedger& fg = pe.ledger; // The ledger's checks first (another ledger, a retired or unknown id), then the owner. - FlowRecord rec = fg.record(flow_id); + FlowRecord rec = LedgerAccess::record(fg, flow_id); if (rec.policy_id != pe.policy_id) { throw std::invalid_argument("FlowId (" + std::to_string(flow_id.first) + ", " + std::to_string(flow_id.second) + ") is not a record of this policy"); @@ -2548,7 +2658,10 @@ FlowRecord FlowPolicy::record(const FlowId& flow_id) const { return rec; } -std::shared_ptr FlowPolicy::program() const noexcept { return engine_->epoch.program; } +std::shared_ptr FlowPolicy::program() const { + const auto gate = LedgerAccess::lock(engine_->ledger); + return engine_->epoch.program; +} const FlowPolicyConfig& FlowPolicy::config() const noexcept { return engine_->config; } diff --git a/src/forwarding_program.cpp b/src/forwarding_program.cpp index 239e7a8..e18e720 100644 --- a/src/forwarding_program.cpp +++ b/src/forwarding_program.cpp @@ -17,6 +17,7 @@ #include "netgraph/core/detail/endpoints.hpp" #include "netgraph/core/detail/enum_domain.hpp" #include "netgraph/core/detail/program_data.hpp" +#include "netgraph/core/detail/concurrency.hpp" #include "netgraph/core/detail/route_builders.hpp" namespace netgraph::core { @@ -396,25 +397,10 @@ void check_route_vectors(const Graph& graph, const RouteOptions& options) { } // namespace -std::shared_ptr ForwardingProgram::from_routes(const Graph& graph, std::span sources, - std::span destinations, - std::span routes, - const RouteOptions& options) { +detail::ProgramData detail::check_route_definitions(const Graph& graph, std::span src, + std::span dst, std::span routes, const RouteOptions& options) { using detail::invalid; using detail::route_at; - // 1. The endpoint sets. - auto src = detail::node_set(sources, graph.num_nodes(), "sources"); - auto dst = detail::node_set(destinations, graph.num_nodes(), "destinations"); - detail::check_disjoint(src, dst, "sources", "destinations"); - // 2. The list. - if (routes.empty()) invalid("routes must not be empty"); - // 3 to 5. The options. - bool any_dag = false; - for (const auto& r : routes) any_dag = any_dag || std::holds_alternative>(r.route); - detail::check_route_options("from_routes", any_dag, options.allocation, options.weight_basis, - options.edge_weights.has_value(), options.residual.has_value()); - // 6. The vectors' lengths and entries. - check_route_vectors(graph, options); // 7. Each route in list order, its entry made as soon as it is checked (a later route's failure // discards the program being made). The roster is the sources with a route. const auto edge_destinations = graph.edge_destinations(); @@ -432,10 +418,9 @@ std::shared_ptr ForwardingProgram::from_routes(const Gr p->entries.reserve(routes.size()); p->split_contexts.reserve(num_dags); p->tunnels.reserve(routes.size() - num_dags); - // The destination flags, made for the first Path (a tunnel's end and its earlier hops). - std::vector is_dst; for (std::size_t i = 0; i < routes.size(); ++i) { const auto& r = routes[i]; + detail::concurrent_event(detail::ConcurrentStage::RouteDefinitionCheck, &r); const auto* path = std::get_if>(&r.route); const auto* dag = std::get_if>(&r.route); if ((path != nullptr && !*path) || (dag != nullptr && !*dag)) invalid(route_at(i) + "route is null"); @@ -449,10 +434,6 @@ std::shared_ptr ForwardingProgram::from_routes(const Gr entry.head = r.head; entry.weight = r.weight; if (path != nullptr) { - if (is_dst.empty()) { - is_dst.assign(static_cast(graph.num_nodes()), 0); - for (NodeId d : dst) is_dst[static_cast(d)] = 1; - } const auto& hops = (*path)->hops(); for (const auto& hop : hops) { if (hop.size() != 1) invalid(route_at(i) + "a tunnel has one edge per hop"); @@ -460,12 +441,12 @@ std::shared_ptr ForwardingProgram::from_routes(const Gr if ((*path)->source() != r.head) { invalid(route_at(i) + "the path starts at " + std::to_string((*path)->source()) + ", not at head " + std::to_string(r.head)); } - if (is_dst[static_cast((*path)->destination())] == 0) { + if (!std::binary_search(dst.begin(), dst.end(), (*path)->destination())) { invalid(route_at(i) + "the path ends at " + std::to_string((*path)->destination()) + ", not at a destination"); } for (std::size_t h = 0; h + 1 < hops.size(); ++h) { const NodeId v = edge_destinations[static_cast(hops[h].front())]; - if (is_dst[static_cast(v)] != 0) { + if (std::binary_search(dst.begin(), dst.end(), v)) { invalid(route_at(i) + "the path meets destination " + std::to_string(v) + " before its end"); } } @@ -476,9 +457,6 @@ std::shared_ptr ForwardingProgram::from_routes(const Gr t.destination = (*path)->destination(); t.path_cost = (*path)->cost(); t.weight = r.weight; - auto& edges = t.edges.emplace(); - edges.reserve(hops.size()); - for (const auto& hop : hops) edges.push_back(hop.front()); entry.tunnel_position = static_cast(p->tunnels.size()); entry.min_route_cost = (*path)->cost(); p->tunnels.push_back(std::move(t)); @@ -506,7 +484,49 @@ std::shared_ptr ForwardingProgram::from_routes(const Gr // One split route of positive weight forwards in its pooled form (its plan's kernels). The // roster: the heads with a route. p->pools_source_inflows = p->entries.size() == 1 && p->tunnels.empty() && p->entries.front().weight > 0; - p->initialize_storage(src, dst, std::nullopt); + return data; +} + +std::shared_ptr ForwardingProgram::from_routes(const Graph& graph, std::span sources, + std::span destinations, + std::span routes, + const RouteOptions& options) { + using detail::invalid; + using detail::route_at; + // 1. The endpoint sets. + auto src = detail::node_set(sources, graph.num_nodes(), "sources"); + auto dst = detail::node_set(destinations, graph.num_nodes(), "destinations"); + detail::check_disjoint(src, dst, "sources", "destinations"); + // 2. The list. + if (routes.empty()) invalid("routes must not be empty"); + // 3 to 5. The options. + bool any_dag = false; + for (const auto& r : routes) any_dag = any_dag || std::holds_alternative>(r.route); + detail::check_route_options("from_routes", any_dag, options.allocation, options.weight_basis, + options.edge_weights.has_value(), options.residual.has_value()); + // 6. The vectors' lengths and entries. + check_route_vectors(graph, options); + auto checked = detail::check_route_definitions(graph, src, dst, routes, options); + return detail::ProgramAccess::from_checked_routes(src, dst, routes, std::move(checked)); +} + +std::shared_ptr detail::ProgramAccess::from_checked_routes( + std::span src, std::span dst, + std::span routes, ProgramData&& data) { + // Path checks are complete; copy their hops in the construction phase. A + // DAG-only call already owns every plan and needs no second route dispatch. + if (!data.tunnels.empty()) { + std::size_t tunnel = 0; + for (const auto& r : routes) { + if (const auto* path = std::get_if>(&r.route)) { + const auto& hops = (*path)->hops(); + auto& edges = data.tunnels[tunnel++].edges.emplace(); + edges.reserve(hops.size()); + for (const auto& hop : hops) edges.push_back(hop.front()); + } + } + } + data.initialize_storage(src, dst, std::nullopt); return detail::ProgramAccess::make(std::move(data)); } diff --git a/src/graph.cpp b/src/graph.cpp index e4e39ec..b13bb61 100644 --- a/src/graph.cpp +++ b/src/graph.cpp @@ -49,6 +49,7 @@ #include "netgraph/core/detail/graph_access.hpp" #include "netgraph/core/detail/hooks_flag.hpp" #include "netgraph/core/detail/uid.hpp" +#include "netgraph/core/detail/unit_conversion.hpp" namespace netgraph::core { @@ -323,18 +324,8 @@ Amount to_units(double x, double resolution) { if (x < 0.0) { throw std::invalid_argument("to_units: a negative amount has no unit value"); } - // x / q is exact (q is a power of two) unless it overflows to infinity or falls below the - // normal range (below 2^-1022 it may lose low bits; it then rounds to 0 units either way). - const double y = std::ldexp(x, -k); - constexpr double kTwo52 = 4503599627370496.0; // 2^52: doubles at or above it are integers constexpr double kLimit = 4611686018427387904.0; // 2^62 - double r; - if (y >= kTwo52) { - r = y; - } else { - const double f = std::floor(y); - r = (y - f >= 0.5) ? f + 1.0 : f; // y - f is exact below 2^52: round half up - } + const double r = detail::rounded_units(x, k); if (!(r < kLimit)) { throw std::invalid_argument( "to_units: the amount is at or above the bound of the units domain (2^62 units)"); @@ -344,7 +335,7 @@ Amount to_units(double x, double resolution) { double as_float(Amount x, double resolution) { const int k = resolution_exponent(resolution); - return std::ldexp(static_cast(x), k); + return detail::scaled_units(x, k); } Graph::Graph(std::int32_t num_nodes, diff --git a/src/route_kernels.cpp b/src/route_kernels.cpp index 4fdf7b4..331c555 100644 --- a/src/route_kernels.cpp +++ b/src/route_kernels.cpp @@ -19,6 +19,7 @@ #include #include "netgraph/core/detail/enum_domain.hpp" +#include "netgraph/core/detail/concurrency.hpp" #include "netgraph/core/detail/int128.hpp" #include "netgraph/core/detail/route_builders.hpp" @@ -252,6 +253,7 @@ DagScratch& dag_scratch() { template void build_split(const Graph& graph, const PredecessorDAG& dag, std::span roots, std::span destinations, Keep keep, PreparedRoute* out, Cost* cost) { + concurrent_event(ConcurrentStage::RouteWalk, &dag); if (cost != nullptr) *cost = kUnreachable; const auto parents = dag.parents(); const auto via = dag.via_edges(); diff --git a/src/route_structures.cpp b/src/route_structures.cpp index fce7b77..89d1cb5 100644 --- a/src/route_structures.cpp +++ b/src/route_structures.cpp @@ -18,7 +18,7 @@ std::string idx(std::size_t i) { return std::to_string(i); } } // namespace -PredecessorDAG PredecessorDAG::from_csr(const Graph& graph, std::span offsets, +void detail::check_csr(const Graph& graph, std::span offsets, std::span parents, std::span via) { const auto n = static_cast(graph.num_nodes()); const auto m = static_cast(graph.num_edges()); @@ -122,6 +122,17 @@ PredecessorDAG PredecessorDAG::from_csr(const Graph& graph, std::span offsets, + std::span parents, std::span via) { + detail::check_csr(graph, offsets, parents, via); + return detail::PredecessorDAGBuilder::of_csr(graph, offsets, parents, via); +} + +PredecessorDAG detail::PredecessorDAGBuilder::of_csr(const Graph& graph, std::span offsets, + std::span parents, std::span via) { + const auto n = static_cast(graph.num_nodes()); PredecessorDAG out; out.graph_uid_ = graph.uid(); out.num_nodes_ = graph.num_nodes(); @@ -282,7 +293,7 @@ std::size_t PredecessorDAGBuilder::payload_bytes(const PredecessorDAG& dag) noex } // namespace detail -Path::Path(const Graph& graph, std::vector> hops) { +void detail::check_hops(const Graph& graph, const std::vector>& hops) { const auto m = static_cast(graph.num_edges()); // Every member in range before any endpoint is read. for (std::size_t h = 0; h < hops.size(); ++h) { @@ -310,7 +321,6 @@ Path::Path(const Graph& graph, std::vector> hops) { } const auto edge_sources = graph.edge_sources(); const auto edge_destinations = graph.edge_destinations(); - const auto cost = graph.edge_costs(); for (std::size_t h = 0; h < hops.size(); ++h) { const auto first = static_cast(hops[h].front()); for (EdgeId e : hops[h]) { @@ -334,12 +344,8 @@ Path::Path(const Graph& graph, std::vector> hops) { std::vector nodes; nodes.reserve(hops.size() + 1); nodes.push_back(edge_sources[static_cast(hops.front().front())]); - Cost total = 0; for (const auto& hop : hops) { nodes.push_back(edge_destinations[static_cast(hop.front())]); - Cost best = cost[static_cast(hop.front())]; - for (EdgeId e : hop) best = std::min(best, cost[static_cast(e)]); - total += best; } { std::vector sorted(nodes); @@ -347,11 +353,11 @@ Path::Path(const Graph& graph, std::vector> hops) { const auto dup = std::adjacent_find(sorted.begin(), sorted.end()); if (dup != sorted.end()) throw std::invalid_argument("Path: node " + std::to_string(*dup) + " is repeated"); } - graph_uid_ = graph.uid(); - num_nodes_ = graph.num_nodes(); - hops_ = std::move(hops); - nodes_ = std::move(nodes); - cost_ = total; +} + +Path::Path(const Graph& graph, std::vector> hops) { + detail::check_hops(graph, hops); + *this = detail::PathBuilder::of_hops(graph, std::move(hops)); } PredecessorDAG Path::to_dag() const { diff --git a/src/shortest_path_cache.cpp b/src/shortest_path_cache.cpp index 56d21d5..e76ee85 100644 --- a/src/shortest_path_cache.cpp +++ b/src/shortest_path_cache.cpp @@ -6,6 +6,7 @@ #include "netgraph/core/shortest_path_cache.hpp" #include +#include #include #include #include @@ -34,18 +35,40 @@ struct LiveDeleter { // The key function of ShortestPathCacheMiss (shortest_path_cache.hpp): its vtable and type_info live here only. const char* ShortestPathCacheMiss::what() const noexcept { return what_->c_str(); } -ShortestPathCache::ShortestPathCache(const Graph& graph) : graph_uid_(graph.uid()) {} +ShortestPathCache::ShortestPathCache(const Graph& graph) + : gate_(std::make_unique()), graph_uid_(graph.uid()) {} + +ShortestPathCache::~ShortestPathCache() = default; std::shared_ptr ShortestPathCache::lookup(const Graph& graph, std::span roots, Direction direction, const Eligibility* eligibility) { - return lookup_in_call(graph, roots, direction, eligibility, nullptr); + if (graph.uid() != graph_uid_) throw std::invalid_argument("ShortestPathCache: the graph is not the cache's graph (foreign graph)"); + if (eligibility != nullptr && eligibility->graph_uid() != graph.uid()) throw std::invalid_argument("foreign Eligibility: built for another graph"); + // Copy borrowed roots before waiting. Small direct hits need no heap allocation. + std::array small; + std::vector large; + std::span owned; + if (roots.size() <= small.size()) { + owned = std::span(small).first(roots.size()); + std::copy(roots.begin(), roots.end(), owned.begin()); + } else { + large.assign(roots.begin(), roots.end()); + owned = large; + } + if (owned.empty()) (void)detail::node_set(owned, graph.num_nodes(), "roots"); + detail::check_range(owned, graph.num_nodes(), "roots"); + std::sort(owned.begin(), owned.end()); + const auto count = static_cast(std::unique(owned.begin(), owned.end()) - owned.begin()); + detail::check_member(direction, "direction"); + const detail::CacheGate::Lease lease(*gate_); + return lookup_in_call(graph, owned.first(count), direction, eligibility, nullptr); } std::shared_ptr ShortestPathCache::lookup_in_call(const Graph& graph, std::span roots, Direction direction, const Eligibility* eligibility, detail::FrozenCacheHitTally* tally) { // Inside a public call a frozen cache's statistics wait for the call's boundary. - const bool staged = frozen_ && tally != nullptr && tally->cache() == this; + const bool staged = gate_->frozen() && tally != nullptr && tally->cache() == this; // Invalid queries throw before anything is counted. if (graph.uid() != graph_uid_) throw std::invalid_argument("ShortestPathCache: the graph is not the cache's graph (foreign graph)"); if (eligibility != nullptr && eligibility->graph_uid() != graph.uid()) { @@ -73,7 +96,7 @@ std::shared_ptr ShortestPathCache::lookup_in_call(const Gr } return it->second; } - if (frozen_) { + if (gate_->frozen()) { // A frozen miss counts one miss (the lookup found no entry; inside a call, the boundary // counts it) and inserts nothing; the exception is built first, so a failed allocation there // counts nothing. @@ -101,15 +124,26 @@ std::shared_ptr ShortestPathCache::lookup_in_call(const Gr return shared; } -void ShortestPathCache::freeze() noexcept { frozen_ = true; } +void ShortestPathCache::freeze() { + const detail::CacheGate::Lease lease(*gate_, true); + gate_->freeze(true); +} -void ShortestPathCache::thaw() noexcept { frozen_ = false; } +void ShortestPathCache::thaw() { + const detail::CacheGate::Lease lease(*gate_, true); + gate_->freeze(false); +} void ShortestPathCache::clear() { - if (frozen_) { + const detail::CacheGate::Lease lease(*gate_, true); + if (gate_->frozen()) { throw std::invalid_argument( - "ShortestPathCache.clear is rejected while the cache is frozen (join every reader, then thaw() and clear())"); + "ShortestPathCache.clear is rejected while the cache is frozen (thaw() it, then clear())"); } + clear_contents(); +} + +void ShortestPathCache::clear_contents() noexcept { entries_.clear(); num_entries_.store(0, std::memory_order_relaxed); bytes_.store(0, std::memory_order_relaxed); diff --git a/tests/cpp/concurrency_tests.cpp b/tests/cpp/concurrency_tests.cpp new file mode 100644 index 0000000..64841fd --- /dev/null +++ b/tests/cpp/concurrency_tests.cpp @@ -0,0 +1,709 @@ +// Native synchronization, with explicit rendezvous rather than scheduling delays. +#include + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include "netgraph/core/detail/cache_access.hpp" +#include "netgraph/core/detail/concurrency.hpp" +#include "netgraph/core/detail/ledger_access.hpp" +#include "netgraph/core/detail/policy_engine.hpp" +#include "netgraph/core/evaluators.hpp" +#include "netgraph/core/flow_policy.hpp" + +namespace netgraph::core::test { +namespace { + +using detail::CacheGate; +using detail::ConcurrentStage; +using detail::LedgerAccess; +using namespace std::chrono_literals; + +std::shared_ptr one_link() { + return std::make_shared(2, std::vector {0}, std::vector {1}, + std::vector {10}, std::vector {3}, 1.0); +} + +#if NETGRAPH_CORE_PRIVATE_HOOKS +struct Rendezvous { + std::mutex mutex; + std::condition_variable changed; + std::vector stages; + std::optional fail; + std::optional pause; + bool released {false}; + // Reserve before the hook is armed: probe bookkeeping must not allocate while locked. + Rendezvous() { stages.reserve(32); } + static void notify(void* context, ConcurrentStage stage, const void*) { + auto& self = *static_cast(context); + { + std::unique_lock lock(self.mutex); + self.stages.push_back(stage); + self.changed.notify_all(); + if (self.pause == stage && !self.changed.wait_for(lock, 5s, [&] { return self.released; })) { + throw std::runtime_error("native rendezvous timed out"); + } + } + if (self.fail == stage) throw std::runtime_error("injected admission failure"); + } + bool wait(ConcurrentStage stage, std::chrono::milliseconds timeout = 5000ms) { + std::unique_lock lock(mutex); + return changed.wait_for(lock, timeout, [&] { + return std::find(stages.begin(), stages.end(), stage) != stages.end(); + }); + } + void release() { + const std::lock_guard lock(mutex); + released = true; + changed.notify_all(); + } +}; + +struct ProbeScope { + detail::ConcurrentProbe probe; + const detail::ConcurrentProbe* previous; + explicit ProbeScope(Rendezvous& context) + : probe {Rendezvous::notify, &context}, previous(detail::current_concurrent_probe()) { + detail::set_concurrent_probe(&probe); + } + ~ProbeScope() { detail::set_concurrent_probe(previous); } +}; +#endif + +TEST(Concurrency, LedgerReadsWaitAtTheSameGate) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + FlowLedger ledger(one_link()); + FlowPolicy policy(ledger, std::vector{0}, std::vector{1}, {}); + (void)policy.replace(3); + const auto uid = ledger.uid(); + const auto graph = ledger.graph(); + const auto record = policy.records().front(); + const auto program = policy.program(); + const std::vector>> readers { + {"ledger.uid", [&] { EXPECT_EQ(ledger.uid(), uid); }}, + {"ledger.graph", [&] { EXPECT_EQ(ledger.graph(), graph); }}, + {"ledger.edge_capacity_units", [&] { EXPECT_EQ(ledger.edge_capacity_units().front(), 10); }}, + {"ledger.residual", [&] { EXPECT_EQ(ledger.residual(), (std::vector{7})); }}, + {"ledger.carried", [&] { EXPECT_EQ(ledger.carried(), (std::vector{3})); }}, + {"ledger.reserved", [&] { EXPECT_EQ(ledger.reserved(), (std::vector{0})); }}, + {"ledger.unreserved", [&] { EXPECT_EQ(ledger.unreserved(), (std::vector{10})); }}, + {"ledger.records", [&] { const auto rows = ledger.records(); ASSERT_EQ(rows.size(), 1); EXPECT_EQ(rows.front().flow_id, record.flow_id); EXPECT_EQ(rows.front().delivered, 3); }}, + {"ledger.record", [&] { EXPECT_EQ(ledger.record(record.flow_id).delivered, 3); }}, + {"ledger.saturated_boundary_edges", [&] { EXPECT_TRUE(ledger.saturated_boundary_edges(std::vector{0}).empty()); }}, + {"policy.delivered", [&] { EXPECT_EQ(policy.delivered(), 3); }}, + {"policy.records", [&] { const auto rows = policy.records(); ASSERT_EQ(rows.size(), 1); EXPECT_EQ(rows.front().flow_id, record.flow_id); EXPECT_EQ(rows.front().delivered, 3); }}, + {"policy.record", [&] { EXPECT_EQ(policy.record(record.flow_id).delivered, 3); }}, + {"policy.program", [&] { EXPECT_EQ(policy.program(), program); }}, + }; + for (const auto& [name, read] : readers) { + SCOPED_TRACE(name); + auto gate = LedgerAccess::lock(ledger); + Rendezvous rendezvous; + auto result = std::async(std::launch::async, [&] { + const ProbeScope probe(rendezvous); + read(); + }); + EXPECT_TRUE(rendezvous.wait(ConcurrentStage::LedgerWait)); + EXPECT_FALSE(rendezvous.wait(ConcurrentStage::LedgerAcquired, 100ms)); + EXPECT_EQ(result.wait_for(0s), std::future_status::timeout); + gate.unlock(); + result.get(); + } + // Immutable policy configuration is explicitly outside the gate's reader set. + auto gate = LedgerAccess::lock(ledger); + auto immutable = std::async(std::launch::async, [&] { return policy.config().admission; }); + const auto status = immutable.wait_for(5s); + EXPECT_EQ(status, std::future_status::ready); + gate.unlock(); + EXPECT_EQ(immutable.get(), Admission::Lossless); +#else + GTEST_SKIP() << "requires native rendezvous hooks"; +#endif +} + +TEST(Concurrency, PolicyReadinessFollowsEngineInstallation) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + FlowLedger ledger(one_link()); + auto policy = detail::PolicyAccess::shell(); + auto prepared = detail::PolicyAccess::prepare(ledger, std::vector{0}, std::vector{1}, {}, nullptr, nullptr); + Rendezvous rendezvous; + rendezvous.pause = ConcurrentStage::PolicyEngineInstalled; + auto construction = std::async(std::launch::async, [&] { + const ProbeScope probe(rendezvous); + detail::PolicyAccess::construct(*policy, std::move(prepared), nullptr); + }); + const bool paused = rendezvous.wait(ConcurrentStage::PolicyEngineInstalled); + EXPECT_TRUE(paused); + // Read only the atomic readiness bit: a wrong order fails safely even when the + // engine has not yet been installed. Do not dereference an initializing shell. + EXPECT_FALSE(detail::PolicyAccess::constructed(*policy)); + EXPECT_EQ(construction.wait_for(0s), std::future_status::timeout); + rendezvous.release(); + construction.get(); + ASSERT_TRUE(detail::PolicyAccess::constructed(*policy)); + EXPECT_EQ(policy->delivered(), 0); + EXPECT_EQ(policy->place(3).delivered, 3); +#else + GTEST_SKIP() << "requires native rendezvous hooks"; +#endif +} + +// Both frozen readers and building callers enroll behind the lifecycle request. The +// queue marker proves order, independent of when each OS thread happens to run next. +TEST(Concurrency, CacheLifecycleCannotBeOvertaken) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + for (bool frozen : {false, true}) { + CacheGate gate; + { + const CacheGate::Lease lease(gate, true); + gate.freeze(frozen); + } + std::optional active; + active.emplace(gate); + Rendezvous writer_ready; + Rendezvous later_ready; + std::vector order; + std::mutex order_mutex; + auto writer = std::async(std::launch::async, [&] { + const ProbeScope probe(writer_ready); + const CacheGate::Lease lease(gate, true); + const std::lock_guard lock(order_mutex); + order.push_back(1); + }); + EXPECT_TRUE(writer_ready.wait(ConcurrentStage::CacheQueued)); + auto later = std::async(std::launch::async, [&] { + const ProbeScope probe(later_ready); + const CacheGate::Lease lease(gate); + const std::lock_guard lock(order_mutex); + order.push_back(2); + }); + EXPECT_TRUE(later_ready.wait(ConcurrentStage::CacheQueued)); + EXPECT_EQ(writer.wait_for(0s), std::future_status::timeout); + EXPECT_EQ(later.wait_for(0s), std::future_status::timeout); + active.reset(); + writer.get(); + later.get(); + EXPECT_EQ(order, (std::vector {1, 2})); + } +#else + GTEST_SKIP() << "requires native rendezvous hooks"; +#endif +} + +TEST(Concurrency, FailedAdmissionLeavesNoQueuedNodeOrLease) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + for (ConcurrentStage point : {ConcurrentStage::CacheQueued, ConcurrentStage::CacheAcquired}) { + CacheGate gate; + Rendezvous failure; + failure.fail = point; + { + const ProbeScope probe(failure); + EXPECT_THROW((CacheGate::Lease(gate)), std::runtime_error); + } + ASSERT_FALSE(gate.has_waiters()); + // Both a following lifecycle operation and lookup must terminate. CacheQueued + // fails while the node is enrolled; CacheAcquired fails after ownership changes. + { + const CacheGate::Lease lifecycle(gate, true); + gate.freeze(true); + } + const CacheGate::Lease reader(gate); + EXPECT_TRUE(gate.frozen()); + } +#else + GTEST_SKIP() << "requires native rendezvous hooks"; +#endif +} + +TEST(Concurrency, ImmutableGraphAnchorSurvivesMove) { + auto graph = one_link(); + std::weak_ptr weak = graph; + std::optional source; + source.emplace(graph); + const auto& anchor = source->graph(); + graph.reset(); + { + FlowLedger target(std::move(*source)); + EXPECT_EQ(anchor.get(), target.graph().get()); + EXPECT_THROW((void)source->graph(), std::logic_error); + } + ASSERT_FALSE(weak.expired()); + EXPECT_EQ(anchor->num_edges(), 1); + source.reset(); + EXPECT_TRUE(weak.expired()); + // A copied ledger owns its immutable anchor after every original owner dies. + // Check liveness before dereferencing so a borrowing-copy plant fails safely. + std::optional copy; + { + auto original_graph = one_link(); + weak = original_graph; + FlowLedger original(original_graph); + copy.emplace(original); + } + ASSERT_FALSE(weak.expired()); + EXPECT_EQ(copy->graph()->num_edges(), 1); + copy.reset(); + EXPECT_TRUE(weak.expired()); +} + +TEST(Concurrency, SameLedgerCallsHaveASerialHistory) { + FlowLedger ledger(one_link()); + FlowPolicy a(ledger, std::vector{0}, std::vector{1}, {}); + FlowPolicy b(ledger, std::vector{0}, std::vector{1}, {}); + std::vector> work; + for (int i = 0; i < 4; ++i) { + work.push_back(std::async(std::launch::async, [&, i] { + Amount delivered = 0; + for (int n = 0; n < 10; ++n) delivered += (i % 2 == 0 ? a : b).place(1).call_delivered; + return delivered; + })); + } + Amount delivered = 0; + for (auto& result : work) delivered += result.get(); + EXPECT_EQ(delivered, 10); + EXPECT_EQ(a.delivered() + b.delivered(), 10); + EXPECT_EQ(ledger.residual(), std::vector{0}); +} + +TEST(Concurrency, IndependentLedgersDoNotShareAGate) { + const auto graph = one_link(); + FlowLedger a(graph), b(graph); + FlowPolicy policy(b, std::vector{0}, std::vector{1}, {}); + const auto gate = LedgerAccess::lock(a); + auto result = std::async(std::launch::async, [&] { return policy.place(3).call_delivered; }); + EXPECT_EQ(result.wait_for(5s), std::future_status::ready); + EXPECT_EQ(result.get(), 3); +} + +TEST(Concurrency, ScalarAndListsDoNotLeaseTheConstructionCache) { + const auto graph = one_link(); + ShortestPathCache cache(*graph); + FlowLedger ledger(graph); + FlowPolicy a(ledger, std::vector{0}, std::vector{1}, {}, nullptr, &cache); + FlowPolicy b(ledger, std::vector{0}, std::vector{1}, {}, nullptr, &cache); + const auto before = cache.stats(); + const CacheGate::Lease lease(detail::DagCacheAccess::gate(cache), true); + auto result = std::async(std::launch::async, [&] { + const auto scalar = a.place(2); + const std::vector actions {Place{b, 3}}; + return scalar.call_delivered + apply_actions(ledger, actions)[0].call_delivered; + }); + EXPECT_EQ(result.wait_for(5s), std::future_status::ready); + EXPECT_EQ(result.get(), 5); + EXPECT_EQ(cache.stats().hits, before.hits); + EXPECT_EQ(cache.stats().misses, before.misses); +} + +TEST(Concurrency, ArgumentChecksPrecedeEveryStateCheck) { + FlowLedger ledger(one_link()); + FlowPolicy a(ledger, std::vector{0}, std::vector{1}, {}); + FlowPolicy b(ledger, std::vector{0}, std::vector{1}, {}); + auto text = [](auto&& body) { + try { body(); } catch (const std::invalid_argument& error) { return std::string(error.what()); } + return std::string("no exception"); + }; + EXPECT_EQ(text([&] { (void)a.forward(-1); }), "offer must be an integer in [0, 2^62) or permitted +inf"); + EXPECT_EQ(text([&] { (void)a.forward(1); }), "forward requires an installed program"); + const std::vector actions {Forward{a, 1}, Replace{b, -1}}; + EXPECT_EQ(text([&] { (void)apply_actions(ledger, actions); }), "offer must be an integer in [0, 2^62) or permitted +inf"); + EXPECT_TRUE(ledger.records().empty()); + EXPECT_FALSE(a.program()); + EXPECT_FALSE(b.program()); + FlowLedger source(one_link()); + FlowLedger moved(std::move(source)); + EXPECT_EQ(text([&] { (void)apply_actions(source, {}, static_cast(-1)); }), + "mode: -1 is not a value of BatchMode"); +} + +TEST(Concurrency, GateCoversExchangeAndEveryEpoch) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + FlowLedger ledger(one_link()); + FlowPolicy a(ledger, std::vector{0}, std::vector{1}, {}); + FlowPolicy b(ledger, std::vector{0}, std::vector{1}, {}); + Rendezvous writer_stage, reader_stage; + writer_stage.pause = ConcurrentStage::AfterLedgerExchange; + auto writer = std::async(std::launch::async, [&] { + const ProbeScope probe(writer_stage); + const std::vector actions {Replace{a, 2}, Replace{b, 3}}; + return apply_actions(ledger, actions); + }); + EXPECT_TRUE(writer_stage.wait(ConcurrentStage::AfterLedgerExchange)); + auto reader = std::async(std::launch::async, [&] { + const ProbeScope probe(reader_stage); + const auto gate = LedgerAccess::lock(ledger); + const auto& ae = detail::PolicyAccess::engine(a); + const auto& be = detail::PolicyAccess::engine(b); + return ae.epoch.program != nullptr && be.epoch.program != nullptr && LedgerAccess::carried(ledger)[0] == 5; + }); + EXPECT_TRUE(reader_stage.wait(ConcurrentStage::LedgerWait)); + EXPECT_EQ(reader.wait_for(0s), std::future_status::timeout); + writer_stage.release(); + EXPECT_EQ(writer.get().size(), 2U); + EXPECT_TRUE(reader.get()); +#else + GTEST_SKIP() << "requires native rendezvous hooks"; +#endif +} + +TEST(Concurrency, FailureBeforePublicationReleasesTheGate) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + FlowLedger ledger(one_link()); + FlowPolicy policy(ledger, std::vector{0}, std::vector{1}, {}); + Rendezvous failure; + failure.fail = ConcurrentStage::BeforePublication; + { + const ProbeScope probe(failure); + EXPECT_THROW((void)policy.place(3), std::runtime_error); + } + EXPECT_TRUE(ledger.records().empty()); + EXPECT_FALSE(policy.program()); + EXPECT_EQ(policy.place(3).call_delivered, 3); +#else + GTEST_SKIP() << "requires native rendezvous hooks"; +#endif +} + +TEST(Concurrency, LowestWorkerFailureWins) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + struct Failures { + std::mutex mutex; + std::condition_variable changed; + bool later_failed {false}; + static void notify(void* context, ConcurrentStage stage, const void* object) { + if (stage != ConcurrentStage::WorkerBegin) return; + auto& self = *static_cast(context); + const auto index = *static_cast(object); + std::unique_lock lock(self.mutex); + if (index == 2) { + self.later_failed = true; + self.changed.notify_all(); + throw std::runtime_error("task two failed first"); + } + if (index == 0) { + if (!self.changed.wait_for(lock, 5s, [&] { return self.later_failed; })) throw std::runtime_error("worker rendezvous timed out"); + throw std::runtime_error("task zero failed last"); + } + } + } failures; + const auto graph = one_link(); + const detail::ConcurrentProbe probe {Failures::notify, &failures}; + const detail::ScopedConcurrentProbe installed(&probe); + const std::vector, std::vector>> pairs(3, {{0}, {1}}); + try { + (void)evaluate_pairs(*graph, pairs, {}, {}, 3); + FAIL() << "both failing workers were ignored"; + } catch (const std::runtime_error& error) { + EXPECT_STREQ(error.what(), "task zero failed last"); + } +#else + GTEST_SKIP() << "requires native rendezvous hooks"; +#endif +} + +TEST(Concurrency, PartialThreadLaunchJoinsAndReleasesLease) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + struct Failure { + std::size_t after; + static void notify(void* context, ConcurrentStage stage, const void* object) { + if (stage == ConcurrentStage::ThreadLaunch && *static_cast(object) == static_cast(context)->after) { + throw std::runtime_error("injected thread launch failure"); + } + } + } failure; + const auto graph = one_link(); + ShortestPathCache cache(*graph); + (void)cache.lookup(*graph, std::vector{1}, Direction::Reverse, nullptr); + cache.freeze(); + const std::vector, std::vector>> pairs(3, {{0}, {1}}); + EvaluationOptions options; + options.cache = &cache; + for (std::size_t after : {0U, 1U, 2U}) { + failure.after = after; + const auto before = cache.stats(); + const detail::ConcurrentProbe probe {Failure::notify, &failure}; + { + const detail::ScopedConcurrentProbe installed(&probe); + EXPECT_THROW((void)evaluate_pairs(*graph, pairs, options, {}, 3), std::runtime_error); + } + EXPECT_EQ(cache.stats().hits, before.hits); + cache.thaw(); + cache.freeze(); + EXPECT_EQ(evaluate_pairs(*graph, pairs, options, {}, 3).size(), 3U); + } +#else + GTEST_SKIP() << "requires native rendezvous hooks"; +#endif +} + +TEST(Concurrency, NativeArgumentsAreCopiedBeforeWaiting) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + // All scalar operations and both list modes have their own public copy point. + for (int entry = 0; entry < 6; ++entry) { + const auto graph = one_link(); + FlowLedger ledger(graph); + FlowPolicy policy(ledger, std::vector{0}, std::vector{1}, {.admission = Admission::Lossy}); + (void)policy.replace(2); + OutputOptions outputs; + outputs.residual = true; + auto gate = LedgerAccess::lock(ledger); + Rendezvous waiting; + auto result = std::async(std::launch::async, [&] { + const ProbeScope probe(waiting); + switch (entry) { + case 0: return policy.place(3, outputs); + case 1: return policy.evaluate(3, {}, outputs); + case 2: return policy.replace(3, {}, outputs); + case 3: return policy.forward(3, nullptr, outputs); + default: return apply_actions(ledger, std::vector{Replace{policy, 3}}, + entry == 4 ? BatchMode::Ordered : BatchMode::Simultaneous, outputs)[0]; + } + }); + EXPECT_TRUE(waiting.wait(ConcurrentStage::LedgerWait)); + outputs.residual = false; // after the call's copy, before it is admitted + gate.unlock(); + const auto value = result.get(); + EXPECT_TRUE(value.residual.has_value()) << entry; + if (value.residual) EXPECT_EQ(*value.residual, std::vector{entry == 0 ? 5 : 7}) << entry; + EXPECT_EQ(ledger.residual(), std::vector{entry == 1 ? 8 : (entry == 0 ? 5 : 7)}) << entry; + } +#else + GTEST_SKIP() << "requires native rendezvous hooks"; +#endif +} + +TEST(Concurrency, NativeEvaluatorInputsAreOwnedWhileQueued) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + for (int entry = 0; entry < 3; ++entry) { + const auto graph = one_link(); + ShortestPathCache cache(*graph); + (void)cache.lookup(*graph, std::vector{1}, Direction::Reverse, nullptr); + std::optional active; + active.emplace(detail::DagCacheAccess::gate(cache)); + EvaluationOptions options; + options.cache = &cache; + options.offer = std::optional{3}; + std::vector, std::vector>> pairs {{{0}, {1}}}; + std::vector sources {0}, destinations {1}; + std::vector masks {nullptr}; + const auto foreign = one_link(); + const Eligibility wrong_mask = foreign->eligibility({}, {}); + Rendezvous waiting; + auto result = std::async(std::launch::async, [&] { + const ProbeScope probe(waiting); + if (entry == 0) return evaluate_pairs(*graph, pairs, options, masks, 1)[0].delivered; + if (entry == 1) return evaluate_demand(*graph, sources, destinations, options).delivered; + return evaluate_edge_failures(*graph, sources, destinations, options, 1).baseline.delivered; + }); + EXPECT_TRUE(waiting.wait(ConcurrentStage::CacheQueued)); + pairs[0].second[0] = 99; + options.offer = std::optional{7}; + sources[0] = 99; + destinations[0] = 99; + masks[0] = &wrong_mask; + active.reset(); + EXPECT_EQ(result.get(), 3) << entry; + EXPECT_GE(cache.stats().hits, 1) << entry; + } +#else + GTEST_SKIP() << "requires native rendezvous hooks"; +#endif +} + +TEST(Concurrency, FrozenTallyPublishesInsideTheLease) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + const auto graph = one_link(); + ShortestPathCache cache(*graph); + (void)cache.lookup(*graph, std::vector{1}, Direction::Reverse, nullptr); + cache.freeze(); + const auto before = cache.stats().hits; + EvaluationOptions options; + options.cache = &cache; + options.offer = std::optional{3}; + const std::vector, std::vector>> pairs(3, {{0}, {1}}); + Rendezvous finishing, waiting; + finishing.pause = ConcurrentStage::CacheTallyComplete; + auto result = std::async(std::launch::async, [&] { + const ProbeScope probe(finishing); + return evaluate_pairs(*graph, pairs, options, {}, 3); + }); + EXPECT_TRUE(finishing.wait(ConcurrentStage::CacheTallyComplete)); + EXPECT_EQ(cache.stats().hits, before + 3); + auto lifecycle = std::async(std::launch::async, [&] { + const ProbeScope probe(waiting); + cache.thaw(); + }); + EXPECT_TRUE(waiting.wait(ConcurrentStage::CacheQueued)); + EXPECT_EQ(lifecycle.wait_for(0s), std::future_status::timeout); + finishing.release(); + EXPECT_EQ(result.get().size(), 3U); + lifecycle.get(); + EXPECT_EQ(cache.stats().hits, before + 3); +#else + GTEST_SKIP() << "requires native rendezvous hooks"; +#endif +} + +TEST(Concurrency, NativeCacheRootsAreOwnedWhileQueued) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + const auto graph = one_link(); + ShortestPathCache cache(*graph); + const auto retained = cache.lookup(*graph, std::vector{1}, Direction::Reverse, nullptr); + std::optional active; + active.emplace(detail::DagCacheAccess::gate(cache)); + std::vector roots {1}; + Rendezvous waiting; + auto result = std::async(std::launch::async, [&] { + const ProbeScope probe(waiting); + return cache.lookup(*graph, roots, Direction::Reverse, nullptr); + }); + EXPECT_TRUE(waiting.wait(ConcurrentStage::CacheQueued)); + roots[0] = 0; + active.reset(); + EXPECT_EQ(result.get(), retained); + EXPECT_EQ(cache.stats().entries, 1); + EXPECT_EQ(cache.stats().hits, 1); +#else + GTEST_SKIP() << "requires native rendezvous hooks"; +#endif +} + +static_assert(std::is_same_v().graph()), + const std::shared_ptr&>); +static_assert(noexcept(std::declval().stats())); +static_assert(!noexcept(std::declval().freeze())); +static_assert(!noexcept(std::declval().thaw())); + +TEST(Concurrency, TunnelRosterChecksRunInParallelBeforeAdmission) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + struct Overlap { + std::mutex mutex; + std::condition_variable changed; + std::size_t searches {0}; + bool admitted {false}; + static void notify(void* context, ConcurrentStage stage, const void*) { + auto& self = *static_cast(context); + std::unique_lock lock(self.mutex); + if (stage == ConcurrentStage::LedgerWait || stage == ConcurrentStage::CacheQueued) self.admitted = true; + if (stage != ConcurrentStage::TunnelRosterSearch) return; + EXPECT_FALSE(self.admitted); + ++self.searches; + self.changed.notify_all(); + if (self.searches == 1 && !self.changed.wait_for(lock, 2s, [&] { return self.searches >= 2; })) { + throw std::runtime_error("roster checks did not overlap"); + } + } + }; + const auto graph = one_link(); + const std::vector, std::vector>> pairs(8, {{0}, {1}}); + CentralizedTE central(SourceAllocation::Equal); + central.tunnel_count = TunnelCount{1}; + for (const Routing& routing : {Routing{DistributedTE{TunnelCount{1}}}, Routing{central}}) { + Overlap overlap; + EvaluationOptions options; + options.config.routing = routing; + options.offer = Amount{1}; + options.design_demand = Amount{1}; + const detail::ConcurrentProbe probe {Overlap::notify, &overlap}; + const detail::ScopedConcurrentProbe installed(&probe); + const auto result = evaluate_pairs(*graph, pairs, options, {}, 2); + ASSERT_EQ(result.size(), 8U); + for (const auto& r : result) EXPECT_EQ(r.delivered, 1); + EXPECT_EQ(overlap.searches, pairs.size()); + EXPECT_TRUE(overlap.admitted); + } +#else + GTEST_SKIP() << "requires native rendezvous hooks"; +#endif +} + +TEST(Concurrency, TunnelPreflightReportsTheLowestErrorBeforeLaterChecks) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + struct Failures { + std::mutex mutex; + std::condition_variable changed; + bool later {false}; + static void notify(void* context, ConcurrentStage stage, const void* object) { + if (stage != ConcurrentStage::WorkerBegin) return; + auto& self = *static_cast(context); + const auto index = *static_cast(object); + std::unique_lock lock(self.mutex); + if (index == 0) { + if (!self.changed.wait_for(lock, 2s, [&] { return self.later; })) throw std::runtime_error("no later worker"); + throw std::runtime_error("first pair failed last"); + } + self.later = true; + self.changed.notify_all(); + throw std::runtime_error("second pair failed first"); + } + } failures; + const auto graph = one_link(); + EvaluationOptions options; + options.config.routing = DistributedTE{TunnelCount{1}}; + options.offer = Amount{1}; + options.design_demand = Amount{1}; + const std::vector, std::vector>> pairs {{{0}, {1}}, {{0}, {1}}, {{}, {1}}}; + const detail::ConcurrentProbe probe {Failures::notify, &failures}; + const detail::ScopedConcurrentProbe installed(&probe); + try { + (void)evaluate_pairs(*graph, pairs, options, {}, 2); + FAIL() << "the first-pass errors were ignored"; + } catch (const std::runtime_error& error) { + EXPECT_STREQ(error.what(), "first pair failed last"); + } +#else + GTEST_SKIP() << "requires native rendezvous hooks"; +#endif +} + +TEST(Concurrency, TunnelPreflightJoinsAfterPartialLaunchFailure) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + struct Failure { + std::size_t after {0}; + static void notify(void* context, ConcurrentStage stage, const void* object) { + if (stage == ConcurrentStage::ThreadLaunch && + *static_cast(object) == static_cast(context)->after) { + throw std::runtime_error("injected preflight launch failure"); + } + } + } failure; + const auto graph = one_link(); + const std::vector, std::vector>> pairs(8, {{0}, {1}}); + EvaluationOptions options; + options.config.routing = DistributedTE{TunnelCount{1}}; + options.offer = Amount{1}; + options.design_demand = Amount{1}; + for (std::size_t after : {0U, 1U, 2U}) { + failure.after = after; + const detail::ConcurrentProbe probe {Failure::notify, &failure}; + { + const detail::ScopedConcurrentProbe installed(&probe); + EXPECT_THROW((void)evaluate_pairs(*graph, pairs, options, {}, 3), std::runtime_error); + } + const auto retry = evaluate_pairs(*graph, pairs, options, {}, 3); + ASSERT_EQ(retry.size(), pairs.size()); + for (const auto& result : retry) EXPECT_EQ(result.delivered, 1); + } +#else + GTEST_SKIP() << "requires native rendezvous hooks"; +#endif +} + +static_assert(std::is_nothrow_destructible_v); +static_assert(!noexcept(std::declval().program())); +static_assert(std::is_nothrow_move_assignable_v); +static_assert(std::is_nothrow_move_assignable_v); + +} // namespace +} // namespace netgraph::core::test diff --git a/tests/cpp/contract_examples_tests.cpp b/tests/cpp/contract_examples_tests.cpp index 7b57c31..69e7641 100644 --- a/tests/cpp/contract_examples_tests.cpp +++ b/tests/cpp/contract_examples_tests.cpp @@ -22,6 +22,8 @@ #include #include "netgraph/core/detail/forwarding.hpp" +#include "netgraph/core/detail/concurrency_models.hpp" +#include "netgraph/core/detail/ledger_access.hpp" #include "netgraph/core/detail/policy_engine.hpp" #include "netgraph/core/detail/route_kernels.hpp" #include "netgraph/core/evaluators.hpp" @@ -3296,7 +3298,7 @@ TEST(ContractExamples, LIST_first_error) { "SIMULTANEOUS does not accept Place", "SIMULTANEOUS Replace requires ShortestPaths EQUAL or WEIGHTED, or Pinned", "SIMULTANEOUS requires admission=LOSSY", "offer must be an integer in [0, 2^62) or permitted +inf", kPeriodTwo, "DistributedTE does not support incremental placement", "Pinned forwards with replace", - "finite placement after infinite placement requires a new epoch", "ShortestPaths does not accept design_demand", + "list policy belongs to another ledger", "ShortestPaths does not accept design_demand", "black_holes belongs to another graph", "valid"})); } // The forwarding sizes' counting step on the example's sizes (per participant, groups of tunnels @@ -3346,3 +3348,128 @@ TEST(ContractExamples, ERR_class_list) { EXPECT_EQ(run(5), "valid"); EXPECT_EQ(run(std::nullopt), "valid"); } + +TEST(ContractExamples, FPublicationLocked) { + const auto out = detail::publication_model(true); + EXPECT_EQ(out.mixed, 0U); + EXPECT_EQ(out.states, 15U); +} +TEST(ContractExamples, FPublicationUnlocked) { + const auto out = detail::publication_model(false); + EXPECT_EQ(out.mixed, 2U); + EXPECT_EQ(out.states, 23U); +} +namespace { +void expect_phases(std::string_view name, std::size_t states, std::size_t partial, + std::size_t python_under_lock, std::size_t late_hits) { + const auto out = detail::phase_model(name); + EXPECT_EQ(out.states, states); + EXPECT_EQ(out.partial, partial); + EXPECT_EQ(out.python_under_lock, python_under_lock); + EXPECT_EQ(out.late_hits, late_hits); +} +} // namespace +TEST(ContractExamples, FPublishResultFirst) { expect_phases("publish-result-first", 22, 0, 0, 0); } +TEST(ContractExamples, FPublishResultAfter) { expect_phases("publish-result-after", 22, 1, 0, 0); } +TEST(ContractExamples, FReadResultFailure) { expect_phases("read-result-failure", 20, 0, 0, 0); } +TEST(ContractExamples, FReadResultUnderGate) { expect_phases("read-result-under-gate", 18, 0, 2, 0); } +TEST(ContractExamples, FFrozenHits) { expect_phases("frozen-hits", 25, 0, 0, 0); } +TEST(ContractExamples, FFrozenHitsAfterLease) { expect_phases("frozen-hits-after-lease", 28, 0, 0, 2); } + +TEST(ContractExamples, LIST_state_second) { + const Texts expected { + "offer must be an integer in [0, 2^62) or permitted +inf", + "black_holes belongs to another graph", + "list policy belongs to another ledger", + "offer must be an integer in [0, 2^62) or permitted +inf", + "offer must be an integer in [0, 2^62) or permitted +inf", + "requested limit exceeded", + "forward requires an installed program", + "finite placement after infinite placement requires a new epoch", + "offer must be an integer in [0, 2^62) or permitted +inf"}; + Texts observed; + for (std::size_t which = 0; which < expected.size(); ++which) { + const Net net({{0, 1, 10, 1}}), foreign({{0, 1, 10, 1}}); + FlowLedger ledger(net.g), other(net.g); + FlowPolicy a(ledger, v({0}), v({1}), {.routing = ShortestPaths{}, .admission = LY}); + FlowPolicy b(ledger, v({0}), v({1}), {.routing = ShortestPaths{}, .admission = LY}); + FlowPolicy x(other, v({0}), v({1}), {.routing = ShortestPaths{}, .admission = LY}); + const auto program = ForwardingProgram::from_routes(*net.g, v({0}), v({1}), + std::vector{{0, net.path({0}), 1}}); + FlowPolicy pin(ledger, v({0}), v({1}), {.routing = Pinned{program}, .admission = LY}); + const auto holes = foreign.mask({}, {0}); + if (which == 3 || which == 7) (void)a.place(std::nullopt); + if (which == 6) (void)b.place(std::nullopt); + if (which == 4 || which == 5) { + const auto gate = detail::LedgerAccess::lock(ledger); + detail::PolicyAccess::engine(a).epoch.requested = Counter128{(std::uint64_t{1} << 63) - 1, ~std::uint64_t{0}}; + } + std::vector actions; + switch (which) { + case 0: actions = {Forward{a, -1}}; break; + case 1: actions = {Forward{a, 1, holes.get()}}; break; + case 2: actions = {Forward{a, 1}, Replace{x, 1}}; break; + case 3: actions = {Place{a, 5}, Replace{b, -1}}; break; + case 4: actions = {Place{a, 1}, Replace{b, -1}}; break; + case 5: actions = {Place{a, 1}}; break; + case 6: actions = {Forward{a, 1}, Place{b, 5}}; break; + case 7: actions = {Place{a, 5}, Forward{b, 1}}; break; + case 8: actions = {Forward{a, 1}, Replace{pin, kDomainLimit}}; break; + } + const auto carried = ledger.carried(); + const auto holds = ledger.reserved(); + const auto a_program = a.program(), b_program = b.program(), pin_program = pin.program(); + const auto record_id = detail::LedgerAccess::next_record_counter(ledger); + observed.push_back(error_of([&] { (void)apply_actions(ledger, actions, + which == 8 ? BatchMode::Simultaneous : BatchMode::Ordered); })); + EXPECT_EQ(ledger.carried(), carried); + EXPECT_EQ(ledger.reserved(), holds); + EXPECT_EQ(a.program(), a_program); + EXPECT_EQ(b.program(), b_program); + EXPECT_EQ(pin.program(), pin_program); + EXPECT_EQ(detail::LedgerAccess::next_record_counter(ledger), record_id); + } + EXPECT_EQ(observed, expected); +} + +// The numeric/ownership forms of CALL-state-second. Wrong Python types and +// malformed pair shapes have no C++ value and are checked by its Python port. +TEST(ContractExamples, CALL_state_second) { + const Net net({{0, 1, 10, 1}}), foreign({{0, 1, 10, 1}}); + FlowLedger ledger(net.g); + FlowPolicy p(ledger, v({0}), v({1}), {.routing = ShortestPaths{}, .admission = LY}); + const auto holes = foreign.mask({}, {0}); + const auto program = ForwardingProgram::from_routes(*net.g, v({0}), v({1}), + std::vector{{0, net.path({0}), 1}}); + FlowPolicy pin(ledger, v({0}), v({1}), {.routing = Pinned{program}, .admission = LY}); + ShortestPathCache cache(*net.g), wrong(*foreign.g); + const std::vector, std::vector>> pairs {{{0}, {1}}}; + EvaluationOptions options; + options.cache = &cache; + const std::string mode = "a supplied building ShortestPathCache has one writer: it is rejected unless workers == 1 (got workers = 2; a frozen cache may be shared by every worker)"; + Texts observed; + observed.push_back(error_of([&] { (void)p.forward(-1); })); + observed.push_back(error_of([&] { (void)p.forward(std::nullopt); })); + observed.push_back(error_of([&] { (void)p.forward(1, holes.get()); })); + observed.push_back(error_of([&] { (void)pin.forward(-1); })); + observed.push_back(error_of([&] { (void)p.forward(1); })); + options.config.routing = Pinned{program}; + observed.push_back(error_of([&] { (void)evaluate_pairs(*net.g, pairs, options, {}, 2); })); + options.config.routing = ShortestPaths{}; + options.offer = kUnlimited; + observed.push_back(error_of([&] { (void)evaluate_pairs(*net.g, pairs, options, {}, 2); })); + options.offer.reset(); + options.cache = &wrong; + observed.push_back(error_of([&] { (void)evaluate_pairs(*net.g, pairs, options, {}, 2); })); + options.cache = &cache; + observed.push_back(error_of([&] { (void)evaluate_pairs(*net.g, pairs, options, {}, 2); })); + options.offer = kUnlimited; + observed.push_back(error_of([&] { (void)evaluate_edge_failures(*net.g, v({0}), v({1}), options, 2); })); + options.offer.reset(); + observed.push_back(error_of([&] { (void)evaluate_edge_failures(*net.g, v({0}), v({1}), options, 2); })); + EXPECT_EQ(observed, (Texts{ + "offer must be an integer in [0, 2^62) or permitted +inf", "LOSSY forwarding requires a finite offer", + "black_holes belongs to another graph", "Pinned forwards with replace", "forward requires an installed program", + "evaluate_pairs does not accept Pinned", "offer must be an integer in [0, 2^62)", + "foreign ShortestPathCache: bound to another graph", mode, "offer must be an integer in [0, 2^62)", mode})); +} diff --git a/tests/cpp/flow_ledger_tests.cpp b/tests/cpp/flow_ledger_tests.cpp index 267d9b5..8bd69e4 100644 --- a/tests/cpp/flow_ledger_tests.cpp +++ b/tests/cpp/flow_ledger_tests.cpp @@ -92,7 +92,7 @@ TEST(FlowLedger, BaselineValidationAndSnapshots) { // A baseline with one or several defects (one error, from the shared edge-amount check): its length // before any entry, then its first entry outside [0, capacity] in EdgeId order, at construction -// and at reset; a bound policy is reported before the baseline, and a rejected reset changes +// and at reset; amendment 9 checks the immutable baseline before bound state. A rejected reset changes // nothing (records, allocation, baseline, the next FlowId). TEST(FlowLedger, BaselineDefectsReportTheFirstInOrder) { const auto g = shared(edge_amount_graph()); @@ -104,7 +104,7 @@ TEST(FlowLedger, BaselineDefectsReportTheFirstInOrder) { RoutePolicy q(fg, 0, 3, split_route(fg, 0, 3, all_edges(*g), RouteAllocation::Equal, Admission::Lossless)); ASSERT_EQ(q.place(1).call_delivered, 1); for (const auto& c : edge_amount_defects()) { - EXPECT_EQ(error_of([&] { fg.reset(c.amounts); }), "FlowLedger.reset is rejected while a policy is bound (1 bound)"); + EXPECT_EQ(error_of([&] { fg.reset(c.amounts); }), "service_baseline" + c.error); } } // destroyed without remove(): the record stays as an orphan const auto records = fg.records(); diff --git a/tests/cpp/flow_policy_fault_tests.cpp b/tests/cpp/flow_policy_fault_tests.cpp index 615764b..b332cbd 100644 --- a/tests/cpp/flow_policy_fault_tests.cpp +++ b/tests/cpp/flow_policy_fault_tests.cpp @@ -42,6 +42,7 @@ #include "fault_injection.hpp" #include "netgraph/core/shortest_path_cache.hpp" #include "netgraph/core/detail/ledger_access.hpp" +#include "netgraph/core/detail/evaluator_checks.hpp" #include "netgraph/core/detail/policy_engine.hpp" #include "netgraph/core/detail/route_builders.hpp" #include "netgraph/core/detail/search_detail.hpp" @@ -406,6 +407,54 @@ TEST(PolicyFaults, FromDagConstructionFailsCleanly) { } } +// Each failed preparation/buffering/publication is discarded; a retry on that +// same thread yields the complete program, with cold and already-grown scratch. +TEST(PolicyFaults, FromRoutesPreparationFailsCleanly) { + const auto g = graph(); + std::vector every(static_cast(g->num_edges())); + std::iota(every.begin(), every.end(), EdgeId {0}); + const auto whole = dag_of(*g, every); + const auto inv = id_of_input(*g); + const auto path = std::make_shared(*g, std::vector> {{inv[0]}, {inv[4]}}); + const std::vector sources {0, 1}, destinations {5, 6}; + const std::vector routes {{0, whole, 2}, {0, path, 1}, {1, whole, 3}, {0, whole, 0}}; + RouteOptions capacity {.allocation = RouteAllocation::Weighted}; + RouteOptions explicit_weights {.allocation = RouteAllocation::Weighted, .weight_basis = WeightBasis::Explicit, + .edge_weights = std::vector(every.size(), 0)}; + (*explicit_weights.edge_weights)[static_cast(inv[0])] = 2; + (*explicit_weights.edge_weights)[static_cast(inv[4])] = 3; + RouteOptions snapshot {.allocation = RouteAllocation::Weighted, .weight_basis = WeightBasis::ResidualSnapshot, + .residual = std::vector(every.size(), 0)}; + for (const auto& options : {RouteOptions {}, capacity, explicit_weights, snapshot}) { + const auto reference = ForwardingProgram::from_routes(*g, sources, destinations, routes, options); + const auto want = program_snapshot(reference.get()); + for (const bool warm : {false, true}) { + long injected = 0; + for (long at = 0;; ++at) { + const long live = g_live.load(); + bool failed = false; + std::thread worker([&] { + if (warm) (void)ForwardingProgram::from_routes(*g, sources, destinations, routes, options); + std::shared_ptr made; + failed = fails_at(at, [&] { made = ForwardingProgram::from_routes(*g, sources, destinations, routes, options); }); + if (failed) { + EXPECT_FALSE(made); + made = ForwardingProgram::from_routes(*g, sources, destinations, routes, options); + } + ASSERT_TRUE(made); + EXPECT_EQ(program_snapshot(made.get()), want); + }); + worker.join(); + EXPECT_EQ(g_live.load(), live) << "allocation " << at << ", warm " << warm; + if (::testing::Test::HasFailure()) return; + if (!failed) break; + ++injected; + } + EXPECT_GT(injected, 3); + } + } +} + TEST(PolicyFaults, CyclicLossyForwardingFailsAtomically) { auto cyc = [](Amount x, Amount y) { return shared(make_graph(6, {{0, 1, x, 1}, {1, 2, 1000, 1}, {1, 5, 1000, 1}, {2, 3, y, 1}, {3, 0, 1000, 1}, @@ -1113,53 +1162,65 @@ TEST(PolicyFaults, ControllerScratchGrowthFailureLeavesNothingHalfGrown) { } TEST(PolicyFaults, FrozenLookupsFailWithoutCounting) { - // A frozen lookup allocates a key only for roots that are not already a sorted set (a sorted set - // is borrowed: nothing), and a frozen miss builds the ShortestPathCacheMiss message, all before counting: + // Small queries own a stack copy; larger queries own a vector before waiting + // for the lease. A miss also builds its message, all before counting: // a failure there counts nothing and changes no entry; a clean retry counts. - const auto g = graph(); - ShortestPathCache cache(*g); - const std::vector unsorted = {6, 5}; - const std::vector sorted = {5, 6}; - const std::vector absent = {5}; - const auto value = cache.lookup(*g, unsorted, Direction::Reverse, nullptr); - cache.freeze(); - for (const int kind : {0, 1, 2}) { // a hit on unsorted roots, a hit on a sorted set, a miss - const bool hit = kind != 2; - const auto& present = kind == 0 ? unsorted : sorted; - long failures = 0; - for (long at = 0;; ++at) { - const std::string w = std::string(hit ? "hit" : "miss") + " allocation " + std::to_string(at); - const long live = g_live.load(); - const auto before = cache.stats(); - bool missed = false; - const auto call = [&] { - try { - if (cache.lookup(*g, hit ? present : absent, Direction::Reverse, nullptr).get() != value.get()) ADD_FAILURE(); - } catch (const ShortestPathCacheMiss&) { - missed = true; + for (bool large : {false, true}) { + const auto g = large ? std::make_shared(12, std::vector{}, std::vector{}, + std::vector{}, std::vector{}, 1.0) : graph(); + ShortestPathCache cache(*g); + const std::vector unsorted = large ? std::vector{9,8,7,6,5,4,3,2,1,0} : std::vector{6,5}; + auto sorted = unsorted; + std::sort(sorted.begin(), sorted.end()); + const std::vector absent = large ? std::vector{11} : std::vector{5}; + const auto value = cache.lookup(*g, unsorted, Direction::Reverse, nullptr); + cache.freeze(); + for (const int kind : {0, 1, 2}) { // a hit on unsorted roots, a hit on a sorted set, a miss + const bool hit = kind != 2; + const auto& present = kind == 0 ? unsorted : sorted; + long failures = 0; + for (long at = 0;; ++at) { + const std::string w = std::string(hit ? "hit" : "miss") + " allocation " + std::to_string(at); + const long live = g_live.load(); + const auto before = cache.stats(); + bool missed = false; + const auto call = [&] { + try { + if (cache.lookup(*g, hit ? present : absent, Direction::Reverse, nullptr).get() != value.get()) ADD_FAILURE(); + } catch (const ShortestPathCacheMiss&) { + missed = true; + } + }; + const bool failed = fails_at(at, call); + EXPECT_EQ(g_live.load(), live) << w << ": a leak"; // the key and the miss's message are gone + const auto s = cache.stats(); + EXPECT_EQ(s.entries, 1) << w; + EXPECT_EQ(s.bytes, before.bytes) << w; + EXPECT_EQ(s.live_values, before.live_values) << w; + if (failed) { + ++failures; + EXPECT_EQ(s.hits, before.hits) << w; + EXPECT_EQ(s.misses, before.misses) << w; + // A clean retry on the same thread after every failed allocation. + bool retry_missed = false; + try { + EXPECT_EQ(cache.lookup(*g, hit ? present : absent, Direction::Reverse, nullptr).get(), value.get()); + } catch (const ShortestPathCacheMiss&) { retry_missed = true; } + EXPECT_EQ(retry_missed, !hit) << w; + EXPECT_EQ(cache.stats().hits - s.hits, hit ? 1 : 0) << w; + EXPECT_EQ(cache.stats().misses - s.misses, hit ? 0 : 1) << w; + continue; } - }; - const bool failed = fails_at(at, call); - EXPECT_EQ(g_live.load(), live) << w << ": a leak"; // the key and the miss's message are gone - const auto s = cache.stats(); - EXPECT_EQ(s.entries, 1) << w; - EXPECT_EQ(s.bytes, before.bytes) << w; - EXPECT_EQ(s.live_values, before.live_values) << w; - if (failed) { - ++failures; - EXPECT_EQ(s.hits, before.hits) << w; - EXPECT_EQ(s.misses, before.misses) << w; - continue; + EXPECT_EQ(missed, !hit) << w; + EXPECT_EQ(s.hits - before.hits, hit ? 1 : 0) << w; + EXPECT_EQ(s.misses - before.misses, hit ? 0 : 1) << w; + break; + } + if (hit && !large) { + EXPECT_EQ(failures, 0) << "small owned query"; + } else { + EXPECT_GE(failures, hit ? 1 : 2) << (hit ? "large query copy" : "miss message"); } - EXPECT_EQ(missed, !hit) << w; - EXPECT_EQ(s.hits - before.hits, hit ? 1 : 0) << w; - EXPECT_EQ(s.misses - before.misses, hit ? 0 : 1) << w; - break; - } - if (kind == 1) { - EXPECT_EQ(failures, 0) << "hit on a sorted set"; // borrowed: no allocation at all - } else { - EXPECT_GE(failures, hit ? 1 : 2) << (hit ? "hit" : "miss"); // the key; the message (sorted roots) } } } @@ -1572,7 +1633,7 @@ TEST(PolicyFaults, T1EvaluatorsLeaveNoPoisonedScratch) { } EXPECT_GT(injected, 0) << name; attempts += injected + sweep_batch(m, *g, one, 1, o) + sweep_edge_failures(m, *g, one, 1, o); - attempts += sweep_edge_failures(m, *g, several, 7, o); + attempts += sweep_batch(m, *g, several, 1, o) + sweep_edge_failures(m, *g, several, 7, o); if (::testing::Test::HasFailure()) return; } } @@ -1824,7 +1885,7 @@ void sweep_t2_evaluators(const Mode& m, int part) { if (!failed || ::testing::Test::HasFailure()) break; } EXPECT_GT(injected, 0) << name; - attempts += injected + sweep_batch(m, *g, one, 1, o); + attempts += injected + sweep_batch(m, *g, one, 1, o) + sweep_batch(m, *g, several, 1, o); if (::testing::Test::HasFailure()) return; } } @@ -1860,3 +1921,60 @@ TEST(PolicyFaults, T2RemovalAndReleaseNeverAllocate) { EXPECT_TRUE(orphaned.bound.empty()) << m.name; } } + +TEST(PolicyFaults, ParallelRosterPreparationFailsCleanly) { + const Graph g(4, std::vector{0,1,2}, std::vector{3,3,3}, + std::vector{10,10,10}, std::vector{1,3,2}, 1.0); + const auto common = g.eligibility({}, std::vector{2}); + const auto first = g.eligibility(std::vector{0}, {}); + const auto second = g.eligibility(std::vector{1}, {}); + const auto none = g.eligibility(std::vector{0,1,2}, {}); + const std::vector per {&first, &second, &none}; + const std::vector, std::vector>> pairs(3, {{0,1,2}, {3}}); + const auto support = dag_of(g, std::vector{0,1,2}); + for (int model = 0; model < 3; ++model) { + EvaluationOptions options; + if (model == 0) options.config.routing = DistributedTE{TunnelCount{1}}; + else { + CentralizedTE central(SourceAllocation::Equal); + central.tunnel_count = TunnelCount{1}; + central.support = model == 2 ? support : nullptr; + options.config.routing = std::move(central); + } + options.eligibility = &common; + const auto check = [&](const std::vector& roster) { + ASSERT_EQ(roster.size(), 3U); + EXPECT_EQ(roster[0].heads, (std::vector{1})); + EXPECT_EQ(roster[0].c0, 3); + EXPECT_EQ(roster[1].heads, (std::vector{0})); + EXPECT_EQ(roster[1].c0, 1); + EXPECT_TRUE(roster[2].heads.empty()); + EXPECT_EQ(roster[2].c0, kUnreachable); + }; + for (int workers : {1, 3}) { + for (bool warm : {false, true}) { + long failures = 0; + for (long at = 0;; ++at) { + const auto live = g_live.load(); + bool failed = false; + std::thread attempt([&] { + if (warm) check(detail::prepare_batch_rosters(g, pairs, options, per, workers)); + std::vector result; + failed = fails_at(at, [&] { result = detail::prepare_batch_rosters(g, pairs, options, per, workers); }); + if (failed) { + EXPECT_TRUE(result.empty()); + result = detail::prepare_batch_rosters(g, pairs, options, per, workers); + } + check(result); + }); + attempt.join(); + EXPECT_EQ(g_live.load(), live) << "model " << model << " workers " << workers << " warm " << warm << " allocation " << at; + if (!failed || ::testing::Test::HasFailure()) break; + ++failures; + } + EXPECT_GT(failures, 3); + if (::testing::Test::HasFailure()) return; + } + } + } +} diff --git a/tests/cpp/flow_policy_tests.cpp b/tests/cpp/flow_policy_tests.cpp index 1e036e3..e1ff66b 100644 --- a/tests/cpp/flow_policy_tests.cpp +++ b/tests/cpp/flow_policy_tests.cpp @@ -1304,8 +1304,7 @@ TEST(Evaluators, BatchOrderIntersectionsExceptionsAndWorkers) { "foreign Eligibility: built for another graph"); EXPECT_EQ(first_error(pinned_bad, nullptr, &foreign_cache, short_per, 2), "foreign ShortestPathCache: bound to another graph"); EXPECT_EQ(first_error(pinned_bad, nullptr, &building, short_per, 2), - "a supplied building ShortestPathCache has one writer: it is rejected unless workers == 1 (got workers = 2; a " - "frozen cache may be shared by every worker)"); + "evaluate_pairs does not accept Pinned"); // amendment 9: arguments before cache mode EXPECT_EQ(first_error(pinned_bad, nullptr, &building, short_per, 1), "evaluate_pairs does not accept Pinned"); EXPECT_EQ(first_error(config_bad, nullptr, &building, short_per, 1), "ShortestPaths OPTIMIZED requires admission=LOSSLESS"); EXPECT_EQ(first_error(global_config(), nullptr, &building, short_per, 1), "CentralizedTE does not use ShortestPathCache"); diff --git a/tests/cpp/program_tests.cpp b/tests/cpp/program_tests.cpp index c66a7fd..11d0eef 100644 --- a/tests/cpp/program_tests.cpp +++ b/tests/cpp/program_tests.cpp @@ -694,6 +694,57 @@ TEST(FromRoutes, Order) { "routes[0]: head 1 is not a source"); } +TEST(FromRoutes, CheckedPlansAreSharedAndOwned) { + const auto g = par2(4, 8); + const std::vector sources {0}, destinations {1}; + const std::vector routes { + tunnel_route(*g, 0, {0}, 0), dag_route(*g, 0, {0, 1}), dag_route(*g, 0, {0, 1}, 0)}; + const std::vector options { + {}, {.allocation = W}, + {.allocation = W, .weight_basis = WeightBasis::Explicit, .edge_weights = Amounts {1, 3}}, + {.allocation = W, .weight_basis = WeightBasis::ResidualSnapshot, .residual = Amounts {0, 8}}, + {.allocation = W, .weight_basis = WeightBasis::Explicit, .edge_weights = Amounts {0, 0}}}; + const std::vector expected_weights {{}, {4, 8}, {1, 3}, {8}, {}}; + const std::vector expected_carried {{2, 2}, {1, 3}, {1, 3}, {0, 4}, {0, 0}}; + for (std::size_t k = 0; k < options.size(); ++k) { + std::shared_ptr prog; + std::weak_ptr retained; + { + auto checked = detail::check_route_definitions(*g, sources, destinations, routes, options[k]); + ASSERT_EQ(checked.split_contexts.size(), 2U); + std::vector plans; + for (const auto& c : checked.split_contexts) plans.push_back(c.prepared_route.get()); + for (const auto& c : checked.split_contexts) { + ASSERT_TRUE(c.prepared_route); + EXPECT_EQ(c.prepared_route->support_edges, (std::vector {0, 1})); + EXPECT_EQ(c.prepared_route->weights, expected_weights[k]); + const std::vector members = k == 4 ? std::vector {} : k == 3 ? std::vector {1} : std::vector {0, 1}; + EXPECT_EQ(c.prepared_route->forwarding_edges, members); + } + retained = checked.split_contexts.front().prepared_route; + prog = detail::ProgramAccess::from_checked_routes(sources, destinations, routes, std::move(checked)); + const auto& data = detail::ProgramAccess::data(*prog); + ASSERT_EQ(data.split_contexts.size(), 2U); + EXPECT_EQ(data.entries.size(), 3U); + EXPECT_EQ(prog->tunnels().size(), 1U); + for (std::size_t i = 0; i < plans.size(); ++i) { + EXPECT_EQ(data.split_contexts[i].prepared_route.get(), plans[i]); + EXPECT_EQ(data.entries[i + 1].min_route_cost, 1); + } + } + ASSERT_FALSE(retained.expired()); // before any read through a borrowed plan + { + FlowLedger ledger(g); + FlowPolicy p(ledger, sources, destinations, {.routing = Pinned {prog, nullptr}}); + const auto result = p.place(4); + EXPECT_EQ(result.call_delivered, k == 4 ? 0 : 4); + EXPECT_EQ(ledger.carried(), expected_carried[k]); + } + prog.reset(); + EXPECT_TRUE(retained.expired()); + } +} + // A zero-weight route keeps its index and is validated in full. TEST(FromRoutes, ZeroWeightKept) { const auto g = par2(4, 8); @@ -1498,7 +1549,7 @@ TEST(Operations, ForwardOrder) { auto pin = pinned(g, tunnels(*g, {0}, {1}, {{0, {0}, 1}})); EXPECT_EQ(error_of([&] { (void)pin->forward(INF, &foreign); }), "Pinned forwards with replace"); auto p = make(g, {0}, {1}, cost_only(EB, LOSSY)); - EXPECT_EQ(error_of([&] { (void)p->forward(-1); }), kNoProgram); + EXPECT_EQ(error_of([&] { (void)p->forward(-1); }), "offer must be an integer in [0, 2^62) or permitted +inf"); (void)p->place(1); EXPECT_EQ(error_of([&] { (void)p->forward(-1, &foreign); }), "offer must be an integer in [0, 2^62) or permitted +inf"); EXPECT_EQ(error_of([&] { (void)p->forward(INF, &foreign); }), kFinite); diff --git a/tests/cpp/shortest_path_cache_tests.cpp b/tests/cpp/shortest_path_cache_tests.cpp index b7557b0..c64a64f 100644 --- a/tests/cpp/shortest_path_cache_tests.cpp +++ b/tests/cpp/shortest_path_cache_tests.cpp @@ -122,7 +122,7 @@ TEST(DagCacheModes, TransitionTableAndStatistics) { invalid_queries_count_nothing("frozen"); // clear() throws when frozen and keeps the entries. EXPECT_EQ(error_of([&] { cache.clear(); }), - "ShortestPathCache.clear is rejected while the cache is frozen (join every reader, then thaw() and clear())"); + "ShortestPathCache.clear is rejected while the cache is frozen (thaw() it, then clear())"); EXPECT_EQ(cache.stats().entries, 1); // thaw(): building again; a miss searches and inserts, clear() empties (counters persist). cache.thaw(); diff --git a/tests/py/concurrency_support.py b/tests/py/concurrency_support.py new file mode 100644 index 0000000..df635b7 --- /dev/null +++ b/tests/py/concurrency_support.py @@ -0,0 +1,113 @@ +"""Parent-enforced progress checks with an explicitly selected native extension.""" + +import os +import subprocess +import sys +import textwrap +from pathlib import Path + +import _netgraph_core + +ROOT = Path(__file__).resolve().parents[2] +PREAMBLE = r""" +import gc +import importlib.util +import os +import sys +import threading +from concurrent.futures import ThreadPoolExecutor +import numpy as np +import pytest +path = os.environ['CORE_CONCURRENCY_BINARY'] +spec = importlib.util.spec_from_file_location('_netgraph_core', path) +ext = importlib.util.module_from_spec(spec) +sys.modules['_netgraph_core'] = ext +spec.loader.exec_module(ext) +assert os.path.realpath(ext.__file__) == os.path.realpath(path) +import netgraph_core as ngc + +_probes, _threads = [], [] +if hasattr(ext, '_ConcurrencyProbe'): + _native_probe = ext._ConcurrencyProbe + def new_probe(*args, **kwargs): + probe = _native_probe(*args, **kwargs) + _probes.append(probe) + return probe + +def graph(capacity=10): + return ngc.Graph(2, [0], [1], [capacity], [3], 1.0) + +def policy(ledger, *, cache=None, lossy=False): + config = ngc.FlowPolicyConfig(routing=ngc.ShortestPaths(), admission=ngc.Admission.LOSSY if lossy else ngc.Admission.LOSSLESS) + return ngc.FlowPolicy(ledger, 0, 1, config, cache=cache) + +def start(function, probe=None): + values, errors = [], [] + def call(): + try: + values.append(probe.run(function) if probe else function()) + except BaseException as error: + print('CHILD: worker error', type(error).__name__, str(error), flush=True) + errors.append(error) + thread = threading.Thread(target=call, daemon=True) + _threads.append(thread) + thread.start() + return thread, values, errors + +def finish(task): + thread, values, errors = task + thread.join(5) + assert not thread.is_alive(), 'native thread did not finish' + if errors: + raise errors[0] + assert len(values) == 1 + return values[0] + +print('CHILD: selected extension', path, flush=True) +""" + + +def run_python(source, *, seconds=25, cleanup=True): + env = dict(os.environ) + env["CORE_CONCURRENCY_BINARY"] = str(Path(_netgraph_core.__file__).resolve()) + env["PYTHONPATH"] = os.pathsep.join([str(ROOT / "python"), str(ROOT / "tests/py")]) + # Assertion failures under a plant must also release native rendezvous and + # join workers. The parent deadline remains the backstop for a real deadlock. + if cleanup: + program = ( + PREAMBLE + "\ntry:\n" + textwrap.indent(textwrap.dedent(source), " ") + ) + program += "\nfinally:\n for probe in _probes:\n probe.release()\n for thread in _threads:\n thread.join(5)\n" + else: + # Interpreter-finalization tests deliberately leave the daemon active. + program = PREAMBLE + "\n" + textwrap.dedent(source) + program += "\nprint('CHILD: COMPLETE', flush=True)\n" + result = subprocess.run( + [sys.executable, "-B", "-u", "-c", program], + env=env, + cwd=ROOT, + text=True, + stdout=subprocess.PIPE, + stderr=subprocess.STDOUT, + timeout=seconds, + check=False, + ) + assert result.returncode == 0, f"child exit={result.returncode}\n{result.stdout}" + if cleanup: + assert result.stdout.rstrip().endswith("CHILD: COMPLETE"), result.stdout + else: + assert "CHILD: COMPLETE" in result.stdout.splitlines(), result.stdout + return result.stdout + + +def run_test_in_subprocess(path, function): + run_python( + f""" + spec = importlib.util.spec_from_file_location('bounded_test', {str(Path(path).resolve())!r}) + module = importlib.util.module_from_spec(spec) + spec.loader.exec_module(module) + print('CHILD: entering {function}', flush=True) + getattr(module, {function!r})() + print('CHILD: threads joined and outcomes checked', flush=True) + """ + ) diff --git a/tests/py/helpers.py b/tests/py/helpers.py index db02aa5..0584f5e 100644 --- a/tests/py/helpers.py +++ b/tests/py/helpers.py @@ -8,6 +8,7 @@ import math import re +import _netgraph_core import pytest import netgraph_core as ngc @@ -179,6 +180,8 @@ def plain(value): tunnels included) by every public field, a PredecessorDAG by its three arrays, a Path by its endpoints, hops and cost, an Eligibility by its two masks, containers element by element, arrays as lists.""" + if isinstance(value, getattr(_netgraph_core, "_PlacementTrace", ())): + return plain(value.as_dict()) if isinstance(value, _RESULTS): fields = [ f @@ -243,7 +246,7 @@ def full_ledger_state(ledger): return [ledger._state(), ledger_state(ledger)] -def sweep_python_allocation(make, limit=400, collect=True): +def sweep_python_allocation(make, limit=400, collect=True, allocation_call=None): """The all-or-nothing sweep of a call's Python object allocations (private hooks needed). make() gives fresh (fn, args, snapshot); attempt k = 0, 1, ... makes the k-th Python object allocation of fn(*args) fail, until a call completes. Every reached failure raises @@ -257,6 +260,10 @@ def sweep_python_allocation(make, limit=400, collect=True): import _netgraph_core as ext + # Install native probes outside the checked allocation window, when needed. + if allocation_call is None: + allocation_call = ext._fail_python_allocation + fn, args, _ = make() want = plain(fn(*args)) failures = 0 @@ -265,7 +272,7 @@ def sweep_python_allocation(make, limit=400, collect=True): before = snapshot() if collect: gc.collect() - hit, seen, value, error = ext._fail_python_allocation(fn, args, k) + hit, seen, value, error = allocation_call(fn, args, k) where = (getattr(fn, "__name__", fn), k) if not hit: assert error is None, (where, repr(error)) diff --git a/tests/py/removed_names_reviewed.txt b/tests/py/removed_names_reviewed.txt index e798b53..cce89b0 100644 --- a/tests/py/removed_names_reviewed.txt +++ b/tests/py/removed_names_reviewed.txt @@ -354,7 +354,6 @@ netgraph_core | Route | - Route structures: ``PredecessorDAG``, ``Path``. | a ro netgraph_core | placed | - The ledger of placed traffic: ``FlowLedger`` and its ``Flo | traffic placed (delivered) on a ledger src/centralized_te_tunnels.cpp | Route | Routes at u: count vectors x with x[e] <= b[e] = min(K, floo | a route or routes (a heading such as 'Route structures' or 'Routes') src/distributed_te.cpp | volume | The design volume D is split RR(D, H, i) over the heads and | the design volume D of the tunnel models -src/evaluators.cpp | allocated | Everything a worker needs (the result slots, the private cac | allocated memory, storage or amounts src/evaluators.cpp | placed | reaches an allowed destination (nothing is placed). | traffic placed (delivered) on a ledger src/evaluators.cpp | priority | reachable from it, then selected on the priority values of t | a score's priority order, or a priority queue src/evaluators.cpp | sensitivity | ShortestPaths sensitivity: the edges of the full static supp | sensitivity analysis, or the env var NGRAPH_CORE_SENSITIVITY_THREADS diff --git a/tests/py/test_concurrency.py b/tests/py/test_concurrency.py new file mode 100644 index 0000000..2ec31ca --- /dev/null +++ b/tests/py/test_concurrency.py @@ -0,0 +1,1044 @@ +"""Native progress, exclusion, publication and lease witnesses, with parent deadlines.""" + +import sysconfig + +import pytest +from concurrency_support import run_python +from private_hooks import needs_hooks + +pytestmark = needs_hooks +GIL_ONLY = pytest.mark.skipif( + bool(sysconfig.get_config_var("Py_GIL_DISABLED")), reason="GIL-proof-only" +) +SETUP = """ +network = graph() +ledger = ngc.FlowLedger(network) +p = policy(ledger) +Probe = new_probe +""" + + +def run(source): + run_python(SETUP + source) + + +def test_conversions_run_before_native_locks(): + run(""" +class Index: + def __index__(self): + assert ledger.residual().tolist() == [10] + assert p.program is None + return 3 +probe = Probe() +r = probe.run(p.place, Index()) +assert r.delivered == 3 +before = probe.counts() +with pytest.raises(ValueError, match='offer must be'): + probe.run(p.forward, -1) +assert probe.counts() == before +q = policy(ledger) +cache = ngc.ShortestPathCache(network) +options = ngc.EvaluationOptions(ngc.FlowPolicyConfig(routing=ngc.ShortestPaths()), cache=cache) +invalid = { + 'scalar': lambda: p.replace(-1), + 'list': lambda: ngc.apply_actions(ledger, [ngc.Forward(p, 1), ngc.Replace(q, -1)]), + 'reset': lambda: ledger.reset([-1]), + 'demand': lambda: ngc.evaluate_demand(network, [], 1, options), + 'pairs': lambda: ngc.evaluate_pairs(network, [([], 1)], options, workers=2), + 'edge_failures': lambda: ngc.evaluate_edge_failures(network, [], 1, options, workers=2), + 'graph': lambda: ngc.Graph(2, [0], [1], [1], [0], 1.0), + 'mask': lambda: network.eligibility(excluded_edges=[99]), + 'path': lambda: ngc.Path(network, []), + 'dag': lambda: ngc.PredecessorDAG.from_csr(network, [0,1,1], [1], [0]), + 'program': lambda: ngc.ForwardingProgram.from_routes(network, [], 1, []), + 'spf': lambda: ngc.spf(network, [], ngc.SpfOptions(ngc.Direction.FORWARD)), + 'to_units': lambda: ngc.to_units([float('nan')], 1.0), + 'as_float': lambda: ngc.as_float([0.5], 1.0), +} +for name, call in invalid.items(): + failure = Probe() + with pytest.raises((TypeError, ValueError)): + failure.run(call) + assert all(value == 0 for value in failure.counts().values()), (name, failure.counts()) +assert ledger.carried().tolist() == [3] and cache.stats().entries == 0 +# Every immutable entry check precedes native construction, for Path and DAG. +from helpers import dag_of +chain = ngc.Graph(4, [0,1,2], [1,2,3], [10]*3, [1]*3, 1.0) +foreign = ngc.Graph(4, [0,1,2], [1,2,3], [10]*3, [1]*3, 1.0) +whole = ngc.Path(chain, [[0],[1],[2]]) +split = ngc.Graph(3, [0,0], [1,1], [10,10], [1,1], 1.0) +cases = [ + (chain, 0, 3, ngc.RouteDefinition(0, ngc.Path(foreign, [[0]])), 'route belongs to another graph'), + (chain, 0, 3, ngc.RouteDefinition(1, whole), 'head 1 is not a source'), + (chain, 0, 3, ngc.RouteDefinition(0, ngc.Path(chain, [[1],[2]])), 'the path starts at 1, not at head 0'), + (chain, 0, 3, ngc.RouteDefinition(0, ngc.Path(chain, [[0]])), 'the path ends at 1, not at a destination'), + (chain, 0, [1,3], ngc.RouteDefinition(0, whole), 'the path meets destination 1 before its end'), + (split, 0, 1, ngc.RouteDefinition(0, ngc.Path(split, [[0,1]])), 'a tunnel has one edge per hop'), + (chain, 0, 3, ngc.RouteDefinition(0, whole, weight=-1), 'weight must be an integer in [0, 2^62)'), + (chain, 0, 3, ngc.RouteDefinition(0, dag_of(foreign, [0,1,2])), 'route belongs to another graph'), + (chain, 0, 3, ngc.RouteDefinition(1, dag_of(chain, [0,1,2])), 'head 1 is not a source'), + (chain, 0, 3, ngc.RouteDefinition(0, dag_of(chain, [1,2])), 'no walk from head 0 to a destination'), + (chain, 0, 3, ngc.RouteDefinition(0, dag_of(chain, [0,1,2]), weight=-1), 'weight must be an integer in [0, 2^62)'), +] +for route_graph, sources, destinations, route, error in cases: + probe = Probe() + with pytest.raises(ValueError) as caught: + probe.run(ngc.ForwardingProgram.from_routes, route_graph, sources, destinations, [route]) + assert str(caught.value) == 'routes[0]: ' + error + assert probe.counts()['native_begin'] == 0, (error, probe.counts()) +for route in (whole, dag_of(chain, [0,1,2])): + probe = Probe() + result = probe.run(ngc.ForwardingProgram.from_routes, chain, 0, 3, [ngc.RouteDefinition(0, route)]) + assert result.sources == (0,) and result.destinations == (3,) + assert probe.counts()['native_begin'] == probe.counts()['native_complete'] == 1 + assert probe.counts()['route_definition_check'] == 1, probe.counts() + assert probe.counts()['route_walk'] == (0 if isinstance(route, ngc.Path) else 1), probe.counts() +# The DAG's walk/refusal precedes its weight, and all of route 0 precedes route 1. +for routes, error in [ + ([ngc.RouteDefinition(0, dag_of(chain, [1,2]), weight=-1)], 'routes[0]: no walk from head 0 to a destination'), + ([ngc.RouteDefinition(0, dag_of(chain, [0,1,2]), weight=-1), ngc.RouteDefinition(1, whole)], 'routes[0]: weight must be an integer in [0, 2^62)'), +]: + probe = Probe() + with pytest.raises(ValueError) as caught: + probe.run(ngc.ForwardingProgram.from_routes, chain, 0, 3, routes) + assert str(caught.value) == error + assert probe.counts()['native_begin'] == 0 +""") + + +def test_initializing_policy_is_not_exposed(): + run(""" +candidate = ngc.FlowPolicy.__new__(ngc.FlowPolicy) +config = ngc.FlowPolicyConfig(routing=ngc.ShortestPaths()) +holder = Probe(pause='ledger_acquired') +task = start(lambda: candidate.__init__(ledger, 0, 1, config), holder) +assert holder.wait('ledger_acquired') +for read in (lambda: candidate.program, lambda: candidate.config, + candidate.delivered, candidate.records, lambda: candidate.place(1), + lambda: ngc.Place(candidate, 1)): + with pytest.raises(TypeError, match='FlowPolicy is not constructed'): + read() +holder.release() +finish(task) +assert candidate.place(3).delivered == 3 +""") + + +def test_inputs_are_copied_before_native_work(): + run( + """ +service = np.array([7], dtype=np.int64) +probe = Probe(pause='native_begin') +task = start(lambda: ledger.reset(service), probe) +assert probe.wait('native_begin') +service[0] = 1 +probe.release() +finish(task) +assert ledger.residual().tolist() == [7] +""".replace("task = start", "del p\ntask = start") + ) + + +def test_options_snapshot_at_entry(): + run(""" +options = ngc.OutputOptions(residual=True, edge_flows=True) +probe = Probe(pause='ledger_acquired') +task = start(lambda: p.place(3, options), probe) +assert probe.wait('ledger_acquired') +with pytest.raises(AttributeError): + options.residual = False +probe.release() +r = finish(task) +assert r.residual.tolist() == [7] and r.edge_flows.tolist() == [3] +""") + + +@GIL_ONLY +def test_native_phase_allows_heartbeat(): + run(""" +assert sys._is_gil_enabled() +sys.setswitchinterval(0.000001) +network = ngc.Graph(2, [0]*3000, [1]*3000, [1000]*3000, [1]*3000, 1.0) +ledger = ngc.FlowLedger(network) +p = policy(ledger) +p.replace(1) +probe = Probe() +operations = [lambda: p.place(1), lambda: p.evaluate(3), lambda: p.replace(3), + lambda: p.forward(3), lambda: ngc.apply_actions(ledger, [ngc.Replace(p, 3)])] +observations = {} +for name, operation in zip(('place', 'evaluate', 'replace', 'forward', 'ordered_list'), operations, strict=True): + task = start(lambda: [operation() for _ in range(60)], probe) + overlaps = 0 + while task[0].is_alive(): + counts = probe.counts() + overlaps += counts['native_begin'] > counts['native_complete'] + finish(task) + observations[name] = overlaps + +# Each lock-wait entry has a finite native pause, so a retained-GIL plant +# terminates with zero overlap rather than stranding the Python controller. +def active_pause(probe): + first = probe.counts() + if first['pause_begin'] <= first['pause_end']: + return None + # counts() snapshots while detached. Returning here proves Python ran; + # the fresh snapshot must still identify the same unfinished pause. + second = probe.counts() + if (first['pause_begin'], first['pause_end']) == (second['pause_begin'], second['pause_end']): + return second + return None +network = graph() +bare = ngc.FlowLedger(network) +active_ledger = ngc.FlowLedger(network) +owner = policy(active_ledger) +owner.replace(3) +record_id = owner.records()[0].flow_id +cache = ngc.ShortestPathCache(network) +options = ngc.EvaluationOptions(ngc.FlowPolicyConfig(routing=ngc.ShortestPaths()), cache=cache, offer=3) +held = [policy(ngc.FlowLedger(network))] +def destroy(): + held.clear() +cases = [ + ('uid', bare.uid, 'ledger_acquired'), + ('graph_read', bare.graph, 'ledger_acquired'), + ('capacities', bare.edge_capacity_units, 'ledger_acquired'), + ('residual', bare.residual, 'ledger_acquired'), + ('carried', bare.carried, 'ledger_acquired'), + ('reserved', bare.reserved, 'ledger_acquired'), + ('unreserved', bare.unreserved, 'ledger_acquired'), + ('ledger_records', bare.records, 'ledger_acquired'), + ('ledger_record', lambda: active_ledger.record(record_id), 'ledger_acquired'), + ('saturated_boundary', lambda: bare.saturated_boundary_edges(0), 'ledger_acquired'), + ('reset', bare.reset, 'ledger_acquired'), + ('copy', bare.copy, 'ledger_acquired'), + ('program_read', lambda: owner.program, 'ledger_acquired'), + ('delivered_read', owner.delivered, 'ledger_acquired'), + ('policy_records', owner.records, 'ledger_acquired'), + ('policy_record', lambda: owner.record(record_id), 'ledger_acquired'), + ('construction', lambda: policy(bare), 'ledger_acquired'), + ('remove', owner.remove, 'ledger_acquired'), + ('destruction', destroy, 'ledger_acquired'), + ('freeze', cache.freeze, 'cache_acquired'), + ('thaw', cache.thaw, 'cache_acquired'), + ('clear', cache.clear, 'cache_acquired'), + ('evaluate_demand', lambda: ngc.evaluate_demand(network, 0, 1, options), 'cache_acquired'), + ('evaluate_pairs', lambda: ngc.evaluate_pairs(network, [(0, 1)], options, workers=1), 'cache_acquired'), + ('evaluate_failures', lambda: ngc.evaluate_edge_failures(network, 0, 1, options, 1), 'cache_acquired'), +] +for name, operation, stage in cases: + probe = Probe(pause=stage, auto_release_ms=200) + task = start(operation, probe) + overlap = 0 + while task[0].is_alive(): + overlap += active_pause(probe) is not None + finish(task) + observations[name] = overlap +assert all(value > 0 for value in observations.values()), observations +# Tunnel-limit preflight grows with the grid and runs before any lease or gate. +# The bounded native pause makes a retained-GIL mistake fail by assertion. +side = 80 +us, vs = [], [] +for u in range(side*side): + if u % side + 1 < side: us.append(u); vs.append(u+1) + if u + side < side*side: us.append(u); vs.append(u+side) +grid = ngc.Graph(side*side, us, vs, [10]*len(us), [1]*len(us), 1.0) +pairs = [(i, side*side-1) for i in range(64)] +for routing in (ngc.DistributedTE(ngc.TunnelCount(1)), ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.EQUAL, tunnel_count=ngc.TunnelCount(1))): + options = ngc.EvaluationOptions(ngc.FlowPolicyConfig(routing=routing), design_demand=1, offer=1) + probe = Probe(pause='tunnel_roster_search', auto_release_ms=200) + task = start(lambda: ngc.evaluate_pairs(grid, pairs, options, workers=4), probe) + overlap = 0 + while task[0].is_alive(): + counts = active_pause(probe) + if counts is not None: + assert counts['native_begin'] == counts['ledger_wait'] == counts['cache_queued'] == 0 + overlap += 1 + results = finish(task) + assert overlap > 0, 'tunnel preflight held the GIL' + assert len(results) == len(pairs) and all(r.delivered == 1 for r in results) + assert probe.counts()['tunnel_roster_search'] == len(pairs), probe.counts() + # The constructor's first pass follows the same detached-search rule. + tunnel_ledger = ngc.FlowLedger(grid) + constructor = Probe(pause='tunnel_roster_search', auto_release_ms=200) + task = start(lambda: ngc.FlowPolicy(tunnel_ledger, 0, side*side-1, + ngc.FlowPolicyConfig(routing=routing)), constructor) + overlap = 0 + while task[0].is_alive(): + counts = active_pause(constructor) + if counts is not None: + assert counts['native_begin'] == counts['ledger_wait'] == counts['cache_queued'] == 0 + overlap += 1 + constructed = finish(task) + assert overlap > 0, 'constructor tunnel preflight held the GIL' + assert constructor.counts()['tunnel_roster_search'] == 1 + assert constructed.replace(1, design_demand=1).delivered == 1 + small = ngc.Graph(4, [0,1,2], [1,2,3], [10]*3, [1]*3, 1.0) + for name, call, searches in ( + ('demand', lambda: ngc.evaluate_demand(small, 0, 3, options), 1), + ('edge_failures', lambda: ngc.evaluate_edge_failures(small, 0, 3, options, 2), 4), + ): + preflight = Probe(pause='tunnel_roster_search', auto_release_ms=200) + task = start(call, preflight) + overlap = 0 + while task[0].is_alive(): + counts = active_pause(preflight) + if counts is not None: + assert counts['native_begin'] == counts['ledger_wait'] == counts['cache_queued'] == 0 + overlap += 1 + result = finish(task) + assert overlap > 0, (name, 'tunnel preflight held the GIL') + assert preflight.counts()['tunnel_roster_search'] == searches + if name == 'demand': + assert result.delivered == 1 + else: + assert result.baseline.delivered == 1 + assert [(e.edge, e.delivery_reduction) for e in result.entries] == [(0,1), (1,1), (2,1)] +# Supplied-DAG preparation is the first pass's graph walk, before construction. +from helpers import dag_of +supplied = dag_of(grid, range(grid.num_edges())) +probe = Probe(pause='route_walk', auto_release_ms=200) +task = start(lambda: ngc.ForwardingProgram.from_routes(grid, 0, side*side-1, + [ngc.RouteDefinition(0, supplied)]), probe) +overlap = 0 +while task[0].is_alive(): + counts = active_pause(probe) + if counts is not None: + assert counts['native_begin'] == counts['ledger_wait'] == counts['cache_queued'] == 0 + overlap += 1 +program = finish(task) +assert overlap > 0, 'supplied route first-pass walk held the GIL' +assert program.sources == (0,) and program.destinations == (side*side-1,) +assert probe.counts()['route_walk'] == probe.counts()['route_definition_check'] == 1 +""") + + +def test_cache_before_gate_order(): + run(""" +cache = ngc.ShortestPathCache(network) +holder = Probe(pause='ledger_acquired') +a = start(lambda: p.place(2), holder) +assert holder.wait('ledger_acquired') +constructor = Probe() +b = start(lambda: policy(ledger, cache=cache), constructor) +assert constructor.wait('cache_acquired') +assert constructor.wait('ledger_wait') +early = constructor.wait('ledger_acquired', seconds=0.1) +try: + if early: + q = finish(b) +finally: + holder.release() +assert finish(a).delivered == 2 +if not early: + q = finish(b) +assert not early, 'construction bypassed the ledger gate' +assert q.place(2).delivered == 2 +""") + + +def test_cached_policies_ignore_busy_original_cache(): + run(""" +cache = ngc.ShortestPathCache(network) +q = policy(ledger, cache=cache) +options = ngc.EvaluationOptions(ngc.FlowPolicyConfig(routing=ngc.ShortestPaths()), cache=cache, offer=2) +holder = Probe(pause='cache_acquired') +a = start(lambda: ngc.evaluate_demand(network, 0, 1, options), holder) +assert holder.wait('cache_acquired') +assert q.place(2).delivered == 2 +assert ngc.apply_actions(ledger, [ngc.Replace(q, 3)])[0].delivered == 3 +holder.release() +assert finish(a).delivered == 2 +""") + + +def test_record_and_workers_do_not_deadlock(): + run(""" +p.place(3) +record = p.records()[0] +assert p.record(record.flow_id).delivered == ledger.record(record.flow_id).delivered == 3 +options = ngc.EvaluationOptions(ngc.FlowPolicyConfig(routing=ngc.ShortestPaths()), offer=4) +assert [r.delivered for r in ngc.evaluate_pairs(network, [(0, 1)]*8, options, workers=4)] == [4]*8 +assert ngc.evaluate_edge_failures(network, 0, 1, options, 3).entries[0].delivery_reduction == 4 +""") + + +def test_same_ledger_calls_serialize(): + run(""" +holder, waiter = Probe(pause='ledger_acquired'), Probe() +a = start(lambda: p.place(2), holder) +assert holder.wait('ledger_acquired') +b = start(lambda: p.place(3), waiter) +assert waiter.wait('ledger_wait') +assert waiter.counts()['ledger_acquired'] == 0 +holder.release() +assert finish(a).delivered == 2 +assert finish(b).delivered == 5 +assert ledger.carried().tolist() == [5] +""") + + +def test_every_ledger_reader_waits_without_gil(): + run(""" +p.place(1) +flow_id = p.records()[0].flow_id +readers = [ledger.uid, ledger.graph, ledger.edge_capacity_units, ledger.residual, + ledger.carried, ledger.reserved, ledger.unreserved, ledger.records, + lambda: ledger.record(flow_id), lambda: ledger.saturated_boundary_edges([0]), + p.delivered, p.records, lambda: p.record(flow_id), lambda: p.program, + ledger.copy, lambda: ledger.reset(), p.remove] +early = [] +for index, read in enumerate(readers): + holder, waiter = Probe(pause='ledger_acquired'), Probe() + a = start(lambda: p.place(0), holder) + assert holder.wait('ledger_acquired') + b = start(read, waiter) + assert waiter.wait('ledger_wait') + if waiter.wait('ledger_acquired', seconds=0.1): + early.append(index) + print('CHILD: reader', index, 'did not wait', flush=True) + holder.release() + finish(a) + if index in (14, 15): + with pytest.raises(ValueError, match='bound'): + finish(b) + else: + finish(b) +assert early == [], early +assert ledger.carried().tolist() == [0] and p.program is None +""") + + +def test_immutable_readers_do_not_wait(): + run(""" +cache = ngc.ShortestPathCache(network) +q = policy(ledger, cache=cache) +result = q.place(2) +holder = Probe(pause='ledger_acquired') +a = start(lambda: q.place(0), holder) +assert holder.wait('ledger_acquired') +assert q.config.admission == ngc.Admission.LOSSLESS +assert cache.graph_uid() == network.uid() +assert cache.stats().entries == 1 +assert result.delivered == 2 +assert result.program.sources == (0,) +assert network.edge_capacity_units().tolist() == [10] +holder.release() +finish(a) +""") + + +def test_two_ledgers_enter_together(): + run(""" +other = policy(ngc.FlowLedger(network)) +left, right = Probe(pause='ledger_acquired'), Probe(pause='ledger_acquired') +a = start(lambda: p.place(2), left) +assert left.wait('ledger_acquired') +b = start(lambda: other.place(3), right) +assert right.wait('ledger_acquired') +left.release() +right.release() +assert finish(a).delivered == 2 +assert finish(b).delivered == 3 +""") + + +def test_full_calls_and_reads_serialize(): + run(""" +p.replace(2) +for operation, expected in zip((lambda: p.evaluate(4), lambda: p.replace(4), lambda: p.forward(4), p.remove), (2, 4, 4, 0)): + holder, waiter = Probe(pause='ledger_acquired'), Probe() + a = start(operation, holder) + assert holder.wait('ledger_acquired') + b = start(p.delivered, waiter) + assert waiter.wait('ledger_wait') + assert waiter.counts()['ledger_acquired'] == 0 + holder.release() + finish(a) + assert finish(b) == expected +""") + + +def test_list_publication_is_atomic(): + run(""" +for mode in (ngc.BatchMode.ORDERED, ngc.BatchMode.SIMULTANEOUS): + ledger = ngc.FlowLedger(network) + a, b = policy(ledger, lossy=True), policy(ledger, lossy=True) + holder, waiter = Probe(pause='after_exchange'), Probe() + writer = start(lambda: ngc.apply_actions(ledger, [ngc.Replace(a, 2), ngc.Replace(b, 3)], mode=mode), holder) + assert holder.wait('after_exchange') + reader = start(lambda: (a.program, b.program, ledger.records()), waiter) + assert waiter.wait('ledger_wait') + assert waiter.counts()['ledger_acquired'] == 0 + holder.release() + assert [r.delivered for r in finish(writer)] == [2, 3] + pa, pb, records = finish(reader) + assert pa is not None and pb is not None + assert [r.delivered for r in records] == [2, 3] +""") + + +def test_reservations_and_program_are_atomic(): + run(""" +q = ngc.FlowPolicy(ledger, 0, 1, ngc.FlowPolicyConfig(routing=ngc.DistributedTE(ngc.TunnelCount(1)))) +holder, waiter = Probe(pause='after_exchange'), Probe() +a = start(lambda: q.replace(4, design_demand=6), holder) +assert holder.wait('after_exchange') +b = start(lambda: (q.program, q.records(), ledger.reserved()), waiter) +assert waiter.wait('ledger_wait') +assert waiter.counts()['ledger_acquired'] == 0 +holder.release() +r = finish(a) +program, records, holds = finish(b) +assert program is not None and r.plan.total_reserved_bandwidth == 6 +assert holds.tolist() == [6] and records[0].edge_reservations == [(0, 6)] +""") + + +CACHE_SETUP = """ +cache = ngc.ShortestPathCache(network) +options = ngc.EvaluationOptions(ngc.FlowPolicyConfig(routing=ngc.ShortestPaths()), cache=cache, offer=2) +ngc.evaluate_demand(network, 0, 1, options) +""" + + +def test_building_cache_serializes_native_calls(): + run( + CACHE_SETUP + + """ +holder, waiter = Probe(pause='cache_acquired'), Probe() +a = start(lambda: ngc.evaluate_demand(network, 0, 1, options), holder) +assert holder.wait('cache_acquired') +b = start(lambda: ngc.evaluate_demand(network, 0, 1, options), waiter) +assert waiter.wait('cache_queued') +early = waiter.wait('cache_acquired', seconds=0.1) +try: + if early: + second = finish(b) +finally: + holder.release() +first = finish(a) +if not early: + second = finish(b) +assert first.delivered == second.delivered == 2 +assert not early, 'building calls shared a lease' +""" + ) + + +def test_frozen_cache_allows_overlapping_calls(): + run( + CACHE_SETUP + + """ +cache.freeze() +left, right = Probe(pause='cache_acquired'), Probe(pause='cache_acquired') +a = start(lambda: ngc.evaluate_demand(network, 0, 1, options), left) +assert left.wait('cache_acquired') +b = start(lambda: ngc.evaluate_demand(network, 0, 1, options), right) +assert right.wait('cache_acquired') +left.release() +right.release() +assert finish(a).delivered == finish(b).delivered == 2 +""" + ) + + +def test_cache_fifo_admission(): + run( + CACHE_SETUP + + """ +for frozen in (False, True): + if frozen: + cache.freeze() + holder, writer, later = Probe(pause='cache_acquired'), Probe(pause='cache_acquired'), Probe() + a = start(lambda: ngc.evaluate_demand(network, 0, 1, options), holder) + assert holder.wait('cache_acquired') + b = start(cache.thaw, writer) + assert writer.wait('cache_queued') + c = start(lambda: ngc.evaluate_demand(network, 0, 1, options), later) + assert later.wait('cache_queued') + holder.release() + assert writer.wait('cache_acquired') + assert later.counts()['cache_acquired'] == 0 + writer.release() + finish(a) + finish(b) + assert finish(c).delivered == 2 +""" + ) + + +def test_workers_borrow_outer_lease(): + run( + CACHE_SETUP + + """ +cache.freeze() +holder, lifecycle = Probe(pause='worker_begin'), Probe() +a = start(lambda: ngc.evaluate_pairs(network, [(0, 1)]*6, options, workers=3), holder) +assert holder.wait('worker_begin', count=3) +b = start(cache.thaw, lifecycle) +assert lifecycle.wait('cache_queued') +holder.release() +assert [r.delivered for r in finish(a)] == [2]*6 +finish(b) +assert holder.counts()['cache_acquired'] == 1 +# With no supplied cache, each worker owns a building cache. Clearing it for +# the next failure state must not enroll a public lifecycle lease either. +network = ngc.Graph(3, [0,0,1,1], [1,1,2,2], [3]*4, [1]*4, 1.0) +options = ngc.EvaluationOptions(ngc.FlowPolicyConfig(routing=ngc.ShortestPaths()), offer=4) +probe = Probe() +result = probe.run(lambda: ngc.evaluate_edge_failures(network, 0, 2, options, workers=2)) +assert result.baseline.call_delivered == 4 +assert [entry.delivery_reduction for entry in result.entries] == [1]*4 +assert probe.counts()['cache_queued'] == 0 and probe.counts()['cache_acquired'] == 0 +""" + ) + + +def test_failed_waiter_unblocks_lifecycle(): + run( + CACHE_SETUP + + """ +for point in ('cache_queued', 'cache_acquired', 'ledger_wait', 'ledger_acquired'): + failure = Probe(fail=point) + before = cache.stats().hits + with pytest.raises(RuntimeError, match='injected native failure'): + failure.run(lambda: policy(ledger, cache=cache)) + cache.freeze() + cache.thaw() + assert ngc.evaluate_demand(network, 0, 1, options).delivered == 2 +""" + ) + + +def test_worker_validation_uses_leased_mode(): + run( + CACHE_SETUP + + """ +holder, waiter = Probe(pause='cache_acquired'), Probe() +a = start(cache.freeze, holder) +assert holder.wait('cache_acquired') +b = start(lambda: ngc.evaluate_pairs(network, [(0, 1)]*4, options, workers=2), waiter) +assert waiter.wait('cache_queued') +holder.release() +finish(a) +assert [r.delivered for r in finish(b)] == [2]*4 +cache.thaw() +with pytest.raises(ValueError, match='supplied building'): + ngc.evaluate_pairs(network, [(0, 1)], options, workers=2) +with pytest.raises(ValueError, match='sources'): + ngc.evaluate_pairs(network, [([], 1)], options, workers=2) +""" + ) + + +def test_frozen_tally_finishes_before_lifecycle(): + run( + CACHE_SETUP + + """ +cache.freeze() +before = cache.stats().hits +holder, lifecycle = Probe(pause='cache_tally_complete'), Probe() +a = start(lambda: ngc.evaluate_pairs(network, [(0, 1)]*3, options, workers=3), holder) +assert holder.wait('cache_tally_complete') +assert cache.stats().hits == before + 3 +b = start(cache.thaw, lifecycle) +assert lifecycle.wait('cache_queued') +assert lifecycle.counts()['cache_acquired'] == 0 +holder.release() +assert len(finish(a)) == 3 +finish(b) +assert cache.stats().hits == before + 3 +""" + ) + + +def test_cache_lifetime_is_pinned_during_wait(): + run( + CACHE_SETUP + + """ +holder, waiter = Probe(pause='cache_acquired'), Probe() +a = start(lambda: ngc.evaluate_demand(network, 0, 1, options), holder) +assert holder.wait('cache_acquired') +keep = [cache] +b = start(lambda: keep[0].freeze(), waiter) +assert waiter.wait('cache_queued') +del cache +gc.collect() +holder.release() +assert finish(a).delivered == 2 +finish(b) +assert keep[0].stats().entries == 1 +""" + ) + + +def test_policy_destructor_cannot_deadlock(): + run(""" +holder, destructor = Probe(pause='ledger_acquired'), Probe() +ready, drop = threading.Event(), threading.Event() +def lifetime(): + # Create and delete on the same OS thread. Free-threaded CPython may defer + # cross-thread final decrefs, which would not witness the native destructor. + owned = policy(ledger) + owned.place(2) + ready.set() + assert drop.wait(5) + del owned +b = start(lifetime, destructor) +assert ready.wait(5) +before = destructor.counts() +a = start(lambda: p.place(3), holder) +assert holder.wait('ledger_acquired') +drop.set() +assert destructor.wait('ledger_wait', count=before['ledger_wait'] + 1) +early = destructor.wait('ledger_acquired', count=before['ledger_acquired'] + 1, seconds=0.1) +try: + if early: + finish(b) +finally: + holder.release() +assert finish(a).delivered == 3 +if not early: + finish(b) +assert not early, 'destruction bypassed the ledger gate' +assert ledger._state()['orphans'] +""") + + +def test_waiters_pin_every_dependency(): + run(""" +holder, waiter = Probe(pause='ledger_acquired'), Probe() +other = [policy(ledger)] +a = start(lambda: p.place(2), holder) +assert holder.wait('ledger_acquired') +method = other[0].place +b = start(lambda: method(3), waiter) +assert waiter.wait('ledger_wait') +other.clear() +gc.collect() +holder.release() +finish(a) +assert finish(b).delivered == 3 +assert ledger.carried().tolist() == [5] +""") + + +def test_identity_order_is_a_serial_order(): + run(""" +policies = [] +with ThreadPoolExecutor(4) as pool: + policies = list(pool.map(lambda _: policy(ledger), range(16))) +assert sorted(q._owner() for q in policies) == list(range(1, 17)) +with ThreadPoolExecutor(4) as pool: + results = list(pool.map(lambda q: q.place(0), policies)) +assert all(r.delivered == 0 for r in results) +assert ledger._state()['next_flow_id'] == 0 +""") + + +def test_bind_copy_reset_races(): + run(""" +del p +holder, waiter = Probe(pause='ledger_acquired'), Probe() +a = start(lambda: policy(ledger), holder) +assert holder.wait('ledger_acquired') +b = start(ledger.copy, waiter) +assert waiter.wait('ledger_wait') +holder.release() +q = finish(a) +with pytest.raises(ValueError, match='bound'): + finish(b) +with pytest.raises(ValueError, match='bound'): + ledger.reset() +del q, a +gc.collect() +ledger.reset() +assert ledger.copy().residual().tolist() == [10] +""") + + +def test_failed_acquisition_releases_waiters(): + run( + CACHE_SETUP + + """ +for stage in ('cache_queued', 'cache_acquired', 'ledger_wait', 'ledger_acquired'): + probe = Probe(fail=stage) + with pytest.raises(RuntimeError, match='injected native failure'): + probe.run(lambda: policy(ledger, cache=cache)) + assert ledger._state()['bound'] == [p._owner()] + cache.freeze() + cache.thaw() + assert p.place(0).delivered == 0 +""" + ) + + +def test_lowest_worker_exception_survives_overlap(): + run( + CACHE_SETUP + + """ +cache.freeze() +for entry in ('pairs', 'failures'): + if entry == 'pairs': + operation = lambda: ngc.evaluate_pairs(network, [(0, 1)]*4, options, workers=3) + else: + big = ngc.Graph(2, [0]*4, [1]*4, [10]*4, [1]*4, 1.0) + operation = lambda: ngc.evaluate_edge_failures(big, 0, 1, ngc.EvaluationOptions(ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.EQUAL)), offer=4), 3) + probe = Probe(workers=[0, 2], reverse=True) + with pytest.raises(RuntimeError, match='injected worker failure 0$'): + probe.run(operation) +""" + ) + + +def test_failure_does_not_strand_waiters(): + run(""" +for operation in (lambda: p.place(3), lambda: p.replace(3), lambda: p.forward(3), + lambda: ngc.apply_actions(ledger, [ngc.Replace(p, 3)])): + p.replace(1) + before = (ledger.carried().tolist(), p.program, [r.flow_id for r in p.records()]) + failure = Probe(fail='before_publication') + with pytest.raises(RuntimeError, match='injected native failure'): + failure.run(operation) + assert ledger.carried().tolist() == before[0] and p.program is before[1] + assert [r.flow_id for r in p.records()] == before[2] + assert p.replace(2).delivered == 2 +""") + + +def test_zero_empty_and_masked_calls(): + run(""" +assert p.place(0).program is None +assert ngc.apply_actions(ledger, []) == [] +masked = ngc.FlowPolicy(ledger, 0, 1, ngc.FlowPolicyConfig(routing=ngc.ShortestPaths()), eligibility=network.eligibility(excluded_nodes=[0])) +assert masked.place(5).delivered == 0 +before = p.place(3) +for mode in (ngc.BatchMode.ORDERED, ngc.BatchMode.SIMULTANEOUS): + # A zero LOSSY participant changes no other participant's quantities. + l = ngc.FlowLedger(network) + a, z = policy(l, lossy=True), policy(l, lossy=True) + r = ngc.apply_actions(l, [ngc.Replace(a, 3), ngc.Replace(z, 0)], mode=mode) + assert [x.delivered for x in r] == [3, 0] + assert l.carried().tolist() == [3] +assert p.place(0).program is before.program +""") + + +@GIL_ONLY +def test_immutable_native_operations_overlap_heartbeat(): + run(""" +assert sys._is_gil_enabled() +sys.setswitchinterval(0.000001) +big = ngc.Graph(2, [0]*30000, [1]*30000, [10]*30000, [1]*30000, 1.0) +probe = Probe() +edges = list(range(30000)) +from helpers import dag_of +mask = big.eligibility(excluded_edges=edges[::2]) +dag = dag_of(big, edges) +chain = ngc.Graph(10001, list(range(10000)), list(range(1, 10001)), [10]*10000, [1]*10000, 1.0) +hops = [[i] for i in range(10000)] +path = ngc.Path(chain, hops) +operations = [lambda: ngc.Graph(2, [0]*30000, [1]*30000, [10]*30000, [1]*30000, 1.0), + lambda: big.eligibility(excluded_edges=edges[::2]), + lambda: ngc.Eligibility.intersect(mask, mask), + lambda: ngc.PredecessorDAG.from_csr(big, dag.parent_offsets(), dag.parents(), dag.via_edges()), + lambda: ngc.Path(chain, hops), + path.to_dag, + lambda: ngc.ForwardingProgram.from_dag(big, 0, 1, dag), + lambda: ngc.ForwardingProgram.from_routes(chain, 0, 10000, [ngc.RouteDefinition(0, path)]), + lambda: ngc.spf(big, 0, ngc.SpfOptions(ngc.Direction.FORWARD)), + lambda: ngc.ksp(big, 0, 1, ngc.KspOptions(10)), + lambda: ngc.resolve_to_paths(big, dag, 0, 1, split_parallel_edges=True, max_paths=10000), + lambda: ngc.to_units(np.ones(300000), 1.0), + lambda: ngc.as_float(np.ones(300000, dtype=np.int64), 1.0)] +observations = {} +names = ('graph', 'eligibility', 'intersect', 'csr', 'path', 'path_to_dag', 'program_dag', 'program_routes', 'spf', 'ksp', 'resolve', 'to_units', 'as_float') +for name, operation in zip(names, operations, strict=True): + task = start(lambda: [operation() for _ in range(8)], probe) + overlap = 0 + while task[0].is_alive(): + counts = probe.counts() + overlap += counts['native_begin'] > counts['native_complete'] + finish(task) + observations[name] = overlap +assert all(value > 0 for value in observations.values()), observations +""") + + +def test_trace_conversion_is_separate_read(): + run(""" +result, trace = p._place_traced(3) +assert result.delivered == 3 +before = (ledger.carried().tolist(), p.program, p._state()) +first = trace.as_dict() +assert set(first) == {'prepare', 'T'} +assert trace.as_dict() == first +from helpers import plain +assert type(plain(trace)) is dict and plain(trace) == first +# One unconstrained source: the equal-allocation search checks 0, then offer 3. +assert first['T'] == [0, 3] +poisoned = dict(first) +poisoned['T'] = None +assert plain(trace) != poisoned +poisoned['T'] = [0, 4] +assert plain(trace) != poisoned +assert before == (ledger.carried().tolist(), p.program, p._state()) +probe = Probe(pause='ledger_acquired') +task = start(lambda: p.place(0), probe) +assert probe.wait('ledger_acquired') +assert trace.as_dict() == first +probe.release() +finish(task) +""") + + +def test_daemon_exit_releases_native_resources(): + # Py_AtExit runs after Python teardown. Its native waiter owns a different + # policy on the busy ledger, or queues thaw against the daemon's outer lease. + for resource in ("ledger", "cache"): + output = run_python( + SETUP + + f"\nresource = {resource!r}\n" + + """ +if resource == 'ledger': + probe = Probe(pause='ledger_acquired', auto_release_ms=1000) + ext._at_native_exit(ledger, None, probe) + operation = lambda: p.replace(3) + stage = 'ledger_acquired' +else: + cache = ngc.ShortestPathCache(network) + options = ngc.EvaluationOptions(ngc.FlowPolicyConfig(routing=ngc.ShortestPaths()), cache=cache, offer=3) + assert ngc.evaluate_demand(network, 0, 1, options).delivered == 3 + cache.freeze() + probe = Probe(pause='cache_acquired', auto_release_ms=1000) + ext._at_native_exit(None, cache, probe) + operation = lambda: ngc.evaluate_demand(network, 0, 1, options) + stage = 'cache_acquired' +task = start(operation, probe) +assert probe.wait(stage) +assert probe.counts()['pause_begin'] == 1 and probe.counts()['pause_end'] == 0 +print('CHILD: finalizing with daemon holding', resource, flush=True) +""", + cleanup=False, + ) + assert "CHILD: native finalizer waiting after Python teardown" in output + assert "CHILD: native finalizer completed" in output + + +def test_every_program_representation_uses_the_transaction_gate(): + run(""" +from helpers import dag_of, plain +from test_apply_actions import World +from test_contract_examples import mismatch +# Two heads, a branch and a merge, and one shared final link. Each program +# representation describes these same walks; a competing offer makes the final +# link bind. Compare whole serial states, not only aggregate delivery. +network = ngc.Graph(7, [0,1,2,2,3,4,5], [2,2,3,4,5,5,6], [10]*7, [1]*7, 1.0) +dag = dag_of(network, range(7)) +paths = [ngc.Path(network, [[first],[branch],[last],[6]]) for first in (0,1) for branch,last in ((2,4),(3,5))] +programs = { + 'pooled_dag': ngc.ForwardingProgram.from_dag(network, [0,1], 6, dag), + 'tunnels': ngc.ForwardingProgram.from_routes(network, [0,1], 6, [ngc.RouteDefinition(i//2, path) for i,path in enumerate(paths)]), + 'split_routes': ngc.ForwardingProgram.from_routes(network, [0,1], 6, [ngc.RouteDefinition(head, dag) for head in (0,1)]), + 'mixed': ngc.ForwardingProgram.from_routes(network, [0,1], 6, [ngc.RouteDefinition(0, dag), ngc.RouteDefinition(0, paths[0]), ngc.RouteDefinition(1, dag), ngc.RouteDefinition(1, paths[2])]), +} +outputs = ngc.OutputOptions(edge_flows=True, residual=True, saturated_boundary_edges=True, edge_reservations=True) +def make(representation): + world = World(network) + routing = ngc.ShortestPaths() if representation == 'shortest_paths' else ngc.Pinned(programs[representation]) + config = ngc.FlowPolicyConfig(routing=routing, admission=ngc.Admission.LOSSY) + for _ in range(2): + world.add([0,1], [6], config).replace(2) + return world + +def operation(world, entry): + a,b = world.p + if entry == 'place': + return lambda: a.place(7, outputs) + if entry == 'evaluate': + return lambda: a.evaluate(9, outputs=outputs) + if entry == 'replace': + return lambda: a.replace(9, outputs=outputs) + if entry == 'forward': + return lambda: a.forward(9, outputs=outputs) + mode = ngc.BatchMode.ORDERED if entry == 'ordered' else ngc.BatchMode.SIMULTANEOUS + return lambda: ngc.apply_actions(world.ledger, [ngc.Replace(a, 9), ngc.Replace(b, 7)], mode=mode, outputs=outputs) + +def capture(task): + try: + return finish(task) + except Exception as error: + # A reader of a partial publication can fail on a retired record as well + # as return a mixed value. Keep that failure and exercise every other path. + return ('unexpected task error', type(error).__name__, str(error)) + +checked, failures = [], [] +for representation in ('shortest_paths', *programs): + entries = ('place', 'evaluate', 'replace', 'ordered', 'simultaneous') + if representation == 'shortest_paths': + entries += ('forward',) + for entry in entries: + serial, racing = make(representation), make(representation) + want = plain(operation(serial, entry)()) + want_state = serial.state() + call = operation(racing, entry) + if entry != 'evaluate': + before = racing.state() + with pytest.raises(RuntimeError, match='injected native failure'): + Probe(fail='before_publication').run(call) + assert mismatch(racing.state(), before) is None, (representation, entry, 'failed call published') + holder = Probe(pause='ledger_acquired' if entry == 'evaluate' else 'after_exchange') + reader = Probe() + writer = start(call, holder) + assert holder.wait('ledger_acquired' if entry == 'evaluate' else 'after_exchange') + observer = start(racing.state, reader) + assert reader.wait('ledger_wait') + early = False + got_state = None + try: + early = reader.wait('ledger_acquired', seconds=0.1) + if early: + # A gate-removal plant still makes an owned snapshot while the + # writer is stopped. Join the reader before resuming writes. + got_state = capture(observer) + finally: + holder.release() + got = plain(capture(writer)) + if not early: + got_state = capture(observer) + differences = (early, mismatch(got, want), mismatch(got_state, want_state)) + if any(differences): + failures.append((representation, entry, differences)) + print('CHILD: transaction', representation, entry, 'failed', flush=True) + checked.append((representation, entry)) +assert len(checked) == 26 +assert failures == [], failures +""") + + +def test_batch_first_pass_uses_one_detach_and_no_computation_event(): + run(""" +chain = ngc.Graph(4, [0,1,2], [1,2,3], [10]*3, [1]*3, 1.0) +for routing in (ngc.DistributedTE(ngc.TunnelCount(1)), + ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.EQUAL, tunnel_count=ngc.TunnelCount(1))): + options = ngc.EvaluationOptions(ngc.FlowPolicyConfig(routing=routing), design_demand=1, offer=1) + for count in (1, 8): + probe = Probe() + result = probe.run(ngc.evaluate_pairs, chain, [(0,3)]*count, options, None, 3) + counts = probe.counts() + assert len(result) == count and all(r.delivered == 1 for r in result) + assert counts['argument_begin'] == 1, counts + assert counts['native_begin'] == counts['native_complete'] == 1, counts + assert counts['tunnel_roster_search'] == count, counts + for bad in ((2,2), ([],3), None): + probe = Probe() + with pytest.raises((ValueError, TypeError)): + probe.run(ngc.evaluate_pairs, chain, [(0,3), bad], options, None, 2) + counts = probe.counts() + assert counts['argument_begin'] == counts['tunnel_roster_search'] == 1, counts + assert counts['native_begin'] == counts['native_complete'] == counts['ledger_wait'] == counts['cache_queued'] == 0, counts + failed = Probe(workers=[0,1], reverse=True) + with pytest.raises(RuntimeError, match='^injected worker failure 0$'): + failed.run(ngc.evaluate_pairs, chain, [(0,3), (0,3), ([],3)], options, None, 2) + assert failed.counts()['native_begin'] == failed.counts()['ledger_wait'] == failed.counts()['cache_queued'] == 0 +""") diff --git a/tests/py/test_concurrency_public.py b/tests/py/test_concurrency_public.py new file mode 100644 index 0000000..6fd621e --- /dev/null +++ b/tests/py/test_concurrency_public.py @@ -0,0 +1,187 @@ +"""Public concurrency promises on ordinary and free-threaded, hooks ON/OFF builds.""" + +from concurrency_support import run_python + + +def test_shared_policy_increments(): + run_python(""" + ledger = ngc.FlowLedger(graph(100)) + a, b = policy(ledger), policy(ledger) + def place(i): + return (a if i % 2 else b).place(1).call_delivered + with ThreadPoolExecutor(4) as pool: + results = list(pool.map(place, range(240))) + assert sum(results) == a.delivered() + b.delivered() == 100 + assert ledger.carried().tolist() == [100] + assert ledger.residual().tolist() == [0] + assert sum(row.delivered for row in ledger.records()) == 100 + """) + + +def test_replacements_replay_by_flow_id(): + run_python(""" + for mode in (ngc.BatchMode.ORDERED, ngc.BatchMode.SIMULTANEOUS): + ledger = ngc.FlowLedger(graph()) + a, b = policy(ledger, lossy=True), policy(ledger, lossy=True) + ngc.apply_actions(ledger, [ngc.Replace(a, 2), ngc.Replace(b, 3)], mode=mode) + owner_a, owner_b = [row.policy_id for row in ledger.records()] + def writer(): + for i in range(80): + offers = (2, 3) if i % 2 else (6, 4) + results = ngc.apply_actions(ledger, [ngc.Replace(a, offers[0]), ngc.Replace(b, offers[1])], mode=mode) + assert [row.delivered for row in results] == list(offers) + def reader(): + for _ in range(200): + records = ledger.records() + amounts = {row.policy_id: row.delivered for row in records} + assert (amounts[owner_a], amounts[owner_b]) in ((2, 3), (6, 4)) + ids = [row.flow_id for row in records] + assert ids == sorted(ids) and len(set(ids)) == 2 + with ThreadPoolExecutor(3) as pool: + jobs = [pool.submit(writer), pool.submit(reader), pool.submit(reader)] + for job in jobs: + job.result() + """) + + +def test_independent_ledgers(): + run_python(""" + network = graph(1000) + ledgers = [ngc.FlowLedger(network), ngc.FlowLedger(network)] + policies = [policy(ledger) for ledger in ledgers] + barrier = threading.Barrier(2) + def worker(p): + barrier.wait(5) + return sum(p.place(1).call_delivered for _ in range(400)) + with ThreadPoolExecutor(2) as pool: + assert list(pool.map(worker, policies)) == [400, 400] + assert [ledger.residual().tolist() for ledger in ledgers] == [[600], [600]] + assert ledgers[0].uid() != ledgers[1].uid() + """) + + +def test_immutable_configuration_and_snapshots(): + run_python(""" + network = graph() + ledger = ngc.FlowLedger(network) + p = policy(ledger) + old_result = p.place(3, ngc.OutputOptions(residual=True, edge_flows=True)) + old_record = p.records()[0] + old_program = p.program + config = p.config + def reader(_): + for _ in range(100): + assert old_result.delivered == old_record.delivered == 3 + assert old_result.residual.tolist() == [7] + assert old_result.edge_flows.tolist() == [3] + assert old_record.route.graph_uid() == network.uid() + assert old_program.sources == (0,) and old_program.destinations == (1,) + assert config.admission == ngc.Admission.LOSSLESS + def writer(_): + for i in range(50): + p.replace(i % 10) + with ThreadPoolExecutor(4) as pool: + jobs = [pool.submit(reader, i) for i in range(3)] + [pool.submit(writer, 0)] + for job in jobs: + job.result() + assert old_record.delivered == old_result.delivered == 3 + """) + + +def test_cache_lifecycle_and_retained_values(): + run_python(""" + network = graph() + cache = ngc.ShortestPathCache(network) + options = ngc.EvaluationOptions(ngc.FlowPolicyConfig(routing=ngc.ShortestPaths()), cache=cache, offer=3) + retained = ngc.evaluate_demand(network, 0, 1, options) + def reader(): + for _ in range(100): + assert ngc.evaluate_pairs(network, [(0, 1), (0, 1)], options, workers=1)[0].delivered == 3 + def lifecycle(): + for _ in range(100): + cache.freeze() + cache.thaw() + with ThreadPoolExecutor(3) as pool: + jobs = [pool.submit(reader), pool.submit(reader), pool.submit(lifecycle)] + for job in jobs: + job.result() + assert cache.stats().hits == 400 + cache.clear() + assert cache.stats().entries == 0 + assert retained.program.sources == (0,) and retained.program.destinations == (1,) + assert retained.delivered == 3 + """) + + +def test_public_policy_teardown(): + run_python(""" + network = graph() + ledger = ngc.FlowLedger(network) + p = policy(ledger) + p.place(3) + record = ledger.records()[0] + del p + gc.collect() + assert ledger.records()[0].flow_id == record.flow_id + assert ledger.carried().tolist() == [3] + copied = ledger.copy() + assert copied.carried().tolist() == [3] + assert copied.uid() != ledger.uid() + ledger.reset() + assert ledger.records() == [] + assert ledger.residual().tolist() == [10] + """) + + +def test_final_policy_rejects_swallowed_constructor_error(): + run_python(""" + with pytest.raises(TypeError): + class Swallow(ngc.FlowPolicy): + def __init__(self): + try: + super().__init__(None, 0, 1, ngc.FlowPolicyConfig(routing=ngc.ShortestPaths())) + except Exception: + pass + network = graph() + ledger = ngc.FlowLedger(network) + cache = ngc.ShortestPathCache(network) + cache.freeze() + shell = ngc.FlowPolicy.__new__(ngc.FlowPolicy) + with pytest.raises(ngc.ShortestPathCacheMiss): + ngc.FlowPolicy.__init__(shell, ledger, 0, 1, ngc.FlowPolicyConfig(routing=ngc.ShortestPaths()), cache=cache) + with pytest.raises(TypeError): + shell.place(1) + del shell + gc.collect() + ledger.reset() + class Pretender: + reads = 0 + @property + def __class__(self): + self.reads += 1 + return ngc.FlowPolicy + fake = Pretender() + # Python's isinstance accepts this object; its actual native layout is unrelated. + assert type(fake) is Pretender and isinstance(fake, ngc.FlowPolicy) + assert fake.reads == 1 + for action in (ngc.Place, ngc.Replace, ngc.Forward): + with pytest.raises(TypeError, match='policy must be a FlowPolicy'): + action(fake, 1) + entries = [ + lambda: ngc.FlowPolicy.config.fget(fake), + lambda: ngc.FlowPolicy.program.fget(fake), + lambda: ngc.FlowPolicy.place(fake, 1), + lambda: ngc.FlowPolicy.evaluate(fake, 1), + lambda: ngc.FlowPolicy.replace(fake, 1), + lambda: ngc.FlowPolicy.forward(fake, 1), + lambda: ngc.FlowPolicy.remove(fake), + lambda: ngc.FlowPolicy.delivered(fake), + lambda: ngc.FlowPolicy.records(fake), + lambda: ngc.FlowPolicy.record(fake, (ledger.uid(), 0)), + ] + for entry in entries: + with pytest.raises(TypeError, match='policy must be a FlowPolicy'): + entry() + assert fake.reads == 1 + assert ledger.carried().tolist() == [0] + """) diff --git a/tests/py/test_contract_examples.py b/tests/py/test_contract_examples.py index 98987be..7c83b55 100644 --- a/tests/py/test_contract_examples.py +++ b/tests/py/test_contract_examples.py @@ -3,7 +3,7 @@ and returns what the example names, compared field by field (an expected mapping may name fewer fields than the adapter returns; an int is not a float or a bool; a Fraction compares by its exact string). The examples of several demands at once run as one apply_actions list (each route or head -its own demand); the examples of concurrent publication are not here. +its own demand); concurrent publication examples use an exhaustive native finite-state port. Examples given as routes of link indices (no nodes) are laid out as one head, a feeder link to each route's first link, a connector between consecutive links and an exit link to one destination; @@ -23,6 +23,7 @@ import _netgraph_core as ext import numpy as np import pytest +from private_hooks import needs_hooks import netgraph_core as ngc @@ -1798,6 +1799,9 @@ def run_list_validation(cases): (p.place if admission == LL else p.replace)(1) if a.get("after_infinite"): p.place(INF) + if "requested" in a: + requested = a["requested"] + p._seed_requested(requested >> 64, requested & ((1 << 64) - 1)) policies[a["policy"]] = p p = policies[a["policy"]] offer = INF if a["offer"] == "inf" else a["offer"] @@ -6435,7 +6439,7 @@ def view(rec, n, cut): "lossy forwarding iteration entered a period-2 cycle", "DistributedTE does not support incremental placement", "Pinned forwards with replace", - "finite placement after infinite placement requires a new epoch", + "list policy belongs to another ledger", "ShortestPaths does not accept design_demand", "black_holes belongs to another graph", "valid", @@ -6757,13 +6761,496 @@ def check_outside_the_domain(example): assert mismatch(split_offer_on_unit_links(**case), want) is None, case +def run_publication(locked): + return ext._concurrency_model( + "publication-locked" if locked else "publication-unlocked" + ) + + +def run_phases(protocol): + return ext._concurrency_model(protocol) + + +def run_search_call_checks(case): + faults = set(case["faults"]) + heads = 107375 + g = ngc.Graph( + heads + 2, list(range(1, heads + 1)), [0] * heads, [1] * heads, [1] * heads, 1.0 + ) + options = ngc.EvaluationOptions( + ngc.FlowPolicyConfig(routing=ngc.DistributedTE(ngc.TunnelCount(10000))), + design_demand=None if "no_design" in faults else 1, + offer=INF if "offer_infinite" in faults else 1, + ) + try: + if case["entry"] == "evaluate_pairs": + pairs = [] + for i in range(2): + if f"p{i}_overlap" in faults: + pairs.append(([heads + 1], [heads + 1])) + elif f"p{i}_tunnel_limit" in faults: + pairs.append((list(range(1, heads + 1)), [0])) + else: + pairs.append(([1], [0])) + ngc.evaluate_pairs(g, pairs, options, workers=2) + else: + sources = list(range(1, heads + 1)) if "tunnel_limit" in faults else [1] + if case["entry"] == "evaluate_demand": + ngc.evaluate_demand(g, sources, 0, options) + else: + ngc.evaluate_edge_failures(g, sources, 0, options, workers=2) + except (TypeError, ValueError) as error: + return f"{type(error).__name__}: {error}" + return "valid" + + +def run_call_checks(cases): + out = [] + for case in cases: + faults = set(case["faults"]) + if case["entry"] == "evaluate_demand" or any( + "tunnel_limit" in f or f.endswith("_overlap") for f in faults + ): + out.append(run_search_call_checks(case)) + continue + g = ngc.Graph(2, [0], [1], [10], [1], 1.0) + other = ngc.Graph(2, [0], [1], [10], [1], 1.0) + program = ngc.ForwardingProgram.from_routes( + g, 0, 1, [ngc.RouteDefinition(0, ngc.Path(g, [[0]]))] + ) + routing = ngc.Pinned(program) if "pinned" in faults else ngc.ShortestPaths() + try: + if case["entry"] == "forward": + p = ngc.FlowPolicy( + ngc.FlowLedger(g), + 0, + 1, + ngc.FlowPolicyConfig(routing=routing, admission=LY), + ) + offer = ( + "x" + if "offer_type" in faults + else ( + -1 + if "offer_domain" in faults + else (INF if "lossy_infinite" in faults else 1) + ) + ) + black_holes = ( + "x" + if "black_holes_type" in faults + else ( + other.eligibility(excluded_edges=[0]) + if "foreign_black_holes" in faults + else None + ) + ) + p.forward(offer, black_holes=black_holes) + else: + cache = ngc.ShortestPathCache(other if "foreign_cache" in faults else g) + options = ngc.EvaluationOptions( + ngc.FlowPolicyConfig(routing=routing), + cache=cache, + offer=INF if "offer_infinite" in faults else None, + ) + if case["entry"] == "evaluate_pairs": + pairs = ( + "x" + if "pairs_type" in faults + else ([(0, 1, 2)] if "pair_length" in faults else [(0, 1)]) + ) + ngc.evaluate_pairs(g, pairs, options, workers=2) + else: + ngc.evaluate_edge_failures(g, 0, 1, options, workers=2) + except (ValueError, TypeError) as error: + out.append(f"{type(error).__name__}: {error}") + else: + out.append("valid") + return out + + +ADAPTERS.update( + publication=run_publication, phases=run_phases, call_checks=run_call_checks +) +EXAMPLES.extend( + [ + { + "id": "F-publication-locked", + "oracle": "publication", + "input": {"locked": True}, + "expected": {"mixed": 0, "states": 15}, + }, + { + "id": "F-publication-unlocked", + "oracle": "publication", + "input": {"locked": False}, + "expected": {"mixed": 2, "states": 23}, + }, + { + "id": "CALL-state-second", + "oracle": "call_checks", + "input": { + "cases": [ + {"entry": "forward", "faults": ["no_program", "offer_type"]}, + {"entry": "forward", "faults": ["no_program", "offer_domain"]}, + {"entry": "forward", "faults": ["no_program", "black_holes_type"]}, + {"entry": "forward", "faults": ["no_program", "lossy_infinite"]}, + { + "entry": "forward", + "faults": ["no_program", "foreign_black_holes"], + }, + {"entry": "forward", "faults": ["pinned", "offer_type"]}, + {"entry": "forward", "faults": ["no_program"]}, + {"entry": "evaluate_pairs", "faults": ["building_cache", "pinned"]}, + { + "entry": "evaluate_pairs", + "faults": ["building_cache", "offer_infinite"], + }, + { + "entry": "evaluate_pairs", + "faults": ["building_cache", "pairs_type"], + }, + { + "entry": "evaluate_pairs", + "faults": ["building_cache", "pair_length"], + }, + { + "entry": "evaluate_pairs", + "faults": ["foreign_cache", "building_cache"], + }, + {"entry": "evaluate_pairs", "faults": ["building_cache"]}, + { + "entry": "evaluate_edge_failures", + "faults": ["building_cache", "offer_infinite"], + }, + {"entry": "evaluate_edge_failures", "faults": ["building_cache"]}, + ] + }, + "expected": [ + "TypeError: offer must be an integer in [0, 2^62) or permitted +inf", + "ValueError: offer must be an integer in [0, 2^62) or permitted +inf", + "TypeError: black_holes must be an Eligibility or None (got str)", + "ValueError: LOSSY forwarding requires a finite offer", + "ValueError: black_holes belongs to another graph", + "ValueError: Pinned forwards with replace", + "ValueError: forward requires an installed program", + "ValueError: evaluate_pairs does not accept Pinned", + "ValueError: offer must be an integer in [0, 2^62)", + "TypeError: pairs must be a sequence of (sources, destinations)", + "ValueError: each pair must be (sources, destinations)", + "ValueError: foreign ShortestPathCache: bound to another graph", + "ValueError: a supplied building ShortestPathCache has one writer: it " + "is rejected unless workers == 1 (got workers = 2; a frozen cache may " + "be shared by every worker)", + "ValueError: offer must be an integer in [0, 2^62)", + "ValueError: a supplied building ShortestPathCache has one writer: it " + "is rejected unless workers == 1 (got workers = 2; a frozen cache may " + "be shared by every worker)", + ], + }, + { + "id": "LIST-state-second", + "oracle": "list_validation", + "input": { + "cases": [ + { + "mode": "ORDERED", + "actions": [ + { + "kind": "Forward", + "policy": "a", + "model": "ShortestPaths", + "admission": "LOSSY", + "offer": -1, + } + ], + }, + { + "mode": "ORDERED", + "actions": [ + { + "kind": "Forward", + "policy": "a", + "model": "ShortestPaths", + "admission": "LOSSY", + "offer": 1, + "foreign_black_holes": True, + } + ], + }, + { + "mode": "ORDERED", + "actions": [ + { + "kind": "Forward", + "policy": "a", + "model": "ShortestPaths", + "admission": "LOSSY", + "offer": 1, + }, + { + "kind": "Replace", + "policy": "x", + "model": "ShortestPaths", + "admission": "LOSSY", + "offer": 1, + "foreign": True, + }, + ], + }, + { + "mode": "ORDERED", + "actions": [ + { + "kind": "Place", + "policy": "a", + "model": "ShortestPaths", + "admission": "LOSSY", + "offer": 5, + "after_infinite": True, + }, + { + "kind": "Replace", + "policy": "b", + "model": "ShortestPaths", + "admission": "LOSSY", + "offer": -1, + }, + ], + }, + { + "mode": "ORDERED", + "actions": [ + { + "kind": "Place", + "policy": "a", + "model": "ShortestPaths", + "admission": "LOSSY", + "offer": 1, + "requested": 170141183460469231731687303715884105727, + }, + { + "kind": "Replace", + "policy": "b", + "model": "ShortestPaths", + "admission": "LOSSY", + "offer": -1, + }, + ], + }, + { + "mode": "ORDERED", + "actions": [ + { + "kind": "Place", + "policy": "a", + "model": "ShortestPaths", + "admission": "LOSSY", + "offer": 1, + "requested": 170141183460469231731687303715884105727, + } + ], + }, + { + "mode": "ORDERED", + "actions": [ + { + "kind": "Forward", + "policy": "a", + "model": "ShortestPaths", + "admission": "LOSSY", + "offer": 1, + }, + { + "kind": "Place", + "policy": "b", + "model": "ShortestPaths", + "admission": "LOSSY", + "offer": 5, + "after_infinite": True, + }, + ], + }, + { + "mode": "ORDERED", + "actions": [ + { + "kind": "Place", + "policy": "a", + "model": "ShortestPaths", + "admission": "LOSSY", + "offer": 5, + "after_infinite": True, + }, + { + "kind": "Forward", + "policy": "b", + "model": "ShortestPaths", + "admission": "LOSSY", + "offer": 1, + }, + ], + }, + { + "mode": "SIMULTANEOUS", + "actions": [ + { + "kind": "Forward", + "policy": "a", + "model": "ShortestPaths", + "admission": "LOSSY", + "offer": 1, + }, + { + "kind": "Replace", + "policy": "b", + "model": "Pinned", + "admission": "LOSSY", + "offer": 4611686018427387904, + }, + ], + }, + ] + }, + "expected": [ + "offer must be an integer in [0, 2^62) or permitted +inf", + "black_holes belongs to another graph", + "list policy belongs to another ledger", + "offer must be an integer in [0, 2^62) or permitted +inf", + "offer must be an integer in [0, 2^62) or permitted +inf", + "requested limit exceeded", + "forward requires an installed program", + "finite placement after infinite placement requires a new epoch", + "offer must be an integer in [0, 2^62) or permitted +inf", + ], + }, + { + "id": "F-publish-result-first", + "oracle": "phases", + "input": {"protocol": "publish-result-first"}, + "expected": { + "states": 22, + "partial": 0, + "python_under_lock": 0, + "late_hits": 0, + }, + }, + { + "id": "F-publish-result-after", + "oracle": "phases", + "input": {"protocol": "publish-result-after"}, + "expected": { + "states": 22, + "partial": 1, + "python_under_lock": 0, + "late_hits": 0, + }, + }, + { + "id": "F-read-result-failure", + "oracle": "phases", + "input": {"protocol": "read-result-failure"}, + "expected": { + "states": 20, + "partial": 0, + "python_under_lock": 0, + "late_hits": 0, + }, + }, + { + "id": "F-read-result-under-gate", + "oracle": "phases", + "input": {"protocol": "read-result-under-gate"}, + "expected": { + "states": 18, + "partial": 0, + "python_under_lock": 2, + "late_hits": 0, + }, + }, + { + "id": "F-frozen-hits", + "oracle": "phases", + "input": {"protocol": "frozen-hits"}, + "expected": { + "states": 25, + "partial": 0, + "python_under_lock": 0, + "late_hits": 0, + }, + }, + { + "id": "F-frozen-hits-after-lease", + "oracle": "phases", + "input": {"protocol": "frozen-hits-after-lease"}, + "expected": { + "states": 28, + "partial": 0, + "python_under_lock": 0, + "late_hits": 2, + }, + }, + ] +) + + +EXAMPLES.append( + { + "id": "CALL-search-first-pass", + "oracle": "call_checks", + "input": { + "cases": [ + {"entry": "evaluate_pairs", "faults": ["p0_tunnel_limit"]}, + { + "entry": "evaluate_pairs", + "faults": ["offer_infinite", "p0_tunnel_limit"], + }, + { + "entry": "evaluate_pairs", + "faults": ["p0_tunnel_limit", "p1_overlap"], + }, + { + "entry": "evaluate_pairs", + "faults": ["p0_overlap", "p1_tunnel_limit"], + }, + { + "entry": "evaluate_edge_failures", + "faults": ["tunnel_limit", "offer_infinite"], + }, + { + "entry": "evaluate_demand", + "faults": ["tunnel_limit", "offer_infinite"], + }, + {"entry": "evaluate_demand", "faults": ["tunnel_limit", "no_design"]}, + {"entry": "evaluate_demand", "faults": ["offer_infinite", "no_design"]}, + ] + }, + "expected": [ + "ValueError: tunnel limit exceeded: 107375 heads x 10000 tunnels > 1073741823", + "ValueError: offer must be an integer in [0, 2^62)", + "ValueError: tunnel limit exceeded: 107375 heads x 10000 tunnels > 1073741823", + "ValueError: node 107376 is in both endpoint sets: sources and destinations must not overlap", + "ValueError: tunnel limit exceeded: 107375 heads x 10000 tunnels > 1073741823", + "ValueError: tunnel limit exceeded: 107375 heads x 10000 tunnels > 1073741823", + "ValueError: tunnel limit exceeded: 107375 heads x 10000 tunnels > 1073741823", + "ValueError: offer must be an integer in [0, 2^62)", + ], + } +) + + def _param(example): - return pytest.param(example, id=example["id"]) + marks = ( + needs_hooks + if example["id"].startswith("F-") or example["id"] == "LIST-state-second" + else [] + ) + return pytest.param(example, id=example["id"], marks=marks) def test_every_example_once(): ids = [e["id"] for e in EXAMPLES] - assert len(ids) == len(set(ids)) == 188 + assert len(ids) == len(set(ids)) == 199 assert {e["oracle"] for e in EXAMPLES} <= set(ADAPTERS) @@ -6779,3 +7266,163 @@ def test_contract_example(example): adapter = SEVERAL_DEMANDS.get(example["id"], ADAPTERS[example["oracle"]]) got = adapter(**copy.deepcopy(example["input"])) assert mismatch(got, expected) is None + + +def test_every_pair_of_call_check_faults(): + # The ordered first-pass and second-pass refusals, derived independently + # from the documented scalar/evaluator order: 39 pairs plus 16 single-fault controls. + building = ( + "ValueError: a supplied building ShortestPathCache has one writer: it is rejected unless workers == 1 " + "(got workers = 2; a frozen cache may be shared by every worker)" + ) + order = { + "forward": [ + ("pinned", 1, "ValueError: Pinned forwards with replace"), + ("no_program", 2, "ValueError: forward requires an installed program"), + ( + "offer_type", + 1, + "TypeError: offer must be an integer in [0, 2^62) or permitted +inf", + ), + ( + "offer_domain", + 1, + "ValueError: offer must be an integer in [0, 2^62) or permitted +inf", + ), + ( + "black_holes_type", + 1, + "TypeError: black_holes must be an Eligibility or None (got str)", + ), + ( + "lossy_infinite", + 1, + "ValueError: LOSSY forwarding requires a finite offer", + ), + ( + "foreign_black_holes", + 1, + "ValueError: black_holes belongs to another graph", + ), + ], + "evaluate_pairs": [ + ( + "foreign_cache", + 1, + "ValueError: foreign ShortestPathCache: bound to another graph", + ), + ("building_cache", 2, building), + ("pinned", 1, "ValueError: evaluate_pairs does not accept Pinned"), + ("offer_infinite", 1, "ValueError: offer must be an integer in [0, 2^62)"), + ( + "pairs_type", + 1, + "TypeError: pairs must be a sequence of (sources, destinations)", + ), + ("pair_length", 1, "ValueError: each pair must be (sources, destinations)"), + ], + "evaluate_edge_failures": [ + ( + "foreign_cache", + 1, + "ValueError: foreign ShortestPathCache: bound to another graph", + ), + ("building_cache", 2, building), + ("offer_infinite", 1, "ValueError: offer must be an integer in [0, 2^62)"), + ], + } + count = 0 + for entry, checks in order.items(): + for pair in itertools.chain( + itertools.combinations(checks, 1), itertools.combinations(checks, 2) + ): + faults = {item[0] for item in pair} + expected = next( + text + for fault, _, text in sorted(checks, key=lambda c: c[1]) + if fault in faults + ) + assert run_call_checks([{"entry": entry, "faults": sorted(faults)}]) == [ + expected + ], (entry, faults) + count += 1 + assert count == 55 + + +def test_scalar_argument_conversions_precede_domain_checks(): + g = ngc.Graph(2, [0], [1], [10], [1], 1.0) + other = ngc.Graph(2, [0], [1], [10], [1], 1.0) + domain = "offer must be an integer in [0, 2^62) or permitted +inf" + design = "design_demand must be an integer in [0, 2^62) or permitted +inf" + for admission in (LL, LY): + for routing in (ngc.ShortestPaths(), ngc.DistributedTE(ngc.TunnelCount(1))): + ledger = ngc.FlowLedger(g) + policy = ngc.FlowPolicy( + ledger, 0, 1, ngc.FlowPolicyConfig(routing=routing, admission=admission) + ) + policy.replace( + 1, + **( + {"design_demand": 1} + if isinstance(routing, ngc.DistributedTE) + else {} + ), + ) + for operation in (policy.evaluate, policy.replace): + for offer, kwargs, error, text in [ + (-1, {"design_demand": "x"}, ValueError, domain), + (INF, {"design_demand": "x"}, TypeError, design), + (1, {"design_demand": "x"}, TypeError, design), + ( + -1, + {"outputs": "x"}, + ValueError, + domain, + ), + ( + INF, + {"outputs": "x"}, + TypeError, + "outputs must be an OutputOptions (got str)", + ), + ( + 1, + {"design_demand": 5, "outputs": "x"}, + TypeError, + "outputs must be an OutputOptions (got str)", + ), + ("x", {"design_demand": "x"}, TypeError, domain), + ]: + with pytest.raises(error) as caught: + operation(offer, **kwargs) + assert str(caught.value) == text + for offer, kwargs, error, text in [ + ( + INF, + {"black_holes": "x"}, + TypeError, + "black_holes must be an Eligibility or None (got str)", + ), + ( + -1, + {"black_holes": "x"}, + ValueError, + domain, + ), + ( + INF, + {"outputs": "x"}, + TypeError, + "outputs must be an OutputOptions (got str)", + ), + ( + 1, + {"black_holes": other.eligibility(), "outputs": "x"}, + TypeError, + "outputs must be an OutputOptions (got str)", + ), + ]: + with pytest.raises(error) as caught: + policy.forward(offer, **kwargs) + assert str(caught.value) == text + assert policy.delivered() == 1 diff --git a/tests/py/test_evaluators.py b/tests/py/test_evaluators.py index 7e617e2..5920b92 100644 --- a/tests/py/test_evaluators.py +++ b/tests/py/test_evaluators.py @@ -589,3 +589,146 @@ def test_failures_at_every_offer(): (pair,) = ngc.evaluate_pairs(g, [(0, 3)], o, workers=2) assert pair.call_delivered == base, (name, admission, offer) assert checked > 100 + + +def test_invalid_offer_precedes_frozen_cache_miss(): + g = par(5, 7) + cache = ngc.ShortestPathCache(g) + cache.freeze() + invalid = opts(ngc.ShortestPaths(), cache=cache, offer=INF) + valid = opts(ngc.ShortestPaths(), cache=cache, offer=1) + calls = [ + lambda o: ngc.evaluate_demand(g, 0, 1, o), + lambda o: ngc.evaluate_pairs(g, [(0, 1)], o, workers=2), + lambda o: ngc.evaluate_edge_failures(g, 0, 1, o, workers=2), + ] + for call in calls: + before = cache.stats() + with pytest.raises(ValueError) as error: + call(invalid) + assert str(error.value) == DOMAIN + after = cache.stats() + assert (after.hits, after.misses, after.entries) == ( + before.hits, + before.misses, + before.entries, + ) + with pytest.raises(ngc.ShortestPathCacheMiss): + call(valid) + after = cache.stats() + assert ( + after.misses == before.misses + 1 + and after.hits == before.hits + and after.entries == 0 + ) + cache.thaw() + result = ngc.evaluate_demand(g, 0, 1, valid) + assert result.call_delivered == 1 + + +@pytest.mark.parametrize("model", ["distributed", "centralized", "support"]) +def test_pair_rosters_use_the_composed_mask(model): + """Every reused roster has the same endpoints and effective mask as its evaluation.""" + import random + + from helpers import ALL_OUT, dag_of, plain + + def routing(g): + if model == "distributed": + return dte(2) + return ngc.CentralizedTE( + source_allocation=S.EQUAL, + tunnel_count=ngc.TunnelCount(2), + support=dag_of(g, range(g.num_edges())) if model == "support" else None, + ) + + # A removed source (or its only edge) leaves one head: the full offer 4 goes + # to that head. Using the unmasked two-head roster would lose its share. + g = build(4, [(0, 3, 4, 1), (1, 3, 8, 1)]) + masks = [ + g.eligibility(excluded_nodes=[0]), + g.eligibility(excluded_edges=[0]), + g.eligibility(excluded_nodes=[0, 1]), + ] + common = g.eligibility(excluded_nodes=[2]) + o = opts(routing(g), eligibility=common, design_demand=6, offer=4, outputs=ALL_OUT) + result = ngc.evaluate_pairs(g, [([0, 1], 3)] * 3, o, masks, 2) + assert [r.delivered for r in result] == [4, 4, 0] + assert [r.edge_flows.tolist() for r in result] == [[0, 4], [0, 4], [0, 0]] + zero = opts( + routing(g), eligibility=common, design_demand=6, offer=0, outputs=ALL_OUT + ) + assert all( + r.delivered == 0 + for r in ngc.evaluate_pairs(g, [([0, 1], 3)] * 3, zero, masks, 2) + ) + + rng = random.Random(7) + compared = 0 + for _ in range(150): + n = rng.randint(5, 9) + edges = [ + (u, v, rng.randint(1, 9), rng.randint(1, 4)) + for u in range(n) + for v in range(u + 1, n) + if rng.random() < 0.45 + ] + if not edges: + continue + g = build(n, edges) + common = ( + g.eligibility(excluded_edges=[rng.randrange(g.num_edges())]) + if rng.random() < 0.5 + else None + ) + pairs, per = [], [] + for _ in range(3): + nodes = list(range(n - 2)) + rng.shuffle(nodes) + heads = sorted(nodes[: rng.randint(2, 3)]) + pairs.append((heads, [rng.choice([n - 2, n - 1])])) + per.append( + g.eligibility( + excluded_nodes=[h for h in heads if rng.random() < 0.4], + excluded_edges=[ + e for e in range(g.num_edges()) if rng.random() < 0.25 + ], + ) + ) + config = ngc.FlowPolicyConfig(routing=routing(g)) + options = ngc.EvaluationOptions( + config, eligibility=common, design_demand=6, offer=4, outputs=ALL_OUT + ) + batch = ngc.evaluate_pairs(g, pairs, options, per, 2) + assert len(batch) == 3 + for i, (heads, destinations) in enumerate(pairs): + mask = ( + per[i] if common is None else ngc.Eligibility.intersect(common, per[i]) + ) + single = ngc.EvaluationOptions( + config, eligibility=mask, design_demand=6, offer=4, outputs=ALL_OUT + ) + assert plain(batch[i]) == plain( + ngc.evaluate_demand(g, heads, destinations, single) + ) + compared += 1 + assert compared >= 400 + + +def test_tunnel_pair_search_error_precedes_later_conversion_error(): + # floor((2^30-1)/10000)+1 reachable heads exceed the tunnel limit. + heads = ((1 << 30) - 1) // 10000 + 1 + g = build(heads + 1, [(h, heads, 1, 1) for h in range(heads)]) + expected = f"tunnel limit exceeded: {heads} heads x 10000 tunnels > {(1 << 30) - 1}" + for model in (dte(10000), t2(10000)): + options = opts(model, design_demand=1, offer=1) + for invalid in (None, (0,), ([], heads), (0, 0)): + with pytest.raises(ValueError, match=exact(expected)): + ngc.evaluate_pairs( + g, [(list(range(heads)), heads), invalid], options, workers=2 + ) + # If the earlier pair fails its linear checks, no later search takes precedence. + with pytest.raises(ValueError, match=exact("sources: the node set is empty")): + ngc.evaluate_pairs( + g, [([], heads), (list(range(heads)), heads)], options, workers=2 + ) diff --git a/tests/py/test_flow_policy.py b/tests/py/test_flow_policy.py index 6426ae4..dc560a9 100644 --- a/tests/py/test_flow_policy.py +++ b/tests/py/test_flow_policy.py @@ -8,6 +8,7 @@ import gc import weakref +import _netgraph_core as ext import numpy as np import pytest from helpers import ( @@ -968,26 +969,45 @@ def test_python_publication_is_all_or_nothing(routing, traced): cfg = GLOBAL if routing == "global" else COSTONLY g = build(2, [(0, 1, 10, 1)]) - def make(): - ledger = ngc.FlowLedger(g) - policy = ngc.FlowPolicy(ledger, 0, 1, cfg) - assert policy.place(1).call_delivered == 1 - - def snapshot(): - return [full_ledger_state(ledger), repr(policy._state())] - - return (policy._place_traced if traced else policy.place), (3,), snapshot - - # Not vacuous: the result object at least (its fields convert when read); traced, also the - # pair and the trace. - assert sweep_python_allocation(make) >= (3 if traced else 1) + for entry in ( + ("_place_traced",) if traced else ("place", "replace", "forward", "evaluate") + ): + current_probe = [] + + def make(entry=entry, current_probe=current_probe): + ledger = ngc.FlowLedger(g) + policy = ngc.FlowPolicy(ledger, 0, 1, cfg) + assert policy.place(1).call_delivered == 1 + probe = ext._ConcurrencyProbe() + current_probe[:] = [probe] + + def snapshot(): + return [ + full_ledger_state(ledger), + repr(policy._state()), + probe.counts()["native_begin"], + ] + + return getattr(policy, entry), (3,), snapshot + + def allocation_call(fn, args, k, current_probe=current_probe): + probe = current_probe[0] + result = probe.run(ext._fail_python_allocation, fn, args, k) + if not result[0]: + assert probe.counts()["native_begin"] == 1 + return result + + # Each scalar entry owns its result allocation path. Not vacuous: the result + # object at least; traced, also the pair and trace. Retry must return every field. + assert sweep_python_allocation(make, allocation_call=allocation_call) >= ( + 3 if traced else 1 + ), entry @needs_hooks def test_evaluator_results_survive_python_allocation_failures(): - # The evaluators publish nothing; their result objects are made through the checked path - # too, so a failed Python allocation raises instead of crashing, and the call that - # completes returns what a clean call returns. + # Fixed evaluator result objects exist before native entry, even without a supplied cache. + # A failed Python allocation raises before native work; the completed call matches a clean call. g = diamond(5, 3) calls = [ (ngc.evaluate_demand, (g, 0, 3, ngc.EvaluationOptions(GLOBAL))), @@ -1001,8 +1021,21 @@ def test_evaluator_results_survive_python_allocation_failures(): (ngc.evaluate_edge_failures, (g, 0, 3, ngc.EvaluationOptions(GLOBAL))), ] for fn, args in calls: - # An evaluator keeps no state between calls: nothing to snapshot. - failures = sweep_python_allocation(lambda fn=fn, args=args: (fn, args, list)) + current_probe = [] + + def make(fn=fn, args=args, current_probe=current_probe): + probe = ext._ConcurrencyProbe() + current_probe[:] = [probe] + return fn, args, lambda: probe.counts()["native_begin"] + + def allocation_call(fn, args, k, current_probe=current_probe): + probe = current_probe[0] + result = probe.run(ext._fail_python_allocation, fn, args, k) + if not result[0]: + assert probe.counts()["native_begin"] == 1 + return result + + failures = sweep_python_allocation(make, allocation_call=allocation_call) # Not vacuous: the result objects allocate (their fields convert when read). assert failures >= 1, fn.__name__ diff --git a/tests/py/test_flow_policy_fixtures.py b/tests/py/test_flow_policy_fixtures.py index 4aeeafd..1185a70 100644 --- a/tests/py/test_flow_policy_fixtures.py +++ b/tests/py/test_flow_policy_fixtures.py @@ -317,7 +317,7 @@ def construct(op=op, fg=fg, g=g): continue r, trace = pol._place_traced(offer, outputs) assert exactly(result_json(r), expect["result"]), where - assert exactly(norm(trace), expect["trace"]), where + assert exactly(norm(trace.as_dict()), expect["trace"]), where assert exactly(ledger_json(fg), expect["ledger"]), where assert exactly(policy_json(pol), expect["policy"]), where diff --git a/tests/py/test_getter_allocation.py b/tests/py/test_getter_allocation.py index fc022da..cd0b3d5 100644 --- a/tests/py/test_getter_allocation.py +++ b/tests/py/test_getter_allocation.py @@ -437,3 +437,66 @@ def read(): faults += 1 assert got is None and type(error) is MemoryError, (k, repr(error)) pytest.fail("no completing read in 20 allocation points") + + +@needs_hooks +def test_native_trace_conversion_allocation_failures(): + from concurrency_support import run_python + + run_python(""" +from helpers import full_ledger_state, sweep_python_allocation +def make(): + ledger = ngc.FlowLedger(graph(1000)) + p = ngc.FlowPolicy(ledger, 0, 1, ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.OPTIMIZED))) + result, trace = p._place_traced(300) + assert result.delivered == 300 + def snapshot(): + return full_ledger_state(ledger), p._state(), p.program + return trace.as_dict, (), snapshot +assert sweep_python_allocation(make) >= 10 +""") + + +@needs_hooks +def test_policy_shell_native_failures_leave_no_binding(): + from concurrency_support import run_python + + run_python(""" +from helpers import full_ledger_state +cfg = ngc.FlowPolicyConfig(routing=ngc.ShortestPaths()) +# Grow pybind11's process-wide instance and patient registries before counting +# allocations owned by a constructor attempt. +warm_ledger = ngc.FlowLedger(graph()) +warm = ngc.FlowPolicy(warm_ledger, 0, 1, cfg) +del warm +faults = 0 +for k in range(600): + ledger = ngc.FlowLedger(graph()) + before = full_ledger_state(ledger) + # Python's generic tp_new is outside the binding's allocation guarantee. + # Sweep the new initialization path on an already created Python shell. + shell = ngc.FlowPolicy.__new__(ngc.FlowPolicy) + initialize = shell.__init__ + gc.collect() + print('constructor native allocation', k, flush=True) + hit, _, value, error, live = ext._fail_native_allocation(initialize, (ledger, 0, 1, cfg), k) + if error is not None: + assert hit + faults += 1 + assert value is None and type(error) is MemoryError, (k, repr(error)) + assert live == 0, (k, live) + assert full_ledger_state(ledger) == before + with pytest.raises(TypeError, match='not constructed'): + shell.delivered() + retry = ngc.FlowPolicy(ledger, 0, 1, cfg) + assert retry.place(3).delivered == 3 + del retry + else: + assert error is None and value is None + assert shell.place(3).delivered == 3 + if not hit: + assert faults >= 1 + break +else: + raise AssertionError('no completing constructor in 600 allocation points') +""") diff --git a/tests/py/test_native_allocation.py b/tests/py/test_native_allocation.py index 68e928d..5f51f0a 100644 --- a/tests/py/test_native_allocation.py +++ b/tests/py/test_native_allocation.py @@ -291,7 +291,40 @@ def spf_opts(direction=ngc.Direction.FORWARD, multipath=True, **kw): return ngc.SpfOptions(direction, multipath=multipath, **kw) +def tunnel_pairs(g, model): + from helpers import dag_of + + routing = ( + ngc.DistributedTE(ngc.TunnelCount(2)) + if model == "t1" + else ngc.CentralizedTE( + source_allocation=ngc.SourceAllocation.EQUAL, + tunnel_count=ngc.TunnelCount(2), + support=dag_of(g, range(g.num_edges())) if model == "t2_support" else None, + ) + ) + common = g.eligibility(excluded_edges=[0]) + extra = g.eligibility(excluded_edges=[g.num_edges() - 1]) + options = ngc.EvaluationOptions( + ngc.FlowPolicyConfig(routing=routing), + eligibility=common, + outputs=ALL_OUT, + design_demand=8, + offer=6, + ) + return ngc.evaluate_pairs, ( + g, + [([0, 1], 4), (1, 3), (0, 4)], + options, + [extra] * 3, + 1, + ) + + SCENARIOS = { + "evaluate_pairs.t1": stateless(lambda g: tunnel_pairs(g, "t1")), + "evaluate_pairs.t2": stateless(lambda g: tunnel_pairs(g, "t2")), + "evaluate_pairs.t2_support": stateless(lambda g: tunnel_pairs(g, "t2_support")), "spf.full": stateless(lambda g: (ngc.spf, (g, 0, spf_opts()))), "spf.targets_residual": stateless( lambda g: ( diff --git a/tests/py/test_programs.py b/tests/py/test_programs.py index d592289..bc66043 100644 --- a/tests/py/test_programs.py +++ b/tests/py/test_programs.py @@ -1844,7 +1844,8 @@ def test_forward_texts_and_order(): g = par2(10, 10) p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cost_only(admission=LOSSY)) with pytest.raises( - ValueError, match=exact("forward requires an installed program") + ValueError, + match=exact("offer must be an integer in [0, 2^62) or permitted +inf"), ): p.forward(-1) p.place(1) diff --git a/tests/py/test_public_surface.py b/tests/py/test_public_surface.py index 6004170..d9887ff 100644 --- a/tests/py/test_public_surface.py +++ b/tests/py/test_public_surface.py @@ -80,6 +80,10 @@ # The private hooks (NETGRAPH_CORE_PRIVATE_HOOKS: the development build only): module functions # and class members. HOOK_FUNCTIONS = { + "_ConcurrencyProbe", + "_at_native_exit", + "_PlacementTrace", + "_concurrency_model", "_fail_python_allocation", "_fail_native_allocation", "_with_forwarding_limits", @@ -89,7 +93,7 @@ } HOOK_MEMBERS = { "FlowLedger": {"_state"}, - "FlowPolicy": {"_place_traced", "_state", "_owner"}, + "FlowPolicy": {"_place_traced", "_state", "_owner", "_seed_requested"}, } diff --git a/tests/py/test_shortest_path_cache.py b/tests/py/test_shortest_path_cache.py index 8b3a6e8..4ae0eb7 100644 --- a/tests/py/test_shortest_path_cache.py +++ b/tests/py/test_shortest_path_cache.py @@ -12,6 +12,7 @@ import _netgraph_core as ext import pytest +from concurrency_support import run_test_in_subprocess from helpers import ALL_OUT, COSTONLY, GLOBAL, build, exact, stats_of from private_hooks import needs_hooks @@ -58,8 +59,12 @@ def test_transition_table(): ): ngc.evaluate_demand(g, 0, 4, opts) assert stats(cache) == (1, 2, 1) # one miss, nothing inserted - with pytest.raises(ValueError, match="rejected while the cache is frozen"): + with pytest.raises(ValueError) as error: cache.clear() + assert ( + str(error.value) + == "ShortestPathCache.clear is rejected while the cache is frozen (thaw() it, then clear())" + ) assert stats(cache) == (1, 2, 1) cache.thaw() cache.thaw() # no effect @@ -167,6 +172,10 @@ def test_edge_failures_propagates_the_miss_and_global_rejects_a_cache(): def test_frozen_lookups_from_python_threads(): + run_test_in_subprocess(__file__, "_frozen_lookups_from_python_threads") + + +def _frozen_lookups_from_python_threads(): g = fabric() cache = prepopulate(g, [[d] for d in range(6)]) want = { @@ -228,6 +237,10 @@ def test_a_failed_call_changes_no_statistic_but_its_miss(): def test_concurrent_calls_keep_every_successful_hit(): + run_test_in_subprocess(__file__, "_concurrent_calls_keep_every_successful_hit") + + +def _concurrent_calls_keep_every_successful_hit(): # Python threads (the evaluators release the GIL) on one frozen cache, each alternating a # successful capacity (one hit) and a failing batch (its hit dropped, one miss). g = fabric() @@ -303,10 +316,12 @@ def test_frozen_statistics_survive_python_allocation_failures(): outputs=ALL_OUT, ) pairs = [(0, 3), (1, 4), ([0, 1], [3, 4])] - # A call that completes allocates its result objects (one per result); a call that ends in - # the miss allocates nothing before it, so its sweep reaches the miss's translation only. + # Each result shell exists before the lease, including calls that end in a + # miss. Failing a shell leaves statistics unchanged; failing translation + # after the native miss keeps exactly that one miss. List shell allocation + # may reuse CPython's free list; each result instance is still a new object. assert sweep_frozen(cache, ngc.evaluate_demand, (g, 0, 3, opts), hits=1) >= 1 - assert sweep_frozen(cache, ngc.evaluate_demand, (g, 0, 5, opts), miss=True) == 0 + assert sweep_frozen(cache, ngc.evaluate_demand, (g, 0, 5, opts), miss=True) >= 1 for workers in (1, 2): assert ( sweep_frozen( @@ -321,12 +336,12 @@ def test_frozen_statistics_survive_python_allocation_failures(): (g, [(0, 3), (1, 5)], opts, None, workers), miss=True, ) - == 0 + >= 2 ) sens = ngc.EvaluationOptions(COSTONLY, cache=cache) assert ( sweep_frozen(cache, ngc.evaluate_edge_failures, (g, 0, 3, sens, 1), miss=True) - == 0 + >= 1 ) # ShortestPaths' evaluate_edge_failures from a source that reaches no destination: one hit (the baseline's) # and no placed deletion. @@ -387,7 +402,7 @@ def runtime_error(*args): # The miss call until its allocations are used up (its translation fails last), then a # longer call of hits that fails inside. turn = ext._fail_python_allocation(ngc.evaluate_demand, miss, 10**6)[1] - longer = (g, [(0, 3), (1, 3), (2, 3), (4, 3)], opts, None, 1) + longer = (g, [(0, 3), (1, 3), (2, 3), (4, 3)] * 2, opts, None, 1) assert ext._fail_python_allocation(ngc.evaluate_pairs, longer, 10**6)[1] > turn + 1 attempts = itertools.count() diff --git a/tests/py/test_units.py b/tests/py/test_units.py index 02d919a..f104ff2 100644 --- a/tests/py/test_units.py +++ b/tests/py/test_units.py @@ -24,6 +24,27 @@ def test_half_up_boundaries(q): assert ngc.to_units(-0.0, q) == 0 assert ngc.as_float(12345, q) == 12345 * q assert type(ngc.to_units(2.5 * q, q)) is int + # The detached array kernel reuses the resolution checked before entry. + # These hand-derived values distinguish half-up from floor and ties-to-even. + values = [ + 2.5 * q, + 0.5 * q, + 0.49 * q, + 7.5 * q, + math.nextafter(7.5 * q, 0), + 0.0, + -0.0, + ] + assert ngc.to_units(values, q).tolist() == [3, 1, 0, 8, 7, 0, 0] + assert ngc.as_float( + [0, 1, (1 << 53) + 1, (1 << 53) + 3, -((1 << 53) + 3)], q + ).tolist() == [ + 0.0, + q, + (1 << 53) * q, + ((1 << 53) + 4) * q, + -((1 << 53) + 4) * q, + ] def test_arrays(): diff --git a/tests/typing/invalid_client.py b/tests/typing/invalid_client.py index 1233402..8cc3db9 100644 --- a/tests/typing/invalid_client.py +++ b/tests/typing/invalid_client.py @@ -88,3 +88,7 @@ ng.apply_actions(lister, [listed_policy]) # expect: reportArgumentType ng.apply_actions(lister, [], ng.BatchMode.ORDERED) # expect: reportCallIssue ng.Replace(listed_policy, "1") # expect: reportArgumentType + + +class PolicySubclass(ng.FlowPolicy): # expect: reportGeneralTypeIssues + pass From b21c14b9af7bea8d51e429c3d687da80014a4f44 Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Wed, 21 Oct 2026 04:22:06 +0100 Subject: [PATCH 24/39] Units: the exact conversion rule in texts, types and tests to_units rounds the binary64 value it is given half up, never its printed decimal. The documents and docstrings now state that rule exactly (the ties, the 2^52 and 2^53 steps, the round trip, the error of one value and of a sum), the conversion types follow contract r9, and native and Python tests pin every example. Results do not change. as_float reads an int or a NumPy integer, a subclass included, as one number before it tries the argument as a sequence, as to_units already did. Co-Authored-By: Claude Opus 5.5 --- bindings/python/units.cpp | 53 ++- dev/stubs/overrides.pyi | 26 +- docs/semantics.md | 65 +++- python/netgraph_core/__init__.pyi | 71 ++-- tests/cpp/contract_examples_tests.cpp | 173 +++++++++ tests/py/test_units.py | 483 ++++++++++++++++++++++++++ tests/typing/invalid_client.py | 16 + tests/typing/valid_client.py | 63 +++- 8 files changed, 900 insertions(+), 50 deletions(-) diff --git a/bindings/python/units.cpp b/bindings/python/units.cpp index 0bf6e00..e3e8bbc 100644 --- a/bindings/python/units.cpp +++ b/bindings/python/units.cpp @@ -270,19 +270,37 @@ void register_units(py::module_& m) { return int64_array(result); }, py::arg("x"), py::arg("resolution"), - "Physical value(s) to units of the resolution q, rounding half up: an int for a scalar, an\n" - "int64 array for an array. NaN, infinity, negative values, an integer too large for NumPy and\n" - "results at or above 2^62 units raise ValueError; a bool (also as an entry), a string or an array\n" - "of another dtype or rank, or any type but int, float and the NumPy numbers (a Decimal, a\n" - "Fraction, an object known by __float__, __index__ or __array__) TypeError; an int or float\n" - "subclass is read by its value. q must be a power of two in [2^-32, 2^32]: a float, a NumPy\n" - "float or an integer (any other type is a TypeError; an integer beyond the float range a\n" - "ValueError)."); + "Physical value(s) to units of resolution q. Each input becomes binary64 b: float32 widens\n" + "exactly; integers become the nearest double, ties to even. Return floor(b/q + 1/2),\n" + "evaluated exactly, never by floating addition of 1/2 or by reading the printed decimal.\n" + "Ties are b=(2n+1)*q/2, 0 <= n < 2^52; each gives n+1, never the even neighbour. Scaling\n" + "by q=2^k is exact while normal; underflow only affects values rounding to zero. Below\n" + "2^52 scaled units the fractional comparison is exact; above it doubles are integral.\n" + "A scalar or 0-d array gives an int; a sequence or 1-d array gives an int64 array. Negative\n" + "zero gives 0. NaN, infinity, negative values, an integer too large for NumPy and results\n" + "at or above 2^62 units raise ValueError. A bool, string, wrong dtype/rank or type other\n" + "than int, float or NumPy numbers raises TypeError; int/float subclasses use stored values.\n" + "q must be a power of two in [2^-32, 2^32]: a float, NumPy float or integer (another type\n" + "raises TypeError, an integer beyond the float range ValueError).\n" + "Every result u is exactly representable, so as_float(u,q) adds no error: against b,\n" + "-q/2 < as_float(u,q)-b <= q/2, with +q/2 exactly at ties. Against an original argument a\n" + "changed by promotion, add b-a (2^53+1 at q=1 loses 1 before quantization). N separately\n" + "rounded values have total error in (-N*q/2,N*q/2]; no sign is promised. With symmetric\n" + "non-tie fractional parts, mean error is (q/2)*P(tie); continuous uniform parts have none.\n" + "Round a demand once, then split whole units. 2^53 is no decimal precision threshold: a\n" + "decimal is exact only if its reduced denominator is a power of two and it fits binary64.\n" + "A decimal and its parsed double agree only in the same half-up cell; 5501195.1796 at\n" + "q=2^-21 gives 11536842473289, whereas its decimal reading would give 11536842473288.\n" + "CostStretch deliberately reads printed decimals for ratios; physical amounts use b."); m.def( "as_float", [](const py::object& x, StrictFloat resolution) -> py::object { const int k = resolution_exponent(resolution); // the resolution before the shape + if (!is_bool(x) && + (PyLong_Check(x.ptr()) != 0 || has_type(x.ptr(), numpy_number_types().first))) { + return py::float_(amount_as_float(x, k, resolution)); + } // A sequence, a NumPy array of any rank included: wide_integers refuses a rank other than 1. if (!is_invalid_sequence(x)) { const auto v = wide_integers(x, "as_float: x"); @@ -304,11 +322,20 @@ void register_units(py::module_& m) { return py::float_(amount_as_float(x, k, resolution)); }, py::arg("x"), py::arg("resolution"), - "Units to physical value(s): x * q, correctly rounded (exact below 2^53 units). An int, of\n" - "any size, gives a float, an integer array a float64 array; a result beyond the finite\n" - "doubles raises ValueError. x is an integer position (any object with __index__, never a bool;\n" - "anything else is a TypeError); q must be a power of two in [2^-32, 2^32] (a float, a NumPy float\n" - "or an integer)."); + "Units to physical value(s): the exact product x*q correctly rounded to binary64, nearest\n" + "with ties to even. x is any signed, unbounded integer: an int or NumPy integer gives a\n" + "float, an integer vector a float64 array. An int or NumPy integer, a subclass included,\n" + "is never read as a sequence. An integer position accepts __index__, never\n" + "a bool; other types raise TypeError. q is a power of two in [2^-32, 2^32] (float, NumPy\n" + "float or integer). The result is finite iff abs(x*q) < 2^1024 - 2^970; otherwise raise\n" + "ValueError('as_float: units times the resolution exceed the largest finite double').\n" + "Exact for abs(x) <= 2^53 inclusive. Above 2^53 an integer of binary length L is exact\n" + "iff divisible by 2^(L-53); 2^53+1 rounds to 2^53, 2^53+3 to 2^53+4, times q.\n" + "to_units(as_float(x,q),q)==x holds for x in [0,2^53] at every q, and for larger x in\n" + "[0,2^62) exactly when x is a double. The first failure is 2^53+1; 2^62-1 rounds to\n" + "2^62*q and reconversion raises the to_units domain ValueError. A successful to_units\n" + "result is always exact here; its error against the promoted binary64 input is in\n" + "(-q/2,q/2]. Choose q before Graph construction, then use Graph.resolution()."); } } // namespace netgraph::core::bindings diff --git a/dev/stubs/overrides.pyi b/dev/stubs/overrides.pyi index 59ec461..7681136 100644 --- a/dev/stubs/overrides.pyi +++ b/dev/stubs/overrides.pyi @@ -757,18 +757,22 @@ class SpfResult: @property def target_cost(self) -> int | None: ... -# reason: one integer gives a float, integers give a float64 array (the array overload first: a NumPy array also has __index__) +# reason: vectors give float64 arrays; int and NumPy integer scalars give float; another index protocol may also be a sequence # generated: def as_float(x: typing.Any, resolution: typing.SupportsFloat | typing.SupportsIndex) -> typing.Any: @typing.overload def as_float( x: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer], - resolution: typing.SupportsFloat | typing.SupportsIndex, + resolution: int | float | numpy.integer | numpy.floating, ) -> numpy.typing.NDArray[numpy.float64]: ... @typing.overload def as_float( - x: typing.SupportsIndex, resolution: typing.SupportsFloat | typing.SupportsIndex + x: int | numpy.integer, resolution: int | float | numpy.integer | numpy.floating ) -> float: ... +@typing.overload +def as_float( + x: typing.SupportsIndex, resolution: int | float | numpy.integer | numpy.floating +) -> float | numpy.typing.NDArray[numpy.float64]: ... # reason: pairs of node sets, each pair a length-2 sequence (sources, destinations), an integer array included (so pairs may be an integer array of shape (k, 2), or (k, 2, m) for sets of m nodes); options is EvaluationOptions; per_pair_eligibility has one Eligibility or None per pair; workers is an integer or None; one PlacementResult per pair # generated: def evaluate_pairs(graph: Graph, pairs: typing.Any, options: typing.Any, per_pair_eligibility: typing.Any = None, workers: typing.Any = None) -> list: @@ -855,16 +859,20 @@ def spf( options: SpfOptions, ) -> SpfResult: ... -# reason: a scalar number gives an int, a sequence or a 1-D array of numbers an int64 array (a 0-d array gives an int, which the array overload cannot say) +# reason: scalars give int, Python sequences int64 arrays; unknown-rank arrays may be 0-d (int) or 1-d (array) # generated: def to_units(x: typing.Any, resolution: typing.SupportsFloat | typing.SupportsIndex) -> typing.Any: @typing.overload def to_units( - x: float | numpy.floating | numpy.integer, - resolution: typing.SupportsFloat | typing.SupportsIndex, + x: int | float | numpy.floating | numpy.integer, + resolution: int | float | numpy.integer | numpy.floating, ) -> int: ... @typing.overload def to_units( - x: collections.abc.Sequence[float | numpy.floating | numpy.integer] - | numpy.typing.NDArray[numpy.floating | numpy.integer], - resolution: typing.SupportsFloat | typing.SupportsIndex, + x: collections.abc.Sequence[int | float | numpy.floating | numpy.integer], + resolution: int | float | numpy.integer | numpy.floating, ) -> numpy.typing.NDArray[numpy.int64]: ... +@typing.overload +def to_units( + x: numpy.typing.NDArray[numpy.floating | numpy.integer], + resolution: int | float | numpy.integer | numpy.floating, +) -> int | numpy.typing.NDArray[numpy.int64]: ... diff --git a/docs/semantics.md b/docs/semantics.md index bbafe29..b969c7b 100644 --- a/docs/semantics.md +++ b/docs/semantics.md @@ -162,12 +162,65 @@ separate kind of number: positive integers that are never converted. sentinel `UNREACHABLE` (the largest `int64`). An offer is an integer in `[0, 2^62)` units or positive infinity (`float('inf')`, "as much as possible"). Everything outside the domain is a `ValueError` raised before anything changes. -- **`to_units(x, q)`** converts physical values to units, rounding half up: a scalar gives an - `int`, an array an `int64` array. NaN, infinity, negative values and results at or above - `2^62` units raise `ValueError`. It is the only way physical numbers enter the library. -- **`as_float(x, q)`** converts units to physical values (`x * q`, correctly rounded, exact - below `2^53` units): an `int` gives a `float`, an integer array a `float64` array. A result - beyond the finite doubles raises `ValueError`. Costs are never converted. +- **`to_units(x, q)`** reads each physical input as its binary64 value `b`: Python floats and + NumPy float64 keep their exact value, float32 widens exactly, and integers become the nearest + double, ties to even (`2^53 + 1` becomes `2^53`, `2^53 + 3` becomes `2^53 + 4`). It returns + `floor(b/q + 1/2)`, evaluated exactly on rational numbers, not by floating addition of `1/2`. + A scalar or 0-d NumPy array gives an `int`; a Python sequence or 1-d NumPy array gives an + `int64` array. Negative zero gives 0. NaN, infinity, negative values and results at or above + `2^62` units raise `ValueError`. This is the only entry for physical numbers. +- **Binary values and precision.** A float is never read through its printed decimal; conversion + cannot recover a source literal. `2^53` is the limit of consecutive integers among doubles, + not a size below which decimal fractions are exact. A decimal is exactly a double only if + its reduced denominator is a power of two and it fits binary64; even `0.1` is rounded on + parsing. A decimal and its parsed double give the same units exactly when both lie in the + same cell `[(n - 1/2)*q, (n + 1/2)*q)`. No magnitude or unit count guarantees this: a parse + error can cross or land on a boundary at an ordinary size. At `q = 2^-21`, `5501195.1796` + denotes the exact binary tie `11536842473288.5` units, giving `11536842473289`; the typed + decimal would be `11536842473288.4992` units. At `q = 2^-18`, the computed `400 + 2^-19` + is the tie `104857600.5` and gives `104857601`, although its printed decimal + `400.00000190734863` is just below the tie. `np.float32(0.1)` is exactly + `13421773/134217728`, giving `429496736` units at `q = 2^-32`; decimal `0.1` would give + `429496730`. `CostStretch` deliberately uses the printed decimal instead: a stretch is a + ratio a person writes (`1.2` means `6/5`), compared exactly with ratios of integer costs. + A physical amount is the measured or computed double the caller holds. +- **Ties and exact scaling.** The ties are exactly the accepted `b = (2*n + 1)*q/2` for integers + `0 <= n < 2^52`; every tie gives `n + 1`, never the even neighbour. At `q = 1`, `0.5` + gives 1, `2.5` gives 3, `3.5` gives 4, and the last tie `2^52 - 1/2` gives `2^52`. + For `q = 2^k`, scaling `y = b*2^-k` is exact while normal; only below the normal range + (`y < 2^-1022`) may it lose bits, where the answer is 0 either way. Overflow is refused by + the `2^62` bound. Below `2^52`, `y - floor(y)` is exact and compared with `1/2`; at and + above `2^52` every double is integral, so `y` is the result. These double operations thus + introduce no error beyond the specified quantization. +- **`as_float(u, q)`** returns the correctly rounded binary64 value of the exact product `u*q` + (nearest, ties to even). Here `u` may be any signed, unbounded integer, unlike graph and + flow amounts. An integer scalar gives a `float`, an integer vector a `float64` array. + An int or NumPy integer, a subclass included, is never read as a sequence. + The result is finite exactly when `abs(u*q) < 2^1024 - 2^970`; otherwise it raises + `ValueError('as_float: units times the resolution exceed the largest finite double')`. + Every `abs(u) <= 2^53`, including the endpoint, converts exactly. Beyond `2^53`, an integer + of binary length `L` converts exactly iff it is divisible by `2^(L - 53)`; `2^53 + 1` + gives `2^53*q`, and `2^53 + 3` gives `(2^53 + 4)*q`. Costs are never converted. +- **Round trip.** `to_units(as_float(u, q), q) == u` for every `u` in `[0, 2^53]` at every + resolution, and for larger `u` in `[0, 2^62)` exactly when `u` is a double. Otherwise the + result is the units of the rounded value. The first failure, `2^53 + 1`, comes back as + `2^53`; `2^62 - 1` becomes `2^62*q`, which `to_units` refuses. +- **Error and sums.** Every successful `to_units` result `u` is itself a double, so `as_float` + adds no error: `e = as_float(to_units(b, q), q) - b` satisfies `-q/2 < e <= q/2`, with + equality at the upper end exactly at ties. This bound concerns `b`. Against an argument + `a` changed by promotion (a large integer or a wider NumPy float where available), the + error is `e + (b - a)`: `2^53 + 1` at `q = 1` has error 0 against `b`, but -1 against + the original integer. There is no exact-integer path for physical inputs. + Rounding `N` values separately gives total error in `(-N*q/2, N*q/2]`. Ties contribute + `+q/2` each; other errors go either way, so a sum has no promised sign. At `q = 1`, + `[0.5, 0.5]` gives `[1, 1]` (2 units for a total of 1), while `[0.25, 0.25]` gives + `[0, 0]` (0 units for a total of 0.5). When non-tie fractional parts are symmetric about + `1/2`, their mean error cancels and mean error per value is `(q/2)*P(tie)`; a continuous + uniform fractional part has none. The Core assumes no distribution. Round a demand once, + then split whole units to preserve its total; rounding `1.0` once gives 1 unit. + Choose one `q` before graph construction and use the constructed graph's `resolution()` afterwards. Choosing + `q` and reporting rounding belong to the caller (NetGraph's units report); Core converts + and validates, without a selector or rounding report. - **Routability.** An edge with less than 1 unit of capacity carries nothing, but it stays in routing: searches, routes and rosters treat it like any other edge, and only a supplied residual (below the search's threshold) or an Eligibility removes an edge from a search. An diff --git a/python/netgraph_core/__init__.pyi b/python/netgraph_core/__init__.pyi index 8ef0e97..6ef4d37 100644 --- a/python/netgraph_core/__init__.pyi +++ b/python/netgraph_core/__init__.pyi @@ -2641,20 +2641,33 @@ def apply_actions( def as_float( x: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer], - resolution: typing.SupportsFloat | typing.SupportsIndex, + resolution: int | float | numpy.integer | numpy.floating, ) -> numpy.typing.NDArray[numpy.float64]: """ - Units to physical value(s): x * q, correctly rounded (exact below 2^53 units). An int, of - any size, gives a float, an integer array a float64 array; a result beyond the finite - doubles raises ValueError. x is an integer position (any object with __index__, never a bool; - anything else is a TypeError); q must be a power of two in [2^-32, 2^32] (a float, a NumPy float - or an integer). + Units to physical value(s): the exact product x*q correctly rounded to binary64, nearest + with ties to even. x is any signed, unbounded integer: an int or NumPy integer gives a + float, an integer vector a float64 array. An int or NumPy integer, a subclass included, + is never read as a sequence. An integer position accepts __index__, never + a bool; other types raise TypeError. q is a power of two in [2^-32, 2^32] (float, NumPy + float or integer). The result is finite iff abs(x*q) < 2^1024 - 2^970; otherwise raise + ValueError('as_float: units times the resolution exceed the largest finite double'). + Exact for abs(x) <= 2^53 inclusive. Above 2^53 an integer of binary length L is exact + iff divisible by 2^(L-53); 2^53+1 rounds to 2^53, 2^53+3 to 2^53+4, times q. + to_units(as_float(x,q),q)==x holds for x in [0,2^53] at every q, and for larger x in + [0,2^62) exactly when x is a double. The first failure is 2^53+1; 2^62-1 rounds to + 2^62*q and reconversion raises the to_units domain ValueError. A successful to_units + result is always exact here; its error against the promoted binary64 input is in + (-q/2,q/2]. Choose q before Graph construction, then use Graph.resolution(). """ @typing.overload def as_float( - x: typing.SupportsIndex, resolution: typing.SupportsFloat | typing.SupportsIndex + x: int | numpy.integer, resolution: int | float | numpy.integer | numpy.floating ) -> float: ... +@typing.overload +def as_float( + x: typing.SupportsIndex, resolution: int | float | numpy.integer | numpy.floating +) -> float | numpy.typing.NDArray[numpy.float64]: ... def evaluate_demand( graph: Graph, sources: typing.SupportsIndex @@ -2804,25 +2817,43 @@ def spf( @typing.overload def to_units( - x: float | numpy.floating | numpy.integer, - resolution: typing.SupportsFloat | typing.SupportsIndex, + x: int | float | numpy.floating | numpy.integer, + resolution: int | float | numpy.integer | numpy.floating, ) -> int: """ - Physical value(s) to units of the resolution q, rounding half up: an int for a scalar, an - int64 array for an array. NaN, infinity, negative values, an integer too large for NumPy and - results at or above 2^62 units raise ValueError; a bool (also as an entry), a string or an array - of another dtype or rank, or any type but int, float and the NumPy numbers (a Decimal, a - Fraction, an object known by __float__, __index__ or __array__) TypeError; an int or float - subclass is read by its value. q must be a power of two in [2^-32, 2^32]: a float, a NumPy - float or an integer (any other type is a TypeError; an integer beyond the float range a - ValueError). + Physical value(s) to units of resolution q. Each input becomes binary64 b: float32 widens + exactly; integers become the nearest double, ties to even. Return floor(b/q + 1/2), + evaluated exactly, never by floating addition of 1/2 or by reading the printed decimal. + Ties are b=(2n+1)*q/2, 0 <= n < 2^52; each gives n+1, never the even neighbour. Scaling + by q=2^k is exact while normal; underflow only affects values rounding to zero. Below + 2^52 scaled units the fractional comparison is exact; above it doubles are integral. + A scalar or 0-d array gives an int; a sequence or 1-d array gives an int64 array. Negative + zero gives 0. NaN, infinity, negative values, an integer too large for NumPy and results + at or above 2^62 units raise ValueError. A bool, string, wrong dtype/rank or type other + than int, float or NumPy numbers raises TypeError; int/float subclasses use stored values. + q must be a power of two in [2^-32, 2^32]: a float, NumPy float or integer (another type + raises TypeError, an integer beyond the float range ValueError). + Every result u is exactly representable, so as_float(u,q) adds no error: against b, + -q/2 < as_float(u,q)-b <= q/2, with +q/2 exactly at ties. Against an original argument a + changed by promotion, add b-a (2^53+1 at q=1 loses 1 before quantization). N separately + rounded values have total error in (-N*q/2,N*q/2]; no sign is promised. With symmetric + non-tie fractional parts, mean error is (q/2)*P(tie); continuous uniform parts have none. + Round a demand once, then split whole units. 2^53 is no decimal precision threshold: a + decimal is exact only if its reduced denominator is a power of two and it fits binary64. + A decimal and its parsed double agree only in the same half-up cell; 5501195.1796 at + q=2^-21 gives 11536842473289, whereas its decimal reading would give 11536842473288. + CostStretch deliberately reads printed decimals for ratios; physical amounts use b. """ @typing.overload def to_units( - x: collections.abc.Sequence[float | numpy.floating | numpy.integer] - | numpy.typing.NDArray[numpy.floating | numpy.integer], - resolution: typing.SupportsFloat | typing.SupportsIndex, + x: collections.abc.Sequence[int | float | numpy.floating | numpy.integer], + resolution: int | float | numpy.integer | numpy.floating, ) -> numpy.typing.NDArray[numpy.int64]: ... +@typing.overload +def to_units( + x: numpy.typing.NDArray[numpy.floating | numpy.integer], + resolution: int | float | numpy.integer | numpy.floating, +) -> int | numpy.typing.NDArray[numpy.int64]: ... UNREACHABLE: int = 9223372036854775807 diff --git a/tests/cpp/contract_examples_tests.cpp b/tests/cpp/contract_examples_tests.cpp index 69e7641..59f4dd1 100644 --- a/tests/cpp/contract_examples_tests.cpp +++ b/tests/cpp/contract_examples_tests.cpp @@ -9,6 +9,11 @@ #include #include +#include +#include +#include +#include +#include #include #include #include @@ -3473,3 +3478,171 @@ TEST(ContractExamples, CALL_state_second) { "evaluate_pairs does not accept Pinned", "offer must be an integer in [0, 2^62)", "foreign ShortestPathCache: bound to another graph", mode, "offer must be an integer in [0, 2^62)", mode})); } + +namespace { + +// Independently decode b = significand * 2^exponent, then divide integers with a half-up +// remainder test. No production kernel, floating scaling, floor or floating +1/2 is used. +Amount binary_units_reference(double b, int k) { + const auto bits = std::bit_cast(b); + const auto biased = static_cast((bits >> 52) & 0x7ffU); + const auto significand = (bits & ((std::uint64_t {1} << 52) - 1)) | + (biased == 0 ? 0 : (std::uint64_t {1} << 52)); + const int exponent = (biased == 0 ? -1074 : biased - 1023 - 52) - k; + if (exponent >= 0) return static_cast(significand << exponent); + const int down = -exponent; + if (down >= 64) return 0; + const auto remainder = significand & ((std::uint64_t {1} << down) - 1); + return static_cast((significand >> down) + (remainder >= (std::uint64_t {1} << (down - 1)))); +} + +void unit_error(double b, double q, Amount expected, double error_in_units) { + const auto u = to_units(b, q); + EXPECT_EQ(u, expected); + const auto product = as_float(u, q); + EXPECT_EQ(product, static_cast(u) * q); + EXPECT_EQ((product - b) / q, error_in_units); + EXPECT_GT((product - b) / q, -0.5); + EXPECT_LE((product - b) / q, 0.5); +} + +} // namespace + +TEST(ContractExamples, UNITS_literal_tie) { + const double q = 0x1p-21; + unit_error(5501195.1796, q, 11536842473289LL, 0.5); + EXPECT_EQ(to_units(std::nextafter(5501195.1796, 0.0), q), 11536842473288LL); +} + +TEST(ContractExamples, UNITS_computed_tie) { + const double q = 0x1p-18; + unit_error(400.0 + 0x1p-19, q, 104857601, 0.5); + EXPECT_EQ(to_units(400.0, q), 104857600); +} + +TEST(ContractExamples, UNITS_float32) { + const double q = 0x1p-32; + // float32(0.1) = 13421773/134217728, not the decimal its short printing suggests. + const double b = static_cast(0.1F); + EXPECT_EQ(b, 13421773.0 / 134217728.0); + unit_error(b, q, 429496736, 0.0); + EXPECT_EQ(to_units(0.1, q), 429496730); +} + +TEST(ContractExamples, UNITS_ties) { + EXPECT_EQ(to_units(0x1p-33, 0x1p-32), 1); + EXPECT_EQ(to_units(std::nextafter(0x1p-33, 0.0), 0x1p-32), 0); + EXPECT_EQ(to_units(0x1p31, 0x1p32), 1); + for (Amount n = 0; n != 4; ++n) EXPECT_EQ(to_units(static_cast(n) + 0.5, 1.0), n + 1); + EXPECT_EQ(to_units(0x1p52 - 0.5, 1.0), Amount {1} << 52); + EXPECT_EQ(to_units(0x1p52 + 1, 1.0), (Amount {1} << 52) + 1); + EXPECT_EQ(to_units(0x1p53 + 2, 1.0), (Amount {1} << 53) + 2); + EXPECT_EQ(to_units(-0.0, 1.0), 0); + EXPECT_EQ(to_units(std::numeric_limits::denorm_min(), 0x1p32), 0); +} + +TEST(ContractExamples, UNITS_round_trip) { + for (double q : {1.0, 0x1p-32, 0x1p32}) { + for (Amount u : {Amount {1} << 53, (Amount {1} << 53) + 2, (Amount {1} << 62) - 512}) { + EXPECT_EQ(to_units(as_float(u, q), q), u); + } + EXPECT_EQ(to_units(as_float((Amount {1} << 53) + 1, q), q), Amount {1} << 53); + EXPECT_EQ(as_float((Amount {1} << 53) + 1, q), 0x1p53 * q); + EXPECT_THROW((void)to_units(as_float((Amount {1} << 62) - 1, q), q), std::invalid_argument); + } + EXPECT_EQ(to_units(as_float(120401795907070192LL, 0x1p-27), 0x1p-27), 120401795907070192LL); +} + +TEST(ContractExamples, UNITS_promoted_integer) { + const Amount first = (Amount {1} << 53) + 1; + const Amount second = (Amount {1} << 53) + 3; + unit_error(static_cast(first), 1.0, first - 1, 0.0); + unit_error(static_cast(second), 1.0, second + 1, 0.0); + // Compare as integers to preserve the promotion error which a double subtraction would hide. + EXPECT_EQ(to_units(static_cast(first), 1.0) - first, -1); + EXPECT_EQ(to_units(static_cast(second), 1.0) - second, 1); +} + +TEST(ContractExamples, UNITS_as_float_range) { + EXPECT_EQ(as_float(-1, 0.5), -0.5); + EXPECT_EQ(as_float((Amount {1} << 53) + 3, 1.0), 9007199254740996.0); + // The native signature is int64, so the unbounded-integer finite-double boundary and + // 2^70+1 case belong to the Python API tests. Native int64 extrema are always finite. + for (int k = -32; k <= 32; ++k) { + const double q = std::ldexp(1.0, k); + EXPECT_EQ(as_float(std::numeric_limits::max(), q), std::ldexp(1.0, 63 + k)); + EXPECT_EQ(as_float(std::numeric_limits::min(), q), -std::ldexp(1.0, 63 + k)); + EXPECT_EQ(as_float(-(Amount {1} << 53), q), -0x1p53 * q); + EXPECT_EQ(as_float(-((Amount {1} << 53) + 3), q), -(0x1p53 + 4) * q); + } +} + +TEST(ContractExamples, UNITS_sums) { + EXPECT_EQ(to_units(0.5, 1.0), 1); + EXPECT_EQ(to_units(0.5, 1.0) + to_units(0.5, 1.0), 2); + EXPECT_EQ(to_units(0.5 + 0.5, 1.0), 1); + EXPECT_EQ(to_units(0.25, 1.0), 0); + EXPECT_EQ(to_units(0.25, 1.0) + to_units(0.25, 1.0), 0); + EXPECT_EQ(to_units(0.25 + 0.25, 1.0), 1); + EXPECT_EQ(as_float(2, 1.0) - (0.5 + 0.5), 1.0); + EXPECT_EQ(as_float(0, 1.0) - (0.25 + 0.25), -0.5); +} + +TEST(ContractExamples, UNITS_double_steps) { + // Two hand-derived differentiators for each oracle branch: below half/at half, odd/even + // ties, the last tie/first integral double, and exact/inexact integer promotion. + EXPECT_EQ(binary_units_reference(0.25, 0), 0); + EXPECT_EQ(binary_units_reference(0.5, 0), 1); + EXPECT_EQ(binary_units_reference(1.5, 0), 2); + EXPECT_EQ(binary_units_reference(2.5, 0), 3); + EXPECT_EQ(binary_units_reference(0x1p52 - 0.5, 0), Amount {1} << 52); + EXPECT_EQ(binary_units_reference(0x1p52 + 1, 0), (Amount {1} << 52) + 1); + EXPECT_EQ(binary_units_reference(0x1p53, 0), Amount {1} << 53); + EXPECT_EQ(binary_units_reference(0x1p53 + 2, 0), (Amount {1} << 53) + 2); + EXPECT_EQ(binary_units_reference(0x1p-1074, 32), 0); + EXPECT_EQ(binary_units_reference(0x1p-1074, -32), 0); + std::mt19937_64 rng(10); + int checked = 0; + int returned = 0; + for (int k = -32; k <= 32; ++k) { + const double q = std::ldexp(1.0, k); + const auto check = [&](double b) { + const auto expected = binary_units_reference(b, k); + const auto u = to_units(b, q); + EXPECT_EQ(u, expected) << "b=" << std::hexfloat << b << " k=" << k; + const auto value = as_float(u, q); + EXPECT_EQ(value, static_cast(u) * q); + EXPECT_GT((value - b) / q, -0.5); + EXPECT_LE((value - b) / q, 0.5); + ++checked; + }; + for (int i = 0; i < 68; ++i) { + const Amount n = i == 0 ? 0 : i == 1 ? 1 : i == 2 ? Amount {1} << 26 : + i == 3 ? (Amount {1} << 52) - 1 : static_cast(rng() % (std::uint64_t {1} << 52)); + const double tie = static_cast(2 * n + 1) * q / 2; + EXPECT_EQ(to_units(tie, q), n + 1); + check(tie); + check(std::nextafter(tie, 0.0)); + check(std::nextafter(tie, std::numeric_limits::infinity())); + } + for (double edge : {0x1p52, 0x1p53}) { + check(edge * q); + check(std::nextafter(edge * q, 0.0)); + } + check(std::numeric_limits::denorm_min()); + for (int i = 0; i < 64; ++i) { + // A 53-bit significand, with exponents covering tiny values through <2^62 scaled units. + const double mantissa = static_cast(rng() >> 11) * 0x1p-53; + const int exponent = static_cast(rng() % 103) - 40; + check(std::ldexp(mantissa, exponent) * q); + } + for (int i = 0; i < 68; ++i) { + const Amount u = i == 0 ? 0 : i == 1 ? 1 : i == 2 ? (Amount {1} << 53) - 1 : + i == 3 ? Amount {1} << 53 : static_cast(rng() % ((std::uint64_t {1} << 53) + 1)); + EXPECT_EQ(to_units(as_float(u, q), q), u); + ++returned; + } + } + EXPECT_EQ(checked, 17745); + EXPECT_EQ(returned, 4420); +} diff --git a/tests/py/test_units.py b/tests/py/test_units.py index f104ff2..6d8b669 100644 --- a/tests/py/test_units.py +++ b/tests/py/test_units.py @@ -3,6 +3,7 @@ from __future__ import annotations import math +import random from decimal import Decimal from fractions import Fraction @@ -388,3 +389,485 @@ def test_physical_inputs_still_taken(): ngc.to_units(1.0, _FloatFails(1.0)) with pytest.raises(TypeError, match="incompatible function arguments"): ngc.to_units(1.0, _IndexFails()) + + +# Exact binary values, the last half-unit tie, promotion, round trips and signed products. +# Expectations are fixed arithmetic witnesses, independent of the production converter. +UNITS_EXAMPLES = [ + pytest.param( + [ + {"op": "to_units", "x": 5501195.1796, "q": ["pow2", -21]}, + {"op": "error", "x": 5501195.1796, "q": ["pow2", -21]}, + { + "op": "to_units", + "x": math.nextafter(5501195.1796, 0.0), + "q": ["pow2", -21], + }, + ], + [ + 11536842473289, + dict( + units=11536842473289, + error="1/2", + inside=True, + error_against_argument="1/2", + ), + 11536842473288, + ], + id="UNITS-literal-tie", + ), + pytest.param( + [ + {"op": "to_units", "x": 400 + 2 ** (-19), "q": ["pow2", -18]}, + {"op": "error", "x": 400 + 2 ** (-19), "q": ["pow2", -18]}, + {"op": "to_units", "x": 400.0, "q": ["pow2", -18]}, + ], + [ + 104857601, + dict( + units=104857601, error="1/2", inside=True, error_against_argument="1/2" + ), + 104857600, + ], + id="UNITS-computed-tie", + ), + pytest.param( + [ + {"op": "to_units", "x": ["numpy", "float32", 0.1], "q": ["pow2", -32]}, + { + "op": "to_units", + "x": ["array", "float32", [0.1, 0.1]], + "q": ["pow2", -32], + }, + {"op": "error", "x": ["numpy", "float32", 0.1], "q": ["pow2", -32]}, + {"op": "to_units", "x": ["numpy", "float64", 0.1], "q": ["pow2", -32]}, + {"op": "to_units", "x": 0.1, "q": ["pow2", -32]}, + ], + [ + 429496736, + [429496736, 429496736], + dict(units=429496736, error="0", inside=True, error_against_argument="0"), + 429496730, + 429496730, + ], + id="UNITS-float32", + ), + pytest.param( + [ + {"op": "to_units", "x": 2 ** (-33), "q": ["pow2", -32]}, + { + "op": "to_units", + "x": math.nextafter(2 ** (-33), 0.0), + "q": ["pow2", -32], + }, + {"op": "to_units", "x": 2.0**31, "q": ["pow2", 32]}, + {"op": "to_units", "x": 0.5, "q": 1.0}, + {"op": "to_units", "x": 1.5, "q": 1.0}, + {"op": "to_units", "x": 2.5, "q": 1.0}, + {"op": "to_units", "x": 3.5, "q": 1.0}, + {"op": "to_units", "x": 2.0**52 - 0.5, "q": 1.0}, + {"op": "to_units", "x": 2.0**52 + 1, "q": 1.0}, + {"op": "to_units", "x": 2.0**53 + 2, "q": 1.0}, + {"op": "to_units", "x": -0.0, "q": 1.0}, + {"op": "to_units", "x": 5e-324, "q": ["pow2", 32]}, + ], + [1, 0, 1, 1, 2, 3, 4, 2**52, 2**52 + 1, 2**53 + 2, 0, 0], + id="UNITS-ties", + ), + pytest.param( + [ + {"op": "round_trip", "u": 2**53, "q": 1.0}, + {"op": "round_trip", "u": 2**53, "q": ["pow2", -32]}, + {"op": "round_trip", "u": 2**53, "q": ["pow2", 32]}, + {"op": "round_trip", "u": 2**53 + 1, "q": 1.0}, + {"op": "as_float", "u": 2**53 + 1, "q": 1.0}, + {"op": "round_trip", "u": 2**53 + 2, "q": 1.0}, + {"op": "round_trip", "u": 2**62 - 2**9, "q": ["pow2", -32]}, + {"op": "round_trip", "u": 2**62 - 1, "q": 1.0}, + {"op": "round_trip", "u": 120401795907070192, "q": ["pow2", -27]}, + ], + [ + 2**53, + 2**53, + 2**53, + 2**53, + 9007199254740992.0, + 2**53 + 2, + 2**62 - 2**9, + "ValueError: to_units: the amount is at or above the bound of the units domain (2^62 units)", + 120401795907070192, + ], + id="UNITS-round-trip", + ), + pytest.param( + [ + {"op": "error", "x": 2**53 + 1, "q": 1.0}, + {"op": "error", "x": 2**53 + 3, "q": 1.0}, + {"op": "to_units", "x": ["list", 2**53 + 1, 2**53 + 3], "q": 1.0}, + ], + [ + dict(units=2**53, error="0", inside=True, error_against_argument="-1"), + dict(units=2**53 + 4, error="0", inside=True, error_against_argument="1"), + [2**53, 2**53 + 4], + ], + id="UNITS-promoted-integer", + ), + pytest.param( + [ + {"op": "as_float", "u": -1, "q": 0.5}, + {"op": "as_float", "u": 2**53 + 3, "q": 1.0}, + {"op": "as_float", "u": 2**70 + 1, "q": 1.0}, + {"op": "as_float", "u": 2**1024 - 2**970 - 1, "q": 1.0}, + {"op": "as_float", "u": 2**1024 - 2**970, "q": 1.0}, + {"op": "as_float", "u": -(2**1024 - 2**970 - 1), "q": 1.0}, + {"op": "as_float", "u": (2**1024 - 2**970) * 2**32 - 1, "q": ["pow2", -32]}, + {"op": "as_float", "u": (2**1024 - 2**970) * 2**32, "q": ["pow2", -32]}, + ], + [ + -0.5, + 9007199254740996.0, + 1.1805916207174113e21, + 1.7976931348623157e308, + f"ValueError: as_float: {2**1024 - 2**970} units times the resolution exceed the largest finite double", + -1.7976931348623157e308, + 1.7976931348623157e308, + f"ValueError: as_float: {(2**1024 - 2**970) * 2**32} units times the resolution exceed the largest finite double", + ], + id="UNITS-as-float-range", + ), + pytest.param( + [ + {"op": "sum", "xs": [0.5, 0.5], "q": 1.0}, + {"op": "sum", "xs": [0.25, 0.25], "q": 1.0}, + ], + [ + dict(units=[1, 1], sum_of_units=2, total="1", units_of_total=1), + dict(units=[0, 0], sum_of_units=0, total="1/2", units_of_total=1), + ], + id="UNITS-sums", + ), +] + + +def _units_input(spec): + if not isinstance(spec, list): + return spec + if spec[0] == "pow2": + return 2.0 ** spec[1] + if spec[0] == "numpy": + return getattr(np, spec[1])(spec[2]) + if spec[0] == "array": + return np.array(spec[2], dtype=spec[1]) + assert spec[0] == "list" + return spec[1:] + + +def _units_to_python(value): + if isinstance(value, np.ndarray): + assert value.dtype == np.int64 + assert value.ndim == 1 + return value.tolist() + assert type(value) is int + return value + + +def _units_example(cases): + results = [] + for case in cases: + q = _units_input(case["q"]) + op = case["op"] + try: + if op == "to_units": + result = _units_to_python(ngc.to_units(_units_input(case["x"]), q)) + elif op == "as_float": + result = ngc.as_float(case["u"], q) + assert type(result) is float + elif op == "round_trip": + result = ngc.to_units(ngc.as_float(case["u"], q), q) + assert type(result) is int + elif op == "error": + a = _units_input(case["x"]) + b = float(a) + u = ngc.to_units(a, q) + value = Fraction(ngc.as_float(u, q)) + error = (value - Fraction(b)) / Fraction(q) + exact_argument = Fraction(a) if isinstance(a, int) else Fraction(b) + result = dict( + units=u, + error=str(error), + inside=-Fraction(1, 2) < error <= Fraction(1, 2), + error_against_argument=str((value - exact_argument) / Fraction(q)), + ) + else: + assert op == "sum" + xs = case["xs"] + each = _units_to_python(ngc.to_units(xs, q)) + total = sum(map(Fraction, xs), Fraction(0)) + result = dict( + units=each, + sum_of_units=sum(each), + total=str(total / Fraction(q)), + units_of_total=ngc.to_units(float(total), q), + ) + except ValueError as exc: + result = f"ValueError: {exc}" + results.append(result) + return results + + +def _assert_units_result(got, expected): + # Equality alone lets 1, True and 1.0 pass interchangeably; pin the types and every key. + assert type(got) is type(expected), (got, expected) + if isinstance(expected, dict): + assert got.keys() == expected.keys() + for key in expected: + _assert_units_result(got[key], expected[key]) + elif isinstance(expected, list): + assert len(got) == len(expected) + for value, want in zip(got, expected, strict=True): + _assert_units_result(value, want) + else: + assert got == expected + + +@pytest.mark.parametrize("cases, expected", UNITS_EXAMPLES) +def test_binary64_examples(cases, expected): + _assert_units_result(_units_example(cases), expected) + + +def _exact_binary_units(b, q): + # An independent rational oracle: never calls a production conversion helper. + return math.floor(Fraction(b) / Fraction(q) + Fraction(1, 2)) + + +def _units_sweep(): + rng = random.Random(10) + counts = dict.fromkeys( + [ + "checked", + "agree", + "ties", + "ties_up", + "inside", + "decimal_differs", + "round_trips", + "returned", + ], + 0, + ) + + def one(b, q, tie_n=None): + expected = _exact_binary_units(b, q) + u = ngc.to_units(b, q) + assert type(u) is int + assert u == expected, (b, q, u, expected) + # The array kernel must obey the same rule, including both ndarray ranks. + assert ngc.to_units(np.array(b), q) == expected + array = ngc.to_units([b, b], q) + assert array.dtype == np.int64 and array.tolist() == [expected, expected] + array = ngc.to_units(np.array([b, 0.0, b])[::2], q) + assert array.dtype == np.int64 and array.tolist() == [expected, expected] + counts["checked"] += 1 + counts["agree"] += u == expected + if tie_n is not None: + assert expected == tie_n + 1 + counts["ties"] += 1 + counts["ties_up"] += u == tie_n + 1 + value = ngc.as_float(u, q) + assert type(value) is float + assert Fraction(value) == Fraction(u) * Fraction(q) + assert ngc.as_float([u, u], q).tolist() == [value, value] + e = Fraction(value) - Fraction(b) + assert -Fraction(q) / 2 < e <= Fraction(q) / 2 + counts["inside"] += 1 + counts["decimal_differs"] += ( + math.floor(Fraction(str(b)) / Fraction(q) + Fraction(1, 2)) != expected + ) + + for k in range(-32, 33): + q = 2.0**k + ns = [0, 1, 2**26, 2**52 - 1] + [rng.randrange(2**52) for _ in range(64)] + for n in ns: + tie = (2 * n + 1) * q / 2 + one(tie, q, n) + one(math.nextafter(tie, 0.0), q) + one(math.nextafter(tie, math.inf), q) + for edge in (2**52, 2**53): + one(edge * q, q) + one(math.nextafter(edge * q, 0.0), q) + one(5e-324, q) + for _ in range(64): + one(math.ldexp(rng.random(), rng.randrange(-40, 63)) * q, q) + for u in [0, 1, 2**53 - 1, 2**53] + [ + rng.randrange(2**53 + 1) for _ in range(64) + ]: + value = ngc.as_float(u, q) + assert Fraction(value) == Fraction(u) * Fraction(q) + returned = ngc.to_units(value, q) + assert returned == u + counts["round_trips"] += 1 + counts["returned"] += returned == u + return counts + + +def test_binary64_double_steps(): + _assert_units_result( + _units_sweep(), + dict( + checked=17745, + agree=17745, + ties=4420, + ties_up=4420, + inside=17745, + decimal_differs=2248, + round_trips=4420, + returned=4420, + ), + ) + + +@pytest.mark.parametrize("dtype", [np.float32, np.float64]) +def test_binary64_float32_containers(dtype): + # float32 promotion is exact; the shortest decimal of the source float32 is not its value. + value = dtype(0.1) + expected = 429496736 if dtype is np.float32 else 429496730 + q = 2.0**-32 + assert ngc.to_units(value, q) == expected + assert ngc.to_units(float(value), q) == expected + assert ngc.to_units(np.array(value), q) == expected + for values in ( + [value, value], + (value, value), + np.array([value, value], dtype=dtype), + ): + result = ngc.to_units(values, q) + assert result.dtype == np.int64 + assert result.tolist() == [expected, expected] + + +@pytest.mark.parametrize("q", [2.0**k for k in range(-32, 33)]) +def test_binary64_signed_round_trip_and_refusal(q): + # Both directions around the consecutive-integer limit; vector and scalar paths. + for u in [ + -(2**53 + 3), + -(2**53 + 1), + -(2**53), + -1, + 0, + 1, + 2**53, + 2**53 + 1, + 2**53 + 3, + ]: + expected = float(Fraction(u) * Fraction(q)) + assert ngc.as_float(u, q) == expected + assert ngc.as_float([u, u], q).tolist() == [expected, expected] + with pytest.raises(ValueError, match=exact(BOUND)): + ngc.to_units(ngc.as_float(2**62 - 1, q), q) + assert ngc.to_units(ngc.as_float(2**62 - 512, q), q) == 2**62 - 512 + + +@pytest.mark.parametrize("q", [1.0, 2.0**-32]) +@pytest.mark.parametrize("sign", [-1, 1]) +def test_binary64_unbounded_finite_edge(q, sign): + first_invalid = (2**1024 - 2**970) * (1 if q == 1.0 else 2**32) + last_valid = sign * (first_invalid - 1) + expected = sign * float.fromhex("0x1.fffffffffffffp+1023") + assert ngc.as_float(last_valid, q) == expected + result = ngc.as_float([1, last_valid], q) + assert result.dtype == np.float64 and result.tolist() == [q, expected] + u = sign * first_invalid + message = exact( + f"as_float: {u} units times the resolution exceed the largest finite double" + ) + for value in (u, [1, u]): + with pytest.raises(ValueError, match=message) as error: + ngc.as_float(value, q) + assert error.type is ValueError + + +class _IntegerSequence(int): + def __len__(self): + return 2 + + def __getitem__(self, index): + if index in (0, 1): + return (3, 4)[index] + raise IndexError(index) + + +class _NumpySignedSequence(np.int64): + __len__ = _IntegerSequence.__len__ + __getitem__ = _IntegerSequence.__getitem__ + + +class _NumpyUnsignedSequence(np.uint64): + __len__ = _IntegerSequence.__len__ + __getitem__ = _IntegerSequence.__getitem__ + + +@pytest.mark.parametrize( + "scalar_type", [_IntegerSequence, _NumpySignedSequence, _NumpyUnsignedSequence] +) +def test_as_float_integer_scalar_precedes_sequence(scalar_type): + value = scalar_type(7) + result = ngc.as_float(value, 0.5) + assert type(result) is float + assert result == 3.5 + assert result.hex() == (3.5).hex() + + +def test_as_float_noninteger_sequence_keeps_its_path(): + class IndexSequence(list): + def __index__(self): + return 7 + + result = ngc.as_float(IndexSequence([3, 4]), 0.5) + assert type(result) is np.ndarray + assert result.dtype == np.float64 and result.shape == (2,) + assert result.tolist() == [1.5, 2.0] + + +@pytest.mark.parametrize("dtype", [np.int64, np.uint64]) +def test_as_float_integer_array_paths_are_unchanged(dtype): + with pytest.raises( + TypeError, + match=exact("as_float: x must be a 1-D array (got 0 dimensions)"), + ): + ngc.as_float(np.array(7, dtype=dtype), 0.5) + result = ngc.as_float(np.array([3, 4], dtype=dtype), 0.5) + assert type(result) is np.ndarray + assert result.dtype == np.float64 and result.shape == (2,) + assert result.tolist() == [1.5, 2.0] + with pytest.raises( + TypeError, + match=exact("as_float: x must be a 1-D array (got 2 dimensions)"), + ): + ngc.as_float(np.array([[7]], dtype=dtype), 0.5) + + +@pytest.mark.parametrize("value", [True, False, np.True_, np.False_]) +def test_as_float_scalar_classification_still_rejects_bool(value): + with pytest.raises(TypeError): + ngc.as_float(value, 0.5) + assert ngc.as_float(1, 0.5) == 0.5 + + +@pytest.mark.parametrize("dtype", [np.int64, np.uint64]) +@pytest.mark.parametrize( + "value, expected", [(2**53 + 1, 2**53), (2**53 + 3, 2**53 + 4)] +) +def test_to_units_integer_zero_dimensional_array_promotes(dtype, value, expected): + result = ngc.to_units(np.array(value, dtype=dtype), 1.0) + assert type(result) is int + assert result == expected + + +@pytest.mark.parametrize("dtype", [np.int64, np.uint64]) +def test_to_units_integer_array_promotes(dtype): + values = np.array([2**53 + 1, 2**53 + 3], dtype=dtype) + result = ngc.to_units(values, 1.0) + assert type(result) is np.ndarray + assert result.shape == (2,) + assert result.dtype == np.int64 + assert result.tolist() == [2**53, 2**53 + 4] diff --git a/tests/typing/invalid_client.py b/tests/typing/invalid_client.py index 8cc3db9..8e8ff12 100644 --- a/tests/typing/invalid_client.py +++ b/tests/typing/invalid_client.py @@ -7,6 +7,9 @@ and dtype lines, a mistake in the caller's own code) that a type checker must catch before. """ +import typing +from fractions import Fraction + import numpy as np import numpy.typing as npt @@ -92,3 +95,16 @@ class PolicySubclass(ng.FlowPolicy): # expect: reportGeneralTypeIssues pass + + +# Unknown ndarray rank cannot promise an array, and a general index protocol may be a sequence. +a0 = np.array(1.5) +c: npt.NDArray[np.int64] = ng.to_units(a0, 0.5) # expect: reportAssignmentType + + +def require_float(x: typing.SupportsIndex) -> float: + return ng.as_float(x, 0.5) # expect: reportReturnType + + +ng.to_units(1.5, Fraction(1, 2)) # expect: reportCallIssue, reportArgumentType +ng.as_float(3, Fraction(1, 2)) # expect: reportCallIssue, reportArgumentType diff --git a/tests/typing/valid_client.py b/tests/typing/valid_client.py index 68e4be1..242d853 100644 --- a/tests/typing/valid_client.py +++ b/tests/typing/valid_client.py @@ -6,7 +6,7 @@ """ from fractions import Fraction -from typing import assert_type +from typing import SupportsIndex, assert_type import numpy as np import numpy.typing as npt @@ -34,12 +34,65 @@ both = ng.Eligibility.intersect(eligibility, g.eligibility()) assert_type(both, ng.Eligibility) -# Units: a scalar gives an int, an array an int64 array; and back. +# Units: scalars and Python sequences have known shapes; ndarray rank needs narrowing. assert_type(ng.to_units(1.5, 0.5), int) +assert_type(ng.to_units(np.float32(0.1), np.int64(1)), int) +assert_type(ng.to_units(3, np.float32(0.5)), int) assert_type(ng.to_units([1.5, 2.0], 0.5), npt.NDArray[np.int64]) +assert_type(ng.to_units((np.int64(3), np.float32(2)), 0.5), npt.NDArray[np.int64]) +assert_type(ng.to_units(np.array(1.5), 0.5), int | npt.NDArray[np.int64]) +assert_type(ng.to_units(np.array([1.5, 2.0]), 0.5), int | npt.NDArray[np.int64]) +converted = ng.to_units(np.array([1.5, 2.0]), 0.5) +if isinstance(converted, np.ndarray): + assert_type(converted, npt.NDArray[np.int64]) + assert converted.tolist() == [3, 4] +assert type(ng.to_units(np.array(1.5), 0.5)) is int assert_type(ng.as_float(3, 0.5), float) +assert_type(ng.as_float(np.int64(3), 0.5), float) +assert_type(ng.as_float([3, 4], 0.5), npt.NDArray[np.float64]) assert_type(ng.as_float(np.array([3, 4]), 0.5), npt.NDArray[np.float64]) + +class IndexValue: + def __index__(self) -> int: + return 3 + + +def physical_index(x: SupportsIndex) -> float | npt.NDArray[np.float64]: + assert_type(ng.as_float(x, 0.5), float | npt.NDArray[np.float64]) + return ng.as_float(x, 0.5) + + +assert physical_index(IndexValue()) == 1.5 + + +# A structural integer protocol may also be a sequence. Sequence classification wins at runtime. +class IndexSequence(list[int]): + def __index__(self) -> int: + return 3 + + +assert_type(ng.as_float(IndexSequence([3, 4]), 0.5), npt.NDArray[np.float64]) +assert isinstance(physical_index(IndexSequence([3, 4])), np.ndarray) + + +# Integer subclasses keep the scalar overload even when they expose sequence methods. +class IntegerSequence(int): + def __len__(self) -> int: + return 2 + + def __getitem__(self, index: int) -> int: + if index in (0, 1): + return (3, 4)[index] + raise IndexError(index) + + +scalar_from_integer = ng.as_float(IntegerSequence(7), 0.5) +assert_type(scalar_from_integer, float) +assert type(scalar_from_integer) is float +assert scalar_from_integer == 3.5 +assert scalar_from_integer.hex() == (3.5).hex() + # The search: optional results are checked before use. full = ng.spf( g, 0, ng.SpfOptions(ng.Direction.FORWARD, tie_break=ng.RouteTieBreak.FEWER_HOPS) @@ -263,3 +316,9 @@ assert_type(together, list[ng.PlacementResult]) in_order = ng.apply_actions(listed, (ng.Place(first_policy, 1),)) assert_type(in_order[0].call_delivered, int) + +# Units' floating branches describe allowed positive infinity, including NumPy float32. +units_inf = np.float32(np.inf) +assert ng.EvaluationOptions( + ng.FlowPolicyConfig(routing=ng.ShortestPaths()), offer=units_inf +).offer == float("inf") From 28aebc15ee0e8007914536465d5b09c8524ee7b6 Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Wed, 21 Oct 2026 08:30:46 +0100 Subject: [PATCH 25/39] Faster edge-failure sensitivity and K shortest paths, same results Sensitivity of the unrestricted optimized CentralizedTE maximum flow now reads each loss from the baseline's residual network: a saturated edge between different strongly connected components loses its whole flow, any other stops its repair once the loss is known. Every candidate still starts from the baseline and nothing intermediate is published. K shortest paths keeps the spur index that produced each alternative (Lawler) and skips the searches it has already done. Paths, their order and every field are unchanged. One strongly-connected-components routine now serves both sensitivity and lossy forwarding. Co-Authored-By: Claude Opus 5.5 --- CHANGELOG.md | 8 + README.md | 7 +- bindings/python/evaluators.cpp | 9 +- dev/cpp-tests.sh | 3 + dev/perf/README.md | 9 + dev/perf/aba_api.hpp | 35 ++- dev/perf/aba_rows.hpp | 145 ++++++++++-- dev/perf/test_tool.py | 4 +- docs/semantics.md | 19 +- .../netgraph/core/detail/evaluator_checks.hpp | 21 ++ .../netgraph/core/detail/min_cost_flow.hpp | 20 +- .../netgraph/core/detail/search_detail.hpp | 21 ++ .../core/detail/strong_components.hpp | 73 ++++++ include/netgraph/core/evaluators.hpp | 10 +- include/netgraph/core/search.hpp | 3 + python/netgraph_core/__init__.pyi | 9 +- src/evaluators.cpp | 47 +++- src/forwarding.cpp | 53 +---- src/min_cost_flow.cpp | 71 +++++- src/search.cpp | 47 +++- tests/cpp/ksp_tests.cpp | 93 ++++++++ .../min_cost_flow_deletion_fault_tests.cpp | 151 ++++++++---- tests/cpp/min_cost_flow_deletion_tests.cpp | 218 +++++++++++++++++- tests/cpp/search_fault_tests.cpp | 38 ++- tests/py/removed_names_reviewed.txt | 10 +- tests/py/test_evaluators.py | 126 +++++++++- tests/py/test_ksp.py | 92 ++++++++ 27 files changed, 1165 insertions(+), 177 deletions(-) create mode 100644 include/netgraph/core/detail/strong_components.hpp diff --git a/CHANGELOG.md b/CHANGELOG.md index d218da8..f2e470a 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -36,6 +36,14 @@ API. ### Changed +- **Exact sensitivity**: unrestricted optimized `CentralizedTE` with a maximum baseline uses + residual-component certificates, or stops a deletion repair when its + scalar loss is known. The complete baseline, candidate order and reductions are preserved; + every actual repair resets independently and publishes no intermediate allocation. Binding + finite offers and other model domains retain their existing computation. +- **K shortest paths**: alternatives retain their generating spur index and skip searches + in earlier prefix regions (Lawler’s partition), preserving complete path order, exact tie + keys, masks and cost ceilings. - **Concurrency**: native work releases the GIL. One gate per ledger protects reads and whole scalar/list publications; independent ledgers run in parallel. Policy construction and evaluators take one optional building-exclusive or frozen-shared cache lease, with FIFO lifecycle admission; diff --git a/README.md b/README.md index dfe58e3..c5a7d89 100644 --- a/README.md +++ b/README.md @@ -242,9 +242,10 @@ One native integer minimum-cost flow core serves `CentralizedTE` routing, the `O the evaluators and T2's sizing (there with every cost taken as 0: a maximum flow): the largest flow up to a cap from a source set to a destination set over the eligible edges, sent at the lowest total cost, starting from zero flow. For `evaluate_edge_failures` of unrestricted `CentralizedTE` -with `OPTIMIZED` source allocation it repairs the baseline's solution for each removed edge instead -of solving again, when that baseline is a maximum flow (no offer, or an offer above it); at an -offer that binds each deletion is solved at the offer. Its private Python entry +with `OPTIMIZED` source allocation and a maximum baseline, exact residual certificates or the +first deletion-repair stage give the same loss as a fresh solve. Each repair resets independently; +unbalanced intermediate amounts are never published. At an offer that binds, each deletion is +solved afresh at that offer. Its private Python entry `_netgraph_core._solve_min_cost_flow(graph, view, sources, destinations, eligibility, cap)` returns the payload `{flow_value, marginal_cost_curve, edge_flows, min_cut, potentials, counters}` for the flow checks of the test suites. diff --git a/bindings/python/evaluators.cpp b/bindings/python/evaluators.cpp index 2c0805d..a651e79 100644 --- a/bindings/python/evaluators.cpp +++ b/bindings/python/evaluators.cpp @@ -257,10 +257,11 @@ void register_evaluators(py::module_& m) { "can carry a route, so deleting it can change the result, and with the equal source allocation a deletion that\n" "removes a source from the roster can raise the total: a negative reduction). delivery_reduction =\n" "baseline.call_delivered minus the call_delivered of evaluate_demand() without the edge, in signed\n" - "units, never thresholded. Two\n" - "shortcuts give exactly that value: unrestricted optimized CentralizedTE whose baseline is a maximum flow\n" - "(no offer, or an offer above what it delivers) repairs a copy of the baseline's solve instead of solving\n" - "again (at an offer the baseline delivers, each deletion is solved at the offer), and ShortestPaths\n" + "units, never thresholded. Two shortcuts give exactly that value. Unrestricted optimized CentralizedTE\n" + "whose baseline is a maximum flow (no offer, or an offer above what it delivers) reads each loss from\n" + "the baseline's residual network without a new solve: a saturated edge whose endpoints lie in different\n" + "strongly connected components loses its whole flow, any other its flow minus what can be rerouted\n" + "between its endpoints. At an offer the baseline delivers, each deletion is solved at the offer. ShortestPaths\n" "gives reduction 0 without placing to an edge outside the static shortest-path support reachable from\n" "the roster sources (no route can use it). CentralizedTE with a support solves every deletion afresh; Pinned\n" "replays the same program under each deletion. workers as evaluate_pairs\n" diff --git a/dev/cpp-tests.sh b/dev/cpp-tests.sh index 3b4a894..b1d452a 100644 --- a/dev/cpp-tests.sh +++ b/dev/cpp-tests.sh @@ -45,6 +45,7 @@ Concurrency.FrozenTallyPublishesInsideTheLease DeadOccurrences.ForwardingSizesWithoutThem FlowCoreDeletion.CheckpointsEqualTheIterativeUpdate FlowCoreDeletion.RerunningTheFailedSearchAddsExactlyOneSearch +FlowCoreDeletion.ScalarRepairStopsBeforeCancellation ForwardingSize.TheCallChecksEachCountInOrder GraphLayout.CombinedKeyPassesOnlyBelowNTimesKEqualsE GraphLayout.HashAndFallbackBoundaryAt65536DistinctCosts @@ -52,7 +53,9 @@ GraphLayout.ProbeBudgetFallbackInCollectionAndGrowth GraphLayout.ProbeBudgetIsCumulativeAcrossTheLargeTableGrowths GraphLayout.RadixFallbackDigitsOnBothSidesOfTheCombinedKeyBoundary GraphLayout.RunsOfEqualCostsSkipTheLookup +Ksp.DeviationSkipsOnlySearchesComparedWithFullYen Search.QueueDispatchAtTheWidthLimit +Sensitivity.ShortcutControlsPreserveEveryFieldAndClassifyCuts " die() { echo "dev/cpp-tests.sh: $*" >&2; exit 1; } diff --git a/dev/perf/README.md b/dev/perf/README.md index 1814dde..6e47f4a 100644 --- a/dev/perf/README.md +++ b/dev/perf/README.md @@ -317,6 +317,7 @@ failed. | `capacity` | `capacity.costonly_{eb,prop}.failures` | ShortestPaths capacity over 32 failure states x 8 pairs | | `maxflow` | `maxflow.exact.{totals,detailed}` | exact maximum flow over 8 failure states x 4 pairs | | `sensitivity` | `sens.exact`, `sens.policy_all_edges`, `sens.equal_global` | exact-model sensitivity; policy-model loss for every eligible edge; equal-source-allocation CentralizedTE, every edge solved afresh | +| `sensitivity` | `sens.exact.{cut,partial,branch,reroute,capped}` | full exact-model sensitivity calls on a 64-link saturated chain, 32 partial-repair branches, 32 branches with a second upstream route and a shared downstream cut, 32 branches with a parallel upstream member and a downstream cut, and the chain at binding offer 1; nonuniform costs, baseline/classification/copies/results included | | `pooled` | `pooled.{ecmp,lossy}.clos`, `pooled.from_dag.clos`, `pooled.from_dag_build.clos` | 8 demands of 8 pooled sources on one ledger, Lossless / Lossy above capacity; the same demands by Pinned over prebuilt `from_dag` programs, and building those programs | | `global` | `global.equal.random` | equal-source-allocation CentralizedTE capacity, 2 demands of 4 sources | | `program` | `program.forward.global`, `program.replay.lossy`, `program.stale.lossy`, `program.replace.costonly`, `program.ring.lossy` | forwarding programs: a CentralizedTE program forwarded, replayed under failures (Lossy), stale under black holes, ShortestPaths re-prepared by replace; a 64-head program on a ring of 64 links whose 64 barriers form one cyclic group (6 rounds) | @@ -325,6 +326,11 @@ failed. | `t2` | `t2.exact16.headroom`, `t2.exact16.cost`, `t2.upto256.headroom`, `t2.size.mesh` | T2 on the same fabric and demands: 16 tunnels per head with and without `prefer_headroom`, up to 256 with it; 16 tunnels for 10 heads on a 500-node mesh (2000 links, 5/8 to 8/8 free), sizing-dominated | | `msd` | `msd.loop` | the maximum-supported-demand bracket and bisection with a per-series DAG cache | | `ksp` | `ksp.fabric3_k8` | k = 8 shortest paths for 8 pairs | +| `ksp` | `ksp.longprefix_k64` | 96-edge common prefix and 64 branches, k = 64; all prefix and result work timed | +| `ksp` | `ksp.weighted_k32` | random 128 x6, seed64, four pairs, k = 32 | +| `ksp` | `ksp.collapse` | 12-hop parallel prefix, 32 branches, HIGHER_CAPACITY Collapse | +| `ksp` | `ksp.ties` | 64 equal-cost branches, each of the four tie rules | +| `ksp` | `ksp.k1` | the long-prefix population with k = 1 | | `cache` | `cache.cold`, `cache.warm`, `cache.frozen.reads` | 64 direct lookups from a cleared, prepopulated building, or prepopulated frozen cache | | `concurrency` | `concurrency.place_zero`, `delivered`, `program`, `config` | 10,000 calls of one operation on a prepared one-link policy (capacity 16, cost 3, q=1, replace(4)); config is the immutable control | | `concurrency` | `concurrency.two_ledgers_serial`, `concurrency.two_ledgers_parallel` | 32 evaluate(32) calls on each independent ledger; 384-node/2816-edge layered graph, q=1, capacity 64, two thread launches and joins in both modes | @@ -401,3 +407,6 @@ nothing. They test the rules of this file: frozen-input, root and queue checks; * the frozen files: both `SHA256SUMS` files, and the values compiled into `aba_rows.hpp` against the JSON files (each storage row on its input). + +The `sens.exact`, cut/repair population and `sens.policy_all_edges` rows also have +`.w2` counterparts: the identical full query on two workers. Unsuffixed rows use one worker. diff --git a/dev/perf/aba_api.hpp b/dev/perf/aba_api.hpp index e6d1f0f..bd7ed68 100644 --- a/dev/perf/aba_api.hpp +++ b/dev/perf/aba_api.hpp @@ -21,7 +21,7 @@ // * spf_path (spf.single.canonical16k): spf(g, {src}, Forward, targets {dst}) with the row's // route choice (multipath = false) and the residual: the canonical single path. Digest: // target_cost and the walk. -// * ksp (ksp.fabric3_k8): ksp(g, src, dst, KspOptions(k)) (FEWER_HOPS, every parallel edge), no +// * ksp: K shortest paths with the row's tie and parallel-edge choices, no // residual, no ceiling, no masks. Digest: the path count, then per // path its cost, hop count and B' edge ids (the graph's edge ids, ordered by source, cost, target // and input position). @@ -392,20 +392,31 @@ inline std::uint64_t fold_edge_failures(const nc::SensitivityResult& r) { } // Exact-model failure study: CentralizedTE, optimized source allocation (candidates: the baseline's positive-flow edges). -inline std::uint64_t edge_failures_exact(const Graph& g, int src, int dst, const Elig& el) { +inline std::uint64_t edge_failures_exact(const Graph& g, int src, int dst, const Elig& el, std::int32_t workers = 1) { const nc::NodeId s[1] = {src}; const nc::NodeId t[1] = {dst}; nc::EvaluationOptions opts {global_config(), el.get(), nullptr, {}}; - return fold_edge_failures(nc::evaluate_edge_failures(g.ref(), s, t, opts, 1)); + return fold_edge_failures(nc::evaluate_edge_failures(g.ref(), s, t, opts, workers)); +} + +// Complete evaluator call on a fixed failure-study population. A finite offer is +// physical, converted on both sides at the graph's common resolution. +inline std::uint64_t edge_failures_unmasked(const Graph& g, int dst, std::optional offer = std::nullopt, + std::int32_t workers = 1) { + const nc::NodeId sources[1] = {0}; + const nc::NodeId destinations[1] = {dst}; + nc::EvaluationOptions options {global_config()}; + if (offer) options.offer = std::optional(nc::to_units(*offer, kResolution)); + return fold_edge_failures(nc::evaluate_edge_failures(g.ref(), sources, destinations, options, workers)); } // Policy-model failure study over every allowed edge: ShortestPaths Equal. -inline std::uint64_t edge_failures_policy_all_edges(const Graph& g, int src, int dst, const Elig& el) { +inline std::uint64_t edge_failures_policy_all_edges(const Graph& g, int src, int dst, const Elig& el, std::int32_t workers = 1) { const nc::NodeId s[1] = {src}; const nc::NodeId t[1] = {dst}; const auto cfg = config(nc::ShortestPaths {}, Kernel::Equal); nc::EvaluationOptions opts {cfg, el.get(), nullptr, {}}; - return fold_edge_failures(nc::evaluate_edge_failures(g.ref(), s, t, opts, 1)); + return fold_edge_failures(nc::evaluate_edge_failures(g.ref(), s, t, opts, workers)); } // Pooled ShortestPaths placement: one Equal policy (Lossless, or Lossy) per demand of several @@ -1017,9 +1028,17 @@ struct ParallelLedgers { } }; -// K shortest paths: the FEWER_HOPS tie_break, every parallel edge. -inline std::uint64_t ksp(const Graph& g, int src, int dst, int k) { - const nc::KspOptions opts(k); +// K shortest paths; defaults retain FEWER_HOPS and every parallel edge. +enum class KspTie { Fewer, Capacity, Available, Headroom }; +inline std::uint64_t ksp(const Graph& g, int src, int dst, int k, bool parallel = true, KspTie tie = KspTie::Fewer) { + nc::KspOptions opts(k); + opts.parallel_edges = parallel; + switch (tie) { + case KspTie::Fewer: opts.tie_break = nc::RouteTieBreak::FewerHops; break; + case KspTie::Capacity: opts.tie_break = nc::RouteTieBreak::HigherCapacity; break; + case KspTie::Available: opts.tie_break = nc::RouteTieBreak::HigherAvailableCapacity; break; + case KspTie::Headroom: opts.tie_break = nc::RouteTieBreak::HigherHeadroom; break; + } const auto paths = nc::ksp(g.ref(), src, dst, opts); Digest d; d.add_i(static_cast(paths.size())); diff --git a/dev/perf/aba_rows.hpp b/dev/perf/aba_rows.hpp index 56c83b6..03f754d 100644 --- a/dev/perf/aba_rows.hpp +++ b/dev/perf/aba_rows.hpp @@ -879,26 +879,76 @@ inline std::vector rows() { "exact max-flow with edge flows, residuals and bottleneck edges, same inputs as totals", [=] { return exact_row(true); }}); // ---- the failure study (evaluate_edge_failures) - r.push_back({"sens.exact", "sensitivity", - "exact-model sensitivity (candidates: the positive-flow edges), random 256 x6, 4 pairs", - [] { - auto g = std::make_shared(abaapi::build(gen_random(256, 6, 19))); - auto el = std::make_shared(abaapi::eligibility(*g, {}, {})); - std::vector> pairs = {{1, 129}, {30, 200}, {77, 5}, {250, 60}}; - return Iter([g, el, pairs] { Digest d; for (auto [s, t] : pairs) d.add(abaapi::edge_failures_exact(*g, s, t, *el)); return d.h; }); - }}); - r.push_back({"sens.policy_all_edges", "sensitivity", - "policy-model sensitivity over every eligible edge, ShortestPaths EB, Clos 16x8 (256 edges), 2 pairs", - [] { - auto g = std::make_shared(abaapi::build(gen_clos(16, 8, 20))); - auto el = std::make_shared(abaapi::eligibility(*g, {}, {})); - return Iter([g, el] { - Digest d; - d.add(abaapi::edge_failures_policy_all_edges(*g, 0, 8, *el)); - d.add(abaapi::edge_failures_policy_all_edges(*g, 3, 12, *el)); - return d.h; - }); - }}); + for (int workers : {1, 2}) { + r.push_back({workers == 1 ? "sens.exact" : "sens.exact.w2", "sensitivity", + "exact-model sensitivity (candidates: the positive-flow edges), random 256 x6, 4 pairs", + [=] { + auto g = std::make_shared(abaapi::build(gen_random(256, 6, 19))); + auto el = std::make_shared(abaapi::eligibility(*g, {}, {})); + std::vector> pairs = {{1, 129}, {30, 200}, {77, 5}, {250, 60}}; + return Iter([g, el, pairs, workers] { Digest d; for (auto [s, t] : pairs) d.add(abaapi::edge_failures_exact(*g, s, t, *el, workers)); return d.h; }); + }}); + } + // Fixed cut/repair populations. Every timed iteration includes the full + // baseline and complete SensitivityResult, including all classification and copies. + auto edge_failure_population = [](int kind, int workers = 1) { + Arrays a; + const int blocks = 32; + auto add = [&](int u, int v, double capacity, std::int64_t cost) { + a.src.push_back(u); a.dst.push_back(v); a.cap.push_back(capacity); a.cost.push_back(cost); + }; + if (kind == 0 || kind == 3) { + a.n = 65; + for (int u = 0; u < 64; ++u) add(u, u + 1, 3, 1 + u % 3); + } else if (kind == 1 || kind == 4) { + a.n = blocks + 2; + for (int i = 0; i < blocks; ++i) { + add(0, i + 1, 3, 1); + if (kind == 4) { + add(0, i + 1, 3, 3); + add(i + 1, a.n - 1, 3, 2); + } else { + add(i + 1, a.n - 1, 3, 2); + add(i + 1, a.n - 1, 1, 5); + } + } + } else { + a.n = 3 * blocks + 2; + for (int i = 0; i < blocks; ++i) { + const int u = 3 * i + 1, v = u + 1, w = u + 2; + add(0, u, 3, 1); add(0, v, 3, 3); + add(u, w, 3, 1); add(v, w, 3, 1); add(w, a.n - 1, 3, 1); + } + } + auto g = std::make_shared(abaapi::build(a)); + return Iter([g, destination = a.n - 1, kind, workers] { + return abaapi::edge_failures_unmasked(*g, destination, kind == 3 ? std::optional(1) : std::nullopt, workers); + }); + }; + r.push_back({"sens.exact.cut", "sensitivity", "unrestricted optimized edge-failure evaluation, 64-edge nonuniform-cost saturated chain; full baseline/results", [=] { return edge_failure_population(0); }}); + r.push_back({"sens.exact.partial", "sensitivity", "unrestricted optimized edge-failure evaluation, 32 branches with one of three deleted units reroutable; full baseline/results", [=] { return edge_failure_population(1); }}); + r.push_back({"sens.exact.branch", "sensitivity", "32 branches; upstream deletion reroutes all 3 units through a second branch (first repair, zero loss), shared downstream is a cut; full baseline/results", [=] { return edge_failure_population(2); }}); + r.push_back({"sens.exact.reroute", "sensitivity", "32 branches with a parallel upstream member (first repair, zero loss) and a cut downstream link; full baseline/results", [=] { return edge_failure_population(4); }}); + r.push_back({"sens.exact.capped", "sensitivity", "same 64-edge saturated chain at binding offer 1, unchanged fresh-solve fallback; full baseline/results", [=] { return edge_failure_population(3); }}); + r.push_back({"sens.exact.cut.w2", "sensitivity", "unrestricted optimized edge-failure evaluation, 64-edge nonuniform-cost saturated chain; full baseline/results", [=] { return edge_failure_population(0, 2); }}); + r.push_back({"sens.exact.partial.w2", "sensitivity", "unrestricted optimized edge-failure evaluation, 32 branches with one of three deleted units reroutable; full baseline/results", [=] { return edge_failure_population(1, 2); }}); + r.push_back({"sens.exact.branch.w2", "sensitivity", "32 branches; upstream deletion reroutes all 3 units through a second branch (first repair, zero loss), shared downstream is a cut; full baseline/results", [=] { return edge_failure_population(2, 2); }}); + r.push_back({"sens.exact.reroute.w2", "sensitivity", "32 branches with a parallel upstream member (first repair, zero loss) and a cut downstream link; full baseline/results", [=] { return edge_failure_population(4, 2); }}); + r.push_back({"sens.exact.capped.w2", "sensitivity", "same 64-edge saturated chain at binding offer 1, unchanged fresh-solve fallback; full baseline/results", [=] { return edge_failure_population(3, 2); }}); + for (int workers : {1, 2}) { + r.push_back({workers == 1 ? "sens.policy_all_edges" : "sens.policy_all_edges.w2", "sensitivity", + "policy-model sensitivity over every eligible edge, ShortestPaths EB, Clos 16x8 (256 edges), 2 pairs", + [=] { + auto g = std::make_shared(abaapi::build(gen_clos(16, 8, 20))); + auto el = std::make_shared(abaapi::eligibility(*g, {}, {})); + return Iter([g, el, workers] { + Digest d; + d.add(abaapi::edge_failures_policy_all_edges(*g, 0, 8, *el, workers)); + d.add(abaapi::edge_failures_policy_all_edges(*g, 3, 12, *el, workers)); + return d.h; + }); + }}); + } // ---- pooled sources and the equal source allocation (several sources of one demand) // Eight demands of eight source leaves each to one destination leaf on a Clos 64x32 (unit costs, // links of 10..80): demand j has the leaves 8j..8j+7 and the leaf (8j + 36) mod 64. Every source @@ -1152,6 +1202,61 @@ inline std::vector rows() { }); }}); // ---- k shortest paths, the DAG cache, eligibility + auto prefix_population = [](int stem, int width, bool ties, bool parallels) { + Arrays a; + a.n = stem + width + 2; + auto add = [&](int u, int v, double cap, std::int64_t cost) { + a.src.push_back(u); a.dst.push_back(v); a.cap.push_back(cap); a.cost.push_back(cost); + }; + for (int v = 0; v < stem; ++v) { + add(v, v + 1, 100, 1); + if (parallels) add(v, v + 1, 50, 1); + } + for (int i = 0; i < width; ++i) { + add(stem, stem + i + 1, 1 + i % 9, 1); + add(stem + i + 1, a.n - 1, 1 + i % 9, ties ? 1 : 1 + i % 9); + } + return a; + }; + r.push_back({"ksp.longprefix_k64", "ksp", + "96-edge common prefix then 64 two-edge branches, costs 2..10, k=64, FEWER_HOPS Expand; complete ordered paths", + [=] { + auto g = std::make_shared(abaapi::build(prefix_population(96, 64, false, false))); + return Iter([g] { return abaapi::ksp(*g, 0, 161, 64); }); + }}); + r.push_back({"ksp.weighted_k32", "ksp", + "random 128 x6 seed64, costs1..31, k=32, four endpoint pairs, FEWER_HOPS Expand", + [] { + auto g = std::make_shared(abaapi::build(gen_random(128, 6, 64))); + return Iter([g] { + Digest d; + for (int s : {0, 16, 32, 48}) d.add(abaapi::ksp(*g, s, 127 - s, 32)); + return d.h; + }); + }}); + r.push_back({"ksp.collapse", "ksp", + "12-edge common prefix with two parallel members per hop, 32 branches, k=32, HIGHER_CAPACITY Collapse", + [=] { + auto g = std::make_shared(abaapi::build(prefix_population(12, 32, false, true))); + return Iter([g] { return abaapi::ksp(*g, 0, 45, 32, false, abaapi::KspTie::Capacity); }); + }}); + r.push_back({"ksp.ties", "ksp", + "three-edge prefix and 64 equal-cost branches with varied capacities, k=64, each of the four ties, Expand", + [=] { + auto g = std::make_shared(abaapi::build(prefix_population(3, 64, true, false))); + return Iter([g] { + Digest d; + for (auto tie : {abaapi::KspTie::Fewer, abaapi::KspTie::Capacity, abaapi::KspTie::Available, abaapi::KspTie::Headroom}) + d.add(abaapi::ksp(*g, 0, 68, 64, true, tie)); + return d.h; + }); + }}); + r.push_back({"ksp.k1", "ksp", + "same 96-edge prefix/64 branches as ksp.longprefix_k64, k=1, unchanged first-search-only work", + [=] { + auto g = std::make_shared(abaapi::build(prefix_population(96, 64, false, false))); + return Iter([g] { return abaapi::ksp(*g, 0, 161, 1); }); + }}); r.push_back({"ksp.fabric3_k8", "ksp", "K shortest paths, k = 8, three-tier fabric 8 pods x 16 leaves, 8 pairs", [] { diff --git a/dev/perf/test_tool.py b/dev/perf/test_tool.py index b152ae6..9305af3 100644 --- a/dev/perf/test_tool.py +++ b/dev/perf/test_tool.py @@ -3121,7 +3121,7 @@ def test_list(self): self.assertEqual(proc.returncode, 0, proc.stderr) rows = aba.row_list(proc.stdout.encode(), "aba-list") real = {k: v for k, v in rows.items() if not k.startswith("test.")} - self.assertEqual(len(real), 77) + self.assertEqual(len(real), 94) sums = sha256sums(HERE / "queries") lists = {} for name in sums: @@ -3155,7 +3155,7 @@ def test_blocks(self): real = [row for row in listed if not row.startswith("test.")] with concurrent.futures.ThreadPoolExecutor(os.cpu_count() or 1) as pool: procs = list(pool.map(lambda row: self.harness("aba-run", row, "1"), real)) - self.assertEqual(len(procs), 77) + self.assertEqual(len(procs), 94) for row, proc in zip(real, procs, strict=True): self.assertEqual(proc.returncode, 0, (row, proc.stderr)) self.assertEqual( diff --git a/docs/semantics.md b/docs/semantics.md index b969c7b..951272f 100644 --- a/docs/semantics.md +++ b/docs/semantics.md @@ -536,6 +536,13 @@ returns a list of `(cost, Path)` pairs; every hop of every Path has one member. `KspOptions` keeps the ceiling as given; `ksp` checks it in this place. An excluded endpoint or no path gives `[]`. +Internally, each pending alternative remembers the spur index that generated it. When that +path is accepted, Lawler's partition needs searches only at that index and later ones: earlier +prefix regions already have their pending minimum. The generating index is included in the +expansion, and all preceding edges still contribute their cost, exact bottleneck and excluded +vertices. The index never enters the path key. Each spur returns the minimum whole prefixed +path under that same key, so this partition preserves the complete ordered result of full Yen. + ```python g = graph(3, [(0, 1, 3, 1), (0, 1, 5, 1), (1, 2, 9, 1)]) # parallel members 0 and 1 higher = ngc.RouteTieBreak.HIGHER_CAPACITY @@ -2395,10 +2402,14 @@ on a ledger with that load. carries more without the edge (for example, equal splitting no longer sends a share down a thin path, or a source behind it no longer holds the equal allocation back). Unrestricted `CentralizedTE` with `OPTIMIZED` source allocation, when its baseline is a maximum flow (no - offer, or an offer above what it delivers), computes each deletion by repairing a copy of the - baseline's solve, which gives exactly the value of a fresh solve; at an offer the baseline - delivers (the offer binds, perhaps below the maximum), and with `EQUAL` source allocation or a - support, each deletion is solved afresh. T1 sets up again for the same design + offer, or an offer above what it delivers), obtains the same delivery reduction as a fresh solve through + exact residual certificates or the first repair from a private baseline copy. A positive-flow + saturated edge across residual strongly connected components loses exactly its flow; other + edges lose their flow minus the amount the first repair can reroute. The intermediate amounts + may violate conservation and are never published or used as a new baseline. Each actual repair + resets independently. These shortcuts preserve the complete baseline and the candidate entries/order. + At an offer the baseline delivers (the offer binds, perhaps below the maximum), and with + `EQUAL` source allocation or a support, each deletion is solved afresh. T1 sets up again for the same design under each deletion; T2 redoes its sizing, count choice and objectives, on the same supplied support when there is one. `Pinned` replays the same program under each deletion (a repaired fixed-route question, not a new optimum and not stale forwarding): deleting an edge of diff --git a/include/netgraph/core/detail/evaluator_checks.hpp b/include/netgraph/core/detail/evaluator_checks.hpp index 87dde8c..06a6735 100644 --- a/include/netgraph/core/detail/evaluator_checks.hpp +++ b/include/netgraph/core/detail/evaluator_checks.hpp @@ -17,6 +17,27 @@ namespace netgraph::core::detail { +#if NETGRAPH_CORE_PRIVATE_HOOKS +// Native-only controls for comparing edge-failure shortcuts with complete repairs. +// The caller owns the probe through all worker joins; observers may not use Python. +enum class SensitivityWork { FullRepair, FirstRepair, Cut }; +struct SensitivityProbe { + bool full_repair {false}; + bool cut_edges {true}; + void (*observe)(void*, EdgeId, SensitivityWork) {nullptr}; + void* context {nullptr}; +}; +[[nodiscard]] const SensitivityProbe* current_edge_failure_probe() noexcept; +void set_edge_failure_probe(const SensitivityProbe* probe) noexcept; +struct ScopedSensitivityProbe { + const SensitivityProbe* previous; + explicit ScopedSensitivityProbe(const SensitivityProbe* probe) noexcept : previous(current_edge_failure_probe()) { set_edge_failure_probe(probe); } + ~ScopedSensitivityProbe() { set_edge_failure_probe(previous); } + ScopedSensitivityProbe(const ScopedSensitivityProbe&) = delete; + ScopedSensitivityProbe& operator=(const ScopedSensitivityProbe&) = delete; +}; +#endif + // evaluate_pairs's validation in its two parts: the arguments (workers, foreign objects, the // Pinned, the configuration), then one pair (its endpoint sets, their overlap, its // Eligibility's graph, the pooled single-path rule for its source count), the pairs in index diff --git a/include/netgraph/core/detail/min_cost_flow.hpp b/include/netgraph/core/detail/min_cost_flow.hpp index e97e75a..473d635 100644 --- a/include/netgraph/core/detail/min_cost_flow.hpp +++ b/include/netgraph/core/detail/min_cost_flow.hpp @@ -199,11 +199,16 @@ struct DeletionProbe { class MinCostFlowSolver; -// The deletion re-solve on one worker's copy of a captured state: each call resets the -// residuals and potentials from that copy, deletes a real arc e = (u, v) with flow f_e > 0 and -// repairs the state by three fixed-origin repairs (u -> v for f_e; u -> s*, then t* -> v, for -// the remainder). The network is read in place, shared with every copy of the state (the copy -// keeps it alive); the working storage is the resolver's own, allocated at construction. +// Positive-flow saturated edges crossing residual strongly connected components have +// deletion loss equal to their baseline flow. One classification on the complete augmented +// network, virtual arcs included; bits are per graph EdgeId. Requires a certified maximum. +[[nodiscard]] std::vector deletion_cut_edges(const DeletionState& state); + +// Deletions on one worker's copy of a captured state: every call resets the residuals and +// potentials and deletes a real arc e = (u, v) carrying a positive amount. Full resolve() uses +// up to three repairs with fixed endpoints (u -> v for that amount; u -> s*, then t* -> v for the remainder). +// Scalar loss() stops after the first. The network is shared read-only with every copy of +// the state, which keeps it alive; working buffers belong to the resolver and grow as needed. class DeletionResolver { public: explicit DeletionResolver(const DeletionState& state); @@ -216,8 +221,13 @@ class DeletionResolver { // Throws std::invalid_argument before any change when the state is not certified maximum or // e is not an edge of the view with positive flow. [[nodiscard]] DeletionResult resolve(EdgeId e); + // Scalar deletion loss after the first u -> v repair only, with the same preconditions + // and independent baseline reset as resolve(). The private intermediate amounts may be + // unbalanced and are never returned as an allocation. + [[nodiscard]] Amount loss(EdgeId e); #if NETGRAPH_CORE_PRIVATE_HOOKS [[nodiscard]] DeletionResult resolve(EdgeId e, const DeletionProbe& probe); + [[nodiscard]] Amount loss(EdgeId e, const DeletionProbe& probe); #endif private: diff --git a/include/netgraph/core/detail/search_detail.hpp b/include/netgraph/core/detail/search_detail.hpp index 8511b2d..d22bec5 100644 --- a/include/netgraph/core/detail/search_detail.hpp +++ b/include/netgraph/core/detail/search_detail.hpp @@ -23,6 +23,7 @@ */ #pragma once +#include #include #include #include @@ -37,6 +38,26 @@ namespace netgraph::core::detail { +#if NETGRAPH_CORE_PRIVATE_HOOKS +// Native-only full-Yen comparator and observations. The caller owns the probe throughout +// the call; observers run between workspace leases and may throw to test cleanup. +struct KspProbe { + bool full_yen {false}; + void (*spur)(void*, std::size_t deviation, std::size_t index) {nullptr}; + void (*duplicate)(void*, std::size_t old_deviation, std::size_t new_deviation) {nullptr}; + void* context {nullptr}; +}; +[[nodiscard]] const KspProbe* current_ksp_probe() noexcept; +void set_ksp_probe(const KspProbe* probe) noexcept; +struct ScopedKspProbe { + const KspProbe* previous; + explicit ScopedKspProbe(const KspProbe* probe) noexcept : previous(current_ksp_probe()) { set_ksp_probe(probe); } + ~ScopedKspProbe() { set_ksp_probe(previous); } + ScopedKspProbe(const ScopedKspProbe&) = delete; + ScopedKspProbe& operator=(const ScopedKspProbe&) = delete; +}; +#endif + // A route choice as the searches read it: the tie rule, all equal-cost walks (multipath) or the // canonical single path, and whether every parallel edge of a (u, v) pair is kept (parallel_edges). // The public options (SpfOptions, KspOptions, ShortestPaths, DistributedTE) each give it its fields: diff --git a/include/netgraph/core/detail/strong_components.hpp b/include/netgraph/core/detail/strong_components.hpp new file mode 100644 index 0000000..010f834 --- /dev/null +++ b/include/netgraph/core/detail/strong_components.hpp @@ -0,0 +1,73 @@ +#pragma once + +#include +#include +#include +#include +#include +#include + +namespace netgraph::core::detail { + +// Iterative Tarjan over a validated CSR graph: offsets has n + 1 entries, heads are +// vertex indices, and both vertices and arc positions fit int32. usable(a) selects +// arcs without copying the adjacency. Labels are assigned in component completion +// order; the return value is their count. The predicate is inlined at each call site. +template +std::int32_t strong_components(std::span offsets, + std::span heads, Usable usable, + std::vector& labels) { + const auto n = offsets.size() - 1; + labels.assign(n, -1); + std::vector index(n, -1); + std::vector low(n, 0); + std::vector on(n, 0); + std::vector stack; + std::vector> work; // (vertex, next adjacency position) + std::int32_t counter = 0; + std::int32_t num_components = 0; + for (std::size_t s = 0; s < n; ++s) { + if (index[s] >= 0) continue; + work.emplace_back(static_cast(s), offsets[s]); + index[s] = low[s] = counter++; + stack.push_back(static_cast(s)); + on[s] = 1; + while (!work.empty()) { + auto& [v, k] = work.back(); + const auto vi = static_cast(v); + if (k < offsets[vi + 1]) { + const auto a = static_cast(k++); + if (!usable(a)) continue; + const auto w = static_cast(heads[a]); + if (index[w] < 0) { + index[w] = low[w] = counter++; + stack.push_back(static_cast(w)); + on[w] = 1; + work.emplace_back(static_cast(w), offsets[w]); + } else if (on[w] != 0) { + low[vi] = std::min(low[vi], index[w]); + } + continue; + } + if (low[vi] == index[vi]) { + while (true) { + const auto w = static_cast(stack.back()); + stack.pop_back(); + on[w] = 0; + labels[w] = num_components; + if (w == vi) break; + } + ++num_components; + } + const auto done = v; + work.pop_back(); + if (!work.empty()) { + const auto u = static_cast(work.back().first); + low[u] = std::min(low[u], low[static_cast(done)]); + } + } + } + return num_components; +} + +} // namespace netgraph::core::detail diff --git a/include/netgraph/core/evaluators.hpp b/include/netgraph/core/evaluators.hpp index 1c7b2eb..ff82317 100644 --- a/include/netgraph/core/evaluators.hpp +++ b/include/netgraph/core/evaluators.hpp @@ -97,10 +97,12 @@ struct SensitivityResult { // source from the roster can raise the total, a negative delivery_reduction). delivery_reduction is // the baseline's call_delivered minus the call_delivered with that edge deleted, using the same // config, offer, design and cache. When the unrestricted optimized CentralizedTE baseline is a -// maximum flow (no offer, or an offer above what it delivers), each deletion starts from the -// baseline solve's final state and repairs it, using one state copy per worker: the exact maximum -// flow at minimum cost. At an offer the baseline delivers (it binds, perhaps below the maximum), -// each deletion is solved afresh at the offer. CentralizedTE with a support solves every deletion afresh; +// maximum flow (no offer, or an offer above what it delivers), a saturated edge whose endpoints +// lie in different strongly connected components of the residual network loses its whole flow. +// Any other candidate loses its flow minus what can be rerouted between its endpoints. +// These shortcuts preserve the complete baseline result and candidate order. +// At an offer the baseline delivers (it binds, perhaps below the maximum), each deletion is +// solved afresh at the offer. CentralizedTE with a support solves every deletion afresh. // T1 sets up again for the same design under each deletion, T2 redoes its sizing, count selection // and objectives; Pinned replays the same program under // each deletion (a fixed-route failure question). diff --git a/include/netgraph/core/search.hpp b/include/netgraph/core/search.hpp index 1881dbb..a6ad3f8 100644 --- a/include/netgraph/core/search.hpp +++ b/include/netgraph/core/search.hpp @@ -97,6 +97,9 @@ struct KspOptions { // (std::invalid_argument): tie_break, source and destination in range, source == destination, k >= 1, // the ceiling, the residual, a foreign Eligibility. An excluded endpoint, no static route under a // CostStretch ceiling, or no path gives an empty list. +// Each alternative remembers the spur index that produced it (Lawler's partition) and is +// expanded from there; the index is not part of the path key, and those searches still count +// the whole prefix's cost and bottleneck and exclude its vertices. [[nodiscard]] std::vector> ksp(const Graph& graph, NodeId source, NodeId destination, const KspOptions& options); // The source -> destination walks of a DAG in increasing (cost, hops, edge-id sequence): a hop's diff --git a/python/netgraph_core/__init__.pyi b/python/netgraph_core/__init__.pyi index 6ef4d37..f704770 100644 --- a/python/netgraph_core/__init__.pyi +++ b/python/netgraph_core/__init__.pyi @@ -2708,10 +2708,11 @@ def evaluate_edge_failures( can carry a route, so deleting it can change the result, and with the equal source allocation a deletion that removes a source from the roster can raise the total: a negative reduction). delivery_reduction = baseline.call_delivered minus the call_delivered of evaluate_demand() without the edge, in signed - units, never thresholded. Two - shortcuts give exactly that value: unrestricted optimized CentralizedTE whose baseline is a maximum flow - (no offer, or an offer above what it delivers) repairs a copy of the baseline's solve instead of solving - again (at an offer the baseline delivers, each deletion is solved at the offer), and ShortestPaths + units, never thresholded. Two shortcuts give exactly that value. Unrestricted optimized CentralizedTE + whose baseline is a maximum flow (no offer, or an offer above what it delivers) reads each loss from + the baseline's residual network without a new solve: a saturated edge whose endpoints lie in different + strongly connected components loses its whole flow, any other its flow minus what can be rerouted + between its endpoints. At an offer the baseline delivers, each deletion is solved at the offer. ShortestPaths gives reduction 0 without placing to an edge outside the static shortest-path support reachable from the roster sources (no route can use it). CentralizedTE with a support solves every deletion afresh; Pinned replays the same program under each deletion. workers as evaluate_pairs diff --git a/src/evaluators.cpp b/src/evaluators.cpp index 65eae79..f43775b 100644 --- a/src/evaluators.cpp +++ b/src/evaluators.cpp @@ -3,8 +3,9 @@ evaluate(offer, design)). evaluate_pairs() runs it per pair and evaluate_edge_failures() per candidate deletion on `workers` threads; results follow input order and the lowest failing index supplies the exception. Unrestricted CentralizedTE with the - optimized source allocation deletes only the edges its baseline loads, repairing the baseline flow after each - deletion when that flow is a maximum (no offer, or an offer it does not reach) and solving afresh at a binding + optimized source allocation deletes only the edges its baseline loads. At a maximum baseline it + derives scalar losses from residual component certificates or the first deletion repair, + resetting each worker's private state independently, and solves afresh at a binding offer. ShortestPaths skips an edge that no roster source's reachable part of the static shortest-path support contains: removing it changes no route or amount. Other deletions (the equal source allocation of CentralizedTE among them: a deletion @@ -245,6 +246,14 @@ std::vector reachable_support(const Graph& graph, const detail::Po namespace detail { +#if NETGRAPH_CORE_PRIVATE_HOOKS +namespace { +thread_local const SensitivityProbe* edge_failure_probe = nullptr; +} +const SensitivityProbe* current_edge_failure_probe() noexcept { return edge_failure_probe; } +void set_edge_failure_probe(const SensitivityProbe* probe) noexcept { edge_failure_probe = probe; } +#endif + std::optional check_demand_arguments(const Graph& graph, std::span sources, std::span destinations, const EvaluationOptions& options, ArgumentWork search) { auto roster = check_policy_construction(graph, sources, destinations, options.config, options.eligibility, options.cache, search); @@ -343,7 +352,8 @@ SensitivityResult evaluate_edge_failures_in_call(const Graph& graph, std::span(&options.config.routing); @@ -369,6 +379,7 @@ SensitivityResult evaluate_edge_failures_in_call(const Graph& graph, std::span candidates; + std::vector baseline_flows; if (global) { // The baseline's positive-flow edges; no state, and no candidate, when no roster source // reaches an allowed destination (nothing is placed). @@ -376,9 +387,9 @@ SensitivityResult evaluate_edge_failures_in_call(const Graph& graph, std::spanvalue() != out.baseline.call_delivered) { throw std::logic_error("evaluate_edge_failures: the captured state differs from the baseline"); } - const auto flows = capture.state->edge_flows(); + baseline_flows = capture.state->edge_flows(); for (EdgeId e = 0; e < graph.num_edges(); ++e) { - if (flows[static_cast(e)] > 0) candidates.push_back(e); + if (baseline_flows[static_cast(e)] > 0) candidates.push_back(e); } } } else { @@ -390,10 +401,23 @@ SensitivityResult evaluate_edge_failures_in_call(const Graph& graph, std::spanfull_repair; + const bool classify = !full_repair && (probe == nullptr || probe->cut_edges); +#else + constexpr bool full_repair = false; + constexpr bool classify = true; +#endif out.entries.resize(candidates.size()); + std::vector cut_edges; + if (repair && !candidates.empty() && classify) cut_edges = detail::deletion_cut_edges(*capture.state); + const bool needs_resolver = repair && std::any_of(candidates.begin(), candidates.end(), [&](EdgeId e) { + return cut_edges.empty() || cut_edges[static_cast(e)] == 0; + }); // CentralizedTE: one resolver per worker (its copy of the state and its working storage), made here. std::vector resolvers; - if (repair && !candidates.empty()) { + if (needs_resolver) { const auto threads = worker_threads(candidates.size(), workers); resolvers.reserve(threads); for (std::size_t t = 0; t < threads; ++t) resolvers.emplace_back(*capture.state); @@ -404,7 +428,16 @@ SensitivityResult evaluate_edge_failures_in_call(const Graph& graph, std::span(e); + const bool cut = !cut_edges.empty() && cut_edges[k] != 0; +#if NETGRAPH_CORE_PRIVATE_HOOKS + if (probe != nullptr && probe->observe != nullptr) { + probe->observe(probe->context, e, full_repair ? SensitivityWork::FullRepair : cut ? SensitivityWork::Cut : SensitivityWork::FirstRepair); + } +#endif + if (cut) entry.delivery_reduction = baseline_flows[k]; + else if (full_repair) entry.delivery_reduction = base - resolvers[t].resolve(e).value; + else entry.delivery_reduction = resolvers[t].loss(e); return; } if (cost_only && on_route[static_cast(e)] == 0) { diff --git a/src/forwarding.cpp b/src/forwarding.cpp index 19f206d..f1b4f87 100644 --- a/src/forwarding.cpp +++ b/src/forwarding.cpp @@ -52,6 +52,7 @@ #include "netgraph/core/detail/int128.hpp" #include "netgraph/core/detail/route_builders.hpp" +#include "netgraph/core/detail/strong_components.hpp" namespace netgraph::core::detail { @@ -1597,57 +1598,9 @@ void LossyForwardingEvaluator::build_events() { for (const auto& [a, b] : edges) dependencies_[static_cast(fill[static_cast(a)]++)] = b; } -// Tarjan's strongly connected components, iterative (no recursion depth). void LossyForwardingEvaluator::find_strong_components() { - const auto n = static_cast(num_events_); - scc_.assign(n, -1); - std::vector index(n, -1); - std::vector low(n, 0); - std::vector on(n, 0); - std::vector stack; - std::vector> work; // (event, next adjacency position) - std::int32_t counter = 0; - num_scc_ = 0; - for (std::size_t s = 0; s < n; ++s) { - if (index[s] >= 0) continue; - work.emplace_back(static_cast(s), dependency_offsets_[s]); - index[s] = low[s] = counter++; - stack.push_back(static_cast(s)); - on[s] = 1; - while (!work.empty()) { - auto& [v, k] = work.back(); - const auto vi = static_cast(v); - if (k < dependency_offsets_[vi + 1]) { - const auto w = static_cast(dependencies_[static_cast(k)]); - ++k; - if (index[w] < 0) { - index[w] = low[w] = counter++; - stack.push_back(static_cast(w)); - on[w] = 1; - work.emplace_back(static_cast(w), dependency_offsets_[w]); - } else if (on[w] != 0) { - low[vi] = std::min(low[vi], index[w]); - } - continue; - } - if (low[vi] == index[vi]) { - while (true) { - const auto w = static_cast(stack.back()); - stack.pop_back(); - on[w] = 0; - scc_[w] = num_scc_; - if (w == vi) break; - } - ++num_scc_; - } - const auto done = v; - work.pop_back(); - if (!work.empty()) { - const auto u = static_cast(work.back().first); - low[u] = std::min(low[u], low[static_cast(done)]); - } - } - } + num_scc_ = strong_components(dependency_offsets_, dependencies_, + [](std::size_t) { return true; }, scc_); } // Amount x reaches occurrence o (a router's split, or a tunnel's injection): a dark occurrence diff --git a/src/min_cost_flow.cpp b/src/min_cost_flow.cpp index 1cd3827..bacf064 100644 --- a/src/min_cost_flow.cpp +++ b/src/min_cost_flow.cpp @@ -65,6 +65,7 @@ else, so every vertex id, slot and offset fits. */ #include "netgraph/core/detail/min_cost_flow.hpp" +#include "netgraph/core/detail/strong_components.hpp" #include #include @@ -328,22 +329,11 @@ class MinCostFlowSolver { // The deletion re-solve of input edge k (a real arc with positive flow) from `state`, whose // network this solver holds (load()). DeletionResult resolve(const DeletionState& state, std::size_t k) { - std::copy(state.residual().begin(), state.residual().end(), arc_residual_.begin()); - std::copy(state.potentials().begin(), state.potentials().end(), repair_potentials_.begin()); DeletionResult out; auto& c = out.counters; - const auto fwd = static_cast(network_->edge_forward_arcs[k]); - const auto bwd = static_cast(network_->reverse_arcs[fwd]); - const Amount f = arc_residual_[bwd]; + const Amount r = begin_deletion(state, k, c); const std::int32_t u = network_->edge_sources[k]; const std::int32_t v = network_->edge_destinations[k]; - // Removing e leaves f extra units at u and f missing units at v; conservation is broken - // until repairs reconnect or cancel them. Remove both residual arcs of e. - arc_residual_[fwd] = 0; - arc_residual_[bwd] = 0; - emit(0, false, 0, c); - const Amount m = repair(1, u, v, f, false, c); - const Amount r = f - m; if (r > 0) { bool reuse = true; #if NETGRAPH_CORE_PRIVATE_HOOKS @@ -370,7 +360,33 @@ class MinCostFlowSolver { return out; } + Amount loss(const DeletionState& state, std::size_t k) { + MinCostFlowCounters counters; + // Loss = deleted flow minus the capped u -> v reroute. Later cancellation stages + // restore conservation but cannot change this value. + return begin_deletion(state, k, counters); + } + private: + // Both full and scalar repair start from the captured maximum, never from the + // previous call's potentially unbalanced intermediate state. + Amount begin_deletion(const DeletionState& state, std::size_t k, MinCostFlowCounters& c) { + std::copy(state.residual().begin(), state.residual().end(), arc_residual_.begin()); + std::copy(state.potentials().begin(), state.potentials().end(), repair_potentials_.begin()); + const auto fwd = static_cast(network_->edge_forward_arcs[k]); + const auto bwd = static_cast(network_->reverse_arcs[fwd]); + const Amount f = arc_residual_[bwd]; + const std::int32_t u = network_->edge_sources[k]; + const std::int32_t v = network_->edge_destinations[k]; + // Removing e leaves f extra units at u and f missing units at v; conservation is broken + // until repairs reconnect or cancel them. Remove both residual arcs of e. + arc_residual_[fwd] = 0; + arc_residual_[bwd] = 0; + emit(0, false, 0, c); + const Amount m = repair(1, u, v, f, false, c); + return f - m; + } + // The vertex count and the virtual vertices of `net` (refused beyond the limits of // network_vertices(), before any change), then the scratch of that many vertices. void size(const ResidualNetwork& net) { @@ -782,6 +798,28 @@ DeletionResolver& DeletionResolver::operator=(DeletionResolver&&) noexcept = def DeletionResult DeletionResolver::resolve(EdgeId e) { return solver_->resolve(state_, index_of(e)); } +Amount DeletionResolver::loss(EdgeId e) { return solver_->loss(state_, index_of(e)); } + +std::vector deletion_cut_edges(const DeletionState& state) { + if (!state.maximum()) { + throw std::invalid_argument("deletion cut classification requires a certified maximum"); + } + const auto& net = state.network(); + const auto residual = state.residual(); + std::vector component; + strong_components(net.arc_offsets, net.arc_destinations, + [residual](std::size_t a) { return residual[a] > 0; }, component); + std::vector cut(static_cast(state.graph().num_edges()), 0); + for (std::size_t k = 0; k < net.edges.size(); ++k) { + const auto a = static_cast(net.edge_forward_arcs[k]); + if (residual[a] == 0 && residual[static_cast(net.reverse_arcs[a])] > 0 && + component[static_cast(net.edge_sources[k])] != component[static_cast(net.edge_destinations[k])]) { + cut[static_cast(net.edges[k])] = 1; + } + } + return cut; +} + #if NETGRAPH_CORE_PRIVATE_HOOKS DeletionResult DeletionResolver::resolve(EdgeId e, const DeletionProbe& probe) { const std::size_t k = index_of(e); @@ -792,6 +830,15 @@ DeletionResult DeletionResolver::resolve(EdgeId e, const DeletionProbe& probe) { solver_->probe(&probe); return solver_->resolve(state_, k); } + +Amount DeletionResolver::loss(EdgeId e, const DeletionProbe& probe) { + struct Reset { + MinCostFlowSolver& solver; + ~Reset() { solver.probe(nullptr); } + } reset {*solver_}; + solver_->probe(&probe); + return loss(e); +} #endif std::size_t DeletionResolver::index_of(EdgeId e) const { diff --git a/src/search.cpp b/src/search.cpp index 5588e62..72761f4 100644 --- a/src/search.cpp +++ b/src/search.cpp @@ -70,6 +70,12 @@ bool uses_buckets(const Graph& graph, SpfQueue queue) noexcept { } #if NETGRAPH_CORE_PRIVATE_HOOKS +namespace { +thread_local const KspProbe* ksp_probe = nullptr; +} +const KspProbe* current_ksp_probe() noexcept { return ksp_probe; } +void set_ksp_probe(const KspProbe* probe) noexcept { ksp_probe = probe; } + QueueCounts& thread_queue_counts() noexcept { thread_local QueueCounts counts; return counts; @@ -1333,7 +1339,9 @@ std::vector> ksp(const Graph& graph, NodeId source, NodeId const PriorityValues values {&graph, choice.tie_break, residual}; const PriorityReader prio = PriorityReader::of(values); const bool prefer = choice.prefers_score(); - // Yen's method finds alternatives by keeping a prefix and replacing its suffix at a spur. + // Lawler's partition of Yen's alternatives: a path generated at spur d needs expansion + // only at j >= d (inclusive). Earlier prefix regions already have their exact pending + // minima. Each suffix is the minimum whole prefixed path, including its prefix bottleneck. // The first path and each spur suffix use the canonical search with that spur's exclusions. // Match prefixes by EdgeId sequence. Ban the next edge of every accepted matching path // (Expand), or its entire (u, v) transition (Collapse); exclude earlier prefix vertices to @@ -1343,6 +1351,9 @@ std::vector> ksp(const Graph& graph, NodeId source, NodeId Cost cost {0}; Priority bottleneck {0, 1, true}; std::vector edges {}; + // Not part of the key. Mutable only so duplicate insertion can retain the lower index + // without copying a path or changing the ordering of the set. + mutable std::size_t deviation {0}; }; struct PathCandidateOrder { bool prefer; @@ -1365,13 +1376,33 @@ std::vector> ksp(const Graph& graph, NodeId source, NodeId const auto cost = graph.edge_costs(); std::vector nodes; std::vector banned; +#if NETGRAPH_CORE_PRIVATE_HOOKS + const KspProbe* probe = current_ksp_probe(); +#endif while (static_cast(accepted.size()) < options.k) { + const std::size_t deviation = accepted.back().deviation; +#if NETGRAPH_CORE_PRIVATE_HOOKS + const std::size_t start = probe != nullptr && probe->full_yen ? 0 : deviation; +#else + const std::size_t start = deviation; +#endif const std::vector last = accepted.back().edges; nodes.assign(1, source); for (EdgeId e : last) nodes.push_back(edst[static_cast(e)]); Cost prefix_cost = 0; Priority prefix_bottleneck {0, 1, true}; - for (std::size_t j = 0; j < last.size(); ++j) { + // Skipping searches must not skip the cost or score of any prefix edge. + for (std::size_t j = 0; j < start; ++j) { + prefix_cost += cost[static_cast(last[j])]; + if (prefer) { + const Priority pj = prio(last[j]); + if (compare(pj, prefix_bottleneck) < 0) prefix_bottleneck = pj; + } + } + for (std::size_t j = start; j < last.size(); ++j) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + if (probe != nullptr && probe->spur != nullptr) probe->spur(probe->context, deviation, j); +#endif banned.clear(); for (const auto& p : accepted) { if (p.edges.size() > j && std::equal(last.begin(), last.begin() + static_cast(j), p.edges.begin())) { @@ -1387,10 +1418,20 @@ std::vector> ksp(const Graph& graph, NodeId source, NodeId c.bottleneck = compare(sp->bottleneck, prefix_bottleneck) < 0 ? sp->bottleneck : prefix_bottleneck; c.edges.assign(last.begin(), last.begin() + static_cast(j)); c.edges.insert(c.edges.end(), sp->edges.begin(), sp->edges.end()); + c.deviation = j; // Never an accepted path: every accepted path with this prefix has its next edge (Expand) // or its next transition (Collapse) banned at the spur, and the candidate's next edge is // the spur walk's first. Only a pending candidate can be equal; the set keeps one. - candidates.insert(std::move(c)); + const auto [pending, inserted] = candidates.insert(std::move(c)); + if (!inserted) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + if (probe != nullptr && probe->duplicate != nullptr) probe->duplicate(probe->context, pending->deviation, j); +#endif + // A region is searched only when it is created or its pending minimum is accepted, + // so no spur regenerates a pending path. Duplicates arise only under the private + // full-Yen control, with equal indices. min keeps the index safe either way. + pending->deviation = std::min(pending->deviation, j); + } } prefix_cost += cost[static_cast(last[j])]; if (prefer) { diff --git a/tests/cpp/ksp_tests.cpp b/tests/cpp/ksp_tests.cpp index a167291..0e6c0cd 100644 --- a/tests/cpp/ksp_tests.cpp +++ b/tests/cpp/ksp_tests.cpp @@ -22,6 +22,7 @@ #include #include "netgraph/core/detail/route_builders.hpp" +#include "netgraph/core/detail/search_detail.hpp" #include "netgraph/core/search.hpp" #include "search_reference.hpp" #include "test_utils.hpp" @@ -92,8 +93,90 @@ std::vector costs_of(const std::vector>& r) { return out; } +void expect_walks(const Graph& g, NodeId s, NodeId t, const std::vector>& got, + const std::vector& costs, const std::vector>& walks) { + ASSERT_EQ(got.size(), walks.size()); + ASSERT_EQ(costs.size(), walks.size()); + for (std::size_t i = 0; i < got.size(); ++i) { + EXPECT_EQ(got[i].first, costs[i]); + EXPECT_EQ(got[i].second.cost(), costs[i]); + EXPECT_EQ(got[i].second.source(), s); + EXPECT_EQ(got[i].second.destination(), t); + EXPECT_EQ(walk_of(got[i].second), walks[i]); + Cost sum = 0; + for (EdgeId e : walks[i]) sum += g.edge_costs()[static_cast(e)]; + EXPECT_EQ(sum, costs[i]); + } +} + } // namespace +TEST(Ksp, DeviationBoundaryIsInclusiveAndSkippedPrefixCostsRemain) { + const auto g = bgraph(6, {{0, 1, 5, 1}, {0, 4, 5, 5}, {1, 2, 5, 1}, {1, 3, 5, 2}, {1, 5, 5, 2}, + {2, 1, 5, 1}, {2, 4, 5, 2}, {3, 4, 5, 1}, {5, 4, 5, 1}}); + for (const auto tie : {RouteTieBreak::FewerHops, RouteTieBreak::HigherCapacity, + RouteTieBreak::HigherAvailableCapacity, RouteTieBreak::HigherHeadroom}) { + expect_walks(g, 0, 4, run(g, 0, 4, 8, sel(true, tie)), {4, 4, 4, 5}, {{0, 2, 6}, {0, 3, 7}, {0, 4, 8}, {1}}); + expect_walks(g, 0, 4, run(g, 0, 4, 8, sel(true, tie), AbsoluteCost {4}), {4, 4, 4}, {{0, 2, 6}, {0, 3, 7}, {0, 4, 8}}); + expect_walks(g, 0, 4, run(g, 0, 4, 1, sel(true, tie)), {4}, {{0, 2, 6}}); + } +} + +TEST(Ksp, NonzeroDeviationRetainsTheSkippedBottleneck) { + // The prefix caps every whole path at 1. After the cost-3 path (d=1), the cost-4 + // suffixes must tie on score: edge 3 precedes edge 4 despite its smaller capacity. + const auto g = bgraph(3, {{0, 1, 1, 1}, {1, 2, 1, 1}, {1, 2, 1, 2}, {1, 2, 2, 3}, {1, 2, 3, 3}}); + expect_walks(g, 0, 2, run(g, 0, 2, 8, sel(true, RouteTieBreak::HigherCapacity)), + {2, 3, 4, 4}, {{0, 1}, {0, 2}, {0, 3}, {0, 4}}); +} + +TEST(Ksp, NonzeroDeviationStillExcludesEveryEarlierVertex) { + const auto g = bgraph(6, {{0, 1, 5, 1}, {1, 2, 5, 1}, {1, 4, 5, 1}, {2, 3, 5, 1}, {2, 5, 5, 1}, + {3, 1, 5, 1}, {3, 5, 5, 2}, {4, 5, 5, 1}}); + expect_walks(g, 0, 5, run(g, 0, 5, 8, sel()), {3, 3, 5}, {{0, 1, 4}, {0, 2, 7}, {0, 1, 3, 6}}); +} + +TEST(Ksp, PendingHeadroomOrderUsesExactWholePathRatios) { + constexpr Amount m = Amount {1} << 54; + const auto direct = bgraph(2, {{0, 1, m, 1}, {0, 1, m + 1, 1}}); + const std::vector dr {m - 1, m}; + const auto tie = sel(true, RouteTieBreak::HigherHeadroom); + expect_walks(direct, 0, 1, run(direct, 0, 1, 3, tie, std::nullopt, &dr), {1, 1}, {{1}, {0}}); + const auto g = bgraph(4, {{0, 1, 1, 1}, {0, 2, m + 1, 1}, {1, 3, 1, 1}, {1, 3, m, 2}, {2, 3, 1, 2}}); + const std::vector residual {1, m, 1, m - 1, 1}; + expect_walks(g, 0, 3, run(g, 0, 3, 3, tie, std::nullopt, &residual), {2, 3, 3}, {{0, 2}, {1, 4}, {0, 3}}); +} + +TEST(Ksp, DeviationSkipsOnlySearchesComparedWithFullYen) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + std::vector rows; + for (NodeId v = 0; v < 40; ++v) rows.push_back({v, v + 1, 1, 1}); + for (Cost c = 1; c <= 8; ++c) rows.push_back({40, 41, 1, c}); + const auto g = bgraph(42, rows); + struct Counts { std::size_t searches {0}; std::size_t skipped {0}; }; + auto observe = [](void* context, std::size_t d, std::size_t j) { + auto& counts = *static_cast(context); + ++counts.searches; + if (j == d) counts.skipped += d; + }; + Counts lawler, yen; + detail::KspProbe probe; + probe.spur = observe; + probe.context = &lawler; + detail::ScopedKspProbe guard(&probe); + const auto got = run(g, 0, 41, 8, sel()); + probe.full_yen = true; + probe.context = ¥ + const auto full = run(g, 0, 41, 8, sel()); + EXPECT_EQ(got, full); + EXPECT_EQ(lawler.searches, 47U); // 41 first expansion, then six final-edge searches + EXPECT_EQ(yen.searches, 287U); // seven complete 41-edge expansions + EXPECT_EQ(yen.searches - lawler.searches, lawler.skipped); +#else + GTEST_SKIP() << "the full-Yen comparator needs private hooks"; +#endif +} + TEST(Ksp, FirstPathIsTheCanonicalSinglePathOfBothDirections) { auto diamond = bgraph(4, {{0, 1, 1, 9}, {0, 2, 1, 1}, {1, 3, 1, 1}, {2, 3, 1, 9}}); auto three = bgraph(6, {{0, 2, 1, 1}, {2, 3, 1, 1}, {3, 5, 1, 1}, {0, 1, 1, 1}, {1, 4, 1, 1}, {4, 5, 1, 1}}); @@ -516,7 +599,17 @@ TEST(Ksp, RandomGraphsAgreeWithExhaustiveEnumeration) { q.parallel_edges = s1.parallel_edges; q.tie_break = s1.tie_break; const auto want = reference_ksp(g, q, 0, static_cast(n - 1), k, ceiling); +#if NETGRAPH_CORE_PRIVATE_HOOKS + detail::KspProbe probe; + probe.duplicate = [](void*, std::size_t old_d, std::size_t new_d) { EXPECT_EQ(old_d, new_d); }; + detail::ScopedKspProbe full_yen(&probe); +#endif auto got = run(g, 0, static_cast(n - 1), k, s1, ceiling, use_res ? &residual : nullptr, masks ? &el : nullptr); +#if NETGRAPH_CORE_PRIVATE_HOOKS + probe.full_yen = true; + const auto full = run(g, 0, static_cast(n - 1), k, s1, ceiling, use_res ? &residual : nullptr, masks ? &el : nullptr); + EXPECT_EQ(got, full) << "graph " << gi << " case " << c; +#endif std::vector> walks; for (const auto& [cost, p] : got) { walks.push_back(walk_of(p)); diff --git a/tests/cpp/min_cost_flow_deletion_fault_tests.cpp b/tests/cpp/min_cost_flow_deletion_fault_tests.cpp index fafd0f1..65979f2 100644 --- a/tests/cpp/min_cost_flow_deletion_fault_tests.cpp +++ b/tests/cpp/min_cost_flow_deletion_fault_tests.cpp @@ -526,49 +526,53 @@ TEST(DeletionFaults, CaptureFailsAtEveryAllocationOnAColdOrGrowingThread) { // CentralizedTE's failure study at every allocation (any thread's, and the workers' only) on 1, 2 and 4 // workers; after each failure a retry gives the reference baseline and every entry. TEST(DeletionFaults, GlobalSensitivityFailsAtEveryAllocation) { - const auto g = std::make_shared( - make_graph(5, {{0, 1, 2, 1}, {1, 2, 2, 1}, {1, 3, 1, 2}, {3, 2, 1, 2}, {2, 4, 2, 1}, {0, 3, 1, 5}})); - const EvaluationOptions opts {global_config(), nullptr, nullptr, OutputOptions {true, true, true}}; - const std::vector sources {0}; - const std::vector destinations {4}; - const auto want = evaluate_edge_failures(*g, sources, destinations, opts, 1); - ASSERT_EQ(want.entries.size(), 3U); // the cheapest path 0 -> 1 -> 2 -> 4 carries the maximum 2 - const auto same = [&](const SensitivityResult& got, const std::string& where) { - expect_same(got.baseline, want.baseline, where); - ASSERT_EQ(got.entries.size(), want.entries.size()) << where; - for (std::size_t i = 0; i < want.entries.size(); ++i) { - EXPECT_EQ(got.entries[i].edge, want.entries[i].edge) << where; - EXPECT_EQ(got.entries[i].delivery_reduction, want.entries[i].delivery_reduction) << where; - } + const std::vector> graphs { + std::make_shared(make_graph(5, {{0, 1, 2, 1}, {1, 2, 2, 1}, {1, 3, 1, 2}, {3, 2, 1, 2}, {2, 4, 2, 1}, {0, 3, 1, 5}})), + std::make_shared(make_graph(5, {{0, 1, 3, 1}, {0, 2, 3, 3}, {1, 3, 3, 1}, {2, 3, 3, 1}, {3, 4, 3, 1}})), }; - for (std::int32_t workers : {1, 2, 4}) { - for (bool workers_only : {false, true}) { - if (workers == 1 && workers_only) continue; - int failures = 0; - for (long at = 0;; ++at) { - const std::string where = "workers " + std::to_string(workers) + (workers_only ? " (workers only)" : "") + - " allocation " + std::to_string(at); - // The result and the retry end with the attempt, the workers' scratch with their threads, - // and the reference above grew this thread's: an allocation left live is a leak. - const long live = g_live.load(); - bool failed = false; - { - SensitivityResult got; - const auto call = [&] { got = evaluate_edge_failures(*g, sources, destinations, opts, workers); }; - failed = workers_only ? fails_in_workers_at(at, call) : fails_at(at, call); - if (!failed) { - same(got, where); - } else { - same(evaluate_edge_failures(*g, sources, destinations, opts, workers), "retry after " + where); + for (const auto& g : graphs) { + const EvaluationOptions opts {global_config(), nullptr, nullptr, OutputOptions {true, true, true}}; + const std::vector sources {0}; + const std::vector destinations {4}; + const auto want = evaluate_edge_failures(*g, sources, destinations, opts, 1); + ASSERT_EQ(want.entries.size(), 3U); // three baseline-positive candidates, including a cut edge + const auto same = [&](const SensitivityResult& got, const std::string& where) { + expect_same(got.baseline, want.baseline, where); + ASSERT_EQ(got.entries.size(), want.entries.size()) << where; + for (std::size_t i = 0; i < want.entries.size(); ++i) { + EXPECT_EQ(got.entries[i].edge, want.entries[i].edge) << where; + EXPECT_EQ(got.entries[i].delivery_reduction, want.entries[i].delivery_reduction) << where; + } + }; + for (std::int32_t workers : {1, 2, 4}) { + for (bool workers_only : {false, true}) { + if (workers == 1 && workers_only) continue; + int failures = 0; + for (long at = 0;; ++at) { + const std::string where = "workers " + std::to_string(workers) + (workers_only ? " (workers only)" : "") + + " allocation " + std::to_string(at); + // The result and the retry end with the attempt, the workers' scratch with their threads, + // and the reference above grew this thread's: an allocation left live is a leak. + const long live = g_live.load(); + bool failed = false; + { + SensitivityResult got; + const auto call = [&] { got = evaluate_edge_failures(*g, sources, destinations, opts, workers); }; + failed = workers_only ? fails_in_workers_at(at, call) : fails_at(at, call); + if (!failed) { + same(got, where); + } else { + same(evaluate_edge_failures(*g, sources, destinations, opts, workers), "retry after " + where); + } } + EXPECT_EQ(g_live.load(), live) << where << ": a leak"; + if (!failed) break; + ++failures; + ASSERT_FALSE(::testing::Test::HasFailure()); + ASSERT_LT(at, 10000); } - EXPECT_EQ(g_live.load(), live) << where << ": a leak"; - if (!failed) break; - ++failures; - ASSERT_FALSE(::testing::Test::HasFailure()); - ASSERT_LT(at, 10000); + EXPECT_GT(failures, workers_only ? 10 : 100) << "workers " << workers << " workers_only " << workers_only; } - EXPECT_GT(failures, workers_only ? 10 : 100) << "workers " << workers << " workers_only " << workers_only; } } } @@ -638,3 +642,72 @@ TEST(DeletionFaults, TheStateComparatorsCompareEveryField) { no_results.results.clear(); EXPECT_FALSE(holds(six.state, no_results)); } + +TEST(DeletionFaults, CutClassificationFailsWithoutChangingItsInputOrOutput) { + const auto g = graph(); + DeletionCapture req; + (void)capture(*g, g, req); + const DeletionState saved = *req.state; + const auto expected = detail::deletion_cut_edges(saved); + const detail::ResidualNetwork network = saved.network(); + int failures = 0; + for (long at = 0;; ++at) { + const long live = g_live.load(); + bool failed; + { + std::vector got {77}; + failed = fails_at(at, [&] { got = detail::deletion_cut_edges(saved); }); + if (failed) { + ++failures; + EXPECT_EQ(got, (std::vector {77})); + EXPECT_TRUE(identical(saved, *req.state)); + EXPECT_TRUE(same_network(saved.network(), network)); + got = detail::deletion_cut_edges(saved); + } + EXPECT_EQ(got, expected); + } + EXPECT_EQ(g_live.load(), live) << at; + if (!failed) break; + ASSERT_LT(at, 100); + } + EXPECT_GE(failures, 7); +} + +TEST(DeletionFaults, ScalarRepairsRetryOnTheSameColdAndGrownResolver) { + const auto g = graph(); + DeletionCapture req; + (void)capture(*g, g, req); + const DeletionState saved = *req.state; + const detail::ResidualNetwork network = saved.network(); + for (EdgeId e : saved.network().edges) { + if (saved.edge_flows()[static_cast(e)] == 0) continue; + const auto full = DeletionResolver(saved).resolve(e); + for (bool warm : {false, true}) { + DeletionResolver kept(saved); + if (warm) (void)kept.loss(e); + for (long at = 0;; ++at) { + const long live = g_live.load(); + bool failed; + { + DeletionResolver fresh(saved); + auto& resolver = warm ? kept : fresh; + Amount loss = -1; + failed = fails_at(at, [&] { loss = resolver.loss(e); }); + if (failed) { + EXPECT_EQ(loss, -1); + EXPECT_TRUE(identical(saved, *req.state)); + EXPECT_TRUE(same_network(saved.network(), network)); + loss = resolver.loss(e); + } + EXPECT_EQ(loss, saved.value() - full.value); + // Complete repair can retain additional heap buckets beyond the scalar + // path. Its disposable resolver must not count as a leak of the kept one. + EXPECT_TRUE(same_result(DeletionResolver(saved).resolve(e), full)); + } + EXPECT_EQ(g_live.load(), live) << e << " warm " << warm << " allocation " << at; + if (!failed) break; + ASSERT_LT(at, 1000); + } + } + } +} diff --git a/tests/cpp/min_cost_flow_deletion_tests.cpp b/tests/cpp/min_cost_flow_deletion_tests.cpp index 97a4479..f6146b3 100644 --- a/tests/cpp/min_cost_flow_deletion_tests.cpp +++ b/tests/cpp/min_cost_flow_deletion_tests.cpp @@ -21,7 +21,9 @@ #include #include "netgraph/core/detail/min_cost_flow.hpp" +#include "netgraph/core/detail/evaluator_checks.hpp" #include "netgraph/core/evaluators.hpp" +#include "state_comparators.hpp" #include "test_utils.hpp" using namespace netgraph::core; @@ -344,6 +346,10 @@ void check_deletion(const Case& c, const DeletionState& st, EdgeId e, const std: ASSERT_GT(f, 0) << where; DeletionResolver rs(st); const auto r = rs.resolve(e); + EXPECT_EQ(rs.loss(e), st.value() - r.value) << where; + // A partial scalar repair never becomes the next baseline, even when the + // resolver is reused for a full repair immediately afterwards. + EXPECT_TRUE(same_result(rs.resolve(e), r)) << where; #if NETGRAPH_CORE_PRIVATE_HOOKS // rem is the remainder (the units lost) and m the units repair 1 reroutes. const Amount rem = st.value() - r.value; @@ -1452,12 +1458,13 @@ TEST(Sensitivity, GlobalBaselineKeepsEveryOutputsCombination) { {0}, {4}); const auto reference = evaluate_edge_failures(*c.g, c.sources, c.destinations, EvaluationOptions {global_config()}, 1); ASSERT_FALSE(reference.entries.empty()); - for (int bits = 0; bits < 16; ++bits) { - const OutputOptions outputs {(bits & 1) != 0, (bits & 2) != 0, (bits & 4) != 0, (bits & 8) != 0}; + for (int bits = 0; bits < 32; ++bits) { + const OutputOptions outputs {(bits & 1) != 0, (bits & 2) != 0, (bits & 4) != 0, (bits & 8) != 0, (bits & 16) != 0}; EvaluationOptions opts {global_config()}; opts.outputs = outputs; const auto s = evaluate_edge_failures(*c.g, c.sources, c.destinations, opts, 1); const auto cap = evaluate_demand(*c.g, c.sources, c.destinations, EvaluationOptions {global_config(), nullptr, nullptr, outputs}); + expect_same(s.baseline, cap, "complete edge-failure baseline"); EXPECT_EQ(s.baseline.call_delivered, cap.call_delivered) << bits; EXPECT_EQ(s.baseline.marginal_cost_curve, cap.marginal_cost_curve) << bits; EXPECT_EQ(s.baseline.edge_flows, cap.edge_flows) << bits; @@ -1478,3 +1485,210 @@ TEST(Sensitivity, GlobalBaselineKeepsEveryOutputsCombination) { } } } + +TEST(Sensitivity, BaselineComparisonRejectsEveryFieldAndRedistribution) { + const Case c = make_case(5, {{0, 2, 3, 1}, {0, 4, 0, 5}, {1, 3, 4, 2}, {2, 4, 3, 2}, {3, 4, 4, 1}}, {0, 1}, {4}); + const EvaluationOptions options {global_config(), nullptr, nullptr, OutputOptions {true, true, true, true, true}}; + const auto result = evaluate_edge_failures(*c.g, c.sources, c.destinations, options, 1); + const auto& good = result.baseline; + ASSERT_EQ(good.call_delivered, 7); + ASSERT_EQ(good.by_source.size(), 2U); + ASSERT_EQ(good.by_source[0].delivered, 3); + ASSERT_EQ(good.by_source[1].delivered, 4); + expect_same(good, evaluate_demand(*c.g, c.sources, c.destinations, options), "independent baseline call"); + ASSERT_TRUE(good.program != nullptr); + ASSERT_TRUE(good.edge_flows && good.residual && good.saturated_boundary_edges && good.edge_reservations && good.min_cut); + ASSERT_TRUE(good.total_cost && good.marginal_cost_curve && !good.marginal_cost_curve->empty()); + const std::vector> damage = { + [](auto& x) { ++x.call_delivered; }, [](auto& x) { x.call_undelivered = Amount {0}; }, + [](auto& x) { ++x.delivery_delta; }, [](auto& x) { x.call_edge_drops.emplace_back(0, 0); }, + [](auto& x) { ++x.call_source_drops; }, [](auto& x) { x.termination = Termination::Complete; }, + [](auto& x) { x.routes_changed = !x.routes_changed; }, [](auto& x) { x.weights_changed = !x.weights_changed; }, + [](auto& x) { x.reservations_changed = !x.reservations_changed; }, [](auto& x) { x.program.reset(); }, + [](auto& x) { x.plan = TunnelPlan {}; }, [](auto& x) { x.requested = Counter128 {}; }, + [](auto& x) { x.offered = Counter128 {}; }, [](auto& x) { ++x.admitted.lo; }, [](auto& x) { ++x.delivered; }, + [](auto& x) { x.unadmitted = Counter128 {}; }, [](auto& x) { ++x.source_drops.lo; }, + [](auto& x) { x.edge_drops.emplace_back(0, Counter128 {}); }, [](auto& x) { x.by_source.pop_back(); }, + [](auto& x) { ++x.by_source[0].delivered; --x.by_source[1].delivered; }, + [](auto& x) { x.by_tunnel.emplace_back(); }, [](auto& x) { x.total_cost.reset(); }, + [](auto& x) { ++x.total_cost->lo; }, [](auto& x) { x.marginal_cost_curve.reset(); }, + [](auto& x) { ++x.marginal_cost_curve->back().first; }, [](auto& x) { x.edge_flows.reset(); }, + [](auto& x) { ++(*x.edge_flows)[0]; --(*x.edge_flows)[2]; }, [](auto& x) { x.residual.reset(); }, + [](auto& x) { ++x.residual->back(); }, [](auto& x) { x.saturated_boundary_edges.reset(); }, + [](auto& x) { x.saturated_boundary_edges->push_back(0); }, [](auto& x) { x.edge_reservations.reset(); }, + [](auto& x) { ++x.edge_reservations->back(); }, [](auto& x) { x.min_cut.reset(); }, + [](auto& x) { x.min_cut->push_back(0); }, + }; + EXPECT_EQ(failures_of([&] { expect_same(good, good, "same baseline"); }), 0); + for (std::size_t i = 0; i < damage.size(); ++i) { + auto bad = good; + damage[i](bad); + EXPECT_GT(failures_of([&] { expect_same(bad, good, "damaged baseline"); }), 0) << i; + } +} + +TEST(FlowCoreDeletion, CutClassificationMatchesIndependentResidualReachability) { + std::mt19937_64 rng(721); + int classified = 0, bypassed = 0, zero = 0; + // The first case can reroute only by visiting the virtual source. + for (int trial = 0; trial < 181; ++trial) { + const Case c = trial == 0 ? make_case(4, {{0, 2, 1, 1}, {1, 2, 1, 2}, {2, 3, 1, 1}}, {0, 1}, {3}) : random_case(rng); + const auto req = capture_of(c); + const auto& st = *req.state; + const auto& net = st.network(); + const auto got = detail::deletion_cut_edges(st); + ASSERT_EQ(got.size(), static_cast(c.g->num_edges())); + const auto n = static_cast(net.num_nodes) + 2; + std::vector> reach(n, std::vector(n, false)); + for (std::size_t u = 0; u < n; ++u) { + reach[u][u] = true; + for (auto a = net.arc_offsets[u]; a < net.arc_offsets[u + 1]; ++a) { + if (st.residual()[static_cast(a)] > 0) reach[u][static_cast(net.arc_destinations[static_cast(a)])] = true; + } + } + for (std::size_t k = 0; k < n; ++k) for (std::size_t u = 0; u < n; ++u) for (std::size_t v = 0; v < n; ++v) { + reach[u][v] = reach[u][v] || (reach[u][k] && reach[k][v]); + } + const auto flows = st.edge_flows(); + std::vector expected(got.size(), 0); + for (std::size_t k = 0; k < net.edges.size(); ++k) { + const auto e = static_cast(net.edges[k]); + const auto a = static_cast(net.edge_forward_arcs[k]); + const auto u = static_cast(net.edge_sources[k]); + const auto v = static_cast(net.edge_destinations[k]); + expected[e] = flows[e] > 0 && st.residual()[a] == 0 && !reach[u][v]; + classified += expected[e] != 0; + bypassed += flows[e] > 0 && expected[e] == 0; + zero += flows[e] == 0; + if (got[e]) EXPECT_EQ(st.value() - fresh_without(c, net.edges[k]).flow_value, flows[e]); + } + EXPECT_EQ(got, expected) << trial; + if (trial == 0) { + EXPECT_EQ(got[0], 0); // s0 -> s* -> s1 -> a is a positive-residual bypass + EXPECT_EQ(st.value() - fresh_without(c, 0).flow_value, 0); + } + } + EXPECT_GT(classified, 50); + EXPECT_GT(bypassed, 10); + EXPECT_GT(zero, 50); +} + +TEST(FlowCoreDeletion, ScalarLossPreservesMaximumGuardAndIndependentResets) { + const Case c = make_case(3, {{0, 1, 3, 1}, {1, 2, 3, 2}, {1, 2, 1, 5}}, {0}, {2}); + const auto req = capture_of(c); + const auto saved = req.state->edge_flows(); + DeletionResolver resolver(*req.state); + const auto ids = id_of_input(*c.g); + for (EdgeId e : {ids[1], ids[0], ids[1], ids[0]}) { + EXPECT_EQ(resolver.loss(e), e == ids[1] ? 2 : 3); + EXPECT_EQ(req.state->edge_flows(), saved); + EXPECT_EQ(resolver.resolve(e).value, fresh_without(c, e).flow_value); + } + for (EdgeId e : {ids[2], static_cast(c.g->num_edges())}) { + EXPECT_EQ(error_of([&] { (void)resolver.loss(e); }), error_of([&] { (void)resolver.resolve(e); })); + } + Case capped = make_case(2, {{0, 1, 1, 1}, {0, 1, 2, 2}}, {0}, {1}); + capped.cap = 1; + const auto cap = capture_of(capped); + ASSERT_FALSE(cap.state->maximum()); + DeletionResolver cap_resolver(*cap.state); + EXPECT_EQ(error_of([&] { (void)cap_resolver.loss(0); }), error_of([&] { (void)cap_resolver.resolve(0); })); + EXPECT_THROW((void)detail::deletion_cut_edges(*cap.state), std::invalid_argument); + EXPECT_THROW((void)detail::deletion_cut_edges(DeletionState {}), std::invalid_argument); + const Case parallel = make_case(2, {{0, 1, 2, 1}, {0, 1, 2, 5}}, {0}, {1}); + for (Amount offer : {0, 1, 5}) for (std::int32_t workers : {1, 2}) { + EvaluationOptions options {global_config(), nullptr, nullptr, OutputOptions {true, true, true, true, true}}; + options.offer = std::optional(offer); + const auto got = evaluate_edge_failures(*parallel.g, parallel.sources, parallel.destinations, options, workers); + expect_same(got.baseline, evaluate_demand(*parallel.g, parallel.sources, parallel.destinations, options), "finite baseline"); + EXPECT_EQ(got.baseline.call_delivered, std::min(offer, 4)); + ASSERT_EQ(got.entries.size(), offer == 0 ? 0U : offer == 1 ? 1U : 2U); + for (std::size_t i = 0; i < got.entries.size(); ++i) { + EXPECT_EQ(got.entries[i].edge, static_cast(i)); + EXPECT_EQ(got.entries[i].delivery_reduction, offer == 5 ? 2 : 0); + } + } +} + +TEST(FlowCoreDeletion, ScalarRepairStopsBeforeCancellation) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + const Case c = make_case(3, {{0, 1, 3, 1}, {1, 2, 3, 2}, {1, 2, 1, 5}}, {0}, {2}); + const auto req = capture_of(c); + DeletionResolver resolver(*req.state); + const auto e = id_of_input(*c.g)[1]; + std::vector stages; + detail::DeletionProbe probe; + probe.observe = [&](const detail::DeletionEvent& event) { stages.push_back(event.repair); }; + EXPECT_EQ(resolver.loss(e, probe), 2); + EXPECT_FALSE(stages.empty()); + EXPECT_NE(std::find(stages.begin(), stages.end(), 1), stages.end()); + for (int stage : stages) EXPECT_LE(stage, 1); + // The same underlying repair engine's full mode must still do both cancellations. + stages.clear(); + EXPECT_EQ(resolver.resolve(e, probe).value, 1); + EXPECT_NE(std::find(stages.begin(), stages.end(), 2), stages.end()); + EXPECT_NE(std::find(stages.begin(), stages.end(), 3), stages.end()); + EXPECT_NE(std::find(stages.begin(), stages.end(), 4), stages.end()); +#else + GTEST_SKIP() << "intermediate repair observation requires private hooks"; +#endif +} + +TEST(FlowCoreDeletion, CutClassificationHandlesALongResidualChainWithoutRecursion) { + constexpr NodeId links = 1000000; + std::vector edges; + edges.reserve(static_cast(links)); + // Saturation leaves reverse residual arcs 0 -> 1 -> ... -> links. Starting + // at vertex 0 must descend the entire chain, regardless of component order. + for (NodeId v = 0; v < links; ++v) edges.push_back({v + 1, v, 1, 1}); + const Case c = make_case(links + 1, edges, {links}, {0}); + const auto req = capture_of(c); + const auto cut = detail::deletion_cut_edges(*req.state); + ASSERT_EQ(cut.size(), edges.size()); + EXPECT_EQ(std::count(cut.begin(), cut.end(), 1), static_cast(edges.size())); +} + +TEST(Sensitivity, ShortcutControlsPreserveEveryFieldAndClassifyCuts) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + const Case c = make_case(5, {{0, 1, 3, 1}, {0, 2, 3, 3}, {1, 3, 3, 1}, {2, 3, 3, 1}, {3, 4, 3, 1}}, {0}, {4}); + const EvaluationOptions options {global_config(), nullptr, nullptr, OutputOptions {true, true, true, true, true}}; + detail::SensitivityProbe full; + full.full_repair = true; + const auto reference = [&] { + detail::ScopedSensitivityProbe control(&full); + return evaluate_edge_failures(*c.g, c.sources, c.destinations, options, 1); + }(); + ASSERT_EQ(reference.entries.size(), 3U); + ASSERT_EQ(reference.baseline.call_delivered, 3); + const std::vector expected_edges {0, 2, 4}; + const std::vector expected_losses {0, 0, 3}; + using Work = detail::SensitivityWork; + for (int mode = 0; mode < 3; ++mode) for (std::int32_t workers : {1, 2, 4}) { + std::vector seen(static_cast(c.g->num_edges()), -1); + detail::SensitivityProbe probe; + probe.cut_edges = mode != 1; + probe.full_repair = mode == 2; + probe.context = &seen; + probe.observe = [](void* context, EdgeId e, Work work) { + (*static_cast*>(context))[static_cast(e)] = static_cast(work); + }; + detail::ScopedSensitivityProbe control(&probe); + const auto got = evaluate_edge_failures(*c.g, c.sources, c.destinations, options, workers); + expect_same(got.baseline, reference.baseline, "edge-failure full baseline"); + ASSERT_EQ(got.entries.size(), expected_edges.size()); + for (std::size_t i = 0; i < got.entries.size(); ++i) { + EXPECT_EQ(got.entries[i].edge, expected_edges[i]); + EXPECT_EQ(got.entries[i].delivery_reduction, expected_losses[i]); + } + if (workers == 1 && mode == 0) { + EXPECT_EQ(seen[0], static_cast(Work::FirstRepair)); + EXPECT_EQ(seen[2], static_cast(Work::FirstRepair)); + EXPECT_EQ(seen[4], static_cast(Work::Cut)); + } + if (mode == 2) for (EdgeId e : expected_edges) EXPECT_EQ(seen[static_cast(e)], static_cast(Work::FullRepair)); + if (mode == 1) for (int work : seen) EXPECT_NE(work, static_cast(Work::Cut)); + } +#else + GTEST_SKIP() << "edge-failure shortcut controls require private hooks"; +#endif +} diff --git a/tests/cpp/search_fault_tests.cpp b/tests/cpp/search_fault_tests.cpp index b11f044..90299ab 100644 --- a/tests/cpp/search_fault_tests.cpp +++ b/tests/cpp/search_fault_tests.cpp @@ -243,6 +243,17 @@ TEST(SearchFaults, KspAndTheResolverFailCleanly) { const auto want_expand = ksp_of(expand); const auto want_collapse = ksp_of(collapse); ASSERT_GE(want_expand.size(), 3U); + ASSERT_GE(want_collapse.size(), 3U); + // Every later path has a nonzero deviation after a long prefix. Retry must reset + // the skipped prefix's flags and scores as well as the first complete expansion. + std::vector prefix_rows; + for (NodeId v = 0; v < 40; ++v) prefix_rows.push_back({v, v + 1, 1, 1}); + for (Cost c = 1; c <= 8; ++c) prefix_rows.push_back({40, 41, c, c}); + const auto prefix_graph = make_graph(42, prefix_rows); + KspOptions prefix_options(8); + prefix_options.tie_break = RouteTieBreak::HigherCapacity; + const auto want_prefix = ksp(prefix_graph, 0, 41, prefix_options); + ASSERT_EQ(want_prefix.size(), 8U); // Layers 0 -> {1..5} -> {6..10} -> 59 with a parallel pair 10 -> 59: 25 equal shortest node // walks, 30 when the pair is split into its members (the resolver below splits and keeps 7). std::vector layered; @@ -256,7 +267,7 @@ TEST(SearchFaults, KspAndTheResolverFailCleanly) { SpfOptions full(Direction::Forward); const auto dag = spf(unit, std::vector {0}, full).dag; const auto want_paths = resolve_to_paths(unit, dag, 0, 59, true, 7); - ASSERT_GE(want_paths.size(), 2U); + ASSERT_EQ(want_paths.size(), 7U); auto same = [](const std::vector>& a, const std::vector>& b) { if (a.size() != b.size()) return false; for (std::size_t i = 0; i < a.size(); ++i) { @@ -277,6 +288,7 @@ TEST(SearchFaults, KspAndTheResolverFailCleanly) { std::vector> calls = { [&] { EXPECT_TRUE(same(ksp_of(expand), want_expand)); }, [&] { EXPECT_TRUE(same(ksp_of(collapse), want_collapse)); }, + [&] { EXPECT_TRUE(same(ksp(prefix_graph, 0, 41, prefix_options), want_prefix)); }, [&] { const auto got = resolve_to_paths(unit, dag, 0, 59, true, 7); ASSERT_EQ(got.size(), want_paths.size()); @@ -296,6 +308,30 @@ TEST(SearchFaults, KspAndTheResolverFailCleanly) { } EXPECT_GE(failures - harness, 60) << "call " << c; // beyond the thread's own allocations } + // Separate queries on already-grown TLS: once after a two-node warm-up (the next + // query grows it again), once after every full query has warmed all reusable buffers. + // Arm the fail point only after warming, and retry every query on that same thread. + const auto tiny = make_graph(2, {{0, 1, 1, 1}}); + const std::function nothing = [] {}; + for (int warm = 0; warm < 2; ++warm) for (std::size_t c = 0; c < calls.size(); ++c) { + long failures = 0; + for (long k = 0;; ++k) { + const long live = g_live.load(); + bool hit = false; + in_fresh_thread([&] { + if (warm == 0) (void)ksp(tiny, 0, 1, KspOptions(1)); + else every(); + hit = fails_at(k, calls[c]); + every(); + }, nothing); + EXPECT_EQ(g_live.load(), live) << "warm " << warm << " call " << c << " allocation " << k; + if (!hit) break; + ++failures; + } + // Every call returns at least three Paths: their hops/nodes plus the result list + // alone exceed ten allocations, independently of retained workspace capacity. + EXPECT_GE(failures, 10) << "warm " << warm << " call " << c; + } } TEST(SearchFaults, ResultComparisonRejectsEveryField) { diff --git a/tests/py/removed_names_reviewed.txt b/tests/py/removed_names_reviewed.txt index cce89b0..5e87bf3 100644 --- a/tests/py/removed_names_reviewed.txt +++ b/tests/py/removed_names_reviewed.txt @@ -90,18 +90,15 @@ code:tests/py/tunnel_oracle.py | priority | priority | the oracle's tie score of dev/perf/aba.py | selection | row, and a selection has at least one (``choose_rows``). | the timing tool's row selection (--rows) dev/perf/aba.py | selection | selection, ``--iters`` (the pins) and the report's start. Re | the timing tool's row selection (--rows) dev/perf/aba.py | selection | their groups it did not, and per group the rows the whole se | the timing tool's row selection (--rows) -dev/perf/aba_api.hpp | dst | * ksp (ksp.fabric3_k8): ksp(g, src, dst, KspOptions(k)) (FEW | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) dev/perf/aba_api.hpp | dst | * spf_dag (spf.dag.*): spf(g, {src}, Forward, targets {dst}) | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) dev/perf/aba_api.hpp | dst | * spf_path (spf.single.canonical16k): spf(g, {src}, Forward, | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) dev/perf/aba_api.hpp | dst | * spf_to (spf.to.random16k): spf(g, {dst}, Reverse, no targe | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) dev/perf/aba_api.hpp | dst | One demand's program: the optimized CentralizedTE solve of ` | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) -dev/perf/aba_api.hpp | g | * ksp (ksp.fabric3_k8): ksp(g, src, dst, KspOptions(k)) (FEW | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) dev/perf/aba_api.hpp | g | * spf_dag (spf.dag.*): spf(g, {src}, Forward, targets {dst}) | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) dev/perf/aba_api.hpp | g | * spf_path (spf.single.canonical16k): spf(g, {src}, Forward, | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) dev/perf/aba_api.hpp | g | * spf_to (spf.to.random16k): spf(g, {dst}, Reverse, no targe | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) dev/perf/aba_api.hpp | g | The queue a search with the default queue (Auto) takes on g: | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) dev/perf/aba_api.hpp | g | spf(g, {src}, Forward, no targets), the default route choice | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) -dev/perf/aba_api.hpp | src | * ksp (ksp.fabric3_k8): ksp(g, src, dst, KspOptions(k)) (FEW | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) dev/perf/aba_api.hpp | src | * spf_dag (spf.dag.*): spf(g, {src}, Forward, targets {dst}) | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) dev/perf/aba_api.hpp | src | * spf_path (spf.single.canonical16k): spf(g, {src}, Forward, | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) dev/perf/aba_api.hpp | src | One demand's program: the optimized CentralizedTE solve of ` | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) @@ -295,10 +292,6 @@ docs/semantics.md | weights | value does not expose per-router effective weights docs/semantics.md | weights | weights), and forwards it hop by hop on the free capacity: e | WEIGHTED's member weights docs/semantics.md | weights | route allocation | a table column: the weight options of the models evaluate_edge_failures | placed | (NGRAPH_CORE_SENSITIVITY_THREADS). Only ShortestPaths reads | traffic placed (delivered) on a ledger -include/netgraph/core/detail/min_cost_flow.hpp | allocated | keeps it alive); the working storage is the resolver's own, | allocated memory, storage or amounts -include/netgraph/core/detail/min_cost_flow.hpp | f_e | repairs the state by three fixed-origin repairs (u -> v for | a math symbol of the comment's formula -include/netgraph/core/detail/min_cost_flow.hpp | f_e | residuals and potentials from that copy, deletes a real arc | a math symbol of the comment's formula -include/netgraph/core/detail/min_cost_flow.hpp | origin | repairs the state by three fixed-origin repairs (u -> v for | the origin of a search or a repair include/netgraph/core/detail/min_cost_flow.hpp | own_i | The solve on an edge subset (the Optimized kernel's replacem | a math symbol of the comment's formula include/netgraph/core/detail/min_cost_flow.hpp | placed | reroute flow already placed, so the pairs are not the costs | traffic placed (delivered) on a ledger include/netgraph/core/detail/min_cost_flow.hpp | sensitivity | Optimized uses an edge subset; exact sensitivity repairs a s | sensitivity analysis, or the env var NGRAPH_CORE_SENSITIVITY_THREADS @@ -499,7 +492,8 @@ dev/perf/README.md | placement | | `kernel` | `kernel.{proportional,eb,lossy}.cl dev/perf/README.md | selection | groups it did not, and per group the rows the whole selectio | the timing tool's row selection (--rows) dev/perf/README.md | selection | memory rule's boundary, the bootstrap interval, the cluster | the timing tool's row selection (--rows) dev/perf/README.md | selection | the side, mode and row when it comes from a block. A refusal | the timing tool's row selection (--rows) -dev/perf/README.md | sensitivity | | `sensitivity` | `sens.exact`, `sens.policy_all_edges`, `se | a timing row's frozen group or description (the tool keeps row names) +dev/perf/README.md | sensitivity | exact-model sensitivity; policy-model loss for every eligible edge | timing group and ordinary description of the current edge-failure analysis +dev/perf/README.md | sensitivity | sens.exact.{cut,partial,branch,reroute,capped} | timing group and ordinary description of the current edge-failure analysis dev/perf/README.md | src | `OUT_DIR/src`, so a second attempt needs another or an empti | a directory or a sort key named src, or a path component dev/perf/README.md | src | `OUT_DIR/src`. `REV` is required (there is no default refere | a directory or a sort key named src, or a path component dev/perf/README.md | tunnels | | `t1` | `t1.setup.fabric`, `t1.forward.fabric` | T1 with 16 | a model's tunnels (ForwardingProgram.tunnels is the current name) diff --git a/tests/py/test_evaluators.py b/tests/py/test_evaluators.py index 5920b92..7fe1c97 100644 --- a/tests/py/test_evaluators.py +++ b/tests/py/test_evaluators.py @@ -10,7 +10,7 @@ import numpy as np import pytest -from helpers import build, exact +from helpers import build, exact, plain import netgraph_core as ngc @@ -21,6 +21,130 @@ LY = ngc.Admission.LOSSY T = ngc.Termination L62 = 1 << 62 + + +@pytest.mark.parametrize("workers", [1, 2, 4]) +@pytest.mark.parametrize("bits", range(32)) +def test_optimized_deletion_shortcuts_keep_complete_results(workers, bits): + fixtures = [ + ( + 5, + [(0, 1, 3, 1), (0, 2, 3, 3), (1, 3, 3, 1), (2, 3, 3, 1), (3, 4, 3, 1)], + [0], + [4], + 3, + 9, + [(0, 0), (2, 0), (4, 3)], + ), + ( + 3, + [(0, 1, 3, 1), (1, 2, 3, 2), (1, 2, 1, 5)], + [0], + [2], + 3, + 9, + [(0, 3), (1, 2)], + ), + (3, [(0, 1, 2, 1), (1, 2, 2, 3)], [0], [2], 2, 8, [(0, 2), (1, 2)]), + ( + 4, + [(0, 2, 1, 1), (1, 2, 1, 2), (2, 3, 1, 1)], + [0, 1], + [3], + 1, + 2, + [(0, 0), (2, 1)], + ), + ( + 3, + [(0, 1, 3, 1), (1, 0, 1, 7), (1, 1, 1, 9), (1, 2, 3, 2), (1, 2, 1, 5)], + [0], + [2], + 3, + 9, + [(0, 3), (3, 2)], + ), + ] + outputs = ngc.OutputOptions( + edge_flows=bool(bits & 1), + residual=bool(bits & 2), + saturated_boundary_edges=bool(bits & 4), + min_cut=bool(bits & 8), + edge_reservations=bool(bits & 16), + ) + model = ngc.CentralizedTE(source_allocation=S.OPTIMIZED) + for n, edges, sources, destinations, value, cost, reductions in fixtures: + g = build(n, edges) + options = opts(model, outputs=outputs) + got = ngc.evaluate_edge_failures(g, sources, destinations, options, workers) + baseline = ngc.evaluate_demand(g, sources, destinations, options) + assert plain(got.baseline) == plain(baseline) + assert (got.baseline.call_delivered, got.baseline.total_cost) == (value, cost) + by_input = dict(reductions) + expected = [ + (e, by_input[int(position)]) + for e, position in enumerate(g.input_positions()) + if int(position) in by_input + ] + assert [ + (entry.edge, entry.delivery_reduction) for entry in got.entries + ] == expected + for entry in got.entries: + without = opts( + model, + eligibility=g.eligibility(excluded_edges=[entry.edge]), + outputs=outputs, + ) + fresh = ngc.evaluate_demand(g, sources, destinations, without) + assert entry.delivery_reduction == value - fresh.call_delivered + if fresh.edge_flows is not None: + caps = list(g.edge_capacity_units()) + flows = list(fresh.edge_flows) + assert all( + 0 <= flow <= cap for flow, cap in zip(flows, caps, strict=True) + ) + + +def test_optimized_deletion_shortcuts_masks_finite_zero_and_wide_cost(): + model = ngc.CentralizedTE(source_allocation=S.OPTIMIZED) + outputs = ngc.OutputOptions( + edge_flows=True, + residual=True, + min_cut=True, + saturated_boundary_edges=True, + edge_reservations=True, + ) + g = build(3, [(0, 1, 3, 1), (1, 2, 3, 2), (1, 2, 1, 5)]) + for eligibility in [ + None, + g.eligibility(excluded_edges=[2]), + g.eligibility(excluded_nodes=[1]), + ]: + for offer in [None, 0, 1, 3, 4]: + options = opts(model, eligibility=eligibility, outputs=outputs, offer=offer) + for workers in [1, 2]: + got = ngc.evaluate_edge_failures(g, [0], [2], options, workers) + assert plain(got.baseline) == plain( + ngc.evaluate_demand(g, [0], [2], options) + ) + for entry in got.entries: + deleted = g.eligibility(excluded_edges=[entry.edge]) + if eligibility is not None: + deleted = ngc.Eligibility.intersect(eligibility, deleted) + fresh = ngc.evaluate_demand( + g, [0], [2], opts(model, eligibility=deleted, offer=offer) + ) + assert ( + entry.delivery_reduction + == got.baseline.call_delivered - fresh.call_delivered + ) + amount = (1 << 32) + 1 + wide = build(2, [(0, 1, amount, amount)]) + got = ngc.evaluate_edge_failures(wide, 0, 1, opts(model, outputs=outputs), 2) + assert got.baseline.total_cost == (1 << 64) + (1 << 33) + 1 + assert [(e.edge, e.delivery_reduction) for e in got.entries] == [(0, amount)] + + DOMAIN = "offer must be an integer in [0, 2^62)" diff --git a/tests/py/test_ksp.py b/tests/py/test_ksp.py index e76e79a..4c7a1e3 100644 --- a/tests/py/test_ksp.py +++ b/tests/py/test_ksp.py @@ -15,6 +15,7 @@ assert_read_only, build, exact, + plain, sweep_python_allocation, ) from private_hooks import needs_hooks @@ -37,6 +38,97 @@ def ksp(g, s, t, k, *, parallel_edges=True, tie=FEWER, **kw): ) +@pytest.mark.parametrize( + "n,rows,target,tie,residual,costs,walks", + [ + ( + 6, + [ + (0, 1, 5, 1), + (0, 4, 5, 5), + (1, 2, 5, 1), + (1, 3, 5, 2), + (1, 5, 5, 2), + (2, 1, 5, 1), + (2, 4, 5, 2), + (3, 4, 5, 1), + (5, 4, 5, 1), + ], + 4, + FEWER, + None, + [4, 4, 4, 5], + [[0, 2, 6], [0, 3, 7], [0, 4, 8], [1]], + ), + ( + 3, + [(0, 1, 1, 1), (1, 2, 1, 1), (1, 2, 1, 2), (1, 2, 2, 3), (1, 2, 3, 3)], + 2, + HIGHER_CAP, + None, + [2, 3, 4, 4], + [[0, 1], [0, 2], [0, 3], [0, 4]], + ), + ( + 6, + [ + (0, 1, 5, 1), + (1, 2, 5, 1), + (1, 4, 5, 1), + (2, 3, 5, 1), + (2, 5, 5, 1), + (3, 1, 5, 1), + (3, 5, 5, 2), + (4, 5, 5, 1), + ], + 5, + FEWER, + None, + [3, 3, 5], + [[0, 1, 4], [0, 2, 7], [0, 1, 3, 6]], + ), + ( + 4, + [ + (0, 1, 1, 1), + (0, 2, 2**54 + 1, 1), + (1, 3, 1, 1), + (1, 3, 2**54, 2), + (2, 3, 1, 2), + ], + 3, + ngc.RouteTieBreak.HIGHER_HEADROOM, + [1, 2**54, 1, 2**54 - 1, 1], + [2, 3, 3], + [[0, 2], [1, 4], [0, 3]], + ), + ], +) +def test_nonzero_deviation_keeps_the_whole_prefix( + n, rows, target, tie, residual, costs, walks +): + g = bgraph(n, rows) + want = [ + [c, [0, target, [[e] for e in walk], c]] + for c, walk in zip(costs, walks, strict=True) + ] + assert plain(ksp(g, 0, target, 8, tie=tie, residual=residual)) == want + assert plain(ksp(g, 0, target, 1, tie=tie, residual=residual)) == want[:1] + # A later nonzero deviation must retain the complete prefix cost at a ceiling. + bound = costs[1] + assert plain( + ksp( + g, + 0, + target, + 8, + tie=tie, + residual=residual, + cost_ceiling=ngc.AbsoluteCost(bound), + ) + ) == [p for p in want if p[0] <= bound] + + def test_order_and_ceilings(): g = bgraph(4, CHAIN) got = ksp(g, 0, 3, 8) From 81fc0a3e3b49296e56432cd57e2543792c622e91 Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Wed, 21 Oct 2026 12:46:01 +0100 Subject: [PATCH 26/39] Timing harness: function alignment on both sides The A/B/A harness builds now use -falign-functions=64 on the reference and the candidate, so code placement moves timings less (global.equal.random's spread between two layouts of the same source fell from 3.5 % to 0.1 %). Wheel build flags are unchanged. Step 8 measured, and did not adopt, reuse across failure states and Global solver structure (below the 10 % profile trigger), PGO (gains under 5 %, held-out rows slower) and -march=native. Co-Authored-By: Claude Opus 5.5 --- CHANGELOG.md | 2 ++ dev/perf/README.md | 8 ++++++-- dev/perf/build.sh | 2 +- dev/perf/test_tool.py | 12 ++++++++++++ 4 files changed, 21 insertions(+), 3 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index f2e470a..be109f2 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -36,6 +36,8 @@ API. ### Changed +- **Performance tooling**: A/B/A harness builds use 64-byte function alignment on both the + reference and candidate to reduce timing variation due to code placement. Wheel build flags are unchanged. - **Exact sensitivity**: unrestricted optimized `CentralizedTE` with a maximum baseline uses residual-component certificates, or stops a deletion repair when its scalar loss is known. The complete baseline, candidate order and reductions are preserved; diff --git a/dev/perf/README.md b/dev/perf/README.md index 6e47f4a..82f237c 100644 --- a/dev/perf/README.md +++ b/dev/perf/README.md @@ -89,14 +89,18 @@ and `src/` with their uncommitted changes; a git revision is extracted with `git `OUT_DIR/src`. `REV` is required (there is no default reference), and a revision git does not know is refused. `OUT_DIR` must be absent or empty; it receives `harness` and the build record `harness.json`. The compiler is `clang++` from `PATH` with the first `flags=(...)` line of -`build.sh` (`-std=c++20 -O3 -DNDEBUG -funroll-loops -fno-math-errno -fno-trapping-math -Wall --Wextra`). `CXX` overrides the compiler; on macOS a set `CXX` also gets `-isysroot "$(xcrun +`build.sh` (`-std=c++20 -O3 -DNDEBUG -funroll-loops -fno-math-errno -fno-trapping-math +-falign-functions=64 -Wall -Wextra`). `CXX` overrides the compiler; on macOS a set `CXX` also gets `-isysroot "$(xcrun --show-sdk-path)"` (a toolchain compiler such as `$(xcrun --find clang++)` finds no system headers without it), and a set `CXX` without an SDK is refused. A refusal exits 2. A failed compile exits with the compiler's status, and a failure while the build record is written exits non-zero; either leaves neither `harness` nor `harness.json` (a revision's extracted sources stay in `OUT_DIR/src`, so a second attempt needs another or an emptied `OUT_DIR`). +Function alignment reduces timing variation due to code placement. Build both sides with +the same flags. The script enables neither `-march=native` nor PGO. These harness flags do not +change the package wheels' Release flags. + ### Build records `harness.json` names everything that changes the binary's bytes: diff --git a/dev/perf/build.sh b/dev/perf/build.sh index e506de3..a3af25c 100755 --- a/dev/perf/build.sh +++ b/dev/perf/build.sh @@ -15,7 +15,7 @@ # -isysroot "$(xcrun --show-sdk-path)" (a toolchain compiler such as "$(xcrun --find clang++)" # finds no system headers without it), and a set CXX without an SDK is refused. set -euo pipefail -flags=(-std=c++20 -O3 -DNDEBUG -funroll-loops -fno-math-errno -fno-trapping-math -Wall -Wextra) +flags=(-std=c++20 -O3 -DNDEBUG -funroll-loops -fno-math-errno -fno-trapping-math -falign-functions=64 -Wall -Wextra) [ $# -eq 2 ] && [ -n "$1" ] && [ -n "$2" ] || { echo "usage: build.sh REV|worktree OUT_DIR" >&2; exit 2; } rev=$1 out=$2 diff --git a/dev/perf/test_tool.py b/dev/perf/test_tool.py index 9305af3..3ff04fd 100644 --- a/dev/perf/test_tool.py +++ b/dev/perf/test_tool.py @@ -2734,6 +2734,18 @@ def build(self, *args: str, **env: str) -> subprocess.CompletedProcess: def record(self, out: Path) -> dict: return json.loads((out / "harness.json").read_text()) + def test_function_alignment_on_both_sides(self): + # Check the actual compiler arguments and record independently of self.flags, which + # is parsed from build.sh and would otherwise accept an accidentally removed flag. + for rev, name in (("worktree", "aligned-worktree"), (self.base, "aligned-ref")): + with self.subTest(rev=rev): + proc = self.build(rev, name) + self.assertEqual(proc.returncode, 0, proc.stderr) + argv = self.log.read_text().splitlines() + self.assertEqual(argv.count("-falign-functions=64"), 1) + recorded = self.record(self.top / name)["flags"].split() + self.assertEqual(recorded.count("-falign-functions=64"), 1) + def test_refusals(self): for args, why in ( ((), "usage: build.sh REV|worktree OUT_DIR"), From fc0710289013ae0249d87194b24bc5d2d2cbee2c Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Wed, 21 Oct 2026 16:44:27 +0100 Subject: [PATCH 27/39] Fixes from the step-8 milestone audit Two crashes at legal limits are gone: an integer NumPy array whose cast runs out of memory now raises MemoryError, and pooled forwarding keeps its head-label offsets at full width. The Windows test build compiles again, ThreadSanitizer runs in CI, and the failure-test comparator checks every result field. One sparse-vector helper and one weight converter replace their copies, a dead trace variant is removed and internal names follow the glossary. Documents, docstrings and stub signatures now say what the code does. Results do not change. Co-Authored-By: Claude Opus 5.5 --- .github/workflows/tests.yml | 16 + CHANGELOG.md | 6 + bindings/python/flow_policy.cpp | 20 +- bindings/python/forwarding_program.cpp | 41 ++- bindings/python/hooks.cpp | 11 +- bindings/python/integers.hpp | 11 +- bindings/python/module.cpp | 6 +- bindings/python/numpy_conversion.hpp | 33 ++ bindings/python/path.cpp | 3 +- bindings/python/path_enumeration.cpp | 3 +- bindings/python/predecessor_dag.cpp | 3 +- bindings/python/strict_float.hpp | 8 +- bindings/python/trace.hpp | 1 - bindings/python/units.cpp | 2 +- dev/perf/README.md | 2 +- dev/perf/aba_api.hpp | 8 +- dev/perf/aba_rows.hpp | 16 +- dev/pytest_guard.py | 15 +- dev/stubs/overrides.pyi | 10 +- docs/semantics.md | 16 +- include/netgraph/core/detail/forwarding.hpp | 4 + include/netgraph/core/detail/sparse.hpp | 23 ++ include/netgraph/core/detail/trace.hpp | 9 +- python/netgraph_core/__init__.pyi | 19 +- src/evaluators.cpp | 8 +- src/flow_policy.cpp | 35 +-- src/forwarding.cpp | 23 +- tests/cpp/apply_actions_tests.cpp | 4 +- tests/cpp/contract_examples_tests.cpp | 4 +- tests/cpp/distributed_te_tests.cpp | 14 +- tests/cpp/flow_ledger_fault_tests.cpp | 66 +++- tests/cpp/flow_ledger_tests.cpp | 2 +- tests/cpp/flow_policy_fault_tests.cpp | 52 ++-- tests/cpp/flow_policy_fixture_tests.cpp | 7 +- tests/cpp/flow_policy_tests.cpp | 58 ++-- tests/cpp/graph_concurrency_tests.cpp | 2 +- tests/cpp/joint_forwarding_tests.cpp | 39 +++ tests/cpp/pooled_source_allocation_tests.cpp | 124 ++++---- tests/cpp/program_tests.cpp | 126 ++++---- tests/cpp/shortest_path_cache_tests.cpp | 32 +- tests/cpp/shortest_paths_creation_tests.cpp | 14 +- tests/cpp/state_comparators.hpp | 8 +- tests/cpp/test_utils.hpp | 2 +- tests/cpp/zero_capacity_tests.cpp | 18 +- tests/py/helpers.py | 2 +- tests/py/removed_names_reviewed.txt | 10 +- tests/py/test_apply_actions.py | 4 +- tests/py/test_centralized_te_tunnels.py | 6 +- tests/py/test_contract_examples.py | 2 +- tests/py/test_distributed_te.py | 17 +- tests/py/test_flow_ledger.py | 8 +- tests/py/test_flow_policy.py | 64 ++-- tests/py/test_flow_policy_fixtures.py | 6 +- tests/py/test_integer_array_allocation.py | 305 +++++++++++++++++++ tests/py/test_ledger_projections.py | 6 +- tests/py/test_native_allocation.py | 18 +- tests/py/test_programs.py | 119 ++++---- tests/py/test_shortest_path_cache.py | 61 ++-- tests/py/test_source_allocation.py | 78 ++--- tests/py/test_units.py | 2 +- tests/py/test_zero_capacity.py | 20 +- tests/typing/invalid_client.py | 25 ++ tests/typing/valid_client.py | 6 + 63 files changed, 1115 insertions(+), 568 deletions(-) create mode 100644 bindings/python/numpy_conversion.hpp create mode 100644 include/netgraph/core/detail/sparse.hpp create mode 100644 tests/py/test_integer_array_allocation.py diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index fc3cc36..c7dd2a6 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -121,6 +121,22 @@ jobs: - name: C++ tests under AddressSanitizer and UndefinedBehaviorSanitizer run: bash dev/cpp-tests.sh sanitize + thread-sanitizer: + name: C++ tests (macOS, ThreadSanitizer) + runs-on: macos-15 + timeout-minutes: 30 + steps: + - uses: actions/checkout@v4 + - uses: actions/setup-python@v5 + with: + python-version: "3.12" + - name: Install build tools + run: | + python -m pip install -U -c .github/ci-constraints.txt pip + python -m pip install -c .github/ci-constraints.txt cmake ninja + - name: C++ tests under ThreadSanitizer + run: bash dev/cpp-tests.sh tsan + # The generated type stub python/netgraph_core/__init__.pyi (make stubs-check): no drift from a # fresh generation out of a wheel of this commit, the stub and py.typed in the wheel and the # sdist, and the typed clients of tests/typing (valid: no diagnostic; invalid: exactly the diff --git a/CHANGELOG.md b/CHANGELOG.md index be109f2..cdf062b 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -200,6 +200,8 @@ API. canonical unit-by-unit augmentation; tunnels in round order with identifier `j * H + i` (dead heads leave holes), weight 1, `planned_bandwidth` u, never held. `TunnelCount(L, up_to=True)` chooses the smallest common count up to L whose program carries the live part of the design. + If no count carries that share, it chooses the greatest score, then the smallest count; this does + not promise whole-demand delivery. No live head, or no whole unit per tunnel (`insufficient_resolution`), installs a program without tunnels that keeps the roster. `OPTIMIZED` source allocation only with one input source. With a `support`, T2 uses only the support's edges allowed by the policy's mask, in every step, @@ -334,6 +336,10 @@ API. ### Removed +Planned names superseded before implementation (these were never released APIs): +`ListMode` became `BatchMode`, `place_many` became `apply_actions`, +`Place.__init__:volume` became `Place.__init__:offer`, and `Place.volume` became `Place.offer`. + - The 0.11 library and its bindings: `FlowState`, the previous `FlowGraph` and `FlowPolicy` and their configuration, the backend and algorithms facade (with its `Graph` handle), the search entry points (`shortest_paths`, `shortest_paths_to`, `spf_dag`, `spf_to`, `k_shortest_paths` diff --git a/bindings/python/flow_policy.cpp b/bindings/python/flow_policy.cpp index 6a18cf6..a0d35ca 100644 --- a/bindings/python/flow_policy.cpp +++ b/bindings/python/flow_policy.cpp @@ -95,17 +95,17 @@ py::dict state_obj(const py::object& self) { Counter128 requested; bool infinite; Amount delivered {0}; - std::vector> cohorts; + std::vector> record_groups; }; auto snapshot = native_call([&] { const auto gate = detail::LedgerAccess::lock(pe.ledger); Snapshot state {pe.reachable_sources, pe.epoch.requested, pe.epoch.infinite, 0, {}}; - state.cohorts.resize(pe.epoch.record_groups.size()); - for (std::size_t i = 0; i < state.cohorts.size(); ++i) { + state.record_groups.resize(pe.epoch.record_groups.size()); + for (std::size_t i = 0; i < state.record_groups.size(); ++i) { for (const auto& flow : pe.epoch.record_groups[i]) { auto record = detail::LedgerAccess::live(pe.ledger, flow.record_counter); state.delivered += record.delivered; - state.cohorts[i].push_back({flow, std::move(record)}); + state.record_groups[i].push_back({flow, std::move(record)}); } } return state; @@ -117,14 +117,14 @@ py::dict state_obj(const py::object& self) { out["requested"] = counter_int(snapshot.requested); out["infinite"] = snapshot.infinite; out["placed_demand"] = snapshot.delivered; - py::dict cohorts; + py::dict record_groups; // Per roster source its flows (T1, T2 and Pinned: per program entry, keyed by its position). const auto* gl = std::get_if(&r); const bool per_entry = std::holds_alternative(r) || std::holds_alternative(r) || (gl != nullptr && gl->tunnel_count.has_value()); - for (std::size_t i = 0; i < snapshot.cohorts.size(); ++i) { + for (std::size_t i = 0; i < snapshot.record_groups.size(); ++i) { py::list flows; - for (const auto& row : snapshot.cohorts[i]) { + for (const auto& row : snapshot.record_groups[i]) { const auto& s = row.flow; const FlowRecord& rec = row.record; py::dict f; @@ -138,9 +138,9 @@ py::dict state_obj(const py::object& self) { f["entry"] = s.entry_id < 0 ? py::object(py::none()) : py::object(py::int_(s.entry_id)); flows.append(f); } - cohorts[py::int_(per_entry ? static_cast(i) : static_cast(snapshot.roster[i]))] = flows; + record_groups[py::int_(per_entry ? static_cast(i) : static_cast(snapshot.roster[i]))] = flows; } - out["cohorts"] = cohorts; + out["cohorts"] = record_groups; return out; } @@ -368,7 +368,7 @@ void register_flow_policy(py::module_& m) { py::arg("offer"), py::arg("outputs") = py::none(), "private: place() with the transaction's trace (the call's intermediate values, keyed as\n" "the tests' model of the policy keys them)") - .def("_state", &state_obj, "private: the epoch state (roster, requested, +inf, cohorts)") + .def("_state", &state_obj, "private: the epoch state (roster, requested, +inf, record_groups)") .def( "_owner", [](const py::object& self) { auto& p = policy_value(self); return detail::PolicyAccess::engine(p).policy_id; }, "private: the ledger-local owner id (FlowRecord.policy_id)"); diff --git a/bindings/python/forwarding_program.cpp b/bindings/python/forwarding_program.cpp index be55c67..b4cf71a 100644 --- a/bindings/python/forwarding_program.cpp +++ b/bindings/python/forwarding_program.cpp @@ -44,6 +44,17 @@ std::optional wide_or_none(const py::object& obj, const ch return wide_integers(obj, name); } +// Validate and narrow captured weights at the factory's weight-validation step. +std::vector checked_edge_weights(const CheckedIntegerVector& weights, std::size_t num_edges) { + if (weights.size() != num_edges) throw py::value_error("edge_weights: expected " + std::to_string(num_edges) + " entries"); + for (std::size_t e = 0; e < num_edges; ++e) { + if (!weights.in(e, 0, kDomainLimit - 1)) { + throw py::value_error("edge_weights[" + std::to_string(e) + "] must be an integer in [0, 2^62)"); + } + } + return weights.narrow(); +} + } // namespace void register_program(py::module_& m) { @@ -183,16 +194,7 @@ void register_program(py::module_& m) { RouteOptions options; options.allocation = allocation; options.weight_basis = weight_basis; - const auto E = static_cast(graph->num_edges()); - if (ew.has_value()) { - if (ew->size() != E) throw py::value_error("edge_weights: expected " + std::to_string(E) + " entries"); - for (std::size_t e = 0; e < E; ++e) { - if (!ew->in(e, 0, kDomainLimit - 1)) { - throw py::value_error("edge_weights[" + std::to_string(e) + "] must be an integer in [0, 2^62)"); - } - } - options.edge_weights = ew->narrow(); - } + if (ew.has_value()) options.edge_weights = checked_edge_weights(*ew, static_cast(graph->num_edges())); if (rw.has_value()) options.residual = edge_amounts(residual, *graph, "residual", "residual (units)").narrow(); auto checked = native_call([&] { return detail::check_route_definitions(*graph, s, d, rs, options); }); return typed_shared(native_call([&] { @@ -203,8 +205,8 @@ void register_program(py::module_& m) { py::arg("graph"), py::arg("sources"), py::arg("destinations"), py::arg("routes"), py::kw_only(), py::arg("allocation") = py::none(), py::arg("weight_basis") = py::none(), py::arg("edge_weights") = py::none(), py::arg("residual") = py::none(), - "Validate and freeze supplied routes -> ForwardingProgram (ValueError for the first failure, in this\n" - "order): the endpoint sets; `routes must not be empty`; when no route is a PredecessorDAG, any option given\n" + "Validate and freeze supplied routes -> ForwardingProgram. A wrong type raises TypeError; structural,\n" + "range and combination defects raise ValueError, in this order: the endpoint sets; `routes must not be empty`; when no route is a PredecessorDAG, any option given\n" "(` applies only to PredecessorDAG routes`); allocation\n" "OPTIMIZED (`from_routes allocation must be EQUAL or WEIGHTED`); weight_basis only with allocation=WEIGHTED,\n" "EXPLICIT with edge_weights, RESIDUAL_SNAPSHOT with residual; edge_weights' length and entries in [0,\n" @@ -238,16 +240,7 @@ void register_program(py::module_& m) { RouteOptions options; options.allocation = allocation; options.weight_basis = weight_basis; - const auto E = static_cast(graph->num_edges()); - if (ew.has_value()) { - if (ew->size() != E) throw py::value_error("edge_weights: expected " + std::to_string(E) + " entries"); - for (std::size_t e = 0; e < E; ++e) { - if (!ew->in(e, 0, kDomainLimit - 1)) { - throw py::value_error("edge_weights[" + std::to_string(e) + "] must be an integer in [0, 2^62)"); - } - } - options.edge_weights = ew->narrow(); - } + if (ew.has_value()) options.edge_weights = checked_edge_weights(*ew, static_cast(graph->num_edges())); if (rw.has_value()) options.residual = edge_amounts(residual, *graph, "residual", "residual (units)").narrow(); return typed_shared(native_call([&] { return ForwardingProgram::from_dag(*graph, s, d, shared_dag, options); })); }, @@ -256,8 +249,8 @@ void register_program(py::module_& m) { py::arg("residual") = py::none(), "One shared hop-by-hop program on a supplied PredecessorDAG of the graph -> ForwardingProgram: the sources\n" "allocated equally and pooled at every shared router exactly as ShortestPaths EQUAL/WEIGHTED (one\n" - "split context), the DAG trimmed to the walks from each source to its first destinations. ValueError for\n" - "the first failure, in this order: the endpoint sets; `dag belongs to another graph`; allocation OPTIMIZED\n" + "split context), the DAG trimmed to the walks from each source to its first destinations. A wrong type\n" + "raises TypeError; structural, range and combination defects raise ValueError, in this order: the endpoint sets; `dag belongs to another graph`; allocation OPTIMIZED\n" "(`from_dag allocation must be EQUAL or WEIGHTED`); weight_basis only with allocation=WEIGHTED, EXPLICIT\n" "with edge_weights, RESIDUAL_SNAPSHOT with residual; edge_weights' length and entries in [0, 2^62) and\n" "residual's (one entry per edge in [0, capacity]). A dag of another type raises TypeError. The roster is\n" diff --git a/bindings/python/hooks.cpp b/bindings/python/hooks.cpp index 5a21f52..4d84bd4 100644 --- a/bindings/python/hooks.cpp +++ b/bindings/python/hooks.cpp @@ -57,8 +57,10 @@ PyMemAllocatorEx g_saved_allocator {}; std::atomic g_fail_countdown {-1}; std::atomic g_fail_seen {0}; std::atomic g_fail_hit {false}; +std::atomic g_numpy_only {false}; bool fail_now() { + if (g_numpy_only.load() && !in_numpy_conversion) return false; g_fail_seen.fetch_add(1); if (g_fail_countdown.load() < 0) return false; if (g_fail_countdown.fetch_sub(1) == 0) { @@ -147,10 +149,11 @@ void register_private_hooks(py::module_& m) { register_concurrency_hooks(m); m.def( "_fail_python_allocation", - [](const py::object& fn, const py::tuple& args, long k) { + [](const py::object& fn, const py::tuple& args, long k, bool numpy_only) { // Calls fn(*args) with the k-th Python object allocation (from 0) failing, then // restores the allocator. Returns (hit, allocations seen, result or None, exception or // None). One caller at a time: the allocator is process-wide while the call runs. + g_numpy_only.store(numpy_only); PyMem_GetAllocator(PYMEM_DOMAIN_OBJ, &g_saved_allocator); PyMemAllocatorEx hook {nullptr, failing_malloc, failing_calloc, failing_realloc, forwarding_free}; g_fail_countdown.store(k); @@ -160,13 +163,15 @@ void register_private_hooks(py::module_& m) { PyObject* r = PyObject_CallObject(fn.ptr(), args.ptr()); PyMem_SetAllocator(PYMEM_DOMAIN_OBJ, &g_saved_allocator); g_fail_countdown.store(-1); + g_numpy_only.store(false); py::object result = r != nullptr ? py::reinterpret_steal(r) : py::object(py::none()); py::object error = py::none(); if (r == nullptr) error = take_raised_exception(); return py::make_tuple(g_fail_hit.load(), g_fail_seen.load(), result, error); }, - py::arg("fn"), py::arg("args"), py::arg("k"), - "private test hook: fn(*args) with the k-th Python object allocation failing -> (hit, seen, result, error)"); + py::arg("fn"), py::arg("args"), py::arg("k"), py::arg("numpy_only") = false, + "private test hook: fn(*args) with the k-th Python object allocation failing -> (hit, seen, result, error);\n" + "numpy_only=True counts and fails only allocations inside NumPy casts, excluding other binding allocations"); m.def( "_fail_native_allocation", diff --git a/bindings/python/integers.hpp b/bindings/python/integers.hpp index c694a95..eea1200 100644 --- a/bindings/python/integers.hpp +++ b/bindings/python/integers.hpp @@ -21,6 +21,7 @@ #include "netgraph/core/graph.hpp" #include "netgraph/core/types.hpp" #include "strict_bool.hpp" +#include "numpy_conversion.hpp" namespace py = pybind11; @@ -38,9 +39,9 @@ inline bool is_bool(const py::handle& obj) { throw py::type_error(what + " must be an integer (got " + std::string(py::str(py::type::of(item).attr("__name__"))) + ")"); } -// The Python int of an integer-like object (a Python int or a NumPy integer scalar); bools and -// everything else are rejected (throw_not_an_integer), and an exception of the object's own -// __index__ propagates as raised. The result is an exact int, so PyLong_AsLongLongAndOverflow +// The Python int of any non-bool object with __index__, read with PyNumber_Index; bools and +// objects without that protocol are rejected (throw_not_an_integer), and an exception of the +// object's own __index__ propagates as raised. The result is an exact int, so PyLong_AsLongLongAndOverflow // cannot fail on it. inline py::object python_int(const py::handle& item, const std::string& what) { if (is_bool(item) || !PyIndex_Check(item.ptr())) throw_not_an_integer(item, what); @@ -124,7 +125,7 @@ inline CheckedIntegerVector wide_integers(const py::handle& obj, const char* nam } out.value.reserve(static_cast(arr.size())); if (kind == 'u' && arr.itemsize() == 8) { - auto u = py::array_t::ensure(arr); + const auto u = numpy_conversion(arr); auto r = u.unchecked<1>(); constexpr auto kMax = static_cast(std::numeric_limits::max()); for (py::ssize_t i = 0; i < r.shape(0); ++i) { @@ -138,7 +139,7 @@ inline CheckedIntegerVector wide_integers(const py::handle& obj, const char* nam } return out; } - auto a = py::array_t::ensure(arr); + const auto a = numpy_conversion(arr); auto r = a.unchecked<1>(); for (py::ssize_t i = 0; i < r.shape(0); ++i) out.value.push_back(r(i)); return out; diff --git a/bindings/python/module.cpp b/bindings/python/module.cpp index dc85e46..beffe44 100644 --- a/bindings/python/module.cpp +++ b/bindings/python/module.cpp @@ -9,14 +9,14 @@ build) adds the test controls and the parity diagnostics. - Graph accessors return read-only NumPy views that keep the graph alive (no per-call copy). - - Integer inputs (capacities, costs, ids, views, caps) must be integers: Python ints, NumPy - integer scalars or integer arrays; floats and bools are rejected with TypeError, never + - Integer inputs (capacities, costs, ids, views, caps) take any non-bool object with __index__, including Python ints and NumPy + integer scalars, and sequences or integer arrays; floats and bools are rejected with TypeError, never truncated. Values are read without narrowing and validated in the C++ constructors' order before any conversion to the C++ types. Physical values enter only through to_units; the resolution is validated before anything else. - One rule for the class of an input error: a type the position never takes TypeError, a value outside its domain ValueError. std::invalid_argument from Core maps to ValueError; enumeration - values outside their enumeration are rejected at construction (ValueError). + domains are checked when a configuration or options value is consumed (ValueError). - _solve_min_cost_flow is a private entry point for the flow checks: it returns the flow core's payload as a dict of Python ints and lists. - Amounts and counters cross as Python ints (exact, also beyond 64 bits); per-edge arrays as diff --git a/bindings/python/numpy_conversion.hpp b/bindings/python/numpy_conversion.hpp new file mode 100644 index 0000000..8e5270b --- /dev/null +++ b/bindings/python/numpy_conversion.hpp @@ -0,0 +1,33 @@ +// Throwing NumPy conversions, with a private allocation-test window around the cast itself. +#pragma once + +#include + +#include "netgraph/core/detail/hooks_flag.hpp" + +namespace netgraph::core::bindings { + +#if NETGRAPH_CORE_PRIVATE_HOOKS +inline thread_local bool in_numpy_conversion = false; + +class NumpyConversionScope { + public: + NumpyConversionScope() noexcept : previous_(in_numpy_conversion) { in_numpy_conversion = true; } + ~NumpyConversionScope() { in_numpy_conversion = previous_; } + NumpyConversionScope(const NumpyConversionScope&) = delete; + NumpyConversionScope& operator=(const NumpyConversionScope&) = delete; + + private: + bool previous_; +}; +#endif + +template +pybind11::array_t numpy_conversion(const pybind11::object& input) { +#if NETGRAPH_CORE_PRIVATE_HOOKS + const NumpyConversionScope scope; +#endif + return pybind11::array_t(input); +} + +} // namespace netgraph::core::bindings diff --git a/bindings/python/path.cpp b/bindings/python/path.cpp index 0c39605..80761de 100644 --- a/bindings/python/path.cpp +++ b/bindings/python/path.cpp @@ -53,7 +53,8 @@ void register_path(py::module_& m) { return native_call([&] { return std::make_shared(detail::PathBuilder::of_hops(*graph, std::move(narrowed))); }); }), py::arg("graph"), py::arg("hops"), - "Validates, in order (ValueError on the first defect): every member id in range, no duplicate\n" + "A wrong type raises TypeError; structural and range defects raise ValueError. Validates, in order:\n" + "every member id in range, no duplicate\n" "member, a non-empty hop list, every hop non-empty, the members of a hop sharing (u, v),\n" "contiguous hops, no repeated node.") .def("graph_uid", &Path::graph_uid, "uid of the graph this path belongs to") diff --git a/bindings/python/path_enumeration.cpp b/bindings/python/path_enumeration.cpp index f21772c..e0199d4 100644 --- a/bindings/python/path_enumeration.cpp +++ b/bindings/python/path_enumeration.cpp @@ -142,7 +142,8 @@ void register_paths(py::module_& m) { "a single edge. Order: lowest cost; then, under a HIGHER_* tie_break only, the highest bottleneck\n" "(the smallest tie value along the path); then fewest hops; then the smallest EdgeId\n" "sequence. The result is the first k paths of that order\n" - "within the inclusive cost ceiling. Validated in this order before any work (ValueError): source and\n" + "within the inclusive cost ceiling. A wrong type raises TypeError; structural, range and combination\n" + "defects raise ValueError. Validated in this order before any work: source and\n" "destination in range, source == destination, k >= 1, the ceiling, the residual (length, then every\n" "entry), a foreign Eligibility. An excluded endpoint, no static route under a CostStretch ceiling, or\n" "no path gives []."); diff --git a/bindings/python/predecessor_dag.cpp b/bindings/python/predecessor_dag.cpp index 221e3e0..e2a1b57 100644 --- a/bindings/python/predecessor_dag.cpp +++ b/bindings/python/predecessor_dag.cpp @@ -92,7 +92,8 @@ void register_predecessor_dag(py::module_& m) { return native_call([&] { return std::make_shared(detail::PredecessorDAGBuilder::of_csr(*graph, ov, pv, wv)); }); }, py::arg("graph"), py::arg("parent_offsets"), py::arg("parents"), py::arg("via_edges"), - "Validates, in order, before any traversal (ValueError on the first defect): parent_offsets of\n" + "A wrong type raises TypeError; structural and range defects raise ValueError. Validates, in order,\n" + "before any traversal: parent_offsets of\n" "length N + 1, parent_offsets[0] == 0, monotone, parent_offsets[N] == len(parents) ==\n" "len(via_edges); then every parent and via edge in range, every via edge joining (parent, child),\n" "no duplicate (child, via edge), acyclic; within a node the entries in ascending via EdgeId.") diff --git a/bindings/python/strict_float.hpp b/bindings/python/strict_float.hpp index 631f172..e27e59b 100644 --- a/bindings/python/strict_float.hpp +++ b/bindings/python/strict_float.hpp @@ -1,6 +1,6 @@ /* The float converter of the resolution parameters. It takes exactly a number: a float (a Python - float or a NumPy floating value, through its own __float__) or an integer (a Python int or a + float, read by its stored value, or a NumPy floating value, converted to double) or an integer (a Python int or a NumPy integer, read exactly). Every other type is refused, and the call fails with pybind11's TypeError for incompatible arguments: a bool (Python's or numpy.bool_, by type identity), a fractions.Fraction, a decimal.Decimal, any object known only by __float__ or __index__. An @@ -18,7 +18,7 @@ namespace netgraph::core::bindings { -// A float parameter's value (its signature says float). +// The double value of a parameter that takes concrete Python and NumPy numbers. struct StrictFloat { double value {0.0}; constexpr operator double() const noexcept { return value; } // NOLINT(google-explicit-constructor) @@ -30,8 +30,8 @@ namespace pybind11::detail { template <> struct type_caster { - // Named as pybind11's own float conversion names its argument and its result. - PYBIND11_TYPE_CASTER(netgraph::core::bindings::StrictFloat, io_name("typing.SupportsFloat | typing.SupportsIndex", "float")); + // The input names exactly the concrete number types accepted by load(). + PYBIND11_TYPE_CASTER(netgraph::core::bindings::StrictFloat, io_name("int | float | numpy.integer | numpy.floating", "float")); bool load(handle src, bool convert) { PyObject* o = src.ptr(); diff --git a/bindings/python/trace.hpp b/bindings/python/trace.hpp index f2d36fd..3e3f55e 100644 --- a/bindings/python/trace.hpp +++ b/bindings/python/trace.hpp @@ -27,7 +27,6 @@ inline py::object trace_obj(const detail::Trace& t) { using K = detail::Trace::Kind; switch (t.kind) { case K::Null: return py::none(); - case K::Bool: return py::bool_(t.b); case K::Int: return checked(PyLong_FromLongLong(t.i)); case K::Str: return checked(PyUnicode_FromStringAndSize(t.s.data(), static_cast(t.s.size()))); case K::List: { diff --git a/bindings/python/units.cpp b/bindings/python/units.cpp index e3e8bbc..cc58ccc 100644 --- a/bindings/python/units.cpp +++ b/bindings/python/units.cpp @@ -159,7 +159,7 @@ PhysicalValues physical_values(const py::handle& x) { const char kind = given.dtype().kind(); if (kind != 'f' && kind != 'i' && kind != 'u') throw py::type_error(dtype_text(given)); if (given.ndim() > 1) throw py::type_error(kNotOneDimensional); - const py::array_t doubles(given); + const auto doubles = numpy_conversion(given); out.scalar = given.ndim() == 0; out.values.assign(doubles.data(), doubles.data() + doubles.size()); return out; diff --git a/dev/perf/README.md b/dev/perf/README.md index 82f237c..cb8b0a0 100644 --- a/dev/perf/README.md +++ b/dev/perf/README.md @@ -317,7 +317,7 @@ failed. | `spf` | `spf.to.random16k`, `spf.to.targetset_clos` | 8 reverse searches; 16 reverse searches rooted at a destination set (`queries/targetset_clos.json`) | | `spf` | `spf.single.canonical16k` | 8 canonical single paths to frozen targets (`queries/canonical16k.json`) on the residual | | `construct` | `construct.random65k`, `construct.clos` | graph construction from arrays, unit conversion included | -| `kernel` | `kernel.{proportional,eb,lossy}.clos`, `kernel.{proportional,eb}.grid`, `kernel.weighted.clos` | placements on fixed cost-only DAGs into one ledger | +| `kernel` | `kernel.{proportional,eb,lossy}.clos`, `kernel.{proportional,eb}.grid`, `kernel.weighted.clos` | placements on fixed ShortestPaths DAGs into one ledger | | `capacity` | `capacity.costonly_{eb,prop}.failures` | ShortestPaths capacity over 32 failure states x 8 pairs | | `maxflow` | `maxflow.exact.{totals,detailed}` | exact maximum flow over 8 failure states x 4 pairs | | `sensitivity` | `sens.exact`, `sens.policy_all_edges`, `sens.equal_global` | exact-model sensitivity; policy-model loss for every eligible edge; equal-source-allocation CentralizedTE, every edge solved afresh | diff --git a/dev/perf/aba_api.hpp b/dev/perf/aba_api.hpp index bd7ed68..e97398d 100644 --- a/dev/perf/aba_api.hpp +++ b/dev/perf/aba_api.hpp @@ -277,7 +277,7 @@ inline std::uint64_t spf_path(const Graph& g, int src, int dst, const Sel& s, co return d.h; } -// A fixed DAG for placement kernels: the cost-only destination search (setup, not timed). +// A fixed DAG for placement kernels: the ShortestPaths destination search (setup, not timed). struct Dag { std::shared_ptr dag; }; @@ -348,7 +348,7 @@ struct Ledger { }; // Scalar ShortestPaths policy capacity: place(+inf) of a ShortestPaths policy on a fresh ledger. -inline double costonly_capacity(const Graph& g, int src, int dst, Kernel k, const Elig& el) { +inline double shortest_paths_capacity(const Graph& g, int src, int dst, Kernel k, const Elig& el) { const nc::NodeId s[1] = {src}; const nc::NodeId t[1] = {dst}; nc::EvaluationOptions opts {config(nc::ShortestPaths {}, k), el.get(), nullptr, {}}; @@ -891,11 +891,11 @@ inline std::uint64_t t2_mesh(const Graph& g, const std::vector& fr // One series of ShortestPaths Equal placements with one ShortestPathCache per series (the support of // each destination set under the series Eligibility; NetGraph's hop-by-hop engine). -struct CostOnlySeries { +struct ShortestPathsSeries { const Graph& g; const Elig& el; nc::ShortestPathCache cache; - CostOnlySeries(const Graph& graph, const Elig& elig) : g(graph), el(elig), cache(graph.ref()) {} + ShortestPathsSeries(const Graph& graph, const Elig& elig) : g(graph), el(elig), cache(graph.ref()) {} // Places every demand on a fresh ledger; returns the delivered amount per demand. std::vector place_all(const std::vector>& demands, const std::vector& offers) { nc::FlowLedger fg(g.g); diff --git a/dev/perf/aba_rows.hpp b/dev/perf/aba_rows.hpp index 03f754d..30e601f 100644 --- a/dev/perf/aba_rows.hpp +++ b/dev/perf/aba_rows.hpp @@ -817,22 +817,22 @@ inline std::vector rows() { return p; }; r.push_back({"kernel.proportional.clos", "kernel", - "Optimized placement on fixed cost-only DAGs, Clos 64x32, 64 pairs of 50 on one ledger", + "Optimized placement on fixed ShortestPaths DAGs, Clos 64x32, 64 pairs of 50 on one ledger", [=] { return kernel_row(gen_clos(64, 32, 13), clos_pairs(), 50.0, Kernel::Optimized); }}); r.push_back({"kernel.eb.clos", "kernel", - "Equal placement on fixed cost-only DAGs, Clos 64x32, 64 pairs of 50 on one ledger", + "Equal placement on fixed ShortestPaths DAGs, Clos 64x32, 64 pairs of 50 on one ledger", [=] { return kernel_row(gen_clos(64, 32, 13), clos_pairs(), 50.0, Kernel::Equal); }}); r.push_back({"kernel.lossy.clos", "kernel", - "Equal placement with Lossy admission on fixed cost-only DAGs, Clos 64x32, 64 pairs of 50 on one ledger", + "Equal placement with Lossy admission on fixed ShortestPaths DAGs, Clos 64x32, 64 pairs of 50 on one ledger", [=] { return kernel_row(gen_clos(64, 32, 13), clos_pairs(), 50.0, Kernel::Lossy); }}); r.push_back({"kernel.proportional.grid", "kernel", - "Optimized placement on fixed cost-only DAGs, 24x24 unit grid, 32 corner pairs of 20", + "Optimized placement on fixed ShortestPaths DAGs, 24x24 unit grid, 32 corner pairs of 20", [=] { return kernel_row(gen_grid(24, 14, true), grid_pairs(), 20.0, Kernel::Optimized); }}); r.push_back({"kernel.eb.grid", "kernel", - "Equal placement on fixed cost-only DAGs, 24x24 unit grid, 32 corner pairs of 20", + "Equal placement on fixed ShortestPaths DAGs, 24x24 unit grid, 32 corner pairs of 20", [=] { return kernel_row(gen_grid(24, 14, true), grid_pairs(), 20.0, Kernel::Equal); }}); r.push_back({"kernel.weighted.clos", "kernel", - "Weighted placement on fixed cost-only DAGs, Clos 64x32, 64 pairs of 50 on one ledger", + "Weighted placement on fixed ShortestPaths DAGs, Clos 64x32, 64 pairs of 50 on one ledger", [=] { return kernel_row(gen_clos(64, 32, 13), clos_pairs(), 50.0, Kernel::Weighted); }}); // ---- scalar ShortestPaths capacity across unique failure states and pairs auto capacity_row = [](Kernel k) { @@ -844,7 +844,7 @@ inline std::vector rows() { for (int i = 0; i < 8; ++i) pairs.push_back({i, i + 16}); return Iter([g, states, pairs, k] { Digest d; - for (auto& el : *states) for (auto [s, t] : pairs) d.add_d(abaapi::costonly_capacity(*g, s, t, k, el)); + for (auto& el : *states) for (auto [s, t] : pairs) d.add_d(abaapi::shortest_paths_capacity(*g, s, t, k, el)); return d.h; }); }; @@ -1180,7 +1180,7 @@ inline std::vector rows() { if (s != t) { dem.push_back({s, t}); base.push_back(double(1 + rng() % 5)); } } return Iter([g, el, dem, base] { - abaapi::CostOnlySeries series(*g, *el); + abaapi::ShortestPathsSeries series(*g, *el); int probes = 0; auto feasible = [&](double alpha) { ++probes; diff --git a/dev/pytest_guard.py b/dev/pytest_guard.py index e2d7b0b..573a50e 100644 --- a/dev/pytest_guard.py +++ b/dev/pytest_guard.py @@ -24,6 +24,7 @@ # replay of the fixtures produced by the reference under tests/reference/policy/ (the # parametrizations of test_fixture) skips as well. EXPECTED_OFF_SKIPS = [ + "tests/py/test_integer_array_allocation.py::test_integer_array_readers_propagate_allocation_failure_in_separate_processes", "tests/py/test_apportionment.py::test_apportionment_entries", ( "tests/py/test_shortest_path_cache.py::test_frozen_statistics_survive_python_allocation_failures" @@ -32,9 +33,9 @@ "tests/py/test_flow_ledger.py::test_a_flow_id_read_passes_an_allocation_failure_through", "tests/py/test_flow_policy.py::test_evaluator_results_survive_python_allocation_failures", "tests/py/test_flow_policy.py::test_owner_hook_is_the_owner_of_the_records", - "tests/py/test_flow_policy.py::test_python_publication_is_all_or_nothing[False-costonly]", + "tests/py/test_flow_policy.py::test_python_publication_is_all_or_nothing[False-shortest_paths]", "tests/py/test_flow_policy.py::test_python_publication_is_all_or_nothing[False-global]", - "tests/py/test_flow_policy.py::test_python_publication_is_all_or_nothing[True-costonly]", + "tests/py/test_flow_policy.py::test_python_publication_is_all_or_nothing[True-shortest_paths]", "tests/py/test_flow_policy.py::test_python_publication_is_all_or_nothing[True-global]", "tests/py/test_flow_policy_fixtures.py::test_a_corrupted_expectation_fails[ledger]", "tests/py/test_flow_policy_fixtures.py::test_a_corrupted_expectation_fails[policy]", @@ -90,7 +91,7 @@ "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[evaluate.global]" ), ( - "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[forward.costonly_pooled_lossy_black_holes]" + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[forward.shortest_paths_pooled_lossy_black_holes]" ), ( "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[from_dag]" @@ -102,10 +103,10 @@ "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[ksp]" ), ( - "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[place.costonly]" + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[place.shortest_paths]" ), ( - "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[place.costonly_pooled_lossy]" + "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[place.shortest_paths_pooled_lossy]" ), ( "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[place.global]" @@ -148,8 +149,8 @@ ), "tests/py/test_native_allocation.py::test_the_row_checks_reject_a_wrong_call", "tests/py/test_programs.py::test_from_routes_and_getters_survive_python_allocation_failures", - "tests/py/test_programs.py::test_operations_are_all_or_nothing[costonly forward]", - "tests/py/test_programs.py::test_operations_are_all_or_nothing[costonly replace]", + "tests/py/test_programs.py::test_operations_are_all_or_nothing[shortest_paths forward]", + "tests/py/test_programs.py::test_operations_are_all_or_nothing[shortest_paths replace]", "tests/py/test_programs.py::test_operations_are_all_or_nothing[global evaluate]", "tests/py/test_programs.py::test_operations_are_all_or_nothing[pinned replace]", "tests/py/test_search.py::test_python_result_construction_is_all_or_nothing", diff --git a/dev/stubs/overrides.pyi b/dev/stubs/overrides.pyi index 7681136..fdd47bd 100644 --- a/dev/stubs/overrides.pyi +++ b/dev/stubs/overrides.pyi @@ -21,7 +21,7 @@ # - integers: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer], # one-dimensional (the rank and the values are checked at run time); # - a node set: one integer or integers; -# - a number: float | numpy.floating | typing.SupportsIndex. +# - a physical number or resolution: int | float | numpy.integer | numpy.floating. # Arrays that the module returns carry their exact dtype; their shape (one-dimensional) and # whether they are read-only views are in the docstrings. # @@ -48,7 +48,7 @@ class Eligibility: class Graph: # reason: num_nodes is an integer, the four edge arrays are integers (exact values checked by the binding) - # generated: def __init__(self, num_nodes: typing.Any, edge_sources: typing.Any, edge_destinations: typing.Any, edge_capacity_units: typing.Any, edge_costs: typing.Any, resolution: typing.SupportsFloat | typing.SupportsIndex) -> None: + # generated: def __init__(self, num_nodes: typing.Any, edge_sources: typing.Any, edge_destinations: typing.Any, edge_capacity_units: typing.Any, edge_costs: typing.Any, resolution: int | float | numpy.integer | numpy.floating) -> None: def __init__( self, num_nodes: typing.SupportsIndex, @@ -60,7 +60,7 @@ class Graph: | numpy.typing.NDArray[numpy.integer], edge_costs: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer], - resolution: typing.SupportsFloat | typing.SupportsIndex, + resolution: int | float | numpy.integer | numpy.floating, ) -> None: ... # reason: a read-only int64 view # generated: def edge_capacity_units(self) -> numpy.ndarray: @@ -758,7 +758,7 @@ class SpfResult: def target_cost(self) -> int | None: ... # reason: vectors give float64 arrays; int and NumPy integer scalars give float; another index protocol may also be a sequence -# generated: def as_float(x: typing.Any, resolution: typing.SupportsFloat | typing.SupportsIndex) -> typing.Any: +# generated: def as_float(x: typing.Any, resolution: int | float | numpy.integer | numpy.floating) -> typing.Any: @typing.overload def as_float( x: collections.abc.Sequence[typing.SupportsIndex] @@ -860,7 +860,7 @@ def spf( ) -> SpfResult: ... # reason: scalars give int, Python sequences int64 arrays; unknown-rank arrays may be 0-d (int) or 1-d (array) -# generated: def to_units(x: typing.Any, resolution: typing.SupportsFloat | typing.SupportsIndex) -> typing.Any: +# generated: def to_units(x: typing.Any, resolution: int | float | numpy.integer | numpy.floating) -> typing.Any: @typing.overload def to_units( x: int | float | numpy.floating | numpy.integer, diff --git a/docs/semantics.md b/docs/semantics.md index 951272f..2bca446 100644 --- a/docs/semantics.md +++ b/docs/semantics.md @@ -371,7 +371,8 @@ parallel edges). Both are immutable, bound to their graph and checked once when ends at `len(parents) == len(via_edges)`; then every id is in range, every via edge joins its parent to its node, no `(node, via)` pair repeats, the DAG has no cycle and every node's entries are in - ascending via EdgeId. Any failure is a `ValueError`. + ascending via EdgeId. A wrong type raises `TypeError`; structural and range defects raise + `ValueError`, in the order above. - **`Path(graph, hops)`.** `hops` is a list of hops, each a non-empty list of EdgeIds that share one `(u, v)` pair (parallel members). Validation, in order: every member id in range, no member twice, at least one hop, no empty hop, the members of a hop share `(u, v)`, consecutive @@ -1481,8 +1482,9 @@ gets through. nothing. - **The plan.** `result.plan` is a `TunnelPlan` of the program after the call: `tunnels_per_head` (N), `design_demand` (D), `design_by_head` (`(head, RR(D, H, i))` for every - roster head) and `total_reserved_bandwidth` (the up tunnels' requests, each counted once). It is - `None` for every other routing, `Pinned` over a T1 program included. + roster head) and `total_reserved_bandwidth` (the up tunnels' requests, each counted once). + T2 also returns a `TunnelPlan`, with the fields described below; all other routings, including + `Pinned` over a T1 program, return `None`. A T1 call: head 0's only edge has 2 units, head 1's has 10, two tunnels per head: @@ -1821,10 +1823,10 @@ view**: the ledger's residual with the policy's own traffic given back. minus the old (it may be negative). A later `place` continues the epoch a `replace` or a `forward` began (its records keep their ids). - With other owners fixed, identical full inputs give identical results, except fresh record ids. -- `forward`'s checks, in order: `Pinned forwards with replace`; `forward requires an installed - program` (also after `remove()`); the offer; a Lossy `+inf` (`LOSSY forwarding requires a finite - offer`, as for `evaluate` and `replace` and Lossy `Pinned`); the black holes' graph - (`black_holes belongs to another graph`). +- `forward`'s checks, in order: `Pinned forwards with replace`; the offer; a Lossy `+inf` + (`LOSSY forwarding requires a finite offer`, as for `evaluate` and `replace` and Lossy `Pinned`); + the black holes' type and graph (`black_holes belongs to another graph`); then, under the ledger + gate, `forward requires an installed program` (also after `remove()`). - **`design_demand`** belongs to T1 and T2 alone (every other routing raises ` does not accept design_demand`, the model `ShortestPaths`, `CentralizedTE` or `Pinned`): an integer in `[0, 2^62)` or `float('inf')` (else `design_demand must be an integer in [0, 2^62) or permitted diff --git a/include/netgraph/core/detail/forwarding.hpp b/include/netgraph/core/detail/forwarding.hpp index 810f841..ae757ce 100644 --- a/include/netgraph/core/detail/forwarding.hpp +++ b/include/netgraph/core/detail/forwarding.hpp @@ -176,6 +176,10 @@ struct ProgramFlow { // the event and dependency counts, known only after the no-drop loads, before the event // structures are allocated. Either refusal changes nothing. inline constexpr std::int64_t kForwardingLimit = std::numeric_limits::max(); +// Head labels include destinations as well as roots and member occurrences: their count is +// at most entries + occurrences, which can exceed the signed 32-bit occurrence limit. +using HeadLabelOffset = std::size_t; + enum class ForwardingCounter { Entry, Occurrence, Router, Event, Dependency }; void check_forwarding_count(ForwardingCounter counter, std::int64_t n); diff --git a/include/netgraph/core/detail/sparse.hpp b/include/netgraph/core/detail/sparse.hpp new file mode 100644 index 0000000..d69d7b7 --- /dev/null +++ b/include/netgraph/core/detail/sparse.hpp @@ -0,0 +1,23 @@ +// The nonzero entries of a member-aligned array, preserving member order and owning the result. +#pragma once + +#include +#include +#include +#include +#include + +#include "netgraph/core/types.hpp" + +namespace netgraph::core::detail { + +inline std::vector> nonzero_pairs(std::span members, std::span amounts) { + std::vector> out; + out.reserve(static_cast(std::count_if(amounts.begin(), amounts.end(), [](Amount x) { return x != 0; }))); + for (std::size_t m = 0; m < members.size(); ++m) { + if (amounts[m] != 0) out.emplace_back(members[m], amounts[m]); + } + return out; +} + +} // namespace netgraph::core::detail diff --git a/include/netgraph/core/detail/trace.hpp b/include/netgraph/core/detail/trace.hpp index 76b3c68..23eb818 100644 --- a/include/netgraph/core/detail/trace.hpp +++ b/include/netgraph/core/detail/trace.hpp @@ -17,21 +17,14 @@ namespace netgraph::core::detail { struct Trace { - enum class Kind : std::uint8_t { Null, Bool, Int, Str, List, Map }; + enum class Kind : std::uint8_t { Null, Int, Str, List, Map }; Kind kind {Kind::Null}; - bool b {false}; std::int64_t i {0}; std::string s {}; std::vector items {}; // List std::vector> fields {}; // Map, in insertion order static Trace null() { return {}; } - static Trace boolean(bool v) { - Trace t; - t.kind = Kind::Bool; - t.b = v; - return t; - } static Trace integer(std::int64_t v) { Trace t; t.kind = Kind::Int; diff --git a/python/netgraph_core/__init__.pyi b/python/netgraph_core/__init__.pyi index f704770..01d3994 100644 --- a/python/netgraph_core/__init__.pyi +++ b/python/netgraph_core/__init__.pyi @@ -417,7 +417,7 @@ class Graph: | numpy.typing.NDArray[numpy.integer], edge_costs: collections.abc.Sequence[typing.SupportsIndex] | numpy.typing.NDArray[numpy.integer], - resolution: typing.SupportsFloat | typing.SupportsIndex, + resolution: int | float | numpy.integer | numpy.floating, ) -> None: """ Validates, in order, and reports the first defect: the resolution (a power of two in @@ -536,7 +536,8 @@ class PredecessorDAG: | numpy.typing.NDArray[numpy.integer], ) -> PredecessorDAG: """ - Validates, in order, before any traversal (ValueError on the first defect): parent_offsets of + A wrong type raises TypeError; structural and range defects raise ValueError. Validates, in order, + before any traversal: parent_offsets of length N + 1, parent_offsets[0] == 0, monotone, parent_offsets[N] == len(parents) == len(via_edges); then every parent and via edge in range, every via edge joining (parent, child), no duplicate (child, via edge), acyclic; within a node the entries in ascending via EdgeId. @@ -584,7 +585,8 @@ class Path: | numpy.typing.NDArray[numpy.integer], ) -> None: """ - Validates, in order (ValueError on the first defect): every member id in range, no duplicate + A wrong type raises TypeError; structural and range defects raise ValueError. Validates, in order: + every member id in range, no duplicate member, a non-empty hop list, every hop non-empty, the members of a hop sharing (u, v), contiguous hops, no repeated node. """ @@ -999,8 +1001,8 @@ class ForwardingProgram: """ One shared hop-by-hop program on a supplied PredecessorDAG of the graph -> ForwardingProgram: the sources allocated equally and pooled at every shared router exactly as ShortestPaths EQUAL/WEIGHTED (one - split context), the DAG trimmed to the walks from each source to its first destinations. ValueError for - the first failure, in this order: the endpoint sets; `dag belongs to another graph`; allocation OPTIMIZED + split context), the DAG trimmed to the walks from each source to its first destinations. A wrong type + raises TypeError; structural, range and combination defects raise ValueError, in this order: the endpoint sets; `dag belongs to another graph`; allocation OPTIMIZED (`from_dag allocation must be EQUAL or WEIGHTED`); weight_basis only with allocation=WEIGHTED, EXPLICIT with edge_weights, RESIDUAL_SNAPSHOT with residual; edge_weights' length and entries in [0, 2^62) and residual's (one entry per edge in [0, capacity]). A dag of another type raises TypeError. The roster is @@ -1029,8 +1031,8 @@ class ForwardingProgram: | None = None, ) -> ForwardingProgram: """ - Validate and freeze supplied routes -> ForwardingProgram (ValueError for the first failure, in this - order): the endpoint sets; `routes must not be empty`; when no route is a PredecessorDAG, any option given + Validate and freeze supplied routes -> ForwardingProgram. A wrong type raises TypeError; structural, + range and combination defects raise ValueError, in this order: the endpoint sets; `routes must not be empty`; when no route is a PredecessorDAG, any option given (` applies only to PredecessorDAG routes`); allocation OPTIMIZED (`from_routes allocation must be EQUAL or WEIGHTED`); weight_basis only with allocation=WEIGHTED, EXPLICIT with edge_weights, RESIDUAL_SNAPSHOT with residual; edge_weights' length and entries in [0, @@ -2766,7 +2768,8 @@ def ksp( a single edge. Order: lowest cost; then, under a HIGHER_* tie_break only, the highest bottleneck (the smallest tie value along the path); then fewest hops; then the smallest EdgeId sequence. The result is the first k paths of that order - within the inclusive cost ceiling. Validated in this order before any work (ValueError): source and + within the inclusive cost ceiling. A wrong type raises TypeError; structural, range and combination + defects raise ValueError. Validated in this order before any work: source and destination in range, source == destination, k >= 1, the ceiling, the residual (length, then every entry), a foreign Eligibility. An excluded endpoint, no static route under a CostStretch ceiling, or no path gives []. diff --git a/src/evaluators.cpp b/src/evaluators.cpp index f43775b..dcb1cda 100644 --- a/src/evaluators.cpp +++ b/src/evaluators.cpp @@ -359,14 +359,14 @@ SensitivityResult evaluate_edge_failures_in_call(const Graph& graph, std::span(&options.config.routing); const bool global = global_routing != nullptr && !global_routing->support && !global_routing->tunnel_count.has_value() && global_routing->source_allocation != SourceAllocation::Equal; - const bool cost_only = std::holds_alternative(options.config.routing); + const bool shortest_paths = std::holds_alternative(options.config.routing); SensitivityResult out; std::vector on_route; // ShortestPaths: the baseline's reachable support detail::DeletionCapture capture; // optimized CentralizedTE: the baseline solve's final state { std::unique_ptr own; ShortestPathCache* cache = options.cache; - if (cache == nullptr && cost_only) { + if (cache == nullptr && shortest_paths) { own = std::make_unique(graph); cache = own.get(); } @@ -376,7 +376,7 @@ SensitivityResult evaluate_edge_failures_in_call(const Graph& graph, std::span candidates; std::vector baseline_flows; @@ -440,7 +440,7 @@ SensitivityResult evaluate_edge_failures_in_call(const Graph& graph, std::span(e)] == 0) { + if (shortest_paths && on_route[static_cast(e)] == 0) { entry.delivery_reduction = 0; } else { const EdgeId one[1] = {e}; diff --git a/src/flow_policy.cpp b/src/flow_policy.cpp index d7acf0b..e75d30f 100644 --- a/src/flow_policy.cpp +++ b/src/flow_policy.cpp @@ -68,6 +68,7 @@ #include "netgraph/core/detail/min_cost_flow.hpp" #include "netgraph/core/detail/forwarding.hpp" #include "netgraph/core/detail/int128.hpp" +#include "netgraph/core/detail/sparse.hpp" #include "netgraph/core/detail/route_kernels.hpp" #include "netgraph/core/detail/ledger_access.hpp" #include "netgraph/core/detail/policy_engine.hpp" @@ -300,8 +301,8 @@ void prepare_outputs(const PolicyEngine& pe, const LedgerTotals* totals, const O const LedgerTotals t = totals != nullptr ? *totals : totals_of(pe.ledger); std::vector res(m); for (std::size_t e = 0; e < m; ++e) res[e] = t.service_baseline[e] - t.carried[e]; - for (const auto& cohort : pe.epoch.record_groups) { - for (const auto& s : cohort) { + for (const auto& record_group : pe.epoch.record_groups) { + for (const auto& s : record_group) { for (const auto& [e, x] : LedgerAccess::live(pe.ledger, s.record_counter).edge_flows) res[static_cast(e)] += x; } } @@ -419,8 +420,8 @@ Counter128 total_cost_of(const Graph& graph, std::span // The records of the policy's live flows (a call that commits nothing). std::vector current_records(const PolicyEngine& pe) { std::vector out; - for (const auto& cohort : pe.epoch.record_groups) { - for (const auto& s : cohort) out.push_back(&LedgerAccess::live(pe.ledger, s.record_counter)); + for (const auto& record_group : pe.epoch.record_groups) { + for (const auto& s : record_group) out.push_back(&LedgerAccess::live(pe.ledger, s.record_counter)); } return out; } @@ -495,7 +496,7 @@ Counter128 requested_after(const PolicyEpoch& cur, std::optional v) noex return r; } -// The epoch a full-offer call starts: one empty cohort per roster source (or program entry); +// The epoch a full-offer call starts: one empty record_group per roster source (or program entry); // forward keeps the installed program and ShortestPaths Optimized's support. PolicyEpoch fresh_epoch(const PolicyEngine& pe, bool keep_program) { PolicyEpoch e; @@ -812,16 +813,6 @@ std::vector> plus(const std::vector> positive(std::span members, std::span a) { - std::vector> out; - out.reserve(static_cast(std::count_if(a.begin(), a.end(), [](Amount x) { return x != 0; }))); - for (std::size_t m = 0; m < members.size(); ++m) { - if (a[m] != 0) out.emplace_back(members[m], a[m]); - } - return out; -} - // The sum of several ascending (EdgeId, amount) lists. std::vector> merged(std::vector> all) { std::sort(all.begin(), all.end(), [](const auto& a, const auto& b) { return a.first < b.first; }); @@ -929,7 +920,7 @@ PendingPolicyUpdate place_pooled(const PolicyEngine& pe, const PolicyEpoch& cur, // One source holds the whole admitted allocation (the attribution's degenerate form): it // delivers all of it, with no second forwarding. auto& r = drafts.front().record; - r.edge_flows = positive(members, step.edge_flows); + r.edge_flows = nonzero_pairs(members, step.edge_flows); r.delivered = step.admitted; } else { // Several sources: forward the admitted total again to attribute it. @@ -967,8 +958,8 @@ PendingPolicyUpdate place_pooled(const PolicyEngine& pe, const PolicyEpoch& cur, Amount offer = fw.offered; Amount delivered = fw.delivered; if (per_source == nullptr) { - carried = positive(members, fw.edge_flows); - dropped = positive(members, fw.edge_drops); + carried = nonzero_pairs(members, fw.edge_flows); + dropped = nonzero_pairs(members, fw.edge_drops); } else { for (const auto& x : attr.entries[i]) { const EdgeId e = members[static_cast(x.edge_position)]; @@ -999,7 +990,7 @@ PendingPolicyUpdate place_pooled(const PolicyEngine& pe, const PolicyEpoch& cur, out.call_delivered = call_delivered; if (v.has_value()) out.call_undelivered = *v - call_delivered; out.delivery_delta = call_delivered; - if (lossy) out.call_edge_drops = positive(members, fw.edge_drops); + if (lossy) out.call_edge_drops = nonzero_pairs(members, fw.edge_drops); out.call_source_drops = fw.source_drops; if (members.empty()) { out.termination = Termination::NoActiveWeight; @@ -1508,7 +1499,7 @@ std::vector reservation_view(const PolicyEngine& pe, const LedgerTotals& } // The design volume of a tunnel model's call: the explicit design, or the offer (nullopt: -// unlimited; T1's is finite, checked by check_call_state). +// unlimited; T1's is finite, checked by check_policy_arguments). std::optional design_of(const PolicyCall& rq) noexcept { return rq.design.has_value() ? *rq.design : rq.offer; } // The plan of a T1 setup for the design D: the tunnel count, D, the heads' shares and the holds @@ -2032,7 +2023,7 @@ std::unique_ptr finish_engine(std::unique_ptr pe, Sh } } } - // The tunnel models' cohorts are per program entry, sized by their first call. + // The tunnel models' record_groups are per program entry, sized by their first call. if (!detail::tunnel_model(*pe)) pe->epoch.record_groups.resize(pe->reachable_sources.size()); pe->policy_id = LedgerAccess::bind(ledger); // last: nothing is bound when construction fails return pe; @@ -2607,7 +2598,7 @@ void FlowPolicy::remove() { auto& pe = *engine_; const auto gate = LedgerAccess::lock(pe.ledger); (void)LedgerAccess::detach(pe.ledger, pe.policy_id); - // A new epoch (nothing below throws): the same number of cohorts, every one empty. + // A new epoch (nothing below throws): the same number of record_groups, every one empty. for (auto& c : pe.epoch.record_groups) c.clear(); pe.epoch.program.reset(); pe.epoch.plan.reset(); diff --git a/src/forwarding.cpp b/src/forwarding.cpp index f1b4f87..fa0416d 100644 --- a/src/forwarding.cpp +++ b/src/forwarding.cpp @@ -51,6 +51,7 @@ #include #include "netgraph/core/detail/int128.hpp" +#include "netgraph/core/detail/sparse.hpp" #include "netgraph/core/detail/route_builders.hpp" #include "netgraph/core/detail/strong_components.hpp" @@ -439,16 +440,6 @@ void entry_shares(const ForwardingView& view, std::span heads, std } } -// The positive entries of a member-aligned array as (EdgeId, amount) pairs. -std::vector> positive_pairs(std::span members, std::span a) { - std::vector> out; - out.reserve(static_cast(std::count_if(a.begin(), a.end(), [](Amount x) { return x != 0; }))); - for (std::size_t m = 0; m < members.size(); ++m) { - if (a[m] != 0) out.emplace_back(members[m], a[m]); - } - return out; -} - void sort_pairs(std::vector>& v) { std::sort(v.begin(), v.end(), [](const auto& a, const auto& b) { return a.first < b.first; }); } @@ -483,8 +474,8 @@ void pooled_entries(const ForwardingView& view, const PreparedRoute& plan, const auto& f = out.entries[e]; if (attr == nullptr) { // One root holds the whole forwarding (the attribution's degenerate form). - f.edge_flows = positive_pairs(plan.forwarding_edges, alloc); - if (!drops.empty()) f.edge_drops = positive_pairs(plan.forwarding_edges, drops); + f.edge_flows = nonzero_pairs(plan.forwarding_edges, alloc); + if (!drops.empty()) f.edge_drops = nonzero_pairs(plan.forwarding_edges, drops); continue; } for (const auto& x : attr->entries[h]) { @@ -808,7 +799,7 @@ ForwardingNetwork build_forwarding_network(std::span heads_offsets; // per position of the current item + 1 + std::vector heads_offsets; // per position of the current item + 1 std::vector heads; // the heads per position, ascending std::vector stamp; std::vector in_offsets; @@ -854,7 +845,7 @@ ForwardingNetwork build_forwarding_network(std::span(k)]); } std::sort(heads.begin() + static_cast(first), heads.end()); - heads_offsets[q + 1] = static_cast(heads.size()); + heads_offsets[q + 1] = heads.size(); } it.first_member = net.member_occurrence_offsets.size(); std::int32_t count = 0; @@ -862,7 +853,9 @@ ForwardingNetwork build_forwarding_network(std::span(tails[m]); - count += heads_offsets[t + 1] - heads_offsets[t]; + // This range contributes to the preflight-checked occurrence total, unlike the + // cumulative label offset (which also includes labels at destinations). + count += static_cast(heads_offsets[t + 1] - heads_offsets[t]); } net.member_occurrence_offsets.push_back(nocc + count); net.member_tail_positions.push_back(-1); diff --git a/tests/cpp/apply_actions_tests.cpp b/tests/cpp/apply_actions_tests.cpp index cccf658..b5e3e9e 100644 --- a/tests/cpp/apply_actions_tests.cpp +++ b/tests/cpp/apply_actions_tests.cpp @@ -156,7 +156,7 @@ Amounts delivered(const std::vector& rs) { const OutputOptions kAll {.edge_flows = true, .residual = true, .saturated_boundary_edges = true, .edge_reservations = true}; -// The step-3 cycle Pc: CYC(1, 2), two tunnels crossing X (e0) and Y (e3) in opposite orders, +// The cycle Pc: CYC(1, 2), two tunnels crossing X (e0) and Y (e3) in opposite orders, // weights 1 and 2; its replace(3) enters a period-2 cycle. std::shared_ptr cyc12() { return graph(6, {{0, 1, 1, 1}, {1, 2, 1000, 1}, {1, 5, 1000, 1}, {2, 3, 2, 1}, {3, 0, 1000, 1}, {3, 5, 1000, 1}, {4, 0, 1000, 1}, @@ -1135,7 +1135,7 @@ TEST(ApplyActions, DarkArrivalsAddNoBarrier) { } // An entry whose share is 0 can carry nothing, so it makes no link wait and joins no group. Two -// step-3 cycles (CYC(1, 2) twice, 4 -> 5 and 16 -> 17, offers 1 and 2 each) bridged by two Pinned +// cycles (CYC(1, 2) twice, 4 -> 5 and 16 -> 17, offers 1 and 2 each) bridged by two Pinned // tunnels of offer 0 (4 -> 17 over the first cycle's X and the second's links, 16 -> 5 the other // way): the period-2 error at round 3 with or without the bridges (with arcs through them the two // groups merged and failed at the round limit). And a link X before a period-2 pair: A over X, L0, diff --git a/tests/cpp/contract_examples_tests.cpp b/tests/cpp/contract_examples_tests.cpp index 59f4dd1..3cd4005 100644 --- a/tests/cpp/contract_examples_tests.cpp +++ b/tests/cpp/contract_examples_tests.cpp @@ -164,7 +164,7 @@ Frac reduce(std::int64_t num, std::int64_t den) { const auto g = std::gcd(num < 0 ? -num : num, den); return {num / g, den / g}; } -bool less(const Frac& a, const Frac& b) { return static_cast<__int128>(a.num) * b.den < static_cast<__int128>(b.num) * a.den; } +bool less(const Frac& a, const Frac& b) { return static_cast(a.num) * b.den < static_cast(b.num) * a.den; } std::string text(const Frac& f) { return std::to_string(f.num) + "/" + std::to_string(f.den); } // Each split's largest excess and deficit against its exact share n w / W. @@ -3241,7 +3241,7 @@ TEST(ContractExamples, LIST_outputs_simultaneous) { expect_entry(r[1], 5, {}, "UP", {0, 5, 0}, {2}); } // The fourteen lists with real policies (a, b of the list's ledger; x of another; the cycling action -// is the step-3 cycle's Pinned replace(3)). +// is the cycle's Pinned replace(3)). TEST(ContractExamples, LIST_first_error) { const Net n({{0, 1, 10, 1}}); const Net other({{0, 1, 10, 1}}); diff --git a/tests/cpp/distributed_te_tests.cpp b/tests/cpp/distributed_te_tests.cpp index 9de1e9c..1e27fcb 100644 --- a/tests/cpp/distributed_te_tests.cpp +++ b/tests/cpp/distributed_te_tests.cpp @@ -762,7 +762,7 @@ TEST(T1Operations, NoIncrementsAndForwardNeedsAProgram) { // design: the model, its domain, finiteness) and the terminations. TEST(T1Operations, DesignValidationAndTerminations) { const auto g = one10(); - for (const auto& c : {cost_only_config(), global_config(), + for (const auto& c : {shortest_paths_config(), global_config(), FlowPolicyConfig {.routing = pinned_paths(*g, {0}, {1}, {{0, {0}, 1}})}}) { auto p = make(g, {0}, {1}, c); const std::string model = detail::model_name(c.routing); @@ -807,7 +807,7 @@ TEST(T1Operations, NoCertificatesAndPlanOnlyForT1) { ASSERT_TRUE(r.plan.has_value()); auto pin = make(g, {0, 1}, {2}, FlowPolicyConfig {.routing = Pinned {r.program, nullptr}}); EXPECT_FALSE(pin->replace(12).plan.has_value()); - for (const auto& c : {cost_only_config(), global_config()}) { + for (const auto& c : {shortest_paths_config(), global_config()}) { auto q = make(g, {0, 1}, {2}, c); EXPECT_FALSE(q->place(5).plan.has_value()); EXPECT_FALSE(q->replace(5).plan.has_value()); @@ -829,7 +829,7 @@ TEST(LedgerProjections, ELedger) { EXPECT_EQ(ledger->residual(), (Amounts {6})); EXPECT_EQ(ledger->reserved(), (Amounts {6})); EXPECT_EQ(ledger->unreserved(), (Amounts {4})); - auto c = make(g, {0}, {1}, cost_only_config(), nullptr, ledger); + auto c = make(g, {0}, {1}, shortest_paths_config(), nullptr, ledger); EXPECT_EQ(c->place(10).call_delivered, 6); c->remove(); const auto r = p->replace(2, 6); @@ -923,7 +923,7 @@ TEST(LedgerProjections, HoldsAreStoredFromTheFirstHold) { EXPECT_EQ(fg.unreserved(), (Amounts {2, 10})); EXPECT_EQ(vec(detail::LedgerAccess::reservation_baseline(fg)), (Amounts {2, 10})); { - FlowPolicy cost(fg, v({0, 1}), v({2}), cost_only_config()); + FlowPolicy cost(fg, v({0, 1}), v({2}), shortest_paths_config()); (void)cost.place(3); EXPECT_TRUE(detail::LedgerAccess::reserved(fg).empty()); // carried traffic holds nothing cost.remove(); @@ -976,7 +976,7 @@ TEST(LedgerProjections, AbsentReservationBaselineIsTheCapacities) { // program books no hold; the bottleneck report reads the service view only. TEST(LedgerProjections, OutputsImportsAndBottleneck) { const auto g = twoh(2, 10); - auto c = make(g, {0, 1}, {2}, cost_only_config()); + auto c = make(g, {0, 1}, {2}, shortest_paths_config()); EXPECT_EQ(*c->place(4, kHolds).edge_reservations, (Amounts {0, 0})); auto p = make(g, {0, 1}, {2}, t1(2, LOSSY)); const auto r = p->replace(12, 12); @@ -1311,7 +1311,7 @@ TEST(TunnelEvaluators, T1Capacity) { // An explicit offer comes before the design. bad.offer = kL62; EXPECT_EQ(err(bad), "offer must be an integer in [0, 2^62)"); - for (const auto& c : {cost_only_config(), global_config()}) { + for (const auto& c : {shortest_paths_config(), global_config()}) { EvaluationOptions o {c}; o.design_demand = Amount {5}; EXPECT_EQ(err(o), std::string(detail::model_class(c.routing)) + " does not accept design_demand"); @@ -1661,7 +1661,7 @@ TEST(T1Property, SetupAndBoundAgainstTheReference) { (void)s.holds->replace(0, other_d); } if (other_load) { - s.load = std::make_unique(*s.ledger, src, dst, cost_only_config()); + s.load = std::make_unique(*s.ledger, src, dst, shortest_paths_config()); (void)s.load->place(other_d); } s.p = std::make_unique(*s.ledger, src, dst, t1(N, a, ceiling, minimum, rs.tie_break, rs.parallel_edges), elig); diff --git a/tests/cpp/flow_ledger_fault_tests.cpp b/tests/cpp/flow_ledger_fault_tests.cpp index 604d24d..e15e2b0 100644 --- a/tests/cpp/flow_ledger_fault_tests.cpp +++ b/tests/cpp/flow_ledger_fault_tests.cpp @@ -114,7 +114,7 @@ const std::vector& scenarios() { TEST(LedgerFaults, TheSweepComparatorsCompareEveryField) { const auto g = shared(make_graph(3, {{0, 1, 9, 1}, {1, 2, 9, 1}, {0, 2, 4, 3}})); FlowLedger fg(g); - auto p = std::make_unique(fg, v({0}), v({2}), cost_only_config()); + auto p = std::make_unique(fg, v({0}), v({2}), shortest_paths_config()); const PlacementResult r = p->place(5, OutputOptions {true, true, true}); const LedgerState st = ledger_state(fg); ASSERT_EQ(st.records.size(), 1U); @@ -221,9 +221,59 @@ TEST(LedgerFaults, TheSweepComparatorsCompareEveryField) { results[k](x); EXPECT_GT(failures_of([&] { expect_same(x, r, "result"); }), 0) << "result field " << k; } + // Program values, including absent/present both ways and separately constructed equal values. + ASSERT_TRUE(r.program != nullptr); + PlacementResult absent = r; + absent.program.reset(); + EXPECT_EQ(failures_of([&] { expect_same(absent, absent, "both programs absent"); }), 0); + EXPECT_GT(failures_of([&] { expect_same(absent, r, "absent program"); }), 0); + EXPECT_GT(failures_of([&] { expect_same(r, absent, "present program"); }), 0); + FlowLedger equal_ledger(g); + FlowPolicy equal_policy(equal_ledger, v({0}), v({2}), shortest_paths_config()); + const auto equal_result = equal_policy.place(5); + ASSERT_NE(r.program.get(), equal_result.program.get()); + PlacementResult same_program = r; + same_program.program = equal_result.program; + EXPECT_EQ(failures_of([&] { expect_same(same_program, r, "equal program value"); }), 0); + FlowLedger different_ledger(g); + FlowPolicy different_policy(different_ledger, v({1}), v({2}), shortest_paths_config()); + PlacementResult different_program = r; + different_program.program = different_policy.place(5).program; + EXPECT_GT(failures_of([&] { expect_same(different_program, r, "different program"); }), 0); + EXPECT_GT(failures_of([&] { expect_same(r, different_program, "different program reversed"); }), 0); + + // Tunnel rows: empty/populated boundaries, every field, and a wrong distribution with the same total. + ASSERT_TRUE(r.by_tunnel.empty()); + PlacementResult tunnels = r; + tunnels.by_tunnel = {{3, 0, TunnelStatus::Up, Counter128 {0, 2}, 2, Counter128 {0, 1}}, + {4, 0, TunnelStatus::Up, Counter128 {0, 2}, 2, Counter128 {0, 1}}}; + const PlacementResult same_tunnels = tunnels; + EXPECT_EQ(failures_of([&] { expect_same(tunnels, same_tunnels, "equal populated tunnel rows"); }), 0); + EXPECT_GT(failures_of([&] { expect_same(r, tunnels, "empty tunnel rows"); }), 0); + EXPECT_GT(failures_of([&] { expect_same(tunnels, r, "populated tunnel rows"); }), 0); + const std::vector> tunnel_fields = { + [](auto& x) { ++x.entry_id; }, + [](auto& x) { ++x.head; }, + [](auto& x) { x.status = TunnelStatus::Failed; }, + [](auto& x) { ++x.assigned.hi; }, + [](auto& x) { ++x.assigned.lo; }, + [](auto& x) { ++x.delivered; }, + [](auto& x) { ++x.total_edge_drops.hi; }, + [](auto& x) { ++x.total_edge_drops.lo; }, + }; + for (std::size_t k = 0; k < tunnel_fields.size(); ++k) { + PlacementResult x = tunnels; + tunnel_fields[k](x.by_tunnel.front()); + EXPECT_GT(failures_of([&] { expect_same(x, tunnels, "tunnel row field"); }), 0) << k; + } + PlacementResult redistributed = tunnels; + --redistributed.by_tunnel[0].delivered; + ++redistributed.by_tunnel[1].delivered; + EXPECT_GT(failures_of([&] { expect_same(redistributed, tunnels, "tunnel distribution"); }), 0); + // The epoch: every field of the call state and of a flow. const Epoch ep = epoch(*p); - ASSERT_FALSE(ep.cohorts.empty() || ep.cohorts.front().empty()); + ASSERT_FALSE(ep.record_groups.empty() || ep.record_groups.front().empty()); EXPECT_EQ(failures_of([&] { expect_same(ep, ep, "same"); }), 0); const std::vector> epochs = { [](auto& x) { ++x.requested.hi; }, @@ -243,11 +293,11 @@ TEST(LedgerFaults, TheSweepComparatorsCompareEveryField) { [](auto& x) { x.support.push_back(0); }, [](auto& x) { x.source_drops_by_source.emplace_back(); }, [](auto& x) { x.by_tunnel.emplace_back(); }, - [](auto& x) { x.cohorts.emplace_back(); }, - [](auto& x) { ++x.cohorts[0][0].id; }, - [](auto& x) { ++x.cohorts[0][0].cost; }, - [](auto& x) { x.cohorts[0][0].route.push_back(0); }, - [](auto& x) { ++x.cohorts[0][0].entry; }, + [](auto& x) { x.record_groups.emplace_back(); }, + [](auto& x) { ++x.record_groups[0][0].id; }, + [](auto& x) { ++x.record_groups[0][0].cost; }, + [](auto& x) { x.record_groups[0][0].route.push_back(0); }, + [](auto& x) { ++x.record_groups[0][0].entry; }, }; for (std::size_t k = 0; k < epochs.size(); ++k) { Epoch x = ep; @@ -758,7 +808,7 @@ TEST(LedgerFaults, RemovalAndReleaseNeverAllocate) { TEST(LedgerFaults, PlacementSweepRejectsAPartialCommit) { const auto g = shared(make_graph(3, {{0, 1, 10, 1}, {1, 2, 10, 1}})); const auto setup = [](FlowLedger& fg) { - auto p = std::make_shared(fg, std::vector {0}, std::vector {2}, cost_only_config()); + auto p = std::make_shared(fg, std::vector {0}, std::vector {2}, shortest_paths_config()); return Staged {p, p.get()}; }; long reached = 0; diff --git a/tests/cpp/flow_ledger_tests.cpp b/tests/cpp/flow_ledger_tests.cpp index 8bd69e4..1715c13 100644 --- a/tests/cpp/flow_ledger_tests.cpp +++ b/tests/cpp/flow_ledger_tests.cpp @@ -92,7 +92,7 @@ TEST(FlowLedger, BaselineValidationAndSnapshots) { // A baseline with one or several defects (one error, from the shared edge-amount check): its length // before any entry, then its first entry outside [0, capacity] in EdgeId order, at construction -// and at reset; amendment 9 checks the immutable baseline before bound state. A rejected reset changes +// and at reset; the immutable baseline is checked before bound state. A rejected reset changes // nothing (records, allocation, baseline, the next FlowId). TEST(FlowLedger, BaselineDefectsReportTheFirstInOrder) { const auto g = shared(edge_amount_graph()); diff --git a/tests/cpp/flow_policy_fault_tests.cpp b/tests/cpp/flow_policy_fault_tests.cpp index b332cbd..aed17d6 100644 --- a/tests/cpp/flow_policy_fault_tests.cpp +++ b/tests/cpp/flow_policy_fault_tests.cpp @@ -103,16 +103,16 @@ std::vector modes(const Graph& g) { std::vector out; const std::vector S = {0, 1}; const std::vector D = {5, 6}; - out.push_back({"costonly maxflow", shortest(RouteAllocation::Optimized, Admission::Lossless), S, D}); - out.push_back({"costonly eb", cost_only_config(), S, D}); - out.push_back({"costonly weighted residual", + out.push_back({"shortest_paths maxflow", shortest(RouteAllocation::Optimized, Admission::Lossless), S, D}); + out.push_back({"shortest_paths eb", shortest_paths_config(), S, D}); + out.push_back({"shortest_paths weighted residual", shortest(RouteAllocation::Weighted, Admission::Lossless, [](ShortestPaths& sp) { sp.weight_basis = WeightBasis::ResidualSnapshot; }), S, D}); - out.push_back({"costonly lossy", shortest(RouteAllocation::Equal, Admission::Lossy), S, D}); + out.push_back({"shortest_paths lossy", shortest(RouteAllocation::Equal, Admission::Lossy), S, D}); // Several sources: the FEWER_HOPS single path (the pooled single-path rule rejects a HIGHER_* // tie_break with multipath false). - out.push_back({"costonly single path collapse", + out.push_back({"shortest_paths single path collapse", shortest(RouteAllocation::Equal, Admission::Lossless, [](ShortestPaths& sp) { sp.multipath = false; @@ -122,13 +122,13 @@ std::vector modes(const Graph& g) { out.push_back({"global", global_config(), S, D}); // The equal source allocation of the controllers: the bisection's probe solves and the final solve. out.push_back({"global equal", {.routing = centralized(SourceAllocation::Equal)}, S, D}); - out.push_back({"costonly maxflow equal", + out.push_back({"shortest_paths maxflow equal", shortest(RouteAllocation::Optimized, Admission::Lossless, [](ShortestPaths& sp) { sp.source_allocation = SourceAllocation::Equal; }), S, D}); // Pooled Weighted Lossy: source 1's zero-capacity member has weight 0 (pruned), the shares // attributed across the shared routers. - out.push_back({"costonly weighted lossy", shortest(RouteAllocation::Weighted, Admission::Lossy), S, D}); + out.push_back({"shortest_paths weighted lossy", shortest(RouteAllocation::Weighted, Admission::Lossy), S, D}); // Pinned over supplied programs: three split routes of source 0 (one all-zero: a Weighted // route without a member), Lossless Equal and Lossy Weighted; and two sources' crossing // tunnels, Lossy, which meet on shared links (the general loss rule). @@ -168,15 +168,15 @@ std::vector modes(const Graph& g) { S, D, std::optional {6}}); // ShortestPaths creation in one pass: its Collapse branch (multipath, parallel_edges false, // HIGHER_AVAILABLE_CAPACITY on the creation view) and its Weighted weights (capacity basis). - out.push_back({"costonly eb multipath collapse", + out.push_back({"shortest_paths eb multipath collapse", shortest(RouteAllocation::Equal, Admission::Lossless, [](ShortestPaths& sp) { sp.tie_break = RouteTieBreak::HigherAvailableCapacity; sp.parallel_edges = false; }), S, D}); - out.push_back({"costonly weighted capacity", shortest(RouteAllocation::Weighted, Admission::Lossless), S, D}); - out.push_back({"costonly weighted explicit", + out.push_back({"shortest_paths weighted capacity", shortest(RouteAllocation::Weighted, Admission::Lossless), S, D}); + out.push_back({"shortest_paths weighted explicit", shortest(RouteAllocation::Weighted, Admission::Lossy, [](ShortestPaths& sp) { sp.weight_basis = WeightBasis::Explicit; @@ -266,7 +266,7 @@ TEST(PolicyFaults, ZeroCapacityLinksTakePartInTheSweeps) { FlowPolicy p(fg, m.sources, m.destinations, m.cfg); (void)p.place(5); const auto& pe = detail::PolicyAccess::engine(p); - if (m.name == "costonly eb") { + if (m.name == "shortest_paths eb") { // The pooled program of both sources holds the zero link as a member. ASSERT_TRUE(pe.epoch.program != nullptr); const auto& plan = *detail::ProgramAccess::data(*pe.epoch.program).split_contexts.front().prepared_route; @@ -916,7 +916,7 @@ TEST(PolicyFaults, EvaluatorsLeaveNoPoisonedScratch) { const Eligibility no_bypass = without_bypass(*g); const Eligibility no_cross = without_cross(*g); const std::int32_t one[] = {1}; - const std::vector exhaustive_edge_failures = {"costonly eb", "global", "pinned eb split routes", + const std::vector exhaustive_edge_failures = {"shortest_paths eb", "global", "pinned eb split routes", "pinned tunnels lossy"}; int swept_edge_failures = 0; long attempts = 0; @@ -1037,7 +1037,7 @@ TEST(PolicyFaults, FiniteOfferEvaluatorsFailAtomically) { const auto g = graph(); int swept = 0; long attempts = 0; - for (const char* name : {"costonly maxflow", "costonly eb", "global equal"}) { + for (const char* name : {"shortest_paths maxflow", "shortest_paths eb", "global equal"}) { attempts += sweep_finite_offers(*g, name, {-1}, swept); if (::testing::Test::HasFailure()) return; } @@ -1146,8 +1146,8 @@ void expect_scratch_growth_failure_leaves_nothing_half_grown( // A split kernel's placement (ShortestPaths Equal): the working residual and the kernels' // scratch. TEST(PolicyFaults, ScratchGrowthFailureLeavesNothingHalfGrown) { - expect_scratch_growth_failure_leaves_nothing_half_grown("costonly eb", - [](const Graph&) { return cost_only_config(); }); + expect_scratch_growth_failure_leaves_nothing_half_grown("shortest_paths eb", + [](const Graph&) { return shortest_paths_config(); }); } // A controller's placement also grows the decomposition's per-thread scratch (cursors, range ends, @@ -1341,7 +1341,7 @@ TEST(PolicyFaults, FrozenStatisticsFollowThePublicCall) { if (::testing::Test::HasFailure()) return; } // A ShortestPaths policy whose key is absent: the constructor's outcome is the miss. - const auto& eb = all[1]; // costonly eb + const auto& eb = all[1]; // shortest_paths eb ASSERT_TRUE(std::holds_alternative(eb.cfg.routing)); const std::vector absent = {4}; EXPECT_GT(sweep_frozen_stats("frozen construction miss", cache, false, 1, 0, true, @@ -1372,7 +1372,7 @@ TEST(PolicyFaults, FrozenStatisticsFollowThePublicCall) { } // ShortestPaths' failure study from a source that reaches no destination: one lookup (the baseline's // hit), no placed deletion, and the call succeeds; its failures happen after the hit. - EXPECT_GT(sweep_frozen_stats("frozen costonly sensitivity" + std::string(" workers ") + std::to_string(workers), + EXPECT_GT(sweep_frozen_stats("frozen shortest_paths sensitivity" + std::string(" workers ") + std::to_string(workers), cache, false, 3, 1, false, [&] { (void)evaluate_edge_failures(*g, std::vector {5}, std::vector {6}, @@ -1382,17 +1382,17 @@ TEST(PolicyFaults, FrozenStatisticsFollowThePublicCall) { } // ShortestPaths' failure study whose deletions miss (a fresh uid per deletion): the baseline's hit is // dropped with the failed call, and the miss counts once. - const auto costonly_miss = [&](std::int32_t workers) { + const auto shortest_paths_miss = [&](std::int32_t workers) { (void)evaluate_edge_failures(*g, eb.sources, eb.destinations, EvaluationOptions {eb.cfg, nullptr, &cache}, workers); }; - EXPECT_GT(sweep_frozen_stats("frozen costonly sensitivity miss", cache, false, 1, 0, true, [&] { costonly_miss(1); }), + EXPECT_GT(sweep_frozen_stats("frozen shortest_paths sensitivity miss", cache, false, 1, 0, true, [&] { shortest_paths_miss(1); }), 2); // The same with the deletions evaluated by 2 and 4 workers, every third allocation of the // worker threads failing. The tasks start in increasing index and the lowest failing index's // exception is raised, so an injected failure either is raised (nothing counted) or loses to a // lower deletion's miss (the miss counted once, no hit). for (const std::int32_t workers : {2, 4}) { - const std::string w = "frozen costonly sensitivity miss, worker threads, workers " + std::to_string(workers); + const std::string w = "frozen shortest_paths sensitivity miss, worker threads, workers " + std::to_string(workers); long reached = 0, surfaced = 0; for (long at = 0;; at += 3) { const std::string where = w + " allocation " + std::to_string(at); @@ -1404,7 +1404,7 @@ TEST(PolicyFaults, FrozenStatisticsFollowThePublicCall) { at, [&] { try { - costonly_miss(workers); + shortest_paths_miss(workers); } catch (const ShortestPathCacheMiss&) { missed = true; } @@ -1433,7 +1433,7 @@ TEST(PolicyFaults, WorkersSharingAFrozenCacheFailCleanly) { // reference. CentralizedTE's failure study, which reads no cache, rejects it before any worker starts. const auto g = graph(); const auto all = modes(*g); - const auto& m = all[1]; // costonly eb: reads the cache + const auto& m = all[1]; // shortest_paths eb: reads the cache const std::vector, std::vector>> pairs = { {m.sources, m.destinations}, {{1}, {6}}, {{0}, {5}}}; ShortestPathCache cache(*g); @@ -1465,12 +1465,12 @@ TEST(PolicyFaults, WorkersSharingAFrozenCacheFailCleanly) { const std::string w = e.what(); return w.substr(0, w.find(", Eligibility uid ")); }; - const auto costonly_edge_failures = [&](std::int32_t w) { + const auto shortest_paths_edge_failures = [&](std::int32_t w) { (void)evaluate_edge_failures(*g, m.sources, m.destinations, query_of(m, nullptr, &cache), w); }; std::string want_miss; try { - costonly_edge_failures(1); + shortest_paths_edge_failures(1); } catch (const ShortestPathCacheMiss& e) { want_miss = key_of(e); } @@ -1479,14 +1479,14 @@ TEST(PolicyFaults, WorkersSharingAFrozenCacheFailCleanly) { "frozen sensitivity", 1, false, 1, [&](std::int32_t w) { try { - costonly_edge_failures(w); + shortest_paths_edge_failures(w); } catch (const ShortestPathCacheMiss&) { } }, [&](std::int32_t w) { EXPECT_EQ(cache.stats().entries, entries); try { - costonly_edge_failures(w); + shortest_paths_edge_failures(w); ADD_FAILURE() << "no ShortestPathCacheMiss"; } catch (const ShortestPathCacheMiss& e) { EXPECT_EQ(key_of(e), want_miss); diff --git a/tests/cpp/flow_policy_fixture_tests.cpp b/tests/cpp/flow_policy_fixture_tests.cpp index 233dadc..f616f29 100644 --- a/tests/cpp/flow_policy_fixture_tests.cpp +++ b/tests/cpp/flow_policy_fixture_tests.cpp @@ -518,7 +518,7 @@ J policy_json(const FlowPolicy& policy) { j.set("requested", J::integer(wide(pe.epoch.requested))); j.set("infinite", J::boolean(pe.epoch.infinite)); j.set("placed_demand", J::integer(policy.delivered())); - J cohorts = J::arr(); + J record_groups = J::arr(); for (std::size_t i = 0; i < pe.reachable_sources.size(); ++i) { if (pe.epoch.record_groups[i].empty()) continue; J flows = J::arr(); @@ -537,9 +537,9 @@ J policy_json(const FlowPolicy& policy) { J entry = J::arr(); entry.push(J::integer(pe.reachable_sources[i])); entry.push(std::move(flows)); - cohorts.push(std::move(entry)); + record_groups.push(std::move(entry)); } - j.set("cohorts", std::move(cohorts)); + j.set("cohorts", std::move(record_groups)); return j; } @@ -549,7 +549,6 @@ J trace_json(const detail::Trace& t) { using K = detail::Trace::Kind; switch (t.kind) { case K::Null: return J::null(); - case K::Bool: return J::boolean(t.b); case K::Int: return J::integer(t.i); case K::Str: return J::str(t.s); case K::List: { diff --git a/tests/cpp/flow_policy_tests.cpp b/tests/cpp/flow_policy_tests.cpp index e1ff66b..6a35158 100644 --- a/tests/cpp/flow_policy_tests.cpp +++ b/tests/cpp/flow_policy_tests.cpp @@ -541,7 +541,7 @@ TEST(FlowPolicyRequests, RejectedRequestsLeaveThePolicyAndTheLedger) { auto g = diamond(5, 3, 2); const Pinned pinned = pinned_dags(*g, 0, 3, {dag_of(*g, {0, 2}), dag_of(*g, {1, 3})}); const std::vector> configs = { - {"ShortestPaths", cost_only_config()}, + {"ShortestPaths", shortest_paths_config()}, {"CentralizedTE", global_config()}, {"Pinned", {.routing = pinned}}, {"CentralizedTE support", {.routing = centralized(SourceAllocation::Optimized, dag_of(*g, {0, 2}))}}, @@ -648,7 +648,7 @@ TEST(FlowPolicyRequests, RoundRobinSharesFollowTheCumulativeRequest) { { auto g = star(3); FlowLedger fg(g); - FlowPolicy p(fg, sources(3), v({3}), cost_only_config()); + FlowPolicy p(fg, sources(3), v({3}), shortest_paths_config()); EXPECT_EQ(p.place(2).call_delivered, 2); EXPECT_EQ(delivered_by_source(p), (Shares {{0, 1}, {1, 1}, {2, 0}})); EXPECT_EQ(error_of([&] { (void)p.place(-1); }), "offer must be an integer in [0, 2^62) or permitted +inf"); @@ -676,7 +676,7 @@ TEST(FlowPolicyOutputs, OwnAllocationLedgerResidualBottleneckAndGlobalCut) { const CentralizedTE third = centralized(SourceAllocation::Optimized, dag_of(*g, {0, 2})); FlowPolicy other(fg, v({0}), v({3}), cfg(third, RouteAllocation::Optimized)); ASSERT_EQ(other.place(1).call_delivered, 1); - FlowPolicy p(fg, v({0}), v({3}), cost_only_config()); + FlowPolicy p(fg, v({0}), v({3}), shortest_paths_config()); const OutputOptions all {true, true, true}; auto r = p.place(4, all); // Both routes cost 2: Equal puts 2 units on each, so every edge carries 2 of this @@ -738,7 +738,7 @@ TEST(FlowPolicyOutputs, BottleneckIsTheLedgersForThePolicysSourcesAndEligibility FlowPolicy other(fg, v({0}), v({3}), cfg(third, RouteAllocation::Optimized)); ASSERT_EQ(other.place(1).call_delivered, 1); const auto el = g->eligibility({}, std::vector {x}); - FlowPolicy p(fg, v({0}), v({3}), cost_only_config(), &el); + FlowPolicy p(fg, v({0}), v({3}), shortest_paths_config(), &el); const auto r = p.place(2, OutputOptions {false, false, true}); EXPECT_EQ(r.call_delivered, 2); ASSERT_TRUE(r.saturated_boundary_edges.has_value()); @@ -1004,10 +1004,10 @@ TEST(FlowPolicyGlobal, RandomCumulativeSolvesAreOptimalWithACertifiedCut) { // excludes; a Lossless policy's records deliver its delivered() total, and the ledger's aggregate is the // sum of its records (expect_balanced). ShortestPaths chooses routes by cost, not by the minimum-cost // flow, so no optimality certificate applies here (T1's records: T1Property, distributed_te_tests.cpp). -TEST(FlowPolicyRecords, RandomCostOnlyRecordsAreFlows) { +TEST(FlowPolicyRecords, RandomShortestPathsRecordsAreFlows) { const auto res = sel(RouteTieBreak::FewerHops); const std::vector configs = { - cost_only_config(), + shortest_paths_config(), cfg(ShortestPaths {}, RouteAllocation::Weighted), cfg(ShortestPaths {}, RouteAllocation::Optimized), // The FEWER_HOPS single path (several sources reject a HIGHER_* tie_break with it). @@ -1049,7 +1049,7 @@ TEST(FlowPolicyRecords, RandomCostOnlyRecordsAreFlows) { FlowLedger fg(g); std::optional other; if (n >= 6 && rng() % 2 == 0) { - other.emplace(fg, v({2}), v({3}), cost_only_config()); + other.emplace(fg, v({2}), v({3}), shortest_paths_config()); (void)other->place(static_cast(rng() % 5)); } FlowPolicy p(fg, srcs, dsts, config, elig); @@ -1121,7 +1121,7 @@ TEST(FlowPolicyRecords, BundlesAreSharedOrPruned) { // ShortestPaths: a source whose route is the whole cached support shares it. ShortestPathCache cache(*g); FlowLedger fg3(g); - FlowPolicy c(fg3, v({0}), v({3}), cost_only_config(), nullptr, &cache); + FlowPolicy c(fg3, v({0}), v({3}), shortest_paths_config(), nullptr, &cache); (void)c.place(2); const auto support = cache.lookup(*g, v({3}), Direction::Reverse, nullptr); EXPECT_EQ(c.records().front().route.get(), support.get()); @@ -1202,7 +1202,7 @@ TEST(PredDAGStorage, ABundleCostsItsEntriesNotTheGraph) { const std::vector> built = { {"pruned Pinned", {.routing = pinned_dags(*h, n - 3, n - 1, {three})}}, {"CentralizedTE support", {.routing = centralized(SourceAllocation::Optimized, dag_of(*h, {inv[0], inv[1]}))}}, - {"ShortestPaths", cost_only_config()}, + {"ShortestPaths", shortest_paths_config()}, {"CentralizedTE", global_config()}}; for (const auto& [name, c] : built) { FlowLedger fh(h); @@ -1220,7 +1220,7 @@ TEST(Evaluators, CapacityIsPlaceInfOnAFreshLedger) { // program has the endpoints; T1's evaluate of its design: TunnelEvaluators.T1Capacity). auto g = diamond(5, 3, 2); const Pinned pin = pinned_dags(*g, 0, 3, {dag_of(*g, {0, 2}), dag_of(*g, {1, 3})}); - for (const auto& c : {global_config(), cost_only_config(), FlowPolicyConfig {.routing = pin}, + for (const auto& c : {global_config(), shortest_paths_config(), FlowPolicyConfig {.routing = pin}, FlowPolicyConfig {.routing = centralized(SourceAllocation::Optimized, dag_of(*g, {0, 2}))}}) { const auto r = evaluate_demand(*g, v({0}), v({3}), EvaluationOptions {c, nullptr, nullptr, OutputOptions {true, true, true}}); FlowLedger fg(g); @@ -1278,7 +1278,7 @@ TEST(Evaluators, BatchOrderIntersectionsExceptionsAndWorkers) { "evaluate_pairs does not accept Pinned"); EXPECT_TRUE(contains(error_of([&] { (void)evaluate_pairs(*g, pairs, opts, per, 0); }), "workers")); ShortestPathCache cache(*g); - const EvaluationOptions with_cache {cost_only_config(), nullptr, &cache}; + const EvaluationOptions with_cache {shortest_paths_config(), nullptr, &cache}; EXPECT_TRUE(contains(error_of([&] { (void)evaluate_pairs(*g, pairs, with_cache, {}, 2); }), "workers == 1")); const auto cached = evaluate_pairs(*g, pairs, with_cache, {}, 1); EXPECT_EQ(cache.stats().misses, 2); // destination sets {3} and {1, 2} @@ -1304,12 +1304,12 @@ TEST(Evaluators, BatchOrderIntersectionsExceptionsAndWorkers) { "foreign Eligibility: built for another graph"); EXPECT_EQ(first_error(pinned_bad, nullptr, &foreign_cache, short_per, 2), "foreign ShortestPathCache: bound to another graph"); EXPECT_EQ(first_error(pinned_bad, nullptr, &building, short_per, 2), - "evaluate_pairs does not accept Pinned"); // amendment 9: arguments before cache mode + "evaluate_pairs does not accept Pinned"); // arguments before cache mode EXPECT_EQ(first_error(pinned_bad, nullptr, &building, short_per, 1), "evaluate_pairs does not accept Pinned"); EXPECT_EQ(first_error(config_bad, nullptr, &building, short_per, 1), "ShortestPaths OPTIMIZED requires admission=LOSSLESS"); EXPECT_EQ(first_error(global_config(), nullptr, &building, short_per, 1), "CentralizedTE does not use ShortestPathCache"); - EXPECT_EQ(first_error(cost_only_config(), nullptr, &building, short_per, 1), "per_pair_eligibility has 1 entries for 4 pairs"); - EXPECT_EQ(first_error(cost_only_config(), nullptr, &building, per, 1), "destinations: node 9 out of node range [0, 4)"); + EXPECT_EQ(first_error(shortest_paths_config(), nullptr, &building, short_per, 1), "per_pair_eligibility has 1 entries for 4 pairs"); + EXPECT_EQ(first_error(shortest_paths_config(), nullptr, &building, per, 1), "destinations: node 9 out of node range [0, 4)"); EXPECT_EQ(stats_of(building.stats()), stats_of(ShortestPathCache(*g).stats())); } @@ -1421,8 +1421,8 @@ TEST(Evaluators, SensitivityEqualsTheDefinitionOnRandomGraphs) { ++pinned_trials; } for (const auto& c : trial_configs) { - const bool cost_only = std::holds_alternative(c.routing); - if (cost_only && s.size() > 1 && !std::get(c.routing).multipath && + const bool shortest_paths = std::holds_alternative(c.routing); + if (shortest_paths && s.size() > 1 && !std::get(c.routing).multipath && std::get(c.routing).tie_break != RouteTieBreak::FewerHops) { continue; // the pooled single-path rule } @@ -1447,7 +1447,7 @@ TEST(Evaluators, SensitivityEqualsTheDefinitionOnRandomGraphs) { const bool equal_global = std::holds_alternative(c.routing) && !global; const std::string model = global ? " CentralizedTE" : equal_global ? " CentralizedTE equal" - : cost_only ? " ShortestPaths" + : shortest_paths ? " ShortestPaths" : pinned ? " Pinned" : " T1"; std::vector listed; @@ -1464,8 +1464,8 @@ TEST(Evaluators, SensitivityEqualsTheDefinitionOnRandomGraphs) { const Amount want = loss(e.edge); ASSERT_EQ(e.delivery_reduction, want) << "trial " << trial << " edge " << e.edge << model; ++entries; - if (want != 0) ++(global ? global_losses : cost_only ? policy_losses : pinned ? pinned_losses : aware_losses); - if (cost_only && want == 0) ++policy_zero; + if (want != 0) ++(global ? global_losses : shortest_paths ? policy_losses : pinned ? pinned_losses : aware_losses); + if (shortest_paths && want == 0) ++policy_zero; if (g->edge_capacity_units()[static_cast(e.edge)] == 0 && want != 0) ++zero_edge_losses; if (want < 0) ++negative; } @@ -1510,7 +1510,7 @@ TEST(Evaluators, SensitivityCandidatesAndSignedLosses) { // third would cross the zero link. Without the thin link (members 1, 2): 1, loss 1; without the // wide link (0, 2): 1, loss 1; without the zero link (0, 1): 2, loss 0. auto p = shared(make_graph(2, {{0, 1, 1, 1}, {0, 1, 10, 1}, {0, 1, 0, 1}})); - const auto opts = EvaluationOptions {cost_only_config()}; + const auto opts = EvaluationOptions {shortest_paths_config()}; s = evaluate_edge_failures(*p, v({0}), v({1}), opts, 1); EXPECT_EQ(s.baseline.call_delivered, 2); // The exact (edge, loss) list in ascending EdgeId. @@ -1554,7 +1554,7 @@ TEST(Evaluators, SensitivityBaselineIsCapacityWithTheRequestedOutputs) { auto g = diamond(5, 3, 2); const Pinned pin = pinned_dags(*g, 0, 3, {dag_of(*g, {0, 2}), dag_of(*g, {1, 3})}); const OutputOptions all {.edge_flows = true, .residual = true, .saturated_boundary_edges = true, .edge_reservations = true}; - for (const auto& c : {global_config(), cost_only_config(), t1(2), FlowPolicyConfig {.routing = pin}, + for (const auto& c : {global_config(), shortest_paths_config(), t1(2), FlowPolicyConfig {.routing = pin}, FlowPolicyConfig {.routing = centralized(SourceAllocation::Optimized, dag_of(*g, {0, 2}))}}) { const auto with = [&](EvaluationOptions q) { if (std::holds_alternative(c.routing)) q.design_demand = Amount {6}; @@ -1580,7 +1580,7 @@ TEST(Evaluators, SensitivityBaselineIsCapacityWithTheRequestedOutputs) { // lowest EdgeIds first), but 2->4 and 4->5, carrying nothing, are in its reachable support and are // re-evaluated (loss 0); 1->2 is not and is skipped. From sources 0 and 1 (pooled, 20) the second // source reaches 1->2 too, and every deletion loses 10. -TEST(Evaluators, CostOnlySensitivityReevaluatesExactlyTheReachableSupport) { +TEST(Evaluators, ShortestPathsSensitivityReevaluatesExactlyTheReachableSupport) { auto g = shared(make_graph(6, {{0, 2, 10, 1}, {1, 2, 10, 1}, {2, 3, 10, 1}, {2, 4, 10, 1}, {3, 5, 10, 1}, {4, 5, 10, 1}})); const auto in = id_of_input(*g); const auto c = cfg(ShortestPaths {}, RouteAllocation::Optimized); @@ -1617,7 +1617,7 @@ TEST(Evaluators, SensitivityChecksWorkersAndCachesAsTheBatchDoes) { ShortestPathCache foreign_cache(*other); ShortestPathCache building(*g); const auto first_error = [&](const Eligibility* elig, ShortestPathCache* cache, std::int32_t workers) { - return error_of([&] { (void)evaluate_edge_failures(*g, v({0}), v({3}), EvaluationOptions {cost_only_config(), elig, cache}, workers); }); + return error_of([&] { (void)evaluate_edge_failures(*g, v({0}), v({3}), EvaluationOptions {shortest_paths_config(), elig, cache}, workers); }); }; EXPECT_EQ(first_error(&foreign, &foreign_cache, 0), "workers must be >= 1 (got 0)"); EXPECT_EQ(first_error(&foreign, &foreign_cache, 2), "foreign Eligibility: built for another graph"); @@ -1638,7 +1638,7 @@ TEST(Evaluators, SensitivityChecksWorkersAndCachesAsTheBatchDoes) { // Only ShortestPaths reads the cache: CentralizedTE, T1 and Pinned reject one (frozen too) before // any lookup and count nothing; ShortestPaths's baseline raises the miss of an empty frozen cache. -TEST(Evaluators, SensitivityReadsTheCacheOnlyUnderCostOnly) { +TEST(Evaluators, SensitivityReadsTheCacheOnlyUnderShortestPaths) { auto g = diamond(5, 3, 2); const Pinned pin = pinned_dags(*g, 0, 3, {dag_of(*g, {0, 2}), dag_of(*g, {1, 3})}); ShortestPathCache empty(*g); @@ -1655,7 +1655,7 @@ TEST(Evaluators, SensitivityReadsTheCacheOnlyUnderCostOnly) { } } EXPECT_EQ(stats_of(empty.stats()), stats_of(ShortestPathCache(*g).stats())); - EXPECT_THROW((void)evaluate_edge_failures(*g, v({0}), v({3}), EvaluationOptions {cost_only_config(), nullptr, &empty}, 1), + EXPECT_THROW((void)evaluate_edge_failures(*g, v({0}), v({3}), EvaluationOptions {shortest_paths_config(), nullptr, &empty}, 1), ShortestPathCacheMiss); EXPECT_EQ(empty.stats().misses, 1); } @@ -1700,7 +1700,7 @@ std::optional> units(Amount a) { return std::optional> {std::in_place, std::nullopt}}) { - EXPECT_EQ(error_of([&] { (void)evaluate_demand(*g, v({0}), v({1}), offered(cost_only_config(), offer)); }), domain); + EXPECT_EQ(error_of([&] { (void)evaluate_demand(*g, v({0}), v({1}), offered(shortest_paths_config(), offer)); }), domain); EXPECT_EQ(error_of([&] { (void)evaluate_demand(*g, v({0}), v({1}), offered(t1(2), offer, units(-1))); }), domain); } EXPECT_EQ(error_of([&] { @@ -1758,9 +1758,9 @@ TEST(Evaluators, OfferDomain) { offered({.routing = centralized(SourceAllocation::Equal, {}, std::nullopt, true)}, units(-5))); }), "prefer_headroom requires tunnel_count"); - EXPECT_EQ(error_of([&] { (void)evaluate_demand(*g, v({0}), v({1}), offered(cost_only_config(), kNoOffer, units(-1))); }), + EXPECT_EQ(error_of([&] { (void)evaluate_demand(*g, v({0}), v({1}), offered(shortest_paths_config(), kNoOffer, units(-1))); }), "ShortestPaths does not accept design_demand"); - EXPECT_EQ(error_of([&] { (void)evaluate_demand(*g, v({0}), v({1}), offered(cost_only_config(), units(kL62 - 1))); }), ""); + EXPECT_EQ(error_of([&] { (void)evaluate_demand(*g, v({0}), v({1}), offered(shortest_paths_config(), units(kL62 - 1))); }), ""); } // The failure study of every controller and ShortestPaths at finite offers below, at and above diff --git a/tests/cpp/graph_concurrency_tests.cpp b/tests/cpp/graph_concurrency_tests.cpp index 2555b22..e1b4e11 100644 --- a/tests/cpp/graph_concurrency_tests.cpp +++ b/tests/cpp/graph_concurrency_tests.cpp @@ -222,7 +222,7 @@ TEST(GraphConcurrency, BatchWorkersBuildTheirOwnReverseSupport) { for (NodeId s = 0; s < 32; ++s) pairs.push_back({{s}, {static_cast(399 - s)}}); // ShortestPaths routing: each policy's DAG is the reverse static support toward its destination. // Every output is requested, so the per-edge flows and the residuals are compared too. - const EvaluationOptions opts {cost_only_config(), nullptr, nullptr, OutputOptions {true, true, true}}; + const EvaluationOptions opts {shortest_paths_config(), nullptr, nullptr, OutputOptions {true, true, true}}; const auto serial = evaluate_pairs(g, pairs, opts, {}, 1); const auto parallel = evaluate_pairs(g, pairs, opts, {}, 4); ASSERT_EQ(serial.size(), pairs.size()); diff --git a/tests/cpp/joint_forwarding_tests.cpp b/tests/cpp/joint_forwarding_tests.cpp index 8695949..ea0593b 100644 --- a/tests/cpp/joint_forwarding_tests.cpp +++ b/tests/cpp/joint_forwarding_tests.cpp @@ -14,6 +14,7 @@ #include #include #include +#include #include #include #include @@ -1647,3 +1648,41 @@ TEST(JointForwarding, PooledCycleKeepsSourceState) { } } // namespace + + +// Source labels also reach destinations, which have no outgoing occurrence. A long chain +// followed by a disconnected live component therefore crosses the occurrence index's width. +TEST(JointForwarding, PooledHeadLabelOffsetsIncludeDestinationsWithoutNarrowing) { + constexpr std::int64_t chain_heads = 65535; + constexpr std::int64_t entries = chain_heads + 1; + constexpr std::int64_t occurrences = chain_heads * (chain_heads + 1) / 2 + 1; + constexpr std::int64_t routers = chain_heads + 3; + EXPECT_NO_THROW(detail::check_forwarding_count(detail::ForwardingCounter::Entry, entries)); + EXPECT_NO_THROW(detail::check_forwarding_count(detail::ForwardingCounter::Occurrence, occurrences)); + EXPECT_NO_THROW(detail::check_forwarding_count(detail::ForwardingCounter::Router, routers)); + using Offset = detail::HeadLabelOffset; + // Each label is a root entry or is reached over an incoming occurrence. The cumulative + // offset must hold their sum, although each separate preflight counter fits in int32. + EXPECT_GE(static_cast(std::numeric_limits::max()), + 2 * static_cast(detail::kForwardingLimit)); + std::int64_t exact_labels = 0; + Offset offset = 0; + for (std::int64_t labels = 1; labels <= chain_heads; ++labels) { + exact_labels += labels; + offset = static_cast(exact_labels); + ASSERT_EQ(static_cast(offset), exact_labels); + } + exact_labels += chain_heads; // destination labels have no outgoing occurrence + offset = static_cast(exact_labels); + EXPECT_EQ(exact_labels, 2147516415LL); + EXPECT_EQ(static_cast(offset), exact_labels); + EXPECT_GT(static_cast(offset), static_cast(detail::kForwardingLimit)); + const Offset disconnected_begin = offset; + offset = static_cast(++exact_labels); + EXPECT_EQ(offset - disconnected_begin, Offset {1}); + offset = static_cast(++exact_labels); // its destination + EXPECT_EQ(static_cast(offset), 2147516417LL); + // The bound includes destination labels; it is not the occurrence-only bound. + EXPECT_LE(static_cast(offset), entries + occurrences); + EXPECT_EQ(occurrences, 2147450881LL); +} diff --git a/tests/cpp/pooled_source_allocation_tests.cpp b/tests/cpp/pooled_source_allocation_tests.cpp index 20cd503..c706e19 100644 --- a/tests/cpp/pooled_source_allocation_tests.cpp +++ b/tests/cpp/pooled_source_allocation_tests.cpp @@ -97,7 +97,7 @@ ShortestPaths sel(RouteTieBreak t = RouteTieBreak::FewerHops, bool multipath = t } // ShortestPaths with the allocation `k`, the route choice of `s` and the source allocation `o`. -FlowPolicyConfig cost_only(RouteAllocation k = RouteAllocation::Equal, Admission a = Admission::Lossless, +FlowPolicyConfig shortest_paths_policy(RouteAllocation k = RouteAllocation::Equal, Admission a = Admission::Lossless, ShortestPaths s = {}, std::optional o = std::nullopt) { s.allocation = k; s.source_allocation = o; @@ -152,11 +152,11 @@ std::string construct_error(const std::vector& edges, std::vector> rows = { {FlowPolicyConfig {.routing = ShortestPaths {}}, ""}, - {cost_only(RouteAllocation::Equal, Admission::Lossless, {}, SourceAllocation::Optimized), + {shortest_paths_policy(RouteAllocation::Equal, Admission::Lossless, {}, SourceAllocation::Optimized), "ShortestPaths with EQUAL or WEIGHTED requires source_allocation=EQUAL"}, - {cost_only(RouteAllocation::Weighted, Admission::Lossless, {}, SourceAllocation::Optimized), + {shortest_paths_policy(RouteAllocation::Weighted, Admission::Lossless, {}, SourceAllocation::Optimized), "ShortestPaths with EQUAL or WEIGHTED requires source_allocation=EQUAL"}, - {cost_only(RouteAllocation::Optimized, Admission::Lossy), "ShortestPaths OPTIMIZED requires admission=LOSSLESS"}, + {shortest_paths_policy(RouteAllocation::Optimized, Admission::Lossy), "ShortestPaths OPTIMIZED requires admission=LOSSLESS"}, {FlowPolicyConfig {.routing = centralized(), .admission = Admission::Lossy}, "CentralizedTE without tunnel_count requires admission=LOSSLESS"}, {FlowPolicyConfig {.routing = centralized(SourceAllocation::Equal), .admission = Admission::Lossy}, @@ -199,7 +199,7 @@ TEST(ConfigOrigin, MatrixOrder) { EXPECT_EQ(construct_error(kB1, {0, 1}, {3}, FlowPolicyConfig {centralized(SourceAllocation::Equal), Admission::Lossy}), "CentralizedTE without tunnel_count requires admission=LOSSLESS"); EXPECT_EQ(construct_error(kPool, {0, 1}, {3}, - cost_only(RouteAllocation::Equal, Admission::Lossless, kPreferPath, SourceAllocation::Optimized)), + shortest_paths_policy(RouteAllocation::Equal, Admission::Lossless, kPreferPath, SourceAllocation::Optimized)), "ShortestPaths with EQUAL or WEIGHTED requires source_allocation=EQUAL"); const auto g = graph(kB1); ShortestPathCache cache(*g); @@ -224,7 +224,7 @@ TEST(ConfigOrigin, EndpointsBeforeOwnership) { // Finite after infinite, place(0) included, until remove(). TEST(ConfigOrigin, FiniteAfterInfinite) { - for (const auto& cfg : {cost_only(), glob(), cost_only(RouteAllocation::Equal, Admission::Lossy)}) { + for (const auto& cfg : {shortest_paths_policy(), glob(), shortest_paths_policy(RouteAllocation::Equal, Admission::Lossy)}) { Case k(kOne, {0}, {1}, cfg); (void)k.place(std::nullopt); for (Amount x : {Amount {1}, Amount {0}}) { @@ -241,11 +241,11 @@ TEST(ConfigOrigin, FiniteAfterInfinite) { // single paths for every kernel; one source and multipath are accepted. TEST(PooledSinglePath, Rejected) { for (auto k : {RouteAllocation::Equal, RouteAllocation::Weighted, RouteAllocation::Optimized}) { - EXPECT_EQ(construct_error(kPool, {0, 1}, {3}, cost_only(k, Admission::Lossless, kPreferPath)), kQ12); - EXPECT_EQ(construct_error(kPool, {0, 1}, {3}, cost_only(k, Admission::Lossless, kPreferPath), {1}), kQ12); - EXPECT_EQ(construct_error(kPool, {0, 0}, {3}, cost_only(k, Admission::Lossless, kPreferPath)), ""); + EXPECT_EQ(construct_error(kPool, {0, 1}, {3}, shortest_paths_policy(k, Admission::Lossless, kPreferPath)), kQ12); + EXPECT_EQ(construct_error(kPool, {0, 1}, {3}, shortest_paths_policy(k, Admission::Lossless, kPreferPath), {1}), kQ12); + EXPECT_EQ(construct_error(kPool, {0, 0}, {3}, shortest_paths_policy(k, Admission::Lossless, kPreferPath)), ""); EXPECT_EQ(construct_error(kPool, {0, 1}, {3}, - cost_only(k, Admission::Lossless, sel(RouteTieBreak::HigherCapacity, true, false))), + shortest_paths_policy(k, Admission::Lossless, sel(RouteTieBreak::HigherCapacity, true, false))), ""); } } @@ -253,11 +253,11 @@ TEST(PooledSinglePath, Rejected) { // FEWER_HOPS single paths pool: 0: [e0, e2], 1: [e1, e2] (equal cost and hops: e2). TEST(PooledSinglePath, DeterministicPaths) { const auto det = sel(RouteTieBreak::FewerHops, false); - Case k(kPool, {0, 1}, {3}, cost_only(RouteAllocation::Equal, Admission::Lossless, det)); + Case k(kPool, {0, 1}, {3}, shortest_paths_policy(RouteAllocation::Equal, Admission::Lossless, det)); const auto r = k.place(std::nullopt); EXPECT_EQ(r.call_delivered, 1); EXPECT_EQ(rows(r), (std::vector {{0, kNone, 1, 1, 0, 0}, {1, kNone, 0, 0, 0, 0}})); - Case lossy(kPool, {0, 1}, {3}, cost_only(RouteAllocation::Equal, Admission::Lossy, det)); + Case lossy(kPool, {0, 1}, {3}, shortest_paths_policy(RouteAllocation::Equal, Admission::Lossy, det)); const auto l = lossy.place(2); EXPECT_EQ(l.call_delivered, 1); EXPECT_EQ(l.call_edge_drops, (Drops {{2, 1}})); @@ -272,27 +272,27 @@ TEST(PooledSinglePath, DeterministicPaths) { // One split at the shared router, attributed member by member. TEST(Pooled, SharedRouterSplitsOnce) { - Case k(kPool, {0, 1}, {3}, cost_only()); + Case k(kPool, {0, 1}, {3}, shortest_paths_policy()); const auto r = k.place(2, kEdges); EXPECT_EQ(r.call_delivered, 2); EXPECT_EQ(r.termination, Termination::Complete); EXPECT_EQ(*r.edge_flows, (std::vector {1, 1, 1, 1})); EXPECT_EQ(rows(r), (std::vector {{0, kNone, 1, 1, 0, 0}, {1, kNone, 1, 1, 0, 0}})); EXPECT_EQ(k.records(), (decltype(k.records()) {{{{0, 1}, {2, 1}}, 1}, {{{1, 1}, {3, 1}}, 1}})); - Case inf(kPool, {0, 1}, {3}, cost_only()); + Case inf(kPool, {0, 1}, {3}, shortest_paths_policy()); const auto i = inf.place(std::nullopt); EXPECT_EQ(i.call_delivered, 2); EXPECT_EQ(i.termination, Termination::Exhausted); EXPECT_FALSE(i.requested.has_value()); EXPECT_FALSE(i.unadmitted.has_value()); EXPECT_FALSE(i.call_undelivered.has_value()); - Case w(kPool, {0, 1}, {3}, cost_only(RouteAllocation::Weighted)); + Case w(kPool, {0, 1}, {3}, shortest_paths_policy(RouteAllocation::Weighted)); EXPECT_EQ(w.place(2).call_delivered, 2); } // Each member's arrivals divided by what each source brought. TEST(Pooled, LossyAttributionByArrivals) { - Case k(kPool, {0, 1}, {3}, cost_only(RouteAllocation::Equal, Admission::Lossy)); + Case k(kPool, {0, 1}, {3}, shortest_paths_policy(RouteAllocation::Equal, Admission::Lossy)); const auto r = k.place(4); EXPECT_EQ(r.call_delivered, 2); EXPECT_EQ(r.call_edge_drops, (Drops {{2, 1}, {3, 1}})); @@ -304,15 +304,15 @@ TEST(Pooled, LossyAttributionByArrivals) { // source behind the zero edge nothing; Lossy drops its share on that edge. TEST(Pooled, EqualEntryThatCannotPass) { for (const auto& [edges, want] : {std::pair {kB3Z, Amount {0}}, std::pair {kB3P, Amount {1}}}) { - Case eb(edges, {0, 1}, {2}, cost_only()); + Case eb(edges, {0, 1}, {2}, shortest_paths_policy()); const auto r = eb.place(10); EXPECT_EQ(r.call_delivered, want); EXPECT_EQ(r.termination, Termination::Exhausted); EXPECT_EQ(eb.p->records().size(), 2U); - Case w(edges, {0, 1}, {2}, cost_only(RouteAllocation::Weighted)); + Case w(edges, {0, 1}, {2}, shortest_paths_policy(RouteAllocation::Weighted)); EXPECT_EQ(w.place(10).call_delivered, want); } - Case lossy(kB3Z, {0, 1}, {2}, cost_only(RouteAllocation::Equal, Admission::Lossy)); + Case lossy(kB3Z, {0, 1}, {2}, shortest_paths_policy(RouteAllocation::Equal, Admission::Lossy)); const auto l = lossy.place(10); EXPECT_EQ(l.call_delivered, 5); EXPECT_EQ(l.call_edge_drops, (Drops {{0, 5}})); @@ -322,7 +322,7 @@ TEST(Pooled, EqualEntryThatCannotPass) { // Weighted gives the zero edge weight 0; source 0's share has no member and is source loss. TEST(Pooled, WeightedZeroRouteIsSourceLoss) { - Case k(kB3Z, {0, 1}, {2}, cost_only(RouteAllocation::Weighted, Admission::Lossy)); + Case k(kB3Z, {0, 1}, {2}, shortest_paths_policy(RouteAllocation::Weighted, Admission::Lossy)); const auto r = k.place(10); EXPECT_EQ(r.call_delivered, 5); EXPECT_EQ(r.termination, Termination::Complete); @@ -334,12 +334,12 @@ TEST(Pooled, WeightedZeroRouteIsSourceLoss) { // P10, P11 on B1. TEST(Pooled, EqualOriginLimitsTheTotal) { - Case k(kB1, {0, 1}, {3}, cost_only()); + Case k(kB1, {0, 1}, {3}, shortest_paths_policy()); const auto r = k.place(12); EXPECT_EQ(r.call_delivered, 4); EXPECT_EQ(r.termination, Termination::Exhausted); EXPECT_EQ(rows(r), (std::vector {{0, kNone, 2, 2, 0, 0}, {1, kNone, 2, 2, 0, 0}})); - Case lossy(kB1, {0, 1}, {3}, cost_only(RouteAllocation::Equal, Admission::Lossy)); + Case lossy(kB1, {0, 1}, {3}, shortest_paths_policy(RouteAllocation::Equal, Admission::Lossy)); const auto l = lossy.place(12); EXPECT_EQ(l.call_delivered, 8); EXPECT_EQ(l.call_edge_drops, (Drops {{0, 4}})); @@ -347,18 +347,18 @@ TEST(Pooled, EqualOriginLimitsTheTotal) { // CHAIN: source 1's traffic passes source 0's router. TEST(Pooled, TransitThroughASource) { - Case k(kChain, {0, 1}, {2}, cost_only(RouteAllocation::Equal, Admission::Lossy)); + Case k(kChain, {0, 1}, {2}, shortest_paths_policy(RouteAllocation::Equal, Admission::Lossy)); const auto r = k.place(10); EXPECT_EQ(r.call_delivered, 3); EXPECT_EQ(r.call_edge_drops, (Drops {{0, 7}})); EXPECT_EQ(rows(r), (std::vector {{0, 5, 5, 2, 0, 3}, {1, 5, 5, 1, 0, 4}})); EXPECT_EQ(k.records(), (decltype(k.records()) {{{{0, 2}}, 2}, {{{0, 1}, {1, 5}}, 1}})); for (const auto& rec : k.p->records()) expect_conserved(*k.g, rec, "transit through a source"); - Case lossless(kChain, {0, 1}, {2}, cost_only()); + Case lossless(kChain, {0, 1}, {2}, shortest_paths_policy()); const auto l = lossless.place(std::nullopt); EXPECT_EQ(l.call_delivered, 3); EXPECT_EQ(rows(l), (std::vector {{0, kNone, 2, 2, 0, 0}, {1, kNone, 1, 1, 0, 0}})); - Case hop(kChain, {0, 1}, {2}, cost_only(RouteAllocation::Equal, Admission::Lossy)); + Case hop(kChain, {0, 1}, {2}, shortest_paths_policy(RouteAllocation::Equal, Admission::Lossy)); const auto h = hop.place(std::nullopt); EXPECT_EQ(h.call_delivered, 3); EXPECT_EQ(h.termination, Termination::Exhausted); @@ -371,7 +371,7 @@ TEST(Pooled, TransitThroughASource) { TEST(Pooled, ResidualWeightsOnTheCommonView) { auto residual_basis = sel(RouteTieBreak::FewerHops); residual_basis.weight_basis = WeightBasis::ResidualSnapshot; - auto snapshot = cost_only(RouteAllocation::Weighted, Admission::Lossless, residual_basis); + auto snapshot = shortest_paths_policy(RouteAllocation::Weighted, Admission::Lossless, residual_basis); Case k(kSnap, {0, 1}, {3}, snapshot, {}, {10, 10, 2, 10}); const auto r = k.place(std::nullopt); EXPECT_EQ(r.call_delivered, 12); @@ -386,7 +386,7 @@ TEST(Pooled, WeightsFrozenForTheEpoch) { EXPECT_EQ(other->place(8).call_delivered, 8); auto residual_basis = sel(RouteTieBreak::FewerHops); residual_basis.weight_basis = WeightBasis::ResidualSnapshot; - auto snapshot = cost_only(RouteAllocation::Weighted, Admission::Lossless, residual_basis); + auto snapshot = shortest_paths_policy(RouteAllocation::Weighted, Admission::Lossless, residual_basis); FlowPolicy p(fg, v({0, 1}), v({3}), snapshot); EXPECT_EQ(p.place(2).call_delivered, 2); other->remove(); @@ -397,7 +397,7 @@ TEST(Pooled, WeightsFrozenForTheEpoch) { // The first-hop experiment. TEST(Pooled, FirstHopExperiment) { - Case k(kPriv, {0, 1}, {2}, cost_only(RouteAllocation::Equal, Admission::Lossy)); + Case k(kPriv, {0, 1}, {2}, shortest_paths_policy(RouteAllocation::Equal, Admission::Lossy)); const auto r = k.place(std::nullopt); EXPECT_EQ(r.call_delivered, 10); EXPECT_EQ(lo(r.offered), 10); @@ -433,7 +433,7 @@ TEST(Pooled, RecordsStayOnTheirRoutesAndAccountExactly) { const auto a = pick(2) == 0 ? Admission::Lossless : Admission::Lossy; const auto choice = sel(RouteTieBreak::FewerHops, pick(3) != 0); FlowLedger fg(g); - FlowPolicy p(fg, s, t, cost_only(k, a, choice), &mask); + FlowPolicy p(fg, s, t, shortest_paths_policy(k, a, choice), &mask); const std::string where = "trial " + std::to_string(trial); for (int call = 0, calls = 1 + pick(3); call < calls; ++call) { const std::optional vol = pick(5) == 0 && call == calls - 1 ? std::nullopt : std::optional {pick(9)}; @@ -486,7 +486,7 @@ TEST(Pooled, RecordsStayOnTheirRoutesAndAccountExactly) { // ---------------------------------------------------------------- increments and zero calls TEST(Increments, LosslessRefusedUnitsStayRefused) { - Case k(kInc, {0, 1}, {2}, cost_only()); + Case k(kInc, {0, 1}, {2}, shortest_paths_policy()); const auto a = k.place(3); const auto b = k.place(1); EXPECT_EQ(a.call_delivered, 2); @@ -496,7 +496,7 @@ TEST(Increments, LosslessRefusedUnitsStayRefused) { EXPECT_EQ(lo(b.admitted), 2); EXPECT_EQ(lo(b.unadmitted), 2); EXPECT_FALSE(b.offered.has_value()); - Case lossy(kInc, {0, 1}, {2}, cost_only(RouteAllocation::Equal, Admission::Lossy)); + Case lossy(kInc, {0, 1}, {2}, shortest_paths_policy(RouteAllocation::Equal, Admission::Lossy)); const auto la = lossy.place(3); const auto lb = lossy.place(1); EXPECT_EQ(la.call_delivered, 2); @@ -510,9 +510,9 @@ TEST(Increments, LosslessRefusedUnitsStayRefused) { // Another owner holds 8, leaves, places 5. const auto g = graph(kOne); FlowLedger fg(g); - FlowPolicy other(fg, v({0}), v({1}), cost_only()); + FlowPolicy other(fg, v({0}), v({1}), shortest_paths_policy()); (void)other.place(8); - FlowPolicy p(fg, v({0}), v({1}), cost_only()); + FlowPolicy p(fg, v({0}), v({1}), shortest_paths_policy()); EXPECT_EQ(p.place(5).call_delivered, 2); other.remove(); (void)other.place(5); @@ -520,12 +520,12 @@ TEST(Increments, LosslessRefusedUnitsStayRefused) { EXPECT_EQ(r.call_delivered, 1); EXPECT_EQ(lo(r.requested), 6); EXPECT_EQ(lo(r.unadmitted), 3); - Case rc(kRc, {0}, {1}, cost_only(RouteAllocation::Equal, Admission::Lossy)); + Case rc(kRc, {0}, {1}, shortest_paths_policy(RouteAllocation::Equal, Admission::Lossy)); EXPECT_EQ(rc.place(1).call_delivered, 1); EXPECT_EQ(rc.place(1).call_delivered, 0); - Case rc2(kRc, {0}, {1}, cost_only(RouteAllocation::Equal, Admission::Lossy)); + Case rc2(kRc, {0}, {1}, shortest_paths_policy(RouteAllocation::Equal, Admission::Lossy)); EXPECT_EQ(rc2.place(2).call_delivered, 2); - Case rc3(kRc, {0}, {1}, cost_only()); + Case rc3(kRc, {0}, {1}, shortest_paths_policy()); EXPECT_EQ(rc3.place(1).call_delivered, 1); EXPECT_EQ(*rc3.place(1, kEdges).edge_flows, (std::vector {1, 1})); } @@ -534,7 +534,7 @@ TEST(Increments, LosslessRefusedUnitsStayRefused) { // remove(). TEST(Epochs, ZeroCallBeforePreparation) { for (const bool global : {false, true}) { - Case k(kPar, {0}, {1}, global ? glob() : cost_only(), {}, {4, 6}); + Case k(kPar, {0}, {1}, global ? glob() : shortest_paths_policy(), {}, {4, 6}); auto unprepared = [&](const PlacementResult& r) { EXPECT_EQ(r.call_delivered, 0); EXPECT_EQ(r.call_undelivered, 0); @@ -567,7 +567,7 @@ TEST(Epochs, ZeroCallBeforePreparation) { // ---------------------------------------------------------------- the controllers // One controller on the union of the sources' shortest routes. -TEST(CostOnlyMaxFlow, OptimizedPoolsTheRoster) { +TEST(ShortestPathsMaxFlow, OptimizedPoolsTheRoster) { struct Want { std::vector edges; std::vector s; @@ -585,7 +585,7 @@ TEST(CostOnlyMaxFlow, OptimizedPoolsTheRoster) { {kSpf, {0}, 1, std::nullopt, 5, 0, 0, {{}}}, }; for (const auto& w : wants) { - Case k(w.edges, w.s, {w.t}, cost_only(RouteAllocation::Optimized, Admission::Lossless, {}, w.source_allocation)); + Case k(w.edges, w.s, {w.t}, shortest_paths_policy(RouteAllocation::Optimized, Admission::Lossless, {}, w.source_allocation)); const auto r = k.place(w.request, kCut); EXPECT_EQ(r.call_delivered, w.delivered); EXPECT_EQ(r.termination, w.delivered == w.request ? Termination::Complete : Termination::Exhausted); @@ -596,7 +596,7 @@ TEST(CostOnlyMaxFlow, OptimizedPoolsTheRoster) { for (const auto& rec : k.p->records()) got.push_back(rec.edge_flows); EXPECT_EQ(got, w.records); } - Case r4(kR4, {0, 1}, {2}, cost_only(RouteAllocation::Optimized, Admission::Lossless, {}, SourceAllocation::Equal)); + Case r4(kR4, {0, 1}, {2}, shortest_paths_policy(RouteAllocation::Optimized, Admission::Lossless, {}, SourceAllocation::Equal)); EXPECT_EQ(r4.place(3).call_delivered, 3); EXPECT_EQ(r4.place(3).call_delivered, 1); EXPECT_EQ(*r4.place(0).total_cost, c(20)); @@ -657,7 +657,7 @@ TEST(GlobalEqual, Increments) { EXPECT_EQ(lo(b.unadmitted), 2); const auto g = graph(kOne); FlowLedger fg(g); - FlowPolicy other(fg, v({0}), v({1}), cost_only()); + FlowPolicy other(fg, v({0}), v({1}), shortest_paths_policy()); (void)other.place(8); FlowPolicy p(fg, v({0}), v({1}), glob()); EXPECT_EQ(p.place(5).call_delivered, 2); @@ -867,7 +867,7 @@ void certify_controllers(bool global) { std::vector view(g->edge_capacity_units().begin(), g->edge_capacity_units().end()); std::vector delivered_by_source_allocation; for (const auto source_allocation : {SourceAllocation::Equal, SourceAllocation::Optimized}) { - const auto cfg = global ? glob(source_allocation) : cost_only(RouteAllocation::Optimized, Admission::Lossless, {}, source_allocation); + const auto cfg = global ? glob(source_allocation) : shortest_paths_policy(RouteAllocation::Optimized, Admission::Lossless, {}, source_allocation); const std::string where = "trial " + std::to_string(trial) + (source_allocation == SourceAllocation::Equal ? " equal" : " optimized"); const auto r = evaluate_demand(*g, s, t, EvaluationOptions {cfg, &mask, nullptr, kEdges}); const auto& flows = *r.edge_flows; @@ -925,7 +925,7 @@ void certify_controllers(bool global) { TEST(GlobalEqual, Certificates) { certify_controllers(true); } -TEST(CostOnlyMaxFlow, Certificates) { certify_controllers(false); } +TEST(ShortestPathsMaxFlow, Certificates) { certify_controllers(false); } // total_cost is exact beyond 64 bits, for both controllers under both source allocations (the values as // hexadecimal halves {hi, lo}). One link of capacity = cost = 2^40: 2^80. Two sources, 0 -> 2 @@ -953,7 +953,7 @@ TEST(ResultShape, TotalCostBeyond64Bits) { for (const auto source_allocation : {SourceAllocation::Optimized, SourceAllocation::Equal}) { const Counter128 want = source_allocation == SourceAllocation::Optimized ? w.optimized : w.equal; for (const auto& cfg : - {glob(source_allocation), cost_only(RouteAllocation::Optimized, Admission::Lossless, {}, source_allocation)}) { + {glob(source_allocation), shortest_paths_policy(RouteAllocation::Optimized, Admission::Lossless, {}, source_allocation)}) { Case k(w.edges, w.s, {w.t}, cfg); EXPECT_EQ(*k.place(std::nullopt).total_cost, want); EXPECT_EQ(*evaluate_demand(*g, w.s, v({w.t}), EvaluationOptions {cfg}).total_cost, want); @@ -992,7 +992,7 @@ TEST(GlobalMinCut, Flag) { // ---------------------------------------------------------------- terminations and the result TEST(Terminations, Order) { - for (const auto& cfg : {glob(), cost_only(), cost_only(RouteAllocation::Equal, Admission::Lossy)}) { + for (const auto& cfg : {glob(), shortest_paths_policy(), shortest_paths_policy(RouteAllocation::Equal, Admission::Lossy)}) { Case k({{1, 0, 5, 1}}, {0}, {1}, cfg); EXPECT_EQ(k.place(0).termination, Termination::Complete); const auto r = k.place(5); @@ -1007,18 +1007,18 @@ TEST(Terminations, Order) { EXPECT_EQ(lo(r.unadmitted), 5); } } - Case w(kZero, {0}, {1}, cost_only(RouteAllocation::Weighted, Admission::Lossy)); + Case w(kZero, {0}, {1}, shortest_paths_policy(RouteAllocation::Weighted, Admission::Lossy)); const auto wr = w.place(2); EXPECT_EQ(wr.termination, Termination::NoActiveWeight); EXPECT_EQ(wr.call_source_drops, 2); EXPECT_EQ(lo(wr.offered), 2); - Case wl(kZero, {0}, {1}, cost_only(RouteAllocation::Weighted)); + Case wl(kZero, {0}, {1}, shortest_paths_policy(RouteAllocation::Weighted)); const auto wlr = wl.place(2); EXPECT_EQ(wlr.termination, Termination::NoActiveWeight); EXPECT_EQ(lo(wlr.unadmitted), 2); - Case lossy(kB1, {0, 1}, {3}, cost_only(RouteAllocation::Equal, Admission::Lossy)); + Case lossy(kB1, {0, 1}, {3}, shortest_paths_policy(RouteAllocation::Equal, Admission::Lossy)); EXPECT_EQ(lossy.place(12).termination, Termination::Complete); - Case unlimited(kPool, {0, 1}, {3}, cost_only()); + Case unlimited(kPool, {0, 1}, {3}, shortest_paths_policy()); EXPECT_EQ(unlimited.place(std::nullopt).termination, Termination::Exhausted); } @@ -1026,7 +1026,7 @@ TEST(Terminations, Order) { TEST(Terminations, ControllerAtZero) { Case g(kZero, {0}, {1}, glob()); EXPECT_EQ(g.place(5).termination, Termination::Exhausted); - Case m(kSpf, {0}, {1}, cost_only(RouteAllocation::Optimized)); + Case m(kSpf, {0}, {1}, shortest_paths_policy(RouteAllocation::Optimized)); EXPECT_EQ(m.place(5).termination, Termination::Exhausted); } @@ -1048,7 +1048,7 @@ TEST(ResultShape, LosslessAccounting) { // Lossy accounting: state versus call. TEST(ResultShape, LossyAccounting) { - Case k(kChain, {0, 1}, {2}, cost_only(RouteAllocation::Equal, Admission::Lossy)); + Case k(kChain, {0, 1}, {2}, shortest_paths_policy(RouteAllocation::Equal, Admission::Lossy)); const auto r = k.place(10); EXPECT_EQ(lo(r.requested), 10); EXPECT_EQ(lo(r.offered), 10); @@ -1057,7 +1057,7 @@ TEST(ResultShape, LossyAccounting) { EXPECT_EQ(lo(r.unadmitted), 0); EXPECT_EQ(lo(r.source_drops), 0); EXPECT_EQ(r.edge_drops, (Counters {{0, c(7)}})); - Case inc(kInc, {0, 1}, {2}, cost_only(RouteAllocation::Equal, Admission::Lossy)); + Case inc(kInc, {0, 1}, {2}, shortest_paths_policy(RouteAllocation::Equal, Admission::Lossy)); (void)inc.place(3); const auto b = inc.place(1); EXPECT_TRUE(b.call_edge_drops.empty()); @@ -1066,12 +1066,12 @@ TEST(ResultShape, LossyAccounting) { // A row for every input source; total_cost only for the controllers. TEST(ResultShape, RowsForEveryInputSource) { - Case k(kRows, {0, 1, 4}, {3}, cost_only(), {4}); + Case k(kRows, {0, 1, 4}, {3}, shortest_paths_policy(), {4}); EXPECT_EQ(rows(k.place(3)), (std::vector {{0, kNone, 3, 3, 0, 0}, {1, kNone, 0, 0, 0, 0}, {4, kNone, 0, 0, 0, 0}})); const auto g = graph(kB1); const Pinned pin = pinned_dags(*g, 0, 3, {dag_of(*g, {0})}); - for (const auto& cfg : {cost_only(), cost_only(RouteAllocation::Weighted)}) { + for (const auto& cfg : {shortest_paths_policy(), shortest_paths_policy(RouteAllocation::Weighted)}) { FlowLedger fg(g); EXPECT_FALSE(FlowPolicy(fg, v({0, 1}), v({3}), cfg).place(1).total_cost.has_value()); } @@ -1084,7 +1084,7 @@ TEST(ResultShape, RowsForEveryInputSource) { FlowLedger fs(g); EXPECT_EQ(*FlowPolicy(fs, v({0}), v({3}), FlowPolicyConfig {.routing = centralized(SourceAllocation::Optimized, dag_of(*g, {0}))}).place(1).total_cost, c(1)); - Case mf(kB1, {0, 1}, {3}, cost_only(RouteAllocation::Optimized)); + Case mf(kB1, {0, 1}, {3}, shortest_paths_policy(RouteAllocation::Optimized)); EXPECT_EQ(*mf.place(12).total_cost, c(32)); } @@ -1117,14 +1117,14 @@ TEST(Evaluators, CapacityUnderBothOrigins) { const std::vector> wants = { {glob(SourceAllocation::Equal), 4}, {glob(), 12}, - {cost_only(RouteAllocation::Optimized), 12}, - {cost_only(RouteAllocation::Optimized, Admission::Lossless, {}, SourceAllocation::Equal), 4}, - {cost_only(), 4}, + {shortest_paths_policy(RouteAllocation::Optimized), 12}, + {shortest_paths_policy(RouteAllocation::Optimized, Admission::Lossless, {}, SourceAllocation::Equal), 4}, + {shortest_paths_policy(), 4}, }; for (const auto& [cfg, delivered] : wants) EXPECT_EQ(evaluate_demand(*g, v({0, 1}), v({3}), EvaluationOptions {cfg}).call_delivered, delivered); - EXPECT_EQ(evaluate_demand(*graph(kPool), v({0, 1}), v({3}), EvaluationOptions {cost_only()}).call_delivered, 2); + EXPECT_EQ(evaluate_demand(*graph(kPool), v({0, 1}), v({3}), EvaluationOptions {shortest_paths_policy()}).call_delivered, 2); const auto r = evaluate_demand(*graph(kPriv), v({0, 1}), v({2}), - EvaluationOptions {cost_only(RouteAllocation::Equal, Admission::Lossy)}); + EvaluationOptions {shortest_paths_policy(RouteAllocation::Equal, Admission::Lossy)}); EXPECT_EQ(r.delivered, 10); EXPECT_EQ(lo(r.offered), 10); EXPECT_FALSE(r.requested.has_value()); @@ -1142,7 +1142,7 @@ TEST(Evaluators, BatchEqual) { // The pooled single-path rule per pair, the lowest failing pair. TEST(Evaluators, BatchQ12PerPair) { const auto g = graph(kPool); - const EvaluationOptions opts {cost_only(RouteAllocation::Equal, Admission::Lossless, kPreferPath)}; + const EvaluationOptions opts {shortest_paths_policy(RouteAllocation::Equal, Admission::Lossless, kPreferPath)}; const std::vector, std::vector>> bad = {{{0}, {3}}, {{0, 1}, {3}}}; EXPECT_EQ(error_of([&] { (void)evaluate_pairs(*g, bad, opts, {}, 1); }), kQ12); const std::vector, std::vector>> good = {{{0}, {3}}, {{1}, {3}}}; @@ -1162,7 +1162,7 @@ TEST(Evaluators, SensitivityEqualGlobal) { // Pooled ShortestPaths: deleting e0 takes source 0 out of the roster. TEST(Evaluators, SensitivityPooled) { - const auto r = evaluate_edge_failures(*graph(kB1), v({0, 1}), v({3}), EvaluationOptions {cost_only()}, 1); + const auto r = evaluate_edge_failures(*graph(kB1), v({0, 1}), v({3}), EvaluationOptions {shortest_paths_policy()}, 1); EXPECT_EQ(r.baseline.call_delivered, 4); std::vector> got; for (const auto& e : r.entries) got.emplace_back(e.edge, e.delivery_reduction); diff --git a/tests/cpp/program_tests.cpp b/tests/cpp/program_tests.cpp index 11d0eef..c48ee10 100644 --- a/tests/cpp/program_tests.cpp +++ b/tests/cpp/program_tests.cpp @@ -26,6 +26,7 @@ #include "netgraph/core/shortest_path_cache.hpp" #include "netgraph/core/detail/forwarding.hpp" +#include "netgraph/core/detail/sparse.hpp" #include "netgraph/core/detail/route_kernels.hpp" #include "netgraph/core/detail/policy_engine.hpp" #include "netgraph/core/detail/private_hooks.hpp" @@ -172,11 +173,11 @@ Pol make(const std::shared_ptr& g, const std::vector& s, co return out; } -FlowPolicyConfig cost_only(RouteAllocation placement = EB, Admission admission = LOSSLESS) { - return FlowPolicyConfig {.routing = shortest_paths(placement), .admission = admission}; +FlowPolicyConfig shortest_paths_policy(RouteAllocation placement = EB, Admission admission = LOSSLESS) { + return FlowPolicyConfig {.routing = netgraph::core::test::shortest_paths(placement), .admission = admission}; } FlowPolicyConfig weighted(Admission admission, WeightBasis basis, std::vector edge_weights = {}) { - ShortestPaths sp = shortest_paths(W); + ShortestPaths sp = netgraph::core::test::shortest_paths(W); sp.weight_basis = basis; if (basis == WeightBasis::Explicit) sp.edge_weights = std::make_shared>(std::move(edge_weights)); return FlowPolicyConfig {.routing = sp, .admission = admission}; @@ -293,9 +294,9 @@ TEST(ProgramExport, SingleSourceDecomposed) { } // ShortestPaths Optimized exports its controller's paths. -TEST(ProgramExport, CostOnlyMaxFlow) { +TEST(ProgramExport, ShortestPathsMaxFlow) { const auto g = graph(4, kES); - auto p = make(g, {0}, {3}, cost_only(MF)); + auto p = make(g, {0}, {3}, shortest_paths_policy(MF)); const auto r = p->place(12); EXPECT_EQ(r.call_delivered, 2); EXPECT_EQ(listing(*r.program), (Listing {{0, {0, 2}, 2}})); @@ -303,9 +304,9 @@ TEST(ProgramExport, CostOnlyMaxFlow) { } // A ShortestPaths split program lists no tunnel. -TEST(ProgramExport, CostOnlySplit) { +TEST(ProgramExport, ShortestPathsSplit) { const auto g = graph(4, kPool2); - auto p = make(g, {0, 1}, {3}, cost_only()); + auto p = make(g, {0, 1}, {3}, shortest_paths_policy()); const auto r = p->place(2); ASSERT_TRUE(r.program); EXPECT_TRUE(r.program->tunnels().empty()); @@ -327,7 +328,7 @@ TEST(ProgramExport, ZeroSupplyKept) { // No program before the first positive call; a zero call reports none. TEST(ProgramExport, NoneBeforePreparation) { const auto g = graph(3, {{0, 2, 5, 1}, {1, 2, 5, 1}}); - for (const auto& cfg : {global(), cost_only()}) { + for (const auto& cfg : {global(), shortest_paths_policy()}) { auto p = make(g, {0, 1}, {2}, cfg); EXPECT_EQ(p->program(), nullptr); const auto z = p->place(0); @@ -369,7 +370,7 @@ TEST(ProgramExport, MaskSaved) { // An empty roster installs an empty program. TEST(ProgramExport, EmptyRoster) { const auto g = graph(2, kOne); - auto p = make(g, {0}, {1}, cost_only(), no_nodes(*g, {0})); + auto p = make(g, {0}, {1}, shortest_paths_policy(), no_nodes(*g, {0})); const auto r = p->place(1); EXPECT_EQ(r.termination, Termination::NoRoute); ASSERT_TRUE(r.program); @@ -468,7 +469,7 @@ TEST(WeightBases, Explicit) { const auto g = par2(10, 10); EXPECT_EQ(*make(g, {0}, {1}, weighted(LOSSY, WeightBasis::Explicit, {1, 2}))->place(12, kEdges).edge_flows, (Amounts {4, 8})); - EXPECT_EQ(*make(g, {0}, {1}, cost_only(W, LOSSY))->place(12, kEdges).edge_flows, (Amounts {6, 6})); + EXPECT_EQ(*make(g, {0}, {1}, shortest_paths_policy(W, LOSSY))->place(12, kEdges).edge_flows, (Amounts {6, 6})); const auto ll = weighted(LOSSLESS, WeightBasis::Explicit, {1, 2}); EXPECT_EQ(make(g, {0}, {1}, ll)->place(INF).call_delivered, 15); EXPECT_EQ(evaluate_demand(*g, v({0}), v({1}), query(ll)).call_delivered, 15); @@ -512,7 +513,7 @@ TEST(WeightBases, Snapshot) { const auto g = par2(10, 10); const Amounts base = {2, 10}; auto ledger = [&] { return std::make_shared(g, base); }; - EXPECT_EQ(make(g, {0}, {1}, cost_only(W), nullptr, ledger())->place(12).call_delivered, 4); + EXPECT_EQ(make(g, {0}, {1}, shortest_paths_policy(W), nullptr, ledger())->place(12).call_delivered, 4); EXPECT_EQ(make(g, {0}, {1}, weighted(LOSSLESS, WeightBasis::ResidualSnapshot), nullptr, ledger())->place(12).call_delivered, 12); } @@ -520,7 +521,7 @@ TEST(WeightBases, Snapshot) { // The tie rule never chooses weights (CAPACITY is the default). TEST(WeightBases, TieRuleIsNotAWeight) { const auto g = par2(10, 10); - auto cfg = cost_only(W); + auto cfg = shortest_paths_policy(W); auto p = make(g, {0}, {1}, cfg, nullptr, std::make_shared(g, Amounts {2, 10})); EXPECT_EQ(p->place(12).call_delivered, 4); EXPECT_EQ(std::get(p->config().routing).weight_basis, WeightBasis::Capacity); @@ -557,7 +558,7 @@ TEST(WeightBases, AllZeroIsNoActiveWeight) { // Weighted with HIGHER_HEADROOM is accepted (ShortestPaths): the single path is e1. TEST(WeightBases, WeightedWithHeadroom) { const auto g = par2(10, 10); - ShortestPaths headroom = shortest_paths(W); + ShortestPaths headroom = netgraph::core::test::shortest_paths(W); headroom.tie_break = RouteTieBreak::HigherHeadroom; headroom.multipath = false; const FlowPolicyConfig cfg {.routing = headroom}; @@ -589,13 +590,13 @@ TEST(WeightBases, MatrixTexts) { return cfg; }; const std::vector> cases = { - {with(cost_only(), WeightBasis::Capacity, std::nullopt), "weight_basis requires allocation=WEIGHTED"}, - {with(cost_only(), std::nullopt, Amounts {1, 1}), "edge_weights require weight_basis=EXPLICIT"}, - {with(cost_only(W), WeightBasis::Explicit, std::nullopt), "weight_basis=EXPLICIT requires edge_weights"}, - {with(cost_only(W), WeightBasis::Capacity, Amounts {1, 1}), "edge_weights require weight_basis=EXPLICIT"}, - {with(cost_only(W), WeightBasis::Explicit, Amounts {1, 2, 3}), "edge_weights: expected 2 entries"}, - {with(cost_only(W), WeightBasis::Explicit, Amounts {1, kL62}), "edge_weights[1] must be an integer in [0, 2^62)"}, - {with(cost_only(W), WeightBasis::Explicit, Amounts {-1, 1}), "edge_weights[0] must be an integer in [0, 2^62)"}, + {with(shortest_paths_policy(), WeightBasis::Capacity, std::nullopt), "weight_basis requires allocation=WEIGHTED"}, + {with(shortest_paths_policy(), std::nullopt, Amounts {1, 1}), "edge_weights require weight_basis=EXPLICIT"}, + {with(shortest_paths_policy(W), WeightBasis::Explicit, std::nullopt), "weight_basis=EXPLICIT requires edge_weights"}, + {with(shortest_paths_policy(W), WeightBasis::Capacity, Amounts {1, 1}), "edge_weights require weight_basis=EXPLICIT"}, + {with(shortest_paths_policy(W), WeightBasis::Explicit, Amounts {1, 2, 3}), "edge_weights: expected 2 entries"}, + {with(shortest_paths_policy(W), WeightBasis::Explicit, Amounts {1, kL62}), "edge_weights[1] must be an integer in [0, 2^62)"}, + {with(shortest_paths_policy(W), WeightBasis::Explicit, Amounts {-1, 1}), "edge_weights[0] must be an integer in [0, 2^62)"}, }; for (const auto& [cfg, text] : cases) { EXPECT_EQ(error_of([&] { FlowPolicy p(fg, v({0}), v({1}), cfg); }), text); @@ -908,7 +909,7 @@ TEST(PinnedProgram, Increments) { EXPECT_EQ(lo(r2.by_source[1].offered), 2); const auto one = graph(2, kOne); auto ledger = std::make_shared(one); - auto other = make(one, {0}, {1}, cost_only(), nullptr, ledger); + auto other = make(one, {0}, {1}, shortest_paths_policy(), nullptr, ledger); (void)other->place(8); auto t = pinned(one, tunnels(*one, {0}, {1}, {{0, {0}, 1}}), LOSSLESS, nullptr, nullptr, ledger); EXPECT_EQ(t->place(5).call_delivered, 2); @@ -950,7 +951,7 @@ TEST(PinnedProgram, SplitContextsAreSeparate) { const auto r = pinned(g, prog, LOSSY)->replace(2, std::nullopt, kEdges); EXPECT_EQ(r.call_edge_drops, (Drops {{0, 1}})); EXPECT_EQ(*r.edge_flows, (Amounts {1, 0})); - const auto pooled = make(g, {0}, {1}, cost_only())->place(INF, kEdges); + const auto pooled = make(g, {0}, {1}, shortest_paths_policy())->place(INF, kEdges); EXPECT_EQ(pooled.call_delivered, 2); EXPECT_EQ(*pooled.edge_flows, (Amounts {1, 1})); } @@ -1281,7 +1282,7 @@ TEST(Replay, AllRemainingWeightsZero) { // A stale remote tail repaired: the branch 0 -> 2 is pruned. TEST(Replay, SplitRoutePruned) { const auto g = graph(4, kDiam); - auto producer = make(g, {0}, {3}, cost_only(EB, LOSSY)); + auto producer = make(g, {0}, {3}, shortest_paths_policy(EB, LOSSY)); const auto prog = producer->place(1).program; const auto r = pinned(g, prog, LOSSY, no_edges(*g, {3}))->replace(100, std::nullopt, kEdges); EXPECT_EQ(r.call_delivered, 100); @@ -1301,7 +1302,7 @@ TEST(Replay, TunnelFailedByNode) { // Weights frozen at preparation: a member pruned there stays pruned in every replay. TEST(Replay, FrozenWeights) { const auto z = par2(0, 10); - auto producer = make(z, {0}, {1}, cost_only(W, LOSSY)); + auto producer = make(z, {0}, {1}, shortest_paths_policy(W, LOSSY)); const auto wp = producer->place(1).program; const auto r = pinned(z, wp, LOSSY)->replace(5); EXPECT_EQ(r.call_delivered, 5); @@ -1326,7 +1327,7 @@ TEST(Replay, FrozenWeights) { TEST(StaleForwarding, RemoteTail) { { const auto g = graph(4, kDiam); - auto p = make(g, {0}, {3}, cost_only(EB, LOSSY)); + auto p = make(g, {0}, {3}, shortest_paths_policy(EB, LOSSY)); (void)p->replace(100); const auto installed = p->program(); const auto bh = g->eligibility({}, std::vector {3}); @@ -1339,7 +1340,7 @@ TEST(StaleForwarding, RemoteTail) { } { const auto w = graph(2, {{0, 1, 10, 1}, {0, 1, 40, 1}}); - auto q = make(w, {0}, {1}, cost_only(W, LOSSY)); + auto q = make(w, {0}, {1}, shortest_paths_policy(W, LOSSY)); (void)q->replace(40); const auto bh = w->eligibility({}, std::vector {0}); const auto r = q->forward(40, &bh); @@ -1348,7 +1349,7 @@ TEST(StaleForwarding, RemoteTail) { } { const auto wz = graph(2, {{0, 1, 0, 1}, {0, 1, 40, 1}}); - auto q = make(wz, {0}, {1}, cost_only(W, LOSSY)); + auto q = make(wz, {0}, {1}, shortest_paths_policy(W, LOSSY)); (void)q->replace(1); EXPECT_EQ(q->forward(40).call_delivered, 40); } @@ -1369,7 +1370,7 @@ TEST(StaleForwarding, RemoteTail) { } { const auto pool = graph(4, kPool2); - auto p = make(pool, {0, 1}, {3}, cost_only(EB, LOSSY)); + auto p = make(pool, {0, 1}, {3}, shortest_paths_policy(EB, LOSSY)); (void)p->replace(0); const auto r = p->forward(2, nullptr, kEdges); EXPECT_EQ(r.call_delivered, 2); @@ -1381,7 +1382,7 @@ TEST(StaleForwarding, RemoteTail) { } { const auto zero = graph(2, {{0, 1, 0, 1}}); - auto q = make(zero, {0}, {1}, cost_only(W, LOSSY)); + auto q = make(zero, {0}, {1}, shortest_paths_policy(W, LOSSY)); (void)q->replace(0); const auto r = q->forward(2); EXPECT_EQ(r.source_drops, c(2)); @@ -1389,7 +1390,7 @@ TEST(StaleForwarding, RemoteTail) { } { const auto one = graph(2, kOne); - auto q = make(one, {0}, {1}, cost_only(EB, LOSSY)); + auto q = make(one, {0}, {1}, shortest_paths_policy(EB, LOSSY)); (void)q->replace(0); const auto bh = one->eligibility(std::vector {0}, {}); const auto r = q->forward(10, &bh); @@ -1432,7 +1433,7 @@ TEST(StaleForwarding, AllAllowedIsNone) { EXPECT_EQ(with.call_delivered, 12); EXPECT_EQ(with.call_edge_drops, without.call_edge_drops); // A forward with an all-allowed value equals a forward without. - auto p = make(g, {0}, {3}, cost_only(EB, LOSSY)); + auto p = make(g, {0}, {3}, shortest_paths_policy(EB, LOSSY)); (void)p->replace(12); const auto all = g->eligibility(); EXPECT_EQ(p->forward(12, &all).call_delivered, p->forward(12).call_delivered); @@ -1460,7 +1461,7 @@ TEST(StaleForwarding, EveryOperation) { // Evaluate publishes nothing: ledger, records and epoch counters unchanged. TEST(Operations, EvaluatePublishesNothing) { const auto g = par2(10, 10); - auto p = make(g, {0}, {1}, cost_only()); + auto p = make(g, {0}, {1}, shortest_paths_policy()); (void)p->replace(6); const auto ledger = ledger_state(*p.ledger); const auto before = epoch(*p.p); @@ -1476,7 +1477,7 @@ TEST(Operations, EvaluatePublishesNothing) { // Replace retires the old ids and starts a new epoch. TEST(Operations, ReplaceRetiresIds) { const auto g = par2(10, 10); - auto p = make(g, {0}, {1}, cost_only()); + auto p = make(g, {0}, {1}, shortest_paths_policy()); (void)p->place(4); const auto old = p->records().front().flow_id; const auto r = p->replace(6); @@ -1522,7 +1523,7 @@ TEST(Operations, IdenticalReplace) { // The forward texts. TEST(Operations, ForwardTexts) { const auto g = par2(10, 10); - auto p = make(g, {0}, {1}, cost_only(EB, LOSSY)); + auto p = make(g, {0}, {1}, shortest_paths_policy(EB, LOSSY)); EXPECT_EQ(error_of([&] { (void)p->forward(1); }), kNoProgram); (void)p->place(1); for (const auto& call : std::vector> {[&] { (void)p->forward(INF); }, @@ -1548,7 +1549,7 @@ TEST(Operations, ForwardOrder) { const auto foreign = other->eligibility({}, std::vector {0}); auto pin = pinned(g, tunnels(*g, {0}, {1}, {{0, {0}, 1}})); EXPECT_EQ(error_of([&] { (void)pin->forward(INF, &foreign); }), "Pinned forwards with replace"); - auto p = make(g, {0}, {1}, cost_only(EB, LOSSY)); + auto p = make(g, {0}, {1}, shortest_paths_policy(EB, LOSSY)); EXPECT_EQ(error_of([&] { (void)p->forward(-1); }), "offer must be an integer in [0, 2^62) or permitted +inf"); (void)p->place(1); EXPECT_EQ(error_of([&] { (void)p->forward(-1, &foreign); }), "offer must be an integer in [0, 2^62) or permitted +inf"); @@ -1560,7 +1561,7 @@ TEST(Operations, ForwardOrder) { // Lossless replace(+inf): the bound, EXHAUSTED. TEST(Operations, LosslessInfinite) { - const auto r = make(par2(10, 10), {0}, {1}, cost_only())->replace(INF); + const auto r = make(par2(10, 10), {0}, {1}, shortest_paths_policy())->replace(INF); EXPECT_EQ(r.call_delivered, 20); EXPECT_FALSE(r.call_undelivered.has_value()); EXPECT_EQ(r.termination, Termination::Exhausted); @@ -1569,7 +1570,7 @@ TEST(Operations, LosslessInfinite) { // A zero replace installs a program of two split routes and two records at zero. TEST(Operations, ZeroReplacePrograms) { const auto g = graph(4, kPool2); - auto p = make(g, {0, 1}, {3}, cost_only()); + auto p = make(g, {0, 1}, {3}, shortest_paths_policy()); const auto r = p->replace(0); EXPECT_EQ(r.termination, Termination::Complete); EXPECT_TRUE(r.routes_changed); @@ -1580,7 +1581,7 @@ TEST(Operations, ZeroReplacePrograms) { // A smaller replace: delivery_delta negative. TEST(Operations, DeliveryDeltaNegative) { - auto p = make(par2(10, 10), {0}, {1}, cost_only()); + auto p = make(par2(10, 10), {0}, {1}, shortest_paths_policy()); (void)p->replace(10); const auto r = p->replace(4); EXPECT_EQ(r.call_delivered, 4); @@ -1590,7 +1591,7 @@ TEST(Operations, DeliveryDeltaNegative) { // Place continues the replace's epoch (its ids kept). TEST(Operations, PlaceContinuesTheEpoch) { const auto g = par2(10, 10); - auto p = make(g, {0}, {1}, cost_only()); + auto p = make(g, {0}, {1}, shortest_paths_policy()); (void)p->replace(6); const auto before = ids(*p.p); const auto r = p->place(3); @@ -1598,7 +1599,7 @@ TEST(Operations, PlaceContinuesTheEpoch) { EXPECT_EQ(r.requested, c(9)); EXPECT_EQ(r.admitted, c(9)); EXPECT_EQ(ids(*p.p), before); - auto q = make(g, {0}, {1}, cost_only(EB, LOSSY)); + auto q = make(g, {0}, {1}, shortest_paths_policy(EB, LOSSY)); (void)q->replace(6); const auto lr = q->place(3); EXPECT_EQ(lr.call_delivered, 3); @@ -1641,7 +1642,7 @@ TEST(Operations, OfferOnly) { EXPECT_FALSE(r.routes_changed || r.weights_changed) << x; EXPECT_NE(ids(*pin.p), before); } - auto cost = make(par2(10, 10), {0}, {1}, cost_only(EB, LOSSY)); + auto cost = make(par2(10, 10), {0}, {1}, shortest_paths_policy(EB, LOSSY)); (void)cost->place(1); for (const Amount x : {5, 7}) { const auto r = cost->forward(x); @@ -1662,7 +1663,7 @@ TEST(Operations, ForwardControllerProgram) { // remove() clears the program. TEST(Operations, RemoveClearsTheProgram) { - for (const auto& cfg : {global(), cost_only()}) { + for (const auto& cfg : {global(), shortest_paths_policy()}) { auto p = make(par2(10, 10), {0}, {1}, cfg); (void)p->place(3); EXPECT_NE(p->program(), nullptr); @@ -1678,7 +1679,7 @@ TEST(Operations, RemoveClearsTheProgram) { // ShortestPaths's first positive call sets both flags; the next none. TEST(Operations, FirstProgramFlags) { - auto q = make(graph(4, kPool2), {0, 1}, {3}, cost_only()); + auto q = make(graph(4, kPool2), {0, 1}, {3}, shortest_paths_policy()); const auto r = q->place(2); EXPECT_TRUE(r.routes_changed && r.weights_changed); const auto r2 = q->place(2); @@ -1702,7 +1703,7 @@ TEST(Operations, RejectedCallsChangeNothing) { const auto g = par2(10, 10); const auto other = par2(1, 1); const auto foreign = other->eligibility({}, std::vector {0}); - auto p = make(g, {0}, {1}, cost_only(EB, LOSSY)); + auto p = make(g, {0}, {1}, shortest_paths_policy(EB, LOSSY)); (void)p->place(4); const auto ledger = ledger_state(*p.ledger); const auto before = epoch(*p.p); @@ -1712,7 +1713,7 @@ TEST(Operations, RejectedCallsChangeNothing) { {"evaluate", [&] { (void)p->evaluate(INF); }}, {"replace", [&] { (void)p->replace(-1); }}, {"forward", [&] { (void)p->forward(1, &foreign); }}, - {"capacity", [&] { (void)evaluate_demand(*g, v({0}), v({1}), query(cost_only(EB, LOSSY), offer(-5))); }}, + {"capacity", [&] { (void)evaluate_demand(*g, v({0}), v({1}), query(shortest_paths_policy(EB, LOSSY), offer(-5))); }}, }; for (const auto& [name, call] : calls) { EXPECT_NE(error_of(call), "") << name; @@ -1738,7 +1739,7 @@ TEST(Operations, RejectedCallsChangeNothing) { // ShortestPaths and CentralizedTE records have no entry; a Pinned record carries its entry identifier. TEST(ProgramRecords, Fields) { const auto g = graph(4, kB1); - for (const auto& cfg : {global(), cost_only()}) { + for (const auto& cfg : {global(), shortest_paths_policy()}) { auto p = make(g, {0, 1}, {3}, cfg); (void)p->place(4); for (const auto& e : entries(*p.p)) EXPECT_FALSE(e.has_value()); @@ -1793,7 +1794,7 @@ TEST(ProgramRecords, FailedEntry) { // router's traffic by highest averages). TEST(ProgramRecords, PooledContext) { const auto g = graph(4, kPool2); - auto producer = make(g, {0, 1}, {3}, cost_only(EB, LOSSY)); + auto producer = make(g, {0, 1}, {3}, shortest_paths_policy(EB, LOSSY)); const auto prog = producer->place(2).program; auto p = pinned(g, prog, LOSSY); (void)p->replace(2); @@ -1812,7 +1813,7 @@ TEST(ProgramResults, ByTunnel) { EXPECT_EQ(rows(y8), (Rows {{0, 0, UP, 6, 2, 4}, {1, 0, UP, 6, 6, 0}})); const auto b1 = graph(4, kB1); EXPECT_EQ(rows(make(b1, {0, 1}, {3}, global())->place(12)), (Rows {{0, 0, UP, 2, 2, 0}, {1, 1, UP, 10, 10, 0}})); - EXPECT_TRUE(make(graph(4, kPool2), {0, 1}, {3}, cost_only())->place(2).by_tunnel.empty()); + EXPECT_TRUE(make(graph(4, kPool2), {0, 1}, {3}, shortest_paths_policy())->place(2).by_tunnel.empty()); // A zero call reports the state's rows. auto p = pinned(pl, tunnels(*pl, {0}, {3}, {{0, {0, 2}, 1}, {0, {1, 3}, 1}}), LOSSY); (void)p->replace(12); @@ -1821,7 +1822,7 @@ TEST(ProgramResults, ByTunnel) { // RC02-zero-unprepared extended: no program, no rows. TEST(ProgramResults, ZeroUnprepared) { - for (const auto& cfg : {global(), cost_only()}) { + for (const auto& cfg : {global(), shortest_paths_policy()}) { auto p = make(par2(4, 6), {0}, {1}, cfg); const auto z = p->place(0); EXPECT_EQ(z.program, nullptr); @@ -1895,10 +1896,10 @@ TEST(QueryOptionsEval, Texts) { const std::string domain = "offer must be an integer in [0, 2^62)"; EXPECT_EQ(err(query(pinned_config(prog, LOSSY))), "Pinned LOSSY evaluation requires a finite offer"); EXPECT_EQ(err(query(pinned_config(prog, LOSSY), offer_inf())), domain); - EXPECT_EQ(err(query(cost_only(), offer_inf())), domain); + EXPECT_EQ(err(query(shortest_paths_policy(), offer_inf())), domain); // A finite offer for every model under each admission it supports. - EXPECT_EQ(delivered(query(cost_only(EB, LOSSY), offer(5))), 5); - EXPECT_EQ(delivered(query(cost_only(), offer(5))), 5); + EXPECT_EQ(delivered(query(shortest_paths_policy(EB, LOSSY), offer(5))), 5); + EXPECT_EQ(delivered(query(shortest_paths_policy(), offer(5))), 5); EXPECT_EQ(delivered(query(global(), offer(5))), 5); EXPECT_EQ(delivered(query(pinned_config(prog), offer(5))), 5); auto designed = query(capacity_aware(), offer(5)); @@ -2189,7 +2190,7 @@ TEST(ProgramLayouts, BorrowedViewReadsItsProgram) { EXPECT_FALSE(copy.is_blackholed_source(0)); } -// An epoch is a value: its copy keeps the cohorts, the program, the rows and the counters after +// An epoch is a value: its copy keeps the record_groups, the program, the rows and the counters after // the policy that held the original has moved on and been destroyed. TEST(ProgramLayouts, EpochCopyOwnsItsStorage) { const auto g = graph(4, kPinloss); @@ -2400,7 +2401,7 @@ TEST(FromDag, EqualsShortestPaths) { o.allocation = k; const auto program = from_dag(*g, {0, 1, 2, 3}, o); for (const Amount offer : {1, 2, 3, 4, 5}) { - auto a = make(g, v({0, 1}), v({3}), cost_only(k, LOSSY), mask); + auto a = make(g, v({0, 1}), v({3}), shortest_paths_policy(k, LOSSY), mask); auto b = make(g, v({0, 1}), v({3}), FlowPolicyConfig {.routing = Pinned {program, nullptr}, .admission = LOSSY}, mask); const auto x = a->place(offer); const auto y = b->place(offer); @@ -2412,7 +2413,7 @@ TEST(FromDag, EqualsShortestPaths) { EXPECT_EQ(x.by_source[i].total_edge_drops, y.by_source[i].total_edge_drops) << offer; } } - auto a = make(g, v({0, 1}), v({3}), cost_only(k), mask); + auto a = make(g, v({0, 1}), v({3}), shortest_paths_policy(k), mask); auto b = make(g, v({0, 1}), v({3}), FlowPolicyConfig {.routing = Pinned {program, nullptr}}, mask); const Amount bound = a->place(INF).call_delivered; EXPECT_EQ(bound, b->place(INF).call_delivered); @@ -2544,3 +2545,18 @@ TEST(ForwardingSize, TheCallChecksEachCountInOrder) { GTEST_SKIP() << "a lowered limit needs the private hooks"; #endif } + + +TEST(Program, SparseMemberAmountsPreserveOrderAndOwnTheirStorage) { + std::vector members {9, 2, 7, 1}; + std::vector amounts {0, 3, 0, kDomainLimit - 1}; + const auto pairs = detail::nonzero_pairs(members, amounts); + EXPECT_EQ(pairs, (std::vector> {{2, 3}, {1, kDomainLimit - 1}})); + members[1] = 8; + amounts[1] = 5; + EXPECT_EQ(pairs, (std::vector> {{2, 3}, {1, kDomainLimit - 1}})); + EXPECT_TRUE(detail::nonzero_pairs({}, {}).empty()); + EXPECT_TRUE(detail::nonzero_pairs(members, std::vector(4, 0)).empty()); + EXPECT_EQ(detail::nonzero_pairs(std::vector {4}, std::vector {1}), + (std::vector> {{4, 1}})); +} diff --git a/tests/cpp/shortest_path_cache_tests.cpp b/tests/cpp/shortest_path_cache_tests.cpp index c64a64f..3cad371 100644 --- a/tests/cpp/shortest_path_cache_tests.cpp +++ b/tests/cpp/shortest_path_cache_tests.cpp @@ -220,8 +220,8 @@ TEST(DagCacheModes, RouteChoiceIsNoPartOfTheKeyAndClearReleasesUnheldValues) { // Two ShortestPaths policies differing only in their route choice share one entry (the route // choice is a projection at creation, never part of the key). FlowLedger fg(g); - FlowPolicy a(fg, v({0}), v({3}), cost_only_config(), nullptr, &cache); - auto other_choice = cost_only_config(); + FlowPolicy a(fg, v({0}), v({3}), shortest_paths_config(), nullptr, &cache); + auto other_choice = shortest_paths_config(); ShortestPaths single_member; single_member.tie_break = RouteTieBreak::HigherAvailableCapacity; single_member.multipath = false; @@ -307,7 +307,7 @@ TEST(DagCacheFrozen, SharedByEveryWorkerOfABatch) { const std::vector, std::vector>> pairs = { {v({0}), v({3})}, {v({1}), v({4})}, {v({2}), v({5})}, {v({0, 1}), v({3, 4})}}; const OutputOptions all {true, true, true}; - const auto want = evaluate_pairs(*g, pairs, EvaluationOptions {cost_only_config(), nullptr, nullptr, all}, {}, 1); + const auto want = evaluate_pairs(*g, pairs, EvaluationOptions {shortest_paths_config(), nullptr, nullptr, all}, {}, 1); for (const auto& r : want) EXPECT_GT(r.call_delivered, 0); // every pair places: the comparison is not of zeros for (int workers : {1, 2, 4}) { ShortestPathCache cache(*g); @@ -315,12 +315,12 @@ TEST(DagCacheFrozen, SharedByEveryWorkerOfABatch) { // A building cache with two or more workers is rejected; frozen, it is shared. if (workers > 1) { EXPECT_THROW( - (void)evaluate_pairs(*g, pairs, EvaluationOptions {cost_only_config(), nullptr, &cache, all}, {}, workers), + (void)evaluate_pairs(*g, pairs, EvaluationOptions {shortest_paths_config(), nullptr, &cache, all}, {}, workers), std::invalid_argument); } cache.freeze(); const auto before = cache.stats(); - const auto got = evaluate_pairs(*g, pairs, EvaluationOptions {cost_only_config(), nullptr, &cache, all}, {}, workers); + const auto got = evaluate_pairs(*g, pairs, EvaluationOptions {shortest_paths_config(), nullptr, &cache, all}, {}, workers); ASSERT_EQ(got.size(), want.size()); for (std::size_t i = 0; i < got.size(); ++i) { ASSERT_TRUE(got[i].edge_flows.has_value() && want[i].edge_flows.has_value()) << workers << " " << i; @@ -345,7 +345,7 @@ TEST(DagCacheFrozen, MissPropagatesThroughBatchCapacity) { ShortestPathCache cache(*g); (void)cache.lookup(*g, v({4}), Direction::Reverse, nullptr); // only pair 1's key cache.freeze(); - const auto msg = miss_of([&] { (void)evaluate_pairs(*g, pairs, EvaluationOptions {cost_only_config(), nullptr, &cache}, {}, workers); }); + const auto msg = miss_of([&] { (void)evaluate_pairs(*g, pairs, EvaluationOptions {shortest_paths_config(), nullptr, &cache}, {}, workers); }); EXPECT_NE(msg.find("roots {3}"), std::string::npos) << workers << ": " << msg; // pair 0, the lowest index } } @@ -370,20 +370,20 @@ TEST(DagCacheFrozen, PerPairIntersectionsAndPrepopulatedUids) { // A common value containing the per-pair one: intersect returns the per-pair operand. auto before = hits(); const std::vector contained = {&narrow, nullptr}; - EXPECT_EQ(evaluate_pairs(*g, pairs, EvaluationOptions {cost_only_config(), &common, &cache}, contained, 2).size(), 2U); + EXPECT_EQ(evaluate_pairs(*g, pairs, EvaluationOptions {shortest_paths_config(), &common, &cache}, contained, 2).size(), 2U); EXPECT_EQ(hits() - before, 2); // An unchanged intersection (the operand itself) and already-effective values with a null // common value. before = hits(); const std::vector same = {&common, &common}; - EXPECT_EQ(evaluate_pairs(*g, pairs, EvaluationOptions {cost_only_config(), &common, &cache}, same, 2).size(), 2U); + EXPECT_EQ(evaluate_pairs(*g, pairs, EvaluationOptions {shortest_paths_config(), &common, &cache}, same, 2).size(), 2U); const std::vector own = {&narrow, &common}; - EXPECT_EQ(evaluate_pairs(*g, pairs, EvaluationOptions {cost_only_config(), nullptr, &cache}, own, 2).size(), 2U); + EXPECT_EQ(evaluate_pairs(*g, pairs, EvaluationOptions {shortest_paths_config(), nullptr, &cache}, own, 2).size(), 2U); EXPECT_EQ(hits() - before, 4); // An intersection that differs from both operands: a fresh uid, absent from the cache. const auto misses = cache.stats().misses; const std::vector changed = {&other, nullptr}; - const auto msg = miss_of([&] { (void)evaluate_pairs(*g, pairs, EvaluationOptions {cost_only_config(), &common, &cache}, changed, 2); }); + const auto msg = miss_of([&] { (void)evaluate_pairs(*g, pairs, EvaluationOptions {shortest_paths_config(), &common, &cache}, changed, 2); }); EXPECT_NE(msg.find("roots {4}"), std::string::npos) << msg; EXPECT_EQ(msg.find("uid " + std::to_string(common.uid()) + " "), std::string::npos) << msg; EXPECT_EQ(msg.find("uid " + std::to_string(other.uid()) + " "), std::string::npos) << msg; @@ -400,7 +400,7 @@ TEST(DagCacheFrozen, MissPropagatesThroughSensitivity) { ShortestPathCache cache(*g); (void)cache.lookup(*g, v({4}), Direction::Reverse, nullptr); cache.freeze(); - const auto msg = miss_of([&] { (void)evaluate_edge_failures(*g, v({1}), v({4}), EvaluationOptions {cost_only_config(), nullptr, &cache}, workers); }); + const auto msg = miss_of([&] { (void)evaluate_edge_failures(*g, v({1}), v({4}), EvaluationOptions {shortest_paths_config(), nullptr, &cache}, workers); }); EXPECT_NE(msg.find("no entry for roots {4}"), std::string::npos) << workers << ": " << msg; EXPECT_EQ(cache.stats().entries, 1); // nothing inserted } @@ -433,7 +433,7 @@ TEST(DagCacheFrozen, AFailedCallChangesNoStatisticButItsMiss) { cache.freeze(); auto before = stats_of(cache.stats()); // Pairs 1 and 2 miss; pairs 0 and 3 hit. - EXPECT_NE(miss_of([&] { (void)evaluate_pairs(*g, pairs, EvaluationOptions {cost_only_config(), nullptr, &cache}, {}, workers); }) + EXPECT_NE(miss_of([&] { (void)evaluate_pairs(*g, pairs, EvaluationOptions {shortest_paths_config(), nullptr, &cache}, {}, workers); }) .find("roots {4}"), std::string::npos); auto want = before; @@ -441,7 +441,7 @@ TEST(DagCacheFrozen, AFailedCallChangesNoStatisticButItsMiss) { EXPECT_EQ(stats_of(cache.stats()), want) << workers; before = stats_of(cache.stats()); EXPECT_NE(miss_of([&] { - (void)evaluate_edge_failures(*g, v({0}), v({3}), EvaluationOptions {cost_only_config(), nullptr, &cache}, workers); + (void)evaluate_edge_failures(*g, v({0}), v({3}), EvaluationOptions {shortest_paths_config(), nullptr, &cache}, workers); }).find("roots {3}"), std::string::npos); want = before; @@ -451,7 +451,7 @@ TEST(DagCacheFrozen, AFailedCallChangesNoStatisticButItsMiss) { ShortestPathCache cache(*g); cache.freeze(); FlowLedger fg(g); - EXPECT_FALSE(miss_of([&] { FlowPolicy p(fg, v({0}), v({3}), cost_only_config(), nullptr, &cache); }).empty()); + EXPECT_FALSE(miss_of([&] { FlowPolicy p(fg, v({0}), v({3}), shortest_paths_config(), nullptr, &cache); }).empty()); EXPECT_EQ(stats_of(cache.stats()), std::make_tuple(0, 1, 0, 0, 0)); } @@ -464,7 +464,7 @@ TEST(DagCacheFrozen, ConcurrentCallsKeepEverySuccessfulHit) { for (NodeId d : {3, 4}) (void)cache.lookup(*g, v({d}), Direction::Reverse, nullptr); cache.freeze(); const auto before = cache.stats(); - const EvaluationOptions opts {cost_only_config(), nullptr, &cache}; + const EvaluationOptions opts {shortest_paths_config(), nullptr, &cache}; const std::vector, std::vector>> good = {{v({0}), v({3})}, {v({1}), v({4})}}; const std::vector, std::vector>> bad = {{v({0}), v({3})}, {v({1}), v({5})}}; constexpr int kThreads = 4; @@ -513,7 +513,7 @@ TEST(DagCacheFrozen, ConcurrentPublicationsLoseNoIncrement) { pool.emplace_back([&] { FlowLedger fg(g); start.arrive_and_wait(); - for (int round = 0; round < kRounds; ++round) FlowPolicy p(fg, v({0}), v({3}), cost_only_config(), nullptr, &cache); + for (int round = 0; round < kRounds; ++round) FlowPolicy p(fg, v({0}), v({3}), shortest_paths_config(), nullptr, &cache); }); } for (auto& th : pool) th.join(); diff --git a/tests/cpp/shortest_paths_creation_tests.cpp b/tests/cpp/shortest_paths_creation_tests.cpp index e49f89e..ef0b02c 100644 --- a/tests/cpp/shortest_paths_creation_tests.cpp +++ b/tests/cpp/shortest_paths_creation_tests.cpp @@ -210,7 +210,7 @@ Tally compare_with_general_path(std::mt19937& rng, int trials, Cost factor) { } // namespace -TEST(CostOnlyCreation, LowerBoundFromEveryHintIsStdLowerBound) { +TEST(ShortestPathsCreation, LowerBoundFromEveryHintIsStdLowerBound) { std::mt19937 rng(20261007); int forward = 0; // the answer above the hint int backward = 0; // the answer below the hint @@ -236,7 +236,7 @@ TEST(CostOnlyCreation, LowerBoundFromEveryHintIsStdLowerBound) { EXPECT_GT(backward, 1000000); } -TEST(CostOnlyCreation, EqualsTheGeneralPathForEverySourceSelectionAndKernel) { +TEST(ShortestPathsCreation, EqualsTheGeneralPathForEverySourceSelectionAndKernel) { std::mt19937 rng(1007); const Tally t = compare_with_general_path(rng, 300, 1); // Not vacuous: every branch of the one pass was compared, and the declined inputs too. @@ -249,7 +249,7 @@ TEST(CostOnlyCreation, EqualsTheGeneralPathForEverySourceSelectionAndKernel) { EXPECT_GT(t.zero_weight, 1000); } -TEST(CostOnlyCreation, WideCostsEqualTheGeneralPath) { +TEST(ShortestPathsCreation, WideCostsEqualTheGeneralPath) { // Repeat the general-path comparison with factors 3, 64 and 2^35. These cases catch the // int32 output truncation; with 2^35 every answered cost exceeds INT32_MAX. // They do not catch every narrower representation: an output cut to 48 bits would pass here @@ -266,7 +266,7 @@ TEST(CostOnlyCreation, WideCostsEqualTheGeneralPath) { } } -TEST(CostOnlyCreation, ChainCostsBeyondInt32AreExact) { +TEST(ShortestPathsCreation, ChainCostsBeyondInt32AreExact) { // A chain of two edges beyond int32 (0 -> 1 -> 2, two edges of 2^35: the cost 2^36 = // 68,719,476,736), a chain whose total 2,500,000,000 exceeds INT32_MAX without being a power of // two, a diamond of 2^35 edges with a parallel pair, and a full-width chain of two edges of @@ -313,7 +313,7 @@ TEST(CostOnlyCreation, ChainCostsBeyondInt32AreExact) { } } -TEST(CostOnlyCreation, LargerGraphsEqualTheGeneralPath) { +TEST(ShortestPathsCreation, LargerGraphsEqualTheGeneralPath) { // Larger fabrics (Clos and random) where the walk crosses many ranges: every source of the two // Clos fabrics and every 7th source of the two 200-node random graphs, to one and to two // destinations, the EB and Optimized kernels, with and without Collapse. A record route shares the @@ -375,7 +375,7 @@ TEST(CostOnlyCreation, LargerGraphsEqualTheGeneralPath) { } } -TEST(CostOnlyCreation, CraftedSupportsGiveNothingOrTheGeneralPath) { +TEST(ShortestPathsCreation, CraftedSupportsGiveNothingOrTheGeneralPath) { // Acyclic edge sets that are no static support: edges leaving a destination, nodes that reach no // destination, members below one unit. The one pass declines them or equals the general path. std::mt19937 rng(99); @@ -429,7 +429,7 @@ TEST(CostOnlyCreation, CraftedSupportsGiveNothingOrTheGeneralPath) { EXPECT_GT(declined, 1000); } -TEST(CostOnlyCreation, DeclinesEachBrokenPrecondition) { +TEST(ShortestPathsCreation, DeclinesEachBrokenPrecondition) { // 0 -> 1 -> 3 and 0 -> 2 -> 3, destination 3: the general path keeps the whole route, and so // does the one pass. Each variant breaks one precondition; the one pass then answers nothing (the // general path's members differ from its route, or it throws), except that Optimized and diff --git a/tests/cpp/state_comparators.hpp b/tests/cpp/state_comparators.hpp index e3e2055..9d7338b 100644 --- a/tests/cpp/state_comparators.hpp +++ b/tests/cpp/state_comparators.hpp @@ -172,7 +172,7 @@ struct FlowSnapshot { // A policy's epoch state: the call state (requested, offered, +inf, prepared, the delivered // demand), CentralizedTE's cumulative curve, the installed program (its identity and its value) and T1's -// plan, ShortestPaths Optimized's support, a Pinned head's own losses, the by_tunnel rows and per cohort +// plan, ShortestPaths Optimized's support, a Pinned head's own losses, the by_tunnel rows and per record_group // its flows. struct Epoch { Counter128 requested; @@ -187,7 +187,7 @@ struct Epoch { std::vector support; std::vector source_drops_by_source; std::vector by_tunnel; - std::vector> cohorts; + std::vector> record_groups; }; inline Epoch epoch(const FlowPolicy& p) { @@ -197,7 +197,7 @@ inline Epoch epoch(const FlowPolicy& p) { program_snapshot(ep.program.get()), ep.plan ? std::optional(*ep.plan) : std::nullopt, ep.support, ep.source_drops_by_source, ep.by_tunnel, {}}; for (const auto& c : ep.record_groups) { - auto& out = e.cohorts.emplace_back(); + auto& out = e.record_groups.emplace_back(); for (const auto& f : c) out.push_back({f.record_counter, f.min_route_cost, f.route ? ascending_edges(*f.route) : std::vector {}, f.entry_id}); } return e; @@ -215,7 +215,7 @@ inline void expect_same(const Epoch& a, const Epoch& b, const std::string& where EXPECT_EQ(a.support, b.support) << where; EXPECT_EQ(a.source_drops_by_source, b.source_drops_by_source) << where; EXPECT_TRUE(a.by_tunnel == b.by_tunnel) << where; - EXPECT_TRUE(a.cohorts == b.cohorts) << where; + EXPECT_TRUE(a.record_groups == b.record_groups) << where; } // The same state on the same policy: also the same program object (a failed call installs none). diff --git a/tests/cpp/test_utils.hpp b/tests/cpp/test_utils.hpp index 60969db..6711a22 100644 --- a/tests/cpp/test_utils.hpp +++ b/tests/cpp/test_utils.hpp @@ -76,7 +76,7 @@ inline ShortestPaths shortest_paths(RouteAllocation allocation = RouteAllocation // The two policy configurations most tests use, both Lossless with the default route choice: the // exact maximum flow (CentralizedTE with the optimized source allocation) and ShortestPaths ECMP. inline FlowPolicyConfig global_config() { return FlowPolicyConfig {.routing = centralized()}; } -inline FlowPolicyConfig cost_only_config() { return FlowPolicyConfig {.routing = ShortestPaths {}}; } +inline FlowPolicyConfig shortest_paths_config() { return FlowPolicyConfig {.routing = ShortestPaths {}}; } // The five statistics of a ShortestPathCache, comparable as one value. inline std::tuple stats_of( diff --git a/tests/cpp/zero_capacity_tests.cpp b/tests/cpp/zero_capacity_tests.cpp index 40f92b9..980cbdf 100644 --- a/tests/cpp/zero_capacity_tests.cpp +++ b/tests/cpp/zero_capacity_tests.cpp @@ -198,16 +198,16 @@ TEST(ZeroCapacity, DagCacheValuesAndTheirConsumers) { (void)cache.lookup(*g, v({1}), Direction::Reverse, nullptr); EXPECT_EQ(cache.stats().hits, 1); FlowLedger fg(g); - FlowPolicy p(fg, v({0}), v({1}), cost_only_config(), nullptr, &cache); + FlowPolicy p(fg, v({0}), v({1}), shortest_paths_config(), nullptr, &cache); EXPECT_EQ(p.place(5).call_delivered, 0); cache.freeze(); - EXPECT_EQ(evaluate_demand(*g, v({0}), v({1}), EvaluationOptions {cost_only_config(), nullptr, &cache}).call_delivered, 0); + EXPECT_EQ(evaluate_demand(*g, v({0}), v({1}), EvaluationOptions {shortest_paths_config(), nullptr, &cache}).call_delivered, 0); } // S under every model: its only shortest route crosses the zero edge. TEST(ZeroCapacity, G8ForEveryModel) { const auto g = graph_s(); - const auto eb = place_once(g, {0}, {1}, cost_only_config(), 5); + const auto eb = place_once(g, {0}, {1}, shortest_paths_config(), 5); EXPECT_EQ(eb.r.call_delivered, 0); EXPECT_EQ(eb.r.call_undelivered, 5); EXPECT_EQ(eb.r.termination, Termination::Exhausted); @@ -260,7 +260,7 @@ TEST(ZeroCapacity, EqualSplitsKeepTheZeroMemberWeightedSplitsPruneIt) { Amount weighted, maxflow; }; auto check = [](const std::shared_ptr& g, NodeId dst, const Want& w, const std::string& where) { - EXPECT_EQ(place_once(g, {0}, {dst}, cost_only_config(), 10).r.call_delivered, w.eb_lossless) << where; + EXPECT_EQ(place_once(g, {0}, {dst}, shortest_paths_config(), 10).r.call_delivered, w.eb_lossless) << where; const auto lossy = place_once(g, {0}, {dst}, cfg(ShortestPaths {}, RouteAllocation::Equal, Admission::Lossy), 10); EXPECT_EQ(lossy.r.call_delivered, w.eb_lossy) << where; EXPECT_EQ(lossy.r.call_edge_drops, w.drops) << where; @@ -330,7 +330,7 @@ TEST(ZeroCapacity, LossyInjectionAndAllZeroWeights) { // admits only when it is 0 (0 when it is the first source, 1 when the second) and Lossy loses. TEST(ZeroCapacity, ZeroCapacitySourcesStayInTheRoster) { const auto b = graph_b(0, 10); - const auto ll = place_once(b, {0, 1}, {2}, cost_only_config(), 10); + const auto ll = place_once(b, {0, 1}, {2}, shortest_paths_config(), 10); EXPECT_EQ(ll.r.call_delivered, 0); EXPECT_EQ(ll.r.termination, Termination::Exhausted); ASSERT_EQ(ll.records.size(), 2U); @@ -344,7 +344,7 @@ TEST(ZeroCapacity, ZeroCapacitySourcesStayInTheRoster) { EXPECT_EQ(ly.r.call_edge_drops, (Drops {{0, 5}})); EXPECT_EQ(ly.r.termination, Termination::Complete); const auto bp = graph_b(10, 0); - const auto pl = place_once(bp, {0, 1}, {2}, cost_only_config(), 10); + const auto pl = place_once(bp, {0, 1}, {2}, shortest_paths_config(), 10); EXPECT_EQ(pl.r.call_delivered, 1); const auto py = place_once(bp, {0, 1}, {2}, lossy_eb, 10); EXPECT_EQ(py.r.call_delivered, 5); @@ -353,7 +353,7 @@ TEST(ZeroCapacity, ZeroCapacitySourcesStayInTheRoster) { const auto no_node = b->eligibility(std::vector {0}, {}); const auto no_link = b->eligibility({}, std::vector {0}); for (const Eligibility* el : {&no_node, &no_link}) { - EXPECT_EQ(place_once(b, {0, 1}, {2}, cost_only_config(), 10, el).r.call_delivered, 10); + EXPECT_EQ(place_once(b, {0, 1}, {2}, shortest_paths_config(), 10, el).r.call_delivered, 10); EXPECT_EQ(place_once(b, {0, 1}, {2}, global_config(), 10, el).r.call_delivered, 10); } // CentralizedTE keeps a zero-delivery record of source 0 with an empty route. @@ -472,7 +472,7 @@ TEST(ZeroCapacity, WeightedRoutePlansKeepOnlyPositiveEdges) { TEST(ZeroCapacity, EvaluatorsCountZeroCapacityRoutesAndCandidates) { const auto s = graph_s(); const std::vector, std::vector>> pairs = {{{0}, {1}}, {{2}, {1}}}; - const auto batch = evaluate_pairs(*s, pairs, EvaluationOptions {cost_only_config()}, {}, 1); + const auto batch = evaluate_pairs(*s, pairs, EvaluationOptions {shortest_paths_config()}, {}, 1); ASSERT_EQ(batch.size(), 2U); EXPECT_EQ(batch[0].call_delivered, 0); EXPECT_EQ(batch[1].call_delivered, 5); @@ -484,7 +484,7 @@ TEST(ZeroCapacity, EvaluatorsCountZeroCapacityRoutesAndCandidates) { // ShortestPaths EB under the equal source allocation (the zero-capacity source first): the baseline is 0; deleting the zero link // takes source 0 out of the roster and raises the total to 10 (loss -10); deleting link 1 leaves // source 0 alone (0). - const auto eb = evaluate_edge_failures(*b, v({0, 1}), v({2}), EvaluationOptions {cost_only_config()}, 1); + const auto eb = evaluate_edge_failures(*b, v({0, 1}), v({2}), EvaluationOptions {shortest_paths_config()}, 1); EXPECT_EQ(eb.baseline.call_delivered, 0); EXPECT_EQ(entries(eb), (std::vector> {{0, -10}, {1, 0}})); // T1 with the design 10 (X8's shape): head 0 is down and first, so the diff --git a/tests/py/helpers.py b/tests/py/helpers.py index 0584f5e..19a8fa1 100644 --- a/tests/py/helpers.py +++ b/tests/py/helpers.py @@ -158,7 +158,7 @@ def t1_config(count, admission=None, **routing): # Lossless (ShortestPaths() is ECMP: FEWER_HOPS, every route and parallel edge). Configurations # are immutable, so tests share these values. GLOBAL = config(centralized()) -COSTONLY = config(ngc.ShortestPaths()) +SHORTEST_PATHS = config(ngc.ShortestPaths()) # The result classes whose public attributes are all fields (no methods). diff --git a/tests/py/removed_names_reviewed.txt b/tests/py/removed_names_reviewed.txt index 5e87bf3..db1f7f9 100644 --- a/tests/py/removed_names_reviewed.txt +++ b/tests/py/removed_names_reviewed.txt @@ -257,7 +257,7 @@ docs/semantics.md | tunnels | an ideal controller that sees the whole network, o docs/semantics.md | tunnels | distributed strict-bandwidth tunnels, as RSVP-TE head ends s | a link anchor, the slug of the docs' own heading docs/semantics.md | tunnels | up whose paths or up and down tunnels differ from the instal | a model's tunnels (ForwardingProgram.tunnels is the current name) docs/semantics.md | tunnels | h's first nonempty program (`ShortestPaths` and the controll | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | via | ascending via EdgeId. Any failure is a `ValueError`. | the via edge of a DAG entry +docs/semantics.md | via | ascending via EdgeId. A wrong type raises `TypeError`; | the via edge of a DAG entry docs/semantics.md | via | ends at `len(parents) == len(via_edges)`; then every id is i | the via edge of a DAG entry docs/semantics.md | via | node, no `(node, via)` pair repeats, the DAG has no cycle an | the via edge of a DAG entry docs/semantics.md | volume | - **Design demand.** The volume T1 and T2 size their tunnels | the design volume D of the tunnel models @@ -352,7 +352,7 @@ src/evaluators.cpp | priority | reachable from it, then selected on the priority src/evaluators.cpp | sensitivity | ShortestPaths sensitivity: the edges of the full static supp | sensitivity analysis, or the env var NGRAPH_CORE_SENSITIVITY_THREADS src/flow_policy.cpp | volume | The design volume of a tunnel model's call: the explicit des | the design volume D of the tunnel models src/forwarding_program.cpp | Route | Routes: the ordered heads, each entry's kind and route (a tu | a route or routes (a heading such as 'Route structures' or 'Routes') -src/forwarding_program.cpp | placed | A stable counting sort by slot: counted at slot + 2, summed, | traffic placed (delivered) on a ledger +src/forwarding_program.cpp | placed | A stable counting sort by slot: counted at slot + 2, summed, | array entries placed by the stable counting sort src/min_cost_flow.cpp | f_e | Delete e = (u, v), with flow f_e > 0, from a copy and run th | a math symbol of the comment's formula src/min_cost_flow.cpp | f_e | origin and target and that all-vertex update before Dinic ph | a math symbol of the comment's formula src/min_cost_flow.cpp | f_e | u to v; call the amount moved m. If r = f_e - m > 0, move r | a math symbol of the comment's formula @@ -547,9 +547,9 @@ pyproject.toml | selection | scikit-build-core 1.0 introduced the "explicit" sdi src/centralized_te_tunnels.cpp | Tunnels | Sizing. Tunnels of a common size s > 0 exist exactly when K | the word starting a sentence: actual tunnels src/flow_policy.cpp | cost_distribution | cost_distribution | a key of the frozen reference's trace format (the fixtures' keys) src/flow_policy.cpp | placed | placed | a key of the frozen reference's trace and payload format (the fixtures' keys) -tests/cpp/flow_policy_fault_tests.cpp | sensitivity | frozen costonly sensitivity | a test case label: sensitivity analysis (the evaluator's subject) -tests/cpp/flow_policy_fault_tests.cpp | sensitivity | frozen costonly sensitivity miss | a test case label: sensitivity analysis (the evaluator's subject) -tests/cpp/flow_policy_fault_tests.cpp | sensitivity | frozen costonly sensitivity miss, worker threads, workers | a test case label: sensitivity analysis (the evaluator's subject) +tests/cpp/flow_policy_fault_tests.cpp | sensitivity | frozen shortest_paths sensitivity | a test case label: sensitivity analysis (the evaluator's subject) +tests/cpp/flow_policy_fault_tests.cpp | sensitivity | frozen shortest_paths sensitivity miss | a test case label: sensitivity analysis (the evaluator's subject) +tests/cpp/flow_policy_fault_tests.cpp | sensitivity | frozen shortest_paths sensitivity miss, worker threads, workers | a test case label: sensitivity analysis (the evaluator's subject) tests/cpp/flow_policy_fault_tests.cpp | sensitivity | frozen sensitivity | a test case label: sensitivity analysis (the evaluator's subject) tests/cpp/flow_policy_fault_tests.cpp | sensitivity | sensitivity | a test case label: sensitivity analysis (the evaluator's subject) tests/cpp/flow_policy_tests.cpp | sensitivity | sensitivity baseline with every output | a test case label: sensitivity analysis (the evaluator's subject) diff --git a/tests/py/test_apply_actions.py b/tests/py/test_apply_actions.py index 322ea32..f98bf2c 100644 --- a/tests/py/test_apply_actions.py +++ b/tests/py/test_apply_actions.py @@ -177,7 +177,7 @@ def delivered(results): def cyc12(): - """The step-3 cycle Pc's graph: CYC(1, 2).""" + """The cycle Pc's graph: CYC(1, 2).""" return graph( 6, [ @@ -1070,7 +1070,7 @@ def ids(rows): def test_zero_shares_add_no_arc(): # An entry whose share is 0 can carry nothing: it makes no link wait and joins no group. Two - # step-3 cycles bridged by two tunnels of offer 0 fail with the period-2 error with or without + # cycles bridged by two tunnels of offer 0 fail with the period-2 error with or without # the bridges; so does a link X before a period-2 pair with or without Z (offer 0) over L0 then # X, as a Pinned tunnel or a ShortestPaths demand. cycle = [ diff --git a/tests/py/test_centralized_te_tunnels.py b/tests/py/test_centralized_te_tunnels.py index 4c28129..47179b1 100644 --- a/tests/py/test_centralized_te_tunnels.py +++ b/tests/py/test_centralized_te_tunnels.py @@ -13,10 +13,10 @@ import pytest import tunnel_oracle as orc from helpers import ( - COSTONLY, GLOBAL, INF, L62, + SHORTEST_PATHS, build, dag_of, exact, @@ -835,11 +835,11 @@ def test_operations_and_design_validation(): ): ly.replace(INF) assert p.replace(INF).plan.design_demand == INF # an unlimited design - for cfg in (COSTONLY, GLOBAL): + for cfg in (SHORTEST_PATHS, GLOBAL): with pytest.raises( ValueError, match=exact( - f"{'ShortestPaths' if cfg is COSTONLY else 'CentralizedTE'} does not accept design_demand" + f"{'ShortestPaths' if cfg is SHORTEST_PATHS else 'CentralizedTE'} does not accept design_demand" ), ): ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg).replace(5, design_demand=5) diff --git a/tests/py/test_contract_examples.py b/tests/py/test_contract_examples.py index 7c83b55..380c846 100644 --- a/tests/py/test_contract_examples.py +++ b/tests/py/test_contract_examples.py @@ -1750,7 +1750,7 @@ def run_list_validation(cases): """Each case's list with real policies, on one ledger per case over CYC(1, 2) plus a separate link 6 -> 7 of 10: an action's policy (by name, created at its first use) has the case's model and admission on 6 -> 7, a foreign one is of another ledger; a Pinned action that `computes` - the period-2 error is the step-3 cycle (two crossing tunnels from 4, weights 1 and 2) with that + the period-2 error is the cycle (two crossing tunnels from 4, weights 1 and 2) with that cycle's offer 3 in place of the case's, another Pinned one a tunnel over 6 -> 7; `program` installs the policy's program first (a replace or a place of 1), `after_infinite` places +inf first, `foreign_black_holes` gives black holes of another graph. The list's first error, or "valid".""" diff --git a/tests/py/test_distributed_te.py b/tests/py/test_distributed_te.py index 03e6ebc..f3ad892 100644 --- a/tests/py/test_distributed_te.py +++ b/tests/py/test_distributed_te.py @@ -11,10 +11,10 @@ import pytest import tunnel_oracle as orc from helpers import ( - COSTONLY, GLOBAL, INF, L62, + SHORTEST_PATHS, assert_ints, build, exact, @@ -422,7 +422,7 @@ def test_traced_place_checks_the_operation_first(): match=exact("DistributedTE does not support incremental placement"), ): p._place_traced(v) - sp = ngc.FlowPolicy(ngc.FlowLedger(one10()), 0, 1, COSTONLY) + sp = ngc.FlowPolicy(ngc.FlowLedger(one10()), 0, 1, SHORTEST_PATHS) with pytest.raises( ValueError, match=exact("offer must be an integer in [0, 2^62) or permitted +inf"), @@ -443,7 +443,7 @@ def test_operations_and_design_validation(): match=exact("DistributedTE does not support incremental placement"), ): p.place(v) - sp = ngc.FlowPolicy(ngc.FlowLedger(one10()), 0, 1, COSTONLY) + sp = ngc.FlowPolicy(ngc.FlowLedger(one10()), 0, 1, SHORTEST_PATHS) for v in (-1, L62, 2**100): with pytest.raises( ValueError, @@ -487,7 +487,7 @@ def test_operations_and_design_validation(): g, 0, 1, [ngc.RouteDefinition(0, ngc.Path(g, [[0]]))] ) for cfg, model in ( - (COSTONLY, "ShortestPaths"), + (SHORTEST_PATHS, "ShortestPaths"), (GLOBAL, "CentralizedTE"), (ngc.FlowPolicyConfig(routing=ngc.Pinned(pin)), "Pinned"), ): @@ -897,7 +897,7 @@ def test_no_certificates_and_plan_only_for_t1(): ngc.FlowPolicyConfig(routing=ngc.Pinned(r.program)), ) assert pin.replace(12).plan is None - for cfg in (COSTONLY, GLOBAL): + for cfg in (SHORTEST_PATHS, GLOBAL): q = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, cfg) assert q.place(5).plan is None and q.replace(5).plan is None with pytest.raises(TypeError): @@ -1065,7 +1065,10 @@ def test_capacity(): q(t1_config(4, LOSSY), design_demand=12, offer=INF), "offer must be an integer in [0, 2^62)", ), - (q(COSTONLY, design_demand=5), "ShortestPaths does not accept design_demand"), + ( + q(SHORTEST_PATHS, design_demand=5), + "ShortestPaths does not accept design_demand", + ), (q(GLOBAL, design_demand=5), "CentralizedTE does not accept design_demand"), ): with pytest.raises(ValueError, match=exact(text)): @@ -1083,7 +1086,7 @@ def test_capacity(): assert q(t1_config(4), design_demand=INF).design_demand == INF assert ( q(t1_config(4), design_demand=7).design_demand == 7 - and q(COSTONLY).design_demand is None + and q(SHORTEST_PATHS).design_demand is None ) prog = ngc.ForwardingProgram.from_routes( g, 0, 1, [ngc.RouteDefinition(0, ngc.Path(g, [[0]]))] diff --git a/tests/py/test_flow_ledger.py b/tests/py/test_flow_ledger.py index 6a34b1a..3b31157 100644 --- a/tests/py/test_flow_ledger.py +++ b/tests/py/test_flow_ledger.py @@ -12,10 +12,10 @@ import numpy as np import pytest from helpers import ( - COSTONLY, GLOBAL, INF, L62, + SHORTEST_PATHS, build, dag_of, exact, @@ -308,7 +308,7 @@ def test_record_endpoint_sets_are_ascending(): # once; a record per source under CentralizedTE, each with its one source. g = build(4, [(0, 2, 5, 1), (0, 3, 5, 1), (1, 2, 5, 1), (1, 3, 5, 1)]) fg = ngc.FlowLedger(g) - ngc.FlowPolicy(fg, 0, [3, 2, 3], COSTONLY).place(2) + ngc.FlowPolicy(fg, 0, [3, 2, 3], SHORTEST_PATHS).place(2) ngc.FlowPolicy(fg, [1, 0, 1], [3, 2], GLOBAL).place(4) records = fg.records() assert [r.destinations for r in records] == [[2, 3]] * len(records) @@ -414,7 +414,9 @@ def test_rejected_requests_leave_the_policy_and_the_ledger(routing): if routing == "Pinned": p = pinned(fg, 0, 3, [0, 2], EB) # EdgeIds of 0 -> 1 -> 3 else: - p = ngc.FlowPolicy(fg, 0, 3, GLOBAL if routing == "CentralizedTE" else COSTONLY) + p = ngc.FlowPolicy( + fg, 0, 3, GLOBAL if routing == "CentralizedTE" else SHORTEST_PATHS + ) def state(): own = p._state() if HOOKS else None diff --git a/tests/py/test_flow_policy.py b/tests/py/test_flow_policy.py index dc560a9..bfb4b78 100644 --- a/tests/py/test_flow_policy.py +++ b/tests/py/test_flow_policy.py @@ -13,11 +13,11 @@ import pytest from helpers import ( ALL_OUT, - COSTONLY, GLOBAL, HIGHER_AVAIL, INF, L62, + SHORTEST_PATHS, assert_read_only, build, config, @@ -292,43 +292,45 @@ def rejects(cfg, msg, src=0): src=[0, 1], ) rejects( - COSTONLY, + SHORTEST_PATHS, "node 3 is in both endpoint sets: sources and destinations must not overlap", src=[0, 3], ) - rejects(COSTONLY, "sources: the node set is empty", src=[]) - rejects(COSTONLY, f"sources: node {L62} out of node range [0, 4)", src=[L62]) + rejects(SHORTEST_PATHS, "sources: the node set is empty", src=[]) + rejects(SHORTEST_PATHS, f"sources: node {L62} out of node range [0, 4)", src=[L62]) with pytest.raises( ValueError, match=exact("foreign Eligibility: built for another graph") ): - ngc.FlowPolicy(fg, 0, 3, COSTONLY, diamond().eligibility(excluded_edges=[0])) + ngc.FlowPolicy( + fg, 0, 3, SHORTEST_PATHS, diamond().eligibility(excluded_edges=[0]) + ) with pytest.raises( ValueError, match=exact("foreign ShortestPathCache: bound to another graph") ): - ngc.FlowPolicy(fg, 0, 3, COSTONLY, None, ngc.ShortestPathCache(diamond())) + ngc.FlowPolicy(fg, 0, 3, SHORTEST_PATHS, None, ngc.ShortestPathCache(diamond())) # Arguments of the wrong kind are TypeError: a ledger of None, non-integer node ids, a ledger, # config, eligibility or cache of the wrong class and an unknown keyword. with pytest.raises(TypeError, match=exact("ledger must be a FlowLedger")): - ngc.FlowPolicy(None, 0, 3, COSTONLY) + ngc.FlowPolicy(None, 0, 3, SHORTEST_PATHS) with pytest.raises( TypeError, match=exact("sources[0] must be an integer (got float)") ): - ngc.FlowPolicy(fg, [0.0], 3, COSTONLY) + ngc.FlowPolicy(fg, [0.0], 3, SHORTEST_PATHS) with pytest.raises( TypeError, match=exact("destinations must be a sequence of integers") ): - ngc.FlowPolicy(fg, 0, 3.0, COSTONLY) + ngc.FlowPolicy(fg, 0, 3.0, SHORTEST_PATHS) for wrong in ( - lambda: ngc.FlowPolicy(g, 0, 3, COSTONLY), + lambda: ngc.FlowPolicy(g, 0, 3, SHORTEST_PATHS), lambda: ngc.FlowPolicy(fg, 0, 3, ngc.ShortestPaths()), - lambda: ngc.FlowPolicy(fg, 0, 3, COSTONLY, ngc.ShortestPathCache(g)), - lambda: ngc.FlowPolicy(fg, 0, 3, COSTONLY, None, g.eligibility()), - lambda: ngc.FlowPolicy(fg, 0, 3, COSTONLY, cash=None), + lambda: ngc.FlowPolicy(fg, 0, 3, SHORTEST_PATHS, ngc.ShortestPathCache(g)), + lambda: ngc.FlowPolicy(fg, 0, 3, SHORTEST_PATHS, None, g.eligibility()), + lambda: ngc.FlowPolicy(fg, 0, 3, SHORTEST_PATHS, cash=None), ): with pytest.raises(TypeError): wrong() fg.reset() # nothing bound - pol = ngc.FlowPolicy(fg, 0, 3, COSTONLY) + pol = ngc.FlowPolicy(fg, 0, 3, SHORTEST_PATHS) with pytest.raises( TypeError, match=exact("outputs must be an OutputOptions (got ShortestPaths)") ): @@ -493,7 +495,7 @@ def test_enum_values_outside_their_enumeration_are_rejected(): def test_placement_result_fields_and_outputs(): g = diamond() fg = ngc.FlowLedger(g) - pol = ngc.FlowPolicy(fg, [0], [3], COSTONLY) + pol = ngc.FlowPolicy(fg, [0], [3], SHORTEST_PATHS) r = pol.place(4) assert (r.call_delivered, r.call_undelivered, r.termination) == (4, 0, T.COMPLETE) assert not hasattr(r, "local_outcomes") @@ -582,7 +584,7 @@ def test_lifetimes_keep_alive_and_orphans(): fg = ngc.FlowLedger(g) el = g.eligibility(excluded_edges=ids(g, [2])) cache = ngc.ShortestPathCache(g) - pol = ngc.FlowPolicy(fg, 0, 3, COSTONLY, el, cache) + pol = ngc.FlowPolicy(fg, 0, 3, SHORTEST_PATHS, el, cache) held = [weakref.ref(x) for x in (fg, el, cache)] del fg, el, cache gc.collect() @@ -594,7 +596,7 @@ def test_lifetimes_keep_alive_and_orphans(): gc.collect() assert all(r() is None for r in held) # the policy alone held them fg2 = ngc.FlowLedger(g) - p = ngc.FlowPolicy(fg2, 0, 3, COSTONLY) + p = ngc.FlowPolicy(fg2, 0, 3, SHORTEST_PATHS) p.place(2) del p gc.collect() @@ -602,7 +604,7 @@ def test_lifetimes_keep_alive_and_orphans(): assert fg2._state()["orphans"] == [0] assert fg2.records()[0].delivered == 2 with pytest.raises(ValueError, match="bound"): - q = ngc.FlowPolicy(fg2, 0, 3, COSTONLY) + q = ngc.FlowPolicy(fg2, 0, 3, SHORTEST_PATHS) fg2.reset() del q gc.collect() @@ -616,7 +618,7 @@ def test_owner_hook_is_the_owner_of_the_records(): # ledger, known before the policy has a record, and carried by its records as FlowRecord.policy_id. g = diamond() fg = ngc.FlowLedger(g) - policies = [ngc.FlowPolicy(fg, 0, 3, COSTONLY) for _ in range(3)] + policies = [ngc.FlowPolicy(fg, 0, 3, SHORTEST_PATHS) for _ in range(3)] owners = [p._owner() for p in policies] assert len(set(owners)) == 3 for p in reversed(policies): @@ -683,7 +685,7 @@ def test_dag_cache_statistics_and_projection(): g = diamond() cache = ngc.ShortestPathCache(g) fg = ngc.FlowLedger(g) - a = ngc.FlowPolicy(fg, 0, 3, COSTONLY, None, cache) + a = ngc.FlowPolicy(fg, 0, 3, SHORTEST_PATHS, None, cache) b = ngc.FlowPolicy( fg, 0, @@ -752,7 +754,7 @@ def test_capacity_batch_and_workers(monkeypatch): ngc.EvaluationOptions(pinned_over(g, dag_of(g, ids(g, [0, 1])))), ) cache = ngc.ShortestPathCache(g) - eb = ngc.EvaluationOptions(COSTONLY, cache=cache) + eb = ngc.EvaluationOptions(SHORTEST_PATHS, cache=cache) with pytest.raises(ValueError, match="workers == 1"): ngc.evaluate_pairs(g, pairs, eb, workers=2) got = ngc.evaluate_pairs( @@ -789,7 +791,7 @@ def test_edge_failures_candidates_and_signed_reductions(monkeypatch): # over parallel links of 1, 10 and 0 fits 2 units (a third would cross the zero link); # without the thin link 1 fits, without the wide link 1, without the zero link 2. p = build(2, [(0, 1, 1, 1), (0, 1, 10, 1), (0, 1, 0, 1)]) - opts = ngc.EvaluationOptions(COSTONLY) + opts = ngc.EvaluationOptions(SHORTEST_PATHS) s = ngc.evaluate_edge_failures(p, 0, 1, opts, workers=2) assert s.baseline.call_delivered == 2 pos = p.input_positions() @@ -812,7 +814,7 @@ def test_edge_failures_candidates_and_signed_reductions(monkeypatch): with pytest.raises(ValueError, match="both endpoint sets"): ngc.evaluate_edge_failures(p, 0, 0, opts) # The baseline is evaluate_demand() with the requested outputs. - for cfg in (GLOBAL, COSTONLY): + for cfg in (GLOBAL, SHORTEST_PATHS): s = ngc.evaluate_edge_failures( g, 0, 2, ngc.EvaluationOptions(cfg, outputs=ALL_OUT) ) @@ -845,7 +847,7 @@ def test_evaluator_options_and_results(): True, False, ) - d = cls(COSTONLY) + d = cls(SHORTEST_PATHS) assert d.eligibility is None and d.cache is None assert ( d.outputs.edge_flows, @@ -868,8 +870,8 @@ def test_explicit_workers_win_over_the_environment(monkeypatch): monkeypatch.setenv("NGRAPH_CORE_SENSITIVITY_THREADS", "4") g = diamond(5, 3) building = ngc.ShortestPathCache(g) - bopts = ngc.EvaluationOptions(COSTONLY, cache=building) - sopts = ngc.EvaluationOptions(COSTONLY, cache=building) + bopts = ngc.EvaluationOptions(SHORTEST_PATHS, cache=building) + sopts = ngc.EvaluationOptions(SHORTEST_PATHS, cache=building) want = [ r.call_delivered for r in ngc.evaluate_pairs(g, [(0, 3), (1, 3)], bopts, workers=1) @@ -901,9 +903,9 @@ def test_python_keeps_what_a_policy_and_an_option_need_alive(): g.edge_destinations().tolist(), ] ledger = ngc.FlowLedger(g) - policy = ngc.FlowPolicy(ledger, 0, 3, COSTONLY) + policy = ngc.FlowPolicy(ledger, 0, 3, SHORTEST_PATHS) opts = ngc.EvaluationOptions( - COSTONLY, + SHORTEST_PATHS, eligibility=g.eligibility(excluded_edges=ids(g, [2])), cache=ngc.ShortestPathCache(g), ) @@ -945,7 +947,7 @@ def test_exception_classes_of_conversions(): call() assert error.type is ValueError g = build(2, [(0, 1, 5, 1)]) - p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, COSTONLY) + p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, SHORTEST_PATHS) for big in (10**400, -(10**400)): with pytest.raises( ValueError, @@ -959,14 +961,14 @@ def test_exception_classes_of_conversions(): @needs_hooks -@pytest.mark.parametrize("routing", ["costonly", "global"]) +@pytest.mark.parametrize("routing", ["shortest_paths", "global"]) @pytest.mark.parametrize("traced", [False, True]) def test_python_publication_is_all_or_nothing(routing, traced): # Every Python object of a placement exists before anything is published, so the k-th # Python allocation failing raises with the ledger and the policy unchanged (an earlier # call's flow in the same epoch included), never crashes, and a retry places as a call # without failure does. - cfg = GLOBAL if routing == "global" else COSTONLY + cfg = GLOBAL if routing == "global" else SHORTEST_PATHS g = build(2, [(0, 1, 10, 1)]) for entry in ( diff --git a/tests/py/test_flow_policy_fixtures.py b/tests/py/test_flow_policy_fixtures.py index 1185a70..f09f741 100644 --- a/tests/py/test_flow_policy_fixtures.py +++ b/tests/py/test_flow_policy_fixtures.py @@ -223,7 +223,7 @@ def ledger_json(fg): def policy_json(pol): st = pol._state() lossy = pol.config.admission == ngc.Admission.LOSSY - cohorts = [] + record_groups = [] for s, flows in sorted(st["cohorts"].items()): if not flows: continue @@ -238,13 +238,13 @@ def policy_json(pol): "alloc": [[e, x] for e, x in f["alloc"]], } ) - cohorts.append([s, out]) + record_groups.append([s, out]) return { "roster": list(st["roster"]), "requested": st["requested"], "infinite": st["infinite"], "placed_demand": st["placed_demand"], - "cohorts": cohorts, + "cohorts": record_groups, } diff --git a/tests/py/test_integer_array_allocation.py b/tests/py/test_integer_array_allocation.py new file mode 100644 index 0000000..ff7b6f3 --- /dev/null +++ b/tests/py/test_integer_array_allocation.py @@ -0,0 +1,305 @@ +"""Integer-array casts under Python allocation failure, each reader/dtype in its own process. + +Constructors use an instance shell created before the fault window, so the sweep covers input +conversion rather than pybind11's documented unchecked allocation of a new bound instance. +The private hook counts only allocations inside NumPy casts, excluding result wrapping. +""" + +from __future__ import annotations + +import functools +import gc +import importlib.util +import json +import subprocess +import sys +from pathlib import Path + +if __name__ == "__main__": + spec = importlib.util.spec_from_file_location("_netgraph_core", sys.argv[3]) + assert spec is not None and spec.loader is not None + module = importlib.util.module_from_spec(spec) + sys.modules["_netgraph_core"] = module + spec.loader.exec_module(module) + +import _netgraph_core as ext +import numpy as np +from helpers import full_ledger_state, plain +from private_hooks import needs_hooks + +import netgraph_core as ngc + +KINDS = ("int32", "uint64", "swapped_uint64") +# Every public reader of wide_integers, with separate rows for each array argument. Deferred +# options are exercised at their consuming call; nested hops and pair endpoints are included. +READERS = ( + "Graph.sources", + "Graph.destinations", + "Graph.capacities", + "Graph.costs", + "eligibility.nodes", + "eligibility.edges", + "from_csr.offsets", + "from_csr.parents", + "from_csr.edges", + "Path.hop", + "ShortestPaths.weights", + "FlowLedger.service", + "FlowLedger.reservation", + "reset.service", + "reset.reservation", + "saturated_boundary_edges.sources", + "FlowPolicy.sources", + "FlowPolicy.destinations", + "spf.roots", + "spf.targets", + "spf.residual", + "ksp.residual", + "from_routes.sources", + "from_routes.destinations", + "from_routes.weights", + "from_routes.residual", + "from_dag.sources", + "from_dag.destinations", + "from_dag.weights", + "from_dag.residual", + "evaluate_demand.sources", + "evaluate_demand.destinations", + "evaluate_pairs.sources", + "evaluate_pairs.destinations", + "evaluate_edge_failures.sources", + "evaluate_edge_failures.destinations", + "as_float", + "to_units", +) + + +def make(reader, kind): + arrays = [] + + def array(values): + dtype = ( + np.dtype("uint64").newbyteorder("S") + if kind == "swapped_uint64" + else np.dtype(kind) + ) + a = np.array(values * 1000 if len(values) == 1 else values, dtype=dtype) + arrays.append(a) + return a + + large = reader.startswith( + ( + "Graph.", + "from_csr.", + "Path.", + "ShortestPaths.", + "FlowLedger.", + "reset.", + "from_routes.", + "from_dag.", + ) + ) or reader in ("spf.residual", "ksp.residual") + n = 1001 if reader.startswith("from_csr.") else 2 + edges = 1000 if large else 1 + g = ngc.Graph(n, [0] * edges, [1] * edges, [10] * edges, [1] * edges, 1.0) + ledger = ngc.FlowLedger(g) + cfg = ngc.FlowPolicyConfig(routing=ngc.ShortestPaths()) + options = ngc.EvaluationOptions(cfg, offer=4) + dag = ngc.Path(g, [[0]]).to_dag() + fn, args = None, () + + def check(): + return None + + def initialize(cls, args, **kwargs): + obj = cls.__new__(cls) + return functools.partial(obj.__init__, **kwargs), args, obj + + if reader.startswith("Graph."): + values = [[0] * 1000, [1] * 1000, [10] * 1000, [1] * 1000] + position = ("sources", "destinations", "capacities", "costs").index( + reader.split(".")[1] + ) + values[position] = array(values[position]) + fn, args, obj = initialize(ngc.Graph, (2, *values, 1.0)) + + def check(): + return ( + obj.edge_sources().tolist(), + obj.edge_destinations().tolist(), + obj.edge_capacity_units().tolist(), + obj.edge_costs().tolist(), + ) + elif reader.startswith("eligibility."): + fn = g.eligibility + args = (array([0]), []) if reader.endswith("nodes") else ([], array([0])) + elif reader.startswith("from_csr."): + values = [[0, 0] + [1000] * 1000, [0] * 1000, list(range(1000))] + position = ("offsets", "parents", "edges").index(reader.split(".")[1]) + values[position] = array(values[position]) + fn, args = ngc.PredecessorDAG.from_csr, (g, *values) + elif reader == "Path.hop": + fn, args, obj = initialize(ngc.Path, (g, [array(list(range(1000)))])) + + def check(): + return plain(obj) + elif reader.startswith("ShortestPaths."): + weights = array([1]) + fn, args, obj = initialize( + ngc.ShortestPaths, + (), + allocation=ngc.RouteAllocation.WEIGHTED, + weight_basis=ngc.WeightBasis.EXPLICIT, + edge_weights=weights, + ) + + def check(): + return plain(obj.edge_weights) + elif reader.startswith("FlowLedger."): + if reader.endswith("service"): + fn, args, obj = initialize(ngc.FlowLedger, (g, array([8]))) + else: + fn, args, obj = initialize( + ngc.FlowLedger, (g,), reservation_baseline=array([8]) + ) + + def check(): + return (obj.residual().tolist(), obj.unreserved().tolist()) + elif reader.startswith("reset."): + fn = ( + ledger.reset + if reader.endswith("service") + else functools.partial(ledger.reset, reservation_baseline=array([8])) + ) + args = (array([8]),) if reader.endswith("service") else () + elif reader == "saturated_boundary_edges.sources": + fn, args = ledger.saturated_boundary_edges, (array([0]),) + elif reader.startswith("FlowPolicy."): + sources = array([0]) if reader.endswith("sources") else [0] + destinations = array([1]) if reader.endswith("destinations") else [1] + fn, args, obj = initialize(ngc.FlowPolicy, (ledger, sources, destinations, cfg)) + + def check(): + return obj.delivered() + elif reader.startswith("spf."): + roots = array([0]) if reader.endswith("roots") else [0] + opts = ngc.SpfOptions( + ngc.Direction.FORWARD, + targets=array([1]) if reader.endswith("targets") else None, + residual=array([8]) if reader.endswith("residual") else None, + ) + fn, args = ngc.spf, (g, roots, opts) + elif reader == "ksp.residual": + fn, args = ngc.ksp, (g, 0, 1, ngc.KspOptions(1, residual=array([8]))) + elif reader.startswith(("from_routes.", "from_dag.")): + factory, field = reader.split(".") + sources = array([0]) if field == "sources" else [0] + destinations = array([1]) if field == "destinations" else [1] + kwargs = {} + if field == "weights": + kwargs = dict( + allocation=ngc.RouteAllocation.WEIGHTED, + weight_basis=ngc.WeightBasis.EXPLICIT, + edge_weights=array([1]), + ) + elif field == "residual": + kwargs = dict( + allocation=ngc.RouteAllocation.WEIGHTED, + weight_basis=ngc.WeightBasis.RESIDUAL_SNAPSHOT, + residual=array([8]), + ) + route = [ngc.RouteDefinition(0, dag)] if factory == "from_routes" else dag + fn = functools.partial(getattr(ngc.ForwardingProgram, factory), **kwargs) + args = (g, sources, destinations, route) + elif reader.startswith("evaluate_"): + entry, field = reader.split(".") + sources = array([0]) if field == "sources" else [0] + destinations = array([1]) if field == "destinations" else [1] + fn = getattr(ngc, entry) + args = ( + (g, [(sources, destinations)], options) + if entry == "evaluate_pairs" + else (g, sources, destinations, options) + ) + elif reader in ("as_float", "to_units"): + fn, args = getattr(ngc, reader), (array(list(range(1000))), 1.0) + else: + raise AssertionError(reader) + + def snapshot(): + return [a.tobytes() for a in arrays], full_ledger_state(ledger) + + return fn, args, snapshot, check + + +def sweep(reader, kind): + fn, args, snapshot, check = make(reader, kind) + expected = plain(fn(*args)) + expected_check = check() + expected_after = snapshot() + failures = 0 + recovered = 0 + for point in range(2000): + fn, args, snapshot, check = make(reader, kind) + before = snapshot() + gc.collect() + hit, seen, result, error = ext._fail_python_allocation(fn, args, point, True) + if not hit: + assert error is None, (point, repr(error)) + assert plain(result) == expected, point + assert check() == expected_check, point + assert snapshot() == expected_after, point + assert seen == failures, (seen, failures) + assert failures > 0 or kind == "uint64" + print( + json.dumps( + dict( + reader=reader, + dtype=kind, + failures=failures, + recovered=recovered, + terminal="success", + ) + ), + flush=True, + ) + return + failures += 1 + if error is None: + # NumPy can recover a temporary-buffer allocation internally. A recovered cast + # must still give every original result and the same complete state. + assert plain(result) == expected, point + assert check() == expected_check, point + assert snapshot() == expected_after, point + recovered += 1 + else: + assert result is None and type(error) is MemoryError, (point, repr(error)) + assert snapshot() == before, point + assert plain(fn(*args)) == expected, point + assert check() == expected_check, point + assert snapshot() == expected_after, point + raise AssertionError("allocation sweep did not finish") + + +@needs_hooks +def test_integer_array_readers_propagate_allocation_failure_in_separate_processes(): + for reader in READERS: + for kind in KINDS: + result = subprocess.run( + [sys.executable, "-B", __file__, reader, kind, ext.__file__], + capture_output=True, + text=True, + timeout=180, + ) + assert result.returncode == 0, (reader, kind, result.stdout, result.stderr) + row = json.loads(result.stdout.splitlines()[-1]) + assert row["reader"] == reader and row["dtype"] == kind + assert row["terminal"] == "success" + assert row["failures"] > 0 or kind == "uint64" + if reader != "to_units" and kind != "uint64": + assert row["failures"] > row["recovered"] + + +if __name__ == "__main__": + assert Path(ext.__file__).resolve() == Path(sys.argv[3]).resolve() + sweep(sys.argv[1], sys.argv[2]) diff --git a/tests/py/test_ledger_projections.py b/tests/py/test_ledger_projections.py index a927206..186b127 100644 --- a/tests/py/test_ledger_projections.py +++ b/tests/py/test_ledger_projections.py @@ -7,7 +7,7 @@ import numpy as np import pytest -from helpers import COSTONLY, build, exact, ledger_state, t1_config +from helpers import SHORTEST_PATHS, build, exact, ledger_state, t1_config import netgraph_core as ngc @@ -50,7 +50,7 @@ def test_holds_are_never_added_to_carried_load(): # After the T1 call (carried 4, held 6) a ShortestPaths policy places the residual 6 (not 10 - 4 - 6). fg = ngc.FlowLedger(one10()) t1(fg, 0, 1, 1).replace(4, design_demand=6) - assert ngc.FlowPolicy(fg, 0, 1, COSTONLY).place(10).call_delivered == 6 + assert ngc.FlowPolicy(fg, 0, 1, SHORTEST_PATHS).place(10).call_delivered == 6 def test_unreserved_texts(): @@ -176,7 +176,7 @@ def test_reservation_output_and_record_holds(): for e, x in rec.edge_reservations: held[e] += x assert held == fg.reserved().tolist() - c = ngc.FlowPolicy(ngc.FlowLedger(twoh(2, 10)), [0, 1], 2, COSTONLY) + c = ngc.FlowPolicy(ngc.FlowLedger(twoh(2, 10)), [0, 1], 2, SHORTEST_PATHS) assert c.place(4, HOLDS).edge_reservations.tolist() == [0, 0] assert r.residual is None # only what is requested assert p.replace(12, design_demand=12).edge_reservations is None diff --git a/tests/py/test_native_allocation.py b/tests/py/test_native_allocation.py index 5f51f0a..31b87a0 100644 --- a/tests/py/test_native_allocation.py +++ b/tests/py/test_native_allocation.py @@ -33,8 +33,8 @@ import numpy as np from helpers import ( ALL_OUT, - COSTONLY, GLOBAL, + SHORTEST_PATHS, build, full_ledger_state, plain, @@ -167,7 +167,7 @@ def make(): ngc.FlowPolicy(ledger, [0, 1], 4, POOLED_LOSSY), ngc.FlowPolicy(ledger, 0, 4, pinned(g)), ngc.FlowPolicy( - ledger, 0, 4, COSTONLY if mode == "ORDERED" else POOLED_LOSSY + ledger, 0, 4, SHORTEST_PATHS if mode == "ORDERED" else POOLED_LOSSY ), ] for policy in policies: @@ -243,9 +243,9 @@ def make(): def frozen_cache_capacity(): g = graph() cache = ngc.ShortestPathCache(g) - ngc.evaluate_demand(g, 0, 4, ngc.EvaluationOptions(COSTONLY, cache=cache)) + ngc.evaluate_demand(g, 0, 4, ngc.EvaluationOptions(SHORTEST_PATHS, cache=cache)) cache.freeze() - opts = ngc.EvaluationOptions(COSTONLY, cache=cache, outputs=ALL_OUT) + opts = ngc.EvaluationOptions(SHORTEST_PATHS, cache=cache, outputs=ALL_OUT) return ngc.evaluate_demand, (g, 0, 4, opts), lambda: stats_of(cache) @@ -258,7 +258,7 @@ def with_orphan(call): def make(): g = graph() ledger = ngc.FlowLedger(g) - ngc.FlowPolicy(ledger, 0, 4, COSTONLY).place(2) + ngc.FlowPolicy(ledger, 0, 4, SHORTEST_PATHS).place(2) gc.collect() # the policy is gone: its record is an orphan fn, args = call(ledger) return fn, args, lambda: full_ledger_state(ledger) @@ -346,12 +346,12 @@ def tunnel_pairs(g, model): "resolve_to_paths": stateless( lambda g: (ngc.resolve_to_paths, (g, ngc.spf(g, 0, spf_opts()).dag, 0, 4, True)) ), - "place.costonly": placement(COSTONLY, traced=False), + "place.shortest_paths": placement(SHORTEST_PATHS, traced=False), "place.global": placement(GLOBAL, traced=False), "place_traced.global": placement(GLOBAL, traced=True), # Two sources: the pooled program's attribution and per-source rows, Lossy accounting, and # the equal source allocation's bisection. - "place.costonly_pooled_lossy": placement( + "place.shortest_paths_pooled_lossy": placement( POOLED_LOSSY, traced=False, sources=[0, 1] ), "place.global_equal": placement(GLOBAL_EQUAL, traced=False, sources=[0, 1]), @@ -403,7 +403,7 @@ def tunnel_pairs(g, model): ), "replace", ), - "forward.costonly_pooled_lossy_black_holes": operation( + "forward.shortest_paths_pooled_lossy_black_holes": operation( lambda g: POOLED_LOSSY, "forward", sources=[0, 1], @@ -432,7 +432,7 @@ def tunnel_pairs(g, model): ), "FlowRecord.route": getter( lambda g: (lambda p: (p.place(6), p.records()[0])[1])( - ngc.FlowPolicy(ngc.FlowLedger(g), 0, 4, COSTONLY) + ngc.FlowPolicy(ngc.FlowLedger(g), 0, 4, SHORTEST_PATHS) ), lambda r: r.route, ), diff --git a/tests/py/test_programs.py b/tests/py/test_programs.py index bc66043..9d6f1c3 100644 --- a/tests/py/test_programs.py +++ b/tests/py/test_programs.py @@ -93,7 +93,7 @@ def pinned( ) -def cost_only(allocation=EB, admission=LOSSLESS, routing=None, **fields): +def shortest_paths(allocation=EB, admission=LOSSLESS, routing=None, **fields): return ngc.FlowPolicyConfig( routing=shortest(routing, allocation=allocation, **fields), admission=admission ) @@ -201,16 +201,16 @@ def test_single_source_decomposed(): assert [t.path_cost for t in r.program.tunnels] == [2, 3] assert r.total_cost == 34 assert r.program.source_weights == ((0, 12),) - mf = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, cost_only(MF)).place(12) + mf = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, shortest_paths(MF)).place(12) assert mf.call_delivered == 2 assert listing(mf.program) == [(0, [0, 2], 2)] assert mf.program.source_weights == ((0, 2),) -def test_cost_only_split_program(): +def test_shortest_paths_split_program(): # A ShortestPaths split program lists no tunnel. g = graph(4, POOL2) - r = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, cost_only()).place(2) + r = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, shortest_paths()).place(2) assert r.program.tunnels == () assert r.program.source_weights is None assert r.program.sources == (0, 1) and r.program.destinations == (3,) @@ -261,7 +261,7 @@ def test_empty_roster_program(): # An empty roster installs an empty program. g = graph(2, ONE) p = ngc.FlowPolicy( - ngc.FlowLedger(g), 0, 1, cost_only(), g.eligibility(excluded_nodes=[0]) + ngc.FlowLedger(g), 0, 1, shortest_paths(), g.eligibility(excluded_nodes=[0]) ) r = p.place(1) assert r.termination == T.NO_ROUTE @@ -332,38 +332,38 @@ def test_global_support_wide_cost_and_ownership(): def test_explicit_weights(): # Configured (explicit) weights. g = par2(10, 10) - cfg = cost_only( + cfg = shortest_paths( W, LOSSY, weight_basis=ngc.WeightBasis.EXPLICIT, edge_weights=[1, 2] ) r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg).place( 12, ngc.OutputOptions(edge_flows=True) ) assert r.edge_flows.tolist() == [4, 8] - cap = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cost_only(W, LOSSY)).place( + cap = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, shortest_paths(W, LOSSY)).place( 12, ngc.OutputOptions(edge_flows=True) ) assert cap.edge_flows.tolist() == [6, 6] - ll = cost_only(W, weight_basis=ngc.WeightBasis.EXPLICIT, edge_weights=[1, 2]) + ll = shortest_paths(W, weight_basis=ngc.WeightBasis.EXPLICIT, edge_weights=[1, 2]) assert ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, ll).place(INF).call_delivered == 15 assert ngc.evaluate_demand(g, 0, 1, ngc.EvaluationOptions(ll)).call_delivered == 15 # A positive weight on an edge of capacity 0 becomes 0. z = par2(0, 10) - cfg = cost_only( + cfg = shortest_paths( W, LOSSY, weight_basis=ngc.WeightBasis.EXPLICIT, edge_weights=[5, 1] ) r = ngc.FlowPolicy(ngc.FlowLedger(z), 0, 1, cfg).place(7) assert (r.call_delivered, r.call_edge_drops) == (7, []) # A zero weight prunes. - cfg = cost_only(W, weight_basis=ngc.WeightBasis.EXPLICIT, edge_weights=[0, 3]) + cfg = shortest_paths(W, weight_basis=ngc.WeightBasis.EXPLICIT, edge_weights=[0, 3]) assert ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg).place(12).call_delivered == 10 - cfg = cost_only( + cfg = shortest_paths( W, LOSSY, weight_basis=ngc.WeightBasis.EXPLICIT, edge_weights=[0, 3] ) r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg).place(12) assert (r.call_delivered, r.call_edge_drops) == (10, [(1, 2)]) # Every weight 0. for adm, loss in ((LOSSY, 5), (LOSSLESS, 0)): - cfg = cost_only( + cfg = shortest_paths( W, adm, weight_basis=ngc.WeightBasis.EXPLICIT, edge_weights=[0, 0] ) r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cfg).place(5) @@ -380,7 +380,7 @@ def test_snapshot_weights(): def policy(admission, **fields): ledger = ngc.FlowLedger(g, [2, 10]) - return ngc.FlowPolicy(ledger, 0, 1, cost_only(W, admission, **fields)) + return ngc.FlowPolicy(ledger, 0, 1, shortest_paths(W, admission, **fields)) assert policy(LOSSLESS).place(12).call_delivered == 4 snap = ngc.WeightBasis.RESIDUAL_SNAPSHOT @@ -407,27 +407,29 @@ def test_weight_texts(): explicit = ngc.WeightBasis.EXPLICIT cases = [ ( - cost_only(weight_basis=ngc.WeightBasis.CAPACITY), + shortest_paths(weight_basis=ngc.WeightBasis.CAPACITY), "weight_basis requires allocation=WEIGHTED", ), ( - cost_only(edge_weights=[1, 1]), + shortest_paths(edge_weights=[1, 1]), "edge_weights require weight_basis=EXPLICIT", ), ( - cost_only(W, weight_basis=explicit), + shortest_paths(W, weight_basis=explicit), "weight_basis=EXPLICIT requires edge_weights", ), ( - cost_only(W, weight_basis=ngc.WeightBasis.CAPACITY, edge_weights=[1, 1]), + shortest_paths( + W, weight_basis=ngc.WeightBasis.CAPACITY, edge_weights=[1, 1] + ), "edge_weights require weight_basis=EXPLICIT", ), ( - cost_only(W, weight_basis=explicit, edge_weights=[1, 2, 3]), + shortest_paths(W, weight_basis=explicit, edge_weights=[1, 2, 3]), "edge_weights: expected 2 entries", ), ( - cost_only(W, weight_basis=explicit, edge_weights=[1, 1 << 62]), + shortest_paths(W, weight_basis=explicit, edge_weights=[1, 1 << 62]), "edge_weights[1] must be an integer in [0, 2^62)", ), ] @@ -438,13 +440,13 @@ def test_weight_texts(): ValueError, match=exact("edge_weights[0] must be an integer in [0, 2^62)") ): ngc.FlowPolicy( - ledger, 0, 1, cost_only(W, weight_basis=explicit, edge_weights=[-1, 1]) + ledger, 0, 1, shortest_paths(W, weight_basis=explicit, edge_weights=[-1, 1]) ) # An entry beyond int64 is refused when the model is built. with pytest.raises( ValueError, match=exact("edge_weights[1] must be an integer in [0, 2^62)") ): - cost_only(W, weight_basis=explicit, edge_weights=[1, 1 << 64]) + shortest_paths(W, weight_basis=explicit, edge_weights=[1, 1 << 64]) # The other models take no weights. for model in ( lambda **kw: ngc.CentralizedTE( @@ -458,8 +460,8 @@ def test_weight_texts(): with pytest.raises(TypeError): model(edge_weights=[1, 1]) with pytest.raises(TypeError): - cost_only(W, weight_basis=explicit, edge_weights=[True, 1]) - cfg = cost_only(W, weight_basis=explicit, edge_weights=[1, 2]) + shortest_paths(W, weight_basis=explicit, edge_weights=[True, 1]) + cfg = shortest_paths(W, weight_basis=explicit, edge_weights=[1, 2]) assert cfg.routing.edge_weights == (1, 2) @@ -1273,7 +1275,7 @@ def test_increments(): # A Lossless increment's refused units. one = graph(2, ONE) ledger = ngc.FlowLedger(one) - other = ngc.FlowPolicy(ledger, 0, 1, cost_only()) + other = ngc.FlowPolicy(ledger, 0, 1, shortest_paths()) other.place(8) p = pinned(one, tunnels(one, [0], [1], [(0, [0], 1)]), ledger=ledger) assert p.place(5).call_delivered == 2 @@ -1317,7 +1319,7 @@ def test_split_contexts(): assert pinned(g, prog).place(INF).call_delivered == 1 r = pinned(g, prog, LOSSY).replace(2, outputs=ngc.OutputOptions(edge_flows=True)) assert r.call_edge_drops == [(0, 1)] - pooled = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cost_only()) + pooled = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, shortest_paths()) r = pooled.place(INF, ngc.OutputOptions(edge_flows=True)) assert (r.call_delivered, r.edge_flows.tolist()) == (2, [1, 1]) @@ -1642,7 +1644,7 @@ def test_replay_split_routes(): # A stale remote tail repaired; a stale tunnel node repaired; frozen weights. g = graph(4, DIAM) prog = ( - ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, cost_only(admission=LOSSY)) + ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, shortest_paths(admission=LOSSY)) .place(1) .program ) @@ -1656,7 +1658,11 @@ def test_replay_split_routes(): assert [s.assigned for s in r.by_tunnel] == [10, 0] assert pinned(t, tp, LOSSLESS, m).place(INF).call_delivered == 10 z = par2(0, 10) - wp = ngc.FlowPolicy(ngc.FlowLedger(z), 0, 1, cost_only(W, LOSSY)).place(1).program + wp = ( + ngc.FlowPolicy(ngc.FlowLedger(z), 0, 1, shortest_paths(W, LOSSY)) + .place(1) + .program + ) fresh = par2(10, 10) r = pinned(z, wp, LOSSY, ledger=ngc.FlowLedger(z)).replace(5) assert (r.call_delivered, r.call_edge_drops) == (5, []) @@ -1668,7 +1674,7 @@ def test_replay_split_routes(): def test_stale_examples(): g = graph(4, DIAM) - p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, cost_only(admission=LOSSY)) + p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, shortest_paths(admission=LOSSY)) p.replace(100) installed = p.program r = p.forward(100, black_holes=g.eligibility(excluded_edges=[3])) @@ -1679,7 +1685,7 @@ def test_stale_examples(): assert p.program is installed and not r.routes_changed and not r.weights_changed assert p.replace(100).call_delivered == 100 w = graph(2, [(0, 1, 10), (0, 1, 40)]) - q = ngc.FlowPolicy(ngc.FlowLedger(w), 0, 1, cost_only(W, LOSSY)) + q = ngc.FlowPolicy(ngc.FlowLedger(w), 0, 1, shortest_paths(W, LOSSY)) q.replace(40) r = q.forward(40, black_holes=w.eligibility(excluded_edges=[0])) assert (r.call_delivered, r.call_edge_drops) == ( @@ -1687,7 +1693,7 @@ def test_stale_examples(): [(0, 8)], ) # a stale WCMP member wz = graph(2, [(0, 1, 0), (0, 1, 40)]) - q = ngc.FlowPolicy(ngc.FlowLedger(wz), 0, 1, cost_only(W, LOSSY)) + q = ngc.FlowPolicy(ngc.FlowLedger(wz), 0, 1, shortest_paths(W, LOSSY)) q.replace(1) assert q.forward(40).call_delivered == 40 # a stale WCMP member of capacity 0 rel = graph(4, REL) @@ -1712,7 +1718,7 @@ def test_stale_tunnels_and_pools(): assert r.call_edge_drops == [(1, 5)] assert pinned(t, tp, LOSSLESS, black_holes=bh).replace(10).call_delivered == 1 pool = graph(4, POOL2) - p = ngc.FlowPolicy(ngc.FlowLedger(pool), [0, 1], 3, cost_only(admission=LOSSY)) + p = ngc.FlowPolicy(ngc.FlowLedger(pool), [0, 1], 3, shortest_paths(admission=LOSSY)) p.replace(0) r = p.forward(2, outputs=ngc.OutputOptions(edge_flows=True)) assert (r.call_delivered, r.edge_flows.tolist()) == (2, [1, 1, 1, 1]) @@ -1722,12 +1728,12 @@ def test_stale_tunnels_and_pools(): [(0, 1)], ) # a stale pooled remainder zero = graph(2, [(0, 1, 0)]) - q = ngc.FlowPolicy(ngc.FlowLedger(zero), 0, 1, cost_only(W, LOSSY)) + q = ngc.FlowPolicy(ngc.FlowLedger(zero), 0, 1, shortest_paths(W, LOSSY)) q.replace(0) r = q.forward(2) assert (r.source_drops, r.termination) == (2, T.NO_ACTIVE_WEIGHT) one = graph(2, ONE) - q = ngc.FlowPolicy(ngc.FlowLedger(one), 0, 1, cost_only(admission=LOSSY)) + q = ngc.FlowPolicy(ngc.FlowLedger(one), 0, 1, shortest_paths(admission=LOSSY)) q.replace(0) r = q.forward(10, black_holes=one.eligibility(excluded_nodes=[0])) assert (r.source_drops, r.call_edge_drops, r.call_delivered) == (10, [], 0) @@ -1771,7 +1777,7 @@ def test_stale_with_mask_and_global(): def test_evaluate_publishes_nothing(): g = par2(10, 10) ledger = ngc.FlowLedger(g) - p = ngc.FlowPolicy(ledger, 0, 1, cost_only()) + p = ngc.FlowPolicy(ledger, 0, 1, shortest_paths()) p.replace(6) def state(): @@ -1795,7 +1801,7 @@ def state(): def test_replace_and_epochs(): g = par2(10, 10) ledger = ngc.FlowLedger(g) - p = ngc.FlowPolicy(ledger, 0, 1, cost_only()) + p = ngc.FlowPolicy(ledger, 0, 1, shortest_paths()) p.place(4) old = p.records()[0].flow_id r = p.replace(6) @@ -1809,7 +1815,7 @@ def test_replace_and_epochs(): INF, T.EXHAUSTED, ) - q = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cost_only()) + q = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, shortest_paths()) q.replace(10) r = q.replace(4) assert (r.call_delivered, r.delivery_delta) == (4, -6) @@ -1817,7 +1823,7 @@ def test_replace_and_epochs(): r = q.place(3) assert (r.call_delivered, r.requested, r.admitted) == (3, 7, 7) assert [rec.flow_id for rec in q.records()] == ids - lossy = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cost_only(admission=LOSSY)) + lossy = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, shortest_paths(admission=LOSSY)) lossy.replace(6) r = lossy.place(3) assert (r.call_delivered, r.offered, r.requested) == (3, 9, 9) @@ -1827,7 +1833,7 @@ def test_forward_keeps_the_program_and_flags(): g = par2(10, 10) ledger = ngc.FlowLedger(g, [2, 10]) a = ngc.FlowPolicy( - ledger, 0, 1, cost_only(W, weight_basis=ngc.WeightBasis.RESIDUAL_SNAPSHOT) + ledger, 0, 1, shortest_paths(W, weight_basis=ngc.WeightBasis.RESIDUAL_SNAPSHOT) ) assert a.replace(6).call_delivered == 6 b = pinned(g, tunnels(g, [0], [1], [(0, [1], 1)]), ledger=ledger) @@ -1842,7 +1848,7 @@ def test_forward_keeps_the_program_and_flags(): def test_forward_texts_and_order(): g = par2(10, 10) - p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cost_only(admission=LOSSY)) + p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, shortest_paths(admission=LOSSY)) with pytest.raises( ValueError, match=exact("offer must be an integer in [0, 2^62) or permitted +inf"), @@ -1888,11 +1894,11 @@ def test_forward_texts_and_order(): def test_zero_replace_and_first_flags(): g = graph(4, POOL2) - p = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, cost_only()) + p = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, shortest_paths()) r = p.replace(0) assert r.termination == T.COMPLETE and r.routes_changed and r.weights_changed assert [rec.delivered for rec in p.records()] == [0, 0] - q = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, cost_only()) + q = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, shortest_paths()) r = q.place(2) assert r.routes_changed and r.weights_changed r = q.place(2) @@ -1920,7 +1926,7 @@ def test_controller_flags(): ] assert flags[1:] == [(False, False), (False, False)] cost = ngc.FlowPolicy( - ngc.FlowLedger(par2(10, 10)), 0, 1, cost_only(admission=LOSSY) + ngc.FlowLedger(par2(10, 10)), 0, 1, shortest_paths(admission=LOSSY) ) cost.place(1) assert [cost.forward(x).routes_changed for x in (5, 7)] == [False, False] @@ -1940,7 +1946,7 @@ def test_pooled_records_in_pinned(): # shared router's traffic by highest averages). g = graph(4, POOL2) prog = ( - ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, cost_only(admission=LOSSY)) + ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, shortest_paths(admission=LOSSY)) .place(2) .program ) @@ -2006,8 +2012,8 @@ def test_evaluation_options_offer(): # A finite offer for every model under each admission it supports. t1 = ngc.FlowPolicyConfig(routing=ngc.DistributedTE(ngc.TunnelCount(1))) for opts in ( - ngc.EvaluationOptions(cost_only(admission=LOSSY), offer=5), - ngc.EvaluationOptions(cost_only(), offer=5), + ngc.EvaluationOptions(shortest_paths(admission=LOSSY), offer=5), + ngc.EvaluationOptions(shortest_paths(), offer=5), ngc.EvaluationOptions(global_(), offer=5), ngc.EvaluationOptions(cfg, offer=5), ngc.EvaluationOptions(t1, design_demand=6, offer=5), @@ -2419,7 +2425,7 @@ def test_pinned_facts_of_the_retired_reference_fixtures(): # zero-delivery call keeps the id and sets no flag (an offer-only call). g = graph(2, [(0, 1, 1)]) ledger = ngc.FlowLedger(g) - ngc.FlowPolicy(ledger, 0, 1, cost_only()).place(1) + ngc.FlowPolicy(ledger, 0, 1, shortest_paths()).place(1) p = pinned(g, tunnels(g, [0], [1], [(0, [0], 1)]), ledger=ledger) r = p.place(1) ids = [rec.flow_id for rec in p.records()] @@ -2441,7 +2447,12 @@ def test_pinned_facts_of_the_retired_reference_fixtures(): @needs_hooks @pytest.mark.parametrize( "case", - ["costonly replace", "costonly forward", "global evaluate", "pinned replace"], + [ + "shortest_paths replace", + "shortest_paths forward", + "global evaluate", + "pinned replace", + ], ) def test_operations_are_all_or_nothing(case): # Every Python object of evaluate, replace and forward exists before anything is published: @@ -2451,8 +2462,8 @@ def test_operations_are_all_or_nothing(case): g = graph(4, PINLOSS) prog = tunnels(g, [0], [3], [(0, [0, 2], 1), (0, [1, 3], 1)]) configs = { - "costonly replace": (cost_only(admission=LOSSY), "replace"), - "costonly forward": (cost_only(admission=LOSSY), "forward"), + "shortest_paths replace": (shortest_paths(admission=LOSSY), "replace"), + "shortest_paths forward": (shortest_paths(admission=LOSSY), "forward"), "global evaluate": (global_(), "evaluate"), "pinned replace": ( ngc.FlowPolicyConfig(routing=ngc.Pinned(prog), admission=LOSSY), @@ -2521,7 +2532,7 @@ def test_large_equal_weights_deliver_exactly_eight(kind, admission, w): ngc.FlowLedger(g), 0, 1, - cost_only( + shortest_paths( W, admission, weight_basis=ngc.WeightBasis.EXPLICIT, @@ -2556,7 +2567,7 @@ def test_large_unequal_weights_split_by_highest_averages(admission): ngc.FlowLedger(g), 0, 1, - cost_only( + shortest_paths( W, admission, weight_basis=ngc.WeightBasis.EXPLICIT, @@ -2579,7 +2590,7 @@ def test_full_zero_offer_is_complete(method, case, admission): # A full zero offer is COMPLETE (the first termination rule), after its preparation: an empty # roster and a program without a positive weight alike. g = graph(2, [(0, 1, 10)]) - cfg = cost_only( + cfg = shortest_paths( W, admission, weight_basis=ngc.WeightBasis.EXPLICIT, edge_weights=[0] ) eligibility = g.eligibility(excluded_edges=[0]) if case == "no-route" else None @@ -2721,11 +2732,11 @@ def test_change_flags_of_empty_programs_and_place_zero(): # none (an empty roster, replace(0) included) sets neither; place(0) prepares and installs # nothing, while the full zero offer replace(0) installs the program and follows the rows. g = graph(3, [(0, 1, 10), (2, 1, 10)]) # source 0 reaches 1; nothing reaches 2 - empty = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 2, cost_only()) + empty = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 2, shortest_paths()) r = empty.replace(0) assert r.program is not None and r.program.tunnels == () assert (r.routes_changed, r.weights_changed) == (False, False) - p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, cost_only()) + p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, shortest_paths()) r = p.place(0) assert r.program is None and p.program is None assert (r.routes_changed, r.weights_changed) == (False, False) diff --git a/tests/py/test_shortest_path_cache.py b/tests/py/test_shortest_path_cache.py index 4ae0eb7..99c573e 100644 --- a/tests/py/test_shortest_path_cache.py +++ b/tests/py/test_shortest_path_cache.py @@ -13,7 +13,7 @@ import _netgraph_core as ext import pytest from concurrency_support import run_test_in_subprocess -from helpers import ALL_OUT, COSTONLY, GLOBAL, build, exact, stats_of +from helpers import ALL_OUT, GLOBAL, SHORTEST_PATHS, build, exact, stats_of from private_hooks import needs_hooks import netgraph_core as ngc @@ -32,7 +32,9 @@ def prepopulate(g, keys): looks up the destinations' reverse support; the source is spine 6), frozen afterwards.""" cache = ngc.ShortestPathCache(g) for dst in keys: - ngc.evaluate_demand(g, 6, dst, ngc.EvaluationOptions(COSTONLY, cache=cache)) + ngc.evaluate_demand( + g, 6, dst, ngc.EvaluationOptions(SHORTEST_PATHS, cache=cache) + ) cache.freeze() return cache @@ -45,8 +47,10 @@ def stats(cache): def test_transition_table(): g = fabric() cache = ngc.ShortestPathCache(g) - opts = ngc.EvaluationOptions(COSTONLY, cache=cache) - want = ngc.evaluate_demand(g, 0, 3, ngc.EvaluationOptions(COSTONLY)).call_delivered + opts = ngc.EvaluationOptions(SHORTEST_PATHS, cache=cache) + want = ngc.evaluate_demand( + g, 0, 3, ngc.EvaluationOptions(SHORTEST_PATHS) + ).call_delivered assert want == 12 # three spines of 4: the comparisons below are not of zeros assert ngc.evaluate_demand(g, 0, 3, opts).call_delivered == want assert stats(cache) == (0, 1, 1) @@ -89,19 +93,22 @@ def test_frozen_cache_shared_by_every_worker(): pairs = [(0, 3), (1, 4), (2, 5), ([0, 1], [3, 4])] want = [ r.call_delivered - for r in ngc.evaluate_pairs(g, pairs, ngc.EvaluationOptions(COSTONLY)) + for r in ngc.evaluate_pairs(g, pairs, ngc.EvaluationOptions(SHORTEST_PATHS)) ] building = ngc.ShortestPathCache(g) with pytest.raises(ValueError, match="workers == 1"): ngc.evaluate_pairs( - g, pairs, ngc.EvaluationOptions(COSTONLY, cache=building), workers=2 + g, pairs, ngc.EvaluationOptions(SHORTEST_PATHS, cache=building), workers=2 ) assert all(w > 0 for w in want) # every pair places: the comparison is not of zeros cache = prepopulate(g, [[3], [4], [5], [3, 4]]) for workers in (1, 2, 4): before = stats(cache) got = ngc.evaluate_pairs( - g, pairs, ngc.EvaluationOptions(COSTONLY, cache=cache), workers=workers + g, + pairs, + ngc.EvaluationOptions(SHORTEST_PATHS, cache=cache), + workers=workers, ) assert [r.call_delivered for r in got] == want assert stats(cache) == (before[0] + 4, before[1], 4), workers # a hit per pair @@ -114,7 +121,7 @@ def test_frozen_cache_shared_by_every_worker(): ngc.evaluate_pairs( g, pairs[:3], - ngc.EvaluationOptions(COSTONLY, cache=partial), + ngc.EvaluationOptions(SHORTEST_PATHS, cache=partial), workers=workers, ) assert stats(partial) == (before[0], before[1] + 1, 1), workers @@ -128,18 +135,18 @@ def test_prepopulated_uids_and_intersections(): pairs = [(1, 4), (2, 5)] cache = ngc.ShortestPathCache(g) ngc.evaluate_demand( - g, 1, 4, ngc.EvaluationOptions(COSTONLY, eligibility=narrow, cache=cache) + g, 1, 4, ngc.EvaluationOptions(SHORTEST_PATHS, eligibility=narrow, cache=cache) ) ngc.evaluate_demand( - g, 2, 5, ngc.EvaluationOptions(COSTONLY, eligibility=common, cache=cache) + g, 2, 5, ngc.EvaluationOptions(SHORTEST_PATHS, eligibility=common, cache=cache) ) cache.freeze() - opts = ngc.EvaluationOptions(COSTONLY, eligibility=common, cache=cache) + opts = ngc.EvaluationOptions(SHORTEST_PATHS, eligibility=common, cache=cache) ngc.evaluate_pairs(g, pairs, opts, [narrow, None], workers=2) # returns the operand ngc.evaluate_pairs( g, pairs, - ngc.EvaluationOptions(COSTONLY, cache=cache), + ngc.EvaluationOptions(SHORTEST_PATHS, cache=cache), [narrow, common], workers=2, ) @@ -151,7 +158,7 @@ def test_prepopulated_uids_and_intersections(): def test_edge_failures_propagates_the_miss_and_global_rejects_a_cache(): g = fabric() cache = prepopulate(g, [[4]]) - opts = ngc.EvaluationOptions(COSTONLY, cache=cache) + opts = ngc.EvaluationOptions(SHORTEST_PATHS, cache=cache) for workers in (1, 2, 4): before = stats(cache) with pytest.raises(ngc.ShortestPathCacheMiss, match=r"roots \{4\}"): @@ -179,7 +186,9 @@ def _frozen_lookups_from_python_threads(): g = fabric() cache = prepopulate(g, [[d] for d in range(6)]) want = { - d: ngc.evaluate_demand(g, 6, d, ngc.EvaluationOptions(COSTONLY)).call_delivered + d: ngc.evaluate_demand( + g, 6, d, ngc.EvaluationOptions(SHORTEST_PATHS) + ).call_delivered for d in range(6) } # The spine's one edge of 4 into each leaf: the comparisons below are not of zeros. @@ -191,7 +200,7 @@ def reader(t): for i in range(60): d = (i + t) % 6 r = ngc.evaluate_demand( - g, 6, d, ngc.EvaluationOptions(COSTONLY, cache=cache) + g, 6, d, ngc.EvaluationOptions(SHORTEST_PATHS, cache=cache) ) assert r.call_delivered == want[d] except BaseException as exc: # reported below; pytest's own failures included @@ -217,7 +226,7 @@ def test_a_failed_call_changes_no_statistic_but_its_miss(): # worker and with several; ShortestPaths' evaluate_edge_failures drops its baseline's hit the same way. g = fabric() cache = prepopulate(g, [[3]]) - opts = ngc.EvaluationOptions(COSTONLY, cache=cache) + opts = ngc.EvaluationOptions(SHORTEST_PATHS, cache=cache) for workers in (1, 2, 4): before = stats_of(cache) with pytest.raises(ngc.ShortestPathCacheMiss, match=r"roots \{4\}"): @@ -228,7 +237,7 @@ def test_a_failed_call_changes_no_statistic_but_its_miss(): before = stats_of(cache) with pytest.raises(ngc.ShortestPathCacheMiss, match=r"roots \{3\}"): ngc.evaluate_edge_failures( - g, 0, 3, ngc.EvaluationOptions(COSTONLY, cache=cache), workers + g, 0, 3, ngc.EvaluationOptions(SHORTEST_PATHS, cache=cache), workers ) assert stats_of(cache) == plus(before, misses=1) before = stats_of(cache) @@ -245,7 +254,7 @@ def _concurrent_calls_keep_every_successful_hit(): # successful capacity (one hit) and a failing batch (its hit dropped, one miss). g = fabric() cache = prepopulate(g, [[3], [4]]) - opts = ngc.EvaluationOptions(COSTONLY, cache=cache) + opts = ngc.EvaluationOptions(SHORTEST_PATHS, cache=cache) errors = [] def caller(): @@ -311,7 +320,7 @@ def test_frozen_statistics_survive_python_allocation_failures(): g = fabric() cache = prepopulate(g, [[3], [4], [3, 4]]) opts = ngc.EvaluationOptions( - COSTONLY, + SHORTEST_PATHS, cache=cache, outputs=ALL_OUT, ) @@ -338,7 +347,7 @@ def test_frozen_statistics_survive_python_allocation_failures(): ) >= 2 ) - sens = ngc.EvaluationOptions(COSTONLY, cache=cache) + sens = ngc.EvaluationOptions(SHORTEST_PATHS, cache=cache) assert ( sweep_frozen(cache, ngc.evaluate_edge_failures, (g, 0, 3, sens, 1), miss=True) >= 1 @@ -347,7 +356,9 @@ def test_frozen_statistics_survive_python_allocation_failures(): # and no placed deletion. island = build(3, [(0, 1, 4, 1), (1, 0, 4, 1)]) small = ngc.ShortestPathCache(island) - ngc.evaluate_demand(island, 0, 1, ngc.EvaluationOptions(COSTONLY, cache=small)) + ngc.evaluate_demand( + island, 0, 1, ngc.EvaluationOptions(SHORTEST_PATHS, cache=small) + ) small.freeze() for workers in (1, 2): assert ( @@ -358,7 +369,7 @@ def test_frozen_statistics_survive_python_allocation_failures(): island, 2, 1, - ngc.EvaluationOptions(COSTONLY, cache=small), + ngc.EvaluationOptions(SHORTEST_PATHS, cache=small), workers, ), hits=1, @@ -378,8 +389,8 @@ def test_the_frozen_sweep_rejects_a_wrong_call(): g = fabric() cache = prepopulate(g, [[3]]) other = prepopulate(g, [[3]]) - opts = ngc.EvaluationOptions(COSTONLY, cache=cache, outputs=ALL_OUT) - elsewhere = ngc.EvaluationOptions(COSTONLY, cache=other, outputs=ALL_OUT) + opts = ngc.EvaluationOptions(SHORTEST_PATHS, cache=cache, outputs=ALL_OUT) + elsewhere = ngc.EvaluationOptions(SHORTEST_PATHS, cache=other, outputs=ALL_OUT) hit = (g, 0, 3, opts) miss = (g, 0, 5, opts) @@ -461,7 +472,7 @@ def inside_after_translation(*args): assert traceback.extract_tb(info.tb)[-1].line == clause, clause # Made outside the sweep, as every bound object. - uncached = ngc.EvaluationOptions(COSTONLY) + uncached = ngc.EvaluationOptions(SHORTEST_PATHS) def endless(*args): while True: diff --git a/tests/py/test_source_allocation.py b/tests/py/test_source_allocation.py index 441f029..72042a7 100644 --- a/tests/py/test_source_allocation.py +++ b/tests/py/test_source_allocation.py @@ -72,7 +72,7 @@ def glob(source_allocation=ORIGIN.OPTIMIZED, admission=A.LOSSLESS, **fields): ) -def cost_only( +def shortest_paths( allocation=P.EQUAL, admission=A.LOSSLESS, routing=None, source_allocation=None ): return ngc.FlowPolicyConfig( @@ -116,7 +116,7 @@ def test_defaults_resolve(): p = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, c) assert p.config.routing.source_allocation == ORIGIN.EQUAL assert p.config.routing.tie_break == ngc.RouteTieBreak.FEWER_HOPS - for cfg in (cost_only(P.OPTIMIZED), glob()): + for cfg in (shortest_paths(P.OPTIMIZED), glob()): assert ( ngc.FlowPolicy( ngc.FlowLedger(g), [0, 1], 3, cfg @@ -124,7 +124,7 @@ def test_defaults_resolve(): == ORIGIN.OPTIMIZED ) for cfg in ( - cost_only(P.OPTIMIZED, source_allocation=ORIGIN.EQUAL), + shortest_paths(P.OPTIMIZED, source_allocation=ORIGIN.EQUAL), glob(ORIGIN.EQUAL), ): assert ( @@ -157,17 +157,19 @@ def test_conversion_errors(): @pytest.mark.parametrize( ("config", "message"), [ - (cost_only(P.EQUAL, source_allocation=ORIGIN.OPTIMIZED), SOURCE_RULE), - (cost_only(P.WEIGHTED, source_allocation=ORIGIN.OPTIMIZED), SOURCE_RULE), + (shortest_paths(P.EQUAL, source_allocation=ORIGIN.OPTIMIZED), SOURCE_RULE), + (shortest_paths(P.WEIGHTED, source_allocation=ORIGIN.OPTIMIZED), SOURCE_RULE), ( - cost_only(P.OPTIMIZED, A.LOSSY), + shortest_paths(P.OPTIMIZED, A.LOSSY), "ShortestPaths OPTIMIZED requires admission=LOSSLESS", ), (glob(admission=A.LOSSY), CTE_LOSSY), (glob(ORIGIN.EQUAL, A.LOSSY), CTE_LOSSY), # The source rule before the pooled single-path rule. ( - cost_only(P.EQUAL, routing=PREFER_PATH, source_allocation=ORIGIN.OPTIMIZED), + shortest_paths( + P.EQUAL, routing=PREFER_PATH, source_allocation=ORIGIN.OPTIMIZED + ), SOURCE_RULE, ), ], @@ -231,7 +233,7 @@ def test_endpoints_before_ownership(): def test_amount_texts(): - _, _, p = fresh(ONE, 0, 1, cost_only()) + _, _, p = fresh(ONE, 0, 1, shortest_paths()) # One text, with the class of its cause: a bool is a wrong type, the rest wrong values. for bad, cls in [(v, ValueError) for v in (-1, 2**62, float("nan"), 1.5, -INF)] + [ (True, TypeError) @@ -261,7 +263,7 @@ def test_amount_texts(): def test_pooled_single_path_rule(): g = graph(POOL) for placement in (P.EQUAL, P.WEIGHTED, P.OPTIMIZED): - config = cost_only(placement, routing=PREFER_PATH) + config = shortest_paths(placement, routing=PREFER_PATH) # Two input sources, also when the mask leaves one. for eligibility in (None, g.eligibility(excluded_nodes=[1])): with pytest.raises(ValueError, match=exact(POOLED_PHP)): @@ -277,7 +279,7 @@ def test_pooled_single_path_rule(): ) # Multipath with a HIGHER_* tie_break (one member of each parallel pair: the equal # pair 2 -> 3 keeps its lower EdgeId, capacity 1) is accepted with two sources. - multipath = cost_only( + multipath = shortest_paths( placement, routing=ngc.ShortestPaths(tie_break=HIGHER_CAP, parallel_edges=False), ) @@ -288,7 +290,7 @@ def test_pooled_single_path_rule(): == 1 ) # evaluate_pairs checks each pair; pair 1 is the lowest failing. - opts = ngc.EvaluationOptions(cost_only(routing=PREFER_PATH)) + opts = ngc.EvaluationOptions(shortest_paths(routing=PREFER_PATH)) with pytest.raises(ValueError, match=exact(POOLED_PHP)): ngc.evaluate_pairs(g, [([0], 3), ([0, 1], 3)], opts) assert [ @@ -302,11 +304,11 @@ def test_pooled_single_path_rule(): def test_deterministic_single_paths_pool(): # Canonical paths 0: [e0, e2], 1: [e1, e2] (equal cost and hops, lower EdgeId e2). det = ngc.ShortestPaths(multipath=False) - _, _, p = fresh(POOL, [0, 1], 3, cost_only(routing=det)) + _, _, p = fresh(POOL, [0, 1], 3, shortest_paths(routing=det)) r = p.place(INF) assert (r.call_delivered, [x.admitted for x in r.by_source]) == (1, [1, 0]) # Lossy 2: e2's arrivals (1, 1), carried H(1, [1, 1]) = [1, 0]. - _, _, p = fresh(POOL, [0, 1], 3, cost_only(admission=A.LOSSY, routing=det)) + _, _, p = fresh(POOL, [0, 1], 3, shortest_paths(admission=A.LOSSY, routing=det)) r = p.place(2) assert (r.call_delivered, r.call_edge_drops) == (1, [(2, 1)]) assert rows(r) == [(0, 1, 1, 1, 0, 0), (1, 1, 1, 0, 0, 1)] @@ -417,7 +419,7 @@ def test_global_increments(): # Refused units are not offered again. g = graph(ONE) ledger = ngc.FlowLedger(g) - other = ngc.FlowPolicy(ledger, 0, 1, cost_only()) + other = ngc.FlowPolicy(ledger, 0, 1, shortest_paths()) other.place(8) p = ngc.FlowPolicy(ledger, 0, 1, glob()) assert p.place(5).call_delivered == 2 @@ -451,7 +453,7 @@ def test_global_increments(): (SPF, 0, 1, ORIGIN.OPTIMIZED, 0, 0, [[]]), ], ) -def test_cost_only_max_flow( +def test_shortest_paths_max_flow( edges, sources, dest, source_allocation, delivered, cost, records ): request = 5 if edges is SPF else 12 @@ -459,7 +461,7 @@ def test_cost_only_max_flow( edges, sources, dest, - cost_only(P.OPTIMIZED, source_allocation=source_allocation), + shortest_paths(P.OPTIMIZED, source_allocation=source_allocation), ) r = p.place(request, CUT) term = T.COMPLETE if delivered == request else T.EXHAUSTED @@ -469,9 +471,9 @@ def test_cost_only_max_flow( assert (r.marginal_cost_curve, r.min_cut) == (None, None) -def test_cost_only_max_flow_increments(): +def test_shortest_paths_max_flow_increments(): _, _, p = fresh( - R4, [0, 1], 2, cost_only(P.OPTIMIZED, source_allocation=ORIGIN.EQUAL) + R4, [0, 1], 2, shortest_paths(P.OPTIMIZED, source_allocation=ORIGIN.EQUAL) ) assert [p.place(3).call_delivered, p.place(3).call_delivered] == [3, 1] assert p.place(0).total_cost == 20 @@ -541,7 +543,7 @@ def test_total_cost_beyond_64_bits(edges, sources, dest, optimized, equal): assert want >= 2**64 for config in ( glob(source_allocation), - cost_only(P.OPTIMIZED, source_allocation=source_allocation), + shortest_paths(P.OPTIMIZED, source_allocation=source_allocation), ): p = ngc.FlowPolicy(ngc.FlowLedger(g), sources, dest, config) assert p.place(INF).total_cost == want @@ -560,10 +562,10 @@ def test_total_cost_beyond_64_bits(edges, sources, dest, optimized, equal): # -- zero calls, the result, terminations ---------------------------------------------------- -@pytest.mark.parametrize("routing", ["costonly", "global"]) +@pytest.mark.parametrize("routing", ["shortest_paths", "global"]) def test_zero_unprepared(routing): # A zero call before the preparation; after a positive call and after remove(). - config = cost_only() if routing == "costonly" else glob() + config = shortest_paths() if routing == "shortest_paths" else glob() g, ledger, p = fresh(PAR, 0, 1, config, residual=[4, 6]) def unprepared(r): @@ -636,7 +638,11 @@ def test_result_accounting(): ) # A row for every input source: 4 is masked, 1 has no route. _, _, p = fresh( - ROWS, [0, 1, 4], 3, cost_only(), lambda g: g.eligibility(excluded_nodes=[4]) + ROWS, + [0, 1, 4], + 3, + shortest_paths(), + lambda g: g.eligibility(excluded_nodes=[4]), ) assert rows(p.place(3)) == [ (0, None, 3, 3, 0, 0), @@ -645,7 +651,7 @@ def test_result_accounting(): ] # total_cost only for the controllers. g = graph(B1) - for config in (cost_only(), cost_only(P.WEIGHTED)): + for config in (shortest_paths(), shortest_paths(P.WEIGHTED)): assert ( ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, config).place(1).total_cost is None @@ -709,7 +715,7 @@ def test_equal_source_increments_beyond_64_bits(): def test_terminations(): # An empty roster (no edge reaches 1 from 0). - for config in (glob(), cost_only(), cost_only(admission=A.LOSSY)): + for config in (glob(), shortest_paths(), shortest_paths(admission=A.LOSSY)): _, _, p = fresh([(1, 0, 5, 1)], 0, 1, config) assert p.place(0).termination == T.COMPLETE r = p.place(5) @@ -721,14 +727,14 @@ def test_terminations(): else: assert (r.offered, r.unadmitted) == (None, 5) # Weighted splitting over the zero edge: no positive weight. - _, _, p = fresh(ZERO, 0, 1, cost_only(P.WEIGHTED, A.LOSSY)) + _, _, p = fresh(ZERO, 0, 1, shortest_paths(P.WEIGHTED, A.LOSSY)) r = p.place(2) assert (r.termination, r.call_source_drops, r.offered) == (T.NO_ACTIVE_WEIGHT, 2, 2) - _, _, p = fresh(ZERO, 0, 1, cost_only(P.WEIGHTED)) + _, _, p = fresh(ZERO, 0, 1, shortest_paths(P.WEIGHTED)) r = p.place(2) assert (r.termination, r.unadmitted) == (T.NO_ACTIVE_WEIGHT, 2) # A controller at zero over existing routes. - for config in (glob(), cost_only(P.OPTIMIZED)): + for config in (glob(), shortest_paths(P.OPTIMIZED)): _, _, p = fresh( SPF if config.routing.__class__ is ngc.ShortestPaths else ZERO, 0, 1, config ) @@ -757,9 +763,9 @@ def test_evaluators(): for config, delivered in ( (glob(ORIGIN.EQUAL), 4), (glob(), 12), - (cost_only(P.OPTIMIZED), 12), - (cost_only(P.OPTIMIZED, source_allocation=ORIGIN.EQUAL), 4), - (cost_only(), 4), + (shortest_paths(P.OPTIMIZED), 12), + (shortest_paths(P.OPTIMIZED, source_allocation=ORIGIN.EQUAL), 4), + (shortest_paths(), 4), ): assert ( ngc.evaluate_demand( @@ -769,12 +775,12 @@ def test_evaluators(): ) assert ( ngc.evaluate_demand( - graph(POOL), [0, 1], 3, ngc.EvaluationOptions(cost_only()) + graph(POOL), [0, 1], 3, ngc.EvaluationOptions(shortest_paths()) ).call_delivered == 2 ) r = ngc.evaluate_demand( - graph(PRIV), [0, 1], 2, ngc.EvaluationOptions(cost_only(admission=A.LOSSY)) + graph(PRIV), [0, 1], 2, ngc.EvaluationOptions(shortest_paths(admission=A.LOSSY)) ) assert (r.delivered, r.offered, r.requested, r.termination) == ( 10, @@ -799,7 +805,9 @@ def test_evaluators(): [(0, -10), (1, 0)], ) # Pooled ShortestPaths: deleting e0 takes source 0 out of the roster. - s = ngc.evaluate_edge_failures(g, [0, 1], 3, ngc.EvaluationOptions(cost_only())) + s = ngc.evaluate_edge_failures( + g, [0, 1], 3, ngc.EvaluationOptions(shortest_paths()) + ) assert ( s.baseline.call_delivered, [(e.edge, e.delivery_reduction) for e in s.entries], @@ -865,12 +873,12 @@ def test_controllers_random(seed): for s in ref.roster: for e in ref.route[s]: support[e] = True - for routing, allowed in (("global", edge_allowed), ("costonly", support)): + for routing, allowed in (("global", edge_allowed), ("shortest_paths", support)): for source_allocation in (ORIGIN.EQUAL, ORIGIN.OPTIMIZED): config = ( glob(source_allocation) if routing == "global" - else cost_only(P.OPTIMIZED, source_allocation=source_allocation) + else shortest_paths(P.OPTIMIZED, source_allocation=source_allocation) ) oracle = ( equal_source_allocation diff --git a/tests/py/test_units.py b/tests/py/test_units.py index 6d8b669..5ab2dd7 100644 --- a/tests/py/test_units.py +++ b/tests/py/test_units.py @@ -356,7 +356,7 @@ def test_physical_boundaries(call, cls): "x", [[True, False], (np.True_, np.False_), [True]], ids=["list", "numpy", "one"] ) def test_an_all_bool_sequence_keeps_its_dtype_text(x): - # Refused before amendment 6 too: the text stays NumPy's dtype, the class TypeError. + # A nonnumeric dtype is a type defect; its text names NumPy's dtype. with pytest.raises( TypeError, match=exact("to_units takes physical numbers (got dtype bool)") ) as error: diff --git a/tests/py/test_zero_capacity.py b/tests/py/test_zero_capacity.py index 5c258e5..4d1606b 100644 --- a/tests/py/test_zero_capacity.py +++ b/tests/py/test_zero_capacity.py @@ -12,10 +12,10 @@ import pytest from helpers import ( - COSTONLY, GLOBAL, HIGHER_CAP, HIGHER_HEADROOM, + SHORTEST_PATHS, config, dag_of, t1_config, @@ -88,7 +88,7 @@ def path(g, tie): def test_g8_for_every_model(): g = graph(3, S) - r, p = place(g, 0, 1, COSTONLY, 5) + r, p = place(g, 0, 1, SHORTEST_PATHS, 5) assert (r.call_delivered, r.call_undelivered, r.termination) == ( 0, 5, @@ -125,8 +125,8 @@ def test_g8_for_every_model(): def test_equal_and_weighted_splits_over_a_zero_member(): first = graph(2, [(0, 1, 0, 1), (0, 1, 10, 1)]) last = graph(2, [(0, 1, 10, 1), (0, 1, 0, 1)]) - assert place(first, 0, 1, COSTONLY, 10)[0].call_delivered == 0 - assert place(last, 0, 1, COSTONLY, 10)[0].call_delivered == 1 + assert place(first, 0, 1, SHORTEST_PATHS, 10)[0].call_delivered == 0 + assert place(last, 0, 1, SHORTEST_PATHS, 10)[0].call_delivered == 1 r, _ = place(first, 0, 1, config(ngc.ShortestPaths(), EB, LOSSY), 10) assert (r.call_delivered, r.edge_drops) == (5, [(0, 5)]) assert ( @@ -158,7 +158,7 @@ def test_two_sources_one_behind_a_zero_link(caps, lossless, drops): # (RR(1) gives source 0 the unit), 1 when source 1 is (RR(2) gives source 1 a unit). LOSSY # offers RR(10) = 5 and 5 and drops the share behind the zero link. g = graph(3, [(0, 2, caps[0], 1), (1, 2, caps[1], 1)]) - r, p = place(g, [0, 1], 2, COSTONLY, 10) + r, p = place(g, [0, 1], 2, SHORTEST_PATHS, 10) assert (r.call_delivered, r.termination) == (lossless, ngc.Termination.EXHAUSTED) assert [row.source for row in r.by_source] == [0, 1] assert len(p.records()) == 2 @@ -172,11 +172,13 @@ def test_b3_delete_zero_and_edge_failures(): g.eligibility(excluded_nodes=[0]), g.eligibility(excluded_edges=[0]), ): - assert place(g, [0, 1], 2, COSTONLY, 10, eligibility)[0].call_delivered == 10 + assert ( + place(g, [0, 1], 2, SHORTEST_PATHS, 10, eligibility)[0].call_delivered == 10 + ) assert place(g, [0, 1], 2, GLOBAL, 10, eligibility)[0].call_delivered == 10 # The zero-capacity source first, under the pooled equal source allocation, admits 0; removing the zero link takes source 0 # out of the program, so the deletion gains 10 (a negative loss); removing 1 -> 2 leaves 0. - s = ngc.evaluate_edge_failures(g, [0, 1], 2, ngc.EvaluationOptions(COSTONLY)) + s = ngc.evaluate_edge_failures(g, [0, 1], 2, ngc.EvaluationOptions(SHORTEST_PATHS)) assert ( s.baseline.call_delivered, [(e.edge, e.delivery_reduction) for e in s.entries], @@ -185,7 +187,9 @@ def test_b3_delete_zero_and_edge_failures(): [(0, -10), (1, 0)], ) # A negative loss for the zero-capacity link. - s8 = ngc.evaluate_edge_failures(graph(3, S), 0, 1, ngc.EvaluationOptions(COSTONLY)) + s8 = ngc.evaluate_edge_failures( + graph(3, S), 0, 1, ngc.EvaluationOptions(SHORTEST_PATHS) + ) assert [(e.edge, e.delivery_reduction) for e in s8.entries] == [ (0, -5), (1, 0), diff --git a/tests/typing/invalid_client.py b/tests/typing/invalid_client.py index 8e8ff12..4c181b9 100644 --- a/tests/typing/invalid_client.py +++ b/tests/typing/invalid_client.py @@ -8,6 +8,7 @@ """ import typing +from decimal import Decimal from fractions import Fraction import numpy as np @@ -108,3 +109,27 @@ def require_float(x: typing.SupportsIndex) -> float: ng.to_units(1.5, Fraction(1, 2)) # expect: reportCallIssue, reportArgumentType ng.as_float(3, Fraction(1, 2)) # expect: reportCallIssue, reportArgumentType + + +class IndexResolution: + def __index__(self) -> int: + return 1 + + +class FloatResolution: + def __float__(self) -> float: + return 1.0 + + +ng.Graph(2, [0], [1], [10], [1], Fraction(1)) # expect: reportArgumentType +ng.Graph(2, [0], [1], [10], [1], Decimal(1)) # expect: reportArgumentType +ng.Graph(2, [0], [1], [10], [1], IndexResolution()) # expect: reportArgumentType +ng.Graph(2, [0], [1], [10], [1], FloatResolution()) # expect: reportArgumentType + + +class BothResolution(IndexResolution, FloatResolution): + pass + + +ng.Graph(2, [0], [1], [10], [1], BothResolution()) # expect: reportArgumentType +ng.Graph(2, [0], [1], [10], [1], np.array(1.0)) # expect: reportArgumentType diff --git a/tests/typing/valid_client.py b/tests/typing/valid_client.py index 242d853..a6c5e0e 100644 --- a/tests/typing/valid_client.py +++ b/tests/typing/valid_client.py @@ -34,6 +34,12 @@ both = ng.Eligibility.intersect(eligibility, g.eligibility()) assert_type(both, ng.Eligibility) +# Graph resolutions take concrete Python and NumPy number scalars. +for resolution in (1, 1.0, np.int32(1), np.uint64(1), np.float32(1), np.float64(1)): + numeric_graph = ng.Graph(2, [0], [1], [10], [1], resolution) + assert_type(numeric_graph.resolution(), float) + assert numeric_graph.resolution() == 1.0 + # Units: scalars and Python sequences have known shapes; ndarray rank needs narrowing. assert_type(ng.to_units(1.5, 0.5), int) assert_type(ng.to_units(np.float32(0.1), np.int64(1)), int) From cf8178a7b45a59586e45d5d262b04624281fafad Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Thu, 22 Oct 2026 02:38:33 +0100 Subject: [PATCH 28/39] ShortestPaths keeps its static preparation across epochs A ShortestPaths policy whose routes and weights read only fixed values (FEWER_HOPS or HIGHER_CAPACITY, EQUAL or WEIGHTED with capacity or explicit weights) now keeps the program it first prepared and uses it again after remove() and at replace(), instead of building it again. Choices that read free capacity still prepare afresh. Results equal a fresh preparation in every field; no API, cache or statistics change. NetGraph's MSD search (one ledger per series, remove before each probe) runs about twice as fast on the new msd.loop.epochs timing row. Co-Authored-By: Claude Opus 5.5 --- CHANGELOG.md | 7 + CMakeLists.txt | 1 + README.md | 8 +- bindings/python/flow_policy.cpp | 7 +- dev/perf/README.md | 6 +- dev/perf/aba_api.hpp | 31 +- dev/perf/aba_rows.hpp | 38 +- dev/perf/test_tool.py | 65 ++- dev/pytest_guard.py | 2 + docs/semantics.md | 19 +- .../netgraph/core/detail/policy_engine.hpp | 4 + include/netgraph/core/flow_policy.hpp | 11 +- python/netgraph_core/__init__.pyi | 7 +- src/flow_policy.cpp | 29 +- tests/cpp/epoch_static_tests.cpp | 468 ++++++++++++++++++ tests/cpp/fault_injection.hpp | 2 + tests/cpp/flow_policy_fault_tests.cpp | 62 +++ tests/cpp/state_comparators.hpp | 42 +- tests/py/removed_names_reviewed.txt | 4 + tests/py/test_concurrency.py | 6 +- tests/py/test_epoch_static.py | 160 ++++++ 21 files changed, 951 insertions(+), 28 deletions(-) create mode 100644 tests/cpp/epoch_static_tests.cpp create mode 100644 tests/py/test_epoch_static.py diff --git a/CHANGELOG.md b/CHANGELOG.md index cdf062b..10551d9 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -36,6 +36,13 @@ API. ### Changed +- **Static ShortestPaths preparation**: an EQUAL or WEIGHTED `ShortestPaths` policy with + `FEWER_HOPS` or `HIGHER_CAPACITY` and static weights keeps its own program across epochs instead + of preparing it again. Removal still clears + the installed program and retires records; later calls forward on the current residual with + fresh record IDs and results equal to fresh preparation. Dynamic scores, residual snapshot + weights and OPTIMIZED allocation retain their existing computation. `evaluate` reads an + already retained preparation without installing one; ShortestPathCache behavior is unchanged. - **Performance tooling**: A/B/A harness builds use 64-byte function alignment on both the reference and candidate to reduce timing variation due to code placement. Wheel build flags are unchanged. - **Exact sensitivity**: unrestricted optimized `CentralizedTE` with a maximum baseline uses diff --git a/CMakeLists.txt b/CMakeLists.txt index ba84ea8..6dc7d9e 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -163,6 +163,7 @@ if(NETGRAPH_CORE_BUILD_TESTS) tests/cpp/flow_ledger_tests.cpp tests/cpp/flow_policy_fixture_tests.cpp tests/cpp/flow_policy_tests.cpp + tests/cpp/epoch_static_tests.cpp tests/cpp/zero_capacity_tests.cpp tests/cpp/pooled_source_allocation_tests.cpp tests/cpp/program_tests.cpp diff --git a/README.md b/README.md index c5a7d89..7ccbe57 100644 --- a/README.md +++ b/README.md @@ -136,7 +136,7 @@ specified in [docs/semantics.md](docs/semantics.md). `ForwardingProgram.from_dag(graph, sources, destinations, dag)` builds one shared hop-by-hop program on a DAG whose sources are pooled exactly as `ShortestPaths` pools them. - **`place(offer, outputs=None)`** adds `offer` to the policy's request as one all-or-nothing step - (`ShortestPaths` forwards over the program it prepares once per epoch; the controllers re-solve + (`ShortestPaths` forwards over the program fixed for its epoch; the controllers re-solve what they already deliver plus this request; T1 and T2 have no `place`) and returns a `PlacementResult`: this call's `call_delivered`, `call_undelivered`, `delivery_delta`, `call_edge_drops`, `call_source_drops`, `termination` and flags; the demand's `requested`, @@ -151,6 +151,12 @@ specified in [docs/semantics.md](docs/semantics.md). program (T1 keeps its tunnels and holds, T2 its tunnels and plan); `remove()` reverts the policy's flows and holds; `records()`, `record(flow_id)`, `delivered()`, `config` and `program` read its state. +- **Static preparation**: a `ShortestPaths` `EQUAL` or `WEIGHTED` policy with `FEWER_HOPS` or + `HIGHER_CAPACITY` and static weights keeps its immutable preparation across epochs, with results + equal to fresh preparation. Dynamic route scores, `RESIDUAL_SNAPSHOT` and `OPTIMIZED` still + prepare afresh. `remove()` clears the visible program and retires records; the private + preparation remains until policy destruction. `evaluate` reads it without installing one. + `ShortestPathCache` behavior and statistics are unchanged. - **`apply_actions(ledger, actions, *, mode=BatchMode.ORDERED, outputs=None)`**: the actions of several policies of one ledger (`Place(policy, offer)`, `Replace(policy, offer, *, design_demand=None)`, `Forward(policy, offer, *, black_holes=None)`, immutable values) as one diff --git a/bindings/python/flow_policy.cpp b/bindings/python/flow_policy.cpp index a0d35ca..9c66ef3 100644 --- a/bindings/python/flow_policy.cpp +++ b/bindings/python/flow_policy.cpp @@ -236,6 +236,8 @@ void register_flow_policy(py::module_& m) { "Requests add up within an epoch (from construction, the last remove(), replace() or forward());\n" "after float('inf') any finite request is rejected, 0 included. A request of 0 places nothing and\n" "reports the current state. ShortestPaths prepares its program at the epoch's first positive request;\n" + "with FEWER_HOPS or HIGHER_CAPACITY and EQUAL, CAPACITY or EXPLICIT weights the policy uses again the\n" + "program it prepared before (equal values; evaluate never keeps one, and remove still empties program).\n" "LOSSLESS admits the largest total in [admitted, admitted + offer] that the program carries with no\n" "loss (a refused unit is not offered again); LOSSY forwards the new round-robin (or captured-weight)\n" "injections, each head splitting its increment afresh (earlier drops are not offered again); a\n" @@ -296,8 +298,9 @@ void register_flow_policy(py::module_& m) { "Recompute from the policy's own released view and forward the full offer, published atomically ->\n" "PlacementResult: the old records and holds are retired (their ids never live again), new ones\n" "created, and a new epoch starts at this offer (delivery may go down: delivery_delta). ShortestPaths\n" - "prepares its routes again; a controller re-solves; T1 sets its tunnels up again for the design and\n" - "books their holds; T2 lays its tunnels out again for the design (planned bandwidth, never held);\n" + "prepares its routes again on that view (a static route choice uses its kept, equal program); a\n" + "controller re-solves; T1 sets its tunnels up again for the design and books their holds; T2 lays its\n" + "tunnels out again for the design (planned bandwidth, never held);\n" "Pinned forwards its program. design_demand (T1 and T2: int units, or float('inf'); None: equal to\n" "the offer): T1 needs a finite design (`DistributedTE requires a finite design demand`), T2 takes an unlimited\n" "one (its largest common size); every other model raises ` does not accept design_demand`.\n" diff --git a/dev/perf/README.md b/dev/perf/README.md index cb8b0a0..9ae2ae2 100644 --- a/dev/perf/README.md +++ b/dev/perf/README.md @@ -324,11 +324,11 @@ failed. | `sensitivity` | `sens.exact.{cut,partial,branch,reroute,capped}` | full exact-model sensitivity calls on a 64-link saturated chain, 32 partial-repair branches, 32 branches with a second upstream route and a shared downstream cut, 32 branches with a parallel upstream member and a downstream cut, and the chain at binding offer 1; nonuniform costs, baseline/classification/copies/results included | | `pooled` | `pooled.{ecmp,lossy}.clos`, `pooled.from_dag.clos`, `pooled.from_dag_build.clos` | 8 demands of 8 pooled sources on one ledger, Lossless / Lossy above capacity; the same demands by Pinned over prebuilt `from_dag` programs, and building those programs | | `global` | `global.equal.random` | equal-source-allocation CentralizedTE capacity, 2 demands of 4 sources | -| `program` | `program.forward.global`, `program.replay.lossy`, `program.stale.lossy`, `program.replace.costonly`, `program.ring.lossy` | forwarding programs: a CentralizedTE program forwarded, replayed under failures (Lossy), stale under black holes, ShortestPaths re-prepared by replace; a 64-head program on a ring of 64 links whose 64 barriers form one cyclic group (6 rounds) | +| `program` | `program.forward.global`, `program.replay.lossy`, `program.stale.lossy`, `program.replace.costonly`, `program.ring.lossy` | forwarding programs: a CentralizedTE program forwarded, replayed under failures (Lossy), stale under black holes, ShortestPaths pooled replace with retained static preparation and current released-view forwarding; a 64-head program on a ring of 64 links whose 64 barriers form one cyclic group (6 rounds) | | `batch` | `batch.{scalar,ordered,simultaneous}.clos`, `batch.simultaneous.ring` | several demands at once: the 8 pooled Lossy demands as 8 scalar `replace` calls, one ORDERED `apply_actions` list (the same work and digest) and one SIMULTANEOUS list (the joint evaluator; the demands share no link, so the same digest); the ring's 64 tunnels as 64 policies in one SIMULTANEOUS list (the same traffic amounts and digest as `program.ring.lossy`; 64 publishing policies against one, so a 2x operating budget that includes their per-policy bookkeeping) | | `t1` | `t1.setup.fabric`, `t1.forward.fabric` | T1 with 16 tunnels per head, 12 demands on one ledger: the setup with its holds; the installed programs forwarded under 32 offers | | `t2` | `t2.exact16.headroom`, `t2.exact16.cost`, `t2.upto256.headroom`, `t2.size.mesh` | T2 on the same fabric and demands: 16 tunnels per head with and without `prefer_headroom`, up to 256 with it; 16 tunnels for 10 heads on a 500-node mesh (2000 links, 5/8 to 8/8 free), sizing-dominated | -| `msd` | `msd.loop` | the maximum-supported-demand bracket and bisection with a per-series DAG cache | +| `msd` | `msd.loop`, `msd.loop.epochs` | the same maximum-supported-demand bracket, bisection, 64 demands and offers with a per-series DAG cache; `loop` creates a fresh ledger and policies per probe, `loop.epochs` keeps one ledger and its policies and removes every policy before each probe | | `ksp` | `ksp.fabric3_k8` | k = 8 shortest paths for 8 pairs | | `ksp` | `ksp.longprefix_k64` | 96-edge common prefix and 64 branches, k = 64; all prefix and result work timed | | `ksp` | `ksp.weighted_k32` | random 128 x6, seed64, four pairs, k = 32 | @@ -337,7 +337,7 @@ failed. | `ksp` | `ksp.k1` | the long-prefix population with k = 1 | | `cache` | `cache.cold`, `cache.warm`, `cache.frozen.reads` | 64 direct lookups from a cleared, prepopulated building, or prepopulated frozen cache | | `concurrency` | `concurrency.place_zero`, `delivered`, `program`, `config` | 10,000 calls of one operation on a prepared one-link policy (capacity 16, cost 3, q=1, replace(4)); config is the immutable control | -| `concurrency` | `concurrency.two_ledgers_serial`, `concurrency.two_ledgers_parallel` | 32 evaluate(32) calls on each independent ledger; 384-node/2816-edge layered graph, q=1, capacity 64, two thread launches and joins in both modes | +| `concurrency` | `concurrency.two_ledgers_serial`, `concurrency.two_ledgers_parallel` | 32 evaluate(32) calls on each independent ledger, reading the static preparation installed during setup; 384-node/2816-edge layered graph, q=1, capacity 64, two thread launches and joins in both modes | | `eligibility` | `eligibility.build_intersect` | 64 failure states built and intersected | | `construct` | the fourteen storage construction rows (`construct.wgrid256`, `fanout_clos`, `random1m_nat`, `random1m_scat`, `wide65k`, `k65536`, `k65537`, `star1m`, `sparse1m`, `empty1m`, `random65k_bprime`, `random65k_reversed`, `star1m_smallk`, `instar1m_smallk`) | the constructor on prepared input: many short rows, the sort fallback above 65,536 distinct costs and both sides of that limit, very long rows, mostly isolated nodes, an empty graph, input already in or reversed from edge-id order | | `spf` | the six storage search rows (`spf.to.{wgrid256,random1m,wide_fallback16k,width65536,width65537}`, `spf.full.random1m`) | 8 full searches each: the bucket queue, a large scattered graph, the heap, and both sides of the bucket-width limit 65,536 | diff --git a/dev/perf/aba_api.hpp b/dev/perf/aba_api.hpp index e97398d..5e22201 100644 --- a/dev/perf/aba_api.hpp +++ b/dev/perf/aba_api.hpp @@ -722,8 +722,8 @@ inline std::uint64_t pinned_failures(const Graph& g, const Program& prog, const } // A ShortestPaths Equal demand replaced while an outside ShortestPaths demand changes its load: for -// each load, the outside policy replaces its offer, then the demand replace(offer) re-prepares its -// program on the new released view and retires its records. One ledger for the row's iteration. +// each load, the outside policy replaces its offer, then the demand replace(offer) uses its static +// program on the new released view and retires its records (first preparation included). One ledger for the row's iteration. inline std::uint64_t replace_under_load(const Graph& g, const std::vector& srcs, int dst, const std::vector& outside_srcs, int outside_dst, const std::vector& loads, double offer) { @@ -911,6 +911,32 @@ struct ShortestPathsSeries { } }; +// One ledger and one policy per demand for the whole MSD series. Every probe begins +// by removing every policy, including before the first probe, then places in demand order. +struct ShortestPathsEpochSeries { + nc::ShortestPathCache cache; + nc::FlowLedger ledger; + std::vector> policies; + ShortestPathsEpochSeries(const Graph& graph, const Elig& elig, + const std::vector>& demands) + : cache(graph.ref()), ledger(graph.g) { + const auto cfg = config(nc::ShortestPaths {}, Kernel::Equal); + policies.reserve(demands.size()); + for (auto [source, destination] : demands) { + const nc::NodeId s[1] = {source}; + const nc::NodeId t[1] = {destination}; + policies.push_back(std::make_unique(ledger, s, t, cfg, elig.get(), &cache)); + } + } + std::vector place_all(const std::vector& offers) { + for (const auto& policy : policies) policy->remove(); + std::vector delivered(policies.size()); + for (std::size_t i = 0; i < policies.size(); ++i) + delivered[i] = nc::as_float(policies[i]->place(nc::to_units(offers[i], kResolution)).call_delivered, kResolution); + return delivered; + } +}; + inline double grid_resolution() { return kResolution; } // ShortestPathCache series: lookups (roots {r}, Reverse, no eligibility) for every root; cold: a fresh @@ -1003,6 +1029,7 @@ struct ParallelLedgers { auto worker = [&](std::size_t i) noexcept { try { for (int call = 0; call < 32; ++call) { + // evaluate reads the static preparation installed during setup, without publishing it. const auto r = policies[i]->evaluate(32); if (r.delivered != 32 || r.call_delivered != 32 || r.delivery_delta != 0 || r.by_source.size() != 32) { throw std::runtime_error("parallel evaluation differs"); diff --git a/dev/perf/aba_rows.hpp b/dev/perf/aba_rows.hpp index 30e601f..13c0cca 100644 --- a/dev/perf/aba_rows.hpp +++ b/dev/perf/aba_rows.hpp @@ -1103,7 +1103,7 @@ inline std::vector rows() { [=] { return failure_row(true); }}); r.push_back({"program.replace.costonly", "program", "ShortestPaths Equal replace() of 8 source leaves to one leaf, Clos 32x16, under 16 changing loads of " - "an outside demand (re-preparation on the released view, the retiring commit)", + "an outside demand (static preparation retained across replacements, the released view and retiring commit)", [=] { auto g = std::make_shared(abaapi::build(gen_clos(32, 16, 25))); std::vector loads; @@ -1201,6 +1201,40 @@ inline std::vector rows() { return d.h; }); }}); + r.push_back({"msd.loop.epochs", "msd", + "MSD bracket and bisection over ShortestPaths EB placement, one ledger and 64 policies per series, remove all before each probe, Clos 32x16", + [] { + auto g = std::make_shared(abaapi::build(gen_clos(32, 16, 22))); + auto el = std::make_shared(abaapi::eligibility(*g, {}, {})); + std::mt19937 rng(23); + std::vector> dem; + std::vector base; + while (dem.size() < 64) { + int s = int(rng() % 32), t = int(rng() % 32); + if (s != t) { dem.push_back({s, t}); base.push_back(double(1 + rng() % 5)); } + } + return Iter([g, el, dem, base] { + abaapi::ShortestPathsEpochSeries series(*g, *el, dem); + int probes = 0; + auto feasible = [&](double alpha) { + ++probes; + std::vector v(base.size()); + for (std::size_t i = 0; i < v.size(); ++i) v[i] = base[i] * alpha; + auto delivered = series.place_all(v); + for (std::size_t i = 0; i < v.size(); ++i) if (v[i] - delivered[i] > abaapi::grid_resolution()) return false; + return true; + }; + // NetGraph MaximumSupportedDemand: start 1, growth 2, resolution 0.01. + double lo = 0, hi = 0, alpha = 1; + if (feasible(alpha)) { lo = alpha; for (int k = 0; k < 32; ++k) { alpha *= 2; if (!feasible(alpha)) { hi = alpha; break; } lo = alpha; } } + else { hi = alpha; for (int k = 0; k < 32; ++k) { alpha /= 2; if (feasible(alpha)) { lo = alpha; break; } hi = alpha; } } + for (int k = 0; k < 32 && hi - lo > 0.01; ++k) { double mid = (lo + hi) / 2; (feasible(mid) ? lo : hi) = mid; } + Digest d; + d.add_d(lo); + d.add_i(probes); + return d.h; + }); + }}); // ---- k shortest paths, the DAG cache, eligibility auto prefix_population = [](int stem, int width, bool ties, bool parallels) { Arrays a; @@ -1310,7 +1344,7 @@ inline std::vector rows() { }}); for (bool parallel : {false, true}) { r.push_back({parallel ? "concurrency.two_ledgers_parallel" : "concurrency.two_ledgers_serial", "concurrency", - "Two independent ledgers, 32 evaluate(32) calls each; two thread launches/joins in both modes; layered graph 384 nodes/2816 edges", + "Two independent ledgers, 32 evaluate(32) calls each using static preparation installed in setup; two thread launches/joins in both modes; layered graph 384 nodes/2816 edges", [parallel] { auto fixture = std::make_shared(); return Iter([fixture, parallel] { return fixture->run(parallel); }); diff --git a/dev/perf/test_tool.py b/dev/perf/test_tool.py index 3ff04fd..e5cb092 100644 --- a/dev/perf/test_tool.py +++ b/dev/perf/test_tool.py @@ -3034,10 +3034,60 @@ def test_no_sdk(self): std::printf("IterationTimes equals the sorted list in %d cases\n", cases); return 0; } + +// Check every probe's complete delivery vector, not just the final bracket digest. +int test_msd_epochs() { + auto network = abaapi::build(gen_clos(32, 16, 22)); + auto el = abaapi::eligibility(network, {}, {}); + std::mt19937 rng(23); + std::vector> demands; + std::vector base; + while (demands.size() < 64) { + int s = int(rng() % 32), t = int(rng() % 32); + if (s != t) { demands.push_back({s, t}); base.push_back(double(1 + rng() % 5)); } + } + abaapi::ShortestPathsSeries fresh(network, el); + abaapi::ShortestPathsEpochSeries epochs(network, el, demands); + const auto uid = epochs.ledger.uid(); + std::int64_t last_id = -1; + int probes = 0; + auto feasible = [&](double alpha) { + ++probes; + std::vector offers(base.size()); + for (std::size_t i = 0; i < base.size(); ++i) offers[i] = base[i] * alpha; + const auto expected = fresh.place_all(demands, offers); + const auto actual = epochs.place_all(offers); + if (actual != expected) throw std::runtime_error("MSD epoch probe differs from fresh ledger"); + const auto records = epochs.ledger.records(); + if (records.size() != 64 || epochs.ledger.uid() != uid || records.front().flow_id.second <= last_id) + throw std::runtime_error("MSD epochs did not retain the ledger and retire all previous records"); + last_id = records.back().flow_id.second; + bool fits = true; + for (std::size_t i = 0; i < base.size(); ++i) + if (offers[i] - actual[i] > abaapi::grid_resolution()) fits = false; + return fits; + }; + double lo = 0, hi = 0, alpha = 1; + if (feasible(alpha)) { lo = alpha; for (int k = 0; k < 32; ++k) { alpha *= 2; if (!feasible(alpha)) { hi = alpha; break; } lo = alpha; } } + else { hi = alpha; for (int k = 0; k < 32; ++k) { alpha /= 2; if (feasible(alpha)) { lo = alpha; break; } hi = alpha; } } + for (int k = 0; k < 32 && hi - lo > 0.01; ++k) { double mid = (lo + hi) / 2; (feasible(mid) ? lo : hi) = mid; } + for (const auto& policy : epochs.policies) { + policy->remove(); + if (policy->program() || !policy->records().empty()) throw std::runtime_error("MSD remove left a visible epoch"); + } + const auto carried = epochs.ledger.carried(), reserved = epochs.ledger.reserved(); + if (!epochs.ledger.records().empty() || + std::any_of(carried.begin(), carried.end(), [](auto n) { return n != 0; }) || + std::any_of(reserved.begin(), reserved.end(), [](auto n) { return n != 0; })) + throw std::runtime_error("MSD remove did not restore the ledger"); + std::printf("MSD epochs: 64 demands, %d probes, lo %.8f; every delivery vector equals fresh\n", probes, lo); + return 0; +} } // namespace int main(int argc, char** argv) { if (argc == 2 && std::string(argv[1]) == "test-times") return test_times(); + if (argc == 2 && std::string(argv[1]) == "test-msd-epochs") return test_msd_epochs(); auto r = rows(); r.push_back({"test.constant", "test", "every iteration the same digest", [] { return constant(); }}); r.push_back({"test.fast", "test", "every iteration the same digest, at once", [] { @@ -3133,7 +3183,7 @@ def test_list(self): self.assertEqual(proc.returncode, 0, proc.stderr) rows = aba.row_list(proc.stdout.encode(), "aba-list") real = {k: v for k, v in rows.items() if not k.startswith("test.")} - self.assertEqual(len(real), 94) + self.assertEqual(len(real), 95) sums = sha256sums(HERE / "queries") lists = {} for name in sums: @@ -3167,7 +3217,7 @@ def test_blocks(self): real = [row for row in listed if not row.startswith("test.")] with concurrent.futures.ThreadPoolExecutor(os.cpu_count() or 1) as pool: procs = list(pool.map(lambda row: self.harness("aba-run", row, "1"), real)) - self.assertEqual(len(procs), 94) + self.assertEqual(len(procs), 95) for row, proc in zip(real, procs, strict=True): self.assertEqual(proc.returncode, 0, (row, proc.stderr)) self.assertEqual( @@ -3193,6 +3243,17 @@ def digest(row): digest("batch.simultaneous.clos"), digest("batch.ordered.clos") ) + def test_msd_epoch_row_matches_fresh_probes(self): + proc = self.harness("test-msd-epochs") + self.assertEqual(proc.returncode, 0, proc.stderr) + self.assertIn("every delivery vector equals fresh", proc.stdout) + results = [] + for row in ("msd.loop", "msd.loop.epochs"): + proc = self.harness("aba-run", row, "2") + self.assertEqual(proc.returncode, 0, (row, proc.stderr)) + results.append(aba.parse_block(proc.stdout.encode(), row, row)["digest"]) + self.assertEqual(*results) + def test_concurrency_rows_have_fixed_work_and_equal_serial_results(self): expected = { "concurrency.place_zero": 40000, diff --git a/dev/pytest_guard.py b/dev/pytest_guard.py index 573a50e..bd06153 100644 --- a/dev/pytest_guard.py +++ b/dev/pytest_guard.py @@ -24,6 +24,8 @@ # replay of the fixtures produced by the reference under tests/reference/policy/ (the # parametrizations of test_fixture) skips as well. EXPECTED_OFF_SKIPS = [ + "tests/py/test_epoch_static.py::test_reused_prepare_trace_is_non_null_and_equal_to_fresh[False]", + "tests/py/test_epoch_static.py::test_reused_prepare_trace_is_non_null_and_equal_to_fresh[True]", "tests/py/test_integer_array_allocation.py::test_integer_array_readers_propagate_allocation_failure_in_separate_processes", "tests/py/test_apportionment.py::test_apportionment_entries", ( diff --git a/docs/semantics.md b/docs/semantics.md index 2bca446..4e4a8af 100644 --- a/docs/semantics.md +++ b/docs/semantics.md @@ -992,9 +992,16 @@ per-entry records at zero. route. A roster of one source with `multipath=True` and a static weight basis (not `RESIDUAL_SNAPSHOT`) takes a one-pass preparation instead, which selects the route and builds its split in the same pass; its plan is the one the pooled builder makes of that route, so the - program is the same. The program is never refreshed or recomputed within the epoch. It is the policy's - `program`: one split context pooled over the roster, one split route per roster source (entry - identifier = roster position, weight 1), equal sources; it lists no tunnel. + program is the same. The program is never refreshed or recomputed within the epoch. It is the + policy's `program`: one split context pooled over the roster, one split route per roster source + (entry identifier = roster position, weight 1), equal sources; it lists no tunnel. With + `FEWER_HOPS` or `HIGHER_CAPACITY` and `EQUAL`, `CAPACITY` or `EXPLICIT` weights, a preparation + reads nothing that changes while the policy lives, so the policy keeps the program it first + published and uses it again at each later epoch's preparation: routes, order, costs and splits + equal a fresh preparation. Each policy keeps only its own program, until it is destroyed; + nothing is added to the cache or its statistics. `evaluate` uses a kept program but never keeps + one. `HIGHER_AVAILABLE_CAPACITY`, `HIGHER_HEADROOM` and `RESIDUAL_SNAPSHOT` prepare afresh at + every epoch. - **`ShortestPaths` with `OPTIMIZED`** is a controller restricted to shortest paths: it solves like `CentralizedTE` (below), but only over the union of the roster sources' routes prepared as above, edges of capacity 0 included (so a zero-capacity shortest route is never bypassed). @@ -1780,8 +1787,10 @@ What the call guarantees: `remove()` takes every flow of the policy out of the ledger (allocations reverted, records gone, ids retired), clears the installed program and starts a new epoch: the cumulative request, the round-robin position of the source split and the finite-or-infinite state are reset. The next -positive offer prepares again and creates new flows with new ids; ids are never reused. A -repeated `remove()` does nothing. A policy destroyed without `remove()` leaves its traffic and +positive offer prepares again (a `ShortestPaths` policy with a static route choice uses its kept, +equal program; see Routing models) and creates new flows with new ids; ids are never reused. +Until the next positive `place` or a `replace`, `program` reads empty, also when the policy keeps +a program. A repeated `remove()` does nothing. A policy destroyed without `remove()` leaves its traffic and holds in the ledger as orphans until `FlowLedger.reset()`; nothing is redistributed. `replace` and `forward` also start a new epoch (below). diff --git a/include/netgraph/core/detail/policy_engine.hpp b/include/netgraph/core/detail/policy_engine.hpp index 77dcda0..b3221c3 100644 --- a/include/netgraph/core/detail/policy_engine.hpp +++ b/include/netgraph/core/detail/policy_engine.hpp @@ -102,6 +102,10 @@ struct PolicyEngine { bool can_forward {false}; std::int64_t policy_id {0}; PolicyEpoch epoch {}; + // Argument-only classification, fixed at construction. A successful static split + // preparation is owned across epochs, separately from the visible installed program. + bool static_preparation {false}; + std::shared_ptr kept_program {}; // CentralizedTE: a capture request for the next solve's final state (the exact sensitivity model's // baseline); set and cleared by the evaluator. DeletionCapture* capture {nullptr}; diff --git a/include/netgraph/core/flow_policy.hpp b/include/netgraph/core/flow_policy.hpp index effd114..570ea24 100644 --- a/include/netgraph/core/flow_policy.hpp +++ b/include/netgraph/core/flow_policy.hpp @@ -42,7 +42,9 @@ struct TunnelCount { // Each routing mode has only the fields it uses. // ShortestPaths: hop-by-hop routing on each roster source's static shortest routes (all shortest // paths, with no directed cycles, edges of capacity 0 included, or the canonical single -// path), prepared once per epoch and fixed for it. The sources of the demand are pooled: a +// path), fixed for an epoch. With FewerHops or HigherCapacity and static weights the policy +// keeps its first program and uses it again at later epochs (values equal a fresh preparation). +// The sources of the demand are pooled: a // router shared by several sources adds their traffic and splits it once. Equal and Weighted forward the equal source allocation; Optimized is a controller // restricted to the union of those routes. Its program: one split route per roster source, // pooled into one split context (Equal, Weighted), or the controller's paths (Optimized). Its @@ -143,7 +145,7 @@ using Routing = std::variant PlacementResult: the old records and holds are retired (their ids never live again), new ones created, and a new epoch starts at this offer (delivery may go down: delivery_delta). ShortestPaths - prepares its routes again; a controller re-solves; T1 sets its tunnels up again for the design and - books their holds; T2 lays its tunnels out again for the design (planned bandwidth, never held); + prepares its routes again on that view (a static route choice uses its kept, equal program); a + controller re-solves; T1 sets its tunnels up again for the design and books their holds; T2 lays its + tunnels out again for the design (planned bandwidth, never held); Pinned forwards its program. design_demand (T1 and T2: int units, or float('inf'); None: equal to the offer): T1 needs a finite design (`DistributedTE requires a finite design demand`), T2 takes an unlimited one (its largest common size); every other model raises ` does not accept design_demand`. diff --git a/src/flow_policy.cpp b/src/flow_policy.cpp index e75d30f..7f23c32 100644 --- a/src/flow_policy.cpp +++ b/src/flow_policy.cpp @@ -684,6 +684,18 @@ PreparedShortestPaths prepare_shortest_path_program(PolicyCallContext& c) { const RouteAllocation allocation = std::get(pe.config.routing).allocation; PreparedShortestPaths out; out.flows.resize(k); + if (pe.kept_program) { + // Static split programs own each source's unpruned route and cost as well as + // the plan. Only fresh descriptors are needed; no retired record id is kept. + const auto& entries = ProgramAccess::data(*pe.kept_program).entries; + for (std::size_t i = 0; i < k; ++i) { + out.flows[i].source = pe.reachable_sources[i]; + out.flows[i].route = entries[i].route; + out.flows[i].min_route_cost = entries[i].min_route_cost; + } + out.program = pe.kept_program; + return out; + } std::vector> routes(k); std::shared_ptr single; // one source's plan from its one-pass creation for (std::size_t i = 0; i < k; ++i) { @@ -2048,6 +2060,11 @@ std::unique_ptr detail::PolicyAccess::prepare(FlowLedger& ledger, auto pe = std::make_unique(ledger, std::move(config)); pe->graph = LedgerAccess::graph(ledger); prepare_arguments(*pe, *pe->graph, sources, destinations, eligibility, cache, roster, search); + if (const auto* sp = std::get_if(&pe->config.routing)) { + pe->static_preparation = sp->allocation != RouteAllocation::Optimized && + (sp->tie_break == RouteTieBreak::FewerHops || sp->tie_break == RouteTieBreak::HigherCapacity) && + sp->weight_basis != WeightBasis::ResidualSnapshot; + } return pe; } @@ -2261,6 +2278,14 @@ PendingPolicyUpdate compute(const PolicyEngine& pe, const PolicyCall& rq) { return s; } +// Only publication acquires the retained owner. The program and its control block +// already exist; these moves/owner copies cannot allocate or fail. evaluate never +// reaches this step. Empty-roster programs keep their existing separate path. +void publish_epoch(PolicyEngine& pe, PolicyEpoch&& epoch) noexcept { + if (pe.static_preparation && !pe.kept_program && !pe.reachable_sources.empty()) pe.kept_program = epoch.program; + pe.epoch = std::move(epoch); +} + // The publication: the ledger's one atomic exchange (a place commits every live record and the new // ones; a full-offer call retires the live ones and creates the new ones), then the epoch. void publish(PolicyEngine& pe, PendingPolicyUpdate& s, bool full) { @@ -2269,7 +2294,7 @@ void publish(PolicyEngine& pe, PendingPolicyUpdate& s, bool full) { publication_event(ConcurrentStage::AfterLedgerExchange, &pe.ledger); // Committed: the epoch state follows (nothing below throws). for (std::size_t n = 0; n < s.fresh.size(); ++n) s.next_epoch.record_groups[s.fresh[n].first][s.fresh[n].second].record_counter = ids[n].second; - pe.epoch = std::move(s.next_epoch); + publish_epoch(pe, std::move(s.next_epoch)); } // A publishing call: compute and finish every fallible result/trace step before @@ -2365,7 +2390,7 @@ void publish_list(FlowLedger& ledger, std::span list, std::spanepoch = std::move(s.next_epoch); + publish_epoch(*list[which[k]].engine, std::move(s.next_epoch)); } } diff --git a/tests/cpp/epoch_static_tests.cpp b/tests/cpp/epoch_static_tests.cpp new file mode 100644 index 0000000..f14d01d --- /dev/null +++ b/tests/cpp/epoch_static_tests.cpp @@ -0,0 +1,468 @@ +// Static preparation ownership, value equivalence, every epoch entry point and +// dynamic exclusions. The fresh control discards only its private retained owner. +#include + +#include "netgraph/core/detail/policy_engine.hpp" +#include "netgraph/core/detail/program_data.hpp" +#include "netgraph/core/detail/private_hooks.hpp" +#include "netgraph/core/detail/trace.hpp" +#include "state_comparators.hpp" +#include "test_utils.hpp" + +using namespace netgraph::core; +using namespace netgraph::core::test; + +namespace { +const OutputOptions all {true, true, true, true, true}; +std::shared_ptr epoch_graph() { + return std::make_shared(make_graph(6, {{0, 2, 20, 1}, {1, 2, 20, 1}, {2, 3, 4, 1}, + {2, 3, 10, 1}, {2, 4, 20, 1}, {3, 5, 20, 1}, {4, 5, 20, 1}})); +} +std::vector static_configs(const Graph& g, bool pooled) { + std::vector out; + for (auto allocation : {RouteAllocation::Equal, RouteAllocation::Weighted}) + for (auto tie : {RouteTieBreak::FewerHops, RouteTieBreak::HigherCapacity}) + for (bool multipath : {false, true}) for (bool parallel : {false, true}) { + if (tie == RouteTieBreak::HigherCapacity && ((multipath && parallel) || (pooled && !multipath))) continue; + for (bool explicit_weights : {false, true}) { + if (allocation == RouteAllocation::Equal && explicit_weights) continue; + ShortestPaths sp; + sp.allocation = allocation; sp.tie_break = tie; sp.multipath = multipath; sp.parallel_edges = parallel; + if (explicit_weights) { + sp.weight_basis = WeightBasis::Explicit; + auto weights = std::make_shared>(static_cast(g.num_edges())); + for (std::size_t i = 0; i < weights->size(); ++i) (*weights)[i] = static_cast(i % 3); + sp.edge_weights = weights; + } + for (auto admission : {Admission::Lossless, Admission::Lossy}) out.push_back({sp, admission}); + } + } + return out; +} +void discard_kept(FlowPolicy& p) { detail::PolicyAccess::engine(p).kept_program.reset(); } +void compare(const FlowPolicy& p, const FlowPolicy& ref, const FlowLedger& ledger, const FlowLedger& fresh, + const PlacementResult& got, const PlacementResult& want) { + expect_same(got, want, "fresh preparation result"); + expect_same(ledger_state(ledger), ledger_state(fresh), "fresh preparation ledger"); + expect_same(epoch(p), epoch(ref), "fresh preparation epoch"); + expect_balanced(ledger, "retained preparation"); +} +} // namespace + +TEST(EpochStatic, EveryStaticCombinationReusesAcrossScalarAndListEpochsWithFreshValues) { + const auto g = epoch_graph(); + for (bool pooled : {false, true}) for (const auto& cfg : static_configs(*g, pooled)) { + const std::vector sources = pooled ? std::vector{0, 1} : std::vector{0}; + const std::vector targets {5}; + FlowLedger ledger(g), fresh(g); + FlowPolicy p(ledger, sources, targets, cfg), ref(fresh, sources, targets, cfg); + auto& engine = detail::PolicyAccess::engine(p); + ASSERT_TRUE(engine.static_preparation); + EXPECT_FALSE(engine.kept_program); + (void)p.evaluate(0, {}, all); + EXPECT_FALSE(engine.kept_program); + EXPECT_FALSE(p.program()); + (void)p.place(0); + EXPECT_FALSE(engine.kept_program); + auto got = p.place(6, all), want = ref.place(6, all); + compare(p, ref, ledger, fresh, got, want); + const auto kept = got.program; + ASSERT_TRUE(kept); + EXPECT_EQ(engine.kept_program.get(), kept.get()); + const auto before = epoch(p); + const auto before_ledger = ledger_state(ledger); + discard_kept(ref); + expect_same(p.evaluate(8, {}, all), ref.evaluate(8, {}, all), "warm evaluate"); + EXPECT_EQ(p.evaluate(8).program.get(), kept.get()); + expect_same(epoch(p), before, "evaluate read only"); + expect_same(ledger_state(ledger), before_ledger, "evaluate read only"); + p.remove(); ref.remove(); + EXPECT_FALSE(p.program()); + EXPECT_EQ(engine.kept_program.get(), kept.get()); + EXPECT_FALSE(p.place(0).program); + EXPECT_THROW((void)p.forward(1), std::invalid_argument); + discard_kept(ref); + got = p.place(7, all); want = ref.place(7, all); + EXPECT_EQ(got.program.get(), kept.get()); + compare(p, ref, ledger, fresh, got, want); + const auto old_id = p.records().front().flow_id.second; + discard_kept(ref); + got = p.replace(3, {}, all); want = ref.replace(3, {}, all); + EXPECT_EQ(got.program.get(), kept.get()); + EXPECT_GT(p.records().front().flow_id.second, old_id); + compare(p, ref, ledger, fresh, got, want); + for (bool replace : {false, true}) { + if (!replace) { p.remove(); ref.remove(); } + discard_kept(ref); + const Action a = replace ? Action(Replace {p, 9}) : Action(Place {p, 9}); + const Action b = replace ? Action(Replace {ref, 9}) : Action(Place {ref, 9}); + got = apply_actions(ledger, std::span(&a, 1), BatchMode::Ordered, all).front(); + want = apply_actions(fresh, std::span(&b, 1), BatchMode::Ordered, all).front(); + EXPECT_EQ(got.program.get(), kept.get()); + compare(p, ref, ledger, fresh, got, want); + } + if (cfg.admission == Admission::Lossy) { + discard_kept(ref); + const Action a = Replace {p, 4}, b = Replace {ref, 4}; + got = apply_actions(ledger, std::span(&a, 1), BatchMode::Simultaneous, all).front(); + want = apply_actions(fresh, std::span(&b, 1), BatchMode::Simultaneous, all).front(); + EXPECT_EQ(got.program.get(), kept.get()); + compare(p, ref, ledger, fresh, got, want); + } + const auto holes = g->eligibility({}, std::vector{2}); + got = p.forward(8, &holes, all); want = ref.forward(8, &holes, all); + compare(p, ref, ledger, fresh, got, want); + discard_kept(ref); + got = p.replace(5, {}, all); want = ref.replace(5, {}, all); + EXPECT_EQ(got.program.get(), kept.get()); + compare(p, ref, ledger, fresh, got, want); + } +} + +TEST(EpochStatic, DynamicChoicesNeverRetainAndChangeOnTheNewResidual) { + for (int mode = 0; mode < 4; ++mode) { + const auto g = std::make_shared(make_graph(2, {{0, 1, 10, 1}, {0, 1, mode == 1 ? 20 : 10, 1}})); + const std::vector src {0}, dst {1}; + ShortestPaths sp; + if (mode < 2) { + sp.tie_break = mode == 0 ? RouteTieBreak::HigherAvailableCapacity : RouteTieBreak::HigherHeadroom; + sp.parallel_edges = false; + } else if (mode == 2) { + sp.allocation = RouteAllocation::Weighted; + sp.weight_basis = WeightBasis::ResidualSnapshot; + } else sp.allocation = RouteAllocation::Optimized; + FlowLedger ledger(g); + FlowPolicy p(ledger, src, dst, {sp, mode < 3 ? Admission::Lossy : Admission::Lossless}); + ASSERT_FALSE(detail::PolicyAccess::engine(p).static_preparation); + const auto first = p.place(2); + const auto original = program_snapshot(first.program.get()); + // Outside traffic is pinned to e0 so its own route choice cannot hide the change. + const auto route = std::make_shared(*dag_of(*g, {0})); + RouteDefinition def {0, route}; + const auto outside_program = ForwardingProgram::from_routes(*g, src, dst, std::span(&def, 1)); + FlowPolicy outside(ledger, src, dst, {Pinned {outside_program}, Admission::Lossless}); + ASSERT_EQ(outside.place(mode == 1 ? 1 : 8).delivered, mode == 1 ? 1 : 8); + const auto next = p.replace(mode < 2 ? 1 : 12); + EXPECT_NE(next.program.get(), first.program.get()); + EXPECT_FALSE(detail::PolicyAccess::engine(p).kept_program); + EXPECT_FALSE(program_snapshot(next.program.get()) == original); + if (mode < 2) EXPECT_EQ(ascending_edges(*p.records().front().route), std::vector {1}); + else EXPECT_EQ(next.delivered, 12); + p.remove(); + EXPECT_NE(p.place(1).program.get(), first.program.get()); + for (bool replace : {false, true}) { + if (!replace) p.remove(); + const auto before_program = p.program(); + const Action action = replace ? Action(Replace {p, 1}) : Action(Place {p, 1}); + const auto result = apply_actions(ledger, std::span(&action, 1)).front(); + EXPECT_NE(result.program.get(), first.program.get()); + if (before_program) EXPECT_NE(result.program.get(), before_program.get()); + EXPECT_FALSE(detail::PolicyAccess::engine(p).kept_program); + } + if (mode < 3) { + const auto previous = p.program(); + const Action action = Replace {p, 1}; + const auto result = apply_actions(ledger, std::span(&action, 1), BatchMode::Simultaneous).front(); + EXPECT_NE(result.program.get(), previous.get()); + EXPECT_FALSE(detail::PolicyAccess::engine(p).kept_program); + } + + } +} + +TEST(EpochStatic, KeptProgramOwnsUnprunedRoutesAndLifetimeWithoutOldRecordIds) { + const auto g = std::make_shared(make_graph(2, {{0, 1, 0, 1}, {0, 1, 2, 1}})); + const std::vector s {0}, t {1}; + FlowLedger ledger(g); + ShortestPaths sp; sp.allocation = RouteAllocation::Weighted; + auto p = std::make_unique(ledger, s, t, FlowPolicyConfig {sp, Admission::Lossy}); + std::weak_ptr weak; + { + const auto result = p->place(2); + ASSERT_EQ(result.delivered, 2); + weak = result.program; + const auto& owner = detail::PolicyAccess::engine(*p).kept_program; + ASSERT_FALSE(owner.owner_before(result.program)); + ASSERT_FALSE(result.program.owner_before(owner)); + + EXPECT_EQ(ascending_edges(*p->records().front().route), (std::vector{0, 1})); + EXPECT_EQ(detail::ProgramAccess::data(*result.program).split_contexts[0].prepared_route->forwarding_edges, + (std::vector{1})); + } + const auto id = p->records().front().flow_id; + p->remove(); + EXPECT_FALSE(p->program()); EXPECT_FALSE(weak.expired()); + auto next = p->place(1); + EXPECT_EQ(next.program.get(), weak.lock().get()); + EXPECT_GT(p->records().front().flow_id.second, id.second); + EXPECT_THROW((void)ledger.record(id), std::invalid_argument); + p->remove(); p.reset(); + EXPECT_FALSE(weak.expired()); // independently returned immutable value owns it + next.program.reset(); + EXPECT_TRUE(weak.expired()); +} + +TEST(EpochStatic, ProgramComparatorDetectsWrongRetainedRouteCostWeightAndStructure) { + const auto g = epoch_graph(); + FlowLedger ledger(g); + const std::vector sources {0, 1}, dst {5}; + ShortestPaths sp; sp.allocation = RouteAllocation::Weighted; + FlowPolicy p(ledger, sources, dst, {sp, Admission::Lossy}); + const auto r = p.place(3); + const auto good = program_snapshot(r.program.get()); + auto wrong = good; + ASSERT_FALSE(wrong.weights.empty()); ASSERT_FALSE(wrong.weights.front().empty()); + ++wrong.weights.front().front(); + EXPECT_FALSE(good == wrong); + wrong = good; ASSERT_FALSE(wrong.structure.empty()); ++wrong.structure.back(); + EXPECT_FALSE(good == wrong); + wrong = good; ++wrong.members.front().front(); + EXPECT_FALSE(good == wrong); + // A writable, independently owned test value: never write through the real + // program's const ownership. initialize_storage rebuilds its own block/views. + const auto& original = detail::ProgramAccess::data(*r.program); + detail::ProgramData writable; + writable.graph_uid = original.graph_uid; + writable.tunnels = original.tunnels; + writable.source_weights = original.source_weights; + writable.source_weight_values = original.source_weight_values; + writable.entries = original.entries; + writable.split_contexts = original.split_contexts; + writable.uses_topology_basis = original.uses_topology_basis; + writable.common_replay_support = original.common_replay_support; + writable.source_supports = original.source_supports; + writable.pools_source_inflows = original.pools_source_inflows; + writable.initialize_storage(original.sources, original.destinations, original.reachable_sources, + original.excluded_nodes, original.excluded_edges); + auto block = std::make_shared(std::move(writable)); + const std::shared_ptr poisoned(block, &block->program); + ASSERT_TRUE(good == program_snapshot(poisoned.get())); + ++block->data.entries.front().min_route_cost; + EXPECT_FALSE(good == program_snapshot(poisoned.get())); + --block->data.entries.front().min_route_cost; + block->data.entries.front().route = dag_of(*g, {0}); + EXPECT_FALSE(good == program_snapshot(poisoned.get())); +} + +#if NETGRAPH_CORE_PRIVATE_HOOKS +namespace { +bool equal_trace(const detail::Trace& a, const detail::Trace& b) { + if (a.kind != b.kind || a.i != b.i || a.s != b.s || a.items.size() != b.items.size() || a.fields.size() != b.fields.size()) return false; + for (std::size_t i = 0; i < a.items.size(); ++i) if (!equal_trace(a.items[i], b.items[i])) return false; + for (std::size_t i = 0; i < a.fields.size(); ++i) + if (a.fields[i].first != b.fields[i].first || !equal_trace(a.fields[i].second, b.fields[i].second)) return false; + return true; +} +} +TEST(EpochStatic, TraceHasTheFreshPrepareMapOnReuseSingleAndPooled) { + const auto g = epoch_graph(); + for (bool pooled : {false, true}) { + FlowLedger ledger(g); + const std::vector src = pooled ? std::vector{0, 1} : std::vector{0}; + const std::vector dst {5}; + FlowPolicy p(ledger, src, dst, {}); + detail::Trace first, repeated, increment; + (void)detail::place_traced(p, 3, all, first); + p.remove(); + (void)detail::place_traced(p, 3, all, repeated); + ASSERT_TRUE(equal_trace(first, repeated)); + bool found = false; + for (const auto& field : repeated.fields) if (field.first == "prepare") { + found = true; EXPECT_EQ(field.second.kind, detail::Trace::Kind::Map); + } + EXPECT_TRUE(found); + (void)detail::place_traced(p, 1, all, increment); + for (const auto& field : increment.fields) if (field.first == "prepare") EXPECT_EQ(field.second.kind, detail::Trace::Kind::Null); + } +} +#endif + +TEST(EpochStatic, MaskedBranchJoinAndParallelPopulationsEqualFreshOnChangedResiduals) { + std::mt19937 random(8371); + for (int trial = 0; trial < 160; ++trial) { + std::vector edges; + for (NodeId u = 0; u < 6; ++u) { + edges.push_back({u, u + 1, 1 + Amount(random() % 8), 2}); + for (NodeId v = u + 1; v < 8; ++v) if (random() % 3 == 0) + for (int copy = 0; copy < 2; ++copy) edges.push_back({u, v, Amount(random() % 8), 1 + Cost(random() % 7)}); + } + edges.push_back({6, 7, 3, 2}); + const auto g = std::make_shared(make_graph(8, edges)); + std::vector excluded; + if (trial % 5 == 0) excluded = {0, 1}; + else if (trial % 7 == 0) excluded = {6, 7}; + else if (trial % 3 == 0) excluded = {3}; + const auto mask = g->eligibility(excluded, std::vector{EdgeId(random() % g->num_edges())}); + ShortestPaths sp; + sp.allocation = trial % 3 == 0 ? RouteAllocation::Equal : RouteAllocation::Weighted; + if (trial % 2 == 0) { sp.tie_break = RouteTieBreak::HigherCapacity; sp.parallel_edges = false; } + if (trial % 3 == 2) { + sp.weight_basis = WeightBasis::Explicit; + auto weights = std::make_shared>(static_cast(g->num_edges())); + for (auto& w : *weights) w = Amount(random() % 4); + sp.edge_weights = weights; + } + const FlowPolicyConfig cfg {sp, trial % 2 == 0 ? Admission::Lossless : Admission::Lossy}; + FlowLedger ledger(g), fresh(g); + const std::vector sources {0, 1}, destinations {6, 7}; + FlowPolicy p(ledger, sources, destinations, cfg, &mask), ref(fresh, sources, destinations, cfg, &mask); + auto got = p.place(3, all), want = ref.place(3, all); + compare(p, ref, ledger, fresh, got, want); + p.remove(); ref.remove(); + const auto chosen = EdgeId(random() % g->num_edges()); + const std::vector from {g->edge_sources()[static_cast(chosen)]}; + const std::vector to {g->edge_destinations()[static_cast(chosen)]}; + const RouteDefinition route {from[0], dag_of(*g, {chosen})}; + const auto outside = ForwardingProgram::from_routes(*g, from, to, std::span(&route, 1)); + const FlowPolicyConfig pinned {Pinned {outside}, Admission::Lossless}; + FlowPolicy q(ledger, from, to, pinned), q_ref(fresh, from, to, pinned); + (void)q.place(3); (void)q_ref.place(3); + discard_kept(ref); + got = p.place(9, all); want = ref.place(9, all); + compare(p, ref, ledger, fresh, got, want); + } +} + +TEST(EpochStatic, WideCountersAndLargestLegalRouteCostAreFreshAfterRemove) { + constexpr Amount m = kL62 - 1; + const auto g = std::make_shared(make_graph(3, {{0, 1, 0, kL62 / 2 - 1}, {1, 2, 0, kL62 / 2}})); + FlowLedger ledger(g); + const std::vector source {0}, destination {2}; + FlowPolicy p(ledger, source, destination, {ShortestPaths {}, Admission::Lossy}); + PlacementResult r; + for (int call = 0; call < 5; ++call) r = p.place(m); + ASSERT_TRUE(r.offered); ASSERT_TRUE(r.requested); + EXPECT_EQ(r.offered->hi, 1U); EXPECT_EQ(r.offered->lo, static_cast(kL62 - 5)); + EXPECT_EQ(*r.requested, *r.offered); + EXPECT_EQ(p.records().front().min_route_cost, m); + const auto kept = r.program; + p.remove(); + r = p.place(1); + EXPECT_EQ(r.program.get(), kept.get()); + EXPECT_EQ(r.offered->hi, 0U); EXPECT_EQ(r.offered->lo, 1U); + EXPECT_EQ(p.records().front().min_route_cost, m); +} + +TEST(EpochStatic, ColdListPreparationSeedsTheOwnerBeforeLaterEpochs) { + const auto g = epoch_graph(); + for (bool pooled : {false, true}) for (const auto& cfg : static_configs(*g, pooled)) + for (auto mode : {BatchMode::Ordered, BatchMode::Simultaneous}) { + if (mode == BatchMode::Simultaneous && cfg.admission != Admission::Lossy) continue; + FlowLedger ledger(g); + const std::vector sources = pooled ? std::vector{0, 1} : std::vector{0}; + FlowPolicy p(ledger, sources, std::vector{5}, cfg); + const Action action = Replace {p, 3}; + const auto first = apply_actions(ledger, std::span(&action, 1), mode, all).front(); + EXPECT_EQ(detail::PolicyAccess::engine(p).kept_program.get(), first.program.get()); + p.remove(); + const auto repeated = apply_actions(ledger, std::span(&action, 1), mode, all).front(); + EXPECT_EQ(repeated.program.get(), first.program.get()); + expect_same(repeated, first, "cold-list then retained list"); + p.remove(); + EXPECT_EQ(p.place(3).program.get(), first.program.get()); + } +} + +TEST(EpochStatic, SuppliedCacheStatisticsFreezeAndClearKeepTheirOriginalBehavior) { + const auto g = std::make_shared(make_graph(2, {{0, 1, 4, 1}, {0, 1, 10, 1}})); + ShortestPathCache cache(*g); + { + FlowLedger ledger(g); + const std::vector source {0}, destination {1}; + FlowPolicy p(ledger, source, destination, {}, nullptr, &cache); + const auto before = cache.stats(); + ASSERT_EQ(before.entries, 1); ASSERT_EQ(before.misses, 1); ASSERT_EQ(before.live_values, 1); + cache.freeze(); + const auto original = p.place(3).program; + for (int epoch = 0; epoch < 3; ++epoch) { + p.remove(); + EXPECT_EQ(p.place(3).program.get(), original.get()); + EXPECT_EQ(p.evaluate(3).program.get(), original.get()); + const auto now = cache.stats(); + EXPECT_EQ(now.hits, before.hits); EXPECT_EQ(now.misses, before.misses); + EXPECT_EQ(now.entries, before.entries); EXPECT_EQ(now.bytes, before.bytes); EXPECT_EQ(now.live_values, before.live_values); + } + EXPECT_THROW(cache.clear(), std::invalid_argument); + cache.thaw(); cache.clear(); + EXPECT_EQ(cache.stats().entries, 0); EXPECT_EQ(cache.stats().bytes, 0); EXPECT_EQ(cache.stats().live_values, 1); + p.remove(); + EXPECT_EQ(p.place(1).program.get(), original.get()); + EXPECT_EQ(cache.stats().misses, before.misses); + } + EXPECT_EQ(cache.stats().live_values, 0); +} + +namespace { +void check_separate_programs(bool explicit_weights) { + const auto g = std::make_shared(make_graph(2, {{0, 1, 12, 1}, {0, 1, 12, 1}})); + const auto mask = g->eligibility({}, std::vector{0}); + const std::vector source {0}, destination {1}; + ShortestPaths first_choice, second_choice; + if (explicit_weights) { + first_choice.allocation = second_choice.allocation = RouteAllocation::Weighted; + first_choice.weight_basis = second_choice.weight_basis = WeightBasis::Explicit; + first_choice.edge_weights = std::make_shared>(std::vector{1, 2}); + second_choice.edge_weights = std::make_shared>(std::vector{2, 1}); + } + const FlowPolicyConfig first_config {first_choice, Admission::Lossless}; + const FlowPolicyConfig second_config {second_choice, Admission::Lossless}; + const Eligibility* second_mask = explicit_weights ? nullptr : &mask; + FlowLedger ledger(g), fresh(g); + FlowPolicy first(ledger, source, destination, first_config); + FlowPolicy second(ledger, source, destination, second_config, second_mask); + FlowPolicy first_ref(fresh, source, destination, first_config); + FlowPolicy second_ref(fresh, source, destination, second_config, second_mask); + std::shared_ptr kept_first, kept_second; + auto check = [&](FlowPolicy& policy, FlowPolicy& ref, std::shared_ptr& kept, + const std::shared_ptr& other, Amount offer, + const std::vector& carried, const std::vector& edges) { + discard_kept(ref); + const auto got = policy.place(offer, all), want = ref.place(offer, all); + compare(policy, ref, ledger, fresh, got, want); + ASSERT_TRUE(got.program); + if (!kept) kept = got.program; + EXPECT_EQ(got.program.get(), kept.get()); + if (other) EXPECT_NE(got.program.get(), other.get()); + EXPECT_EQ(detail::PolicyAccess::engine(policy).kept_program.get(), kept.get()); + EXPECT_EQ(got.delivered, offer); + EXPECT_EQ(ledger.carried(), carried); + const auto records = policy.records(); + ASSERT_EQ(records.size(), 1U); + EXPECT_EQ(records.front().delivered, offer); + EXPECT_EQ(records.front().min_route_cost, 1); + EXPECT_EQ(ascending_edges(*records.front().route), edges); + std::vector> edge_flows; + for (EdgeId e = 0; e < 2; ++e) + if (carried[static_cast(e)]) edge_flows.emplace_back(e, carried[static_cast(e)]); + EXPECT_EQ(records.front().edge_flows, edge_flows); + policy.remove(); ref.remove(); + EXPECT_FALSE(policy.program()); + EXPECT_EQ(detail::PolicyAccess::engine(policy).kept_program.get(), kept.get()); + expect_same(ledger_state(ledger), ledger_state(fresh), "separate-policy removal"); + EXPECT_TRUE(ledger.records().empty()); + }; + for (Amount offer : {3, 6, 9, 6}) { + SCOPED_TRACE(offer); + // Equal RR gives [(offer+1)/2, offer/2]; masking e0 gives [0, offer]. + // For offers divisible by 3, weights [1,2] and [2,1] give [n,2n] and [2n,n]. + check(first, first_ref, kept_first, kept_second, offer, + explicit_weights ? std::vector{offer / 3, 2 * (offer / 3)} + : std::vector{(offer + 1) / 2, offer / 2}, {0, 1}); + check(second, second_ref, kept_second, kept_first, offer, + explicit_weights ? std::vector{2 * (offer / 3), offer / 3} + : std::vector{0, offer}, + explicit_weights ? std::vector{0, 1} : std::vector{1}); + ASSERT_TRUE(kept_first); ASSERT_TRUE(kept_second); + EXPECT_NE(kept_first.get(), kept_second.get()); + EXPECT_FALSE(program_snapshot(kept_first.get()) == program_snapshot(kept_second.get())); + } +} +} // namespace + +TEST(EpochStatic, SeparateMaskedPoliciesKeepOwnProgramsAcrossEpochs) { + check_separate_programs(false); +} + +TEST(EpochStatic, SeparateExplicitWeightPoliciesKeepOwnProgramsAcrossEpochs) { + check_separate_programs(true); +} diff --git a/tests/cpp/fault_injection.hpp b/tests/cpp/fault_injection.hpp index 9d843d2..141a0ec 100644 --- a/tests/cpp/fault_injection.hpp +++ b/tests/cpp/fault_injection.hpp @@ -104,6 +104,7 @@ inline long sweep_placement(const std::shared_ptr& g, const std::st FlowPolicy& p = *staged.policy; expect_same(ledger_state(fg), initial, w + " (setup)"); expect_same(epoch(p), initial_epoch, w + " (setup)"); + const auto* initial_kept = detail::PolicyAccess::engine(p).kept_program.get(); PlacementResult got; if (!fails_at(at, [&] { got = call(p); })) { expect_same(got, want, w + " (no failure)"); @@ -115,6 +116,7 @@ inline long sweep_placement(const std::shared_ptr& g, const std::st // Failed: nothing changed, ledger and policy. expect_same(ledger_state(fg), initial, w + " (failed call)"); expect_same(epoch(p), initial_epoch, w + " (failed call)"); + EXPECT_EQ(detail::PolicyAccess::engine(p).kept_program.get(), initial_kept) << w; expect_balanced(fg, w + " (failed call)"); // A clean retry is the reference call (no poisoned per-thread scratch). expect_same(call(p), want, w + " (retry)"); diff --git a/tests/cpp/flow_policy_fault_tests.cpp b/tests/cpp/flow_policy_fault_tests.cpp index aed17d6..ac1027f 100644 --- a/tests/cpp/flow_policy_fault_tests.cpp +++ b/tests/cpp/flow_policy_fault_tests.cpp @@ -1978,3 +1978,65 @@ TEST(PolicyFaults, ParallelRosterPreparationFailsCleanly) { } } } + +TEST(PolicyFaults, StaticPreparationFirstAndRetainedEpochsAreAtomic) { + const auto g = graph(); + const OutputOptions all {true, true, true, true, true}; + for (bool pooled : {false, true}) for (bool weighted : {false, true}) for (int stage = 0; stage < 3; ++stage) { + const auto setup = [&](FlowLedger& ledger) { + ShortestPaths sp; + if (weighted) { sp.allocation = RouteAllocation::Weighted; sp.weight_basis = WeightBasis::Explicit; + sp.edge_weights = std::make_shared>(static_cast(g->num_edges()), 1); } + auto p = std::make_shared(ledger, pooled ? std::vector{0, 1} : std::vector{0}, + std::vector{5, 6}, FlowPolicyConfig {sp, Admission::Lossy}); + if (stage != 0) { (void)p->place(3); if (stage == 1) p->remove(); } + return Staged {p, p.get()}; + }; + for (int operation = 0; operation < 4; ++operation) { + const auto call = [&](FlowPolicy& p) { + if (operation == 0) return p.place(7, all); + if (operation == 1) return p.replace(7, {}, all); + if (operation == 2) return p.evaluate(7, {}, all); + const Action action = Replace {p, 7}; + auto results = apply_actions(detail::PolicyAccess::engine(p).ledger, std::span(&action, 1), BatchMode::Simultaneous, all); + return std::move(results.front()); + }; + EXPECT_GT(sweep_placement(g, "static first/removed/live epoch", setup, call), 0); + } + } +} + +TEST(PolicyFaults, StaticPreparationBatchRollbackIncludesEveryPrivateOwner) { + const auto g = graph(); + const OutputOptions all {true, true, true, true, true}; + for (auto mode : {BatchMode::Ordered, BatchMode::Simultaneous}) for (bool warm : {false, true}) { + bool completed = false; + long failures = 0; + for (long at = 0; at < 1000 && !completed; ++at) { + FlowLedger ledger(g); + const FlowPolicyConfig cfg {ShortestPaths {}, Admission::Lossy}; + FlowPolicy a(ledger, std::vector{0}, std::vector{5}, cfg); + FlowPolicy b(ledger, std::vector{0, 1}, std::vector{5, 6}, cfg); + if (warm) { (void)a.place(2); (void)b.place(2); a.remove(); b.remove(); } + const auto before = ledger_state(ledger); + const auto a_before = epoch(a), b_before = epoch(b); + const std::vector actions {Replace {a, 7}, Replace {b, 5}}; + std::vector result; + if (fails_at(at, [&] { result = apply_actions(ledger, actions, mode, all); })) { + ++failures; + expect_same(ledger_state(ledger), before, "batch rollback ledger"); + expect_same(epoch(a), a_before, "batch rollback first owner"); + expect_same(epoch(b), b_before, "batch rollback second owner"); + EXPECT_EQ(detail::PolicyAccess::engine(a).kept_program.get(), a_before.kept_id); + EXPECT_EQ(detail::PolicyAccess::engine(b).kept_program.get(), b_before.kept_id); + result = apply_actions(ledger, actions, mode, all); + } else completed = true; + ASSERT_EQ(result.size(), 2U); + EXPECT_TRUE(detail::PolicyAccess::engine(a).kept_program); + EXPECT_TRUE(detail::PolicyAccess::engine(b).kept_program); + expect_balanced(ledger, "batch retry"); + if (::testing::Test::HasFailure()) break; + } + EXPECT_TRUE(completed); EXPECT_GT(failures, 0); + } +} diff --git a/tests/cpp/state_comparators.hpp b/tests/cpp/state_comparators.hpp index 9d7338b..e277178 100644 --- a/tests/cpp/state_comparators.hpp +++ b/tests/cpp/state_comparators.hpp @@ -110,6 +110,7 @@ struct ProgramSnapshot { std::vector> members; std::vector> weights; std::vector> roots; + std::vector structure; bool operator==(const ProgramSnapshot&) const = default; }; @@ -121,10 +122,44 @@ inline ProgramSnapshot program_snapshot(const ForwardingProgram* p) { s.destinations.assign(p->destinations().begin(), p->destinations().end()); s.tunnels.assign(p->tunnels().begin(), p->tunnels().end()); s.source_weights = p->source_weights(); - for (const auto& c : detail::ProgramAccess::data(*p).split_contexts) { + const auto& data = detail::ProgramAccess::data(*p); + auto scalar = [&](auto value) { s.structure.push_back(static_cast(value)); }; + auto array = [&](const auto& values) { + scalar(values.size()); + for (auto value : values) scalar(value); + }; + scalar(data.pools_source_inflows); + scalar(data.uses_topology_basis); + array(data.block()); + array(data.source_weight_values); + scalar(data.entries.size()); + for (const auto& e : data.entries) { + for (auto value : {e.entry_id, e.head, e.roster_index, e.local_index, e.tunnel_position, e.split_context_position}) scalar(value); + scalar(e.weight); + scalar(e.min_route_cost); + scalar(e.route != nullptr); + if (e.route) { + array(e.route->parent_offsets()); + array(e.route->parents()); + array(e.route->via_edges()); + } + } + for (const auto& c : data.split_contexts) { s.members.push_back(c.prepared_route->forwarding_edges); s.weights.push_back(c.prepared_route->weights); s.roots.emplace_back(c.prepared_route->sources.begin(), c.prepared_route->sources.end()); + const auto& plan = *c.prepared_route; + scalar(plan.allocation); + array(plan.support_edges); + array(plan.sources); + array(plan.source_positions); + array(plan.destinations); + array(plan.topological_order); + array(plan.outgoing_begin); + array(plan.outgoing_end); + array(plan.edge_destination_positions); + array(plan.is_destination); + array(c.source_entry_positions); } return s; } @@ -188,6 +223,8 @@ struct Epoch { std::vector source_drops_by_source; std::vector by_tunnel; std::vector> record_groups; + ProgramSnapshot kept_program; + const ForwardingProgram* kept_id {nullptr}; }; inline Epoch epoch(const FlowPolicy& p) { @@ -195,7 +232,7 @@ inline Epoch epoch(const FlowPolicy& p) { const auto& ep = pe.epoch; Epoch e {ep.requested, ep.offered, ep.infinite, ep.prepared, p.delivered(), ep.marginal_cost_curve, ep.program.get(), program_snapshot(ep.program.get()), ep.plan ? std::optional(*ep.plan) : std::nullopt, ep.support, - ep.source_drops_by_source, ep.by_tunnel, {}}; + ep.source_drops_by_source, ep.by_tunnel, {}, program_snapshot(pe.kept_program.get()), pe.kept_program.get()}; for (const auto& c : ep.record_groups) { auto& out = e.record_groups.emplace_back(); for (const auto& f : c) out.push_back({f.record_counter, f.min_route_cost, f.route ? ascending_edges(*f.route) : std::vector {}, f.entry_id}); @@ -216,6 +253,7 @@ inline void expect_same(const Epoch& a, const Epoch& b, const std::string& where EXPECT_EQ(a.source_drops_by_source, b.source_drops_by_source) << where; EXPECT_TRUE(a.by_tunnel == b.by_tunnel) << where; EXPECT_TRUE(a.record_groups == b.record_groups) << where; + EXPECT_TRUE(a.kept_program == b.kept_program) << where; } // The same state on the same policy: also the same program object (a failed call installs none). diff --git a/tests/py/removed_names_reviewed.txt b/tests/py/removed_names_reviewed.txt index db1f7f9..bf41a91 100644 --- a/tests/py/removed_names_reviewed.txt +++ b/tests/py/removed_names_reviewed.txt @@ -663,3 +663,7 @@ tests/cpp/joint_forwarding_tests.cpp | g | ledger of g. | the local or parameter tests/cpp/program_tests.cpp | Tunnels | black holes on rows 2, 6 and 17. Tunnels 0 and 3 | a model's tunnels (ForwardingProgram.tunnels is the current name) tests/py/test_apply_actions.py | g | alike). g: the first copy's graph | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) tests/py/test_programs.py | Tunnels | on rows 2, 6 and 17. Tunnels 0 and 3 reach a black hole | a model's tunnels (ForwardingProgram.tunnels is the current name) + +docs/semantics.md | weights | `FEWER_HOPS` or `HIGHER_CAPACITY` and `EQUAL`, `CAPACITY` or `EXPLICIT` weights, a preparation | member weight values and immutable preparation +README.md | weights | `HIGHER_CAPACITY` and static weights keeps its immutable preparation across epochs, with results | immutable member weight values, not a removed API name +include/netgraph/core/flow_policy.hpp | weights | path), fixed for an epoch. With FewerHops or HigherCapacity and static weights the policy | immutable member weights of a ShortestPaths policy diff --git a/tests/py/test_concurrency.py b/tests/py/test_concurrency.py index 2ec31ca..c3cdaa6 100644 --- a/tests/py/test_concurrency.py +++ b/tests/py/test_concurrency.py @@ -796,11 +796,13 @@ def test_failure_does_not_strand_waiters(): for operation in (lambda: p.place(3), lambda: p.replace(3), lambda: p.forward(3), lambda: ngc.apply_actions(ledger, [ngc.Replace(p, 3)])): p.replace(1) - before = (ledger.carried().tolist(), p.program, [r.flow_id for r in p.records()]) + before = (ledger.carried().tolist(), p.place(0), [r.flow_id for r in p.records()]) failure = Probe(fail='before_publication') with pytest.raises(RuntimeError, match='injected native failure'): failure.run(operation) - assert ledger.carried().tolist() == before[0] and p.program is before[1] + assert ledger.carried().tolist() == before[0] + after = p.place(0) + assert (after.requested, after.admitted, after.delivered) == (before[1].requested, before[1].admitted, before[1].delivered) assert [r.flow_id for r in p.records()] == before[2] assert p.replace(2).delivered == 2 """) diff --git a/tests/py/test_epoch_static.py b/tests/py/test_epoch_static.py new file mode 100644 index 0000000..8d498e2 --- /dev/null +++ b/tests/py/test_epoch_static.py @@ -0,0 +1,160 @@ +"""Static epoch preparation is reused as a value, without retaining mutable epochs.""" + +import itertools + +import numpy as np +import pytest +from helpers import ALL_OUT, build, dag_of, plain +from private_hooks import needs_hooks + +import netgraph_core as ngc + + +def cases(): + for pooled, allocation, tie, multipath, parallel, lossy in itertools.product( + (False, True), + ("equal", "capacity", "explicit"), + ("FEWER_HOPS", "HIGHER_CAPACITY"), + (False, True), + (False, True), + (False, True), + ): + if tie == "HIGHER_CAPACITY" and ( + (multipath and parallel) or (pooled and not multipath) + ): + continue + yield pooled, allocation, tie, multipath, parallel, lossy + + +def fixture(pooled, allocation, tie, multipath, parallel, lossy): + g = build( + 6, + [ + (0, 2, 20, 1), + (1, 2, 20, 1), + (2, 3, 4, 1), + (2, 3, 10, 1), + (2, 4, 20, 1), + (3, 5, 20, 1), + (4, 5, 20, 1), + ], + ) + kw = dict( + tie_break=getattr(ngc.RouteTieBreak, tie), + multipath=multipath, + parallel_edges=parallel, + ) + if allocation != "equal": + kw.update(allocation=ngc.RouteAllocation.WEIGHTED) + if allocation == "capacity": + kw.update(weight_basis=ngc.WeightBasis.CAPACITY) + else: + kw.update( + weight_basis=ngc.WeightBasis.EXPLICIT, + edge_weights=np.arange(7, dtype=np.int64) % 3, + ) + cfg = ngc.FlowPolicyConfig( + routing=ngc.ShortestPaths(**kw), + admission=ngc.Admission.LOSSY if lossy else ngc.Admission.LOSSLESS, + ) + ledger = ngc.FlowLedger(g) + p = ngc.FlowPolicy(ledger, [0, 1] if pooled else [0], 5, cfg) + return g, ledger, p + + +@pytest.mark.parametrize("case", list(cases())) +def test_static_identity_all_preparation_points_and_unchanged_values(case): + g, ledger, p = fixture(*case) + assert p.evaluate(0).program is not None + assert p.program is None and not p.records() + assert p.place(0).program is None + first = p.place(6, ALL_OUT) + before_ids = [r.flow_id for r in p.records()] + assert p.evaluate(6, outputs=ALL_OUT).program is first.program + assert [r.flow_id for r in p.records()] == before_ids + p.remove() + assert p.program is None + assert p.place(0).program is None + with pytest.raises(ValueError, match="forward requires an installed program"): + p.forward(1) + second = p.place(6, ALL_OUT) + assert second.program is first.program + assert plain(second) == plain(first) + assert all(r.flow_id[1] > before_ids[-1][1] for r in p.records()) + replaced = p.replace(6, outputs=ALL_OUT) + assert replaced.program is first.program + assert not replaced.routes_changed and not replaced.weights_changed + p.remove() + ordered = ngc.apply_actions(ledger, [ngc.Place(p, 6)], outputs=ALL_OUT)[0] + assert ordered.program is first.program and plain(ordered) == plain(first) + ordered = ngc.apply_actions(ledger, [ngc.Replace(p, 6)], outputs=ALL_OUT)[0] + assert ordered.program is first.program and plain(ordered) == plain(replaced) + if case[-1]: + simultaneous = ngc.apply_actions( + ledger, + [ngc.Replace(p, 6)], + mode=ngc.BatchMode.SIMULTANEOUS, + outputs=ALL_OUT, + )[0] + assert simultaneous.program is first.program + assert plain(simultaneous) == plain(replaced) + del g # policy and ledger keep the graph owner + p.remove() + assert ledger.records() == [] + + +@pytest.mark.parametrize("mode", ("available", "headroom", "snapshot", "optimized")) +def test_excluded_preparation_is_new_and_reads_changed_residual(mode): + g = build(2, [(0, 1, 10, 1), (0, 1, 20 if mode == "headroom" else 10, 1)]) + kw = {} + if mode in ("available", "headroom"): + kw.update( + parallel_edges=False, + tie_break=getattr( + ngc.RouteTieBreak, + "HIGHER_AVAILABLE_CAPACITY" + if mode == "available" + else "HIGHER_HEADROOM", + ), + ) + elif mode == "snapshot": + kw.update( + allocation=ngc.RouteAllocation.WEIGHTED, + weight_basis=ngc.WeightBasis.RESIDUAL_SNAPSHOT, + ) + else: + kw.update(allocation=ngc.RouteAllocation.OPTIMIZED) + ledger = ngc.FlowLedger(g) + p = ngc.FlowPolicy( + ledger, 0, 1, ngc.FlowPolicyConfig(routing=ngc.ShortestPaths(**kw)) + ) + first = p.place(2) + program = ngc.ForwardingProgram.from_routes( + g, [0], [1], [ngc.RouteDefinition(0, dag_of(g, [0]))] + ) + other = ngc.FlowPolicy( + ledger, 0, 1, ngc.FlowPolicyConfig(routing=ngc.Pinned(program)) + ) + other.place(1 if mode == "headroom" else 8) + second = p.replace(1 if mode in ("available", "headroom") else 12) + assert second.program is not first.program + if mode in ("available", "headroom"): + assert list(p.records()[0].route.via_edges()) == [1] + else: + assert second.delivered == 12 + p.remove() + assert p.place(1).program is not first.program + + +@needs_hooks +@pytest.mark.parametrize("pooled", (False, True)) +def test_reused_prepare_trace_is_non_null_and_equal_to_fresh(pooled): + _, _, p = fixture(pooled, "equal", "FEWER_HOPS", True, True, False) + first, trace = p._place_traced(3, ALL_OUT) + p.remove() + second, repeated = p._place_traced(3, ALL_OUT) + assert second.program is first.program + assert plain(trace)["prepare"] is not None + assert plain(trace)["prepare"] == plain(repeated)["prepare"] + _, increment = p._place_traced(1, ALL_OUT) + assert plain(increment)["prepare"] is None From 807df2d54e5db870bf4a8afdb01b0b12e82f0df7 Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Thu, 22 Oct 2026 16:45:35 +0100 Subject: [PATCH 29/39] CentralizedTE: sources in proportion to given weights CentralizedTE without tunnels gains SourceAllocation.WEIGHTED with an explicit source_weights vector. At every total the sources inject exactly their highest-averages shares of that total; the controller carries the largest total it can at those shares, then the cheapest flow. The program keeps the declared weights, so a replay at another offer keeps the same proportions. NetGraph's controller uses it to share a destination among sources in proportion to their demands. EQUAL and OPTIMIZED results do not change. Co-Authored-By: Claude Opus 5.5 --- CHANGELOG.md | 15 +- CMakeLists.txt | 1 + README.md | 12 +- bindings/python/evaluators.cpp | 4 +- bindings/python/forwarding_program.cpp | 4 +- bindings/python/options.cpp | 6 +- bindings/python/placement_result.cpp | 8 +- bindings/python/routing_models.cpp | 42 +- dev/perf/README.md | 11 + dev/perf/aba_api.hpp | 53 + dev/perf/aba_rows.hpp | 17 + dev/perf/test_tool.py | 51 +- dev/pytest_guard.py | 2 + dev/stubs/check_clients.py | 1 + dev/stubs/overrides.pyi | 11 +- docs/semantics.md | 57 +- include/netgraph/core/detail/enum_domain.hpp | 3 +- include/netgraph/core/detail/forwarding.hpp | 3 + include/netgraph/core/detail/int128.hpp | 33 +- .../netgraph/core/detail/policy_engine.hpp | 4 +- include/netgraph/core/detail/program_data.hpp | 4 +- .../netgraph/core/detail/route_kernels.hpp | 5 + include/netgraph/core/flow_policy.hpp | 18 +- include/netgraph/core/forwarding_program.hpp | 5 +- include/netgraph/core/options.hpp | 3 +- python/netgraph_core/__init__.pyi | 44 +- src/evaluators.cpp | 4 +- src/flow_policy.cpp | 65 +- src/forwarding.cpp | 26 +- src/route_kernels.cpp | 62 +- tests/cpp/apply_actions_fault_tests.cpp | 23 + tests/cpp/concurrency_tests.cpp | 21 + tests/cpp/flow_policy_fault_tests.cpp | 69 + tests/cpp/flow_policy_tests.cpp | 2 +- tests/cpp/public_names_tests.cpp | 2 +- tests/cpp/weighted_source_tests.cpp | 534 ++++++ tests/data/weighted_sources.json | 1519 +++++++++++++++++ tests/py/contract_api.py | 8 +- tests/py/removed_names_reviewed.txt | 20 +- tests/py/test_concurrency.py | 6 +- tests/py/test_flow_policy.py | 9 +- tests/py/test_getter_allocation.py | 4 + tests/py/test_integer_array_allocation.py | 11 + tests/py/test_public_surface.py | 2 +- tests/py/test_route_structures.py | 2 +- tests/py/test_weighted_sources.py | 830 +++++++++ tests/typing/invalid_client.py | 5 + tests/typing/valid_client.py | 10 + 48 files changed, 3527 insertions(+), 124 deletions(-) create mode 100644 tests/cpp/weighted_source_tests.cpp create mode 100644 tests/data/weighted_sources.json create mode 100644 tests/py/test_weighted_sources.py diff --git a/CHANGELOG.md b/CHANGELOG.md index 10551d9..a8adc71 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -13,6 +13,12 @@ API. ### Added +- `SourceAllocation.WEIGHTED` for CentralizedTE without tunnels, with immutable node-indexed + `source_weights`. The controller maximizes delivery at exact highest-averages source shares, + then minimizes cost; saved programs retain declared weights for replay. All-zero roster + weights produce NO_ACTIVE_WEIGHT; Pinned replay retains its existing termination rules. + Existing source-allocation results are unchanged. + - **Several demands at once**: `apply_actions(ledger, actions, *, mode=BatchMode.ORDERED, outputs=None)` runs `Place(policy, offer)`, `Replace(policy, offer, *, design_demand=None)` and `Forward(policy, offer, *, black_holes=None)` actions of several policies of one ledger as one @@ -132,12 +138,13 @@ API. edge_weights=None, tie_break=FEWER_HOPS, multipath=True, parallel_edges=True)` (ECMP by default; `WEIGHTED` is WCMP; `OPTIMIZED` a controller restricted to the shortest routes), `DistributedTE(tunnel_count, *, cost_ceiling=None, min_unreserved_bandwidth=0, - tie_break=FEWER_HOPS, parallel_edges=True)` (T1), `CentralizedTE(*, source_allocation, + tie_break=FEWER_HOPS, parallel_edges=True)` (T1), `CentralizedTE(*, source_allocation, source_weights=None, support=None, tunnel_count=None, prefer_headroom=False)` (the source allocation is required; with `tunnel_count`, T2) and `Pinned(program, *, black_holes=None)`; `TunnelCount(per_head, *, - up_to=False)`. `SourceAllocation` (`EQUAL`, `OPTIMIZED`) says how a demand's total enters at its - sources. Every configuration value is immutable (read-only fields; a model's `edge_weights` is - one shared array) and validated in two stages: construction raises `TypeError` for an unknown + up_to=False)`. `SourceAllocation` (`EQUAL`, `WEIGHTED`, `OPTIMIZED`) says how a demand's total enters at its + sources; `WEIGHTED` requires explicit `source_weights` and CentralizedTE without `tunnel_count`. + Every configuration value is immutable (read-only fields; a model's `edge_weights` and + `source_weights` are shared arrays) and validated in two stages: construction raises `TypeError` for an unknown keyword (every field of another model included), a missing required argument, `None` where none is allowed, a bool field given anything but a `bool` or `numpy.bool_`, and an integer field given a non-integer (`TunnelCount per_head must be an integer (got bool)`); a policy or an diff --git a/CMakeLists.txt b/CMakeLists.txt index 6dc7d9e..f67c589 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -164,6 +164,7 @@ if(NETGRAPH_CORE_BUILD_TESTS) tests/cpp/flow_policy_fixture_tests.cpp tests/cpp/flow_policy_tests.cpp tests/cpp/epoch_static_tests.cpp + tests/cpp/weighted_source_tests.cpp tests/cpp/zero_capacity_tests.cpp tests/cpp/pooled_source_allocation_tests.cpp tests/cpp/program_tests.cpp diff --git a/README.md b/README.md index 7ccbe57..8b6a037 100644 --- a/README.md +++ b/README.md @@ -94,7 +94,8 @@ specified in [docs/semantics.md](docs/semantics.md). placement engine for one demand, bound to its ledger. `FlowPolicyConfig(*, routing, admission=LOSSLESS)` holds the routing model and the admission; every other option belongs to the model that reads it. A model's source allocation is `EQUAL` (every source sends the same - round-robin share) or `OPTIMIZED` (a controller chooses how much enters where). The routing is + round-robin share), `OPTIMIZED` (a controller chooses how much enters where), or `WEIGHTED` + (CentralizedTE without tunnels prescribes highest-averages shares of declared source weights). The routing is one of: - `ShortestPaths(*, allocation=EQUAL, source_allocation=None, weight_basis=None, edge_weights=None, tie_break=FEWER_HOPS, multipath=True, parallel_edges=True)`: static @@ -110,10 +111,15 @@ specified in [docs/semantics.md](docs/semantics.md). and either comes up holding its request on every link or stays down (`INSUFFICIENT_BANDWIDTH`, `COST_CEILING_EXCEEDED`); traffic then enters equally at the heads and splits equally over their up tunnels; - - `CentralizedTE(*, source_allocation, support=None, tunnel_count=None, prefer_headroom=False)`: + - `CentralizedTE(*, source_allocation, source_weights=None, support=None, tunnel_count=None, prefer_headroom=False)`: without a tunnel count, an ideal controller: the minimum-cost flow from all the policy's sources to its destinations, on the free capacity plus its own allocation, optionally only - over the edges of a support DAG. With `tunnel_count=TunnelCount(N)` (T2), a central controller + over the edges of a support DAG. `source_allocation=WEIGHTED` requires `source_weights`, + one integer per graph node in `[0, 2^62)`; every source must inject its highest-averages share + at the maximum total, then cost is minimized. Its program retains the declared weights for + replay at another offer. WEIGHTED is refused with tunnels and in ShortestPaths; all-zero + roster weights deliver nothing and end NO_ACTIVE_WEIGHT on a positive live call. + With `tunnel_count=TunnelCount(N)` (T2), a central controller (as a PCE) lays out, for every head that reaches a destination over free capacity, N single-path tunnels with one common whole-unit planned bandwidth: as large as possible, then (for a finite design) no larger than needed, then the cheapest routes, then with diff --git a/bindings/python/evaluators.cpp b/bindings/python/evaluators.cpp index a651e79..92593a9 100644 --- a/bindings/python/evaluators.cpp +++ b/bindings/python/evaluators.cpp @@ -135,7 +135,9 @@ void register_evaluators(py::module_& m) { "(ShortestPaths EQUAL/WEIGHTED LOSSY without an offer: the first-hop experiment). The options are checked as\n" "the EvaluationOptions docstring states.\n" "The exact maximum flow is CentralizedTE(source_allocation=OPTIMIZED); with source_allocation=EQUAL, the largest\n" - "total whose round-robin source shares are all carried. A supplied frozen cache raises ShortestPathCacheMiss\n" + "total whose round-robin source shares are all carried; with WEIGHTED (CentralizedTE without tunnel_count),\n" + "the largest total whose highest-averages shares of source_weights are all carried.\n" + "A supplied frozen cache raises ShortestPathCacheMiss\n" "for an absent key, unchanged.\n" "A failed call raises; a supplied ShortestPathCache then behaves as the ShortestPathCache docstring states."); diff --git a/bindings/python/forwarding_program.cpp b/bindings/python/forwarding_program.cpp index b4cf71a..f92aea7 100644 --- a/bindings/python/forwarding_program.cpp +++ b/bindings/python/forwarding_program.cpp @@ -138,8 +138,8 @@ void register_program(py::module_& m) { m, "ForwardingProgram", "An immutable value: one demand's routes and integer weights. sources and destinations (the normalized\n" "sets); tunnels: the path entries in ascending index (split routes are not listed); source_weights: the\n" - "captured source supplies ((source, weight) for every roster source, ascending) of the optimized\n" - "controllers, None for equal sources (round robin over the roster). Each head splits its share by\n" + "captured weights ((source, weight) for every roster source, ascending): optimized controllers' solved\n" + "supplies, weighted CentralizedTE's declared weights, or None for equal sources (round robin). Each head splits its share by\n" "highest averages over its entries' weights; identical routes are never merged. ShortestPaths and CentralizedTE\n" "produce one (FlowPolicy.program, PlacementResult.program), and so do T1 and T2 (their tunnels);\n" "from_routes builds one from given routes; Pinned forwards one. No public constructor.") diff --git a/bindings/python/options.cpp b/bindings/python/options.cpp index 32845a4..4222bf9 100644 --- a/bindings/python/options.cpp +++ b/bindings/python/options.cpp @@ -38,9 +38,11 @@ void register_options(py::module_& m) { "How a demand's traffic enters at its sources, separately from how it is routed. EQUAL: round\n" "robin over the roster (ascending NodeId, the first sources one unit more); a source whose share\n" "cannot go anywhere keeps it and loses it (LOSSLESS then admits only totals that give it\n" - "nothing). OPTIMIZED: the controller chooses the injections (one virtual source).") + "nothing). OPTIMIZED: the controller chooses the injections (one virtual source). WEIGHTED:\n" + "CentralizedTE without tunnels prescribes highest-averages shares of declared source_weights.") .value("EQUAL", SourceAllocation::Equal) - .value("OPTIMIZED", SourceAllocation::Optimized); + .value("OPTIMIZED", SourceAllocation::Optimized) + .value("WEIGHTED", SourceAllocation::Weighted); py::enum_(m, "WeightBasis", "Where WEIGHTED member weights come from (ShortestPaths WEIGHTED and supplied PredecessorDAG routes).\n" diff --git a/bindings/python/placement_result.cpp b/bindings/python/placement_result.cpp index 0124923..e760bf2 100644 --- a/bindings/python/placement_result.cpp +++ b/bindings/python/placement_result.cpp @@ -58,7 +58,9 @@ void register_placement_result(py::module_& m) { "NO_ACTIVE_WEIGHT when the program has an entry with a path (an up tunnel, a controller path or\n" "a split route) but no head can use one (no positive weight: WEIGHTED over edges of capacity 0\n" "only, routes of weight 0, every up tunnel failed); a program whose tunnels are all down is not\n" - "this case; a LOSSY finite request: COMPLETE (delivery and losses account for the whole offer,\n" + "this case. A live CentralizedTE WEIGHTED call without tunnel_count with a positive offer\n" + "and a nonempty all-zero source-weight roster is also NO_ACTIVE_WEIGHT, with no tunnels;\n" + "Pinned replay of that empty program follows the remaining rules. A LOSSY finite request: COMPLETE (delivery and losses account for the whole offer,\n" "which does not mean nothing was lost); otherwise COMPLETE when the whole request was delivered,\n" "else EXHAUSTED (an infinite request is EXHAUSTED). A controller whose maximum is 0 over existing\n" "routes is EXHAUSTED, not NO_ROUTE.") @@ -284,7 +286,7 @@ void register_placement_result(py::module_& m) { "cumulative flow (a zero call reports it unchanged; None before the epoch's first positive\n" "call); in ascending cost, delivering `units` more raised the minimum total flow cost by `cost`\n" "per unit (more delivery can reroute earlier flow, so these are not the costs of the final\n" - "paths). None for the other models and the equal source allocation") + "paths). None for the other models and prescribed (EQUAL or WEIGHTED) sources") .def_property_readonly( "edge_flows", @@ -326,7 +328,7 @@ void register_placement_result(py::module_& m) { "reached the maximum flow: the minimum cut closest to the sources, every allowed edge leaving\n" "the nodes the roster sources reach in the residual network (free capacity plus the policy's\n" "own allocation), an edge with nothing free (capacity 0, or held by others) included,\n" - "ascending EdgeId; [] for an empty roster. None otherwise (another model, the equal source allocation, a\n" + "ascending EdgeId; [] for an empty roster. None otherwise (another model, prescribed EQUAL or WEIGHTED sources, a\n" "support, a call below the maximum, a zero call, forward)") .def("__repr__", [](const PlacementResult& r) { return "PlacementResult(call_delivered=" + std::to_string(r.call_delivered) + ", termination=" + diff --git a/bindings/python/routing_models.cpp b/bindings/python/routing_models.cpp index e203076..c42e01c 100644 --- a/bindings/python/routing_models.cpp +++ b/bindings/python/routing_models.cpp @@ -55,6 +55,7 @@ const char* source_allocation_repr(SourceAllocation a) { switch (a) { case SourceAllocation::Equal: return "SourceAllocation.EQUAL"; case SourceAllocation::Optimized: return "SourceAllocation.OPTIMIZED"; + case SourceAllocation::Weighted: return "SourceAllocation.WEIGHTED"; } return "SourceAllocation(?)"; } @@ -67,15 +68,15 @@ const char* weight_basis_repr(WeightBasis b) { return "WeightBasis(?)"; } -// Explicit WCMP weights, one integer per edge, converted once and shared by every policy built from -// the model: a length or type defect raises here; an entry beyond int64 is outside the domain -// (ValueError); the policy checks the length against its graph and the range [0, 2^62). -std::shared_ptr> edge_weights_of(const py::object& edge_weights) { - if (edge_weights.is_none()) return {}; - (void)sequence_length(edge_weights, "edge_weights"); - const auto w = wide_integers(edge_weights, "edge_weights"); +// Explicit edge or source weights, converted once and shared by policies built from the model. +// Scan all shape defects, then integer types, then int64 storage overflow (ValueError). +// The policy checks graph-sized length and the range [0, 2^62); only the diagnostic name differs. +std::shared_ptr> weights_of(const py::object& weights, const char* name) { + if (weights.is_none()) return {}; + (void)sequence_length(weights, name); + const auto w = wide_integers(weights, name); for (std::size_t e = 0; e < w.size(); ++e) { - if (w.sign(e) != 0) throw py::value_error("edge_weights[" + std::to_string(e) + "] must be an integer in [0, 2^62)"); + if (w.sign(e) != 0) throw py::value_error(std::string(name) + "[" + std::to_string(e) + "] must be an integer in [0, 2^62)"); } return std::make_shared>(w.narrow()); } @@ -202,7 +203,7 @@ void register_routing(py::module_& m) { sp.allocation = allocation; sp.source_allocation = source_allocation; sp.weight_basis = weight_basis; - sp.edge_weights = edge_weights_of(edge_weights); + sp.edge_weights = weights_of(edge_weights, "edge_weights"); sp.tie_break = tie_break; sp.multipath = multipath; sp.parallel_edges = parallel_edges; @@ -319,7 +320,10 @@ void register_routing(py::module_& m) { "carries nothing), on the free capacity plus its own allocation (it may move its own traffic,\n" "never another's). It takes no route choice. Its source_allocation is required: OPTIMIZED, the\n" "controller chooses how much enters at each source; EQUAL: every roster source sends its\n" - "round-robin share of the largest total whose shares all fit. Its program is the solve cut into\n" + "round-robin share of the largest total whose shares all fit; WEIGHTED: highest-averages shares\n" + "of declared source_weights, only without tunnels. Zero weights receive nothing; all-zero\n" + "roster weights end NO_ACTIVE_WEIGHT on a positive live call. The program saves declared weights\n" + "for weighted sources, solved supplies for optimized sources. Its program is the solve cut into\n" "paths per source, each a tunnel weighted by its amount. A positive call on a network beyond the\n" "flow core's int32 numbering raises ValueError (see FlowPolicy.place).\n" "T2, CentralizedTE(source_allocation=..., tunnel_count=TunnelCount(N)) (no route choice either; with\n" @@ -333,9 +337,10 @@ void register_routing(py::module_& m) { "live-share score, then the smallest count); no promise of whole-demand lossless delivery.\n" "Traffic splits equally over the heads and over each head's tunnels; planned bandwidth is never\n" "held.") - .def(py::init([](SourceAllocation source_allocation, const py::object& support, const py::object& tunnels, + .def(py::init([](SourceAllocation source_allocation, const py::object& source_weights, const py::object& support, const py::object& tunnels, StrictBool prefer_headroom) { CentralizedTE gl(source_allocation); + gl.source_weights = weights_of(source_weights, "source_weights"); gl.prefer_headroom = prefer_headroom; if (!support.is_none()) { if (!py::isinstance(support)) throw py::type_error("CentralizedTE support must be a PredecessorDAG or None"); @@ -347,16 +352,22 @@ void register_routing(py::module_& m) { } return gl; }), - py::kw_only(), py::arg("source_allocation"), py::arg("support") = py::none(), + py::kw_only(), py::arg("source_allocation"), py::arg("source_weights") = py::none(), py::arg("support") = py::none(), py::arg("tunnel_count") = py::none(), py::arg("prefer_headroom") = StrictBool {false}, - "CentralizedTE(*, source_allocation, support=None, tunnel_count=None, prefer_headroom=False):\n" - "source_allocation is required (EQUAL or OPTIMIZED; None or a missing argument raises TypeError);\n" + "CentralizedTE(*, source_allocation, source_weights=None, support=None, tunnel_count=None, prefer_headroom=False):\n" + "source_allocation is required (EQUAL, OPTIMIZED or WEIGHTED; None or a missing argument raises TypeError).\n" + "WEIGHTED requires source_weights and no tunnel_count: one integer per graph node in [0, 2^62),\n" + "copied once and exposed as an immutable tuple. Other source allocations refuse source_weights.\n" "support a PredecessorDAG of the policy's graph (checked when a policy is built with it: `support\n" "belongs to another graph`) or None for every eligible edge; tunnel_count a TunnelCount (T2;\n" "the count in [1, 10000] is checked when a policy is built with it) or None; prefer_headroom (T2\n" "only; True without tunnel_count raises `prefer_headroom requires tunnel_count` when a policy is\n" "built with it): the headroom penalty as T2's objective after route cost") - .def_property_readonly("source_allocation", field_object(&CentralizedTE::source_allocation), "the SourceAllocation: EQUAL or OPTIMIZED") + .def_property_readonly("source_allocation", field_object(&CentralizedTE::source_allocation), "the SourceAllocation: EQUAL, OPTIMIZED or WEIGHTED") + .def_property_readonly("source_weights", [](const CentralizedTE& gl) -> py::object { + if (!gl.source_weights) return py::none(); + return amounts_tuple(*gl.source_weights); + }, "declared node-indexed source weights as an immutable tuple, or None") .def_property_readonly( "support", [](const CentralizedTE& gl) { @@ -373,6 +384,7 @@ void register_routing(py::module_& m) { std::string out; const auto add = [&](const std::string& part) { out += (out.empty() ? "" : ", ") + part; }; add("source_allocation=" + std::string(source_allocation_repr(gl.source_allocation))); + if (gl.source_weights) add("source_weights=..."); if (gl.support) add("support=..."); if (gl.tunnel_count.has_value()) { add("tunnel_count=TunnelCount(" + std::to_string(gl.tunnel_count->per_head) + (gl.tunnel_count->up_to ? ", up_to=True)" : ")")); diff --git a/dev/perf/README.md b/dev/perf/README.md index 9ae2ae2..ec79894 100644 --- a/dev/perf/README.md +++ b/dev/perf/README.md @@ -414,3 +414,14 @@ nothing. They test the rules of this file: The `sens.exact`, cut/repair population and `sens.policy_all_edges` rows also have `.w2` counterparts: the identical full query on two workers. Unsuffixed rows use one worker. + +### Captured source weights + +`program.increment.optimized` includes controller computation/export, a Pinned LOSSY policy, +32 positive `place` calls and teardown. It reaches cumulative captured-weight injection and is +a common baseline/candidate regression row. `program.increment.weighted` exercises declared +unequal weights; `.wide` uses five weights `2^62-1` and crosses 64-bit cumulative totals. +`program.replay.weighted` is the separate full-offer `replace` control. `global.weighted.random` +and `sens.weighted_global` cover weighted-source optimization and fresh deletion solves. +The new model rows have no pre-feature baseline; run them separately. Tool correctness checks +all source quotas and complete row digests against independent ordinary/wide histories. diff --git a/dev/perf/aba_api.hpp b/dev/perf/aba_api.hpp index 5e22201..3170593 100644 --- a/dev/perf/aba_api.hpp +++ b/dev/perf/aba_api.hpp @@ -777,6 +777,59 @@ inline std::uint64_t edge_failures_equal_global(const Graph& g, const std::vecto return fold_edge_failures(nc::evaluate_edge_failures(g.ref(), sv, tv, nc::EvaluationOptions {global_equal_config()}, 1)); } +// Keep the historical-build adapter compilable against a Core preceding declared +// source weights. New weighted rows are run only on builds that implement them; +// the common optimized-increment row executes exactly the same work on both. +template +inline nc::FlowPolicyConfig captured_config(const std::vector& weights, bool weighted) { + Model model(nc::SourceAllocation::Optimized); + if (weighted) { + if constexpr (requires(Model m) { m.source_weights; }) { + using Allocation = decltype(model.source_allocation); + model.source_allocation = Allocation::Weighted; + model.source_weights = std::make_shared>(weights); + } else { + throw std::invalid_argument("this Core does not implement weighted source allocation"); + } + } + return nc::FlowPolicyConfig{std::move(model)}; +} + +inline std::uint64_t global_weighted_capacity(const Graph& g, const std::vector& srcs, int dst, bool failures) { + const std::vector sv(srcs.begin(),srcs.end()); + const nc::NodeId tv[1]={dst}; + std::vector weights(static_cast(g.ref().num_nodes()),0); + for(std::size_t i=0;i(sv[i])]=static_cast(i+1); + const nc::EvaluationOptions options{captured_config(weights,true),nullptr,nullptr,{true,true,true,true,true}}; + if(failures)return fold_edge_failures(nc::evaluate_edge_failures(g.ref(),sv,tv,options,1)); + Digest d;add_rows(d,nc::evaluate_demand(g.ref(),sv,tv,options));return d.h; +} + +inline std::shared_ptr captured_graph() { + return std::make_shared(6,std::vector{0,1,2,3,4},std::vector(5,5), + std::vector(5,10),std::vector(5,1),1.0); +} + +// A complete lifetime: controller computation/export, Pinned LOSSY construction, +// 32 calls, result materialization and teardown. Incremental calls enter +// source_offer_increments; replace calls are a distinct full-offer control. +inline std::uint64_t captured_series(const std::shared_ptr& g,int mode,bool incremental) { + const bool weighted=mode!=0,wide=mode==2; + const nc::Amount m=nc::kDomainLimit-1; + const std::vector weights=wide ? std::vector{m,m,m,m,m,0} : std::vector{2,1,3,1,2,0}; + const std::vector sv{0,1,2,3,4},tv{5}; + const auto program=nc::evaluate_demand(*g,sv,tv,nc::EvaluationOptions{captured_config(weights,weighted)}).program; + nc::FlowLedger ledger(g); + nc::FlowPolicy p(ledger,sv,tv,nc::FlowPolicyConfig{nc::Pinned{program},nc::Admission::Lossy}); + Digest d; + for(int i=0;i<32;++i) { + const nc::Amount offer=wide && i<4 ? m : wide && i==4 ? 5 : 17; + const auto r=incremental ? p.place(offer) : p.replace(offer); + add_rows(d,r); + } + return d.h; +} + // T1: one DistributedTE(TunnelCount(tunnels)) policy per pair on one shared ledger, Lossless, each head // setting up its tunnels by CSPF on the unreserved view (the earlier pairs' holds count). struct T1Fabric { diff --git a/dev/perf/aba_rows.hpp b/dev/perf/aba_rows.hpp index 13c0cca..750226f 100644 --- a/dev/perf/aba_rows.hpp +++ b/dev/perf/aba_rows.hpp @@ -1068,6 +1068,23 @@ inline std::vector rows() { const std::vector srcs = {1, 17, 33}; return Iter([g, srcs] { return abaapi::edge_failures_equal_global(*g, srcs, 50); }); }}); + r.push_back({"global.weighted.random", "global", + "weighted-source evaluate_demand, random 1024x6 seed23, four NodeId weights1..4; complete solve lifetime", + [] { auto g=std::make_shared(abaapi::build(gen_random(1024,6,23))); + return Iter([g]{return abaapi::global_weighted_capacity(*g,{1,257,513,769},600,false);}); }}); + r.push_back({"sens.weighted_global", "sensitivity", + "weighted-source evaluate_edge_failures, random64x4 seed24, three source weights1..3; every allowed deletion", + [] { auto g=std::make_shared(abaapi::build(gen_random(64,4,24))); + return Iter([g]{return abaapi::global_weighted_capacity(*g,{1,17,33},50,true);}); }}); + for(int mode:{0,1,2}) { + const std::string name=mode==0 ? "program.increment.optimized" : mode==1 ? "program.increment.weighted" : "program.increment.weighted.wide"; + r.push_back({name,"program", + "controller export and Pinned LOSSY lifetime, five cap10 heads, 32 positive place calls; captured source increments", + [mode] { auto g=abaapi::captured_graph();return Iter([g,mode]{return abaapi::captured_series(g,mode,true);}); }}); + } + r.push_back({"program.replay.weighted","program", + "weighted controller export and Pinned LOSSY lifetime, five cap10 heads, 32 full-offer replace calls", + [] { auto g=abaapi::captured_graph();return Iter([g]{return abaapi::captured_series(g,1,false);}); }}); // ---- forwarding programs: no older Core has them; they guard later changes. // One demand of eight source leaves to one leaf on a Clos 32x16 (links of 10..80): its optimized // CentralizedTE program (paths with solved amounts, captured source weights), solved for 2,000. diff --git a/dev/perf/test_tool.py b/dev/perf/test_tool.py index e5cb092..4b35f45 100644 --- a/dev/perf/test_tool.py +++ b/dev/perf/test_tool.py @@ -3085,7 +3085,44 @@ def test_no_sdk(self): } } // namespace +int test_captured_sources() { + auto network=abaapi::captured_graph(); + for(int mode:{0,1,2})for(bool incremental:{false,true}) { + const auto m=netgraph::core::kDomainLimit-1; + std::vector weights=mode==2 ? std::vector{m,m,m,m,m,0} : std::vector{2,1,3,1,2,0}; + const std::vector heads{0,1,2,3,4},destinations{5}; + auto saved=netgraph::core::evaluate_demand(*network,heads,destinations,netgraph::core::EvaluationOptions{abaapi::captured_config(weights,mode!=0)}).program; + netgraph::core::FlowLedger ledger(network); + netgraph::core::FlowPolicy policy(ledger,heads,destinations,netgraph::core::FlowPolicyConfig{netgraph::core::Pinned{saved},netgraph::core::Admission::Lossy}); + Digest expected; + unsigned __int128 total=0; + for(int i=0;i<32;++i) { + const netgraph::core::Amount offer=mode==2&&i<4 ? m : mode==2&&i==4 ? 5 : 17; + total=incremental ? total+static_cast(offer) : static_cast(offer); + const auto result=incremental ? policy.place(offer) : policy.replace(offer); + std::vector share(5,0); + if(mode==1) { + const unsigned w[]={2,1,3,1,2}; + for(unsigned __int128 u=0;uw[best]*(share[j]+1))best=j; + ++share[best]; + } + } else for(std::size_t j=0;j<5;++j)share[j]=total/5+(j(actual.hi)<<64)|actual.lo)!=share[j])throw std::runtime_error("captured-source series quota mismatch"); + } + abaapi::add_rows(expected,result); + } + if(abaapi::captured_series(network,mode,incremental)!=expected.h)throw std::runtime_error("captured-source timing row omits or changes work"); + } + std::puts("captured sources: all 32-step ordinary/wide histories and row digests match"); + return 0; +} + int main(int argc, char** argv) { + if (argc == 2 && std::string(argv[1]) == "test-captured-sources") return test_captured_sources(); if (argc == 2 && std::string(argv[1]) == "test-times") return test_times(); if (argc == 2 && std::string(argv[1]) == "test-msd-epochs") return test_msd_epochs(); auto r = rows(); @@ -3174,6 +3211,16 @@ def harness(self, *args: str) -> subprocess.CompletedProcess: cmd = [str(self.binary), *args] return subprocess.run(cmd, capture_output=True, text=True, timeout=60) + def test_captured_source_rows_match_independent_quotas(self): + result = subprocess.run( + [str(self.binary), "test-captured-sources"], + capture_output=True, + text=True, + timeout=30, + ) + self.assertEqual(result.returncode, 0, result.stdout + result.stderr) + self.assertIn("all 32-step", result.stdout) + def test_compiles_without_a_diagnostic(self): self.assertEqual(self.compiled.returncode, 0, self.compiled.stderr[-2000:]) self.assertEqual(self.compiled.stderr, "") @@ -3183,7 +3230,7 @@ def test_list(self): self.assertEqual(proc.returncode, 0, proc.stderr) rows = aba.row_list(proc.stdout.encode(), "aba-list") real = {k: v for k, v in rows.items() if not k.startswith("test.")} - self.assertEqual(len(real), 95) + self.assertEqual(len(real), 101) sums = sha256sums(HERE / "queries") lists = {} for name in sums: @@ -3217,7 +3264,7 @@ def test_blocks(self): real = [row for row in listed if not row.startswith("test.")] with concurrent.futures.ThreadPoolExecutor(os.cpu_count() or 1) as pool: procs = list(pool.map(lambda row: self.harness("aba-run", row, "1"), real)) - self.assertEqual(len(procs), 95) + self.assertEqual(len(procs), 101) for row, proc in zip(real, procs, strict=True): self.assertEqual(proc.returncode, 0, (row, proc.stderr)) self.assertEqual( diff --git a/dev/pytest_guard.py b/dev/pytest_guard.py index bd06153..d6f17a8 100644 --- a/dev/pytest_guard.py +++ b/dev/pytest_guard.py @@ -39,6 +39,8 @@ "tests/py/test_flow_policy.py::test_python_publication_is_all_or_nothing[False-global]", "tests/py/test_flow_policy.py::test_python_publication_is_all_or_nothing[True-shortest_paths]", "tests/py/test_flow_policy.py::test_python_publication_is_all_or_nothing[True-global]", + "tests/py/test_flow_policy.py::test_python_publication_is_all_or_nothing[False-weighted]", + "tests/py/test_flow_policy.py::test_python_publication_is_all_or_nothing[True-weighted]", "tests/py/test_flow_policy_fixtures.py::test_a_corrupted_expectation_fails[ledger]", "tests/py/test_flow_policy_fixtures.py::test_a_corrupted_expectation_fails[policy]", "tests/py/test_flow_policy_fixtures.py::test_a_corrupted_expectation_fails[result]", diff --git a/dev/stubs/check_clients.py b/dev/stubs/check_clients.py index 8e5aac2..8fa3c63 100644 --- a/dev/stubs/check_clients.py +++ b/dev/stubs/check_clients.py @@ -66,6 +66,7 @@ 'ng.to_units("1.5", 1.0)', "ng.FlowPolicyConfig(ng.CentralizedTE(source_allocation=opt))", "ng.CentralizedTE()", + "source_weights=[1.5]", "ng.FlowPolicyConfig(routing=sp, placement=None)", "ng.Path(g, np.zeros((1, 1), dtype=np.float64))", "ng.evaluate_pairs(g, float_pairs,", diff --git a/dev/stubs/overrides.pyi b/dev/stubs/overrides.pyi index fdd47bd..d18b3ba 100644 --- a/dev/stubs/overrides.pyi +++ b/dev/stubs/overrides.pyi @@ -350,16 +350,23 @@ class ShortestPaths: def edge_weights(self) -> tuple[int, ...] | None: ... class CentralizedTE: - # reason: support is a PredecessorDAG or None; tunnel_count (T2) a TunnelCount or None - # generated: def __init__(self, *, source_allocation: SourceAllocation, support: typing.Any = None, tunnel_count: typing.Any = None, prefer_headroom: bool = False) -> None: + # reason: node-indexed source weights; typed support and tunnel count + # generated: def __init__(self, *, source_allocation: SourceAllocation, source_weights: typing.Any = None, support: typing.Any = None, tunnel_count: typing.Any = None, prefer_headroom: bool = False) -> None: def __init__( self, *, source_allocation: SourceAllocation, + source_weights: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None = None, support: PredecessorDAG | None = None, tunnel_count: TunnelCount | None = None, prefer_headroom: bool = False, ) -> None: ... + # reason: owned immutable node-indexed weights + # generated: def source_weights(self) -> typing.Any: + @property + def source_weights(self) -> tuple[int, ...] | None: ... class Pinned: # reason: black_holes may be None diff --git a/docs/semantics.md b/docs/semantics.md index 4e4a8af..70d3cfc 100644 --- a/docs/semantics.md +++ b/docs/semantics.md @@ -50,7 +50,8 @@ Contents: and removes it again. - **Roster.** The sources of a policy that take part in placement, fixed when the policy is built. - **Source allocation.** How a demand's total enters at its roster sources: in equal round-robin - shares (`SourceAllocation.EQUAL`) or as a controller chooses (`OPTIMIZED`). + shares (`SourceAllocation.EQUAL`), highest-averages shares of declared weights (`WEIGHTED`), + or as a controller chooses (`OPTIMIZED`). - **Round robin `RR(x, k, i)`.** `x` units over `k` members: `x // k` each, and one more for the first `x % k` members. - **Highest averages `H(x, w)`.** `x` units over members with integer weights `w`, given one at a @@ -846,7 +847,7 @@ operation, `apply_actions`: one after another, or all at the same time with thei parallel_edges=True) DistributedTE(tunnel_count, *, cost_ceiling=None, min_unreserved_bandwidth=0, tie_break=RouteTieBreak.FEWER_HOPS, parallel_edges=True) # T1 - CentralizedTE(*, source_allocation, support=None, tunnel_count=None, + CentralizedTE(*, source_allocation, source_weights=None, support=None, tunnel_count=None, prefer_headroom=False) # T2 with tunnel_count Pinned(program, *, black_holes=None) TunnelCount(per_head, *, up_to=False) @@ -860,7 +861,7 @@ built from one model read one `edge_weights` array). | --- | --- | --- | | `ShortestPaths()` | IGP forwarding (as OSPF or IS-IS routers do): static shortest paths, never refreshed. `ShortestPaths()` is ECMP; `allocation=WEIGHTED` is WCMP; `allocation=OPTIMIZED` is a controller restricted to those paths | `allocation`, `source_allocation`, `weight_basis`, `edge_weights` and the route choice (`tie_break`, `multipath`, `parallel_edges`) | | `DistributedTE(TunnelCount(N))` (T1) | distributed strict-bandwidth tunnels, as RSVP-TE head ends set them up: every head runs CSPF for its own tunnels, no controller ([T1](#t1-tunnels-set-up-by-their-heads)) | `tunnel_count`; `cost_ceiling`: `None`, `AbsoluteCost(c)` or `CostStretch(f)`; `min_unreserved_bandwidth`: a search minimum in units; `tie_break`, `parallel_edges` | -| `CentralizedTE(source_allocation=...)` | an ideal controller that sees the whole network, or only the edges of `support`; with `tunnel_count`, T2: the controller lays out equal tunnels for every head ([T2](#t2-the-controllers-equal-tunnels)) | `source_allocation` (required); `support`: a `PredecessorDAG` of the graph, or `None` for every eligible edge; `tunnel_count`: a `TunnelCount(N)` or `TunnelCount(L, up_to=True)`, or `None`; `prefer_headroom`: T2's headroom objective after route cost | +| `CentralizedTE(source_allocation=...)` | an ideal controller that sees the whole network, or only the edges of `support`; with `tunnel_count`, T2: the controller lays out equal tunnels for every head ([T2](#t2-the-controllers-equal-tunnels)) | `source_allocation` (required); `source_weights`: one integer per graph node, required exactly for `WEIGHTED` without tunnels; `support`: a `PredecessorDAG` of the graph, or `None` for every eligible edge; `tunnel_count`: a `TunnelCount(N)` or `TunnelCount(L, up_to=True)`, or `None`; `prefer_headroom`: T2's headroom objective after route cost | | `Pinned(program)` | forwarding over a given program, computing nothing | `program`: a `ForwardingProgram`; `black_holes`: an `Eligibility` whose excluded nodes and edges are black holes, or `None` | **Two stages of validation.** A constructor converts its arguments: an unknown keyword (also every @@ -887,8 +888,8 @@ raises `ValueError`: | --- | --- | --- | --- | --- | --- | | `ShortestPaths()` | `EQUAL` (ECMP, the default) | `EQUAL` / `EQUAL` | `LOSSLESS`, `LOSSY` | `tie_break`, `multipath`, `parallel_edges` | none | | `ShortestPaths(allocation=WEIGHTED)` | `WEIGHTED` (WCMP) | `EQUAL` / `EQUAL` | `LOSSLESS`, `LOSSY` | the same | `weight_basis`: `CAPACITY` (default), `EXPLICIT`, `RESIDUAL_SNAPSHOT` | -| `ShortestPaths(allocation=OPTIMIZED)` | `OPTIMIZED` | `OPTIMIZED` / both | `LOSSLESS` | the same | none | -| `CentralizedTE(source_allocation=...)`, optionally `support` | optimal | required / both | `LOSSLESS` | none | none | +| `ShortestPaths(allocation=OPTIMIZED)` | `OPTIMIZED` | `OPTIMIZED` / `EQUAL`, `OPTIMIZED` | `LOSSLESS` | the same | none | +| `CentralizedTE(source_allocation=...)`, optionally `support` | optimal | required / EQUAL, OPTIMIZED, WEIGHTED | `LOSSLESS` | none | `source_weights` exactly with WEIGHTED | | T1: `DistributedTE(TunnelCount(N))` | tunnels | `EQUAL`, fixed | `LOSSLESS`, `LOSSY` | `tie_break`, `parallel_edges` | none | | T2: `CentralizedTE(source_allocation=..., tunnel_count=...)`, optionally `support` | tunnels | required; `EQUAL`; `OPTIMIZED` only with one source | `LOSSLESS`, `LOSSY` | none (`prefer_headroom`) | none | | `Pinned(program)` | the program's | the program's | `LOSSLESS`, `LOSSY` | none | none | @@ -901,7 +902,8 @@ matrix, in the order they are checked: 1. the enumeration values (`admission`, then the model's `allocation`, `source_allocation`, `weight_basis`, `tie_break`), each `: is not a value of ` (reachable with a value built from an integer); -2. the route allocation and the source allocation: `ShortestPaths with EQUAL or WEIGHTED requires +2. the route allocation and the source allocation: first `source_allocation=WEIGHTED requires + CentralizedTE without tunnel_count`; then `ShortestPaths with EQUAL or WEIGHTED requires source_allocation=EQUAL`; for T2, `CentralizedTE with tunnel_count and several sources requires source_allocation=EQUAL` (`OPTIMIZED` with more than one input source, counted after removing repeats and before any Eligibility; with one source it is the same calculation as `EQUAL`); @@ -915,7 +917,8 @@ matrix, in the order they are checked: at a router the sources share); 5. `prefer_headroom requires tunnel_count`; 6. the weights: `weight_basis requires allocation=WEIGHTED`; `weight_basis=EXPLICIT requires - edge_weights`; `edge_weights require weight_basis=EXPLICIT`; + edge_weights`; `edge_weights require weight_basis=EXPLICIT`; for CentralizedTE, + `source_allocation=WEIGHTED requires source_weights` and `source_weights require source_allocation=WEIGHTED`; 7. last, a cache given to a model that does not read one: ` does not use ShortestPathCache` (only `ShortestPaths` reads a `ShortestPathCache`). @@ -940,6 +943,16 @@ the `ShortestPathCache` (`foreign ShortestPathCache: bound to another graph`), t construction); `Pinned`'s endpoints (`program endpoints do not match policy endpoints`; any number of each). +`source_weights` uses the same conversion as `edge_weights`: first the entire shape (rank and +nested sequences), then every integer type, then signed-int64 storage overflow. Thus `[1.5,[1]]` +reports the second entry's shape, and `[2**64,1.5]` reports the second entry's type. Ordinary +sequences such as range and tuples are accepted; unsigned arrays do not bypass overflow checks. +Policy/evaluator validation checks the graph node count (`source_weights: expected entries`), +then every entry in NodeId order (`source_weights[] must be an integer in [0, 2^62)`) after the +model/cache checks, even at zero offer. Each individual weight is bounded; their sum may exceed +64 bits. Cumulative Pinned LOSSY increments use exact wide apportionment through the existing +counter domain below 2^127, preserving declared proportions after many offers. + ### The source allocation The source allocation says how a demand's total enters at its roster sources, separately from how @@ -954,7 +967,12 @@ it is routed: virtual source joined to every roster source), whatever maximises the delivery and then minimises its cost. -There is no weighted source allocation; sources with fixed or uneven amounts are separate demands. +- **`WEIGHTED`** (`CentralizedTE` without `tunnel_count` only): each roster source injects its + highest-averages share `H(x, w)` of the total. `source_weights` is required: one integer per graph + node in `[0, 2^62)`, copied once and exposed as an immutable tuple. Every entry is validated, + including unused and masked nodes, but only roster weights participate. Zero weights receive + nothing; all-zero roster weights give no injection, with no equal fallback. Other source + allocations refuse this vector; ShortestPaths and every tunnel configuration refuse WEIGHTED. `DistributedTE` always allocates equally and `Pinned` takes its program's injection; neither accepts the keyword. @@ -1021,7 +1039,11 @@ per-entry records at zero. unchanged network. With `EQUAL` source allocation the virtual source's arc to roster source `i` carries exactly `RR(T, k, i)`: the delivered total `T` is the largest whose equal shares all fit (found by exact binary search over the totals; a total fits only when the solve reaches it), and - that total is solved once more from zero, so the result does not depend on the search. A + that total is solved from zero, so the result does not depend on the search. WEIGHTED uses + `H(T, w)` instead of round robin in the same exact search: every root arc must be saturated, + then minimum cost is chosen. Each share is nondecreasing in T, so feasible totals form a prefix. + Its maximum is not an unrestricted minimum-cut certificate: `min_cut` and + `marginal_cost_curve` are None. A positive call on a network beyond the flow core's size limit raises `ValueError` ([section 2](#2-the-graph), Size). - **`CentralizedTE(support=dag)`** is the same controller restricted to the edges of `dag`, @@ -1035,7 +1057,8 @@ per-entry records at zero. remaining supply, subtract, repeat), one tunnel per path with its solved amount as weight (identifiers in decomposition order), also with a single source. With the `OPTIMIZED` source allocation the program keeps the solved supplies as **captured source weights** - (`source_weights`: every roster source, a zero supply included); with `EQUAL` it injects by + (`source_weights`: every roster source, a zero supply included). With `WEIGHTED` it instead + keeps each roster source's declared weight, zeros included; with `EQUAL` it injects by round robin. Forwarded on the same view, the program reproduces the solve exactly. - **Records of the controllers** (`CentralizedTE`, `ShortestPaths` with `OPTIMIZED`): one record per roster source, holding that source's share of the solved flow (its edges and its delivery), @@ -1255,7 +1278,10 @@ A `Pinned` policy's Eligibility is the failure being studied (local repair): the policy's exclusions. A head that no longer reaches a destination leaves the pool (equal sources: its share moves to the others); a head that still reaches one but has no surviving entry keeps its share and loses it. Captured source weights keep the remaining heads' saved weights; when all of - them are 0, the whole offer is lost at the sources (`NO_ACTIVE_WEIGHT`). + them are 0, a positive offer is lost at the sources. The call ends NO_ACTIVE_WEIGHT when the + program has an entry with a path. A program without one (an all-zero WEIGHTED program) ends + COMPLETE under LOSSY, with the offer in demand-level `source_drops` and every per-source row + zero; under LOSSLESS it admits nothing and ends EXHAUSTED. - An edge whose capacity is now 0 is not a failure: its traffic is lost on that edge, the tunnel stays `UP`. Weights stay as the program froze them. @@ -1884,7 +1910,12 @@ applies (an invalid call raises instead): | `EXHAUSTED` | otherwise: Lossless below the offer, any infinite offer (the first-hop experiment included), a controller whose maximum is 0 over existing routes | `call_undelivered` is an amount, never a status: a Lossy call can be `COMPLETE` with a positive -`call_undelivered`. A `Pinned` replay of a program gives the same termination as its producer. +`call_undelivered`. The live WEIGHTED controller has one additional outcome: positive offer, +nonempty roster and all roster weights zero gives NO_ACTIVE_WEIGHT, zero delivery and all finite +traffic unadmitted. It installs an empty program with captured zero weights. Pinned replay follows +its fixed-program rule: LOSSY COMPLETE with the whole offer lost at the sources, LOSSLESS +EXHAUSTED. This is the one producer/replay termination difference; empty roster is still NO_ROUTE +and zero offer COMPLETE. ```python def show(r): @@ -2539,7 +2570,7 @@ and `path_cost`, the optional outputs) is an empty `std::optional` in C++; numerator and a denominator (reduced on construction, `numerator()` and `denominator()`); a `design_demand` or an evaluator's `offer` is a `std::optional>`, absent for `None` and an empty inner value for `float('inf')`; and a `None` program, support or black holes -a null `std::shared_ptr` (`edge_weights` is a shared array, `std::shared_ptr>`). `CentralizedTE` has no default constructor: it is built from its `SourceAllocation`. The epoch's amounts are `Counter128` values. A Python `ValueError` is a `std::invalid_argument` in C++. `spf` takes a trailing C++-only `SpfQueue` argument that chooses diff --git a/include/netgraph/core/detail/enum_domain.hpp b/include/netgraph/core/detail/enum_domain.hpp index 44a887c..7ed60b6 100644 --- a/include/netgraph/core/detail/enum_domain.hpp +++ b/include/netgraph/core/detail/enum_domain.hpp @@ -36,7 +36,8 @@ inline void check_member(Admission v, const char* field) { inline void check_member(SourceAllocation v, const char* field) { switch (v) { case SourceAllocation::Equal: - case SourceAllocation::Optimized: return; + case SourceAllocation::Optimized: + case SourceAllocation::Weighted: return; } not_a_member(field, static_cast(v), "SourceAllocation"); } diff --git a/include/netgraph/core/detail/forwarding.hpp b/include/netgraph/core/detail/forwarding.hpp index ae757ce..6b658a2 100644 --- a/include/netgraph/core/detail/forwarding.hpp +++ b/include/netgraph/core/detail/forwarding.hpp @@ -87,6 +87,9 @@ struct ForwardingView { // The pooled form: one context, one root per view head (equal sources, every entry weight // positive). Its plan is plan(0), its roots the view's heads in order. bool pooled {false}; + // The immutable view's effective captured weights may be declared proportions, + // whose sum need not satisfy the solved-supply bound below 2^62. + bool wide_source_weights {false}; [[nodiscard]] std::size_t num_sources() const noexcept { return borrowed ? data->reachable_sources.size() : source_indices_.size(); } [[nodiscard]] std::int32_t source_index(std::size_t h) const noexcept { diff --git a/include/netgraph/core/detail/int128.hpp b/include/netgraph/core/detail/int128.hpp index 1720eba..1ddd137 100644 --- a/include/netgraph/core/detail/int128.hpp +++ b/include/netgraph/core/detail/int128.hpp @@ -5,7 +5,8 @@ c*b; compute a lower quota as floor(I*w/W), where I is the total, w one weight and W the sum of weights. A cost-stretch factor is an exact fraction n/d. - Product operands stay below 2^63, products below 2^126, and quotients fit 64 bits. + Ordinary Amount operations have operands below 2^63, products below 2^126 and + 64-bit quotients; cumulative apportionment uses the U192 operations below. Use __int128 when available; otherwise split products into 32-bit parts (limbs). I128 holds signed costs for deletion repairs: vertex cost offsets (potentials), distance @@ -122,6 +123,36 @@ inline std::uint64_t div_u128(U128 n, U128 d) noexcept { return q; } +// Cumulative source apportionment: total < 2^127, individual weight < 2^62, so a +// quota numerator or priority cross-product is below 2^189. Three portable words +// hold it without extending the ordinary Amount arithmetic's cost. +struct U192 { + std::uint64_t hi {0}, mid {0}, lo {0}; + friend auto operator<=>(const U192&, const U192&) = default; +}; + +inline U192 mul_wide(U128 a, std::uint64_t b) noexcept { + const U128 low = mul_u64(a.lo, b), high = mul_u64(a.hi, b); + const std::uint64_t mid = low.hi + high.lo; + return {high.hi + (mid < low.hi ? 1U : 0U), mid, low.lo}; +} + +// floor(n / d), quotient < 2^128 and 0 < d < 2^127. Source-weight sums +// are below 2^93, so shifting a remainder (always < d) cannot overflow U128. +inline U128 div_wide(U192 n, U128 d) noexcept { + U128 q {}, r {}; + for (int i = 191; i >= 0; --i) { + const auto word = i >= 128 ? n.hi : i >= 64 ? n.mid : n.lo; + r = add(shl(r, 1), U128 {0, (word >> (i % 64)) & 1U}); + q = shl(q, 1); + if (!(r < d)) { + r = sub(r, d); + q.lo |= 1; + } + } + return q; +} + // A signed 128-bit integer in two's complement, value = hi * 2^64 + lo. The member order makes // the defaulted comparison (hi signed, then lo unsigned) the numeric order. struct I128 { diff --git a/include/netgraph/core/detail/policy_engine.hpp b/include/netgraph/core/detail/policy_engine.hpp index b3221c3..ae8077f 100644 --- a/include/netgraph/core/detail/policy_engine.hpp +++ b/include/netgraph/core/detail/policy_engine.hpp @@ -136,12 +136,12 @@ struct PolicyAccess { // The configuration checks of FlowPolicy, shared with the evaluators' argument checks, in // FlowPolicyConfig's order (flow_policy.hpp): the enumeration values, the model matrix with a // supplied ShortestPathCache last (`cache` says whether one is supplied), the tunnel models' -// parameters and edge_weights' length and entries against `num_edges`. With `num_sources` (the +// parameters, edge_weights against num_edges and source_weights against num_nodes. With num_sources (the // normalized input sources) the two source-count rules run at their places in the matrix (T2's // several-sources rule first, the pooled single-path rule after the ineffective tie rule); // evaluate_pairs checks them per pair with check_source_count. Then, with the roster size, the // tunnel limit (check_tunnel_limit). -void check_config(const FlowPolicyConfig& config, bool cache, std::int32_t num_edges, std::optional num_sources); +void check_config(const FlowPolicyConfig& config, bool cache, std::int32_t num_nodes, std::int32_t num_edges, std::optional num_sources); void check_source_count(const FlowPolicyConfig& config, std::size_t num_sources); // The policy's snapshot: ShortestPaths' absent source_allocation and an absent weight_basis of // Weighted resolved. diff --git a/include/netgraph/core/detail/program_data.hpp b/include/netgraph/core/detail/program_data.hpp index 1b6de69..fb3b6fc 100644 --- a/include/netgraph/core/detail/program_data.hpp +++ b/include/netgraph/core/detail/program_data.hpp @@ -186,8 +186,8 @@ struct ReplayBasis { }; // The program of a controller: one tunnel per path in decomposition order (index = position), -// weight = amount; captured weights `supplies` (per roster source, optimized) or equal sources -// (empty). +// weight = amount. `supplies` holds captured per-roster weights: solved supplies for Optimized, +// declared weights for Weighted CentralizedTE; empty selects equal source allocation. [[nodiscard]] std::shared_ptr optimized_flow_program( const Graph& graph, std::span sources, std::span destinations, std::span reachable_sources, std::vector paths, std::span supplies, diff --git a/include/netgraph/core/detail/route_kernels.hpp b/include/netgraph/core/detail/route_kernels.hpp index 5303c93..727f5c2 100644 --- a/include/netgraph/core/detail/route_kernels.hpp +++ b/include/netgraph/core/detail/route_kernels.hpp @@ -77,6 +77,11 @@ inline std::size_t round_robin(Amount total, std::span out) noexcept { // any member's allocation (house monotonicity). void highest_averages(Amount total, std::span weights, std::span out); +// The same rule for cumulative offered totals below 2^127. Weight sums stay +// below 2^93 (fewer than 2^31 members). Quotas/priorities use exact 192-bit products. +struct U128; +void highest_averages(U128 total, std::span weights, std::span out); + // ---------------------------------------------------------------- plans // Throws std::invalid_argument for a value outside its enumeration and for the unsupported diff --git a/include/netgraph/core/flow_policy.hpp b/include/netgraph/core/flow_policy.hpp index 570ea24..b77df16 100644 --- a/include/netgraph/core/flow_policy.hpp +++ b/include/netgraph/core/flow_policy.hpp @@ -111,9 +111,12 @@ struct DistributedTE { struct CentralizedTE { explicit CentralizedTE(SourceAllocation source_allocation_) : source_allocation(source_allocation_) {} SourceAllocation source_allocation; + bool prefer_headroom {false}; + // Required exactly for Weighted, without tunnels: one immutable weight per graph node, + // each in [0, 2^62). Only capacity-blind roster members participate; every entry is validated. + std::shared_ptr> source_weights {}; std::shared_ptr support {}; std::optional tunnel_count {}; - bool prefer_headroom {false}; friend bool operator==(const CentralizedTE&, const CentralizedTE&) = default; }; struct Pinned { @@ -130,13 +133,13 @@ using Routing = std::variant> min_cut {}; }; diff --git a/include/netgraph/core/forwarding_program.hpp b/include/netgraph/core/forwarding_program.hpp index 0c63bef..cecc006 100644 --- a/include/netgraph/core/forwarding_program.hpp +++ b/include/netgraph/core/forwarding_program.hpp @@ -127,8 +127,9 @@ class ForwardingProgram { [[nodiscard]] std::span sources() const noexcept; [[nodiscard]] std::span destinations() const noexcept; [[nodiscard]] std::span tunnels() const noexcept; - // The captured source weights (roster source, saved supply) in ascending NodeId, every roster - // source listed; nullopt for equal sources. + // The captured source weights (roster source, weight) in ascending NodeId, every roster + // source listed, zeros included: solved supplies for Optimized, declared weights for + // Weighted CentralizedTE. nullopt for equal sources; an empty captured roster is engaged. [[nodiscard]] const std::optional>>& source_weights() const noexcept; private: diff --git a/include/netgraph/core/options.hpp b/include/netgraph/core/options.hpp index e17f885..93cc091 100644 --- a/include/netgraph/core/options.hpp +++ b/include/netgraph/core/options.hpp @@ -90,6 +90,7 @@ enum class Admission { Lossless, Lossy }; // x enters as round robin over the roster (ascending NodeId, the first x mod H sources one unit // more); a source whose share cannot go anywhere keeps it and loses it, it never moves to another // source. Optimized: the controller chooses the integer injections (one virtual source). -enum class SourceAllocation { Equal, Optimized }; +// Weighted: CentralizedTE without tunnels prescribes H(total, source_weights) instead of RR. +enum class SourceAllocation { Equal, Optimized, Weighted }; } // namespace netgraph::core diff --git a/python/netgraph_core/__init__.pyi b/python/netgraph_core/__init__.pyi index 620441a..09d06cd 100644 --- a/python/netgraph_core/__init__.pyi +++ b/python/netgraph_core/__init__.pyi @@ -187,17 +187,21 @@ class SourceAllocation: How a demand's traffic enters at its sources, separately from how it is routed. EQUAL: round robin over the roster (ascending NodeId, the first sources one unit more); a source whose share cannot go anywhere keeps it and loses it (LOSSLESS then admits only totals that give it - nothing). OPTIMIZED: the controller chooses the injections (one virtual source). + nothing). OPTIMIZED: the controller chooses the injections (one virtual source). WEIGHTED: + CentralizedTE without tunnels prescribes highest-averages shares of declared source_weights. Members: EQUAL OPTIMIZED + + WEIGHTED """ EQUAL: typing.ClassVar[SourceAllocation] OPTIMIZED: typing.ClassVar[SourceAllocation] + WEIGHTED: typing.ClassVar[SourceAllocation] __members__: typing.ClassVar[dict[str, SourceAllocation]] @typing.overload @@ -970,8 +974,8 @@ class ForwardingProgram: """ An immutable value: one demand's routes and integer weights. sources and destinations (the normalized sets); tunnels: the path entries in ascending index (split routes are not listed); source_weights: the - captured source supplies ((source, weight) for every roster source, ascending) of the optimized - controllers, None for equal sources (round robin over the roster). Each head splits its share by + captured weights ((source, weight) for every roster source, ascending): optimized controllers' solved + supplies, weighted CentralizedTE's declared weights, or None for equal sources (round robin). Each head splits its share by highest averages over its entries' weights; identical routes are never merged. ShortestPaths and CentralizedTE produce one (FlowPolicy.program, PlacementResult.program), and so do T1 and T2 (their tunnels); from_routes builds one from given routes; Pinned forwards one. No public constructor. @@ -1303,7 +1307,10 @@ class CentralizedTE: carries nothing), on the free capacity plus its own allocation (it may move its own traffic, never another's). It takes no route choice. Its source_allocation is required: OPTIMIZED, the controller chooses how much enters at each source; EQUAL: every roster source sends its - round-robin share of the largest total whose shares all fit. Its program is the solve cut into + round-robin share of the largest total whose shares all fit; WEIGHTED: highest-averages shares + of declared source_weights, only without tunnels. Zero weights receive nothing; all-zero + roster weights end NO_ACTIVE_WEIGHT on a positive live call. The program saves declared weights + for weighted sources, solved supplies for optimized sources. Its program is the solve cut into paths per source, each a tunnel weighted by its amount. A positive call on a network beyond the flow core's int32 numbering raises ValueError (see FlowPolicy.place). T2, CentralizedTE(source_allocation=..., tunnel_count=TunnelCount(N)) (no route choice either; with @@ -1323,13 +1330,18 @@ class CentralizedTE: self, *, source_allocation: SourceAllocation, + source_weights: collections.abc.Sequence[typing.SupportsIndex] + | numpy.typing.NDArray[numpy.integer] + | None = None, support: PredecessorDAG | None = None, tunnel_count: TunnelCount | None = None, prefer_headroom: bool = False, ) -> None: """ - CentralizedTE(*, source_allocation, support=None, tunnel_count=None, prefer_headroom=False): - source_allocation is required (EQUAL or OPTIMIZED; None or a missing argument raises TypeError); + CentralizedTE(*, source_allocation, source_weights=None, support=None, tunnel_count=None, prefer_headroom=False): + source_allocation is required (EQUAL, OPTIMIZED or WEIGHTED; None or a missing argument raises TypeError). + WEIGHTED requires source_weights and no tunnel_count: one integer per graph node in [0, 2^62), + copied once and exposed as an immutable tuple. Other source allocations refuse source_weights. support a PredecessorDAG of the policy's graph (checked when a policy is built with it: `support belongs to another graph`) or None for every eligible edge; tunnel_count a TunnelCount (T2; the count in [1, 10000] is checked when a policy is built with it) or None; prefer_headroom (T2 @@ -1347,7 +1359,13 @@ class CentralizedTE: @property def source_allocation(self) -> SourceAllocation: """ - the SourceAllocation: EQUAL or OPTIMIZED + the SourceAllocation: EQUAL, OPTIMIZED or WEIGHTED + """ + + @property + def source_weights(self) -> tuple[int, ...] | None: + """ + declared node-indexed source weights as an immutable tuple, or None """ @property @@ -1483,7 +1501,9 @@ class Termination: NO_ACTIVE_WEIGHT when the program has an entry with a path (an up tunnel, a controller path or a split route) but no head can use one (no positive weight: WEIGHTED over edges of capacity 0 only, routes of weight 0, every up tunnel failed); a program whose tunnels are all down is not - this case; a LOSSY finite request: COMPLETE (delivery and losses account for the whole offer, + this case. A live CentralizedTE WEIGHTED call without tunnel_count with a positive offer + and a nonempty all-zero source-weight roster is also NO_ACTIVE_WEIGHT, with no tunnels; + Pinned replay of that empty program follows the remaining rules. A LOSSY finite request: COMPLETE (delivery and losses account for the whole offer, which does not mean nothing was lost); otherwise COMPLETE when the whole request was delivered, else EXHAUSTED (an infinite request is EXHAUSTED). A controller whose maximum is 0 over existing routes is EXHAUSTED, not NO_ROUTE. @@ -1827,7 +1847,7 @@ class PlacementResult: cumulative flow (a zero call reports it unchanged; None before the epoch's first positive call); in ascending cost, delivering `units` more raised the minimum total flow cost by `cost` per unit (more delivery can reroute earlier flow, so these are not the costs of the final - paths). None for the other models and the equal source allocation + paths). None for the other models and prescribed (EQUAL or WEIGHTED) sources """ @property @@ -1837,7 +1857,7 @@ class PlacementResult: reached the maximum flow: the minimum cut closest to the sources, every allowed edge leaving the nodes the roster sources reach in the residual network (free capacity plus the policy's own allocation), an edge with nothing free (capacity 0, or held by others) included, - ascending EdgeId; [] for an empty roster. None otherwise (another model, the equal source allocation, a + ascending EdgeId; [] for an empty roster. None otherwise (another model, prescribed EQUAL or WEIGHTED sources, a support, a call below the maximum, a zero call, forward) """ @@ -2690,7 +2710,9 @@ def evaluate_demand( (ShortestPaths EQUAL/WEIGHTED LOSSY without an offer: the first-hop experiment). The options are checked as the EvaluationOptions docstring states. The exact maximum flow is CentralizedTE(source_allocation=OPTIMIZED); with source_allocation=EQUAL, the largest - total whose round-robin source shares are all carried. A supplied frozen cache raises ShortestPathCacheMiss + total whose round-robin source shares are all carried; with WEIGHTED (CentralizedTE without tunnel_count), + the largest total whose highest-averages shares of source_weights are all carried. + A supplied frozen cache raises ShortestPathCacheMiss for an absent key, unchanged. A failed call raises; a supplied ShortestPathCache then behaves as the ShortestPathCache docstring states. """ diff --git a/src/evaluators.cpp b/src/evaluators.cpp index dcb1cda..589c3dc 100644 --- a/src/evaluators.cpp +++ b/src/evaluators.cpp @@ -274,7 +274,7 @@ void check_batch_arguments(const Graph& graph, const EvaluationOptions& options, global->support->graph_uid() != graph.uid()) { throw std::invalid_argument("support belongs to another graph"); } - check_config(options.config, options.cache != nullptr, graph.num_edges(), std::nullopt); + check_config(options.config, options.cache != nullptr, graph.num_nodes(), graph.num_edges(), std::nullopt); (void)evaluator_call(options.config, options.offer, options.design_demand); } @@ -358,7 +358,7 @@ SensitivityResult evaluate_edge_failures_in_call(const Graph& graph, std::span(&options.config.routing); const bool global = global_routing != nullptr && !global_routing->support && !global_routing->tunnel_count.has_value() && - global_routing->source_allocation != SourceAllocation::Equal; + global_routing->source_allocation == SourceAllocation::Optimized; const bool shortest_paths = std::holds_alternative(options.config.routing); SensitivityResult out; std::vector on_route; // ShortestPaths: the baseline's reachable support diff --git a/src/flow_policy.cpp b/src/flow_policy.cpp index 7f23c32..1384d0e 100644 --- a/src/flow_policy.cpp +++ b/src/flow_policy.cpp @@ -19,8 +19,8 @@ * The controllers (place_optimized_flow): unrestricted CentralizedTE over every eligible edge, CentralizedTE with a support over that support trimmed, ShortestPaths Optimized over the union of the roster's routes (prepared as above). A minimum-cost flow of the cumulative value on V = W + own, from one - virtual source (the optimized source allocation) or with source i's arc capped at its round-robin share of - the largest total whose shares all fit (the equal source allocation, integer bisection), cut into paths + virtual source (the optimized source allocation) or with source i's arc capped at its RR or H share of + the largest total whose shares all fit (equal or weighted source allocation, integer bisection), cut into paths per source (decompose()): the program, each path a tunnel weighted by its amount; each source's record is the sum of its paths. * Pinned (place_pinned): forwarding its program as the policy's view replays it under its mask @@ -1029,7 +1029,7 @@ PendingPolicyUpdate place_pooled(const PolicyEngine& pe, const PolicyEpoch& cur, // ---------------------------------------------------------------- the controllers // One solve of a controller from zero on the view V with value cap `cap` (nullopt: uncapped); -// `caps` (the equal source allocation) caps source i's arc at caps[i]. Unrestricted CentralizedTE solves over every +// `caps` (prescribed source allocation) caps source i's arc at caps[i]. Unrestricted CentralizedTE solves over every // eligible edge, its V and flows per EdgeId; CentralizedTE with a support and ShortestPaths Optimized over // `support`, their V and flows aligned with it. struct OptimizedFlowResult { @@ -1054,17 +1054,18 @@ OptimizedFlowResult solve(const PolicyEngine& pe, std::span suppor return out; } -// The equal source allocation: the largest total T in [lo, hi] whose round-robin supplies RR(T, H, i) are all +// Prescribed source allocation: the largest total T in [lo, hi] whose RR or H supplies are all // carried (a solve capped at T with source i's arc capped at its share reaches T), given that lo's // are. Feasible totals form a prefix (each share never decreases in T, and a smaller supply // vector stays feasible), so integer bisection is exact; T's solve from zero is returned, so the // result does not depend on the probes. -OptimizedFlowResult solve_equal(const PolicyEngine& pe, std::span support, std::span V, Amount lo, - Amount hi, Trace* probes) { +OptimizedFlowResult solve_prescribed(const PolicyEngine& pe, std::span support, std::span V, Amount lo, + Amount hi, std::span weights, Trace* probes) { std::vector caps(pe.reachable_sources.size()); auto attempt = [&](Amount t) -> std::optional { std::fill(caps.begin(), caps.end(), 0); - round_robin(t, caps); + if (weights.empty()) round_robin(t, caps); + else highest_averages(t, weights, caps); auto s = solve(pe, support, V, t, caps); if (kTraced && probes != nullptr) probes->push(Trace::integer(t)); if (s.flow_value != t) return std::nullopt; @@ -1082,11 +1083,11 @@ OptimizedFlowResult solve_equal(const PolicyEngine& pe, std::span } } if (!best) best = attempt(lo); - if (!best) throw std::logic_error("equal source allocation: the admitted total is no longer carried"); + if (!best) throw std::logic_error("prescribed source allocation: the admitted total is no longer carried"); return std::move(*best); } -// The upper end of the equal search: the view summed over the edges leaving the roster sources +// The upper end of a prescribed-supply search: the view summed over the edges leaving the roster sources // (unrestricted CentralizedTE: the eligible ones, V per EdgeId; otherwise the support's, V aligned with // it); the supplies leave through them. Amount source_outgoing_capacity_bound(const PolicyEngine& pe, std::span support, std::span V) { @@ -1133,8 +1134,16 @@ PendingPolicyUpdate place_optimized_flow(const PolicyEngine& pe, const PolicyEpo Trace* trace = rq.trace; const bool dense = is_unrestricted_centralized_te(pe); const bool global = is(pe); - const bool equal = pe.source_allocation == SourceAllocation::Equal; + const bool prescribed = pe.source_allocation != SourceAllocation::Optimized; + const bool weighted = pe.source_allocation == SourceAllocation::Weighted; const std::size_t k = pe.reachable_sources.size(); + std::vector source_weights; + if (weighted) { + const auto& declared = *std::get(pe.config.routing).source_weights; + source_weights.reserve(k); + for (NodeId src : pe.reachable_sources) source_weights.push_back(declared[static_cast(src)]); + } + const bool no_active_source_weight = weighted && std::none_of(source_weights.begin(), source_weights.end(), [](Amount w) { return w != 0; }); const bool created = cur.record_groups.front().empty(); // ShortestPaths Optimized: the support of the epoch (its routes, prepared at its first call). PreparedShortestPaths prep; @@ -1183,14 +1192,14 @@ PendingPolicyUpdate place_optimized_flow(const PolicyEngine& pe, const PolicyEpo } const std::optional cap = v.has_value() ? std::optional(P + *v) : std::nullopt; if (pe.capture != nullptr) { - if (equal || !dense) throw std::logic_error("a deletion capture of a controller other than optimized CentralizedTE"); + if (prescribed || !dense) throw std::logic_error("a deletion capture of a controller other than optimized CentralizedTE"); pe.capture->graph = pe.graph; } Trace probes = Trace::list(); OptimizedFlowResult sol; - if (equal) { - const Amount top = source_outgoing_capacity_bound(pe, support, V); - sol = solve_equal(pe, support, V, P, cap.has_value() ? std::min(*cap, top) : top, &probes); + if (prescribed) { + const Amount top = no_active_source_weight ? 0 : source_outgoing_capacity_bound(pe, support, V); + sol = solve_prescribed(pe, support, V, P, cap.has_value() ? std::min(*cap, top) : top, source_weights, &probes); } else { sol = solve(pe, support, V, cap, {}); } @@ -1234,7 +1243,7 @@ PendingPolicyUpdate place_optimized_flow(const PolicyEngine& pe, const PolicyEpo } const auto& supplies = dec.supplies; auto program = optimized_flow_program(g, pe.sources, pe.destinations, pe.reachable_sources, std::move(dec.paths), - equal ? std::span {} : std::span(supplies), + weighted ? std::span(source_weights) : prescribed ? std::span {} : std::span(supplies), optimized_flow_replay_basis(pe, flows)); const Counter128 requested = requested_after(cur, v); PlacementResult& out = s.result; @@ -1242,18 +1251,21 @@ PendingPolicyUpdate place_optimized_flow(const PolicyEngine& pe, const PolicyEpo if (v.has_value()) out.call_undelivered = *v - out.call_delivered; out.delivery_delta = out.call_delivered; out.termination = v.has_value() && out.call_delivered == *v ? Termination::Complete : Termination::Exhausted; + if (no_active_source_weight && (!v.has_value() || *v != 0)) { + out.termination = Termination::NoActiveWeight; + } set_flags(out, before_program, program.get(), false); out.program = program; out.by_tunnel = optimized_flow_tunnel_rows(*program); const auto after = draft_records(s.drafts); fill_state(pe, after, requested, cur.infinite || !v.has_value(), Counter128 {}, out); out.total_cost = total_cost_of(g, after); - const bool curve = dense && !equal; + const bool curve = dense && !prescribed; if (curve) out.marginal_cost_curve = sol.payload.marginal_cost_curve; if (curve && rq.outputs != nullptr && rq.outputs->min_cut) out.min_cut = sol.payload.min_cut; if (kTraced && trace) { if (!global) trace->set("prepare", created ? routes_trace(prep) : Trace::null()); - if (equal) trace->set("probes", std::move(probes)); + if (prescribed) trace->set("probes", std::move(probes)); if (dense) trace->set("V", Trace::ints(V)); trace->set("cap", cap.has_value() ? Trace::integer(*cap) : Trace::null()); Trace fc = Trace::map(); @@ -1752,7 +1764,7 @@ void check_pooled_single_path(const Routing& r, std::size_t num_sources) { } // namespace -void check_config(const FlowPolicyConfig& config, bool cache, std::int32_t num_edges, std::optional num_sources) { +void check_config(const FlowPolicyConfig& config, bool cache, std::int32_t num_nodes, std::int32_t num_edges, std::optional num_sources) { const auto& r = config.routing; if (r.valueless_by_exception()) invalid("routing: the variant holds no routing mode"); // The enumeration values. @@ -1772,6 +1784,10 @@ void check_config(const FlowPolicyConfig& config, bool cache, std::int32_t num_e const bool lossy = config.admission == Admission::Lossy; // The model matrix in its order: route and source allocation, admission, the route-choice // controls, prefer_headroom, the weight combinations, then a cache on a model that does not read it. + if ((sp != nullptr && sp->source_allocation == SourceAllocation::Weighted) || + (gl != nullptr && t2 && gl->source_allocation == SourceAllocation::Weighted)) { + invalid("source_allocation=WEIGHTED requires CentralizedTE without tunnel_count"); + } if (sp != nullptr) { const bool optimized = sp->allocation == RouteAllocation::Optimized; if (!optimized && sp->source_allocation == SourceAllocation::Optimized) { @@ -1791,6 +1807,8 @@ void check_config(const FlowPolicyConfig& config, bool cache, std::int32_t num_e if (num_sources.has_value()) check_t2_sources(r, *num_sources); if (!t2 && lossy) invalid("CentralizedTE without tunnel_count requires admission=LOSSLESS"); if (gl->prefer_headroom && !t2) invalid("prefer_headroom requires tunnel_count"); + if (gl->source_allocation == SourceAllocation::Weighted && !gl->source_weights) invalid("source_allocation=WEIGHTED requires source_weights"); + if (gl->source_allocation != SourceAllocation::Weighted && gl->source_weights) invalid("source_weights require source_allocation=WEIGHTED"); } if (cache && sp == nullptr) invalid(std::string(model_class(r)) + " does not use ShortestPathCache"); // Then the tunnel count, an "up to" count for DistributedTE, the ceilings, the search minimum and @@ -1811,6 +1829,13 @@ void check_config(const FlowPolicyConfig& config, bool cache, std::int32_t num_e if (w[e] < 0 || w[e] >= kDomainLimit) invalid("edge_weights[" + std::to_string(e) + "] must be an integer in [0, 2^62)"); } } + if (gl != nullptr && gl->source_weights) { + const auto& w = *gl->source_weights; + if (w.size() != static_cast(num_nodes)) invalid("source_weights: expected " + str(num_nodes) + " entries"); + for (std::size_t i = 0; i < w.size(); ++i) { + if (w[i] < 0 || w[i] >= kDomainLimit) invalid("source_weights[" + std::to_string(i) + "] must be an integer in [0, 2^62)"); + } + } } void check_source_count(const FlowPolicyConfig& config, std::size_t num_sources) { @@ -1899,7 +1924,7 @@ void prepare_arguments(Prepared& pe, const Graph& g, std::span sou throw std::invalid_argument("black_holes belongs to another graph"); } pe.eligibility = eligibility; - detail::check_config(pe.config, cache != nullptr, g.num_edges(), pe.sources.size()); + detail::check_config(pe.config, cache != nullptr, g.num_nodes(), g.num_edges(), pe.sources.size()); // Only ShortestPaths has absent defaults to resolve. The other models keep // their already-validated snapshot without moving the routing variant. if (std::holds_alternative(pe.config.routing)) { @@ -2105,7 +2130,7 @@ namespace { // The program a computing model installs for an empty roster: an empty one. Pinned never // comes here: its forwarding with no head is place_pinned's. std::shared_ptr empty_roster_program(const PolicyEngine& pe) { - return empty_program(pe.graph->uid(), pe.sources, pe.destinations, uses_optimized_flow(pe) && pe.source_allocation == SourceAllocation::Optimized); + return empty_program(pe.graph->uid(), pe.sources, pe.destinations, uses_optimized_flow(pe) && pe.source_allocation != SourceAllocation::Equal); } // The current state of a zero call: its records, its program and rows, every flag false; before diff --git a/src/forwarding.cpp b/src/forwarding.cpp index fa0416d..269b257 100644 --- a/src/forwarding.cpp +++ b/src/forwarding.cpp @@ -187,7 +187,14 @@ std::pair, Cost> masked_route(const Graph& return {out, min_route_cost(graph, *out, source, destinations)}; } +void source_weight_width(ForwardingView& v) noexcept { + U128 sum {}; + for (Amount w : v.source_weights()) sum = add(sum, U128 {0, static_cast(w)}); + v.wide_source_weights = sum.hi != 0 || sum.lo >= static_cast(kDomainLimit); +} + void finish_view(ForwardingView& v) { + source_weight_width(v); const ProgramData& p = *v.data; // The surviving entries per view head, ascending index. v.source_entry_offsets_.assign(v.source_indices_.size() + 1, 0); @@ -256,7 +263,10 @@ ForwardingView make_forwarding_view(const Graph& graph, std::shared_ptr a(k), b(k); + highest_averages(x, weights, a); + highest_averages(add(x, U128 {0, static_cast(v)}), weights, b); + // House monotonicity: every difference is nonnegative and at most v < 2^62. + for (std::size_t i = 0; i < k; ++i) out[i] = static_cast(sub(b[i], a[i]).lo); + return; + } // H(X + c W) = H(X) + c w (the divisor rule's thresholds shift by c), so only r = X mod W and // r + v enter: H(X + v) - H(X) = floor((r + v) / W) w + H((r + v) mod W) - H(r). Captured - // weights are a controller's solved supplies: W is its delivery, below the graph's capacity sum - // (< 2^62), so W, r + v and c w fit 64 bits. + // weights here have sum W < 2^62 (in particular every optimized controller's + // solved supplies), so W, r + v and c w fit 64 bits. Declared weights with a + // larger sum take the wide branch above; no narrowing of their sum is allowed. std::uint64_t W = 0; for (Amount w : weights) W += static_cast(w); if (W == 0) return; diff --git a/src/route_kernels.cpp b/src/route_kernels.cpp index 331c555..1c2a8b6 100644 --- a/src/route_kernels.cpp +++ b/src/route_kernels.cpp @@ -1,12 +1,13 @@ /* Apportionment and the placement kernels in units. T is a plan's total injection. - Every amount is an int64 number of units below 2^62: T is bounded by the view on the roots' + Every forwarded Amount is an int64 number of units below 2^62: T is bounded by the view on the roots' members (the graph's capacities sum below 2^62), each node's inflow by T, and each share by that inflow. Highest averages compares w_i/d_i and w_j/d_j through w_i*d_j and w_j*d_i (operands < 2^63, products < 2^126). The lower quota floor(I*w/W) uses a 128-bit product, with inflow I, weight w < 2^62 and the exact 128-bit weight sum W (explicit weights are each below 2^62, not their sum). + Cumulative source apportionment instead uses totals below 2^127 and 192-bit products. */ #include "netgraph/core/detail/route_kernels.hpp" @@ -37,38 +38,58 @@ bool before(std::uint64_t wi, std::uint64_t di, std::size_t i, std::uint64_t wj, return i < j; } -} // namespace +Amount quota(Amount total, Amount w, U128 sum) noexcept { + return static_cast(div_u128(mul_u64(static_cast(total), static_cast(w)), sum)); +} +U128 quota(U128 total, Amount w, U128 sum) noexcept { + return div_wide(mul_wide(total, static_cast(w)), sum); +} +Amount plus(Amount a, Amount b) noexcept { return a + b; } +U128 plus(U128 a, U128 b) noexcept { return add(a, b); } +Amount remainder(Amount a, Amount b) noexcept { return a - b; } +Amount remainder(U128 a, U128 b) noexcept { return static_cast(sub(a, b).lo); } +void award(Amount& a) noexcept { ++a; } +void award(U128& a) noexcept { a = add(a, U128 {0, 1}); } +bool next_before(Amount wi, Amount ai, std::size_t i, Amount wj, Amount aj, std::size_t j) noexcept { + return before(static_cast(wi), static_cast(ai) + 1, i, + static_cast(wj), static_cast(aj) + 1, j); +} +bool next_before(Amount wi, U128 ai, std::size_t i, Amount wj, U128 aj, std::size_t j) noexcept { + const auto left = mul_wide(add(aj, U128 {0, 1}), static_cast(wi)); + const auto right = mul_wide(add(ai, U128 {0, 1}), static_cast(wj)); + return left != right ? left > right : i < j; +} -void highest_averages(Amount total, std::span weights, std::span out) { +// One rule for both widths: only quota and priority arithmetic differ. The +// unassigned remainder is less than k, even for a cumulative 127-bit total. +template +void apportion(Share total, std::span weights, std::span out) { const std::size_t k = weights.size(); U128 wsum {}; for (Amount w : weights) wsum = add(wsum, U128 {0, static_cast(w)}); if (wsum == U128 {}) { // all-zero weights give nothing - std::fill(out.begin(), out.begin() + static_cast(k), 0); + std::fill(out.begin(), out.begin() + static_cast(k), Share {}); return; } - Amount given = 0; + Share given {}; for (std::size_t m = 0; m < k; ++m) { // Lower quota floor(total * w / W): exactly the quotients w / j >= W / total. - out[m] = static_cast(div_u128(mul_u64(static_cast(total), - static_cast(weights[m])), - wsum)); - given += out[m]; + out[m] = quota(total, weights[m], wsum); + given = plus(given, out[m]); } // Fewer than k (the positive weights' count) units are left; a zero weight's quotient 0 never // beats a positive one, so it gets none of them. - Amount left = total - given; + Amount left = remainder(total, given); if (left == 0) return; if (k <= 16) { while (left-- > 0) { std::size_t best = 0; for (std::size_t m = 1; m < k; ++m) { - if (before(static_cast(weights[m]), static_cast(out[m]) + 1, m, - static_cast(weights[best]), static_cast(out[best]) + 1, best)) { + if (next_before(weights[m], out[m], m, weights[best], out[best], best)) { best = m; } } - ++out[best]; + award(out[best]); } return; } @@ -76,17 +97,26 @@ void highest_averages(Amount total, std::span weights, std::span(weights[b]), static_cast(out[b]) + 1, b, - static_cast(weights[a]), static_cast(out[a]) + 1, a); + return next_before(weights[b], out[b], b, weights[a], out[a], a); }; std::make_heap(heap.begin(), heap.end(), later); while (left-- > 0) { std::pop_heap(heap.begin(), heap.end(), later); - ++out[heap.back()]; + award(out[heap.back()]); std::push_heap(heap.begin(), heap.end(), later); } } +} // namespace + +void highest_averages(Amount total, std::span weights, std::span out) { + apportion(total, weights, out); +} + +void highest_averages(U128 total, std::span weights, std::span out) { + apportion(total, weights, out); +} + void round_robin_increments(const Counter128& total, Amount v, std::span out) noexcept { const auto k = static_cast(out.size()); if (k == 0) return; diff --git a/tests/cpp/apply_actions_fault_tests.cpp b/tests/cpp/apply_actions_fault_tests.cpp index a24076e..9b4a97b 100644 --- a/tests/cpp/apply_actions_fault_tests.cpp +++ b/tests/cpp/apply_actions_fault_tests.cpp @@ -209,6 +209,29 @@ TEST(PolicyFaults, EveryAllocationOfASimultaneousListFailsAtomically) { EXPECT_GT(cyclic, 50); } +TEST(PolicyFaults, WeightedSourceListsPublishAllOwnersOrNone) { + const auto g=mixed_graph(); + CentralizedTE model(SourceAllocation::Weighted); + model.source_weights=std::make_shared>(std::vector{2,1,0,0,0,0,0,0}); + FlowLedger producer(g); + FlowPolicy p(producer,kS,kD,FlowPolicyConfig{model}); + const auto program=p.replace(6).program; + for(auto mode:{BatchMode::Ordered,BatchMode::Simultaneous})for(bool warm:{false,true}) { + const auto injected=sweep_list(g,"weighted list",[&](FlowLedger& ledger) { + ListScenario s; + for(int i=0;i<2;++i) { + FlowPolicyConfig cfg=mode==BatchMode::Ordered ? FlowPolicyConfig{model} : pinned_config(program); + s.policies.push_back(std::make_unique(ledger,kS,kD,cfg)); + if(warm)(void)s.policies.back()->replace(2); + s.actions.push_back(Replace{*s.policies.back(),6}); + } + s.mode=mode;return s; + }); + EXPECT_GT(injected,10); + if(::testing::Test::HasFailure())return; + } +} + // Both modes on a fresh thread, the scratch grown from a 3-node to a 3,000-node chain, each // allocation failing once; the retry on that thread equals the reference. TEST(PolicyFaults, ListScratchGrowthFailureLeavesNothingHalfGrown) { diff --git a/tests/cpp/concurrency_tests.cpp b/tests/cpp/concurrency_tests.cpp index 64841fd..4e10b6e 100644 --- a/tests/cpp/concurrency_tests.cpp +++ b/tests/cpp/concurrency_tests.cpp @@ -287,6 +287,27 @@ TEST(Concurrency, IndependentLedgersDoNotShareAGate) { EXPECT_EQ(result.get(), 3); } +TEST(Concurrency, WeightedSourceCallsSerializeAndDoNotShareAGateAcrossLedgers) { + const auto graph=std::make_shared(3,std::vector{0,1},std::vector{2,2}, + std::vector{10,10},std::vector{1,3},1.0); + CentralizedTE model(SourceAllocation::Weighted); + model.source_weights=std::make_shared>(std::vector{2,1,0}); + FlowLedger a(graph),b(graph); + FlowPolicy p(a,std::vector{0,1},std::vector{2},FlowPolicyConfig{model}); + FlowPolicy q(b,std::vector{0,1},std::vector{2},FlowPolicyConfig{model}); + { + const auto gate=LedgerAccess::lock(a); + auto result=std::async(std::launch::async,[&]{return q.place(3).call_delivered;}); + EXPECT_EQ(result.wait_for(5s),std::future_status::ready);EXPECT_EQ(result.get(),3); + } + std::vector> tasks; + for(int i=0;i<4;++i)tasks.push_back(std::async(std::launch::async,[&]{Amount sum=0;for(int j=0;j<10;++j)sum+=p.place(1).call_delivered;return sum;})); + Amount sum=0;for(auto& t:tasks)sum+=t.get(); + EXPECT_EQ(sum,15);EXPECT_EQ(p.delivered(),15); + const auto r=p.replace(15); + EXPECT_EQ(r.by_source[0].delivered,10);EXPECT_EQ(r.by_source[1].delivered,5); +} + TEST(Concurrency, ScalarAndListsDoNotLeaseTheConstructionCache) { const auto graph = one_link(); ShortestPathCache cache(*graph); diff --git a/tests/cpp/flow_policy_fault_tests.cpp b/tests/cpp/flow_policy_fault_tests.cpp index ac1027f..0b08520 100644 --- a/tests/cpp/flow_policy_fault_tests.cpp +++ b/tests/cpp/flow_policy_fault_tests.cpp @@ -122,6 +122,20 @@ std::vector modes(const Graph& g) { out.push_back({"global", global_config(), S, D}); // The equal source allocation of the controllers: the bisection's probe solves and the final solve. out.push_back({"global equal", {.routing = centralized(SourceAllocation::Equal)}, S, D}); + for (bool support : {false, true}) { + CentralizedTE model(SourceAllocation::Weighted); + model.source_weights = std::make_shared>(std::vector{2,1,0,0,0,0,0}); + if (support) model.support = all_edges(g); + out.push_back({support ? "weighted controller support" : "weighted controller", {.routing=model}, S, D}); + model.source_weights = std::make_shared>(static_cast(g.num_nodes()),0); + out.push_back({support ? "zero weighted controller support" : "zero weighted controller", {.routing=model}, S, D}); + } + { + CentralizedTE model(SourceAllocation::Weighted); + model.source_weights = std::make_shared>(static_cast(g.num_nodes()),kDomainLimit-1); + const auto program = evaluate_demand(g,S,D,EvaluationOptions{FlowPolicyConfig{model}}).program; + out.push_back({"wide weighted captured replay", {.routing=Pinned{program},.admission=Admission::Lossy},S,D,Amount{6}}); + } out.push_back({"shortest_paths maxflow equal", shortest(RouteAllocation::Optimized, Admission::Lossless, [](ShortestPaths& sp) { sp.source_allocation = SourceAllocation::Equal; }), @@ -1159,6 +1173,61 @@ TEST(PolicyFaults, ControllerScratchGrowthFailureLeavesNothingHalfGrown) { expect_scratch_growth_failure_leaves_nothing_half_grown("global support", [](const Graph& g) { return FlowPolicyConfig {.routing = centralized(SourceAllocation::Optimized, all_edges(g))}; }); + for (bool support : {false,true}) { + expect_scratch_growth_failure_leaves_nothing_half_grown("weighted controller", [support](const Graph& g) { + CentralizedTE model(SourceAllocation::Weighted); + model.source_weights=std::make_shared>(static_cast(g.num_nodes()),kDomainLimit-1); + if(support)model.support=all_edges(g); + return FlowPolicyConfig{model}; + }); + } +} + +TEST(PolicyFaults, WeightedSourceHeapAndWideReplayFailAtomically) { + std::vector edges;std::vector heads; + for(int i=0;i<17;++i){edges.push_back({i,17,5,1});heads.push_back(i);} + const auto g=std::make_shared(make_graph(18,edges)); + const auto model=[&] { + CentralizedTE m(SourceAllocation::Weighted); + m.source_weights=std::make_shared>(18,kDomainLimit-1); + return FlowPolicyConfig{m}; + }; + const auto program=evaluate_demand(*g,heads,std::vector{17},EvaluationOptions{model()}).program; + for(bool replay:{false,true})for(bool support:{false,true})for(int stage:{0,1,2}) { + const auto setup=[&](FlowLedger& ledger) { + auto cfg=model(); + if(support)std::get(cfg.routing).support=all_edges(*g); + if(replay)cfg=FlowPolicyConfig{Pinned{program},Admission::Lossy}; + auto p=std::make_shared(ledger,heads,std::vector{17},cfg); + if(stage!=0){(void)p->place(1);if(stage==1)p->remove();} + auto* raw=p.get();return Staged{p,raw}; + }; + EXPECT_GT(sweep_placement(g,"weighted heap/wide cold removed live",setup,[&](FlowPolicy& p){return p.place(stage==2 ? 15 : 16,{true,true,true,true,true});}),0); + if(::testing::Test::HasFailure())return; + } + // Finite16 over17 equal weights forces a heap remainder on each evaluator worker. + EvaluationOptions options{model(),nullptr,nullptr,{true,true,true,true,true},{},Amount{16}}; + for(int workers:{2,4})for(bool warm:{false,true}) { + const std::vector,std::vector>> pairs(static_cast(2*workers),{heads,{17}}); + const auto expected=evaluate_pairs(*g,pairs,options,{},workers); + long failures=0; + for(long at=0;;++at) { + const auto live=g_live.load();bool failed=false; + std::thread attempt([&] { + if(warm)(void)evaluate_pairs(*g,pairs,options,{},workers); + std::vector got; + failed=fails_in_workers_at(at,[&]{got=evaluate_pairs(*g,pairs,options,{},workers);}); + if(failed){EXPECT_TRUE(got.empty());got=evaluate_pairs(*g,pairs,options,{},workers);} + ASSERT_EQ(got.size(),expected.size()); + for(std::size_t i=0;i(c.routing) && - std::get(c.routing).source_allocation != SourceAllocation::Equal; + std::get(c.routing).source_allocation == SourceAllocation::Optimized; const bool pinned = std::holds_alternative(c.routing); const std::vector cs = pinned ? std::vector {0} : s; const std::vector ct = pinned ? std::vector {t0} : t; diff --git a/tests/cpp/public_names_tests.cpp b/tests/cpp/public_names_tests.cpp index 1489346..0d843b4 100644 --- a/tests/cpp/public_names_tests.cpp +++ b/tests/cpp/public_names_tests.cpp @@ -136,7 +136,7 @@ TEST(PublicNames, Enumerations) { static_assert(declared_in_order({RouteTieBreak::FewerHops, RouteTieBreak::HigherCapacity, RouteTieBreak::HigherAvailableCapacity, RouteTieBreak::HigherHeadroom})); static_assert(declared_in_order({RouteAllocation::Equal, RouteAllocation::Weighted, RouteAllocation::Optimized})); - static_assert(declared_in_order({SourceAllocation::Equal, SourceAllocation::Optimized})); + static_assert(declared_in_order({SourceAllocation::Equal, SourceAllocation::Optimized, SourceAllocation::Weighted})); static_assert(declared_in_order({WeightBasis::Capacity, WeightBasis::Explicit, WeightBasis::ResidualSnapshot})); static_assert(declared_in_order({Admission::Lossless, Admission::Lossy})); static_assert(declared_in_order({Direction::Forward, Direction::Reverse})); diff --git a/tests/cpp/weighted_source_tests.cpp b/tests/cpp/weighted_source_tests.cpp new file mode 100644 index 0000000..d94b2d0 --- /dev/null +++ b/tests/cpp/weighted_source_tests.cpp @@ -0,0 +1,534 @@ +// Prescribed source quotas and replay. Expected examples and small exhaustive +// flows are independent of production apportionment and flow-core helpers. +#include + +#include +#include +#include + +#include "netgraph/core/detail/forwarding.hpp" +#include "netgraph/core/detail/int128.hpp" +#include "netgraph/core/detail/policy_engine.hpp" +#include "netgraph/core/evaluators.hpp" +#include "state_comparators.hpp" +#include "test_utils.hpp" + +using namespace netgraph::core; +using namespace netgraph::core::test; + +namespace { +const OutputOptions all {true, true, true, true, true}; +FlowPolicyConfig weighted(std::vector w, std::shared_ptr support = {}) { + CentralizedTE model(SourceAllocation::Weighted); + model.source_weights = std::make_shared>(std::move(w)); + model.support = std::move(support); + return {.routing = std::move(model)}; +} +std::shared_ptr witness(bool coarse = false) { + const Amount q = coarse ? 1 : 8; + return std::make_shared(make_graph(6, {{0,2,2*q,1}, {1,2,q,1}, {1,3,q,2}, + {2,3,q,1}, {2,4,q,1}, {3,5,q,1}, {4,5,q,1}})); +} +std::vector sources(const PlacementResult& r) { + std::vector out; + for (const auto& row : r.by_source) out.push_back(row.delivered); + return out; +} +std::string refused(const std::function& call) { + try { call(); } catch (const std::invalid_argument& e) { return e.what(); } + return "no error"; +} +// One-unit-at-a-time priority oracle for small totals; test integer arithmetic +// is independent of the library's portable multiplication/division. +std::vector sequential(Amount t, const std::vector& w) { + std::vector a(w.size()); + if (std::none_of(w.begin(), w.end(), [](Amount x) { return x != 0; })) return a; + for (Amount unit = 0; unit < t; ++unit) { + std::size_t best = 0; + for (std::size_t j = 1; j < w.size(); ++j) { + if (UInt128(w[j]) * UInt128(a[best] + 1) > UInt128(w[best]) * UInt128(a[j] + 1)) best = j; + } + ++a[best]; + } + return a; +} +} // namespace + +TEST(WeightedSources, WitnessAndDeclaredReplayOnDenseAndSupportPaths) { + for (bool support : {false, true}) { + const auto g = witness(); + const auto cfg = weighted({2,1,0,0,0,0}, support ? dag_of(*g, {0,1,2,3,4,5,6}) : nullptr); + FlowLedger ledger(g); + FlowPolicy p(ledger, v({0,1}), v({5}), cfg); + const auto before = ledger_state(ledger); + const auto r = p.evaluate(std::nullopt, {}, all); + expect_same(ledger_state(ledger), before, "evaluate is read only"); + EXPECT_FALSE(p.program()); + expect_same(p.replace(std::nullopt, {}, all), r, "evaluate/replace"); + EXPECT_EQ(r.delivered, 16); + EXPECT_FALSE(r.call_undelivered); + EXPECT_EQ(r.by_tunnel, (std::vector{{0,0,TunnelStatus::Up,{0,3},3,{}}, + {1,0,TunnelStatus::Up,{0,8},8,{}},{2,1,TunnelStatus::Up,{0,5},5,{}}})); + EXPECT_TRUE(r.routes_changed); EXPECT_TRUE(r.weights_changed); EXPECT_FALSE(r.reservations_changed); + EXPECT_EQ(sources(r), (std::vector{11,5})); + EXPECT_EQ(r.total_cost, (Counter128{0,48})); + EXPECT_EQ(r.edge_flows, (std::optional>{{11,0,5,3,8,8,8}})); + ASSERT_TRUE(r.program->source_weights()); + EXPECT_EQ(*r.program->source_weights(), (std::vector>{{0,2},{1,1}})); + ASSERT_EQ(r.program->tunnels().size(), 3U); + const std::vector> paths {{0,3,5},{0,4,6},{2,5}}; + const Amount amounts[] = {3,8,5}; + for (std::size_t i = 0; i < paths.size(); ++i) { + const auto& t = r.program->tunnels()[i]; + EXPECT_EQ(t.entry_id, static_cast(i)); + EXPECT_EQ(t.head, i == 2 ? 1 : 0); + EXPECT_EQ(t.edges, paths[i]); + EXPECT_EQ(t.weight, amounts[i]); + EXPECT_EQ(t.path_cost, 3); + } + EXPECT_FALSE(r.plan); EXPECT_FALSE(r.min_cut); EXPECT_FALSE(r.marginal_cost_curve); + EXPECT_FALSE(r.offered); EXPECT_FALSE(r.unadmitted); + EXPECT_EQ(r.source_drops, (Counter128{})); EXPECT_TRUE(r.edge_drops.empty()); + EXPECT_EQ(r.edge_reservations, (std::optional>(std::vector(7,0)))); + EXPECT_FALSE(detail::PolicyAccess::engine(p).static_preparation); + EXPECT_FALSE(detail::PolicyAccess::engine(p).kept_program); + for (Admission admission : {Admission::Lossless, Admission::Lossy}) { + FlowLedger replay(g); + FlowPolicy q(replay, v({0,1}), v({5}), {.routing=Pinned{r.program}, .admission=admission}); + const auto at15 = q.replace(15, {}, all); + EXPECT_EQ(sources(at15), (std::vector{10,5})); + EXPECT_EQ(at15.edge_flows, (std::optional>{{10,0,5,3,7,8,7}})); + EXPECT_EQ(at15.termination, Termination::Complete); + EXPECT_EQ(q.replace(16).delivered, 16); + EXPECT_EQ(refused([&] { (void)q.forward(15); }), "Pinned forwards with replace"); + } + const auto forwarded=p.forward(15); + EXPECT_EQ(sources(forwarded), (std::vector{10,5})); + EXPECT_FALSE(forwarded.routes_changed);EXPECT_FALSE(forwarded.weights_changed);EXPECT_FALSE(forwarded.reservations_changed); + expect_balanced(ledger, "controller replay"); + } +} + +TEST(WeightedSources, CoarsePositiveWeightWithoutAPathKeepsItsShare) { + const auto g = witness(true); + FlowLedger ledger(g); + FlowPolicy p(ledger, v({0,1}), v({5}), weighted({2,1,0,0,0,0})); + const auto r = p.replace(std::nullopt, {}, all); + EXPECT_EQ(r.delivered, 2); EXPECT_EQ(r.total_cost, (Counter128{0,6})); + EXPECT_EQ(sources(r), (std::vector{2,0})); + EXPECT_EQ(r.edge_flows, (std::optional>{{2,0,0,1,1,1,1}})); + ASSERT_TRUE(r.program->source_weights()); + EXPECT_EQ(*r.program->source_weights(), (std::vector>{{0,2},{1,1}})); + ASSERT_EQ(r.program->tunnels().size(), 2U); + for (const auto& t : r.program->tunnels()) { EXPECT_EQ(t.head,0); EXPECT_EQ(t.weight,1); } + for (Admission admission : {Admission::Lossless, Admission::Lossy}) { + FlowLedger replay(g); + FlowPolicy q(replay, v({0,1}), v({5}), {.routing=Pinned{r.program}, .admission=admission}); + const auto at3 = q.replace(3); + EXPECT_EQ(at3.delivered, 2); + EXPECT_EQ(at3.source_drops, (Counter128{0,admission==Admission::Lossy ? 1U : 0U})); + EXPECT_EQ(at3.termination, admission==Admission::Lossy ? Termination::Complete : Termination::Exhausted); + } +} + +TEST(WeightedSources, RosterZeroWeightsAndEmptyReplayKeepDifferentOutcomes) { + const auto g = std::make_shared(make_graph(4, {{0,3,4,1},{1,3,4,1},{2,3,4,1}})); + for (bool masked : {false,true}) { + const auto mask = g->eligibility(masked ? v({2}) : v({}), {}); + FlowLedger ledger(g); + FlowPolicy p(ledger, v({2,0,1,2}), v({3}), weighted({1,1,2,0}), &mask); + const auto r = p.replace(std::nullopt, {}, all); + EXPECT_EQ(r.delivered,8); EXPECT_EQ(r.total_cost,(Counter128{0,8})); + EXPECT_EQ(sources(r), (masked ? std::vector{4,4,0} : std::vector{2,2,4})); + } + for (bool support : {false,true}) for (bool empty : {false,true}) { + const auto mask = g->eligibility(empty ? v({0,1,2}) : v({2}), {}); + FlowLedger ledger(g); + FlowPolicy p(ledger, v({0,1,2}), v({3}), weighted({0,0,5,0}, support ? dag_of(*g,{0,1,2}) : nullptr), &mask); + const auto r = p.replace(6, {}, all); + EXPECT_EQ(r.termination,empty ? Termination::NoRoute : Termination::NoActiveWeight); + EXPECT_EQ(r.delivered,0); EXPECT_EQ(r.unadmitted,(Counter128{0,6})); + EXPECT_EQ(sources(r),(std::vector{0,0,0})); + ASSERT_TRUE(r.program->source_weights()); + EXPECT_EQ(r.program->source_weights()->size(),empty ? 0U : 2U); + EXPECT_TRUE(r.program->tunnels().empty()); + const auto unlimited=p.evaluate(std::nullopt); + EXPECT_EQ(unlimited.termination,empty ? Termination::NoRoute : Termination::NoActiveWeight); + EXPECT_FALSE(unlimited.requested);EXPECT_FALSE(unlimited.unadmitted);EXPECT_FALSE(unlimited.call_undelivered); + EXPECT_EQ(p.forward(6).termination,empty ? Termination::NoRoute : Termination::Exhausted); + for (Admission admission : {Admission::Lossless,Admission::Lossy}) { + FlowLedger replay(g); + FlowPolicy q(replay,v({0,1,2}),v({3}),{.routing=Pinned{r.program},.admission=admission},&mask); + EXPECT_EQ(q.replace(0).termination,Termination::Complete); + EXPECT_EQ(q.evaluate(6).termination,empty ? Termination::NoRoute : admission==Admission::Lossy ? Termination::Complete : Termination::Exhausted); + const auto at6=q.place(6); + EXPECT_EQ(at6.source_drops,(Counter128{0,admission==Admission::Lossy ? 6U : 0U})); + EXPECT_EQ(at6.termination,empty ? Termination::NoRoute : admission==Admission::Lossy ? Termination::Complete : Termination::Exhausted); + EXPECT_EQ(refused([&]{(void)q.forward(6);}),"Pinned forwards with replace"); + } + } +} + +TEST(WeightedSources, EqualPositiveWeightsAndZeroWeightHead) { + const auto g=std::make_shared(make_graph(4,{{0,3,2,1},{1,2,10,1},{2,3,10,2}})); + auto r=evaluate_demand(*g,v({0,1}),v({3}),EvaluationOptions{weighted({7,7,0,0}),nullptr,nullptr,all,{},Amount{12}}); + EXPECT_EQ(r.delivered,4); EXPECT_EQ(r.total_cost,(Counter128{0,8})); + EXPECT_EQ(r.edge_flows,(std::optional>{{2,2,2}})); + EXPECT_EQ(sources(r),(std::vector{2,2})); + const auto h=std::make_shared(make_graph(3,{{0,2,5,1},{1,2,5,1}})); + r=evaluate_demand(*h,v({0,1}),v({2}),EvaluationOptions{weighted({0,3,0}),nullptr,nullptr,all}); + EXPECT_EQ(r.delivered,5); EXPECT_EQ(r.total_cost,(Counter128{0,5})); + EXPECT_EQ(sources(r),(std::vector{0,5})); + EXPECT_EQ(r.edge_flows,(std::optional>{{0,5}})); + ASSERT_TRUE(r.program->source_weights()); + EXPECT_EQ(*r.program->source_weights(),(std::vector>{{0,0},{1,3}})); +} + +TEST(WeightedSources, RefusalReliefUsesDeliveredRatherThanRequestedInScalarAndOrdered) { + const auto g=std::make_shared(make_graph(4,{{0,2,10,1},{1,2,10,1},{2,3,10,1}})); + for(bool ordered:{false,true}) { + FlowLedger ledger(g); + FlowPolicy other(ledger,v({2}),v({3}),{}),p(ledger,v({0,1}),v({3}),weighted({2,1,0,0})); + (void)other.replace(8); + const auto call=[&](Amount offer) { + if(!ordered)return p.place(offer,all); + const std::vector actions{Place{p,offer}}; + return apply_actions(ledger,actions,BatchMode::Ordered,all).front(); + }; + const auto initial=call(5); + EXPECT_EQ(initial.delivered,2); EXPECT_EQ(initial.call_undelivered,3); + EXPECT_EQ(initial.by_tunnel,(std::vector{{0,0,TunnelStatus::Up,{0,2},2,{}}})); + (void)other.replace(5); + const auto r=call(1); + EXPECT_EQ(r.delivered,3); EXPECT_EQ(r.call_delivered,1); EXPECT_EQ(r.total_cost,(Counter128{0,6})); + EXPECT_EQ(r.requested,(Counter128{0,6})); EXPECT_EQ(r.unadmitted,(Counter128{0,3})); + EXPECT_EQ(sources(r),(std::vector{2,1})); + EXPECT_EQ(r.call_undelivered,0); + EXPECT_EQ(r.by_tunnel,(std::vector{{0,0,TunnelStatus::Up,{0,2},2,{}},{1,1,TunnelStatus::Up,{0,1},1,{}}})); + EXPECT_EQ(r.edge_flows,(std::optional>{{2,1,3}})); + const auto state=epoch(p); (void)p.evaluate(4); expect_same(epoch(p),state,"evaluate after refusal"); + p.remove(); EXPECT_FALSE(p.program()); + } +} + +TEST(WeightedSources, SimultaneousAwardsFollowCreationOrderInBothActionOrders) { + const auto g=std::make_shared(make_graph(2,{{0,1,3,1}})); + const auto program=evaluate_demand(*g,v({0}),v({1}),EvaluationOptions{weighted({1,0})}).program; + for(bool reverse:{false,true}) for(bool reverse_creation:{false,true}) { + FlowLedger ledger(g); + FlowPolicy first(ledger,v({0}),v({1}),{.routing=Pinned{program},.admission=Admission::Lossy}); + FlowPolicy second(ledger,v({0}),v({1}),{.routing=Pinned{program},.admission=Admission::Lossy}); + FlowPolicy* a=reverse_creation ? &second : &first; + FlowPolicy* b=reverse_creation ? &first : &second; + if(reverse)std::swap(a,b); + const std::vector actions{Replace{*a,3},Replace{*b,3}}; + const auto r=apply_actions(ledger,actions,BatchMode::Simultaneous,all); + EXPECT_EQ(r[0].delivered,a==&first ? 2 : 1); EXPECT_EQ(r[1].delivered,b==&first ? 2 : 1); + EXPECT_EQ(first.delivered(),2); EXPECT_EQ(second.delivered(),1); + first.remove(); second.remove(); + const auto ordered=apply_actions(ledger,actions,BatchMode::Ordered,all); + EXPECT_EQ(ordered[0].delivered,3); EXPECT_EQ(ordered[1].delivered,0); + } +} + +TEST(WeightedSources, VectorMatrixAndValidationOrderHaveSuccessfulNeighbours) { + const auto g=std::make_shared(make_graph(3,{{0,2,2,1},{1,2,2,1}})); + const auto check=[&](FlowPolicyConfig cfg) {FlowLedger ledger(g);return refused([&]{FlowPolicy p(ledger,v({0}),v({2}),cfg);});}; + auto cfg=weighted({1,0,0}); + EXPECT_EQ(check(cfg),"no error"); + std::get(cfg.routing).tunnel_count=TunnelCount{1}; + EXPECT_EQ(check(cfg),"source_allocation=WEIGHTED requires CentralizedTE without tunnel_count"); + cfg.routing=CentralizedTE{SourceAllocation::Weighted}; + EXPECT_EQ(check(cfg),"source_allocation=WEIGHTED requires source_weights"); + cfg.admission=Admission::Lossy; + EXPECT_EQ(check(cfg),"CentralizedTE without tunnel_count requires admission=LOSSLESS"); + for(auto allocation:{RouteAllocation::Equal,RouteAllocation::Weighted,RouteAllocation::Optimized}) { + ShortestPaths sp;sp.allocation=allocation;sp.source_allocation=SourceAllocation::Weighted; + EXPECT_EQ(check({sp}),"source_allocation=WEIGHTED requires CentralizedTE without tunnel_count"); + } + for(auto allocation:{SourceAllocation::Equal,SourceAllocation::Optimized}) { + cfg=weighted({1,0,0}); std::get(cfg.routing).source_allocation=allocation; + EXPECT_EQ(check(cfg),"source_weights require source_allocation=WEIGHTED"); + } + for(const auto& w:std::vector>{{1,0},{-1,0},{0,kDomainLimit},{1,0,0,kDomainLimit}}) { + EXPECT_EQ(check(weighted(w)),"source_weights: expected 3 entries"); + EXPECT_EQ(refused([&]{(void)evaluate_demand(*g,v({0}),v({2}),EvaluationOptions{weighted(w),nullptr,nullptr,all,{},Amount{0}});}), + "source_weights: expected 3 entries"); + } + for(Amount bad:{Amount{-1},kDomainLimit}) EXPECT_EQ(check(weighted({1,0,bad})),"source_weights[2] must be an integer in [0, 2^62)"); + EXPECT_EQ(check(weighted({kDomainLimit-1,0,0})),"no error"); + cfg=weighted({1,0}); + ShortestPathCache cache(*g);FlowLedger ledger(g); + EXPECT_EQ(refused([&]{FlowPolicy p(ledger,v({0}),v({2}),cfg,nullptr,&cache);}),"CentralizedTE does not use ShortestPathCache"); +} + +TEST(WeightedSources, FailureStudyRecomputesUnusedEdgesAndEveryWorkerMatches) { + const auto g=std::make_shared(make_graph(3,{{0,2,0,1},{1,2,10,1}})); + for(int workers:{1,2,4}) { + const EvaluationOptions options{weighted({2,1,0}),nullptr,nullptr,all}; + const auto result=evaluate_edge_failures(*g,v({0,1}),v({2}),options,workers); + EXPECT_EQ(result.baseline.delivered,0);ASSERT_EQ(result.entries.size(),2U); + EXPECT_EQ(result.entries[0].edge,0);EXPECT_EQ(result.entries[0].delivery_reduction,-10); + EXPECT_EQ(result.entries[1].edge,1);EXPECT_EQ(result.entries[1].delivery_reduction,0); + const std::vector,std::vector>> pairs(5,{{1,0,1},{2}}); + const auto batch=evaluate_pairs(*g,pairs,options,{},workers); + for(const auto& r:batch)expect_same(r,result.baseline,"pair-local source weights"); + } +} + +TEST(WeightedSources, SmallFlowEnumerationConfirmsThePrescribedMaximumAndMinimumCost) { + EXPECT_EQ(sequential(2,{2,1}),(std::vector{2,0})); + EXPECT_EQ(sequential(50,{100,1,1,1}),(std::vector{50,0,0,0})); + { + const auto g=make_graph(3,{{0,2,2,9},{1,2,10,1}}); + const auto r=evaluate_demand(g,v({0,1}),v({2}),EvaluationOptions{weighted({2,1,0})}); + EXPECT_EQ(r.delivered,3);EXPECT_EQ(r.total_cost,(Counter128{0,19}));EXPECT_EQ(sources(r),(std::vector{2,1})); + const auto h=make_graph(3,{{0,1,2,1},{0,2,2,5},{1,2,2,1}}); + const auto cheap=evaluate_demand(h,v({0}),v({2}),EvaluationOptions{weighted({1,0,0}),nullptr,nullptr,all,{},Amount{2}}); + EXPECT_EQ(cheap.delivered,2);EXPECT_EQ(cheap.total_cost,(Counter128{0,4})); + EXPECT_EQ(cheap.edge_flows,(std::optional>{{2,0,2}})); + } + std::mt19937 rng(20261022); + for(int trial=0;trial<80;++trial) { + const std::vector w{static_cast(rng()%4),static_cast(rng()%4)}; + const auto g=std::make_shared(make_graph(4,{{0,2,static_cast(rng()%3),1}, + {0,3,static_cast(rng()%3),7},{1,2,static_cast(rng()%3),3}, + {1,3,static_cast(rng()%3),1},{2,3,static_cast(rng()%3),1}})); + const auto u=g->edge_sources(),d=g->edge_destinations();const auto cap=g->edge_capacity_units(),cost=g->edge_costs(); + std::vector flow(5);std::map best{{0,0}}; + std::function enumerate=[&](std::size_t e) { + if(esecond=std::min(it->second,c); + }; + enumerate(0); + const Amount maximum=best.rbegin()->first; + for(Amount offer:{Amount{0},Amount{1},Amount{9}}) { + const auto r=evaluate_demand(*g,v({0,1}),v({3}),EvaluationOptions{weighted({w[0],w[1],0,0}),nullptr,nullptr,all,{},offer}); + const Amount t=std::min(offer,maximum); + EXPECT_EQ(r.delivered,t);EXPECT_EQ(r.total_cost,(Counter128{0,static_cast(best.at(t))})); + EXPECT_EQ(sources(r),sequential(t,w)); + Amount bal[4]={0,0,0,0}; + for(std::size_t e=0;e weights(static_cast(count)); + for(int i=0;i(i)]=kDomainLimit-1-(unequal ? i : 0); + for(detail::U128 x:{detail::U128{0,16},detail::U128{1,1},detail::U128{(std::uint64_t{1}<<62)+1,3}}) { + std::vector a(weights.size());detail::highest_averages(x,weights,a); + UInt128 sum=0;for(auto z:a)sum+=test_value(z);EXPECT_EQ(sum,test_value(x)); + for(std::size_t i=0;i0||(cmp==0&&i<=j)); + } + } + std::vector edges; + std::vector heads; + for(int i=0;i(make_graph(count+1,edges)); + auto declared=weights;declared.push_back(0); + const auto program=evaluate_demand(*g,heads,v({count}),EvaluationOptions{weighted(declared)}).program; + const auto view=detail::make_forwarding_view(*g,program,nullptr,v({count}),nullptr); + for(Counter128 x:{Counter128{1,1},Counter128{(std::uint64_t{1}<<62)+1,3}}) { + std::vector delta(weights.size());detail::source_offer_increments(view,x,17,delta); + EXPECT_EQ(std::accumulate(delta.begin(),delta.end(),Amount{0}),17); + if(count==5&&!unequal&&x.hi==1)EXPECT_EQ(delta,(std::vector{3,3,4,4,3})); + if(count==5&&unequal&&x.hi>1)EXPECT_EQ(delta,(std::vector{4,3,3,4,3})); + } + FlowLedger ledger(g); + FlowPolicy p(ledger,heads,v({count}),{.routing=Pinned{program},.admission=Admission::Lossy}); + UInt128 total=0; + for(Amount offer:{kDomainLimit-1,kDomainLimit-1,kDomainLimit-1,Amount{7},kDomainLimit-1,Amount{5},Amount{17}}) { + const auto r=p.place(offer); + total+=UInt128(offer); + ASSERT_TRUE(r.requested); + EXPECT_EQ((UInt128(r.requested->hi)<<64)|UInt128(r.requested->lo),total); + UInt128 offered=0;for(const auto& row:r.by_source){ASSERT_TRUE(row.offered);offered+=(UInt128(row.offered->hi)<<64)|UInt128(row.offered->lo);} + EXPECT_EQ(offered,total); + } + } +} + +TEST(WeightedSources, WideCostKeepsBothWordsAndSharedInputOwnership) { + const Amount m=kDomainLimit-1; + const auto g=std::make_shared(make_graph(2,{{0,1,m,m}})); + auto owner=std::make_shared>(std::vector{m,0}); + std::weak_ptr> weak=owner; + CentralizedTE cfg(SourceAllocation::Weighted);cfg.source_weights=owner; + FlowLedger ledger(g);std::optional p; + p.emplace(ledger,v({0}),v({1}),FlowPolicyConfig{cfg}); + cfg.source_weights.reset();owner.reset();ASSERT_FALSE(weak.expired()); + const auto r=p->replace(m,{},all); + const UInt128 square=UInt128(m)*UInt128(m); + ASSERT_TRUE(r.total_cost); + EXPECT_EQ((UInt128(r.total_cost->hi)<<64)|UInt128(r.total_cost->lo),square); + EXPECT_EQ(r.delivered,m);EXPECT_EQ(sources(r),(std::vector{m})); + auto& requested=detail::PolicyAccess::engine(*p).epoch.requested; + requested=Counter128{(std::uint64_t{1}<<63)-1,std::numeric_limits::max()}; + const auto before=ledger_state(ledger);const auto old=epoch(*p); + EXPECT_EQ(refused([&]{(void)p->place(1);}),"requested limit exceeded"); + expect_same(ledger_state(ledger),before,"counter limit");expect_same(epoch(*p),old,"counter limit"); + p.reset();EXPECT_TRUE(weak.expired()); +} + +TEST(WeightedSources, MasksChangeTheRosterButBlackHolesKeepDeclaredShares) { + const auto g=std::make_shared(make_graph(3,{{0,2,10,1},{1,2,10,1}})); + const auto program=evaluate_demand(*g,v({0,1}),v({2}),EvaluationOptions{weighted({2,1,0}),nullptr,nullptr,{}, {},Amount{3}}).program; + const auto mask=g->eligibility(v({0}),{}); + FlowLedger a(g),b(g); + FlowPolicy repaired(a,v({0,1}),v({2}),{.routing=Pinned{program},.admission=Admission::Lossy},&mask); + FlowPolicy stale(b,v({0,1}),v({2}),{.routing=Pinned{program,std::make_shared(mask)},.admission=Admission::Lossy}); + EXPECT_EQ(sources(repaired.replace(3)),(std::vector{0,3})); + const auto r=stale.replace(3); + EXPECT_EQ(sources(r),(std::vector{0,1})); + EXPECT_EQ(r.source_drops,(Counter128{0,2})); + const auto supported=evaluate_demand(*g,v({0,1}),v({2}),EvaluationOptions{weighted({2,1,0},dag_of(*g,{1})),nullptr,nullptr,all}); + EXPECT_EQ(sources(supported),(std::vector{0,10})); + EXPECT_EQ(supported.edge_flows,(std::optional>{{0,10}})); +} + +TEST(WeightedSources, ZeroInjectionChangesNoOtherLossOrForwardingStructure) { + const auto g=witness(); + const auto empty=evaluate_demand(*g,v({0,1}),v({5}),EvaluationOptions{weighted({0,0,0,0,0,0})}).program; + const auto positive=evaluate_demand(*g,v({0,1}),v({5}),EvaluationOptions{weighted({2,1,0,0,0,0})}).program; + const auto dag=dag_of(*g,{0,1,2,3,4,5,6}); + const auto pooled=ForwardingProgram::from_dag(*g,v({0,1}),v({5}),dag); + const std::vector definitions{{0,dag,1},{1,dag,1}}; + const auto split=ForwardingProgram::from_routes(*g,v({0,1}),v({5}),definitions); + const std::vector models{Pinned{positive},ShortestPaths{},Pinned{pooled},Pinned{split}}; + for(const auto& model:models)for(Amount zero_offer:{Amount{0},Amount{7}}) { + FlowLedger ledger(g); + FlowPolicy p(ledger,v({0,1}),v({5}),FlowPolicyConfig{model,Admission::Lossy}); + FlowPolicy zero(ledger,v({0,1}),v({5}),{.routing=Pinned{empty},.admission=Admission::Lossy}); + const std::vector baseline{Replace{p,19}}; + const auto want=apply_actions(ledger,baseline,BatchMode::Simultaneous,all).front(); +#if NETGRAPH_CORE_PRIVATE_HOOKS + const auto old=detail::thread_lossy_counters(); +#endif + p.remove(); + const std::vector with_zero{Replace{zero,zero_offer},Replace{p,19}}; + const auto actual=apply_actions(ledger,with_zero,BatchMode::Simultaneous,all); + expect_same(actual[1],want,"zero source injection"); +#if NETGRAPH_CORE_PRIVATE_HOOKS + const auto& now=detail::thread_lossy_counters(); + EXPECT_EQ(now.groups,old.groups);EXPECT_EQ(now.rounds,old.rounds);EXPECT_EQ(now.barriers,old.barriers); + EXPECT_EQ(now.dependencies,old.dependencies);EXPECT_EQ(now.event_structures,old.event_structures); +#endif + } +} + +TEST(WeightedSources, TransitThroughAnotherSourceIsNotItsInjection) { + const auto g=std::make_shared(make_graph(3,{{0,1,5,1},{1,2,10,1}})); + FlowLedger ledger(g);FlowPolicy p(ledger,v({0,1}),v({2}),weighted({1,1,0})); + const auto r=p.replace(std::nullopt,{},all); + EXPECT_EQ(r.delivered,10);EXPECT_EQ(r.total_cost,(Counter128{0,15})); + EXPECT_EQ(sources(r),(std::vector{5,5})); + EXPECT_EQ(r.edge_flows,(std::optional>{{5,10}})); + const auto records=p.records();ASSERT_EQ(records.size(),2U); + EXPECT_EQ(records[0].delivered,5);EXPECT_EQ(records[1].delivered,5); +} + +TEST(WeightedSources, LiveTunnelRowsAndUndeliveredAreExactAcrossReaders) { + const auto g=std::make_shared(make_graph(2,{{0,1,5,1}})); + const auto cfg=weighted({1,0}); + const auto check=[](const PlacementResult& r,Amount offer) { + const Amount carried=std::min(offer,Amount{5}); + const Counter128 amount{0,static_cast(carried)}; + EXPECT_EQ(r.call_delivered,carried);EXPECT_EQ(r.call_undelivered,offer-carried); + EXPECT_EQ(r.delivery_delta,carried);EXPECT_TRUE(r.call_edge_drops.empty());EXPECT_EQ(r.call_source_drops,0); + EXPECT_EQ(r.termination,offer<=5 ? Termination::Complete : Termination::Exhausted); + EXPECT_TRUE(r.routes_changed);EXPECT_TRUE(r.weights_changed);EXPECT_FALSE(r.reservations_changed); + ASSERT_TRUE(r.program);EXPECT_FALSE(r.plan);EXPECT_FALSE(r.offered); + EXPECT_EQ(r.requested,(Counter128{0,static_cast(offer)})); + EXPECT_EQ(r.admitted,amount);EXPECT_EQ(r.delivered,carried); + EXPECT_EQ(r.unadmitted,(Counter128{0,static_cast(offer-carried)})); + EXPECT_EQ(r.source_drops,(Counter128{}));EXPECT_TRUE(r.edge_drops.empty());EXPECT_EQ(r.total_cost,amount); + EXPECT_EQ(r.by_source,(std::vector{{0,{},amount,carried,{},{}}})); + EXPECT_FALSE(r.min_cut);EXPECT_FALSE(r.marginal_cost_curve); + EXPECT_EQ(r.edge_flows,(std::optional>{{carried}})); + EXPECT_EQ(r.residual,(std::optional>{{5-carried}})); + EXPECT_EQ(r.edge_reservations,(std::optional>{{0}})); + EXPECT_EQ(r.saturated_boundary_edges,(std::optional>{carried==5 ? v({0}) : v({})})); + EXPECT_EQ(r.by_tunnel,(std::vector{{0,0,TunnelStatus::Up,{0,static_cast(carried)},carried,{}}})); + }; + for(Amount offer:{Amount{3},Amount{7}}) { + for(int operation=0;operation<3;++operation)for(bool ordered:{false,true}) { + FlowLedger ledger(g);FlowPolicy p(ledger,v({0}),v({1}),cfg); + if(operation==2)check(p.evaluate(offer,{},all),offer); + else if(!ordered)check(operation==0 ? p.place(offer,all) : p.replace(offer,{},all),offer); + else { + const std::vector actions=operation==0 ? std::vector{Place{p,offer}} : std::vector{Replace{p,offer}}; + check(apply_actions(ledger,actions,BatchMode::Ordered,all).front(),offer); + } + } + const EvaluationOptions options{cfg,nullptr,nullptr,all,{},offer}; + check(evaluate_demand(*g,v({0}),v({1}),options),offer); + for(int workers:{1,2,4}) { + const std::vector,std::vector>> pairs(5,{{0},{1}}); + for(const auto& r:evaluate_pairs(*g,pairs,options,{},workers))check(r,offer); + check(evaluate_edge_failures(*g,v({0}),v({1}),options,workers).baseline,offer); + } + } +} + +TEST(WeightedSources, RemainingZeroCapturedWeightsWithAProgramPathHaveNoActiveWeight) { + const auto g=std::make_shared(make_graph(3,{{0,2,10,1},{1,2,10,1}})); + const auto program=evaluate_demand(*g,v({0,1}),v({2}),EvaluationOptions{weighted({2,0,0}),nullptr,nullptr,all,{},Amount{5}}).program; + ASSERT_EQ(program->tunnels().size(),1U); + const auto mask=g->eligibility(v({0}),{}); + for(Admission admission:{Admission::Lossy,Admission::Lossless}) { + FlowLedger ledger(g);FlowPolicy p(ledger,v({0,1}),v({2}),{.routing=Pinned{program},.admission=admission},&mask); + for(int operation=0;operation<3;++operation) { + p.remove(); + const auto r=operation==0 ? p.replace(4,{},all) : operation==1 ? p.evaluate(4,{},all) : p.place(4,all); + EXPECT_EQ(r.termination,Termination::NoActiveWeight);EXPECT_EQ(r.delivered,0); + EXPECT_EQ(r.call_undelivered,4);EXPECT_EQ(r.source_drops,(Counter128{0,admission==Admission::Lossy ? 4U : 0U})); + EXPECT_EQ(r.unadmitted,(std::optional{{0,admission==Admission::Lossy ? 0U : 4U}})); + EXPECT_EQ(sources(r),(std::vector{0,0})); + for(const auto& row:r.by_source) EXPECT_EQ(row.source_drops,(Counter128{})); + } + } +} + +TEST(WeightedSources, SmallWeightSumsUseWideCumulativeArithmetic) { + const Amount m=kDomainLimit-1; + for(int count:{2,3,4})for(bool unequal:{false,true}) { + std::vector edges;std::vector heads;std::vector weights; + for(int i=0;i(make_graph(count+1,edges)); + const auto program=evaluate_demand(*g,heads,v({count}),EvaluationOptions{weighted(weights)}).program; + const auto view=detail::make_forwarding_view(*g,program,nullptr,v({count}),nullptr); + // The sum of four M weights is 2^64-4; X=3M+7 reaches the old product overflow. + std::vector delta(static_cast(count)); + detail::source_offer_increments(view,{0,3*static_cast(m)+7},m,delta); + EXPECT_TRUE(std::all_of(delta.begin(),delta.end(),[](Amount a){return a>=0;})); + UInt128 sum=0;for(auto a:delta)sum+=UInt128(a);EXPECT_EQ(sum,UInt128(m)); + if(count==4&&!unequal) EXPECT_EQ(delta,(std::vector{m/4+1,m/4+1,m/4+1,m/4})); + } +} diff --git a/tests/data/weighted_sources.json b/tests/data/weighted_sources.json new file mode 100644 index 0000000..5400861 --- /dev/null +++ b/tests/data/weighted_sources.json @@ -0,0 +1,1519 @@ +[ + { + "id": "W-witness", + "oracle": "weighted_te", + "input": { + "edges": [ + [ + 0, + 2, + 16, + 1 + ], + [ + 1, + 2, + 8, + 1 + ], + [ + 1, + 3, + 8, + 2 + ], + [ + 2, + 3, + 8, + 1 + ], + [ + 2, + 4, + 8, + 1 + ], + [ + 3, + 5, + 8, + 1 + ], + [ + 4, + 5, + 8, + 1 + ] + ], + "sources": [ + 0, + 1 + ], + "destinations": [ + 5 + ], + "source_weights": [ + 2, + 1, + 0, + 0, + 0, + 0 + ] + }, + "expected": { + "roster": [ + 0, + 1 + ], + "program_source_weights": [ + [ + 0, + 2 + ], + [ + 1, + 1 + ] + ], + "delivered": 16, + "termination": "EXHAUSTED", + "by_source": [ + [ + 0, + 11 + ], + [ + 1, + 5 + ] + ], + "cost": 48, + "edge_flows": [ + 11, + 0, + 5, + 3, + 8, + 8, + 8 + ], + "tunnels": [ + [ + 0, + 0, + [ + 0, + 3, + 5 + ], + 3 + ], + [ + 1, + 0, + [ + 0, + 4, + 6 + ], + 8 + ], + [ + 2, + 1, + [ + 2, + 5 + ], + 5 + ] + ] + } + }, + { + "id": "W-witness-coarse", + "oracle": "weighted_te", + "input": { + "edges": [ + [ + 0, + 2, + 2, + 1 + ], + [ + 1, + 2, + 1, + 1 + ], + [ + 1, + 3, + 1, + 2 + ], + [ + 2, + 3, + 1, + 1 + ], + [ + 2, + 4, + 1, + 1 + ], + [ + 3, + 5, + 1, + 1 + ], + [ + 4, + 5, + 1, + 1 + ] + ], + "sources": [ + 0, + 1 + ], + "destinations": [ + 5 + ], + "source_weights": [ + 2, + 1, + 0, + 0, + 0, + 0 + ], + "replays": [ + 3 + ] + }, + "expected": { + "roster": [ + 0, + 1 + ], + "program_source_weights": [ + [ + 0, + 2 + ], + [ + 1, + 1 + ] + ], + "delivered": 2, + "termination": "EXHAUSTED", + "by_source": [ + [ + 0, + 2 + ], + [ + 1, + 0 + ] + ], + "cost": 6, + "edge_flows": [ + 2, + 0, + 0, + 1, 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0, + 0 + ], + [ + 1, + 0 + ], + [ + 2, + 0 + ] + ], + "cost": 0, + "edge_flows": [ + 0, + 0, + 0 + ], + "tunnels": [], + "replays": [ + { + "offer": 6, + "edge_flows": [ + 0, + 0, + 0 + ], + "source_drops": [ + 0, + 0 + ], + "delivered": [ + 0, + 0 + ], + "demand_source_drops": 6, + "lossy_termination": "COMPLETE", + "lossless_termination": "EXHAUSTED" + } + ], + "lossless_bound": 0 + } + }, + { + "id": "W-empty-roster", + "oracle": "weighted_te", + "input": { + "edges": [ + [ + 0, + 3, + 4, + 1 + ], + [ + 1, + 3, + 4, + 1 + ], + [ + 2, + 3, + 4, + 1 + ] + ], + "sources": [ + 0, + 1, + 2 + ], + "destinations": [ + 3 + ], + "source_weights": [ + 0, + 0, + 5, + 0 + ], + "excluded_nodes": [ + 0, + 1, + 2 + ], + "offer": 6, + "replays": [ + 0, + 6 + ] + }, + "expected": { + "roster": [], + "program_source_weights": [], + "delivered": 0, + "termination": "NO_ROUTE", + "replays": [ + { + "offer": 0, + "edge_flows": [ + 0, + 0, + 0 + ], + "source_drops": [], + "delivered": [], + 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"source_allocation": "WEIGHTED" + } + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "EQUAL", + "source_weights": [ + "list", + 1, + 1, + 0, + 0 + ] + } + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "OPTIMIZED", + "source_weights": [ + "list", + 1, + 1, + 0, + 0 + ] + } + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "tunnel_count": "2" + } + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "tunnel_count": "2", + "source_weights": [ + "list", + 1, + 0, + 0, + 0 + ] + } + }, + { + "model": "ShortestPaths", + "kwargs": { + "source_allocation": "WEIGHTED" + } + }, + { + "model": "ShortestPaths", + "kwargs": { + "allocation": "OPTIMIZED", + "source_allocation": "WEIGHTED" + } + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED" + }, + "admission": "LOSSY" + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED" + }, + "cache": true + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "source_weights": [ + "list", + 1, + 1, + 0 + ] + }, + "cache": true, + "num_nodes": 4 + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "source_weights": [ + "list", + 1, + 1, + 0 + ] + }, + "num_nodes": 4 + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "source_weights": [ + "list", + 0, + -1, + 0, + 0 + ] + }, + "num_nodes": 4 + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "source_weights": [ + "list", + 0, + 4611686018427387904, + 0, + 0 + ] + }, + "num_nodes": 4 + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "source_weights": [ + "list", + 1.5, + 0, + 0, + 0 + ] + }, + "num_nodes": 4 + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "source_weights": [ + "list", + [ + "bool", + true + ], + 0, + 0, + 0 + ] + }, + "num_nodes": 4 + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "source_weights": [ + "list", + 18446744073709551616, + 0, + 0 + ] + }, + "num_nodes": 4 + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "source_weights": [ + "list", + [ + "list", + 1 + ], + 0 + ] + }, + "num_nodes": 4 + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "source_weights": [ + "str", + "1100" + ] + }, + "num_nodes": 4 + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "source_weights": [ + "list", + 2, + 1, + 0, + 0 + ] + }, + "num_nodes": 4 + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "source_weights": [ + "list", + 0, + 0, + 0, + 0 + ] + }, + "num_nodes": 4 + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "source_weights": [ + "list", + 1.5, + [ + "list", + 1 + ], + 0, + 0 + ] + }, + "num_nodes": 4 + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "source_weights": [ + "list", + 18446744073709551616, + [ + "list", + 1 + ], + 0, + 0 + ] + }, + "num_nodes": 4 + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "source_weights": [ + "list", + 18446744073709551616, + 1.5, + 0, + 0 + ] + }, + "num_nodes": 4 + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "source_weights": [ + "list", + -1, + 18446744073709551616, + 0, + 0 + ] + }, + "num_nodes": 4 + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "source_weights": [ + "range", + 4 + ] + }, + "num_nodes": 4 + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "source_weights": [ + "range", + 4 + ] + }, + "num_nodes": 5 + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "source_weights": [ + "list", + 18446744073709551616, + 0, + 0, + 0 + ] + }, + "num_nodes": 4, + "admission": "LOSSY" + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "source_weights": [ + "list", + [ + "str", + "a" + ], + 0, + 0, + 0 + ] + }, + "num_nodes": 4 + } + ] + }, + "expected": [ + "source_allocation=WEIGHTED requires source_weights", + "source_weights require source_allocation=WEIGHTED", + "source_weights require source_allocation=WEIGHTED", + "source_allocation=WEIGHTED requires CentralizedTE without tunnel_count", + "source_allocation=WEIGHTED requires CentralizedTE without tunnel_count", + "source_allocation=WEIGHTED requires CentralizedTE without tunnel_count", + "source_allocation=WEIGHTED requires CentralizedTE without tunnel_count", + "CentralizedTE without tunnel_count requires admission=LOSSLESS", + "source_allocation=WEIGHTED requires source_weights", + "CentralizedTE does not use ShortestPathCache", + "source_weights: expected 4 entries", + "source_weights[1] must be an integer in [0, 2^62)", + "source_weights[1] must be an integer in [0, 2^62)", + "TypeError: source_weights[0] must be an integer (got float)", + "TypeError: source_weights[0] must be an integer (got bool)", + "ValueError: source_weights[0] must be an integer in [0, 2^62)", + "TypeError: source_weights must be a 1-D sequence of integers (entry 0 is a sequence)", + "TypeError: source_weights must be a 1-D sequence of integers (got str)", + "source_allocation=WEIGHTED support=None tunnel_count=None prefer_headroom=False source_weights=[2, 1, 0, 0]", + "source_allocation=WEIGHTED support=None tunnel_count=None prefer_headroom=False source_weights=[0, 0, 0, 0]", + "TypeError: source_weights must be a 1-D sequence of integers (entry 1 is a sequence)", + "TypeError: source_weights must be a 1-D sequence of integers (entry 1 is a sequence)", + "TypeError: source_weights[1] must be an integer (got float)", + "ValueError: source_weights[1] must be an integer in [0, 2^62)", + "source_allocation=WEIGHTED support=None tunnel_count=None prefer_headroom=False source_weights=[0, 1, 2, 3]", + "source_weights: expected 5 entries", + "ValueError: source_weights[0] must be an integer in [0, 2^62)", + "TypeError: source_weights[0] must be an integer (got str)" + ] + }, + { + "id": "W-config-numpy", + "oracle": "model_config", + "input": { + "cases": [ + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "source_weights": [ + "array", + "uint64", + [ + 9223372036854775808, + 0, + 0, + 0 + ] + ] + }, + "num_nodes": 4 + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "source_weights": [ + "array", + "uint64", + [ + 9223372036854775808, + 0, + 0, + 0 + ] + ] + }, + "num_nodes": 4, + "admission": "LOSSY" + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "source_weights": [ + "array", + "int32", + [ + 2, + 1, + 0, + 0 + ] + ] + }, + "num_nodes": 4 + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "source_weights": [ + "array", + "float64", + [ + 1, + 0, + 0, + 0 + ] + ] + }, + "num_nodes": 4 + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "source_weights": [ + "array", + "int64", + [ + [ + 1, + 0, + 0, + 0 + ] + ] + ] + }, + "num_nodes": 4 + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "source_weights": [ + "list", + [ + "array", + "int64", + [ + 1 + ] + ], + 0, + 0, + 0 + ] + }, + "num_nodes": 4 + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "source_weights": [ + "list", + [ + "array", + "int64", + 1 + ], + 0, + 0, + 0 + ] + }, + "num_nodes": 4 + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "source_weights": [ + "array", + "bool", + [ + 1, + 0, + 0, + 0 + ] + ] + }, + "num_nodes": 4 + }, + { + "model": "CentralizedTE", + "kwargs": { + "source_allocation": "WEIGHTED", + "source_weights": [ + "list", + [ + "numpy", + "uint64", + 9223372036854775808 + ], + 0, + 0, + 0 + ] + }, + "num_nodes": 4 + } + ] + }, + "expected": [ + "ValueError: source_weights[0] must be an integer in [0, 2^62)", + "ValueError: source_weights[0] must be an integer in [0, 2^62)", + "source_allocation=WEIGHTED support=None tunnel_count=None prefer_headroom=False source_weights=[2, 1, 0, 0]", + "TypeError: source_weights entries must be integers (got dtype float64)", + "TypeError: source_weights must be a 1-D array (got 2 dimensions)", + "TypeError: source_weights must be a 1-D sequence of integers (entry 0 is a sequence)", + "source_allocation=WEIGHTED support=None tunnel_count=None prefer_headroom=False source_weights=[1, 0, 0, 0]", + "TypeError: source_weights entries must be integers (got dtype bool)", + "ValueError: source_weights[0] must be an integer in [0, 2^62)" + ] + } +] diff --git a/tests/py/contract_api.py b/tests/py/contract_api.py index 9dfb2b4..b0501b4 100644 --- a/tests/py/contract_api.py +++ b/tests/py/contract_api.py @@ -12,6 +12,7 @@ "__init__": [ [ ("source_allocation", "kw", None), + ("source_weights", "kw", "None"), ("support", "kw", "None"), ("tunnel_count", "kw", "None"), ("prefer_headroom", "kw", "False"), @@ -19,6 +20,7 @@ ], "prefer_headroom": "attribute", "source_allocation": "attribute", + "source_weights": "attribute", "support": "attribute", "tunnel_count": "attribute", }, @@ -395,7 +397,11 @@ "tie_break": "attribute", "weight_basis": "attribute", }, - "SourceAllocation": {"EQUAL": "attribute", "OPTIMIZED": "attribute"}, + "SourceAllocation": { + "EQUAL": "attribute", + "OPTIMIZED": "attribute", + "WEIGHTED": "attribute", + }, "SourceFlow": { "__init__": [[("_no_public_constructor", "pos", None)]], "admitted": "attribute", diff --git a/tests/py/removed_names_reviewed.txt b/tests/py/removed_names_reviewed.txt index bf41a91..ca9dd98 100644 --- a/tests/py/removed_names_reviewed.txt +++ b/tests/py/removed_names_reviewed.txt @@ -305,7 +305,6 @@ include/netgraph/core/flow_policy.hpp | count | chosen count), design_demand (nu include/netgraph/core/flow_policy.hpp | count | or an evaluator uses it); `up_to` (T2 only; T1 rejects it): | the tunnel count (tunnels per head) include/netgraph/core/flow_policy.hpp | drops | call_edge_drops (this call's drops per edge, ascending EdgeI | losses on links or at a source include/netgraph/core/flow_policy.hpp | edge_weights | (Capacity). edge_weights (one integer per edge in [0, 2^62), | ShortestPaths.edge_weights, where the field now lives -include/netgraph/core/flow_policy.hpp | edge_weights | edge_weights' length and entries; then the tunnel limit; the | ShortestPaths.edge_weights, where the field now lives include/netgraph/core/flow_policy.hpp | placed | minimum total cost of the flow by `cost` per unit (more deli | traffic placed (delivered) on a ledger include/netgraph/core/flow_policy.hpp | volume | controller. A design volume D is split RR(D, H, h) over the | the design volume D of the tunnel models include/netgraph/core/flow_policy.hpp | weights | allocation | a table column: the weight options of the models @@ -315,7 +314,6 @@ include/netgraph/core/flow_record.hpp | entry | that route, or kUnreachable if n include/netgraph/core/forwarding_program.hpp | allocated | One shared hop-by-hop program on a supplied DAG of `graph`: | allocated memory, storage or amounts include/netgraph/core/forwarding_program.hpp | planned | planned_bandwidth: T2's planned bandwidth u (metadata, | T2's planned bandwidth include/netgraph/core/forwarding_program.hpp | weights | Equal (absent) or Weighted, whose weights come from `weight_ | WEIGHTED's member weights -include/netgraph/core/forwarding_program.hpp | weights | The captured source weights (roster source, saved supply) in | the captured source weights of a program's injection include/netgraph/core/forwarding_program.hpp | weights | applies only to PredecessorDAG routes`); allocation Optimize | WEIGHTED's member weights include/netgraph/core/forwarding_program.hpp | weights | share by highest averages over its entries' weights. Identic | a program entry's integer weight (its share among its head's entries) include/netgraph/core/forwarding_program.hpp | weights | the weights' combination; edge_weights' and residual's lengt | WEIGHTED's member weights @@ -667,3 +665,21 @@ tests/py/test_programs.py | Tunnels | on rows 2, 6 and 17. Tunnels 0 and 3 reach docs/semantics.md | weights | `FEWER_HOPS` or `HIGHER_CAPACITY` and `EQUAL`, `CAPACITY` or `EXPLICIT` weights, a preparation | member weight values and immutable preparation README.md | weights | `HIGHER_CAPACITY` and static weights keeps its immutable preparation across epochs, with results | immutable member weight values, not a removed API name include/netgraph/core/flow_policy.hpp | weights | path), fixed for an epoch. With FewerHops or HigherCapacity and static weights the policy | immutable member weights of a ShortestPaths policy +CentralizedTE | tunnels | of declared source_weights, only without tunnels. Zero weights receive nothing; all-zero | path tunnels of the model; the current configuration keyword is tunnel_count +ForwardingProgram | weights | captured weights ((source, weight) for every roster source, ascending): optimized controllers' solved | declared or captured integer weight values, not a retired configuration field +ForwardingProgram | weights | supplies, weighted CentralizedTE's declared weights, or None for equal sources (round robin). Each head splits its share by | declared or captured integer weight values, not a retired configuration field +README.md | tunnels | (CentralizedTE without tunnels prescribes highest-averages shares of declared source weights). The routing is | path tunnels of the model; the current configuration keyword is tunnel_count +README.md | tunnels | replay at another offer. WEIGHTED is refused with tunnels and in ShortestPaths; all-zero | path tunnels of the model; the current configuration keyword is tunnel_count +README.md | weights | (CentralizedTE without tunnels prescribes highest-averages shares of declared source weights). The routing is | declared or captured integer weight values, not a retired configuration field +README.md | weights | at the maximum total, then cost is minimized. Its program retains the declared weights for | declared or captured integer weight values, not a retired configuration field +README.md | weights | roster weights deliver nothing and end NO_ACTIVE_WEIGHT on a positive live call. | declared or captured integer weight values, not a retired configuration field +docs/semantics.md | weights | including unused and masked nodes, but only roster weights participate. Zero weights receive | declared or captured integer weight values, not a retired configuration field +docs/semantics.md | weights | nothing; all-zero roster weights give no injection, with no equal fallback. Other source | declared or captured integer weight values, not a retired configuration field +include/netgraph/core/detail/int128.hpp | priority | quota numerator or priority cross-product is below 2^189. Three portable words | exact rational quotient ordering for integer apportionment, not a retired route option +include/netgraph/core/flow_policy.hpp | tunnels | Required exactly for Weighted, without tunnels: one immutable weight per graph node, | path tunnels of the model; the current configuration keyword is tunnel_count +include/netgraph/core/forwarding_program.hpp | weights | The captured source weights (roster source, weight) in ascending NodeId, every roster | declared or captured integer weight values, not a retired configuration field +include/netgraph/core/forwarding_program.hpp | weights | source listed, zeros included: solved supplies for Optimized, declared weights for | declared or captured integer weight values, not a retired configuration field +src/route_kernels.cpp | priority | One rule for both widths: only quota and priority arithmetic differ. The | exact rational quotient ordering for integer apportionment, not a retired route option +tests/cpp/weighted_source_tests.cpp | priority | One-unit-at-a-time priority oracle for small totals; test integer arithmetic | exact rational quotient ordering for integer apportionment, not a retired route option +include/netgraph/core/flow_policy.hpp | edge_weights | edge_weights' and source_weights' lengths and entries; then the tunnel limit; then a Pinned program's endpoints. | the current routing models' validated vectors, not a retired flat configuration field +docs/semantics.md | weights | shares (`SourceAllocation.EQUAL`), highest-averages shares of declared weights (`WEIGHTED`), | declared integer source proportions, not a retired configuration field diff --git a/tests/py/test_concurrency.py b/tests/py/test_concurrency.py index c3cdaa6..3a6b470 100644 --- a/tests/py/test_concurrency.py +++ b/tests/py/test_concurrency.py @@ -163,10 +163,12 @@ def test_native_phase_allows_heartbeat(): p = policy(ledger) p.replace(1) probe = Probe() +wcfg = ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.WEIGHTED, source_weights=[2,0])) +weighted_policy = ngc.FlowPolicy(ngc.FlowLedger(network),0,1,wcfg) operations = [lambda: p.place(1), lambda: p.evaluate(3), lambda: p.replace(3), - lambda: p.forward(3), lambda: ngc.apply_actions(ledger, [ngc.Replace(p, 3)])] + lambda: p.forward(3), lambda: ngc.apply_actions(ledger, [ngc.Replace(p, 3)]), lambda: weighted_policy.place(1)] observations = {} -for name, operation in zip(('place', 'evaluate', 'replace', 'forward', 'ordered_list'), operations, strict=True): +for name, operation in zip(('place', 'evaluate', 'replace', 'forward', 'ordered_list', 'weighted_place'), operations, strict=True): task = start(lambda: [operation() for _ in range(60)], probe) overlaps = 0 while task[0].is_alive(): diff --git a/tests/py/test_flow_policy.py b/tests/py/test_flow_policy.py index bfb4b78..d2e3b49 100644 --- a/tests/py/test_flow_policy.py +++ b/tests/py/test_flow_policy.py @@ -961,7 +961,7 @@ def test_exception_classes_of_conversions(): @needs_hooks -@pytest.mark.parametrize("routing", ["shortest_paths", "global"]) +@pytest.mark.parametrize("routing", ["shortest_paths", "global", "weighted"]) @pytest.mark.parametrize("traced", [False, True]) def test_python_publication_is_all_or_nothing(routing, traced): # Every Python object of a placement exists before anything is published, so the k-th @@ -969,6 +969,13 @@ def test_python_publication_is_all_or_nothing(routing, traced): # call's flow in the same epoch included), never crashes, and a retry places as a call # without failure does. cfg = GLOBAL if routing == "global" else SHORTEST_PATHS + if routing == "weighted": + cfg = config( + ngc.CentralizedTE( + source_allocation=ngc.SourceAllocation.WEIGHTED, + source_weights=[1001, 0], + ) + ) g = build(2, [(0, 1, 10, 1)]) for entry in ( diff --git a/tests/py/test_getter_allocation.py b/tests/py/test_getter_allocation.py index cd0b3d5..d33e7cd 100644 --- a/tests/py/test_getter_allocation.py +++ b/tests/py/test_getter_allocation.py @@ -92,6 +92,10 @@ def values(): "ShortestPaths": wcmp, "DistributedTE": dte, "CentralizedTE": t2, + "CentralizedTEWeighted": ngc.CentralizedTE( + source_allocation=ngc.SourceAllocation.WEIGHTED, + source_weights=[1001, 1003, 0, 0], + ), "Pinned": ngc.Pinned(t1_result.program, black_holes=mask), "TunnelCount": ngc.TunnelCount(2, up_to=True), "AbsoluteCost": ngc.AbsoluteCost(3), diff --git a/tests/py/test_integer_array_allocation.py b/tests/py/test_integer_array_allocation.py index ff7b6f3..6cab8c2 100644 --- a/tests/py/test_integer_array_allocation.py +++ b/tests/py/test_integer_array_allocation.py @@ -44,6 +44,7 @@ "from_csr.edges", "Path.hop", "ShortestPaths.weights", + "CentralizedTE.weights", "FlowLedger.service", "FlowLedger.reservation", "reset.service", @@ -143,6 +144,16 @@ def check(): def check(): return plain(obj) + elif reader.startswith("CentralizedTE."): + fn, args, obj = initialize( + ngc.CentralizedTE, + (), + source_allocation=ngc.SourceAllocation.WEIGHTED, + source_weights=array([1001, 1003]), + ) + + def check(): + return plain(obj.source_weights) elif reader.startswith("ShortestPaths."): weights = array([1]) fn, args, obj = initialize( diff --git a/tests/py/test_public_surface.py b/tests/py/test_public_surface.py index d9887ff..c98cda4 100644 --- a/tests/py/test_public_surface.py +++ b/tests/py/test_public_surface.py @@ -141,7 +141,7 @@ def test_enum_declaration_order(): "HIGHER_HEADROOM", ], ngc.RouteAllocation: ["EQUAL", "WEIGHTED", "OPTIMIZED"], - ngc.SourceAllocation: ["EQUAL", "OPTIMIZED"], + ngc.SourceAllocation: ["EQUAL", "OPTIMIZED", "WEIGHTED"], ngc.WeightBasis: ["CAPACITY", "EXPLICIT", "RESIDUAL_SNAPSHOT"], ngc.Admission: ["LOSSLESS", "LOSSY"], ngc.Direction: ["FORWARD", "REVERSE"], diff --git a/tests/py/test_route_structures.py b/tests/py/test_route_structures.py index b0774f5..5353a90 100644 --- a/tests/py/test_route_structures.py +++ b/tests/py/test_route_structures.py @@ -339,7 +339,7 @@ def test_route_tie_break_and_enums(): "EQUAL", } assert set(ngc.Admission.__members__) == {"LOSSLESS", "LOSSY"} - assert set(ngc.SourceAllocation.__members__) == {"EQUAL", "OPTIMIZED"} + assert set(ngc.SourceAllocation.__members__) == {"EQUAL", "OPTIMIZED", "WEIGHTED"} for retired in ("PathSelection", "EdgeTieBreak", "EdgePriority"): assert retired not in dir(ngc), retired diff --git a/tests/py/test_weighted_sources.py b/tests/py/test_weighted_sources.py new file mode 100644 index 0000000..793b7de --- /dev/null +++ b/tests/py/test_weighted_sources.py @@ -0,0 +1,830 @@ +"""Prescribed source quotas, captured-weight replay and independent integer witnesses.""" + +import copy +import gc +import itertools +import json +import math +import random +from fractions import Fraction +from pathlib import Path + +import numpy as np +import pytest +from helpers import build, config, dag_of, exact, ledger_state, plain + +import netgraph_core as n + +CASES = json.loads( + (Path(__file__).parents[1] / "data/weighted_sources.json").read_text() +) +M = 2**62 - 1 +OUT = n.OutputOptions( + edge_flows=True, + residual=True, + edge_reservations=True, + saturated_boundary_edges=True, + min_cut=True, +) + + +def weighted(weights, **kwargs): + return config( + n.CentralizedTE( + source_allocation=n.SourceAllocation.WEIGHTED, + source_weights=weights, + **kwargs, + ) + ) + + +def ha(total, weights): + """Independent exact rational priorities; no library allocation helpers.""" + if not sum(weights): + return [0] * len(weights) + a = [total * w // sum(weights) for w in weights] + for _ in range(total - sum(a)): + i = max(range(len(a)), key=lambda j: (Fraction(weights[j], a[j] + 1), -j)) + a[i] += 1 + return a + + +def sequential(total, weights): + a = [0] * len(weights) + for _ in range(total if any(weights) else 0): + i = max(range(len(a)), key=lambda j: (Fraction(weights[j], a[j] + 1), -j)) + a[i] += 1 + return a + + +def subset(got, want): + """Strict recursive schema/value comparison of the promised fixture fields.""" + if isinstance(want, dict): + assert isinstance(got, dict) + assert want.keys() <= got.keys() + for key, value in want.items(): + subset(got[key], value) + elif isinstance(want, list): + assert type(got) is list and len(got) == len(want) + for a, b in zip(got, want, strict=True): + subset(a, b) + else: + assert type(got) is type(want) and got == want + + +def decode(value): + if not isinstance(value, list): + return value + tag, *args = value + if tag == "list": + return [decode(x) for x in args] + if tag == "range": + return range(*args) + if tag == "array": + return np.array(args[1], dtype=args[0]) + if tag == "numpy": + return getattr(np, args[0])(args[1]) + if tag in ("bool", "str"): + return args[0] + raise AssertionError(value) + + +def config_case(case): + kw = dict(case["kwargs"]) + for name in ("source_weights", "edge_weights"): + if name in kw: + kw[name] = decode(kw[name]) + for name, enum in ( + ("source_allocation", n.SourceAllocation), + ("allocation", n.RouteAllocation), + ): + if name in kw: + kw[name] = getattr(enum, kw[name]) + if "tunnel_count" in kw: + kw["tunnel_count"] = n.TunnelCount(int(kw["tunnel_count"])) + try: + model = getattr(n, case["model"])(**kw) + except (TypeError, ValueError) as error: + return f"{type(error).__name__}: {error}" + g = build(case.get("num_nodes", 4), [(0, 3, 10, 1), (1, 3, 10, 1)]) + try: + n.FlowPolicy( + n.FlowLedger(g), + [0, 1], + 3, + config( + model, admission=getattr(n.Admission, case.get("admission", "LOSSLESS")) + ), + cache=n.ShortestPathCache(g) if case.get("cache") else None, + ) + except ValueError as error: + return str(error) + return ( + f"source_allocation={model.source_allocation.name} support=None tunnel_count=None" + f" prefer_headroom=False source_weights={list(model.source_weights)}" + ) + + +def run_case(case): + data = case["input"] + if case["oracle"] == "model_config": + return [config_case(c) for c in data["cases"]] + if case["oracle"] == "weighted_equal": + g = build(4, data["edges"]) + out = {} + for name, cfg in ( + ("weighted", weighted([data["weight"], data["weight"], 0, 0])), + ( + "equal", + config(n.CentralizedTE(source_allocation=n.SourceAllocation.EQUAL)), + ), + ): + r = n.evaluate_demand( + g, + data["sources"], + data["destinations"], + n.EvaluationOptions(cfg, offer=data["offer"], outputs=OUT), + ) + out[name] = dict( + delivered=r.delivered, + cost=r.total_cost, + edge_flows=r.edge_flows.tolist(), + by_source=[[s.source, s.delivered] for s in r.by_source], + ) + return out + g = build(len(data["source_weights"]), data["edges"]) + mask = g.eligibility( + excluded_nodes=data.get("excluded_nodes", []), + excluded_edges=data.get("excluded_edges", []), + ) + cfg = weighted(data["source_weights"]) + ledger = n.FlowLedger(g) + p = n.FlowPolicy( + ledger, data["sources"], data["destinations"], cfg, eligibility=mask + ) + offer = data.get("offer", math.inf) + before = ledger_state(ledger) + evaluated = p.evaluate(offer, outputs=OUT) + assert ledger_state(ledger) == before and p.program is None + r = p.replace(offer, outputs=OUT) + if r.delivered: + assert r.routes_changed and r.weights_changed and not r.reservations_changed + assert plain(evaluated) == plain(r) + assert r.plan is None and r.min_cut is None and r.marginal_cost_curve is None + assert r.offered is None and r.admitted == r.delivered + assert r.source_drops == 0 and r.edge_drops == [] + assert r.edge_reservations.tolist() == [0] * g.num_edges() + assert sum(s.delivered for s in r.by_source) == r.delivered + assert r.total_cost == sum( + int(c) * int(f) for c, f in zip(g.edge_costs(), r.edge_flows, strict=True) + ) + assert r.requested == offer + assert r.unadmitted == (None if offer == math.inf else offer - r.delivered) + assert ledger.carried().tolist() == r.edge_flows.tolist() + assert ledger.residual().tolist() == [ + int(c) - int(f) + for c, f in zip(g.edge_capacity_units(), r.edge_flows, strict=True) + ] + captured = r.program.source_weights + out = dict( + roster=[s for s, _ in captured], + program_source_weights=[list(x) for x in captured], + delivered=r.delivered, + termination=r.termination.name, + by_source=[[s.source, s.delivered] for s in r.by_source], + cost=r.total_cost, + edge_flows=r.edge_flows.tolist(), + tunnels=[ + [t.entry_id, t.head, list(t.edges), t.weight] for t in r.program.tunnels + ], + ) + if "replays" in data: + out["replays"] = [] + for x in data["replays"]: + runs = {} + for admission in (n.Admission.LOSSY, n.Admission.LOSSLESS): + q = n.FlowPolicy( + n.FlowLedger(g), + data["sources"], + data["destinations"], + config(n.Pinned(r.program), admission=admission), + eligibility=mask, + ) + runs[admission] = q.replace(x, outputs=OUT) + a, b = runs[n.Admission.LOSSY], runs[n.Admission.LOSSLESS] + rows = {s.source: s for s in a.by_source} + out["replays"].append( + dict( + offer=x, + edge_flows=a.edge_flows.tolist(), + source_drops=[rows[s].source_drops for s, _ in captured], + delivered=[rows[s].delivered for s, _ in captured], + demand_source_drops=a.source_drops, + lossy_termination=a.termination.name, + lossless_termination=b.termination.name, + ) + ) + q = n.FlowPolicy( + n.FlowLedger(g), + data["sources"], + data["destinations"], + config(n.Pinned(r.program)), + eligibility=mask, + ) + out["lossless_bound"] = q.replace(math.inf).delivered + return out + + +@pytest.mark.parametrize("case", CASES, ids=lambda c: c["id"]) +def test_contract_cases(case): + subset(run_case(case), case["expected"]) + + +def test_oracles_and_comparator_reject_wrong_rules(): + assert sequential(2, [2, 1]) == [2, 0] + assert sequential(50, [100, 1, 1, 1]) == [50, 0, 0, 0] + for t in range(25): + for w in itertools.product(range(4), repeat=3): + assert ha(t, w) == sequential(t, w) + assert ha(15, [2, 1]) == [10, 5] != ha(15, [11, 5]) + + # Every promised fixture leaf: wrong value, wrong type, missing and null must fail. + def mutants(value): + yield None + if isinstance(value, dict): + for key in value: + bad = copy.deepcopy(value) + del bad[key] + yield bad + for replacement in mutants(value[key]): + bad = copy.deepcopy(value) + bad[key] = replacement + yield bad + elif isinstance(value, list): + yield value + [None] + for i, leaf in enumerate(value): + for replacement in mutants(leaf): + bad = copy.deepcopy(value) + bad[i] = replacement + yield bad + elif type(value) is int: + yield value + 1 + yield float(value) + elif isinstance(value, str): + yield value + "!" + + for case in CASES: + expected = case["expected"] + subset(expected, expected) + for changed in mutants(expected): + with pytest.raises((AssertionError, TypeError)): + subset(changed, expected) + + +@pytest.mark.parametrize("ordered", [False, True]) +def test_refused_traffic_is_not_retried_after_relief(ordered): + g = build(4, [(0, 2, 10, 1), (1, 2, 10, 1), (2, 3, 10, 1)]) + ledger = n.FlowLedger(g) + other = n.FlowPolicy(ledger, 2, 3, config(n.ShortestPaths())) + p = n.FlowPolicy(ledger, [0, 1], 3, weighted([2, 1, 0, 0])) + other.replace(8) + + def call(v): + return ( + n.apply_actions(ledger, [n.Place(p, v)], outputs=OUT)[0] + if ordered + else p.place(v, outputs=OUT) + ) + + initial = call(5) + assert initial.delivered == 2 + check_live_rows(initial, [[0, 0, "UP", 2, 2, 0]], 3) + other.replace(5) + r = call(1) + assert (r.call_delivered, r.delivered, r.total_cost, r.requested, r.unadmitted) == ( + 1, + 3, + 6, + 6, + 3, + ) + assert [s.delivered for s in r.by_source] == [2, 1] + assert r.edge_flows.tolist() == [2, 1, 3] + check_live_rows(r, [[0, 0, "UP", 2, 2, 0], [1, 1, "UP", 1, 1, 0]], 0) + + +def test_exact_replay_paths_and_all_zero_termination(): + g = build(3, [(0, 2, 10, 1), (1, 2, 10, 1)]) + live = n.FlowPolicy(n.FlowLedger(g), [0, 1], 2, weighted([0, 0, 0])) + saved = live.replace(6) + assert saved.termination == n.Termination.NO_ACTIVE_WEIGHT + for support in (None, dag_of(g, [0, 1])): + q = n.FlowPolicy( + n.FlowLedger(g), [0, 1], 2, weighted([0, 0, 0], support=support) + ) + unlimited = q.evaluate(math.inf) + assert unlimited.termination == n.Termination.NO_ACTIVE_WEIGHT + assert unlimited.requested == unlimited.call_undelivered == math.inf + assert unlimited.unadmitted is None and unlimited.delivered == 0 + assert live.forward(6).termination == n.Termination.EXHAUSTED + for admission in (n.Admission.LOSSY, n.Admission.LOSSLESS): + q = n.FlowPolicy( + n.FlowLedger(g), + [0, 1], + 2, + config(n.Pinned(saved.program), admission=admission), + ) + with pytest.raises(ValueError, match=exact("Pinned forwards with replace")): + q.forward(6) + for method in (q.replace, q.evaluate, q.place): + q.remove() + r = method(6) + assert r.termination == ( + n.Termination.COMPLETE + if admission == n.Admission.LOSSY + else n.Termination.EXHAUSTED + ) + assert r.source_drops == (6 if admission == n.Admission.LOSSY else 0) + assert all(s.source_drops == s.delivered == 0 for s in r.by_source) + assert method(0).termination == n.Termination.COMPLETE + + +@pytest.mark.parametrize("reverse", [False, True]) +@pytest.mark.parametrize("reverse_creation", [False, True]) +def test_simultaneous_ties_follow_creation_not_action_order(reverse, reverse_creation): + g = build(2, [(0, 1, 3, 1)]) + p = n.FlowPolicy(n.FlowLedger(g), 0, 1, weighted([1, 0])) + program = p.replace(3).program + ledger = n.FlowLedger(g) + first = n.FlowPolicy( + ledger, 0, 1, config(n.Pinned(program), admission=n.Admission.LOSSY) + ) + second = n.FlowPolicy( + ledger, 0, 1, config(n.Pinned(program), admission=n.Admission.LOSSY) + ) + a, b = (second, first) if reverse_creation else (first, second) + owners = [b, a] if reverse else [a, b] + r = n.apply_actions( + ledger, [n.Replace(q, 3) for q in owners], mode=n.BatchMode.SIMULTANEOUS + ) + assert [x.delivered for x in r] == [2 if q is first else 1 for q in owners] + assert first.delivered() == 2 and second.delivered() == 1 + first.remove() + second.remove() + r = n.apply_actions(ledger, [n.Replace(q, 3) for q in owners]) + assert [x.delivered for x in r] == [3, 0] + + +@pytest.mark.parametrize("count", [1, 2, 3, 4, 5, 16, 17, 40]) +@pytest.mark.parametrize("unequal", [False, True]) +def test_cumulative_captured_weights_cross_sixty_four_bits(count, unequal): + weights = [M - i if unequal else M for i in range(count)] + g = build(count + 1, [(i, count, 5, 1) for i in range(count)]) + p = n.FlowPolicy( + n.FlowLedger(g), list(range(count)), count, weighted(weights + [0]) + ) + program = p.replace(count).program + q = n.FlowPolicy( + n.FlowLedger(g), + list(range(count)), + count, + config(n.Pinned(program), admission=n.Admission.LOSSY), + ) + total = 0 + for x in [M, M, M, 7, M, 5, 17, 0, 1]: + try: + r = q.place(x) + except RuntimeError as error: + raise AssertionError("a valid cumulative offer must succeed") from error + total += x + assert [s.offered for s in r.by_source] == ha(total, weights) + assert r.offered == r.requested == total + assert r.delivered + r.source_drops + sum(v for _, v in r.edge_drops) == total + + +def test_owned_weights_and_all_evaluator_readers(): + data = next(c["input"] for c in CASES if c["id"] == "W-witness") + g = build(6, data["edges"]) + weights = np.array(data["source_weights"], dtype=np.int64) + cfg = weighted(weights) + weights[:] = 0 + assert cfg.routing.source_weights == (2, 1, 0, 0, 0, 0) + with pytest.raises(AttributeError): + cfg.routing.source_weights = (0,) * 6 + opts = n.EvaluationOptions(cfg, offer=15, outputs=OUT) + want = n.evaluate_demand(g, [1, 0, 1], 5, opts) + assert [s.delivered for s in want.by_source] == [10, 5] + for workers in (1, 2, 4): + results = n.evaluate_pairs( + g, [([0, 1], [5]), ([1, 0, 1], [5])], opts, workers=workers + ) + assert all(plain(r) == plain(want) for r in results) + failures = n.evaluate_edge_failures(g, [0, 1], 5, opts, workers=workers) + for entry in failures.entries: + deleted = g.eligibility(excluded_edges=[entry.edge]) + r = n.evaluate_demand( + g, [0, 1], 5, n.EvaluationOptions(cfg, eligibility=deleted, offer=15) + ) + assert entry.delivery_reduction == want.delivered - r.delivered + program = want.program + del opts, want, weights, cfg, results, failures + gc.collect() + q = n.FlowPolicy(n.FlowLedger(g), [0, 1], 5, config(n.Pinned(program))) + assert [s.delivered for s in q.replace(15).by_source] == [10, 5] + + +def test_edge_failures_recompute_unused_zero_capacity_roster_edge(): + g = build(3, [(0, 2, 0, 1), (1, 2, 10, 1)]) + opts = n.EvaluationOptions(weighted([2, 1, 0])) + r = n.evaluate_edge_failures(g, [0, 1], 2, opts, workers=2) + assert r.baseline.delivered == 0 + assert [(e.edge, e.delivery_reduction) for e in r.entries] == [(0, -10), (1, 0)] + + +def test_small_integer_objective_with_masks_and_support(): + rng = random.Random(20261022) + for _ in range(45): + edges = [ + (0, 2, rng.randrange(3), 1), + (0, 3, rng.randrange(3), 7), + (1, 2, rng.randrange(3), 3), + (1, 3, rng.randrange(3), 1), + (2, 3, rng.randrange(3), 1), + ] + g = build(4, edges) + weights = [rng.randrange(4), rng.randrange(4)] + allowed = [rng.randrange(4) != 0 for _ in edges] + # Capacity-blind reachability; support is independently selected from the DAG. + roster = [ + s + for s in (0, 1) + if any( + allowed[e] + and a == s + and ( + b == 3 + or any( + allowed[j] and c == b and d == 3 + for j, (c, d, *_x) in enumerate(edges) + ) + ) + for e, (a, b, *_x) in enumerate(edges) + ) + ] + effective = [weights[s] for s in roster] + best = {0: 0} + for f in itertools.product( + *( + range(c + 1) if allowed[i] else [0] + for i, (_a, _b, c, _k) in enumerate(edges) + ) + ): + bal = [0] * 4 + for x, (a, b, _c, _k) in zip(f, edges, strict=True): + bal[a] += x + bal[b] -= x + t = bal[0] + bal[1] + shares = dict(zip(roster, sequential(t, effective), strict=True)) + if bal[2] or any(bal[s] != shares.get(s, 0) for s in (0, 1)): + continue + cost = sum(x * edge[3] for x, edge in zip(f, edges, strict=True)) + best[t] = min(best.get(t, cost), cost) + top = max(best) + assert sorted(best) == list(range(top + 1)) + # Map input positions to sorted EdgeId for support/masks and exact cost. + support = dag_of( + g, [e for e, pos in enumerate(g.input_positions()) if allowed[int(pos)]] + ) + cfg = weighted(weights + [0, 0], support=support) + for offer in (0, 1, 5, math.inf): + r = n.evaluate_demand( + g, + [0, 1], + 3, + n.EvaluationOptions( + cfg, offer=None if offer == math.inf else offer, outputs=OUT + ), + ) + t = top if offer == math.inf else min(top, offer) + assert (r.delivered, r.total_cost) == (t, best[t]) + assert [s.delivered for s in r.by_source] == [ + dict(zip(roster, ha(t, effective), strict=True)).get(s, 0) + for s in (0, 1) + ] + + +def test_source_vector_and_model_refusals_before_zero_offer(): + g = build(3, [(0, 2, 2, 1), (1, 2, 2, 1)]) + for model, message in ( + ( + n.CentralizedTE( + source_allocation=n.SourceAllocation.WEIGHTED, + source_weights=[1, 0, 0], + tunnel_count=n.TunnelCount(1), + ), + "source_allocation=WEIGHTED requires CentralizedTE without tunnel_count", + ), + ( + n.ShortestPaths(source_allocation=n.SourceAllocation.WEIGHTED), + "source_allocation=WEIGHTED requires CentralizedTE without tunnel_count", + ), + ( + n.CentralizedTE(source_allocation=n.SourceAllocation.WEIGHTED), + "source_allocation=WEIGHTED requires source_weights", + ), + ): + with pytest.raises(ValueError, match=exact(message)): + n.evaluate_demand(g, 0, 2, n.EvaluationOptions(config(model), offer=0)) + for weights, message in ( + ([1, 0], "source_weights: expected 3 entries"), + ([-1, 0], "source_weights: expected 3 entries"), + ([0, M + 1], "source_weights: expected 3 entries"), + ([1, 0, 0, M + 1], "source_weights: expected 3 entries"), + ([1, 0, -1], "source_weights[2] must be an integer in [0, 2^62)"), + ([1, 0, M + 1], "source_weights[2] must be an integer in [0, 2^62)"), + ): + with pytest.raises(ValueError, match=exact(message)): + n.evaluate_demand(g, 0, 2, n.EvaluationOptions(weighted(weights), offer=0)) + with pytest.raises(ValueError, match=exact(message)): + n.FlowPolicy(n.FlowLedger(g), 0, 2, weighted(weights)) + assert ( + n.evaluate_demand( + g, 0, 2, n.EvaluationOptions(weighted([M, 0, 0]), offer=0) + ).delivered + == 0 + ) + + +def test_support_black_holes_zero_calls_and_list_refusals(): + g = build(3, [(0, 2, 10, 1), (1, 2, 10, 1)]) + ledger = n.FlowLedger(g) + p = n.FlowPolicy(ledger, [0, 1], 2, weighted([2, 1, 0])) + zero = p.place(0) + assert zero.program is None and zero.termination == n.Termination.COMPLETE + assert not ( + zero.routes_changed or zero.weights_changed or zero.reservations_changed + ) + program = p.replace(3).program + mask = g.eligibility(excluded_nodes=[0]) + repaired = n.FlowPolicy( + n.FlowLedger(g), + [0, 1], + 2, + config(n.Pinned(program), admission=n.Admission.LOSSY), + eligibility=mask, + ) + stale = n.FlowPolicy( + n.FlowLedger(g), + [0, 1], + 2, + config(n.Pinned(program, black_holes=mask), admission=n.Admission.LOSSY), + ) + a, b = repaired.replace(3), stale.replace(3) + assert [r.delivered for r in a.by_source] == [0, 3] + assert [r.delivered for r in b.by_source] == [0, 1] + assert b.source_drops + sum(x for _, x in b.edge_drops) == 2 + assert program.source_weights == ((0, 2), (1, 1)) + saved = ledger_state(ledger) + with pytest.raises( + ValueError, + match=exact( + "SIMULTANEOUS Replace requires ShortestPaths EQUAL or WEIGHTED, or Pinned" + ), + ): + n.apply_actions(ledger, [n.Replace(p, 3)], mode=n.BatchMode.SIMULTANEOUS) + with pytest.raises(ValueError, match=exact("SIMULTANEOUS does not accept Place")): + n.apply_actions(ledger, [n.Place(p, 0)], mode=n.BatchMode.SIMULTANEOUS) + assert ledger_state(ledger) == saved + r = p.replace(0) + assert r.termination == n.Termination.COMPLETE and r.program.source_weights == ( + (0, 2), + (1, 1), + ) + supported = weighted([2, 1, 0], support=dag_of(g, [1])) + r = n.evaluate_demand(g, [0, 1], 2, n.EvaluationOptions(supported, outputs=OUT)) + assert r.edge_flows.tolist() == [0, 10] and [s.delivered for s in r.by_source] == [ + 0, + 10, + ] + + +def test_wide_cost_and_zero_effect_participants_across_program_forms(): + g = build(2, [(0, 1, M, M)]) + r = n.evaluate_demand(g, 0, 1, n.EvaluationOptions(weighted([M, 0]), outputs=OUT)) + assert type(r.total_cost) is int and r.total_cost == M * M + data = CASES[0]["input"] + g = build(6, data["edges"]) + empty = n.evaluate_demand( + g, [0, 1], 5, n.EvaluationOptions(weighted([0] * 6)) + ).program + positive = n.evaluate_demand( + g, [0, 1], 5, n.EvaluationOptions(weighted([2, 1, 0, 0, 0, 0])) + ).program + dag = dag_of(g, range(g.num_edges())) + models = [ + n.Pinned(positive), + n.ShortestPaths(), + n.Pinned(n.ForwardingProgram.from_dag(g, [0, 1], 5, dag)), + n.Pinned( + n.ForwardingProgram.from_routes( + g, [0, 1], 5, [n.RouteDefinition(0, dag), n.RouteDefinition(1, dag)] + ) + ), + ] + for model in models: + for offer in (0, 7): + ledger = n.FlowLedger(g) + p = n.FlowPolicy( + ledger, [0, 1], 5, config(model, admission=n.Admission.LOSSY) + ) + zero = n.FlowPolicy( + ledger, [0, 1], 5, config(n.Pinned(empty), admission=n.Admission.LOSSY) + ) + base = n.apply_actions( + ledger, [n.Replace(p, 19)], mode=n.BatchMode.SIMULTANEOUS, outputs=OUT + )[0] + p.remove() + got = n.apply_actions( + ledger, + [n.Replace(zero, offer), n.Replace(p, 19)], + mode=n.BatchMode.SIMULTANEOUS, + outputs=OUT, + )[1] + assert plain(got) == plain(base) + + +def test_transit_through_another_source_and_installed_flags(): + g = build(3, [(0, 1, 5, 1), (1, 2, 10, 1)]) + ledger = n.FlowLedger(g) + p = n.FlowPolicy(ledger, [0, 1], 2, weighted([1, 1, 0])) + first = p.replace(math.inf, outputs=OUT) + assert first.delivered == 10 and first.total_cost == 15 + assert [r.delivered for r in first.by_source] == [5, 5] + assert first.edge_flows.tolist() == [5, 10] + assert [r.delivered for r in p.records()] == [5, 5] + assert ( + first.routes_changed + and first.weights_changed + and not first.reservations_changed + ) + r = p.forward(8) + assert r.delivered == 8 + assert not (r.routes_changed or r.weights_changed or r.reservations_changed) + zero = p.place(0) + assert not ( + zero.routes_changed or zero.weights_changed or zero.reservations_changed + ) + + +def check_live_rows(result, rows, undelivered): + actual = dict( + by_tunnel=[ + [ + r.entry_id, + r.head, + r.status.name, + r.assigned, + r.delivered, + r.total_edge_drops, + ] + for r in result.by_tunnel + ], + call_undelivered=result.call_undelivered, + ) + subset(actual, dict(by_tunnel=rows, call_undelivered=undelivered)) + + +@pytest.mark.parametrize("offer", [3, 7]) +def test_live_tunnel_rows_and_undelivered_across_readers(offer): + g = build(2, [(0, 1, 5, 1)]) + cfg = weighted([1, 0]) + for operation in ("place", "replace", "evaluate"): + for ordered in (False, True): + ledger = n.FlowLedger(g) + p = n.FlowPolicy(ledger, 0, 1, cfg) + if ordered and operation != "evaluate": + action = ( + n.Place(p, offer) if operation == "place" else n.Replace(p, offer) + ) + r = n.apply_actions(ledger, [action], outputs=OUT)[0] + else: + r = getattr(p, operation)(offer, outputs=OUT) + check_single_edge_result(r, offer) + options = n.EvaluationOptions(cfg, offer=offer, outputs=OUT) + check_single_edge_result(n.evaluate_demand(g, 0, 1, options), offer) + for workers in (1, 2, 4): + for r in n.evaluate_pairs(g, [([0], [1])] * 5, options, workers=workers): + check_single_edge_result(r, offer) + check_single_edge_result( + n.evaluate_edge_failures(g, 0, 1, options, workers=workers).baseline, offer + ) + + +def test_live_tunnel_row_schema_rejects_missing_null_and_wrong_distribution(): + expected = dict( + by_tunnel=[[0, 0, "UP", 3, 3, 0], [1, 0, "UP", 8, 8, 0], [2, 1, "UP", 5, 5, 0]], + call_undelivered=0, + ) + subset(expected, expected) + bad_values = [ + dict(), + dict(by_tunnel=None, call_undelivered=0), + dict(by_tunnel=[], call_undelivered=0), + ] + for key in expected: + bad = copy.deepcopy(expected) + del bad[key] + bad_values.append(bad) + bad = copy.deepcopy(expected) + bad[key] = None + bad_values.append(bad) + bad = copy.deepcopy(expected) + bad["call_undelivered"] = 1 + bad_values.append(bad) + for i in range(3): + for j in range(6): + for replacement in ( + None, + "FAILED" if j == 2 else expected["by_tunnel"][i][j] + 1, + ): + bad = copy.deepcopy(expected) + bad["by_tunnel"][i][j] = replacement + bad_values.append(bad) + for j in (3, 4, 5): + bad = copy.deepcopy(expected) + bad["by_tunnel"][0][j] += 1 + bad["by_tunnel"][1][j] -= 1 + bad_values.append(bad) + for bad in bad_values: + with pytest.raises((AssertionError, TypeError)): + subset(bad, expected) + data = next(c["input"] for c in CASES if c["id"] == "W-witness") + g = build(6, data["edges"]) + r = n.evaluate_demand( + g, + [0, 1], + 5, + n.EvaluationOptions(weighted(data["source_weights"]), offer=16, outputs=OUT), + ) + check_live_rows(r, expected["by_tunnel"], 0) + + +@pytest.mark.parametrize("admission", [n.Admission.LOSSY, n.Admission.LOSSLESS]) +def test_remaining_zero_captured_weights_with_a_program_path(admission): + g = build(3, [(0, 2, 10, 1), (1, 2, 10, 1)]) + program = n.evaluate_demand( + g, [0, 1], 2, n.EvaluationOptions(weighted([2, 0, 0]), offer=5) + ).program + assert len(program.tunnels) == 1 and program.source_weights == ((0, 2), (1, 0)) + mask = g.eligibility(excluded_nodes=[0]) + p = n.FlowPolicy( + n.FlowLedger(g), + [0, 1], + 2, + config(n.Pinned(program), admission=admission), + eligibility=mask, + ) + for method in (p.replace, p.evaluate, p.place): + p.remove() + r = method(4, outputs=OUT) + assert r.termination == n.Termination.NO_ACTIVE_WEIGHT + assert r.delivered == 0 and r.call_undelivered == 4 + assert r.source_drops == (4 if admission == n.Admission.LOSSY else 0) + assert r.unadmitted == (0 if admission == n.Admission.LOSSY else 4) + assert all(s.delivered == s.source_drops == 0 for s in r.by_source) + + +def check_single_edge_result(r, offer): + carried = min(offer, 5) + check_live_rows(r, [[0, 0, "UP", carried, carried, 0]], offer - carried) + assert r.delivery_delta == r.call_delivered == r.delivered == carried + assert r.call_edge_drops == r.edge_drops == [] + assert r.call_source_drops == r.source_drops == 0 + assert r.requested == offer and r.admitted == carried + assert r.unadmitted == offer - carried and r.offered is None + assert r.termination == ( + n.Termination.COMPLETE if offer <= 5 else n.Termination.EXHAUSTED + ) + assert r.routes_changed and r.weights_changed and not r.reservations_changed + assert r.program is not None and r.program.source_weights == ((0, 1),) + assert [ + (t.entry_id, t.head, list(t.edges), t.weight, t.path_cost) + for t in r.program.tunnels + ] == [(0, 0, [0], carried, 1)] + assert r.plan is r.min_cut is r.marginal_cost_curve is None + assert r.total_cost == carried + assert [ + ( + s.source, + s.offered, + s.admitted, + s.delivered, + s.source_drops, + s.total_edge_drops, + ) + for s in r.by_source + ] == [(0, None, carried, carried, 0, 0)] + assert r.edge_flows.tolist() == [carried] + assert r.residual.tolist() == [5 - carried] + assert r.edge_reservations.tolist() == [0] + assert r.saturated_boundary_edges == ([0] if carried == 5 else []) diff --git a/tests/typing/invalid_client.py b/tests/typing/invalid_client.py index 4c181b9..3f92dac 100644 --- a/tests/typing/invalid_client.py +++ b/tests/typing/invalid_client.py @@ -133,3 +133,8 @@ class BothResolution(IndexResolution, FloatResolution): ng.Graph(2, [0], [1], [10], [1], BothResolution()) # expect: reportArgumentType ng.Graph(2, [0], [1], [10], [1], np.array(1.0)) # expect: reportArgumentType + +ng.CentralizedTE( + source_allocation=ng.SourceAllocation.WEIGHTED, + source_weights=[1.5], # expect: reportArgumentType +) diff --git a/tests/typing/valid_client.py b/tests/typing/valid_client.py index a6c5e0e..b7fbf32 100644 --- a/tests/typing/valid_client.py +++ b/tests/typing/valid_client.py @@ -328,3 +328,13 @@ def __getitem__(self, index: int) -> int: assert ng.EvaluationOptions( ng.FlowPolicyConfig(routing=ng.ShortestPaths()), offer=units_inf ).offer == float("inf") + +# Prescribed source weights are owned immutable node-indexed values. +weighted_sources = ng.CentralizedTE( + source_allocation=ng.SourceAllocation.WEIGHTED, source_weights=range(g.num_nodes()) +) +assert_type(weighted_sources.source_weights, tuple[int, ...] | None) +ng.CentralizedTE( + source_allocation=ng.SourceAllocation.WEIGHTED, + source_weights=np.zeros(g.num_nodes(), dtype=np.int64), +) From 0884f1f2fefb5e051759ed2057d2ba2991f57d58 Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Sun, 25 Oct 2026 02:24:39 +0000 Subject: [PATCH 30/39] Docs: plain and exact explanations for 0.12.0 The semantics reference, README, binding docstrings (and the generated stub) explain each rule in plain words first, then exactly, with small worked examples that run as shown. Statements that were false or too broad are corrected, implementation notes are replaced by the guarantees they serve, and the 0.12.0 changelog says what changed against 0.11.0. Co-Authored-By: Claude Opus 5.5 --- CHANGELOG.md | 700 +------ README.md | 317 ++- bindings/python/apply_actions.cpp | 4 +- bindings/python/evaluators.cpp | 12 +- bindings/python/flow_policy.cpp | 12 +- bindings/python/flow_policy_config.cpp | 7 +- bindings/python/forwarding_program.cpp | 7 +- bindings/python/options.cpp | 4 +- bindings/python/path_enumeration.cpp | 6 +- bindings/python/placement_result.cpp | 32 +- bindings/python/routing_models.cpp | 62 +- bindings/python/search.cpp | 4 +- bindings/python/units.cpp | 28 +- docs/semantics.md | 2628 +++++++++++++++--------- python/netgraph_core/__init__.py | 14 +- python/netgraph_core/__init__.pyi | 192 +- tests/py/removed_names.txt | 268 +++ tests/py/removed_names_reviewed.txt | 142 +- tests/py/test_docs_examples.py | 2 +- tests/py/test_removed_names.py | 22 +- tests/py/test_route_structures.py | 2 +- tests/py/test_shortest_path_cache.py | 2 +- 22 files changed, 2331 insertions(+), 2136 deletions(-) create mode 100644 tests/py/removed_names.txt diff --git a/CHANGELOG.md b/CHANGELOG.md index a8adc71..893a3d6 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -7,645 +7,81 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ## [Unreleased] -A rebuilt Core (breaking): one numeric domain (integer units), one flow core, one placement -engine with four routing models, forwarding programs and three evaluators. It replaces the 0.11 -API. - -### Added - -- `SourceAllocation.WEIGHTED` for CentralizedTE without tunnels, with immutable node-indexed - `source_weights`. The controller maximizes delivery at exact highest-averages source shares, - then minimizes cost; saved programs retain declared weights for replay. All-zero roster - weights produce NO_ACTIVE_WEIGHT; Pinned replay retains its existing termination rules. - Existing source-allocation results are unchanged. - -- **Several demands at once**: `apply_actions(ledger, actions, *, mode=BatchMode.ORDERED, - outputs=None)` runs `Place(policy, offer)`, `Replace(policy, offer, *, design_demand=None)` and - `Forward(policy, offer, *, black_holes=None)` actions of several policies of one ledger as one - transaction: validated whole in two passes (arguments and immutable objects for every action, - then mutable state under the ledger gate, each pass in list order), then computed, then published - once, with one `PlacementResult` per action in input order. The actions are immutable values - that keep their policy and black holes alive and their offers as given. `BatchMode.ORDERED` runs - each action as its scalar call on the state the earlier ones left (earlier actions are served - first; a hold protects nothing); new FlowIds follow list order. `BatchMode.SIMULTANEOUS` takes - `Replace` of `ShortestPaths` `EQUAL` or `WEIGHTED` and of `Pinned` and `Forward` of any installed - program, every one LOSSY with a finite offer, and forwards them at the same time on one view (the - residual plus every participant's old traffic; outside owners, orphans and holds stay): a full - edge is shared by highest averages over the demands (ties by policy creation order, never list - position), then within a demand over its heads, then its entries; a pooled demand's router - attributes each member's amount to its sources; each participant's black holes are its own; - loss cycles across demands are recalculated in rounds as within one program. Outputs read the - state after each action (ORDERED) or after the whole list (SIMULTANEOUS). The forwarding size - limits and the record identity limit count the whole list. C++: `apply_actions(FlowLedger&, - std::span, BatchMode, const OutputOptions&)` with `Action = std::variant`. +**BREAKING.** The Core is rebuilt and its whole API changes: the graph works on integer units, one +placement engine with four routing models takes the place of the 0.11 policy and algorithm +objects, and three evaluators take the place of the 0.11 max-flow, batch max-flow and sensitivity +calls. No 0.11 name survives as an alias or a warning. [docs/semantics.md](docs/semantics.md) states +the new behaviour exactly. ### Changed -- **Static ShortestPaths preparation**: an EQUAL or WEIGHTED `ShortestPaths` policy with - `FEWER_HOPS` or `HIGHER_CAPACITY` and static weights keeps its own program across epochs instead - of preparing it again. Removal still clears - the installed program and retires records; later calls forward on the current residual with - fresh record IDs and results equal to fresh preparation. Dynamic scores, residual snapshot - weights and OPTIMIZED allocation retain their existing computation. `evaluate` reads an - already retained preparation without installing one; ShortestPathCache behavior is unchanged. -- **Performance tooling**: A/B/A harness builds use 64-byte function alignment on both the - reference and candidate to reduce timing variation due to code placement. Wheel build flags are unchanged. -- **Exact sensitivity**: unrestricted optimized `CentralizedTE` with a maximum baseline uses - residual-component certificates, or stops a deletion repair when its - scalar loss is known. The complete baseline, candidate order and reductions are preserved; - every actual repair resets independently and publishes no intermediate allocation. Binding - finite offers and other model domains retain their existing computation. -- **K shortest paths**: alternatives retain their generating spur index and skip searches - in earlier prefix regions (Lawler’s partition), preserving complete path order, exact tie - keys, masks and cost ceilings. -- **Concurrency**: native work releases the GIL. One gate per ledger protects reads and whole - scalar/list publications; independent ledgers run in parallel. Policy construction and evaluators - take one optional building-exclusive or frozen-shared cache lease, with FIFO lifecycle admission; - workers borrow that lease. Native first-pass checks release the GIL before any lease or gate: - the tunnel-limit roster search in policy construction and the evaluators (once per pair in a - batch), and `from_routes`' walk of each supplied PredecessorDAG. `evaluate_pairs`' workers and - the other evaluators' main evaluation reuse the checked rosters; each deletion of - `evaluate_edge_failures` searches under its own mask. Immutable reads remain lock-free. cp314t detaches thread state - before native waits. Publishing calls prepare Python results before native work; reads wrap - owned snapshots after unlocking. `FlowPolicy` is final in Python, and failed construction - leaves an unconstructed object that raises a clean `TypeError`. -- **Validation order**: argument and immutable checks run first, then mutable-state checks under - the ledger gate or cache lease. Invalid offers, black holes and later list actions now precede - missing-program/epoch errors; evaluator argument errors precede the building-cache worker rule. - With a frozen empty cache, an invalid offer now precedes a cache miss in all three evaluators, - and no miss is counted. -- **Cache clear**: its frozen-cache refusal now says to thaw it, then clear it; thaw waits for readers itself. -- **C++ signatures**: `FlowPolicy::program()`, `ShortestPathCache::freeze()` and `thaw()` can fail - while acquiring a native lock and are no longer `noexcept`. Policy destruction remains - `noexcept` and allocates nothing. A moved-from ledger retains its immutable graph owner so - existing graph references remain valid; its public calls still reject the unusable ledger. - -- **Graph**: `Graph(num_nodes, edge_sources, edge_destinations, edge_capacity_units, edge_costs, - resolution)` (replacing 0.11's `StrictMultiDiGraph`) is the one constructor: capacities are - `int64` units of an explicit resolution (a power of two in `[2^-32, 2^32]`), costs are positive - integers, and the public `EdgeId` is the rank of an edge in `(source, cost, destination, input)` - with `input_positions()` mapping ids to input positions. Validation reports the first defect in - a fixed order (the resolution, the unit values, the shapes, zero or negative costs, the remaining - bounds including the cost-sum guard), on the exact integers also beyond int64. Accessors - (`edge_capacity_units()`, `edge_costs()`, `edge_sources()`, `edge_destinations()`, - `outgoing_offsets()`, `incoming_offsets()`, `incoming_edges()`) return read-only NumPy views - that keep their graph alive, also when empty; `max_edge_cost()` and `edge_cost_gcd()` read the - costs. - Construction numbers the edges by counting sort, in expected time linear in edges plus nodes - for typical costs; above 65,536 distinct costs, or when the hash table that ranks the costs - examines too many slots, it sorts all costs instead. Moving a graph no longer allocates. - `Eligibility` is built from excluded node ids and EdgeIds, with `Eligibility.intersect(a, b)`. - `to_units` (round half up) and `as_float` are the only conversions between physical values and - units. -- **Route structures**: `PredecessorDAG.from_csr(graph, parent_offsets, parents, via_edges)` with - the complete validation (shape, ranges, endpoints, duplicates, cycles, ascending via within a - node); a DAG is stored over its member nodes and presents the CSR shape on demand. - `Path(graph, hops)` with `source()`, `destination()`, `cost()` and `to_dag()`. -- **Route choice**: one tie rule, `RouteTieBreak` (`FEWER_HOPS`, the default, `HIGHER_CAPACITY`, - `HIGHER_AVAILABLE_CAPACITY`, `HIGHER_HEADROOM`): cost first, then for a `HIGHER_*` value the - larger bottleneck of its edge score (static capacity, the availability of the search, or their - exact ratio), then fewer hops, then the smaller EdgeId sequence. `multipath: bool` (every - equal-cost route, or the canonical path; `ShortestPaths` and `spf` only) and `parallel_edges: - bool` (every parallel link, or one per pair) sit on the model or the search options. A - `HIGHER_*` rule with every route and every parallel edge kept has nothing to choose and is - rejected (`spf tie_break requires multipath=False or parallel_edges=False`, `ShortestPaths - tie_break requires multipath=False or parallel_edges=False`). The tie rule never supplies - weights. -- **Ledger**: `FlowLedger(graph, service_baseline=None, *, reservation_baseline=None)` - (replacing 0.11's `FlowGraph`) is the integer ledger, in two projections that are never added: - the carried traffic (`carried()`, `residual()`) and the strict holds of T1 tunnels - (`reserved()`, `unreserved()`), each baseline validated within `[0, edge_capacity_units]`. - Records as snapshots in FlowId order (`records()`, `record(flow_id)` with `FlowId = (ledger uid, - id)`, ids never reused), `edge_capacity_units()`, `saturated_boundary_edges(sources, - eligibility=None)` (the carried traffic only), `reset(service_baseline=None, *, - reservation_baseline=None)` and `copy()` (both rejected while a policy is bound; `reset()` clears - the records and holds a destroyed policy left behind; a copy keeps the holds). `FlowRecord` - carries `flow_id`, `policy_id`, the endpoints as sets, `admission`, `entry_id` (the program entry - a T1, T2 or Pinned record carries), `route` (a `PredecessorDAG`), `min_route_cost`, `offered` - (Lossy only), `delivered`, `edge_flows`, `edge_drops` and `edge_reservations`; counters are - 128-bit (exact Python ints). Policies place, hold and remove; holds never police traffic. -- **Route allocations**: `RouteAllocation` (`EQUAL`, `WEIGHTED`, `OPTIMIZED`) and `Admission` - (`LOSSLESS`, `LOSSY`). `EQUAL` splits equally by round robin from the lowest EdgeId; `WEIGHTED` - splits by highest averages (D'Hondt, EdgeId ties) over integer weights frozen when the program - is prepared, from a `WeightBasis` (`CAPACITY`, `EXPLICIT` with `edge_weights`, - `RESIDUAL_SNAPSHOT`); `OPTIMIZED` re-solves the flow with the flow core on its route over the - free capacity plus its own allocation; Lossy splits each offer per call and records the drops on - each edge and what is lost at a source. -- **Configuration**: `FlowPolicyConfig(*, routing, admission=LOSSLESS)` holds the routing model - and the admission; every other option belongs to the model that reads it: - `ShortestPaths(*, allocation=EQUAL, source_allocation=None, weight_basis=None, - edge_weights=None, tie_break=FEWER_HOPS, multipath=True, parallel_edges=True)` (ECMP by - default; `WEIGHTED` is WCMP; `OPTIMIZED` a controller restricted to the shortest routes), - `DistributedTE(tunnel_count, *, cost_ceiling=None, min_unreserved_bandwidth=0, - tie_break=FEWER_HOPS, parallel_edges=True)` (T1), `CentralizedTE(*, source_allocation, source_weights=None, - support=None, tunnel_count=None, prefer_headroom=False)` (the source allocation is required; - with `tunnel_count`, T2) and `Pinned(program, *, black_holes=None)`; `TunnelCount(per_head, *, - up_to=False)`. `SourceAllocation` (`EQUAL`, `WEIGHTED`, `OPTIMIZED`) says how a demand's total enters at its - sources; `WEIGHTED` requires explicit `source_weights` and CentralizedTE without `tunnel_count`. - Every configuration value is immutable (read-only fields; a model's `edge_weights` and - `source_weights` are shared arrays) and validated in two stages: construction raises `TypeError` for an unknown - keyword (every field of another model included), a missing required argument, `None` where none - is allowed, a bool field given anything but a `bool` or `numpy.bool_`, and an integer field - given a non-integer (`TunnelCount per_head must be an integer (got bool)`); a policy or an - evaluator raises `ValueError` for the rest, in a stated order: the endpoints, the ownership of - the mask, program, support, cache and black holes, the enumeration values, the model matrix - (route and source allocation, admission, the route-choice rules including the pooled - single-path rule, `prefer_headroom requires tunnel_count`, the weight combinations, and last a - cache on a model that does not read it), then the models' own fields, the tunnel limit and - Pinned's endpoints. A policy's `config` is the configuration it was built with, - `ShortestPaths`' absent source allocation and weight basis resolved. -- **Policies**: `FlowPolicy(ledger, sources, destinations, config, eligibility=None, cache=None)` - is the one placement engine. `place(offer, outputs=None)` forwards `ShortestPaths`' pooled - program or re-solves the controllers (`CentralizedTE` and `ShortestPaths` `OPTIMIZED`: the - cumulative minimum-cost flow on the residual plus the policy's own allocation, under either - source allocation); T1 and T2 have no `place`. `evaluate(offer, *, design_demand=None)` computes - a whole new offer on the policy's released view and publishes nothing, `replace(offer, *, - design_demand=None)` publishes it (new records, a new epoch; `design_demand` is the tunnel - models' design, `None` meaning the offer), `forward(offer, *, black_holes=None)` sends a whole - new offer over the installed program (no route computation; T1's holds and T2's plan kept), and - `remove()`, `records()`, `record(flow_id)`, `delivered()`, `config` and `program` complete the - policy. Every call returns `PlacementResult`: this call's `call_delivered`, - `call_undelivered`, `delivery_delta`, `call_edge_drops`, `call_source_drops`, `termination` - (`COMPLETE`, `NO_ROUTE`, `EXHAUSTED`, `NO_ACTIVE_WEIGHT`) and the flags `routes_changed`, - `weights_changed` and `reservations_changed`; the demand's `requested`, `offered`, `admitted`, - `delivered`, `unadmitted`, `source_drops`, `edge_drops`, `by_source` (`SourceFlow` rows), - `by_tunnel` (`TunnelFlow` rows), `total_cost`, `marginal_cost_curve`, `program` and `plan` (the - tunnel models' `TunnelPlan`); and `edge_flows`, `residual`, `saturated_boundary_edges`, - `edge_reservations` and `min_cut` when requested through `OutputOptions`. An offer of 0 is - validated like any other. -- **Pooled sources**: a demand with several sources is one demand. `ShortestPaths` with `EQUAL` - or `WEIGHTED` prepares one program per epoch at its first positive call (each roster source's - selected route on the residual at that call's entry; their union), splits the traffic of all - sources once at every router they share, and gives each source its part by highest averages - (records sum exactly to the totals); Lossless admits the largest equal total that fits with no - drop, so a source that cannot pass anything holds the demand at the number of sources before it. - `ShortestPaths` `OPTIMIZED` is one controller on the union of the sources' routes, as - `CentralizedTE` is on the whole graph. With several sources, `multipath=False` requires - `tie_break=FEWER_HOPS` (`ShortestPaths with multiple input sources requires tie_break=FEWER_HOPS - when multipath=False`). -- **T1 tunnels**: `DistributedTE(TunnelCount(N))` models distributed RSVP-TE head ends, with no - controller. A design volume D is split by round robin over the roster heads and each head's - share over its N tunnels; in round order (round `j`, heads ascending: entry identifier - `j * H + i`) each tunnel runs CSPF on the unreserved capacity (the ledger's, this policy's own - holds released, minus this setup's earlier tunnels): the allowed links with at least - `max(request, min_unreserved_bandwidth)` units, then the member rule with - `parallel_edges=False`, then the canonical single path on static costs with the tie scores read - on that view, then the cost ceiling (`AbsoluteCost` inclusive; `CostStretch` relative to the - smallest static shortest cost over all roster heads, one pool baseline). A tunnel is `UP` and - holds its request on every link of its path, or down (`INSUFFICIENT_BANDWIDTH`, - `COST_CEILING_EXCEEDED`) with no path and weight 0. Traffic enters by round robin over the heads - and then over each head's up tunnels; a head with no up tunnel loses its share. -- **Exact cost stretch**: `CostStretch(factor)` is one exact reduced fraction: a `Fraction` as it - is, an integer as `n/1`, a float (Python or NumPy) as `Fraction(str(f))`, the decimal it prints, - so `CostStretch(1.2)` is exactly 6/5; a bool or another type raises `TypeError`, a NaN or an - infinity `ValueError`. `factor` returns the `Fraction`; equality, hash and `repr` follow it. A - ceiling compares `cost * d <= n * c0` exactly in 128 bits. A factor below 1 is refused where the - ceiling is used (`cost_ceiling CostStretch factor must be >= 1 (got /)`); a ceiling of - another type is `TypeError("cost_ceiling must be AbsoluteCost, CostStretch or None")` in - `DistributedTE` and `ksp` alike. -- **T2 tunnels**: `CentralizedTE(source_allocation=..., tunnel_count=TunnelCount(N))` models a - central controller: every live head (one reaching a destination over links with free capacity - of at least one unit; the others are dead, keep their roster position and lose their share) gets - N single-path tunnels with one common whole-unit planned bandwidth. The largest common size U - comes from quota flows, with the exact fluid optimum as a `Fraction`; a finite design lowers it - to the largest live design share per tunnel; then, among the count vectors at that size, the - smallest route-cost sum, then with `prefer_headroom=True` the smallest headroom penalty, then one - canonical unit-by-unit augmentation; tunnels in round order with identifier `j * H + i` (dead - heads leave holes), weight 1, `planned_bandwidth` u, never held. `TunnelCount(L, up_to=True)` - chooses the smallest common count up to L whose program carries the live part of the design. - If no count carries that share, it chooses the greatest score, then the smallest count; this does - not promise whole-demand delivery. - No live head, or no whole unit per tunnel (`insufficient_resolution`), installs a program - without tunnels that keeps the roster. `OPTIMIZED` source allocation only with one input source. - With a `support`, T2 uses only the support's edges allowed by the policy's mask, in every step, - and gives what the same configuration gives with those edges composed into the mask. -- **Forwarding programs**: `ForwardingProgram`, the routes and integer weights of one demand - (tunnels `Tunnel`, split routes) with its injection (equal sources, or the captured source - weights of an optimized controller). Every computing model produces one (`policy.program`, - `result.program`); `ForwardingProgram.from_routes(graph, sources, destinations, routes, *, - allocation, weight_basis, edge_weights, residual)` builds one from `RouteDefinition(head, route, - *, weight=1)` (order and duplicates kept, every split route its own split context), and - `ForwardingProgram.from_dag(graph, sources, destinations, dag, *, allocation, weight_basis, - edge_weights, residual)` builds one shared hop-by-hop program on a supplied DAG, its sources - pooled exactly as `ShortestPaths` pools them (one builder serves both). `Pinned(program)` - forwards one: replayed under the policy's Eligibility (a tunnel touching an excluded element is - `FAILED`, its head splits over the survivors) and, with `black_holes`, stale (the program - unchanged, traffic reaching a black hole dropped there, `BLACKHOLED`). Lossy forwarding divides a - shared edge by nested highest averages (demands, heads, then entries; what reaches a black hole - takes no part), evaluates the program as a whole, - and recalculates edges that wait on each other in a cycle in rounds (a period-2 or round-limit - `ValueError`; an independent check before publication). -- **Failure guarantee**: every public call either completes or raises and changes nothing, also - when memory runs out, a worker thread fails or the Python result cannot be built. Two limits: - running out of memory inside pybind11's own object construction (outside the library's checked - result construction) may crash the process; a `ShortestPathCache` passed to the call: a building - cache keeps the complete entries and statistics of the lookups that succeeded before the - failure, and a frozen cache keeps its entries and changes none of its statistics, except one - miss when the call raised `ShortestPathCacheMiss`. -- **Search**: `spf(graph, roots, SpfOptions(direction, *, targets=None, tie_break=FEWER_HOPS, - multipath=True, parallel_edges=True, residual=None, min_residual=1, eligibility=None))` returns - `SpfResult`. It searches from a root set (every root at distance 0), `Direction.FORWARD` or - `REVERSE`. Without targets it returns `costs` (`UNREACHABLE` for the nodes not reached) and the - full DAG of tight edges; with targets it stops at the nearest targets' cost and returns - `target_cost` and the DAG of the walks between the roots and a nearest target. With - `multipath=False` it returns the canonical single path. A residual keeps only the edges with at - least `min_residual` residual units. Every search runs on one traversal core, with a bucket queue - when the largest edge cost is at most 65,535 times the costs' greatest common divisor, and a - binary heap otherwise. -- **KSP and paths**: `ksp(graph, source, destination, KspOptions(k, *, tie_break=FEWER_HOPS, - parallel_edges=True, cost_ceiling=None, residual=None, eligibility=None))` returns the K shortest - simple paths as `(cost, Path)` pairs in the single-path order, truncated at `k` and at an - inclusive ceiling. `resolve_to_paths(graph, dag, source, destination, split_parallel_edges=False, - max_paths=None)` lists a DAG's walks in (cost, hops, edge ids) order. -- **ShortestPathCache**: `ShortestPathCache(graph)` is keyed by the root set, the direction and - the Eligibility. Its values are the full static shortest-path DAGs (immutable, shared, valid - after `clear()`), and `stats()` reports `hits`, `misses`, `entries`, `bytes` and `live_values`. - - **Building mode:** one writer; a miss searches and inserts. - - **Frozen mode:** `freeze()` makes the cache read-only and shareable by every worker of an - evaluator. A frozen lookup miss raises `ShortestPathCacheMiss`, an exception the evaluators - pass on unchanged. `clear()` raises when frozen, and `thaw()` returns to building mode after - waiting for active calls. Lifecycle admission is FIFO, with no overtaking by later readers. -- **Evaluators**: one options type, `EvaluationOptions(config, *, eligibility=None, cache=None, - outputs=None, design_demand=None, offer=None)`, the design and the offer kept as given and - checked by the evaluator; `evaluate_demand(graph, sources, destinations, options)` (with - `CentralizedTE(source_allocation=OPTIMIZED)` the exact maximum flow, its marginal cost curve and - its minimum cut), `evaluate_pairs(graph, pairs, options, per_pair_eligibility=None, - workers=None)` (pair order; the lowest failing index raises; Pinned is rejected) and - `evaluate_edge_failures(graph, sources, destinations, options, workers=None)` (every candidate - edge and its signed `delivery_reduction`; a failed deletion fails the call). A finite `offer` is - accepted for every model under each admission it supports, in all three evaluators, and every - pair, baseline and failed network answers that same offer; an absent offer is the uncapped - Lossless question or the first-hop experiment of `ShortestPaths` Lossy. T1 always names a finite - design; T2 takes the offer as its design when none is given. A supplied building cache needs - `workers == 1`; a frozen cache is shared by every worker. With `workers=None` the count is 1 when - a cache is supplied, otherwise `NGRAPH_CORE_BATCH_THREADS` and - `NGRAPH_CORE_SENSITIVITY_THREADS` (an integer in [1, 4096]; 1 when unset or invalid). -- **Flow core**: one exact integer minimum-cost flow solver (successive shortest paths with - potentials, then Dinic phases for each cost level; each edge is its own arc, visited in - ascending EdgeId) serves `CentralizedTE`, the `OPTIMIZED` allocation, T2's sizing (every cost - taken as 0: a maximum flow) and the evaluators (`evaluate_edge_failures` of an unrestricted - optimized `CentralizedTE` deletes only the edges its baseline loads, and when that baseline is a - maximum flow, with no offer or an offer above it, repairs the baseline's solution for each removed - edge instead of solving again; at an offer that binds it solves each deletion at the offer); the - private entry - `_netgraph_core._solve_min_cost_flow` returns the value, the marginal cost curve, the edge flows, - the minimum cut, the potentials and six operation counters. The solver numbers its network in - `int32`, so a solve raises `ValueError`, before it sizes anything, on a network of more than - `INT32_MAX - 2` nodes or with more than `2^30 - 1` edges, sources and destinations together. -- **Zero-capacity links stay in routing**: `spf`, `ksp`, the cached supports, the `ShortestPaths` - routes, every roster and the stretch baselines keep edges below one unit of capacity; only a - supplied residual (or an `Eligibility`) filters. Without a residual, `HIGHER_HEADROOM` reads 1 on - an edge of positive capacity and 0 on an edge of capacity 0. `EQUAL` keeps a zero-capacity - member and its round-robin share; `WEIGHTED` gives it weight 0 and drops a branch left without a - member, without routing around it; `OPTIMIZED` keeps it and never bypasses it. -- **C++ headers** (under `netgraph/core/`): `types.hpp`, `graph.hpp` (`Graph`, `to_units`, - `as_float`; it includes `eligibility.hpp`), `eligibility.hpp`, `options.hpp` (`Direction`, - `AbsoluteCost`, `CostStretch`, `RouteTieBreak`, `RouteAllocation`, `WeightBasis`, `Admission`, - `SourceAllocation`), `route_structures.hpp`, `forwarding_program.hpp` (`ForwardingProgram`, - `Tunnel`, `TunnelStatus`, `RouteDefinition`, `RouteOptions`), `flow_record.hpp` (`FlowId`, - `Counter128`, `FlowRecord`), `flow_ledger.hpp`, `flow_policy.hpp`, `shortest_path_cache.hpp`, - `evaluators.hpp` and `search.hpp` (`spf`, `ksp`, `resolve_to_paths` and their options; the - queue choice `SpfQueue { Auto, Heap }` is a C++-only trailing parameter of `spf`); each - compiles alone and includes no `detail/` header. -- **Typing**: the package ships `__init__.pyi`, a type stub generated from the compiled module - (pybind11-stubgen with reviewed overrides: exact integer and array types, NumPy result dtypes, - optional values, and no constructor for the result classes the module refuses to construct), - next to `py.typed`. The stub carries the binding docstrings. `bash dev/stubs/run.sh generate` - regenerates it; `make stubs-check` checks it against a fresh generation, the wheel and sdist - contents, and typed client programs. -- **Input error classes**: one rule at every public entry. A type the position never takes raises - `TypeError`: a bool (Python's or `numpy.bool_`) at any numeric position, a float where only an - integer is taken, a string, `None` where none is allowed, an object of another class; for a vector - a non-sequence, a nested entry, an array of another rank or of a non-integer dtype. A value - outside its domain raises `ValueError`: a range, a length, NaN, `-inf`, a finite float as an offer - or a design demand. Texts are unchanged. Against this release's earlier development snapshots, - the wrong-type errors of call arguments, search options, graph arrays and node ids, vectors, - amounts, `None` for `graph`, `ledger` or `dag`, FlowIds, `evaluate_pairs`' pairs, - `Eligibility.intersect`, `Path` hops and `to_units` become `TypeError` (were `ValueError`): - `place(True)` and `SpfOptions(FORWARD, min_residual=1.0)` at the call raise `TypeError`, while - `place(1.5)` and `min_residual=0` stay `ValueError`. The non-integer number positions (a - `resolution` of `Graph`, `to_units` and `as_float`, `to_units`' values) take exactly ints, floats - and NumPy numbers, a subclass by its value: a bool (a resolution read as 1.0 or 0.0 before), a - `Decimal`, a `Fraction`, an object known by `__float__`, `__index__` or `__array__`, or a 0-d array - as a resolution is refused with `TypeError`; an integer beyond the float range as a resolution is now a `ValueError` with the - resolution's text (was pybind11's `TypeError`). `to_units` refuses a bool entry beside numbers - (`[True, 1.0]`, accepted before) with `TypeError`. Integer positions, `as_float`'s amounts - included, keep Python's integer protocol (`__index__`, never a bool). -- **Results that change** against this release's earlier development snapshots, on purpose: a - zero-capacity link stays in routing, so a direct edge of capacity 0 and cost 1 beside a cost-2 - route makes the shortest cost 1 (was 2), and an equal LOSSLESS split that sends that edge its - share delivers 0 (was 5); pooled sources whose routes meet at a router split there jointly, so - two sources reaching two unit-capacity members deliver 2 with LOSSY (was 1); `CostStretch(1.2)` - is the exact fraction 6/5, so a baseline cost of 5 admits a path of cost 6 at equality and the - tunnel case that delivered 0 now delivers 1; a black-holed edge no longer waits in a loss cycle, - so a cycle that never settles raises its round-limit error after 64 rounds per edge that does - wait (a loaded black-holed edge inside such a cycle added 64 more), with every amount, every - settling round and every period-2 error unchanged; traffic that can carry nothing (a tunnel, - split-route member or pooled source whose share is 0, or traffic behind its own demand's black - hole) no longer counts in the loads that decide which edges can drop, makes an edge wait or keeps - two edges in series from passing traffic through as one, so adding a demand that can carry nothing - no longer changes another demand's result, error or round count (it could turn a loss cycle's - error into a result or a result into an error). +- **BREAKING: amounts are integers.** Capacities, offers, deliveries and drops are whole units of a + resolution `q` (a power of two in `[2^-32, 2^32]`) that each graph carries; `to_units` (rounding + half up) and `as_float` convert physical values, and all arithmetic is exact, with no tolerance. + 0.11 used `float64` amounts. +- **BREAKING: costs are at least 1.** Edge costs are integers `>= 1`; 0.11 accepted a cost of 0. +- **BREAKING: edge numbering.** EdgeIds sort the edges by source, cost and destination, ties kept in + input order, and `input_positions()` maps an EdgeId to its input position. 0.11 sorted by cost, + source and destination and carried caller-supplied external ids. +- **BREAKING: zero-capacity edges stay in routing.** Searches, routes, rosters and equal splits keep + an edge of capacity 0 (an equal split sends it its share, which is lost): zero capacity alone + never excludes an edge. 0.11's equal split left such edges out. +- **BREAKING: distances** are `int64`, with `UNREACHABLE` for a node not reached; 0.11 returned + `float64` distances with `inf` by default. +- **BREAKING: failure sensitivity** reports, with its baseline, a signed and exact + `delivery_reduction` for every candidate edge, zero and negative values included. 0.11 tested + only saturated edges and returned only the reductions above 1/4096. +- **Worker counts.** Without an explicit `workers`, `evaluate_pairs` and `evaluate_edge_failures` + take their worker count from `NGRAPH_CORE_BATCH_THREADS` and `NGRAPH_CORE_SENSITIVITY_THREADS`, + and use 1 when the variable is unset or invalid (0.11: the hardware concurrency); a supplied + `ShortestPathCache` defaults to 1. -### Removed +### Added -Planned names superseded before implementation (these were never released APIs): -`ListMode` became `BatchMode`, `place_many` became `apply_actions`, -`Place.__init__:volume` became `Place.__init__:offer`, and `Place.volume` became `Place.offer`. - -- The 0.11 library and its bindings: `FlowState`, the previous `FlowGraph` and `FlowPolicy` and - their configuration, the backend and algorithms facade (with its `Graph` handle), the search - entry points (`shortest_paths`, `shortest_paths_to`, `spf_dag`, `spf_to`, `k_shortest_paths` - with its `unique` flag, `PredDAG.resolve_to_paths`, `NGRAPH_CORE_SPF_QUEUE`), max-flow, - batch max-flow and the previous sensitivity, the SPF memo and `StateStamp`, `kMinFlow`, - `kEpsilon`, `constants.hpp`, and the profiling facility (the Python accessors, the C++ scopes - and `NGRAPH_CORE_PROFILE`). -- The hand-written typing module `netgraph_core/_docs.py`, replaced by the generated stub. -- The growth model of the earlier capacity-aware routing (replaced by T1's tunnels): its fields - `flow_count`, `max_flow_count`, `min_flow_bandwidth`, `reoptimize` and `diminishing`, - `DiminishingReturns`, the per-call creation cap `MAX_FLOWS_PER_CALL` (C++ `kMaxFlowsPerCall`), - the terminations `LIMIT_FLOWS` and `LIMIT_DIMINISHING` and the per-source reduction of outcomes. -- The sensitivity entry status (`SensitivityStatus`, `SensitivityEntry.status` and `.reason`): - successful entries were always `EVALUATED`; a failed deletion fails the call. -- The names of this release's earlier development snapshots. Nothing old survives as an alias, a - warning or an error that names a replacement; each name below is simply gone. Public names: - -| Name | Replacement | -| --- | --- | -| `PredDAG` | `PredecessorDAG` | -| `EdgeTieBreak` | `RouteTieBreak` | -| `EdgePriority` | removed: the score is part of the `RouteTieBreak` value (`HIGHER_CAPACITY`, `HIGHER_AVAILABLE_CAPACITY`, `HIGHER_HEADROOM`) | -| `PathSelection` | removed: `tie_break`, `multipath`, `parallel_edges` on `ShortestPaths`, `DistributedTE`, `SpfOptions`, `KspOptions` | -| `SpfOptions` | same name; `selection` replaced by `tie_break`, `multipath`, `parallel_edges` | -| `KspOptions` | same name; `selection` replaced by `tie_break`, `parallel_edges` (no multipath) | -| `Absolute` | `AbsoluteCost` | -| `Stretch` | `CostStretch` | -| `DagCache` | `ShortestPathCache` | -| `DagCacheMiss` | `ShortestPathCacheMiss` | -| `DagCacheStats` | `ShortestPathCacheStats` | -| `FlowPlacement` | `RouteAllocation` | -| `Origin` | `SourceAllocation` | -| `Tunnels` | `TunnelCount` | -| `CostOnly` | `ShortestPaths` | -| `CapacityAware` | `DistributedTE` | -| `Global` | `CentralizedTE` | -| `FlowPolicyConfig` | same name; only `routing` and `admission` remain | -| `ForwardingProgram` | same name; new `from_dag` | -| `Route` | `RouteDefinition` | -| `QueryOptions` | `EvaluationOptions` | -| `CapacityOptions` | `EvaluationOptions` | -| `SensitivityOptions` | `EvaluationOptions` | -| `capacity` | `evaluate_demand` | -| `batch_capacity` | `evaluate_pairs` | -| `sensitivity` | `evaluate_edge_failures` | - - Members, parameters and enum values: - -| Kind | Name | Replacement | -| --- | --- | --- | -| parameter | `batch_capacity:opts` | `evaluate_pairs:options` | -| parameter | `batch_capacity:per_pair_elig` | `evaluate_pairs:per_pair_eligibility` | -| parameter | `capacity:opts` | `evaluate_demand:options` | -| parameter | `CapacityAware.__init__:max_path_cost` | `DistributedTE.__init__:cost_ceiling` | -| parameter | `CapacityAware.__init__:tunnels` | `DistributedTE.__init__:tunnel_count` | -| property | `CapacityAware.max_path_cost` | `DistributedTE.cost_ceiling` | -| property | `CapacityAware.tunnels` | `DistributedTE.tunnel_count` | -| field | `EdgePriority.RESIDUAL` | removed; `RouteTieBreak.HIGHER_AVAILABLE_CAPACITY` | -| field | `EdgeTieBreak.DETERMINISTIC` | `RouteTieBreak.FEWER_HOPS` | -| field | `EdgeTieBreak.PREFER_HIGHER_PRIORITY` | removed; `RouteTieBreak.HIGHER_CAPACITY`, `HIGHER_AVAILABLE_CAPACITY` or `HIGHER_HEADROOM`, by the old priority | -| parameter | `FlowLedger.__init__:residual` | `FlowLedger.__init__:service_baseline` | -| parameter | `FlowLedger.__init__:unreserved` | `FlowLedger.__init__:reservation_baseline` | -| method | `FlowLedger.allocated` | `FlowLedger.carried` | -| method | `FlowLedger.bottleneck` | `FlowLedger.saturated_boundary_edges` | -| parameter | `FlowLedger.bottleneck:elig` | `FlowLedger.saturated_boundary_edges:eligibility` | -| method | `FlowLedger.capacity_units` | `FlowLedger.edge_capacity_units` | -| parameter | `FlowLedger.reset:residual` | `FlowLedger.reset:service_baseline` | -| parameter | `FlowLedger.reset:unreserved` | `FlowLedger.reset:reservation_baseline` | -| field | `FlowPlacement.EQUAL_BALANCED` | `RouteAllocation.EQUAL` | -| field | `FlowPlacement.MAX_FLOW` | `RouteAllocation.OPTIMIZED` | -| parameter | `FlowPolicy.__init__:elig` | `FlowPolicy.__init__:eligibility` | -| parameter | `FlowPolicy.place:volume` | `FlowPolicy.place:offer` | -| method | `FlowPolicy.placed_demand` | `FlowPolicy.delivered` | -| parameter | `FlowPolicyConfig.__init__:origin` | `ShortestPaths(source_allocation=...)`, `CentralizedTE(source_allocation=...)` (required there); none on `DistributedTE` or `Pinned` | -| parameter | `FlowPolicyConfig.__init__:placement` | `ShortestPaths(allocation=...)` (`from_routes` and `from_dag` have their own `allocation`) | -| parameter | `FlowPolicyConfig.__init__:weights` | `ShortestPaths(weight_basis=...)` | -| property | `FlowPolicyConfig.origin` | `ShortestPaths.source_allocation`, `CentralizedTE.source_allocation` | -| property | `FlowPolicyConfig.placement` | `ShortestPaths.allocation` | -| property | `FlowPolicyConfig.weights` | `ShortestPaths.weight_basis` | -| property | `FlowRecord.bundle` | `FlowRecord.route` | -| property | `FlowRecord.drops` | `FlowRecord.edge_drops` | -| property | `FlowRecord.edges` | `FlowRecord.edge_flows` | -| property | `FlowRecord.entry` | `FlowRecord.entry_id` | -| property | `FlowRecord.owner` | `FlowRecord.policy_id` | -| field | `FlowRecord.reserved_edges` | `FlowRecord.edge_reservations` | -| property | `FlowRecord.route_cost` | `FlowRecord.min_route_cost` | -| parameter | `ForwardingProgram.from_routes:placement` | `ForwardingProgram.from_routes:allocation` | -| parameter | `ForwardingProgram.from_routes:weights` | `ForwardingProgram.from_routes:weight_basis` | -| parameter | `Global.__init__:tunnels` | `CentralizedTE.__init__:tunnel_count` | -| property | `Global.tunnels` | `CentralizedTE.tunnel_count` | -| parameter | `Graph.__init__:capacity_units` | `Graph.__init__:edge_capacity_units` | -| parameter | `Graph.__init__:cost` | `Graph.__init__:edge_costs` | -| parameter | `Graph.__init__:dst` | `Graph.__init__:edge_destinations` | -| parameter | `Graph.__init__:src` | `Graph.__init__:edge_sources` | -| method | `Graph.capacity_units` | `Graph.edge_capacity_units` | -| method | `Graph.cost` | `Graph.edge_costs` | -| method | `Graph.cost_gcd` | `Graph.edge_cost_gcd` | -| method | `Graph.edge_dst` | `Graph.edge_destinations` | -| method | `Graph.edge_src` | `Graph.edge_sources` | -| method | `Graph.in_adj_edge_index` | `Graph.incoming_edges` | -| method | `Graph.in_row_offsets` | `Graph.incoming_offsets` | -| method | `Graph.input_index` | `Graph.input_positions` | -| method | `Graph.max_cost` | `Graph.max_edge_cost` | -| method | `Graph.row_offsets` | `Graph.outgoing_offsets` | -| parameter | `ksp:dst` | `ksp:destination` | -| parameter | `ksp:opts` | `ksp:options` | -| parameter | `ksp:src` | `ksp:source` | -| parameter | `KspOptions.__init__:elig` | `KspOptions.__init__:eligibility` | -| parameter | `KspOptions.__init__:max_path_cost` | `KspOptions.__init__:cost_ceiling` | -| property | `KspOptions.elig` | `KspOptions.eligibility` | -| property | `KspOptions.max_path_cost` | `KspOptions.cost_ceiling` | -| parameter | `OutputOptions.__init__:bottleneck` | `OutputOptions.__init__:saturated_boundary_edges` | -| parameter | `OutputOptions.__init__:reservation_edge_flows` | `OutputOptions.__init__:edge_reservations` | -| property | `OutputOptions.bottleneck` | `OutputOptions.saturated_boundary_edges` | -| property | `OutputOptions.reservation_edge_flows` | `OutputOptions.edge_reservations` | -| method | `Path.dst` | `Path.destination` | -| method | `Path.src` | `Path.source` | -| parameter | `PathSelection.__init__:multi_edge` | `parallel_edges=` on `ShortestPaths`, `DistributedTE`, `SpfOptions`, `KspOptions` | -| property | `PathSelection.multi_edge` | the model's or the search options' `parallel_edges` | -| property | `PlacementResult.bottleneck` | `PlacementResult.saturated_boundary_edges` | -| property | `PlacementResult.call_drops` | `PlacementResult.call_edge_drops` | -| property | `PlacementResult.call_source_loss` | `PlacementResult.call_source_drops` | -| property | `PlacementResult.cost_distribution` | `PlacementResult.marginal_cost_curve` | -| property | `PlacementResult.drops` | `PlacementResult.edge_drops` | -| property | `PlacementResult.placed` | `PlacementResult.call_delivered` | -| property | `PlacementResult.remaining` | `PlacementResult.call_undelivered` | -| field | `PlacementResult.reservation_edge_flows` | `PlacementResult.edge_reservations` | -| property | `PlacementResult.source_loss` | `PlacementResult.source_drops` | -| parameter | `PredDAG.from_csr:offsets` | `PredecessorDAG.from_csr:parent_offsets` | -| parameter | `PredDAG.from_csr:via` | `PredecessorDAG.from_csr:via_edges` | -| parameter | `QueryOptions.__init__:elig` | `EvaluationOptions.__init__:eligibility` | -| parameter | `QueryOptions.__init__:offered` | `EvaluationOptions.__init__:offer` | -| property | `QueryOptions.elig` | `EvaluationOptions.eligibility` | -| property | `QueryOptions.offered` | `EvaluationOptions.offer` | -| parameter | `resolve_to_paths:dst` | `resolve_to_paths:destination` | -| parameter | `resolve_to_paths:src` | `resolve_to_paths:source` | -| parameter | `Route.__init__:bundle` | `RouteDefinition.__init__:route` | -| property | `Route.bundle` | `RouteDefinition.route` | -| parameter | `sensitivity:opts` | `evaluate_edge_failures:options` | -| property | `SensitivityEntry.loss` | `SensitivityEntry.delivery_reduction` | -| property | `SourceFlow.dropped` | `SourceFlow.total_edge_drops` | -| property | `SourceFlow.source_loss` | `SourceFlow.source_drops` | -| parameter | `spf:opts` | `spf:options` | -| parameter | `SpfOptions.__init__:elig` | `SpfOptions.__init__:eligibility` | -| property | `SpfOptions.elig` | `SpfOptions.eligibility` | -| property | `Tunnel.index` | `Tunnel.entry_id` | -| field | `Tunnel.planned` | `Tunnel.planned_bandwidth` | -| field | `Tunnel.requested` | `Tunnel.requested_bandwidth` | -| field | `Tunnel.reserved` | `Tunnel.reserved_bandwidth` | -| property | `Tunnel.route_cost` | `Tunnel.path_cost` | -| property | `TunnelFlow.dropped` | `TunnelFlow.total_edge_drops` | -| property | `TunnelFlow.index` | `TunnelFlow.entry_id` | -| field | `TunnelPlan.common_share` | `TunnelPlan.max_bandwidth_per_tunnel` | -| field | `TunnelPlan.count` | `TunnelPlan.tunnels_per_head` | -| field | `TunnelPlan.fluid_share` | `TunnelPlan.max_fractional_bandwidth_per_tunnel` | -| field | `TunnelPlan.forwarding_bound` | `TunnelPlan.max_lossless_offer` | -| field | `TunnelPlan.head_design` | `TunnelPlan.design_by_head` | -| field | `TunnelPlan.live_heads` | `TunnelPlan.heads_with_capacity` | -| field | `TunnelPlan.planned_per_tunnel` | `TunnelPlan.planned_bandwidth_per_tunnel` | -| field | `TunnelPlan.planned_total` | `TunnelPlan.total_planned_bandwidth` | -| field | `TunnelPlan.reserved_total` | `TunnelPlan.total_reserved_bandwidth` | -| field | `TunnelPlan.route_cost` | `TunnelPlan.total_tunnel_cost` | -| parameter | `Tunnels.__init__:count` | `TunnelCount.__init__:per_head` | -| property | `Tunnels.count` | `TunnelCount.per_head` | -| field | `TunnelStatus.COST_CEILING` | `TunnelStatus.COST_CEILING_EXCEEDED` | -| field | `TunnelStatus.NO_BANDWIDTH` | `TunnelStatus.INSUFFICIENT_BANDWIDTH` | -| parameter | `FlowPolicyConfig.__init__:edge_weights` | `ShortestPaths(edge_weights=...)` | -| property | `FlowPolicyConfig.edge_weights` | `ShortestPaths.edge_weights` | -| parameter | `FlowPolicyConfig.__init__:selection` | removed; its fields became `tie_break`, `multipath`, `parallel_edges` of the model | -| property | `FlowPolicyConfig.selection` | removed | -| parameter | `PathSelection.__init__:tie_break`, `priority` | one `tie_break: RouteTieBreak` | -| parameter | `PathSelection.__init__:multipath` (bool or None) | `multipath: bool = True` on `ShortestPaths` and `SpfOptions` only | -| parameter | `SpfOptions.__init__:selection`, `KspOptions.__init__:selection` | removed; `tie_break`, `parallel_edges` (and `multipath` for `SpfOptions`) as keywords | -| parameter | `Global.__init__:support` + `tunnels` together (rejected before) | `CentralizedTE(source_allocation=..., support=dag, tunnel_count=...)` allowed | -| parameter | `Global.__init__` without an origin | `CentralizedTE(source_allocation=...)` required | -| property | `Stretch.factor` (float) | `CostStretch.factor` (a `fractions.Fraction`) | -| parameter | `Stretch.__init__:factor` float | a `Fraction`, an integer or a float read as `Fraction(str(f))` | -| parameter | `QueryOptions.__init__:offered` (some models only) | `EvaluationOptions(offer=...)`, finite, every model | -| property | `FlowRecord.placement` | removed: the configuration selects the computation, the program the forwarding | -| property | `PlacementResult.local_outcomes` | removed: `by_source` carries the per-source accounting (no per-source termination) | -| method | `FlowPolicy.usable_bundles` | removed: inspect the program (`FlowPolicy.program`) | -| property | `Pinned.bundles` | `Pinned.program`, built by `ForwardingProgram.from_routes` or `from_dag` | - - C++ declarations and headers (C++ enum values are the Python words in PascalCase): - -| Kind | C++ name | Replacement | -| --- | --- | --- | -| file | `include/netgraph/core/dag_cache.hpp` | `include/netgraph/core/shortest_path_cache.hpp` | -| file | `include/netgraph/core/pred_dag.hpp` | `include/netgraph/core/route_structures.hpp` | -| file | `include/netgraph/core/program.hpp` | `include/netgraph/core/forwarding_program.hpp` | -| type | `Absolute` | `AbsoluteCost` | -| function | `batch_capacity` | `evaluate_pairs` | -| parameter | `batch_capacity:g` | `evaluate_pairs:graph` | -| function | `capacity` | `evaluate_demand` | -| parameter | `capacity:g` | `evaluate_demand:graph` | -| type | `CapacityAware` | `DistributedTE` | -| field | `CapacityAware::max_path_cost` | `DistributedTE::cost_ceiling` | -| type | `CostOnly` | `ShortestPaths` | -| type | `DagCache` | `ShortestPathCache` | -| constructor_or_destructor | `DagCache::DagCache` | `ShortestPathCache::ShortestPathCache` | -| parameter | `DagCache::lookup:elig` | `ShortestPathCache::lookup:eligibility` | -| parameter | `DagCache::lookup:g` | `ShortestPathCache::lookup:graph` | -| constructor_or_destructor | `DagCache::~DagCache` | `ShortestPathCache::~ShortestPathCache` | -| type | `DagCacheMiss` | `ShortestPathCacheMiss` | -| constructor_or_destructor | `DagCacheMiss::DagCacheMiss` | `ShortestPathCacheMiss::ShortestPathCacheMiss` | -| enum-value | `EdgePriority::Residual` | removed with `EdgePriority` | -| type | `EdgeTieBreak` | `RouteTieBreak` | -| enum-value | `EdgeTieBreak::Deterministic` | `RouteTieBreak::FewerHops` | -| enum-value | `EdgeTieBreak::PreferHigherPriority` | removed; `RouteTieBreak::HigherCapacity`, `HigherAvailableCapacity` or `HigherHeadroom` | -| function | `Eligibility::edge_ok` | `Eligibility::allows_edge` | -| function | `Eligibility::node_ok` | `Eligibility::allows_node` | -| function | `FlowLedger::allocated` | `FlowLedger::carried` | -| function | `FlowLedger::bottleneck` | `FlowLedger::saturated_boundary_edges` | -| parameter | `FlowLedger::bottleneck:elig` | `FlowLedger::saturated_boundary_edges:eligibility` | -| function | `FlowLedger::capacity_units` | `FlowLedger::edge_capacity_units` | -| parameter | `FlowLedger::FlowLedger:residual` | `FlowLedger::FlowLedger:service_baseline` | -| parameter | `FlowLedger::reset:residual` | `FlowLedger::reset:service_baseline` | -| type | `FlowPlacement` | `RouteAllocation` | -| enum-value | `FlowPlacement::EqualBalanced` | `RouteAllocation::Equal` | -| enum-value | `FlowPlacement::MaxFlow` | `RouteAllocation::Optimized` | -| parameter | `FlowPolicy::FlowPolicy:elig` | `FlowPolicy::FlowPolicy:eligibility` | -| parameter | `FlowPolicy::place:volume` | `FlowPolicy::place:offer` | -| function | `FlowPolicy::placed_demand` | `FlowPolicy::delivered` | -| field | `FlowPolicyConfig::origin` | `ShortestPaths::source_allocation`, `CentralizedTE::source_allocation` | -| field | `FlowPolicyConfig::placement` | `ShortestPaths::allocation` (the option lives in the model) | -| field | `FlowPolicyConfig::weights` | `ShortestPaths::weight_basis` | -| field | `FlowRecord::bundle` | `FlowRecord::route` | -| field | `FlowRecord::drops` | `FlowRecord::edge_drops` | -| field | `FlowRecord::edges` | `FlowRecord::edge_flows` | -| field | `FlowRecord::entry` | `FlowRecord::entry_id` | -| field | `FlowRecord::owner` | `FlowRecord::policy_id` | -| field | `FlowRecord::route_cost` | `FlowRecord::min_route_cost` | -| parameter | `ForwardingProgram::from_routes:g` | `ForwardingProgram::from_routes:graph` | -| type | `Global` | `CentralizedTE` | -| function | `Graph::capacity_units` | `Graph::edge_capacity_units` | -| function | `Graph::cost` | `Graph::edge_costs` | -| function | `Graph::cost_gcd` | `Graph::edge_cost_gcd` | -| function | `Graph::edge_dst` | `Graph::edge_destinations` | -| function | `Graph::edge_src` | `Graph::edge_sources` | -| parameter | `Graph::Graph:capacity_units` | `Graph::Graph:edge_capacity_units` | -| parameter | `Graph::Graph:cost` | `Graph::Graph:edge_costs` | -| parameter | `Graph::Graph:dst` | `Graph::Graph:edge_destinations` | -| parameter | `Graph::Graph:src` | `Graph::Graph:edge_sources` | -| function | `Graph::in_adj_edge_index` | `Graph::incoming_edges` | -| function | `Graph::in_row_offsets` | `Graph::incoming_offsets` | -| function | `Graph::input_index` | `Graph::input_positions` | -| function | `Graph::max_cost` | `Graph::max_edge_cost` | -| function | `Graph::row_offsets` | `Graph::outgoing_offsets` | -| parameter | `ksp:g` | `ksp:graph` | -| field | `KspOptions::elig` | `KspOptions::eligibility` | -| field | `KspOptions::max_path_cost` | `KspOptions::cost_ceiling` | -| type | `Origin` | `SourceAllocation` | -| field | `OutputOptions::bottleneck` | `OutputOptions::saturated_boundary_edges` | -| function | `Path::dst` | `Path::destination` | -| parameter | `Path::Path:g` | `Path::Path:graph` | -| function | `Path::src` | `Path::source` | -| field | `PathSelection::multi_edge` | `parallel_edges` of the model or the search options (`PathSelection` removed) | -| field | `PlacementResult::bottleneck` | `PlacementResult::saturated_boundary_edges` | -| field | `PlacementResult::call_drops` | `PlacementResult::call_edge_drops` | -| field | `PlacementResult::call_source_loss` | `PlacementResult::call_source_drops` | -| field | `PlacementResult::cost_distribution` | `PlacementResult::marginal_cost_curve` | -| field | `PlacementResult::drops` | `PlacementResult::edge_drops` | -| field | `PlacementResult::placed` | `PlacementResult::call_delivered` | -| field | `PlacementResult::remaining` | `PlacementResult::call_undelivered` | -| field | `PlacementResult::source_loss` | `PlacementResult::source_drops` | -| type | `PredDAG` | `PredecessorDAG` | -| parameter | `PredDAG::from_csr:g` | `PredecessorDAG::from_csr:graph` | -| type | `QueryOptions` | `EvaluationOptions` | -| field | `QueryOptions::elig` | `EvaluationOptions::eligibility` | -| field | `QueryOptions::offered` | `EvaluationOptions::offer` | -| parameter | `resolve_to_paths:g` | `resolve_to_paths:graph` | -| type | `Route` | `RouteDefinition` | -| field | `Route::bundle` | `RouteDefinition::route` | -| field | `RouteOptions::placement` | `RouteOptions::allocation` | -| field | `RouteOptions::weights` | `RouteOptions::weight_basis` | -| function | `sensitivity` | `evaluate_edge_failures` | -| parameter | `sensitivity:g` | `evaluate_edge_failures:graph` | -| field | `SensitivityEntry::loss` | `SensitivityEntry::delivery_reduction` | -| field | `SourceFlow::dropped` | `SourceFlow::total_edge_drops` | -| field | `SourceFlow::source_loss` | `SourceFlow::source_drops` | -| parameter | `spf:g` | `spf:graph` | -| field | `SpfOptions::elig` | `SpfOptions::eligibility` | -| type | `Stretch` | `CostStretch` | -| field | `Tunnel::index` | `Tunnel::entry_id` | -| field | `Tunnel::route_cost` | `Tunnel::path_cost` | -| field | `TunnelFlow::dropped` | `TunnelFlow::total_edge_drops` | -| field | `TunnelFlow::index` | `TunnelFlow::entry_id` | +- **Graph and units**: `Graph`, `Eligibility` (an immutable mask built from excluded node and edge + ids), `to_units`, `as_float`. +- **Routes and searches**: `PredecessorDAG` and `Path`; `spf` (forward or reverse, to every node or + to the nearest targets, a DAG or one canonical path), `ksp` with exact cost ceilings + (`AbsoluteCost`, `CostStretch`) and `resolve_to_paths`; one tie rule, `RouteTieBreak`. +- **Ledger**: `FlowLedger`, which keeps carried traffic and strict tunnel holds apart, and its + `FlowRecord` snapshots. +- **Policies**: `FlowPolicy`, one demand of several sources and destinations, configured by + `FlowPolicyConfig` with one routing model and one admission (`LOSSLESS`, `LOSSY`). The models: + `ShortestPaths` (ECMP, WCMP, or a controller restricted to the shortest routes), `DistributedTE` + (T1: tunnels set up by their heads), `CentralizedTE` (an ideal controller; with a tunnel count, + T2: the controller's equal tunnels) and `Pinned` (forwarding over a given program, repaired under + a mask or stale with black holes). Source allocations `EQUAL`, `OPTIMIZED` and `WEIGHTED`. The + calls `place`, `evaluate`, `replace` and `forward`, each returning a `PlacementResult`, and + `remove`. +- **Forwarding programs**: `ForwardingProgram`, produced by every computing model and built by + `ForwardingProgram.from_routes` and `ForwardingProgram.from_dag`. +- **Several demands at once**: `apply_actions` with `Place`, `Replace` and `Forward` actions, + `ORDERED`, or `SIMULTANEOUS` with the losses on shared links divided between the demands. +- **Shortest-path cache**: `ShortestPathCache`, building or frozen, shared by the evaluators' + workers. +- **Evaluators**: `evaluate_demand`, `evaluate_pairs` and `evaluate_edge_failures`, with one + `EvaluationOptions` and a finite offer for every model. +- **Guarantees**: every public call either completes or changes nothing, with two stated limits; + native work releases the GIL, placements included, and calls on one ledger take effect one at a + time. +- **Typing**: the package ships `py.typed` and a type stub that carries the docstrings. +- **C++**: the same API in self-contained headers under `netgraph/core/` (`types.hpp`, `graph.hpp`, + `eligibility.hpp`, `options.hpp`, `route_structures.hpp`, `forwarding_program.hpp`, `search.hpp`, + `flow_record.hpp`, `flow_ledger.hpp`, `flow_policy.hpp`, `shortest_path_cache.hpp`, + `evaluators.hpp`). -### Fixed +### Removed -- Fixed double frees and leaks when native allocation fails while constructing Python result - wrappers for `spf`, `ksp` and `resolve_to_paths`; these failures now raise `MemoryError`. +- **BREAKING:** the 0.11 Python API: `StrictMultiDiGraph`, `FlowGraph`, `FlowState`, `Algorithms`, + `Backend` with its `Graph` handle, `EdgeSelection`, `EdgeTieBreak`, `FlowPlacement`, `PathAlg`, + `PredDAG`, `FlowIndex`, `FlowSummary`, `MinCut`, the 0.11 forms of `FlowPolicy` and + `FlowPolicyConfig`, and the profiling functions `profiling_enabled`, `profiling_dump` and + `profiling_reset`. +- **BREAKING:** the 0.11 C++ headers `algorithms.hpp`, `backend.hpp`, `constants.hpp`, `flow.hpp`, + `flow_graph.hpp`, `flow_state.hpp`, `k_shortest_paths.hpp`, `max_flow.hpp`, `profiling.hpp`, + `shortest_paths.hpp` and `strict_multidigraph.hpp`, and the 0.11 contents of `flow_policy.hpp`, + `options.hpp` and `types.hpp`. +- The environment variables `NGRAPH_CORE_PROFILE` and `NGRAPH_CORE_SPF_QUEUE`. ## [0.11.0] - 2026-10-02 diff --git a/README.md b/README.md index 8b6a037..5e27e3b 100644 --- a/README.md +++ b/README.md @@ -11,26 +11,36 @@ C++ graph engine for network flow analysis, traffic engineering simulation, and > `evaluate_demand`, `evaluate_pairs` and `evaluate_edge_failures`. > The previous API (0.11 and earlier) is in git history and on PyPI. +## How it fits together + +A demand (traffic from a set of sources to a set of destinations) goes through six things: a +`Graph` on integer units, a `FlowLedger` of what its edges carry and what tunnels hold, a +`FlowPolicy` that routes the demand with one routing model and one admission, the +`ForwardingProgram` the model computes, the forwarding of the offer over that program, and the +`PlacementResult` that reports what was delivered and lost. [docs/semantics.md](docs/semantics.md) +explains each with worked examples and gives the exact rules. + ## Overview - **Exact integer amounts**: a graph carries an explicit resolution `q` (a power of two in `[2^-32, 2^32]`); capacities and flows are `int64` units of `q`. Physical values enter only - through `to_units` (round half up) and leave through `as_float`. + through `to_units` (the binary64 value rounded half up to whole units, exactly) and leave through + `as_float`. - **Positive costs**: edge costs are integers `>= 1`, so the shortest-path DAG (every edge on - some shortest path) has no cycle and does not depend on search order or tie rules. + some shortest path) has no cycle; for a fixed set of usable edges it does not depend on search + order or tie rules. - **Zero capacity is not absence**: an edge of capacity 0 stays in routing, as a configured but empty link does: searches, routes and rosters use it, an equal split still sends it a share - (which is lost), a weighted split gives it weight 0. Only an explicit residual or an - `Eligibility` removes an edge from a search. -- **Stable edge ids**: edges are numbered by sorting on `(source, cost, destination)`, ties kept in input - order; that number is the public `EdgeId`, and `input_positions()` maps it back to the input position. + (which is lost), a weighted split gives it weight 0. Zero capacity alone never excludes an edge: + an `Eligibility` excludes it, the route choice can keep another of its parallel members, and an + explicit residual adds a capacity threshold. +- **Edge ids by sort**: edges are numbered by sorting on `(source, cost, destination)`, ties kept + in input order; that number is the public `EdgeId`, and `input_positions()` maps it back to the + input position. - **One flow core**: an exact integer minimum-cost flow solver (the most traffic, sent as cheaply - as possible). It returns the flow value, the marginal cost curve (the extra minimum total cost - per additional delivered unit, as `(cost, units)` segments), the flow on every edge, a minimum - cut (the full edges that separate the sources from the destinations) and the node potentials - (per-node prices that prove the flow is cheapest). It works one cost level at a time: shortest - paths with potentials find the next cheapest cost, then Dinic phases fill every path of that - cost. + as possible). A solve of the ideal controller reports its marginal cost curve (the extra minimum + total cost per additional delivered unit, as `(cost, units)` segments) and, on request, a + minimum cut when it reaches the maximum ([the result](docs/semantics.md#the-result)). ## Core Features @@ -41,226 +51,126 @@ specified in [docs/semantics.md](docs/semantics.md). ### Graph - **`Graph(num_nodes, edge_sources, edge_destinations, edge_capacity_units, edge_costs, - resolution)`**: immutable directed multigraph that stores each node's out-edges and in-edges as - arrays; parallel edges and self-loops are allowed. Validation reports the first defect in a - fixed order (the resolution, the unit values, the shapes, zero or negative costs, the remaining - bounds). Accessors (`edge_capacity_units()`, `edge_costs()`, `edge_sources()`, - `edge_destinations()`, `input_positions()`, `outgoing_offsets()`, `incoming_offsets()`, - `incoming_edges()`) return read-only NumPy views that keep the graph alive. + resolution)`**: an immutable directed multigraph (parallel edges and self-loops allowed). + Validation reports the first defect in a fixed order. Accessors (`edge_capacity_units()`, + `edge_costs()`, `edge_sources()`, `edge_destinations()`, `input_positions()`, + `outgoing_offsets()`, `incoming_offsets()`, `incoming_edges()`) return read-only NumPy views + that keep the graph alive ([the graph](docs/semantics.md#2-the-graph)). - **`Eligibility`**: which nodes and edges of one graph may be used (immutable), built by - `graph.eligibility(excluded_nodes, excluded_edges)`; `Eligibility.intersect(a, b)` returns an - operand when the result equals it, otherwise a new value. + `graph.eligibility(excluded_nodes, excluded_edges)`; `Eligibility.intersect(a, b)` combines two. ### Route structures - **`PredecessorDAG`**: the route structure a search returns, a predecessor DAG (directed, no - cycle): for each node, the edges that reach it on the route and the node each comes from. - `parents()` and `via_edges()` list these entries, in ascending EdgeId within a node; - `parent_offsets()` (built on each call) says where each node's entries start. - `PredecessorDAG.from_csr(graph, parent_offsets, parents, via_edges)` validates the shape, the - ranges and endpoints, duplicates, acyclicity and the canonical order before accepting a DAG. + cycle): for each node, the edges that reach it on the route and the node each comes from; + `PredecessorDAG.from_csr(graph, parent_offsets, parents, via_edges)` builds and validates one. - **`Path(graph, hops)`**: a route given hop by hop, where a hop may hold several parallel edges - between the same two nodes; `cost()` is the sum over hops of the minimum member cost, - `source()` and `destination()` its ends, and `to_dag()` gives the equivalent `PredecessorDAG`. + between the same two nodes; `cost()` is the sum over hops of the cheapest member's cost. - **Route choice**: one tie rule, `RouteTieBreak` (`FEWER_HOPS`, the default, `HIGHER_CAPACITY`, `HIGHER_AVAILABLE_CAPACITY`, `HIGHER_HEADROOM`), with `multipath` (every equal-cost route, or the one canonical path) and `parallel_edges` (every parallel link, or one per node pair). Cost always - comes first; the tie rule only orders equal-cost choices. + comes first; the tie rule only orders equal-cost choices + ([the route choice](docs/semantics.md#the-route-choice)). ### Ledger and route allocations - **`FlowLedger(graph, service_baseline=None, *, reservation_baseline=None)`**: the integer ledger - of one graph, in two projections that are never added: the carried traffic (`carried()` is the - exact sum of the records' edge flows and `residual()` the service baseline minus it) and the - strict holds of T1 tunnels (`reserved()` is the sum of the records' holds and `unreserved()` the - reservation baseline minus it). Holds never police traffic. The records (`FlowRecord`: flow id, - `policy_id`, endpoints, admission, `entry_id`, `route`, `min_route_cost`, offered, delivered, - `edge_flows`, `edge_drops` and `edge_reservations`) are the flows placed on it; - `saturated_boundary_edges(sources)` lists the full edges leaving the set of nodes the sources - can still reach. `reset()` and `copy()` are rejected while a policy is bound to the ledger. - Policies place, hold and remove; `reset(service_baseline=None, *, reservation_baseline=None)` - replaces an unbound ledger's baselines and clears its records. -- **Route allocations**, the rules that spread one flow over its route (`RouteAllocation`: `OPTIMIZED`, - `WEIGHTED`, `EQUAL`; `Admission`: `LOSSLESS`, `LOSSY`): `OPTIMIZED` re-solves the flow with the - flow core on its route, over the free capacity plus its own allocation; `WEIGHTED` splits at - every node in proportion to integer weights frozen when the route is prepared, from a - `WeightBasis` (`CAPACITY`, `EXPLICIT`, `RESIDUAL_SNAPSHOT`) (highest averages (D'Hondt): assign - each next unit to the largest weight / (assigned + 1), ties to the lower EdgeId); `EQUAL` splits equally (round robin); `LOSSY` forwards hop - by hop and records what it drops. + of one graph, in two projections that are never added: the carried traffic (`carried()`, + `residual()`) and the strict holds of T1 tunnels (`reserved()`, `unreserved()`). Holds never + police traffic. Its `FlowRecord`s are the routed amounts of its policies + ([the ledger](docs/semantics.md#6-the-ledger)). +- **Route allocations** (`RouteAllocation`) say how a demand's traffic is split at every router of + its routes: `EQUAL` (ECMP, round robin), `WEIGHTED` (WCMP, highest averages over integer weights + from a `WeightBasis`) or `OPTIMIZED` (a controller restricted to those routes). **Admission** + (`Admission`) says what happens to traffic that does not fit: `LOSSLESS` admits only what the + split carries without loss, `LOSSY` sends everything and records where it is lost + ([route allocations and admission](docs/semantics.md#5-route-allocations-and-admission)). ### Policies -- **`FlowPolicy(ledger, sources, destinations, config, eligibility=None, cache=None)`**: the - placement engine for one demand, bound to its ledger. `FlowPolicyConfig(*, routing, - admission=LOSSLESS)` holds the routing model and the admission; every other option belongs to - the model that reads it. A model's source allocation is `EQUAL` (every source sends the same - round-robin share), `OPTIMIZED` (a controller chooses how much enters where), or `WEIGHTED` - (CentralizedTE without tunnels prescribes highest-averages shares of declared source weights). The routing is - one of: - - `ShortestPaths(*, allocation=EQUAL, source_allocation=None, weight_basis=None, - edge_weights=None, tie_break=FEWER_HOPS, multipath=True, parallel_edges=True)`: static - shortest paths, as routers forward with an IGP such as OSPF. `ShortestPaths()` is ECMP; - `allocation=WEIGHTED` is WCMP with its `weight_basis` and `edge_weights`; the sources of one - demand are pooled (where their routes meet, a router splits their traffic once); - `allocation=OPTIMIZED` is a controller restricted to those paths; - - `DistributedTE(TunnelCount(N), *, cost_ceiling=None, min_unreserved_bandwidth=0, - tie_break=FEWER_HOPS, parallel_edges=True)` (T1): every head sets up its own N - strict-bandwidth tunnels, as RSVP-TE head ends do, with no controller: a design volume is split - equally over the heads and their tunnels, each tunnel runs CSPF (the shortest path among the - links with enough unreserved bandwidth, within an `AbsoluteCost` or `CostStretch` cost ceiling) - and either comes up holding its request on every link or stays down - (`INSUFFICIENT_BANDWIDTH`, `COST_CEILING_EXCEEDED`); traffic then enters equally at the heads - and splits equally over their up tunnels; - - `CentralizedTE(*, source_allocation, source_weights=None, support=None, tunnel_count=None, prefer_headroom=False)`: - without a tunnel count, an ideal controller: the minimum-cost flow from all the policy's - sources to its destinations, on the free capacity plus its own allocation, optionally only - over the edges of a support DAG. `source_allocation=WEIGHTED` requires `source_weights`, - one integer per graph node in `[0, 2^62)`; every source must inject its highest-averages share - at the maximum total, then cost is minimized. Its program retains the declared weights for - replay at another offer. WEIGHTED is refused with tunnels and in ShortestPaths; all-zero - roster weights deliver nothing and end NO_ACTIVE_WEIGHT on a positive live call. - With `tunnel_count=TunnelCount(N)` (T2), a central controller - (as a PCE) lays out, for every head that reaches a destination over free capacity, N - single-path tunnels with one common whole-unit planned bandwidth: as large as possible, then - (for a finite design) no larger than needed, then the cheapest routes, then with - `prefer_headroom=True` the routes that leave the most spare capacity, then one fixed tie; - `TunnelCount(L, up_to=True)` chooses the smallest common count up to L whose program carries - the live heads' design shares (if none does, the largest live-share score, then the smallest - count; it does not promise whole-demand lossless delivery); a `support` restricts the tunnels to its edges. The planned bandwidth is never held. - The source allocation is always stated. NetGraph's TE presets map onto it: `TE_ECMP_16_LSP` is - `CentralizedTE(source_allocation=EQUAL, tunnel_count=TunnelCount(16))` and - `TE_ECMP_UP_TO_256_LSP` the same with `TunnelCount(256, up_to=True)`, both with - `prefer_headroom=True`; +- **`FlowPolicy(ledger, sources, destinations, config, eligibility=None, cache=None)`**: one + demand, bound to its ledger. `FlowPolicyConfig(*, routing, admission=LOSSLESS)` holds the routing + model, which holds every option it reads. The models: + - `ShortestPaths(...)`: static shortest paths, as routers forward with an IGP such as OSPF. + `ShortestPaths()` is ECMP and `allocation=WEIGHTED` is WCMP; with either, the sources of one + demand are pooled: where their routes meet, a router splits their traffic once. + `allocation=OPTIMIZED` is a controller restricted to those paths, solving the sources jointly. + - `DistributedTE(TunnelCount(N), ...)` (T1): every head sets up its own N strict-bandwidth + tunnels by CSPF, as RSVP-TE head ends do, with no controller + ([T1](docs/semantics.md#t1-tunnels-set-up-by-their-heads)). + - `CentralizedTE(*, source_allocation, ...)`: an ideal controller, the minimum-cost flow of the + demand over every eligible edge or a support DAG. With `tunnel_count=TunnelCount(N)` (T2) it + lays out N single-path tunnels per head with one common whole-unit planned bandwidth + ([T2](docs/semantics.md#t2-the-controllers-equal-tunnels)). - `Pinned(program, *, black_holes=None)`: forwarding over a given `ForwardingProgram`, computing - nothing; the policy's Eligibility fails the tunnels it touches (their heads split over the - survivors) and `black_holes` makes failed elements swallow what reaches them (stale - forwarding). + nothing: repaired under the policy's Eligibility, or stale with black holes + ([forwarding programs](docs/semantics.md#forwarding-programs)). +- **Source allocation** (`SourceAllocation`): `EQUAL` (every source sends the same round-robin + share), `OPTIMIZED` (a controller chooses how much enters where) or `WEIGHTED` (`CentralizedTE` + without tunnels: highest-averages shares of declared source weights). - **`ForwardingProgram`**: the routes and integer weights of one demand. Every computing model - produces one (`policy.program`, `result.program`); `ForwardingProgram.from_routes(graph, - sources, destinations, routes)` builds one from `RouteDefinition(head, route, weight=1)` entries - (a `Path` is a tunnel, a `PredecessorDAG` a split route of its own), and - `ForwardingProgram.from_dag(graph, sources, destinations, dag)` builds one shared hop-by-hop - program on a DAG whose sources are pooled exactly as `ShortestPaths` pools them. -- **`place(offer, outputs=None)`** adds `offer` to the policy's request as one all-or-nothing step - (`ShortestPaths` forwards over the program fixed for its epoch; the controllers re-solve - what they already deliver plus this request; T1 and T2 have no `place`) and returns a - `PlacementResult`: this call's `call_delivered`, `call_undelivered`, `delivery_delta`, - `call_edge_drops`, `call_source_drops`, `termination` and flags; the demand's `requested`, - `offered`, `admitted`, `delivered`, `unadmitted`, `source_drops`, `edge_drops`, per-source rows - `by_source`, `total_cost` (controllers), `marginal_cost_curve` (optimized `CentralizedTE`), the - `program`, the tunnel models' `plan`, and per-tunnel rows `by_tunnel`; and, when requested - through `OutputOptions`, `edge_flows`, `residual`, `saturated_boundary_edges`, - `edge_reservations` and `min_cut` (optimized `CentralizedTE`). `evaluate(offer, *, - design_demand=None)` computes a whole new offer without publishing it, `replace(offer, *, - design_demand=None)` publishes it (T1 sets its tunnels up and T2 lays them out for the design, - `None` meaning the offer), `forward(offer, *, black_holes=None)` sends it over the installed - program (T1 keeps its tunnels and holds, T2 its tunnels and plan); `remove()` reverts the - policy's flows and holds; `records()`, `record(flow_id)`, `delivered()`, `config` and `program` - read its state. -- **Static preparation**: a `ShortestPaths` `EQUAL` or `WEIGHTED` policy with `FEWER_HOPS` or - `HIGHER_CAPACITY` and static weights keeps its immutable preparation across epochs, with results - equal to fresh preparation. Dynamic route scores, `RESIDUAL_SNAPSHOT` and `OPTIMIZED` still - prepare afresh. `remove()` clears the visible program and retires records; the private - preparation remains until policy destruction. `evaluate` reads it without installing one. - `ShortestPathCache` behavior and statistics are unchanged. -- **`apply_actions(ledger, actions, *, mode=BatchMode.ORDERED, outputs=None)`**: the actions of - several policies of one ledger (`Place(policy, offer)`, `Replace(policy, offer, *, - design_demand=None)`, `Forward(policy, offer, *, black_holes=None)`, immutable values) as one - transaction, validated whole and published once, one `PlacementResult` per action in input - order. `BatchMode.ORDERED` runs each as its scalar call on the state the earlier ones left - (earlier actions are served first); `BatchMode.SIMULTANEOUS` forwards LOSSY `Replace` actions of - `ShortestPaths` `EQUAL` or `WEIGHTED` and `Pinned` and `Forward` actions of installed programs at - the same time on one view (the residual plus every participant's old traffic), a full edge - shared by highest averages over the demands, then their heads, then their entries - ([docs/semantics.md](docs/semantics.md#several-demands-at-once)). + produces one (`policy.program`, `result.program`); `ForwardingProgram.from_routes` builds one + from given routes, and `ForwardingProgram.from_dag` one shared hop-by-hop program on a DAG. +- **Calls**: `place(offer)` adds to the demand (T1 and T2 have none); `evaluate(offer)` computes a + whole new offer without publishing it, `replace(offer)` publishes it, `forward(offer)` sends it + over the installed program, and `remove()` takes the demand's traffic out. The first four return + a `PlacementResult` (`remove()` returns `None`): this call's delivery and losses, the demand's + totals, per-source and per-tunnel rows, the program and, for T1 and T2, their `TunnelPlan` + ([policies](docs/semantics.md#7-policies)). +- **`apply_actions(ledger, actions, *, mode=BatchMode.ORDERED, outputs=None)`**: the `Place`, + `Replace` and `Forward` actions of several policies of one ledger as one transaction, one after + another (`ORDERED`) or at the same time with the losses on shared links divided between the + demands (`SIMULTANEOUS`) ([several demands at once](docs/semantics.md#several-demands-at-once)). - **Failure guarantee**: every public call either completes or raises one exception and leaves - every ledger, policy, cache and scratch buffer as it was, whatever fails (validation, memory, a - worker thread, building the Python result). Two limits: pybind11 does not check every - allocation when it constructs a bound object from Python, parses the arguments of a call that - passes keywords, or converts a returned value into a new Python object outside the library's - checked result construction, so running out of memory - exactly there may crash the process (Core state stays unchanged); and a `ShortestPathCache` - passed to the call: a building cache keeps the complete entries and statistics of the lookups - that succeeded before the failure, and a frozen cache keeps its entries and statistics - unchanged, except that a call raising `ShortestPathCacheMiss` counts one miss - ([docs/semantics.md](docs/semantics.md#8-failures-threads-and-lifetimes)). - -Native computation releases the GIL. Calls on one ledger serialize through one native gate; -different ledgers run in parallel. Immutable readers take no gate. Building caches take exclusive -leases, frozen caches shared leases, and lifecycle calls wait for active calls without starvation. -The free-threaded Python build uses the same gates and leases and detaches thread state before waiting. + every ledger, policy and cache as it was, with two stated limits (running out of memory inside + pybind11's own object construction, and a `ShortestPathCache` passed to the call) + ([failures, threads and lifetimes](docs/semantics.md#8-failures-threads-and-lifetimes)). + +Native computation releases the GIL. Calls on one ledger take effect one at a time; different +ledgers run in parallel. The free-threaded Python build follows the same rules. ### Search -`spf(graph, roots, SpfOptions(direction, *, targets=None, tie_break=FEWER_HOPS, multipath=True, -parallel_edges=True, residual=None, min_residual=1, eligibility=None))` searches from a root set, -forward or reverse. Edges of capacity 0 are searched like any other; only a supplied residual -filters by capacity. -- **Without targets:** it returns `costs` (`UNREACHABLE` for nodes not reached) and the full - DAG of tight edges, the edges that lie on some shortest path. -- **With targets:** it stops at the nearest targets and returns `target_cost` and the DAG of - the walks between the roots and the nearest targets (for a reverse search, from a target to - a root). -- **With `multipath=False`:** it returns the canonical single path: the walk of lowest cost; - among those, under a `HIGHER_*` tie rule, the one of highest bottleneck (the smallest score - along the walk); then the fewest hops; then the lexicographically smallest sequence of EdgeIds - ([docs/semantics.md](docs/semantics.md#the-canonical-single-path)). -- **With `parallel_edges=False`:** each node pair is first reduced to one parallel member (lowest - cost, then under a `HIGHER_*` tie rule the highest score, then the lowest EdgeId). -- A `HIGHER_*` tie rule with `multipath=True` and `parallel_edges=True` has nothing to choose and - is rejected (`spf tie_break requires multipath=False or parallel_edges=False`). - -`ksp(graph, source, destination, KspOptions(k, *, tie_break=FEWER_HOPS, parallel_edges=True, -cost_ceiling=None, residual=None, eligibility=None))` returns the K shortest simple paths as -`(cost, Path)` pairs, in the order of [docs/semantics.md](docs/semantics.md#k-shortest-paths) and -up to an inclusive cost ceiling (`AbsoluteCost(c)`, or `CostStretch(f)` with `f` an exact -fraction: a float means the decimal it prints, so `CostStretch(1.2)` is exactly 6/5). -`resolve_to_paths(graph, dag, source, destination, split_parallel_edges=False, max_paths=None)` -lists a DAG's walks as `Path` values. +- `spf(graph, roots, SpfOptions(direction, *, targets=None, tie_break=FEWER_HOPS, multipath=True, + parallel_edges=True, residual=None, min_residual=1, eligibility=None))` searches from a root + set, forward or reverse, and returns the shortest-path DAG (to every node, or to the nearest + targets) or, with `multipath=False`, the canonical single path + ([the canonical single path](docs/semantics.md#the-canonical-single-path)). Edges of capacity 0 + are searched like any other; only a supplied residual adds a capacity threshold. +- `ksp(graph, source, destination, KspOptions(k, *, tie_break=FEWER_HOPS, parallel_edges=True, + cost_ceiling=None, residual=None, eligibility=None))` returns the K shortest simple paths as + `(cost, Path)` pairs, in the order of [docs/semantics.md](docs/semantics.md#k-shortest-paths), + up to an inclusive cost ceiling (`AbsoluteCost(c)`, or `CostStretch(f)` with `f` an exact + fraction: a float means the decimal it prints, so `CostStretch(1.2)` is exactly 6/5). +- `resolve_to_paths(graph, dag, source, destination, split_parallel_edges=False, max_paths=None)` + lists a DAG's walks as `Path` values. ### ShortestPathCache `ShortestPathCache(graph)` keeps the static shortest-path DAGs (from costs and the Eligibility, -not traffic) that policies build, keyed by the root set, the direction and the Eligibility. Values -are immutable and shared, and `stats()` reports hits, misses, entries, retained bytes and live -values. -- **Building mode (new caches):** one exclusive lease per call; a miss searches and inserts. An evaluator given a - building cache runs on one worker (an explicit `workers` above 1 is rejected). -- **Frozen mode (`freeze()`):** read-only and shared by every worker of an evaluator (pass - `workers` explicitly; with a cache the default is 1); a miss raises `ShortestPathCacheMiss`. - `thaw()` waits for active calls, then returns to building mode; lifecycle calls cannot be - overtaken by later readers or builders. +not traffic) that policies use, keyed by the root set, the direction and the Eligibility. In +building mode a miss searches and inserts; `freeze()` makes it read-only and shareable by every +worker of an evaluator, and a miss then raises `ShortestPathCacheMiss` +([the shortest-path cache](docs/semantics.md#9-the-shortest-path-cache)). ### Evaluators All three take one options type, `EvaluationOptions(config, *, eligibility=None, cache=None, -outputs=None, design_demand=None, offer=None)`. `evaluate_demand(graph, sources, destinations, -options)` evaluates a fresh policy on a fresh ledger at full capacity: with no `offer`, the -uncapped question (Lossless) or, for `ShortestPaths` `EQUAL`/`WEIGHTED` Lossy, the first-hop -experiment; with a finite `offer`, that offer, for every model (T1 always names a finite -`design_demand`; T2 takes the offer as its design when none is given). -`CentralizedTE(source_allocation=OPTIMIZED)` gives the exact maximum flow with its marginal cost -curve, and its minimum cut with `outputs=OutputOptions(min_cut=True)`. `evaluate_pairs(graph, -pairs, options, per_pair_eligibility=None, workers=None)` evaluates independent pairs in pair order -(the lowest failing index raises; Pinned, whose program fixes its endpoints, is rejected). -`evaluate_edge_failures(graph, sources, destinations, options, workers=None)` reports, for every -candidate edge, the signed `delivery_reduction` when the edge is removed, at the same offer and -design. With `workers=None` the worker count is 1 when a cache is supplied, otherwise it comes -from `NGRAPH_CORE_BATCH_THREADS` and `NGRAPH_CORE_SENSITIVITY_THREADS`. +outputs=None, design_demand=None, offer=None)`, and evaluate on a fresh ledger at full capacity: +`evaluate_demand(graph, sources, destinations, options)` one demand, `evaluate_pairs(graph, pairs, +options, per_pair_eligibility=None, workers=None)` many independent pairs, and +`evaluate_edge_failures(graph, sources, destinations, options, workers=None)` the signed +`delivery_reduction` when each edge is removed, at the same offer and design. +Without an offer, `CentralizedTE(source_allocation=OPTIMIZED)` gives the exact maximum flow with +its marginal cost curve, and its minimum cut with `outputs=OutputOptions(min_cut=True)`; a finite +offer below the maximum reports no cut ([evaluators](docs/semantics.md#10-evaluators)). ### Flow core -One native integer minimum-cost flow core serves `CentralizedTE` routing, the `OPTIMIZED` allocation, -the evaluators and T2's sizing (there with every cost taken as 0: a maximum flow): the largest flow -up to a cap from a source set to a destination set over the eligible edges, sent at the lowest -total cost, starting from zero flow. For `evaluate_edge_failures` of unrestricted `CentralizedTE` -with `OPTIMIZED` source allocation and a maximum baseline, exact residual certificates or the -first deletion-repair stage give the same loss as a fresh solve. Each repair resets independently; -unbalanced intermediate amounts are never published. At an offer that binds, each deletion is -solved afresh at that offer. Its private Python entry -`_netgraph_core._solve_min_cost_flow(graph, view, sources, destinations, eligibility, cap)` returns -the payload `{flow_value, marginal_cost_curve, edge_flows, min_cut, potentials, counters}` for the flow -checks of the test suites. +One native integer minimum-cost flow core serves `CentralizedTE` routing, the `OPTIMIZED` +allocation, the evaluators and T2's sizing (there with every cost taken as 0: a maximum flow): the +largest flow up to a cap from a source set to a destination set over the eligible edges, sent at +the lowest total cost. ## Quick Start @@ -278,6 +188,11 @@ print(ngc.as_float(result.call_delivered, q)) # 15.0 print(result.marginal_cost_curve) # [(2, 40960), (4, 20480)] print(result.total_cost) # 163840 +# ECMP over the same graph: only the cost-2 path is shortest; 2 of the 12 are dropped on its first edge. +ecmp = ngc.FlowPolicyConfig(routing=ngc.ShortestPaths(), admission=ngc.Admission.LOSSY) +r = ngc.FlowPolicy(ngc.FlowLedger(graph), 0, 3, ecmp).place(ngc.to_units(12.0, q)) +print(ngc.as_float(r.call_delivered, q), r.call_edge_drops) # 10.0 [(0, 8192)] + # T1: two tunnels sized for 12; the second finds no path with 6 units unreserved. t1 = ngc.FlowPolicyConfig(routing=ngc.DistributedTE(ngc.TunnelCount(2)), admission=ngc.Admission.LOSSY) policy = ngc.FlowPolicy(ngc.FlowLedger(graph), 0, 3, t1) @@ -287,6 +202,8 @@ print(ngc.as_float(r.call_delivered, q)) # 10.0 print(ngc.as_float(r.plan.total_reserved_bandwidth, q)) # 6.0 # T2: 16 tunnels of one common size, 11 on the 10-unit path and 5 on the 5-unit one. +# The 10-unit path (40960 units) bounds the size at 40960/11, whose whole-unit floor is 3723; +# 59575 is the largest total whose round-robin split over the 16 tunnels still fits. te16 = ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.EQUAL, tunnel_count=ngc.TunnelCount(16), prefer_headroom=True)) r = ngc.FlowPolicy(ngc.FlowLedger(graph), 0, 3, te16).replace(float("inf")) @@ -349,7 +266,7 @@ make format # Apply ruff formatting (make hooks runs every pre-commit fix Performance claims are timed with the A/B/A tool (old build, new build, then the old build again on one machine, so drift shows), described in [dev/perf/README.md](dev/perf/README.md) -(`make perf-tool-test` tests the tool itself; CI runs it on one macOS job). +(`make perf-tool-test` tests the tool itself). The editable development build (`make install`, `make dev`) carries the private test hooks (CMake option `NETGRAPH_CORE_PRIVATE_HOOKS`; a wheel build does not); the test suites skip the diff --git a/bindings/python/apply_actions.cpp b/bindings/python/apply_actions.cpp index 2d5ebc5..eb711f8 100644 --- a/bindings/python/apply_actions.cpp +++ b/bindings/python/apply_actions.cpp @@ -182,8 +182,8 @@ void register_apply_actions(py::module_& m) { "transaction -> list[PlacementResult], one per action in input order, each the scalar call's fields\n" "for its policy. The whole list is validated first, then computed, then published once (one exchange\n" "of every policy's records, then their epochs): a failed call raises with the ledger and every\n" - "policy unchanged (with the two limits in the module docstring). A policy appears at most once, and\n" - "every policy belongs to ledger.\n" + "policy unchanged (with the two limits stated in the package docstring). A policy appears\n" + "at most once, and every policy belongs to ledger.\n" "mode ORDERED: each action runs in list order on a private working state exactly as its scalar call\n" "would on the state the earlier actions left (their carried load and holds); new records take\n" "FlowIds in list order. Earlier actions are served first: a reservation gives no protection. mode SIMULTANEOUS:\n" diff --git a/bindings/python/evaluators.cpp b/bindings/python/evaluators.cpp index 92593a9..9a6f43c 100644 --- a/bindings/python/evaluators.cpp +++ b/bindings/python/evaluators.cpp @@ -134,7 +134,8 @@ void register_evaluators(py::module_& m) { "-> PlacementResult. LOSSLESS delivers up to a finite offer; LOSSY accounts for exactly that offer\n" "(ShortestPaths EQUAL/WEIGHTED LOSSY without an offer: the first-hop experiment). The options are checked as\n" "the EvaluationOptions docstring states.\n" - "The exact maximum flow is CentralizedTE(source_allocation=OPTIMIZED); with source_allocation=EQUAL, the largest\n" + "Without an offer, CentralizedTE(source_allocation=OPTIMIZED) gives the exact maximum flow (a finite offer below\n" + "it stops the solve there, with no cut); with source_allocation=EQUAL, the largest\n" "total whose round-robin source shares are all carried; with WEIGHTED (CentralizedTE without tunnel_count),\n" "the largest total whose highest-averages shares of source_weights are all carried.\n" "A supplied frozen cache raises ShortestPathCacheMiss\n" @@ -258,12 +259,9 @@ void register_evaluators(py::module_& m) { "other edge keeps the baseline feasible, at any offer); otherwise every allowed edge, whatever its capacity (an edge of capacity 0\n" "can carry a route, so deleting it can change the result, and with the equal source allocation a deletion that\n" "removes a source from the roster can raise the total: a negative reduction). delivery_reduction =\n" - "baseline.call_delivered minus the call_delivered of evaluate_demand() without the edge, in signed\n" - "units, never thresholded. Two shortcuts give exactly that value. Unrestricted optimized CentralizedTE\n" - "whose baseline is a maximum flow (no offer, or an offer above what it delivers) reads each loss from\n" - "the baseline's residual network without a new solve: a saturated edge whose endpoints lie in different\n" - "strongly connected components loses its whole flow, any other its flow minus what can be rerouted\n" - "between its endpoints. At an offer the baseline delivers, each deletion is solved at the offer. ShortestPaths\n" + "baseline.call_delivered minus the call_delivered of a fresh evaluate_demand() without the edge, at the\n" + "same offer, design and other options, in signed units, never thresholded; it is not the traffic the\n" + "edge carried. ShortestPaths\n" "gives reduction 0 without placing to an edge outside the static shortest-path support reachable from\n" "the roster sources (no route can use it). CentralizedTE with a support solves every deletion afresh; Pinned\n" "replays the same program under each deletion. workers as evaluate_pairs\n" diff --git a/bindings/python/flow_policy.cpp b/bindings/python/flow_policy.cpp index 9c66ef3..49d5046 100644 --- a/bindings/python/flow_policy.cpp +++ b/bindings/python/flow_policy.cpp @@ -154,9 +154,9 @@ void register_flow_policy(py::module_& m) { "The placement engine for one demand, bound to its ledger at construction. A final Python class.\n" "Native computation releases the GIL; one ledger gate serializes calls and mutable reads. Every call (place,\n" "evaluate, replace, forward) is all-or-nothing: a failed call raises and leaves the ledger and the\n" - "policy as they were (with the two limits in the module docstring). remove() takes every flow of the\n" - "policy back out, clears its program and starts a new epoch (the request total starts again from 0);\n" - "replace and forward start one too. A policy dropped without remove()\n" + "policy as they were (with the two limits stated in the package docstring). remove()\n" + "takes every flow of the policy back out, clears its program and starts a new epoch (the request\n" + "total starts again from 0); replace and forward start one too. A policy dropped without remove()\n" "leaves its records in the ledger as orphans: readable, never changed again, cleared by\n" "FlowLedger.reset(). sources and destinations are one NodeId or a sequence; the two sets must not\n" "overlap. ValueError for invalid endpoints, configurations and requests and for objects of another\n" @@ -235,9 +235,7 @@ void register_flow_policy(py::module_& m) { "(also for 0).\n" "Requests add up within an epoch (from construction, the last remove(), replace() or forward());\n" "after float('inf') any finite request is rejected, 0 included. A request of 0 places nothing and\n" - "reports the current state. ShortestPaths prepares its program at the epoch's first positive request;\n" - "with FEWER_HOPS or HIGHER_CAPACITY and EQUAL, CAPACITY or EXPLICIT weights the policy uses again the\n" - "program it prepared before (equal values; evaluate never keeps one, and remove still empties program).\n" + "reports the current state. ShortestPaths prepares its program at the epoch's first positive request.\n" "LOSSLESS admits the largest total in [admitted, admitted + offer] that the program carries with no\n" "loss (a refused unit is not offered again); LOSSY forwards the new round-robin (or captured-weight)\n" "injections, each head splitting its increment afresh (earlier drops are not offered again); a\n" @@ -298,7 +296,7 @@ void register_flow_policy(py::module_& m) { "Recompute from the policy's own released view and forward the full offer, published atomically ->\n" "PlacementResult: the old records and holds are retired (their ids never live again), new ones\n" "created, and a new epoch starts at this offer (delivery may go down: delivery_delta). ShortestPaths\n" - "prepares its routes again on that view (a static route choice uses its kept, equal program); a\n" + "prepares its routes again on that view; a\n" "controller re-solves; T1 sets its tunnels up again for the design and books their holds; T2 lays its\n" "tunnels out again for the design (planned bandwidth, never held);\n" "Pinned forwards its program. design_demand (T1 and T2: int units, or float('inf'); None: equal to\n" diff --git a/bindings/python/flow_policy_config.cpp b/bindings/python/flow_policy_config.cpp index 4a0e16a..92c2313 100644 --- a/bindings/python/flow_policy_config.cpp +++ b/bindings/python/flow_policy_config.cpp @@ -69,9 +69,10 @@ void register_policy_config(py::module_& m) { "Optional outputs of a placement (all false by default; absent outputs are None):\n" "edge_flows (the policy's own allocation per edge after the call), residual and\n" "saturated_boundary_edges (the ledger's after the call), edge_reservations (the policy's own\n" - "strict holds per edge after the call; zeros for a model without holds), and min_cut (CentralizedTE with\n" - "the optimized source allocation, when its solve reached the maximum flow; None for every other\n" - "model, source allocation or call).") + "strict holds per edge after the call; zeros for a model without holds), and min_cut (unrestricted\n" + "CentralizedTE with the optimized source allocation, when the call's solve reached the maximum\n" + "flow; [] for an empty roster, place(0) excepted; None for every other model or source allocation,\n" + "for place(0) and for a forward with a nonempty roster).") .def(py::init([](StrictBool edge_flows, StrictBool residual, StrictBool saturated_boundary_edges, StrictBool edge_reservations, StrictBool min_cut) { OutputOptions o; diff --git a/bindings/python/forwarding_program.cpp b/bindings/python/forwarding_program.cpp index f92aea7..7634bd0 100644 --- a/bindings/python/forwarding_program.cpp +++ b/bindings/python/forwarding_program.cpp @@ -137,12 +137,13 @@ void register_program(py::module_& m) { py::class_>( m, "ForwardingProgram", "An immutable value: one demand's routes and integer weights. sources and destinations (the normalized\n" - "sets); tunnels: the path entries in ascending index (split routes are not listed); source_weights: the\n" + "sets); tunnels: the path entries in ascending entry_id (split routes are not listed); source_weights: the\n" "captured weights ((source, weight) for every roster source, ascending): optimized controllers' solved\n" "supplies, weighted CentralizedTE's declared weights, or None for equal sources (round robin). Each head splits its share by\n" "highest averages over its entries' weights; identical routes are never merged. ShortestPaths and CentralizedTE\n" "produce one (FlowPolicy.program, PlacementResult.program), and so do T1 and T2 (their tunnels);\n" - "from_routes builds one from given routes; Pinned forwards one. No public constructor.") + "from_routes builds one from given routes and from_dag one shared hop-by-hop program on a DAG; Pinned\n" + "forwards one. No public constructor.") .def_property_readonly( "sources", [](const ForwardingProgram& p) { return ints_tuple(p.sources()); }, "the source set, ascending") @@ -157,7 +158,7 @@ void register_program(py::module_& m) { const auto t = p.tunnels(); return tuple_of(std::vector(t.begin(), t.end())); }, - "the program's tunnels (Tunnel), ascending index") + "the program's tunnels (Tunnel), ascending entry_id") .def_property_readonly( "source_weights", diff --git a/bindings/python/options.cpp b/bindings/python/options.cpp index 4222bf9..deeec5a 100644 --- a/bindings/python/options.cpp +++ b/bindings/python/options.cpp @@ -14,8 +14,8 @@ namespace netgraph::core::bindings { void register_options(py::module_& m) { py::enum_(m, "RouteAllocation", - "How traffic spreads over the routes (ShortestPaths's kernel; the interior split of supplied PredecessorDAG\n" - "routes, EQUAL or WEIGHTED).\n" + "How a demand's traffic is split at every router of its routes (ShortestPaths; also the interior split\n" + "of supplied PredecessorDAG routes, EQUAL or WEIGHTED).\n" "OPTIMIZED: the minimum-cost flow core over the routes (a controller restricted to them), re-solved\n" "over the free capacity plus the policy's own allocation (it may move its own earlier placement,\n" "never another's). WEIGHTED (WCMP, weighted-cost multipath): every node splits in proportion to\n" diff --git a/bindings/python/path_enumeration.cpp b/bindings/python/path_enumeration.cpp index e0199d4..1d9b96e 100644 --- a/bindings/python/path_enumeration.cpp +++ b/bindings/python/path_enumeration.cpp @@ -78,7 +78,7 @@ void register_paths(py::module_& m) { "AbsoluteCost(c) with c >= 0, or CostStretch(n/d) with n/d >= 1 times the static shortest\n" "cost under the eligibility, compared exactly, residual ignored; inclusive); residual (int64 units per\n" "EdgeId, each in [0, edge_capacity_units]: edges with less than 1 unit are skipped, and the values\n" - "feed the availability; it is the only capacity filter, and without it an edge of capacity 0 is\n" + "feed the availability; it is the only capacity threshold, and without it an edge of capacity 0 is\n" "searched like any other); eligibility (None: everything allowed). A parallel_edges that is not a\n" "bool raises TypeError here; the other fields are validated by ksp, in the order its docstring\n" "gives.") @@ -98,7 +98,7 @@ void register_paths(py::module_& m) { "the inclusive cost ceiling as given: None, AbsoluteCost or CostStretch (validated by ksp)") .def_readonly("residual", &PyKspOptions::residual, "the residual units per EdgeId as given (validated by ksp); None: no capacity filter;\n" - "priorities read static capacity") + "the tie scores read static capacity") .def_property_readonly("eligibility", shared_field(&PyKspOptions::eligibility), "the static Eligibility; None: everything allowed"); m.def( @@ -140,7 +140,7 @@ void register_paths(py::module_& m) { "The k shortest simple source -> destination paths over the eligible edges (only those with residual >= 1 when\n" "a residual is given; an edge of capacity 0 is searched like any other) -> [(cost, Path)], each hop\n" "a single edge. Order: lowest cost; then, under a HIGHER_* tie_break only, the highest bottleneck\n" - "(the smallest tie value along the path); then fewest hops; then the smallest EdgeId\n" + "(the smallest edge score along the path); then fewest hops; then the smallest EdgeId\n" "sequence. The result is the first k paths of that order\n" "within the inclusive cost ceiling. A wrong type raises TypeError; structural, range and combination\n" "defects raise ValueError. Validated in this order before any work: source and\n" diff --git a/bindings/python/placement_result.cpp b/bindings/python/placement_result.cpp index e760bf2..d47e8e7 100644 --- a/bindings/python/placement_result.cpp +++ b/bindings/python/placement_result.cpp @@ -120,7 +120,7 @@ void register_placement_result(py::module_& m) { py::class_(m, "TunnelPlan", "The tunnel models' setup summary (read-only): tunnels_per_head (T2 up to: the chosen count),\n" - "design_demand (the design volume D in units), design_by_head ((head, RR(D, H, i)) for every\n" + "design_demand (the design demand D in units), design_by_head ((head, RR(D, H, i)) for every\n" "roster head in ascending NodeId) and total_reserved_bandwidth (T1's strict holds, counted once\n" "per up tunnel: the sum of their requests; 0 for T2). T2 only (None for T1): heads_with_capacity,\n" "insufficient_resolution (live heads exist but no whole unit per tunnel fits, U == 0: the\n" @@ -128,7 +128,9 @@ void register_placement_result(py::module_& m) { "Fraction), max_bandwidth_per_tunnel (U), planned_bandwidth_per_tunnel (u),\n" "total_planned_bandwidth (K*u), total_tunnel_cost (the route-cost sum, can exceed 2^64),\n" "headroom_penalty (with prefer_headroom only) and max_lossless_offer (the program's lossless\n" - "maximum; a dead head's share blocks it). Exact ints.") + "maximum on the view it was planned on; a dead head's share blocks it). Exact ints. A plan\n" + "describes the computation that installed the tunnels: forward returns it unchanged, its\n" + "bounds not recomputed for the new offer, load or black holes.") .def_property_readonly("tunnels_per_head", int_reader(&TunnelPlan::tunnels_per_head), "the tunnels per head (T2 up to: the chosen count)") .def_property_readonly( @@ -172,7 +174,8 @@ void register_placement_result(py::module_& m) { "T2 with prefer_headroom: the sum over the links' tunnel slots j of floor(2^32 (B - V + j*u) / B)\n" "(B: static capacity; V: free capacity); None without prefer_headroom and for T1") .def_property_readonly("max_lossless_offer", optional_int_reader(&TunnelPlan::max_lossless_offer), - "T2: F, the program's lossless maximum on the call's view (a dead head's share blocks it)") + "T2: F, the program's lossless maximum on the view it was planned on (a dead head's share blocks\n" + "it); forward keeps the plan unchanged") .def("__repr__", [](const TunnelPlan& p) { return "TunnelPlan(tunnels_per_head=" + std::to_string(p.tunnels_per_head) + ", total_reserved_bandwidth=" + std::to_string(p.total_reserved_bandwidth) + ")"; }); @@ -192,9 +195,10 @@ void register_placement_result(py::module_& m) { "NodeId), by_tunnel (one TunnelFlow per program tunnel, ascending entry_id; an alternative view, never\n" "added to by_source), total_cost (controllers: CentralizedTE and ShortestPaths OPTIMIZED; else None)\n" "and marginal_cost_curve (unrestricted CentralizedTE with the optimized source allocation only).\n" - "LOSSY: offered = source_drops + sum(edge_drops) + delivered. The rows sum to the totals, except for\n" - "LOSSY with an empty roster, where the whole offer is the demand's source drops and every row is\n" - "zero. Optional outputs, None unless requested: edge_flows, residual and edge_reservations\n" + "LOSSY: offered = source_drops + sum(edge_drops) + delivered. The rows sum to the totals, except, under\n" + "LOSSY, for an empty roster and for a forwarding whose remaining captured source weights are all 0\n" + "(a controller program that sent nothing, or a mask that left only zero-weight heads): the whole\n" + "offer is then the demand's source drops and every row is zero. Optional outputs, None unless requested: edge_flows, residual and edge_reservations\n" "(int64[E]), saturated_boundary_edges, min_cut (they describe the same\n" "state; evaluate: the evaluated one). Amounts that accumulate are exact ints (they may exceed 64 bits).") .def_property_readonly("call_delivered", int_reader(&PlacementResult::call_delivered), "the units placed (delivered) by this call") @@ -222,7 +226,7 @@ void register_placement_result(py::module_& m) { "absent entry weighs 0)") .def_readonly("reservations_changed", &PlacementResult::reservations_changed, "True when a tunnel's requested or reserved amount differs from the installed program's, by\n" - "index (an absent tunnel holds 0): only T1 sets it; forward and Pinned never do") + "entry_id (an absent tunnel holds 0): only T1 sets it; forward and Pinned never do") .def_property_readonly( "program", @@ -269,7 +273,7 @@ void register_placement_result(py::module_& m) { .def_property_readonly( "by_tunnel", [](const PlacementResult& r) { return tuple_of(r.by_tunnel); }, - "one TunnelFlow per program tunnel, ascending index (empty without tunnels)") + "one TunnelFlow per program tunnel, ascending entry_id (empty without tunnels)") .def_property_readonly( "total_cost", [](const PlacementResult& r) { return counter_or_none(r.total_cost); }, @@ -283,8 +287,11 @@ void register_placement_result(py::module_& m) { r.marginal_cost_curve ? pairs_list(*r.marginal_cost_curve).release() : py::none().release()); }, "unrestricted CentralizedTE with the optimized source allocation: the marginal cost curve [(cost, units)] of the policy's\n" - "cumulative flow (a zero call reports it unchanged; None before the epoch's first positive\n" - "call); in ascending cost, delivering `units` more raised the minimum total flow cost by `cost`\n" + "flow as the call's solve computed it (a positive place: the cumulative flow; evaluate and replace,\n" + "a zero offer included: the whole offer); place(0) keeps the stored curve (None before the epoch's\n" + "first solve or forward; after a forward, None for a nonempty roster and [] for an empty one);\n" + "a forward with a nonempty roster solves nothing and reports None; with an empty roster every\n" + "call but place(0) reports []; in ascending cost, delivering `units` more raised the minimum total flow cost by `cost`\n" "per unit (more delivery can reroute earlier flow, so these are not the costs of the final\n" "paths). None for the other models and prescribed (EQUAL or WEIGHTED) sources") .def_property_readonly( @@ -328,8 +335,9 @@ void register_placement_result(py::module_& m) { "reached the maximum flow: the minimum cut closest to the sources, every allowed edge leaving\n" "the nodes the roster sources reach in the residual network (free capacity plus the policy's\n" "own allocation), an edge with nothing free (capacity 0, or held by others) included,\n" - "ascending EdgeId; [] for an empty roster. None otherwise (another model, prescribed EQUAL or WEIGHTED sources, a\n" - "support, a call below the maximum, a zero call, forward)") + "ascending EdgeId; [] for an empty roster, place(0) excepted. None otherwise (another model,\n" + "prescribed EQUAL or WEIGHTED sources, a support, a solve stopped below the maximum, place(0),\n" + "a forward with a nonempty roster)") .def("__repr__", [](const PlacementResult& r) { return "PlacementResult(call_delivered=" + std::to_string(r.call_delivered) + ", termination=" + termination_name(r.termination) + ")"; diff --git a/bindings/python/routing_models.cpp b/bindings/python/routing_models.cpp index c42e01c..0233efc 100644 --- a/bindings/python/routing_models.cpp +++ b/bindings/python/routing_models.cpp @@ -138,7 +138,8 @@ void register_routing(py::module_& m) { py::class_(m, "CostStretch", "Cost ceiling: a path qualifies when cost * d <= n * base, exactly, where n/d is the factor as\n" - "one reduced fraction and base the static shortest cost under the Eligibility.") + "one reduced fraction and base the static shortest cost under the Eligibility (T1: the smallest\n" + "over all roster heads).") .def(py::init([](const py::object& factor) { return cost_stretch_of(factor); }), py::arg("factor"), "CostStretch(factor): in this order, a bool (or numpy.bool_) raises TypeError; a fractions.Fraction\n" "is taken as it is; a Python float or any NumPy floating value is Fraction(str(f)), the shortest\n" @@ -190,8 +191,9 @@ void register_routing(py::module_& m) { py::class_(m, "ShortestPaths", "Routing like IGP forwarding (OSPF, IS-IS routers) on each roster source's static shortest-path\n" - "DAG (read from the ShortestPathCache; the route choice is applied at the epoch's first positive call),\n" - "fixed for the epoch; one record per roster source. EQUAL (ECMP, the default) and WEIGHTED\n" + "DAG (read from the ShortestPathCache; the route choice is applied when the program is prepared:\n" + "a positive place of an epoch without one, or any replace or evaluate), fixed for the epoch;\n" + "one record per roster source. EQUAL (ECMP, the default) and WEIGHTED\n" "(WCMP) pool the sources (source allocation EQUAL): where their routes meet, a router splits\n" "their traffic once. OPTIMIZED is a controller on the union of those routes (source allocation\n" "OPTIMIZED by default, or EQUAL). An edge of capacity 0 stays in the DAG: EQUAL still sends it\n" @@ -253,7 +255,7 @@ void register_routing(py::module_& m) { m, "DistributedTE", "T1: every head sets up its own strict tunnels by CSPF, no controller (like RSVP-TE head ends).\n" "The design volume D is split equally over the roster heads and each head's share equally over its\n" - "tunnel_count.per_head tunnels; in round order (round j, heads ascending: tunnel index j*H + i) each tunnel\n" + "tunnel_count.per_head tunnels; in round order (round j, heads ascending: entry_id j*H + i) each tunnel\n" "keeps the allowed links whose unreserved capacity (the ledger's, minus the holds of every other\n" "owner and of this setup's earlier tunnels) is at least max(request, min_unreserved_bandwidth) (a\n" "request of 0 with a minimum of 0 has no filter) and takes the shortest path in the tie_break's\n" @@ -312,31 +314,33 @@ void register_routing(py::module_& m) { }); py::class_(m, "CentralizedTE", - "Routing: an ideal central controller that sees the whole network (with `tunnel_count`: T2, below).\n" - "Every positive call re-solves the minimum-cost flow of what the policy already delivers plus this\n" - "call's request (delivered() + offer; what an earlier call could not place is not requested\n" - "again) over the eligible graph, or exactly over `support` (a PredecessorDAG of the policy's graph, trimmed to the\n" - "walks from the sources to the allowed destinations under the Eligibility; every other edge\n" - "carries nothing), on the free capacity plus its own allocation (it may move its own traffic,\n" - "never another's). It takes no route choice. Its source_allocation is required: OPTIMIZED, the\n" - "controller chooses how much enters at each source; EQUAL: every roster source sends its\n" - "round-robin share of the largest total whose shares all fit; WEIGHTED: highest-averages shares\n" - "of declared source_weights, only without tunnels. Zero weights receive nothing; all-zero\n" - "roster weights end NO_ACTIVE_WEIGHT on a positive live call. The program saves declared weights\n" - "for weighted sources, solved supplies for optimized sources. Its program is the solve cut into\n" - "paths per source, each a tunnel weighted by its amount. A positive call on a network beyond the\n" - "flow core's int32 numbering raises ValueError (see FlowPolicy.place).\n" - "T2, CentralizedTE(source_allocation=..., tunnel_count=TunnelCount(N)) (no route choice either; with\n" - "support, every step uses only the support's edges allowed by the policy's mask): a controller (like\n" - "a PCE) lays out, for every live head (one reaching a destination over links with free capacity\n" - ">= 1; the other heads are dead and lose their share), N single-path tunnels with one common\n" - "whole-unit planned bandwidth: first as large as possible (U), then for a finite design no larger\n" - "than needed (u), then the cheapest routes, then with prefer_headroom=True the routes that leave\n" - "the most spare capacity, then one fixed unit-by-unit tie. TunnelCount(L, up_to=True): the smallest\n" - "common count k <= L whose program carries the live heads' design shares (else the largest\n" - "live-share score, then the smallest count); no promise of whole-demand lossless delivery.\n" - "Traffic splits equally over the heads and over each head's tunnels; planned bandwidth is never\n" - "held.") + "Routing: an ideal central controller that sees the whole network, or only a support DAG. It takes\n" + "no route choice, and its source_allocation is required.\n" + "Without tunnel_count: a positive place re-solves the minimum-cost flow of what the policy\n" + "already delivers plus this call's request (delivered() + offer; what an earlier call could not\n" + "place is not requested again); evaluate and replace solve their whole offer afresh, and forward\n" + "sends its offer over the installed paths without a solve. A solve runs over the eligible graph,\n" + "or exactly over `support` (a\n" + "PredecessorDAG of the policy's graph, trimmed to the walks from the sources to the allowed\n" + "destinations under the Eligibility; every other edge carries nothing), on the free capacity\n" + "plus its own allocation: it may move its own traffic, never another's. OPTIMIZED: the controller\n" + "chooses how much enters at each source. EQUAL: every roster source sends its round-robin share\n" + "of the largest total whose shares all fit. WEIGHTED: highest-averages shares of the declared\n" + "source_weights; zero weights receive nothing, and all-zero roster weights end NO_ACTIVE_WEIGHT\n" + "on a positive live call. The program is the solve cut into paths per source, each a tunnel\n" + "weighted by its amount; it keeps the declared weights for weighted sources and the solved\n" + "supplies for optimized ones. A positive call on a network beyond the flow core's int32\n" + "numbering raises ValueError (see FlowPolicy.place).\n" + "With tunnel_count=TunnelCount(N) (T2; with support, every step uses only the support's edges\n" + "allowed by the policy's mask): a controller (like a PCE) lays out, for every live head (one\n" + "reaching a destination over links with free capacity >= 1; the other heads are dead and lose\n" + "their share), N single-path tunnels with one common whole-unit planned bandwidth: first as\n" + "large as possible (U), then for a finite design no larger than needed (u), then the cheapest\n" + "routes, then with prefer_headroom=True the routes that leave the most spare capacity, then one\n" + "fixed unit-by-unit tie. TunnelCount(L, up_to=True): the smallest common count k <= L whose\n" + "program carries the live heads' design shares (else the largest live-share score, then the\n" + "smallest count); no promise of whole-demand lossless delivery. Traffic splits equally over the\n" + "heads and over each head's tunnels; planned bandwidth is never held.") .def(py::init([](SourceAllocation source_allocation, const py::object& source_weights, const py::object& support, const py::object& tunnels, StrictBool prefer_headroom) { CentralizedTE gl(source_allocation); diff --git a/bindings/python/search.cpp b/bindings/python/search.cpp index 7a7d3ee..5f5eabb 100644 --- a/bindings/python/search.cpp +++ b/bindings/python/search.cpp @@ -72,7 +72,7 @@ void register_search(py::module_& m) { "parallel_edges both True is rejected by spf; residual (int64 units per EdgeId, each in [0,\n" "edge_capacity_units]) makes the search skip edges with fewer than min_residual residual units\n" "(an integer >= 1; without a residual it has no effect) and supplies the availability: it is the\n" - "only capacity filter, and without it an edge of capacity 0 is searched like any other;\n" + "only capacity threshold, and without it an edge of capacity 0 is searched like any other;\n" "eligibility (None: everything allowed). A direction outside its enumeration raises ValueError\n" "here, a multipath or parallel_edges that is not a bool TypeError; the other fields are validated\n" "by spf, in the order its docstring gives.") @@ -95,7 +95,7 @@ void register_search(py::module_& m) { .def_readonly("targets", &PySpfOptions::targets, "the targets as given (validated by spf); None: a full search") .def_readonly("residual", &PySpfOptions::residual, "the residual units per EdgeId as given (validated by spf); None: no capacity filter;\n" - "priorities read static capacity") + "the tie scores read static capacity") .def_readonly("min_residual", &PySpfOptions::min_residual, "the gating threshold in units as given (validated by spf: an integer >= 1)") .def_property_readonly("eligibility", shared_field(&PySpfOptions::eligibility), "the static Eligibility; None: everything allowed"); diff --git a/bindings/python/units.cpp b/bindings/python/units.cpp index cc58ccc..358d2ea 100644 --- a/bindings/python/units.cpp +++ b/bindings/python/units.cpp @@ -270,27 +270,23 @@ void register_units(py::module_& m) { return int64_array(result); }, py::arg("x"), py::arg("resolution"), - "Physical value(s) to units of resolution q. Each input becomes binary64 b: float32 widens\n" - "exactly; integers become the nearest double, ties to even. Return floor(b/q + 1/2),\n" - "evaluated exactly, never by floating addition of 1/2 or by reading the printed decimal.\n" - "Ties are b=(2n+1)*q/2, 0 <= n < 2^52; each gives n+1, never the even neighbour. Scaling\n" - "by q=2^k is exact while normal; underflow only affects values rounding to zero. Below\n" - "2^52 scaled units the fractional comparison is exact; above it doubles are integral.\n" + "Physical value(s) to whole units of the resolution q: each input is read as its binary64 value b,\n" + "and b/q is rounded half up to an integer, exactly. Converted back, a result differs from b by at\n" + "most q/2 (+q/2 exactly at a tie, which goes up).\n" + "float32 widens exactly; integers become the nearest double, ties to even, so an integer above 2^53\n" + "can change before the rounding (2^53+1 at q=1 gives 2^53). The result is floor(b/q + 1/2),\n" + "evaluated exactly, never by floating addition of 1/2 or by reading the printed decimal. Ties are\n" + "b=(2n+1)*q/2, 0 <= n < 2^52; each gives n+1, never the even neighbour.\n" "A scalar or 0-d array gives an int; a sequence or 1-d array gives an int64 array. Negative\n" "zero gives 0. NaN, infinity, negative values, an integer too large for NumPy and results\n" "at or above 2^62 units raise ValueError. A bool, string, wrong dtype/rank or type other\n" "than int, float or NumPy numbers raises TypeError; int/float subclasses use stored values.\n" "q must be a power of two in [2^-32, 2^32]: a float, NumPy float or integer (another type\n" "raises TypeError, an integer beyond the float range ValueError).\n" - "Every result u is exactly representable, so as_float(u,q) adds no error: against b,\n" - "-q/2 < as_float(u,q)-b <= q/2, with +q/2 exactly at ties. Against an original argument a\n" - "changed by promotion, add b-a (2^53+1 at q=1 loses 1 before quantization). N separately\n" - "rounded values have total error in (-N*q/2,N*q/2]; no sign is promised. With symmetric\n" - "non-tie fractional parts, mean error is (q/2)*P(tie); continuous uniform parts have none.\n" - "Round a demand once, then split whole units. 2^53 is no decimal precision threshold: a\n" - "decimal is exact only if its reduced denominator is a power of two and it fits binary64.\n" - "A decimal and its parsed double agree only in the same half-up cell; 5501195.1796 at\n" - "q=2^-21 gives 11536842473289, whereas its decimal reading would give 11536842473288.\n" + "N separately rounded values have a total error in (-N*q/2, N*q/2], with no promised sign: round a\n" + "demand once, then split whole units. A decimal and the double it parses to give the same units\n" + "only when both lie in the same half-up cell: 5501195.1796 at q=2^-21 gives 11536842473289, whereas\n" + "its decimal reading would give 11536842473288 (docs/semantics.md, section 1, has the full rule).\n" "CostStretch deliberately reads printed decimals for ratios; physical amounts use b."); m.def( @@ -323,7 +319,7 @@ void register_units(py::module_& m) { }, py::arg("x"), py::arg("resolution"), "Units to physical value(s): the exact product x*q correctly rounded to binary64, nearest\n" - "with ties to even. x is any signed, unbounded integer: an int or NumPy integer gives a\n" + "with ties to even; exact for abs(x) <= 2^53. x is any signed, unbounded integer: an int or NumPy integer gives a\n" "float, an integer vector a float64 array. An int or NumPy integer, a subclass included,\n" "is never read as a sequence. An integer position accepts __index__, never\n" "a bool; other types raise TypeError. q is a power of two in [2^-32, 2^32] (float, NumPy\n" diff --git a/docs/semantics.md b/docs/semantics.md index 70d3cfc..cb9edde 100644 --- a/docs/semantics.md +++ b/docs/semantics.md @@ -2,8 +2,8 @@ This document says exactly what NetGraph-Core computes: how amounts are counted, how edges are numbered, which route a search returns, how each routing model spreads traffic, what a call reports -and when it fails, how the shortest-path cache behaves, and what the evaluators mean. It -is the full reference behind the API docstrings. For installation and a first example, see the +and when it fails, how the shortest-path cache behaves, and what the evaluators mean. It is the full +reference behind the API docstrings. For installation and a first example, see the [README](../README.md#installation). Each section starts with a short explanation in plain words and then gives the exact rules. When @@ -11,8 +11,14 @@ the two seem to differ, the exact rules are the authority. Names are the Python (`import netgraph_core as ngc`); [the last section](#11-c-names) lists the C++ spellings. Names that start with an underscore are private test and verification entries, not part of the API. +Every Python example below is run by the test suite, in order and in one namespace, and must print +exactly the output block that follows it. + Contents: +- [How the engine works](#how-the-engine-works) +- [Terms](#terms) + 1. [Units: the one numeric domain](#1-units-the-one-numeric-domain) 2. [The graph](#2-the-graph) 3. [Route values: PredecessorDAG and Path](#3-route-values-predecessordag-and-path) @@ -25,14 +31,68 @@ Contents: 10. [Evaluators](#10-evaluators) 11. [C++ names](#11-c-names) +## How the engine works + +A demand is traffic from a set of source nodes to a set of destination nodes. The engine follows it +through six things: + +1. A **graph** (`Graph`): nodes and directed edges, each edge with an integer capacity and a + positive integer cost. Capacities are counted in whole **units**; the graph fixes how big a unit + is. +2. A **ledger** (`FlowLedger`): what the edges of one graph carry now, and the bandwidth that + tunnels hold on them. +3. A **policy** (`FlowPolicy`): one demand on one ledger, with a configuration: a **routing model** + (how routes are chosen) and an **admission** (what to do with traffic that does not fit). +4. A **program** (`ForwardingProgram`): the routes the model chose and the integer weights that say + how traffic is split over them. +5. **Forwarding**: the call's offer is split over the program's routes in whole units. `LOSSLESS` + admits only what goes through without loss; `LOSSY` sends everything and records where it is + lost. +6. A **result** (`PlacementResult`): what the call delivered, what was lost and where, the program, + and the demand's totals. + +One demand, routed like IGP routers with equal-cost multipath (ECMP), on a network of two branches: + +```python +import netgraph_core as ngc + +# Node 0 reaches node 3 over 0 -> 1 -> 3 (capacity 10) and 0 -> 2 -> 3 (capacity 2), every cost 1. +g = ngc.Graph(4, [0, 1, 0, 2], [1, 3, 2, 3], [10, 10, 2, 2], [1, 1, 1, 1], 1.0) +ledger = ngc.FlowLedger(g) +ecmp = ngc.FlowPolicyConfig(routing=ngc.ShortestPaths(), admission=ngc.Admission.LOSSY) +policy = ngc.FlowPolicy(ledger, 0, 3, ecmp) +r = policy.place(10) +print(r.call_delivered, r.call_edge_drops, r.termination.name) +print(ledger.carried().tolist(), ledger.residual().tolist()) +``` + +```text +7 [(1, 3)] COMPLETE +[5, 2, 5, 2] [5, 0, 5, 0] +``` + +The edges are numbered by source, cost and destination, so 0 -> 1 is edge 0, 0 -> 2 edge 1, +1 -> 3 edge 2 and 2 -> 3 edge 3. Node 0 splits the 10 units equally over its two next hops, 5 and 5. +Edge 1 carries 2 of its 5 and drops 3, so 7 arrive. `LOSSY` sends the whole offer, so the call is +`COMPLETE` although 3 units were lost; with `LOSSLESS` the same policy would admit only 5, the +largest offer whose equal split overloads no edge. + ## Terms +Each term in one sentence, in the order the later terms need them; the section named after it +gives the exact rule. + - **Unit, resolution `q`.** Traffic is counted in whole units; one unit is `q` of a physical - quantity (for example `q = 2**-12` Gbit/s). The graph fixes `q` when it is built. -- **Amount.** A whole number of units: a capacity, a residual, a request, a delivery or a drop. -- **Residual.** The capacity of an edge that is still free, in units. -- **EdgeId.** The public number of an edge. It is not the edge's position in the input arrays - (see [section 2](#2-the-graph)). + quantity (for example `q = 2**-12` Gbit/s). The graph fixes `q` when it is built + ([section 1](#1-units-the-one-numeric-domain)). +- **Amount.** A whole number of units: a capacity, a residual, an offer, a delivery or a drop. +- **EdgeId.** The public number of an edge: its rank when the edges are sorted by source, cost and + destination. It is not the edge's position in the input arrays ([section 2](#2-the-graph)). +- **Eligibility (a mask).** Which nodes and edges of a graph a call may use. A failed link or router + is modelled by an Eligibility that excludes it ([Eligibility](#eligibility)). +- **Static.** Depending only on the graph, its costs and the Eligibility, not on traffic. +- **Residual.** The free capacity of an edge: in a ledger, its service baseline minus the traffic + it carries; in a search, the array the caller supplies. - **Tight edge.** An edge `u -> v` that lies on a shortest walk of a search. Searching from the roots, the distance of `u` plus the edge's cost equals the distance of `v`; searching toward them (reverse), where a distance is the distance to the roots, the distance of `v` plus the @@ -40,74 +100,95 @@ Contents: - **Shortest-path DAG.** The set of all tight edges: every shortest route at once. A DAG (directed acyclic graph) is a directed graph with no directed cycle. - **Parallel members.** Several edges between the same two nodes in the same direction. +- **Route choice.** The tie rule (`RouteTieBreak`), `multipath` and `parallel_edges` of a model or + a search ([section 4](#the-route-choice)): cost always comes first, and the tie rule only + orders equal-cost choices. +- **Member graph.** The edges a search may use: eligible (and, when a residual is supplied, at + least the search's residual threshold), whatever their capacity, and one member per pair with + `parallel_edges=False`. - **Canonical path.** The one walk a search returns when a single path is asked for, chosen by the fixed order of [section 4](#the-canonical-single-path). -- **Bottleneck of a walk.** The smallest priority value (residual, capacity or headroom) among the - walk's edges. -- **A flow** is one routed amount on one route, recorded in the ledger as a `FlowRecord`. -- **Policy.** The routing model of one demand, the traffic from a set of sources to a set of - destinations (a `FlowPolicy`): it computes that demand's routes, forwards its traffic over them - and removes it again. -- **Roster.** The sources of a policy that take part in placement, fixed when the policy is built. +- **Bottleneck of a walk.** Under a `HIGHER_*` tie rule, the smallest edge score along the walk: + static capacity, availability, or their exact ratio (headroom), as the rule names + ([the route choice](#the-route-choice)). +- **Demand.** The traffic from a set of sources to a set of destinations; a route ends at the first + destination it reaches. +- **Policy.** A `FlowPolicy`: one demand on one ledger, with its configuration. It computes the + demand's routes, forwards its traffic over them and removes it again. +- **Routing model.** `ShortestPaths`, `DistributedTE` (T1), `CentralizedTE` (with a tunnel count: + T2) or `Pinned`; each holds the options it reads ([configuration](#configuration)). +- **Roster.** The sources of a policy that can reach an allowed destination over allowed nodes and + edges, whatever the capacities, in ascending node id; fixed when the policy is built + ([the source roster](#the-source-roster)). +- **Head.** A roster source, as the start of the routes it sends on. - **Source allocation.** How a demand's total enters at its roster sources: in equal round-robin shares (`SourceAllocation.EQUAL`), highest-averages shares of declared weights (`WEIGHTED`), or as a controller chooses (`OPTIMIZED`). +- **Route allocation.** How a demand's traffic is split at every router of its routes + (`RouteAllocation`): equally (`EQUAL`, ECMP), by integer weights (`WEIGHTED`, WCMP), or as a + controller restricted to those routes chooses (`OPTIMIZED`). - **Round robin `RR(x, k, i)`.** `x` units over `k` members: `x // k` each, and one more for the first `x % k` members. - **Highest averages `H(x, w)`.** `x` units over members with integer weights `w`, given one at a time to the member with the largest `w[i] / (assigned[i] + 1)`, ties to the earlier member; a zero weight gets nothing. +- **Admission.** `LOSSLESS` admits the largest total that the program, splitting by its own rules, + carries with no edge overloaded and no share left without a route; the rest is refused before it + enters. `LOSSY` sends the whole offer and records where it is lost ([section + 5](#5-route-allocations-and-admission)). +- **Offer.** The traffic a call asks a policy to carry (`place(offer)`, `replace(offer)`, ...). +- **Controller.** A routing that solves a flow problem for the whole demand: `CentralizedTE` + without a tunnel count, and `ShortestPaths` with `allocation=OPTIMIZED`. +- **Support.** The DAG a `CentralizedTE` policy may be restricted to (`support=`); every other edge + then carries nothing. +- **Service view.** The ledger's residual plus this policy's own carried traffic: the capacity a + solve or a full-offer call of the policy may use. +- **Setup view (T1).** The ledger's unreserved capacity plus this policy's own holds: what T1's + tunnel setup may reserve. The service view and the setup view are never added together. - **Program.** A `ForwardingProgram`: the routes and integer weights of one demand and the rule - that injects its traffic at the sources. `ShortestPaths`, `CentralizedTE`, T1 (`DistributedTE`) - and T2 produce one; `Pinned` forwards a given one without computing anything - ([section 7](#forwarding-programs)). + that injects its traffic at the sources. Every computing model produces one; `Pinned` forwards a + given one without computing anything ([forwarding programs](#forwarding-programs)). - **Entry.** One route of a program: a **tunnel** (one path, one edge per hop) or a **split route** (a DAG whose routers split by fixed rules). Each entry has an integer identifier, its `entry_id`, and a weight: its share among its head's entries. -- **Head.** A roster source, as the start of its entries. +- **Split context.** The traffic a router splits as one amount. A `ShortestPaths` `EQUAL` or + `WEIGHTED` program and a `from_dag` program add up all their sources' traffic at a shared router + and split it once; each split route given to `from_routes` splits only its own share. The two can + round differently ([example](#supplied-dags-from_dag)). - **T1.** `DistributedTE(TunnelCount(N))`: every head sets up its own N strict-bandwidth tunnels by CSPF (constrained shortest path first: a shortest path among the links with enough unreserved - bandwidth), with no controller ([section 7](#t1-tunnels-set-up-by-their-heads)). -- **T2.** `CentralizedTE(source_allocation=..., tunnel_count=TunnelCount(N))`: a central - controller lays out N single-path tunnels for every live head with one common whole-unit planned - bandwidth ([section 7](#t2-the-controllers-equal-tunnels)). + bandwidth), with no controller ([T1](#t1-tunnels-set-up-by-their-heads)). - **Hold.** Bandwidth an up T1 tunnel reserves on every link of its path. Holds are the ledger's second projection (`reserved`, `unreserved`), kept apart from the carried traffic (`carried`, `residual`); they never police or queue traffic. +- **T2.** `CentralizedTE(source_allocation=..., tunnel_count=TunnelCount(N))`: a central + controller lays out N single-path tunnels for every live head with one common whole-unit planned + bandwidth ([T2](#t2-the-controllers-equal-tunnels)). +- **Live head, dead head (T2).** A head is live when it reaches an allowed destination over links + with at least 1 unit of free capacity; a dead head keeps its share of the traffic and loses it. - **Design demand.** The volume T1 and T2 size their tunnels for (`design_demand`), separately from the offer they forward. T2's planned bandwidth is metadata, never a hold. -- **Split context.** The traffic a split route's routers split: only that route's own share. A - `ShortestPaths` program and a `from_dag` program are one context pooled over their sources; - every split route given to `from_routes` is its own. -- **Black hole.** A node or edge that fails silently: forwarding goes on unchanged and traffic - that reaches it disappears there (stale forwarding). -- **Controller.** A routing that solves a flow problem for the whole demand: `CentralizedTE` - without a tunnel count, and `ShortestPaths` with `allocation=OPTIMIZED`. -- **Offer.** The traffic a call asks a policy to carry (`place(offer)`, `replace(offer)`, ...). - **Epoch.** The period from a policy's construction, a `remove()`, a `replace()` or a `forward()` to the next of these; the offers of `place` add up within it. -- **Lossless / Lossy.** Admission control: Lossless places only what fits end to end; Lossy - forwards hop by hop and drops what does not fit on each edge. -- **Static.** Depending only on the graph, the costs and the Eligibility, not on traffic already - placed (a static walk, the static shortest cost). -- **Route choice.** The tie rule (`RouteTieBreak`), `multipath` and `parallel_edges` of a model or - a search ([section 4](#the-route-choice)): cost always comes first, and the tie rule only - orders equal-cost choices. -- **Member graph.** The edges a search may use: eligible (and, when a residual is supplied, at - least the search's residual threshold), whatever their capacity, and one member per pair with - `parallel_edges=False`. -- **Route allocation.** The rule that spreads one flow over its route (`RouteAllocation`): - `OPTIMIZED`, `WEIGHTED` or `EQUAL`. -- **Route of a record.** The edges one record may use, as a `PredecessorDAG` (`FlowRecord.route`). -- **View.** The capacity a solve may use: the free capacity plus the policy's own allocation. -- **Minimum cut.** A set of edges whose removal separates the sources from the destinations, - with the smallest total capacity; that capacity equals the maximum flow. +- **Black hole.** A node or edge that fails silently: forwarding goes on unchanged and traffic + that reaches it disappears there (stale forwarding). +- **First-hop experiment.** A `LOSSY` `place(float('inf'))` of `ShortestPaths`: each source puts + exactly each first link's free capacity on it, which measures how much the sources can push into + their first links at once ([section 5](#5-route-allocations-and-admission)). +- **Record.** A `FlowRecord`: one routed amount of a policy in the ledger, kept per roster source + or per program entry ([section 6](#6-the-ledger)). +- **Gate.** The single native lock of a ledger: calls on one ledger take effect one at a time + ([section 8](#8-failures-threads-and-lifetimes)). +- **Lease.** A call's admission to a `ShortestPathCache`: exclusive while the cache is building, + shared while it is frozen ([section 9](#9-the-shortest-path-cache)). +- **Minimum cut.** For the optimized controller: the edges that leave the nodes the sources can + still reach once its solve is maximal, the minimum cut closest to the sources + ([the result](#the-result)). - **Marginal cost curve.** `(cost, units)` pairs in ascending cost: delivering `units` more units raises the minimum total cost of the flow by `cost` per unit. Delivering more can reroute flow already placed, so the pairs are not the costs of the paths in the final allocation. -The examples below run in sequence and share these helpers. Each output block is the printed -output of the example above it. +The examples from here on share these two helpers: ```python import netgraph_core as ngc @@ -125,12 +206,96 @@ def config(routing, admission=ngc.Admission.LOSSLESS): ## 1. Units: the one numeric domain **In plain words.** Every amount of traffic is a whole number of units, and the graph says how -big a unit is. Physical numbers enter through `to_units` and leave through `as_float`; nothing -in between is a float, so totals add up exactly and nothing is lost to rounding. Costs are a -separate kind of number: positive integers that are never converted. +big a unit is: its resolution `q`. Physical numbers enter through `to_units` and leave through +`as_float`; nothing in between is a float, so totals add up exactly and nothing is lost to rounding. +Costs are a separate kind of number: positive integers that are never converted. + +`to_units(x, q)` works in two steps. It first reads `x` as the binary64 value `b` it holds: a float +is its own value, and an integer becomes the nearest double. It then rounds `b / q` to a whole +number of units, half up, exactly. Converted back, the result differs from `b` by at most `q / 2`, +and a tie (exactly half a unit) goes up. Reading an integer above `2^53` as `b` can add an error of +its own. + +At `q = 1/4` (a quarter of a Gbit/s, say): + +```python +print(ngc.to_units([2.6, 0.375, 0.125, 0.1], 0.25).tolist()) +print(ngc.as_float([10, 2], 0.25).tolist()) +``` + +```text +[10, 2, 1, 0] +[2.5, 0.5] +``` + +2.6 is about 10.4 units and rounds down to 10, which is 2.5 again. 0.375 is exactly 1.5 units, a +tie, and goes up to 2, which is 0.5: more than the input. 0.125 is the tie 0.5 and gives 1, and 0.1 +(about 0.4 units) gives 0. A link of 2.6 therefore has a capacity of 2.5 in this graph. + +### Splitting whole units + +When `I` units are split over `k` members, every member gets whole units. The members have a +fixed order, which decides every remainder and every tie: a router's next-hop edges in ascending +EdgeId, a demand's sources in ascending node id, and a head's entries in the program's entry +order. There are two rules: + +- **Round robin** (`EQUAL`): every member gets `I // k` units, and the first `I % k` members in + that order get one more. `RR(10, 3) = (4, 3, 3)`. +- **Highest averages** (`WEIGHTED`, the D'Hondt rule): the units are handed out one at a time, + each to the member with the largest `w / (a + 1)` (its weight `w` over its current count `a` + plus one), ties to the earlier member in that order. Equal positive weights give round robin. + +Highest averages with weights 2 and 1, unit by unit: + +| Unit | `w / (a + 1)`: member 0, member 1 | Goes to | Counts after | +| --- | --- | --- | --- | +| 1 | 2/1, 1/1 | 0 | 1, 0 | +| 2 | 2/2, 1/1 (a tie) | 0 | 2, 0 | +| 3 | 2/3, 1/1 | 1 | 2, 1 | +| 4 | 2/3, 1/2 | 0 | 3, 1 | +| 5 | 2/4, 1/2 (a tie) | 0 | 4, 1 | +| 6 | 2/5, 1/2 | 1 | 4, 2 | + +So `H(5, [2, 1]) = (4, 1)`, not the proportional 10/3 and 5/3, and `H(6, [2, 1]) = (4, 2)`: highest +averages gives a remainder to the larger weight first. + +```python +# Three parallel links of 10 share 10 units by round robin; two links weighted 2:1 share 5, then 6. +g = graph(2, [(0, 1, 10, 1)] * 3) +ledger = ngc.FlowLedger(g) +ngc.FlowPolicy(ledger, 0, 1, config(ngc.ShortestPaths())).place(10) +print("RR(10, 3):", ledger.carried().tolist()) +g = graph(2, [(0, 1, 100, 1), (0, 1, 100, 1)]) +wcmp = ngc.ShortestPaths(allocation=ngc.RouteAllocation.WEIGHTED, + weight_basis=ngc.WeightBasis.EXPLICIT, edge_weights=[2, 1]) +for x in (5, 6): + ledger = ngc.FlowLedger(g) + ngc.FlowPolicy(ledger, 0, 1, config(wcmp)).place(x) + print(f"H({x}, [2, 1]):", ledger.carried().tolist()) +``` + +```text +RR(10, 3): [4, 3, 3] +H(5, [2, 1]): [4, 1] +H(6, [2, 1]): [4, 2] +``` **Exact rules.** +- Both rules are exact: every unit goes to some member, unless every weight is 0, and then no + unit is assigned (a proportional share is undefined). A share that rounds down to zero leaves + its unit to a sibling. +- Both are monotone: when `I` grows, no member's share shrinks. +- **The local rounding bound.** For one split into `k` members, each member's absolute rounding + error, relative to that split's actual integer input and effective weights, is below `k` units + (`k * q` physically), and below one unit for equal positive weights. This is a local bound, not + an end-to-end delivery bound. +- Highest averages is not the closest proportional rounding: weights `[100, 1, 1, 1]` and 50 units + give `[50, 0, 0, 0]` (total absolute error `300/103` against the exact shares + `[5000/103, 50/103, 50/103, 50/103]`, where `[49, 1, 0, 0]` would have `200/103`). + +### The conversion exactly + - **Resolution.** A graph's resolution `q` is a power of two in `[2^-32, 2^32]`, given explicitly when the graph is built; there is no default. The resolution is the precision of every result: there is no finer grid. A model that needs finer splits uses a smaller `q`. @@ -141,28 +306,12 @@ separate kind of number: positive integers that are never converted. Cumulative counters must remain below `2^127`. A call that would reach that limit raises `ValueError(' limit exceeded')` and publishes nothing; the cumulative request is checked before computation. -- **Internal limits.** A forwarding's network numbers its positions in 32 bits: its forwarded - program entries, occurrences (every link visit of every entry: a tunnel's path length, a split - route's member links), split-route routers, LOSSY events (the links that can drop plus the - routers) and their dependency arcs, checked in that order, are each at most `2^31 - 1`; a call - beyond raises `ValueError('forwarding limit exceeded: > 2147483647')` (`` - one of `entry`, `occurrence`, `router`, `event`, `dependency`; `` the exact count). The - entry, occurrence and router limits are checked after validation and before the network is - allocated; the event and dependency limits, known only after the loads of LOSSY's first - forward (each demand's traffic stopped at its own black holes), before the - event structures are allocated. Either refusal changes nothing. A list of several demands - ([several demands at once](#several-demands-at-once)) counts its one joint network, every - participant together. Identities are - never reused: a ledger issues at most `2^63 - 1` policy identifiers and `2^63 - 1` FlowId - counters, and the process at most `2^63 - 1` identities shared by graphs, ledgers and masks (0, - the all-allowed mask's, is never issued); the next one raises `RuntimeError('policy identity - limit exceeded')`, `RuntimeError('record identity limit exceeded')` (a publication's new records - counted together, a list's included) or `RuntimeError('object identity limit exceeded')` before anything changes. - **Domain.** Every edge capacity, and the sum of all capacities, is below `2^62` units. Edge costs are integers of at least 1 and their sum is below `2^62`, so no path cost reaches the sentinel `UNREACHABLE` (the largest `int64`). An offer is an integer in `[0, 2^62)` units or positive infinity (`float('inf')`, "as much as possible"). Everything outside the domain is a - `ValueError` raised before anything changes. + `ValueError` raised before anything changes. The limits on the sizes of a call are in + [section 8](#limits-that-refuse-a-call). - **`to_units(x, q)`** reads each physical input as its binary64 value `b`: Python floats and NumPy float64 keep their exact value, float32 widens exactly, and integers become the nearest double, ties to even (`2^53 + 1` becomes `2^53`, `2^53 + 3` becomes `2^53 + 4`). It returns @@ -170,6 +319,10 @@ separate kind of number: positive integers that are never converted. A scalar or 0-d NumPy array gives an `int`; a Python sequence or 1-d NumPy array gives an `int64` array. Negative zero gives 0. NaN, infinity, negative values and results at or above `2^62` units raise `ValueError`. This is the only entry for physical numbers. +- **Ties.** The ties are exactly the accepted `b = (2*n + 1)*q/2` for integers `0 <= n < 2^52` + (at and above `2^52 * q`, `b/q` is an integer). Every tie gives `n + 1`, never the even + neighbour. At `q = 1`, `0.5` gives 1, `2.5` gives 3, `3.5` gives 4, and the last tie + `2^52 - 1/2` gives `2^52`. - **Binary values and precision.** A float is never read through its printed decimal; conversion cannot recover a source literal. `2^53` is the limit of consecutive integers among doubles, not a size below which decimal fractions are exact. A decimal is exactly a double only if @@ -185,14 +338,6 @@ separate kind of number: positive integers that are never converted. `429496730`. `CostStretch` deliberately uses the printed decimal instead: a stretch is a ratio a person writes (`1.2` means `6/5`), compared exactly with ratios of integer costs. A physical amount is the measured or computed double the caller holds. -- **Ties and exact scaling.** The ties are exactly the accepted `b = (2*n + 1)*q/2` for integers - `0 <= n < 2^52`; every tie gives `n + 1`, never the even neighbour. At `q = 1`, `0.5` - gives 1, `2.5` gives 3, `3.5` gives 4, and the last tie `2^52 - 1/2` gives `2^52`. - For `q = 2^k`, scaling `y = b*2^-k` is exact while normal; only below the normal range - (`y < 2^-1022`) may it lose bits, where the answer is 0 either way. Overflow is refused by - the `2^62` bound. Below `2^52`, `y - floor(y)` is exact and compared with `1/2`; at and - above `2^52` every double is integral, so `y` is the result. These double operations thus - introduce no error beyond the specified quantization. - **`as_float(u, q)`** returns the correctly rounded binary64 value of the exact product `u*q` (nearest, ties to even). Here `u` may be any signed, unbounded integer, unlike graph and flow amounts. An integer scalar gives a `float`, an integer vector a `float64` array. @@ -206,47 +351,35 @@ separate kind of number: positive integers that are never converted. resolution, and for larger `u` in `[0, 2^62)` exactly when `u` is a double. Otherwise the result is the units of the rounded value. The first failure, `2^53 + 1`, comes back as `2^53`; `2^62 - 1` becomes `2^62*q`, which `to_units` refuses. -- **Error and sums.** Every successful `to_units` result `u` is itself a double, so `as_float` - adds no error: `e = as_float(to_units(b, q), q) - b` satisfies `-q/2 < e <= q/2`, with - equality at the upper end exactly at ties. This bound concerns `b`. Against an argument - `a` changed by promotion (a large integer or a wider NumPy float where available), the - error is `e + (b - a)`: `2^53 + 1` at `q = 1` has error 0 against `b`, but -1 against - the original integer. There is no exact-integer path for physical inputs. - Rounding `N` values separately gives total error in `(-N*q/2, N*q/2]`. Ties contribute - `+q/2` each; other errors go either way, so a sum has no promised sign. At `q = 1`, - `[0.5, 0.5]` gives `[1, 1]` (2 units for a total of 1), while `[0.25, 0.25]` gives - `[0, 0]` (0 units for a total of 0.5). When non-tie fractional parts are symmetric about - `1/2`, their mean error cancels and mean error per value is `(q/2)*P(tie)`; a continuous - uniform fractional part has none. The Core assumes no distribution. Round a demand once, - then split whole units to preserve its total; rounding `1.0` once gives 1 unit. - Choose one `q` before graph construction and use the constructed graph's `resolution()` afterwards. Choosing - `q` and reporting rounding belong to the caller (NetGraph's units report); Core converts - and validates, without a selector or rounding report. -- **Routability.** An edge with less than 1 unit of capacity carries nothing, but it stays in - routing: searches, routes and rosters treat it like any other edge, and only a supplied - residual (below the search's threshold) or an Eligibility removes an edge from a search. An - equal split still sends such an edge its share, which it cannot carry +- **The error against `b`.** Every successful `to_units` result `u` is itself a double, so + `as_float` adds no error: `e = as_float(to_units(b, q), q) - b` satisfies `-q/2 < e <= q/2`, + with equality at the upper end exactly at ties. Against an argument `a` changed by promotion (a + large integer, or a wider NumPy float where the platform has one), the error is `e + (b - a)`: + `2^53 + 1` at `q = 1` has error 0 against `b`, but -1 against the integer passed. There is no + exact-integer path for physical inputs. +- **Sums.** Rounding `N` values separately gives a total error in `(-N*q/2, N*q/2]`. Ties + contribute `+q/2` each; other errors go either way, so a sum has no promised sign. At `q = 1`, + `[0.5, 0.5]` gives `[1, 1]` (2 units for a total of 1), while `[0.25, 0.25]` gives `[0, 0]` + (0 units for a total of 0.5). When non-tie fractional parts are symmetric about `1/2`, their + mean error cancels and the mean error per value is `(q/2)*P(tie)`; a continuous uniform + fractional part has none. The Core assumes no distribution. Round a demand once, then split + whole units to preserve its total: rounding `1.0` once gives 1 unit. +- **Choosing `q`.** Choose one `q` before graph construction and use the constructed graph's + `resolution()` afterwards. Choosing `q` and reporting rounding belong to the caller (NetGraph's + units report); the Core converts and validates, without a selector or rounding report. +- **Routability.** An edge of capacity 0 carries nothing, but it stays in routing: searches, + routes and rosters treat it like any other edge. Zero capacity alone never excludes an edge: an + Eligibility excludes it, the route choice can keep another of its parallel members + ([section 4](#the-route-choice)), and a supplied residual adds a capacity threshold. An equal + split still sends such an edge its share, which it cannot carry ([section 5](#5-route-allocations-and-admission)). A physical offer below `q / 2` converts to - 0 units. An offer of 0 units is accepted after validation and does nothing (its result is - `COMPLETE`); it is not a removal: `remove()` is. -- **Splitting units.** When a node forwards `I` units over `k` member edges: - - **round robin** (`EQUAL`): every member gets `I // k` units and the first `I % k` - members, in ascending EdgeId, get one more; - - **highest averages** (`WEIGHTED`, the D'Hondt rule): the units are handed out one at a time, - each to the member with the largest `w / (a + 1)` (its weight `w` over its current count - `a` plus one), ties to the lower EdgeId. Equal weights give round robin. - - Both rules are exact and never lose a unit: a share that rounds down to zero leaves its unit to - a sibling. Both are monotone: when `I` grows, no member's share shrinks. For one split into `k` - members, each member's absolute rounding error relative to that split's actual integer input and - effective weights is below `k` units (`k * q` physically), and below one unit for equal positive - weights. This is a local bound, not an end-to-end delivery bound, and highest averages is not - the closest proportional rounding: weights `[100, 1, 1, 1]` and 50 units give `[50, 0, 0, 0]` - (total absolute error `300/103` against the exact shares `[5000/103, 50/103, 50/103, 50/103]`, - where `[49, 1, 0, 0]` would have `200/103`). With all weights zero, no unit is assigned and a - proportional share is undefined. -- **Conservation.** At every node, inflow plus supply equals outflow plus delivery plus drops, - exactly. The ledger's totals are exactly the sums of its records. + 0 units. A `place(0)` (in a model that has `place`) is accepted after validation and does + nothing; its result is `COMPLETE`. A full zero offer (`evaluate(0)`, `replace(0)`, `forward(0)`) + is a whole computation or forwarding of nothing, and `replace(0)` publishes it + ([operations](#operations-evaluate-replace-and-forward)). Neither is a removal: `remove()` is. +- **Conservation.** At every node, the traffic that arrives plus what the node injects equals what + it sends on plus what it delivers plus what it loses there, exactly; an edge carries what it is + sent minus what it drops. The ledger's totals are exactly the sums of its records. ```python print(ngc.to_units([1.5, 2.5, 0.4, 0.5], 1.0).tolist()) # half up @@ -284,24 +417,16 @@ values in input order (explicit weights, a residual, exclusions) maps them throu without narrowing, so the reported error does not depend on how the same input is represented. - **Size.** Node ids and EdgeIds are `int32`: a graph has at most `INT32_MAX` (`2^31 - 1`) nodes and at most as many edges. The constructor accepts every graph within these bounds, and the - searches and route values work on all of them. The flow core (`CentralizedTE` routing, the - `OPTIMIZED` allocation and the evaluators that use them) numbers a solve's network in `int32` as - well: it adds a virtual - source and a virtual sink, and gives every edge and every virtual arc (one per source, one per - destination) two slots, one to add flow and one to cancel it. A solve therefore raises - `ValueError`, before the solver sizes anything and with nothing changed, on a network of more - than `INT32_MAX - 2` nodes, or with more than `2^30 - 1` edges, sources and destinations - together. A `CentralizedTE` solve counts the graph's nodes, the eligible edges, the roster - sources and the eligible destinations; a `ShortestPaths` `OPTIMIZED` solve counts the nodes of - its route's edges and endpoints, those edges, its sources and its destinations. Only graphs of - billions of nodes or about a billion edges reach these limits. + searches and route values work on all of them. A flow solve has slightly smaller limits + ([section 8](#limits-that-refuse-a-call)). - **EdgeId.** The EdgeId of an edge is its rank in the stable order `(source, cost, destination, input position)`. `input_positions()[e]` is the input position of edge `e`; the inverse map is the caller's to build (one pass over `E`). - **EdgeId order is the coordinate of every per-edge value.** Residual arrays, explicit weights, Eligibility exclusions, DAG and Path edges, flows, records, `saturated_boundary_edges`, `min_cut` - and the entries of `evaluate_edge_failures` all use EdgeIds. A caller that keeps per-edge data in input order translates it first: an - in-range id in the wrong coordinate is silently a different edge, and no check can catch that. + and the entries of `evaluate_edge_failures` all use EdgeIds. A caller that keeps per-edge data in + input order translates it first: an in-range id in the wrong coordinate is silently a different + edge, and no check can catch that. - **Layout guarantees.** The out-edges of node `u` are exactly the ids `outgoing_offsets()[u]` to `outgoing_offsets()[u + 1] - 1`, in `(cost, destination, input)` order, and `edge_destinations()[e]` is the head of `e`. The in-edges of node `v` are @@ -318,6 +443,9 @@ values in input order (explicit weights, a residual, exclusions) maps them throu the library, may renumber the edges. Every value bound to a graph (Eligibility, PredecessorDAG, Path, program, ledger, cache) is rejected with another graph. +The three edges below, sorted by (source, cost, destination), are 0 -> 1 (cost 1), 0 -> 2 (cost 5) +and 1 -> 2: EdgeIds 0, 1 and 2, from input positions 2, 1 and 0. + ```python # Input order: edge 0 = 1->2, edge 1 = 0->2 (cost 5), edge 2 = 0->1. g = ngc.Graph(3, [1, 0, 0], [2, 2, 1], [7, 8, 9], [1, 5, 1], 1.0) @@ -348,15 +476,26 @@ never changes. - `Eligibility.intersect(a, b)` allows what both allow. When the result equals one operand, that operand is returned (same uid); otherwise the result is a new value with a new uid. Both operands must belong to the same graph. -- Uids matter for the [DAG cache](#9-the-shortest-path-cache): its key contains the Eligibility uid, so - build each state once and reuse the value. +- Uids matter for the [shortest-path cache](#9-the-shortest-path-cache): its key contains the + Eligibility uid, so build each state once and reuse the value. - An excluded endpoint takes no part in a search or a policy: an excluded root or target in a set is skipped, and an excluded single endpoint gives an empty result. +Excluding node 2 of the graph above also excludes the two edges that touch it: + +```python +mask = g.eligibility(excluded_nodes=[2]) +print(mask.node_allowed().tolist(), mask.edge_allowed().tolist(), mask.uid() != 0) +``` + +```text +[True, True, False] [True, False, False] True +``` + ## 3. Route values: PredecessorDAG and Path **In plain words.** A route is either a DAG of predecessor edges (the shape a search returns: -possibly many equal-cost walks) or a `Path` (one explicit walk, each hop possibly a bundle of +possibly many equal-cost walks) or a `Path` (one explicit walk, each hop one edge or several parallel edges). Both are immutable, bound to their graph and checked once when built. **Exact rules.** @@ -391,14 +530,35 @@ parallel edges). Both are immutable, bound to their graph and checked once when the first paths of that order. `source == destination`, a DAG of another graph or `max_paths < 1` raise `ValueError`; an endpoint outside the DAG, or no walk, gives `[]`. + +Two parallel edges 0 -> 1 of costs 1 and 3 (EdgeIds 0 and 1), then 1 -> 2 (EdgeId 2). A hop that +holds both parallel edges costs its cheapest member, so the path costs 1 + 1. The same route as a +DAG lists node 1's two entries and node 2's one; listing its walks with the parallel members +split gives the cost-2 and the cost-4 path: + +```python +g = graph(3, [(0, 1, 5, 1), (0, 1, 5, 3), (1, 2, 5, 1)]) +path = ngc.Path(g, [[0, 1], [2]]) +dag = ngc.PredecessorDAG.from_csr(g, [0, 0, 2, 3], [0, 0, 1], [0, 1, 2]) +print(path.cost(), path.to_dag() == dag, dag.via_edges().tolist()) +print([(p.cost(), p.hops()) for p in ngc.resolve_to_paths(g, dag, 0, 2)], + [(p.cost(), p.hops()) for p in ngc.resolve_to_paths(g, dag, 0, 2, split_parallel_edges=True)]) +``` + +```text +2 True [0, 1, 2] +[(2, [[0, 1], [2]])] [(2, [[0], [2]]), (4, [[1], [2]])] +``` + ## 4. Search **In plain words.** `spf` finds shortest paths from a set of roots, forward or in reverse, either to every node or only to the nearest of a set of targets. It returns the shortest-path DAG, which contains every shortest route at once, or, on request, one canonical path chosen by a -fixed rule. `ksp` lists the K shortest simple paths in a fixed order. All searches see every -eligible edge, whatever its capacity: an edge of capacity 0 is a route like any other. Only a -supplied residual filters edges by capacity. +fixed rule. `ksp` lists the K shortest simple paths in a fixed order. Capacity alone never +removes an edge from a search: an eligible edge of capacity 0 is a route like any other. The route +choice can keep one of several parallel members (below), and only a supplied residual adds a +capacity threshold. ### The route choice @@ -411,10 +571,15 @@ Cost always comes first; the rest only orders equal-cost choices. then the smaller EdgeId sequence). - **Edge scores.** `HIGHER_CAPACITY` reads the static capacity; `HIGHER_AVAILABLE_CAPACITY` the availability of the current search; `HIGHER_HEADROOM` the availability divided by the static - capacity, compared exactly as a fraction (an edge of capacity 0 scores 0). The availability is - the supplied `residual` for `spf` and `ksp`, the ledger's residual for `ShortestPaths`, the - unreserved view for T1's CSPF, and the static capacity where no view is supplied (then - `HIGHER_HEADROOM` reads 1 on an edge of positive capacity and 0 on an edge of capacity 0). + capacity, compared exactly as a fraction (an edge of capacity 0 scores 0). The availability + depends on the caller: + + | Caller | Availability | + | --- | --- | + | `spf`, `ksp` with a `residual` | the supplied `residual` | + | `spf`, `ksp` without one | the static capacity (`HIGHER_HEADROOM` then reads 1 on an edge of positive capacity and 0 on an edge of capacity 0) | + | `ShortestPaths` | its service view when the program is prepared ([routing models](#routing-models)) | + | T1's CSPF | its setup view, minus the requests of the tunnels already up in the same setup ([T1](#t1-tunnels-set-up-by-their-heads)) | - **`multipath: bool`** (`ShortestPaths` and `spf` only; default `True`): `True` keeps every equal-cost route (a DAG), `False` the one canonical path. `None` is not a value. T1 always builds single-path tunnels; `ksp` always returns individual paths. @@ -442,7 +607,8 @@ Cost always comes first; the rest only orders equal-cost choices. ### Shortest paths `spf(graph, roots, SpfOptions(direction, *, targets=None, tie_break=FEWER_HOPS, multipath=True, -parallel_edges=True, residual=None, min_residual=1, eligibility=None))` returns an `SpfResult` with `costs`, `dag` and `target_cost`. +parallel_edges=True, residual=None, min_residual=1, eligibility=None))` returns an `SpfResult` with +`costs`, `dag` and `target_cost`. - **Roots and targets** are one node id or a sequence. Every root starts at distance 0. Duplicates are removed. Validated in this order before any work (`ValueError`): the roots @@ -455,9 +621,9 @@ parallel_edges=True, residual=None, min_residual=1, eligibility=None))` returns roots against the edges, but the DAG it returns keeps the edges' own orientation: its walks run from a target toward a root. A forward and a reverse search with the roles of roots and targets exchanged describe the same shortest walks. -- **Without targets** every reachable node gets its final distance: `costs` is a read-only `int64[N]` array - with `UNREACHABLE` for the nodes not reached, `dag` holds every tight edge, `target_cost` is - `None`. +- **Without targets** every reachable node gets its final distance: `costs` is a read-only + `int64[N]` array with `UNREACHABLE` for the nodes not reached, `dag` holds every tight edge, + `target_cost` is `None`. - **With targets** the search stops at the cost of the nearest targets (anycast: the nearest of a set). `target_cost` is that cost (`None` when no target is reached), `dag` keeps only the walks that end in a target at that cost, and `costs` is `None`. @@ -511,6 +677,26 @@ fewest hops: [[[1]]] costs [0, 1, 2] dag [0, 1, 2] ``` +The bottleneck is the whole walk's, not its first edge's. Below, a direct link 0 -> 2 of capacity 3 +and cost 2 (EdgeId 1) competes with 0 -> 1 -> 2, cost 1 + 1 (EdgeIds 0 and 2), whose first link has +capacity 10. With the second hop at 10, `HIGHER_CAPACITY` takes the two hops (bottleneck 10 against +3); with it at 1, the two-hop bottleneck is 1, and every rule takes the direct link: + +```python +for second in (10, 1): + g = graph(3, [(0, 1, 10, 1), (1, 2, second, 1), (0, 2, 3, 2)]) + picks = [] + for tie in (ngc.RouteTieBreak.FEWER_HOPS, ngc.RouteTieBreak.HIGHER_CAPACITY): + r = ngc.spf(g, 0, ngc.SpfOptions(F, targets=2, tie_break=tie, multipath=False)) + picks.append(r.dag.via_edges().tolist()) + print("second hop", second, picks) +``` + +```text +second hop 10 [[1], [0, 2]] +second hop 1 [[1], [1]] +``` + ### K shortest paths `ksp(graph, source, destination, KspOptions(k, *, tie_break=FEWER_HOPS, parallel_edges=True, @@ -538,13 +724,6 @@ returns a list of `(cost, Path)` pairs; every hop of every Path has one member. `KspOptions` keeps the ceiling as given; `ksp` checks it in this place. An excluded endpoint or no path gives `[]`. -Internally, each pending alternative remembers the spur index that generated it. When that -path is accepted, Lawler's partition needs searches only at that index and later ones: earlier -prefix regions already have their pending minimum. The generating index is included in the -expansion, and all preceding edges still contribute their cost, exact bottleneck and excluded -vertices. The index never enters the path key. Each spur returns the minimum whole prefixed -path under that same key, so this partition preserves the complete ordered result of full Yen. - ```python g = graph(3, [(0, 1, 3, 1), (0, 1, 5, 1), (1, 2, 9, 1)]) # parallel members 0 and 1 higher = ngc.RouteTieBreak.HIGHER_CAPACITY @@ -606,63 +785,92 @@ for factor in (1.2, Fraction(11, 10)): ## 5. Route allocations and admission -**In plain words.** A route allocation decides how one demand spreads over its routes. `OPTIMIZED` -behaves like a controller that pushes as much as the routes can carry, cheapest walks first. -`WEIGHTED` is a router splitting traffic at every node by fixed weights (WCMP). `EQUAL` is a router -splitting equally at every node (ECMP). Admission is a separate choice: `LOSSLESS` places only -what fits end to end; `LOSSY` forwards hop by hop, as routers do, and drops on each edge what does -not fit. +**In plain words.** A route allocation decides how a demand's traffic is split at every router of +its routes. `EQUAL` splits equally (ECMP); `WEIGHTED` splits by fixed integer weights (WCMP); +`OPTIMIZED` is a controller that sends as much as the routes can carry, the cheapest way. +Admission is a separate choice. `LOSSLESS` admits the largest total that the split carries with no +edge overloaded and no share left without a route, and refuses the rest before it enters. `LOSSY` +forwards the whole offer hop by hop, as routers do, and drops on each edge what does not fit. **Exact rules.** -- **Split graph.** A demand uses the part of its route (a DAG or a path) that reaches its - destination set through the edges its allocation may use (its members). `OPTIMIZED` uses the - edges with capacity in its view (the free capacity plus the policy's own allocation); `EQUAL` - uses every edge of the route, an edge of capacity 0 included: a router splits over every next - hop it has, so that edge receives its round-robin share and carries none of it (Lossless can then - admit nothing on that branch; Lossy drops the share on that edge); `WEIGHTED` uses the edges of - positive weight (below) and drops a branch left without such an edge, inside the existing route - only (it never takes a longer bypass). Lossy keeps its allocation's membership. +- **Members.** A demand uses the part of its route (a DAG or a path) that reaches its destination + set through the edges its allocation may use: its members. + - `EQUAL`: every edge of the route, an edge of capacity 0 included. A router splits over every + next hop it has, so such an edge receives its round-robin share and carries none of it + (`LOSSLESS` then admits only totals that give it nothing; `LOSSY` drops the share there). + - `WEIGHTED`: the edges of positive weight (below). A branch left without such an edge is + dropped from the route, inside the existing route only: it never takes a longer bypass. + - `OPTIMIZED`: every edge of the route, an edge of capacity 0 included, so a zero-capacity + shortest route is never bypassed; the solve can put flow only where its service view has free + capacity. + - `LOSSY` forwards over the same members as `LOSSLESS`. - **`OPTIMIZED`** solves the minimum-cost flow of the demand's cumulative amount on its route, - over the free capacity plus the policy's own current allocation. It may move the policy's own - earlier allocation (that is what lets it reach the maximum); it never moves another policy's. - It fills the cheapest walks of a mixed-cost route first. Per-edge changes between calls can be - negative. With `ShortestPaths` it solves the whole demand at once, over the union of its - sources' routes ([section 7](#routing-models)). `OPTIMIZED` is Lossless only: a controller never - drops. A solve beyond the flow core's size limit raises `ValueError` ([section 2](#2-the-graph), - Size). + over its service view (the free capacity plus the policy's own current allocation). It may move + the policy's own earlier allocation (that is what lets it reach the maximum); it never moves + another policy's. It fills the cheapest walks of a mixed-cost route first. Per-edge changes + between calls can be negative. With `ShortestPaths` it solves the whole demand at once, over the + union of its sources' routes ([section 7](#routing-models)). `OPTIMIZED` is Lossless only: a + controller never drops. A solve beyond the flow core's size limits raises `ValueError` + ([section 8](#limits-that-refuse-a-call)). - **`WEIGHTED`** splits at every node by highest averages over integer weights frozen when the - route is prepared. The **weight basis** (`WeightBasis`) says where they come from: `CAPACITY` - (the default) the member's static capacity (of the outgoing link, not of the branch behind it); - `EXPLICIT` one integer per edge in EdgeId order given as `edge_weights`, each in `[0, 2^62)`, - validated in full (a positive weight on an edge of capacity 0 becomes 0); `RESIDUAL_SNAPSHOT` the - member's free capacity, read once when the program is prepared (a policy: its view at that - call's entry, the ledger's residual plus, for `evaluate` and `replace`, the policy's own released - traffic; `from_routes` and `from_dag`: the `residual` they are given). The tie rule never - chooses weights. Weights are never renormalised; a member whose residual later shrinks limits - the demand. Equal positive weights give exactly round robin: `H(x, [w] * k) = RR(x, k)`. + route is prepared. The **weight basis** (`WeightBasis`) says where they come from: + + | `weight_basis` | A member's weight | + | --- | --- | + | `CAPACITY` (the default) | the static capacity of the outgoing link, not of the branch behind it | + | `EXPLICIT` | `edge_weights[e]`: one integer per edge in EdgeId order, each in `[0, 2^62)`, validated in full; a positive weight on an edge of capacity 0 becomes 0 | + | `RESIDUAL_SNAPSHOT` | the member's free capacity, read once when the program is prepared: for a policy, its service view at that call's entry (the ledger's residual, plus the policy's own traffic for `evaluate` and `replace`); for `from_routes` and `from_dag`, the `residual` they are given | + + The tie rule never chooses weights. Weights are never renormalised: a member whose residual + later shrinks limits the demand. Equal positive weights give exactly round robin: + `H(x, [w] * k) = RR(x, k)`. - **`EQUAL`** splits at every node by round robin over its members, which are frozen when the program is prepared. -- **Lossless filling** (`WEIGHTED`, `EQUAL`). On a fixed program, a demand's delivered amount `T` - only grows: a call raises it to the smallest of `T` plus the call's offer and `T_max`, the - largest amount whose split fits every member edge (found by exact binary search). At `T_max` at - least one member edge is exactly full; there is no safety margin. Because the split rules are - monotone, raising `T` never takes units away from an edge. +- **The lossless bound** (`EQUAL`, `WEIGHTED` and every fixed program). A total fits when its + forwarding from zero, by the program's own splits and with no drops, puts no edge above its free + capacity and leaves no share without a route (a router or source whose members all have weight + 0, a head with no usable entry). Because the split rules are monotone, raising a total never + takes units away from an edge, so the totals that fit are exactly `0` to some largest `T_max`. A + `LOSSLESS` call raises the demand's delivered amount `T` to the smaller of `T` plus the call's + offer and `T_max`. When a capacity is what stops it, that edge is exactly full at `T_max`: there + is no safety margin. A share without a route can stop it earlier, with every edge below its + capacity (the example of two sources below). - **Lossy forwarding** (`ShortestPaths` with `WEIGHTED` or `EQUAL`, T1, T2 and `Pinned`). Each call's offer is split at every node by the allocation's rule; each edge carries the smaller of what reaches it and its residual, and the rest is dropped on that edge (where several routes of - one program, or of several demands forwarded together, meet on an edge, [the loss - rule](#losses-on-shared-edges) divides what it carries). The delivery is what reaches the destination set. A share that has no edge to go on (a - `WEIGHTED` node whose members all have weight 0) is lost where it is: at a source it is a source - drop (`source_drops`). Records keep `offered`, `delivered` and per-edge `edge_drops`. Lossy calls - are independent: nothing is offered again and two calls are not equivalent to one. An infinite - Lossy offer is refused (`LOSSY forwarding requires a finite offer`) except for `ShortestPaths` - `place(float('inf'))`, the **first-hop experiment**: every source injects on each of its first - edges exactly that edge's free capacity, at once, and forwarding runs as usual. - -On a diamond with paths of capacity 10 and 2, equal-share forwarding stops at 5 units: round -robin gives the odd unit to the lower EdgeId (3 and 2), and a sixth unit would put 3 units on the -2-unit path. The weighted and optimized allocations carry 12: + one program, or of several demands forwarded together, meet on an edge, + [the loss rule](#losses-on-shared-edges) divides what it carries). The delivery is what reaches + the destination set. A share that has no edge to go on (a `WEIGHTED` node whose members all have + weight 0) is lost where it is: at a source it is a source drop (`source_drops`). Records keep + `offered`, `delivered` and per-edge `edge_drops`. Lossy calls are independent: nothing is + offered again and two calls are not equivalent to one. An infinite Lossy offer is refused + (`LOSSY forwarding requires a finite offer`) except for `ShortestPaths` `place(float('inf'))`. +- **The first-hop experiment** is that one exception. It asks how much the sources can push into + their first links at once: every source injects on each of its first edges exactly that edge's + free capacity, all at once, and forwarding then runs as usual from the next node on. The + injection is per edge, never one total split over the members: + +```python +# Two parallel links of 4 and 10. The experiment puts 4 on one and 10 on the other; an ECMP +# offer of the same 14 splits it 7 and 7 and drops 3 on the 4-unit link. +g = graph(2, [(0, 1, 4, 1), (0, 1, 10, 1)]) +lossy = config(ngc.ShortestPaths(), admission=ngc.Admission.LOSSY) +for offer in (float("inf"), 14): + r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, lossy).place(offer) + print(offer, r.offered, r.call_delivered, r.call_edge_drops, r.termination.name) +``` + +```text +inf 14 14 [] EXHAUSTED +14 14 11 [(0, 3)] COMPLETE +``` + +On a diamond with paths of capacity 10 and 2, equal-share forwarding stops at 5 units. Node 0's +members are EdgeId 0 (toward node 1, capacity 10) and EdgeId 1 (toward node 2, capacity 2). +`RR(5, 2) = (3, 2)` fits; `RR(6, 2) = (3, 3)` would put 3 units on the 2-unit path. The weighted +allocation splits by the capacities 10 and 2, and the optimized one solves the flow; both carry +12: ```python g = graph(4, [(0, 1, 10, 1), (1, 3, 10, 1), (0, 2, 2, 1), (2, 3, 2, 1)]) @@ -746,6 +954,21 @@ EQUAL 4 WEIGHTED 12 ``` +Two sources share a total equally, the first unit to source 0. Source 0's only link has capacity +0, so `WEIGHTED` gives it weight 0 and source 0's share has no route. `LOSSLESS` must give source 0 +nothing, which only the total 0 does, although source 1's link is entirely free: + +```python +g = graph(3, [(0, 2, 0, 1), (1, 2, 10, 1)]) +ledger = ngc.FlowLedger(g) +r = ngc.FlowPolicy(ledger, [0, 1], 2, config(ngc.ShortestPaths(allocation=W))).place(float("inf")) +print(r.call_delivered, r.termination.name, ledger.residual().tolist()) +``` + +```text +0 EXHAUSTED [0, 10] +``` + ## 6. The ledger **In plain words.** A `FlowLedger` holds what is placed on one graph, in two projections that are @@ -825,19 +1048,28 @@ print(ngc.FlowPolicy(ledger, 0, 1, config(ngc.ShortestPaths())).place(10).call_d 6 ``` +The tunnel holds 6 and carries 4, so the residual is 10 - 4 = 6 and the unreserved capacity +10 - 6 = 4. The second demand reads the residual alone and places 6. + ## 7. Policies -**In plain words.** A `FlowPolicy` is the routing model of one demand between a set of sources -and a set of destinations. `place(offer)` asks it to carry more; it routes and fills its flows, -commits everything at once, and reports how much was delivered, what stopped it, where traffic -was lost and how much each source carried (T1 and T2, whose tunnels are sized for a design -volume, take whole offers only). `evaluate`, `replace` and `forward` ask for a whole new offer -instead (only computed, published, or forwarded over the routes already installed). `remove()` -takes all of its traffic back out. A demand with several sources is one demand, not several: how -its traffic enters at the sources is its **source allocation**, and where the routes of its -sources meet, their traffic is added and split once. Several policies of one ledger can act in one -operation, `apply_actions`: one after another, or all at the same time with their losses shared -([several demands at once](#several-demands-at-once)). +**In plain words.** A `FlowPolicy` is one demand between a set of sources and a set of +destinations, routed by one model. `place(offer)` asks it to carry more: it computes or forwards, +commits everything at once, and reports what was delivered, what stopped it, where traffic was +lost and what each source carried. T1 and T2 size their tunnels for a design demand and take whole +offers only. `evaluate`, `replace` and `forward` work on a whole new offer: `evaluate` computes it +and publishes nothing, `replace` computes it and publishes it, `forward` sends it over the routes +already installed. `remove()` takes all of the policy's traffic back out. A demand with several +sources is one demand, not several: how its traffic enters at the sources is its **source +allocation**, and with `ShortestPaths` `EQUAL` or `WEIGHTED`, where the routes of its sources meet, +their traffic is added and split once. +Several policies of one ledger can act in one operation, `apply_actions`: one after another, or +all at the same time with their losses shared ([several demands at once](#several-demands-at-once)). + +The subsections follow a demand's life: its configuration, its roster and source allocation, the +routing models (T1 and T2 in detail), the programs they produce, the losses where traffic meets, +the calls and what they report, several demands at once, and last the +[configuration and call errors](#configuration-and-call-errors). ### Configuration @@ -864,22 +1096,12 @@ built from one model read one `edge_weights` array). | `CentralizedTE(source_allocation=...)` | an ideal controller that sees the whole network, or only the edges of `support`; with `tunnel_count`, T2: the controller lays out equal tunnels for every head ([T2](#t2-the-controllers-equal-tunnels)) | `source_allocation` (required); `source_weights`: one integer per graph node, required exactly for `WEIGHTED` without tunnels; `support`: a `PredecessorDAG` of the graph, or `None` for every eligible edge; `tunnel_count`: a `TunnelCount(N)` or `TunnelCount(L, up_to=True)`, or `None`; `prefer_headroom`: T2's headroom objective after route cost | | `Pinned(program)` | forwarding over a given program, computing nothing | `program`: a `ForwardingProgram`; `black_holes`: an `Eligibility` whose excluded nodes and edges are black holes, or `None` | -**Two stages of validation.** A constructor converts its arguments: an unknown keyword (also every -field that belongs to another model, such as `allocation` on `FlowPolicyConfig` or -`source_allocation` on `DistributedTE`), a missing required argument (`routing`, `tunnel_count`, -`CentralizedTE`'s `source_allocation`, `program`), `None` where none is allowed, and a value of the -wrong type raise `TypeError` before any policy exists. A bool field (and a bool search option) -takes only a `bool` or a `numpy.bool_`, known by its type (`multipath=None`, `multipath=1` and an -object with `__bool__` are `TypeError`). An integer field of a configuration value (`TunnelCount` -`per_head`, `AbsoluteCost` `cost`, `min_unreserved_bandwidth`, a `RouteDefinition`'s `head` and -`weight`) given a value of another type raises `TypeError` (`TunnelCount per_head must be an -integer (got bool)`), and so does an `edge_weights` that is not a 1-D sequence of integers (a -scalar, a string, a 2-D array, a bool or float array, a bool or float entry: -`edge_weights[0] must be an integer (got bool)`); an integer outside 64 bits raises -`ValueError` (`TunnelCount per_head = is out of range [...]`), and an `edge_weights` entry -beyond 64 bits `ValueError('edge_weights[] must be an integer in [0, 2^62)')`. Every other -check of a well-typed configuration raises `ValueError` when a policy or an evaluator uses it, in -the order below, before any work, a zero offer included. +**Two stages of validation.** A constructor converts its arguments. A wrong type, a missing +required argument, `None` where none is allowed and an unknown keyword (an option of another model +included, such as `allocation` on `FlowPolicyConfig`) raise `TypeError` before any policy exists. +Every other check of a well-typed configuration raises `ValueError` when a policy or an evaluator +uses it, before any work, a zero offer included. The texts and their order are in +[configuration and call errors](#configuration-and-call-errors). **The model matrix.** The options belong to each row's model; any other well-typed combination raises `ValueError`: @@ -891,67 +1113,35 @@ raises `ValueError`: | `ShortestPaths(allocation=OPTIMIZED)` | `OPTIMIZED` | `OPTIMIZED` / `EQUAL`, `OPTIMIZED` | `LOSSLESS` | the same | none | | `CentralizedTE(source_allocation=...)`, optionally `support` | optimal | required / EQUAL, OPTIMIZED, WEIGHTED | `LOSSLESS` | none | `source_weights` exactly with WEIGHTED | | T1: `DistributedTE(TunnelCount(N))` | tunnels | `EQUAL`, fixed | `LOSSLESS`, `LOSSY` | `tie_break`, `parallel_edges` | none | -| T2: `CentralizedTE(source_allocation=..., tunnel_count=...)`, optionally `support` | tunnels | required; `EQUAL`; `OPTIMIZED` only with one source | `LOSSLESS`, `LOSSY` | none (`prefer_headroom`) | none | +| T2: `CentralizedTE(source_allocation=..., tunnel_count=...)`, optionally `support` | tunnels | required; `EQUAL`; `OPTIMIZED` only with one source; never `WEIGHTED` | `LOSSLESS`, `LOSSY` | none (`prefer_headroom`) | none | | `Pinned(program)` | the program's | the program's | `LOSSLESS`, `LOSSY` | none | none | `ShortestPaths`' `source_allocation=None` resolves to the allocation's default and its `weight_basis=None` to `CAPACITY` for `WEIGHTED`; a policy's `config` is the configuration it was -built with, these two fields resolved (the model value itself never changes). The texts of the -matrix, in the order they are checked: - -1. the enumeration values (`admission`, then the model's `allocation`, `source_allocation`, - `weight_basis`, `tie_break`), each `: is not a value of ` (reachable with a - value built from an integer); -2. the route allocation and the source allocation: first `source_allocation=WEIGHTED requires - CentralizedTE without tunnel_count`; then `ShortestPaths with EQUAL or WEIGHTED requires - source_allocation=EQUAL`; for T2, `CentralizedTE with tunnel_count and several sources requires - source_allocation=EQUAL` (`OPTIMIZED` with more than one input source, counted after removing - repeats and before any Eligibility; with one source it is the same calculation as `EQUAL`); -3. the admission: `ShortestPaths OPTIMIZED requires admission=LOSSLESS`; `CentralizedTE without - tunnel_count requires admission=LOSSLESS`; -4. the route choice: `ShortestPaths tie_break requires multipath=False or parallel_edges=False` (a - `HIGHER_*` rule with every route and every parallel edge kept, also for `OPTIMIZED`, whose route - the rule selects); then the **pooled single-path rule**: `ShortestPaths with multiple input - sources requires tie_break=FEWER_HOPS when multipath=False` (more than one input source, counted - after removing repeats and before any Eligibility: a bottleneck choice could differ per source - at a router the sources share); -5. `prefer_headroom requires tunnel_count`; -6. the weights: `weight_basis requires allocation=WEIGHTED`; `weight_basis=EXPLICIT requires - edge_weights`; `edge_weights require weight_basis=EXPLICIT`; for CentralizedTE, - `source_allocation=WEIGHTED requires source_weights` and `source_weights require source_allocation=WEIGHTED`; -7. last, a cache given to a model that does not read one: ` does not use ShortestPathCache` (only `ShortestPaths` reads a `ShortestPathCache`). - -Then each model's own fields: the tunnel count in `[1, 10000]` (`tunnel count must be in [1, -10000]`; `TunnelCount(per_head)` itself takes any 64-bit integer); for T1 an "up to" count -(`DistributedTE requires an exact tunnel count`), then the ceiling (`cost_ceiling AbsoluteCost -cost must be >= 0 (got )`, `cost_ceiling CostStretch factor must be >= 1 (got /)`), then -`min_unreserved_bandwidth must be an integer in [0, 2^62)`; `edge_weights`' length and entries -(`edge_weights: expected entries`, `edge_weights[] must be an integer in [0, 2^62)`). +built with, these two fields resolved (the model value itself never changes). `FlowPolicy(ledger, sources, destinations, config, eligibility=None, cache=None)` binds the policy to its ledger. `sources` and `destinations` are one node id or a sequence; the two sets must not -overlap. Construction validates everything before the policy binds, and when several defects -meet, the first in this order is reported: the endpoint sets (empty, out of range, the lowest node -in both); the graph of each object the policy is given: the `Eligibility` (`foreign Eligibility: -built for another graph`), the program (`program belongs to another graph`), the support -(`support belongs to another graph`, with or without a tunnel count, an empty support included), -the `ShortestPathCache` (`foreign ShortestPathCache: bound to another graph`), the black holes -(`black_holes belongs to another graph`); the matrix and the models' fields above; the tunnel limit -(T1, T2: the roster's heads times the tunnel count, for "up to" the largest count, is at most -2^30 - 1: `tunnel limit exceeded: heads x tunnels > 1073741823`; no tunnel is made at -construction); `Pinned`'s endpoints (`program endpoints do not match policy endpoints`; any number -of each). - -`source_weights` uses the same conversion as `edge_weights`: first the entire shape (rank and -nested sequences), then every integer type, then signed-int64 storage overflow. Thus `[1.5,[1]]` -reports the second entry's shape, and `[2**64,1.5]` reports the second entry's type. Ordinary -sequences such as range and tuples are accepted; unsigned arrays do not bypass overflow checks. -Policy/evaluator validation checks the graph node count (`source_weights: expected entries`), -then every entry in NodeId order (`source_weights[] must be an integer in [0, 2^62)`) after the -model/cache checks, even at zero offer. Each individual weight is bounded; their sum may exceed -64 bits. Cumulative Pinned LOSSY increments use exact wide apportionment through the existing -counter domain below 2^127, preserving declared proportions after many offers. +overlap. Construction validates everything before the policy binds. + +### The source roster + +The roster is the set of sources that take part: they receive shares of the traffic. It is fixed +when the policy is built. + +- For `ShortestPaths`, T1, T2 and `CentralizedTE` it is the allowed sources that have a static walk + to an allowed destination over allowed edges, whatever their capacity, in ascending node id. A + source whose only routes cross an edge of capacity 0 is in the roster, receives its share and + cannot place it; a failure is expressed with an Eligibility, which removes the source. + `CentralizedTE` with a support counts only walks inside the support. +- For `Pinned` it is the program's heads that still reach a destination under the policy's + Eligibility ([replay](#replay-under-a-failure)). +- The roster decides which sources receive shares. For the computing models it also decides which + records exist (T1 and T2: its heads' entries); `Pinned` keeps one record per configured program + entry even when no head survives the replay (such a record stays at zero). +- `by_source` reports every input source, a source outside the roster with a zero row. +- A positive offer with an empty roster ends `NO_ROUTE`: a computing model creates no record, and + `Pinned` creates or keeps its per-entry records at zero. ### The source allocation @@ -966,489 +1156,143 @@ it is routed: - **`OPTIMIZED`** (controllers only): the controller chooses how much enters at each source (one virtual source joined to every roster source), whatever maximises the delivery and then minimises its cost. +- **`WEIGHTED`** (`CentralizedTE` without `tunnel_count` only): a total `x` enters as the + highest-averages shares `H(x, w)`, `w` being the declared `source_weights` of the roster sources + in node id order. `source_weights` is one integer per graph node in `[0, 2^62)`, copied once and + exposed as an immutable tuple; every entry is validated, unused and masked nodes included, but + only the roster's weights are read. A zero weight receives nothing; when every roster weight is + 0 nothing enters, with no equal fallback ([termination](#termination)). The other source + allocations refuse the vector, and `ShortestPaths` and every tunnel configuration refuse + `WEIGHTED`. -- **`WEIGHTED`** (`CentralizedTE` without `tunnel_count` only): each roster source injects its - highest-averages share `H(x, w)` of the total. `source_weights` is required: one integer per graph - node in `[0, 2^62)`, copied once and exposed as an immutable tuple. Every entry is validated, - including unused and masked nodes, but only roster weights participate. Zero weights receive - nothing; all-zero roster weights give no injection, with no equal fallback. Other source - allocations refuse this vector; ShortestPaths and every tunnel configuration refuse WEIGHTED. `DistributedTE` always allocates equally and `Pinned` takes its program's injection; neither accepts the keyword. -### The source roster +Source 0 below reaches node 3 over one link of 2, and source 1 over two links of 10 (costs 1 and +2). Equal shares stop at 4: source 0 can take only 2, so source 1 gets 2 as well, at a cost of +2 x 1 + 2 x 3 = 8. The optimized controller sends 2 from source 0 and 10 from source 1, at a cost +of 2 + 30 = 32. Weights 1, 1 and 2 over three private links of 4 give `H(8, [1, 1, 2]) = +[2, 2, 4]`; a ninth unit would go to the third source, beyond its 4: + +```python +S = ngc.SourceAllocation +g = graph(4, [(0, 3, 2, 1), (1, 2, 10, 1), (2, 3, 10, 2)]) +for sa in (S.EQUAL, S.OPTIMIZED): + r = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, config(ngc.CentralizedTE(source_allocation=sa))).place(12) + print(sa.name, r.call_delivered, r.total_cost, [(row.source, row.delivered) for row in r.by_source]) +g = graph(4, [(0, 3, 4, 1), (1, 3, 4, 1), (2, 3, 4, 1)]) +weighted = ngc.CentralizedTE(source_allocation=S.WEIGHTED, source_weights=[1, 1, 2, 0]) +r = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1, 2], 3, config(weighted)).place(float("inf")) +print("WEIGHTED", r.call_delivered, [(row.source, row.delivered) for row in r.by_source]) +``` -The roster is fixed when the policy is built. For `ShortestPaths`, T1, T2 and `CentralizedTE` it -is the allowed sources that have a static walk to an allowed destination over allowed edges, -whatever their capacity, in ascending node id: a source whose only routes cross an edge of -capacity 0 is in the roster, receives its share and cannot place it (a failure is expressed with -an Eligibility, which removes the source); `CentralizedTE` with a support counts only walks inside -the support. For `Pinned` it is the program's heads that still reach a destination under the -policy's Eligibility ([replay](#replay-under-a-failure)). The roster decides which sources receive shares; for the -computing models it also decides which records exist (T1 and T2: its heads' entries), while `Pinned` -keeps one record per configured program entry even when no head survives the replay (such a -record stays at zero). `by_source` -reports every input source, a source outside the roster with a zero row. A positive offer with -an empty roster ends `NO_ROUTE`: a computing model creates nothing, and `Pinned` creates or keeps its -per-entry records at zero. +```text +EQUAL 4 8 [(0, 2), (1, 2)] +OPTIMIZED 12 32 [(0, 2), (1, 10)] +WEIGHTED 8 [(0, 2), (1, 2), (2, 4)] +``` ### Routing models -- **`ShortestPaths` with `EQUAL` or `WEIGHTED`** forwards like IGP routers. At the epoch's - first positive call it prepares a **program**, the routes and splits used for the whole epoch: - each roster source's route is its static shortest-path DAG toward the destination set (with - `multipath=False`, its canonical path), read from the [shortest-path cache](#9-the-shortest-path-cache), - with the route choice applied on the ledger's residual at that call's entry (the - `HIGHER_AVAILABLE_CAPACITY` and `HIGHER_HEADROOM` scores read that residual); `WEIGHTED` freezes - its weights from its weight basis there ([section 5](#5-route-allocations-and-admission)). The - program is built by the one pooled DAG builder that - [`ForwardingProgram.from_dag`](#supplied-dags-from_dag) uses, from the union of these selected - routes: at a router several sources pass, their traffic for the demand is added (with the - router's own injection when it is a source) and split once over its members, by round robin - (`EQUAL`) or by highest averages over the weights (`WEIGHTED`). Every source that passes a - router has the same continuation there, so the union lends no source a link outside its own - route. A roster of one source with `multipath=True` and a static weight basis (not - `RESIDUAL_SNAPSHOT`) takes a one-pass preparation instead, which selects the route and builds its - split in the same pass; its plan is the one the pooled builder makes of that route, so the - program is the same. The program is never refreshed or recomputed within the epoch. It is the - policy's `program`: one split context pooled over the roster, one split route per roster source - (entry identifier = roster position, weight 1), equal sources; it lists no tunnel. With - `FEWER_HOPS` or `HIGHER_CAPACITY` and `EQUAL`, `CAPACITY` or `EXPLICIT` weights, a preparation - reads nothing that changes while the policy lives, so the policy keeps the program it first - published and uses it again at each later epoch's preparation: routes, order, costs and splits - equal a fresh preparation. Each policy keeps only its own program, until it is destroyed; - nothing is added to the cache or its statistics. `evaluate` uses a kept program but never keeps - one. `HIGHER_AVAILABLE_CAPACITY`, `HIGHER_HEADROOM` and `RESIDUAL_SNAPSHOT` prepare afresh at - every epoch. +**When a model computes.** A positive `place` prepares the program of an epoch that has none yet. +Every `evaluate` and every `replace`, a zero offer included, computes a whole offer afresh; only +`replace` installs what it computed. `place(0)` prepares nothing. + +- **`ShortestPaths` with `EQUAL` or `WEIGHTED`** forwards like IGP routers. Its program holds the + routes and splits used for the whole epoch, never refreshed within it: + - each roster source's route is its static shortest-path DAG toward the destination set (with + `multipath=False`, its canonical path), read from the + [shortest-path cache](#9-the-shortest-path-cache); + - the route choice is applied on the policy's service view when the program is prepared (the + `HIGHER_AVAILABLE_CAPACITY` and `HIGHER_HEADROOM` scores read it), and `WEIGHTED` freezes its + weights from its weight basis there ([section 5](#5-route-allocations-and-admission)); + - the program is the union of these selected routes, built exactly as + [`ForwardingProgram.from_dag`](#supplied-dags-from_dag) builds one: at a router several + sources pass, their traffic for the demand is added (with the router's own injection when it + is a source) and split once over its members, by round robin (`EQUAL`) or by highest averages + over the weights (`WEIGHTED`). Every source that passes a router has the same continuation + there, so the union lends no source a link outside its own route; + - it is the policy's `program`: one split context pooled over the roster, one split route per + roster source (entry identifier = roster position, weight 1), equal sources; it lists no + tunnel. + + Each epoch prepares on that epoch's view. With `FEWER_HOPS` or `HIGHER_CAPACITY` and `EQUAL`, + `CAPACITY` or `EXPLICIT` weights nothing a preparation reads changes while the policy lives, so + every epoch gets the program a fresh preparation gives; `HIGHER_AVAILABLE_CAPACITY`, + `HIGHER_HEADROOM` and `RESIDUAL_SNAPSHOT` read the view of each preparation. - **`ShortestPaths` with `OPTIMIZED`** is a controller restricted to shortest paths: it solves like `CentralizedTE` (below), but only over the union of the roster sources' routes prepared as above, edges of capacity 0 included (so a zero-capacity shortest route is never bypassed). -- **`DistributedTE` (T1)** sets up its tunnels for a design volume on every `replace` and +- **`DistributedTE` (T1)** sets up its tunnels for a design demand on every `replace` and `evaluate` and forwards them as its program; it has no incremental `place` ([T1](#t1-tunnels-set-up-by-their-heads)). -- **`CentralizedTE(tunnel_count=...)` (T2)** lays out its tunnels for a design volume on every +- **`CentralizedTE(tunnel_count=...)` (T2)** lays out its tunnels for a design demand on every `replace` and `evaluate` and forwards them as its program; it has no incremental `place` ([T2](#t2-the-controllers-equal-tunnels)). The controller rules below are `CentralizedTE`'s without a tunnel count. -- **`CentralizedTE`** re-solves, on every positive call, the minimum-cost flow of the amount the - policy already delivers plus this call's offer (`delivered()` plus the offer; what an earlier - call could not place is not offered again) from its roster to its whole destination set over - every eligible edge, on the free capacity plus its own allocation (it may move its own traffic, - never another owner's): the largest delivery up to that amount, and among those the cheapest. - Hence `place(a)` followed by `place(b)` ends in the same allocation as `place(a + b)` on an - unchanged network. With `EQUAL` source allocation the virtual source's arc to roster source `i` - carries exactly `RR(T, k, i)`: the delivered total `T` is the largest whose equal shares all fit - (found by exact binary search over the totals; a total fits only when the solve reaches it), and - that total is solved from zero, so the result does not depend on the search. WEIGHTED uses - `H(T, w)` instead of round robin in the same exact search: every root arc must be saturated, - then minimum cost is chosen. Each share is nondecreasing in T, so feasible totals form a prefix. - Its maximum is not an unrestricted minimum-cut certificate: `min_cut` and - `marginal_cost_curve` are None. A - positive call on a network beyond the flow core's size limit raises `ValueError` - ([section 2](#2-the-graph), Size). +- **`CentralizedTE`** solves the minimum-cost flow from its roster to its whole destination set + over every eligible edge, on its service view: it may move its own traffic, never another + owner's. The result is the largest delivery up to the target, and among those the cheapest. The + target depends on the call: + - a positive `place` re-solves the amount the policy already delivers plus this call's offer + (`delivered()` plus the offer: what an earlier call could not place is not offered again). With + the rest of the network unchanged, `place(a)` followed by `place(b)` therefore ends in the same + allocation as `place(a + b)`; + - `evaluate` and `replace` solve their whole offer afresh, a zero offer included; + - `forward` solves nothing: it sends its offer over the installed paths by their weights. + - For the same target total and service view, the final solve from zero fixes the allocation; + the search for the largest total that fits does not affect it. + - With `EQUAL` source allocation the virtual source's arc to roster source `i` carries exactly + `RR(T, k, i)`: the delivered total `T` is the largest whose equal shares all fit (a total fits + only when the solve reaches it). With `WEIGHTED` the shares are `H(T, w)`, and every source + must send exactly its share. Each share grows with `T`, so the totals that fit are 0 to a + largest one. + - With `EQUAL` or `WEIGHTED` sources the result has no `min_cut` and no `marginal_cost_curve`: + a flow with prescribed shares is not the unrestricted maximum a cut certifies, and the + marginal costs of an equal flow need not increase. + - A positive call on a network beyond the flow core's size limits raises `ValueError` + ([section 8](#limits-that-refuse-a-call)). - **`CentralizedTE(support=dag)`** is the same controller restricted to the edges of `dag`, trimmed to the walks from the sources to the allowed destinations inside it (an edge that leads nowhere inside the support is never used; a mask removes its edges as usual). It reports `total_cost` but neither `marginal_cost_curve` nor `min_cut`, and `evaluate_edge_failures` solves each deletion afresh. -- **The controllers' programs.** After every positive call a controller decomposes its solved - flow into paths, each roster source's share in a canonical order (for each source in node id - order, walk the smallest positive EdgeId to the first destination, take the bottleneck or the - remaining supply, subtract, repeat), one tunnel per path with its solved amount as weight - (identifiers in decomposition order), also with a single source. With the `OPTIMIZED` source - allocation the program keeps the solved supplies as **captured source weights** - (`source_weights`: every roster source, a zero supply included). With `WEIGHTED` it instead - keeps each roster source's declared weight, zeros included; with `EQUAL` it injects by - round robin. Forwarded on the same view, the program reproduces the solve exactly. +- **The controllers' programs.** After every solve (a positive `place`, an `evaluate`, a `replace`) + a controller decomposes its solved flow into paths, each roster source's share in a canonical + order (for each source in node id order, walk the smallest positive EdgeId to the first + destination, take the bottleneck or the remaining supply, subtract, repeat), one tunnel per path + with its solved amount as weight (identifiers in decomposition order), also with a single source. + With the `OPTIMIZED` source allocation the program keeps the solved supplies as **captured source + weights** (`source_weights`: every roster source, a zero supply included). With `WEIGHTED` it + instead keeps each roster source's declared weight, zeros included; with `EQUAL` it injects by + round robin. Forwarded on the same service view, the program reproduces the solve exactly. - **Records of the controllers** (`CentralizedTE`, `ShortestPaths` with `OPTIMIZED`): one record per roster source, holding that source's share of the solved flow (its edges and its delivery), extracted in a canonical order. A `CentralizedTE` record's route is the set of edges that carry - the share, rebuilt on every positive call under the same FlowId; a source with no share has an - empty route and `min_route_cost` `None`. A `ShortestPaths` `OPTIMIZED` record's route is its + the share, rebuilt on every positive `place` under the same FlowId (a `replace` or a `forward` + publishes new records with new ids); a source with no share has an empty route and + `min_route_cost` `None`. A `ShortestPaths` `OPTIMIZED` record's route is its source's prepared route, and the share stays inside it. - **`Pinned`** forwards its program as given, computing nothing: injection, entries, weights and split tables are the program's, replayed under the policy's Eligibility and with its black holes ([forwarding programs](#forwarding-programs)). It keeps one record per program entry - (`entry_id` is the entry's identifier), created at the epoch's first positive call, a record of - weight 0 or of a `FAILED` tunnel included (that one with an empty route and `min_route_cost` - `None`). A positive offer with an empty replay roster ends `NO_ROUTE`. - -### Several sources and destinations - -- **Destinations** (`ShortestPaths`): a route goes to the nearest destinations, and one flow may - deliver to several of them at that cost (a T1 tunnel is one path, to the allowed destination its - CSPF reaches first). A record's `delivered` is its total; the - delivery to one destination is the sum of the record's `edge_flows` entering it. -- **`ShortestPaths` split routing pools its sources.** Each record (one per roster source) holds the - part of the program's traffic that is that source's. At every router the members' amounts are - given back to the sources member by member, in member order, by highest averages over what each - source still holds there; on an edge that drops traffic (Lossy), what the edge carries is - divided by highest averages over what each source brought to it. Highest averages `H(x, w)` - gives `x` units one at a time to the member with the largest `w[i] / (assigned[i] + 1)`, ties to - the earlier member; a zero weight gets nothing. So the records sum exactly to the totals, and a - source's record uses only edges of its own route. -- **The controllers** (`CentralizedTE`, `ShortestPaths` with `OPTIMIZED`) optimise the whole - roster and destination set together; `CentralizedTE` may use a costlier destination to carry - more. -- **T1 and T2 heads** share the design and the offer by round robin over the roster in ascending - node id; a head's share goes only to its own tunnels, and what one head cannot carry is lost at - that head, never moved to another. -- **`Pinned`** follows its program: its injection over the replay roster, then each head's entries. - -Two sources with one unit each meet at node 2, whose two members lead to the destination. Pooled, -node 2 splits the two units once, one per member, and gives one member to each source; split -separately, each source would send its unit to the first member: - -```python -# Edges 0: 0 -> 2, 1: 1 -> 2, then the two members 2: 2 -> 3 and 3: 2 -> 3. -g = graph(4, [(0, 2, 5, 1), (1, 2, 5, 1), (2, 3, 1, 1), (2, 3, 1, 1)]) -pol = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, config(ngc.ShortestPaths())) -r = pol.place(2) -print(r.call_delivered, r.termination.name, [(row.source, row.delivered) for row in r.by_source]) -print([(rec.sources, rec.edge_flows) for rec in pol.records()]) -``` - -```text -2 COMPLETE [(0, 1), (1, 1)] -[([0], [(0, 1), (2, 1)]), ([1], [(1, 1), (3, 1)])] -``` - -### Equal source allocation and a source that cannot pass anything - -A roster source whose every route crosses an edge with no free capacity stays in the roster: it -receives its share and loses it. Lossless admits only totals that give it nothing, which is the -number of roster sources before it, because the first remainder units go to the lowest node ids: -0 when it is the first source. This holds in every model. Lossy loses its share where its program -puts it: on the edge that limits it (`edge_drops`), or at the source when it has no member to send -it on (`source_drops`). An Eligibility that excludes the source or the edge removes it from the -roster instead. - -```python -# Source 0 reaches node 2 only over the 0-unit edge 0; source 1 over the 10-unit edge 1. -g = graph(3, [(0, 2, 0, 1), (1, 2, 10, 1)]) -equal = ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.EQUAL)) -optimized = ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.OPTIMIZED)) -for name, cfg in (("ShortestPaths", config(ngc.ShortestPaths())), - ("CentralizedTE EQUAL", equal), - ("CentralizedTE OPTIMIZED", optimized)): - r = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, cfg).place(10) - print(name, r.call_delivered, r.termination.name) -lossy = config(ngc.ShortestPaths(), admission=ngc.Admission.LOSSY) -r = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, lossy).place(10) -print("LOSSY", r.call_delivered, r.call_edge_drops, [(row.source, row.total_edge_drops) for row in r.by_source]) -r = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, config(ngc.ShortestPaths()), - g.eligibility(excluded_nodes=[0])).place(10) -print("source 0 excluded", r.call_delivered) -``` - -```text -ShortestPaths 0 EXHAUSTED -CentralizedTE EQUAL 0 EXHAUSTED -CentralizedTE OPTIMIZED 10 COMPLETE -LOSSY 5 [(0, 5)] [(0, 5), (1, 0)] -source 0 excluded 10 -``` + (`entry_id` is the entry's identifier), created when the epoch's program is first forwarded (a + positive `place`, or any `replace`), a record of weight 0 or of a `FAILED` tunnel included (that + one with an empty route and `min_route_cost` `None`). A positive offer with an empty replay + roster ends `NO_ROUTE`. -### Forwarding programs +### T1: tunnels set up by their heads -**In plain words.** A program is what a routing decided, written down: which routes each source -uses and in which integer proportions. Every computing model produces one (`policy.program`, -`result.program`). `Pinned(program)` forwards a program without computing anything: to replay a -solution on another ledger, to study a failure (the routers drop the failed routes and split over -the survivors) or to study the moment before anyone reacts (the failed elements swallow what -reaches them). `ForwardingProgram.from_routes` builds a program from routes you give, each its own -entry; `ForwardingProgram.from_dag` builds one shared hop-by-hop program on a DAG you give, its -sources pooled exactly as `ShortestPaths` pools them. - -**Exact rules.** - -- **The value.** A `ForwardingProgram` is immutable and shared by reference: `sources` and - `destinations` (the normalised input sets), `tunnels` (the tunnel entries in ascending - `entry_id`; split routes are not listed) and `source_weights` (`None` for equal sources). A - `Tunnel` has `entry_id`, `head`, `local_index` (its position among its head's entries of both - kinds), `destination`, `edges` (in path order), `path_cost` (these three `None` for a tunnel - T1's setup left down), `status` (`UP`, or a down tunnel's `INSUFFICIENT_BANDWIDTH` or - `COST_CEILING_EXCEEDED`), `requested_bandwidth` and `reserved_bandwidth` (T1's request and what - it holds on every edge of its path: the request when up, else 0; 0 for the other producers), - `planned_bandwidth` (T2's planned bandwidth u, never held; 0 for the other producers) and - `weight`. It has no public constructor. -- **What a program shows.** A program can be replayed without exporting its tables. The public - value does not expose per-router effective weights, the split tables or a reachable-source list - (its `sources` are the normalised input sources); a split program may have no tunnels while it - carries traffic. Records and `OutputOptions` give the carried and dropped amounts per edge. -- **Injection.** A total `x` enters at the roster (the heads with an entry; for T1 and T2 the - policy's roster, a head without an up tunnel or without any tunnel included) either by round - robin (**equal sources**) or by highest averages over the captured source weights; each head - then splits its share by highest averages over its entries' weights (equal weights give round - robin). A head whose entries all have weight 0 loses its share at the source. Identical routes - are never merged: each entry takes its own share. `ShortestPaths` split routing, `from_dag`, T1, - T2, equal controllers and supplied routes use equal sources; optimized controllers use their - solved supplies. -- **Entry identifiers.** Every entry has an integer `entry_id` that identifies it within one - program (not across recomputations): T1 and T2 tunnels are numbered `j * H + i` (round `j`, - roster position `i`, `H` heads; T2's dead heads leave holes); controller paths are numbered in - decomposition order; a `ShortestPaths` split program and a `from_dag` program number their routes - by roster position; supplied routes keep their position in the `routes` list (a split route uses - its position too, so tunnel identifiers can skip it). Records (`FlowRecord.entry_id`) and - `by_tunnel` rows (`TunnelFlow.entry_id`) use the same identifier. -- **Split contexts.** A split route given to `from_routes` is its own context: its routers split - only that route's share, even where another split route reaches the same router with the same - members. A `ShortestPaths` program and a `from_dag` program pool all their sources in one - context. -- **`ForwardingProgram.from_routes(graph, sources, destinations, routes, *, allocation=None, - weight_basis=None, edge_weights=None, residual=None)`** with `RouteDefinition(head, route, *, - weight=1)` (`route` a `Path` with one edge per hop, a tunnel, or a `PredecessorDAG`, a split - route). Order and duplicates are kept; the roster is the sources with a route. `allocation` is - the interior split of the `PredecessorDAG` routes, `EQUAL` (`None`) or `WEIGHTED`, whose weights - `weight_basis`, `edge_weights` and `residual` choose as in - [section 5](#5-route-allocations-and-admission) (`residual` is the free capacity - `RESIDUAL_SNAPSHOT` reads; it has no default). A split route keeps the edges of its DAG on the - walks from its head to a destination. The first failure, in this order, raises `ValueError`: - the endpoint sets; `routes must not be empty`; when no route is a `PredecessorDAG`, any option - given (` applies only to PredecessorDAG - routes`); `OPTIMIZED` (`from_routes allocation must be EQUAL or WEIGHTED`); the weights' - combination (`weight_basis requires allocation=WEIGHTED`, `weight_basis=EXPLICIT requires - edge_weights`, `edge_weights require weight_basis=EXPLICIT`, `weight_basis=RESIDUAL_SNAPSHOT - requires residual`, `residual requires weight_basis=RESIDUAL_SNAPSHOT`); `edge_weights`' length - and entries, `residual`'s (the ledger's baseline messages); then each route in list order: - `routes[]: route belongs to another graph`, `routes[]: head is not a source`, for a - `Path` `routes[]: a tunnel has one edge per hop`, `routes[]: the path starts at , not at - head `, `routes[]: the path ends at , not at a destination`, `routes[]: the path - meets destination before its end`, for a `PredecessorDAG` `routes[]: no walk from head - to a destination`, then `routes[]: weight must be an integer in [0, 2^62)`. A route of - weight 0 is validated in full and carries nothing. -- **The lossless bound.** A Lossless call forwards each entry's share without drops, adds the - loads per edge and admits the largest total that leaves no share without a route and puts no - edge above its free capacity (exact bisection: the totals that fit form a prefix). - -#### Supplied DAGs: from_dag - -`ForwardingProgram.from_dag(graph, sources, destinations, dag, *, allocation=None, -weight_basis=None, edge_weights=None, residual=None)` builds one shared hop-by-hop program on a -`PredecessorDAG` of the graph, trimmed to the walks from each source to its first destinations. -It is the mechanism `ShortestPaths` `EQUAL`/`WEIGHTED` uses for its own routes (one builder): -sources are allocated equally and pooled at every shared router with exactly the same splitting -and attribution, in one split context. `allocation` is `EQUAL` (`None`) or `WEIGHTED`; the weights -and the snapshot follow [section 5](#5-route-allocations-and-admission), and `RESIDUAL_SNAPSHOT` -needs an explicit `residual`. The roster is the sources that reach a destination in the DAG, -ignoring capacity and weights; an empty roster is allowed (an empty program). There is one split -route per roster source, identified by roster position, and no tunnel; a `Pinned` policy keeps one -record per route, attributed to its source. A replay rebuilds the roster on the DAG and keeps the -pooled context; stale forwarding keeps the tables and the roster. The first failure, in this -order, raises `ValueError`: the endpoint sets; `dag belongs to another graph`; the allocation -(`from_dag allocation must be EQUAL or WEIGHTED`) and the weights' combination as for -`from_routes`; `edge_weights`' and `residual`'s lengths and entries. A `dag` of another type is a -`TypeError` (`dag must be a PredecessorDAG (got )`). - -Two sources whose routes meet at node 2, which has two links of 1 to the destination. `from_dag` -pools the two arrivals and splits them once, one per link; two separate split routes of -`from_routes` each send their unit to the first link: - -```python -g = graph(4, [(0, 2, 10, 1), (1, 2, 10, 1), (2, 3, 1, 1), (2, 3, 1, 1)]) -dag = ngc.PredecessorDAG.from_csr(g, [0, 0, 0, 2, 4], [0, 1, 2, 2], [0, 1, 2, 3]) -pooled = ngc.ForwardingProgram.from_dag(g, [0, 1], 3, dag) -separate = ngc.ForwardingProgram.from_routes(g, [0, 1], 3, [ngc.RouteDefinition(0, dag), ngc.RouteDefinition(1, dag)]) -for name, prog in (("from_dag", pooled), ("from_routes", separate)): - cfg = ngc.FlowPolicyConfig(routing=ngc.Pinned(prog)) - print(name, prog.tunnels, ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, cfg).place(float("inf")).call_delivered) -sp = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, config(ngc.ShortestPaths())).place(float("inf")) -print("ShortestPaths", sp.call_delivered) -``` - -```text -from_dag () 2 -from_routes () 1 -ShortestPaths 2 -``` - -#### Replay under a failure - -A `Pinned` policy's Eligibility is the failure being studied (local repair): - -- A tunnel that touches an excluded node or edge is `FAILED` and gets nothing; replay never - computes a replacement path. A tunnel T1's setup left down stays down with its status: replay - never brings one up. -- A split route loses its excluded members and the branches left without a destination; members - of capacity 0 stay (`EQUAL` still sends them their share). -- The roster is rebuilt from the program's **basis**, ignoring capacities and weights: for an - unrestricted `CentralizedTE`, T1 and T2 without a support the topology under the producing - policy's exclusions; for `ShortestPaths`, `from_dag`, a supported `CentralizedTE` (with or - without a tunnel count) and supplied routes the original routes or support; each together with - the policy's exclusions. A head that no longer reaches a destination leaves the pool (equal sources: its - share moves to the others); a head that still reaches one but has no surviving entry keeps its - share and loses it. Captured source weights keep the remaining heads' saved weights; when all of - them are 0, a positive offer is lost at the sources. The call ends NO_ACTIVE_WEIGHT when the - program has an entry with a path. A program without one (an all-zero WEIGHTED program) ends - COMPLETE under LOSSY, with the offer in demand-level `source_drops` and every per-source row - zero; under LOSSLESS it admits nothing and ends EXHAUSTED. -- An edge whose capacity is now 0 is not a failure: its traffic is lost on that edge, the tunnel - stays `UP`. Weights stay as the program froze them. - -#### Stale forwarding: black holes - -`Pinned(program, black_holes=e)` and `forward(offer, black_holes=e)` forward the program unchanged -while the nodes and edges `e` excludes swallow what reaches them (`None`, or an all-allowed value, -means none). Nothing is pruned, re-split or reweighted: every router keeps its members and -weights and applies the program's whole-unit rule to the traffic that actually arrives. A -black-holed edge carries nothing (all that arrives is dropped there); a black-holed node acts the -same on every edge entering it; a black-holed source loses its own share as a source drop. Lossy -drops what reaches a black hole where it arrives: it takes no part in sharing an edge (the loss -rule below) and makes no edge wait, and the traffic behind it can carry nothing. Lossless admits -only totals that put nothing on a black hole (a black-holed edge serves 0). A tunnel that is up but whose path reaches a black hole is `BLACKHOLED` in -`by_tunnel`, its traffic dropped at the first black hole on its path. The policy's Eligibility -applies first: an element both excluded and black-holed is excluded. A down tunnel keeps its -setup status. A program forwarded by `Pinned` books no hold, whatever its producer. - -```python -# Two parallel edges of 4 and 8: the duplicate tunnel takes its own share. -g = graph(2, [(0, 1, 4, 1), (0, 1, 8, 1)]) -def tunnel(g, head, edges, weight=1): - return ngc.RouteDefinition(head, ngc.Path(g, [[e] for e in edges]), weight=weight) -def pinned(program, admission=ngc.Admission.LOSSLESS, black_holes=None): - return ngc.FlowPolicyConfig(routing=ngc.Pinned(program, black_holes=black_holes), - admission=admission) -for routes in ([tunnel(g, 0, [0]), tunnel(g, 0, [1]), tunnel(g, 0, [1])], - [tunnel(g, 0, [0]), tunnel(g, 0, [1])]): - prog = ngc.ForwardingProgram.from_routes(g, 0, 1, routes) - r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, pinned(prog)).place(float("inf")) - print(r.call_delivered, [(t.entry_id, t.assigned) for t in r.by_tunnel]) - -# Two tunnels 0 -> 1 -> 3 and 0 -> 2 -> 3, every edge 10: node 2 fails. -g = graph(4, [(0, 1, 10, 1), (0, 2, 10, 1), (1, 3, 10, 1), (2, 3, 10, 1)]) -prog = ngc.ForwardingProgram.from_routes(g, 0, 3, [tunnel(g, 0, [0, 2]), tunnel(g, 0, [1, 3])]) -down = g.eligibility(excluded_nodes=[2]) -lossy = pinned(prog, ngc.Admission.LOSSY) -r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, lossy, down).replace(10) -print("repair", r.call_delivered, [(t.status.name, t.assigned) for t in r.by_tunnel]) -r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, pinned(prog, ngc.Admission.LOSSY, down)).replace(10) -print("stale", r.call_delivered, r.call_edge_drops, [(t.status.name, t.assigned) for t in r.by_tunnel]) -print("stale lossless", ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, pinned(prog, black_holes=down)) - .place(float("inf")).call_delivered) -``` - -```text -12 [(0, 4), (1, 4), (2, 4)] -8 [(0, 4), (1, 4)] -repair 10 [('UP', 10), ('FAILED', 0)] -stale 5 [(1, 5)] [('UP', 5), ('BLACKHOLED', 5)] -stale lossless 1 -``` - -The repaired head sends all 10 over its surviving tunnel. Stale, node 0 still splits 5 and 5 and -the second tunnel's 5 are dropped on edge 1, the edge entering node 2; Lossless admits 1 unit (2 -units would put one on the black hole). - -A program of a controller replays its solve; under a mask its failed tunnel's share moves to the -head's surviving tunnel: - -```python -g = graph(4, [(0, 1, 2, 1), (0, 2, 10, 1), (1, 3, 2, 1), (2, 3, 10, 1)]) -solved = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.OPTIMIZED))) -prog = solved.replace(12).program -print([(t.entry_id, list(t.edges), t.weight) for t in prog.tunnels], prog.source_weights) -r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, pinned(prog, ngc.Admission.LOSSY), - g.eligibility(excluded_edges=[2])).replace(12) -print(r.call_delivered, r.call_edge_drops, [(t.status.name, t.assigned, t.delivered) for t in r.by_tunnel]) -``` - -```text -[(0, [0, 2], 2), (1, [1, 3], 10)] ((0, 12),) -10 [(1, 2)] [('FAILED', 0, 0), ('UP', 12, 10)] -``` - -The first tunnel is `FAILED`; the head's 12 go to its other tunnel by its weight 10 alone, which -carries 10 and drops 2 on edge 1. - -#### Failure studies - -A failure has three states, all built from these primitives: **stale forwarding** (no router has -reacted yet: the black holes above), **local repair** (the routers drop the failed routes and split -over the survivors: the mask of a `Pinned` policy) and **converged routing** (a new computation on -the failed network: a new policy with that mask). Save the baseline program before the failure. -`evaluate_edge_failures` recomputes or repairs under each deletion -([section 10](#10-evaluators)); it never turns a deletion into a black hole, so a stale study of -every link is a loop over `Pinned(base, black_holes=...)`. A failure never changes the graph or -another policy's mask; on a shared ledger, the old owner is removed or replaced before its -replacement is modelled, since a new policy is a different demand that does not release the old -one's traffic or holds. - -### Losses on shared edges - -Where traffic meets on an edge that cannot carry it all (Lossy), the edge carries `T = min(free -capacity, sum of arrivals)` and divides it by highest averages, level by level: first over the -demands by what each demand's traffic brings (one program is one demand; in a SIMULTANEOUS list -each policy is a demand, ties to the one created first), then within a demand over its heads, then -within a head over its entries by their arrivals. Each part continues with its share; the rest is -dropped on that edge. A pooled `ShortestPaths` demand (several sources whose routes meet) splits -its total once at each router, and each member's amount is shared among the sources by highest -averages over what each source still brings. Every demand is evaluated at once: forwarded first -with no edge shared and its traffic dropped only at its own black holes, an edge whose load fits -can never drop and waits for nothing; every other shared edge waits for all its possible arrivals, -and the edges are evaluated in dependency order (the order of independent edges does not change -the result). Traffic that can carry nothing in that first forward (a share of 0, a split member -whose whole-unit share is 0, traffic behind its own demand's black hole) takes no part: it loads -no edge there, makes no edge wait and never keeps two edges in series from passing traffic through -as one, so adding a demand that can carry nothing never changes another demand's result, error or -round count. Splitting an edge into two in series with the same capacity changes nothing (a black -hole on it becomes one on its first part, or on both). Traffic that reaches its own demand's black -hole is dropped there and takes no part in the sharing. - -When edges wait on each other in a cycle (one tunnel meets edge X before Y, another Y before X, -and both can drop; the tunnels may belong to different demands), only that group is recalculated, round by round, from nothing carried, until -a round gives back exactly what went in; the answer is checked independently against the rule -before anything is published. A group that alternates between two states raises -`ValueError("lossy forwarding iteration entered a period-2 cycle")`; one that does not settle -within 64 rounds per waiting edge raises `ValueError("lossy forwarding iteration did not reach a -fixed point within the round limit")`; a failed check, an implementation fault, raises -`RuntimeError("lossy forwarding fixed-point verification failed")`. Each error publishes nothing -and does not claim that no answer exists. - -```python -# Two tunnels of one head share the second edge of 2 on tunnel 0 only. -g = graph(4, [(0, 1, 10, 1), (0, 2, 10, 1), (1, 3, 2, 1), (2, 3, 10, 1)]) -prog = ngc.ForwardingProgram.from_routes(g, 0, 3, [tunnel(g, 0, [0, 2]), tunnel(g, 0, [1, 3])]) -r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, pinned(prog, ngc.Admission.LOSSY)).place(12) -print(r.call_delivered, r.call_edge_drops, [(t.assigned, t.delivered, t.total_edge_drops) for t in r.by_tunnel]) - -# One edge of 9 shared by two tunnels of weights 2 and 1: the offer splits 8 and 4, the edge 6 and 3. -g = graph(2, [(0, 1, 9, 1)]) -prog = ngc.ForwardingProgram.from_routes(g, 0, 1, [tunnel(g, 0, [0], 2), tunnel(g, 0, [0], 1)]) -r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, pinned(prog, ngc.Admission.LOSSY)).place(12) -print(r.call_delivered, [(t.assigned, t.delivered, t.total_edge_drops) for t in r.by_tunnel]) - -# Two tunnels cross edges X (e0, 1 unit) and Y (e3, 2 units) in opposite orders, weights 1 and 2. -g = graph(6, [(0, 1, 1, 1), (1, 2, 1000, 1), (1, 5, 1000, 1), (2, 3, 2, 1), (3, 0, 1000, 1), - (3, 5, 1000, 1), (4, 0, 1000, 1), (4, 2, 1000, 1)]) -prog = ngc.ForwardingProgram.from_routes( - g, 4, 5, [tunnel(g, 4, [6, 0, 1, 3, 5], 1), tunnel(g, 4, [7, 3, 4, 0, 2], 2)]) -try: - ngc.FlowPolicy(ngc.FlowLedger(g), 4, 5, pinned(prog, ngc.Admission.LOSSY)).place(3) -except ValueError as error: - print(error) -``` - -```text -8 [(2, 4)] [(6, 2, 4), (6, 6, 0)] -9 [(8, 6, 2), (4, 3, 1)] -lossy forwarding iteration entered a period-2 cycle -``` - -In the first program the second edge of 2 on tunnel 0 drops 4 of its 6. In the cycle, the rounds -from zero alternate between two states, so the call raises and publishes nothing. - -### T1: tunnels set up by their heads - -**In plain words.** `DistributedTE(TunnelCount(N))` models distributed RSVP-TE: there is no -controller, and each head (a roster source) sets up its own N tunnels. A design volume D is split -equally over the heads and each head's share equally over its N tunnels; each tunnel asks for -that bandwidth. One tunnel at a time, in rounds over the heads, the head keeps the links with -enough unreserved bandwidth and takes the shortest path: the tunnel comes up and holds exactly its -request on every link of its path, or it stays down and holds nothing. Real traffic then enters -equally at the heads and splits equally over each head's tunnels that are up; a head with no -tunnel up loses its share, and no one moves it elsewhere. Holds are the ledger's second -projection ([section 6](#6-the-ledger)): they decide which tunnels come up, never what traffic -gets through. +**In plain words.** `DistributedTE(TunnelCount(N))` models distributed RSVP-TE: there is no +controller, and each head (a roster source) sets up its own N tunnels. A design demand D is split +equally over the heads and each head's share equally over its N tunnels; each tunnel asks for +that bandwidth. One tunnel at a time, in rounds over the heads, the head keeps the links with +enough unreserved bandwidth and takes the shortest path: the tunnel comes up and holds exactly its +request on every link of its path, or it stays down and holds nothing. Real traffic then enters +equally at the heads and splits equally over each head's tunnels that are up; a head with no +tunnel up loses its share, and no one moves it elsewhere. Holds are the ledger's second +projection ([section 6](#6-the-ledger)): they decide which tunnels come up, never what traffic +gets through. **Exact rules.** @@ -1515,7 +1359,8 @@ gets through. nothing. - **The plan.** `result.plan` is a `TunnelPlan` of the program after the call: `tunnels_per_head` (N), `design_demand` (D), `design_by_head` (`(head, RR(D, H, i))` for every - roster head) and `total_reserved_bandwidth` (the up tunnels' requests, each counted once). + roster head) and `total_reserved_bandwidth` (the up tunnels' requests, each counted once). The + plan describes the setup that installed the tunnels; `forward` keeps it unchanged. T2 also returns a `TunnelPlan`, with the fields described below; all other routings, including `Pinned` over a T1 program, return `None`. @@ -1549,22 +1394,77 @@ its tunnels are down. Head 1's two tunnels come up on edge 1 and hold 6 of its 1 enters as 6 and 6: head 0 loses its 6, head 1's tunnels carry 3 and 3. `forward(8)` keeps the tunnels and the holds; head 0 still loses its share, now 4. +The cost ceiling's stretch baseline is one for the whole pool of heads. Below, head 0 reaches node +2 only over a link of capacity 0 and cost 1, head 1 over a link of 8 and cost 3; each head's share +of the design 4 is 2. Head 0's tunnel finds no link with 2 units unreserved. The baseline is the +smallest static shortest cost over all heads, 1 (head 0's zero-capacity route), so +`CostStretch(2)` admits a cost of at most 2 and refuses head 1's path of cost 3; an absolute +ceiling of 3 admits it: + +```python +g = graph(3, [(0, 2, 0, 1), (1, 2, 8, 3)]) +for ceiling in (ngc.CostStretch(2), ngc.AbsoluteCost(3)): + t1 = ngc.FlowPolicyConfig(routing=ngc.DistributedTE(ngc.TunnelCount(1), cost_ceiling=ceiling), + admission=ngc.Admission.LOSSY) + r = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, t1).replace(4, design_demand=4) + print(repr(ceiling), [t.status.name for t in r.program.tunnels], r.call_delivered) +``` + +```text +CostStretch(Fraction(2, 1)) ['INSUFFICIENT_BANDWIDTH', 'COST_CEILING_EXCEEDED'] 0 +AbsoluteCost(3) ['INSUFFICIENT_BANDWIDTH', 'UP'] 2 +``` + ### T2: the controller's equal tunnels **In plain words.** `CentralizedTE(source_allocation=..., tunnel_count=TunnelCount(N))` models a central controller (a PCE or an SDN controller) that programs, for every head, the same number of -single-path tunnels, all planned with one common whole-unit bandwidth. It first makes that common -bandwidth as large as possible, then (for a finite design volume) no larger than needed, then -picks the cheapest routes, then (with `prefer_headroom=True`) the routes that leave the most spare -capacity, and finally breaks any remaining tie by one fixed unit-by-unit procedure. Real traffic -then splits equally over the heads and over each head's tunnels; whole-unit remainders may use -room beyond the plan. A planned bandwidth is metadata: the ledger holds nothing for it. -`TunnelCount(L, up_to=True)` gives every head one common count `k <= L`: the smallest whose -program carries the live heads' design shares; if none does, the largest live-share score, then -the smallest count. It does not promise whole-demand lossless delivery. A head that cannot reach a destination over free capacity is dead: it keeps -its share and loses it; a weak but live head limits the common size of every tunnel, by design -(heads that must not limit each other are separate demands). A `support` DAG restricts every step -to its edges. +single-path tunnels, all planned with one common whole-unit bandwidth. The controller chooses, in +this order: + +1. the largest common bandwidth; +2. for a finite design demand, no larger than the design needs; +3. the cheapest routes; +4. with `prefer_headroom=True`, the routes that leave the most spare capacity; +5. one fixed unit-by-unit procedure for any remaining tie. + +Real traffic then splits equally over the heads and over each head's tunnels. A tunnel carries +what forwarding gives it wherever the links have room, more than its planned bandwidth included. +A planned bandwidth is metadata: the ledger holds nothing for it. `TunnelCount(L, up_to=True)` +gives every head one common count `k <= L`: the smallest whose program carries the live heads' +design shares; if none does, the largest live-share score, then the smallest count. It does not +promise whole-demand lossless delivery. A head that cannot reach a destination over free capacity +is dead: it keeps its share and loses it. A weak but live head limits the common size of every +tunnel, by design (heads that must not limit each other are separate demands). A `support` DAG +restricts every step to its edges. + +The sizing on one head with four tunnels and two branches, of capacity 4 and 10: + +```python +g = graph(4, [(0, 1, 4, 1), (0, 2, 10, 1), (1, 3, 4, 1), (2, 3, 10, 1)]) +four = ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.EQUAL, + tunnel_count=ngc.TunnelCount(4)), + admission=ngc.Admission.LOSSY) +r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, four).replace(16) +p = r.plan +print(p.max_fractional_bandwidth_per_tunnel, p.max_bandwidth_per_tunnel, p.total_planned_bandwidth, + p.max_lossless_offer) +print([t.edges for t in r.program.tunnels], [row.assigned for row in r.by_tunnel], r.call_delivered, + r.call_edge_drops) +``` + +```text +10/3 3 12 14 +[(0, 2), (1, 3), (1, 3), (1, 3)] [4, 4, 4, 4] 14 [(1, 2)] +``` + +With `j` of the 4 tunnels on the narrow branch, the common size is at most `4 / j` there and +`10 / (4 - j)` on the wide branch: 5/2, 10/3, 2, 4/3 and 1 for `j` = 0 to 4. The best is 10/3, +with one tunnel on the narrow branch and three on the wide one, and the largest whole-unit size +is `U = 3`; the plan is 4 x 3 = 12. The lossless bound `F` is 14: `RR(14, 4) = (4, 4, 3, 3)` gives +the narrow tunnel 4 and the three wide ones 10 together, while `RR(15, 4)` would put 11 on the +wide branch. The offer 16 gives every tunnel 4, more than its plan of 3: the narrow branch carries +its 4, and the wide branch carries 10 of its 12 and drops 2. **Exact rules.** @@ -1592,17 +1492,20 @@ to its edges. `total_planned_bandwidth` is `K * u`. Once U >= 1, every live head keeps all k tunnels even when its share is below k units, including a design of 0 (the tunnels are planned at 1 and carry what forwarding gives them). -- **Routes.** At u, among the count vectors `x` (the tunnels on each link) that route `k` tunnels - per live head with `x[e] <= min(K, floor(V[e] / u))`: first the smallest route-cost sum `J = - sum of cost[e] * x[e]` (`total_tunnel_cost`; idle tunnels count); then, with - `prefer_headroom=True`, the smallest `headroom_penalty`: each link with static capacity `B > 0` - charges its `j`-th tunnel `floor(2^32 * (B - V + j * u) / B)` (the occupied fraction of the - link, rounded down to 2^-32); then the canonical augmentation: `K` single units from zero, each - on the residual path from the root to the sink of the smallest `(J, Phi)` price, then the fewest - arcs, then the smallest sequence of arc keys (`(0, EdgeId, direction)` for links, `(1, head, - direction)` for root arcs, `(2, destination, direction)` for sink arcs; forward 0, reverse 1); a - reverse arc undoes an earlier unit. Without `prefer_headroom` the second price is 0. `J` and - `Phi` are exact Python integers and can exceed 64 bits. +- **Routes.** At u, the count vectors `x` (the tunnels on each link) that route `k` tunnels per + live head with `x[e] <= min(K, floor(V[e] / u))` are compared in three steps: + 1. the smallest route-cost sum `J = sum of cost[e] * x[e]` (`total_tunnel_cost`; idle tunnels + count); + 2. with `prefer_headroom=True`, the smallest `headroom_penalty` `Phi`: each link with static + capacity `B > 0` charges its `j`-th tunnel `floor(2^32 * (B - V + j * u) / B)`, the fraction + of the link then occupied, rounded down to 2^-32; + 3. the canonical augmentation: `K` single units from zero, each on the residual path from the + root to the sink of the smallest `(J, Phi)` price, then the fewest arcs, then the smallest + sequence of arc keys (`(0, EdgeId, direction)` for links, `(1, head, direction)` for root + arcs, `(2, destination, direction)` for sink arcs; forward 0, reverse 1); a reverse arc + undoes an earlier unit. Without `prefer_headroom` the second price is 0. + + `J` and `Phi` are exact Python integers and can exceed 64 bits. - **The program.** `x` is cut, live head by live head in ascending node id, into unit walks along the smallest positive EdgeId to a destination; each head's `k` walks are sorted by EdgeId sequence (duplicates are separate tunnels). The tunnels are in round order: local index `j`, @@ -1628,9 +1531,9 @@ to its edges. plan before assuming `len(tunnels) == N * H`. - **Forwarding** is the program's: a total `x` enters as `RR(x, H, i)` over the whole roster, then round robin over the head's `k` tunnels in local order; a dead head's share is lost. - `max_lossless_offer` F is the program's lossless maximum on the call's view (a dead head's share - blocks every total that gives it a unit: F is then 0 or a few remainder units). With `u = U` and - every head live, `0 <= F - K * U < K`. + `max_lossless_offer` F is the program's lossless maximum on the view it was planned on (a dead + head's share blocks every total that gives it a unit: F is then 0 or a few remainder units). + With `u = U` and every head live, `0 <= F - K * U < K`. - **Configuration.** `source_allocation` is stated: `EQUAL` with any number of heads; `OPTIMIZED` only with one input source, the same calculation (`CentralizedTE with tunnel_count and several sources requires source_allocation=EQUAL`, counted before any Eligibility). `prefer_headroom` @@ -1639,12 +1542,13 @@ to its edges. Admission `LOSSLESS` or `LOSSY`. No path-cost ceiling. The tunnel count and the tunnel limit as for T1 (`L` counts for "up to"). - **Operations.** No `place` (`CentralizedTE with tunnel_count does not support incremental - placement`, `place(0)` too). `replace(offer, design_demand=D)` releases the policy's own - traffic, lays the tunnels out again for D and forwards; `design_demand=None` means `D = offer`, - and `float('inf')` (or an infinite Lossless offer) is an unlimited design. `evaluate` computes - the same and publishes nothing; `forward(offer)` forwards the installed program and keeps its - plan. A planned size change over the same routes sets no flag. T2 reports no `total_cost`, - `min_cut` or `marginal_cost_curve`. + placement`, `place(0)` too). `replace(offer, design_demand=D)` releases the policy's own traffic, + lays the tunnels out again for D and forwards; `design_demand=None` means `D = offer`, and + `float('inf')` (or an infinite Lossless offer) is an unlimited design. `evaluate` computes the + same and publishes nothing; `forward(offer)` forwards the installed program and keeps its plan + unchanged: its bounds and headroom values still describe the planning view, not the new offer, + load or black holes. A planned size change over the same routes sets no flag. T2 reports no + `total_cost`, `min_cut` or `marginal_cost_curve`. - **Records and rows.** One record per tunnel in identifier order (a dead head has no entry and no record). - **The plan.** `tunnels_per_head`, `design_demand`, `design_by_head` (empty for an unlimited @@ -1653,115 +1557,645 @@ to its edges. `planned_bandwidth_per_tunnel`, `total_planned_bandwidth`, `total_tunnel_cost`, `headroom_penalty` (`None` without `prefer_headroom`) and `max_lossless_offer`. With no live head every amount is 0 (`tunnels_per_head` is N, or 1 for "up to"). A plan is metadata of the - computation, neither the installed program nor its delivery. + computation that installed the tunnels, neither the installed program nor its delivery. + +Two heads behind private links of 3 and 8 to node 2, two tunnels each, design 6: + +```python +g = graph(3, [(0, 2, 3, 1), (1, 2, 8, 1)]) +two = ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.EQUAL, + tunnel_count=ngc.TunnelCount(2))) +r = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, two).replace(6) +p = r.plan +print(p.max_fractional_bandwidth_per_tunnel, p.max_bandwidth_per_tunnel, p.planned_bandwidth_per_tunnel, + p.max_lossless_offer) +print([(t.entry_id, t.head, t.local_index) for t in r.program.tunnels], r.call_delivered) +``` + +```text +3/2 1 1 6 +[(0, 0, 0), (1, 1, 0), (2, 0, 1), (3, 1, 1)] 6 +``` + +Head 0's two tunnels share its link of 3, so the common size is at most 3/2 (head 1 alone would +allow 4): `s* = 3/2` and `U = 1`. The design 6 gives each head 3, so `u = min(1, ceil(3/2)) = 1`. +The tunnels are numbered in rounds: identifiers 0 and 1 are the two heads' first tunnels, 2 and 3 +their second ones. `F = 6`: a total of 6 gives head 0 the 3 its link carries; 7 would give it 4. + +A T2 call at a finer resolution: two branches from node 0 to node 3 of 2 and 10 (at q = 2^-12: 8192 +and 40960 units), 16 tunnels, `prefer_headroom=True`, then the same program replayed with the 2-unit +branch's second link down: + +```python +q = 2.0 ** -12 +g = ngc.Graph(4, edge_sources=[0, 0, 1, 2], edge_destinations=[1, 2, 3, 3], edge_capacity_units=ngc.to_units([2, 10, 2, 10], q), + edge_costs=[1, 1, 1, 1], resolution=q) +te16 = ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.EQUAL, + tunnel_count=ngc.TunnelCount(16), prefer_headroom=True), + admission=ngc.Admission.LOSSY) +pol = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, te16) +r = pol.replace(49152) +p = r.plan +print(p.max_bandwidth_per_tunnel, p.planned_bandwidth_per_tunnel, p.max_fractional_bandwidth_per_tunnel, p.max_lossless_offer, r.call_delivered) +print(p.total_planned_bandwidth, p.total_tunnel_cost, p.headroom_penalty, p.heads_with_capacity, p.insufficient_resolution) +print([t.edges for t in r.program.tunnels][:3], [t.planned_bandwidth for t in r.program.tunnels][:3]) +fail = g.eligibility(excluded_edges=[2]) +replay = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, + ngc.FlowPolicyConfig(routing=ngc.Pinned(pol.program), admission=ngc.Admission.LOSSY), + eligibility=fail) +s = replay.replace(49152) +print([t.status.name for t in s.by_tunnel][:3], s.call_delivered) +``` + +```text +2925 2925 20480/7 46812 47104 +46800 32 73610035200 (0,) False +[(0, 2), (0, 2), (1, 3)] [2925, 2925, 2925] +['FAILED', 'FAILED', 'UP'] 40960 +``` + +With 2 tunnels on the 8192-unit branch and 14 on the 40960-unit one, the wide branch limits the +common size to 40960/14 = 20480/7; the narrow branch would allow 4096. The whole-unit size is 2925, +and the plan is 16 x 2925 = 46800. The lossless bound is 46812 = 16 x 2925 + 12: twelve tunnels +take one unit more, and the wide branch still carries exactly 40960. The offer 49152 gives every +tunnel 3072, more than its plan: the narrow branch carries its 6144, and the wide branch is +offered 43008, carries 40960 and drops 2048, so 6144 + 40960 = 47104 arrive. In the replay the two +tunnels on the failed branch are `FAILED` and the head splits its whole share over the other 14. + +A dead head, a head too weak for one unit per tunnel, and "up to": + +```python +lossy_t2 = lambda tunnel_count: ngc.FlowPolicyConfig( + routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.EQUAL, tunnel_count=tunnel_count), + admission=ngc.Admission.LOSSY) +dead = graph(3, [(0, 2, 0, 1), (1, 2, 10, 1)]) +r = ngc.FlowPolicy(ngc.FlowLedger(dead), [0, 1], 2, lossy_t2(ngc.TunnelCount(2))).replace(10) +print(r.plan.heads_with_capacity, [t.entry_id for t in r.program.tunnels], r.plan.planned_bandwidth_per_tunnel, r.call_delivered, r.call_source_drops) +tiny = graph(3, [(0, 2, 1, 1), (1, 2, 100, 1)]) +r = ngc.FlowPolicy(ngc.FlowLedger(tiny), [0, 1], 2, lossy_t2(ngc.TunnelCount(16))).replace(200) +print(r.plan.insufficient_resolution, r.plan.max_fractional_bandwidth_per_tunnel, r.program.tunnels, r.call_source_drops) +r = ngc.FlowPolicy(ngc.FlowLedger(tiny), [0, 1], 2, lossy_t2(ngc.TunnelCount(3, up_to=True))).replace(200) +print(r.plan.tunnels_per_head, [t.edges for t in r.program.tunnels], r.call_delivered) +``` + +```text +(1,) [1, 3] 3 5 5 +True 1/16 () 200 +1 [(0,), (1,)] 101 +``` + +Head 0's only link has no free capacity: it is dead, keeps its share of 5 and loses it, and its +positions 0 and 2 are holes. Behind links of 1 and 100, 16 tunnels per head fit no whole unit +(`s*` = 1/16): the program has no tunnels and the whole offer is lost at the heads. Up to 3, one +tunnel per head fits a unit; it carries 1 of head 0's 100 and all of head 1's. + +"Up to" compares the counts by what their programs carry of the design. Head 0 below reaches node +2 over one link of 6, head 1 over two parallel links of 3, and the design is 12. With one tunnel +per head, head 1's tunnel takes one link of 3, so the equal shares fit up to 7 (4 and 3), below the +design. With two, head 0's tunnels share its 6 and head 1's take one link each, so 12 fits, and +"up to 2" chooses 2: + +```python +g = graph(3, [(0, 2, 6, 1), (1, 2, 3, 1), (1, 2, 3, 1)]) +for limit in (1, 2): + up_to = ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.EQUAL, + tunnel_count=ngc.TunnelCount(limit, up_to=True))) + r = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, up_to).replace(12) + print(limit, r.plan.tunnels_per_head, r.call_delivered) +``` + +```text +1 1 7 +2 2 12 +``` + +The headroom objective on two equal-cost parallel links of 10, two tunnels for a design of 2: + +```python +par = graph(2, [(0, 1, 10, 1), (0, 1, 10, 1)]) +for on in (False, True): + cfg = ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.EQUAL, + tunnel_count=ngc.TunnelCount(2), prefer_headroom=on), + admission=ngc.Admission.LOSSY) + r = ngc.FlowPolicy(ngc.FlowLedger(par), 0, 1, cfg).replace(12, design_demand=2) + print(on, [t.edges for t in r.program.tunnels], r.plan.headroom_penalty, r.plan.max_lossless_offer, r.call_delivered) +``` + +```text +False [(0,), (0,)] None 10 10 +True [(0,), (1,)] 858993458 20 12 +``` + +Both plans size the tunnels at 1 unit (U = 10). Without the objective the cost tie goes to the +smallest keys: both tunnels on link 0, which then bounds forwarding at 10. With it, a second slot +on link 0 would pay `floor(2^32 * 2 / 10)` against `floor(2^32 / 10)` on link 1, so the tunnels +spread and the program forwards 20. + +T2 on a support: three parallel links from node 0 to node 1 of (capacity, cost) (6, 1), (6, 1) and +(100, 2); the support holds the first two. The cheap pair carries one tunnel each and the third +link is never used; with the second link masked, both tunnels share the first: + +```python +sup = graph(2, [(0, 1, 6, 1), (0, 1, 6, 1), (0, 1, 100, 2)]) +support = ngc.PredecessorDAG.from_csr(sup, [0, 0, 2], [0, 0], [0, 1]) +on_support = ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.EQUAL, support=support, + tunnel_count=ngc.TunnelCount(2)) +for mask in (None, sup.eligibility(excluded_edges=[1])): + pol = ngc.FlowPolicy(ngc.FlowLedger(sup), 0, 1, ngc.FlowPolicyConfig(routing=on_support), mask) + r = pol.replace(float("inf")) + print(r.plan.max_bandwidth_per_tunnel, [t.edges for t in r.program.tunnels], r.plan.max_lossless_offer) +``` + +```text +6 [(0,), (1,)] 12 +3 [(0,), (0,)] 6 +``` + +The plan describes the view it was computed on. Below, T2 plans its two tunnels on one link of 10 +for an unlimited design while it carries nothing yet; another demand then takes 8 of the link. +`forward(10)` delivers what the link still has, 2, and returns the installed plan unchanged: + +```python +g = graph(2, [(0, 1, 10, 1)]) +ledger = ngc.FlowLedger(g) +t2 = ngc.FlowPolicy(ledger, 0, 1, ngc.FlowPolicyConfig(routing=ngc.CentralizedTE( + source_allocation=ngc.SourceAllocation.EQUAL, tunnel_count=ngc.TunnelCount(2)))) +print(t2.replace(0, design_demand=float("inf")).plan.max_lossless_offer) +ngc.FlowPolicy(ledger, 0, 1, config(ngc.ShortestPaths())).place(8) +r = t2.forward(10) +print(r.call_delivered, r.plan.max_lossless_offer) +``` + +```text +10 +2 10 +``` + +### Several sources and destinations + +- **A route ends at the first destination it reaches.** A walk that meets a destination stops + there and never passes through it toward another destination. Passing through another source of + the same demand is allowed and adds no traffic. +- **Destinations** (`ShortestPaths`): a route goes to the nearest destinations, and one record may + deliver to several of them at that cost (a T1 tunnel is one path, to the allowed destination its + CSPF reaches first). A record's `delivered` is its total; the delivery to one destination is the + sum of the record's `edge_flows` entering it. +- **`ShortestPaths` split routing pools its sources.** Each record (one per roster source) holds the + part of the program's traffic that is that source's. At every router the members' amounts are + given back to the sources member by member, in member order, by highest averages over what each + source still holds there; on an edge that drops traffic (Lossy), what the edge carries is + divided by highest averages over what each source brought to it + ([splitting whole units](#splitting-whole-units)). So the records sum exactly to the totals, and + a source's record uses only edges of its own route. +- **The controllers** (`CentralizedTE`, `ShortestPaths` with `OPTIMIZED`) optimise the whole + roster and destination set together; `CentralizedTE` may use a costlier destination to carry + more. +- **T1 and T2 heads** share the design and the offer by round robin over the roster in ascending + node id; a head's share goes only to its own tunnels, and what one head cannot carry is lost at + that head, never moved to another. +- **`Pinned`** follows its program: its injection over the replay roster, then each head's entries. + +Two sources with one unit each meet at node 2, whose two members lead to the destination. Pooled, +node 2 splits the two units once, one per member, and gives one member to each source; split +separately, each source would send its unit to the first member: + +```python +# Edges 0: 0 -> 2, 1: 1 -> 2, then the two members 2: 2 -> 3 and 3: 2 -> 3. +g = graph(4, [(0, 2, 5, 1), (1, 2, 5, 1), (2, 3, 1, 1), (2, 3, 1, 1)]) +pol = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, config(ngc.ShortestPaths())) +r = pol.place(2) +print(r.call_delivered, r.termination.name, [(row.source, row.delivered) for row in r.by_source]) +print([(rec.sources, rec.edge_flows) for rec in pol.records()]) +``` + +```text +2 COMPLETE [(0, 1), (1, 1)] +[([0], [(0, 1), (2, 1)]), ([1], [(1, 1), (3, 1)])] +``` + +### Equal source allocation and a source that cannot pass anything + +A roster source whose every route crosses an edge with no free capacity stays in the roster: it +receives its share and loses it. Lossless admits only totals that give it nothing, which is the +number of roster sources before it, because the first remainder units go to the lowest node ids: 0 +when it is the first source, 1 when it is the second (`RR(1, 2) = (1, 0)` gives it nothing, +`RR(2, 2) = (1, 1)` gives it a unit). This holds in every model. Lossy loses its share where its program +puts it: on the edge that limits it (`edge_drops`), or at the source when it has no member to send +it on (`source_drops`). An Eligibility that excludes the source or the edge removes it from the +roster instead. + +```python +# Source 0 reaches node 2 only over the 0-unit edge 0; source 1 over the 10-unit edge 1. +g = graph(3, [(0, 2, 0, 1), (1, 2, 10, 1)]) +equal = ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.EQUAL)) +optimized = ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.OPTIMIZED)) +for name, cfg in (("ShortestPaths", config(ngc.ShortestPaths())), + ("CentralizedTE EQUAL", equal), + ("CentralizedTE OPTIMIZED", optimized)): + r = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, cfg).place(10) + print(name, r.call_delivered, r.termination.name) +lossy = config(ngc.ShortestPaths(), admission=ngc.Admission.LOSSY) +r = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, lossy).place(10) +print("LOSSY", r.call_delivered, r.call_edge_drops, [(row.source, row.total_edge_drops) for row in r.by_source]) +r = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, config(ngc.ShortestPaths()), + g.eligibility(excluded_nodes=[0])).place(10) +print("source 0 excluded", r.call_delivered) +g = graph(3, [(0, 2, 10, 1), (1, 2, 0, 1)]) # now source 1 is the one behind the 0-unit edge +print("source 1 blocked", ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, config(ngc.ShortestPaths())).place(10).call_delivered) +``` + +```text +ShortestPaths 0 EXHAUSTED +CentralizedTE EQUAL 0 EXHAUSTED +CentralizedTE OPTIMIZED 10 COMPLETE +LOSSY 5 [(0, 5)] [(0, 5), (1, 0)] +source 0 excluded 10 +source 1 blocked 1 +``` + +### Forwarding programs + +**In plain words.** A program is what a routing decided, written down: which routes each source +uses and in which integer proportions. Every computing model produces one (`policy.program`, +`result.program`). `Pinned(program)` forwards a program without computing anything: to replay a +solution on another ledger, to study a failure (the routers drop the failed routes and split over +the survivors) or to study the moment before anyone reacts (the failed elements swallow what +reaches them). `ForwardingProgram.from_routes` builds a program from routes you give, each its own +entry; `ForwardingProgram.from_dag` builds one shared hop-by-hop program on a DAG you give, its +sources pooled exactly as `ShortestPaths` pools them. + +**Exact rules.** + +- **The value.** A `ForwardingProgram` is immutable and shared by reference: `sources` and + `destinations` (the normalised input sets), `tunnels` (the tunnel entries in ascending + `entry_id`; split routes are not listed) and `source_weights` (`None` for equal sources). A + `Tunnel` has `entry_id`, `head`, `local_index` (its position among its head's entries of both + kinds), `destination`, `edges` (in path order), `path_cost` (these three `None` for a tunnel + T1's setup left down), `status` (`UP`, or a down tunnel's `INSUFFICIENT_BANDWIDTH` or + `COST_CEILING_EXCEEDED`), `requested_bandwidth` and `reserved_bandwidth` (T1's request and what + it holds on every edge of its path: the request when up, else 0; 0 for the other producers), + `planned_bandwidth` (T2's planned bandwidth u, never held; 0 for the other producers) and + `weight`. It has no public constructor. +- **What a program shows.** A program can be replayed without exporting its tables. The public + value does not expose per-router effective weights, the split tables or a reachable-source list + (its `sources` are the normalised input sources); a split program may have no tunnels while it + carries traffic. Records and `OutputOptions` give the carried and dropped amounts per edge. +- **Injection.** A total `x` enters at the roster (the heads with an entry; for T1 and T2 the + policy's roster, a head without an up tunnel or without any tunnel included) either by round + robin (**equal sources**) or by highest averages over the captured source weights; each head + then splits its share by highest averages over its entries' weights (equal weights give round + robin). A head whose entries all have weight 0 loses its share at the source. Identical routes + are never merged: each entry takes its own share. `ShortestPaths` split routing, `from_dag`, T1, + T2, equal controllers and supplied routes use equal sources; optimized controllers use their + solved supplies. +- **Entry identifiers.** Every entry has an integer `entry_id` that identifies it within one + program (not across recomputations): T1 and T2 tunnels are numbered `j * H + i` (round `j`, + roster position `i`, `H` heads; T2's dead heads leave holes); controller paths are numbered in + decomposition order; a `ShortestPaths` split program and a `from_dag` program number their routes + by roster position; supplied routes keep their position in the `routes` list (a split route uses + its position too, so tunnel identifiers can skip it). Records (`FlowRecord.entry_id`) and + `by_tunnel` rows (`TunnelFlow.entry_id`) use the same identifier. +- **Split contexts.** A split route given to `from_routes` is its own context: its routers split + only that route's share, even where another split route reaches the same router with the same + members. A `ShortestPaths` `EQUAL` or `WEIGHTED` program and a `from_dag` program pool all + their sources in one context. A controller's program (`ShortestPaths` `OPTIMIZED` included) is + weighted path tunnels: its sources were solved jointly, and forwarding them splits no pooled + router. +- **`ForwardingProgram.from_routes(graph, sources, destinations, routes, *, allocation=None, + weight_basis=None, edge_weights=None, residual=None)`** with `RouteDefinition(head, route, *, + weight=1)` (`route` a `Path` with one edge per hop, a tunnel, or a `PredecessorDAG`, a split + route). Order and duplicates are kept; the roster is the sources with a route. `allocation` is + the interior split of the `PredecessorDAG` routes, `EQUAL` (`None`) or `WEIGHTED`, whose weights + `weight_basis`, `edge_weights` and `residual` choose as in + [section 5](#5-route-allocations-and-admission) (`residual` is the free capacity + `RESIDUAL_SNAPSHOT` reads; it has no default). A split route keeps the edges of its DAG on the + walks from its head to a destination. A route of weight 0 is validated in full and carries + nothing. The first failure, in this order, raises `ValueError`: + 1. the endpoint sets; + 2. `routes must not be empty`; + 3. when no route is a `PredecessorDAG`, any option given: ` applies only to PredecessorDAG routes`; + 4. `OPTIMIZED`: `from_routes allocation must be EQUAL or WEIGHTED`; + 5. the weights' combination: `weight_basis requires allocation=WEIGHTED`, + `weight_basis=EXPLICIT requires edge_weights`, `edge_weights require weight_basis=EXPLICIT`, + `weight_basis=RESIDUAL_SNAPSHOT requires residual`, `residual requires + weight_basis=RESIDUAL_SNAPSHOT`; + 6. `edge_weights`' length and entries, then `residual`'s (the ledger's baseline messages); + 7. each route in list order: `routes[]: route belongs to another graph`, `routes[]: head + is not a source`; for a `Path`, `routes[]: a tunnel has one edge per hop`, + `routes[]: the path starts at , not at head `, `routes[]: the path ends at , + not at a destination`, `routes[]: the path meets destination before its end`; for a + `PredecessorDAG`, `routes[]: no walk from head to a destination`; then + `routes[]: weight must be an integer in [0, 2^62)`. +- **The lossless bound** of a program is the one of + [section 5](#5-route-allocations-and-admission): each entry's share forwarded without drops, + the loads added per edge, the largest total that leaves no share without a route and puts no + edge above its free capacity. + +#### Supplied DAGs: from_dag + +`ForwardingProgram.from_dag(graph, sources, destinations, dag, *, allocation=None, +weight_basis=None, edge_weights=None, residual=None)` builds one shared hop-by-hop program on a +`PredecessorDAG` of the graph, trimmed to the walks from each source to its first destinations. +It is the mechanism `ShortestPaths` `EQUAL`/`WEIGHTED` uses for its own routes (one builder): +sources are allocated equally and pooled at every shared router with exactly the same splitting +and attribution, in one split context. `allocation` is `EQUAL` (`None`) or `WEIGHTED`; the weights +and the snapshot follow [section 5](#5-route-allocations-and-admission), and `RESIDUAL_SNAPSHOT` +needs an explicit `residual`. The roster is the sources that reach a destination in the DAG, +ignoring capacity and weights; an empty roster is allowed (an empty program). There is one split +route per roster source, identified by roster position, and no tunnel; a `Pinned` policy keeps one +record per route, attributed to its source. A replay rebuilds the roster on the DAG and keeps the +pooled context; stale forwarding keeps the tables and the roster. The first failure, in this +order, raises `ValueError`: the endpoint sets; `dag belongs to another graph`; the allocation +(`from_dag allocation must be EQUAL or WEIGHTED`) and the weights' combination as for +`from_routes`; `edge_weights`' and `residual`'s lengths and entries. A `dag` of another type is a +`TypeError` (`dag must be a PredecessorDAG (got )`). -A T2 call: two branches from node 0 to node 3 of 2 and 10 (at q = 2^-12: 8192 and 40960 units), -16 tunnels, `prefer_headroom=True`, then the same program replayed with the 2-unit branch's second -link down: +Two sources whose routes meet at node 2, which has two links of 1 to the destination. `from_dag` +pools the two arrivals and splits them once, one per link; two separate split routes of +`from_routes` each send their unit to the first link: ```python -q = 2.0 ** -12 -g = ngc.Graph(4, edge_sources=[0, 0, 1, 2], edge_destinations=[1, 2, 3, 3], edge_capacity_units=ngc.to_units([2, 10, 2, 10], q), - edge_costs=[1, 1, 1, 1], resolution=q) -te16 = ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.EQUAL, - tunnel_count=ngc.TunnelCount(16), prefer_headroom=True), - admission=ngc.Admission.LOSSY) -pol = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, te16) -r = pol.replace(49152) -p = r.plan -print(p.max_bandwidth_per_tunnel, p.planned_bandwidth_per_tunnel, p.max_fractional_bandwidth_per_tunnel, p.max_lossless_offer, r.call_delivered) -print(p.total_planned_bandwidth, p.total_tunnel_cost, p.headroom_penalty, p.heads_with_capacity, p.insufficient_resolution) -print([t.edges for t in r.program.tunnels][:3], [t.planned_bandwidth for t in r.program.tunnels][:3]) -fail = g.eligibility(excluded_edges=[2]) -replay = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, - ngc.FlowPolicyConfig(routing=ngc.Pinned(pol.program), admission=ngc.Admission.LOSSY), - eligibility=fail) -s = replay.replace(49152) -print([t.status.name for t in s.by_tunnel][:3], s.call_delivered) +g = graph(4, [(0, 2, 10, 1), (1, 2, 10, 1), (2, 3, 1, 1), (2, 3, 1, 1)]) +dag = ngc.PredecessorDAG.from_csr(g, [0, 0, 0, 2, 4], [0, 1, 2, 2], [0, 1, 2, 3]) +pooled = ngc.ForwardingProgram.from_dag(g, [0, 1], 3, dag) +separate = ngc.ForwardingProgram.from_routes(g, [0, 1], 3, [ngc.RouteDefinition(0, dag), ngc.RouteDefinition(1, dag)]) +for name, prog in (("from_dag", pooled), ("from_routes", separate)): + cfg = ngc.FlowPolicyConfig(routing=ngc.Pinned(prog)) + print(name, prog.tunnels, ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, cfg).place(float("inf")).call_delivered) +sp = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 3, config(ngc.ShortestPaths())).place(float("inf")) +print("ShortestPaths", sp.call_delivered) ``` ```text -2925 2925 20480/7 46812 47104 -46800 32 73610035200 (0,) False -[(0, 2), (0, 2), (1, 3)] [2925, 2925, 2925] -['FAILED', 'FAILED', 'UP'] 40960 +from_dag () 2 +from_routes () 1 +ShortestPaths 2 ``` -The fluid optimum is 20480/7 (a size that fills both branches exactly), so the common whole-unit -size is 2925: 2 tunnels fit the 8192-unit branch and 14 the 40960-unit one. The plan carries 46800; -forwarding the whole offer delivers 47104 because remainder units use the room left on the wide -branch. In the replay the two tunnels on the failed branch are `FAILED` and the head splits its -whole share over the other 14. +#### Replay under a failure -A dead head, a head too weak for one unit per tunnel, and "up to": +A `Pinned` policy's Eligibility is the failure being studied (local repair): + +- A tunnel that touches an excluded node or edge is `FAILED` and gets nothing; replay never + computes a replacement path. A tunnel T1's setup left down stays down with its status: replay + never brings one up. +- A split route loses its excluded members and the branches left without a destination; members + of capacity 0 stay (`EQUAL` still sends them their share). +- The roster is rebuilt from the program's **basis**, together with the replaying policy's + exclusions, ignoring capacities and weights: + + | Producer of the program | Basis | + | --- | --- | + | unrestricted `CentralizedTE`; T1; T2 without a support | the topology, under the producing policy's exclusions | + | `ShortestPaths`; `from_dag`; `CentralizedTE` with a support (with or without a tunnel count); `from_routes` | the original routes or support | + +- A head that no longer reaches a destination leaves the pool: with equal sources its share moves + to the others. A head that still reaches one but has no surviving entry keeps its share and + loses it. +- Captured source weights keep the remaining heads' saved weights. When all of them are 0, a + positive offer is lost at the sources, and the call ends `NO_ACTIVE_WEIGHT` when the program has + an entry with a path. A program without one (the program of a controller that sent nothing, such + as an all-zero `WEIGHTED` one) ends `COMPLETE` under `LOSSY`, the offer counted in the demand's + `source_drops` while every per-source row stays zero; under `LOSSLESS` it admits nothing and ends + `EXHAUSTED`. +- An edge whose capacity is now 0 is not a failure: its traffic is lost on that edge, the tunnel + stays `UP`. Weights stay as the program froze them. + +#### Stale forwarding: black holes + +`Pinned(program, black_holes=e)` and `forward(offer, black_holes=e)` forward the program unchanged +while the nodes and edges that `e` excludes swallow what reaches them (`None`, or an all-allowed +value, means none): + +- **The program is unchanged.** Nothing is pruned, re-split or reweighted: every router keeps its + members and weights and applies the program's whole-unit rule to the traffic that actually + arrives. +- **Where traffic disappears.** A black-holed edge carries nothing: all that arrives is dropped + there. A black-holed node acts the same on every edge entering it. A black-holed source loses its + own share as a source drop. +- **`LOSSY`** drops what reaches a black hole where it arrives. That traffic takes no part in + sharing an edge ([the loss rule](#losses-on-shared-edges)) and makes no edge wait, and the + traffic behind it can carry nothing. +- **`LOSSLESS`** admits only totals that put nothing on a black hole (a black-holed edge serves 0). +- **Statuses.** A tunnel that is up but whose path reaches a black hole is `BLACKHOLED` in + `by_tunnel`, its traffic dropped at the first black hole on its path. A down tunnel keeps its + setup status. +- **With a mask.** The policy's Eligibility applies first: an element both excluded and + black-holed is excluded. +- A program forwarded by `Pinned` books no hold, whatever its producer. ```python -lossy_t2 = lambda tunnel_count: ngc.FlowPolicyConfig( - routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.EQUAL, tunnel_count=tunnel_count), - admission=ngc.Admission.LOSSY) -dead = graph(3, [(0, 2, 0, 1), (1, 2, 10, 1)]) -r = ngc.FlowPolicy(ngc.FlowLedger(dead), [0, 1], 2, lossy_t2(ngc.TunnelCount(2))).replace(10) -print(r.plan.heads_with_capacity, [t.entry_id for t in r.program.tunnels], r.plan.planned_bandwidth_per_tunnel, r.call_delivered, r.call_source_drops) -tiny = graph(3, [(0, 2, 1, 1), (1, 2, 100, 1)]) -r = ngc.FlowPolicy(ngc.FlowLedger(tiny), [0, 1], 2, lossy_t2(ngc.TunnelCount(16))).replace(200) -print(r.plan.insufficient_resolution, r.plan.max_fractional_bandwidth_per_tunnel, r.program.tunnels, r.call_source_drops) -r = ngc.FlowPolicy(ngc.FlowLedger(tiny), [0, 1], 2, lossy_t2(ngc.TunnelCount(3, up_to=True))).replace(200) -print(r.plan.tunnels_per_head, [t.edges for t in r.program.tunnels], r.call_delivered) +# Two parallel edges of 4 and 8: the duplicate tunnel takes its own share. +g = graph(2, [(0, 1, 4, 1), (0, 1, 8, 1)]) +def tunnel(g, head, edges, weight=1): + return ngc.RouteDefinition(head, ngc.Path(g, [[e] for e in edges]), weight=weight) +def pinned(program, admission=ngc.Admission.LOSSLESS, black_holes=None): + return ngc.FlowPolicyConfig(routing=ngc.Pinned(program, black_holes=black_holes), + admission=admission) +for routes in ([tunnel(g, 0, [0]), tunnel(g, 0, [1]), tunnel(g, 0, [1])], + [tunnel(g, 0, [0]), tunnel(g, 0, [1])]): + prog = ngc.ForwardingProgram.from_routes(g, 0, 1, routes) + r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, pinned(prog)).place(float("inf")) + print(r.call_delivered, [(t.entry_id, t.assigned) for t in r.by_tunnel]) + +# Two tunnels 0 -> 1 -> 3 and 0 -> 2 -> 3, every edge 10: node 2 fails. +g = graph(4, [(0, 1, 10, 1), (0, 2, 10, 1), (1, 3, 10, 1), (2, 3, 10, 1)]) +prog = ngc.ForwardingProgram.from_routes(g, 0, 3, [tunnel(g, 0, [0, 2]), tunnel(g, 0, [1, 3])]) +down = g.eligibility(excluded_nodes=[2]) +lossy = pinned(prog, ngc.Admission.LOSSY) +r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, lossy, down).replace(10) +print("repair", r.call_delivered, [(t.status.name, t.assigned) for t in r.by_tunnel]) +r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, pinned(prog, ngc.Admission.LOSSY, down)).replace(10) +print("stale", r.call_delivered, r.call_edge_drops, [(t.status.name, t.assigned) for t in r.by_tunnel]) +print("stale lossless", ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, pinned(prog, black_holes=down)) + .place(float("inf")).call_delivered) ``` ```text -(1,) [1, 3] 3 5 5 -True 1/16 () 200 -1 [(0,), (1,)] 101 +12 [(0, 4), (1, 4), (2, 4)] +8 [(0, 4), (1, 4)] +repair 10 [('UP', 10), ('FAILED', 0)] +stale 5 [(1, 5)] [('UP', 5), ('BLACKHOLED', 5)] +stale lossless 1 ``` -Head 0's only link has no free capacity: it is dead, keeps its share of 5 and loses it, and its -positions 0 and 2 are holes. Behind links of 1 and 100, 16 tunnels per head fit no whole unit -(`s*` = 1/16): the program has no tunnels and the whole offer is lost at the heads. Up to 3, one -tunnel per head fits a unit; it carries 1 of head 0's 100 and all of head 1's. +The repaired head sends all 10 over its surviving tunnel. Stale, node 0 still splits 5 and 5 and +the second tunnel's 5 are dropped on edge 1, the edge entering node 2; Lossless admits 1 unit (2 +units would put one on the black hole). -The headroom objective on two equal-cost parallel links of 10, two tunnels for a design of 2: +A program of a controller replays its solve; under a mask its failed tunnel's share moves to the +head's surviving tunnel: ```python -par = graph(2, [(0, 1, 10, 1), (0, 1, 10, 1)]) -for on in (False, True): - cfg = ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.EQUAL, - tunnel_count=ngc.TunnelCount(2), prefer_headroom=on), - admission=ngc.Admission.LOSSY) - r = ngc.FlowPolicy(ngc.FlowLedger(par), 0, 1, cfg).replace(12, design_demand=2) - print(on, [t.edges for t in r.program.tunnels], r.plan.headroom_penalty, r.plan.max_lossless_offer, r.call_delivered) +g = graph(4, [(0, 1, 2, 1), (0, 2, 10, 1), (1, 3, 2, 1), (2, 3, 10, 1)]) +solved = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.OPTIMIZED))) +prog = solved.replace(12).program +print([(t.entry_id, list(t.edges), t.weight) for t in prog.tunnels], prog.source_weights) +r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, pinned(prog, ngc.Admission.LOSSY), + g.eligibility(excluded_edges=[2])).replace(12) +print(r.call_delivered, r.call_edge_drops, [(t.status.name, t.assigned, t.delivered) for t in r.by_tunnel]) ``` ```text -False [(0,), (0,)] None 10 10 -True [(0,), (1,)] 858993458 20 12 +[(0, [0, 2], 2), (1, [1, 3], 10)] ((0, 12),) +10 [(1, 2)] [('FAILED', 0, 0), ('UP', 12, 10)] ``` -Both plans size the tunnels at 1 unit (U = 10). Without the objective the cost tie goes to the -smallest keys: both tunnels on link 0, which then bounds forwarding at 10. With it, a second slot -on link 0 would pay `floor(2^32 * 2 / 10)` against `floor(2^32 / 10)` on link 1, so the tunnels -spread and the program forwards 20. +The first tunnel is `FAILED`; the head's 12 go to its other tunnel by its weight 10 alone, which +carries 10 and drops 2 on edge 1. -T2 on a support: three parallel links from node 0 to node 1 of (capacity, cost) (6, 1), (6, 1) and -(100, 2); the support holds the first two. The cheap pair carries one tunnel each and the third -link is never used; with the second link masked, both tunnels share the first: +#### Failure studies + +A failure has three states, all built from these primitives: **stale forwarding** (no router has +reacted yet: the black holes above), **local repair** (the routers drop the failed routes and split +over the survivors: the mask of a `Pinned` policy) and **converged routing** (a new computation on +the failed network: a new policy with that mask). Save the baseline program before the failure. +`evaluate_edge_failures` recomputes or repairs under each deletion +([section 10](#10-evaluators)); it never turns a deletion into a black hole, so a stale study of +every link is a loop over `Pinned(base, black_holes=...)`. A failure never changes the graph or +another policy's mask; on a shared ledger, the old owner is removed or replaced before its +replacement is modelled, since a new policy is a different demand that does not release the old +one's traffic or holds. + +### Losses on shared edges + +**In plain words.** Where `LOSSY` traffic meets on an edge that cannot carry it all, the edge +carries as much as it can and shares that amount out by highest averages: first between the +demands, by what each brings, then within a demand between its sources, then within a source +between its entries. Each part goes on with its share; the rest is dropped on that edge. Sharing +demand by demand first means that a demand gains nothing by spreading its traffic over more +tunnels. + +Two demands of 8 and 4 meet on a link of 9: the link carries `T = min(9, 12) = 9`, and +`H(9, [8, 4]) = (6, 3)`, so they lose 2 and 1. Offers of 5, 1 and 1 on a link of 3 give +`H(3, [5, 1, 1]) = (3, 0, 0)`: the first offer's quotients 5, 5/2 and 5/3 all exceed the others' +1. On a link of 1, demand A with two tunnels of 1 unit and demand B with one tunnel of 2 tie at +the demand level, 2 against 2. Ties go to the demand created first, A, whatever the order of the +list, and within A to its first tunnel: ```python -sup = graph(2, [(0, 1, 6, 1), (0, 1, 6, 1), (0, 1, 100, 2)]) -support = ngc.PredecessorDAG.from_csr(sup, [0, 0, 2], [0, 0], [0, 1]) -on_support = ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.EQUAL, support=support, - tunnel_count=ngc.TunnelCount(2)) -for mask in (None, sup.eligibility(excluded_edges=[1])): - pol = ngc.FlowPolicy(ngc.FlowLedger(sup), 0, 1, ngc.FlowPolicyConfig(routing=on_support), mask) - r = pol.replace(float("inf")) - print(r.plan.max_bandwidth_per_tunnel, [t.edges for t in r.program.tunnels], r.plan.max_lossless_offer) +def at_once(capacity, offers): + """One link 0 -> 1; each offer is its own ECMP demand, all forwarded at the same time.""" + g = graph(2, [(0, 1, capacity, 1)]) + ledger = ngc.FlowLedger(g) + demands = [ngc.FlowPolicy(ledger, 0, 1, config(ngc.ShortestPaths(), admission=ngc.Admission.LOSSY)) + for _ in offers] + results = ngc.apply_actions(ledger, [ngc.Replace(d, x) for d, x in zip(demands, offers)], + mode=ngc.BatchMode.SIMULTANEOUS) + return [r.call_delivered for r in results] + +print(at_once(9, [8, 4]), at_once(3, [5, 1, 1])) +g = graph(2, [(0, 1, 1, 1)]) +ledger = ngc.FlowLedger(g) +a_program = ngc.ForwardingProgram.from_routes(g, 0, 1, [tunnel(g, 0, [0]), tunnel(g, 0, [0])]) +b_program = ngc.ForwardingProgram.from_routes(g, 0, 1, [tunnel(g, 0, [0])]) +a = ngc.FlowPolicy(ledger, 0, 1, pinned(a_program, ngc.Admission.LOSSY)) # created first +b = ngc.FlowPolicy(ledger, 0, 1, pinned(b_program, ngc.Admission.LOSSY)) +rb, ra = ngc.apply_actions(ledger, [ngc.Replace(b, 2), ngc.Replace(a, 2)], mode=ngc.BatchMode.SIMULTANEOUS) +print(ra.call_delivered, [t.delivered for t in ra.by_tunnel], rb.call_delivered) ``` ```text -6 [(0,), (1,)] 12 -3 [(0,), (0,)] 6 +[6, 3] [3, 0, 0] +1 [1, 0] 0 +``` + +**Exact rules.** + +- **The local rule.** At an edge `e` that receives more than its free capacity `V[e]`, with + arrivals `a[d, s, t]` by demand `d`, source `s` and entry `t`, the edge carries + `T = min(V[e], sum of a)`. Each demand gets its share of `H(T, arrivals by demand)`, the demands + taken in the order their policies were created in the ledger, never by list position (one + program is one demand; in a `SIMULTANEOUS` list each policy is a demand). Within a demand its + sources share by `H` over their arrivals, and within a source its entries the same way. Each + part carries only its share onward; the rest is dropped on this edge. A pooled `ShortestPaths` + demand has no entry level: it splits its total once at each router, and each member's amount + is shared among the sources by highest averages over what each still brings. +- **The whole forwarding state** is evaluated at once: + 1. Every demand is forwarded with its fixed injections and splits, sharing no edge and dropping + its traffic only at its own black holes, and the loads are added. Traffic that carries + nothing in this forward is **dead**: an entry, a split member or a pooled source whose + whole-unit share is 0, or traffic that can only come through its own demand's black hole. + Dead traffic takes no part in what follows: it loads no edge, makes no edge wait and joins no + series of edges below. So adding a demand that can carry nothing never changes another + demand's result, error or round count. + 2. **Edges in series.** Two consecutive edges of equal free capacity that all the live traffic + crosses together (nothing enters, ends, merges, branches or is re-attributed between them) + act as one: in a chain of such edges only the first keeps its service, and the others pass + traffic through and report no drops (the records keep every physical edge). So splitting an + edge into two in series with the same capacity changes nothing (a black hole on it becomes + one on its first part, or on both). + 3. An edge whose load fits its free capacity can never drop: it passes traffic through and + waits for nothing. Every other shared edge waits for all the traffic that can reach it, and a + router waits for what it receives. + 4. The edges are evaluated once each, in dependency order, by the local rule; the order of + independent edges does not change the result. + 5. Edges that wait on each other in a cycle are solved as a group (below). + + Traffic that reaches its own demand's black hole is dropped there and takes no part in the + sharing. This is a steady proportional-sharing convention, not a packet, buffer or + retransmission simulation. +- **Cycles.** When edges wait on each other in a cycle (one tunnel meets edge X before Y, another + Y before X, and both can drop; the tunnels may belong to different demands), only that group is + recalculated, round by round. Round 1 starts from nothing carried. Every round re-injects the + full offers, recomputes all the group's edges at once from what the previous round carried, and + never offers dropped traffic again. Each round's carried amounts are compared with the earlier + rounds', and the first case that applies ends the group: + + | After a round | Outcome | + | --- | --- | + | it carries exactly what the round before carried | the group is solved | + | it carries what the round two before carried (the rounds alternate between two states) | `ValueError("lossy forwarding iteration entered a period-2 cycle")` | + | the group has used 64 rounds per waiting edge in it | `ValueError("lossy forwarding iteration did not reach a fixed point within the round limit")` | + + A solved answer is checked independently against the rule before anything is published; a + failed check, an implementation fault, raises `RuntimeError("lossy forwarding fixed-point + verification failed")`. Each error publishes nothing and does not claim that no answer exists. + +```python +# Two tunnels of one head share the second edge of 2 on tunnel 0 only. +g = graph(4, [(0, 1, 10, 1), (0, 2, 10, 1), (1, 3, 2, 1), (2, 3, 10, 1)]) +prog = ngc.ForwardingProgram.from_routes(g, 0, 3, [tunnel(g, 0, [0, 2]), tunnel(g, 0, [1, 3])]) +r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, pinned(prog, ngc.Admission.LOSSY)).place(12) +print(r.call_delivered, r.call_edge_drops, [(t.assigned, t.delivered, t.total_edge_drops) for t in r.by_tunnel]) + +# One edge of 9 shared by two tunnels of weights 2 and 1: the offer splits 8 and 4, the edge 6 and 3. +g = graph(2, [(0, 1, 9, 1)]) +prog = ngc.ForwardingProgram.from_routes(g, 0, 1, [tunnel(g, 0, [0], 2), tunnel(g, 0, [0], 1)]) +r = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 1, pinned(prog, ngc.Admission.LOSSY)).place(12) +print(r.call_delivered, [(t.assigned, t.delivered, t.total_edge_drops) for t in r.by_tunnel]) + +# Two tunnels cross edges X (e0, 1 unit) and Y (e3, 2 units) in opposite orders, weights 1 and 2. +g = graph(6, [(0, 1, 1, 1), (1, 2, 1000, 1), (1, 5, 1000, 1), (2, 3, 2, 1), (3, 0, 1000, 1), + (3, 5, 1000, 1), (4, 0, 1000, 1), (4, 2, 1000, 1)]) +prog = ngc.ForwardingProgram.from_routes( + g, 4, 5, [tunnel(g, 4, [6, 0, 1, 3, 5], 1), tunnel(g, 4, [7, 3, 4, 0, 2], 2)]) +try: + ngc.FlowPolicy(ngc.FlowLedger(g), 4, 5, pinned(prog, ngc.Admission.LOSSY)).place(3) +except ValueError as error: + print(error) +``` + +```text +8 [(2, 4)] [(6, 2, 4), (6, 6, 0)] +9 [(8, 6, 2), (4, 3, 1)] +lossy forwarding iteration entered a period-2 cycle ``` +In the first program the second edge of 2 on tunnel 0 drops 4 of its 6. In the cycle, tunnel 0 +sends 1 unit over X (edge 0, capacity 1) and then Y (edge 3, capacity 2), and tunnel 1 sends 2 +units over Y and then X. What tunnel 0 keeps on X decides what reaches Y, and what tunnel 1 keeps +on Y decides what reaches X. Shares are by highest averages over the arrivals, ties to tunnel 0: + +| Round | At X: arrivals of tunnels 0, 1 | X carries | At Y: arrivals of tunnels 0, 1 | Y carries | +| --- | --- | --- | --- | --- | +| 1 | 1, 0 | 1, 0 | 0, 2 | 0, 2 | +| 2 | 1, 2 | 0, 1 | 1, 2 | 1, 1 | +| 3 | 1, 1 | 1, 0 | 0, 2 | 0, 2 | + +Round 3 repeats round 1, so the call raises the period-2 error and publishes nothing. + ### The placement call `place(offer, outputs=None)` takes an offer in units (an `int`) or `float('inf')`. @@ -1775,17 +2209,22 @@ for mask in (None, sup.eligibility(excluded_edges=[1])): false. It is not a removal: `remove()` is. 3. **`ShortestPaths` split routing and `Pinned`.** `ShortestPaths` prepares the program at the epoch's first positive call (one record per roster source, also at zero delivery); `Pinned` - creates its records, one per entry, there. Lossless then admits the largest total `a` between - what it already delivers and that plus the offer whose forwarding of `RR(a)` from zero fits the - free capacity plus the policy's own allocation with no drop and gives no share to a source - without a member (exact binary search: the totals that fit form a prefix); a unit refused by - an earlier call is not offered again (the next call targets what is delivered plus its own - offer). Lossy injects at the sources this call's increase of the injection, - `RR(offered + v) - RR(offered)` (or the difference of the highest averages over captured source - weights), and forwards it hop by hop on the free capacity: each edge carries the smaller of - what reaches it and its residual and drops the rest; old drops are never offered again. An - infinite Lossy offer is rejected for `Pinned` (`LOSSY forwarding requires a finite offer`); for - `ShortestPaths` it is the first-hop experiment of [section 5](#5-route-allocations-and-admission). + creates its records, one per entry, there. The two admissions count the new offer differently: + - **Lossless** re-solves the whole target: it admits the largest total `a` between what it + already delivers and that plus the offer that fits on its service view + ([the lossless bound](#5-route-allocations-and-admission)), forwarded from zero. A unit + refused by an earlier call is not offered again: the next call targets what is delivered + plus its own offer. + - **Lossy** sends only the new units: the sources inject this call's increase of the + injection, `RR(offered + v) - RR(offered)`, and it is forwarded hop by hop on the free + capacity; each edge carries the smaller of what reaches it and its residual and drops the + rest, and old drops are never offered again. With captured source weights the increase is + `H(offered + v, w) - H(offered, w)`, so after any number of calls the sources have received + exactly `H(total offered, w)`. + + An infinite Lossy offer is rejected for `Pinned` (`LOSSY forwarding requires a finite offer`); + for `ShortestPaths` it is the first-hop experiment of + [section 5](#5-route-allocations-and-admission). 4. **The controllers** re-solve as described above. 5. **T1 and T2** have no `place`: every call raises `DistributedTE does not support incremental placement` or `CentralizedTE with tunnel_count does not support incremental placement`, before @@ -1808,16 +2247,34 @@ What the call guarantees: allocation and cost curve) and Lossless `Pinned`. Lossy calls are not additive: each forwards its own injection on the free capacity the earlier calls left, and nothing is offered again. +Two sources behind private links of 1 and 3, and calls of 3 and then 1. Lossless: the first call +tries 3, split (2, 1), but source 0's link carries only 1, so it admits 2, split (1, 1). The +second call targets what is delivered plus its offer, 2 + 1 = 3 again, which still does not fit, +and delivers 0. Lossy: the first call sends (2, 1) and drops 1 on source 0's link; the second sends +only the new units, `RR(4, 2) - RR(3, 2) = (2, 2) - (2, 1) = (0, 1)`, and delivers that 1: + +```python +g = graph(3, [(0, 2, 1, 1), (1, 2, 3, 1)]) +for admission in (ngc.Admission.LOSSLESS, ngc.Admission.LOSSY): + pol = ngc.FlowPolicy(ngc.FlowLedger(g), [0, 1], 2, config(ngc.ShortestPaths(), admission=admission)) + calls = [pol.place(v) for v in (3, 1)] + print(admission.name, [(r.call_delivered, r.call_edge_drops) for r in calls], calls[-1].delivered) +``` + +```text +LOSSLESS [(2, []), (0, [])] 2 +LOSSY [(2, [(0, 1)]), (1, [])] 3 +``` + ### Epochs `remove()` takes every flow of the policy out of the ledger (allocations reverted, records gone, ids retired), clears the installed program and starts a new epoch: the cumulative request, the round-robin position of the source split and the finite-or-infinite state are reset. The next -positive offer prepares again (a `ShortestPaths` policy with a static route choice uses its kept, -equal program; see Routing models) and creates new flows with new ids; ids are never reused. -Until the next positive `place` or a `replace`, `program` reads empty, also when the policy keeps -a program. A repeated `remove()` does nothing. A policy destroyed without `remove()` leaves its traffic and -holds in the ledger as orphans until `FlowLedger.reset()`; nothing is redistributed. +positive offer prepares again and creates new records with new ids; ids are never reused. After +`remove()` the policy's `program` reads `None` until the next preparation. A repeated `remove()` +does nothing. A policy destroyed without `remove()` leaves its traffic and holds in the ledger as +orphans until `FlowLedger.reset()`; nothing is redistributed. `replace` and `forward` also start a new epoch (below). ```python @@ -1845,12 +2302,13 @@ split starts again at source 0, under new ids. ### Operations: evaluate, replace and forward -Besides `place`, a policy has three full-offer calls. Each starts from the policy's own **released -view**: the ledger's residual with the policy's own traffic given back. +Besides `place`, a policy has three full-offer calls. Each starts from the policy's **released +view**: its service view, the ledger's residual with the policy's own traffic given back (T1's +setup uses its setup view, with its own holds given back). | Call | What it does | Routings | | --- | --- | --- | -| `evaluate(offer, *, design_demand=None, outputs=None)` | computes and forwards `offer` from the released view as a fresh epoch would (T1: sets up on its unreserved view with its own holds released), and reports it; publishes nothing, creates no record and books no hold | all | +| `evaluate(offer, *, design_demand=None, outputs=None)` | computes and forwards `offer` from the released view as a fresh epoch would (T1: sets up on its setup view), and reports it, the computed program included; publishes nothing: no record, no hold, and the policy's program and epoch stay as they were | all | | `replace(offer, *, design_demand=None, outputs=None)` | the same computation, then published at once: the old records and holds are retired, new ones created, the new program installed, a new epoch begun with `requested = offer`; delivery may go down | all | | `forward(offer, *, black_holes=None, outputs=None)` | forwards a full new offer over the installed program with no route computation and no setup (weights stay frozen, a controller does not re-solve, T1 keeps its tunnels and holds, T2 its tunnels and plan), on the released view, then publishes like `replace`; `black_holes` forwards it stale for this call | every computing model with an installed program; `Pinned` uses `replace` | @@ -1858,18 +2316,10 @@ view**: the ledger's residual with the policy's own traffic given back. minus the old (it may be negative). A later `place` continues the epoch a `replace` or a `forward` began (its records keep their ids). - With other owners fixed, identical full inputs give identical results, except fresh record ids. -- `forward`'s checks, in order: `Pinned forwards with replace`; the offer; a Lossy `+inf` - (`LOSSY forwarding requires a finite offer`, as for `evaluate` and `replace` and Lossy `Pinned`); - the black holes' type and graph (`black_holes belongs to another graph`); then, under the ledger - gate, `forward requires an installed program` (also after `remove()`). -- **`design_demand`** belongs to T1 and T2 alone (every other routing raises ` does not - accept design_demand`, the model `ShortestPaths`, `CentralizedTE` or `Pinned`): an integer in - `[0, 2^62)` or `float('inf')` (else `design_demand must be an integer in [0, 2^62) or permitted - +inf`); `None` means equal to the offer; T1 needs it finite (`DistributedTE requires a finite - design demand`, also for an infinite offer without a design); T2 takes an unlimited one (its - largest common size). It never accumulates. `evaluate` and `replace` check the offer (`offer - must be an integer in [0, 2^62) or permitted +inf`), then a Lossy `+inf`, then the design (the - routing, its domain, finiteness). +- **`design_demand`** belongs to T1 and T2 alone: an integer in `[0, 2^62)` or `float('inf')`; + `None` means equal to the offer. T1 needs it finite, also for an infinite offer; T2 takes an + unlimited one (its largest common size). It never accumulates. The texts of these checks and of + `forward`'s are in [configuration and call errors](#configuration-and-call-errors). - A program reused elsewhere, or read again under a different mask, goes through a new `Pinned` policy; a program forwarded by `Pinned` never books holds, whatever its producer (read a result's `edge_reservations` or the ledger for actual holds). @@ -1905,17 +2355,16 @@ applies (an invalid call raises instead): | `COMPLETE` | the offer is 0 | | `NO_ROUTE` | the offer is positive and the roster is empty (`Pinned`: the replay roster) | | `NO_ACTIVE_WEIGHT` | the program has an entry with a path (an up tunnel, a controller path or a split route), but nothing can be sent anywhere: every `WEIGHTED` member has weight 0, or no head with a positive injection weight has a surviving entry of positive weight (routes of weight 0, every up tunnel failed). A program whose tunnels are all down (T1) or that has no tunnels (T2 with every head dead, or U = 0) is not this case: it goes on to the rows below, every share lost at its head | +| `NO_ACTIVE_WEIGHT` | a live `WEIGHTED` controller whose roster weights are all 0: nothing enters, nothing is delivered and a finite offer is wholly unadmitted; its program has captured weights that are all 0 and no tunnel | | `COMPLETE` | Lossy with a finite offer: the whole offer was forwarded, and delivery and losses account for all of it (it does not mean nothing was lost) | | `COMPLETE` | Lossless: the whole offer was admitted | | `EXHAUSTED` | otherwise: Lossless below the offer, any infinite offer (the first-hop experiment included), a controller whose maximum is 0 over existing routes | `call_undelivered` is an amount, never a status: a Lossy call can be `COMPLETE` with a positive -`call_undelivered`. The live WEIGHTED controller has one additional outcome: positive offer, -nonempty roster and all roster weights zero gives NO_ACTIVE_WEIGHT, zero delivery and all finite -traffic unadmitted. It installs an empty program with captured zero weights. Pinned replay follows -its fixed-program rule: LOSSY COMPLETE with the whole offer lost at the sources, LOSSLESS -EXHAUSTED. This is the one producer/replay termination difference; empty roster is still NO_ROUTE -and zero offer COMPLETE. +`call_undelivered`. A `Pinned` replay of the all-zero `WEIGHTED` controller's program follows the +rows of a fixed program instead ([replay](#replay-under-a-failure)): Lossy `COMPLETE` with the +whole offer lost at the sources, Lossless `EXHAUSTED`. That is the one case in which a live call +and its replay end differently. ```python def show(r): @@ -2022,9 +2471,11 @@ confused. - **`by_source`** is a tuple of `SourceFlow` rows, one per input source in ascending node id, a source outside the roster included (a zero row): `source`, `offered` (`None` when Lossless), `admitted`, `delivered`, `source_drops` and `total_edge_drops` (its share of `edge_drops`). The - rows sum to the totals, with one exception: a Lossy positive offer with an empty roster reports - `offered = requested` and all of it as `source_drops`, lost before entering, while every row - stays zero. + rows sum to the totals, with two exceptions, both Lossy with a positive offer: an empty roster, + and a forwarding whose remaining captured source weights are all 0 (the program of a controller + that sent nothing, such as an all-zero `WEIGHTED` one, or a mask that left only zero-weight + heads). In both the whole offer is the demand's `source_drops`, lost before entering, while every + row stays zero; read the demand's totals from the result's own fields, not from the rows. - **`by_tunnel`** is a tuple of `TunnelFlow` rows, one per program tunnel in ascending `entry_id` (empty without tunnels): `entry_id`, `head`, `status` (`UP`; `INSUFFICIENT_BANDWIDTH` or `COST_CEILING_EXCEEDED` for a tunnel T1's setup left down; `FAILED` or `BLACKHOLED` in this @@ -2033,14 +2484,23 @@ confused. attributed to one of its down tunnels. - **`total_cost`**: the controllers only, the exact `sum(cost[e] * flow[e])` of the policy's allocation; `None` otherwise (T1, T2 and `Pinned` included). -- **`marginal_cost_curve`**: unrestricted `CentralizedTE` with `OPTIMIZED` source allocation - only, the marginal cost curve of the policy's cumulative flow (an offer of 0 reports it - unchanged; `None` before the epoch's first positive call). `None` for every other model, - `EQUAL` source allocation included: the marginal costs of an equal flow need not increase. For - other models, the sum of `(min_route_cost, delivered)` over the records is a histogram of - delivery by each record's cheapest walk cost: the cost every unit travels at for `ShortestPaths` - split routing, T1 and T2, whose routes have one cost, but not for a split route whose walks - differ in cost. +- **`marginal_cost_curve` and `min_cut`** exist only for unrestricted `CentralizedTE` with + `OPTIMIZED` source allocation. For every other model, for `EQUAL` or `WEIGHTED` sources and with + a supplied support both are `None`: the marginal costs of a flow with prescribed shares need not + increase, and such a flow is not the unrestricted maximum a cut certifies. For that controller + the call decides what is reported: + + | Call | `marginal_cost_curve` | `min_cut` (when requested) | + | --- | --- | --- | + | a positive `place`, an `evaluate` or a `replace`, a zero offer included | the curve of the call's solve: of the policy's cumulative flow for `place`, of the whole offer for `evaluate` and `replace` | the cut, when the solve reached the maximum on its view; `None` when the offer stopped it below | + | `place(0)` | the stored curve unchanged: `None` before the epoch's first solve or forward; after a `forward`, `None` for a nonempty roster and `[]` for an empty one; otherwise the last solve's | `None` | + | `forward` with a nonempty roster | `None`: nothing is solved | `None` | + | any of these but `place(0)`, with an empty roster | `[]` (the flow is 0 and maximal) | `[]` | + +- **Histograms for the other models.** The sum of `(min_route_cost, delivered)` over the records is + a histogram of delivery by each record's cheapest walk cost: the cost every unit travels at for + `ShortestPaths` split routing, T1 and T2, whose routes have one cost, but not for a split route + whose walks differ in cost. - **Optional outputs**, `None` unless requested through `OutputOptions(edge_flows=False, residual=False, saturated_boundary_edges=False, edge_reservations=False, min_cut=False)`: `edge_flows` is the policy's own allocation per edge after the call (the ledger's total is @@ -2049,16 +2509,12 @@ confused. without holds; the ledger's total is `reserved()`); `min_cut` is described below. - **`saturated_boundary_edges` and `min_cut` are different things.** `saturated_boundary_edges` is the saturation report of [section 6](#6-the-ledger), available in every model. `min_cut` - (requested by `OutputOptions(min_cut=True)`) exists only for unrestricted `CentralizedTE` with - `OPTIMIZED` source allocation: the edges of a minimum cut of the policy's view, the one on the - sources' side: the allowed edges that leave the nodes the sources can still reach once the flow - is maximal (counting the option to undo flow on an edge), in ascending EdgeId, an edge with - nothing free in the view (capacity 0, or held by other policies) included: it adds 0 to the - cut's value and is listed because every allowed edge leaving that set is listed; an edge the - policy's Eligibility excludes is never listed; `[]` for an empty roster. It is present only when - the solve reached the maximum on its view; when an offer below the maximum stopped it, on an - offer of 0 (nothing is solved), and in every other model, `EQUAL` sources and a supplied support - included, `min_cut` is `None`. + (requested by `OutputOptions(min_cut=True)`, reported as the table above says) is the edges of a + minimum cut of the policy's service view, the one on the sources' side: the allowed edges that + leave the nodes the sources can still reach once the flow is maximal (counting the option to undo + flow on an edge), in ascending EdgeId. An edge with nothing free in the view (capacity 0, or held + by other policies) is included: it adds 0 to the cut's value and is listed because every allowed + edge leaving that set is listed. An edge the policy's Eligibility excludes is never listed. ```python g = graph(4, [(0, 1, 10, 1), (1, 3, 10, 1), (0, 2, 5, 2), (2, 3, 5, 2)]) @@ -2070,17 +2526,22 @@ print(r.call_delivered, r.marginal_cost_curve, r.min_cut, r.saturated_boundary_e r = pol.place(float("inf"), want) print(r.call_delivered, r.marginal_cost_curve, r.min_cut, r.saturated_boundary_edges, r.termination.name) print(r.requested, r.admitted, r.unadmitted, r.total_cost) +r = pol.forward(5, outputs=want) +print(r.call_delivered, r.total_cost, r.marginal_cost_curve, r.min_cut) ``` ```text 12 [(2, 10), (4, 2)] None [0] COMPLETE 3 [(2, 10), (4, 5)] [0, 1] [0, 1] EXHAUSTED inf 15 None 40 +5 12 None None ``` -After 12 units the cheap path (cost 2) is full and the solve stopped below the maximum, so there -is no cut; `saturated_boundary_edges` already reports the full edge 0. The second call adds 3 units at cost 4 -and reaches the maximum of 15, at a total cost of 10 x 2 + 5 x 4 = 40. +After 12 units the cheap path (cost 2) is full and the solve stopped below the maximum, so there is +no cut; `saturated_boundary_edges` already reports the full edge 0. The second call adds 3 units at +cost 4 and reaches the maximum of 15, at a total cost of 10 x 2 + 5 x 4 = 40. `forward(5)` sends 5 +over the installed paths by their weights 10 and 5, `H(5, [10, 5]) = (4, 1)`, at a cost of 4 x 2 + 1 +x 4 = 12; it solves nothing, so it reports no curve and no cut. ### Several demands at once @@ -2100,9 +2561,9 @@ raises `TypeError` when the action is built), and the call checks their domain. - **`BatchMode.ORDERED`** runs each action in list order exactly as its scalar call would, on the state the earlier actions left (their traffic and their holds); the policies not reached yet keep their old state. Normal outcomes (exhaustion, source drops, a down tunnel) are kept. Earlier - actions are served first: on one edge of 10, an ECMP replace of 10 and then a T1 tunnel's replace of 10 - deliver 10 and 0, though the tunnel holds its 10, because a hold reserves setup bandwidth, not - service. New records take FlowIds in list order. + actions are served first: on one edge of 10, an ECMP replace of 10 and then a T1 tunnel's replace + of 10 deliver 10 and 0, though the tunnel holds its 10, because a hold reserves setup bandwidth, + not service. New records take FlowIds in list order. - **`BatchMode.SIMULTANEOUS`** forwards every action at the same time on fixed routes, the losses shared across the demands by [the loss rule](#losses-on-shared-edges). It takes `Replace` of `ShortestPaths` `EQUAL` or `WEIGHTED` (its routes prepared on the list's view) and of `Pinned`, @@ -2122,14 +2583,14 @@ raises `TypeError` when the action is built), and the call checks their domain. `actions must be a sequence of Place, Replace or Forward (got )`, `actions[] must be a Place, Replace or Forward (got )`, `mode must be a BatchMode (got )`, `outputs must be an OutputOptions (got )`); the mode's value (`mode: is not a value of BatchMode`); an - empty list checks ledger usability under the gate before returning `[]`. Each action's - argument checks run in list order: `list policy belongs to another ledger`, `duplicate policy in list`, the SIMULTANEOUS - rules (`SIMULTANEOUS does not accept Place`, `SIMULTANEOUS Replace requires ShortestPaths EQUAL or - WEIGHTED, or Pinned`, `SIMULTANEOUS requires admission=LOSSY`, `SIMULTANEOUS requires finite - offers`), then the scalar call's argument checks. After all actions pass, check ledger usability - and every action's mutable state under the gate, in list order. Only then compute anything. An - error of the computation (a loss cycle that does not settle, a solver or forwarding size limit, - an allocation failure) publishes nothing. + empty list checks ledger usability under the gate before returning `[]`. Each action's argument + checks run in list order: `list policy belongs to another ledger`, `duplicate policy in list`, the + SIMULTANEOUS rules (`SIMULTANEOUS does not accept Place`, `SIMULTANEOUS Replace requires + ShortestPaths EQUAL or WEIGHTED, or Pinned`, `SIMULTANEOUS requires admission=LOSSY`, + `SIMULTANEOUS requires finite offers`), then the scalar call's argument checks. After all actions + pass, check ledger usability and every action's mutable state under the gate, in list order. Only + then compute anything. An error of the computation (a loss cycle that does not settle, a solver or + forwarding size limit, an allocation failure) publishes nothing. ```python # Two ECMP demands of 10 on one edge of 10, at the same time and one after the other. @@ -2164,6 +2625,104 @@ takes it all. In the second list both entries report the residual after the whol its own boundary: a's source reaches nothing beyond its full edge 0, b's reaches node 2, whose exit is full. +### Configuration and call errors + +These are the checks of a configuration and of a call, with their texts, in the order they run. +The first that fails is reported, before any work and with nothing changed, a zero offer included. +[Exception classes](#exception-classes) gives the rule for `TypeError` and `ValueError`. + +**At construction** (`TypeError` unless stated): + +- An unknown keyword (also every field that belongs to another model, such as `allocation` on + `FlowPolicyConfig` or `source_allocation` on `DistributedTE`), a missing required argument + (`routing`, `tunnel_count`, `CentralizedTE`'s `source_allocation`, `program`), `None` where none + is allowed, and a value of the wrong type raise `TypeError` before any policy exists. +- A bool field (and a bool search option) takes only a `bool` or a `numpy.bool_`, known by its + type: `multipath=None`, `multipath=1` and an object with `__bool__` are `TypeError`. +- An integer field of a configuration value (`TunnelCount` `per_head`, `AbsoluteCost` `cost`, + `min_unreserved_bandwidth`, a `RouteDefinition`'s `head` and `weight`) given a value of another + type raises `TypeError` (`TunnelCount per_head must be an integer (got bool)`); an integer + outside 64 bits raises `ValueError` (`TunnelCount per_head = is out of range [...]`). +- An `edge_weights` that is not a 1-D sequence of integers (a scalar, a string, a 2-D array, a + bool or float array, a bool or float entry) raises `TypeError` + (`edge_weights[0] must be an integer (got bool)`); an entry beyond 64 bits raises + `ValueError('edge_weights[] must be an integer in [0, 2^62)')`. +- `source_weights` is converted as `edge_weights` is, in three passes over the whole vector, each + reporting its first defect. First the shape: an array of another rank, a string, bytes or a + non-sequence, then an entry that is itself a sequence. Then the entry types: + `source_weights[] must be an integer (got )` (`TypeError`). Last, an integer that does + not fit in signed 64 bits: `source_weights[] must be an integer in [0, 2^62)` (`ValueError`; + an unsigned array is checked like any other). So `[1.5, [1]]` fails on entry 1's shape, and + `[2**64, 1.5]` on entry 1's type. Any sequence of integers is accepted, a `range` or a tuple + too. + +**When a policy or an evaluator uses the configuration** (`ValueError`). The model matrix, in the +order checked: + +1. the enumeration values (`admission`, then the model's `allocation`, `source_allocation`, + `weight_basis`, `tie_break`), each `: is not a value of ` (reachable with a + value built from an integer); +2. the route allocation and the source allocation: first `source_allocation=WEIGHTED requires + CentralizedTE without tunnel_count`; then `ShortestPaths with EQUAL or WEIGHTED requires + source_allocation=EQUAL`; for T2, `CentralizedTE with tunnel_count and several sources requires + source_allocation=EQUAL` (`OPTIMIZED` with more than one input source, counted after removing + repeats and before any Eligibility; with one source it is the same calculation as `EQUAL`); +3. the admission: `ShortestPaths OPTIMIZED requires admission=LOSSLESS`; `CentralizedTE without + tunnel_count requires admission=LOSSLESS`; +4. the route choice: `ShortestPaths tie_break requires multipath=False or parallel_edges=False` (a + `HIGHER_*` rule with every route and every parallel edge kept, also for `OPTIMIZED`, whose route + the rule selects); then the **pooled single-path rule**: `ShortestPaths with multiple input + sources requires tie_break=FEWER_HOPS when multipath=False` (more than one input source, counted + after removing repeats and before any Eligibility: a bottleneck choice could differ per source + at a router the sources share); +5. `prefer_headroom requires tunnel_count`; +6. the weights: `weight_basis requires allocation=WEIGHTED`; `weight_basis=EXPLICIT requires + edge_weights`; `edge_weights require weight_basis=EXPLICIT`; for CentralizedTE, + `source_allocation=WEIGHTED requires source_weights` and `source_weights require + source_allocation=WEIGHTED`; +7. last, a cache given to a model that does not read one: ` does not use ShortestPathCache` (only `ShortestPaths` reads a `ShortestPathCache`). + +Then each model's own fields: the tunnel count in `[1, 10000]` (`tunnel count must be in [1, +10000]`; `TunnelCount(per_head)` itself takes any 64-bit integer); for T1 an "up to" count +(`DistributedTE requires an exact tunnel count`), then the ceiling (`cost_ceiling AbsoluteCost +cost must be >= 0 (got )`, `cost_ceiling CostStretch factor must be >= 1 (got /)`), then +`min_unreserved_bandwidth must be an integer in [0, 2^62)`; `edge_weights`' length and entries +(`edge_weights: expected entries`, `edge_weights[] must be an integer in [0, 2^62)`). +Then `source_weights`: its length against the graph's node count +(`source_weights: expected entries`), then every entry in node id order +(`source_weights[] must be an integer in [0, 2^62)`). Each weight is bounded; their sum may +exceed 64 bits. + +**`FlowPolicy` construction**, in this order: + +1. the endpoint sets (empty, out of range, the lowest node in both); +2. the graph of each object the policy is given: the `Eligibility` (`foreign Eligibility: built + for another graph`), the program (`program belongs to another graph`), the support (`support + belongs to another graph`, with or without a tunnel count, an empty support included), the + `ShortestPathCache` (`foreign ShortestPathCache: bound to another graph`), the black holes + (`black_holes belongs to another graph`); +3. the model matrix and the models' fields above; +4. the tunnel limit (T1, T2: the roster's heads times the tunnel count, for "up to" the largest + count, is at most 2^30 - 1: `tunnel limit exceeded: heads x tunnels > 1073741823`; no + tunnel is made at construction); +5. `Pinned`'s endpoints (`program endpoints do not match policy endpoints`; any number of each). + +**Calls.** + +- `evaluate` and `replace` check the offer (`offer must be an integer in [0, 2^62) or permitted + +inf`), then a Lossy `+inf` (`LOSSY forwarding requires a finite offer`), then the design + demand: the routing (` does not accept design_demand`, the model `ShortestPaths`, + `CentralizedTE` or `Pinned`), its domain (`design_demand must be an integer in [0, 2^62) or + permitted +inf`), its finiteness for T1 (`DistributedTE requires a finite design demand`, also + for an infinite offer without a design). +- `forward` checks, in order: `Pinned forwards with replace`; the offer; a Lossy `+inf` + (`LOSSY forwarding requires a finite offer`, as for `evaluate`, `replace` and Lossy `Pinned`); + the black holes' type and graph (`black_holes belongs to another graph`); then, under the ledger + gate, `forward requires an installed program` (also after `remove()`). +- `place`'s checks are in [the placement call](#the-placement-call), and a list's in + [several demands at once](#several-demands-at-once). + ## 8. Failures, threads and lifetimes **In plain words.** A call either does everything or changes nothing: if it fails, for any @@ -2206,28 +2765,27 @@ building calls and admit frozen readers together. and take no gate: graph, mask, route, program, configuration and result fields, `policy.config`, cache `graph_uid()` and `stats()`. Each statistics field is read atomically, without promising a consistent snapshot of all fields. -- **Call phases.** Convert and copy inputs, pin dependencies and check every argument and immutable - object in the first pass's order. Python conversions and protocols keep the GIL; linear checks of - a just-converted argument may keep it too. Native checks that grow with the graph release it, - before any lease or gate: the tunnel-limit roster search in policy construction and the evaluators - (once per pair in a batch), and `from_routes`' walk of each supplied PredecessorDAG. `evaluate_pairs`' - workers and the other evaluators' main evaluation reuse the checked rosters; each deletion of - `evaluate_edge_failures` searches under its own mask. Publishing calls also allocate and register their fixed Python - results here: a policy, a `PlacementResult`, a list of n results, or a `SensitivityResult`. - Release the GIL, acquire at most one cache lease, then the ledger gate. Check mutable state, - compute privately, join workers and publish without allocation or failure. Frozen hits publish - last, inside the lease. Release every gate and lease before reacquiring the GIL to return or - translate an exception. Reads, searches and factories wrap their owned native snapshots after - unlocking. Python conversions and protocols execute with no native lock held. +- **Python and the native locks.** Python conversions and callbacks (an argument's `__index__`, + `__eq__`, `__hash__`, `repr`) run with no native lock held. Waiting for a ledger gate or a cache + lease releases the GIL, or detaches the thread state on free-threaded Python. Native checks that + grow with the input release the GIL too: the tunnel-limit roster search of policy construction and + of the evaluators (once per pair of `evaluate_pairs`), and `from_routes`' walk of each supplied + `PredecessorDAG`. A call takes at most one cache lease, then the ledger gate. +- **Results and publication.** A call that publishes (a scalar call, a list, an evaluator, a + policy's construction) builds every Python result object it returns before it changes + anything, so a failure there (`MemoryError`) never leaves a published change behind. A call that + publishes nothing (a read, a search, a factory) builds its result after releasing every lock, + from a copy it owns. - **Validation passes.** In the documented validation order, all argument and immutable checks precede all mutable-state checks. Thus an invalid offer or foreign black holes precede `forward requires an installed program`; a later invalid list action precedes an earlier action's epoch error. Installed programs, finite `place` calls after infinity, requested limits, cache mode, ledger usability and identity availability are checked under the gate or lease, in their documented order, action by action. No list action computes before both passes finish. -- **Free-threaded Python.** The cp314t build supports the same concurrency rules. It detaches its - Python thread state before waiting for a gate or lease. Step-one conversion still copies every - borrowed array; changing an argument concurrently with its conversion remains a caller race. +- **Free-threaded Python.** The cp314t build follows the same concurrency rules. It detaches its + Python thread state before waiting for a gate or lease. A call still converts its arguments and + copies every borrowed array before taking any lock; changing an argument object from another + thread while a call converts it is the caller's race. - **Lifetimes.** The graph outlives the ledger, the ledger outlives its policies; Python keeps the graph, ledger, Eligibility and cache alive while a policy needs them. - **Immutable values.** The configuration values (`FlowPolicyConfig`, the four models, @@ -2236,41 +2794,6 @@ building calls and admit frozen readers together. (`Place`, `Replace`, `Forward`) have read-only fields: no option object changes after it is built. A policy validates its configuration once and keeps that snapshot (`policy.config`); an evaluator validates and copies its options at call entry, and `apply_actions` its actions. -- **Exception classes.** One rule for the class of an input error, at every public entry - (constructors, search options, call arguments, evaluator options): a Python type the position - never takes is a `TypeError` (a bool, Python's or `numpy.bool_`, at any numeric position; a float - where only an integer is taken, `k=1.0` and `k=float('inf')` included; a string; `None` where none - is allowed; an object of another class; for a vector a non-sequence, a string, a nested entry, a - NumPy array of another rank or of a non-integer dtype, or an entry of a wrong type); an accepted - type whose value is outside its domain is a `ValueError` (out of range, beyond 64 bits, a wrong - length, NaN, `-inf`, a finite float where floats are taken only for `+inf`: an offer, a design - demand). The text is the same either way, and a text that covers both causes (`offer must be an - integer in [0, 2^62) or permitted +inf`, `a FlowId is a tuple (ledger uid, id)`, `each pair must - be (sources, destinations)`) takes the class of its cause. A NumPy integer is an integer, a NumPy - floating value a float; an int at or above `2^63` is an integer (a `ValueError` where its range is - bounded); a `fractions.Fraction` is taken only by `CostStretch`. `ValueError` also for an invalid - combination, a foreign object (a value of another graph, ledger or policy) or a call in the wrong - state; - `TypeError` for a field or option that does not exist (for example - `ShortestPaths(tunnel_count=ngc.TunnelCount(2))`), a missing required argument, `None` where - none is allowed, an argument of the wrong type (a bool field given anything but a `bool` or - `numpy.bool_`; an integer field or `edge_weights` of a configuration value given a non-integer), or an argument - that cannot be converted to its parameter's type. The non-integer number positions (a - `resolution` of `Graph`, `to_units` and `as_float`; `to_units`' values) take exactly an `int` - (not a bool), a `float`, a NumPy integer or a NumPy floating scalar, an `int` or `float` subclass - by its value (never through its own `__int__`, `__float__` or `__array__`), and for `to_units` - an array of an integer or floating dtype or a sequence of those scalars: a `Decimal`, a - `Fraction`, an object known by `__float__`, `__index__` or `__array__`, and a 0-d array as a - resolution are a `TypeError`. Every integer position, `as_float`'s amounts included, takes any - object with `__index__` (never a bool), read exactly. An integer beyond the float range - as a resolution is a value outside its domain (`ValueError: resolution must be a power of two in - [2^-32, 2^32]`); `to_units` refuses a bool entry beside numbers (`TypeError`, which NumPy would - read as a number; an all-bool sequence keeps its dtype text), and an integer too large for NumPy - beside numbers is a value (`ValueError`). Every converted value passes on unchanged any exception raised by the value's own conversion (its `__float__` or - `__index__`), whatever its class. `ShortestPathCacheMiss` for a miss in a frozen cache (its own - class, neither a `ValueError` nor a `RuntimeError`); `MemoryError` for an allocation failure - (everything rolled back); `RuntimeError` for an internal invariant failure. - ```python g = graph(4, [(0, 1, 10, 1), (1, 3, 10, 1), (0, 2, 2, 1), (2, 3, 2, 1)]) ledger = ngc.FlowLedger(g) @@ -2287,6 +2810,54 @@ except ValueError: ValueError; unchanged: 5 [3, 2, 3, 2] ``` +### Exception classes + +One rule for the class of an input error, at every public entry (constructors, search options, +call arguments, evaluator options): a Python type the position never takes is a `TypeError`; an +accepted type whose value is outside its domain is a `ValueError`. The text is the same either +way; a text that covers both causes (`offer must be an integer in [0, 2^62) or permitted +inf`, +`a FlowId is a tuple (ledger uid, id)`, `each pair must be (sources, destinations)`) takes the +class of its cause. + +| Position | Takes | `TypeError` | `ValueError` | +| --- | --- | --- | --- | +| an integer (a count, a node or edge id, an entry of an edge array, a FlowId part, `as_float`'s amounts) | any object with `__index__`, read exactly; a NumPy integer; an `int` at or above `2^63` is an integer | a bool (Python's or `numpy.bool_`); a float, `k=1.0` and `k=float('inf')` included; a string; `None` where none is allowed; an object of another class | out of range; beyond 64 bits where the range is bounded | +| an offer, a design demand | an integer, or `float('inf')` where the call allows it | a bool, a string, `None` where one is required, another non-number | a finite float, NaN, `-inf`, an integer out of range, `+inf` where the call refuses it (an evaluator's `offer`) | +| a non-integer number: a `resolution` (`Graph`, `to_units`, `as_float`) and `to_units`' values | exactly an `int` (not a bool), a `float`, a NumPy integer or floating scalar, an `int` or `float` subclass by its value (never through its own `__int__`, `__float__` or `__array__`); for `to_units` also an array of an integer or floating dtype or a sequence of those scalars | a `Decimal`, a `Fraction`, an object known by `__float__`, `__index__` or `__array__`, a 0-d array as a resolution; a bool entry beside numbers in `to_units` (NumPy would read it as a number; an all-bool sequence keeps its dtype text) | NaN, an infinity, a negative amount, a result at or above `2^62` units, a resolution that is not a power of two in `[2^-32, 2^32]` (an integer beyond the float range included: `resolution must be a power of two in [2^-32, 2^32]`), an integer too large for NumPy beside numbers | +| a bool field or option | a `bool` or a `numpy.bool_` | anything else | - | +| a vector | a 1-D sequence or NumPy array of integers | a non-sequence, a string, a nested entry, a NumPy array of another rank or of a non-integer dtype, an entry of a wrong type | a wrong length, an entry out of range | +| a `fractions.Fraction` | only by `CostStretch` ([cost ceilings](#cost-ceilings-and-the-exact-stretch)) | everywhere else | - | + +The other classes: + +- `ValueError` also for an invalid combination, a foreign object (a value of another graph, + ledger or policy) or a call in the wrong state. +- `TypeError` also for a field or option that does not exist (for example + `ShortestPaths(tunnel_count=ngc.TunnelCount(2))`), a missing required argument, an argument + that cannot be converted to its parameter's type, a bool field given anything but a `bool` or + `numpy.bool_`, and an integer field or `edge_weights` of a configuration value given a + non-integer. +- Every converted value passes on unchanged any exception raised by the value's own conversion + (its `__float__` or `__index__`), whatever its class. +- `ShortestPathCacheMiss` for a miss in a frozen cache (its own class, neither a `ValueError` nor + a `RuntimeError`); `MemoryError` for an allocation failure (everything rolled back); + `RuntimeError` for an internal invariant failure and for an exhausted identity counter. + +### Limits that refuse a call + +Each of these raises before anything changes. + +| Limit | What it counts | Error | +| --- | --- | --- | +| a flow solve (`CentralizedTE` routing, the `OPTIMIZED` allocation and the evaluators that use them) | at most `INT32_MAX - 2` nodes, and at most `2^30 - 1` edges, sources and destinations together. A `CentralizedTE` solve counts the graph's nodes, the eligible edges, the roster sources and the eligible destinations; a `ShortestPaths` `OPTIMIZED` solve counts the nodes of its route's edges and endpoints, those edges, its sources and its destinations | `ValueError('flow solver node limit exceeded')`, `ValueError('flow solver arc limit exceeded')` | +| a `LOSSY` forwarding | each at most `2^31 - 1`, checked in this order: `entry` (the forwarded program entries), `occurrence` (every link visit of every entry: a tunnel's path length, a split route's member links), `router` (the routers of split routes), `event` (the links that can drop plus the routers, counted on the actual traffic, each demand's stopped at its own black holes) and `dependency` (the arcs between events). A list of several demands counts its one joint network, every participant together | `ValueError('forwarding limit exceeded: > 2147483647')` with the exact count `` | +| cumulative counters (requests, `offered`, drops) | below `2^127` ([section 1](#the-conversion-exactly)) | `ValueError(' limit exceeded')` | +| policy identifiers of a ledger | at most `2^63 - 1` | `RuntimeError('policy identity limit exceeded')` | +| FlowId counters of a ledger | at most `2^63 - 1`; a publication's new records counted together, a list's included | `RuntimeError('record identity limit exceeded')` | +| identities of graphs, ledgers and masks in the process | at most `2^63 - 1` (0, the all-allowed mask's, is never issued) | `RuntimeError('object identity limit exceeded')` | + +Only graphs of billions of nodes or about a billion edges reach the flow-solve limits. + ## 9. The shortest-path cache **In plain words.** Many placements need the same static shortest-path DAG toward the same @@ -2309,9 +2880,10 @@ error). would have dropped is still available when its residual makes it the right one. - **Who reads it.** `ShortestPaths` policy construction reads the cache (keyed by its destination set, reverse direction, and Eligibility uid) and retains the support DAG. Later scalar calls and - lists use that retained support without a cache lease. The evaluators read their supplied cache when they run a `ShortestPaths` - configuration. The other models do not read it and reject a supplied cache (`ValueError`, for - example `CentralizedTE does not use ShortestPathCache`), as the last check of the model matrix. + lists use that retained support without a cache lease. The evaluators read their supplied cache + when they run a `ShortestPaths` configuration. The other models do not read it and reject a + supplied cache (`ValueError`, for example `CentralizedTE does not use ShortestPathCache`), as the + last check of the model matrix. | Operation | Building | Frozen | | --- | --- | --- | @@ -2365,6 +2937,11 @@ except ngc.ShortestPathCacheMiss: ShortestPathCacheMiss; misses = 2 ``` +Both pairs go to destination 3, so they read one key (destination 3, reverse search, the +all-allowed Eligibility). Building, the first pair misses and fills it and the second hits: 1 hit, +1 miss. Frozen, both pairs hit: 3 hits. Destination 4 has no entry, so the frozen cache raises and +counts one more miss. + ## 10. Evaluators **In plain words.** The evaluators answer questions about a model without touching your ledgers. @@ -2411,53 +2988,51 @@ on a ledger with that load. The model in these texts is the class name, T2 included. - **`evaluate_demand(graph, sources, destinations, options)`** evaluates a `FlowPolicy` with `options.config` on a fresh ledger of the graph and returns its `PlacementResult`; it commits - nothing anywhere. The exact maximum flow is the configuration - `CentralizedTE(source_allocation=OPTIMIZED)`: its result carries the marginal cost curve and, - with `OutputOptions(min_cut=True)`, the minimum cut. With `EQUAL` source allocation it is the - largest total whose equal shares all fit. + nothing anywhere. Without an offer (the uncapped question) the configuration + `CentralizedTE(source_allocation=OPTIMIZED)` gives the exact maximum flow: its result carries the + marginal cost curve and, with `OutputOptions(min_cut=True)`, the minimum cut. A finite offer + below the maximum stops the solve there, with no cut ([the result](#the-result)). With `EQUAL` + source allocation it is the largest total whose equal shares all fit. - **`evaluate_pairs(graph, pairs, options, per_pair_eligibility=None, workers=None)`** runs - `evaluate_demand` for each `(sources, destinations)` pair and returns the results in pair - order. Nothing is shared between pairs (no reservations, no capacity): the results are - independent capacities, not allocations that coexist; demands that share capacity are policies - on one ledger. Pair `i` uses `options.eligibility` intersected with `per_pair_eligibility[i]` - (entries may be `None`; a given list has one entry per pair). All checks finish before evaluation workers start: first the arguments (the worker count, the graph of `options.eligibility` and - of the cache, `Pinned`, which is rejected because a program fixes its endpoints (`evaluate_pairs does not accept - Pinned`), the configuration, the offer and design rules above, then the length of `per_pair_eligibility`), then each - pair completely (its endpoint sets, their overlap, its Eligibility's graph, the pooled single-path rule of - [section 7](#configuration), T2's several-sources rule and, for the tunnel models, the tunnel limit for its sources) - in pair order, so the error of the lowest failing pair is the one raised. A supplied building cache's - `workers == 1` rule reads the cache's mode and comes last, under the cache's lease. An empty batch returns `[]`. + `evaluate_demand` for each `(sources, destinations)` pair and returns the results in pair order. + Nothing is shared between pairs (no reservations, no capacity): the results are independent + capacities, not allocations that coexist; demands that share capacity are policies on one ledger. + Pair `i` uses `options.eligibility` intersected with `per_pair_eligibility[i]` (entries may be + `None`; a given list has one entry per pair). All checks finish before evaluation workers start: + first the arguments (the worker count, the graph of `options.eligibility` and of the cache, + `Pinned`, which is rejected because a program fixes its endpoints (`evaluate_pairs does not accept + Pinned`), the configuration, the offer and design rules above, then the length of + `per_pair_eligibility`), then each pair completely (its endpoint sets, their overlap, its + Eligibility's graph, the pooled single-path rule of [section 7](#configuration), T2's + several-sources rule and, for the tunnel models, the tunnel limit for its sources) in pair order, + so the error of the lowest failing pair is the one raised. A supplied building cache's `workers == + 1` rule reads the cache's mode and comes last, under the cache's lease. An empty batch returns + `[]`. - **`evaluate_edge_failures(graph, sources, destinations, options, workers=None)`** returns a `SensitivityResult`: `baseline` (the result of `evaluate_demand`, with the requested outputs) and `entries`, one `SensitivityEntry(edge, delivery_reduction)` per candidate edge, in ascending EdgeId. - - **Candidates.** With unrestricted `CentralizedTE` and `OPTIMIZED` source allocation: the edges - that carry flow in the baseline (removing an edge without flow keeps the baseline feasible, so - the delivery stays, at any offer). With every other configuration, `EQUAL` source allocation - included: every allowed edge, - whatever its capacity (an edge of capacity 0 can carry a route and keep a source in the - roster, so deleting it can change the result either way). An edge without an entry has - reduction 0. - - **`delivery_reduction`** is `baseline.delivered` minus the delivery of `evaluate_demand` with - that edge also excluded, at the same offer and design, in units, signed and never rounded or - thresholded. It is not the traffic the deleted edge carried. A negative value means the model - carries more without the edge (for example, equal splitting no longer sends a share down a - thin path, or a source behind it no longer holds the equal allocation back). Unrestricted - `CentralizedTE` with `OPTIMIZED` source allocation, when its baseline is a maximum flow (no - offer, or an offer above what it delivers), obtains the same delivery reduction as a fresh solve through - exact residual certificates or the first repair from a private baseline copy. A positive-flow - saturated edge across residual strongly connected components loses exactly its flow; other - edges lose their flow minus the amount the first repair can reroute. The intermediate amounts - may violate conservation and are never published or used as a new baseline. Each actual repair - resets independently. These shortcuts preserve the complete baseline and the candidate entries/order. - At an offer the baseline delivers (the offer binds, perhaps below the maximum), and with - `EQUAL` source allocation or a support, each deletion is solved afresh. T1 sets up again for the same design - under each deletion; T2 redoes its sizing, count choice and objectives, on the same - supplied support when there is one. `Pinned` replays the same program under each deletion (a - repaired fixed-route question, not a new optimum and not stale forwarding): deleting an edge of - a tunnel fails that tunnel. `ShortestPaths` gives reduction 0 without recomputation to an edge - outside the static shortest-path support reachable from the roster sources (no route can use - it); these are equivalent forms of the same definition. + - **Candidates.** The edges that get an entry depend on the configuration; an edge without an + entry has reduction 0: + + | Configuration | Edges with an entry | + | --- | --- | + | unrestricted `CentralizedTE` with `OPTIMIZED` sources | the edges that carry flow in the baseline: removing any other edge keeps the baseline feasible, so the delivery stays, at any offer | + | every other configuration (`EQUAL` or `WEIGHTED` sources, a support, `ShortestPaths`, T1, T2, `Pinned`) | every allowed edge, whatever its capacity: an edge of capacity 0 can carry a route and keep a source in the roster, so deleting it can change the result either way. `ShortestPaths` gives an edge outside the static shortest-path support reachable from the roster sources reduction 0 without recomputing (no route can use it) | + + - **`delivery_reduction`** is `baseline.delivered` minus the delivery of a fresh + `evaluate_demand` with that edge also excluded, at the same offer, design and other options, + in units, signed and never rounded or thresholded. It is not the traffic the deleted edge + carried. A negative value means the model carries more without the edge (for example, equal + splitting no longer sends a share down a thin path, or a source behind it no longer holds the + equal allocation back). The test suite compares every reduction of the optimized controller + with such a fresh evaluation, on small networks whose expected values are written out in the + tests. + - **Each deletion.** T1 sets up again for the same design under each deletion; T2 redoes its + sizing, count choice and objectives, on the same supplied support when there is one. + `CentralizedTE` with a support solves each deletion afresh. `Pinned` replays the same program + under each deletion (a repaired fixed-route question, not a new optimum and not stale + forwarding): deleting an edge of a tunnel fails that tunnel. - **Cache.** Each deletion uses a new Eligibility uid, so a `ShortestPaths` deletion that has to be placed raises `ShortestPathCacheMiss` through a frozen cache. The other models reject a supplied cache. Private caches are cleared between candidates. @@ -2472,12 +3047,12 @@ on a ledger with that load. The variables only supply defaults; they never override an explicit `workers`. The C++ functions take the worker count as an explicit argument. -- **Failures** follow [section 8](#8-failures-threads-and-lifetimes): a failed evaluator call - raises (also a solve beyond the flow core's size limit of [section 2](#2-the-graph), with +- **Failures** follow [section 8](#8-failures-threads-and-lifetimes): a failed evaluator call raises + (also a solve beyond the flow core's size limits of [section 8](#limits-that-refuse-a-call), with `CentralizedTE` or `OPTIMIZED`), and a failed deletion fails the whole call (the exception of the lowest failing candidate; no entry is returned); a supplied building cache keeps the entries of - the lookups that succeeded before the failure; a supplied frozen cache's statistics are - unchanged, except one miss when the call raises `ShortestPathCacheMiss`. + the lookups that succeeded before the failure; a supplied frozen cache's statistics are unchanged, + except one miss when the call raises `ShortestPathCacheMiss`. ```python g = graph(4, [(0, 1, 10, 1), (1, 3, 10, 1), (0, 2, 2, 1), (2, 3, 2, 1)]) @@ -2495,16 +3070,21 @@ CentralizedTE 12 [(0, 10), (1, 2), (2, 10), (3, 2)] Under equal splitting the thin path (edges 1 and 3) holds the whole diamond back to 5 units; without it the wide path alone carries 10, a reduction of -5. -A failure study at a fixed offer, against the first-hop experiment: two parallel links of 10, ECMP, -Lossy. With an offer of 4 every network delivers 4; without an offer the experiment injects each -remaining link's capacity, 20 before a deletion and 10 after, a different question: +A failure study at a fixed offer, against the [first-hop +experiment](#5-route-allocations-and-admission): two parallel links, ECMP, Lossy. On links of 10 and +10, an offer of 4 is delivered by every network; without an offer the experiment injects each +remaining link's capacity, 20 before a deletion and 10 after, a different question. On links of 4 +and 10 without an offer, the experiment delivers 14 and the deletions leave 10 or 4: reductions 4 +and 10. With an offer of 12 each link is offered 6, the 4-unit link drops 2 and the baseline +delivers 10; the deletions deliver 10 and 4: reductions 0 and 6: ```python -g = graph(2, [(0, 1, 10, 1), (0, 1, 10, 1)]) lossy = config(ngc.ShortestPaths(), admission=ngc.Admission.LOSSY) -for offer in (4, None): - s = ngc.evaluate_edge_failures(g, 0, 1, ngc.EvaluationOptions(lossy, offer=offer)) - print(offer, s.baseline.call_delivered, [e.delivery_reduction for e in s.entries]) +for capacities, offers in (((10, 10), (4, None)), ((4, 10), (None, 12))): + g = graph(2, [(0, 1, c, 1) for c in capacities]) + for offer in offers: + s = ngc.evaluate_edge_failures(g, 0, 1, ngc.EvaluationOptions(lossy, offer=offer)) + print(capacities, offer, s.baseline.call_delivered, [e.delivery_reduction for e in s.entries]) try: ngc.evaluate_demand(g, 0, 1, ngc.EvaluationOptions(lossy, offer=float("inf"))) except ValueError as error: @@ -2512,8 +3092,10 @@ except ValueError as error: ``` ```text -4 4 [0, 0] -None 20 [10, 10] +(10, 10) 4 4 [0, 0] +(10, 10) None 20 [10, 10] +(4, 10) None 14 [4, 10] +(4, 10) 12 10 [0, 6] offer must be an integer in [0, 2^62) ``` diff --git a/python/netgraph_core/__init__.py b/python/netgraph_core/__init__.py index f75576d..0818657 100644 --- a/python/netgraph_core/__init__.py +++ b/python/netgraph_core/__init__.py @@ -9,8 +9,9 @@ - Route choice and placement settings: ``RouteTieBreak``, ``RouteAllocation``, ``Admission``, ``SourceAllocation``, ``WeightBasis``. - The ledger of placed traffic: ``FlowLedger`` and its ``FlowRecord`` snapshots. -- Forwarding programs: ``ForwardingProgram`` (with its ``Tunnel`` entries and - ``ForwardingProgram.from_routes`` over ``RouteDefinition`` values), ``TunnelStatus``. +- Forwarding programs: ``ForwardingProgram`` (with its ``Tunnel`` entries, + ``ForwardingProgram.from_routes`` over ``RouteDefinition`` values and + ``ForwardingProgram.from_dag``), ``TunnelStatus``. - The policy engine: ``FlowPolicy``, ``FlowPolicyConfig``, the routings ``ShortestPaths``, ``DistributedTE`` (T1, with ``TunnelCount``), ``CentralizedTE`` (with ``tunnel_count``: T2), ``Pinned``, and ``PlacementResult`` (with its ``SourceFlow`` and ``TunnelFlow`` rows and its ``TunnelPlan``), @@ -22,7 +23,14 @@ - The searches: ``spf`` (``Direction``, ``SpfOptions``, ``SpfResult``, ``UNREACHABLE``), ``ksp`` (``KspOptions``), ``resolve_to_paths``. -``_netgraph_core`` also holds a private entry of the flow core, never re-exported here. +Every public call either completes or raises and leaves the library's state as it was, with two +limits: (1) pybind11 does not check every allocation when it constructs a bound object from +Python, parses the arguments of a call that passes keywords, or converts an attribute or a +returned value into a new Python object outside the library's checked result construction; +running out of memory exactly there may crash the process, with the library's state unchanged. +(2) A ``ShortestPathCache`` passed to the call: a building one keeps the complete entries and +statistics of the lookups that succeeded before the call failed; a frozen one counts one miss +when the call raised ``ShortestPathCacheMiss``. docs/semantics.md states every rule exactly. """ from importlib.metadata import version as _version diff --git a/python/netgraph_core/__init__.pyi b/python/netgraph_core/__init__.pyi index 09d06cd..72b4b7c 100644 --- a/python/netgraph_core/__init__.pyi +++ b/python/netgraph_core/__init__.pyi @@ -10,8 +10,9 @@ to this file (``py.typed`` marks the package as typed). - Route choice and placement settings: ``RouteTieBreak``, ``RouteAllocation``, ``Admission``, ``SourceAllocation``, ``WeightBasis``. - The ledger of placed traffic: ``FlowLedger`` and its ``FlowRecord`` snapshots. -- Forwarding programs: ``ForwardingProgram`` (with its ``Tunnel`` entries and - ``ForwardingProgram.from_routes`` over ``RouteDefinition`` values), ``TunnelStatus``. +- Forwarding programs: ``ForwardingProgram`` (with its ``Tunnel`` entries, + ``ForwardingProgram.from_routes`` over ``RouteDefinition`` values and + ``ForwardingProgram.from_dag``), ``TunnelStatus``. - The policy engine: ``FlowPolicy``, ``FlowPolicyConfig``, the routings ``ShortestPaths``, ``DistributedTE`` (T1, with ``TunnelCount``), ``CentralizedTE`` (with ``tunnel_count``: T2), ``Pinned``, and ``PlacementResult`` (with its ``SourceFlow`` and ``TunnelFlow`` rows and its ``TunnelPlan``), @@ -23,7 +24,14 @@ to this file (``py.typed`` marks the package as typed). - The searches: ``spf`` (``Direction``, ``SpfOptions``, ``SpfResult``, ``UNREACHABLE``), ``ksp`` (``KspOptions``), ``resolve_to_paths``. -``_netgraph_core`` also holds a private entry of the flow core, never re-exported here.""" +Every public call either completes or raises and leaves the library's state as it was, with two +limits: (1) pybind11 does not check every allocation when it constructs a bound object from +Python, parses the arguments of a call that passes keywords, or converts an attribute or a +returned value into a new Python object outside the library's checked result construction; +running out of memory exactly there may crash the process, with the library's state unchanged. +(2) A ``ShortestPathCache`` passed to the call: a building one keeps the complete entries and +statistics of the lookups that succeeded before the call failed; a frozen one counts one miss +when the call raised ``ShortestPathCacheMiss``. docs/semantics.md states every rule exactly.""" from __future__ import annotations @@ -95,8 +103,8 @@ __version__: str class RouteAllocation: """ - How traffic spreads over the routes (ShortestPaths's kernel; the interior split of supplied PredecessorDAG - routes, EQUAL or WEIGHTED). + How a demand's traffic is split at every router of its routes (ShortestPaths; also the interior split + of supplied PredecessorDAG routes, EQUAL or WEIGHTED). OPTIMIZED: the minimum-cost flow core over the routes (a controller restricted to them), re-solved over the free capacity plus the policy's own allocation (it may move its own earlier placement, never another's). WEIGHTED (WCMP, weighted-cost multipath): every node splits in proportion to @@ -973,12 +981,13 @@ class RouteDefinition: class ForwardingProgram: """ An immutable value: one demand's routes and integer weights. sources and destinations (the normalized - sets); tunnels: the path entries in ascending index (split routes are not listed); source_weights: the + sets); tunnels: the path entries in ascending entry_id (split routes are not listed); source_weights: the captured weights ((source, weight) for every roster source, ascending): optimized controllers' solved supplies, weighted CentralizedTE's declared weights, or None for equal sources (round robin). Each head splits its share by highest averages over its entries' weights; identical routes are never merged. ShortestPaths and CentralizedTE produce one (FlowPolicy.program, PlacementResult.program), and so do T1 and T2 (their tunnels); - from_routes builds one from given routes; Pinned forwards one. No public constructor. + from_routes builds one from given routes and from_dag one shared hop-by-hop program on a DAG; Pinned + forwards one. No public constructor. """ def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... @@ -1069,7 +1078,7 @@ class ForwardingProgram: @property def tunnels(self) -> tuple[Tunnel, ...]: """ - the program's tunnels (Tunnel), ascending index + the program's tunnels (Tunnel), ascending entry_id """ class AbsoluteCost: @@ -1094,7 +1103,8 @@ class AbsoluteCost: class CostStretch: """ Cost ceiling: a path qualifies when cost * d <= n * base, exactly, where n/d is the factor as - one reduced fraction and base the static shortest cost under the Eligibility. + one reduced fraction and base the static shortest cost under the Eligibility (T1: the smallest + over all roster heads). """ def __eq__(self, arg0: typing.Any) -> bool: ... @@ -1154,8 +1164,9 @@ class TunnelCount: class ShortestPaths: """ Routing like IGP forwarding (OSPF, IS-IS routers) on each roster source's static shortest-path - DAG (read from the ShortestPathCache; the route choice is applied at the epoch's first positive call), - fixed for the epoch; one record per roster source. EQUAL (ECMP, the default) and WEIGHTED + DAG (read from the ShortestPathCache; the route choice is applied when the program is prepared: + a positive place of an epoch without one, or any replace or evaluate), fixed for the epoch; + one record per roster source. EQUAL (ECMP, the default) and WEIGHTED (WCMP) pool the sources (source allocation EQUAL): where their routes meet, a router splits their traffic once. OPTIMIZED is a controller on the union of those routes (source allocation OPTIMIZED by default, or EQUAL). An edge of capacity 0 stays in the DAG: EQUAL still sends it @@ -1235,7 +1246,7 @@ class DistributedTE: """ T1: every head sets up its own strict tunnels by CSPF, no controller (like RSVP-TE head ends). The design volume D is split equally over the roster heads and each head's share equally over its - tunnel_count.per_head tunnels; in round order (round j, heads ascending: tunnel index j*H + i) each tunnel + tunnel_count.per_head tunnels; in round order (round j, heads ascending: entry_id j*H + i) each tunnel keeps the allowed links whose unreserved capacity (the ledger's, minus the holds of every other owner and of this setup's earlier tunnels) is at least max(request, min_unreserved_bandwidth) (a request of 0 with a minimum of 0 has no filter) and takes the shortest path in the tie_break's @@ -1299,31 +1310,33 @@ class DistributedTE: class CentralizedTE: """ - Routing: an ideal central controller that sees the whole network (with `tunnel_count`: T2, below). - Every positive call re-solves the minimum-cost flow of what the policy already delivers plus this - call's request (delivered() + offer; what an earlier call could not place is not requested - again) over the eligible graph, or exactly over `support` (a PredecessorDAG of the policy's graph, trimmed to the - walks from the sources to the allowed destinations under the Eligibility; every other edge - carries nothing), on the free capacity plus its own allocation (it may move its own traffic, - never another's). It takes no route choice. Its source_allocation is required: OPTIMIZED, the - controller chooses how much enters at each source; EQUAL: every roster source sends its - round-robin share of the largest total whose shares all fit; WEIGHTED: highest-averages shares - of declared source_weights, only without tunnels. Zero weights receive nothing; all-zero - roster weights end NO_ACTIVE_WEIGHT on a positive live call. The program saves declared weights - for weighted sources, solved supplies for optimized sources. Its program is the solve cut into - paths per source, each a tunnel weighted by its amount. A positive call on a network beyond the - flow core's int32 numbering raises ValueError (see FlowPolicy.place). - T2, CentralizedTE(source_allocation=..., tunnel_count=TunnelCount(N)) (no route choice either; with - support, every step uses only the support's edges allowed by the policy's mask): a controller (like - a PCE) lays out, for every live head (one reaching a destination over links with free capacity - >= 1; the other heads are dead and lose their share), N single-path tunnels with one common - whole-unit planned bandwidth: first as large as possible (U), then for a finite design no larger - than needed (u), then the cheapest routes, then with prefer_headroom=True the routes that leave - the most spare capacity, then one fixed unit-by-unit tie. TunnelCount(L, up_to=True): the smallest - common count k <= L whose program carries the live heads' design shares (else the largest - live-share score, then the smallest count); no promise of whole-demand lossless delivery. - Traffic splits equally over the heads and over each head's tunnels; planned bandwidth is never - held. + Routing: an ideal central controller that sees the whole network, or only a support DAG. It takes + no route choice, and its source_allocation is required. + Without tunnel_count: a positive place re-solves the minimum-cost flow of what the policy + already delivers plus this call's request (delivered() + offer; what an earlier call could not + place is not requested again); evaluate and replace solve their whole offer afresh, and forward + sends its offer over the installed paths without a solve. A solve runs over the eligible graph, + or exactly over `support` (a + PredecessorDAG of the policy's graph, trimmed to the walks from the sources to the allowed + destinations under the Eligibility; every other edge carries nothing), on the free capacity + plus its own allocation: it may move its own traffic, never another's. OPTIMIZED: the controller + chooses how much enters at each source. EQUAL: every roster source sends its round-robin share + of the largest total whose shares all fit. WEIGHTED: highest-averages shares of the declared + source_weights; zero weights receive nothing, and all-zero roster weights end NO_ACTIVE_WEIGHT + on a positive live call. The program is the solve cut into paths per source, each a tunnel + weighted by its amount; it keeps the declared weights for weighted sources and the solved + supplies for optimized ones. A positive call on a network beyond the flow core's int32 + numbering raises ValueError (see FlowPolicy.place). + With tunnel_count=TunnelCount(N) (T2; with support, every step uses only the support's edges + allowed by the policy's mask): a controller (like a PCE) lays out, for every live head (one + reaching a destination over links with free capacity >= 1; the other heads are dead and lose + their share), N single-path tunnels with one common whole-unit planned bandwidth: first as + large as possible (U), then for a finite design no larger than needed (u), then the cheapest + routes, then with prefer_headroom=True the routes that leave the most spare capacity, then one + fixed unit-by-unit tie. TunnelCount(L, up_to=True): the smallest common count k <= L whose + program carries the live heads' design shares (else the largest live-share score, then the + smallest count); no promise of whole-demand lossless delivery. Traffic splits equally over the + heads and over each head's tunnels; planned bandwidth is never held. """ def __init__( @@ -1450,9 +1463,10 @@ class OutputOptions: Optional outputs of a placement (all false by default; absent outputs are None): edge_flows (the policy's own allocation per edge after the call), residual and saturated_boundary_edges (the ledger's after the call), edge_reservations (the policy's own - strict holds per edge after the call; zeros for a model without holds), and min_cut (CentralizedTE with - the optimized source allocation, when its solve reached the maximum flow; None for every other - model, source allocation or call). + strict holds per edge after the call; zeros for a model without holds), and min_cut (unrestricted + CentralizedTE with the optimized source allocation, when the call's solve reached the maximum + flow; [] for an empty roster, place(0) excepted; None for every other model or source allocation, + for place(0) and for a forward with a nonempty roster). """ def __init__( @@ -1647,7 +1661,7 @@ class TunnelFlow: class TunnelPlan: """ The tunnel models' setup summary (read-only): tunnels_per_head (T2 up to: the chosen count), - design_demand (the design volume D in units), design_by_head ((head, RR(D, H, i)) for every + design_demand (the design demand D in units), design_by_head ((head, RR(D, H, i)) for every roster head in ascending NodeId) and total_reserved_bandwidth (T1's strict holds, counted once per up tunnel: the sum of their requests; 0 for T2). T2 only (None for T1): heads_with_capacity, insufficient_resolution (live heads exist but no whole unit per tunnel fits, U == 0: the @@ -1655,7 +1669,9 @@ class TunnelPlan: Fraction), max_bandwidth_per_tunnel (U), planned_bandwidth_per_tunnel (u), total_planned_bandwidth (K*u), total_tunnel_cost (the route-cost sum, can exceed 2^64), headroom_penalty (with prefer_headroom only) and max_lossless_offer (the program's lossless - maximum; a dead head's share blocks it). Exact ints. + maximum on the view it was planned on; a dead head's share blocks it). Exact ints. A plan + describes the computation that installed the tunnels: forward returns it unchanged, its + bounds not recomputed for the new offer, load or black holes. """ def __init__(self, _no_public_constructor: typing.Never, /) -> None: ... @@ -1707,7 +1723,8 @@ class TunnelPlan: @property def max_lossless_offer(self) -> int | None: """ - T2: F, the program's lossless maximum on the call's view (a dead head's share blocks it) + T2: F, the program's lossless maximum on the view it was planned on (a dead head's share blocks + it); forward keeps the plan unchanged """ @property @@ -1755,9 +1772,10 @@ class PlacementResult: NodeId), by_tunnel (one TunnelFlow per program tunnel, ascending entry_id; an alternative view, never added to by_source), total_cost (controllers: CentralizedTE and ShortestPaths OPTIMIZED; else None) and marginal_cost_curve (unrestricted CentralizedTE with the optimized source allocation only). - LOSSY: offered = source_drops + sum(edge_drops) + delivered. The rows sum to the totals, except for - LOSSY with an empty roster, where the whole offer is the demand's source drops and every row is - zero. Optional outputs, None unless requested: edge_flows, residual and edge_reservations + LOSSY: offered = source_drops + sum(edge_drops) + delivered. The rows sum to the totals, except, under + LOSSY, for an empty roster and for a forwarding whose remaining captured source weights are all 0 + (a controller program that sent nothing, or a mask that left only zero-weight heads): the whole + offer is then the demand's source drops and every row is zero. Optional outputs, None unless requested: edge_flows, residual and edge_reservations (int64[E]), saturated_boundary_edges, min_cut (they describe the same state; evaluate: the evaluated one). Amounts that accumulate are exact ints (they may exceed 64 bits). """ @@ -1779,7 +1797,7 @@ class PlacementResult: @property def by_tunnel(self) -> tuple[TunnelFlow, ...]: """ - one TunnelFlow per program tunnel, ascending index (empty without tunnels) + one TunnelFlow per program tunnel, ascending entry_id (empty without tunnels) """ @property @@ -1844,8 +1862,11 @@ class PlacementResult: def marginal_cost_curve(self) -> list[tuple[int, int]] | None: """ unrestricted CentralizedTE with the optimized source allocation: the marginal cost curve [(cost, units)] of the policy's - cumulative flow (a zero call reports it unchanged; None before the epoch's first positive - call); in ascending cost, delivering `units` more raised the minimum total flow cost by `cost` + flow as the call's solve computed it (a positive place: the cumulative flow; evaluate and replace, + a zero offer included: the whole offer); place(0) keeps the stored curve (None before the epoch's + first solve or forward; after a forward, None for a nonempty roster and [] for an empty one); + a forward with a nonempty roster solves nothing and reports None; with an empty roster every + call but place(0) reports []; in ascending cost, delivering `units` more raised the minimum total flow cost by `cost` per unit (more delivery can reroute earlier flow, so these are not the costs of the final paths). None for the other models and prescribed (EQUAL or WEIGHTED) sources """ @@ -1857,8 +1878,9 @@ class PlacementResult: reached the maximum flow: the minimum cut closest to the sources, every allowed edge leaving the nodes the roster sources reach in the residual network (free capacity plus the policy's own allocation), an edge with nothing free (capacity 0, or held by others) included, - ascending EdgeId; [] for an empty roster. None otherwise (another model, prescribed EQUAL or WEIGHTED sources, a - support, a call below the maximum, a zero call, forward) + ascending EdgeId; [] for an empty roster, place(0) excepted. None otherwise (another model, + prescribed EQUAL or WEIGHTED sources, a support, a solve stopped below the maximum, place(0), + a forward with a nonempty roster) """ @property @@ -1892,7 +1914,7 @@ class PlacementResult: def reservations_changed(self) -> bool: """ True when a tunnel's requested or reserved amount differs from the installed program's, by - index (an absent tunnel holds 0): only T1 sets it; forward and Pinned never do + entry_id (an absent tunnel holds 0): only T1 sets it; forward and Pinned never do """ @property @@ -2047,9 +2069,9 @@ class FlowPolicy: The placement engine for one demand, bound to its ledger at construction. A final Python class. Native computation releases the GIL; one ledger gate serializes calls and mutable reads. Every call (place, evaluate, replace, forward) is all-or-nothing: a failed call raises and leaves the ledger and the - policy as they were (with the two limits in the module docstring). remove() takes every flow of the - policy back out, clears its program and starts a new epoch (the request total starts again from 0); - replace and forward start one too. A policy dropped without remove() + policy as they were (with the two limits stated in the package docstring). remove() + takes every flow of the policy back out, clears its program and starts a new epoch (the request + total starts again from 0); replace and forward start one too. A policy dropped without remove() leaves its records in the ledger as orphans: readable, never changed again, cleared by FlowLedger.reset(). sources and destinations are one NodeId or a sequence; the two sets must not overlap. ValueError for invalid endpoints, configurations and requests and for objects of another @@ -2138,9 +2160,7 @@ class FlowPolicy: (also for 0). Requests add up within an epoch (from construction, the last remove(), replace() or forward()); after float('inf') any finite request is rejected, 0 included. A request of 0 places nothing and - reports the current state. ShortestPaths prepares its program at the epoch's first positive request; - with FEWER_HOPS or HIGHER_CAPACITY and EQUAL, CAPACITY or EXPLICIT weights the policy uses again the - program it prepared before (equal values; evaluate never keeps one, and remove still empties program). + reports the current state. ShortestPaths prepares its program at the epoch's first positive request. LOSSLESS admits the largest total in [admitted, admitted + offer] that the program carries with no loss (a refused unit is not offered again); LOSSY forwards the new round-robin (or captured-weight) injections, each head splitting its increment afresh (earlier drops are not offered again); a @@ -2184,7 +2204,7 @@ class FlowPolicy: Recompute from the policy's own released view and forward the full offer, published atomically -> PlacementResult: the old records and holds are retired (their ids never live again), new ones created, and a new epoch starts at this offer (delivery may go down: delivery_delta). ShortestPaths - prepares its routes again on that view (a static route choice uses its kept, equal program); a + prepares its routes again on that view; a controller re-solves; T1 sets its tunnels up again for the design and books their holds; T2 lays its tunnels out again for the design (planned bandwidth, never held); Pinned forwards its program. design_demand (T1 and T2: int units, or float('inf'); None: equal to @@ -2432,7 +2452,7 @@ class KspOptions: AbsoluteCost(c) with c >= 0, or CostStretch(n/d) with n/d >= 1 times the static shortest cost under the eligibility, compared exactly, residual ignored; inclusive); residual (int64 units per EdgeId, each in [0, edge_capacity_units]: edges with less than 1 unit are skipped, and the values - feed the availability; it is the only capacity filter, and without it an edge of capacity 0 is + feed the availability; it is the only capacity threshold, and without it an edge of capacity 0 is searched like any other); eligibility (None: everything allowed). A parallel_edges that is not a bool raises TypeError here; the other fields are validated by ksp, in the order its docstring gives. @@ -2484,7 +2504,7 @@ class KspOptions: ): """ the residual units per EdgeId as given (validated by ksp); None: no capacity filter; - priorities read static capacity + the tie scores read static capacity """ @property @@ -2503,7 +2523,7 @@ class SpfOptions: parallel_edges both True is rejected by spf; residual (int64 units per EdgeId, each in [0, edge_capacity_units]) makes the search skip edges with fewer than min_residual residual units (an integer >= 1; without a residual it has no effect) and supplies the availability: it is the - only capacity filter, and without it an edge of capacity 0 is searched like any other; + only capacity threshold, and without it an edge of capacity 0 is searched like any other; eligibility (None: everything allowed). A direction outside its enumeration raises ValueError here, a multipath or parallel_edges that is not a bool TypeError; the other fields are validated by spf, in the order its docstring gives. @@ -2566,7 +2586,7 @@ class SpfOptions: ): """ the residual units per EdgeId as given (validated by spf); None: no capacity filter; - priorities read static capacity + the tie scores read static capacity """ @property @@ -2633,8 +2653,8 @@ def apply_actions( transaction -> list[PlacementResult], one per action in input order, each the scalar call's fields for its policy. The whole list is validated first, then computed, then published once (one exchange of every policy's records, then their epochs): a failed call raises with the ledger and every - policy unchanged (with the two limits in the module docstring). A policy appears at most once, and - every policy belongs to ledger. + policy unchanged (with the two limits stated in the package docstring). A policy appears + at most once, and every policy belongs to ledger. mode ORDERED: each action runs in list order on a private working state exactly as its scalar call would on the state the earlier actions left (their carried load and holds); new records take FlowIds in list order. Earlier actions are served first: a reservation gives no protection. mode SIMULTANEOUS: @@ -2670,7 +2690,7 @@ def as_float( ) -> numpy.typing.NDArray[numpy.float64]: """ Units to physical value(s): the exact product x*q correctly rounded to binary64, nearest - with ties to even. x is any signed, unbounded integer: an int or NumPy integer gives a + with ties to even; exact for abs(x) <= 2^53. x is any signed, unbounded integer: an int or NumPy integer gives a float, an integer vector a float64 array. An int or NumPy integer, a subclass included, is never read as a sequence. An integer position accepts __index__, never a bool; other types raise TypeError. q is a power of two in [2^-32, 2^32] (float, NumPy @@ -2709,7 +2729,8 @@ def evaluate_demand( -> PlacementResult. LOSSLESS delivers up to a finite offer; LOSSY accounts for exactly that offer (ShortestPaths EQUAL/WEIGHTED LOSSY without an offer: the first-hop experiment). The options are checked as the EvaluationOptions docstring states. - The exact maximum flow is CentralizedTE(source_allocation=OPTIMIZED); with source_allocation=EQUAL, the largest + Without an offer, CentralizedTE(source_allocation=OPTIMIZED) gives the exact maximum flow (a finite offer below + it stops the solve there, with no cut); with source_allocation=EQUAL, the largest total whose round-robin source shares are all carried; with WEIGHTED (CentralizedTE without tunnel_count), the largest total whose highest-averages shares of source_weights are all carried. A supplied frozen cache raises ShortestPathCacheMiss @@ -2734,12 +2755,9 @@ def evaluate_edge_failures( other edge keeps the baseline feasible, at any offer); otherwise every allowed edge, whatever its capacity (an edge of capacity 0 can carry a route, so deleting it can change the result, and with the equal source allocation a deletion that removes a source from the roster can raise the total: a negative reduction). delivery_reduction = - baseline.call_delivered minus the call_delivered of evaluate_demand() without the edge, in signed - units, never thresholded. Two shortcuts give exactly that value. Unrestricted optimized CentralizedTE - whose baseline is a maximum flow (no offer, or an offer above what it delivers) reads each loss from - the baseline's residual network without a new solve: a saturated edge whose endpoints lie in different - strongly connected components loses its whole flow, any other its flow minus what can be rerouted - between its endpoints. At an offer the baseline delivers, each deletion is solved at the offer. ShortestPaths + baseline.call_delivered minus the call_delivered of a fresh evaluate_demand() without the edge, at the + same offer, design and other options, in signed units, never thresholded; it is not the traffic the + edge carried. ShortestPaths gives reduction 0 without placing to an edge outside the static shortest-path support reachable from the roster sources (no route can use it). CentralizedTE with a support solves every deletion afresh; Pinned replays the same program under each deletion. workers as evaluate_pairs @@ -2791,7 +2809,7 @@ def ksp( The k shortest simple source -> destination paths over the eligible edges (only those with residual >= 1 when a residual is given; an edge of capacity 0 is searched like any other) -> [(cost, Path)], each hop a single edge. Order: lowest cost; then, under a HIGHER_* tie_break only, the highest bottleneck - (the smallest tie value along the path); then fewest hops; then the smallest EdgeId + (the smallest edge score along the path); then fewest hops; then the smallest EdgeId sequence. The result is the first k paths of that order within the inclusive cost ceiling. A wrong type raises TypeError; structural, range and combination defects raise ValueError. Validated in this order before any work: source and @@ -2850,27 +2868,23 @@ def to_units( resolution: int | float | numpy.integer | numpy.floating, ) -> int: """ - Physical value(s) to units of resolution q. Each input becomes binary64 b: float32 widens - exactly; integers become the nearest double, ties to even. Return floor(b/q + 1/2), - evaluated exactly, never by floating addition of 1/2 or by reading the printed decimal. - Ties are b=(2n+1)*q/2, 0 <= n < 2^52; each gives n+1, never the even neighbour. Scaling - by q=2^k is exact while normal; underflow only affects values rounding to zero. Below - 2^52 scaled units the fractional comparison is exact; above it doubles are integral. + Physical value(s) to whole units of the resolution q: each input is read as its binary64 value b, + and b/q is rounded half up to an integer, exactly. Converted back, a result differs from b by at + most q/2 (+q/2 exactly at a tie, which goes up). + float32 widens exactly; integers become the nearest double, ties to even, so an integer above 2^53 + can change before the rounding (2^53+1 at q=1 gives 2^53). The result is floor(b/q + 1/2), + evaluated exactly, never by floating addition of 1/2 or by reading the printed decimal. Ties are + b=(2n+1)*q/2, 0 <= n < 2^52; each gives n+1, never the even neighbour. A scalar or 0-d array gives an int; a sequence or 1-d array gives an int64 array. Negative zero gives 0. NaN, infinity, negative values, an integer too large for NumPy and results at or above 2^62 units raise ValueError. A bool, string, wrong dtype/rank or type other than int, float or NumPy numbers raises TypeError; int/float subclasses use stored values. q must be a power of two in [2^-32, 2^32]: a float, NumPy float or integer (another type raises TypeError, an integer beyond the float range ValueError). - Every result u is exactly representable, so as_float(u,q) adds no error: against b, - -q/2 < as_float(u,q)-b <= q/2, with +q/2 exactly at ties. Against an original argument a - changed by promotion, add b-a (2^53+1 at q=1 loses 1 before quantization). N separately - rounded values have total error in (-N*q/2,N*q/2]; no sign is promised. With symmetric - non-tie fractional parts, mean error is (q/2)*P(tie); continuous uniform parts have none. - Round a demand once, then split whole units. 2^53 is no decimal precision threshold: a - decimal is exact only if its reduced denominator is a power of two and it fits binary64. - A decimal and its parsed double agree only in the same half-up cell; 5501195.1796 at - q=2^-21 gives 11536842473289, whereas its decimal reading would give 11536842473288. + N separately rounded values have a total error in (-N*q/2, N*q/2], with no promised sign: round a + demand once, then split whole units. A decimal and the double it parses to give the same units + only when both lie in the same half-up cell: 5501195.1796 at q=2^-21 gives 11536842473289, whereas + its decimal reading would give 11536842473288 (docs/semantics.md, section 1, has the full rule). CostStretch deliberately reads printed decimals for ratios; physical amounts use b. """ diff --git a/tests/py/removed_names.txt b/tests/py/removed_names.txt new file mode 100644 index 0000000..b8e50d3 --- /dev/null +++ b/tests/py/removed_names.txt @@ -0,0 +1,268 @@ +# The names this release's development removed, and what took their place: the list that +# tests/py/test_removed_names.py reads to find any old name left in the repository's texts. Three +# tables: the public names (Name | Replacement), then the members and the C++ declarations (Kind | Name | +# Replacement). +| Name | Replacement | +| --- | --- | +| `PredDAG` | `PredecessorDAG` | +| `EdgeTieBreak` | `RouteTieBreak` | +| `EdgePriority` | removed: the score is part of the `RouteTieBreak` value (`HIGHER_CAPACITY`, `HIGHER_AVAILABLE_CAPACITY`, `HIGHER_HEADROOM`) | +| `PathSelection` | removed: `tie_break`, `multipath`, `parallel_edges` on `ShortestPaths`, `DistributedTE`, `SpfOptions`, `KspOptions` | +| `SpfOptions` | same name; `selection` replaced by `tie_break`, `multipath`, `parallel_edges` | +| `KspOptions` | same name; `selection` replaced by `tie_break`, `parallel_edges` (no multipath) | +| `Absolute` | `AbsoluteCost` | +| `Stretch` | `CostStretch` | +| `DagCache` | `ShortestPathCache` | +| `DagCacheMiss` | `ShortestPathCacheMiss` | +| `DagCacheStats` | `ShortestPathCacheStats` | +| `FlowPlacement` | `RouteAllocation` | +| `Origin` | `SourceAllocation` | +| `Tunnels` | `TunnelCount` | +| `CostOnly` | `ShortestPaths` | +| `CapacityAware` | `DistributedTE` | +| `Global` | `CentralizedTE` | +| `FlowPolicyConfig` | same name; only `routing` and `admission` remain | +| `ForwardingProgram` | same name; new `from_dag` | +| `Route` | `RouteDefinition` | +| `QueryOptions` | `EvaluationOptions` | +| `CapacityOptions` | `EvaluationOptions` | +| `SensitivityOptions` | `EvaluationOptions` | +| `capacity` | `evaluate_demand` | +| `batch_capacity` | `evaluate_pairs` | +| `sensitivity` | `evaluate_edge_failures` | +| Kind | Name | Replacement | +| --- | --- | --- | +| parameter | `batch_capacity:opts` | `evaluate_pairs:options` | +| parameter | `batch_capacity:per_pair_elig` | `evaluate_pairs:per_pair_eligibility` | +| parameter | `capacity:opts` | `evaluate_demand:options` | +| parameter | `CapacityAware.__init__:max_path_cost` | `DistributedTE.__init__:cost_ceiling` | +| parameter | `CapacityAware.__init__:tunnels` | `DistributedTE.__init__:tunnel_count` | +| property | `CapacityAware.max_path_cost` | `DistributedTE.cost_ceiling` | +| property | `CapacityAware.tunnels` | `DistributedTE.tunnel_count` | +| field | `EdgePriority.RESIDUAL` | removed; `RouteTieBreak.HIGHER_AVAILABLE_CAPACITY` | +| field | `EdgeTieBreak.DETERMINISTIC` | `RouteTieBreak.FEWER_HOPS` | +| field | `EdgeTieBreak.PREFER_HIGHER_PRIORITY` | removed; `RouteTieBreak.HIGHER_CAPACITY`, `HIGHER_AVAILABLE_CAPACITY` or `HIGHER_HEADROOM`, by the old priority | +| parameter | `FlowLedger.__init__:residual` | `FlowLedger.__init__:service_baseline` | +| parameter | `FlowLedger.__init__:unreserved` | `FlowLedger.__init__:reservation_baseline` | +| method | `FlowLedger.allocated` | `FlowLedger.carried` | +| method | `FlowLedger.bottleneck` | `FlowLedger.saturated_boundary_edges` | +| parameter | `FlowLedger.bottleneck:elig` | `FlowLedger.saturated_boundary_edges:eligibility` | +| method | `FlowLedger.capacity_units` | `FlowLedger.edge_capacity_units` | +| parameter | `FlowLedger.reset:residual` | `FlowLedger.reset:service_baseline` | +| parameter | `FlowLedger.reset:unreserved` | `FlowLedger.reset:reservation_baseline` | +| field | `FlowPlacement.EQUAL_BALANCED` | `RouteAllocation.EQUAL` | +| field | `FlowPlacement.MAX_FLOW` | `RouteAllocation.OPTIMIZED` | +| parameter | `FlowPolicy.__init__:elig` | `FlowPolicy.__init__:eligibility` | +| parameter | `FlowPolicy.place:volume` | `FlowPolicy.place:offer` | +| method | `FlowPolicy.placed_demand` | `FlowPolicy.delivered` | +| parameter | `FlowPolicyConfig.__init__:origin` | `ShortestPaths(source_allocation=...)`, `CentralizedTE(source_allocation=...)` (required there); none on `DistributedTE` or `Pinned` | +| parameter | `FlowPolicyConfig.__init__:placement` | `ShortestPaths(allocation=...)` (`from_routes` and `from_dag` have their own `allocation`) | +| parameter | `FlowPolicyConfig.__init__:weights` | `ShortestPaths(weight_basis=...)` | +| property | `FlowPolicyConfig.origin` | `ShortestPaths.source_allocation`, `CentralizedTE.source_allocation` | +| property | `FlowPolicyConfig.placement` | `ShortestPaths.allocation` | +| property | `FlowPolicyConfig.weights` | `ShortestPaths.weight_basis` | +| property | `FlowRecord.bundle` | `FlowRecord.route` | +| property | `FlowRecord.drops` | `FlowRecord.edge_drops` | +| property | `FlowRecord.edges` | `FlowRecord.edge_flows` | +| property | `FlowRecord.entry` | `FlowRecord.entry_id` | +| property | `FlowRecord.owner` | `FlowRecord.policy_id` | +| field | `FlowRecord.reserved_edges` | `FlowRecord.edge_reservations` | +| property | `FlowRecord.route_cost` | `FlowRecord.min_route_cost` | +| parameter | `ForwardingProgram.from_routes:placement` | `ForwardingProgram.from_routes:allocation` | +| parameter | `ForwardingProgram.from_routes:weights` | `ForwardingProgram.from_routes:weight_basis` | +| parameter | `Global.__init__:tunnels` | `CentralizedTE.__init__:tunnel_count` | +| property | `Global.tunnels` | `CentralizedTE.tunnel_count` | +| parameter | `Graph.__init__:capacity_units` | `Graph.__init__:edge_capacity_units` | +| parameter | `Graph.__init__:cost` | `Graph.__init__:edge_costs` | +| parameter | `Graph.__init__:dst` | `Graph.__init__:edge_destinations` | +| parameter | `Graph.__init__:src` | `Graph.__init__:edge_sources` | +| method | `Graph.capacity_units` | `Graph.edge_capacity_units` | +| method | `Graph.cost` | `Graph.edge_costs` | +| method | `Graph.cost_gcd` | `Graph.edge_cost_gcd` | +| method | `Graph.edge_dst` | `Graph.edge_destinations` | +| method | `Graph.edge_src` | `Graph.edge_sources` | +| method | `Graph.in_adj_edge_index` | `Graph.incoming_edges` | +| method | `Graph.in_row_offsets` | `Graph.incoming_offsets` | +| method | `Graph.input_index` | `Graph.input_positions` | +| method | `Graph.max_cost` | `Graph.max_edge_cost` | +| method | `Graph.row_offsets` | `Graph.outgoing_offsets` | +| parameter | `ksp:dst` | `ksp:destination` | +| parameter | `ksp:opts` | `ksp:options` | +| parameter | `ksp:src` | `ksp:source` | +| parameter | `KspOptions.__init__:elig` | `KspOptions.__init__:eligibility` | +| parameter | `KspOptions.__init__:max_path_cost` | `KspOptions.__init__:cost_ceiling` | +| property | `KspOptions.elig` | `KspOptions.eligibility` | +| property | `KspOptions.max_path_cost` | `KspOptions.cost_ceiling` | +| parameter | `OutputOptions.__init__:bottleneck` | `OutputOptions.__init__:saturated_boundary_edges` | +| parameter | `OutputOptions.__init__:reservation_edge_flows` | `OutputOptions.__init__:edge_reservations` | +| property | `OutputOptions.bottleneck` | `OutputOptions.saturated_boundary_edges` | +| property | `OutputOptions.reservation_edge_flows` | `OutputOptions.edge_reservations` | +| method | `Path.dst` | `Path.destination` | +| method | `Path.src` | `Path.source` | +| parameter | `PathSelection.__init__:multi_edge` | `parallel_edges=` on `ShortestPaths`, `DistributedTE`, `SpfOptions`, `KspOptions` | +| property | `PathSelection.multi_edge` | the model's or the search options' `parallel_edges` | +| property | `PlacementResult.bottleneck` | `PlacementResult.saturated_boundary_edges` | +| property | `PlacementResult.call_drops` | `PlacementResult.call_edge_drops` | +| property | `PlacementResult.call_source_loss` | `PlacementResult.call_source_drops` | +| property | `PlacementResult.cost_distribution` | `PlacementResult.marginal_cost_curve` | +| property | `PlacementResult.drops` | `PlacementResult.edge_drops` | +| property | `PlacementResult.placed` | `PlacementResult.call_delivered` | +| property | `PlacementResult.remaining` | `PlacementResult.call_undelivered` | +| field | `PlacementResult.reservation_edge_flows` | `PlacementResult.edge_reservations` | +| property | `PlacementResult.source_loss` | `PlacementResult.source_drops` | +| parameter | `PredDAG.from_csr:offsets` | `PredecessorDAG.from_csr:parent_offsets` | +| parameter | `PredDAG.from_csr:via` | `PredecessorDAG.from_csr:via_edges` | +| parameter | `QueryOptions.__init__:elig` | `EvaluationOptions.__init__:eligibility` | +| parameter | `QueryOptions.__init__:offered` | `EvaluationOptions.__init__:offer` | +| property | `QueryOptions.elig` | `EvaluationOptions.eligibility` | +| property | `QueryOptions.offered` | `EvaluationOptions.offer` | +| parameter | `resolve_to_paths:dst` | `resolve_to_paths:destination` | +| parameter | `resolve_to_paths:src` | `resolve_to_paths:source` | +| parameter | `Route.__init__:bundle` | `RouteDefinition.__init__:route` | +| property | `Route.bundle` | `RouteDefinition.route` | +| parameter | `sensitivity:opts` | `evaluate_edge_failures:options` | +| property | `SensitivityEntry.loss` | `SensitivityEntry.delivery_reduction` | +| property | `SourceFlow.dropped` | `SourceFlow.total_edge_drops` | +| property | `SourceFlow.source_loss` | `SourceFlow.source_drops` | +| parameter | `spf:opts` | `spf:options` | +| parameter | `SpfOptions.__init__:elig` | `SpfOptions.__init__:eligibility` | +| property | `SpfOptions.elig` | `SpfOptions.eligibility` | +| property | `Tunnel.index` | `Tunnel.entry_id` | +| field | `Tunnel.planned` | `Tunnel.planned_bandwidth` | +| field | `Tunnel.requested` | `Tunnel.requested_bandwidth` | +| field | `Tunnel.reserved` | `Tunnel.reserved_bandwidth` | +| property | `Tunnel.route_cost` | `Tunnel.path_cost` | +| property | `TunnelFlow.dropped` | `TunnelFlow.total_edge_drops` | +| property | `TunnelFlow.index` | `TunnelFlow.entry_id` | +| field | `TunnelPlan.common_share` | `TunnelPlan.max_bandwidth_per_tunnel` | +| field | `TunnelPlan.count` | `TunnelPlan.tunnels_per_head` | +| field | `TunnelPlan.fluid_share` | `TunnelPlan.max_fractional_bandwidth_per_tunnel` | +| field | `TunnelPlan.forwarding_bound` | `TunnelPlan.max_lossless_offer` | +| field | `TunnelPlan.head_design` | `TunnelPlan.design_by_head` | +| field | `TunnelPlan.live_heads` | `TunnelPlan.heads_with_capacity` | +| field | `TunnelPlan.planned_per_tunnel` | `TunnelPlan.planned_bandwidth_per_tunnel` | +| field | `TunnelPlan.planned_total` | `TunnelPlan.total_planned_bandwidth` | +| field | `TunnelPlan.reserved_total` | `TunnelPlan.total_reserved_bandwidth` | +| field | `TunnelPlan.route_cost` | `TunnelPlan.total_tunnel_cost` | +| parameter | `Tunnels.__init__:count` | `TunnelCount.__init__:per_head` | +| property | `Tunnels.count` | `TunnelCount.per_head` | +| field | `TunnelStatus.COST_CEILING` | `TunnelStatus.COST_CEILING_EXCEEDED` | +| field | `TunnelStatus.NO_BANDWIDTH` | `TunnelStatus.INSUFFICIENT_BANDWIDTH` | +| parameter | `FlowPolicyConfig.__init__:edge_weights` | `ShortestPaths(edge_weights=...)` | +| property | `FlowPolicyConfig.edge_weights` | `ShortestPaths.edge_weights` | +| parameter | `FlowPolicyConfig.__init__:selection` | removed; its fields became `tie_break`, `multipath`, `parallel_edges` of the model | +| property | `FlowPolicyConfig.selection` | removed | +| parameter | `PathSelection.__init__:tie_break`, `priority` | one `tie_break: RouteTieBreak` | +| parameter | `PathSelection.__init__:multipath` (bool or None) | `multipath: bool = True` on `ShortestPaths` and `SpfOptions` only | +| parameter | `SpfOptions.__init__:selection`, `KspOptions.__init__:selection` | removed; `tie_break`, `parallel_edges` (and `multipath` for `SpfOptions`) as keywords | +| parameter | `Global.__init__:support` + `tunnels` together (rejected before) | `CentralizedTE(source_allocation=..., support=dag, tunnel_count=...)` allowed | +| parameter | `Global.__init__` without an origin | `CentralizedTE(source_allocation=...)` required | +| property | `Stretch.factor` (float) | `CostStretch.factor` (a `fractions.Fraction`) | +| parameter | `Stretch.__init__:factor` float | a `Fraction`, an integer or a float read as `Fraction(str(f))` | +| parameter | `QueryOptions.__init__:offered` (some models only) | `EvaluationOptions(offer=...)`, finite, every model | +| property | `FlowRecord.placement` | removed: the configuration selects the computation, the program the forwarding | +| property | `PlacementResult.local_outcomes` | removed: `by_source` carries the per-source accounting (no per-source termination) | +| method | `FlowPolicy.usable_bundles` | removed: inspect the program (`FlowPolicy.program`) | +| property | `Pinned.bundles` | `Pinned.program`, built by `ForwardingProgram.from_routes` or `from_dag` | +| Kind | C++ name | Replacement | +| --- | --- | --- | +| file | `include/netgraph/core/dag_cache.hpp` | `include/netgraph/core/shortest_path_cache.hpp` | +| file | `include/netgraph/core/pred_dag.hpp` | `include/netgraph/core/route_structures.hpp` | +| file | `include/netgraph/core/program.hpp` | `include/netgraph/core/forwarding_program.hpp` | +| type | `Absolute` | `AbsoluteCost` | +| function | `batch_capacity` | `evaluate_pairs` | +| parameter | `batch_capacity:g` | `evaluate_pairs:graph` | +| function | `capacity` | `evaluate_demand` | +| parameter | `capacity:g` | `evaluate_demand:graph` | +| type | `CapacityAware` | `DistributedTE` | +| field | `CapacityAware::max_path_cost` | `DistributedTE::cost_ceiling` | +| type | `CostOnly` | `ShortestPaths` | +| type | `DagCache` | `ShortestPathCache` | +| constructor_or_destructor | `DagCache::DagCache` | `ShortestPathCache::ShortestPathCache` | +| parameter | `DagCache::lookup:elig` | `ShortestPathCache::lookup:eligibility` | +| parameter | `DagCache::lookup:g` | `ShortestPathCache::lookup:graph` | +| constructor_or_destructor | `DagCache::~DagCache` | `ShortestPathCache::~ShortestPathCache` | +| type | `DagCacheMiss` | `ShortestPathCacheMiss` | +| constructor_or_destructor | `DagCacheMiss::DagCacheMiss` | `ShortestPathCacheMiss::ShortestPathCacheMiss` | +| enum-value | `EdgePriority::Residual` | removed with `EdgePriority` | +| type | `EdgeTieBreak` | `RouteTieBreak` | +| enum-value | `EdgeTieBreak::Deterministic` | `RouteTieBreak::FewerHops` | +| enum-value | `EdgeTieBreak::PreferHigherPriority` | removed; `RouteTieBreak::HigherCapacity`, `HigherAvailableCapacity` or `HigherHeadroom` | +| function | `Eligibility::edge_ok` | `Eligibility::allows_edge` | +| function | `Eligibility::node_ok` | `Eligibility::allows_node` | +| function | `FlowLedger::allocated` | `FlowLedger::carried` | +| function | `FlowLedger::bottleneck` | `FlowLedger::saturated_boundary_edges` | +| parameter | `FlowLedger::bottleneck:elig` | `FlowLedger::saturated_boundary_edges:eligibility` | +| function | `FlowLedger::capacity_units` | `FlowLedger::edge_capacity_units` | +| parameter | `FlowLedger::FlowLedger:residual` | `FlowLedger::FlowLedger:service_baseline` | +| parameter | `FlowLedger::reset:residual` | `FlowLedger::reset:service_baseline` | +| type | `FlowPlacement` | `RouteAllocation` | +| enum-value | `FlowPlacement::EqualBalanced` | `RouteAllocation::Equal` | +| enum-value | `FlowPlacement::MaxFlow` | `RouteAllocation::Optimized` | +| parameter | `FlowPolicy::FlowPolicy:elig` | `FlowPolicy::FlowPolicy:eligibility` | +| parameter | `FlowPolicy::place:volume` | `FlowPolicy::place:offer` | +| function | `FlowPolicy::placed_demand` | `FlowPolicy::delivered` | +| field | `FlowPolicyConfig::origin` | `ShortestPaths::source_allocation`, `CentralizedTE::source_allocation` | +| field | `FlowPolicyConfig::placement` | `ShortestPaths::allocation` (the option lives in the model) | +| field | `FlowPolicyConfig::weights` | `ShortestPaths::weight_basis` | +| field | `FlowRecord::bundle` | `FlowRecord::route` | +| field | `FlowRecord::drops` | `FlowRecord::edge_drops` | +| field | `FlowRecord::edges` | `FlowRecord::edge_flows` | +| field | `FlowRecord::entry` | `FlowRecord::entry_id` | +| field | `FlowRecord::owner` | `FlowRecord::policy_id` | +| field | `FlowRecord::route_cost` | `FlowRecord::min_route_cost` | +| parameter | `ForwardingProgram::from_routes:g` | `ForwardingProgram::from_routes:graph` | +| type | `Global` | `CentralizedTE` | +| function | `Graph::capacity_units` | `Graph::edge_capacity_units` | +| function | `Graph::cost` | `Graph::edge_costs` | +| function | `Graph::cost_gcd` | `Graph::edge_cost_gcd` | +| function | `Graph::edge_dst` | `Graph::edge_destinations` | +| function | `Graph::edge_src` | `Graph::edge_sources` | +| parameter | `Graph::Graph:capacity_units` | `Graph::Graph:edge_capacity_units` | +| parameter | `Graph::Graph:cost` | `Graph::Graph:edge_costs` | +| parameter | `Graph::Graph:dst` | `Graph::Graph:edge_destinations` | +| parameter | `Graph::Graph:src` | `Graph::Graph:edge_sources` | +| function | `Graph::in_adj_edge_index` | `Graph::incoming_edges` | +| function | `Graph::in_row_offsets` | `Graph::incoming_offsets` | +| function | `Graph::input_index` | `Graph::input_positions` | +| function | `Graph::max_cost` | `Graph::max_edge_cost` | +| function | `Graph::row_offsets` | `Graph::outgoing_offsets` | +| parameter | `ksp:g` | `ksp:graph` | +| field | `KspOptions::elig` | `KspOptions::eligibility` | +| field | `KspOptions::max_path_cost` | `KspOptions::cost_ceiling` | +| type | `Origin` | `SourceAllocation` | +| field | `OutputOptions::bottleneck` | `OutputOptions::saturated_boundary_edges` | +| function | `Path::dst` | `Path::destination` | +| parameter | `Path::Path:g` | `Path::Path:graph` | +| function | `Path::src` | `Path::source` | +| field | `PathSelection::multi_edge` | `parallel_edges` of the model or the search options (`PathSelection` removed) | +| field | `PlacementResult::bottleneck` | `PlacementResult::saturated_boundary_edges` | +| field | `PlacementResult::call_drops` | `PlacementResult::call_edge_drops` | +| field | `PlacementResult::call_source_loss` | `PlacementResult::call_source_drops` | +| field | `PlacementResult::cost_distribution` | `PlacementResult::marginal_cost_curve` | +| field | `PlacementResult::drops` | `PlacementResult::edge_drops` | +| field | `PlacementResult::placed` | `PlacementResult::call_delivered` | +| field | `PlacementResult::remaining` | `PlacementResult::call_undelivered` | +| field | `PlacementResult::source_loss` | `PlacementResult::source_drops` | +| type | `PredDAG` | `PredecessorDAG` | +| parameter | `PredDAG::from_csr:g` | `PredecessorDAG::from_csr:graph` | +| type | `QueryOptions` | `EvaluationOptions` | +| field | `QueryOptions::elig` | `EvaluationOptions::eligibility` | +| field | `QueryOptions::offered` | `EvaluationOptions::offer` | +| parameter | `resolve_to_paths:g` | `resolve_to_paths:graph` | +| type | `Route` | `RouteDefinition` | +| field | `Route::bundle` | `RouteDefinition::route` | +| field | `RouteOptions::placement` | `RouteOptions::allocation` | +| field | `RouteOptions::weights` | `RouteOptions::weight_basis` | +| function | `sensitivity` | `evaluate_edge_failures` | +| parameter | `sensitivity:g` | `evaluate_edge_failures:graph` | +| field | `SensitivityEntry::loss` | `SensitivityEntry::delivery_reduction` | +| field | `SourceFlow::dropped` | `SourceFlow::total_edge_drops` | +| field | `SourceFlow::source_loss` | `SourceFlow::source_drops` | +| parameter | `spf:g` | `spf:graph` | +| field | `SpfOptions::elig` | `SpfOptions::eligibility` | +| type | `Stretch` | `CostStretch` | +| field | `Tunnel::index` | `Tunnel::entry_id` | +| field | `Tunnel::route_cost` | `Tunnel::path_cost` | +| field | `TunnelFlow::dropped` | `TunnelFlow::total_edge_drops` | +| field | `TunnelFlow::index` | `TunnelFlow::entry_id` | diff --git a/tests/py/removed_names_reviewed.txt b/tests/py/removed_names_reviewed.txt index ca9dd98..623c362 100644 --- a/tests/py/removed_names_reviewed.txt +++ b/tests/py/removed_names_reviewed.txt @@ -2,8 +2,7 @@ # place | word | substring unique to that line in its place | reason. Each was read where it stands; # all are ordinary words of this domain's prose, a name current in another owner's sense, or a # local variable of the same file. -CentralizedTE | tunnels | >= 1; the other heads are dead and lose their share), N sing | a model's tunnels (ForwardingProgram.tunnels is the current name) -CentralizedTE | tunnels | Traffic splits equally over the heads and over each head's t | a model's tunnels (ForwardingProgram.tunnels is the current name) + DistributedTE | tunnels | T1: every head sets up its own strict tunnels by CSPF, no co | a model's tunnels (ForwardingProgram.tunnels is the current name) DistributedTE | tunnels | owner and of this setup's earlier tunnels) is at least max(r | a model's tunnels (ForwardingProgram.tunnels is the current name) DistributedTE | tunnels | tunnel_count.per_head tunnels; in round order (round j, head | a model's tunnels (ForwardingProgram.tunnels is the current name) @@ -26,7 +25,6 @@ Graph.edge_cost_gcd | cost | gcd of the edge costs (0 without edges) | an edge's Graph.edge_costs | cost | int64[E] costs, id order (read-only view) | an edge's or a path's cost (Path.cost is the current name) Graph.incoming_edges | cost | int32[E]: the in-edges of v in (cost, source, input) order, | an edge's or a path's cost (Path.cost is the current name) Graph.max_edge_cost | cost | largest edge cost (0 without edges) | an edge's or a path's cost (Path.cost is the current name) -PlacementResult | drops | LOSSY with an empty roster, where the whole offer is the dem | losses on links or at a source PlacementResult.call_delivered | placed | the units placed (delivered) by this call | traffic placed (delivered) on a ledger PlacementResult.call_edge_drops | drops | this call's drops on links [(EdgeId, units)], ascending Edge | losses on links or at a source PlacementResult.edge_drops | drops | the epoch's drops on links [(EdgeId, units)], ascending Edge | losses on links or at a source @@ -34,26 +32,7 @@ PredecessorDAG.from_csr | via | len(via_edges); then every parent and via edge i PredecessorDAG.from_csr | via | no duplicate (child, via edge), acyclic; within a node the e | the via edge of a DAG entry PredecessorDAG.via_edges | via | int32 via EdgeId per entry (read-only view) | the via edge of a DAG entry README.md | Route | ### Route structures | a route or routes (a heading such as 'Route structures' or 'Routes') -README.md | Route | - **Route allocations**, the rules that spread one flow over | a route or routes (a heading such as 'Route structures' or 'Routes') README.md | Route | - **Route choice**: one tie rule, `RouteTieBreak` (`FEWER_HO | a route or routes (a heading such as 'Route structures' or 'Routes') -README.md | cost | fixed order (the resolution, the unit values, the shapes, ze | an edge's or a path's cost (Path.cost is the current name) -README.md | count | `TunnelCount(L, up_to=True)` chooses the smallest common cou | the tunnel count (tunnels per head) -README.md | count | unchanged, except that a call raising `ShortestPathCacheMiss | the verb 'to count' (a tally), not a tunnel count -README.md | count | without a tunnel count, an ideal controller: the minimum-cos | the tunnel count (tunnels per head) -README.md | drops | by hop and records what it drops. | losses on links or at a source -README.md | edge_weights | `allocation=WEIGHTED` is WCMP with its `weight_basis` and `e | ShortestPaths.edge_weights, where the field now lives -README.md | edge_weights | edge_weights=None, tie_break=FEWER_HOPS, multipath=True, par | ShortestPaths.edge_weights, where the field now lives -README.md | edges | `saturated_boundary_edges(sources)` lists the full edges lea | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) -README.md | placed | `edge_flows`, `edge_drops` and `edge_reservations`) are the | traffic placed (delivered) on a ledger -README.md | placement | placement engine for one demand, bound to its ledger. `FlowP | placing traffic -README.md | tunnels | and splits equally over their up tunnels; | a model's tunnels (ForwardingProgram.tunnels is the current name) -README.md | tunnels | design_demand=None)` publishes it (T1 sets its tunnels up an | a model's tunnels (ForwardingProgram.tunnels is the current name) -README.md | tunnels | equally over the heads and their tunnels, each tunnel runs C | a model's tunnels (ForwardingProgram.tunnels is the current name) -README.md | tunnels | nothing; the policy's Eligibility fails the tunnels it touch | a model's tunnels (ForwardingProgram.tunnels is the current name) -README.md | tunnels | program (T1 keeps its tunnels and holds, T2 its tunnels and | a model's tunnels (ForwardingProgram.tunnels is the current name) -README.md | tunnels | single-path tunnels with one common whole-unit planned bandw | a model's tunnels (ForwardingProgram.tunnels is the current name) -README.md | tunnels | strict-bandwidth tunnels, as RSVP-TE head ends do, with no c | a model's tunnels (ForwardingProgram.tunnels is the current name) -README.md | volume | strict-bandwidth tunnels, as RSVP-TE head ends do, with no c | the design volume D of the tunnel models README.md | weights | - **`ForwardingProgram`**: the routes and integer weights of | a program entry's integer weight (its share among its head's entries) ShortestPaths.edge_weights | weights | the explicit weights (one int per edge, a tuple), or None | WEIGHTED's member weights SourceFlow.total_edge_drops | dropped | LOSSY: its units dropped on links; 0 when LOSSLESS | traffic dropped on a link or at a black hole @@ -63,7 +42,6 @@ TunnelCount | count | policy or an evaluator uses it). up_to=True (T2 only; T1 r TunnelCount.per_head | count | the tunnels per head (the largest count for up_to) | the tunnel count (tunnels per head) TunnelFlow.total_edge_drops | dropped | its units dropped on links | traffic dropped on a link or at a black hole TunnelPlan | count | The tunnel models' setup summary (read-only): tunnels_per_he | the tunnel count (tunnels per head) -TunnelPlan | volume | design_demand (the design volume D in units), design_by_head | the design volume D of the tunnel models TunnelPlan.design_demand | volume | the design volume D in units; float('inf') when unlimited | the design volume D of the tunnel models TunnelPlan.total_tunnel_cost | count | T2: the sum of cost * tunnel count over the links (exact; ca | the number of tunnels using each link TunnelPlan.tunnels_per_head | count | the tunnels per head (T2 up to: the chosen count) | the tunnel count (tunnels per head) @@ -121,17 +99,12 @@ dev/perf/test_tool.py | selection | memory rule, the verdicts, the bootstrap int docs/semantics.md | Residual | - **EdgeId order is the coordinate of every per-edge value.* | the term 'Residual' (an edge's free capacity) docs/semantics.md | Residual | - **Residual gating** (only when a `residual` array is suppl | the term 'Residual' (an edge's free capacity) docs/semantics.md | Residual | - **Residual gating** at 1 unit when a residual is supplied. | the term 'Residual' (an edge's free capacity) -docs/semantics.md | Residual | - **Residual.** The capacity of an edge that is still free, | the term 'Residual' (an edge's free capacity) docs/semantics.md | Route | ## 3. Route values: PredecessorDAG and Path | a route or routes (a heading such as 'Route structures' or 'Routes') docs/semantics.md | Route | ## 5. Route allocations and admission | a route or routes (a heading such as 'Route structures' or 'Routes') -docs/semantics.md | Route | - **Route allocation.** The rule that spreads one flow over | a route or routes (a heading such as 'Route structures' or 'Routes') docs/semantics.md | Route | - **Route choice.** The tie rule (`RouteTieBreak`), `multipa | a route or routes (a heading such as 'Route structures' or 'Routes') -docs/semantics.md | Route | - **Route of a record.** The edges one record may use, as a | a route or routes (a heading such as 'Route structures' or 'Routes') -docs/semantics.md | Route | - **Routes.** At u, among the count vectors `x` (the tunnels | a route or routes (a heading such as 'Route structures' or 'Routes') docs/semantics.md | Route | 3. [Route values: PredecessorDAG and Path](#3-route-values-p | a route or routes (a heading such as 'Route structures' or 'Routes') docs/semantics.md | Route | 5. [Route allocations and admission](#5-route-allocations-an | a route or routes (a heading such as 'Route structures' or 'Routes') docs/semantics.md | allocated | sources are allocated equally and pooled at every shared rou | allocated memory, storage or amounts -docs/semantics.md | bundle | possibly many equal-cost walks) or a `Path` (one explicit wa | a bundle of members docs/semantics.md | cost | - **EdgeId.** The EdgeId of an edge is its rank in the stabl | an edge's or a path's cost (Path.cost is the current name) docs/semantics.md | cost | `(cost, source, input)` order. Both offset arrays have `N + | an edge's or a path's cost (Path.cost is the current name) docs/semantics.md | cost | `outgoing_offsets()[u]` to `outgoing_offsets()[u + 1] - 1`, | an edge's or a path's cost (Path.cost is the current name) @@ -141,39 +114,21 @@ docs/semantics.md | cost | capacity sum before the cost sum at the same edge). I docs/semantics.md | cost | public number, its EdgeId, by sorting the edges by source, c | an edge's or a path's cost (Path.cost is the current name) docs/semantics.md | cost | `NodeId`, `EdgeId` (`int32`), the cost and amount aliases (` | an edge's or a path's cost (Path.cost is the current name) docs/semantics.md | count | (`DistributedTE requires an exact tunnel count`), then the c | the tunnel count (tunnels per head) -docs/semantics.md | count | - **Count outcomes.** An empty roster gives an empty program | the tunnel count (tunnels per head) -docs/semantics.md | count | - **Routes.** At u, among the count vectors `x` (the tunnels | a vector of per-link tunnel counts (the tunnels on each link) docs/semantics.md | count | - **Sizing.** `H` roster heads in ascending node id, `N = tu | the tunnel count (tunnels per head) docs/semantics.md | count | 10000]`; `TunnelCount(per_head)` itself takes any 64-bit int | the tunnel count (tunnels per head) -docs/semantics.md | count | Admission `LOSSLESS` or `LOSSY`. No path-cost ceiling. The t | the tunnel count (tunnels per head) docs/semantics.md | count | Eligibility. Every step (roster, live heads, sizing, count c | the tunnel count (tunnels per head) docs/semantics.md | count | Then each model's own fields: the tunnel count in `[1, 10000 | the tunnel count (tunnels per head) -docs/semantics.md | count | `TunnelCount(L, up_to=True)` gives every head one common cou | the tunnel count (tunnels per head) docs/semantics.md | count | carried loads per edge: summing them counts every hop, not t | the verb 'to count' (a tally), not a tunnel count -docs/semantics.md | count | common count that carries the live heads' design shares (or | the tunnel count (tunnels per head) -docs/semantics.md | count | for T1 (`L` counts for "up to"). | the verb 'to count' (a tally), not a tunnel count docs/semantics.md | count | is never held. A tunnel count is a number of setup attempts | the tunnel count (tunnels per head) -docs/semantics.md | count | never grows with `k` (once it is 0, every later count scores | the tunnel count (tunnels per head) docs/semantics.md | count | partial hold, retry, growth or count reduction; `min_unreser | reducing the number of tunnels docs/semantics.md | count | result. A failed lookup counts one miss. A frozen cache neve | the verb 'to count' (a tally), not a tunnel count -docs/semantics.md | count | sum of cost[e] * x[e]` (`total_tunnel_cost`; idle tunnels co | the verb 'to count' (a tally), not a tunnel count docs/semantics.md | count | the share. `a` live heads, `k` tunnels each (`N`, or the cho | the tunnel count (tunnels per head) -docs/semantics.md | count | then roster position `i`, with the entry identifier `j * H + | the verb 'to count' (a tally), not a tunnel count docs/semantics.md | count | without a tunnel count, and `ShortestPaths` with `allocation | the tunnel count (tunnels per head) docs/semantics.md | dropped | carries traffic. Records and `OutputOptions` give the carrie | traffic dropped on a link or at a black hole -docs/semantics.md | drops | - **The lossless bound.** A Lossless call forwards each entr | losses on links or at a source -docs/semantics.md | drops | forwards hop by hop and drops what does not fit on each edge | losses on links or at a source -docs/semantics.md | edge_weights | `ValueError` (`TunnelCount per_head = is out of range [. | ShortestPaths.edge_weights, where the field now lives -docs/semantics.md | edge_weights | `edge_weights[0] must be an integer (got bool)`); an integer | ShortestPaths.edge_weights, where the field now lives -docs/semantics.md | edge_weights | `numpy.bool_`; an integer field or `edge_weights` of a confi | ShortestPaths.edge_weights, where the field now lives -docs/semantics.md | edge_weights | beyond 64 bits `ValueError('edge_weights[] must be an int | ShortestPaths.edge_weights, where the field now lives docs/semantics.md | edge_weights | built from one model read one `edge_weights` array). | ShortestPaths.edge_weights, where the field now lives docs/semantics.md | edge_weights | edge_weights=None, tie_break=RouteTieBreak.FEWER_HOPS, multi | ShortestPaths.edge_weights, where the field now lives -docs/semantics.md | edge_weights | integer (got bool)`), and so does an `edge_weights` that is | ShortestPaths.edge_weights, where the field now lives docs/semantics.md | edges | - **Member graph.** The edges a search may use: eligible (an | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) -docs/semantics.md | edges | - **Minimum cut.** A set of edges whose removal separates th | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) docs/semantics.md | edges | - **Parallel members.** Several edges between the same two n | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) -docs/semantics.md | edges | - **Route of a record.** The edges one record may use, as a | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) docs/semantics.md | edges | - **Shortest-path DAG.** The set of all tight edges: every s | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) docs/semantics.md | edges | `CentralizedTE`'s `tunnel_count`, `FlowRecord.entry_id`, a d | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) docs/semantics.md | edges | `RESIDUAL_SNAPSHOT` reads; it has no default). A split route | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) @@ -181,12 +136,10 @@ docs/semantics.md | edges | ascending EdgeId. It follows edges forward only. It docs/semantics.md | edges | kinds), `destination`, `edges` (in path order), `path_cost` | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) docs/semantics.md | edges | set of nodes reachable from the allowed sources over edges w | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) docs/semantics.md | edges | traffic (holds play no part): the edges (eligible, at least | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) -docs/semantics.md | edges | walk's edges. | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) docs/semantics.md | entry | (`service_baseline has length , expected (one entry p | an entry of a program, an array or a CSR list docs/semantics.md | entry | - **Entry identifiers.** Every entry has an integer `entry_i | an entry of a program, an array or a CSR list docs/semantics.md | entry | - **Entry.** One route of a program: a **tunnel** (one path, | an entry of a program, an array or a CSR list docs/semantics.md | entry | - **Injection.** A total `x` enters at the roster (the heads | an entry of a program, an array or a CSR list -docs/semantics.md | entry | - **The lossless bound.** A Lossless call forwards each entr | an entry of a program, an array or a CSR list docs/semantics.md | entry | `admission`; `entry_id` (a T1, T2 or `Pinned` record: the id | an entry of a program, an array or a CSR list docs/semantics.md | entry | are never merged: each entry takes its own share. `ShortestP | an entry of a program, an array or a CSR list docs/semantics.md | entry | entry in `[0, edge_capacity_units[e]]` (a physical baseline | an entry of a program, an array or a CSR list @@ -197,12 +150,9 @@ docs/semantics.md | owner | occupancy. T1's setup reads `unreserved` (other owne docs/semantics.md | placed | **In plain words.** A `FlowLedger` holds what is placed on o | traffic placed (delivered) on a ledger docs/semantics.md | placed | already placed, so the pairs are not the costs of the paths | traffic placed (delivered) on a ledger docs/semantics.md | placed | be placed raises `ShortestPathCacheMiss` through a frozen ca | traffic placed (delivered) on a ledger -docs/semantics.md | placed | placed (a static walk, the static shortest cost). | traffic placed (delivered) on a ledger -docs/semantics.md | placement | - **Roster.** The sources of a policy that take part in plac | placing traffic docs/semantics.md | placement | infinite one is rejected (`finite placement after infinite p | placing traffic docs/semantics.md | placement | placement` or `CentralizedTE with tunnel_count does not supp | placing traffic docs/semantics.md | planned | `planned_bandwidth` (T2's planned bandwidth u, never held; 0 | T2's planned bandwidth -docs/semantics.md | priority | - **Bottleneck of a walk.** The smallest priority value (res | a score's priority order, or a priority queue docs/semantics.md | priority | - **Not modelled:** traffic classes and priority queues, RSV | a score's priority order, or a priority queue docs/semantics.md | priority | a hold can use bandwidth that T1 holds: there is no priority | a score's priority order, or a priority queue docs/semantics.md | tunnels | ([T1](#t1-tunnels-set-up-by-their-heads)). | a link anchor, the slug of the docs' own heading @@ -210,7 +160,6 @@ docs/semantics.md | tunnels | ([T2](#t2-the-controllers-equal-tunnels)). The con docs/semantics.md | tunnels | (empty without tunnels): `entry_id`, `head`, `status` (`UP`; | a model's tunnels (ForwardingProgram.tunnels is the current name) docs/semantics.md | tunnels | **without tunnels that keeps the roster**: `policy.program` | a model's tunnels (ForwardingProgram.tunnels is the current name) docs/semantics.md | tunnels | - **Design demand.** The volume T1 and T2 size their tunnels | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | - **Routes.** At u, among the count vectors `x` (the tunnels | a model's tunnels (ForwardingProgram.tunnels is the current name) docs/semantics.md | tunnels | - **Sizing.** Tunnels of a common size `s > 0` exist exactly | a model's tunnels (ForwardingProgram.tunnels is the current name) docs/semantics.md | tunnels | - **T1.** `DistributedTE(TunnelCount(N))`: every head sets u | a model's tunnels (ForwardingProgram.tunnels is the current name) docs/semantics.md | tunnels | - **`CentralizedTE(tunnel_count=...)` (T2)** lays out its tu | a model's tunnels (ForwardingProgram.tunnels is the current name) @@ -222,8 +171,6 @@ docs/semantics.md | tunnels | `TunnelPlan` of that program, [T1](#t1-tunnels-set docs/semantics.md | tunnels | `forward(offer)` forwards the installed program and keeps it | a model's tunnels (ForwardingProgram.tunnels is the current name) docs/semantics.md | tunnels | `total_planned_bandwidth` is `K * u`. Once U >= 1, every liv | a model's tunnels (ForwardingProgram.tunnels is the current name) docs/semantics.md | tunnels | attributed to one of its down tunnels. | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | bandwidth ([section 7](#t2-the-controllers-equal-tunnels)). | a link anchor, the slug of the docs' own heading -docs/semantics.md | tunnels | bandwidth), with no controller ([section 7](#t1-tunnels-set- | a link anchor, the slug of the docs' own heading docs/semantics.md | tunnels | bring more tunnels up or fewer. | a model's tunnels (ForwardingProgram.tunnels is the current name) docs/semantics.md | tunnels | controller lays out N single-path tunnels for every live hea | a model's tunnels (ForwardingProgram.tunnels is the current name) docs/semantics.md | tunnels | controller, and each head (a roster source) sets up its own | a model's tunnels (ForwardingProgram.tunnels is the current name) @@ -245,11 +192,8 @@ docs/semantics.md | tunnels | robin over that head's up tunnels in local order. docs/semantics.md | tunnels | roster head) and `total_reserved_bandwidth` (the up tunnels' | a model's tunnels (ForwardingProgram.tunnels is the current name) docs/semantics.md | tunnels | sequence (duplicates are separate tunnels). The tunnels are | a model's tunnels (ForwardingProgram.tunnels is the current name) docs/semantics.md | tunnels | single-path tunnels, all planned with one common whole-unit | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | sum of cost[e] * x[e]` (`total_tunnel_cost`; idle tunnels co | a model's tunnels (ForwardingProgram.tunnels is the current name) docs/semantics.md | tunnels | the share. `a` live heads, `k` tunnels each (`N`, or the cho | a model's tunnels (ForwardingProgram.tunnels is the current name) docs/semantics.md | tunnels | then round robin over the head's `k` tunnels in local order; | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | then splits equally over the heads and over each head's tunn | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | traffic, lays the tunnels out again for D and forwards; `des | a model's tunnels (ForwardingProgram.tunnels is the current name) docs/semantics.md | tunnels | `design_demand` required and finite; `offer` `None`: the los | a model's tunnels (ForwardingProgram.tunnels is the current name) docs/semantics.md | tunnels | `EQUAL`, fixed | a model's tunnels (ForwardingProgram.tunnels is the current name) docs/semantics.md | tunnels | tralizedTE(source_allocation=..., tunnel_count=...)`, option | a model's tunnels (ForwardingProgram.tunnels is the current name) @@ -261,35 +205,20 @@ docs/semantics.md | via | ascending via EdgeId. A wrong type raises `TypeError`; docs/semantics.md | via | ends at `len(parents) == len(via_edges)`; then every id is i | the via edge of a DAG entry docs/semantics.md | via | node, no `(node, via)` pair repeats, the DAG has no cycle an | the via edge of a DAG entry docs/semantics.md | volume | - **Design demand.** The volume T1 and T2 size their tunnels | the design volume D of the tunnel models -docs/semantics.md | volume | - **`CentralizedTE(tunnel_count=...)` (T2)** lays out its tu | the design volume D of the tunnel models -docs/semantics.md | volume | - **`DistributedTE` (T1)** sets up its tunnels for a design | the design volume D of the tunnel models -docs/semantics.md | volume | bandwidth as large as possible, then (for a finite design vo | the design volume D of the tunnel models -docs/semantics.md | volume | controller, and each head (a roster source) sets up its own | the design volume D of the tunnel models -docs/semantics.md | volume | volume, take whole offers only). `evaluate`, `replace` and ` | the design volume D of the tunnel models -docs/semantics.md | weights | (`EQUAL`) or by highest averages over the weights (`WEIGHTED | WEIGHTED's member weights docs/semantics.md | weights | (`from_dag allocation must be EQUAL or WEIGHTED`) and the we | WEIGHTED's member weights -docs/semantics.md | weights | - **EdgeId order is the coordinate of every per-edge value.* | WEIGHTED's member weights docs/semantics.md | weights | - **Highest averages `H(x, w)`.** `x` units over members wit | the weights of highest averages (members or entries) docs/semantics.md | weights | - **Program.** A `ForwardingProgram`: the routes and integer | a program entry's integer weight (its share among its head's entries) docs/semantics.md | weights | - **The tie rule never supplies weights** (`ShortestPaths` ` | WEIGHTED's member weights docs/semantics.md | weights | - **`Pinned`** forwards its program as given, computing noth | a program entry's integer weight (its share among its head's entries) docs/semantics.md | weights | - **`WEIGHTED`** splits at every node by highest averages ov | WEIGHTED's member weights -docs/semantics.md | weights | - The roster is rebuilt from the program's **basis**, ignori | WEIGHTED's member weights docs/semantics.md | weights | 6. the weights: `weight_basis requires allocation=WEIGHTED`; | WEIGHTED's member weights -docs/semantics.md | weights | allocation the program keeps the solved supplies as **captur | the captured source weights of a program's injection docs/semantics.md | weights | and attribution, in one split context. `allocation` is `EQUA | WEIGHTED's member weights -docs/semantics.md | weights | chooses weights. Weights are never renormalised; a member wh | WEIGHTED's member weights docs/semantics.md | weights | ignoring capacity and weights; an empty roster is allowed (a | WEIGHTED's member weights -docs/semantics.md | weights | its weights from its weight basis there ([section 5](#5-rout | WEIGHTED's member weights docs/semantics.md | weights | robin (**equal sources**) or by highest averages over the ca | the captured source weights of a program's injection -docs/semantics.md | weights | routes`); `OPTIMIZED` (`from_routes allocation must be EQUAL | WEIGHTED's member weights -docs/semantics.md | weights | share and loses it. Captured source weights keep the remaini | the captured source weights of a program's injection -docs/semantics.md | weights | stays `UP`. Weights stay as the program froze them. | WEIGHTED's member weights docs/semantics.md | weights | the demand. Equal positive weights give exactly round robin: | the weights of highest averages (members or entries) docs/semantics.md | weights | the interior split of the `PredecessorDAG` routes, `EQUAL` ( | WEIGHTED's member weights docs/semantics.md | weights | then splits its share by highest averages over its entries' | a program entry's integer weight (its share among its head's entries) docs/semantics.md | weights | value does not expose per-router effective weights, the spli | WEIGHTED's member weights -docs/semantics.md | weights | weights), and forwards it hop by hop on the free capacity: e | WEIGHTED's member weights docs/semantics.md | weights | route allocation | a table column: the weight options of the models evaluate_edge_failures | placed | (NGRAPH_CORE_SENSITIVITY_THREADS). Only ShortestPaths reads | traffic placed (delivered) on a ledger include/netgraph/core/detail/min_cost_flow.hpp | own_i | The solve on an edge subset (the Optimized kernel's replacem | a math symbol of the comment's formula @@ -476,8 +405,6 @@ tests/py/test_source_allocation.py | src | Pinned over a program of one split ro tests/py/tunnel_oracle.py | src | Every simple path (EdgeIds in walk order) from src that ends | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) CMakeLists.txt | g | as the TSan documentation advises (the Debug build type adds | the compiler flag -g CONTRIBUTING.md | origin | git push origin vX.Y.Z | the git remote origin -README.md | count | count; it does not promise whole-demand lossless delivery); | the tunnel count (tunnels per head) -README.md | tunnels | count; it does not promise whole-demand lossless delivery); | a model's tunnels (ForwardingProgram.tunnels is the current name) TunnelCount | count | 1..per_head for every head: the smallest common count whose | the tunnel count (tunnels per head) TunnelCount | count | design shares; if none does, the largest live-share score, t | the tunnel count (tunnels per head) TunnelCount.up_to | count | True: the smallest count up to per_head whose program carrie | the tunnel count (tunnels per head) @@ -539,7 +466,6 @@ dev/stubs/test_generate.py | g | overrides without a generated declaration: ['g' dev/stubs/test_generate.py | g | typing.Any left in the stub (add a reviewed override): g -> | a sample client's or stub's local name `g` in the stub tools' test input docs/semantics.md | Tunnels | - **Sizing.** Tunnels of a common size `s > 0` exist exactly | the word starting a sentence: actual tunnels docs/semantics.md | Tunnels | request `RR(share, N, j)`: the tunnels of one head differ by | the word starting a sentence: actual tunnels -docs/semantics.md | count | the smallest count. It does not promise whole-demand lossles | the tunnel count (tunnels per head) include/netgraph/core/flow_policy.hpp | count | live-share score, then the smallest count; no promise of who | the tunnel count (tunnels per head) pyproject.toml | selection | scikit-build-core 1.0 introduced the "explicit" sdist file s | scikit-build-core's sdist file selection src/centralized_te_tunnels.cpp | Tunnels | Sizing. Tunnels of a common size s > 0 exist exactly when K | the word starting a sentence: actual tunnels @@ -644,8 +570,6 @@ tests/py/test_removed_names.py | DagCacheStats | name it plants): each must be f tests/py/test_removed_names.py | Tunnels | name it plants): each must be found on its own line. | the rule's own control: the name it plants in each kind of text dev/pytest_guard.py | sensitivity | tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[sensitivity.global] | a test id (dev/pytest_guard.py names it) dev/pytest_guard.py | sensitivity | tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[sensitivity.pinned] | a test id (dev/pytest_guard.py names it) -docs/semantics.md | allocated | allocated; the event and dependency limits, known only after | allocated memory, storage or amounts -docs/semantics.md | allocated | event structures are allocated. Either refusal changes nothin | allocated memory, storage or amounts include/netgraph/core/detail/forwarding.hpp | allocated | before the network is allocated; | allocated memory, storage or amounts include/netgraph/core/detail/forwarding.hpp | allocated | structures are allocated. Either refusal changes nothing. | allocated memory, storage or amounts tests/cpp/program_tests.cpp | allocated | is allocated, the event and dependency counts before the event | allocated memory, storage or amounts @@ -661,20 +585,9 @@ tests/cpp/joint_forwarding_tests.cpp | g | ledger of g. | the local or parameter tests/cpp/program_tests.cpp | Tunnels | black holes on rows 2, 6 and 17. Tunnels 0 and 3 | a model's tunnels (ForwardingProgram.tunnels is the current name) tests/py/test_apply_actions.py | g | alike). g: the first copy's graph | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) tests/py/test_programs.py | Tunnels | on rows 2, 6 and 17. Tunnels 0 and 3 reach a black hole | a model's tunnels (ForwardingProgram.tunnels is the current name) - -docs/semantics.md | weights | `FEWER_HOPS` or `HIGHER_CAPACITY` and `EQUAL`, `CAPACITY` or `EXPLICIT` weights, a preparation | member weight values and immutable preparation -README.md | weights | `HIGHER_CAPACITY` and static weights keeps its immutable preparation across epochs, with results | immutable member weight values, not a removed API name include/netgraph/core/flow_policy.hpp | weights | path), fixed for an epoch. With FewerHops or HigherCapacity and static weights the policy | immutable member weights of a ShortestPaths policy -CentralizedTE | tunnels | of declared source_weights, only without tunnels. Zero weights receive nothing; all-zero | path tunnels of the model; the current configuration keyword is tunnel_count ForwardingProgram | weights | captured weights ((source, weight) for every roster source, ascending): optimized controllers' solved | declared or captured integer weight values, not a retired configuration field ForwardingProgram | weights | supplies, weighted CentralizedTE's declared weights, or None for equal sources (round robin). Each head splits its share by | declared or captured integer weight values, not a retired configuration field -README.md | tunnels | (CentralizedTE without tunnels prescribes highest-averages shares of declared source weights). The routing is | path tunnels of the model; the current configuration keyword is tunnel_count -README.md | tunnels | replay at another offer. WEIGHTED is refused with tunnels and in ShortestPaths; all-zero | path tunnels of the model; the current configuration keyword is tunnel_count -README.md | weights | (CentralizedTE without tunnels prescribes highest-averages shares of declared source weights). The routing is | declared or captured integer weight values, not a retired configuration field -README.md | weights | at the maximum total, then cost is minimized. Its program retains the declared weights for | declared or captured integer weight values, not a retired configuration field -README.md | weights | roster weights deliver nothing and end NO_ACTIVE_WEIGHT on a positive live call. | declared or captured integer weight values, not a retired configuration field -docs/semantics.md | weights | including unused and masked nodes, but only roster weights participate. Zero weights receive | declared or captured integer weight values, not a retired configuration field -docs/semantics.md | weights | nothing; all-zero roster weights give no injection, with no equal fallback. Other source | declared or captured integer weight values, not a retired configuration field include/netgraph/core/detail/int128.hpp | priority | quota numerator or priority cross-product is below 2^189. Three portable words | exact rational quotient ordering for integer apportionment, not a retired route option include/netgraph/core/flow_policy.hpp | tunnels | Required exactly for Weighted, without tunnels: one immutable weight per graph node, | path tunnels of the model; the current configuration keyword is tunnel_count include/netgraph/core/forwarding_program.hpp | weights | The captured source weights (roster source, weight) in ascending NodeId, every roster | declared or captured integer weight values, not a retired configuration field @@ -683,3 +596,56 @@ src/route_kernels.cpp | priority | One rule for both widths: only quota and prio tests/cpp/weighted_source_tests.cpp | priority | One-unit-at-a-time priority oracle for small totals; test integer arithmetic | exact rational quotient ordering for integer apportionment, not a retired route option include/netgraph/core/flow_policy.hpp | edge_weights | edge_weights' and source_weights' lengths and entries; then the tunnel limit; then a Pinned program's endpoints. | the current routing models' validated vectors, not a retired flat configuration field docs/semantics.md | weights | shares (`SourceAllocation.EQUAL`), highest-averages shares of declared weights (`WEIGHTED`), | declared integer source proportions, not a retired configuration field +CentralizedTE | tunnels | heads and over each head's tunnels; planned bandwidth is nev | a model's tunnels (ForwardingProgram.tunnels is the current name) +CentralizedTE | tunnels | their share), N single-path tunnels with one common whole-un | a model's tunnels (ForwardingProgram.tunnels is the current name) +PlacementResult | drops | offer is then the demand's source drops and every row is zer | losses on links or at a source +README.md | Route | - **Route allocations** (`RouteAllocation`) say how a demand | a route or routes (a heading such as 'Route structures' or 'Routes') +README.md | tunnels | ([T1](docs/semantics.md#t1-tunnels-set-up-by-their-heads)). | a model's tunnels (ForwardingProgram.tunnels is the current name) +README.md | tunnels | ([T2](docs/semantics.md#t2-the-controllers-equal-tunnels)). | a model's tunnels (ForwardingProgram.tunnels is the current name) +README.md | tunnels | lays out N single-path tunnels per head with one common whol | a model's tunnels (ForwardingProgram.tunnels is the current name) +README.md | tunnels | tunnels by CSPF, as RSVP-TE head ends do, with no controller | a model's tunnels (ForwardingProgram.tunnels is the current name) +README.md | tunnels | without tunnels: highest-averages shares of declared source | a model's tunnels (ForwardingProgram.tunnels is the current name) +README.md | weights | without tunnels: highest-averages shares of declared source | the declared source weights of WEIGHTED sources +docs/semantics.md | Residual | - **Residual.** The free capacity of an edge: in a ledger, i | the term 'Residual' (an edge's free capacity) +docs/semantics.md | Route | - **Route allocation.** How a demand's traffic is split at e | a route or routes (a heading such as 'Route structures' or 'Routes') +docs/semantics.md | Route | - **Routes.** At u, the count vectors `x` (the tunnels on ea | a route or routes (a heading such as 'Route structures' or 'Routes') +docs/semantics.md | cost | positive integer cost. Capacities are counted in whole **uni | an edge's or a path's cost (Path.cost is the current name) +docs/semantics.md | cost | | a `fractions.Fraction` | an edge's or a path's cost (Path.cost is the current name) +docs/semantics.md | count | - **Routes.** At u, the count vectors `x` (the tunnels on ea | a vector of per-link tunnel counts (the tunnels on each link) +docs/semantics.md | count | - **Routing model.** `ShortestPaths`, `DistributedTE` (T1), | the tunnel count (tunnels per head) +docs/semantics.md | count | Then `source_weights`: its length against the graph's node c | the verb 'to count' (a tally), not a tunnel count +docs/semantics.md | count | count); | the tunnel count (tunnels per head) +docs/semantics.md | count | design shares; if none does, the largest live-share score, t | the tunnel count (tunnels per head) +docs/semantics.md | count | gives every head one common count `k <= L`: the smallest who | the tunnel count (tunnels per head) +docs/semantics.md | drops | [section 5](#5-route-allocations-and-admission): each entry' | losses on links or at a source +docs/semantics.md | edge_weights | (`edge_weights[0] must be an integer (got bool)`); an entry | ShortestPaths.edge_weights, where the field now lives +docs/semantics.md | edge_weights | - An `edge_weights` that is not a 1-D sequence of integers ( | ShortestPaths.edge_weights, where the field now lives +docs/semantics.md | edge_weights | - `source_weights` is converted as `edge_weights` is, in thr | ShortestPaths.edge_weights, where the field now lives +docs/semantics.md | edge_weights | `ValueError('edge_weights[] must be an integer in [0, 2^6 | ShortestPaths.edge_weights, where the field now lives +docs/semantics.md | edges | - **EdgeId.** The public number of an edge: its rank when th | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) +docs/semantics.md | edges | - **Eligibility (a mask).** Which nodes and edges of a graph | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) +docs/semantics.md | edges | - **Minimum cut.** For the optimized controller: the edges t | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) +docs/semantics.md | edges | edges, whatever the capacities, in ascending node id; fixed | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) +docs/semantics.md | entry | [section 5](#5-route-allocations-and-admission): each entry' | an entry of a program, an array or a CSR list +docs/semantics.md | entry | or per program entry ([section 6](#6-the-ledger)). | an entry of a program, an array or a CSR list +docs/semantics.md | placement | - `place`'s checks are in [the placement call](#the-placemen | placing traffic +docs/semantics.md | tunnels | - **Routes.** At u, the count vectors `x` (the tunnels on ea | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | 1. the smallest route-cost sum `J = sum of cost[e] * x[e]` ( | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | bandwidth ([T2](#t2-the-controllers-equal-tunnels)). | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | bandwidth), with no controller ([T1](#t1-tunnels-set-up-by-t | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | computation that installed the tunnels, neither the installe | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | lays the tunnels out again for D and forwards; `design_deman | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | tunnels | plan describes the setup that installed the tunnels; `forwar | a model's tunnels (ForwardingProgram.tunnels is the current name) +docs/semantics.md | weights | (`RouteAllocation`): equally (`EQUAL`, ECMP), by integer wei | WEIGHTED's member weights +docs/semantics.md | weights | 4. A **program** (`ForwardingProgram`): the routes the model | a program entry's integer weight (its share among its head's entries) +docs/semantics.md | weights | 5. the weights' combination: `weight_basis requires allocati | WEIGHTED's member weights +docs/semantics.md | weights | The tie rule never chooses weights. Weights are never renorm | WEIGHTED's member weights +docs/semantics.md | weights | `CAPACITY` or `EXPLICIT` weights nothing a preparation reads | WEIGHTED's member weights +docs/semantics.md | weights | only the roster's weights are read. A zero weight receives n | the declared source weights of WEIGHTED sources +docs/semantics.md | weights | over the weights (`WEIGHTED`). Every source that passes a ro | WEIGHTED's member weights +docs/semantics.md | weights | rest, and old drops are never offered again. With captured s | the captured source weights of a program's injection +docs/semantics.md | weights | weights from its weight basis there ([section 5](#5-route-al | WEIGHTED's member weights +PlacementResult | remaining | LOSSY, for an empty roster and for a forwarding whose remain | what remains (the captured source weights left after a mask) +docs/semantics.md | weights | - `forward` solves nothing: it sends its offer over the inst | a program entry's integer weight (its share among its head's entries) +docs/semantics.md | weights | and a forwarding whose remaining captured source weights are | the captured source weights of a program's injection +docs/semantics.md | weights | weights** (`source_weights`: every roster source, a zero sup | the captured source weights of a program's injection diff --git a/tests/py/test_docs_examples.py b/tests/py/test_docs_examples.py index 8ec9a9c..66bf366 100644 --- a/tests/py/test_docs_examples.py +++ b/tests/py/test_docs_examples.py @@ -107,7 +107,7 @@ def test_semantics_examples_print_their_documented_output(): text = (ROOT / "docs" / "semantics.md").read_text(encoding="utf-8") # The counts are pinned, so an example deleted together with its output is noticed: a # change to the document's examples updates them. - assert check_examples(text, "docs/semantics.md") == (31, 30) + assert check_examples(text, "docs/semantics.md") == (47, 46) def test_readme_quick_start_prints_its_commented_output(): diff --git a/tests/py/test_removed_names.py b/tests/py/test_removed_names.py index dd223a1..72a7cbd 100644 --- a/tests/py/test_removed_names.py +++ b/tests/py/test_removed_names.py @@ -1,4 +1,4 @@ -"""One rule for the names this release removed (the old spellings of CHANGELOG's Removed tables: +"""One rule for the names this release removed (the old spellings of removed_names.txt's tables: the two-column table of public names and the three-column tables of members and C++ declarations), over every kind of text: the public docstrings (the callable behind a staticmethod or classmethod included), the C++ comments and string literals of include/, src/, bindings/, @@ -7,8 +7,8 @@ python/, tests/ and dev/ (not the frozen reference under tests/reference/ and not the fixture replay's key mapping), the comments of the shell scripts, workflows, Makefile, CMake and TOML files, and the prose of the Markdown documents (fenced code excluded: the docs tests run it -against the current API; not CHANGELOG.md, which lists the names, nor the frozen reference's -README). +against the current API; not CHANGELOG.md, which names the removed 0.11 API, nor the frozen +reference's README). 1. A removed name that the API no longer has anywhere and that is not an ordinary word of this domain's prose is a stale name wherever it stands as a word. @@ -18,7 +18,7 @@ docstring and of the docs that name it. 3. In a C++ comment, a snake_case name with an underscore, or a name written as a call, that no code of the repository declares or uses (C++ and Python identifiers, the API, file names) is a stale - name: a renamed internal helper or member (the CHANGELOG lists only the public ones). + name: a renamed internal helper or member (removed_names.txt lists only the public ones). 4. No code identifier (C++ outside comments and string literals, not a std:: name; Python names, attributes, definitions, parameters and keywords) of src/, include/, bindings/, tests/ (not the frozen fixture replay or reference), python/ and dev/ holds a rule-1 name as itself or as a @@ -51,6 +51,7 @@ ROOT = Path(__file__).resolve().parents[2] REVIEWED_FILE = Path(__file__).with_name("removed_names_reviewed.txt") +REMOVED_FILE = Path(__file__).with_name("removed_names.txt") # Planted text for the rule's own controls: {relative path: text read in place of the file's}. PLANTED = {} @@ -125,13 +126,10 @@ def _split(spelling): def removed(): - """(old owner, leaf, new owners) for every old spelling of CHANGELOG's Removed table (this - release's section; files excluded).""" - text = read(ROOT / "CHANGELOG.md") - start = text.index("## [Unreleased]") - section = text[start : text.index("\n## [", start + 1)] + """(old owner, leaf, new owners) for every old spelling of removed_names.txt's tables (files + excluded).""" out = [] - for row in section[section.index("### Removed") :].splitlines(): + for row in REMOVED_FILE.read_text().splitlines(): cells = [c.strip() for c in row.strip().strip("|").split("|")] if ( not row.startswith("|") @@ -483,8 +481,8 @@ def _paragraphs(lines): yield paragraph -# The documents read: every Markdown file but CHANGELOG.md (it lists the names) and the frozen -# reference's README. +# The documents read: every Markdown file but CHANGELOG.md (it names the removed 0.11 API) and the +# frozen reference's README. def _markdown_files(): for path in tree_files(): rel = path.relative_to(ROOT) diff --git a/tests/py/test_route_structures.py b/tests/py/test_route_structures.py index 5353a90..c7fc1cd 100644 --- a/tests/py/test_route_structures.py +++ b/tests/py/test_route_structures.py @@ -1,5 +1,5 @@ """PredecessorDAG, Path, RouteTieBreak, the enums and Eligibility.intersect through the bindings -(docs/semantics.md#3-route-values-preddag-and-path): validation in the documented order on +(docs/semantics.md#3-route-values-predecessordag-and-path): validation in the documented order on unnarrowed values, read-only views, structural equality.""" from __future__ import annotations diff --git a/tests/py/test_shortest_path_cache.py b/tests/py/test_shortest_path_cache.py index 99c573e..d62f718 100644 --- a/tests/py/test_shortest_path_cache.py +++ b/tests/py/test_shortest_path_cache.py @@ -1,4 +1,4 @@ -"""The ShortestPathCache's modes through the binding (docs/semantics.md#9-the-dag-cache): the +"""The ShortestPathCache's modes through the binding (docs/semantics.md#9-the-shortest-path-cache): the transition table, ShortestPathCacheMiss as a dedicated exception propagated unchanged by the evaluators, the evaluators' sharing rules (a frozen cache shared by every worker, a building one rejected with two or more), the reuse of prepopulated Eligibility uids, frozen From 3f32e737b2900243453d58b5859da90a64b22476 Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Sun, 25 Oct 2026 21:38:25 +0000 Subject: [PATCH 31/39] Lean proofs of the round-robin rule Adds a Lean project with machine-checked proofs of the rule that splits whole units among members in order and of its cumulative increments, a plain explanation of each theorem with worked examples, a checker that pins every statement, CI that verifies the proofs, and a release step that publishes only the files whose proofs were checked. Nothing changes at run time, and the wheel does not need Lean. Co-Authored-By: Claude Opus 5.5 --- .github/workflows/proofs.yml | 187 ++++ .github/workflows/release.yml | 29 +- .gitignore | 3 + CHANGELOG.md | 5 + CONTRIBUTING.md | 13 +- README.md | 6 + dev/proofs/README.md | 234 +++++ dev/proofs/bridge.py | 177 ++++ dev/proofs/package.py | 95 ++ dev/proofs/replay_report.py | 26 + dev/proofs/run.sh | 50 ++ dev/proofs/test_tool.py | 440 +++++++++ dev/stubs/check_contents.py | 12 +- dev/stubs/test_checks.py | 8 + docs/formal/theorems/round-robin.md | 196 ++++ proofs/Checks.lean | 4 + proofs/Checks/Examples.lean | 73 ++ proofs/Checks/Main.lean | 84 ++ proofs/Checks/audit.py | 441 +++++++++ proofs/NetGraphCore.lean | 3 + .../Apportionment/RoundRobin.lean | 170 ++++ proofs/README.md | 89 ++ proofs/cases.json | 204 +++++ proofs/lake-manifest.json | 96 ++ proofs/lakefile.toml | 18 + proofs/lean-toolchain | 1 + proofs/theorems.json | 840 ++++++++++++++++++ pyproject.toml | 10 +- tests/py/test_removed_names.py | 4 +- 29 files changed, 3507 insertions(+), 11 deletions(-) create mode 100644 .github/workflows/proofs.yml create mode 100644 dev/proofs/README.md create mode 100644 dev/proofs/bridge.py create mode 100644 dev/proofs/package.py create mode 100644 dev/proofs/replay_report.py create mode 100644 dev/proofs/run.sh create mode 100644 dev/proofs/test_tool.py create mode 100644 docs/formal/theorems/round-robin.md create mode 100644 proofs/Checks.lean create mode 100644 proofs/Checks/Examples.lean create mode 100644 proofs/Checks/Main.lean create mode 100644 proofs/Checks/audit.py create mode 100644 proofs/NetGraphCore.lean create mode 100644 proofs/NetGraphCore/Apportionment/RoundRobin.lean create mode 100644 proofs/README.md create mode 100644 proofs/cases.json create mode 100644 proofs/lake-manifest.json create mode 100644 proofs/lakefile.toml create mode 100644 proofs/lean-toolchain create mode 100644 proofs/theorems.json diff --git a/.github/workflows/proofs.yml b/.github/workflows/proofs.yml new file mode 100644 index 0000000..8824f22 --- /dev/null +++ b/.github/workflows/proofs.yml @@ -0,0 +1,187 @@ +name: Lean verification + +on: + pull_request: + push: + branches: ["**"] + workflow_dispatch: + workflow_call: + inputs: + sdist-artifact: + description: Existing source artifact to check, rather than building a new archive + type: string + default: "" + wheels-pattern: + description: Existing release wheel artifacts corresponding to that archive + type: string + default: "" + +permissions: + contents: read + +env: + LEAN_NUM_THREADS: "2" + PROOFS_DEPENDENCY_ORIGIN: cache+local + +jobs: + model: + name: Lean proofs + runs-on: ubuntu-22.04 + steps: + - uses: actions/checkout@v4 + - uses: actions/setup-python@v5 + with: + python-version: "3.12" + # Official action, pinned to its reviewed source. The package's own entry point + # controls build/audit/replay; the action supplies Elan and the pinned mathlib cache. + - uses: leanprover/lean-action@24581d74d674803a25a81b10b059c5c0cdd344c6 + with: + lake-package-directory: proofs + auto-config: "false" + build: "false" + test: "false" + lint: "false" + use-github-cache: "false" + use-mathlib-cache: "true" + - name: Model proofs, fingerprints and fresh kernel replay + run: bash dev/proofs/run.sh replay + - name: Real-discovery negative controls + run: bash dev/proofs/run.sh test + - uses: actions/upload-artifact@v4 + if: always() + with: + name: lean-model-evidence + path: | + build/proofs/check.json + build/proofs/replay.json + build/proofs/*.log + if-no-files-found: error + + distribution: + name: Lean distribution + runs-on: ubuntu-22.04 + env: + PIP_CONSTRAINT: ${{ github.workspace }}/.github/ci-constraints.txt + PIP_BUILD_CONSTRAINT: ${{ github.workspace }}/.github/ci-constraints.txt + CMAKE_BUILD_PARALLEL_LEVEL: "4" + steps: + - uses: actions/checkout@v4 + - uses: actions/setup-python@v5 + with: + python-version: "3.12" + - name: Pinned packaging tools + run: | + python -m pip install -U -c .github/ci-constraints.txt pip + python -m pip install -c .github/ci-constraints.txt build + - uses: actions/download-artifact@v4 + if: inputs.sdist-artifact != '' + with: + name: ${{ inputs.sdist-artifact }} + path: build/proofs/dist + - uses: actions/download-artifact@v4 + if: inputs.wheels-pattern != '' + with: + pattern: ${{ inputs.wheels-pattern }} + merge-multiple: true + path: build/proofs/dist + - name: Build candidate distributions with excluded local by-products present + if: inputs.sdist-artifact == '' + run: | + mkdir -p proofs/.lake build/proofs + echo must-not-ship > proofs/.lake/packaging-plant.keep + echo must-not-ship > build/proofs/generated-report.keep + python -m build --sdist --wheel --outdir build/proofs/dist \ + --config-setting=build-dir=build/proofs/wheel-build + - name: Check exact members, record archive identity and extract + shell: bash + run: | + sdists=(build/proofs/dist/*.tar.gz) + wheels=(build/proofs/dist/*.whl) + [[ ${#sdists[@]} -eq 1 && -f ${sdists[0]} ]] + [[ -f ${wheels[0]} ]] + proof_extract="$RUNNER_TEMP/netgraph-core-proofs-sdist" + echo "PROOFS_EXTRACTED=$proof_extract" >> "$GITHUB_ENV" + args=(--sdist "${sdists[0]}" --receipt build/proofs/receipt.json --extract "$proof_extract") + for wheel in "${wheels[@]}"; do args+=(--wheel "$wheel"); done + python -I -B dev/proofs/package.py "${args[@]}" + test ! -e "$proof_extract/.git" + test ! -e "$proof_extract/dev" + test ! -e "$proof_extract/proofs/.lake" + ! git -C "$proof_extract" rev-parse --show-toplevel + - uses: leanprover/lean-action@24581d74d674803a25a81b10b059c5c0cdd344c6 + with: + lake-package-directory: ${{ env.PROOFS_EXTRACTED }}/proofs + auto-config: "false" + build: "false" + test: "false" + lint: "false" + use-github-cache: "false" + use-mathlib-cache: "true" + - name: Check proofs using only the extracted source and pinned dependencies + run: | + cd "$PROOFS_EXTRACTED/proofs" + lake --wfail build + lake exe proof-audit --output "$GITHUB_WORKSPACE/build/proofs/sdist-check.json" + lake env leanchecker --fresh Checks > "$GITHUB_WORKSPACE/build/proofs/sdist-replay.log" 2>&1 + python -I -B Checks/audit.py --verify-report "$GITHUB_WORKSPACE/build/proofs/sdist-check.json" + - name: Recheck artifact identities after proof execution + shell: bash + run: | + args=(--verify --sdist build/proofs/dist/*.tar.gz --receipt build/proofs/receipt.json) + for wheel in build/proofs/dist/*.whl; do args+=(--wheel "$wheel"); done + python -I -B dev/proofs/package.py "${args[@]}" + - uses: actions/upload-artifact@v4 + with: + name: proof-distribution-receipt + path: | + build/proofs/receipt.json + build/proofs/sdist-check.json + build/proofs/sdist-replay.log + if-no-files-found: error + - uses: actions/upload-artifact@v4 + with: + name: lean-native-wheels + path: build/proofs/dist/*.whl + if-no-files-found: error + + bridge: + name: Lean bridge + needs: [model, distribution] + runs-on: ubuntu-22.04 + steps: + - uses: actions/checkout@v4 + - uses: actions/setup-python@v5 + with: + python-version: "3.12" + - uses: actions/download-artifact@v4 + with: + name: lean-model-evidence + path: build/proofs + - uses: actions/download-artifact@v4 + with: + name: lean-native-wheels + path: build/proofs/wheels + - name: Install the selected native wheel + run: | + python -m pip install -U -c .github/ci-constraints.txt pip + python -m pip install -c .github/ci-constraints.txt numpy + python -m pip install --no-index --no-deps --find-links build/proofs/wheels \ + --report build/proofs/install.json netgraph-core + python - <<'PY' + import json, os + from urllib.parse import unquote, urlparse + data = json.load(open('build/proofs/install.json')) + installed = [x for x in data['install'] if x['metadata']['name'] == 'netgraph-core'] + assert len(installed) == 1 + url = urlparse(installed[0]['download_info']['url']) + assert url.scheme == 'file' + with open(os.environ['GITHUB_ENV'], 'a') as f: + f.write('PROOFS_WHEEL=' + unquote(url.path) + '\n') + PY + - name: Exact native comparisons against current model evidence + run: PROOFS_NATIVE_PYTHON=$(command -v python) bash dev/proofs/run.sh bridge + - uses: actions/upload-artifact@v4 + with: + name: lean-bridge-evidence + path: build/proofs/bridge.json + if-no-files-found: error diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index 47628d3..8f504bb 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -173,23 +173,50 @@ jobs: /tmp/wheel-venv/bin/python -m pip install --no-index --find-links wheelhouse/ netgraph-core PYTHON=/tmp/wheel-venv/bin/python bash dev/run-checks.sh pytest off -p no:cacheprovider + proofs: + name: Verify release proofs and distributions + needs: [build_sdist, build_wheels] + uses: ./.github/workflows/proofs.yml + with: + sdist-artifact: cibw-sdist + wheels-pattern: cibw-wheels-* + publish_pypi: name: Publish to PyPI - needs: [check_version, build_wheels, build_sdist, test_sdist, test_wheels_centos_stream_9] + needs: [check_version, build_wheels, build_sdist, test_sdist, test_wheels_centos_stream_9, proofs] runs-on: ubuntu-latest environment: pypi permissions: + contents: read # Checkout the same tag's artifact-identity verifier. id-token: write # Required for Trusted Publishing (OIDC) # Only publish on tag pushes if: github.event_name == 'push' && startsWith(github.ref, 'refs/tags/v') steps: + - uses: actions/checkout@v4 + - uses: actions/setup-python@v5 + with: + python-version: "3.12" - uses: actions/download-artifact@v4 with: pattern: cibw-* path: dist merge-multiple: true + - uses: actions/download-artifact@v4 + with: + name: proof-distribution-receipt + path: proof-evidence + + - name: Publish exactly the artifacts whose proof distribution was checked + shell: bash + run: | + sdists=(dist/*.tar.gz) + [[ ${#sdists[@]} -eq 1 && -f ${sdists[0]} ]] + args=(--verify --sdist "${sdists[0]}" --receipt proof-evidence/receipt.json) + for wheel in dist/*.whl; do args+=(--wheel "$wheel"); done + python -I -B dev/proofs/package.py "${args[@]}" + - name: Publish to PyPI uses: pypa/gh-action-pypi-publish@release/v1 diff --git a/.gitignore b/.gitignore index af80017..e0d3023 100644 --- a/.gitignore +++ b/.gitignore @@ -33,3 +33,6 @@ dist/ # The performance tool's default output directory /dev/perf/results/ + +# Lean dependencies, compiled declarations and local cache state. +/proofs/.lake/ diff --git a/CHANGELOG.md b/CHANGELOG.md index 893a3d6..1d9deb1 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -64,6 +64,11 @@ the new behaviour exactly. - **Guarantees**: every public call either completes or changes nothing, with two stated limits; native work releases the GIL, placements included, and calls on one ledger take effect one at a time. +- **Proofs**: the round-robin rule that splits whole units among members in order, and the + increments it gives when an offer grows over several calls, have machine-checked Lean proofs of + their stated properties, explained with worked examples in + [docs/formal/theorems/round-robin.md](docs/formal/theorems/round-robin.md). Nothing changes at + run time, and installing the package does not need Lean. - **Typing**: the package ships `py.typed` and a type stub that carries the docstrings. - **C++**: the same API in self-contained headers under `netgraph/core/` (`types.hpp`, `graph.hpp`, `eligibility.hpp`, `options.hpp`, `route_structures.hpp`, `forwarding_program.hpp`, `search.hpp`, diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 79fed30..34d629e 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -86,6 +86,16 @@ A change to observable behaviour (a result, an order, an outcome, an error, a de in the same change, and its examples must still print what the document shows: `tests/py/test_docs_examples.py` runs them, and README's quick start, in the Python tests. +### Mathematical Proofs + +`proofs/` is a Lean project that proves properties of the round-robin rule; +[proofs/README.md](proofs/README.md) gives the commands and +[dev/proofs/README.md](dev/proofs/README.md) the rules for adding or changing a theorem. Ordinary +native and Python development does not need Lean. A theorem is accepted only with a plain +explanation of its statement and its proof, supporting lemmas included, that an engineer without +mathematical training can follow: a worked example and a boundary example, and a failing case +for each assumption that can fail, with every input, step and result explained. + ## Release Process Releases are automated via GitHub Actions when a new tag is pushed. @@ -94,7 +104,8 @@ Releases are automated via GitHub Actions when a new tag is pushed. dated the day you tag. Mark anything that breaks consumers as **BREAKING**. 2. Bump `version` in `pyproject.toml` to the same `X.Y.Z`. Release CI compares the tag with this value and refuses to publish on a mismatch. -3. Commit and push. +3. Commit and push, then wait for the `Lean verification` workflow to pass on the pushed + branch: publication waits for the same workflow on the tag, so a failure there blocks it. 4. Create and push a matching tag: ```bash diff --git a/README.md b/README.md index 5e27e3b..243e7ee 100644 --- a/README.md +++ b/README.md @@ -240,6 +240,7 @@ src/ # C++ implementation include/netgraph/core/ # Public C++ headers bindings/python/ # pybind11 bindings python/netgraph_core/ # Python package +proofs/ # Lean proofs of the round-robin rule (not in the wheel) tests/cpp/ # C++ tests (googletest) tests/py/ # Python tests (pytest) dev/ # Developer scripts (not shipped): checks, coverage, @@ -268,6 +269,11 @@ Performance claims are timed with the A/B/A tool (old build, new build, then the on one machine, so drift shows), described in [dev/perf/README.md](dev/perf/README.md) (`make perf-tool-test` tests the tool itself). +[proofs/](proofs/README.md) holds machine-checked Lean proofs of the round-robin splitting rule, +explained with worked examples in [docs/formal/theorems/](docs/formal/theorems/round-robin.md). +They prove properties of the mathematical rule, not of the C++ code, and nothing in the build or +the installed package needs Lean. + The editable development build (`make install`, `make dev`) carries the private test hooks (CMake option `NETGRAPH_CORE_PRIVATE_HOOKS`; a wheel build does not); the test suites skip the tests that need them when they are absent. diff --git a/dev/proofs/README.md b/dev/proofs/README.md new file mode 100644 index 0000000..08e531c --- /dev/null +++ b/dev/proofs/README.md @@ -0,0 +1,234 @@ +# Lean proofs: rules for contributors + +`proofs/` is a Lean 4 project that states parts of the library's mathematical model and proves +properties of it; Lean checks every step of each proof. This page gives the rules a theorem +meets before it is accepted, and how the checks and the release use the proofs. The commands +are in [proofs/README.md](../../proofs/README.md); the explained theorems are under +[docs/formal/theorems/](../../docs/formal/theorems/round-robin.md). Ordinary native and Python +development does not need Lean, and `make check` does not run the proofs. + +## What a proof shows + +[docs/semantics.md](../../docs/semantics.md) is the statement of what the library computes. A +Lean definition expresses a selected part of it, and each theorem states its assumptions +exactly. When the contract, the model and the code disagree, review the three together; a proof +never changes a default, an order, a supported domain or a result on its own. + +Three different claims need three different kinds of evidence: + +| Claim | Evidence it needs | +| --- | --- | +| A property holds for the mathematical model | A reviewed statement and a Lean proof checked by Lean's kernel, with audited dependencies | +| A solver's result for one input meets its objective | A certificate for that exact input, accepted by a checker that is itself proved sound; the compiled checker and its input decoding stay trusted assumptions | +| The C++ code implements the model on its whole supported domain | A refinement proof connecting the code and its machine semantics to the model | + +The project gives the first kind only. Comparisons of the model with the native package (the +bridge, below) check the tested inputs exactly; they do not give the third claim. A proof about +the model says nothing about native exception safety, memory safety, locking or caching. Never +describe the package as "formally verified": name the model property that is proved. + +## Files + +```text +proofs/README.md commands, for a checkout and for the source archive +proofs/lean-toolchain exact Lean release (mathlib's own pin, copied byte for byte) +proofs/lakefile.toml Lake package, mathlib at an exact Git revision +proofs/lake-manifest.json every transitive dependency revision +proofs/NetGraphCore.lean imports every model and proof module +proofs/NetGraphCore/Apportionment/ the round-robin model and its theorems +proofs/Checks.lean imports every check module +proofs/Checks/ audit program, examples, Python inventory checker (audit.py) +proofs/theorems.json accepted theorems and their pinned digests +proofs/cases.json example inputs and expected outputs, derived independently +docs/formal/theorems/ plain explanation of each theorem and its proof +dev/proofs/run.sh entry point: check, replay, test, bridge, record +dev/proofs/test_tool.py negative controls of the gate +dev/proofs/bridge.py exact comparisons with an installed native wheel +dev/proofs/replay_report.py evidence file of the kernel replay +dev/proofs/package.py source archive and wheel contents, published-file identity +.github/workflows/proofs.yml CI jobs: Lean proofs, Lean distribution, Lean bridge +``` + +A new module directory under `proofs/NetGraphCore/` is created with its first definitions. Scratch +arguments, review notes, timing logs and abandoned models stay out of the project. + +## What ships where + +| Distribution | Proof content | +| --- | --- | +| Git checkout and version tag | Everything above | +| Source archive (sdist) | `proofs/` without `proofs/.lake/`, and `docs/`, including the explanations; no `dev/` | +| Wheel | No proof sources, Lean, mathlib or proof build products | +| `pip install`, CMake, run time | Lean is never installed or run; building the library does not build the proofs | +| CI evidence | Reports are workflow artifacts of one commit, never shipped | + +The source archive's file rule is `sdist.include` and `sdist.exclude` in `pyproject.toml`; +`dev/stubs/check_contents.py` repeats it independently, and `make stubs-check` and +`dev/proofs/package.py` compare the built archive with it. Because the archive's file list is +explicit, the `/proofs/.lake/` line in `.gitignore` alone does not keep Lake's dependencies and +build products out: the sdist exclusion does. Reports go to `build/proofs/`, which neither git +nor the archive takes. + +The archive holds every local file its proof audit reads (the Lean sources, `proofs/Checks/`, +the inventory, the explanations and the mapped semantic and native files) and needs nothing +from `dev/`, `.git` or a sibling checkout. Lean and the pinned dependencies are downloaded. + +## Adding or changing a theorem + +1. Find the rule in `docs/semantics.md`, who calls it and the intended claim. List the exact + assumptions, the degenerate cases (zero, empty, all-zero weights) and known counterexamples. + Settle an ambiguity in the contract before choosing a convenient formal statement. +2. Write the plain explanation of the statement and of the proof first (next section), and have + the definitions and statement reviewed before the Lean proof. Check the expanded types and + assumptions, that the intended domain is not empty, and member identity and exact integer + rules. Use concrete cases that satisfy the assumptions and cases that break a necessary one. +3. Write the simple model, then the supporting lemmas, then the theorem. Keep the definitions + that state what is computed separate from any faster evaluator and from the proof itself. + No unfinished proof enters the project. +4. Add the theorem to `proofs/theorems.json`, import its module from its root file, and add its + examples to `proofs/cases.json` with expected values derived by hand, never generated from + Lean or from the native code. A comparison with the native code gets a plausible wrong variant + that the comparison rejects. +5. Run `bash dev/proofs/run.sh check`, `replay` and `test`, and `bridge` for a connected theorem. + A change to native code still runs its own checks under `AGENTS.md`; a proof replaces none. +6. Get an independent review of the statement, definitions, domain and evidence, by a reviewer + able to check the mathematical argument, and the readability review described below. The + review keeps what is proved about the model apart from evidence about the implementation. +7. Land the definitions, proofs, inventory, explanations, cases and any contract change together. + +A theorem is accepted when it has all of the following: + +- a statement reviewed against `docs/semantics.md`, with its domain written in `theorems.json`; +- a Lean proof that builds with warnings as errors and depends only on the standard axioms; +- a plain explanation of the statement and the proof, with a worked example and a boundary + example, and a failing case for every assumption that can fail; +- doc comments on every project declaration, private helpers included; +- its pins recorded in `theorems.json` and the gate passing (`check`, `replay`, `test`, and + `bridge` when it is connected to native code). + +Changing native code can leave a theorem true but break its link to the implementation; +changing the model or a dependency can invalidate the proof evidence. In either case review the +affected records; a green report from older inputs does not carry over. + +## Plain explanations + +Every theorem and its proof, supporting lemmas included, is explained so that an engineer who +knows the library, has no mathematical training and does not read Lean can follow it. This is a +condition of acceptance, not documentation added afterwards. Each theorem has its own section in +a page under `docs/formal/theorems/`, marked by an anchor named after its ID +(``). [round-robin.md](../../docs/formal/theorems/round-robin.md) shows +the expected form. A section explains: + +- the practical question and the result in ordinary words: what is split, carried, bounded or + kept, and why it matters to a caller; +- every symbol and term at first use, with units, and each assumption as a concrete operating + condition, zero and empty cases included; +- a small worked example with its actual inputs, intermediate steps and result, checked by an + executable case; +- the proof as a sequence of steps: what is known, why the next conclusion follows and which + earlier fact it uses; for an induction, a bound or a transformation, the reasoning itself, not + only the name of the technique; +- each supporting lemma's meaning and why it is needed, and each mathlib fact used, in plain + words where it is used; +- the formal declaration and the library behaviour it describes, the conditions under which it + applies, and a concrete failing case for each necessary restriction. + +Examples answer a concrete question. Each theorem has a representative example and a boundary +example; where an assumption can fail, a contrasting example shows the failure. Choose small +inputs that expose the rule (unequal weights, an explicit member order where ties matter, exact +units), explain every input, step and output so a reader can redo the calculation by hand, derive +the expected values before running any code, and compare outputs exactly. A formula, a code block +or "it is easy to see" without a walkthrough does not count. + +In Lean, every definition and theorem has a doc comment saying what it means in ordinary words, +and each substantive proof block has a comment naming its reasoning step. Explanations and +comments follow the actual proof; they never state a different rule or hide an assumption behind +an analogy. + +The checker enforces doc comments, explanation anchors and the examples. A human reviewer checks +the rest: an independent reader restates the result, its conditions and why it holds without +reading Lean, recalculates the examples and says what each one shows. Missing, misleading or +unexplained examples block acceptance even when Lean accepts the proof. + +## Modelling rules + +- Prove properties over unbounded integers and, separately, that the machine values stay in + range: amounts, cumulative counters, products, intermediate sums, sentinels and refusal limits. + A proof over natural numbers does not show that a C++ expression cannot overflow. Rounding of + floating-point inputs and outputs is not covered unless a theorem states it. +- A graph model keeps edge identity: parallel edges, self-loops, the EdgeId order, and the + difference between an edge of capacity 0 and an excluded edge. +- Do not add theorems that hold only because of the choice of a type. + +## The checker's pins + +`proofs/theorems.json` lists accepted theorems only, each with a stable ID (`NGC-AP-001`), its +module and declaration, a short claim, its domain, the semantic sections it rests on (by +heading), its explanation and anchor, its example IDs, and its implementation status: `tested` +(compared with native code by a named bridge) or `unconnected`. Planned work is not listed. + +The audit (`lake exe proof-audit` with `proofs/Checks/audit.py`) builds digests from the built +Lean environment and compares them with the recorded ones: the elaborated statement, the type and +body of every project definition it depends on, the explanation page, the cited semantic +sections, the cited native source files, the toolchain and dependency pins, and the checker's own +sources. Any change fails the check until the record is reviewed and recorded again. The native +digests cover whole files, so even an edit that keeps behaviour needs a review of the mapping. + +The check also fails on a missing or duplicate ID, an unresolved declaration, an empty inventory, +a Lean source not listed or not imported, a missing explanation or anchor, a missing doc comment, +a declaration outside the project namespace, examples that differ from `cases.json`, and missing +evidence. A proof may depend only on the axioms `propext`, `Classical.choice` and `Quot.sound`; +`sorry`, project axioms, `native_decide`, `unsafe` code, options that skip the kernel and +commands that add declarations unchecked are refused. Audit metaprogramming lives only in +`proofs/Checks/`. + +`bash dev/proofs/run.sh replay` also replays every declaration in a fresh environment with +`leanchecker --fresh`, which reuses Lean's own kernel (it is not an independent kernel); the +release requires it. Set `PROOFS_DEPENDENCY_ORIGIN` truthfully (`cache+local`, `source` or +`mixed`). + +`bash dev/proofs/run.sh test` runs the gate's negative controls on a disposable copy: a weakened +definition or statement, a weakened definition imported from another module, an imported +`sorry` or axiom, a kernel-skip option, an unimported module, an empty inventory, a missing +theorem, changed semantic or native inputs, a missing anchor or doc comment (private and root +helpers included), a declaration outside the namespace and a disabled audit must each fail with +the expected message; a false theorem added with kernel checking skipped inside a check module +passes the audit and must fail the replay. They test the gate, not the mathematics. + +`bash dev/proofs/run.sh record` rewrites the recorded digests after an intended change. It +approves nothing: inspect the diff, get the mathematical and readability reviews, then run the +checks. Never use it to make a drift failure go away; CI refuses it. + +## Pins + +The project pins one mathlib release by Git revision, Lean at the version that revision names, +and every transitive revision in `lake-manifest.json`. Routine checks never run `lake update` or +follow a branch; a mathlib cache download is a build aid, must match the pins, and is not proof +evidence. Upgrading a pin is a reviewed change that rebuilds every proof and reruns the audit, +the replay and the controls. + +## CI and release + +`.github/workflows/proofs.yml` ("Lean verification") runs on every pull request and every branch +push, with no path filters, and can be started by hand. Its jobs: + +- **Lean proofs**: the check, the replay and the negative controls, on Ubuntu; +- **Lean distribution**: builds the sdist and wheel with planted files in `proofs/.lake/` and + `build/proofs/`, checks their exact contents, extracts the archive into a directory without + `.git` or `dev/`, builds and audits the proofs there and replays them, and records the + archive's and wheels' SHA-256; +- **Lean bridge**: installs that wheel and compares it exactly with the model cases. + +A pull request merges only when these three pass. For a version tag, `release.yml` calls the same +workflow on the release's own sdist and wheels, and publication waits for it; the publish job +checks again that the files it uploads are the ones whose proofs were checked. Push the release +branch first and let the workflow pass there before pushing the tag +([CONTRIBUTING.md](../../CONTRIBUTING.md), "Release Process"). + +## References + +- Lean axioms and incomplete proofs: +- Lake configuration and manifest: +- mathlib projects and cache: +- Kernel replay checker: +- Reusable GitHub workflows: diff --git a/dev/proofs/bridge.py b/dev/proofs/bridge.py new file mode 100644 index 0000000..c8ad5e1 --- /dev/null +++ b/dev/proofs/bridge.py @@ -0,0 +1,177 @@ +"""Compare audited model cases with a specifically selected installed native wheel. + +The public calls cover ordered source injection and cumulative offers beyond 2^64. +No claim of universal native refinement follows from these finite comparisons. +""" + +from __future__ import annotations + +import argparse +import hashlib +import importlib.metadata +import importlib.util +import json +import sys +import tomllib +import zipfile +from pathlib import Path + +ROOT = Path(__file__).resolve().parents[2] + + +def sha(data: bytes) -> str: + return hashlib.sha256(data).hexdigest() + + +def exact(actual: object, expected: object, label: str) -> None: + if type(actual) is not type(expected): + raise ValueError(f"{label}: scalar/container type differs") + if isinstance(expected, list): + if len(actual) != len(expected): + raise ValueError(f"{label}: length differs") + for i, (left, right) in enumerate(zip(actual, expected, strict=True)): + exact(left, right, f"{label}[{i}]") + elif actual != expected: + raise ValueError(f"{label}: {actual!r} != {expected!r}") + + +def main() -> None: + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--proof-report", type=Path, required=True) + parser.add_argument("--wheel", type=Path, required=True) + parser.add_argument("--output", type=Path, required=True) + args = parser.parse_args() + spec = importlib.util.spec_from_file_location( + "proof_audit", ROOT / "proofs/Checks/audit.py" + ) + audit = importlib.util.module_from_spec(spec) + spec.loader.exec_module(audit) + inventory = audit.read_json(ROOT / "proofs/theorems.json") + inputs = audit.preflight(inventory) + inputs["proofs/cases.json"] = sha((ROOT / "proofs/cases.json").read_bytes()) + proof = audit.read_json(args.proof_report) + if ( + proof.get("status") != "PASS" + or proof.get("inventory_sha256") != audit.digest(audit.canonical(inventory)) + or proof.get("source_inputs") != dict(sorted(inputs.items())) + or proof.get("accepted") != [r["id"] for r in inventory["theorems"]] + ): + raise ValueError("bridge requires complete current proof evidence") + + import _netgraph_core as native + + import netgraph_core as ngc + + expected_version = tomllib.loads((ROOT / "pyproject.toml").read_text())["project"][ + "version" + ] + if importlib.metadata.version("netgraph-core") != expected_version: + raise ValueError("installed package version differs from this source tree") + # Check bytes, not just a version string: the selected wheel is the one under test. + with zipfile.ZipFile(args.wheel) as archive: + for module in (ngc, native): + path = Path(module.__file__).resolve() + if not path.is_relative_to(Path(sys.prefix).resolve()): + raise ValueError( + f"module is not installed in the selected environment: {path}" + ) + member = "netgraph_core/__init__.py" if module is ngc else path.name + if sha(path.read_bytes()) != sha(archive.read(member)): + raise ValueError( + f"installed module differs from selected wheel: {member}" + ) + cases = audit.read_json(ROOT / "proofs/cases.json") + checked = [] + for case in cases["cases"]: + if case["kind"] != "rr": + continue + k = case["members"] + graph = ngc.Graph(k + 1, list(range(k)), [k] * k, [100] * k, [1] * k, 1.0) + policy = ngc.FlowPolicy( + ngc.FlowLedger(graph), + list(reversed(range(k))), + k, + ngc.FlowPolicyConfig( + routing=ngc.ShortestPaths(), admission=ngc.Admission.LOSSY + ), + ) + result = policy.place(case["total"]) + exact( + [row.source for row in result.by_source], + list(range(k)), + case["id"] + " source order", + ) + exact([row.offered for row in result.by_source], case["expected"], case["id"]) + checked.append(case["id"]) + + graph = ngc.Graph(4, [0, 1, 2], [3, 3, 3], [1, 1, 1], [1, 2, 3], 1.0) + sp = ngc.FlowPolicy( + ngc.FlowLedger(graph), + [2, 0, 1], + 3, + ngc.FlowPolicyConfig( + routing=ngc.ShortestPaths(), admission=ngc.Admission.LOSSY + ), + ) + program = sp.replace(0).program + pinned = ngc.FlowPolicy( + ngc.FlowLedger(graph), + [2, 0, 1], + 3, + ngc.FlowPolicyConfig( + routing=ngc.Pinned(program), admission=ngc.Admission.LOSSY + ), + ) + policies = [("ShortestPaths", sp), ("Pinned", pinned)] + for kind, policy in policies: + previous = [0, 0, 0] + for index, case in enumerate(cases["public_sequence"]): + result = policy.place(case["offer"]) + exact( + [row.source for row in result.by_source], + [0, 1, 2], + f"{kind} source order {index}", + ) + actual = [row.offered for row in result.by_source] + exact(result.offered, case["total"], f"{kind} total {index}") + exact(actual, case["expected"], f"{kind} shares {index}") + if index == 1: + exact( + [a - b for a, b in zip(actual, previous, strict=True)], + [0, 0, 1], + f"{kind} continues the circle", + ) + previous = actual + if cases["public_sequence"][-1]["total"] <= 2**64: + raise ValueError("public sequence no longer exercises the high word") + report = { + "status": "PASS", + "scope": "finite native comparisons, no universal refinement", + "proof_report_sha256": sha(args.proof_report.read_bytes()), + "inventory_sha256": proof["inventory_sha256"], + "source_inputs": proof["source_inputs"], + "interpreter": sys.executable, + "package": ngc.__file__, + "extension": native.__file__, + "version": importlib.metadata.version("netgraph-core"), + "extension_sha256": sha(Path(native.__file__).read_bytes()), + "wheel_sha256": sha(args.wheel.read_bytes()), + "round_robin_cases": checked, + "public_policies": [kind for kind, _ in policies], + "sequence_steps_per_policy": len(cases["public_sequence"]), + "largest_cumulative_offer": cases["public_sequence"][-1]["total"], + "not_covered": [ + "all machine inputs", + "mod_u128 refinement", + "near-2^127 native execution", + ], + } + args.output.parent.mkdir(parents=True, exist_ok=True) + args.output.write_text(json.dumps(report, indent=2, sort_keys=True) + "\n") + print( + f"Native bridge: PASS ({len(checked)} RR cases, {len(policies)} policies, {len(cases['public_sequence'])} steps each)" + ) + + +if __name__ == "__main__": + main() diff --git a/dev/proofs/package.py b/dev/proofs/package.py new file mode 100644 index 0000000..761127c --- /dev/null +++ b/dev/proofs/package.py @@ -0,0 +1,95 @@ +"""Check exact source/wheel payloads and bind release evidence to published bytes.""" + +from __future__ import annotations + +import argparse +import hashlib +import importlib.util +import json +import tarfile +import zipfile +from pathlib import Path, PurePosixPath + +ROOT = Path(__file__).resolve().parents[2] + + +def sha(path: Path) -> str: + return hashlib.file_digest(path.open("rb"), "sha256").hexdigest() + + +def main() -> None: + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--sdist", type=Path, required=True) + parser.add_argument("--wheel", type=Path, action="append", default=[]) + parser.add_argument("--receipt", type=Path, required=True) + parser.add_argument("--extract", type=Path) + parser.add_argument("--verify", action="store_true") + args = parser.parse_args() + if args.verify: + report = json.loads(args.receipt.read_text()) + if report["sdist"] != {"name": args.sdist.name, "sha256": sha(args.sdist)}: + raise ValueError( + "published sdist differs from the archive whose proofs were checked" + ) + if {path.name: sha(path) for path in args.wheel} != report["wheels"]: + raise ValueError("published wheels differ from the checked release wheels") + print("Published artifact identities: PASS") + return + spec = importlib.util.spec_from_file_location( + "contents", ROOT / "dev/stubs/check_contents.py" + ) + contents = importlib.util.module_from_spec(spec) + spec.loader.exec_module(contents) + with tarfile.open(args.sdist) as archive: + members = [member for member in archive if not member.isdir()] + tops = {PurePosixPath(member.name).parts[0] for member in members} + if len(tops) != 1: + raise ValueError("sdist has no single root") + source_names = [] + for member in members: + name = PurePosixPath(member.name) + if ( + not member.isfile() + or ".." in name.parts + or name.is_absolute() + or len(name.parts) < 2 + ): + raise ValueError(f"unsafe/nonregular sdist entry: {member.name}") + source_names.append(str(PurePosixPath(*name.parts[1:]))) + if len(set(source_names)) != len(source_names): + raise ValueError("duplicate sdist entry") + intended = contents.checkout_files(ROOT) + expected = {name for name in intended if contents.shipped(name)} | {"PKG-INFO"} + if set(source_names) != expected: + raise ValueError( + f"sdist payload differs: missing={sorted(expected - set(source_names))}, extra={sorted(set(source_names) - expected)}" + ) + if args.extract: + if args.extract.exists() and any(args.extract.iterdir()): + raise ValueError("extract destination must be empty") + args.extract.mkdir(parents=True, exist_ok=True) + for member, relative in zip(members, source_names, strict=True): + output = args.extract / relative + output.parent.mkdir(parents=True, exist_ok=True) + output.write_bytes(archive.extractfile(member).read()) + output.chmod(member.mode & 0o777) + for wheel in args.wheel: + with zipfile.ZipFile(wheel) as archive: + names = [name for name in archive.namelist() if not name.endswith("/")] + problems = contents.problems(names, source_names, intended) + if problems: + raise ValueError("; ".join(problems)) + report = { + "sdist": {"name": args.sdist.name, "sha256": sha(args.sdist)}, + "wheels": {path.name: sha(path) for path in args.wheel}, + "sdist_members": sorted(source_names), + } + args.receipt.parent.mkdir(parents=True, exist_ok=True) + args.receipt.write_text(json.dumps(report, indent=2, sort_keys=True) + "\n") + print( + f"Proof distribution payload: PASS ({len(source_names)} source files; {len(args.wheel)} wheels)" + ) + + +if __name__ == "__main__": + main() diff --git a/dev/proofs/replay_report.py b/dev/proofs/replay_report.py new file mode 100644 index 0000000..9f89f43 --- /dev/null +++ b/dev/proofs/replay_report.py @@ -0,0 +1,26 @@ +"""Bind a successful standalone kernel replay to its current model-check evidence.""" + +from __future__ import annotations + +import hashlib +import json +import sys +from pathlib import Path + +work = Path(sys.argv[1]) +check = json.loads((work / "check.json").read_text()) +assert check["status"] == "PASS" and check["accepted"] +assert check["dependency_origin"] in {"cache+local", "source", "mixed"}, ( + "State PROOFS_DEPENDENCY_ORIGIN=cache+local|source|mixed truthfully before release replay" +) +report = { + "status": "PASS", + "checker": f"Lean {check['lean_version']} leanchecker --fresh Checks (same Lean kernel)", + "check_sha256": hashlib.sha256((work / "check.json").read_bytes()).hexdigest(), + "log_sha256": hashlib.sha256((work / "replay.log").read_bytes()).hexdigest(), + "inventory_sha256": check["inventory_sha256"], + "source_inputs": check["source_inputs"], + "dependency_builds": check["dependency_origin"], +} +(work / "replay.json").write_text(json.dumps(report, indent=2, sort_keys=True) + "\n") +print(f"Standalone kernel replay: {work / 'replay.json'}") diff --git a/dev/proofs/run.sh b/dev/proofs/run.sh new file mode 100644 index 0000000..3720a5f --- /dev/null +++ b/dev/proofs/run.sh @@ -0,0 +1,50 @@ +#!/usr/bin/env bash +# Explicit Lean checks. Normal Python/CMake builds never call this script. +set -euo pipefail +cd "$(dirname "${BASH_SOURCE[0]}")/../.." +proof_root=$PWD +proof_python=${PROOFS_PYTHON:-python3} +proof_python=$("$proof_python" -I -c 'import sys; print(sys.executable)') +proof_mode=${1:-} +proof_output=${PROOFS_OUTPUT:-"$proof_root/build/proofs"} +mkdir -p "$proof_output" +proof_output=$(cd "$proof_output" && pwd) +export PROOFS_PYTHON="$proof_python" + +check() { + "$proof_python" -I -B proofs/Checks/audit.py --preflight + command -v lake >/dev/null || { echo 'Install the toolchain in proofs/lean-toolchain and put lake on PATH.' >&2; return 1; } + rm -f "$proof_output/check.json" + (cd proofs && lake --wfail build && lake exe proof-audit --output "$proof_output/check.json") \ + > "$proof_output/check.log" 2>&1 \ + || { tail -60 "$proof_output/check.log" >&2; return 1; } + "$proof_python" -I -B proofs/Checks/audit.py --verify-report "$proof_output/check.json" + echo "Lean model check: $proof_output/check.json" +} + +case "$proof_mode" in + check) check ;; + record) + [[ -z ${CI:-} ]] || { echo 'Do not record reviewed bindings in CI.' >&2; exit 1; } + (cd proofs && lake --wfail build && PROOFS_RECORD=1 lake exe proof-audit --record) + ;; + replay) + check + (cd proofs && lake env leanchecker --fresh Checks) > "$proof_output/replay.log" 2>&1 \ + || { tail -60 "$proof_output/replay.log" >&2; exit 1; } + "$proof_python" -I -B proofs/Checks/audit.py --verify-report "$proof_output/check.json" + "$proof_python" -I -B dev/proofs/replay_report.py "$proof_output" + ;; + test) + "$proof_python" -I -B dev/proofs/test_tool.py + ;; + bridge) + : "${PROOFS_NATIVE_PYTHON:?Set PROOFS_NATIVE_PYTHON to the interpreter with the selected wheel installed}" + : "${PROOFS_WHEEL:?Set PROOFS_WHEEL to that exact wheel file}" + "$proof_python" -I -B proofs/Checks/audit.py --verify-report "$proof_output/check.json" + "$PROOFS_NATIVE_PYTHON" -I -B dev/proofs/bridge.py \ + --proof-report "$proof_output/check.json" --wheel "$PROOFS_WHEEL" \ + --output "$proof_output/bridge.json" + ;; + *) echo 'Usage: bash dev/proofs/run.sh check|record|replay|test|bridge' >&2; exit 2 ;; +esac diff --git a/dev/proofs/test_tool.py b/dev/proofs/test_tool.py new file mode 100644 index 0000000..270e059 --- /dev/null +++ b/dev/proofs/test_tool.py @@ -0,0 +1,440 @@ +"""Real-discovery negative controls for the proof acceptance entry point. + +Each mutation is made in a disposable copy. Dependencies are shared read-only by convention; +their checked-out revisions and clean state are checked by the audit. Product inputs are not +modified. Compilable weakened statements/definitions must fail the reviewed-binding check. +""" + +from __future__ import annotations + +import hashlib +import importlib.util +import json +import os +import shutil +import subprocess +import sys +import tempfile +from pathlib import Path + +ROOT = Path(__file__).resolve().parents[2] +PROOFS = ROOT / "proofs" +MODEL = "proofs/NetGraphCore/Apportionment/RoundRobin.lean" + + +def load(path: Path, name: str): + spec = importlib.util.spec_from_file_location(name, path) + module = importlib.util.module_from_spec(spec) + spec.loader.exec_module(module) + return module + + +def main() -> None: + inventory = json.loads((PROOFS / "theorems.json").read_text()) + tracked = {MODEL: (ROOT / MODEL).read_bytes()} + for record in inventory["theorems"]: + for ref in [ + *record["semantics"], + *record["implementation"]["sources"], + record["explanation"], + ]: + tracked[ref["file"]] = (ROOT / ref["file"]).read_bytes() + work_parent = ROOT / "build/proofs" + work_parent.mkdir(parents=True, exist_ok=True) + with tempfile.TemporaryDirectory(prefix="controls-", dir=work_parent) as temporary: + root = Path(temporary) + shutil.copytree(PROOFS, root / "proofs", ignore=shutil.ignore_patterns(".lake")) + shutil.copytree(ROOT / "dev/proofs", root / "dev/proofs") + for name, data in tracked.items(): + path = root / name + path.parent.mkdir(parents=True, exist_ok=True) + path.write_bytes(data) + (root / "proofs/.lake").mkdir() + (root / "proofs/.lake/packages").symlink_to( + PROOFS / ".lake/packages", target_is_directory=True + ) + baseline = { + str(path.relative_to(root)): path.read_bytes() + for path in root.rglob("*") + if path.is_file() and ".lake" not in path.parts + } + environment = { + **os.environ, + "PROOFS_PYTHON": sys.executable, + "PROOFS_OUTPUT": str(root / "evidence"), + } + environment.pop("PROOFS_RECORD", None) + + def run(label: str, expected: str | None = None, mode: str = "check") -> None: + result = subprocess.run( + ["bash", "dev/proofs/run.sh", mode], + cwd=root, + env=environment, + capture_output=True, + text=True, + timeout=300, + ) + output = result.stdout + result.stderr + (work_parent / f"control-{label}.log").write_text(output) + if expected is None: + if result.returncode: + raise AssertionError(f"clean control failed: {output[-6000:]}") + elif result.returncode == 0 or expected not in output: + raise AssertionError( + f"{label}: wrong gate outcome; wanted {expected!r}: {output[-6000:]}" + ) + print( + f"{label}: {'PASS' if expected is None else 'rejected as required'}", + flush=True, + ) + + def restore() -> None: + for path in root.rglob("*"): + if ( + path.is_file() + and ".lake" not in path.parts + and not path.is_relative_to(root / "evidence") + ): + if str(path.relative_to(root)) not in baseline: + path.unlink() + for name, data in baseline.items(): + (root / name).write_bytes(data) + + def edit(name: str, old: str, new: str) -> None: + path = root / name + text = path.read_text() + if old not in text: + raise AssertionError(f"plant not applied: {name}: {old}") + path.write_text(text.replace(old, new, 1)) + + def save_inventory(data: dict) -> None: + (root / "proofs/theorems.json").write_text( + json.dumps(data, indent=2) + "\n" + ) + + run("clean") + edit( + MODEL, + "@[expose] def amountLimit : Nat := 2 ^ 62", + "@[expose] def amountLimit : Nat := 2 ^ 61", + ) + run("weakened-definition", "reviewed statement/definition digest drift") + restore() + edit( + MODEL, + "previous % members + extra < 2 ^ 63 ∧\n 0 ≤ increments previous extra members recipient ∧\n increments previous extra members recipient < (amountLimit : Int)", + "previous % members + extra < 2 ^ 63 ∧\n 0 ≤ increments previous extra members recipient", + ) + run("weakened-statement", "reviewed statement/definition digest drift") + restore() + # An equivalent synthetic candidate imports a mathematical constant from an + # owned checker module, outside the mathematical namespace. Its definition + # must enter the fingerprint too. Candidate fingerprints are test setup in + # this disposable directory; the repository's reviewed inventory is untouched. + (root / "proofs/Checks/Scalar.lean").write_text( + "module\npublic section\nnamespace Support\n" + "/-- The synthetic candidate uses the same amount limit as the real model. -/\n" + "@[expose] def importedLimit : Nat := 2 ^ 62\nend Support\nend\n" + ) + edit(MODEL, "module\n", "module\npublic import Checks.Scalar\n") + edit( + MODEL, + "def amountLimit : Nat := 2 ^ 62", + "def amountLimit : Nat := Support.importedLimit", + ) + edit( + MODEL, + "norm_num [amountLimit]", + "norm_num [amountLimit, Support.importedLimit]", + ) + changed = json.loads((root / "proofs/theorems.json").read_text()) + changed["modules"].append("Checks/Scalar.lean") + save_inventory(changed) + edit( + "proofs/Checks.lean", + "public import Checks.Main", + "public import Checks.Main\npublic import Checks.Scalar", + ) + built = subprocess.run( + ["lake", "--wfail", "build"], + cwd=root / "proofs", + env=environment, + capture_output=True, + text=True, + timeout=300, + ) + (work_parent / "control-imported-definition-setup.log").write_text( + built.stdout + built.stderr + ) + built.check_returncode() + exported = subprocess.run( + ["lake", "exe", "proof-audit", "--metadata"], + cwd=root / "proofs", + env=environment, + capture_output=True, + text=True, + check=True, + timeout=300, + ) + metadata = { + item["name"]: item for item in json.loads(exported.stdout)["declarations"] + } + audit = load(root / "proofs/Checks/audit.py", "imported_definition_controls") + for record in changed["theorems"]: + record["binding"] = audit.binding(record["declaration"], metadata) + if not any( + "Support.importedLimit" in r["binding"]["local_closure"] + for r in changed["theorems"] + ): + raise AssertionError( + "owned imported definition omitted from actual constant closure" + ) + save_inventory(changed) + run("imported-definition-clean") + edit("proofs/Checks/Scalar.lean", "2 ^ 62", "2 ^ 61") + run( + "imported-definition-weakened", "reviewed statement/definition digest drift" + ) + restore() + (root / "proofs/Checks/Scalar.lean").write_text( + "module\npublic def undocumentedImported : Nat := 0\n" + ) + changed = json.loads((root / "proofs/theorems.json").read_text()) + changed["modules"].append("Checks/Scalar.lean") + save_inventory(changed) + edit( + "proofs/Checks.lean", + "public import Checks.Main", + "public import Checks.Main\npublic import Checks.Scalar", + ) + run("checker-helper-doc", "missing declaration doc comment") + restore() + edit( + MODEL, + "namespace NetGraphCore.Apportionment", + "namespace NetGraphCore.Apportionment\nset_option debug.skipKernelTC true", + ) + run("kernel-skip", "forbidden proof command or kernel bypass") + restore() + # An imported postulate is deliberately outside the mathematical source scanner. + # Transitive axiom inspection must reject its use even though Lean accepts it. + (root / "proofs/Checks/Untrusted.lean").write_text( + "module\npublic section\nnamespace Untrusted\n" + "/-- A deliberately untrusted postulate for the transitive-axiom control. -/\n" + "axiom forge {p : Prop} : p\nend Untrusted\nend\n" + ) + edit(MODEL, "module\n", "module\nimport Checks.Untrusted\n") + path = root / MODEL + text = path.read_text() + start = text.index("theorem native_increment_bounds") + body = text.index(" := by", start) + len(" := by") + path.write_text( + text[:body] + + "\n have _ := hm\n have _ := hi\n have _ := hk\n have _ := hv\n exact Untrusted.forge\n\nend\nend NetGraphCore.Apportionment\n" + ) + changed = json.loads((root / "proofs/theorems.json").read_text()) + changed["modules"].append("Checks/Untrusted.lean") + save_inventory(changed) + edit( + "proofs/Checks.lean", + "public import Checks.Main", + "public import Checks.Main\npublic import Checks.Untrusted", + ) + run("imported-axiom", "unaccepted transitive axioms") + restore() + (root / "proofs/Checks/Untrusted.lean").write_text( + "module\npublic theorem unfinished : True := by sorry\n" + ) + changed = json.loads((root / "proofs/theorems.json").read_text()) + changed["modules"].append("Checks/Untrusted.lean") + save_inventory(changed) + edit( + "proofs/Checks.lean", + "public import Checks.Main", + "public import Checks.Main\npublic import Checks.Untrusted", + ) + run("imported-sorry", "declaration uses `sorry`") + restore() + # A trusted-looking axiom list cannot establish kernel validity. Deliberately + # corrupt an imported environment outside the mathematical-source scanner. + # The ordinary audit succeeds, but fresh replay must reject the false proof. + (root / "proofs/Checks/Untrusted.lean").write_text( + "module\npublic import Lean\nopen Lean Elab Command\n" + "set_option debug.skipKernelTC true in\n" + "run_cmd liftCoreM <| addDecl (.thmDecl {\n" + " name := `Untrusted.bad, levelParams := [], type := .const ``False [],\n" + " value := .const ``True.intro [] })\n" + ) + changed = json.loads((root / "proofs/theorems.json").read_text()) + changed["modules"].append("Checks/Untrusted.lean") + save_inventory(changed) + edit( + "proofs/Checks.lean", + "public import Checks.Main", + "public import Checks.Main\npublic import Checks.Untrusted", + ) + run("kernel-plant-audit") + run("kernel-plant-replay", "declaration type mismatch", mode="replay") + restore() + (root / "proofs/Checks/Forgotten.lean").write_text("module\n") + run("unimported-module", "module inventory differs") + restore() + changed = json.loads((root / "proofs/theorems.json").read_text()) + changed["theorems"] = [] + save_inventory(changed) + run("empty-inventory", "empty or unsupported theorem inventory") + restore() + changed = json.loads((root / "proofs/theorems.json").read_text()) + changed["theorems"].pop() + save_inventory(changed) + run("missing-theorem", "inventory differs from theorem ID markers") + restore() + edit("docs/semantics.md", "Both are monotone:", "Both are not monotone:") + run("semantic-drift", "applicability digest drift") + restore() + with (root / "src/route_kernels.cpp").open("a") as stream: + stream.write("\n// changed mapped input\n") + run("native-drift", "applicability digest drift") + restore() + explanation = "docs/formal/theorems/round-robin.md" + edit(explanation, '', "") + changed = json.loads((root / "proofs/theorems.json").read_text()) + new_hash = hashlib.sha256((root / explanation).read_bytes()).hexdigest() + for record in changed["theorems"]: + record["mapped_inputs"]["explanation"]["sha256"] = new_hash + save_inventory(changed) + run("missing-explanation-anchor", "missing explanation anchor") + restore() + text = (root / MODEL).read_text() + start = text.index("/-- The share computed") + end = text.index("-/", start) + 2 + (root / MODEL).write_text(text[:start] + text[end:]) + run("missing-doc-comment", "missing declaration doc comment") + restore() + edit( + MODEL, + "end\nend NetGraphCore.Apportionment", + "private def forgotten : Nat := 0\n\nend\nend NetGraphCore.Apportionment", + ) + run("private-helper-doc", "missing declaration doc comment") + restore() + for label, declaration in [ + ( + "protected-helper-doc", + "protected theorem undocumented : (1 : Nat) = 1 := rfl", + ), + ("indented-helper-doc", " theorem undocumented : (1 : Nat) = 1 := rfl"), + ("instance-doc", "instance undocumented : Inhabited (Fin 1) := ⟨0⟩"), + ("structure-doc", "structure Undocumented where\n value : Nat"), + ("opaque-doc", "opaque undocumented : Nat := 0"), + ( + "where-helper-doc", + "/-- The outer value has a doc, but its written helper does not. -/\ndef undocumentedWhere : Nat := aux 1\nwhere\n aux (n : Nat) : Nat := n", + ), + ]: + edit( + MODEL, + "end\nend NetGraphCore.Apportionment", + declaration + "\n\nend\nend NetGraphCore.Apportionment", + ) + run(label, "missing declaration doc comment") + restore() + with (root / "proofs/NetGraphCore.lean").open("a") as stream: + stream.write( + "\nnamespace NetGraphCore\npublic def undocumented : Nat := 0\nend NetGraphCore\n" + ) + run("root-helper-doc", "missing declaration doc comment") + restore() + with (root / MODEL).open("a") as stream: + stream.write( + "\nnamespace Elsewhere\n/-- An owned helper in the wrong namespace. -/\npublic def misplaced : Nat := 0\nend Elsewhere\n" + ) + run("misplaced-namespace", "mathematical declaration outside project namespace") + restore() + edit( + MODEL, + "end\nend NetGraphCore.Apportionment", + "/-- A documented protected helper, referencing NGC-AP-001 in prose. -/\n" + "protected theorem documented : (1 : Nat) = 1 := rfl\n" + " /-- An indented helper with its own explanation. -/\n" + " theorem documentedIndented : (1 : Nat) = 1 := rfl\n\n" + "/-- A documented record; its constructor is generated by Lean. -/\n" + "structure Documented where\n /-- The stored whole-unit count. -/\n value : Nat\n\n" + "/-- A documented value with a written local helper. -/\n" + "def documentedWhere : Nat := aux 1\nwhere\n" + " /-- Return the supplied whole-unit count unchanged. -/\n" + " aux (n : Nat) : Nat := n\n\n" + "end\nend NetGraphCore.Apportionment", + ) + run("documented-variants") + restore() + main_path = root / "proofs/Checks/Main.lean" + text = main_path.read_text() + start = text.index("public unsafe def main") + main_path.write_text( + text[:start] + + "public unsafe def main (_args : List String) : IO UInt32 := pure 0\n" + ) + # Even an explicitly rebound, disabled audit must not turn a missing report into green. + changed = json.loads((root / "proofs/theorems.json").read_text()) + changed["audit_sources"]["Checks/Main.lean"] = hashlib.sha256( + main_path.read_bytes() + ).hexdigest() + save_inventory(changed) + run("disabled-audit", "missing proof evidence file") + restore() + run("restored-clean") + for name, data in tracked.items(): + if (ROOT / name).read_bytes() != data: + raise AssertionError(f"control changed product input: {name}") + bridge = load(ROOT / "dev/proofs/bridge.py", "bridge_controls") + for wrong in ([3, 3, 4], [4.0, 3, 3], [10, 0, 0]): + try: + bridge.exact(wrong, [4, 3, 3], "negative control") + except ValueError: + continue + raise AssertionError(f"bridge accepted wrong result {wrong}") + # The publish-time verifier must reject changed bytes of the already checked archive. + with tempfile.TemporaryDirectory( + prefix="artifact-identity-", dir=work_parent + ) as temporary: + work = Path(temporary) + archive = work / "candidate.tar.gz" + archive.write_bytes(b"identity-control fixture; not a real source archive") + receipt = work / "receipt.json" + receipt.write_text( + json.dumps( + { + "sdist": { + "name": archive.name, + "sha256": hashlib.sha256(archive.read_bytes()).hexdigest(), + }, + "wheels": {}, + } + ) + ) + command = [ + sys.executable, + "-I", + "-B", + str(ROOT / "dev/proofs/package.py"), + "--verify", + "--sdist", + str(archive), + "--receipt", + str(receipt), + ] + subprocess.run(command, check=True, capture_output=True) + archive.write_bytes(archive.read_bytes() + b"changed") + wrong = subprocess.run(command, capture_output=True, text=True) + if wrong.returncode == 0 or "published sdist differs" not in wrong.stderr: + raise AssertionError( + "publish identity check accepted changed archive bytes" + ) + print( + "Proof gate controls: PASS; original mapped inputs unchanged; bridge rejects wrong order, type and distribution." + ) + + +if __name__ == "__main__": + main() diff --git a/dev/stubs/check_contents.py b/dev/stubs/check_contents.py index 285da49..1470eee 100644 --- a/dev/stubs/check_contents.py +++ b/dev/stubs/check_contents.py @@ -4,10 +4,11 @@ * the sdist holds exactly the intended source files, plus the PKG-INFO the backend writes. The intended files are the checkout's files that git tracks or would track (new files git does - not ignore) under the top-level entries of SDIST_TOP, without tests/reference/. That rule is - the one of pyproject.toml's sdist.include and sdist.exclude, repeated here so that a change - to that list is caught. A file git ignores (a cache, a compiled module, a local tool's - output) or a file outside those entries is refused, and so is an intended file left out; + not ignore) under the top-level entries of SDIST_TOP, without tests/reference/ or + proofs/.lake/. That rule is the one of pyproject.toml's sdist.include and sdist.exclude, + repeated here so that a change to that list is caught. A file git ignores (a cache, a + compiled module, a local tool's output) or a file outside those entries is refused, and so is + an intended file left out; * the wheel holds exactly the package files of the sdist's python/netgraph_core/ under netgraph_core/, one compiled extension module, and its .dist-info directory with the metadata files and both licence notices (the project's and pybind11's); @@ -44,12 +45,13 @@ "bindings/", "docs/", "include/", + "proofs/", "python/", "src/", "tests/", "third_party/", ) -SDIST_LEFT_OUT = ("tests/reference/",) +SDIST_LEFT_OUT = ("tests/reference/", "proofs/.lake/") PACKAGE = "python/netgraph_core/" NEED = { "wheel": [ diff --git a/dev/stubs/test_checks.py b/dev/stubs/test_checks.py index 36c24b4..49b7f1f 100644 --- a/dev/stubs/test_checks.py +++ b/dev/stubs/test_checks.py @@ -51,7 +51,12 @@ "pyproject.toml", "bindings/python/module.cpp", "docs/semantics.md", + "docs/formal/theorems/round-robin.md", "include/netgraph/core/graph.hpp", + "proofs/lean-toolchain", + "proofs/lake-manifest.json", + "proofs/NetGraphCore.lean", + "proofs/Checks/audit.py", "python/netgraph_core/__init__.py", "python/netgraph_core/__init__.pyi", "python/netgraph_core/py.typed", @@ -69,7 +74,10 @@ ".github/workflows/tests.yml", ".superset/config.json", "dev/run-checks.sh", + "dev/proofs/README.md", "tests/reference/policy/README.md", + "proofs/.lake/build/lib/lean/NetGraphCore.olean", + "proofs/.lake/packages/mathlib/Mathlib.lean", ] INFO = "netgraph_core-0.12.0.dist-info/" WHEEL = [ diff --git a/docs/formal/theorems/round-robin.md b/docs/formal/theorems/round-robin.md new file mode 100644 index 0000000..71356ef --- /dev/null +++ b/docs/formal/theorems/round-robin.md @@ -0,0 +1,196 @@ +# Round robin and traffic that arrives in several calls + +Status: mathematical model proofs. Native comparisons cover stated finite cases; they do not +prove that the C++ implementation agrees for every machine input. + +## The question and the quantities + +Suppose three sources take turns sending whole units. The first unit belongs to source 0, +the second to source 1, the third to source 2, and the fourth starts the circle again at 0. +If traffic arrives in several calls, the next call must continue that circle. + +Here `total` is the number of units distributed so far, `members` is the number of sources, +and `recipient` is a source's position in the fixed order, starting at zero. The same arithmetic +can describe ordered outgoing links or tunnel entries. One unit is the graph's resolution `q`; +all calculations here count units, rather than rounded physical rates. For example, five units +at `q = 0.25` are a physical quantity of `1.25`. + +`total / members` means the number of complete circles. `total % members` is the number of +units left after those circles. All theorem statements require `members > 0`; statements about +one recipient also state when its index must be below `members`. Zero recipients have no valid +index: that case is handled by the calling operation's empty-roster rules, not by dividing by +zero or claiming that a positive offer has been distributed. + +The Lean definitions live in `proofs/NetGraphCore/Apportionment/RoundRobin.lean`: + +- `sequential` counts how often one recipient is selected by the circle, one unit at a time. +- `roundRobin` uses division once: complete circles, plus one for each early leftover recipient. +- `increments` computes the extra share from the old remainder and the new offer, using a + signed subtraction. Its nonnegativity is proved, rather than assumed by using a natural type. +- `amountLimit` is `2^62`, the exclusive bound on one native traffic amount. + +Examples are checked by Lean in `Checks/Examples.lean` and compared with independently recorded +exact inputs and outputs in `proofs/cases.json`. The sequence example is also used by the native +bridge on both `ShortestPaths` and replay through `Pinned`. + + +## NGC-AP-001: the formula describes the actual circle + +Claim (`sequential_eq_roundRobin`): for any number of units and any valid recipient, distributing +units one at a time around the circle gives exactly the count from the division formula. + +For ten units and three recipients, units 1, 4, 7 and 10 go to source 0; units 2, 5 and 8 go to +source 1; units 3, 6 and 9 go to source 2. The counts are `[4, 3, 3]`. Division gives three complete +circles (three units each), followed by one unit for the first source. This is case `rr-ten`. + +Boundary cases: zero units give `[0, 0, 0]` (`rr-zero`); two units give `[1, 1, 0]` (`rr-short`); +exactly three units give `[1, 1, 1]` (`rr-circle`). One recipient gets every unit (`rr-one`). + +The valid-index restriction matters. With three recipients and three units, nonexistent +position 5 is never selected by the circle, so its count is zero. The division formula would +give it `3 / 3 = 1` unit. The restriction excludes such phantom recipients; this contrast is +also checked in `Checks/Examples.lean`. + + +Proof steps: + +1. With zero units, both methods give every recipient zero. +2. Assume both methods agree after some total. The next sequential recipient is the old remainder. +3. Helper `roundRobin_succ` shows that the division formula changes the same recipient only. + If the leftover count has not reached the end, the quotient stays fixed and just one more + recipient enters the leftover group. At the end, the quotient rises by one and the leftover + group becomes empty. Earlier recipients exchange their old leftover unit for a full-circle + unit; the last recipient gains one. Therefore both methods make the same next step. +4. Repeating that argument covers every nonnegative total. This reasoning technique is called + induction: prove the start and prove that every correct step gives a correct next step. + +Why order matters: `[3, 3, 4]` also sums to ten and is almost equal, but puts the leftover unit +on the last recipient. Conservation alone would accept it; the circle-equivalence claim rejects +that rule. Reordering recipients changes who owns each turn, so membership and order are fixed. + + +## NGC-AP-002: adding traffic cannot take a unit away + +Claim (`roundRobin_mono`): increasing the total by a nonnegative amount never decreases a valid +recipient's share, while the recipient set and order stay fixed. + +After five units, shares are `[2, 2, 1]`; after six they are `[2, 2, 2]`. Source 2 gains one and +the others keep their counts (`inc-continue`). Adding zero changes nothing (`inc-zero`). + +The proof starts with an addition of zero. Helper `roundRobin_succ` says each following unit +adds either zero or one to a recipient. Combining those steps proves the claim for any addition. +This is the arithmetic monotonicity needed for later no-drop load arguments. It says nothing +about a roster change: five units over two members give `[3, 2]`, while five over three give +`[2, 2, 1]`, reducing the first member's share. It also does not by itself prove admission search. + + +## NGC-AP-003: all input units are accounted for + +Claim (`roundRobin_conservation`): adding the shares of all valid recipients gives the original +total exactly. The `Finset.range members` in Lean is just the finite list of valid positions +`0` through `members - 1`; the sum does not include any other indices. + +For `rr-ten`, `4 + 3 + 3 = 10`; for `rr-short`, `1 + 1 + 0 = 2`; for `rr-zero`, all terms are zero. +The proof begins with the zero sum. At each new unit, `roundRobin_succ` describes every share's +change. Exactly one valid index equals the old remainder, so the sum rises by exactly one. + +The imported finite-sum facts distribute a sum over additions and count the one index selected +by an equality. They do not impose a traffic model. This result rules out dropped or duplicated +units in the model, but permits a wrong allocation such as `[10, 0, 0]` if used alone; use it with +NGC-AP-001. A positive offer with no recipients is outside the theorem's stated domain. + + +## NGC-AP-004: continue from the previous call using only its remainder + +Claim (`increments_eq_difference`): the signed increment formula equals the new cumulative share +minus the previous cumulative share. The previous total can be arbitrarily large in this model. + +With three sources, five units leave counts `[2, 2, 1]`. The previous remainder is two. Adding one +makes `2 + 1 = 3`: one complete circle and no leftovers. For each recipient the increment is +one full-circle unit, minus whether that recipient already had a leftover unit. That gives +`[1-1, 1-1, 1-0] = [0, 0, 1]`, so the final counts are `[2, 2, 2]` (`inc-continue`). + +If the addition is zero, the old leftover flags are subtracted from themselves and every change +is zero (`inc-zero`). Starting from two units and adding two crosses a circle boundary: counts +change from `[1, 1, 0]` to `[2, 1, 1]`, an increment of `[1, 0, 1]` (`inc-wrap`). + +The same argument works beyond 64 bits. `2^64 = 18446744073709551616` leaves remainder one when +divided by three. Adding two therefore assigns one to source 1 and one to source 2, yielding +`[0, 1, 1]` (`inc-wide`). Near the public cumulative limit, `2^127-1` leaves remainder one on +division by seven. Adding nine gives one new full circle and leftovers on the first three +positions; subtracting the old leftover on position 0 gives `[1, 2, 2, 1, 1, 1, 1]` (`inc-limit`). +That addition crosses the public cumulative-counter limit: it illustrates the unrestricted +mathematical identity, and is not an example of a public call the library must accept. + +Proof steps: + +1. Split the previous total into complete circles and a remainder. The imported division fact + `Nat.mod_add_div` is the exact identity "remainder + members * quotient = original total". +2. Helper `roundRobin_periodic` shows that adding complete circles increases every count equally. + Division changes the quotient; its remainder and therefore leftover positions stay the same. + For example, `16 = 10 + 3 * 2` units give `[6, 5, 5]`: the ten-unit shares `[4, 3, 3]` + plus two complete circles, adding two to each source. This is checked in `Checks/Examples.lean`. +3. The complete circles of the old total occur in both cumulative counts and cancel in their + difference. Only the old remainder, the extra offer and the two leftover flags remain. +4. That remaining expression is precisely `increments`, including its signed subtraction. + +A wrong rule that restarts each call assigns the sixth unit to source 0, producing `[3, 2, 1]`. +The total still adds up, so this example exposes a mistake that conservation cannot detect. +The identity applies to equal round robin. It does not justify replacing weighted allocation +with equal allocation or forgetting the high word when computing a large total's remainder. + + +## NGC-AP-005: an increment is a real part of the new offer + +Claim (`increments_bounds`): a valid recipient's increment is between zero and the extra offer, +inclusive. This gives meaning to converting the signed expression back into a traffic amount. + +Adding two units after total two gives `[1, 0, 1]` (`inc-wrap`): each entry is nonnegative and no +larger than two. Adding zero gives exactly zero (`inc-zero`). With one recipient an addition +belongs entirely to it, reaching the upper bound. + +NGC-AP-004 expresses the increment as a difference. NGC-AP-002 bounds that difference below by +zero. Helper `roundRobin_add_le` bounds it above: every sequential step can give this recipient +at most one, so an addition of `extra` cannot increase its share by more than `extra`. Combining +those facts yields both inequalities. This proves the output bound; it does not yet establish +the behaviour of a particular C++ subtraction instruction. + +For example, the `inc-wrap` addition raises source 0's count from one to two. Its gain is one, +which is no more than the two added units. Source 1 gains zero and source 2 gains one; neither +can gain more than the whole offer. With a single source, its gain equals the offer. + + +## NGC-AP-006: the remainder calculation has room in the native amount domain + +Claim (`native_increment_bounds`): if there are fewer than `2^31` recipients and an offer smaller +than `2^62`, then "old remainder + offer" is below `2^63`. The resulting signed increment is +nonnegative and below `2^62`. The recipient must be valid; the count must be positive. + +For a source split, the count bound follows from the graph's signed 32-bit node IDs: it has +fewer than `2^31` possible source members. Other uses of the arithmetic must establish their +own count bound; this theorem does not infer it from the word "recipient". + +For `inc-wrap`, the remainder is two, the offer is two and their sum is four. The increment +`[1, 0, 1]` fits the claimed bounds. For `inc-limit`, the previous total is huge but its remainder +is only one. Thus the intermediate for offer nine is ten: the size of the previous total does +not make this addition large. At the upper input boundary, offer `2^62-1` and remainder at most +`2^31-2` still sum to less than `2^63`. An offer equal to `2^62` is outside the native domain, +even when this particular arithmetic calculation would fit; that is a contract restriction. + +The proof uses the division rule that a remainder is smaller than its positive divisor. Add +the stated upper bounds on recipient count and offer to bound the intermediate. NGC-AP-005 +then bounds each final increment by the offer. Numeric normalization computes the fixed powers +of two inside a checked proof; it does not approximate them with floating point. + +The model does not prove the implementation of `mod_u128`, the representation of `Counter128`, +pointer accesses or exception safety. The native bridge exercises cumulative offers past `2^64` +through actual public calls, and records that finite coverage explicitly. Values near `2^127` +are model examples here, not a claim that the public bridge reaches that total in a few calls. + +## How these results help the next stages + +These proofs establish a precise arithmetic building block for source injection and ordered +equal splits. To prove a forwarding bound, we still need fixed-program load definitions and +their composition rules. To cover WCMP, we need separate highest-averages proofs. To certify +native behaviour for every input, we need a further refinement argument relating the model to +the actual program and its machine representation. diff --git a/proofs/Checks.lean b/proofs/Checks.lean new file mode 100644 index 0000000..01b835a --- /dev/null +++ b/proofs/Checks.lean @@ -0,0 +1,4 @@ +module + +public import Checks.Examples +public import Checks.Main diff --git a/proofs/Checks/Examples.lean b/proofs/Checks/Examples.lean new file mode 100644 index 0000000..f9bcbfe --- /dev/null +++ b/proofs/Checks/Examples.lean @@ -0,0 +1,73 @@ +module + +public import NetGraphCore + +/-! Executable examples of the formal model; these do not run the native implementation. -/ + +namespace NetGraphCore.Checks + +public section + +/-- Ten units give the first recipient the single leftover unit. -/ +example : (List.range 3).map (Apportionment.roundRobin 10 3) = [4, 3, 3] := by decide + +/-- Zero traffic, fewer units than recipients, and one complete circle are separate cases. -/ +example : (List.range 3).map (Apportionment.roundRobin 0 3) = [0, 0, 0] ∧ + (List.range 3).map (Apportionment.roundRobin 2 3) = [1, 1, 0] ∧ + (List.range 3).map (Apportionment.roundRobin 3 3) = [1, 1, 1] := by decide + +/-- The sixth unit continues the circle and goes to recipient 2, not recipient 0. -/ +example : (List.range 3).map (Apportionment.increments 5 1 3) = [0, 0, 1] := by decide + +/-- A nonexistent recipient is excluded: the direct formula would invent a full-circle share. -/ +example : Apportionment.sequential 3 3 5 = 0 ∧ + Apportionment.roundRobin 3 3 5 = 1 := by decide + +/-- Adding complete circles adds the same amount to each share. -/ +example : (List.range 3).map (Apportionment.roundRobin (10 + 3 * 2) 3) = + [6, 5, 5] := by decide + +/-- A high word changes the remainder: 2^64 leaves remainder 1 on division by 3. -/ +example : (List.range 3).map (Apportionment.increments (2^64) 2 3) = [0, 1, 1] := by decide + +/-- This model-only addition crosses the public counter limit; the identity still holds. -/ +example : (List.range 7).map (Apportionment.increments (2^127-1) 9 7) = + [1, 2, 2, 1, 1, 1, 1] := by decide + +/-- Inputs whose exact outputs are compared to independently recorded expected values. -/ +def roundRobinCases : List (String × Nat × Nat) := + [("rr-ten", 10, 3), ("rr-zero", 0, 3), ("rr-short", 2, 3), + ("rr-circle", 3, 3), ("rr-one", 7, 1)] + +/-- Increment cases exercise circle boundaries and totals that do not fit 64 bits. -/ +def incrementCases : List (String × Nat × Nat × Nat) := + [("inc-continue", 5, 1, 3), ("inc-zero", 5, 0, 3), + ("inc-wrap", 2, 2, 3), ("inc-wide", 2^64, 2, 3), + ("inc-limit", 2^127-1, 9, 7)] + +/-- These actual offers exercise public ShortestPaths and Pinned calls beyond 2^64 in the bridge. -/ +def publicOffers : List Nat := [5, 1, 2^62-1, 2^62-1, 2^62-1, 2^62-1, 2^62-1, 4, 1] + +/-- Export model computations so the native bridge can compare exact values and inputs. -/ +def caseJson : Lean.Json := + let rr := roundRobinCases.map fun (name, total, members) => Lean.Json.mkObj [ + ("id", Lean.toJson name), ("kind", Lean.toJson "rr"), + ("total", Lean.toJson total), ("members", Lean.toJson members), + ("expected", Lean.toJson ((List.range members).map + (Apportionment.roundRobin total members)))] + let inc := incrementCases.map fun (name, previous, extra, members) => Lean.Json.mkObj [ + ("id", Lean.toJson name), ("kind", Lean.toJson "increment"), + ("previous", Lean.toJson previous), ("extra", Lean.toJson extra), + ("members", Lean.toJson members), + ("expected", Lean.toJson ((List.range members).map + (Apportionment.increments previous extra members)))] + let seq := publicOffers.foldl (fun (state : Nat × List Lean.Json) offer => + let total := state.1 + offer + (total, state.2 ++ [Lean.Json.mkObj [ + ("offer", Lean.toJson offer), ("total", Lean.toJson total), + ("expected", Lean.toJson ((List.range 3).map (Apportionment.roundRobin total 3)))]])) + (0, []) + Lean.Json.mkObj [("cases", Lean.toJson (rr ++ inc)), ("public_sequence", Lean.toJson seq.2)] + +end +end NetGraphCore.Checks diff --git a/proofs/Checks/Main.lean b/proofs/Checks/Main.lean new file mode 100644 index 0000000..30b5e53 --- /dev/null +++ b/proofs/Checks/Main.lean @@ -0,0 +1,84 @@ +module + +import Lean +import Checks.Examples + +open Lean + +namespace ProofAudit + +/-- Export structural expressions, not human pretty-printing that could hide a changed type. -/ +def declarationJson (env : Environment) (sourceModule name : Name) + (info : ConstantInfo) : IO Json := do + let axioms ← (collectAxioms name : CoreM (Array Name)).toIO' + { fileName := "proof-audit", fileMap := default } { env := env } + let doc ← findDocString? env name + -- Direct ranges do not borrow a parent's location for generated recursors or + -- auxiliary proofs. Structure constructors still have direct ranges, so identify + -- their generated construction rule using Lean's structure metadata as well. + let ranges ← (findDeclarationRangesCore? name : CoreM _).toIO' + { fileName := "proof-audit", fileMap := default } { env := env } + let structureConstructor := match info with + | .ctorInfo ctor => isStructure env ctor.induct + | _ => false + let kind := match info with + | .thmInfo _ => "theorem" + | .defnInfo _ => "definition" + | .axiomInfo _ => "axiom" + | .opaqueInfo _ => "opaque" + | .inductInfo _ => "inductive" + | .ctorInfo _ => "constructor" + | .recInfo _ => "recursor" + | .quotInfo _ => "quotient" + return Json.mkObj [ + ("name", toJson name.toString), + ("user_name", toJson (privateToUserName name).toString), + ("source_module", toJson sourceModule.toString), + ("authored", toJson (ranges.isSome && !structureConstructor)), + ("kind", toJson kind), + ("type", toJson (reprStr info.type)), + ("value", toJson (info.value? (allowOpaque := true) |>.map reprStr)), + ("uses", toJson (info.getUsedConstantsAsSet.toArray.map Name.toString)), + ("axioms", toJson (axioms.map Name.toString)), + ("doc", toJson doc)] + +/-- Load the actual built mathematical modules and export their checked declarations. -/ +unsafe def metadata : IO Json := do + initSearchPath (← findSysroot) + enableInitializersExecution + let inventory ← IO.FS.readFile "theorems.json" + let json ← IO.ofExcept (Json.parse inventory) + let modules ← IO.ofExcept (json.getObjValAs? (Array String) "modules") + let imports : Array Import := modules.map fun source => + { module := (source.dropEnd 5 |>.toString.replace "/" ".").toName, importAll := true } + let env ← importModules imports {} (loadExts := true) + let mut declarations := #[] + for (name, info) in env.constants.toList do + if let some idx := env.getModuleIdxFor? name then + let sourceModule := env.header.moduleNames[idx]! + -- Ownership follows every maintained module, including checker modules that a + -- model might import. Keep generated constants for transitive fingerprints too. + if imports.any (·.module == sourceModule) then + declarations := declarations.push (← declarationJson env sourceModule name info) + return Json.mkObj [ + ("lean_version", toJson Lean.versionString), + ("examples", NetGraphCore.Checks.caseJson), + ("declarations", toJson declarations)] + +end ProofAudit + +/-- Run the packaged audit with metadata produced from Lean's real environment. +Python supplies SHA-256, filesystem and JSON checks; it does not prove theorems. -/ +public unsafe def main (args : List String) : IO UInt32 := do + let data ← ProofAudit.metadata + if args == ["--metadata"] then + (← IO.getStdout).putStrLn data.compress + return 0 + let python := (← IO.getEnv "PROOFS_PYTHON").getD "python3" + let out ← IO.Process.output { + cmd := python + args := #["-I", "-B", "Checks/audit.py"] ++ args.toArray + } (some data.compress) + (← IO.getStdout).putStr out.stdout + (← IO.getStderr).putStr out.stderr + return out.exitCode diff --git a/proofs/Checks/audit.py b/proofs/Checks/audit.py new file mode 100644 index 0000000..043faed --- /dev/null +++ b/proofs/Checks/audit.py @@ -0,0 +1,441 @@ +"""Packaged proof inventory and evidence checks. Python never proves a theorem. + +Lean supplies structural declarations and transitive axioms from its built environment. +This file binds them to reviewed inputs, explanations and independently recorded examples. +It uses only Python's standard library and works without Git or repository developer tools. +""" + +from __future__ import annotations + +import argparse +import hashlib +import json +import os +import re +import subprocess +import sys +from pathlib import Path + +PROOFS = Path(__file__).resolve().parents[1] +ROOT = PROOFS.parent +ALLOWED_AXIOMS = {"propext", "Classical.choice", "Quot.sound"} +AUDIT_INPUTS = ["Checks/Main.lean", "Checks/Examples.lean", "Checks/audit.py"] + + +def fail(message: str) -> None: + raise ValueError(message) + + +def digest(data: bytes | str) -> str: + return hashlib.sha256(data.encode() if isinstance(data, str) else data).hexdigest() + + +def canonical(value: object) -> str: + return json.dumps(value, sort_keys=True, separators=(",", ":"), ensure_ascii=True) + + +def unique_object(pairs: list[tuple[str, object]]) -> dict: + result = {} + for key, value in pairs: + if key in result: + fail(f"duplicate JSON key: {key}") + result[key] = value + return result + + +def read_json(path: Path) -> dict: + return json.loads(path.read_text(), object_pairs_hook=unique_object) + + +def source_file(name: str) -> Path: + path = ROOT / name + if ( + not path.is_file() + or path.is_symlink() + or not path.resolve().is_relative_to(ROOT.resolve()) + ): + fail(f"missing or external mapped input: {name}") + return path + + +def section_text(name: str, heading: str) -> str: + lines = source_file(name).read_text().splitlines(keepends=True) + starts = [i for i, line in enumerate(lines) if line.rstrip() == heading] + if len(starts) != 1: + fail(f"semantic heading missing or ambiguous: {name}: {heading}") + start = starts[0] + level = len(heading) - len(heading.lstrip("#")) + end = len(lines) + fence = None + for i in range(start + 1, len(lines)): + marker = re.match(r"^ {0,3}(`{3,}|~{3,})", lines[i]) + if fence: + if re.fullmatch( + r" {0,3}" + re.escape(fence[0]) + "{" + str(fence[1]) + r",}\s*", + lines[i], + ): + fence = None + continue + if marker: + fence = (marker[1][0], len(marker[1])) + continue + match = re.match(r"^ {0,3}(#+) ", lines[i]) + if match and len(match[1]) <= level: + end = i + break + return "".join(lines[start:end]) + + +def lean_sources() -> list[str]: + result = [] + for directory, children, files in os.walk(PROOFS): + children[:] = [name for name in children if name != ".lake"] + for name in files: + if name.endswith(".lean"): + result.append(str((Path(directory) / name).relative_to(PROOFS))) + return sorted(result) + + +def stripped_lean(text: str) -> str: + """Remove strings and nested comments before checking source commands.""" + result, i, depth = [], 0, 0 + while i < len(text): + if depth: + if text.startswith("/-", i): + depth += 1 + i += 2 + elif text.startswith("-/", i): + depth -= 1 + i += 2 + else: + result.append("\n" if text[i] == "\n" else " ") + i += 1 + elif text.startswith("/-", i): + depth, i = 1, i + 2 + elif text.startswith("--", i): + end = text.find("\n", i) + i = len(text) if end < 0 else end + elif text[i] == '"': + i += 1 + while i < len(text): + if text[i] == "\\": + i += 2 + elif text[i] == '"': + i += 1 + break + else: + i += 1 + result.append(" ") + else: + result.append(text[i]) + i += 1 + if depth: + fail("unclosed Lean comment") + return "".join(result) + + +def input_state(inventory: dict) -> dict: + if inventory.get("schema") != 1 or not inventory.get("theorems"): + fail("empty or unsupported theorem inventory") + if lean_sources() != sorted(inventory["modules"]): + fail("maintained Lean module inventory differs (including unimported sources)") + # Every maintained library module must be explicitly imported by its aggregation root. + for root, prefix in [ + ("NetGraphCore.lean", "NetGraphCore/"), + ("Checks.lean", "Checks/"), + ]: + expected = sorted( + name[:-5].replace("/", ".") + for name in inventory["modules"] + if name.startswith(prefix) + ) + imports = re.findall( + r"^(?:public )?import ([A-Za-z0-9_.]+)\s*$", + (PROOFS / root).read_text(), + re.M, + ) + if sorted(imports) != expected: + fail(f"aggregation root does not cover maintained modules: {root}") + inputs = {} + for name in [ + "lean-toolchain", + "lakefile.toml", + "lake-manifest.json", + *AUDIT_INPUTS, + ]: + inputs[f"proofs/{name}"] = digest((PROOFS / name).read_bytes()) + for name in inventory["modules"]: + path = PROOFS / name + inputs[f"proofs/{name}"] = digest(path.read_bytes()) + if name.startswith("NetGraphCore") or name == "Checks/Examples.lean": + code = stripped_lean(path.read_text()) + if re.search( + r"\b(sorry|admit|axiom|unsafe|native_decide)\b|\bdebug\.|#eval\b|^\s*(?:set_option|initialize|run_cmd|elab|macro|attribute)\b", + code, + re.M, + ): + fail(f"forbidden proof command or kernel bypass: {name}") + if any( + value.strip() != "expose" + for value in re.findall(r"@\[([^\]]*)\]", code) + ): + fail(f"unreviewed mathematical declaration attribute: {name}") + return inputs + + +def record_inputs(record: dict, inputs: dict) -> dict: + result = {"semantics": [], "implementation": [], "explanation": {}} + for ref in record["semantics"]: + value = digest(section_text(ref["file"], ref["heading"])) + result["semantics"].append({**ref, "sha256": value}) + inputs[ref["file"]] = digest(source_file(ref["file"]).read_bytes()) + for ref in record["implementation"]["sources"]: + value = digest(source_file(ref["file"]).read_bytes()) + result["implementation"].append({**ref, "sha256": value}) + inputs[ref["file"]] = value + ref = record["explanation"] + text = source_file(ref["file"]).read_text() + if f'' not in text: + fail(f"missing explanation anchor: {ref['anchor']}") + result["explanation"] = {**ref, "sha256": digest(text)} + inputs[ref["file"]] = digest(text) + return result + + +def preflight(inventory: dict, recording: bool = False) -> dict: + inputs = input_state(inventory) + pins = { + name: inputs[f"proofs/{name}"] + for name in ["lean-toolchain", "lakefile.toml", "lake-manifest.json"] + } + tools = {name: inputs[f"proofs/{name}"] for name in AUDIT_INPUTS} + if not recording and ( + inventory.get("pins") != pins or inventory.get("audit_sources") != tools + ): + fail("toolchain/dependency/audit-source digest drift") + ids, names = set(), set() + for record in inventory["theorems"]: + if not record["semantics"]: + fail(f"accepted theorem has no semantic contract reference: {record['id']}") + if record["id"] in ids or record["declaration"] in names: + fail("duplicate accepted ID or declaration") + ids.add(record["id"]) + names.add(record["declaration"]) + for field in ("module", "claim", "domain"): + if not isinstance(record.get(field), str) or not record[field].strip(): + fail(f"missing theorem {field}: {record['id']}") + mapping = record_inputs(record, inputs) + if not recording and mapping != record.get("mapped_inputs"): + fail(f"explanation or applicability digest drift: {record['id']}") + if recording: + record["mapped_inputs"] = mapping + if record["implementation"]["status"] not in {"unconnected", "tested"}: + fail("unsupported native connection claim; no refinement is supplied") + if ( + record["implementation"]["status"] == "tested" + and record["implementation"].get("bridge") != "round-robin" + ): + fail("connected declaration has no supported bridge") + if recording: + inventory["pins"], inventory["audit_sources"] = pins, tools + return inputs + + +def binding(declaration: str, metadata: dict) -> dict: + if declaration not in metadata: + fail(f"unresolved Lean declaration: {declaration}") + root = metadata[declaration] + if root["value"] is None: + fail(f"proof body unavailable to audit: {declaration}") + axioms = sorted(root["axioms"]) + if set(axioms) - ALLOWED_AXIOMS: + fail(f"unaccepted transitive axioms: {declaration}: {axioms}") + todo, seen, closure = [declaration], set(), {} + while todo: + name = todo.pop() + if name in seen or name not in metadata: + continue + seen.add(name) + item = metadata[name] + fields = {"kind": item["kind"], "type": item["type"]} + if item["kind"] != "theorem": + if item["value"] is None: + fail(f"definition body unavailable to audit: {name}") + fields["value"] = item["value"] + closure[name] = digest(canonical(fields)) + todo.extend(item["uses"]) + if root["kind"] != "theorem": + fail(f"accepted declaration is not a theorem: {declaration}") + return { + "type_sha256": digest(root["type"]), + "local_closure": closure, + "axioms": axioms, + } + + +def audit(data: dict, inventory: dict, recording: bool) -> dict: + inputs = preflight(inventory, recording) + toolchain = (PROOFS / "lean-toolchain").read_text().strip() + if not re.fullmatch(r"leanprover/lean4:v\d+\.\d+\.\d+", toolchain) or data[ + "lean_version" + ] != toolchain.removeprefix("leanprover/lean4:v"): + fail("unexpected Lean runtime or toolchain") + dependencies = read_json(PROOFS / "lake-manifest.json")["packages"] + for package in dependencies: + directory = PROOFS / ".lake/packages" / package["name"] + actual = subprocess.run( + ["git", "-C", str(directory), "rev-parse", "HEAD"], + capture_output=True, + text=True, + check=True, + ).stdout.strip() + dirty = subprocess.run( + [ + "git", + "-C", + str(directory), + "status", + "--porcelain", + "--untracked-files=normal", + ], + capture_output=True, + text=True, + check=True, + ).stdout + if actual != package["rev"] or dirty: + fail(f"dependency source drift: {package['name']}") + metadata = {item["name"]: item for item in data["declarations"]} + mathematical_modules = { + name[:-5].replace("/", ".") + for name in inventory["modules"] + if name == "NetGraphCore.lean" or name.startswith("NetGraphCore/") + } + tagged = [] + for item in data["declarations"]: + if not item["authored"]: + continue + name = item["user_name"] + if not item["doc"] or not item["doc"].strip(): + fail(f"missing declaration doc comment: {name}") + if item["source_module"] not in mathematical_modules: + continue + if not name.startswith("NetGraphCore."): + fail(f"mathematical declaration outside project namespace: {name}") + marker = re.match(r"^(NGC-[A-Z]+-\d{3}):", item["doc"].strip()) + if marker: + tagged.append((marker[1], item["name"])) + expected = [(r["id"], r["declaration"]) for r in inventory["theorems"]] + if sorted(tagged) != sorted(expected): + fail("accepted inventory differs from theorem ID markers in built declarations") + expected_examples = read_json(PROOFS / "cases.json") + if canonical(data["examples"]) != canonical(expected_examples): + fail("model example inputs or exact outputs differ from independent cases") + inputs["proofs/cases.json"] = digest((PROOFS / "cases.json").read_bytes()) + case_ids = {item["id"] for item in expected_examples["cases"]} + if len(case_ids) != len(expected_examples["cases"]): + fail("duplicate executable example ID") + for record in inventory["theorems"]: + if not record["examples"] or set(record["examples"]) - case_ids: + fail(f"missing executable explanation example: {record['id']}") + if record["module"] != metadata[record["declaration"]]["source_module"]: + fail(f"theorem module differs from built declaration: {record['id']}") + actual = binding(record["declaration"], metadata) + if recording: + record["binding"] = actual + elif actual != record.get("binding"): + fail(f"reviewed statement/definition digest drift: {record['id']}") + revision, dirty = None, None + if (ROOT / ".git").exists(): + revision = subprocess.run( + ["git", "-C", str(ROOT), "rev-parse", "HEAD"], + capture_output=True, + text=True, + check=True, + ).stdout.strip() + dirty = bool( + subprocess.run( + [ + "git", + "-C", + str(ROOT), + "status", + "--porcelain", + "--untracked-files=normal", + ], + capture_output=True, + text=True, + check=True, + ).stdout + ) + return { + "status": "PASS", + "scope": "model proofs; no native refinement", + "lean_version": data["lean_version"], + "inventory_sha256": digest(canonical(inventory)), + "source_revision": revision, + "worktree_dirty": dirty, + "source_inputs": dict(sorted(inputs.items())), + "modules": inventory["modules"], + "accepted": [record["id"] for record in inventory["theorems"]], + "bindings": { + record["id"]: record["binding"] for record in inventory["theorems"] + }, + "example_count": len(case_ids), + "public_sequence_steps": len(expected_examples["public_sequence"]), + "dependencies": {p["name"]: p["rev"] for p in dependencies}, + "dependency_origin": os.environ.get("PROOFS_DEPENDENCY_ORIGIN", "unrecorded"), + "native_bridge": "not run here", + "kernel_replay": "not run by this command", + } + + +def main() -> None: + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--preflight", action="store_true") + parser.add_argument("--record", action="store_true") + parser.add_argument("--verify-report", type=Path) + parser.add_argument("--output", type=Path) + args = parser.parse_args() + inventory_path = PROOFS / "theorems.json" + inventory = read_json(inventory_path) + if args.verify_report: + if not args.verify_report.is_file(): + fail("missing proof evidence file") + inputs = preflight(inventory) + inputs["proofs/cases.json"] = digest((PROOFS / "cases.json").read_bytes()) + report = read_json(args.verify_report) + if ( + report.get("status") != "PASS" + or report.get("accepted") != [r["id"] for r in inventory["theorems"]] + or report.get("inventory_sha256") != digest(canonical(inventory)) + or report.get("source_inputs") != dict(sorted(inputs.items())) + ): + fail("missing, incomplete or stale proof evidence") + print("Current proof evidence: PASS") + return + if args.preflight: + preflight(inventory) + print("Proof input preflight: PASS") + return + if args.record and (os.environ.get("CI") or os.environ.get("PROOFS_RECORD") != "1"): + fail("recording requires explicit PROOFS_RECORD=1 outside CI") + data = json.load(sys.stdin, object_pairs_hook=unique_object) + report = audit(data, inventory, args.record) + if args.record: + inventory_path.write_text( + json.dumps(inventory, indent=2, sort_keys=True) + "\n" + ) + print("Recorded candidate bindings; independent review is still required.") + return + if args.output: + args.output.parent.mkdir(parents=True, exist_ok=True) + args.output.write_text(json.dumps(report, indent=2, sort_keys=True) + "\n") + print(json.dumps(report, sort_keys=True)) + + +if __name__ == "__main__": + try: + main() + except (ValueError, KeyError, TypeError, OSError) as error: + print(f"proof-audit: {error}", file=sys.stderr) + sys.exit(1) diff --git a/proofs/NetGraphCore.lean b/proofs/NetGraphCore.lean new file mode 100644 index 0000000..7a70cd8 --- /dev/null +++ b/proofs/NetGraphCore.lean @@ -0,0 +1,3 @@ +module + +public import NetGraphCore.Apportionment.RoundRobin diff --git a/proofs/NetGraphCore/Apportionment/RoundRobin.lean b/proofs/NetGraphCore/Apportionment/RoundRobin.lean new file mode 100644 index 0000000..239f510 --- /dev/null +++ b/proofs/NetGraphCore/Apportionment/RoundRobin.lean @@ -0,0 +1,170 @@ +module + +public import Mathlib.Data.Nat.ModEq +public import Mathlib.Algebra.BigOperators.Group.Finset.Basic +public import Mathlib.Algebra.BigOperators.Group.Finset.Piecewise +public import Mathlib.Tactic.NormNum +import Lean.Elab.Tactic.Omega + +/-!+# Whole-unit round robin + +This model has ordered recipients numbered from zero. Giving the next unit to +`total % members` means continuing the same circle, rather than restarting it. +The closed formula is introduced independently and then proved to agree with +that sequence. See `docs/formal/theorems/round-robin.md` for the worked argument. +All arithmetic here is unbounded natural arithmetic; native bounds are separate. +-/ + +namespace NetGraphCore.Apportionment + +public section + +/-- The share computed in one division: a full-round share and a possible leftover unit. +Only indices below a positive `members` count describe a recipient. -/ +@[expose] def roundRobin (total members recipient : Nat) : Nat := + total / members + if recipient < total % members then 1 else 0 + +/-- Count units given to one recipient by handing them out in a circle, one at a time. -/ +@[expose] def sequential (total members recipient : Nat) : Nat := + match total with + | 0 => 0 + | n + 1 => sequential n members recipient + if n % members = recipient then 1 else 0 + +/-- Increasing the total by one changes precisely the share of the next recipient. +When the remainder wraps, a complete round replaces every previous leftover unit. -/ +theorem roundRobin_succ (total members recipient : Nat) + (hm : 0 < members) (hi : recipient < members) : + roundRobin (total + 1) members recipient = roundRobin total members recipient + + if total % members = recipient then 1 else 0 := by + have hr := Nat.mod_lt total hm + -- A remainder advances by one, or returns to zero after the final recipient. + have hs : (total + 1) % members = + if total % members + 1 = members then 0 else total % members + 1 := by + rw [← Nat.add_mod_eq_add_mod_right 1 (Nat.mod_mod total members)] + by_cases h : total % members + 1 = members + · simp [h] + · rw [Nat.mod_eq_of_lt (by omega)] + simp [h] + -- The full-round count changes only on that wrap. The remaining comparisons + -- distinguish the chosen recipient, earlier recipients and later recipients. + by_cases hw : total % members + 1 = members + · simp [roundRobin, Nat.succ_div, Nat.dvd_iff_mod_eq_zero, hs, hw] + split_ifs <;> omega + · simp [roundRobin, Nat.succ_div, Nat.dvd_iff_mod_eq_zero, hs, hw] + split_ifs <;> omega + +/-- NGC-AP-001: the direct formula gives exactly the counts of the unit-by-unit circle. +The induction follows one real assignment, not an assumed conservation equation. -/ +theorem sequential_eq_roundRobin (total members recipient : Nat) + (hm : 0 < members) (hi : recipient < members) : + sequential total members recipient = roundRobin total members recipient := by + induction total with + | zero => simp [sequential, roundRobin] + | succ n ih => + -- The sequential process and formula add one to the same recipient. + simpa [sequential, ih] using (roundRobin_succ n members recipient hm hi).symm + +/-- NGC-AP-002: adding traffic never takes a previously assigned unit from a recipient. -/ +theorem roundRobin_mono (total extra members recipient : Nat) + (hm : 0 < members) (hi : recipient < members) : + roundRobin total members recipient ≤ roundRobin (total + extra) members recipient := by + induction extra with + | zero => simp + | succ v ih => + -- Each next step adds either zero or one to this recipient's count. + have h := roundRobin_succ (total + v) members recipient hm hi + rw [show total + (v + 1) = total + v + 1 by omega, h] + omega + +/-- NGC-AP-003: the ordered shares account for every input unit exactly once. -/ +theorem roundRobin_conservation (total members : Nat) (hm : 0 < members) : + ∑ i ∈ Finset.range members, roundRobin total members i = total := by + induction total with + | zero => simp [roundRobin] + | succ n ih => + -- Sum the one-step equation over every valid recipient. + have h : (∑ i ∈ Finset.range members, roundRobin (n + 1) members i) = + ∑ i ∈ Finset.range members, + (roundRobin n members i + if n % members = i then 1 else 0) := by + apply Finset.sum_congr rfl + intro i hi + exact roundRobin_succ n members i hm (Finset.mem_range.mp hi) + rw [h, Finset.sum_add_distrib, ih] + -- The remainder names exactly one member of this finite set. + simp [Finset.mem_range, Nat.mod_lt n hm] + +/-- Adding complete circles increases every share by the number of circles. -/ +theorem roundRobin_periodic (total circles members recipient : Nat) (hm : 0 < members) : + roundRobin (total + members * circles) members recipient = + roundRobin total members recipient + circles := by + -- Complete circles change the quotient, leaving the leftover recipients unchanged. + simp only [roundRobin, Nat.add_mul_div_left _ _ hm, Nat.add_mul_mod_self_left] + omega + +/-- The signed arithmetic used for an increment, using only the previous remainder. +Using integers keeps the subtraction honest; nonnegativity is proved below. -/ +@[expose] def increments (previous extra members recipient : Nat) : Int := + ((previous % members + extra) / members : Nat) + + (if recipient < (previous % members + extra) % members then 1 else 0) - + (if recipient < previous % members then 1 else 0) + +/-- NGC-AP-004: continuing a circle is computed from the old remainder alone. +This is the mathematical identity used by Core's round_robin_increments. -/ +theorem increments_eq_difference (previous extra members recipient : Nat) (hm : 0 < members) : + increments previous extra members recipient = + (roundRobin (previous + extra) members recipient : Int) - + (roundRobin previous members recipient : Int) := by + -- Write the old total as complete circles plus a remainder; the circles cancel. + have hx := Nat.mod_add_div previous members + have h : previous + extra = previous % members + extra + members * (previous / members) := by + omega + conv_rhs => lhs; rw [h, roundRobin_periodic _ _ _ _ hm] + unfold increments roundRobin + simp only [Nat.cast_add] + split_ifs <;> omega + +/-- A recipient cannot receive more than the number of units added in this call. -/ +theorem roundRobin_add_le (total extra members recipient : Nat) + (hm : 0 < members) (hi : recipient < members) : + roundRobin (total + extra) members recipient ≤ roundRobin total members recipient + extra := by + induction extra with + | zero => simp + | succ v ih => + -- Each new unit raises this recipient's count by at most one. + have h := roundRobin_succ (total + v) members recipient hm hi + rw [show total + (v + 1) = total + v + 1 by omega, h] + split_ifs <;> omega + +/-- NGC-AP-005: the signed increment is nonnegative and no larger than the added traffic. -/ +theorem increments_bounds (previous extra members recipient : Nat) + (hm : 0 < members) (hi : recipient < members) : + 0 ≤ increments previous extra members recipient ∧ + increments previous extra members recipient ≤ (extra : Int) := by + -- Translate the difference identity using the lower and upper bounds on a share's growth. + rw [increments_eq_difference _ _ _ _ hm] + have lower := roundRobin_mono previous extra members recipient hm hi + have upper := roundRobin_add_le previous extra members recipient hm hi + omega + +/-- The exclusive bound on one native traffic amount, in integer units. -/ +@[expose] def amountLimit : Nat := 2 ^ 62 + +/-- NGC-AP-006: the remainder-plus-offer intermediate fits unsigned 64-bit arithmetic, +and the final signed increment fits Amount. This does not verify the C++ implementation +of 128-bit remainder; that connection is explicitly tested, not formally refined. -/ +theorem native_increment_bounds (previous extra members recipient : Nat) + (hm : 0 < members) (hi : recipient < members) + (hk : members < 2 ^ 31) (hv : extra < amountLimit) : + previous % members + extra < 2 ^ 63 ∧ + 0 ≤ increments previous extra members recipient ∧ + increments previous extra members recipient < (amountLimit : Int) := by + -- The remainder is smaller than the recipient count. Combining the two stated + -- input bounds leaves room for their sum, independently of the old total's size. + have hr := Nat.mod_lt previous hm + have hb := increments_bounds previous extra members recipient hm hi + norm_num [amountLimit] at hv ⊢ + norm_num at hk + omega + +end +end NetGraphCore.Apportionment diff --git a/proofs/README.md b/proofs/README.md new file mode 100644 index 0000000..71550e4 --- /dev/null +++ b/proofs/README.md @@ -0,0 +1,89 @@ +# NetGraph-Core proofs + +This is a Lean 4 project. Lean is a proof assistant: a program that checks a mathematical proof +step by step. The project proves properties of the library's round-robin rule, which splits a +number of whole units among members in order (10 units over 3 members give 4, 3 and 3), and of +the increments it gives when an offer grows over several calls. Each theorem and its proof are +explained in plain words, with worked examples, in +[docs/formal/theorems/round-robin.md](../docs/formal/theorems/round-robin.md). + +The proofs are about the mathematical rule. Separate tests compare it exactly with the native +package on chosen inputs; nothing here proves that the C++ code implements the rule on every +input. Installing, building or running the package never needs Lean, and the wheel contains +none of this directory. + +## What you need + +- Lean's toolchain manager, [Elan](https://lean-lang.org/install/). It installs the Lean version + named in `lean-toolchain`; keep that file as it is. +- Git, which Lake (Lean's build tool) uses to fetch mathlib, the mathematics library the proofs + use. `lakefile.toml` pins mathlib to one Git revision and `lake-manifest.json` pins every + dependency of it, so every check uses the same sources. +- Python 3.11 or newer, for the inventory checker `Checks/audit.py` (standard library only). + +No native build and no Git history of this repository are needed. + +## Checking the proofs from the source archive + +From the root of the extracted source archive (sdist), with an absolute output directory of +your choice: + +```bash +cd proofs +lake exe cache get +lake --wfail build +lake exe proof-audit --output /absolute/output/check.json +python3 -I -B Checks/audit.py --verify-report /absolute/output/check.json +lake env leanchecker --fresh Checks +``` + +- `lake exe cache get` downloads mathlib's prebuilt files for the pinned revision, so the build + does not recompile mathlib; it only saves time. +- `lake --wfail build` checks every proof, treating warnings as errors. +- `lake exe proof-audit` compares each theorem in the built project with its record in + `theorems.json`: the exact statement, the definitions it depends on, the axioms it rests on + (only `propext`, `Classical.choice` and `Quot.sound` are accepted), its explanation, the + sections of `docs/semantics.md` and the native source files it describes, and the pinned + toolchain and dependencies. It also runs the examples against the expected results in + `cases.json`. Any difference fails the check. `Checks/audit.py --verify-report` checks that the + report is complete and matches these inputs. +- `lake env leanchecker --fresh Checks` checks every declaration again in a fresh environment + with Lean's kernel, the small core that accepts proofs. + +The archive holds every local file these commands read; Lean and mathlib are downloaded. + +## Checking in a Git checkout + +The repository wraps the same commands in `dev/proofs/run.sh` (the `dev/` directory is not in the +source archive). From the repository root, after `cd proofs && lake exe cache get`: + +```bash +bash dev/proofs/run.sh check # build, audit and examples; writes build/proofs/check.json +PROOFS_DEPENDENCY_ORIGIN=cache+local bash dev/proofs/run.sh replay # check, then the fresh replay +bash dev/proofs/run.sh test # the gate refuses planted errors, in a disposable copy +``` + +`PROOFS_DEPENDENCY_ORIGIN` records where mathlib's built files came from: `cache+local` for the +downloaded cache plus local builds, `source` for a build from source, `mixed` for both. Set +`PROOFS_PYTHON` to an absolute interpreter path if `python3` is not the one to use. + +To compare the rule with a native wheel, install that wheel in a clean environment first: + +```bash +PROOFS_NATIVE_PYTHON=/absolute/path/to/venv/bin/python \ +PROOFS_WHEEL=/absolute/path/to/netgraph_core.whl \ +bash dev/proofs/run.sh bridge +``` + +The bridge checks that the installed package is that wheel, then compares results exactly with +`cases.json`: sources passed out of node order come back in canonical order, and repeated calls +through `ShortestPaths` and `Pinned` add the right increments, including after the total offer +passes 2^64. Cases near 2^127 are checked on the model only; the public calls cannot reach that +total. The report is `build/proofs/bridge.json`. + +## Changing a theorem + +`theorems.json` is a reviewed record, not a list of whatever compiles: a changed statement, +definition, explanation or mapped input fails the audit until the change is reviewed and its +digests are recorded again. The rules for adding or changing a theorem are in the Git +repository's `dev/proofs/README.md`. diff --git a/proofs/cases.json b/proofs/cases.json new file mode 100644 index 0000000..03dae3b --- /dev/null +++ b/proofs/cases.json @@ -0,0 +1,204 @@ +{ + "cases": [ + { + "id": "rr-ten", + "kind": "rr", + "total": 10, + "members": 3, + "expected": [ + 4, + 3, + 3 + ] + }, + { + "id": "rr-zero", + "kind": "rr", + "total": 0, + "members": 3, + "expected": [ + 0, + 0, + 0 + ] + }, + { + "id": "rr-short", + "kind": "rr", + "total": 2, + "members": 3, + "expected": [ + 1, + 1, + 0 + ] + }, + { + "id": "rr-circle", + "kind": "rr", + "total": 3, + "members": 3, + "expected": [ + 1, + 1, + 1 + ] + }, + { + "id": "rr-one", + "kind": "rr", + "total": 7, + "members": 1, + "expected": [ + 7 + ] + }, + { + "id": "inc-continue", + "kind": "increment", + "previous": 5, + "extra": 1, + "members": 3, + "expected": [ + 0, + 0, + 1 + ] + }, + { + "id": "inc-zero", + "kind": "increment", + "previous": 5, + "extra": 0, + "members": 3, + "expected": [ + 0, + 0, + 0 + ] + }, + { + "id": "inc-wrap", + "kind": "increment", + "previous": 2, + "extra": 2, + "members": 3, + "expected": [ + 1, + 0, + 1 + ] + }, + { + "id": "inc-wide", + "kind": "increment", + "previous": 18446744073709551616, + "extra": 2, + "members": 3, + "expected": [ + 0, + 1, + 1 + ] + }, + { + "id": "inc-limit", + "kind": "increment", + "previous": 170141183460469231731687303715884105727, + "extra": 9, + "members": 7, + "expected": [ + 1, + 2, + 2, + 1, + 1, + 1, + 1 + ] + } + ], + "public_sequence": [ + { + "offer": 5, + "total": 5, + "expected": [ + 2, + 2, + 1 + ] + }, + { + "offer": 1, + "total": 6, + "expected": [ + 2, + 2, + 2 + ] + }, + { + "offer": 4611686018427387903, + "total": 4611686018427387909, + "expected": [ + 1537228672809129303, + 1537228672809129303, + 1537228672809129303 + ] + }, + { + "offer": 4611686018427387903, + "total": 9223372036854775812, + "expected": [ + 3074457345618258604, + 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count below 2^31; valid recipient index; nonnegative offer below 2^62; unrestricted nonnegative previous total. No mod_u128 refinement is asserted.", + "examples": [ + "inc-wrap", + "inc-limit" + ], + "explanation": { + "anchor": "NGC-AP-006", + "file": "docs/formal/theorems/round-robin.md" + }, + "id": "NGC-AP-006", + "implementation": { + "bridge": "round-robin", + "sources": [ + { + "file": "include/netgraph/core/detail/route_kernels.hpp", + "symbols": [ + "round_robin_share", + "round_robin_increments" + ] + }, + { + "file": "src/route_kernels.cpp", + "symbols": [ + "round_robin_increments" + ] + }, + { + "file": "src/forwarding.cpp", + "symbols": [ + "source_offer_increments" + ] + }, + { + "file": "include/netgraph/core/types.hpp", + "symbols": [ + "kDomainLimit" + ] + } + ], + "status": "tested" + }, + "mapped_inputs": { + "explanation": { + "anchor": "NGC-AP-006", + "file": "docs/formal/theorems/round-robin.md", + "sha256": "130ee173864d1101076a3f3fcf6637b4886ced0e91c81f8b7ef38cac74b494da" + }, + "implementation": [ + { + "file": "include/netgraph/core/detail/route_kernels.hpp", + "sha256": "c44e37d755d80182b074e6a34179e8aa5b172a9c94b4931ce4f69a67be636224", + "symbols": [ + "round_robin_share", + "round_robin_increments" + ] + }, + { + "file": "src/route_kernels.cpp", + "sha256": "00d5cc2df8dbe2f831dc9b7a01c0bf900ca65f2f08617447d8af8b242ade46db", + "symbols": [ + "round_robin_increments" + ] + }, + { + "file": "src/forwarding.cpp", + "sha256": "2428b4dadaec9c3acd0fe3f9b87520ec1a0e46751e5271f999d211a4e514f592", + "symbols": [ + "source_offer_increments" + ] + }, + { + "file": "include/netgraph/core/types.hpp", + "sha256": "9d4cc4c6055dea36e3cb28cd8167ed996c0ae3c081746d4d77c5309de11f7823", + "symbols": [ + "kDomainLimit" + ] + } + ], + "semantics": [ + { + "file": "docs/semantics.md", + "heading": "### Splitting whole units", + "sha256": "c78d73f278b5e3497314d983bb48f057084bc397eed7957d89ce0cdb1ab0f220" + }, + { + "file": "docs/semantics.md", + "heading": "### Epochs", + "sha256": "5fe3f528a9f6150adcefff2a190a3e3ae7523bd622a730791d4079fc2fb0dfd2" + } + ] + }, + "module": "NetGraphCore.Apportionment.RoundRobin", + "semantics": [ + { + "file": "docs/semantics.md", + "heading": "### Splitting whole units" + }, + { + "file": "docs/semantics.md", + "heading": "### Epochs" + } + ] + } + ] +} diff --git a/pyproject.toml b/pyproject.toml index a746336..f1f6416 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -57,9 +57,10 @@ build-dir = "build/{wheel_tag}" cmake.version = ">=3.23" # The sdist holds exactly the files listed here ("explicit": nothing outside them is taken, so a # local file elsewhere in the checkout never ships): the build's sources, the package, the tests -# with their data, the documents and the licence notices. Left out: the developer tooling (dev/), -# the entrypoints that only run it (the Makefile, the CI workflows, the pre-commit -# configuration), the agent/workspace configuration, and the frozen reference that regenerates +# with their data, the documents, the Lean proofs and the licence notices. Left out: the +# developer tooling (dev/), the entrypoints that only run it (the Makefile, the CI workflows, the +# pre-commit configuration), the agent/workspace configuration, Lake's downloaded dependencies and +# build products (proofs/.lake/), and the frozen reference that regenerates # tests/data/policy_fixtures.json (tests/reference/, see its README; no test reads it). Release # CI runs the same commit's tests from its checkout against an installation built from the # sdist. This mode does not read .gitignore, so the local by-products it names that appear @@ -81,6 +82,7 @@ sdist.include = [ "/bindings/", "/docs/", "/include/", + "/proofs/", "/python/", "/src/", "/tests/", @@ -88,6 +90,7 @@ sdist.include = [ ] sdist.exclude = [ "/tests/reference/", + "/proofs/.lake/", "__pycache__/", "*.py[codz]", "*.so", @@ -150,6 +153,7 @@ exclude = [ "build/**", "dist/**", "dev/**", + "proofs/.lake/**", "**/__pycache__/**", "**/*.egg-info/**", ] diff --git a/tests/py/test_removed_names.py b/tests/py/test_removed_names.py index 72a7cbd..e703e00 100644 --- a/tests/py/test_removed_names.py +++ b/tests/py/test_removed_names.py @@ -72,11 +72,13 @@ def read(path): "_deps", "__pycache__", ".ruff_cache", + ".lake", } def tree_files(): - """Every file of the checkout outside build output, environments and the design tree.""" + """Every file of the checkout outside build output, environments, Lake's dependencies and + builds (proofs/.lake), and the design tree.""" for top, dirs, files in os.walk(ROOT): dirs[:] = sorted( d for d in dirs if d not in SKIPPED_DIRS and not d.endswith(".noindex") From 6f8b6bf336d87e65e9dfd0dcfff0b55388c9041d Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Tue, 27 Oct 2026 01:35:04 +0000 Subject: [PATCH 32/39] README and changelog written for people The README says what the engine is for, its main ideas and a short Quick Start whose printed results the tests run; links are absolute so they work on PyPI. The 0.12.0 changelog splits long entries and says each change in plain words. Co-Authored-By: Claude Opus 5.5 --- CHANGELOG.md | 57 ++--- README.md | 345 +++++++--------------------- tests/py/removed_names_reviewed.txt | 16 +- 3 files changed, 126 insertions(+), 292 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 1d9deb1..da7359c 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -23,14 +23,15 @@ the new behaviour exactly. - **BREAKING: edge numbering.** EdgeIds sort the edges by source, cost and destination, ties kept in input order, and `input_positions()` maps an EdgeId to its input position. 0.11 sorted by cost, source and destination and carried caller-supplied external ids. -- **BREAKING: zero-capacity edges stay in routing.** Searches, routes, rosters and equal splits keep - an edge of capacity 0 (an equal split sends it its share, which is lost): zero capacity alone - never excludes an edge. 0.11's equal split left such edges out. +- **BREAKING: zero-capacity edges stay in routing.** Searches and routes use an edge of capacity 0, + a source that reaches a destination only over it still takes part, and an equal split sends it its + share, which is lost: zero capacity alone never excludes an edge. 0.11's equal split left such + edges out. - **BREAKING: distances** are `int64`, with `UNREACHABLE` for a node not reached; 0.11 returned `float64` distances with `inf` by default. -- **BREAKING: failure sensitivity** reports, with its baseline, a signed and exact - `delivery_reduction` for every candidate edge, zero and negative values included. 0.11 tested - only saturated edges and returned only the reductions above 1/4096. +- **BREAKING: failure sensitivity** (`evaluate_edge_failures`) reports, with its baseline, a signed + and exact `delivery_reduction` for every candidate edge, zero and negative values included. 0.11 + tested only saturated edges and returned only the reductions above 1/4096. - **Worker counts.** Without an explicit `workers`, `evaluate_pairs` and `evaluate_edge_failures` take their worker count from `NGRAPH_CORE_BATCH_THREADS` and `NGRAPH_CORE_SENSITIVITY_THREADS`, and use 1 when the variable is unset or invalid (0.11: the hardware concurrency); a supplied @@ -38,32 +39,36 @@ the new behaviour exactly. ### Added -- **Graph and units**: `Graph`, `Eligibility` (an immutable mask built from excluded node and edge - ids), `to_units`, `as_float`. +- **Graph and units**: `Graph`, `Eligibility` (the nodes and edges a call may use, built from + excluded node and edge ids; a failure is an exclusion), `to_units`, `as_float`. - **Routes and searches**: `PredecessorDAG` and `Path`; `spf` (forward or reverse, to every node or - to the nearest targets, a DAG or one canonical path), `ksp` with exact cost ceilings - (`AbsoluteCost`, `CostStretch`) and `resolve_to_paths`; one tie rule, `RouteTieBreak`. -- **Ledger**: `FlowLedger`, which keeps carried traffic and strict tunnel holds apart, and its - `FlowRecord` snapshots. -- **Policies**: `FlowPolicy`, one demand of several sources and destinations, configured by - `FlowPolicyConfig` with one routing model and one admission (`LOSSLESS`, `LOSSY`). The models: - `ShortestPaths` (ECMP, WCMP, or a controller restricted to the shortest routes), `DistributedTE` - (T1: tunnels set up by their heads), `CentralizedTE` (an ideal controller; with a tunnel count, - T2: the controller's equal tunnels) and `Pinned` (forwarding over a given program, repaired under - a mask or stale with black holes). Source allocations `EQUAL`, `OPTIMIZED` and `WEIGHTED`. The - calls `place`, `evaluate`, `replace` and `forward`, each returning a `PlacementResult`, and - `remove`. + to the nearest targets, the structure containing every shortest route or one canonical path), + `ksp` with exact cost ceilings (`AbsoluteCost`, `CostStretch`) and `resolve_to_paths`; + `RouteTieBreak`, the one rule that orders equal-cost choices. +- **Ledger**: `FlowLedger`, which keeps the traffic each edge carries apart from the bandwidth T1 + tunnels reserve on it, and its `FlowRecord` snapshots. +- **Policies**: `FlowPolicy` and `FlowPolicyConfig` route one demand from source nodes to + destination nodes with `LOSSLESS` or `LOSSY` admission. Choose `ShortestPaths` (ECMP, WCMP or a + controller on shortest routes), `DistributedTE` (T1 in the docs: RSVP-TE-style tunnels set up by + each source router), `CentralizedTE` (an ideal controller, optionally with equal-bandwidth + tunnels, T2 in the docs) or `Pinned` (replay of a saved program). +- **Source allocation**: `EQUAL` splits the demand equally between its sources, `OPTIMIZED` lets + the controller choose, and `WEIGHTED` follows declared weights. +- **Policy operations**: `place`, `evaluate`, `replace` and `forward` return a `PlacementResult`; + `remove` takes the policy's traffic out. - **Forwarding programs**: `ForwardingProgram`, produced by every computing model and built by `ForwardingProgram.from_routes` and `ForwardingProgram.from_dag`. -- **Several demands at once**: `apply_actions` with `Place`, `Replace` and `Forward` actions, - `ORDERED`, or `SIMULTANEOUS` with the losses on shared links divided between the demands. +- **Several demands at once**: `apply_actions` with `Place`, `Replace` and `Forward` actions, one + after another (`ORDERED`) or at the same time (`SIMULTANEOUS`) with the losses on shared links + divided between the demands. - **Shortest-path cache**: `ShortestPathCache`, building or frozen, shared by the evaluators' workers. - **Evaluators**: `evaluate_demand`, `evaluate_pairs` and `evaluate_edge_failures`, with one - `EvaluationOptions` and a finite offer for every model. -- **Guarantees**: every public call either completes or changes nothing, with two stated limits; - native work releases the GIL, placements included, and calls on one ledger take effect one at a - time. + `EvaluationOptions` and an optional finite offer, which every model accepts. +- **Guarantees**: every public call either completes or changes nothing, except that running out of + memory inside pybind11's own object construction may crash the process, and a supplied + shortest-path cache may keep completed entries and lookup statistics; native work releases the + GIL, placements included, and calls on one ledger take effect one at a time. - **Proofs**: the round-robin rule that splits whole units among members in order, and the increments it gives when an offer grows over several calls, have machine-checked Lean proofs of their stated properties, explained with worked examples in diff --git a/README.md b/README.md index 243e7ee..363d4ab 100644 --- a/README.md +++ b/README.md @@ -1,289 +1,122 @@ # NetGraph-Core -C++ graph engine for network flow analysis, traffic engineering simulation, and capacity planning. - -> **Unreleased, breaking.** This version replaces the 0.11 API (see the Unreleased section of -> [CHANGELOG.md](CHANGELOG.md)): the graph on integer units, the minimum-cost flow core, the route -> structures (`PredecessorDAG`, `Path`), the integer ledger `FlowLedger` with the route allocations, the -> policy engine `FlowPolicy` with its four routing models and its lists of several policies' actions -> (`apply_actions`), forwarding programs, the searches (`spf`, -> `ksp`, `resolve_to_paths`), the `ShortestPathCache` in building and frozen modes, and the evaluators -> `evaluate_demand`, `evaluate_pairs` and `evaluate_edge_failures`. -> The previous API (0.11 and earlier) is in git history and on PyPI. - -## How it fits together - -A demand (traffic from a set of sources to a set of destinations) goes through six things: a -`Graph` on integer units, a `FlowLedger` of what its edges carry and what tunnels hold, a -`FlowPolicy` that routes the demand with one routing model and one admission, the -`ForwardingProgram` the model computes, the forwarding of the offer over that program, and the -`PlacementResult` that reports what was delivered and lost. [docs/semantics.md](docs/semantics.md) -explains each with worked examples and gives the exact rules. - -## Overview - -- **Exact integer amounts**: a graph carries an explicit resolution `q` (a power of two in - `[2^-32, 2^32]`); capacities and flows are `int64` units of `q`. Physical values enter only - through `to_units` (the binary64 value rounded half up to whole units, exactly) and leave through - `as_float`. -- **Positive costs**: edge costs are integers `>= 1`, so the shortest-path DAG (every edge on - some shortest path) has no cycle; for a fixed set of usable edges it does not depend on search - order or tie rules. -- **Zero capacity is not absence**: an edge of capacity 0 stays in routing, as a configured but - empty link does: searches, routes and rosters use it, an equal split still sends it a share - (which is lost), a weighted split gives it weight 0. Zero capacity alone never excludes an edge: - an `Eligibility` excludes it, the route choice can keep another of its parallel members, and an - explicit residual adds a capacity threshold. -- **Edge ids by sort**: edges are numbered by sorting on `(source, cost, destination)`, ties kept - in input order; that number is the public `EdgeId`, and `input_positions()` maps it back to the - input position. -- **One flow core**: an exact integer minimum-cost flow solver (the most traffic, sent as cheaply - as possible). A solve of the ideal controller reports its marginal cost curve (the extra minimum - total cost per additional delivered unit, as `(cost, units)` segments) and, on request, a - minimum cut when it reaches the maximum ([the result](docs/semantics.md#the-result)). - -## Core Features - -The exact behaviour of every call (units and rounding, edge ids, which route a search returns, -how the route allocations split traffic, outcomes and flags, failures, the cache and the evaluators) is -specified in [docs/semantics.md](docs/semantics.md). - -### Graph - -- **`Graph(num_nodes, edge_sources, edge_destinations, edge_capacity_units, edge_costs, - resolution)`**: an immutable directed multigraph (parallel edges and self-loops allowed). - Validation reports the first defect in a fixed order. Accessors (`edge_capacity_units()`, - `edge_costs()`, `edge_sources()`, `edge_destinations()`, `input_positions()`, - `outgoing_offsets()`, `incoming_offsets()`, `incoming_edges()`) return read-only NumPy views - that keep the graph alive ([the graph](docs/semantics.md#2-the-graph)). -- **`Eligibility`**: which nodes and edges of one graph may be used (immutable), built by - `graph.eligibility(excluded_nodes, excluded_edges)`; `Eligibility.intersect(a, b)` combines two. - -### Route structures - -- **`PredecessorDAG`**: the route structure a search returns, a predecessor DAG (directed, no - cycle): for each node, the edges that reach it on the route and the node each comes from; - `PredecessorDAG.from_csr(graph, parent_offsets, parents, via_edges)` builds and validates one. -- **`Path(graph, hops)`**: a route given hop by hop, where a hop may hold several parallel edges - between the same two nodes; `cost()` is the sum over hops of the cheapest member's cost. -- **Route choice**: one tie rule, `RouteTieBreak` (`FEWER_HOPS`, the default, `HIGHER_CAPACITY`, - `HIGHER_AVAILABLE_CAPACITY`, `HIGHER_HEADROOM`), with `multipath` (every equal-cost route, or the - one canonical path) and `parallel_edges` (every parallel link, or one per node pair). Cost always - comes first; the tie rule only orders equal-cost choices - ([the route choice](docs/semantics.md#the-route-choice)). - -### Ledger and route allocations - -- **`FlowLedger(graph, service_baseline=None, *, reservation_baseline=None)`**: the integer ledger - of one graph, in two projections that are never added: the carried traffic (`carried()`, - `residual()`) and the strict holds of T1 tunnels (`reserved()`, `unreserved()`). Holds never - police traffic. Its `FlowRecord`s are the routed amounts of its policies - ([the ledger](docs/semantics.md#6-the-ledger)). -- **Route allocations** (`RouteAllocation`) say how a demand's traffic is split at every router of - its routes: `EQUAL` (ECMP, round robin), `WEIGHTED` (WCMP, highest averages over integer weights - from a `WeightBasis`) or `OPTIMIZED` (a controller restricted to those routes). **Admission** - (`Admission`) says what happens to traffic that does not fit: `LOSSLESS` admits only what the - split carries without loss, `LOSSY` sends everything and records where it is lost - ([route allocations and admission](docs/semantics.md#5-route-allocations-and-admission)). - -### Policies - -- **`FlowPolicy(ledger, sources, destinations, config, eligibility=None, cache=None)`**: one - demand, bound to its ledger. `FlowPolicyConfig(*, routing, admission=LOSSLESS)` holds the routing - model, which holds every option it reads. The models: - - `ShortestPaths(...)`: static shortest paths, as routers forward with an IGP such as OSPF. - `ShortestPaths()` is ECMP and `allocation=WEIGHTED` is WCMP; with either, the sources of one - demand are pooled: where their routes meet, a router splits their traffic once. - `allocation=OPTIMIZED` is a controller restricted to those paths, solving the sources jointly. - - `DistributedTE(TunnelCount(N), ...)` (T1): every head sets up its own N strict-bandwidth - tunnels by CSPF, as RSVP-TE head ends do, with no controller - ([T1](docs/semantics.md#t1-tunnels-set-up-by-their-heads)). - - `CentralizedTE(*, source_allocation, ...)`: an ideal controller, the minimum-cost flow of the - demand over every eligible edge or a support DAG. With `tunnel_count=TunnelCount(N)` (T2) it - lays out N single-path tunnels per head with one common whole-unit planned bandwidth - ([T2](docs/semantics.md#t2-the-controllers-equal-tunnels)). - - `Pinned(program, *, black_holes=None)`: forwarding over a given `ForwardingProgram`, computing - nothing: repaired under the policy's Eligibility, or stale with black holes - ([forwarding programs](docs/semantics.md#forwarding-programs)). -- **Source allocation** (`SourceAllocation`): `EQUAL` (every source sends the same round-robin - share), `OPTIMIZED` (a controller chooses how much enters where) or `WEIGHTED` (`CentralizedTE` - without tunnels: highest-averages shares of declared source weights). -- **`ForwardingProgram`**: the routes and integer weights of one demand. Every computing model - produces one (`policy.program`, `result.program`); `ForwardingProgram.from_routes` builds one - from given routes, and `ForwardingProgram.from_dag` one shared hop-by-hop program on a DAG. -- **Calls**: `place(offer)` adds to the demand (T1 and T2 have none); `evaluate(offer)` computes a - whole new offer without publishing it, `replace(offer)` publishes it, `forward(offer)` sends it - over the installed program, and `remove()` takes the demand's traffic out. The first four return - a `PlacementResult` (`remove()` returns `None`): this call's delivery and losses, the demand's - totals, per-source and per-tunnel rows, the program and, for T1 and T2, their `TunnelPlan` - ([policies](docs/semantics.md#7-policies)). -- **`apply_actions(ledger, actions, *, mode=BatchMode.ORDERED, outputs=None)`**: the `Place`, - `Replace` and `Forward` actions of several policies of one ledger as one transaction, one after - another (`ORDERED`) or at the same time with the losses on shared links divided between the - demands (`SIMULTANEOUS`) ([several demands at once](docs/semantics.md#several-demands-at-once)). -- **Failure guarantee**: every public call either completes or raises one exception and leaves - every ledger, policy and cache as it was, with two stated limits (running out of memory inside - pybind11's own object construction, and a `ShortestPathCache` passed to the call) - ([failures, threads and lifetimes](docs/semantics.md#8-failures-threads-and-lifetimes)). - -Native computation releases the GIL. Calls on one ledger take effect one at a time; different -ledgers run in parallel. The free-threaded Python build follows the same rules. - -### Search - -- `spf(graph, roots, SpfOptions(direction, *, targets=None, tie_break=FEWER_HOPS, multipath=True, - parallel_edges=True, residual=None, min_residual=1, eligibility=None))` searches from a root - set, forward or reverse, and returns the shortest-path DAG (to every node, or to the nearest - targets) or, with `multipath=False`, the canonical single path - ([the canonical single path](docs/semantics.md#the-canonical-single-path)). Edges of capacity 0 - are searched like any other; only a supplied residual adds a capacity threshold. -- `ksp(graph, source, destination, KspOptions(k, *, tie_break=FEWER_HOPS, parallel_edges=True, - cost_ceiling=None, residual=None, eligibility=None))` returns the K shortest simple paths as - `(cost, Path)` pairs, in the order of [docs/semantics.md](docs/semantics.md#k-shortest-paths), - up to an inclusive cost ceiling (`AbsoluteCost(c)`, or `CostStretch(f)` with `f` an exact - fraction: a float means the decimal it prints, so `CostStretch(1.2)` is exactly 6/5). -- `resolve_to_paths(graph, dag, source, destination, split_parallel_edges=False, max_paths=None)` - lists a DAG's walks as `Path` values. - -### ShortestPathCache - -`ShortestPathCache(graph)` keeps the static shortest-path DAGs (from costs and the Eligibility, -not traffic) that policies use, keyed by the root set, the direction and the Eligibility. In -building mode a miss searches and inserts; `freeze()` makes it read-only and shareable by every -worker of an evaluator, and a miss then raises `ShortestPathCacheMiss` -([the shortest-path cache](docs/semantics.md#9-the-shortest-path-cache)). - -### Evaluators - -All three take one options type, `EvaluationOptions(config, *, eligibility=None, cache=None, -outputs=None, design_demand=None, offer=None)`, and evaluate on a fresh ledger at full capacity: -`evaluate_demand(graph, sources, destinations, options)` one demand, `evaluate_pairs(graph, pairs, -options, per_pair_eligibility=None, workers=None)` many independent pairs, and -`evaluate_edge_failures(graph, sources, destinations, options, workers=None)` the signed -`delivery_reduction` when each edge is removed, at the same offer and design. -Without an offer, `CentralizedTE(source_allocation=OPTIMIZED)` gives the exact maximum flow with -its marginal cost curve, and its minimum cut with `outputs=OutputOptions(min_cut=True)`; a finite -offer below the maximum reports no cut ([evaluators](docs/semantics.md#10-evaluators)). - -### Flow core - -One native integer minimum-cost flow core serves `CentralizedTE` routing, the `OPTIMIZED` -allocation, the evaluators and T2's sizing (there with every cost taken as 0: a maximum flow): the -largest flow up to a cap from a source set to a destination set over the eligible edges, sent at -the lowest total cost. +NetGraph-Core is a C++ engine with Python bindings that computes how traffic crosses a network: +the maximum flow between two sets of nodes, how ECMP or WCMP shortest-path routing, RSVP-TE +tunnels or an ideal controller would carry a demand, and how much a link failure costs. All +amounts are exact integers, so a result never depends on floating-point tolerance. It is a +library for developers who build network analysis tools. For a ready tool, with networks and +failure scenarios in YAML and reports, use [NetGraph](https://github.com/networmix/NetGraph), +which is built on this engine. + +## The main ideas + +- **Units.** Capacities and traffic are whole numbers of units. Each graph carries its + resolution `q`, the size of one unit (a power of two, for example `2**-12` Gbit/s); + `to_units` converts a physical value (rounding half up) and `as_float` converts back. +- **The graph** (`Graph`) is directed and may have parallel links. Each edge has a capacity and + an integer cost of at least 1. Edges are numbered (their `EdgeId`) by sorting on source, cost + and destination. An edge of capacity 0 is an empty link, not a missing one: routing still uses + it, and traffic sent there is lost. +- **A failure** is an `Eligibility`: the nodes and edges a call may not use. +- **A demand** is traffic from a set of sources to a set of destinations. A `FlowPolicy` routes + one demand on a `FlowLedger`, the record of what each edge carries; several demands share one + ledger, and `apply_actions` places them one after another or at the same time. +- **The routing model** decides the routes: + - `ShortestPaths`: routers forwarding on shortest paths, split equally (ECMP) or by + weights (WCMP), or a controller restricted to those paths; + - `DistributedTE` (called T1 in the docs): each source router sets up its own N tunnels of + fixed bandwidth on the shortest path with enough unreserved bandwidth, as RSVP-TE head ends + do; + - `CentralizedTE`: an ideal controller, the cheapest flow that delivers the most; with a + tunnel count (T2), it lays out the same number of single-path tunnels for every source + router, all of one planned bandwidth; + - `Pinned`: forwards a given program, to replay a result or study a failure. +- **Admission** says what happens to traffic that does not fit: `LOSSLESS` admits only what goes + through without loss, `LOSSY` sends everything and reports where it is lost. +- **A program** (`ForwardingProgram`) is what a model decided: the routes and the integer + weights that split traffic over them. `place`, `evaluate`, `replace` and `forward` return a + `PlacementResult`: what was delivered and lost, and where. +- **The evaluators** answer one question each on a fresh ledger at full capacity: + `evaluate_demand` for one demand (with `CentralizedTE` and the optimized source allocation, + the exact maximum flow, its cost curve and its minimum cut), `evaluate_pairs` for many + independent pairs in parallel, and `evaluate_edge_failures` for how much delivery each edge's + removal takes away. +- **Calls are all or nothing.** A failing call raises one exception and leaves every ledger, + policy and cache as it was, with two limits: running out of memory inside pybind11's own + object construction may crash the process, and a supplied shortest-path cache may keep + completed entries and lookup statistics. Native work releases Python's interpreter lock (the + GIL); calls on one ledger take effect one at a time, and different ledgers run in parallel. ## Quick Start +Two paths from node 0 to node 3: 10 Gbit/s at cost 1 per hop, and 5 Gbit/s at cost 2 per hop. +One unit is 1 Gbit/s (`q = 1.0`), so every printed amount is in Gbit/s. + ```python import netgraph_core as ngc -q = 2.0**-12 -# Two parallel paths from node 0 to node 3 (physical capacities 10 and 5). -caps = ngc.to_units([10.0, 10.0, 5.0, 5.0], q) -graph = ngc.Graph(4, [0, 1, 0, 2], [1, 3, 2, 3], caps, [1, 1, 2, 2], q) +q = 1.0 +graph = ngc.Graph(4, [0, 1, 0, 2], [1, 3, 2, 3], [10, 10, 5, 5], [1, 1, 2, 2], q) -config = ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.OPTIMIZED)) -result = ngc.evaluate_demand(graph, 0, 3, ngc.EvaluationOptions(config)) -print(ngc.as_float(result.call_delivered, q)) # 15.0 -print(result.marginal_cost_curve) # [(2, 40960), (4, 20480)] -print(result.total_cost) # 163840 +# The maximum flow: 10 on the cost-2 path, then 5 on the cost-4 path; the minimum cut is the first +# link of each path (edges 0 and 1). +te = ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.OPTIMIZED)) +r = ngc.evaluate_demand(graph, 0, 3, ngc.EvaluationOptions(te, outputs=ngc.OutputOptions(min_cut=True))) +print(r.call_delivered, r.marginal_cost_curve, r.min_cut) # 15 [(2, 10), (4, 5)] [0, 1] -# ECMP over the same graph: only the cost-2 path is shortest; 2 of the 12 are dropped on its first edge. +# ECMP sends 12 on the only shortest path; its first link (edge 0) carries 10 and drops 2. ecmp = ngc.FlowPolicyConfig(routing=ngc.ShortestPaths(), admission=ngc.Admission.LOSSY) -r = ngc.FlowPolicy(ngc.FlowLedger(graph), 0, 3, ecmp).place(ngc.to_units(12.0, q)) -print(ngc.as_float(r.call_delivered, q), r.call_edge_drops) # 10.0 [(0, 8192)] +r = ngc.FlowPolicy(ngc.FlowLedger(graph), 0, 3, ecmp).place(12) +print(r.call_delivered, r.call_edge_drops) # 10 [(0, 2)] -# T1: two tunnels sized for 12; the second finds no path with 6 units unreserved. +# T1: two tunnels of 6 for a demand of 12; the first takes the 10 path, the second finds no path +# with 6 unreserved. A reservation does not cap traffic: all 12 go into the tunnel that is up, +# and its path carries 10. t1 = ngc.FlowPolicyConfig(routing=ngc.DistributedTE(ngc.TunnelCount(2)), admission=ngc.Admission.LOSSY) -policy = ngc.FlowPolicy(ngc.FlowLedger(graph), 0, 3, t1) -r = policy.replace(ngc.to_units(12.0, q), design_demand=ngc.to_units(12.0, q)) -print([t.status.name for t in r.program.tunnels]) # ['UP', 'INSUFFICIENT_BANDWIDTH'] -print(ngc.as_float(r.call_delivered, q)) # 10.0 -print(ngc.as_float(r.plan.total_reserved_bandwidth, q)) # 6.0 - -# T2: 16 tunnels of one common size, 11 on the 10-unit path and 5 on the 5-unit one. -# The 10-unit path (40960 units) bounds the size at 40960/11, whose whole-unit floor is 3723; -# 59575 is the largest total whose round-robin split over the 16 tunnels still fits. -te16 = ngc.FlowPolicyConfig(routing=ngc.CentralizedTE(source_allocation=ngc.SourceAllocation.EQUAL, - tunnel_count=ngc.TunnelCount(16), prefer_headroom=True)) -r = ngc.FlowPolicy(ngc.FlowLedger(graph), 0, 3, te16).replace(float("inf")) -print(r.plan.max_fractional_bandwidth_per_tunnel, r.plan.max_bandwidth_per_tunnel, r.call_delivered) # 40960/11 3723 59575 +r = ngc.FlowPolicy(ngc.FlowLedger(graph), 0, 3, t1).replace(12, design_demand=12) +print([t.status.name for t in r.program.tunnels], r.call_delivered) # ['UP', 'INSUFFICIENT_BANDWIDTH'] 10 ``` +A `marginal_cost_curve` lists `(cost, units)` pairs: the first 10 units cost 2 each, the next 5 +cost 4 each. With a finer resolution the same calls count fractions exactly: +`ngc.to_units(2.5, 2**-12)` is 10240 units. + ## Installation ```bash pip install netgraph-core ``` -Or from source (the shipped configuration; `pip install -e .` is the editable development build, -which carries the private test hooks): - -```bash -pip install . -``` - -The package is typed: it ships `py.typed` and a type stub generated from the compiled module. - -### Build Optimizations - -Default builds include LTO and loop unrolling. For local development: +From source, `pip install .` builds the shipped configuration; `pip install -e .` is the editable +development build, which also carries private test hooks. The package is typed: it ships +`py.typed` and a type stub generated from the compiled module. -```bash -make install-native # CPU-specific optimizations (not portable) -``` - -## Repository Structure +## Documentation -``` -src/ # C++ implementation -include/netgraph/core/ # Public C++ headers -bindings/python/ # pybind11 bindings -python/netgraph_core/ # Python package -proofs/ # Lean proofs of the round-robin rule (not in the wheel) -tests/cpp/ # C++ tests (googletest) -tests/py/ # Python tests (pytest) -dev/ # Developer scripts (not shipped): checks, coverage, -dev/perf/ # and the A/B/A timing tool -``` +- [docs/semantics.md](https://github.com/networmix/NetGraph-Core/blob/main/docs/semantics.md): the exact rules (units and rounding, edge numbering, + which route a search returns, how each model splits traffic, results, failures, the + shortest-path cache and the evaluators), with worked examples that the tests run. +- The type stub `netgraph_core/__init__.pyi`: every signature, with its docstring. +- The C++ API: the headers under [include/netgraph/core/](https://github.com/networmix/NetGraph-Core/tree/main/include/netgraph/core); their names + are listed in the last section of the semantics. +- [proofs/](https://github.com/networmix/NetGraph-Core/blob/main/proofs/README.md): machine-checked Lean proofs of the round-robin splitting rule, + explained in [docs/formal/theorems/](https://github.com/networmix/NetGraph-Core/blob/main/docs/formal/theorems/round-robin.md). They prove the + mathematical rule, not the C++ code; nothing in the build or the package needs Lean. ## Development -```bash -make dev # Setup: venv, dependencies, pre-commit hooks -make check # Rebuild the editable extension, then everything check-ci runs -make check-ci # Lint, types, C++ tests (hooks on and off), Python tests (CI entrypoint) -make test # Python tests -make cpp-test # C++ tests (private hooks on) -make cpp-test-off # C++ tests without the hooks (the shipped configuration) -make sanitize-test # C++ tests under ASan/UBSan -make tsan-test # C++ tests under ThreadSanitizer -make cov # Combined coverage report (C++ + Python; its own venv and builds) -make stubs-check # The generated type stub: drift, package contents, typed clients -make format # Apply ruff formatting (make hooks runs every pre-commit fixer) -``` - -`make check` and `make check-ci` only verify; they never edit a file. - -Performance claims are timed with the A/B/A tool (old build, new build, then the old build again -on one machine, so drift shows), described in [dev/perf/README.md](dev/perf/README.md) -(`make perf-tool-test` tests the tool itself). - -[proofs/](proofs/README.md) holds machine-checked Lean proofs of the round-robin splitting rule, -explained with worked examples in [docs/formal/theorems/](docs/formal/theorems/round-robin.md). -They prove properties of the mathematical rule, not of the C++ code, and nothing in the build or -the installed package needs Lean. - -The editable development build (`make install`, `make dev`) carries the private test hooks -(CMake option `NETGRAPH_CORE_PRIVATE_HOOKS`; a wheel build does not); the test suites skip the -tests that need them when they are absent. +[CONTRIBUTING.md](https://github.com/networmix/NetGraph-Core/blob/main/CONTRIBUTING.md) covers setup, the test targets and the release process. In +short: `make dev` sets up a venv with the editable build and the pre-commit hooks, and +`make check` rebuilds the extension and runs every check without editing a file. +`make install-native` builds with CPU-specific optimizations (not portable). Performance claims +are timed with the A/B/A tool in [dev/perf/](https://github.com/networmix/NetGraph-Core/blob/main/dev/perf/README.md). ## Environment Variables | Variable | Effect | | --- | --- | -| `NGRAPH_CORE_BATCH_THREADS` | Default worker count of `evaluate_pairs` (an integer in [1, 4096]; 1 when unset or invalid; not read when a cache is supplied, which defaults to 1; an explicit `workers` wins). | -| `NGRAPH_CORE_SENSITIVITY_THREADS` | Default worker count of `evaluate_edge_failures` (as above). | +| `NGRAPH_CORE_BATCH_THREADS` | Default worker count of `evaluate_pairs`: an integer in [1, 4096]; 1 when unset or invalid, or when a cache is supplied. An explicit `workers` wins. | +| `NGRAPH_CORE_SENSITIVITY_THREADS` | The same for `evaluate_edge_failures`. | ## Requirements @@ -294,4 +127,4 @@ tests that need them when they are absent. ## License -[MIT License](LICENSE) +[MIT License](https://github.com/networmix/NetGraph-Core/blob/main/LICENSE) diff --git a/tests/py/removed_names_reviewed.txt b/tests/py/removed_names_reviewed.txt index 623c362..c0431f5 100644 --- a/tests/py/removed_names_reviewed.txt +++ b/tests/py/removed_names_reviewed.txt @@ -31,9 +31,6 @@ PlacementResult.edge_drops | drops | the epoch's drops on links [(EdgeId, units) PredecessorDAG.from_csr | via | len(via_edges); then every parent and via edge in range, eve | the via edge of a DAG entry PredecessorDAG.from_csr | via | no duplicate (child, via edge), acyclic; within a node the e | the via edge of a DAG entry PredecessorDAG.via_edges | via | int32 via EdgeId per entry (read-only view) | the via edge of a DAG entry -README.md | Route | ### Route structures | a route or routes (a heading such as 'Route structures' or 'Routes') -README.md | Route | - **Route choice**: one tie rule, `RouteTieBreak` (`FEWER_HO | a route or routes (a heading such as 'Route structures' or 'Routes') -README.md | weights | - **`ForwardingProgram`**: the routes and integer weights of | a program entry's integer weight (its share among its head's entries) ShortestPaths.edge_weights | weights | the explicit weights (one int per edge, a tuple), or None | WEIGHTED's member weights SourceFlow.total_edge_drops | dropped | LOSSY: its units dropped on links; 0 when LOSSLESS | traffic dropped on a link or at a black hole Tunnel | planned | planned_bandwidth: T2's planned bandwidth | T2's planned bandwidth @@ -599,13 +596,6 @@ docs/semantics.md | weights | shares (`SourceAllocation.EQUAL`), highest-average CentralizedTE | tunnels | heads and over each head's tunnels; planned bandwidth is nev | a model's tunnels (ForwardingProgram.tunnels is the current name) CentralizedTE | tunnels | their share), N single-path tunnels with one common whole-un | a model's tunnels (ForwardingProgram.tunnels is the current name) PlacementResult | drops | offer is then the demand's source drops and every row is zer | losses on links or at a source -README.md | Route | - **Route allocations** (`RouteAllocation`) say how a demand | a route or routes (a heading such as 'Route structures' or 'Routes') -README.md | tunnels | ([T1](docs/semantics.md#t1-tunnels-set-up-by-their-heads)). | a model's tunnels (ForwardingProgram.tunnels is the current name) -README.md | tunnels | ([T2](docs/semantics.md#t2-the-controllers-equal-tunnels)). | a model's tunnels (ForwardingProgram.tunnels is the current name) -README.md | tunnels | lays out N single-path tunnels per head with one common whol | a model's tunnels (ForwardingProgram.tunnels is the current name) -README.md | tunnels | tunnels by CSPF, as RSVP-TE head ends do, with no controller | a model's tunnels (ForwardingProgram.tunnels is the current name) -README.md | tunnels | without tunnels: highest-averages shares of declared source | a model's tunnels (ForwardingProgram.tunnels is the current name) -README.md | weights | without tunnels: highest-averages shares of declared source | the declared source weights of WEIGHTED sources docs/semantics.md | Residual | - **Residual.** The free capacity of an edge: in a ledger, i | the term 'Residual' (an edge's free capacity) docs/semantics.md | Route | - **Route allocation.** How a demand's traffic is split at e | a route or routes (a heading such as 'Route structures' or 'Routes') docs/semantics.md | Route | - **Routes.** At u, the count vectors `x` (the tunnels on ea | a route or routes (a heading such as 'Route structures' or 'Routes') @@ -649,3 +639,9 @@ PlacementResult | remaining | LOSSY, for an empty roster and for a forwarding wh docs/semantics.md | weights | - `forward` solves nothing: it sends its offer over the inst | a program entry's integer weight (its share among its head's entries) docs/semantics.md | weights | and a forwarding whose remaining captured source weights are | the captured source weights of a program's injection docs/semantics.md | weights | weights** (`source_weights`: every roster source, a zero sup | the captured source weights of a program's injection +README.md | cost | an integer cost of at least 1. Edges are numbered (their `Ed | an edge's or a path's cost (Path.cost is the current name) +README.md | cost | the exact maximum flow, its cost curve and its minimum cut), | the marginal cost curve of a solve (marginal_cost_curve is the current name) +README.md | tunnels | - `DistributedTE` (called T1 in the docs): each source route | a model's tunnels (ForwardingProgram.tunnels is the current name) +README.md | tunnels | tunnel count (T2), it lays out the same number of single-pat | a model's tunnels (ForwardingProgram.tunnels is the current name) +README.md | weights | weights (WCMP), or a controller restricted to those paths; | WCMP's integer split weights +README.md | weights | weights that split traffic over them. `place`, `evaluate`, ` | a program entry's integer weight (its share among its head's entries) From 65412093ef30c3408acd7fff424809351d80dec5 Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Tue, 27 Oct 2026 03:18:04 +0000 Subject: [PATCH 33/39] Tests check documentation only by running it Remove the tests that asserted the wording of the README, changelog, docstrings and comments: the search for names removed in 0.11 with its list of exceptions, the docstring name census and literal sentence checks. The proof gate no longer fingerprints the prose it cites; it still checks the cited headings and anchors, the native source, and every proof. Documented examples still run and print what the pages show. Co-Authored-By: Claude Opus 5.5 --- dev/proofs/test_tool.py | 8 - proofs/Checks/audit.py | 8 +- proofs/theorems.json | 56 +- tests/py/removed_names.txt | 268 --------- tests/py/removed_names_reviewed.txt | 647 ---------------------- tests/py/test_apply_actions.py | 4 - tests/py/test_docs_examples.py | 4 +- tests/py/test_public_surface.py | 107 +--- tests/py/test_removed_names.py | 797 --------------------------- tests/py/test_shortest_path_cache.py | 1 - 10 files changed, 33 insertions(+), 1867 deletions(-) delete mode 100644 tests/py/removed_names.txt delete mode 100644 tests/py/removed_names_reviewed.txt delete mode 100644 tests/py/test_removed_names.py diff --git a/dev/proofs/test_tool.py b/dev/proofs/test_tool.py index 270e059..e451560 100644 --- a/dev/proofs/test_tool.py +++ b/dev/proofs/test_tool.py @@ -289,20 +289,12 @@ def save_inventory(data: dict) -> None: save_inventory(changed) run("missing-theorem", "inventory differs from theorem ID markers") restore() - edit("docs/semantics.md", "Both are monotone:", "Both are not monotone:") - run("semantic-drift", "applicability digest drift") - restore() with (root / "src/route_kernels.cpp").open("a") as stream: stream.write("\n// changed mapped input\n") run("native-drift", "applicability digest drift") restore() explanation = "docs/formal/theorems/round-robin.md" edit(explanation, '', "") - changed = json.loads((root / "proofs/theorems.json").read_text()) - new_hash = hashlib.sha256((root / explanation).read_bytes()).hexdigest() - for record in changed["theorems"]: - record["mapped_inputs"]["explanation"]["sha256"] = new_hash - save_inventory(changed) run("missing-explanation-anchor", "missing explanation anchor") restore() text = (root / MODEL).read_text() diff --git a/proofs/Checks/audit.py b/proofs/Checks/audit.py index 043faed..06991a6 100644 --- a/proofs/Checks/audit.py +++ b/proofs/Checks/audit.py @@ -186,9 +186,8 @@ def input_state(inventory: dict) -> dict: def record_inputs(record: dict, inputs: dict) -> dict: result = {"semantics": [], "implementation": [], "explanation": {}} for ref in record["semantics"]: - value = digest(section_text(ref["file"], ref["heading"])) - result["semantics"].append({**ref, "sha256": value}) - inputs[ref["file"]] = digest(source_file(ref["file"]).read_bytes()) + section_text(ref["file"], ref["heading"]) + result["semantics"].append(dict(ref)) for ref in record["implementation"]["sources"]: value = digest(source_file(ref["file"]).read_bytes()) result["implementation"].append({**ref, "sha256": value}) @@ -197,8 +196,7 @@ def record_inputs(record: dict, inputs: dict) -> dict: text = source_file(ref["file"]).read_text() if f'' not in text: fail(f"missing explanation anchor: {ref['anchor']}") - result["explanation"] = {**ref, "sha256": digest(text)} - inputs[ref["file"]] = digest(text) + result["explanation"] = dict(ref) return result diff --git a/proofs/theorems.json b/proofs/theorems.json index 70c3e80..6fb2b44 100644 --- a/proofs/theorems.json +++ b/proofs/theorems.json @@ -2,7 +2,7 @@ "audit_sources": { "Checks/Examples.lean": "b0529783d314ea0f8ef553d5e2b2851f52020f325596a99897d8d217fdaad686", "Checks/Main.lean": "e4914f8f1cf7baee4b0b8d587ae8266fa1d78511839a63e7d9fb0442040d29db", - "Checks/audit.py": "c9a7dfd4c0e723e67aa1cd1f17a1f379df635e3217e57db7d486fe543611a547" + "Checks/audit.py": "a1e089faf88d01651ff877580dac13d2758cd1f067cce5a5dc8b3e0c6ba77c16" }, "modules": [ "NetGraphCore.lean", @@ -93,8 +93,7 @@ "mapped_inputs": { "explanation": { "anchor": "NGC-AP-001", - "file": "docs/formal/theorems/round-robin.md", - "sha256": "130ee173864d1101076a3f3fcf6637b4886ced0e91c81f8b7ef38cac74b494da" + "file": "docs/formal/theorems/round-robin.md" }, "implementation": [ { @@ -130,13 +129,11 @@ "semantics": [ { "file": "docs/semantics.md", - "heading": "### Splitting whole units", - "sha256": "c78d73f278b5e3497314d983bb48f057084bc397eed7957d89ce0cdb1ab0f220" + "heading": "### Splitting whole units" }, { "file": "docs/semantics.md", - "heading": "### Epochs", - "sha256": "5fe3f528a9f6150adcefff2a190a3e3ae7523bd622a730791d4079fc2fb0dfd2" + "heading": "### Epochs" } ] }, @@ -224,8 +221,7 @@ "mapped_inputs": { "explanation": { "anchor": "NGC-AP-002", - "file": "docs/formal/theorems/round-robin.md", - "sha256": "130ee173864d1101076a3f3fcf6637b4886ced0e91c81f8b7ef38cac74b494da" + "file": "docs/formal/theorems/round-robin.md" }, "implementation": [ { @@ -261,13 +257,11 @@ "semantics": [ { "file": "docs/semantics.md", - "heading": "### Splitting whole units", - "sha256": "c78d73f278b5e3497314d983bb48f057084bc397eed7957d89ce0cdb1ab0f220" + "heading": "### Splitting whole units" }, { "file": "docs/semantics.md", - "heading": "### Epochs", - "sha256": "5fe3f528a9f6150adcefff2a190a3e3ae7523bd622a730791d4079fc2fb0dfd2" + "heading": "### Epochs" } ] }, @@ -354,8 +348,7 @@ "mapped_inputs": { "explanation": { "anchor": "NGC-AP-003", - "file": "docs/formal/theorems/round-robin.md", - "sha256": "130ee173864d1101076a3f3fcf6637b4886ced0e91c81f8b7ef38cac74b494da" + "file": "docs/formal/theorems/round-robin.md" }, "implementation": [ { @@ -391,13 +384,11 @@ "semantics": [ { "file": "docs/semantics.md", - "heading": "### Splitting whole units", - "sha256": "c78d73f278b5e3497314d983bb48f057084bc397eed7957d89ce0cdb1ab0f220" + "heading": "### Splitting whole units" }, { "file": "docs/semantics.md", - "heading": "### Epochs", - "sha256": "5fe3f528a9f6150adcefff2a190a3e3ae7523bd622a730791d4079fc2fb0dfd2" + "heading": "### Epochs" } ] }, @@ -482,8 +473,7 @@ "mapped_inputs": { "explanation": { "anchor": "NGC-AP-004", - "file": "docs/formal/theorems/round-robin.md", - "sha256": "130ee173864d1101076a3f3fcf6637b4886ced0e91c81f8b7ef38cac74b494da" + "file": "docs/formal/theorems/round-robin.md" }, "implementation": [ { @@ -519,13 +509,11 @@ "semantics": [ { "file": "docs/semantics.md", - "heading": "### Splitting whole units", - "sha256": "c78d73f278b5e3497314d983bb48f057084bc397eed7957d89ce0cdb1ab0f220" + "heading": "### Splitting whole units" }, { "file": "docs/semantics.md", - "heading": "### Epochs", - "sha256": "5fe3f528a9f6150adcefff2a190a3e3ae7523bd622a730791d4079fc2fb0dfd2" + "heading": "### Epochs" } ] }, @@ -628,8 +616,7 @@ "mapped_inputs": { "explanation": { "anchor": "NGC-AP-005", - "file": "docs/formal/theorems/round-robin.md", - "sha256": "130ee173864d1101076a3f3fcf6637b4886ced0e91c81f8b7ef38cac74b494da" + "file": "docs/formal/theorems/round-robin.md" }, "implementation": [ { @@ -665,13 +652,11 @@ "semantics": [ { "file": "docs/semantics.md", - "heading": "### Splitting whole units", - "sha256": "c78d73f278b5e3497314d983bb48f057084bc397eed7957d89ce0cdb1ab0f220" + "heading": "### Splitting whole units" }, { "file": "docs/semantics.md", - "heading": "### Epochs", - "sha256": "5fe3f528a9f6150adcefff2a190a3e3ae7523bd622a730791d4079fc2fb0dfd2" + "heading": "### Epochs" } ] }, @@ -777,8 +762,7 @@ "mapped_inputs": { "explanation": { "anchor": "NGC-AP-006", - "file": "docs/formal/theorems/round-robin.md", - "sha256": "130ee173864d1101076a3f3fcf6637b4886ced0e91c81f8b7ef38cac74b494da" + "file": "docs/formal/theorems/round-robin.md" }, "implementation": [ { @@ -814,13 +798,11 @@ "semantics": [ { "file": "docs/semantics.md", - "heading": "### Splitting whole units", - "sha256": "c78d73f278b5e3497314d983bb48f057084bc397eed7957d89ce0cdb1ab0f220" + "heading": "### Splitting whole units" }, { "file": "docs/semantics.md", - "heading": "### Epochs", - "sha256": "5fe3f528a9f6150adcefff2a190a3e3ae7523bd622a730791d4079fc2fb0dfd2" + "heading": "### Epochs" } ] }, diff --git a/tests/py/removed_names.txt b/tests/py/removed_names.txt deleted file mode 100644 index b8e50d3..0000000 --- a/tests/py/removed_names.txt +++ /dev/null @@ -1,268 +0,0 @@ -# The names this release's development removed, and what took their place: the list that -# tests/py/test_removed_names.py reads to find any old name left in the repository's texts. Three -# tables: the public names (Name | Replacement), then the members and the C++ declarations (Kind | Name | -# Replacement). -| Name | Replacement | -| --- | --- | -| `PredDAG` | `PredecessorDAG` | -| `EdgeTieBreak` | `RouteTieBreak` | -| `EdgePriority` | removed: the score is part of the `RouteTieBreak` value (`HIGHER_CAPACITY`, `HIGHER_AVAILABLE_CAPACITY`, `HIGHER_HEADROOM`) | -| `PathSelection` | removed: `tie_break`, `multipath`, `parallel_edges` on `ShortestPaths`, `DistributedTE`, `SpfOptions`, `KspOptions` | -| `SpfOptions` | same name; `selection` replaced by `tie_break`, `multipath`, `parallel_edges` | -| `KspOptions` | same name; `selection` replaced by `tie_break`, `parallel_edges` (no multipath) | -| `Absolute` | `AbsoluteCost` | -| `Stretch` | `CostStretch` | -| `DagCache` | `ShortestPathCache` | -| `DagCacheMiss` | `ShortestPathCacheMiss` | -| `DagCacheStats` | `ShortestPathCacheStats` | -| `FlowPlacement` | `RouteAllocation` | -| `Origin` | `SourceAllocation` | -| `Tunnels` | `TunnelCount` | -| `CostOnly` | `ShortestPaths` | -| `CapacityAware` | `DistributedTE` | -| `Global` | `CentralizedTE` | -| `FlowPolicyConfig` | same name; only `routing` and `admission` remain | -| `ForwardingProgram` | same name; new `from_dag` | -| `Route` | `RouteDefinition` | -| `QueryOptions` | `EvaluationOptions` | -| `CapacityOptions` | `EvaluationOptions` | -| `SensitivityOptions` | `EvaluationOptions` | -| `capacity` | `evaluate_demand` | -| `batch_capacity` | `evaluate_pairs` | -| `sensitivity` | `evaluate_edge_failures` | -| Kind | Name | Replacement | -| --- | --- | --- | -| parameter | `batch_capacity:opts` | `evaluate_pairs:options` | -| parameter | `batch_capacity:per_pair_elig` | `evaluate_pairs:per_pair_eligibility` | -| parameter | `capacity:opts` | `evaluate_demand:options` | -| parameter | `CapacityAware.__init__:max_path_cost` | `DistributedTE.__init__:cost_ceiling` | -| parameter | `CapacityAware.__init__:tunnels` | `DistributedTE.__init__:tunnel_count` | -| property | `CapacityAware.max_path_cost` | `DistributedTE.cost_ceiling` | -| property | `CapacityAware.tunnels` | `DistributedTE.tunnel_count` | -| field | `EdgePriority.RESIDUAL` | removed; `RouteTieBreak.HIGHER_AVAILABLE_CAPACITY` | -| field | `EdgeTieBreak.DETERMINISTIC` | `RouteTieBreak.FEWER_HOPS` | -| field | `EdgeTieBreak.PREFER_HIGHER_PRIORITY` | removed; `RouteTieBreak.HIGHER_CAPACITY`, `HIGHER_AVAILABLE_CAPACITY` or `HIGHER_HEADROOM`, by the old priority | -| parameter | `FlowLedger.__init__:residual` | `FlowLedger.__init__:service_baseline` | -| parameter | `FlowLedger.__init__:unreserved` | `FlowLedger.__init__:reservation_baseline` | -| method | `FlowLedger.allocated` | `FlowLedger.carried` | -| method | `FlowLedger.bottleneck` | `FlowLedger.saturated_boundary_edges` | -| parameter | `FlowLedger.bottleneck:elig` | `FlowLedger.saturated_boundary_edges:eligibility` | -| method | `FlowLedger.capacity_units` | `FlowLedger.edge_capacity_units` | -| parameter | `FlowLedger.reset:residual` | `FlowLedger.reset:service_baseline` | -| parameter | `FlowLedger.reset:unreserved` | `FlowLedger.reset:reservation_baseline` | -| field | `FlowPlacement.EQUAL_BALANCED` | `RouteAllocation.EQUAL` | -| field | `FlowPlacement.MAX_FLOW` | `RouteAllocation.OPTIMIZED` | -| parameter | `FlowPolicy.__init__:elig` | `FlowPolicy.__init__:eligibility` | -| parameter | `FlowPolicy.place:volume` | `FlowPolicy.place:offer` | -| method | `FlowPolicy.placed_demand` | `FlowPolicy.delivered` | -| parameter | `FlowPolicyConfig.__init__:origin` | `ShortestPaths(source_allocation=...)`, `CentralizedTE(source_allocation=...)` (required there); none on `DistributedTE` or `Pinned` | -| parameter | `FlowPolicyConfig.__init__:placement` | `ShortestPaths(allocation=...)` (`from_routes` and `from_dag` have their own `allocation`) | -| parameter | `FlowPolicyConfig.__init__:weights` | `ShortestPaths(weight_basis=...)` | -| property | `FlowPolicyConfig.origin` | `ShortestPaths.source_allocation`, `CentralizedTE.source_allocation` | -| property | `FlowPolicyConfig.placement` | `ShortestPaths.allocation` | -| property | `FlowPolicyConfig.weights` | `ShortestPaths.weight_basis` | -| property | `FlowRecord.bundle` | `FlowRecord.route` | -| property | `FlowRecord.drops` | `FlowRecord.edge_drops` | -| property | `FlowRecord.edges` | `FlowRecord.edge_flows` | -| property | `FlowRecord.entry` | `FlowRecord.entry_id` | -| property | `FlowRecord.owner` | `FlowRecord.policy_id` | -| field | `FlowRecord.reserved_edges` | `FlowRecord.edge_reservations` | -| property | `FlowRecord.route_cost` | `FlowRecord.min_route_cost` | -| parameter | `ForwardingProgram.from_routes:placement` | `ForwardingProgram.from_routes:allocation` | -| parameter | `ForwardingProgram.from_routes:weights` | `ForwardingProgram.from_routes:weight_basis` | -| parameter | `Global.__init__:tunnels` | `CentralizedTE.__init__:tunnel_count` | -| property | `Global.tunnels` | `CentralizedTE.tunnel_count` | -| parameter | `Graph.__init__:capacity_units` | `Graph.__init__:edge_capacity_units` | -| parameter | `Graph.__init__:cost` | `Graph.__init__:edge_costs` | -| parameter | `Graph.__init__:dst` | `Graph.__init__:edge_destinations` | -| parameter | `Graph.__init__:src` | `Graph.__init__:edge_sources` | -| method | `Graph.capacity_units` | `Graph.edge_capacity_units` | -| method | `Graph.cost` | `Graph.edge_costs` | -| method | `Graph.cost_gcd` | `Graph.edge_cost_gcd` | -| method | `Graph.edge_dst` | `Graph.edge_destinations` | -| method | `Graph.edge_src` | `Graph.edge_sources` | -| method | `Graph.in_adj_edge_index` | `Graph.incoming_edges` | -| method | `Graph.in_row_offsets` | `Graph.incoming_offsets` | -| method | `Graph.input_index` | `Graph.input_positions` | -| method | `Graph.max_cost` | `Graph.max_edge_cost` | -| method | `Graph.row_offsets` | `Graph.outgoing_offsets` | -| parameter | `ksp:dst` | `ksp:destination` | -| parameter | `ksp:opts` | `ksp:options` | -| parameter | `ksp:src` | `ksp:source` | -| parameter | `KspOptions.__init__:elig` | `KspOptions.__init__:eligibility` | -| parameter | `KspOptions.__init__:max_path_cost` | `KspOptions.__init__:cost_ceiling` | -| property | `KspOptions.elig` | `KspOptions.eligibility` | -| property | `KspOptions.max_path_cost` | `KspOptions.cost_ceiling` | -| parameter | `OutputOptions.__init__:bottleneck` | `OutputOptions.__init__:saturated_boundary_edges` | -| parameter | `OutputOptions.__init__:reservation_edge_flows` | `OutputOptions.__init__:edge_reservations` | -| property | `OutputOptions.bottleneck` | `OutputOptions.saturated_boundary_edges` | -| property | `OutputOptions.reservation_edge_flows` | `OutputOptions.edge_reservations` | -| method | `Path.dst` | `Path.destination` | -| method | `Path.src` | `Path.source` | -| parameter | `PathSelection.__init__:multi_edge` | `parallel_edges=` on `ShortestPaths`, `DistributedTE`, `SpfOptions`, `KspOptions` | -| property | `PathSelection.multi_edge` | the model's or the search options' `parallel_edges` | -| property | `PlacementResult.bottleneck` | `PlacementResult.saturated_boundary_edges` | -| property | `PlacementResult.call_drops` | `PlacementResult.call_edge_drops` | -| property | `PlacementResult.call_source_loss` | `PlacementResult.call_source_drops` | -| property | `PlacementResult.cost_distribution` | `PlacementResult.marginal_cost_curve` | -| property | `PlacementResult.drops` | `PlacementResult.edge_drops` | -| property | `PlacementResult.placed` | `PlacementResult.call_delivered` | -| property | `PlacementResult.remaining` | `PlacementResult.call_undelivered` | -| field | `PlacementResult.reservation_edge_flows` | `PlacementResult.edge_reservations` | -| property | `PlacementResult.source_loss` | `PlacementResult.source_drops` | -| parameter | `PredDAG.from_csr:offsets` | `PredecessorDAG.from_csr:parent_offsets` | -| parameter | `PredDAG.from_csr:via` | `PredecessorDAG.from_csr:via_edges` | -| parameter | `QueryOptions.__init__:elig` | `EvaluationOptions.__init__:eligibility` | -| parameter | `QueryOptions.__init__:offered` | `EvaluationOptions.__init__:offer` | -| property | `QueryOptions.elig` | `EvaluationOptions.eligibility` | -| property | `QueryOptions.offered` | `EvaluationOptions.offer` | -| parameter | `resolve_to_paths:dst` | `resolve_to_paths:destination` | -| parameter | `resolve_to_paths:src` | `resolve_to_paths:source` | -| parameter | `Route.__init__:bundle` | `RouteDefinition.__init__:route` | -| property | `Route.bundle` | `RouteDefinition.route` | -| parameter | `sensitivity:opts` | `evaluate_edge_failures:options` | -| property | `SensitivityEntry.loss` | `SensitivityEntry.delivery_reduction` | -| property | `SourceFlow.dropped` | `SourceFlow.total_edge_drops` | -| property | `SourceFlow.source_loss` | `SourceFlow.source_drops` | -| parameter | `spf:opts` | `spf:options` | -| parameter | `SpfOptions.__init__:elig` | `SpfOptions.__init__:eligibility` | -| property | `SpfOptions.elig` | `SpfOptions.eligibility` | -| property | `Tunnel.index` | `Tunnel.entry_id` | -| field | `Tunnel.planned` | `Tunnel.planned_bandwidth` | -| field | `Tunnel.requested` | `Tunnel.requested_bandwidth` | -| field | `Tunnel.reserved` | `Tunnel.reserved_bandwidth` | -| property | `Tunnel.route_cost` | `Tunnel.path_cost` | -| property | `TunnelFlow.dropped` | `TunnelFlow.total_edge_drops` | -| property | `TunnelFlow.index` | `TunnelFlow.entry_id` | -| field | `TunnelPlan.common_share` | `TunnelPlan.max_bandwidth_per_tunnel` | -| field | `TunnelPlan.count` | `TunnelPlan.tunnels_per_head` | -| field | `TunnelPlan.fluid_share` | `TunnelPlan.max_fractional_bandwidth_per_tunnel` | -| field | `TunnelPlan.forwarding_bound` | `TunnelPlan.max_lossless_offer` | -| field | `TunnelPlan.head_design` | `TunnelPlan.design_by_head` | -| field | `TunnelPlan.live_heads` | `TunnelPlan.heads_with_capacity` | -| field | `TunnelPlan.planned_per_tunnel` | `TunnelPlan.planned_bandwidth_per_tunnel` | -| field | `TunnelPlan.planned_total` | `TunnelPlan.total_planned_bandwidth` | -| field | `TunnelPlan.reserved_total` | `TunnelPlan.total_reserved_bandwidth` | -| field | `TunnelPlan.route_cost` | `TunnelPlan.total_tunnel_cost` | -| parameter | `Tunnels.__init__:count` | `TunnelCount.__init__:per_head` | -| property | `Tunnels.count` | `TunnelCount.per_head` | -| field | `TunnelStatus.COST_CEILING` | `TunnelStatus.COST_CEILING_EXCEEDED` | -| field | `TunnelStatus.NO_BANDWIDTH` | `TunnelStatus.INSUFFICIENT_BANDWIDTH` | -| parameter | `FlowPolicyConfig.__init__:edge_weights` | `ShortestPaths(edge_weights=...)` | -| property | `FlowPolicyConfig.edge_weights` | `ShortestPaths.edge_weights` | -| parameter | `FlowPolicyConfig.__init__:selection` | removed; its fields became `tie_break`, `multipath`, `parallel_edges` of the model | -| property | `FlowPolicyConfig.selection` | removed | -| parameter | `PathSelection.__init__:tie_break`, `priority` | one `tie_break: RouteTieBreak` | -| parameter | `PathSelection.__init__:multipath` (bool or None) | `multipath: bool = True` on `ShortestPaths` and `SpfOptions` only | -| parameter | `SpfOptions.__init__:selection`, `KspOptions.__init__:selection` | removed; `tie_break`, `parallel_edges` (and `multipath` for `SpfOptions`) as keywords | -| parameter | `Global.__init__:support` + `tunnels` together (rejected before) | `CentralizedTE(source_allocation=..., support=dag, tunnel_count=...)` allowed | -| parameter | `Global.__init__` without an origin | `CentralizedTE(source_allocation=...)` required | -| property | `Stretch.factor` (float) | `CostStretch.factor` (a `fractions.Fraction`) | -| parameter | `Stretch.__init__:factor` float | a `Fraction`, an integer or a float read as `Fraction(str(f))` | -| parameter | `QueryOptions.__init__:offered` (some models only) | `EvaluationOptions(offer=...)`, finite, every model | -| property | `FlowRecord.placement` | removed: the configuration selects the computation, the program the forwarding | -| property | `PlacementResult.local_outcomes` | removed: `by_source` carries the per-source accounting (no per-source termination) | -| method | `FlowPolicy.usable_bundles` | removed: inspect the program (`FlowPolicy.program`) | -| property | `Pinned.bundles` | `Pinned.program`, built by `ForwardingProgram.from_routes` or `from_dag` | -| Kind | C++ name | Replacement | -| --- | --- | --- | -| file | `include/netgraph/core/dag_cache.hpp` | `include/netgraph/core/shortest_path_cache.hpp` | -| file | `include/netgraph/core/pred_dag.hpp` | `include/netgraph/core/route_structures.hpp` | -| file | `include/netgraph/core/program.hpp` | `include/netgraph/core/forwarding_program.hpp` | -| type | `Absolute` | `AbsoluteCost` | -| function | `batch_capacity` | `evaluate_pairs` | -| parameter | `batch_capacity:g` | `evaluate_pairs:graph` | -| function | `capacity` | `evaluate_demand` | -| parameter | `capacity:g` | `evaluate_demand:graph` | -| type | `CapacityAware` | `DistributedTE` | -| field | `CapacityAware::max_path_cost` | `DistributedTE::cost_ceiling` | -| type | `CostOnly` | `ShortestPaths` | -| type | `DagCache` | `ShortestPathCache` | -| constructor_or_destructor | `DagCache::DagCache` | `ShortestPathCache::ShortestPathCache` | -| parameter | `DagCache::lookup:elig` | `ShortestPathCache::lookup:eligibility` | -| parameter | `DagCache::lookup:g` | `ShortestPathCache::lookup:graph` | -| constructor_or_destructor | `DagCache::~DagCache` | `ShortestPathCache::~ShortestPathCache` | -| type | `DagCacheMiss` | `ShortestPathCacheMiss` | -| constructor_or_destructor | `DagCacheMiss::DagCacheMiss` | `ShortestPathCacheMiss::ShortestPathCacheMiss` | -| enum-value | `EdgePriority::Residual` | removed with `EdgePriority` | -| type | `EdgeTieBreak` | `RouteTieBreak` | -| enum-value | `EdgeTieBreak::Deterministic` | `RouteTieBreak::FewerHops` | -| enum-value | `EdgeTieBreak::PreferHigherPriority` | removed; `RouteTieBreak::HigherCapacity`, `HigherAvailableCapacity` or `HigherHeadroom` | -| function | `Eligibility::edge_ok` | `Eligibility::allows_edge` | -| function | `Eligibility::node_ok` | `Eligibility::allows_node` | -| function | `FlowLedger::allocated` | `FlowLedger::carried` | -| function | `FlowLedger::bottleneck` | `FlowLedger::saturated_boundary_edges` | -| parameter | `FlowLedger::bottleneck:elig` | `FlowLedger::saturated_boundary_edges:eligibility` | -| function | `FlowLedger::capacity_units` | `FlowLedger::edge_capacity_units` | -| parameter | `FlowLedger::FlowLedger:residual` | `FlowLedger::FlowLedger:service_baseline` | -| parameter | `FlowLedger::reset:residual` | `FlowLedger::reset:service_baseline` | -| type | `FlowPlacement` | `RouteAllocation` | -| enum-value | `FlowPlacement::EqualBalanced` | `RouteAllocation::Equal` | -| enum-value | `FlowPlacement::MaxFlow` | `RouteAllocation::Optimized` | -| parameter | `FlowPolicy::FlowPolicy:elig` | `FlowPolicy::FlowPolicy:eligibility` | -| parameter | `FlowPolicy::place:volume` | `FlowPolicy::place:offer` | -| function | `FlowPolicy::placed_demand` | `FlowPolicy::delivered` | -| field | `FlowPolicyConfig::origin` | `ShortestPaths::source_allocation`, `CentralizedTE::source_allocation` | -| field | `FlowPolicyConfig::placement` | `ShortestPaths::allocation` (the option lives in the model) | -| field | `FlowPolicyConfig::weights` | `ShortestPaths::weight_basis` | -| field | `FlowRecord::bundle` | `FlowRecord::route` | -| field | `FlowRecord::drops` | `FlowRecord::edge_drops` | -| field | `FlowRecord::edges` | `FlowRecord::edge_flows` | -| field | `FlowRecord::entry` | `FlowRecord::entry_id` | -| field | `FlowRecord::owner` | `FlowRecord::policy_id` | -| field | `FlowRecord::route_cost` | `FlowRecord::min_route_cost` | -| parameter | `ForwardingProgram::from_routes:g` | `ForwardingProgram::from_routes:graph` | -| type | `Global` | `CentralizedTE` | -| function | `Graph::capacity_units` | `Graph::edge_capacity_units` | -| function | `Graph::cost` | `Graph::edge_costs` | -| function | `Graph::cost_gcd` | `Graph::edge_cost_gcd` | -| function | `Graph::edge_dst` | `Graph::edge_destinations` | -| function | `Graph::edge_src` | `Graph::edge_sources` | -| parameter | `Graph::Graph:capacity_units` | `Graph::Graph:edge_capacity_units` | -| parameter | `Graph::Graph:cost` | `Graph::Graph:edge_costs` | -| parameter | `Graph::Graph:dst` | `Graph::Graph:edge_destinations` | -| parameter | `Graph::Graph:src` | `Graph::Graph:edge_sources` | -| function | `Graph::in_adj_edge_index` | `Graph::incoming_edges` | -| function | `Graph::in_row_offsets` | `Graph::incoming_offsets` | -| function | `Graph::input_index` | `Graph::input_positions` | -| function | `Graph::max_cost` | `Graph::max_edge_cost` | -| function | `Graph::row_offsets` | `Graph::outgoing_offsets` | -| parameter | `ksp:g` | `ksp:graph` | -| field | `KspOptions::elig` | `KspOptions::eligibility` | -| field | `KspOptions::max_path_cost` | `KspOptions::cost_ceiling` | -| type | `Origin` | `SourceAllocation` | -| field | `OutputOptions::bottleneck` | `OutputOptions::saturated_boundary_edges` | -| function | `Path::dst` | `Path::destination` | -| parameter | `Path::Path:g` | `Path::Path:graph` | -| function | `Path::src` | `Path::source` | -| field | `PathSelection::multi_edge` | `parallel_edges` of the model or the search options (`PathSelection` removed) | -| field | `PlacementResult::bottleneck` | `PlacementResult::saturated_boundary_edges` | -| field | `PlacementResult::call_drops` | `PlacementResult::call_edge_drops` | -| field | `PlacementResult::call_source_loss` | `PlacementResult::call_source_drops` | -| field | `PlacementResult::cost_distribution` | `PlacementResult::marginal_cost_curve` | -| field | `PlacementResult::drops` | `PlacementResult::edge_drops` | -| field | `PlacementResult::placed` | `PlacementResult::call_delivered` | -| field | `PlacementResult::remaining` | `PlacementResult::call_undelivered` | -| field | `PlacementResult::source_loss` | `PlacementResult::source_drops` | -| type | `PredDAG` | `PredecessorDAG` | -| parameter | `PredDAG::from_csr:g` | `PredecessorDAG::from_csr:graph` | -| type | `QueryOptions` | `EvaluationOptions` | -| field | `QueryOptions::elig` | `EvaluationOptions::eligibility` | -| field | `QueryOptions::offered` | `EvaluationOptions::offer` | -| parameter | `resolve_to_paths:g` | `resolve_to_paths:graph` | -| type | `Route` | `RouteDefinition` | -| field | `Route::bundle` | `RouteDefinition::route` | -| field | `RouteOptions::placement` | `RouteOptions::allocation` | -| field | `RouteOptions::weights` | `RouteOptions::weight_basis` | -| function | `sensitivity` | `evaluate_edge_failures` | -| parameter | `sensitivity:g` | `evaluate_edge_failures:graph` | -| field | `SensitivityEntry::loss` | `SensitivityEntry::delivery_reduction` | -| field | `SourceFlow::dropped` | `SourceFlow::total_edge_drops` | -| field | `SourceFlow::source_loss` | `SourceFlow::source_drops` | -| parameter | `spf:g` | `spf:graph` | -| field | `SpfOptions::elig` | `SpfOptions::eligibility` | -| type | `Stretch` | `CostStretch` | -| field | `Tunnel::index` | `Tunnel::entry_id` | -| field | `Tunnel::route_cost` | `Tunnel::path_cost` | -| field | `TunnelFlow::dropped` | `TunnelFlow::total_edge_drops` | -| field | `TunnelFlow::index` | `TunnelFlow::entry_id` | diff --git a/tests/py/removed_names_reviewed.txt b/tests/py/removed_names_reviewed.txt deleted file mode 100644 index c0431f5..0000000 --- a/tests/py/removed_names_reviewed.txt +++ /dev/null @@ -1,647 +0,0 @@ -# The reviewed uses of removed names (tests/py/test_removed_names.py), one row per line and word: -# place | word | substring unique to that line in its place | reason. Each was read where it stands; -# all are ordinary words of this domain's prose, a name current in another owner's sense, or a -# local variable of the same file. - -DistributedTE | tunnels | T1: every head sets up its own strict tunnels by CSPF, no co | a model's tunnels (ForwardingProgram.tunnels is the current name) -DistributedTE | tunnels | owner and of this setup's earlier tunnels) is at least max(r | a model's tunnels (ForwardingProgram.tunnels is the current name) -DistributedTE | tunnels | tunnel_count.per_head tunnels; in round order (round j, head | a model's tunnels (ForwardingProgram.tunnels is the current name) -DistributedTE | tunnels | tunnels; a head with no tunnel up loses its share. Holds nev | a model's tunnels (ForwardingProgram.tunnels is the current name) -DistributedTE | volume | The design volume D is split equally over the roster heads a | the design volume D of the tunnel models -EvaluationOptions.design_demand | volume | the tunnel models' design volume as given (int units or a fl | the design volume D of the tunnel models -FlowLedger | placed | only by reset(); the records are the flows placed on it by p | traffic placed (delivered) on a ledger -FlowPolicyConfig | edge_weights | for DistributedTE, the ceilings, min_unreserved_bandwidth an | ShortestPaths.edge_weights, where the field now lives -FlowRecord | entry | sources, destinations, admission, entry_id (a T1, T2 or Pinn | an entry of a program, an array or a CSR list -FlowRecord.entry_id | entry | the program entry the record carries (T1, T2 and Pinned: the | an entry of a program, an array or a CSR list -ForwardingProgram | weights | An immutable value: one demand's routes and integer weights. | a program entry's integer weight (its share among its head's entries) -ForwardingProgram | weights | highest averages over its entries' weights; identical routes | a program entry's integer weight (its share among its head's entries) -ForwardingProgram.from_dag | allocated | allocated equally and pooled at every shared router exactly | allocated memory, storage or amounts -ForwardingProgram.source_weights | weights | the captured source weights ((source, weight), ascending), o | the captured source weights of a program's injection -Graph | cost | Costs are positive integers; capacities are int64 units of t | an edge's or a path's cost (Path.cost is the current name) -Graph | cost | given in input order and numbered by sorting on (source, cos | an edge's or a path's cost (Path.cost is the current name) -Graph.__init__ | cost | and cost sums below 2^62); a value of a wrong type (a bool or | an edge's or a path's cost (Path.cost is the current name) -Graph.__init__ | cost | zero or negative costs, the remaining bounds (endpoints in r | an edge's or a path's cost (Path.cost is the current name) -Graph.edge_cost_gcd | cost | gcd of the edge costs (0 without edges) | an edge's or a path's cost (Path.cost is the current name) -Graph.edge_costs | cost | int64[E] costs, id order (read-only view) | an edge's or a path's cost (Path.cost is the current name) -Graph.incoming_edges | cost | int32[E]: the in-edges of v in (cost, source, input) order, | an edge's or a path's cost (Path.cost is the current name) -Graph.max_edge_cost | cost | largest edge cost (0 without edges) | an edge's or a path's cost (Path.cost is the current name) -PlacementResult.call_delivered | placed | the units placed (delivered) by this call | traffic placed (delivered) on a ledger -PlacementResult.call_edge_drops | drops | this call's drops on links [(EdgeId, units)], ascending Edge | losses on links or at a source -PlacementResult.edge_drops | drops | the epoch's drops on links [(EdgeId, units)], ascending Edge | losses on links or at a source -PredecessorDAG.from_csr | via | len(via_edges); then every parent and via edge in range, eve | the via edge of a DAG entry -PredecessorDAG.from_csr | via | no duplicate (child, via edge), acyclic; within a node the e | the via edge of a DAG entry -PredecessorDAG.via_edges | via | int32 via EdgeId per entry (read-only view) | the via edge of a DAG entry -ShortestPaths.edge_weights | weights | the explicit weights (one int per edge, a tuple), or None | WEIGHTED's member weights -SourceFlow.total_edge_drops | dropped | LOSSY: its units dropped on links; 0 when LOSSLESS | traffic dropped on a link or at a black hole -Tunnel | planned | planned_bandwidth: T2's planned bandwidth | T2's planned bandwidth -TunnelCount | count | The tunnel count of T1 (DistributedTE) and T2, per head: per | the tunnel count (tunnels per head) -TunnelCount | count | policy or an evaluator uses it). up_to=True (T2 only; T1 rej | the tunnel count (tunnels per head) -TunnelCount.per_head | count | the tunnels per head (the largest count for up_to) | the tunnel count (tunnels per head) -TunnelFlow.total_edge_drops | dropped | its units dropped on links | traffic dropped on a link or at a black hole -TunnelPlan | count | The tunnel models' setup summary (read-only): tunnels_per_he | the tunnel count (tunnels per head) -TunnelPlan.design_demand | volume | the design volume D in units; float('inf') when unlimited | the design volume D of the tunnel models -TunnelPlan.total_tunnel_cost | count | T2: the sum of cost * tunnel count over the links (exact; ca | the number of tunnels using each link -TunnelPlan.tunnels_per_head | count | the tunnels per head (T2 up to: the chosen count) | the tunnel count (tunnels per head) -bindings/python/hooks.cpp | allocated | are counted, so a test also sees what a failed call left all | allocated memory, storage or amounts -bindings/python/publication.hpp | allocated | The checked construction of result objects: the Python objec | allocated memory, storage or amounts -bindings/python/publication.hpp | allocated | value (std::shared_ptr also deletes it when its control bloc | allocated memory, storage or amounts -bindings/python/publication.hpp | make_new_instance | pybind11's make_new_instance uses the result of tp_alloc unc | pybind11's own name -bindings/python/publication.hpp | throw_if_missing | throw_if_missing= | pybind11's own name -bindings/python/publication.hpp | type_caster_generic | generic move-cast (type_caster_generic::cast) but with the o | pybind11's own name -code:include/netgraph/core/detail/search_detail.hpp | priority | priority_value | the internal tie score of the search (Priority, PriorityReader, priority_value): a current internal name -code:src/flow_policy.cpp | priority | as_priority_reader | the internal tie score of the search (Priority, PriorityReader, priority_value): a current internal name -code:src/flow_policy.cpp | priority | priority_value | the internal tie score of the search (Priority, PriorityReader, priority_value): a current internal name -code:src/min_cost_flow.cpp | origin | origin | repair()'s origin node (where a repair search starts), not the removed source-allocation term -code:src/search.cpp | priority | prefer_priority | the internal tie score of the search (Priority, PriorityReader, priority_value): a current internal name -code:src/search.cpp | priority | priority | the internal tie score of the search (Priority, PriorityReader, priority_value): a current internal name -code:src/search.cpp | priority | priority_value | the internal tie score of the search (Priority, PriorityReader, priority_value): a current internal name -code:tests/cpp/contract_examples_tests.cpp | Stretch | A_X8_Stretch_cost7 | the test of the worked example `A-X8-Stretch-cost7` (an example id as a test label) -code:tests/cpp/contract_examples_tests.cpp | Stretch | A_X8_Stretch_exact | the test of the worked example `A-X8-Stretch-exact` (an example id as a test label) -code:tests/cpp/test_utils.hpp | priority | priority | the test helper that computes the internal tie score of an edge -code:tests/py/test_centralized_te_tunnels.py | priority | priority | the retired keyword passed on purpose: the test checks it is rejected -code:tests/py/test_configuration.py | origin | origin | the retired keyword passed on purpose: the test checks it is rejected -code:tests/py/test_configuration.py | selection | selection | the retired keyword passed on purpose: the test checks it is rejected -code:tests/py/tunnel_oracle.py | priority | priority | the oracle's tie score of an edge (as the library's internal priority_value) -dev/perf/aba.py | selection | row, and a selection has at least one (``choose_rows``). | the timing tool's row selection (--rows) -dev/perf/aba.py | selection | selection, ``--iters`` (the pins) and the report's start. Re | the timing tool's row selection (--rows) -dev/perf/aba.py | selection | their groups it did not, and per group the rows the whole se | the timing tool's row selection (--rows) -dev/perf/aba_api.hpp | dst | * spf_dag (spf.dag.*): spf(g, {src}, Forward, targets {dst}) | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) -dev/perf/aba_api.hpp | dst | * spf_path (spf.single.canonical16k): spf(g, {src}, Forward, | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) -dev/perf/aba_api.hpp | dst | * spf_to (spf.to.random16k): spf(g, {dst}, Reverse, no targe | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) -dev/perf/aba_api.hpp | dst | One demand's program: the optimized CentralizedTE solve of ` | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) -dev/perf/aba_api.hpp | g | * spf_dag (spf.dag.*): spf(g, {src}, Forward, targets {dst}) | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) -dev/perf/aba_api.hpp | g | * spf_path (spf.single.canonical16k): spf(g, {src}, Forward, | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) -dev/perf/aba_api.hpp | g | * spf_to (spf.to.random16k): spf(g, {dst}, Reverse, no targe | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) -dev/perf/aba_api.hpp | g | The queue a search with the default queue (Auto) takes on g: | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) -dev/perf/aba_api.hpp | g | spf(g, {src}, Forward, no targets), the default route choice | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) -dev/perf/aba_api.hpp | src | * spf_dag (spf.dag.*): spf(g, {src}, Forward, targets {dst}) | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) -dev/perf/aba_api.hpp | src | * spf_path (spf.single.canonical16k): spf(g, {src}, Forward, | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) -dev/perf/aba_api.hpp | src | One demand's program: the optimized CentralizedTE solve of ` | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) -dev/perf/aba_api.hpp | src | spf(g, {src}, Forward, no targets), the default route choice | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) -dev/perf/aba_api.hpp | u_k | N, E, max_edge_cost, edge_cost_gcd; then for the 16 nodes u_ | a math symbol of the comment's formula -dev/perf/aba_api.hpp | v_k | number of DAG entries; the distances of the 16 nodes v_k = ( | a math symbol of the comment's formula -dev/perf/aba_rows.hpp | allocated | grows. Both are allocated and written before the row's setup | allocated memory, storage or amounts -dev/perf/aba_rows.hpp | dst | The digest of an input (node count, then src, dst and cost o | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) -dev/perf/aba_rows.hpp | dst | The full-content digest of an input: n and E, then src, dst, | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) -dev/perf/aba_rows.hpp | dst | dst): the B' id order; reversed: the whole sequence of that | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) -dev/perf/aba_rows.hpp | random1m_nat | (random1m_nat) or the same edges in a uniform random order ( | a timing row's name (the tool keeps row names) -dev/perf/aba_rows.hpp | random1m_scat | (random1m_nat) or the same edges in a uniform random order ( | a timing row's name (the tool keeps row names) -dev/perf/aba_rows.hpp | src | The digest of an input (node count, then src, dst and cost o | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) -dev/perf/aba_rows.hpp | src | The full-content digest of an input: n and E, then src, dst, | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) -dev/perf/aba_rows.hpp | src | of input positions where src decreases, and whether the inpu | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) -dev/perf/aba_rows.hpp | src | recovered from the same draws (1 + k for the generator's 1 + | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) -dev/perf/test_tool.py | allocated | the per-iteration bookkeeping is allocated before the setup | allocated memory, storage or amounts -dev/perf/test_tool.py | selection | main's character check passes '?', '[', ']' and '!' on to th | the timing tool's row selection (--rows) -dev/perf/test_tool.py | selection | memory rule, the verdicts, the bootstrap interval, the clust | the timing tool's row selection (--rows) -docs/semantics.md | Residual | - **EdgeId order is the coordinate of every per-edge value.* | the term 'Residual' (an edge's free capacity) -docs/semantics.md | Residual | - **Residual gating** (only when a `residual` array is suppl | the term 'Residual' (an edge's free capacity) -docs/semantics.md | Residual | - **Residual gating** at 1 unit when a residual is supplied. | the term 'Residual' (an edge's free capacity) -docs/semantics.md | Route | ## 3. Route values: PredecessorDAG and Path | a route or routes (a heading such as 'Route structures' or 'Routes') -docs/semantics.md | Route | ## 5. Route allocations and admission | a route or routes (a heading such as 'Route structures' or 'Routes') -docs/semantics.md | Route | - **Route choice.** The tie rule (`RouteTieBreak`), `multipa | a route or routes (a heading such as 'Route structures' or 'Routes') -docs/semantics.md | Route | 3. [Route values: PredecessorDAG and Path](#3-route-values-p | a route or routes (a heading such as 'Route structures' or 'Routes') -docs/semantics.md | Route | 5. [Route allocations and admission](#5-route-allocations-an | a route or routes (a heading such as 'Route structures' or 'Routes') -docs/semantics.md | allocated | sources are allocated equally and pooled at every shared rou | allocated memory, storage or amounts -docs/semantics.md | cost | - **EdgeId.** The EdgeId of an edge is its rank in the stabl | an edge's or a path's cost (Path.cost is the current name) -docs/semantics.md | cost | `(cost, source, input)` order. Both offset arrays have `N + | an edge's or a path's cost (Path.cost is the current name) -docs/semantics.md | cost | `outgoing_offsets()[u]` to `outgoing_offsets()[u + 1] - 1`, | an edge's or a path's cost (Path.cost is the current name) -docs/semantics.md | cost | are rejected with `TypeError`, not rounded); the array shapes | an edge's or a path's cost (Path.cost is the current name) -docs/semantics.md | cost | bounds (node ids in range, then the capacity and cost sums b | an edge's or a path's cost (Path.cost is the current name) -docs/semantics.md | cost | capacity sum before the cost sum at the same edge). Integers | an edge's or a path's cost (Path.cost is the current name) -docs/semantics.md | cost | public number, its EdgeId, by sorting the edges by source, c | an edge's or a path's cost (Path.cost is the current name) -docs/semantics.md | cost | `NodeId`, `EdgeId` (`int32`), the cost and amount aliases (` | an edge's or a path's cost (Path.cost is the current name) -docs/semantics.md | count | (`DistributedTE requires an exact tunnel count`), then the c | the tunnel count (tunnels per head) -docs/semantics.md | count | - **Sizing.** `H` roster heads in ascending node id, `N = tu | the tunnel count (tunnels per head) -docs/semantics.md | count | 10000]`; `TunnelCount(per_head)` itself takes any 64-bit int | the tunnel count (tunnels per head) -docs/semantics.md | count | Eligibility. Every step (roster, live heads, sizing, count c | the tunnel count (tunnels per head) -docs/semantics.md | count | Then each model's own fields: the tunnel count in `[1, 10000 | the tunnel count (tunnels per head) -docs/semantics.md | count | carried loads per edge: summing them counts every hop, not t | the verb 'to count' (a tally), not a tunnel count -docs/semantics.md | count | is never held. A tunnel count is a number of setup attempts | the tunnel count (tunnels per head) -docs/semantics.md | count | partial hold, retry, growth or count reduction; `min_unreser | reducing the number of tunnels -docs/semantics.md | count | result. A failed lookup counts one miss. A frozen cache neve | the verb 'to count' (a tally), not a tunnel count -docs/semantics.md | count | the share. `a` live heads, `k` tunnels each (`N`, or the cho | the tunnel count (tunnels per head) -docs/semantics.md | count | without a tunnel count, and `ShortestPaths` with `allocation | the tunnel count (tunnels per head) -docs/semantics.md | dropped | carries traffic. Records and `OutputOptions` give the carrie | traffic dropped on a link or at a black hole -docs/semantics.md | edge_weights | built from one model read one `edge_weights` array). | ShortestPaths.edge_weights, where the field now lives -docs/semantics.md | edge_weights | edge_weights=None, tie_break=RouteTieBreak.FEWER_HOPS, multi | ShortestPaths.edge_weights, where the field now lives -docs/semantics.md | edges | - **Member graph.** The edges a search may use: eligible (an | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) -docs/semantics.md | edges | - **Parallel members.** Several edges between the same two n | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) -docs/semantics.md | edges | - **Shortest-path DAG.** The set of all tight edges: every s | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) -docs/semantics.md | edges | `CentralizedTE`'s `tunnel_count`, `FlowRecord.entry_id`, a d | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) -docs/semantics.md | edges | `RESIDUAL_SNAPSHOT` reads; it has no default). A split route | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) -docs/semantics.md | edges | ascending EdgeId. It follows edges forward only. It ignores | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) -docs/semantics.md | edges | kinds), `destination`, `edges` (in path order), `path_cost` | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) -docs/semantics.md | edges | set of nodes reachable from the allowed sources over edges w | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) -docs/semantics.md | edges | traffic (holds play no part): the edges (eligible, at least | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) -docs/semantics.md | entry | (`service_baseline has length , expected (one entry p | an entry of a program, an array or a CSR list -docs/semantics.md | entry | - **Entry identifiers.** Every entry has an integer `entry_i | an entry of a program, an array or a CSR list -docs/semantics.md | entry | - **Entry.** One route of a program: a **tunnel** (one path, | an entry of a program, an array or a CSR list -docs/semantics.md | entry | - **Injection.** A total `x` enters at the roster (the heads | an entry of a program, an array or a CSR list -docs/semantics.md | entry | `admission`; `entry_id` (a T1, T2 or `Pinned` record: the id | an entry of a program, an array or a CSR list -docs/semantics.md | entry | are never merged: each entry takes its own share. `ShortestP | an entry of a program, an array or a CSR list -docs/semantics.md | entry | entry in `[0, edge_capacity_units[e]]` (a physical baseline | an entry of a program, an array or a CSR list -docs/semantics.md | entry | route** (a DAG whose routers split by fixed rules). Each ent | an entry of a program, an array or a CSR list -docs/semantics.md | factor | 5. anything else raises `TypeError` (`CostStretch factor mus | CostStretch.factor, the current name -docs/semantics.md | factor | or an infinity raises `ValueError` (`CostStretch factor must | CostStretch.factor, the current name -docs/semantics.md | owner | occupancy. T1's setup reads `unreserved` (other owners' hold | the owner of a hold (another policy) -docs/semantics.md | placed | **In plain words.** A `FlowLedger` holds what is placed on o | traffic placed (delivered) on a ledger -docs/semantics.md | placed | already placed, so the pairs are not the costs of the paths | traffic placed (delivered) on a ledger -docs/semantics.md | placed | be placed raises `ShortestPathCacheMiss` through a frozen ca | traffic placed (delivered) on a ledger -docs/semantics.md | placement | infinite one is rejected (`finite placement after infinite p | placing traffic -docs/semantics.md | placement | placement` or `CentralizedTE with tunnel_count does not supp | placing traffic -docs/semantics.md | planned | `planned_bandwidth` (T2's planned bandwidth u, never held; 0 | T2's planned bandwidth -docs/semantics.md | priority | - **Not modelled:** traffic classes and priority queues, RSV | a score's priority order, or a priority queue -docs/semantics.md | priority | a hold can use bandwidth that T1 holds: there is no priority | a score's priority order, or a priority queue -docs/semantics.md | tunnels | ([T1](#t1-tunnels-set-up-by-their-heads)). | a link anchor, the slug of the docs' own heading -docs/semantics.md | tunnels | ([T2](#t2-the-controllers-equal-tunnels)). The controller ru | a link anchor, the slug of the docs' own heading -docs/semantics.md | tunnels | (empty without tunnels): `entry_id`, `head`, `status` (`UP`; | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | **without tunnels that keeps the roster**: `policy.program` | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | - **Design demand.** The volume T1 and T2 size their tunnels | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | - **Sizing.** Tunnels of a common size `s > 0` exist exactly | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | - **T1.** `DistributedTE(TunnelCount(N))`: every head sets u | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | - **`CentralizedTE(tunnel_count=...)` (T2)** lays out its tu | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | - **`DistributedTE` (T1)** sets up its tunnels for a design | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | All N tunnels are still set up: a tunnel with request 0 come | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | Otherwise every live head has `k` tunnels. No partial progra | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | [T2](#t2-the-controllers-equal-tunnels); `None` for every ot | a link anchor, the slug of the docs' own heading -docs/semantics.md | tunnels | `TunnelPlan` of that program, [T1](#t1-tunnels-set-up-by-the | a link anchor, the slug of the docs' own heading -docs/semantics.md | tunnels | `forward(offer)` forwards the installed program and keeps it | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | `total_planned_bandwidth` is `K * u`. Once U >= 1, every liv | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | attributed to one of its down tunnels. | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | bring more tunnels up or fewer. | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | controller lays out N single-path tunnels for every live hea | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | controller, and each head (a roster source) sets up its own | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | demand is never renormalised over the heads that have tunnel | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | equally at the heads and splits equally over each head's tun | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | equally over the heads and each head's share equally over it | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | guaranteed up, and two tunnels may take the same links. | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | is 0 and an offer is forwarded over the tunnels. | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | is never held. A tunnel count is a number of setup attempts | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | it always keeps every parallel link, uses single-path tunnel | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | its share is below k units, including a design of 0 (the tun | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | node id; a head's share goes only to its own tunnels, and wh | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | plan before assuming `len(tunnels) == N * H`. | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | preemption, bandwidth policing, automatically disjoint or SR | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | projection ([section 6](#6-the-ledger)): they decide which t | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | request `RR(share, N, j)`: the tunnels of one head differ by | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | requests of the tunnels already up in this setup. | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | robin over that head's up tunnels in local order. A head wit | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | roster head) and `total_reserved_bandwidth` (the up tunnels' | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | sequence (duplicates are separate tunnels). The tunnels are | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | single-path tunnels, all planned with one common whole-unit | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | the share. `a` live heads, `k` tunnels each (`N`, or the cho | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | then round robin over the head's `k` tunnels in local order; | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | `design_demand` required and finite; `offer` `None`: the los | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | `EQUAL`, fixed | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | tralizedTE(source_allocation=..., tunnel_count=...)`, option | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | an ideal controller that sees the whole network, or only the | a link anchor, the slug of the docs' own heading -docs/semantics.md | tunnels | distributed strict-bandwidth tunnels, as RSVP-TE head ends s | a link anchor, the slug of the docs' own heading -docs/semantics.md | tunnels | up whose paths or up and down tunnels differ from the instal | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | h's first nonempty program (`ShortestPaths` and the controll | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | via | ascending via EdgeId. A wrong type raises `TypeError`; | the via edge of a DAG entry -docs/semantics.md | via | ends at `len(parents) == len(via_edges)`; then every id is i | the via edge of a DAG entry -docs/semantics.md | via | node, no `(node, via)` pair repeats, the DAG has no cycle an | the via edge of a DAG entry -docs/semantics.md | volume | - **Design demand.** The volume T1 and T2 size their tunnels | the design volume D of the tunnel models -docs/semantics.md | weights | (`from_dag allocation must be EQUAL or WEIGHTED`) and the we | WEIGHTED's member weights -docs/semantics.md | weights | - **Highest averages `H(x, w)`.** `x` units over members wit | the weights of highest averages (members or entries) -docs/semantics.md | weights | - **Program.** A `ForwardingProgram`: the routes and integer | a program entry's integer weight (its share among its head's entries) -docs/semantics.md | weights | - **The tie rule never supplies weights** (`ShortestPaths` ` | WEIGHTED's member weights -docs/semantics.md | weights | - **`Pinned`** forwards its program as given, computing noth | a program entry's integer weight (its share among its head's entries) -docs/semantics.md | weights | - **`WEIGHTED`** splits at every node by highest averages ov | WEIGHTED's member weights -docs/semantics.md | weights | 6. the weights: `weight_basis requires allocation=WEIGHTED`; | WEIGHTED's member weights -docs/semantics.md | weights | and attribution, in one split context. `allocation` is `EQUA | WEIGHTED's member weights -docs/semantics.md | weights | ignoring capacity and weights; an empty roster is allowed (a | WEIGHTED's member weights -docs/semantics.md | weights | robin (**equal sources**) or by highest averages over the ca | the captured source weights of a program's injection -docs/semantics.md | weights | the demand. Equal positive weights give exactly round robin: | the weights of highest averages (members or entries) -docs/semantics.md | weights | the interior split of the `PredecessorDAG` routes, `EQUAL` ( | WEIGHTED's member weights -docs/semantics.md | weights | then splits its share by highest averages over its entries' | a program entry's integer weight (its share among its head's entries) -docs/semantics.md | weights | value does not expose per-router effective weights, the spli | WEIGHTED's member weights -docs/semantics.md | weights | route allocation | a table column: the weight options of the models -evaluate_edge_failures | placed | (NGRAPH_CORE_SENSITIVITY_THREADS). Only ShortestPaths reads | traffic placed (delivered) on a ledger -include/netgraph/core/detail/min_cost_flow.hpp | own_i | The solve on an edge subset (the Optimized kernel's replacem | a math symbol of the comment's formula -include/netgraph/core/detail/min_cost_flow.hpp | placed | reroute flow already placed, so the pairs are not the costs | traffic placed (delivered) on a ledger -include/netgraph/core/detail/min_cost_flow.hpp | sensitivity | Optimized uses an edge subset; exact sensitivity repairs a s | sensitivity analysis, or the env var NGRAPH_CORE_SENSITIVITY_THREADS -include/netgraph/core/detail/policy_engine.hpp | sensitivity | CentralizedTE: a capture request for the next solve's final | sensitivity analysis, or the env var NGRAPH_CORE_SENSITIVITY_THREADS -include/netgraph/core/detail/search_detail.hpp | priority | Any source of per-edge priority values (a search's PriorityV | a score's priority order, or a priority queue -include/netgraph/core/detail/tunnel_setup.hpp | volume | T1's setup for the design volume D (< 2^62) over the roster' | the design volume D of the tunnel models -include/netgraph/core/evaluators.hpp | selection | T1 sets up again for the same design under each deletion, T2 | T2's count selection (the count chosen up to L) -include/netgraph/core/flow_ledger.hpp | placed | A ledger tracks the flows placed on one graph in two project | traffic placed (delivered) on a ledger -include/netgraph/core/flow_policy.hpp | count | The tunnel count of the tunnel models, per head: `per_head` | the tunnel count (tunnels per head) -include/netgraph/core/flow_policy.hpp | count | chosen count), design_demand (nullopt: unlimited), design_by | the tunnel count (tunnels per head) -include/netgraph/core/flow_policy.hpp | count | or an evaluator uses it); `up_to` (T2 only; T1 rejects it): | the tunnel count (tunnels per head) -include/netgraph/core/flow_policy.hpp | drops | call_edge_drops (this call's drops per edge, ascending EdgeI | losses on links or at a source -include/netgraph/core/flow_policy.hpp | edge_weights | (Capacity). edge_weights (one integer per edge in [0, 2^62), | ShortestPaths.edge_weights, where the field now lives -include/netgraph/core/flow_policy.hpp | placed | minimum total cost of the flow by `cost` per unit (more deli | traffic placed (delivered) on a ledger -include/netgraph/core/flow_policy.hpp | volume | controller. A design volume D is split RR(D, H, h) over the | the design volume D of the tunnel models -include/netgraph/core/flow_policy.hpp | weights | allocation | a table column: the weight options of the models -include/netgraph/core/flow_record.hpp | drops | cumulative amount submitted to this flow before any drops. ` | losses on links or at a source -include/netgraph/core/flow_record.hpp | entry | (T1, T2 and Pinned: one record per entry, the entry identifi | an entry of a program, an array or a CSR list -include/netgraph/core/flow_record.hpp | entry | that route, or kUnreachable if none exists. `entry_id` is th | an entry of a program, an array or a CSR list -include/netgraph/core/forwarding_program.hpp | allocated | One shared hop-by-hop program on a supplied DAG of `graph`: | allocated memory, storage or amounts -include/netgraph/core/forwarding_program.hpp | planned | planned_bandwidth: T2's planned bandwidth u (metadata, | T2's planned bandwidth -include/netgraph/core/forwarding_program.hpp | weights | Equal (absent) or Weighted, whose weights come from `weight_ | WEIGHTED's member weights -include/netgraph/core/forwarding_program.hpp | weights | applies only to PredecessorDAG routes`); allocation Optimize | WEIGHTED's member weights -include/netgraph/core/forwarding_program.hpp | weights | share by highest averages over its entries' weights. Identic | a program entry's integer weight (its share among its head's entries) -include/netgraph/core/forwarding_program.hpp | weights | the weights' combination; edge_weights' and residual's lengt | WEIGHTED's member weights -include/netgraph/core/forwarding_program.hpp | weights | tunnel included) or captured source weights (source_weights( | the captured source weights of a program's injection -include/netgraph/core/graph.hpp | cost | (source, cost, destination, input). Node u's out-edges are | an edge's or a path's cost (Path.cost is the current name) -include/netgraph/core/graph.hpp | cost | Construction uses N nodes, E edges and K distinct costs. A c | an edge's or a path's cost (Path.cost is the current name) -include/netgraph/core/graph.hpp | cost | Maximum edge cost and greatest common divisor of all edge co | an edge's or a path's cost (Path.cost is the current name) -include/netgraph/core/graph.hpp | cost | Reverse CSR lists v's in-edges in (cost, source, input) orde | an edge's or a path's cost (Path.cost is the current name) -include/netgraph/core/graph.hpp | cost | [0, num_nodes), then the capacity and cost sums below 2^62, | an edge's or a path's cost (Path.cost is the current name) -include/netgraph/core/graph.hpp | cost | [outgoing_offsets()[u], outgoing_offsets()[u + 1]), ordered | an edge's or a path's cost (Path.cost is the current name) -include/netgraph/core/graph.hpp | cost | allocation. The source retains its resolution, has uid, node | an edge's or a path's cost (Path.cost is the current name) -include/netgraph/core/graph.hpp | cost | cost GCD zero, exposes empty edge arrays, and exposes one ze | an edge's or a path's cost (Path.cost is the current name) -include/netgraph/core/graph.hpp | cost | costs and 8E + 8 x 65,536 examined slots; otherwise sort all | an edge's or a path's cost (Path.cost is the current name) -include/netgraph/core/graph.hpp | cost | destination, cost rank, source give EdgeId order; cost rank, | an edge's or a path's cost (Path.cost is the current name) -include/netgraph/core/graph.hpp | cost | or negative costs (costs are positive); the remaining bounds | an edge's or a path's cost (Path.cost is the current name) -include/netgraph/core/graph.hpp | cost | reaches 2^62 reports that sum, the capacity sum before the c | an edge's or a path's cost (Path.cost is the current name) -include/netgraph/core/graph.hpp | cost | the sorted distinct costs. Stable counting passes group by e | an edge's or a path's cost (Path.cost is the current name) -include/netgraph/core/graph.hpp | cost | zero-filled offset arrays are needed. Rank costs through a h | an edge's or a path's cost (Path.cost is the current name) -include/netgraph/core/options.hpp | g | g divides the denominator (< 2^63), so g < 2^63 and the quot | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) -include/netgraph/core/route_structures.hpp | Route | Route structures: the immutable predecessor DAG and the expl | a route or routes (a heading such as 'Route structures' or 'Routes') -include/netgraph/core/route_structures.hpp | Route | means the same graph and CSR. Route APIs take PredecessorDAG | a route or routes (a heading such as 'Route structures' or 'Routes') -include/netgraph/core/route_structures.hpp | offsets | with at least one entry, ascending, and their offsets), neve | CSR offsets -include/netgraph/core/route_structures.hpp | via | (parent, child), no duplicate (child, via edge), acyclic; wi | the via edge of a DAG entry -include/netgraph/core/route_structures.hpp | via | Entries per node have strictly ascending via EdgeId, giving | the via edge of a DAG entry -include/netgraph/core/route_structures.hpp | via | ascending via EdgeId. | the via edge of a DAG entry -include/netgraph/core/route_structures.hpp | via | len(parents) == len(via_edges); then every parent and via ed | the via edge of a DAG entry -netgraph_core | Route | - Route choice and placement settings: ``RouteTieBreak``, `` | a route or routes (a heading such as 'Route structures' or 'Routes') -netgraph_core | Route | - Route structures: ``PredecessorDAG``, ``Path``. | a route or routes (a heading such as 'Route structures' or 'Routes') -netgraph_core | placed | - The ledger of placed traffic: ``FlowLedger`` and its ``Flo | traffic placed (delivered) on a ledger -src/centralized_te_tunnels.cpp | Route | Routes at u: count vectors x with x[e] <= b[e] = min(K, floo | a route or routes (a heading such as 'Route structures' or 'Routes') -src/distributed_te.cpp | volume | The design volume D is split RR(D, H, i) over the heads and | the design volume D of the tunnel models -src/evaluators.cpp | placed | reaches an allowed destination (nothing is placed). | traffic placed (delivered) on a ledger -src/evaluators.cpp | priority | reachable from it, then selected on the priority values of t | a score's priority order, or a priority queue -src/evaluators.cpp | sensitivity | ShortestPaths sensitivity: the edges of the full static supp | sensitivity analysis, or the env var NGRAPH_CORE_SENSITIVITY_THREADS -src/flow_policy.cpp | volume | The design volume of a tunnel model's call: the explicit des | the design volume D of the tunnel models -src/forwarding_program.cpp | Route | Routes: the ordered heads, each entry's kind and route (a tu | a route or routes (a heading such as 'Route structures' or 'Routes') -src/forwarding_program.cpp | placed | A stable counting sort by slot: counted at slot + 2, summed, | array entries placed by the stable counting sort -src/min_cost_flow.cpp | f_e | Delete e = (u, v), with flow f_e > 0, from a copy and run th | a math symbol of the comment's formula -src/min_cost_flow.cpp | f_e | origin and target and that all-vertex update before Dinic ph | a math symbol of the comment's formula -src/min_cost_flow.cpp | f_e | u to v; call the amount moved m. If r = f_e - m > 0, move r | a math symbol of the comment's formula -src/min_cost_flow.cpp | origin | One fixed-origin repair of the deletion re-solve: tiers from | repair()'s parameter `origin`, or a repair's fixed origin -src/min_cost_flow.cpp | origin | last search (from the same origin, nothing changed since). R | repair()'s parameter `origin`, or a repair's fixed origin -src/min_cost_flow.cpp | origin | origin and target and that all-vertex update before Dinic ph | repair()'s parameter `origin`, or a repair's fixed origin -src/min_cost_flow.cpp | priority | Monotone priority queue for Dijkstra on non-negative integer | a score's priority order, or a priority queue -src/route_kernels.cpp | d_i | w_i / d_i > w_j / d_j, ties by the lower index: the next uni | a math symbol of the comment's formula -src/route_kernels.cpp | d_i | w_i/d_i and w_j/d_j through w_i*d_j and w_j*d_i (operands < | a math symbol of the comment's formula -src/route_kernels.cpp | d_j | w_i / d_i > w_j / d_j, ties by the lower index: the next uni | a math symbol of the comment's formula -src/route_kernels.cpp | d_j | w_i/d_i and w_j/d_j through w_i*d_j and w_j*d_i (operands < | a math symbol of the comment's formula -src/route_kernels.cpp | w_i | w_i / d_i > w_j / d_j, ties by the lower index: the next uni | a math symbol of the comment's formula -src/route_kernels.cpp | w_i | w_i/d_i and w_j/d_j through w_i*d_j and w_j*d_i (operands < | a math symbol of the comment's formula -src/route_kernels.cpp | w_j | w_i / d_i > w_j / d_j, ties by the lower index: the next uni | a math symbol of the comment's formula -src/route_kernels.cpp | w_j | w_i/d_i and w_j/d_j through w_i*d_j and w_j*d_i (operands < | a math symbol of the comment's formula -src/search.cpp | priority | (its bottleneck), capped by `cap` for a KSP prefix; call thi | the member `priority` (a PriorityReader) and its values -src/search.cpp | priority | the minimum priority along the walk (prio given) | the member `priority` (a PriorityReader) and its values -src/search.cpp | selection | transitions (Expand: the banned edges; Collapse: every edge | the KSP spur's parallel-member choice -tests/cpp/centralized_te_tunnels_tests.cpp | selection | Up to N: the unpruned selection over the EXACT(k) programs a | T2's count selection (the count chosen up to L) -tests/cpp/centralized_te_tunnels_tests.cpp | selection | sizing, the objectives and the canonical tie, count selectio | T2's count selection (the count chosen up to L) -tests/cpp/centralized_te_tunnels_tests.cpp | selection | the remainder bound 0 <= F - K U < K; "up to" against an unp | T2's count selection (the count chosen up to L) -tests/cpp/contract_examples_tests.cpp | Route | Routes over abstract links: each abstract link e of capacity | a route or routes (a heading such as 'Route structures' or 'Routes') -tests/cpp/contract_examples_tests.cpp | placed | zero call placed first: a zero offer skips no validation). | traffic placed (delivered) on a ledger -tests/cpp/contract_examples_tests.cpp | selection | With a dead head the count-selection scores (its supply budg | T2's count selection (the count chosen up to L) -tests/cpp/distributed_te_tests.cpp | Stretch | A-X8-Stretch-exact: c0 = 5 and the factor exactly 6/5, so th | the worked example ids A-X8-Stretch-* (labels of the examples) -tests/cpp/distributed_te_tests.cpp | Stretch | equality; A-X8-Stretch-cost7: at cost 7 it exceeds the ceili | the worked example ids A-X8-Stretch-* (labels of the examples) -tests/cpp/distributed_te_tests.cpp | g | PVIEW (e0 cap 10, e1 cap 8) with FlowLedger(g, reservation_b | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) -tests/cpp/distributed_te_tests.cpp | priority | Holds do not police and have no priority. ONE10: a ShortestP | a score's priority order, or a priority queue -tests/cpp/fault_injection.hpp | g | fresh ledger of g (third parties, the policy and its earlier | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) -tests/cpp/flow_ledger_fault_tests.cpp | allocated | not vacuous: the new baseline is allocated | allocated memory, storage or amounts -tests/cpp/flow_policy_fault_tests.cpp | g | The static Eligibility of g without the edge at input positi | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) -tests/cpp/flow_policy_fault_tests.cpp | placed | The full-offer calls on a policy that has placed (its progra | traffic placed (delivered) on a ledger -tests/cpp/flow_policy_fault_tests.cpp | placed | hit), no placed deletion, and the call succeeds; its failure | traffic placed (delivered) on a ledger -tests/cpp/flow_policy_fault_tests.cpp | selection | selection and objectives redone under every deletion) under | T2's count selection -tests/cpp/flow_policy_tests.cpp | placed | existing routes), whether or not something was placed before | traffic placed (delivered) on a ledger -tests/cpp/flow_policy_tests.cpp | placed | placed: each placed deletion looks up its own fresh Eligibil | traffic placed (delivered) on a ledger -tests/cpp/flow_policy_tests.cpp | volume | The cumulative curve, by the flow certificates' clauses: pos | a curve entry's volume (its amount) -tests/cpp/graph_fault_tests.cpp | allocated | Every allocation of make() fails once: nothing is built and | allocated memory, storage or amounts -tests/cpp/graph_fault_tests.cpp | allocated | With edges every retained array is allocated, so the graph's | allocated memory, storage or amounts -tests/cpp/graph_reference.hpp | Origin | Origin: the earlier src/graph.cpp, identified by its sha256 | the historical earlier constructor this reference reproduces, in its own names -tests/cpp/graph_reference.hpp | capacity_units | capacity_units, cost, resolution) at lines 91-222 and resolu | the historical earlier constructor this reference reproduces, in its own names -tests/cpp/graph_reference.hpp | dst | 6763dcda7a5e7acf4be0195bf896ab68, the function Graph::Graph( | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) -tests/cpp/graph_reference.hpp | dst | Ids: rank in (src, cost, dst, input). | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) -tests/cpp/graph_reference.hpp | edge_src | stored copy): edge_src[in_adj_edge_index[slot]]. | the historical earlier constructor this reference reproduces, in its own names -tests/cpp/graph_reference.hpp | in_adj_edge_index | stored copy): edge_src[in_adj_edge_index[slot]]. | the historical earlier constructor this reference reproduces, in its own names -tests/cpp/graph_reference.hpp | origin | Origin: the earlier src/graph.cpp, identified by its sha256 | the historical earlier constructor this reference reproduces, in its own names -tests/cpp/graph_reference.hpp | src | 6763dcda7a5e7acf4be0195bf896ab68, the function Graph::Graph( | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) -tests/cpp/graph_reference.hpp | src | Ids: rank in (src, cost, dst, input). | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) -tests/cpp/graph_reference.hpp | src | Reverse CSR in (cost, src, input) order. | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) -tests/cpp/min_cost_flow_deletion_fault_tests.cpp | allocated | A failed copy or resolver construction leaves nothing constr | allocated memory, storage or amounts -tests/cpp/min_cost_flow_deletion_fault_tests.cpp | allocated | The same solve without a capture, its view allocated alike: | allocated memory, storage or amounts -tests/cpp/min_cost_flow_tests.cpp | allocated | allocated. | allocated memory, storage or amounts -tests/cpp/min_cost_flow_tests.cpp | placed | placed outside [0, cap]: above the cap, and negative without | the certificate clause 'placed outside [0, cap]' (test_utils.hpp) -tests/cpp/min_cost_flow_tests.cpp | placed | two clauses that prove it fail and nothing else does (the cu | traffic placed (delivered) on a ledger -tests/cpp/min_cost_flow_tests.cpp | volume | The curve-shape clauses, each the only failure in both branc | a curve entry's volume (its amount) -tests/cpp/program_tests.cpp | dst | Every path from a head to dst (ids of g; destinations are te | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) -tests/cpp/program_tests.cpp | g | Every path from a head to dst (ids of g; destinations are te | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) -tests/cpp/route_kernels_tests.cpp | a_i | Boundary property: every selected quotient w_i / a_i outrank | a math symbol of the comment's formula -tests/cpp/route_kernels_tests.cpp | a_j | w_j / (a_j + 1) (ties by the lower index). | a math symbol of the comment's formula -tests/cpp/route_kernels_tests.cpp | placed | so all 6 are placed. | traffic placed (delivered) on a ledger -tests/cpp/route_kernels_tests.cpp | src | independent of the library: `total` enters at node `src`; no | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) -tests/cpp/route_kernels_tests.cpp | src | on some walk from src to the destination set that leaves no | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) -tests/cpp/route_kernels_tests.cpp | src | residual, the offer enters at `src` (+inf: each arc out of ` | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) -tests/cpp/route_kernels_tests.cpp | src | terminal), ascending; forward from src and backward from the | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) -tests/cpp/route_kernels_tests.cpp | w_i | Boundary property: every selected quotient w_i / a_i outrank | a math symbol of the comment's formula -tests/cpp/route_kernels_tests.cpp | w_j | w_j / (a_j + 1) (ties by the lower index). | a math symbol of the comment's formula -tests/cpp/search_reference.hpp | priority | A walk's bottleneck: its lowest priority value (cmp order). | a score's priority order, or a priority queue -tests/cpp/search_reference.hpp | priority | An exact priority: residual / capacity as a rational, or an | a score's priority order, or a priority queue -tests/cpp/search_tests.cpp | priority | cost-2 prefix 0->1->2 with bottleneck 10, then a cost-1 edge | a score's priority order, or a priority queue -tests/cpp/search_tests.cpp | src | in walk order from src. | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) -tests/cpp/search_tests.cpp | src | static search from src (no residual: HIGHER_AVAILABLE_CAPACI | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) -tests/cpp/shortest_path_cache_tests.cpp | placed | placed amount and every output (on this symmetric fabric the | traffic placed (delivered) on a ledger -tests/cpp/shortest_paths_creation_tests.cpp | priority | residual priority views, in Search.InternalEntriesMatchThePu | a score's priority order, or a priority queue -tests/cpp/test_utils.hpp | elig | The sorted, distinct nodes of `set` that `elig` allows (all | the local or parameter `elig` of this file's code (a shorthand kept as an ordinary local) -tests/cpp/test_utils.hpp | g | Every EdgeId of g, ascending. | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) -tests/cpp/test_utils.hpp | g | The DAG of every edge of g. | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) -tests/cpp/test_utils.hpp | src | Every simple path from `src` that ends at the first destinat | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) -tests/cpp/test_utils.hpp | volume | backward segment (a payload entry of volume 0 or less, which | a curve entry's volume (its amount) -tests/cpp/test_utils.hpp | volume | curve's total equals the delivered value and its moment (the | a curve entry's volume (its amount) -tests/cpp/test_utils.hpp | volume | route_kernels_tests.cpp and the CentralizedTE policy's cumul | a curve entry's volume (its amount) -tests/cpp/zero_capacity_tests.cpp | g | One placement on a fresh ledger of g. | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) -tests/cpp/zero_capacity_tests.cpp | g | T1 with N tunnels per head: one replace(offer, design) on a | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) -tests/py/test_centralized_te_tunnels.py | dst | id: (rows, heads, dst, L, D, chosen count, routes, lossless | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) -tests/py/test_centralized_te_tunnels.py | dst | id: (rows, heads, dst, N, D, free capacity or None, prefer_h | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) -tests/py/test_centralized_te_tunnels.py | selection | count selection, operations, programs and replays, records, | T2's count selection (the count chosen up to L) -tests/py/test_configuration.py | placed | The policy is built, and a zero call placed, only when the m | traffic placed (delivered) on a ledger -tests/py/test_contract_examples.py | Route | Routes of link indices carrying their offers. Each demand of | a route or routes (a heading such as 'Route structures' or 'Routes') -tests/py/test_distributed_te.py | Stretch | A-X8-Stretch-cost7: a cost-7 path exceeds the ceiling. | the worked example ids A-X8-Stretch-* (labels of the examples) -tests/py/test_distributed_te.py | Stretch | A-X8-Stretch-exact / -cost7: links of costs 5 (capacity 0) a | the worked example ids A-X8-Stretch-* (labels of the examples) -tests/py/test_distributed_te.py | Stretch | A-X8-Stretch-exact: 1.2 is exactly 6/5, so c0 = 5 admits the | the worked example ids A-X8-Stretch-* (labels of the examples) -tests/py/test_distributed_te.py | dst | id: (rows, heads, dst, D, N, routing keywords, requests, rou | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) -tests/py/test_edge_amounts.py | placed | left is not used: its head stays unreached), the number of p | traffic placed (delivered) on a ledger -tests/py/test_min_cost_flow.py | placed | Underfill: placed 1 is certified for cap 1 and an early stop | the private solver's placed amount (its flow value), as the certificate clauses name it -tests/py/test_min_cost_flow.py | placed | a lowered placed (which also breaks the value and the curve | the private solver's placed amount (its flow value), as the certificate clauses name it -tests/py/test_min_cost_flow.py | placed | placed outside [0, cap]: above the cap, and negative without | the private solver's placed amount (its flow value), as the certificate clauses name it -tests/py/test_min_cost_flow.py | volume | Every cost times a factor: the curve's costs and the potenti | a curve entry's volume (its amount) -tests/py/test_min_cost_flow.py | volume | The curve-shape clauses, each the only failure: an entry of | a curve entry's volume (its amount) -tests/py/test_native_allocation.py | allocated | negative native live balance: it frees the old baseline and | allocated memory, storage or amounts -tests/py/test_native_allocation.py | allocated | raises MemoryError, never aborts, leaves nothing it allocate | allocated memory, storage or amounts -tests/py/test_native_allocation.py | g | A model's program on g (a CentralizedTE optimized one by def | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) -tests/py/test_native_allocation.py | g | configuration is cfg_of(g), after a `prepare(2)` in the same | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) -tests/py/test_native_allocation.py | g | make_owner(g) builds the object that holds it, read(owner) r | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) -tests/py/test_native_allocation.py | g | reference: call(m, g) gives the call of the m-th make() (m = | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) -tests/py/test_programs.py | bundle | Pinned takes a program: no bundles keyword, a list is not a | the retired `bundles` keyword the test checks Pinned refuses -tests/py/test_programs.py | dst | Every path (EdgeIds) from src to dst over the DAG rows. | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) -tests/py/test_programs.py | src | Every path (EdgeIds) from src to dst over the DAG rows. | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) -tests/py/test_public_surface.py | bundle | FlowPolicy's usable-bundle count and Pinned's bundle list (P | the comment of the retired-members list, naming the members the test checks are gone -tests/py/test_removed_names.py | allocated | (`record-bundle`), also after a dot (`ledger.allocated()`; a | the rule's own text, naming removed words as its examples -tests/py/test_removed_names.py | allocated | than 16 times across the texts), with the meaning they keep. | the rule's own text, naming removed words as its examples -tests/py/test_removed_names.py | bundle | (`record-bundle`), also after a dot (`ledger.allocated()`; a | the rule's own text, naming removed words as its examples -tests/py/test_removed_names.py | bundle | one-letter name after a letter and a dot: "e.g."), beside a | the rule's own text, naming removed words as its examples -tests/py/test_removed_names.py | capacity_units | (`edge_capacity_units` holds `capacity_units`). Its reviewed | the rule's own text, naming removed words as its examples -tests/py/test_removed_names.py | dst | (`src/dst`). Every remaining use is one row of removed_names | the rule's own text, naming removed words as its examples -tests/py/test_removed_names.py | dst | line before its words are read, so "src/flow_policy.cpp" nam | the rule's own text, naming removed words as its examples -tests/py/test_removed_names.py | placed | A word is the name or its plural, capitalized too (a sentenc | the rule's own text, naming removed words as its examples -tests/py/test_removed_names.py | placed | than 16 times across the texts), with the meaning they keep. | the rule's own text, naming removed words as its examples -tests/py/test_removed_names.py | src | (`src/dst`). Every remaining use is one row of removed_names | the rule's own text, naming removed words as its examples -tests/py/test_removed_names.py | src | line before its words are read, so "src/flow_policy.cpp" nam | the rule's own text, naming removed words as its examples -tests/py/test_removed_names.py | volume | volume, ...) is not listed: like any removed name it is stal | the rule's own text, naming removed words as its examples -tests/py/test_shortest_path_cache.py | placed | and no placed deletion. | traffic placed (delivered) on a ledger -tests/py/test_source_allocation.py | dst | Pinned over a program of one split route (the edges' DAG) fr | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) -tests/py/test_source_allocation.py | src | Pinned over a program of one split route (the edges' DAG) fr | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) -tests/py/tunnel_oracle.py | src | Every simple path (EdgeIds in walk order) from src that ends | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) -CMakeLists.txt | g | as the TSan documentation advises (the Debug build type adds | the compiler flag -g -CONTRIBUTING.md | origin | git push origin vX.Y.Z | the git remote origin -TunnelCount | count | 1..per_head for every head: the smallest common count whose | the tunnel count (tunnels per head) -TunnelCount | count | design shares; if none does, the largest live-share score, t | the tunnel count (tunnels per head) -TunnelCount.up_to | count | True: the smallest count up to per_head whose program carrie | the tunnel count (tunnels per head) -bindings/python/flow_policy.cpp | placed_demand | placed_demand | a key of the frozen reference's trace format (the fixtures' keys) -bindings/python/flow_policy.cpp | src | src | a key of the frozen reference's trace format (the fixtures' keys) -code:tests/py/test_programs.py | bundles | bundles | a retired name named on purpose: the test checks it is gone or rejected -code:tests/py/test_source_allocation.py | bundles | bundles | a retired name named on purpose: the test checks it is gone or rejected -dev/perf/README.md | allocated | its iteration count: allocated and written before the row's | allocated memory, storage or amounts -dev/perf/README.md | placement | | `kernel` | `kernel.{proportional,eb,lossy}.clos`, `kernel. | placing traffic -dev/perf/README.md | selection | groups it did not, and per group the rows the whole selectio | the timing tool's row selection (--rows) -dev/perf/README.md | selection | memory rule's boundary, the bootstrap interval, the cluster | the timing tool's row selection (--rows) -dev/perf/README.md | selection | the side, mode and row when it comes from a block. A refusal | the timing tool's row selection (--rows) -dev/perf/README.md | sensitivity | exact-model sensitivity; policy-model loss for every eligible edge | timing group and ordinary description of the current edge-failure analysis -dev/perf/README.md | sensitivity | sens.exact.{cut,partial,branch,reroute,capped} | timing group and ordinary description of the current edge-failure analysis -dev/perf/README.md | src | `OUT_DIR/src`, so a second attempt needs another or an empti | a directory or a sort key named src, or a path component -dev/perf/README.md | src | `OUT_DIR/src`. `REV` is required (there is no default refere | a directory or a sort key named src, or a path component -dev/perf/README.md | tunnels | | `t1` | `t1.setup.fabric`, `t1.forward.fabric` | T1 with 16 | a model's tunnels (ForwardingProgram.tunnels is the current name) -dev/perf/README.md | tunnels | | `t2` | `t2.exact16.headroom`, `t2.exact16.cost`, `t2.upto2 | a model's tunnels (ForwardingProgram.tunnels is the current name) -dev/perf/aba.py | selection | * rows the selection did not select, by group: | the timing tool's row selection (--rows) -dev/perf/aba.py | selection | Selection (`--rows | the timing tool's row selection (--rows) -dev/perf/aba.py | selection | selection | the timing tool's row selection (--rows) -dev/perf/aba_rows.hpp | dst | construction, construct.random65k's topology and costs sorte | a directory or a sort key named src, or a path component -dev/perf/aba_rows.hpp | elig | elig.build_intersect | a timing row's frozen name (the tool keeps row names) -dev/perf/aba_rows.hpp | max_cost | ,\"max_cost\": | a key of the timing digest's JSON (kept, so digests of earlier builds compare) -dev/perf/aba_rows.hpp | selection | T2 CentralizedTE(tunnel_count=TunnelCount(256, up_to=True), | T2's count selection (the count chosen up to L) -dev/perf/aba_rows.hpp | sensitivity | exact-model sensitivity (candidates: the positive-flow edges | a timing row's frozen group or description (the tool keeps row names) -dev/perf/aba_rows.hpp | sensitivity | policy-model sensitivity over every eligible edge, ShortestP | a timing row's frozen group or description (the tool keeps row names) -dev/perf/aba_rows.hpp | sensitivity | sensitivity | a timing row's frozen group or description (the tool keeps row names) -dev/perf/aba_rows.hpp | src | construction, construct.random65k's topology and costs sorte | a directory or a sort key named src, or a path component -dev/perf/build.sh | src | `git archive` into OUT_DIR/src. The driver (harness.cpp, aba | a directory or a sort key named src, or a path component -dev/perf/test_tool.py | g | g | a timing tool test's synthetic group name `g` -dev/perf/test_tool.py | g | list: row c: unknown key 'x': {"row": "c", "group": "g", "x" | a timing tool test's synthetic group name `g` -dev/perf/test_tool.py | max_cost | max_cost | a key of the timing digest's JSON (kept, so digests of earlier builds compare) -dev/perf/test_tool.py | selection | selection | the timing tool's row selection (--rows) -dev/perf/test_tool.py | src | /src/include | a directory or a sort key named src, or a path component -dev/perf/test_tool.py | src | src | a directory or a sort key named src, or a path component -dev/stubs/check_clients.py | g | ng.FlowLedger(g, service_baseline=np.zeros(1, dtype=np.float | a sample client's or stub's local name `g` in the stub tools' test input -dev/stubs/check_clients.py | g | ng.Path(g, np.zeros((1, 1), dtype=np.float64)) | a sample client's or stub's local name `g` in the stub tools' test input -dev/stubs/check_clients.py | g | ng.evaluate_demand(g, 0, 1, cfg) | a sample client's or stub's local name `g` in the stub tools' test input -dev/stubs/check_clients.py | g | ng.evaluate_pairs(g, float_pairs, | a sample client's or stub's local name `g` in the stub tools' test input -dev/stubs/check_clients.py | g | ng.spf(g, 0, ng.KspOptions(1)) | a sample client's or stub's local name `g` in the stub tools' test input -dev/stubs/check_clients.py | g | npt.NDArray[np.float64] = g.edge_capacity_units() | a sample client's or stub's local name `g` in the stub tools' test input -dev/stubs/check_clients.py | g | oops: str = g.num_edges() | a sample client's or stub's local name `g` in the stub tools' test input -dev/stubs/check_clients.py | g | text: str = g.edge_capacity_units().item(0) | a sample client's or stub's local name `g` in the stub tools' test input -dev/stubs/test_checks.py | g | if line == "oops: str = g.num_edges()": | a sample client's or stub's local name `g` in the stub tools' test input -dev/stubs/test_checks.py | src | src/__pycache__ | a directory or a sort key named src, or a path component -dev/stubs/test_checks.py | src | src/__pycache__/m.pyc | a directory or a sort key named src, or a path component -dev/stubs/test_generate.py | g | # generated: def g() -> None: | a sample client's or stub's local name `g` in the stub tools' test input -dev/stubs/test_generate.py | g | def g( | a sample client's or stub's local name `g` in the stub tools' test input -dev/stubs/test_generate.py | g | def g() -> None: | a sample client's or stub's local name `g` in the stub tools' test input -dev/stubs/test_generate.py | g | def g() -> None: ... | a sample client's or stub's local name `g` in the stub tools' test input -dev/stubs/test_generate.py | g | def g(*args: int) -> typing.Any: | a sample client's or stub's local name `g` in the stub tools' test input -dev/stubs/test_generate.py | g | def g(*args: int, **kwargs: str) -> int: | a sample client's or stub's local name `g` in the stub tools' test input -dev/stubs/test_generate.py | g | g | a sample client's or stub's local name `g` in the stub tools' test input -dev/stubs/test_generate.py | g | g(args) | a sample client's or stub's local name `g` in the stub tools' test input -dev/stubs/test_generate.py | g | g(kwargs) | a sample client's or stub's local name `g` in the stub tools' test input -dev/stubs/test_generate.py | g | g(x) | a sample client's or stub's local name `g` in the stub tools' test input -dev/stubs/test_generate.py | g | overrides without a generated declaration: ['g'] | a sample client's or stub's local name `g` in the stub tools' test input -dev/stubs/test_generate.py | g | typing.Any left in the stub (add a reviewed override): g -> | a sample client's or stub's local name `g` in the stub tools' test input -docs/semantics.md | Tunnels | - **Sizing.** Tunnels of a common size `s > 0` exist exactly | the word starting a sentence: actual tunnels -docs/semantics.md | Tunnels | request `RR(share, N, j)`: the tunnels of one head differ by | the word starting a sentence: actual tunnels -include/netgraph/core/flow_policy.hpp | count | live-share score, then the smallest count; no promise of who | the tunnel count (tunnels per head) -pyproject.toml | selection | scikit-build-core 1.0 introduced the "explicit" sdist file s | scikit-build-core's sdist file selection -src/centralized_te_tunnels.cpp | Tunnels | Sizing. Tunnels of a common size s > 0 exist exactly when K | the word starting a sentence: actual tunnels -src/flow_policy.cpp | cost_distribution | cost_distribution | a key of the frozen reference's trace format (the fixtures' keys) -src/flow_policy.cpp | placed | placed | a key of the frozen reference's trace and payload format (the fixtures' keys) -tests/cpp/flow_policy_fault_tests.cpp | sensitivity | frozen shortest_paths sensitivity | a test case label: sensitivity analysis (the evaluator's subject) -tests/cpp/flow_policy_fault_tests.cpp | sensitivity | frozen shortest_paths sensitivity miss | a test case label: sensitivity analysis (the evaluator's subject) -tests/cpp/flow_policy_fault_tests.cpp | sensitivity | frozen shortest_paths sensitivity miss, worker threads, workers | a test case label: sensitivity analysis (the evaluator's subject) -tests/cpp/flow_policy_fault_tests.cpp | sensitivity | frozen sensitivity | a test case label: sensitivity analysis (the evaluator's subject) -tests/cpp/flow_policy_fault_tests.cpp | sensitivity | sensitivity | a test case label: sensitivity analysis (the evaluator's subject) -tests/cpp/flow_policy_tests.cpp | sensitivity | sensitivity baseline with every output | a test case label: sensitivity analysis (the evaluator's subject) -tests/cpp/flow_policy_tests.cpp | sensitivity | sensitivity baseline, no output | a test case label: sensitivity analysis (the evaluator's subject) -tests/cpp/graph_layout_tests.cpp | dst | dst negative at 1 | the layout test input's field `dst` (a shorthand kept as an ordinary local) -tests/cpp/graph_layout_tests.cpp | dst | dst shorter | the layout test input's field `dst` (a shorthand kept as an ordinary local) -tests/cpp/graph_layout_tests.cpp | dst | input.dst | the layout test input's field `dst` (a shorthand kept as an ordinary local) -tests/cpp/graph_layout_tests.cpp | dst | property:dst | the layout test input's field `dst` (a shorthand kept as an ordinary local) -tests/cpp/graph_layout_tests.cpp | dst | range:dst | the layout test input's field `dst` (a shorthand kept as an ordinary local) -tests/cpp/graph_layout_tests.cpp | dst | size:dst | the layout test input's field `dst` (a shorthand kept as an ordinary local) -tests/cpp/graph_layout_tests.cpp | src | (src, cost) reverse order | the layout test input's field `src` (a shorthand kept as an ordinary local) -tests/cpp/graph_layout_tests.cpp | src | property:src | the layout test input's field `src` (a shorthand kept as an ordinary local) -tests/cpp/graph_layout_tests.cpp | src | range:src | the layout test input's field `src` (a shorthand kept as an ordinary local) -tests/cpp/graph_layout_tests.cpp | src | size:src | the layout test input's field `src` (a shorthand kept as an ordinary local) -tests/cpp/graph_layout_tests.cpp | src | src out of range at 2 | the layout test input's field `src` (a shorthand kept as an ordinary local) -tests/cpp/layout_checker.hpp | dst | dst | the layout test input's field `dst` (a shorthand kept as an ordinary local) -tests/cpp/layout_checker.hpp | dst | input.dst | the layout test input's field `dst` (a shorthand kept as an ordinary local) -tests/cpp/layout_checker.hpp | dst | property:dst | the layout test input's field `dst` (a shorthand kept as an ordinary local) -tests/cpp/layout_checker.hpp | dst | range:dst | the layout test input's field `dst` (a shorthand kept as an ordinary local) -tests/cpp/layout_checker.hpp | src | property:src | the layout test input's field `src` (a shorthand kept as an ordinary local) -tests/cpp/layout_checker.hpp | src | range:src | the layout test input's field `src` (a shorthand kept as an ordinary local) -tests/cpp/layout_checker.hpp | src | src | the layout test input's field `src` (a shorthand kept as an ordinary local) -tests/cpp/min_cost_flow_tests.cpp | placed | curve total differs from placed | the private solver's placed amount (its flow value), as the certificate clauses name it -tests/cpp/min_cost_flow_tests.cpp | placed | cut value differs from placed | the private solver's placed amount (its flow value), as the certificate clauses name it -tests/cpp/min_cost_flow_tests.cpp | placed | placed differs from min(cap, F_max) | the private solver's placed amount (its flow value), as the certificate clauses name it -tests/cpp/min_cost_flow_tests.cpp | placed | placed outside [0, cap] | the private solver's placed amount (its flow value), as the certificate clauses name it -tests/cpp/min_cost_flow_tests.cpp | volume | curve volume not positive | a curve entry's volume (its amount) -tests/cpp/program_tests.cpp | Tunnels | Tunnels listed with indices 0 and 2 (the split route takes 1 | the word starting a sentence: actual tunnels -tests/cpp/search_tests.cpp | elig | elig | a test case label naming the test's local `elig` -tests/cpp/shortest_paths_creation_tests.cpp | src | src | the local or parameter `src` of this file's code (a shorthand kept as an ordinary local) -tests/cpp/test_utils.hpp | placed | curve total differs from placed | the private solver's placed amount (its flow value), as the certificate clauses name it -tests/cpp/test_utils.hpp | placed | cut value differs from placed | the private solver's placed amount (its flow value), as the certificate clauses name it -tests/cpp/test_utils.hpp | placed | placed differs from min(cap, F_max) | the private solver's placed amount (its flow value), as the certificate clauses name it -tests/cpp/test_utils.hpp | placed | placed outside [0, cap] | the private solver's placed amount (its flow value), as the certificate clauses name it -tests/cpp/test_utils.hpp | volume | curve volume not positive | a curve entry's volume (its amount) -tests/py/flow_oracle.py | placed | curve total differs from placed | the private solver's placed amount (its flow value), as the certificate clauses name it -tests/py/flow_oracle.py | placed | cut value differs from placed | the private solver's placed amount (its flow value), as the certificate clauses name it -tests/py/flow_oracle.py | placed | placed | a key of the frozen reference's trace and payload format (the fixtures' keys) -tests/py/flow_oracle.py | placed | placed outside [0, cap] | the private solver's placed amount (its flow value), as the certificate clauses name it -tests/py/flow_oracle.py | volume | curve volume not positive | a curve entry's volume (its amount) -tests/py/test_centralized_te_tunnels.py | g | g = ngc.Graph(4, [0, 0, 1, 2], [1, 2, 3, 3], [8192, 40960, 8 | the local `g` (a Graph) of a script run in a child interpreter -tests/py/test_centralized_te_tunnels.py | g | p = ngc.FlowPolicy(ngc.FlowLedger(g), 0, 3, cfg) | the local `g` (a Graph) of a script run in a child interpreter -tests/py/test_centralized_te_tunnels.py | origin | origin | the retired keyword passed on purpose: the test checks it is rejected -tests/py/test_configuration.py | selection | selection | the retired keyword passed on purpose: the test checks it is rejected -tests/py/test_contract_examples.py | Stretch | A-X8-Stretch-cost7 | the worked example ids A-X8-Stretch-* (labels of the examples) -tests/py/test_contract_examples.py | Stretch | A-X8-Stretch-exact | the worked example ids A-X8-Stretch-* (labels of the examples) -tests/py/test_contract_examples.py | Tunnels | Tunnels from their heads (one program; each head its own sou | the word starting a sentence: actual tunnels -tests/py/test_contract_examples.py | selection | selection | the retired keyword passed on purpose: the test checks it is rejected -tests/py/test_distributed_te.py | g | fg = ngc.FlowLedger(g) | the local `g` (a Graph) of a script run in a child interpreter -tests/py/test_distributed_te.py | g | g = ngc.Graph(3, [0, 1], [2, 2], [2, 10], [1, 1], 1.0) | the local `g` (a Graph) of a script run in a child interpreter -tests/py/test_distributed_te.py | origin | origin | the retired keyword passed on purpose: the test checks it is rejected -tests/py/test_flow_policy.py | bundle | bundles | a retired name named on purpose: the test checks it is gone or rejected -tests/py/test_flow_policy.py | bundles | bundles | a retired name named on purpose: the test checks it is gone or rejected -tests/py/test_flow_policy.py | local_outcomes | local_outcomes | a retired name named on purpose: the test checks it is gone or rejected -tests/py/test_flow_policy.py | origin | origin | the retired keyword passed on purpose: the test checks it is rejected -tests/py/test_flow_policy.py | selection | selection | the retired keyword passed on purpose: the test checks it is rejected -tests/py/test_min_cost_flow.py | placed | curve total differs from placed | the private solver's placed amount (its flow value), as the certificate clauses name it -tests/py/test_min_cost_flow.py | placed | cut value differs from placed | the private solver's placed amount (its flow value), as the certificate clauses name it -tests/py/test_min_cost_flow.py | placed | placed 1 != min(cap, F_max) | the private solver's placed amount (its flow value), as the certificate clauses name it -tests/py/test_min_cost_flow.py | placed | placed outside [0, cap] | the private solver's placed amount (its flow value), as the certificate clauses name it -tests/py/test_min_cost_flow.py | volume | curve volume not positive | a curve entry's volume (its amount) -tests/py/test_native_allocation.py | sensitivity | sensitivity.global | a test id (dev/pytest_guard.py names it) -tests/py/test_native_allocation.py | sensitivity | sensitivity.pinned | a test id (dev/pytest_guard.py names it) -tests/py/test_programs.py | bundles | Pinned takes a program: no bundles keyword, a list is not a | a retired name named on purpose: the test checks it is gone or rejected -tests/py/test_programs.py | origin | origin | the retired keyword passed on purpose: the test checks it is rejected -tests/py/test_public_surface.py | CapacityOptions | CapacityOptions | a retired name named on purpose: the test checks it is gone or rejected -tests/py/test_public_surface.py | EdgePriority | EdgePriority | a retired name named on purpose: the test checks it is gone or rejected -tests/py/test_public_surface.py | EdgeTieBreak | EdgeTieBreak | a retired name named on purpose: the test checks it is gone or rejected -tests/py/test_public_surface.py | PathSelection | PathSelection | a retired name named on purpose: the test checks it is gone or rejected -tests/py/test_public_surface.py | SensitivityOptions | SensitivityOptions | a retired name named on purpose: the test checks it is gone or rejected -tests/py/test_public_surface.py | Stretch | Stretch-factor-bool | a test id naming the retired Stretch on purpose (CostStretch is checked) -tests/py/test_public_surface.py | Stretch | Stretch-factor-str | a test id naming the retired Stretch on purpose (CostStretch is checked) -tests/py/test_public_surface.py | bundle | bundles | a retired name named on purpose: the test checks it is gone or rejected -tests/py/test_public_surface.py | bundles | bundles | a retired name named on purpose: the test checks it is gone or rejected -tests/py/test_public_surface.py | local_outcomes | local_outcomes | a retired name named on purpose: the test checks it is gone or rejected -tests/py/test_public_surface.py | origin | origin | the retired keyword passed on purpose: the test checks it is rejected -tests/py/test_public_surface.py | selection | selection | the retired keyword passed on purpose: the test checks it is rejected -tests/py/test_public_surface.py | sensitivity | sensitivity-graph-None | a test id naming the retired function on purpose -tests/py/test_public_surface.py | usable_bundles | usable_bundles | a retired name named on purpose: the test checks it is gone or rejected -tests/py/test_removed_names.py | dst | dst | the rule's own text, naming removed words as its examples -tests/py/test_removed_names.py | elig | elig | the rule's own text, naming removed words as its examples -tests/py/test_removed_names.py | g | g | the rule's own text, naming removed words as its examples -tests/py/test_removed_names.py | opts | opts | the rule's own text, naming removed words as its examples -tests/py/test_removed_names.py | src | src | the rule's own text, naming removed words as its examples -tests/py/test_route_structures.py | EdgePriority | EdgePriority | a retired name named on purpose: the test checks it is gone or rejected -tests/py/test_route_structures.py | EdgeTieBreak | EdgeTieBreak | a retired name named on purpose: the test checks it is gone or rejected -tests/py/test_route_structures.py | PathSelection | PathSelection | a retired name named on purpose: the test checks it is gone or rejected -tests/py/test_source_allocation.py | origin | origin | the retired keyword passed on purpose: the test checks it is rejected -tests/typing/invalid_client.py | g | read arr[i] as Any, so "text: str = g.edge_capacity_units()[ | a sample client's or stub's local name `g` in the stub tools' test input -tests/py/test_removed_names.py | FlowPlacement | FlowPlacement | the rule's own control: the name it plants in each kind of text -tests/py/test_removed_names.py | DagCacheStats | DagCacheStats | the rule's own control: the name it plants in each kind of text -tests/py/test_removed_names.py | Tunnels | Tunnels | the rule's own control: the name it plants in each kind of text -tests/py/test_removed_names.py | DagCacheStats | name it plants): each must be found on its own line. | the rule's own control: the name it plants in each kind of text -tests/py/test_removed_names.py | Tunnels | name it plants): each must be found on its own line. | the rule's own control: the name it plants in each kind of text -dev/pytest_guard.py | sensitivity | tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[sensitivity.global] | a test id (dev/pytest_guard.py names it) -dev/pytest_guard.py | sensitivity | tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[sensitivity.pinned] | a test id (dev/pytest_guard.py names it) -include/netgraph/core/detail/forwarding.hpp | allocated | before the network is allocated; | allocated memory, storage or amounts -include/netgraph/core/detail/forwarding.hpp | allocated | structures are allocated. Either refusal changes nothing. | allocated memory, storage or amounts -tests/cpp/program_tests.cpp | allocated | is allocated, the event and dependency counts before the event | allocated memory, storage or amounts -bindings/python/hooks.cpp | allocated | allocated). | allocated memory, storage or amounts -dev/perf/README.md | tunnels | the ring's 64 tunnels as 64 policies in one SIMULTANEOUS list | a model's tunnels (ForwardingProgram.tunnels is the current name) -src/forwarding.cpp | allocated | A pooled context's counts before anything of the network is allocated | allocated memory, storage or amounts -tests/cpp/apply_actions_fault_tests.cpp | allocated | epoch are as before the call, the aggregate is balanced, nothing is left allocated | allocated memory, storage or amounts -tests/cpp/apply_actions_fault_tests.cpp | allocated | of the call, a publication that allocated after the ledger's exchange | allocated memory, storage or amounts -tests/cpp/joint_forwarding_tests.cpp | dst | A ShortestPaths program of `sources` to `dst` | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) -tests/cpp/joint_forwarding_tests.cpp | dst | A random simple walk from h over inner nodes | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) -tests/cpp/joint_forwarding_tests.cpp | dst | One or two tunnels from a random head to dst | the local or parameter `dst` of this file's code (a shorthand kept as an ordinary local) -tests/cpp/joint_forwarding_tests.cpp | g | ledger of g. | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) -tests/cpp/program_tests.cpp | Tunnels | black holes on rows 2, 6 and 17. Tunnels 0 and 3 | a model's tunnels (ForwardingProgram.tunnels is the current name) -tests/py/test_apply_actions.py | g | alike). g: the first copy's graph | the local or parameter `g` of this file's code (a shorthand kept as an ordinary local) -tests/py/test_programs.py | Tunnels | on rows 2, 6 and 17. Tunnels 0 and 3 reach a black hole | a model's tunnels (ForwardingProgram.tunnels is the current name) -include/netgraph/core/flow_policy.hpp | weights | path), fixed for an epoch. With FewerHops or HigherCapacity and static weights the policy | immutable member weights of a ShortestPaths policy -ForwardingProgram | weights | captured weights ((source, weight) for every roster source, ascending): optimized controllers' solved | declared or captured integer weight values, not a retired configuration field -ForwardingProgram | weights | supplies, weighted CentralizedTE's declared weights, or None for equal sources (round robin). Each head splits its share by | declared or captured integer weight values, not a retired configuration field -include/netgraph/core/detail/int128.hpp | priority | quota numerator or priority cross-product is below 2^189. Three portable words | exact rational quotient ordering for integer apportionment, not a retired route option -include/netgraph/core/flow_policy.hpp | tunnels | Required exactly for Weighted, without tunnels: one immutable weight per graph node, | path tunnels of the model; the current configuration keyword is tunnel_count -include/netgraph/core/forwarding_program.hpp | weights | The captured source weights (roster source, weight) in ascending NodeId, every roster | declared or captured integer weight values, not a retired configuration field -include/netgraph/core/forwarding_program.hpp | weights | source listed, zeros included: solved supplies for Optimized, declared weights for | declared or captured integer weight values, not a retired configuration field -src/route_kernels.cpp | priority | One rule for both widths: only quota and priority arithmetic differ. The | exact rational quotient ordering for integer apportionment, not a retired route option -tests/cpp/weighted_source_tests.cpp | priority | One-unit-at-a-time priority oracle for small totals; test integer arithmetic | exact rational quotient ordering for integer apportionment, not a retired route option -include/netgraph/core/flow_policy.hpp | edge_weights | edge_weights' and source_weights' lengths and entries; then the tunnel limit; then a Pinned program's endpoints. | the current routing models' validated vectors, not a retired flat configuration field -docs/semantics.md | weights | shares (`SourceAllocation.EQUAL`), highest-averages shares of declared weights (`WEIGHTED`), | declared integer source proportions, not a retired configuration field -CentralizedTE | tunnels | heads and over each head's tunnels; planned bandwidth is nev | a model's tunnels (ForwardingProgram.tunnels is the current name) -CentralizedTE | tunnels | their share), N single-path tunnels with one common whole-un | a model's tunnels (ForwardingProgram.tunnels is the current name) -PlacementResult | drops | offer is then the demand's source drops and every row is zer | losses on links or at a source -docs/semantics.md | Residual | - **Residual.** The free capacity of an edge: in a ledger, i | the term 'Residual' (an edge's free capacity) -docs/semantics.md | Route | - **Route allocation.** How a demand's traffic is split at e | a route or routes (a heading such as 'Route structures' or 'Routes') -docs/semantics.md | Route | - **Routes.** At u, the count vectors `x` (the tunnels on ea | a route or routes (a heading such as 'Route structures' or 'Routes') -docs/semantics.md | cost | positive integer cost. Capacities are counted in whole **uni | an edge's or a path's cost (Path.cost is the current name) -docs/semantics.md | cost | | a `fractions.Fraction` | an edge's or a path's cost (Path.cost is the current name) -docs/semantics.md | count | - **Routes.** At u, the count vectors `x` (the tunnels on ea | a vector of per-link tunnel counts (the tunnels on each link) -docs/semantics.md | count | - **Routing model.** `ShortestPaths`, `DistributedTE` (T1), | the tunnel count (tunnels per head) -docs/semantics.md | count | Then `source_weights`: its length against the graph's node c | the verb 'to count' (a tally), not a tunnel count -docs/semantics.md | count | count); | the tunnel count (tunnels per head) -docs/semantics.md | count | design shares; if none does, the largest live-share score, t | the tunnel count (tunnels per head) -docs/semantics.md | count | gives every head one common count `k <= L`: the smallest who | the tunnel count (tunnels per head) -docs/semantics.md | drops | [section 5](#5-route-allocations-and-admission): each entry' | losses on links or at a source -docs/semantics.md | edge_weights | (`edge_weights[0] must be an integer (got bool)`); an entry | ShortestPaths.edge_weights, where the field now lives -docs/semantics.md | edge_weights | - An `edge_weights` that is not a 1-D sequence of integers ( | ShortestPaths.edge_weights, where the field now lives -docs/semantics.md | edge_weights | - `source_weights` is converted as `edge_weights` is, in thr | ShortestPaths.edge_weights, where the field now lives -docs/semantics.md | edge_weights | `ValueError('edge_weights[] must be an integer in [0, 2^6 | ShortestPaths.edge_weights, where the field now lives -docs/semantics.md | edges | - **EdgeId.** The public number of an edge: its rank when th | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) -docs/semantics.md | edges | - **Eligibility (a mask).** Which nodes and edges of a graph | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) -docs/semantics.md | edges | - **Minimum cut.** For the optimized controller: the edges t | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) -docs/semantics.md | edges | edges, whatever the capacities, in ascending node id; fixed | a graph's, a route's or a tunnel's edges (Tunnel.edges is the current name) -docs/semantics.md | entry | [section 5](#5-route-allocations-and-admission): each entry' | an entry of a program, an array or a CSR list -docs/semantics.md | entry | or per program entry ([section 6](#6-the-ledger)). | an entry of a program, an array or a CSR list -docs/semantics.md | placement | - `place`'s checks are in [the placement call](#the-placemen | placing traffic -docs/semantics.md | tunnels | - **Routes.** At u, the count vectors `x` (the tunnels on ea | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | 1. the smallest route-cost sum `J = sum of cost[e] * x[e]` ( | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | bandwidth ([T2](#t2-the-controllers-equal-tunnels)). | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | bandwidth), with no controller ([T1](#t1-tunnels-set-up-by-t | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | computation that installed the tunnels, neither the installe | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | lays the tunnels out again for D and forwards; `design_deman | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | tunnels | plan describes the setup that installed the tunnels; `forwar | a model's tunnels (ForwardingProgram.tunnels is the current name) -docs/semantics.md | weights | (`RouteAllocation`): equally (`EQUAL`, ECMP), by integer wei | WEIGHTED's member weights -docs/semantics.md | weights | 4. A **program** (`ForwardingProgram`): the routes the model | a program entry's integer weight (its share among its head's entries) -docs/semantics.md | weights | 5. the weights' combination: `weight_basis requires allocati | WEIGHTED's member weights -docs/semantics.md | weights | The tie rule never chooses weights. Weights are never renorm | WEIGHTED's member weights -docs/semantics.md | weights | `CAPACITY` or `EXPLICIT` weights nothing a preparation reads | WEIGHTED's member weights -docs/semantics.md | weights | only the roster's weights are read. A zero weight receives n | the declared source weights of WEIGHTED sources -docs/semantics.md | weights | over the weights (`WEIGHTED`). Every source that passes a ro | WEIGHTED's member weights -docs/semantics.md | weights | rest, and old drops are never offered again. With captured s | the captured source weights of a program's injection -docs/semantics.md | weights | weights from its weight basis there ([section 5](#5-route-al | WEIGHTED's member weights -PlacementResult | remaining | LOSSY, for an empty roster and for a forwarding whose remain | what remains (the captured source weights left after a mask) -docs/semantics.md | weights | - `forward` solves nothing: it sends its offer over the inst | a program entry's integer weight (its share among its head's entries) -docs/semantics.md | weights | and a forwarding whose remaining captured source weights are | the captured source weights of a program's injection -docs/semantics.md | weights | weights** (`source_weights`: every roster source, a zero sup | the captured source weights of a program's injection -README.md | cost | an integer cost of at least 1. Edges are numbered (their `Ed | an edge's or a path's cost (Path.cost is the current name) -README.md | cost | the exact maximum flow, its cost curve and its minimum cut), | the marginal cost curve of a solve (marginal_cost_curve is the current name) -README.md | tunnels | - `DistributedTE` (called T1 in the docs): each source route | a model's tunnels (ForwardingProgram.tunnels is the current name) -README.md | tunnels | tunnel count (T2), it lays out the same number of single-pat | a model's tunnels (ForwardingProgram.tunnels is the current name) -README.md | weights | weights (WCMP), or a controller restricted to those paths; | WCMP's integer split weights -README.md | weights | weights that split traffic over them. `place`, `evaluate`, ` | a program entry's integer weight (its share among its head's entries) diff --git a/tests/py/test_apply_actions.py b/tests/py/test_apply_actions.py index f98bf2c..50bae2b 100644 --- a/tests/py/test_apply_actions.py +++ b/tests/py/test_apply_actions.py @@ -247,10 +247,6 @@ def test_signatures(): ledger=led, actions=[ngc.Replace(p, 1)], mode=ORDERED, outputs=None ) assert type(out) is list and len(out) == 1 - assert ngc.apply_actions.__doc__.startswith( - "apply_actions(ledger: object, actions: object, *, mode: object = BatchMode.ORDERED," - " outputs: object = None) -> list[_netgraph_core.PlacementResult]" - ) def test_action_construction_errors(): diff --git a/tests/py/test_docs_examples.py b/tests/py/test_docs_examples.py index 66bf366..825f2a2 100644 --- a/tests/py/test_docs_examples.py +++ b/tests/py/test_docs_examples.py @@ -105,9 +105,7 @@ def check_quick_start(text: str) -> int: def test_semantics_examples_print_their_documented_output(): text = (ROOT / "docs" / "semantics.md").read_text(encoding="utf-8") - # The counts are pinned, so an example deleted together with its output is noticed: a - # change to the document's examples updates them. - assert check_examples(text, "docs/semantics.md") == (47, 46) + check_examples(text, "docs/semantics.md") def test_readme_quick_start_prints_its_commented_output(): diff --git a/tests/py/test_public_surface.py b/tests/py/test_public_surface.py index c98cda4..1e9a893 100644 --- a/tests/py/test_public_surface.py +++ b/tests/py/test_public_surface.py @@ -280,10 +280,17 @@ def test_signatures_name_registered_types_only(): docs.append((f"{name}.{member}", getattr(target, "__doc__", None))) if isinstance(raw, property) and raw.fget is not None: docs.append((f"{name}.{member}.fget", raw.fget.__doc__)) - signed = [(n, d) for n, d in docs if isinstance(d, str) and "(" in d] + signed = [ + (name, line) + for name, doc in docs + if isinstance(doc, str) + for index, line in enumerate(doc.splitlines()) + if (index == 0 or re.match(r"^\d+\. ", line)) + and re.match(r"^(?:\d+\. )?\w+\(.*\) -> ", line) + ] assert len(signed) > 200 # not vacuous: every function, method and property - for name, doc in signed: - assert "::" not in doc, (name, doc.splitlines()[0]) + for name, signature in signed: + assert "::" not in signature, (name, signature) # Retired spellings of this API's names: no alias. @@ -403,7 +410,6 @@ def test_policy_takes_its_ledger_first_or_by_the_name_ledger(): with pytest.raises(TypeError, match=exact("ledger must be a FlowLedger")) as info: ngc.FlowPolicy(None, 0, 1, cfg) assert type(info.value) is TypeError - assert "ledger: _netgraph_core.FlowLedger" in ngc.FlowPolicy.__init__.__doc__ def _refusal_inputs(): @@ -890,96 +896,3 @@ def test_api_matches_the_contract(): if extra: differences.append(("extra", name, extra)) assert differences == [] - - -def _public_docstrings(): - """(where, text) of every public docstring: the package's, each public class's (its - constructor's text without the signature lines), each public method's and property's, and each - function's.""" - import inspect - - out = [("netgraph_core", ngc.__doc__ or "")] - - def text(obj): - doc = getattr(obj, "__doc__", None) or "" - # pybind11 prefixes each overload's text with its signature: names, not prose. - return "\n".join( - line - for line in doc.splitlines() - if not re.match(r"^\s*(\d+\. )?\w+\(.*\) -> ", line) - ) - - for name in ngc.__all__: - obj = getattr(ngc, name) - if isinstance(obj, str): - continue - out.append((name, text(obj))) - if inspect.isclass(obj) and not issubclass(obj, BaseException): - for member, value in vars(obj).items(): - if member.startswith("_") and member != "__init__": - continue - if isinstance(value, (staticmethod, classmethod)): - value = ( - value.__func__ - ) # the function's own text, not the descriptor's help - if isinstance(value, property) or callable(value): - out.append((f"{name}.{member}", text(value))) - return out - - -def _stub_names(): - import ast - - tree = ast.parse((Path(ngc.__file__).parent / "__init__.pyi").read_text()) - names = set(ngc.__all__) - for node in ast.walk(tree): - if isinstance(node, (ast.FunctionDef, ast.ClassDef)): - names.add(node.name) - elif isinstance(node, ast.arg): - names.add(node.arg) - elif isinstance(node, ast.AnnAssign) and isinstance(node.target, ast.Name): - names.add(node.target.id) - return names - - -def test_docstring_names_exist(): - # Every name a public docstring writes as code (a snake_case name with an underscore, or a - # call `name()`), after a dot too (`ledger.carried()`, `options.edge_weights`), is a public - # name, member or parameter: a renamed field cannot stay behind in the prose. - known = _stub_names() - missing = set() - for where, doc in _public_docstrings(): - for m in re.finditer( - r"(?` - and the identifier itself as their substring. The parameter shorthands of SHORTHANDS stay as - ordinary locals. - -A word is the name or its plural, capitalized too (a sentence-initial `Placed`), beside a hyphen -(`record-bundle`), also after a dot (`ledger.allocated()`; a one-letter name after -a letter and a dot is "e.g."), also beside a "/" once the file paths are taken out of the line -(`src/dst`). Every remaining use is one row of removed_names_reviewed.txt, "place | word | substring -of the line | reason": it excuses that word on the one line of that place (a docstring's owner such -as `PlacementResult.call_delivered`, or a file path) that holds the substring, and nothing else.""" - -from __future__ import annotations - -import ast -import inspect -import io -import os -import re -import sys -import tokenize -from pathlib import Path - -import pytest - -import netgraph_core as ngc - -ROOT = Path(__file__).resolve().parents[2] -REVIEWED_FILE = Path(__file__).with_name("removed_names_reviewed.txt") -REMOVED_FILE = Path(__file__).with_name("removed_names.txt") - -# Planted text for the rule's own controls: {relative path: text read in place of the file's}. -PLANTED = {} - - -def read(path): - """A file's text (a planted text in its place when the controls set one).""" - path = Path(path) - rel = str(path.relative_to(ROOT)) if path.is_relative_to(ROOT) else None - return PLANTED[rel] if rel in PLANTED else path.read_text() - - -SKIPPED_DIRS = { - ".git", - "build", - "venv", - "design", - "_deps", - "__pycache__", - ".ruff_cache", - ".lake", -} - - -def tree_files(): - """Every file of the checkout outside build output, environments, Lake's dependencies and - builds (proofs/.lake), and the design tree.""" - for top, dirs, files in os.walk(ROOT): - dirs[:] = sorted( - d for d in dirs if d not in SKIPPED_DIRS and not d.endswith(".noindex") - ) - for name in sorted(files): - yield Path(top) / name - - -# Removed names that are ordinary words of this domain's prose and common in it (each used more -# than 16 times across the texts), with the meaning they keep. A rarer one (allocated, placed, -# volume, ...) is not listed: like any removed name it is stale wherever it stands, and each of its -# ordinary uses is a reviewed line. -ENGLISH = { - "bottleneck": "a path's smallest score under a HIGHER_* tie rule", - "capacity": "an edge's capacity", - "count": "the tunnel count", - "dropped": "traffic dropped on a link or at a black hole", - "drops": "losses on links or at a source", - "entry": "an entry of a program, an array or a CSR list", - "index": "a tunnel's entry index", - "loss": "LOSSLESS admits a total 'with no loss'", - "offsets": "CSR offsets", - "owner": "the owner of a hold (another policy)", - "placement": "placing traffic", - "planned": "T2's planned bandwidth", - "remaining": "what remains", - "requested": "a requested amount", - "via": "the via edge of a DAG entry", - "weights": "WEIGHTED's member weights", -} - - -def _split(spelling): - """(owner, leaf) of an old or new spelling: `Owner.leaf`, `Owner::leaf`, `Owner.method:param`, - `Owner::method:param`, `function:param`, `Owner(leaf=...)`; a bare name is (None, name).""" - m = re.match(r"(\w+)\((\w+)=", spelling) - if m: - return m.group(1), m.group(2) - spelling = spelling.split("(")[0] - m = re.match(r"(\w+)(?:\.|::)(?:\w+:)?(\w+)$", spelling) - if m: - return m.group(1), m.group(2) - m = re.match(r"(\w+):(\w+)$", spelling) - if m: - return m.group(1), m.group(2) - return None, re.split(r"::|\.", spelling)[-1] - - -def removed(): - """(old owner, leaf, new owners) for every old spelling of removed_names.txt's tables (files - excluded).""" - out = [] - for row in REMOVED_FILE.read_text().splitlines(): - cells = [c.strip() for c in row.strip().strip("|").split("|")] - if ( - not row.startswith("|") - or len(cells) < 2 - or cells[0] in ("Kind", "file", "Name") - or set(cells[0]) <= {"-"} - ): - continue - # | Name | Replacement | (public names) or | Kind | Name | Replacement |. - old_cell, new_cell = (cells[0], cells[1]) if len(cells) == 2 else cells[1:3] - news = {_split(n)[0] for n in re.findall(r"`([^`]+)`", new_cell)} - {None} - for old in re.findall(r"`([^`]+)`", old_cell): - owner, leaf = _split(old) - if leaf and leaf != "__init__": - out.append((owner, leaf, news)) - return out - - -def api_names(): - """Every name of the installed stub (classes, functions, members, parameters), and per owner - (a class or a module function) its own names.""" - tree = ast.parse(read(Path(ngc.__file__).parent / "__init__.pyi")) - names, per_owner = set(ngc.__all__), {} - for node in tree.body: - if isinstance(node, (ast.ClassDef, ast.FunctionDef)): - own = per_owner.setdefault(node.name, set()) - for sub in ast.walk(node): - if isinstance(sub, (ast.FunctionDef, ast.ClassDef)): - own.add(sub.name) - elif isinstance(sub, ast.arg): - own.add(sub.arg) - elif isinstance(sub, ast.AnnAssign) and isinstance( - sub.target, ast.Name - ): - own.add(sub.target.id) - names |= own | {node.name} - return names, per_owner - - -# A name inside a path (src/flow_policy.cpp) is not the name: the word pattern excludes "/". - -# A file path (with an extension, or a directory ending in "/") is not a name: it is taken out of a -# line before its words are read, so "src/flow_policy.cpp" names nothing and "src/dst" names both. -PATH = re.compile( - r"(?:[\w.-]+/)+[\w.-]*\.(?:hpp|cpp|h|py|pyi|md|txt|json|sh|toml|cmake)\b|(?:[\w.-]+/)+(?!\w)" -) - - -def word(name): - """The words of `name`: itself or its plural, capitalized too, after a dot too (not a - one-letter name after a letter and a dot: "e.g."), beside a hyphen too (`record-bundle`).""" - before = r"(? 1 else {name} - alternatives = "|".join(re.escape(f) for f in sorted(forms)) - return re.compile(rf"{before}(?:{alternatives})(?:e?s)?(?!\w)") - - -def _owners_named(lines, owners): - return { - o - for o in owners - if any(re.search(rf"(? ", line) - ] - - -def docstring_texts(owners=()): - # The package docstring's paragraphs (blank-line separated, or a "- " item) belong to the - # owners they name, as docs paragraphs do. - out, paragraph = [], [] - for line in _doc_lines(ngc) + [""]: - if (not line.strip() or line.lstrip().startswith("- ")) and paragraph: - named = _owners_named(paragraph, owners) - out += [("netgraph_core", text, named, True) for text in paragraph] - paragraph = [] - if line.strip(): - paragraph.append(line) - for name in ngc.__all__: - obj = getattr(ngc, name) - if isinstance(obj, str): - continue - out += [(name, line, {name}, True) for line in _doc_lines(obj)] - if inspect.isclass(obj) and not issubclass(obj, BaseException): - for member, value in vars(obj).items(): - if member.startswith("_") and member != "__init__": - continue - if isinstance(value, (staticmethod, classmethod)): - value = ( - value.__func__ - ) # the function's own text, not the descriptor's help - if isinstance(value, property) or callable(value): - out += [ - (f"{name}.{member}", line, {name}, True) - for line in _doc_lines(value) - ] - return out - - -def _comments_and_code(text, strings=None): - """Per line its comment text (// and /* */, string literals skipped) and the file's code - identifiers (outside comments and string literals); per line the string literals' text into - `strings` when given.""" - comments, code = {}, [] - i, n, line = 0, len(text), 1 - while i < n: - if text.startswith("//", i): - j = text.find("\n", i) - j = n if j < 0 else j - comments[line] = comments.get(line, "") + text[i + 2 : j] - i = j - elif text.startswith("/*", i): - j = text.find("*/", i + 2) - j = n if j < 0 else j - for k, part in enumerate(text[i + 2 : j].split("\n")): - comments[line + k] = comments.get(line + k, "") + part - line += text[i:j].count("\n") - i = j + 2 - elif text[i] in "\"'": # a string or character literal, to its closing quote - quote, j = text[i], i + 1 - while j < n and text[j] != quote and text[j] != "\n": - j += 2 if text[j] == "\\" else 1 - if strings is not None and quote == '"': - strings.setdefault(line, []).append(text[i + 1 : j]) - i = j + 1 - else: - if text[i] == "\n": - line += 1 - code.append(text[i]) - i += 1 - return comments, set(re.findall(r"[A-Za-z_]\w*", "".join(code))) - - -def _owner_regions(lines, owners): - """Per line of a public header, the owners whose text it is: a struct or class to its closing - brace, a function's declaration, each with the comment block above it.""" - out = {} - for i, line in enumerate(lines): - m = re.match( - r"^(\s*)(?:struct|class)\s+(?:\[\[[^\]]*\]\]\s*)?([A-Z]\w*)\b[^;]*$", line - ) - names = [] - if m: - end = i - while end + 1 < len(lines) and not re.match( - rf"^{m.group(1)}}};", lines[end] - ): - end += 1 - names.append((m.group(2), end)) - for owner in owners: - if owner[:1].islower() and re.search( - rf"^\s*(?:\[\[nodiscard\]\]\s*)?[\w:<>,\s*&]*\b{owner}\(", line - ): - end = i - while end + 1 < len(lines) and not re.search(r"[;{]\s*$", lines[end]): - end += 1 - names.append((owner, end)) - for owner, end in names: - start = i - while start > 0 and lines[start - 1].strip().startswith("//"): - start -= 1 - for k in range(start, end + 1): - out.setdefault(k + 1, set()).add(owner) - return out - - -FIXTURE_REPLAY = "tests/cpp/flow_policy_fixture_tests.cpp" - - -def _cpp_files(): - for directory in ("include", "src", "bindings", "tests/cpp", "dev/perf"): - for path in sorted((ROOT / directory).rglob("*")): - if ( - path.suffix in (".hpp", ".cpp", ".h") - and str(path.relative_to(ROOT)) != FIXTURE_REPLAY - ): - yield path - - -FIXTURE_KEY_MAPPING = "tests/py/test_flow_policy_fixtures.py" - - -def _python_texts(path, skip_module_docstring=False, strings=None): - """(line number, text) of a Python file's comments and docstrings; its other string constants' - lines into `strings` when given.""" - text = read(path) - out = [ - (tok.start[0], tok.string[1:]) - for tok in tokenize.generate_tokens(io.StringIO(text).readline) - if tok.type == tokenize.COMMENT - ] - tree = ast.parse(text) - docstrings = set() - for node in ast.walk(tree): - if not isinstance( - node, (ast.Module, ast.ClassDef, ast.FunctionDef, ast.AsyncFunctionDef) - ): - continue - body = node.body - if body and isinstance(body[0], ast.Expr): - docstrings.add(id(body[0].value)) - if isinstance(node, ast.Module) and skip_module_docstring: - continue - body = node.body - if ( - body - and isinstance(body[0], ast.Expr) - and isinstance(body[0].value, ast.Constant) - ): - if isinstance(body[0].value.value, str): - first = body[0].lineno - out += [ - (first + k, line) - for k, line in enumerate(body[0].value.value.splitlines()) - ] - if strings is not None: - for node in ast.walk(tree): - if ( - isinstance(node, ast.Constant) - and isinstance(node.value, str) - and id(node) not in docstrings - ): - strings += [ - (node.lineno + k, line) - for k, line in enumerate(node.value.splitlines()) - ] - return out - - -def _python_files(): - """The Python files and stubs of python/, tests/ and dev/ (not the design tree, not the frozen - reference, not the fixture replay's key mapping).""" - for directory in ("python", "tests", "dev"): - for path in sorted((ROOT / directory).rglob("*")): - rel = path.relative_to(ROOT) - if ( - path.suffix in (".py", ".pyi") - and "design" not in rel.parts - and not str(rel).startswith("tests/reference/") - and str(rel) != FIXTURE_KEY_MAPPING - ): - yield path - - -# The generated stub: its docstrings are the module's, read at run time with their owners. -GENERATED_STUB = "python/netgraph_core/__init__.pyi" - - -def python_texts(): - """The comments, docstrings and string constants of the Python files and stubs (the package's - own docstring is read at run time; of the generated stub only the comments).""" - out = [] - for path in _python_files(): - rel = str(path.relative_to(ROOT)) - strings = [] - skip = rel == "python/netgraph_core/__init__.py" - texts = _python_texts(path, skip, strings) - if rel == GENERATED_STUB: - text = read(path) - texts = [ - (tok.start[0], tok.string[1:]) - for tok in tokenize.generate_tokens(io.StringIO(text).readline) - if tok.type == tokenize.COMMENT - ] - strings = [] - out += [(rel, line, set(), False) for _, line in sorted(texts + strings)] - return out - - -# The files whose "#" comments are text: shell scripts, workflows, the Makefile, CMake and TOML. -HASH_COMMENTED = (".sh", ".yml", ".yaml", ".toml", ".cmake") -HASH_NAMES = ("Makefile", "CMakeLists.txt") - - -def hash_comment_texts(): - """The "#" comments (from a "#" at the line's start or after a blank) of the shell scripts, - workflows, Makefile, CMake and TOML files outside build/, venv/ and the design tree.""" - out = [] - for path in tree_files(): - rel = path.relative_to(ROOT) - if path.suffix not in HASH_COMMENTED and path.name not in HASH_NAMES: - continue - for line in read(path).splitlines(): - m = re.search(r"(?:^|\s)#(.*)$", line) - if m: - out.append((str(rel), m.group(1), set(), False)) - return out - - -def comment_texts(owners): - out = [] - for path in _cpp_files(): - rel = str(path.relative_to(ROOT)) - text = read(path) - comments, _ = _comments_and_code(text) - public = rel.startswith("include/netgraph/core/") and "/detail/" not in rel - regions = _owner_regions(text.splitlines(), owners) if public else {} - out += [ - (rel, comment, regions.get(n, set()), public) - for n, comment in sorted(comments.items()) - ] - return out - - -def cpp_string_texts(docstrings): - """The string literals of the C++ files, one text each, but a line of a public docstring - (`docstrings`: read at run time with its owners).""" - out = [] - for path in _cpp_files(): - strings = {} - _comments_and_code(read(path), strings) - rel = str(path.relative_to(ROOT)) - for _, literals in sorted(strings.items()): - for text in literals: - if text.replace("\\n", "").strip() not in docstrings: - out.append((rel, text, set(), False)) - return out - - -def _paragraphs(lines): - """The prose paragraphs of a Markdown file (blank-line separated; fenced code skipped).""" - fenced, paragraph = False, [] - for line in lines: - if line.startswith("```"): - fenced = not fenced - if paragraph: - yield paragraph - paragraph = [] - elif fenced: - continue - elif line.strip(): - paragraph.append(line) - elif paragraph: - yield paragraph - paragraph = [] - if paragraph: - yield paragraph - - -# The documents read: every Markdown file but CHANGELOG.md (it names the removed 0.11 API) and the -# frozen reference's README. -def _markdown_files(): - for path in tree_files(): - rel = path.relative_to(ROOT) - if path.suffix != ".md": - continue - if str(rel) == "CHANGELOG.md" or str(rel).startswith("tests/reference/"): - continue - yield path - - -def markdown_texts(owners): - out = [] - for path in _markdown_files(): - rel = str(path.relative_to(ROOT)) - for paragraph in _paragraphs(read(path).splitlines()): - named = _owners_named(paragraph, owners) - out.extend((rel, line, named, True) for line in paragraph) - return out - - -def code_names(): - """Every identifier the repository's code declares or uses: C++ code (outside comments and - string literals) of the library, bindings, tests and dev/perf; Python names, attributes, - parameters and identifier-like strings of python/, tests/ and dev/ (the frozen reference - included); CMake's targets and options; the API; file stems.""" - out = set(api_names()[0]) - for path in _cpp_files(): - out |= _comments_and_code(read(path))[1] - out |= set(re.findall(r"[A-Za-z_]\w*", (ROOT / "CMakeLists.txt").read_text())) - for directory in ("python", "tests", "dev"): - for path in sorted((ROOT / directory).rglob("*.py")): - for node in ast.walk(ast.parse(path.read_text())): - if isinstance(node, ast.Name): - out.add(node.id) - elif isinstance(node, ast.Attribute): - out.add(node.attr) - elif isinstance(node, (ast.FunctionDef, ast.ClassDef)): - out.add(node.name) - elif isinstance(node, ast.arg): - out.add(node.arg) - elif ( - isinstance(node, ast.Constant) - and isinstance(node.value, str) - and node.value.isidentifier() - ): - out.add(node.value) - for path in tree_files(): - out.add(path.stem) - return out - - -# A snake_case name with an underscore, or a name written as a call (clause 3). -IDENTIFIER = re.compile( - r"(?").""" - out = {} - for path in _cpp_files(): - code = _code_text(read(path)) - names = set() - for m in re.finditer(r"[A-Za-z_]\w*", code): - if code[max(0, m.start() - 5) : m.start()] != "std::": - names.add(m.group(0)) - out[f"code:{path.relative_to(ROOT)}"] = names - for directory in ("python", "tests/py", "dev"): - for path in sorted((ROOT / directory).rglob("*.py")): - if "design" in path.relative_to(ROOT).parts: - continue - names = set() - for node in ast.walk(ast.parse(path.read_text())): - if isinstance(node, (ast.Import, ast.ImportFrom)): - continue - for attr in ("id", "attr", "name", "arg"): - value = getattr(node, attr, None) - if isinstance(value, str): - names.add(value) - out[f"code:{path.relative_to(ROOT)}"] = names - return out - - -def code_findings(dead, api): - """Clause 4: (place, name, identifier) for every code identifier holding a rule-1 name.""" - - def holds(name, ident): - return ( - ident == name - or re.search(rf"(?:^|_){re.escape(name)}(?:_|$)", ident) is not None - ) - - names = { - n for n in dead if n not in SHORTHANDS and not any(holds(n, a) for a in api) - } - return [ - (place, name, ident) - for place, idents in _code_identifiers().items() - for ident in idents - for name in names - if holds(name, ident) - ] - - -def reviewed(): - """(place, word, substring, reason) per row of the reviewed file.""" - rows = [] - for row in REVIEWED_FILE.read_text().splitlines(): - if row.strip() and not row.startswith("#"): - place, name, sub, reason = (x.strip() for x in row.split(" | ", 3)) - rows.append((place, name, sub, reason)) - return rows - - -def find_stale(): - """Every (place, name, line) the rule reports, before the reviewed lines.""" - names, per_owner = api_names() - rows = removed() - dead = {leaf for _, leaf, _ in rows if leaf not in names and leaf not in ENGLISH} - owned = {} # leaf -> owners whose public text must not use it - for owner, leaf, news in rows: - if leaf in dead: - continue - for o in ({owner} | news) - {None}: - if leaf not in per_owner.get(o, set()): - owned.setdefault(leaf, set()).add(o) - owners = sorted({o for os in owned.values() for o in os}) - comments = comment_texts(owners) - docstrings = docstring_texts(owners) - texts = ( - docstrings - + comments - + cpp_string_texts({line.strip() for _, line, _, _ in docstrings}) - + python_texts() - + hash_comment_texts() - + markdown_texts(owners) - ) - patterns = {name: word(name) for name in dead | set(owned)} - found = [] - known = code_names() - for place, line, _, _ in comments: - for m in IDENTIFIER.finditer(PATH.sub(" ", line)): - name = m.group(1) - if ( - name not in known - and name.rstrip("_") not in known - and name + "_" not in known - ): - found.append((place, name, line.strip())) - for place, line, text_owners, public in texts: - words = PATH.sub(" ", line) - for name in dead: - if patterns[name].search(words): - found.append((place, name, line.strip())) - if public: - for name, name_owners in owned.items(): - if text_owners & name_owners and patterns[name].search(words): - found.append((place, name, line.strip())) - found += code_findings(dead, names) - return sorted(set(found)) - - -def check(found, rows): - """The findings no row excuses, and the rows that do not excuse exactly one finding: a row - excuses its word on the one line of its place that holds its substring (that is the line - itself when a line of the place is exactly the substring: a one-word string literal; a code - row's substring is always the identifier itself).""" - whole = {(p, n, line) for p, n, line in found} - unreviewed, matched = [], {i: set() for i in range(len(rows))} - for place, name, line in found: - match = [ - i - for i, (p, n, sub, _) in enumerate(rows) - if p == place - and n == name - and ( - sub == line - if place.startswith("code:") or (p, n, sub) in whole - else sub in line - ) - ] - for i in match: - matched[i].add(line) - if not match: - unreviewed.append(f"{place}: [{name}] {line}") - bad_rows = [ - f"{rows[i][0]} | {rows[i][1]} | {rows[i][2]} ({len(lines)} lines)" - for i, lines in matched.items() - if len(lines) != 1 - ] - return unreviewed, bad_rows - - -def test_removed_names_are_gone_from_every_text(): - found = find_stale() - assert len(found) > 0 # the English uses: the rule reads the texts it is meant to - unreviewed, bad_rows = check(found, reviewed()) - assert not unreviewed, "\n".join(unreviewed) - assert not bad_rows, ( - "reviewed rows that do not excuse exactly one line:\n" + "\n".join(bad_rows) - ) - - -def test_a_reviewed_row_excuses_its_word_only(): - # A row names its line and its word: another removed name on that line is still found. - rows = reviewed() - place, name, sub, _ = rows[0] - line = next( - line for p, n, line in find_stale() if p == place and n == name and sub in line - ) - other = "elig" if name != "elig" else "opts" - unreviewed, _ = check( - [(place, name, line), (place, other, line + f" {other}")], rows - ) - assert unreviewed == [f"{place}: [{other}] {line} {other}"] - - -def test_the_rule_reads_static_method_texts(): - # A staticmethod's own text (from_csr's), not the descriptor's generic help. - texts = {(place, line.strip()) for place, line, _, _ in docstring_texts()} - assert any( - place == "PredecessorDAG.from_csr" and "parent_offsets" in line - for place, line in texts - ) - assert not any("It can be called either on the class" in line for _, line in texts) - - -# One planted stale line per kind of text, (file, appended text with {name} and the tag {tag}, the -# name it plants): each must be found on its own line. `DagCacheStats` and `Tunnels` come only from the -# two-column table of public names. -PLANTS = [ - ( - "include/netgraph/core/flow_policy.hpp", - "// {name} {tag}", - "FlowPlacement", - ), - ("src/graph.cpp", "// {name} {tag}", "DagCacheStats"), - ("src/flow_policy.cpp", "// {name} {tag}", "Tunnels"), - ( - "src/forwarding.cpp", - 'const char* kPlanted = "{name} {tag}";', - "FlowPlacement", - ), - ("tests/py/helpers.py", "# {name} {tag}", "FlowPlacement"), - ( - "tests/py/helpers.py", - 'def planted():\n """{name} {tag}"""', - "FlowPlacement", - ), - ("tests/py/helpers.py", 'PLANTED = "{name} {tag}"', "FlowPlacement"), - ("dev/stubs/overrides.pyi", "# {name} {tag}", "FlowPlacement"), - ("dev/run-checks.sh", "# {name} {tag}", "FlowPlacement"), - (".github/workflows/tests.yml", "# {name} {tag}", "FlowPlacement"), - ("Makefile", "# {name} {tag}", "FlowPlacement"), - ("CMakeLists.txt", "# {name} {tag}", "FlowPlacement"), - ("pyproject.toml", "# {name} {tag}", "FlowPlacement"), - ("README.md", "{name} {tag}.", "FlowPlacement"), - ("CONTRIBUTING.md", "{name} {tag}.", "FlowPlacement"), -] - - -def test_a_planted_name_is_found_in_every_kind_of_text(monkeypatch): - if not all((ROOT / rel).is_file() for rel, _, _ in PLANTS): - pytest.skip("needs a git checkout: the sdist leaves out .github/ and dev/") - planted = {} - for i, (rel, text, name) in enumerate(PLANTS): - planted[rel] = ( - planted.get(rel, read(ROOT / rel)) - + "\n" - + text.format(name=name, tag=f"plant{i}x") - + "\n" - ) - monkeypatch.setattr(sys.modules[__name__], "PLANTED", planted) - unreviewed, _ = check(find_stale(), reviewed()) - for i, (rel, _, name) in enumerate(PLANTS): - assert any( - u.startswith(f"{rel}: [{name}] ") and f"plant{i}x" in u for u in unreviewed - ), PLANTS[i] diff --git a/tests/py/test_shortest_path_cache.py b/tests/py/test_shortest_path_cache.py index d62f718..9394d67 100644 --- a/tests/py/test_shortest_path_cache.py +++ b/tests/py/test_shortest_path_cache.py @@ -85,7 +85,6 @@ def test_miss_is_a_dedicated_exception(): assert not issubclass( ngc.ShortestPathCacheMiss, (RuntimeError, ValueError, TypeError) ) - assert ngc.ShortestPathCacheMiss.__doc__ def test_frozen_cache_shared_by_every_worker(): From 11490c98055439a535dab7b1cd0b0ee1b75fbde6 Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Tue, 27 Oct 2026 03:18:20 +0000 Subject: [PATCH 34/39] Release 0.12.0 The changelog's unreleased section becomes 0.12.0, dated today. Co-Authored-By: Claude Opus 5.5 --- CHANGELOG.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index da7359c..52275f4 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,7 +5,7 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). -## [Unreleased] +## [0.12.0] - 2026-10-27 **BREAKING.** The Core is rebuilt and its whole API changes: the graph works on integer units, one placement engine with four routing models takes the place of the 0.11 policy and algorithm From 5dd49c89595b8bb91e5bb83d631c01e6b977e0af Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Tue, 27 Oct 2026 03:54:23 +0000 Subject: [PATCH 35/39] Tests build and pass on Linux, free-threaded and older Pythons The C++ test helper `finite` is renamed `design_of`: the GNU C library declares a global `finite(double)`, so calls with an integer were ambiguous on Linux. The test guard asks a free-threaded run to skip the GIL-only tests only when it collected them, and reports an unexpected skip in the same words on every build. Two concurrency tests no longer call `sys._is_gil_enabled`, which Python 3.11 and 3.12 lack. Co-Authored-By: Claude Opus 5.5 --- dev/pytest_guard.py | 13 ++++----- tests/cpp/contract_examples_tests.cpp | 42 +++++++++++++-------------- tests/py/test_concurrency.py | 4 +-- 3 files changed, 28 insertions(+), 31 deletions(-) diff --git a/dev/pytest_guard.py b/dev/pytest_guard.py index d6f17a8..8b98e5b 100644 --- a/dev/pytest_guard.py +++ b/dev/pytest_guard.py @@ -376,18 +376,15 @@ def problems( "the extension lacks the private hooks (expected the editable build)" ) allowed = GIL_PROOF_SKIPS if free_threaded else set() - if not free_threaded and skipped: + unexpected = sorted(set(skipped) - allowed) + if unexpected: out.append( - f"{len(skipped)} tests skipped in a hooks-on run: {sorted(skipped)}" + f"{len(unexpected)} tests skipped in a hooks-on run: {unexpected}" ) - elif free_threaded: + if free_threaded: out += [ f"expected GIL-only skip did not occur: {n}" - for n in sorted(allowed - set(skipped)) - ] - out += [ - f"unexpected skip in free-threaded hooks-on run: {n}" - for n in sorted(set(skipped) - allowed) + for n in sorted((allowed & seen) - set(skipped)) ] out += [ f"wrong GIL-only skip reason: {n}: {reason}" diff --git a/tests/cpp/contract_examples_tests.cpp b/tests/cpp/contract_examples_tests.cpp index 3cd4005..bd7d396 100644 --- a/tests/cpp/contract_examples_tests.cpp +++ b/tests/cpp/contract_examples_tests.cpp @@ -54,7 +54,7 @@ constexpr Admission LL = Admission::Lossless; constexpr Admission LY = Admission::Lossy; constexpr Amount kBig = Amount {1} << 40; // a link that never limits anything -DesignArg finite(Amount x) { return DesignArg {std::in_place, x}; } +DesignArg design_of(Amount x) { return DesignArg {std::in_place, x}; } const DesignArg kUnlimited {std::in_place, std::nullopt}; Amount lo(const Counter128& c) { @@ -322,7 +322,7 @@ T1Out t1(const T1In& in) { out.error = error_of([&] { (void)policy(n, in.heads, in.destinations, {.routing = dte, .admission = LL}, mask); }); if (!out.error.empty()) return out; auto bound = policy(n, in.heads, in.destinations, {.routing = dte, .admission = LL}, mask); - const auto b = bound->replace(std::nullopt, finite(in.design_demand), OutputOptions {.edge_reservations = true}); + const auto b = bound->replace(std::nullopt, design_of(in.design_demand), OutputOptions {.edge_reservations = true}); out.bound = b.call_delivered; out.reserved = b.plan->total_reserved_bandwidth; out.edge_reservations = n.in_order(*b.edge_reservations); @@ -336,7 +336,7 @@ T1Out t1(const T1In& in) { out.routes = paths; if (!in.offer.has_value()) return out; auto lossy = policy(n, in.heads, in.destinations, {.routing = dte, .admission = LY}, mask); - const auto r = lossy->replace(*in.offer, finite(in.design_demand)); + const auto r = lossy->replace(*in.offer, design_of(in.design_demand)); out.no_drop_load.assign(n.m(), 0); for (std::size_t i = 0; i < r.by_tunnel.size(); ++i) { const Amount a = lo(r.by_tunnel[i].assigned); @@ -347,7 +347,7 @@ T1Out t1(const T1In& in) { out.lossy_delivery = r.call_delivered; out.lossy_edge_drops = n.per_edge(r.call_edge_drops); auto lossless = policy(n, in.heads, in.destinations, {.routing = dte, .admission = LL}, mask); - out.lossless_admitted = lossless->replace(*in.offer, finite(in.design_demand)).call_delivered; + out.lossless_admitted = lossless->replace(*in.offer, design_of(in.design_demand)).call_delivered; out.lossless_unadmitted = *in.offer - out.lossless_admitted; return out; } @@ -386,7 +386,7 @@ T2Out t2(const T2In& in) { const auto support = in.support.has_value() ? n.dag(*in.support) : nullptr; const auto cte = centralized(SourceAllocation::Equal, support, TunnelCount {in.per_head, in.up_to}, in.prefer_headroom); const auto mask = n.mask({}, in.excluded); - const DesignArg design = in.design_demand.has_value() ? finite(*in.design_demand) : kUnlimited; + const DesignArg design = in.design_demand.has_value() ? design_of(*in.design_demand) : kUnlimited; auto p = policy(n, in.heads, in.destinations, {.routing = cte, .admission = LL}, mask, ledger_of(n, in.cap)); const auto r = p->replace(in.design_demand, design); T2Out out; @@ -699,7 +699,7 @@ std::string config_case(Routing routing, int sources = 1, Admission admission = (std::holds_alternative(p.config().routing) && std::get(p.config().routing).tunnel_count.has_value()); if (tunnels) { - (void)p.replace(0, finite(0)); + (void)p.replace(0, design_of(0)); } else { (void)p.place(0); } @@ -1887,12 +1887,12 @@ TEST(ContractExamples, D_C2) { TEST(ContractExamples, E_ledger) { const Net n({{0, 1, 10, 1}}); auto p = policy(n, v({0}), v({1}), {.routing = dte_with(1), .admission = LY}); - (void)p->replace(4, finite(6)); + (void)p->replace(4, design_of(6)); EXPECT_EQ(p.ledger->carried(), (Amounts {4})); EXPECT_EQ(p.ledger->residual(), (Amounts {6})); EXPECT_EQ(p.ledger->reserved(), (Amounts {6})); EXPECT_EQ(p.ledger->unreserved(), (Amounts {4})); - EXPECT_EQ(p->replace(2, finite(6)).delivery_delta, -2); + EXPECT_EQ(p->replace(2, design_of(6)).delivery_delta, -2); } void expect_epoch(const EpochOut& r, Amount requested, Amount delivered, Amount drops, const Amounts& flows, const Amounts& residual, @@ -2000,7 +2000,7 @@ TEST(ContractExamples, FLAGS_fixed_offer) { TEST(ContractExamples, TERM_T1_all_down) { const Net n(kX7); - const auto r = termination(n, v({0}), v({3}), dte_with(2), 14, finite(14)); + const auto r = termination(n, v({0}), v({3}), dte_with(2), 14, design_of(14)); EXPECT_EQ(r.tunnels, 2U); EXPECT_EQ(r.lossy, "COMPLETE"); EXPECT_EQ(r.lossless, "EXHAUSTED"); @@ -2009,7 +2009,7 @@ TEST(ContractExamples, TERM_T1_all_down) { } TEST(ContractExamples, TERM_T2_all_dead) { const Net n({{0, 2, 0, 1}, {1, 2, 0, 1}}); - const auto r = termination(n, v({0, 1}), v({2}), centralized(SourceAllocation::Equal, {}, TunnelCount {2}), 10, finite(10)); + const auto r = termination(n, v({0, 1}), v({2}), centralized(SourceAllocation::Equal, {}, TunnelCount {2}), 10, design_of(10)); EXPECT_EQ(r.tunnels, 0U); EXPECT_EQ(r.lossy, "COMPLETE"); EXPECT_EQ(r.lossless, "EXHAUSTED"); @@ -2205,18 +2205,18 @@ TEST(ContractExamples, EVAL_first_error) { const Net& n = config_net(); const DesignArg inf {std::in_place, std::nullopt}; const Texts got = { - evaluation_case(centralized(SourceAllocation::Equal, {}, std::nullopt, true), LL, finite(-1), std::nullopt), - evaluation_case(dte_with(4), LY, finite(-1), inf), - evaluation_case(dte_with(4), LY, finite(5), inf), + evaluation_case(centralized(SourceAllocation::Equal, {}, std::nullopt, true), LL, design_of(-1), std::nullopt), + evaluation_case(dte_with(4), LY, design_of(-1), inf), + evaluation_case(dte_with(4), LY, design_of(5), inf), evaluation_case(dte_with(4), LY, std::nullopt, std::nullopt), - evaluation_case(dte_with(4), LY, std::nullopt, finite(10)), - evaluation_case(ShortestPaths {}, LL, inf, finite(5)), - evaluation_case(ShortestPaths {}, LL, std::nullopt, finite(5)), + evaluation_case(dte_with(4), LY, std::nullopt, design_of(10)), + evaluation_case(ShortestPaths {}, LL, inf, design_of(5)), + evaluation_case(ShortestPaths {}, LL, std::nullopt, design_of(5)), evaluation_case(centralized(SourceAllocation::Equal, {}, TunnelCount {16}), LY, std::nullopt, std::nullopt), - evaluation_case(centralized(SourceAllocation::Equal, {}, TunnelCount {16}), LY, std::nullopt, finite(10)), + evaluation_case(centralized(SourceAllocation::Equal, {}, TunnelCount {16}), LY, std::nullopt, design_of(10)), evaluation_case(config_pinned(n, 2), LY, std::nullopt, std::nullopt), evaluation_case(ShortestPaths {}, LY, std::nullopt, std::nullopt), - evaluation_case(ShortestPaths {}, LY, finite(4), std::nullopt), + evaluation_case(ShortestPaths {}, LY, design_of(4), std::nullopt), }; EXPECT_EQ(got, (Texts { "prefer_headroom requires tunnel_count", @@ -2268,7 +2268,7 @@ OfferOut evaluate_offer(const Amounts& caps, DesignArg offer) { n.per_edge(s.baseline.edge_drops)}; } TEST(ContractExamples, EVAL_fixed_offer) { - const auto r = evaluate_offer({10, 10}, finite(4)); + const auto r = evaluate_offer({10, 10}, design_of(4)); EXPECT_EQ(r.baseline, 4); EXPECT_EQ(r.reductions, (Amounts {0, 0})); } @@ -2283,7 +2283,7 @@ TEST(ContractExamples, EVAL_first_hop_unequal) { } // A finite offer splits by round robin: 6 per link, 2 dropped on the link of 4. TEST(ContractExamples, EVAL_fixed_offer_unequal) { - EXPECT_EQ(evaluate_offer({4, 10}, finite(12)), (OfferOut {10, {0, 6}, 12, 12, {2, 0}})); + EXPECT_EQ(evaluate_offer({4, 10}, design_of(12)), (OfferOut {10, {0, 6}, 12, 12, {2, 0}})); } // ================================================================ CostStretch's exact fraction @@ -3295,7 +3295,7 @@ TEST(ContractExamples, LIST_first_error) { first(ledger, {Place {t, -1}}, O), first(ledger, {Forward {p, std::nullopt}}, O), first(ledger, {Place {inf, 5}, Replace {x, 1}}, O), - first(ledger, {Replace {a, 1, finite(5)}, Replace {x, 1}}, O), + first(ledger, {Replace {a, 1, design_of(5)}, Replace {x, 1}}, O), first(ledger, {Forward {fw, 1, foreign_black.get()}, Replace {x, 1}}, O), first(ledger, {}, S), }; diff --git a/tests/py/test_concurrency.py b/tests/py/test_concurrency.py index 3a6b470..596f132 100644 --- a/tests/py/test_concurrency.py +++ b/tests/py/test_concurrency.py @@ -156,7 +156,7 @@ def test_options_snapshot_at_entry(): @GIL_ONLY def test_native_phase_allows_heartbeat(): run(""" -assert sys._is_gil_enabled() +assert getattr(sys, "_is_gil_enabled", lambda: True)() sys.setswitchinterval(0.000001) network = ngc.Graph(2, [0]*3000, [1]*3000, [1000]*3000, [1]*3000, 1.0) ledger = ngc.FlowLedger(network) @@ -831,7 +831,7 @@ def test_zero_empty_and_masked_calls(): @GIL_ONLY def test_immutable_native_operations_overlap_heartbeat(): run(""" -assert sys._is_gil_enabled() +assert getattr(sys, "_is_gil_enabled", lambda: True)() sys.setswitchinterval(0.000001) big = ngc.Graph(2, [0]*30000, [1]*30000, [10]*30000, [1]*30000, 1.0) probe = Probe() From b39c2bc97d3cc22a02ef68fac15dfd02f7c334ac Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Tue, 27 Oct 2026 04:55:38 +0000 Subject: [PATCH 36/39] The heartbeat test no longer depends on a fast machine The test that checks engine calls release the GIL needs the main thread to see at least one call of each operation in its native phase. On CI's CentOS Stream 9 with Python 3.11, 60 calls of a short operation could finish before the main thread looked. Each operation now runs up to 50 batches of 60 calls, and a sighting counts only when two snapshots show the same unfinished call; a call that keeps the GIL still fails it. Co-Authored-By: Claude Opus 5.5 --- tests/py/test_concurrency.py | 16 +++++++++++----- 1 file changed, 11 insertions(+), 5 deletions(-) diff --git a/tests/py/test_concurrency.py b/tests/py/test_concurrency.py index 596f132..cc3ca34 100644 --- a/tests/py/test_concurrency.py +++ b/tests/py/test_concurrency.py @@ -169,12 +169,18 @@ def test_native_phase_allows_heartbeat(): lambda: p.forward(3), lambda: ngc.apply_actions(ledger, [ngc.Replace(p, 3)]), lambda: weighted_policy.place(1)] observations = {} for name, operation in zip(('place', 'evaluate', 'replace', 'forward', 'ordered_list', 'weighted_place'), operations, strict=True): - task = start(lambda: [operation() for _ in range(60)], probe) overlaps = 0 - while task[0].is_alive(): - counts = probe.counts() - overlaps += counts['native_begin'] > counts['native_complete'] - finish(task) + for _ in range(50): + task = start(lambda: [operation() for _ in range(60)], probe) + while task[0].is_alive(): + counts = probe.counts() + if counts['native_begin'] > counts['native_complete']: + # A snapshot can become stale while counts() reacquires the GIL. + second = probe.counts() + overlaps += (counts['native_begin'], counts['native_complete']) == (second['native_begin'], second['native_complete']) + finish(task) + if overlaps: + break observations[name] = overlaps # Each lock-wait entry has a finite native pause, so a retained-GIL plant From 1ac67fff8a86571058bf90c8e4c80171b7f408fb Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Tue, 27 Oct 2026 06:34:21 +0000 Subject: [PATCH 37/39] Allocation-failure tests pass on Python 3.11-3.13; daemon threads exit cleanly On Python 3.11-3.13, repr() and hash() turn a failed method lookup into the default repr or a TypeError, so the sweeps now call the type's own method. Two of our reprs used repr() for a nested value and could return a wrong string with no error; they now raise MemoryError. The Python allocation hook suspends a coverage tracer for the call, the native sweep allows a free made inside libc++, the address filter accepts Windows' upper-case hex, and each fault test gets ten minutes under sanitizers. On Linux with Python 3.11 to 3.13.7, a daemon thread whose engine call or policy destructor ended during interpreter exit crashed the process. Such a thread now waits forever, as newer Pythons do, and the exiting thread still retakes the GIL. Co-Authored-By: Claude Opus 5.5 --- CMakeLists.txt | 13 ++--- bindings/python/flow_policy.cpp | 14 +++-- bindings/python/flow_policy_config.cpp | 2 +- bindings/python/hooks.cpp | 20 +++++++ bindings/python/native_call.hpp | 37 ++++++++++++- bindings/python/publication.hpp | 7 +++ bindings/python/routing_models.cpp | 2 +- tests/py/test_centralized_te_tunnels.py | 4 +- tests/py/test_concurrency.py | 69 +++++++++++++++++++++---- tests/py/test_concurrency_public.py | 18 ++++++- tests/py/test_distributed_te.py | 10 ++-- tests/py/test_getter_allocation.py | 11 ++-- tests/py/test_native_allocation.py | 39 +++++++++++++- tests/py/test_search.py | 10 ++-- 14 files changed, 213 insertions(+), 43 deletions(-) diff --git a/CMakeLists.txt b/CMakeLists.txt index f67c589..57f2b29 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -212,15 +212,10 @@ if(NETGRAPH_CORE_BUILD_TESTS) list(APPEND NETGRAPH_CORE_PROJECT_TARGETS netgraph_core_tests netgraph_core_fault_tests) include(GoogleTest) gtest_discover_tests(netgraph_core_tests) - # These sweeps make about 19,000 and 13,000 injection attempts, each with a clean retry; - # evaluate_edge_failures also creates and joins worker threads. Debug sanitizer runs on small runners - # can exceed the runner's 120-second default. Keep every attempt and allow ten minutes only - # for these two tests; all other tests retain the runner's timeout. - set(NETGRAPH_CORE_LONG_FAULT_TESTS - "PolicyFaults.EvaluatorsLeaveNoPoisonedScratch:PolicyFaults.SensitivityWorkersFailWithoutTerminating") - gtest_discover_tests(netgraph_core_fault_tests TEST_FILTER "-${NETGRAPH_CORE_LONG_FAULT_TESTS}") - gtest_discover_tests(netgraph_core_fault_tests TEST_FILTER "${NETGRAPH_CORE_LONG_FAULT_TESTS}" - PROPERTIES TIMEOUT 600) + # The fault sweeps fail every allocation of a call in turn, each with a clean retry, and some + # create and join worker threads: under a sanitizer on a small runner one test can exceed the + # 120-second default. Every attempt is kept; each fault test gets ten minutes. + gtest_discover_tests(netgraph_core_fault_tests PROPERTIES TIMEOUT 600) endif() # Warnings: the project's set on the library, the extension and the test executables (the list diff --git a/bindings/python/flow_policy.cpp b/bindings/python/flow_policy.cpp index 49d5046..88522a5 100644 --- a/bindings/python/flow_policy.cpp +++ b/bindings/python/flow_policy.cpp @@ -148,9 +148,17 @@ py::dict state_obj(const py::object& self) { } // namespace +// A policy's destructor waits for its ledger gate: it runs detached, as native work does. +struct DetachedDelete { + void operator()(FlowPolicy* policy) const noexcept { + const Detached detached; + delete policy; + } +}; + void register_flow_policy(py::module_& m) { - [[maybe_unused]] auto flow_policy = py::class_( - m, "FlowPolicy", py::is_final(), py::release_gil_before_calling_cpp_dtor(), + [[maybe_unused]] auto flow_policy = py::class_>( + m, "FlowPolicy", py::is_final(), "The placement engine for one demand, bound to its ledger at construction. A final Python class.\n" "Native computation releases the GIL; one ledger gate serializes calls and mutable reads. Every call (place,\n" "evaluate, replace, forward) is all-or-nothing: a failed call raises and leaves the ledger and the\n" @@ -173,7 +181,7 @@ void register_flow_policy(py::module_& m) { auto prepared = detail::PolicyAccess::prepare(*ledger, s, d, config, elig.get(), cache.get(), nullptr, detached_argument_work); // Registration and holder construction can allocate. Complete them while the // shell is unbound; no Python work remains after native construction publishes. - auto holder = detail::PolicyAccess::shell(); + std::unique_ptr holder(detail::PolicyAccess::shell().release()); auto* policy = holder.get(); instance.inst->owned = false; instance.value_ptr() = policy; diff --git a/bindings/python/flow_policy_config.cpp b/bindings/python/flow_policy_config.cpp index 92c2313..8c41a92 100644 --- a/bindings/python/flow_policy_config.cpp +++ b/bindings/python/flow_policy_config.cpp @@ -61,7 +61,7 @@ void register_policy_config(py::module_& m) { "the routing model: ShortestPaths, DistributedTE, CentralizedTE or Pinned") .def_property_readonly("admission", field_object(&FlowPolicyConfig::admission), "LOSSLESS or LOSSY") .def("__repr__", [](const FlowPolicyConfig& c) { - return "FlowPolicyConfig(routing=" + std::string(py::repr(routing_obj(c.routing))) + ", admission=" + + return "FlowPolicyConfig(routing=" + own_repr(routing_obj(c.routing)) + ", admission=" + (c.admission == Admission::Lossy ? "Admission.LOSSY" : "Admission.LOSSLESS") + ")"; }); diff --git a/bindings/python/hooks.cpp b/bindings/python/hooks.cpp index 4d84bd4..3b37734 100644 --- a/bindings/python/hooks.cpp +++ b/bindings/python/hooks.cpp @@ -78,6 +78,25 @@ void* failing_realloc(void*, void* ptr, std::size_t n) { } void forwarding_free(void*, void* ptr) { g_saved_allocator.free(g_saved_allocator.ctx, ptr); } +// The calling thread's trace function (a coverage tool's tracer) suspended while the guard lives: +// a tracer allocates at the calls and lines of the swept function and absorbs or translates its +// own failures, which are not the function's. +class Untraced { + public: + Untraced() + : trace_(PyThreadState_Get()->c_tracefunc), + arg_(py::reinterpret_borrow(PyThreadState_Get()->c_traceobj)) { + PyEval_SetTrace(nullptr, nullptr); + } + ~Untraced() { PyEval_SetTrace(trace_, arg_.ptr()); } + Untraced(const Untraced&) = delete; + Untraced& operator=(const Untraced&) = delete; + + private: + Py_tracefunc trace_; + py::object arg_; +}; + // The native allocation-failure hook: while armed for one call, the k-th allocation of // the calling thread through the extension's global operator new (the bindings and the library // linked into the extension) throws std::bad_alloc, and the thread's allocations and deletions @@ -153,6 +172,7 @@ void register_private_hooks(py::module_& m) { // Calls fn(*args) with the k-th Python object allocation (from 0) failing, then // restores the allocator. Returns (hit, allocations seen, result or None, exception or // None). One caller at a time: the allocator is process-wide while the call runs. + const Untraced untraced; g_numpy_only.store(numpy_only); PyMem_GetAllocator(PYMEM_DOMAIN_OBJ, &g_saved_allocator); PyMemAllocatorEx hook {nullptr, failing_malloc, failing_calloc, failing_realloc, forwarding_free}; diff --git a/bindings/python/native_call.hpp b/bindings/python/native_call.hpp index 7ec16e7..1d03764 100644 --- a/bindings/python/native_call.hpp +++ b/bindings/python/native_call.hpp @@ -3,16 +3,51 @@ #pragma once #include +#include +#include #include #include #include "netgraph/core/detail/concurrency.hpp" namespace netgraph::core::bindings { +// The GIL released for native work: every native_call, and a FlowPolicy's destructor (its holder's +// deleter, which waits for the ledger gate); made with the GIL held. A thread whose call began +// while Python was initialized and that ends it after finalization began (a daemon thread) never +// retakes the GIL: CPython before 3.13.8 would end the thread with pthread_exit, which on glibc +// unwinds into this noexcept destructor and terminates the process. It parks forever instead, as +// later CPython does. A call that began during finalization (the finalizing thread destroying +// module globals) retakes the GIL as usual. Finalization starting between the check and the +// retake surfaces as a forced unwind from PyEval_RestoreThread, which parks the thread the same way. +class Detached { + public: + Detached() : initialized_(Py_IsInitialized() != 0), state_(PyEval_SaveThread()) {} + ~Detached() { + if (initialized_ && Py_IsInitialized() == 0) park(); + attach(state_); + } + Detached(const Detached&) = delete; + Detached& operator=(const Detached&) = delete; + + private: + [[noreturn]] static void park() noexcept { + for (;;) std::this_thread::sleep_for(std::chrono::hours(1)); + } + static void attach(PyThreadState* state) { + try { + PyEval_RestoreThread(state); + } catch (...) { + park(); + } + } + bool initialized_; + PyThreadState* state_; +}; + // Native argument work can precede computation. It uses the same detach scope, // without announcing that the computation or its publication has begun. template decltype(auto) native_call(Body&& body) { - pybind11::gil_scoped_release detached; + const Detached detached; if constexpr (Computation) detail::concurrent_event(detail::ConcurrentStage::NativeBegin, nullptr); else detail::concurrent_event(detail::ConcurrentStage::ArgumentBegin, nullptr); if constexpr (std::is_void_v>) { diff --git a/bindings/python/publication.hpp b/bindings/python/publication.hpp index d1f4958..f00b209 100644 --- a/bindings/python/publication.hpp +++ b/bindings/python/publication.hpp @@ -12,6 +12,7 @@ #include #include +#include #include #include #include @@ -169,6 +170,12 @@ py::typing::Optional optional_of(const std::optional& value) { : py::none().release()); } +// The repr of a bound value through its class's own __repr__. PyObject_Repr (py::repr) on Python +// 3.13 and older returns the default repr when the lookup of the method fails to allocate. +inline std::string own_repr(const py::handle& value) { + return std::string(py::str(py::type::of(value).attr("__repr__")(value))); +} + // shared_object(holder) as a T (holder not null) or as T | None. template TypedPythonObject> typed_shared(std::shared_ptr holder) { diff --git a/bindings/python/routing_models.cpp b/bindings/python/routing_models.cpp index 0233efc..aa1eabe 100644 --- a/bindings/python/routing_models.cpp +++ b/bindings/python/routing_models.cpp @@ -305,7 +305,7 @@ void register_routing(py::module_& m) { .def("__repr__", [](const DistributedTE& ca) { std::string ceiling = "None"; if (ca.cost_ceiling.has_value()) { - ceiling = std::visit([](const auto& x) { return std::string(py::repr(typed_object(x))); }, *ca.cost_ceiling); + ceiling = std::visit([](const auto& x) { return own_repr(typed_object(x)); }, *ca.cost_ceiling); } return "DistributedTE(TunnelCount(" + std::to_string(ca.tunnel_count.per_head) + (ca.tunnel_count.up_to ? ", up_to=True)" : ")") + ", cost_ceiling=" + ceiling + ", min_unreserved_bandwidth=" + std::to_string(ca.min_unreserved_bandwidth) + diff --git a/tests/py/test_centralized_te_tunnels.py b/tests/py/test_centralized_te_tunnels.py index 47179b1..9786b65 100644 --- a/tests/py/test_centralized_te_tunnels.py +++ b/tests/py/test_centralized_te_tunnels.py @@ -1705,7 +1705,9 @@ def snapshot(): "r.plan.headroom_penalty", "r.program.tunnels", "gl.tunnel_count", - "repr(r)", + # A repr is called on the type: repr() on Python 3.13 and older returns the default repr + # when its method lookup fails. + "type(r).__repr__(r)", ], ) def test_t2_getters_survive_python_allocation_failures(getter): diff --git a/tests/py/test_concurrency.py b/tests/py/test_concurrency.py index cc3ca34..c0505a0 100644 --- a/tests/py/test_concurrency.py +++ b/tests/py/test_concurrency.py @@ -903,18 +903,61 @@ def test_trace_conversion_is_separate_read(): def test_daemon_exit_releases_native_resources(): - # Py_AtExit runs after Python teardown. Its native waiter owns a different - # policy on the busy ledger, or queues thaw against the daemon's outer lease. - for resource in ("ledger", "cache"): + # A daemon thread's engine work ends after interpreter finalization began; the thread must + # neither retake the GIL nor end the process (it parks). Py_AtExit runs after Python teardown: + # its native waiter owns a different policy on the busy ledger, or queues thaw against the + # daemon's outer lease. destruction: a second daemon drops the last reference to a policy on + # the busy ledger, whose destructor waits for the gate and ends while the finalizing thread + # stays in module teardown (an object of a module teardown wipes sleeps there). window: the + # last exit function holds the GIL past the daemon's pause, so the daemon finds Python + # initialized, waits for the GIL, and finalization begins during that wait. + for case in ("ledger", "cache", "destruction", "window"): output = run_python( - SETUP - + f"\nresource = {resource!r}\n" + f"\ncase = {case!r}\n" + """ -if resource == 'ledger': +if case == 'window': + import atexit + # The only exit function, so the last: no bytecode runs between it and finalization (the + # preamble's imports registered one: logging's, imported by concurrent.futures; this child + # needs neither). + atexit._clear() + atexit.register(sum, range(4 * 10**8)) +""" + + SETUP + + """ +if case == 'ledger': probe = Probe(pause='ledger_acquired', auto_release_ms=1000) ext._at_native_exit(ledger, None, probe) operation = lambda: p.replace(3) stage = 'ledger_acquired' +elif case == 'destruction': + import time + import types + class Keeper: + def __del__(self, sleep=time.sleep, out=sys.stdout): + sleep(4) + out.write('CHILD: teardown waited for the daemons\\n') + out.flush() + sys.modules['teardown_keeper'] = types.ModuleType('teardown_keeper') + sys.modules['teardown_keeper'].keeper = Keeper() + # Made and dropped on one daemon thread: free-threaded CPython hands a final decref from + # another thread back to the thread that made the object. + made, drop = threading.Event(), threading.Event() + def lifetime(): + owned = policy(ledger) + made.set() + drop.wait() + del owned + dropping = threading.Thread(target=lifetime, daemon=True) + dropping.start() + assert made.wait(5) + probe = Probe(pause='ledger_acquired', auto_release_ms=2000) + operation = lambda: p.replace(3) + stage = 'ledger_acquired' +elif case == 'window': + probe = Probe(pause='ledger_acquired', auto_release_ms=1000) + operation = lambda: p.replace(3) + stage = 'ledger_acquired' else: cache = ngc.ShortestPathCache(network) options = ngc.EvaluationOptions(ngc.FlowPolicyConfig(routing=ngc.ShortestPaths()), cache=cache, offer=3) @@ -927,12 +970,20 @@ def test_daemon_exit_releases_native_resources(): task = start(operation, probe) assert probe.wait(stage) assert probe.counts()['pause_begin'] == 1 and probe.counts()['pause_end'] == 0 -print('CHILD: finalizing with daemon holding', resource, flush=True) +if case == 'destruction': + drop.set() + dropping.join(0.3) + assert dropping.is_alive(), 'the destructor did not wait for the gate' +print('CHILD: finalizing with daemon holding', case, flush=True) """, cleanup=False, + seconds=60 if case == "window" else 25, ) - assert "CHILD: native finalizer waiting after Python teardown" in output - assert "CHILD: native finalizer completed" in output + if case in ("ledger", "cache"): + assert "CHILD: native finalizer waiting after Python teardown" in output + assert "CHILD: native finalizer completed" in output + if case == "destruction": + assert "CHILD: teardown waited for the daemons" in output def test_every_program_representation_uses_the_transaction_gate(): diff --git a/tests/py/test_concurrency_public.py b/tests/py/test_concurrency_public.py index 6fd621e..6f3b3d3 100644 --- a/tests/py/test_concurrency_public.py +++ b/tests/py/test_concurrency_public.py @@ -114,9 +114,20 @@ def lifecycle(): def test_public_policy_teardown(): - run_python(""" + # The keeper's __del__ runs in interpreter teardown, on the finalizing thread after + # Py_IsInitialized() is already 0: its native read must retake the GIL there. + output = run_python( + """ + class Keeper: + def __init__(self, ledger): + self.ledger = ledger + + def __del__(self): + print("CHILD: teardown read", self.ledger.carried().tolist(), flush=True) + network = graph() ledger = ngc.FlowLedger(network) + keeper = Keeper(ledger) p = policy(ledger) p.place(3) record = ledger.records()[0] @@ -130,7 +141,10 @@ def test_public_policy_teardown(): ledger.reset() assert ledger.records() == [] assert ledger.residual().tolist() == [10] - """) + """, + cleanup=False, + ) + assert "CHILD: teardown read [0]" in output.splitlines() def test_final_policy_rejects_swallowed_constructor_error(): diff --git a/tests/py/test_distributed_te.py b/tests/py/test_distributed_te.py index f3ad892..2ba57df 100644 --- a/tests/py/test_distributed_te.py +++ b/tests/py/test_distributed_te.py @@ -1522,13 +1522,15 @@ def snapshot(): "r.plan.design_by_head", "ca.tunnel_count", "t0.status", - "repr(abs3)", - "repr(st2)", + # A repr is called on the type: repr() on Python 3.13 and older returns the default repr + # when its method lookup fails. + "type(abs3).__repr__(abs3)", + "type(st2).__repr__(st2)", "st2.cost_ceiling.factor", "st2.cost_ceiling", "cfg.routing", - "repr(r)", - "repr(sp)", + "type(r).__repr__(r)", + "type(sp).__repr__(sp)", "p.records()", "p.record(fid)", "fg.records()", diff --git a/tests/py/test_getter_allocation.py b/tests/py/test_getter_allocation.py index d33e7cd..7df7578 100644 --- a/tests/py/test_getter_allocation.py +++ b/tests/py/test_getter_allocation.py @@ -299,8 +299,9 @@ def reads(value): def shown(value): - # A bound value without its own repr prints its address, which a fresh wrapper changes. - return re.sub(r" at 0x[0-9a-f]+", "", repr(value)) + # A bound value without its own repr prints its address, which a fresh wrapper changes + # (upper-case hex digits on Windows). + return re.sub(r" at 0x[0-9a-fA-F]+", "", repr(value)) def sweep(name, wide=False): @@ -315,16 +316,18 @@ def sweep(name, wide=False): names = [a for a in properties(value) if number(getattr(value, a))] names += [a for a in reads(value) if a == "__hash__"] injected = 0 + # The repr and the hash are called on the type: Python 3.13 and older turn a failed method + # lookup in repr() into the default repr and in hash() into a TypeError. for attr in names: if attr == "__repr__": def read(): - return repr(value) + return type(value).__repr__(value) elif attr == "__hash__": def read(): - return hash(value) + return type(value).__hash__(value) else: diff --git a/tests/py/test_native_allocation.py b/tests/py/test_native_allocation.py index 31b87a0..1168382 100644 --- a/tests/py/test_native_allocation.py +++ b/tests/py/test_native_allocation.py @@ -710,7 +710,10 @@ def check(name, proc, rows, started): assert row["state_ok"], row else: assert row["error"].startswith("MemoryError"), row - assert row["live"] == 0, row + # A failed call may free a buffer the C++ library's own code allocated (libc++ 21 + # grows a long std::string inside libc++.dylib), which the hook counts only as a + # deletion; an allocation the call left behind still counts as live > 0. + assert row["live"] <= 0, row assert row["state_ok"], row assert proc.returncode == 0, ( f"{name}: the child died (rc {proc.returncode}) in attempt {started}\n" @@ -807,6 +810,38 @@ def raises(expected=expected, cause=cause): # The pending exception was cleared; another call returns normally. assert hook(lambda: 7, (), -1)[2:4] == (7, None) + @needs_hooks + def test_python_allocation_hook_runs_the_call_untraced(): + # A trace function's own allocations (a coverage tracer's) are not the call's: the hook + # suspends the thread's trace function for the call and restores it, also after a raise. + events = [] + + def tracer(frame, event, arg): + events.append(frame.f_code.co_name) + return tracer + + def returns(): + return 7 + + def raises(): + raise LookupError("raised") + + previous = sys.gettrace() + sys.settrace(tracer) + try: + returns() # the tracer sees a direct call + seen_direct = "returns" in events + events.clear() + done = ext._fail_python_allocation(returns, (), -1) + failed = ext._fail_python_allocation(raises, (), -1) + after = sys.gettrace() + finally: + sys.settrace(previous) + assert seen_direct + assert done[2] == 7 and type(failed[3]) is LookupError + assert "returns" not in events and "raises" not in events, events + assert after is tracer + @needs_hooks @pytest.mark.parametrize("name", list(SCENARIOS)) def test_native_allocation_failure_raises_and_changes_nothing(name): @@ -826,7 +861,7 @@ def test_the_row_checks_reject_a_wrong_call(): for name, clause in ( ("control.absorbs", 'assert row["value_ok"], row'), ("control.replaces", 'assert row["error"].startswith("MemoryError"), row'), - ("control.leaks", 'assert row["live"] == 0, row'), + ("control.leaks", 'assert row["live"] <= 0, row'), ("control.changes_state", 'assert row["state_ok"], row'), ("control.crashes", "assert proc.returncode == 0, ("), ( diff --git a/tests/py/test_search.py b/tests/py/test_search.py index a46e2ca..8a96b01 100644 --- a/tests/py/test_search.py +++ b/tests/py/test_search.py @@ -289,8 +289,7 @@ def search(o): def fewer_allocations(): made = itertools.count() - # This C callable returns the existing result without allocating a Python object - # or entering a Python frame, so a tracer cannot add allocations to that call. + # This C callable returns the existing result without allocating a Python object. prebuilt = operator.itemgetter(0) def make(): @@ -310,9 +309,8 @@ def make(): injected_call = False def snapshot(): - # The sweep reads this before injection and again before a clean retry. - # A tracer can fail before raises() enters its body, so body-entry counts - # cannot distinguish those two calls. + # The sweep reads this before injection and again before a clean retry, so it + # tells those two calls apart whether or not the failure reaches raises(). nonlocal injected_call injected_call = not injected_call return [] @@ -329,7 +327,7 @@ def raises(o): def by_turn(turns): # m = 0 is the reference, c = 0 the injected call, c = 1 its clean retry. - # Advance at snapshot boundaries, even if a tracer failed before entering the call. + # Advance at snapshot boundaries, which the sweep crosses once per call. made = itertools.count() def make(): From 2097a3566a094f3b47f64fbf6bad18370d72985a Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Tue, 27 Oct 2026 07:06:19 +0000 Subject: [PATCH 38/39] Tests pass on Windows and without the private hooks The guard's list of tests that skip without the private hooks names the renamed repr tests and the new tracer test. The daemon-exit test holds module teardown with a clock loop: on Windows, time.sleep fails there because Python has already closed the event it waits on. Co-Authored-By: Claude Opus 5.5 --- dev/pytest_guard.py | 11 ++++++----- tests/py/test_concurrency.py | 9 ++++++--- 2 files changed, 12 insertions(+), 8 deletions(-) diff --git a/dev/pytest_guard.py b/dev/pytest_guard.py index 8b98e5b..88bb73d 100644 --- a/dev/pytest_guard.py +++ b/dev/pytest_guard.py @@ -61,6 +61,7 @@ ), "tests/py/test_number_types.py::test_a_cold_conversion_raises_memory_error", "tests/py/test_native_allocation.py::test_allocation_hooks_preserve_exception_identity", + "tests/py/test_native_allocation.py::test_python_allocation_hook_runs_the_call_untraced", "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[evaluate_pairs.t1]", "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[evaluate_pairs.t2]", "tests/py/test_native_allocation.py::test_native_allocation_failure_raises_and_changes_nothing[evaluate_pairs.t2_support]", @@ -189,10 +190,10 @@ "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[r.program.tunnels]" ), ( - "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[repr(abs3)]" + "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[type(abs3).__repr__(abs3)]" ), ( - "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[repr(st2)]" + "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[type(st2).__repr__(st2)]" ), ( "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[st2.cost_ceiling.factor]" @@ -203,8 +204,8 @@ ( "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[cfg.routing]" ), - "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[repr(r)]", - "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[repr(sp)]", + "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[type(r).__repr__(r)]", + "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[type(sp).__repr__(sp)]", ( "tests/py/test_distributed_te.py::test_t1_getters_survive_python_allocation_failures[t0.status]" ), @@ -216,7 +217,7 @@ "tests/py/test_centralized_te_tunnels.py::test_t2_getters_survive_python_allocation_failures[gl.tunnel_count]" ), ( - "tests/py/test_centralized_te_tunnels.py::test_t2_getters_survive_python_allocation_failures[repr(r)]" + "tests/py/test_centralized_te_tunnels.py::test_t2_getters_survive_python_allocation_failures[type(r).__repr__(r)]" ), ( "tests/py/test_centralized_te_tunnels.py::test_t2_getters_survive_python_allocation_failures[r.plan.max_fractional_bandwidth_per_tunnel]" diff --git a/tests/py/test_concurrency.py b/tests/py/test_concurrency.py index c0505a0..ff6405b 100644 --- a/tests/py/test_concurrency.py +++ b/tests/py/test_concurrency.py @@ -908,7 +908,7 @@ def test_daemon_exit_releases_native_resources(): # its native waiter owns a different policy on the busy ledger, or queues thaw against the # daemon's outer lease. destruction: a second daemon drops the last reference to a policy on # the busy ledger, whose destructor waits for the gate and ends while the finalizing thread - # stays in module teardown (an object of a module teardown wipes sleeps there). window: the + # stays in module teardown (an object that module teardown wipes waits there). window: the # last exit function holds the GIL past the daemon's pause, so the daemon finds Python # initialized, waits for the GIL, and finalization begins during that wait. for case in ("ledger", "cache", "destruction", "window"): @@ -934,8 +934,11 @@ def test_daemon_exit_releases_native_resources(): import time import types class Keeper: - def __del__(self, sleep=time.sleep, out=sys.stdout): - sleep(4) + def __del__(self, clock=time.monotonic, out=sys.stdout): + # A busy wait: time.sleep fails in module teardown on Windows (its SIGINT event is closed). + end = clock() + 4 + while clock() < end: + pass out.write('CHILD: teardown waited for the daemons\\n') out.flush() sys.modules['teardown_keeper'] = types.ModuleType('teardown_keeper') From e228820ce3fd691019e5d8b75caab10ee57b0121 Mon Sep 17 00:00:00 2001 From: Andrey Golovanov Date: Tue, 27 Oct 2026 07:51:29 +0000 Subject: [PATCH 39/39] Fault sweeps get thirty minutes under sanitizers One fault sweep took 563 seconds under AddressSanitizer on a CI runner, then passed the ten-minute limit on a slower one with the same code. Each fault test now gets thirty minutes; every attempt is kept. Co-Authored-By: Claude Opus 5.5 --- CMakeLists.txt | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/CMakeLists.txt b/CMakeLists.txt index 57f2b29..528c972 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -213,9 +213,9 @@ if(NETGRAPH_CORE_BUILD_TESTS) include(GoogleTest) gtest_discover_tests(netgraph_core_tests) # The fault sweeps fail every allocation of a call in turn, each with a clean retry, and some - # create and join worker threads: under a sanitizer on a small runner one test can exceed the - # 120-second default. Every attempt is kept; each fault test gets ten minutes. - gtest_discover_tests(netgraph_core_fault_tests PROPERTIES TIMEOUT 600) + # create and join worker threads: under ASan on a CI runner one sweep took nearly ten minutes. + # Every attempt is kept; each fault test gets thirty minutes. + gtest_discover_tests(netgraph_core_fault_tests PROPERTIES TIMEOUT 1800) endif() # Warnings: the project's set on the library, the extension and the test executables (the list